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"cell_type": "code", + "execution_count": 4, + "id": "9d150dc1-0fab-4048-b3f6-3cc788c7179f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Remove stripes using remove_all_stripe\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from httomolibgpu.prep.stripe import remove_all_stripe\n", + "\n", + "print(\"Remove stripes using remove_all_stripe\")\n", + "\n", + "sino3d = cp.ascontiguousarray(\n", + " cp.ones((sinogram.shape[0], 3, sinogram.shape[1])), dtype=cp.float32\n", + ")\n", + "sino3d[:, 1, :] = sinogram\n", + "\n", + "sino3d = remove_all_stripe(sino3d)\n", + "\n", + "plt.figure()\n", + "plt.imshow(sino3d[:, 1, :].get())\n", + "plt.title(\"Sinogram after stripes removal\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "275e446c-f9ae-4e6a-9620-62ad145a8370", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using FBP\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using FBP\")\n", + "from httomolibgpu.recon.algorithm import FBP\n", + "\n", + "reconFBP = FBP(sino3d, angles=angles, center=cor)\n", + "reconFBP_np = reconFBP.get()\n", + "\n", + "plt.figure()\n", + "plt.imshow(reconFBP_np[500:2000, 1, 500:2000], vmin=0, vmax=0.01)\n", + "plt.title(\"Reconstruction with FBP\")\n", + "plt.show()" + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/.doctrees/nbsphinx/examples/DistortionCorr.ipynb b/.doctrees/nbsphinx/examples/DistortionCorr.ipynb new file mode 100644 index 00000000..ce16d5dd --- /dev/null +++ b/.doctrees/nbsphinx/examples/DistortionCorr.ipynb @@ -0,0 +1,110 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 3 (Distortion corr)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "from httomolibgpu.prep.alignment import distortion_correction_proj_discorpy\n", + "\n", + "# Load the projection data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(\n", + " path_lib, \"..\", \"tests/test_data/\", \"distortion-correction/dot_pattern_03.tif\"\n", + " )\n", + ")\n", + "im_host = plt.imread(in_file)\n", + "im = cp.asarray(im_host)\n", + "\n", + "# Define the `preview` to not crop out any of the image\n", + "PREVIEW = {\"starts\": [0, 0], \"stops\": [im.shape[0], im.shape[1]], \"steps\": [1, 1]}\n", + "\n", + "# Point to the file containing the distortion coefficients (assumed to be\n", + "# calculated in advance of the main processing pipeline)\n", + "distortion_coeffs_file_path = os.path.abspath(\n", + " os.path.join(\n", + " path_lib,\n", + " \"..\",\n", + " \"tests/test_data/\",\n", + " \"distortion-correction/distortion-coeffs.txt\",\n", + " )\n", + ")\n", + "\n", + "# Apply distortion correction\n", + "corrected_images = distortion_correction_proj_discorpy(\n", + " im, distortion_coeffs_file_path, PREVIEW\n", + ")\n", + "corrected_images = cp.squeeze(corrected_images)\n", + "\n", + "sliceSel = 64\n", + "corrected_images_np = corrected_images.get()\n", + "\n", + "plt.figure()\n", + "plt.imshow(im_host)\n", + "plt.title(\"Uncorrected image\")\n", + "plt.show()\n", + "\n", + "plt.figure()\n", + "plt.imshow(corrected_images_np)\n", + "plt.title(\"Corrected image\")\n", + "plt.show()" + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/.doctrees/nbsphinx/examples/pipeline1_FBP.ipynb b/.doctrees/nbsphinx/examples/pipeline1_FBP.ipynb new file mode 100644 index 00000000..6b11b8b4 --- /dev/null +++ b/.doctrees/nbsphinx/examples/pipeline1_FBP.ipynb @@ -0,0 +1,285 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 1 (FBP and Fourier)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### This example shows how to use methods from the HTTomolibgpy library to do the following:\n", + "* normalise the data \n", + "* calculate the centre of rotation using Vo Centering method\n", + "* reconstruct using the FBP and Fourier algorithms" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The shape of the data is (180, 128, 160) as (projections, detector Y, detector X)\n", + "Normalising the data\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "from httomolibgpu.prep.normalize import normalize\n", + "\n", + "# Load the projection data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(path_lib, \"..\", \"tests/test_data/\", \"tomo_standard.npz\")\n", + ")\n", + "datafile = np.load(in_file)\n", + "host_data = datafile[\"data\"]\n", + "host_flats = datafile[\"flats\"]\n", + "host_darks = datafile[\"darks\"]\n", + "\n", + "print(\n", + " \"The shape of the data is {} as (projections, detector Y, detector X)\".format(\n", + " np.shape(host_data)\n", + " )\n", + ")\n", + "\n", + "print(\"Normalising the data\")\n", + "data = cp.asarray(host_data)\n", + "flats = cp.asarray(host_flats)\n", + "darks = cp.asarray(host_darks)\n", + "data_normalised = normalize(data, flats, darks, cutoff=10, minus_log=False)\n", + "\n", + "sliceSel = 64\n", + "data_normalised_np = data_normalised.get()\n", + "\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(data_normalised_np[sliceSel, :, :])\n", + "plt.title(\"Projection view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(data_normalised_np[:, sliceSel, :])\n", + "plt.title(\"Sinogram view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(data_normalised_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finding the Center of Rotation for the reconstruction\n", + "The found Center of Rotation is 79.5\n" + ] + } + ], + "source": [ + "from httomolibgpu.recon.rotation import find_center_vo\n", + "\n", + "print(\"Finding the Center of Rotation for the reconstruction\")\n", + "cor = find_center_vo(data_normalised, ind=64)\n", + "print(\"The found Center of Rotation is {}\".format(cor))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Applying Paganin filter\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from httomolibgpu.prep.phase import paganin_filter_tomopy\n", + "\n", + "print(\"Applying Paganin filter\")\n", + "phase_contrast_data = paganin_filter_tomopy(\n", + " data_normalised, pixel_size=0.1, dist=50, energy=53, alpha=1e-5\n", + ")\n", + "\n", + "sliceSel = 64\n", + "phase_contrast_data_np = phase_contrast_data.get()\n", + "\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(phase_contrast_data_np[sliceSel, :, :])\n", + "plt.title(\"Projection view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(phase_contrast_data_np[:, sliceSel, :])\n", + "plt.title(\"Sinogram view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(phase_contrast_data_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using FBP\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using FBP\")\n", + "\n", + "from httomolibgpu.recon.algorithm import FBP\n", + "\n", + "angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0])\n", + "\n", + "reconFBP = FBP(phase_contrast_data, angles=angles, center=cor)\n", + "\n", + "reconFBP_np = reconFBP.get()\n", + "\n", + "sliceSel = 64\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(reconFBP_np[sliceSel, :, :])\n", + "plt.title(\"Recon coronal view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(reconFBP_np[:, sliceSel, :])\n", + "plt.title(\"Axial view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(reconFBP_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using Fourier (LPRec)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using Fourier (LPRec)\")\n", + "\n", + "from httomolibgpu.recon.algorithm import LPRec\n", + "\n", + "angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0])\n", + "\n", + "reconLPRec = LPRec(phase_contrast_data, angles=angles, center=cor)\n", + "\n", + "reconLPRec_np = reconLPRec.get()\n", + "\n", + "sliceSel = 64\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(reconLPRec_np[sliceSel, :, :])\n", + "plt.title(\"Recon coronal view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(reconLPRec_np[:, sliceSel, :])\n", + "plt.title(\"Axial view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(reconLPRec_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/.doctrees/nbsphinx/examples/pipeline2_iterative.ipynb b/.doctrees/nbsphinx/examples/pipeline2_iterative.ipynb new file mode 100644 index 00000000..8ca6a985 --- /dev/null +++ b/.doctrees/nbsphinx/examples/pipeline2_iterative.ipynb @@ -0,0 +1,191 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 2 (Iterative Rec)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### This example shows how to use methods from the HTTomolibgpu library to do the following:\n", + "\n", + "* normalise the data \n", + "* calculate the centre of rotation using phase-cross correlation method\n", + "* reconstruct using the iterative algorithm" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The shape of the data is (180, 128, 160) as (projections, detector Y, detector X)\n", + "Normalising the data\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "from httomolibgpu.prep.normalize import normalize\n", + "\n", + "# Load the projection data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(path_lib, \"..\", \"tests/test_data/\", \"tomo_standard.npz\")\n", + ")\n", + "datafile = np.load(in_file)\n", + "host_data = datafile[\"data\"]\n", + "host_flats = datafile[\"flats\"]\n", + "host_darks = datafile[\"darks\"]\n", + "\n", + "print(\n", + " \"The shape of the data is {} as (projections, detector Y, detector X)\".format(\n", + " np.shape(host_data)\n", + " )\n", + ")\n", + "\n", + "print(\"Normalising the data\")\n", + "data = cp.asarray(host_data)\n", + "flats = cp.asarray(host_flats)\n", + "darks = cp.asarray(host_darks)\n", + "data_normalised = normalize(data, flats, darks, cutoff=10, minus_log=True)\n", + "\n", + "sliceSel = 64\n", + "data_normalised_np = data_normalised.get()\n", + "\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(data_normalised_np[sliceSel, :, :])\n", + "plt.title(\"Projection view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(data_normalised_np[:, sliceSel, :])\n", + "plt.title(\"Sinogram view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(data_normalised_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finding the Center of Rotation for the reconstruction\n", + " Platform does not have any supported GPU!\n", + " Platform verification failed\n", + " platform is not supported by cufile\n", + " cuFile initialization failed\n", + "The found Center of Rotation is 79.5\n" + ] + } + ], + "source": [ + "from httomolibgpu.recon.rotation import find_center_pc\n", + "\n", + "print(\"Finding the Center of Rotation for the reconstruction\")\n", + "cor = find_center_pc(proj1=data_normalised[0, :, :], proj2=data_normalised[179, :, :])\n", + "print(\"The found Center of Rotation is {}\".format(cor))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using CGLS\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using CGLS\")\n", + "\n", + "from httomolibgpu.recon.algorithm import CGLS\n", + "\n", + "angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0])\n", + "\n", + "reconCGLS = CGLS(data_normalised, angles=angles, center=cor, iterations=20)\n", + "\n", + "reconCGLS_np = reconCGLS.get()\n", + "\n", + "sliceSel = 64\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(reconCGLS_np[sliceSel, :, :])\n", + "plt.title(\"Recon coronal view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(reconCGLS_np[:, sliceSel, :])\n", + "plt.title(\"Axial view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(reconCGLS_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + 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literal notranslate"><span class="pre">httomolibgpu.prep.stripe</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="../../api/httomolibgpu.recon.algorithm.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.algorithm</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="../../api/httomolibgpu.recon.rotation.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.rotation</span></code></a></li> +</ul> +</li> +<li class="toctree-l1"><a class="reference internal" href="../../bibliography/biblio.html">Bibliography</a></li> +</ul> +<p aria-level="2" class="caption" role="heading"><span class="caption-text">Examples</span></p> +<ul class="nav bd-sidenav"> +<li class="toctree-l1"><a class="reference internal" href="../../examples/pipeline1_FBP.html">Example 1 (FBP and Fourier)</a></li> +<li class="toctree-l1"><a class="reference internal" href="../../examples/pipeline2_iterative.html">Example 2 (Iterative Rec)</a></li> +<li class="toctree-l1"><a class="reference internal" href="../../examples/Cor_largesino.html">Example 4 (real data)</a></li> +<li class="toctree-l1"><a class="reference internal" href="../../examples/DistortionCorr.html">Example 3 (Distortion corr)</a></li> +</ul> + + </div> +</nav></div> + </div> + + + <div class="sidebar-primary-items__end sidebar-primary__section"> + </div> + + <div id="rtd-footer-container"></div> + + + </div> + + <main id="main-content" class="bd-main"> + + + +<div class="sbt-scroll-pixel-helper"></div> + + <div class="bd-content"> + <div class="bd-article-container"> + + <div class="bd-header-article"> +<div class="header-article-items header-article__inner"> + + <div class="header-article-items__start"> + + <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" 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+</script> + +<script> +document.write(` + <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip"> + <i class="fa-solid fa-magnifying-glass"></i> + </button> +`); +</script> + +</div></div> + + </div> + +</div> +</div> + + + +<div id="jb-print-docs-body" class="onlyprint"> + <h1></h1> + <!-- Table of contents --> + <div id="print-main-content"> + <div id="jb-print-toc"> + + </div> + </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <h1>Source code for httomolibgpu.cuda_kernels</h1><div class="highlight"><pre> +<span></span><span class="kn">import</span> <span class="nn">os</span> +<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span> + +<span class="kn">from</span> <span class="nn">httomolibgpu</span> <span class="kn">import</span> <span class="n">cupywrapper</span> + +<span class="n">cp</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cp</span> + + +<div class="viewcode-block" id="load_cuda_module"><a class="viewcode-back" href="../../api/httomolibgpu.cuda_kernels.html#httomolibgpu.cuda_kernels.load_cuda_module">[docs]</a><span class="k">def</span> <span class="nf">load_cuda_module</span><span class="p">(</span> + <span class="n">file</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> + <span class="n">name_expressions</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">options</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="o">...</span><span class="p">]</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(),</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">RawModule</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;Load a CUDA module file, i.e. a .cu file, from the file system,</span> +<span class="sd"> compile it, and return is as a CuPy RawModule for further</span> +<span class="sd"> processing.</span> +<span class="sd"> &quot;&quot;&quot;</span> + + <span class="nb">dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">dirname</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="vm">__file__</span><span class="p">))</span> + <span class="n">file</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="nb">dir</span><span class="p">,</span> <span class="n">file</span> <span class="o">+</span> <span class="s2">&quot;.cu&quot;</span><span class="p">)</span> + <span class="c1"># insert a preprocessor line directive to assist compiler errors (so line numbers show correctly in output)</span> + <span class="n">escaped</span> <span class="o">=</span> <span class="n">file</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\\</span><span class="s2">&quot;</span><span class="p">,</span> <span class="s2">&quot;</span><span class="se">\\\\</span><span class="s2">&quot;</span><span class="p">)</span> + <span class="n">code</span> <span class="o">=</span> <span class="s1">&#39;#line 1 &quot;</span><span class="si">{}</span><span class="s1">&quot;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">escaped</span><span class="p">)</span> + <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">file</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span> + <span class="n">code</span> <span class="o">+=</span> <span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">()</span> + + <span class="k">return</span> <span class="n">cp</span><span class="o">.</span><span class="n">RawModule</span><span class="p">(</span> + <span class="n">options</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-std=c++11&quot;</span><span class="p">,</span> <span class="o">*</span><span class="n">options</span><span class="p">),</span> <span class="n">code</span><span class="o">=</span><span class="n">code</span><span class="p">,</span> <span class="n">name_expressions</span><span class="o">=</span><span class="n">name_expressions</span> + <span class="p">)</span></div> +</pre></div> + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> +</div></div> + +</div> + + </footer> + + </div> + + + + + </div> + <footer class="bd-footer-content"> + +<div class="bd-footer-content__inner container"> + + <div class="footer-item"> + + </div> + + <div class="footer-item"> + + <p class="copyright"> + + © Copyright 2024, Diamond Light Source. + <br/> + + </p> + + </div> + + <div 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+<span class="c1">#</span> +<span class="c1"># Licensed under the Apache License, Version 2.0 (the &quot;License&quot;);</span> +<span class="c1"># you may not use this file except in compliance with the License.</span> +<span class="c1"># You may obtain a copy of the License at</span> +<span class="c1">#</span> +<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> +<span class="c1">#</span> +<span class="c1"># Unless required by applicable law or agreed to in writing, software</span> +<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span> +<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> +<span class="c1"># See the License for the specific language governing permissions and</span> +<span class="c1"># limitations under the License.</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Created By : Tomography Team at DLS &lt;scientificsoftware@diamond.ac.uk&gt;</span> +<span class="c1"># Created Date: 21/October/2022</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="sd">&quot;&quot;&quot; Module for data correction. For more detailed information see :ref:`data_correction_module`.</span> + +<span class="sd">&quot;&quot;&quot;</span> + +<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> +<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span> + +<span class="kn">from</span> <span class="nn">httomolibgpu</span> <span class="kn">import</span> <span class="n">cupywrapper</span> + +<span class="n">cp</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cp</span> +<span class="n">cupy_run</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cupy_run</span> + +<span class="kn">from</span> <span class="nn">numpy</span> <span class="kn">import</span> <span class="n">float32</span> +<span class="kn">from</span> <span class="nn">unittest.mock</span> <span class="kn">import</span> <span class="n">Mock</span> + +<span class="k">if</span> <span class="n">cupy_run</span><span class="p">:</span> + <span class="kn">from</span> <span class="nn">httomolibgpu.cuda_kernels</span> <span class="kn">import</span> <span class="n">load_cuda_module</span> +<span class="k">else</span><span class="p">:</span> + <span class="n">load_cuda_module</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + + +<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span> + <span class="s2">&quot;median_filter&quot;</span><span class="p">,</span> + <span class="s2">&quot;remove_outlier&quot;</span><span class="p">,</span> +<span class="p">]</span> + + +<div class="viewcode-block" id="median_filter"><a class="viewcode-back" href="../../../api/httomolibgpu.misc.corr.html#httomolibgpu.misc.corr.median_filter">[docs]</a><span class="k">def</span> <span class="nf">median_filter</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">kernel_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">3</span><span class="p">,</span> + <span class="n">dif</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.0</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Applies 3D median filter to a 3D CuPy array. For more detailed information, see :ref:`method_median_filter`.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> Input CuPy 3D array either float32 or uint16 data type.</span> +<span class="sd"> kernel_size : int, optional</span> +<span class="sd"> The size of the filter&#39;s kernel (a diameter).</span> +<span class="sd"> dif : float, optional</span> +<span class="sd"> Expected difference value between outlier value and the</span> +<span class="sd"> median value of the array, leave equal to 0 for classical median.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> ndarray</span> +<span class="sd"> Median filtered 3D CuPy array either float32 or uint16 data type.</span> + +<span class="sd"> Raises</span> +<span class="sd"> ------</span> +<span class="sd"> ValueError</span> +<span class="sd"> If the input array is not three dimensional.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">input_type</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">dtype</span> + + <span class="k">if</span> <span class="n">input_type</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">&quot;float32&quot;</span><span class="p">,</span> <span class="s2">&quot;uint16&quot;</span><span class="p">]:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;The input data should be either float32 or uint16 data type&quot;</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">3</span><span class="p">:</span> + <span class="k">if</span> <span class="mi">0</span> <span class="ow">in</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;The length of one of dimensions is equal to zero&quot;</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;The input array must be a 3D array&quot;</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">kernel_size</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">7</span><span class="p">,</span> <span class="mi">9</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">13</span><span class="p">]:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Please select a correct kernel size: 3, 5, 7, 9, 11, 13&quot;</span><span class="p">)</span> + + <span class="n">dz</span><span class="p">,</span> <span class="n">dy</span><span class="p">,</span> <span class="n">dx</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span> + <span class="n">output</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="s2">&quot;C&quot;</span><span class="p">)</span> + + <span class="c1"># 3d median or dezinger</span> + <span class="n">kernel_args</span> <span class="o">=</span> <span class="s2">&quot;median_general_kernel3d&lt;</span><span class="si">{0}</span><span class="s2">, </span><span class="si">{1}</span><span class="s2">&gt;&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span> + <span class="s2">&quot;float&quot;</span> <span class="k">if</span> <span class="n">input_type</span> <span class="o">==</span> <span class="s2">&quot;float32&quot;</span> <span class="k">else</span> <span class="s2">&quot;unsigned short&quot;</span><span class="p">,</span> <span class="n">kernel_size</span> + <span class="p">)</span> + <span class="n">block_x</span> <span class="o">=</span> <span class="mi">128</span> + <span class="c1"># setting grid/block parameters</span> + <span class="n">block_dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">block_x</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> + <span class="n">grid_x</span> <span class="o">=</span> <span class="p">(</span><span class="n">dx</span> <span class="o">+</span> <span class="n">block_x</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="n">block_x</span> + <span class="n">grid_y</span> <span class="o">=</span> <span class="n">dy</span> + <span class="n">grid_z</span> <span class="o">=</span> <span class="n">dz</span> + <span class="n">grid_dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">grid_x</span><span class="p">,</span> <span class="n">grid_y</span><span class="p">,</span> <span class="n">grid_z</span><span class="p">)</span> + <span class="n">params</span> <span class="o">=</span> <span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">output</span><span class="p">,</span> <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">dif</span><span class="p">),</span> <span class="n">dz</span><span class="p">,</span> <span class="n">dy</span><span class="p">,</span> <span class="n">dx</span><span class="p">)</span> + + <span class="n">median_module</span> <span class="o">=</span> <span class="n">load_cuda_module</span><span class="p">(</span><span class="s2">&quot;median_kernel&quot;</span><span class="p">,</span> <span class="n">name_expressions</span><span class="o">=</span><span class="p">[</span><span class="n">kernel_args</span><span class="p">])</span> + <span class="n">median_filt</span> <span class="o">=</span> <span class="n">median_module</span><span class="o">.</span><span class="n">get_function</span><span class="p">(</span><span class="n">kernel_args</span><span class="p">)</span> + + <span class="n">median_filt</span><span class="p">(</span><span class="n">grid_dims</span><span class="p">,</span> <span class="n">block_dims</span><span class="p">,</span> <span class="n">params</span><span class="p">)</span> + + <span class="k">return</span> <span class="n">output</span></div> + + +<div class="viewcode-block" id="remove_outlier"><a class="viewcode-back" href="../../../api/httomolibgpu.misc.corr.html#httomolibgpu.misc.corr.remove_outlier">[docs]</a><span class="k">def</span> <span class="nf">remove_outlier</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">3</span><span class="p">,</span> <span class="n">dif</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.1</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;Selectively applies 3D median filter to a 3D CuPy array to remove outliers. Also called a dezinger.</span> +<span class="sd"> For more detailed information, see :ref:`method_outlier_removal`.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> Input CuPy 3D array either float32 or uint16 data type.</span> +<span class="sd"> kernel_size : int, optional</span> +<span class="sd"> The size of the filter&#39;s kernel (a diameter).</span> +<span class="sd"> dif : float, optional</span> +<span class="sd"> Expected difference value between outlier value and the</span> +<span class="sd"> median value of the array.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> ndarray</span> +<span class="sd"> Dezingered filtered 3D CuPy array either float32 or uint16 data type.</span> + +<span class="sd"> Raises</span> +<span class="sd"> ------</span> +<span class="sd"> ValueError</span> +<span class="sd"> Threshold value (dif) must be positive and nonzero.</span> +<span class="sd"> &quot;&quot;&quot;</span> + + <span class="k">if</span> <span class="n">dif</span> <span class="o">&lt;=</span> <span class="mf">0.0</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Threshold value (dif) must be positive and nonzero.&quot;</span><span class="p">)</span> + + <span class="k">return</span> <span class="n">median_filter</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">kernel_size</span><span class="p">,</span> <span class="n">dif</span><span class="p">)</span></div> +</pre></div> + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> +</div></div> + +</div> + + </footer> + + </div> + + + + + </div> + <footer 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class="bd-article" role="main"> + + <h1>Source code for httomolibgpu.misc.morph</h1><div class="highlight"><pre> +<span></span><span class="ch">#!/usr/bin/env python3</span> +<span class="c1"># -*- coding: utf-8 -*-</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Copyright 2023 Diamond Light Source Ltd.</span> +<span class="c1">#</span> +<span class="c1"># Licensed under the Apache License, Version 2.0 (the &quot;License&quot;);</span> +<span class="c1"># you may not use this file except in compliance with the License.</span> +<span class="c1"># You may obtain a copy of the License at</span> +<span class="c1">#</span> +<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> +<span class="c1">#</span> +<span class="c1"># Unless required by applicable law or agreed to in writing, software</span> +<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span> +<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> +<span class="c1"># See the License for the specific language governing permissions and</span> +<span class="c1"># limitations under the License.</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Created By : Tomography Team at DLS &lt;scientificsoftware@diamond.ac.uk&gt;</span> +<span class="c1"># Created Date: 23 March 2023</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="sd">&quot;&quot;&quot;Module for data type morphing functions&quot;&quot;&quot;</span> + +<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> +<span class="kn">from</span> <span class="nn">httomolibgpu</span> <span class="kn">import</span> <span class="n">cupywrapper</span> + +<span class="n">cp</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cp</span> +<span class="n">cupy_run</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cupy_run</span> + +<span class="kn">from</span> <span class="nn">unittest.mock</span> <span class="kn">import</span> <span class="n">Mock</span> + +<span class="k">if</span> <span class="n">cupy_run</span><span class="p">:</span> + <span class="kn">from</span> <span class="nn">cupyx.scipy.interpolate</span> <span class="kn">import</span> <span class="n">interpn</span> +<span class="k">else</span><span class="p">:</span> + <span class="n">interpn</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + +<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Literal</span> + +<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span> + <span class="s2">&quot;sino_360_to_180&quot;</span><span class="p">,</span> + <span class="s2">&quot;data_resampler&quot;</span><span class="p">,</span> +<span class="p">]</span> + + +<div class="viewcode-block" id="sino_360_to_180"><a class="viewcode-back" href="../../../api/httomolibgpu.misc.morph.html#httomolibgpu.misc.morph.sino_360_to_180">[docs]</a><span class="k">def</span> <span class="nf">sino_360_to_180</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">overlap</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">rotation</span><span class="p">:</span> <span class="n">Literal</span><span class="p">[</span><span class="s2">&quot;left&quot;</span><span class="p">,</span> <span class="s2">&quot;right&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s2">&quot;left&quot;</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Converts 0-360 degrees sinogram to a 0-180 sinogram.</span> +<span class="sd"> If the number of projections in the input data is odd, the last projection</span> +<span class="sd"> will be discarded. See :cite:`vo2021data`.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> Input 3D data.</span> +<span class="sd"> overlap : scalar, optional</span> +<span class="sd"> Overlapping number of pixels.</span> +<span class="sd"> rotation : string, optional</span> +<span class="sd"> &#39;left&#39; if rotation center is close to the left of the</span> +<span class="sd"> field-of-view, &#39;right&#39; otherwise.</span> +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cp.ndarray</span> +<span class="sd"> Output 3D data.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">!=</span> <span class="mi">3</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;only 3D data is supported&quot;</span><span class="p">)</span> + + <span class="n">dx</span><span class="p">,</span> <span class="n">dy</span><span class="p">,</span> <span class="n">dz</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span> + + <span class="n">overlap</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">overlap</span><span class="p">))</span> + <span class="k">if</span> <span class="n">overlap</span> <span class="o">&gt;=</span> <span class="n">dz</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;overlap must be less than data.shape[2]&quot;</span><span class="p">)</span> + <span class="k">if</span> <span class="n">overlap</span> <span class="o">&lt;</span> <span class="mi">0</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;only positive overlaps are allowed.&quot;</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">rotation</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">&quot;left&quot;</span><span class="p">,</span> <span class="s2">&quot;right&quot;</span><span class="p">]:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">&#39;rotation parameter must be either &quot;left&quot; or &quot;right&quot;&#39;</span><span class="p">)</span> + + <span class="n">n</span> <span class="o">=</span> <span class="n">dx</span> <span class="o">//</span> <span class="mi">2</span> + + <span class="n">out</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="n">n</span><span class="p">,</span> <span class="n">dy</span><span class="p">,</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">dz</span> <span class="o">-</span> <span class="n">overlap</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">rotation</span> <span class="o">==</span> <span class="s2">&quot;left&quot;</span><span class="p">:</span> + <span class="n">weights</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">,</span> <span class="n">overlap</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">out</span><span class="p">[:,</span> <span class="p">:,</span> <span class="o">-</span><span class="n">dz</span> <span class="o">+</span> <span class="n">overlap</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:</span><span class="n">n</span><span class="p">,</span> <span class="p">:,</span> <span class="n">overlap</span><span class="p">:]</span> + <span class="n">out</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:</span> <span class="n">dz</span> <span class="o">-</span> <span class="n">overlap</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">n</span> <span class="p">:</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">n</span><span class="p">,</span> <span class="p">:,</span> <span class="n">overlap</span><span class="p">:][:,</span> <span class="p">:,</span> <span class="p">::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> + <span class="n">out</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">dz</span> <span class="o">-</span> <span class="n">overlap</span> <span class="p">:</span> <span class="n">dz</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span> + <span class="n">weights</span> <span class="o">*</span> <span class="n">data</span><span class="p">[:</span><span class="n">n</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:</span><span class="n">overlap</span><span class="p">]</span> + <span class="o">+</span> <span class="p">(</span><span class="n">weights</span> <span class="o">*</span> <span class="n">data</span><span class="p">[</span><span class="n">n</span> <span class="p">:</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">n</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:</span><span class="n">overlap</span><span class="p">])[:,</span> <span class="p">:,</span> <span class="p">::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> + <span class="p">)</span> + <span class="k">if</span> <span class="n">rotation</span> <span class="o">==</span> <span class="s2">&quot;right&quot;</span><span class="p">:</span> + <span class="n">weights</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">overlap</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">out</span><span class="p">[:,</span> <span class="p">:,</span> <span class="p">:</span> <span class="n">dz</span> <span class="o">-</span> <span class="n">overlap</span><span class="p">]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:</span><span class="n">n</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:</span><span class="o">-</span><span class="n">overlap</span><span class="p">]</span> + <span class="n">out</span><span class="p">[:,</span> <span class="p">:,</span> <span class="o">-</span><span class="n">dz</span> <span class="o">+</span> <span class="n">overlap</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">n</span> <span class="p">:</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">n</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:</span><span class="o">-</span><span class="n">overlap</span><span class="p">][:,</span> <span class="p">:,</span> <span class="p">::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> + <span class="n">out</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">dz</span> <span class="o">-</span> <span class="n">overlap</span> <span class="p">:</span> <span class="n">dz</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span> + <span class="n">weights</span> <span class="o">*</span> <span class="n">data</span><span class="p">[:</span><span class="n">n</span><span class="p">,</span> <span class="p">:,</span> <span class="o">-</span><span class="n">overlap</span><span class="p">:]</span> + <span class="o">+</span> <span class="p">(</span><span class="n">weights</span> <span class="o">*</span> <span class="n">data</span><span class="p">[</span><span class="n">n</span> <span class="p">:</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">n</span><span class="p">,</span> <span class="p">:,</span> <span class="o">-</span><span class="n">overlap</span><span class="p">:])[:,</span> <span class="p">:,</span> <span class="p">::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> + <span class="p">)</span> + + <span class="k">return</span> <span class="n">out</span></div> + + +<div class="viewcode-block" id="data_resampler"><a class="viewcode-back" href="../../../api/httomolibgpu.misc.morph.html#httomolibgpu.misc.morph.data_resampler">[docs]</a><span class="k">def</span> <span class="nf">data_resampler</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">newshape</span><span class="p">:</span> <span class="nb">list</span><span class="p">,</span> <span class="n">axis</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> <span class="n">interpolation</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;linear&quot;</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;Down/Up-resampler of the input data implemented through interpn function.</span> +<span class="sd"> Please note that the method will leave the specified axis</span> +<span class="sd"> dimension unchanged, e.g. (128,128,128) -&gt; (128,256,256) for axis = 0 and</span> +<span class="sd"> newshape = [256,256].</span> + +<span class="sd"> Args:</span> +<span class="sd"> data (cp.ndarray): 3d cupy array.</span> +<span class="sd"> newshape (list): 2d list that defines the 2D slice shape of new shape data.</span> +<span class="sd"> axis (int, optional): Axis along which the scaling is applied. Defaults to 1.</span> +<span class="sd"> interpolation (str, optional): Selection of interpolation method. Defaults to &#39;linear&#39;.</span> + +<span class="sd"> Raises:</span> +<span class="sd"> ValueError: When data is not 3D</span> + +<span class="sd"> Returns:</span> +<span class="sd"> cp.ndarray: Up/Down-scaled 3D cupy array</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">!=</span> <span class="mi">3</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;only 3D data is supported&quot;</span><span class="p">)</span> + + <span class="n">N</span><span class="p">,</span> <span class="n">M</span><span class="p">,</span> <span class="n">Z</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">shape</span><span class="p">(</span><span class="n">data</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">axis</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span> + <span class="n">xaxis</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">M</span><span class="p">)</span> <span class="o">-</span> <span class="n">M</span> <span class="o">/</span> <span class="mi">2</span> + <span class="n">yaxis</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">Z</span><span class="p">)</span> <span class="o">-</span> <span class="n">Z</span> <span class="o">/</span> <span class="mi">2</span> + <span class="n">step_x</span> <span class="o">=</span> <span class="n">M</span> <span class="o">/</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">step_y</span> <span class="o">=</span> <span class="n">Z</span> <span class="o">/</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> + <span class="n">scaled_data</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="n">N</span><span class="p">,</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="k">elif</span> <span class="n">axis</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span> + <span class="n">xaxis</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">N</span><span class="p">)</span> <span class="o">-</span> <span class="n">N</span> <span class="o">/</span> <span class="mi">2</span> + <span class="n">yaxis</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">Z</span><span class="p">)</span> <span class="o">-</span> <span class="n">Z</span> <span class="o">/</span> <span class="mi">2</span> + <span class="n">step_x</span> <span class="o">=</span> <span class="n">N</span> <span class="o">/</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">step_y</span> <span class="o">=</span> <span class="n">Z</span> <span class="o">/</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> + <span class="n">scaled_data</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">M</span><span class="p">,</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="k">elif</span> <span class="n">axis</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span> + <span class="n">xaxis</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">N</span><span class="p">)</span> <span class="o">-</span> <span class="n">N</span> <span class="o">/</span> <span class="mi">2</span> + <span class="n">yaxis</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">M</span><span class="p">)</span> <span class="o">-</span> <span class="n">M</span> <span class="o">/</span> <span class="mi">2</span> + <span class="n">step_x</span> <span class="o">=</span> <span class="n">N</span> <span class="o">/</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">step_y</span> <span class="o">=</span> <span class="n">M</span> <span class="o">/</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> + <span class="n">scaled_data</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">Z</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Only 0,1,2 values for axes are supported&quot;</span><span class="p">)</span> + + <span class="n">points</span> <span class="o">=</span> <span class="p">(</span><span class="n">xaxis</span><span class="p">,</span> <span class="n">yaxis</span><span class="p">)</span> + + <span class="n">scale_x</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">/</span> <span class="n">step_x</span> + <span class="n">scale_y</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">/</span> <span class="n">step_y</span> + + <span class="n">y1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span> + <span class="o">-</span><span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">/</span> <span class="n">scale_x</span><span class="p">,</span> + <span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">/</span> <span class="n">scale_x</span> <span class="o">-</span> <span class="n">step_x</span><span class="p">,</span> + <span class="n">num</span><span class="o">=</span><span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> + <span class="n">endpoint</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> + <span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">x1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span> + <span class="o">-</span><span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">/</span> <span class="n">scale_y</span><span class="p">,</span> + <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">/</span> <span class="n">scale_y</span> <span class="o">-</span> <span class="n">step_y</span><span class="p">,</span> + <span class="n">num</span><span class="o">=</span><span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> + <span class="n">endpoint</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> + <span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + + <span class="n">xi_mesh</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span> <span class="n">y1</span><span class="p">)</span> + <span class="n">xi</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">xi</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">xi_mesh</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> + <span class="n">xi</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">xi_mesh</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">xi_size</span> <span class="o">=</span> <span class="n">xi</span><span class="o">.</span><span class="n">size</span> + <span class="n">xi</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">rollaxis</span><span class="p">(</span><span class="n">xi</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span> + <span class="n">xi</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">xi</span><span class="p">,</span> <span class="p">[</span><span class="n">xi_size</span> <span class="o">//</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span> + <span class="n">xi</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">xi</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="s2">&quot;C&quot;</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">axis</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span> + <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">N</span><span class="p">):</span> + <span class="n">res</span> <span class="o">=</span> <span class="n">interpn</span><span class="p">(</span> + <span class="n">points</span><span class="p">,</span> + <span class="n">data</span><span class="p">[</span><span class="n">j</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:],</span> + <span class="n">xi</span><span class="p">,</span> + <span class="n">method</span><span class="o">=</span><span class="n">interpolation</span><span class="p">,</span> + <span class="n">bounds_error</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> + <span class="n">fill_value</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">scaled_data</span><span class="p">[</span><span class="n">j</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span> + <span class="n">res</span><span class="p">,</span> <span class="p">[</span><span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]],</span> <span class="n">order</span><span class="o">=</span><span class="s2">&quot;C&quot;</span> + <span class="p">)</span> + <span class="k">elif</span> <span class="n">axis</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span> + <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">M</span><span class="p">):</span> + <span class="n">res</span> <span class="o">=</span> <span class="n">interpn</span><span class="p">(</span> + <span class="n">points</span><span class="p">,</span> + <span class="n">data</span><span class="p">[:,</span> <span class="n">j</span><span class="p">,</span> <span class="p">:],</span> + <span class="n">xi</span><span class="p">,</span> + <span class="n">method</span><span class="o">=</span><span class="n">interpolation</span><span class="p">,</span> + <span class="n">bounds_error</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> + <span class="n">fill_value</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">scaled_data</span><span class="p">[:,</span> <span class="n">j</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span> + <span class="n">res</span><span class="p">,</span> <span class="p">[</span><span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]],</span> <span class="n">order</span><span class="o">=</span><span class="s2">&quot;C&quot;</span> + <span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">Z</span><span class="p">):</span> + <span class="n">res</span> <span class="o">=</span> <span class="n">interpn</span><span class="p">(</span> + <span class="n">points</span><span class="p">,</span> + <span class="n">data</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">j</span><span class="p">],</span> + <span class="n">xi</span><span class="p">,</span> + <span class="n">method</span><span class="o">=</span><span class="n">interpolation</span><span class="p">,</span> + <span class="n">bounds_error</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> + <span class="n">fill_value</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">scaled_data</span><span class="p">[:,</span> <span class="p">:,</span> <span class="n">j</span><span class="p">]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span> + <span class="n">res</span><span class="p">,</span> <span class="p">[</span><span class="n">newshape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">newshape</span><span class="p">[</span><span class="mi">1</span><span class="p">]],</span> <span class="n">order</span><span class="o">=</span><span class="s2">&quot;C&quot;</span> + <span class="p">)</span> + + <span class="k">return</span> <span class="n">scaled_data</span></div> +</pre></div> + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> +</div></div> + +</div> + + </footer> + + </div> + + + + + </div> + <footer class="bd-footer-content"> + +<div class="bd-footer-content__inner container"> + + <div class="footer-item"> + + </div> + + <div class="footer-item"> + + <p class="copyright"> + + © Copyright 2024, Diamond Light Source. + <br/> + + </p> + + </div> + + <div class="footer-item"> + <p class="last-updated"> + Last updated on Sep 20, 2024. + <br/> +</p> + </div> + + <div class="footer-item"> + + </div> + +</div> + </footer> + + + </main> + </div> + </div> + + <!-- Scripts loaded after <body> so the DOM is not blocked --> + <script 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class="c1"># you may not use this file except in compliance with the License.</span> +<span class="c1"># You may obtain a copy of the License at</span> +<span class="c1">#</span> +<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> +<span class="c1">#</span> +<span class="c1"># Unless required by applicable law or agreed to in writing, software</span> +<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span> +<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either ecpress or implied.</span> +<span class="c1"># See the License for the specific language governing permissions and</span> +<span class="c1"># limitations under the License.</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Created By : Tomography Team at DLS &lt;scientificsoftware@diamond.ac.uk&gt;</span> +<span class="c1"># Created Date: 1 March 2024</span> +<span class="c1"># ---------------------------------------------------------------------------</span> + +<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> +<span class="kn">from</span> <span class="nn">httomolibgpu</span> <span class="kn">import</span> <span class="n">cupywrapper</span> + +<span class="n">cp</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cp</span> + +<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Literal</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span> + +<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span> + <span class="s2">&quot;rescale_to_int&quot;</span><span class="p">,</span> +<span class="p">]</span> + + +<div class="viewcode-block" id="rescale_to_int"><a class="viewcode-back" href="../../../api/httomolibgpu.misc.rescale.html#httomolibgpu.misc.rescale.rescale_to_int">[docs]</a><span class="k">def</span> <span class="nf">rescale_to_int</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">perc_range_min</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.0</span><span class="p">,</span> + <span class="n">perc_range_max</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">100.0</span><span class="p">,</span> + <span class="n">bits</span><span class="p">:</span> <span class="n">Literal</span><span class="p">[</span><span class="mi">8</span><span class="p">,</span> <span class="mi">16</span><span class="p">,</span> <span class="mi">32</span><span class="p">]</span> <span class="o">=</span> <span class="mi">8</span><span class="p">,</span> + <span class="n">glob_stats</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> +<span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Rescales the data and converts it fit into the range of an unsigned integer type</span> +<span class="sd"> with the given number of bits.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> Required input data array, on GPU</span> +<span class="sd"> perc_range_min: float, optional</span> +<span class="sd"> The lower cutoff point in the input data, in percent of the data range (defaults to 0).</span> +<span class="sd"> The lower bound is computed as min + perc_range_min/100*(max-min)</span> +<span class="sd"> perc_range_max: float, optional</span> +<span class="sd"> The upper cutoff point in the input data, in percent of the data range (defaults to 100).</span> +<span class="sd"> The upper bound is computed as min + perc_range_max/100*(max-min)</span> +<span class="sd"> bits: Literal[8, 16, 32], optional</span> +<span class="sd"> The number of bits in the output integer range (defaults to 8).</span> +<span class="sd"> Allowed values are:</span> +<span class="sd"> - 8 -&gt; uint8</span> +<span class="sd"> - 16 -&gt; uint16</span> +<span class="sd"> - 32 -&gt; uint32</span> +<span class="sd"> glob_stats: tuple, optional</span> +<span class="sd"> Global statistics of the full dataset (beyond the data passed into this call).</span> +<span class="sd"> It&#39;s a tuple with (min, max, sum, num_items). If not given, the min/max is</span> +<span class="sd"> computed from the given data.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cp.ndarray</span> +<span class="sd"> The original data, clipped to the range specified with the perc_range_min and</span> +<span class="sd"> perc_range_max, and scaled to the full range of the output integer type</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="k">if</span> <span class="n">bits</span> <span class="o">==</span> <span class="mi">8</span><span class="p">:</span> + <span class="n">output_dtype</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">type</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">],</span> <span class="nb">type</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">uint16</span><span class="p">],</span> <span class="nb">type</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">uint32</span><span class="p">]]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">uint8</span> + <span class="k">elif</span> <span class="n">bits</span> <span class="o">==</span> <span class="mi">16</span><span class="p">:</span> + <span class="n">output_dtype</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">uint16</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">output_dtype</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">uint32</span> + + <span class="c1"># get the min and max integer values of the output type</span> + <span class="n">output_min</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">iinfo</span><span class="p">(</span><span class="n">output_dtype</span><span class="p">)</span><span class="o">.</span><span class="n">min</span> + <span class="n">output_max</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">iinfo</span><span class="p">(</span><span class="n">output_dtype</span><span class="p">)</span><span class="o">.</span><span class="n">max</span> + + <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">glob_stats</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span> + <span class="n">min_value</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">))</span> + <span class="n">max_value</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">data</span><span class="p">))</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">min_value</span> <span class="o">=</span> <span class="n">glob_stats</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">max_value</span> <span class="o">=</span> <span class="n">glob_stats</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> + + <span class="n">range_intensity</span> <span class="o">=</span> <span class="n">max_value</span> <span class="o">-</span> <span class="n">min_value</span> + <span class="n">input_min</span> <span class="o">=</span> <span class="p">(</span><span class="n">perc_range_min</span> <span class="o">*</span> <span class="p">(</span><span class="n">range_intensity</span><span class="p">)</span> <span class="o">/</span> <span class="mi">100</span><span class="p">)</span> <span class="o">+</span> <span class="n">min_value</span> + <span class="n">input_max</span> <span class="o">=</span> <span class="p">(</span><span class="n">perc_range_max</span> <span class="o">*</span> <span class="p">(</span><span class="n">range_intensity</span><span class="p">)</span> <span class="o">/</span> <span class="mi">100</span><span class="p">)</span> <span class="o">+</span> <span class="n">min_value</span> + + <span class="k">if</span> <span class="p">(</span><span class="n">input_max</span> <span class="o">-</span> <span class="n">input_min</span><span class="p">)</span> <span class="o">!=</span> <span class="mf">0.0</span><span class="p">:</span> + <span class="n">factor</span> <span class="o">=</span> <span class="p">(</span><span class="n">output_max</span> <span class="o">-</span> <span class="n">output_min</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">input_max</span> <span class="o">-</span> <span class="n">input_min</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">factor</span> <span class="o">=</span> <span class="mf">1.0</span> + + <span class="n">res</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">output_dtype</span><span class="p">)</span> + <span class="n">rescale_kernel</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ElementwiseKernel</span><span class="p">(</span> + <span class="s2">&quot;T x, raw T input_min, raw T input_max, raw T factor&quot;</span><span class="p">,</span> + <span class="s2">&quot;O out&quot;</span><span class="p">,</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> T x_clean = isnan(x) || isinf(x) ? T(0) : x;</span> +<span class="sd"> T x_clipped = x_clean &lt; input_min ? input_min : (x_clean &gt; input_max ? input_max : x_clean);</span> +<span class="sd"> T x_rebased = x_clipped - input_min;</span> +<span class="sd"> out = O(x_rebased * factor);</span> +<span class="sd"> &quot;&quot;&quot;</span><span class="p">,</span> + <span class="s2">&quot;rescale_to_int&quot;</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">rescale_kernel</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">input_min</span><span class="p">,</span> <span class="n">input_max</span><span class="p">,</span> <span class="n">factor</span><span class="p">,</span> <span class="n">res</span><span class="p">)</span> + <span class="k">return</span> <span class="n">res</span></div> +</pre></div> + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div 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+ </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <h1>Source code for httomolibgpu.prep.alignment</h1><div class="highlight"><pre> +<span></span><span class="ch">#!/usr/bin/env python3</span> +<span class="c1"># -*- coding: utf-8 -*-</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Copyright 2022 Diamond Light Source Ltd.</span> +<span class="c1">#</span> +<span class="c1"># Licensed under the Apache License, Version 2.0 (the &quot;License&quot;);</span> +<span class="c1"># you may not use this file except in compliance with the License.</span> +<span class="c1"># You may obtain a copy of the License at</span> +<span class="c1">#</span> +<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> +<span class="c1">#</span> +<span class="c1"># Unless required by applicable law or agreed to in writing, software</span> +<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span> +<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> +<span class="c1"># See the License for the specific language governing permissions and</span> +<span class="c1"># limitations under the License.</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Created By : Tomography Team at DLS &lt;scientificsoftware@diamond.ac.uk&gt;</span> +<span class="c1"># Created Date: 01 November 2022</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="sd">&quot;&quot;&quot;Modules for data correction&quot;&quot;&quot;</span> + +<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> +<span class="kn">from</span> <span class="nn">httomolibgpu</span> <span class="kn">import</span> <span class="n">cupywrapper</span> + +<span class="n">cp</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cp</span> +<span class="n">cupy_run</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cupy_run</span> + +<span class="kn">from</span> <span class="nn">unittest.mock</span> <span class="kn">import</span> <span class="n">Mock</span> + +<span class="k">if</span> <span class="n">cupy_run</span><span class="p">:</span> + <span class="kn">from</span> <span class="nn">cupyx.scipy.ndimage</span> <span class="kn">import</span> <span class="n">map_coordinates</span> +<span class="k">else</span><span class="p">:</span> + <span class="n">map_coordinates</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + +<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span> + +<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span> + <span class="s2">&quot;distortion_correction_proj_discorpy&quot;</span><span class="p">,</span> +<span class="p">]</span> + + +<span class="c1"># CuPy implementation of distortion correction from Discorpy</span> +<span class="c1"># https://github.com/DiamondLightSource/discorpy/blob/67743842b60bf5dd45b21b8460e369d4a5e94d67/discorpy/post/postprocessing.py#L111-L148</span> +<span class="c1"># (which is the same as the TomoPy version</span> +<span class="c1"># https://github.com/tomopy/tomopy/blob/c236a2969074f5fc70189fb5545f0a165924f916/source/tomopy/prep/alignment.py#L950-L981</span> +<span class="c1"># but with the additional params `order` and `mode`).</span> +<div class="viewcode-block" id="distortion_correction_proj_discorpy"><a class="viewcode-back" href="../../../api/httomolibgpu.prep.alignment.html#httomolibgpu.prep.alignment.distortion_correction_proj_discorpy">[docs]</a><span class="k">def</span> <span class="nf">distortion_correction_proj_discorpy</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">metadata_path</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> + <span class="n">preview</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]],</span> + <span class="n">order</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> + <span class="n">mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;reflect&quot;</span><span class="p">,</span> +<span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;Unwarp a stack of images using a backward model. See :cite:`vo2015radial`.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> 3D array.</span> + +<span class="sd"> metadata_path : str</span> +<span class="sd"> The path to the file containing the distortion coefficients for the</span> +<span class="sd"> data.</span> + +<span class="sd"> preview : Dict[str, List[int]]</span> +<span class="sd"> A dict containing three key-value pairs:</span> +<span class="sd"> - a list containing the `start` value of each dimension</span> +<span class="sd"> - a list containing the `stop` value of each dimension</span> +<span class="sd"> - a list containing the `step` value of each dimension</span> + +<span class="sd"> order : int, optional.</span> +<span class="sd"> The order of the spline interpolation.</span> + +<span class="sd"> mode : {&#39;reflect&#39;, &#39;grid-mirror&#39;, &#39;constant&#39;, &#39;grid-constant&#39;, &#39;nearest&#39;,</span> +<span class="sd"> &#39;mirror&#39;, &#39;grid-wrap&#39;, &#39;wrap&#39;}, optional</span> +<span class="sd"> To determine how to handle image boundaries.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cp.ndarray</span> +<span class="sd"> 3D array. Distortion-corrected array.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="c1"># Check if it&#39;s a stack of 2D images, or only a single 2D image</span> + <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span> + <span class="n">data</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> + + <span class="c1"># Get info from metadata txt file</span> + <span class="n">xcenter</span><span class="p">,</span> <span class="n">ycenter</span><span class="p">,</span> <span class="n">list_fact</span> <span class="o">=</span> <span class="n">_load_metadata_txt</span><span class="p">(</span><span class="n">metadata_path</span><span class="p">)</span> + + <span class="c1"># Use preview information to offset the x and y coords of the center of</span> + <span class="c1"># distortion</span> + <span class="n">shift</span> <span class="o">=</span> <span class="n">preview</span><span class="p">[</span><span class="s2">&quot;starts&quot;</span><span class="p">]</span> + <span class="n">step</span> <span class="o">=</span> <span class="n">preview</span><span class="p">[</span><span class="s2">&quot;steps&quot;</span><span class="p">]</span> + <span class="n">x_dim</span> <span class="o">=</span> <span class="mi">1</span> + <span class="n">y_dim</span> <span class="o">=</span> <span class="mi">0</span> + <span class="n">step_check</span> <span class="o">=</span> <span class="nb">max</span><span class="p">([</span><span class="n">step</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="p">[</span><span class="n">x_dim</span><span class="p">,</span> <span class="n">y_dim</span><span class="p">]])</span> <span class="o">&gt;</span> <span class="mi">1</span> + <span class="k">if</span> <span class="n">step_check</span><span class="p">:</span> + <span class="n">msg</span> <span class="o">=</span> <span class="p">(</span> + <span class="s2">&quot;</span><span class="se">\n</span><span class="s2">***********************************************</span><span class="se">\n</span><span class="s2">&quot;</span> + <span class="s2">&quot;!!! ERROR !!! -&gt; Method doesn&#39;t work with the step in&quot;</span> + <span class="s2">&quot; the preview larger than 1 </span><span class="se">\n</span><span class="s2">&quot;</span> + <span class="s2">&quot;***********************************************</span><span class="se">\n</span><span class="s2">&quot;</span> + <span class="p">)</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> + + <span class="n">x_offset</span> <span class="o">=</span> <span class="n">shift</span><span class="p">[</span><span class="n">x_dim</span><span class="p">]</span> + <span class="n">y_offset</span> <span class="o">=</span> <span class="n">shift</span><span class="p">[</span><span class="n">y_dim</span><span class="p">]</span> + <span class="n">xcenter</span> <span class="o">=</span> <span class="n">xcenter</span> <span class="o">-</span> <span class="n">x_offset</span> + <span class="n">ycenter</span> <span class="o">=</span> <span class="n">ycenter</span> <span class="o">-</span> <span class="n">y_offset</span> + + <span class="n">height</span><span class="p">,</span> <span class="n">width</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">y_dim</span> <span class="o">+</span> <span class="mi">1</span><span class="p">],</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">x_dim</span> <span class="o">+</span> <span class="mi">1</span><span class="p">]</span> + <span class="n">xu_list</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">width</span><span class="p">)</span> <span class="o">-</span> <span class="n">xcenter</span> + <span class="n">yu_list</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">height</span><span class="p">)</span> <span class="o">-</span> <span class="n">ycenter</span> + <span class="n">xu_mat</span><span class="p">,</span> <span class="n">yu_mat</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="n">xu_list</span><span class="p">,</span> <span class="n">yu_list</span><span class="p">)</span> + <span class="n">ru_mat</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">xu_mat</span><span class="o">**</span><span class="mi">2</span> <span class="o">+</span> <span class="n">yu_mat</span><span class="o">**</span><span class="mi">2</span><span class="p">)</span> + <span class="n">fact_mat</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span> + <span class="n">cp</span><span class="o">.</span><span class="n">asarray</span><span class="p">([</span><span class="n">factor</span> <span class="o">*</span> <span class="n">ru_mat</span><span class="o">**</span><span class="n">i</span> <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">factor</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">list_fact</span><span class="p">)]),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span> + <span class="p">)</span> + <span class="n">xd_mat</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span> + <span class="n">cp</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">xcenter</span> <span class="o">+</span> <span class="n">fact_mat</span> <span class="o">*</span> <span class="n">xu_mat</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">width</span> <span class="o">-</span> <span class="mi">1</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span> + <span class="p">)</span> + <span class="n">yd_mat</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span> + <span class="n">cp</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">ycenter</span> <span class="o">+</span> <span class="n">fact_mat</span> <span class="o">*</span> <span class="n">yu_mat</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="n">height</span> <span class="o">-</span> <span class="mi">1</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span> + <span class="p">)</span> + <span class="n">indices</span> <span class="o">=</span> <span class="p">[</span><span class="n">cp</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">yd_mat</span><span class="p">,</span> <span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span> <span class="n">cp</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">xd_mat</span><span class="p">,</span> <span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))]</span> + <span class="n">indices</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">indices</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + + <span class="c1"># Loop over images and unwarp them</span> + <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]):</span> + <span class="n">mat</span> <span class="o">=</span> <span class="n">map_coordinates</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">indices</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="n">order</span><span class="p">,</span> <span class="n">mode</span><span class="o">=</span><span class="n">mode</span><span class="p">)</span> + <span class="n">mat</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">mat</span><span class="p">,</span> <span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">))</span> + <span class="n">data</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">mat</span> + + <span class="k">return</span> <span class="n">data</span></div> + + +<span class="k">def</span> <span class="nf">_load_metadata_txt</span><span class="p">(</span><span class="n">file_path</span><span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Load distortion coefficients from a text file.</span> +<span class="sd"> Order of the infor in the text file:</span> +<span class="sd"> xcenter</span> +<span class="sd"> ycenter</span> +<span class="sd"> factor_0</span> +<span class="sd"> factor_1</span> +<span class="sd"> factor_2</span> +<span class="sd"> ...</span> +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> file_path : str</span> +<span class="sd"> Path to the file</span> +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> tuple of float and list of floats</span> +<span class="sd"> Tuple of (xcenter, ycenter, list_fact).</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">file_path</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span> + <span class="n">x</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">()</span><span class="o">.</span><span class="n">splitlines</span><span class="p">()</span> + <span class="n">list_data</span> <span class="o">=</span> <span class="p">[]</span> + <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">x</span><span class="p">:</span> + <span class="n">list_data</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">i</span><span class="o">.</span><span class="n">split</span><span class="p">()[</span><span class="o">-</span><span class="mi">1</span><span class="p">]))</span> + <span class="n">xcenter</span> <span class="o">=</span> <span class="n">list_data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">ycenter</span> <span class="o">=</span> <span class="n">list_data</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> + <span class="n">list_fact</span> <span class="o">=</span> <span class="n">list_data</span><span class="p">[</span><span class="mi">2</span><span class="p">:]</span> + + <span class="k">return</span> <span class="n">xcenter</span><span class="p">,</span> <span class="n">ycenter</span><span class="p">,</span> <span class="n">list_fact</span> + + +<span class="c1">## %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ##</span> +</pre></div> + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> +</div></div> + +</div> + + </footer> + + </div> + + + + + </div> + <footer class="bd-footer-content"> + +<div class="bd-footer-content__inner container"> + + <div class="footer-item"> + + </div> + + <div class="footer-item"> + + <p class="copyright"> + + © Copyright 2024, Diamond Light Source. 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---------------------------------------------------------------------------</span> +<span class="c1"># Copyright 2022 Diamond Light Source Ltd.</span> +<span class="c1">#</span> +<span class="c1"># Licensed under the Apache License, Version 2.0 (the &quot;License&quot;);</span> +<span class="c1"># you may not use this file except in compliance with the License.</span> +<span class="c1"># You may obtain a copy of the License at</span> +<span class="c1">#</span> +<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> +<span class="c1">#</span> +<span class="c1"># Unless required by applicable law or agreed to in writing, software</span> +<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span> +<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> +<span class="c1"># See the License for the specific language governing permissions and</span> +<span class="c1"># limitations under the License.</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Created By : Tomography Team at DLS &lt;scientificsoftware@diamond.ac.uk&gt;</span> +<span class="c1"># Created Date: 01 November 2022</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="sd">&quot;&quot;&quot;Modules for raw projection data normalization&quot;&quot;&quot;</span> + +<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> +<span class="kn">from</span> <span class="nn">httomolibgpu</span> <span class="kn">import</span> <span class="n">cupywrapper</span> + +<span class="n">cp</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cp</span> +<span class="n">cupy_run</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cupy_run</span> + +<span class="kn">from</span> <span class="nn">unittest.mock</span> <span class="kn">import</span> <span class="n">Mock</span> + +<span class="k">if</span> <span class="n">cupy_run</span><span class="p">:</span> + <span class="kn">from</span> <span class="nn">cupy</span> <span class="kn">import</span> <span class="n">mean</span> +<span class="k">else</span><span class="p">:</span> + <span class="n">mean</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + +<span class="kn">from</span> <span class="nn">numpy</span> <span class="kn">import</span> <span class="n">float32</span> +<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Tuple</span> + +<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;normalize&quot;</span><span class="p">]</span> + + +<div class="viewcode-block" id="normalize"><a class="viewcode-back" href="../../../api/httomolibgpu.prep.normalize.html#httomolibgpu.prep.normalize.normalize">[docs]</a><span class="k">def</span> <span class="nf">normalize</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">flats</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">darks</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">cutoff</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">10.0</span><span class="p">,</span> + <span class="n">minus_log</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> + <span class="n">nonnegativity</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> + <span class="n">remove_nans</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Normalize raw projection data using the flat and dark field projections.</span> +<span class="sd"> This is a raw CUDA kernel implementation with CuPy wrappers.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> Projection data as a CuPy array.</span> +<span class="sd"> flats : cp.ndarray</span> +<span class="sd"> 3D flat field data as a CuPy array.</span> +<span class="sd"> darks : cp.ndarray</span> +<span class="sd"> 3D dark field data as a CuPy array.</span> +<span class="sd"> cutoff : float, optional</span> +<span class="sd"> Permitted maximum value for the normalised data.</span> +<span class="sd"> minus_log : bool, optional</span> +<span class="sd"> Apply negative log to the normalised data.</span> +<span class="sd"> nonnegativity : bool, optional</span> +<span class="sd"> Remove negative values in the normalised data.</span> +<span class="sd"> remove_nans : bool, optional</span> +<span class="sd"> Remove NaN and Inf values in the normalised data.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cp.ndarray</span> +<span class="sd"> Normalised 3D tomographic data as a CuPy array.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">_check_valid_input</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">flats</span><span class="p">,</span> <span class="n">darks</span><span class="p">)</span> + + <span class="n">dark0</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">darks</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">:],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">float32</span><span class="p">)</span> + <span class="n">flat0</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">flats</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">:],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">float32</span><span class="p">)</span> + <span class="n">out</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">float32</span><span class="p">)</span> + <span class="n">mean</span><span class="p">(</span><span class="n">darks</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">float32</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="n">dark0</span><span class="p">)</span> + <span class="n">mean</span><span class="p">(</span><span class="n">flats</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">float32</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="n">flat0</span><span class="p">)</span> + + <span class="n">kernel_name</span> <span class="o">=</span> <span class="s2">&quot;normalisation&quot;</span> + <span class="n">kernel</span> <span class="o">=</span> <span class="sa">r</span><span class="s2">&quot;&quot;&quot;</span> +<span class="s2"> float denom = float(flats) - float(darks);</span> +<span class="s2"> if (denom &lt; eps) {</span> +<span class="s2"> denom = eps;</span> +<span class="s2"> }</span> +<span class="s2"> float v = (float(data) - float(darks))/denom;</span> +<span class="s2"> &quot;&quot;&quot;</span> + <span class="k">if</span> <span class="n">minus_log</span><span class="p">:</span> + <span class="n">kernel</span> <span class="o">+=</span> <span class="s2">&quot;v = -log(v);</span><span class="se">\n</span><span class="s2">&quot;</span> + <span class="n">kernel_name</span> <span class="o">+=</span> <span class="s2">&quot;_mlog&quot;</span> + <span class="k">if</span> <span class="n">nonnegativity</span><span class="p">:</span> + <span class="n">kernel</span> <span class="o">+=</span> <span class="s2">&quot;if (v &lt; 0.0f) v = 0.0f;</span><span class="se">\n</span><span class="s2">&quot;</span> + <span class="n">kernel_name</span> <span class="o">+=</span> <span class="s2">&quot;_nneg&quot;</span> + <span class="k">if</span> <span class="n">remove_nans</span><span class="p">:</span> + <span class="n">kernel</span> <span class="o">+=</span> <span class="s2">&quot;if (isnan(v)) v = 0.0f;</span><span class="se">\n</span><span class="s2">&quot;</span> + <span class="n">kernel</span> <span class="o">+=</span> <span class="s2">&quot;if (isinf(v)) v = 0.0f;</span><span class="se">\n</span><span class="s2">&quot;</span> + <span class="n">kernel_name</span> <span class="o">+=</span> <span class="s2">&quot;_remnan&quot;</span> + <span class="n">kernel</span> <span class="o">+=</span> <span class="s2">&quot;if (v &gt; cutoff) v = cutoff;</span><span class="se">\n</span><span class="s2">&quot;</span> + <span class="n">kernel</span> <span class="o">+=</span> <span class="s2">&quot;if (v &lt; -cutoff) v = cutoff;</span><span class="se">\n</span><span class="s2">&quot;</span> + <span class="n">kernel</span> <span class="o">+=</span> <span class="s2">&quot;out = v;</span><span class="se">\n</span><span class="s2">&quot;</span> + + <span class="n">normalisation_kernel</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ElementwiseKernel</span><span class="p">(</span> + <span class="s2">&quot;T data, U flats, U darks, raw float32 cutoff&quot;</span><span class="p">,</span> + <span class="s2">&quot;float32 out&quot;</span><span class="p">,</span> + <span class="n">kernel</span><span class="p">,</span> + <span class="n">kernel_name</span><span class="p">,</span> + <span class="n">options</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;-std=c++11&quot;</span><span class="p">,),</span> + <span class="n">loop_prep</span><span class="o">=</span><span class="s2">&quot;constexpr float eps = 1.0e-07;&quot;</span><span class="p">,</span> + <span class="n">no_return</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> + <span class="p">)</span> + + <span class="n">normalisation_kernel</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">flat0</span><span class="p">,</span> <span class="n">dark0</span><span class="p">,</span> <span class="n">float32</span><span class="p">(</span><span class="n">cutoff</span><span class="p">),</span> <span class="n">out</span><span class="p">)</span> + + <span class="k">return</span> <span class="n">out</span></div> + + +<span class="k">def</span> <span class="nf">_check_valid_input</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">flats</span><span class="p">,</span> <span class="n">darks</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;Helper function to check the validity of inputs to normalisation functions&quot;&quot;&quot;</span> + <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">!=</span> <span class="mi">3</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Input data must be a 3D stack of projections&quot;</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">flats</span><span class="o">.</span><span class="n">ndim</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">):</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Input flats must be 2D or 3D data only&quot;</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">darks</span><span class="o">.</span><span class="n">ndim</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">):</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Input darks must be 2D or 3D data only&quot;</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">flats</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span> + <span class="n">flats</span> <span class="o">=</span> <span class="n">flats</span><span class="p">[</span><span class="n">cp</span><span class="o">.</span><span class="n">newaxis</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span> + <span class="k">if</span> <span class="n">darks</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span> + <span class="n">darks</span> <span class="o">=</span> <span class="n">darks</span><span class="p">[</span><span class="n">cp</span><span class="o">.</span><span class="n">newaxis</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:]</span> +</pre></div> + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> +</div></div> + +</div> + + </footer> + + </div> + + + + + </div> + <footer class="bd-footer-content"> + +<div class="bd-footer-content__inner 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class="highlight"><pre> +<span></span><span class="ch">#!/usr/bin/env python3</span> +<span class="c1"># -*- coding: utf-8 -*-</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Copyright 2022 Diamond Light Source Ltd.</span> +<span class="c1">#</span> +<span class="c1"># Licensed under the Apache License, Version 2.0 (the &quot;License&quot;);</span> +<span class="c1"># you may not use this file except in compliance with the License.</span> +<span class="c1"># You may obtain a copy of the License at</span> +<span class="c1">#</span> +<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> +<span class="c1">#</span> +<span class="c1"># Unless required by applicable law or agreed to in writing, software</span> +<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span> +<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> +<span class="c1"># See the License for the specific language governing permissions and</span> +<span class="c1"># limitations under the License.</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Created By : Tomography Team at DLS &lt;scientificsoftware@diamond.ac.uk&gt;</span> +<span class="c1"># Created Date: 01 November 2022</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="sd">&quot;&quot;&quot;Modules for phase retrieval and phase-contrast enhancement&quot;&quot;&quot;</span> + +<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> +<span class="kn">from</span> <span class="nn">httomolibgpu</span> <span class="kn">import</span> <span class="n">cupywrapper</span> + +<span class="n">cp</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cp</span> +<span class="n">cupy_run</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cupy_run</span> + +<span class="kn">from</span> <span class="nn">unittest.mock</span> <span class="kn">import</span> <span class="n">Mock</span> + +<span class="k">if</span> <span class="n">cupy_run</span><span class="p">:</span> + <span class="kn">from</span> <span class="nn">httomolibgpu.cuda_kernels</span> <span class="kn">import</span> <span class="n">load_cuda_module</span> + <span class="kn">from</span> <span class="nn">cupyx.scipy.fft</span> <span class="kn">import</span> <span class="n">fft2</span><span class="p">,</span> <span class="n">ifft2</span><span class="p">,</span> <span class="n">fftshift</span> +<span class="k">else</span><span class="p">:</span> + <span class="n">load_cuda_module</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">fft2</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">ifft2</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">fftshift</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + +<span class="kn">from</span> <span class="nn">numpy</span> <span class="kn">import</span> <span class="n">float32</span> +<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span> +<span class="kn">import</span> <span class="nn">math</span> + +<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span> + <span class="s2">&quot;paganin_filter_savu&quot;</span><span class="p">,</span> + <span class="s2">&quot;paganin_filter_tomopy&quot;</span><span class="p">,</span> +<span class="p">]</span> + + +<span class="c1">## %%%%%%%%%%%%%%%%%%%%%%% paganin_filter %%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ##</span> +<span class="c1">#: CuPy implementation of Paganin filter from Savu</span> +<div class="viewcode-block" id="paganin_filter_savu"><a class="viewcode-back" href="../../../api/httomolibgpu.prep.phase.html#httomolibgpu.prep.phase.paganin_filter_savu">[docs]</a><span class="k">def</span> <span class="nf">paganin_filter_savu</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">ratio</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">250.0</span><span class="p">,</span> + <span class="n">energy</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">53.0</span><span class="p">,</span> + <span class="n">distance</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0</span><span class="p">,</span> + <span class="n">resolution</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.28</span><span class="p">,</span> + <span class="n">pad_y</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">100</span><span class="p">,</span> + <span class="n">pad_x</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">100</span><span class="p">,</span> + <span class="n">pad_method</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;edge&quot;</span><span class="p">,</span> + <span class="n">increment</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.0</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Apply Paganin filter (for denoising or contrast enhancement) to</span> +<span class="sd"> projections.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> The stack of projections to filter.</span> + +<span class="sd"> ratio : float, optional</span> +<span class="sd"> Ratio of delta/beta.</span> + +<span class="sd"> energy : float, optional</span> +<span class="sd"> Beam energy in keV.</span> + +<span class="sd"> distance : float, optional</span> +<span class="sd"> Distance from sample to detector in metres.</span> + +<span class="sd"> resolution : float, optional</span> +<span class="sd"> Pixel size in microns.</span> + +<span class="sd"> pad_y : int, optional</span> +<span class="sd"> Pad the top and bottom of projections.</span> + +<span class="sd"> pad_x : int, optional</span> +<span class="sd"> Pad the left and right of projections.</span> + +<span class="sd"> pad_method : str, optional</span> +<span class="sd"> Numpy pad method to use.</span> + +<span class="sd"> increment : float, optional</span> +<span class="sd"> Increment all values by this amount before taking the log.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cp.ndarray</span> +<span class="sd"> The stack of filtered projections.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="c1"># Check the input data is valid</span> + <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">!=</span> <span class="mi">3</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span> + <span class="sa">f</span><span class="s2">&quot;Invalid number of dimensions in data: </span><span class="si">{</span><span class="n">data</span><span class="o">.</span><span class="n">ndim</span><span class="si">}</span><span class="s2">,&quot;</span> + <span class="s2">&quot; please provide a stack of 2D projections.&quot;</span> + <span class="p">)</span> + + <span class="c1"># Setup various values for the filter</span> + <span class="n">_</span><span class="p">,</span> <span class="n">height</span><span class="p">,</span> <span class="n">width</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span> + <span class="n">micron</span> <span class="o">=</span> <span class="mf">1e-6</span> + <span class="n">keV</span> <span class="o">=</span> <span class="mf">1000.0</span> + <span class="n">energy</span> <span class="o">*=</span> <span class="n">keV</span> + <span class="n">resolution</span> <span class="o">*=</span> <span class="n">micron</span> + <span class="n">wavelength</span> <span class="o">=</span> <span class="p">(</span><span class="mf">1240.0</span> <span class="o">/</span> <span class="n">energy</span><span class="p">)</span> <span class="o">*</span> <span class="mf">1e-9</span> + + <span class="n">height1</span> <span class="o">=</span> <span class="n">height</span> <span class="o">+</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">pad_y</span> + <span class="n">width1</span> <span class="o">=</span> <span class="n">width</span> <span class="o">+</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">pad_x</span> + + <span class="c1"># Define the paganin filter, taking into account the padding that will be</span> + <span class="c1"># applied to the projections (if any)</span> + + <span class="c1"># Using raw kernel her as indexing is direct and it avoids a lot of temporaries</span> + <span class="c1"># and tiny kernels</span> + <span class="n">module</span> <span class="o">=</span> <span class="n">load_cuda_module</span><span class="p">(</span><span class="s2">&quot;paganin_filter_gen&quot;</span><span class="p">)</span> + <span class="n">kernel</span> <span class="o">=</span> <span class="n">module</span><span class="o">.</span><span class="n">get_function</span><span class="p">(</span><span class="s2">&quot;paganin_filter_gen&quot;</span><span class="p">)</span> + + <span class="c1"># Apply padding to all the 2D projections</span> + <span class="c1"># Note: this takes considerable time on GPU...</span> + <span class="n">data</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">pad</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="p">((</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="p">(</span><span class="n">pad_y</span><span class="p">,</span> <span class="n">pad_y</span><span class="p">),</span> <span class="p">(</span><span class="n">pad_x</span><span class="p">,</span> <span class="n">pad_x</span><span class="p">)),</span> <span class="n">mode</span><span class="o">=</span><span class="n">pad_method</span><span class="p">)</span> + + <span class="c1"># Define array to hold result, which will not have the padding applied to it</span> + <span class="n">precond_kernel_float</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ElementwiseKernel</span><span class="p">(</span> + <span class="s2">&quot;T data&quot;</span><span class="p">,</span> + <span class="s2">&quot;T out&quot;</span><span class="p">,</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> if (isnan(data)) {</span> +<span class="sd"> out = T(0);</span> +<span class="sd"> } else if (isinf(data)) {</span> +<span class="sd"> out = data &lt; 0.0 ? -3.402823e38f : 3.402823e38f; // FLT_MAX, not available in cupy</span> +<span class="sd"> } else if (data == 0.0) {</span> +<span class="sd"> out = 1.0;</span> +<span class="sd"> } else {</span> +<span class="sd"> out = data;</span> +<span class="sd"> }</span> +<span class="sd"> &quot;&quot;&quot;</span><span class="p">,</span> + <span class="n">name</span><span class="o">=</span><span class="s2">&quot;paganin_precond_float&quot;</span><span class="p">,</span> + <span class="n">no_return</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">precond_kernel_int</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ElementwiseKernel</span><span class="p">(</span> + <span class="s2">&quot;T data&quot;</span><span class="p">,</span> + <span class="s2">&quot;T out&quot;</span><span class="p">,</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;out = data == 0 ? 1 : data&quot;&quot;&quot;</span><span class="p">,</span> + <span class="n">name</span><span class="o">=</span><span class="s2">&quot;paganin_precond_int&quot;</span><span class="p">,</span> + <span class="n">no_return</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> + <span class="p">)</span> + + <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">dtype</span> <span class="ow">in</span> <span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">cp</span><span class="o">.</span><span class="n">float64</span><span class="p">):</span> + <span class="n">precond_kernel_float</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">data</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">precond_kernel_int</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">data</span><span class="p">)</span> + + <span class="c1"># avoid normalising in both directions - we include multiplier in the post_kernel</span> + <span class="n">data</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">complex64</span><span class="p">)</span> + <span class="n">data</span> <span class="o">=</span> <span class="n">fft2</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span> <span class="n">overwrite_x</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="s2">&quot;backward&quot;</span><span class="p">)</span> + + <span class="c1"># prepare filter here, while the GPU is busy with the FFT</span> + <span class="n">filtercomplex</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="n">height1</span><span class="p">,</span> <span class="n">width1</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">complex64</span><span class="p">)</span> + <span class="n">bx</span> <span class="o">=</span> <span class="mi">16</span> + <span class="n">by</span> <span class="o">=</span> <span class="mi">8</span> + <span class="n">gx</span> <span class="o">=</span> <span class="p">(</span><span class="n">width1</span> <span class="o">+</span> <span class="n">bx</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="n">bx</span> + <span class="n">gy</span> <span class="o">=</span> <span class="p">(</span><span class="n">height1</span> <span class="o">+</span> <span class="n">by</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="n">by</span> + <span class="n">kernel</span><span class="p">(</span> + <span class="n">grid</span><span class="o">=</span><span class="p">(</span><span class="n">gx</span><span class="p">,</span> <span class="n">gy</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> + <span class="n">block</span><span class="o">=</span><span class="p">(</span><span class="n">bx</span><span class="p">,</span> <span class="n">by</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> + <span class="n">args</span><span class="o">=</span><span class="p">(</span> + <span class="n">cp</span><span class="o">.</span><span class="n">int32</span><span class="p">(</span><span class="n">width1</span><span class="p">),</span> + <span class="n">cp</span><span class="o">.</span><span class="n">int32</span><span class="p">(</span><span class="n">height1</span><span class="p">),</span> + <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">resolution</span><span class="p">),</span> + <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">wavelength</span><span class="p">),</span> + <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">distance</span><span class="p">),</span> + <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">ratio</span><span class="p">),</span> + <span class="n">filtercomplex</span><span class="p">,</span> + <span class="p">),</span> + <span class="p">)</span> + <span class="n">data</span> <span class="o">*=</span> <span class="n">filtercomplex</span> + + <span class="n">data</span> <span class="o">=</span> <span class="n">ifft2</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span> <span class="n">overwrite_x</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="s2">&quot;forward&quot;</span><span class="p">)</span> + + <span class="n">post_kernel</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ElementwiseKernel</span><span class="p">(</span> + <span class="s2">&quot;C pci1, raw float32 increment, raw float32 ratio, raw float32 fft_scale&quot;</span><span class="p">,</span> + <span class="s2">&quot;T out&quot;</span><span class="p">,</span> + <span class="s2">&quot;out = -0.5 * ratio * log(abs(pci1) * fft_scale + increment)&quot;</span><span class="p">,</span> + <span class="n">name</span><span class="o">=</span><span class="s2">&quot;paganin_post_proc&quot;</span><span class="p">,</span> + <span class="n">no_return</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">fft_scale</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">])</span> + <span class="n">res</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">post_kernel</span><span class="p">(</span> + <span class="n">data</span><span class="p">[:,</span> <span class="n">pad_y</span> <span class="p">:</span> <span class="n">pad_y</span> <span class="o">+</span> <span class="n">height</span><span class="p">,</span> <span class="n">pad_x</span> <span class="p">:</span> <span class="n">pad_x</span> <span class="o">+</span> <span class="n">width</span><span class="p">],</span> + <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">increment</span><span class="p">),</span> + <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">ratio</span><span class="p">),</span> + <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">fft_scale</span><span class="p">),</span> + <span class="n">res</span><span class="p">,</span> + <span class="p">)</span> + <span class="k">return</span> <span class="n">res</span></div> + + +<span class="k">def</span> <span class="nf">_wavelength</span><span class="p">(</span><span class="n">energy</span><span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span><span class="p">:</span> + <span class="n">SPEED_OF_LIGHT</span> <span class="o">=</span> <span class="mf">299792458e2</span> <span class="c1"># [cm/s]</span> + <span class="n">PLANCK_CONSTANT</span> <span class="o">=</span> <span class="mf">6.58211928e-19</span> <span class="c1"># [keV*s]</span> + <span class="k">return</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span> <span class="o">*</span> <span class="n">PLANCK_CONSTANT</span> <span class="o">*</span> <span class="n">SPEED_OF_LIGHT</span> <span class="o">/</span> <span class="n">energy</span> + + +<span class="k">def</span> <span class="nf">_reciprocal_grid</span><span class="p">(</span><span class="n">pixel_size</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="n">shape_proj</span><span class="p">:</span> <span class="nb">tuple</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Calculate reciprocal grid.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> pixel_size : float</span> +<span class="sd"> Detector pixel size in cm.</span> +<span class="sd"> shape_proj : tuple</span> +<span class="sd"> Shape of the reciprocal grid along x and y axes.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> ndarray</span> +<span class="sd"> Grid coordinates.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="c1"># Sampling in reciprocal space.</span> + <span class="n">indx</span> <span class="o">=</span> <span class="n">_reciprocal_coord</span><span class="p">(</span><span class="n">pixel_size</span><span class="p">,</span> <span class="n">shape_proj</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> + <span class="n">indy</span> <span class="o">=</span> <span class="n">_reciprocal_coord</span><span class="p">(</span><span class="n">pixel_size</span><span class="p">,</span> <span class="n">shape_proj</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span> + <span class="n">indx_sq</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">square</span><span class="p">(</span><span class="n">indx</span><span class="p">)</span> + <span class="n">indy_sq</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">square</span><span class="p">(</span><span class="n">indy</span><span class="p">)</span> + + <span class="k">return</span> <span class="n">cp</span><span class="o">.</span><span class="n">add</span><span class="o">.</span><span class="n">outer</span><span class="p">(</span><span class="n">indx_sq</span><span class="p">,</span> <span class="n">indy_sq</span><span class="p">)</span> + + +<span class="k">def</span> <span class="nf">_reciprocal_coord</span><span class="p">(</span><span class="n">pixel_size</span><span class="p">:</span> <span class="nb">float</span><span class="p">,</span> <span class="n">num_grid</span><span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Calculate reciprocal grid coordinates for a given pixel size</span> +<span class="sd"> and discretization.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> pixel_size : float</span> +<span class="sd"> Detector pixel size in cm.</span> +<span class="sd"> num_grid : int</span> +<span class="sd"> Size of the reciprocal grid.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> ndarray</span> +<span class="sd"> Grid coordinates.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">n</span> <span class="o">=</span> <span class="n">num_grid</span> <span class="o">-</span> <span class="mi">1</span> + <span class="n">rc</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="o">-</span><span class="n">n</span><span class="p">,</span> <span class="n">num_grid</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">rc</span> <span class="o">*=</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span> <span class="o">/</span> <span class="p">(</span><span class="n">n</span> <span class="o">*</span> <span class="n">pixel_size</span><span class="p">)</span> + <span class="k">return</span> <span class="n">rc</span> + + +<span class="c1">##-------------------------------------------------------------##</span> +<span class="c1">##-------------------------------------------------------------##</span> +<span class="c1"># Adaptation of retrieve_phase (Paganin filter) from TomoPy</span> +<div class="viewcode-block" id="paganin_filter_tomopy"><a class="viewcode-back" href="../../../api/httomolibgpu.prep.phase.html#httomolibgpu.prep.phase.paganin_filter_tomopy">[docs]</a><span class="k">def</span> <span class="nf">paganin_filter_tomopy</span><span class="p">(</span> + <span class="n">tomo</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">pixel_size</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-4</span><span class="p">,</span> + <span class="n">dist</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">50.0</span><span class="p">,</span> + <span class="n">energy</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">53.0</span><span class="p">,</span> + <span class="n">alpha</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1e-3</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Perform single-material phase retrieval from flats/darks corrected tomographic measurements. See</span> +<span class="sd"> :cite:`Paganin02` for a reference.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> tomo : cp.ndarray</span> +<span class="sd"> 3D array of f/d corrected tomographic projections.</span> +<span class="sd"> pixel_size : float, optional</span> +<span class="sd"> Detector pixel size in cm.</span> +<span class="sd"> dist : float, optional</span> +<span class="sd"> Propagation distance of the wavefront in cm.</span> +<span class="sd"> energy : float, optional</span> +<span class="sd"> Energy of incident wave in keV.</span> +<span class="sd"> alpha : float, optional</span> +<span class="sd"> Regularization parameter, the ratio of delta/beta. Larger values lead to more smoothing.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cp.ndarray</span> +<span class="sd"> The 3D array of Paganin phase-filtered projection images.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="c1"># Check the input data is valid</span> + <span class="k">if</span> <span class="n">tomo</span><span class="o">.</span><span class="n">ndim</span> <span class="o">!=</span> <span class="mi">3</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span> + <span class="sa">f</span><span class="s2">&quot;Invalid number of dimensions in data: </span><span class="si">{</span><span class="n">tomo</span><span class="o">.</span><span class="n">ndim</span><span class="si">}</span><span class="s2">,&quot;</span> + <span class="s2">&quot; please provide a stack of 2D projections.&quot;</span> + <span class="p">)</span> + + <span class="n">dz_orig</span><span class="p">,</span> <span class="n">dy_orig</span><span class="p">,</span> <span class="n">dx_orig</span> <span class="o">=</span> <span class="n">tomo</span><span class="o">.</span><span class="n">shape</span> + + <span class="c1"># Perform padding to the power of 2 as FFT is O(n*log(n)) complexity</span> + <span class="c1"># TODO: adding other options of padding?</span> + <span class="n">padded_tomo</span><span class="p">,</span> <span class="n">pad_tup</span> <span class="o">=</span> <span class="n">_pad_projections_to_second_power</span><span class="p">(</span><span class="n">tomo</span><span class="p">)</span> + + <span class="n">dz</span><span class="p">,</span> <span class="n">dy</span><span class="p">,</span> <span class="n">dx</span> <span class="o">=</span> <span class="n">padded_tomo</span><span class="o">.</span><span class="n">shape</span> + + <span class="c1"># 3D FFT of tomo data</span> + <span class="n">padded_tomo</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">padded_tomo</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">complex64</span><span class="p">)</span> + <span class="n">fft_tomo</span> <span class="o">=</span> <span class="n">fft2</span><span class="p">(</span><span class="n">padded_tomo</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span> <span class="n">overwrite_x</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> + + <span class="c1"># Compute the reciprocal grid.</span> + <span class="n">w2</span> <span class="o">=</span> <span class="n">_reciprocal_grid</span><span class="p">(</span><span class="n">pixel_size</span><span class="p">,</span> <span class="p">(</span><span class="n">dy</span><span class="p">,</span> <span class="n">dx</span><span class="p">))</span> + + <span class="c1"># Build filter in the Fourier space.</span> + <span class="n">phase_filter</span> <span class="o">=</span> <span class="n">fftshift</span><span class="p">(</span><span class="n">_paganin_filter_factor2</span><span class="p">(</span><span class="n">energy</span><span class="p">,</span> <span class="n">dist</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="n">w2</span><span class="p">))</span> + <span class="n">phase_filter</span> <span class="o">=</span> <span class="n">phase_filter</span> <span class="o">/</span> <span class="n">phase_filter</span><span class="o">.</span><span class="n">max</span><span class="p">()</span> <span class="c1"># normalisation</span> + + <span class="c1"># Filter projections</span> + <span class="n">fft_tomo</span> <span class="o">*=</span> <span class="n">phase_filter</span> + + <span class="c1"># Apply filter and take inverse FFT</span> + <span class="n">ifft_filtered_tomo</span> <span class="o">=</span> <span class="p">(</span><span class="n">ifft2</span><span class="p">(</span><span class="n">fft_tomo</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mi">2</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">),</span> <span class="n">overwrite_x</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span><span class="o">.</span><span class="n">real</span> + + <span class="c1"># slicing indices for cropping</span> + <span class="n">slc_indices</span> <span class="o">=</span> <span class="p">(</span> + <span class="nb">slice</span><span class="p">(</span><span class="n">pad_tup</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="n">pad_tup</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">dz_orig</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> + <span class="nb">slice</span><span class="p">(</span><span class="n">pad_tup</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="n">pad_tup</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">dy_orig</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> + <span class="nb">slice</span><span class="p">(</span><span class="n">pad_tup</span><span class="p">[</span><span class="mi">2</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="n">pad_tup</span><span class="p">[</span><span class="mi">2</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">dx_orig</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> + <span class="p">)</span> + + <span class="c1"># crop the padded filtered data:</span> + <span class="n">tomo</span> <span class="o">=</span> <span class="n">ifft_filtered_tomo</span><span class="p">[</span><span class="n">slc_indices</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + + <span class="c1"># taking the negative log</span> + <span class="n">_log_kernel</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ElementwiseKernel</span><span class="p">(</span> + <span class="s2">&quot;C tomo&quot;</span><span class="p">,</span> + <span class="s2">&quot;C out&quot;</span><span class="p">,</span> + <span class="s2">&quot;out = -log(tomo)&quot;</span><span class="p">,</span> + <span class="n">name</span><span class="o">=</span><span class="s2">&quot;log_kernel&quot;</span><span class="p">,</span> + <span class="p">)</span> + + <span class="k">return</span> <span class="n">_log_kernel</span><span class="p">(</span><span class="n">tomo</span><span class="p">)</span></div> + + +<span class="k">def</span> <span class="nf">_shift_bit_length</span><span class="p">(</span><span class="n">x</span><span class="p">:</span> <span class="nb">int</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span><span class="p">:</span> + <span class="k">return</span> <span class="mi">1</span> <span class="o">&lt;&lt;</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">bit_length</span><span class="p">()</span> + + +<span class="k">def</span> <span class="nf">_pad_projections_to_second_power</span><span class="p">(</span><span class="n">tomo</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">]:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Performs padding of each projection to the next power of 2.</span> +<span class="sd"> If the shape is not even we also care of that before padding.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> tomo : cp.ndarray</span> +<span class="sd"> 3d projection data</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> ndarray: padded 3d projection data</span> +<span class="sd"> tuple: a tuple with padding dimensions</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">full_shape_tomo</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">shape</span><span class="p">(</span><span class="n">tomo</span><span class="p">)</span> + + <span class="n">pad_tup</span> <span class="o">=</span> <span class="p">[]</span> + <span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">element</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">full_shape_tomo</span><span class="p">):</span> + <span class="k">if</span> <span class="n">index</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span> + <span class="n">pad_width</span> <span class="o">=</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> <span class="c1"># do not pad the slicing dim</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">diff</span> <span class="o">=</span> <span class="n">_shift_bit_length</span><span class="p">(</span><span class="n">element</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">-</span> <span class="n">element</span> + <span class="k">if</span> <span class="n">element</span> <span class="o">%</span> <span class="mi">2</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span> + <span class="n">pad_width_scalar</span> <span class="o">=</span> <span class="n">diff</span> <span class="o">//</span> <span class="mi">2</span> + <span class="n">pad_width</span> <span class="o">=</span> <span class="p">(</span><span class="n">pad_width_scalar</span><span class="p">,</span> <span class="n">pad_width_scalar</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="c1"># need an uneven padding for odd-number lengths</span> + <span class="n">left_pad</span> <span class="o">=</span> <span class="n">diff</span> <span class="o">//</span> <span class="mi">2</span> + <span class="n">right_pad</span> <span class="o">=</span> <span class="n">diff</span> <span class="o">-</span> <span class="n">left_pad</span> + <span class="n">pad_width</span> <span class="o">=</span> <span class="p">(</span><span class="n">left_pad</span><span class="p">,</span> <span class="n">right_pad</span><span class="p">)</span> + + <span class="n">pad_tup</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">pad_width</span><span class="p">)</span> + + <span class="n">padded_tomo</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">pad</span><span class="p">(</span><span class="n">tomo</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">pad_tup</span><span class="p">),</span> <span class="s2">&quot;edge&quot;</span><span class="p">)</span> + + <span class="k">return</span> <span class="n">padded_tomo</span><span class="p">,</span> <span class="n">pad_tup</span> + + +<span class="k">def</span> <span class="nf">_paganin_filter_factor2</span><span class="p">(</span><span class="n">energy</span><span class="p">,</span> <span class="n">dist</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="n">w2</span><span class="p">):</span> + <span class="c1"># Alpha represents the ratio of delta/beta.</span> + <span class="k">return</span> <span class="mi">1</span> <span class="o">/</span> <span class="p">(</span><span class="n">_wavelength</span><span class="p">(</span><span class="n">energy</span><span class="p">)</span> <span class="o">*</span> <span class="n">dist</span> <span class="o">*</span> <span class="n">w2</span> <span class="o">/</span> <span class="p">(</span><span class="mi">4</span> <span class="o">*</span> <span class="n">math</span><span class="o">.</span><span class="n">pi</span><span class="p">)</span> <span class="o">+</span> <span class="n">alpha</span><span class="p">)</span> +</pre></div> + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> +</div></div> + +</div> + + </footer> + + </div> + + + + + </div> + <footer class="bd-footer-content"> + +<div class="bd-footer-content__inner container"> + + <div class="footer-item"> + + </div> + + <div class="footer-item"> + + <p class="copyright"> + + © Copyright 2024, Diamond Light Source. + <br/> + + </p> + + </div> + + <div 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py-mod docutils literal notranslate"><span class="pre">httomolibgpu.prep.stripe</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="../../../api/httomolibgpu.recon.algorithm.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.algorithm</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="../../../api/httomolibgpu.recon.rotation.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.rotation</span></code></a></li> +</ul> +</li> +<li class="toctree-l1"><a class="reference internal" href="../../../bibliography/biblio.html">Bibliography</a></li> +</ul> +<p aria-level="2" class="caption" role="heading"><span class="caption-text">Examples</span></p> +<ul class="nav bd-sidenav"> +<li class="toctree-l1"><a class="reference internal" href="../../../examples/pipeline1_FBP.html">Example 1 (FBP and Fourier)</a></li> +<li class="toctree-l1"><a 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+<span class="c1">#</span> +<span class="c1"># Licensed under the Apache License, Version 2.0 (the &quot;License&quot;);</span> +<span class="c1"># you may not use this file except in compliance with the License.</span> +<span class="c1"># You may obtain a copy of the License at</span> +<span class="c1">#</span> +<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> +<span class="c1">#</span> +<span class="c1"># Unless required by applicable law or agreed to in writing, software</span> +<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span> +<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> +<span class="c1"># See the License for the specific language governing permissions and</span> +<span class="c1"># limitations under the License.</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Created By : Tomography Team at DLS &lt;scientificsoftware@diamond.ac.uk&gt;</span> +<span class="c1"># Created Date: 01 November 2022</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="sd">&quot;&quot;&quot;Modules for stripes removal&quot;&quot;&quot;</span> + +<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> +<span class="kn">from</span> <span class="nn">httomolibgpu</span> <span class="kn">import</span> <span class="n">cupywrapper</span> + +<span class="n">cp</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cp</span> +<span class="n">cupy_run</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cupy_run</span> + +<span class="kn">from</span> <span class="nn">unittest.mock</span> <span class="kn">import</span> <span class="n">Mock</span> + +<span class="k">if</span> <span class="n">cupy_run</span><span class="p">:</span> + <span class="kn">from</span> <span class="nn">cupyx.scipy.ndimage</span> <span class="kn">import</span> <span class="n">median_filter</span><span class="p">,</span> <span class="n">binary_dilation</span><span class="p">,</span> <span class="n">uniform_filter1d</span> +<span class="k">else</span><span class="p">:</span> + <span class="n">median_filter</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">binary_dilation</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">uniform_filter1d</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + +<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span> + +<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span> + <span class="s2">&quot;remove_stripe_based_sorting&quot;</span><span class="p">,</span> + <span class="s2">&quot;remove_stripe_ti&quot;</span><span class="p">,</span> + <span class="s2">&quot;remove_all_stripe&quot;</span><span class="p">,</span> +<span class="p">]</span> + + +<div class="viewcode-block" id="remove_stripe_based_sorting"><a class="viewcode-back" href="../../../api/httomolibgpu.prep.stripe.html#httomolibgpu.prep.stripe.remove_stripe_based_sorting">[docs]</a><span class="k">def</span> <span class="nf">remove_stripe_based_sorting</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">],</span> + <span class="n">size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">11</span><span class="p">,</span> + <span class="n">dim</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">]:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Remove full and partial stripe artifacts from sinogram using Nghia Vo&#39;s</span> +<span class="sd"> approach, see :cite:`vo2018superior`. This algorithm works particularly</span> +<span class="sd"> well for removing partial stripes.</span> + +<span class="sd"> Steps of the algorithm: 1. Sort each column of the sinogram by its grayscale values.</span> +<span class="sd"> 2. Apply a smoothing (median) filter on the sorted image along each row. 3. Re-sort the smoothed image columns to the original rows to</span> +<span class="sd"> get the corrected sinogram.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : ndarray</span> +<span class="sd"> 3D tomographic data as a CuPy or NumPy array.</span> +<span class="sd"> size : int, optional</span> +<span class="sd"> Window size of the median filter.</span> +<span class="sd"> dim : {1, 2}, optional</span> +<span class="sd"> Dimension of the window.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> ndarray</span> +<span class="sd"> Corrected 3D tomographic data as a CuPy or NumPy array.</span> + +<span class="sd"> &quot;&quot;&quot;</span> + <span class="k">if</span> <span class="n">size</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> + <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">2000</span><span class="p">:</span> + <span class="n">size</span> <span class="o">=</span> <span class="mi">21</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">size</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="mf">0.01</span> <span class="o">*</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]))</span> + + <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]):</span> + <span class="n">data</span><span class="p">[:,</span> <span class="n">m</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">_rs_sort</span><span class="p">(</span><span class="n">data</span><span class="p">[:,</span> <span class="n">m</span><span class="p">,</span> <span class="p">:],</span> <span class="n">size</span><span class="p">,</span> <span class="n">dim</span><span class="p">)</span> + + <span class="k">return</span> <span class="n">data</span></div> + + +<span class="k">def</span> <span class="nf">_rs_sort</span><span class="p">(</span><span class="n">sinogram</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">dim</span><span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Remove stripes using the sorting technique.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">sinogram</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">sinogram</span><span class="p">)</span> + + <span class="c1">#: Sort each column of the sinogram by its grayscale values</span> + <span class="c1">#: Keep track of the sorting indices so we can reverse it below</span> + <span class="n">sortvals</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">sinogram</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="n">sortvals_reverse</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">sortvals</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="n">sino_sort</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">take_along_axis</span><span class="p">(</span><span class="n">sinogram</span><span class="p">,</span> <span class="n">sortvals</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + + <span class="c1">#: Now apply the median filter on the sorted image along each row</span> + <span class="n">sino_sort</span> <span class="o">=</span> <span class="n">median_filter</span><span class="p">(</span><span class="n">sino_sort</span><span class="p">,</span> <span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> <span class="k">if</span> <span class="n">dim</span> <span class="o">==</span> <span class="mi">1</span> <span class="k">else</span> <span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">size</span><span class="p">))</span> + + <span class="c1">#: step 3: re-sort the smoothed image columns to the original rows</span> + <span class="n">sino_corrected</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">take_along_axis</span><span class="p">(</span><span class="n">sino_sort</span><span class="p">,</span> <span class="n">sortvals_reverse</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + + <span class="k">return</span> <span class="n">cp</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">sino_corrected</span><span class="p">)</span> + + +<div class="viewcode-block" id="remove_stripe_ti"><a class="viewcode-back" href="../../../api/httomolibgpu.prep.stripe.html#httomolibgpu.prep.stripe.remove_stripe_ti">[docs]</a><span class="k">def</span> <span class="nf">remove_stripe_ti</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">],</span> + <span class="n">beta</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.1</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span><span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">]:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Removes stripes with the method of V. Titarenko (TomoCuPy implementation).</span> +<span class="sd"> See :cite:`titarenko2010analytical`.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : ndarray</span> +<span class="sd"> 3D stack of projections as a CuPy array.</span> +<span class="sd"> beta : float, optional</span> +<span class="sd"> filter parameter, lower values increase the filter strength.</span> +<span class="sd"> Default is 0.1.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> ndarray</span> +<span class="sd"> 3D array of de-striped projections.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="c1"># TODO: detector dimensions must be even otherwise error</span> + <span class="n">gamma</span> <span class="o">=</span> <span class="n">beta</span> <span class="o">*</span> <span class="p">((</span><span class="mi">1</span> <span class="o">-</span> <span class="n">beta</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">beta</span><span class="p">))</span> <span class="o">**</span> <span class="n">cp</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span> + <span class="n">cp</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">fftfreq</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">])</span> <span class="o">*</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> + <span class="p">)</span> + <span class="n">gamma</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-=</span> <span class="mi">1</span> + <span class="n">v</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> + <span class="n">v</span> <span class="o">=</span> <span class="n">v</span> <span class="o">-</span> <span class="n">v</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">1</span><span class="p">]</span> + <span class="n">v</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">irfft</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">rfft</span><span class="p">(</span><span class="n">v</span><span class="p">)</span> <span class="o">*</span> <span class="n">cp</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">rfft</span><span class="p">(</span><span class="n">gamma</span><span class="p">))</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span> + <span class="n">data</span><span class="p">[:]</span> <span class="o">+=</span> <span class="n">v</span> + <span class="k">return</span> <span class="n">data</span></div> + + +<span class="c1">######## Optimized version for Vo-all ring removal in tomopy########</span> +<span class="c1"># This function is taken from TomoCuPy package</span> +<span class="c1"># *************************************************************************** #</span> +<span class="c1"># Copyright © 2022, UChicago Argonne, LLC #</span> +<span class="c1"># All Rights Reserved #</span> +<span class="c1"># Software Name: Tomocupy #</span> +<span class="c1"># By: Argonne National Laboratory #</span> +<span class="c1"># #</span> +<span class="c1"># OPEN SOURCE LICENSE #</span> +<span class="c1"># #</span> +<span class="c1"># Redistribution and use in source and binary forms, with or without #</span> +<span class="c1"># modification, are permitted provided that the following conditions are met: #</span> +<span class="c1"># #</span> +<span class="c1"># 1. Redistributions of source code must retain the above copyright notice, #</span> +<span class="c1"># this list of conditions and the following disclaimer. #</span> +<span class="c1"># 2. Redistributions in binary form must reproduce the above copyright #</span> +<span class="c1"># notice, this list of conditions and the following disclaimer in the #</span> +<span class="c1"># documentation and/or other materials provided with the distribution. #</span> +<span class="c1"># 3. Neither the name of the copyright holder nor the names of its #</span> +<span class="c1"># contributors may be used to endorse or promote products derived #</span> +<span class="c1"># from this software without specific prior written permission. #</span> +<span class="c1"># #</span> +<span class="c1"># #</span> +<span class="c1"># *************************************************************************** #</span> +<div class="viewcode-block" id="remove_all_stripe"><a class="viewcode-back" href="../../../api/httomolibgpu.prep.stripe.html#httomolibgpu.prep.stripe.remove_all_stripe">[docs]</a><span class="k">def</span> <span class="nf">remove_all_stripe</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">snr</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">3.0</span><span class="p">,</span> + <span class="n">la_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">61</span><span class="p">,</span> + <span class="n">sm_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">21</span><span class="p">,</span> + <span class="n">dim</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Remove all types of stripe artifacts from sinogram using Nghia Vo&#39;s</span> +<span class="sd"> approach, see :cite:`vo2018superior` (combination of algorithm 3,4,5, and 6).</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : ndarray</span> +<span class="sd"> 3D tomographic data as a CuPy array.</span> +<span class="sd"> snr : float, optional</span> +<span class="sd"> Ratio used to locate large stripes.</span> +<span class="sd"> Greater is less sensitive.</span> +<span class="sd"> la_size : int, optional</span> +<span class="sd"> Window size of the median filter to remove large stripes.</span> +<span class="sd"> sm_size : int, optional</span> +<span class="sd"> Window size of the median filter to remove small-to-medium stripes.</span> +<span class="sd"> dim : {1, 2}, optional</span> +<span class="sd"> Dimension of the window.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> ndarray</span> +<span class="sd"> Corrected 3D tomographic data as a CuPy or NumPy array.</span> + +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">matindex</span> <span class="o">=</span> <span class="n">_create_matindex</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> + <span class="k">for</span> <span class="n">m</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]):</span> + <span class="n">sino</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:,</span> <span class="n">m</span><span class="p">,</span> <span class="p">:]</span> + <span class="n">sino</span> <span class="o">=</span> <span class="n">_rs_dead</span><span class="p">(</span><span class="n">sino</span><span class="p">,</span> <span class="n">snr</span><span class="p">,</span> <span class="n">la_size</span><span class="p">,</span> <span class="n">matindex</span><span class="p">)</span> + <span class="n">sino</span> <span class="o">=</span> <span class="n">_rs_sort2</span><span class="p">(</span><span class="n">sino</span><span class="p">,</span> <span class="n">sm_size</span><span class="p">,</span> <span class="n">matindex</span><span class="p">,</span> <span class="n">dim</span><span class="p">)</span> + <span class="n">sino</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">nan_to_num</span><span class="p">(</span><span class="n">sino</span><span class="p">)</span> + <span class="n">data</span><span class="p">[:,</span> <span class="n">m</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">sino</span> + <span class="k">return</span> <span class="n">data</span></div> + + +<span class="k">def</span> <span class="nf">_rs_sort2</span><span class="p">(</span><span class="n">sinogram</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">matindex</span><span class="p">,</span> <span class="n">dim</span><span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Remove stripes using the sorting technique.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">sinogram</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">sinogram</span><span class="p">)</span> + <span class="n">matcomb</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">dstack</span><span class="p">((</span><span class="n">matindex</span><span class="p">,</span> <span class="n">sinogram</span><span class="p">)))</span> + + <span class="c1"># matsort = cp.asarray([row[row[:, 1].argsort()] for row in matcomb])</span> + <span class="n">ids</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">matcomb</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="n">matsort</span> <span class="o">=</span> <span class="n">matcomb</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> + <span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">take_along_axis</span><span class="p">(</span><span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">ids</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">take_along_axis</span><span class="p">(</span><span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">ids</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="k">if</span> <span class="n">dim</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span> + <span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">median_filter</span><span class="p">(</span><span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">],</span> <span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">median_filter</span><span class="p">(</span><span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">],</span> <span class="p">(</span><span class="n">size</span><span class="p">,</span> <span class="n">size</span><span class="p">))</span> + + <span class="c1"># matsortback = cp.asarray([row[row[:, 0].argsort()] for row in matsort])</span> + + <span class="n">ids</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="n">matsortback</span> <span class="o">=</span> <span class="n">matsort</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> + <span class="n">matsortback</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">take_along_axis</span><span class="p">(</span><span class="n">matsortback</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">ids</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="n">matsortback</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">take_along_axis</span><span class="p">(</span><span class="n">matsortback</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">ids</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + + <span class="n">sino_corrected</span> <span class="o">=</span> <span class="n">matsortback</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> + <span class="k">return</span> <span class="n">cp</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">sino_corrected</span><span class="p">)</span> + + +<span class="k">def</span> <span class="nf">_mpolyfit</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">):</span> + <span class="n">n</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> + <span class="n">x_mean</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> + <span class="n">y_mean</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">y</span><span class="p">)</span> + + <span class="n">Sxy</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">x</span> <span class="o">*</span> <span class="n">y</span><span class="p">)</span> <span class="o">-</span> <span class="n">n</span> <span class="o">*</span> <span class="n">x_mean</span> <span class="o">*</span> <span class="n">y_mean</span> + <span class="n">Sxx</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">x</span> <span class="o">*</span> <span class="n">x</span><span class="p">)</span> <span class="o">-</span> <span class="n">n</span> <span class="o">*</span> <span class="n">x_mean</span> <span class="o">*</span> <span class="n">x_mean</span> + + <span class="n">slope</span> <span class="o">=</span> <span class="n">Sxy</span> <span class="o">/</span> <span class="n">Sxx</span> + <span class="n">intercept</span> <span class="o">=</span> <span class="n">y_mean</span> <span class="o">-</span> <span class="n">slope</span> <span class="o">*</span> <span class="n">x_mean</span> + <span class="k">return</span> <span class="n">slope</span><span class="p">,</span> <span class="n">intercept</span> + + +<span class="k">def</span> <span class="nf">_detect_stripe</span><span class="p">(</span><span class="n">listdata</span><span class="p">,</span> <span class="n">snr</span><span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Algorithm 4 in :cite:`Vo:18`. Used to locate stripes.</span> +<span class="sd"> &quot;&quot;&quot;</span> + + <span class="n">numdata</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">listdata</span><span class="p">)</span> + <span class="n">listsorted</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">listdata</span><span class="p">)[::</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> + <span class="n">xlist</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">numdata</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span> + <span class="n">ndrop</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">int16</span><span class="p">(</span><span class="mf">0.25</span> <span class="o">*</span> <span class="n">numdata</span><span class="p">)</span> + <span class="c1"># (_slope, _intercept) = cp.polyfit(xlist[ndrop:-ndrop - 1],</span> + <span class="c1"># listsorted[ndrop:-ndrop - 1], 1)</span> + <span class="p">(</span><span class="n">_slope</span><span class="p">,</span> <span class="n">_intercept</span><span class="p">)</span> <span class="o">=</span> <span class="n">_mpolyfit</span><span class="p">(</span> + <span class="n">xlist</span><span class="p">[</span><span class="n">ndrop</span> <span class="p">:</span> <span class="o">-</span><span class="n">ndrop</span> <span class="o">-</span> <span class="mi">1</span><span class="p">],</span> <span class="n">listsorted</span><span class="p">[</span><span class="n">ndrop</span> <span class="p">:</span> <span class="o">-</span><span class="n">ndrop</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> + <span class="p">)</span> + + <span class="n">numt1</span> <span class="o">=</span> <span class="n">_intercept</span> <span class="o">+</span> <span class="n">_slope</span> <span class="o">*</span> <span class="n">xlist</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> + <span class="n">noiselevel</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">numt1</span> <span class="o">-</span> <span class="n">_intercept</span><span class="p">)</span> + <span class="n">noiselevel</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">noiselevel</span><span class="p">,</span> <span class="mf">1e-6</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> + <span class="n">val1</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">listsorted</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">_intercept</span><span class="p">)</span> <span class="o">/</span> <span class="n">noiselevel</span> + <span class="n">val2</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">listsorted</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">numt1</span><span class="p">)</span> <span class="o">/</span> <span class="n">noiselevel</span> + <span class="n">listmask</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">zeros_like</span><span class="p">(</span><span class="n">listdata</span><span class="p">)</span> + <span class="k">if</span> <span class="n">val1</span> <span class="o">&gt;=</span> <span class="n">snr</span><span class="p">:</span> + <span class="n">upper_thresh</span> <span class="o">=</span> <span class="n">_intercept</span> <span class="o">+</span> <span class="n">noiselevel</span> <span class="o">*</span> <span class="n">snr</span> <span class="o">*</span> <span class="mf">0.5</span> + <span class="n">listmask</span><span class="p">[</span><span class="n">listdata</span> <span class="o">&gt;</span> <span class="n">upper_thresh</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span> + <span class="k">if</span> <span class="n">val2</span> <span class="o">&gt;=</span> <span class="n">snr</span><span class="p">:</span> + <span class="n">lower_thresh</span> <span class="o">=</span> <span class="n">numt1</span> <span class="o">-</span> <span class="n">noiselevel</span> <span class="o">*</span> <span class="n">snr</span> <span class="o">*</span> <span class="mf">0.5</span> + <span class="n">listmask</span><span class="p">[</span><span class="n">listdata</span> <span class="o">&lt;=</span> <span class="n">lower_thresh</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.0</span> + <span class="k">return</span> <span class="n">listmask</span> + + +<span class="k">def</span> <span class="nf">_rs_large</span><span class="p">(</span><span class="n">sinogram</span><span class="p">,</span> <span class="n">snr</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">matindex</span><span class="p">,</span> <span class="n">drop_ratio</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Remove large stripes.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">drop_ratio</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">drop_ratio</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">),</span> <span class="mi">0</span><span class="p">)</span> <span class="c1"># = cp.clip(drop_ratio, 0.0, 0.8)</span> + <span class="p">(</span><span class="n">nrow</span><span class="p">,</span> <span class="n">ncol</span><span class="p">)</span> <span class="o">=</span> <span class="n">sinogram</span><span class="o">.</span><span class="n">shape</span> + <span class="n">ndrop</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mf">0.5</span> <span class="o">*</span> <span class="n">drop_ratio</span> <span class="o">*</span> <span class="n">nrow</span><span class="p">)</span> + <span class="n">sinosort</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">sort</span><span class="p">(</span><span class="n">sinogram</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> + <span class="n">sinosmooth</span> <span class="o">=</span> <span class="n">median_filter</span><span class="p">(</span><span class="n">sinosort</span><span class="p">,</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="p">))</span> + <span class="n">list1</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sinosort</span><span class="p">[</span><span class="n">ndrop</span> <span class="p">:</span> <span class="n">nrow</span> <span class="o">-</span> <span class="n">ndrop</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> + <span class="n">list2</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sinosmooth</span><span class="p">[</span><span class="n">ndrop</span> <span class="p">:</span> <span class="n">nrow</span> <span class="o">-</span> <span class="n">ndrop</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> + <span class="c1"># listfact = cp.divide(list1,</span> + <span class="c1"># list2,</span> + <span class="c1"># out=cp.ones_like(list1),</span> + <span class="c1"># where=list2 != 0)</span> + + <span class="n">listfact</span> <span class="o">=</span> <span class="n">list1</span> <span class="o">/</span> <span class="n">list2</span> + + <span class="c1"># Locate stripes</span> + <span class="n">listmask</span> <span class="o">=</span> <span class="n">_detect_stripe</span><span class="p">(</span><span class="n">listfact</span><span class="p">,</span> <span class="n">snr</span><span class="p">)</span> + <span class="n">listmask</span> <span class="o">=</span> <span class="n">binary_dilation</span><span class="p">(</span><span class="n">listmask</span><span class="p">,</span> <span class="n">iterations</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">listmask</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span> + <span class="n">matfact</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="n">listfact</span><span class="p">,</span> <span class="p">(</span><span class="n">nrow</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span> + <span class="c1"># Normalize</span> + <span class="k">if</span> <span class="n">norm</span> <span class="ow">is</span> <span class="kc">True</span><span class="p">:</span> + <span class="n">sinogram</span> <span class="o">=</span> <span class="n">sinogram</span> <span class="o">/</span> <span class="n">matfact</span> + <span class="n">sinogram1</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">sinogram</span><span class="p">)</span> + <span class="n">matcombine</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">dstack</span><span class="p">((</span><span class="n">matindex</span><span class="p">,</span> <span class="n">sinogram1</span><span class="p">)))</span> + + <span class="c1"># matsort = cp.asarray([row[row[:, 1].argsort()] for row in matcombine])</span> + <span class="n">ids</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">matcombine</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="n">matsort</span> <span class="o">=</span> <span class="n">matcombine</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> + <span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">take_along_axis</span><span class="p">(</span><span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">ids</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">take_along_axis</span><span class="p">(</span><span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">ids</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + + <span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">sinosmooth</span><span class="p">)</span> + <span class="c1"># matsortback = cp.asarray([row[row[:, 0].argsort()] for row in matsort])</span> + <span class="n">ids</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">argsort</span><span class="p">(</span><span class="n">matsort</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="n">matsortback</span> <span class="o">=</span> <span class="n">matsort</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> + <span class="n">matsortback</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">take_along_axis</span><span class="p">(</span><span class="n">matsortback</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">0</span><span class="p">],</span> <span class="n">ids</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="n">matsortback</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">take_along_axis</span><span class="p">(</span><span class="n">matsortback</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">ids</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + + <span class="n">sino_corrected</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">matsortback</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">])</span> + <span class="n">listxmiss</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">listmask</span> <span class="o">&gt;</span> <span class="mf">0.0</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">sinogram</span><span class="p">[:,</span> <span class="n">listxmiss</span><span class="p">]</span> <span class="o">=</span> <span class="n">sino_corrected</span><span class="p">[:,</span> <span class="n">listxmiss</span><span class="p">]</span> + <span class="k">return</span> <span class="n">sinogram</span> + + +<span class="k">def</span> <span class="nf">_rs_dead</span><span class="p">(</span><span class="n">sinogram</span><span class="p">,</span> <span class="n">snr</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">matindex</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Remove unresponsive and fluctuating stripes.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">sinogram</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">sinogram</span><span class="p">)</span> <span class="c1"># Make it mutable</span> + <span class="p">(</span><span class="n">nrow</span><span class="p">,</span> <span class="n">_</span><span class="p">)</span> <span class="o">=</span> <span class="n">sinogram</span><span class="o">.</span><span class="n">shape</span> + <span class="c1"># sinosmooth = cp.apply_along_axis(uniform_filter1d, 0, sinogram, 10)</span> + <span class="n">sinosmooth</span> <span class="o">=</span> <span class="n">uniform_filter1d</span><span class="p">(</span><span class="n">sinogram</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> + + <span class="n">listdiff</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">sinogram</span> <span class="o">-</span> <span class="n">sinosmooth</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> + <span class="n">listdiffbck</span> <span class="o">=</span> <span class="n">median_filter</span><span class="p">(</span><span class="n">listdiff</span><span class="p">,</span> <span class="n">size</span><span class="p">)</span> + + <span class="n">listfact</span> <span class="o">=</span> <span class="n">listdiff</span> <span class="o">/</span> <span class="n">listdiffbck</span> + + <span class="n">listmask</span> <span class="o">=</span> <span class="n">_detect_stripe</span><span class="p">(</span><span class="n">listfact</span><span class="p">,</span> <span class="n">snr</span><span class="p">)</span> + <span class="n">listmask</span> <span class="o">=</span> <span class="n">binary_dilation</span><span class="p">(</span><span class="n">listmask</span><span class="p">,</span> <span class="n">iterations</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">listmask</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span> + <span class="n">listmask</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0.0</span> + <span class="n">listmask</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">:]</span> <span class="o">=</span> <span class="mf">0.0</span> + <span class="n">listx</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">listmask</span> <span class="o">&lt;</span> <span class="mf">1.0</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">listy</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">nrow</span><span class="p">)</span> + <span class="n">matz</span> <span class="o">=</span> <span class="n">sinogram</span><span class="p">[:,</span> <span class="n">listx</span><span class="p">]</span> + + <span class="n">listxmiss</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">listmask</span> <span class="o">&gt;</span> <span class="mf">0.0</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> + + <span class="c1"># finter = interpolate.interp2d(listx.get(), listy.get(), matz.get(), kind=&#39;linear&#39;)</span> + <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">listxmiss</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span> + <span class="c1"># sinogram_c[:, listxmiss.get()] = finter(listxmiss.get(), listy.get())</span> + <span class="n">ids</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">searchsorted</span><span class="p">(</span><span class="n">listx</span><span class="p">,</span> <span class="n">listxmiss</span><span class="p">)</span> + <span class="n">sinogram</span><span class="p">[:,</span> <span class="n">listxmiss</span><span class="p">]</span> <span class="o">=</span> <span class="n">matz</span><span class="p">[:,</span> <span class="n">ids</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="p">(</span><span class="n">listxmiss</span> <span class="o">-</span> <span class="n">listx</span><span class="p">[</span><span class="n">ids</span> <span class="o">-</span> <span class="mi">1</span><span class="p">])</span> <span class="o">*</span> <span class="p">(</span> + <span class="n">matz</span><span class="p">[:,</span> <span class="n">ids</span><span class="p">]</span> <span class="o">-</span> <span class="n">matz</span><span class="p">[:,</span> <span class="n">ids</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> + <span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">listx</span><span class="p">[</span><span class="n">ids</span><span class="p">]</span> <span class="o">-</span> <span class="n">listx</span><span class="p">[</span><span class="n">ids</span> <span class="o">-</span> <span class="mi">1</span><span class="p">])</span> + + <span class="c1"># Remove residual stripes</span> + <span class="k">if</span> <span class="n">norm</span> <span class="ow">is</span> <span class="kc">True</span><span class="p">:</span> + <span class="n">sinogram</span> <span class="o">=</span> <span class="n">_rs_large</span><span class="p">(</span><span class="n">sinogram</span><span class="p">,</span> <span class="n">snr</span><span class="p">,</span> <span class="n">size</span><span class="p">,</span> <span class="n">matindex</span><span class="p">)</span> + <span class="k">return</span> <span class="n">sinogram</span> + + +<span class="k">def</span> <span class="nf">_create_matindex</span><span class="p">(</span><span class="n">nrow</span><span class="p">,</span> <span class="n">ncol</span><span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Create a 2D array of indexes used for the sorting technique.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">listindex</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="n">ncol</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span> + <span class="n">matindex</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">tile</span><span class="p">(</span><span class="n">listindex</span><span class="p">,</span> <span class="p">(</span><span class="n">nrow</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span> + <span class="k">return</span> <span class="n">matindex</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> +</pre></div> + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> +</div></div> + +</div> + + </footer> + + </div> + + + + + </div> + <footer class="bd-footer-content"> + +<div class="bd-footer-content__inner container"> + + <div class="footer-item"> + + </div> + + <div class="footer-item"> + + <p class="copyright"> + + © Copyright 2024, Diamond Light Source. + <br/> + + </p> + + </div> + + <div class="footer-item"> + <p class="last-updated"> + Last updated on Sep 20, 2024. + <br/> +</p> + </div> + + <div class="footer-item"> + + </div> + +</div> + </footer> + + + </main> + </div> + </div> + + <!-- Scripts loaded after <body> so the DOM is not blocked --> + <script 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class="c1"># you may not use this file except in compliance with the License.</span> +<span class="c1"># You may obtain a copy of the License at</span> +<span class="c1">#</span> +<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> +<span class="c1">#</span> +<span class="c1"># Unless required by applicable law or agreed to in writing, software</span> +<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span> +<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> +<span class="c1"># See the License for the specific language governing permissions and</span> +<span class="c1"># limitations under the License.</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Created By : Tomography Team at DLS &lt;scientificsoftware@diamond.ac.uk&gt;</span> +<span class="c1"># Changes relative to ToMoBAR 2024.01 version</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="sd">&quot;&quot;&quot;Module for tomographic reconstruction&quot;&quot;&quot;</span> + +<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> +<span class="kn">from</span> <span class="nn">httomolibgpu</span> <span class="kn">import</span> <span class="n">cupywrapper</span> + +<span class="n">cp</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cp</span> +<span class="n">cupy_run</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cupy_run</span> + +<span class="kn">from</span> <span class="nn">unittest.mock</span> <span class="kn">import</span> <span class="n">Mock</span> + +<span class="k">if</span> <span class="n">cupy_run</span><span class="p">:</span> + <span class="kn">from</span> <span class="nn">tomobar.methodsDIR_CuPy</span> <span class="kn">import</span> <span class="n">RecToolsDIRCuPy</span> + <span class="kn">from</span> <span class="nn">tomobar.methodsIR_CuPy</span> <span class="kn">import</span> <span class="n">RecToolsIRCuPy</span> +<span class="k">else</span><span class="p">:</span> + <span class="n">RecToolsDIRCuPy</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">RecToolsIRCuPy</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + +<span class="kn">from</span> <span class="nn">numpy</span> <span class="kn">import</span> <span class="n">float32</span><span class="p">,</span> <span class="n">complex64</span> +<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Type</span> + + +<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span> + <span class="s2">&quot;FBP&quot;</span><span class="p">,</span> + <span class="s2">&quot;LPRec&quot;</span><span class="p">,</span> + <span class="s2">&quot;SIRT&quot;</span><span class="p">,</span> + <span class="s2">&quot;CGLS&quot;</span><span class="p">,</span> +<span class="p">]</span> + +<span class="n">input_data_axis_labels</span> <span class="o">=</span> <span class="p">[</span><span class="s2">&quot;angles&quot;</span><span class="p">,</span> <span class="s2">&quot;detY&quot;</span><span class="p">,</span> <span class="s2">&quot;detX&quot;</span><span class="p">]</span> <span class="c1"># set the labels of the input data</span> + + +<span class="c1">## %%%%%%%%%%%%%%%%%%%%%%% FBP reconstruction %%%%%%%%%%%%%%%%%%%%%%%%%%%% ##</span> +<div class="viewcode-block" id="FBP"><a class="viewcode-back" href="../../../api/httomolibgpu.recon.algorithm.html#httomolibgpu.recon.algorithm.FBP">[docs]</a><span class="k">def</span> <span class="nf">FBP</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">angles</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">center</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">filter_freq_cutoff</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="mf">1.1</span><span class="p">,</span> + <span class="n">recon_size</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">recon_mask_radius</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">gpu_id</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Perform Filtered Backprojection (FBP) reconstruction using ASTRA toolbox :cite:`van2016fast` and</span> +<span class="sd"> ToMoBAR :cite:`kazantsev2020tomographic` wrappers.</span> +<span class="sd"> This is a 3D recon from a CuPy array directly and a custom built filter.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> Projection data as a CuPy array.</span> +<span class="sd"> angles : np.ndarray</span> +<span class="sd"> An array of angles given in radians.</span> +<span class="sd"> center : float, optional</span> +<span class="sd"> The center of rotation (CoR).</span> +<span class="sd"> filter_freq_cutoff : float, optional</span> +<span class="sd"> Cutoff frequency parameter for the sinc filter, the lowest values produce more crispy but noisy reconstruction.</span> +<span class="sd"> recon_size : int, optional</span> +<span class="sd"> The [recon_size, recon_size] shape of the reconstructed slice in pixels.</span> +<span class="sd"> By default (None), the reconstructed size will be the dimension of the horizontal detector.</span> +<span class="sd"> recon_mask_radius: float, optional</span> +<span class="sd"> The radius of the circular mask that applies to the reconstructed slice in order to crop</span> +<span class="sd"> out some undesirable artifacts. The values outside the diameter will be set to zero.</span> +<span class="sd"> None by default, to see the effect of the mask try setting the value in the range [0.7-1.0].</span> +<span class="sd"> gpu_id : int, optional</span> +<span class="sd"> A GPU device index to perform operation on.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cp.ndarray</span> +<span class="sd"> The FBP reconstructed volume as a CuPy array.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">RecToolsCP</span> <span class="o">=</span> <span class="n">_instantiate_direct_recon_class</span><span class="p">(</span> + <span class="n">data</span><span class="p">,</span> <span class="n">angles</span><span class="p">,</span> <span class="n">center</span><span class="p">,</span> <span class="n">recon_size</span><span class="p">,</span> <span class="n">gpu_id</span> + <span class="p">)</span> + + <span class="n">reconstruction</span> <span class="o">=</span> <span class="n">RecToolsCP</span><span class="o">.</span><span class="n">FBP</span><span class="p">(</span> + <span class="n">data</span><span class="p">,</span> + <span class="n">cutoff_freq</span><span class="o">=</span><span class="n">filter_freq_cutoff</span><span class="p">,</span> + <span class="n">recon_mask_radius</span><span class="o">=</span><span class="n">recon_mask_radius</span><span class="p">,</span> + <span class="n">data_axes_labels_order</span><span class="o">=</span><span class="n">input_data_axis_labels</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">cp</span><span class="o">.</span><span class="n">_default_memory_pool</span><span class="o">.</span><span class="n">free_all_blocks</span><span class="p">()</span> + <span class="k">return</span> <span class="n">cp</span><span class="o">.</span><span class="n">require</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">swapaxes</span><span class="p">(</span><span class="n">reconstruction</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">requirements</span><span class="o">=</span><span class="s2">&quot;C&quot;</span><span class="p">)</span></div> + + +<span class="c1">## %%%%%%%%%%%%%%%%%%%%%%% LPRec %%%%%%%%%%%%%%%%%%%%%%%%%%%% ##</span> +<div class="viewcode-block" id="LPRec"><a class="viewcode-back" href="../../../api/httomolibgpu.recon.algorithm.html#httomolibgpu.recon.algorithm.LPRec">[docs]</a><span class="k">def</span> <span class="nf">LPRec</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">angles</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">center</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">recon_size</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">recon_mask_radius</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Fourier direct inversion in 3D on unequally spaced (also called as Log-Polar) grids using</span> +<span class="sd"> CuPy array as an input. This implementation follows V. Nikitin&#39;s CUDA-C implementation and TomoCuPy package.</span> +<span class="sd"> :cite:`andersson2016fast`.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> Projection data as a CuPy array.</span> +<span class="sd"> angles : np.ndarray</span> +<span class="sd"> An array of angles given in radians.</span> +<span class="sd"> center : float, optional</span> +<span class="sd"> The center of rotation (CoR).</span> +<span class="sd"> recon_size : int, optional</span> +<span class="sd"> The [recon_size, recon_size] shape of the reconstructed slice in pixels.</span> +<span class="sd"> By default (None), the reconstructed size will be the dimension of the horizontal detector.</span> +<span class="sd"> recon_mask_radius: float, optional</span> +<span class="sd"> The radius of the circular mask that applies to the reconstructed slice in order to crop</span> +<span class="sd"> out some undesirable artifacts. The values outside the diameter will be set to zero.</span> +<span class="sd"> None by default, to see the effect of the mask try setting the value in the range [0.7-1.0].</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cp.ndarray</span> +<span class="sd"> The Log-polar Fourier reconstructed volume as a CuPy array.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">RecToolsCP</span> <span class="o">=</span> <span class="n">_instantiate_direct_recon_class</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">angles</span><span class="p">,</span> <span class="n">center</span><span class="p">,</span> <span class="n">recon_size</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> + + <span class="n">reconstruction</span> <span class="o">=</span> <span class="n">RecToolsCP</span><span class="o">.</span><span class="n">FOURIER_INV</span><span class="p">(</span> + <span class="n">data</span><span class="p">,</span> + <span class="n">recon_mask_radius</span><span class="o">=</span><span class="n">recon_mask_radius</span><span class="p">,</span> + <span class="n">data_axes_labels_order</span><span class="o">=</span><span class="n">input_data_axis_labels</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">cp</span><span class="o">.</span><span class="n">_default_memory_pool</span><span class="o">.</span><span class="n">free_all_blocks</span><span class="p">()</span> + <span class="k">return</span> <span class="n">cp</span><span class="o">.</span><span class="n">require</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">swapaxes</span><span class="p">(</span><span class="n">reconstruction</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">requirements</span><span class="o">=</span><span class="s2">&quot;C&quot;</span><span class="p">)</span></div> + + +<span class="c1">## %%%%%%%%%%%%%%%%%%%%%%% SIRT reconstruction %%%%%%%%%%%%%%%%%%%%%%%%%%%% ##</span> +<div class="viewcode-block" id="SIRT"><a class="viewcode-back" href="../../../api/httomolibgpu.recon.algorithm.html#httomolibgpu.recon.algorithm.SIRT">[docs]</a><span class="k">def</span> <span class="nf">SIRT</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">angles</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">center</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">recon_size</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">iterations</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="mi">300</span><span class="p">,</span> + <span class="n">nonnegativity</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> + <span class="n">gpu_id</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Perform Simultaneous Iterative Recostruction Technique (SIRT) using ASTRA toolbox :cite:`van2016fast` and</span> +<span class="sd"> ToMoBAR :cite:`kazantsev2020tomographic` wrappers.</span> +<span class="sd"> This is 3D recon directly from a CuPy array while using ASTRA GPUlink capability.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> Projection data as a CuPy array.</span> +<span class="sd"> angles : np.ndarray</span> +<span class="sd"> An array of angles given in radians.</span> +<span class="sd"> center : float, optional</span> +<span class="sd"> The center of rotation (CoR).</span> +<span class="sd"> recon_size : int, optional</span> +<span class="sd"> The [recon_size, recon_size] shape of the reconstructed slice in pixels.</span> +<span class="sd"> By default (None), the reconstructed size will be the dimension of the horizontal detector.</span> +<span class="sd"> iterations : int, optional</span> +<span class="sd"> The number of SIRT iterations.</span> +<span class="sd"> nonnegativity : bool, optional</span> +<span class="sd"> Impose nonnegativity constraint on reconstructed image.</span> +<span class="sd"> gpu_id : int, optional</span> +<span class="sd"> A GPU device index to perform operation on.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cp.ndarray</span> +<span class="sd"> The SIRT reconstructed volume as a CuPy array.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">RecToolsCP</span> <span class="o">=</span> <span class="n">_instantiate_iterative_recon_class</span><span class="p">(</span> + <span class="n">data</span><span class="p">,</span> <span class="n">angles</span><span class="p">,</span> <span class="n">center</span><span class="p">,</span> <span class="n">recon_size</span><span class="p">,</span> <span class="n">gpu_id</span><span class="p">,</span> <span class="n">datafidelity</span><span class="o">=</span><span class="s2">&quot;LS&quot;</span> + <span class="p">)</span> + + <span class="n">_data_</span> <span class="o">=</span> <span class="p">{</span> + <span class="s2">&quot;projection_norm_data&quot;</span><span class="p">:</span> <span class="n">data</span><span class="p">,</span> + <span class="s2">&quot;data_axes_labels_order&quot;</span><span class="p">:</span> <span class="n">input_data_axis_labels</span><span class="p">,</span> + <span class="p">}</span> <span class="c1"># data dictionary</span> + <span class="n">_algorithm_</span> <span class="o">=</span> <span class="p">{</span> + <span class="s2">&quot;iterations&quot;</span><span class="p">:</span> <span class="n">iterations</span><span class="p">,</span> + <span class="s2">&quot;nonnegativity&quot;</span><span class="p">:</span> <span class="n">nonnegativity</span><span class="p">,</span> + <span class="p">}</span> + <span class="n">reconstruction</span> <span class="o">=</span> <span class="n">RecToolsCP</span><span class="o">.</span><span class="n">SIRT</span><span class="p">(</span><span class="n">_data_</span><span class="p">,</span> <span class="n">_algorithm_</span><span class="p">)</span> + <span class="n">cp</span><span class="o">.</span><span class="n">_default_memory_pool</span><span class="o">.</span><span class="n">free_all_blocks</span><span class="p">()</span> + <span class="k">return</span> <span class="n">cp</span><span class="o">.</span><span class="n">require</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">swapaxes</span><span class="p">(</span><span class="n">reconstruction</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">requirements</span><span class="o">=</span><span class="s2">&quot;C&quot;</span><span class="p">)</span></div> + + +<span class="c1">## %%%%%%%%%%%%%%%%%%%%%%% CGLS reconstruction %%%%%%%%%%%%%%%%%%%%%%%%%%%% ##</span> +<div class="viewcode-block" id="CGLS"><a class="viewcode-back" href="../../../api/httomolibgpu.recon.algorithm.html#httomolibgpu.recon.algorithm.CGLS">[docs]</a><span class="k">def</span> <span class="nf">CGLS</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">angles</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">center</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">recon_size</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">iterations</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="mi">20</span><span class="p">,</span> + <span class="n">nonnegativity</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> + <span class="n">gpu_id</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Perform Congugate Gradient Least Squares (CGLS) using ASTRA toolbox :cite:`van2016fast` and</span> +<span class="sd"> ToMoBAR :cite:`kazantsev2020tomographic` wrappers.</span> +<span class="sd"> This is 3D recon directly from a CuPy array while using ASTRA GPUlink capability.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> Projection data as a CuPy array.</span> +<span class="sd"> angles : np.ndarray</span> +<span class="sd"> An array of angles given in radians.</span> +<span class="sd"> center : float, optional</span> +<span class="sd"> The center of rotation (CoR).</span> +<span class="sd"> recon_size : int, optional</span> +<span class="sd"> The [recon_size, recon_size] shape of the reconstructed slice in pixels.</span> +<span class="sd"> By default (None), the reconstructed size will be the dimension of the horizontal detector.</span> +<span class="sd"> iterations : int, optional</span> +<span class="sd"> The number of CGLS iterations.</span> +<span class="sd"> nonnegativity : bool, optional</span> +<span class="sd"> Impose nonnegativity constraint on reconstructed image.</span> +<span class="sd"> gpu_id : int, optional</span> +<span class="sd"> A GPU device index to perform operation on.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cp.ndarray</span> +<span class="sd"> The CGLS reconstructed volume as a CuPy array.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">RecToolsCP</span> <span class="o">=</span> <span class="n">_instantiate_iterative_recon_class</span><span class="p">(</span> + <span class="n">data</span><span class="p">,</span> <span class="n">angles</span><span class="p">,</span> <span class="n">center</span><span class="p">,</span> <span class="n">recon_size</span><span class="p">,</span> <span class="n">gpu_id</span><span class="p">,</span> <span class="n">datafidelity</span><span class="o">=</span><span class="s2">&quot;LS&quot;</span> + <span class="p">)</span> + + <span class="n">_data_</span> <span class="o">=</span> <span class="p">{</span> + <span class="s2">&quot;projection_norm_data&quot;</span><span class="p">:</span> <span class="n">data</span><span class="p">,</span> + <span class="s2">&quot;data_axes_labels_order&quot;</span><span class="p">:</span> <span class="n">input_data_axis_labels</span><span class="p">,</span> + <span class="p">}</span> <span class="c1"># data dictionary</span> + <span class="n">_algorithm_</span> <span class="o">=</span> <span class="p">{</span><span class="s2">&quot;iterations&quot;</span><span class="p">:</span> <span class="n">iterations</span><span class="p">,</span> <span class="s2">&quot;nonnegativity&quot;</span><span class="p">:</span> <span class="n">nonnegativity</span><span class="p">}</span> + <span class="n">reconstruction</span> <span class="o">=</span> <span class="n">RecToolsCP</span><span class="o">.</span><span class="n">CGLS</span><span class="p">(</span><span class="n">_data_</span><span class="p">,</span> <span class="n">_algorithm_</span><span class="p">)</span> + <span class="n">cp</span><span class="o">.</span><span class="n">_default_memory_pool</span><span class="o">.</span><span class="n">free_all_blocks</span><span class="p">()</span> + <span class="k">return</span> <span class="n">cp</span><span class="o">.</span><span class="n">require</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">swapaxes</span><span class="p">(</span><span class="n">reconstruction</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">requirements</span><span class="o">=</span><span class="s2">&quot;C&quot;</span><span class="p">)</span></div> + + +<span class="c1">## %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ##</span> +<span class="k">def</span> <span class="nf">_instantiate_direct_recon_class</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">angles</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">center</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">recon_size</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">gpu_id</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Type</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;instantiate ToMoBAR&#39;s direct recon class</span> + +<span class="sd"> Args:</span> +<span class="sd"> data (cp.ndarray): data array</span> +<span class="sd"> angles (np.ndarray): angles</span> +<span class="sd"> center (Optional[float], optional): center of recon. Defaults to None.</span> +<span class="sd"> recon_size (Optional[int], optional): recon_size. Defaults to None.</span> +<span class="sd"> gpu_id (int, optional): gpu ID. Defaults to 0.</span> + +<span class="sd"> Returns:</span> +<span class="sd"> Type[RecToolsDIRCuPy]: an instance of the direct recon class</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="k">if</span> <span class="n">center</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> + <span class="n">center</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">//</span> <span class="mi">2</span> <span class="c1"># making a crude guess</span> + <span class="k">if</span> <span class="n">recon_size</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> + <span class="n">recon_size</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> + <span class="n">RecToolsCP</span> <span class="o">=</span> <span class="n">RecToolsDIRCuPy</span><span class="p">(</span> + <span class="n">DetectorsDimH</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="c1"># Horizontal detector dimension</span> + <span class="n">DetectorsDimV</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="c1"># Vertical detector dimension (3D case)</span> + <span class="n">CenterRotOffset</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">/</span> <span class="mi">2</span> + <span class="o">-</span> <span class="n">center</span> + <span class="o">-</span> <span class="mf">0.5</span><span class="p">,</span> <span class="c1"># Center of Rotation scalar or a vector</span> + <span class="n">AnglesVec</span><span class="o">=-</span><span class="n">angles</span><span class="p">,</span> <span class="c1"># A vector of projection angles in radians</span> + <span class="n">ObjSize</span><span class="o">=</span><span class="n">recon_size</span><span class="p">,</span> <span class="c1"># Reconstructed object dimensions (scalar)</span> + <span class="n">device_projector</span><span class="o">=</span><span class="n">gpu_id</span><span class="p">,</span> + <span class="p">)</span> + <span class="k">return</span> <span class="n">RecToolsCP</span> + + +<span class="k">def</span> <span class="nf">_instantiate_iterative_recon_class</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">angles</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">center</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">recon_size</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">gpu_id</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> + <span class="n">datafidelity</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">&quot;LS&quot;</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Type</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;instantiate ToMoBAR&#39;s iterative recon class</span> + +<span class="sd"> Args:</span> +<span class="sd"> data (cp.ndarray): data array</span> +<span class="sd"> angles (np.ndarray): angles</span> +<span class="sd"> center (Optional[float], optional): center of recon. Defaults to None.</span> +<span class="sd"> recon_size (Optional[int], optional): recon_size. Defaults to None.</span> +<span class="sd"> datafidelity (str, optional): Data fidelity</span> +<span class="sd"> gpu_id (int, optional): gpu ID. Defaults to 0.</span> + +<span class="sd"> Returns:</span> +<span class="sd"> Type[RecToolsIRCuPy]: an instance of the iterative class</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="k">if</span> <span class="n">center</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> + <span class="n">center</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">//</span> <span class="mi">2</span> <span class="c1"># making a crude guess</span> + <span class="k">if</span> <span class="n">recon_size</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> + <span class="n">recon_size</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> + <span class="n">RecToolsCP</span> <span class="o">=</span> <span class="n">RecToolsIRCuPy</span><span class="p">(</span> + <span class="n">DetectorsDimH</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="c1"># Horizontal detector dimension</span> + <span class="n">DetectorsDimV</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="c1"># Vertical detector dimension (3D case)</span> + <span class="n">CenterRotOffset</span><span class="o">=</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">/</span> <span class="mi">2</span> + <span class="o">-</span> <span class="n">center</span> + <span class="o">-</span> <span class="mf">0.5</span><span class="p">,</span> <span class="c1"># Center of Rotation scalar or a vector</span> + <span class="n">AnglesVec</span><span class="o">=-</span><span class="n">angles</span><span class="p">,</span> <span class="c1"># A vector of projection angles in radians</span> + <span class="n">ObjSize</span><span class="o">=</span><span class="n">recon_size</span><span class="p">,</span> <span class="c1"># Reconstructed object dimensions (scalar)</span> + <span class="n">datafidelity</span><span class="o">=</span><span class="n">datafidelity</span><span class="p">,</span> + <span class="n">device_projector</span><span class="o">=</span><span class="n">gpu_id</span><span class="p">,</span> + <span class="p">)</span> + <span class="k">return</span> <span class="n">RecToolsCP</span> +</pre></div> + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div 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+ </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <h1>Source code for httomolibgpu.recon.rotation</h1><div class="highlight"><pre> +<span></span><span class="ch">#!/usr/bin/env python3</span> +<span class="c1"># -*- coding: utf-8 -*-</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Copyright 2022 Diamond Light Source Ltd.</span> +<span class="c1">#</span> +<span class="c1"># Licensed under the Apache License, Version 2.0 (the &quot;License&quot;);</span> +<span class="c1"># you may not use this file except in compliance with the License.</span> +<span class="c1"># You may obtain a copy of the License at</span> +<span class="c1">#</span> +<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span> +<span class="c1">#</span> +<span class="c1"># Unless required by applicable law or agreed to in writing, software</span> +<span class="c1"># distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span> +<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span> +<span class="c1"># See the License for the specific language governing permissions and</span> +<span class="c1"># limitations under the License.</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="c1"># Created By : Tomography Team at DLS &lt;scientificsoftware@diamond.ac.uk&gt;</span> +<span class="c1"># Created Date: 01 November 2022</span> +<span class="c1"># ---------------------------------------------------------------------------</span> +<span class="sd">&quot;&quot;&quot;Modules for finding the axis of rotation for 180 and 360 degrees scans&quot;&quot;&quot;</span> + +<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> +<span class="kn">from</span> <span class="nn">httomolibgpu</span> <span class="kn">import</span> <span class="n">cupywrapper</span> + +<span class="n">cp</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cp</span> +<span class="n">cupy_run</span> <span class="o">=</span> <span class="n">cupywrapper</span><span class="o">.</span><span class="n">cupy_run</span> + +<span class="kn">from</span> <span class="nn">unittest.mock</span> <span class="kn">import</span> <span class="n">Mock</span> + +<span class="k">if</span> <span class="n">cupy_run</span><span class="p">:</span> + <span class="kn">from</span> <span class="nn">httomolibgpu.cuda_kernels</span> <span class="kn">import</span> <span class="n">load_cuda_module</span> + <span class="kn">from</span> <span class="nn">cupyx.scipy.ndimage</span> <span class="kn">import</span> <span class="n">shift</span><span class="p">,</span> <span class="n">gaussian_filter</span> + <span class="kn">from</span> <span class="nn">skimage.registration</span> <span class="kn">import</span> <span class="n">phase_cross_correlation</span> + <span class="kn">from</span> <span class="nn">cupyx.scipy.fftpack</span> <span class="kn">import</span> <span class="n">get_fft_plan</span> + <span class="kn">from</span> <span class="nn">cupyx.scipy.fft</span> <span class="kn">import</span> <span class="n">rfft2</span> +<span class="k">else</span><span class="p">:</span> + <span class="n">load_cuda_module</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">shift</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">gaussian_filter</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">phase_cross_correlation</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">get_fft_plan</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + <span class="n">rfft2</span> <span class="o">=</span> <span class="n">Mock</span><span class="p">()</span> + +<span class="kn">import</span> <span class="nn">math</span> +<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Literal</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span> + +<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span> + <span class="s2">&quot;find_center_vo&quot;</span><span class="p">,</span> + <span class="s2">&quot;find_center_360&quot;</span><span class="p">,</span> + <span class="s2">&quot;find_center_pc&quot;</span><span class="p">,</span> +<span class="p">]</span> + + +<div class="viewcode-block" id="find_center_vo"><a class="viewcode-back" href="../../../api/httomolibgpu.recon.rotation.html#httomolibgpu.recon.rotation.find_center_vo">[docs]</a><span class="k">def</span> <span class="nf">find_center_vo</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">ind</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">smin</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="o">-</span><span class="mi">50</span><span class="p">,</span> + <span class="n">smax</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">50</span><span class="p">,</span> + <span class="n">srad</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">6.0</span><span class="p">,</span> + <span class="n">step</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.25</span><span class="p">,</span> + <span class="n">ratio</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> + <span class="n">drop</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">20</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Find rotation axis location (aka CoR) using Nghia Vo&#39;s method. See the paper</span> +<span class="sd"> :cite:`vo2014reliable`.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> 3D tomographic data or a 2D sinogram as a CuPy array.</span> +<span class="sd"> ind : int, optional</span> +<span class="sd"> Index of the slice to be used to estimate the CoR.</span> +<span class="sd"> smin : int, optional</span> +<span class="sd"> Coarse search radius. Reference to the horizontal center of</span> +<span class="sd"> the sinogram.</span> +<span class="sd"> smax : int, optional</span> +<span class="sd"> Coarse search radius. Reference to the horizontal center of</span> +<span class="sd"> the sinogram.</span> +<span class="sd"> srad : float, optional</span> +<span class="sd"> Fine search radius.</span> +<span class="sd"> step : float, optional</span> +<span class="sd"> Step of fine searching.</span> +<span class="sd"> ratio : float, optional</span> +<span class="sd"> The ratio between the FOV of the camera and the size of object.</span> +<span class="sd"> It&#39;s used to generate the mask.</span> +<span class="sd"> drop : int, optional</span> +<span class="sd"> Drop lines around vertical center of the mask.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> float</span> +<span class="sd"> Rotation axis location.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span> + <span class="n">data</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> + <span class="n">ind</span> <span class="o">=</span> <span class="mi">0</span> + + <span class="n">height</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> + + <span class="k">if</span> <span class="n">ind</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> + <span class="n">ind</span> <span class="o">=</span> <span class="n">height</span> <span class="o">//</span> <span class="mi">2</span> + <span class="k">if</span> <span class="n">height</span> <span class="o">&gt;</span> <span class="mi">10</span><span class="p">:</span> + <span class="n">_sino</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">data</span><span class="p">[:,</span> <span class="n">ind</span> <span class="o">-</span> <span class="mi">5</span> <span class="p">:</span> <span class="n">ind</span> <span class="o">+</span> <span class="mi">5</span><span class="p">,</span> <span class="p">:],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">_sino</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:,</span> <span class="n">ind</span><span class="p">,</span> <span class="p">:]</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">_sino</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:,</span> <span class="n">ind</span><span class="p">,</span> <span class="p">:]</span> + + <span class="n">_sino_cs</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span><span class="n">_sino</span><span class="p">,</span> <span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;reflect&quot;</span><span class="p">)</span> + <span class="n">_sino_fs</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span><span class="n">_sino</span><span class="p">,</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;reflect&quot;</span><span class="p">)</span> + + <span class="k">if</span> <span class="n">_sino</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="n">_sino</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mf">4e6</span><span class="p">:</span> + <span class="c1"># data is large, so downsample it before performing search for</span> + <span class="c1"># centre of rotation</span> + <span class="n">_sino_coarse</span> <span class="o">=</span> <span class="n">_downsample</span><span class="p">(</span><span class="n">_sino_cs</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> + <span class="n">init_cen</span> <span class="o">=</span> <span class="n">_search_coarse</span><span class="p">(</span><span class="n">_sino_coarse</span><span class="p">,</span> <span class="n">smin</span> <span class="o">/</span> <span class="mf">4.0</span><span class="p">,</span> <span class="n">smax</span> <span class="o">/</span> <span class="mf">4.0</span><span class="p">,</span> <span class="n">ratio</span><span class="p">,</span> <span class="n">drop</span><span class="p">)</span> + <span class="n">fine_cen</span> <span class="o">=</span> <span class="n">_search_fine</span><span class="p">(</span><span class="n">_sino_fs</span><span class="p">,</span> <span class="n">srad</span><span class="p">,</span> <span class="n">step</span><span class="p">,</span> <span class="n">init_cen</span> <span class="o">*</span> <span class="mf">4.0</span><span class="p">,</span> <span class="n">ratio</span><span class="p">,</span> <span class="n">drop</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">init_cen</span> <span class="o">=</span> <span class="n">_search_coarse</span><span class="p">(</span><span class="n">_sino_cs</span><span class="p">,</span> <span class="n">smin</span><span class="p">,</span> <span class="n">smax</span><span class="p">,</span> <span class="n">ratio</span><span class="p">,</span> <span class="n">drop</span><span class="p">)</span> + <span class="n">fine_cen</span> <span class="o">=</span> <span class="n">_search_fine</span><span class="p">(</span><span class="n">_sino_fs</span><span class="p">,</span> <span class="n">srad</span><span class="p">,</span> <span class="n">step</span><span class="p">,</span> <span class="n">init_cen</span><span class="p">,</span> <span class="n">ratio</span><span class="p">,</span> <span class="n">drop</span><span class="p">)</span> + + <span class="k">return</span> <span class="n">cp</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">(</span><span class="n">fine_cen</span><span class="p">)</span></div> + + +<span class="k">def</span> <span class="nf">_search_coarse</span><span class="p">(</span><span class="n">sino</span><span class="p">,</span> <span class="n">smin</span><span class="p">,</span> <span class="n">smax</span><span class="p">,</span> <span class="n">ratio</span><span class="p">,</span> <span class="n">drop</span><span class="p">):</span> + <span class="p">(</span><span class="n">nrow</span><span class="p">,</span> <span class="n">ncol</span><span class="p">)</span> <span class="o">=</span> <span class="n">sino</span><span class="o">.</span><span class="n">shape</span> + <span class="n">flip_sino</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ascontiguousarray</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">fliplr</span><span class="p">(</span><span class="n">sino</span><span class="p">))</span> + <span class="n">comp_sino</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ascontiguousarray</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">flipud</span><span class="p">(</span><span class="n">sino</span><span class="p">))</span> + <span class="n">mask</span> <span class="o">=</span> <span class="n">_create_mask</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">nrow</span><span class="p">,</span> <span class="n">ncol</span><span class="p">,</span> <span class="mf">0.5</span> <span class="o">*</span> <span class="n">ratio</span> <span class="o">*</span> <span class="n">ncol</span><span class="p">,</span> <span class="n">drop</span><span class="p">)</span> + + <span class="n">cen_fliplr</span> <span class="o">=</span> <span class="p">(</span><span class="n">ncol</span> <span class="o">-</span> <span class="mf">1.0</span><span class="p">)</span> <span class="o">/</span> <span class="mf">2.0</span> + <span class="n">smin_clip_val</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">smin</span> <span class="o">+</span> <span class="n">cen_fliplr</span><span class="p">,</span> <span class="n">ncol</span> <span class="o">-</span> <span class="mi">1</span><span class="p">),</span> <span class="mi">0</span><span class="p">)</span> + <span class="n">smin</span> <span class="o">=</span> <span class="n">smin_clip_val</span> <span class="o">-</span> <span class="n">cen_fliplr</span> + <span class="n">smax_clip_val</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">smax</span> <span class="o">+</span> <span class="n">cen_fliplr</span><span class="p">,</span> <span class="n">ncol</span> <span class="o">-</span> <span class="mi">1</span><span class="p">),</span> <span class="mi">0</span><span class="p">)</span> + <span class="n">smax</span> <span class="o">=</span> <span class="n">smax_clip_val</span> <span class="o">-</span> <span class="n">cen_fliplr</span> + <span class="n">start_cor</span> <span class="o">=</span> <span class="n">ncol</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">+</span> <span class="n">smin</span> + <span class="n">stop_cor</span> <span class="o">=</span> <span class="n">ncol</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">+</span> <span class="n">smax</span> + <span class="n">list_cor</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">start_cor</span><span class="p">,</span> <span class="n">stop_cor</span> <span class="o">+</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">list_shift</span> <span class="o">=</span> <span class="mf">2.0</span> <span class="o">*</span> <span class="p">(</span><span class="n">list_cor</span> <span class="o">-</span> <span class="n">cen_fliplr</span><span class="p">)</span> + <span class="n">list_metric</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">list_shift</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">_calculate_metric</span><span class="p">(</span><span class="n">list_shift</span><span class="p">,</span> <span class="n">sino</span><span class="p">,</span> <span class="n">flip_sino</span><span class="p">,</span> <span class="n">comp_sino</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="n">list_metric</span><span class="p">)</span> + + <span class="n">minpos</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="n">list_metric</span><span class="p">)</span> + <span class="k">if</span> <span class="n">minpos</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span> + <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;WARNING!!!Global minimum is out of searching range&quot;</span><span class="p">)</span> + <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Please extend smin: </span><span class="si">{</span><span class="n">smin</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span> + <span class="k">if</span> <span class="n">minpos</span> <span class="o">==</span> <span class="nb">len</span><span class="p">(</span><span class="n">list_metric</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span> + <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;WARNING!!!Global minimum is out of searching range&quot;</span><span class="p">)</span> + <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Please extend smax: </span><span class="si">{</span><span class="n">smax</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span> + <span class="n">cor</span> <span class="o">=</span> <span class="n">list_cor</span><span class="p">[</span><span class="n">minpos</span><span class="p">]</span> + <span class="k">return</span> <span class="n">cor</span> + + +<span class="k">def</span> <span class="nf">_search_fine</span><span class="p">(</span><span class="n">sino</span><span class="p">,</span> <span class="n">srad</span><span class="p">,</span> <span class="n">step</span><span class="p">,</span> <span class="n">init_cen</span><span class="p">,</span> <span class="n">ratio</span><span class="p">,</span> <span class="n">drop</span><span class="p">):</span> + <span class="p">(</span><span class="n">nrow</span><span class="p">,</span> <span class="n">ncol</span><span class="p">)</span> <span class="o">=</span> <span class="n">sino</span><span class="o">.</span><span class="n">shape</span> + + <span class="n">flip_sino</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ascontiguousarray</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">fliplr</span><span class="p">(</span><span class="n">sino</span><span class="p">))</span> + <span class="n">comp_sino</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ascontiguousarray</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">flipud</span><span class="p">(</span><span class="n">sino</span><span class="p">))</span> + <span class="n">mask</span> <span class="o">=</span> <span class="n">_create_mask</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">nrow</span><span class="p">,</span> <span class="n">ncol</span><span class="p">,</span> <span class="mf">0.5</span> <span class="o">*</span> <span class="n">ratio</span> <span class="o">*</span> <span class="n">ncol</span><span class="p">,</span> <span class="n">drop</span><span class="p">)</span> + + <span class="n">cen_fliplr</span> <span class="o">=</span> <span class="p">(</span><span class="n">ncol</span> <span class="o">-</span> <span class="mf">1.0</span><span class="p">)</span> <span class="o">/</span> <span class="mf">2.0</span> + <span class="n">srad</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="nb">abs</span><span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">srad</span><span class="p">)),</span> <span class="n">ncol</span> <span class="o">/</span> <span class="mf">4.0</span><span class="p">),</span> <span class="mf">1.0</span><span class="p">)</span> + <span class="n">step</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="nb">abs</span><span class="p">(</span><span class="n">step</span><span class="p">),</span> <span class="n">srad</span><span class="p">),</span> <span class="mf">0.1</span><span class="p">)</span> + <span class="n">init_cen</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">init_cen</span><span class="p">,</span> <span class="n">ncol</span> <span class="o">-</span> <span class="n">srad</span> <span class="o">-</span> <span class="mi">1</span><span class="p">),</span> <span class="n">srad</span><span class="p">)</span> + <span class="n">list_cor</span> <span class="o">=</span> <span class="n">init_cen</span> <span class="o">+</span> <span class="n">cp</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="o">-</span><span class="n">srad</span><span class="p">,</span> <span class="n">srad</span> <span class="o">+</span> <span class="n">step</span><span class="p">,</span> <span class="n">step</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">list_shift</span> <span class="o">=</span> <span class="mf">2.0</span> <span class="o">*</span> <span class="p">(</span><span class="n">list_cor</span> <span class="o">-</span> <span class="n">cen_fliplr</span><span class="p">)</span> + <span class="n">list_metric</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">list_shift</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float32&quot;</span><span class="p">)</span> + + <span class="n">_calculate_metric</span><span class="p">(</span><span class="n">list_shift</span><span class="p">,</span> <span class="n">sino</span><span class="p">,</span> <span class="n">flip_sino</span><span class="p">,</span> <span class="n">comp_sino</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="n">list_metric</span><span class="p">)</span> + <span class="n">cor</span> <span class="o">=</span> <span class="n">list_cor</span><span class="p">[</span><span class="n">cp</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="n">list_metric</span><span class="p">)]</span> + <span class="k">return</span> <span class="n">cor</span> + + +<span class="k">def</span> <span class="nf">_create_mask</span><span class="p">(</span><span class="n">nrow</span><span class="p">,</span> <span class="n">ncol</span><span class="p">,</span> <span class="n">radius</span><span class="p">,</span> <span class="n">drop</span><span class="p">):</span> + <span class="n">du</span> <span class="o">=</span> <span class="mf">1.0</span> <span class="o">/</span> <span class="n">ncol</span> + <span class="n">dv</span> <span class="o">=</span> <span class="p">(</span><span class="n">nrow</span> <span class="o">-</span> <span class="mf">1.0</span><span class="p">)</span> <span class="o">/</span> <span class="p">(</span><span class="n">nrow</span> <span class="o">*</span> <span class="mf">2.0</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span><span class="p">)</span> + <span class="n">cen_row</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">nrow</span> <span class="o">/</span> <span class="mf">2.0</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> + <span class="n">cen_col</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">ncol</span> <span class="o">/</span> <span class="mf">2.0</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> + <span class="n">drop</span> <span class="o">=</span> <span class="nb">min</span><span class="p">([</span><span class="n">drop</span><span class="p">,</span> <span class="nb">int</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="mf">0.05</span> <span class="o">*</span> <span class="n">nrow</span><span class="p">))])</span> + + <span class="n">block_x</span> <span class="o">=</span> <span class="mi">128</span> + <span class="n">block_y</span> <span class="o">=</span> <span class="mi">1</span> + <span class="n">block_dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">block_x</span><span class="p">,</span> <span class="n">block_y</span><span class="p">)</span> + <span class="n">grid_x</span> <span class="o">=</span> <span class="p">(</span><span class="n">ncol</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">+</span> <span class="mi">1</span> <span class="o">+</span> <span class="n">block_x</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="n">block_x</span> + <span class="n">grid_y</span> <span class="o">=</span> <span class="n">nrow</span> + <span class="n">grid_dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">grid_x</span><span class="p">,</span> <span class="n">grid_y</span><span class="p">)</span> + <span class="n">mask</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="n">nrow</span><span class="p">,</span> <span class="n">ncol</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">+</span> <span class="mi">1</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;uint16&quot;</span><span class="p">)</span> + <span class="n">params</span> <span class="o">=</span> <span class="p">(</span> + <span class="n">ncol</span><span class="p">,</span> + <span class="n">nrow</span><span class="p">,</span> + <span class="n">cen_col</span><span class="p">,</span> + <span class="n">cen_row</span><span class="p">,</span> + <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">du</span><span class="p">),</span> + <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">dv</span><span class="p">),</span> + <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">radius</span><span class="p">),</span> + <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">drop</span><span class="p">),</span> + <span class="n">mask</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">module</span> <span class="o">=</span> <span class="n">load_cuda_module</span><span class="p">(</span><span class="s2">&quot;generate_mask&quot;</span><span class="p">)</span> + <span class="n">kernel</span> <span class="o">=</span> <span class="n">module</span><span class="o">.</span><span class="n">get_function</span><span class="p">(</span><span class="s2">&quot;generate_mask&quot;</span><span class="p">)</span> + <span class="n">kernel</span><span class="p">(</span><span class="n">grid_dims</span><span class="p">,</span> <span class="n">block_dims</span><span class="p">,</span> <span class="n">params</span><span class="p">)</span> + <span class="k">return</span> <span class="n">mask</span> + + +<span class="k">def</span> <span class="nf">round_up</span><span class="p">(</span><span class="n">x</span><span class="p">:</span> <span class="nb">float</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">int</span><span class="p">:</span> + <span class="k">if</span> <span class="n">x</span> <span class="o">&gt;=</span> <span class="mf">0.0</span><span class="p">:</span> + <span class="k">return</span> <span class="nb">int</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">x</span><span class="p">))</span> + <span class="k">else</span><span class="p">:</span> + <span class="k">return</span> <span class="nb">int</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">x</span><span class="p">))</span> + + +<span class="k">def</span> <span class="nf">_get_available_gpu_memory</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">int</span><span class="p">:</span> + <span class="n">dev</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">Device</span><span class="p">()</span> + <span class="c1"># first, let&#39;s make some space</span> + <span class="n">cp</span><span class="o">.</span><span class="n">get_default_memory_pool</span><span class="p">()</span><span class="o">.</span><span class="n">free_all_blocks</span><span class="p">()</span> + <span class="n">cache</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">fft</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">get_plan_cache</span><span class="p">()</span> + <span class="n">cache</span><span class="o">.</span><span class="n">clear</span><span class="p">()</span> + <span class="n">available_memory</span> <span class="o">=</span> <span class="n">dev</span><span class="o">.</span><span class="n">mem_info</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">cp</span><span class="o">.</span><span class="n">get_default_memory_pool</span><span class="p">()</span><span class="o">.</span><span class="n">free_bytes</span><span class="p">()</span> + <span class="k">return</span> <span class="nb">int</span><span class="p">(</span><span class="n">available_memory</span> <span class="o">*</span> <span class="mf">0.9</span><span class="p">)</span> <span class="c1"># 10% safety margin</span> + + +<span class="k">def</span> <span class="nf">_calculate_chunks</span><span class="p">(</span> + <span class="n">nshifts</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">shift_size</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">available_memory</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]:</span> + <span class="k">if</span> <span class="n">available_memory</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> + <span class="n">available_memory</span> <span class="o">=</span> <span class="n">_get_available_gpu_memory</span><span class="p">()</span> + + <span class="n">available_memory</span> <span class="o">-=</span> <span class="n">shift_size</span> + <span class="n">freq_domain_size</span> <span class="o">=</span> <span class="p">(</span> + <span class="n">shift_size</span> <span class="c1"># it needs only half (RFFT), but complex64, so it&#39;s the same</span> + <span class="p">)</span> + <span class="n">fft_plan_size</span> <span class="o">=</span> <span class="n">freq_domain_size</span> + <span class="n">size_per_shift</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">*</span> <span class="p">(</span><span class="n">fft_plan_size</span> <span class="o">+</span> <span class="n">freq_domain_size</span> <span class="o">+</span> <span class="n">shift_size</span><span class="p">)</span> + <span class="n">nshift_max</span> <span class="o">=</span> <span class="n">available_memory</span> <span class="o">//</span> <span class="n">size_per_shift</span> + <span class="k">assert</span> <span class="n">nshift_max</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">,</span> <span class="s2">&quot;Not enough memory to process&quot;</span> + <span class="n">num_chunks</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">nshifts</span> <span class="o">/</span> <span class="n">nshift_max</span><span class="p">))</span> + <span class="n">chunk_size</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">nshifts</span> <span class="o">/</span> <span class="n">num_chunks</span><span class="p">))</span> + <span class="n">chunks</span> <span class="o">=</span> <span class="p">[</span><span class="n">chunk_size</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">num_chunks</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> + <span class="n">stop_idx</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="n">chunks</span><span class="p">))</span> + <span class="n">stop_idx</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">nshifts</span><span class="p">)</span> + <span class="k">return</span> <span class="n">stop_idx</span> + + +<span class="k">def</span> <span class="nf">_calculate_metric</span><span class="p">(</span><span class="n">list_shift</span><span class="p">,</span> <span class="n">sino1</span><span class="p">,</span> <span class="n">sino2</span><span class="p">,</span> <span class="n">sino3</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="n">out</span><span class="p">):</span> + <span class="c1"># this tries to simplify - if shift_col is integer, no need to spline interpolate</span> + <span class="k">assert</span> <span class="n">list_shift</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="s2">&quot;shifts must be single precision floats&quot;</span> + <span class="k">assert</span> <span class="n">sino1</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="s2">&quot;sino1 must be float32&quot;</span> + <span class="k">assert</span> <span class="n">sino2</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="s2">&quot;sino1 must be float32&quot;</span> + <span class="k">assert</span> <span class="n">sino3</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="s2">&quot;sino1 must be float32&quot;</span> + <span class="k">assert</span> <span class="n">out</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="s2">&quot;sino1 must be float32&quot;</span> + <span class="k">assert</span> <span class="n">sino2</span><span class="o">.</span><span class="n">flags</span><span class="p">[</span><span class="s2">&quot;C_CONTIGUOUS&quot;</span><span class="p">],</span> <span class="s2">&quot;sino2 must be C-contiguous&quot;</span> + <span class="k">assert</span> <span class="n">sino3</span><span class="o">.</span><span class="n">flags</span><span class="p">[</span><span class="s2">&quot;C_CONTIGUOUS&quot;</span><span class="p">],</span> <span class="s2">&quot;sino3 must be C-contiguous&quot;</span> + <span class="k">assert</span> <span class="n">list_shift</span><span class="o">.</span><span class="n">flags</span><span class="p">[</span><span class="s2">&quot;C_CONTIGUOUS&quot;</span><span class="p">],</span> <span class="s2">&quot;list_shift must be C-contiguous&quot;</span> + <span class="n">nshifts</span> <span class="o">=</span> <span class="n">list_shift</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">na1</span> <span class="o">=</span> <span class="n">sino1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">na2</span> <span class="o">=</span> <span class="n">sino2</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + + <span class="n">module</span> <span class="o">=</span> <span class="n">load_cuda_module</span><span class="p">(</span><span class="s2">&quot;center_360_shifts&quot;</span><span class="p">)</span> + <span class="n">shift_whole_shifts</span> <span class="o">=</span> <span class="n">module</span><span class="o">.</span><span class="n">get_function</span><span class="p">(</span><span class="s2">&quot;shift_whole_shifts&quot;</span><span class="p">)</span> + <span class="c1"># note: we don&#39;t have to calculate the mean here, as we&#39;re only looking for minimum metric.</span> + <span class="c1"># The sum is enough.</span> + <span class="n">masked_sum_abs_kernel</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ReductionKernel</span><span class="p">(</span> + <span class="n">in_params</span><span class="o">=</span><span class="s2">&quot;complex64 x, uint16 mask&quot;</span><span class="p">,</span> <span class="c1"># input, complex + mask</span> + <span class="n">out_params</span><span class="o">=</span><span class="s2">&quot;float32 out&quot;</span><span class="p">,</span> <span class="c1"># output, real</span> + <span class="n">map_expr</span><span class="o">=</span><span class="s2">&quot;mask ? abs(x) : 0.0f&quot;</span><span class="p">,</span> + <span class="n">reduce_expr</span><span class="o">=</span><span class="s2">&quot;a + b&quot;</span><span class="p">,</span> + <span class="n">post_map_expr</span><span class="o">=</span><span class="s2">&quot;out = a&quot;</span><span class="p">,</span> + <span class="n">identity</span><span class="o">=</span><span class="s2">&quot;0.0f&quot;</span><span class="p">,</span> + <span class="n">reduce_type</span><span class="o">=</span><span class="s2">&quot;float&quot;</span><span class="p">,</span> + <span class="n">name</span><span class="o">=</span><span class="s2">&quot;masked_sum_abs&quot;</span><span class="p">,</span> + <span class="p">)</span> + + <span class="c1"># determine how many shifts we can fit in the available memory</span> + <span class="c1"># and iterate in chunks</span> + <span class="n">chunks</span> <span class="o">=</span> <span class="n">_calculate_chunks</span><span class="p">(</span> + <span class="n">nshifts</span><span class="p">,</span> <span class="p">(</span><span class="n">na1</span> <span class="o">+</span> <span class="n">na2</span><span class="p">)</span> <span class="o">*</span> <span class="n">sino2</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">()</span><span class="o">.</span><span class="n">nbytes</span> + <span class="p">)</span> + + <span class="n">mat</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">((</span><span class="n">chunks</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">na1</span> <span class="o">+</span> <span class="n">na2</span><span class="p">,</span> <span class="n">sino2</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">mat</span><span class="p">[:,</span> <span class="p">:</span><span class="n">na1</span><span class="p">,</span> <span class="p">:]</span> <span class="o">=</span> <span class="n">sino1</span> + <span class="c1"># explicitly create FFT plan here, so it&#39;s not cached and clearly re-used</span> + <span class="n">plan</span> <span class="o">=</span> <span class="n">get_fft_plan</span><span class="p">(</span><span class="n">mat</span><span class="p">,</span> <span class="n">mat</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">:],</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="n">value_type</span><span class="o">=</span><span class="s2">&quot;R2C&quot;</span><span class="p">)</span> + + <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">stop_idx</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">chunks</span><span class="p">):</span> + <span class="k">if</span> <span class="n">i</span> <span class="o">&gt;</span> <span class="mi">0</span><span class="p">:</span> + <span class="c1"># more than one iteration means we&#39;re tight on memory, so clear up freed blocks</span> + <span class="n">mat_freq</span> <span class="o">=</span> <span class="kc">None</span> + <span class="n">cp</span><span class="o">.</span><span class="n">get_default_memory_pool</span><span class="p">()</span><span class="o">.</span><span class="n">free_all_blocks</span><span class="p">()</span> + + <span class="n">start_idx</span> <span class="o">=</span> <span class="mi">0</span> <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="mi">0</span> <span class="k">else</span> <span class="n">chunks</span><span class="p">[</span><span class="n">i</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> + <span class="n">size</span> <span class="o">=</span> <span class="n">stop_idx</span> <span class="o">-</span> <span class="n">start_idx</span> + + <span class="c1"># first, handle the integer shifts without spline in a raw kernel,</span> + <span class="c1"># and shift in the sino3 one accordingly</span> + <span class="n">bx</span> <span class="o">=</span> <span class="mi">128</span> + <span class="n">gx</span> <span class="o">=</span> <span class="p">(</span><span class="n">sino3</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">bx</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="n">bx</span> + <span class="n">shift_whole_shifts</span><span class="p">(</span> + <span class="n">grid</span><span class="o">=</span><span class="p">(</span><span class="n">gx</span><span class="p">,</span> <span class="n">na2</span><span class="p">,</span> <span class="n">size</span><span class="p">),</span> <span class="c1">####</span> + <span class="n">block</span><span class="o">=</span><span class="p">(</span><span class="n">bx</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> + <span class="n">args</span><span class="o">=</span><span class="p">(</span> + <span class="n">sino2</span><span class="p">,</span> + <span class="n">sino3</span><span class="p">,</span> + <span class="n">list_shift</span><span class="p">[</span><span class="n">start_idx</span><span class="p">:</span><span class="n">stop_idx</span><span class="p">],</span> + <span class="n">mat</span><span class="p">[:,</span> <span class="n">na1</span><span class="p">:,</span> <span class="p">:],</span> + <span class="n">sino3</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> + <span class="n">na1</span> <span class="o">+</span> <span class="n">na2</span><span class="p">,</span> + <span class="p">),</span> + <span class="p">)</span> + + <span class="c1"># now we can only look at the spline shifting, the rest is done</span> + <span class="n">list_shift_host</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">(</span><span class="n">list_shift</span><span class="p">[</span><span class="n">start_idx</span><span class="p">:</span><span class="n">stop_idx</span><span class="p">])</span> + <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">list_shift_host</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]):</span> + <span class="n">shift_col</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">list_shift_host</span><span class="p">[</span><span class="n">i</span><span class="p">])</span> + <span class="k">if</span> <span class="ow">not</span> <span class="n">shift_col</span><span class="o">.</span><span class="n">is_integer</span><span class="p">():</span> + <span class="n">shifted</span> <span class="o">=</span> <span class="n">shift</span><span class="p">(</span><span class="n">sino2</span><span class="p">,</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">shift_col</span><span class="p">),</span> <span class="n">order</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">prefilter</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> + <span class="n">shift_int</span> <span class="o">=</span> <span class="n">round_up</span><span class="p">(</span><span class="n">shift_col</span><span class="p">)</span> + <span class="k">if</span> <span class="n">shift_int</span> <span class="o">&gt;=</span> <span class="mi">0</span><span class="p">:</span> + <span class="n">mat</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">na1</span><span class="p">:,</span> <span class="n">shift_int</span><span class="p">:]</span> <span class="o">=</span> <span class="n">shifted</span><span class="p">[:,</span> <span class="n">shift_int</span><span class="p">:]</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">mat</span><span class="p">[</span><span class="n">i</span><span class="p">,</span> <span class="n">na1</span><span class="p">:,</span> <span class="p">:</span><span class="n">shift_int</span><span class="p">]</span> <span class="o">=</span> <span class="n">shifted</span><span class="p">[:,</span> <span class="p">:</span><span class="n">shift_int</span><span class="p">]</span> + + <span class="c1"># stack and transform</span> + <span class="c1"># (we do the full sized mat FFT, even though the last chunk may be smaller, to</span> + <span class="c1"># make sure we can re-use the same FFT plan as before)</span> + <span class="n">mat_freq</span> <span class="o">=</span> <span class="n">rfft2</span><span class="p">(</span><span class="n">mat</span><span class="p">,</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="n">norm</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">plan</span><span class="o">=</span><span class="n">plan</span><span class="p">)</span> + <span class="n">masked_sum_abs_kernel</span><span class="p">(</span> + <span class="n">mat_freq</span><span class="p">[:</span><span class="n">size</span><span class="p">,</span> <span class="p">:,</span> <span class="p">:],</span> <span class="n">mask</span><span class="p">,</span> <span class="n">out</span><span class="o">=</span><span class="n">out</span><span class="p">[</span><span class="n">start_idx</span><span class="p">:</span><span class="n">stop_idx</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span> + <span class="p">)</span> + + +<span class="k">def</span> <span class="nf">_downsample</span><span class="p">(</span><span class="n">sino</span><span class="p">,</span> <span class="n">level</span><span class="p">,</span> <span class="n">axis</span><span class="p">):</span> + <span class="k">assert</span> <span class="n">sino</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="s2">&quot;single precision floating point input required&quot;</span> + <span class="k">assert</span> <span class="n">sino</span><span class="o">.</span><span class="n">flags</span><span class="p">[</span><span class="s2">&quot;C_CONTIGUOUS&quot;</span><span class="p">],</span> <span class="s2">&quot;list_shift must be C-contiguous&quot;</span> + + <span class="n">dx</span><span class="p">,</span> <span class="n">dz</span> <span class="o">=</span> <span class="n">sino</span><span class="o">.</span><span class="n">shape</span> + <span class="c1"># Determine the new size, dim, of the downsampled dimension</span> + <span class="n">dim</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">sino</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">axis</span><span class="p">]</span> <span class="o">/</span> <span class="n">math</span><span class="o">.</span><span class="n">pow</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="n">level</span><span class="p">))</span> + <span class="n">shape</span> <span class="o">=</span> <span class="p">[</span><span class="n">dx</span><span class="p">,</span> <span class="n">dz</span><span class="p">]</span> + <span class="n">shape</span><span class="p">[</span><span class="n">axis</span><span class="p">]</span> <span class="o">=</span> <span class="n">dim</span> + <span class="n">downsampled_data</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="s2">&quot;float32&quot;</span><span class="p">)</span> + + <span class="n">block_x</span> <span class="o">=</span> <span class="mi">8</span> + <span class="n">block_y</span> <span class="o">=</span> <span class="mi">8</span> + <span class="n">block_dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">block_x</span><span class="p">,</span> <span class="n">block_y</span><span class="p">)</span> + <span class="n">grid_x</span> <span class="o">=</span> <span class="p">(</span><span class="n">sino</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">block_x</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="n">block_x</span> + <span class="n">grid_y</span> <span class="o">=</span> <span class="p">(</span><span class="n">sino</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">block_y</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="o">//</span> <span class="n">block_y</span> + <span class="n">grid_dims</span> <span class="o">=</span> <span class="p">(</span><span class="n">grid_x</span><span class="p">,</span> <span class="n">grid_y</span><span class="p">)</span> + <span class="c1"># 8x8 thread-block, which means 16 &quot;lots&quot; of columns to downsample per</span> + <span class="c1"># thread-block; 4 bytes per float, so allocate 16*6 = 64 bytes of shared</span> + <span class="c1"># memeory per thread-block</span> + <span class="n">shared_mem_bytes</span> <span class="o">=</span> <span class="mi">64</span> + <span class="n">params</span> <span class="o">=</span> <span class="p">(</span><span class="n">sino</span><span class="p">,</span> <span class="n">dx</span><span class="p">,</span> <span class="n">dz</span><span class="p">,</span> <span class="n">level</span><span class="p">,</span> <span class="n">downsampled_data</span><span class="p">)</span> + <span class="n">module</span> <span class="o">=</span> <span class="n">load_cuda_module</span><span class="p">(</span><span class="s2">&quot;downsample_sino&quot;</span><span class="p">)</span> + <span class="n">kernel</span> <span class="o">=</span> <span class="n">module</span><span class="o">.</span><span class="n">get_function</span><span class="p">(</span><span class="s2">&quot;downsample_sino&quot;</span><span class="p">)</span> + <span class="n">kernel</span><span class="p">(</span><span class="n">grid_dims</span><span class="p">,</span> <span class="n">block_dims</span><span class="p">,</span> <span class="n">params</span><span class="p">,</span> <span class="n">shared_mem</span><span class="o">=</span><span class="n">shared_mem_bytes</span><span class="p">)</span> + <span class="k">return</span> <span class="n">downsampled_data</span> + + +<span class="c1">##%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%</span> +<span class="c1"># # %%%%%%%%%%%%%%%%%%%%%%%%%find_center_360%%%%%%%%%%%%%%%%%%%%%%%%%</span> +<span class="c1"># --- Center of rotation (COR) estimation method ---#</span> +<div class="viewcode-block" id="find_center_360"><a class="viewcode-back" href="../../../api/httomolibgpu.recon.rotation.html#httomolibgpu.recon.rotation.find_center_360">[docs]</a><span class="k">def</span> <span class="nf">find_center_360</span><span class="p">(</span> + <span class="n">data</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">ind</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">win_width</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">10</span><span class="p">,</span> + <span class="n">side</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Literal</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> + <span class="n">denoise</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> + <span class="n">norm</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> + <span class="n">use_overlap</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="nb">float</span><span class="p">,</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Literal</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">]],</span> <span class="nb">float</span><span class="p">]:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Find the center-of-rotation (COR) in a 360-degree scan and also an offset</span> +<span class="sd"> to perform data transformation from 360 to 180 degrees scan. See :cite:`vo2021data`.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> data : cp.ndarray</span> +<span class="sd"> 3D tomographic data as a Cupy array.</span> +<span class="sd"> ind : int, optional</span> +<span class="sd"> Index of the slice to be used for estimate the CoR and the overlap.</span> +<span class="sd"> win_width : int, optional</span> +<span class="sd"> Window width used for finding the overlap area.</span> +<span class="sd"> side : {None, 0, 1}, optional</span> +<span class="sd"> Overlap size. Only there options: None, 0, or 1. &quot;None&quot; corresponds</span> +<span class="sd"> to fully automated determination. &quot;0&quot; corresponds to the left side.</span> +<span class="sd"> &quot;1&quot; corresponds to the right side.</span> +<span class="sd"> denoise : bool, optional</span> +<span class="sd"> Apply the Gaussian filter if True.</span> +<span class="sd"> norm : bool, optional</span> +<span class="sd"> Apply the normalisation if True.</span> +<span class="sd"> use_overlap : bool, optional</span> +<span class="sd"> Use the combination of images in the overlap area for calculating</span> +<span class="sd"> correlation coefficients if True.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> cor : float</span> +<span class="sd"> Center-of-rotation.</span> +<span class="sd"> overlap : float</span> +<span class="sd"> Width of the overlap area between two halves of the sinogram.</span> +<span class="sd"> side : int</span> +<span class="sd"> Overlap side between two halves of the sinogram.</span> +<span class="sd"> overlap_position : float</span> +<span class="sd"> Position of the window in the first image giving the best</span> +<span class="sd"> correlation metric.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="k">if</span> <span class="n">data</span><span class="o">.</span><span class="n">ndim</span> <span class="o">!=</span> <span class="mi">3</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;A 3D array must be provided&quot;</span><span class="p">)</span> + + <span class="c1"># this method works with a 360-degree sinogram.</span> + <span class="k">if</span> <span class="n">ind</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span> + <span class="n">_sino</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">,</span> <span class="p">:]</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">_sino</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:,</span> <span class="n">ind</span><span class="p">,</span> <span class="p">:]</span> + + <span class="p">(</span><span class="n">nrow</span><span class="p">,</span> <span class="n">ncol</span><span class="p">)</span> <span class="o">=</span> <span class="n">_sino</span><span class="o">.</span><span class="n">shape</span> + <span class="n">nrow_180</span> <span class="o">=</span> <span class="n">nrow</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">+</span> <span class="mi">1</span> + <span class="n">sino_top</span> <span class="o">=</span> <span class="n">_sino</span><span class="p">[</span><span class="mi">0</span><span class="p">:</span><span class="n">nrow_180</span><span class="p">,</span> <span class="p">:]</span> + <span class="n">sino_bot</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">fliplr</span><span class="p">(</span><span class="n">_sino</span><span class="p">[</span><span class="o">-</span><span class="n">nrow_180</span><span class="p">:,</span> <span class="p">:])</span> + <span class="p">(</span><span class="n">overlap</span><span class="p">,</span> <span class="n">side</span><span class="p">,</span> <span class="n">overlap_position</span><span class="p">)</span> <span class="o">=</span> <span class="n">_find_overlap</span><span class="p">(</span> + <span class="n">sino_top</span><span class="p">,</span> <span class="n">sino_bot</span><span class="p">,</span> <span class="n">win_width</span><span class="p">,</span> <span class="n">side</span><span class="p">,</span> <span class="n">denoise</span><span class="p">,</span> <span class="n">norm</span><span class="p">,</span> <span class="n">use_overlap</span> + <span class="p">)</span> + <span class="k">if</span> <span class="n">side</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span> + <span class="n">cor</span> <span class="o">=</span> <span class="n">overlap</span> <span class="o">/</span> <span class="mf">2.0</span> <span class="o">-</span> <span class="mf">1.0</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">cor</span> <span class="o">=</span> <span class="n">ncol</span> <span class="o">-</span> <span class="n">overlap</span> <span class="o">/</span> <span class="mf">2.0</span> <span class="o">-</span> <span class="mf">1.0</span> + + <span class="k">return</span> <span class="n">cor</span><span class="p">,</span> <span class="n">overlap</span><span class="p">,</span> <span class="n">side</span><span class="p">,</span> <span class="n">overlap_position</span></div> + + +<span class="k">def</span> <span class="nf">_find_overlap</span><span class="p">(</span> + <span class="n">mat1</span><span class="p">,</span> <span class="n">mat2</span><span class="p">,</span> <span class="n">win_width</span><span class="p">,</span> <span class="n">side</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">denoise</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">use_overlap</span><span class="o">=</span><span class="kc">False</span> +<span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Find the overlap area and overlap side between two images (Ref. [1]) where</span> +<span class="sd"> the overlap side referring to the first image.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> mat1 : array_like</span> +<span class="sd"> 2D array. Projection image or sinogram image.</span> +<span class="sd"> mat2 : array_like</span> +<span class="sd"> 2D array. Projection image or sinogram image.</span> +<span class="sd"> win_width : int</span> +<span class="sd"> Width of the searching window.</span> +<span class="sd"> side : {None, 0, 1}, optional</span> +<span class="sd"> Only there options: None, 0, or 1. &quot;None&quot; corresponding to fully</span> +<span class="sd"> automated determination. &quot;0&quot; corresponding to the left side. &quot;1&quot;</span> +<span class="sd"> corresponding to the right side.</span> +<span class="sd"> denoise : bool, optional</span> +<span class="sd"> Apply the Gaussian filter if True.</span> +<span class="sd"> norm : bool, optional</span> +<span class="sd"> Apply the normalization if True.</span> +<span class="sd"> use_overlap : bool, optional</span> +<span class="sd"> Use the combination of images in the overlap area for calculating</span> +<span class="sd"> correlation coefficients if True.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> overlap : float</span> +<span class="sd"> Width of the overlap area between two images.</span> +<span class="sd"> side : int</span> +<span class="sd"> Overlap side between two images.</span> +<span class="sd"> overlap_position : float</span> +<span class="sd"> Position of the window in the first image giving the best</span> +<span class="sd"> correlation metric.</span> + +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">ncol1</span> <span class="o">=</span> <span class="n">mat1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> + <span class="n">ncol2</span> <span class="o">=</span> <span class="n">mat2</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> + <span class="n">win_width</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">win_width</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="nb">min</span><span class="p">(</span><span class="n">ncol1</span><span class="p">,</span> <span class="n">ncol2</span><span class="p">)</span> <span class="o">//</span> <span class="mi">2</span><span class="p">))</span> + + <span class="k">if</span> <span class="n">side</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span> + <span class="p">(</span><span class="n">list_metric</span><span class="p">,</span> <span class="n">offset</span><span class="p">)</span> <span class="o">=</span> <span class="n">_search_overlap</span><span class="p">(</span> + <span class="n">mat1</span><span class="p">,</span> + <span class="n">mat2</span><span class="p">,</span> + <span class="n">win_width</span><span class="p">,</span> + <span class="n">side</span><span class="o">=</span><span class="n">side</span><span class="p">,</span> + <span class="n">denoise</span><span class="o">=</span><span class="n">denoise</span><span class="p">,</span> + <span class="n">norm</span><span class="o">=</span><span class="n">norm</span><span class="p">,</span> + <span class="n">use_overlap</span><span class="o">=</span><span class="n">use_overlap</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">overlap_position</span> <span class="o">=</span> <span class="n">_calculate_curvature</span><span class="p">(</span><span class="n">list_metric</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span> + <span class="n">overlap_position</span> <span class="o">+=</span> <span class="n">offset</span> + <span class="n">overlap</span> <span class="o">=</span> <span class="n">ncol1</span> <span class="o">-</span> <span class="n">overlap_position</span> <span class="o">+</span> <span class="n">win_width</span> <span class="o">//</span> <span class="mi">2</span> + <span class="k">elif</span> <span class="n">side</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span> + <span class="p">(</span><span class="n">list_metric</span><span class="p">,</span> <span class="n">offset</span><span class="p">)</span> <span class="o">=</span> <span class="n">_search_overlap</span><span class="p">(</span> + <span class="n">mat1</span><span class="p">,</span> + <span class="n">mat2</span><span class="p">,</span> + <span class="n">win_width</span><span class="p">,</span> + <span class="n">side</span><span class="o">=</span><span class="n">side</span><span class="p">,</span> + <span class="n">denoise</span><span class="o">=</span><span class="n">denoise</span><span class="p">,</span> + <span class="n">norm</span><span class="o">=</span><span class="n">norm</span><span class="p">,</span> + <span class="n">use_overlap</span><span class="o">=</span><span class="n">use_overlap</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">overlap_position</span> <span class="o">=</span> <span class="n">_calculate_curvature</span><span class="p">(</span><span class="n">list_metric</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span> + <span class="n">overlap_position</span> <span class="o">+=</span> <span class="n">offset</span> + <span class="n">overlap</span> <span class="o">=</span> <span class="n">overlap_position</span> <span class="o">+</span> <span class="n">win_width</span> <span class="o">//</span> <span class="mi">2</span> + <span class="k">else</span><span class="p">:</span> + <span class="p">(</span><span class="n">list_metric1</span><span class="p">,</span> <span class="n">offset1</span><span class="p">)</span> <span class="o">=</span> <span class="n">_search_overlap</span><span class="p">(</span> + <span class="n">mat1</span><span class="p">,</span> + <span class="n">mat2</span><span class="p">,</span> + <span class="n">win_width</span><span class="p">,</span> + <span class="n">side</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> + <span class="n">denoise</span><span class="o">=</span><span class="n">denoise</span><span class="p">,</span> + <span class="n">norm</span><span class="o">=</span><span class="n">norm</span><span class="p">,</span> + <span class="n">use_overlap</span><span class="o">=</span><span class="n">use_overlap</span><span class="p">,</span> + <span class="p">)</span> + <span class="p">(</span><span class="n">list_metric2</span><span class="p">,</span> <span class="n">offset2</span><span class="p">)</span> <span class="o">=</span> <span class="n">_search_overlap</span><span class="p">(</span> + <span class="n">mat1</span><span class="p">,</span> + <span class="n">mat2</span><span class="p">,</span> + <span class="n">win_width</span><span class="p">,</span> + <span class="n">side</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> + <span class="n">denoise</span><span class="o">=</span><span class="n">denoise</span><span class="p">,</span> + <span class="n">norm</span><span class="o">=</span><span class="n">norm</span><span class="p">,</span> + <span class="n">use_overlap</span><span class="o">=</span><span class="n">use_overlap</span><span class="p">,</span> + <span class="p">)</span> + + <span class="p">(</span><span class="n">curvature1</span><span class="p">,</span> <span class="n">overlap_position1</span><span class="p">)</span> <span class="o">=</span> <span class="n">_calculate_curvature</span><span class="p">(</span><span class="n">list_metric1</span><span class="p">)</span> + <span class="n">overlap_position1</span> <span class="o">+=</span> <span class="n">offset1</span> + <span class="p">(</span><span class="n">curvature2</span><span class="p">,</span> <span class="n">overlap_position2</span><span class="p">)</span> <span class="o">=</span> <span class="n">_calculate_curvature</span><span class="p">(</span><span class="n">list_metric2</span><span class="p">)</span> + <span class="n">overlap_position2</span> <span class="o">+=</span> <span class="n">offset2</span> + + <span class="k">if</span> <span class="n">curvature1</span> <span class="o">&gt;</span> <span class="n">curvature2</span><span class="p">:</span> + <span class="n">side</span> <span class="o">=</span> <span class="mi">1</span> + <span class="n">overlap_position</span> <span class="o">=</span> <span class="n">overlap_position1</span> + <span class="n">overlap</span> <span class="o">=</span> <span class="n">ncol1</span> <span class="o">-</span> <span class="n">overlap_position</span> <span class="o">+</span> <span class="n">win_width</span> <span class="o">//</span> <span class="mi">2</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">side</span> <span class="o">=</span> <span class="mi">0</span> + <span class="n">overlap_position</span> <span class="o">=</span> <span class="n">overlap_position2</span> + <span class="n">overlap</span> <span class="o">=</span> <span class="n">overlap_position</span> <span class="o">+</span> <span class="n">win_width</span> <span class="o">//</span> <span class="mi">2</span> + + <span class="k">return</span> <span class="n">overlap</span><span class="p">,</span> <span class="n">side</span><span class="p">,</span> <span class="n">overlap_position</span> + + +<span class="k">def</span> <span class="nf">_search_overlap</span><span class="p">(</span> + <span class="n">mat1</span><span class="p">,</span> <span class="n">mat2</span><span class="p">,</span> <span class="n">win_width</span><span class="p">,</span> <span class="n">side</span><span class="p">,</span> <span class="n">denoise</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">norm</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">use_overlap</span><span class="o">=</span><span class="kc">False</span> +<span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Calculate the correlation metrics between a rectangular region, defined</span> +<span class="sd"> by the window width, on the utmost left/right side of image 2 and the</span> +<span class="sd"> same size region in image 1 where the region is slided across image 1.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> mat1 : array_like</span> +<span class="sd"> 2D array. Projection image or sinogram image.</span> +<span class="sd"> mat2 : array_like</span> +<span class="sd"> 2D array. Projection image or sinogram image.</span> +<span class="sd"> win_width : int</span> +<span class="sd"> Width of the searching window.</span> +<span class="sd"> side : {0, 1}</span> +<span class="sd"> Only two options: 0 or 1. It is used to indicate the overlap side</span> +<span class="sd"> respects to image 1. &quot;0&quot; corresponds to the left side. &quot;1&quot; corresponds</span> +<span class="sd"> to the right side.</span> +<span class="sd"> denoise : bool, optional</span> +<span class="sd"> Apply the Gaussian filter if True.</span> +<span class="sd"> norm : bool, optional</span> +<span class="sd"> Apply the normalization if True.</span> +<span class="sd"> use_overlap : bool, optional</span> +<span class="sd"> Use the combination of images in the overlap area for calculating</span> +<span class="sd"> correlation coefficients if True.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> list_metric : array_like</span> +<span class="sd"> 1D array. List of the correlation metrics.</span> +<span class="sd"> offset : int</span> +<span class="sd"> Initial position of the searching window where the position</span> +<span class="sd"> corresponds to the center of the window.</span> +<span class="sd"> &quot;&quot;&quot;</span> + + <span class="k">if</span> <span class="n">denoise</span> <span class="ow">is</span> <span class="kc">True</span><span class="p">:</span> + <span class="c1"># note: the filtering makes the output contiguous</span> + <span class="n">mat1</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span><span class="n">mat1</span><span class="p">,</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;reflect&quot;</span><span class="p">)</span> + <span class="n">mat2</span> <span class="o">=</span> <span class="n">gaussian_filter</span><span class="p">(</span><span class="n">mat2</span><span class="p">,</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;reflect&quot;</span><span class="p">)</span> + <span class="k">else</span><span class="p">:</span> + <span class="n">mat1</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ascontiguousarray</span><span class="p">(</span><span class="n">mat1</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + <span class="n">mat2</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">ascontiguousarray</span><span class="p">(</span><span class="n">mat2</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + + <span class="p">(</span><span class="n">nrow1</span><span class="p">,</span> <span class="n">ncol1</span><span class="p">)</span> <span class="o">=</span> <span class="n">mat1</span><span class="o">.</span><span class="n">shape</span> + <span class="p">(</span><span class="n">nrow2</span><span class="p">,</span> <span class="n">ncol2</span><span class="p">)</span> <span class="o">=</span> <span class="n">mat2</span><span class="o">.</span><span class="n">shape</span> + + <span class="k">if</span> <span class="n">nrow1</span> <span class="o">!=</span> <span class="n">nrow2</span><span class="p">:</span> + <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">&quot;Two images are not at the same height!!!&quot;</span><span class="p">)</span> + + <span class="n">win_width</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">win_width</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="nb">min</span><span class="p">(</span><span class="n">ncol1</span><span class="p">,</span> <span class="n">ncol2</span><span class="p">)</span> <span class="o">//</span> <span class="mi">2</span> <span class="o">-</span> <span class="mi">1</span><span class="p">))</span> + <span class="n">offset</span> <span class="o">=</span> <span class="n">win_width</span> <span class="o">//</span> <span class="mi">2</span> + <span class="n">win_width</span> <span class="o">=</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">offset</span> <span class="c1"># Make it even</span> + + <span class="n">list_metric</span> <span class="o">=</span> <span class="n">_calc_metrics</span><span class="p">(</span><span class="n">mat1</span><span class="p">,</span> <span class="n">mat2</span><span class="p">,</span> <span class="n">win_width</span><span class="p">,</span> <span class="n">side</span><span class="p">,</span> <span class="n">use_overlap</span><span class="p">,</span> <span class="n">norm</span><span class="p">)</span> + + <span class="n">min_metric</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">list_metric</span><span class="p">)</span> + <span class="k">if</span> <span class="n">min_metric</span> <span class="o">!=</span> <span class="mf">0.0</span><span class="p">:</span> + <span class="n">list_metric</span> <span class="o">/=</span> <span class="n">min_metric</span> + + <span class="k">return</span> <span class="n">list_metric</span><span class="p">,</span> <span class="n">offset</span> + + +<span class="k">def</span> <span class="nf">_calc_metrics</span><span class="p">(</span><span class="n">mat1</span><span class="p">,</span> <span class="n">mat2</span><span class="p">,</span> <span class="n">win_width</span><span class="p">,</span> <span class="n">side</span><span class="p">,</span> <span class="n">use_overlap</span><span class="p">,</span> <span class="n">norm</span><span class="p">):</span> + <span class="k">assert</span> <span class="n">mat1</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="s2">&quot;only float32 supported&quot;</span> + <span class="k">assert</span> <span class="n">mat2</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="s2">&quot;only float32 supported&quot;</span> + <span class="k">assert</span> <span class="n">mat1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">==</span> <span class="n">mat2</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> + <span class="k">assert</span> <span class="n">mat1</span><span class="o">.</span><span class="n">flags</span><span class="o">.</span><span class="n">c_contiguous</span><span class="p">,</span> <span class="s2">&quot;only contiguos arrays supported&quot;</span> + <span class="k">assert</span> <span class="n">mat2</span><span class="o">.</span><span class="n">flags</span><span class="o">.</span><span class="n">c_contiguous</span><span class="p">,</span> <span class="s2">&quot;only contiguos arrays supported&quot;</span> + + <span class="n">_calc_metrics_module</span> <span class="o">=</span> <span class="n">load_cuda_module</span><span class="p">(</span> + <span class="s2">&quot;calc_metrics&quot;</span><span class="p">,</span> + <span class="n">name_expressions</span><span class="o">=</span><span class="p">[</span> + <span class="s2">&quot;calc_metrics_kernel&lt;false, false&gt;&quot;</span><span class="p">,</span> + <span class="s2">&quot;calc_metrics_kernel&lt;true, false&gt;&quot;</span><span class="p">,</span> + <span class="s2">&quot;calc_metrics_kernel&lt;false, true&gt;&quot;</span><span class="p">,</span> + <span class="s2">&quot;calc_metrics_kernel&lt;true, true&gt;&quot;</span><span class="p">,</span> + <span class="p">],</span> + <span class="n">options</span><span class="o">=</span><span class="p">(</span><span class="s2">&quot;--maxrregcount=32&quot;</span><span class="p">,),</span> + <span class="p">)</span> + + <span class="n">num_pos</span> <span class="o">=</span> <span class="n">mat1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">win_width</span> + <span class="n">list_metric</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">empty</span><span class="p">(</span><span class="n">num_pos</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">cp</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> + + <span class="n">args</span> <span class="o">=</span> <span class="p">(</span> + <span class="n">mat1</span><span class="p">,</span> + <span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">(</span><span class="n">mat1</span><span class="o">.</span><span class="n">strides</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">/</span> <span class="n">mat1</span><span class="o">.</span><span class="n">strides</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span> + <span class="n">mat2</span><span class="p">,</span> + <span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">(</span><span class="n">mat2</span><span class="o">.</span><span class="n">strides</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">/</span> <span class="n">mat2</span><span class="o">.</span><span class="n">strides</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span> + <span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">(</span><span class="n">win_width</span><span class="p">),</span> + <span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">(</span><span class="n">mat1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> + <span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">(</span><span class="n">side</span><span class="p">),</span> + <span class="n">list_metric</span><span class="p">,</span> + <span class="p">)</span> + <span class="n">block</span> <span class="o">=</span> <span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> + <span class="n">grid</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">(</span><span class="n">num_pos</span><span class="p">),</span> <span class="mi">1</span><span class="p">)</span> + <span class="n">smem</span> <span class="o">=</span> <span class="n">block</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="mi">4</span> <span class="o">*</span> <span class="mi">6</span> <span class="k">if</span> <span class="n">use_overlap</span> <span class="k">else</span> <span class="n">block</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="mi">4</span> <span class="o">*</span> <span class="mi">3</span> + <span class="n">bool2str</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="s2">&quot;true&quot;</span> <span class="k">if</span> <span class="n">x</span> <span class="ow">is</span> <span class="kc">True</span> <span class="k">else</span> <span class="s2">&quot;false&quot;</span> + <span class="n">calc_metrics</span> <span class="o">=</span> <span class="n">_calc_metrics_module</span><span class="o">.</span><span class="n">get_function</span><span class="p">(</span> + <span class="sa">f</span><span class="s2">&quot;calc_metrics_kernel&lt;</span><span class="si">{</span><span class="n">bool2str</span><span class="p">(</span><span class="n">norm</span><span class="p">)</span><span class="si">}</span><span class="s2">, </span><span class="si">{</span><span class="n">bool2str</span><span class="p">(</span><span class="n">use_overlap</span><span class="p">)</span><span class="si">}</span><span class="s2">&gt;&quot;</span> + <span class="p">)</span> + <span class="n">calc_metrics</span><span class="p">(</span><span class="n">grid</span><span class="o">=</span><span class="n">grid</span><span class="p">,</span> <span class="n">block</span><span class="o">=</span><span class="n">block</span><span class="p">,</span> <span class="n">args</span><span class="o">=</span><span class="n">args</span><span class="p">,</span> <span class="n">shared_mem</span><span class="o">=</span><span class="n">smem</span><span class="p">)</span> + + <span class="k">return</span> <span class="n">list_metric</span> + + +<span class="k">def</span> <span class="nf">_calculate_curvature</span><span class="p">(</span><span class="n">list_metric</span><span class="p">):</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span> +<span class="sd"> Calculate the curvature of a fitted curve going through the minimum</span> +<span class="sd"> value of a metric list.</span> + +<span class="sd"> Parameters</span> +<span class="sd"> ----------</span> +<span class="sd"> list_metric : array_like</span> +<span class="sd"> 1D array. List of metrics.</span> + +<span class="sd"> Returns</span> +<span class="sd"> -------</span> +<span class="sd"> curvature : float</span> +<span class="sd"> Quadratic coefficient of the parabola fitting.</span> +<span class="sd"> min_pos : float</span> +<span class="sd"> Position of the minimum value with sub-pixel accuracy.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">radi</span> <span class="o">=</span> <span class="mi">2</span> + <span class="n">num_metric</span> <span class="o">=</span> <span class="n">list_metric</span><span class="o">.</span><span class="n">size</span> + <span class="n">min_metric_idx</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">cp</span><span class="o">.</span><span class="n">argmin</span><span class="p">(</span><span class="n">list_metric</span><span class="p">))</span> + <span class="n">min_pos</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">min_metric_idx</span><span class="p">,</span> <span class="n">radi</span><span class="p">,</span> <span class="n">num_metric</span> <span class="o">-</span> <span class="n">radi</span> <span class="o">-</span> <span class="mi">1</span><span class="p">))</span> + + <span class="c1"># work mostly on CPU here - we have very small arrays here</span> + <span class="n">list1</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">(</span><span class="n">list_metric</span><span class="p">[</span><span class="n">min_pos</span> <span class="o">-</span> <span class="n">radi</span> <span class="p">:</span> <span class="n">min_pos</span> <span class="o">+</span> <span class="n">radi</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span> + <span class="n">afact1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">polyfit</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">2</span> <span class="o">*</span> <span class="n">radi</span> <span class="o">+</span> <span class="mi">1</span><span class="p">),</span> <span class="n">list1</span><span class="p">,</span> <span class="mi">2</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span> + <span class="n">list2</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">asnumpy</span><span class="p">(</span><span class="n">list_metric</span><span class="p">[</span><span class="n">min_pos</span> <span class="o">-</span> <span class="mi">1</span> <span class="p">:</span> <span class="n">min_pos</span> <span class="o">+</span> <span class="mi">2</span><span class="p">])</span> + <span class="p">(</span><span class="n">afact2</span><span class="p">,</span> <span class="n">bfact2</span><span class="p">,</span> <span class="n">_</span><span class="p">)</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">polyfit</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">min_pos</span> <span class="o">-</span> <span class="mi">1</span><span class="p">,</span> <span class="n">min_pos</span> <span class="o">+</span> <span class="mi">2</span><span class="p">),</span> <span class="n">list2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span> + + <span class="n">curvature</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">afact1</span><span class="p">)</span> + <span class="k">if</span> <span class="n">afact2</span> <span class="o">!=</span> <span class="mf">0.0</span><span class="p">:</span> + <span class="n">num</span> <span class="o">=</span> <span class="o">-</span><span class="n">bfact2</span> <span class="o">/</span> <span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">afact2</span><span class="p">)</span> + <span class="k">if</span> <span class="p">(</span><span class="n">num</span> <span class="o">&gt;=</span> <span class="n">min_pos</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span><span class="n">num</span> <span class="o">&lt;=</span> <span class="n">min_pos</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):</span> + <span class="n">min_pos</span> <span class="o">=</span> <span class="n">num</span> + + <span class="k">return</span> <span class="n">curvature</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">(</span><span class="n">min_pos</span><span class="p">)</span> + + +<span class="c1"># %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%</span> + + +<span class="c1">## %%%%%%%%%%%%%%%%%%%%%%find_center_pc%%%%%%%%%%%%%%%%%%%%%%%%%%%%</span> +<div class="viewcode-block" id="find_center_pc"><a class="viewcode-back" href="../../../api/httomolibgpu.recon.rotation.html#httomolibgpu.recon.rotation.find_center_pc">[docs]</a><span class="k">def</span> <span class="nf">find_center_pc</span><span class="p">(</span> + <span class="n">proj1</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">proj2</span><span class="p">:</span> <span class="n">cp</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> + <span class="n">tol</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span> + <span class="n">rotc_guess</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> +<span class="p">)</span> <span class="o">-&gt;</span> <span class="nb">float</span><span class="p">:</span> +<span class="w"> </span><span class="sd">&quot;&quot;&quot;Find rotation axis location by finding the offset between the first</span> +<span class="sd"> projection and a mirrored projection 180 degrees apart using</span> +<span class="sd"> phase correlation in Fourier space.</span> +<span class="sd"> The `phase_cross_correlation` function uses cross-correlation in Fourier</span> +<span class="sd"> space, optionally employing an upsampled matrix-multiplication DFT to</span> +<span class="sd"> achieve arbitrary subpixel precision. See :cite:`guizar2008efficient`.</span> + +<span class="sd"> Args:</span> +<span class="sd"> proj1 (cp.ndarray): Projection from the 0th degree angle.</span> +<span class="sd"> proj2 (cp.ndarray): Projection from the 180th degree angle.</span> +<span class="sd"> tol (float, optional): Subpixel accuracy. Defaults to 0.5.</span> +<span class="sd"> rotc_guess (float, optional): Initial guess value for the rotation center. Defaults to None.</span> + +<span class="sd"> Returns:</span> +<span class="sd"> float: Rotation axis location.</span> +<span class="sd"> &quot;&quot;&quot;</span> + <span class="n">imgshift</span> <span class="o">=</span> <span class="mf">0.0</span> <span class="k">if</span> <span class="n">rotc_guess</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">rotc_guess</span> <span class="o">-</span> <span class="p">(</span><span class="n">proj1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="mf">1.0</span><span class="p">)</span> <span class="o">/</span> <span class="mf">2.0</span> + + <span class="n">proj1</span> <span class="o">=</span> <span class="n">shift</span><span class="p">(</span><span class="n">proj1</span><span class="p">,</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="n">imgshift</span><span class="p">],</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;constant&quot;</span><span class="p">,</span> <span class="n">cval</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> + <span class="n">proj2</span> <span class="o">=</span> <span class="n">shift</span><span class="p">(</span><span class="n">proj2</span><span class="p">,</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="n">imgshift</span><span class="p">],</span> <span class="n">mode</span><span class="o">=</span><span class="s2">&quot;constant&quot;</span><span class="p">,</span> <span class="n">cval</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span> + + <span class="c1"># create reflection of second projection</span> + <span class="n">proj2</span> <span class="o">=</span> <span class="n">cp</span><span class="o">.</span><span class="n">fliplr</span><span class="p">(</span><span class="n">proj2</span><span class="p">)</span> + + <span class="c1"># do phase cross correlation between two images</span> + <span class="n">shiftr</span> <span class="o">=</span> <span class="n">phase_cross_correlation</span><span class="p">(</span> + <span class="n">reference_image</span><span class="o">=</span><span class="n">proj1</span><span class="o">.</span><span class="n">get</span><span class="p">(),</span> <span class="n">moving_image</span><span class="o">=</span><span class="n">proj2</span><span class="o">.</span><span class="n">get</span><span class="p">(),</span> <span class="n">upsample_factor</span><span class="o">=</span><span class="mf">1.0</span> <span class="o">/</span> <span class="n">tol</span> + <span class="p">)</span> + + <span class="c1"># Compute center of rotation as the center of first image and the</span> + <span class="c1"># registered translation with the second image</span> + <span class="n">center</span> <span class="o">=</span> <span class="p">(</span><span class="n">proj1</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">shiftr</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="mf">1.0</span><span class="p">)</span> <span class="o">/</span> <span class="mf">2.0</span> + + <span class="k">return</span> <span class="n">center</span> <span class="o">+</span> <span class="n">imgshift</span></div> + + +<span class="c1">##%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%</span> +</pre></div> + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> 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href="../examples/pipeline1_FBP.html">Example 1 (FBP and Fourier)</a></li> +<li class="toctree-l1"><a class="reference internal" href="../examples/pipeline2_iterative.html">Example 2 (Iterative Rec)</a></li> +<li class="toctree-l1"><a class="reference internal" href="../examples/Cor_largesino.html">Example 4 (real data)</a></li> +<li class="toctree-l1"><a class="reference internal" href="../examples/DistortionCorr.html">Example 3 (Distortion corr)</a></li> +</ul> + + </div> +</nav></div> + </div> + + + <div class="sidebar-primary-items__end sidebar-primary__section"> + </div> + + <div id="rtd-footer-container"></div> + + + </div> + + <main id="main-content" class="bd-main"> + + + +<div class="sbt-scroll-pixel-helper"></div> + + <div class="bd-content"> + <div class="bd-article-container"> + + <div class="bd-header-article"> +<div class="header-article-items header-article__inner"> + + <div class="header-article-items__start"> + + <div class="header-article-item"><label 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b/_sources/api/httomolibgpu.cuda_kernels.rst @@ -0,0 +1,10 @@ +httomolibgpu.cuda\_kernels package +================================== + +Module contents +--------------- + +.. automodule:: httomolibgpu.cuda_kernels + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/httomolibgpu.cupywrapper.rst b/_sources/api/httomolibgpu.cupywrapper.rst new file mode 100644 index 00000000..ef45900d --- /dev/null +++ b/_sources/api/httomolibgpu.cupywrapper.rst @@ -0,0 +1,6 @@ +:mod:`httomolibgpu.cupywrapper` +============================================ +.. automodule:: httomolibgpu.cupywrapper + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file diff --git a/_sources/api/httomolibgpu.misc.corr.rst b/_sources/api/httomolibgpu.misc.corr.rst new file mode 100644 index 00000000..dd0ef71b --- /dev/null +++ b/_sources/api/httomolibgpu.misc.corr.rst @@ -0,0 +1,6 @@ +:mod:`httomolibgpu.misc.corr` +============================================ +.. automodule:: httomolibgpu.misc.corr + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file diff --git a/_sources/api/httomolibgpu.misc.morph.rst b/_sources/api/httomolibgpu.misc.morph.rst new file mode 100644 index 00000000..e30702e8 --- /dev/null +++ b/_sources/api/httomolibgpu.misc.morph.rst @@ -0,0 +1,6 @@ +:mod:`httomolibgpu.misc.morph` +============================================ +.. automodule:: httomolibgpu.misc.morph + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file diff --git a/_sources/api/httomolibgpu.misc.rescale.rst b/_sources/api/httomolibgpu.misc.rescale.rst new file mode 100644 index 00000000..b9596df3 --- /dev/null +++ b/_sources/api/httomolibgpu.misc.rescale.rst @@ -0,0 +1,6 @@ +:mod:`httomolibgpu.misc.rescale` +============================================ +.. automodule:: httomolibgpu.misc.rescale + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file diff --git a/_sources/api/httomolibgpu.misc.rst b/_sources/api/httomolibgpu.misc.rst new file mode 100644 index 00000000..7a15a0ce --- /dev/null +++ b/_sources/api/httomolibgpu.misc.rst @@ -0,0 +1,20 @@ +httomolibgpu.misc package +========================= + +Submodules +---------- + +.. toctree:: + :maxdepth: 4 + + httomolibgpu.misc.corr + httomolibgpu.misc.morph + httomolibgpu.misc.rescale + +Module contents +--------------- + +.. automodule:: httomolibgpu.misc + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/httomolibgpu.prep.alignment.rst b/_sources/api/httomolibgpu.prep.alignment.rst new file mode 100644 index 00000000..c6ff5347 --- /dev/null +++ b/_sources/api/httomolibgpu.prep.alignment.rst @@ -0,0 +1,6 @@ +:mod:`httomolibgpu.prep.alignment` +============================================ +.. automodule:: httomolibgpu.prep.alignment + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file diff --git a/_sources/api/httomolibgpu.prep.normalize.rst b/_sources/api/httomolibgpu.prep.normalize.rst new file mode 100644 index 00000000..e4e4e3b1 --- /dev/null +++ b/_sources/api/httomolibgpu.prep.normalize.rst @@ -0,0 +1,6 @@ +:mod:`httomolibgpu.prep.normalize` +============================================ +.. automodule:: httomolibgpu.prep.normalize + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file diff --git a/_sources/api/httomolibgpu.prep.phase.rst b/_sources/api/httomolibgpu.prep.phase.rst new file mode 100644 index 00000000..d1c52c68 --- /dev/null +++ b/_sources/api/httomolibgpu.prep.phase.rst @@ -0,0 +1,6 @@ +:mod:`httomolibgpu.prep.phase` +============================================ +.. automodule:: httomolibgpu.prep.phase + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file diff --git a/_sources/api/httomolibgpu.prep.rst b/_sources/api/httomolibgpu.prep.rst new file mode 100644 index 00000000..7bd4d347 --- /dev/null +++ b/_sources/api/httomolibgpu.prep.rst @@ -0,0 +1,21 @@ +httomolibgpu.prep package +========================= + +Submodules +---------- + +.. toctree:: + :maxdepth: 4 + + httomolibgpu.prep.alignment + httomolibgpu.prep.normalize + httomolibgpu.prep.phase + httomolibgpu.prep.stripe + +Module contents +--------------- + +.. automodule:: httomolibgpu.prep + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/httomolibgpu.prep.stripe.rst b/_sources/api/httomolibgpu.prep.stripe.rst new file mode 100644 index 00000000..6a7c23d3 --- /dev/null +++ b/_sources/api/httomolibgpu.prep.stripe.rst @@ -0,0 +1,6 @@ +:mod:`httomolibgpu.prep.stripe` +============================================ +.. automodule:: httomolibgpu.prep.stripe + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file diff --git a/_sources/api/httomolibgpu.recon.algorithm.rst b/_sources/api/httomolibgpu.recon.algorithm.rst new file mode 100644 index 00000000..5cbac0a0 --- /dev/null +++ b/_sources/api/httomolibgpu.recon.algorithm.rst @@ -0,0 +1,6 @@ +:mod:`httomolibgpu.recon.algorithm` +============================================ +.. automodule:: httomolibgpu.recon.algorithm + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file diff --git a/_sources/api/httomolibgpu.recon.rotation.rst b/_sources/api/httomolibgpu.recon.rotation.rst new file mode 100644 index 00000000..6546fb97 --- /dev/null +++ b/_sources/api/httomolibgpu.recon.rotation.rst @@ -0,0 +1,6 @@ +:mod:`httomolibgpu.recon.rotation` +============================================ +.. automodule:: httomolibgpu.recon.rotation + :members: + :undoc-members: + :show-inheritance: \ No newline at end of file diff --git a/_sources/api/httomolibgpu.recon.rst b/_sources/api/httomolibgpu.recon.rst new file mode 100644 index 00000000..de75d216 --- /dev/null +++ b/_sources/api/httomolibgpu.recon.rst @@ -0,0 +1,19 @@ +httomolibgpu.recon package +========================== + +Submodules +---------- + +.. toctree:: + :maxdepth: 4 + + httomolibgpu.recon.algorithm + httomolibgpu.recon.rotation + +Module contents +--------------- + +.. automodule:: httomolibgpu.recon + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/api/httomolibgpu.rst b/_sources/api/httomolibgpu.rst new file mode 100644 index 00000000..07ef6fd6 --- /dev/null +++ b/_sources/api/httomolibgpu.rst @@ -0,0 +1,29 @@ +httomolibgpu package +==================== + +Subpackages +----------- + +.. toctree:: + :maxdepth: 4 + + httomolibgpu.cuda_kernels + httomolibgpu.misc + httomolibgpu.prep + httomolibgpu.recon + +Submodules +---------- + +.. toctree:: + :maxdepth: 4 + + httomolibgpu.cupywrapper + +Module contents +--------------- + +.. automodule:: httomolibgpu + :members: + :undoc-members: + :show-inheritance: diff --git a/_sources/bibliography/biblio.rst b/_sources/bibliography/biblio.rst new file mode 100644 index 00000000..c3497111 --- /dev/null +++ b/_sources/bibliography/biblio.rst @@ -0,0 +1,8 @@ +.. only:: html + + ************ + Bibliography + ************ + +.. bibliography:: references.bib + :style: plain diff --git a/_sources/examples/Cor_largesino.ipynb b/_sources/examples/Cor_largesino.ipynb new file mode 100644 index 00000000..384ae689 --- /dev/null +++ b/_sources/examples/Cor_largesino.ipynb @@ -0,0 +1,207 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6d3c78cb-9bed-4509-b41d-ce7880da8b20", + "metadata": {}, + "source": [ + "### Example 4 (real data)" + ] + }, + { + "cell_type": "markdown", + "id": "2e330fdd-2130-4f85-b5c7-7a45c460eaa5", + "metadata": {}, + "source": [ + "#### This example shows how to use methods from the HTTomolibgpy library to do the following:\n", + "* calculate the centre of rotation using the Vo Centering method for large real data\n", + "* remove stripes using remove all stripes method\n", + "* reconstruct using the FBP algorithm" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2e24c0a6-2501-4e3b-b27c-713dd4f8bf3c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The shape of the sinogram is (3601, 2560)\n" + ] + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import scipy\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Load the sinogram data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(path_lib, \"..\", \"tests/test_data/\", \"3600proj_sino.npz\")\n", + ")\n", + "l_infile = np.load(in_file)\n", + "sinogram = l_infile[\"sinogram\"]\n", + "angles = l_infile[\"angles\"]\n", + "sinogram = cp.asarray(sinogram)\n", + "\n", + "print(\"The shape of the sinogram is {}\".format(cp.shape(sinogram)))" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f34e3db3-a4f6-49f2-b673-2fe83760c343", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.imshow(sinogram.get())\n", + "plt.title(\"Sinogram view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1b4ac4ef-5276-4373-9291-2238accd6c5d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finding the Center of Rotation for the reconstruction\n", + "WARNING!!!Global minimum is out of searching range\n", + "Please extend smax: 12.5\n", + "The found Center of Rotation is 1333.25\n" + ] + } + ], + "source": [ + "from httomolibgpu.recon.rotation import find_center_vo\n", + "\n", + "print(\"Finding the Center of Rotation for the reconstruction\")\n", + "cor = find_center_vo(sinogram)\n", + "print(\"The found Center of Rotation is {}\".format(cor))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9d150dc1-0fab-4048-b3f6-3cc788c7179f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Remove stripes using remove_all_stripe\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from httomolibgpu.prep.stripe import remove_all_stripe\n", + "\n", + "print(\"Remove stripes using remove_all_stripe\")\n", + "\n", + "sino3d = cp.ascontiguousarray(\n", + " cp.ones((sinogram.shape[0], 3, sinogram.shape[1])), dtype=cp.float32\n", + ")\n", + "sino3d[:, 1, :] = sinogram\n", + "\n", + "sino3d = remove_all_stripe(sino3d)\n", + "\n", + "plt.figure()\n", + "plt.imshow(sino3d[:, 1, :].get())\n", + "plt.title(\"Sinogram after stripes removal\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "275e446c-f9ae-4e6a-9620-62ad145a8370", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using FBP\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using FBP\")\n", + "from httomolibgpu.recon.algorithm import FBP\n", + "\n", + "reconFBP = FBP(sino3d, angles=angles, center=cor)\n", + "reconFBP_np = reconFBP.get()\n", + "\n", + "plt.figure()\n", + "plt.imshow(reconFBP_np[500:2000, 1, 500:2000], vmin=0, vmax=0.01)\n", + "plt.title(\"Reconstruction with FBP\")\n", + "plt.show()" + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/_sources/examples/DistortionCorr.ipynb b/_sources/examples/DistortionCorr.ipynb new file mode 100644 index 00000000..ce16d5dd --- /dev/null +++ b/_sources/examples/DistortionCorr.ipynb @@ -0,0 +1,110 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 3 (Distortion corr)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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hSsJKnoCk81amgVUPzyQ7PcNt055DkywO5SsJyAYp009QKaBg06+HqfUNc+/zZxE+InHBDasp11IULKdD+M9eOwOtNM+1kzZg2jIlapaHD89E+0U5yeuTvG/MWmTJRsHiP566kMo3LBbdvpZR/n5SZpDXh5vp+tYYuhaqXHfmK5SqGQqWxs92zmf0Dy3id+i8r3UdAalArxFDwaZXj6JJJmVqhoylcSRbzpHbW+lcFObfLl1OpZKkSy/n59sW0PbjHANfNvhgyxpylkbW8vPH+5bgH7I5/9aVlChZDFvlrXQtB742kY7zZe5a/AC78/WkTD9/eP1UqtapzP7wFtqCx8hafobNAE8/uIB8pc3nLnycQSMCwMr+cRx5ooXqCw9zYe12dFsB4J7tC6EzyBVnrqFcS1GjDLMvX8PvVp5O46RjXNawBd1WULDYl63l2S0nc+2c16jSkmQtH5Yts6JvHLJkc1b1Wxi2QkzJkDBDrOgbz/yKA5SqGdJmAJ+sE9ejDBtBxoe6xXNKmn5CSgHLlslYGjElR4mSRrdVOvKVNPvjmMgULI0SJc2gGUHBRpUMTJeGqGChSSYhuUDCDJKyAlSqSRJmiEo1yaARQZUMspYfTTJRJae1REzJsjdXS42WIGUF3PdMBvQIVdowhq0y2tfL7nw9WdPHxEAXR40ydFshKBcwbIWInGPYDBFWchQsTfx21vLjk3U0ySRr+ciYPqq1YTrylZSoWarVBBYypi3TWSinQk0jSRa2ex/8siHupfMMbDTJFPerrxBFlmx0WyEg6+iW80xLtQyWLRGSdQYNp49biZoVzzwoF9zz8xGQDHRbQZYsypQUuq0yaIbRJJOU6adUzVCupElaAfr0KBElT95SCck6kmQRlvOkLT9703WE1DwtgT4A0mYAE4nV8bFMih2j0T+AbctIksXT3VOJp8NcO2YjETnHoBlm2Ajy2KpTqZ3YyyWNb2DbMhEly0/2noH0aimnXL6N2SXtNKn9PNw/m82PnoSlwZVXvcwU/xFeSU7itZ5WYt8LceQmi5snr3KuwQpw/x/Pom5thjHf3Msp0YMMm2Ey7tjTJGfcSO6/vz44l9jdEeI3ZrlhzAYiSpaEGeKe9YuI7NNYcvlGRvkH8ck6Q0aIX69ZSLAuzfvb1ol1d0+mjvU9o2kr62NMqI9mfx+DZoRD2UrSho+JkWPimFE5y/5cLdXa8Qa4kmShYGHYKiYSli0TlPNkLT9BOY+JjG3L4j2frBOW82iSyaF8pTuuc0iSJfYNb67ptoJuy7T6+jiiOw2R67UBdufqCcoFKtQUw2YIn6yTtXwo2MiShWXLlCgZhs0QJs7+WKakGTZDyJIlfjsoF9AkU/xdsDRkyULBJmEG8MuG+M2Rr43S+ukoVOKXDVTJJG36kSWboFygYGnkLJVhM8iRbBlTo51iLZYki83DzWzraeCi0TuoUNMA5GyV3+6ejd4T4qoFa6nxJdBthWEjyINPn4GdzdF+151/s554/7COUGVlJYqivA396e3tfRtKBE4zxv/cuBCAB0Zx5HZoCmUJK2n25FvZ9MSpRLpM4p9P0+gbREVi0AjT9+OJ5EtlJn4oQcSfR7cV9gy1YN09mnVz25hxWZyQZGHYUV6Pjyd6VwlPf6CW209djm4HMS2NlZtn0vbbPM99cSbXNG+kVMlg6jL7nplCzesF9n91kJnRDvJWkBpJJ2P5UCU/UTlHwvSRl1R2D4xm7K8DvHLpbBad34FqZhi2y9na08bE3+is+dJkplQNoGIRMFXyOxsY+1qezjkNjA7EsWwfPstH3aoSCiUxolNlVNmPbiskc2W0rJRoj7YQHr+ZnO0DoDPeSNsqg52nj2ZObRcxKUufoRLtDaNmgFCIMl+OjBVGJkCs30c27cMIRVElHUUNoAMZI4QumUSUPKeUdVOrJvhZMIAUkQhFFYKqimrLzsZRoVFWmSMaldEkk5ii01STY++kCPU1/dihMLJk4pN1QjNzxMOl1JUWkKQgmq3R5k+y8T1B6kfH0YNRYoEMBdtmyZQjvHDzSZzbuh1/WEOSVOc+WRrVGCiShV+WaVaHmC71cfc36jin9CCN0RxdejUBP1wx+y1e/2ETl1bvQVKDBIEgJvNv2gXA2JIk+3M1xNQMc6LHiH5H5hzfMHGtmqhPol5JcOvSVxk4I0xIyaNKASplnaiV5+abX0S3FSQ5SMiWUbBYEu7A/4n9ROUsGctPwQoQU7J8at5rRGXHKT+Qr8Gv+mgM5fjCxc+hSBY5S0O2VWJKmoqSo4w9M0m5miJpBlFslVHaEGdH2ilX0ui2QsbyYUgKVXKe8yIHULAxCVGvOI5yOq8ywd9N2vJTsHyE5AKWqVCpGgyYYUKWSr0/R2ehipiSoSGUwyaMKlmogEGUKGDZCiYaKhCSC6TMMLZkkiZMUDLIGgHyikS5XCBvl6BYGmHFRrUk/LJN3gqQs1Wyso/WUIq8FaBcsrBsBVmSqLZ1FAIULB+yP0hzMM3ObBmxiE3WsDiQqySsDVOu5NDtIDFs8laEKvfehOQ8qiUBzvhXbJUauYBlh2mLDJO3NAwpSsoMEJILtEWGMZHJWz4SZpCoXCCiWMT1KkJKnlJJ50CuGsuWiATylGp52lOlABQslQklBwnJeTKWn4Cs80L/ZKZHDzNBHaRUyTBkhtiZbWTZoUlc1rqVGi1BiaSj2wr37llALuvjIyevJCDplNqwL1vHcytmYTVn+eS0lwlKJuWmzY/XnEdsp8rZ71/LzHA7u7IN9BRK2Hn3ycSnynz6sidJmQEqlRzf3nw2476XZ/VXK7hx7Bp0WyZlhkg920pFj0n/l6sI+AeJAnsStYx5QeJAySjkcbuJKDmq1QKZfBlNnQpJrQwpdIyD9mim1/axvtGPpYISCpDwVdLqS2EEe3n+vdM4feJOghEVUKmVC7ReeIzDC8q4sGoISQmR16OUK1nK1RR9RhQFiaQZoM4f51Mnv8br32+h1jeMIvtRFJs2ZZhPLl2NstRGkwxkycayNaKWzLcueoohM0TO1ghgo0ka40IJZteso1TJsC9fQ79VQ42WoDTqOImO8y5j2Sq2JBPzwaRQP29mR6FJpnAkfK4DokkGuh1AsXzYkkrEdXqSVgAFG90Okpf8WJJJUyhL3tKQJff38VGwVWee2TKKraAhEfPbDBUch6bdaKa2NE1UzhE3yojKBfyyhGw6DrJua0i2jKTYxLCxbImM5WPIDhKSC2QsH35Zp1zJ0l0oozNXxtRIJxHJIGfL6LbGE50n0z8c5qbJqwnJzr6UMf38YfMCJMXmlhkrifoholi8lWlgxR9nk5ygc/uCZ0mYGiHJ5Il9U4n9poQnbmjkw+NeRbZUdFthw7pptDyls/azk7mmaQMZywe2gtpeReVei6HFFTSEc9i2QsDUUIJ+LMd3+5vRWv7hydIzZ87k7rvvFq9NmjSJd73rXf+/ZOnh4WFisRiNP/l3Lp+/k8mho6QtP92FUp7tmEwiEeL6k9cTUvKE5AIKFj/YthTNZ/CpSS8TN6LCk/7ZttOpqUhwbdMGytUU+3O15G2V326cx7nTdjA22IuJREzJ8lamnie3TePck95kavgImmRiIvNUz8ns66ni/ZPWEVMy6LYzSEwkApKBX9ZJmEE0yUS3FR4+NJMpld0sLN1D0gwiSxZH82W81DWesxp2U6MNE1WyFGyVzclmDiYrOb92h7uxSYzSBniwZzayZHNe5Q6SZpCcrRJTsqxLjKHan6TRN4iJRKmSobNQzlvJOk4v24smmcSNKBElR69egmnLNPn76dVLqNaGsWyJw/kKyrQ0VWqSpBkEEJFrqZIhbfnJWD5q1AQDZoSApBOS8yTMMLqt4Hcj8cP5Cmq0YTTJICDr4nuaZBKVc84C5kZNuq1QpQ7TpZehYJOzVXRLpVx1IuWMu3FHlSxpy49ly+IZAtSqCdKWj4CsE5B0dFulSy9Dliwx8S0kNMkkouTE9wKSTsIM4Zd1SpWMuF5NMsjZGgq2+Dtj+cWGF5LzBGSdASOCiUS5kiZhhpxrU7LidW/86baK312EvHGQMf3UaAkADhcqqNaGxb0GsNzIM6ZkT/ied06mez1hOU9XoYyokhMRpHeeshttx/UoAfe56LbiIjh5evQYUSUnPg9ORFeupMX3vfNx7oNJxvIRlXPotirui3eepUqandlGWvx9FGyVXr2ERt8AAJ2FckJu1KpJxgkbSsbyIUsWUTlH0kWHLFsm4T6Pam2YhBGiUkui2wqrBsYxteQoZWqavKURkvNsGm7hUKqcc2p3ivuesfz8Zv8c6kqGeW/9Jnr0GJpksjXZyGvrJ3H2AgeBDcg6nYVy7n/hDGwVPnHmcvH8numdSvye0eSvHuCG1g1iDn7mxSupXS1x+RefY4K/G4AtmdE8f8dCemeq3P7eh9FtFROZb79+NuO/lSH+HYsPtr4mzu3+/ziP4IDFeV9aSau/l34zwsvxCQx+vZmOCxQ+vWSZ2Jy/+dp5lLzpY9G1Gzkl0s6AEUG3FX72p7Ox29LcOf1pDuarqdESrE2M5ZXNk7lgzhZmRDoo2E6w8GJ8Iv3ZEFc1bRJIXtIKsC05ijp/gnFBJziNyjkOFqpIGCFa/H0C/dNdhL1cTZGzNPHsS5UMA0YEv5h/CkkrQLMvzpAZxrIl9/sqsmSRtzR0W6FMTZMyA+i2Qp02SNIKijHtOEq2WHu8saHbClE5J84pY/koV9IMmGEUbPyyLuaAN5a885ZdpMY7l6iSJWkGSZoBYmoGTTLFuXlzwrumnK2J4wUkQ8w/BYsBI0K5mhKfBziUq6RSS4lr1CST7kKMvkKUUi1Dg3/QDSQCvNrfxsHBci5vfYNK1UGouvVSfrdqAWpVjhsmr0eTDcqVNC8PTGTv/RNILMpyx4xlpC0nEP7R5sU0PajAJ/t4d8NWAOJ6lD/98TRqNhcY89VdnFLSTsoMkLF8PPazxWDDpTetoE4bwkTmQK6aF+6bR2KyyS0LXyQk54kqOf7UO51tr7Vx0rz9LKncjYKFicyGRAubu0Zx2dit1GlDYp3bk6mlrxDhlJIOsX7Kkk3CDJIctvn63BdIJBKUlJT8t3v9X8P+oR2hP/7xj1x77bXce++9zJ07l5///Ofcd9997Ny5k+bm5v/2u54j9L1N81HDAeEVex69TzLExE+YQao1JwrUXDjfG8h+2ZmwAUkXiz44UH9UyYkBZtmy2ICjchbdVmnPVzEu0I1PMtmTq6PONySg6pQZEBOuWy+lThsiYToweZ02SEB2jtejx/DLutjYytUUpi2Rsfy056to8vej4DgfR/RyFGwB13sbLsCQGSJj+ompGeFYxPUoUSWHiURUzonNW7cVMWk9B8RzHMBZ6MrVFENmyE0HOBuW4xQ49yVnaeRsjYQRIm+r+F2IX5EsIkpOODmWLYt77G1WsmRToaTYn6/BtGUmBY/yZraRhBGkyT+AiYSCLRYmz5HTJFMsMN4zAoSz4i3GnlOYMY8jiHlLJW+pBBXdvUcGUSXLkBkib2m0+Htpz1eLf72Nx3uGnmPrOVC9eombgksTkAp0FioIKXlxnwHh9Oi2Qo2aIG6UiA20o1ApNgFALL7e/fecjYiSEwt6jx4j5KYvAXr0GJVaUtwf51yNExwfgICsE1Fy5C2NpBkgZfpp8veTMEOUqWkylo/9mRrCap4Wf58YBwNGmA0Do1lUtYdmX5y9uToq1SQv9U+kNxPlqlEbyVh+6rVBNqdH8/hb05g5+jCXVG1hyAwRkHX+cHQOB7c1cOHC12kL9lClDtNRqOT+P5xNbnKWj0xbJe7x7w/PQf9DDSU3dHJR7XbhYP3yD+cQGLC54OZXqdOGCMl5HuqejXFHFfuu9XP7Gc9g2RI5W+Pup8+l9bEUdT8+xMLSPfQZURJGiLWfncPABB833LiMgKQjSzY/2LGElq8b9HzV4gNj16JgkTBD/OH+M5EsuOr9LxJRcgQknbWJsey49ySUK3q5fexyfO74uGPXuxh+q4Irzl7j3juFzkI5f1g7l/rWOBc17CCuR6jUUhzNl7Js72Qun7iFBv+g2JS3JpvIWwpzYu2u8+c4DJuGWzgp2km5kiJulBBTMmLOeXPXc2S8eeCNI81ND4Zkp8BkwE1nenPRew55S6NMTWPZMlXqMMNWkAolxZ5cHY2+fpJWUKAinvPaY8QIuek9770BI0KllsSyJTF+/G4q1nNcndSrTwQieUsT55MwQkSVnIu+qFSpwwyZIQaMCDGXWgCItdtzwr056SB7eWeeGDF0S6XSTXdl3BRT0gwAEFVyIlgD2JetwS8b1PmGhPOt2woPH57BqTWHmBTqolRx7tHdh87gSHsVH5q3ikotSVjOsyXVzOObZqGkZW455znxDHam6tn+s5OIzza5deFyMad/9tZp1N/jo/0GmztOWQZA3Ijy+9+cSelBk5Nu38bYYC8RJceb6QY2/WAmw80yV1/5MppsEFOyrBwYz75fTiBxZoZbp70o1o7Hu6bRva6eqYv3clrZfgCSZoD1gy3s663i2vEbibk0iqic5bXhNgqWytllbzJsBUmYQQKSwYARplJLomCJcTVyHYoqOXffshwkWS6I5+k5SN6/3v7iIK5Oqs6fHeaWmRv/Zo7QP2xqDOCKK66gv7+fO++8k+7ubqZMmcKyZcv+f52gkWYiE5Z1ZMkirkdp9sdJmkEGrbCIeGNKVkyUqJKjs1COX9bJ2Soh8pQoWY7o5QCEpIJwkhQsMcBMJNLuBpex/GQsP5VakpztI2FqlLtRqWVLyJLDJUiYQaJajpiSJelyJnRbYcCMoFnOpKjREvQZUSw3b+tNVu83dFvBTQk7E8n045c1EaUXbBUFS0QbnvkkA012FkPvGkJyAROZhBlyFwNVvO6lVbxoXcZBFZAsMi7Po0JJcUQvp1xNkcZPr17iOAK2To9eQsCFZ8HZfBXbos+IEiJPxvYJJ3XADONzHSe/rHNMj1GnDVGmpt2IqZRKLUmNlsBEFs6iFw2WKyn3vgfFBC1Xh9mRGUVKDSBjO5GTmiYk59Ekg7BcIGkFKHVTRG9lG0iaAQKyTrMvTkehElmy6DNKxOLqbVQeYgEwaITxyzplapqEEeLVwXGMDvWLRdREZlemjt5chIXl+1CwCcg5DhcqeaZzCrOrO6hRE8iSRbWaZl1iDOsOj+aK8VuYHOykzygBW+FH2xZREs3w/jHrBFJyrFDC88/PYs7inZxdvhPddfS//MZFKO0Brr3oFcq1NDlbY3OymU2/mkZqYYaPn7yCEjnLfr2EX25aQP3zKlNu3cbUSCe6rRDXo2z60QwytRIfed+ThOQ8hwsV/Kl9KvVflfn17XP5t4lrqNOGANj7p3GU79LZ97UaWoN99BkltKcraPuhzrZ3j+P9711Dl15G0gqwf28dbY9k2XVyLQ3+Qdrz1QwYYSKdNoXSAKEZeQaMCJYsY9oSas5yx+Rx1C1ba2GEJKq1YXfM5plYcoxnzmumte2oGPOaZDJ2Tge7auo4J3qEnKU5Dq9vAOPT/ZxS2ouCzYARod43yPsmrmfdj1p5X+VusZZElByXXrcSgBotQcFWydkac2IHafrkAC3+Xg4WqsV8O3fULqKjc8T1CG9l6inTMjT5+3nXnC1uGlumUksRUzJkNB9fm/kkXXrZcVRFyXJabA8WMkkzSMZ1CmJqhtNK99JZKBcbs+fc5GWdKjXJMSNGjx6jxd9L3CgRKIvjXKjk3PldrqYYzIeJKVn8OM75kIucDOrO3M7YPgou6heVs3TkyqnUks78whLPI25EhUMWkHQU1+mOqRnh5HgcFt1WCCn5446Zu455wWbGctKWflkXSGaPHiNl+p21WS44qJOtcShfyY6hes6p2UmVmhRo6wMHTiHkL/CeUVswkUlaQY7kynnuxVm0zD7CBbU7hANy3+unEXvDxxk3bGRSqIu8pXE4X85rPzmFfJnE1e97kYCik7c1nuqaSuzfgzx5wwzGLOyjxypFkwyO7qph/B/SvDpuLJfUvUHa8lOhpYnuU9FSNomlIcrd4EaVTfSIhBQynDVYdsbo5Nputi9t49QxuwWiBdB20T56MlFagn0iEG0N9mF8citRNUe5mmLAiBBQC5xRvofRH+2n2jd8QtB9Sf1W5Mu2oHB83dJkg8WVu1lcufsEhyZulDAz2oGCJdKLMSXr8NuUvLhvGdNPSMmLcRhS8uRsFdm2SFlOajks50kYIXdf1cTa6fEGHW6UIp59ykV5/1b2D+0IAdx8883cfPPNf/H3C5ZGylSJKRksF/kwbZm4EaFMdTYFB4kooNuqE7moSTKWn7wtOxGWHiIgGYTk/AmD4ZgRE8iGaSsMGmEq1aRwUrzPA2IRcpwZHzElS6WbWvHg04yLLpWrKboKZQRkHdmN6LwB2qPHqPMNAYgUT8bys9+ooUxNE1MzLmRbIK5H0W2FSjVJSC4IGDhuRkVKMGP5xMK1J1NLrT9BRMmJqOVwvtxdyLLElIyIuHYlx1KupanzDRE3o9Rozua9P1Mt7n1EyVGlJtmUamF/sopTy9vFIjhgRNg03MxAPszSql2UKykSZpgePcZz3ZMYXdLPKSUdAqF7I9nEmiOtXNm2majrhGRsP/fuXoBfM7hs9FbKlRSaZLIlPZqn1s1kxskHWFC+XxxzTU8r/duqOe/MTUwIdiNLNnEjyi+WL8UMWVy1YK1Y3LcnG9j3m/EEL+nhwy2rnJSbnOXLKy+hcqPCjJu2cnpsr0ijeBtXRMmJSOfXb86l6RcKBz5TwY0tqxkyQ6TMABt+MZ1g3OLA54eYFj5MQNL5U/d0Sr/oZ/kVsxh/wTHB6Xl17WTa/pBk/XdaqK5z0mI9egn1D/pINgRJfeT4QrO+ZzStDw/x+vgmFpQev26lPUDVVovBcx2ExztXNQu2LaHbCh2FSsrUNCUVaTJVZaQNv0AfKrUk8Zk2VtB5FjlLY2rwCJkmH8+cP5clzZsJSLqbVjOoOq+T7nkljA70O4iXpTK5pJvn7yxlSdV+eo2oQP6um/ca2yY1sqRyNzkXMm/x98Gn1gln3Iv4Pzj6NXJf0cQi7kT9Cp8982lBqk/aAeJGCW3BHm6/7DEKbsrUS59cXvc6uRoNWbKddKFeiixZXDVqIwFZJ2dpRJUcQ65z/57a1x1H200n+mVdOODeZgtwdmQnfyrMYHe2niZ/P3nJmetN/n5K5KxIh3sow0mhThTJwrRlMpbfvdYU/WaEkEu4zY9IX5q2syGOTJmG5AIxJcsoXz9H9TISZlikCdMuUb5cTTNgRgSy4h0/qmQJuetbj15KTMkSkh2nJG9pJHACpDItQ62WIJ6N0p6vJqTkGVJCjA/1EJAKxI0StiYbmRNrB3DRI4lDuUr2J6s4t/pNZGwsWyZlBvj1trnMH3uAObF2FCwsnA1RlmzietgNBlUGjTD3P3YmZsDm5guXo7i/sa6/hdx36+m8VufjJ79CVMmimyp/evlUWh/P8Pr3R3NW+ZsAJIwQ4d/FyEdl9E8rIkW1d7ia0c9k2VtRh1b3BuAEe1igFOwTAsaYmmVwio0ZNcS9kyWLBdUH+MMHT2X+lL0CRY8qOc6d/wZ7TqpmUeV+Bo0wEcVxUC66djWaZFLnGyJj+TCRmBntYOyNvcSUrEDE/bLOWZVvMe+ig05A6ab4AZZU7iYs50maQfqMqHAiZkYOkbMdBD4g68SNEkJyntGBuONguXtPuZZiwNTQ3eN4gXNUyQkkuNo37KBjVoCIkhOZE88ckn9eBFkBSSfDcWQ94xY7MAIx121FzCsFi7gRpVxNk7NVgfTFlIzYH3el6zAzx6Vw/hb2D60s/dewX+2cy650nYu4pOjSy3i+fzJ/eHM2g0aYqOykMkwkHu+axo+2LSJpOaiLB+fdt2s+9+w6TTgBHsz+4y2L+Om+haIiQMbmQK6ab624kOW9kwHc9wye75vMT1acydZkk0uMk0haAX6wZSl3v7oEcHKkfllnf66GX65YxE+3LiRulBCQnHz2rkwdDz90BvfsPR2ARt8AJjKPHJnOH3+7mBf7JrnRlcmgEea+tQv57YNn0p6vEmhEwgjx2G/P4N4Xz3QjTic6ebp7Kmu/N5tf7ZoHIFKJj64/hRXfn8eOZAMmssPJMEJsvHc6T/7+NPKWRqNvgFIlw++757L/9kncs2Uho7QBWn19mLbEkxtmkP9CDX/qmCqczozlY+f9kxn8aRMpM4AiObD8lsQoAv9ewvqVk0W0p9sKL7w5maYvmzzXNYl6bZCcrdJdiBF5sgT56XIUyXLhfWeha/tths07Wh3ERTLI2T569lfS/GyOg6lKArIuUgyxfRA5qAgnKCznsWyJ6FGDwXTQWbBtWRDLbQn8sgP3AyIV5Zd1evUSsRic1HiUziU+JpT1knNRtyZfnPSSFEfPtJkQdEnJtsK8yoPs+UiQk07dL56VLNmcf/pmDt0mc0pFhxgHs8MHGXX7XsZdu0csNEkzyFWjNxG7u4drxm0S0bcmmbz/XS9x+h3rOCncKWDomdFDnP+pVXxi2stkTL9I8Xx43Kt8+JYnmBU7hILlOhg2nzrrWT614AU37avQb0aYHDrKDe95kdnRA+6GGsOyZd4/6jWuGve6e6zj1V8fHfMKMyOHGDAjwulv8fcxv2K/4HR4gUWTv1/wofKWJiB0cFIXAEkr4ETAborRSwfLkuOIpi0/g0ZYpEVlj1wu2aTMgHBinfkvi6g36m5MSSsgEFhvfuq2QrdeCuDeMyeaX51po1JLMjrgVNCVqWl0S8WyJfqMEsFbyVsaGcvHgBk+nj52nZeYkhbpNyeFGyBnaQwYEQbMsLgX5WqagMux6CyU0WuUEJbzDiqYj7FlaBQ520m5xhSHe/J413TWD7VSqjiBUlehjLcy9Xx/xXmsG2oVPLucrYpAyPuv1yghZ2k8ee9C7l6zBAXbDaqC/GL3PI7e0cajR2eI4Clj+Xnx0dmkvt3I4XyFk6pSsqyJj2HM3Rart49n0AiLZ+rxbSKu45uxfJi2jJwHNSmRt44/k7rQMAMTNZqrB8RzMZGon3qMfdf5mRTpFhycSi1J8MNdVF3XQUguEJCczX9J9W5KvtXJx+e/6Dj2tkZUzvK10/7EGf+2gSb/gIvcW8SULB8/Zzm3n/asu275UbApV9PcuuA5FpXtFqmhpBlgVGCATzS/KAJNcFKSdb4harTEcR6UpZIwg8QUhzytuKhad6GUEtkhinfkK0m51X1eyj1pBgU1wBsPGddZCkiOI+84y6o7byQn7WTLJNwxBA5tIGP6RfDimYfqOP8v0aPHiOtRTGQR7CStINtTjWLcWu75HM6Xc//+OezLVosKyryl8eyxk/je8gvZl60mZ2uMDfSg2wp3r1vM4/efwcFsFZoLNAwaYdY+Mp3Nvzr5v9jR/9/YP70jNOoXMqvaxwj+iW4rbNo+hta7bV7tHUuPHnOjeJueVxto/K3G3kwtAAkzyIARJvRShNjjEQaNsMuxsNmZaqDxjxqF1ypIW37Ccp6YmmFtbwutj+rsfnMUYTlPh1su+dbRWsb+Mc/mnkYqlBTg5s8PBKlZK9NbcPKgXsRXuVki/IYz0EycSPRYNkrVNp3EYFgs5ADxwSgVu3QShYAbeToQo5JUCB+1GdJDRJXscV6LDmpGckiAVoCM5acikMYISFiWM3G8CDpQlSU5SqbGPywi4pBcINEG2TqL7kIME9nhDISGOHy2j7aGXsCJSnuMGPWtcQ5dEGR8eR81WsIlgfqwzhuk75KcQCkylo8J0R4OflRi9sJdDtHSdBaeK6dv5OAXfZxRu49hy8lTTwh20XbTLiqvPOxGe87isKhqD8Hv9nLJnNfRXK5P3tK46rS1NH53PxdUbwcQJMlLPrqCy29YATgLS87SWFqxi4XfWMvHJ71CvxlxS2Elbj19OWfd8honh4+4aJWzsGVMZzEqU9OYOFUbF1Vv45MXP8WM6GHhHA2YET46ZSXfW/wQsmQ76VJkQkqej85ewXtrN2LZEikzQMIMMj50jM+c9CJTQ4cZMMNkLB85W2NR2W7OLH9L8KK6CzFKlQznVLxJvW9QLEQhOe8ihVlkLLGYj0RaQkoeBcsp8XajcS9FOZIEnbNVeozjzkOfEaXMRRyccSphIrM/V0PETWX4ZZ1mf5yM5SNt+QXUbyIJrlOrr899/n4B13vpWnCiyrDspMjyliZS0ACV2nGyfrmacmF9ZwNKGCEafQMkzYBwspxUkuSiEJZAWj0HfZQ2wNZ0k/gNz1kaicrqlsLBbJVISVZrw2QsHy/2TWJPptZ1nCViaobt6VH8fO98wXvxUJdfvjWP+w7MJ65HibnE+Y3JMfzHw+9iVbzNRYbTJMwwP1l1Jr/71dnEXd6eJpkcylWw9nuzefSVU0UKPCDpPLvpZIa/NIoVAxOEY6FJJoWf1rH//vH06DGq1CTN/jgvHJ7A+PuG2dA+WiBOI++fX9bF6wC2LCEZEgcLVVSpDv9lVNkQPaf4GRUZdJFQCRMJdc4gR6/VXQ6jMy/nVrRjf22AK2dvEER1bxyMXPvqtEFqtARnXraRj139JH5Zdyur8swpOcjNH3yS6xsdUV3v+t7TuIVbFy4X3CjLlonKOS6t28JFNdsISLrj2FoBqtQkiyr2EJVzDBoOf+VwwVmn24I9IqWeMgNuWs5J53uE7WZfnzhXRbI4mK1yHV2VueF9vJqc4ATZSlY4X05hjIxuq866LxsiIPTeixtRpgQ7KdgKu7L1xNQMMcXhQA4aYRLGcZmGkferuxBzUlSWH002nCISW2HTcDNHcuXotioKLg5mq/jF7nkkXI7egBFmwIjwWMfJPLxiHkfzpYLDmbQC/GLZUn77pyVi3clZGvuyNez48Un87ulFZCw/ZWqapBlgdVcrFfeEeW7fJBGgaZLJ/kM1NL5ksne4moCk06WX4pd1pLyMrEPa9OGTTEb5+kkZflLjCwzMOI7K/S3sH5os/b8xjyw949FPMr+1mzpfgko1Sc7WOJitYmXXWC4f/QY5N8LSJIM1Q210pkp5T+NmwYfJWxpbk40M5MOcXfWWcKbiRpS1/a3UBYeZF9svHnq3Xsrrg820RXtFpRo4i/LGwdHMKutgrL+HjkIlIbnAgBGmp1DCxFC3m5eNEpIL7MtW45cN2oI9gvwXN6J05CpoDvQTUzLIko3PJSImzKC70BbE501kjubLGBc8Rtryk7c0IkrO0XExA4zx95C0nP+PuARBb5L5ZV1sRl56KmGEsNxSVoC04afCl6JaGxZISqmLMPUbEVEN45nDrdLdCCwnKsBGEua8CpXRvjhH9TKn1FdNuoub43R4OWavKkuTTFFt5EVLITmP4uabPc7XKG2AY0ZMIBXeNXrVdx40O7LaLCpn6dbLBGHdg6vBqbbQZEM4YV4VSVTJ0aWXinvcY8QISAZV6jD9ZoSEEaLV3ysI0ZVqUqRGR/n62ZZpcpwYJS/I3V761MulBySDcjUlSNA1agLdVgnIOqVKmmN6KQHZWXQCksGuTB2Tw0dFJZL3W17KZGQkWKam8UkGQy7C4hEinbFgjigZVoUj6D3/nKURN6JirgFiTHqb0cgihEEjjGnLNPoGRGVe3tLoLsSQJZsmfz9hl+T6amIChzNlTC89Qou/jz4jyihtgId7ZhHPRrimaYNb2u6gSve8eTptNX0srtwjqoRejk/gzY2tXLxkPROC3YK4/sMXzgUJPn/2E6620TCP98zk2M9bSF82zL+Ne42okqU9X8Xv1iwg0K1w4aVrqdGGiSg5Vg6Mp++2Zg5dFOQj5y8XzsS3XryQ8b8cxv+jAW6of41tmSYsJF78xmkUohKXfGwFJ4c6OJiv4bftcyj7ZoiOj1l88qSXAWej/+EL51K+Q+KMW9bT4HfK7ffnanjiodMoTEvxzRlPCDTrkc6ZdOyv5vK5G510l0vQ/1XHPDTZ4j2Nm0kYIep9gwyZIZ7rmcyiqr2CpzHSRjqKUSVLnxElKucIuA6SicygERbpMM95jsq5E9JLXhGFw99Lu2uBfwQl4Dh6mTIDNPoGiMpZVg1PYGHJbvbk64gpWcG/K1UymO54TboyEwkzSJWaZMgMibXSS1M712ILp0PBFmmfpBnktNBeftW/gGpfkrnhfTw5OIOTw0cEaumlcb3CmjptCM1FmbsLpScQg8vVFJtSrSeQqwG6C6WkTD8N/kFxTzOWj23DjTQEhyhTM2iywXh/Nw/1zmFTRzNnt+1iYriLqJylx4jxy7fmYRwJc/nitVT7hglIOofzFTz5yALMgM0HLnlBIEyrB8fS8+0xdC6R+eiZz4l19543T6f5RzKdnzT42KRXSFoBLFvmF8uXUv+qSc3nDrCwfC9hOc+QGeKeP52Lmpa4+sqXafT1kzDDDBhhfvfCQqSGLO+bsk44552Fcv64bwbzR7UzMdwtKqIHjDD70tWcFD0quJV+WSdlBojrEcYEesV48DSM7HSWj89aXyRL/7Xs/S2vYQSiTuWCSwAcHzrGpLFdDJgO871KHWZ/rpa5pQcIlDlpjoQVIqCkCSg6J0WP0lwRdx2OkIiy31u30X2AzqKA7cDlF1ZvIyznOWY4iI0mmVRqSc6pcnLX3iabdCd9nW/IhUAd8TZZspgU6iIk5x3itJsqAZgdPYjpcoXK1ZR4v8nnVPk4m5SJLNlgW1T7hkWe2dnwJMEtGDAjAsVImQFBtgPQTUWUv3oRlldaPjPcjoJNm6+XUYrFHt3P2kwbW1NNVPmS+CXjONogO5v5MaNULFTgoFzHjFK88tSuQhmaaopFrNcocRZPM0CZmmbQCBNziczeop0wQ5jkKFUyYmP3SISJEUJiHj/qmBFjtC/OoUKlSP15Tp1HmnagcpUADlxcoaY4kHd0q+q0QXr0mDgPxS3XzdmOA1WppElaQeF4NblVNZpkElPSbM+MosE/SLmaYtgKCuczIOskTaciI5evodE3IDZoD+3wEB7PaUGCLr2UkFxwnDcX4s+ZGqO0fg66ejUJI0SHHiJl+Dicr2BMoFc47R5nLCrnyKGhuWPyNx2ncmnj1hPItc8eO4lUwccVTZuFEzpgRLhv3emcMvkgM2OHCbvclqeOnMTgm5VctHQDrcE+8pZGygxw75/OI19jcOvpywVBdnnXJOz7qym98TAX1WxDlmx6zRJe+tVcbBmu/rfnnc3Egjf6G4h8Kcxvb2rk9rnLiClZ+s0Ie5a3Ub82y9bvNTE5fBQTmb2ZWpp+otC+oIXIdduEA7ntYCPjHxpm1aSxTB5zFL/siI+WHJDBgsTSkOBAqLKJW0+AX9YZMkOOc1GXIhMOuAGU80wmRbv51eXjGDO5U5SGh+U8s2fuY1tdA5eXdtJvRJgVPsjr6Vaqb26nJjhMuZpiX74Wy5a5acyrbLyrhXdFOkVwEJILfPSs57DOdMrRe/QYOUljSrCTymuXUaUmXYfCSdudVbuLUMNWJy3iIl0BSefjrS/To5eiYIlqL91WuKp+A7qtkrScFEyVmhRVrRHXedRtxa2Gdca6ZpuCPuCXdVEkYf6nBMNIaQXFHUumctzh9viN3nxWsKh014jOQjmjA/30GSUnIFTgoHTNvriokg1IBQbtsEgLmRwPZLwqukotKSgJOVvjaKGMmJJFliyeT01hfOgYh/MV/L5vHjOih8WcNm2VR7pmAnBh3XaRrt2ZbeSRNXNoGt/Dexo3i2N9/a3zMNeXMfXCXSdUwz3wzEKi7bDwwxs4KdxJ0gzSkatg3y8nsLkVbnz382Jd6UiWMea7Oss+MZnxs46RMJ1MhNERoeoNm74FUap9w8iSTUhx7o2tIBzJkJynPpjgjQUK1eMddN6TKTh37Fs8+5EpvGfMdmeMWQ4yfNGSDbSfWsG0kk6RSovKOa6/aAUWEvW+QTFmYmqGW85bLjh6JjIZ0ykO+sikVSSMkOC5ecjmrNghURnmjVW/7CCGpUqGA7lqIkpe8IhS9nFE+G9h//SpsZRbKj0yEgXE5h6QdDoLFVhuLtXjpGiyIRRjo3KOASNyAv/AiUaCrniXJDbhjOlUTqTdCe7xOhwY3SZna3TpZYTkApVa8oSSwYzlE/A+IHK/I3PoXtmxIh2P0r2UhAf3K9gujKtSqyYEwuGkzGyxKXgb4mitj+5CjKQLCftlHb9L1M64uj6y5KRVvIUvbfkISCYDlsXm3GgO58uJ58PsStaSMIMOqc8KOFUarkLqSL6FZTu5/5ytIrsl93lLo7NQLnRfMpafGle3yKt08UpiPcQuY/noc6M/TTKd0k05J6oZPJQp4Kb0XhiaIjgxPsmg0dfPoVwFb2Xq3fESEKXzGxItrByeKCrWcraPHr2Ep3tPpls4IY6D8nJ8Ao/2zCIg6YKI2KPH+MGWpS50HqTJ349ly/zx6Cy+vflsEoYjP+ARen+55nR+s/dUwNPUsFg10Ma9fzifV/rHAYiI6a5XzuHXfzybpOlEdDlLY2e6gd98+wLe99r7HCfHrXpbtnEaR74ynq0DjShY1GgJwanRLVVEvjVagof2ziT2aY3f7J8jHMi8pTH4QCPazyrEvUtaAbYONzLhnjSvvzFWLOJ5S2NgVwXNy/MczZWK+6HbCqX7LALdqhh7smTjU5yIOVXwC/QppmQZmlEg1WzRW3Ac4oKtcnJFFwcvizB9bAcBqYBPMshYPsacc5BDN9o0uwrvChaN/kHyXxhi3ru3UeIKUsqSxQdmvob6/QGuGr0JGUch2C/rnPuBNZz/b6up0RIuV0ZjUcUe3vWFl/nEhBVi3MaUDFeNfZ0bZ77qInkGCSNEtTbM5858mkvrtpBxU+WmLbO4fDc3T3qVSlc/5qjuVFtdWL2N+SX7hPPgOVRelU6F4qwDHsdJlpx74Je9zcRBFTx9mpzt6GON1MHyUuS6rdJnlBB1le694CkgGSTMsFhHApKjINxdKD2BGOxE6pYYf56THpB0IdsRlXPi2eVsDcVdizyk10NNevUSV1rCEKX7Cs5zPp4addaarclRrB8egyaZVCgpkRp67PA01qfGCOQ3YYbZNNTMt189n+5CqXAg85bGj1aeze9eWCgqdjXJZONQC899/3R+vGapKLBImQEe3jCb9q9MYEOixV2jHBQ89dsGsvfVC7kN3VZoT1cw9qE8ndtrxdgISDrZnEbFToO+nKOd5jnFhTKTdL1EtS+J6SKqNb5h4gt0ymb0ifX+YKGaq5o20f9VnYunbBWIq1/WuXTpOuZ8+nXGhY+J86jWhrnuyhf52MXP0OY/RtJ0qA6nRNr5xIXP8MHRrzkpQD3MkBlmUqiLf5u6mmnhDgaNsLj/tf4EZ1W+JWRbMpafnK1RrqYcdNfSiOtRUX3mZQ6SVkCkDBV3PoWUvEgBejYSIcxYfiHd4QTEMSdjoyXFXjbkKq7/reyf3hFKuJtvYMTE8zbq7kJMEMUcQcOQuzlr1GtDIk2TszXxr7f4eA/Wy81G5Zyj5uvq5PTosRN0EsDZZJ1z0Ud810fciLiRjS4WmQEjQrebSw3JTmmiZct0F0ppz1e5OXZbpOq8jdwhWwYFee/loUkkTIfw65A7C+xINrIz3eA6eGHeyjcwJtDLlmQTh3IV4nyTVpC4HuHZrpME6TFlBjiql7E6MZ4vdV5ITJZYHNpDRMnTlYrx+uY21vS0okkmbf4ewnKeQ7lKvrXxHLanRwnNo4QZ4pHOGdy9djE9RoyYkhYb5l1vLuH+g3OEYwewI9nIj54+T5DQvUqLuzedwc8eOY/D+QqXHOpEF4/+YjG/ePUM4fglzSC/ap/H9m+dzLKuyeK1HiPGM8vmsOY/5rhRSY56bZB1w2Po/FobTy07VRA485bGozunk/1MNY8fOpmoK2KYtzQ6/jCW4W+PEpoZmmTy9NEptP1Q5+ltJ7sCZX6iSpZjaxoYc49NV75UOMBxPcKoF0BaHxNkXE0y2ddfRcOqDD2ZqHCYQ3IBX79C6JgtSoxDch7TlkByKsGcCF8mpmSJNAwzMEHjlIoOZ4MaMX49Hal6bYiOfCWnNHaw61NRlo7aI5yVkJyn4qoj5D40SLM/Tq9eQlTOcUHlNnLfTfOeBRtEFVVIzvP+s15h1Lf2cWb5W64zL9Hk62fxp9fy/vc8D0CzL07CDHJZwxau/tKzXN+0joQZolsvJaZkuHn2K3zh/Mep8yWEvta0yGE+dv4yrqtbx4AZcYjSksElNVv44oxn8Mu6y6PyU66muL5pHaeUtIt0qCaZVGvDXFSzzUUejxPb50f3ElVytOerRHrU25C9Igmn5YCDLkSUnKjU8UrAA5JTeeo5LQ4C7YzhnPu6ZUuCKJyzfa6Q5nFhPp+bcuwzShzCryuc5/GmFJzquH6XlzVkhtzgSSJpBoXu1KFcpUOqdnlsGctRMPbK+j314Zwrr+GhfG/lnL5Og0ZYBIoeErQ2MYZ92WqRwogqOXZl6/n5rgXsyDjf8xyfX3XM53urz6G34OhpDRgRjuVjPPDwYp5on0pIzrM3V0fO0vjZvtNY9Y25LO+ZLOZO3Iiw5fdTefM/TnKQUpeQvCPZQNlXAjz70imAk/KSJYvNb7Uw/r406+ItYo3VbYXofoXS3c6ar9uqg+JqOfQQSAGTnO1UzWqSSXNrL0fOUmgKDrgBlMPjsa+IY9/QJ/SFdFvl1NJ2Qt/o5tIl68VeI0s2n5r6MvPvXM9FtdtFpiCmZLjptFf4+HufZHygW4zzGi3Bx+e8xA2j17kVxqoIBq5ucUr4vevIWD5a/H1MCnWJ4+m2Qsp0eKEKFi8mptCvO6kr7/244RCdNdkUpOxyJU17vhoZG8V1lL3UZM7VEvPWNmc8O06PN87BCb4TZkjsk85+5hcOkDfePYepVy8Rz9ALFI/my9gy3EzCCKG5cjQKNi/HJ/D80Un/3bb+V7d/+tTYQy+cTtmsNNe1bBDR16ah0ex4YTw1C7poC/agSSY1aor7O+fRuWoUp563gzklB/F6xdyzcz7sDfPuC9aJ0nXdVvjRyrORsxJXn7laPODeQpT7nzqTXJ3Bbac/KyKpjUMt7HpwIsaSId7Xtt7JOyPzox2LiKwIU3flIS6ueYMaLUHa8vPTx87DPyCx8JpNjA8dcyJPM8SLP59LuhHef9FLjmMj66wYmEDPt8bw1OUGn531vCjhv2vTUpoflOi+/SgX1WxDtxxC6qZHphLusij9rKNcmrc03sw0cvDrE9kwVeWDVz5HwIU9H9s7jeYfSjz7mclc27aRjOUjLBd47amTqdpu0PVjBc0l2g6mg0y4O86xRTXwSQfV0CSTFUfbaPupzvMfm8i0mYdJunym7q21tD2ZYf+0akKRgoDz2REl5Y+gtyjCaTyaiVG33mRvUzWX1znRdtIMoMR9lBywyVuqm392dJrUtI2SlsUGGJLzRP15ElGZMu041K6bCoU6nWTeR5mawbJl+s0I40M9rDp1GtokR8HbqzaaPKqbt97TwgUNDqKQMgPUaUNEL+3maLz0BOGwCxve5He3zebqtg0ihRWQdOadu53dc6uZGjkiUhdtwR66P7uXqVqWmJIVKtvXjN1I+w+rmBw+iiY52lNt/h6uuXiFSK2ayAyYEaZGOmn9dFygY145+cfHv4I+TqFWS3BMjwlUTZNMoSWTszRHT6RsN0vnv3UC8qZgc2n9FoFMythutVOIyxq2HFcSd9tVVGpJotHjwpFe6qXBPyie5xuZZsrVtCgHzth+l4thuennglBF9lIj3iJ8qFBJxvQLlV6vZYYn/uct4B7/xPuuppgEJIcsnrJC1GgJUVF5VC935R6G6TNK6C7EGB2Io2EIIrV3fO83PVTGc9g9UcKRytdRJUt7pkqsGx651EPFonIO3VLJudpfe7O1lGlp4eibyBzKVdCTL2FB6T4AarUEryXb2DIwijJ/hguqtovjHcpW8fimWZw7czueUm/G8nHP5oWQ1Pj3pY/RrZcRUzLsz1Sz5ZdTSS9N8f0Zj7An5wRTf9hwKqOWS4z53C5mlRzCsp1ijgN3TSJTJdNwkyMkadoSr3S1MfrLOk99dirT5hwGnNRVfHUdrevydE4tZVq4w+Wy2ZTut+geFaFnbEyIwWqqiR6WiWo5wm5g1+TrJzErT2LYeY6mq11TFxhm820WEyvbheyHbitcPWc9W8aN4sLqt0QAG5ILXHj9asYGeghIOutTY5gWPszEcDetH4lTpqYF/y0k5x1uaP3I/m6Oxs7nxy1nyAyJwhpZsvBLFu+pfZ0hM0TYFRH0BEunho4AcEQvF5Iazvds9uTqhB6abqsnKGF7FZYeoXvkbzrOrF84HSMFfr2sRLWWJGP5GBfoFlWqlWpSjA3v2XhVlyHleIl6ynSQHW/+eCXzuzJ1qJLJ6EC/6/xmSFoBnuw8mcpgmvOqdxBRHNL5nkwNL26YypSpHSyu3C24hL/pOJXcMzWMuvwg76reSt4t8//FyjOoWSeR/+hu5pYeICTl6S5Uc+CxNoLt6f/ZRv+/tH96R6him82grwKzxYEYLVvm8HAZdWvztDdXoo1yNA969BhHB2NUv2Gwe241i0p3YVoyliSj9wVp2GLRvqiCcQEHlsxYfgJdCsG4jbnUk2V3Fuxgj41kqUKd2dMwCgxY9AwHqFSHGTCdRV5RLEZULzoK0JaPQqmFNnw8lRVwRSHzZRJ6xBKkswEjQrU/xa6JKsHwcc5C3tKoqx2kd0Yt84KearbDHcrMyJIedRzezqPRHIzz7PngK0vR7IuzK1dPpZrkgrFv8vgNMzl/1G6xCJQqaeZcuIN9p1VRr5hsyZeSMILUxpLs+ngtzWO7CUg6R/VyFCxuHvsqP7njDC5sdPp0mUhoWJy/dBOHTq1geuSwgPtrtASnX+Boe4yUyL+qfgNbvjiaRWpWpJIafQNcfdarmGfK1LjK4LJkMTV0mOgnXhKRvdcK49K6LZif3YrXziJhBqlRE9w+fxmZuT5KlQw5lxAZlXN88YqHMW2Jbr1MLCjnVe3gqoscp7pLLxWvv7dxE2ajLPgSOdOp1Pj45BVCRTVj+emyyjitdC9zYgedjVDJ0lkop1JNsqhsN0nLqVQZMCIC/ZkWOSw4UiG5wDHdUe5t9A1QsFWSpqMZE1B06rRB4kYJuqScQChP6CGOFJwUZdyI0OBzHGDZje49cqnHJ/NUmwG0EVIDXYUywf/ylLqjcpZ1w2OZGO5Ct1X8bjTtbUaeAKk3NgGRKvEWbI98rWCDS9INKMdbqzhpDUMQqmNqRsD4HrfL+/2REWre0hxdMNPvbpBBDuUqafAPughiFk0yOJSrFOlyp/Q6xaDhpFzGROLUaMOiX9MzfVNpHyrn6pbXndJmucChXCUP75pBeSzN9S3r8ZrL/rZrHgdeaeGUc95kcdluxvh6eTU5nkeXz0fNSHz4ymfF/XxtaCyd322j82KDz81+zr0GH0+snk3LkwVWfk1mduyQW/igYt5Vw4Fmja6bjriVfzZP7j6Z8b/M8kZzA+NCxyiVM3QbpcQ2BfAN2wTOcu65aUcwbBl/wmYwq7EvX4vXHidUmWGoNUZQ0UU1YYN/kK6zDHzRwggBPJWl9Xv407+fzAUtO4RDGpILLH7XZo6dHWVOrJ1aNUGPWoqFxPzPbnAFJB2Cc0gu8PGxK+j8tOOI5ixNCJt+eNZKYkpWzKmApNPoG+Tjk17BJxn0GVHhMI4N9DC2rocePXZC1WujbwDTljlmxhgT6BM8onIt5a4BDtrozTVPakEDgawPmSHRD8wbv55T7KWlZcmiykXvtmdGCbFMr4dYxvIJB9irRvOkEpzxb4rfA6ci0yv+GEksBqjUUsIJCskFNg23COXxenmQnO3jaKGMxw5MY0pNN9NLjghtvO3JBl5fN44Jszo4u+otUbV3/5unEl0TYtp1O5hVckhwm1b9aQahbhv5Fkd7LSA7PfXsX1XT3iCT+MB+ApJBmZrmzYGTaHzJ5q3yOs6s3CXmazrvI5i0MSxZpGv9kkWkaZh4tpQ5/pTLI7Op1FJEzj3GYL8ET/6Fm/5fYP/0VWPXvXIFlaWWqL4SEWmqiebAgKiqSFoB8pbG0XwprcG+E5QvM5aP9mwV0yJOxOP0rUnR6W4srf5e3sw20ugbQJZsDucr0CRT9E/yCNY9ekwoFTsOj1/IzHs9bDzzqhu8NgzACW0pAAGlhuSCaElxfEJbAtL08rde36ecrVGqZCi4Ub9XFeJB55Xq8Nt6gnnXrWBTrw1SpQ5TIWcJSCars63sSDfSk3fUaxsDQ4L45qW2NMmkRM6K3l7eax6XIm5EMW2ZmIvKeCiMiSwiFUCQHT1SuMdZ2pWrdzZIJUt3oVQgJZ6q6sh+YB5E60XlNWpCwLraiKjMa4fhfTZpBqjREiLi9K7B4yt5fb+8zdRzfrx76FVJeeJ13qLaWSgX5+s1WN2RGcXM8CE6CpW0+B3C46ZUq2i9UK6mkLE4kK9hjL+HuFFCo6+fzoKTIvR4Vt5i5JTEZgUPw4t6vWoqb7EdKQI6srP1SO0Sp2/a8fE/khifMMOYOOX/pi3T7I8D0J6vImU4hQVjAn0CHevRY7zYM4HTq/fT4BsUJOPHe2bQlwlzRdNmAdv36iX8ast8xjUd4z11m8V5/vHILLq31XLJmesYFzhGztbo1Ut48NnTMaIWtyx6kRotQdIMcP+huai/qkD+UC/vadwiqtTufvh8yvZYzP7M68wIHyJpBVk3NIae21roODfATRc9T6U6TNIK8uNHLqTxlRwTvruT1qBTSn04X86mL85iqFXjhpuWibYrP3lzIc0/lBi8I8uHxqwRIoS/+OM5+Afg0htXUOYiY68nW1j9h5lk56T5+Mkr3Gdg8fvDc+jdWsPV564SyJKCxbe3nk19RYJrR60XhSA5S+OFYxNZWrubmFv2HZLz7M7WIUs24wLHxJgMy3l2uQKQXtrea9iriapEZzx5lZveeqJJJqcF9/ODnjOZHDkqEDPPofV+32tR45CYnXHjzTXPkfaq0RzE03EMPA5f2vKLXn8eT9JDO+NGVKB61dowUTkrCL2aZArJlJH9xrwxPbKS0bkmVRRQeAjkoBGmTnPUzhVXJsH7HU1yFO4DbvrSU+HPWD72pmuYFj0i7kXCDHIkV0Z3Nsb88gMCHY7rUR7YPYtwMM91YzYIR2vLcDPrnplKybxerm7eJMboDzYupeI1H7NvfIPJ4aNuIBzmifvOQE3bXPCJVaLw5vVEM913jqFnto8PXvGcqOD6Q8cpRL5bwpGbDD499SV69RJiSpYfbllM+YoA4z+0i7mlB0R66943Tod+P9ctelUIieYtjV/vO5XqaIr31G8W63HO0ngzWc/4SA8hJS8qBLv1UjKmj0otJfZUz7y1xwtivdeSSZsvzllRrBr7a9nUSCeqP3BC6aQmGcwtOSBKyj24sExNC2hwZOlosy9OQDJEmbkzMcPU+wYpuI07a7Rht+oLWvx9rmK0fIIeirfZFWynl5ciWcSkDM3+OGnLL5yV49VO+RMWHy/6tUYw7xVsBo2wSCHUaEMkzSB7c7WMCfSKAeaJpXlISpfLQ4nKOZAQ1WIxJUPSCgoBurylYUmym8O13Vy7QpdeJgiPjsKujGHLVPvS1PkSgmzpkwx69Bhlapphr+pgxGZ7vIGp05erRM6yJ1fnOi+OfkzKDAhExFtwPDJo3tLoMB1V5KicFaKH3mJYqQ7TrZdh2jI1msM3yVg+KtUkparTBLI9X+2UumIIGLlKTYqoLCpniRslVGpJArJOR77yhEXBk/QPyXn8rqRBZ6EcGVtIzyfcRdhrWuv1iXOq9dJElRz7czWkZCda9Mqk1xdixPUI1b5h6nwJypUUSSvIzkwDQ3qIyZGjlCg5uvUytmeaOJiupNyXQQuaQs4+Y/n4w4FZXNyy3UnjuY7/gwdnIUk217ZupFod5nC+gsNmOU+vmsXEGR0srdpFSNLJofEfW5eg7g9yxbtepVobxieZ9OpRXnx0Ntk6k08ueY4B09nw7tu7gJLflVByyxEqa5IEJKeX2RO/XoiWsqn+2AqnHx0aawda8d1Rwu+uW8AnFz2H5pbtH3qylbJ9Br13llCmOZ232zOVjL3PZP+7m+g++4CYU0faq2h7MsvO2U4/v3IlRZwo0Q7IlykjnF4VRbbQgzKqLQmdlyNmkPyYHANygErNUTj3y0616LpLJ9A0uYtKdZhqNcnuZD1Tl+xhz8nVnOc6QZpkUOdLUPrZw0wJDYlqGlmyuHHyGvb/qJqJoW5KlTS7sg1Uakk+/N5nRZsI3XaUd6dGjjD1xiNi7HpO/wdHr2FoVOiEKh0dha/NfIKM5ReVmF4K5j2NmwnLeRHoJK0ATf4BEVx4lXI+zSnx9tSCPYFKr/LSa/Yc+k+Ov1fO/Xx6EmNDvWJMJs2A6HXnXZMmmeQ53qDUclv4eFwg8Bzu4z0LHf5JUDjriuxqPuEg2ANmWFS7ylicHtnNQ/FTqfEPi956XuFHj+5o7NT5hoSDk7F8PNc3mQp/hpnRQ26KWGNnqo71HaO5bPxW6nyOwv6AGeF3O2djDvm46bRXhFO+J1PLq785hcS0ArfNXS4CiQcOzKL83ghv3NzA+8asd9KT2KxaPp26tQX235lkZvSQKEKpejhIuiZC4sYQiuo4aYfTZVRv1jncVoLepJAx3NZGQZ1CiR+fbAi0NykFSM7NYmaPj3NNMpkS7WLfR6uYVXGMnKVRoyUIyDrzaw5y9GulXFB60NnnXMfwEzNW0HNSiegfZiGjYPOJGStOSLF6wfnnJj0vgvmQnCdpO1XHc0sPChkYr91RpZokI/tFav+4HIpbGUneSf25+2tUyWLIf5uu85790ztCXq8xTzirXhtkT65O5Ec1ycSvOtG7x+3wImCvrLg9X83EwFH25OsErGkiiT5egIjwPZVSb5MGRNTi6fzkbKc6zMsNe3154q5seqM2RI9eSo8eo943iC55FV6GS8CTwFWAHcmh0G2FPrfsvM43JM7N8+491CJt+YWT56UUUnbAdf6OIyZeJOehIZVakiYlze5sPREl70RUso6MzUmhTmaEDRq0QbeDvLNAe/2ZHMK2jdfKJCrnHME+SxUEc8uW6DcjRN0miV4e3btOT58GWxWd0nOWU6ESz0eIqc53Wvy9bEmPpmCpRNUcM8PtWLYj+rg23uqoNMu6kKkfNEIsPzqJCxrfdJukOuXsjx+ZhiZb3Dj6VVE5syPdyONbZnLKxIMsLN8rHL6HOmbSd7iMD81fhSYbVGvD9Ool3PPEufgnD3Ht2I2iiubRozPoe7mBuRdvY1z4GKO0Afbna3jwiTNQcnDxFaspV9Mc1is4lKpg8LvNHLnc4JMzX2bAjBCVczy+cg6jn9XJf00hVOqkybamm+j6xlh2tmm0fvA55/lL8NiBaTTdUeCxr0/j1kkvivSX+rjTPy/xyRAH7Wpa/H083DWLtgfT7Iw0utC5k9aTjgSp3WDQdXYpTb5+RxHbUgl32+SqJLfYIOhUEgVzZEpLKeE4eVaTTIbHG0gFB/XLWxrlSpaJJcf403tGM+PkfcSUtFsqrDP23fvY119FtW9YIJyTI10c+HIlZ5XtdtvGOATjq09dx9FppcyNHXCERo0Yzf445354jVstmBeO/rVNG0je5oyTtOUnjXMvPjZzBYFZx3WsPGf5U2c9K5C9A4WgcEgXl+9+WyrukprN5GxHNdrjdciSxezoQWQsUZ2qSSY6UC6nxbxNuC09PPTWa88AIGNRrw2yK9sg2hHEjaiY+57kxEjkeMiV0vDSXZ2F8uNrmu1wqXr0mEiZaJKzuQbkAl4fQU+Hy9P78c416QqaRpUsPVbMScXaiugr5rXLyFmOQjjgEsY1DmcrCCkFgbwOmSGO5kvZmajjkro36C44FURIJk90n8zRgRg3TV7NaF+cI4UKNqdG89y6kwnUp/n05JeIGyWM9sXZ0tuA/PhUSq/p5D31mwWS/sBTC4nth4UfX8/oQJyApLMz28DgN0azZ4bGxKu6KVcdgdvVu8bR9gudVV8ay/XN60W7keCWENFOi8TcIA1+Bw3fnmrEP2QjpZxKVmxnD2guG6R9ShkTy+Oiwjik5Kmbd5SO0RWcE+oVa2JIzrP15qPU+nKiBybAe+s3sebLbSwK9jvVu7ZT2XjTlDVkJvkEAuUVBXx2xvMnpOz8sk65muLipm1UaklX/yhEwoRRgQFag32E5Tx9htPw1luba7RhB6mVdXKmJuaA97semuYhYk57JqdPpyfvkbH8DJhhASh41Wceel8mWSKtp0kmuKi8tzd4PERNSv01tv8/2/7pq8aGjBCH8xViURlyG4p6pcseSgLOhPfKL2NKllIlI0oDVyfHo0kmMSUjyiK7C6VsS49yNskRkN+OzCgO5KpFlVrS9XS7C6UcLZQ5VTcuxJuzNbanGtmWHiUmx4ARobsQY0tilICWveqVdUNjWDs4BhPJbQXh9E17qvtktiYbRUpMwWZ3to7fts/hcL5clPIDvNQ/kZ/vWuASn/Pi+h8+NJP/2LeYhBGiQknhl3U6C2X8eM1SNg6OFp9r8A/ycu94HlwxH8Atl1TI2T4+9Nr1fPzla9ifr3F6oclOK4D7/3A2v9wzF3D6HOVsjQcPzuLRuxezbbjRiTL1GHlL46cvncUDvzyTHr1EtB3Yn6nhsZ8t5tuvnk/G8tHq70WWLH6xZQFP3bmY7YkGajQniuvWy1j9s1PYdPd0Jga76ChUcsyIsWO4HvsLFTywar7bcNO5H0+tm0nZ531sHBxNWM4TlvMczpcj/7qKwm9r2J+roVxJYyKzub+J8Xdn2PRWK4AgSg7tqGTsHwrsTteIlMSgHqJ6s0WqI+aUHZtOmfpQJkio26Y762ikFNzN1M1kEpILwjGsCqRItKjEYhkhraDbCuXjBjiyxEeplhXPpUzN0HGxjbxoQDiRYTnP0uY97PpsCWc37xLzIqLkaPrAPurfd1D0icvZGktrdhH6/jE+dOqr1LhNVHv0GB887yWm/Pt2pkacHlmK5JSoX/WZ5XzqnGdHVJPIvL/5Nd736We4tNYhUrfnq1CwuW3hs3zp7MdF1D9khhgdiPMfF/+aK2s2sjtbLzbIS2u28JHxq1xHNYzXfmZRzV5mRg7hNYXUbZUWfx8LYvsEp6NKdUqUvfs4Us3amxteFaajqzMgHG9NMghITuDkBSpONOwXm0FUyTLB382OTCMDRkSkmpJW0InyVYe06qVvk2aQpBUk55K5R8pXAOJfTz3bQTKTgsDqdXiPqRmXlO2go1VqUqxXXsVlxnQ2Im+tCskFoW6fMgOiVYfnRL0yOGGEllaBVn8Pq4Ym8Ivd8xgyQ4Jrk7c0fr53AffuPE0cL2dpxBRH/TiuRwRvMWP5uH/HXJ776QI2JJwK0jPDu1g/1Mqqb8zlN8sWiSrcWjXB0/umIH0qxve3L2VMoFcElT0vNlL/cx/7MzUcKVRQpQ4TlAs0LbeQNjvpkpiSYVu2GVmC4KCJYclCmT0g6RRqDJKjJap9w4JSUOVLcuhdEmWnH8PvBkRROcdl0zYT/1yOs+qcnl6enXf1WqZ9eitlmtc4W+Y9FRuZ8pEdvH/RSmJKWqD451Xt4IrrVrC4fLeoxgO4snETt8xcSY2WEMKMsmRzef3rXFC13VHRd6tyk1aAs8veJKZmxLj0kH1PqNTj9nhilXC8LZLz/34Ul7cqeDkjREw986gRcFxE11NT94oiPE2lkbpsXirVkyQAR0cprkfEGHACcMeZ3J5qFMf1jrlluJkHD80ibkTFucmSxa/2zeW7a87jb2n/9I7QI08s5JGnF4jOtyYyezK1PHHfGdy18hzBsQnJedYOjuHZHyzkvh3z8UkGR9xKkscPnczab83hkSMzhIcrSzb3b5jP5u/M5I1EE0m3JB9g2aNzeeWnp3K4UCGOmTH9rPreqTzy8ELqtCFy7oT6Q/ts9n5xMsv2TBHERFmyeXD9qSRub2TNwFhxLZpksuOPk+i6ayy9hRIR5R7Ll5D/Xh1vPDZlhIhVipVdbVR8WePRbTOELIAmGWze2EbTtyVW9409QeeIxyoI/sbpfN1vRgjLefYM1zDmIYNtu5pRsEWLhYPtNYx9KC1+A5ycevSNAFXrFExbpmCrpC0/8XyEil0G+UOOsGXBLbE0LJlIt0lnqpSwXBDN/2zJ6dnnoWcmMmE1T6EEpJBT0jrkwutto3oYHKcwOjwgWp34ZZ2BOTrxOaYQgtMkk3GRXvZd62fGjP0E3AUDYMbJB9jzyQBnV+0kaQbp0ssYE+hFen8v4fd1MTF4VBCHz63bSeqbWa6bs/YEdO2ys1+j5juHmBc7IJyCGZEOZt6xmQ8uciF12aBWTfD+seuYdcsbXFa7GQWLwwUn1fbxy5/kuqucPkWeDtO06GFu+vCT3DJuJUmX75SzNT4ydiVfuOQRJoW6RAqgUkvyhfnP8PHxK4gpTquPpOlEsV849VlGB/pHCDRaXFS1lTMq9whE0tNQWlK5W7Su8LR6arQE0yNOE9we3elqHlMzQj9mJA/LQ0ozlp+05afONyRQD68YIOCmWnVb4ahe7jQ51VJ4Kr5deukJGjsH8jWkzABjAz1UqCnCckH0KHLSmYaIUgu26ii0ux2yAbFJe2kgj+AacInpHunWS616gRAgFNk9ZLKzUM6GzBjagj3E1Iw4R++5lyspBoywKFv3Fv56l6CedzVZ1gy1CWXkkFxgV66eF3smsDYxFsXd9CJKjnVDY7h9zaWiN2LA5X19cd27uX/dAnF8Txwv4GobOarBzkb1m+cW8dQPFnE0X0ZAcvg7W5JNHL2zjd88uVigQocKVazYMZHRX9Z55MgM93rSTprr6VLKHwu7mj8+N+3qd++vs/Z5CKBlSMgFSOiOM7kiPYFTSw/SO0vGHpVzx41N2vJzzthd7P63CGeP2YWnaRVTsky5aDfWZ/uZHukQ6fi2YA+T7tzBBZevdVEwxwm9oXUdS76yhnNqnYpHr3fabQuW8cn3PkGVi7YlrQDV2jBfXvQEVzZtIipnxYbdFuzhA2Odxst9LuIWUXKMCfQyOXxU9KVMW35eTU1gWvQITb64cFS9vaFaGyYg63QWygXSVqsOCa02TxvI00rzWs94e9EobYBduXrhGHgSC04QdJzXGZLzAll3+H3HERWnqu/E/mK6raBbKkkzQJ8RFfO1Uk1yOF/OioEJ4pieo7MyPp4/tM92Gti6gXfe0vjJ64u4943ThVMWUzJsGW7m2d8u4Pf7TxFjUsHmd/tms+cbk3ngwCwsW6ZSTeKXdVaum0L0RyWsH2gRxRcJI4S1roy6lcXU2F/VLJ+NqkukTL+7SDgCb5YKcs4htmpywYF7FR0zALYlnYAYVEdS9FRW4LccYldAcjbokuoUqboy/IoDE6fdSZxp0TGCx8t367VBEkaI+Awwo7qYvJXqMHNqOnjx9BlMHdUhlIFDcoGTJh1m10UtnB1wFsO8pRFWMsiLBzjaXUKdL0GNNkSfUcKUcBcvXzOB2gpHUK5bL0WTTBY37OXRT0xn6bjdLvcngCabnD5vJ2sbWri2aj/DrvJxtTZMywf20puJuvojzgYxv2I/r30FrizpFuk1BYsrZ21g/8QqZsaOV3xFlBzvvmEVXblSykeQm99bvYE/fc7grFAfnlQ9wIfa1pL8agBNNkSaKqrk+PSZz6IvVQSXJSQXmBjsou6aZQKedZS8LS6ue4P4FfvFRpZ0I6jb5i4XqQvnPGTGBY/xlcWPkzDDFFzRPIBFFXtYVLHHUT6VZEzL0eF5X/NaFMlJaWjScfn/65od7RCns7omoPUG/6DjYFmOU5iRfa4WiEOQ1SSTjkIlzb44mYDPjQL9xJSscFC8tgBdbkdwTycEIO729lKwnI7osu7qVwXEtfpkQ7QA8RBPD3n0InkP2g6RF58ZeWyPZO6XdSzLqchznIXjyt5eqtBzVrw0qvfMRxLSM+7ck22LVl8vR/QKl4g6RNIKENejlKsOAtljOL2wYkqWuB4VadNK97e9liK6pTIx3CWUg4/my5xyd1eg0WtTU6LmhMKvJwT5Qs8kppYeFY5SZ6GM7lwJO3rruXbMRpFaGDJD/GTrIqKRLDe2rRbtXF7uGc+xNQ2cfdFGTom006PH6M7FePS5+UgGXHXRKsYEevEaK3tk+rQ77wEeXr6A+lcNSu/MMj50DFmy6MqVon6tnPXzG5hwVTdR2VFNf21nGxPvSrD+xy1U1qYEF6d0gw9f0qZnruMEj0xzeKl3BZtKLYlRapCp0ShTM2L9GRPqY/XSyYTHDgkEUpNMFp+0i1Wfb+P99WtdpMtJi0/64E6GC0HRJsJDKxJmSBQ5eEjkp095kdSMgEAwdFuhXEnx4fOfd9I9ko3stt2YFWlnxuIOTNeZ8AoVTi09SGlF5oTecrqtMjNyyP1/lzdpGwLZ8xSyh8yQIKzLbu83j58ICOTNcnV+dFul1wifwF/xCgUszxHBKVIo2KooQffmtSxZyG7qMW5EiSkZWvx9dOullKlpOgpOmtdx2A1xnl73dy94NW2ZjelW0oafWDArrjmi5NiaauLAcCUX171B0gqIJsPPdp3EQCbILeNXYUkODWJftobH1s5GKc/z4amv4qlqPxefTP/vmsheOMwHx7/mOGP4eOrNqTQ9pLDi1hDXNa5jf66GSi3J/uVjqNhp0PWlUhp9/Q7JuxCjfLUPMyCROjlwAuqqZmySeWc98RCkhliCjhkxplX1uKk1x+k+ZfZe3qhv5IJoj2gGPN7fzbbz9zG8wIYn/sfb/V9s//RVY/++YQn5QAkxNUOrz+lPFDeiyK43XO8bFPn7cjVF3IhSrXnl5oZ4wA5puo+DhWoRsXilkHXaoNAQ8cu6qHaIylk6CxWOPLkZpF4bFNoSnoy/dwxPftzbgLzu014Lio58Jc3+uFAlVSSbXdl6arRhsWh7ECkc16LwovORwo5e1VGXXiqiSM9p8yoywMl59xgx4fxElRwd+UoUyaJOG3R7WZWJ9IXXM0uRLIHYeB2WRdflEdUZHvHQI+F5kRIcLyf18scjqw28/lTeYuQRFWu0BENmiH3ZGk4KdQpYduRveYhDXI9S7xsU2iDeNTiOrrNZjeRKeVoZHqfCOUdDkNC9Un9P38O7l1511Mi8uKdg7qEmI6voAKFt4n3uuIMhi2OF5LwYWwOGk5YY+fyiSo4+Iyo6THtcFu+3ytUU7fkqTFumxd97QjNVb3GOu0iJRzjvLjglyN7GbiKxK12HZcucUtIuHKCUGWBVXxsTY8doDToNVScFjvKzo2dwIF7BdeM2CqcraQW4+7XFtI7p4cK67WIO3XdgAYkdFVx8zjoafYPOmDYD/O7RJeSrTD65+DliSpqM5ee+A/MJ/7IU+eZeLm14g6TbLuanv34XoR6b8z69SjhDK+PjyX6mmn3Xh/j0omVi7N2z7Gxa/pSh9LudnFJ6iIBkcCBXxdYvTmdorMYHbnxWkEa/tfEcmh5SCHymi7Oqdwkn6977L8SW4Pprn3eJzU7FUJmaJmEcdxZkyeIX++aT3FfKDWetFLpfFUqKW1deQWtrD1c1bASgQRvkkfgp7Oiv49KmrUJnzBPyHNRDjA70ix5YTnoiKrhEHlneI/TXaAmBBozsHzZyvHvjwOs3dzw1Lx13LlwnwUMQvPSKV3XooRPeMTxOkVdU4DkbnsUUR7ndoyJ489urttVtp7WD12fMq1TyOCteD7Sci3x7+j3effKceEAIZHqIhRccZEwnneRxLgHx+55emFesYSKxP1ODKpu0BXsAp58kwCPt0zm36S0mBLs4XKgkouR4unsqB/fWct381xgXOEZHvhJNNrhn1VKw4Zw52xgb7CWmZFgen0LXT8fSvdDio6e9JPaKH6w9i6YnJapuO8i8soNulWaIB35xJrEOg7lf3iha6OxK17P5rukkWmXe997nBSf0YLaKdb+YQeL0HJ+d8bxQ93+hZxKH1zdyxplbmRntcIpiLJW1A630piNcNXqTI+Tqpq43JlvJmhozoocZMMKMDfSQszT25mpFjzWPQ1ShpDhYqHLSu0pGFJk46du0UDpPGCFODnWQNIPsGYhx56kvFavG/lrmKaBqkskR3SGHeht2ztaEaJW3UHol7xl8MKKCy3NOPGjQko8TleOuCmze0sACRbaEimezPy4mstfEUsdRIfVLutDScDbRAopi0a2XCseox5WjL1fTorJMkSywLfKWc34eEuX5EV5kZtrHy8dHVj95yqEKNiEX2u/VS0SJtW6rrsKvgyZ4ZaleHrtScwh0HlLiSet76I1iW6JyxBMJ8xZPZxGUjjsM+ChX0qL813kuDvwblXNossnhfIUoG/a5rSe88lcvt6zbiiijnRDsdnkUWSzpuAyCbDsOhobT0NRz1ixbJuOWnKfMADmchVzDFA5WekTfJO+ZeWMj4BLMM6Yf3U0RlKlp4roDr+dHSBA4FWQhdqXrKNUynBQ6IqQKtqfrGCyEmFd24AQU55EjMxgTizMn1o6G8zvrk2N5budkbpn1CknXedZthXvePB1JsvnI5FfJmH5CSp79mRpeWj6DurldXNO4AU0y2JWt5w+vzyFwxMcNl71Isy/OwXw1xwolrPvpLOJzTL58xhOC3/LzbQto+p3Coc8f4ZKazQyYEeJ6lDd+Og3TD1M/3ulIBtg2Tx05iYrbFJ65dSpfnfsEOUtjW6aZ9mdaaVib4eBdlUyNdAKwN13L2N/pdC5tJHD5ZnesKAzsL2fUaoOBxWEafYOutlKY0DEbW/W0oZy0adRfIF2m0ODPOiXartBiZmqW/NEAihfZ2zKTSrp56LrRNI87JpRsQ3Kedy9dz8pJbVxWsYsGzUmzlqspEl8KoluK2HQiSo5bZq4kMe14rziv2vGaa18Um7JnsjumA24RhjP3ctw64UUGxkZGpPZMLDvK7ac9S0AqkDAdXtTufB2nlLSzsHS30w7DRVOjcs7VQHJ4Td780yRnbJtIDJhhxvu72Z5tEu05enSn/6HiksU9BMdLbeYtjQb/IK+nW6jRhkV1l3N+zgJjIqGPcC68tccT9nPGuSTWJu8cvbSQ5wR5Tr1DsI2IOSUjMdbfw/58jePAywY1SoKkFaCrUIbi8l2c+4vQJFqbGMOEcI/Tr8rdiHel6yhYKidFjrInU8OUcBcJM8hv3jyVSDjHtWM2CmT09aEmdj/fxoSz93FR9TZH6NPycc+KpZTtlJn/oddpCzpSFkfzZWz5/nQSLTJ1V70oUMQHjsym8gdBHrzhFD56yis0+pyx1PFGA2OfybHn5BomBzudFk5GiOheBVuFxtOdMV6hpmgMDbG/WiZQmRZOo4nE9PGHeOP8Fk6L9ojXQ3KBMZfuoycTpcnfL1JjE8Nd6J+Qibhl7J4swajAAKNueUnwfJy0VpYPNK6h/2KH3zNohJEli5ia4dTydmJVWcFJsmyJgKwzNXwEr+l3uZpie2YUNdqwW6TjcPACblpdt2PEXKXqhBlymvRKslvV6hOVyVElJ0Q9S5SioOJf1XKWSqlkioihPV+FJcsCBRjr72F7dhReR2Kvq7GHBIRc7kHSCrAmNZ5yNUW9NuhA8npI8ItkySaPp6OhiGjMtJ00m9dXzJOtB0SzwFLFKePO4Ij6jRTuKlfTeJobuquL4aVRPIg6LOc5WigTOheOYJUpkAsP0fG6oFdqTmNDWbKEWJmHVMQNxyHy1E8zlk+Un+tKnrGBHtrzVcBxcp7TsNRENxWO5svwy4bbkNIp9c9bGofzzjHqfAkAUY67P1PN2JCzuHjO5MimqppkMiXYSb8Z4ZneqYTUAovLd4sNqLtQSkjJi03Ji/RW97exv6+Sa8ZtQpMNgeD9+I1FlMbSvH/MOrG4vzo4jtdXT2D26bu4uHILHYVKBo0wP9+6APVwgA++6wXKlTQZfLTnq1j2wDwyU7N8ffYTQhfp1/vm4nuqlLrr23lX9Van2kqyeOj+JeTLbD548QuEXOf24Y5TiH47yoEPSDTMdJ6hX7J49Znp1L+W59B3EkwKdWHZMnuzVQS+W8bm2bWcck2Hm8rSeH73RCZ8e5jH75rGdW6FC0D0hTCBhMXAF8NMDB5Fweahvlk0PZdhX30VeoPCgBmmxd+HPKwSOWLTW3BkApr9cfp1l1Pgc1pxJM0AMTVDQ9UQg+PrGO3PoLj91crVNH0LDJBtUcGlSQYL6/bz6M2ncNr43WLjLldTjL9oL/vmV/GuSKdINZxacoDur5VwZiTujlUn+n33aRuJLMojY1PjVlEGZJ2Lb3nFceqVnGhu+97GTei3qqIE3NNJum3W8+RnaMIRNi2JyaGj/Pic3xCWCqRdPlCp7BCPm1oGGDTCHMhVk7dUytQMJ0ePEJILNGiD7M7W0eR3JBm8QggPcQHEvPFI2+A05i2Rs0KjKWEGhePqEcOd9IuNJjtz1pKkE+aI4xT70CSDAcOpqsy73AyvOscLfsKyU76+N1dLjTbM/nwt1dqwQDMV+ThqDKCjjKj4c+QwPD2vGm2IjkKlaJbsIUAeghJTnDRbdyFGSCkIZAvbIdjvGK5nQfl+gQ7lbJXnjk3GrxicW71TVJD26CU88uqpzJixn6UVDsI2yXeMVxITqfCl8EsGA4Rp9fXxSmYiq38/k1y1zS3vXuZcg63wZOfJBL8ZY+2Nrdxy8koHTbUCvLpsOo0vZch/W+Wcih3otsqhXAW1j/pJ1YXQb3Kq3UwkDg2VU7XN4NCccpIVQcfZssD22Zh+STh0uq0SUgocm2cTqB8+QXtoQfUBHrlxBotb94hACeCcM7bQNaeEmbEOevRSyhWn/cm7379K3G8Fi4P5akYH4lz3b8+JdCU4Af2iir0sOO14kOShXmdVviXoCRZOOxfLlpka6RT8J29P8jID3vOLG1F6LY2Az9kj8i4xOio7StiVapKoK7SatzQ02RT7Dzbkccahtw96GlLCmVKy5C0Nn5xHlxQGrTAR22nr41Vye/fP49N56Pzf0v7pHaEBPUx3uoSpESdV4sCbCq8OjqNEyzEx1E2lmhKL0ssDEyn1ZZkZOURYzQuZ/1f6xnFSaRdnR3fw1PB0dEtBk01WxdtYWLlPCP7Jks2+bA3rels4p/4tFNUSpfrP9U0mUQjy7rptyFjotrNg/mDvEppjg5xV+Zb7GxZvZep54eAEpjUc5b3VG4W2zsrB8Ww5PIorJ71OnTYkFFYffGsWti3xwZNeo9E34BJaS3hk7Rzqx/TxrsZtYrI+3zeZfS+3Mn7JAS6s3uYs2pLJD7YvQdse4V3vWcO44DGnI7oR4o+PnkG2ucDH575E2vLT4BtkWe9JHLuvhexlCT454WWBmDy44VRq1shMvuVNzizbyf58DaYt89Kv5lKIwqeue5yA7HTyfvrYVArfquPFqybxyVNeApxF3+GMpMVm0m9GyFsavfeNxlIlTv3MQRdRcsr3hUy9pQqi8d5VLYx6Mcexu0oYHzqGbivE9SgNj2okmitRxliiEmNnXy2tjyZ5vXUUs2KHhBPr2x+kYqdJ+1lVVEWd7tWGJRPptEg3+YQzGZB0VJeborqLVEBylMDTjRZWyBKokYLNjKpOVp4+g0lN7cJBT1t+grP6OVgfY4HqOG1V6jADvjAvfsBkTG2HWHBSZoDrpm7gka9P56r618WY0TCZfdMbDOsBkTYcMkMsrNtP/AcRzgj1idRFztb4tzNfJrPE52obOcTvSaEuGj79PLJkOa0YXF7dNU0bGPxQWDT+tVxdptvmLxOaWd74b/IP8M0lj1CwFfbm6lyNLYmlFbs4q/Itxvh6eHl4MjE1i1/WuahmGwGpwIAZIaE7qIvX+iZpBejSy0T6yUMsPeVtQKSYM5YfBZuAWyLuNVRNmQGQEdHyoUIVCSNEvW+QjnylG2wookzcsGQa/INCjTphBjlgV9PkHyBnq1RJJj0u+uIht16KLeXqSnn8L69rvbeJmraM362y9MTkPCfeuYYoflkSLRY8gc5B0+kenrQCDifMde4BQZT1UugHMpW0hPqFqKdPMjiSK+eFxETOqtklxDZ1W+GXe+bSXD7InPJDhDQH/Xmsbyavr57AosVbmRjuBuBIrpzHN80i1KFy5ZUrxHq3JdnEnh9O5tg8m08vXQa2g779dsccxvzU4vF/j3LVKCfNlzBCZH5Zz2BMInHzQWfcYbF1oJFxv0uxOTyapfN2YdkyTyVPpjkYp9kXpz1fLVLuqmxiK2D6PYFUJ1ibWNbD6sW1jKs7JNaNkFygZeEh9o2rZmlJp0jBjAoMMPDZt/DJxwsvFGyubH2d3jtLaPIPuPfdQbU+ftoLKKd5YqIOOjM1eIQbF60YoTfnVCTW+RJ8YtrLjgSHFRAOxNhQjyg2yFh+DhcqKFPTtPj7TtB7smyZmJxHRxXBTc5W0S1VcNQ8R9Qj44/k+XkkdDhO8vdK6r1U7UiR3ImBLnbl6gXh28Rpht1bKCFr+lBlk2otiSYbROWcuCdeoO6hP3W+IRJmkPZsFfX+IQBibgB+OF/OiqNtnFG/n7ZgD163hFf6xrF3VyPnzd7K7OgB8jjX+5PNZxDYAvDC/3i//0vtn75qbNnqmez8wUmsG2oVAytpBdjx8CS2/HAaPXqJEJ7bmmri0I/Gs+ahGXTrpSTNIOVqim3DjRS+VccTL5zK8uRUxgWOMSbQy6P7p2F8vopf7HDKyMvVFCkzwOMr5xC6M8ra/lZBGE2ZAfY/0Yb+41qBjgDsSDUQvTfGrpfbiBtRcpZGVM6x7lgLTT+U2bBzDG9lG0RjwA27Wql6PMDmwSYHKbJl4nqU8Jow1X/yE9cjAtZPGgGanrUYWF3rVps4E6A3HaFxVZY3j9aJsn/LljH6gsQOWOxO1rhpozyDRohA3EYd8NSGvS72FtiIiEU0hIzqFCISfsXhFzT6HPXuVJNNttYS2iSWLdMa7adnpo+62kGiSpZevcTROlFyTurDhd/DbpXPwPlZ0hcOC/6FJ3CZMEOUK2k02RD9yhaf+wZDt6XdHjluV2S5QOWn2pl/zRZG++JOd3ZJ55qxG4ncdYwPTFor0hoZy8elF6/m9DvWMTHULar8WoN9XHLHi7xnwQbhhOm2yrWtG/nArU+xqGKvu0jJROUcnzrnWTfF5GycJhLnlG7nistWclntZjKWX1So3NS2mi+f8QR12hB5S6PfjFCupvn0tBe5qn6DWPRNJMYGerhlwkoqtaQoFbZsmZmRQ8wtPYAsWXQUKkmYIaaHOjilpF20pPDMI3TmLU0sql6rjVIlI9A1j9DsLapOdZUqdKI8Lli9NsiBnNOUc9gKMmBGRBrVcTQch2FHbhTVvmGBAOYtjaRL2pclR0RzZEWSbis0+xzEaG+uTow/T3APGFFh5qAaXpf0hNv2wWuULGOJlKVpy/QVoqJBZEguMD7QxYxIB6O0AaHSa9kyo7R+DuQcnsPBfDW9BYe3MLJ8eU+mlqQZYH+uRvC2FGweODKb7alGklaQRt8AUTnH8t4p/MfWxRzIVROVs0TlHFvSo7l33RncvX2hED6Myjme75vEQz87k193zickF0RlWMoMjNjkHJHWXala2r8zkd9tm3N8I7U0nls5A/XzMd4YHiUCgIQZpOpXIbofGX2CEOLu/mpankjzWmcrUdlBA2r9CdSE2+jX9AkeW6UvxfBoGUr1E8qwT27qpP3dIaZVdIpnU6klCby/m7LLjlKpJqlQUvToMZbW7EL+7gDXnbIOOC4fAdBRqMR0UfSjehkzwoe4+n0vcut5T4sNWZNMTilp53NXPMq51TuxbFm0u1hYuY87ZiwTGk0enWFp2VuMD/XgVRt6gXCTf8Bd98LvwC08nmLtNyPi+XjVXN7c8FAYQFQrh+QCA2aYATPi3DfV6Xqfc7/jjWOPnO6ZV3XmBdNJl0PlpSy9dKuzNtsie+CXdZJmgISL3njIi4zNqvg4ugsxt2LNQfVfHx7N3W+dzlupenEfFpTsZddQLb96cy7lSppyNSUKQ3700jn89NlzGTDCVKrDzrxONvD6T6fzyw2nuU2JHefs5c5xlP4wyjP7p4jryph+9uxtYNRym8OZMpEKliULUhq+xN+WuvxPT5ae+OBnyXfWcO7i15kU6qLNf4x16TZ+uWkBUlrh2oVrqNOGkCWblBngx2uXoIQNbp3ueKMmMr16Cb9dN5/60XGub16PbjttALamm3hy4wxmTjnIwvJ9zoIrWTzXP4UNu1v5wClrRD+oXr2El3vG05eMcMuElUKpM2UGePboZFpKBphd2i7SQoNGmD91TGVxwz4mh446VWyyI/R3/8E5XNC0kwbfoCCo7krXkTU1FpbuFcqrNVqC1UPjCKt5poSPCv5CxvKzenAsp5XtFxGAl3PvLZQwLnhMTNKwnOeIXu6khlySpkdKzlsaddqgKNH0IvSRLSc8qf4hM4xlS4LE60GhXvRyHK7NiqqYkS0dAFp9vQyYEcE1yJh+KrWkgGEVbAHXe0iNp7WhSSZtPufZt/h76dbLqNESdBWcf8Nyni69TIwfEcG7kLPnLCjYtPp7eDM7CuA/pTFTAgnw0AXP+TSRxeLqOccjyZzewu/pQHmCkZ4YpQcxDxhhKrWkINx75OSJgaOsGp7A6EC/QI68dITnrHnmEUC96/Q2E+f4tkj7eC1hPIVxjxOSszXKlZQggnobrscz8kqXPTQDEK1QtmdGUamlxPG8Z++Rir1+b54sf50vIZyUgFTguf6TCKsFpkY6xT1OmQFW9I5nTEmcRv8grf5ejhkxVsbHs7+/kuvHrWeUNsD2zCjKtDR3r11MtDrFtWM3UqUmkbF4vGcmu1e1cv75G5gTPUDSDNKtl/L7JxYh6xL/H3v/HSZZXef9w69zTp2KXV3V3dU5TU/OOTAwTCBHQQUVFEFFEFTUFVdxTburu8Y1uxhXQQREkczAAAMzDBOZnFPPdPd0TtWV69Q55/nje77f7rmf6/c8v/vZ/fkHz13XdV/3OjNUV9f5hs/n/XmHuz7wgiLu/7VrIcaDCfIfH+EDrW+rZ/TQH64k2uGw8h93qM73teGZjH62kVM3lfGFdz2t1soPNlzL9IdS8L1R3lO/h4heYHtqMjt/sIRctc4H73pJjbSf6F6C/R+1JO9Ocfe0zapAlOvR1Gw1Fuwpxnlyw0pmLD/DZdVHlIHiSwNzOHi2gdsWbCfhSxMzMqScEI93LqWpbJQrqoR1hETG3k62cknlUeVtJP9c5NOJMNIZgR5OehllQU14htmurriCIlA3qP53sznEyUKdQjVkQSaLVBsdv1aiu1gh9pIndpBFLwhSdY9VoS52WazLvQMoZEX+G4nWSG6fgaMctOWoSO5xuSeyjl+lCMjRklzLE1EZxcf0noXcW1KEIs9DQJnHTnxe5woVGDjUBZLK623YjvBCz1waI0mWxs4AKGK4KPD9SmwwWIry+4MXoHWFuPXKTSR8aVUAvfDohRRjLrdf/xoJL5D1tcGZpP6tibPXGXx0zRvqd/nZvrVM/jmUf7uL77Q8xTm7jLxjcvdrd5DY5qPx9tPMKO/zPovG0y9dgFHQuOb6bUwOCQHF2VyCFzcvonL6MLdM2qW+q65iBX87uoArph5lVqRb3QsdhSqOpmpZV3VcFZvyfOkcDvGjVc/+3cjS7/hC6GdvL8cJRxTsJ1UCE19y88nIDKkYk+Q/qdySCiwpSxVyRw0HXRGWpRpDvqR7K4iiamLeVlCz1MOXqjNZTI3a4fPywORGlBe97GBklz3ZP0DKCSoZuhitpBTnCVCqr6iXsl10DQZL5chgzriRVXb9eccUElO9NIHwLN5HfnYQl//JfB0F16dGjBL6nPiZk3ZY5WMl7YjyqpCXrFBrldR/N1HJJUmUMjvI1Gx6rLjqHCXpT16K9eboecouXXM5V6xQWVbVvjHaCzXEjCwdhSrlXhzUhI1CshRWoaB+j+Q5jjxo3kFWVIWl9PCR6FjWCShbe0AZhskAUHmwytfE3DTJ1ZBzdjl77ypWMjXYR1exUpG6x0dDhjrgxyNE0kx0CT+TT1DhE6aMpscf6ynGGLIiTA4NKqO/rONn5+gkEoEMcyLnlLfVoWyjgrerzIzI7nKCvDIwi1MDCT4+awsgOD49Vpw/bryY5tm93Nw0ToB+7OxSMhtruOID21RGV9IO8YeHryRf7XD3VRuo9SXpK8V46MQK4g9Fqf7caa6tPqCyAB/7z8vxp1yuun8TLf4hbHSe6F6C73MRjt5XxndWP8H+bAtRI8/v/3I5dduKTP/XQywq6yCsF9iRmsLhf5pH9yqTH936O8JeHtaX9r2Hmv8KUfr0ECtr2gnoJRxX49lHVoEGH/rwBlX0P9c7j97nWpjx3mNcWXVImRT+9vCFFPvD3LdOqHTk8/jVvlWsnNzOili7sqAYtKKs757FVQ1HqPRl1IjlcLaBxsAIMSOnRAKWa6g9Ii/98eBOl5QdpME/ohqMoGZhaI4a+6XsIK2BQTF+sUPkXR+1viRdxSpivix1PrFOZV6iRJca/CNKhSXPu4wTwO+N+CzXoM8SLt7SXkE2ARML4Dpfkt5SjI5CFY6rMTPUg6E5DJSiajwovy/5s+TalaNgucbF/vIrGwlJApb7SyYDyL0v0RXZsEgVpfh7+7zmzcClpxhTY9FKX5qkHaa/GOVEuoYLKtqV5ULaDvJ4+2IqwjmuqjtE0EMzzuQT/O21FbQtOse1dQfEeeb4ePTUEnyvxln4oQMsjnYQ0C2Rh/foJYQGXa64dwuTguIZbR6ZRu+/TaFvickdN29Qij35e+Udk7BRUCq33zx/GZWHYP6n9jMr0kPCN8apQi1/eXwN+RqHuy591UOQShzMNLF+0yIa5vZxc9Nu1aieLSZ49tx8PtP2KlPMAYrodFpVrB+Zx5GRWlqiI8T9OaK+vGdILJCmteVH2JKaTsyXI2ZkVfMkn5Vsyiaed+NnXknZqUSNnPAYswPUmknGUi73L9vyf1Rj/1OvousjpNlkvUvZ9HyAZOEBkHRDJMyU2vSSvAxel2+bKpag2jdGRC/wdmbSefPhiR1uyg4RNXLYrq6kniA6Fil9lfP9pB0hrBdU0ZNVf59Vh43lGuOE6glya9l1m5pNxvF70lSxAB3vZ8uCQPeKK1MXo4MxJzQhO034IvWXytXnFGZgNgXbh+MVHJaH9MhX0g4T1EUS+MR8NuGNI2SRlivIiJZrKOKs7AJBdElyo09UkUhVmURmTM0GXfzMJv+w6sjKvIJFEjkFeTSgLvWEL0VQK6rfK+v62Z9tYW6oi2P5eqaHeumzYirSIGbk1O+DI5KkJ4cGFGIzaEU551kGJEwBE9eaSQZLUTYPTWVhvMvLNSowbEfYOTqJkUKYK2oPiy5OcxixIjxybBnz6ru5uOIkDqKAeH5gHnsOtfGe5btoDIwq5O2bb10HLnzloudUh7t7rIUDT8ym7MpebmvZrr73B7esI37QxyUf2eaNBUUI8OYfrGBgCXz1mie9bDiNR3esoPVpyHzlBIvLxeGctQOc+8k0TtTozLn3HEk7TN61eO7UXNq+XuC5r8/lvnkb1Zo++0IbtQctkv8eosYcI++adOUqmPy3AmeK9ViNBlKm3NcTZ9L+Ip03VKgQ5KieR7PByGkej0qYLcZCeZJtcRoNW43r0GF0cRFsTf0sgFWJU/z+3lWsmHVSmZrGjCzLrjrI8RU1rCw/RXexgrC/QHNwmN6vnmFZ2SD7ci3EvH11RdtRkl8NETNziuwf1gtc/8E3aQkMeQ1HgKiR48NNWxn9+D4AtUbDepEvzNtw3oGfdwXS9/Wlz3oFgk6Db5ST+VraAv3c3ppUii3RRDkeSV6MKSWiIIrh4nmoxMQgX1Mveb45wrBzf65ZRMV4hOyYT1hxiPifPKZbUiG97QVhBzIt0Is0SZT2C/KsMjVbRROZekmNZMT5mCFlh8T36BWEMSOnpPdZx69Gv1LVBMLHRzSNgsCbLIWVGsxGQ/dMaE/nqmkMjJ6H0HbmKznp1NAWGiRqCOLtmXyCF8/M5qKm00wN93sRJzrre+fQuauRxRcf46qqg4T1IgczjbywcSl6Ce649jUqfWkMXF7un8XYL5vJ3JLkzmlvKaXgsxtW0Pxyke7vjDAr0u0ZIfoJPFbBcLwK6xPHCPvEGXMsVUvLeouTlbVYtYcFMuZLkc/5qRpxsD0/I9MVie3ZNotClUHYKKrv+oL4aX52ayuttX2KrzhxBGp4TaG0zrj16k3krzSpNcW4edguo9E/wr0felYF1uZdHzEjw/yyTmZd3U3cK1pqzVGCmsW0QB8/nP44Ya1EZynGqBPmeL4eU7eZVD7seXeJtW1qNpOCgxQc0/PGKinie62ZVPtS8vPk2pZWIzEjR8HVVUGadEPonvGtOLcD2IzfM3+P1zu+EAJxeYWNgrowhQLDVuMFnPGQznRJwLiyugUU+mHqNgOlcvKujznhc+ent+sTvHIwlF9GpU+45Uo1VsoJMj3Yo1KdJcdFVs5CCltSqELUg2czTkCZIuYdITmX6hhpUjVulV9Q/1Z1jq4rUuVLYbJaQKlXas2kyOtC5IxtS02lKTBCk39YQJT5SgacKFGfVyQYGQZLImV+31gTUTPB8mi7cH52fbQXqtk62Mb7G3cJ1AKXlB1i6/BkhvNhrm/cj6nZxH1ZTuVrePHMbKYn+pVcVddcTuZqeHHvPG5asssjLopk40falzPYFecTF20U6hyE7P/3G9ZSO6efaxsOqYL0+d659G1oYvGNB1lc3kHCg8F/8fTVANTf+BxhQ8D+xzO1HPrpXAauLvCFxS8TN0QW1n9svZyWp3UGv3SS6xP7MHA4Zdfw1k+XYYU1PnDPBlXA/q1zAfGvBnj0s3V8YcnLAnJ3fBz92wxi7Ta9/3RO+Y20ZxM0/dhg/xXTWXPTcQJeYbvncBszfpfjyMw6mmuGlfQ4scXENWD4gojyZBrMR6g6VKT3IsHlkj5Amq1h5ESIpZL36xaZRh2nQjwjU7Mp0y0aWofovaCWK8p6FP8hqFv0XGMRLhfE5JFShDBFPjhjJ//1wEqun3pAXcBRPc/y9+yn40qBtklvkGXl7Qz9S4TbK84CqEvziytf5OD8JhaVnVWoat41ueXDr4oAYm/8CvCpto30fiymxg0y1uaBi15QSIAcSSTMFN+55HG6rQoO5pppCwxgaA7Lys+yMNqlPGm6ilVEjTyXVQkHY4nGBnWLeeEuokbO491pGB6quTByFsfVFYrbV4gppE+OK1KlsEIiZYYdoJQ3HcUECZ8YZ0rVlySnKkTCDmAYLvaEpkqiJOeKFTx5egGL6rpYVn7W4+eNhzHLMaihCYsQ+b+nBvoYsstoz1fRFhgQP8dDbIQc2qfihnp1YeApL86eYoyWwDDVvhTHc4JjmLYD9GRrmFd2To1EbTSe7ZnP5OgQC6MdSIn11tQUNhyezTVzDjI5NKAQm5/vWYNTNLhj6VuKP3Yk08CbDy0hfUFOedsA/Hb/hTQ9btL1hXbeW7ubPivGcCnC1t8sxpeDhs9vYrJvjIFSOedycWoeDLHh+vksuexZ1UCePlnHlPUFsiv96B5xvNyXxz+qodsoUQFAc2SULVNbqS8TCF1fSYRFNy89x+nKWlb7xeeV5PbAHb3UBzPEfFlVAN9Qs5e3vpnm4tCIeo62q3PP/E0Mz44o4YAk+N+/ar24PzyPpRGvOf3akmcVuVtGXIhIGFE8ppyg4nHKzxPVcyQ9WoSwYIgJk2A0774IKbRQBuLKe8rQXE5ZQg08UCpn0IoyZEWwXY3G0CijVoi4maPSl6Et0K+aqa5ilborJFdKjv8lgm+5PgquqXhWkkvVXRQiCGm+K0QmJbaOTsbKFIHN/xu3/H/v9Y4vhI5l69nWM5NVDadZEOnEQsDM25NtHOiv5z1t+xTMH9aLbOyfzkg2xIenbCdsFBTn4/cnVxDw2XywbQcxz0U6WQrzm92rmN7Sy7W1B1W3fiRTz4ad87lg4XHWVh4DxIH1ZM8iTu5p5rbLNqn08qzj56c7LgHN5f4VL6vOPmmHeOyZ1Wgz0vzLwmfotipI20H2jDVz+MmZlF/ey32TXwXgUK6JPx1aRnBvmEvfv4OZIaH0yNoBHvnrJaDBHe/dQN71Y2gOJ3I1bP/JUvpXlZi1uhtDE1Lp7x6+ksqHIhz5ZB+3NO0kXQpS7svz8iMXYI65XHX3FvKuQGG2Jydz7tvT6FtmsOgm4S5t4PDEsUVM+oHLz768hjumbkdmp516bgpVBy16vxljWqgPA4f2TBW1PwtybMU08rcdVp3xGx1TmPnTFM9/bQ73zd6o+FSZbQla37Y4t1Q4Zzebwzw3tICm12w6jRoqW7YDQrl0tr+SlrcLDF5VhhmzqfMlOVmoxT+mYeRRJnMpO4RPtymFNDRN8AuCnut3eSLD6JQK5vkziusQ1C0GLrDBdNSGzzgB1tSf5K+3XMDKKUep9qU4WxQjyNprOulLlVHjFyMx3XWZWdbD/i81sLTyDFE9R97102fF+PDKLbw1bTLrEifUZWZqJVZ/cju6JkIJ/VqJUSfMVbWHOPftbhoDIx7RUPCRPr/uBQZXRVWIY97L4vr0R57CccdTvYNakRub9kGTF6HgdZ1hvcg/Ll8PCLSyyT+sVE9fXfa85wYs0ERH17k4fpx8uTkufUW49V5eLRSQ8oKW4+iGwKjqaMuMPDFdxEuIbC/xvnmP2yR5HrIROZxtoMaf8jK0RLcuUchuq0JxxGThLC/DwVJUSIKNPLXmKEdyjZ7XjvDZqvBlFAIqRw5B3VJNQsoRnLRhK6rGsgJJLSlfrxmBPo7l6wEUaiJVYzEvW28iF6vgmKQ8p3JxGYgxjMjsKqhxWdTI8/JgA+bLMbZcFGDZorMK/TydrePEWDWX1R4h6DkWJ0tRHj+1mDk1vZgxwUWp94/ywsA8Dr09ievX7FKjt6Qd5ucbrkBz4I7LX1eK2h3JSbQ/OIPMu8d4YM56EmaaYTvCX166iIY3SoT+xWJO5BwBXeQIWj+rY/vkJq76xAE6rUoGS1F29rYw/ad5Xr5/Jp+e3ysiXNwgoYMhzAykFwW8jDuXjO3HP+bi2JriF1quQU3VGIPzapnsz6vvLubLklqbRdNd6s1RxhyBvi+KdfDHe+t4b8tRdd4GNYtPXLSR4wtrmRftIu/68XsI2e0f2CD8bFxNFafzy7qYc6uwnJC8JQOHG+v3YddrKs5CjuRvbd6hijbAG5cHmFPWrZrugmOCLprTgN9SBYLMuFQjJI+6IYnVlusbJ/yXwoSNguIIyQZ44kuKDgK6Ba6hkFUZACwb5bTmYLs6BW9Eq2s+9Xd9xXJCehGfLjh5k4JDDJeE1UZddJQThToqjTQDpXKe7F5EdSjN2opjqgg6kavh2X0LWDajnUsqj3rnuY8nuhYzsKWeC645wMrYKQrSVPT1tVQc1Fn58d1cXbGPXZnJZB0/hx+bhdmb5e/5escXQi+fmsGUXwV4+xvN1PnHxKWvOWzdNpMpf8mx6V+mcnPD2wQ1oTjqX99E1WGL4/9cx5KyM1iuQU8xRuTPMUoBDevzBtP9vbySmsPRVC2T/gjta1oI3LRHkfJ29rYw9Y95dla0sjR2FksXI5tjxxuZ+rc8O5e0cnXNQbUpogf9+HIuI0uE10etOcqRbD3Vex0GKKN7jsgHivry9GWjVB6xGLwoRJ8VR9ccaswx7KJBYMglUxIW9ZVGhrBRwNXBKIwTmSt8GfqLUfIVGnqopFCtiF6gpWKEzukxZgTF/L3MyJO1A2Tm5HEzPhJmmkFLJBbXB5O8vk6ncrpIl5ZREGvbTvDq+xZwaYMoMLuKlSJj66pOzi6p4Mag6B5G7TCLY5387R8quSBxTBQ7tugwPz5zCw99cwW3TtrlIS4Gg06US254m8GrI8yNnMNxNTJOgJXxU+z+aok1IeE+LJLtc9w7fxOD3yujMTCC4+r0eg7Zd972Amk7qNQwuuawJHqW5vtG1AFnajYDpSh3TX8Tpo935pbjo8U/xANrngPE4SMdvdsCA9x/zbNYrk/FKlT4MtxYvxezwVbfsZSef3baq4KHZZcxUoowK9jNkF0m/r3HnZGj22mhPmTGUMrzqLFcg5mhHnXBFhyTrBtgcqBfIQ/yJYoCsdUl1+NkvlbxHeQoUff8VEwYv7i9g35p+DRnitXsSE9mTuScIs9KbpwsWiTPw/Y+k7z4Rb6YKC6kwWjaFmo0AAeNtkC/MuysMtJ0WxVqxJy0wzQHhxU3C8Z5H7JTzntdtnxvyQGxHBkz4qPPi58ZsSKYfhFMKi/HQ+lGpkd6SZgpNdqJ6AWVDQYQ82UZsSI82zufZYmzNAZG1d7a0DeTzoEK3jdrNy2BIXTdpacY5w9vXkxZ4xgfnbZVPFPN4alzCxl9roGZ7z/K2opj6nt67umV+LLw/tteo8wTFlT4c+S2JhlZFFFcEV1zeGnjYlpfKLDv39JcVnmYlB2iPZug6lcR3l47g+XXnlFqpkMd9bQ9U+TIgjoaa0eU+jN8TkdzUT5bNjohwyJbq+E4Gn1WjLnBTg4XGjGnjdEZiPKJ8mPsTLfRGBilMTDKix/KkohmyHijzkojzaVNx9n+b5O4pe44ILiMZUaeS27eyYJIJ8fzdapQXBM/xpTPDyjvMtkAfGTSVoxJImRWrHtR7N2/cIMaI+VdEWAa1fPcOe0tRQJ3XB00cd5dGDupRAWymAgbeUXmloKAiRxIud8kGmO7wt5AqmMlmijPATkGMjXbi+wwFHXAcoVnljSSDegWKc/iQvJWI94oXe4VWfjJ4lw2OlJZHAsM0e8pnnsLMXKOn9bgEKZrq4Dv5zrnMq1iQIlwso6f45laNu6cw/LFJ5gb7SbsEcP/fHIR+tYYl96yg2XhdgDGnBC/fPpKzDGN2297SaCWuBzMNFD6cR2HZvhYfoewG7EweKNrKq1/0dh5cxtTFw3QEhjCQad7ME7T2xZda+IUol5ig2tCzKJQGcRydc5ZlcK7SktSXDPG6KADf/7v3v7/91/veLL0F9+6msfbV3HXgjcBUXk3+YfYlprK62encuOU/STMtOKAPNc/n/5MGe9qOqAs3m105QF0bd1BGswRBjw+zZbRKUSMIvOiwilXdrdvDE5jVdUpNeePG1lO5mvZPjyJq2sOKY8PqRxwXI3Z4W5VXYf1AqfyNQBMCg5Sruew0em24qTtoDJPlGTDoFbkeL6eJv/wed2ohCETvjElUZTwvYEYl/WVxAhQKkxklywPm4mqjInKEIAGc4Q+K06fVc7UYB/dReE9I7kakls1kWwuD1z52WVXJcnCUnFSdH2KrCz/Xh46UlVV6UszXCo7jzMhu0Ep25WFQszInje6kIobEGqUpB1RCi35Pq3+QUbtsChwPHNBSZaEceWOPGAlwbq7WEHYKCjkQ8pcpR+HRNAkkVs+Txm7YbmGIp/CuIpNjpQmEv4nRpTIZzgRmp4Y0yFHpZKDJQ9cqWCbKCqQvJCJyjFJ3pY8AEkGlUox+Xn6i1EqzKwi9JqaTZ9V7mX+CUfkGnNMWfmn7QBXlB/kQL5ZJHPj8lTnfOZV9TCnrFvB/493LqU/WcbHZr91XiH0s9cup376ALe27FSjs791LiC1uYZF1x9mZfyUukh+/8TllMIud177ikCD7RDP9c6j8B/1jN09xsemvqXWpFT3xDx7h6zt542+qQS/V8HpWzXuXbFRFaz/+dyVtL5UoO5bp1ldIZQwRzIN7Pv3hQzNMfjkLc8qvt8Pj15K7L+iGJ/q46bG3UT0AmcLCR7auBpzTOMj735FPbPhUoQ/v7CK1hVd3NzwthJwvDQwm47ROKsa271Q0BwOOj85vo5ldR3ML+tSPMCs42ffWDMLyjuV9Fpe/JIfJ9exfIaVRkapZuvNUUVwlv89cJ7ySyqw5N6TXKNur/iUdIQGc4TTxWr1HlE9f957T3wPuY6lqkj+mXzuE6M+ZFaXREHkmSGbtGE7ct55Jke2cl9L7x855pRn8XApQtQL3ZXrQtcclYUXM3LqO+ix4gwVy2gNDZ5HEj6QauLUWIIr6o6ovWK5Br88tIpgwOKe6ZvUPj2SaeC1Z5ZQdsGAirbIOn5+susS4lsDNN3SznU1+wlqRQ7lmlj/0IX4R10uv28LjQFR5L45Oo2er06he1WAu9/3gsqgfPTwUiZ/t8SxT4W4d8VGqn0ponqeL+58L9XPBWj91HEuip9Se/unmy/DN2Zw61WbmB7sBYQA6Kc715GoTvHBth3qvhoulfFC9xxW155kUnBQcU9rfGP8qms1F1ad9rzAxu+ZiUR5GI95KaaL/4cs/T/5qjbH+PrSZwnqFkdyjWq+PydyjoVzOghqRWXYFdYLaoFZHnFZPpgba/Z4ZMk8Z72ZP8BVVQeVtF2GA5YZed5bt1s4lnqEZZGuneLGur2U6zlOFmqp8GWU34XkS5iaMDe00ZkUHFQddqdVSbUvRaWROe8iLbgmplvCwke9X6ilEr4xdM1URUWtl0UmL+KUE6TBHFWIhDQklBJWqciQHb7M8Ek5QbWB5aHUZ8XFpe0TijNpaChnyPLSlnL7iZlYyVKYqcE+ddDZjqaUY7Zn9S55VDI0UBINgx6pcqAUVXwpEL4dpl5Sl5P8bhUM7eApQsRcWpK8U8Uq5VAt5fplRl5xLmw0woZIX0566eli9p71CiVDQb6AKqQAdVD0FGPUeCOZia6qCV9avK8dwnZ1EmaKAJbisUgERZpMysLuZK6Gan+KCl9Gkcz3Z5rpyFRwWfWR8y6rlwdnE/YVubDitPcePk7nqnn1zHSumXyI5qAooB1cHm1fwchYmI/O3apUS3tTLWx6ZT7VS/q4puGQOswfPHwhvrejXP3+rcR8OcF5K4V49fcXkG51eODap9SF8tTp+dQ8GCL3uRHubtuskut/8Ph7KOt0CXyuJEZWrs6f2xdQ86MQm+6KMH1enyJdDr1eT90+i3P/KkJWHVfnXCFOy4sOXYVakg1CnVhm5OkfLKf5QAnzBnHQxqXiMgN2UDRF0j27NjzGnjktNEdTCnGa7B/grdRUKswsfi8xO2bkuLVlJz/86GVc1NZ+nnjg2st3cmhZPYvLOxTheX5ZJ5Gviqagzpek26rgeK6Ou6a/SfJfwypwU6oMP3v5i8B4ZlfBMZke7OEzNz6nmggQF/FNdW9j1gv0MqIXlKz8E9M2E9SKipuUd01iRo7LKg+Td0yPJJtUhWGLf5Bhu0ytlZiRVeZ2svGQ54OMa3C0cTVqQBs/I7LuePMk7SIcV8dCFDwpN0hvKabsIGw0RUsQI1tLIZoTibcS/ZF7VvIpg7ql0M8juQbq/aNU+1LjRG+3xK5kK8vj7d7nT9NjVbBxYDqTo0PMiZxTzerb6Uls7Z7ERQ3tXiMiCvYnTi0idybKLZdsUVE/HYUqXvzjhaQnidw7WbA91T6fyv+M8OqdBT4153UqjTRJO8KWl+bT/FqOo9+uZUUsKzhIxQqqnwhRKI/A/aiCpyNbQd32Iu2NFZhtoumaHTxHIGyh2wHCvqIqHKJGnrF5RbSsQdkEL6jF5R08+PEWZtaf876zADXmGP+w4BVO/baGe6PHKNfz7M23MGqHuW3udoZmRJgW6lfIVczIcP+aF5FqaBlkG9YL3L9C2MtIub+N4OHd1Lxb3RtdxSpMvUREL/Deut3n8QIjE7y98q6pxn1yrcgm9u/1escbKhZccdl3WxVU+gQXYtgu87pfjaQdodKzxc86AfVnEvqXMHve9f+/bcpxMzyfQi0cV1NIj+QpiI5dLFw5TpHdgkxBjhkZ6nxJ+q1y+q1y/JqQ70o30bQdVGMIy0NWQByYsmCTF27KCalOX3IRIp5EPqwXVQBj1kNrLI+PIdn9AhUY99foKlbSY8XVz5Nd8sTuaNxYbBxhkLJ3OStPlkLnHTAJU7jnjkd1jP97GYba5B8mawe8okg4o9peYjSIIudorp5kKawKsrBeJO/6OJhp8IwMSwQ8UrmNIARLEz3b6wplIKb8HWTB9vDJ5ZzOVasLL+/62Dgwg4faVwjZvvffjFgRHty1mqd6FgqZvCny7J49N48fbryKt5JTmRM+R1gvCoL3S+v42e61auRS7Rvj5Z5ZPPuzNTzeuRQYVwb98aU1vPDgKvqscqH60WwOpBvZ/50FPLx5FYBXpBq8uH8u+W/U83L/bABVuA79rpUzv58GoNC6V89Mp+nHBq90zhi/sFyD3OYEFRtCyuMo6/hJlQI0bC5xrrMKgDozScoOUkgGiXY4ZOwAMSNHgzmCrrnYIXCCrirYTa3Ewrpz9C/201Y+jO4V+FEjR2j5IEOXCYftrC0usNWNp2m/02XtlBPKm6XWTLLmPbsxP99LY2BEeTRNCg4x5etHeN9lWwgbBTUO+selL7H0n3exJi5GT0O2yPb6wO2vcu8NL2JowsrB1EtcGDvFXbc/z7pqwekLaiXOFhPU+FOKByaKTXHRf2bha17BM75v6v1JPtCwU50PMrur1hyjLTDA6WI1lmswKTioVGFRD30U5PZxh2A5XhWjO9szGx1HSBxXp6tYyUApSp0vqbx+JAKSd/3MCnbTXqhWHbdsysJGQbmBBzyTzbiRJe/FI4jg0YIaj060z5AKvoBuqXidat8YR3LCiE+eAyOlCDJbKmaICJOOYhVn8gnO5BOqqTEQ/m3/dWYlXcUKqnxpcQag8XDnBfxo76WqMJU8mP987TK+v/0KxesK6BavDMzk9R+u5JH25QqFTttBvvfS9Zz79jRO56oV16y/GCX3H428+dhiso5fjT9fPjGT2m8YvHpmOjXmmMc303DejtHwpstYKeid8Z48P+WiFzS1PgO6xZzqXgYX+GmtEo2FCK0uMHn1GU7eodMWHiLiWYDU+0ep/PRZqj7UwcJgBwXH5HSumhtq9rLsO7v42IWbxFqwg0T1HHfM3MYV925hbrQbG10ZdH7xghf53Lr1agwHQjX58blbuDxxxCtqBOI12d/PpxObuSQ0TL8dJVkKcyDVREeukpztZ9hrPuX9JkdyEo2X4zuDceNTaXEgz2PHFcVtwkwR89zO5cv08sdkM5b0qAKysJXCCNf9+5Ym73hECMZHI7Kzl4e+NN6a6DoquzMZ1Col93ITCm+ONLrmYmgWlm2oTWB6Yw0QI5O0HaQtMEDSDivezqlCjfJcAC9PyB1PVJcJy6N2mJFShKO5EFOCAyIbCoeOYoKj6ToWlHeqWbUslE7nEsyK9KjDUtccegsxjqVqubDyNAkzpQqx1wdnUBsaY1FZBwABXSPrBPhzx2LmVPayMNoJeOZW+Qp29LRy65SdtBeqPXl4kd+dWknJNvjItK3ewaopW4ByPUfRNegrxRixgzzVPp/s0Tg3X7mFGv+YgrYf3LIOXLj34ldpNgUxd2+qiT1/nYt9wRj3zNqskJgHj64i+FI5s+44wkoPvh20ynjxzyspVLrcftVGNYZ6uW821g/q2PzRHHfNepOgbhHRC5zM1wqjQu/CkIaMMrHb1GxMxAjpt4cvZNK/O7z01VlMm9lHVM/TY8U5+/Ikqvdb5L9lKm5NVz5O2yNw9rImhq8+RcJMUedLcq49QcMbUFjso9uKq0M0dgJyySDRxXnlAh02i1hpF8vRlXoni59SuU2h0qcOurBepD6QZOt8nUBtmriRFR2wazBrcjdH39PMbZXjdv5hvUjpfUP4fTZN/iH2Z1uo9GW4bspBXv/SNK5qPC4uSw8+X3jDYUzdVt2vZfu4KH6KI/+a5argEAlfis5iFUHd4jMXbmBwWVQhbKKTH+PDH35JoQdSEbkyforVtx/3UE4/BVsUQp+Z9hqWpzgcKwXRNZe6QJJPLnxDFdl1wVFeHFnABdGTzAr3qDFhVBe+JjPLepB2/6ZuEfCK3sbAqFLfJe2Q9/cldfjKi17K2GWorfTmGS6VKff5rOtXgghp3SAvHlOzFTIsf2fJW5IE12ZzWEXlRPU8DeYIOzJTiPmyanwjVaC2tz/k2ZHwpYnoBXQc0oyHZU5EiBI+sb+Tdog+q5y6slEqfRlRNFmVdBdiwmfGEGjeYCnK28kWgobFsvKzmJqtjGJfbp/J9VMO0hYYELESrsEfTl7AaG+Uj6/cpFCUU/kafvzMDeRbCzxwwYtqPzx8YjnxP5VRc99pbqzZo5S6bz4oFJd33vW8koM/f24O8S/5+fMnlzH9YhGH0+IfpGdnPZOfTnPox/VcUymI2AXHpG6LRroxQHCJcE8WzZuGUXSxnPFg2HVlR3i0fgn9iwRiJBogP5OCQzz7oTyTa4ao9qXoLlaQdfx8YPbbvPzNmbyv6bBCx4Oaxc3ve4MRK8yMcK8aHU8J9lP56VcUtyju2Z0sj7ez4LYuEr4UEb2AdGt/X/0u8rXe2Mcz2E34UlxZfQiA19KzifmyLC4TSsu2wABZJyDGdP5Rdufa0DWHxsAIcSOr8h5N0/YK5JLnDi8oEbbHm5PNn3TnjugFRh0fYU1khqXtAA4aBdtHxDduvWJ4Pk7VRkqQrO0glb60UHppXvalPV4+yHNX7AtpozJumHs8X0eTf2TCJCHG6Vw1J1MJrqg5QmACL0s4ZP99GTvv+EKoI1/Fi3tWsGDWWS5NHMVE8EE2p2fwxsb5zFzZziWJo2r++3jnEvr31HLxugNcHD+u+DA/37cWOkPcd90Lohq3Rbf8+w1rcUyX+y59iWpfimP5MnqL5bz612Vkpxb5yoXPqUXy197F9P+pFfu6ET46dasyXvzOtquJ7/az5iM7hDTR89958pE1lILwvve+AYiC7myuitM/nslbq2dwz5pXFB/o8fbFaM9VcuS9dby/eZf6mc+9sIL6t0qc/edRpgZ76bKr6LPK6ftlGx0xjdZ7hkmYKSzHYH3vHGLfCPHaHbNZvPYsAU14JL36xkJaNlgc/pcG5pWdU6GO5mOVaEEN63OG1zmIzlHK+CXipOOS6ihnyot5jl5YS31VEtODgWOHfehFl8JFpuc7EiCg25SftemeGVRdrgUUCyZleYlAeT5MWphizKVUZqN7my6gW1QH0xyYa9JS2S0KQ1dnoBRViNHELlOqcyZ2drrmcO2UQzx9/wJuaBWeMYOlKDEjx4LrjtB3aVTJRsN6kXnRc/Q9UM5NlR1UKn5ViI9dtInupXGmhvpVt57wpbnyni2EDUHOHilFaPUPcm1tka5/PEeTX4T6SuXJZy5+WaEf0kCuxj/GZ296hqiRZ2+mhb/uX8y6mce4tvYA763bje2F3QY8o8yPTtmK5Rr0WXFqTVGITgn2M2VyPyKIMkFLQBQ5K+MZInpB5SQFve7/ivhBNo9NV6MPKV8XidPj3CZp12BOGHM63kEdN7IcyjZSZgjjUJnGnnX81PtHSZiGGv/JEYfsQltDg2ofSI6U2IuCwzNoRdUFLcewlmYolBI4D3WUaOqK8En+OrqMmJFT4xjx2UKKPB81csJOQ7O9C9UiWQpTayY9nxZhctdeqKYtMKDGmeOqIB9niwlqzSRZJ0B7sZrn+uezJnFcjYks1+Cv5xbhuBrvb95FAbE2T+eqeeH1JSxfeYzVFccVWvnjfeswj4a57aZXSZgpDBz2pFvY/eBCRi7L0bRgRPHi/mPzlbQ+45L8pxCXVApl1aBVRvePppKpNZjziR7Fk9zYOY1JXyvy168s5CuLX6DooVTWW5VM2meRXh5QXDnLNag8ZNMfFvsp4oVCm4ZNoVzHb4yT5RO+FEMrLDBcpJmegcP1jQf59WdXMW9ypzJeBVh7+V4OLannuqp9ynco4Uux/B93kbRCTA/20O2NA29t2E7Xl08qOXyyFGbMCfK+mXtoWTCEXyt5Pm2C0P3lhUIZOVwqw9AcEqbgytw5eUg1zvIsaPSPUOPtmYk5XhW+DEuCZ/jVwBpmhPvUujI1mzpzlNfHZtEYECKMoutTKIssYqNGnvZCteDNePfPROK1VEBKHp30N5OIrizEJTHc1GzSjonujitapWBB1wQCe6JYR8YJsCx0msFSlIwdwK+XyNkmnZk40yO9xIycMql9aXgOPdkYNze8TcoO0eQfoseq4Fd7VxEuK3DX9C1Ic9/tY23sen4ulat6ual5NyDO6ifaFxF6NI7vI328v3mXx410WP/GIppes9n25TwXV5wUaBAlj5rwfwqh/9HX2UwlTS9r7LcmsXrdCS9XzM/B4TqaXy5yYko1t9ZtV8GO3b0VNG2zObOskmXlpjJ9cs+FSBxw2b2mhaXlZ0S3S5hIp1iEwlxKwPf9VpRwn0uuzqfgbL9ewK/baCUxPhNZMGKcpvttSiFxSDuM27jnasX4S/r3OOiEjCIjs3SCtWOKdBbQLeZW97BldgULYwPqd9c1h/oVPXTEa7nQFMZnUk47fEMW07QVRyFmCIfUX39uFStbToiDWRPd5qVr9rJzRguXhAe8DBmTev8oNXedwafZSoZuuQaWLS6piCdvNjUb07C5dfVbdCyrYGG0C2mMFtXzvPtjryv7d6nQWBI9Q/yBLPX+pLrAgprFfQs2Yi8Q6ELSjhDQLZr8w9z7rhfJ2gGV4Jx3TdZWHmP1HceR0Smy+8zaAfAup3GXbnFgVHiE0cFSGQlfmmmhPh5Y/KIaE8pxwPJ4O9HK/HnQflTPc0ujCJcUrtyCA1RvjiqehkSDwnqBCjOjlIpybGOjMT3Yi6kJwzvLNRSZN25klZeNVEmJyJUg2wcmUf+8j13xZuZFuxQJ20bDckyG3TJFVlewtJeHFtELmK5NS2BIeIoYBaWok59X5lINWlHlCC3ToZv8w6S8bjFbFN5XlT6BUh3P1wljP81Sl96oHabGP6Y4TeJSEFLxuJGlykhzIN9EWC/SbcU9WbjtjVhyAmG0Ih6nT5Dqu4sVDFkRqsyMIu3qmvDf2TfaxEVVJ3HccYfbJzqXUhcZUxLf3blJpEpBnti3hKvmHGJhWYcip39/7+WUBoPcd8lLXhJ3jj/3LePkE9OJX9fNrc07VMH64CuXU3FA4/r73lBuy3LELu0QQFxgP916KdN+V+SVbxrc0rgDQxdE2+Jv67DCGoOfFerMuJHlkd7lTH08w46GVprDI0wP9hI3suhnQlQcdxgphWkNDJJ3TEqOgWOChmj4LC8TrqIhycCCKlZFBtQaaAyMMHBzDtO01Z4FuLFtP0/923yuaTqkzhJTs7n6/Vs5e32lUmKi2cwLdxH+cpEavzCa7bNixIwsd0/bjP4F1xuz+Kk00nQVq/iHlRsUB09+jlozyWeWv6qQzYwTwMBhebSduV4kQ58VU0XOwoh4PqNegZy2g2Q1v+KtZR0/USPPkXwjtZ4IQZ61UpIukTr5WeRa93vWEpJeoLti7U8s/qUvXdoOcsqqJmebzA6e45xVQdLz9hHcyBKDVpRac0wVuvLM1jWHPiumpg6TA73syU5SP6MzX4kdEBMC6bZ+OlfNqXQ1SyvOEjNyyrT11f6Z9KWi3Dplp4re6LHiPPTWRfhiRe6ZvwkT0aA+M7CAkYea+ck1Gd47fa8i2f/L7utofshkywMlrq/ZR8I3hqG5/PHxK6k4YbH3Gy0sKTuDoQkn85oXA+QrQ+gzRAOkaw7Zkp/ydoe+2eU4TeLeqzLShANFMjU6Df6C8iqLG1kSswc5G61gTbRXeFt5DUvWDv7dDRXf8aqxb+9Yw5b8XKaUDagcJjl2OJBqZF5UkMlkhzlSitCdjzOn7JxSh0X1HAeyIltqUnBQ/Yxq3xg705MpMwrMCp1joFSu/Gmkakge+PLyn9glOq7okE8XanDQmBroI++ainQtVVWy25bkQOnQLIsEQDlig2D1N5gjitQdNUSsh1RnZDzn5riRpbcUG++ePYhXcpv+r17y95DJ6Sk7qC5R2TF1FStEyKKHCpQZecr1HAOlclWUJEthFfkgVGTaeRb7sogBcRlXepC+6KwE7Fpm5PFrJWXxL2WrMhBxYhyJcD4VPjLyUJXk5onmdhMzziQqkZwgW6/1ia5eXuSVRoZhO0KtF1XQ5Y2NACUXn/i8ZDBoygmdZzomYzXKjDxLgmd4JrkIG52WwJAq1uTBHTeypLwkacs1eHVwJisqzqjx7/hzFJLyiRwymbtkIP7/GnNMkR7l+A+g3hxVHiumVlJRIvJluQbHs3WcGkvwvoZdqvC1XINHzyyltizF1TUH1e++aWQ6W/ZP54Zlu5kSHFC/74Nb1oHucv8q0aVnHT9vJ1s58peZNN/Qzrtr9ygy/M+fv5rwOY0bP/oGjf4R/FqJFwbn0f/vkzl7vSaSwr0L7qcbrmLKE3kqv9vBRfFT2GicK1Sw68tLGZ5hcuddz6t9+ZMD65j8rSLn/kXj3umbFEz/h19fRbjfYd0/vsWUYD9B3eKXZ1bj/LqG4Q9kuH3GdnX5fGfLNZQfNFn3YeHlpWsucSPDpuRMWkODal2Zms2W0SlsPzKZ9y3ZJcbenlfW873z0HF5b8Nu9V0UHJO3ky3MLz+n8q+kS68cfyRLwnFdOtNX+DKU6zk6rUqlDpV7RxbwynDT485IVZUYN+bos+JqxAfjCjp5fk1Ubon1GFRRMKZmczJfqxCzJv8ww6Uy5R4v16Ncv1KwIRGV/zXfbtBTlMl/L0dUEzML5TkjjW2lMlU+Y3mWJHwpknaYhG+MrmKVKqCqfWOMOSFFSu8oVBHz5Rj2SN+Vvsx5Ts8H0o1UmhlmhHsVF9RxdR4+sZyLmk7z7srdbM9MIWwU2Dgwg6OHm7luxW6mhfqVcu7BVy5Hz2u86/LtTAoOoWsO+9NN7P/hAnovdviHNS8pfs4Pd13KpIc1zAf6uK7ugNcwRXnivy4h1l5i7j/tZ1a4Bxlzs/5f1jA8y+Dztz6pPLdeGZjF0K9aGbo+x/0LN1BliCieX3Suo+PVVi6+YQ+TQ4MC7XZMfnFyNelskLvnvKm+e1Oz2TIylZKrc1nVEYViZR0/PcW4p7YuqhGwFIdU+DL4vTBtKQQJ6pZSE8uCynINBpMG/77ypf+jGvufevl1i0sTR8+f5bsC1lwZP6WktvIBx4wc9dFRT+kVoeAIhrtMJZ6YE9VtVbAkcoYhu4w+K67IrUVXwJiyC5CLBMY7D7lxbEQ4quUaZJyA6nwCuoWDo3JYBGojJN7yAJCbW5KtZc6Yqdn0lmKK+Ci9U4btCJP9AwyUohQw1cKrNZNK4iqLMMnal4u8yjPSkr+PlF/Lw0uiMYOlKAlfilmhbkXOrDWTZJwAY54xncpN0kveBRA4L3Yj70WHVBspZRsQ1XOcLVYrlddE6bt0WJXKFmmUJrtx3RsTmZow3gsbBZr8Q16y9fhhLt16mVAcyRGH/B0s16DHqiBZCinSq+F51RzKNYloBqOg1Cm7060eV2VERZTY6LwxOhNA2S7omkNPMc7zXXO4sE4oXGr8opvdMDCbE4MJ7pixjZiRU1ynhzauZtr8Tm6s28sVicOE9QI/O7WOsbcTXHXtTtE5uzZ9VoyH/nYpxUqhcNER39+jZ5ai/aWKho+cZlG8k3r/KEk7xJMPr8EownUf3UxbYIAeb21LB11pOJjwjfHKhkW0vpRn23enMCvSI8bOyRnEvxfh1LoE5244R5lRIGGm2HqqjZm/GGPXd1u4cPIJ2gs1JEshKvYa6CVIrwwiAzb7slFi7SV6UlFS1UEmZvg5fkj40kz39/Ln4eXUBNIcmm8Srx9W+z6sF5k2v5NThRaWRwbUGKwlMMwr96RIRLLn7efbZ23nzR9PYW1U/NvBkliTN370DYaKZZ5xZZhhW4ytzv1Thcqo6ynGqfRl+MqqZxleGVGFwrliBUkjxNRwn1pjUqJ9eeVhLlp56jzVVFTP84GGneqiFUW9KFSvS+xTogjhkl2pxp5F14dj6J7qtES9Kc6JY8W44gVKl2LJ3UCzwSsm5Evy+2QciBxb5j23YIBKI02NL8Xu7CQl5LBcg24r7j2jPHnHRNcdwsa46aUYX2YYLNR6qiIXY0IjN5Hkm7TDmAjkbNA70ySZFkRSQMHxEfPliOp571wvsXFoOm2RIRZEOpSX0N5UM9u7W7l9+jZmBHvIOyZvjk3nhUNzMUMW983bqPhhL43MZedT86i+9Bw3Ne6m3p8U1gXbl1O1yyBwUx+3t24T55xVxpGfziFXrVPzsQ1iHO9L8YfOlTR9CzZ8ZD6z1vXQGhgk4wQ4ur+FKX8p0DG3kqVl7RzJN2C5BqFeHTMNZb4CUc+ot8wokG7WMWIF9Xx0zWH+pHPsv2ES7453K0PRsF6k7cZT9GXLaAiMKp7QrGA3Bz93gtXhQcER8hCX62r20/GFc8R8Yhx7zKonauS5qvYQ1i1HlRu6tFf5zLTXVJZm1vGrJnB1xXHvjNTU/WbgMiXY76Gvwu1erm1pKyL5ejKo2PToFwU3oMxRRcN2fh7o/9Ovd7xqbMwOeRW/KDyqjLSSU0uvCssVXiiA4gRMzMWSL0HOzHkqDFclE0sDMMCTf4pLeEX4JIOlqHrglUZadTryYJGFkfwcCTOl1GpBT5UhYxFEjELJ+++EOk2iIOO5XLYihAc1S8nYTc2m1pdUoaoN5sh4MeZqE3Je/Krjku8HInNLvuTfpeygQjAksgHQVayk6JExw7pw5z6WrWPnWJu6EOQ47u1UK/vTTRS8kYpU2rwyMItuK06dL0lUz5F1AhzMNPDHk8s4ma0h76EjaTvIn84s46nehUo6mnX8HM428J1tV3M8W0e/VU6tmaTSl+bn+9byi82XcjJfd547q7y8ZJHnuDov9c3m4V9cxRuD0yZIR4v89vnLeO7hVfRb5QQ14UvUVahgyzdXCHQDFEn5yV1L2P0vi9k31oyp2bT6BwRJ8Fuz2fXYfPXsDRwePbaEqi8arD81C5lfV3BMzvxlCnU/D5IshZUT7oGxBqY8nuPUjhZvFOQybJcxeKaSpo0FOjIVwuzR4z2VdbgEBg36rHIMnHEfIg8PlghWWC+Sq3fI1rvU+0cVEiPHcXIEKcZVEVpXdHHqo5pXBGUZtsuYGu6n/3N55lx6nJbAEE1+kTH1ofk7yHyvwA1N+1TxW+9Pcv09m1hzz3ZiRlatt5sad7Pq69u4bfIO1fUXXR/3XfsCH7vjBQAO5JuZEznHjHAvX77jcW6bskMhYgB3NL7FN278s2p+Up4E/zMzXuP9jSIdW4ooGvwj3Fi3l2mhfuUkHdSEtcGMcK/a9yB4MI2BEfV8hOFdSX1/UogR0EpUGoKsLPk3kuMlnrvGJL9Ais7kEx65NqD2SEC30L1zJuWI+JmCYzLgNRtZO0DR9ZG2gx6qKPy5hu0y1eDIsXDcyKoYIDmSlQjwSEnEMvg99Nb0HLMl8bnSELYNg6UofaWYkL/7sh7NwMehdCP9RRG7E9aLxI0sO1JTeKFnLoB3tvgYtst4c2AKD59Z4UnghdCjv1jO99Zfz186FyukAODBExfz2IOXcyjdgIwRclyNJ/60lucfWqWKI1OzeaZvAakvN/K3bcsmnIUlXn9rLk3/rvNK3yyVpVjuy1H9mp/oyxFP4i/e40yqkvIzDpZtsGtskuIOEhDO8xfWtKvRa0tgiL6LHXIrMmo0ars6F1Wfpv0fDVYtOeLxI8X98d6LtxP9VhdrE8dIOWJMNz3Yy623vsq1d26mxhxT9ILJoQHuuv15PrVwo7qrAK6v2cd9l7zEpOCQakjDeoG1iWN8ZNJWZUgZ1gucLSa4uOIE00PC+0cIa4ok7TALI2dJ+FIqYkmuW9mkyZeuCRd5idhUehE4g6WoGM1qruIiyuZWWs+knHFD2CojrURIIGKRInphghrRp56BGKX6sP7OqrF3fCEEgrGe8g4E2TU5rs7RXD2Dnm2+SFm3OFesYMPwbCp9aa/YEA/zTL6KA6kmL6xVyIGzToCtY1M4matRnZYcczzfO49nkotF/pDnj3GqUMvT3Qs8SNtRl+9byak8fGYFPVacoFb04Okcvzmzij92rVCLPmbkGCxF+fm+tbwyNOs8CezbqUl8f9PVbE9OVmMvgN+fXMGPN19B0g7RY1UwbEeYFujjy+vfz8/eXuvZsIu8maPpen7z0DX88exyas1RMXt3/Pxw76U889gqOgqVgAiiHbYjPPrHS3nsmdUKTcs6AXaNtPL6v17I9/ZcoRLN867Jk7uXcPybc3hrZLIiIw5aUXb9ZiF7fjOfnmJMKR52jEyi+EANv9h8KWeshOI5vLJlAY3/ZrBnoAkQB+y5Qpzgryvofr4VQBWZuwebmfmTLOsPz55AdHQI7Asz+S82/VZUmf3J5yCfobQ06ElFiZ2xyJVMT14s3tsxXYyilwLt8QGivjxjkwx85eIiEGiDj7KaDL0XGMz28rxOF2uYHBqg43oXe3VSjSXCeoEbph3g6D+UccXko0hLg4BuMfMDR7G/NCTcijWxHtdUniD47T5uvGKbx8cSnlF3Xvw6s793gEsTRwURHId6/yg3fmYjH735Jer9o+pCv2PyVm7/4nPcXLdLoQ+mZvOP1zzDve96kbiRVWT3Vr9Av9L2+CWTdfzc3PA2X1vxnLroZWFxz/RNXJ04iAwrtdFo8Q9xe8tWonpexXaYWokW/xDTQn3nHcIGjmfKZqkRyUTJtSS0S9RPXtyykE/aIYbsMvKelYHj6sqhN2WHCGpFpfAEPMfvcb5Igzk6IcKjRF/J83IyMor7E9VzCp3UNZfBUtQr2r3gWF9W8UEMxmNFan1JJRseKpUpNVDUyNFVrGDQe/+IXiDmEwiJTG6XoyIQKIowHA2qxsdyDV4fnEG/Vc5wqYwKX4a4keW5gfl89/CV3qgzp5q935xZxe/2Xsj2ZJt6zxO5Wn7wyHt44tQiwX/zyNwP7lrNn//jCg5lG1Xn3luIcfBH81j/2Eq1XofsMt7omkLw/jAPn1iOyD7MYOAy/GQT+h8SxIwsVb40h7MNnM4mmPx0ge5jNapA1zWHVDpEWbdNqiQ4Q03+IbqKleQTLplGx7swRZM4J9ZD+41BZs/pUJez5fpYecFRzn3Z5sLEaUCg+HPC55hxzyFm33kIGYvhuBrX1x9g8ef38MDUF6gJCN5ipS/Nvcte545PvMCc8Dl11tnofHrVK3x98XNCHehJy9sCA3x+/issjHaJwG5XrMdJwUEuTYzHf9Sbo6K50i2mBvvUn8vmU6Ijcn2lPQdsuWekfYksHuT/LS0LwnpBNdmS9C3vkZRnFSNVqBIgkBw2OaqUa1aoqX0TmvMipws1+LWSKrTFCDTEvkyLarZkoXsw18T63jmKIpDw7FteGpjNt3ZeQ59nDeH3CvT/fHsNjzx1yf/uNf/fer3jC6GDqUbWf381j2xbicwtkjLxbf+6nEeOLFV8kuFSGQ/tWknfv07hmb4FAGrhPPfCCo59bw77UqKzjxp5+qxydv1mITseXERHsUq998FMA6Xv1vLM0xcCKMngM2fmEXggyi/3rVaLF+CNzfOI/CDGqUw1KSdEVM/RVayi9Mca8v9Vr2bbjqtxPFND6690Dm6cpi53A4dNZ6Yw49cZdvS0CD8SzwCxuK+C1qddTmZriBlZFofOsHlsOrXbILonqBZr3vXTl4+SOGDRe66CUTuifHzsrI9It0vBESOrlC3GYY4BeklTiz6sF6gIZMkldAJBcaDJJPlEfZKh2T6iZkFxe2K+LCMXFhlaViLmy3mePBqzyns5+aEgy+adwnZ1zhYTVPtSzFvczvFP+rmi8SgNfoFo1QWScM8Ak951Wo3hkqUwNzTto/j9NO+dt0cgd45J0TVYfdNu6v/1FPPCXep7nfgsAMJGgWb/EO+bvIcV39rJTY27yXveLT3FOF+59kluv+cFpgd76PGS6NsCA9zxkfV8csHrntKpjGpfirumb+EzNzynfIUkl+H+Veu5f/YGhSqknBAtgSHuv+Al5no5TpJPdk3Vfq5tOABw3ue8rmY/00J9ylCu3FPSLYh0qhGh5foYtKK0BQbUQSkONkMZmsnCTx6qjqt5fCxxSAo3btFNzw93cq5YoS4gA8eT4QY9476sQlHlyFmmnstRqq656ve2XJ8H3evqctU1R6EfsjgGPJi9oPYCjHe6Z4sJ5ZElioKS+m9ksST4CmL9Ju0IYb2gOHjycya9KIeBUpQKX4aCY9JVHDfVlJ8nbQd5eXiuWvuOq3E2X8V/dV6E7fFS5O/4XydW8qdzyz1X3RzDdhk7kpP4xUtXsCPVpgrT04Va/rx9OY++uFrwwbyL7Fwhzus/XMl3d1yFja4ub5EqH1J8t6BucTJby+i3W3jsudUYmpCVZ5wAe8420/w1m+e75yg0NWGmKPy5ltr1fpbGzlB0fcSNLKfS1dTusshlhI+RjHUxAjZ2AM7l4hQck2rfGBVmloHFGtl5OcXPMXBY13yCo/dEuXnKHhwPpQK4+KM7CX28mz3pFs5ZFSyMdHBN1X6q/+0Md67b6KFQwgbhC4te5up/fp1LKo8qX7aYL8s/Xvc0n7vmeSqNjLfOxJj6gWuf4pb6HWp8HtYLrK44zmdnvuap9YTlwagdZmG0ixWxdpaGT9PkH+LlwdkkfGPMjXSxL9tKW2CABnNU0ByMHAauNxr3KS5QWC9gu5oYHerjXkuycM87Jv1WuWqmDQRnJm5kGSxFFbIuERdxXoo8NLkXI3qBSyJH2TI8hW7PvHYi8i/DneXZMCPQQ8I3xsFMk+JsCTRX/OysHWDjyEz6rHLP661AWC+yMTmLR9qXnhd7o2sufzy9jO9vvsoTfxTUROG3r6zjm8+9R50Xo3aYPckW3vzxCh7ZvcL7/KJ4+svphej/XMWfji5Val+AQ0eaafuDxt7RJoKaRZ8VQ9ccfN0B4qfGJzF/j9c7niNU5c9wsElDC4vqdaQk8rwaypKcaqmhKiag65QbFBdg0xADC+tZERpD11xhbKhp+GaP0WeWc1V4QKX3NvlHSK7JY2d9JCZEDEwN9/PyB2ZTW9uvqmjb1VnTdJKn717EJVOOKPi21hzl0jV7ea1xBpeW9Qj5qRMSROMPC1hTdtumZrOs/CyP/GMNl1R3KbKy7eh8YObbbPy36XysaY8i1db6ktx0w2Z6rowxNSyInlsz05gUHKLunzbQma9UpMGUE+Ky6iP0f+sc15rigLFcg1E7zGdWvkJ6ubCdlyThenOEe297VhGe+6w4eTfCytgpZn+6G8vxqcsq5QT5xJRNDE8SMvFuq0JJnT+//GWazSHOemZz4jsZ4+7Vr4koDS8OY6AU5fqafaxNHBOXkmcEGdXz3Nm6WRFBi64PxyMw39a0Tbk+65pLXynG8uhpTz017vckC5SJxNAzxQQVvsyEKBPhHVNrJpWbdd4VkLX06pA8lLgvRXuh2jPTE2Z3suWQXCQ5UosZOZUELb1rTM3mSK4BFYWgGWp0KbkUE9O/dU1oDTutSs9xe9z1t+AKRET+bzmmEN2miPcQZF1HdZCAsnAI60Ul49U1h95SDB1X8D1K5YIf5XWaMlJBkudFR2x6/iIev6oYU47p0uKho1BFzjaZF+lSv1fWNdiVnMSUyIDgjTiCsHoiV8uJdA0XVZ5C1xxFZv/TqaU0xpLcWLdX8XAOjDWyed9Mrl6yn+nhXvUZfrPnIhj184HVbzE91CsKhWQLxx6aCdcN8dEpWwFxKf3ipSuo3gUX3r+DaSFBAt44MpOuf53G2Rs0Fq/qUAT0lzctZMrjGXZ9v4Vrq0XhOmiVUfGrMobbKijcI4jjQc3i2GANU/+U4s1Jk1k+u10p/UJdPkL9LpL0r2sOw1YExwe+QElxKuTL1ErEjAzDdpkwzAsN8PzNLs2NvZQZeXWGXT3jMBv/eSq3NBxW3Kis42f+XQdwGE+8L7o+rqk5wLnvdFHhyygOn6mV+NzCV3EW6NSao/RZcXpLMdoCA3zl+r8CqNFHygkyI9zLgjXPCDFIsRqZmj43co7JoQF1OUtO4hVVhyh6RpgWEDVyyqleouwpR8TfSFqDLEqlkzGA7WpYjo+Ip2SVI0655idGpwDszk0iqFmsqjwlhB9OCFMX5OqJnEsbjbBmMewIpVqlL0nSjjBYCgj0z9sPsrEAFIofNXIMlKIq7kRmGho4dBSqKDg+moPD6pwfKEV5oWcuU8sHmRruJ+X3c1HlKd5OtrLjRBvXzd3P5NCAsl2QLvuO641FcYj4Cjzy2KWUQi53vvtlNR7enWxm8N/b2HLddL649nksxFhq/YlZTPmJw5++tJR/mv0Cx/P1tAUGSB+qpHm7TfciIZSQEVLBAaGW1nHVd1sTTLF7KsSrBAE7rAsRz1WtR/jLrcu4uOWUx8dyCWgW71m+i52TW1lX2a6+r7Be5I5rX6P7Qj9vP/H/8Wr/H32941Vj39l5MYGIX8HogOfOW6LHqvA4NuMKDCmplsZppmZ7Zohpyo08tqvTbVWoDQbnq7fkpRvUpBPxRM6NOMhkISX+3lQFjSSkAVT7UtjegWdNuLilx4YM+xy3vk/j96DUQ7kmEp5Dq3QxFV1/SY1WJo4GJqrZ5J/Lz5P25shSei85UUK9Mv4ecs47XCpTF688eCZmEUmfkYnKMTmSCXoHh3TZFtEiVaqLcNBV+rnw1SmRtCNKvi0N0KSV+8RnZHkEbBCjj0pfWpGfpYGlhPblZSM/r+yC5HOWqkN5+QPKcVciGhN/vuQ9SGdyKaWWxUfUyCkul+SYyK62wYPQpepCdooTlTPycqj2pThbSNBbLFe8lh5Pcj9iRejKx7ms4rA6sLOOn/W9s1ldc5IpgT5FqN2ebKMzXcH19QcUkT5tB/nz8cXUxce4qXE3jeYIh3ONbBqcyqldLVx76U6mBAeIGRl6rAp++foluAGHS+YfYXpEeKxsHJjB0O9aCd3WwweadpK0w5QZeX78zHVUHnS55PNCmZV1Amwcms7Y15s5dZvOZ1a8oqz9v/nkzUx6PkfzD04yL9olZPq5OrZ/fhl9ywJ87o4n1fP/2cE1TP5Wkcz3Cny0dYtaz4/98nKMgsv1n3qDqcE+Mk6AV4Zm0f2jqYzckuYLczaoS/mHOy8jdCzADe97k+mhXmxX51S+hic2XETL4nPcWL/PQ1VLPHLuAk501vKppRsVCmzg8FjXMhKhNB+pf5M92UnKCPFAupEp4QHPgiCkSKeSdwfQbA5zulAjxnK+jOIiybU+cZ9KVNZBZ9QOKzm6lLVLRGrQU27Kl9ybpmarRlGue8nlMjVb/VmDOUJXsYqkHSLhnUeSowSiEKr1CgV5DvyvmYISkRSjU5FrVmeOcjjfSLIUZm6oS2X8SbXs2ULCC+YNqL0p0UzZhEiFpEQXxRnrI+gpNeXnk/tPjhTl5ziZraE1OKyEAQ3mCG9n2tja38b1jftVnI/lGjx6eim2o/PJGW8o1dOpfDUvvriMyiX9fKh1h4c2+niofQX8tYrmj5zkvbW7GbXDJEth/vj4pUQ7XdZ+bqsSmOxItXHsG3MZWGDy8Q+9oIqxHx26hMafmgzfn+HuqW9OQHZddXb0FOOe+MbHL/58LaWwy+1Xb2R+qIOsE2BbegrPbVxKbMYwd0zeTqUvTcoOciJXy7Mn5nLLrLeZFezmZKGWFv8guzOTyNkmK8tPqe9a+q2JtSNCnHXPJDXr+L0Io7RaX7I5kmeXXL8g1K/D3nh4Yl6dm8n9XbPG3vGjsYheUGoNEA9u2I6Qd/1q3q7cX+2gZ5qX8UYIAuGRo6OMitQw/pcLVld8Hdl1OujKC2bcj8VVpDFdEwoL6WshvTMMXDVzdrz3kxwLqb7IOyYyA0w65GY9VdZAqZyEL03UyIkE72KFipkI68L7QligC28aWc1LSNdyfTT7h0jZIUZKEUW0tNGUsZ28RCXpT45ALNdHk39I/Rs5NpDqOCHVFBup3yoXeVueomhqsI9VkePUmqOUG3kG7HI6rSqPaOcjaUcYLpUxbJdRcERekuMdXiIU1FUxBI6rex4qYtwhZ+GSOzVolZGyQ2oGXvTGR3K2Pc558vPK8GySpbBCZwCO5up5bXDGeWMqsRYMNWqUa+1wtoFfHlrFiVytOnQdV+OXx1bxkwPrkAnugCKx5l0fZUaeal+KUTvMD/dcxmN/ukRFEwQ1i55inN//7ioefPlypB/LcKmMv3UsYN83FvFoxzIcL4qk4Jg889gqjv98Nh3FhIdsjbK+dzbm1+M8cmgZXcUqbz0YbH1jDqnHGugoVGJ7zUBHrpKmn/no3SL4IacLNUSNPMdO1zP5yQxHk7Xid9aELDt+SKf8sMnMsh7qTYFyJYJpfHmHZE6Mx2YEe8Sai9ukWnQSZlqRtqdFB+i4MsD01t4JcnE/U1ee5eTdOnPKutWhOj3US+EfR1j27gMTis0CH5j5NuZPR/lQy3bl2VLhy3DtnZu59lObaAv0q2L4msQBrvraG3x85hYPbRQo17+tfJIv3/E4YUM2NiaNgRE+f90z3Nq4Q43LUk6Iu5o3cd+yV72LXpwdNjqfbXuFdVXHOJhrVgGdZUaeyyoOU+HLeAWHX63RGlP4LBUckzEPoaj0ZRRhWL7knhJni0CUanwpjufqiBtZpXi0Xf08IrpUbgKKBC7XpWz8Ru0wuuaex0mSbsVSIdvoOQXLzzWx2Be5jLnzzpaAh1zIyCFJDK/2pTier+NgrplW/yBRI09vSXAGd6da1FhMjlteH5nBnzqWqeIYhEDjhzsv45m+Bec1ps/0zud3f7mSDYOzvKZRFJK/ff4yfv/IlSq6J6hZ7Em2cORb8/jt/gvV+GvUjvDnrcsJfqOcV/tnesWtS1ArYTxVSfjxmBolBXSLwUIZ9VtK9J6twnHHlXyOC76CqxpiA4fWwCCFmTmG56KQYUNzaA0O0/Uhi7pLuxSdw3IN3j9tN/rXBnh3634cV1OjtYlItjQEDegW977veT5//TMsDbfzxthM8q7JhdETfOrq9Xx8yhYqfWkVQD073M39C16hxhQWAhL9nxnq4d2Vuz0FsF/dpWG9SKWRoczIk7JDJO0Ifq0kPq/HxZV3o1xL8r6UawRQ3F25HsTe/ft6CMH/H4zG8o5JxIMFhXW4kMgrFEKzCHrEz0pfhpQdVIiDdAKVqjNZ1Yb1AnVmkhOFWoV6RL2FnPCNiYPRDqlFYyHUHOV6jiG7jLiRFbNbQ1Odo4R7pVIjqFsKpZD8BomASDIgoCDWghvAdsdDTjNOgAwC2ZGSdmlzHzeynCzUet4jQwyWyokZQlFyINtEjxkn4UupBOZj+XqOZ2ppCw/SYI6OR0XoYCEuo3F/mghP9SygNpTiooqTihR+OlfNf55dzZWtR5gX6cIyRLe1YWQuJ5LV/Hz6o1iuzt58CwdSTby2ezZmZZ5bZr2tQkW3jU1h80vzWXjpMZbHzqjf//tbr0RL+7j7kleVFfyO1BTefHgJqWU5PrFok/r9fnFqDb6Hqmi57zjXVO0n6wTot8p55qGL0Wx4/8depck/hIPOG4PTyf9zPVs+NJUHLhRKJcfV+durF9D2XJ7d/55jVfwEIug2RaUvzd5MK2GjSI05hl8r8fzRuUz7kcXuf29mWmOfumiCL5YTTbtkZ4n1JZ13VVyLZqs0bnvMpOpQicFimTeeKdHkH8HIg+aKg0M658ZDOQZbE7SGMhS9g6jClyE7J0+22VS8F79ms7rmJA995ELWTj6Kg6ZQqVVrD7JvdgNTggPkXbEuV8ZO8dAD1VwQPymUIbq4tB+46AWemrLQG0kVBRlXz/OeezcC3gHvjRBXxU+y8OtdJHxj5F0//R4y9V+X/4a3MtOw0bwmwWFOqItZN/6VlB06j2P0vvpd6PVeRIdjKjXfR1rfos4c5Vi+Qe2lKYE+Eok0aTuoOs6UE2RqsE81GhO9mWSRIrysRJF80uNSzAp2q/GGVFLJojs4QYYvu2FTt1XX3GvFVMFiuQaBCVytiQWLPEsazBG2paeo4ksG/OqM8w1lgTHkcW8kIny0UE+ZIYoDaeQpzz7LMShopkI1qjwVaxAhGjhbTGCj0ZFPkCkFaA0NUeHLKNXeoBVl61AbK6vaqTWTyhfsTx1LcV2Nj7a9RVAT79VeqOYvr1/ArEVnubrmoOr8f7LzUgJnAtz2nleVKnZvpoU3H1zG8DyH+y59yeOZuQIB+bHJ0S/XcHPzHhr8I+g4HHt0JuVnSxz5ZgM15hgB3aIrX8Hk37ucurQV86a9YnyowdmBClreyOO/VAhWpMeXC+g2zAl1MVAqF9YikUH2LJrFpLre8bGTVmTFgpNsN6fwvgpJlhZNZePtgoDd4B9h1A4T1fOsrjjO3n/J8y7PSV4W65+e9jp8TdxH+7MtJMwU1VqKLy99UT37HitOk3+YWjPJVxa/gI6jjGMNhApQ+ks5rqbWtMV4xtzEyKUGc4SME6C3FKPcl1d7pcEcoduqYLhQ5nm9FRkslXuqXUflww2WotSbo/SWYtiIKCqpFBPhqGL6Ib2hgprg08pRuowRkR5ZKvLD+07k/pg42nRcnR4rykDu/9rH7v+J1zseEco5AZ7rn8/2ZJtSmogwwxzr++awaWS6kn0CDFkRfn54DV3FSjV+sV2NvZkWfnzoEhX0118qJ6iVeGVgFr88tsqD91wPHgzw80Or+d2JlWIM5lXAZ4sJfrDxGn599mIv5Vx8/S8PzuYnr1zF/kyz6mYyToCHz6zgP7ZcQbIkZNCO5+3xo2eu46ebL1PweN412Ztq5ve/vIafH1pNUBPjlYJj8vCp5Tz7/XWsH5irJOoZJ8DDz6zjyZ9eQl8p5gU7ljiRq2XHd5fy8DPrvNgD0S0/fGI5p78+k+e65iq337BepM6XVPCsJMYdzDTgfreGA3+bpaD7tB3kuZNzafmKxVNHFhDULOp8SSJ6gVe3zaP0q1oOFBoYcsQI6NhoDVP/VCTyZhnpUsArYB32DTYw6ZkU+3saaPIPEdXzYvOf8hM/opEshTzJsUPG9hPuc3ByPkWKNjWbbMGPFdbwaeIylXYJ6VaHTJOr8oiGS2UsjHfRcWWAqZOEqmPEIwy2LjrHyVtMFpR3Kq6XyM+JE/PlqPByt0btMB+Zv5X+r1msTLRjoysl1uyPHmL+5/Z5dgm6GlXIdZj0nHBNzeaBtc9x0b9s48qKg/g91+mwXuD2T77AV659UhUgBcfkE81vcPPdr3J59WFazCHSthgD/MfKP3PP2lfEyNExGfNy8L6y6lmuq9x3nvP2ytgpPjntDWrNUfqtcrV+P9W2kcXRDgWBCxPPDFfXCAdiaeanay7Tgz3Kz0kW7QL61pChqEmvWThUaFSSfBudc4UKhj3FV6UvTVTPe47FGTJOgMFSuTe61NRIFaDXMwCUQaLSHbjBHBHeRFZMoa0TFWpBzfKgfR9VhiicJHqQ8MjXckwjJMIlpXKB8fF2t1WhIj4kshj3kJiDuSZPMiw+q+PqHgoZUwiRgUNPMcYLw/OVe3JHoYrhUoS/dC5my8hUNdYxcDiRq+Ubb1/PSCmCoUbeFr/dfyH/cfRS9TyqfWO8MTyN3z18FRsGZ6nPa6PzxY3v419/80E6rUqFLJxJV3HiG7P5/Ya16oIKaha/33khfLGSjX3Tzxvl24/VwCMJBq2o8PwychwYbWDyX/McOtGEgUPcQ9mNfmHlkLYD6sI0cCjENdwy4RckyNIac+t66LgyyOyKPo+YrJO0I0Su62XszjG1z/xaiSXRMwS/0cN112xXNgSmZvMP819l5ncPsarypFBzGgXKjDyffddz3HX788pxOmbkaAsM8Jn3Pc3dLW94SJFwxb688jBfv/hp2gIDE8ZoAW6u28U1NQfUPk16dIWFZR0kfIJbKLleKTtEg2+EOjNJwfEpiwUpFLBcgwpfRq1NyWMU3J/x8G2Rlzeelyl/dsQbi8oiRZoVZh3h9i5icFy6rQoGSuVU+1IqVcDx+H9Svl/pS7M2fJJT2WpO5WvU2SK/a8fVOJGr4WBGqHcvDJ9gf6aZk4VanuxeyJvJaTiupnLq9qZb+PGmK9iebFN7wsDhz2eW8IeHr2Tr6BSyTsDjtDn84fXVbP/Zkv+te/6/+3rHI0IjpTD9v55EZ1xn+l39xIwccSPLy0NzKP5bHfuWBZh9S48a2bzWNZ2Wb7k8ctdKvrjmeQW9Pr1/ATN+XuDlb87k9tZtKrH41MY26rcU2PXPrayuOI7l+uizyil/vgzddmn/QjVTAn1knQBHM3VMetqme1U91nsNKg0hr9zb2cTkp4rsntbEwrYOpbzoO1tJ/KCPgUVRas3xuInoWbDKfDirdWxNzMpztkm43yGZ8ZP3wiHzXiie5ohDsto3plCuYnWJXEZI2KVJVpWZYWieRrHBUhfI6WI1s2t62btuOldUdyoOS971MeB19GFfUcG088u6ePWOGdRWDovOlRL15gg3Tt/PU1+fz3um7RVdtzeGu3n1Ns4tizMv0M3RYi2WYzAj3s+hL+skAkPUBYTaI+bq3Dl5Czt/3saN0TM4rk67l910x60vKWddcaj4WBM/xryvnkPKTUEcSnfO2AIzUM7LclzyqUtfVoeXdJutDKb58o1/VXyuCp9AAW5t3IHZVCLliIR2HY2AZpP00JxkKazGntODPXxoclEVoJ1WJQnfGIvLO1QnlPZMx+RhYODQXqimJSD8Qqp9Y9T4/fSWYt5BrClOl1ScSKTyYK6J1sAgRdfHiUIdICD7oVIZMc9hPGwIQr5ARItkvDGA7erKOdrQHAY8pFB+d6NemKiIIRCeMxOdwh1Xp94coa8UQwRh6qSdIPXmCCknRMoJenwmMUYJIyICZHhw1EOPavxjihchSdcizFQUonEzy8m8QGNnh7xog1IYUy/R6h+kq1glkBcshksRj/fnV5lp/VY5yVKIKcF+mv1DnLMqGCyVs32kDSeuKwQkqFuczNfySvcMrms6qIjzEb3Atw5cTUVZlpubd6uC//mBKRzYNpWVFx9iTVxkiKXsED/acDV6XuOe615S62BHchIdP5nO8HszfHn+iwrp/ctLF1G73SH0ZYsqf5om/zB70i34/6OS/YvrmHFLn3cWlHh6/wJmfXeMN34xjfuaX0XHEevrpSD5RAh7mvAMStkhBnNl1O4qcGZlBWbNeLOFq4E7bmiYd0xqQ2McvtiH3ihUhyaCo7Ny1im23jmVmxIHlVlqzMhS85EzlBxhqhrUhFPwuupjHP5+iqvLxB60vfV159WvYF1lqNFL1MgxL9JF4+3rldpQksGvSRzgupv2eQ2ZGOHHjAwfaX2LiF5QLtDSiuGW+h1knAApDxmRvLpV5ccZKJUrrp98fznKkwiKRLWP5+uZHuzhZL5O8ZtMSmrcEzMydBWr1O8PIPOzQKi3HE2g/YYu9oHlGpwo1olCKdJBnxVTdAhTs5XZYN41MbEVpSNbCoAmSOyyqRAoq6n23aAV9dCXNDEjQ5UvzabUTN4cnYap26woP62MD/O2j58dWsuMmn6ur9mnkgZ2JSexfdMsVqw+wuLyDp5MLWBp+Rl+enAtwc1Rln1oHxfHjmFoLu1WNa88vYxwt0v5p3LMDHQT9eU5nqnB+mUdW5Y0MO/6c8hYnX1DDUz+i83WsjZWLG4n7wiUciwTJNHuMFwIq0bQwEFPFMjW/n0xmnc8Wfpr2y7jkbOr0TS4b95GVUz0FOP8Ye8F1FSPccekrUKBZOTYnW7luUPzWD71DJdXHsZGp843ysFcM78/dAEfm/uWSqsH2JNu4XiyhrU1J9RBYGo2byWnMlSIcHn1YaUIyTp+doy2URNMMTvcTcQzGxwsRTmZraEtNMjkQD9DnldRyhEmelODfXR7kRUyRwZEBALg+Y+IzrHeP6oIwzAeFyGVJdLjZtSOKPh0yC5TZFsAHYdhu0y5tgJqRCjjNyRJW3aWEw+Scj3HmBNSdupBD6UxNFeppWSAqYR0pWrKQVMXsuQYxY0sZ4vVSKt8SXYeLpUp591xH5mAMkU0vNGk/P0cV1dE0CG7jGQpTMyXVe+Xd0xF4JW8BhnhIbO35BhFRgLIOBBTE4ZzEwmY0rFWEqIBTuZrafIPIy39x4Nmx4nX8oCVnyWiF+gqVipiv0A0xQEsXJDHHb/rfEnGvOgOSRxtMEfo89aM/DwT1TR9VjkJM0WlkVbPXRr/ycJMfsaOQpVSj8gusacYoyUwRFgv4NdsThZqsV2dkVKYaaE+VbQVHJMNg7OYVd4rumvPmuJgpoHd/c18afp6juQbvP3l48f71jG7sZdrqg8olGD9wFz275vE5RfsZ1akhzpfkrPFBL/acCmu6fKly55Va3H9wFx6f91G7qYkd01/U42TfvLkdcSPwTX3i0wwSVA9+cBszl5j8qmr1lPnmY9+5/Vrmf5QnoofdHFV1UEyToDTuWre/uoS+paa3H/Lk6qw+/aeq2j7OWS+OsZtLdtFIWdHeOihK9EteP9HXlXI19upVnb9ZiHWNaN8ZsZGRfT9yeF12EeiXH7VbqaG+xQR9hf71zC1boAPNwhFm43O/mwzz56ay83T9tDoH1HIwaFsI46rMS3Up763uJFl09gMLo0dptuqUGtBqa28PSwjJCYSreWYX/6ZOFccDE0U7LOC3QzZZUzx97Mv10LW8TMn1MWoHUFm/6XtoIpYmPi+ch0Kp+SIWsfyZ0i1k+REguAqCUuHqEJ7ZfaWRLHl7yEFEIAag9b5ksoOQr6iXtEqCetyTCnPBUlHkOfRqB1WrvqKR+kKdOdUvkbFC8kmLOsE2DQ0jZWVp6k1k4qHtn5gLp1jMT7YtksRjNsL1Ty0cyXhihyfmS1GzJZrsGVkKgefnEXTdWfUKLrHquDBt9ZSu9lgzqcOsiZ+FENz2Z9tZsOvVqJbcPNnXlGebntTLZz459n0rjD55E3Pq2Lq4TMrCP04Tv9dOT4x801luPvA6zdR+baPGbcfZW3lMfxaiVE7zE92XQJjJretfpMyI0+DF8fzy2OraIqPcn3dfkCgVYNWlI0D07kwcZoac0zxpCzXR0ehUpmTSiTLcg06RsJ858IX/0/Exv/UK2IU+OKClwVpEF2MjRAb6R+XvYTMfMq7PrBDTA4N8LUVz6mFCpByhDv11xc/R1TP0WlVKXXQFfFDrCw/NcEgTsD7y8rbVUWcd01wxfjtiqpDpOwQEb3A2UJCpaFfVXGAbqtCkTfR5OYWUnG5SVKOGGmMeonXAFlLHMRlgbyKXzA0B9szkTNwcRAhp7K4KddzlOs5lTAu/SzkYSoRCqn20L3OQXZTkmskc2NsNMVrStohWv0idDLlBOmzYjT5hxkshb2Dzae8Vs7kEwAkzDQxn3C/9XvvnXECDNllnCyUqwLW1GyyrqFUcCInq0iHl6sm3I0jOJquJLjyQM06PsUjAaFmqPaNcTJfpzagvByyHpleHsLyJQ/IrBNQZGYJP5t6SVnUJ+2Q+q6zrh/b43vV+0eJGnm6rTgnC7Vq9CLVfVvHptIcHPakvOLn9lkxTmZrmBXpEaMij4+2P9PMYCHCxRUnlXKj26rgkfalrKw7y8ryk2BDnxXn1cGZHOmt5e45b6rfa7AU5bdbL2bGtG5ua9ymELI/dq2g741G3nPTZjXCzTp+fv6Xa7HKHT59xXoxFtLh8XNLKTxYj/7xft7fvEshbD//0/WUn3GIfUHEdBRdH5tHppL/ch1P3NrK1y79GxmvgHh18wKmPJ5h839OZ0pwgGb/EDsyU2h62OT4yjaW33hGRRgc7Gpg6qN5OudVML+sizFHGElGz+g4PhSHJ25kcbyi1WeMeyRVGWmcyTlGCXkqLBEr0xwcYcO7fUyb1aW4DD1WnKuX7WdDfCYfKusVxa93Rhz8fA/rygfVWNNG55MLXufAD5pYGO1U54Cp2dzyoVfV2pYo4pLoWVb+wykAuosVSvV4+4zthGcVFXH6RK4WG52L204RMEq8lZpKjT9FjTnGkkg7i+adVai1VP3NC3fieOMVv1Zi1BHGfdPDvarQFGeS4HlYrjCKLGjjjvdyrUs0NG4IFK4t0K9UrJKPIgvviWegHJUX3HE0VfpSybNGigtsdOGf5kVMyIR4G10gfZqtIm7keZq3PdWtY9LkF/ulu1hBULdUIyO5N4ezDdT7k6J58JqT/ekmUqUAF8VPEdAtFUj8u5MrWVh7jpWxU5iGjY7Da8Mz2b1tGtet28W0UJ8qBn+x5RICfT5uueENleN4KlfDqz9byehsl09dtZ5Kz7fo9ydXUPOjEA/fl+CemZvUmXL09SnUv1Xk9DerSUTH1EivZpNJLuHHmjWuah0thggNuAxmRcGYtstp8g9T3TRKurGaSr+w9DBch1pzjOLlYxTy482c5RosjHZw8NN1LI8PqCIoqFm8t2UP+77ezHti7SrSadQO88EV26i8SLpna2TcAAYuX1q+fkJOoqEatXtmbiLr+McVfYZN2ChwY/1eonqOjmLCK4YEqj0l2K88w/KuT4V21/qT/72L/3/z9Y4vhEqugeW66pKW0tEKX8ZDXcSIoNaXJKh7kRSuTo9nXiVeo1T7UgyUomoTWK6BifB8kCZnstiSY4KonlNGfFnXr0YAAd2i24p7RYpDxBAQ7UTERYZqyoWmQuo0S3nj/K9dCwi4W8onZUaQUMSFSNohkrbw/ZGHpJwJp7zZM4zDsILsXcTSxAEW1otUGWkV5qp70lBpOZBxAuryF8RbobCQydhlRl4dctIyYE74HLZXfPVZcaEk0S12ZycBiPRl7xCUTtcB3SLokWfLjLyw/S/EhLwcW3Viu1Jt5GyTFbHThDWR5bQv28obA9O4INFOjTlGt1VBrZnkxcG5jBTCXFV3iLwr3JGTdpjfHL2QqdWD3FCzlzziojiSa+DFNxdx/epdLIx0kCwJ9GQ8q2n8IN891sqOv86n8eqzXF+3Xxzkjskvtl5CbL/J2jtEQGfeMTleqGPHzxfz4kKXz17+okLz/nP/alp/pXP6K1Xc3PC2gvO3/2YRviy0/cMQs0JirPRk10Jqvurj+bsXMGN1LwHdotJIc2TTZFpeynHsP2pZFzuK4TqcsGqZ9Dc4cWUzfTVHlC/P2e4qJm0rcOaaKtoCAyqbLzACeOs775jUmUkqAlnOxHUagjnFV4voBfLT8xTjIvyz6CmolsQ6ePCDU5g6oxsZPWBqJS5YeZR9kxu4wJej2jeG7erMCnaz/QvdXBwRTtiW4yPjBLh7wSZO/riG+WVdHrEzRK0vyYfvWq+QAMs1GHNCXFezn8IDRwCRTxXULca0EF9atB5jsWgUJNLXFhjgny59GhCcn7PFBI3+Ed5Vvof5kU4GS1HPDFIUyu+u30PcyNJpVSpvpqie5+L4cXQc/JpNpyX4hNLRWnKrJpLbpQlm0g6rzEFTK3EsW+fFbJRoDgzSEB1hjr8XHZeCa3CmVMWQt8cm+/up0gvsLfi8kVFQoT7ooqA5UxQNhzTZlB34RH8qWbxJ9Y5QuYoCYZ5vhJ2lNip9IpIiauTQcVRwriyIxIi2qNAaaRVguiWieo6juQaGrAiLyjo8zqZL1jZ5ZWAmtaEUi6MdnjDE5kS2lhdOz6GlcoSLq0/S4h9k2C7jdydWkj0Z472XbqPeL87mk4VaHvvDpaSmlvjimuc9JD/JLztW4/6whu2fHuYjk7aCK1DyN19cQM3bJY59LcOisrPkXZOjmToiD8d44+I4Ky4/TbN/iGP5Bt5ub2Hy0wV2zW1hXmuX+n78gz7CPahzX0TXlMg0ari1eXVWGzisbDjDKzcsYHXDifOsRJZefpjDi2pFHp3HF6oxx5h77wGiZl41mwYOl1UfJfX5M1T6MoJrpovz/s7JWyhMEkVJR7GK5ZFTZJ0A98zcJJTD3lqQSMxHJm0lqBXpKlbR5B/yFNQ5VsTahTpYGayWaPIPqyZC/o5pb9ogw51TTpATuShlobz6ORJFlEh8xIvfkXeW8F7TPKHJGH6jRFeugZbA0Hl+Zn+v1zu+EBIHY5RUSfAwIkaW7qIgNVoY6iFJjwzZWXQX4lT7U1iOGAMFHdH1hbUclitIZQnfGBG9yB7PiXTES2+WqpizhYQI4dQL4HAes7/BHFV8j+P5egatMiYFB1VHVfR8b+TBlPIg4P/V/wNQ0O3BdAMho0i9P8npXDW65tCdi3Got55LJx1ndewodb6kMLGzKnllZDZr4sfVorfRebFf5ANdXHVSkRFHShEeOrycq6YeYXa4W32Gp/oXsed4K/desJFKT64+bEd4cO9qAD676DVBgMPhaK5e+Wvc2rJL+c38tWMhhQ3VLP7AAZaWnyFq5Mk4Af7wzCXoJY073ruBuEfm3ptq4sRPZ9N7ucUXV6xXyMYv3ryU+o063A+zIt2A8PXZ871FJNt0lt3erjbz3zoWUPUNP098aRH/NO9FwTUxbY68OJ267QXOfjvByvKTWK7BuUKcmt+GOL1gMtnbjqjgwPUnZjHtkTS7ZrUwL9yl0tmlN0qyFCbuFX+pUoD4KZvOkThGnaPGhLhgFF1KzngYcMyXI1Ov4caLqss3NId5Tec4smYaq8sHAEFcrfSlSa3LgEdKlOvm/c1v88N/uJTrZ++h2jdGbylGnW+UVZcf4NiyGpZEz2JqNmeLCaYEByj+6wFWeuMa+TPvWfIGvXNjNAZGkVEyFvCRj7/geW1lSDkhOotVvLtmD+33dTE10EfRK9h1HL60bD1JO6T8sFJOiFozyQPrnsOvlTA0l0ErSjQglHdXVx0gZQdFLIZnjPme+j04riZ4bba4fKp9KRpio6pjDXrvJZGFYTtCtS81IdFaFM7S26pcz6nPKS8jSzOUl4lERCTatzk7naieZ2qgTzUg0rRy1A4z2T/AyUKtGulIJLna45vJ0VaNb4zDuUaC3ghUypFHShEa/COk7JDisAyXymgNDTI7eI4VgSEMNAKaMAo9W4JTVjUnC7WcziUoOQY9xbgqtoS8vVzxoSKe+7F0djY1m4JnZmjqNnvSrXRkK1hbdVxdUqZm8+tTF9EWH+aKxGFsNI4W6unPR3lu41LWXXyAi2PHcKR6bcJ5K20+DqUb2fPr+QxdaPGJZW8AAll/dPsFNK+H4pd8rIwJRKzPKif5ny301OhMu0sYv1b60rzV30bzD3WOf7SOd9fvIenxyfJH49TvcCisG7f+SNlBzLSLkdGR3kO65hDyWXTONZkVHVUS/ozjp/KCXjrb4rw73KeQ76XlZzj18QRXVfZguT6O5RsoM/J8YtEm9ny7heXxdm/UJf793Te8RNbxK4qCRKceuPXP5F2/MmGNGTnWxY6y6MoOoh5CJDl5V1cdUGtfImoAK2Knzxv3S1Wp8HQLKopAwStuRHMoGvzD+UavGRy3SxDKYs87CYu+UoxKX5quYpUKzAYx8pcjfhlWLSkPlqMLg1afEHj0FOOKPjA5NKDEFoZX5Eju3EApypFcA7XmmIqsCerCAmTUCpMNCNGKbLoOpJo42RcB3vrfuer/W693fCGUcQL8rXMJvYMxPjJ/KxF/QXVe39l2NWa4yL3zNpHXhYfD2UKCP760Brcpx93zNxM1Rbf3xugMtmycS+PSbm5o2EdboJ9uq4LfdSxkYGMDq969h4vKTyA9b3648zLCRwPc+IHN3gMWsN+v/3IVVtTh++/6I7ark3dMXu2bQe739bxwXY6PzX1LEU5/ffAiEk+FSdxzhmuqDxDWC7QXaggbIrBOjsaiRp7d6Vb2fG8Ro1N0rrl5Kz7dpsZM8XrXVNq+lmfDN2bw7YvEgfRmPsY3Xnkv0/6Y49nvhHhP7dtqofc+PAkz65L/0lkPhvazbbiNST/WePYjC5l04ZDir+w52MbUPxV5uW02N9bvFeMnO0B8cxC9CPpisblSToiUFaR+S4mziSqibaILDugWo2Nhas/aFGxxcUkpsW5pGAXUQafjUOYrkqvSicTyRI285/Ccpqw2zcisOHEzS7VvTJF8u9c5BKpEMSdHXJc3HuXROy/g4saj2K5GvX8Uv1ai7Yp22pdU8p5IN6N2mGrfGOW+PIH7e1gcHqPVP8CxQj2mZvOpBa+z7ceTucKT8Oc9mN9Go9qXotJTf5iazYUVpxj5eu+4YaErSPn/cNHL5C8U9v01vjHOWRU0+Ye597ZnkUooedm/r3YX+Vv2AagLO+sEuH/BK+qikxB3zMjwHyv/TK8Vo9OqxMBlf66FSyqOcEPVbk4W6pRpHsCscA/N/iGFGPRZMWp9SUWgz7vCO0ReIhP9X4RqSyirBiaY9EmUVZCFg0ptZXsXsOiSXS+fSCAMQc0iowXI2qbqXEWMTUwp+5KlMKY57oAs+VmSsya9TeQIJe2EPWdsgYII0qlxXhJ73jG973CcdwKCJycRuZQTVCiA5J71FWNq9CbRZTkiSJgiS0maCnbmKzmTTyhn6riRYdSO8HT3AubEexWnLapbPNm3mMPn6vjx8seYaQ4S00OYmsFjKRGiuzDYgaE5HM/Usu1cK/rWGDtXjbCsrhMHjZQV4PD66eg2XP2+rdT6kt6lrPP7kytY23SSGZ7LdkC3WP/6Yia9UGDXNwtcVHFSuBOXIpT9Ks6JyQnW3X1MFYX7ehto3lDilfLZzLqwR3By7ABhoyAiirxCpczIUxsYoxTWMMNF5XBtu9A6uZ/O1XWsDIj157gaTf4Rxm4ZoyqSJebL0miOYLs686u6OfS1ej7WcFjsB1vwOD98zUbyV5nUeuT1gZIYEd1x3wuKsCzWcpz31e8ifOcWHFdXxpR+X4m7J23CavUplEOepbc271CKuPyEprW2KknKCSkHbzn6lhxLuWaln5y0NJFRL0OeU7vuuKrpljxOEP46Yj0La4VKI42huXQVK5Ubdd41MVyBwgc0S6GLNjo6NtJcMeiN5/utcrKGX6H00pYj6TUQpiYyNiXPKuv4CWhBr1h3ve+wnPZMFUtiHcKGo+Rn2I6wcWAGg9kI1zYdosk/zEApSn+xnEd3rCBel+KjU7d6xpM+jqbr2fXYfJw1o3xs+ltKsfnXEwtJPBpm151DvLdlj/qZG3fMofXxsf+NW/6//3rHF0KjpTAjb9bRtK9E+9SEMsZL2iGq3zDRHJPkrDCGTzyEE5kaGl8vMbAwTHShWEDVvjEG8mU0vVqkvbYaGsQmC2oWPSPlNOwucmxdLVfED5FyxAWhD5mUdTqczFTT5B8WYY12BGEYq6sk5IJjEvPnGYto6IY4TA3NJarniZXlydSW0eIrInOa6v2jnnRZQPFJR3SpIcOibzn4WlKsLT9CnTHGDNPh3eV7+OB3PsLnp73Ca7lK/ja0hJ5sOXplgVM3hVkTEJeEXytRwCTxwQ6GsoJ0baMzUorw7to9/PIrF3NtzVGFGiR8Y7xv5Q72zWzkqlohnw5qRer9o1z08V2UvItZjuKWlbcT/Waea8V8haQtEq+/suh5Ts2upcYUkSaSnHv/B56kx4qrrKNKX5o5kXNMvbv/vFGg5fr45Iw3CM8qkHf9DJTKlRfLA2ufU6ROmRM0KTjIV9Y8g6E5yjsj4wS4svow1fVjFF1DmTfWmkk+2LgNv2bT7WWKCYJ4jksqjyq0Qo7Bqow0Q3YZg6Uyz9nbJW5kFSlZXtzKJdzIqMLPcXXlABzxFVTXF9XzHm9C/DdS3Sidj/2ep0mfFcfWpaGnsLGX3jtyBJSXGUiet4yU3J4u1KjnKhQdfup8o576y1UFjuPqmLqtOFdJO8xAqdwLGhX7Tdcc738HJhRAklcmpP+t/kEGvFGTNGATBnp+dRiamk1XsZKs42d28BxnioJPl7aD9FnlShRgIzrrrB3gbC7B3EiXGEl7HK9Xh2exuuI4MwM9ZFw/vVacHaNt7Ott4LrJhzzit+AJfmvHNVRUpvnolK0eYT3Dn3uXcfrVNi66bh8XlJ/C1Ep0FBM8/Ow6bD987fonGCyVk/CN8dLQHLp/OJXs7aPcNfVNpJv5C09fQNVhm0n//JJH/E9wNpfA+FYVL13dwPIbnlDP6cChFqY+btG7KM61YXH+2K7DQ90rOTtcwU1T9wqUuhQg2xeh9ZDF2SlR+uJRyswCVYEMVtRFcyGglzxllrCZKJUMMqWAysIK6hZzl59mf00ja6M9ihvXGhhE+3Q/M8IpJWIAuGXa2+z/aiPvqThJrTnK2WJChVWL0X1RRWckzBT33vOUQNxcQ/GgbmveBs0o3yXLNVgcOsNd04W5XkQvcMbLjVsebWd5tN276MXZmHEC1Jhj5/FT0PD4WCU13vNrJfK26XlxBYjqORr8I3QXKxRZW3LfJHJiuQambnteOBkKumhmJFIj0TJhNDnOozEQ1iaAIoHLAl2eZ4aHNipFqH9IKXhhPOpHSuO7ilUYmqOeU94zkd2bb6EtNKgsFyJ6gQOZJjaem8ZNk/bS5B8SRreuw9Md8xkeiXDXwjdFEWOb9Nvl/Gn9auz6Ap9a/LrXdOVZPzCX7t9NZuzaNHfN3qJEFU/sW0LLn3Ve/GyUW5t3KEXl2Q2TqDpUovufYtSaSaWMS2zzMTalAmuKofa85eoERl2G0gHF/Ry1w7QlhuiYHmV6WVLRGWzXZOHC07xt1MKb/wMFwP/N1zu+ECozClx0/T4GLi9jcflZso6fMt2iXi/Q9LGT+HRvXOEpjGaX9VD6J51loRG1QfKuybtq97H9mykuCw+oBW25Pm6ftZ3kt0M0+cfVV0HN4qOXb2RkXZga/5gatzX4R7j9Qy/huCJcdLhURtgocHn1YdKfPq18VyQP6RNTNpGfPJ4wDHjSehfL+1xlRp68YzIr1M3nrnmeOl8SE5tKvUhACzHLb7BzyaO8njf5z+51HBuswXU1mhKjVDZliJp5pVhpMEfUOMKvlbzDR+RJ3TvlDZW2LtLqi7QEhpjT0EXKCak8KV1zWVx2VhUqZUbeI0b6mBnqQddcddD0lWIkvcRm2/MKkkqSSiNNwpfC8Do8SY5WhpUTpNhSmTExR0i6mUrSuHiOPky3BJrukbVtNcqQpFlJ4JzokGsYecUbCmpFkp7DdrN/iNOFGmTMRdGTsrb4h9TzkmNLE+EAK8wrs56zeI7BUpRkSfBDpDxdBgBPVHjJ3y+gW1QbaaV6yXvO2GG9gKE5VPrSjNphdWgDVHojzj4rRoN/hIJtKoLoSCmi0CtTs2nwjzBQirI/3UxdIKmIjaZmcyRbT842mRnp9XKoxOH+yzOrWZLo5MLoSbqtCgwcXhmaxdGBWm6cvJ8m/zDluiCu/3TzZTS2DXLnpDepM5Psy7bwRmo6+zZO58LLD3JD1R56rRg9VpyHnltHqczBXGureJFn+haQ/Xkj1p1DfGLyJkzNptuK8/hf1lLe7lD1hTQtnrv5trEpdH5/Ot9512SeW/czbFujx4qza9NMJj2bZde/tLCu5vi4euUpk+TkBM5k3RsjuJwdqaDhzTxHLqrl4tgxUdy4Or6MBrierF9w+fy6TbrBoDqSVcW6gYs7N0V3tRh7pWwRP2GGbV782GyWtB3HkAWzbnHF0gMMzC3j+rJTgFhnhqbz7bYneaNmBh2FSjpzFYwUwkTqMnR+0E9FuVhPlf4s08O9zLq+R63VvlKMmYEejuQa+OTsNxT/cKAUJewWubF2D9fUHFCcJckn/GjLm4ozKdVX9eYoLYlBQFhMOK6uziyB2nq2DhRUYT9qh4UQQC+p3DLpVyTzsbqtCqJeTEzR4y9JJakc2RsTriopVR/nMjmq+JXnQZHxVIDIhDNLOi8Pl8qQgaPyzEYbP0NkdE+Tf4jhYgTL8XlePiW1t5OlMCeyNSyIdlJppIXqzfbx0sBsyswCF8RP49dK2K7O4WwDfzu0kAumtDM5Mijeyy3xg6OXU9gf5/03bBJB1EaOrG3y8F8vBRduu+lVWgODpNwQB8Ya6P3xFF69rsSnlm4k5pGon9y9hKl/sFj/1dnc2rwDUxNRKfk3EtR2OvTMjhHQLZr8QxwbnU3FYUgWA1iLDALe+Vruz3E2qhEOCq6r7nr34aRujq6bxBUVvQr1DOgWs64+zonl1UwN96tnUOMfY/7dB4j4xJhW96gdi8s7aPnsCGG9qMa/Yb3IFTWHyd56SoUG2wiX8aXxDi5cdpAv/t+84/8nXu/8QkjPsyRyBr1cdJpy4Ru4XFt9gGE7wrRAH8fy9cJ11Zfmmqr9yvdEjHtEFs7i8rOqapdk5Ab/CAk3pTaQqQnn4Jgvq5Qgecf08lZEaOCgFRXkSpkarVlETAHPF9wAJiVFaJRFkLzUJCQrDxEZUCjJxG8XKjB1m9PmKA3mCFeHUwzaOY4WZjFSCKvvpTyQZ0HsnPKc8WslhuwyyvXcONES4U6bcQKq+5ZjBelpMc3fS7IQEQWmIebPsvCRnYzKxPLkrbKYkoRpKdeXPj4CSYqIokDLK9+O1sCgOsAked3UbGKe9FYemoCSDcsD0XF1mk2hLtmVaaMlIC7LYTuixkB9VkzA/EaeVCmokB5peicPdoFsRLGLCSWdHShFSbohCo5PmWhajlAWnsjVEvPlqDHHiHgGe3szLZxI1Sh7BSlF3jfaxGamcXHVCco8Ar7uff6AbhHV88pP6HftFzLQX84nlm5iaqCPIbuM4VIZDz57Jb5pKe6c+ZYiw//mzCoyz9Ux74MHWRU/CUC/Vc4T/3UJ6WaHT1+53vMOivLo6aXEfh5l/z8M8f7mXergf/PRxUS7HBJfShMzhNrxuf75lH0twnMfXszSy9qZGujlbLGaA29Mo+WlPKe/naAlMMSYE+JUvobml2BwTh2ZFoFQ1ZpJ/jq4gNpdNh0rKxiN2hjpKgABAABJREFUh1XR6R/TQNcViuvXSoR8Ft1TDcq8sUGLf5Conqc4K0t/QgQDG5rgYE2P9PLG+6dw/dQjdJbiyoX5grWHeKtlCtdVdCsFVZlRoPn+4ywKpD1kQRjHfWLGZk58v5Z5YVHwy2iEez/0LCOliEf2TBPWC1xXtY8Vn2hH+isZHpn4s3Nfw5rjo8Ec4WwxgeX6qDTSfHfFXzldrFZreswJsSR6lvJYjs6SyaiTIe+NOzpLFSwLnabaN8ZVsf08PbKYdNGPZRlk835GAyHKfAVG/BE1qsu7YnSyM9dGvX9UEWczE9AbiV5IlHA8jyuk9pRScHno7qiXs2e64plIVW1QsziSb2BZqJ2N6VneeVtQTUfaDpLwjYmsO90iVQozNSjGdO2FasVJNDWbqC/HsF1G1rs4o+YEebxmcK5QQcyXY3qwB79mcyxfz76xJmZHezxTRkcVBI93LGFZdQfTQv3qz58fmMeR4418bOVmVeyPlCL8/uW1ODVF7lvyGnNDXZwtJni5bzZjv2/C98E+bm/dho5439++to7qnRD5bJFZEZuokaO9UM3IL1rpbNBZ9LFObF00Wm8PtTDl1y7b7mxj6ZKz3lkeYayvjKY9DkcuqePKqkPIcGM74KKXUI2g5RrUBNPsXaEzvaUXmZ1pajaXzDvC5k9N5obqM0jfp5iRZel7DzCQL2N2WPAms06A+WVdhO4TqmDhZC/Q5gtjp5hzd48S/Uhk9uqag7zv+p1Yro/2QrVSWl6ROMyqSr+yapEk+WXl7ecVu/Iz1ppj5F1hbtvkH1ZNp8x0c1wdXINuJ07Ml6U4Qan793i94wuhvGuiew9mRqCHg7lmHBVUKaSK56wKBf/nXRPddVX3rVRX3sOWG18EDqYU8iEud2kOVzwPxZFSUilBlO6zckQnn7mER6UqCIQceGIYp4yKMHDBQ7Gkj0zKDjJWClHtF4e73ESVRoBlodOcrqjmoNZAVTBDfTDJjGAPUSNHRCsy6oTpLFYx4KE+8vOr8YZnmV5jjmG5BsvCp3klNZcNY3OZEuwnZnidm5eHJp1ZY0aWoCHUE+2FGgDPY0N8t8OlMk7nqmkODis+Cghvmo5cJSvjp4jqOaX6e7J7IXPivSwqOyvI73qBfZkW1p+ZxYen7xh37HYdHu5YwXAqwufmvkrMyNBpVZK2gzyydSXTp3cLu3pHHBC/OrmK7J4qLr5qHxfFTigI94fPX4drunzsko3gE59748hMjv16FsUbRrlr+psMl4Q/0z+/diO1W3S4/y0qzAxBz617178toXst3L32NeUd9Zc9S5j2W4vN37NYHjujDpLu/5qMq4HjSasnZjRJVZZcG6md1bTsKtE/P6o4P2fyVTS8WaIzWEbtPKG2Gy6VMZYPUN5rM1YMUWWkOZavF2hSFJzwOOm+wRxletUAhxZUMS2UpspIK3m0tTJFdzJAS2AYEJ35jGgfT322jmum7cVyffSW4tSao1x+5W72L2vg0sojyjhvUnCQ0QcOsdKfUYW1gcPd09/k9NeqmR3ups6X5ECmidnhbu758LMKcpd76fLqw9z8sV3KykEWJ99f9heGSmVeYrvYv1E9zzcXP43jjQZH7TA6LgujXbTNHVIKKl0TxU3CTKkiX54FYb3IwkiH2MeOcOHFEYVpk39YiRokSigdfWXxHMTyeB8BtUdjviwyGFXsdx+2o6lit+ganCjWEvSMMOcFOzFwqTTyNPk68Wsa+bjwVtrmTiIaKAjZsSHsJKqMtFeIS/WqUB/JfDipWpJ7baL3luK3eMqeWl+aI7lG4X2Dpgjj0mJAyt0PZhqYFekh4UuzN99CjTnGi/1zaYmMMDXUT5mR9yTSfmUIKkni7YVqHju8BDvn4zMXvIKBS8RX4Hi2ji1/Wox9cZLPzXpVNTk/2XkpdetNFn9+D/XmqMiOdEyO/24mhyOz+PgnnlXn/46RSQR/VMGzH4jz6WUbCXgFxNH9LUx+2uLw3Hpaqgax8JG1/ZSf1ITAYXmW08VqYkaOiK/IcAhC+rjvUkC3qJ4+SL+vinKfGJPZHkKWujVJdVlGeX2Zms21DQd4/qvzuLn6jOKmBXSLT1/0Kh1LhZeOfEX1PPfe8CIFR6g1h0tlxIwsS8rO0Ha1mEjIAqTal+LC2ElWLDitvMPkyHld/IjXpJVzNFdPjX+MmJFjSnBAFb+65pD3LCfkGE/uNamAlkrrmC+rlGAN5ihpO4iFTxVNgPIfC0+8/xDNbdTI0V2sULl/8k6T6LUsdLOOH79W+P9ys//Pvv7HdWrf+MY30DTtvP9XV1en/t51Xb7xjW/Q0NBAKBRi7dq1HDp06Lz3KBQKfPrTnyaRSBCJRHjXu95FV1fX/0+fJ6gJ9UTWDnCsUK98e2RFXXBEmrrj6sr+vt8qF+Z+EyzMDVzOFSo4W0gwUVaYdQIczDSpQFJ5oHQUqtifbvJchnOCYFwKczRXz66xSZ7zriDXpuwgLw3MpjNfqdAqSRz+a9dCBq2oIuMZOOxJt/Bfpy7wDMLE4RnQLbYPTWLXQDOLwme4puwQV4T+X+z9d5gcV53/i7+qqqtzT/f05KAZzShnK+fojAPGgG1MMBgMJtpE44Vdwpc1C0vahSUZFpNsA85JjrLlJEuycs4aTc7T07mrq+r+ceqckb/h3ru/L8tzf3tvPQ/Pg6XRdKhT53w+7887iA7rT+kGTpTq8ekOWcvP6VQVj5+Yy98/fAMPDC3lULGJgXIFjeYoPz+6hu89dZVnHyDIiSk7xPcffDt/PLhMfR97C0KG/sIvV/CXnsUEvc+dtkP8y6sX89jd6+ktiYyakXKUAauCx3+ynj8+uR5AJTjf37GYI3fM5fcnluG4mip6Hti8mu5vTuNItlFJ9M8Vq3B/VMvWvyx+i7/P48fn0fzPBlsGZnj5QKJgyD9aR9X9YeVVVONLcyxTx5Q/lTl5oFmheEHdYrS/gsbXSqSsoIpcKDomoQGNYL+OqZdV0Vuwfehl4U8juAYaJdeHL1Ei3SoksI0eImdqNn2rNGqnDFPtS3vGcWFmtPVy8r1BZkX7VNRAnZlCv24Q492D1JkpqgyRQZYqhxUPQ+bRJX0ZLrxiFwu+vocqM6sUa4uiHVzwzT3cfslmtRHpmsPnZr7A27/+PFfV7hOIkm7RFhjkE9c/yW1rnxWfWRPBw5uSR7n1g49zRc0BOryQVlMrc8us1/jwslcZKkfpt+Iik8iX58sLn+YD1SINO2WHSNsh5ka6uHHSDhJGTmUeOa7O6vgJpgf7ABRJM6hZLI2eEYqRQjOTg4I/EdQsJvmH1fcuRzAj5agYOXjbl+X6OFuqVpyKISum0MF+K8HpYi0ni3WMliMUvTFii3+YpCE8mQTBPnbea/jOk5iLokiE9Loq3DTscUHk3wupu9js5UYvu+G0E1Q8m2b/CDk7oDgvgnNWUNyvVDlMV6mKcSdEnxXnVKGW06VaXk7P4NH0fLbkJvObsQv4Y/9KXuttZ2g0RswscHnDIdYnjjHN38fJYh0P9C1W49VGU4Sj3v36el4bm6JG+wAvDM3k3569hGO5evWZC67JT168mH978nL6rQQN/jEA9qRauP/bl3H3gTVvUdjd/eyFHLlrHocyTcwIiDDcI9lGxn84iRcfXyTWsBdlkbEF0irRqIJrUm2miW4LU/WG4A3JAstyDML9DvmcX639gG4Rr8ySbtaF+arHo0v6soxuKJBblVHFs6nZrE6eYvBjea6dv4ekL8NoOULCyPHudW8Q+1oXqytPqhFbgz/FVR9/mesvE+QUAxe/Vuaq2n28/7bN3DhphyoOTM3mg5O38eULH6fWP07CyKn4nPdP3cGNTTuQwbvSc+zGSTto8I+ps0eeFxdEznnqR2EH0W/FSRg55b1U8FRwE/QIXVmTTBSmjhqhG7iKqnCs2EC/FWdaqF/lp51v8wIQ9rLpZGyOLM5lCHjO8YsMRyOrip6OYvVbztmMd14KcYSh3osk1L86No292RaRw+c9G2cL1fzm1Aq6iwlPTi+Qw+f7Z/HDFy//n5zm/3nXfwoiNGfOHJ5//nn134YxEaD23e9+lx/84Afcc889TJ8+nW9961tcfPHFHDt2jFhMbEa33347jz/+OPfffz9VVVV8/vOf58orr2TXrl1v+V3/d66Ca3LfqZWUXqlm2bX7WRU/SRGxGH68YxPRI35WvXsPi2MdOK5GqhzmvkfXY+Q1rrvhJdoCA2TcIL2lOC/+dAVjs1y+cLnoOHJOgM39cyj+awOb323xxUXPeuZgQf50eDHNvzPZ/akU723bIR5+NJ55dBk1+8rE/r7A8thp0naQjkKS1L+28NTcNm657mlAjHae7JlD7Csh/vzRpXx13eOigsflue3zmf7vGbZ8bwbvbXqDnBNg1I7Q+9wk/CmXXbe2UWVkaDbKdNkW33zyXdhJi9amYXHY5QNopyJMvXeEbe2TWT5XdBOWblA6WUHTKzZ96+O0VQjjxlErQsVpGA0EYeGEbL9o+wgNO2RL/rcYUKKDHYCwIfxSLE2QBrMNGlZDUSmKglqJeVW9vL62hmlVwpJd5KmFqFnUz9nKat4e7ldk5+nBPh7/UJ66+IDahMfsMG+fsZ8X/m46V1WfIW7kFDFxwU0HSVsBpgQHkEnIKxKnefMuh2WhEcJ6UblMf3j5K/RdEGdhtEMEKBoF4kaOD3/wKUVyFsToPFfW7Kfni52eSV5B+S59csFLhBeWqNAFjL8jO4WWwAhfveIhZStvOCI88YbGnRTq96o16rg6Fb4875+8nRrfOCPlKGN2mFpzXGWcpTyliQjtrWJ+tFNxloIe5ydVDjMvPNE0yFFq1tuMbVdXo0pFMPXW27lilZJdSyRqyIp60LVGvX+cqYF+ThbriBoFhqwYRcennNY3RY5To2vsLMY5UarnbKGaU9QyLywMBi1QJO/z1T2Wa9BpJZWBqEQsRuwIBddU8l7L9Xld5ASP7nzH4ZFy1CtGCoqobOAqVZMsrmJGXvlc+T3F2pAlAm5jnkJNms2lnSAHs83U+IV0Wb7W7kwr6XKQRTGBFjmuzlA5zL2dy2iJjbA+cZwwgsx7IN3MlsMzuW7hm8wJdTE12EdHqZpfPHMxvklZMTpzhfv2swOz6b+/FePqITY2nqDOHOfF1Eze+ONCfHmXTbe+weTgEBcmj5D05zjyg7kcvKWR77c+TM41OFSq5w+PbKR2t83w3/fT7B/mdKmW3eMtTL3PYs/QDBZf00HSEJ5b+zqaaX+0yMmFNcwI92G5hsgB7DQ8tNQvxmWaTsKfxwprBEMlanzjKoW+csYIveUqlps5z829TI0/Te/1JaoSI1T6stT4xt8ycpejckl2ftvNr06onrxGZm38GG1fHlL2FNLu4Oap2zCnlb3nZuLA/eLiZ9W+0G/FATHa/9TMlwh6Y2UQSuLFkTPUeS7Hhsc3slyDJv8oLaaIXektxVWBmjQyWK6PETtC0PNREhElYq8ZLMcY08LKskAiNhLhkMRuuQ6HyjHPYd6g5DWcI2WhPov7chPcQg85ka7bQi3sU7J12Qzn7IBCjSeiNxLoHo9NKuNsNLqLCQDqAymBzOs23aVKtvZPY3ZlH3Mi3TiOKKRO5mt5+vBsrpxzQFE1DFx+e3IJxeMVXHPJG7QERgjrJfqtCh56cC2lCpePXf6sV/D4OJhupPN709m2XmPmJY8L0YYvx5/PLqTquyGe/Nhcbl+0RQEPx0810P7AOJ3/oZP+f+/6TymEfD7fW1Agebmuy49+9CO+8pWvcO211wLw29/+lrq6Ou69914+9rGPkUql+PWvf83vf/97LrroIgD+8Ic/MGnSJJ5//nkuvfTS/9B7iehF0pkQdSdsurIJzERZLVY95SPcLypcqR6QGx2I+WzaEcZQYaNEvkbDMT2ppSO4OTXBDIfafNRXD70FYm6qHmNgUSPLqntVF1/py+JbOEZ3ooKNZk7lbbUGR3j2qjLVNaMegU/EJmysP8Efb13BpnnCFK7omBi6w2Ur9vF8zXQ+XHtMEQRrzXFmX3mMVFHwkA4Vm3k9J0jMy1Yco+QYzKvooej4OBdLojd20rsiznuqD6jxV1gv8qHLt9CxMcmsSA8yL2pKcIDAbVvVqE06Zt/QvJP0196aHxUzCnxh9dM4q4RdetYbP8aNPLdc97RSDBVcE79RZmnFGS6+8RCdVlLZ7wd0i9vaX8BqE8tTdj0Rvcjtc7ao1Gv54M8Jd3PBjHNKiSS9bjYmjqiuTKpUGs1RLkrm0HHotSrBJ0iPtaYIcTS8zkT6dyQN6egt3MD7y3GvA80oubWEqE1XrJ+OUjWVvix15jimRzoHlJnimCvg47eMIlyJeuhKoRb0JLLSIFOqRMY8rkbBMcm5ghwqiwDJ8ZAbuzwY5GsrBBHrLQVJo2/YC3TUmeZ5AonvMY8IzcwR9FzOpweFz4oyxfT3MN3UcDA4Zuk8Nz6XvaPNxP154maBdFB8d5KHIdU0kgybcwKczNUyNTxAUCuT8AnO1dFMAwAXxDrxGkwGrAo298xmRc1Z5kW6lLP3jtRk9nY3cf2M3cwJdWG5Pran23l89wXEajO8f+oO8Qxh8u8dq0g/W8/i6w6wMn6KHquSKcEBvv/Q2zHyGjdd/5yKRHlleBrj351E+dPDLKk5x7RQP46rs+UvS4l2O7R8cUQ5Z78wNBP/1+K8dn09qy45paD+l16fy9SHCnR/N8GU4ADpcoghK0btTkgNxbDmTGzDo4UQ0R6bouayMXaEMTvMMepIT7UxUzqTg0PU+1IE9RKTgjGe2+intXaArfl2Co4geLeu7uTsjCSTg8PKe2d5/AyPfy3GpRWC3FrlyzBcjnL93F30f6eCebEu1amXXIPr37eFuJEXKJXHCdoQP8Liz54l7QQZ8xBwx9W4fdoLjLWHydhBTpXqhNjA8PHPSx+gz4ozUo6q5kkejqYm4keSRpacLZoV2fBE9CJn8jXEgnmVfVd0TGxXI4dfIfeCcK0jcw6l7N3AYWqwj7Qdotcr1kAU4bqHtneVqib8cTwUqt0/zI5MOyk7RKM5RrWZUcKJlB3xSNkF5SQvY5AaPR8hyXXpKQmTVhlVI3k3oqEp0ewfZsiKqXPnTL6GqaEB5YUV1CzeGJ/CaCnEqsrTKix8qBTn+Z4ZLKntpDEwpp73F0dn8ubzs1h04VHWVR4XTQMGv9u9gtjBAEvfvZ/qeFqlDrx493JKcY2b3v+MMPLVMxzL1GF8p4pnrqhn1qW9ShL/9KE5TPu5xYt3TOOTM3oUjyzfEaNhp0P32gTTQv3Yjib2Tr+La7gqUkXXHKZFB9i5cibhVuEW7Xi+RhsaT/LYJ+azacpxANW4vHfZG+xorIUr/u+c8H+d6z+lEDpx4gSNjY0EAgGWL1/OXXfdRXt7O2fOnKGvr49LLrlE/WwgEGD9+vW8/vrrfOxjH2PXrl1YlvWWn2lsbGTu3Lm8/vrr/8tCqFgsUixOzBXHxwXxNusE+MT8rYzOFiTClB1RFuAfvegF9ItFB5OyQ7QFBnFcnQ+943m16EHMPZv8o3z6/Y8qOF7Kg1dXnmTdR4+rQ1Hmil3ReICaDwhDKJnqa6Px0emvEZg50W0auEwN9nHrkpfVJlFwhccKwDfWPoyD7v1uUbRdGD/M4gVn1XhJmG2NsyIhEJFeK8HZQhVl1xBeOcEUUV9RcYJmhqJUSKa+qyuSdKclwkbrYuK1JbnUcg0a/GNidOUZguVcv+L5JIwsI27Uyw8TZGC8A1gSiU3NJunL0FeOK86HdBwes8NqPDBkxTzTsJDH0xFuvICywZeu13KuW3J9DHrZZQaC1NxpJRW6IA3WTN2m30oolZlUngTPQ0CkI2pQK4lRpOaqsU7B450oIrZHCNe9n0mVRYFS6csS1EoUMVXCtHwfAPW+FH3luMp0EkVZQiiKzBSWE8D0srliegHbFeiI5fgo6qKgG3TF5z1VqKXZP6qK0I5iNQNWjAZ/impf2nNDFpEfO8cmc0FFF2FD5CX5jTKP9C8EYF3VCWXyeaJYx5/PLuaD7dvYED5O1vVRbxT55chKtg21cVPz6/SX43QXKxkqRvn6q9fRdEEvfz/lcSJaif5ijFNHG6neoaNfP0hzaJRZwR56ypX84S8XAvCh65/B8O7DI70LcP65lldumcLtc7aoznj7w/OJ9Lq0fH6E1sAQQc3ikd4FRP8hwkMfXMLsjT2iQ9Usdr8yg9Yn8gz+MEbaH1JFYPNmnaH5lZjTJoQHuaKf5FGL4WKEoFaigF8UhZaGY05ESwR1i7CvxJk5JgsqRqg2Bazv4BBdP8DgcAzb1RUiuK7qBL/8bC0bWg4KoYArkIAr1u3i2II6ViZOqdwvM2jT/ZmjTIkMEjeynjeTxkcmv8bxb9ZTZ45zolhPwfUxP9rF1I0DavzQ4ZH068wUn3/Xo8qXSHLjrm7Yh9konj/BowqyNHiGSGORM8Ua2v2DNPpG2Tw6j4SZ523J/WQdP/3luFhz/rynYBL7pRxt7s+10OAfU9l1BW/MKL2eZLitvLKeaaWpC/GHHC3KBiBlC0GKjMQAFBoYMwpKhSpH2NJtXyIlJmL9OOiq8AdUASpVtXJf1XGUgOX8Ak9K4/usOLrm0ld8q22E5Ro83jufRclOmgKjRD07gkOZRraemsb7524n7stR40vTYyX41e41AHx9hXAqt9HYn57MjnsXUFyd5ueL/8irVoRZoW7+/cil1P4uxInbe3l34y4sR6eAyRsPLCB+xqb7zhFmhPuI6EVeyU3D+GMVm9dWctu6Z4XazbDY3dNM00slDs2vZ0PymPjyXaBg4B93CRkCnQpqFg3+McZmuaBPILIjdpRZ0T52vL+N2ZM7vAgksU4/vuQlfnfHci5pOUrSl2F/roVqM817Nr5Gfp1JU2BMjbgrfVluvuZ5tbfK86rJP8rH3/aM4pxKB/720CAfmfea54UkeXk+GvxjXF47wAv87a6/Okdo+fLl/O53v+OZZ57h7rvvpq+vj1WrVjE8PExfn+AG1NXVveXf1NXVqb/r6+vD7/dTWVn5v/yZ/9n17W9/m3g8rv43adIkAPpLccJ6SXlPSAhaKLhyymI+rJc8uFzzUJ2yepjCRlE94FVGRnUQ0rFTykwl4au7JN57yfV5icI+9bDJS3KSdM1RCIC8co5fzfcLrl/9bmlJLiFmqcQI6JbqWGTsRFNgjLbQIPWBceoDKZr8o1635NJijpA0MsrZ2nE1xp2QQkEAtdlIG/yUtwGl7aDq7iQvqMeqVD8/MRf3q6IRJhAJGe4a1ISRl/x5ENLiajPNZP8QvVaCHquStCMQrrjHVZLwqewKpQeSgavur1BVlXFcXW128qAxtTIpO8yQxwmRCFzKDrE306IOUNm17s9NYle6VW2KMQ+Ofqx/Afszkyh5SoigZtFTTPDr06sZLUdwmAh7/PmxtTzWv8B7vwbDdpTjuXr+9fnL2DY+Bcez1Y/7cvxg/4X823OXqM0l7QQ5nGvkd7+7lHsOrWBqQHCKDFz+5fBGXvrhSran2rwAUxFau/U3y/jdvRerQtuvlXm8ez5jX2rmvlOLkfl1PaVKOv40hZ7fiC5YIpfbR9uo+EGMH+29kD47SpVe5IQV5959Sxl+tJnfdK7m+f5ZnM1UUbB9VJyEnuE4k30php0IQ4UovpRORUeRUtlQBPagbmH7XeygS50vRdKXYahcwax4PwOL/bQkR9WzFdAtAmuGGL4sr6wFBssVXNWwn3NfhE2LDgMCKUgYOS676E30bwzR5jncAkwODjP7zv2845pXBXqlibyyd7ftYc1db/CRxpfJOQExPjTyfOzdT/G56x4RKd2uSdYJcE31Hj75wUdZEj9Li39I3ZNb21/mi4ufVYiFfFZun7uFVfGTbwknnhHu4wPNE2GpJwt1VOh5NlYeZWG4A8v10VVKknaCFFyTtsCg9x58al2bmk21LyMiU3wZFd9ToefFWM7jEcr3IlWdcrQy7Kk9bVfndKmGV7MzqA+MMyfUJdSGdpQaX1rYcXhNjtwL5PPdFhhUY9mUHSJpZFWxEdRKasQrX1M2EEkj6422xHsaUnwsXe2J/R4fShbzcs1sS01hqBwVWZAITs2RbCN3n1rDuWKVQhULro/7zi7hl4dXCwWcxxXsLlbyrw9fyU8Pr1PvreiY/PuJlfzlRxexY6xNqfuGyjGe+Pe1PP3ACiWpN7Uyzw/Owvhakgd2LiGoCcFL2g6yZfds2v/N4UimHmloWnRM4jsCVG7zM2KLPTysl8ReM+jg2GLfz9t+xuwINRUZhmf7aI6MUaHnPYTUT2TjAD1XWdT6xfrKOgEWxzuo+HAXlyw+oFB2yzX4yMzXmfpPh7mmbT+Oqym7izvWP8lVn9rKygphlClR8R+87Q/csGYbQW8sHNMLVJtpPr7kJa6u24ep2fSX44x5aNbfz3mSycFhDuWblX/XrFAPAb0seI2eQEaOzuRZJs4rvwq7rfRlSXsxSVJAJGOX5EhUrom8t/b+VtdfHRG6/PIJktO8efNYuXIlU6ZM4be//S0rVqwAQNO0t/wb13X/hz/776//q5+58847+dznPqf+e3x8nEmTJlFlZhiyYsR9ufM8L3ze3FYYPknHXKkMkx2L7lWpclPQddczkBMPadGDouXoI2cHvHT3koJDpfunHHPomqOCIXV0hSLkXDHjDWtldG80E9QsRYLTmZD+h73DHEQVLn9fziOqVfvSGLorqmsvFbjbrqQtMMipUi2j5QjN/hE6itWC42Fm3vLApuww3cUEk4IjJIwcI+UonYUkFT7hcBr3CZPAkXKUN8baaA2PMDPUi2kIEubRfAP7R5uYX9lNU2BUqVZ+3b2GfNnkXU27RZHgiIflp4c2sbipk42VR7FdnVOlWt4cbWXfsRbes3Q7U4IDmFqZUTfCT3euR/M5fGrRS6q73JFu58UnFlG/ppurGg4otca391xG9I0wF39wGyuip8S4Jd/AS79dRmaSyz9c9RcVgvlE11yCP6lk5ydSfLB9Gw4auuby2MOrqDzmkPhyXjiEOya70y0U/rGB5za2svDaDu/wMHlyz3ym/3uRzd+cww3NOxXCFbu/gu6GBLFb31Rcoe19LUy7L8dL9dOITi0SMizytol/T5T4GQf9Eof2QD8AA6UKwn0umdGAQiKjRgGf4WAHIGHmFWem2T9CerKDHXVUplXaDrG0uoPH3r6cpbVHhdmcl1EXv6aHoYxASzutJKlymDkVvTzwyTqumHyMvnKCp1PzGSlFqK5Ok9tYJGCUmRob4urK3czzj5L+ikZCh9NWiN/3r2IkH2bqyg5YCWtigxi4SiXz+Xc9KjZrdBxXKNWWxM6w5ANnVBAniEPytmlbcDyyvSw0/FqZ2+ZsIeeIZ81GZ0+uldnhHpZEz5wXbSAagsWxDoVAyjFFtZnGr5XVAR838gyWY9T40kwyh3lhfA5Rz0ZBjnYt1yeM6kBt9PLgB1EcJY0MBdevkNGEkVPByjJWIawXafCPKTdiyxLE1fMNIuUhHNTKxI0s50rVxI28+vxS8m5qIt9LGhjKwmdCrWooIu1gOebJ37NqHNrkHyVlRzhXTBLQy4T1kldQaRwcb8Svl1ma6KDal6beHKOzVMUfzi1nTqKPJbEzpL0CcuvYDF45PYV3ztrLlOCA8i/62ZsbAPjM0heEkhabF4ancerBaUx55wkuqT6s9uLfP7uexHEIfGqrQsP3Zydx6tuzeG2lwaevegpTE9FDm4/NZtqPLLZ8czoNrSn1XVjPVFPV7zA0PUaDfwzL8TFUilKz26E3EkGf4zBii/FULFik7LEgJL8uoFukZpfRQmVvDxc2H0srO/jtLY0sbBeKr6FyjFmhbm5Zs5UHmi/g4ngHcSNPR6maBnOMiz6yTZ0bcsx+ceVB2r48RM7xc7TUwOr4CbJOgHc37yZ5c4a0HaTPG7vHjTy3tr9MdnLAKxIESpY0slxZf4CAblGh5zlZrBMZgLrFwug5b5pgqrMmqJWZG+pSGXlivKh7uY9FpGda2gkqdaEUJACKKN1VqhKNiVekBb39o9LM0mMllCP2hNu8jeWYnlpswuPN0kuYeln9nIzNkXQU+T5tNMbtCdftv8X1ny6fj0QizJs3jxMnTnDNNdcAAvVpaGhQPzMwMKBQovr6ekqlEqOjo29BhQYGBli1atX/8nUCgQCBwP9YRRq4+L0uImHmPLVXGfAzUo5wLFPHhckj9FtxlRC9L9tCRy7JvAoPejeE+deWkZn4NIdFFeeoM1MUHZMBq4Ktg9NoiYyyqKID29WJGgW6i5U8enoeV7Yfoi0wSFcpSWtgiOdHZvP6iXZuXLCTqcF+LEOgML8/tQzLNrhp+htKfj9UjvHvr6yntm2YG1rfJGHkKDomzw/PYu/2qcxfdoo1yVNEjQIVep4fH9yAdijGpVeLIE8QBNLfPLUJdPjkFZuJ6QUqfVl2pNvZ+bOFjGwqcMfiZxQh9l8ObaLq/jDVnznL5OAwI2UxHnvp3qWgwbobdrEkfJrTpVpeH21n9GutvHntVL5y4aMqAPaBN5cw/d+L7Pymjzkt3diuzrFCAwP3thIYcxj4agUt/mHCepHXU1Np/lcf26+Yxbq3i7yjlB1i3+lmpv+qwMstU5nT1q1UNxX7/PjHXVILQjSYYwR1ixPjNdTsK9M7p4JA0wScbY/5CYyJMZYcz1WbGewgOP4JyWfSyNIcG+PovFqmxiZSj/1aGW3+OH01Ec/RO0Crf4jZ0R5eum4m06cIOp/kl12+8AAvfWEqH2nc7xXSLg3+MSZ/5hgF26eMCwuuyQ1tu9j+z23cnBCeIkvCpxksV7D05jOMe3ykE8V6Gs1RLqw4RODzZZK+LKXzFBkfn/4y6alBWv0i16yrVEXQtPjSFY+9ZUzQUaxmRriPL1/98Fv+LO7LcUPzTu8zTIwWdFwum3yEomPy0thMsmU/CX+ed7bsZW6ok0m+MVp9LlEtgKFFiTsl9pR8HCo2o+MyK9lP3MyLrtUnYHDZjVYZGY4UGhU8Lr2mgrrYvHO2cEK20ZQJniRv665QWqbssBfrIfy4WgLD9Ftx5oa6GCpVeMouocCRXbPFhMuvNOuThXREL9JbSlDQC+zLtzI91OdlgQVUDIJEjiWnRBY21b5xLI+kLosQWQSdLNbR4h9S8mNhqBlTPj+jHgFWFtgxI8/JQj1Hs3W0hEZJ+rIMlSuo9GXZm27hRKqGqxv3C1NAx2TEjvCrQ6uZUT/AlbX71Ujoib55nDjYzIUrRCZY2gnRW0rw4MNrKdSVuWPDkwpJvbd7GaVf1zN+fZqr2w4Q94n7dnpzOxVnHfSvnqHeHCOmF3g9NUW4YV/WyPy3d6oR80v7ZjLlfpsD/9BIW92g4nMlX/Vj+zWGLogxNdhPzvGTtoKEhh36czE1oorpRexEmWyDqYQOAK3BYZ7ZoFM1fUi9VoWe56pZB3j89nm8r2mP1yQKI77F791PygrSFhhUdhvLK04T/7u8GmtOMkfotJLcMvlV0ncIY1eZw1bjS/O5tc8QMwTaJvlVbYEBvr7iUTUhCOgWg+UK6swUt057hZQtnlf5HE0L9YuwatenDvu0HWJJ+DT7Ci2K8yiLLcntMrHVCEuqYidCcX0eX8mH7nrEZw/hkg73Qc0ioLn0lhLMCnUT1CweHl7M5cn9yqpBop11ZopeKyHOTt3CYcLsMuyN5QExjvfy48Je8ZSyQ97UIiJ8hTxpfdExOZxpRMelLTxE2JtiZOwgfzm9kCnJIVYmTyvFYVexkme3XsCkBb28reGgso94tGcBY79LAk/9L8/7v/b1n14IFYtFjhw5wtq1a2lra6O+vp7nnnuOhQsFN6FUKrF161a+853vALB48WJM0+S5557juuuuA6C3t5eDBw/y3e9+9z/8+n7d4rmh+aT+pYWed5b45AVblWfCL/euoe3XGr/4YjW3Td3CyUIdOcPP488sp3lLiZ67ssyPChKh7WgcvX8mZtZl2m0D6jAaKMUo/bCB7XMmccEHOsm5guz76sAUJn0L/vyxZXxtwyMkfVlsV+e1/dOZcXeWl++aSl3zuDAPdMJoT1cSHXfJfCmouC1DVpTJj9r0rK7FaHXpt0RQXncmTuOrDiem1LCuSqQZD9tRSoNhmg7YjFwWxgoKfxRDcwgOaaDhSTFNNVZyDTAM0SnkHJEUXhXLkmmMMSOQ9TgAAiVKzy5BWWdNxXH25CcT1kvMqejl3kun0TazG5B26gYLZ55lz4cnc23VOaUSavYPY147QK5kKnt5x9WZE+3hwJcbuLzuoELl4kaeDy9+ja3fnsa1dYdEijPiQb7oA28AqEgOHYf1NSdIf62TZv+okI26grj91Y2PcW51FQ3mmOe8LMi/H/rA014Yr3hv6HB1zV5Wvf+0QpPSThDTtfnKvM2MzQ4zzd/Htuw0Oq0kSSPLV9c+PqGSA5rMUWri4ySnZlVshxxvXVG9X1nkN/qFX0hML3B1zV5yToB2/wBBzWJVqJNB28/m9Hx6ignytkmnmaQ9JDZ2GXZa40tzplgjQhjPM4OU6hd5HyJ6kcFyxQRK4K2BkVJE8LC8TRdEMad7nZ3wvCozOThM3MiyNHgOv+bQ7Augo1N0YcSxedMy6Ssn6LESnMzVki0HGC5EiJgC4TKNCZhchk92WiI7SSpe5KYoN3WZsSYLFVU8WY20GDklSIgZebanpzA73EONb5yzhWr6ynFPneNTv0MWPdK7Bk3wF3anW5gWHsAyhO9PnZli+3g7w8UIl9YcwnInHJh/e3wFixo6WR4/A65QEP2qYy2dPUnec8FOqs0Ms0LdHC808PvHN8LULB+f+7JAoNG57+wSnMerWPLhvUwKjhLUSnRZVfzp95vQHLjl5ifZOd5K0p/jwGgj2req2fZRh89f8JwiFb/2xALqdpQY+U5EfbaBUgVNd5ucWNOOc90B/LooAI+faKTleYfiMkMZlyZ9WYJDYAekR4zYvxKBPOcqNSYnR1gRPUmTb4x2X5k3rmxjd0cLo1aE+8ZXkDDzmJrDqfcazJt+RjhRI1y2L190gH2tjVxZe1gpP4NamVW3vknIsJga7CftjV4vqTuM9aXjxIyCGsXqONy55kmP++cq48ZKX5a/u+wRmsxRtmWnUnCzxPQC88JdzFvc5X0OEQPkuDqr4ic9U8Na4l6QdtYJKIJ5p5X0xk/Cv0yOZs9H0QLn0Rzk+pMFkLQdMHWRB5Zz/EwyR8g5fnqshOK6iH0spEZuMp/vYGGSQvm6SlUEjawa3Qc1i6LXLMhLcqqkk3bKDmM5PjIeCtnsHxHKNDtAxg5QbWaIetxPA5e+coLjYzUsrxDoo5xGvDw8jf5cjBsm7VJ7Sm8pzn1vLqdx0jA3tuxUn39/uokDT8ykZmMPN07aoZ6nuw+spvK5EK03n2BN8qQn1/fz5oPz8OVh3scFgjdgVTBqhYn9oYKjMytZct05woZwHj+bSdK8xeZsZQ1Gg0vclyXn+BnLhTDzE43q3+L6qxdCX/jCF7jqqqtoaWlhYGCAb33rW4yPj3PTTTehaRq33347d911F9OmTWPatGncddddhMNhbrzxRgDi8Tgf/vCH+fznP09VVRXJZJIvfOELzJs3T6nI/iNX3vFTF0xzeq5BQ3WKat+4UgAtaO3iyLppLK48DSCszO0QkTmjdOmVNNsmR7KNXuFUxNqQImcZtAUGvA3bR1Ar88KHstTH00rJU3BN1tWd5JG/n89VLXsAFF/gXct2sqVpGu9oOOKpw4QZ3sKbDpCygqprtdGZGeql6+8TrK/oIWaIiIKsE+Ajk19j11cmc0H0nEgA1kV20MfWbSG9OugRm3U1r/3QB58mbQfVuM7UbBZHz1L3qXHPKE33eDR+PtD6Brlb/WLs4OpqXPi1NY9Rcn2cLNbRYI5RcEVBc/tVTygTLsv1YTs666pOcM3aPTjoHmFSjCre1yp8ZQD6i3GVmP2R9tdIGFn6rQRJI6PGGu9s2E1Qt+i0kqpbmBfpIuwd8KPlCAHdT605ToM5pt6D7JoMHNoCwgJAd11yth/LNUgaWUXWPN9TRSYj93oGmwXXxLJFQXG42IThjQ8l+RnEGNHUbM6WqnFcnbmhLqVoA0j6MioeJOnLkLYnxisjdpSiY9LkGyfr+tCBoGYzUIrRkxOGfLarsTR6Rr2e9JeaGGNGiBtZRfCVURuWh0BJlE7XXKUaEXN911uXPs8VfGIDldymKf5+ZpgpYroBGBwpOWzJziDn+DmcbqAjXUkqF8KyDJIVWaYlBrm6YR8XBDs4a9WwO9PqEWhFvpVhZNk3Pon+fIxL6g6r+9BrJfjTqUXMqB7goiqhkLTReahnIadP1/G51c/S5B9lqBzDcg3ueWYjkWljfGjaNgxNuJI/dmIekRcjzHz/US8l3FOkuRMZbUXHxNAsHupdiPatarZ/qpUvzX1Wdcs7Hp1H9YEyJ74xxOxwDyXXx65UKw0/MNl21RyWXtmhXq93Xz0tL9uMzQ1zQaSDfitBR76K6r0OQ0SouUD4g+k4lMoGkZQrgodjAlkMG0VyjQ6aLQ7f6ZEBhRQ9elUjy1qPqUiKmF5g5sUnODyvnmWRU+zKtdFgjjE5OMTeOwe4sGJA3X9Ts/nAytcoLBexOz0eX7HOTHHjx595Cxcx6wR4W+0Bcp8+Rr0vxclivYeCpfhC09N01lYJ403bR5eVYEZFP3esFl26RDHSTpDp4T6WxU4r0rgcIS6IdCpETSI3cSOPpYtxXZUvw45MOw3+FGG9SMYJe2vVUaIFB41TpVrmhLrYn2vB9NvqfsqiQXIzAcbsCLOC3ezKtRHWS4qILQuZHqvSowEU1ThM7i2S06R8dFxX+dtIWoKFgeFOjIKky7tEURxXp6uUxEETLueIQj/nBHh9tJ3p0QECQYtqU1hOdBcTPN85gytaD9EUGCWsief6oZ6FnO6s4ZbFr2LqZeJGnnNWFQ89uxKtNcstc1/D0cQ46/He+WR/04h1wwjvb99BtSlCcv9py1XUv6Lx+m1TWB4/o4rnUw9OIzzg0PulOGagrNCf2pd9jDXXk7kxqEjmGStA/LTD4JKIQr7DepFYpEChJkzYV1LrKaBbuCtTFGydjC0aWtvVaQ8Nsusjg8yNpjC82KCgXmR99Qn2fSXPxmi/WrsxvcDNU7dx5NMJdv3lP3TU/29df/VCqKuri/e85z0MDQ1RU1PDihUreOONN2htbQXgS1/6Evl8nk984hOMjo6yfPlynn32WeUhBPDDH/4Qn8/HddddRz6f58ILL+See+75D3sIgdjYZ0Z7WfqeM+iaq2DQnlIl19W9Sc91p7DR6LfiFByTjB3goknHmDxtSHXL9eYYCT3HdYt2MmBHybkBBsoVBLUSk/zDfG3eE6TtkCI4W65Bs3+Eb817lG5LpEbHjRxD5RiTg0PcMmWAgmuqIsNyDebFumg0hdOqVIMVHZPLqw8iwyolJG6jMyvcy2g5og5nSTpO+rJEvIdckoelwkSiLSAQj6AuwxKLCi2Q39lEqKmQhErVk+TDgLAXGChV0OQfVUou6ZUxVK5QXATR2Yj0aRlSKBOOk74MtquxP9dCs39EydMlv0V2Z6aHFBQcU+WRVfvS2OiKMJ5zRNKy9PgouCa5svh8jqudx9sKeGORsveefeQclF+HHMfIwiplhan0ZZWHjY2OhUFMz4uCqhwmqFtU+8bptJJCWYZOwidSyPutCmXkKWfoOSfA6XwN9f5x0o6fqWaBuB4iohXJ2376sjEi/olN5lShlrztZ2G0Q3WQxwv1bBtoY13dSaYHe0VYrB1h20g7neOVvGfym0QNMfc/W6jmvl3LmDO1m8trD2K74vP+4vgaMucquHnDVqp9acWL+efH305wWoq7F/yeYSfC6WIdPzm4nsrHwtjvGaEumqYunKYqlKP/121kaqOs//BrrAidwXJ1/tizHOvrdTzxCZvPzntBFZa7n5xN7R6Lzm/20V4xSF85zo7RyTR8z8++t0/joiuPKISoY08TLS/b7J0/ieVxgdb1W3GSh2DUSeBMFYqtiF5E01xBRvWg/Zzjp+A57Mb0PEfzjdT6xwnrRdpjw7yyqYllTScRKfPCLTe2doDuuTHeE+pVzciKxGl+f0c1F9cfVZwKU7O58dKXOba6jsXRswyWKwjrRVbHT1D3lXGqzQmpcmtgiE/O2ErqqyEVLCmfkb+77BH1zDX7hVv3pvhhKi/O0eIfUnuVCbyzbjeX1QQ4WaxnSqBfKNK0PDc07sTQHBp9o+zJT0bXHKp9GTXeqTbTitwr+Y8F1yRpZOgvTxTUkh82NdDHqVItTV4cSM7x0xoeYbwcoiUwzCT/MGk7xLhX7MgiQhJrbQT/Q0rHLdegJjBOT6lSGV4aOMoBXPIT5feg8v68kaZALcU+0OAfUwVtyiPYhj1DUxBjqa5SJcFQiYBW9kjcFt1WJaNWhAZ/ipi3D6ecMHvGJrEyeZoGc1Q1JVuHppEpBbhxkrBbsNHpLlZy3/YVTJ7Sz/VNb6pnUmYBFjAJayW1P/3hmfWEuzWu+tArTA2KQ/50vobef53C/oXT+MTbBUUBTWdL13TqvuPn0S/M45aZryl5/rk3m2h51ebUrBrmRHu8fdQh2qmRCoZx5ngmr65JXSjN4SqdqCm4UhIJmzm7k6PuJDaFRhVfdXqoj9PXHWVfTxMN/pS6X7X+cWZ84hAJM6/Q8pxrsKn6GP1f7iXpyyqEytRsbp66jVy7XzU6DoIPdPP0bQqBFfJ+QfO4YdIutffJq+CYrEycVh5pI+UI+MT32h4a+A+f9f8711+9ELr//vv/T/9e0zS+/vWv8/Wvf/1/+TPBYJAf//jH/PjHP/7ffj+a5hDyFGExrzsQFamlFkHGDtLkjSyqzTRN5ghpO8S8QA8x3cZ2YdAJcLZcxcF8M52FSkxP2SJDW6t9wgVYHlJpJ8hQPuYZB1rIOA/H1UHDi8vIca5Upeay4kAOII3FZDK3TCjPep21vKJGgd5SQnU+5yebD1kxZY5X4xne9VtCTRXWi4pALg8oSeS0XOFaLCMC5EYpf2/UKHghkyUvzTyvJMi4wr9C/iwIqXiPVal8a+QmKQsXgKFyBUFPDVOwTNVFylBH8fp+ZJp9zhEoUOE8KHnAEiGkMb2gEBPLNdg3PokFFYLLI+X1r4xNA+Di5GH1Wjk7zL2nlrCkvpNV8ZOk7DBRo8DOdAsvnpzOO2btZV5YjD5T5TC/2ruaYLjETTO2k/RlqDdT/Kp7LWeebWPGZSfYWHVcHbD3vrwKX1bnlqueJWlkGbEjdOSr2fnjRQxdUmD5ypPk3DyGU6TH1ii7On7DJmCUiZpFjhQaefV7y0m36Cy8qUOQYg2bzR2zaPyGzmNfm8ttMwa9SIcypx+YRqzTpvurCWaE+wjqFiezNUy9p8yRd7Vy6cWHJ6TBeytp2WkxtDpKpS+L7WpibRyD4aowR0sNnCnWkLP9lEsGmgtNsRQLEl2K2/LPCyfjev5ar+WnCJQrnGLr5a2sbj2o/F1qfOPUbeimZ36ca0KDym5ibdUJHvxKlCvqDiqUIahZ3HLZ8xxY3cTMaK+6/3Vmio23bROkZ9+4UlV+fcET7J82iSnBAaQLsVRm+jVbKVNSdoTV8RNcfMNB+q0E/Z7CMGHkuH3KC+p9vpGZSktgmISR4+Yp26jxjdNRqibtCGfk+aFOhaKBN3K0I0wPCm5eZ6mKsFH0uEZ+dSAYHsojv3+JSEpPMR0H3XufEmWQa1QohXJKIYqU/WsOg3YFtqvTYI7SX45jer8PF/WsiewnseWL0Y2rDibJWXHQWRU6Tb2BF8/i8ZhCQ2JP0SzPNLGkPNbE8xPwCN4e18szEszZfk4X65ga7ONMsZacE+BQppGGYEqhCwXXZH+2mYMjDbyzea96TlNOiF8dWk1lLMc7W/aoeKFtY+3semkms9acZkP1MWVS+MOdFxHbFyD4wa20+IexEWGnW3++nPEp8NVr/qLGpo+dm0vlD6L88bYkN0/bpvaLc89MJjjk0v/pONVmGgNHFIFPQOfGBqzGCaNOia7LEO24kSOgm5TjZYoFgY5J/luVP0PPRpfkpGE1Ah6zw1zecpgHPrOQ66bsp8ZrnGw0rr54O71r48JDy7s/M0M96B95RanypIfS6sqTrL71pDpnpHDimvq9UL9XnXl4ZPNra3axofKYEvxIKsb6xHHl5XS+enNhuINOK0mNb5xjhQY1ShZFvU9xj+T+jtd8i4K2qIQ/eG7VqhHVLRaEOngxPZukL6vU2ec/V3+r67981piA2ywyWpCUHSJqFEj40qTtEB3FasJGkbbAIIAyrIvpBWEmp9sUXRh2Apwu1bI/N4muQoKMFcBv2MTNPFGKRM0CvaU4UW/UAyh31a5SUnW4SZ9wJ814Y6qUHabBFFD5aDmiipO4kffGPhZnijWCu6GLTlI+hCfytVT4CqpLAhgqxxi1wsIJ1ZdhqByjwRzjeKGefWPNvK32AEWPZFltplVwac4OYHjRAb2lCv7UuYRF1Z3MC3cpxOXVkSmcGa3ixik7hdW65nAo18QTp+aSiOa4seVNTE2oLXaOt7Fl2zxWLjvKlVX7lHrlD6eXkj6S5EOXb1Gf80i+kQceW0Ox0eKOVZs9pZzL5oE5DP6+Fd+7B/h421YcTfih/OLlTVTt0ln3ye3MCPdRZWR4eXwGe793AX1rXL504RPKy+hHb26i/Zfw4J3V3Nr+sgqDPf6HGQTGXM59uV9tmK+OTKXuO35eum4uSy8943kZBXnxlXm0P5Sn858rmRPuFpsPGrXP+MlXB9FnOmoskbX81O0ocnxJLVfX7puwOUjr+Mc0BRcnjSxDvhhWBIIhcUBmHZ0s0F2uwK+XaYymKDs6zcExwnqJvk1lzKgnw9WLVOh5Lp50jIc+vphrJ+2aIDprDi3vPI3jatT60+qQXVt5kse+Eebayi6Svgw9VkJkGr37Sc5eVcXk4LBCEOO+HBs/+Qa1/nG1/gJ6mQ8veJ3gQou5wU5Fch6xo3zu0icVggIwO9iFjcbSt59RBXxEL+LXbC6uO8rsyd0MlCsYsCqYHzpHR6mG90/ejuUa+LUy6KjiYV2lMFvL2EFFwp0SHPDWcVR5lYguVFccI5mjJAnP88Jd6s/7rTgN5igxI08MgVKWXJ8qoDutKpoCo+qwMnA9U0DxWjYiJ6zomGCg0FJpuSEduyVPSyrWJMFbdu1pO0TGG2dKJ2wZYFpwTXWw1PlSDHmokzxEdJiIS/BQsTozpb6ToXIM3XPVlmvjWK4eB42poQGCegFH0zlXrOKF3umsqTvN0uhpZvv7qTN0jlk+nh6dR8gosX+kiUN6A1XBLL/dt5ZgXZbb52xRHKqHehYy9HizUoJJRO63T20k0q2x4YM7COgW1b40D/cvZPyHk9h6fYnPXvCCGNG68MLLC2jdbLH7v7WwJH5WofHVD4bJNEUJ31JSSEdXJkHjK2VOz0lyTZ0Y4afKYdycgZF3sT0OjV8rEzIsxtuA1pxKlK/2pdnUdIIHrl/K5U1nlP9PWC8x/6ojDBcECViuqxnhPsb+LsSyYIqYN+6x0SnYE07nwsNJGPh+a8NDnCnW0OIXJrslT717x4YnvcLPr+wVGvwp/m7hZuWFJhW2RcdkUnCERnOUvnJcqcdkWDRM5BCqwG+9TNwoc65UTYt/CMMLJo4bOdDA9qYMI65AGg0ctfYcz/5EKjdloS6d94uOsJNI+rLUmWN0lKoxcKn2jZNzAgxYFcoZPqhZirMof0/aCQprAc+kM6YXGC1H+PPwciK+IjFXjOIczy7i3rOLgFf+d47+/9D1X74Qyjt+XNvHkz1zaY6OsbpSVM6mz+ZUoYYtpxexvOEcKypOEdTETXw6NZ9HT8/ji3OeY5I5zNlSDf1WnIdPLqDUGaFpTj+N0RRRo0hALxPUytT6xxUnp0LPsys7mYe3LCfYnubm6dvUGGdnqpU9D82l+pJu3t64D+nq/JPdG4gcDHLh9TuYFuonaoiF8scHN+H4XG6+5nmvei+yc7yNQz+eS/9qh8+tfwa88dr9JxeT/G2EXZ8c4Ibmncrx+c8Pr6dmb5mDXxXmXI6jE9QLjJSj5OwApl72ij+HxzvmUvsNH4/dNp+ZS0R3a6Nx9Llp1Owpc+ZrNQTDZbXAq+8NM94aw/qIoeb0B4YbmPKXAm/UTmZ5/IziPY0fr6Rxm03XpkpiRgE8xUO4B7Syn9TysOCvuELppVuQLfoV8TCsl9ArixSqworjMmaHqfOPM7hQo6ptZGLUByxuO8fuq6dzZd0BtTmaWhnflUOMFwSqJBG3eRU9PHhHDddMOqDGlaZm8/aNOzi4sJHF8Q7lWlvtS7P6cwI6l6qkYTvK+5q3s++fJjHNg3Wlc+3Hr9nsqYnyatNaFjlN/ON5DM3haLGRMd+Y6uYSpvCGyZYFYjYr2M231z5IwTU9U0kx9psX6WLeui6ynimk/D4urTmkiKgTxGOXq+v3q+9GZhGF9SJNgTH1vHQWkkwL9TMt1E+FnqeHSpWZZqPh12zGnDAdhWoydpBaUxiXSpQj5wh/FCnlltEKMn8LUETySl9WFYvykLNdQX6V41DH1TzTygnHb8OdIFIGdIuEkaWjVE3Sy2aSOUwy5FhHxCj0WgkRTqujeCwRvag6YrmmM7bgSIzZYXUgp2wxHhU5ZrbgYbkG50pVivwf1kscy9Wjay4zQ70qMyvtBHl+YCbLq87SEhimt5RgWqCPp4fn0jFeyU2tb3jrpUTKDvGzXetpaxri2sY9xHRhfvmTUxtJ7anm6reJSIMqI0NHqZp/f/QirEqHz2x4Bhlied/ZJRj3Jan96FmurN0vxBB2gFf+uBij4DL905u90ZTDzuFWYt+K8cBNS5i8ZogDuBzWHL526CpKeyuZsuEMFYECJdsg4itRu01jvK2C4ixTjZuLZR+RPofRYlj5icX0AuWETb5s0BIYUd/prIo+Hrh0Egubu4V9AMIocdGKExydWsv1lccJaiXlazT9c4e89SXIyY3mGO9r2c7BbzVR6xeRMQXXZG6ok1vXvsjQiigtgWFVMLYFBrntmieI6XkSRo49uckAzAl3M3N9ryiU7eCEWW3yiKImhL3CNmbkWVd5XBX1pmZT5TnOB7USKUe4bOdcP/1WnLbAANODvSqsVhasosAVPMXieeRrGU8kfc+azFHaAgPszbYqpErkY7pv4UWZWlkVy0rU4oQ8b56A4lqKYlOQvCU1AFCIv4lAdo4XRBrE9KBAkc8Ua7AMg1dHplIfTNPiH6LfqiGsF4UX095VvG3WIeZGuhS/7Rcn1pI+XsnbN4lGNeNZuvzy+QsJ9+i87cbXvcgjg1Q5xI6fLCJfp/HRm55UI7LXR9uJ/0v4//Rc/2tf/+ULIZ9mcyA9GeMHVexZ0cDK604rx+QDo43Uf8fP8++fw/z1XeiayZliLfftXsaMnxX4/lcu4l3teyk6okrWd8eY8lIW/6KCghYBanzjjNkC0ak204w7IcbLQZpecujPVRCYOeHseTpVTc2+EucWVtLYKhxaHVfHLRgEh1zytjQlK4tcKJ94QMN6STh+ogvPmVods1LwfWTqcHvVMKdmx1kYHRNES9tPtS+Nb8EYPbEKLvGL9HRH19E1lyErSkAre8GvISzXx7qmUzz2mflcPWe/epCSRpb5lx2la3WCxoBUYDlMDg6x/1PdTI+IIMGIXqTHquS9rTt55TtTubmiS0HnuuZy8yUvkrvIT1tgkBE7QgCL6aE++NhrBPQy1T6R/j1mh7ms7hDOHUfU+ANAx+azF7yAs0AnZuQV8ThmFPjy2x9WB6U0uLy2ZjeXXnlIpB5blSSNDGdKtXxiylYApeTSNYdZoW5umzGixhBSHj0v0sXaiuN0W5WkyqJQyzkB5kW60D11iNzEipisrzjmmf/FlPRVIm/njzWH7SimLmb63aVKzhaEp1N9IEVLYJj54U4PncwzZkcU3C2LYYCuUpKpgX7G3DAj5Shhvahcq2HCRyZu5PFrZTJuUDmgS5KoHC/KzbY9NKhGNAVXEK0B+spxpQyJGzmSRlYERXokbjniMHCVeZ9QI4qRiWmI+yrvjexE0UQxI9HZmC/vjZEE/2GgLDrN8zf70/kaor4iTX6hwDqUb8Z2dfqLFRBGIIK6eP3XxqbQn4txbeNeqn1pUfgW4/xu/3IWTu5kY9UxVTQ+0n0B547U886126kzU8osE6AtMCCMT3XhpfKLk2vwPZNg9vuP0BYYJKYX6Col2fKbFVgRaPnAk94za/LguYXE7ory0O1xvjT3WZr9I5wo1nPgyZlUHyhz7ptVTA4OYbkGhzONtP1O4+wVjdC4Bx2H06VaBnvjtG4r07spzrxwJ2Oej5h/TMM1JkYccSNHMpSjq7WaOYEMjqsp6X5hZQbb1tX4OGYUWFV9mj98sprVk08wYFXQXawkbJTYOOkEZyuruKF+h7JzqDHG2fZFMdpJ+jIMlmOEtRIfaH2Doa/EiHmOy6I4zXHHuidV8ZswcuzPT2JaqJ8vbNisngXp2L628iSbkkcF8qELlLWnVMn6xDHPiFXsRdJGY3ZYWJuk7LDIz7KSgChwJNFacpECukXaCeGgU22mPRGETxXuAV1TDtNyn7bwqTGa7XEkHSZ87LKOH79WxvHoFSCk5uJ3hDC0ibGj9KqTvE35Z4IM71c8qKQvw5gdptuqZEQ6hYNqsA0cXk1NpeT4WOx5F+k4JI0cdx28jNbkKFfX7VPI6el8Dc+8sIgZK87yrvpdShRw95HV+F+Lsew9+zxVtDCkfPyBVQRHXOIfF4i9tIEZ/G47h+f7mPXeHmaFejhTrOGxznlM/ZnNkx+ex6xVParxGeuLMek1mzPLq5gd7hEjMtvAyIvGVjZsluuj1kwzvMDFqbCoM8fYm22l2swwp6KXe26sh1f/r8/3v9alua77t9Wp/Y2u8fFx4vE439u5Gjcc4ZeHV9NeM8yaqlNKrdRbSvDQyQUsb+5gScVZVYDsHG/jzb5JXNF6iKhRpD0wQKeVZMiKkS4HuaJyL0HNotOqUvPU83ObpInUa2NTmBoZpC0wqGTNMUNsQqfzNaysOKlSr6XUUBqnyVGDOKx8JI2sIlfLQ0Y+7ICa/cs/s1yfMtE6P6PqfL4CCG6N7pGWdU24EEvoV/IKpN9KwTVVZyflmPU+QcKW8RcZO0izf4SSNw9WXbx3sCprgHJMkZJBwNhyc5ep4yeK9RQdUzkL//fdudx05XcgNxTJlZKbm5CRxxSx0/Q4I4CS1SoFUykhEsK9+yXn6LIgkDwt+Z3IEZEIZC38d2o0EdYq74+cqUuHXcl/kiZ5BdenfE6Shvg7w1PQyJl7d7GS6aE+MZYqRwWB3usuh6yYCqiUnDS5JmTBFTUKXoE2ITHfnW6hKTimTPkCusW+9CT8epl18eOY3vsbsSM80rWAjfUnPF8lv0K5RsoRL9F+gEFv7PX7PStYNKWDjVXH1Jq9v3Mx/YdquW7T6yq1e7Ac41ePXEKp2ua2tc8qE8/fn1qG8UQli2/ZqwzjUnaIB3+5iVIMPvzep1VX+0jfBRT/WwMDn87z+VnPe748Be6653qSR20u+vorygX6tdGpDN7Ryul3Bbnj0sfU2vzey5cz+RGXSV87xqr4KcVtGi1HqDXHFTcO4LdnVlB4oYal1+1nUUWHGnX98KXLIGrx+aXPIQNeN4/M56W9s7hi8T5lRBjWizw3MpuzqSS3tL2q1m/ODrA7NYn31b9BnxVnf3YSF8YP01Gq5lxRoHUSsYzpeUV4liZ1clQjnxPpVSPRP1Mrq+L9fMXk+XuN3B9kg1Vvpih5SIJEL2T0RcEbCZpeQyUL5vZAP8+MzWNupFsZviaMHCcLdbQFBtVz1W9VEDMKAqkDtXZjRoGCI1yo5eeVaezS2sD2EBRJtk4aMq3dPG9kWlbiBFl8SIRGFv8StZT7gmwS5HMDcCJfR0AvqzgbQxPqzRcHpzO9YoC5kW61zz09OJdD3Q18aO42FemRc/zcfWAN1rifW1a+rPbbE/k6nr5vJZnZRT637HnVUN59dg3+H1VRuG2Ej7W9os6ZX/3ubVR0OFx658uKw3SmWMOOO5cyNM/kQzc9rb7rf+9YTeBbCU59ROOzS15Q38Vdb15O7eYAUz51lIuSh5Wv0U9fvRBfyuAjb3tefdepcpi7d64lUZ3hY9NeIenLcCTfRNHxsfncbNY3n2R2uEetuZFylI5CkrmRHnUvJdJT6cuqM07eG7lnS0uBsCECa4tZi88teZ1UKkVFRcX/LyXAf+j6L48IFV2TGiPH7XO3AKgCAaDBP8bn5zzvVcR+Ru0glT6LTZVHOJetZFn0NGN2mHFHbIDrYkc5XazjdLEO6RINE/b6cjOShcsNtTs4VmhQxUDaDirezvxop+pupIpEFkGOq1P0OA5hvYTuOopHFDfyOJquHpgxO6w4R3IUIxVc8s8dV1O+MwYuqXJYJXKfX4xIAzrpzCvJcnJzkaGBBg4JX47jhXpVnMjOudYcV4S/pJH1LN+FyspAvLeIYSlr9QCWKoJkkZdz/JwoCpi20pdVm5E83OXGKL8rNIjpeXqtBKYvS0Bzz/PvEIRSAxfTI7LLLjKmF+grx4kbeZXlZWiiSGv1D6lRVMYNKt8RU7NxNJ2hclRJTCWxuuCanC1UEzZKzAl10VWqUtEAhzONtIRGlPoM4KHehTSEx1lScVZsutjsybXyxOk5fGC6GL1JUuK/HVuP7eh8ZMZryuxvtBzm35/bSNsF3by3abvioP369Gqy26q59t2vsCxyiv35FtJ2kKfuW0VmsjDUC+gWubKfXx1dRcUjUbK3nqC6Mk2zf4SdmTYO/HouuVqN+e/tIuJt/H84uYy67/p55u9m8a7WPUifHoGSicJyzI4IM8hMLVN+7bDnnVO5/NKD6nnsOVdF6xabrlUJmgKj6J7BYaQLylFxOA66okgOB0qkKzQMTagOw1qRoXKUsfkWWkCM6tLlMIlAjjnxXh64rpmLGjtUIW9qZSZd3MHY2hAN/jGKjkmNb5wNyWM89Y9+roiMqDFMwshxy6qtHF1Qx5rESXFY2j51GFquQat/SMQMmGPc3PY6uZsDtAcGOJhvxjLE4fz5jU8R0/NIl9+cFWB94hjrNxwjaWTYlWuj1hzHcg1WJE7ztqr9OAhUpNEcZUSLsjTRQbdViYHDithJeixRwErOnkQnRjzkzcARyJpXvMiCSDYski8lx4aSvCq5IVIWnfRlsMpR5Yhc57nS93ljzfNl6CYi8NOyDeJGloLr52SxTvGDuq2kKg5kyPWES/eE+rfOHPdiF0QUUZ0vRb2ZIuuNdjoLSXy6TUtghHrfGPvzLZiazZbxmUwJD6liIKyXOJBr5rXedt7esl9ZfOScAH8+t4ihsSifveAFbFc0Bv2lSh7evBJzxjifmPWysj655+g6Is9Emf3hQyyPn1Hk3pd+uwzdcrn24y8iw55fG5mC/Q81PPnOScy4tI+YnieoW+zfN5npv83w7LdncXPLq4qYHnwzQlWvQ2pZiDozpcar4X6XbKtPFWoFxyQeKNAzzWRyOKN4O/W+FPGNffSPiOJRnmdtgUFeu32YObExtSeG9SJXNe1n33cmsSYyoFBkyzW4fdEWchf4lWeSJCefbyap0GRfjm+sfoS0I5q7kXJUNUx3zHzGQ85FEWSjE/flWBjNeA2frvZuWeiKRlRmPU6gZr2WCKpN2WHSbhA/E+Hnf4vrr5419v+0S24EaSeoqlPLNegtJdQiTzsh1eVbrsFIOcqa6lMcKzQwWI4xWhacBxmeGtAt4l6UhsxrCWricLcckQ80Ykfo9m6unJPKmI8RO0LGDiroU2weYvQhNwnZrUhvCilFtNGwESnegx6qInkassuSlulxI+cRMAWKIwolRxlanZ+iLDk34MUF+DIqKTymC/K27vEu5Fy92pch7QQ9kmnxLR1mqhxWMntTK1PvSzFUjnI036DQmfOLtEOZJvW5pdfQS0MzOFuoJu1leUWNAl2lSh7vnUeqLNCjgG4JFVfHWvaMTSJjB/F7s/NzxSr+5Y2L2Jue5Enr86SdIPedXcLPtl7EUDlGwguKTJXD/Pszm/j9kWUqP6fk+vhT9xLuu/tinh2YJUaVrvj+7316Hff88VJyToBU2XOCztfx+j8t53fbV6muP2lk+fnzF3P8+7MZtcIkjQwZO8iQFSP/wya2PznPU52I7+PJM3No/meDhzsXCEWfpzrRn60k+lCMVDks5NLmKN35BC3PlDnVWasOGV1zGOpKkDjlMGaFSXtFfLN/FN0CzdHUYRg3csQjeVJTdeqD46TKYsR2QeQcqY15fEtHiXgcFR2H1U1nOHGLj+V1HVT6sqowHPO6ctkYJIwcKxOnKX51jPdtfAVDmxhR3LryJWZ87SDXVu/2OBERmvyjXPuJF/nkRc8KCb8XwHvL5Fd5/4eeYU6kW6E204N9PHzxT7hyzgEMXIUWzgz18q2ND7I4dlYhtAXH5NZJW3nHpH2AOAAHyxVk7CDX1O1heey0Ur1knQCN/lGWVnSodSX3AxHNo78FZZPeW+Me+TamF9SoVl7iPQtH4DE7zJFCE7XmuPodMb1A2gkpRFGODM/3Eiu4/rcUMSBdun2qqLDRveLLUIhnynsv8t/W+1L0W3FSdug80remPiugrCpAcHJeT09DBp9Ku42BUgV70y2icfDWUMH1c/epNRzNCid0+Vy/OjaVH+y6iO5ipTrM5QEuX7/g+ogZBbaOTOPen17K/b3LMD25fJ05xtMvLeK1nyzFcg06SoK431uK03HXTO57dP1bEPInjs6j+isGfz69UB22pmaTf7aWxj/7VTaZgSNMRXc6WCcqkLJ3U7MJ+i0cE8qO2IeD8vucXWZslkPcyCuV2tqqE5z8sMGcRWfVSKzFN8LGZYcY+FqZjXXHSdkR4fisW1z63m3Mv30fyyKn6bfipO0QM0O9XPWFF/nUhucU0R/gvY3b+eCtT7Gu6gQ5x0/SyDDuhLixZSdfWvis8keSnkjva9nOZVUTDUfay2W8rkb4CsmRvwQC6syUamINz0JCeD056vsEwaHr9YrygmuqgGo5xpN/Jtfm+SHXUtyja65Y33ZEBZlLEY5YzxNrOe0JSoLahHXI3+L6L18ITcgbdTVrBoEGgQj6FEhH0YN4bUGe8zb1mF6gwRyl4Jh0lKqVSZ0ItHSIG1l6rQSnCrWis/KC6JJGlmO5ek4W6hSyE/GKhePZevqtiv/OJK+C3eMtnC1Uq5lyhZ5n21g7zwzO9hj3IuE4ZwcUvCgPVV1zGC1HuOf0cjry1YpPZOByONPIv765ieOFBmJ6QXWNvzuznHsOrSAlvX20MmcL1fzsxYv4+el1BLzNJGVHeH24nd8/dCG7x1up9glX55FyhB8/dxn3PLmJfiuuvvOzhSo2/2wN3995sVDT6BZ95Tj3H13Mzn9azNP9c4gbWTUie/C+9ez51XwVHFlwTA5lmkh9u4U/vbRKPcQGDn/euxjfNyrZOjhNyVZzjp/8n+o583i7Uj6Yms2rA1OY9iuL1zvbiBs55csyejRJ83MuZ3LVao1YrkHVAXBPi41rzI7guBrjhSDBEYdMSciqpW+QHXZwTHFgzAz1KB7B8FyNmqYxRVYM6hYzFpyj5xJhypl2xJir2T9C//vztGzsUBwOA4d3T9nDwJ0lLm06Qo3HmTI1m3nvP8jqz+4g6csyWI6RdQJcUnWI2f94gE8teVFtoAYOn1jzAmvveIM1FccVByrpy3DtB1/iMxufocrIEPFSw69qOsjN73qG9tAgSZ9wEx+zw/xo2f383aynVXBwzgmwOHqWb6x8lDUVxyk6Ai3TNUfFS8jRRGepipzj5xOTXxKp86VKpgb61Fh1RrifgXIFMW8NSwJ6nZnyrCKE9DjrBIRCEZERVXRMxuwwx61aav1pqn2iqJCyYTmyAaEAHSpXvKUZkYViWC+i4zBSjip0JFUWyrFV4RP0lhKqUZJ5f7LIq/RlPdRVbOQOuiKxyntYcP1esSnGRl2lqrdYQcixlPxMMBEiPOQVaueKVeq7ARgtR9ieaqe3lABEESH8vYRRZtoJqcBKqU40cFQjZbkGm7tnc/djl3hotkt3sdIbbVk0mqOIoGThwP1ozwJ2f3MRfzyzBMcV6GnBMXnkgTUc/t5c8QwgmsztqXbi34vy+gtzVfNjuT5eOTCDaf9isX14Mgkjq5oXEXQbJmHklIpotBgmPOQwWgjRZyU4VagRe3VjgWyTeMaTvgxxX46mwCjn3gahBaMqGyugW3xswcsc+2yYS1uO4vfQyrBeZNl79lH7+dM0+0e9vU9nacUZFvzdXj5x1ebz3NUD3Dx1Gx/41GYWxs8BYhSuaw5fXf8Yn73waYE0n0eB+OqKJ7mydr/aiw8Vm1hU0cHt01+gNTCkrAQMHOaEu5kb6RGoml5W+2XUKCizVVmIjpQFWbzaN87a8HFeSc2gu1SpipTekjCfNTXbK5Zdsk6AmJ5XoyhAjUHlJQtlyTmUSLYsXEbsqEIQw3oJ3UPb5LlZ8gp7HYeuUhIDl5LrUyKCoXKM3lLcW/uWd/5qHMo2sW2kXVE4Js4+V01U5D7cW0pw18tX87e8/ssXQikv7fZXB1bz7wdWKRgYBNn0nqc28bvDy7yMmzIpO8SZfDX33beJP51ZNIFq6GUe757Hn391Ic8MzvYInDppJ8Tvdqzi+V+v5HS+RnB57CBdpSQvPLiUR+9dqwqtfivOq2NTOfCv83hg6wpVReecAA+dXMC570xn73Cz9+C49JXj7Hl2FuM/nMSJvPDgkAGvcqwW0C3FeXpjpI2qb4d4cs/88zpXjZf2zmLqL2y2DbWRdkQ2VaocpvRCNdWPiNwYgUAVGbYiNL/gMrK/Rs1rC66Pk/3VVB51yNsm/R4Zt9pMY+Q1gkOaZ2QnRihRo0g5qGGY8r0Ke/26RJrUFIPqYJZaX1p12IV5eYYXigNfIkuNwTHOXguT5/UoTkuNb5y1M09w6had9TUnvAJCwLF1HzjLnHccVdyhmJHn2uY92P9tlPfO2Cmk1d6G//6LX6b5iydYVNEhgiP1PHXmOO+74ym++67fq5l+ULd4V+seVnz2Td7Xsp2+sjgcm/0jfGbTM3zqhsep9qWVAqk+kOLWd27m76ZvVoZiBcfk8tpD3LH6KaaH+ghqFqPlCDGjwO1zt3Btwx4cV1giBHWR2fOFmc/RYI55nC6Bvi2Pn/H4IWXlIVJyfSyLnSLsWT6M2BF0zaXGl2ZKUHB1pK9V1gnQGhjC1GxOF2vpKVXSGhhiarCPUStCzhaeMYD6efH/xSg05qWB95fjHhm6rLgW1WZaccgkz07eG3l/TpdqlZme3Mxtd0JmXnBFkVNnpjyTPF2tS4F4FLzPmfcMDEsYHlJhajYxI0/J9THqfQaZwG3giM7VMQlqJe/gEKIIxeXSHOK+HCk7xM8HNmK5BjOCvWrTfmN8Cs8NzlbFrthXQvzmyAqeH5nNkBVTz+z9XUv59tYrOVuoJm5kiRtZwnqRn26+lH/acZkqyKp8GR7vns99P7iUV8emKeQB4A+/vZgn71nzFoXQ1sFpnPviNO7ZvVLlWiV9GcJ6UblHpzwu2flmoPK51jWH/rNJmreUOJ6to+iYTAkOMDvYzYl8HSeLdYIraGQI6haVgRypNh8NsbT3u8NYrg/f0lF61+IZNYpnak60h46POrStPKf2HF1zuG7pTnL/mOWSuiMKcQGUvUXaFhlolmtwfdObrLhjB++etIecE6DWTKPj8I0lj/H59z7E9GDfhNmiXuKrGx7jthlbsBGhvEXHpM6X4vPLnmVOuJu+clwVrxdXHmR98gQFbw/J2KKJnR/t9IpEn1fUifstkf6Ip46S61yuK1056U8UGLIYkwV52gmRdQJqDB7ULYUYSnNL8e9E01bvS9FVqlRjJnk+pewIZ61q2kJDtPiHVeG3MnKC6f5+nh2aTcYOqnVVcP0UXFON7Q/lmtR9EqIOje5SJa+NTlUNMICDzvbRNh7oXKR4pADnStX8676N/PrYSjGS9VScxwsNPPyntfzy+GocV6PZP4Ljavzh6FJe+MFqNg/MUc+Pjc6WpxYx9IM2juQaVAGtaw4xj2MoJwh15jiDpRiTNv//ecTG/9OuGjPNiFND9HVRIVvzDEWeHSxFqd7rMmxF6JhVrQ6Kc5lKkkdtemYLD5G0I1xhU/kgsX4xRuouVSq+h+a3AXEIyHTjoG5RqHEwihMLO6yXaA6OsX2mhl6bV91syg4zu66PvWunsr5iSEnnA7pF1co+OidXstGUGVghDA/aHClHSZXDCm6+INHFo1+s5KLGk8qh1NRs3rVsJ69PbuPdDfuJ6QWGbeHSuuT6/eRtEZUB0G/FmR/twviKy3KjqKSbBi63zH2NoRlCFSeh76JjcstVz6pRBoiipykwyvtueYZGj2OQskM0+0e4tnkP4Zu2E9RKHC02qMDKOxdtPq+TFAdfpU/keRneiCqgWfRYlVwQ6+LKlfsoOCa9HsExrJe4sna/6ijCepGRcpSAbnHLpFeUSjDnBNBtl2ozTXNSOPn2e/lU1b5xqnwZBssVQo6uWRzP1xM2SswO9yg+llSlnU/WtNEwdEcd1t3nScIHyzHFu5Ku4JW+rHLuHi1HaPUP0WNVKm8fiWxYjq5k44BSfDmuTrN/hK5SkrDudW9aUSFkwvFWdNHVXsFpOYaHelrUB3s5XarhTLEGU7Op9Y+Ts0Xsg7zk2DTmbajj3lj4fKUYoNbZUFkYMiaMnBf1UaKrlCTn+Gkwx3A8j58RK8KuVCvzY91qJGOjcyDdzGAxypW1+/FrZUYtMYr9yfENLG08x8bEEU967OMPHcvoO1vFJ9a+QNLIkvOM//6weT1aa47PLXjee96K/PzUOtxHq5j+waMkKwV3oeiYPPD7DSKI+IOPqrX3ePd8/N+u5MVbXL61pEtxNl5/dAG1uy1OfbuXmaEehsoVHEw3MunHPl67cTqXbDyI4XE7Og/W0/6kRW6pnyn+AX7Rv4GW0Cg1u12GFwQUCVUKA4yiS8H2vWXEmG210cqa6sRrfOPMT3Tz6NXNLJ9+zHPDdtVoXHqMSfm9GLkFFdqScwKYts0dG57k9YVTWFTRganZ+LUy3VaSkCGKp3nBLp5OzWNycIgrag5Q+OjRt3jNmFqZ7859iG1tU0l4Lt82GlGjwN8veoKhcsVbkMmWwDDzJ3cyUo4yVK4g6csIB2E7oopXOcYM6yWmhfoVaTvpyyiUy9TKFDw1rTQGlLJ2A0chNDLcVkR9iFGzlMLLSwo2cqqoKqoDe6I4ESMn26MkyLWUc4TDe0tgRPnlSH6g5HmK9xETeYfeHgpChZoqh4UHmTmu7B1SdoiT2VrMmE22HMAO6ET0IufyVWw+N5uLJh0D8Ph/BvecXUn/uSS3rX2Wel+K5ZVnCOtFfvDY1Vhxmzs3PKEKlr3pZo7/22wGLinxmcVb1Hv548FlTL5b47EvV/KJtq0YriB+H31yOjV7Spz8b7UsiwkPMNvVqX4iSCERZmRalGb/MH7NZn+qiarDZTrbI1jTfd735iMcLJGv1agOZpTHkamVqVgySGddJetMkScW9JRqUggiL11zmBvpouNzQXj2fzzP/7Ou/1eoxkJRH3syLSpIUhJyq31pDucaqfAVVIAdiAfiRL5OWJC7OjGPXyNVHYbHh5DEYSlBlpENckaf9EL1TM1+ixtpQLeU4iOolf+HB1Jat4v3UlYHoCw4zhRraPCPKS+W0XJE8QrO95rIOX5qPJKaLAwkTD6BvohsrWpfWhEhg1pJ+V1M5MtMJBLL+fvEz1uKdyJ/t3SUliaWUlEFE7LuSeaIp9YQaip5T0bsiCoedM3FQHjAVPqySqklDwH5d5IcCROwq+X6FJFTfg7JvYjpeeXHkzTEAZkwcso8TPIUAOK+CSQj7QRJGDmlYpMIg0Q5pCu3qdnEjawKdZSOqfIeyXWTKoeVj5MkFwpS/ETA6PnfmUg8F/c07QTpLIiDTObLxYw8/VacLQMzWJw8x+TgEFVGhtOlGrYOTSdTCnB5wyHiRg5dczmca+TRHYuYM6uTVcnTmJ4v1u/OLCe1v4oPX/U8UwP9ZB0/p4p1/Pmh9RTbC3xl2VNq3f7LiU0YD1Qx9aNH2ZA8hkyIv/dXF4MOH/nIk+q5+MO55QS/GefUxzX+fsmTYh05Jv/2m7dTvb/Eort2My/SxUg5yt50Mz13TuXUewx+ceE9pJ0Qr6en8uiW5bRuLtFy13EWxc7R6h9ky/hsdvzzEobnaXzqmqcUOfQnxzcQvD9Bza3CU8dyDS4IdnDLbz6FFXP5/JWPKbRwV2Yyzz+3kJmrz3Bj/XYVnXF/z1JO91Rz+6ItxI0sKY8f80j3AlbWnmF6sA/Tk1L3lCo5k69mTrRbPcNhvci5YhXVZkZlHcqRgbzHcl3INS87b8k1K7jmWwjHUsEm11HRMVkePsXu/GR6S3GmBAcUqibtG8J6SfnfyCiYfiuucq/qfSlOF2spuj5a/MPn8RV9qjiQz3eNL63GrlIdKfevgutTTUHaCSkuyPmKzfNVlVLddr7AQ64tSQ6Xe0fGDtJgjqqiByYsJeT4RjZEdWaK44V64kae9sAAb2bbSPqynjt3mLOFKrX3S/PM0XKEVwensK7mJHVmSn32l4an0zmW4KapbyhCeKoc5revrCXaPM7Hpr+q1I6P9C5g+NFmWt51mktrDikF2g+evoKq/RprPy08dhxX42i+gTe/vZiRGQYfvfEpj3eV5zdnV5K4M8DRT4W5c/VTVOgiNui7D7yDujdtpt15mEUVHaL5Lkd45BcbKEfgAzc9Q41PZI0dyTaw47cLKWxIc8us1xQ6/PjAAo680s6GS/ayuuIEBVcISl4YmsnR/lpunfOKanZtdLaNTcHUbVbGT6nCVajHGpke7FP7tbQrkGtenkXyTMk5AXqtBHO8PEZ5r+NG9i1nYdQokE3bfGHpa/+fauyvdeWdACFs5kaEp4GEziWMOTvc4x34AVWoWMDMUC8y2Vh6mhi4KqZDKiF6SpWq8o/peU4V67xDXIwFJCN/wKpQfA+5wQS1Mmk7qJxkJdvf1GzSbtBbRGX1s1IFId2kA7qliNhyNCFRBOO8rjHojSrk69aZKeGkinA5lZ2T4+o4mo6hO/jPy0QClCpIbgJytiulqQAxIy8ceD30JunLkPRlOFOsUTJ8WVAAys9GjEZ8YnTiZYBJKWrGDlLtG1ceMGk7pIJqhYuvgGV7SoIL0mslBKHRyGPZPs4Ua733ViDoFRs52+TN8cnMjvZ4LtkuBVdnV3Yy5/JJViZOiSLKl2PIivGHjmW0VYywJN5B1ChguzpHsg28dGYaN8zcpVRAuubwnSOXUC4bfHL2VlJ2hKQvw9axGbz+3FzmrD/JuqoTKpfoe29cSvCsn3e841Uaw2Ok7SBnC9U8+2+rGV5pccfKzYrcKMjvecU5kAXmY88txzVdvvS2x7AQnIYHz11A8utBHvhcFV9b9AQdpWpMzabjyTaqD1ic/mY1C6PncFyNs5kqWh9zOeRvYn31cXWfhjoTNO5xGLosytRAPy3mCG+kpxI/5TASnLAWcNDx+2xsoOQYKpU8ahRIt08gR46r4+CwqLqTJ6+qZ/WUQ2rUkTQy1F7axbmFSa4NDjPZHOJkoY7m4BidXxlmYSDHL3vXo2sub6s+QO1laXauaGVJhXAgPlmsZ1qon/idrxA38rT6BzmYn0RQt/jYtFcofFUUu71WpbfWQ1z7zldo8Au/LdNTqMyJdDP/mk5sdMa9+Ii0E+S9TdvRmxwPRRD3I64XuX7Sm96zEaDGV6TTihP35VgbPyYEGF4hZKMzOTgkRqCeUsavlZUJpDzIVQSNJnKopB+OLIAV4VjPU9RMZLZewsjRY1cybAvOU1Ng1PMRMxVnznJ8RLwDUt4PMYpIqSJjsCwy8RQKoxo8MR5vNkcZLFfQW0qow12ulwlUZcIuImX7lBJVFjmG7np8MnE/dM2n0FFZ2OiaQ8BDQvemW9g90MTVLQe9++XQVarinsPL8fkcPjP7RaVAPZar45VHFzJp0zmubthHk2+U49Tzk5cupuK4wTs+/JK6p/1WBW/8eAmZFo2P3/AkBdskqFn8+fgiJv1Q57E75/Kxqa96SsUYHY+0U3nUoveuBC2BYeEJZ0Voecqhf0klzjTdC7Yuki35iZ8tM5CNEqvL02tVEjdyuEmLfM1E/BBAU2CURy92CCYF4i8R4SuaDvGbz69k9ZSTJAxhPOq4Oldf8QadmypZVNFBTM+L0GVfjhs+/pwaP9quLrikwQAzPv60OitEIG6Qa+t2Yb1TCAhSdkSpDK+q3cdVtcKyw3Z1Uo5A7q6s2kfBNSeeV59Qsq2LHRV8QDug7qmU7kvivxzjpp0QCSPH4VyYHl8l9T6hNJU8QcfVCRtFlU9XPm9E+Le4/ssXQn7douBOmNFV+rLqUJcPu1g8E1+8zHKSrp8Tsm3xkEsjLvkAg+hUco6fSm9jk949XaWkspc/HzmIePBszvGT9H6HrjkqEy2sl1TRlvWkpWG9BJqtQj7FZ7BpCwzSYyWQIYSyQFAjGdekv5RgelA4qXYUqzH1slKvyXmynKkfL9RTdnSmhfpJOxMd2q5UK+3hIWr946qoOVWoZfvgZK5p2quKLhudZwZnM5CN8u7W3TSYY4CAjH+5bw3zJvXwttoDgEA6nhmcw6E9k7lm7Q5mhPsEYdMx+em+9biDAT598dPK2+RYrp6tf1lMcN0QH2zfhu0Vd7/avYbEdj+z33+EdZXHPWK8n0d/vp5sE9x09RYCuuiq7zu7hPj3o+z8dAtfmP2c18mEeOSBNVQfLDP5G8MkfVmSRp79xWbC/5xg94ZaFl57ThSTGjx7cA4zfpzn5e9O5T3NO9Wa8j+RIFiGgWkijDZthziVqqbpFYuzC5JcUm2pe2KM+Ih2uZi6rcZuAOWQpkzRpBeUDO01NZugUha5mFPTBMyyMHfzeDHrG07ywEeXcPnUAx5PQXRnU648RceaSi5JHKLHquRsoYoN1cfY8mWNS0IpDFxsNBJGjm9tepAjKxtZGO4g7QQZs8Msjp6l9Y5hRUQO60XGnDAfb9vKyJeiSjkl/EP8/PiKezhWaFQbbUQvMiU4yFeueZCEkaPPimNhkLIjXN/0JkaTOKQKrkncJ3gkcX+Bd9btVmjISDlKtS/NO2r3eBEfQomiay5tgUHSdohOq0r5t+iai+OIgk2qLg8Umpka7PdMI/30WgkvksBRNg5y9Bs3cgS9wh7wpNNlLAy14QOMOwIBPl6opyUwrJSeEb2o9gnbk8kbOPSUKqk2BRledx2lQjsfjZXPo3xdOf6S6tcafZyD+WaqzTTVZlrJ7GN6nq5SFaZeRkeMaIeIMWaHOZ2vYXJwWCEwuuayJ91M3jZZWtEhchLdIEfzjTzXPZMLarpZHT9BwTXp8QrJpC+rinPDQzB/s2UDem2Bzyx4EUAhaSN/biZ5XRfvbtyF7TV6XaWkQlNtNOK+nNoLzlcshfUiW7bNY+r9OfZ8ZxINtWMEPWPQ6ofD5Kt1CrNMHEf83rPpKhpfL3BmXhIa4JyVpMEcw/W5mBlBgWjwi0T4oi/L2Eywqi3PukJ8F+taT/LsTXO5quEwBo43Yswx611H6UwnqDPHlR3I3Eg35W8YLP3vRsrvbd3J0LeiNPlHBf/IFUjvl5dvJrfUrz6jmAwU+Mb6h1V+XME1SRg5Iv4iH73gVWSmo/TbavCnmBbqfwuaOFqOiILWK24B6n1jbE+3My00oJTSE15RfsVF0jUHzuO+2eiKfyr98HTNYcSKKkSp4JjomsvpYp2gFXjrWJ6dY4Rp9g9zslBP2CgKyxaPH9UeGiRnB7B9OkGt7Akx/AogkOjogDURwv63uP7Lk6WDmkXOFiZ4R3INnirLVuTUc8UqtqfavS5IPJhyoeacANVmWsk8dc3lwd5FHMw2kbOFksbUBXlVEuyEoitHbynBMyNzuOfoCiE911yPT+HnvrNL+Ls91yhymJQS/ssrl/DwuQUUvM6v1T/EU4Pz+MmfruKV4WmK9FZtpvnZ/nX8+o+XcapQo8JPc46fHz50NT978lJVSFmujzdTk3nu+2v4b7uvFGiKKeS+P9+7jhf/YTUvDMwEYJI5QsoO8dR9q3j1R8s5V6zCwCVh5Ng20s7g37dx/6srFRJko/PnvYsJ/EMFD3Qu8kwJxQPWc/9kAr9OYjkTtfauVAtTfuZyeFu7mmMbOBw41cyUP+U5ONZIxg5S7xOBjJGdIar2amK27v3sQDFK/JTNUF+FQr10HHyBMq6ukTDzSp1nuQbZRijVCSNLWdgurTtHz+og7VXDFByTkmtQ50tRva6Xzitdkp53ke3qTA0P0H1rianrzlLnSwmvEK3EJXMPMfCNMlc1HKBCz5OzAySMHDNvPsLCT+xVxEZdc7ipZRtt3zzK+9p3kvCIopZr8KnLn+Zdn31eoYZJI0NTYJQP3voUn1v+HCAOMd2Lh5DOwZL3YKPxD/Oe5M5ZmwGURLXBn+Jb6x5icfSspwQS3KHLag5y24wt9FiVYjQZHMFxdTZVH2VqWMSCWI6PtB2kxhhnSeQMWceP7tlMyO4tYeQUCiCDTEGa15XVZiwSyEPkbNGIyIKg4Km/zg/nzdhBhboeLjSJrD5fmvc3bEMq0QoecjLiOW3bCJRMjoaynmne+XYQfjnG9Q4eGWY8Uo4KUq5vXPy3xyOr8aU9A0BXoQeioHKIGgUmmSPeeCzMkXyjInwOWTHSTpDFkTOK5C33n7QT5HCukd5SgpQdpt4cw9TL9JYSPNa/gFRZGJ3Kw+nBnkXce24pGTtIqhxmU+Q4p/M1/PDJK3lqYB4xQyS795XjvDowhV/85W2eNFwQ2E8V6/jj/Rfy0+0bcVxxsJl6md+cWMn+v7+Ax3rmez5aYs/Y8duFHP/J7Le8710jLVR9I8Dze2ej4zBkxc4zKZwwdDW1MgXHpHY7BPYLtCnmCUnylkl40CFdFKqpoC5Qa8lFk3SBoCa4JEGFJom1HTMKbFhxkNOf0VmY6MSvlYkZeRrMMRo/dZIL3n9AjeB0zeXK+gPM/O4hbpn7miKL65rLHeue5LrPPcuSqLg3BVc0xJ+4ejOfW/WsQi2KjsmsSC/fWP8w7aFBRcQHWJ04xS2TX1Xh1gkjR5M5QsQoepyhiWIooFu0BQYVAnO+vBxQI1N5jdhRpEGr3ONBeO9YrsG50oS6VRbS5zfVcj+Wa3/EjrA7P5nZ4R7hC+Saahw/IaLRFVFborsSjZH3RCJ0Ui0t34McFx7L1XOmWON9Jg3L9dFbivN473wGPb6YUAZm2TE6me+9ehmpcphG/6j699/fcQk/feVCQJDDRRGf5Kn7VvG3vP7LF0LywfvF7rUc+sZ8Do83eH/uY6Qc5dHHVnHyH2dzJNugDil5mKe9sVNYL1HnS/Hq2FScf6zlhYeWqmT3idcRi8PwDohqM82ru2bRepfDgVSj4k0YuFjPVtPw2wDdxUqFLp3JVdPyBIzvqVJEvIJrcnq4iknP5zjaW6sq+5zjxx4OUHWkTE8+rsiCpmbjT2kEhzXFSYkZeZL+LHYAHFtTnkNhvUginiXd5KM1OkJQE7ybZv8I2dlFRudAgz9F0pch6wSYFhvk9PU6LTP6lWcJwNqZJzjxcR8b6k+85SGqve4c2scGiPtyymtiVeUpSl8b47KL3lQhrwAfXPw6Fd/t5sr6A7QHBpQnzbUfeolVn97pZUj5GLajbEoe5eJ/eIVPr9ii1DAjdpQ7LniG93/8aWaE+1RHU+1Lc+e7H+QLq5/2RnAip2tD/Ahfft+feVvNASZM5QLc1LKNT6zc4pkpip9NGln+8YJHubpuH2knxIgdJe2EWFlxis/PeN4rksUaGylHuSh5mHXx42pjydhiI1xUIcZqPValul8Jz4tK5rz1egXKtEAfUkkl7RqkA26vlfBm7mIz7rSSjJSjnipqQnkkXVslJwyEgZkcR8qRC3De3wuPKV1zGXPCjHvvXbphSwJq1hsjy9eZCFYMKfVTWC9xoDCJFv+w51lSUojqUDnmFe85pWaRa1vK2wO6yIDrK8c9fktRWRKYms25YpUqjmXi+bliFb1WQvFKqowMXaUkLw1PVxs2CPPN10fb+fXp1XR7YwsDlzPFGv5hx9VsGZhBhZ5X8uSfnVnPvz15OYdzjZS87ypVDvHwn9fyvTcuFbJlz7xwzI6ocZGp2QzbIs/v5buX8vhv1pK2g5wo1pM0srzcP5XyF6v51d7VxI28iLpxQvQ+2YL/h0nl1r2z0MKYFaLt0TwHd7SLteGhBOd6k9S/YXE2V6Weax0XvQSUNY/IKwxeGyrGGZ1p0hwdE6R21y++u3UZBi4tIfOsTM1maVUHHV+CDQuOAsJuxEYj5Tmgy+/Mcn00+MfY+KXXeed7tqr35tfKXD9pF5u+9io3t72uHKAjepGcLbh5cmQ/Uo56ye2WKljjRp4eK8Gq+Ek+f8FzTA32M1KO0lUS+PnVNXtZXnFa7fGyMFtTIUJ6hfWEsAMRitM0BVeM9KXRqrxPMl5IolwV0ii1HFZISp05Rk+pUhVYI+Uor6Wnszp2gmmBPs4Ua9QoUXrO6ZqrnsmiV8A4rvhduubQW0qoAslxdYXyyzUv/d8aPNGJHJsNlWPKMgKECm93ppVD+WZgAslJO0Hu617GoWyTag7CepGD2Sa+95poos9vGn5/ahn/8uiV9JbiqnDKOX7ufuwS/vCXC5WS1tTKnMjXsesHC/nz02u8Man4Hc+dnYH+9SQ/O7pOxJk4JgXXz+E3JzP1dxY7R1speWPUhJkjfCRA/Ss63cUEU4P9GJor9se/7WTs/x1k6coKl1+cWcv4y3XMueIYm5JHiRkiG+ieoyuwT0Z5x2XbRAZWOYqhOYqELEcTkpPy4x2bqKsf472tO4GJMZksAs6fm+8eb2V7TysfmfGacp1OGlm2jk2nP1fB5fUHFfE2VQ5zKN1AW2SYWaEeBssxkoYwX9yTamFJvEOZWMl/czxXz/Rwn0J/JIlQko5hwkBLdg6SyV/jGyfr+Xmcn35d40urcFHAS80eV7PkpJFRjrYS2TifDCcf7IjnNSEfVrHxWaoDkQQ92Y1E9CIl16d+z5BXlAm/iirivpx6rYSRI+sE1IgJRFFRcn0KAZCE5ahRUM7V5xO5h+2ouicgikgZk3A+n0rypM7vDs9Xi8h4jLQdVI6rsngcsmI0euOxOnOMk4V6gfQFhtR3LDbLEudK1dSa4+r9D5ZjTDJHVD7XmWINDeaYIqXL7x8mUqhrfeN0lqpo9Q8yWK7gcK6ReZGuCYWSty7P57YByiwzZhTe4pDeW0owPdinELa+cpxjuXoCepl54U6GyhVClWQHeGFgButqTqoYC4BXRqdxbKiWG6fsVDEM/Vace3atYk57N++o2+OhQA73di6jb1c9V126nabAGElfhpOFOh65by252QW+vvwx5cD8g/0XUvNQmKbPnGBT8ig2OkNWjId/tQHNhRtvfcbjfjn84sxa4l8NcurzJl9c+Kzi4/zLr66l6pDF6n96Q0XgvDI6lbEvNnPq3SE+fenTJI0MKTvCD1+8jPYHLWq/dYYNyWMCxcw18+rPlzK8pMxta557y/creTXnE3x//voGtIDDZ5c+T8wQXi8vpWax+c35bFh4hIsqD9Pj8du2paZwcKiBD7RtV0iDjc4TA/OZW9HDlKBA72TMw0ApxoxwH9IgtsYnmp0eq1KN6xVXwxtd6prr+Q3l1GFvaraKw5CHrnzGzyd1p52gSGw/bw3J508+N/J7jhkF5couVYoS1RRj9InnT75/SQ4X/DFxH0fKUVr9QySMLD/r2chFVUfE53GCbxFiyOfP1Gw6itXCGsFrcOUzK9ELWaxKbpYYiYq1L2kU5zt1D1kxNbKt0PO8np5K1CgyJTjAuVKVEoWknSCHM43MjvYo80UDl36rgme7Z3L1pAPKMb/omNxzejnpbJDPzX8Bqc47Vajl8SdWULF4iJva3vDWl8MP9l9I9KUIc286xAWxLrV33/3rK/CnXa741Ms0mIL7tivdysk7Z9OzJsBt1z/qoalRfnVsNZO+4XDqy37+buFmNer6p+evovUJm6qvnuVdtbsY94judz9wGeY4XPfBLTSYYxiaw5F8I488sRK7vcBnFz6v1smJfB2P7ruAaxfsZnJwmDpzjIJj8uzIXM6MJ3n3pN3U+4QJalgvcqpYx2ApxpxIt2raArpFKVP6/8jSf82r6JoUHJf3te7Aep9AdyT0bWo2X5j7HPZc6VniU1W5zNwK6CIwUuY6fWHFM4pDIMjLflWIxD0PGzSHdDnMBbFO1s8+6pFmx+kvx0nZYVbFT2EmxGipq5QUVb9/jBk1varDh4nsrAuTRzC1sipyQJCWl8VOU3BMpSCR3AKJ+gxYFSoVWBgKRt4i1ZX8n/MPV5mlNVKOKC6AiAvwTchDvXBZSar0a2VGPKKmTGPvKiWpNceJGQUl+TZ14Z9ytlRNzg6oVHEDkdItOFVVVJsi6fhcqZoGc0xtbCA2uqwWEMWNE1ZRATKzTeYuSd6TgePByS5hb7Qz7oRIlcMi74eJ+XjJKwZBugKbih8lC4+MHcQ0Jojqrf4h5f7s18qk3BAdxWpiRoFG/ygg0ML9uRZARArIHLahcoyDaZFs32COIf1Hto5MI+wrEawov4Un8i+HNnHllIPMC3eS9oIwv3/sIjLZILct2MLpYi1JX4b9+RbueW4Dk+b3Mi/S5SGMJb539GLs7ZVc9q43mB3uIe0E6S5W8sLdKxhdYPOJNS8Q1CzOlGp49Mw8kr+OcubLp7iyeh9B3WLIirHtp0uwA1D7yXF1AD3SOZ/kV/38/ovL+NSClwhqIn7hwBMzqd1dYvSfIkwP9TFmhzmWqaP9jy4nNk0m9fZj1JkpBssxuk7W0vZ8ie71CdpDg9699mFmgTG/MqcM6haJWJ58MkLQsMQIC5uwUSS9LA/DYv2aPqFiWl7bwWM3L2Z9+2GhnrNrqNHHab/6FGfWJmkJDCsC6EVVR/jNPyR4X+ObHiLrp8Y3zmc2PsO+JZOUhD/tBJkSHKTptmcVqiEPcTn20DWX/pIo5g3D4Qtrn6bKyKjYlmw5wPRwH+s2HVMeSlIFtrziNIti51TcgWwi3lX3JjK6Q67ZSl+WqFFQhYdEEmUjJVWd0jU65gV19np8IpnBJWJ9RBEQ9dZ8vxWn2T/ylrUf1kskjSwlT0wgkZjz+ZJBzSLjTsQHjXgN5fRgLx2lavFe9LJSVUqbhpQtrEBiRgFsPOuSoCJmnyzWCfJuzX7RxHlcSTkyclydc0Vh2RA38op71FVK8uZIC+uqTyqETNccHupZSKHs4+qmA8rWYH+mmS2vz2P5smNcmDyixnff3XMJgQNh3vbubUwJDpB1AtT60zxw9yYK1fDdG+/hdKmWtBPk2f7Z8PVqXv7oVD63+HlvPTjc9+Jqpv0xw94fNiuOW87x478vSaWhUZjncclck6FSlPptZc4lkziTdbUP6LqL5oKpOVT7xid8i6aX0QtiVBzULWxXpz00xHM3uUxp6hTPb7mCuJHjxqlv8shd83lP835sb70GtRI3r99Kz4oEs8K99JXjSGXxbdc9Sr8VV4agWSdAW2CQO9/9oIqzcVzBLZwcHOILK54RI7pyFF2roMY3zvL4GS5KHqbk+lQotO4KXp8s3HLetKPRHKXT/f/S5/+ql0+zyXluvudLwKVTqayGBQlW+tCIMUS/FVcPW1AXKIDs9s+f8xYdk1eGp/LRpq2k9RB7sy3MCXd7Lrlikx2xo1iOj6BnTKdLiNYWHVvK82mRXg/SETbsbVa6NtGZSL+Ygmu+BWKWBnEgZrayo5FIUtzIKymr6MxEYSCRL9P7XkzNFmRh77PaimiqM2JHaQkMK8b/YDmm5tU1vjQdxWqSvoyHoPmV0VeNF4WwL9ciDBDNlCowRmxh6Gf6hbldxg4S9IkMtAO5ZuaFu9RrOJrO4VwjAb2swhsDusVQKcr24cmsrDpD0ntgK/Q89/ctI1v2c3X9fjKeQm/MDvPr/auYM6mXt9fuVV3sSyMzeGPXdN62ci8Lox3qPvzg5UvRoxafXLiVqFEgqJV4fngBx/4yg8orenh38y4azVGG7Sg/feVCEod8XP7hV4mF8qTtEIczjRz74Rz6Lrf4+JKXwBFI4q9fW0f7X2z2/DeX1ZUnhZ19MUHvj6eSadCZ85FeKn1ZbFfnkTPzmfytMk98dS4XzD8nXI1dnfJLVdSfKtM7K8HckEB/TuVqaH3K4kywnpEGod4o4CfdH2XS4TKDpShWSHzmqFHEimpguKqwqTbTtFaOcmZeggVBUVQPexlDQ6st0FCdelCzeGfLXn5+y0aumr7nvAwri8VXH+TU+moa/BN2/kviHez9ls0MX0kd3GG9xMfWbeHkklpWx0+QtoUZ3eTgEDd87DlFlJeF+g2tu0jenkHHUVL2oFbma0sfFyaL3kgvZUWYFurnK5senUD4HDFivazmIOG6ovdeJ3x9PjL5NYVQjtlhOq0kdb4UGxNHlN2CLLCliaNUb8nRXtLIUOtLcyJfp0wlc46fhDFhHyFHM+NO6LzxXoCcK5CXpJEhbQeVH5DYsyay9iYEHzYOGg4TUv2CZy6YsiNqpChlySPlKI3mqCqQCpjq/cW9aJuc46fdP8CZYg0ycxBgbqiTbZlphPWSyviy0cAVRptFx0etf1whsSPlKG+MtjE/3u05mQue23PDU+nLxnhnyx7iRl4Vcr/as5p4IsfVkw/Q5B8lpuf5fdcK+l5oZsXb958nF4/y88cvxUxrvP3dryrS8dax6XTcNZNzV8Cd658ABBr3x20rmf7bAq//k8PVdfvEiK8cIfPbJnwFh/g3ctT7xtiTm8yJVA3tjxR5s77FQ//EOMkZCZA4aVN0fOq8COslSnEoRx1Ol2pVIbso2ckjlzTT3tilkLga3ziLl55gZ6yND1b0AAIljxs52j55jILtUz5QBi7rE8eovSvNFWZaff82Op+c8zLMESPpETuqng35eeU6lwjfV5Y+hQzaNTWxv1abaT7S/pqSx6c81LnZP0KLf0ihUkPlCmw0pgX61e8zNAfLEYKRGt84r6Wn0xIYFs+FYytfMQddGfKOeRxCibZL5K3omBQxFbctqFnUB1L0lePkJvq/v8n1X54jJDk/0k1UOv46rs6gp8IRo6KJUDjLNThdFNEYrYEhxVkxNeGGKoqFsuc/IyTu8+Pdyoyv0pcjbYdEDo/noFt0hBJG8ilGyxHSTpBKU+QYJQ2BJkmnVTkr92tlzhWTyk5fblgj5Sh7Mi2qW8rYQep8KYasKFtGZioiXMERPJMtQzM5nGsUD7UHQXaXKvn5ibWMlCNqph7WS7w2OpWfHVlLVymp5Pmpcpjvv3kx93csUQ93wTE5k6/hp49fzgtDMxVXQtdc/u3Yen7+4OWqwAOBUP35/g3865ZLKbhiAzY0h61D09n8z+v4ybH1NJijyn/kZ1suYsd3l7An00pMFwq4tB1k+/eW8MRfRPRGkyls8/+wfxn2P9TwQt8MYoYwqzxWaKDz3nbyP22ktxSn0RzFdnVeGprB1J/YHNo12UOlxHR424FpTLs3z3g5oPgsBddHcq9BZK9QPUS8g2W8FKSi02YkJzaYwXKF+F5MB1d7K++mNpBmdJZOQ/0oNb60ul9zZnXS8TaThmBKqTEqfVlG3p0lenkfDeaoKlyvmnyQs1/1cfXUA14eT46wXmTNe3bTcsdxmv0jdJSqsdHZmDhCyz8e5+a1WwUPxxuHfmL1FjZ+8zUuTR4CBC8h7svxrve9xG2rnlNdf9LIcF39Tj73gYdYHjstrCU8/sQ3Vj/Ct1Y/jO155mQdIQ749oV/YUa4T3EISq6P5fEz3Nz6OjEj77lRi0N8efwMy2KC35G2Q/i1MpW+LEsrzqjAR8mpEHyRrBqV+L0YHKGk9HvNgViPOSfg/bmIw7Fcgyn+ATX66ShVq9FG2gmqIsr+n2yDY57rrhhPRzG0CaKwLPZGylFkqHDaCRLwjDbTTohzVhVzwiJ5XSBkJdJ2UHXgslgoeohPzJOYx42sGuVKR23x2fzqOxCGdGLdpuww+7OTvN9ZVj4uTw/PY3+m2Rvplmn2j4jn/cBa9ucmCW6Od0Ddc3olP39jA2knqEb7x4oNPPbIKv7t0DrV9HWWqtg21MYj39/E88OzmOwf8kZOIR787QaevGcNAyVBkq0yMmwdnEbhzjr+uGs5MKF8O/7sFPy/SNJXjHvfn8be9CQm/14jt7+SJr+I+yi5PnpG49TtLHI2k1TF54xgD0ZBQ7MhbJQUIb0hOM7gBT4qG1P4tTJDVoykL8PK+Sc48d4Qsyr6AIFYNZhjJD7Yif+jfSR9GTpKwkn/mqa9VP7jOW6d94riteWcAJ/d+DSXfPUVZbcCwuTwQzc8w2cvf5KEkVMO1LNCPXzpXQ9zRf0BtQfvyU3moqojfGPNIyR9WcVjBNiQPMY763YrpWLSl8F2deaEulRjG9GL5/mjCU6dtHuZGMcKJE9ycCTiJ+Muco5fuVun7BA2OtP9fRQck65SUv07Yc8RUZFOJ4p1as+X1AyAE8V6JgeHFBdKXvL7kWNCee6OlCOKsC3yzsboLcU5V6xCGseOey79hzON/8Mz+Z95/ZcvhPxambiRp7cU50dHN9FdFAFyorMvc7xQzw93XsTebIsiKQP8qXMxP9+7TpHUZBf2r/s28uvDq0jZYdWFnStW8aetq/jB4QsVOdZyDV4ancEf77+Q+3uWKmJoxg7y44Mb+ONvLqazkPS6cI1eK8Hv7ruYvzy+hqJjqpyap4fn8tp3lvODVy4lahSoNccpuCa/ObiS438/h790LlSKt5Qd4ZGH1tDzz1M5W6hSxVevlWDsBy28+IdlWK6PZv8wlutjc9dsar/m489vLlUbtOUa7Hh9Js0/9PHi4HRFIBy2ItQ/6SeztXZi1KXZ7BtupPWJPAd7GhT3CCDXUUH1PoeeQkLxbzLlAP40+NI60ieo5PrwaQ5WWCMSKKnCJKIXibemGJ+sU+HLY2hCvVZ0fQwsB2dhmqBWps+KE9AtLp95mFO36KypPcVIOUrCyBIzCoTe0U/5w8M0+FOUvLHBuqoTaHcNc836HaTtoDKx+8DK16j6ficXVR5WxNyYXuDKT7zMDTe9QLVvXM22r6rfz4qv7uAT018mqJUUx+Crq5/gw7c+qeBzyzWYEhzgs9c/wvtbtgOo9feOuj3cdvlmFkTOKR5GTC9w57zN3NYu+AJyNNLgH+Nr859gSnAAy8v7KbgmcyLdbKw8Slgvqo4+7YTYmDjC9GCvIiYXPMKokPQHvbGf4P4EPbQ07QRp9g8rlYrlGp7bsasMOQ2vG845fgzNocqXEQnl5TgyJw7wVFACDZFxHbKwkaPQoG4RM/JvUZ5IgrhEC6Wzu+SFSeJ0TM8rdBfEIXv+iLfGlyasFzlabFDdrFTnSTQGJrgp8ncNeSHLKpDS68a3p9sVCdvQxMYuFXmA6sy7SknuOb2Ss4Vqsk6AqFFgin+Anx9by4+PbFDFR9LIMGTF+NEzl3PvuaWMlKPU+1KcK1Xzj7vfxi9/cRXHcvXq0BkoVXDPL97G9zZf5R0kEwTXY1+ew73nlqj30VVKcuy3M9l1z/wJhMDVeKpzDu3ft/nTwcWcLVQzyRQiiczOaloe1egsJMXB7WVHJQ/bWN0RVWyams1AOopui9c+Z4kQ01pznMwUm8xkhwZ/Sin4llZ1cPKGIEtnnPHiScSBufyqAzgfH6LSzCkl2aKKDmq/cYYbr96K42oMWTH8Wpnb5mxh4Xf2cP3/wd57hslVnfm+v7137crV1V2dc5BaOQckIUAgQEQDxoDBNhiwMTiAcxyn8dgzHo8n2B7b45wTNjaYHARIIAlJoJxzq3Oq7urqrrTT/bD2Wi2de5/nnjNnznzgOfXFuNWhau+91nrf//sPjWIsmHUiDNtlfOC2J7n/rid9taxwgp8RHuKhOx7jg52bRCaWIXiHl6aO8m9X/4qV8VMcmGrEQafOHOeq2kPc0bSTPqtC8SNvjB+gIZJReVkiMDRAwsjTGhpRz5h8rheGexixEueNBmVB4Xo6fVa5UB8HsqqQka9zpwqOb30hkTRAqTGliGfETpA0BF0h48TUWoqd0wjI+y3X07miiLjPAZR8UYApL8ikE6IpmCbnBjmSbzjnfgv+Y3chxZZM5zlFvXgWfnFiNU8NLVQ0Assz2JFt599fvJJXxmYqakHBM/ntmZX8+eeX8nx6nvKoG7bL+OOza9n4r2s5PNWghBOTTphjv5rNf+frTT8am3JDOHaMrQPtNP69wSMfXManLnhGJJRj8vC2C5jzvQm2/1MrS9rPqlDMsU11tL9WYMdX27i44rhi0KeeERVrYbaY9dcGMhybqqP5WYeBNWXULsiomfuh4VXUbytwen4VZoNU8zgUJ0JUdTkMFstYHDtLxhLJ3G4Q0IVazUAQFlPBHIcbdIyyguIhmJrN3MYBTi7rYGHZmDoUc26Q8MpReurKuSxQVPybqsAkPTfbVFaO+4dbjISRZ139Cf7yycWsbTuuEJDO4AA3rt/O852zubPmCAZiI2gLj5L/xB4m7aDPtxGKtBsa93Pwn+q5vfyYut4AH7nyaQ6vrWdWVHRh3aVKFsfOMu+DfWrun/MEmnB19QGcjxwSnZ0T4cX0HBrD43x09gvkOkN0hgbYPjUTgFnhAT591V8x/LwfSTZeEOvhglUnAThdrPFHni53tOwUaBI6I7Yg3aUCk3yg+SW6SuIAluTPluAoLalRMo4w0ZQz+PbQMI6nK3Kw8OHQaQmlBWnUqlBp5+Ie2+rQzPmeHQmjgONpHMk3+D4zGi6GUrPJwkRuKJJMngzk1JhGEsQBxQeTpFzDz++RSIFUuCWNnEIWEnqBbiuligBJNJXFgCzGBC9KbA0JPU/QR01lzpHjRx3omsuAlaQjNCQM30Ahp1FNjKEzToQGc5yuokBjwppA+watMuZG+oSzcUAUBYcm62mLjqriDKCnVEHCKNBojuF4QvJ9tlTFEz0LWF9/jMbQmM99KfCdk5dhOTr3z3yVY/k6ZkUGOJsXTUrbgj5ubXhDEeKNc2TEOb9g6S1V8OjP15HtcPjMFY/TYI5xIN/M708tI/WDOHs+MsK7W7apQ10eKudKpx85vYT6z3k89pWFfGzeRhx0zlhVGC+VU97tMPllgdwCvD7eQtsTFqfNaqJt4uAJ6RZ21iTe5ygl0dFCPRXmFFYM3KCnDrGgZjO7aoj9F8xhcVmajBOj1uea2deO4/n7TcEzCWNxY8s+/vA3y3hXxw5Cms2EG8H1NK6/cRunr6hkXrRPeVEtjXZhfM5Vth/CfbvEA7NfYfLT4fN4SaZm85n1j+N6opgI6yW2ZGdRZU7yN1c+pvyZpCHtmuRJFie6lTeOHCldW7mPEbuMsG7REhpV7u3zon0qm8r1dH9crynRg+UZ6Oj49Rm6j5xLBF16Lx3INzE7OoCpOZwpVZ9338KaUCk+781iSewsU27I52haVAey5xHB5e9tNtNqvxPGnMI6IuoLPkzNQUejMzTAuBNj52Q7cyL9qoCRr/5SuWpGEnoBQxONgnz2o3qJoGZTb47z+mQ7Q8UES8u6lfBBx+XZ4fmcHKnkvjlblOdWzg3xndfWE04W+fD8F88hpAeVJ9CAVU6VKRCoHxy6mMo/RCn/0FnuqN+h+KcbH1lJxTGHss/lmRfto8+qoL9UTvwXSc7WVGA9dEDdi8NjdbQ/ZvN6spXV5acJG2KUPp6NUHvGYTgvFK7VgSyni9XYtSVyaTF+NbRpqsj4RQX4xf/8Of+/+3rTq8b+cefFhGJBBq0yHjm+hEtaT9ARGVFxBwemmnjp7Eze2fm6clnNuUG2js1gOB/n2voDakbveho7J9oJGTbtkWE1P7a8AEdzdcyODpA0BD+l4AUZsRJ0FVLUhSYUAiUNsCzPoN4cV1W8jFSQ6iMD1ycrjp7n/imRFF3zFEQuIycsN0BraAQDlwE7qRRPYT9/59zKvcEc43SxhrhRoNIQGVuyK8o6YTqCQ2yb6sTQXNHxSQdsd9rOXio8ZHcqO3qRhTVKV6lKxY7IQzusW+i4fsZXSX2WoO9HMmIn+NOP15OZZ/Oty3+tihUJBwtkTnjaSK6W6Y9LpB+TjD+RrrbyvcloDWleBmIDTDsx9T4NhDOqvH7NZhpdczldrJk2FPOvoeRhTMu+S+pvhX0psOSUAKoTk9wSWdRIIr60+ZdFhhzbAuq5kTN2+Tvlhi85Yg3mOH1WOb3FChpDY8ps0ECkRZ/JV7I40a0iEkzN4dnheTRGx5kb60fmPI07Ub6791JumL2PeVHBaTA1m++dupSR8TgfWvyy+rtDVhm/eOoy6pcO8I7mHaoT/O7RdbivVnDznZtoDIqk8J5Sisd/djGTrS7fuP637Ms30xgc4ztHLqX6uxHKv3iWBxpeJueFOFqo50//egWlhMa773uGuFGg3JjiHw5fQ93fwMnPB/nE4heUCugnP7iO5GmbtV95jfpghqQxxabxOZz9ZCcnbwnxqSsfV2tFxt/I62xqjiqEJltcHtzwjMpNe2p4IWf+2sGat+9mbdlxjuQbaAuPYHmGMk6Ur/5SOb86sIrb5r2hYi4Adk60M1aKsC51/DzC8olcDa2RUZqCafU7Cq6pilRx3cUzk3Ui50ViJHT/2T4H2Jc5edKYDwQSd7jQQEtwlLAuAnUrjUlOFGtJGjkazDHlWl/yAmocK8eq0vTu3PGHHC9KZZ0sCqetEETA6YQbYcRKsC5+mFenZnMqX8VlySP0WRUsi5zh6YlFJI08VWaWMj2vChs59pH7i8ztk9f7XC7kucpRKVyQKlFZ6Debo5wq1XAo18CK+GmCmsOBfJNy6Zdq1ZwbYtAqo9acIOnnqdWaGc6WKukrlLMkIYJl5T7y/MhcwobF+pSwGdA1jxErwU/2XcjS1m6uqTrA/FAvf8ks52CmnmNb29hw5S4uKjum9txvv3QVkV6Dd96xkVRAhN4ezDXyyj+vYnSxxkPXPaVoEl/ZcT0zfuLhfmGUdzTuUM/wj395LdV7Siz82l6WxbvQEXvWc1+9mGyLwX33PomMiTq3iJf/q2suv+66gPxTtcy7/TDXVe3zUZsEvzy+isnBOB+4aKPaTy3P4Kcn17CsppdyM3depMsbmVbmxgdUNJV8Vs4UqmgLjyiurvQl6ymlSBp5pOVH0sj/34iN/+pXlZEl7dWQMAp8aP7LwLQiyNBclsa7WDC3Ry0eCd+uSx1TlbUMMtQ1j2VlXapDF3JZYeg3OzpAgzkmkq79hZkKTGJEXNXJWBjg4hswihwd6RgtZeZykyv67y/rW/1H/QN7uvgy1OGflSnauuc7U+cVIU3M/T0lVZfQvoRfZdK4CBk0FDm626o8z/FV8pZAFHm65qmYkrhROK8AKbom405MdVJFX7UluDQJ1flYXoBqc4K0HSftxNXoT7s8zZqqQeXmK4seGbGha2KkJrt7iV7IRSTm0DZFzRRGfa5JlZlFx1EyYKmMmx3uVxYCWTfMpDtt7Bc18sr4L2NHaAuLItdEcGlcdJUtBlBuTLFxfB7dUxVcV7sfyzOoDmRJ23F+deYCmhLjXFe9X42Z9k028dzuBVyzbL8K0Q3pFt/cdxnWeJgH1r5EvSncaXdk29n68FLCl47wd3Me40ixnowd5Zf7V1H+SphL37edVYmTCg175YcrmZgB91z9om8KqvPn04up+ecwRz5Xw7tad6hogpEftdJT2U7HfSPqkPntmZXM/MciT3xuAbMXDQibADfC1Es1NB62GZpbRktolKBmcyhbT/OLFmfiNZgtjrpPE6Mx6rtdDmfrqE8JZUjCKOCagCbk3TLwt7l8nO4l5bQH82TdiPI7Gru8QCgsXJBzbpCgZnNNyyH++Lll3Dx7jzqgQ7rFqnftZrgQpz6YUV3vuvIjvPRPGuuiw+pQF47I095bElVrDI7x9ns2kgzkfK8sMRq5v/FlDt1znAZzHMfTiBuCr5HxCahSYZpzQyQDOT6//EnCmkXJM7B8i4q1yeMAOJ5Yrw4a9eYYtUnhCCwRBznmCPsSdxDjOSl7FwTUEpYXUUW4jDyQqJ7kYUiXbCkFLz/HjDPrCsXjlBvySbdFVQTJ+JaVkTP8fuwCTN2hylduWp6h0DrpIyTHhFG9REoXAousHSbhm7wC9NrCM21urJ9R30BwT6GF+ZEeCp4QVYzZMRyftybHqJZnsDPTypx4v1rbhuaybWIGg/ky1laeIOknmPeVKni0exFtyTQXVpxU378j284/bL6JDev2sCjWTb9VQWtwhN/sWE1wKMCdN7ykCtGDkw3s+8FCxq4o8NllTyv7i1/uWk37b2DwCwnlP5Zzg/T9up3ghEf6b3qoNTMYmsu+bCMd/+Gx9/pObnnrG5y0akgaeY721dL6XJHjq6pZFO8We5teIJDVCQqQUDVQVeYkEx06Tk1ROY4DXDDjDNvfPpObK3oA1Dmy6IbDnL40RUdEoNclhL/T4k+JKA2ZuSiLZNGAuv6YT0MH7mnbRvEBqVzT/LVh88DsV4jNFciTVKsauLytdS/zIr30WhXIvD50WJ86olBwEbiboD00jBlx1Lksx+4JvaCsXqTwx/U0bO+/tzR50xdCA3Y5RkhT6IMsgFxPx9F0HE/kic0N9/mJ5uX+oreVlFxJzF2BPsgiCPAf0CBnS+WAYNKPlPwMLaaRgnNnt3KBi5HGNCBneQa6J1AJNFQciOUZhA1L/R6JbMh0ZhAb+qRf2csZtYRm5cPunJNn5iA+u+wQZOU+6efl9JRS/ijDUsTrETshih47TI05IZAkr4zj+VriRlHZ18sFtj3TwZJENwm/oHDQGSgKs664UfQzzyow8HhuaC5zkoMsi53h/bM2Y+ByuljNU2fncUvbHkUgNDWbH564CNvV+dicjQrZOZKv54mXV7Bo5Ukurzqi7sWX916PdzTOnTe+pBbckFXGbx9eT77R5m8v+7NIunYi/OHsctzf1RC/q5e31O9TxeZ/PHEV5Ufgmo9upsacIKxZxI0Cjw4uJW4WuaTiGDk3SFepiudfW8TM3xV45ZudrE8dIW3HOVmoJvyjCo7Oq+bqOw+qbnZrbzuzf5Rny+fbWTv3+HS20844FcMeuTVBhbqV3AAVx216FwtX5UkfOQTwp5qqIKwPjjPZAna5TTKQo0zPM2yXMbd6kD1XzmZ91WESep6076U0dcsEyUhBFUGOp3Fd00H++KWl3DlzB23mMAO2UFCuu+0NhopxlsS6OF2swdSyrK04wcGv5bkqPKpGrKZm8+CqF0kvj9EUTCsCfFQv8Z57njqvoAe4oXYv5nt2UWeO02hkqAuMc7xUx70LtyIDLqvM7DQXZPFLCiWxvAAhzWJRvAfi4r6POzFRgOsu68qPUnBNJQHW/VFNVWBC8E7csELrOkLCo+dooV7ZRwxY5chcQF3zSAZyavQhSNBiXC4Pm4JrkgiIMaRQZ057XAmRgEZCL+D6TYxE4M4lQeOJwjptCwNPgKguR11Bdf+SRs4fVWqg6Yo/JP1vzuVlDdsJekop2kPD5+2RJS/AcGk6kzDu++h8Z/Byys0cc0J9iq8yYid4Ld3O8oqzQtHoK0r/3L+U4akY987YRrmRww1odBWr+PmWi5g5u5/ahoxSFH3v8CU4B5LcfMOrmKFpFdzDv1hPodLj02/9i3jutSK/OLua8D9VsP2DrXx07kZAEHY3P7GUuh0WvV8bJRWdQgTbpoh/K8nB5dVccddhwlqJjBNjc9dMOv6cZ9e8JmZFB5gb7uWV7GyCgwGSJ1CCElNzSJgFCpUawZClCtOCZjKzZYizlzVxfXxIFYQVgSkCbx1moiAKYBnIfHXlAX7wNxVcmjquVIG1ZoYPLn6ZU98UESdBzQZdFLkPvOVZcm6QWjOj1nFVIMtDdzymik4ZMrs+dYRLLz3qc5dMNfa/rmofTqVG1o2c5620JH7W5+QEFIIpC395higEzn+GxZoQRb7KKPPDf6WoA0R+44QTVjEyUmEolccqtNq3gZDoPQhOX8hH90VsjRAwuf45qGn5/5+T/b/29aYnSxt4fiicfU40ga6gZYEqhH3lRgHdL0zkmAWmpewgqtaMLZQZQqURU46baTvmJ1aXziN+nTtbliOMnRPtqugQf0/jaK6Wl0Znk3Wn/66BxwuDc9mYnqs2a+HTU8n3Dl/iG9xZykl682gn//j6VZwtViqFmOvp/PDwRXxn92XKkRZgzI7y3Seu4WcnVwtlmC9vfHRgCX/+2aW8Nt7hux+La/TTly7l35+6hpM5Ma4qeQbbM+28+k+r+Pm2i4Qyzx81fHv/ZZz+4hz+OrBIEbFdT+Opx1bz/M/WqO9L6AV2TrRifa2Op55dScaJKTLd7w6sIPWvMZ4bmOsTXsU91B9PkfhtktPFahK66Pr2phtpfcriQG+Duk8OOqX+GLVvOIxZUd9d1kTHIzLsYUzpBH1EIBWYpLVsDDsi3qeUQ7uehl1XYmwOygRNjvk6E0M0RsbPUwatu+AQx+8zmR0fVND+nEg/xgcHmX+tSGaXB9N7Zm2Fb4zx3s6tSr5daUxyw52vsPLBXcwIDYquyomzquwUa768g8+teJpx3xgurFl8bNkLvOtjTzM7OsCwnVDmefff+Cyfvugpms1RpaC6tnIfH3zbU6xOnFAHW9wo8OCcl7mxSXSOYU34jcwMD/KPix6hJTjCgUKzcNkOTLI03sUtNa+rjVXex0Wxbj8SIKCUKrrmUh8cpzk4Sk9JOB/LwlWOkEfshBofGb5iacq/d1NuiK5CinEriusfzqNOXBWHjj9ClIV3TC9SF8hwolCn4H457pE2C1I8IZ73mI+SCrSyKTjKsF0mIlfMjG8smFfkaMsLUGlMCn6bj3SEtZLvuTVJUBO5Ww46A3aS6kBW/e6ME/Gz+Cx/XGP7hUmFUq9Klc2YHWN7pp1hu4xyI6dUqhvTc9k4MsdXmgX99xHiG/s28MTQImL+QWV5Bt8/fDHfevVKrHNGsIdyDTz224v518OXnzO2tfnmnit5+J83sGV8hkKSHU9n7/cX8dQf16gC29BcHjm9BOtTVTxycgl1AWGBMWIl6H26lbLvJuktVqiDctSK0f5nhzOvN02TttHIZSKUH3PpKZT7B6BYE3YYXBN1fwFmJEfovzBER+Woek5MzaFl3Vm67nAEv8Xfz1tCadxPjLD8hgMCsfNH4PfPe4XwPwxyZ9t2X84dpSWU5qG3PcE1H9vMrHC/2jM6I4O8556n+OC8TYR1iwlXFNq3N+zkUzf/xc9C1BWq8oGOl3n/nM3KLLbkBSh5Ad7fvom1yeNqL5OpAheVHSNuFFSzmvXRN+kjVpDIvSYoA44vQJDrxsAlFZhUgoWsGxHPtycsFOSYV14TiQ5KykLIJ6dPOmGCmqPUbqZmE/MNF8HPp7MShDXhNi4Vf/L8LHgmWSdM2okr01cpg+8upCi6JrNDQmE3aJWRdmLsnGg9J51ehHdvz7TzWN9i1VhIVfevT1/wP3vE/5e83vSIkOZL4PdMtfDEyytIzBzn3TNfEw6j6Dw3Op99j89lx+W9vKtpO7PD/Zwq1vDH00txX0wx423HuSh1UnVt//rCtSROGWy4SxhrRfUi/VY5D/98PXYU3nfHU6qr251pofufZ9Fzhce/Xvlbuv3D4BfHVlP37RCvf6SZh2a/pMh9r/5lKakjDiNfHKElNEpItzieryX/7QYOtQZY+j4xnw5rFk8OL6T56zpP3b2EjnXDJA1R1O3Z20Hnr3Ls+YcmZjQMURWYENEHGxMkxz1yC4KKRzBYTNDwqkO/m4KZqPlvbyZJ6oRN10QFfUkBI2eMKJoL5qTGirIzProWJBWcYk+LjpEQ3X3JC9BbqsA9HWN0vsay2LjijAAEl40xmQup93uqWENTeJxX74QF7aeFq6iPQD2wZDO/+vAFvLP+oC/5D5A08sy8+yg6nlBA+Z3LzQ172PW1Fq6OSz6LQ9YJ86HLn6NwmanQp3IjR0IvcMMHNlEfHGdrdiZtYREkenXlAdY+dFJxeIquSXUwy/3LNzMzNChk2X5gbVizmREeUgRlEJvUuvKjrFotpOFyROSgcU/zFlypoPLEptZsptlQc1i9XzFSjNIeGiYRzTNolavn2PICzI30Kd8a2dW5ni5GHj4qAYJzJDlwXaVqde0l0V4WMeJrQTWqlBwJGXsw6CvyQro1DX37v18WIsrNW5uW1jromNg4PsI17sRUZyuuk6cg9qpAVjn+CqRSU+MaMQbxCOjTQoOwJsiXGX/sI7PNDER8yLgWJWoUFWHd1GxFRpWHSdAXM2yfaGdV8jSdoQFFet023kHJNVhZ3qUKrEknzK+PrGR9+3FCcUs1Hj85diG2bXDn7B3ILK3dE83sfW4OyVVDfGTGRjCES/h/7L6E+OsR1t25k2XxLoKaw1CpjJe/s5qx+R6fuPZxdM0jqpX44eGLaPyOye8+m+L97ZuoN8c4W6ri+E/moNtgfeokSW2KombySO9S2v/J5eD7G7HqxNgqa4dhdxk1Zz1GVsfF86QXGCiUUXbGpW9WRB3aAAHTwY5ppII5pD9O3CgwutiD6oLKqwJY13SCx+5dxs2tr9NVqmJBpJtRPU7nW44zdHmCRdFuNZJrC48y/nfHuSbR6xeD4j5/eNULjC2P0R4apiM4xPbcDFLGFO97x1Pn8ZAMzWVd+THWveOYSkSXz/BdTdugaToGaU6oj0OFJq6oO6K8cGR4c4M5xs21u5T5n+QnVhqTohDzvZ7ODUK1fJqA5RmkjEl1UJ/7DMtG4Nxxk3TeDhslxVey/EiScxWR58rIZfA1oPZK3R9zBnVb0SYSep4yo0CvVcGYLZDWcScqPHgCJYbthOJEBX2j256SQCWrAlkKmFQak0CcnRPtnA2k6IwM0hIcIe3EyVhRfn9qOTe17aPWzJAM5HDReWpoIfu6GnnHop0K9a8MTPLZV25FszXef+kLav30Fst58Serya7N84HFm5Sr989OrqbiW3H2PNjoK20tipi8tmUuHY/m2fz3nUI046OYzsbK/9+z/b/y9aYvhEAQCAcKZTS+5NJnV5BrDyn+S3+ujNodRboXl5OpF3yQhuAYU/kg9adsxopi8WYdAZ/jaQTyghukDjpPp5QUig45StJxaYyMs2eegZHM8y+nrmRZVTfLYmdY03iGVy9dTHtywGfKi+ymsksG6emsUK7NhmbRGRnksTsKVJdPkjKmxILUHS6qOskfP7uUq5v3KnVT2o7z1gt3smtOM9fWHibjRAgGxKZ/0Xte93NuJkTwaiDLkkQP5V/Kc2VQjFgkMfd9s7Zw9ispFka7MTSPo4V6okaRj2x4Wina5Ka2INZL47vGqTUF9D1sJ3hpYBbRfo2K6/pYkzypOtIxO8YHZwt5bM4NiRmxUaDKzPL1C//kbxIBDM2lq1hFfXCcD89+aVqB5UOv11buo+AFhZu3kSOslXA1jYXxXhrMMU4Ua5VTbFwR9mwgpIjaVWaWcmMKmb/TW6qg3hwHUKMGed+jeonDhQaSRp5VsRPsLzQLuTzTPAl58EqDTgknS9m6oXmkfSTR9bu1YRsFP0vCtYS8s1ZYjXMtX/bv+EiE5KbJf5s6J/4g5xNbJYH3XJK95HOVGzlOFmqYFREo0oiVEAegUQTPIOoXNib4qpkJ5ZM06sTpL5XTFExTHxxXZFVpHri+7BBHi/XIxOmTU9WsSp4+L7pj69gMcnaQ62v2+de/xJBVxrf3X8ZNs/axKCr4E/1WOc8cnI+XN7j7wlcVyfhgvom//uVC4heMcFf7dlXE/WDfxSS2RLn4HlFsTLkhjudr2fS9VYzP9fjQNc+ow/8nB9fQ/EOTJ/4mzsdb+wjrJQasco7+Yg6BAtQ9mKU1MoLr6TzTN4/2v3d49hNzWb78jCLAa6+UUzbiYcwR4oSEXiCo29Rtt+iaUUahQxx8Cb2Amw8QKHiEdCEKKGkB4kaRyRYNt6aoEJCCF2RJfS87bpjNZRWDCiFIGnmCtw1Ssqe37KQxxXUN+3n0q4t5Z91egZD5B+ytt23Ccg2q/LGv4+ncXL2Lvi+eVgVkzic5PzTvJcz509E3MUNwpD59tVBnjjsxFYEzJ9LPkksfFYojO0l3qZKwbnFd9X5kGOnRQj21ZkaMcirEmFpx8JwwDeYY5UaOg7lG/n7P1cyqG+aWujeoDmRxPM0PIfWEcR/TvBn5vqWPlCTJF7yAnxknUEY57mwwxxi0yhmwk6pAN3CpDWRIO3FV3MlDXNID4BxFpe4oMrpEWWSxKF3r5ZjpXMuN08Ua6oPjCh0zNBfDc9mfa6Y+mKHWzPjWHWLP2JFpY2lZt6JDlJtT/PDMJdTFJthQdUg1nvuzzTyy7QKuXLmPWeF+xp0oHaEhPrf3JthbxoabdtAWHiFoiDib3z68Hs2F97zjGTpCQxwt1PPS8CwK/9xA77oAD133FK5fBP7+1HJqv2ry8GeW8v2lv8HA5bv9l3P0xRl0bCrQ//WkUryOO1HKDgcI5D2Kl4hnPBWY5OnsAjTPI2BOB+gCdFSMcvCiSjorelWzlTRyLFtzjJ2V7dxWNqgoGLrmseS2Axz6wX/+zP9ffb3pVWN/t309yTKBuPQWK6gI5HzCoa2g7x3ZGcyODqg8KBmoOmSVIZPlG8wxui0R+JdzQooRLxEB2amITJ0aHE8XBZUbErbtLy3BbSjwuRVPq2gLOZaT3YjsGqRniozIcD1dJDp7OiN2QqjbPAFPSsKw9LGRnan8XumoHfSheOlMfa4KS3YzYd1SDH7JdxizYwpRkAobmXDsejpJI0cqMKnQlnE/aPTYVA0ry7qwPEMdgvK/AXVoy2tY7nMd0k5MebKMWAlfVlpUigTJYzg3NFH+t1TeyZmzzNbJOSFlpJdzg6SMSQzNo6eUot4cI6iJHK1zURbBGxLOvlLuXPCCKs5EKk2kzP3cPDe5WYNAYaoDE5wo1uJ4OrVmxp/tF9TBkDTyOGjqvss08pbQKGN2jKpAlrQToytfRbmZ81WFYsx6tljJ5sGZXF1/SEntp9wQjw8sIlsKcX/bZoI+cfZssZLfbVvNqsUnuDJ1SMHUPz+ximx/grsu3MKiSDcDdpL+Ujl/+cPFaCszvHvWa8ggx3/ZcQVVrwSZ/d7DrEieEZEcxWo2fXM147M1Hnjb0+qQ+Lcj66n/ZpCxz+a4b8ar/vUI8ut/uQYz53HdZ19W+WkvjM5l8v4qDn8swYOrXlSKv5/9/GrifS7v+vyT/pjKY8tEJwe/soizN3g8uGaj6qy/ue0qqjebrPuwUI21BkcYsJP8x0/fwuTcEg+uelF5LT0ysIyTW1t527VbWJs4RkwrcaxUx7cPX4Zt69wyaw9h3VIy8d+fWs6GliO0hEbVmjtZqCZrhVlXfkQ5WltegDOFStrCo+fJpKUrfVizVKEgkIIpNXqSHDG5FiQKAlKwEGBhuJud+Xa1f4nv1fxCO66Uj2K9egrlkF5Z5cYUJwp1SqUlUY9zQ0dlUS5VWLIAkPf13OdajCqDirAs17O8RjJX7XSxxs81CwinfTvOtvEO9jwzF21Jhi8tfIJxn/wt95hzf09ULypZufw3xacCNd6Rnzuo2XQVq2gPCd+t08Vqas0JdU8sT4SXduUrWV128jyaw96JJpqjY7SERtXefjxfw9PH5nPr3F0q683yDL596DIK/THuv/RFgbr4Y6df/P5KinPyvGfxVt9k1uVPvctw/r2W/H3j3DfjVcJaiawb4VuPXk/DKzaL/m6PsgpIGZP84Iu3kE9p3PPgUzQHR5lyQ3zrxHqS34gz+NEC9896FVNzaDTTPPjsu2l8ARo/cZy3VO3FQESS/OqvlwHw3pueo9lMM+rE2TI2k52vzCHYOcF9c7ZQbuTQcdk11cZj+xbzloX7aAyN0xRME9OLPDy0kuFCnOvq9iskratUxdFcLZXmlELGK41JThVrGLViNIfTah9N23GlSG4IjLF5cg6G5tISHFWFksy+k+eMlsvxsRVb/69q7L/qpWsuYc1m0gvTGRlUh6EcEWScGEvjXX6AYTmmbqt5qFS0GJrL0YJIra81M2q+GdYtTuerqQ+OK0n5sC2cVasCWRx/U5kZHaJ/9WnaYqNknKjamIbthO+tkSdjRwnpprKQtzzDJ+aW6LcqxPc4UTJ2xA8OnCZuCwLbdCjo9AZUYsSOY5ri65IbMT2vF/4yIyWBEJ2bJ3OuZF+OH0zfeC6qF7HcgDrU+6wKxSuQfjVNFWn6fB8MAxcXkf81YiUwNFchNRIKDmsW426UlO8iLEnirjvtBC6M8iYYsJNMOoKwLYl5Cb2gCj+J0mRdnZwjNvqMHcXQBGkx48Q4MNUgMskSBWJ6URUhv+66gMvqjquxSGtwhD8NrWCsGGVZSiAV8yM9nC1V8dM9F1JVmeXe9q04iKLwpbE57Ng0l7WXHWBF2Rl0zaXbSvGzFy8F4IErnidlCLTqRK6Wnd9ZxtRNE3xozssqQf6fN19K7RaNBR/Zz8qy05i+S+6uby5ldKHGQzc/4XN5Evz+4Apm/pvNS1+fxQ11+9TBlv5FC4GCR/qLcTVu2DbSzpwfZNn+YAfr1x5RSJS3tYK6HpfQWlsRPnu9CsrOuAzMEl1r2hFQvBF0cQNQH86wOnKSFyfnUR8cJ71Qw64v+t1wNQsiPSyt62HbW+ZzQ/0+telXB7LoN4+QswIKgSu6JsuTZ3n465Xc1/oKId1iRmACQ/NY9/Y3iPjuwZIwekHiFImvFLjezKrPENIcPnvhU4ysTCi0d8ofId585yZagqMkDDFutDyD62r3Y968h7BWYtyJUW7mOJqr487OHcpdGQQilggU+PDsF9VoZthOkDTyLIz2+AeqkEEvDPewK9dGR2SYmC6uxb58M1G9JNaKazLuRYVbPS79lgw8ln5Yllr/EimUhYxEHc9YVcoSo+CaVBsTHC/VqQLG8tFAKfJIBSbpKaVoCqZJ23H63ApaQyNKtZPxM85kgWDorj+WCagiDKZHt7L4kXuCDG6V5Gz5vWJ/0Ri0kiQNEanTV6pQDcbhXD2Ly3rgarg8dZisE2Hz2CwmrRBXVh8iqNuYOJwuVvOnE0uYXT3EhqpDlPshsb8/u5Kzx2q5Yc0bLIudIWiIRu+HT27ATjh84tKnmR3uZ9gu48nBBWR+3Ezutgzvm/Uqrs/3+tmLl9L8nEPxCwbrK45Qa47z6sQs9j86l20dNh+75FksRMP4UncnLT8xePqheby3048o0S28/WU0HHRIXxRTTSdAvNejlAopObzj6TTGMhxobaQpnlUIj4FL48o+usrquCKYVYhIzg1hvXuU6rBoSs+UqlSczRtfa+Ftfthw0TXptVK8f90L5C4Knac+bQ8N89DNT6h7OO5EqQtkuKTiGJffeNjntcbVGbIsdoZ5q/sUqXrQSpIKTHJB+WkVlFp0TfrcCjpCQ6QCkxzL1yHiPmJYXpKG4JjKhix4pvJ8MvDU32kJjbJvstkvhAKKWyQRfID8OeKi/47Xm74QKroBCp6mupGcf4EFVDtNiJbjk4IXIKzZCmbttyrEjNXMinHHOSGAU25IKXfk15N6UbmdSpZ9ypjkltrX6fcdTOVMWVrDO04UU7dpCw5zIN+M41fSGSeCq2uKgR/ShWJGQov9pXLlfSQ79oJnMmIl1MNXY05g4NJfKleeQDkEsiKVWUOlhCrwpH/RyVwVc2KDNATHVKd5YKqJgUKCdanjuGiCUFdK8HjvQupiE1yUOqG6tMFSkp8fWsWNs/b7SeUhLMdQfjmH8w3qugY1m387eTlNiXE2VB2i6IpC6PhUDdtfmcvsVWe4oVaQeUedOD86spZ8b5x3r3uF+uC4vwmLQinnhIgaRVLGJIN2kt+dXI75bJKG289wR71wkk7bMXb+dAmBPLR+fJSwKbq+TelOAj+q4vc3lHP/8s3IMMldr3XS8ZcC/d/McG1qv/D/8HQaHjOZaKsmd09IoYtH0zW0Ppln34J6Lis/TMZHzkIjOrolZNESjRu3IrgGBANSSaET1YoEa3JMtCVojYwq5UsqMMXARR7RxqwqbKoCWa6dfYDH37OUu6p2qdFR1o0QfacggDabMnpD4+aGPfz26yt4T+NuZeevay4X37oLHU9JytvMYTrLB5jzpT6ybkRYDbiiW//88icpLRPbxrFSLYujXZTrOT5x42PnrA+NU8Uarkod5Nq37vcPXPHzWcJ8YMYmRWCWisZaM8PdHdtVQyEVkQtiPcgw5JwrmpjqwAQzwkNqNAICaSr30UmZdi7RuiqfXCqfYzHSFIVu0f9caTtOY2ickC5GgTKuQx5K8n3JPUIguFNqTBbXLQ4VGlW+khy3JH1EZMoNifGJHVJ8Ljm+BUHQz3lhxfcqeAGiFBX6WRcQHDfJtUkYaQqYnCrVqDDUcw05HU/nZKEaJ6yp5iaqF3ljso0zehU3V7zOxux81Uz8oWs5VzccUspKXfP4c/9SusfK+eT854W03jXZl2vmD5suZPEyoc6UeYbfPXgJgTcS3HD7q7SFRxTH7nc/vJKpJo+vv/U3VJlZoUbbdykNvwxy6pN93FS3BxCI2cFfzyOUcen9RD8zwkMENZu94000/KvJnts6WHXZGUUEPnuslvY/24wsi+PGdP+QtYkOaFgTAWW8WB2YoDyUZ7BcJ2SKPU8o3YpUzxqht1DNrcnTNATGGLCTTNkh4usHmZsYP2e8rHPHjDd47tNzubdxNwk9T0+pklRgkvtufYYzb6mkKTiGrrmU6XnmxPo48kAdyxJnFSptag4bUgdYdf9pxTcNaxZFL8R7W16l0CT2MOnNhAZ3tu0gYQhDU0mCjuolrqgUvELHE6iU6YloJOlrZmo2Ya3EiUItyUBONXnTwbuCwiDJ566ngyYc6SV3adI1iRsFdN9XTdqI6JpLxhYF/MJwN8fydZwtValJg7SnCOsWlmv4iPak8kEbsJM0m2lWJE5zON9Ae2iYjBNVtglyfJ53/3t1XG/6QqjGnEAjIrxg/Fl5rTmhNtCoXuJoro7qYNZHdkT3OWgn2TvRzMJErxq5gDBM682XsyJ5ZjrAVC+xbXwGOdvk8qoj6JpLSBOkuUd7FtOaGGNFsou4UaA6MMHhfCO/OrCKFW1dynOh6Jr8rP8i3jjYwc0rXycVmPQLqiDf3b0ONxfgvjWbCftqlrPFSh7588XYc3K8b9Eriifx8ugszv6pg9h1A7yjZacqun7x6sVU7NVZ/8BrKhB2qFTJyz9cRSGlseCuXpWo/urIDJx/qOGV22bz2YufVH4zzz2/jPqtDls+67I+dYSCJ7x4+FE1J2vrWPfB4wqqfml4Fh3/6PCnh5YxZ3W/GjGknRiWFSDlK7DkjHywr5yRSIINVYeIGwWBruRmET+rMbQgrvhLDhq67hGYFKF+EsaXXk9ywYEIBm1PpTnUWca15T2k7TgFT/hrFK7Ikp8QqJLcGJclu/npLU2s6zipxo85N8TV63aze0Ejc2KDCnFpCqZp+dgx6sMZZfrmonNb2xsc++c61kUEmijyo3K867aNuGiqQzc1hzXlJ1n1idMq3LbgGqSdOJ9Z9CzmYqFO67cq/I46z99c8Rh1pgiHFMXyFLOjA8y75EkcdIUwVgUmeEfzDlxPU0nPcpT2jpbXARELkwzkwTOY5XtgWV6AxsAYZ6xqqo0JYnqJs6UqlYtU8ExMz1GjyMZQmgGrnGGtTEnDh0oCxpZmbOfaO4BoGHJu6Lw1ZWqOSjoftn2+kh9bktAtcIXpmtzsB61yCj5x3sQGfy1LW4tkIOdbQFQqXy45fpVFiByhCgNR6dUlUOIThTo1SpVIR78leFGSYwSiSZIeVXIs6qCxP9dE3CjSFEwT0kVj0FMs59HRJVxRc4TFkS5enZxN1CjyZN9CTMPhpvo9yuTyaK6W53Yt5IqlB1meOKOMFb+/7xLcwTC3XPqaSoXfn2ti4+8uIL8sx30Lt/ijdI1/2rOB6N4Il9++g2WxM1iewbFCHbv/dQmZdp0L332clqBQYv3owFra/8Xj6a/M497Wrco3a/gPLSQzHlNzQ0oV1V9M0vy8w+5oGzddstsXK9gUJ0JUdLtMOiHB2fMP2VI5OHFXGRyams2S5h52XzqL65KD/rguJ8ZaV6XJ2oYaP065IdZWnuDRz8e4vqpb+R4FNZv3XvIyJ1dUs6ysS6wFYxLLC/D2ezZiaK4yfx13oqxPHWH9g0cI+pYo0tj1zrbtFFvEc3HGqsbAZUmimwuTJ84rUHXNIxWY5N6WV6kMTHIg30zUEOP6BnNMKReFRUEZE26EKyoOicLftz4wfJRNUByE75KhC78zUaDY6rmSZO6oLrhjw74jvpwmyJcM+xV8Kl2h+CHNI+3ESRgFxadK6HlcQ1c8JoPpUZQcR+Jx3pos0/OUfAFMTylFwiiATxDPOFH+kF5FSLdVsS8mFlH2ZRtJmnlmRoeoMUXk0tFcHU+cWMCFraex4sKMtsrM8ujAEk7ubOHSS/exsuw0ZcYkhwsN/GLvYmDj/8QJ/1/zetPL5zN+JZt1wvz5V+t45C8XUzhnMzucq2fXN5fyq+fWKQmuobk82beQgb/p4Mf71ypui+UZPLztAgY/287j/YvUgzrphNn76DzS/9DGqXy1krD2FisIfLeKo7+cA+BLYUNsT7cx899sXn9tloLFo3qJXftm0PGww+mpSmTCcdE1ie+KULfJYNKZzpKZsMOkDjtoXRHCPlE3aeQoOQbJMzZRc5qfENYsvICLRBtFMOwU8UCRbDvkGxyFGoV0i7nJAfouDtHRMXjOhqDTuLKP7ttsZsaED0naFoqU/N1jlL+1V42TLM/gipojDH7ZYcP8Q/9DWKRNws+8kSqetB3ngVWb+MDiTQC+qVuUtze+zpq7d3Fn2w6SxhS15jgZO8pH5rzIfTc8pxAsOVJQqJyRV47RV1Uf5KvX/4H20LAam+XcIF9c+CR/e+GjTPokeOFWXeBTS5/jmtQ+so7w43DQWRTv5t7WraLb9/ljBc9kQ+VBOiODqqiWjsVrk8epCExh+ByNgicOy4rAlEIK0r7PTbWfX5Zzg8ouQSiyxFghqgv5ataJkHZiHPVJ27VmhoRvGJcwCiR0YaJZa2Zw0RmxEud0kUUFOacCkzSYY6yOn2BV9CSroidZHTmpnHvPWFV0Fas4XqrjRLEWyzNIGAVSgSk1Jg1rlu8NJbrPhC46x7PFSpE+rjtEjaLiCICwmpAjXbmWYDqTrCIwRVexyjc0tdXmPGglyfiHqHi+hGquu5Cit1ShutSQbtFbrOCJgYVkbJEDGPbRlD/2LOfJgYUq/VrXXM4UKvne1vXsn2rC1GwqjUn6rXK+tWc9P37lUnJuUI3Qi67JH3+6nn/cfxWWJ0wyM06EH2xez2PfX8fZYqXPC7PpLqTY8Y0V/OHZi/zP7eB6Gr/ZtQrti5U83ruQ40XB0bHcAIVf1DH2+yYmnbAivZ+YqGbWzwtsOjVTHD7AsF2GcTxK9RvTikjBZ9OIDnk4+YDPOxLy5misyFSrQ1t4hF1TbST0ArPCAwxc7BJeJewMhOKpxF3zdnDm4xob6o8oi5GoXqL9XcdJPSAMZKUC76LkcRZ8eR/vWf0KOTekDCC/ecnDXPbJrbSFR9Ue0xRM85l3PszHL3tK3c+oXmR96ggfecsTLImdVZYIWTfCR2e/wKfnP3ve4R/VSzzY/hILYr1MuBFFcK4ys1zsx/oUPFMpv5KBHFWBrGpYHHSCPvotR31ZN6xIzB2hIYbtBBknop6lsG6RcaKU6Xl1jaXq8UC+WSFssjmTJrydoQGO5upUFM10QLej8idl9IWMsZEcyJxvZBvWLOaFe2kLDvPaxAy6SlXIPDHZqPaXyqkLjPsiB2Gkmbanx/3nKv+2jc/g6aEFagQlCq8Y3zt0CU8PzleqroJnsnuyhe+8cgVbxzoUL9NF5z+OX8yTP7yY3RPN6p4UXJMnn1zFC99ay6Al7lVIt+gqpOj9505efnaJOntMzeGVgRm0/bPHy3vmEtVLolDTCxzrrqXtqQLHM9WEtRITboRJOwRjwf+p8/2/6vWmR4RCmkVQ1wTvp8zDCU53pwYuMaNIpkPHqxPScUlCboqP88a6BmbUdYmDzhOW8/PndXPkhlbemuomqhcZscsouCZl6wfoXpTk9ogoHnJOiIXRHnZ+sIUwApaWBlOXVR/lj19exrW1QlEh4h803rF2K8cW17C6/LSSWEb1Ehvu3IblGTSGxtTnWhDrRf+MR5U5qRaShcF1tQfIfO0k9eY4WTesDBM/ffFTcLFQYEgSYY05wXuue0HNtVO+B828aB/Nb3tWqSukv8XNDXvQG893r00YBTXSAHHAS3Lx/Z2vUB3IcqpUrQzp6s0xRuwyTFBjSFlcyGwqSby0PIMLEqf8TS3ASKmMhJ+oHPYl0ILbJWzwR+wEIcPyOyXhDbQv10IxYCqSbMaJUGMKFVQqMKlGKbKbFzEQlX4xIsaXUiEnR5Sye5smbgZwXE0VpJYrZuxZJ6w+l+RSyI28NpCh4AXptgQ5vdKYVMTTPqtCbWaA8pvKuUGSganzCtywYak4EFk4RPUiUaPom4NmFXm03MixN9dCe2iIGcFxBY0fLDbyxmQbiUCBE3Yt5WYO19Z4fayVcMCiIzpCfTAjClQiPN67iA31h2kKpnE8nW4rzuP9i5gqBbm3fSsExEjuQL6Jf9+4gctWHWBJopuUMYlraPzL3itweyPceeVmfyRb5PXJdjb9ZiVTK3N8ftlTTPmH7DdfuZqq7QHWfnAnLcERMk6MtB3jjW8sZ2Shxv1vfVaNCh/Zv5TO71ps/PvZ3NrwBklDBA4Xf1bHVEQj99Ej6t69MdLM7B/mefwTC/j8krMM22XCcuBMmJp9HmMXxhQJ9FS+ili/y8SYj4y5JgsiPZCwKJWH1f0wNYfG0DjDyzRCnRM+HzFE0phizeyTbLtnBm+p6lZq01ozQ+q9Z8kUw1QEptR93lB7mG3/2MEDlccVWbnWHOftN21itCSaD3nAd0aGWPDZx8g4EWUAq2su75q5k+gsgSq0hUfEqFxz+er6R4jpRY4W6lVczqLIWf5+qcgAHLSSCr3dUHWIoIyv8XRG7CQJo8CKxGkGLWGMKq0UTM2mPpgh7Ss5i65JQRPycTkqEQ2RMPALa5bygZLvWSIm4vD3lNKqz6rwfbNKFN2YIk/LwkaG+J5bZOuaUFYWXEM1H3Lfl4VJzg5xplRFxo4yO9zPhD8GFkVMmDnBAX6VXkOlOUWtmaGrVKXijww8UoEJukpVDJUSytG5LCDOkU3jswloLksSZ4XJrE85+PPpxaxtPM3qxAnlAfTXwcUcPNrEfWs2U2VmGbbLSNtxNr62kI3aAt576ctqbHRsqpbdP1/Io9cs4rrWg8jU9l/uW0XLrw36P5fk+pp9aky957F5JM66HPnkgN+0iYa69udhBuY2k71nv7ouZ7KVpHYbHKqu47LKo1iOaFam8iEq0y4F26QpmFYjt2KjxYQnCr2sz1GdHR3kuesdqmvTfsETI6EXuKbpEI9+bhFX1B9UQIGDzruXvMbev2tkRflZMk6MBnOMzsggN63dyXf+Mwf+f/L1pi+Eip6J7UOI77v5WQClDtI1j5ZQmg/f9aj6fnmgrEqeZtktZxVRV3rLrE6d5q3X7hbyU7+Di+pFASk3iwWX8+MgLM/gvrZXmfI9KOQhmNAL3N/xiuJIyH+rD47TXjlMwTMV1B7SLVpCafXeKgOTdFsitb7GzCplmlBu2MrJWgYGytBUOVsvuNPRHZNOmKZgmqwTVqMC6R1TG8gwYpcp3oGAWW11eMoOXR68kvNkao7vAeMRM4rKtbc6mOVkoVqZnJl+YWQajrrGkg8h4zqcc3gd5x42gow+4R+KcWXmpWsuQ1aZIn4njRwtoVGKrqkWantoWBWk8rNKZEoeXAV32v1Xfk45IpH8MAOXESvhk8E9RaAvuiZnCpXUhTLKiBJgoJhkv9XIqrJTVASmlHHZzvE2GiIZlecV1Utsz7Sz9dQM7l0oUCjpfP3LYxcQDlrcO0MUxmHdYudkO08/s5L2NWe5qOokcaNAxonyg90XEzkc5pbbNzErPMCgleT1bDtbfraciQvzfHv17wAouEH+YffVJDdFWHLPfurDGVKBKY7maun/SQfpBXDBtWfUWPkXe1Yz84cuG788m5sb9mBqNpNOmOyvGkGD4idFoOK4E+WlwVl0/maKl1OdXLjixHSO2vEo1Qc8rCsM3y4giO0ZRIZdJnIBFSeRdSIEEhZT9SJyQHIt6oPjDC3T0NqmaDDHfBPTIpfNPsaLd8/jnVV7FLenJTgCdw0TMxyFrjke3NS0l43fmMNdVSdVjE1CK3Drda/iXqsxKzJATylF3CiwpuwkM78w7ShsaCJs9qHlL1JcatIaHKHBHOOxsWWUBQr8zY2P+MGu4rnKuhHWlJ/ikguPYfmGeyCahg82v8iwXabGmtKp+ebaN9RYRaILLcFR5kd6fDFFgBxBRZw+U6giERIChHIjR10gw5QXVMjKsUK94DIZBabcELPD/eyY7KDKnBRoiu+xI4sg6eQOqP1FjqIlciWR8oJn+s7xmuJMyhFwVC+RNHIkjDyWbSjrDomiSk6I6XN3hu0ypF9UyUdMpHikKTgdJJ12YoxYCZqCY2Kf8ZWzB6Ya/QN5QPltZd0wf+5ewvKqHhbERDRF2o6zPdPOliMz+eyap1QmWtQo8rebb0SP2ixY2UNzWBzom8Znsf/XC2BDmvs7X/E/d5D/eO1S6l8wSH/0IInyPDPCQwxaSQ78YAF2RKP9gREhlXcjbB6eSd3XTZ5+9yLmXtKPNDE8dKCFmX8ssWNOG5dXHcHSBG8u1qNjZj2sdQYyWsRFQ/Og5BjUB8eVO3R9dYbBC+poC00pp+ewZlN+2QAD6TKqzEkVzVJlTuI+NMLCuKCCTDphQprLDfV72X7PBHNiomByEXvde+dvoThXxLRIj6jqQJZPr3n6PK6rRPw+sVqcs7JZtjwhjHjXzB2quXM9naKnU2VmuazymBqtnSjWivsX6f/PHvn/qdebvhAKaA4Bv9CQB64MBTxbqqQqMKkIdBKut1xdoRUxv/OQm7ggF4YoeDFlqiV5ANIrQ6pOLC+A4+rUBTLsyzf7svScygyLG4XzVFyAgmflmEkSJjNORBFfpd9M1Cgqbxn5HixXVzJYR5sutKT8POeEztuI0nacrBMWShv/kBeciiBVgQnSTlzJK6VHjeUGyHi+Q6hRpM7MMGrH2Z9rYl60j5wbRPe9gKrMLE3BNAXXVJ1pzgmBIX5WXkPZiUllm1CC5TlZrBXycj8+wEFjxIqzJ9vEsrKz4u8HMnRbKTYOzaE5Nk5N2YS6RiNWgp8fXM0VM48yP9arFvJvz65goDvFfas3q/GDeA40ZoYHOFGoEx2tZvH0wAIGnmhh7i1HuDJ1SHFOfvPkOsysxl3veF5Z5m8em8XZf5xF9w0un7/wCVVQPv7sKqr3eCQ/nWdOpJ+UMcmuqTaGvtbBnosDvOXtP2RXvo2ia/LK3jnM/nGOp746n3tat/r3KUbs8TJcE8yPOcT0IoNWkv1jDbQ8ned4Sw2X1xxR3bXRHyLRLdKcs35hGdItjJKHWzTUgZPQ8zRVjdPbEaE2NEFLaJRGM82LI7MZutAhVjPFmUKl4AwEClww8ww77mvnralu/7kTfksN954ioDsMWmWqsLym/iAvfX0Wd6TOKoVLVC/ykVv+ys4N7dT6Yb5JI8fasuOUfzxHhSniEgatJDPDA9yzYBupJWK8pkzrNJcPvuVpDDwazDGOFurpcStYlTzFxeuPUXBN9Ty56Ly3bYvqQCXqWGNOcFPdHjVaAD/awMxS7kdiyMN+yh9lyCJY1zzG7JgY9Wk63VaKYbuM5nCahF5QYxcpcJDrO+o7+R7IN1FrThDWbI4X65TqUY6lzn0NWkl/nYg9Cge/iXPBH4Nk7TAtIaHAqTXHmRMcFNfLNknbcU7lq5mwQ6SCOaJ6hMaQyESsMEWEiCwiwppFxo5Sa2ZYGe7iH/quYWGi9xzLC4+iZ9BfSJIM5JW1h4HHiF3G1rEOVpZ3EQ6I748bBbaOzWDSCnFd7X7lvn66WM2fDizlqjmHWRI/S5meFzYHBy6mNBDlvZe+jBlwMBHWDI/8dh25eQU+vvJ5dV1+feICEr8qo/zBs1xfs0+Q2N0wL/1+JZFhj4qPv+QHeTrsnWgm/rUEz96wjAXX96j9cMvhmXT+xOLF2XNYXX7KF6hEqdweIF9j0rekQhnSTlohIqMu41bAf1YEqhVN5ci2JkmZUwT9JjCsW4xeVsQIuErBCHBR9Un+8LFlXNF6UJ0bAPdesok/Ni3l5vLpOKKkkeeOOzeScSK0hkYUqrUmeZKWD6SV+a0MvH178xuE3mEpNEuS+O9o2YnZKnh9Ut1YFchyc9Nu5eot93wDj4vKTygrgqwbJowYfVcHsui49JQqlbhAjs/EGvLUess6YTVKNDWHpDHF6WINtWaGnBuiiFgfcoow5o/YQ7pFCPFzQ9b/ecn8ua83fSE0YUco98QNqQtkGLCTHCvU0xIaVWoSqQaRlbSLzsJwDydLNRzL19ESEnNvuakljDymKzaZqFFU0m3JyZBdiyyuui3RGVUFJih407PPMj1PxokoxdekI6pqyy8kpBGeJKHmnJAysXM9je5CCgedZbEz5NyQ4IXoNm9kWtU4ozU4Qp9VwZ7JFg6N1XFZ7TEBUzuiwn90YAkjuRjXNR0kFZhShM1v7N7AzLphrq4V2VgGLs+MzeK13bO4dtUeqoNZiq5Amj629TYYD3LvZS8rzs7xfC3PPrya4uIc71+0mbhRIKEV+MXZNQzsrmPFxUe4pOKY8o/4web1BCZ03nP9CyI/CZ1jhXp+89oaGttG+MSM59iba6HWzPDHw8swD0WZuDLCJZXHhSrJjnJiVzNHEw3MXSu6CQOXp/rm0/JDgxfeN5vlS84AYhMb21FL62sWPUsrWBTr9jsaMW7rKlWp4ghgaDJOotthtCAckh1XjL/QwQ2JUYkkJJabefbODtDYOODLSkUeVGLhKH1VSWrMLDKCojE0xlN3lZhZ18vJUq3yJ9qwbD+bPjWTt9cfVV4ytWaGtvceIxEo4noag7ZIjr+u7gC7vtHChrLu6SDbwATvvfYFrGsM5T4b1UvMi/ZR82ExCpXk1dqAxu1NO+mvLSdp5Jl0wpxya2mLpbl47QlEzp7mR0XYzKwa5OrKA2pMKDeza2v2C8K0bygpRpw5bq7f7ZOrRSEmjeqWJLp9VDWoCJwtIUHeddApegE/QLigDCplcyHjZIquyeu5DrXBCtmvUJI5iA1eEqjl3xJk8qwqviWaqTypnDDjiDgWWezInDMLYQpab46f52UlPX3wyfWyEEwFJlUzIIUCDjoJo6DQRRlYLH3AQPiUnSlUkQzkFaHZ9TR6ixVM2BFmRwdEU+cTcF8b7yARKLIkcZacG6LPTjLqxPnBmUtYkOpn0g5i+u/p4UPLCZg2H5y/WRHF9002seWJxbRc1sU7GraTdSOcsSvYcmgme47P47rbt/op7TZDpUq2/MsFDF7s8tXLHlHPwN+/fg3tP9F47vNR7mx6jYIr9qxTP5+FUYTMJ09i+nYHL/bOouOHsOuzTaTMKarMLCljEu94nIbdLu6lGpXGJCeKteScIJEhj1yLODxNzaHSmCQVyzFeX0GLWVBIXUIvUFw+xWRGFK4SxZ8TH2D7B9pY2XpEiTlcT+c9K19la0cHl1YcFUq8QIGoXuKCB3YTM4qqYbY8gxtq9tL12V6qzKxSp8YCRR6c+zLWHOHBJHLFPMoDk3xm5TNq/5DNblVgki8sfgrH08g4MWF4q9nMDffxljZT2SrIZ7M1NCLc0v0mXI7HKwJTyt9INL2aio+R9iTnIi+uX+jLl+RsynUBKGRI90Qz6PgBqAUZqmsL5aT0RALOa+gdV/Ciip6Oi6ac7XtKKdXYSnsT2Rw6Ppdx1Jq2HpBO98OlxH/6zP/PvN70hVBFYIqgLjxpnkovImuHWFTWq7gdCb3AU8MLCRsW7bFRZoUHhG9Edi5/PryEKzuP0BYewfCEk+/uyRae272ADUsPsLbsuJIFPzMwj7MH6rnl0teYH+nBRfgw/Mf2dejZAB+76kkl5x2zYvzlLxdRaCnxpYv+qnhJj/YswvpTDck7erm5YbeYLWse337hKmq2a6z+2OticTii6Hrxp6txTWh5r1CnpAKTvDA6l7EvtbLjpk4+dcUTTPl+PM8emcvM79j89QsL+HDni2TsKKbp0PeXNpKnbfiqKPQKruBEtPzUoHtlK7k7TjDubz47u1ppfdyhZ2E55WaOqCEKtdjBMLE+l8I6U43OJp0QZV0uAy0CRi83pugpCRK4ByTMgj+q8xG18hKWNs0V0DVXbJCN43SWD3OmJJymg5rNmvZTbHFmsLbyBE3BUU4Xa2gJjdK6pI+EWVSLcNBKcnXDIZ781Hzua96jEIFaM8MtN77CrkuaWZ04ocZUEjWUCqshq4yZoUHunLGD7BfC53l01AYy3HHNZmUICJB24iyKd7PgbgG/Z5wYKWOSEbuMuzu2Y86YHi3KTvrTSwSMLAtpB43Lyw9xyeJjPlonOBWpwCTXVonkehkvAeKwvaPmNY4X63xORICSL59OGnk1lhXvT5gzyqIhrNnKm0eam0k+0dJ4l+/Gq6mogHEnhuNpRPUiXaUqwv54WL6/af8ZzR956Dje9DhT5nPVmRmO+0RsWWgBFHw+W3VwgiGtTD0H8mCQhp7Kx8vfxGX8gfwewJfNi4JHkK0FCpRxIspheNAqo9acUMWQVI5sHZvButQx4VquW4x4CXZOtBPSbRpC4yq0+USuht3DTdzUvI8qM0vOE9ywnxy5iGjI4q727YrbcTRXy4svLmHlxUe4PHWYEXt6ow/plhqzRvUiu6ZaOPKD+YysL/LxFc8LTgUmv9u2msaNGhOfOMyq5Gn/GYvQ/W+dTLQbzH93r3DRt5P83c7raP+pxqkvlLioSiSxny2mqHghjGdAdk5YmR2eylZS84ZF95Jywk0WJ4u15NwgWs7AzE5Hm+iaR10ow9gcDSNhKaQRYG7zAIdvauWq5JCKyGkJjRK+RSjDTN1WaN61zQfZ+uUO7qzfI8ZRPnH4HddvIndtkBpT8KtqzAlagiPUfHzCXy9iRD1OlFsad+G+f48azUlD2AcXvayQCqkQrDEn+PLyxxXfSlIUWoIjNNWnlWu1tEmYFR1Q9ImcE1L7ogxFlc+blMDL9Wxxfqq6UI2dH2otvXjiRoGcHSTrCJ6QRM3lq+A3AtMFy/TYvtbMkHZiNJjj9FnlikYh9wOZVQl+tpuvNtM1l4ITIuMGSBgFZof6eHRsOdXBLGFT/HtvsQJTd86xXChxtljJ0YlaVlR0qa9bnsHeiWYOj9ZwW9tuJcaYdE1+fmA1yUSO+2ZsIRnIYeDRbyf569OrCc0f563t+6g3RfTSc/1zsH9by653DHJP61ZcTUwuHt+/GPjL/8QJ/1/zetMXQmHdIqILF+Gdf1xE+Umb9i+NUm+iutr0d1opxXXmf1SolnJuiKFigrbvwYtXLmP+rb0KCdra286c70+x8ZNzWLr0rNqcuw7VM+ORAjsWtDKjaYhyYwrH04kfCRLrdxlZL+bPzWaa/lKSstMepfIAuyZb6YwMiYrYtJhwoWAHlJGajkOgJk8hFcf2iX+Sg5GZ7eAFPNW5GJrLrPgQD187k/Z5fX5nLjg5qzrOsO3eTt7ZvAcXXXU28WsHmLTEQjQ0ET/RERnh6KdGuTzVq8iBBc/kg4tfZteXW1hWdlZ0D3hUmFlWv20vM6NDVASmGLNjVASmuCx5hLrPTihll1zUtza9AU0oWX/RFUndH17yoj8ay6kNJKqXuLtjuzoM5RhlVfI0y5adVfcPxMK8uWE3ACNWQtgPBHIYuLyrVWRBSblo2o4zMzxIfe24gnUNX1FR8ExFfg7pwg+mKjBNfJWH+qRTpmSjaSfuH1aGIrxKNND1R5LSdVZCyPK5kSMbiSSaeCpjTJLgJRdL2gpIFFNu0N2lShUMLMwP4z6pfDpqQxrsnTuKFX9bWDdkXBF3krXDmLqN5QbUYR3SLVxblAkZxOEii5CQblFwAgxaSf89l9QYCaC3WEEykFdk86JrcrRQz7GpWpYkhEGlvCZvZFpJBYWKZUX0NNunZtBTqOCNwSaubj5MY2hMdZe/Pn4BHnBf51Ylxd+TbWLbK/O5dN0+5sb6STsxwprNf2y9FHM0wF3Xv6RCaV8cm8OhH89nfH2BDyzepCwQfrBpPU3Pe7z+2RIrys74fjgBDn9jAWOzDMUnjBsFnts3n5m/ctj6tx1cUX0YU3M4Wyon+ccE+Uod/YMCJYrqRXYOtND6TJF9sxq4pOKYut/ymZSjBF3ziAdKWFGNYNhS0RZF16S2Lc3w0mrWhidUkxTVS/Rda9NYP6yK7pwb5Ko5h9ny4XZurTpJUzBNXUDYbsx930FMzaUpOMqgnSRp5Lm5YTf7vtzErfEeCq5JY3AMA5ePX/EUxfUCNZME74Re4P63PquI/0XXBB1uq9tJboOITDnXHO9D7S8R1YtsmZyl0IOW4CjJWjHakWhZVC8yMzwdKSJsFAKgi33a8Nem9BirCmRxNF0pt4qeqfgqMmBUcglH7DKxz/gp6OcGYcuXksD7e400cFVKWAxV0KgQWgQP7VyKgywMpSmsLCIlh0b+LdfTfF6Wxogl1pmkCrieTntoiOfHFhDSbebG+pTNiOUZ7Mi2UxYoqAlCVSDLkXw9T5+Yx/UzD9AZEbmIlmvy+67lDHdVcPfaV6kPjlNu5Ng/1cRPXrwMN2Fz8bxjzIzk0TWP/RNN7P+PhYxcVuQzFzzDiJWgyszy5On5VP8gwl8+lOTeGdtEQeqZbH91Li3Pltj7lSYuqTiGhUHOCZLcFKGUiJJujavivjtfQeV+j/7KBKEOQcDPOFEqwnkGgqC5+nnS/Y6WIXr+Vw76/83Xm74QKnkBRkspqgJZyjf00ztUTn1wXF30WjND7q5xDN2jKShIyRknyqqyUxz/fDUrys4oiWjJC3Bj+362/FMH76zZK25kYAoHnbddvJ3BCxKsSp72XaPLqDUzXPvOrerv6JrHgC3yWq7+xGZmhAYZtJOianeDvL3xdc5++LQPQ0u/FpcvLX2SrnlVynzQ8USn8qkrnlAIg4x1mBUZ4ANXP6f4PWLUJqTeay85gevpamM1dJd7WrcqtUjUKPqwa4nbm3YCKHJoyUfPlpWJ4NeCKwnUDivLTquOP+mnZU86QgmTMiaVOd65s+isF1bdlOxgdN+fQo4Yz33JjU12bfKgHbETakwi5NkaCZ8wLMmhOiKuoyE4phAWqUoathPnRWgUHb8r08TPSA8XgV6IAifmWyZUBbLqs/mghgoolYZ9aTuu5vnlRo7TxWrlrQGoQk66dMvPKeBoMQLK+YelLFgMyffxeVsn8jW0R4bVpi9SyU2/CxfRDx2hIbpKVbwwNIfaSJYVyTPqGu/JtvDq2Q6un3GAtvCI2Li1MD8+uhbb1nnfvC3qGvcWKnniqVV0XnyG62v2kXEidIYG+eirbydyIsR773iGlD7JkFXGqXw1O7+zjKF1Fp9e8zRh3SKsWfzjtmto/bPG1OeCrE8J5eRIKU73v3VyqNlg1nuEamzSCfHCoTl0/tjhja+0UF+XwcAThm4PJ7GiGoWPBDA9UcSezFTR9niB7bNauHjOUXpKlYQNm+BwgMRpoQiVfCBD8/AMMAKO8smqMzJE6icZWZRkVXBS3cMqc5LeaxxiKUE4zflGixsWHeSl93dyd+qUup9VZpaGD54gGhBjzpw/2r5rxnb2fr2Za+O90xwfprOYBJFbfG1J/CwND4z7QoaI/+9FHujYTKk9oLxtMo549r564aMk9Dz78i0qq2pWdID5s3rJuUEcT2fIThDTi4oD4vomrJIYvTR+1kcvXCVAiBsFZbAi34dETeV7l2ieXAcmthrzZZyI8vcSGVVixOfiFw2eGOHkPIO0EyNJ3vejCio00PU01XTJ4FyBCIbOayjwixfHRxSSRh7LMQhqgrc2N9KnyO9SuVrwAoxYCaHCO8eIMueIZ68+mGFF9BTbczMYKCYZLJZRH84o9a6Bx9FcLTsHWri5ba8ozhAmvT89uYZCPsgHFm1SBPgzhSr++vRqogvGePfM11QR+Gj3IpzHqqh/xxmuqj6Errnsy7WwaeMiKo5A5CMlWkJpokaRE7laDv3DInqvgA+te16hXC91d9L6bZ3nPzmbjlnD6pkZO1BF02suPcsrSAWmQIeyQIHYWR0nFGTl6i61l0QMi1ydRiDoKITS9TSW1PWy/fK5XFTdr9Cn3mI581ed4khbDZcn+nxxjk0ykGf+3Qcx/CxOsdZclie7qPr4FBFDuJ3La3Jb3U6OfLCXuFE8LzXgpvo9bOa/7/WmL4TCWgnPP7A31B+monmaVZ+140T1Ep+a/ZwIuvR9RiRU+962Vym4IjjR9XRynuBc3N/Sw7Bd5lv2i069MzKoFog80MKGsDkXSiohI5RdRI05ges/DOcWCU3BtJhLg+q2CraAQ2XWjuUZmLqtUBNZHFieUGVI+FI6zkoXbPl3ZNFgeQZpS2x6krdQdE2KiBGDHD9kvbAfcJpXqI1UtKksJTeiDvyiI9CHrCOVa67vhltQ6oBzN9MoJR9ZiWG5AUIBSxFBi67gMhm6qwomeXgUXSHnnHJD5DxDGSnKyAAQSeOniyKBPaEXKHkBspboCMfsGLPC/b6yzmTSDjPkz6YDuqvUfBknysHJemZERwj7nzmkW7wx2cahsTrubH5N5YedLlbz+JkFtFekualWIFSDVpIt6bnsP9nELUveIBYqqky2n2y9BCNhKQ+lqF5k50Qrex9eQOKqAd7Vsp1aM8OUG+KfN15L2XGD6+99hXpzjIwTY0emje5/6+Tpyz0+u07Y6cvOVj5bDcExThVrGCiVkf9+AwfqDVY8cAYQBebGo7OZ+QOXfV9ppKUu7Xd2IaKPCXJ2bo4gzqPDrnQzTS+XODmnilyVQMgGrCRaNkB0UBRdVYEJmoJpBopJSgmNcFlRdYBJI0dH6xC9FzSxMjKm0MbG4BgDN5RIJnOCI2An6IwMct2CA7z0sZncUX1CqR9rzQyN7z9BUHd8z6EAUb3IdQ0HOfKNWi6LDZLzXd9dT+P+m54l54qRy5gdw/JKrCo7xaqPnFJjFTm2eGDOq5hzRWbgsUK97zSd5WNrnld8KAcdPJfliS5mLhg6Z3QhEIBrqg6oZ1T6ViWNPGuSJ5VvkozwSBo5RuyEz8sw1LqtN8cVQdZBI20laQ2NANOCCmEeOcWglSStxRXqJjh9nkLPzs0FnFakTodi9lnlpIwp9TnC56CIUjQiOU0SxZTPTkIvKCGGXKsS+ZMjZunvJRBu3f8MQbGvGoInFdOLHM43kLZizIyILC8djYwT5VC2nlQwR0dkWNhtaBb7801s6e/g0objdEYGMXQxlv1r/2KOna3l7mXbVMSG7ep85bm3Ytbm+fiiF0g7gtf0SP8y0g83UX+HKEAKXoB+q5zfPi5EEO9450a252ZQHchyZLKenr/rZOv1Og9d+qwK137+yFxm/sDluS/O5eam3QpFYnMFqSGXsXnCWTlh5Jmww1Tu8xiMlcNMFOofC5aYtMH23ZRrAxmqA1nc1gJjepioUVLFZWtkhKdvLtFSO4bjG7RaXoC3tB3g2c/OZX39KbEna+IcunXDFs5enGJurF813FVmltvuflGdkZZnkHEjtEZGeO+dT50jChA810sqjrHs2rPT4y8nzMJYD52RQS6vCpC2Yxiei66LfXFJomfa0sVvBk3NYWm8S/klWa54ZgpegDmRPnpKlUrhWBXIMln4vxEb/6WvnBsi6PscyIMhrFmk3ThFn3gpUQQpBRabia0M8jJOVHUeBR+CddBUlyQX/rmhnYCaRUc1EbtxbsJ50TWF26cnFGpRraQWRsH3LZKhkfIQiepFBZXLQ192ZaYmlESy68k4ST/Pq4RMfy96JnHdot9KqHl3MpAjY0cpYJ4XJDtiicymghfAcoWLr6659BdThMIWraEREnqBUSfOmUIVk06IqD9bl7b7hybrKTfzrEicpiM0RJ9Vwd6pZs5MVbIo2aucvB00Xhqbw3A+zrrq40w6YR/JgZ+cuJCySIE7W7arw2PfVDPPbF3C6hVHuTR1VJgK+oR1Of6RG9Lr2XY2Pbwcb02Ge2dtE4eFbvOj/RdR/kyUhe/fz1sq94AHWSfMM4+sBg/uuONFonqJlDHJrwbWoH2xki3vn8FHlr4orBGcAC8+tYyGLSWOfL2expDIH+otlFPxgzjHllUw9c5DylJg/9Fm2h926Z5dITZuPHJOkKrtBoXKACwWaJKpORwbq6HiiEVxg0ZbcITXc+2i63U1nKAo9AxNHDJVwSn2zzRI1I3hepo6qCS6AMLoMWEUaIiP8cwtc6mrEMoo+XxfO/cg2z7TytuqRcaaNIBc/IF92J6ukC8Dlxsb9nL4H+q5PJwmFRAeVn1WBe9e9wrGpS715rja7ObG+pj5gcFzfEM00k6MO5teY+rWkPq6RA++csFfFfxveQEs12BurI8V80/TV6rwiZ8eaSfG9dX70HFJO3HFRwrrFheVnwBQxbcs3KV7txAfBNT1aQuOcLRQj+N73cg1LrykBKpzrtxdjRcxMDxPjT7SdlzI5f0RqhRWSPKnLIBagyOcKNaSsYV6S2btCem8pr5fFv1hTRQPCaOgDDbjRsF3Bj8n48v/nDnfS6jgmkSNomp6wj6RXqIrBc8k54gsLF3zeG1iBq2RUaVmCmsWB6aa6MmVc0HFGUzdVs/WIz1LqI9NcFnlUZVV1l1I8fjrS7li6UFWlp1WXI9fHFvFxFiUB1ZsFiNoXF4d72Tvn+cRuDjNezu3ENZKHM438Judq6l92WDyQ4dYkuihLpBhd6mVk/8xh71NGh3vfEb5IW0daKfiaxH++pGFfHzRoCLRd21ppnW7zeTi0HlFW/XrOuOzYhQXmEhJt45HIA9520RGp8SNAsH5GUoHxahX+IFFmBEd5qXr5zNnXrdaV7rmcsP8fTzz4bm8pfqMKkKjeomL7tjFpB1UESa6G2J5oov4p4qUBQo+0i6K0VsadzH2kaNqbJtxxN5+/+LNGIun1cVF1yRlTPG+Ja+qvyVHbvXBcT4482U1UpSfuzE0php0OUZEc9R+Lj+j3FsNPKLn/D1TcxTZWooD5J4ii/ymYFpNWKS/0ulijRISZd0wjj9ZkGdbyphSPmvSbkaKMiwvQMn9782Cf9MXQrYXQPNvaq2Z4XSxWi32FiNHZWCSbZPCwbUqkFWeLbIgOG9D0sRCPl2sJqTZyjNDEq8HLWH4NzM0SJ9VwZAlTNpO5atpCwuVmuSanMjX0G8kqQ9mlE36pBfm5eFZdMaHaAyNM+5EKTdyHMvX8UTXfG7r2K2ywxxP59XRGQxkE9zR8bqYCTvCBfhbe9dTXpbj3e2vqeLqjWwrGzctYd4Fp7mxZo9CrX5+ahX57VXc9LZXqTUz9FvlmJqjxl45J6QKpEcGljH021Z2vm2QtzXtIasJ2e3vX11DwybIf/IAa5PCBK6nVMHx788lX6PRes8IYd9ZeNdIM9GvJPjd++v55PLn1GLcsncW5QcDDNw9SF1QfMazxUriD5eRrS8nd29IFW+bu2cw8+ECuxuauL1mO0eL9f+vcZrwASpieTrRQY/hyenDKaqXCJgOThjKzRxDdhlDVpkwWWu3QPeQFvdh3WJZqpu/XN/EyvajNAdHOVOqwvIM2i7u4mRnNdcEJ9SYb2G8l4MfqmNFalCNVnTN5e5VW9je2cbq8lMENZsxN0ZjaIwrH9oCoLricSfKbS27yHxdkHvH1WGe5+NXPql8V2R8xaJ4N4vu6laZZEK9ZKjDF/xNxw0z7kT5wEKpFgqTc0I0mOM0h9Os6Dwt3KFLVSSNvIDEE2dVcZ+xwwr6nxkdojU4wulijbruMkNOejP9j9Ea8mXgKaRDEklDmjCdlGNC5TGlC4dpSSKVKOOq2Ak2TswnapQESommrA+k0qvo+eRq/z1I9Zg45KfRkFN+KrpcD9L6QSrBBNlaWFcIFVNISaJloePquuKjZd0wY36xIZ2e5fd25UVcSdU5YbFDpTLO5lPMi/crFK/gBXhmYD4diVGWJ84oJKa3WM6fdy3nxmW7WR0/yZQb4nSxmt/uW0kgaPPAglfJOmFSgSm2pTs4sqmDReuPCYNWRKHwsxcuJTysc+NtrzIjPISDznMj8xj4txm8cK3Dx1Y/T8LIk7bjPLVjCa1/dXjtcxq31L5O2okzYsXxfl7DscY6Lrr3BK3BEbqtFC/3zGTmr0vsqGthSeKsQhQmBuOE+02yS8Mq7zGk25hTHmie4rTNDA9SXpMl05miNpQl6q+FpJFnZEOBeKKgmtGSF+CapkP84aPLuKrjiGr0KgJTbLj2dXouLaczMqiMSTsjgzgf3klLKK14WXGjwG0NrzPyyaMq1FYSnr++8M883bRY3eeiKxqDj176DNI/LucJFL4zMkjb/BFSxiQyxsnAY260n4QvVgCBooR0i7bwqFIV59yQb8RqqbWVdSLKe6w1NCLih3zaglBkhpVDu6QinGu7oBAp/4yThbWBq4pjucYANQaVkwKpTBPrXiOkTbu5C0GOUHzJ0GvpQSeNcNN2jP6SMNuU6yyql8jYUZ4YXkR7bPQ8Y+DDU/W82t3B3bNfI+dPMJJGjh+fWQ1Mo1b/p19v+oiNiF5UhncP96/gl1vXMmLF1SF1plTFX44s5qeb15G248rtdMQu49+fuZpvvXqlP5cW3dWBqSYe/ek6frr/QjUW6rfKebRnMS/801oe713IgJ1E10TA6fc2X872v1/J0VydGgvl3CDbfrGMl767WqE5lmewLd1B9u+b+MtrKwHUuO53e1bS8Hc6fz6z2O+gbUzdpueJNpLfTdBdSAGQMAr0Fsup/02IwsZq/3cITsGBdD0df8lx8Gy9gr5DusXYmQqq99qMWjGFmknpZdFXCxW8ADk3RHkwjxXV0PyfBfGQx5snGJ9p0BAeJ+tEKDdyJIwCQxfbTC3NK1i86Josq+rm+F0hLu08DvjuyJrFdSv2UvXWbjoiw8Jx1+9UK+/vYtEth0j6wX+WZ3DrjN3UffMUd895TZk3yo1GwLk+b8GJsCjew42feJFPrXgW1xP8HtfTuWfONt754LPMi/apRZw0cnz+osf50tq/KvLsoFVOe2iYL938MOtTRxiyhY1Bypjipro9fHLpcyT0gkI1onqR+zteYWVZl48ciiU2MzzIFdVH1PsCSOh5WkKj1AczlOl5TherydjCmG5ptAtTc9iXE/5T8nqbmq2QTblh5twgWTdynuGjLESk2/W5Hd+4E6XgmWqjz7lB+koVjNjCjFJu9pKTJRsHibBE9RKDVrnPhxLX2vICDPvyWPE+HXUvZFSJRFj+R6Qk40SoCIgOUXFmjKJCSrJuGNeXw5u6zZlStSKYy+dUxhZ0F1Jk7Kh6DyHdot8q59X0TEZsYetf8DvmZwbns2uiRV0fU3M4la/iB3svYdAqO+/3f2nPW/jlwVWqQTA1hx2ZNn796GXsyTb5111c4988fzG/e/RSxQ9LGHm2pTvY/U9L+e2RFQolLLomD794IV3fnM1AqQwZYdKVr6L0vXq2PLEYaQVgeQaPHV1E589K7E03+uMocciW7QwT2RZXRZCuuWStEGWnYCiXOC8Pyw27uCaEdFt9tvbYKEMrdGrrx9UYPaRbLFt0kjO3e3TGhyh4AtGqMicJ3jtA2w2nKLomw7YQDdw5cwexr/Xz9o5d543G3rnqNd5584tUmVmFkK9KnuLGBzZxR8frSNn7uBPlHTN2cv+tTzE/2qvQjoRR4JPLn+ODszcp5Zjg503ysYUbWRbvIuNE1WfpiAyzoeqQKEr9g9VBpy08QlVgQnHwJIooVaLyebHcAMN2GTOjg+p7ZbSFHBWdi7jKMyDtxM9bZwUvoOgIcv8z8EgYecqNHGeLlepMkUq2SUco+Qx/tG1qNv1WudqvJcInvbCkd5x83yNWYhr18a/HUKmMo7k6LC+gOIOWZ/DowBKeG5mnxq2iEYnxT29sYH+2CV3zyDkCXXxiYCG/fPIyTuRqKHii+NL9PVemAkhk3/IMnvvuWn7//EXCc85HUzcOzWb8Cy38aecKdU9M3ea5A/Np/nt4qn+BIo876OQOVvy/zvL/k683PSJU8Ew8L0BUL3HkUDMz/mSxa3YzVTWTahQROBSjbp9Nz6oKOkJDpC3BVSk/olFKmLhrdb+TsRi3IsQGXCaypvIfqgpkMXUXy9TwQKEDDjrh6jyZ9oQi0caNAlWBCSZW59EGQ4qMW3RNOhND/OmmVpbOP6UiIRx0ls/sYtdDLdzevN+f+Qtu0/Jb93NyQxWzowNYnsGglWRxrJuhzyboMCzFfQjrFtc1HGTPN5p4sOLkNM9Ic7h33SaG1iRYlTilunkA65yDSnavF5SfZt57+qk3x5UiquiafGDWZgqdIrxQqsPiRoGPrX3ODxnUFbK2ONbNvEv61EYuu+65sT4Wxbv9Q110GU3BNE01acK+ektyMOqD4+pAAkHcFhb8AmYVYyeRQm/iKq6Ig6Z8XRKaQOHkOE1tcm7ARwTEASr/TTpoy81Z8h7kRinVMhLxk8Rt6djdZ5UrroX8GekcDCJLSj6PBh4H8k1E9RL1wYzia6kix9XVvF6qVaQnzZgfcQA++dwvCmR3mLZjAr43BG9n0EoKgq0TUpuQlKFPOmGVCm3ggV9g7ZuqpyGUoT44TsbvYCedEEeytVxSeVzFa1iewa6xZoK6w5qUcNTOeQZnClU8fngh71q4Q6hefJ7Mb46upJg3uXfJVsVH2zHezu7n5jJ7vUg7T+hiRPTHzasJD+m86+0b1ThuU3oWPd/p5Om3FPnksucUJ+mnL6+j8SWo+EyeqsAkYc3mTKGS3LcbeWNRgFVvP62KvxeOzWHGd122/V07TQ0i2NTxdKKbBFrFQpQK6EwmReV+l94Ly1mS6FHkX93W0G1w/VFXSLdoiExwZJZORSKniPxJI0fDgkG6Y9VcFcyqIrA1MsJL75xkVtWI8icydYv7Fm7h8S8u5Orao/T5z2aVmeXCu3ZRHsj5CJQQQrylfh+9D3VTEcgx6sTJ2FFSgUk+vO45hW7LkX9LKM3Hbvyr+ll5yK9LHeeyVUfVCFMKJO5teXVaKekF/AagxJXVh85TZy6LnOGF7HySRl6M//0C3vIM9fypsab/N5rNNIcLDb5MfMK3bwirfbLgI31y36gJTCiUvyIwheWaVJtZuq2UWmdyjciRUdwoKGWopBRIZ+ywbjFsJwj7Bn85337E8oxprqYh0JysF57md7oBkoGcQkMHSxXYrq6y1+Te9OjgUlpiadrCo6pJGrLK+MvpRSyq6SdZnlN78LdOXU5fT4oHVm0i7n+tu5TiySdWE106yl0ztqt9/LcnVhD9axl195zm5tpdAsm0ozzx1zUkT7iYH91Bc1ggYkenGsh9q5G+GQF67jmjUKXtw23M/K7Di3fPo2VNWuRZBqY4drqOmc8UOLGymgWxPnTNJRWYUpzSnBtURbihuUw1aLjVRbW3mZrD7OQQz1/byPzZZ1QjZGoO1yw8wPMfn8NNlWcJ65bimV5z5U6++5X/9LH/v/x60xdCMb1IHsFveNuaHXQtTrE+dYScX61XBya45qbXcG7SmRft8+36Sxh6ges+tFnN5KVaaE35SRo/M05TcIykMaUUJLc2vUHxEzKBWqe/JCr5D8zbjD5fQKGu78GSc0N8ZOmLSoUk+T/zo710XjrImB1TERmWF+D66n3cVbeVE8W686DOObEBLkoeV7wkyz9kpRJHylgLruj+L6w4eR4yIEmZosOfjsoAzoNVAcacCI3BMdWpnffySayyk5TIjQU4Pofg3IBCSTKXhYwM2ZTky7QTwwJlnFc452elUqbeHKPgBUnbcarMrAgg1A0Fw0r5uKuJ4E/pvSR9XSwMEprYXAXHQp8O4/XANBxlXJZ1w4xYceqDwlq+r1SBi6bm7JJ4LZxsBblcdm3SfTfnBjlZrFZcIjk7H7NjTNoh2sKj6mDIOGH2TzQwJzFIra8wM/A4OFXP8Uw1NzXuUSPPnBvkVycuoCmZ4Zqag8R9LsmoFeOJbcu4dvUeFsR6FIft23tW4+UD3HfhJnUYvTI2k0OPz6Zxw1muqD2sCuCfblpH7KzBhttfoyMyDJ7O6xMtnP7X2Tx3hcuDazcS1oS3zuc3vo22x1z2/m2BYkwcGMfztYz/RwvZZp0Vd3Up3sGzp+Yy47suG780mw+1v0S3lRJ8jR0J4qMeLIFac5w9U60M5hNUHHVJXxhVB1vCKKA5oLlg6tPeTBXBHAc7dOqqMqpTDusWrXMH6DLqWG0KX6RyI0elOUXpfWnaIzlOFqpZEhNqyJvm7uW1L7WxrlKYlAp+0RRr73mDWEBs7nKN3N22jTc+0cbM6JA6AHXN5T3XvcDccC8DdjlHc3VUBbLMjg4w846n1JjL9Ene72rZDi3TnCaJTn5p4ROcKNSpdeP4/JX3tW0m48QUqmVqDoti3WpdSpVgUzCtimjXL2YlumcaDo7nCxV8hE6qIvHXna65zAn3sL/QxJBTRr05rkYoBS+oRB/CkdpWmXy1ZoaME6XgmgzYSZIBkSzv+OPLMSdGS3BErXdZcMsGYPicCA6JcIZ9l2PX01VBINdX0TWZH+nhWKGeciPH9lwHDpoa3Ri4jNgJXh9vYWGyj7hRIO7zvA5ONbKlt52b2/eSCkwR9ikK/7L/cgzD5YE5ryo5fkVgin/93U3ELxjhne07lNXFvx9cR2h7nLYbT3GpHxUxZJfxzM8vxDPg9rs3+nFLAV4bb2fqiw08cXM7X7/mdwxa5eiayy+3rmX2T/P0fK0cKxlQ+3v+sVoaRj1yK4PKG224FKfygENffRnmTEc1X7ruImmBjieUa1GjSGlGnnQ4TMSwVAG8NN7FkzcuJFaeUXtwdSDLFXVH+OsXFnJp5WmiRpF18SN0mBN8v/xiut6v84nG18k4EUwc1WyCKHRSgSkKXoCKwBR33rJRPSvSqLg9Msx7r3lBNXAGHuVGjrnRftoXDRPVS1Qak/RZFaTtGC3hkf/1w/5/4/WmL4SkWVbGidIZGWROpF8RzBKGsHafF+1TmTZK4u2PthJ6XnUSkpchnaYLXpCCZ1KuC36AzIgB1CEjZe2y0865Qka9L9dMTXBCFRoFzyRdkr4LJWSuV8ELoLshpWgTfjFCgnousVRyD4DzuCkm0/43kiMhuSPyoMg406MuyxNGe6ZmY2mGeh/yfUrCnFxAlmeA5qKDWpSSuCx/p9xYo3qJmF7kRKFWKbvKjRxTbois794rCanTf8ul3ypHx1PxBwdzjeJ3+jwMcT1Ed9JdSNEcTov5to+wbJuYAcCieI+CqQ/lGtg53MJFtadEfpMTx3IDvDQ8i3Quwu3tbwiVnyYyxX73xgXM7ujnpro9JAO587gfrk8o7rfKiRsFvr/xSryQy3su3Cyuk+bw574ljP+lkZq3iWLDQWd/tolXNy4kMqBx230baQ2N0FNKsXu8mfGvt/CbW9v42Krn1d95cctCWp61OfbVOppCY6QCk4LU/ssyumZX4LzrEAm9SL9XzsauWcx4uMT29laWzuiaLrgPhwlmPNwLNYXgjRWjRAc98rapwmxdT8cLuthRgwozp8zwakMT7FyiU9cyQs4NinBfJ8zsOb0cNRpYGx4XRHfNo9KcovDOMRrjkySNvBiDBizunvMaD39uKTfUH/FN6WwSgQKX3y78nuTorS08QkXdFCOfPqvGg/L5e/CqZxR5VETeBFgU72HBu/qQER0gDoWbG/ZgNtpKQTVoJakys9zX/qoK1BVrKcDCWA8dkWGF5Ej0ZkFsOppB5tllnChzY/3/Q4yGxZgX40C+mY7QEJ2RQcXxEF5TAbU25fs0NJekkVPvQ5BIY6rATxgFHB+tORelc71pHx25vuQaTDsxteZFwTMta5fohBxFTEv5A2r/MjWHk6Uan8Ml9oCkIdCsjCtQRtkMyPHn0Vwt2VBYGZ92larYn20E4IrUIdXQnC1V8cdTS1nXdILOyBCGJoxEH+9fSPdwBbfN3UVNcAJptSH2NIFIyrXwSM8Sio/UUnF7D2+r30WV76323FMriHfDrQ+9oHg4fcVyxr7Wym/Xz+STNzymfsfTB+bT+SObZ74wl3e3vqYCqRNPx3FCkO0M0xAcI2NFeWZwPg1bipxqTBKdUSKo2Uy5IWzLIDXgEjYsGswxJtyIcAtvlTYNLqnAJAXXpC48wc47TNYuOkJXqQoQ/L01i46z+1NN3FZ7XO3fWTfM8rv3kbVDKgHBwmBlWRe1n80SNcSYuYgoCO+f9SrFT5kK1a3ww5k/suxFnGUaMscu54gA6s+veYI6c5xnxxfSHE6LUbmR570dW8g4EWoDGcr1PF8buJIFdf2sTx0RobeauIdZJ+yP7843MjXwFLFejpd1zVOu9bJgzrlBQv5oVwqSTti1ogg2DPLu/02f/y99hXWLSS+uigZ5YIZ8gzBAEY0lGS/mJ8XL8YV0Lc1Y07LvRlNIkuVMPebPe03NIajZCtqXmS8wLfvenWsV4xm9cN6/J3zIVn6vrrkkjbyCZ02kwdd0NyiLpbBuMT/Uw5OZJeiaR605IYoZDDVaSdsxas0J9bOmbtFnldNdSNEZGcLUHWVweCRfz1AhwSUVx9T7GbESbByaTVs8zbKyLkVQHSqV8UTXfK5pPUx7aFh17k8OLCRnmbyjZSeu36X0l8r53f4VzGwY5q31u9ERHeufziwh/3olS686rAjQOSfE9zdeiZHXeMc1wlUibccpugGe//ZaMhtyfHjxi6rL/sHm9aR26Vz+oW3MCA8J191Cit3fXUK2XWPRbT2EdIuawATfOnMZjf9i8tyn5tDeOawWcN/GZsqPO3R/OsWK+GkG7SRn8xW0/RGOX9NMofaguh5hvaCKyqwbViOA8LCOHdWU947lGQR0sVGEArYiL69KnuKlpllYZdOJ17VmhgXJPn57TRuzWnsVryyqF1m16ijba9pY68cSFF0R1Bt4/wDL42M0mGOM+4qTB+e+zOavz+LC+JCyK6gKZLnh7a8qI75h3836hrp9pIFxlVYAAQAASURBVD96UlkomJpDUzDNg2s3qr8vozFmRwfoeOsTQinlxJT8/Ka6PeBnd4EoYk3d5oOdm3zuWVGROttDQ9zZsYOUMak4XmHdUiHCfaUKooGigs9nhQeUBFxaQoR0C/RpwrWUr8soAhkFINeRg44u+Rv+PTF8DlNQsykRIGNHphsIH50ruCbRgPh9p4vVmJqjvMNkfps8DGRRHNVLzAwN8EaunYrAFAmjQMLI01eqUOtcNByWCmYF4RIt/623VEHSyJMKTFJu5DhcaPALTFd11RlHHLp7s82kzCmaw2k19iy6Jn/oXsJldcepD2aoMzOcnqxmy2AHuZLJHR2vK+l12o7xyxcvYeGy01xedUSMPoxJvn7garx9ZVx742sq72zQKuOZX15Itt0RmWCajeWG+MWJVVT8KE7Xx/vYUHNY7QEHfz2P0IRL5yeHqDKzVAWy/LFvOTX/HObJ+xfwwJLNQoLvmfRva6B1U4mer5arZlOKAwBVFEnVpDklolfO3UOLjRaeJv6//Hp1MEvXDQYNMwbVoV1u5LhuwQGee3AOt9UfQ8beNAXTzL7vMK6nCdWsv6ffXL+bN/6hlbcnugT3ximjIjDFJ5c9x+BCUVhL7l1UL/GRq55Wa0nG73RGhvj8ur+SdcMqtqXfKufqyv1sqDxIwee6yWnAoniPKlQL/rNdEZiiJZRWKJ4swlVIt++9ZHkGOW/a0LHgmYQ0h0kvrBq2hBvymxxPTRRCWCT0AkfyDRzMN9EcHuOaiv2UPIOuUhUyiiasW4pH6Xoap4vVapRZdE2igRIzw4M4nmjAhHeQUI02myL2R3LcTherSQWmBJrvTxBK/xtn/n/m9aYnSxd80l7YRx+O52tVMSODBgVhM0p/qVz9jINGxo4yYiXot8op971zTM1h2/gMXpmYRdwoUG7kmHTCpO0429Id9BbL/Qc6qIz3vnfiEvpL5eqhrTUn2DQyi28euFJEXfgITMaJ8IO9l/DI2aVCsaRZjNkxjuXq+OFTG9g82jlNltYc/nBqGf/+8Fs4kRMF2cFiE3GjyO9eXMu//+VaMk6UZjNN0TV5I9PCxu+u4TtbLydp5IjqYmP72ZE17P3yUp4YWEhYKymI/ZknV9L1rdmcLVYCokPclWnG+k4dL+6eB6Cg9j8cWE7Nv0XYMdLq59iIw/Dk4QaG99Qqt+WoXmKwWEZsd4RjZ2sVZFzwAmQmotTstnHR6CpVY7kBUoEpAjmN0Ljmd7fTh0a+RiMcKRHWLBJGnlozQ7IpQ2Y2qjOO6iXKAgXSGwpElomNNeNEmHDCXN56jJPv17im5ZAi9kb1EkuvP0T0gT5qggKeNzWHGdERKv6mi3vWv+xLgIUiQpI0pbzVQSNlTHHzLa9w3w3PKa5Y3Chwe8NO1r/nNS6uPE7Mt9sfsRJ8fOXz/N2GP/mjPGGh3x4a5qOXP8PbGnYJuwYfrbg0dZRPL3+W+uC4csetDmR5S/1+Lio/wbifyF0fFI7ZGyoP0hgc8ztrce0qzCnqgyIrS87jHTTFuZIbrOSROYics6SRV5938pxQx5hepN8qVyPihN8A5JyQQiZShgizlAVLn1WBlDBL+XfajpMKTFIdEIV62o6r6yfRDV1z/SJEO2/UKl8GnnImlsU/iKJ10gmrUW9TME3GjnK6WE2DOU7BNZXazEFk+EmvnSo/G27LRCdjVvQ8blZvsYKnhxaIjD+fmK1rLk8OLOC7Z9dTY05QHciScSJsm5jBj7au47i/VuWm/5MDF/Kj5y5XCJap2fSXkvzll+v4912XknXD9FnTthtyzJrQ8+j+eGL/jxfw/G9Xq2viejq/On4Bia8m2DQ4k5BuMWoLgUj+z7UEH67wSfli+9+ebqPj0SJ7TzXhoE2j1AMxUkdcJuyIaroMXDwNvLCrno+QbjG3epDhRSZV4Sm/gRP7pXb1KJkbp5iww35ki86qyjMMfKzIW+buV89BZ2iAFVccxv3MCBeVn1C+aPLzTJPyxb28rO4Y93/xz1xXd0A9tzG9yKfXPM37b35acQYNXJqCaT512RPc3LRHjTCzToSl8S4+vPhFmoJpde9H7AQXlR/nuqp9uJ5OuZFjxIqTc4MsjZ89r1BeGRFGmsenaoj5jtPnGqJmbJGB2Fus4GSxVn2GsGYxMyxsJZJGnp5SpYrCkQX4uc+0lLcnjZwqcuS1GbESJA3BKxo5Z82IUfh0BI0s1GUhb3kG+3ItzI/0kApMciovvNZOFmrIumHawiPK3mRvroWdkx3q/cnX8Xwtm8dmkXOFsjhuFEgZk+wYa+NUvppyX415tphi/1QT39uynsd7FzHqG/1G9SI7Mm38+ZGLeW5oLiHdUnvpLw+v+v84zf/Pvd70iJCueXiaS1RzeHxkMcd+NZvKWwWcKqr3Iv+4/WpqXgoy7wMHaAqm/Sra5qePXEVkyOPq922hu1Qp0A+rjGM/mMueeo26dz1LWLOpCEzx1NBCsn/bxF/e2sZH1z8jHgLX5Ke7L2TWv1s8+eX53N/xCoYuZtYnX2qnfluJgb8vU6nHI1acqqdCjM8Ok/MzupJGjkNj82naaHGwtZ7L/Dl0TynOxGiMhkMu9tWGzy2JCMVBSSMwpak5fdwoUBee4HCFhpkoqZFY2o7Tkhqja0UZK6MTDNpJRQ4OLRqnrzFG3CiqzmN+WT97bmvmmlmHSeh53wupwPpZx3j1gx3cWXtEzaEtz+BtF+5QXA05jlyeOIN7m0Z7dES4uPpdwRdWPMnBeY3Mj/ZyuljNjNAgGSfGe65/Qcg2jUnh7WIUmRfto/mup+gtVqjDWddcPjr7Bc62Vykfo5SRJ6NF+dSyZ5l0wkoxNuiPQxcs71UFhTwkLyo/TjQleFwy/6s+OE599biS6criTSJ2/aVyVUhIDx753zLE1kGjLpQhrNmMOnEfUfILcp/ILYsHqUwJIUN+C8pjRqrsJr2wT+TVFM8ipFsKrs64QRw/C0kebLIYkbynczlgRZ+vYXge1YEsPSWhRHQ9XRHVzx0BSUfirM9pkYih4IQ4mLqtNt+eUqX6DAm9wNlSJZN2iOZwWv39sF5k31Qz+6aamRvtV8joUKmMN9ItrK46TVVgUknbH+1fzFQpyH3tr6qCvLdYwWM7lrF4XhdXVh9SyNtPjl1I4ViSh65/ihEr4RfgBo/95mJ+tzjPx5a94G/MJb6+82rqnwjS+NBxrqgUyEDGibDz+0spVGrc8q6XaQ2JZ/fpE/No/n6Apz4T4a7W19QhPfHbRnQLip8+RF1onNPFavaONDLz1yU2x2ayYvkZhSBrJ6PU7vOYvCzkO94HSQbyBMc9vJKuivqCZ6oRguUZZN0Ipi6SwUfXlgiEHHWIxI0CaxrPsPH+2dxae0p8BjcmFIrvOIOueaQCU9QFMhwt1LOu6jhvfK3IXYkBVViO2GU8dNmz9K8tZ0ZYGBxOOmGqzEnufc9TChmQ4dIXVxxn6Tu6hYO/j2AljTwPzXoJgJ5SSjWI86O9tM0ZUUhGWC/Sa6VYkTzDhpQvQ3dF8Su9juSaC2kOpo8ISrqAfI6lcZ8oJjTF5QJBRxB7rIiNGLOF1URMLzLlhnD8etrxdNqCI+zKtTFkJYhGi7SERgW9QHeUua6uuWyamkPSyHNR+XEcf+TuuJpSdLpotIZGFE9TjB5FcQUohFTmsEnTXVkwDVplGH7xL1GYtB3nRL6GiF5CD7lKsGDgsTPdyslQNWvKTyr18/PD8zk1Wsl17QfV+HXESvDj3WtBg+iSEg3BMS5InGTvVAsv/Go1uQtyvG/RK4IioVv85vQKwr+sQHvPMLc07xLNoObw1xdW0fiyDV9AZd+FdYu+X7VzsqaDzncJvuuUHeJAuo6Zv7LouraOXGMQdFEQnhqvpH5rkdMLKjHqXEWG9/57bYTe/IXQuB2l3ZjERefYaDVGEYq2+NhyVh6MWhQq/HllYJJhP6+n0FrCipvUBCdEt+erQobXOJjlBUUqjVJkbeUJvnd7C7Nn9ggo3q/qL5t9jC2fbOfGhuOKj9AUTLP6mv2cXlvJ7OgABU+onhpDLi3vP87qyLRSqNlMc1ntMU5+Oc3V8X5SgUmVyn3fylcYXRJjcewsWTfi83UcPvCWp5XLqzy864IT3PPuZ3yzxShpR3R+b6nbR+z2necgABomLu/t3Io5a9prIhWYpD00zBeXP64qfV0TXj9N4TE+NP9lYDqQ0NRsaoITarQX9eHZnBtiSaIbGach4eOSF2BGeIhxJ0p7aJi0Ez/P8G3ELvNdnT0xdzcmITR9D03NYdBO0hRMKz+acSeqstKkL8m5I8WcYyrCuuRSuOhYnuhSHZ/7Y3mGilMp0/N0+T5CMjgwahT950YYFMoNHhCbrE8ozblB0GTuVxFH01Vh5noCecm6YZJ6nhxBxYeRyiHLM0SafSCnvEQGfUt62QFPEhacKU/nWL6aRbFufyQqPJi2jnWQMItclDwujMw0i/25Jl4bbOP6pgNUBKbo80mcT/YtJJMPc+eMHaq77C1W8PvNFzJrYTdX1x4UhYwLPzm6BvtQGddfu52FsR4sz+BMsYKNv7+AqTaHD617Xiknf3d4ObUPR+j66EkurDhFSLfoKaXY/qOl2BGNpvds9NGhLP+850ra/93jhS8Gub35DYWIjD3SSGTEZfALSeWNsn+sgc5fFtl3fxO31r3OoCVsLArHktS87nLmikoaQ4LDdDRXR3jUY3JSkMgN3SWo2YSjJaZqw9SFJwhqNn1WBVG9xMgFDnrcIhWYYsrvsC9qPcWL75rDO+uOE/TjKkK6Rez2fkxDdM6HCk3UmBO8s3UnT/ztQu6qEs6/h/MNpAJTfOitT3H0qjpmhIfU/a4xJ7juoc0q8ytHEB2U87rrE4+lI/onVj2HqTmKdGx5BjOjQyxa3qPWpPzet9buRjpBT7lB5V20svwMrcERDuab1MEb1UssinbT52ffAYrIK1FfmOYGxg3BqduXb1YNVdaJKCRvRnCIQ+NLlCO8EnN4Jnj4zVxMIeRZO46p26KZwlZIiCz6XU+n4ITVOFGiNdXGpOLgADSExqgxsmzNziSk22pEJ6cAYo/w1H6zK9eG5Qn/IZm3Z2oOh3INRAxLuf8XvADH87V05VJcVXmQ4/laqkzhFbdzrBVd83hb6xvENJudhWaeGF3M1p1zSLaNs6HlCDPCQ0w6YTaPdnL8mRm0bjjDNTUHlangb1+5kLJjBrfdt1F5dHUVKtn1b0sYWaJx91UvkfM5md89uo76b5js/oTNsrKzFH36xJEt7bQ+XeD0P1Qq2sKkE6JyUwjPAGuxQcn/3v5Ckli/y8TEtHGi5RnEghaTlTo1waLabwEqFozQq1WxMjx9XlmeQfiWQerCefXzqeAUq2q62P43rdxYu1c0Q8VK5kT6uLV1F8f+vo5bE2dEYegGaA2N8MEFm/jEf/LM/8+83vSFUGVgkn5/M7trxnZyHxWyahlFEdYsHlr4EsZCMTqQJnH15hgfXvUCKWNSkOjOIbd9ft1fp+Mu3ACOodNgjvOJi56hOjBBV6kKVxMV+cqy08yf16fmqTk3SI4g68qPsiYZUIeYlKBeXHFCbYguHn1WBVVmlqbytBqTyG45FZgkFZhUD6ZUXCX0AmHDUr9TogoJI8+4zxeRLtRyYwMU1yasW2TtsHL6FNwlk4RW8A3CcmqsMVxKUBbIkwyIaAR0lKeKHJ2MWAkwxKJIGnnK9DzDdpk64OV7lBJfyc8SpOQAOiIk8pjvAHyuT47ksMS1AmHNZtxHiGQ4otxspSRejGdsNYaK+uNLaaB4ulhN3jFZGOtRB3fBMzk2VUt9WEjGpYLjZKGGI9la1qRO+TwAsSE/3r+I6sgka8tPqsLreL6G50/P4fZZbyhuSkIv8P2jl1AqGXxg4WZybojaQIb9uWYef2I1dav7ubXpDYXw/PTwhbhH4lxz7U4WRnuwMDhbTLHxR6sZW+Tw4MUv+AeQx4/3r6Xx1yanPlHJzfW7CfrKmxN/nEUw41H/kQyzIgPouGw8O4v6b5g8/Oml3Nu5TSEpmb82EB1yyf5NWGXlHZqop+PREkfDDVxXe8B3s7bJ9ySo3+fiXCvGDuJgLBLIg1aaJukC1FVkybTGmWkWFY+qysySXmmjhRwagmMMWkmybpjrZh/gr+9bzA3VZ9XYxkEjeXOfuM8+YpkypnhL/T6e+dp8bq/oZsq3ZjA1h3ddvYmJK8K0hUfVuKw5nOat/w97/x0e91nne+Ovb5uq0UijXm1ZtuUet9hxix0nTieVkEYgECAQCCTUZeHQ27K7HFgCBMJmgUAChBLSm53EduzYjnuVe5HV22g0o5n5tueP+3vfsnfPc86z57eH6/dwPXNdey2RR9Jo5i6fz/vzLg+sU98v99AHpm2CaQTRGiOcKlQSMwrct3zteT5ILhrzS08xf6ngjAy7MbV/7m7epPiHErGIaDZX1BwIuExhdSn12EnaYt3A+JgvpDlMjXTj+hrHCkJYUJB8JaOA7ZlqNJkPQoNtUJwoN5CqS8Qm40ZYWXKQjdk2DudqWVZ6hLQbPQ8BlqKKcFDwysJKEpall864RUQoQKBMxZWyfUOZIEr7iIJvYQfP3ZJrpSkySJWZ4XC+VnG95LilP1B7dhWTVIdGmBDup9MWyjtd85kY6RfyfD+C5YvRijwPJaL32sBUTqXLuapJ8BUzXoSDYw187q1lpOrTvL91M7ZvENId1g9M4dizrUy45gRXVB0gaYrR3SPbVkBB54PL31BBqO25Wt7+wTx6L4SPX/aiWM84/Gn/XFp/4vHTL6S4uXkXNVaaYTfGqWdbSJzx6P5mglZriD6nlGPpCib9uUjnihRGs6coA52jpVTttulZWoJe4ymOqh/y0DyD7mIpbbFuSrQ8dtjglTkaoZYMzYGpKWaORXWnee3dM7mkYT8xvaDe/2Wr97F7Vj2XlHaoUNpKa5S59+4BUO7kABeXH6bhc8OUBzYABh62F+aa+n3oH9uj7lRZhN7X+gY9zUmV1SfvrJsad6mRp+vrig/b3DRIY0igayOO9FLLM7PkrFrPEcOhx04S0sbzGP8aj7/5QkhcsFFKwnksPAzDFxDrOcWAzMeRyEKNlVZEUg+dHruMektA3GkC4lfQoQsyY5Y9uWYaQ4MMu3HFkM84cSaE+5kY6md9po1Ka5R6a4h9Y43k3DCTI92kgwPT9kwIDiU5LnDRqLeG6SimKGhCkiwPZkm0luiD6+sUdDu4jE0l7ZeHs0RFdDxOFKopGJaCkSURttIc4VihhqQhssq8wL9EZiX1OQnSTgyZD+X6OlPj3dieiPywLFe9bjkqkZtMRn0MOXHWZ6YyJd7LhHC/8h06Xahg73A9l1S1qzDImF7gud7Z2J7BdbV71Od0ZKyGPx2Yy6rJR7iw9ESwMTUeP72Q7tMp7lu2TpFZe+1SHn/pYoyJo3x05nqlvHu6cw7Dz9Yz8WbhT2NpDoNunN+/sJxIn0b1+15Rs/S3hidx9p+msO4Kn89d/JzyQPrtpiVM/IvL4a/nmBrvJmmMcTJfSeEndRyYaLDiniMUPKHSeOnYdJofMlj7xTZuaNitDo/QK6XEcpCeHiNlZrF9kxPZCuo32pxqKcdo9FQBmR+OkOzTArJokNEVHsIu0SDiKidYz9dorh6k88JGLk30K4WLpbnklmTJ+hqV1qgKoL2+ZS+/u38B7520EwPhrZQ0cky45RhFz6At0hV40URYVdnO7m/nWBPvVhLulDnKXas2MLo8LFx8A+5JpZXh5g+tUyRfGZB7U+NO+MBOpRi0fSHdvn/JWkqMvHqtMV2MQRsWDiklo9wvtwehwHLvSf7R5dUHhVGoE1eFS8rMqrgYSWwWhPABoRYMLvNzozEKnsWBfAMJIx9wDPMqp0sWWHKPyCI75wdeTHLMGKg3JXk071mkQqP02El67CQpc5S60HCQjC7I2JVmhohmc8ZOkTKyJI0xkdmn2wrV63LLSGo54noB3QuTdmIqHsTQXCxkPllCBG0Ce/NNhHWbxvAQnYF7vHztOS9Eb7GUISNOc0hw6TJehK5ikhPZCpaWH1ccLds32DQ0Cc/XhK9TQALvLZby+4PzWdpynOVlRwlpDj1Okj+cmsfAiXJuW76ZhvAQnq9zcKyePz25Am1+mnvaNkPwWn5z4EJK18aY98E9lFsCmUw7MdY9ehFuBO68W+xJ+RnpQbCnHCUB7F8/maZXCxz+RjUt4b7AJiRMwys66YmVeJP0wJvIom8sTuWeIscXVxCrGeckmVEHbyRCr51gbmiIom9SFcowPFXDqhWZbDK65LK2Q7xy2xzWVB2m0syQDwwPJ1x7guF8lJwf5s2xieR9kwWVHbz9WY05yZNUh8Yv+lsm7ODM11I0hIfFex+s8c9f/By9S0pVTIdE0j567QsKDU6ZWRLGGLMTHcxddUadbzoeQ06cCxJnWJI8xqgbCexHxFRiWfIIw4EiUiJs+Kb6jEScja4aOflz5TTCRUMPimwBKARu8IZLJkDp5N5LmaMMB4IPocz2aYt1q5G5EA446u5wOX+s+dd4/KfJ0uvXr+cd73gH9fX1aJrGU089dd6/+77PV77yFerr64lGo6xatYr9+/ef95xCocD9999PZWUl8Xic6667jo6OjvOeMzQ0xF133UUymSSZTHLXXXcxPDz8n/4DHd+kLpRWqIfsxJMBOiIPtLheIBO4h/Y5CeE1YowGfjfiIqm2xIhMSl6l623GjVIXGlaQszzYU0Eg4tu5FhrCQySNHCNeVHnDHM3XKg8dIQPXOTJWE8gOBSE6E8hlT+YrFEQtC6XjY1U80zWHxpBIJpa5LS/0zuS3XYuI6QWShigejuWr+eKO63ljeJpKtwd4pX86P3n9MvZkm8j7Ihsn40X5yY6V/HD9ZYFcX2yIw7lannxiFT86slJ5kzRZg/zq0CKe/8HFbB5uxQqg2lE3wlNPrODxR9eoz0JIxhvo+OYUfrF5uZrxA/x+yyKcL1SxYWCK8jPJeBEGHp3A8K8blZTe8zX2p+uY+KjOugPTFJHd9k0GdlXT8LLO0dx49MNAsYTKXT7+4RLyvkmpLpRdmUKIeLdHuig8kSSC5cR8nDjqIjPwaIgM0zdPp6Z5UHGSUuYojZN7OXmtQU14RPESqkMjpN+doeqqjnO6ZoNrJ+9j9O9HuLS2XR0qEc1m3nv3MvMjgpuW9036nQSXVLQz61u7eWD+OuU46/kaH1y8nnd+YB0N4SFVQEY0m9vvWssXL3ruHLRC567Gt/jYrc8wp0RkI8lD/r45b/DRC15XxaquedRYIzwwd62SQsvPZFVlOzfU7qLbSWLgUWlmiOkisLTSzJB2YmTcCEXfpNIcZUq0BxAETqmgKjezwk7BTqiCQR60MnhW18YDdWHcbiHtxhQPTXCyZLaXKIhyXohOu5ykmUO6WMuiX5rmyZ8vv0+u+7QTI+NFz3PEBYI1pqvnS0RHenWNW1joyGidnBtW+YMxvcigG1emgiCCVYecOENOjM5iOeWmUP31Own67QRb0i102mWUm1nyvkCXtg1PZFN6svqbLM1lX7aRhw6twvYMpoU7OZqvYciJ8+SJeTy8d4VCimN6gd2ZJh5/ZiWv9E8PigVx1D+ybQW/+M0V9BZLVUFxYqyK1394Eb/atAxDExFC08Jd/GHrhQx9ZQIv9cwQY8PgsjvzyBROPjGZXrtUjc039rYy+XsObx4TVhXZwINpZHcFTS/5FDxTmSaezZdRetIjNxRV/kJh3UY3PPCh4BnqjK60MqSnu2SmOGovyfcjHSCPklBsaQ7XXf0WXfcXmBzvC/a1JzhJn2xn0Tv3nBf/ckfzNmZ/czefmvkqgIoX+vgFr/Ge1etpDg/SWRQxHZVWho/e/Dw/WPA76q0hThdSDDlxlpUe4bOXPcuseKcygo3pRa6oOsCtTdt5YWg2HcUKEaQayvCVqc+wJnUAmXZgB6G2s+Jnz3OP1zUxqq2zhpWbtBQViOe4aq9kg9GnFBFk3AgGXhCVI7ij0oRSNgISwZT3ifzf8vvl65A8VekAf66ydDAgPUsOqXTDPrdolpmc8g46UagiookJQMwokHajAdczqsRLCT1PTzH5f3el/x95/KcLoWw2ywUXXMBDDz30P/z37373u3zve9/joYceYtu2bdTW1rJmzRoymYx6zgMPPMCf//xnfvvb37Jx40ZGR0e59tprcd1xRvodd9zBrl27ePHFF3nxxRfZtWsXd9111//Gn4gimh0Zq+FPHfM4XahABlSWGHk2DE3hHw+vUXLdmF5Ex+P7xy7lX/ctJRIcfnLM8vCbl/DdfZcrsqylOezKNPOjx9/BU2fnEg94J2Hd5o+n5/KHR1bz5tDk8zJhHn3lEp58+FK6iklBgNVtjuWr2PQvF/LEumUKxsz7Fk93zGb/Z+fw8/3LFAKV88I888pitG9W8sLAbHUpZtwIA/82gf5fTKCjmCLtxjHwaM/UMPFfNN7YMFst0BIjz96jjUz9ZY6ToynFc8h5IeJ7I1RtNYLcGHGBjbkWyeMeQwNiM0p1kWW56A44ga+J9EXJV3vkakTXJrlKdZE0nctNapoH1YjL0lwunHWMo3dGmFXaiczBAbDu7CF0a4+C4V10rqreT+GzQ9x0wQ6qrZEgg8fj8st2MOUzB5hTIorqiFakNpxm8afe5v3Xv0rSGFMkznsnb2Tl5zdxe+M2ofAIxogfv+xFPnDri+pCs32TSdE+PnnLX/jwpPWqg3Z9nVub3ubv1jxDS7gvOHAEOfkz01/mmtp9JAJ5fc4LMynax70tGxSZWcaWXFh6gkvKDgbfO37xTon2KhkzCJ6HdF6V75l8xAwhTRcEceEt5AbFxpATJxOQKWUnKw89XfPUa5ThvxLBk7wSyb1w0QMvomjAjxAmnZVWhq5imZLHy9cDQn2Z0MX+MILPWsRtaOOda9BQ2J7JpLDgTOTcsCJ5Sw5JQs8rVadcN5ITI59n4NNjl2L7Jr12KTVmmrwnAoQPZuvPK3gius3a/mlsTrfi+TopQ/Bido4284uji+mxS9XFomsevzxxET8/tJR+O6Euh+2Zifzs2cvZk2lQYy3P1/jxW5fwiz+uUcWqrvkczVXz2o8u4pHty1Vgckwv8shbF3Pm21PZNjxRfW1ftpGuf57M27+bg6W5TI50o2seLx+dRuO3dZ49NZNDhXol7OClFKlno+eYbIbpzCap2+RwrL9CoT8JPY8xbBLt97H08ZT6hJknX6VhlIpLaGqkSzRvE/s5c1mI5pIhxfWpsUbI3zRM8qZOxf+L6DbvaNjDwFeK3D/vNQqexdlCOTG9wLVXbqHp7w8zI9apRvuLS4+z+tObuO+i1wJOnVh3H525nlseeJWVZYeDNSjO4y9d9mc+ffELih8mL1pAiRbk+dAcHuT+6a9TbmUVYp71wlxSfoj5paeED1PgtQMwK34WGRJcZw1zulihCgZdE670sqh10ThUqGPfWCPVimcUVz9LImwS1QjrNvXhNI2hARFfY2XodpJqT0lHZvnfsri2fVMo7IIGVJGtPVOpoHtsYfxbHiB+aTcaFOQmlVZGcbhcNPrthNrzUo4/5MRVMyG/ZmkO29PNIkA72M8RzeZYvponji9koFhCwhhT3NiNg5P5xfalnC2Uq6aq30nw6N6l/ODNNQLJ1ByqzBGOj1Xx8mNL+P1bi8h4UfUevzXYwvZvLuDRHcuUgbDtmzx1dPZ/9pr//+nxnx6NXXXVVVx11VX/w3/zfZ/vf//7fOELX+Cmm24C4Je//CU1NTU8/vjj3HvvvaTTaf71X/+Vxx57jMsuuwyAX//61zQ1NfHqq69yxRVXcPDgQV588UXeeustFi8WMrpHHnmEJUuW0N7eTltb23/43YVCgUJh3NZ7ZESgLuXmKCNeBTkvxF/a59D6fZc/f+YCPjbzdVUd79jQRstTWd7+VjM31QlouN8ppfhMFbWdLvvbGpgbP03GjXAkV0/TizA0tRRmiIPPxuRsLkn1dptTTVW4Tbqao49kI1R2uQwWYirAUtc83LgHuk7MKJLzwsLF1hwjPRn0WiHRTRh5bMekuXSI3ZdU0VrdBYg4hoQxxqRFp2lPNrCqpJuUkVWXk3lHD2NFwbuQB8aKiiP88YslrEgdV10zwJ0LtrDrHxu5qnofRV9stPrQEFffsYkx16I10quIesuTR6j7fJqkORbwCsTm+dDUN0l/WoSEyoMn54X42JUvKg6SRFJmx84w88azwjguuDjD2CwtP8Zlqw8K+NUtUVyhD0zceF4kCIgC7Nam7epCLPjiAmiLdSskZ9SNkNPESK/aGmHIieP5494+Qho9qgpIcRBpasTh+TpJY0xdWnXWEP1OKYByujXwKfw7rlLet8BDjVpsX1j/DwXRFnXWMF1B9w8CiTpdrFTyXSBQjoiiMq4XVDcnC2N56RY8i4gRKMv0PJ6mqwNXjqGk3PtcQqssIM7t5qT5mdwTMkcsEciY5XMtzaU9V0tVKKMiHZJmji67jEOjtVxQekYFliaMPL/vvpBSK8+ishPE9KK6VCR3RToPR3Sbfzh6BT29ST6y4A1AHNoHs3W88docpi05ETj3ChXVw29fTOxwmHfe9oZyR9+fbWDbT+bRv8ThXQu3UW1m6HGSPLJlBRP+qNH/hWOsTh0SxNBCip6HWjnWoLP4g8dxEYXVxjOTaPq2xnP/bSbvnfyWclt3nq0kOexjfX5c3nxgqIbG1x32t9WyrOyYIrmaAxaxLl8VCZ6vEdYdnLiGFXHU/nPRqGkcontRFasS3cE+iTI93skLN82gunJEJdvH9CJ3ztjGbz61kKubjqhzLqYXmX7nQcKGQA9kbMa1tXs59vXuIOHeVEXtJ658gZ5LSxXPzQr4SMl3r1XxEv1OgjprmA9NXE+mORrYg8RVNt2Hpm5UarFkMN5MGmPcPvFtmqxBBtySgA8pRqVToj2qKAGBplqaS5ddhq0bal1J2b1UmHq+zqgnfKoims2gF1d/t+RFSRWk5KjIcW2VmVFZX5ZeVM7UwHnniBxd275Bv5NQbtTy30MBwnGu/FyOM6WtQz4ozkAUQ3KPnS2WMzXSTZ+TUGaSMnHA0lxKdBtLFyjb3tEGJkYHFBqe9yyOjNWwZ7iB5ZXHVKZXzg3zqxOLiYeK3Na4TXFMz+TLWbv+AibPFyIGMZUo8uTJ+Yy9VsXCd+5ldslZxdV74rmLiXdq3PDB14PCyeBArp7O709m33SDhtueJ+eGabIG+WX3RVR+J8Jz77mA+qXDpIKYmu2HWpj6SJ71X5vMrU3bhYLWDRPdHSU07DO0IEbSzAWCER0z62NmDHW+ANRFRzjdYhBPZtTYLazbXNR4iuP/4Zb/P/f4L+UInThxgu7ubi6//HL1tXA4zMqVK9m0aRP33nsv27dvx7bt855TX1/PrFmz2LRpE1dccQWbN28mmUyqIgjgoosuIplMsmnTpv9hIfTtb3+br371q//h63oAGVqay9VT9/PsfXO4cuJ+VYEnjDFWXrKHzVMnckflUYUUhXWbC967j3RReCqI9GqPWfGzZP8uTFngtgsCQlxZeYTeb3RzuSXM1kKBM/M9MzZR+JJFtTVCqT7G8UK1UHwtfYPEiryqzhtDwg35Yzc9rzw0ZAzF6tQhrnjnfoxgbAdilHdH/Rb6q0sVqVdednc1b0EGQA45cXJaiIjm8P6WTeowEllDUVrCfdRUiTBCtPHsLjk+Sxh5juZrRMaO5lFuZRUUPepFFL+o2hpRMk4pcRZ+J3l1sOV9E0PzyXumOrANfCW7NvACxZ1w8bY9k2LgzSEvURcN2zOxjKCY0wDfUARDgs7E9o0gOdkg54zLxD1fJ+2J6AsZdyIDEWUCedLICbNA11RqLFmsWAFxVB6i+UBGng+KMemcKjueWDAyszRXFVVSbu75OjnEKDXnhgPPGoEgnS2UYepe8DOFK3CPnWT7cDPzys7QEu4LnI+jPNc5m9r4CKtTh9Qa6Comef7wUuY2dbA6dSiY6Wv8/PByRnpL+KdVv+N4sYreYqkwqHz6QmpXnOW9TZtJGaO0F+r48dZLSOwPsfqOrUyJ9hDXC2zNTGL7v8yjb7HHZ1c/qz6vX+xdwoRHdbo+X8r7m94k40bodxIM/HQCnUmNhR87RSj4O3JuWHl7yfdd1zxG19VQf8JlaE4cwxLrt2uslPr1Dgeaa7miar9aI1rGJN7p01ccv7xMzcWOaxhxmwXxE5y2K+guJGlqHKBnUR1zIyOqCK4Lpel+R4F4QqzPlJGl0sxwdcsBnvnsLK5vPqTceBN6nhl3HWSwEKM+NKQ4HDc07ubAV+pZE0Rs2K7YW++7ah0F36QhNBRcoAJVnP7hZ0jowjcmrIuC9sOT1lNsMZEO6lLN9J45W5gc6VEjDNszaAwN8sk5axX3L+eLfb0q1U7ajSpehVSMzo51KDNO2zdVMbAwfoL2fB0dxVQgcigQMwoiny/wuBqP+DFwfZ0JYXEGpp2Y+t9iT1vq7AgHopKwLnxy5FlVH7iP2wipuFTlilGsaAzzvklMK6pzDF2QcsPYKgxa7gOJvBi+r8aqkmOSMrIMunHxtwUROOei+WHdxjpHEbU300BjZJiG8FAQOOzy1kgrxzMV3FS/U8UGpZ0Yfzx1AXWJDJdVHVQcoT2jjazdcAFzFx3lsoqD6vX/ZM/FWAdi3HDzRkqMAjVWmn4nwZ9/t4Ji0ueOq9YHZ4vDi30z8b9bzRvv9vjswpcCnpnFn9+8kMm/K7Dpaz63N2xVDabxRIp0uU7HB1I0hgYx8Dg1mqLlLwXaSxq4vPpggAB7DI/EqD3q0JlNMj9xWqHtbsTHLtEoeGLtGZpHhZWla5mGXpML7kYRhnth1Wme+cAFLGk7QswQoh8dj5vmb+e1L07hpvoDCj1tCfey9J07KXom1VYmQI/CtEb6SH50/X/ISFyQOMn093UpyopUEq8sb+fx/3m58V/6+C8thLq7hfqhpqbmvK/X1NRw6tQp9ZxQKER5efl/eI78/u7ubqqrq//Dz6+urlbP+fePz3/+83zyk59U/z0yMkJTUxMDToJYVMxAJ0X7+NSil1WFP+jESRpZLiw9wZySDqrMEQbcEnqKSSaE+1mSPKYuFhmgWWLkWVO+X5GF+52EugRnxzvIemGlBpAXuOTMeL6m5NwuGkkjS79Tqqz1pXwz7wuDN8HJKHC6WImlCSOslJHldLEiOBiEgVvaiQWKBw03gETznqkIpLZvoOuegvkL5yjPZDClixijxIyCIo1LHkddSHjoyDiEvG+iK3MwJ/g5UTXakREElmYw6MapCkiEg04c2zQUIgEo5EAUGxViJu5b1Jhp+oMDM6YX6bcTSuqbtMY4XagQJFgjBzr0OYKYnXaiVFqj6m+SiI2EomV8SdqNsW14Aq0l/bRGerEMgeDtyjRyOpPimvq9VJkZQRD3YjxxZAGNZWmuq9sdzLijvJ2ewFvbp3Lp4n3MLDmroN2H374Yxgw+vOI1wX1AZ2t6Igf+NI2yy7u4telt7KAr+ud1V5M8ZLDsvdupDw1hawY7Mo0c+t4supbBZ9c8g40Y+/zi7aW0Puax8YshqutF8VrwLMYeq+NwvI5FHzsZdK0OGzonMel7Hrs+2ciK8qMkDeH75Gwpp+GIyxvz25gR6yQVzfJc32wq97p0zSql2Ggqw0MKOuFBn2JwWCb0PPXhYd5o0qBUXFD11jA9dpKp9T0cWzWBVaV9gteGTsrMkr55FE0TzUgx4EMUAuffcjOrIlcqrQxLb9nJUDGmCJsxvcC11XtY/4U8y+P9wfhLIH4fWPU6oyvClFtZNS5ZnTxI7QdHiOg2JwrVlBh5pkR7mNTUh91oUGbkGHZj9AeI3N8vfAGpIJQIX3N4kE/OXqs4GXkvRAGL99VsYP3oNIYD3hIINGZ2yVmFMsr9JxEPOQqX50A8KLzPRSJkrI/n68r6ocTIU25mOZyvVaaXsuhQ56U1zMGxBjxdV2eN5CbK0WCJkRfGrLpNV6GMpDGGobmcDIoVOVLssssFGhMgPueOXYXPj61GjDXBKLrgWZRZOaXOk4hnTBeKXEzx/kwM9bEuPYMxL8TcktNq9L4300BVaJSG8LBCB07mK9nYM4l3NOxTZ1fOC/GXjgsYyYf54JRN6lw6XajgD69fxMTZndwaZGAZ+Pz0+AqyG6uYfe0hFiVPAuABv3piDfhw950vIZ2l1/ZPY/hrzWy4E7540XNCSepbvLF2DvVvOuz6UjNzE6fxfJ0BO07852WcmViJ98F29Tr2D9bR+mSOXXWNXFZxUL1vXm+E8sMeA3ZcxYXYvoFvgG/6yv7C0hwml/axcUEjrQ1nRAPrC9+jWRecYm+4iTsrxN2Z0MfImSHi7+uk2ipSFxpWa+LKmv2s/2aR9yQ7sTRXjf/un/M6p9tSCv2WI6wHrnhB7Rup2Kq0MnzyiueUGEY2dZOifXxxybMA9AfnrETgm1oHFUorx2yTov1UmhmhPA34QRHNVqRvif6NupGAWuJiBw1gnTVE2o1zPP8f7///k4//I87Smqad99++7/+Hr/37x79/zv/o+f+znxMOhyktLT3v/wDSARQvIUep5LB9g6SZo98pDVQbY6pTqbQyFIO5taU5it+SNHL02wnO2CmKAV9FJn1HNJuibyrinyQRynTlsG4r1UnajZEyRjE0X5Gk8744cIRLbyiIa7DI+6EgsV7MqiVsLTkpsrOWh5csfAqeFYwuDHXQZAL5ayJYfNIU73SxQhFUBYmvQL9TwrF8lRoZ5X1RqO3KNHEmn1Ip58LRNMGrPdPPI+nZvsnW9ET+eHoeHcWUUhB0Fst55OAynuuepWTFSSPLK4MzePyli9memaher655/Mu2S/nHp6+n4JuBw3GW9lwtz/xiBQ9tXxVcYB4pI8sTRxbwxr9cxN5Mg1JDSBVeSZDhJvhAMV7snsHwl5p5cu98hpy4Qve2rJuJ/t0KDoyKBOyUkaXXTlD1aIyOV5vJeSEGXcGR2nG2kdbfFzgwVBO8XjF+KDkYpnyPod5Pz9cZKUaI9XiM2ZZajwYevuVhl0DcLJBxo5QZOZqjg/TP1og2Cl5dwbOoMkeYPbmD4zdbLK44qRC2xtAg3q0DxG7oER10gA5e27yf0a9nuXPGNuqtIbqKZdi+wZp3bmXKpw8oyXbOC3NJxWEWfXEbX7ngWTxfo9ZKkzJG+dzK57jxwXWUmcI3qttJUmlmuPuOl/j4gnVENEeoGPUCN9fu4MGbn2ZBQhzanq8z6MR5YOY67p/+OvWWyJ/qKiZVFEk6IA83hgbxfJ1FiROsKD+q9rQoJEwWlZ2g8pzuMu+LdVsdGiGiOVxdso+9mUY2j05WDrdyH5w7EpEquTprWHCOAvFBwshzJp9C+tecmzgu3aqPFGqV5L3EyAvDvAA9FE7bosgTnKuwigoY35dCcCHiBrKKXKriczRh1idHKHKMK0fb8nXJgufgWAM1VpryQJDRb5cEr9lUSe8Hs3Ucy1cz6JTQEBoirNt0FZOs65+mCjd5ZuweaeLnR5aptTnqRtiUbuXhjZdwdKwaGcti+wb/tPNyfrb20iClXXC9+u0S/u0XV/KPOy5HPyeL8P4372DLty6kN1+izqKcG+bID2fw3HOLyQeiAQOfp4/MJvklgbxILp7n62ReqKX016UB/0v8jN5CggkvOJzcU6+K9KSRYygdp3Kfw6gdpt4SsTMlRp5i0scLcR7RvbWkn67lYSY39573eTctOsuZ2xwmRAfU+LAhPIz7kX5abjqmJP+W5nBr03YS/9jJ3bPeOq9Q/fKVf+CSv3+TqtCookRUWyO899ZXuGuNyCAU/CCTJaXH+PC7n+Ojza+dt+Zurd3Gt1f9gZheZNiNMeiWkNDz3NrwNldU7VemnIOOiKm5tPIQDaEhZXsi/6bWSO95vCqJ2kvyuXxIxFrEZuhqJCuVpLLhl3eH3OdSySl5f+eOHuXvk/99rkv4uaNy+fo8dDqK5eoO+Gs9/ksLodraWoD/gNr09vYqlKi2tpZiscjQ0ND/9Dk9PT3/4ef39fX9B7Tpf/WoCsYNg+74fFle+kKWLObDfY5QtTRZg6qQUAVEcCDLD9bSRDyCgOl9Reg8lq+mx04GXg0ieybjRtiSbgk4Krpi4h8aq+d33Rfi+hoTQv3iMPUsXuueypsDk1WHk/NCDDlxvr3zSjYOtioJOcCuTCPff/kqjo9VqYtcLrqWcB99ToKzhTIV1fHrJy/lh5svZdiNUWumcX2d5/tn8/J3VvCrY4tVJwHw2BvL2fqPCzmYrVPjr5wXYv9Ds3hh7UIaQuOf3+OHF+J/sYLHjy4MMreyDDpx9j43jdj3y+gslCkX5c5CGTX/FqHnVWHclnZjGJrP4YEqJj6TZ3tPoxoPeb5O+GSY8oOQdqJk3CgZT5BCrayP7+qKQ2H7BpGQzVilRtwcH3mJQ0hTmxzEhlxYcZrjN4SYO/GMQokimk3LktN03Ss6fds3GXTjVFsZtAd6mfeOAyo81PN13jl1F8lvd3Bz4y51IcT0AtffsYE1924OnICjWJrDJVXtXPfZ13jXxO0AgcpI58sr/8Jtd6yjNdKrfIxqrDT33vgSn5jxGjJA8VSxkqur9vKlNX9mYkQEntqeSdYLc/ekzbxnwltIK34ZL/KhietF8WmXkwqiKaZFu1iePIIXoJlyTTdFBin6BrVWOuBvBT4fgcxfxs3I7tHSXJJGFg8NOyB+57ywep9dtGD0JdZlj50UyeLWqEApNEcEE+uOQk5kJpok88O4N46MSxgMfr4cq+W8EOuy05hZ0snUSHdAQg+pjh3EAS1gd0EozQQj3bBu02WXM+zGApdrIXLoLY6PbsK6TcwQMSInClVKYSNctSNsH51I2o2qKA2ArmKSt4ZbFEpSEsSnPHH6QrYMTSRpZBl1Iwy7MU7kKvnx1ks4XUip93vIifOP2y/nJ9tXqoLF9k0OjNbz019dw+9PzlOE2IJn8fP1q1j7s4uC2AwxYtiVaWT/d+fwh93zkWnsnq/zxw2LyX2lnt0jjcofqMcu5fgPpqG9WI6MS5ga6WLjkcm0PTrGayen4PkaMUP404QORknt0VQ8UImRZ8SJEO/28B3x3kjkLl6aJ9Ns0BgTo/a0G8VDo3ulS/SCIdWsAaxqOUL7h8OsbjhClTmi0s1nvusg8Y+cVeN6z9dYWHqSCV9r5z2Xrg8I+DoR3eZ9szYz7ys7uKzqIMNujE67HM/X+Pi1z/PBW14MkGqHES/KxEg/993yHHc2bCEReLkNOnFuqNvNZxa8rFANWQC8d8Jb3FCzU71eGVJ7VeU+qq0RhWDZvjA+nRzpUShbRLOFeaOZIWVmyblhPDT6nRI6iikO5gQJW6CGQqU47IoYFA+NqkCxKfeKFGxIKw05mpIFiiyGxGsKB02dyPtKGGP02wnVKMqzS46tpMIzEfx3PuCOSg8uiSb22wn6bVGcyUmDAAHiHBqrU79fyuE3Dk7mVL7iPLGHi8bPjywNLBl05TvUV0z8L272/9rHf2kh1NLSQm1tLa+88or6WrFY5I033mDp0qUALFiwAMuyzntOV1cX+/btU89ZsmQJ6XSarVu3quds2bKFdDqtnvP/9FH0xg/u42NV/NML7+D5rllCLaGLD/qpsxfwy19fwYahKRSDQzemF/jO1iv5ySPXcyafIhHMswu+yc8ev5rHH79UKXViepGjuRo2/MNF/OaFlWS8CCFN2KY/3zmTrs+28ujOpcECKpDQx/jtxiWMfbGO14an0xcQW4/lqrB/UUPHY5PIBOO1KjPD3nQ9kx7y2ffmZGC80t50YhKtvx9je39jcJGLsVUmyD4rM3LUhkZUtxnr8rH6TCWfTJlZRooRnIiGoUtpsshkM6vHSLfoTIgMUmOmGXTj1IWG6VnpUj6rP+iUxKE0uaqf4zfFWNYo6G2Dbgkt4V7mXXuA3g+PURUSyIalOTRFBgl/qov51+8DxKYadmPcNHE35d8+zbsnbSMVSP51zeO66zdxySc2MzHSD4gOpC3WzU33r+OrS58SXwsuinsnb+TD73+GeSWnA3WTMMqTG152JM2hfmbHzvDeVeu5smq/Gj8C3FC7i0/MXHeOlFVAxvc2r2dx8sQ5xYBDXWiYa6v2KEJt2o2S8SJMjvQo2FqqWSKaQ42VVkiFVMBkvTCVZkahbqIQMNVBITOyJPIoc7Fs31AeHNLoDsZVISVGXqkzxEFkBoiYruBxOZKVfKZ+pxTX11UWUMaL0GOXUm7mSAUFuFSfieJ//GCUr60kMN8EkbE26MZV0VFjppGJ6xKdlIelLICO5avJucKcMmWMMupG2D3SRL+TUOM2A58ThSo2DE1WCepyJPNi90w2DbUGY1DBd9k12sx3dl6pCnJZzPxszwoefvtiPF+n1kxzolDN/mwDzzy+nKfPCNWK3N+/2rSMpx9ZSVexDJm2fmC0jt3/OJfHdi9Wn1fajfHHTYvo/1oL29PN6utdxSTGjyo5/NwUepykMnN9/egU2n5SYFNvi3of8p5F6eYoqQ3hoFkTyruBQpzyIy5jhZAqFnXNww97uFHB9wCoMjPUhDP0zzaorxtStgiW5jDjglMce5dJW0lPgHaL9zR/5xCNtwlPrs4gO+5j81/H/84Qt03druwDQprDO27exLKPbmNypCcogkNMiAxy1WfW8/UlT5H3BZHYRef+aa/z7nteYm78tCLwNoSG+PSKF7mjdRuJIMMu75tcWnaAbyz/M83hQXrsMpJmjowbYUnZcW6s26n2v+QlLU8eCVyeDUW+B5gW7VIojBz9CCpCThXBErkIBwTxziCIVCjxHGQIa0RzlErK9g01KZB7Tfx/XY2GJKJuaS6DTgk1ZhoXnR47qYxppVJMro1yM8uCkpNMjXQx0RJjpQZriIhm02AO0Rga5Gi+5jwzSxm7Is8oucbSbvQcWbyQp28amhSgo+LfMm6UY7lKnj47Gzvga0pe6sPtK/jjqQvOU5Z2F5L8+oWVPHlqvgIJdM1j40ArL/x8OU92LlDj34Jn8du1y3jtxxfRFUjgJQ/0zM+msPnf5quGocTIc2i0jup/jnDgpanqjojpRXYMNP0v7/b/ysd/miM0OjrK0aPj8PWJEyfYtWsXqVSK5uZmHnjgAb71rW8xZcoUpkyZwre+9S1isRh33HEHAMlkknvuuYdPfepTVFRUkEql+PSnP83s2bOVimz69OlceeWVfPCDH+SnP/0pAB/60Ie49tpr/4dE6f/ZY8CJM8MYJO3GaU/XMOE5m+PJKhJNY4r02JsuofGtPCcvTpFPhcQG0G38nEm012PMDakE4YJh4ZT4mFnRZU2PdDLgllBm5RiapuM2jqnFljJHmV95hpcvq2Vl214S+hhddjmVZoZF84+wxZrMJTGR41NlZmiJ9bPz9iFKwkUag7BM2zVYWHaa576U4MrKA5QZWfaPCdv+98/azNv/0MyqstN46KorEI7MIrhScn5qrBEu/+ib1IWEKZtMSb6pbid8dqcy3ZOGV/fM3ExsdlFdcpGgsPuHlb8HoCcYK9i+wYKy08y6rJO6UFpxliKazeLkCRYnTwgppis8NsrNLNfW7j3PBE0WJ+EyW3UwOS9E3rOYGulWhd+5yhPhCCykljG9KMzyfGnKpSszRNs3FFQvVSU9ThIDn8bQICBykGS4phxnWZqDFyiJDHwGgosnaeZEJ2y6JPQxepyk+vxyrkCxpMRVjjEMGRkQjGlieoG0JyI7Qpoj0tYDybmE3O3AA0cWCLJIlUWF5+tUmSN0O0nyQScmCxQ5wjhXXm4EXK5RN0Laiap1AAIhPZNPUW7lOGOnKDNydBRTnMmXs7OvkRuahKusdDF/6uwFhE2Hq2r2qyLuyFg1z+ycy7KZR1hSdkwpBR/ZsxxvKMS9K9epjrG7WMrrT1yItyzNp2e8ooi3P3hrDZWbTS7+qOjQk4bD4WwNJ7/XxptrpnD/srWqw/zVm8uY/DubHd/QuLzygOL82T+spX2iydIPHQvWrc26E1OY9H2XzV+YyPTJXQqej78Vw8r4ZBZElO9X+2gN5UccuufH1Jg754XA8PEMMbJKGcKtvjk6yLbZGtWVI2qMkDJHmTHrNAf8ZlYmujDwCOkOSXOMwfePUhbNK84cwK0zt/Pa16ZwU+NudbHVWCMsfO9uLN2lMTSozqnVlYcofPWYiu8RzdwYH1y8HmuJE3TmPt1OkqQ5xv23PKN4ZKKx8Lmi6gA31uxUKLdUJH5o8kYmhXrZl286L0T2xrqd46i3Z1H0TaZHOxl2Y4HLvHhI5EN62hiBFUfCHCNNlB47qYjgOUJUmYIreTRfq3iRPXaZErbIc6EuNKx4ZJbmqhiavG+i+546m9JujBorrc6FmC4cuOUoTRZQ0nBWfr9UXEZ0EfNSER7lZLGSfruEhvCQmB4E0UpSxSYNM60A7TyWrw4++6waD6XdKIez1cws6RKjWl0gZ8/3zibvmlxZs596a4i4XqDPKeVbu65kam0fc5JnCesOp4sV7Bxuon19C6uu2MWlZQfIuFH6nQQ/fX01Rk7no9e+ID5XNA7nann7oXn0LXb5xMqXA7Q0zIudMwj/Yzm/vqeRD83ZoJzEt74yk/r1RV77/FRuq9+GpTkcyNUT+5M4z/o/WUJzeABLcxlxojS+7tChVcIEuCB6iowX5Wh3FTVdLkO5qBq7JY0cXlWR7EiEcJA3KH2zelcX0VTDXSSkuZi6y+mPuTRXngmKVoHmXlZ7iC3/y9v9v+6h+f5/Lt7s9ddf55JLLvkPX3/ve9/LL37xC3zf56tf/So//elPGRoaYvHixfzoRz9i1qxZ6rn5fJ7PfOYzPP7444yNjXHppZfy4x//mKam8SpwcHCQj3/84zz99NMAXHfddTz00EOUlZX9P3qdIyMjJJNJHtq+CC0WVZfc7kwTE6MDtIR7A1dZYc+/fXQiM+NnFRQ9JdzDyWIlvcVSWiO9yORl5ZUSVL9Srp0w8mpmLgmLg25coTQ1ZlpV5Of65CSMPINOieIYwHinca7EWV4iEl6Wr0Eqs+TmlvJN+XfI7z+Xr9BvJwLnT0f9XSBmw/L7pMpCqq2EwqFI3g9Rqo8x4gkPirOFckoMoTqRao5U4HMk4Vn598h/P/eidgNjxipzhMP5OtX9pt2YgH6NgnIglp2Y/JuSQeaZnKvLGAD579K9Wf7ec79XmuPJWA+poovpRdKOyCg7V2kilW21ZpqjQexBWLfPI21LXliXXUZnvoyWaL9Sw+V9i/UDU6iNZpgTlyaHJgdzdeweqOeS2iPKF6bfSfD7k/PQNXhPyxYFX68dnM6WbW1cfNF+FpaeBERh89MdK9B7w3zwyldJGjkius3LAzM5+JvpZFdk+dzcl5AREt/bdDm16wzmPLib6fEuLM1lf7aBPd+5gM5VcMvyLSo09gcbLmfqo2Mk/rmLqyr3YWgeR/M1vPatZeSqda75wAYqLeGE/K/Hl1H+rSjH7tP5zPyX0TWfs8Vy/vTYSmK9Pld+ar0KTd2fbWD3dy+g6x02X1/8F04VKkmaOb634zJK34qy+n1vMb/kFINOCQdzdbz6yjwSswe4s+VtZFTNHzvnc/hIPe9ctI3m8CAJY4ysF+Ynhy6msiTLzQ07VcZaRzHF5v4WrqndJz5rPAzNZ3+uAV3zhWmfE1MuzB1FEWsjicqjboRJ4V7ezEyhOTyolEvnSr1lTItcgylT+D91FstVcKbkJyplFOPcRXmRF32TfjvB/NhJNmcnq3GFdJI/99yRZ4IslAXnTiaOCxRRrmvbM6kPDdHnJFT3nj8HeZT7VDYB8jXK3y/3hhRxyLggiVil3agKhZXNk3xd5xK55fdJYcGgE1eSadFARtTZBIKcK889+RqljcTZQjlJc4y6gLAvPX92jDSzMHlSNQYAb6cnMJCPc23t3uCsE2TdR/Yuo7Wmn482r2NrtpVKK8MzXXM4tbue61dtVWTunBfi4ZfXoLka779iHSlzlISR5/Xhaez7wWx6Lrf5yMLXhXeVH+LbG69hwlOQ+txJLqk4rBqh3/7wciJDPvM+s5PLy/bSYA5zxknx7a/fRbpVY9Hl+6gJCzn7s4dm0/oDh6Ev57l30gbFefvXP11OeFDjHXdvUM3csXw1Lz+2hJGZRT6/7HkMhH3Hm8Ot7H5lGgsuP8DsxFl1PjzWcRHHT1dz36LXlMVJxouweXASOSekcgSlsObEWBUpKyvuEd1Rn0d/QO5XUU4BR05aYwDqTpGCgUGnhHpriIP5eizNpSXcp3IB5bmcyfh8YdHrpNNpxff9P/n4TxdC/295yELoS29dhhUP0xgaIO+PkyAB1WFHNIem0ABnihXkfVPFWkivDSmzlt4sZUaOhJ7njJ0SktOgm5cmWDKor8ZKKxVZuZlVM1bBeRCO0hk3ojoJyTUAlJpE2KJHle+MPATl49yLXY6T0o7w7Cn4JmHNIXEO6VIadklvkfHQUU9dwvKQlUWQHCvJUaKluZwuVoixTwDHG+cUOIKTMaZ8dwDlCyTHMnLBG/gkjSxddjm9xQQTIwPq33XNo6tYRsEzSZpjCuUBeGt4EnGjyNLkUSrMUY4Uajg1VsnbfU2srDtKjTWiDvEnOxcwPBblxubd6r1IOzEe2bSSia09XF+/W10AT3Yu4OybjSy5Yi9LksdUIfXwM1fghn0+tGYtIODsl/tncPbHk8nemubuyVtU4fXjZ66icqfPos++zYxYJ7ZvsHm4lY5vTuH01TqfveTZwIG2wHdfu5bWJwrUfPckF5cfVsXlpu8sJluj8557XyRljlL0TX54aBV1/xSi81M2X5z5PJ12OS4aj/7+CmLdPlfdt5FKS6R/vzo4g/ZHpjO4Os93F/+R9nwdlVaG7+9fjfFWKTfd9YaSnfc7Cf7t1VWkpg5yZ8tWLE1kxL0x3MbrO6bzriVbA/6NKAyfPDOfEqvIjXU7hf9VYDfwcs8MllceC1yyrYCHVIIeEPpl4VkXGlZcIqk0kg9ZQMtIDRc96JoTSl4rL0a5fyV5U65/2xc+MlJ6LiNY5GuN6wWKvoGh+UrmD6LYz7nCuFJ6weQDhFWGTeZ9U138Yu3mlOJMrk15qcs9bXumKoj/PdfQ0hyqzAzt+ToMzVPfK/c+oAoWWXTIpHIYdwWWikiXccTqXBsLOf489+yRPChZFLiBZFr+jTkvxMl8JQ1hEXGSNLIMuiWczFfieAaTYz3YvsGEUD+ddjkbBydTEc7SFutR/Ly9uUZeOdnG1S0HaA4PqkLxl0cXU7RN7puxXo01D2Vr2fTqLFqXneKG2l14vnbeeyvRQMlPefpHK8lMgg9e+7JC2X52dDkV/xyj+4EC90zdpN6LXz+2hor9Nsu/+ZbyATqZr2Df382ha3mY+255jrxvktDzfPftK2j+rUH4U12srDqisu9+9fgazBzc8YFXVBjz9sxE3n7sArLLstw3R/hf1ZppXhqaxeaXZrPsij0sTh5XgpufHL6YsbEQd898i2tLdzPdEgXxN/rnsHO4icGxGCWhAtXRDKlQjs6xJEvLjylvMXl/9dsJKq2MQphFgxxTe0fXRGaZjkfajTPoxGkJ957XjJ+7d+XeEjFRMVXwuuiqMZRnhVxnssiVn4ksmmRTKu87eZ/Kc1Ps85C6Oy3NpcIY5WihRu3tTMbnK4vX/tUKob/5rDFd80maORUwKLsTWblKn5tscDHpvvDqkfJrUTSIgiGsRxQ64QaFh4DwhTvqqUIlKTOrJICymJEHsTxMJTo0aJcyPdp5nm269L+QaEfOC6lFJRckjDP/DQTT3kYD3yAfdKNyAddYaRXT0G+XkHXDTI11n7NYw7zQM5P5qTM0hwfU6/A0/bwuTY7YHj28hFi4yDWN+wWPIzTKruwEfvfaUibO6eSW+u3oms+gW8JvTixk7K1KVt+wHT0mglP35Jr5w19W4Fk+91//fKA6K2XnSBOnfziVp6/L86m5rxA3CmS9ME+8vozGVz0mf/EAlaUZ0OB0oYKTP5lKvlxn/kdOcaZYQULP80ZHK/X/YLLlaxN5f/NGDufrSBh5zr7WROKUT/qTUSqtDHG9wJZ0C83PQcfyekZr2qm2RvB8jZPdFTRuc+hYXoaRHM+QskY0rADZkrJvXfPJl+tELEGAL9UFCdGcnKGfBM3hQdUpzyjp4s3rpzB9yhllT6BrPkvntbO1opnLEmcVx6A10sueezuYGk+TDCTfBj73TN3E699q47byUwwHXkVJPc9d71xLIYi5kJb2i5MnmP3Js5SbWZGbpwv140emb0Cf4am1KB2GP3fV0+qy6SqWgYUIBr7kmOpEZXH8wYkbARSBssZKk2SMq2r2q4JbXvYNoSE8X0QD5NwwLeFeThcrFXoilU6ygLY0V6xhK6vyuGQzMSEksumkz4xUPWbcqMg5CkYnZYEAoszICfuDAEGV8QGSq9XvxET8QDA69Xyd+tAQJwpV42rQczyjYnoB6bjr+TqRQMUmx5+SKwacxwOxDFcVczk3rAor4bQcIV2InZegXm8Ns2N0AoCKLZGo6uZ0K5WhUepCaYX8HhmrZs9gA1fV7affLsEIC4XXw4eWU5vMcGl1u2pSxJnokQ/GrrJY++kbq9HzGvde+Yq61N5OT+TIw9MZeccoH5v5urpE/7JjHg0v6gx/qp3FyRP02GX02wmGv9TMgeURltz5B3rsJJ6u8/T+OUz9QYHXvzqFuydtDgrSEKG/lGFEIDdNnG/lZpbTo+XUb7Bpn1gDtSgUEzgPwZIeN6NNYCddtS7yvsWCmg7euGoOy+oEfaPfET5rtVec4eyi5Hl+ZZOifez57ABLS/uDvST8vT678CU2Tp5CQ3SYtkiXmgLcfvs6bN9QRRDA9HgX0z/cpc5KS3PodpIsSR5jybuOKTd0Kd740NSNCsH2fI2cXySmhfhg+RZ+6FmsywiuTGlIoCxXVAjPu0jApfR8XVktSHsQ2TzIz1jZPgRNc0SzqQsN02WXq9cpeXUSZZSEapnzlwy4WyVGHiMolCWncFyEoisfsX47waRwL2fsFINOnDmx0xzO1wEEOWNBsHZgsyItX2RQ+KhbKaYDgc1H5JypyV/j8TdfCJUaY3i+OAhlRQvCeOvcg2tProlEQJYrBvyMnBfiQKaOhclThExB4sp6YfaMNtI1lmRVxWFVTOR9i039kzB0j8uqDiHs6NOcKFTx6I5lLJpyglXl7YoDsyXdwub1M1mzeicz42dVx/DLfRfhn40q+BXESOmn61ejlxd4cO5a1QGfzFfyh10LWDDlJIvLT4iOTzOUssdDw9A8Cq64sNb99CI0F+o//pqCKTcPt2J/r5Ynr6rn7y59hqSRUzCzvACSZi7oOi0iz5XihMD6iCDTxrwC+0bqaXmmyLF4DZlacWgk9DyD/Qmadzt0XlHK9Hgnw26clJlFt8EoaEoi66KRCuU40KATCgvIPIIo/lKTB+ksVjDPGifh1oWG6b+qQDyep8kaYEOmjdZILzdN2s1v7l/EXTWHMYJAxqSRY85VhxjKx1Qn6PkaF5aewvk7gxXxfhWSW2mOcP+819g/pYG5idPE9QLdjoBs77x9LYYm8rbyvjgwVqcOMffDHUEwpxh/WbrDR6ZvwJohOv19Y42KKP3li/9C3rOEsjC4hJaXHeGS8kOq2LACFO72hq24vq46fw/hPbKqcvxSk2RjadYm0T05shgfUZhBAyC2e8Gz8DQdmfMkA3Hl12WkjHyuGksESIV07JUxLXK0KxsN+fdJrlTOCym0o98ZD5GUhQqMZ7sVfJGwHtcLeAEpOaYXqbZGODjWEFxkAkXsKFaoy0GO8yzNUdD7gCuKr4JvknNDhHUHme9k+yY9dikZJ0JLtE81RnnPon20hnzMojGQIluaS/tYFbsGGrm87qDIwDIzdBRTPHlsHjWlGa6s3U/CGCPvWmwYmsK2rVO5avlOZsU7lALoxxsuRXM0PnWpME3tKpRxMFPL8V9MRbthgA+3rqfLLiOuF3jmlcWUH4Dwg28qleCB0XpOfmUab7xD58FVL9Jrl1JuZnn2rflM/k2ezd+ZxE012/HQeXVwBqlfl9A5O4lxiwiizTkhhQpVWhl67VIwxrA9k/hJA81DIcseHo6v44bANF2lkLUMl9KqUfovKOOdyZNUmSO05+tImVmO3WaQqh83W0waWe6Ys43ff3o+72neTjwgyjeH+mn9QDsh3QmiYMTZd1P9TvZ/o4E14SHKAmWd7ZkkgsYuAMjUuvvWrb9h2I1xcKxB7c1lySMsuO4kgPJ9G3Uj3FK/nXhjIUClTTWau7t50zjnSvNoz9UyJdrDxeWH8XyNzqB4sDQ3ILgXyXhRVbRK1NzSXGzGEU1poirHQ5JuIPeS7RucdCqAARL6GHuLtXi+Rk1JhohhMzPRxZATY9CNU28NA6jx67lGsHIkKhvnc5FJ2zfAN/A0ncbQAGeL5SI3zBcFZjr4nGTzUmll6LfFfpQKQTnO7bdLSJohZdUiR6cbB1uZluihOjTCiCeKnMOFUv7hzBXcPGG3usPSbow/n76AdCbKB2dvJKKPm8/+ZN1lUGZz9fT9JM0cZUaOLuf/z7PG/t/2GAtgYc/XOZCr55kfruSX61eoYiGi2TzVcQFbvnAh/7ptOXnPIhRI3P9tzxL6PjeB355aEJAARXW9/tl5ZL/WQHuuhoQ+RsLIczJfSeZnjfT+egL5wKvC9TV2pRtp/bnLztfa0ANjuZheYFvHBFr/MMrGsy1UmSPq8tFORUnth95gQcrK2BzRccdMdcmJw6CAZnokLJFGH9ZtlU8jibZSFRTTiwwtKTKwVHRfbZFOeuwkE2MDnLndYeqMDgVlSsm0OMxy9Nql4mcYBSbefYTJdx4mZhQC3kKIFRVHqP7GCT64ZH3wngrY9dOLX2bFNzazPCWIq2k3SomR5323vcR7bn+FuF5Ql2dLtI/3v/95PjxtIwljTATb4vPAlLU8cO2zTIt2KSQvZYzywTkb+dDUjWQ8YaDootMcGuBjc18jZhTO6UJM1qQOcGPdTsWHkLLXRWUnaA6LUZwYkYj8ngtLTxDRbDrtcuWCnDJHg/GmKALkgdEYGlAqonxw0Em56PFilZKti7l5FBdBAK00xaEjo0dkkSdn+32Bb8e53C6JyIgCaHwUKQ98EfoYUoctCHKv7Balg6+luTSFBugtlqrZvFTWyIwkadInv+aiUR8aosEaoj1Xe95hKzvcXlvIzqXsttLKILKOSkgG42QQfiU7Rpo5OFavDmKZafSbEws5Wyin0y5XnKmfHV7OnzrnKfm07Ru8ODCbR1+5hP2jDef5Bn15/Y18/+WrOGOnArRU40SugtcfuoinTwqeovx7/vDaRWz/4Txyblit9T3ZJrq/1cqfXlkCQL01hKW5PLdhAdEvJ9g6JHyuMl6EATtO2W9K6FzfiO2Z6kLddnwCk/5UYP9wLbrmK7+X5EGTxDGpGAzTHBrA8zV0G4qOoXhtRwo1OPUFhqahFFEArbE+Tl2tUzFBWFdUmhmmhLq5aN5hjtxjsaqynbQrsuWWlB1D+3AvF1+7U/m1yEu0304oEuvJfCWVVoYPve857nr/S4Jw7ot8tDWpA9zyiVd5z5QtgWpMZLW9e/JWPnnLX7A0l2JQVJUYeX5+2aPcPWnLOWvDpMYa4XNzX6LczKqQ5bwfYlHyJCvLDpMIqAZ53yLtxJgTP0OllVFj30SgupSPQuA7VPAssT+9cOAvNkbOC5MNmtJaK42LRq9dGqxlkTgvFZTyLJZRP3IfRg1b/a3yOb22QJVCmqNQMZmPJx+y8JE8LYHmh1XTKsdVMl9Mfs6H7Wp2Feo5UhBk8LZED7URIbGvC6XpLZayP9egphRSWbl/tF6NPOX+Pdd2AsSoN+1E+dHOlfy6awlJY0yNof/SeQH/+uxl9Nil53n7/Pz1Vfz6yUsFj1QXSunuQpLXfnIRjz1ziRo9AzzXPYuRLzXxxNbFSAWx7Rus3TaL1D/F2TXSeF7+oP1SJXW/CdNdSAZ/i0CCq7doxPdEqA8PK7Wdx//cd/C/+vE3jwiNOFHqdXFwlFs5ikkNPyoulownRl2tyX52Ta+loaEbS3PJemHieoGZTV0cfEcLV1QfFAc+4oBoXnmawy01XBPrYXe2mbZYN9OiXex4fw9xU/ijCOg7xOWVB3jyq1EuLe0johUxdI9Bt4S7p73F7u83cmnyNJ12eWAsmOOea18lc1WEWdGOYKOHaAwNct91LzAahNjZvqGs7h9csFZwXmSsgy5k9DYClpcwfku4ly8sfo6MFyGuFzhTrACgMTTI/fNeUyNCeSEn9LxSnUm+QNIY4/LKA2qEI9UkluZyaeqg4mvIkZylORBCcRgAVczomk8mCP3LeSEaQkPC6wRosgY4mq9R6jcZJ2Dgn5dSLiMAQHRLcaugOlqp+JEyU2EhMH5p65oXRAoIwnnMKASd1vjsOhxwRUDMtKWlP6BGhfIg7rTLFN9Mqr6MgCgvFThpN4rn6crXRvIxBt04NWaajmIF+cB1ORfIYGWhKNEeqVARa8xR3kO9hQQzSsaDMF001ve3UR9L0xLtI+cJQ8rjhSpePDmdO6e8zcRIf6Aii/H40YVEQzbXNu2jJdxL2o2zYWgyuzZMZeHFh1hWfhTX19k31sgz2+cS6je57dr1avS1c7SZHT+Zy8iVWT4151VS+iiur/HtDddSvcnA/sQ2WiMiEbyrmOTEP05nywKdj9/4rPoc/7BjAW0P5znzg3Kaw4P0OQl6i6XEfp+ke2I5XbceFcogvcDOzkYm/SnPvhm1zCw5C4hxcclRC2MsMIczxzkJ+CgDUzmO02oKjEyKKpTW0hzqw8O8eKVO5aR+hS7pms/FS/bzerKN20s7KXgW9ZZYr/4H+1ha1qsUdQk9z/su2My+79SzovyIINxrAp279v0bgo7aCcbHcVamjmB/5jjSATrjiILlswtfIjdfcDhk594c6ufBS18EUOTbTqecZeVHWbb0aLAXnWCfmdzUuFMVxHLdZryIGsPhG1SHRhR5OazbiiAuHYElyXvQjSshhlSQVpijbMpMZlK0j7QbZW++SdAFNMFnkZwWS3MUSihRSIkq5H2TPqdUjX9cdHRcxVmRY3mdYGQfxJ7I5tZFwwKSRpbD+TpRPOsuxwvVQnVmDXOuglacG446N8Zd/AWJPmVmSTsxuoulNEVEIV5pCkXpyXwlXfkkF5QK77GkmaPgWfyxYy5NiWEuKjseFOUO7dlGnts9m+vn7WJaVGRE6uj85MDFOJ0xbl21CZlv11dM8Oav5zPa4vG5K56m2RKZY988cS3ZHzeQe+8wt7bsIGaKpujp5y+iapdH9HM29eFh9To8X8fQHIxASWb7BtsGJzD5hw773juBa1fvUePGkx2VTH4+z65Fjdxcv0O9H+aoTqzbD4oagSSXWTly1RrFlKN8yiKGzcKK0/z5ygbqJ4j4nWzQkF007zBbyycyPz6g7okINnPu2EfvWIJJUXEOxPQCCWOMqR87gKV5ag+VGHlCoeL/1n3/v/v4my+Eys0cg65w3qw0R7ntvWsV/HaqUEmZkePC0lMsvecYZUaOkQD2zHph3lnzNpEbNzPsxhl1Iwpuv7Z2L27tPuqtIVWllxk5rqnfp7gFVWZGkamvq5VeMyHOFstpCfdhmS7J8lxAmi2qCx9gcqSHAbckUFl4Cv6XHWdCzzOqiSygTrc8uMSFKaD0sykJuEuuW0LOO+ew0WwVYio7WwnvSlWGIlYHhE1Dc3HPIXlKVEIqtCRpVc57harAod8pVQiJJJiqrgkbmQYuVQuy2zhZrApiPYQNQUwvYPkCZZKvMWnkFHFPkqiHXcH5SBpjoBHM80foKFbgoSkiYNqJCeKpmeN0oYKCJ4oVwxJjnM5CGZOjvVSYaWGNYOTYNdpM91giKATDinz6x7PzqI5luLpyr+B3WWOsH5rKpiOTuOOCbYHPiXjvfr5/GZXJUa5r2EvBs5gQ6uf3PQs58uwU5t24j6XJY0hJ87+tXUVoSOfuW15hQqifM3aK3SNNHP+XafRfP8bfz3tBjCCAJ9dfRONrHvrf+SxOHsfA5+hYJYPfm8DRaSZz734KTxfv9Z/3zWXqvxR45TvTuL1xm+ga3Sglf0yQq9Ep3CXGRmHdpr2/mgkv5tk3vZZVqXZxUfk6kU6LaK+voHM0naJn4oUgHJa8H7FWyuvTDE1LUW7mAp5bFAOPjqs8quoHGXUjJCzRzV847QQ7P9nEexOdKmfKCruU3tPBjPiwkk43WYPcPGUXh/+hmqvLjykCsIvGTXe+gY4fjCtFIOfKssNMfbBXGRtK3t2n572MO08IBeTFXWLk+eylz6Jrvsq2SxlZliePMGNRp1JGZYI9dlsQ/isvddfTqLZGWFY2pjgabrDGG0OD6JqvImjEXhqPtBl0SpTcfXzsIS4u6YuUMMaU3UJEc8i4UUVQlbwziQxIBFH+7xIjj+H7RIKzQv7+fqeUMjMXIKNC6j7kxCgPRuJyPGgF4/Q+J0HGFg1VbTitRrTSMkJaechm5HC+jpZwn0As3QgYotBynbhSekmX4/ZcLeVWjvJAQCKVmbsGG1ld3a7OV2njoGs+19XvocrMEAloCj/ceBltU89yTc0+pErvyRPzyO0r57qr3mJKtEeNln/5uzUUyzwevPo5Mp6wPPnlmSW4D9Ww7cMD3Nq8Hanefe7PS6jc69D85UGqohkybpTjY1WE/nuKvfNrWfbuY4rg/0ZHK20P53npc9OZNrNLfYbaoRIadjq4q3SmRzvZn2ugJjSCmfcxxgQKMhJwVqOmTX+lTiwkmmQ5Tq5c2ENXrJo1oQwxo6A+2yEnrhBhOSa+qmY/v/lvC7my9gghzWEw8Ai778LX2Tm1mYVJ4QQvOXB3X7sOLzivZWNbY43w8Tv/QsYTfmxhTaDWzeEBPnHdsxiMj8ttYF7yNEvmHudcGxBd87i+YhfHi1UKVEi7MeqsIabGe1XDIpz/o4T463KE/uZHY+dKyMO6rarnrCfUIdKjI2WOMuCWKGIloMYZyv/ESSpCnIFPT4AC5H2LES96jqw0zBk7Ra05HnGRdmPE9QJ11jBZL8ywGzvHtybo1tyICv5LOzEVayFffyJIKLd94Y1zqlhJyhxVh51U6oz741RQFsglZdedC0Z8slOcEOpnyIkHBVFBHWjSjGzQiStlS9qJBaTrBOdaAOiaT1dROO9GNEfJ5/OexZ7RRnJumDIjS701THuuloPZOtYNTgsUQ0V14D92fBHb0xMEPyRQ3ezL1vPNLddwulARENaFRf8PD67i4bcvVgcuwOFcLb99+mKe6ZqtXtugW8Iv9l/E73+5ms5iuXD4DtaE9BKaHTvDtGgnE0L9rO1pY/9X5/CbEwuVYmnQKeGNP82n9weTOFGoQmYVbUm3YH47xc5NU5WZoOdrvLlnKq2PeOxJC3k2iByl0LYSutpFBlaNlabPKaW9r5qKvTZnRsuVIsrzdcysGJlYmsuAW0LKyFJmjZGr1imJ54PcLsFzqGgdpOsig+ao+NxjeoGqUIazt9hUXtqpOBg5L8yNs3bR8yWXZVXHFQ+o3MzS/JEjrLpjG+VWVqFuH5iyicZ/OMqNLcJHSJCXs9z9zle4/sNvqHFEwbO4NrWbqz6ykZtbdjPqioNcx+NTba/yiRueJWnmhKmnUaQ2nOYTS1/hY62v4fq6InFeXbmXz8x7WX12snC/qnYf80tPqTXZ55RSFxpmZUqk0QtFjZC0V5qjalTjojHoxskFppVyj507IpWjSNmEiDNDV6MO2zPpsZNKsZX3LaW0kequc8eD42OogrqQPF8PiipdIbwyxkCeUVXmiFJygRyRhkhKLqMnonmkMZ/MGZRGqnLcJ832poS76SomA2PW4nlhlwdzdQrpkhE+7fk6to1OGue+GEWGnBhPnpnH4WztuImmZ3FotI6f71hOe2B3Ic/Y7+9YzQ92X6JyDF103hyazNOPreDXHYuDZjTDoBvn39au4ve/XcXpQgW65tFgDbF1uIWd35rPYxuXK1Kw5+v8fsdCvC9X8lrfVFXs5bwQxcdqyD5RJ6JJgtHQuv42pjxWpP1o/XlFQfpMkrpNDmfHytR+cH0dcwzMnKaiHvKeRSJUYKjNJBnOk9DzwXs+hj4vzZmrfJLmmCINT471cPZumwmXn1RFkBgfbiP99THeNXUHti9MCxN6nltveIPlX36LSitDjy38nlJmljvvf4l7rn01MGYM0+0kWVXZzs0fXcc7m3YIjhSg43FD427uv+LFIHDVVyTksG6r9SibYktzuXfyRmbGzwounyfieiKaw6KyE0oxKEZsPpbuUG2NKMRcupXLiBV5F43vIUO9NulgLhF3MdovKBXygFui0Ljx2I1xhSJAjZnG9kwG7JL/mxv9/8zjbx8RMkYZdqsCKFVsAIkSxIyC8s7oc8SsVI5tJHlVoiXS4l8UJzHFS5AbqMwQUQbnjn4AUmZWhJnqRfqchFJrFTyLnkA1lgms3etCw6TdGLuzFTRFBikzcspmXjoE4+ugCbQG4PWhNqrDGS4IvGl67CT7cw28cHIG17XsxVXS2gLPnJ3D2b4y3jNbeMWENZceu4xH31hJtH6U+6e/jshbcnmyawFnX5hAw1VCylr0TWJGgR+sv5zYaZN33fa68l05lq/mlZ8tYXimx8cveUmp7X53fD6VP4yx68EM72kRAZDlVo4X/3ARFQccjn9pKIg2KHJkrIbkDxLsWVLJO969Oyg2PV49PI2pDxV49att3DVxK/jCvM3YlKSmx6N3bimRsCj0+gtxqnZ5nJ2ShAbxmQHYoyHK+n26i6W0xboZcuKEdZtKcwRD86kyRvDQ6XaSxK0iJ2eZzEr1q4y0sG6jLxqmc3pEKetcX2dx8gQPfbiZ2XVnhHeUK9CU1XMPcLy1glUVh5F2ARMj/ay8dTtxs6DGr2Hd5p62zfR/q4S6UDro7MXn/N7r1gHCgqHHThIxbCZF+5h87/NUmRllfllpZXhPyxZoQV2EIPg5n5z/qjKSmxTq5Xixmgoryyfa1ilUUI45RTCrkEdHNFsdjotLjysIX3aZJYankFCZJt+niUBOF41aM017vo60FsPSHWrMNGlXFKCN1rDK4bKDNSWdZxsDzoxUWdq+gYeuFFbnSr9LAiXluYiFFxyucjRr4IMmw319DN9X+2bc38YUUHyQm5Yw8hCMbaTCDGDQjQvirpHHJrCrCF6D7ZnKPgJE53/uaKkxNEBIc/lF5zJKQ2MsLzuqELO0G+OFnplMT3bTFBmkITBSfXVgOvu767ht6vaALyJGPD/avpJw1OajM94QYgIjy4t9szj8SisLr9lHa6xfKIp8nZf/vAgn7vO5G/5MwRfo1Ku90yh+v44378koBVNCz/P4Myup2uVhf347DWHBi2ofraHkO6WsX1PNnBs7VBGybs90pv48z9qvt3FH01YmhfrYmp1Eal0EJ66RmJun30lQbmYZLMQoP+zQt6zknMuxiK+Db6CQO4Cm2BC7pxmUNIwj7QDLph9l883TuKmsU+xn36Al3Ifx7l5MxJi6z0lQbY2wouIor31d5+6KE8ITLGguPnDx63QsLqclGMvIPXLX+15SiIocz11dtZf+d59U6lD58z/Q9ib1s4Y4ONZAWLcwfFEc3DfnjfNQfds3qLHS3NS0SwVRy0a1zhKO8xND/YIXxPi+lcW7zF8DFN9ONi0S0bF9Q/H6JCHcwxf8JEw1Yuq3E+f5q0ny9qATx9A8qq0RFb8ieWQSDJDqxtPFCjxDV6gTQNiw1d1nB/fjkBtXYbLSn002StKL7d/brKTdGP1B0VMwLMpNIXzo1/+6pcnfPCIkURfhl+Hzh7Pz2ZBuUyiJrF5/dng5m4cnqdGN5+ucLZTzz9vWcDBXp/ggRqDekYTkeksoSzrtcn7w1mU8/PIauuwyNarpd0r45e/X8N/XXRnIPoVE843BKaz/7kV8Z88VWJrDhHA/cb3ADzdcxs5vzWdnupmib54//w3gb8kZOJqrZs8L03hm7xxkgnZ9aIg/7Z9L/T+ZvHJ2mvJEcdHp31hH869NhpyYUgN0FZPUrQfeTioY3tIcMsUwlXttzgyVYWkuocCOXyvqCqkQSNEIGSdCrg4oHXc31jWPtspeOpeFaUv1qvFBiZEnsrSfM9d7lJhiZl/wLOpCabo/XGDOlYeUd5OLzg3Td5P5Ro4bmvYoFGrUjbD6jq1c9ODbVIdGgnBaiwXJ01z8xc18Ys5rwso+cM/9xNJXuOaTb9AW61adTHchScaLUmsOU2tmSBmjVJkjLE0d54pb3iJq2JzJp9TG/mjbG/zdhS+qjllu5I/MWs8lFYfJ+6LYTLtRZic6eGfDDkU4LngWCX2MWfEOGgNOzWggrxZZVkWqzBHFi4jpRaF4M3NYQVCp5IDJAEZJSpZmZdKTCQjWikAak0aW42NVHC3UYmkuE8L9SqkFKP+kfqeEnBdWHlSSxyQ7XOmRJNETXfPVcxW3IxgX9jmlRHSbSeFeEnqeE4VqLM2hzhpW6jH5fUNOHBeNyZFuThSqxWcmvamC15Z2Y+qQloX6qBuhq1imxAMgLsgjY9V0FMoBgf6IIsrkl6cuYl+2HhCNUMGz2JVp4qfty2nPifcmETQ3/33Xpfz8yDIlnbd9gy1DLfzmiUvZkWlGhi17vs4jT1/Ov756iUJnDDxe653Kq99Yzm/aL1Qjr+OFao682MqRf5lBe64WA6Eq3ZqeiP/1Kp7dPB/bMxly4kQ0mx07JtP4LyZHstXUW0OcLZZzMl9J7dMhjK1i5NwW7sLQPI70V1L7VoEjw1XKXmPPWDNooHnClFC+bzXRDH1zTAx93OYg71uEZw3TtVyjITxETC9SZuRYkDzFiXt9Zl58VJFsC57FTQu2M/TlPJfWtitZd8rMsuxj21h4126FhkU0mxtqd7Hsa2/x3qlvqbWZ0Me4d/VabnrnBsrNLLrmcbJYySWJg9x521pum7RDEbbzvsW1Fbt54PIXKAl4eRFNiEBuadrBO5t2iLWk2Ugvpdvqt1ETkKUlwpo0c8wtOR0U0qbiJlqaS7U1ol6bPDPkGS8pBVLW3WOXqbG9ROfl+3iuj45UTEreoTzDJap51i5XSkzbN2gO9ZPQ85wtlKu/W55V+WBcLiNECp6lXs9oEHQt0SDJSTz3taXdKG6AsBc8i6OFGiGIcUP02qXnoTtnC+VsT0/AwFcqvxIjzws9M/lj53zFmQLosUt5aPsqnjo7F+nmX2umeaZrNr94bjWb0q302KUKjfz5juU8/vM17MvWqzWS9yyeeXw5LzyyHF02Mm6UEXecC/rXePzNI0L7sw1MiYoYgLQbo/CvdexI1jP1/m51eL89MpGa74bYdel0rrxzr5LSvtExmSk/cXjhfbOZvKxXERrdQDWUMPIMuCXUW8PCEXV/iFivh7t6nLDr+jqRPh83op+34EK6SyGpEQ6Jg77M6KfoGyTqMvRdUM7qkl5xSQTSYFmJ5wP+hoHP5Fgvm+enWVF3BktzSASH0q2ztvPqF9q4sWmP8JAJirvV123n+OoKZsc6xM/yLEGY/dwOHN9Qf5+Hzi1NOzj89Vquj4n3SY7oHrzsBdJuNDAmFEhaY3iIz9zyZ0GKdJJ4nk6NlWZF+VFW3nb4vOLS0lw+2Pom9iRh6lgILOsbQwN8dMYbJHThECyLshmxTqY09yiUqd8poTXcc57Zoyw2YnqR8khWdWZScRfRbDiHeC3hXNs3iGtFJpg+/W6BCr3A6850zubL1KY8XaigMTSoQmNLTTEeGXZj2N64fBagyy4bV3XpvoDDgy4votv0OEmBMGnjuW6Dbpw6a5hioAapC6WJ6wXxeXsiyqQ5PEjKHOVUoVIVB0OuQBlT5ij54EAM6zY6nCfjTQeBoilzVLkK256JrY27lhMc/P1OIrj8xcHb7yToLSZoi3UrB+3G0AD7xxrZPtTMtdViZGYjOFDPdM2hLjbCBaVnKDezDLgl7BiZwBvHpnDzjJ00hwcUp+Un21diRRwenL0WXfPptMtpH61h1wvTmbrmGO+o3g0IxOTnz1+G5sGH3/GSMhp8uXc6oz9uZPC2LB+ZvkFdBi8/v5Cywz6DH4kxr1TY9p/Jp4h8t5xXbqjiI6tf5VihhobQEOt2zWDyr4uc/YcyZsQ6sTSXjmI5NX8OM9ISI99iKWTiyEAVNdsKHFtVyfLkEVxE6raZC8aObpiUIRCEsOEwWGPQmBpWSiNLc/EXjNBTH6fCyqpLYHpJN499qJlpdWeU3UPet7hy6S62TGpmZUk3wwEC3RruoeeTiSDRXMi4s16Y26dsZ99X65lXKlBhF51KM8O7b1kbZKsJmxALl8tSB7j8rn10BUIMSxMeR5+ctpbOSeUKcRt2Y0Q0h0/PFZmQHcUUE8L9uL4u9mSL8DeSn2eJkWd16Vl25iaqUWSPncTSHZrDA2q/6ZpHR7GCRDAeljEdtm+wN98YmARqijcV0WyOF6oFyd0QIx/p3QTjqeXSKy0ZGiLvWYroWwjOHLn3pXLr3Mw86SAvX4cRFI2iSDSD53qB4k3wwGRhKP3aQKA3Uhlp+yb9dokaC8nPVYSdhikxCiTNHClzFNs32Z1t5my+jMnxviB+QqfPSfDbEwuYW9XJ3MQZdQZtGJhMe2cN7531Fjk3hGWJYvuRbSugoHP/xa8SCSJO0m6U53+1lOycPB9fsA5Lc6mzhvmX9ktIPFbKyF0jfHLa2nG+4SvLaFznsOvLDouTJ5SL9PCvGzFsn8xnjqvC5kS2gtZHfTouqaf2jnUMuzF25ibQO1JC/XqHI3OrmBrvJa4XyLhR/DGD6ICH44ki1/UD0UmdhzWqBUIfG0P3sA3jf+/C/998/M0XQjGjSJ01hBFU2f035EjEhfJBIjTN0UF2fLaRxbXH1WjA0hxum7SdN749hcvjQ+rD77GFMWONlVYbUnYvN7/3dTw0WsJ9wmzOj1AXGuad960LDrksGS9KQs9zQ9UO9n+kl+bQQEC0tMi4UT497RUGp5QowyqZKCy7bT0Y5eW8EJVmRmU1DTol1IeGqDIzVJkZFk09Tj6o/jNB1zCv5BSz4kERFPCJbN9gRqwzQDPE5Svh5Jnxs4ojA6gDVRiKmXQVy2gJ96r3wAr4Qf1OQo37BKoxXgBmnDgR3VZ/D9q41Duhj+EFIOWkcA9HCrX0B7JRCQ3XWcOk3bjiIaT0rDDLNArjJO9gvJQLiNPjqiBXdY3VUdEF9roJUm4fEQ2O2El6CgkcT6c8JBx3U2aWhJFXqohuJ0nKGMXAZ+icsFNpEKhrHjHNFVwUXRRiEiUpeBY5P4xh+sgQzISe54X+WcxNdlAdGqHSHKHPEanOZ8fKmJcUXWzWE2nVjx5dwvyaDuaXCpJjxo2yYWgy29pbuH3+VjG602DUs/jpjhX4rs79i9aRCVzLXx6Yyf4np9N0wwmurd6DF5B8f7zhUoxRg3uvell1jjtHmuj8x8n85RZBLJZr9IkXLqZ+g8POLw+zKCH8q/bmGvH+qYa3lzSy8J0n1WhLjlF2fbuRlro+Job7eDMzleqXQ+RTEdIzYio481SmnOqdNp1LSjFqPGVJoNsC2RDcOI2UmaYuNsL2ZoNUSU6hh7anY8wcobeihJuTp0gZ2SDI1uHk+z3mNJ0kojkkAiXRNQt2s3NiA9eVHVNqyebwAC0PttMa78MLxhkJfYz3TdnMwW/VMSnar/Z7Q2iId9y8ibrQMCljlB3ZicyNn+a2uq2kP7JfcWpAFOzSzPLcYrzSyvDVBc/Q5yQoC8wzc26YOfEzLJh8UvH6xIgzxOryQxR9U61nydeYFyiZzr3wpYu6ixj5G5rH/lwDrZFe5QZt4DPolBDWbepDQxR9U43y5dq1NKGEzQf8FVnQKFIu4nUcL1arcF7pfyXHaRYC/au2RhSPSnJWEkYeK1BHSsM9aSIr/w4pjJCu+NIx+9wip84aRhrPSl8hce6IhutwtoaWWL9QfBlCqLJ/tJ6sG2JB8lQQLl3CyXwFL52azqqmoyxMnFBWFi/3zuBgeyPXX7iD2bGOYHwa4pdvrMAPe9y/TBT1Bc9i8/AkDj02jeLlI9w1ZasqzH65cwn1z5rUP3CU66t2capQie0bvPbIYnQHGj4yTN4PYeCxZaiFiu/EWH/9bFKXZVmWOEK3neTA3mZannLY8eUmLqk4rLhnyV0hwmmfwaWCZpHUC5zMVxDr9RkdNdWI2dIcUvEcw3XllEXzSoRTYuSpnN3LabOK+aFRwUHUxHvr3DCEA8G9FwoQw9M88/kkFwWjXiNYEx+etpE9X2mkJSqCsuXPv2/FWkaXRhQCJ9Hs+694Ua1Z4YXkET3Hbf6v8fibL4RmxjoYdMsw8Ckzctw3e70ykAPocxJMj3TS3DZwnjTb0lxcX+e2uq0AajQmCL6iIJDdaTaAawVkqin5PZ4oOKQ9edoVHh2W4TLsxmkIDZ3HvxAqrmhAhPQhCAWUIxGlQgkgX4nUpIxRcq4gJ7vauGy1GBQLEd1WCEd/MEu3NJdRP4LluxiaR8aLqr+z3MwqH428N563ZWkuEd1m0Ckh40aYHj0rggDtElojOWU0Jmfi0kbg3I6rxkqTdmMM2XFFwIsZBQbdEjWKiesFcVmGRoTjbKGCqZEuFdkhiwwpwZWeE7ZvcDBbT5kl0tJLgovgRKGKHUNNrKw8orhdaTfK2t5pVEayfL7+BZ4fna7m8tv3T2J6WwezyzqVau/J7oXsPtzM3YveDLLdDEadMM+8vBi7tsj9F76mFEUF31CvyUVT1gSP/241AB+98xlSepbTxUo29E3G+VYNv/pgPZ+74GXlgP7HvfOwzoS54PoONY/vLiRJPpxg47LZLL5Z2PYbmse29ham/Nxmy9cnMrGhHx1RiKU2hnEiGiwal08PF6OUnnI5OZgiVlsg4+kYvg+WhxtHXUYpI0vCLNA/06Sxqpe8L3gLZUaO5KwBTpWVcXlkUF3ozeFBnr+7wNzG42ocVGOluf3CLaxrnMq7ag5g+yZHCrVMjPSz8IGdFDyTcjMbOGd73Ny4i7NfE+iMXHdJM8f7r38VGReRcSPk/RDzE6dZ/IHjwSUQVn4qn5yxlv6p4tKUqpfZsTNMW9Cl4mNkE9AW62ZeySlVTOQRv3Nh8qRaCyJJXTQC80pOB5+pTtqJkDRyysgx74eYERN8P0lcjQTk2bxvEmHceVo0MSIUVI47LM1VRZDkcch4CcmBynkhDN1T50BPMSk4TDqqmZAPqe6KaePmm2HdpjXSG5x7pQHn0FCo19F8jfJqEqizpzhVNWaafqeU0wURlZA0x0Rhoo3niQnPnTglRkEgO7pGv5NQ+Y7S1VnGaXRmk1xVu0+RjPudEv50/AKS0Ty3Nm1X1hEHc3W8sm4ei1ccZEnZMSXPf3jbSqweizuvfiPw69I5PlbFhkcvZHiOw6cvfiGQ6js8emAldb8Ic/YznVxceZSkIdD1Hb+eQ2TQo+1zPWLN63l2DTVS999DPH/PLJoWCAl9wbNo39lM69NFOmaWqeicUTdC+X4dO26QWzIeZVL0DKwcpHMh5ZkDUFKWI91Szpyw4FdK1dfwkgKa7nNhyQnFNZ2fPMMvPtbAkon7qQ6NcLJYCcDNy7ayrW0C88sEAuj5Gs3hAa69ZwOjbpiUKcwoK0KjTIwMEH7gLSZG+tW9MOiWcHvjNnIf2a2Kctlc39H8NjRDwhhTCHKlmeHBtleD810UlVlNcJDe2bSDmF4UQiMnRnN4gIJncVGpaC567fEzO6LbNIcGFDfR9sfzIuUeEBYAHj32X9dQ8W++EBpx41igujPJL1Cdjl6kzykN1BeSlClIr0kzFxyyQkUlQwPlQXruYSk+RHH5GXiBeZ7I/cl5YeKG4Btk3AiNoQE6bcFjSOh5Ks0RkWLuCX6O7ZvoeGoRymRkyZGQ2WAhzSHtR0kXK8dVMYFvkMyckYx8AeuKBScl5rLrs32T04WUOiTlrHtvpoG6yAhzYmdwfY1jhRrSTpTOsSQXlp0k40Y5UaiiNdLLk10LCBkuKyqOqBDYM4UkP2tfwYUTTrEq1U4o4BRtH5jI2kNtfGDem0SCMV/GjfAvr1+BUV7gOwv/xMRIP6X6GE/3z+XQr6ex8cYurqrbD6D8QOSj3MzSbyc4PZbi4Pdn0b0EHrzsBWXU9/ieC2n9mcfLXzF5R90epUob/FUzg8Dznz6D5+vUh4c4PFTNlF8VOHRHE9es3qs6zr3bW5jwqsuRmdXK6M/UPUqPQcYJYS80FI+nRLeVwk6oagLCb71AxtJODMwc1dYIbckeXrysiWl1Z1Wh7fk6iyafZH9pbTAeKFLQLJoig2y4d5TFNWeDw0scuncv3MTGia1cWnVYyWBTZpaVH95COEi9lsTGG2p3cexLnYFzuBl8/gafW/qCIiQbiDU+N3GaZXcdoeibIjPLN3AdnQemrCXfKjhYUlAQ1m0+Mec1dWkIIYJOXSjN3RM3K6WPXF/zSk6pxsPAU4G1k6J9GMFYTkqlhzyBJFQYo2TciOLmHS3UCI8XP0QEgRAYisg9Hija4yQDfyf3vDGt5IGIYNKYeu0yrHTIGSd/St8eOW4tCYz+5O+QnC9AmVfKsYjcDzKmRNdEgSHUWYXzHIfl+yFHLpKwaiN4LeNGnoPCpV3z8TydrekJXFDaQUu4l8P5OvK+yaHROtJ2hAvLTqn3pN9J8OSxecytPcuSsmPCHNRJ8FrfVNqP1nP34jeZEO6nxxZF1urYcV7PTeTt0RYawsNqz+U9i3BgEhjRbPJYPPyXq4h3aNz84XXKVuFApo7Ob05m/eUGD6x5QTVKG96cSeOrLru/nGZJ8hgWNmknSvkvSxhuLSN3d0g0ZHi81TWBlqfH2D21niVlx9RrCJ21KD0OhSvNccRc80EDDD8YjYn9MLFykI65zSyKjWDpjiJtF1aNkM6GFIm54FlcXHWUpz4d46LKHhpDg2TcCB3FFLevfpO35zazPHU02Ns5GkJDXPZhER0iPZd0zefCslPM/FQXDaEhQppDRz5FY2iQe6dupDDZClDiBE3WIHvGmnhw4VrVrOiahx34tn3yglfFXRQIGQoBnaGuPq1UqlLN2RwWYoOMJ7It5R0zMdIfNOIxdVbK4l+i5UKNK8brZUaOYoBgScPJcSWYqdA0uWZlLpkdrOVzxQKy2bd0qWzUFQ9SxlhJ+4QyI0dHMUVY1xTX7a/1+JsnS8sPXMgKx1U50klTylBzXlhlFMmxiyQmi4BFsUgFdGvTVUwqeaCcIXfZZRzLV2P7JlXmSGAAGOXQWJ3KDqq0Msp5+oXuWezONmEH6fRV5gj9ToIfH7iYrmKZUhrkPYtnzs7m+ztXK8TERaejmOLHGy/ljycEWa3LLiOh52nP1fDLx67gd2cWBOooQQb+l72X8OcfXcKJsargwM+KnKHHruGF3y1RnXXKHGXb8EROf6ON3799IcNujB4nSbU1wtMbF9L3jUlsT0+gwhxlTuw0B3L1pH/eROevWhQPCKA9U0PLD30275tMSHNosgawcFnb3kbNi8KvJ6zbHBmrJu1GKdurE9kRY1NmMrZv0O0kGbEjhEZ8BnNR6qwhNSaI6UVyblgpHpJmjsboEH3zNSonD6gcK4CFk05x7NYw81Nn1GtLGjm4pR/j1l5sTxyk20YncdfELejf6Ocjq16lNdSrSI63r36Txi8eYWHyJBlP+Ms0hwe45L63+MCNL6viSLpOS3WELKR0zefBVS/y8VUvUWOllcnkjFgn91/3PFdX7VVrDmBVeTv3T3sdIY0VY4Y6a4gPTd3I8rKjwVqMkXZF/twt9dtFsrrmKSRkRqyTmbGzKjx01I1Qqo+prl+uf6mQTOh5mqxBJam1NJfOYjkRrai684JnqfBc5bAbjEYlSVtmEUn1iYTupVxcZPMJftXJfKUy+ZOPvCfGrxkvEoyUxxhy4oqErWseI140KDj888Y40g8IxpU20tU3phc4lq8mojmK/N1llwHi8pG+NTkvLCwlXOGVkw/kz4eztUipsjwP9mYaeW2gTdknyAtZBoPKsV3GjfBc92wefmsVBc+iGHD9cm6Yh9Zezo/2XywI6oaIkvndmYU89cgqdow0q/dF1zz+9McVPPXECjW+znkhXh+YStfXWnlk7zKG3XhwIftseWoOHQ9PZjDgFwLsz9RR999DbN46TSE/luZy+EAjk37rsT9Tp9bEsBvj+dE2AKZEe3F9nXIzpyTfaTeqODEGPnaFQ65O8N9k0beo7AQdlxrEJoyo9yKi2cy58BhddxeYFu9Who0TI/2E7+9ixk2HmBDqJ+1GyXlhbp/0NqXf6eDdk7epMzmi2bz/hldZ8/E3qQul1dqrC6W55oMb+O+rnhAIuxsRXkN1u3nPHa+wsPSkGBMiQkk/Mn0DH1+4bpwT5AkE/94pG1hSdpw+J4Htm6rwvKF2FzG9qCT7ICJ/msODSqEpR3Z11jAG3nku93IPyGlCp12uCmfbN+i0y9X5VmWOkPPCgVgifp4YQpjoiv0VMwoMOnGF4ovnCPVZ3hOO3XKfFDxLjbBybljdhbJAlRE55xZKsgiSflFyGuKiKSdyKSSSd26/XcIF0dO052rpKop7qbuQ5PXBNjJuRH0uBh57Rhp4pmsOR/M1qhiU59Nf6/E3XwjJD7DMyNHvlPD9fav58VuXKPKxDJT7yfNX8Pk3bwZQVvR7Rpt44pE1/GzPioD0Kmbtj55ayvpvLuHJM/Px0NWY6rHXV7D5m4vYPDyJYrCwCp7FG/+6iPUPLVYdsIdOe64G+x9qeenFhTRZAxwr1DDsxvjV/sXU/yTEq51tRDSbKnOEQTfO0Ppamn5jcnysSh1UvcUEtet1nDdFnEBrWBiFdY0lSR1y6B1KENIcDE2M5ZyigW6D68vAvRA6PmM1HvlKsYgtzSWhj1EdHqVzuUlt4yAGHk2WuOibp3dz6g6XyfE+jheqGXbjwoH1vT3E3tWtsrhcNFZWHqb41TS3L9pC0TfZm2+izy3l4wvWseCTO3lnahsXRo9zWXI/rZFeFrxvD7NvPEi5lROKIDfMVdX7uOqz67lt0g4G3ZJz4h80lVwsL586a5gPXPUq907aQEQTPIS8b3FFxX6+cNlflMPrqYKAmD895WU+MPFNZUgpUrZtbqvfRkLPc6xYje0bJIwxGkODqhsV60MUBq2RXnUwZgIDvoSRVxeM9LcpC/xghs65lKTrqvS2kcW54GvFCJ1D2gQRICm8VcZ9UCrNEYW0SNg6oQt3W8nTkGTtcECmLzNk/tG4IkxeMAOBPFeaXCaMfHAIj/vlyN93rnR3SribvG+qwkJ48YgDu6soVJSTwr30FktF4LBTQq9dysRIv/LByngR2nO19NhJhb4MOoKzsWekQQkFIprN2WI5jx5ewsv9M4J1K4qbtf3T+Kc3r1RKG9EJR/nntVfzz7vWBEWg4Ac+0zWHZx6+mJf7Z5AyRtUI6adPXcGvH1sjRhwBWXbL0ESOfGUGP9q5MlA6iZHVlj/PoeOnkykE6JClufQ7JUoV1mWXUfAsaqw0x/Y1MOm3HgcydZQGAZ8DdpyaLaAdSARdtPAoGy2EiPZ79OfH+Xm2Z2KX+BRSwo9nyBGXY100TecKi8m1fWrNxPQCJRf3MviOHHWhYfUeLS0/RuGLw8xbcHTcasEc4bol26n5+nFWlB9lJBiTC4O+cBDbIYrSSitDTC9SaWaCKJ6wQhY/sfwVHrz5aeqsIcWzLHgW917xCvdM3aTWRM4Lszx1jM/Oefk8/p7cexeVHWck4FJ2FZMkjTGurdqjTAVjehEjID3LiBwQyLzriwgb19dFtlYgkpBUB1HICnKzRO0BdTZLg8ecFyZhjAnKQRDJIX/HqBvBOEekIRF0qWqV4yb5twHKZFaMkjXVCMnxkPw58iEbwRIjz8zYWU4XUuf8zJBCeAedEmJ6kVnRDraNtLBrtBnbMykzcqq52JepZ1+2Qe3Zcx/ifXeUGOZgto6HN6/ibKFcEcJzXogf7lvFQ+vWnO/N5MT47Z9X8ehrqxQdQtc8dqUb2fLPC/nO8asot3LqffvTrvn0fGkSe9INwbkSJe9b7H++Dfefazg5VkFVMNkYDgjof63H3/xoLOeGqDVHhYEYPuaOBGUdHul5YrM3hwbIexblB2CsKoS90IRgBDXmWsR6PNKjlkJxIrpNyHDJJHWSpqPGbQChuiz9cxJcHBug3ykNOn+NkSVjePa4B0qpPkZ9OM2r73GZVNdDt5NUpN53TtvJiw9M5/qGA0R0mz6nlISe58qb36LrmiQTIwN0BzySpYmj6J8SVXVEF5EeluaypvIgx77Uz+xYh4I2U0aWj857A3feOGclotmkzFH+/sqncNEJaQ5F36TbKaMt1s2s659WzrNS9nlL43aMRg/plgxivHdr09vAOAnbwKcp1MdltYdU930wW4cdM5gQ6mdu6jQXhEaJ6RYJTQQ1Or7g+3QWyhh1QtRFRqix0oEUVlfqg5wvDvCYXhT+QQGR0tDEWESOa6TE1NDHs3gsbdxLo8cuOy8sVB5EcqPHtDGFgMT0Agl9jB4nqS5MXfOUUs/AUyM7GdshFW0xI0+PLRA+GWEgfo9IhJdk7H4nAfq4EkaSWCVPLKx5igga04tMjnQD0FssxTZNIrpNvTUU5GwJZ+Q9dpPyPpKjn9cH2miKDjEt2oWHMC3cOdpM+3ANNzTsEuvDF/lL/9q+hNbKAa6u2qt8VWTSt1z3Mb3I8UINP1m7Bj/q8sUVz4Amvv5U11wGnmwkeXMnH5vQR7mVFbLzzRdjDZrcc+2rJI0chuaxO9PEnn+bxcjKMR6Yu1YR1F9+7kJSBzwm/10fVkjw1I5lq6j9YZhdV09h5dVHlKvwzgMttP7OYcu0Fi6rOIhUZ1Vu18k0x8jNCpMKjZLzIGdbhId9ElaBkObSa5eSNMZw4j6+ITptzxcu5jNKu/njoilMqu+mwhDmq56vU3f5GdL5CN2FUirNUbG+AqPJQSdO0hhTHJwbl2/lxLwKVqXaATFOa4t1M/KJvVSFMiJHzxyl0y7n3ZO2Ef6S8F4RsRM+MaPAh655WWVZhYO4jjklHSy4+RQGHn1OgiozQ4+T5P7W1xh0StS4Xa6BT096iT1jzdi+oVRtldYoM2KdAXKnnZffJgumlDmqYhSkI/65QgiJuue88eT4cx3vxVoXOYIiwFdc5vJyRRs/P+S4ZW78NEfzNRiaJ7L+3DApcxQ3GNvI4irvm8pjrNcupczIBc7nvkIr5esMB8pI+XsljSAfnGmy2MgVU+iBZYmU2+dcUXxJh/JyM0tXMcmoG6Y2NBIQv236CyVsHpxEc3yQKdFeFaZ8dKya9WdauaV1pzqHcl6YP3bMpWewlLtmbiVp5ohpwsz2oVevJDRhlAdmrqOrWEbSzPFi12yGnmlg4s3HuLp6L0NOnKNuhDc2zKb8IIQ+uo360BCW5mDpDsd/3Mbeep2m975Eysiq88c7R2Iv8yVf3TedyY85bGudQGWNCEwN6zb+4RJq9vv0LhUcU2k4GkqDZ4iQWc/XQXOpjWRob9QxvHFJ/YBbwsTmPk5dWc+7SoVzfN4VBO76S89wZm4Z15WcVWsu/P+Rpf9rHxXWqDIyrAsNc9ktW0nbUYUORHRBcr7oY29TbuVoDA3QZZeT0Me4sPQEqc9lmRjpD7g5olO4vXEbow8Krs+pYqXyFvrM7FewZ43L/mQK83+78DkVFSFdqOtCw3xy/qsqgVte4NWhET7b9rIyzJNoU1usm7ZYt/rZ0ptiaeJI4Do7jjRYmqNs5OUBqPyUAmsAKfEWKqcCGbcEWzPUjFtykdJuXKFqOULKzC+s26TtqOrGpGLlXGJmxhOzX5nd1RbrocZKU2GMEtMLtNsiIHFXfgon85UkrTHiRpGsG6I11q86qipzRMHQed/E9kxS5iinCxVUh0bUzDppZMn7IQqupUYvwrBMDzqvscCEbpRBt0QdAjkvFKAooiiQM3d0MaZJmaPkfYsDo/U0hIfPc77em22k4FlMjvUo24VRN8ILPTO5MHWKulAaGR+yYXAqZzJl3NS0S/FGdM3je1vWMKm5l1sb3lbE8jf6p9K+dSI3rdlMa0SM6DJuhEdfWo1bWeS+C1/naL6WhJHn2Gglp381Gf/6Ae6bvF4hOg8/ewWJ43DdR98QbsSGzbaRCXR/q5Ut12rct2ItTdYgp4qVvLZ2LjVbPQ5+vo55JaeZFOrluaELqP5ZlPaLW1hzw0H1+criTFww4tLsKpaRbNcpJnUGl8aFOssYw/M1Qhkf1xNy4BpTqC2NhI3taorXYfvCGfuNOR5XTjkkxgTFchH0uqyDjmllVIeE2kQSmn/1YA2X1LSrPRLTC7xr8Vbap9ewPHVUrZnG0CCXfeJNwvo4OqprHnc0v83g34mYhwG3hAWxE+wba+IzVzwDwJRwN+tHpxHTi7SE+7jvXc+RMMYYDhAF2ze4pnYvk0K9HMw3qMJXjhhiRoHJ4W7aC3WknRhtsW4uiJ9m0C1RBnqerzE3cZoKQxRAPWNJkqa8xIVqUWTtjfOPgPP2WMrIUmGOsnl0Mo2hIRJ6noNOPUviRzg4Vq8Sw0Fwm44WaikP1F19TgLbMxXHUKpVJV8y54YVsiCKqnGU00XDDRAziX6jecokUPKpJAITMcad/GXItCgcc0FhIgQfUmiQdmPkPOHv1GOXouMrewfpkL8r00xLtF8UR+jMjZzigeO38Va0hStqDgR8G4uzxSR/OTybFROPMzvRQZU5wr6xRt7sm8TJ01Xcc+FGxQfrsUv50ytLKGkb4q7WrepcffrMbHiykuq7T3JdzW66igLt+/NflhM/63PpfZuVHL6vmGDwexM4eOEkptz4vECJMHjjdCuN/2jw1OfncO+UDcEZG2ZoYy21B136piQEL8mLMOJEqNilMTJSijHTU3yyvGNiFHw1wpa+XFrDGKOj4r2WQhkDn57VDlbMVkWGRKxkISuijCIkzRw3zd3Bti9O4Mqqw4pDNy3cxQ3XbKZ9RQ0zYp3B5+aQNHPc+r61ajQmf35brJtJ73lRrRND8zgyVsOtDW9DA+pcL3gWVWaGm+t24NYFUTe+FnBGQ/+P7vf/qsfffCHk+SJnRw826/z4STJeVBUGGVugBzNiwrVUdjI9TpIqM6MKivQ5Y4ZQAMOfKlaqA1+iBlJVJQsESb4UpnUJtWjlQswEEuyIJg7PGitNt5NURFuJPEgH25Q5SkS3GfUjVFlphpVM1VGRIbJLMgLCpucJslpCFzljCWNM+GGgEdNs9TdLCaQsEBSxE59YcGhnA9O9iG5TbY0o5cQ4/2NcLi87Py9IPzfwmBnqZH+xnreLKeFVYycoeCZZJ0zUKGL7OkuSx5RPiufr/KlvPguSpwPI3SFiOOzJNrHuxBTeOXUXjaFBhVw9dmwRyWie6+r3CB6AUWB/roE/v7aYhRcdZkX5ETJeFAOfn+xfBkfj3HLNRqoiYqR3ulDBM08sZ7StyKeXvBTwbnx+fmgZyd8maL+3g3fVv01ML9BRTPHKby7CHPOZ8NGXSQd+L891zYIvV/DEPdV8bvGLCn3b+3IbqYMu3X+XJBkbI6zZ7BltouVxn1NX1pOrk/4mHgdO1tP8msOxJZW0hPsU36HkjEZ+LETyojFyWggZ4IkP8ZCtRisATm2REU0EytZYaQadEpqjQ2y8UqetrYOEnmc4IFBOXXKSk20pZsXFPui0y5kc6+XoZ6pYXjIYFNGFQBU3ftm76FgIbstVH9xIzCiqiJWMG+Wm+p3Yf7+HemuI/WONNIREAPKDc9cy6kaoNEewfZOThUpaI708uGo8VNQyBZpzS/128nVij0R0W/GdHpi6VhS+wWgipheZGummNdKrCMcFz6LfKWFO7AwDAdlUIhwlRj7gdjl46BzMNxAzCmS8CFVmhkOFemQ8hRz3ZoMD3/XHkb9up+y84jDCuG2CJKxKF/Zz8/Lkc3JumDOeUGPVWGnFMxnnL4ZUUSF+hiDShjSHISdOvy84adKz6oydosYaYW++SXwt4JzE9IKyJAAY9YV7uBSF9NilaozmIVDdtBvlWK6K2YkONSoZtJNsG5rAnORZ6kJpxW95Oz2BEyMpbmjcozgknq/z873LKE9m+cCkN7Fw0DWTdf1ttG+dyJpLdjI1MDp1fVOYUzoa77tyHTJQ9e30BI7/uI2h63J8ZNZ6sRfsCE9svoimlyH7mSMsKTuOrnk8MbAE69cpuuorse7Zqzhrm3pbmPhDnQ33T2LqzB4RiWRlOLOnjrqtcGZ2ObPinep8jp/RGC5PQOv4XaJrPo4FMVNwbYRSTaMwKU+hXBicyuDc+sgwr97g0lDXfx4f9dpJ+3nqwTnc0HxIcKlcwY9bdf0OBq8Snl/9ToI6awgisOSBbYrP1GULc9s7mt/G/bim5OexIGrnU3NfYXBWiQrVlffJ55c+f95IHlDrVQoBIsF+rg5leHfzFiJakS67HF3zhL+dkWdN1QE1QgcxopS+T7LpEO+TKIYJ+LZZL0y5KRp9iZZKdFw63Eslt/Raixl/3ayxv/lCyPHNQA4uquCeIC9MJgrbiAIgHtioJ/S8Qhikq6bkOlhBxIZEemRF7QbdkWDDD6lCQPpdiK8XlFRQjo4MPGwEMVQqjobdmFoYCWMsYO+PZ+GIRSQuorxncbZYrkwXc05YyV7fHJ5MW0mPOthcdE4VKlnb3cY19fuUmVnet3hzaDKnM+Xc3rxNHcxh3ebhvSuYVNPPTXU7FdKzY6SZTW+3ceOybdSG0+epbwqeJUJX1Qw5yjO/Wc7odFFUlBpjvDk2mYfbV1D2WIL8+4e4sXk3ti4Kr7VPLCLW4zPps/1UmoL3syvbQN/XW/jZVVP4b1f+SRFEX9g+hym/LLD+K5O5d+J6euwkg06c0B/L6WvQyN0uDpoYBXEIPlNkZ2MjV1bsU5+fdzJO6hAY13oUfVN00nYd1ogPAVoh/XAqS7IMNSRpiY6q9zNh5BlbmMMZCSlSIcAF5Wf5/V31rJjWLkYzvsiJWnr1HtqXVjM73qE640nRPo5/oYs7U6cET8kaZGu2lTvmbmVstlCKuejge9SHhrjxntdJBJEQo34ENLikop3cgyfOM3cseBYfv3Ct8DzSfDptYSHREu7jS2v+rC50WbxdW72HXGV4vLNHkIzvaNiKoXnKQwZQnKwcIdXpglCnhIIgUCm/LbhifQ8H60IWIeeOVUQcgAwfddT7C5w30hEkdf0cNES8h2HdxnYFmtdllwVjZkfttWprZFwuHvwsic6CiM+QvC/bFyNsWWzJ1yj3rFRy2b7BpFAvRwu1HBmrodISmX9WUPDLtHVD90noIl5m/1ijIn/LRsn2hbu77Ruq27Z9A9szeaFvFqurxRitKTzAvrFG9ow00J0t5dLadiqtDOVBWvo3tl/DtIZuLqsS48BRz+KpMxfQcbiaW5ZvEVlvgaGfjEKRyI2BxxMnF6L/voKae06wquIwVuD6/cwflhIehtZ7+zAMsb7bR2sY+3o9T9zZwOcuegGZm7ZlSxvNL7sc/koNa8r3c6pYydlCGZXPRhiZECM9IaqUrCcGUlS/7TO8LIoXFWGdYtQiPndpj2FpDnGzSLZBJ1kyFnwWQlXUMKmfsxdXc3FcIvY6TZFB1t6cpSaZEWKTYEx+XcNe/vD5eVxec4oaK00x4HRdv2orXRclmVPSodZnc3iAq9+/kZKAgyjHfndN3EL6/piyAZDj4S9c+DwgrEnkHVJvDfPJRa+eV8jKoNIHZ68FOC/CaU78DMTFezDoxtXanhjpVw2AHJnXW0McL1apgliuo5heUIWJdGiX66wxNCiUx2ZReTfFZMbXOW7Usrj3NE39vlPFKnWHupoYd0lHeFmwS1d8AEMTprxinC9sISSaJcVIEhGX4/q0G1VnQkSzMf+/0dh/7SPjhklqeQUtKxjQyCFzxizNpaOY4ky+nHklp5Ub66Gxeg5na2iMDp0nr3R9nTf6ptCW7OGC+BmluNk20sJvuhdy7YT9TI12owfw7Qu9Mzl0upb3z9ukQlX7nQTf27wGM+bwkTnrlaLitYE2Dj4/lYpVXVxSe1jNqB/dsYzaFywmfeIQ767erOD5J3+/klAG7vvIU8r3Y/NIKx3fncLWFW187KoXVZfzuyPzafquxm/+fiFfnvGcKrJ2Pzedql027V+rZWniKBkvwpGxGup/HeLMnAmk7zxE0hjD0D22nm5m4rMuW6ZO5Nam7UqKqmb3gRwyYtiMumHCQz6jjgzjE1BuPFxkrFxnanmf4v+0Rbp4dv4sct1Bon2AXtWHh3nhRp3JU84GRnJi462ee4ANyVbeU3cwQEU8aqwRGj5wlJDhKtPHnBfmuoa97P5mI9eWnVA5Wo2hQd571Wv0XyacqiXiN6/kNJM/1kvKyKrPNe3EuKVxO/YHdokC9v9i7z+j5LjOe1/4V6lzT8/05DzIOWcQgQRJMFOMEklRoiSKEqlEiaKtaMuyLNuyj+3rcyxZEhWoyCCRYibATDCABECAyBmYnFNP93Sqrqr7YdfeA7z3Xe97zz2++sB1ei0vwcOZDtW1936e//MPmqvIhV/1nXdtH2EDaAqM8Z3NT6riQYZN1panWBrvYsBOqOI3qNtcW7tfFUxnCrXEjDzVZtovsHUlRbU8h6bAKCknQtF38x0rRUkYWRqscZEK7ns5RfQCeKYaA0l0URblkn9zLg9EFn7yIfgSJeV/NWVY6VFuTDJol2EjUEpLc84rHIZ83pZ8nMs7Ad+iwR/pRvSCGlUkzUlF4JajE3GgBc47lGwf2ZEqRWkcGNGLdBaSKipCKI8Cyv03ohdpCIwx7kTExqwZymNstCRGVmezVRwfr+HWlt2+UkZIj395aB2rWjtYUtaN4+mcKdbwRM8Sus5Uc+vad4gFRRhqdzHJQ09uxp6W58vLX/FHfybPtc8n9HSC+juEmWVIK3I418S2h9eBB7M++bTyDNo2uADvn2r4/efibGw8w7JwOwAHX5hD1SGHiW91kDCzwvcmV0XT70yObWnl6isPICMiujqqqH1XY3xNmKaAOJiEbYIYb2b8gtdBpzycYyihETLE3mf7xPTC3By5SUuZg+qay6zYIDtvncGq2WfPO8zXrDnOydnVzI31MVQqI2FkiUXyDH7+BFGjqDiSuudy55ydnPqLGlpDI+r7szSHW254DSHYyPvIWJB50T5WfKJdWTBIGfhHmt8j32RSbaYZLcUUef9ri7YDApGWOVutgWE+1HJApKqfQ5JuDI4zJ9JPSCsyXCoj71okzCyNwTGFjMtzI6TnCVkpoYjzEUJ5LztoyurE9gwOZJtFUeLqTAsOMu5EyZYCBLHVNEI0T6KgQkNFWqRKYarDabXfAbQXq8i7FgvD3fSXEvQUKpgb7jtPJSkJ32rkpU3xp+T6LviquJQTFtQGPHVP2K6FpdscnWykKTgmmmtXoM5ZN8j2gflcUXdI2WXYnsGRTAMnx6u5oel91YSnnAg/P7yOysQkNzfvU6DBmVw1z+5YQfXcYa5uOkSNNYGBy6Ody7GfrKb+1nYu81GncffPG7HxgVeNbe+bR1QXxn5ZJ8iP37mQbT/cwLsT0wGU6uaR32xh74+X0l1MknctAppDwTU58YMFPP67zdieSdIQ8uR3xqbhfbuSZ95eju0ZJH3OyyuH5tLwPZ3nO+cz7kSoNDKknAgdL7bR+nud3kK5v7ELdKrmdYvIuwIJkkqedDFE+WmXyaLFuugpNseOcVn8IOXJDLlqnfpQigk3xLgToaNYhV3mkavxOJBpVu+90ppkYJVBYs6oQinaAkPcPGsfJz4b5IrWo4w4McZKUbqLSWou6mHsM4IsOeHHAcyP9BK8r4+1HzqgCHYOOh+dt4em757g0vpjJIxJtQiTZobhUly50uqax5JoF1d9aQdfvOBlpbTRNZe7p+/g5i+/xIXJ4+I6mBOMOxHuXfIq913+rG9JIDopx9O5b+N2rq07IAwE/c+zKN7NfUteYnaoTxmQAWyqPMmlySPncIrEaHJ1+VkMPEacGDEj73O2ij5BNOh/PqnaKqqRn+z6onpBbfhp31NHEitlESQdc6UMV/xuSJEw8/6oEVDeHRJ9keiFLM5lzIjraTRY42QdkSUnYWW5QUp+zLgTURJi4WHjKWmsLEDlw0H3s5Dc84oJ+b5k6jlAZ7FKfU7Jf8l7Jm+nZym5t7yfewrltOcr1evIcelTA0s4lqtXVgQhzWbn+HT+1LkEEIiMVKv95PAGtvXPV+/JQeOFwfn8ZPulghTurzeA/3z5Un5+eJ3qIrNugKd6F7Pj39byfP9CofjT89SaKR7/w0ae+vVGQrotDhgnqHhjSV9MIfO43nhlEcYPqziZq52KE8hV0fg7i11vzyWoC5FBSLPp6qqkZqdBXyGhJPUZJ0i4X8MbC6ixUdoNkQjnsaMaZVaekCbk1HEjT2ZOkcyM0jkjAp1FFb2cvUFnSW0PC6PdtNuiK59z8Wmynxxjuh8eKguFsq918aGLdnFu5tvH17zN8nvfp9U3vpSoluL4+N+npTlcUnOMj392G1uSx5RCysDji8tf5b6N25kT7KOvmKDgWjQGxvjGBc+xOXnC58WJnL0lZd18edbLSlI/XBJ+NZcmj7Cq7CxwbtitwczwoJKOSwVVrZWiITCmmpCgQkI8eooV563PrBtQDQCgxoejpZgidRdci3prjKGS4BjJrEd5OMvXljEosuCTEnb5nrNugEozQ9oNqUBiWXDUWimG7TgpJ8K436TEjbxC/uT+JAt5GTIa0mzFu8o4IXZOzOCSmHAkP5WvBeBEto5tQwuF+MPMcqpQy6Bdxlt909k9MU2MzHyrlRPZOv79ja0cyDQr3pauufzy2DoeeGarUiUWfEn97x7bwi+3bWHQLlOeeO+mpnHgB0t4YPdGRYi2PZOfHN6A91eVPNK5Qr13S3N45/lFhH5QztHJerWHDBbj1PwxTPaFWv/7EqKD7mw5054uMni6khprgpAmBC65okV42KUvHSdu5JRv0Z/z8YFHhEbTEXrtckK+TbwRKWFHLEzNJa7n1UwyM6NEvspQhcqkG6Q5NMqftoBemVVKAwOPC5Kn+fEnm7lg4XF/vCBgwg+v2MOTX1vETa0HiOhF+kvClGzz9XtpvzTJhYmj9NoVZB2RxbPqS3spM3MYiMyuiF7go43v0P3tSkEGtivVQXnr9D0M3ynyzQ5kWyi44nC94uI9tIVGhBeEK0zbWoIjfOzaV6d8TRA8n2WRDi668CghzeaZiaWM26JL3lRzimnBIRxPP6/Du75+H+c691qaQ31gnFq/K5LKMUm8lh2/lHhnvRD11jgw1TWBKCRqrZQqKHr83COJWogxpZCKTwsOkveEXFQS+mQR4aAz5LtNy0Mz6wiXb+mZId+b7RlUW+MKCagwJ7EdQyEq4Huh+Bb+luYolZT0VBGbY0GlvosQxoS6HnIOL+TgYrOXobcBraTS7KXlvHzfw6U4jj/Pj/j/Py605ytpDI7joKvXOJ6tw0WjNTSiPuewHWfH8ExaY6Msi3Wqguz9dBN7+5q5ecY+kdXkmeRdi58dW49lOtwwbT9VVpqoXuDBzvX07K3ntit2MC/US0exiqwb4NHHN5OvK3Hfpu1qo3uyewnOr2vQPz7IbS27qTQynCnV8My2NYQGNa76hOAKocOrQ3Mofauapz7Swpcu2UbcyFFuZHlnzxxanytx9O/qWRrrFOrKUojqR8P0Lo3i3LCfpJFhuFTG0bMN1O6FoQ1x6gNTnyOQ0iiEpsZpEb1IyLQZL9cImuJnec/CdkyK83PkJoUZXJ9drgpoWbjLe6vKTLNwwyk6FlX43jCC/3Bh+TE676vg6vJ+9b4szeHO1W8yvCxGS3BUQf31gRQ33v3KOcVlgGZrlNtb3qX7ziTLIh3CidcJU2NNcP+67WSckHJWl88hnZElETWo21xefQirZup5ZS7W1TUHlGtzRC9iI4xGhZJNqMakkar0VXLPQTQkmnEqX6vsHxzPxPILp6FSGfWBFMM+/7HcyKoxaNYJMj0wRHcxyVAp7hOuRWPQFhhmX1Z4qNVYE2qdy0IeoNzIMlaKsj5ykr25aewen8aaxBnVoOQ9kwgFWgIjjDpRkr7LddoJqUw0aXhZbaRJlSLkXWHqGdRtasw0+ydbCBv2edmLsug8mGlkRmSIiF5kUaibY4V6nuxdQiKQ58Kq42qdHsk18utjq1lY38eq8g6FJj4ytIoju9u4fsu7tIWGVQHxD29chTlqcs/V24kbGTJOiDPZWnb9ahnjK4rcu+YlIobYX351fA01Pw/zzfsruaLukB8I7vLaE8upOlTiyF+PMDfch2U4nJisJfY/ynjrgkpmXz/A7FAfKSfKzt42Zj+Y57WamcycM6CmHcX2GA07Hfq3lFHvx8uEdBsrDZoruDoSJUwGsrzfYhCMZ5XpZNTIsqihl4NXzmJ9xRnlV2ThMO3Cdo7NqOPKaJ8aWc+J9HP08100WAXFr7M9g8urD7Pj+zYbo4N+YS6+30/PepvObyWpCUxQbU7QXUxSaUz8rxz7/9OPD3whdOvs97B8s7SsG+ATi3YSWSIOeoEWiEX5jc3PqC+y4Fr0lcqpt8b56sXP+d2mlIMK2PjbG58WKgf/S06aGUJBm88v2IFMoTbwGHciLI52sTjaxbhviiVdd2dGBhQ8Kp/LQahNUk4Ex487kHPbpoBIupcbinQAlY+QWaS7WElesxRPR86nHTQm/DRuSytRawmpZ0+hnLwvEZcE2JQTZk6wj33ZNt+9VnS6PcUKFoS76S5WnueVETJsNeaJ6zk6fadrwR8xFXFSFkmSCwUoHxpZuIyWxKhE11wczyTthtWIRDfc8zqrgmsxLThI2hGmlfWBFJZeUoaCIv1ZeNQMFssUaT5pZghoJQbsMnpy5SyK95wXvbF7vI2oWWR5XEQqyGvyxNnFXNJ8nMbguIDSHeHI2zGY5O5Fb4i4AwQk/8D2i6ldOMiNTe8LJETTeOzsUnL7K7j8qt3Efe7ZaCnKI3+4kEKly5e3Pq82nz90L8f5WQ3vf3qQG5r2AWJU9coTK4j0e9R+6XV0TZB6D6UbKP59HS/c1MjiTd2ENHH93np3Pi3Plzj9N1XUl49j+e7LicdipGbq1M5OoWsCfeoeLqfqoEfnhUlaAiOq69aLYEwKpCppZEi7YZLhLGebdBoDYhPvtSuE0eHsDBO1QSqsSWVtsKHyND//XC13LNrB0lAn7XYV7cUqli47zenWKuZF+nA94XM0PTzE2XvPsDicptwQkS0OGnevep2ORZXMDA8qw8haK8VnbpgqzqTy7KraQ3D3IUA4NLuI937/shfUmg/6thSyAJDjR8mB2FR5klCVDJ/1iGhFBuwEl9UeIWFkSTlRZVNgaY7v3Ov5hH2hAJXjaIlsTfrcvqQfKSJk+TmG7ThVVpqEkWXUiSrOnVSNSURS14ST/LgbwUGnLTDE2UI1Gc1VGVuyWIIpVRmg1oPkTskGRrieawoBPJprUFYLcs3JfVM6b1f5pp3nxoFUWcL80tBcxkpRxScJ6jY9doV6bfkeZRj1u2NtbKo8yY7UbBbHunk7O4uzuWreH2pgdnRAEbyzpQA/2L+VcMjm07PeVuGjJzI1PLpjAzPXdXBV7UG/oA3zs70bCB8PcvWHRQ5cfymBrnk884uNZFpc7rrsZSXe+N3ZlST+Pc7eLzTxyVk7aTXH+PXAetIPN5AtQvuXR1gU6cbA49WR2bT8u8GBq2dxxXWHWBTq4tXMfA4ebWHmE3l2LpxGW8uwr7p1CHVbxLo8slcGSDnCpbzk+uM2dyoWxdJKtFWO0rm4jYWhKd8dXfMIrh6luz7BNUHBPc27Fgtivey5p5mFlUM0BUZZFOzhH3uu4Nq2g7zz/WncXHVGNUOWV+JTW1/l9IZqFse61VlRY01w9cfepD6QEgpgv0ieFR6g8VPbVVEuAmpd1lScZeuNRxT/SN7v19W9D3X4+2lCKSe31hxRKG1cFyN8S3O4qOKYQr+jRkHxNeeG+0g5EU4W6qixJpjMT5Gv/xyPD3whVGNNkPMSiqgVM/LUmSm67CSpUoSkmTnnUC8pu++8XcaAnaA1OKy6nO5ikoXhbrEJ+CMEWaQkmYrakDexNM+SBYCFKEjkYQ4+D0Of+reBe55ba62VIuR71bQFhui3y4nqBcr0HBNumJAmirrhUhkZQrj+aEUWdPJ1+u1yhXRZvtLN0krkLYuxUoTOQpKEmaPGmiBVinCqUKdQj4hPRLQ0oYIZtmPE/GKu4DvqDtsxJp0gK2LtJIycUtkcTItOTM6cbc1g0C7jmc4FXNZ0jPqAKB5cT+f10Vkc7G3gtrl7qA+ME9JKDNtxfn1wDYFgiY/O2a08LI5ONvP648uZcfkZbqjdy6JIF2cLNfzqzY0YaZ07rnxVbb77J5o49dO5jFwiOBuy6Hz0/RU0P2HA12BN4iw24gA48+BsShGNtjtHfHVDlucHFlDzLyGevGcx9y99UXT/eomOd5uo3ePSNychNm03SFc+Se0uGPBqCbbYynE2PRmivAuKrrDMFxJSE08HT8e3MhDEyLayEfbMrmdpbNwvKorCIXZFirHJgAqznXSDLIz3sufOFrZMO460xTfwuGT9fvqWJZgWGfGLAoNpwSHm33uIsGGr+6rgWnxj2TZOzKsjpE8VtVVmmltvfUUdoCkniqWVuLL6IPk7jk3d1/744q55bxHUbRqtMfZlW2kMjLEw3MVjF/yYuG5zzK7iVL6WE5kamiLjrKlon/KVQYwxrqo+qEZ9cg2guSyNdariV64paa4oiKEG1WZakVXFevJN7jxTqc2UZw34B4Agi9dYE8IpWctRwPLtGLKiIUFTPBS5T4w4McF5QaACcSNHr2/gZ2kOtitJ3uL15fqW618S4EO6TUArMeTEVTMgf7fgF222Z9Bgpui1K8RYwxXfWVNgVHk69RXLhalqaFC9TtYN8NbITBYmepkX7hUZgW6Ig+lGTqequKX5PTES0aHPruDhIyuY2zDAlqrjgrdlZPn3M1sYOlzNhy7axfTwEHVmitcn5vDcaytwIi6f2ySKirxrsWusjYGfTcO7ZZh7Z75CR6EKSy+potrSHJJGhrwX4J2xaaT/vol/v6mNj69+W1lSbHtnCTMfLvDG92dyWfURdRgnn45QjGvYMw0GfNPOsUKEptdsjrfUclWtcGZ30PDyBpEBj3E7TJOfRh8zCthRcMoc9b0mjBILqvrZvb6KeclODDzeyM1kZaKDzpsrSOVCzAoPAAJ9W5c8w+PfLuOCitNk3SBHCo1YmsN9G7fz+oJZXFLeIb4/Xdxbt9z4GgDTgkMczTWQNCe5pvJ9Znx2SCEwQpEc4cP1e8jfsV8hxHL/vmf2DjIzQorcLziKDp+ctZOQZtNrlzNUirO6/CxxPc+0xiHSTlipI4O6Ta2VIlkm+JujpZjfhGnKjkIiWFPGkFPnkTTAlPxBycMr+PxHOSmQz5EqRZRBLQCeGMXLMSU6VBoZOopVqmiyEU2LtKNJOWFMMv/rh///xOMDXwiNOVHivvoABGejw60SHYHuned/IJnurqepDU2ORMrNLH1aueoCZTWvayLlWIbEuZquRkCqmypFyLoBav3k5bFSVPnC1AfGFRJSZYnu9Fi2nhmhIRqsMeJ6jrQbJqoXeGRoNcvLOn1pcoisG2DHwEzGsmG2thyjwsoqFKnGmqCvWC7cl/Uio06UrnySZ95dzuWr97M6fgYQTqqPnlqG936ClVceoiYxQWtwmMPZRh596QIAPnfFdl/1luPF4Xn0PTgN5/pR/nLOCxy360kYWf747ioaXtHIfdVic/lx0k6YPjvOkR8tJFuj8clPbBOmg3qRh3tWUvmPER65ZwX3LX+JmL/o9789i+aXbbq/V0GtlfIL0yBVL4SYbNCIzRddcsqNcmCkgcojJQY3xnA8nVEnJgwNPTBzmtpkLM2hKphhf4NGsmJSGXk1WWNMbx6ic30jG8KjyoW4wpwkszVDWTRPrZUibuRJOyEWlPfx+v1Rrm46pTarhJHlokveZ2SjiAeQqOGyWAf8BYrHAb6R3dIXOTannhorzagTI6TZzA33cteHt6nXz3sWKTvCmsRZNtx+CtfTBFqha8wM9fOVeS+r8Yc8NJNmhvuXvkjAd2KWB3dDMMXW8sMcyDUjU8NjRp6N5SeYdIOqaLA14QNS64fxOmiUG1l67XI1MpkKYCwoPpalCXVS3h8rSbT0TKFGHX5ddqXvSSN4Wa6nYWouJc9QogWp4JReWuda9UvF1dnCVLJ5whcWnM7XMC04RLM1yrgTobdYgaWXSJoZDueaiOhFKkwbx7d9kGRuA4+QZhPVRUfaVyynKTCq1GJ5zyRVEsWgRCylMvR0voZFkS5FQnc8k9eG57GsvIvGwJiS7b86MpuxQoSPNO6h1hpnqFRGX7Gcx44uZWVrJxeUn8ZGIMmP9q3kxHst3HLJWzQFRgHBr/ntts049QW+suJlhkpxHDSe71vA5EP1VH6sk2vqDigF0zN/WI+Rh023vsfK+Fksz+EXHesJ/XMFT3y+ivq544IfU4rx3lMLqTpYovt7FcwIDRLCZtfENFp+YXD8kjauvlYQrkecGP29FUx/3ub0qmpmhQdIuyHhpdWlU4rq2K5J3EzholN0DJwQFIqW4tDFtbw68IZLMXXfrCjv5MGPNLFsZjtVZkb5rF28+hBv1k3nY8kzas+uMCdpuvsUIaOkCLm2Z3BF7WGO/90wl4WHSZUiTA8OMuGG+ejanSQ3TKriwXaDtAaH+fhtLyp+l1Dpeqwq62DRh3vUWF7u6be27FacL6kqtLQSn257SyWkx/U8vW4FeSw2J08qewKJgojvxvNz9ASyHtJs4UqNpqxdLM1RNAGJ5CsVlivPkeB5YgWxPoT6ShZOorgTVi1SWSyfUyq64oZwnZeTjJCv3pIIohwXSmR60C6jwpzE8aY86STCL00oAaVqC5oCrUs5YVKlCLV+g5HwPcVO52sYM6OqUKoyJ+gsVvFOejrLyrrU/iNRvz/X4wNPlu7zCcppVxhPjdhRtvXPV7Nu+X+7xqfxy9Nrz1OXjJWi/PTEBn5xYh39pQQV5iQh37vjX9+4jN+fXqkqY0tzOJhu5GcPX86T3UuU+sbA44/tS3n2ZxvZm25R0LGlOfz+mc388CfXkXLCvhdOkT0Tbez+xxX861tbOZ6vZ1d2BodyTfzd3isZuquBHx/eqNLXJ0ohxl6up+Z/hBkoiBu21kqh+0F4EaMwtWhck4NjDcx4tMjzBxf6n9EnkY+HqTpQYqIYptqc8G0DCphZjUDqfEv2mFkgV6NRGc2KrlgXC3v6rH6GVugkLGE4J5Ouhy/NY20aOU+Bsbn+FO1fdLlm3kHFJ9I1ly0XvY/2l4OsiLcDgghaH0ix9Avvc8WHdyrDwpBW4qbmvSz89gE+2rpbEUSTxiQ3rt/FLTe8phZaULdZGTvL3bc/y02t+5Q8uqNYxQ0N+/jWhx5TWUUS4fqrJc9xS+t7ACpraG64j2/Me56W4KjK2sm6QVbHz7K16ojvK5LBQWPUibI6fpqEkfXHfgW1yc4KDyiVhkgmFwhFuR9AKLkTkmgsu0DbMwU53ifUlukC7RIIgxh1SLddaQpZZaXptSuoMgWZXyBWAZWpB74NgJ6n2pxQCivbM5j0nYOlyd30wJBPKg0pnyr5vUUM4brtIMzoQBhRiriPnJIClxtCjWPqDo6nkXPENak2J6i1xhl1opzJVdNXTPjxMgKF6S5W8u5oG6MlUXxIl+KObJIH28XalJlrAN/e+yHeGZ6mTAIBnu5fzE9fupjOQlKNjEZLMf7juSt4cNcFSnGT9yye7V3Etv/YwBN9S1Wn22eX88uHL+Oln69TSreQZvN0z2Im/7aRx88sUYVsxglx/PlZOD+s5XS+RlkH9OXLaPmFwZ53ZqtiM+2EOXakmaaXHU5kash7QtrsolF+DMyeoE+2F/zEfEkcPAFDoHFxPSfUkc0lJptcGoJTOXLzKwY4e4PJBU1nVBGYcsLMuvw0459Oq5RygNXlZ7G+McBlF+9V5H/X07lz1ZvU/u0ZLq4SCGDRD9286OO7+MRt22kKCBf90VKMrTVHue6Lr/KZ2W9R7vuJ2Z5AgKVyUazrAFVWmvvXbufy6sPqngNYHOvmCwteE5mMnqXytC6qPM4lySPA1KgvqNusiHco+44JN0yZnvMtCrLqsAeUCSwIR3kpAQfOK4KEulXYAUhxghwhynvf9gyGS3HOFKtJmFkSplAgnxtaDCiuVNYN0BoYZqwU5d3JGVSYk9RYE4qULt+jJOZbmqNsSBw05ecm/xtA1gmq9SgDtKW3mQzelu9j0C7jTK5K0QTkvXRiso4dY7OR5p5xXRT9v+tYxWvDczAQ31lUL9BTqOBf39rK++lmX3wkitQnu5fwoyev4GC2SRW8rqfzk+2X8tjjGxmwy5TY5ki2gVd/uJZfPX+RQnWzbpCXB+Yw8vVWfrxrs8phPJfy8ed4fOARoW1vLiN+5ftUWWkMXJ48vpi2n+o8d3+Qj097V6VY79s+j4Y3Cxz/Xi31yXHwXGzXwHq2nHDOI/uXwmE1buQ4kGmi5VkYWFWOPstV47GBXJzq/SX6FsTJN4tKP2bkyUyGqEh5ytQxoJVwNQ273AVfvQFiQSStSfrXa9Q1jypH17iR40NzDvDEp1dz3YxdzAz1Y+AxJ9jH6HVR9q9r4LrEWf85xMhGEuVSTpi8a9EQGOPWpt288vdzuaSsSwXrRfQin1vzKoPLynwjOk9V5J+5cRtSii2zny6oOMXKj3WobkvyBT7SuIds/QF13eUY48vLX1EjI7lRzAv3UrtwQm1WsgCYF+1jdfysrwiZgl1Xx88KFMxHC+R7mhYeUqMGEJ3bjNAgcSPP2UK12IgdqRApqE1JOE47Sjkjuxo81LhJfmYDj5D/WbuLlYpHJXlXUp2m+147tiuuv+uTzPPndJmyK6swJ7FdE1crkXFFcK9UccnDI+LzzCRBW9c8cFHXUErfy40sk26QvmK54JqYIjldpkhLCfGoI9yeDTzeSs+i4JosiXYx7JNHRcJ1Tt0TcvM9nGlg70ATt0x/z28EhOPwjw9tYGbtMNfW7kcEAFeya6yNozumc+nle5kX7SWuC/O077x1HYFYkf+x4iEKrkXJNdg50Ej0kQTv3jHIF6a9KgJVtRLbt60k1gmX3fMWjcExkmaGJ/qXYn+/jofvruRz83eo+/PAtrnU7LE5/r061sTPMGAnOJapp+FXQc5uaiZ77UGlRDreUce050uMro2QCoZ999oQZWcgW2/65oXi3tI0D81BcZciFEg7IXJtRQrJKUmz7RmsqW7njx+u4oqmM2qUYGkOzZd2MLA2rmTYUb1AU2ic0/ePcXllD/ODPRwpNFJwLT618XVOr6hmbrTfRwdCtARGWPW5fTQEx9VBHdRtPtq6m9RXwkqEMOrEMPD42uZnlbw87Yh4lKXxTpZe1KnsIoZKIh7hwqrjXFlTVMWRrnkk9Qxbao6rA1UUG8LzZ125QI8lqhjUbdpCwySNDJ1FccBK5EzyF+UYMmIUqDIz5/EvQ37Wmyy2YAr1kPe+LNCE35o40Is+cgG+wvOcsYr0qenwG03JQ5F+NYN2mbJAEZ8loPKxzkPkPVP5K8l1ey4vsbNQSdzIU2+Nk/I93wB6ChVUWRkWhrs4nm+gs1BJUC9xOlvF3OgA406EGkuMop4aWELIsNlaJThnw6U4fcUEfzq1hE2tp1gR78BxxV710uBcTp2s58NrdjE71C8Ky1IZv3tpI055iTtXvUnIEHvFuxPTOfjAQjKXZbh7wRs+ulTiv7+/habHTEbuj7I5eVLsRaUI7zy2hHiHy5Jvdwu+ohsVTcgPKzg9rwbnzoPomsukG2Tn4DRm/yzPK3fPZf26Uwqt6+lJMu2VIu0XVNISHFXjar2oYRSnzgKAMjNPtl6jVCHQozJdNM3zygd46YoGWpv7GHci1FtjTBbc/wen/f/zxwe+EIrPGKfWmlB29Junn+KV2+ZxVW0HtmeIqt7IsmjrcU6uqOaqRIdahG2hYabfcYKSqyu+jCCr9VD6ls6lkaHzFAjX1h3g+F8PcmVodCpuwbX43OLXyS4QxMKQJvxxXE/nSxduVzJECWvOCg/wyYtfUyROgN5iBXMi/XzzsiewtBJHc40qRHNTxQmWl3WeU2yYqlrPugG1+NNOmJQTZkvy2HmjDbnZy26t164QDta+v0/WFY6po6UY6BDRiupaSggXzp8zn7uJSA8KCccaeAq5iOjG/6Xbke9NBo+6mo6rTRlanjs6kRJYKWeV5FMJC0vo1vU0Mq4oQqrNNL3FChWbIQsBuUnH9Tx9drlP/J4KlQxpNik3QsoOMy8kbAYG7TIcTyfjBGkMjvnjpRQDdoKXRucTNQvMi/aR94SV/ICd4PHupayrOcvccJ8q9rYNLeTYQA0fn7uL6cFBeu0KOguVPLRvNQ0No9zS/B544no+07eEjjdbWHfZQdaUnaHomWScEI9s2wA6fP6q52m2RnDRebD3AnoenI520zC3tL7nXwudp59eR/kJl4q/zFJlZgQvwF8vkj8h+EpF3nhlEc0vF+n6xyTzor2iWy3FqHsoxJkVrXDTfvF9GQUOdTfQ8obNqQuqWBjtJqA52JpDoN/CNSz6lyT8EbSGqbuUwhohQxSe8sCxm4pMWAESZs4fgZgsr+jioY80cGFzu/res26Qti3t9KxIMCfST94/aBfFuzn9lSqurOxW91DetfjE8p10zkuyKC4IowYeSXOSu7/0JBknRHdRuDED3NS4l+xXD1FrpuizK1gYFvyzb1zwHCJvStzPc4LChfvDq3czIzQIgO2K8ePN9e+p2IC0GyLthGkJjnDv9A567Qr2ZKf7B+oYKSfKyrJ29XllEb0g2uMXw5paz9VmmrRv0aDy/jSRRuZ4qKJWogshzSZDiAE7obzKUqUIIctW18dBw9BdVeRIv7SQMTWeyPsognycWzxLn5qYH6RpaQ79pQTLIh0cyjWJfdhHbaSvT8LIkvVT2eX+KXlWshiXhZLlj3yzbkBFjlj+uu8plFMTEMaSUlKfKoXpzCVZFO9R4+oqM8PbqRkMZMu4rPaISpnvLFTy8JEVrG1rJ1JWIK7n0TWPfz9yEfmOOLduecsfGQvZ+R+f3EixyuFLF25Xn/eFgflMPtDI5C0pPjNbEN0jeoF/eeZa6t92iH2rqOwWjuXqGftRK9kancI9J7E0Me7bPTqXln/ReOHOhazY0CHuJc/gVHstMx+y2TWjldlNolAesyPET+sUkgEq1k2q69uXLcMseP7+WVSoc33NOOMz61gaTgnVqxOlNTiMuyZFX5sgcYc04dY9IzTEy5+epK4sTUArCd6cnufyhiO88L15fLT2/fOQtrtWvUHHoiRzIgNTo0jP4M6rX1JGv8KUVlgKfPqWbarBHXci5D2LpbFOll7fqcaEooH8387S/6WPT0zfSUAXXilZJ8jysg7WbDyjDmwd0WXfVLOHs4maKZ8XR3AWtiSPAfiw91Qo3+by474hXESx7uN6ntbwMNVmWqWRy4T0pCnIX8OluK9QKhH0OziZOSWJmxXm5HlEZDHiEhtV3puydgfUBiQg9RwRT6e7mKQpMKrGCFI5Jsd9FT4kHjJsXIS/zZSSJKtSgSUMO1SKKzfduJ6ju1ipQvpkXhmATFSut8YVj0XCtJZmqGJNdlLyNSQXBOBkrpYyM69ccwdtIVPuyidpDQ8rFKS3WME7Y9Noi46wMnaWUd8XqbdQzkOnV/ChaQdJBEfAFdf89ydWEgsXuG/mS4zYUZJmhp5CBU+8sJZZazq4ru59CljkPYvfHluF8X6cS2/cRVtomKBu01cs54+/uZBsg8uXL3ueanMC19T4zxObSPwyjnvPsDB48yxmhvr57aMXEx70WPzlbmRg45PdSwh/P8GTn19E46IxpWo79vp06naWOPJX9TQExqgyJ3g/3UTL4zp9F9RiNxkK1j87WEn97hJDm2M4ZTo6QuYfSGm4lvgOpKVAbXiCs+UayYDwS8k7QSy9hDMry3AsRNDfhPPOVICu7ZnUWinhQqsXWbrpBKcWisLGwbdXMArU3H+GpWFBdLc04bP00YW7OPvdStYnTvvEYkFWvuOaVwBIu2EGi3FmRoeYF+uHexFJ4T4R39Icvrr6BVKlCK2BYXptkYBdE5jg3gteFCo2H37PeybX1b1PqF60nfKejOt5bm4SY82ov+lnXZF1tzTehZRZ4xfR8v23BEfUGFOOC+XY8nheEF0DWglbM3zJs8mRQiMJI0vSzNBdTKpmwvU0EWar2+o6Wr79xrgTFXE6ujjgparN9te64zcUsjAtN7JMuGHSJaGUazTH2DkxU6G+IiPPYcBOqNBhGTCecUL+6zjnrTdhqBdRPjMwlcc3Voqe9/O8Z3I2V83a+CkGSgm1rx6dbGCiFGR94rTa/1JOmOf6FjKvfIDZfi5iwszy2vAcjvTWcdPcfYLMrYvR0s/f3kSycZwPt+1TyMObIzPo3NbG9CvPsMUfx+U9i1+8eBHhfp0bbn+dxsCYEkG0//c59G/y+MLmF6kyJ0gaGb7z6g3MeLTE+HfCbKk6zsrIGbalFnPsJwvQXMjff1L4ntlxDqQaafqdxVvXzWL5uk6xD7oG+Y44dTs9RjdGaQoId3fH0wkPgafrypg1ohepDmUYKdeIBIuqcHXQCc1K0ecmuNxXfKWcCAkzx8hNkwQDokmTEUYXVZ/goa+tYGvjSVGAeGGqzDRXLT7Iyb+u5taGver8mBPpp+1z2zg6Wa/EPeXGJFtrjtJ3X69CIaWR5HdmPs1vE+tYGBWFoSxob531HlXzpgx+ZWj0F+e+hutpvuGurhrO25p3KdRRTg4SZpZ1ZWOkzzkzbM+gwpxUZ5b0PpNoo+FPEQr+REF+Bnk+pJ0Qjpv/nzzp/9ceH/hCCFDZWCJNWgQYym5fErnk4SEdTc/9AgHf5M9T0F/e95CJ+9W0hHhDWomzBWF+Jv04AOW9IBOLYUqiKpEUNJcyPacY9fLvpExejqfEz/VzCovweZ834ee6pEoR5oT6qDTgeL6ehJll99h0KoOTbEqcOK8AemV4DisqOokZeYVGvZuazslUtUqWL7gWfW4Fvzm+mtpEmhsb94lZrw/L7nh7AUtWnubamlE13/7lsXWwv4xLPrSbJdEu9R4fffhCcg0O91z0koL+H+lagfbTakKf7+Wi6hO4aFSYk/z7U1dTs8fF/MZ7LIoI1V5voZzUP7fw0rLpLLlNPG/MyPPsgUXM/GWJvd9rpr52XHUfwVfK0NIex++vZ0m0k5QT5eB4Ay0vFjnWUIdbqylUqDAWov60S9E1/e/WH7/5jDoHjQlXLPxpFaOcnlPBovgYCWNSzd/L1g8ymhJz/p5CBQkzx+LKXrZ/JsFlM06o58k4IdZtPcTpNVUsL+tk0g0S1QssiPWR/7rFlnif+p4jeoFPLHiHwe/Gfb8SHRehPPrwLa8pZEt2wSviHcy5c0AVtCKLLsT3VjwpfGxKEVXAn+uMLdADYRa3JXmMzUl/M9QKdBaraAqMsrXqiBqtSFStyszQWC424biRJ++ZpH101dJLRPUCldYkC8NdZN2gUjCOOjF1T1uaCNkUkmdhDImf6yUJmIYvUEi7IUJGUeRi+etFIoZJM3PeOpLX2wJFmM66AerMFOM+Id3AQ9c88q7I3Ms4Id82QLiMyzxBtKnRr6U5GJ54jaBug4taU9IBudLIcKZQQ5WVZqwkXLplTt9oKUbCyLJ/spnmkG+AqjnkPZP+fIL3Sy3Mjvb7YZ4Gr2fm8t5wE9G6ArND/eQ9gVK/P9HE4YE6cbj53KieQjnPvLucufO7uKr2oCC3OyEePLUGe28Fl167mzmRfrKu8On648Obyde6fPHSbSSNSQzN5ScnNxJ7MMGBzzZwTeNBqsw0fXY5rz6+gninS9P948wIDZIwcmwbWoDx95W8cHU9i694mjPFagw8DhxsY+ZDBU78Y40gZ2s27XYVdTt0RhZVok+TJqMBhiZjJI+VGLkoomxLHDQ8A1wTNb4FqAml2TtfJ9owjswa1DWXdYtP8m5+Djcl+rA0hzPFGmJGgdCt/eRsSxFxE2aWCytP8OxXAnyooleNvYO6zUcuepu+9Qlmhn2kzx+x3viZV5Tbv+0ZBLG5oOIUCz/XS9wQaJJssm+fuZvaeSLKSHJ+YkaeLy58TT2nPDfiRp6757whEEQnLEbshsO8aC8zIwMqXFU2HRknxMzIoEJw24vV6JpLfSClfK50zWXEidFrV7CqrOO8AmbSDaL7BdGUKkzHBSIUyLgRtXfKBl2ud3leyaZECgkKrkXcFE78kosZ9CcXsomRHnDSvkFeh85CJfWBcWSYa07/8yJCH3iydM4NKlM7KSsVG5x+Tjc0xTORrP+EmSXuH9B9xXL6/PBEEDfOyVwtQ8W4Sk4W0L7JaClKvTWuulbX0+grlvOLs+tpz1epStn1NHaOT+ff3r+YnmIFCUMQqM8Uanjg4AX89MBGxd53PKGQ+dmftvKjI5uQkRJZN8jTfYt46D+28nTPYmBqg/7vr13Gs/+2mUO5JuJGjqQ5SXu+iq6fzmLnw8t8ErCQAj/dt4jCt2v59TvrAX8sVYrw+huLCH8nzltjM9UiHizGqXw4wsiLDf7vFsl7FifGq5nxWJ79nU2knbA4kJ0ghe4YVQdL5JyA4vYM2GWYOeFPY7smAd8QrSaSJlMnDqEqK618iYwZGQZW69T4fiUhzaY1PEzXTQ5l6wZx/IDIciPLlgXHGP6LPOsrBeqXcUJUmJMsuP0I0+4+7nueCIXGRdUnaPn+CT677A3/OYQa4q51O1j3l7tYHO1CZrvNDvVx00df4+6tLxLXhfw06wTZVHmST358Gxcnj6rftbQSd017k39b9QgAQV9CHDUKfHLJTrW5Zh1RsKwpO8MdLTvV/TVgC2L+luQxRRoVhaU48GVAcN6PECl6pvJzkRu07AhlESTv89bgsJKmNwVG1PPKgkWqICW/TCpKRp0oKUegiaOlGCGtqMZZCZ98LccH8rVkUZM0M2okWmWl6ShW0++jCymJkHgSFZraAM9978N2XBU4Ej438OizK5j0FWfyb/qKCRFQa+TJOkHVdctRgbwPAfZlW9mXaVGcFWnC+dvONXQWkn6RKFDgt8em86MTm3ypuqckwVnfxVjGEQD85vRqHnzsUjoLlYz7RO6+Yjm/+d2l/OKNzcplO6IX+MmZjbz/d8t4tneROlxCWokXHlrL3p8vZsyOqjH5a4OziH8vxqN7VyqEFuDAK7Op/UmY/kICGbswWIjTvM3j6IlGxVNy0Ej3xqk84jBajCr1k665+C4e53mEJaNZUtMNkuEsMSOvHNbd5WkGNrpUWJOK27Mo0Uv7pz2Wrj6lVEdJM8PFqw4x/s1J1lSc9W1HgswN97HiK/v40GXvACjftbtmvMma7+zm2saDvu9ShlnBAe6+5EWu/vDb6p4DmBvu4/M3PctnZr+l7DpcT+fG6ve477JnlShhyEc77mjZySem71QokzwPrqvfz6zwgBIfpEoRWoIjLIr1KCNdeTZUmWmfIB4/L2hXKH41NaaX967jX0vxGT1V+GScEG2BYQbsqQy8KYGEqcJ/5XWRr5N2QsoVXxQXYl3J9SMK8Khq3KXyLe3vBbKwz7oBXJ8ALvYoW60fOU6W3ErbMwhoJUVql68jPekOZpvO2wciRoGufJKn+herJlIi/k/1L+apgSV+MyK+y75iOQ8dXMnT/Yt9o15DOV3/uR4feETo54fWc+fqfTRYY6ScMCeydbz21HLcRWn+YtGL1Fvj9NnlvDE0k5GHmjFvGOITbTvRNY8BO8GP376Q+lcMmr54ki1JAdWOulG2/XEtZR0u0785REQv0JmvYW64j7QWUoQ8yUd5dWA2ye8EeehTa7n/wud9tZDFzoOzmPufaV76wRymtQ0R13MMemXE34xgZT1YNFVojBaj1Ox16Q/EyM8XXBZDc8kUgkQHXQWpF1yxAXkhh8l6sXh67CS11jh5z2RkMTjlPoKliRt/UUUvT99ey7zZ3f64S5AP1284zNsNM1gbE94kBi7NoVHO3nuGWYG8P7MXRMjNtac49g+13Fd1DNcTeWNJM8OXL32e4xfUMT08JIzwzBSLI11Yn3hDcJNMQfYtuBZbq46Q/twZn9QrNpO0G+YLC17Dnm8oou5wKU6FOcm31jyLpZV4YXQhu16bx+z17Vxbu5+5sT6qzTQhzeaQL6PeVHFCuQTbnvCcmXSDtIRHlWRUJm6jl1Qwquz6uouVaiQpn0Oq8uTcXf67v1ROuTHJkXyj2qAGi3FiZkEpBuVGJBGciF6gyhQcFYnUSAg7aWbUNZJjTV1zWRLq5LX0PPKupcwc025IFfhCteL7sBiTOK7YcCVPxLIclbElf3/ATvhS+CK6JzYq2Q1K9DSo25wt1IjN3kClpOc9i658kgorq7o9EOPOvnyC6dFhJQ93PZ1fdKxnWWUPi2Ndqtt9YXg++7ua+PSitzB0j5TPyfnVmxtpmDHElQ2HfZ+SAj86tYn8ziquvvnt86Iynnp4A4Wkx+evfp76wLji/Nmuia05/kEgDu/nfr+e8KBHw32vq4PzhYF5RL4b58lPLWPG+iF1+B7cMYumV4r0fL9c2V7IQ67CL4TkOHC8r4zGgw6Dl8dZHT1DR7EKFw2tBFpBI+2EVM5eU3ycUzOqmRmaVEGuWTdAdkmOSVejysoov6R1VWd5+LMr+fjSnaqosDSHlZcc5fSqSmZGBtR1X1bWReCbJTaGxwCUw/4XN71E++pKlkS7pmTUms2tt7/s+/4U1HPf3PAe9qf2kzQznMrXqnvprnlvTR32aDieQb01zjeWPy/uYSeCjVDmLY51szTeqfhSIFCzedFeMb70x6ggCt620LA6bAfsBJN+0VsfGFfIoOvpGLqneE6SfyQLn4JrKc5gwswqP5xz8yUH7TLmhXoZcWKKPmB7ht8E5/1MwAkO55qotSZIGDnhcO+GlNBDvE5WNaAysNvx17bk20kkX0Z6SDn+uD2ldkw7IQqeSY1vY1FwLeFYb0dJmDkxxdCCSjWs+KlGQX0HLw3OZXp8mMWxbsVh6ilU8Pyp+Vw76yAtwVHVsLzUP5eOUzXcsGYPcyL9uJpoiH6240I80+OLG15Skvq9mVZ2/GoVEysKfG/dE7iG2Et+fuYCIj8p543PjPPZmW8qIcH27Sup3udy5Ov9PuoYZMAuI/3LRlKGRuarZ5WpZXu2krZf6rRvbiV006HzRCh/rscHvhCq3B4iuzKgeAg5x6LqYImeyijOIl0tmJKnExpzGcsJdZPrit8PV+bIVZcRNwt+fpP/PPPyFBNBhu0YjUGhogAw/O4TzVVRDFvrjvKzL17A1nkHVUVdbmS5YdUeXm2YxSeb38PxdHrtChoDY1zy6Z2MFqNqhGZ7BqvKzlL27RzNoVHVORQ9k1vb9jD611Fq/QA7+bhr1RtE1hYoN7I+XylM0pjk29c8Rq+f2SMJ2m2hEb5z4RMUZSaWJyTYC2J9rFl2ljozRX8poXg/N9buxfYMuotJuotCjjw33MvccK9wnUbzTfhEd7E41iWUJE6QUT9TalpwiJQTmXLVPmdMKNRdQWXAJZ1JywNZ8r7kWm6qslhQKh+tSJ9TzqRexNF0Qr4yRBL25LUTJpklWgIjSmGiay61ZoajuYZzOi5XweKS7+T6Shbp1yGTng2faJophRi242q0J4sX+Ug5IoVbIi+2ZtDnS3oLvsJv0g3SWagkcY5Rn+RiHMvUMzs6wPFCA22hYWzPYFd6GiOF6Hl+Jt3FJC/0zGV2xRAXVRzzlVJhXh2Zzf7OJj6+6F1qrRQxI8+AXcbPXr2IWGuKT83aKXguns4jnSuYfKmWFTcfZF3itE9GjfLowxdSinp85YanADESfqRrBcZ/VJH57DifmrETGXC87Y9rSZxxafv6iG/NX+Ld1DQi30/w3E01LN7aRdRHaN5/ZxbTnslz8B8auaLyIIuCPdxz7DZannPpvLIaq6mkmoOxsRj1J4Usvb5McI1Cui0MKg3hFVSQqjzPUryazmIlVWaGpDFJYUWGTHbKZNHSHDZUn+a3n1/NhTOPqWsZ1/NcunUv7y5pZUm8S601+XeDdpniAkX0Aneu30G/T+QWo7wJhu0YH7r9DZLmJDOD/argubZmPyduH6A+kFK8KAfND2ydyqYDqA+k+MtV21UxK32E1iTOsqH8pPpdichtqTjGaClGwS+WJ90gthugLTSi7mdZHEgeoIwwEeO4Kf5YSLcZtuOiqEZDZyr7T+5raZ83Y3sGFqKI13E5lmugJjChFIm2Z4CPckg0IuhbmRRci4znFxuuyAobtuPUWimUIeY5+4QcCUv+o31OyGjSzweL63mVE1ZlZoSE38ww4YaVjD5u5n0UVBoJBjica1JIa9YNcDxbS86xWBTvUbzL0VKMP3UuYXFVL6vKzgrEyQnxXrqVXafbuHHhPlqCowr5+cn+TTiTJl9c/zLTw0PE9Tz7J5t5+bFVlJZm+PSCt9T49qEzKwk8UkH0k71cU39A8XgkoVwmD0T0Au+l23B+UMuOtc2su+003cUkLYFhfnF0PdP+0eHJry3i3sWvivvD0+ndW8+0l4rsndXMomg3Y24UF42y4wZGwSO4SXg2FXxEOjDh4dlTuYZxI0d1NENvWxW1kSyup9EWGOZkoZbA/BQ9yRhXBsS5ZCNQM+P2QbL5qfGYpTksivcw9K0YqyMTPsd0jDHtzzus+sAXQnM+e4QqSzjOGnisLGsn+VeTbNBLSo3hoLG19ij8zVGVoyPJj1+a/yr5eZaSKUuo8qsrX0SqruRorM8uV2oNicyENJF2fc+K1xX/SNiUh2kLjfCZmQM+d0iM8FxPY0ZokJagSUgr0lmsUgXRnEi/IOJpuiJdR/QCkUBBQbWy22gIjDFUilP0TPW71abIlRrS44yWojx+agm54Qhf3PCScs0VhmUeNoYiV0tuAaDg2awbVGO+Yd9sL2lmlAGh7AyE3f6UTFbCtbIjl88Z93PR8DegCh99kX4eQV0EFOp+pID0a4kZedYkzrLouh5aA8Nq5OJ6OnmfcioLslQpTGNwTHXXec/k5GQNFVaWFh/uBlHM7plooy08QtKcFFwXN8SbozNxPY1NlScVkiKv45bWk0wPDykC9FO9i+nsS/LpZW/RFBgBQ/hoPPPKKqoXDnJz8z713n52/AKslxKs/sQ+1pUJonHaCfH8b9dTTHh8+aan1Gz9ie4lWP9eybt3tfLpOW+pg/7NPy2j4oRD97eHmRESYZbt2UrK/lucnddWsuTSLkUOfv/96cz4Q5H932/kxtoBwWEoRqnbCf1aGe5MnbgplIKDw2XUdzjK8yeui3GQExKcjeFSnHpLeNe0lY2yb3EdM8omFH+mykrDyhR9M4RqSh4ys6KD7PliM2sb2wGRP2dpJS7adIAji2pZmWhnqBTn9dIcbm7ey9Hv1LPiHF8sgM8ue4PUorCKhch7gnD8iY9u97kQujogYcoITsZEOOh8bckL6trKAjWolfirlc8C+J5a4hBdGT/Lwmi3f9AGFRohXbhTTgTLcxgoCY7VvGgvrqdzplADQGNwTBVQHcVqQCC+aSfMgkgPA3ZCOfsqC4NzJOYAIR+tiRl5Qv56B0gak3QXk1PjUTeA4RdpeVd4EzmezrAdV4iaEkT4aiu5d0mRh+BLmdiuyaRUX/moWUQvKmd+HUEetj2TMTuKYXmKwzVgJ0gYWSqsSV8tllN7bqok4hUkd1PXXGzX5EimnlnRQSwt6HPNApycrOHN3Awuqhb8Oon+/eHsMkIBm9ta9qj9aG+6lVffXcjipWe51E8ztz2Tnx7YiNYe5sNXvqlQmNP5Grb/Yj2phTZf2/gcFaYYG/0fe7dQ91SA5i+fpL5coOm2a7Lr18uw0h4z7hsm5OfZHZuspfyfo+y4YhHrP3QKqZB69+h0Zv+0wO6/a2VG0yD4OYbR3WHCQy7pNSGS5pTDfFm7y0BDGGuh4/PVXIJWiVJAU7Ed0qtK7ouAUvpNCw/z0i3Q2NCvLFnyXoDrZ+7nsa8v5aJpJ/1rL2Kcrrn0XQ6tamBLzXH1PBX6JDfd9Qqns9XIJHkZTh27b4eyALA9YeFxbe1+Up85SYU5KbiqttjjPz/ndfKzLYWIy1HpLc3vIRXEU2igwZdaX2J/ttVfa2EmnfP96/7ffnzgC6GViXaKnvRKMcg7IeZHehXyIV1mU67orqYQlJDymZBkZUG0ngrry/oHuevpJHznZcDn8IhOSpLWkn5Se7YUxDA8dTNYCHXLoF2moimkq6iuucqXQ5LTInoR2xU3uTTxK/qkVMcTHBKZri4zsmR46GgpxqQuDMIMPPI9MSIDunIJlZujnAtLibx8b4AigcrOLeEbp+Vdi6O5BpW6LBURfcVyOnNJpkWGVUGXdYPsnWjB9TSurXpfKWvGSlEeb1/Citpu1pad9gsyjTdHZvH+mRY+tfwthQZknBA/370BPehw99Idqtt9YXA+Xc+10XB5J9fX70PHI+OE+PEbFxE/ZbLlo7sU9H50sp6D/7qEwVXw3av/oHg1vz2wmrYHdY7dP87NzftIGDk6C5V0/GIWngntd4/5ELPDzuFptPxA49m7FvPdTX9i1BHOzr176ml7zeb0nGoaAmI0MVyIkTwM/eVJ9BapyrEoFkxiEy4pO6yIh4bmUij3sCum8qZsz2Ba2Si719eypKbf/3sTx9UIrR+mf2GU+sC44C+5QebG+nnvc81saTmuCL8hzebStQc4Nb+adckzaiy2NN4JX4HrfS+bjkIVEaPA3ct2wDLBZ3I9jYInCuCPX/+ycpOVQb3ryk+z/LZOdM2l2kxztlBNDI375r/sm+NFFIJSHxhXpFGhstHAM1kQ62Ft2Wl1j8mIinl+qKMSFiA27sZgXvF+xGFsnCcoKPjkV7khS4TP8Q//c+9riUDKhHo5npVrbVILqi7W8UwVV3Cu4nPYjjMtOEh3sZLWwDBnitUKdRavY/pIoqb8vYqeSXcxqRDB0VJUCS3kuj+3AJT3qYxksT2TciPLe8WpbEB5v3QUqsj4mWDDJZFrNmzHOZhuZEZkWBiwai62Y/DG2CyypQAXJE+r1+ovJNjWPo/VjZ2sLGtX63f7wHxOnGzg7gteVaOftBPi0ZfXQ32Bzy7ZIfZJTefh7lVMPF5Pwy3tXF1zQPnYPP7YRjwdPnHTi4rj9djActzv1/D2x2fwlVUvAQgjwh3zhLDh71KsT5zGQae/WEb8l2WMTzexPyUQqJBu805PKzMfznGisZprakSxaAP62TDJwx72FVOmhznHwsx7aLau9jFLc6ivTjE6t45lAbFnGXiEjDyZ9VmcorCAkEqoptA4Oz/rsaT5pBrTxYw8Nyzby9vfncbNDQfUWWNpDpd87B0GCmU0BUaJ6gX2ZVtZGO3FuM9jWnhIIT0hStzWsofUV8KKAH/uGFDez/J8qLEm+Nra57H9xk0i0Y3BMb6w8HWFSEneZE0gzbX1wv6it1ihphlVZppIrKju77xngosa68vmWCoMZRMgC3YHXzWn2eSxFO9nKj7GVIVU2gkxVorQb5cT8oVIwm/tf8vn/0sfRXdq1ihdcM/dkGEqI8z1peeC7KypzszxdPUlyqo8buTUHF0S2QA1v5W5R7OCA5ws1NJZrKTeGqfKSisFgOF5imArzer6/BwdudlJCDGu5zmZq8XUXaYFhwjqUx2VXJCyW7M9g53j0zk5Vs31LfuJmyllvPb7rtWMZcN8fs7rfPqiV9U1+Lf3LqalbpTrGt8n5UQYtmMkzBwxQ4yl5CKyPYOfPX8JehE+du2rilz7/PBCen40k/6tNnev3AEI7siDe9cx/TfQ/s0ktzXu8gupMEcfnIc16XHma71+6OQkzw4spPrvArxy6yLWXj61Ge87NI3Zv86z6wdtXJA8TQQRKlr9hoUdCWAvNpUCbqIQInHGYWhSoACtwWG6i0k0W0dzBHFZZs2VmXnGZuto9QLdqbfGSbshZjUOcnprCzfUnZ5SOJhZ8temCJgl2kLDiq+0ofo0T//VQq5pOMZwqUzwK5wg11+xk9Mbq1he1kFvUUSGrCs/Tdnn80wLD6mDyvEMPrHgHVggvHgkCbjKTHPHh15R5GYJ9S8v62T59Z1qnOH6G/pfzH6RcSdCyolQQHjq1FgTfHb+G+K+dCUZ2qM5NMamxAlsz+BEro4KaxILR/E45Igp6wjZeYM1xoFsixiZeCa2I0aFo04U3ScYA0pVKcm28tr1+VEdkmsUM/K0WCO8mFpAXTCl0A+5ucuRpGg2pkz8pOeMXIdSQTPpBik3snQUqvwOW8Drw6UyUk6YlsAIDgINSZoZMn7hFvKddGW0h3xOSeCUsSEinFkYVUpjPgMPwx/pnMlVE9RLvpR+kpQTJeWEeWxoBfPjfVSZaV/0YLAn1QaIbDsQaM3JXC0vds1hRV03y+OdJMwsWSfIQ+0rGe4v467Vb/hjoSCn8zU89fxaAvNT3Dn7bXTNI10K8d2TV2G8WMHER49wSfIIBi7HcvXs+NkqJmZ43HXZy4AoDh85uZz6HwU5cX8NH2t7Vyl/jv9uLoG0B395GtfTKdNz7B1tpukHOq99ah7LN3aqPeD03mamvWjTtSLJnEi/XwyGqdyvMZEJwxLxHRWwSBcChMY9JgrSJFFETOQaxWEnEQ3X05lTNsgLlzYxo7n7nMasyKw1HRxvrOWi6CBS4dgYHOfA5waZHsxNuYU7Ue6a+xZPf28xt9ccJ27klGLrtqtfJ3NFkKbAmCL3Loz2UPZ5EYcBqHv+pua9ZG8OKrRKRnt8fslrinsnuZA1gQnuWbxD3ftyLNkcGuW2lhFVrODfW22hEWaFBwQp2bdDiRs5ZoYHCeo2g3aZb4kyhQ6eOwIMYiuit47gvslpgDwPCq6FrU25+cv1KdeqNJSUSJw8HyVSWmVOYHsmfXa54AtqLmlfDSbRPrkm5fkZM/LqvWddYVkjDSPl38g9IqkLYKDKSiu7jpDPlwzqNu6fWTX2gS+ERkpR6vxgUlmxHs40UG4JbowsYKSLs47nQ+xiFtuer2J791yubTlEU2BUHSiPD6zg9Gglt8/c7c/ExSHxy0PrMEyHv136FFmnipGSkCk/sm0DoTkpvjrvJb+DKvLM8GK6Hp1O8vpurqvfj41B1gnwizc2U35QZ9Ndu1kU6Sak2+zOTOOtH64iX6lx5yeeA/D9TAzl53BuQfbO+7OZ/ctJnv7eQj7d9pZYtG6AiT/VExvxGPurqHLb3pdppeEpi671ddgNU9ELEvWRB5QM9NQLIs9LzKbFta0MTnKqWscMOio7KusGmdPaT8emVi5KDKoFsyzSwW835tENT3UcLjrLK7p46uvlXNK0n+5iktbgMDhhrlm9j/emN3OFT8S2PZOkMcmiuw+KQNfACClHyJJvbdlNz7eFy+toSfCRaq0Ut2x6m8hFRWqsCT9/yKQtNMznPvKs38FMpSpfU3cA9+pDaoOQDs9fnfcS4+e4yUry8p0zRWhk2gkzWopRa6VYGTmDwTz1uxK1aAqOKe8X2cnJIlgQTDUF5UeMKej4XCK8LBKkerDcEHEnfcVyNY5yPf0clNGk2kzTXUz6m1POLxwNYoYwkRstxVQwaa2VwtBd0k7Ibw4qlcGdLBYM/z2gObQGhukoVpF3LXWgSKRpSaiT44UGDk02MTMyoPgjR/KNqgiqM1McLUXRPYF4dhYqaQqMkvJNMCUiMlyKKWRFjrx2jk9nTmwAw3IVf2L3eCvZ0iyurd3PzGA/r0zMJ2YUlHHeRRXHFOL5dM9ius5Wc+uad3xTzABjdpTHnrkAY16aLy94BdsV6+q3p1ZjbCtn2ScOsj5xiqwbpD1fyUu/Xkt6tqO8bAZKCf54aBnTfq7R8fUK7mh9Bwvx/R359TzMHCy6v0d5jL0z1EbD93Re/+JsNq8V/mS2bpDZVUXL3hJnF1X52YclCq5J9V6XvnAZ7iwRc5I0M+SyQapGXUqeTtoJ+3tCjmw9eHUFVUTansHCuj7ev3Q2C2MptU82BUYoXpzC1lBIwplCDR9q2M+vvrWWrfWnAFEEVZiTXHnRHrrXlKvxn4FLS3CEFV/aR9zMq98N6jbXtx7A/saUXBqE1cVd61/315enfnd6eIjPXfu8OmBTpQiWXuKq2oNiDOMbQMpD9pam3UoQIMi3Hm2BYTZVn/J5jJWAaMoiPnFeqoTlIT8tOETWl7gnzCzDdpy4kVcIieGvVflepX2CWNdTHlBKaadPjSldfxwpgk51RciWfy8Lbzl6LJzzXBG9SFzPcbpQS4UpstM6i5UEtZKyAAhpNpYpqAsuHhkfQZT5l5ZeUnwnWSRJonfWEdYr9YFxZfbroDNWitJZqGRBuBvdd2C3PYO3R6dTHcqwLnFa2TyMlaI8emYZ6xraWRHvUKj/jpFZ7DvexodX7mZacEh91h8d3ITbFeWzV7yg7smCa/Hwny7Ejnp86rJXhLLXO7+I+3/78YEvhJ775Qau/cJu4RqrubTnqzj0w0WMz4bbrn1dQclyjJR1hHS+KTBKn13OwwdXMudf8zzy7eX89aJnCek2HYUqjr45ndbncrz19zO4tOqocuJNvBrGmvQ4Oke4P+c9i5xjUf+OMD1LzxaeP7ZnMpqLkGi3GcpEVfdTH0jhhRwKFZIMF8EhT42VZmweOGUiOmHcifgxDQIGz/pmeSAKvotWHOa1xCxurd+vVA61VooldxxiKB9TiFNEL7Ayfpbc/RabgmL+e67sOmFkOVuoJhIQBU/cyPOp615SgZlpN0TWCbIs1smKezoYtMtUcWZ7higqbj6kHGULPm/nM0vfVAWTgedLjDN8Zd7LWFqJPruCok96nBPpZ3rzVICphGqXl3X4yExAOdoGsRVnRG78o06UmFGgKTDib3gxda2kWaIcRdiegS0l4L5Lt83UppV1BJdLzvDPHdXYnoGllxiwE2TdIC1BQQ7OOCGifs5X1g2QBLVJSRRKPpLGJJ3FSpFF5D+nSnjWRDGln2P3IONBUqUIcUMExQpeWMTvtE3lkCy/z7Qb4nS+hpbgCCFfHhw38pzOC96K4b+eHPucG9GQcULUW+NsG1nISD7KFbWHledPSLf5j/0Xsrq1g00VJ0i7IY4UGnmkcwUDp6v41KbX1Vh2zAnz0HObcFtz3LvkVZ/vVuSX7euwH6uh7Y6TbEieUtc9VYoo3oMszH97bBVNP7I4/tVqPjptj/KYOfO7WQRTHt1f66LBGqM+kOKJ7sXM+D8c3rpzFms2nFX34+A79bTttMmsFAdRSCsxXopQvd+lPxSnME/krHXZSYq2SXnKo+CaSq5dYWWZbPLQK0QRNurEiOhFFrT0cWzrNLZW9qhmIuOFKF0+Tsn/HvKexaJQF9PKRtn3zUaub9unXOdDWolLr91N9yXlYkysuZwtVDMn0k/p6/u50JpUKIiDzmcWv8HwvLjiYUX0Islghk9e/5I/7ikBAgVYX3GaVde0K/Vcc2CEfdlWbp31niqCpvzPdO6ZvUONW2Vz0BwaZbqPbPbZcTUmnR3pPw+5k8XBvFAvpwq158XkhM4xbpTr9VxXfPl7uGD7xbcsHGRDJMOKbdck4yORPXYFSd9pOu9aCmmQ10XXXNAhpgnPG4cotWaKrF2hVGYAulJ+hdW1sHxX/dbAMO9NTqPKSivEx/V0EWBMQCGTBddSBa/cF0dLUYaKMRZGe/3XEZ9z70QL5VaOmZEB5XNVbU7wVPsiFlT3szV5iMbAGGOlKM/2L6RruJxb571HzBBu1qlShAd2bUQPOdy3/CWVPvB+uoV3HlsC68b55Kx3fMGCw+9OriT+eJyWe4QiWvLefvbcJVQe9OCr76jr2JVPMvFvzXS3mCy5W4Sj6sAbQzNp+DuDl25fwsJLpReTxr4j05j2R4eO+UmaAmPKmdzaHyN5zGHw4jLfU6pExgsRGgQ9MRW2ap4zsflzPD7whZBe8pgohai1JvwFXiI1U8NuLtAUGJ0yYnPCvuOz2HTjgRF0PK6cd5hnv7iIm6a/pyR9huay/uJDHF5ax8eqjp63WBbdeYioIbreuJan3MgyPTxE7lsHfIfRElknQlzPc2vLbgb/vowqMyM6bJ/78+31z9C9UrhDywMvYWa598rnCOpTER0uGnFpRY+mDmlLt5kRGWLB0l5VkMisriuSIg+s165QAbNpN8Tm8mPkvYCa/8rubcBOqE0u63dtQWzlGi2JznnPIq7lSZXC1FgTlOuCcC7TkaXTdcHPIJLPLaWf+J4qDjoDxUqFcMniRMLTWc9Q8GpnoZJaa0L8naf7wYE5+uwKQTTURYdTbaZxPJ0T+frzyJ4F16KAgKZhavOVEHTBtRguxQhqJZoCI3QXk8CU50ZEExt+1plS6Vh4RExh/z9YrGRWeICgbtNrlyuezYCdYGZogNFSjBP5OkHwHGtmXaU4oCVh842RWUzaAbbWHiVk2OozP/r+CpZM7+by6kNTsRk9Cxk8Vs3tW94g5hdEZwvVPPbERgrT83xpxSvENPFdPNG9GO931dTcJTgbQgkWYcfPVpGr0fjCR55WB4LsXsd90mStmeJ0oZajj84l3uMw8K0umgJjGFqJZwcXMv0/PN65bTabtpxQcuOhw9W0vlji9MpqVpa1iyK8FCR52GNUC2MtFS7rKSdMOhcilvcouqbiymX8w0zGl0j38sUNvey7cjY3N+2hKTDCe5PTqA+M410xRtbTlGdRrZXi4voTPPutBdzUfAjLjw5oDIzxxZuf5pG1K2kOjao9Y16kjwV/2+P7Z5WUuuqz898gMyekRl2SdyS7W+kNZGg2l1Uf5srrDioFl3zcN/dl5cIL8ObkHNYkznJ15X5GnBiDttgPAGaFB1kS7VIoSJWZIeOEmBfpI27k1ChURuTINSveh8b+bAvTw0PUWik1Xk0YWUK6TWexkriex0HjeL6eGmuCkGarMZI0BZSeWXJ0KA9oQIlBxJ4phAiyoZQFjSzkJ93A/4XrJIsD2x/zSrREPmw0harI+1yOhCPniFJkTpiBp0w3bc9QfEnZtKTtEPsnmlhdflbwzQxB1H5leC5lVl5EFZliPz2Tq+aFM3O5ZNoJ5kV7/fcJD3esZGAgwb2rX6bk6soi5cFntsC0LHcvekM1kc/2LiLzaD2hmwa4oel9NRp+6NULqNkNfBkuShwjo4c4la3l9H/MJdOoU3n760T0Igkjy392XEjt3xi89fmZrFt/Wu0/PW830vh2ic6/SbIo1gMINWrdyyaFhMXY4qgyxk3ZIZJHS3TOiKLPdpUNhmnIkZgwErVdgZJ6TXnG82HFQYoYBRqCDs9e5RFIZNS97qCxvuoMv71vNataT6i9OusGuGn1bvbMaGFt+RnF2wvqNlfevJPhYoy54T5hI+OaVJkZrvvsawptFo1l8f/Pyf5f+/jAF0IfvecF4hGUPLneGufum55TN6vcWBsDY2ScEHnXwkXjbKGGWitFQ2CMdRtOKfiy3BDGYvNjvawpO6MWs6U5hDSb5fFOaq1xhkoiGkLGXcyO9PubgjBiG3WiRPSikm+PlmJqDm17wqNGvueBYpykOYmllZQCRhZt8lCWxcK5m42lOcR0m0Zr1A8XFa+T9yzGSlGlJgERfxDXc1SZLqNOVD1vlTnBcKlM+D3kq6gPpNRmKue6EjGxPYOW4Kj/XjRqrAkCWomkOcmAncBFI+ZDxOeGO0oXYxmnIbsC+ZxxPU+3LQjVTYERjuUa1OfrLlZQa00wJ9THUKmM4VIZ7461MTc+wNxwL2cLNWDB4clGjozVcW3DAfXZdM3l9+2rqAjluKz2CLZrEjGznMlV8/i7K9my/AgLYr3KtfaBgxfgDYa4/aI3qDIzBHWbrnyS1x5aRXZ5jr9cvl2gUK7Fzw+tp+rJMANfOsaahChw+gsJXn1gDZk2uOvqFwBoCY7wkxMbqPtBgCe+HufTs95S16fzsenEeh3yf3WKKlMU6Mcnapn1QIkDH21j0+aTtAaGSTthRt6vofVVm7NrK1lV1iFgfc0lftbDCQUJrbSJ+12j4+pgaAR85aSQwuZJzfZwy4s+CV8Uh2N+kGbBtUg5QQxTZLrFr+gnlQvRFBhTHLWLa47x5F8v4frqg+Kg98R9euPF73B8VS0ry9qRUTdLop0U7rVoDQ8LcmcpRJWV5tNz3iL1FxHqA0IZKJSEhlqrll5SB+b6itOsurKdWjOlEt4B7pm9Q6lrxkoCbW0KjHLbjN0kjUm1ViTycUPTvvOQPUmiXl1+Vn33cqwgxhamQmAlMXzATqi1J1Hj+sA4INC6ZDBD3i1n3IlMISJaSTj56gWGSmWKEyIbAGE5YariXF5nwS3TFaoiVZ1S9JD3RQxtoRElVXc9wUPUNY/uYpJpwSFlfSHH29IpXxa/tVZKZX+FdJtyn/eoOEWFOppDo1RZaV/xqtOeryTnBlga6zwPSXm4bzVtsVE2lR3nVKEWHY+Xh+fSmynjuuYDVAfG6C1WkHUD/O69NbS1DHFN/UG1D7w0MI+ON1vYePl+Fse6xYHrBPnlc1vQXLjr2heIGDkinsHbY9Pp/eFMBq8p8IWlryr078F3L2DaHz32/I3HkrIuNXYa/GkbvWGNuV/qp8pMo6PzSudsWv9V4+Wvzmbhgm5sRAOW2lXDtLeLnFhYx4JoD5O+2rfykMd4PkpwyZRy1/U0QuMu6XxQ8dmybgCqC2Qawr7RqvhZQ3Cc5y7w0MpyqhCOG3mWJ7t4/DMrWTfvpLqWluaw+fL3Ob62llmRQXTNFaG+gTFmfPEYVcGMCp61PYPNyRN0/u0IF/pkZAOPgFbi9pm7KHzNoikwqkbwVUaWLyx9FXuJoYKly30i+70XvKj2ZNlgV1lpvr5sm/r5WClKwsixINJDfSCl6CjSbHRGaNA3rwyet8efO5nJeyZhbfL/1vn+X/X4wBdCWdfCdSwl+3PQVScT8mHOvGsxaJcR1IXBn8yQyXsW2ZII0tR9nojiFPkRHQ6ayBZzBFk3aWY4W6hRLroAjuebePkbjpTQnuv7I7kFIGzkpRNnVC9QMCzfMMtS6oEBO0GtlVI3u/TWkOorSUqu0FzFyE87IiYg5YQJ6TZJc5IGa0zxS1J6xJ8Vl1TFfyZXTV1QEGOF9FxEiAwXYirAUkpnf9O5hhmJYZaXdZL1BMx9slDLH99fwVWLDjIzMqBk57/rWMVATwUfX/02MSNPa2CYk7lannlyHfbsHF9Z9pLis/yyfR3OIzVUfKyLGxvS1AdSOGj8/unNRHo1Nn5qt8hpQuP5gQWU/qmWhz7cyl2r3lA8qO1vLGXGH3O8/YPpKoG5r1BB6IEKhuqryN8j8occdN7on8Gcn0/yZuV0li7s8u8bDfNkhIpjLvnNltoIck6A0LBHOm8wbMex9BJJY5JopEChLKK+3zI9h6m7jC11iNaI9Hl5eGxqPMOzH1vCVQ0i104qm+qu6yBTDFJlpdXGsanyJM9/L8CNFd1+wrfwvbr1yh2MXBJjXdkpJt0g3cUkMSPPRV/eKaTT6IoH9Onpb5H6C9EVjpWiSjZ958WvkjQzyPDepDFJRA8o2F+sJwGff2Pmc+yanKFk17JgvbVlN4Dq3lNOmBmhQRVaLOXSeU9s/tJSwtKn0AA5VgCU5NpBU+NM+XuSpzDqCJ8ciQpIPkTWDSjOn+sJF/OsNoXQnEu2dj2d0ZLgiJwb45D3Aur7kOhGwRPyYxnQK/23Ev5IqLdY4ed5CWRE2DdEzzHkNJFRB1J1p66N9ODxRFEnU81nBgc4VagVtgj5SsJGGU2BMaSX1ahdxu6RVlZVdijUM+2EeLZ3ARHLZmvtEfAEp2jEjvKrfetYPE2gig6iKPz1sdUU+yN85eJtpJ0Qk26QQTvOS39YTXZenr9ctV2Nin9zcjXxP8SpvVtI1MW9EeDlX61Fc6D2MxM+r8nhD90rCPxNguc/3sSFW47ieDpBo8CJl2ZQcdxl7OuCBxQ38hxINzLjty5dFzfAdQfV2jvVW03bjgIn11WzquyssvMIjmlozhTPyNIcElaeUzU6gaCt+EuW5lDdOE7vBdXMt3I+Ui04dKPXZDEM7zzftstaj/Li1+dwfevh8w7tS6/eTe/FCeZF+pS83NIc1nx1DxW+pxOIjLiL645T+NZpFke66C8lVNP9zRXPM7BYFJ1dtuDfBXWbv7zoGUK6LVz/3SlawP2bn6fSyNDrI906MCcywIp4BwGtREehSnEN15UL1EgW9XJ9JX0/s4BWImVHlFVBlZlm3EccdW3K8FKiuSknLFAvW7ipy1w92bxKVF0W8BLN1t0gSTOj/NryrqX86WSsj1TSSXK17RfwjquRO+ea/zkeH/iIDcfvXmS3WGlkWBrqYG6wj6gfJdFbSHAsU0dXXow+mgKjSh4o58yCRyHgaLl5WZpDtW+KF9fz1FrjjJZidOQrMfy5seTBdBaSZBxhmS7tz7NukDdTs+gsVPq26GL0cDxbx2N9ywHU61WbaR7pXMFPzmz05YVC7TZol/Hvb13KI50rqPaLpJiRp7eQ4NfPXMS7qWnUWeOKHPrA25vZ/sv1DBXjtAaGKfpV/NO/2sivntziK9FKxIw8rw/P5vUfreHB42uJ68KHKO+ZPLp7FTt2LGLYFg6uId2mPV9J8L9VsO/xhWr0ZHsG2zrmMed/5HjxzBwMPCZ9VcDo+9U0P6sxUoz5h1CMnBOg/KSLeTqkOlnbMwgaDrrtUTrHT8X2DIpVDrk6j+aQkKGGNJs5ZYN0Xm6yYEaPIs9amsOiFWc5+SmL5YkuZLxCfSCF/dkRWm45Q2twmKWhTo5ONrC18Rj88zifXfCmUlEkjBw3fegNVtznB0f6XfaKeDtbv/Imn1vzKg0SVfQsPj3rLT78xZfYUH6SoG7TUayiKTDGfRu38+k5b9EQGPM3B5PFsS7u3fyCIp7Ka3dV7SE+0vyeIkaDgMU/1riT+kCKiFHwNxqBcK0rE8ilGK+kfaL4hOIggFApyU1SZWX5m3foHHRRjj4dT1cxE4DaLI/kGxUqZnuGP44wFbFcogFy3Ul5NYgiyfWERYA0uZRkfJEvFVDvcXaoj85CUtxnvoGd9AOSv3euWk1yTtSI18z68nXhc9JdrFAKF11z6S1WcDJXq7pbOeZsz1fSnq8kpBXP++wSDZFOxZbm8EjPSl7om6cO4riR5+hkAz/acTFvjc8gYhSUFcdPjmzkJ89vZbQUVREFPYUKfv+LS/nPA5tUNpODxn/u3cw7/7aS09lq6swUY7ZQc+780UqeeXS935mL9/Lk2UVoXyvnuc751JkpRksxYcHwh1pG/tCE7Qo+TdzIs2uwldk/LHLgbJNCJBxPxz0To/FVOJ6tE7QBBP8m0u9BSqpmS76/jU2xTCNmFZQZZlC3Sc0rkZrvUB8YV9Epi5M9nLw9yLpFJ+koVmH4NiDLrzgCnxqkysooV/YrKw9Q+sYoF1+277zYh7uX7aDt+8e5qPaEQvk2xI6z5voD3H7Hi6oYtz2DRfFuPv6Zbdwz7w2lbrQ9gzumvcOdN25nZVwo9oQZYYF7F7/KvQteUXuq6+k0h0b5xMx3Veiy/G6XRLtYVS7S4aWgJKIXaAyOKWVfSCvRa5dTZaVpDI7RZSfVWhOHflCFcAuOkkZUF15wRZ+XKJH6jC9YmHCnjB7P3RsdT1dGkxJRl5YL8pyS6yPjhCj6nEJpvSIFLHKKENJsFSjbFBhhpBhjqBT3x9RhJt2gasYFuVrzr01JrUEQDuGn8rV+IyA+T8EvhnoKgq8o15rraZzK1nIw06juZ8l9/HM9PvCFkKU7yqgwrgufnv/ov5gHBi8k7wYYKsbpyZYzWojw9P4lPNyxkrQTVs6jJyZr+cGfruf54YVMukGSRgbX03jozEp++qurODjZRFQvCJlmKca/vXI57/5sGaeyNeoAGy3FeOUna/n17y8VC82/7K8Mz6HrG7N49J3VzAn20lcsZ6CU4E/vrEL760r2pVrUodhRqMJ+rIbQTysYLUVpCAhjwOOZWmb83mFstzBtqzQyxPUcB0YaaHirxGAuLlxEixVknBCBEYNov0umJNy2o3qRvGtRCoMT8WgIjJF1g4yVolSHMqRmwbTKUZVpY+AxZ2Yv4dnjKg9s0g3SHBpl5AtZWq8S1unV5gQOGhe3nCD7j1k+Nm+X4Ef5nf71V+xkxtePsjjWpbqFOZF+Ntz/Ljdc8xZJ/5B1PZ1PtbzJBfft4uaG9/yRh+iov3PhE/zNRx4m6wQZdyLomsecSD93X/oil1UfUbPstBviypqDfG3988T9jUgiFvdMe53Lqw/Ra5ezOzededFe6gPjXFV7SB3irieUFC3BERVSKUcVDrqy3x8txYSxWCmiJNzS8wjOJz6PlmKCg+OKPLpyI6uK0L5iuSpqbc8QknXPVNlWopPNqqwyB/28Ykf821QIpjDQEwWEpZdosMb8UVdYFTZyA5MFviCuCoRUdsSSM9QaGFYxIConTBcw+oAtUE1ZiAk0JMzxbB0uGrXWuHrPu8db6SwkVWOgay7dxSRP9ywiVQpTZ6b870rjpcG5/KZ9NWOlqPL+6imU85PXtrBzfPp50vefHNnIg9sv4kyuWh1Ah3NNbHtwPX/YvwIDl7bAEMN2nJ/t3cCuf1rJm6MzxPv2kat3/mMlrz20ij67grgujEslYiNjKFJOmNFSlPRvG5l8vE4hTbrmsmuwhTm/zLGnvZX1kZOczNWKa3woTs0ej5wj7vkGa4xJJ0i0z6WUsVQR6no64WiBQkInoJc4XGhkfqSXKivD2HyP/PzcOflqJTY2neH4XWHW1ncw4sQUUTby4X6abj2rDqJyY5LN9aew/yHFzUve8xG+IrVWig9f/iazv3aY6eEhH2k2mR4e4oqv7OBTF77ujwlF4f2pGTu5/vOvsiZxVrhV+/fedy56gs9uegUD13fi12gOjfK1C59lXfkZ4nqexeFODmSa2FRxgttadquitLuYJOsG+fK0l5gX6WPQLlOqKwOPjeUnqLVS6rvem2ujKTxGvTWm1qTtcwilnF8SqSX6FvH3O+n79P9p7CqLCPk9St6X/O9SNi4f5xobSgK9HHEaiL+XKlGJhIAwInXQ1Ggz71roeIyVogqBjPkCjtGSyISTIoGsGyDthBi0y+guJik3sswIDpB2QvQUK+gsJNX+JMfIB9NNnMrVEPALWRCeRM/3L6SvWK7Grmk3xEsj8/jJ4Q2cytf5BqLCbfyR48v5t32XqOLJ0hyG7Ti/eOoS/nnvVv9nJZqtUV7un8P2/74zDbGtAAEAAElEQVSBx3qWKT5czMjz729s5b3vr+DdiekkzCzVvgfRG79dwcn/Np/2fBUJI3sel+zP8fjAj8bE4gjQWahkRbSdLjvJkZ8twLBh5l8MUhcUEtLhYpQZv3EZWF2Dc4cwO4sZefpyZbRuz/NeXRtXVB3C0MQhk5qI0HLA5ugVdayKnUVGbwBoLpRbgkskft8g0wzFqpJIzzZdEkaWpeXdPHpZG83T++ktVdAUGMVBZ/XSk+wua+VDFafUwmwNDtP0sTOkiiEMzSXvOwpfWXmA3/xVlBuSHcT1HF12JQYuNzS/z+D3ypgVHmDciTAz1I/tmVx35U4mtwpURprmzQ718Ynbtqtr5vjREJvLj7P8mk4sraSUZLrmsrXmKLH6vK9qSCsjxe8ueJr2ooBpe+0KQlqJVbGzzAgNiQ7YV9Fl3QBNgTGaAmME/G5BztRbgqMEdVtJgOWCCBuC+CzXhywmJDFYGvC5nq5IghISHy1FsSzx3cjOThZkeT2gRkbSl+Ncwz5ZxEiTM/kdywMLxEgg7hNVJXwsNlhTmZcl9QwDdgLbMc47tKWiJesGaQiMKe6Hcw6q0hQYZdINKlXNsO+wLccv8n0dzjbSFhpWsQtZN8CZXBUlV3TJIU3wQXZNTmfn4DQurjuuusG0E+KJrsWUHJ3bp+9Wn609X8XjO9YwfVEP19W/j+2aDNhTKjtpC1BhTtJTrOCJBzczMafE/ZueV15LDxy6gLqHQ4S/2EtjwxgJI8uAnaDjl7M4FZtNzWe2U2umSDlRnu+aR/V3A/zxq8toXCIQtubQKK89ugbdBudeXX3/h8frmflQnnfi09m69rCC4d0TMWr3e7gX6gr9mywFRURAXggHjucbmBPqI1aeJVddQXUooxzldTyGV7kYFQX/QBGfUarnsnZCeX85nk7Fx7oo+chZ1g2SKkW4uXUvr/7THG4s76W/lCCoC5T12uvepuCaLIl20mdXcDTfyOxIP9O+/SIhv1GQCNm981+lMNdS8mVLc6gyJ/js5cLVXgosbAzWxk9x4UVHOVuoUSo12zO4oWnfeQ7x7cVqqqw0H2ncow64rBsgbuVoCoz6hpy6Wu8RraQ4YuVGlmNOgJQmiPPy5/K9WZrDpF9YSTWpobnKddh2xXET0m3qghPnrTPJE8l7FkdyjQIx9f2CEmaWpJFR1AF5uEsFY97z1Vlm8bw1XmWm6bKTShADKMPLATtx3rg2668vORaVpo9yvCeLB9sTI/CW4IjaW2qtCVFE+d+b3LdGSzHeHJnBvLJ+ZoUHsD2hYD2VreHtnmncOuM9ZSLooPO7kyvJ5wLcufhtmgIjnMjXkzCz/HbbZkKzU3xm9ltq3Ptc53yclyuZ9+Fjij9aHxjnP5+4glgnJD63g8aAaHjO5Ko5/s8LGFlgMPPDg8rc9yenNlD93QAPfbmaLy57VV3bA2/NYvojExz4j0bWlp9R1yT6cozQqIu7RMfQhFt/ydWp3usyUgxTWGappi0ZyjKQ8wRPyt8H4nqBYDJHujFO1CgS1QsU/aIxsypHemaAhJnD0FzC/rr9cz0+8IVQ1gmQ1G1aglnOFKsFe/3mARxXV3Bqc8hhXrSXJ/4qyuromEBhDNElXFV7kL0/mOCKWC8h3Vb+KF9c9ipji0S2jeyIbM/k65c8zeDmMkV2LLgWM0MD3HP98z4ULjawSTfItOAQ9137FA3WGGeKNcj8qrXlZ7hu9T5FoJRdzKXVR2i0xjiSaySiF+guVtIQGOOWht1YWkmoSEoRXL/7aQyKQsPQpvKAaq0JRrUoBdfERWOwWIYVdBQCIc0jM/6BLv5O3CayMEj56fIgDCQljNtjV6juSd788npJi3+5yctH0ZfASut/MSLRlFdIwd+UZJEoH9b/Fz8OmY7dUaii4Jl+vIdOfWBcSelDfkckNyw52pPXJ+sI2LqzUElQL9EaFOaJR/MNWJpD0hLy9nOjVI5N1tFhVLIg2uMXMRYDdhm/Ob2aa9sOEtLE3L/KTPPvxy/CdXXumP2O2mAOTzby4ivLWLD2DJsqTzItKDryBw+tJXAkwnU3vkljcIxqM82pfC3PPrCR8UUlPrfhZQV7/+j4WioeinH8ix3cULtXcMFKYd57YClOQGPGZ4ewTNGlvt43k8TfhPn1F9fwtZXbwe9W8y9XExlwOfqlelbE23HQOTpRx/THCpyK1kE9yvdJ+gqda/qZdQLoBdCKmjpc8p5JTXmGVFuMxWVD53Xuw+tKaAFZFJokjEkubDjF43et4IqZB31UQRxAjbedpVAyVcGadYNcXneYt/5hJh8rF1w1iUzdeOVbjG+NqLDHpJlhWawD8wuOMsNMuyHGnQi3TN9L/J68PzqLKr7GHRveYFpwkLQbJqoXFNIlRQ0F11K+Sbc27mK0FFPy8riRx9KE9w3A8UI9SV+WPi045PveiLwnGQiK3007XkgJCkSxXWDUF0hI5+ukMamMVyU3ZNSJEXJtPwDUVAWVlHbL+zXrBpQSTBYBFeakMp9sDIxh+A7d4m9F01RrpTiab6QmMKGaE1ksiT1NrCE5tq8yp1RcGUcURXEjT9616C4mFWdzrBTF8s395Dp20RTHTe4jKSdKV14gHbPCA8o5+cBkM6PFCAvjvepzFlyL37Svpi0xyubkCarNCU7l69iZmcFr++dy6+p3qbAmabTG2DM5jYePrMAdC3LHhjeQsSknsnW88ehyApuG+ei0PWp09y/vX0rlsyFmf+EIS+Pd1AdEvEzaDik7AMczSJoZnulfhPudKv70kWa+tGW7MBI0Mvxo/xZm/M7h9b+axbX1+1V4a2h7GRUjLpkFQRqtMfrsCg6mG2l8rUSPl8CZrU2ZG2bCVA+4FJ2p/Q/Ajnnkk3J8K+T/lYEMA6t0zBlpH5kSGZNr6jrZ9oklbJ55RBXxuuayfONxDs6qZ0O810d8xehu1sdFFEfSzCiV9ZxIP3xzNzFTmNyGfEfom+v2cOrrXX6zFlEj9i8vfAV7gemfX0nF7fzmiufV/j7pBplw/reP0H/pI2IUAVMREpPWJDc2vc+wHRNS1FAP406EPruCO5veVIZ5UxtRkSuTB1SIpVRrhbSiGr1IBZiENCUiIZ9DEkmzrtgMKo0ML6YW0BYaQUZtCLlnyUcyPIr+3FVuaGlPdIVdxUqFOEhiXUQvMupEBYfCKAjps5VTPIRRN6a69ipzggZrjF67gmE7Rn1AIGJSVQYoT5chP3tLGvll3YCvSMmpa5Rnqvs8V7Vm++MrgAG7jCorTbmRpdM35wNRREl1khzfHMk24HqayFXzN5/uYpI9oy1sqjolnIF9MvueVCsHB+v55Kx3zktIf2DXRqa3DXJV3SFAjAuf6N9A+8ttXHDNftaWnWbMjapIAwmbN5gpjufreXN8Fvueno+7PM39C1+kw65SB4m8J4T0WKenUM6Jf5lPutlg5qcGlQXAM2cW0PwPGg/dv4LPLdpBSCvRXUxibi9HtyE7I6gIh2fSlbRsL3KoqYF1yTOKvOr1hyg/5aox1WgpJlRe/qo9l9RbGcsyOiPBrKAozHXNJWHmGN1QQDe98/hSa2vbeepzS7h63gGFjFWZaRbfdIRsSWQWySiI9ckzHPjHAutjA6rIjet5lVIvVVOn8rU0Bse47XPbcT1dkPx9PtKtLbspfNo6r7OustLct/4F0k5IHXZZN8iiaDeV6yZVES7vv8uqD6txpuARCS7GlTUH/Xss4TvjetQHUtQEJsRYoRhVhZcMRpajUUEiFUiQw5QjcFzPsTfXqkjH4m8CirTt+OtZvhdp3DlFwi6pcWJQt8+LzEm7IVXIyGysjD+OdDRdmaSKNSn+tz4wLsY8mlD5DZcSah+KmEUWBLt5ZHQNjcFxQVZ1fNdgf0RUbmQ5nG1kQaRHcR9TpTAJM6fWblC3cUpRDk02Mis8qD5P0szwwsgCAFYmOtSa7i5W8FL3bC5sOEVbaAQ0cY2e6F7MyHiMOxe+LdzupaOwz+ty0WgKjNJbrOA3x1ej741z6U27mBUewNIc+orlPPbrC8lXetx5zUuEDKFyerx3Kdo/VzP2+QxtM0cUmfe1p5ZTva9E8jtZlsY6CWgl9k60Ev/XMg6treaS248y4ItFdna2MefHWZ6tXcA9s3cw6XO8QvsjhAc9hlaL/a7WSjFeDBPrdhlKR9Q10jWPYMimFAlj+dwgGRcRMYSj/MJwFzszs8g6QTZXn+RntzYyY67g/kkbg40Lj7Prc618pOosMtQ0YWSZc8cxJuwQVVaGLruShJFlUbyH2N8WWeObVMo96PNLXuPM7GpWxs6S9wJ0FitpCYzw2S0vq4ZQ7t/11jhfvvYZ6swUHcUqUVw7UeZF+li8pcsv/qLIjMfLKw+xJXnMH8sLDh4uXJoUpPiOQhVNgVGF7k8PD6kIJ/kYLcWoD4z7KjLhXSYLMNlM1PhImoEnzCzPOVci54wf/xyPD3whBJKcqfszVlGxtoWGcT2N/lK5OAwVIc1U81lxABXpKFap4kBCslWmi+tpykjxXEKrrnmENAH74YrDZ9z3DhqwE7w2Ppd50T7Fqu8oVilZr7SPH3VihDRbdYfS+l1uWlLqHzEKCgUKGeL1Z4ZEkOZAUZDnmgIjuOjoftjpW5kWWkOjVFiT6uZ/eXQemVKQCytPqNm43PRkkSfNwWzPAE+4TFt6idbAMO+mZ/D43hVguty3+iU1Jz+caeS9BxeTvzjNZ+a9SUtAGL794J0raNhm0nzvCS5NHsH2DDoLlbz5n6twQhp1n3mZpJnB0hzeHJxB6JsxHrhnIz/Y+AefAOiy5/W5tD2b4/C/NKjU5zPZOlqe1Om6oJHYh/bQVxSS5ZN9NbS+mefkpmpmR/tpCQyTcqLIoNeME6LDFVLS3kICNwCJaE4gED6KJb8fOZZLmhkqrCx919jEyiZImhnGnQhJI8OG5jO8/JW5fGjWfkKaLe4J3WbJHYeYLAV8U0ZROF9cc4yD309zcXTAT88W9v+f3/oCPZvLFawuxmEZ7rhrm79haGpcdkPTPvj4PlWsWJqDoXt8a/VzaqYvfJJcWoKjfHW1kO/LIr2zWMmmChG7MWWGJ9yttySPnWcaeW6WFcBQKU5rcFjI2zWHuJFlqBRXGVuyQJZ+UfLekIdDyomotHPH09W4UKINri8fT/nvCwTp2zJEQ5L3BNlXjlctrYQtR4l+lx48x4077YlxZ9LI0FmsUiitXGOdxSpmR6cKv7QTVgjGFAJm+p9NKONiRh7bNUUUi3+wHck2EDML1FgTvp+NCGaWXJVzE+zfHptOZXCSOZEB/78X2Jdp5f2RRlZWd1JhZqkOphktxfj9qZV4Htw3/2WybpDduekE9RI/e+4S5qxp54qaQ0LR5Eb48a4tWIMW11z6LuNORESR5CvZ9eNljFxgc//a7er7+d2+1bQ8btD/tdNsTp5AB47mGjjzoznkkzpLPtOt0IAXu+ZQ812Tp+9fxL1LXlEk+YkdtTQcsBn+XowqK4OumcggYmk/0FusIGlmKEwGqOwXfClFqtdtnCB4ptx3hL9Nc2yMfUsaWVQ1oA7yiF4kuHKUzsYyrvcDqcfdCLOjA7zzuVbakn3+fuwS020+NOsgb/7DdD7ScBhd89RI/IqP7MT1NBZFu+ktCiLvskQns74+iO6HRNuI9fbZOW8yOkNkwcWNvPIWSxhCbSwa1UlVgH71oufU2pGFwqqyDjYvOqGKf9EgeFyYPK5Gjb3FCuUPNS/Sp9bpuVlm8yO9uL6rNkyRtw1cZdMQ1IVthlSWyVw82djGDJe0G1ZFfMG1yHgh9f6TRoZThTp/wiHQwZBuK9WyrU2RtuW5ZGlTPmxSRSbfi6G5yrBScLg8hXpWm2m1/3j8eQ0VP/BkaRBdmQwGHHViZN2Ajx5ECGlFxe8YtuOq0JAkt6wbpK+YYNiOK7Jaa2CYlBNh29BCMk6IuJ6j2hTRDe+l23iif6nq3kEov57tX8Rvu9cQM/JckDhJlTlBR6GKH+6/kOf6Fp4zZy/x9tgMfvT0Fbw5Pou4nhM3t3/4SNKdrrnUWimG7TgP/fpifv3cRSTNDKlShNFSjCf6lnL02wt5YNdGAHTEDf+DnVdw+i/nsWe8RXih+Afk8V/PZeSHbcoD49xMJ0B5mcjDQToJS4fXCitL5KxF5ETQR6JKQiVWChCY8CjkLTULz3sW0fIcmQadZMAPuvUP65E1JcaXF305tSnMK6vPcPzOCGvmnqFMzzNmR0m7IdZedJj0t9MsiPWqDnZOpJ+K+zvYevFefywoDpt7Fu9g7j8f5rbmXb4dvU7aCamDLWHk1GKfExngYze+zCfadpJ2QsqYTSJ+IDbslBOh3hrnqytf5GMzd+H4BWvWDXJR4hh3LX6TttAI5Yaw7QdYWdbOJZVHFSo2aJdRbabZUH6KkH/fCU8YUXy1hXw3bB91ALHpSqLnubJhOXaUShPh0F2uiJtikwn6a8FWaKVwHp/qxgw8v1gRhbXcQKfGJcJ9XZJADTzy/qYnX0O+z6xvpBfSRHaZRAwV2bIUV/eSgyCeOr6jr4NG0shgewY9xQps11TXQCqxTuTrac9X+anrAl0dLsU5OlmvFHiyAHxrfAZvp2YQ0kQuWMqJknZC/PfjF3E428jMkAiyzToBfn96Jf9xaLN4LT+E+GSull88dQlP9i5RDrppN8Svd63nZ09uVd8DwNupmbzx39fw6z3rziuiZWo7oK7TsB2j/99nsPORZT6iKEZ/L5yaS+wbYV7pmkVTYJRxv2A0X01Q/kic9zJtRHzk7WS6huYXixw+1eijnH4+1ohFtEsjbAguStrnnZUiGro1pRgEaKgfY2ipSVVwkrieE2iJbjN0RYHi5gk1qgLY0HCGU1+12DrzmDrIE0aWzTfsxbqvn5bgKPXWGGsip3lnfBp56dHkBJXtxy1LdnPpl95iXrSPMj2n9pVP3Ladr179FBG9gOuJSIi50QE+ecc2Lq886Be6JqlShK/N3c5d619HxhzJ57hv/svcWLdXcaNc32DzjtZ31EEsD/BZ4QGaQ+L6Jsysytmrt8aVnxVIIUHJ5+Q4vkDDVSPECnNSmcyGNJtxJ+Kj6QW1bqTKaioWpKDWWNYNKLWUsPIQRXbcyKniT+77ct8dLcUYK0Wpt8YVcn8u7w8E8i4bAgPPz81z1XcikVupgBstRRkslrEnPY23MrNV8y/fuyyu5GftK5ZztlDtK6KFP9xYKcrLw3PpLFROuXkDp/K1/OexTfQUK0gYOXXvvDk8g79992rGSlFaA8M0mmP/P8/0/+rHB74Q+skrl3A8W6ecLQEePLSWHz99GT2FcgBfLhjk109s4Sd/ukyl6uqax2tjc9jxb2v5xQsXqefsLyV4rHspk3/dwAMHL+BEvp6iX7G/+sYiSt+u4bWR2YpQ2lcsZ/x3TZT+s46+Yrmyfe/IJ2l9QGfo5UZ0zfPhY52DfQ00vVSkfSJJ2g0rya6otkuqw8p7whDRMwAXERgbGCdpZmiLjTK8KEBz8whRvchwqYy4nmPe9F7OfijAooRQR0n32NIV4+RuH/Pl/gHFuZFcnPQ5sRtiNGirTnjAFlD9TR95nZtueV3lItmewerys3z4Gy/wt6ueorNQSaV/sN0zdwd3fHobC6I99JcSYtxk5Ln/gm18d/0T/ucTC31GaJB7N73ABeWnOZJvpD6QIq7nWZ84zW0texRpVy7mi6uOMSfSr6T60vtmYbSbjBOiJTCieF0S5ZO5WnJji6tRmKkOU3GwFtSGIA9+pQ4xckLR4YYYcWJqYxkqlWH4G5h0/bU9g5QToTEwpnKGRMyK6avzpvgxDpp6P0HdZtg3tbM0R8DO/nvP+5tphTlJ2i+m5Ehv1Iliuya1VspHQiox8Kg2pwijqVJEOGnrNiG/iEoaGQbsMj9Y1PY9uEoYuLw5Pksp3eQ4b+fodHoK5QwWy8QoQbdpz1fxw+ObOZRuwEAIBQquxS9OreOn+zcoOXS5kaU9X8XPH9/K7ztXYWkOeU+MeX6zby2/feRi+opizbqezqHJRl78lw08tHOtWpuW5vDL/es49dfz2JVqI+5vtqfzNXT/6yz2P7pQkdQtrcQfDy+j/rs6z55ZQK+vEEuYOYzt5VT9MUxPoUIVpe2ZSppfLNDeXUXAL7oszcEcNQkNCnSupyiew9QdSmEIxqcOOvn9yegSEMVQY3CM3mtstI1j2J6p7AqumX2QU/cHuKzlmHoPCTPLzA+foPXe46yItZNyxOhmXfIMs/7+CHetfkOh2ZYmXK+vukv4aUnS98zwIN+/9xd8cslO1eUD3Nj0Pl++7QlWxNoZLpUpU9RvrnieL81/FQNXkfbbQiN8YclrrI6fVod42hWu19fWCdPSUSfG3lwbi8t6lEM0oO7fKitDo5+9J3kys4IDTA8MsS/TIojnTkSZg8r7Ie/5TZpeEvuuHwwtkQc5tk67IYVk274sXTanUoggQlWnAqUNXNJOWB30EhmXDYKueWpvk02jNB6U/9Z9WwhZ8Kd8dEaOMwF1nwgBicipzDrB84r9kK/Aen18jnLpB4GGDpdi7ByfTtoXYwg/oxJnctU8cHYDKSdM0udI6prHg6fW8OvTa3wCurgPpGfeqVyNL74pYvm+Vw461YG0QrdSTpj2fJVSicq9M+sEeeFn63nmFxt9j74Cuuaxc3Q6k3/dwO/eWQeg3vvDh1fS/DcOT3csBGSOoEvnO03M+IXHickahkplNFlTTu9/jscHvhCa+bsJ3uydrg4vAOtEhMoDniJpjjsRIkaR4IiGNakpON/1NGqCafKVGm5N8Tx1RHN8nN71YVprhNJi1IlhaSXmr2rn1K1BFpaJHJmCa1FrTRC9pY/8p8aoD4z7rxllYbQX55sjrLruIHXmOGlf7nnXvLeY8f1j3N7yLmOlqEKsZHEmvWAMBIn4jo9t597rnlFIFsDSeCcf+fgr3N7yLiNOjIheoM5M8eH6Pdx32bOKHyN8LHQ+P+d1vjX3eWU4mXLCqrsP6jYNgTFGfWlnSLOps1I4nk5PoUL9rMaaoMKcpNxXBUmZtq65DJXiNAbH6C8lVIcsu6Fz0aexUpSBUkLNjsXmZ/n/O+W8K3KGBKyacUIKcZGf/9x/S9hXSmVlJy4N7izN8Q8KTW18CZ/HYZ1TQMvDy9IcVazkPSHPjxl5hkpl1FoTykQPpsz/dE3A1QBnC9UqH0i+75O5WjVaqrVS2J5JX7Gc3ROtSg4sEcv3Ui28m5pG3hPct7hPOJSS6TI9R8YJYuDy69Nr+Ke9lwljQlPM5w/nmnj0T5v5xal1FD1Tfb6f71/PY7/fzPFsHZZWoiUwwq70DF76bxfw+HsryPgIWtzI8U+7L6Pv2zPYPdaqvpOUE6b/gWm88vO1vjeMQJFe6JxL4/d19nQ1+xJjgcaV3khS82yQ7pwYR0y6QQbzcep2luhtr1KeKZbmwIRJIM15XWfYsMlVa1jJPDILy9IcFrX00rc+wJzYgJ+z5VBlZei7vgibRacpx52XzTlKxzd1bpi5X90bFeYky+44SPOXT7Ixflz5s1xafYSGfzjF51a9RrlvX2DgcdvlO7juU68zIzRI0EfRNiVOcNFd7/LNxc+rNSC7fSnSyPv8tKhe4G/WPMVnZr+pSP2jpShLop3cv+wFFkR6FHpnewabkyfZWnn4PPQ6ZuRZEe/w+YMBtU8JN/ZRhfzK+33SDZL31WXn2kHI6ygl5pL0Lu5lUxVeCSOrTAllkyDH+yqzzzPUe5PrRl57uZfKNSTfS3uxiqFSnIVRkVslR2nnkr1F05EXlhVOjGFfPSqbGIHWhtVrSIRR10RemyxgJN9wwE4oib4snnTNZf9EM52FpBoFy4ibB9vXMeDfE7JhebZ3Ef9xfLPat6Ts/V/fuIxHzi4n75lEdZFk/874NB7/3Wb+1LcMx9NptkbJOCEeeHcTjz5wMSdzNdieSWtgiDOFGo7/Hwt4/A8bVZEM8MTZxQz81XT+cHqZQlzKjSxPv7iG2D+V8X6qyb/mJdrzVUQfTWD8SYQu15kpRbdwPB3bNZTx7KgTU0q5rBvg9eFZPNa5jEwpSMwoqEIJwPU0aq0UEzNdJmZMjcsDWoll5V2cuT7I7Fm9imtkaQ4fmruf4/dHuLLliLpHDM3l4q37yH4jpVz49+Sm/9884f9rHh94jlDkvw2zuDpDXM8rv5Rbrn+NETtKW2hEwZ4zgwNc9Yk3SZg5En4Y4XApzvxIL82f3k6DNe5X4oKcfGHFcS79+BEfjg+om+iy6sNcueWg78Apko9jRp7bmnepQ9H2DILYNAdGuL3pXWzP4KXUAmaFBxUBb0W8nXKfZCa5OPKQljb44Od1KThUdCIDdoKgbot8L38kZmkOXXalYubLLk50amLzK5yzMQe1kkJAQHQhMnFc1z2O5BpJ+uRrMW4MKhI24BO5y5TXSdYNYjOVriyIr1MqMnlYVJiTingXM4SJl8WUP4gMiJSFnMxPsjSHzmIlCSMnEBK/QzPwSBoZUk6UvRMtzI/1IQNuh0sxHE/nWL7el5eXlFHfYz3LaIimaEmOqKTms7kqXjkxm48sfI/Z4X4Fff/iyDqcksEXlr6qeFXvZ1p4/fHllG0a4I7Wd1Rn+j/eupjoWYsbb32dKjND3MhzeLKRff+2lIF1Hl/asl2Nr363bzXTfgd930hwc8N7QvZbStD5n7MolmnMv6eP6oCId6j1HV8lZN8YHGPATlB8q5K6Uw7ZeQHKQ1km3SCTpSC1u2w6assIzClha6ITdictjAIEdUH2TRhZomaBTKOOVZb1fZEEYX5a4zBdlzRya0WnMm1rDIwxdk2WUNBWoaJxPc8lzcd56dtz+HDbfuX8nDQn2fiRvWRKAWZEhkRn7FqsTHRw/Lt5bo51U21OcCDbQn1gnC9dvJ3UZhG9EdBKFDFZEO6m9lPb/PtJUxvr5dWHuPTmI4pULdG7v131lOJpyJ+viLWzdtEpWqxRXphYiK55NAVGWZ84pdbKufye5WWdRPSicKP+P9n76yjJrvveG/4cqqou6OqurmYeZmbNCEcMFlpsy7JlkiWTbBkTJ3ESJ04ckGO4xphtGcXSCEcjDWk0zNzd00zVxXXqnPP8sc/e3ZN7c98nz3vj9bxe71lLSyN1TRedvffv9/19wfeMaQ6M+XYFQqEmRwbzwr1KOSe9gUbLEVxDKGgKmkWDT9CPmznCeslX0Qg1maF5pJwwaddVo2Y5Ygn6jUDaEaPHmC6KAokWy4Bf2b1X++Mc6Wg94Bv+NZgpDuRbyGmTJn8FP4S34PMlxXhTvIegXxQMl2M0WpPxKpZWZtSJKOm9pCIUEH/vaK4B2zNYEDmnkJuThVpGS2GWVXbRVaphVqgfS3N4cWQuBcfi6roDYg8yxKjlx4dXsbSlhzVVp9QI+IXBuRzf18p7L30FqQoteSbf2nQ5bsjlg+tfUQaAL4/N4cT3Z1O4doKH575C2qkgrJd4bPNGGl7XWf3IWzQGhE/R2xPtnP3qbHas1nno+mcUcvGrI0uZ9g8uT39uPg/PfYWAVqa3VM3wS00k99mc+asaFke6KXgWPYVq2p6CwWU1GNM8FX57JpUguc+mf11MqAfRRayGC0ZJjo3LnCrVYellhpdo2JUSaRJo5rKGHrZctYDl9cIcMqYXGHGiLFh3gn2tLbwzOkjMyFPyTBGL9L5uolZRxKbYwlQUXSBjUiE6Wo4SMwpcGT3EU+mFjJYj3NG4QzUYgtYQUOvMQSem53n0qiemNHwiQHt15CThjUVVkBddCzSHeeFepq0YUverbAjWxE6wJnaClBMh41poWv6/oxz4T68/+ULoHbV7yFfEFSs95VTQGBinMziowjlrfZWXpYtx0IA/qpFz51ozTdp3DJbIhCDZMhna6is/5ExY3mwSRoVJ+WvcyDFcjhHRizzet5wHWl6nIzSinE5l0KMYfeSVyZZUA4Q04VQ8CaH68m8s//kqCCI4Ab12NUlzgkqjQNYNcqzQgOPpfhGTURX+1LHX1AyyqREeUg03aFcKOaQmcpck5H2iWE9vsYpFEZHtlHZCpN0Qb4zMoCmcYla4XxUte3OtvH5uOjd07Fd+F6lymGd65zOeq+CuGW+RNCfIaQEGS5X88tV1JGaO8t5pb/jeIRa/6F5O+oUGltx2gI3Vh4gbgk/1vZcuwa2y+fK637Mv10pQt3m8ZxnmP9bw9vtb+PzCZ8GFoFbmh89cSsN2h9gXCyII0LPoK8XR/jHJnpVNrLjjLFGjQNzM8fKxWcz85xKv/fUM5neeI6YLqW749ShG0cNebBAzBE9gsBAlub9M36IotDPpeuxpuAb+Z5wXzrCBCSbadYINaRJGRhgm6kXmd/Zy9PIObq85I6zx/YOm+M5xwsESSSutRnxD5Zga1aWcMNVmlvbgMBfcspu0HaIjNOwTKF3mRnox/8rh2qBAR1xPx0XnofUvYl9gqIPfQVgPfOjdT2Jpjtq4YnqB25p2wY27VBeYc4MEsfns4udERIC/WbroXB4XJn3nitXEjSxpVxiWzgr3qzXj+IVxWC+yKNqDpTkM2FUkzKxyu7Us8diQUWJfppUZ4QEWV5zleLFBoXKCoC3MKQ1jkv+S8b14JCIytSkpeBbHSg1UW1m14VsIXsmJYgMJM6MURkXXUpED0p5BRi2I73dyS5XjHkmMjvgBw6IY0akycnTbCVWgjJUj/u/UVEErSORZas0JteYNPIb9xHcxRjM5WaxXik65J9ieyXA5wrFMHRuqT0yilK7Fk/0LqA7muK52H0krzaBdqRrFuK+iCyF8z352YgXZ8QoeWPG6j1YanMon+fdfXo61YowPzdosMgc9k3/ZdwmVmytY/p59rKk8ie65nCtV8+r/WE2+VmPmnYOqGH766AKaf2Jx5qM13N/+hmhQyhanfjaT0KjH4Oe6aLTGsYBXx2bT/i8aO26fxcWXCxl31Chw9GgzM35XZN/KZq6qOSCUUi5UntRxgjrhC0vquyg5BkYJDN1VFh2W5hBM5km3iQa3PTBMfznOnGgfL185j2h9ilpzggP5FjqDQ1wz8xB/eHAxt3YIDuK4EyZmFLjglt0cuKSRaRVD6vu/NrGXsUcraDdLPl8uiKWVuatjJ2f+OklHaPg8Z+aPrt9EZm1IZcIZnkfYyPPQ9c+oPTjnBrAdk7Xxk8y5ul/wrVxhzpkwMqyuPsO1tfv9cX+F4trd3LhbjHP9Zncqt1BkPlaoIv4P6UUYeHQGhxh1okpoJNW6k4iQKIxcT1O+ZfJ+H/TFEmGz5Pu5CaRU2itMtVERdg+o8xXPwPP+uMOq//Kzbd68meuvv56mpiY0TeP3v//9eT+/77770DTtvH/WrFlz3mOKxSIPPfQQyWSSSCTCDTfcQE9Pz3mPGRsb49577yUejxOPx7n33nsZHx//L79Baa8Ok8Gkw3aMghdQXZoMFpweHFBfNoiRStzIqqDSmF5QhDO1+fnwf0grK58gORMWdvRiviy4FI46IIK6zcFcM3c07aTXFm7R8iDTNY/+YlwpBIK6Ta0pZuxPDS3ibCkpwgE1wbd4aXQuzw4v8Ds3T8m7v3rsct9N1GGkHOVsMcn+VBM/27yOE/k64oZYcGk3xNcPXMS/PHu1KmrCepGuYoJv/eZqvrH1UjWOsDSHX55cxrNfvZDnh+apLjjlVPDTX1/K2/+yhNPFWvU+TudrGf9KGy89t1Td+AXP4ukjC2j4c51ne+ap57P0MplnGqj+sd8peAG/8wvS+qLD2NGE+vsAo+kI1ccnfZJALDA8oKwz7oRpCYwJD4z4EIPLArRWjyt0y9LLJBYP0X0lzKnoI+RzYKJGkf73FZlzxfHz0IbbF+yi+JUMD3W+wr5cqwqMXfWu3ax5/9skjKxSH12RPMTiL+3mkSWbsH0OwMJQN7eu2sl77nyeemvCdzAX5NEH7nmGRxc+T8oRctOeUoLr6vbxVzf+goSZVcTMoG7zkVmvcn/7m4R8tWLBJ/bL9+94gohZ8kwuqzrEBb4xp0DQhHR8WeQM7YFhekoJUk4F9T7iOelhY6r3rcYRPjlabFyiMBDkZl2N7kp+42B7phpNHik2AjA9NEjBE0n3Mb1Ala+0ARQfQ3KW5JqVsQXD5ZgaT4AwLH22fwHPpRYpdSH4ajkftZh6SSTF9XSaLZGSLkeyEj35j+NMyX1L+w7aMaPA/nQzp4u16rPQNZcj+UbeHJumDjTxO4P8snsFO1IdytjT0hy6Cwn++e1LOZ6vV/E5YaPIvx28kG/tuEgVOABvT7Tzy19dzOM9yxhxogrVeWzLRn713csYtqOKszJmh9n81TV8f9Ml1JoT6Jrw8PnZlnX0/tMMXhqeI4oxvcjhbCOlbzRy7PezGHfCwkHcyJ/HaZFosKWXMV6PU/eK8Ewa9iXZA/lKag46TIxESJgZlWGoAXoZZDSNvB8npkOhUex/cUNYZixu7aHrGp1lyW7/cxfjI/O6YfJ3jZM0M4oAfWHNccY/n+O6C3b5HBdxf969dis1f3OWVfEzCr120Lj2fa9z3T1bEBEi4p6/pf5trnpkM++b+abiyQR1m08t3MSH3v0k88Pn6LYTKpj0kQuf5b2z3mTCrfC9yILMC/fy2TXPMqeiT42yg7rNgkgvt7W+rTiHRdeiu1TDrXW7uLT6iC8fr1DUg3nh3vMaUNn4yu9YrguJ0k/lfUnUWjatkh8JosGS1IS0H+kkXeRLU9YtiIa80RpXPNS0G/LPsUn3abk3A0p1LWNg5JoS4cjeeRYyabeCuaFeiq7FoVyT+h5l8VXw43gmEUdPqJ/9okvSGf5Y13+5EMpmsyxevJivf/3r/+ljrrrqKvr6+tQ/zzzzzHk//9jHPsbvfvc7fvGLX7BlyxYymQzXXXcdjjO5ed11113s2bOH5557jueee449e/Zw7733/ldfLqN2VB3uciwzVg6zK91OULdJmmklCX0r08nBTKPauOJGnoFynCd6F7FtfJqqWKOGCFv83sG1vDI+F6mmAXhjfDr/Y9NlPs9iMhX6hwfX8NgT13AqX0uTNcbF4aPk3AA70tOQhoFyXPTq6Gy2fWUlPzi+RnnIlDyTr229nPEvtrFzvF3Bkl2lGo7++xx6/20GY3bE32hy7Mp0UP21KC9uWqoSkoueyZ4zrcz6QYZtfe0UPGEPAKAfjlK/A04Wan1PFV34jIxoaHnBlxp1xFghXlGgkNBprJhQ5N64kceek2N4Ced1DfWBCc7e4lG7cgBAkT7vWbiDk49arKk/43dnYlyw6M4D1H/ipCJAWppQTrV94SgfuHKTUqpZmsNH5r/Khr/ayvr4cdJuhZrlf/CKTTxywXM+qqGRdipYWXmaD9z7tDIwE3EpWe7vfJNHL3oa2zPJukHhVhsY59GFz3NV7UHA71icIG3BEW5u2sO4E2Z6aFCRWpdGu1gRO03aDSlVjutpLI50q8MxphfYX2ilLjBBwhCbneR+ydGSDD90mAzsHXGiylzSwD3Pc0d6f0gVjCQix4wCOUeMOsediEJJ5AYmN6oBu4q4kSdqFBh3Ir4RoHOeEkYe+NIbx8Cj3hK+NnLzdj2Bbog4DhE6KonV0u1bvk+Y5IRJ00d5IAR18d5O5Ws5nq/3FSyCe9ddSPDy6Bwf2TFZGj7LTY27+fXby/lF/yoVNxIz8ryV7uSx7aLYkIR1A08dFmdKSXTNpS0wzIFsCz/64ZX87MxKOgLDigz65Vdu4IlvXMSBbDOSDH6mUMPJx+bw788K4URIEz5iv928mqG/n8ahTBNhXYSxninUwDdrOfiHOecZgT5xdBHTv+Hyeu80/zsTr6vi1RjJLZNIrIHHQCFG9XGX/tFKZO6XpZXB8PB0McIE0RhUmgVGFmjozTn25Vr9fSBP55w+zl3uMTM2qLg/i6I9TLxrgtqre5jKwZOFtvid4uCKG3lW3bGXRR/ZR605oRCz6+v2Mu+z+3ho9ctKfRQ1Cnxm6XPc/rEXmBvpU6hLY2Ccj133FB+5aJO694K6zSU1R/n4Jc+xJNKF4+mKQ3d/55t8YObr56HpYb3Iuzu3scA3LZUOxm3BEa6qOeCjopXM9JvZpJVmemhQUAt8BWTWFUowQDW8VUaWY4UGNY6XTYAQDIiC6JzfKMt1LfbCiFIRS4PZBjPlO72HFQ9sxIlS8h3m5b6YcUKKCyZ5cLIpl/mWUYXIm4p/JxEhiQrKNeh6QhQxXBa8pRPFepH15q91iZDKBkPymkbLUcWZkueXVEi+lepQcSrSMuRcsZrf9y9Rr1Hckx4vD8/h+6fX+QrqgmpMPrXtVp7sW0hrSKQFyP1JqtnE8wmvqR+cWcvvv30xe9Ktipj+x7z+y6Oxq6++mquvvvp/+5hgMEhDQ8P/8mepVIrvfe97/PjHP2bjxo0A/OQnP6G1tZUXX3yRK6+8ksOHD/Pcc8+xbds2Vq9eDcB3vvMd1q5dy9GjR5k9e/b/9HuLxSLF4qQt98SE8P148Z8voHh3kU/PfUFJkH+9awVNL+ikPlbBmqpToip1grz685VEe1wSn86xLHIGgJ3ZTrx/reNYayNrPnJKwdxvDk+j82ser907j3mX9GIgfGLeOtPOzJ9neXNGB4tmdis+CmfC1O90iV5VZF++jcNaM3VWWnF0pH9RUHOJmCUmOgxqIjn/0BSy/2kdg3Rd1czi8CgBrUzaFQni5WvGyZcN6gLCoCqiF1kU6WbnJ9u4qPaokn1Wm1luWbCbw//UwLtqD4uFoQnuzS03vk7+ektZ/1ebWeqsCW6+/1WSVloQch3RRd/ZtpPU+8IqrV0WN48s2YSzRHTcWzMzaAwI+emXN/yOtBNSvBNDc0maGR5ZsomIXuRgrtmfzZdZFxfpyXIzkgv5oirhu5H2rQMkz0Aae8lraichu9tJnlKA9sAwhwtNYvyju+d1U3G9SBHx5yojx1vZTl+WPQnhyo1iKinbQVfKryZrjLNekrQbot5MCaTDs1RumlTIyI1I8jfk65PdnPTfkE7XknMW1G3lG9UWGD5P0i8LqqjP7wDBAUiVw0r6LOXpx/P1xM08c0O9nCjWY2kOPaVqDk80sKb69JSgUJ3f9iwlbJW4tv6AGoONlKL8aNs6Ni45xJrKk6SdCiytzD/tvQx3OMhHLt2k+G4n8nVs+fkynAtSfHjuZlZETrM318YP31pH3WsWF35sm/JK2pNt4+1/XMrwIo05N/ap7/HpAwvo/LnGli8Y3FAnitmeUoLGTSYnDs/kwvuPszDUzdbsTJ47No9Z3y7y6hdnMHtGv0KC6qwJYT2BjN4x6S/EqDrlMLQqRL8fnWFpDoRcnIBJXSCtvKQaginG5mqY0wSXxvVHedMWnuNEpIGbYt1+ynyGhsAEY+/O0FQ5oQpJx9O4ePpxjv9FLXc37cPShPqyPTDEknftV/eP5NldV7ePk5/ppzGQQubJAXx03SaMdd5590xIs3nXda/QEhhVo/mcE+Su5h3YTYYyzZPr4eHZryhURBaqwsldBomWGC7HiBs51lSKNSn3z6JrYeguCyK9CnGRTYikIGScELbPD5IWFbrm4riWGPXj+byoyT3bwD0vpVxK8uVhLw9rA4+MaxEzC6pBk4XHmVKSoG5TZeQmDRN96oBEVwRyL5CJgOaQdyz13qTfVcENkHLDipQtuEpi9DpajpAws8SNLF3+8xm46jNvCYyqdSbl45KALDkxp/NJagNp2oIjaux0rljFvvFmLqk9pkaQAC8NzmG8UMF9HVtVDMuYHeGXB5aztKOb9YkTWH6R8cLgcs5saWPDlftYHjujkJifbltLqN/kjpteJayLfazLqeCF764jPc3l09c8oVDlFwbnUvhqEzve1c5HF7+MdNv+9Z7lzPh3hxf/TOfu5u0+8hzk5HPTSB4ok/qyKAhLnsnxfD0tvzHpWdeE1fw2ZwpJZd4b89EtOTqOWEVyxQCxQYexkmgkA39kQ8X/lkHcq6++Sl1dHbNmzeKBBx5gcHBQ/WzXrl3Yts0VV1yh/l9TUxMLFizgzTffBGDr1q3E43FVBAGsWbOGeDyuHvMfr7/9279VY7R4PE5ra6t4g0UPD7HIpKIimswyOtegOTQuFpXvFZNdmqd/g8e8cC8BzcHQPBZFe+i7p4B2zYg/nhLE4o11Rxj6Qonr1r5NTC8QM/KknDB3L9hB4B+GeO+MN1WBE9ZLvPPqLaz6/E7agiPKs0aa6skNqeArwZbHzvCedz/Hva3bBInNn9Pe1rSLL9z4OMuiZ6fIv4s8OPs1Pjn/RcWlkHyLB6ZvUUaDkjA9p6KPG+r3KoKjVC3NCA2wMNKjHidnvjLksNeuUrCmhPN1zVNjk6kmef12nBY/FFaOV6SUe9SJMFSOTfqwOCGfmyG6W9tXQqnYBjegiK1TZ9NSmSH/G1CdUkwXHBdJWtX90ZncZKNGQUlXJ7PEJn06DFy6SzXKK8fA9Q3U8gyXY/TZVYonJguTYVuMbrrthLIkeGNipvr/8jqSb+TpgYXKL0O+xx+dXcNzA/NVEWR7BnvTrXznjYs4km9k3IkoZOj7+9fx/Vcv4mC+hZieJ6TZ7Jzo5CffvZJ/P7F6yhirzDd2Xsymf1zPvkwrhs+HG7ZjbP/HFfzqtxcx7nshAfxq2yoyf93CW+NtuJ5OqzXC0VwDznfrGPhNOwXPVOjp5nPTmPnDEq+fneYr1/KCV7IvTN0OzVcoicOr6JhE+lyKBdHNnikliZs5AtEShWrNP5DEaDlpZRhcCRXzxlWcRsGzmNvRx+nbNNYnRNE1VI7RGBhHe88gjdd0YeBxvNhA1CjwwKItlP56gpva9xHSSupeyUzpRCN+Qbuu+hQX/dmbPLTg1fP2ky9f8Dvu++AzRI2CSuyOG3keuvUpPr7gJQC/+HO4rWkXn13/tBqdO55G2CjysTkvc0vT2wzbMYbLlRS8ABfEj3NX6w7FlbM9g1EnytWJfSyOdfucIRkfYzKnok8VH3J9hDRbjSliekGZACbNNAV38lAP6bavgvLUGhLGhjoyzLbGyDDsF+SSLyJHZMJEtsjpYi2jToQq339GSs8t36fL0hxyjhg/hfxcQlngSPWW9HQqymwpH8EL6SLzUK5fiWKk3ZDy05oqqJCohhzVp5wwZwo1yshPKD7z9JQSvDE2QyE8guhr8vLwHA7lRFzOWDnCobwIsxV8obJPe/CwXZNfnFrG4z3LSJoTynPseL6Onz57Eb85t5SUE6HOmiCsl/iXo5fw79+7ioFSpXrNBh5P/mYdv3z8YoWguJ7OW+NtHP2b+fx8z0o14gvqNr87sATvy7VsGZmuikuAvifa0X6S9MUQ4jvvKVTR8kuLXUc6z0NPTvbX0viGTXe2SqHOtmdgpgyCI+IxQd2m2Rqj7OoUq8CJOmq92p7BjNgwfReYdNaNqAiioG6zYe4xTtxlsjJxVuynnuDDzr/2KJn3j9MWGPHfo8iMTH7yNDdsFGKguJlHBtLKonhqcfu+mW+y4rO7uCJ5yL9f/rijsf/jZOmrr76a2267jfb2dk6fPs0Xv/hFLr30Unbt2kUwGKS/v59AIEB1dfV5f6++vp7+fmFo1t/fT11d3f/0u+vq6tRj/uP12c9+lk984hPqvycmJmhtbWXDp7czs2aC/nJcSXE/OPt1YnPzVBoFSj5nJ+2EuHHuXioMsWGOlSM4nhhRPLTwNcXtkZbjM4ID3DNtp4p2AHGYxo0cdbUTikMk3W5bAsIXQXY7OZ8fIDu0IpZCWKTJWcGzaLbGOF6sV+MNYQQYVJuDg47jQUgvqcVT8DeLuO9rkzAyQtnlBKkN9ftIxGSgoaziJelNwuVVRo6CaxHwixQ5lpGhjoBCOJqscRVBot6j798j0QIRwFdWfx4tRwkbRUX4tPyfTUpTPd9VuMzJQh11AbHphP3XM1qOcijTyOLKbsJaCemyvDvTxlAhStQqsjouVBV9dhW/ObmEJQ3nuCG5m55SDbZnsivVxlsnOnjfsi1KjTfsxPjByxfjhh0eXf+Mj2w4PDO8kJM/moV14xD3dwqOzuliHT/edCHVBzWu+ZgIOrQ9g0O5Jg797SL61+g8eN2zhDWbkGHz5OtX0P5MmbN/laLazApfIDsG362lt90g+t59St77Vl8rM39S4rWmGUyfMaQ+p+CBCsL9HtaFDlV+tlTRNakYchnOCbuDgK+eqYgVydeJ/+f4fKKEmWVwFVhNabVeQprN0vmn2R1q4774OYK+6m9mxSB73jdIwhCj4pKPin141mZ+9qVVvLd5nxrdxvQ8N97xOhPl0HmBnKvjp+j87LAiM0uU4CMLXiO8SIgDevzCM27k+PjVTxPT86RdoeopuhbX1u/nvuY3GPALclmwfqBjM2m3Qq0ZAyEquL35LeEF44+m8TfdoH+gDpVj1Jspn2MzqWxJOyGaAmP0lBLUWymlyix4luLNSAGBVGQ56L6vVliNFF1Px9Bc0k6IGaF+zpaSqkCQ5FTbM9Qak4ii6+nYTHrJFHw0MW2HfK7gBCeK9dRZEwolEr5Enr+/lZXlxX98rfLQkY1Dygkr92KJWEqpfMpXVIEQhEiOY1gv0RwYY9iOcbaQoDaQESiUjyCeLNSxY7idC+tOUGdNYHgeCyu6+NKx6wkYDuvrTmJrBtVWllP5Wn53cAn1tSkemb6JgmdxolDPb08vJnMqzo0X7aAjNELUKDBoV/Kzxy8l31Hio2te9PcGnd90LcH8cQ0H39fL9Y371Of2s8cvJdrtseATvbQERAXwZP8iin/fxLOXdtJxzfNKFAAoRa4cC9uegfZKNaMV0HWXMOyM6EW2FTqp3+7S01pNoclE98R+mR4LUz/kkndEwSpd5ktxD8/wpjRrZTojIxxYM4PmxmGkCWhYL7F+1glev3sWd1b1KDWe7Rkkr+vBdgzagiPqHFpW2cXoIxHeGe9TKHXBs/jQos3s+VILyyq7xP3jq3Hfc/XLAMwO9dFfjvN2roPZ4X5m3v0Hdf+OOhFieoEFkR4W3NxDlZGjvxwXAbXmBFcmDrJuw0mFAqbKYcJGkStrDlJICN7l1Lip9YmT1FspThTqlY+U4RfK0iUbRN5kwTOZHhpC90PKHf8+/GNd/8cLodtvv139ecGCBaxYsYL29naefvppbr755v/073meh6ZNVoFT//yfPWbqFQwGCQb/5w+vJThKxudZyEsulnEnTK2fvdWvxZXk+nC2kUQgq8ZWMSNPg5ny878c0o4wzJORAFPN0ZqsMdLlEDaGGkfIDVIafUmUCPD9RSxVfEjVhiywRspRgTj58RwJM6M2ZLkJS+m+nD9L4y45PpLmXnEzx1C5krFyRB1UEtYdLsdIlSuoC0woRMjxdHalO9A1l+Wxs0T0IpbrcKzQwI7hdlbUdDGzYoCiYzHuhNk70cLb51p4z9xthM0SMvvpa29eTrCyyAfnv64Kw50TnWz//SKaL+/ilqa3VfzHYzsvoXpHgJs/9IqvUhMBjC9/aw2ZVnj4lqfU9/e7rsVU/22Yn326gb+Y9wT78m3YmGz/yVKstEf7/cd5e6KdlZWn6clXU/etCrZeNYfVV55WSM7OY53UvWJxYGYTV9QcxNIcThdrqTymUw7rpNdNGkmWHBMr5+G4MkOugvbgMDQVyI2GVeFZa6aJGkV6L9RIzBxhTrCPLruGvlIVq1ceZXuyg4tCY9SaE/SUamgMjGO+f4A54bRSFwHcOm0PO/+6nQ/V71Xooq653HrHawC0BUboL1fhehqr46eZ92gfLYERpcqqNdN8aO7rMBe1uUtS46eueFJsgH5B21NKcFnyCFfVHlTeLrLguL31LToCQxwqNANirj9sx/hAx2aGyjFfEKCRciO0BUcgOHmQBv210RIY9QtfAb+nnAraAiPKqyZsFInoRRxPp8MaZnt2Ogkziw1qZCwLj6lEToCYnud0sU75LwlExTyPSCr5GbIgiOol0m7Fea7ZkqQp147j6WpsKWMWZKFgaQ4RP0okpguk09IcZdMRNQp+EGuAgmGpIkJkhVWqwFbHRyzSTkgFBUu5fc4NgCeeS/LAxp0waSfEK4OzuKrhIPVmihxCufPTsysJmWVubN4jPhejwJaRmbxxcCY3L9vFtIoh9d3+y5uXQ1njwxteotYU6sNXRmZx+lcz4fJRPjDzdWzPZNSJ8qPt66jZbnLZR7bSGRwi5wbJOEH2fH0J47PhA+943u/wNZ44sZCWfzV54XNzuKddWIZMuCHym+pg0EX/1Ak/tsJjz1gLTU9YjNweVry9lsAomVNxaneBeYk7yWlzQgRSUCgYqjh2PJ1YsMhInU5LKKuQEdszcBemGW4QZoyuP7pekeji5/fUMbv5nPJfqrdSnC7WovtRD/K+j5s5Ft9xgKDuqILE8XTWVZ/k2Oey3B3pxvZM5er80VUvMbxUpNIXXUuN2D9yzbNKOCObz5kVAzx0wzMkzAxni0n13S6r7GLdupNqncscuhsb96p9uug3maPlKDfUT3pfybMkbuRU85ebMjUIW+I9yCxNOY0wtPN9neQZJBta2zOEatqtoNka42wxiWU5auQGkyP5rN8AVPk8oFHfKLUlMKr8pybX2+QZOBVIkOtw1P3jCtr/25+tsbGR9vZ2jh8/DkBDQwOlUomxsbHzUKHBwUHWrVunHjMwMPA//a6hoSHq6+v/S8+fdULENEdtpDKeIuVV0GSNqxDTjsAwDaYIxZsV6Z+ErX3YeLQcVZuk3EzPlYXRV8LIqtDTCbdCKT9kqJyuuWScEIOlSuoCE+ScoEqdPp6vpytbzRXJQwT9ri7lhPlNzxKWJ7uZVuGqG/N0Psl3j1zATQv20BEaQdeECuTfTlzMyJlq7lr/Jm3BEWqMDPvyrfz8mQuxqx0+uuEFFReydXwaJ74zh/LNo7xr+naFHHxr+0U0P2vQ8onjbKg+rvJpdv+PRWguTPvEMAFLkEa3DnYS/Ks4v/1Agk8sf1ER+3ZumUPHUwUO/n2jiIzQbBEh8bpFsTpAanYYy7f1P5eLk9xnc25VnGKDgFgN3YWyjl7GLzA9YlqBomGR7gQ7WVaHpaG5rKzv4sXrl7Kq9oywx/et6KPX9JMrWUyPDjNYFN/FpdWH+elnK7mxsl+RdV007ly6g755cdbGT6qRQqM1zrXvf52Q77AsZa/X1+2l8LlDapwpUblPL32BzKKQGhvZnkHSyvDFq39L1g1yppRUBOjOmkEWxHpJWmnGnYjiNtzRslN1WqPlKHEjx4zQAPHa3HkBikHNYZaP6smNTvKMmqwxjhYaxRjPL5zluKPgibEgHkiHXMdDZeDJLK2UU0FIRmv4mVkpJ8xQuVJtXK4nZPVD5Rit1ii7sh3MqugHV0SG1FkT1JpphqY4YEd9l3U5Wk6aGbVmhOxcV5yDI8VG3wRQWAaAKESGypXn8UQKngWu4GjFfP8dMboRxULMKFBtZtUYuOBZDJYqCeplwgFRGOUIcDTbSFMwRUtgVB0ytmvw/bPruKj+BM1BoTwsOBY/OLmGaLDE9c2CPBzSKnh1bDbb987gHavfZk5Fn8ow+96WC0GHD69/iYSRpeBZvDY6ixM/mYV5/TCPzHxBFUvfe/kSqg5rXPqBbbQFhXBC/p2ia1H094CME+L3xxbR+k2T1740izsbd1Bl5DhdrMX7RS3jVRoND75GyROWCjvOttP2hMbB6ULabWkiJy9ywsIJikOo6Fp0BocIGWWMgkfJ/44kYhKIF8k1WQp5sjSHaivL4DqHaH2GuJFTAdDrWk/zyvtmcV1tl0Lneko1tL7jNPmypUZfFmWuajjIoUfGuDXWrZBnx9O589I3yFwUZFaoXxHyGwPj3PnAJoXcyfvgivrD2O87Rp01ofYy19P42IKXFdqedkSWVltwhE8se5GYnlfE4tFylJwToDGQUiTnVFlEbayLn1SO6WFNmsCWWBTpVjll1WZWCT1s0w/L9UfjsnGVo0hJgm6wUuzITMPyQ7KBSRWYX+hIvpUUK8hiAwRKKIsnQBUP8sySl665Cj2Xlgznx98EVcFle6biVaE5SsAyVdl2zq5WyJN87VNl/RLhHirHqDXTnMnVqDUoz02AN8ems6jynDof43qRATvOPx+/lDun7xKWAMYftxD6bxfrj4yM0N3dTWOjkNAuX74cy7LYtGmTekxfXx8HDhxQhdDatWtJpVLs2LFDPWb79u2kUin1mP+719axTrqKCVotAY8O21EOZpr58YlV7Mu1KqXAmVKS73Rv4O/fupJaM82yijMsDnVhaC4/3HEBj229jJwjVDQF16K7kODXv7yIb+2+0LfrF7LG3/Yt5cWvXsBvzyxWc1eA723bwJufX82rw7MV76bgmbz801UM/fM0Buw4rqcR1ou8PdFG+G/jPPvSCizNockS45bXTk9n9j8VeLF7tprBZ90gE3tqaH3OY6Ao1CX95TgAsTNQ0SNuqBqfH1X2dFwDSmUBv8uNozKZZWy2wbTwsL8Qy4R0m9ENJUYuESO/kmcS0Mqsrj3D2Qc9bpy3Vy08S3O456rXyHxugunhYVUsxI08Gx7eziX37qAlMCpQJc3h2voDLP+rXdw/a6si5eqax0fXbeI9H3+KeksQ6yTU+uiNv+Oz65/2YVThRDs/co6Hrn+GKxIHKHgB9Xnf3LKHB2e+JtA8czIf6e6m7SyM9KiAwLQToi04wvr4cWXMOFW1JQ9jKfcdLscwEA6urifckWWBIosg+Z0EdVtZK9i+akS8n6hCYaQhZI0hVBZdpaQytcu5QR+xTKvnkH8n6waVhDZqFJgRHCDlVNBrV1NvpRAZRWFF0gXUGKbJGqOvFPejPnS1+dqeyAySppLg29/7/lWni7WCSzfFE2SwVCn8iyxhMSFh7eP5enr9CIGkH6T43NB8zhSSanO1PYNhO8YPT61WZFqZAP/T06v49qkNDJcrkTlN8j3I1xzWRdjw3225hn/cdK0i69qewf50M89+cz0/ObFSramcG+Trz13Fi/9yAVLpA3CuWM2hryzi3zdv8O0TxLr6+bY1hP82zp7xFp8gK0bL5m8SpJ5ppMkSTvCj5Qi7e1poexaOpOoFEuXHgsROmlR0i/VX8Cwi/u/Wy+D5HAiJHpmNOTJtKMGDzBuTjVRYL4pCAY3VbWfo+oDDhpoTpJ0QWb+wrHnPWebcfoSCZzHqRAnrJR5YuIXaT5/isrojSiJdb6W47a5Xue7GrUSNgvDlci0uqD7B7R97gftmbFdFkO0ZfGTBa7z/jmeoNrMq5iemF/jsRU/x3llvqvfmejoLYz18euXzzKwYZE6wj4NZgSJemjzKjY17lUeZ7ZrYrsmV1QdossZEvJD/+hoD4yyJdCkRhNxjGq0xdSinymFVrAk3+ywD9iT9Qd6L8t9SRSk9s+R+DSgSr7SdiBmTHMPpgUHfZbsCmQ9macKiQd4rggcoZOfy+SXqInmU8mq2xvy4JJFJmDAy58V4yPtbIoySoyWjbKSLf84NcCjXpHLr5OfSVazh9bGZKnlAIjevjs3miYHFU3ieZQqeyTePXMhTg4soeKZ/FugczTXw9y9dx6bReViaw4Adp8bI8P2Ta/nVLy7maE4IoaqMHAYeX3/2Kn7808sZK0fUXrsz08mx/zGXb796qRoJ65rLr7qWMfrFdn50cLXKVSx4Ft958yJavuTx0uBsHHQq/Kbrj3X9l8uuTCbDiRMn1H+fPn2aPXv2kEgkSCQSfOlLX+KWW26hsbGRM2fO8LnPfY5kMslNN90EQDwe573vfS+f/OQnqampIZFI8Mgjj7Bw4UKlIps7dy5XXXUVDzzwAN/+9rcBeP/738911133v1SM/e+u7J838Lt3zmXJ9V0Cjg+O8tieS5n9rSIvfGEOV7QdodtOUHQteje3MP2VPLE1BTrMDIdKNUSNAlV7LIyiR8+iagzNZbAUY7QUIX7KpVgdUpycejNFyCjjGRrhgK1CRsN6iWRTiuFFSWaGxEEnDhUPd32Kc0uCGJog5A6VY3SER9j9cDMrG85gewZZN0iVkePW2Xt48++n8Z7mPWJub4dpCoxxx/WbOX1ZjXIIlam/1314szKGHHfCJM001yT3U3rk8HkoQ8QnXBuzXSXNFkVMjk+uekHISDWRwZMjwPTQII8sEYWsLHgyToiWwCjv6diqfreMqlgWzZxnsic3oZkVAvUT44KYIh6GtJI6BCUsPTVBXY4GJQQrDTAdT6fGyKhAXV3zmFkxyFC5UiECBp4ywZweEiT+/2iKKXlVw+XK80ikDjoDdlxtbklLeN40W6PszbVj6WXiRn4ybVo5/QojvVpzQkjG3bDiczie5XuXiOJi3ImIYsbTeCvTybSKIVLlsEArdJteu4qjmQZ0zWVZVJAWu21hnf/a2Ezaw6N0hEawfOj7dLGWF3tmsbHlGEZAdPPNwTG+fWw9APfO2EGtmWbcCdOVT/CjbRdy8ZoDLKs8i4XLgB3n25svxUzrvrGbUDfuSHVw4oezyV2Z5sF5r6l7+seb11O3XWPuRw6yMCocprsLCYb/sZMDa2fw0RueUt3j94+tpfFfArz2pZnc2LCHiF5k2I7h/a4Gx4LoRwVaVnRF0rzstB0EIjhRDhHqsTALqLgLAEt38DSIhop+YSLunUB7hlQhhqG5Cm2pNnP0XOkye2YvBi5ZTxRIG5Yc4Y3YdG6O9xE3cmo803T/KWqCk1lu9VaK22bv5sxna1gRP+NzdAIkjCzX3bOFoH9PyNHKmqrTLHr4nEqwlyrUD8zfQnRRgRojw9FCo/Dv8cm7gEIvwnqJKxMHWV91QoWrgrANuKXhbbHnqSgZMR69InlIrTPHX9/1VorGgHfe7whpNq3BEUadKONOWIQy+69fjmanFhk5x2J95CgvpBdyrlhNW3BEmWL22WHO2EmaguPKe81Bw/A5jC4ajdY4Jc/A8Dkq464o3qeqvCR3SRBtA2rEFDaKSsxRcC1OF+sUgVwWkMIbSazthJkhpNv0lBLnFdaWP2YbsCtZFO5mqBw7Dz18qTRPcRMlqvH8yHzaw6PMDglV48FsM2cLCQ6PNXBV4yHfRkK8hm+fWE+FVeb21l0AjJSjbJuYzkvbFzBz/jnubN6hHPR/cXo5+W1JLr1xF+0Vw7Rao+zLt/Kb34rg7Pvf+by6l7aOTqPvW9MZurbIx5e+qEaeP9+xmmm/cnnxCyFubNiDhfi8jvxiDpF+h9HP99ASGCXnBjmdryX53TCnF8e56O5jhLQSAaPM28OtTP9ViZ3V7VxQdZK4kWPCrWC0L07b/jL911YyL9xL1i9E9bKGbqPGvCJuKU2mWUNPlFT6QEizmVU9yPaNtcxpOu379AnE+eIlh3n14dksDQwrgc0f8/ovF0JvvfUWl1wyGUAqCcrvfve7+eY3v8n+/fv50Y9+xPj4OI2NjVxyySX88pe/JBab7Gr/6Z/+CdM0eec730k+n+eyyy7jhz/8IYYx+eZ/+tOf8vDDDyt12Q033PC/9S76z67TN1bQvGCQrBv0027LbFxwmNc+MYOb2o6QMLO0B4ZFV36bw/aNHYT0EtsKzUrGOv2OY5Rdg9pAWvAGrBw1VpbEI1lmh/tVN3CyWM9tDW/R86lTqhOW/3xs5kuMdgofHgnhAzw89xUAVfCENJu24AgfnfeKcgIdsOPEjALTQ4Ms6TjLuBNRs96Ca1FnTTC/pocBuwoLcaBWGTmmBQYZd8KMOlFSnlSDiY1VGm2FTVFATCVAS7fTkF5S0lUlf/0Ps2RAdazywBn3DdlCPilUqiUkTUv600i4N25kiRrShbfIqM+/Cmk2+3KttAVFAnvIsH0lRIaBclw9X62ZVvbw8jubCunKzXOsLKS98rsJaSUGynFfop5V94yBx7FCIxPlELPD/WpRZpwQu8bbmBkN0RwcF4ok3eXVibk8cXwhH5i/BUCpWX5wfA0Bs8x907ZTZYicr+0T03ht1zyuWrWXluCYKsL+6dWrwIVPbnyG08Va6qwJ8k6An/zT1UxszPLhhZsVsfXZLUup3w7lTxrMj5wjrJc4V6xm4J+ms2/VTD56w1OqK/31gaVM+7bHG1+Yxrvat6lD0nyuCt2BsQ+LzySmFziVrqH5FZfjc2tZGOuh6H++1qhOIK1N3hdamZhZxA5r6LqneHCW5pCcNspoNknCypIwM/SWqmkNjfL0jQ6tTUPKRNH2DC5oOcUbH53GB+oOEtJEwZswM8y4/yh1wbTy0JIKE3nfgSBYNgfHeectrxHUysoVN2FkWR8/zuKHutX92WSNMVSu5PaZb1M/T0jRhXmcLTyjNjyDrnlM+NwqS3NYEuth2dIuhHuueM7GwDhzG89xtpRUI6tqU3AJ26oFkVWOYwzN9WXvmip6JfFZxo9IgjSg+BPdbsKXbGc5WaynMzikfJkkd0/uF7ZnEPULXolGhn1kRo4x0356+bgyeRW/Y1pgkLdy00RB4hf5huZyqlSnHNNDuj3FUFQq57KK45QwMxwvNRD0R0S65lGlZzhcaCLoj7nk2HzYH0ElrYwizQ+XY5zKJ1ka7VLKzoheZE+2jd58nI01h8k4IaYFB9mba+PxvmW0xsZVxIahe+zJtvGHXUu5dcVbzKnoU2v1G3svwikYfHDVa4qHeTxbz3O/XkNgzSj3z9iqitBvH1xP5XMRzr4vwaWJIwCcytXy+g9WUqiBe299iemhHvbm23i6dwHW3yV467522paPUmtOMKNikG89dSVtzxfZ81ctvKN2D7ZucCzfQOBnCbIJHefDmtrzu7NVdP6+zLFQI06TzpLQWX44vIHRgUpaDjuMXhNmUTRPfzkunMJ1wEVxo3TNpS0yxtEOndqEGGnLvXDurHMcv7KdGyr7hfLXE/5FFdcMMJ4LUW9NKCHMkmgXbz3YyvLEgD9qDhDQyryjZS9vfHkG91T1IFMOwnqJh9a9xKmltSyNnlUjtoBe5IPXPa+alJwbJO0I1PHz7/qlalRzThDLSrMufpL1N59Q96983ctiXSxb06U4YSX3/+WF0MUXX4zn/edmR88///z/x98RCoV47LHHeOyxx/7TxyQSCX7yk5/8V1/e/3R97PJnMCNBNYawvQpmhAeZv+gctX4GTcSXjK6NHGdGcIBDhWZheuUISPOSmqOKIZ9xQuCJLCDpYdNnV9NojQlipK/ukuiCLDx67So17+3z7fmlqqbWnOBYoZG4kVdEyZBmM2CLEVdIt0mYGeEW6oaU34M8vKVxnhwBtAQET2jEzwAT8RUVRI0ihjZJQFQSdU94kUgUZ5JAXSk+RN+3R7oBS3QHUEZglu5QcA1SZeEvJDteEFyTtMofElLMiF7klbE5VFl5lkbPCum/bnM438Se0RY21h8WCpXgGCHd5vf9S8iUgtzZtlNB2+eK1fxm3zKWTOtS5odF1+JXXcsYPFnDpy97Svl5uJ7OL39/EcWWEn9xwe+FuZzn8fNTKwj8spq695/h4ppj1JsZThdr+d0vN1Ax7FHzkddoCYxiewZHsg1MfKWV313Tzmc2PknAH2f9evtKpv+yzI6/7uCqmgNCpu9ahJ6IU0xoME0UZiXNZFd/Cw2bNXoWVDE33KfMzKwxHaMgCo22wDC2Z5KyQ5QqNapieVVgWppD1YxRhuwaOn3ya9G1SFoZBm4rUFOV8YsVgeJdOecwr39yGu9v3XWeY/Pi+w5gu0KJIkcga5OnGfn8ILPDA8JIDZO4keUDN4mNTgoGBspxmkLj3PPA80r9oWvCnuK29rehHRJGlpJnYumiSfjCmqcpeJbP5cqhax4LIr2snXdSCRAkP+Li6qMKdYgZBYbLMWJmAQt8b5u84jKtipxkd66D0XKUpJUm7Yao8gNBU74Y4lihUfFMpspyHXTwBKKZdgLnFQry3pYjRYmeSlQkpNkYuicKOM0Pj2TS0VpK7quMHLXmBK9OzGVmxQCup6kmwvVNEnXNw3Z1wbvwlaRpt0K4/joVxM2cQhnlWFWuM9fTMDTRjJwpJElaGRWRYWkOY06Io7kGmoLjNAXGFLn7R4MXkCtbghzvj6XOFpP8+tQSruk4RL01ocZx3++6gN6ROPfO3+E3LWIf++pz1xNqT/PQ3FcVj+X7p9eR31THmjt3K6VQwbV4/PGL0By47p1vqoDUJ3uWYHw9ye4PtfC+aW+oz+v5J1eR3OeQ+sszuJ5Od6mGk7kkwa8l2LuugTW3nfKJvi5PHVnIrO8X2d7eQVvLqEJwQ/sqiPR5FFZYrI0c543sLEzdpfKsS39njOAsW30XoaCNZ6J8mgJamYbABKnZDnpNiRE7woRfDMyt7uela+tZ0iHUU9LxfdEFx9nb1sLFlecYd8JE9CIdoWFC9/fRHMr66LXgD15Vf5A3/7LA6ojI2Ou2a0hYWT64+jVYLZAVmDRIveOmVxW5OeOPUpdEukjeIUbqEb1IyUdqN9Ye4cbr9wCoteB4Ore37VL3dlDzGCrHSBhZ3t25jZieF47vvsAhrJe4vm6vGgVKGxQHjRnhAdW8SbNaS3OI+meJrrnEzZyyLpEmrElLNJ+GNukmLWM+pMos5wZ8zp9GYIq/1B/j+pPPGsu7AapwyXmiqEn69v9hvUirNcK4E+ZUsR4h247TW4yryIaElVVdQ8LMKKKg8qzQXELYGIaryHfyoJFGeGjiENQ9QeJ0PN3P4arwZdJFThfr/M1FcADkfLrgWsrQT7oO64j0cinHl7D2oVwTSyJdKirhjFPL6WItQ6UoDcEJklZGhZG+MjCL+fE+VkZP0+sT4PYXWnjm1HxumrGXORW9asP/8ZlVjKUivGfBVrHZlQXp+xeb19E4e5C72nYqxcgvzq6g8Gwdi+46wEVVx3A0sZC+9dSVmFmNe257iZglkKAzhSRn/2E2Wy/UWHHVaQWZ/2r3Cqb/yOX1vyhzZe1BpgcGeWZ8EcM/a0NzwH1EbKwhzeZsLkHnj2H3ne28s/4thsqVOGgMHk+SOKDRtb6G5uCYT5IPUTEIpRrhbAuiaKqLZuivqaEmmFW8oahRoLQwRy4VEGGgPiIwPTzEG+/uZE1rt0I1Gq1xNi47yOHOehbFxCYY1kvEjAKzHzhMpSVIwtI1945pb9P/qUoaAhNKpRTSbD5087MCETEyPqxucmniCJe+7wi2b0cvfT4+MGML7vTzyY+W5vDokueJ+GZ6ErFYHj3Dotnd6l6R5MkVlWeI+Bu5jI+ZVdHPgBlXyIuBR0QvgTlBzg2qIsh2TbVZSx5Eyqk4LwBYEsyl5H/UiZAwsgz7HlIhBB9HSvonLfil6stQBnsSqQTh5TNajtAZHORYQfAOZSwI+I7MfuiwXDfSNyrnc6tkweN6OrWWUO4VXYu2wLC/jkWMQF9JBJOmfUKxZTicKNRjewYtgVE/uT3IoF1JT76aJbFu9ZmENJsf9C6jtiLDrbVvETfzBLQyZ0tJfnl8GVd3HmJD5TH25tpIWml+eGo146kIn1j2okJX++wqHn9qPZVLRvjkzE2MOFFGy1G+e2Qd5tZKLr5zJwsi5yh4FsN2jE0/WEu21eNDvjS8zpzgH/ZupOEXIU59tIer64TKrKuU5Ni351IOQ+bBk2r091zvXJr+zuQ3Dy/hkSWbkAGaAzsaaN7hMPGlEGlLHHxnCjU0vuHRRwx7jgiADWk2E7kQ1T0OYyU5/hXhnnbUQy+LcXSzNcqzY4tZVNPLS2vqWVo1MoWcWya+apCehoRCehNmhjmRAXZ9oJWZyR5VoNqewU1z97Dvr5u5qvb4eeTgG+7YwlBJeE112zWC4B3Ictmn36DeV8zKxuyeGTtIPSjGzzI/LKTbfOmK33CyWO+bm4p7Z1G0hwVX9aoRnLhnDTbWHOaixHG1FqXbtgzVPpxvUqNDA49LE0dw0Bkqx8g4Id+gMUeDNc7RQpNKJJBqX1lgS3JzwbX8eIyQEiUE/Ya5NCXeRiq5QIw+++wqFX1xulhLZ3CItCsiZJQaD42QYSvukhSGyAZcosoOGjF/xCzXa8YNETJsXD/Edeprl+tb2oM4aBScEAsqunkrK9BJyydWe5yvDP3vvv7kC6GcEyDgQkgrEzQEEiFv0jOlJCLHKErBtTibS9AQmqAxkKLeSimOz1A5xmCpkubgGFVGTnFTDuebGLcrWB47e57d+osDc5kdH1DKsKKn01VM8MTxhdwwc78itIb1Ej/rXkV3dw3vWrmVNt/vos+u4kdvXEBFXY67Zr2lWPe7Uu0c+cUcKq4Z4D0dWwEouAb/tvsiap8Pkn0oyMVVR/z4hTBP/GgDZs7jwgd2Kgh/6/h0Sl9p5A9XtDLzmgEF43/77Q3M+JbDa38+g452QXYO6jbZLbXUnXQpzjeVYutgqZnatzR6K2ow2lwlw86VLCrGPcqu4S8ePxE87uBauh/hUFYFY/8qnbb5veIw9AS574oFB3nh3fO4O35OqMvsahZHujlxdy22K+IqpA/LyqozbP+SxnvjPT5ZtkzBDfHuizeT2RCkMSC+w5wXpD04zG0feIm4KVRYcpRwW+MuUu8/TFgvKt8ZgIcXv6L8eBJGhn35NuJGni8v+wND5Url0mxpDhdXHWFupE/NwsfKguezMSG4GRLJkQV10kori33JeWk1R+kvx1XuT1C3GStHVOEuvT4Ehyug/GeUYoRJX5j/OEqaHhhkb75NRKHIjckTG430e5pq4CYLj2E7xogePW9sarsm9ZZQ2AgHXjFCqTVFwX4w10zSOj/7q+CJQN2Q724u+QzSzFP62Egk63SxFhAmn2JcXKbPrmJ/qonLkkeEFN+JCiRDBkiikXIqBBJUjvObY2u5uPM4i6I9vhQ9yPdPrGV8OMoja5/3N26PE4UGfvzbyzAWpfjywj8wXBaGeP+y91Kim8Osf+9bLIico9rM0lWs4dlvrifdCY+84w9q9PCTfato/YXJ2KMVXJY8QskzOZZvYOJ7LQxW6Sz7cJdQF3k6vz+ziLa/9XjyUwuYt7iX9uAwWTdI6fUkjacczsxL0hYcJaYX2FtopWGbQ1eyivDsIv3luDCozFtERj3S5ZAfkRPA0FyKCSjHBaG26FoMlitZ0NTH/nUzuLZyUPFskmaaiWszmOYkOux6Olc0HeF3n1nELe2H0TWRpxjWS9x43Vb2r29S8nsDl47QCJlH93FNaFSN3sJ6iQfnvcapz9QyOyz83uS9875rXwQEynGqWE9TcJx6K8X8m8/5MQ6igRwqV3JH+1uEO0uq2O4pJYibOT634DnVUEgrhSWRLlZGT6miWBYnsyr6aQ6OKbNXeY81BsZVEaQjUBOZsyY82XTFjUo5Qhovk9nl+FJwHHW1hzuuQJYSRoaA5rAz00lraFTsc65Jq7+vnyzUMT006N+3k8RoOcaUzvnykuN9w7cWCetFxSWcKnKwNAfLLw5LftMkg4JPFupE3Ia/XwmVm8ZoOaK4Qjk3gK0LZMYyBEeyp5TA0FxlsxL2lV0nc7UsiXUjXeMNzeV4rp4zmRouTh5VHDLH03htaCaG7rKx9ojPB8oz5oT49tsbmNfex3V1+yjqNiPlKLvHWzm0dRrLNhzl0sQRBsqR/wen/f/z60++EPrx/tUkmx3u7twh/HbKUQ5km3hp82KWrTnOyqozjJSiVJp59vc3cvj1OWy4e5cae407Yf7tqaupPAlXfugNQiFhPDVsx3jp62spVWksuL9XcQF2jnfgfLmOp29oYfaVTytexRPHF9L5Dx7PfnYeHXOGEQnMFn27G2jfXKZ/USVzQ70UPIveQhU1uwxSM2OE55SU2VXZ1QmNuhRKlkKNwnqJikiJbEOFim1wEPPo9LwSeIKUXGMIkva8aB9v3jONRe2nkbb7Yb3INfMO8sZnOrmjWSQXo4lO5/JbdzBYiNEcEGqHUSfC3EgflR/LU2MJXkCqHKLGyHD/zK1kPhVSHJyILtynP3rhC1N4EoKDMT98jsbrnldqIamyWBrtYunqLkI+iiJnyLc0vI2huZQ8UxULCSPLxprDAPTa1f7IokzILNMYGKdSz6t076wbpMl/DxKijk6RXEvUZbgcI+kf6hG9yNlSkrRTQUtgFMfTOVFoUPb3RdealJwCKUeoJmJmQblYx3SRmSaNFmUorByZppww9VaK/nJcFQ9Fn7MlcsPySoYr+VpJc0J9BnKjlEWB3BgVMR2HI8VGteFKFCjnCIJ+3Mj5hWWIXDnI3lQzK6rE57+gopvduQ62j3YAcEXdIWKGGI8eyTfyuyOLuWbWQdZXHmNnZhoLw9081z2Xsd4471r7hrKWOJWv5cU/rITFE3xs/svqs/vx4VVEX4ow891i88s4IYqaxTPfWk8hqfHgXSL13sXl54dW0PI9k99+poK7moVkXL5P6WouPbNe7J1N51ddXvrEbBYs7gWfAG9vTdByzKFveZWPtJY5mauldneZ7oYIZ0pJkuaEIMkXTIwiFF1THURxM0emFezqshoZhPUS89v6OHRJB/Mq0mpU2RwcY+KWNAHTUZwg2zO4oWM/v/viIt7ZsQ8Q3bWByyXv3Mm4LcQc0uV4ReUZnM9r3Fp5VnHfqowcn1j+IsWl1qQNhCfiVj7wzmdUNpQcb1+RPMQl1x5T+5P8+ccWvKwO45C/BpNmhkfmbMLQvPMO/rkVvWqE6qBjIT73RdEe1RTmnKBC2WaH+1Wx4aBhu5ZSoUnLBMPn7cgiSHrnyEJH8iMF6VlIxc8Wk4SNoiqCLM3xyc0OddaEUmbKokr5pHmCqC3VSwLJE/uQzAsUnm8lukpJ4X+l+JK6GikHsdV7knJriZoUPFOMjK1x6gKTsTxpJ8ShfLPKPpMS/TOFJHEzT0tg9LzG4GC2mabgOEkzLYw58ThVqOXwRANX1x1UaGHOCfKLs8tpiY2zNnGKJmuM0XKUranpvLpnLhuXHmRJrItZoX4MzeXfTlzM+MEabrviDcWNGytH+O4zG/EMjw9f9YL6fk/k6tn+jWUMb7B5dM2z6jl/c3YxlV+v5OjH63hP+5s+Smzy9Israd1UYv+Xs6yLCyHVYKmS1PdbKFbrFN5/0v/eNHZPtDL9+x7HL+8gd+NRH400OZeO0/Fknrfa2rg+uReYdIH/Y1x/8oVQ8+Mm6YXV8D4UnHdgtJGWlx0OdDSyPN5Fe8UwtWaaQn45dQMug0UBQcurnChTSFmEDVG5W5pD0kozusxFi5dIORUiDV73WFLZw3dun87CuWeUOd5QOcbVMw7x2hdmsLHlhIIqw0aRqze+xfhFFaytPKk6ghnhQaoe3Oab3xXVc15Xu48Tnxog4XtXSDn/h+Zsxp2tqwUu4hFGeWTd89SaE4w7EYbKldRb47ho/Nmqp4QVv69qSrshlkbPsnHeQeVijS6ec164l5kVBgE/tFBmWUkfI3lgyw1M+moIlU2F74YrDNukv5JUYMl/y/d3XmaYLyWVsnRDF4TQuJGlr1RH0TWpC0woZCTnBElaaQx/Y60zJ9idaxejTR+FKnkmIa2Erlk4/igmohf9TbHMiBP1TRFF9yXIijlF5BQqk7IqzuRmKV3Iw6Z4P7YrNvXBUiUZI0RbYEQhXmNOhD2pFq5OHlDk2V67itdHZhIybNZVn1TGe13FGr627zI2dJwiFisopOixE5cy3F3FQxteJG6IRPC0E+K3v9mAuzDNZxY9T8E3EXzsyMWEnogz831HuCxxWH1Wj3/7MspheP99TxM3BPT/00MrafmeyaZHw1zTeEB4DBkFBn/SjlnwSH36DC2BUY4WGjmdrWHG18o89ZFFzFw5yJyKPkadKPm3a2jbVWZkeZTpsQEGynHS5RBVx1z6k1ECC8p+kW3iuUJtErfE2EgmbKenQblKOLw3WmPYmMxr6ufA1Z28o7pHFcmpclhxZlxPJ+MG6AwOcUnTcZ77wlzu6NgLTIYtX3jL20zYwjIh44RwNJ3V8VMk/jzLFWZeHaCW5nDfsq2EVxaVj1RQt9E9lw/c+LwqMmzPBA8uTx7mymsOqoNEmKfmeWjuqz5Hzc/0Qqc5MMaHZwnie8kfExh4Ko3cQXid9dnVzA2dw4gL5V69laLKX2chzSZpTvjZYSJ6JaYVzhMkTDWKVKNATVeoZ08pIRABL4DlSZSh7I8uzjetlAUJmvi9rqYrJCnrr5VRhAeXDee52WeckG+Mqis7DflckrQuC4kQZVVMSeqALILkJfcb+Vptz2DQN4hV3EfNpbdU7auER5Rnjo3Gm6nptITGmVXRr3yrhstRnj83lyubD1NtZpWPz096VpMtBbixdR9NgTHSjvCI++lbq5nV2S94jL6i7on+RfS83sqaq/ZzSdVhUo4IJv3u5osJjBjcfuNr6jWeytey+d9WM7LM5dOXPqXe2y+PL6PuexVs/WCaD8x8XSmqnv3dGup225z5y35fnOOwJ9tG+N+qOLguydobT5F2KkTWZV8rs76fZ8unprFmwUk10hs7mqB5i0PfRXGmhwYJ+OrGikENJyAQIiFE8dHZqIZmuMhk+ZwbYG3DWV5buJyl8WFkir3tGbQtP8fpcCMXVYyq/bwuMEHp9jFiwZJao7ZnsrSym6c/F+f+pgPomsuRfCNzKvq4tX03W/9mGvdVnxUIuu7wx7z+5AuhyMd7WVSXVSZnQd3misYjdP1ZgqsjAyyu6OJQoZnRcpSHlr5CamGYzuCg2mAMPD689mUS68VhIX1twnqJT1/ylJp5yk0xbBT57EVPEfA5RwVPKH1qI2k6ZgyrTl36nsysGCQRyyg5rlzMzcExv3ATB6ssnpJWWqEJcVN0mnKzkb87rJcYcSaNIOVmk5uSvizHOrrmYvsb3YTfUcniI+dvojEjLySvPgIhZtoZ5QYtDwq5gQCKcOp6Gr12Fa3WKK6pnZd9JA8MOaOWSp6UE6aoWTRZY5R8Yp0cWVlaWR0KQ+XKSaNLvUylLpQWJ3L1HKCF2eF+VWwN2zGe7p3Pylrhht1kjTNgx9k8Nottpzu5d8F2klZaFJPlAP+0/zLsvMXDK18irJXIukH2ZVp447dLsdaO8vHZL+JqGuNOmG+/vYHqN4NseP9OZlYMqKiBl76+lnQnfOSmZ1R3/YN9a2n7scEfPmfyjro9AAw6lfR/vxMnCGsennSF3TrcSefXPF59eCZLlnaL8FUjQ2ZHkpYDDqNrpdRejCErT7kMNoTV6Nf1NGzbIGhCIiBGuieK9TQFxsi0ezgNosju8U1FV7R1sf262Vxb3etHp4iQWvcdoxQ9jYSZJWbkOV2sZWFlL0//RTV3NO1TsRKW5nDTO7YwcFUl0yqGAEE4XlF5hrbPjSrxgfRxemjRq+QWCAm0JPHG9AIPXvusGguI+8TjwprjXH71IZURJsjG2iSa5aMjWTdIW3CED83ajHTylSjIrHC/ioSR96iBS1tQ8u00fzSmqbGBVHtJIqk8mAfsuCrqC55F2L9/BYk5q+7pkFYm5VQoWwXJ3XBcXY2eJp28TVW4hH0FZEi3hQM1uhqxCk5WhJgfeTJoC7NLqdCyKKviS9xLk5wMIcEX37t0nJehsvK+k8axcr2l3RDDdkyMdXRRALqezplCUqG7ggYgUKdXR2axoeY480Ln2JGdjoPO9lQnZyZqeHfbVgzNZdwNM1iq5PHDy1je3sXSym6CPi/lqf6FHD/UzG3rtyt3/lEnwvdevAQ37PLIhc+qMfGrI7Po/VEn5i0i9kYS1v/1xauofUvjwo8Lg0opZDn+r/PY1anzwN3P0GCmBNJxcgnNX9F5/NNL+dh8EUUxXI4x+lQzwXEP61NlekoJ6qwJuvLVdP7C49QVrVjXHlDcprND1TTtsOnZUIUdF41QwQlhpnXhiC3J7ppNhWGTr9PQqkrnWRfMqh3iyJrprKjtF+Mlv1msXt/P2enV3BAcV2P3+dFz7Hh/G6vrzykFbkwvcE3HId74y2nc37KXiJ+fmDCy3LtxMz3rq1kU7fGjn4o0B8a44V5hHNsWGCbl50DOrBhg9od/D4jCs69UxdyKc1wZPcjgjVE2Vh9ioBxXFhS3Ne3CaZKxLRUkDMGtvWea4I82WWOcKDT4Ibsl7m9/QzRkrqAvFDyLpJlWozWB7v7/eNbY/9uuexq20R9sUAZjuu/Xsy5+AkNz2V9oIW7k6SrWMCMkZIQD5TgGnoje8P8s3TRlyGiOgHKsjRtldRAYeIqrIP/b9TRfRu6pyAA8gyKTcnPpPaJmvv4sWKJKaadCzY+n/kx2oIYmRmUgIgdkUCsaKvpBboIC8Sip8ZVUqKU0gepkVWFTYm+2jQrDVtb60gb99fFZdIaHkeGHtmeyJ9NGd7aK9cmTwlDOJ8r+/NQKKgI297ZtJ26I7v9ooYE/vLqK6Ut6uLrhgHodXz9yMd7OOJfdslPFkgR1m+/85BrKUY8P3fgsCSOjRklBH5XSNZcJf1y06fll1BzwqHxUOG0nzAxbU9MJfbWaZy+tZ+ZNT/mchiLbTncy7esuL31pNve3vyF4XloF4c1RjJIHKyfjFfKORdUJh+FlYlOTGUEATkBTZosGrkAt5oDXWDjPun9peze7bprGnZW96rtOmhnKt4xSHc4r4qqlOby7dSvf+tKF3Nl0lNbACAfyLWTNIO+85TVyNwZImFmVidUUcOGRN6kLTCjFVUQv8uD8zeTmijFAr10txjSuxXuuepmwUaTWnFD304XVx1h1+WnmBPsYcaK8MTGTRZFu3jN9myoIeu1qlobPcqpUy10dO5kWGOREsYG0E6I9OExbcITm4BgNZopuO8GwHaMlMEpzYIyMb0ApSLARDDxVyIEwg2sLjqhDWKybELZrqrgbmSguL0myniRpB1SxILMop0bXyO9B/n9d86g1JxgqV6pmY+ol13XCTAkExvXJ137RIZFZaSsgLA6ypJwIOW+SyC4LIPk56v5rl9YTw6UYjqfTGRxk2H8tNgan87WEdJvpwQFGHYFSD9qVbBmezhV1h5XxqOtpvDA8j1Spgusb9yn0SI5Aw3oRXCh4JqOlCD/fvwI3a3HrKuFoXmum2Z1r57e/3oC+LMUj8zYp89LvHryA+LMRhj+4n4uqjpByTEbLEV77wSqKcZh+9x+Ud9jjZ5cR//so3/9ILY8ufF65B+96cgE1B8v0/VWVcvA+NNFI2/cMdtw8k1UXnVGKvmPHm5j2+zInlyRpC46IcORSiMoTOnaljr3BIKbn1X1gFsQeG9DKZL0gFg56bYF0e9hH2TSqzSznStUMroZw+7g/KhbrcmP7Uf7wwFIubTms7rm4kaPz5pOkSiGmBYY4XGjC9gxWVp5l/IthbqvsRUbN1FspHln8Itv/bBrLKs+qAjpsFLnzms3nhTz3lqqZFerj/nueU/umaOQcLk4e5eJbj2LgKdJ2TC9wf/ubpFrCyspAroH3zNyqOIZFR5wls0L9rJp2il67WrnBC1uKLO3x4fOKaeHDNKFy0RTnCZ2QVlSk6ISZ5XSxjoJrsabqNK4/LjRMlyp9Um0sG5S0G1JcqrBeokrPMWJHlDmrHLsGdRvLc1QTM5UDCX/c9Pk/+UJowKkUXY9mk/ZCRP0Mn0lEQsxrqy1BZpTundJoTLreCshWU6OeoXKMVDmsNkSZRC4f01eq8m3/NYKax7AdVQGJIf/wHC5HlRTVdk1s3VBz850TnUTMIsuiZ1U3MWBX8kr/TK5uOqTIf3gurw3P4vhALffO3eErCSrIOCG+v2cduunygUWviwWj6eyc6GTbHxYRWjfM/dO3knYqCOtFfnZiBeEnKpn2wFGuqdknYG0vxPOPryE46nHDg6+xoKKHbjvBltHpjP9lGy/fPZu/WPsHThfrSFppXtq2kBm/yLPvqwXeUbtHJWGbv01QNCD1sTCN1hgpJ8LJTC3tz9gcq2zkuob9gDgYsqMVNJ10yTsB1b3bnoFngmvKxRJASZg1V/kDZXyJfmL5IP1tcaKG4CilnQpmhgfZ8eE2VjcdVxEpYb3INbMPcPTL9dzccADHE5lECSPLFe97k6JrKsJ8TM+zrLKLxGdzzKnow1UJ0y4fWf4qwZU2DWaKU6VawnqJOmuCv3vHT+m1qxl1xOszdJdLao5y9UUHGHUiSplnaWUenPmaumdzblDl2N3R/haW5jBYrlTqqDprAivgqLgKeRg3BlLUmiJgWKKDwqdJ8oAq1H0vCPs6Q+VKZXAo+Q7Hiw3YnsHccJ8Yz2pFZcMAqPcY0mxOFIW54+xQHyeK9X5ieUlZLCTMrHAo90fNIX+Dl39f5oG5nk61JR4ro0EkipY006rzLroWw06MuJmj2syqAkTyanQfCRkrR9RrEWMdIUs/V6yiIZii1kyzJNjNYwOXUWHY1AbShA0xCtP9fLstw9NZnzxJ0kpT8ITNwZO9Syg5Bne17VTo6FTeiii2BBH+W/s3UB4N8aGLXiRmiJHxrnQ72362FC4e4+NzXvKFAgG+t30DtW+YrPnIW8ysGFSOwq9+bS1j8+G+a16mKTBGyTP50cHVdDwGL//NbD7U8goFt4mcG+TsT2YIXtMjhynpAl2Kmzma/egVWQDankF4XwWxLpfw2pIacQBEej1GZgi02PGEwsmyHMoVYOqTGVNJK83EdBc3XiZmFPyRXZmltT1sumURt0zfc9732HnFaU4vT6Dj+VJvk1XVZ3jtcxbXxQfUaLzKyHHf2i0cXNDIuuqTCtWeHhzgigfeJKTbNFlj9JRqKLgWtzfs5PSjZwCZHSnMQR9Y+AbhxSW1J7ueKIY+d+XvlTmsUoOGhnhg9WYl8R62Y7SGR7m8VsTpSOWh3Deuqd1PWC8S0QUtoqtUQ6M1zqzIANMDgxwvNijEvTkwpooaXBQJW6J3ki8o15aU2U8qs8QeI4sgOZafmn0nzyzZGMtiQq4P4c1mKW5krSXicWQTJwuTqZdsmhNmxs8TlPlgRXpKCWVgC0IhnXNFYyZHm/LzOleqxsClLpBWtjLApDrNf+05J8iwGyPmR/EU/v+I0P/Z60SunraQ6B6k0+iwHeNIup45sQHqrQkla9yfa2H/WBNX1B8m6rs8h/USzw7MZzRXwX3TthPTRQaXi8b3dqynMpnlnhk7VDe6N93KjicWElo7zIdnbFYOo48fX0rk6RiN953m0uQRxVsIaWWFIEgPoFdTczn+lXkMrDRovkEQ5wD+cHohzV/W+MmjK7li2hGWRc9SwuTYmx20P1vg2N/XUVclDLZ0PGpeDeKawCLfgt2DlB2i5nCZnjlRqmb54XhOBE3zcA0wNVfA7n4Rku0ok68Xkv9euxrX05lX2c/PbprG4mlnGC5X0hIQypElS09yuKmBVVHh2FzwhOlay/0n0DXPz9UyiRl51iZOceSvc6yvGCVuZHF9z4ovb/gdx1Y2kPQzemxPOHa//45nFKFaykNtbZL/ACgF3Lvbt1FomyRiokG9leKj814hpJVEZ+0v4tWxUyyLnqW3VO37ZeiEDGFqKa+ia5HxhEmYEfLzfnwlheweR50I3XaCmF5Q3ZYqBvxDMOUXABGjqNA1iVaMlqO0BEYUAqEjxgfSX0l6SsnNS3ZfcnNJGBn67OrzVDWGViZm5H2Se1Qddk1mShVAshCXPiEyzDJhZogZBY4VGqg2s76CLaM8mSSxHCDqb6K66goFv6naEgqVoXKM7oIgra+MnuZAvkV1+t86fiGXNh+jJTCGrrkiPsQfwUrDQtszOZxr5NndC3nH8t1MDw2RcwM0BFJ89o1b0CdM7rz4DfGdeS7HC/W88uNVZFfl+PLyPyhU97Htl1L/ssnCh/cTixXYV2wmZhXY/g8rGJ2n8ZGbn1GfyU8OrmLav7o8/cX53NuxA0OzybghMj9vQnNg7JNCUSS5NFI9Jw1Bg7qNtS9CVa9Hbn1Qob3ZchAr6zHSH2NohvByyTghApVFSpUWFYbolNOukFQPL/cwG0WWV5WR43ixngs6T/Hqu+Zyc2yAkXJUfJZaicrbevE84dYb8FG+kGYzWK4k7YSUr09YL3HRO3eRdyziRl6hyisip0l8QhxmaSdESLeJGXk+NGczxVmWMgqVPkUfvHyT2lNlPtcVVQdZtLEHQHlkAbyzYSfpOmGuOmgLf7I6a4K7m7fh+mqttBtCRxTp7clhAHpL1Vh6maAn+F9C0i9oCyHdPs8ot+BZijzdGRykp1SD7Uz6pcl1I/8Mk1LwsFFkrBxhQUU3g3YlZ0tJ1UCk/LgLKVBRQdY+d1BEfAgu4aFCM0HdJqyVVHEs6QrKTgBBBpeZgrZnKPWa47toB300JeOI/WWycBCoifTyETyqskJER50IKd/bZ3KELF7HsXwtc8N95xl5nizUcS5fxbLKLuXvNu6EeX5gHjWhLBcnjirUqatUo3hO0qTSdYURZ0tglLBeZH+ulemhQUbLUb5/YC3uSJB7L9xCnTVBSBfy/Z++cCF6GTZu3M0FlcdJOyG2TMzk+DfnMnixzUOrX6ZCz//fP+T/D1x/8oXQ3n9YzAtXhPjQpS+CKxbCrw4vo/0bOk9+spaHZwtnZ8fTeeb5lbQ/W+CNL09nQ81xRewb/VUL0V6Hvr+MMz98jqSV5lCuibY/6IzOqcaaKdCJmFHg8Gg9dbtKnJkZw54uFlxIs9E0D6PkETZLVBk5epwEjmsRD+QZ9ivuVkskdMfMAt1XQVXj2BTPDJPL2o7xxMOLuGXGbpZEuhh3hFfHxst3c2hFA8squ6gysqSdCjKay+oPvU3RNdX7cNC5pOYoXX8uRhhni0kWVHTTbdfwrpnbsT7hTFHiiPygRy98Ws2xpYKpMTDOxy+W0K6hqvxLao5xRfKQerwkiF5bu58qI8fZUpIcwvY/rJe4qOqo4Leg01NK+GqtsoLTpfx+1IkqTxFpHOagEfdN8+RhLmffMrqgyshyON+sOF8ARSxFRpbj0qLv1yQhWklIlYZicswgC2PJf5LdmfQGkd9VzhGHxtSRGIgE9gE7zqliHQk/dFRC5tKTRv7OlBPB9XSGnRjVZla58QZ1QSLuK8VpDKSUYVnaraC7kKBPjzM9NETcyJEwM+zKdvLyuVm8o22f8p46Vazjub55uJ7GnW07Sfub7ZF8I09sW876ZYdZVlnEch2CWplvH9qAcyLKfde+LCINPIsj+UZe/eEqMmtzfHzJS/79UeBrW66g8WWDloeOc12yl7Rbwal8LTv+aTmZFp26e9K0BYVvzFcOXUnLX8Arfz2Tf5j7OL8aWU2VlSPhhzdKbxI0eGuwlek/c3gxOZvps4cI6yVOFeuoOBkg1uVRvFAQ4dNeBSm7gtCoR9bPGesrVTEr1E8gWiLbGMDSZUyESWMgxcBaj2CjKFTESDfP+mknefW+udzauH9KFp5L5V3nsHRHqEp94nnMKEyJaREjcAOXd7xzCxPlChoD42o9rI6fpu3Do8r4UHbsn170Aqn5YYUyBXUbF4+PXf6s4hOO+KjaxupDXHnJAfrLgqfUV6zG8WI80vk8e3PtgDB0lAejGEFOoGsuGd9cVddcGkOTY7VKvUBMz1NVkWPCDZFzgwyVK1XEhXytBdfC0gSPKOGT7Ec84Qhue6ZSaRZdS/nO6JrHqBOlysgxYMdpCwiybcYJkWGSqxjWS6SciKIkqAgNb9J1XjYOMrpGqvckqigJ9xLlmKqstH0kSpLIx52I+r0SwTlebKA5MKbQVokaOZ6hnNbl/nGiUO+jiDZD5UoOZJuYVjFMGIFE24hx79lcgrnRfsWRsT2Dn55bTdAoc0P9XkVVGLZjfHf3BayZcZoLqk+oKKFf9a7gxL4Wrt2wixXR0ziuaKq+/cqleBGHD656Tb3XI5lG3v7RIrIXZvjoolfUZ/mtPRfS+LsAPQ9XcV3dPv+zruDJ366j6phL5SMFFkW60XHpLiTIfrOZvjaDFfefVcVsnTWh9siE7+4vRSoFz6LBSJF3hDdeTg9iHQ0T7fYorPdVzk4FOSdA/ATk6zSWRLuEPYZuY+kOdhT0oEAQc/+LMfV/5/UnXwhlmg206hIhrUytOUHWDdJeN0rXFS2srDt9nlJkxtqzHE42c3f8HO2BYYbKlWScEM13nabkGEwPDdJri2DKtuAoXZ86zZrYkEoatj2TO9rf4tzfVnN9IOU7xgr48oE5b5B5VPg4DPnuuDJw0/YMDmebVHfWGRzi0Quf9jkoRbVZdoSG+fTK59XBLJLqK7ixehdXVAV5dWKOLwkVCNjciFCiVBlZjhUalSKiMTCOgUtTYIyjU6TVwKQc1jfimiSbGsjcNHlNkk5FZxQz8krSKnORJLl1fEqRIk3SZGdi4fhdhseAXQVMIh+y00k70iFa8119XXVwSS8cSYyW6jnxmgqkXaE2E8T2oJLZSvXPaDmiYF1Z5PTZVT4yklVqOQeNnROd1AbSNAZS6rs5Wahj+1AHtzTvVr+34Fn8+MxqXE8TCJVnobseJ/J1PLdtMbet305LYAwQEvrHdl6CPm7xrks3i0MWi1O5Bt744XJyF2b47OLnROftVPCNnRfT+JzFkkf2sCjSrQq2XV9bykSHTsc9z6D73idPnZpP8z+YPP7oUm6f9rbKXEo/2Uik32H4izFlFfHWUBudvy2zo7adJfN6/NFWBud4lMQhj/ANIt9NFmtW1sPJm/5nLUjr4WSOdFuchtCEGhFVmgUG13gEG9KTiea6y6rGLl752GyuqTvJ8WIDDcGU8m2RKfaSpHxD6372fbmZNdFBVRgA3HjrFnJuQBGec26AtfGTdHxyhLAhzCWlVP7hha9QnD8Ziun6WUcPX/a8uofE7wiyovIMF118VMW81AUmsDSHT3S8wO5cx5QYGVvdpxJRE1E0lkCogqixh7w6QiJPKeXH5FSbWfWZAsoHStdcIr5/S9QvtmTYr0xxP12so9rMCqGAXaXGkHFTBGIWPR1rircUoO7dBkv4y7yd72Bvvu28caTk0AC+/5A4zET2mFhLcuQrP3e5L8lGRb4n2xXPW3At6q2UGucCSjhiuxaGLqTp/eU4XcUasU9pLoYnOJB7s624ns6iaDeWV1aCiScGFjMjNkRHaESRpU8W6vj9kcXcM3+HKkQdNL5z5AJcV+fu2TtpCYwwVo5wJN/Is8+tpHFlH/e2blPjpm8fXI+xL8rGm4RxJUBfqYrv//s15Bs8Hr72GYVEPd2/EPsfG3j13UUeXvgKjifOlF+/sobWTQ7mF11Wx09TqefZl2sl9+1mhmt1xj54gmo/IWDz8AxmfNth67tmcsXFB+ktiXv32NkGpj9R4tTSJIsj3Wr6EDtlUIobFFZYiqupax6G7YGfNi+b1JrqDKnOWqYFcgr1MfBwF6YZqI5QG0hT5WeKdYRGeOq2PPFoHgeNqN8sghhtp50QXaUk1WZWFXYyuHxGeEAhaLfc9DrjdpjpoUFlENkWHOW6D28mqJVVdEvGC7Eweo7FH+lWVgUO/3l6xX/H9SdfCN19/wvEYgLOl+GbtzS+Tfi2rfSUalTYZ8YJcXfTdtL1ogjotUV6dsQqck3tfjV7lZtVWC+qWAcBY2fUYSyNF+WB31uqJmwUFUlw0G7C9t1zHTSqjBymLjkfAVUESNWMNL+Slxx/6JpLozXOgUKrKpTE66lQf9/1NAbsKpI+omKYGSU5T/uHTNG1sHwYNk3I9xSZUKiErnsKnZkqqwWBdlm6IIv3+UWMjIh4dngB72ncwlvZaYR0P48IFwsBSfeVqgRXRBfKuhojw1knyQuDc7mq/iAJI0PKEW7FW8enk7GDXFO3X4yKioIH85vTi1lQ288F1SfUPP23fUs5erKJu1duoy04QkAr01Oq4fubLsGrL/LgktdoCYxwuljHk0OLGPplG7Fb+ritZZf6zH/0zCVUnoTLPrxVyE39DKTjfzmPVy4x+PBVL1DwLGqMDL/atYJZ3y3x9N8s4N7mbSKtuhzG/nk9rgn6I5PE3W197XT8ocwr02Zyb8cO5eFScTJIeMDDukxIWEdLEeFhU/TwXE0RV+vNFJXVOVLTqjGnkIYtzaH/EoeKRGbSzh+DyzuO8sQHFnNL2z7FgUiYGabffoyMHWRF5BRHC03k3AA3t+xh2190cllljypag7rNe69/kdTVFUwLiJFnxL/HF7z/AMmASM+2XZOYUeCj817BnaupokK65n780ueASYL/QCnOnGgfl649rHhCMuW+LTjij1ENZCr3jOAAwSpbKSgzruR3DCpX8pCPlklLf+EoLhDDUSeq+EaAyu+TBULaCyl+g6NNesc0mCkRTeOjPAfyrSTNtCK+WnoZC1/A4JlYfiGha5NO4FVGTknlJyXtrogj0IuKJCw5Rrbncz/gvLwuOWKxPZNcWYzbWq0RDhWbGbQr1eMkOjNgi7G1dPMO6yVaAqPUGBmqdIH8RLQSMb1An13FUCnmZ8QJdGy4LIrk08VaXjg3h2tbDpK00qoA+dWZ5Ri6y30dW0mVJ7PMBNFbXJIC8M1jF1LYleCad2xjdrifgivQpZ/86jLyHSW+cMFTAhlwHf7t+EVEfliF+aF+7mzZia55DNsxXvnVSkLDHuPvq+CKxAGybpA3xqdT/HIjz1zTxkeuek6911/vWsGs7xTY+pVOrm/Yp15L6PlKNAeCc20G7CqiRoH+QitNr5c5U5/EaZ1EIkpjIWr6PTUKBuEaXq4A1xSSf4lktUXG2Lq0lbZkvxpnBbQyM5d0c8xq4erYOSzfWbw5OMbEnRMko1mlQjRwWZHoYsuXLG5NCl6o4Tv2P7TqZd6e08acaL9qSJsDY9z4ntfIOQFFsLc9g+WxM7Q/NLl+Mr5T/l0dO7Hud/xCUYxNC67FJxa+RM2SDAuDfXzm7I0sjPfSGRziIwteU0jZVPVhSCuTtNLUmRO8OD6fpuC4iIDxJm1QZPJCY2BcBVPLnzloyjh42B9jSnX21KKq6P5xS5M/+UIoqhewvahvfjaZRj1QjlP0RyjSaGuoHCOk2ZPwqi89tDRHRWbouPTZ1QR1DYvJYM+CJ/wt+uwq1SXZnqGKoJAmuC0l/zl1zaXomFTpOc7YtaTtEFZYBIgWXEsFSKa9EHFTLhZPba5SZghTOzZPSeldTaevVOWb5uXRNUHUzrlB9mVbqQ9M0BgYV9LelFPBk+cWcUXjYeJGXhVTb45N49hILffP3Krk8V2lGn68ew0zWwe4peltLEQxuGOsg+MvTWPxlUe4uXYX8yv7OFWs599fvZCKfp133bVJ5Qydytey5V9WM7TS5ZOXCf5PfznOtw6sp/V/WPz+Mxb3tm5T0Qj7H59HpM+l77PdtAeHmRHq5/dDy6j/xxDbb57NtdfsUwjT0SPNtD/tMbokIvhf/qy++qBGJlVBeNnk+Mx2DcwcaJqnMqUszaHcVCRdDqrkbUt3SFoZuq7SaZk1QEtgRBGA1849ybYPd/LuGiF9N3wyct17zgi7eU9TqNk903ay569amB/tw0FTKo4P3fk0PaVqPw9KqD2WxLqY9bF+Qn73JFGL9818E2tWWanD5Kjg0fXPKI8dmPSBmrOq7zwU0fXEiFTeP1JpFdSFj5EcNeia698fOV/iXqlGfRknxJyI8DSRnX7BE1Lb9uDweZL2oG4rZEeui3orRVephnFd5DLJorjemhBuyfokWiA/J5g85OX7k9277Zmc9bvUqSaXgIoH6AgMsyMzjbiZV0IGfNRzUi7uqNcY9hWd0iFe1zxhVOqGsD2TuJljfvAcz04souzqNAfHcTxTuNjrNudK1TRa42ydmM7s8IDic20bn8bs6ACN1rgaX53NJ9l8bhr3ztjBVEO/b528kGLZ4IGZb1JjZui1qzmYaWLz5oUsXXeMSxNHFP9Rfo8pJyzCXU3BcQnqIUVOj+hFFgRGePjMTRzcPIM/u+1X9NlVbBmaTrYUoCmaoqligmkVYvyYdkL8+tgS2r+m8dvPLObTc1/gVKkO2zMovZQk3O8y/FlBcrU9A4l9yc8g5wbIOCHGB2O07i1z9vIEzUGx74yUoph5wNWE0aIr0KaaSI7B1hpmhrKKJB82ihSW5CgAw4UIOVeMJGdHB9h+x3RmT+/2x+GiCbh6yX42f2Y699cd9j+TCqJGgZnvPgqgFK2W5nBB1Un2/UWRyyuGFRdHR+e+tVvIrQ4wK9Tvj8nEnvHuOzYpVWzODZJxLS6tPszKu09PQbpMUnaYu5q2U2jcrcQ3slD81NwXJkdvnkDiw3qJ+9re9FXEQVoCowpJX191XDUXRdeiiKX8yVzf5Vo+r3Rvn+oWL4sMiboPl6PUWRO4nuY/n0l1QJxbMidPCndSTlj4w7maMqas1PM0Bccp+lYK9VaKs8UkRc+kMzhEyTNJySBgI++HxhbpKtWAL3qJGgX/7BX7gswP1DWXQXfSYfuPcf3JF0J5N0jIV2tNJcxJ+HfqaExWv02W8GsI+mTBs6UkY3ZEfXHS9VN+iaIDyKvR0fF8HTVWVh0OIFj4m4dnCBWKj86IsVWOk+k6gkbZt6qPMFqO8uOjq6iK5rinfYfqbLuKCZ7ZtJL2lT1c6yutIkaR7526APv5JKvv3c3SaJeC3H/2xEWEhjWuf8/rdAaHiBl5tk5M59BXFvHScp2P3/QE9WaK4XIl3zu0jo6vwuOfX8rDs19RJOPDz86ifkeRM3+XZGVUHPSnczW0/sbg9AWt8I63BfrlRDnaX0fzthLd66rI1QSZG+oVY6WihpVFqe8C0kytTXhpCA5CloIXYFFzL3uvmsna2Kj6XsJ6kfhVfYxmwzQGxil5JtlykAurj/HLP6vk1uRZYHIE8a4L3uDgwkaWRLsEvwqD9uAw13xUQLJCSSZ4GLc3v0Xq0YNYmnCS7nETxMwCn1/5DIUVluI7DPnd8Wc2PkmdOYGOS1exBieoc2H1MS5eeVShZrL7v7NxBwN2XCmvhssxGq0x1sWFeWaDmRLGgE6Y2aE+3y+pAsuXYQ/YceW8OnWUIDtviUAOOzGlgpv6GHeKXUPBs3yfprJCJWSgpRgRTnbzkm8hP9OQVmagKEz9LM1R6MPM4ADHi/WqS5Wk07RT4Vs3iKLiXKmaVLmCOistpP7mGIY/9gEoeYay8re0Mn12tVK9SN7HoF1JqlyBFXQUd8LSHE4Xaxm1I8yoGFSj2KFyjJ3jHVQHciyK9qhIlV3jHWzuns4dM3YBqILP8IRqp9EaY2+2jZkVA/SV4jzz/ErmXHCaa2r3Kw7QN968lIpui9tvfZWkleZkqY7T2RrOfGcW6esyfNT3ocm5AX764gaqD2gEbh9geUzco6fytfR9ZQZvXTyLj171rD8CSvH0gQXM/E6Zxz+/jPs73wQEaqU9XkPAgtxHA0y4QuF5JpOg/Zki+zqauLLmoCLYyiJuqgKo4E2GWwpkyqDoweL4Ofa0tWL5KfGFsonj6pRck7wjVEdJM02tmeaKaUd48oHF3Nq2X903luYw/9bD5MrSrkAga7JYMHCVctb2DB5YvZniKsFXjBoFWgIjVEYKrHjgNDouhuapzLnbmnZRfP8+xQmSPJ4HF786pUgX7tdtgREeueA5hX6jCTfnWeF+Fs3pVs1CSCtTdC02VB9Xo6WMEyKOGOkvj51R971sKMNGkcSUnDHJiZKFasGz1PuVo1L5OUh3f+ncP1WYENRthn0Cu7Q/kNODgq/ctH3PJwfNDyo1FVdNft7ybJExNHLtO36kiKQKSMJ2zgmqplo0eDoRQ6jAXnbCXFp9WBD6/dgN2WyreB1/X3HQ6LWrVVPioKlonRZzRFhH+E3QuWIVOSvrNx7ifDyRqyfvWCqbT9ynJs/1z6c6mGNl1Vkqparuj3T9yRdCv+lZQkdDnqtqDqgAulP5Wp46uJD1s06wrLJLbRQvDszl5J4W7t24mbAhNunRcpRv7LyY0Okgd9wiNj+RPRPhV7+4GM+Ed79zkyJ37km3cPZv5tC9UeczVzyhwiW/sf9Cpv2Dy88+s4IH572GoblY/s0cMwrkHUs5uI6Vw1T/JkK2MYb9PsP3JCrz8vBs2p4vcqKunljTTlJOmKwbJJUJUdfrMFKMYEdMtaDsahfdEXC6HB/MCA/y8hqdwPQJtTHqmstFHSd44X0LuLl1l3KBNXBZeO0Rei6sYk5Fn4qNWFbZBZ+DWbpDSCvRbdcA8JEFr9H3d3GCunCIHXFEsff+a15QHWLR5wJMDw3xoTufVsGHgmTqckPtHq6+/gC2Z6jONqTZ3NO2HQOXmJFnqFypoOrbm98SSh0fnQnqwvOoLTkyZQQhJLudwaEpcRhh5XgrO5J+P6xTKkMmuymhlgGh9hjxTSql2lCamVmao4oX+WdZnEjFWMqJUG+Nc6zQSD8C5Uuaac75Hj8gujrbMRV3wHYNwj4XAaQDsBirpv00anEIWdiuobpdBw3LD0Is6SYJI6viOnJegIxrKVTC9WM9uooJGgMptdm2BEY5W0wy5ltF6JpLW2CEPruKnw2spiE0werYKdFcYFH0dL5/ci13Td9JwhAGkIbm8d2u9Yxkw1zZdoSTmkAUdg63k/5NI4UrJrhz5i4x2vFMvvXGJVQdMLnl/S/TaI0zJ9jL9tSFHPnH+QzdXOCRJZtEMe3p/GzzOppfAfszB5gb6SOm5+kvxhn822kcWGIx+84B/+Au8/zRucz8Z5sX/nout7e+BQi0SNpTAFRbArXZP9ZE8+Yyx2bUck2tIPwWXQtzzKRiUKgCBWcrjKm5FKs1wqGiIuNamoPZmmUiH+V9LXsJaGXSTgWtoVGevNGltmGMgmcyq0KgalfMP8Tmj8/gusYTSCl53Mwx4/1HRBjllDHozU27eesrHVxQMTkuN/DAv18l+iijReR3KXxp8oy4Qd5VtYOrN+yl264h4wSpDuUpuzpVgTyNoRRBn2sU0m0uqjxK3co0jdY4teYEx/INNAZSXJw4qhzn5fNE/cZQBICK+1cGgbZZI2oMUvIP3IJrMVwWHkoZR5hn1ltC+SobU2kGG9SFgrLgWopzEtey6nEdgWFOFeuE07+VVnYa8vCW61mObqR4QdIRJBk8ZhQUqiItVCaRQNEoS5l9zg1gWYJjOVwO+4iuUFNKw8FRJzKF/C+KLCk3l/eLDBcetmOiADOypHy0uOBZnMrX0hEaUXt7ygkzbEfJOwHaK4ZF0YKgS2wZmUl1IM+SWLcag50rVfP02flc0nqc6aEh2gPD9NrV/PzcKo6dbuC+lW+q5iLnBvjhkTUUMgE+uGKzGrmmymF+/YcNlNqLfGD5ZrUXvTI8j57vzyD/jhQfnP26eq+Pvb6Rhtd15jx8kGWxLp+wbrDlx8sJjbjUPzJBXUB81/3FOPZjDRyfZrLy/rP/d472/6PXn3whFPzXKg4vbWfpe7upt1Iij6W/k1mPlXj9wZlsXHuItCs8JY511TPz13k2zZ/Du9q3KbmkNRAgccRlohyiMTCuUCQ0cIKeqpgjepEqK8/OZSbh1pQ6iHNukI3Tj/H8PUtY3nCckGYz5kWI+mTdYTtK1Jjs5jtCw5x+8ISCKsUmoHNd3T52fWWCKyP9anQR0mw+t+Q59s8UTsq2Nxlt8Wcbf8eJQr1g9fubfb2Z4pPXPUHBs5SsOKYXuDB+jEUbehSMLLkIlyaOUJnM+yoOAbUmjAwrK8/6XVHgPFnorIp+3/xx0i8irJeUyaN8P9Jiv8rnRAyWKmkOjDFcrjyPLAr4vh8hpc6QChD5/l3fgVV2PtLQUkZjjJWFG3jIKPkE1zxBPaCy2mxPFg+GUrYkzbQiGhqa4HNIQ0u5uUpDRds11Sgnakw6F8uONqaJ7LFEQBDEh8qVjNlhNSaUPLDeYpzZ4YHz5vtvjk2jOpBnQ/wouXKQJmuMbZnpPH9qLjfM2E9LYEzA126Y7x7egOPofGD+FtE9egYHsi289PRymtb3cFfzDsKGOKy/sf0SYocC3PSu15QqbU+mjZ3fWEr66gw3z9xLc1DkF/1w63qaXtbpeegEl9QcpcbMsCU1k/6vTufAApOadwr/n3orxTcPb6Dtbz1+9IXVvKNzv4Dey2GyP2miwgX9Ex4Xxo7Sao5TdE32n60l5+pcGD2ixl+ao2GlxbqqMnIcLzXQVjHKthkGhink17KIreoYZ2BVgo2hMaI+Mb4hmOLsrS4NDQOTZnGexc3z9vD0Z+ZzY91JdQ9JV3LX0xkox/0xssv1jft4+8/buDV+WnADfUL/u69+xR8FTqh78OLEURa/t8fv0kVURMLM8LEFL5OaG6beTKl7P27k+cSaTSrQt+BaDLkxFkV7WDq/S3ER5XVx4qhSC0pyqaWVWR8/rpA+acYqR/kh3eZsMekbKZYUoRdgoBwn5USoNSfUmmkMpAjGyxRdMSqKmzm1bqfaGdiewVC5kriZV7410txPcg3l+gBU2Km8hGmfKEpzblAVUDknQNgQooiwUVKIZdK3hAjpJQr+uEZkDYaUvYcc4afKYbKm2J/kODvnBgTaqQxoBdfI9Q0Wx30rAGmWO1qOKB5dpZ6n4FnsmOikITihrCEMzeU3o8soewaXJw/7lglC8fXvh1ezsKmX9YkTylhwx3gn23bN4pq1e4Tbuu83FzdyKti02sySMDN0FWt48mfrycwu8dG1LyoE/Sddq/G+XcfOB4Z5T8dWZDjsk0+uJdrlYX54J23BUXTdozufYPhrnRyda7Ls3rPKyuPF3tkk/zXME/ct4vMrn2HEEWjTif0tzPh1gV0z27i45hhhXXhiGbti1Ix42MsnswsnyiHiJzxGgwG/2BH3oqm74IHrTnLdgrpNRW2OiY5KYmZBoVOW5jCxrMhE1qTayqqGszk4zu9uKVNVlSJpphkg8F8+6/+/uf7kC6Hue1waW/vFoe1DrLe27+Y3f7GEWxsPknYrFAnxvcvf4MA/NHF9lTDyKvoH3UPXP8PJy2tpDY0qaLg9OMxH7/29cJn2JZxZL8jiSDfzbu9Vs3pJppsb7qNz4xCt1qja8CXXp+wa2JpBwC8miq7FFclDynpfPhZgSaxLwcPSsj9u5JgX7hWPw/fJcAEdVbjJx0nJeJWeo7dU7auqZHyFo7qjkGYz7Aji4YjvUi07S9sTqNPBXLOq6GVeleS8qM7NLzZyblC9btszlPHdaDmKrrkkzQw5N6B4G7LIkUiMlHtK2az0vNiXa1XuqFI+H9ZLnC7WkjCzStlgaWX251oFzyPoKhQo44R4YXAuKxJdNAbG0X3zsmOFBjZ1z+b2zrcxDPFauoo1/GL/CqqrM9w7bQcxvUCtOcEvz62g9/UWFl9xhOuTexktRyl4Jv/y2hVU9Jncc9tLqhh9Y2wGp74xm4mbMnxs/ssKQv7RKxfS9JpHxRd2sTDcoxRNg/8wjYOLTS646zhB3aa/HOfJwwuZ8a9l3vjLadzTtl0cnq5FxQsxdBuYjyL6/n5sCQ3bbM7OrCHXGFQHiJY3CEx45JwASTMjCgPXINegEQsXSVoZpFqxqnGCweXVXOT7Q/XbcdoqRtl8m02iapzGwDhdRTFiu7rzEM99bi7XtB8maaWVB0nLJ8doCYxwa7QXSzMYdhxurt5F9d/laAuMcKTYxJlCkqBe5rrVbzO6NELOCbIr24GlO0SNAte9803hW6O5qlu+vfNt6meJBmfYjvmqpjwPrXxFcOf8A33QrqQxkOLhea+oMbjg/ol/46M48vCsMnIsjJ3DwKXoWdgI9EhE2YhtU9dc0j5JWNobyFGCGIm6KudKFhZyfbmeRtYLqhGkHOHKPLmp6zHnBGkPDHGi2OCvhaLie0h1kmwoFDHaJ3jLAgpQ49Jac4LNE7OF11ggo4it0k0/6wZIuxU0W2P023H1WYt/p5WPUGqKGzGgCnhpNBvTC5wrVVNtZsk5QQ6Umpkd7qfKyAnOplnk2dFFZMsB5sb6CRsl3+U/wTOn53F5x1GBRHtiPPv80HwOdjVy64Ld1FakCWHTU0rwvS0XYiUKfHjhZizNIWFmeHFkLsd+P4vGa7q4uuGAQv3//bUNxI8YXP3AFuZU9NJTqhGv1RCEcfn9hPUif3PwKqp+EOPMw70sSQhvpLxjcfanMwikPYYf7SZpinWyL91M6zdN9lw7k3VXn1J75Y6z7Uz/VZE9s5qZ0TpAWC/RVayhMzhE3MypBlKiTaERj0xZV999rZmmKpSnp16nJZwl4I/4LL2MOzvDaLKCuJlX90xzcJzf3VSmqlqM3AJamTE3wi1te/j3D6/m8jZxtg3YcdqDw9x60TbemDONi6rP+AWPGPVdcPNusuWg+O78z2RaxRCVn9wCTLpAW8CG6hPM/0Sfcqrfl2uj3prg8wufZWBOXKFa0obh4ZUvTRnDi/0+rBd5ePnLauSvT0FA/xjXn3wh9IVlTzMRSiiyqBxFvLtzGxkfZTBwOZBtpjk4zlU1B6gycnSXapRcO6wXmR4aUpCfpZWVp4yM2NA1j5wjojcANaNN+c8pXTSl668k26XdkL9xlRQSEtaLii8xdVY7qRox1A0L+Jbotnp/MkYDdzKOY6r8PecGGHNF9wMoiB8mJeU5N3geMiGfS2aDHco0UW3laDBTjDhRn0Bu011I0BEaYcCOU+37wXQVE3Tnq1la2a0KQ9sz+MXZFdRFMlxcc4ykOUGfXY3uoy+y8JNF2dePXUz6eBX3Xr6ZeitF2glxrNDAk79eR35aiS+se0p93r86sxTz8RpaHzjOdbX7sDXROb/w47XoRbjjQ5sU9+bNsWmU/7Ken97RzBcuegIXnYhe5NevrKHjaZtjf13PhqpjonMvxWj+vcXYrCRMQ0VOZEsBGraVOLWqBiMpXr/heVgTBnoJBv0DOqSVSQYz7G/UiUfyVPqmYQGtTNX0UfrKCaJGUY2+uko1DNxVoCM5Soc1zCuZuTQHxrhzwVv87tFFvLdljziQyoJrsOy9+3yTPHH4jjhRrm48SPdfJXhP7CQpJyLQLivNJy99huENMaWusj2RJj737r7zCJYAH5/9IqMzxJhTxrFUm1n+fMWT2J5JRC8Kx3TNZnXsJCsXnCbmIwEFN0CHNUx71CasWaTcEmfLFbycWS7uN63MsUIDbcERTmRrcT2NulCGKivPRFkoGOP+5yRHLamy2PzlfR3TC/S61RQ9kxCTyeI6AkFxfLd3cW9NBuhKAYT0YpoasSGzz3Rt0rBz6iXXlZSxC+WYo5Q2EjWUXXO1mVUKHjmasfwU9rQTImSUVWMk31NPKSGEFroYHUtTROmQXRdIkzSFKudsKUnODXA6l2R6ePKQtT2DpwcW0hoZY1G0B9sNiHzCcoBtZzt455zdLA2fRcdl1Iny10euJpML8sCCNxh3wmos89JTy6m/oJcbmvapce9jOy6lcl+Aq979pkqn7yrV8Py/rmdkscc3rv2Byg/88dlVRL9dxc4HR/j6nJ9z0q5lV7aTvT9cgBPUaLh3goaA8KnZMjCNlq8a/OF9S5h3Qa//nQY5vK2TjhdKnPurKjqDQ2KfcwI0btaZ6IjCwkml7LlMnKoTZYZzYTUqDOo2nuXhhMSe6aITN0UB2VNK0GiNq6I17VawurGLly5bwA1V/comIRnI4F07yoRtqtzG0XKU++rf4FMfbWBZ7Vm1/izN4Z1z3+btv2zl1vqDyoZEilZcTyfnf+chrcz88DncB7fTERqhysiRcwP0lqq5rm4fmQeP+SivrkZsn1j0kiI0S9J9SCvzyZWbiOl51ZiKvK9xHpz3Gjn/+28PDgvH7tAgja3CRqHKyNFtC9foRdGe8+5H2bC1BEYVyiTzIQ084mZOZfqtjR7n9yPLWRTtOU/xKHhSYqKQc4Ok/FBnOeZ3PZ2izwnUpti0/DGuP/lCSKIdk6GCAaQaRaAMgli8IHKO22MnufvEzQBcXXcAC1f9DhHTUWLYrqHeSqlOV86uC644uGcGB1TqubyRYkZeJBeXo4qTMVaOUGuKANVxO0xrSMz75ahEkhXlzWHonk/ErqfazE1RsgjSbl+hkoWxc7h4ipi3J91GV6aajfWHVRGXcUL85MRK4hUF3tP+pgqRPZxt5OU3FjJzSTfX1h/AQSOmF/mXo5dS2p7g8lt2MKeij5QTYbQcYdNP15DpdPjIJZuQWT6P9y6n/NUGnr6/wMcWCLQjphf4wwtraHqtzIkvFVkUFeO3c8VqjB/U0NVYx/B7emmyxtTh4Xq6f0hlVfebOVpNzX4oXmYy7gilke0aBMegmDYV+bjgWViGS7Zeoz08qsjHRc9iYlERymKhiSTsLEviPXzv7k4umH9Mbdoh3ebqDbvZNbeFtopRlYS9KNpD+pNBlocmVFevax43te6l+8sJ5kZ6GfJDOxNmhg9f/yw5RxiGSYv8dbETrHjfaQpeQG06GSckEKYZBaVISrsh6qwJPrv4OcadMINOTD22JTDKQ3NfFfe1Dzc76IrwKccPo+Uo9VaK6miW4bJw820JjKjxoyyCJDl7uCSsJADlDj0166ktMKwQVGmWJ1+D5DcFNAc0R3kvyTiZlOuR00r0livYU2hjxI4wVIpiaS492So2l6ZTG87SFh4jYorCaipRUxLLR8tROkLDhLQSEb3E7lw7/eW475vjqu7TwAUfuRHhp6KDHbZjytiuOOWAlLyWoLwH8TiUa6I1NHoeEXW4HGV/qokVVV00+T5QOTfIb3uX0BxJsayyS/m5bBmfwZZjM7hl4W7mh88p0vf3d6/DCpX50ILNyn5C7hUppwIdoWBMmFm+tvlKoqdMbr5HpJdH9CJvTXRw9J/n03eJw19c9DvVZH1vy4V0/MEl/2cWNyT3MO6EOZprIPPPLWxe2sHc2/oUPeD1fbOZ81iazf84gxntA2KM61q4m2qIZzwycyebn958JY1bS5ydUU2ybYJRJ4qBh6Z7mDmPt0bamNvSq/bYbKOGF7E5UmwkpIkIjunVI+xbVcOi2DhPTCyl0RoXqPHGNKbpUGNliZvi8L+q6TC/+tRSrm47oGIldM3lho3bOb6mjsWVwjtr1InSHBxj/sf3U2GUlC1IwbO4rXU3XX+WYHpoCAdNFb0fXP8K1gaBMIrQaCEJFxyfmMoFO1Zo4OKqIyzfeIbhckwVsg4aH5v1ErZnKm5T2BAj8PfOelNx9eRZ0xYcoblhTPGNAFVcSL6URKtGy1Fmh/sBOFtMClsRP2NP8s7klEEhMj6KIxVwKZ8WIX8u7v+y2vulMKLg2xoM2pU0+pynoXIlIb/5nsqRFDSA/4u9/wyTqzrzfuHfTpWrq7q6Oke1cs4JFJAAkUww2ICxDU4YjHHC9ng84wm2xzPj57Gf8cz48YzHOQeMbcDkJCEQkkA5h1bsnKsrdFXt2nu/H9Zeq6Xz4VznvGcuv9fFe+oTEq2uqr3XXuu+//c/iDGn7RngTZ2LsjmSHm0yjihqlvyzTJy3Cd9jTowMwwIh9ekglxZbs0J9jDtRThfr/2+e9P/PXm/7QqjsWpR8REPeXHnhc36xUXCDXCjV8HPPYHZ8gJnhAeJ+xIbr6QzbMUbsKFdWnSJuFJVL8t6JNsbLYa5InRGFCR4nio386cJ82hNjrEt1+Z2py7liDX94fSXLlnaxMnmeajNPb7maF0fncejRebh3aSSToqouYvGTZzZhFDXe986X1eF0ON/Mm99czsBaj89c/Sy15gQX7RRPdi2g+Vsmhz7fxMOztio05bVnFtP4WomTXxtjTZVQKmUqYRI/j5NrSpJ5IEKrNcqEG+boWD2dj5c4VVuH1SAymyzNYXwkRl23J6IB/IcupNtUIuAZU/woA5fGSIY9y1rprO1B1zxSeo5RJ0bdkgEuNFSzKTSmisJqK4/9gVGaInmmhwbVSK3gBGkPDpM2J9idnc6imNj0Pnj9y4xcHaUjNExAq1D2TOaEe4k9+JLqRqQt/vs7dlG4T2xwllahyRrjol3DQyu3XoauFdwgaTPLl9Y9qfKHQKh1Zkf6Wdt5WpE5ZW7PjTUH1YPsoBHXisSMInOjvQJJ83PQAMWbkNfo0qIlU5niNlh6BTxdjfZAjGFcP/sMUC6/M4P9vJGbScIsiI3JN6uTaIOFKHizbghLr/hKGE3xDc6W6lQX1mBmyLtBuop1NAYyarOXz0hLYJSSazHqxRT/puAGiPs8KGnkKEcnuuZyotjoF/E5LK0iyONmgYITZMSOEjPF95uohClUAnRnk4TMCqvrzlNtCpn+cCVOfynBhsRxbM9Uo+TH+pYJ2//qE2Q9kZvWV0zwi32reO/S3coY0tIc/umNG9Eth88vf15xed7KdHDwd/NIXd/LHc371HqWOYEFJ0jEEGPXvZk2Tn99Hk9e7/KpdS8oVOFn29bR8USFo1+xsaoq1JsZDudb8P5XHbvXNzHnHf0+Wb7C9gNzmPnTEl3/nGZ6aJC4UaS3lKRmWxA7FsKdL0KR5QFR9EzaAsMMV6roLqeE71ZJB08gZ1G9hOPpRI0y49N1orVZBioJZgdF9l3r9CHO31LHXdUnOTzZQki36QiN8OL7C7SnxtT9tjSHzYuPsfdrLXyk9S2KroWOCKPecN+bDJbiKjpDOsMf+MdxbgkPYXumitP42IqthFZW/FG3S9YN0xYc4aP3PK3GdVknxLgT4bqaI6y/47SSXwu7kUk+O/9FNUaXnLuUkef+Oa+TMnJk3bAai88MD7Aw2q3iZmRG1/L4OaUik4d3ULeZHhoS/ChXKMDifsTPwtBF3pycxolSAzVWHsuYUttJ3lXCd9GP+cRp2VzKfUPXPMVT6ysnOeo0q4gc6b/UW67GMh3FO5TFrkSuYz6KOmAnMDRXnUVZJ0RLQKivpCeV2A+mRpy65lGoiPUa9x32I3oJy3Smnn9/vObiqSJV7EslJUQJ6raKzpASfAOhqh0qx5kRGSBl5MCP7jieayRqlpgd6VcKu4IbZOvILFoi47SHRuilmnmRXk5N1vPixdmsb+4iEuknZhTJOGFe7J/LqZ463r94l8hN1BwcV+OH+67Ac3QeWvXKVBbbn+n1ti+Evr3jaoxqiweWv0rCKKBrLvuzbez83WLcNRkemfeSWuCPdi/H/n4Dr39gmPunvYalOZQ8nV/vWEvzi2D8lcfcSB9ZN0TRtTjyi3lE+x3G/rrfnzNPcmqyjqr/neD0vDSrP3hOeRftH2th5i8n2RNvZ92q02rO251LUru/yMhtIgKi6AlreqMkRCDy0A5pNjVWnlyrjlmXI+j7xdSaWVa3nGf7rQvY1HBKzWIjeomZm85wfE4d10UG1SFcF5gg/FAvc2OjwkzMJ0zf1nKAQ//czDWxPl9eLir5z615jrEVUZ8bIfhH9VaG990pChA5Nit4QTYmT7Lu/ad9HpWGjehSbm4+RLpdmNB1l1NiA6DCQ9O3KaNAyb2SPxPRyzQEpwjnaV96bWiuKg5CGiqI8lIVVUQvq4286FkcnmwlZeZoDwwz7kQVkdL1dOXqiyc6uKIbpT0ojCmHKnFlCCe5IjJsVXIjLuVwWbqjuq+iK5LNpfJLOu8OVeKE/K4sqNuU/G4w5DsTgzAai+hl2gNDnCg1kqkI2wBLcxjys92kT4/0Min6+WvSH0SOSDNOmJP5BlpCY7QHh4kYIvqjq1jHG6OdbKg5RXNwTBVkT/UuJB3Osbr6LE3WOKeL9RzINLPvZDv3rnwDS3NUUfiNndeBBx9YscOXGQfYNdbBhZ/NwL15lPd1vomLRl85yeNPXEHNEZc7/vZ5HDTWJ05wfLKJ7v+cwfkNDv884zEm3BC9lWp+sGMD7U96XPiLaq5MdRHRyzw3toDyvzSyf6XJgnf20miNM1yJ8/Kx2cz6rs0b/zCN25tEZztoV5HaaeEEAxSWCiRgtBKjO5ckeaZCZjLkW1WIAsu5RFrseqK4qwtm2bnQoLZlVMnBbc9g5vweTunNbI7102qN0l9JkLQKjD6QY0Fq2PfzCaJrFneu3s3ema3cUneAoUqc4UqcRdGLmA85qiCX4+pBu8pHs8QIQh6SD17zAgC1ZlaJIBZEu1n1/i6KXoBhO06vXQ3Ap6a9xHibICTXXxKHcM+st2gLDPvEarFWVlad5YrEaQpuEBuDEDZF12RmeJAVsbOMOrFLcrUMxUEEMQ6UStaME/V9z8KKmygPYMn3ALA10ZwJnsikcsd2fAd0ufYzlQj1VoYGM6NCfOWBm3VDqliSqMWl0m6JlBTcICV/D5T7KQhZfdyY5HipUTz7VoGcX/zK+3GZkzci0FlODyTP8kK5RpHqBeIvmiFJDxDiEME7OlEQxZYssGVBnamEOV+sYVakX70/wIlCA6cmarmzSbh/d5dTTFRC7BicxrSqUa6vOUTGiWJ7BoezTezrbWFD+2mWxi6I9eNafOfgRiq2wQNLt6uQ8IOFVh5/ci3a3Bzvnf0mC8LdnCnV8Xj3Yib/UE/qzm5ua9wvBEJeiEe7lsLuBPnbDrEucQpdcxkrR9n700WgQ8NHX6IpMEbWCXMk10Tuay28tGEaD7/zaZ/MDX84vpjOb3u88VfTWDz9olpPZ3e1Mv2ZImf/Rw2NiXHBs3WCJHaHiAy5DC+N02D2/bec//9XX3/eQI//H7zqX9ep3hFQTq+W5jBUjFF13qWQCTNciatuOmhUsCMaiWBRVdSW5pBsHWd4sUHYN0LUcYX65uoM/beXFWF4tBJjZniQ/CfG6by1SykSCm6QmxsPov3jCO9avFd9tjE7yg9m/xztS0NsTh8n6Y8XAN51y2u8/46XVGUsojcGec/7XuKRRS+p98u7QRbGeviLdzzOlYkpj4yiZ3Ft+hifW/yi6mgkYfMDLTuYFe1XfxZjsCKrE2cVuTJl5JUKRCrIJPwqPHVGlDuug6ZQqJAmxjejFbmRCsJoxonQ6ztcy5cMPJQdsSSqyo1OmsRd6oWhI+FawWnIOmElkb+UNCoVf4Ca74u5dFj9rK65BDQh9ZeGfo2BcfL+bN32DHXthM3BpOrsxO8LKBn/6UI9g3YVteaEQhpOFBrYOjpbXceiazFgJ/ju2fXsz7ao7542s7w+Pp1/27OZfbk2lRN2eLKV77yxmV8fXS5Is26AvBtk10QnP//+dfyxZwkwFcnwredu4In/2qiIyxG9xNnJWo7/8wJ++vIG4VViCIXKY2+sIvtXzWwdnu0XYjb9pQSV/6rn0NaZ6j6nrSwHzrcw+7slXuqbPWXW5gSpOhQgfiSgPkOtmaXsmoRGXTTfv6XRGmdR5CKlugoTHYIInDLyVBlFYkaJsXkilmNHYSYHim3k3SCL557n/M0aV6a6mBYcpOiZrK46Q/ajGRZsPqmKcilwKH81w5b6Y8o4sc6aYPX9+7j2g2+I4tgR2VrvbtnDhr9/g/tm7FT3N2XkhBu15voHnSD2zg338vDdT3LftJ3KH8r2TDbXneCTm56jzY/gKfkKsgdmvcbV6ePqYM45IWaF+rm/9VXyvvfM3FAvfXaS2ZF+5kV61c/KYjtmFJV/GYjDvdbM+rEGYbXuBFFZFPTSzsP2TPorCdVUSB6ipTk0WuNk3bDK35LFs2gaxOi5t1ztPxsiAFpci0nVyMlnSD5TWT+PDFBcQwfNH/e4qoAS+4dAAQuO4B3GjUmaAkLld66YVv9Pxv/YnsmZUh0FJ0BHYNgfG0VVkyFHSvL399lJzkzWKnRCvl4bn8m5YloINXQhvDhSaOZ7XVcqFW3MEOKKX11YyU/OrqG3XE2jNSYKjXwL/7l9E/sybZeR2B89tZT/+NN19JSq1XudK6b50e+v5V+3bUHGhFhahROZep75Hxv44bErCGlTYaW/emMNh/5pMQeyrRh4RPUSJ4sN7PrOMoZ/28rZUq3YPzWXE9l6Yv9Yxe6dsxFGkpOUXIvdO2fT+N0AI6Wo4qoVnCBVL0eo2Tql9su7QQZLcVJHPOwLoqkVJori2Q1MeOTKAX/NCYNEy3AoJzxSVl4118uj58jMc8jMFoR0IWYJ0xYe5ey7NKqXDSl1X1yfZMvM45z5uM6GxtNY/j4bM4qs33yIwl9nmB/rU2PPtJVl2fsPUv9wFy2BMUqXKCf/HK+3PSI0+8GjJBKack8OaRVurDvEns9NcEt4WHXsGSfMDQ2H4fOHFRQrxx8fnrEDa6ZvuFdOqbnyX8x7DhddeLNYOYYqcRw07pu2k1pzgtPFBsHu97vzdzfuIXOJ8VbCnCSoweyqQUquRb+dULLLtuCIUqEM2wJFsHVDZfXouLg+wUx2L3k3qDp719MvSR6PYrumL502yPpkTYcpZETXPSyhW+FCqYb5kR41/y1hKchZEvWybpiQJqIxBu0qpebpu8QPR27QsluTVXfJFZ5Jli64FyKEtYSDRqYSobeUpDaQ9WfdFUKaQImOZBtZX32ahJEnoAnX310TnUSNMguignvkeDo9pWpe7pvFdc3HRICiJj7HE32LOd1fy4MLt6soA3kgiuBAE8sTn+nx3sWMPNvMojuOsqH6JFG9RK+d5IdPXINR0LjnrpeVCeBLw3MY/V/tPPMum79a8QwRXZgnPvHCalq2Vuj6WpaFkW7hTzPRROhfU+zcWMfCm3toCgwzYCfZdXg6M39qM/CPVVhxRxUnNbtM7JiFtdhRB1hfoYr4RUchG1lbHE5uVYVKWKqSxGGZsvL0r9ZJTB9VkHjBDbJsURd7zGncmxRqmJhRpNoqUPrAGFfXX1CS4JBu8+llL/PU1xewrGqQuD5Jn11NvZXhmvftBASJWYYqbk6fYPhLPUSMskKOzpfS3H/lNkLrBRenpInmIG1lefi2py8bV4c0m2trj3JV+gRJo0CNkeOlwjyurDrFx2duUzwEiSDWWRPc7AejimJamEzOj4r1m3NCyg4ipBf93DFHGUUG/DUT1G06g4O8nJlLR2hEuevKzzVWEQdIzBDIkJTDSxI2oMivssGY8sERSsteu9rnoExi+wieHLngjy5U5I1fTDuuGJnF9eJlQbSGNpW3NuyjjLpfIAR1m6gpjCUjPmldEuIv9RUC6C6nSJl5VkbPMujEeWl8HjVWnkWRi0T0Egcn24gZRbaPz6IlPEbazKlU9r35Do6NN3BN/TFqzay63r/pXYGpu9zScFChXueKaZ44vIjr5x2lJTimcr4eP7OQwmiE+1e/iu2ZvvFojN/9ZiPOkizV8/LKt0cWQPIlOXOP/WojVhZu+eg2NZJ9bXwmvX8/gx03G/zjlt8yVKli2I7x2OurmPGrIgf+uZk76vcy7kToKycp/7oeTwP3MxquLz7ZNdDO9N9W2FfbwtrkGSGuMW3K52I0veHgXivc3kOGzYBdRaTfw9OnkC9LdwiaFcpxjVDAVqKWkmsRa8wxvCjJFcGsQsNSZp6Rq0oYlqu8lOqsCdakzvLD+xtZM/2EGOV64hps2bCfowsbmBMfUOs1YRZYfv9+8pWgskFoDo6RDuSo+8udxP3GeqgSZ130JHajwdhnLzIzPCjWHKKp+dCMNxhor2JuuNfn5gljyE9ueg6AzsAgW7NzSZiT1FkTfGHd04rDJEZzYZbHzrFk2QVyToiBSoK4LpSVqxNnuCJxWgmJSq6FrRnMifX5fK0S495UQfvneL3tC6FZsQFa45PCs8IJkggIlGFBtFfAff4GBzLrZ1JtsjaG8stwPY2876PjejpBw1ZwcMznE8mXgctQpeqyOIA+O0lzYIzO4CBlv5MpuhajromLxrAdo6eUFDb9vruo5Usl4/5sVXZWymfDl/LKgi1l5MgQUf9WdsJxvYhuiAU3bIvPKUMZLa1CEbEhD5arqAtMkDDF2KDeynC6WM+5yRpmRgYV6TfnhHh9bAZl12Bd6jQJQ8g3TxfrefTEUq5oP8u8WK8wBXMjPD84l5OHW7jlyj10hIaVf86/bb0OKhqfvOZZ0eG5JqcKdRz48QLKWya4Z8ZbKtn7pwdX0/BkkMOfK3BD9SFGKjFGKzEO/WABdkRjwQPdokA1bJ7rnkP1N2P8/lOL+fScl1UBcO6lDhoOVzgzo1YF0hqeR8YJUm9llKuypTkMTsRIdLuMlwWXR4bIuhZ4sSklUa05QW0ox/FlJq31g+K6u2EszaFjZTenqxu4MTimuqp1qdM8+ukqFkWnUERLq/De1TvZO6uVG+sOMeqHFqbMHGse2IupO4p8r2sutzXsp+9vz1Ft5hmwk5Rci2ozz5fX/ZGzK+uYFhwk40SZGewn44T5yE0v0miNMep7h9SbObakj7L6yrPU+t1hxglTbea5d9oupZaUm2bRM7mtYT8RvUSfXa2Kg47QiFJPSZ4QoHhcWScsfHX0qdgaHaHClBYDcuwkUTMbQ8l1hypxBuwEa6u6FMFbHoSymTBw1QhEdu3d5ZT47DpqhDkv1MPRYrPPvxjFMgRyer6cVt9zpBKj2iqQNicUD0xW75e6+kqCuXTqlvwe6V4sDTVHHWEBYOkVUkYeQ3MJeibHJ5uEpUBgTDUNJc/iULaN5tA4M0IDymX5XDHN3tFWbms8QEQrUfJEBtUPz15BNFDmXc17FSKzK9PJy/vnccPyg8yP9ihvrH/a9g60sMNHlolxv4HLK6Oz6frVLFK3d3NTw2EOFVuJG5O8tG0JidNQ+uguZkf6aQmMsjvbyYn/OZ9tazUevuFZUobwxXr8wBJm/LDCs38/n3uad6uRc+6XTegOjH62S/G2jo03MP17Ls++ZzGf3fQ0WTcsODaHE9SfdBlbHlHk2VwlSLTHY6QuijtXZ8gnMctxmCwU5frJt1UwswZBreKbiEJzeJxdV1u0zRaoQ9YJUReYYMXS07wZ6uTDyYuqqFwaOccr98yi4uo0WuNKfXtj6xEOfLmFOxK9yrnbQedDW15hZFOUGh8tkajg7R97xd//5RrVuDZ9DPvhk1Ootydcqu+duYvauVnhUF9Oq+nDw8u3XqYslEW1lJZHfVK7LPZn+VwdeWZZWoXO8LBaVykzR6s5yqQToCk4rs6kkmtxstxAzCiq4hGm3PmDus2sUB+Op3Fqsp624KgSSQzYCQ4XW0lbOYX2S+6T7RnUmwIUkONQaS0h0coIJUUch6lRqpygyEnCn/P1ti+Ewr79OeBzAKZg1aAv1R51osiIAWnnXhPIcazYpCSVwGVjG9fTFKE15G84cnNOGgVOFEWquzTvShiT9JWT1Bg5ZQKYNAsMOVG6C0kAOqIjDJbjVJlFuoq1ZGwBO0qp6ICd4Kne+bTHx1hc1Q266Iq6inX89q2VrF9wgllR4fViaQ6/vLiKgbcauHbLXub6hV9It/n+M9egl+H9t7wiAlIdkzcn2jn57XkMbHT4xBUvYXvC+fVnR1bR/n2Dri+keV/bLrXZnfzRHDwDVj4s5KKup7F/vIX2f9XYdvc8Fl99USnqTpxrZPofbM4sTrMwIhCIghMk3G1gFsV/p60steYE+yda0Hxzrnoro+DvtoZR+uY30xCcoOwZRPUSCbNAZtMkpuUoAq/tGVzXcpw/PryIm9qPXQbPr33HQUaujbIg2i1Inz6yJ23nZXq4ZTg8NPdV+r6YpN5HfSRq8ZEbXvS5ZmKzO12qZ33iBFfedYq8GyTrhpXn0t1Nb2I3GkpuamkOCSPPbS0HVMEtOQyzQn0kags+KiI2pbwbZFHsIjVGzrcoSOJ4unDODowoZEQ6kkOAxsA4Ac1hwK5SyF+jNabkvFKdIscmUt1lXKIWkWZpo5Wor9yTGWFiu5gaYZZUByglwxE/RFRa8MvGQcLw8rtJXoTr6SorSRZ7UjkY0irYGDieTsYJMz/czcFCm1KUuZ7OsN+AJIwCaCiHcTn6kOPSo8VmMk6YoXJcIYCW5vhooRx1BglqFYqeQEl/cGItDYksNzUcVi7BL4/O4a2ds9iyYT/zo8JnaMBO8JOtG/CqbN67dDf1liAlPz8wj7FftRB81wD3te/EokLGCfOHx9cR6fO45aFtKobnUK6Z81+axdY7DP5h82PkEVyex15bRefvbbb/wwxurRV2CQdzrYT/o5qR2Sbuh/YT8qXSr1+YxqwfFznY0cT8aI9Pyo+QPGJSiZhYKwThuuyZFB2LyJDDUC6qMsFwwjg1NsXRAHWBrB9NEiJpFhhcoROenlEScENzWTu7i53vmcU7q7vJOBFa/DDN0q3jWIbwJpIH3sbaU7zwdwZ3p88iJe6jTpTr37GbimvQHJxS4HWGh6j73Itk/fDS0UpMoceyILE0h6ITojaQ5aENwpcmrhcF+u0ZtAVH+OzNTxDSbfKuQEcG7SrWJM+yZHX3JdxCk/5Kkrtb3lSKQ9szsIFpwSHS6ZxCbGSDkLayRIyS2v+FP1vUj1nS1Nkj+Yox3WasIjigsphP+F5KJ4qNygVbFhN15gSH883Mi/Sq0RFMuaBL2oZED6VKcdj3b2oJjNJdTon7Wgnyoj2fRbGLKu8sqNtYvppLZlsWPQvDR5oE8iwsViJ6WZHOZU5nyswh40iGK3FVDAEqPko867ZCfQAVeixdsdPW1P6g+95gg+U4dYEsDv+vfP6/9TVqx4g5Oq6/QC1TwMKy+xKKIxH2d2SyhdcHOrm5+RCWVWHMjpA2c5yZrOX503N415x9pC1hQBbSbX5w+kqGu5M8eKVgubt4jFaifPvZ63Etj7+89knFI9k70cbxH8zlp1cV+eaaR8XIyo3x72c3YfxnmovXwYI1vSRMMc564XerSHa5pL6wm6IlusOCG0D/bi2HOxtYcF+vWmDb+mYw6wcltj8wk41rTmJpFc6W6rh4IU3H9gr9G+KsiJd8h10dK6Nh2KKwG6gkaLLGSQUKTNbqBJN5pAtoybWY1TjI6WvbWVM1ojLCYkaR4o0TRIJldaAW3CAb0yf5/d9EuDp1mpSRo7tcI2Tkq15h+/SZbE4fVw9x2spy591C4ZbyzRRDWpm58X4WfbznskJB9zw+0vYaA40JmqwxXE9XKrO/WfYnAppDr09UBJRxnq55KlDX9kyWxC8STIifCWq28lkq+iMM0S3LjrPCtOCQ8Fzx8+WKnuWPQrxLNq4yRS+gDlPZnYFwpC56FgVnKtdOokUw1QlJEqEkdbqXdEs5J6Rk+mkzp/7e9gylPJEQuKuJjnDCDSsjTSF9DTBcmZLGw1TnF9cnGagklIR4rBIV0QXGpEBOtAoni43+dR2/pFhx6SrWEdQrtAeHOTnZwPTQIAN2grfG27g6fZw+O6nUKCcLDRwYaWJd/RmRGO95jFWi/PLkCtLxPLc1HwDE5rltfBb7XpvF5s37WRq7oMZAf/X4PThVFT5x5Us+12WSn/WsZeLHLVjvHeDe9p3Cr8mPtZFy6LxfoG0dmUX+K82cfafJZzc/ra6jPGgcNH/crNFVrKX2hxEGFiRw3n+EjI+QvnW+jc7HJtk3r5klsQvqPidO6RRTQRIrC35x6XPZyqAhuHMZJyoMLRsquIbhOz+XcFyd5tA422+w6JzZq4q4uF5k2dIu9sTbWR/vY7QSI2HkWRDtZteD7cyrHvb5eeKAunfObvZ/o4V3po4zYItsuIRZYMuHd6hCQX62G+oOc+YvB2gOitiMoUoVSaPAl6/4I6OrYwqRA4Hwfe62xwHffsQxRWORPMOVm06rYrDXriauF/nQzDcuI/FLCf17Wt4k4HuwyWenLTiqED05WpN8KZnnlbay9JWTysVZcpEsXThzy+dpKoJmyqRQNgsFRwQoF33ZtkTcxEGs+d8t6BOuK0rc0F1OYWnOZURnycGS7zPq31dhbBpQpqVyrB83Jukq1pEwJmkPDHOi2CganoCtuFeXKkvPldPUWMIhvOhYU7J3vxiR167gBhitRHFM0UQIlajGUCXOYDku/Ih8Z3XbM9ifbSVpCfNdWUQV3ACvj8xgdtUA00ODOK7Ya85NptnWPYMtbcdpC47419dk+8hMzo6muHXaIeqtCVXYfHffeoJhmw/NFWut3syyK9vJ80+voGbVAPd3vCZsHnSb/+xaQeXpNHV3XOCWxgOCjK6V+carN1C702DFx/dR7/X/n5zq//2vtz1Z+rHH1/Pb712N4yuELM1h70Q7p78+j988uw6Q/iBVvNwzi9iXIvznjqsoegEWRHtw0Hhq7yKmf91m28AMNZ7KOmHyO9O0P+5xulDnqxUCGJpLvEsn3iXUK5JoDEIF5toGPXY1vXY1I06MmFWmf7VBdXOGgZJQBHUGBwmuHaH3+goNwYx6T0NzyX0gw4xbhYxfxE6UuaXlEO7XxvjAsjcUmTFl5nnPil3M+sphNqZOqTC/tJXlvrtf4Pb3bvO5OWLDWxY9x80f2M6nF7w8tXm4AW5r2M8jtz7B6sRZsk5YVfgfm/Mqn5rxMgXH947wfSLua9/Joli3QCD0CsOVOLVmlnfUHbzMsK7gCvSiMTCu4OXucg1pM6cIylk3pGSjjqexOHyei3bKJ1mbKnKgv5JAWsNfCrlKwqi8/sIxOM+wHVcHvtxYBCnVVonJMuog6SsN1XU1RDEiSeKSXF5yLUUeD/qjIMnZkk7YgFIfDdtxRUqXa6fPTiKjUyyt4h8wVXQV6xQKIzunl0fnKMSnwczgoHE438TPLqwWDst+UWd7Bv/7xEYev7BIoU265rIrM41vP30D28bn0GSNo2suOSfEj1+4iu+8erVPzg4yXKli71grL37jSn5ydg2AL4ON8Psnr+RP39rIsckmqq28QCuyzWS+3MY3X7xRQfkhzea515cQ/WoVRzKNl3DGPFK/ijL+fKMqRgAO9jYx7YkCbw20KiWM4+lEuzVCvZbKmnLRqQ3l8AzwEKMI+f3iRpGCI1ConBMibhRZU32WC1sCTJ/bq9aiRHmlvYaliYy46xOHsD8xQst152kPDCPzoD604A2qvt7DXW17fFRYFI03fWQ7d9y+XSFVWTfEu5v2cONnt/HB9h1qDVqawxc3/onP3PGEz6ESfz8tOMSXbvo9dzW/RdYNCd6EZ3JD+jCfWiWcyWVYp6553D/9NW6sOegXBroytVuZPOerxjKK+DotOCRc0zVPfTbX05kX6eXW+EECfkEe0sTvzzkhLpRqKLkWY5WoOjCr9EklrZbRHvJZkRYJWTfkmwEG/fXuKS4iCKQupFXIOSG1DqQpoPQBksIOifzk/HBSOVKXyL18b7nWYQpxFHQGkROWNApYekXtz5lKBNszifvNlmzksk5I0QwiepkzpToVFTQ1+hEN6aFss2pubD+a5K2JDk7mG9RnlvYR/9J1DeN2mJSZo9euJmEW6Ckl+ds3b1E2GvJzfPfkOv515zXqjJG8x/988Vr+5a2rBUpriMbx991LefLH69k2PEvROiJ6mX978Xq2fWc154o1lP39ra+c5OB3F/Lcb9coL6KgbvP6yAxyf9fMoztWKwFCybV48uhCar8eZFvfDELalNP5ya2d1H07zKQjrpMaOz4XIPKin1pgiGbgTC5Nw64K/UOJKeQZl6JtEu+pkLMDygzSwIWAi2uBqTkkzSnh0J/j9bZHhJyQh22IIkJCdUmrQP9aHaMjpzZO19NZWX+BZz68iNULTgNTxOB3rXyLZ+vmcmvDKUCQe4cqcdbfso/8jUHmx3qQKc511gRb7t9BRC/TEhhV3c+yqgvM/PSgglQdNC4U02ysPcVH73iVDmuYbw9crZCOT856haHOuA/3Cqix0Rrn4VlbVeeSMoVPj6G53NRwSHCEnCjd5RosvUJbcISO0LA/zhJdcc4JqVHJgJ1QD7Nr6Co/SRi02WpsIGfDRSxsf0PDMyhqoluT0QaCkCrgWGnyJusSqYaRRl9SYh/1+SKy0xutRHHRCPohrSA6vaIjCLYSNbk0W8z1Tc26yzHSVpaCZ2D7ijSZFC1VV9LyXz58uuZxarIeIzhlRClJ5r/uXcm7m/Zguyb1gQwZJ8pv+1dSckzuaNxLg5Xh8GQLlubw05OraE+NcUPdEVUcvTA0j0N7p3HT+j10hodU9MLPn9uIU1/ikyteVl3ss/3zyP+iieh7e3lPy5sYuPTZSZ78/RWEBz3e+fFX1L3an21h+O87eOudM/jkVc8p9OHF1xYz7YkyB7/WzFXVJ4joJY5PNpL4cZyxGSZGp/CFMXA5PZ6m/Zky+2Y3szpxRqFT4X4dJ6QrboKuuZi6SyWoETSEG3LAR48qMybJEiZhTCoOzOzYALtvm8mcBReFcaVfcFy5+ihv1HVyX+rsFFlZt0l/8hzzwxNqjcSMIh+d9zp7v9HG1fEeDN9gtDEwzrs//LI/XhSu4FknzFWpE2z4i5NIVaNE44YqcRoDwoFcujc3Bcb4+DueUR27XDv4B5f0VdE1lwk3xLtb9yKSxaMKnUyYBTbVnFAEaDkKqbcm1KjQ0m0sHKr0SXJGiOFKnLSZVYc+COTLdk2ynihKDF0Uv2OVKAmjQNYLgb++5c87/ghRjRmNsjq4ZQEmRx2Xql4tzcF2TbpKNcwK9aN7Uxl+e0rNJPUCqyNdXLRrKLgBektJokaJkC5tIFyKboAJNyyKBH8PkzE3IlxYIBK1ZpbucgpAoQVS0CHJ99IsVgaaZiphYoZw5E6ZeeLGJNvGZ5Oy8nSGh/yCyWPYjvJM7zw21p9mTriXPrsa19N5aXgOXaM1vG/Gm6qJGq3E+MHBK6iKT/KhGW+oQvfl4dmceWka87acZEv6qCokv733KgJnQ3zw9hcI+k3O6ck6dn1vKWPrSnxm+UuUfNTqR8fXUv/9MIN/Eeeepl1knChZN8S+Xy4kNOJS+7kss8L9DFXinCrUEf16gq3X1LHo9m5l5fDMyfnM/Jcyz/7dXD4+c5vaa903qmk9UWFkcZSWgDDZ7S0laHjdY3hRkMSKAgH/XhcrJuEhl7wdmCoyPAsv4mDHLWJmCcMPXY7oZUZWuOCgRmmup7E42c3Pb51G+6w+RVpOGTmumX2cFx6cy92NJ1VzGdJsVm05TNdqgVjJtZUy88x6+CiGr8aVxO31Nac5/jc5tkQGlRBixIlx78xdXPybFOuqTirrB9fT+cKaZ+hbniRt5nD/vHXQ278Quvv6V2lMlhXCANAZHuIvb/4DfXaSomeS0vNkvRAzwoN8YeNT6gGV89yO0DCfnvMyIBQacjO7suoURS/AoF0lsnMMEY3RFhzB9XSV5WVpFbKe6EplMdBnJ6kLTBDXi4w7ESIB0ckcyTezKHqRMqYKDzR8t+iQYavAwUstymURkXHEHNry098laiTNs/rsJG2+UZd1SaER8bkiui8htj2DpDXV1Ql0KKgOCukkKnON0lZWqc/kdw76c3F5+F8spqgNZIn75MmQVuFsqZbzhRTLE+fRmQrs++OZRXSkRrmm9pg6AHZlprH9wBw+fMWrzA2J2bnj6nz7xEayo1G+sOYZNfc/lG3htRcW0ri6jy0Nx6g1hafKfxzeQOTVGKvu26ccrocrcV76rzXkW+Bj73xG2MY7YX56djXJr0f51qc28+n5Lyt/l7PPTSN1wuHwFwexI+IeHcy10PC/Q3Rtbse6/QBVugipPXCmhRmPFamsM1Th1RgYJ3ZOEO9zTohqM0/SKBC1yhQcCJu2Qo3SZpbJaWXsmEWdNUHO50xsTJ7kn26Yx6IFZ5WXUUQvs+GKI7zeNI3N8R7FjegIDXPkU91MD2eVSSieyTtaDtP1j7W8u+qMcu+tNvPc+t7thHSbajPPWEVsxlfVnITPnFQjDNsRsRH/sPxxLi5KKYVUXBcjja9u+R1JI8/LmXnMjvSjax7Lqi6wZFG3749TZtARaOm1tUfViKHkWmQqEdJWlg3VJwHBkyp6Jo6rqWugksh9NaF0ipYFglRXAerQFmMai47AMIcnW4TQAEMROeUzJE0Ve+3qy7gNUroNMundDxf1CwKJcCiemT+ulYeO3DNkEyQLCdfTQBP8q4wjundp7yCJ5AN2AsuS6FpFfU7lReW/X861OF9KKw6VdD/vKtaRc4I0BCaUcinjRNg2OovliQvMCA4w7gp7i6PZRvZ0t/Lu2ftUPqOBy89PryIVLXBX81uAGCOdnqzjmYML2LLwCEtjFyh6JlknxH/tX4d1NsT7bnvlMsPaZ39yBRMLy3xitZ8p5QT5z90bqX/FZMZDx1mdOIulVThSaObodxZQrNG450MvKHHI831zif9NlN9+ejlfXDao9q8Tr0yneWuRM/8jzaq4II6PVSI0P2oxOieMM0NDRxQAXUNpmrcXOb86BWkxsiy4QfTBANEegaCmdVHA6XhUwhpmoOKPb0R4bX0iy+DSKtZEMmRdIUixcMmtKZApmsR8k0PH0ElYk2z7IMxrP4eBq4qEG2Yd4c1/aONGv9CQopsr79hH32SCzvCQQt3WVnVh/IVHvW/TInk67+/YzYXPpmgOjikLE0tz+KcNv+PYqiaC/pqV8vR/vvbXHCy00WAJl/Zeu5ppwSE+es1LqukxfGPM5fHzXLlKnG+ySbA9g5VV57kxdYiQbvNWfppy/7+m+ijSXfpSU8trqo8yWomJZ0PT1fMzLyJQWekbJXMtxfkUoegjcX+u19t+NBbUp5KH5YYr+RXVZp64XlReQpeGHcrNJm5M+mMU6fwrJJsGnjK2ihlF5eOQdUJqs6u3RPCdJHRKWLfBGkfHo78kfD/Olmo5YdfxvtodDJeiFPw5fsYJqzn2pZ9t2JfpJ8yCmpePVURxI032QppIoD4+2aigY0Hm0zlRaOC18ZlqdCI5H7+5uIK9E23IfC+Ag7kWvrNzE4fzTQDqUPnO0Q385+ubKDhBRbIdrUT55S+u5lt7N4vD1d+gn+hZyL7/sYQX+uYovkfRM/njU2s5951ZjNmigCs4QXJOkOqfxTj1egcw5UHyVk8b7U967BjpVAoH2zNwdlVT94rFhVINRdcioFXIOwFqD7j0jlYp+3vbM6jYBkbJI2aUiPp5bJbmMDEdyo2SCC/QrCW1PZx7R4i1LecIaBVk5lzTNReZuHeChmBGfY41VV0U/2KM1VcfIW4UmfCtBR5auZW2b5xmeeycWkMl1+K2B7byiZufptEaJ1MRsRF3NrzJzZ9/hTsa9voHqpD8f27Nc/zlLX8g4KdjC55RiM/c8BS31e/D9uXaJddiY/IEf7f0KeWSLYuvOxr2srrqjFLDFD2ToG6zNtF12SjRwKMtOMLcUC89ZSH1lrlnkhAp13bWDQmY35hUYyZJDh13IpwqNdAcnAr8lc9f7pJRQ3tgmJwTYtCuUu+RMnOqGJfjD0medj2x1lsCwlqiz04yLSjEAUoNeYkXl+Cn2IpvYnsG/b5ZnqU5Kmdw1Ceyyuah4ATVCFSoXab6xaRR4NRk3WUeUgYuZyZrOZhvVQeKfGb/2L+EE4UG9bMOGnsn2vjh6bUM23H/+RaNzrf2buZX51b4SjhBFn1ycDG//sNVHMy1+L4wosn54fOb+PcnbiTjhIn7fls7xjp59usb+K+jVwpE1xOcjN89eyWvf2+FKuQyToQdY52M/k0733v+ai7aKd9oVGfXm7OZ9j9d3hptI2FMsihyAQed8O8SZH7fxHAlrhqdgyNN1L5qsaNnmnCSN/JidN4dInlSBPrqmizWTMyCB66m7kVQt4mlCmRbdToiIyQMMSpMWzkG11fILhFNXpM1juvpLEj1ceL+EFd0dmH4xVFQt1l3wwEGPz1Ja2jMR77LzI/0kHzkAivfeUjx2kK6zR0z9xP7cg8f7nzd30NE8fnA9S/wzodfUR5VluYwIzLAbR/axoMLXlP7YUizub1pP4/c+3vmxPr8s0Dc2y8te5pHVr9AxChxplxL0bOYHhri71c/wQ11h9XzD9ARGuGBadtV2r0sZNZWdXFVzUmF/oIQACyPnaMlMIp0m3c8nawTYmHkoti3nCAyJ62/khA2B2ZBjQ4l9aAlMMpIRfivxf3xfcLPNZPfQ+4nMupJoo3yDBt3IvTbCSHwMApcKNUIY03PUvuF5GVJt295TeV3yrohhipV/vc30f2zSPC6tMtG5X+O19seEQrrZTL+BZfeQNJzRPeEH4euuTSaWU4WBeETfCKrF1QeI9L7Jmja4gBzIj5XIUjEKPsk3gSWXuFCSbiBzo32+VC+cCF9bmg+yUCBdcnToos1SgyWq/jtsWUMzYjxsdqttIbHuFBKcTwzlxNdTdy54k2mBYdAE13Yt7deC8BnNj2rDpbThTr2/GgRmSuLfHqZ6LZGnSi/OLWC2h9G2PnxMT40bQcJLU93uYZXfr+cmmMV0n+TY05YfMYL5RqM/1XDvmWNLLynR+Vg7eztYPZ/Ftn6+ZksXXhBSTs5FKfurIe91vALpzJdxVoiAx6F5oA6VAASwSK9jQZNwaLqMENaBWNOlsHq6GUBmo2BDH3vKrOotRvX01Wu0btn7uOlT8zmpvpDuL4bbUQvceudr1FyTRoDGXTNY9yJcGWyi+6/HvX9bTzFS/j8sucZXRQjZeY4XaxnVqiPgUqCT934NLZnUGPkGKtEqTdzLI+fY+UtZwlpZfp8/xcdj9sa92M3GIpYLF3JP9S+AwexOcmxRMrIszF5nGE/HsPSHAK+XxKI+9kSGOFCOU1QF55MRc+i2RpjX6EdS3N8srGO7RqkzClzM1c51EZULMW4IyJTJH8p44QVaiALZBtDQdpRvcTZUq3vwu0pRHCciDJOlLEl0hNHbmhy7CEKcEdJX+XICLiMhCwVKkOVOFlXOCSf97+35U2pNUEUMIMlkRZvIYrhghvk1GQ9o3aUREI8T2lTREw8dmEpa+rPcXP0NE+PL6bGytNVqOXN/lYemvWqeub7Swm+s28TtY0Z7mjbT0tglHEnwqtDM+jb2sKKmw5zRaJLqBGdKN/+w41oLnz09ueEYaSR45f9qxn/X21s/WCW+2fuUOt262PLCQ17JD9eoDk4RkizeWpoIc7f1vKHu1v47OanFR9i5yvzaX+uyKmv17E20SXGoOUETb8PMDY7TGFacOo7D6dp3FHmyJpGlsfPq/cLjujotlCNyvFjyKhQSmhEQqKIUg7QsyYYTUaJ++iXg0ZLZJx9t8xg5uKL6ndWm3luW7+bJ+sX8lD9EUKaGAvWGDka7j9LVWCSRmtcdfg3Nx/iwEfHmBkbpOAGSBk5YkaRd17/Bsb1Ls1BkbFlYzA9NET64VfUupJjzI/P3kZhZtDfs2JqjCZjb4quJbh2TphF0YvMXyeUerLJCmllZkX7WTLrAiXXotacYNyJcLZcy611+wEUcu34zvUbak75yekONoZv+jpJlTXKiBNTSHZcLzItOKTMYSVyWPRMcLnEr0s0yBlbiBeCmqP4oWKUOaXYlI7a8iW9py5Visr7ASj/O8mjlN/b0AU1oqtUT501oUZujq7RHhCBqqcm65kd6ffHuqYv5JjiS8pnV6CQokGVe5f8N6qI1GxBNwAKnrC36C7XkDDFeh+0q9DxhPu/vzdFjBJdxVoS5qTyFBP7XoC9463MiQ9QF5ig4ARpCoxxKN/C4fEmFlX3UO2N/H995v9/83rbF0K7xjsZ1tLc3HhIoSIRvcS/nthE0HS4s2MPlubQbI3xWmYmv9u2hpqZI3xo2g5Cvnz7pcE59D3ZTuPN57mp/rCScn5/35WkXw4y46PHSfvE44Ib4NlfrSU85NH6yBhtgWEulNOcn6wh+0+tnF1ksey+C8R1YR3/Qs8cZn69xPMfW8gd17zF4ugFXp+YyamDrbQ/73BxnoAvpbFh8rCOE9QoXmVSdEyRR6S56BVwC6Y6dBLGJHVVOUbmJJgVHxcIDQEsvYK3fIKL08LcHhpWiz+ilxm4v8iM2m51uNcYOd7duY8/fWUBH2o94B/IojC8845tSoGRccLYusHCSDexT8tMH0MVarc17Kf0wBHFs5AP3qfnv4w9z1DwP4gN4IHFr6pRRFwXLt+N1jj3tu+kxshR9gyFxswK96vk7IBWoYBQcM0N9yqFjFBuiYet3spwoVyjNiOxEVRUblvRtZSs1qJCX2XKIFJxSuCy7gmgyRqj165WG0rKyHG2JDx90uYEF8ppMoiNTbyvUIDIokD+HtfT6bdFRyeTzIVbco6tE3N8SFlThaDgXIiuzkHnfDmtFGhytFlwRRRDJFhW19P1dHZlOxV3SaAturJtWBy/iK4Jb6eMF+HZ/nk0RiaUxX/GibA/28Kb3e1s6jjFktgFdch+543NxGtzPDDrNUWW/uapaym+mmbV7QeZHxNxDUHd5l+feAd6SeM9t21VY6o3RjsZ+PdORt5d4BMLtgKimHr2d2uI9XikP52jLTiKpTnsGptG4isRnrhnOQuv7aY5OE7MKPKDNzbR8SebC9+oIWEKUmxPMUnHozC0tJbEvQV1P3tGEzTstTl1ZS0L4z3Umxn67GrM/JQUWt73mFniQptJVagkeIHoYvS1qEA+b1FtCYPWomcxr6qfX3y4jeUzupDSbAOXNZuOcHxxPTfEetTPTg8Nce7T51hf1efLxvNAkPfM3EPv15IsioqCJW4UwYH3vOfly0ZnM0L9rEjA6ofP+mtVHNZlz+RvFjzNhBvG9TR17+usLA9e+wJN1rg6fHNOiJWxs8xe0i+I4H6WXEgrc2XNaerNjEJMdc3FdgOsSJxXo8GiHlAiCLkXRvUShueqw1NwsqaKY4nISMPVkqer/K2I7/p8rphmVrhfyP5dA9dvOC5Ncbc0B3ToryQuMaQ0RM6Xl6DgCLREvyRvUvruAAS0inp+ZQSIo0/FfzieoRA5+UzJ5kbuIZZmqIbjUtfwgm8O2BQYo6Rb6nrJPU+a+gL0lZOUXFOtWek6fq6YZtIJ0BoSSs6QZjPuRdg33srcqn4aA+OKCiE8uixhkHoJqvri4GwGczHumf6mGmNnKhG+c2gj9TUZ7m7do9bUnlwHL7yylLZlPdzetE8V5j85vYbS7hRzrjvF9bVH1Jr66etXEjsrwoEbLSGA6SlVs+0Hq8jMdfjYphfVd9w+NIPSNxr59V1t/OXqZwBBDP/DkSVM+7HGkw9W8+H2l/9PTvX//tfbfjR27I+z0f8pzZFckzrg9+Q6SPykCvu5NAVHkGqPFpvJ2kGmPV5m7HDaH6cI2Hp0MkLNoRK9E1V+LINY/J6r4emga56CgHXNJTfLZmwOSuUR0ctMCw9z7k6PwPphZG5OULe5ruUY5//GYMuyQxwutjI/2IuheWxYc4SZfydcjYueRcaJkDAKbLj/TW770DYSxqQycFsU6+auTz/P59Y/q7J2ck6Iu5rf4uGP/JGNqVM46AT8h/iDc97gyxv+oKTeEjX4+0VPsjl9XP1d3g8lvaNtH2lfVSXRjKBWYX64Wx3scpzRFhxRvBU5UpAKCqnskhuVJDCLWFqxMer+CEWObwZssYnpmiADOmhKXgxio8+6YeJ6kbI/ChGka0EwlyqWtJVlwBajyEZrnDprQsmZ++ykCqNMmXlfdVVRXkFSPXYpb0z6e0g/nYt2ChlVAjDso5CHCq3IcFdJaDxXTHMw33oJOVZsvH/sW0x3uVqNQx10doxN55tHruFMqY7poSFcTyPjRPj+3nWimPff30Hnib7F/OAX13Mo14zIsBI+MN97YguPP3EFw3ZciQZeGp7DgS8v5T8Ob1DyfNszeOk3qzj27fkMlsW4Km4UOTDRgvcvdezeMYeiF/Dl9QVef2Mebd/U6J+ME9VLpM0JxuwoLc/oOLurxeHoWiKKomJQc8jm6Fg9luZQb2UYq0QxihpGURzwcn3GrBITHQYNSWl0KjpTb/kEgxttwa0zJsm6IRZW9XLqQYt1K4+pUUnSyPOuq3ZS/PwYzcExdfCtSpyj+q/Pc9Ude9A1sb6Dus0H5+5k4z/t4H3tu1UBqWsu97/vad77HhFzU/TDX7fUHOHDDz7Fx6ZtU6MDA5dPLX6F+1e/Sq2ZVRyvlsAon1v9POtSp5WKyUFndeIsD3Ruv4zwb2kVrq09ypLoeVw0Rh0hlY8ZRWb5ieQSUQCh3JPeTbKoF2GmphpFyBF7Z2CQV8dmYftS9qBu4/piBumxJn1uLtop9WyNOxHBmXPD2K7pF+4hNeoELrHPCDBWiapiJ2kIBGC0ElMFuXiWTLW/SIRAfnb556IniPRyb6628mSdsKIkSFQlqNuK91lwBZdFFg5LI+fYk+3gYKGVkG4rT6ucE+RYvlGNaMW/DdJdTrE706FUnpYu9tYdY53sy7Sp51rXPAbsKn50bA2nC/WX7GVBnupfwHfe2MypyXq1LwZ1m+/t2Mj3912pjBBtz+BQtpmf/+RaHruwBEBJ+H9xbAXPf/tKDmWb1bV1PZ2nH13L9l8uF+i2btNrV/Py8BzGvtXOoweXKa8zwRktMWzHLxttF9wA/X9qI/rTBGN2VPkA2Z5Bwx8CjL3WQNEz1do9OtZAy0s25/pqiOuTFD1R+JUrBunDFcZKEWWnEtIqaJ6GXgHHX+MhzSaoV8i3eugpgVDKcfTMqiF6N5i0NI4qXl9EL7Fs2gXO3Gmwtu0c2v87GvvvfenrxzizOM3VkSFAcAiSZgHtwUE6QgUVgBkziqyuPsuur8DmxEXFryi4Ad7fsZuur9cyPTREybXodUXn8LnVz+OuEgeOtKoH+NK6JxU5Uj6YtmfwhTWi+rU9k4IjNoe24AifnCcUQYcKLfSHqripej8/6lvHDenDGJoLLmRcEY2wMNKNpVW4UE4rrx28KU8LcWiU1KYl4dmg5vi5XCLuQ0pmJccJT2dcGUuKA0l6kUgliPShieuTjBFVIx/JZ5CkbPA5WXqZvnKShClVPiFFrJbEWOmBE9QqGLpY/MfyjQT1CrP9QEIZSnk028ja5BlqzQlc/30Gygn6y1Usjl6k4AZossYo2ha7x6cxMzaooHx5OPyxbwmbak+qjTHrhtg2MBNNm8G7mvf65FaXU5P1/H7vchbOusjm9HGxljSXn51bzej+Wm69ficdoWE1Xnr0txspNjj87bV/UGvvlxdWov9XLXsf6uOmhsN+YRxn609WoTmw6OMXSZvCuO7nfasJ/12c336kjr9b94RIvbfj7N8+i7bnSxz6p2bWJYRq8WIxRfMTJiPzqgnNnrLuvzBaTcPeMr3XJAglhW9NxCihV0CvCKh63IkQ14s0RTKcmWlSm8hdglZ4aFeMMTAWodpXhbi4tEbGeOv9Zda0n7oMFbtu/X72zmnhulQXeTeI62lMDw3S/fljbAyPqd8b14vc3bmXsa9FmBkeIKSJ9VJ0LR5691NTB6C/ma9LnmbZBy7QYGa4aKewXZOUmePvFz2p8r3kWm4JjPLJlS8pAr+uCVf3RZGLTGsTz7ztmsRNcUBcnT6uvJlcTyfnu3LHvKIKEJaKx3prnLNuHVJ96KArFWjW5xS6ni5S4X30ZMBO+GiJiWEI6bhMfc86IVJmjpSZw8Dj8GQLgB9YG7yEYF1WXDyR4B7GQafBzHCmXCsUWv7hK8mwQ5UqNX4QxnUTDFeqGK7EeS0/m4XxHoVERPQSEUtwHfEM0FF7VNEJMuzG1WccrcSI+xzIATuB60vLLa1CwpjkXDFNwpykOTCmLCT6ygmO5RtpD4+ovUGOkuWoBU1481wopXj+why2tB2nIzRMzrVwXI3fnltOJhvmvfPeJG1lcT2dAbuKx15cS/XcEe6dtkuhzj89s4Ly6zWsfudBlsSFceC+QgevvrgIY1LjtjteozkoRl2vT8xg5FsdvHh7mU8ve1kZDP77zs20P6aR+0KQ+roMEb3MhVINpx+dRb7JY/FN3UqC/2LvbNr/l8YzD8/jkWUvKr+hi28107G1wsSisCpwM5UINW8alFImw0vjJHybEdfTiF90GZ8UxbSUreu6hxsASxdKPxsRWFtor6CVdMXrSZk5ZscH+N21bcxt60cFznpBRp2Y+n3oqFH2tNu6GC1GmB4aVI1cSLeJPdTN6kSfUlNamsNNTYc4/dU6NgQnlM9YyszxhfnP8cTnlnBNzTEcv5CK60U+tH4b1gZHheTaiFH+/Tc/758ZopAsuEFmRAZov/n5S9a5OA82pk7xjqsOMlqJUc5PFcl/jtfbvhC6d/pOquKaTzw2sDGIGGXuan1LLVYHTeTIaBXWpU4zM9jPiWLTVB6W5ihH5AE7Iazy/YNVGmkZvvdL1gmRIaIs4S3NIeOEFc9Coi+hSzbR08V6EmaBarPAmVI910SPkbAEibveyihit3RjDfmEyVpzQiU0S/6F/D6Agr37ykkaA+PAlHFXr13t/87LzfvEJi5GLZZeucQ5eFIdHlLOf6GUUiMK6b0hO1a5YUrX1Me6l5IKF7ipXo4o8/z64nJ6z9fw3tU7lfptwK7i5a1LqCQrNKx5VZFnd4910PvTafTeleChjlfQPZeiF+B7b2yg5k2T5k8JYm5WD3Ms38j5f53NG5tm+ipAUQj++NBaOr/t8vyX53Jb837loJr/dSNGyaPv80lmhAawXYNjEw3M+GmFw3e1846rDypl1uDZGlp3OAxvjjE/0kPZMyk4Aaw8lItT3KUiFolgkZ42g9khcUCl9Jw4fFdPYpgOxycbmRkeECTJurP87uGlbJl1hJSR40SlEUuvsH7TIU4tq2Vx/KIiUXeGhxj/3AmuCI+rvwvoFR6Yt52+f07SFhxhuCLSzOcE+7j3tpcvi3kYqsSZER5k0UceV8WK7NK/NO9pBuykX/AINVljYJwvLHlOkT0jeglDc1kTP83ViaMiFdwVhPXm4Bibq4/j+Ac5oHxtJOo3VhGHfWNgXNkpyINf11yieomcJ7xqbNe8jFMhO3lJuL0UVRACB2HIJ4tfefjGjSLnS2kiRkllZQ1XglP8P0+MmWcF+vnj+DIaA5nLuB2ymy1hqcLIdsVB0GtXqzGxHAdfFz/E9sIsThfqMSKe6nzFHpJkuBKjzppQfBnhDxVWxdWlhVdPqZrGQIbxSzxXuop1XJysZnnivEJkDDyeH5xLe2wUJ+I7MAM7xjo5PlTPHdP302gJt+dRO8L33lxPJDnJg3New9IquOjsHuvg1HPTmX39Kbakj6rn99uvXEuo3+Cj9zxN0ihwbLKJcTvM/m8vYXB9hc9d+aziov1uzwra/wDZv+5iTfKMuk8SMbddi5Kn43g6z56fS923w2x7ZAZtHaNqXFN8NU3NRZfCnIDv3pxne34GLVsrXAhWwzQxrjTwyBWC1J5x6JusYlmVS0IX43rPANdCjZkMzaU2lOPkPINkMq8sFSJ6iaaWUS5eW8dt8QGFlsSNIsa1w8yOZxUSHNJsbmk5xK//chm3tx1S6y+il9ly9V56r6hiUaxbNNFegJSZZ82De4mapUsQGpMVifM0f2FcOWpLD7J75+zGnm34zaNBvZnhQjnNh694lTprQhW6BoKD9bmrnlEcHlkYC/NFgYImjYIIWHUi3Fx3gLgxyZC/N8j1tqXuGCkzR9H3jWq0xrE0h0WxbmW4CgIhjOolliXE2Fy6SSvBkK/wlfdY11xiepmecrU69xw08HQ1oheNueBdyYDkS925/1yvt30hNOkGMF1hXNdnJ9F9npB8OCUXZbQSVZ1Hv50U8Kg/oglpNqNOlJSRV4GmEoG5tLhx0JV0PaBVuGDXiALEw4epPbWBAwpJkptNY2CcE4UGBkIx5sd62Z9toT01TNG1cD2xscmRRWMgw4gTQ/ch6scGllEbyqmHMOuG2J9v4/kLc1jffIa54V41Lnq0dzlnTjfw3jVv0BIYFVBruZrvb7sKL+TyqSteUMXPq2OzOP6juUxeP8En5goeB8C/bt9C3esGow8d4YpEFxFfzfaTxzdTrnV4aN1Linz7fN9cqr4a5dj9SW5r2E/GDRDxTPqP19H+vMPEcuEfMmBXUXJN4mehmLZgjYCiZc6iE9T8jCi/U7bDGHGbYtpShWdUL9EUzPDSaqhqzF7m8LqotZt975/GvfWnVFRAysgTuHOAgOEIJ2mfEHlN7XFe/ArcnewmqpdEVp0b4GMbX+T0yjo2JE5SdC36yklmhgdIfEjMtGXBW2tm2VJ3FPsjJ/zCteIruSp8ZumLl/kpjTsRFkUu0rZM2C5ctGtUgb0kfpH1yZNCJaI2jhJbUocZrlRh+yNEqQibFer3D2ox0+8q12HpFerNDIbmcb6UJuRD7g7iMJJuviHN5thkM2krS8InLneXU7QFRy4jUSb89HhJ0s06YQbsKnK+ghBQUn9VZGmuQgNk1yh9S+RaiyA8aaQJX9YJ0xQY88myEYU4yoNfEkynQoMdlW9U9ExKjkVbYBiAI4VmGgMZMk6YHCHqLE+hhAYeR3NNLI5fZEd+JvMivRi47M210zuZ4IrqMxiXHDR/uLiYWdWDrKw6r/aB54fncmYgzb3zd2FpDjsKMxmrRHlqz2JebejkoVmv+kZ2Ho91L2X0uSZWvvsgK6vO+iMJj1/8fjOe7nHvbS+rz/b6iEAwBu6a5CtLn2TUiZKpRHjimTXU7XFJfzHP3KiQIp8r1lD8ZhNb17ax6PY/YXsG66In+Pa2a2l72uXUX9VRVy1Q3e5SNQ0vmWSmJ8jMDKu8wJ5sgvShChevqMZJ6zieQEL1koZRFgh3t5NiemiQC1oNhXqNcPWkut9xvUhDyyg9V9WxPDSunjO5Z8rGSyS8m8ytHaDr0zXc0Hxc8IZc4dW05o4DjJXDTAsO+dYHATamTrLrSzYbIyPKswngwQWvMTonSr0lbDLQYW6ol/fesA1Lc6iW425THO4z7h5EmGiK5zrvBrmm8QRt7TtUYyFH8++d9pbyaQKBuBuayyNzXvKjXyKqwJ4RGWBF/KySyIufN5h9yWhT1z0cT/NpBKPKw06O+Cy9Qlwrqvs/UBEqx4ITJOBTISTXMqTZau+OWGVfpSck8JJ3JWkEEv0ZqlT5z4xQRSdMkYuneJGag+Hv24buEfAVxypiw78/EokElKGnFH+MVmKMVqLMCA0wWolRbebJVMS9kuetRKCLrog0CmkVQaXw10jJ/fOWJm/7QgiEsiZk2dRZE/SVkwoBkqMaEIZoEmHpKydoC46SMnNkfd+SAxOtLIz3qEIA4Fwxza6hDrY0HlMbdMKY5LHeZVwcS/KROTuUFHbYjvOTfWsxgxW+sOQ5xfvJVML85DfXYq4Y4/6ZO6gLZDlnp/ljz2LsH9fz2iMlFkS7lSLp6d+tJdrjseUzrwmGvulytNDE6D91cGKJxez3DqgN6afnV9PyZXj6kfksXXlekTsv7Glm+rMlTi+sJaTbIm/MM0gd1LFjBqU1FhGzrObWVt4j7+pKaeF6OpHaPBPTEkyPDBPShfdOzChizpsgHZ2k3swwUBFjgqsbTvCzT6xibXuXCJH1M4HetXEnBxY1q40CIGaUWP6BgyQtoaqTHf1VNSdxHjpFZ0D4a4xUYiSNAl9c+iwDCxJE/cJ1xIlRb2X4ixufIOB7FUk11t0Nu9lQc0rBxtL+/4GOVyl6AaXMkM7QN9QdQddchS7IKJZUPE/eDTJsx5X8VRIEHXQKTpAhpButD3lrHkV3yoBPEjWlSRvAoF1FnTWhUIWYUSTnj4FkAK8yE3R1X5k3SdZHO/HRHZhyqhXd9CRdpXqWRs5jewZpI0tIE6oPF803+/MUJ8j2DPrKAlmqtyaU+gylDgtQhYDRhypx36nXIGz4vA5/lJXxU6unBYfIuiH2TrQxL9aHpVeQeUtHC02cyNazMX1SITcFN8AvulawqK6PdclTCiF5rGcp57vTfHjFa0oS31dO8rMXNxDsyHL/nNfV2OiP3Ysp/KmBJe87xIqqc9QFxPf41a82gwbvvfsl9ez/pmcFpf9s5K33trK+5YyyvXjhyZXUHHY498UMC6I94MGRXCPRbybYcX0tV9zUpTb00/taadjhcb6zhllRUYwWnAANr+oML05iz5wKmB2ciFF90WWsHFZj7KJnUgmLol8iYBG9THWwwImFBtNqRyn7BUXKzJNePkB3Y4obguMAtARGGLZjDH2owNz0sCKu753s4J1r3uTI3EZWJM6rdTcjPIjz6QPEjJL/fJhYXoV3te8j85Uws8L9jDsRFej7wPUvqPUnZdozQgN89ANPAfg2HiIL6562t9DbhVN5SBeeRSF/5CgbUEPzaDBHSAfzXNHZpdCdgo84rqw6KxBef7xfpU9yeLKFZVUXlA+SLCIkX0p6XLk+9ymk2ypQu+Q7QotnuIB0js9UIlh6RaBzvmu7vPaSaCxNd6WSKuaHztre5bYKQ5U4o5WYGjOqxsH33yr4aIfcFwA/zy2svOKkAexYJaqI233lJCBMQkNaRX0nENJ6GR8l31c9/0ARsT5DfljquWINzcFx36pCUDmyTohTk3XMDA+qDLRpwUF+2beG6mCBFVXnSBoFRhwRdL1jtJPO2DCd4SG1x/SVEzx5bgFb2o5TF8iStrIidNkvnKQ6WwQ3J/nBW+vQdI/7lr5B3I8+OVZo5OWnl+HMLHBXx/b/O0f8/+PX254s/WT3Qn760ga6yykMhLFUphLhxy9cxaOvraYzMMS8kFBvXLRTPPbdzfzx+TV0l6sZdyIkjQLPDcyj72+m891965VxoIHL7/YuJ/KlGE9cXKjGXBknTM/zbTR+J8iZydqpED/PoOEZi/grEb/rFUTbgVIVdftscj2iUg/6RUXQrOBaGqPlyCXKBIdCZ5nRBWKzlNV+a2iU8++E4NoRPzlbdO93Td/Lub82ePfCvYo8aWkOt127k8Df9rM5dVwl2MeNIlseep2b79vuH7ZC0fHO9F62fGE7D8/fqvxcbM/gobmv8qm7H1cza4nGfGD2Tu5u3QNMjTESZoGHF29lVXJqcwtpFTbEj7Ol7hhjlaj62ZBuMyvaT3NQcA7kHFrXXOaFehRZWhJHbc+gPThM2TOp0ifJVCKqc5fFWcEN0GBmyDphBstVPrpWUchDxokqPxBZhMjOK+qTG8X/qzBcqSLrhgj4+UmSZyWLKFlMSDIpXJ5NJDcq3XdMlpvDaCVG8JIEaEHKF38ueuZl6e62J+Jb5LWQYxHX0zmYa1F/lj/75sQ0jkw0qus7aFcx6sT45ekVHM42qZ8brcR4ZmA+/75vE9J7xNIqFJwg//Gn6/i3Q5t8NC7PuBPhX09v5if/cSMHMs3EjSIpM0/JNfn5b67m2z+9FV1zmRYcQtc8nulfQM+XZ/CTY6vVwTLqRHnqqdVkv9HK+cm06mJP5utJfzvC7lfn+mtZmAh2H2yg+SmDi8Vq9ZlH7Ci1e6B8qkpdW9fTKFdMQiMuWTsoOmcfmSjVuJRqXMVNK7gBZlQNMbRUZ3pqhA1VJyi4Iipi9uYuem+uUGUKNVvcmGRZ1QWGPlFg4/pD6v7qmsuNG/fQ8Oku5kb7qDdFHES1WWDlI3t495bX/TG5aEQ+Ovc17v67Z1iRvKDMTVNGno/d9ByfvPlphUbnnBBrE1186b2/YU36LAU3qGIm7ml7ky+seYaIUSJpFAS3yCjz+fkvcHPdATUCtz2T2ZF+ttQdU6Mp6TK/KNbNvIhQ8Fmao7zQOkLDOP8HUUPKyJM2s5chgzK8V94LWThYWkUIFMwseTfIYFl4PMX9cOqIXma0EuNAsY350R7i+hQCIhPo5XMlUb+QbjPp527JUeKlz5ccr8q8LdszlfdV1pWIpyCKS2Rcoh+1puAtSuK4/M6WJuJdMk4YFbCtiYlAdznlCz004j466no6R3JNingu1ZtnS7U8NbBQRWCkDMFP/OnZ1Wwbnw1MhclmnDD/fvwqTuaFqED+rteGp/Mfr1xDV7EWEAUUwL+/dg0/2LVe+Enp4vfvy7Xxs19cy38dvdKPQBKF0qMXl7Lr31bw/MBccT/8ycgPXtrErn9dQVex1lcF6nSXaxj4z2nsfHohw3acPfkO4vokezOtTH61iWdeXqHOpKJn8rsTS2j6J4MnTy1QPnRy3FtyLeWBlPHzLtPbLVKvC/S47IuSJh2Lun0V9LNh5f/353q97RGh8bfqmPlSnqMrGmhJj6qDPH5WpxISo62oXmJeqJu3Cp3otnSTNSm5FhNamOlVw7y6so32xh7lt+Kgs3ruGXa/bxb3NO9nRnCAE8VGQrrNjBu76N8YpzaQVXPTacEhOj55Atd/cOTI54rEacJ/b7MlOE5QF1lXGSfIV6f9kT98ZvllJn9Jo8An1rysNkoJp8b1It+46jecKdfSXa4h7mdB1VkTfHGhL090w37HUWJJ9AJ1AcFPyPgJw53BQbVJyUM9opcZcaa4DDJEVHZiSbNAn50k4gkzvLJnCrTH32gkGc71C45LlSK11oRv7BXCvSRRWip8ZIeUqwSpC4hRzUglRki3LxlViUJCZm6NOOL/yzRo2XlF9DJnyrXYrjBrixtFThfrlc+RcAg21O+zfCJnxg5TLItsINn565rL6UI9i2IX/a4/SNrKcjDXwqRjsbLqPNKBua+c5MXe2ayovciMyIAqZJ7qX8jZ/jR3z39LhaOOVqL87IUNVM8Z5cHpYowy7kT49fnllF6oZdV7DrA8fk6EUJoT/Nfvr8MoanzgnucUwffJvkU4/1LP6x8u8MDs18TB57m8+vwiGndWeOMfhpkV6sdB57XxGdR9J8SeLbNZfuN5ZFZV1/EmGrdC76yE8i3qLSWoOeQxbEYozjd9SbFO0TaJjLsUnamwy7SVo9jgoJc1pa6LaGVmJwZ4bkMrsxsE2R8fBm9Y08fFadXcGh5iUfAif5pYQmMow6HPTLCqekilvluawzs2vcXg2jhzo33q/TpCIwQ/t0t5Ucki8gOdb9D3haTqeh100maOL9/8KOdLaWF/oAGezqr4WVbdfpZRJ8qIz38z8Lg6fZxra48S1ycJ6Tb78+10hIZ5YNZrwJSazfU06gJZFkfFmsg4UUHoN0VSuUIf/TGGobnMDfVwutSgimRdc1VHb3smtmv4RYtQpbUFRvxGpqLGnrIo6bWTwkTVtH3Suq4QTPE5p7yj5OhSEr5ltIeFGINKnx/p3i1HWpcijEXMy55RoRASe5eOUH3prkfGN/VsDo4rYYKkJXQVa5kT7sP2TPoqSfXsp3xyeM4JcX5SoGu1RpaL5RqqrYLik1zaaIxVomwfmkFbbEw9IwC7JjrZ1d3O7TMOKI5kXznJL46twDRdPjnvFaGE8kz6SwmefG41dcsGuKt1jyL3/uDAFYSOhrn1ztdoDEiD3BhP/mg9hWaP+65/hYgp+FzP9s/D+5c6Xruvk4cXbFPK0988v47W58vs+kqBDdUnlarX+nmKg1U1zPlEP9VmnoBW4cW+FTT/o8Er985n/bUnGfVi2JrB6RONzPhNiZ3TO1jWeY4JV2SUJQ+bVCJQWBXEsMSZMlKKUnXWpa8j7J81IkrIcYV/f9i0/QmD4Ah5qTLZthDVpshV7LWTAPRvdLESkwyUq5gfFWDBrNggv3p3J+2d4hmUBeOW6Sd49tNz2TL9OJZWYUnoAo+OrSRmllTxKRVvCbPA7PuPYelCPSonD/NivfCXcFO0Hyc/dX//HK+3fSG05YY3OXd9C5tqTiryZsrMs/mDO6kyi8T1IhNuiAH/5m9+cKfPYyhRcAMkjAKLoheZ9f5+as0svXbSd6ONcXP6AGuuETlNhydbSFtCOntt7VGonXKwlgfzldWnVadt4Iq5dcBhbrTXl9cKtcqYG2V/sY0rYyd5MTOfhFlQZmzSUOtSl1J0VFHUEhBGVBIVKblR4j68KsYeYs5bci0yRJQEv9/PHdM1F8cn3Fm+o3LBDTAzOMBb+WkC5sTDRmPATtBojQNTrsJT6EcFxwspz6VhO05jYJygJiDz06V6HwKO0BjIKOTHdk0O5ZspOhYrk+cIahUf1Qnyw7NXcEXDWa6qEiqu7nKKgXIVO/vaub3jgPgsuuhIv3/kShqrJ7ilcWc9UwABAABJREFU6aDqWk8V6tj+2nxWrD3JtamjasP85lvXEjgX5D23bqMlMMqAnaCnlOTlH65hfGGFR9Y/B0DCyPO1AzfS+NMgJx6p491Ne4j4WUu7fr4Uo+Sx8pPnFe/rrdE2qr4W46n7FvHIlc8r4mHPy63UnnVx501lrXUXq2nY6dEbrMbunIpyyE0GqRpyydji/kZ0YfDoBKFcPVU8Ft0AW+qP8aNVLcxIjSriqqU5tKzt4cJ0YZA56ojCd2PyJN/6eAvXtRwmZeQZrsTRPZcPrd/GwcXNzI4MqPW/KXGc8CNCDisL5ZBmc3fnXgqfC5C2sjSYGeLGJAcK7Ty86QV1WAukSqMzPMQDtz5H2pxAhLmKAvvuljdJthforyR4MTeftJUlrhd5ZEY3/ZXEZcqomeEBZoYHlLv1pX8vnNgjitTabI0pboqKpfGCjPsp8tIQVRbDsgmQRYQco4jfGyXrulRbeeUTA2LsIMcZctQBorAWQcBlharZniEsGvyxYK9v0glT1hOup6mA0bwbJKqXfEQiop5H2zMZqAhEtdU3AJREc1loF9wA1WZeEJJ9D5yeUjXVvomrfB76SwmO2oIbZWmOKsSeG5pPW2SMBdFuFX1wtNDEKxdncnvnAeXIX3CDfP/ElQB8aNYbigv35sQ0tm9dSOuKHu5p3q3Qmu8eXY++L84779zOzPCAeCYn63jtBysYW1LhkXXPK37NL06spP5HIU59upbbmvdjewZ1Pgeo6AQJGRJdKrFjrBPvb9O8cnsLK288i4Ugtm/bPY+ZPy/w5j+1c0fTCCGtzDBxks9G8TQYnhVX3lWncnW0vljmTG0NepurVHneRIDwsKfQH7kPO2HwDE95ANmeQWNkgkMLmmmsHprignou1fOHOW/WsCY8qgpKXXMZvnWSWLSo1omtGVxRc4ZffiHFje37Ve5kULe5YeVBTsyq45a6E0gzyrg+yZYP7xDGmf71MHBZWNXL9L8cJm1lFTnZBt7fsZvC5wNqvCnjXz62fBvuMl2ZSMrP+Kn1z6vRo7DtiNIYyPCFDU+pSYdcc+3hYb649Fmx11fiHCy1sjh6ge5yjRrTyimGoblsqj7OpVFWIEaQy+IXiBuTnPci/zdO+f/nr7d9IdQRHqY9MhVFEdcFWlJj5YkYwv9F5gsFdVscymiqc5FdmOvpCukAlJxUjl6k5btwKhXVrIwVkGiC6y/IoifMEFsCoz5BrTLVLbkGCXOSATtBa2CEmJ9fFjLE+8mNW47W5GxdElelSkAgTi5nirXEzJKyxZeQs1zAkicj5b8XSik/qFWniCgUXh+ZQS4p+FSyKzxTaGBHXwd3TdsrxmuuyZhr8dszSylOBvjwgh0Y/qF0ZrKWl55aTmDJGB+b9SqWKYrBX5xdgf77GqZ9+CRrkmeJG0UulFLs+8MCrKzH3Af7lST4WL6R0H9V8/gN1czb2EuzNYqhuTxzaAGdP/fY+/et3FY3TNGzOJBvI/V4hKH2GPY9RwgiJP7Hx+roeKrMyVm1rK+2VKFg9AWJnRcooIMIcB2xo1TCoIUcEkaegUqCgUqCabUjnFvVzopwVh209VYGe2OGXElcr7QlkMCr647z/U/WcPP0/eiaq2SoW27fTe9kgmorj+6rRWZEBol+cY9P6I0orsDH5m5neKYgHApyszBg++Q7ngaYCpR1giyOXOCjdzzrFyFTKqW7mt+i1Gj5Sqm4KCQ0nY/P3ubD8aKAaLVGOe+lWVLVrUIyRysxoT4L9/mkSKGGkQhSWhOIx1ClihEnhqVX1MYmiyG53gzNIeuGFW+pwcxwvpxWzYJcF4bmUvZHLRG9TMrMKU5WvZW5zB1b+scAymQv42+uSaOgCK0SybQ9Q+WZpU3hJTVciV8WzRHSbAzd9RWTYcX/kgf9pUWU9IbKOiF6SklaQyIoM2XkKHoB9mbbCOgVmoIZMX7ySaG/vLiKJTXdzAwP4qCRMnPsznbywqk5bJ5xgrVVXUrx+Yt9q0im8tw3YyeW5pDS8/xhYCldL09j8XXHWZU4pw7Mrz93C8EhnXffuU2hSC8Mz2X4Ox2MvSvPB+bsJGWJcOY/Pb2a+rccwl+yWRU/Q94NciTfzMTXW3lpRScL7u6mzpogoFV46vgCZn7L5vmvzuG+9p1+kxcm9EwV5qRH3yMJOkLDAuGZrKLtuRJd6TqKTZYiSJcGIzSedhm1ozQGxDUN6hWckIYW8sfGrigk21Jj9CxsY15E+G+5eCr6Ie77OknEcWFVLz/+cAfLZ57G9YnIBi43rt3Py00z+Uj9UbHvaSJmo+3Dp0hYReqsCd+KIcS16WPs/8cc7646S9IoqMb2Q+u3kb0iRL01ofb1hDHJPfe8RNwn/UsH5g3VJ1lx75TBpBzN3dPxJpHOsrhefs5kzCjyuSUv+NE5MdWANlrj3Dd7l+ICFn2rlVmRfpbELgAo5DqgOWpPlvu+7RnUWxniRlFxvCy/KJMIuXwWBJ/RImFMUnJFftmAnVCFtJTT53zEfSrPrKJUakl//FlyLRxD9597YZuStrK0BEbos6vVsxpT12yKy5jwCzLZ2AsLiqnG4s/xettzhCb9A6HkWspiPKjbSv2VcwRqIdUjIsxRICHSwE/XPMVHkWgMiLnuWCVKwQlSbeYVIjJlFDglA7Q0h9FKlEG7SsiY8dQBdLTQRKYipImCLyIS2H8ztIqEOUlPKQmIg2Xb6Ex+1LUG2zNVJ+mg8c/7rufHJ9bQa1cr87+uYh3P/m4Nfzi7yP/34nD90ak1/OZ/X8PuTAetlti4z0zW8vM/bmL7d1dScIJTKqJ8I+P/o41fPbNBfQ8HjacOL6D6X2O8MdpJxomQMnNUm3nM55JUPxNRhEIHjXE7TPUxl4n+uMgi8q9rxTHwTDD9cVTWCRExyuRmlRmf66rDzsCjPTxC9x0VVi88LYjRODiezjXzj9HzYJl1qS5APFid4SFqHzjHwnccVwec6+m8r303Tf94mts7DqgRXVwvct8Nr7Dp4ztpC4oMq6RRoNoq8K73b+Vv1zxJVC+TqURIGXne3biHB9/1NOuSp0R36pkUPYtPzXuFTy1+xTf0EyNDS3P47KIXWRE7Kwj7PjdmXqSX9dWnuTSvrtrMsyx6Tn3nemucc8U0AG2BEeXUKz03LP9QlnymeivDuXJacT3kpi3XeFC3lQWA4Llp/kY7NdY6XxbvlzJzCq6WztWSGCoPc4n8yecARHEueRCisA4yI9hPwQ34Y5IKcX1KsTnuRKb8ay5xHB93Ilwop9WmKzvjhFlgT7ZDFT6ykD09WcfuTAcJU2SVzQ71EdJs/v3UVezJdaiAVmGQN53v77uSc8U0RU+MiouuxddfvYl/P3yV+ixZN8Tro9P59S8289zIfDVWzrohvvuH6/jFr69WOV8OOs/2zmXPl5bzy3MrSRoFdV93P7GQI19fxKl8HRG9RK05wZ5MO8GvJnjm5RUUPZOkIZQ7z21fwvR/cRgpRX0XY1EcND5r4WxLqbyrghtkMB+jYVeZkyO1RPQSnUGB4AVHdAJZFELloFETzJPp1KlPZEWBW6kSI7ZFY/SuM5gf7aG3LJLcp4WHuPieCvXrehGJ73GKrsV1s4/R/VceNzUf8REJk7SZZcYHTtBw/1mmhwaV0OCm+kPU/cNZPrByh2/GJ9bOfeu2c81fb2duRCSdp4wcS6IXWHX3AR5Ytv0yN+ZbGg/wkXufZn31aVXA6tpUBps8NG3PIG1l+eLap3lH7cHLLBtWxbu4b/YusY41Wz0H19QcY3XiDAU3QHtAeE0N2FUsiV/EQWfCDSvSfbWZV0WzHPFIXpCUg0svHAedhFFQ+7Icz0uFpDTUVF47lxCbQ5pNkzXGhXKNKlay/rMdMUp+4RG4hN/o+pmGAnGXZrLS+FIWg/L3X2qTIlEteU3l55A+XtJWRdoIyO8ppe6SaA4iEsT2hOt2QKtwoVTj7yFixDpcqVKWKtIsN+uEyFQinJkUfCdpXAtwON9EXzmhGvU/1+ttjwhJ75tLfUeyToiJSohxO8KcWJ8yi8q7QZ4YWExHdJQFUeEbVHCCZCoRHu1aypKGHhbGezB0cUOP5Vp4adcC1iw/ydrkGVw/Q+vHZ1czuSvNipsOszF5kpBuc2yyiUefXIeV13j3e7bSHhwm7wY5V0zz5v9azuh8jQdufY72wDB9dpI/nl1EzbcjXPxCNavS5xUn6NDWmbS8UmbXP0xjU7UYEfXZSdJ/ClGsjlCcYzHqiId1tBwlddyhuz1ObJY4cJJGQbg0lyGgV4QEX3NZGO3m903LsGMmaSvLoF1FozVOa2iM52+D5tYBYehWqiNilHjX4r28nJ7J1dXnFCfG9XQW3HuEQiVA0igI52A85sT6SX0+L1A4X7aadUPcN2MX9ienuBCWXiGEzRevfJqcE2K0ElVcjqBu8z/X/E4RhM/ZtaStLI2Bca5cdArdT012PR1Ds9mcPq6KikzFH5l4nlKd6JrHWCXqc26yKj/OQUN3gyofbrQSo6hbypm6JTAibPt9e/y0mcXQXGU+OWAnGPYE5N5gZjhRbKTeygifDs9SMLXsumTBUXItcp7YqOXoNW3l1LUNaTbtgWF2ZIW8W6JACbOA7gn+xepIF6/lZvsFZYmUkSPrhnE80+9GxaY5O9THufKUq7pEsGRhLsescgO2NJFFt2esjY3pk6phcD2d73WtY1ndRTYljrOv0M6sUD9PDS1k3+l27lz6FjGjqBLI/8fL7yDcmOMDs3cq5c6jvcsZfLKVae/s4trao8p47xePbcYowj3vfYmIj4r+sWcJ+jfSvPHgJJ+c+4qyidj2+2VUn3IY/tIQcb3IkFPFc0PzSH81yIu3L2XVbWcAsYb2vDmTGY9OcvLrdcwJ95J1w+ScIE0v62Q641jzHVXQ9UxUUX3KYaIcUiMDAHTwdFFs5F1Bxp6eGGHPqnqWVw+pTjxmFIlcMUxPe4Jro4OEfJuDRfEefvzxVpa2nlReX0OVONesO8CReY3cVnNMcYWmBYcY/MwR4maRjsAwx0uNZCoR7pu2k4NfbWFBtBcHnYv+AfqRu8R4QqqoXE9nddUZ5tzTr/hvBcSh/fCsrWRnCI6kbRiqY//CiufUIWrpgpPUHhrhk3MvKFK07RkkjArrq0+pBlMiBlG9xIbqk2TdEFmfy5J1QkwLDlL0Aurfi6BOkyXxCwphkJlYuuciMwxHnZjiAV56IOuaS9CnGqBLBZZEBYO4hig6JOcJuOyAzVQinPYahITcrSjuY8EXPEiyeEQvMz0wyB/HlxPzydzyu0reoKQYSHNKichK/qE8fwZtYXzp+nxJZcDpJ7fHjCIZJywIxb6tSq2ZpbdcTcYJ0xgYV0hn1g3RV04qTyFAEd53ZzuJGiUaAxn/XonMsucH5jE/2UdHSNhKxPUie3Id7Oxr510d+9Uzn3EjPHZxKT3DST6y8HUxavXFBf+xdyOBkM1H572uOGJD5Ti/enwjVcuH+crsJ3glO5e24Ag/PLkWY1uCuXcK5LLBFI7yP3p2M4mTsOmhnWofdNDY9fOlaBW47r1TkRx/jtfbvhCy/Id/sFxF2pKJ0iZPPbWaaDekP5ajLThCdzlFXznB2P9u42LLNKrunaQxIA6wZ4cW0PRNi123zmX1TWcVL+Ct/lZm/nKSPfWtXJ06pqSXo91J2vZXKFwnxlAZO8K04BBuEPBjZcqeqRRJo/M1nA7hfHvRTpEwJlnVeIEX757L/fXHKfku0QYeq685wvFl9WyJ92BoLnk3SKM1zoJPHaLkGsoNNqRVWJ04Q/SvS1xj5f1O3KTsmXxw5hvwWS6L2Ch7Jp9a+yK2ZxDwJZpZN0RLYJQvXCnGMFKSauAxPTTInBl9FHzSsoNGyRVkYQdNOfAO2CJqoiM0ojbnrlI9aTOnyIQijyegOkop1663JjhbqlXZRQABzaGIpbocQxMIzIQTYtiOMy04yKgTUx2P5HzIokg6XUs3caE0caYQCTRFDJdKLTnalK9xn7PRao1yrNik8t6kSk2+Z39F5qcJt29AjSBPF+qYH+tR6gr5d9JRWx6kfXaS359bzKbmUyyOXiBt5TBw1WEiv2fBCfJGfibf27GRaF2ee2a8RUQvkzQKPNq9nNFnm+i8tYsb6w4R0mwGy1U8/ug6NBc+8v6n1VqI+QVO0bVIWXnVPPz+ZxtJnagw/JU+pgWHiOgl/jS8mOqvhXn5nUtY+o4LtAVHcNA5sHc6M38zyYl/rmd6aFCNkRtf1ch0JkjNy/sk6klGC2GSpysMTYqiN6SVsbQQTthDczVRHGs2K8Nnecaaz/kVAWanz6uiJKRVqN7Yz/BS4VtiaSJMdlGih18/1MSSztM0mWPsLkyn0RrnunX7ObGwjk01J3D9jrcjNMzoI4dpDGWUqipl5nh/525Of7GeDYnjvjdKjLSV5SO3Pq/GZHK0uDbZxYo7hcw47wZxNYHofKDzDaIzxL2XgbwJs6AMKuVzEtIqXFl1iuXx82oUUfTXzcbkCcqeSVe5DsBfvy4bEiepMXI8m1lIc3BMIb5ypC9fsuOW8n3bNTH8wq7kWgx5U7JsB52ME1bIobTBcHylrDTFBBRZG8RekjLydBXraAuOqOdJkq1bg6OcKdXholFnTSiPMfkzWU8U38KRXtgwGHg0B0cZdUTIqxwDN1ljjDsRRisx4bwPFCqi8Ki3hBFmwiwoNFQJIPxCp+RZ6jtK+4KQVuHMpKARTA8O+Hl6oog7lm3gXCTN9NCg4ARWEhyYaCVnB1lVfU5xzkYrUR4/u5CZNUPcVreP4UoVJU9n70Qbrx+cxeYlR9mYPI7tmQw7cX5wZC2VoTB3r3uDtqDgdtquyS9+v5lie4kvrXkKVxeu8X+8uAh+m4Y7h/lI5+vknBBpc4Jvv3w9iRMa133sddJWTnhBlarZ829LyTdpfOTep8FHa14cmIv2tzU8/r5GPrfxGSXkeWbPImb9cJLn/2Eu727ZI+KRXIuRF5toPmRz8Ssp6uMZSliM2VEangqQbwjBvCmbgf5inPrdDhdrUhxtb1YRI5WKTnTMo+LbfRyebMHQXCpVDpWIqfYv6Qyfa3PB+38NFf/bX2quqTvqz9VWnnJHCbtKBARODwxyvNSIgUvvNS6hVIHGQIZ6a5ysE2ZF9Xl+8ek6rmo7iK651FsZiq7FbR0H2fP1Nh6oOanmviHN5qH1L3FyWQPL4+e4NDfqozcKu/GILubFKSNP2srxmXc+oRAKOR5YFOtm1pp+QlqFiN8F6ZrLxuRJ3lFzgKFKlXCSdk1Kus2ViVPKb0ZAt5OcL6VZETuL4Y/2hitxInpZyeOTZoETxUYiRgnHFe8RN0Suj9yoRr2Y4lLIzUhKkQtukLgxKfKEnKDq2CQMK8M85aEuZ9uSYCg8JapVd6f78tSij2DIcaPr6UR9HwsDl+mBQfZOdqgZvOROSWVISLM5W6rFwBW5VD4vzNV06q0JInqJC+UaYr5a7Vwxza6RDjbUnmZBuJvt2Vl0hIZ5c7ydTDnMh1teo+wZ9JUTnC3V8ZNX17NsSRebak4owuuvzy4nt7+GW27a6RN6NXrK1Tz+23VMNjp86KptauP90fG11P44wsVHkiLEV6tguyY7f7mU8JBL1edfpyUwKkY5I53UfTXA7z+4gs6rhkgYkz7RsXyZxDlhFoQD8Ss64zMTJOaIw3LciTCSj5A6WWGyIjgWp0oN1AUmsGMeVm5q05HfRfJfZK5UozWGuX6UC7Pj3BkcQdeEedrK5Dl++EgTq5uPASg04Ob1b3FycR3X1h5lrBKl3sqQtrLMeuQIzaHxKWQFeH/nbnq+Us2S6AXGnYiKbfnEzU+rQrmnXM0RvYlrao8Ted8BBdlLH7C/nfEkAc1h3I0oZLDkmmyac4JpkWH6Kwl0n08yP9rDluRhzpXT9JarfRSywsqqs4R0obpy0FQQ6dLYeQbsJKOVqO+EXaakTeXoyTGoXO+XpofLQkNK4aUvzFglimVOWSFIZE98bjFO1v21KQUXMqMKUETlXjtJ0RWBrRKBkM+eRF0B2qwR4Z/m6ZR0WzzvTD2j8vdKJ3uJygnkYirQtLucot7KKARE94UPIAoQ+XkddM4V08IHycr7ghShWu0pJrGiDtOCg/Ta1YxVohwYb0HXXLakjzJQSbAudoKXJubzw8NrWd/ZxbL4BVoCY4Q0m9/0rOBib4pbFx1gemhIGQh+fetNGMkyn1nyktrztw7P5uwfptN86zmuqT2uxkDffuVaEscNrvnwG4KbplXoKtax/d9WMzYfPn7TM7ieTqM1zjf3X0vrDw0G/yJOY1NGrb0jv5xHtN8h99d9zAhNknEiHM/WU/+vIY5unsGmO076PnRh3uiaxuzvF9j3t82srDqLzKU0D8eoO+5QukIUBEOVOCN2lMRpF9cScS1NgTH6KwlCZgW77FGsTD07WTcMDSXyuTCWLjy+DM0VzvLLPbxUSflA5d0gC5K9/OGeZpbOP6MaPEtzuHLRSd74xDTeV38K6XSeMAssfedhujanmRvtVePp5uAYDR/voik8cZkr+6aaE+z66zLXRgd953ZxPrxvzptkZwr+a2dwgKCe4nC+mU+se5Hs2pASGEku4cM3PCuai4k/bzH0ti+EQATByQoVRCHyFyueI2kU6AwMsqswQ3XENy/frwiM447g9KTNLJ+a/zKtgREOT7aqbrwxMM7mdEEpGmQkAcCS+AV0zcOiwqidwDYM9RkG7SoRtOkrrXTNUxul2ARFmvmJYiNxs4jjM/QjWkWYgJUjauMZdIX/kDTVixuT9JUEPyVtZTE0T5HxppKXxe/pryRIW1lqzQkG7KTyOgEuU5FIhCUhESw/k0z6GBVdi5Q5hR70lxJUWwWCuk2170K6Y2w6Zcfk2tqjPu9HkId/dGwNq1rPsy55mhziGrw0MIfTe1t5x6a3lMR2wE7w3a2b8QIuX9rwpOL+7J1o4+jP5mK+Y5iHp7+CiyDHPvbyGhInNdZ/9E3mhPuoNvOKq5JxwqTNHFIp9LvjS+n8psMTf7eA9pnDTA8NYXsGe/dNx8zpDDWIsN3m4BhvjE9n+m9K7DE7WbfhtCLEj/YnaDzi0bM5ycLIRWFLYJTRK2DmxGEiN8bW6nEuLq3iyuiUZULaylJZn2EwK1y2pVX96tQ5fvFILTfMOEhULwkXWcP3NvLXi+MZpIwcJcti2ef2UWVOEtcnMTSPrkIdH561g+F/iDMjNMCAnVAS6Qdvec5XnxQvM5NMW1kyTpgxO0raylFwg3xx7jOcn56m1RrhREmEVrYFRvjU/JepNbOcLtUT0cuMOxEWRroVuVrErojOekXVucsctYcr4rp2hIaVGjLjRpRYQXbtCWOSYd8RV9c8HA91eJdcCxcdB5cenx93bLKJoF4hapbIVMIUzCBNgTFV4I9UYop7AcJPJe8G6S1XKwIsTPnTBHXb90iyKGGpZkPIvXPUWWEO5lpZFLuoRgUS6ZCFhhwlCkVqURU8lub45qW6+jmBMoX9pshvYuwYjYHMZUGjx3ONzIn1EdHLqogdrUR5c6yd5dUXaA6MkXNCnCo18GjXUhbV93JV6oQqmraNzuLNY53cvmyPcEc3KgxV4nznjc0YUZsHFglTOwOP3Zk2jvxuLqkbe3hPy5vi8+Go5keOeDpCw5yarOeNb61keJnHf9z8A/ZNdjBsx3jy9AJavmNx/At1fKTjdYUW9f6oEzuikX3ojMolfK57DjO/XmLrw3NYu64LmXI+sLuBzq1lBr8SZ2Gkm6Jn0V1O0fiqzvj0CO5inVozy2glRn8+TuJche5MgmC9TVyfpM+uFqNNQ6wlOXbWNY9sh4bbKLLASp5OSLeZ29zP0es7eEdNNysiZ3glOw9Dc9G2jDBSClBt5f18uBLrUqf50adrWVJ7To3wg7rNexa+xWv/OJ33NB0SHFVNrIWbbn+D4XKMzvCQQuZbQ6Nc87nXVeRQ3m967mp9i56/qKYtOELBDSCzxT615GWspULsMlyJq0b1kS1PqXUc0ERG2sJoN7M396t9Wo4BVyTOsWLZOVJGTomDHHTWJU+zLikI6Dk3RNwU58GmmpOCG+fpDDsy3NVhY/KkmhBItLrRGqfaFHvLmVI9GSdMc3BcIeSCL6qrc2dK0PPfcfL/X3/9/0UhJMnQEoKWEtiyZ9BbqcbSKoKg7OkkrYLqKABVvNieSY/tS5ArUVL+XFNGIcj0ZAnDStK0VNdI2bwsmi4NHZ2SZgq4PeQTW0ue8GxJmAVKvmotYRYYrUQJ+n46EkESn1EQUNNmTi2w50bnA7C5+jjxgJBvny3V8WjXUja0drEoelGp4V4fnc6hk63cueJNWgJjpMwcvXaS77x2NZqj8dlNT6sR01uZDo79eC72jePcP3MHKTPHuBPhG6/eQOszkP7sWTbVnCRkiGt77vuz8DTIPXKGmFEkbhR5dmgB7d+A194/l3XXCFJkphLh5JEWZvyhyLGlDbQFR0mbImMnccLACRoU11tE9RJlz6Ti6QTHPcYLIQKaw4gTFhB/yqbQEFTjUKmWkyRImWBt4LJp+kleeHgedzQfUeQ/S3O4Y91ujmQaVedbb2VYm+zimX8I855EjyLHV+mT3LniTfJLgsIKQfPUPbn3vuewXZN6S1gEFD2Tdzbuo3j3YWp9xcWwHafWzPKJuVvVGE0edmkry+eWvEBUL3G+lMbSK4qjJGXWg3aVv1YLJKLiIJH8i8ZARhkbSgLuZYewXlIqmYhRwsBVo5mIIcaRWTeE7niEtApDlSql+pLXKe8GVCET9J2EEz6PQVzzkvo9cVOQi3tK1Sr8UXJ9ZGSARFIkKVuOX+QzFdeLlJgy77tg16j4gdrABAe9Vur9gOBqK68UNLZnENRc4X3lm76Jzx/kQqkGA5eWwIhCQ2vNLH8cWMqq6nPKj8X1dA7mW+kuJLk2fYzdhem0BYaJmiW+dWQzixp7uTLZpQqgp/oXceJ4M+9ZK0J6A1qF7nKKnzy7Ca+5yKeWiGiWoG5zONvEK2dm8q7Z+5keGmTUN/r8ze+uwszDBz70LBHEtXxtdAYjX5vGy3fN5otrnlHX7BfPbKT1hTJn/yHPqmgXB+x2dmc7SH8vwp4r57DqnWdVztObh6cz8yclDnc2KZfgYTtOzW4TJ2jhLhRjGTQYKUZJnqowODHlswQotZNEZw1cYkaJiWkaXnWZi3aNj7o4LGrqZf+WWayvHvB5K6JJmrw1Q8iqqP2vq1zHDa3HeOLLC7i1dR+uJwQrhudx1XX7GdsUYVXyrOK0pa0ssz99hLpgVpHfdc3ljrZ9jP1dlGor79soiEL44Y0vkF0nOEsZn9A8P9xN211PUnJF3ta0oOB6XVVzks03HBfq13Kdz6Gp8ODM7Wqkk3VDCu3+qO8xJWOZSq7FrFAf6eassl0YsBNEjBIdoWHagqMYuKqBbrVGlRdWULfpKVer7K/GQEaNYuX6ihuTKl5HFthZT3DaLN3xFY2iSRbXxbuMMiCeZXEfZJA3oKgOCaOAjaXur3xfmTIvjSRLioJQUYWQfO4llSTnhNB9fqG0tAB8rznfPsURZ2jSnFJx/jleb/tCKKyXMTUNQ6uoAifkS2ClsgUQCcuhKWv7QbuKgq9YCuk2XYU6YkaJeitDY2DcH2MZDPiH0PTQoOpgQfjmSC6KVJddLFazu6+dO6btF/JEo0jSKHC+JNQ6Eavs84wKHJps4amnVhNYNM6dnftotMbRtRA/O7ca59FayreO8/HZ2xQZMOuGLivCIprD2WItXf8yj0KdzsIHe6g1s9SaWb7XvZiWf9R49r7FtF81IkZQWonDh9uZ9ZMCeztbmd40yGglhu2aJA+bGJMeY+ujqvPUNRfNg1LJ8t2wRSFY1ZBlbFY1c0M5EkaePruakG4zcnURzfD8gNgJzpfTLE1e5Fefq+Pq9sOAeCASZoEb1+zn4KwmNtQIc8KMI8YrN31kO4bfCZV9y/zNqeMMf7GHiFGi7I9m8m6QB1e8CivEuEeOeOr8uIig5io0BWBBtJdFq7qVe6x0e64LTNBcJ0iIQZ/nEtHLvKPuILZnKo8lSwtTb01gBcSBfbZUS8wQ8tykkVdjzLhexHZNHF1XRSuIYkdm/YBQBcnPIdUfjif5MuIgTfjRGgDTgwMMV6roqyRJmzm1wf0f3a0df8whLROkL81FO0XcKFJvZdRnkko2SxO5eXmfyBrEVmRQXfMYdYTzbb2VoehZqjg/VGhhemjoMiJ9wQnyVnEaneEhroyf5ESxCdszOJRtZnp0yA8E1S7bdCW0D3BhMsXvjy5hbedZllVdIOFvlr+8uIqLRxu47sr9RPQS04JDdJdT/P7JKym1lvnimmdUYKp8fpo/cIar0ifUNf/Tb6/AyoH+4e00BsaJGUX+NLSI/F838oMHmvj88ueZF+rhqcwSXn1sGXV7yxz72jhzI31knCinsrU0/7vFrrtmsGbjGYJ+w3BqfyudT9lcWCJsKfJukDE7QvURyBbC2IsN8AxszcDSXOx8gJwTVB0yQLHewcpcLvCtCeY5eJVJKj1CVC8xVIkL1HJ5L2dq6tgQGWbEj19YFO/hzMM1XF130fcwE+Ght67cy7GZDaysOa/4dtOCQ6z56F6qzEnqrQzd5RR11gR3NO3l8N8PKHsAmQsmfZtqzSzd5RRB3aYlMMoDdwleocrQ0hw2pk5yzTuPqbF6RBdBpB+d9bq/7gPEDLHm660JHpj12mU/K5/VeNWkQkbl/ir9Z8adiEKaDK1CXWBC8U9kAS+KtSKjvgfTcEU4X0sEvM6aoNdOkjLyjLlR6qwJck5IjYdAuObLta0KFx/pLnoWcX1SITJRvcyF8lROYMENqGieS5tY6Xkl3yNp5AkEKyqUW9oFAArFKroWBSdI3CgqzmnQ//cyIFlYPgiE0XWFt5Q8pwpSQOTbt8g9Me5HcjiIjE35PEqF3GglStxvaBNGnqwb5li+iZpATkWe6JrHcCXO9pEZLEl2K3NRS3M4M1nLm0Nt3NR8hLSZVefW00ML6Zmo4rrUPv6cr7d9ITRqx3i2axlL63pYnTjju59qvDHayYFj7dy+8i0W+llejqvxXwfXo50P867rXydhTKoN6anH1uIZ8IF3v+DfZJcLpRS7/+cKhpZofPaWJwRfR6oIJBTuIz0xo8hL2xcz41c5tn99BpvrTohDyYfop2b7ZWzPZKISpnafS09NFXWzhQldSLNxXB2j7BELlajSJxVpMOTb58sOWgTgjdF3o00gUiaui644pNlcUXeWxz+3kOunH6DRGmO4UkXanOCWNXs4NqeBjbWnCWllCgSYEepn/QfeBLgs/Xh14iwrP31eyblBbHafnfMCXdMEGbrPrlbqh08se0WhESKhvYyBxyMLX1IEbRmdMTvSz4JoN7rmMWhXqS5kRkiYsEnURl6z9uCwT0QNq7EboJRJ8qGXvCzJ6ag2ROZZXC+qsYzkc1iao/w1FA/H/30Cho6p+IioXuJooYk54T5FTA1pNsN2XGWGyfGTPLzl55SFuNxMYcoJWNdEEvvpYj0tgVHFl5IbloTTR52Y2FxNgX7JMavkcRTcAPsybcyODagcrYhe4rXMTM5lU9zetB/LL2YH7Sp+fmgVq6edY0XiPCXEZvqrCyvpO17HXRt30BYcIa4XGatE+eEfr8FuLfPZVc8T0csM2Ame6ZtP6UcNHL//Irc37sPwRIbUo7+6ikDGo+5jr/gqtTCvDU1H/3INOz7SyV+vetr//qaSUkub/rhe5Gy+hmk/0Nhxx2yWXXUBkdjt0X2ogc4/lphcYynTtpBuU3UGMrqQHKOJMVW5YmA5kK+I2JURJ8agXcVkk8Okq6mRFppDTTDPgVvCLGw7I/ypJtuZH+7mxA1dHJzTwsbABAkjj+2ZrK4+xxNfjHNr7QXFAbQ0h/ddvZ1jqxpYkTin5P4zwwOEP/OaQtBk0Ts32svsNcJuYNhPCA9pNn+x+U/K6Vne87nRPt75rr2cK6dVARLRy7yn5U3s5ilrg7mhXnbmpvP+jt2q8HXQCGoejYEMC5u6qTUnuGjX0F1O0RIYZW5UqBIdf7SXc0KkzBwzw4PomqtysCQnsqsoSNz11oR6D0A5yQtnY1eZBsrv6/gogHw2in7RK81XXU9TnlEwxTmUDYBAElDPTd438DT8Z0cWArJ4MPBUoyRDrMecEI7vBSbJ11W+xUNUL9FfStASGL3MfFMUPVMRORJZtTSHUSeq+JIgVKW9drVSvQmvOvHdhu24IKRbE2qykHXCnCvWiBGwf3a0BEYZrsTZMdLJ/EQf8yM9OJ7OgJ3gfDHF3sFWbm07qMj7Jdfiyb6F9I9Xcf/c1wVSbEySdUJ8740NVNXn+ODMN5Qdw2glRsrMIZXJsuB67Pxi7K1p5t1+nBtrDoqfdWL8+IWriPTo3HKviGMaqCS4WEyx6z+WkWvT+NSdj/sKWXh+YC6VbzXw63vqeXjxVtXkPHlwMTO/Z/PKV2fx/pad6p6efrGTxh0lzn8x9X/5jP/veL3tfYRe7JtNwxfhld3z1ajKwOPAsXZmfy/P3tFWn2QsZJLm8QhNr0mejDA67C1XYxbBKKFGACF/0WXbdCr1YtzSEhhRXaxw+7VUMZWpRFix5iRnPmtwRfoMaTNLyswx6vMVJOlPGj8uj5/jir/dxUfWb1Ujgawb4t5pu3jvXz3DPW1vChKo5hExSmozKDjSR0MjYeT57Krn+fj8V5XzKMCccB/fWP47moLjZByxqRW9ANNDQ9zZ9BYy1sPAY8BOsjh6kQXRHuWIDahx3ozggE/oDPu+OgHf/E9wKOK+HFTK2MW/FRvFaCUqCi43oIo52ZVl3RBjlajKCJJ8JJjyhJJFi4R8pdeGg057QJi7Sahbck2kG7Y0DGyyxhmwE8pkTNdc2gLDGLicmqz/P0C8ogAbtKsUMpZxwmSdEAlzkjcnpjFWifr33CFuFHkr086zQ2I8GdcF/6SvnOTf921iT7bDR/REp/jjM2v5xvbr1X2yPYOzpdr/D3v/HSVHdef946+q6uo4PT3dk7NG0ijnLBQROZo1xgYMDtgYG4PBOD/r3bU32Lvrddi112GxDTbBYGwwGYSQEAiUkFDO0kgaTY49nbu6qr5/3Lp3pGe/z/e3fp79+pyvz6/P4QCjVk939a17P5/35x343XMr+cGBdYobkHX8PNaxhCe/fzkH0w0kjLQ6cAZLZR5ZsaikyH84N5fBL7fyyMElaoPOuyY7npuN9p1qTuarvb/vcnCsnok/ddm2Z4oqrFNOkL59tUx43qKnEFPp9clSiIrj4OsW+Xt+757IWiaOT8OnOx68nsHQHLJNNskpQvq8P99Mi3+I5VUddLwvwLy2ToVYyWLbcXWiel75qqxMnED7+gBXLt2LjeatUYebL3mb6n88zcrYcUZtkTUX92VYde92br9+kxoHANw2cSfXfXET19ftUxl5kwJ9fG7dq3z18ucIKm8YjYXRM3z1umdYEhfcprBeYNgu45KqI3xhyXpqzSQpJ0TKEbYHt7ds9zhthpJTN/pHWJM4psYAEuFoCwxQ7x9V36lEI+X3KNeF9HoK6wXmBc+QtMMczorcuN6S8FuxPbRNFu1Bj4OStCN0W3EmBAfVyAJQ94ng9+iehUBQjV3SdlCZ3knERTYfkjwf1fMkS2GqfWPomkB68566VR7IwAXcKBg3mZV/XzZtg1ZU0Q3q/aNE9IIiJkvCuNhjApwtJJRxZ8zIevtUOcdztZ7AJahGQdvHJpIshdXnGC6V0VWM80zP/AtMR03N5pWeGTzXNZtuK47lGhRdg0p/mm++cQOH0vXqMwA8cnopP3npCoH8e07NPVYFD75wOQ+/vRIDRzUdrw9O4/UfLeeR40sAqdb18av3lvPWPy3j3WSr+qw2GpsfXcxbP1t8nleSj0OpenL/1MgfXltGd1G8v5gvy/p9Myn/fpRN/VOQ6fEAI883UvV4mD6rXHFweovlNL+kYb0bV2RpGZAsrA6CitdmajYjI2WUnxGvZ3gCiYJjotka3nFDWBehvZVmhnSLRqFamDtWeOO2yeUDdF2sM6W+nwn+QU7ma7Bcg9mTznH89gDLqzq8MZtGQLeoXd1F5ydLTAoP/BdP+P+ex589IrSq9iRP37OK5XOOiW7PGxe8f/G77Gxr5ZKa40gLfMs1uPaGreSu8zMhOKhulIQvze0ff5X+YrlQjngzzgnBQW67/TXF1j9brELHHXc+1RxVfCV8GVbFj3ND1Xt0W3GlMkv40tjo9Fvlin8D4qBqCwyoG0Q6LMP4/Pl80zzFMfKMImW131OsoMk/rAouqTbqtCpVhljS40+I7mQUUytxLF+v0rnHSd2OgkirPGLdgVyTSMP2EpGlaZnkeOiaQ8E2PejdUWS4EY9nJV1Hpaup6cpARwG9mq5N0Ou2TuRrSdsBFakAghy6bbSN6dFeWvxDXlHg46Xh2RwYqOdDbbsVuhDRC/zz/isoj2b5yKTtihNzMlvF4xvX0L7iNNfW7ONcsZKEL83TB+cROhji+g9toTEwggmczlfy2mPLSE2z+PTyN8RhaId48ugCmn5scvxr1dzWsp1BTxZ95JFpBEdc7L85IsZiaKzvmsakf3fYdG87M+d2KRJ19p0qWt+zGFkSYVqom2G7jN5COYmDLgOBMsyZAiHAgGLJIJxzcdBIeQZwgneRU12/9PuZX9nFK39RQ1ttlxoz5F2TpkvOcnJWFTeHuxU6Nbu8m/f+weDigBiLJTyy9K1XvEn2Uj/1/qQa880Md2Hdv01EN3gp2gB3T9pM35dj3nouMWyLcM4vrHsJyyN2i+y7APX+Ub52zR+QkTHiMA4wK9RJtxXnULaBBWVnVA7WjfW7FeIg1+P0UDcJX0Z1s0GvcG0P9RE83wRPz6vU+qzjJ4AwoEvaEXW/SLKpLHpjRtZrNFw1sgyfVwTLglx+h5LEOuzI4E0HC+OCQ1Q0HqbiKMmfSaSkTEYuuMYFz9+daxN8lkiXSjuHccm4FEFIRFE6Hkvuj+EVWJKfOCt0TsmZJaIk+R+mXlJcMskpei/ZwvzYWWWwWXB9vJedwPahCTgJjcbAiOImPnpmCYbm8oHm3Wp81mOV89udi7l07iFmlnWJJqkU5uGDyygNB7lr9UbiPrF3nMzX8NwfLsKakuPuuZsVwvnz4xcReipG4pNnuaFuj9pj//CbVQRGXNrv71PIzZFMLWf/diqbrzT43KWvUO1LMVCK8uttF9H+a4tNfz+VG+t2i+KqWEn+8Tr0kkvqy0LNlHf9bOqdwuRHi+y4p4WlszvU3jZ4qIrm1y361pQzOdjnmS1GhEN93MdgKUqNx1MD8OVdHEdE6kiUOFyeJ1MXoDEkOEBZ7/sem26hlXSPhCy+01nRbrZdN4WqCYMkfGnl2r5ixgn23VvPB2uOqea0yjfGxA8cZzgfoSUw5K1Bk6nhXvq/fIIFwTEV7RM2Cmpdm3oRU3J5NIdPznub9OwAjYERJbiJGVk+dfV6Co7JnNBZLNdHhCL+QInb3/86huaoQjJmZGkNDnPflS+Td30czddTZaaZHhSI1vwVnUwK9GF5LuFZx8919fsJNFqkUn9atvQfhQh9+9vfZvHixUSjUWpqarjhhhs4evToBc9xXZdvfOMbNDQ0EAqFWLt2LQcPHrzgOYVCgXvvvZeqqioikQjXX389586du+A5IyMj3H777cRiMWKxGLfffjujo6N/9AdsCw5w76oNrE0cFV2Cd0hMDA1wef1hZoXOkbTDquiZFOxnSfSk+n/py5MwMkINZIeUmZ78soO6xUApiu0pDeTfO5+YKp/faQkYu94cRabxgiBly834dF44BNeZSZKlsNf9+hVfBCBhZBT8K2FNCZtLdCjp5UpZro+Ud/NVGmnVfZbrOXo8tZjsBI7l60k5IVoCQ2qjLjgmZwuVqlt1XJFO/MbIVEZKsogSKM/ZQoJ/P7SGlB3ERiNZEu7BT5xayE93rGGkFFFdfsoO8tDTl/GzgyvJexL7vOvj0ROL2fzdZWweaBfom3dNf/fcSt754WIGraiaP5/OVTLw9xN5bP1qMS5DzNnf3jqDxPcjbB+ZoPxT9mWbqXvGj/ZiQlj163kyToCTySpaXs5xpFskPjf4RwS3YTBAuMcV6j8Pbg8ZFlY5mFFRGEpPoYnVQ3SvCjIn0U25niNmCJfj4uVj9F1XIFkKq4Pp4objpP46zY3T9wAC0g/oFh+++XXCX+6ixj+mJPLTIz2s+uo2brtyMzDu3fKpKVu45qtvsCAqbPerfCmVNC0LeznWmBzu42vX/IEb63erkUTW8XNL4w6+PH+9J4EVMtiokefK6gPcVLUTA2Hj3+wfYk6ok5nhLvqscjrzCfKuyagdZlKwX3WUgCIflxn5CzgUgFp7w3aZkl2f7xCc8pCIhC/N0YJAPWZFuhRiK1VUEqlKloSsXHI+ZBdqechEygme916KqhmQholpz3zvfD8rgRyMe0/JTVoWJQLB8HsckSLzQ8JHZv3QTPU5JJpab4p1lCyJ8bVEuCzX4HS+SnXH8r7OOn7W98/gdL6KqJEj75hMDvTSXyznZ4dWAeNjoHPFBD/ev5rne+YopCfrBHhzqJ3vvHodR7N1igvUVYzz0Evr+OnWtcgIClOzeax3KS9+fw0vd89QYxvLFTEUsomRDsPHMnV0//1kfrr+MqWkq/KleXjrSrSvJ9g53KoQppFSBB6ppvBkrfrMuuawpW8iU36e5/UjU8eNCHUL7USYqh06p3JVOK5ABkqOTuykgzM8jtpYrmj9bL9GmVkQKl2vucs22YxNllw4sd9Oi/TRdbGPpml96rqH9SKzp3Vy/KMmM2M9ygOt3hzFf0sfxu39StJdcEyurD8E3xzig9PeU+vV1Ep88JJ3mPDNo6ytOELKK4hrzTEu+9RWPvChzarJ7LEqeH/tLq768pvcP3PjBcjaXVO3cNsnX6U91KeI16Zmc++K1/nLdc8qJNRxdRr8I9yz5jVubt3leT2JQvvi+BHumSoyEsezwnxcUnWEf5j8NP1WuSJtW67BZYlDzAh3K0UboIQT8n2BaLYTvrQyXpR/Zrk+EkbG26vF2ZZ3Bd3BQSNZCilDSMsDAwDVgAO8l53gNc9phu0ytZ6Er5F2Ae3hT/X4o37b5s2b+exnP8u2bdt47bXXKJVKXH755WQyGfWcf/7nf+Z73/seP/rRj9i5cyd1dXVcdtllpFIp9Zz777+fZ555hieeeIItW7aQTqe59tprse1x189bb72VPXv28Morr/DKK6+wZ88ebr/99j/6A5qeSmykJBaO5fjUplpjjnE0X6/4IMKB2MXwNkX5ZRjePNhB93K5BNksawdUSnjMyCmPDTkWkpuLhGUlWTZyHpu+zBBcCxlKBzAvIhxcnx+apwqysC54Pj1WBY93LaHHqiBhCFPC4VIZ+1NNPHR8GSk7SIWRFd4+jt/zDNEwvE0t40HL//67a/jW4SsJ60XPSE3j2e65PPe9i3l1YKbn9Ck+/0NPX8br/7yCkVKEap9QZhxINdD3d5N4fvMiBe/b6Dx/aDatf+/w3NlZajyUtQM4GxM0P68zaJWp2fqQFaF6r02pK6zGLQCmYePqGjlL3CB1PkHaLNSWGJ0iDDH9Wokac4wJoSHOXKPTtuAcpmZT9CILli49Su+9BebGRGqyjU6Tf4Saz51i0u3HKDPyamRyY9Me6r9zijtmbVUHfFgv8sAVL7Lmvm3UetwogHr/KLe//3XunL3Fi2IR1+jm+h189IOvsSja4SmUfGScAJ+Z9iYPLNhA0CtK/FqJWnOMD7Xsosk/4nnC+Kk00kSNvPDK8TZA6Sslxygg0D+5NmXHmbaDykQu6I1z5TqXxbK8vv1WOTLcd6AU9RQ5jnpNWdjvzzcxwT9IhZGl16pgoBRl1A5TcnRSpaAabUjOFKCKLzmikdwMiZIMeHJ5ueZqzVH6rHKSdphGU6gUzxXjHn/KFZ/Du+5yFHkyX4OMu5gY6CfrBOi0EvQUKzypcYFW/wDJUpgj6Xr2pZsA4fcDIjn8qe6FdBXjBDxeXdTI80L/HP7j2Ap138r783s7LuWF3tnqoEj40jx5diE/e/YKugpxjhdFgnxVIM1PfnMN/7rtUgXzZ50Avzh2ES/97VreHJx8Qcjqaw8v5+Wfr1SjbFOzebF7FqWv1/Cb3UuwXZ2okedUsYbfv7CCph/5OJ2vVO+tM5+g8eEAPZubvEJOoDp7zzQx8ekCB0bqx9PsHYOysxrmoM/7vkS2mcgjBA3RuPm911HqHzugxiTV/hSdlxlUTxs8b7RWYvns4xy/w8+CRCfSxb/KlyL48R7Kbu1WJqoGDpfWH8X59ihfXfKKsGfw1veN177Nknt2MyvSrdZRe6iPJffv4jMXbyBmCHPEMiPPne3v8L7Pb+LSysMej0YoMT9z8Qa+cO1zau1Iv7dvvO+33NC4lz4rRsYJkLRDrKs6wgMr1qvGVhbYt7Vs547WdzxCsNijYr4sNzXsUui4aEh9TAgOsjx2UqkRZYM9JdjLpECfcMa3I55AI6KIwpZrqO9FngnCu8dQDbb8c7lW5J/J8yVtB9WYUBYakh8l4y8s1+BgoYmAViKq51XRY7mG2i9AFDyCn6SpRlwWRlINff79J4vlhJFm1I4wakcUXUREKgklmbT4EJygkPo8Ad3yVNE+pQCVKJnM85MTjj/l448ajb3yyisX/P9DDz1ETU0Nu3btYvXq1biuyw9+8AP+8i//kve///0A/OpXv6K2tpbHH3+cu+66i2QyyS9+8QseeeQRLr30UgAeffRRmpub2bBhA1dccQWHDx/mlVdeYdu2bSxduhSABx98kOXLl3P06FGmTp36X37PI3YZecekKSgIbyNuxCMxo27EvEeqCxviCzmeq6XKTCtoX9dctiYnUbB9LK84RVgvKm+GDd1TaShLsjxxion+AQZKUXaOtbFx/3QWTz/FqvgJj1sQ4VdnlzO4pZ7l1+xjcXmHgqJ/sXUV5YdNLr19GxOCQ2ScACeytRz84SzemqVx9/UvKzXC+u5plP9NmF/ctZIHlr2mso42vz2LyY+m2P69CTTVDasbd9CKEjYKiqRmozNcjFC7s0RnRYzwlIK6Vq6rYRRcCiVJdvS64ok5Rl1R5ctrVR9MsvUml9mTTysSb8ExuW7Gft7820ksru1Urxs18sz+0CHSloBZ5aEyIThE+V+/Q5UpIGvJu/pQ227KvppXZMKzViUxX5ZvrnmGYbtMKe1iviy1ZpLvXPEbBkoix0zesGsTR1kdF6ZmB3NNimt0ZfVB5Rgr/13tS7E01gGMbzzoouiQ5ohC3i3MHiXh+fzNKmgUFcFUbkQJPYOMDZDFtu2pLiYH+jhTrFIGlEKRUlKvJwssOVKUSOD5PjN52+eNe8RGGtBsHI9nFjRKYo0ikETpYNziH1IGfeLQc8k7hlJryQ1y0IqS8Qc4UahVAZDSJK8+kFTme0dy9RQcn4j9cAOqcH+xdxZTY/1cH3+P/fkmOgrVHB6r4/RInDvatxLWi5wpVpHwZfjhlktpbhvgQ83vCihfc/hD11wG3q7nkut2KX+erkKcl35zEYX5Ga6bsp8af4q4L8P39l9C9W/C+D/bw4ca32WgVI6hOez55Ww0F+ruGSPuy1BrJvnV2eUEv1HOrz+5nAeWvaY8cE68NpHady0O/10D0yPdmJrNmVwlrb/TObWqmex1B5Q6sq8/RtMOmyOramkMCJfjkGERGIHcBJQZYVC3iIXyZKti1HkIRsH1YhRmW2BrKjQz75rMSXTz0q01zG8XkSCmVkJHp33VaY5PqeamcK9SiLWGBjn8xT7WxvrF/eQIgvkn5r7Dvn9sZEnstGpm6v1JbrjrDYVmyYN/ZeIE1pc6FOKVskPKv0muO8nRaQyM8MCVL6p1KA/d5RWnWH7RKdUICTVZgPc37FHcOkAhnDfW7wbGD1bAC2s1lDmfUHw5tIf6afYPsTU9WfGHTK3k7TeaQrpFDEhR3XdiM4O0GxRZYb4xThZq1fuWhdIkfz8nC7UczdYpIjjuOKqkjP40QyHjsrmQv1+i5LaH6ADKHwtvT5T/LR+y4ZD3mnTPT/gyivYQ1EqYlNS1koipqQnfqUpD2JX0WTFStgiFlZODoGaRdf3nCU18RI0cRddHVzEOQKN/RNyrXr3RXywna4hmSkros46fXclWJkcGqDXHmBjo53SxioPpRjozFaysOqmEKDYaO4daGc6F+eCEXVT7UuS9ZujRI4uJhgv8RctedT0OpRvY8uYspi45zW3129RnfK5nLme2tLBwxa7/+Sj/f/Xxf4Q/JZOCDJZICIZ3R0cHvb29XH755eo5gUCANWvW8M477wCwa9cuLMu64DkNDQ3MmjVLPWfr1q3EYjFVBAEsW7aMWCymnvM/PwqFAmNjYxf8A3AuH+epF1fy01OrEaF4IkPq8bOLefrHF7NpYAoTA/0qZfeHWy5l6z8s4b2xZsXf6SlWsOfR2Zz9/hR6ijH1O4etCKF/i9Px23YAOq0ENjpnM3Gm/jjLu3snk/Cl6ShUkzAy9CfLaNqY5ehojSIYOq6OnjUwUy4BXWSeGTiEjCLDMzVKjeOOsgYOq+tOcuKWCMunnRTzY0eEhK5ZcYDTX9NZnDjDZZETnC1U8sbwVOVhFDXyyiZ/QfkZpvzVQe5a97rHJxHw9U1Nu7jpL9dzVd0BT9EhiJpfWrie+z74LLNC5wTUb0doDg5z37INXFZ12OMXCORpUnCAz03ZRGtwmLQdFAeHVc6C8rOsrTqqYHI5imvyD3ucJnHTy58DilTp97pTmVs0UIpSZaaUAVinJdZfzAubBXETJ+0w3VZcHErnKaikhFaSNYvehhbVcwoRyNoBas2k5w/lUwdC0EteDmrjSN9gqYxzxUoa/SMYHroiVSDnE3+lX0dYL9JpCZdeqTA5WxRhhX1WuSJ7TvaCNN9Lt9BjVajg0KQdImsH2DQwlcFSlIguHGTTdpAX+ufwxJlFCEPQsBqD/Ou2S3l9cJraUAF+1bGM7/7uffQXy1UReq4Y5+f/cQ2/3b1I8caSdpifHF7Fe99YwJ7RJhoDI8wNnaXHquCNHy7j7QcXqQT3al+KxzoW4f9iGa8cnMnpYhXVvhQJX4ZTL0+k8icRDmfq1TXqzCeY8sscfTvrVCBrxgnQebaK2p0W/QUxzkoY4l70pcEaCTAxNEC9OYLjajQmkoy1GtSHx9RoKu7LMLzMYmiZGEOLNRFgQVUnxz9psnbmUXWoWq7BrCuPkvvcCK2hQXXYT4n0UvHls9xw+TYVJdBgjnDTnN1M/R8HuaTqiCIm15pj3HjXRp655N+xHDH6slyDT014k1vuWc/lVYeUEiisF/nKipf44mrh/zPiZerNLzvDly9+gdWVx0XCvYekfKBuF9+c97zIxjuvSL69aRvLoieUhUHW8YvRZuUBNbqQo7cm/7CwCNFKgq9TrGBGoEugzMWYF8ZahlRxyfvvfCI3COKu5E/JgkGGgFquodazrjkM2yLLTxZf4rDzKd6k5ETJP5eKPfkdAgyVymgJCIuPc8UEKSfoqUsv7OHPJz5LWkLMyzvsK8Vo9I8opMFGI20H2Z6dzJRgL7MiXSRt4eotbUjaA32iifHk6bJplsXdcKmMnmJMoRrVPpFFeDJfw8F0g4rOEaNbl7dGJrMv3eRxMkMKyXrw5AocVxP5YYjCdfPgFH50YA15VxDTg5rFSCnCP719Nd999zKOZus4Vaxm2I5wLFPL759Zxebhds+5vkhQt/jl4Yt48tfr6MhVi8Blx2TQivLEc6t56qk1KtDZwOFoto43f7CMRzaIYG2/VsLQHJ46s4CBv27jd8fmeWO3HINWlE1bZlP621q2DbcpflxYL9L3bAuhByvoLYxTR94aaafuV0FSuysx9ZL6fvb0NdL2hyyHTjeQcQJKaHH8XA3NG3J0Z2P8KR//24WQ67o88MADrFy5klmzZgHQ29sLQG1t7QXPra2tVX/W29uL3+8nHo//Pz6npqbmP/3Ompoa9Zz/+fHtb39b8YlisRjNzc0AdGSqmPB8huE91epms1yDZDZEpM/Bcgxl4hbQSuhlFpl6g+bQiNp0wkaBsWU5ui5xlUHfQClKQ2CUvk/mSNxwTm0eEb3ApTVHGP2HAtcv28WoHaYlMETKCfLpmW/R/N0TfKh5l7ohdM3hS1c8z3Wf28yE4CCj3gY4M9zFh6/ZzB3z3lFFwmApyqRgP1+58jkurzzojXbECGZxeQd/O+85bFfn+fR0grrFirhIak+WwnQUqj0CoNgcF5d30OQfVgel3EylykNufFKCGjXyHM3XKxmmJGSP85HCF/ChRGeRxdRLxHxZqnxjCnI+Pw5AqrXkBiVfr+CYCtXKOAGPy2Gr7tdxdfpKMTVbDnoGk9LRdTwM0VKOyXL+3W+Vk3dNpoe6PZjYT0+xgmN5wUuRho9nClW8OdRO1Midl+Hk5/GuJbw4MBvLNaj2pWj0j9BbLOfb267i3VQbZUbeI7lr/OrEUh7auJbhUkRt7qdy1Tz6iyv45wOXU2WmaPULZ+V/3nkFG76zguPZGqp8wmdk0CrjwL/M5YnH1qlZeszI8eTxBdhfqeTXB5cq+S/AuafbCPxYjIrCepFqX4r3xppp/2WJfTsmYaPTFuhH11wGOuM0bLE4na0kZmQ8VYgPo+iCo9FbijE/fEZwowJFkm0+qoJponqOI4V6wnqRwRUWoyvz1JujpBzhtXJV82GOfC7MJdOPeF27yGCbds0x7AeGmB7pUWjUomgH0e/2cPN1bwLjtgIfWfIO8/7+PS6tPIzwQRHjhdvvfoWvrBXIxN5MC2G9wPsb3uO2T77KpYlDwuDO4+98ZdnL/M2K59Q4CQSB+ovLX1XcKrkBX1p5mDvbtihekOQLra06yryIeK6uCf+psF5kWflJTM2mx6pQJNKYkePZsflMCA4q1+OsEyCq50l7SeKCFxhSo0pZ+Ac9I0ppbioPXHn9wrrnku1x8cJ6kbxjknJCSo0pOVLShuL8qBvxWoYa44SNAqetalJOkEnBfsWbkveo3Bfk6FYiJPL+PP8+lQ7Nkl8keVuW46PfKlfNjxRBSJ4NoOJ69qWbGfaQNOmUvXOslUPZBuEB5htj1Aorg1o5bpFo0PkIqmw28q7Jz/ev4ImOhQr9jRk59qaa+cXzl7JttI3hUpmK8/nJvtU89OQVFByTfi81fciK8ORDl/CLd1d6n0HsPY+fWMSbf7+c1/umIhRmIqz62adWcvBHs1QKO4hE9f5vT+TtF+ZiI0aHjqvx4IEVVP9tgGdOzPXyIcUedeLNCTT9zOTd5AQGS+UMlqIMFctofFUnuivIutghloZPiglEoYzKAzYdowkqjIxqBPOpAGVd4nyT6FVQt9BcwEVNPMT6KJFu1NAbs+ocs12diRVDdK8KMKu+h4JjknECXF6+n9DEMTpu8LM4fsZDw4RgIHhlP/0fFgqygVIUG5050S7ynx1hzZV7CHrGxbrmcFPbe7h/N8wnF2zB9HzKHFfjrgVvEfn7bhYlzv7fnvP/bz3+t1Vj99xzD/v27WPLli3/6c807cL5nuu6/+ln//Pjf37O/93z/59e52tf+xoPPPCA+v+xsTGam5tZW3mMt//Jz/ui/d7NLeDm29t3kPzrEHEzw+lilbjhCXD//I1Y8wyl1EjZQSYG+nlgwQZP4pkWkRJGhkE3yqembxk3pyoFVG7Q3RPfUIZdSa/jMXBZUH7mgvedtQOYPpuEL0OFkeFEvg4A07SFf4VHlrNcgynBHg7mmqjypUm7QaUqkGTLw7lGak2hCBh0o2rMMznYy7liJSOeI3WDOUJHoQbLGOd0WI4P08gpzkhYL9BnxYj5sgyWhFxc+l/IaAIQCc5BT3Eic8e6i3GRiq4Jo7U6X5IuK06fVU6mFKDcl0PXRKjqu8kJtISGqfGPeRtvjpOFWrYMTGJp5WmhTLIN0k6Qt0Ymc2Swhtsn7xAOxpaIgXjy4EIqYhk+NnE7tb4kedfPq/0zOLWhjXXv28XksBhvZR0/v37pYswxjQ/f/Dr4UsSMHFtHJ9L53Smcu8bmvmUbvI20wPdfv5JJvy/y0j+UWJM4hmnYjJQilH5Qx5kGg6X3nvZm8w7b+iYw9d/yvPT5mUxd2Iu0Xijsq6Bph83YyqBSAQ4Xw4T7HAYKojAbtUUobyBsUagI4teFxX23FafGP0bPKhdiedVFW8Da1hO8fNcs1rUdUa8B0HLjKYZyYYV0FByTtfGjvPItk5tjXmq9h4rdt2o9xxbWMTPSxbAtNuJlZSfhkygX2/5SOWG9yMcmbsf6lODI5F0/1b4Ux/J1/NPqpxi1I0pZ2O+F7H5x2avKsyXr+AlS4vKqQ8LTB3HAW4hO/vKqQyplHMDUbRr9I7T4h5Q6sszIo7uO+rsxI0OZr6DiX5SdhVdkSDm47roqxBdt3PQu5QaxnIAqxKXXkHTTzbs+mk1hHvhOajIzwt0YuJwuVpPwZZRp3pRgD31WBeeKCRK+DAlfRv1uEDEOBs4FLruSZC8VXRK9k4o2aawnGyCAU8UaavxjilciCapho8CSyEk6rUohDS9UENCFkaA0vhT5crUUHR+TQ2KUJt3JN/ZPZVZFNzPC3Z6/kMPpXA0bTk/lpvb3mBJMKzf9nx5dSHkkz82tuzzUpcSOsTbefXMa0y7q4Irqg95nDPCD3eswO4J85IaNipDcVYiz+RdLGF1Y5L5lGwjoFoOlKD99Zy0Nrxu03X9ExcD02+Uc+elM9iY0bvr4RrqsOKtjR9iTaSXmy1HlE01d1g4qB/JFwVO8m51IfzFK3JfhVK6aht/4GZ4ahjZRXBqaw+7eJlpfznNiVhXLKjqUYSBnQyQO2ZzKVTE9YnlqPD++rItu2koBaOBSEc6RbogxIzymvlcDl/z0HLk6P1VmWhUVdYEx1l8Ptc393v0rxmhXtx/iuXvmcG3bfqSZpKmVWH75AY4srmFGWY/yJ5oc66P6r1I0+YeZZg7SZZcxUIoysWyQ0j06C6IDHM41KuHOfUs30Dk3QY0/pQQWpmZz2w2bFIozaoexMJgQHOTDt7xOzCd80qRVybrEEZZ84LRoYhFK413ZNj499S0qZmQZ9ZpfRxPn04dbdyq+oRy3NvmH+HDrTjWaawsMKBL1zQ07STlBhu0yNe6s8qVYW3WU5Ljg7k/y+N8qhO69916ee+453nzzTZqamtTP6+rEId7b20t9fb36eX9/v0KJ6urqKBaLjIyMXIAK9ff3c9FFF6nn9PX1/affOzAw8J/QJvkIBAIEAoH/9POsY3JT3bukPDJW1vUr8lhLIKtkrBLCrfKlVP6TRBoUydMQEmEJ5coQTan8kt1Q0FNfSVv+al+KY7k6GgMjCp0Q3iBFDF2gD91WBd2eC7MchcnX1TUHywlQ4WaZEuxVUQsSWQlqFlEjr/J+ZPaXIJ8m2J6aJJQCXlHVZ1XQmU9Q6U/T4h8i5YpE7H6rnB0jE5hf0Ylj6EqmuWloKkcHa/hI+3ahbsOix6rg17uWU1UzxscmbqXgmBRdH28MTaHjhYk0XHmWz7ZspNuKk3dN/n7z9VTtMGj+2AmqYykKjo+T+WqOPjid3Q0at35ooyL/vtQ5k6qv+/jtlxbyL0tOqdn4gZen0rg5y4nv1bAwekYpEZqeNBmaUUXztCGafcP8x8Aazo5WULPb4vSlCZZETyorfb2godkQNgocy9dRb45SH0yyb4pBtHI8oLXCzNI0tZ9TN9RyS1m/J5MuMSXYw6MfyRGPZqnypZQh402tu/nDt+dyY80hwnqBwVKUqcEerrxmJ6nLg1wUPUGnJRyhL0kcZvBr5zjfLDDvmnxx1msMTosqqwRTE4nZX730eTVbl53vwrLTzFzehYEwXZS2/euqjowX5t76MIHLqg9RYYjNK6IXGLXDjJQirCg/ju1qnCzUKt7GjHC34pf0FCuoNZMYHoFW9yI4JNF/1FOknI+8yfcu7feFQSHqvjnf6VfmQvXb5dSbo/RYFarIagsMUO1LqXtOjiIt18B0AgS80ZaBQx5TSextRxRbpuflE9RK6n2d7/iOh+5YrqGk9xJJkONLU7OJm1n1eqZm01OqoLtQQVNgRESneEKHk/lqhothZke7CGslwprNkVw9b/VOYlF1JxNDA7T6RQjsy72zOD2Y4K6ZWxTiui/bzFNvLWXSzG6uqj1I1hGeXI+eXcrgm/UsuvYAVyQOCq5jKcKjz6zD8bvced16glqJmJFlfXI66R83kfxwis9OFUG/I6UIr/9mCYFRl7b71xP2nNm3Dk/E+UY1z3ywkfZLXlAI1QvbFjDpiQJ7/6GJxpoRwnqBHidG5VNh0o1R+CSqgTo4UEfrizlOT49TWZdmyC4T1iFdQaKnxXee8KWRTuyaK9BGuUYDukV5bZrhaXEWB9LYXiNWZuQZWG6jRyzlCN9txVWyvUSgAp7vk44rAnNdHZ/uENSKTAgOcfT+blaVD4q9Ap1kKcxnprzJge810RoaZNAqE/xQvcCtV71J77pylkRFfAcarCg7RuqTQSaH+pU5q+NqfKR1G8m7QiomR36WLy1cT7UvxalitcfJ1Kgxx/ja6hcV50gKARZETjN7yTmk0tHAIeFLs6j8NMtjJ5XpY9Tzontf+XskDItRx8epYg1nC5UUHR+N4SQl1xBoruZgO8K4dWJogKguYpUcV2dCoJ/TY1NoD/VR9O4/AEOzFJlbRmXIM1E6cMt7L+7LENVzdFsVas0Ne+rk84nVBg4m0GiOcLZYpbhUwoImeYE5qETaJSXBcg1yzp+WLP1HjcZc1+Wee+7h6aefZuPGjbS1tV3w521tbdTV1fHaa6+pnxWLRTZv3qyKnIULF2Ka5gXP6enp4cCBA+o5y5cvJ5lMsmPHDvWc7du3k0wm1XP+q49Wvxg3nSsmqPMliRk5DmUbFCte/ttxdXTPl0eS4mQ6r4SFRQdXUqMcgGFboCySSJlyghQ9GbIk2GWcAPX+JFE9x9lCgn6rXKE1eddkX7aZ95ItCiYvMwSU/lTnfN4YmqII3WNOiJ3pNh7cupq3htoVQmCj88vOFTz527VsT7apbnSgFOWnWy5m40PL1GcO6Ban85Xs/LcF/PbpNdjoynH1uc7ZFL5UzWMHFyuzxx4rzr6326n7rp+9Y82qSMs7Jo0vGmS2VwlPFt2ixRxiIBuhZneBzpEKzhSr6bNivJdtBdOhFBTXzEGjxj8mOs05LsUZOZr8w5TrOSqMLFMT/Ry9I8q8lk50j7BdayZZcf1eBr+UZ37ZWYVshI0CtV85yYIbDjBqh9mTb2F17Bhfn/ESs765j1WVJ3C8eXytmeT+m57l1g+/joGrIiRmR85x860buaLlCI2miNQwtRLXNe7j3stfoSUw5PmElDFQKudLs1/jkxPeJugdBvJ63zlhC9NCPWp80WXFmR0+x7r4YaVOnGCK+AcQFggGwgYgqucZLEWFDF4WMFqJtB1UnBXp6AuoMVveNRmyy4h6BnymZlNppBVnSMpp5TqUysGCY3rdmSHGTp4rteTKiXUhiv+8K3K3pPmeHD3K3D5dG3fIlp/pfJ8ned+MG/2FzyOZjltDSA6flETvSE1U10reh++MTOJYpk5Y+/s8DogV4ydHVjPscW3kBvt45xJ+sHudWrNyLPX9F6/lkdNL1BjOcXUePrqMX/3iSo5m69T7LDgmDz56NU+8sFp8R15cy1On5nP4r2bzzNm56nfZrs7mXyxh/6OzPL8ocV9u7plMxV8GePnIDGJGljNFwc0483Yztb8JciJXI66rHaS/EKXlZYfT7zZ5I1BRgJ3rjVOzx2KsGFKHKYCRB60kPpe0Kij350k1GdSVp5QlQEC3qLqii5EZrlKpGTjMinVz4nYfC+adVIakABctOMrQl3OsqDyB3wvgrPcnqb7nNEtu2avel6453DZ5B/XfOcWd7e9ckNP3sas3su7erSrzLaBbzI108v7PbOKBi4RlgyT2fnTydu67+VnaQ33KE6vgmHxl9Yv81eIXSdtBGsxRkqUwSS/mYvxziDVv6iUO5xsJGwWPiiBGYX9R/x4zI12qUJejz4bAKNW+FNNC3ep6VvnSLIyeUWrHvGsyUCpnSfSUd8/5vXXrqu9d3kuiwBdGtCKEtai8meSZYiPNCkueb06ASp/gOUpS83CpDAOHCiOjaBxZJ0BEL3C2FOeUVc6RYi0n8rWMlUKkS+L+C+lFYr4cOi5VZkqNHJMeotpgjmBqJeKm4PFtT05Uqkn5ECqvDBEv61CqPw1cokZO2THI1xTRGkHV7MjEBTklyLsmXVYc3TO8zNoBpPO+5RqcKybU2FUagsp7NeRdtz/V449ChD772c/y+OOP8+yzzxKNRhVfJxaLEQqF0DSN+++/n29961u0t7fT3t7Ot771LcLhMLfeeqt67ic+8Qm+8IUvUFlZSSKR4Itf/CKzZ89WKrLp06dz5ZVXcuedd/Kzn/0MgE996lNce+21f5RiDGCgFGOwUElQt1RWTHNQBNttG21jZrSHev8oliacOk/ma9jcM5k19Se4rPwAx4t19BUreHtgIp39Ce6eu5monieoW+zJtPDs9gUQcLh36Uaa/MN0FKqxHKEsEhtUUXXzPzyxjvBPKxi7c4yPTt4GiAXx+w3LaXnN4uWvlHFD/R6CmkVPqQLt4Wo6q2qx7j7iHXQOJ1LVtP/a4sCtrdx66Xa6LYGqdQ7EadpZ5PTqSi6KiRGg5QTQbA1XQy3AiF6gzFcgOVmj0DzO+C+6Pi5uOM7vP7SMVRNF+KhUR61Ye4Bd05q4vLwTU7OJ6AWqzBR1959kaXhYwa4nizV8fMJWjv5zHZf7U55MV7hM3710E9HlQrIuyb6mbnPLxSJn6Fiujhq/ILvOjnZx7RV7GXNCnClWYyPIhDPLupgyqVeYiZU8wzstx5rEMdJ2UB30InPHx6KoUIIJN+kR8q5XYOjSOdxWMtkqX4oW/yC7sxMIGwVG7Qi1PmFUdzxXy8xw1wXu3CPn8Rnka8GFKF7W8YMOg8WoKlQO5Jup948qwqQkmsvXkFyRpB3A1EuK3xHQLZq8lHTpwqv+jmaRdMLqMNyXaybuy1BvjmJ4cuisx6mQQa265pBxAuxLNzExNEjclyFv+5RBoMxgkmnsZ4pVPHh4BddOOsCkYL+6do+fXsxwMsI9c99QniKDVhm/e/kKYnOG+EL7a4w5IXqKFTxxbCH+t6OsuW0ni8o6sFwfR3INvPjwSrL1Ll+4/jlk4Ozvzsyn/PtR9n5phNtbtjNcEsXesSenYhRdptzbS8LIUOHP8oPjl9D8DZvff3UeX5z3GjEjR9bxM7ypnuZ9FsOzI0wO9HIg18zJdBVNm0p0mpVUTM6qeAFNg1hHiYwtCMfSF8zVoRRyBQfK4x61Vw5wZF6cBZW9BHWLbCkgjOnWpDEMR903jqtxacNRnvrSAq6ZcoCIXiBviM1+3VXvcXZ1nOnhHqUIXVR+Gv1vXBaaWRUqHNELfHXJKxydVUe5b5yAX2+O8rEPv6qQaRlauyZxjFV3nlDRHynPK+mTLVvoqK328tx0ZUT59VXPk3dNkSfnioJgdfwYKyuOA5DynNMTvjRXVh9QESZy3BXUSqysOKH2Mnl4B3XLS1AXYo9+q5wqX4p6c1ShOY6rk0daLLjYnmJLZOuJHl3yTwZKUeU8L1Vl8p6TOXZhQ4yR5P0h762UE/Ka2pJqeuXnkJ5R4l4qKWQiZmQFMds1iWheuLWHRiq09jxRh+UKDzNlPSAbA49KYXjjV8ErE0KJsF6gs1ip0FWpUHZcjcO5RkzNpspMqRil4VLEK1ZyGJpDxFegwsxScHyUGQXPBkUnqBVJ2hHeGZnEvHKR8TVkl9FpJUjZQX7Tt4S2yJBCkk3D5pEzi7Fsg/smbySoFZT9ymNHF9NeM6CQZsfV2JNqZuPuGaxdcJhF5acxDaFG/H3XfHp21HPVVTupNZPiHLPi/OL1i0GDj1w8nnAwaEV59aGLSM60+NrqF8lqYm+2vGtR4Qkc/lSPP6oQ+slPfgLA2rVrL/j5Qw89xMc+9jEAvvzlL5PL5bj77rsZGRlh6dKlrF+/nmg0qp7//e9/H5/Pxwc/+EFyuRyXXHIJDz/8MIYx7r762GOP8bnPfU6py66//np+9KMf/dEfsN+K8sZPlzMyy+W+K18GRNTBgydXEP9eGY99qok7Z29R3eHv317C1J+Psf2fJ1DvT1Jm5Jkc7OPZV1fRtjPHwX9qYGnsFEXXR8yXo3qHgWMa5BebJHwOCW+sIW8WPGVFmV6krWKIE02VVJVlFPQY1fPUze7jrFbDh6tOqQOm3j+K+7EB6oMi70qqQK6t2cdL35rNzeXdjDkhBet+cd5r7Py7NqZEetVNHtAtPnfxqxTWmApl8mslFoY7iN04nqdjIBQek4L9fP4qAeHKUYGuOayMHWdR+WnVJfdb5cSMHCsTJ0gYaZJ2hEPZBtpDfciIi+FShEwpQMb2k7O9zQ6X+mCSGn9KjABtg9XRQ6ScEP2lcoJakbzrp6sY571sK0HPtE12N83mMIbmMGYHmRzoJeWEFFFRwrERo4C0lM87pgoiNDSXgi3I3Amvk8k7fmp9SZJ2hLRnCChdacV3KDxGJgQHGS6VKZ6XJOTWm6PU+ZMczjcoxGgcQXQxznMsr/KllCt30g6xP9VIS2iEWnPMS1720WeV81jHIm5u20WDf0QFSP789AryRZNbJ+2k2pciEiiwdWwSG96eS/PMXm5t3qFQmR/vW01gf5irb9rK4rJTjNoRjmbreOuhxYxNdrj/8peVS++PD6+m9mchjn1pgOvq95MwMkgn6EErSpN/WJHbnz07h9ZvOTz31dl8ec56BktRMeLdWE3DyRKnp1axKnqMUTvMiUw1jW+WOBNJMDRR8ORiviyFrElFn0PO9itFoqnbWFFw/K5SAoX1InOqutm6bA5zoqPiMDV86JpDcc0YPp+t5NuWa/C+ln38+mtLuXHaHoK6RcYJCC+pG/bRd6VQGJ4q1pDwpbm+eg9vfyPDNeF+bFcQ9LutCu6YspXhbwgnXol4JXwZPnPriwBKRWlS4uLKo1z6kcNU+1JezI1DhZHlnlmbVR5W3jWpNscYLpXxpfnrMXAYskW376Azr+wsC8tOe4W4SFa3XIOLYicwvCJVkKvFa82NnKXcyPNetpVG/4hSd8nYD/kwNRs0m5QTUkIPECqnJv8wGWc8B0siOAYORQ81PP/9S4Q6rO4pW42BpNeMdOmWZoCDVlQZ+8mCJWmHafIPi6LKSx2X7vzy/UpHepnTlvBlFPKStEOCYKzpCvGT9yKIJqHKTKkonaWRk7ybbUPHZQQhApFFgnz0FGPU+MdIGBlk5MVgqYxzuThTIn2YPls5jL810o5fL7E01qHS5pOlMM+cncvS2jNMDfcK2XupjHdGJnKwt577Zm6kz4qpEeLPDq7EsXU+N3cT9f5R0naQjkI1z7y8nOjsIT42cbvYdxyDp8/NI/1iHZM/eIzrq/eQdoVv0JPrVxLp1PjIXa9QaySp9KU5VajhsR9ewfBii6+veMHbu0P8/PhFVP4ozFP3VnPH5K2qaPvDC8up31oi/FdFJgVNVcSVHqvFCUD+CyZBQxScu8daqP+ZnyOXtrHq2uMC5dV0dvY20/5Yke01rSydcUqtjbOH65jwpkX32pgXNePdz106rg/FJdU1hyozhW656FlDqQ0dNFXojnninT/V448qhFz3/7fttaZpfOMb3+Ab3/jG//I5wWCQH/7wh/zwhz/8Xz4nkUjw6KOP/jFv7//2UXB8uDrYEUFY7LEqiPsytCcG2bumiin1HYqjAXDRwqO8HWjnlpqDNPmHOFMU3ilLPrCPQ5fUMjt6jhrfGO9lW4kZOdZ8bhs5268qf92b0UoSmanZmIiDdV3iCMvu6VABf7Ir+njrO1gt4540edeHic0nJ7ztdW9iU4t6iMBdjW9wKN+o0Ilhu4w6X5LJ4X6CWomid8gYuEramXdMRpwItmeMJ99vt1VBzMgJBZAVpcE/olxwDQ8ZkKiJHGdIhVBnPoEZEp42MV+OU7lqfLpDvT+pNtip4V6a/UO0mwNkXB+VeoGABlHdIOvYJIwASWeMjNPL3mIdw8UyAlqJmJmjyjdGoznCQKmcdn8fCb1I0jEZMwJknYDnXq17iIgIVK0wsoQ1QYqUkQ+TA30UvWt1KlfNYKGMJRUCLXK8scTjJxYxo6aXhbFxhdDesWbe3juFqxbtY2akS9nS/8POq3EzPj6x4k1V5Gwfm8jeX80ie3Ga+2dtRMZcSB6D5AsENYuDuUY6vjOdHfN0PvX+V6nyCSfp3x2Yz5TvFvjDP87ljtZ3FI/F+l0Nfgu67our1PieXIyJTxc4UV6F0SwiDOrMEZzhANFOh45MJTX+MVr9g8TNLI4JTshRayigW0yt7ufYgnbmhMdI+NJUGFlPGZgl4cswWIqSsoMsiZzCbtZ57MuL+Yspe6kzRzlXTBAzsiy+SYQxtgSGFafmisqD7Pq7DJcERgHUGPkzCzfDQlHoyKiPSYE+vvDhp71IEhEnYGIzL9rJRbed8A5SrxPWC3x2xmbVtMjRcpUvxb1z3iDsoShyhLGm4ggpR4yThJu2iIZYHTsmkLVSuToggpqFbgq/pkEvyT1hjHO1ZEEYM0o0miMcyjV6fkwequpxyCT6KxRSZaIAdExqzVHyJVONTS3XwMJA5poJk8iiQhOUw69uEdWEA/pgoRzLMajzjXK0UK/iVGRBIMdGCV9akc9lzIp8P6Zmk/YKHgOHgleM1vjGlMlhlS+l4nikb5Hcm0CQjqUdRdIOMWhFPfSnSI05hl8rsSfTguNqLCrrYLgUoconAmpf6FpGLJBjXeKI5ySsczRbx8azU7i+bb8i6ZtaiYdOL2dwJMptM3cgpet9Voxfb1pNzdQBPtQiSNtypCLWlZ+9uRYmB/oYKJXzoz9cjZHXuO2m171suCDHsnW89/159K4rce+yjYqg/siepbQ8adD1xRg31e/C0GDQKuPUf0wlX6kx745zOJpA+Z/vmUP8WyFe/OgcJq4YEE7grsnu9yYx6bcF3vinqVxZeYCMt0+VbYygOWDP1RSVoCtXQcPbJc4kKghPFgVr3jUZTodJ9NjkbbFepEu9HXQohQ01LrNLOqdy1WTrNMoqs0qwENVzTEoMcmj1ZJbXHlOIl4FL0/IuTlXXsdCfpseqYKAYJWIUKH5ghEigSKUvTcYJENSKLK84ySMPVHF5daenHhT37PUTDvDmX0/mU03veQ2Nj6BW4tY1b3N6cSUrK46r8ydmZLnklh3EfDk1inNcnbnBsxiffZWuQoUYv2kOUb3I2UKCxsAII6Xg//HZ/8c8NPe/Ut38f/AxNjZGLBbjr7ddihkJKD+d8y39ZQbO+YnJplbycnzKVUQBoNj75ycOS+KlfFiucO2Me8ZY54oJ6v2jdBXjtAUGGPUCDePeWEMqVKSBlnQNlSnn0tDwXDGhCJ6mVlL5SQlfGtvVqfaN8croHJVB1FEQ3hEJL+wSUHC25RrEPXMyiRyJHCW/sqFPOUFqfUkMzVV/z9SEx1H2vI6y26qg2RRdppKve5L4CeYABi5z/DaDThEdOFUqo1wrMOSEiep5KvQiDw8v53S2klnRbhw05oTO4qDzd0euZl3jcVZFj5JyQgyUomwYmM7BE41cN28vC8rOKIOwRzavRLc0liw7StQUiM67fc34f5Mg9YEU17ftZ8iKENBLvP70YioPlii7/xwL4sIN91i6huTXm+leEeITt76i1sYvDl3EhG87DPytxd2T3xRjp3QTW56ZT2DU5f2f2UTMk9ZvHJ5Gx8+mMnRFni/OX6++P11z6bfKVQadJAb+YvsqJrb1cXHNMcUnOJqt4+VjM7lp+m6V2wSwfnCGMsCT5N6gZrFpZBqzo13EPaVSgznCqUINBddHvTlKhZHlVKGGGaEuRu0wh3MNTA91M1wqo8zIU64L47QzxSqa/MPsyzbTEhiiwshyMNvInHAnh/MNKg8o6wRoMEc4kGui1kwiU+KF0tBVRYQUEcgoD0mOPh9tOD+ZvMLIonud7Pn3UoM5QrcVV8ikvB7nG9nJ14ZxAi8g4kL0vBo1SFGE3MxNzR5HJBgfb0j0Vd6fgCpgJWdQGY264wi2jBiRxGxJ7r40cpifDK5B11xmhLsvQF3kwSX3JRvtgqJCjkr6rXJ6CzEmhgaUEV9At9iTbqE/X8bSeAfVPsELmejv5+Y372LZ5A6ur9pDxlPGPdczlxPd1Xxq3ha13vqtcn751hrKGse4o30rzeYw3Vacx88uIv16LVPfd4xLKw+rtfwvL16PP6nxoZveoDUgohdeGZpF579Ooedqiy8sWa+M/v75tetoedWm7i9Psip+HMfVOZ2v5O3vLSGf0LnlU6+p7v97+y+h+Yc+hr7kZQB6qNCvH76CilM2F/3VdiYF+3FcjZ1jbZz4+xl0rTH48rXPqsZROv5L7o78fn727BWYYxofvf1VNTI9lavmjccXU7pojPtnbsTvNY+Pdy6hZ3s9l125m/llZ5SA5j/2raI8muVjE7d7xXCWwVKURw4vYW5jF1dX7VdI2eFMA9v7WrllwrvCPkQrMVgq97yzDC6KnVRr2NRK7Ms00xocUio4WXj3FCtErqW37s4P5JWfTY6qbHSl0JT3iBTgyHsAhIGstBqQazSsC3NGibQ756FmYb3AQKncQ/tK9HkhvwkjLXiX3tkhjRtjnupYFkeAuuZizyqps1beqxIhD+tFkqUwvcVyJoYGyKYc/mrpRpLJJOXl5f+FE///7PFnH7ra6B/BMSMMWlEVSFpm5Al4m2jWCajOTrqiihlx5gLIWW6CedeH4+gKjvV7IxjpaixNErNuQI3JwnpRwdBSGXX+hivHKXODnfx2aCmxSBaZ/yVhxPNvhO5iXI0AHFdnoFROa3DI+++oOpxtdE7majiRqWZV/ISS01quwe+6FhDyWVxTu58KPU3W8XO2WMmvd1zEipnHWR3PUa4J8vJDZy5iYFctN179Nmujh4WtgBPiJ5suRaso8u/LHyeoWVQbGXblm/nbFz7AqpUH+U7jKyQdl7yr8aOBtbx0dBZXTjlEpT+tCOBPbFkOLkxcPUhbYIBKI01vqYLhvnJOxqqYGe7iRL6WY+kaDh1ooXqnzlvVkxitCZG2ApxJxkns17HKNI4M1RAP56gMZqiOZDjXXMWUqn4mBAep8QtF2L61jXROj/OVuj34PQLvpGA/T/1NgEmGQLcmBfrIu34+NeNt9vy4ieXhQTXWWhLtoPmWEXRE4KnlGkS1HMsqTrHwy2doMEdVwSuLzrgvo7xThIlfgb9Z9axCrORjRrib9rn96qBM2mGqfCmuqd4PCB8pWQwn7TAXx4+oYqPMyHOmWEWVmfIIzC5j3uiwy4pTaaSZEuwlZYeo8o1xtlhFUg8R1EpU+QQPocoU3kUpO8i0UDenCjW0BQYYLJWTd0xhyKcUaQHFbUo5QYWeSCGBLBKk8jKq5bFdjYhRZMgWaGjecwWWSMX5qjhTsy9AJsfJn+Oyc+nrorLHbIEKNpojvJmaSjhQpKdYLowu3fExSkdBeIq1BIbUwTNSEuZ0k8IDqlDKuz52JVsp2gYXVx7zuCUi5ubRI4tZ1NTJothpKjzX9j+cm0NfXwV3LXxThZs+PHIRr2xYRGT6CAumnibphtBdhx8fXo35Roz5H97P3GgnQc1i0Krg+YdXUUi4fOr9r6rr++zZOZT9sJw37srxxRmvIZ3q33pqAbGTNiNf7/f8vUK8k5pM+09K7PjAVC6/9iB5VwSsduxopukdm2PttSwu7yCoiay/mq0aY61xzCk2Q95+lyn4iZ8okSwKHtv5ggDvX57qSKMmkOLARJ1YXKzxMU2M66smD9GVr2JNWZ86pOsCSUbflyEcLCq0qej6+MCUPbz4xZnMru5RnMqwXmTVh3YzXAzT5BdNQdYNMrOsG+frGutCQ946KZ1HvPe8kzSHsHev3X7dJuVLJG0N5kY6af+EuM8ieoFzRZH/eHPTTuym8aJCNqVfmPeaIp5Ll/UW/yBfnrOevCvUsiC4SrMi55g18ZziJqUcYXOyMHoawFMZRxQXbk6kU11buRaDmqXG0uie15KHHp5fGAHq+4l4a1Y2WoL8Lk1qNe93Fz3vNh+6Kwqqcs/EVN6TonERTXlHoZoaL15IjsLDepGThVqqfGmvESmo5uz8M8txRdRGmqBC3Cx3PAdOIqcyDDhZCmPqJSaGhIDDf54r+Z/i8WdfCKXsICU75CEqjmdwliPliPBUKXHXNVELm3qRk/kaGgPC0dPWdAUPy243j0+lPxcc4TXUEhhSCzFph+jIVhE180wKDij4PG0HefTEEi5vOcLscKeKi3hzqJ33DrTxkRVvMzXci64JGe+/vH0lWkHnjtWbifsyBDyPhid/eQmpyTZfWPcSMoVYWpTLg0MWPL/dsIKWV4u8/U2XVfHjVPtSdFsVFH5RTyqiYXxhr4DL7SDvjTbT+gxsTU9j+RUyR8fHQLKMxAGXsxcn6AyOE8/RwMn6OF6oI2rk6LejIgywvoBfL/F0up1BK8rJbDVHRmtwbI33hhopM4uEfBZlZoFpszop9+cVsmZqNhcFu3nykp8wbJexP9/EqUwVQ/kIseYk2QaDikCR4UKE6mCaG1v3Er0/7412MnRZCWWSZ35ii8eBEodg0TX428l/wD/ZZszr4C0Mqn1j3N28iWG7DB3Hk5kDBlyd2K/GahKxaPIPKzfqoGaprB2JqEnjubBmK4ROcoRsV2dWqNMLG/Spjsl2DdAg6oXv7spMoMpMK2PGsF5Qcv2866PBHFVFi3ycP+YBlKpOyuYlciI7srBeVAWG+HsltVFlPRNL29vYJBp4vFDH9FAXZ4pV6JrrqdpchYhIldrZQiWmbjMp0EfEQzeG7TI2JafTEBgViInmULB97BxuRddcrq3ZR8EzjewqxPntoYWsmnSCiysOk7SFYu7Xx5aQHQ1x37INhL37c1+6mU3PLMSZn+K+mRuFR49R5N/2X0zZ6xHm3bGfdfHDjNphzhYqef3Hy0k3aXz2Ay9S7Ruj00rw0OFlNP+bwXtfbuQLUzeQ8gwQj/5mGqFBh76v9npxGCU2D7Qz4Tvw9sensHLtcUxNuCYn366l9qRDdr6QvaPDcDFC4oBLX6wcZ6qu+DFW0UdZ0sVyDOEqLA1MEy7FSkc1MgYO7fEBdl9UxZL6Y+g4jDoi2zC0ZoCeOWXU+MeQ8RMTgkO8/iWbVY0HlUS6wT/CpZe+R++KKDPLuj0EOECtOcaqB7YTNkTxkXQE0f+O9q2MfDNCo3+Ecj3HYauBKl+ae65+WaFzsrCfFeli4u0D6ucCVYtw64SdVE9OYbvaBV5P98/aqBAKiSjEfFk+P3WDJ/MWvC1cnSXRU0T1PLsyEzzVrVDtrYwdVwWANGJVvCHdVf+dcoLe2L+gyMvS30siewPeni6J1AaOSlqXBQqMh63KfLa868fwrCTk3087Qap8okiVCHneU8fV+ZJ0WgmCntxfiiryiGvg9zK20o4JBkpKLxE9ifRIYYpQa2n/qbiQbulSeap7/B05rQAUCjQj0EOrz8VyHbbka9mankx/IYpPc0j4M9SaYxdENAV1i4SR5niulh4nRtwUSHSZkcd2hFv3oFWmuLVSEXY6X0XO9lPpT1PlS3tFk8nJbDVDhQgrKk8oH7pRO8wrvTMpt0eAt/74A/9/8/FnXwjZ6GwfaSPuzzE90uMpawQ8+vyx2axoO8VyD64sOCYbhqfw3jtTWLryMCsrBKQ7aod5cP9KArsjrPngLpVFlCyF+f0fVhHqc7n6ri20BIYI60UOphs59k8zGZlqsO4TD9NtxTlbqGTrYBt1/2jy+1uXMOHSQdX1vneojakP5dg8uZ0bGvdg4DBiRyg7ZmLkYWR5WEm9Txer8OVcXJ/rEYiH2JdrIe85MYsQyRwDpSiW46NhTi+nwzXcnDhC2g4y4ArESPtYPzGfgClPFGqpN0dZWHGW7V/SuSY6oMZ+aTvIR6dvp3dSOTX+lIqCALhphSD4nSvGcdwEAV2M7S5pP4LhQaYjVpiqQJpZCZu28mEcVyNq5qkLjDEzdI5G3wjVRo5Rx0/WCVCtF7CAGaYNnvLA1GxO+GvpDUTx6zY+3abMV6Q1OMSayBEWBmDQzhHWDQbNQU5acU5b1fRb1WRtP6YuNg/b1T0SpqO6Ubl5yJGfUD6JTcTAYcwJCUWNh77Zmk5EE1yFtkA/fs1mR3oi9f4kWTegEB9ZJKTsIFW+lFL36JrD0UK9R0y2VZda7RvjRKEWx9DJaAHiXo6acA8OqpFsgznKcEnk53UUqgnqllICRfU854oJDqbqWZc4ooqzvGPyQv8cwr4iaxLHlEz9eK6WZ4/O4cr2Q2rU2G+V89MjqyhZPu6Zt0khoSfzNbz4++UElw7xuSmb1PX58b7VlL8VYu5HD7C0XBAn+6xyNvzrCpLtcM8NL+GgkzDS/PuJtYQerGD7naNc23yAtC2crHuemoBRcBm8r4OYkSOq59g1PJfJPyjxxqemsXLlcVGsuQbuezFqzrokF4UJ+8UBPlYKUHHCobs1qNRlcV8GK+9Dc8Cn29iuptyTxyaCVVdA+gIZuMxr7GLXtVNZV3cUKeVv8g8TuLqfTNFUMnDL9XF57SGe/bu5XFV5XJB+baHYuvSGnYxaIbXZm5rNnLJzJL6QocpMqbExDnx9/oucnVlFzONsAbQFBrj/A8+pRkOQ/4VD/IqbTlBhZMl7/MMKI8snJ74t5O3ydREqpbunv6kk2N1OnJQdYmHZacxoSQkMLFeEf04IWlQaacYcqQ7LEDVynn9TkG4rTqN/RO2P4z5RJSWdlkIFOdqRETYC6SspHo+0KjGxPEFFmcpam+TvZ7BUzoFME9Mj3UT1HMN2GX1WjCmhXmxXp8+KkfBsHmTBJL8/WQyIXC9DNYVBTywh/1yINMSxJz19bDRsT7giiqesQlpl8yCfY7iu4lfJ4v/8MY8s0FJ2SCE4YV2goF2FODEjh6nZOB5362i2Dp/uMCXYKxoZT83+TnISTcFR5kXOkLJDnCsmSNsB9o82cEnNERXh47g6bw21kyuZXFO3n4DmguvQXyrnsYOLWdR6lrXxowqd3jg8jR172rlr9UbWhc8R0yOknTw/PLOOs7saKZs2Qk1ZmkLYIGebvLxhEaVymy+ufZlRO6z4Yi8+vJLUgjyfWbgZAyG++P25+WiPVFG4ZYSPT9qGVJ8+s3Eplfs0Ztx9gPpy0cAVXB+7fz0HveRS+8AuDuaaqDUNTuWqKf1rHUfbqv7baoD/yuPPvhDqKVQw+I9tnGw1af30EGEvl2nnYCsTv2vzxl1io5WmUO+eamXKb1McnVHD6vgxPDABayRA1VmHgiMu2XCpTFT3QZdMA6p6jhp5moIjbFyj4atP02lVCjOr4CBWpcHvPzOfNVMPAeMcoQ8s2cn2tglc1yBGIPLwufzmbcol1tTE2GZCcJAP3rNBzfnPFAXMXxMYo6dYITZRxPiggMtHW7ZCC0ruGvMOy9tbtqvOAsR4Q6afS18HyzWwXZ24mRIeKnaQgAe3SnfisFHwTBrFHDfvmJ7Pj9jcWyIiwdxBp9k3TFgrkXJNoppFUHOw0LC8YrO7FOdksYY6c1RleeVdk2ZzmHBZkWp/BSOlMDnbxKfZDFpl7MxNJO92AibvZNrpLlTgeAZrUq3m021MTXTZQ5YwVgwZHnribeyWYxA3M0T1PCOliJe9FKXg+qjypcm7PizHR1gvcCDXRF9BuG1H9Zzw79AcXh+cRlN4lKXRU6RLQWw0OgrVvNY5ldsm7lTjEgOX7+y/jIC/xF/PeJFTxerz+AHigGnwCyO7M4UqHt6+gsgpk5tueUN977vSE9j1w/n0L7P5ytoXRTerOfxq7zIm/Frjnb+zWBrrIOUESdtBhv6jld6IxrL7Oqg0hdpka38bE7/n8OLnZjF1Ya/yytL3Rkl0uQzOjDI/fIYThVo6c3Gq95XonBrxyLJCkuwUDXAhYhSVBNrQHJLtYDWLYkOu6TlV3Wy6JM7Kyl6xZv2iuIi+rweAGnNMebFcWnuYp/92Hu+rEREbkhuz7n27sFxdjfF0zeGi2Emqv5Km0swo/6uokeMLi1+jsNCk1kwq5+2okee+973g5Zr5OFWsJqwXhYvutadVFy7X/u0TtnvEbJ9KlDc1m4+0CvuLoutTo8G5kU5VRAEeWlBgfvgMY56E23F14eLtF0aBMnZD2hlE9Rw1vhQ7UhOZGekSe895yGPKCXqeZSFFfI/qORWkW/SM+SSnSxYDhuYo4rjcC2RafMbzqZkVOscJL5w0oFssCJ3m14MraQiMqggXA4egXlR8ETkrk59ZuilLV/4qM0VUHy/2zvdBEtYM4j1sTk/H1EssiZ7EQSdpR5RX0IxAF78fXewVaXkO5xowNEep54SJrJ/9qSbawoM0+YdVQHRXoYLj6RrWVh7D1ESuoK45/K5rATF/nsuqD4F3/U/ma3hi3yKunbmfqeFeorowqX3y1AJyOT+fnv0WFho4gm/z8KsXozdneGDO64BAa57umU/vH1ppufEU19bsw3E1Co7J99+4kthhg9idm6kxx5Tp6hs/W0q2QeO+Dz5L1OPsPd87h+K36tjyEZcpS3pFcenL8vDWlUx6osTWvy1yfc1ebFenp1RB70NtFKMa1l2HhIGlkeZwqo62H8OOD7Wz7tIjGK5LUCuy43gbk54o8tbMyVxadpCMk+a4FafjUD01+12K010qgxnqg2OUHJ2yTo1Cwqe4Vw4uZ7IJAkmXsaKhqAAAIdMiGdOIhcZtE7JuAK0hz4gVosqfVgqzgFZidHEBLJ0eK06VmaLMyNMQGOXF61wiZaPwr3/EQf9/+PizL4TKfTnOXKsRrhFmisIdtMDl9Yd54n8s5LqWPSTtsJqn3j53O+99t5kPVh5HWuPb6Hxw+Q5YDnPCnZwrJgjrRerNUT597aseiuBT3UqtmeRLlz8PiJsj6YTRXYf2UB9fWCyMJA0vJTzrBJgZ7mJScz+AIuiF9aKal0rSpoRqq3wpDM1RuURy/i0gzNx5hny2IjrLWbrlGkqaKhOh5UNEC3hqFW9MUmsmFck34UsT0QsMlcq8XC8d29Wo9KXF8/Qcfs2m6BpUGmkimkURXbkZSwJdyglyqlTDmBOi3yrH9g6247laTM1mf7aJpBWiMThKS2CIcj3HFH8vk/x9nC5W02wO0VuKcTDXxNujk3hwQJhstlSMEvYVifuzpG0/b+2bytxpZ1kSPw1AwfXxes9Ueg/WcPnqPTQFRKcb1os8uP5S7FiJTy9/QxFz3xyczMjDLZRuGuLDbe8S9gli+29fXknigEvkgQLtoT7ivgyHsg0M/+MEDi3zseiDHUjrhOdPzqLlH+Gpv5vPXW1v4WgipLXs1TKsco1tLZOYFOwn4wSoMcfUgWK7OueKlTT5h8HR8CddCo7wlUnZQRoCo7zRoqGXWyR8aQZK5ViuwazWbg5d0cbioCgy6nxJdHOEh64uUBET3ipF77u8pP4or35zOrc0HFV8OV1zuO1Dr3OuECfhy9BbilHlS3FrzTZ++zWHv4id9jhxIZr8w3x+8QasRYYKlHVcnUb/CHe971VknthwqYwBotQHk3z+kldUsVftE1lyd7S+je3FSqRdUTwkjAwfbd0m/r4X/2GjMb/sjCo2xn1rfEwMDajYCBsN2xaE/KhPoKMSfZsa7OFovl7dY/J+SdtBZoU6OVWo5WwhwYTgoAqSFQhahh7PKK/gmLQHenk7NYUa/xhzg2d5bWwW7aE+pWKUwgQbnSFvNATj40tZbMnnBryxUsoJYdgurUExapeqThjnkADqs2YdP5WBtFIGSYRzsFRGtW8MXRPIheX6VKYWoEZ0g8UofVa5MoCVPlMbhqbTX17OnLJOtT8czdbRnStnbqxLITlSsSWLORBN0rFsHS/vm8Xlsw8yp+yceo0fHVlLpj/CnRdt9riPGqfzlWx4djHxFb3c1LxbjXJ+eWA50S1hznwswdRwHwlfmjOFKsGjisMnbnxVGH26Oo92LiHwwwRv3FriSwvWC7WVL8tDL62j8c0Sh/8mxeLyDgqOSU8xhvXTOjpaDJxPHlEIz4buqbT/pMRLn5vJ1HnCIy9q5CntiBPvdMnPFDy5qJHjaLaO2p0uA6UI1myfQoIHMhHKumxG86ELvJlcn4PjM5Qvktg7ddKtUKyx1H5s4DC7opvn1rQwrfmMirtIGGlmTuvk4Iea+VisSxV1VWYK+8YhqsM5RRJ30JlT3sUL/yPOldVH1DmWd/1cO2sfR79RyxXVhzhtVXHcNRhzQty+ZgvnlsSpDYxh6rYKJ193xzbiZlYR2AGurtpP6ksnhJO65zcU0C3e17CX7N1HaPCPXJDA8Nm5b5CeFVQju6BWwtRL3L34DeW1J8ettWaSey96ndEx+If/1aH+/8Ljz74QqjNH+coa4QViuT4RUOjL0uQf5q6pW87bTA1MBDzdUjPkbR7j3V29f1SRngO6RdTI0VEQBmVyYcuEYqlGkwZzkkOS9TY+QI3WEoEBFY0hk6Etxt2tg5pF0EMv+qwY9f5RVdxIAz35nB6rAsNz9h1XgUloV6fVP8jRfL2H4mgq6f5soVK5DEsvDsk5yrsmKStIbyHG4rIOOouVJHwCSt+enEjG9itVyABRsnaAx44vojUxwtLEabVx7xiZwLHXJjHvqsNKug7wi22rCPSY3HLDG0wIDmLgsi/dxJF/m8mbi+FLVzzPkF3GqUINjxxdQtO/+ej5fJE5td2kSwHGCkHiv4gSGC5S/70xZpZ10WCO8Nu+xUz9aZa9d7Vy08Xvet9BiUeOrWTScwXGlgdJRNKKbBs7AblqE/MimwZPsq9rLrYJEb84hCN6QXx/E7IMu2Hq/UnPaTVMS2CYZ/8CWlt7SDkiTDemF7i87QjrvzqNmxqOKMfxrJNj9p0H8OslGgMj6JpL3jEuMDOUZouG5vDAqlexVgoZvuQMxIwc93/4D0Im7VkxmLrN+2t3c9nVh4kaOWxXp7cUI6hZ/NWiFxWvabBUjqnZTA9209I2hJTjirGCKEoTvrSC3oedCDY6q+PHcDzOR4t/kL5STNnsy3tFKp9k3pf0h6n1XN0rjbRAUHxpb7MUa1kqyUzPYVfXXEVQlbwIG11FmghPk/H7XAoFZIaSqQlzyj7LS7H2RpPHC7WCv+URR7OemCGoWZwuVmNqJSYFRSitFDOI7K+QurelWm2sFCKgl6gMZ8jZfvo9VLTKlyLmeTLlXZNj2ToiRoEJQaG0kpyVjYNTWZboIKwXqfMlOVOs4nfdc/HrNtfX7yWoFXF0jQOZRl45MZ0FzedYGz+qxkrPdc/h7OE6PnnxJoWQDZbKePzl1ZQqS3x95fMKWf11x1JKL1XRdvNxLqkSY9OBUpQnHl+H5sAtt72u7lWJSPzy9lY+v+h1ZIzQ+g0LaHzD4uw3c0wO9imS8fkqJLlnbTg5hak/LbDj663MaT+nUCp2xKg745BeGqDWTOJg0J2LET/qMDQ7or5rdHBKOoblUmkKU9aME8DQHHJ1Lla5rZydg5pFe8UA2y+qYWpjl8fD8fbt+b2cqark+kiPWiv1/iSp28dIRLIEdEuNFy9tOMrGv57CzV5jIE0Yr73pHTqzcdXo2q5Oa2gQ64t7aQ0Oq30Y4MbWvTh/oymVsIGgKty9YiPGClcV1gVPfHDPDS9Ra46SskMknQgxI8eE4CCfu/EFxWUFwUn6QN0ubqnfQcYJKB6Tgcsdk7ZewCHKOAHivgx3tL1zHo9IjPomBIdYUHaG4VIZ+3LN6LjCJ8rVaQkJnzY5NgWYGu5VRGj5+sMlEUsio3jCulBpGp4yNu9xt0yPqypFRAAmrnquqdkEDIHIdxXixM0MYQpe8Wf9kSf9/9njz74QSjkh6j0pYczICY8ezVaJzn1WDN0YR37klywt0MeligXSdlAx4jMeQRkEihPxWO6SZCefKx9SAdJRqKbWHKPBHOFIrp6UE1RFkHQjliGC54pxcrbJxNAAjsdv8Wsl3kxOIWRYLC7vwHFEZ9xnxXjy+AKuajtEe6iPqJHjTKGK90ab2Xu4lasW7iMazQkPIzvCv759GXra4FOXve4RvUscydWz8WfLGJ5v88XVL3voQ4hfnVxMxY/L2P3FZm5p2qmMwt59cg6BEZdZD3QzJdiDgctvhpdQ9+MgJy5p5ca/2K2IuEf6amh+K8fAxWXKhDFmZAh2m4R6xfxRkpojvgLFMg0nKhQ+USPP5EAfsUiO4RnVtMT7aC/rp8zI02wO8+N71tKdCfPz+lfpLIUZsMu5pXYH3/mHy/lI4x4A71Dy88m1b7BnQRMXx4+o78bUbK69Wyh9ZgS7OFKoJ2sHuKFuD+nPH1EJ95Lc+cDcDTDXc8P1Dv+YkePbq39H0Ss0xGIQSrAFs06Td/1Cxu2RJ5eWn7qAxCgO7oJKmJ8W6ObpkUVMCAouWcKLnpCjlLDHy5BeMQ3mCMfy9WpNAiqwFA01/pCjBKkUkaquVCkIrkDHhL9MQBlDBrUSfq1EnxUj7stQoQvlTNYOMDdylq2ZdoK6iIQwNAcMqPalGChFaTBHFM/uXDHBaVdEstwc387G/AzO5BPMinSLdaKJ4ytmZMi7fqUoifsyiuAa9N6HjBEAOGtVMlQso9qfUnETAIdzDbw73MLSytPEvUMjqJV4oXc2acvPjU17MDUbv1bi3XQbL747l/kzO7imer8aGf/4yGqKJ8r5+FUbvVwxnf5iOZ977C4Ks7PcM/cN3spOYU5ZJ/+480oSmwMs+/RuFkU76LNiFBwfO38yn2ydxp0ffkkVG788tpyGf/HxzNeifLjtXbqtOKZmM/qHRsL9Nmf/xznmhIWi6HCyjtZ/N9hxcztXXnIA21Oldh6qo/UVm5NLq6mNiTw429WJnYR00XcBYlYoGfgcF78xrsBzXJ1so41WElYaciw4OTrI+ktamNd2Qu2LZUae5sVddDRUcVl4QDjPe1EbthdWK9VDhubwsRnbee1b07i57pC6x0zN5poPvUOqFPTWtUDhF1ecof8rwzQGRpUFh4XB5xe+TmqeQOp6SxXI7LV7r3tJIdQSWVsXP8LivxBp6KN2WHELP9qyFbtFFEXS0kDXHD43dZPK3BMofIDGwAifnvgmRdfHsGfo12wO0xYYoN7vOXKXwtSaSRJGhvllZ1XDbCD8rqRNS8r2oifQyToXjgwNHCUbh3FrExlZI5Whks91vipLCjJktM35ryvX/vlcLhjndsl9I2WHhPebISKfTM1meqgbUyvh97iUUk5vuT4cNAoeh0qOVS3XR97xeVwlTRU25yuvHe97l2aJtmfweb5VTN71Ue0T2ZPSs85BU7Yvf6rHn30hFNVz2B6/o8KfUYGRyVIY6zwna1MTvkBhvUhHoZom/4jatKQR48lM9QW+LaZms31sImfTcW6o36uqfflnYg4vVBumZrNhZAZvb5pFdJZwEm30RjMxI0dPsUJZxMsx1rPPL6esE0J3b6XJP0LMyHCyUEvHD6Yx1qIz/WM96j1u6ptCyz/C059ewH3LN1ChZYkaefYebqX91wVOtlexovw4Ka/DDneYhAZd8peY490a4OqAXyxCaRI3vaqPvQsTrIz1U67nvOtUIHx5H/miqVyV867JysQJnvpSORcnei5QZ3x8+jb2fquJ+bFx/hDA7e9/HUNzqDWTFF0fI6UIM8LdVN2ziSpfSslQe0sx7p/0OvnPm9geYjJoRXlzbCoPTXuE/cU63shOIKIXOZxvoMk/zN0T30DGDOiay0gpQoN/hNbqQeXaLEmU04PdDJTK6bLiImtKF9+j9GqSHB7DdVUHaDm6klpbriE6NQ+xkKGiBVfHb5TERulEcFx93OXW45/JcYnlFekAW9JTmRQURm0pOyQOBw+9Kvufuu+8a9JtxZV/VcoJYru6IlTKDlSMYUShHfSKhT4rRlC31Kzfcg2SpTD9VlS5w0o1x5l8JVm/X4RgloRb8N58Cy90zuLDbTuUd4mp2fy4Yw0AH23dht878MJ6EUNzCLtFNqZnYGgOk8P9Ar2yw6oQlu7if3h4DWMzi3zxolcVUva9N6+gZqvB8vt20h7qE2vXMdj9L/MZma5zxwdeJaiLQ/B3x+bR8n2d9X8d5KOt29RBNvREM0Yehr8QodYcQ8fh4Ggd7Y8UeO8TrVxedUgYLGouxZPl1O50GLo0QtgQzdBwMUKk2yXXIDb8SiMtmqFonnyVx7mzQ0wN9tBpJRie7UK1OLAEx8ZidfNJXrl1LpfVHlPoWEC3qHp/J8l8kHr/qIpmuLz2EK/8zUyuj3crVC9q5Lhl7ducXlLJgvIzquNv8g9zw72bVLyEvNfubH+H7CS/GqunHOFn9tVLxQjfcTUlCFhZfoz5N5y54D51XI0PNb6L0eh4RZQ27vzsZUudr7KqNZPc1rRdHehyzDgn3KmiLWTq+PRgFyl7Eg3mCEfz9So+Rt4Xp4o1BDWLCiOrpOrnIxOW68OyfSpWJOv4FZIoCwLhbVVUozzJW5K2J7JpHfXWYVAr0R7o5c3UVGXyWHBMEaXiFV8JX9rjboaVWaCkHwiStJDIBzwvK+kbJa/bePMbUM122KMzyPclm0YRkxNQSKauOWpken4GoUCLs4rInj+PViHvIYn42IjwWweNc8UEPcUYk4IDilxu4DJcijBqhZXliSyM3x2bgOUYLCg/q4qePqucTb3tzIj3URsYoyUwpDywtve1srbhOPX+UdWQvT44jf3nGrmi/TCTw31qSvL4sUXkhm1gw//6YP9vfvxRoav/X3x0FRP8/Z6reeLUAhU7ATBQjPLgb6/k8ROLPMm5WMTP98zmze8s47Ezi8UG7VW/v952Ed3fmMzmwXYs11A32Lu/n439vVpO5yuVLFT3iLmWI6IfhktlZJwAmZKf5g1FRk8kFMqQtQM47ngFbGrjYa+F5iJjbXj+L0GG7TJqzDF6rrbwrRpWN19Qt7i87jAdX9K5au4Bj1sQp8o3xicuepPgt/tYU31cdS4GLh+8+Q0uv/tt6v3CJTrlBJkU7OdDd2/ga8tf8kIRRVTB2sRR7r7teUKGxalCDbVmkgojy3WNB/jitNc4P+uo2Rzmo63baA0Oq41RjnlWxE8w0T8AiDBOQ3Mx9RL1ppgpy+sqLfVBuGbLzWugVM5AKcqxfB1XR45RZabY+qsFvJWbKEYAmsuQd41Sdoi861eOwnL+LDtIuSE4XpEjNpAMedekz4rRYAqycsYRLtbN5hDJUlgQM11TFaySEzK+wYoDr9YUeWIN5giHcw3kXZOEkVE8LGEEZzLoqTCCmgjuPZ6rJev4lVRbwOARXhyY7XWEOYUKPXVuIRuGpl9wAO3PNvGv71zG3kyzyMHyvD1+vHcN//D6+7zOXRRvh7IN/Pbnl/CzgyuVl4/j6vz8zbW8+eBiDmUbsNGo9o3xbnICe78zj8dfWQ1AzONL/XjHxcS/FeLZ7rlqJJW1AxSfrCXzYh1T/L1MMAfJOgF6i+UcTNczYoUJGwXluXWumKDZHCZph1RY7IgVxj8qksoBNWKI1GZItWjKWdpGJ2wU6Vnj4ExPE9RKSlW3vOU0J+/WubLhsDhcvAO74bYOKu84I/hXQF8pxkebt1L1nbNcM2e/Kh4NHD5+5UaW/48d1AWSnlNujqWxU9z65Zf5y0ufxdRseksxUnaIj7Rv55MfeUnxasYc4dP02cvW81eLXlTk/7xjsix6gi+se4n5ZWfJeJ5Mg1aUG+r3cEfbO4q7N+AF8t7etI15kbNqRGG7Oi2BIVbHj3nfm6butRpTREck7YgaecaMjFq7Kc+pXhao8jpKj5neUuyCPU5wl0QDKUdA8vqkvSyzKt+YGq1LvkvKEQZ94zwQ1+M1jRv/Oa7GqB0m5suKQsyTw8O4oeW0QA+DpSgdhWqlFhsvPHzqmggeVFg5Gsv17Lg65XqOpB1SE4EeK07SDgsU0wvelWs36/ip9o1xsliDrgl0pqdY4YkExqkNfVaMHq/wlyhb2g6yY7SNjkI156fV91kx1vfNuAClAXh7ZDJPdi1SBYvMBvzFgYt4rmeuGrMDnCvE+fama9k6OlG9ruUaPHJ8CT/efrH6rJKm8dPnruDn761QghAbTRVrstibFBTI+q+OLmXLTxezdXSiikjRNYcnX1nJtp8uYMQKe1YFogHd//NZ7H16hnpNG419yUb830+wcetszwyyiO3qvHxkBmU/irF7uJkKI0PeMRm1w+zfNpnapwP0F8rUdU/bAQKbyql+bbwI/1M8/uwLoYwdoPr3IYLPVNBXiqkRVm8+SvXeEtmeMrXQFoY7GMsHcDUoWD5SdkgdUFWNSXqX+JlQNqxeO6wXiV3SS+ctJZqD4z8Pep4Q0l5fQpnrEkdo+YdjfOrS18l6cvGwUVCKrJgh0JYKI4uNxicWvs2Hr9ns8T9KCn78u+V/4PNTNygkYqAUpck/xDfnPc+8MhERYaORcgSh9erq/Sq8D8SYKOHLMCE4iN/jJYHoJso8JYf4fx9jzjjpbXb4HKZe4myxUjiOesWc9Kew0em0EjiuRpWZ8hQi47NlmbckFWoAznlIh0o69pAMcS2tC0aHYb1IwpfhFyNLqDAyNN90ijpfkpPFGiLe+BJEMSoPVlW0uGKD6ChUe748Y1T5xkjbQfZkWjiSa/BS2fu9gsnHWyPtbE+2caZYrQrA7ck2/u3wxSpFXT7+Zc9l/OjIWg+FEsTUV0Zm8/IjF7FpaCoy4sFxdX7y0hX87KmrVWFuo/PG8FR2/90Cfrzj4gu4Mb/etJrkN1vYOdpK3vUTNXL0WeWU/qOWE7+dIswsvdT6zecmM+XBPFu6Jwr0wBFRH/5DIWq2aarQ7rEqKLkGwSEHKy9QH8EPK6DHi+RqNQLemrNcH7WBMXqXQWjqqGgcPCn62hlHOf4Jk+VVHaqwbA0MUv+xDi77+FYavDyus4UE3bkYaSuATxebsRyDxIwcQ3YZZ3KVKsF6VqSL931+E19c+QqAuqafmfYmH/3QazQGRtW6rTHH+PrFz3HPrM3eoZ9lceg0AA8s3EDCs56QnmFXV+/nhro9qkCX6MIlicPKGkMWyrVmkmmhHuVZY7kGfq1EwkgrpE0WEHKdCydrYUUQ9cxNU94hLIshmQWWdUSIbtYJKITB8swK865Jq1/k3A2UooprKJRnEbWvnC9dB1SRLe4Xsd8lz8tukkWO7X1GWSyDGOE4rghllci2NOszEKiqIvR7B33KDjJYKqfgmMK2wBu/jpQi6oCXvzfvkZWlj07WCdBXitFfLOdIrp7G85D44VKEVwdm8G62jSpfyrMl8PHG4FSe7Fqk3rNQeJbxLwcu452RiYpPpmsOm4fb+dHmyzicb/BUn8KM8z/2ruSHb11K0g57xY6wiHjsiUv4j70rGbLLiOo5mvzD/OjIWp5/eBXvpVvU3jJYKuNXT17GY79fx2CpTKE624bbOPeddn67fYm3t4rv5uFdF2F/u4aNg9OUR1DSDnHwqenkH6qn4PpU47Uv3UT94wE6djRfcO22dk+g7WmbfX0NCsVP20EKJ8qJHPfTVahQazRr+4l0a/h6AqpwlGtarlPTGzNbrkFZqEAxquHTbRVabbkG2oQMo9Og0swgcxZNzWZoaYnCovQFnkVL4qfp/IjN8iVHPCVjhIQvw4rJJzl7W4mpsX7PVkDcN0tXHqZ0xxDTo71q3db4x5h66xEqP36WP+Xjz3401hQYpuzTXcQCIk9ruFRGgznC0ngHR76W55pIHwaiU0nZIe6c9DbJr4ZVt5r3vCM+0rYdfaKjyLHS/v99TXtpnThIpZFm/dhs5QJtaiKtOKBb2I7mES1dZpR1e92a2AhkIRMzcmrD6S7Gifmyyu1aSVONHH1WjIi/oEzKTM1mdrCT18dmUmYUMPWS4lIACj6WB6u0P6/1JUk5IZWiLtVphjcSALwOQ1PkaxA3kHTH1tE4VaxWvCjpli2h2oSRUZyTrBOgzyqnykwRM3Kk7SCjnsHgppFpXFu5lyHK1OHwat8Mpsb6mBgaUJ/9YLaRZw7P49pp+2kMiOv/gdp3+dbJqzl3oobPr33F43c5HM3V8fIzywgtHeTuyW8qD5Lfd8wj8NsKIh/v5qaGXQrSf/2JJQRGXT5033ryrp+kHWLr8ERS/6ORE7f5ueri/VQaabakp7D1rZlMeC7H9m9N4Mrqg4DgH1S+EiKfCKNPc9R3djxZTeKIxbGham/kIqTHruHimKiDzdAsZkW72TNrOo0NvVT7xhgolWOjMXt+B/vMCSwqG6RcF0VDrTlG5DNduJZfKPk8rtCNbXt469uTeX+1SASvMlOk7SDXfeAdAOrNEfKunxb/ICk7yFVffpMqU6BvEoW4c84WzLm2MkU7VahhRribiVe+iMy8k8qxpeWnuHTlIVJ2UAX1ZpwA76/dTYWR5YhnDRD3ZXFCosCOGTksx4eOQ9gQakLb0ZgS6VWmpRK+d7zxrONl7sV9mQuQPVxdiAu8g99AOOIOlqIsj52kXM/RbcXVfiA9noJakbRdLki53qhBoh9yvWU8FEleF8mDiep5xS/ptENk7QBpO0DMJz1idIJaiYaAGG+dzlcJTgze2NsJUPD2iIQvrXL/TM1m2I54CIpMQxedseX4SLrCT8wCTAQRddCKYng+PzIzcaQUobdQzsLoGXXfpu0ge5JNzCzvIe7LIONQDqbrOZms4qbm3aqwtFyDXx5azqSaQS6uPupFI9hsGprKezsn8/6125kW6lEK1we3rkYr6dyxarPYFzSH/akmdj02B/2yIT41eYv3uj4efHcV1ZtNFt3zngqdPZWtY9vPFjA82+WOi98Qvlu6zeNHFtH0M5MXvxTmo63bkGrDU89NItLjcPYL3cyLnKXo+ujIVlL7yyB7LpnMyqtOqA7/vTPNTHjWZv3EaXx8wlbK9ZwwNjwYIjDqkr/IVIVbqhQk3OtizRZr4Vi+nnr/KJrm4vhR54Fcw/laGzcgOGxJ2wtojgzz8upWmtv6gHFbgYXtp9l18wQ+UtGpRChlRp7668/QPVbuWXSIgnRquI+Dn61nVUU/UT2HobmcyNdyY9sedvzVBC6Nd6jmsdZMsm7tHsp9earMNAlDjBVbAsOs+bjI+BrPCSuq78dyhRlr0Buh3j5hB9mPCw6W5FjlXR/3zdlEdpZfxWfkXZOgbvGJpW8pbzuArB2gLdDPj5c+ioPOyWKNyK6zwtQHx/jI7O0Y3hhQonmLYqeZHe1Se4+krCyrOEXKcFn//3iy//c+/uwLoTE7xI0Nu0l75DXZEYf1IovLO5CZL2WGdAkdPxCkLPB8AnTSEVbgnVYCA5daX5KBUjnnipW0BIZUpS49NCQno+CYFDAJekoSefMppMMo0G1VUGsm1SjH1IQEG8RGOFCKKjVX1hYdZN41OZRvUqF25xcestOTztNJW0D1Qa3EuWIl/VaUuOe4HfQW4hsjU0n4s9T6x0j4MkqmDKi5MR4S9cipJQz3l/ORRVupMccwNJFf9Ogz6yi2FvjMojcIaiUiRoHf9ywg/YtGircMc9fkLQoJeeiVddRud9j1l0mlqjlbSJD7YQObJrcw9Y7nVSe5uWcyk/+lyEtfmcF9czYpeLlnTx3NW2zOLk/QHupTh0dZp8vAhHLsybpSfGiaSzGqMSUySsKX9q6Pn8ysPOmMTwXUBrUSCyo6+cXHW1k89STDpTJSdpAm/zBXXLybrdNbuTxxSnV89eYoi+/drdBFiY7c1LSLU39Xzfviu1k/NluZ/d1z5StqZJC2gwzbERK+NF+97bcYmktvKabW6/trd3FT3btknABnilUEdIFS3tiwG4BuK05YL1BrJumzYlxae5hW/yDnPPPLvGMyJdjrrQlxbYYdUUyJkYZYW46rEzNKqnssOIIgOViKKuK1fL70qJFr/fxk77QtPJTk4Z60wzhoxE3PEND1UWOKoNmRUoQac0zFGUjyaVgrUXBN0Bx0r7uX2X+Sg5H2PHVwx317ArpFvV+YtiU9Uqjl+FgUPsXRQgOHsg00BkYpMwyFVkj59GApqvgkcoNP2UGGS6KzDetFqn1jjNph9uWaydp+wkaRrO0nYwfI2X4Ojk5leVUHjYERMk6ArmKcLX0TecNu5yNt25WiqadYwWPblrNu3iFWVRwTURh2mAf3r0A/HeLyy3Yzp6zTM7mM8trvl5CdYHHvRa+re+fxk4sJPlFB5V1nuKL6kOBz6XkefOJqgkMu0+/rUVls63umo/+giqc+UccXZm7AcoXlwbsvzSJxyObU16qZGhad+Zl8JXWPBDm2ppXrr9mrGqP3zjTTst5m39xGWgLDah1GOkyMAoTXFKnyjYlGwgriy7oUHR2ZQ5d3TcriWTINFUSMglJlVftTDM93iLeMeNwVHduFpS2neeuD03h/TYcaxYX1IrVXd5IqBKj3J7G9dToveo7OB+JcWdFLwkgrovEts95l+B8i1PrHlEFqVM/zFx96i7QdUJl5WcfP5FA/tfdtpt4/iuNqKo3gs1M30zcxpiKTGswRGswRrly2l4bAqCg0bHHAXxvfQ8OlowJ9RERIJHxprqo6wJrEceVzJV3lr6vbB3WoQGdTs4kZWT414U2PW1VOzMgqEvb7avaoUabk/c0vO4uuuZwtVCqErspMMSkomsigp8SUjaiByJAMet+f9Mg6f9+yNR3L8YFepNqXIuOdSZL3KpuUEe++bTZF6HLe9VPjoeznu94HPQSyzyqn3j+O5kpituQryd8f1P7/ERv/rY+IMR5BEdSKHMk1kDfFx5ZeObZXmJzvkGp6MQlZO+AR5PyeD5FGVM+LpGfdUsiMItAiNtI+q1wVELrmYCIKibOFBDFfThFmC45J3g5yINXArGg3w0RUB7ZzrJWTySourjuuEKKCY/Jv+y/GNG1ub9+BDLg8W0jw/AvL8M8Z5Z6pm9XCevTMEuwna6j7eAfX1oik8IJj8qtn1xE/4rLqC9u9TUantxCj61/aOTjJ4Auf/B0Z76CK+zKqs6zyjTHoIRWZ3VXUH3ZIzgtRY46pUV30tMuYz4+5WJAV845JwCgxGtQImiXVTRs4BCaP0atHqTLTwk7Al6ben6T/1hwBf0nxb2xN5/YJO3jom8u4uvEogFcU+vjoVZtIXhZSY4mYkWFiyMF3/1ZqvawcKfH91OQtJD8ruvxROyLgWHOMzy96naghstXeK7QS92XEyOWiF9T3BKLDmxU5x7XT93C6WMXJfA3TQt0EdYtyX4454U41gsy6fqJanomhAQ7lGz1zubwiMtaaSW9MJ/xs/B4CIJEVuTnJMUr4vBGF5HvJEUjeNcFGIXJ+7yBP2iEa/SPMDnby+PBy5Vht4GJoNmeLVcR9GYXSycLFcg2a/MMeKhKi3p+kwRwh4/jZm2mmPSR8r1Kef5WB66lkUGPOQSuKgaOcvWtMEQURNfIENeGeXGbkSZbCnMknmB7pUY1B3jV5Z2QilYEMU8N9SsnZWahg50ALq+tOqoKnwpfiu4cvRddcPt6+Vd37h9INbHlzFnOXi/vHRqPGn+LBfSsxOoLcfv0mYl5O2P50I7ufmE1qXoG/XvY8o3aYgmPym/2LaHjGT+3nT7IycYJRO0zKCfL8T1ZTCmv8xUc3E/PlaA/18Y87rqTpaR/b73W5oT6JBei4FJ6rwcjD4P1l1JqjnCsmOJBsoPVZl83RdpYuOKUKcu1ciMoDLmMXy2aoRJlRwJcFrahfoAqMhfIMNeq0BwQKkPCl6bYqyE3Lk7V1z8JDrPsFVZ08e1MlV7WeUE1SrZlk2mXHObMkrpBXXXOZHOon/ZdHWBce5GyhUpjBugYfmb2d439dw/KKkxeE0N5w81sY3khS7i9rEsf5wJd3kXdNDucaqDXHCOgWn526mWx7gCqfKITzrnDE/8LFLxHULIWImZrNRbGTrFlzTDVjMmz6hvo958XICA5UWCtxW9N2j2gcURYHTf5h5oTPeghmRJGcZZaXFInIfbrWTOL3CN4wbm4rR/0xI8PhfANjTogl0VOcKyaIGjnF9euy4kSNvCJui3Wnq6iavDMeEmvgKG4qiIJ80Iqim+OIckC3lOhEjvzGUamsdw3FyK/JP4zl+dlJSkaZkfcsN3wKzZQZZpZrYLrjOWc2GjrjKHXMl8VxdbqLccKGKExkkyDNe0Xx4vHKHB8YcCjXiOOdP4bhKeRKggcW00uKp5hygvRbURoDI+p3iqlNhOF89L9+yP83PP7sCyHX44WMIA70OeFOMk6AjkI1XXaAKjOtiLki6yXIpoEpzIz10B7qw9IEBHk4U8+27gksqutkdvQc9eYIPVacJzsWMHIuxp0rBSw8MdDPkF3GbzauQHPg7ivXMynQw6F8I0eztez6j3mMzHR54IoXhTpJ03micyHl34ny8Keb+cpckVyetENs3ziTuq02J742yoqKk+Lgc0wqXohgByDweUspSDoyldRtL3E2Xo4zRVOz3ILlw9Cg5IguVBJE7Yl5RrQgMZ84gLuLcWr8KbreV6IiMUqfFaPVP6hUdnL0Jf1UynSL913/Dj2Xl1Nlpj3DO0HUXPe5rQR1izpfUsmC11UdJXt/hwrxkzLRe6a9AdNQqhcQN/gDs1/3fm9JIQFhvciXp4qgQ6H4EO8l7sswJ3SWE4U61b2m7SBN/hGF0NhoCnU4f8O2XIOYXiDphBUPo94cJe+aKkdHFkGAug6ni1VknQBTQr0MlsoF58hMeyMqLwHaU4/lXR8JI6OiMs5/PakWKTgm6KhNznINyjSB/lUaafZlm2kMjKjiCA/pO58ofX4RcyDXRJUvpQqmDalZFB2fQvkkIXXfWCPNoRGag8PqWvUUY2zvb+WGpn2E9SItgSEGS1EePH4R5cECVzYcIuFL02fF2JdqZNfbU1m84gir48eU7NzURKipDFe0XIOj2To2/mIZ6ZVZPjn7bQ+9dPnxu6toet4g+cUQ6xJHGClFyDp+zv1sMkfrdZpv3+jFi4zww50XM/ER2PG1Vu5qOcN72VbRGT8fwzHBmayDR149PlpN8waLPU1NfKBGHMr9xXLc/gDhbo2UHSTuEwKKxuAoe0qg+4W1hiTcNteO0De7gdnBtOpYTc0mtTqHP2CJJsEWAZ2XTDvK27e3cU2iUxWDMV+WKbcdJVsSartzRdG1r6g8wZG/yXBNWY9Ch+O+DNdfsh1rncGsSJcaRdSaY3zojtc9BFNT3/tNTbuIfnILZ4vjcQQGLp9f9DoTA328m5lIzCcCnKeFepi0dMAzkizQ6h9gW3qy8BSqFmtIOqrHjCyLy88AoriSJOBaM0lVRUoVQfKebAsIM8veUkyYzRoFr9EQ/JuZoXP0WHEmm70czjcyOdDH4XyDMtJTe4sbVIWwXDdhrYDt+tU9k/Cl6S7GsYyC4m/K3DqpypKFhSxiZAqAKYtsTwhio1HmxWPIvDDL9aniQBYfgDK+HLZNZUopC/lzxUpFzjY0R72OlMrLyJSCY2L6bBKeKEOinyBGtrL4MHDoKVaoAkzurUk7RGc+4SGaecWDGixGGSyUMS/aiXR0tlyDHckJ6LjMj52l2pdiuFQmGnhNjFVrzDGStkDIdqUmsPnUZK6eclCpMW3E2dTdE+fuxW+I5gnB/Xp42wqMshJ3ztmi7uMz+QSPPH0JzExx5/S3lb/Y451LGF1fz7S/OMrC2FmiXnDtj9+8hMQeg6V3vke1P0XcJ4jUv39mFf7OHPD7/8oR/9/y+LMnS/dbUR57bRVPvLCakVKEbitO3jUZtiK8/aPFPPT6WvKuyO4J6BZPdizA+atqnn5vgVISFRyT9Xtm0fANjd19Td54Tfg4ZPckaH4VdiebhTGVB3uHe3Qi5wQUeLpYRZmRp9LMUIxpONGSmhMDLKrp5OwVAWbU912APixce4Te2/PMLx+37q8yU7R9+igTP3ZMIQPDpTIurTzMrG/s4441oiBLOUGSdpiPTNrO1fe/yQfr32VysE91EF9e8Cqfe/8LhPWigknbAv18fvEGbpu4E1MTxlySxC2JiZVGmtP5SkZKEaYEe1kXP6LGjXJsMTN0DpmvIw/BMiNPjRdDUu0T8mtZYAlIP6dImvIwFR2icM+WxUtvKaZm2CAcdiN6gcP5RlVQDNtltPoHCehiVCdJ2FKxJSFoQBVbNpq67rKYgvFi6fxQRkmONDVxaMpOLWUHBUHUNVWnmXX8dOSq6bNiauMPePlULw7OIe65fAu0sJKHji9n71izx/MSI9pHe5bxm63L6LfKFXJgo/HDty/h+29cqcivWSfAOyMTeeZHF/PUqfkeNydD1gnw800Xs/tf53E0W6c67s58gu7vT+al55bRYI5QYWTZn23i2d3zCX23gvV909XBabs64adipF6pE+vL88k6PlxF4xsltndMQGaYAYqYLqF0Axef7uAEwHU1kePlXYeGhmH6luo0Bkc95DVL3Jdh4MoC/tWDYuyKUAReN3sf5+6yWFtznG4rzqRgP1W+FO2fOMKk2495ow5hEPmB5t20/u1Rbp+5g04rQcYJ0BIY4hOXbOKqO7cwKdivrsX1sd2033yUz8973ZMIC3n49Q37uPuDL7K6/Cg9xQq1Hm6buYOPTd0mxoVext/aiiN8bsYmWgLDylw1qFmsSxzh/bW7lZ/LxEA/I1aEpbFTKspG3ssTgkOqCLI8crWNRpNfOE3LFHC5Nv2aTZUvRZ9Vzqgn47Zcgy4v4FM2RNKfSmYRnijUETfH8+5kMXY++T+gWwyUourAl8iMRCvOR8J7SzGi+njkTrM5RNIOk7RDpJwQMSNLp1UpYm7sMmJGzkPpRSGTsoNUePe4uAcF30uou0KK9J1xAiyNnGDQEiHYjqt54hKdznyCfqtcIdN1viQ9xQp2jrV5pqPj8SNHs7V05KqFsglN8bFe6J2t1JJy9LQv3cQPjqwDGOdS4vDL48v5xbGLvPtcILnvptr47nPX83jXEsX51HH4Q9c8Hn7qMvalm1Vz4rg6P91wGb94+nKO5euJGoLHeiRXz7M/XcPP31qrfqflGvzh3Fze+9YCHj+5SHh9ee/v2eeXs/+nszmZr/YQYpeUHaTzB+0ceHo6IANuHfVZpTpXNmsbDkxnwo803u6ZqL4DU7MZfbOO5j8Iw0M5Rhu0yqjZ4iO8K3TB9zVSDFO536bQF1bv2UZnMBUh3OuQLIS83yvUt5gumgu2qymrgILroxRyKVSc55b6J3j82SNCrYFBwt06RkHA1JIsGdKLZOs0tBoBNdseMXh+TReb/2IWC6cKsulgqVxscnOOsOOvWri6+ajaOGrMMa68Zien11SyJnGcWi8Qs8pM8f7bNhPQSsR8WQVtTggOcucdwuU66/ixNIOEkWFZ9AS1V4/RFugn7/rVKGdt4iiLYme8g1ZTi+vqyn0k7Yiq/mXQpEiud5Saw9SEN1KNOaYcdmUHJl9LbmRZx8+AZwQoOSI9VgUJj1gpOR8DpXImhkRnmXKCZO0AQY9jIV9XcZLO8xdJ20GqfIJkfSjfSK05pojgeddHDLn5jSM68iDJuyYOgjSbtcPexh9TJNMeq8JTHwnFke0anClWcSZfScLMqOLD0BxOZavZPjCBKxsOUWOOEdcczhUrxbjGEMVOXzFKwpch7fj55RtraJgywC0tOwFI2mE29U5hdH09c248xAerd3CiUEdfMc4fXliOkdf43Ief5VwxQb1/lF3JFrq/P5mXry3xxaXrvaRxjR+uv5LKPRoV9+RoCoxgaA4nMtXEf1bGjtXTWf6+k+o7PtjRwOTfWLwzdSI3NexCd0VXVnbCBA1lrgYQ9hXRHDB0RxEQg5pFqCnFSKqccl9OdayVZoauKxzqmgfpsyrIuz5mhLvJzAmwraqVD9Uc87hlEaJGnoa7ThLz58e9UByDD054jyN/XcdVkV71/QPeqCR/XiFpMynYz22feFUVS4OWgL/vaH2HbPO4w7TMI3pgwQa1diSPZ0HZGWqmp9T6lut4SUWHN5KOKffnqJ5neeykUhJW+8bYk2ml3p9UgcI2GpZtsDM3kXUJYbIpGxRZBJqarawBdM1BB5r8w8rETsqYZZQH/xd7/x0m51nf++Ovp02fnS2zvWu16r3Lli3LljsYYwM2xgUMBmOwAYfY4SSEFJKTHpJATAIk9BrAGNxtSbaaZfXe22q1vc3OzuzMPO33x/3c967OuX6/c3KSk+v6+vedf7iQpd2ZZ+7y+bw/7wLq74ox+9T4Ie8IlZf0EKu1MqpIyTshkqZISz8+2aj8dCQBO++Fp4V2CkVmj11BrZWhPjSmTFyFalVTZwEIpEjyDrtLVYGYIa+8o3TfUwKLgi+UXRVWTpFk5fc1bMcVlyhl5BlykhzONgJwbcUpqs0s3aVKLtlV/ODsCtY1np9SsvqwaWgOx7rreWzxG8QokvcjZJwY3377aqobxri3dS8xzcHQPF4aXMCJN2aw9qYjLEt2qWLlkRc/hjWmc9+73wgMaX2O5hrZ/Y9LGbq2xOdXv4KluQw6Zfzw0Eqafm7S+9ky7q4TBq9DToIdP1tKeMSn9olx5d/2dqYN509q+dVtTXz61pdIm1kKvsVr2xfT9hubl784j3fVHCKmFzlfrCHyy3I8CwpPCOSv2hxnR7GD5tdKnCuvw20UUvaCF+VSfwVN+xwGbkpgJVy1xkJjOqExsV9KvqlUzW5Iw7dEMRjSPbJulKponvMdBq3lY4rn6qLjzcoxWB0hbU2oe8/SXHpudkmmxwOjxvA0BWFsmkmjaOhuXXSEN3+rg/taDrIkcpHTpTreGJvNmjsOcXljKuBeCkPHlvAIHY+eIGrYV/hVLSnrJv7bJW6IjgSok/jZ98/aTfdnK2iPDooGNoBfHly1A3elTq01HtwnUVpCwzx022YKEzb//a//V7f7f97rHV8ITXgR7n5oCxFdzItPFeqoMHMkzCJPPvgLRgKeiLx0O2KDrLzt18hk4onAInxx8hLL5nQpWagbdOZzor3Mi/VQbuTIulFGnASV5gRpc0J1WCljMvDlESoPGdfhojHiCk5QyswrR2IZzyDhYcnDqDQmODHZQCQsGP0FV3hiJANzLAArgDTlBSFVZLIAkl4TNiiuk4um4F7pOJqclm/Ua5eLmITg0M67wrAPHbzASl3KLV00zhaE/0ZMLxHTRLE2ZCd4vm8Bq6su0BjMnj1fZ1dmBtu72nlwztvKnTjrRfj7vdejmx6PLXpTpbD/emAxZ3/TQWT9EI90bAucleN8b/8aqjeFWP64UKIYeFwopXn7n5cyssDnXVfvpS3IbtrUPYvqPw/zs6eW8rk5r/9PYyp8EXCoax5DdoKmTT49dg1es+Do2JrB8ESMVLfHhB1WXW6lmcNJ+PgmDDlJWsIiumJWYoD9q2exdtY5LhcriEcFpL985WmONNcLEmfgCDwzPkj/k0k2pAZE54pBxo3xwSW7OfEntdyQPqEu3YRR4K7730DHJ21mFYq1suwiCz97GQOfkObgaWK88vjcLTAX1THiCwLj0+teUPYNIm3bYEmyiyWzxeUlkcCwbrOu8qw69OT4rzU0pMaHco1LIqXk1UkZtSTzg0CUDM1TJHbx7650kxWj6qnRmo0BHrQERHDLcBWqKAiWJfJaSIUZS2WmXFMXS2nS1oQquOTIVUL1Rd9SlwUwdVm4YoyStrKK3yCRAdlISKM7GbwsOYDymebdsFKUys97cTLN7FgfkUBkoONzNN/I6WwNt1QfUREhuubxi56ltCRGmRPvI2lMUsLkcLaR7cdn8uCKnbSHBccn48SIGM4V76ncyPPcwGJOvNLJvJtPsaHqpJDgOwn+YdtGYhdN3vWBHTSFRpkR7udHA2s4+c25DK1yeXzdaySMAiHN4TsH1tDyU4Nzv93NNVVniFviWZ34l7n4Oqz77Gn1e3/UtZK6Pw/x4kcXMP+qy4F/mcfxne20vlJizx+3cl3lSarNLKfydTS+pNO/Ko3eJhAbXfM4NVhN9QGPs6vTrC8/qUwnrVGdyIiGh0alkcPQPKpDWeykhhl2p0ZJXoia9DhDC2qYGx9FOlnH9BKTS/NMZEXMhVyDC5I9/OtHWlncelagvcGo7eo1xzjSUc+GyvPomo+HGGHVfOQCEcPG0gWXsUwvcFv6MJv+2Ob6+IAyWrR9g48s3knPnHJWJc+J798Ve+OBu16n6Js0hkYpN3JcLAmF4T0fFaNQGUGjax43po/jflgU6xHNJqKVyLhxHlv4prpn5LlfaU7we1f/Rk0AxJoLX7E35bNIGpMsT1xg/hyh4HpxfDEzI/10xgaoNCdYGRjlT1cVXltxalrDIH5HRLdZUXZBcYjkvWRoHvPjl9UINO+GaQiNYnsGjeFRwQH1hR+bvGtM4/8lS/+nvmzfUCqAfjulyKYpY5K6gLgoD2+Z4C3HGtMjMkT1bGLpzhXwsa75DNhlVBlili4zf1w0CGD3ITup7Pkh4JkE/03yZYTrrsi52pyZS3NkRB3EkWCOPUJCJdHLCzxiTHFoMm6U4VJCeaGA6OK2DneypuI8MbMU5J05bB/roD+fZG36PClzUinMvn1kDabp8vF52wNFjqFCXeWFI4um/779NsqOhLjmQ3upC2eoMHOMOnFe+9ZanLjIL5LGX4cys9G+nOZHH6rlyatewdIcaq0xvrrnRjp+UuLYn9ezInUB6cxdsT2MG9KwF07JPBNWkWSXx9CE6PClCWWyPE+hKkxId4K5uU+NlWV4mUtZfZYZQSfionN90yl++egS3t96nFzAE2gIjdJdElbz0kws74XpjPYz9NQpbkr0qQIgotl8dPZORr4QD9aVHhBaCzx+k/C8KTfyKm27PTzIZ9/1G+X4POgkqTUz3JY+zFUVZ8XB5Qkb+/rQGJ9u3cwlu1KheqNOnJrQOB3VA8EhJ4n+NvXWGCD4VRknokw65eUsgw9dXwdjirMkv0tpSDfoJMXz8SV6IP7c0hzQYMAuI2EUFAqjax79doqkUQgy2bwrLP1lESc5BdP/myzCJS8DUBdGszXM3ny7CnwUYx1HXD4BX2bISeL6KeUJJCTpLr12UjUMYd1WoaQXJquYE59CMLJehG1jnYyVoqxPnwrGRT55N8S/HFvLVa3nWVF2QfD3fI1ne5dw5lQ9H1q7M0BjHMGXevkG/Loin126ScnWv3t+NfYraWZ94CTrK0+pffrDn1yP5sMH791ERcDRen1gDoW/bOCl++fx2OI3VDH7neeup36nw6E/yLA8cYGEUaCrWIX3V7XsWNdIxx2DKmF++8kOZn2jxGuNs3mgRayFmFFU548cq5V8k4F8ksoTLt1XlZOvEErWsG6j53XMPIpDA2DpLpM1GpGqSVVQNlijtDYM07O2gTvK+kShF6yXwm3jOI6ukJL60Bg31p/gR59bzu3thxXfxMDj5hv2cXxFLStSFzEQTd7cWC/2UwZrranRmKW5fHLuVi78bhUzoiLSY8hJ0BHu5xPvfRkZtxHXi/TYFaSMST78iRfUd+EF/lSf7XidnpYKNTq2fWFy++crfqGMI6UVQ8qY5Isrn1fu1dJ356rUWdYHyr68FwJdFAV31B5Un60z3EeZJkaq91S/zaVSFUOOCLQ18EiZotiQLvVCXDClTPN8jR67QnmoVZoTlBt5zhVrsHRHIHMI0Y3c8yOuyBhM6oUgU84jH0wUZBitRGMl39HzhaWL7YpzXSBnSWxP5CDGdMHvynnhIGzbVJMDSeeYfv+J9yLW2nQLipghwqGl2jLjxEgGyuWUIYKQK6ycUlW7uqYQT6H4/K81VHzHF0IGviLVSvM0WSEfKzSSMvMk/cLUTNOfIpJOBPwYeVnlvRAxxIht6ueLzZzzQsqfxPajnMnXUhWaUGOAfjuFpTscyjTSHyljSbJLcScuFct54eQCrppxltsqxykzxUXwXN8izh5p5L3r3qYtIhCGgmfx96/dgjWh8cC7NwdwcYgzkzXs+dpShhf5LLilW1XrL16aS+VfxPn+Z9J8dv4mlWO2743ZNL9e4sIfjXND5XEszaGrlKbylSh2TMOea5DWx5UUX58GrctxRyhZwguF8NCYGxGo2D+NXEdmngtJO1ATeUR0hzWV5/nWQw2s7DyHzKMZKiR5/9W72DZzBhsqTjDkJDEQSNLaj+0jaojw14JvYfkuq1Pn6fhvg0GURElBrx/r3EF4tri45IWZtrI8ee3LSDl0KHAcnh3r43dXviAgZV8j74fot1OkDDGSGHHjAXQsRqgbKk4oabOckUtCqYsI7SRYT7LoAxRSIQtScRH45D2TjBu/oju1NZdKY4KIbvN2bgYt4WFkIKgk8k8fgUr1oAw2lLJigZqYal1a+tRal0W37C4BbM8i71k0hYZFEKs+NRqRh52lOcpnKuPEGPBN0uaEOsAzboyjE/UsTF4WxbwuDAP3ZNrIOxbLyi8FCGOO7lIlPzi2klWtF1lbfpZyI8+gk+S5nkVcPF/Ng2t2iJ8dJL0/89yt2I0l/mDNr7ARkv0fn1lO6NUyVn7kAKuS5xUK8/w3RSL5/e9/naRZYMyN8eyFRaT/JsrOT7Xx2wtfVRfkgV/No+K0y5nfGWN58iJFz2LXaBuN3wrx5m3zWXZjV+DKHebs8QY6fm5zYbGwxxBFZ5SqQxoTI1HsJVNcv3zRIjniUXKnjtWYXsIuEwicHhiiGnjURLPsXmnRXDOgLAkybozqFf1crK9kY3gqXDltZRn6RI7lNcIDqEwXkSfvXniIo1+u5/aak8GoUldqQILzTGQjaryveR/nfkdI5CXSDPCpm15RZ+OEG+F0sY61qbOsfvAcEd1GD863Pk24bxcaLSrNCc4Xa5DhzJ+c8yZVhgi7lUapreEhPrtgkyIQi2LbYXasj2tTJwhpLnty7dRa48T0IkuSVyKQcu21RYYVH7DeGsNDV/sv74XpsSsU2j3170SjKVEPuR+Uh5qRmWYuO/Xv9ACZlc9nSmihY+Gq9yb3huR8AUHRLor3y3YFh3LNTLoWcUMU+6lgJH22WEuNNX6FnYlwkxZrxNKEu7Xkdckk94wbpdrMkg3yySzNIe+HaLDG6LHLsT1TIVuW5lLwBE9RKsGk2nDISQZF91SjMUEEIyCdS2RH/g6Zl1cT8hTyK89BSRGJ6SXCQbM+UEqiaz5tkaEgEqRIV6mKkxO1zIwPkraygncajKaf71nAhrpTpAODyQozx8lcAwd7K4GX+a96veMLIYDLxQpyTphFiW6BsGgOI06cXSNtNMYyzIr3YQXdk+0b/N1bG1k75yzzklOJxW8OzeTiG610Xn+OqyvPAmLT/sWhm4htTTD24H6uTZ1SwZibf7GcyIjPdR/fxbxYD3kvzPF8PSN/38r5DoO5D/aKjgyNM9lq2p/x2XrfHFauv0hNSHBpzpyvpXGrz+RVYkPnvRA6PqGMhjUhKnsJRdeGxsm2aOh1k+rSjelFFlX38uZd87mu6fQVvKBl609yakE1N5V1Kw5T2syy+JOHsHQ36J6jyDyumFFkoCQUYhLB+uSCNynOE8XRJbuSi6U011ee4PoNJxTpWxYV9dYYf7j2VxT8EL2lclKm6P46IgPMbeshN81oywJWJM8r74paK6P8XCQKIuMzZNdbY45zrlij8pkimq0S2EfcuNqssrCTnZKBT8rMIVLV4+qwGXKSVJg5EQCIpxAhgKQ2iY7HSJC+Li0VpLTV9aS1/tQYRKIJycAHShYxkqw74iYwXJHeLJUmmSAQMuPEGLZFBpuM59A1j0PZFhxfZ0XZBSUh7rdTvHh5HhsbTiqjRNs3+LfLy7g8nOIDc/ZTHxLPcMhO8PMXrqZ9bRdzUv10RoUJ3NcOXkdkf4w17zvI8uQFYnqJAxMt7Pz2MiZr4IN3bgm8QDy+e2oVDX8f4shv1fPErM1CpuwkOfqDecQGPfJf6BdqEN9i53A7bV/V2HHvbK7deEpdRt0H62nd4nB2YTU15YEPjRMlfdBnpBjGXj11TNm2QcSGSddS31HSKJCv87GTvnJqH3NjzK/uY/fGuSxtPKl4RzG9RGpDHwPLEmwMZ9RltKK8i19/royb05fVd61rHvet28GJxbUsTIrxjkDuMlz3uZ3KukLGUzw6ZxuZp6K0hIbwENEhNdY4X7v7mwy6ZWwf76TSnCCiOyxJdnP9fScYc2PK30nXPO5v2YXe6k8hvsGl8+jsrcouYdApo9YaozM6oEZrUmAg94Ns5nTERR7RbBbELwcNREghBFO5VBopI68iI8qNfFB4C7Q46RdUxt+Ik1CXYiwQEfTYFQphMBB8F5fAi4Yps0fJHRkLpOUyV1GasRaD8yakOZQwsRDFuczekllg0uMtrNvKoTzjxjB0UfDI7zAUIF95LxzYRnhcsiuVC7Z8yfcti1q5b2SD0W+nhIWJZqvctKwXoeAKWbqKHvF1+p0URdckZU3xq2J6KfAEmlRNTkwvMWQnOT5Rx9XlZwNOn1gH28c60PFZVX5eoVUjToIfX1zOrIpBVqfOkzImyboR9mZa2d/dxL1z9pIKnMwLvsV3z65mbCzOJ5ZuJWXkqTazvJ6fx79sWU+saYKHZr2lBBx7Mm3s//U8Ktb3iTWoiWf8k9PLCL1ZxqwPnGRl+QUimkPWjfCt1zYQ79Z570NvKIBhyE3y+nfWUErBnXdtoz4kPPHeGmon90wju26dweOrN9EQGqXkm/zT/muY8S/wm9+azwMz3lZn5mvbFtPy07H//Qv+P+H1ji+ERp0Yr/xmFcmLPtHPlJgd6yOpT3Ig28z415q5MLeN+fdeVpfTjqEZdHzf4607Z1O/Tox7ErrNpdFy6nbZnF1UxTVVpwEBCdpFEzPvKxg164kDZnJugWJ/mCorp3xhWiPDvHp3karyCSURjelF1qdP89zvRXhPdZfif9i+wYdW7OLCvCpaI8MAysfowTs3Aai0YktziRlFPnHPC1d0VFkvwrxED2tvOYsM/ZOcoqVll7im4rTqlCQHY3nyQvDZxMWR8ULYnknEcJRzrvzs8vCSvzMSWLNLFEJ64ch/4yHyjSYC2LMyKEBKTEHR5WaWi8W0OiDT5jg9djkAsyO9ahRT8MToRYaSnizUkzazpAzR9cgAUC8gUcvPpLhTmqvQNAOPs8U60pYwDrM0h3prjIwb42S+lubI6BQHw42xb6KVU+M1bKg+RdKcpBR08z++uJx4qMT7GoXRoaU5HJpo5qU3l3LN1UdZUXZBPbt/2LURY9jiQze9Sb01hqW7nMzXseWfVjOyxubpNS+qrvGb+9bR/G8G5586zy3VR/HwGHESHP6HhZSSGvM+1aM6y21DHST+sowfPbyCp1e8zKgTJ6zb9G9ppPa4y9gXYsyM9OP6OoOlJHVvuZxKNnHtdWeUv5NTNAiPTsWuRLApN/MUK6BY7QSmn4I4uaqxix0bF7C6+qwK04zpJazbBhkvWaqoL3oWN9Sc4Ne/H+KWyl56S+XKB+hd1+8me02EZWUXlfFoTWic9V/YQcwoKfRO1zwenrcTd66uRmMg+Euffu8LihguXwuTl1lxlyjk5DgwphdF6nyzQMs8X6eA6KY/2f7GFWPxomfRFBqhvmpMqBrROV+spj08SK01rlSIUx5PDpbmKL8a1xdj3mNeI56vsyp5jn47RcEXKNygU8aEG8EwfLVHdM1XiKvkVcnxoHzmGTdGj12hvJvQpi5tuRf/R+k3EIRJj1BtCkn2oFPGkJsUAb1WQaGeQg0ZUc+3PTx4xc8SBGBD/ZmMjJBu41K9mQ1CiyUaKf/tYOC5I5sOOVq9XKpQZHA9GBcdyzcomoB8XShUMemFaI0M42k6jdYol0pVvNg/n6pIjlWpCyLcVy9yONfEa5dmc3XjeUWgN/DZNtTBmd4aHlkkzF0rjQn6nRT/uPN6rESJxxdtUWf6GyOzOPLybObddIr1lacVSvuP224gfsHk9nt2UG2O4/k6g45QdnbERHipTF23ggJCGuZKzth3tl5D88s+bzylc2v6CCrg+1uz8SxY8KkeVTi8OdxJ6i8S7HxPFetuOa2ex67DM2n/N5f9X2zmmqrTajTtvl5Ffa9HZmFUcVKTZoH6rTAyL0VktqPO8P7JJFXHHAaWxhXBP6kXKORDpIY8zEDIIps5L+mieSLUVX43huYxWetjl4lRoCzGa2Pj7FraTGPjYMB5jWJpDnOa+zhzUysbao8DUx5odfMGOP/eJExZgv1ff73jC6Eyc5LJGSXsMovGsJDnFj2Ljtgg294/SX3FuPq7Bj7LK7t48+kQd9cId1h5+Hywcy9n/6CadycEoUzCsU8s30RmcSyYiUbV5vnc8teVdFg6cw45CZ5YvHmaOkZTiM5DrW8pyawkWNaHxlRXLwseSVouN/IcLzSgM5VkDGAEh850A76IVuJ8qUZJW3NeOPB4MFU0AUili69UOir7y5xQwX0yEHV656Q+jwwjRSAtsiCSIxAJ9Yd1CQcL7w/ZnckDOGUKXsLeTAvvSh9UypXjhQZ2DbcxP9Wrst1Kvsn2sQ72XWri0QXiUKswc5wvVvMvW9dTO2OIh1rfUl3id7rWMvpqPfPfe4LrKk5SYebotcv55UtrMfMay249xpxEHzPD/WzLdHLuy3N55Tb4zHqh+NK1HF/ftoHO7xV54098PlC/JzBCDKH/sIpsTGPiiWMCTfI1jozW0/7LAtvqO9iw7Lgyswv1WCS6gJtQPiOm7uGZGprpKV5MpZGjtnaMwaW1LIyOB6iEIHQP31bAtFzF24npRdalz/KTT6V4X8cR4nqRXk+4lV99x0Emb7eYG+9hxEkQ1m2WJLsI/77DjWGhoioEctwnV71G95IKxYFCg7bIEB+79yV1Uc4IDXCw0EJHbJC17/uVGpMljAJDbpKPzdiuxpSSJ2RpLvc1v81f7rsJfyzEfet2kLaytEWGSMYKgQJIFCAVRoGOyAAy5DFl5pXvVtrM0muXkzImxWgSAm5UMNZzRDEuow8knC9VYsJEdargkQf5iJtQ/DDJd9A1HwubjBsPZOwjimgtZdCW7gbjE1QjIJEQ2xc+Va525aWRdUW8TVNoBNfXlclmmKlQT8uY4gLqTKWPT1dXSisFadAX0QXhtBAUceJzCUHGuBOhyxcGibLgH7IrOZmt5fr0CaWIs32DFwcW4Pkat9ceVkjJkJ3ke0dWc9vsI8yO9Sln8e9dWMVgTzmPrH5T8XbOFmr46WtXE2rP8rE5O9T3/50Lqyg8X0vnvSe5LX2YsG4z6sT5zk9uxAv5PP6+31BlTHC80MDukVYm/q6Jl+4p8tiiNxSC+uzWVTS95jHyhTPcUnWEcTdCd6mC3DcaGajTmfuRPqFQ1WBLz0zq/szipcfmsWbVGXVmnXurhaatDqe+VMv68hMU/BADpTLqNhtkm+OwCEUSPzOSpuqIS9/VZVA55XmmF3TCIz6OpyvVpTz/pVBErgFd84kESA2gEPF0+wiXr6tiTWKIRmuUs6UaADI35glHhNXCxVKalJFncXk3P/lUDVc3n0XXBOWj1sxw07LD7GtqZmPFeaXoTGoFFt97hPFSlLQ1QSzgUs2N9jDwW8eU4st2BRp3a+1RTv7uEPckuqfI1Do8tPgt7EUGsyK9DDllQbi2w6NrtsAawbuTasWEUeCBd29Wjby0hVhZdpGF77msvj/pFr+x+gS333lYnR1S5PBAyy5Ox8v4yr/zrv+PvN7xhVBCL/D0mhcVKhPTi2TcGE2hYZ5YuDlIFRYQpaU7tEWGaGkZ/h8gUgF/tkWHVadXDA7SsCY6ZJiyEZedVTggqfXY5UQ0J3DWFYeHjKoAgoJJuwKxSPwPIxJ50WW9COgiVkFctlOcJikvtX0RFikh7LPFWlpCw6oQmXAjDNkJ0taEksrLwm5vtpXWyAgzwgMcm2ykITTKqck6Dow1sbLyooKTLc1l08gchidj3NF4WLlPjzpxvrX3airTWR6Y8TYGHjkvxJujszj067nMuu00qysuqIvp69s3UHHAYPlHDgVjmCJ7JtrZ9fcrmGjUuOb+M8JsDINnzy+i/k9MfvXZGn5v+fOUG3lOFuo5+MocmrcWOfPnNSxJdGHgcXGyiqZXfXqvqoFW8T1mvQhD2Tjp0w79+SRUoGBnJ+YjvQoXRbsYdMqIGja9VxvUtQ9gaa4ihy5fcI69j7TyYOVF1d00hUZIPdxN2HRIm1ll2HZv0262/UUn6+LCGkFesg/csZmeYjkd4X61bpKRPmofe4mEUaBMn+RMsZZ6a0wUci0mUu4a1m0sbD675HXVZYvRXoKUmeeJeZupNCeEeV+gvlhTdlb9PXkghXWbBfFuAOWKLlG8tJVV8nvbN2m1Bsnqgp9wsSgctWNGiXprLOh8DbV2hTpKFkG+UgGpAj+dIV9mKbL79NGONGcTZn0CYZSqHLm2ZU6TQAaFMaeNqfaNjNOZH+7mQKGVo7lGViXPqfc3PaxThB9PKc9G3LhSIlmay0DgEJ82J674LEN2knEnQnNkBMP3Ay5Emn1jzaytPMdEYNYa04vsyHRwOVfOTbXHg/Gsz5CT5HvHV7GwoYerKs4FXBqXX/Qu5eSJRu5avYe2yDAxvUh3qZLvvHkNftjjkTVvKlLrL/uX0vOTNhJ39nFn40E1Evn2K9eROq2x8dGdNIVGieklXh+aQ9/XOujd4PHYutcVgvjzbato+43LW18qsab8nNrbg//SRqFCo/jICZpCw8T1Iv9w5DpmfNXjpc/MZcWS8yrINft2NU2HXYaXxUlbQi3XXSinep/PoJbAnSPOJ8/XmCiESYx45J2Q+jPX13FiPm5MIFxjbozG0CjnI1VcWGBSVykQqZog4b6qc5hLeiXvSV0gGyBQTaFRhu7MU1mWZ2akn347RcIocGvzcZ77nQW8t/kIBT9EKGgY199wiPjNRToig3SV0qTNLB2RAUaeOELSKmDJwFTP4p72ffT+XoqW8IgiDUc0m6dvfo7eDeWBSammuHvy7JacUTlSl95IhiYQ3dbwEA+0vQ1tAtU8XRQeXS2hIR5ftIWUkWM8SJ930am3xvjsgk3IyBIQiq3ZsX6Wd1xURbNsZCXBW559Rc8iZhVZXXaOESeh1r3gRpnMjfcKw0Q3rrhPUilc8EMBfymKZUiX6ylzT3kHpYzJgENWrfZjLOAlSkFOKriDBX9NJ++H1PORzVSVNTW2/K94veMLoUkvTL2RxdJEunB9KEg2dhNENJvawPZfIh5ypitRFi8gW8sMo73ZVmZEh0joBZJ6IRg1TVJnZticnUetlaHSnBCKnYCsSFCs2J6lOCwpI68QFM/XOZJrYl3ZKca1KAO20CuenqwVJnXmJBVmjvLAt2P78ExM3WVD1UnVxfWWyvnR4RUsbu3m3rq3OV+swfYNNg3N5vTWNq668QidsQEaQqMkjQJfe/UmYpd13nP/1oCcq3GhkObAPyxh81x49I6XsXSHrBtl13AbE99p5OfvreCJuZuDlPISZ16dQfqww6XfqyQcE/DymXwtzc8ajM5O47Xr2Jj0OxF682VUHXU4sqSeDVWnsDSHciuPFnHxDZNyK69UdXWhcYaW+PiVJXW4RzSbjc0n+cXHlrO27QxZN0rJN0kZedbddpDja2tZFL9ESHPIeYIP5vyOztqwUOPoeIQ1l0/Ne4MLX0rTERlA13wKnuiIfv/mX7Aw3M2fXLqdHrsCF53rUsdZ894zQfHiq9HirekjbKw6HqwTE+lG+976/UhHWanc6gz30R8XKidZhLi+yYbEMU6H6tiamY3nayxMChPKtDlOmVHgdLFWEfWzXoRaM0OdmeFgoYWz+WqWxLvARxVHchQiOBghLpbSU3b6TI0FIwHHod4auzLKI+D/t4YGOV5opOCJ5PMac5yt47NosEbVuAYInqmvChPgipBU2zcVv2vMjZF1REaf7Zm8r3lfMBaJKF7VqBOnJTSsRtS65nF6shZd8xV3yUULOBEtNEdHmRfrwTJEs/HiwHxcT2d99WnBKfMi/Gh4LS+dmsei5m5KCVPJ+zf3zaJ3fx133LiL5ojwPLlcrOCXv1pHocHmS9f+ChCKy5+fX0Lo5xXEHujhoeadjDgJXN/k335wHWYObn9E7J+MG+Pn55dQ9ZUYP/pcJbc0H1eKq/2/XEDFSYfLX+ylLTIMmse5yTTNz5gcuqWTZbddwtU1UsYkJ8/V0/FTh0OzG5nd0KciGMqP6thlBpGrpJuy+F5D4z6TtqXGVEXPwk25TKaFSapscNrjwxxePpPalhHlch7TXOYsvMTxUBMbg/BLWSRq9w5SHxECgqwbpceu4P45u3nxS/P4YP1JDM1XP/vGd+9m5GbBYZMF7VWpsySeLNEaGabBGgsMRYt8dNYOil8QyJhs1GqtDI/e8bKyLpDF/rryM2y8/xhZL0q5kefYZCO1VoaH23dgt5lqj0mE7vOLX1MqMLkP2sODPDbrzaCJjCqRwZJkl1J3Wl5IoDWexcqy8wHiE1bFgK55zIn2qn0kz6m8aylFsu2F8YK9ZPuGUG8FSiwpZ5/wRValzA4bDAKGxWcOUWlMkHHjAnmZ5p0lydNoIpNMD4wmZSEj1WDy3rJ94QsV14sU3SnEXw8KMNs3VYPkomEFRZUoSsKK/xXXp6YcIhpnkhEnrvhls8N97JzoJKJPOaxbhliH9dYY+ydaiUVEBIeM2Uhb2SscwCWKNiXmEP877k4R3f8rXu/4QkjXPI4XGqgwc7RFhoIFE1Jfuu0bhPWAeOwIpn13MKtOWZMUXFMc+J5J3Cqytuwsc0K9xHSbQTfOz0dWsrOnjWW13UQNAf9GdJtvnVwLwIOz3lZjkhOFel56fiX6vCyfnLtVHV7P9y8g+/Vmdtzfxkdn7qAlNITtmzz//GoqjvssffIA9dYYw26CgmfR98/tOBGNoSd6aA8PMOIm2DPSQsc/ehy6ayYbbjulyMEnemppe73IiRU1bCg/Hny+SvSihjXhY2ie6JICnsHYLLDrbLUZCr7J7NQAL15Xw8bGC9SY4/SWhNfDvJtPcXZlmpmxfoQrdJyliYsM/HaCReEJ9TMimsONtScofvmMCthMGEKh8cTK18kvCyuPFts3qbUyPH7zS8oro+jFyfth2iLDPH3NC8H36isU7erU6SBAV5AaK8wcRV9nddk5NXaCKR7Fwtglsl6UjDNFEh90kuz22rmj5mCguDAYdMrUWCCmCf6Fh/8/WSjIzkhkFY0x5sbpt1MYmsexQhO1VkapQCRvIqmXKDfytEeHmBEeEOt0spH9Y82sqrigPDhsL0xEcwJYWkDhluaqS0SSXM8WaqgJjQeybz2Y508ZHA7YZbi+yDeTB7zn61wqllNh5RXRtc8pJ+NEOTZeL56NlaUtMsy5UjVvDM0iZpaoi4wrm/+uYhU/2r+Ka+aeYmHyMkm9gK75PHPsGopdCe7ZsIP6UIaZkT5OFer54U+vx1uU5fEFWxSk/uPzywn/oJK6x85yQ/oEMb3EgF3Gpn9dgxOF1AOblAvxr84vpO4rYU5+robFc7rIuiIMt+8nrUSHPYq/d15B8meyadqf8Tnw/g42bDwlOD2eRfeJWlq2OvRek1KX95gTIzIAxQqDrBsV3BbdwTJd3DCkQgWqzXEx4nXDTMwqQUlXRN9Kc4IVdZd4/c6FrKs+Q30oE5wtNvPfc4JDvQ0kjKLiqWxInWD3ky1srD+m1n7eC/GB5XsYWpBgYbJb8aWaQiN88NOvkHFi6nLUNY/r0yfJPNVF2pxQnLqEUeDpq18gsyZGvTVK1osSCtRaH7/tFbE2gk4c4I7ag9xZd4A6cyxwZxfKx0fat2FontoLghhe4rH2NxhxEuSC0F0Pj3mxHvS4r9aavJTnxnqpNscpBSN1ScLOaUHh7juqMJFrWXIT5UuigG7wM6dH0Mji3gs8zaZGL65yTs56kSA4uGwa30oUCd2lSjXSybpRJQMXvzekkI5YsFdzAald/lmVNcEle8p2Q0aOJHWh0MpqkaBR1cgFZG3JETPwlas2QKUxoTIcJU9KFhzTjTUlv0rXvACNNRUfK2XmYRq6P+IkFPIvaRKW5tJVrELXfGVk6GnimZ/K15E0C9xUdpizpVr6bWEvcCxbT1tsmJbwsKJqnJus5qX++SyruBQEKIuYk7fH2jk/Xsm1dWdZmrioYkT+5dRaapNZbqk9qviZXcVKnj2xmJaaEW6qPa6QtL3ZNja9Pgt44T94+//vv97xhdBgKcmLl5ZSLFh8dNEOZkd6KfgWx3P1bH59CeE5Gd7TfpiW8DBJo8AvepaQ+34Dzt0j3Nh8kvbwIHlE91XwLNpCg2pGn/PCbHpxKbW7XQ59ooG5VX2UmYIDkvxlEs/UyH8uRMoXpMqMHaVmn0tPPAFzUR4Ug7k4VghCphuYBIpYCX1elqFwkrhRVFyFtJVl7D05NE3MmavMCbpKaTZUn+Kn/y3O3U0HqTQnOJpvZE60h4cX7OTEf69lTrxf+WjUWON8/F2vKE8gyRmpD2X45F0vBpu0RK8jTLHmxnq5dt1JThbquVSqUl5Jd1QfIFMZVz5MonCyuKbizBVdiO0bSm4NU1JOF528G1Z5RrZvMOLGFdIW0W3l7C0jCGS2UKU+QdaPqjFITC8Kwz24wiQx54UVWRYI5tFx9f5iehFDEQHdIBRxyiZgOtlbvmzfvDIIMZCliyKzKji8JtQYRXruhHVbOY3/bd+NNEZEN3myUM/MSD+VZo6GWIbRIHxWRxRepydr2NI9k4c7d7J5bC4bK44x6CT5ytHrKeRCPLFiE/WhDLrmcTDXzOs/X0l83SDvb92nOs7vHl1N4s0YVz28j9boUIAkhdj0L2soVMMj73sJgs/848MraP+2xqtfiPDu+sM0WKMcmWxi6JutuCGN9sd3UmHmCGkO2wY66PyGzdaHZ7NuneBgjDpx3BNJGne7jF8TZVa0j7wXZtSOEe/xGa6PKeltWPMolCxIaSQCgz5p0zC2yAbDV0VawbdYUX+JLR+cy62NoqiPaDaYecru6iVXCqnRrYvGDTUn2PzHPrclppCmWivDvdfu4NyKNEtTXQpZWRS/RMOjY8jMqZwXptbM8HTny+x4dCYL492cLtYR0RySVoEn176KtECwfZOCZ7E8eYElN3aJ/W9MKt+yq8vPclf1XgadMkWE7rEr+FTnGxiax5grnsfGxFE2ufOIRUtXJKjbXphqM6vWsWF4apxdb40pVM3zdQx9ao/JzzboJK/w/yp4U/xES3PJBH5Tcq/Komo6PQDfU//W9g0sf+qzi/G64DdORyElmttdqqQxNCrGpdMsOOQelMHKluYonkjek2wpMS7NelGF9JUb+UDkYSjkXv5/mSlYGYwyvUDp1hoa4mShnpSZV+afaTOruCnyjJE+NzPD/er86i5VsSM/kworHxC5fSqNCS6W0hzONjIv0auMa8UodCZZJxyorGy8wEPp785cT1tqhGsqzqgR2/FcPa+dnMNd8w/QGe1X2Y4/6VpO36VKPrTqLWZG+oWS1U7yzS3XoVeV+NzS1xSfdMSJ88KPrqLmpm7ua3wb3RfP4plD1xLbFWPuB05wdfnZgMgf45e/WoeZg/d8aCvt4UF67XIuTlZx8B8XMbjW5fabDiiTw5+cXUb66zF23d/Gx5dsU2f3L3avYMbPXHb/N5107YT4ztwwB38zl/QRh6Hf7acjIhqyM5PVxL+X4lJnJfkPnsHSHWFjMdpE2z9pnL+jgdStexWyva1rBm3P5bjw//Nm/899veMLob5iGVU/jFOK63iLNC6W0rhoTLoWtW97XE4kqZ01rjaD72voro+h+0oWKf0NQFysnVaGHZPNDDplVK3qp6smzdKyUSw1yx2l6RPiUmgJDat56D3pt/n+UwYrw+OkjBxdpbTosma+Se9TgqtUbWa5WEqTdSM8teAVsnPFIRXSHEq+cJL+1Pw3VVJxXyB3jeklPjxjF5bmMObGSFviII0ZRa5KnVXQb8aNEgsOj5ghOEdy3CErdek2LeStAlUoDwL0pHRe8EJEATISJNTb2pQMVpLSZfcEU0q0giecdg3NozU8RDYoZgBF+rZ9Q83/ZcJ6OPBEKXoWnqGrjsnA42yhhpbwMPXWqJCi4ws4PrDPlwVNr11OXzFFQ3hMERZzXpjjuXouTFSyseaE+rsTfoRvHruKGelhbq05oqD7l4fns3/7LK7fcED50GT9CM9s3oiR0/nY7a8Fl7fD3mwbB/5pEWMbJ/ntpa+oguzNHfOp3QUzP3uMmyuPMifUyxd77iT/l40MLrZ45H5hDmfpDs+fWMCsvyrysz9bxr3Ne6cuo+1lpPo9RpfEaQyNYuDRnS8nfcShd1GMvBsGQ1xIaD6+Ibrq2eFezpVqOJ9PM97hQbVMtfco+haLWi9z6K42bisXRpKDTpng/XxwGEPzaQkLFWPJN7mp/jgvfWket1ddVvyHCjPHnbfv5Oz6NK3RIbKuuNDnxXqo+OxmVdgM2QJdeWTOdrzZulo3Etl48upX1D62fWESt7rsHC1rRxTnrRBcvvc27VYy8aEg6iKiOdxac1QodrwIboAe1Icy1IcyjDhxPF1HJmjPivROpZR7BnktRNZzBeIRZDtJlEAWDLK7l95L04tmiZCEdZGaLhEwXRPFnZRkS77WZacCD42kUaDgh9Rakfw0kX6eVyNNKTZQ6F9Q3EiVmPSREbwrT/1+aSibCcJlpbeY/F9JBjbwSZvjZL2o+rky2kaq65LGJD2lCoq+ScqYFC7piPyvo/lGbN+gIzKo3g/A1pGZzE320RIaJutHKHgRTkzUM1qKsqz8klLg5b0w3z+3khkVw6yrPENSF0jJgVwLv9qzlI1LjrEo0U3KyJFx4zxz/Bomh6N8aPVbpIy84G0Vq/jnn99CdMkIn5/zahAE66FyDd0IaStLuZHnTKE2eN7iDJJn5qah2Yw800rfrTYPLH0LEEjV199eT9tPYejpOLfXHsHSHHrtcvb+YBGRUY/23xomFZkkrNlsG5tJ4m/LOHBDmmvuOKPWzpbznXQ84/HKU3PonN2v1tfYW7U0HXIZWxoja0WF0W5+LtW7dXKNwr9KnvsvDc2j7LzLeGFqvdi+gVM0CI37xI1SQNgOisWwj6+jxlQVZo6MFSXbplHZOBag4KYQxiRy9K8sp7m2Rz03XfOYPesyp9/dzJ3ll6eI0ZpHxfo+uuenuC3eH5zhEapDWfIPjlETLahxrYHPnfUH+Oqnr+OWtmOqIE+bE3xg1j5e/J12uPv/6Mr/P3ppvu/7/+u/9v+81/j4OKlUij97ez0vjK8gatqsqzpLQ2iUOjPDC2OLGComaIsNU2Hlgk5EmB9eKFQxO9ZHKCgqpPR2+oU6ZCdpDQ+xb6I1QCocYoEBoDx4AOWULOWLMLVQpRyx1xak2SGnTC1YOWKQvjeFgLAtGf0iKyhHV6mKcEB8nC6ZFXB2UfnQVJo5tZDlS0rgZSczFXYqVFCS3yEDJJtCI8rbR0LBuuapCBGJ2Iw6cXR8dcgDFHyTy8UKaqwsaSsr1BiFWmzf4MBIE9fXnFRqA8/X+WnXMkzd433N+/B8cUmezNfxq82r6FjazbvqDpM0Jsl5Yf7p1Dp4s4J3PbCNtsgQBh7H8g289t015Fo8HrnpddJmlohu8w9nNxD/6xQDn57k0dlbAYFAfPNHt1Cz36bzS8e4seIII06C3ePtnP3DuQyssPj4vQKmNfD56pH1tPyDTvGLGR5u3Y7r69RZYzz9jYcx8/DBj7+qHKr3T7Ty5o+XY6/J8vkFryok6VtnriJztoJ3X7tHcWA8X+fvDlxPQ3qM+1t2qcTvQ/lmXrw4l7vbDyo0LqaXOJJrJOtEWJc6PW2die/8TL5WZc/J71he1Ckjx4ibCPLfsleMD6cTiWUha/uGgvvFQS2UXLLIjOtFGsxRtmTnEjOm3KcjmkOlORF45UwZTBp46jlIsrdER68k/08VFRkniMsIilepNJHk4+lrW65rWRTLPDz5LKY+h6Y+c8IoqJynUnAJSGRyimelqUJLngOeL9RgEmkoeBYeGjq+MheUYxrbM2kNDwkn3+CZdpcqFVoolZZDdjJIHXfUpdxVrCLvhYL1PYWOwhQ5VnItTk/W8PZAK7c2HlMWBRNuhB+cXUFD2Tg31Jyg1syQcePsyrSzY+9sblh1RFln2L7J3+y6EX3c5PEbX1Lf2enJWl794RpiNwywvv4MtZZwuf/7gxtIbYoy48OnuKbijGrSfvbPN1BKwoc/JPLlQprDdy6txfjTKs4+qPGltb9Gx+N8sYYf//w6ys94rPv8LlrCIySNSXaOd3DySwvoW2vy8bteVufUn+2/hfavwfjvTvDhtp1q7X//ezcS6/O54XPbmRXtI+eFOZprZO8/LGVwuc97173NvFiPKvQyjsiPqzQnlEhjReI80txS8n2O5+p58/mlpFYP8N7mg6SMPBHd5geXV3N+XxPvveEtWsIjCjn9+fnFFCZDPL5oi0J+Mm6M75xczbzaPm5NHxFr2o0xZCd4o38mtzYcE4ixMYmBx9vZdrJ2hLXl59TZL99LwigyO9anmlLP1zgxKUbZUmkp74AhO0lTaEShLdI0FoS3kyykQaBfdaYQ/lwspRmyEySMosqLnJ60INeg3KOS1F9p5tR6l+tR+qyJe2DqLJIIp9yXshHyfB0/P8nvrtpCJpOhrKyM/9uvdzwiZPsGt9UfUUVEv52i5JvUhcaZER2kLuBcvJ6ZRyomMrY6o/3iMp9WXMhNMerEybshYkZJQL7hMdKmMIEDMR9Xyh7NxfUlRDzl8CtfWTeCpQs1WUiy972pMD3plWNpDg3WKIcmm9WGwDcYQZCWpUIMpg5dKRWW5mOG6yneEMDxXANjdpQVqQvq/ciFWcBUzqMRzaavWMYr+xayfP45bkofw9PERvv+mZWUjqW487adYgN6GqNOnB/9+HpKZT5PvPsFtVk2D84m/5eNXPqgw5PLXyPvhagPjfHXr99Gx0+KbP2yywfqdmP7JkNOEv9H1RQt6H28nPbwIAYeJ7O1tP+6yKmqWty6I8pcLTsao+GSS3ehnJbwMIYGUcOmlAI3LsNHwxR8i/mVfWy/toYZ5b14vk4yOHgar7/E+Xlp7oj3knVFB7ww2U3X5ytYEcuo527g8bH52zn4F80sK+tSXIk+u5z337dFcY6yXoSCbzEz1s/Mh1+gPAi4lJfKgx278GZMzfNlofDUspeReWK65nGmUMusSB9z5/Qo4qK0NZgdmwo61TVfEasNfFYkzyskRlohyO9eZtrJWJnptg+yCJeFrVyzsnABwc+SowCp8sm6UVLmpELoADrDfVy2K4T6UXMYchJCHRcgQvLnVptZxtyYQDI0pinBplAV4VIuDmz53lxfV2jjkJ3ECPgeBAhLb+A6LPPwXDRVwB8cb2J2ol8YWAafa+vYLMKGw6L4JYUS9dspXu2dw7W1gvcjiblyvCN5R6rZ0adSs6V9xg8vrGBkXw233rJb8cXOTVbz8ssrKFW4PHrNZmU4+ONzywn9sBL9oQHubjqgGpRn/20d8R6f2BPbaQkPC4WNI2w7RGC0rhDL3+xYRsdPi+z8o3Yea95Mj13BwfEmUt8t48KScmLvO6RGzrsvtdDx0xL72hpZnhQRNxk3Sux0iOiQj73RUM94wg0TGfLp70/R3jaoEN5Q2MaJxoibJTUmixlFMrNd/JDo/kedOK2hIVZUdfHL2+tZ2nGWkm8SCpyzU2sGGF8cZk60V6xDPGbH+tn+yAwW1fQp40oXnbvmHmDfHzVzd+0x9axTRp4NH9iNpbnUhMaFKAWRcWV/ymBRoluZLMo1JAtQuVfbIsN0ldKqiRF7JcnSRBeL7ulWqEVEtyn5JnfX78N611QY85liLe3hAb4073llFyINZRNGgSfmbUbGOMmzQKqUhZo5rpC4ufFeqs0sI05CFR0GPksTXWqvy/uowswxJ9qLi9hbF4tpEUlkFBSnRw+QuoJvqc8m/Yykk3Rt0LTINS5y+aYEGKlgLcrGIax5CrXUNS+wBxAZmNLhXKhyBTVENl5y78i7IRO4ZRc96clV4r9WM/b/F4WQzgxrhGE3wYVCFY1hkdIcCTqocS+KgcesWJ/iBsjOztJcPE1X3ZqhOXiarkip8nLoKqVpCQ0BcHiymY7IgDrke0viIpfd6qVCJabuMSsydYllnBi/7lvEuvRZJYn3fJ09mTYO9DVy38w9WJpLhZljwo3wr4fW4nsaH1uynZghVAS65nGhkGZhrBsZU5HUC3z7wlqsb1Zhf2yYu1v2K9j81VeWUb/NwfqSy/ryk0INE5AW816IvBtmTI+RcWP0TqaY+f0Se++fwbprxMjPwmOiN0HDAY/cTWE1l884MfBB8wWydlXyDDkvxIzEMK+vaKOsLEveC9EZ7qfPTjFrfjcnP1LPhysuKm5UyshT8ZEuXF9XZm4jbpw7ag+y6U+L3Ft5DBddHQKPrdxCZmksQEtEFEOlmePp+/6NnlIFgCJIXlN+iiXvu6QQhEEnSaWR48NNO+ipLVfFAoiu596G3arDEiGgYhy3rvy0+o4NfEbcuLrkpJO1PLzkaERlbmmCHCnl7bYvRoUS7ZDcopheYhRhcFZ0LVXYSi+Z6QeKUCFOFQYyKqboWViGq8zKRPCpuBAm3IiyPQjrNrYXIh34Swno3lTjkulp1bIzlKOw/qATlKoxO5DSnyg2UPQsGqxRLtmVFDyLo5l6KsM5VpZdROZBnZqsY1PvLK6vP0VjeFQhPK8NzuVyJsUDHW+rIuz0ZC3PbV/OkiXnWF1xQX3+bx9bjXY2zrtu2UVntB/XtxiyE7zyvbWMz3J4dN1m9fy/e3Q19T8I0/uZMm6sPaGy/PZ9dxHo0P7oYDDmsfl5/1Lif5Dgx4+u5KlVL1EIfFSA4IyYkkaHdRvX09Tz8nydom/Qd7GK1h0OfdeV0RERTVKZWSDWq6ksP8nHScfyDKaqqLZKCn0rN/IUOouUKiwSRlF11VL5kzLzgQ2A6PrXrTzOnoYW7qk6z5lAkn1d5Ulee1KnMUCZC56Iobl3zl52/1ErH0ifVohchZnjgx8UBPW8G8bTxahrUaKb6s9NUGtNmWRWWRM8Mmc7+c6wQsBANFVP3fAbdfEOOUkGnTI6o/383rt+gaW59Nsp5YH04badyi5BWIbEielFHp61U61XadRYaeZ4oHEnWS+KdLCP6UU6owPKHiXvhxVBeFYQVCsaHLGmBe1hyvXaRQT8yr0lR4Fif5qKv2Rp7hWouB5YPaQCRa8oZsKBsaj4fqRKSiKv2YA4bqhxq6POPmmYKdeXrnkU3EjQPAgXb9cXZ1FEcwgbduDgL+gbY25s2vgp4HX5Iug0ZhSVDQWg6A8N1ig9doW6AywtiPnQHWVHIUeyluZiBTYBBW9KmSiLGqkOqw0Nc2KygQpLROvIkblovCKquCp6liJ0y2al4JsMlmL/zpv+P/Z6xxdCAH1Oigk3QmN4TM3M814oiIyQnj2i28w4MV7tn8Pc8n6awqNqnnk8X8/mC53c0HYqGDmI2fo3Tl/F5Mly7rvlTeZHRddQ8C3+6sV3Y0xqPHSH8H3QNY/juXoOfHUJI/Pht979HAYeSWOSZy8vIfSH5fzLx2t5YMkuaixhnPfW9rm0vlTi7J9U48U0RVQrfzOCUYT8opAiFId1m5pg5isXc0wvkgwXGao3qAyJxWvrggOQWjLEpVgVq8PCZVYe3vnASbrSFBLbmeF+qIRnfzfOh+pPKRTARefxa1+ja3UljcFzcn2d+tAYH/2QgNOrzXHOFGspeBYL4t2suO+82jx7cu1UmjnurDuAXr+fMn2S44UGMZ7U4K76/QoNSBqTdJWqaLDGuK3qEOVGnoulagqexeVSBWHNEaT2aSTNRmuUtydmUBMSWUZDTlLBr3I+DygeWMG1rkApADUWkhcEoJAy8Zx1NdrBR0l0ZYEr34v4PeJAFaodW/w93VHdnkRJ5EhGwvdpc0KZekoFhoghEV42eS8kzBD9qfFMV7GSmF6iwsqRMvLq0vll12Le23KQiGmrzy5n/nk3zMbEUQ4UWkTG3YkG1i8/xuqyc8pl+B/2b0DrC/PwTcKnyEVn33gre3+wiPGVBX535QvkfYGQPbPnOupfsJj3W4dJlQkiZdaJMPqPrXQ166z/2Ck11v3Nxfk0fNng3z6/hCcXvS6+AzfC2S3tRPt9wo+Lw9VD40Smlhm/tDlQ3syGqlPqYnMGotQd9hm7IYYbnVIemXkfzbty1FZVPsFYZ5zOSE7lq8X0IrlrJ9A0aLDGVBDnVdXn+NEnVnLN7NOKkyGLr1orQ0S3qTbHeXZ4OeVWnvpQRn2nsrt9bN3rHFvSwLIgT0s6Vt/5yBY1dpB8t421x7EeP0JEs1XIZxGLz618jZSRY8gpU3wWkRxeUCMI2zewgHXlZ1idEjlsBd9UvkjXVJyhEERfSBSg3hrjpppccAYIM0jD92kKjRDRbC75lQCMe6JrbwkPB2iEyNy7ZFdieyZNoWEKQeDnlBIqpxqD6QV4nhDlgdu7vPhThqOQylorQ28pRcwo0RIawtAkB0s4gPfmGxWyIGkCQkziTO2PYKQpi6FSUMxIUYMcK8mXNP2UCLw8A+SamX5eTCd6S9qA7RtKHSwLj0jwmSVVQuatyX8rOVPAFN8xeO+ZAM0FlEt23gsz4gjUSPp8yb9zPp+mEBHFrSwohpwku0bbaIiOc2vFQS6UqukqVdFXLOPiRCXXps/QEB4DRGH1Yv98Jm2LW4IxnYFPb6mcn55ZSnPFGDfUnECGJp+brOb5/YtYOucCayvPKZ7a8/0LObWnlRvWH6A1cAT3DJ1/2ncNfs7kfWt2q+DwITvJz369Drvc44nrX0aS9I/n6tn1vdnAr/+/3un/2S/9f/1X/p/9cn2dr754C9/9zYYrDrLD2Ua2/MMa/mnz9Qrec9F5qXce5pcreXHvIjyZ16N5vHR0Pm1fdth6eYaaaYZ1m+LRcppftzmbqybrRmmLDDFkJ4kM6kQHNDymOsS68DjZZg2n2g4IkWJzd6YGOXdnlFnN/TSGRoONEOOaa44w9tkslaGc2rT11hirH9nP0k8doD40RnaaGioZdHC2ZypJ9x11h7j30Vd5oEnkymQCSPYTM7by9C3PBWZguqrqi56FpTuqYJTkwvta9tAeHlQbTxwkRRbGuhWXQsotY7pIAL9YSgtlS2hMFBuBIqvkm9Ra4+pAnXAjDLsJ0uaEMg8TI0bR5Q46ZaTNCbJuBNs36XPKkUo0QB3qopMTHItxN8KsaJ8q2iTCJ/6eHzwzX0VsyMtIjHHsgDxqq2yvZBBvIrKcdAZKZVcUSRHN4cRkA3vG2xT3RShoQvysZzm7x9sVamD7JjvHOvjG4XWqKyoEh/M/vrWBvzm4UcHE8n1KE075vgC+ueU6XnxmHX3FlPoMXcVKdv3VCn762tVEgoKv4Ft8c986Kr8c4ZW+uWpvyIskppewdIeXswvFZ8sm6PhxiV3drUIJFDQKodNR0gdg2I5PkWWtAuGMDIx0gotWI1meJ9ukE9ad4AJyaQqP0nOzg70my9vZdtrDg8wID3B982lOfTrMxo5TwfsSRP6rbjlEwz0XlOS7xhrn2vQZ0l++wAOLd5EMcpsAPnbdFq5+ahdXpc4ownVbZIhbP7mNT65/TQXHTrgR7mvZw7sf2srK8ouCl+NZ6JrP7y15gS8sfkkdyJbmMivax+dXv8L68lNXKIwkWnOmUMvpYh3LkxeoD2WUB5JUMNm+Qa2ZYV6iJzhjpN+LqRBEyZOQxZPcTxItlmONbGCuJ8N3U2Y+KAJEISv3QDEYC01/ZQNlmCyapt6jrpq36a8RJyEEEp55xThp+notBghKpTmhYkUk6Vo1GAGZXHxm44pzxfYNVQjKl+0LH6C2yBA11jgjboLzxWoarFFAmHnWhMbJehFVcEmeTNaLcL5YrdRi0j2/t1ROV7FKnfHytXu8la5ilVrLsnCUGYbS2FOOOKW6DYTSrbdUztf3XMvRiQYl5XfR+dmlZXxj+3r1/qQFxzNbNvI3O2664vs5NNHE1779Hn58ZjnlRl5Fjvzs3FJ+9vcb2T3WqtZu3gvxgxfX88q3rmKgNMWbOZBt5tjfLeAHO9eq/WBpLj84u4LMH7awo7eNiGZzoZAGYNOWJRT+soF9mWZkxNKIE2f0h03YP6wl40TVzzmdq6H6mzG6NglXWslF29Hbxowfexw4NAPBOxRn8fGTTbQ9X+TkWC0NoVHFaY0dj1B5wCBmlLA9UzUTyS6IXTYU2izG+AaR0SvX7//t1zseEfLQiF/WMfM+Q06ClCF4DE2RMQ5UapASBmWV5gTHJxuYW9HH6++qo62jhwozpxbsLfOP8spTc/lQ+9uqYLB9g7tv207XhkpWp84r5+a0leWBD71Kxokqj4WME6M9PMinPvRr8l5IeFK4YQx8FiW6mX+bMDSTh0xML7E2dZYN5cfpLlUF5GiRLlxu5lkUu0Sfk1KLcMSNTyM+S7MqcQjJsEJLc5X3S6WZo8EaJa+HOFOopT40pngqsroH6LXLVfyFLIIApZSRqIjtmXjTyddaUXFTpFmYRK4kB0YiXAQXgLwkpsO3EkIWPkfCAymml5gZ6SPrRun1hGruZL6WufFe5Xcy5JTx5nAnIcNhY9Vx5ZB6tlDDz48vYU3bBdaWn8VCxIp89+Ia+g7Xcu+N25gbFd4yGTfGt369ETfm89kbX1QH7s96ljP5TAOTD43ycMdOXDQarFG++uxt1Oz1qP9ihlnRPgadJOcnq7H/qo6dK5pZfd85dRltP9xJx49ctv9hBzemjyPVeuntFk4sRP+cMmZF+gDoKlUpB+eEMUVw9KMepTKDqGEryLw+lGFwmYbVNqHUOwDr55xiy0fn8L70RSCQUOui2HR9nZhRVBEs9898m61f7uS3ag6Q9SIMlMqYFe3jgbtfF8oOK6vI9NeXHWPkkzE+Wn5mqjjSC3xq9ht4s4SkOhugCUmjwJeufg4QSr2sG6XbreT6smN0ruoX6js5RtBsVpadp5AU+0GOAZNGgavLz+KqDCdXZThJZEzuI0P3WRDt5mShXu2DUSdONhiNK2fd4MKLW0XwPQadMoUoSIdhqYYC0T2KIN288mJBR5mbTieC1lqjKr7hxrIj7MnPwPYNKs0cUnpO8PPkepdIkCDy5tQlLJ+vJGdHNHuK+BrsJRn5IQnpgAqnlWtsyE4Ke4aAa5IJzC4JRiJJo0DWjbA5O1cUXAHHQyIZcsQox8sDThk7hmawuuoC9aExhZL+ZmARvdkyPti2RzUQRc/imSPXkkpMBvYORUqGyc97lnH6SBO3XHWAikROnRtf37YBzdN4+Jo3qLHGcdHYk2nj6A/n4W0c5ZOz3lTF6TN7rqPqjRALPnGEtamzGJpHbynFa19fS7FC4777XhecGc3lN30Lcf60lq33w5OrXgvGXy66QoE19OD7fk/iCH85sBEdn7nxHjVKfrl7Lp3/7PDGpzuZs7hXrduBA7W0bHfpW5ESUntzglEnTuV+nWKlQfjqqbDsjB2h7IJH36IQ2cC41/YNSrZJyAFTFyMumyDWpdylmDOJGSXVqEUNm+HFGok6cT+4aMQ0myW1l3lr43xWpfvZN9lGhZmnNTxE09IeLlTUsL6sl1JQgCSNAt57RrA9nZbwiFrri8sucegT9cyrEuNiOSZ7d+sRNj89ixXxcUUN8Hydu1bu4UhnAzfWnFQcxbQ5wdV37RfqyCCrzEUjbWVZ+rFDlFt5FYRuaS4Lk5epfGKYvT/9d131/6HXO74QShkFbnpgJ56vUW+NBQS2KPWhDA8//ILicBzNN7IodomLRppV7/qlQivyvuiY58Z6uXbFSc4Va1RgnoFHv13GhooT6gC2NFepSupDGerMMc4U68i4URoYVe8r74WIGUU1p5bw6XQWf9Gz8DTheh3RbCW3bwyPKug+ZgjIVBLYJLRb8E1c38AIFGCVRk7lBYkIBJ2LgbU8JgpRyPvhK8IkZVpyr52k0sxNhS66EQzN41JAGJcFmKW57B5vxfEMrq44Q10ow8lCPUm9wNePrGNF8yXWlp9Th+rW0U52757FgxveFOO4AOH6u603YY0ZvO/m7XREBsi7Yc5M1vD215cyvNLl8XWvEdZt2sOD/M2hG2j6psWpp2t4X+M+kvokA3YZl789AyeusfwTXUqyvWuwjY6vuGz/aCfrrjkNmvjsPSdraH3d4cxV1bSEh5GmfvEejUKVdkUnXxXJcbLOIG45qkDMe2HKFg/TE68kZpQoBSOJYtjilQdsOmp7CWkOtmbg4fPu5QfY19rMzVWnxc8ORg3LPnmAsO7QFBrF0hzKjTwvD88nXOaocZTn66TNcT5/9UsMrUpSHxpTKq60meVzt/+GpD7JkFPGYCAlX5c6zdp1ZxWhOqLb04zspiNP4hK/pup0MHZNUmHlhB+TUaTSnCDvhTE0l6wbpd9OcVXqLBDEdHgmGV8U3WlznIwbIAcBn2XESSjoXmZnSVVZRHOEhb8mXHSV2o0ptE8W6VL4ENFtYfwXZJrJAjptZhlx4wy7CXVpFz2LcMDvkYIH2zcIaw5pc1wRtquChqPPC2GB+pmSL5XUC8GemGoSZOMwYJepC/FcqZoKM8eoE2eolOBksUGMQ/0gEDTfRM4JMyvehzTYG3ET/Lp3IcsqL9EZ7Vfjql2ZdvZebubeWXvV+KPfTvGtQ1eRSBT4WOcOZoT7OZhvZdtwB2d3tLJ4/SmurzyhVH7ffOM69JLGAxvfVIrULaOzOfONOWRuzfHEws3iTPIsvrP1Guq2aSx88qAIBVYj8SkyuHw9e34R1V+J8uwTZXx6zhaMAKG68NwMUudcer+Yoi0yhKW5HBxvov7bYXrWxzFaBdI56sQ5da6e5s0eA8sShJJin7i+TtkJEyeOGttHNJtxO0J4zCPrirgiqcwyIzbFyrBKfc/5YWJGidF5Pn7SDgp9jZheZHaqnxdubWLxjPOKQC/PMGkrIIvkl3OzqQ2Nq2ZRntU3Nx1n85c6eU/1BVpDQwwGo73bb9xNz7oUM2P9yFinWZE+Tj98gs7EAEl9Uqk211ee4vIXBmkMjxLRbOJ6kUt2JZ+Yt5XLHRV0RAaUSMPQPJ685mX1HiSPaW68h5nv7iei2er+AeHuvfKOi1OcPl00xPc07sFqElYiBT9E1hOqw0c7t6rR3nSl6COdO9R9BILzlDYnuLNReNb12ykhINBL6GGPtrphtd9krt/ceK8ag1qaw4idAkT0jzTNlGep5+tUWRP/+5f8f8LrHV8IgeiSZac1daEZCiKO60UsXZDgEkZBufTKGb+cA1caE+x3W9UMNxJwU6Z770z4EeWCm/Ui9NgVQVDquLqUJOoiESEmkOcAAL7iSURBVJOMG6XZEmGO8nAF2SWGggViKjXSqBPH9XUqgy5Pdn5HJxqpDOWotcZJ6gUFeUrVS2N4VJFzd422s+9cCw8s2aXiO04W6vnGjvUAPHr1ZnVJni1Us+U7qxhfXuCplS9TbY6TcWL8095rqX/epPEzZ1hTfl6ZHR7+wQIiwx6Nvz1GeVzYyb86Mo+Wr5vsuXkOV7/nDLXmOKcK9ew+10rHzwq8Pnc297fsUt9NpMckOuAzWEqyKHaJjBsjpDvYSQ3C4tKJ60VKvsmc+gFOXTOD68uFw3XWE0ic+94RCJyX5fe/se4Ez31pIXfVHVW/C+C+9dsZuSrOzOiAkiM3hka59aPbiBkBymQnaQoNc33lCZY/elFdjABjbowPtb9NZMZUh28guBafWbxZ/R257hbEL7MgflkdFtKUcmmiS40reu0KMm6c5akuhQTJIqLXrhDFRqAKkXwjySOSSKYiPgaHjO0brI6d5aXMIlwEGX16EZ/3QoSxlQ/TdPK4dGNPGXn67RS6MeVgKwsdD42mYIyxfbyTpYkusgHZU/4OS3Owg8JKmNjFg+8tQsqYVOtIvl9ZTMiRVH9QbMSMokIwMk6Mi4VKEX8zzUxwV6YdQI3/LN3hUqGSF04uYE37eTrjA0G8jsn3L66iv7+cT6/YLKJyjAlOTDbwkzeuoqpzmPvadiuk6EcXVlDYkmbF+w6zOHkJEHyRX3xvPfkGjwdveJMZ0UEiWonvnd5A+psxzn4mzUMtOzE0wRfZ/L1VhEd9aj83LtSOeOwYmQF/XcMv7qrhD6/9JUOOcBZ/a8cc2p4vcfSP67m5SoSpdhcrqPtViLGZUdxOjdPFOlJmnt7xMho3lzizMM1tafH9DfhlRPoNfF18R5KTUh6axA2BYXhK3edpOvHGLEOLUjRHREHeXawhbWXRQanVpAro6sbzvPSRebyrJci28gTnqu2OcwxPxlQRlPdCrCo/zytPRXlPqletLdfXeXDVDroXVrAkeQk3UDCmzDx3PbxFRRJl3BgFLG6rPszIU+eDsdoU3+/JRa9TWGhRaUxMk4uX+NzGF9V4VuZmrUicZ95tPWpti/9mKqNIoZ6cZMhPMuIkRDhugGhZhlgDLeFh7msZIx54bUlDy47IIJ3RfjX2lAaud1bvY8RJ0F2qIqLbNFijghIQXPoF3yLviKbW0ku0hEeQ4aqy+FLPDI28G8HWDXWfCCQxrCYCGS9GrZXB9XX1jKRgQjY9a6Ln+ObQNYR1h/mxy+SCtAUDnxEnoZqv6RYwiWl3ohzlTZfSF3yTCI5QbpbKSZl54Y9XTIsiOdibEsHNuhG8wFFb1zwKjqUECf9Vr3d8IVTwTeLB/8q5ryyAJAEToDE0SnepkvbwABWWKD6KkiAb/Jst2bmqU5dVc94Lcb5YTX1ojFjA3RAmjDF2j7WyuuK8yIzSDCqNPN+8sI7KaJ7rqk5h+Q4pI0d3qYIvbH4/8+dc4r21+xVR9tnuRYzsreHGm/cxIzqoquVvv7yBWJ/G3Q9uodLMUWnkOJhr5shXFjI2W+fz9/xCmQm+eHkeqT+I8qNPruTzq19RC3bfwQ46flzk8J82sLbyHMNuAkt3SB01MfM++bWhYMxUJGEUCWV8fFs8jx67gphRpKVhmP55DayPD9JbStEZ7afZGmHiqjwZWydhCG+JWivD0rJL/Py3q1hRfh4DT0VEfGTxTg78WRPXproRWVyCTPiBu9/A9gxmRfsUUbMjMkj9R4VHT0SzlS3+bdWHufF9x9UFWgjGCo92blUom1Q7NYVGeKj9LTVqkXyCSjOnHFxlceP5GvUh4ath4JEy84rQKTlb8rKW8mdgyuRumloMIB8cJrKDlS9JWLZ9AxtjqiAJ/p30V1Jjy6A7lkW8NMSUJHmYymuaCCwapivTjhUaSVtTEShKATNNyi8VZZIH4vlC7dFdqGB+4vIVJONs4BItFUe9dgUjTpzt3TNItBZZX3aCS3YVR3ON7O5vYTwX4aG5u0iZwqTzTL6WV15dxrL1J5kZHyRl5onpJf7h4AZiB6Nc84F9zI9fVv5QO76+guE1No+t2UzSKJA0Jvmbt26k7Wcal3+nm3fVHBLKIS/EyWfmU0pozHp0QPFjNnXNovMvi+z4bAeLV1wSqj43ztjOWhqOuowsidNgjVLww3QXymnc7NFbTOO16pSbE+S8MMMjCRrPuYwWY5CcMj0E8GKeIjEX/BAtFaNcXJxiaXJ0KrbCM8mtnGR8UozJ5Ph4RmKIFx6oY2Vrl7rMw7rNqrUnOTevitvKzyue36xYHxNPhqgNZ6caNsPloZlvcfjLTcxP9KiLqsLMcc/7twQEXrF2R504i+KXaH18mJSRF5euE6XeGuPjs7bjztKoNoWYoj40Rm+pXCDhgYBESs+XJy4wd0WvUiq56NieybtqDgEQ0kRmoRirTHJ77WHVKI44CeWNNWWSaSl+TlNoRJ21kp8i+VVSsCB5LhJFzGvCQV8KGCK6ragIAIbukfWFWljXfC7LSKUg20/sVUFbSBoFZSop96DkEknv65wXxsDDQ1hJiBGQiC6SSGa1kaXfLhcFVtAUjAc/UwowRJFmTnPe15TTtSyG3MD1TyorIWhggnMIIDYtbmXQSdJgjWG7gr8k9/yEFyKsOeyebCNhFOmIDCg1nIhOESTtOivDwXwLRc8kHcmCJ868gmcx5AqfoZhRZFn0Apuz88QZpXl4mh6cHwIZd32NbcMdrKsS6LHkHXYVqxgoJpkT7xPPAg1D89iXbf7fvOH/c17v+EJIsNNT9BZTLE5eUqMd2zfYPDiL+liGZWVdZJwYTaER9uXaeO7IIpa0X+Km9DGknHPbSAcnXu5kyW3HWVwmErvDus03Dq6nfFOEGR85xcaq4xh49Nrl/NuP11N2wWP0qQF18BzONWF8Nc3FmSZNj+1kb66d+tAYe4Zb6PxukWMfbOH69El1IfX1VNC016NvfZLmyIgw3NKLaJ4IrvcCX5SMG6MmlGV4kYbXKuzpvcDE6tEZb/JHD7yX+e1datRl4LFm6Sm6O8u5veq0ujwjmsMNH35LzXUl4brWGufWJ99UhpOSrHt7w2G89x1VhcmoEwcTfnvpK8gg20EnyViQKPxQ+1uKvCxHIRVmjo/Ub2N/vg0Xnbhe5GIxraIDZHaYRM+kF5LkaIkCQihCJHQujelsPwg/nCZnllwpodSaxPV1TkzW0xgeVUVLLOhGeu1yGkOjqtiZbhopixd5ucrDW5LgZS4UiMN5RniA7YVO5scuq2JLvn+YGktJrpWU8cqw3uO5eoX2pfQiRYRp4tGxOq6rOR1wTgyKvs63z6wmHi5xX8sehU5uy3Sy7c0FrL3mKFelzopGwI3yj7s2EO4O8cE7t5Ay84R1m62jnZz59mxyN03w4TnCSbfgm3x307XU7Ab9s+I9z471U8BSM//pneHPjy1l5lccXv7CXGbMGSTvhWiNDLPzxWWkBz1GfyemRrRnsmmaXy+xu7mVa5afJuPEKOLjj4WI93iYAYoqwo8dihUaVnyKZDviJGhuGqZvVT03JgT6YOkOSc1j5JZJQmFbdbMuGhtbT/LC0/O5YcYJVQgn9QIb3r2PsZujzI32qNHzxopjvPEFj9UhsQYrjQlGnAQPL9nBwLwkC+KXgyJQSJHveXBTgABnOJpvpCU8LC7+B/cpIjAIgv9ji99QxeuIE8fApy0yzKeXbL7C7M72Da6tOMVNVbZCFQme8/UVJ8gFVgiSSG9pLkuSwiJiwhXKzyOTTbSGhyh41hXFh+QpyUahPTzIqUIdFWaO6iCDTzQKE0qVKKMpEkZBqZvkOo3pRQw8JqYpLz1NU0KB6cWSLLrxpjyXpKoLphSdkmws95xUVUp05gpvHC2k7AUgcNf2BMfK06bI0Oq/+do0yxJtyvjTmDLcLPghRRKXiKXraQrNn97ciEJAKKKwUE1SyTeFmtMoqSwx8R4Mzk9WE9Id2iJD6pzKeyG2Ds9kblkfDXFRhKaMSY7kGtk31MwtDcdIm1mVfPBC7wIA3tNwUH2nA3YZPzq2ggWNPdxSfRTbE5/74HgTu3bPZu2qEyRThSCFIMLPLi2j70QNt6/bS2d0ABeNY5ONfHvHOtDgkaveEMIU32DUifHqv61icnaRT67YQs4LM+laHMvVcfq5TkorJ7hvzh7S1gS9djnf2nUN1dtM3nrY46H6HQy7CU5P1vKrl9ZQfgpCjznMjfcqAcuxH06JOv4rXu941VjeDfHcT9Zx9OsLuFBIkw+q3nOT1dh/U8ee5xeoiz3rRTg+VsfMr7scfmum+hm2b3BioJaG7QWODtZd2f05GroLzdHRwP01TMqYJN9ZYmiJplyrDXyaIyMMPDSJc02GrBtVxML3N+xl/Pdy3LLmoIItAR5d9QbzvnCIdZVnlIw/ott85NZN3PWRLSrAVA8UNR++fROfXizcTFtCQ5wq1KHj8ekNr3JrzRFs36C3VE7Bt7g9fYj3N+1TnkUivDPHjOggzZERdUHnvRCFIJ9MjmeEHYAIopW8JDsoPLqKVRQ9QUruKVWon19u5Ck38lSb4wqCtzSHUSfOyUIDaVNwrsbcmBqzSN7SdPMtOUaSBytImbs4PKUibLqDtuwuLU1k3IwGEtRS4CArJc/9tsyCMtV3fCTXyPFcg/ozSYJ9tncxQ3ZSmem1hYZ4dWguX9x5J3k3TGt4SL3Pf9i2kaf33UXKnAw8RBxe7J/PD795I7tG2xXhvehZfO8XN/Dzf76evBei2hRhnNtGOjjzpXn89K1VVyiSXty2FONPq3ipZy6toUEKQcGU/EEZxedqrpD/Hxmqp/3ZPHsut6hnZWkuoV6L5AWfojflXB41bDwTTNNVvlIpY5Joa5axTvHfF8R7RKK2K0dxvnrmMb3ILbOOcfZzBne0H1adasIoMPu+E1R/6jwt4RH1OW6pPUrLn5zi40u2qY5S1zw+t+Elbn3qTebFepTpWltkiPsffJUnF79GxompkeLDrdt5+AMvMzvWRyYw2gzrNp9d8jofnv2WklFnnBjL4hd4ZOE22qNDCkUEmB+/zHWVJ9VZoGs+Ic2lIzbIkngXRc/iTLEusKoQhqx5LyRG1cFRGg4QF9fXsHRXjSqlGaDkokg0Wa7ftJVV31dMLzESqLDkWnanoQ3yfJD8DAMv8PwJBQWDpvZJrSUQzf5SmeKPSDRvulpLIh3lRo6w5gi7AzeinmMpQNSljFsPEI+YXlJmrsqgM/DaCus2eTesUJtI4MWjawIJkNQDecb222WKEyWfy4BdxunJWmUYKZGTTSNzuFwUQgmpKHs7287zPQsZKJVNI5gbvDo4j2+cX3eFQ/OEG+HvD27gF91LVfGYDTyiVIRQsJ7zXohn9q7nX7auV+pOgWZU8uMfXM9X92xQvkGW5vDjS8t5/m/X82zvEvWMJ9wIv3x9Db/52rWcmxQquFEnzqVCJbufWcorz65SI20XjRd75zP5Rw386tRCgThpIl7oNzuXEfnzct4Y7Az2WolRO072xw2M/KaRUSeuzsqTE7U0f9Pk0O4OdYYa+OzpamHGL4scHqhXzZilufQfrqXpdY9JN4R0NK80Jyg7aVJ+WDZoQgSTsaPEe3z0IVF0nivV0Bntp+SZxPs8NM0nbWWFqaOZJVJeoJTSSJhF+pwUnq9RExrHrnaYaNaoDk0E3634jjKz/1/V2H/qK2aUmKzzsOMaNdPiCWpCWS6+16eiZpisF6EhNErWjXJV+hy/+kKc62qFcaCUe943aw8H/riJq8sEBCzzdj6xbCv5JSHaw4P0BwQwS3P5wtoX1EEnOx18k88teF1JPYUng/gKHpuxhawXZdSJX8HOX5roUmiD7RuUfFNFV0hUBVCOp0AAqRtKPTW9mJCQ/fliNfXWGIbmKdJrrZVRROOkXiDvi+5odqSHnROdyrtCquAkP0Ue4GHdVkq7OdFe+u2Ucho+X6xW0HNMLyqZvOwK0+Y454s1RIKf0VWsYsSO0x4dJKY5hDXhTrt1eCbVkQlWlF1Ql8LpyRqeP76Am+ccZ378csAHMPibvRvxcha/t/454nqRYTdBV7GS1362itKSCR5f+IbqMP/66EYqfpqg+lPnuS59UoS/GgV+/a/XYOV8yj4lHH1ddHYMz8D4YgXfuf8antrwG0AoeY7tbqPj10V2tM3g+vRJNa6o3mkwWZ0gPN9W5oID2QTxfo+8E1K8k7BuUyr38DWBWI65MVJGno7EEM9umElDu8wiEp97/rILHKls4I6ai/TYFSSNAsuTF7j8WIp6s6QOYc/X+PCMnTz/Jwu5v+qsuvxjeon73v0GeS8UGBmK4nJZsou2R4epDAw8QVxUD8/aiTtLGOC5aIw4CfRgXUqCvVQHVYeyPLF4sxrPibG0x9XlZ68oAkRxWWR12Tl0zVdhj0m9wIgbpyk0osif0634paxf17xgz+RVLM2EHxGKsoA3JW0jpisKLU2YpUqUUfKvZDEgidqyIRh0kurCkBdNRLty9AnCg2jQSXJ0somm0KiyXJCXp6W56v3WWRk2ZebSGR1Ql7bkx0QCwYPMwpImp3KsUvBNhW6eL1bTERmgwsopQ8vLxQpS5iQxvcjJQj21oXGOTzZwuVDOnHgfnj/lsv3a4BwaYxlmxfuCsWmW05O1/PDMCu5oP0xbZEi9/+9cXEMmF+Xjc7cp4nvGjfKtTRtomd/LPY171Jj42+fWkt+R5sa736YjMoi0JfjrX7wHNwT33riNtJWl0pjguctryf5rI5EH+3h/017BcfNNfvKrayk/5XPNk7voiAxQ8C2OTjTS/Ted7F+i0/zeESJaCUPzePPiTJr+zuC5JxfyxNzN6jI/80IHFadc+n4vxcJ4NyXf5GC2mcbvW/Strkdv8dHxAgWppwoGObLKuDGiJyOYOchcLSYHADk3TKzfJ9cmkTiHfieF7QouVtScGkO6aLgVNvmGEGXmpKAiaC41oSwjC338qiKVxpSf8uzyfl6/tZ4VzefVPpkXuUzrnD7O3V3Hp2uPsj52mr/pv5GmyCj6XUOkTGGAmDAKhDSHuYk+Tj5Rw/rablXw6JrHB+buY+cX27mn5uRUrqIb4V3X76bvqjLmJy4rEvvS2EUWfuAYlaFcMKITSPeKsgvUfzaDpbvqTnDRuaryHH2fHaIzOkCVMSFEGb7OY/Pe5MKMKhKmyH8Ttgs5Hln9Jt5qjabQiIie8UxiRpHPbHiJz//Hrv5/1+sdXwiZmsujG18Fpsy7XDRqrHGeXPsquiaM6QYRo6G0leXRzq2BfDMsDjJNLLBb00cYceOMOnGlQmoKjXCmUMuYG1MoUcE30X1PycClUsfSXGrMcS6U0qozlPCr6yboDPfRVawibWZpDQkzwqwboSU8jIdP0piku1QZQKtik2fdiJA+y8XoG1hBPIBIfBdIR31ojFpD5FY1hUZJGAUVTinluLZvcqogDNREhyM6o4P5Vs7l0tgxg/bwIGgi8uDcZDWbumdxdcN5WqNDVBo58l6Yb565mvHxKB9ZvFO44noWA6Uk331lA/rMCT4+bzsJo8CAXcbWwZl0v9ZC08Yu3lu/n0wA/f/s+XWkD/qEnt4jDlGEvDL7181cmG+y8P7LJIwCZfokXzl+PZ1/U2LL787k2oUnGXTK6C2liO+Pkq/3+fMDN/Ph+W9haB4lzyRxyaN/hshvk+O+sOWQq9VpNu1gxJVjyEmSXV7At4WbuK756LisrrzAdz5Zx6qO02os1+ekeO/1u9i5oJ11FRcVryeml1j16X3EzaIad+TdMB/r3EH+d0PqYhXFxCSf2viK4oVItK8jMsBv3/ErMoGiShIe31VziHfVHFJ+S0K+rXN33T41Spge7SK5GSNuXIzgfJ1aKyOKBzdCEYtKcwL0qSwuOSqY7tki5dZFz2JV7CwHCy2cnhTZZgN2WWBHIYj80vU348YYcpLUWONk7Kj6WTCF4smsNEt3VLhn3guTcaLKeRamCO6SuGngc74o1H5511I/V3bvEj2UewZQkmspV5ZFqyzo5e8aDPL/ZINC8OejTpxzk2kawhksHFUo/GpwCSXX5MbqYwpR6C2leP7ifFbUXWJOolchJ9/uuZqDp5v56KptajSU90J887XriDVN8NCst1Rz8+zlJYy83MC8u05wTcVpYpr4Hv71hesJZTTee89WhSq9PdZO19/OoucOm99d+YJCjn7y0jqqDvuEPuOwIN5DWLM5nqsn/1eNbFvRxqz39ynU5pcnFjPjqz6v/rc5fHTGdkHEdyMUnq8lmfHJdIr8wphe5OxEmtYXHM6Ha9GbfFVcDvWV0XDapRT4mmWcpCCtj2uQFEKCSlOkuBuaR75WpyGSm+IZ+Qba3AlGzISQi+s2rqfTFBnltY0+6eZhIpqj7BnWtZzjtY/M5T2tR6gyJuhzRGPadut5Bq5N0BYZDuJINJYlu7jwuUo2lotMSbm+hwJ1rBx7u5rwI3rX+3fgeLoKHPZ8jbmxXuJPFElbE8Jh3UmRMia5r2039pNGIFgxVIbdZ9a+plRpni/O/fbwIJ+68RVcBJVgxElQ8E2WJy+y9PYu5WMW00tcsqu4ruY0yfrDpM1x3sh3UhkS3MaH2zNXcKtSRp5KM8dDM9+6ApVCh6bQCO9vGFGxF66v0xoeQtc8Fsa6yXth8l6IGmucS6Uq2mLDqukVCGCcSjMXRM6YCq0FQddoiwwHvmvCv0361CXMInk3FBRewnDS0p1AOp8ISOICtS/9D75W/7df7/hCaNyJUhvIugfsMtXBhjSHUU+w+YX1uKNm6rITlIeilPqWG3k1PrA9E8twFWw5/ZCWnZ9UlsGUw/C5Yg0ZV6ia5Mxbpqd7vtho011NJ11LXSYXi2kqzRwn83VMuhbtsSE1rhmyk/yyazHxUInbGw4rYm3GjfKTV9bRuKSXOxoOKd+Tn15YirMpzey7T3Jz1dGgUHP46YvrSFyEWz6xXant+kplnP/qbPbP0nn4/S+LzkWHX51YzIyvehz4UiOzm/votcuJ6SWc7ZXUXfBwF+ksDF/mQKGJkVKc9EGfYTdBdrbYqBVmjrhVxDdB0wTsLrJ1PJiZY9CIK0WF7Zs0hUbp/oBNTXo46N4Fv+Ld8w6z9Y9mcGvDGUpBUZG2Jrjjwa1sTB7lc0c+gKULyHtJoovqp7IBciWeT7WZ5YGOt7FnTNnE570wTaERnlrxMv12SmWFgXC+/a0VryqSphybdUQGSDdOBEZuhvIMWpS4RFwv0m+nlHRdoiggEbwppMH2DSxfHM7Slr7gGSoMV45Ph+ykMpWUKE/Rs/D0KRfsmCbWRtIoUG5m6bHLMfBJWVnB6QIulyqot4TppVI2BoUOCLGAHMcM2UlFuLU9k9OlOgx8ReaX67HoWQw5CeZHu9mba6cpNIoM5B2yE0LBGGQXyUKj4FlgInhshseIGxeHujmpCrNRJ87BsSbKQpO0x4aVcV7RM/nb/Ru5ofMEC+I9qsH4/pmVTIxF+dDStwXx1cpyLN/Ay79ehbEow0Oz3kLmmn378FrKtkVY+tBhVqfOYeBxYrKe1/95Dfl6jU+973n1Pf7w7AqqvhrjrU/n+VjnDrJuhAnf5Oz3ZqG5MPB4N42hUfJeiDf7Z1L/ZYNNn5zD9euOK+PRYztn0P5aiUuLKkSGlO5zPFdP4xYYXFKGNdsNTDnDDIwnqDrn0jORwqqcKkwDyoZCKfJemKRVYLTToKpyVI3lYkaRxNxR+iuSNEembDzmxnvZfN8sqitHlMUGwHvnHOT5J+dzX8shdZGlzDwd95yiLpKlPjRGV7GKmZF+NlYdZ9Pv+6yJDxLXi8G613h09Rv0Lk1xfZngWr4xOZt5sR4eemAqQHXQKcPA5911h7AfPkpEs9E1n4InEIzfW/QC7kKN7lIVbjDuqrUyPL3+eeVhJr2nlicvsHztBQAVbJswCryr5pBCUmVjmjAK3N+0Cxed0jSHZ8l3AzHilai1RMNBFMHC1XuSjsgAGTcm7CWCZtTzdUUy359vJaaXSFtZpXKVDRGgUD3XNxV/THyPITWykw2RDDXVNY+sJ8jnNySP8pOh1SxJXlJnBxCMYjXlBC0+T0llUQJq7CmRTXFmiQaxKTTC+WJ14NElIlVUPIkxJfaQxb7r66CjeGAyB7LaHFejSIBJN0QsNEEYRzXhNqYy1rR9g5hRoOD/17J23vGFUER31BigwswJvxWtqHJcbM9UM3PZJUr2elhdWGJUtT3TyczYACkjry6vAxMtdOfLuTF9/IpgyN8MLOLCaAUPzHxbQe4ZN8q39l6Nbnl8askbCjU4kmvijZ8tZ2JOiafXvMiM0CAXS2m+dXQt1T+PcuaxS9xZd0AtwE3PLadmj43+B8dYU3aWgm8xbMcJfbeSiaRG7Lf2Cl6S5rJ5YBbtv5rkTLSWQp2lCoJ8IUzNGYfRYkzxG1x07EqHwoSFpbuqK6oLjdN3jUeifnwaMdjjllnHeOWJOXywXkCsrhOn0pxg/fv3MularIif44JdSVcpTW14nMKnzzA/NKlGQbXWGMvKL7Hi/V2Bp1IoOIh0fmvRa+QXhNRYz9JcmkPDPLn8teAgEpfouVI182I9zOnoDYiD8StGGm9MzOHpOS8rPxnbN6ixxlWKOKBcp2dHehh2ErwxNof5CUmYNVWnNl3doSIQgnGFVHzJsY38/bK4jmilKYfaAGmToyDZfU2lx5sq3uRQvpm0NaG4GfIQl3l5cCXXQ6pUpK+U9PCxNJej+UZihjgMy/RJMOHARAuuL/yEZAGTD/aEpbnYnkHMnIoikKaLtm8o1/RnDl2Lpns8vvANdVnsybSy7/U5XH3TYYqeSXt4kIwb5evbN1B23GTjg2+Rik1ieyYHcnUc+uoihpb7PH3zc2qMK8mpCaNAb6mcWitDxoky+NU2zrYazHnwdbUXXzo7l5l/VeKNL8xk7nzhWdJrl6O/WU7DZQ97yZQMvztfTvV+h0t1cSKzHarNcbHWR0OYeZFPaPsiE64lPMJkrUapSsj+c8G+n1vdz/4Ns1lafR4XTRl2Tt6YxTJd0uaEEAxoNtfVneaXX1jErS1H6C5VqiiGWzbu4czqakE69y0MX5ir6r/jUWYWpuJbgI/P3Ubv75fTFBpVhqS1VoZP3/WCMoiUooQF8R4WPdAdNFo+GUfYQXyscztGp6d+przQ/3DFcxQ8SxGgL5cqWBi7xMIFl5BJ7PJ1a/oISWOSi6U09aExpf6UfkXyMs97YeWxdMkWfKDZMWEQKp2zs15U+ZpJ01QXnXwQd+OiMebGmB++zNvZDhUkKrk8ctQm1WDSdFIIJ8JUmhPqgq+1MgFfSSMdWHdIsr5sLCThX8UtBc9DihhQ+1aMmCShPqzbgYReIF5eID0HaAqNkjKEklIqL5tCw4oIL5uN6RE+hu+rM1Lub7nvi55FYZoS9IJdzfxEDzL9Xd5BRU+cURkvhi3jRAKBhEQeLc2l3hpTKLXtG/Q5KRJmkREtoaYRctIgEDIxGs+4UQZKScbsKPMTvepcyHsh9mdbMHWXJclueuwKQaj3DLYNdNCQyDAjOgiIouncZDVbL89gY/NJGoO4DwOP7SOzgE3/vsv+P/B6xxdCAK/1zyVTjPBw+w61UPrtFN87sppYvMCHZ+5Sf/fiZJpNzy3HnpvnU4u3qC/39f7ZlP65ju335PjTxc+yc2ImKWOSFw8uoOP7Hj/+nRgPtb6l0J3zv55Bzf4iZ/57DauSwnU660aofd2ilNDILwopzsGYHSXZ5ZGvNyk38pwrVWNpLpVlecZbE9SbJeXj4Pk64RUjdNWk2BgdVu+7Lpyh8MAI8ZCo8IuIy+Suhv288eezeLjsMrVWBkPzKDfyPL3wZd7+/Rk0hMcoN3JcLlXQHh7ksas34V01ldWUDMZwn1n/ihot5oPOf2asnwWLuyn4ljhUDTH+mRkTMvojk83K/bfKylGRygsieTCu8HydjBOlJTyi0IKUkUcmYEsexqgnRkHnijWKhyQ7V4nqJPWCMkFMm1kKnpSql+hzUso6Ie+F8DSdciuvOhIpzz1drCOml1idOseQnVSdYYWZI6Q5SkET1qecYW3fuMLoL+PEFH/M9sR4csKNcLZYS9qcEOnqwX97O9PGjNgQbZEh1THtHm/nXLaKjzRv55JdSU1onCE7yTPHrmVG7RA31x4j74VoDw/w7OAy9m6ew3U3HWBpokvxyP759RswJjUevH0zMV2oVLaNzeTMV+YxcEeR31/+a84UawF4cc8iWp6Hyd89wcqyiyodXozbLIXGSLsJabjnBlL5y8UKKl6J4pmQnSf4LBNuhN58GQ3bbLa0d/LfVrxIPED79IKOOemrjrLSnCATipJt0fDLRREl0Q5JxJ9wI8hIl5Q5yeBdBRqqMiJ5HYEI3TTjBLv/tIW76k4HTUeMlDHJNfftZdwJqwKi4FmsqzzDuS9muCmUxdIcLtmVGPg8seFlJq6NqAsHXaz/h9//coAYC6QC4JqK01x951mlTqwyJzhZqOeh2buotTKUgggK8RlzPDb3TXVpy7FIY3hMqc7kuLHazDI33quQDtszFa+v1hqn1hojpLnsHWljUaKbSnOCsG4rfqIcYdVaGWwMyvRJer1ycUjoYCMRa0c1eoLrIwrfciPHabc2KLpN5eotuTJtoUF25WYy4YZJhgvKKb7gWypIGKApNIwRjFxHHcH1GnNjeAi+pNy/kvMkCxggOBcdNUo7UaxnbrxHkYmlf5d8/xHlizMlmBBKvEAFSlEpNYVaMq4ifmQTZGkOemBW2ltKkTInaQqNCIRa8xh1YvSVymiLiHGcRIPP5GvRNS/wjAr+HIM3hztpiY8EhHqBFh3P17NvsIk7mg6rEFXbN/lN30KG8jE+0LaflJFXAa7fOHw1tZXjvL95H6kgq9BFU427DEwueBbfPrOB/JkUH7hhh+J0jdgpvvfKetyEyyNXvyEk65rD7mwrB3+6gInlkzy+dLNqXn5wfhX6T6vw7xnivrbdNIUEcigbn+lqQdfX2fzTlVjjPpWP5JkXE47bZ/PVnHtmNhNNOu0fHKbCFPFQz/UuJPSVKvY8UM6aJecoN/KMOAme37OYjp847Hi6nftb3wZPOKGf2dL+f3DT/5+/3vGqMReN3udbiP1Nim1jM9Woqr9URv2/hdA3VahQybBuM1KKkT7s4PdEgo40rzqEYplONFxiwCkjbWVJGgVmtA3QdVOYpVWXFQm6PpSh491n6Xm0RHNkVAWhdkQGmPnYCZZ++LDKj7F9g9Wp89z4ha28+9o9ClKM6SUead/G/Q+9ylUV59TFkTQmua9jN5+7/iXSZlaNFSKaw+OdW3ioZac6FGutDBNuhOsrTzAr0kujNUqlMaF8Z9qjgxwab2RLZq4ycZSfGcRMuadUodK55bhHojR5N6wOHel9IS+VYTcx5W8TzH4TRoFKc0IhczkvHJiGeWrMNeQk1WFn4FMVZIxJsy2p+AKmKUnEwdpbKleIVURzyLoRMm50asQTdHIHsk0cyLWIA14XmWBDdpIfnF9Fb6kcQB02z/cs5O+ObQjUOT4pI8+AXcZXX7yFr51cr4qtSnOCn3Uv4+dfvZ4dmQ5hdWDmGbKTfOfHN/Lsv65nJDAFjOklNg/Oov+PO/jlmcVXjMR2vLAI7c/TbM3MVgqW3kKK5m+bXNrcouTWBc/iQG8jLS8X2D/YpEZ6rq8THtSJ9QhEc3akh9OTtViax2SVTiRawgv4XwmjQHnDOH1rDWrDYi3JThNQXailuSq9GgQqZASIV01onFkfP87SRw6RDJCqtDnOXQ0H6PzyUR5fthnbN7hkV+Kh8cVbfsGHP/MCdaFx9XuaQqN88r7n+eSKLULx5E8V4vKyagkP012qIm1O8Pklr/J42yZGnTgZJ0avXc6M6CAfa9tOW0RwHcQF57AocYl15WcUT68yQClmRAcVeieJsQa+MhdtsEa5XKxQQZny0p0euCkQQodKI0dSn+RErk69b1FISuuGoto/MaMYRFuYAZoVUiPOSiNI6g4I55I4qmtCFaZrIv5jzI3RGjRB2aDQqLUy6u9YuhOMHE0GnbKAy1NS43Lp/yNH8wIJEYhIXC8SM0pXmGxKGbtEd2zfCHLVdJL6JDLPq7tURUNolBnhAXrtCg7kWhiyE8rPRj6bs4UadmXakTElkij+w0urOJRrVoiRjs+ZyRr+8dS19JbKVaGfdSN87+wqvn76GlUgx/QiZwvVfOXVW3m2b4nw+QnGLd/rWs3Xfn4bRycaiGi2+i6feeFmvv389QqdtX2DfdkWXvnHq/nG4auDfSmKlX97eyU7v7aCwxONAIHreoKd31jGGz9YqVLkXXS2DM0m86fN/HrvkoCnJ777F/ctJPEXZWwenKUyBzNulL5ftxD+QSWFgJcKcCZfQ+OPQozsmFpT/6Ozutw/Rd9k8kS5ygGUZqpFzyR5XiPaY6q966JRcC3Coz5eyVDNoe0bmIaLG4JU5H/Ouqswc8JzqVhO0bOoNHPkWl3GO33S1oQq7iutHENLwV46QUtoWPGbZpUPcuFOjY66QcUbLXgWc+d0c/aDBqtrLqpCtcYap2ndpf+9C/4/6fWOR4QimkPkhkEuLE5yVVRUuGHdpj06yIUnLtEazquOS9c8VpWfp/6LGaLGlMGc7ZvcUncM+zMnSRmTClK2fYN31x8icude1UGJmazGnbX70Ws9hpwy5eLq+Rpry4WhlJTUy+4sbU4oQzFZ3KTNLLVWRniHBCZ3MEVklR1M3g2xKNrF8YLYpJI8fXyygZQpZOvy/Rl4lHyD7lIlo3aMmrDg4Ey4EeUzJDkBVvCsZNdU8C01QhExD1nF49Dx1ehuyIkFMvMwNaFxIpqjiN5FzxLqtMD9d8SJs3eshasrzwambsIz5O2xdg72NfCZeZvVCCiml/i7nRsxYw6/teRVGqxRzhVrOJuv5q1fLaLs2n7uadmrOtivvHIrZad1bn1kG/XRUYacMs7kazj313PZvcDgkfe9pDb8r88uoOXP4KdfWMpjc99Uyqih1xtIH3Po/QNhGFnwLXoK5TS+IfyijFli1NBTqsD2dBK9Lr35FKEKR2VjlSo8nMSU2aGlucxN9fH8zY0srBlQxaelOTRc283F2VXcHBtQBeKS5CXOfj7N6rJhKgMSd7+f4p7OfZz9izS3JruVmiNl5rnnA1sUefdSqYo1ibPsz7dy96ObaAkNqYDMlF7kE51byXeEp7yRApWTjDrxfJ0RJ86EG6bCzKsOPiPzw/QC76o6iAzTzdpT/jFz471Um1nG3BgTboSW0DA5L0xvKaWKaiM4ZGN6iRhFUcTqtrrc+p2UGj1aQYCr52ucLNQrontraIjjhQZVrJUHTuJZL0KlkWPEFY0CwSUqP4Pn6xAUx56vkwz2yZgbo9rMKs+XomcpgYQsmORFZGki6mLEjat0+WwwfpDnx5CTFIU8mgrulJ/f9UWgrIz16CmWY4cM8q5Q8k0nur6daaM1NsKq+DnFCRsoVXF2opq1leeu8K36de8i6uLjXFNxRvlubR6ezYGuZu6dv0dwXALk8u8PbsApGnxo6ds0WyO0hIZ5fnAhx1/vpHzN1J7y8PnjPbcTOxjltvt2qNFSbynFy/96FROtHg/fuJmmkCAlb7rcSfTbFTgfHebWxmNBQWXy/M/XkjrnUf/UuCpudo22YfxtmhfvqGbJhi6B8hoFXtyziI6fOuz7/WZurTk6hQT/ugJ8KH7GotkaoeQbnMlW0/Kiw/FoI3fUHgREId1zIU3Tfo/MBrmmxaUdHtHwNYLRmFCP9k8mcUPiv8vRV9GzSNZlGe8oJ2oEbtYBKjqyxEWLSeWUECx0Jgf4+bvbmD+7S62zmF5k+bzz7PtwKw9Xn1Yc1ZheIv2ublxPEJaPTzYAgrt18tM1rCwbnjKMRIzxIwEPRyp3U8YkN9+wj9x1IWZEh1QxVRMaZ/1H36YmUOZ1ldJYmsvyVBetT4zQGB5VxZSBz/ub9zPyaYGWFYNCpeibxDThIj7ixKkLjau199C6rdOiplKkzDwzooM8sPFNIsG48JRTh255zEv0sHDdZbJuhJwXJuPEiOg2N9UcC75XgawmdTGavbXuCFv+nXf9f+T1ji+EXDTuaD5MRbvIyeq3U4KhrzncWXdAwbpSmmv7BjWhrOJhSFKb6+vUBAtESlzF7DhExLQDKFaw6cOax5lCbQB/Xql0kd2nKCxMdDRcf8rdV8DDAvEYcePUmplg3JJTFbo8yGU8Q9qaoMeumPL+CVxRJZH2ZKFe/Xv5ewuexcV8JXOSQpLdEhpiyClj+1gHfbkybq0/qtxmh+wk3z+1krJYgbtb9qvnui3TyVsvLWTxjULJIseIP9izmuTxEDfe95bqRPvtFL/4xw0U0hofu/clQKBbO8dmUPhCLf/8WD1PLntNjQTe3jGHGc9O8sqfzePW9BE1WqzaZeFEQtiLTUq+QcaNknXCpM55jCyNqeeCDl65TSkVpugJQnNYt6kLj/Pa1Rrh5vFpBoAON7Wf4LlPL+bu9n1TCI1nsezOI3TdUElHZFAdSGvKzjL5BYuro8ICH1+4xX6y/Q0O/2GzMmeMBWqRT98qCi6pZLlcrGBB/DLzbu5R4wd5iD7UtINMfVwpnmT393DLNrJeVKlpKoK1ta78jArqlS9D81RkQ8aNkfWmCI9ZL6q65enOxdP5cUZAiJSchpSZVyRNuUcKnsXlYgU1oXHh+xN0oTGjyIibUNB3j11ORHOCJPF4oMycUBJfWYgWPAsPsUekSWbem4o+EGjcpPqsEwEvpNKcIBf4HM0I9/NvQytZmLisnsXZQg0uOvWhMcK6rQ7xi5NpokZJeJl4ggd2vljN7uFWrq85iesL24zeUjm7RtqYKIW5oe4kTaERsl6EC4U0vzm5gFWtF+lMDJDSBbrz/TOrGO9L8sHVb9ESHg7y/RL84BfX482d4BPztykE9e+ObSDyShmN952HCjEKbI0M8/3v3Ag63HP/JtFsOAleH5iN/2fV7H6olfTSbKBszPMvL22kfpvDiS/llaXEpUIF+t+nObawniX3dSve2d4T7bT/xGPXF9rYWHOCiG7TXaik/NUoTlQjtrzEJVuEGufsMOlDLj0zy/CadQi+Jy9rEcr4ZJ2pNQVgx8GNi32Q9aIYmkdrapQTc9KsqBhQNggxvQRLx+lrEeG9uuaR0G3mJPv58X3NLGztIaKVmCBC0pjk1hWH2Fo3g/vTp6cCm3WD9H1d3FBzAktzeWuig85oP+vTp9j9xRJr44OqEAZhBNi9vILliQu46Moh+857t6qmLusLzs7G6hO4nzyJzH7LODFmRvp4YObbZNpizIz0K1PLtJXl89e9yPSA25hm0xge5YkNLyuBhTxPrqo4x8ZVx9E1nzE3pqYQt9QdZUZokOOFBtUEZL0IdzYeDIwap9SPkruno1H0phShDeExkoF3k/T2ApgXEzEi54s1aq+LUaCr9pps1MWZXAi4s1MqUXk2yMLXDvhCTaERuoJRqETGL5cqqLHGGXXi9NgVpC3hhSb5efJ8tn2DmCbOmGKw/1NBo7V/ooywl/1f3u3/ma93fCE04YZJTYO1jaD7MwJJsFzwMvMEUJb3bmAGGNOLFDVL5atEApQkZhQJY6uspfrQWADXR0mZkyJuoFTO3OhluktVDJTKSBhFlasiIfdRJ87FQhX5kCDNSlO2k/k6nu1ezN1NB9TCjhlFnu9fwOnLNdy/6G1FJs24UZ55YyMAn17/KpbmIIMdt39tJUNX2Xxm7WskjUnydoqfnVxK47dCvPDpKh7s2EXWE1b8B1+eQ92uEgd/v4m15eewcOgrlVH5ozi5ujK8R8U0tTPcz88uLqN2l82xJbVcV3FSPBffhJJOKDNlbFgMuuNsGzjljtqQ3aVK2mLD7Hygk6Utwi9DqjRuum4/O2e1cV3qkrr8U2ae5Y8cwJCp2W6cptAo7eFBzj49ouIw5Ovzq1/BWC2ybeQhnDYnePqW56gyJjgy2aTUK1clT1OzLKs8WyRKszp1niXJ7sC4z1PvcW35WaSUPREoTUbcBG2RIXEw+lP+OxJxkFwqabLpBu7feSeEjUFMcxhyylShLB2Pu0uVComYCA4V+WylomTKrM5TSInsnuVL/D5BnD5bqFHFkuSiyMgLyWGS719GI8jiX6popGndoJNU8R1yL404CS4UqqgJZa9QhRR8kxMT9bw/vZtyPc8FO82uiRls6ppFMlrghvpT1FrjZN0Ih7KN7Doxg5sWHmV2rJ8hWyiBvntoNZ5t8J7FB0TOmCtCSf/52dspLs2xcOFlVVz9aNcaqvYYzPvoUZaVdWFpLgOlMnb//TLGZ/x/2HvvOLmq++7/fe+dO3VnZ8ts79pV770gJCQwCBCYYooxYGyM7VCMWxKXxPaT+ImTPGmOHZeAjXHFBYzB9CIEQkIS6r2vdrW9zs7s7Mzcuff+/jj3nN2N7V+e5EkcW9Z5vXgBq9HsLad8y6do3Hi9yGqrzSG+uusSpv6LxQ8+s4RPznjJC/x89P6wgeCQw9Cn26nyD5N1TI4MV9L8TzZvvXcaKy85rd5HbncxVccc+hZGFetyNB+g9IBNdzSMPVsjoDlif7F1zFEXnxcYOa4ufKHiLq4hDhcbgdmaEh1gy+paZtefZoq/jzeS05ga6qFiSTdnq0q5uqBTAW7rgkO8dU+KmmhS+TkZuNywaBe7G+tYW3aCpkAvg/kCso6PpffuIerLUO0foi8fJeuYXFZxhJOfHuDmSOekVuCHV28ivcqvgNBZxyRuprjn9mcnYYkCusWa0hNc+p6jgAAey9b0fbM2q3ki1JkDNAb7uX/RawJn51Use6wYy6KnWTbzNIP5AiUbEdZzXF5+RGG5moOCsRjU8lwVP0CPFVOEhqQjKoCzIx1KOkXO86ZAn2JJSaHUpkAvnRLY7DE8JcYnrY2zuqSqtWQRVpgJBvMFJJ0gUwM97EvXK5uaf8vmspxx/So5b2TrUAYkEkspiRdyT5DrWHjtjWNHJdtNAJN9yodP7gmG5ii2p2SNpe1x4cuJFUy5pwCq8yHXvcO4+WpEzxLQ8vRaUYqD4sys8Q/RaxUKWRcvCU67ARVAyXNTqpQrYWIPj5m0g8yJdNI1PP6sfxvjvA+EYkYGCE6qqkjwZzIfJuv6qPEPgYuiNbdmStE1l+Zgr/KzsVyDN/pamB7rEcA4j3a4J1XPS4dncdXsgyyLniLjFBE2ctT6BzFw2JUVJq0xX5q4meKbv7gCI6Nx202ves7uGqfH4hz4h/n0z9O459oXlf7E860zqf5Hk+98cjkfmrYFKTV/ens9TS9kOfOlUi4rPsyZbLmYXIcMNMclsTrkZYEmo/kArgY4mqfP4FG9y/tpW9TIrJL+SXTO6jXnONMSZ2V4QGwaepaQYTH1jw8zkBVmr/2W2CxvatjN4c9Xsy40oA7dEmOUu1e/TnJlkGnBbtUfD+s5PrjxRUUH1l2HuC9JWg/wybXPUWSkFbVb1xxmhrtYMK0Nx9UmLcw5EZHhjDM8RPVgRqhLeTClvcM7oFsEvSqA8NoR3xV2xy0RxMFv0mMVjRuHurrCSyQssakH8KisjqlEEIOGwORMFLYEJghg+hQmKGUHyXkbrsxCJ/p8SXqv5Qr7hLCew/DakWEjqzYfWb2Rz2DIEoFVymNYZVwfXVaU/mwBc6PnkNYSCTvEpt5p1BcMMT8qDnQQ4OxNx6Zx49w9lPiEVk+/FRVVvfgo90/fTLlvhFEnwHfOraLvF3WUXnuO99e9SVQfY/9YPY8+t46Cdo3L797KtKBgBm0daeb038+k8xL40NpX1XP461evofHneZ7/mww3Fe+gL1/I6VSc+MNhRisLGbm3jQpzhKBucbivgulfHeOVP57O9Hk9CnMV3RnCl3YxF9iU+UbotIoZsYLETtt0TAkoHBU64HdwfAYhw1IZetjIMTgH7AqRvKTsIGey5cxp7OTwLY2srTyoWhHl/hHMG3pJW2KOSQbjZRVHeOJ/LeDGioMACu+y8bptDFthpnneSQW6xUWxE0Q+k/UEDsXhZ+Dy4dlvMDQ9QrlXWXFwKTAzfOSaZ9U9SDHWBdE2Zr6rSwXdUlfphto9FDWkVRsHxOH1wWlbvL8vVNczjkldcJDptd2kHT99+UL6rShzwwKL0WUVC4yKHSDmH8N0hdaQXHdyvkr2rWzf1/v7GbQL1Gf6bZFwKCkSQyScFb4EGddPW7aUEt+o0qpKuUIHTckBeEmDvA/JQrM9Fq/cq0wvkZXPaGJgIasiEt8pv1PXHAITghIR4GQJk2XQHjcRlUG9fCdJOyQCMCOrMJymZlPpS1DmG2Hz8HQC0fH2vawCyarqRNsQuXZBJBkBL8jpz0eVHY68LinlIu9LBp5duRjFvjRNgT46rSKVtPdaUconeMGZep7+fAHnxoppCvePV4scH0dHKyjw5ZgZ7lLehcl8mJ1DDVQEk6yKneRcTuCWso6PTd1TWVV+hrqgUIRP2wFeGprN7p5arm08oLBGaTvAy90z6E9FuK3lbQHTMLL0WIU8fmIBtSXDXFZ+lITHtj2bKeW5/XOorhlkdcVpav1DnBgrJ5H5d4/2/9Jx3oOlNc3heyeX8ejrFyvXal1zaMuW8uhT6/n+qxerkl2BkeHsWClbvrycJ19aoYCUAM90zMb9XJyndy9QTKVGfz8vHZ3J9H9Ms72nAenxFdZzdFpFDNgF1AWHFNvBcg2MMQ1jDKVPZLk+yvwpBmdp2PUZdaBarsGq2lZOvtfkktqTqqJgajYXrzvA2KeGvUqFwEXEjDHW3r2DFXfvIe5LebggPy3hXq7+yOvcu0pQESUb6+qKA7z39hdYW3Jc0SdLjBQ3VO/hjvnbqfInKDLSRPQcyXyQ5YWnuaLskAoWosYYBi6NoQEVYEpz0ypzmIsKjrMr1ag2K9n/lfeWskWAKStiElgtvIrGAXxJJzhuWjrBkkAqFUtrDwkQF8/anUAFDygquQzIBHMkPCkjk39XajYFPTaRVM2W1yOzth6rkLZcqcJj6R419Y2hqcopXdJyXx6YyePnFihfIsfVOZcr5htvr2HfSK3a4FJ2kCfPzeNbv7yMtmyJCvT6rSiP/PwyHnrxUkWxD+tZnu2aw+tfXMl3TyyfdMA++cxKjv/NbA6lajA90Hl3Nob2xTjbXpiL9EdLO35ePTCTaf+U5Y3uZpVxjtkmFa/5sPYWU+4bIaxlGXUCnO6KEzudJ22ZzA10MNXsF88kqWFkXLoyhSSdIBnXpCo4Qv88nWDlqALEOq7G1BkdtL7TR5U/QasldEqmR3vovDMLNwwoCq2uOdzYtI/s36a4a85bag7V+gdZfcculn1oD43Bfs56uIeryg5w0We388DqlxXYNu5L8skVL3DLfS+zsKCNYTtMULOo9w/wkY3Pcv+STZiarbzsNpbv58+ufoLlsdNKvRvgvQ1v8ZFpmwCRsZqaTcwY4wONbxI3U6qyl7DDTA31sDjaqp5l1jEZtsPCMNgcVjo7st0nK0FyjknQrZyTmQkHqBS4TNqh8Uza1Sd510kwtGxTT2Rjyc/Ivxc2BAYrYUcmqXULz62AV2WxxtsyHjZRVhRixhg9+ZgKRuScl9c8MWhP2ILkUDKBlCE/M5EsIBmCUo/G8RIvy/GpBDFtC8E/uW/DeAtVYNCKsFxDVZdTdlAcrvmwwmYCnMsVs3l4GmlHQAkkWPlgsppDozWedYp45r1WIU93zOPIaJV6Fp1WMf/n7Aa2tTWSyIeViv7JTAU/ObqQn55dpLoMNhonx8r5l5cv5+W+GV7lVjgE/KR1Md97ah1HRquwXJ9qjX37tbU89OKlnMsVq3PhWLqC5x9bycO7V5O0x2nvj51exBv/upRNfdNUFTrrmPzgxTXse2gu/VYB0o7mbKaEQ4/M5o2fLvI87kSwu2e4jpF/rOO1rcK3rMo/TNrx8+SpeYT/TxHPnZk1ae5s2j6Hoq8VsG+4VoDuPYmYgRerKXg8SneuUM2306Nxos8UcHpfjUgcveTv4GAVDT/T6GyNEzeTBHSLmsAwO7oafuUs/+8c530glHNMnLeKaXoyz8nRskmqsaEejWDveM/Tcg1K/KOkKzXyJXl1iAc1izkl3Zy6KUhLc7cCy404Qa6dvZ9Tn/Kzse4guuaqbEnSfiUDRmBGcrzv1hd4952vqJJj2vFTHxjgz2/5CXfP2+qZGIrKQYl/lE+vfobG4ICKtrOOydqio9zbtJnBfEQFawk7RGOwn8UFrViuwclshdoUA1qeqC5clNs95ehKX0KUpfOiimJoAtg9MVgYtsMcHKtlZrgLqf4Loj3XmROYJKkgDOObW9oJ0J0vEvYY3sEve/YZVwKDbbXZyz8TZqnjbJWsY1LhS9CRLQbExis3FkC1jCzX4MxYnGpTBJ39ltAO6crF2DY8hYOjAoAo3/G3T6zk5+3zVVnZ1GyOpKt46JeX81T3PKWz4rg639x/Md/6zlV0ZIuJ6qLl1JqJ8/LXV/LjX6zxTF7FRvL4mQUMfKaBn51coA5+gKNPTMf8Sin9VlTp/BwbqaD5UZdtB6ZOUjnubi2ldpPF2XSJCvSCukWoV8NM6B4+zUfGNSkOpEmX68RCGUU5BtCnp+hcq1ERGFEHzJRQH6fu1JmyZvyQNnB556I99HzB5traA0oXaW7kHLPvP8jN129Gx2HQLhDtkmlHecdfvc7Hml+mwecy6ATpzhZSvqaT+G1thAxxqK2PCOzGNRvf4iOzNglBSFfIFGysPMD9617C1GzO5cRcrAkM8+C8TdzX8ppqDUjH86uqDhL3JdX7GLQjzIx0MjvSoaoA8sCv9Y+LNMp5OFGSQQSgJQza4weoDEBBBAo5D48xMVjRNZecJ5wpNKUiJOyQmieSUGF5mDX5u+QhKqsSluujx4ohrWFsNKYHujiXK1bXAJ6WjncN8rtlcCNaR2Gv2qCp9RDVM15yoXmVjaDy10s7AdUWGcpHJpEuhKpvhK5cEUnv70tftkOpatpypZNEYVN2kJ3DjaTsICW+FL3eYbd7pJ5X+meIg9nxqYDle6eWsW+kTmlwmZrN1qEpfPXtdZzKlCvg+VA+wjd3reGx04tpCfRwPF0JwPZEEz/+6SXsGGpEKB4LAdt/3buax3+0Vu0NuubQmyvkXx+6hp++vkLtwxnXx3Nds9n9pUU82TrPE0kU1fHHX1nByS/PYudIAwVGhqiRoTVTyqlvzOD1xxcJlquRIu34+eHxJRj/GGd3b533jsTaPru5gbIfhTmXKVbvbtgKE/95mNEtZeqdmprN4aFK6p/Lc6yjQuxlTpCM66O/I0b5boeEFVJrGCDYaxDs1b32ryeCqLloeSAhgrZav5AeMQ2bbJFGWTA1oZJoY8dzjDQjXOL1HKVGipBhMbjAJjU95+m3ieCwuaCPc5dqVM7qZdALXGv9Q8yr6uT0rToLqjrEvPXm74KFp+i4y2JOrNPTR7OIGhlKL+/EfvcgNYFhHA9eMrWgF/PWHpYvP0bAu8eM62NNxUmcj/bzzqW7lT6Rqdlc37SP3+b4D7XGvvSlL/HEE09w9OhRQqEQq1at4m/+5m+YPn26+sxdd93Fo48+OunvLV++nLfeekv9fzab5ZOf/CQ/+tGPGBsb49JLL+VrX/satbW16jNDQ0N85CMf4amnngLg2muv5Stf+QpFRUX/oRuMGBnW3Lib05eXMifaqR50fWCAd7xvmwCe+kYVHbzKP8ydd76g2AymJqiotcEh/vSKp0RG5gSp8g9zZKyGRZFWimelhW7HhIxMRuqGBzI7lSkHRPutwi+owFKRWlJCTT2vAKGWK/Qx5GEqKxGClSU2nyr/sGIOWK4wPDX8Q6oNIUuvJb6URx1OUe5PkrBDSNViGYzIzFRWXUAcRlkvw7PscX+lHium9GIG84JlIMGsNhrtmRLOpktYV3pMZYqWa/Bs1xwCRp418ZOqLdWWifOzHUuZPq2DdWXHVan48fbFDG+u5NIbd7Kk4AwJOyJA2z+9FM2G99z6ChWeOvehVBUHvzubV5bP4CNLX/GovRq/3LSE+hfz5P68lWDUAgO6ckUUfq+QsVId/UHpHp9n/0A1Dc9kOF0Tx6gSWiBhPYczFCDS5TCaD5B0xEYV0PMkm8AOuJwYq2BqqAfH1Zld1s2ODTNZW3t8kthi7TWtdKyJMZoPQEAcWmtKT/D0Z4O8s6RDzYESX4oPr97E2SWltIR61XdUmcPc9MFXcJjolK1zafwoiT9qo8SXQtpkhPUsD85+FX2O8GabqFL+Zyt/6QXfAa/9lqUx2E9jS//4O9cF5mdR4VmCmhDp6/KA+JWBEWGgqFlszxSSdoXjdHk4iV+3KfSJSszm0emT3M3lgQ5geQdIzBijNROnJiCYnEVGWgjCeUF4xjUFK8gxFYPPcoUXV9bL6GUQIFmFuuYoxozlCp0ZWemQQU1wQiIk56W8vpQrqo+W41PyAGnX74Gzg54mU1pVJIfyEZIeziLt+GkJ9HAkU82ZsTKaQn3jhxEabZk4WcfH9HC3AqEbmsP3e1ZSHUrQFBBO4jYa24ZaOJcq4obaPWofStshvn90KS3l/Vxfscc7qALsGa5j37F6rlx4gIbggGptPrTjYnA1Hlj5iqoQPNMzl3O/bKR0QwfvqtkNXmLw6OaLKTxpsOqO3SwoaCNhR9ibrOPwP89h03K4/9IXFePt0YMrqP+WwTN/UsgNtaIqN5SPcPCxWQSGXaZ+rE9hb3Yn6ij5coSt109nyfpW0MR72XVoClN+arOvvob6ygHCeo62bAklb/gZmerHnJXHckQ1qnWkhPiBPO3LY+hlDnjVI3fYj5lEAYYVliUMrt+Z1FaqjiTY31LNlCIBKJbMxkBTkh4jyvrQkNpnKwMJBjZkKI4J5fmkEyJmjHFJw0lefu903ll9AgMHKYy68PIjnFtVRFOoX1W2GkL9tP7RWRZEhhQ7tsDIsK7iOEc+N8Kagh4cV1Pz48OrXuPsolKmeYKTaSdAUMtz282vCrypJx2SdUxmhrsoumML5f4RJWtg4HJz4x7sBl2tBZnQfnL5i0i166xj0p2PUW4muXfNKyoYl3v0lFAff7T+ZbVfyP1rcewsC1e2K0xW1MgQM0aZG+tkeXGrYgNKjbUrqw4pHGgiH8bwcIuXVR1Ta6jLElInJb5RbqrdDYhuhY6LozmUeI4Cv63xHwqENm/ezH333cfSpUvJ5/N89rOf5fLLL+fw4cNEIuNZ1oYNG3jkkUfU//v9/knf89GPfpSnn36axx57jNLSUj7xiU+wceNGdu3ahWGIUtptt93GuXPneP55wTD64Ac/yB133MHTTz/9H7rBc9kSCMANVXuQrCvTEBGzFJ6SZWdJ/5al0wZ/PwfHaokaGcJGVllmZF0dx+sT9+cLqfUPTgLd4eo4nqN0W7aUmcFO+g0B9Kz2DWG50sl3vOUT1nMefsavwKn1/gHhLSb71d4BmLBD45mzJ5le5kuSd3R6rEIPtDpuGfJWcgoRIwcF4gAK6BYHR2t4tW0alzUcozHYr6olz3XNpu1YBTet3k6FOaLAdd958RJcHT5z5ZPqmW3un8rwN+tJ3jLCnVO3o3uL6udbltH8sywvfdHguoo9wmssX0j6u9WkgfQn2oi64tA8lYrT8v0cJ26sY8Plh8b74L1F1O+1OHZZBYsKziq2jxV18Q9pKki10akNDrO1xaWiYlhJ9Duuxrxlp9hbXsfiyIA6ICvMEYoeaKNkQoXLcn3cULuXA/+nhtWhAXTNJYjQ+fjEumfpXx2dxHqJm0nuueZFFRiCyBAvLznI8msF6Dvj+pRX1rUV+6isTShwtgzG3127U2E4QNCuw3qOaeFuFRzJjE34xjmCxZcX7DgJWk47fhxHvL/BfIFgK5JXVQR5EEpmmsxmJYA1qotseH+6TgW1Wcek346qZxTzCXuZ/nyUMl+SY9kqTM1mWqTXO6j9zA53KIVieX0S6CmDDikQKP2XZPAd1Cyl52W4LtLeQNyTMMAtMDKqXWFqtrLGkWuoPVOCT7dpDvap4CWRD7F9oJHLK46AV76XrRXJhBN2NxrbR6bw2sHpXDz7OHOjgnkW1PJ8++RKUseKufbS7YSDOe/gLuWpn68i05jjw0s3Y2o2p7Pl/OjwEiJvRBh+zxHWFB9H11z2p+rY9vAiMqUalbe+QolPmFH+4MwSiv++gL0fzlM/Z1Addnufn0n8QJ59n6pjSWErAc1h90g91Q8HOL6uEfP6nfRbUZqDvexvrWHKYw4nmstoCA54VP8wBcf86DnILDeVeF/W9uEfdrFsQ5FAuqwiXNPFighdMRABYlO4ny0zNXzlaVVlM3CZXdPFwaua2BhvV3iWAiNDcEMvQ8mwJ1QosHHLi8/wwwfjrK3oUO8oZozxrmU7ebu5npWlZ8R3uAGq/AkWfnA/AT3P/rF6FkTbsFyDa2oO0Pu5KDWBYTWPAd6/djOBdZYyeE3ZQeoDg3zg3c+zKNTK08MLCBkWtf5BLio+yZI7ziJtiqSo7oOzNuHM1FSlL2OLxOPPFj8j2o9omB6kYXakg6a5fQqiIO0qLi05QroooNqOMgDZWL5fPQcTlPbO+pKj3nkj2vVSWTsWEVVL+ZwDukWxF0CE9azyBywwMx4IP69UogO6Rdhba1LaRbEtPZVq6ZHnuLpinhm4HvvMVAB+qdgt7TzkeegAiXyYCjNB0gly3GMiy/1E7GsBZZptuePGvxnHJIPJ7NA5hu0Iu5INLCxoUwxuvPaZbKUaTFbL/22M/1AgJIMSOR555BHKy8vZtWsXa9asUT8PBAJUVlb+2u9IJBJ861vf4nvf+x6XXSZYTt///vepq6vj5Zdf5oorruDIkSM8//zzvPXWWyxfvhyAhx56iJUrV3Ls2LFJFah/bzQE+vEXjKiy8cR+dMZbmI6rCcE8zVHqmTEjTZ05wLODc9WmKGiHecI6KqOTQDdZjpSLIeOY9FtR6gMDnMxWENQtYnqaHckpZG0fC6ICpCip/N8+tZK6wgQbyg6CISbFlsRUNu+Yxdplh5lV0EnWFSq6j51dzNhrZay9eRdTQn0YCDrm0y8sJ3JO48p7tghzQNfH8dFyur7UQs9SH6tuFgC4oG6x+VwLdX/h8tTH5/Gxxa8oDZVz+6qY8kyWE/PLaIr3iYze9hNpF14yPVaMpkAfGdekIpSku1gjFsqoSlZQz1I7o4fTN1Tw4dKTHBitZWqoh3mhdn5ybYpwMKtwAgYOq0tO8dr/NrimQFQlZCb/kcWvcmh6DTMjXZQYKQ6OiZL0Rzf+UmUwElQ4O9zB/Rue9zK48Uzw0vhRlhe3KjyWfEfXVuxTGeNUfzevp2YwLdjF8kJBVZWBCoCJowJdeZhLZtZQPoKlGWpTGbQLlC1C1jYpMUap9Q/wWmImdkSnyhwmYQucQtQnAlnJOMw4JrohVL9HncCvmPKaHnDackTlSEo+9FtRJbqne/co+/IGLllvPsa0tJrXsiIh1XUTnm5O1vGptorAS/mUsaK8hrOZUlXxlFnfUDbMqVQZ9QHhdyWVcR9vW0AsmOHayv3ierQ8R9NVvHpoBlfOO0iZP6ne+V/tuhJ3yM/9615iVrCDDquYx9qXMvRMNdbFI3xgxlbvu0V7NGjkCeqi2mPjEQ7+fj79CzTec5VQ0Q3qOb6xdw1TH7Z57vOzua5mr6rQ+rU8utd6NLU8GfycGy2i5Tt53rh7KkuXncVGEwD7Y8VUvuUwts6PVEV2XI1Ih0uuyKf8mgK6hT+Qx4oKdWM5PxtC/Tw7z8ENjutIhfUsi8o7eOX6uayqPy0SMc0CHWouaadjfoyrI90YiHk+v7Cdtk8Us664m0G7gCr/MAYO18/Zy9n/JaqvvVYh1xfu5hf2QuquamVpyVlVmUs6QS6vOELmIycxvMNLyid8fM0LJG2huWS5BpU+Ud2+7drNkzSXMvi4NH6USzccVYmJHA80b/JaayJZ680VUu4f4WPTX2bQLlAViQQwI9RFY41Y75JMkXFMFkTbSOTDxHxppbRtajZTQz1iTTnjBr7jgrRSTdpBMsdO5cop9pTjpbwFiEpLzJcm4gVEVf5h9ft1D0tY4htFx1GVElvTVfAlKoo5NS/k2hOYtDwJO+L5cVnquuQeLwMWmXTr3v4nrsuvEiohDutT51RaVnBhQpXVUJ/1tgcSdohi36h6LjJZlhgpmZQk7JDahyyvsjm+V+igoUgnci/RNQfbY1wn7DBpx69MWIX1jQD7y7nSaxXSbxUQN8fFc0EkentT9TiuTpGRpseKqaRkzDaVRpGBy3B+3NbltzH+n1hjiYSgK5eUlEz6+WuvvUZ5eTlFRUWsXbuW//2//zfl5aI1tGvXLizL4vLLL1efr66uZs6cOWzdupUrrriCbdu2EYvFVBAEsGLFCmKxGFu3bv21gVA2myWbzar/HxkRL2fEDoMVUq0mycDRNYf2TAm9utA1kXoHPVaMLf3NxPxjWCU+lhaexdTyHB2r4hf75zOzsYvLyo4q0PDLfTM580ITTVecYX1c6E+g2fxw7zLim/xM+5DIDCUQcMtji4h0OVT88YhoC3gVnug3YpxpiWN98Kia6IcGKmn+aY5tlY3MndXhLUKdvu4YNadtRm2/Kj86aOQLHNJVOqZuq5Lp3GgHWy6fSbB6RFUWonqGy+uP8uSfzGfD1MMKR2C5Bre+YwsHl1WzuuQUg/kCYr40M0KdpO/cQdxMEfMJbSETm3fFd1LygVHK/UkcV/NAoxa31e2gpzJGUMtTExCLboq/l7tmvKXsB9KOH7wFf0XZISK6CAYG8wU4aNT6B1laeIaUHeRYtkrpa8hWiwxubHSGveBCgqoFBmO8vQUeUNT7Nw6qnTFoFyjDyqQTVKwgSVOXvkYis/OqNJ4o3sSsRb6zDML1vdg3qtoXLaHeSaJjIovS6clFVQVMesB15ooZyocp9zYFuXGeGKtgMBdmaeFZ0k5ABfVPnZvLkrJ2FhacVW2wHcNN7Ght5MZZezxTyJCq/khxv2LfKCk7yOsDUznz82bqrjvDZWVHMLU8Qd3iO0+tx8hqXH+dCKptdJ7umU3m76p57kaXj68Q9PKInuWbL7yDupdstn8uy5JYK7Zr0pktIvivxXTN9JG5/bB6Jm+2NTHtoRxvfqqJ903dpg6Z4KEQ4W6XzFqT3elG4maS+uggmf5KUmPmJEwZ4Fk/iGqQqdlUBxK8shQCTSNKv0vXHFZOO8229zdzQ2kbUT2jQPY5b+7J925qNqvjp9j2Fw53lraiaw49uSKq/MPcdsXrtK0pYVq4Wz37uJliwwNb1IEgD+pbW3ZRMD3jgXU1hfe7f+1LSrFdtgUuip1g3mXnJlU6DFyuq9oLVShCga45hDWxruS1ikpagLrgoKqWxIwxXh2dycxQB0apCOD7PD89qTsU9wmBR6nfAoL4MNGXq90SlZGSCcGGvD4Q2k1HxqoF484xCWs2w3aYXqtQmRmX+0e86onf2xPHk0wxB9PKLFWuW0C1JOX+mvUqjMW+UUzDVqa/cp0X+VLK+kYyJAdtIUZrakLq5HimctxkOR/GMgxKPL83+WzkGhampJFJ+0nQA68n7BABLa8q9FMCvUzx9/LZ0zdwecVh0cJyvbVtFeK4mpL0kBipw2PVWK5BY3DAs3ARc2V7cgrlgaSHc8th4HAsXcnB4WrWlx9TQYnj6hxI1XAqEeem2t3KRNV2db5x7GKaSga5uPSECoJaM3F+tmcxy2ec5uLiExT7RsUZN9DMkaO1XLboEEsLz3jYVIOvHV5DtjfM+y/eTMb1qRb2jzevgniWa2YeoD4wiKnZvD3SyI5fzMVdPMJ7p29Xz+vFrpmM/LKKwo1d3F6/XRk4f3HztURP+Fh80wEGbFG57srFeOqZFQSGNS55906mhnrFuf1bDoT+02Bp13X5+Mc/zurVq5kzZ476+ZVXXskPfvADXn31Vf7+7/+enTt3sn79ehWkdHd34/f7KS4unvR9FRUVdHd3q8/IwGniKC8vV5/5t+NLX/oSsVhM/VNXJyoIuubw8O7VPPGdSzg+WqEi3X4ryuYfLOWF76+kKycYRwHdom2sBOvvKjn2i2keQ0QECQeGqpn2TYtje+rHmU12gNP9pVRvGaNtuEgJ6FmugWY4OH6IB1IM5SNKAyM1L0PPClfoCbk6GddHgZGh931jxK7qmqQJc13dfoz/1csNU/ep7DuoWbxn8XbW/Nk21hYdE/gGD1v0oXWvcv8Nz6q2WcYVTIuPXfo8H5ixFQNRek86ooz8iQUv0RLqxUaoB4f1LE2BPi4qFWq0pp4nkQ+TdgLMCncqJpZglfjZMSqEzAqMjOcaLypTMvOSB1XGMdmXqfeqFo6ijct7N3AYzBeo6kjMGFMO3dJvSrCcRPYQ9wlBOcvxqaxUVmWWh0/Rmin1rAocknZQtVxkliWtN0zN9tzqfSTsCENWhN5cVGFGInqW3lwhe5N16veIDTHMpoFpvJ0QzAa5kfZYhXxlzzreTjQoDSAbjR+cWcLfPXcNKS/7cVydjmwxjz1+Cd8+sIoKM0G1Ocz2xBQeO72IN/9mOW8OtEwSRnvlsWUcfni2x3wU8+yV3hkU/J9CnntjIV1WkTrot++YTuNDGu3pYjpyYp0VGBmuKjjI4WSVUnbWNYfhbIhYa57OkUIFzE3aQfIFDlaBmKcyQJxW2EvXSh91tQOE9Sy9ViE9VoyWhe203uwyq6CLsJ4jqAnldvuP+pl21Ql1SFmuwQ1T92F8qZ/bmt9WLbhi3yjX3/IGy+/draxrAJYWnmXtJ9/io4sE41GCj+UzESBsn8pQ793wIg/MfG0CI9PgouKTfHrVs0wPdyurG8EIc9T3yBE1MlxaflTNScfVSOTDVJnDLPKqFXIUGBmmBbtI5MNKybrHKlSHgQQiy+uV/nRpJyCwdK4+yW1c7Bs+rxXhqO8AFNtSthwNxtubstIgAdkA53KlVJnD5DxclNTEinqGpVIQVgL0k3bIa6mOETPSSrRVVj4kS0qQGQQVXyYYMvgQeMRxgUx5PdISZyLoG0R1JmUHJ9nftGVLOT0WnwTmLjAyHB2tZMtwC0Nei9TUhKffY2cXs3e03iOCiBbxa/3T+eGppXRZRQjlemHx8fCxi3isfbHaA0wtz/aRKXzlpQ3sSDR6ViECL/bdM8t5+JnL6MgWq323KxfjR8+u4aHta5QNT1++kL9q20jqWzU80b5ABSqWa/CDt1by8pcvYudIg5ofbblSXv32Cjb9ZKl6f4BIRv5iBj/ZsVSdHxnX5OcHFmJ/sZwnz81T7xpg55Nz4WtldOViSDuitrESir9TwPHNTeq9pB0/L7bNYOrDFjtONClsU9jIcvRAHVN+anNyJI6Bw/xgG725KMHXopRv1ejNRb3fqZGyA8R3awSOCl/IjIdhHcqGKTrlMDYQUhhTU7MZHgsS7nXI2UKmRO6P6C4epEvNibCRww5CrhAPY5ifVPX6bY3/dEXo/vvvZ//+/WzZsmXSz2+55Rb133PmzGHJkiU0NDTwzDPPcMMNN/zG73NdF00bnxwT//s3fWbi+PSnP83HP/5x9f8jIyPU1dWJBd9vEu52cDzAn8yqUnUO6FDsS6t2y+yCTl69cQaF8SEPMyQW77ry4zz153O5svyYqkrEfGn+ev4T/OPn3sF7Kg8rtoep2TywaBOJeeFJ2BIDl08te54iY5ROq5j+fIHKVN43Y5syE5QZX9jIcmn5UaYGeuiwijk4WkNdcJAq/7CHqQgpMKWFoUrutqMpcKdkYckDQKlPO37C+oSSsiccBqhAzMAFPa9wAHHfCIbmKqq75Rj056OicuH6MDx6pqy8yGcqe/KWa9CTj3l96HGH+KQTVDYdQU0IVKYdPx3ZIhqDA5MYM62ZUnYl6llQeI6Y9966ckU82zaL6sIRAhUWU0J9ZB2TlwdmsuvgFN65bDdVHoB8MB/h0c0Xo2d17r/qORwvCDyWquD4t2cwsMrigeXi4M04Jj/btYTGn7kMfCbCVeUHxLOzA7Q92gI6zHqgS9CvNYfdg3U0/4vDtve1cNHqk5T5kpzMVjB8soS6V216LipkdriDHivGgBUh2A+ZaiEqZrs6VcEE1YUxuqqK8ek2Df5+5d6cWZgmlfapbDiqZ1hZeobvfaCcubVnkBL/NhpXrt7D/lnVLCs6o8r0HdlinnXmcGnJEQbtiGpB3Fizh8H/FfEyZAEcjxoZ3n/JZgCFc9I1h1nhTqbfOA64bg70kLAjAn9XuV9sjl7AHzPGuLF2r3KHl1W8msAQVeUJ9e5tD2QZN5NU+YfHsRa2CB7qAwPqYJWBsdSlATiWrmRKqG8SA1DNT+/vJSboPE1kZ4X1HIX6GJ1WMWkPPyjcwyWA1BWCrD4BkJb4CIlL6c8XUuUfVtINzcHeSRpPklIsq1DSsHIiTiPljJsHg2grSgVupfSNZ9VhFRA2cl4LS1RpLMdPT7aQmDGmqooGDsczlXRlCllU2OY9swBJJ8jzPbOJB0eZGxUMoBIjxRuJ6bze2syVLYeZGupRGlPfOHExiZEwt8/dIXBUuAxahXzjxXdQNqOfe5q2kHYDBDWLb52+iPSbcdbesJvZkQ6k2Oejz67DyMGd172qgpgdI02c+uYM+i7L8qGFbxBAVD4ff3UFZbsg/5GDLI+dJuuYtGZKOfZPs0nW6tTfPqTe/49PL6Lib/08/UdzaV7Uh66JwOv4y81Ubs/R9hcl1McGSNhhzo7FKfluhOEpMaLv36vev6i4Z9gZb+CS4mOUmwJCMXSklJotNoOXRDBCojU5nA8TbYWhsDEJO5PIBXF8otUl8UGWa6CF82SLfTSH+wXA36sgj7Q4OCFHzaGonqGxYIBnV0+hcUon0vwVYE5TBwevb+D68jOqGg4QWt1P57ywJ90gAq/60CB77k4wp3hAYU3rzEEurjnN1k83cn3NCbWOAa69aBeHZldxeflRpQ5dao6y7L17yDsGxabABCadINPD3eQf2IPliDUZ942QsCPMiXUy8ieDrPNlVGCdsoO8p/ltOv5Y7N02OhmvunbX8jdhOYooM+iJ0b7n8tdVZVDuFbJt/tsa/6lA6IEHHuCpp57i9ddfn8T0+nWjqqqKhoYGTpw4AUBlZSW5XI6hoaFJVaHe3l5WrVqlPtPT0/Mr39XX10dFRcWv/T2BQIBA4FfVKA1c7njH6wSvENReeXA3BXr5zJVP0uaxtyRgucDI8PGVLwF4fV+RhYX1HB+a8gY2uirPpuwg7ZRyVdVBynxJ+vJRRZc3cKkwE6olEfeNcGisVmCGMpVEjYzq55p6jiDCj6svH0V6PckApdfzK6v07ACYcOhJAKkMLKRuju4B7oKapXBB8nkENQtLE8KRjUFh3ig3GKn2GTUyhPWs+j2tmTi65lLrH1SB2nA+zKbuqcwr7WRhQRuWKxy3dyQa2Xmmgetm7mNqqEe1f/5132qcEZMH176orrc1E+f5H64kNTvLvUtfI+0EaAj08w/HLyXycBF77+3j9vrtZD1cy0tPL6X0kE3lp0Yo8aVw0OnJFlL4zUJOLywldesxcd+Gxe4z9TQ87XJ0egUzKrsI6hY9ViGhbgPfGAzlIxi4tAR76MkVYoc0AtGswOB4G9eUph7a19UwM5zwGEwWUTNDdmMCvy+vqgcAl5Uf5cnPzePTjdvIOiZbky00Bgf48Dte4sCKGmYUdKkNY06kk8oPjRDwKo5SRqGiYgT7nkOKsQXQFOjjowtemaB3JFhQUSPDxxa+rAJOqfS8JHpGuXXL91dsjqpqloGLOUHsTeqFSOxQ2MgqyroMpCeSCEAESJ1WEZbjUywqsWZsJedgarbSqKowE8JQVx9vQ8j70TUHvMMi7htR1yFZKsoo1AqCJ0h5LldK3EwyNdSrlHYl3km2FIV6e45To41U+RMiKGPcPyplB0kbInExgbRmM5QPE9DzlHsMubQToNcqJG37uTq2j+/1rWJu9BwAB1I1ZG0fs6Jd2K5OkTHK3kwDjx9fwNK6NlYWnVLB+uNdizh5qpK7V7zhAWAFCeGbz78Doy7NR+ZuEt5MY5U8fnwBwW0FNFx/mo3l+3Fcjf58lF+8sIJgv8b1d26m3i8OmZ3DDfT8QzPnrnT4+EUvimeqwU+3LqfpiTypzwe4tnwftqtzIF1L6l9qaZ9u0HjzAC1Bsce+fGAm07+R4ZXPTqN+6iCGLrBT+c2lVJ+xSc/yEwkIMcHTo3HqXrJpJ066QYod6gwMFFB3IE/r5SUsKGgjqI8xmI9gJjX0/LiJsQT8WxEIF2RV8BrWcwSbkvQ5hVQERujIFVPvF7pSXWscQuUpmgJ9RPQsQS3A3PIu3nzvVC5qPkHUU1IPannq152lb1mEGZFupSPUEu7hxAOdNEcSKtAM6zlubdjFa381jbuLz4iEV7Mo8aW49R1b6Lo4xtzoOWwEqLwp1EfZva8rvzlR7dV5Z/U+ej92hprAkFLLDmoW9y96jcwCk1r/AIN2AaYmbIxuX/8GM4Od9OULyTomRYZwbm9853NIEVYpU7CxfD83XL6bqJ6hOx/z9nc/d095U61NmTg0BPq5b+pmuqwidQ1B3SJk5Lhv6maVpEtYyNRQj9qbMzlTJeAzI12q8rc+fIyHB1ZT4MsqRluvVQgmimwgBUmzjvChtDRRyZka6iXt+LEdTQk8ykqvxCzJM0mytiXGK6znSLq/vuDx3zX+Q4GQ67o88MAD/PznP+e1116jqanp3/07AwMDtLe3U1VVBcDixYsxTZOXXnqJm2++GYCuri4OHjzI3/7t3wKwcuVKEokEO3bsYNmyZQBs376dRCKhgqX/25GyA5R7EWix9yIkADFhhyk3R1Qv1TIM7HxE2QfIQ0CWkCWSXsqBK4C041Mu1ehMwAcYHrZEACflgRn0gIayTSdL0cN2mLQdwNFFxmi4wkV7vPcuvHwOpWvoysaoDw1imrbKHA8k60laAeYWdo6bY9phfnBkCaWxUW6q26M81E6my3n9mYVUXNTJjTV7VCnyRycWE3yxkOl3HmVlkQBxWo6PJ59YTajH5fr7NykLh850jMA/l/DSxjjT14oWGQ5sP9TMtG9n2f6FRmpqh9X1BY6EiLa59K4spDkotCqyjg//iAuZ8YO2Lx+lITbEsdlxZoYFQHB6oJM3R6cRXtJPR0MhawyhdRI1MkyLdHPgviqmhEfV4YkGH1jwJnun1DKvsEOIUbqCrnn3bc8zmI8Q95ztdc1hdqSDxfe1MmhHyHk6PRnX5I7atxiuCk8SaIwZae6etlUBo+U8KfaN8t6GtxRYUQDZHaYHOlU7UDLD5DuVc0i2KyQY1MKnqgpSME8CVKN6RgQsHlZhaqCb3WkhXim8gkZVid7UbGwv6BjHPFgKbC10cYQvWgZTVU1hfKOVApUKwDmhZSfp6NKkscQnstQgoi0kK4KyKqprAvtQ6RdYnoCXocqq3JxoJyU+gUVLO35e7ptJ0LC4rPSIwo105WI8fWQul7ScYFHhWfDu7av715IbCXDP8teVMODudCMv/GIZ4aX93DFlh/Jj+ofDqwhtjrLyrt3Kgyrt+Hn54ZWMVbrcd+OzHitR44nT86n8pwBP3zeHB+a8RkQXApM7fjGX+ME8dX8xxLWx3fxgYBX7B6qp/4rOm7dPY+WaU2Kvcf2c3V5L84tZjs6pZEmslbBmcSJbQeVbLoPDBaRmSeE9HcNwiLXmGRwLj4NrNQfXEJ5elmMwaEeI6hlqw8McnW5QUJZUB6gJ1Lb0cvaqCjZGhjibFWJ1NYEhnr1pjKayQeKm8DCL+0a4ZM4x9v55DVfVH1V2PQBzbjiCT7epDwyS9ALbZUVn2PFncHWsDcnatFyDDyx8k945URqD/d7hHCJsZPnE7U9wOF09CU+3pvg4s/6oSwWJsu38gelv4kwbZ1NJ3OInL3lOtcaldtOMgm5WXyySa9sdZ1tdVylsV6TBs6jKGdxYvdvTZgqo/SvhhD121zjjK2GHqPIPUx8Y8BidBimvg9Ac6PHYwaZaG0HNUp5yMC5aOe5rF1BtQik222kVK/KGaDP5Jq05sU8EqfUPCA9JD04QM9KkPOuepBNkyIoQN1NKzVomwJZX3bRcH43BfpJOcBJ7VL6LrGNiaePMVEAl9L25QrZnGrFcg7gvRVjPci5Xota6PBflGrccn0paTM1WTE8bTRUHMh71XvcSfVkBdlxd/dn4ufk7zBq77777+OEPf8gvfvELotGowuvEYjFCoRCpVIovfOEL3HjjjVRVVdHa2spnPvMZ4vE4119/vfrs3XffzSc+8QlKS0spKSnhk5/8JHPnzlUsspkzZ7JhwwbuuecevvnNbwKCPr9x48b/EGMMwDfhgUrH26QdFPR2X0pZMRSbksnkqRp7NF/b1akwRRl+b6aeYNhSGASAtB2i3ypQeigVvgRvJVuI+jKcSsWZXdhFQMt7bJUUL/XN4sxQCbc1v62yk6F8mG8fXIlj6bx3wVuqTLhluIXdv5hDdG0Pt9W/zZAdoceK8aO9S6l/wqDn4+e4svyQmIRo7PjFXEoP5xn53KAC4SXtIOU/C5GsKSDx/pCyUTidjFO1LceZujh6raMOS9fVMDKQc0QwFzPGGHIjjDXmyMR9k5hz0wt7+OmtNSyackZl2QHd4obFu3izdgrXVgvj1oieZcAu4LLrdzKaF470sow8J9JB6X2jCiQpS7eXxw9z+e2HFSPvdK6cYt8oD0x9jeEpYVVtMLU8QS3PrQ1ve+KNmqpqlPhSLC1qVTo0UkYfYFqwS4mzyeDC8OjLWQ8cqRzQPRE8GdDJQz3tiEqHFAZ0PFaf7WFiHFdnyI4IpWVzGBvRLsjYPop9o6IV41VmwkZWgN49mrg8HCRFGcZxJ5Lua2o2vVYh26wWqsxhShBspaxjcipTRnOwD9Nrc8oKRG8uSl1w0PNV6qPHirFnpI4Sf5qZ4S5P6dfHtuEp7Ouu5qom0S4JajlOZSv4wcFlmP48989+TT3LN4da2PvsTGrWt3NT9S5wHbKuyTc3rafgrMEV79lGY7AfU7PZOdLEwS/PpXcp3L7+Der9ovX1nbcuouWHeV7/fJgNFYcUjm/w6w3kgxrJPz5DVM+gay4vnJ5Jy1dtdvxpPXOj5ygxUnRZxQS3FhDvtBlYFFGg/rbRYsp352mrLsKYIgLthB3CyvooHHWxHEMdoqZmM1YBuWJHHVwxI838ik52XDGTBdXHRSXUq9RFVvfRNU9Qxk/kKon6MtxQu5fH/2wBF8f6VRs+qOV515VvcvCiatWSqjSH6TFjzP6T/VQHEirQrA8M8Kk5z3P8C1XK18xGo8QY5b6rn1PaLwKLlaMmMMQH7njWEybUlFTBLXVvQ924MKnlCmX3D8/ZolrNhpeVL4q2sbzwNEkniN+b+wVGhpvLd5JxTE5nBV5TtrhXFp1Wz8fUbKJ6RgjAem72MuMvMcSeKlokmgoSpOyDDFRwdXVPMvgIG1nKfCO0WyWKYj6RqSXBwLLqKf7tU9VcuVZjelYx1qSgY48VEyxeT5LCQcPxcGMS+zSRySWH0BGzCWJ5zMFxYopMaieu24lJko4Icip9Yr+Im0kl9RHw1LuLjDTpfIC0YzIndA5Ty/Nq/wzWx48Kc2lvXwt6azTmG1P0cxnAph0/FUYGR/cCHzTB8NTH4QiyzZy0hZeaZHnquBzPVJLICyzQqBNgSkjsIacy5V7VWhBLpDBxvxWlL1dAZWCEEj2lEooTo+VUBEaoCw4KmxVbuC481zubuUWdkwx727IlHBiqZnlpK8WmUKIf/g0QmP+u8R8KhL7+9a8DcMkll0z6+SOPPMJdd92FYRgcOHCA7373uwwPD1NVVcW6dev48Y9/TDQ6rknyj//4j/h8Pm6++WYlqPid73xHaQgB/OAHP+AjH/mIYpdde+21fPWrX/0P32DUyNKVK+PMaCmzo12U6Cm1IJ/rnY1Pd1hc1KaYAEP5CD84uIxIJCMAnZqjDCS3PDOfbQsSfGzmK7TlSokZY7zSM53st6qwbh/kilrBuqkNDPHQW2to+onDrj8zubj0JADV5hAnnm8mfiBPxxeER4wwvctT9GoIK6LBAhEM+D1Mgz/hksqIgzBt+zF1m5J4kv45ceoCotIlg57oxb10zI7y/sg5krYwUY2bSQruPUdtYAxTsxl1AkwNdLO2LMTBz49ycUHPJHPA26a9DZ9AgZTlxvXxFS+R9D7XaxWi4zIt2M2nlj2PVM9NekHlrHAnUxt7RIlWtzidLcdBoy44qLzGMpiqnCqZNzKYEn5KugIqShCj6bFTirxgo98SZp9S3NFyDVE69/6OPNxk310q+gIKMyFBhTLTi/uS6JpLxvaRdILotvi87NHHjDRB3aLTAyFLxfCwLqoePVYMB005MNf6B+nMFbN7pJ7lsTNehcYDxUqcDBoBTfjRdWSL+cmRRaxobOXa+B6OZ6oI6zme6pzHuf2VXL9+O3PD7fTnC4W+0wvrcPwu91/6ooc/0Xiyaz5jD1ez+d3DvL9lGzFDGG9+/+frKT3kkP/jvcwMdwFweixO3+ea2Lc6wOJbn8ArWvLWrmk0/ySL9WWDXksAqVP5APHnAliRIInpQlMk45ocHSin6q0s5xYUQfV4O02zNeEJpgm9pUE7QpGZJlWjo5WPKfNYy/XR0NTH2SuruCrWg4FLqZEiGLCw7hhkNCMCVQmmv2rKIfZ+sZYNJe1IVlNYz7Huzh0M5sI0eno6QcNidckpWr8wzDs9rJlsAX5wwRb0hQ4N/n4G88IrK+ZL874bXvLAx44KglcWnWLN9cfV/JSCpR+a8oaqDIw6AZoCAqtyW/3OCW1MA0PL0xzspdgcVeq+hzM1GJrDuthRFVgl8wUMWBGmhPoUNkpeswzWosYYo05AeK4ZGSzHR9AQbfWMpxQvM+uYMaYwUVKkciIT0dRszmTLFbkChDyG8PQaY9gOc2C0lrrgoArAZEATROxPkowgTT5lkGK5IsCU7Q5ZQZR7iu1oKnCQ+L+JCt8B3aLTKhaVEK86aDk+VbG0XB9tuVLivpQXTKEwnWknoIJ/KXHSlSsS69TIKl2lLqtIVSuk67rYG4QmVWNwQAWWACfGBCyjJjAknrsu5vQbA1OpCiUEPMDxYep5lfTIwMPQLLKuyU96ltA6XMItTbsJ+0Twm7KDPHZ6MUXhMd5ZvY+4meR0royT6XIOnBDQk2XFrSrBejMxlZd3zebKpfsVHqsjV8x3t14EGrx7+VvEPUHCfivKz35xMdm6HPcu24Tptb0290/j3ONNGJf3c2vTLmVm+88H1hF9OULjnSdYXXLSY9ll+cmrqyg4q7P4tv0siLarquHTj15MPggbbxbyFo6rs3O4kfavTWXbMrhz3euelIXFw0dXUfqDCE/eGueOmTuIGWmG8hGe2raYuudddn7M5erKAx4543e4IuS67v/vn4dCIV544YV/93uCwSBf+cpX+MpXvvIbP1NSUsL3v//9/8jl/dqRdkx+unU5Na9A5kGTK8oOCQZH3qTjyUbMlMuc+zvVAdyXi1L5hJ9kXQhriqEAdJ1jMUoP23SWRklOD1JujmDgEDDyJIo1Qr68cnqOGhlamrs5fXUNV0YGRbSeD5NxTZo3nKZ7dVSBgA0cDJ/LlLuOUx1KKCBZXz7K+uKjNH+4X+l+BPQ8DhrvaXqbTIM5afEW6BZ3NG4n2GSpjd32DFZvrd5JULM4m4vTb0VV4HNx8QnFXJPBocy0gppFv0e9NTWhZxPzpZXYY4kvxZlsmXIlT3nPT1aFJDBv2BbUflOzlWYTiIwp4YSJ+5KTNkyJTZFl2KD3jCTY1UYj4wmSydK6PJzExl5GvX9AYbNOpCsp9ycVs8ZyDU6PldGWLmZ9/CimlqfAECC/ZzrmY+gO76zep0CnJ8YqeOK15cxe3MoVZYfQNcGM++7RZegHolx9/TZmhLo8hkqE5x9dxVily73XPCcCOlfn8bPzKf6HAr798Ure37wNyxaHl8xoJXAyqFkcHKmm+Z8d3nrXDC7beJhin3B1PnuynJans5xaFqc5KCimaTtA4WmworrHNsyRcCKYus1IWEPXxynPBi75ljH6AkEavLm3d7SehQVtvHjrHOrquxQeDmDjqt1srm9hlW9MiXAGdIspf3SMkCEYhYN2RAjkNe6l86+LuNoDqcsg4IOXvQKX4XmzxYgaGaaGeojf+ZKaK7LFc2PNHszanUpdecCz9bi5cdekeRPWcxT4stxWs0Mdrv15YV3SHOyjOYgy2e2yiogZY8yJdJCwQ6oyUmBkmOrv5u30FPan61V2KgMHWW0UB5h4hhNB0JZXXXAwVHBk6C4WBllbYOyCusSLCF0Y0xXvu8hIc3CslqBuUW4Kw1hJcjA0h0JfRlWS5HubOPdzro+oPobhEwmasDUY42w2TolvVAlPSouOiSBbWSWRzxHA0UQlRFauAoblUdYjHrYsTZGRVmakQa+aZGvarziX91pRavS8UKR3xX7Qli3leLaQhtDAJMf6V/pnUBseZnq4m4BhEdGzbBtp4fWOKVzZcITZoXNk3HFFcjQbQ3dV0NZvFfC9LauZNbuNjeX7qTYFgeTRrlUcfbOJi9YfZHnhaYKaRWe+mB+8tRJzyODD17xAkS8lNKQcg2ceXc3IvByfXvksAH4tz6NnVuD7binHPniO++pfpTsvvMte/ukyzBG4497nqQsItu2bI1MZ/OcGDq/QWXh1G3EziYHQA2v3nrXEExUYGY6+NJXy3RbtXyghXpAkYghz1cBPihgsL8G6+yCF+hgGDu2jxTT+FA7cWMdFK0+he92Kl/fNovmneVpnlnBp7LDn8ein4IwPIwPmSpu4T8zpY+kKSo449IWEXZEkxXQlo0R6HBKWqZieALatCwNyI0+Zx87VNQfHE92sCIhq/pqCo/xscCm5QsjU5dT61DWH6lCC/TM0QvUjtAR76PTkIuZUdrH7oqksq21X+76OS/20HtqcCm4tOTtOFNInV+P+u8d57z4f0PP4SjIMTo+wMDKAgUPKCRI1MhiXDpDOmVT5EyrCnRdp59S9cSr9Gc/OQHjvrC05wZE/TbHGl1bMpriZ5LrKvfT/0SmFfwDPMDV+mls37Bz3ztKFP9ktlTs5malQzBZTsynxpbi4+KRSlpXfIzc6eRjKMmbSCXr0dNtjlOQxNFcJmkldiaBuKXDqgF0ghAB9adJ2QOGkJNBVCphNZK7Z7niwYbkGDi4lvhSjToDjmUol/e44usoopBFijyWYLEGPQRTQLfqtKCfS5TSH+wjoFiW+UfrzUfaN1JKxhVhb1Bhj72gDYSPHt/avYmFDO2tLTniZlcNP25fR83YlV1zxNlNDvVhopO0Q3968FmNUZ/HFx2gq7cPUbJ7unsfoV2vpuXlMtQSyjslzby5kys+zbPlinivjB5U3Uv7bFaQLNfio8Lmx0dne10jzz8Y4EKtlY/l+9X5zXRGqjtoMW2HskAAdm5qN4xfWGyCwaBnXpKZwhNPL47QUdqgKnsAu+LAcHwnXo0XrLuvjR/nx5yOsKzml2CZBLc/dq1/n4PxqlsVaVSk+5ktz1Ye2qDJ7f15Ubq6p3E/qY8eVcaU0t/2TRS9gLTSUZpPUA/mz1U9jaI6ic6fsIPMj7cyZ3iEAjxM8sy4vPURUzzBgF6hKXYWZUFU9efja6OjuODtGtSFc4SJeZKTpc6PEvEMCV1TddNdVWbKkfEstHDEXNZoCfepaizxWmvQTS9lBwmS9+ZgVvydfSJ05yLAdVkH/iVwlJb4Us8wEHV7lAQcPCDum3l3Ma48m7IgKWm101QbqyhTRFOhTOBVZDZFVC3FP4h2k7QDDmrD3iehZBTa3NCGSGdAtqswh0k6AI6NVTAn1U2WKlvugXUBvrpC2sRIWFbYRM9KqEvqz7sX49Twbyg5hunkcV6MjW8yTR+dz++wdNAV66c8Xgmvw8NFVWDkfn1jwEpbrI+4b4UC6jqeeWUHFsm7eW79N4MVck28eXYO+JcYVt29jQaSNgG5RaqT47I9uxw64fOLap8QBqsFjnUsZ/dcaRm5J8rGZr6jn8MPXV1GyXyfyRztpCvSRtIO0Zkrp/VoTx1t0Wm57liJjlKQd4tnDs6n7qY/dH6ujqnJYtc9lJTft4WQAzo0VU/MKHNLruLL8IJYrRBkPd1RSvcOmc3kMMybaVg4a5qBBcEC0DuXckfYc5DXVHs84JtFAloEKnUpTAMRldT49M4M7KhjDZ3Nx0o6fkJ6jcz00Te+g0kwwYgfJuH768uMaYQIzKirSjetbObugmOnhbsWosl2d7M3DVBakCGp5cl61+Oaqt/nOJ1ZxTYlYh2nbT7EvzTsX76F1einvKBNBUM6rVK+9aRchI+eRcETFqiXci/OxA7SEeyn1pTiWqcZG496W1zn6qSoag/2q/T4l0MPHFrxCx8xi6gMDk3wdP7TuVWxXV6roBg4BPc89Nz3PlEAvxzICAxzRs8wKd1Jzw4uE9RxFxqgI0s1RLi4+yWVXH8HvKVfHjDEqzAS31e0gXeNX1fqAbpG/EAj91w7H1blz9nYK5mWQpp4SNPa+5rdUuVdO2rCeZX35MRUEycwMYHZksi9Ur3fYx4wxQQ/2mDsB3SKu2SpTlYJcgFogJR4A7ehYNQkjpNoEcvxbEG1QE0GNPASDmqXYEqWG2JTPZMvozBbh02yKzbRiPiW93rFiFnnZqhzV5hB70g2UaEIE8PW+Fi6vOMK5bLECXb/aP51DZ6q5c9FblJsjxIwxEnaI7216B27Y5t7lm3Bc8Rw3DUyj/ZEWRq9Oct8sQcNOO34eenMtDU+5JD4d5OqyA/TbURL5EMe/PQNf1qXrk8KHqT4wwLN9c2n+usveG1pYveEkpncwtXeUMuWVHMdXljM/0g6OCCACfQb+BCyOnfVKyFkaCgZ5Y1YD1SUj6nmams30+W0cCdTy7gIB2J4e6CKoWXz/xqVUFY+oANNyfdxUu5s3/raFmyMDqioQ1nN8aP0r9K6OMndCG7LWP8j77nxeVackxXlj+X6sOw+p75WASPkupNiazMrf2/CWAqFKgHPcl+QdJYcxvCpbxvVRZw5SbQ6xPdnM3IhgMknWVFOgl06rmIgXDAzkC1TlTQbB8vMlvpQSGJT4NKkuK9uQwugzg47DnnQDM0OdnMuVeHg5nYmeeDY6EV0cIrL96NfyDOYLVGWu0yqixBhV92mj0Z8vVNUMySbqsWKqYpJ0hJq7nM8B3SLjAUslezKRDymdpYwrnN/bsiWU+UY4MVZBqSmE+dKOn12JBhYWtlNlDnlVkBBHU5WMWEEuKjml7u3QWC1Pn5rDRXVnmBnpUrpZT/XM5+jBOm5avZ3ZoXOE9Rwnxip48qUVBKaOcFvL26pi8t0zy8k/G6fuFsEEG/XYnd//6aXoObjtPa8Q86UZtAt4sXcWo39fy0s35/mTJS8oLM6PN6+iZpOD+WmbRdE2gXvLRxj4ZgPpSp30B04ozaHnz86k6V/gp59YyEdmblIVXN+2Qsw8DM4p8OxZAhwZqaRsr8O5+mLStQGk/tdoIkh8yGUkH6QvH6XSl+BYpgrX52JHHdWqtFyDqJmhY6pOS+nApIM/3jxIX7CIgJ5n2A4T1CwKfRl6NmapqxjC1Gz6PFbshlmHefuP6lhY1OUxIPMqABfsWlGFNHBZEG1n4MEIiwsGFG7LcXXeM3snnZ8uYmakS/nVFRgZ3n3160rKQLbNG4MD3PL+V9Q50Z+PUuwb5erKg6Q/cNzDbfmUptmHFr2h9kwpVhn3pfjcpT9n2A7TmourP5dWF4l8iJqApRhbV5YfgvLxz8iK13WN+731GCJhhyg3R4joWS6vPIKDRiIfEkK2ep654XMsiAiB0KQT5HC6mhmhLqaHu8l4zN2wnuNMtgwdlwXRNhxX50S2koQdUgmqFHuU91fii3h7Tl7tUaZmk8wLzF2lL8HJbAU6LmeyZTQGhTq4DIIEVsunrKZSdpAT2UrSjl9VmzO2CDlkEiXPYoGnDCkGYcb+HcYI/T4OGw2/dwg6iANZx6XOHGRPuoEKc0SxwrIegh/G0f8ySs04JmlQ7CFZAZk48YKaRb8dVQeb5YYo0C0qzGEOjdWqSovjydvrmkuxKRR+u3JFjOSDTAn1qWzSQmN3oo503s+NlbtVe6ErF+PxAwvZMOswl8SOkHFNBvIFPNU+l9E3y5h6xSkKCrPEfCJQ+vLzVxLq0nn3na+ALoIyydZxXJ1Oq5gKjz33k9aFlP0vP9+4dy2fX/UUSTsk3NK3NzL1qTH2/FUdG8v3MzvUwTe6L6F0t066ysBa6sPWRQDi81oyrjvZ0qSkdpie5XFmhTyDSVenJjCEdv0AIxk/tf5BT2vFYX38KE98LsS6ohMK5GhqNncv2cLh6VWsKT4+QXU3z103vSRYS8aoAjPPKzhHy629CickgXy3Vu0gWXFA3f/JbCUB3eJT814gqFm0WyUq2LRcH+tLjnoHusiUE/kwtf4BKsyEOtxlICOrHQKQrytWhGRYTPQmk+0JCTyVc63Ml8TU8jwzNJ/p4R6lxaNrrqoS6ZojxCCdAIW+jHKllwJ3lb4ExzNVHuMrq4DiBi5dVhE6rrI6GcwXTAJ7GrhYaFge8FO0ZS2v2hdRuDkpHSAl9cvNpGA7evfRkS2mKxNjVkEXhrfGUnaQpzvmEg+Nsqb0hFor+0drefHQLC6ZeZxFUcFIGrQjPHTwIqzhIB++aJMIsjSdN4ZaOPLkdIKX9POuhj2qZfuNN9dRvNdg4V0HmF3QCcCe0Xr2fG0BT01dwfuvfVkdhl/Zs4YpD8NjHy/ntuadVPgSHBqr5fD3ZhIcckn8aSf1AWFLsnuwjuqv+nnl+rm0rBcq4f35GMd311P/is2ReZXjzzIXoegYDIQKcFpEpSGRDzOa8VOQdhm1/EprKeOY5GIOen4cSJyyg9SEE7y+soHmmi6k5Uuxb5TKGb20R0tY7k8pwoflGuRuG6Q4IPAmg7aoyK6rO8Gbn2riurojqtod0PIsvWk/uubioNGVK8LQHFaUnKHzU0O8wz+izJ8B3rNwB+Yim6ZAL4N2AVtGpjGvoJ1bN75OQMt7B7RofS8vbmXJzW1ChNUOe0Bdl1sbdmHVi3uTQOda/yDXzDpAuZkUNjXeHtES6qWsNqmYT/KgtL0kUoDBhXGujsucmBB57bEK1X4f1nO0hEXrWCYulivEHoV9hAAdx4wxHER1cXeqgaxjUupPkckJKwnJbAIYsCKUmqMk8iFM3cZyDBr8QvqjwBBu9l25IrKOADDLw9x29UlYIR2Xfm+tiWA6onBLhuuoqtagFVHMUnntuiaYm9WmsFYZsAsYtsNMDXTTm4liINqq8n4Fu9MvWIgT5GGkRY2UZ5Gfl9pTUkerN1dI2MhNeq7HMlUMWBEKfcKbcCgfmaTZFTPGSCPO15Sr05WLEfONKQFeHZehfBhdcxWu1XbF9SXyIVG5NvLi2pxxl4jfxjjvAyHwgIKOqXQL4qaQXx/MCYxDzJee1JJKemaN0uYg7fgxNIcDyRqKzDGmhnpV9ajHivH4mfnMiPdyWekRVXk4PFbNM68vZuais2ws36/8Xb5/cin6a0XMv/UgiwrbFHbmm7+4gqJjUPjxLUrQ7MxYGd1fbiYxxYD37VZMqJ+2L2TaV3I894F5LFjb5gUrJn3dMaa8lSW5PkCBRy/XNQfdEloeEqsjDfiASdm2jsZFVWd4+oMLWD79lIfF0YR435pDtC4o5Zr4EXotAdS9qOgUUz4isgKZGVoYXBU/wNmPdon2o9fXDus5PtSyhewUE+nX1BLsZtiOcEn1CWaHpTGjrd7FLXVvIyitYe85pan39xMrGpvE9HEQ9g1Cuyav2oeG66pqncQsmZpNxvVPAFPnlRdQzvUpmnDKDhL0WcSMUdVykt8RNTIk7IhqPTmuTtoNeMG22EAnVtykDL40LZX3IquNQfLjSrOuwf6xOmLGGBcVnsBB52SmghLfKK3pUioDIosTAU0xp8fiFJljqtojNXj+svsa6iNDrC06qoQ3tw418/bpBq6dvV8oxLo+EvkwP9i1nEA0y+0zdqrntbl/Ku3PNjL1mhMsKWoTwbvt54mnL8I/rLHxji1qo3x7qIHBf2igfQPcc9FmTI8B9+TLK2h8aozBvwxzXeVeeq1Czo6VYvxLnLP1lQze00lQt8hqJq+enM6Mf0qz5U+bmTWvExuN9kwJgbcLKD9jc3RBJXMLRIugNx2l8KxNT0IcomFyJOwguOD6xGEpM80CI8vwNLCqcmrTHsxHmF3fxeFrGrm44iSOqytdIt/GfpI5k4B3oGcck+Wlrbz4x0GuKm8j45gKv7Zu9QESy4OsKPIsChyD5nAfRfdtVzRvqUZ9+7SdDDwQodyfpMJMcDJTgeUa3HPFK4ppBIIK3hLupemaVzH18TZ11jG5uvoQRs14+122WW9t2qX2HemBWOkf4ebGPUpEVB7u0yI9XpVYAJwlAHlepJ3BfAFZ14eJaJGbZpLeXCH9+UJF4RfK7in68wUEtDy2t4fI1ndMzyuhRzG3LVVpFCKpxRgBVxhe2wFR8XRAR5ISRAAh35WOS8EE02kZrJt6nhK5/tDQcRUDU+7jUhPN1IXeV1euiJgvLTBkjrCPkIzPKaE+haGS619Wa4rNtPgdmsAopQkw6gS4qXgHpmaze6yR0bzYG4asMJWeM7wM5iThw9TzmIhEdCgvREylhk7aFYFCWM8RDYoWnc44JqrKGFYJUl++kLZsKcl8kKF8hPmF5zA1m65cjDHbT5HsBug2Vb4ErZlShq0wiwrPqrkWNTIcSNVguxrTIr1eB0QEL7uH6qiLDNMQEmDxEt8ox9KVvNHdzMWVp1RiC3BytIzjA2VsqDtC0GNT9+YK2d7XyGjO5Nr6gyrZT+UDPH1iDjOqellRfEbJ0BwdreS1PTOZPr2DdWXH1Xf/Nsd5HwgV6Bl2jcxk2+kmrpx+mCmhPkEjtgp5u7uOTcfncdW6t5ke7lbtqx+/uJpwl8Z1d22myhwmrOfoyBZz+OHZ5MMagfeJnvmoE2Bfooayfw5zYM10lr5LGHyWGCl+0LWE5p+NcThexWVlR1TLbCwdoKrNZiQXUll4wg6RK7VJNvgUziZmjFEbGOL5jXmqKvsmteiuqTnIY3+2iMurRVVDHoB3L93C0ZmVLCpsUxtlTM/y4Y0vEDPSSkFUiiwK3Ma4Uamp2YLxdVGvwpYIs0WTpYVnWV10UmE8pDpuuV+A8uRGPJiPENQsKsyEam0YE0CaEzPOjGN6G4UwwJQb7sTytanZlJgpSn0pnhpcqAS/ZBVuaqCbLalp415x+ZgSrJtoxwCowMdxNU94ziGZL8DwAqR0flzbCURrJWGFkV5PQmk4qK570IrQEBxQwF8bjdf7Z+A38qwqPqUqI8fSlTx1bB7vmHqU2ZEOz4QwzHePL2Oss4D3rnlDYb5aM3Ge/dlK0lOz3L34TcJ6jlr/IN88cTGR78XwfbCHWz1QcdoO8dYPFuIfcbnqo+Nib7uH6tD+rIQ33lnL8neeVjiFPVunMf2HCY78fSWNlf3g6qTsALXPGIyVFKDPcFXScLqvlMpDFp3rYkRLM6p9DKA5UO4focgQzuS7tToSjT7M4pQC+0eNDOXzejijl3NHSavKzmdGutj2vkbiBaNKyDGs57hp5m5e/dI0bqk+qJiFdcFB1t26E11zKTeTonKr2dxYs4eezxZS4hsV4HnXR9xM8uCaFzHXjm/Scj4vvfExzubi4xg+x8dVZQd418a3FVtQHrAPtryqmFNZxwQdrizYR9TIKK2TpB1kTqidmC9NW7ZUteIs3aDYN6oYqDBuJdDo76fDV0zKDjJsC1Vv2f6Lk1SBs8QEFhmjnMxUEjQyVJnD6hplNVpk2aJlNiXQw4lsJZZrUGEm1LqV12WaeVXpNr3qghQFtHQh2mq7OrX+ASzXJwDsxhhJOzQOzPdsdizXR4O/T4HO/Vre01CzWBg+q55z3JeizDfCiBNS72JhuJXDmRriPuFQ77i6UqtP2kGF9Yp6rUeJu0s7AXqsQirMEZVUxPWkel7KsNSrsvVYMUo8YHaBkSGqj9FlFTNshWkJ9pC0Q0q5+Ei6ipZQL3OC7Tw1tIhl0VNkXD8v9s5iblEnMV+auG+EjOtn50gTL5ybybsa9jA32E6ZniXhmHy/bTn9IxHWNp6k0Jeh2j/EuVwJ3967iln1XWws369als/1z2H3nmY2rNzHsuhpr/08ymfevh6nL8gdl7xBlW9YVQIf/sXl5Kpz/OlyYXjeYxWxaWAaZ3/QQvaKEf5oxuuYmo1fy/OVneso2hlg/d1vMS3YRcYV7bjnnliBbwxmvL+LEmNUVT+PfHU2A/M0Fl3d5tmA5Plh2xKC/1TMpjvL+dzip3E8L8cn9i2i6Ycu2z/ZyAcat6j9e+/LMyjfk2f4s2HmhdsZtsN0uzFSP6/EyIHxUYcSY5SonuG11HQqfhLi4CUNXLTuFBU+Me93d9cy9XtZjn+wklurdzLqBBjz5f9vjvf/snHeB0ID+QK2nW6i5Z/zvPzJaXxwVp86YJMniqjY6dK5IkZNYHjc/M8FV5MHtdhswkaOwXkuboFFzDemsv6p0T4ev7uWpsr2STYSV9YdYe9f1XJb0Tmk6aDlGtw7fzOt00sF0HfCIX3vatGrljRhmbHdv2ST2sANXAbzBZT4UtwzdatihoDIPEt8o1xWcphRJ6Bk6y2POQYohpeknMtSrNzco0YGx8tkZUYkK2nSxVxeY9IJKkyLBKACChtT4bE43hpppinUr3rGE0dPXlgTCA8ksWEK3EwOHU0ZAXa5RcTNJA3BQSzXoD0bY1HBWWxX4+10ExXmCK2ZUvpyBayKnVLXkrKDPHZmMRdXnyZuphTT77n+Oew6NIXPX/Ik/VZUZYE/2LYSLafzofWvENZzNPr7eXpgAQe/NpfBDWN8ZL54F8sjJ7nnjbto/KFG75+3cm3ZXrKOSW+ukK5vTcHVYN4nOoj7ktjo7B2qpeVvsjz34XnMXtuhgrb84ULqPGBnU6CXpBNizPYTO+2Qj/iJLRtTh0E4kCMf1Cg0c6I9gEVzoIeRmXn0tK5oxAYOy0ta+c6dtSycfVJYSHgswdVrDrJ7Wi23VxyhzJf0ytlpej8RpSooGItBzSJuJvnw7Dfo/6soFeaIomaXmCkeeNcvSeTDVPoStFsllBg615bvo+T+N+nLFyrQdVCzeH/DVmgQgOYBu4AYwuDz07Ofx9TyDHusM4B54XZmN3eMyyN4bcW1hcdIOkGFd8u4QrSxxJfyAJdpdQBGPCdwwcTygm3XxHAdqsyhccCzBHx6JXrbFpgmANsL9KP6mKoubBmdTsxIU+vPeD5bWdqtUoKaxbxwO6PeAW5owsxVtFUFvsQ0BC5sxGtFxLzgUa6zUSdAyglSYSbUPIzoWfryhTQE+sk4Jm25UhaHzzBshxlyIgrQLddta67Mk3DIKTxh2g0oPJms2GQ9tmUiH1R7XYkvxbAd4cRYBcW+tCI36Aja+OF0NT7doT4woPBfzw/Poz8b4bLSI+g4im3XaQnwdaGRYUdqCmW+EbYnprDp+DRum7eTCnPY2ztCfP3oGjIZk/vnv6b0dE6OlfPyKwtpWX6WqysOCDC6VcR3d6yi9C0fsXd3sKbsJOXmCJVmghIjhR+bASfCQL6AtBPgtaHptH59GsPXjvLxuWJPTdgRvrH1Eqo2GTif0Fhc0KpwZtu+s4gtAfjQB55meribiJ7j2b55pP+uhp9cW8PHV7+I5fowcNi0ZS7Vrzvs+5NaGvz9JH0jtFulZH9SQSio4bxXJ26mSNoh3h5qoP7HBoc21nFtxT5vb8yzt72W+uccjs0q55LYEZJ2iLNWHPNYmGirS/fKQpoCfRRpabpyMQraIGn4ReJjBYSavqtjZFDz1tSELIo/bGEViha6obnU+AZ5YXguuRKHnKN51kZ5hQ8cmKNB7ZgCiSfdIPNKO3l1XTl15X1kXHG2FBlp5je3c3BDE1fF2yft4cXLemivL+KaUB85TzKhMpBAu3qAvKMr0LyNzsyCbo7cWcGlVW1eBT9MWM9ydcMhnvmT2VxVc1Sw+VyDoDb2f3nC/9cMzf33OPG/p2NkZIRYLMZnt11Ov1nOi8dnsnHGAZqDfaJqoQsjvf5sAXOjHSpYkH4pliuo8/1WFENzVOlQltwl3XtS6dOrikjtCNk2kUGNtAqQPXsJhpYVEvkzmZ1KDIlsm8iSpBQ8m4g/mfj7Jd1d0l1lZij71ZZrKPpimS+JjsPu0UZmhTs9x2tNfZdkaRxI11I+wRBTUZctwR6KmykFhE3aQV7vb2FaYS9zIh2eD1SWg6O1vNbewgemv8lQPkJToI/BfAHfOraSdG+Euy96Xd1jZ7aILY8tYnTBGF9a/oRavA+3rsZ5pJzCD7VzV81Whu0wPVaMH//0EkqO2Cz5zC5mhLoI61leHJxD92en0Hq1nzve8TpNgV78ms2nN7+LaQ9nyP9VgqsrD6o21SMPXYWZcrnmgc1eRpnn6FgVrz+0lOHZDh9Z/wIlRoqInuNvTlxBamsZl12/k8bgALX+Ac5ky3n02HJcV+P9M7dSYgihyL58lEePr+CSupMsiZ7x2m8CPLw/WcPi2FmxscrAzyoioOXV4QiCUdVlFVNhJghqFn35QnTNodRIkXFNcq5vXJrAy/BlMDBoF1BiCDsSHUdlioBiARYZo/TlC9UclNIOMO7OLqsMppan3/v9ct1YrkGZLykOdi+InjjvZMVM3Mu4aJ2scsh5NlH08uLwcXaONXF0rIqpoZ5JatlyXcj5X+ZLqsBI/j552MvgIOOaigo+UcBPYsek8KasHFquT+nmyHkpf7f8t0hAUsqDDOBMtozRfICWcI/6bL8V5UiqknnRDoWPMDWb3cl6QoaF7WoUmWPMDHXSY8V45MgKNjQfoTHYz8l0BfMK2nl1cAbb97dw5ZL9zIu0q8rPP2x7BzgaD6wSB3/MSCsVfDFvilQ79m/evIrCgyZr79jJrLDAUR1OV7P1G0sYaYG7r35ZYb++fnwNJV+PkLgvyUenvULSERIE3/7eBqJtDmv+5K1JXnAZr+okE6WonuFvd2xgyqMuo3+S4PaGHeodfueRDfiHXW752IvquT3ZvYCRb9bRf32aD8/ZolTtH9p5McVvm3zioz9hbegsnXaAw9kacXhL2r83X7cmWtjx+DwKL+3mtvqd6v0/enIF6YPF3HS1gB5I0sI/77wU3W/zyQUvIc14dyUbeXn/LC6afYKVRafUXvxS3yzaEkW8q3EvMV+aucF2WnNx/u7oO6iKJllaepYKc0Qkho6PTX3TWB0/RYWZUG31tB3gRLqc+dF2Vf0P6BbtmRIGrQirYyfUmrfROT1Wpny/5NrfPDKdgJ6nJjCkgl8QrcDBfERdg0wyZItOrruJ7dakHVR6YBPJHHJ+S6kVhTvydJ/CelZgzbzKpFzrSSdIhS+h4AfyuuQeJmyOYkpSRlbCJ547pmaTTjp8atlmEokEhYXjGLD/rnHeV4QMzaE2MMRdc7dN2sTSjp/GYD81gSFVIUo7fjJ2UJWtZUtB4l/Cek4Zmuq4oItNx3J91Pn7OJapUjYAQu/Gz5AVocD7+w4utjMe1BheICX/X7SbLLWpS6l5YFKwNBHUKrJkMemH8hG6cjERCEwIyg6nq+nPFrAw1sacUDutuTKOjlWxvbeBQn+WjZUHqAkM4bgabdkSntq6mBlz2rm8/DBpR/Tx3+yaQu6VOPNvPsiq2CkVaD35s9XoebjpttdUP3vHUCPWFyt5bkM90zd2q0Xz7KE5tHwzz88+v4jlZa0M+8K0ZkoJvFRIeWuexPIQF0ePiU0Dl3CPw2h/gHIjybBm023FCJkW/XGdgO3jdLacWv8ADYF+8rNH6SwPKoC4oQk39D3317Cu9hi1/kEOpOtoDvZy1/I32dLczOXlR8UhZocoMVJcc9cbZB0ftf5B0o4IImeEuqi5X3g4lRgpkk6IhB3h3ubN6M0yUAjRly8k7kvyidkvqwxIbEABonqGT89+nsF8wbidhWsSN5NcVHRK9f2V95c57L1nAfA+MVZBY7CfuC/JsB32FJZF8Nudj5HIh1WVydRsLNvnBSvjZr/9+UKllC0BvCW+UYbtsLL/MLW8wl5JYUV5uMk2X38+Ssxz05ZyD3K+d1pFSngvoAltGqkKHNQsMt6hJRMBmUjI607YIeK+pMJRvTo6kyErQrHXapIbq0w+pDS/oTnYrsbJdDknEmWsLj+l2lMSnG27GjfU7WUwX4CNxpAV4UfbVzB3ZhuXlB5XshGPnFjB2MkY71y/nZrAsArW0h6WxtHGfd0eObGCyOOFRO7q5LqqfWRcURV84duryEeg6NY3VOX1mXOzif1tAT/4SBV3T99Ga6aUmsAw25+ZS+lBm6Y/OcLKwlP0eXISVd8O8tKiZdx12wvMiZwj7fjZcaqRlh9abK+tZ3FLK4NWASk7QPSIHzPpklwulIIlpi7hsRljhvD90rUgmulghyBkWCrQCxkWI81g12TUvRmaQ0PxEEfWF7GyrEtVBwBCF/czkAypgE4SUaQMxXhw7OPaufvY95ka1sXPACLw7stHaXnnCYr9gnEr596l5Uc5+YlByvwpVcEydItPrnyByEVZKn3DbM9Uc3Csls5sjKQVpMg/Rok5SoU5QtrxM6Ogi+Y7+pTekRx3NO+AZlQbO+WxGT+29GWVnMoEYF7BORZc1Kb0lSTOcU3pCcJlWQbzBfRbUZ7OLCSg53n/1G2KWAHCXSDphLiuaq/CJwrQs8AXziro9LCPIfWs6oKDHmwjrJJtx9WpCQyr9XU8U6navUlH4INSWlBhnkp8KZYXnuTHg8sZzQeYGz2nvl+ucQk8D3sYUhBq9I6jk3KETY7EWsn1NvHZDOUjAgTuEwlDgdcylirVYo8oVPNPBjYS85Wwwwx63yH9OgF1XegiuTDdFL/Ncd4HQmOOn5hXjZES5GEjSxTPd0y2drwNDx2FP6nzD6hNW1oUxIwx0raY2CZSFM/HqOdGLyNqOWEAVcaXTvSn0mXMj4oSozxQDiRrOTUS5+rqA3RaRYBQBf3OoRWUFqW4rnY/YQ/IeihVw+ZX5lE0v587GncozMx3jy+j6MdRDn2og2sr96sg6cVnl1Cx06bkc2lPJMsh7xjo347TX6KTeeAIUT1Dwg5zfKSc5h9nOWLUcmX5IS/r1hhKRKg5kWc4J2xKTNemN1eIVeji+F118Bg4TC/s4WfXNlE/u5MZgU4eH1zKzHAX75h1mM0fa+GGipNe4KUzJ9JB4IN52seKmR3uoNMqptJMsCpygpLPCMn2vZl6kTG4OmvLTpD+wFmKTYEB6M8XEtAtHpj3msI/ZB1T+Ss9OGsTCTtE1Bgj5hsjYQtF5Furd4r2nvd+B+0CWoI9jDoBoTrtZSjy3Qc1i558zMuGcqrlIBkhWcek2DeqNkQbjZQTVBW/cYyGmC8yyJYBhtz80h79HSCZD2I5PuoDgx6d32PfeLIMMhCGcYFKW5cGpD4VLEl2hq45dGWLqPcPkNJEZVD3jHuPecKTuifembGDdOcKKTVHlbKvqdl0ZIvYlalnXmGHcDzXbPrzBTx3bhaNsUHWlhxXJoy7R+p580gL9yx9g34nqub/t3auhqzOx9e+QFTPMD3Qxd+dvoLk01U4lw3xPu9gSdhhfrR9BWXbDBbet5c5npGszGZNTWgp9VtRHHRe3jOb6d8aY9NfTuX9DVtJ2GGSdpD89wVfOfXHIrvVgVe7pjH9W2Mc+KNa3hE/4gkPGuQOx6jZZpNaG1BWOjLrlgeDcH83xAFiiDlSbQ7RnY8JMcupNhTmqQ8M0JErptwcYX68k03XzGVRRRthT2slqFuUX9xJ7/wCro12ePTyPGuKj/Ot+8tYWNJLzBjDr+WxbB83ztnDiS+Wc3npSSKeAGO5f4SNt28hZQco8Y2qA1Q3HHX4BXRLYbc+tfw5EktCql1muQZV/mEeuPZZosYYOWWRkWdj+X6uuuYAaSegdI/Ceo67pmxT1QNZLcy4vknzRCZ2c8PnmBXuFMKxXqvOcg0ujx8mqAtjYfl8w3qOmZEuZYgrGUW1vgHm+ruoNOB0fox2q4RzmWIivhwRI6swiLIa6Hh7upQzMXAxPQ2kXaON1AcGVUU8rOfoyhWJaotuCc0qzVZyHUEtr56pTGyUsKyHsYwZo96aF/u9rIbIroGuOeCg9oti3yhD+YgCnk+Ub5H7DYCtiYqnrIxJTJnEi5Z7QqAGDpbmEwzHsSbK/UmKPZNUGajKhKHAyChtJss1vMB5/IyTzgHyXJKVUDlXBP5SVHYOpWso9plkXZ/6XhkADXrfIa04dMNRlSlABU0yoZFdmvEzdTyI/W2M8z4QKvWNksgL2wOpkSI30bTjZ8gKU+jLUOUfxnE1EnaY02NxhnL1rCo+Rb2/H8v10Z+P8tjpxZg+m1sbdmG4ohy/IzmF57cuIFyX5CMzN6mJt2uonq4fNpJcP8oDczdT6x/Ecn08sn8l9d/30fqJEt5VsxvdK+9ve2YeVVuz7PvLOtYVH8VyDQ6nq4k/GSJZH4E7UcyjoVyI0oMu3eUx9CYHXGHWGQ1lyRYWUubLqSzH1GwiCwc4V1DCMiPHqJedTAn1sfWOYQqDWQ/nI4K/y8sP8/xfaNwdP6UWs2nY3DNvC+3TSmgJ9whWhyuEKD949YsqOEjYIeEAHRjg45c/Q8oOcjhTS0uoF1PLMzPSxeK5Zyc4DVvUmIP4tTzFPtGy6MrFlKK1PMAdVyPrZZvl/iQxnwhGo0ZGVZvSroHJeEBhTKhWGLicyZZTbo6QdUz681FltivNT7OOyagWGJf818e1n9Bs5doe9jJKudEHdItV4RN8s2cdetiFCdULuRFMVAqWKsHS30f61Ekla0N3OZauJGTkmB3uUKyWpBPkld4ZrCw9o0QuATYNTKN1uIQbGvcR9yUJ61neTjXx9NsLqW7s59a6XYqi/uOOJfS+WsPGm7eqzbbfivLj51fjT2jc9R4RmFiuj2d75mB/tYKBO0e5Z8ab6rB64fklVL2Z58znsyyPnSbt+Dk3VkzBPxZycHkZS9/dqlqkW483M/0bWZ6pmc11taJiouNSuN9PIOEyeFGEhoBYX4buEO6x6UqECGrWuChjxMKK+lS1TLJS4ua4p5TA5FgsnXOKt9/bwvVlh0Tr2/IzLdjFa7f3knd01d4u8aW4rPoYW/53M3dV7FLMwLCe5Yor3mZ4fYjF0bNq/VjuuI+e5RrKvfy25rexPyFER9utEgxcavxDfGjdq9780NRhNbugg3lXCq0nwdIMMZgv4OrqA5TUjaqqgYM4HO5p3uKZ/PoZckS7sDnYS3NQKBr3TWhNNgd7le+exBDiuZgn8mGvTSkwekKAdbxKIPGHNppq2doI/bQSYxQLsVaTXnD7m9qaMuiWnxHtcDFnpC+XZODK75BVAtlKlcG9PLTF2hFK1YbmYnvrwHINElaQvKMTMsTha+mG0jWSQ96fSFqFXlF9YJCYMf68JZNMKsbL9Sl1b0S1xVRrOZEPK0NR+dwG7QI6ssXUBwZVuxaE8nvCDSuJFhmstWVLkYQCUT0W1fVz2WIaghKLJSouHbkYXZkYUyO9KtGe2DKr9Q/SY8XUWbZ3oFZURL2kWdccjqaq2NtXzcb6Q5QYo0rj65meOaQtPxuqDnvacj4GcxGebJ1HLJThptpd6jn2WhEe27eUOU0dXFJ6nLQToMqfYG+yljf2T+fiecdYWnhW7MOazbb+JloPVrN86TFWFp0WVUNX57tvr0QzXG6dv1NU7z2c6s9eW4FekeH22Tso8Y2S1H67iJ3fbtj1PzAyro+dQw385OdreXOwmbQdUMyYb+9ZxeZvLGdfosY79H1kHJM3frGQc1+ZyqFUDaeyFWojCP64CP1HpcqxPOOYpPJ+Gp6zcXfGVJQvN8HQoIOdN1T/NO34qSkbZmC2SXFAKkML3FBoWT+nb9WZG+1QWX9jcID4va3Mve7IpM1rdclJ5jx4gHuWvUGdOUBHtoiEHeaepi3c9ODLvKPssAoCHFfn5sY9PHDF88owT25KH2zZIlQ9vfaEzH43VBxiXqhNKVTLza0lLHAaUtLdRgDwpAietOuQYyJGQ2J8JMA75bFEhBt7lvUFh5kVPEdAzzNkhenMFtGdLWQkLza+ykCCUnOUcnOElkAPLcGeceCpO+6YLisnMuiVQwZqMG6lIKs4E3FZwCTsS8IO8fZIIz1Woar8mJrN/lQt3zy2mq5cEZ35YupDg4SNLP96fDX/tGc9luOj1j+AgcueVD0P//xyvnV4laq4WK6Pb+9dxeZHlrFvpI62bKlSBX/rG4t47icrSdohz3dN44enlqJ9rJBH965QgUJYz3LsuakUf7mAg8lqr+0VIJkP0vhzh8FtlZMwLh0DMSp2Ztne10jcTCotLN0GPY/XpxcZaF3BEP3zfFTGkl61UBj2lizupe1KnfrQoBLQnBbpoffeDDOuODEJS3Tbgh2k/nKUy6uOqspX2Miy7s4drP3IW6o1dzJbwTur93Hln2/mY0teIeOaDNoFlBopPrzwdW784Ku0hHs9DyKTmG9skop7UBfaT5eVHuGzl/6CRQVnlRp1wo7w7vqdvL9pqwpqkp7D+I01eyjxjSq9p4xrMj3czfLYGe+AHycXZLzgXc4V+W8hSijmTdIOkrBDVJgJArpFW7ZUfU4Oia+SSYZkbU7EAUocX8ZjVkmdMxux9uSfy/a9xFUVecBxG5FhO65O1LPBkNWsiaQGiSGT+4pkigY9gL4MBqTOVbFv1FMH11VVXOJfpNWNfDYFRoZqc4geK0a/FfUOdsEgMnA4ky1jMF+gsJTyunossebl3AQYtsM8m5rNMUsEagYu8cAoSSvIsUSF0teKGhkcV+f5ntkcSNaoagOIdss3jq7mVKaMhB1RlaydQw38y75LOJUpV79vMB/hX/eu5vsnl06qhmwamM4jz63n8EilqnoFNYt/2XcJTz2zgnO5YgxPfT+RD/OjX6zlh2+sUjAGA5dXB2fw/L+s5snj81TiEtUzfPfoMt7+l4VsH2pUczthh3j6lys49MNZnMsI9fOgbtGRLWbTw8t59Pl1DOYLKPaN0peL8szROej/HOeJE/NFRUy3SNsBNr8xl4Jviv00aoyRcUUy2PNEA5kfVXIuW6ySl9axUsLfj9H7erUnvOrHdnW2DzTS8CONA4fqlWp7WM+y5dhUmh53OdBbrd5N2g7QtquG6s0uPt1W++5gPkLRHj+RQwFMXTy/AiPDuUwxJQc0tLbxVqGSE/ktjfO+IpR1fJzqi1O7aYxDLVVcUnpcLDx8uBkDxyd8VWQAEzayZGeM0VsSYH1AKCjb6KIHfXMCQ3c8EKsPy/UxN9rByKdDtARTkw7eayv20fbZcxSbIvuQonS31L1N6q6gOpjlpnFz4x4KmmWWMQ7KXh8/qg4yHU1sWGgsjrZ6/WQfxWbaE+fKetmZqJBYjg/TyKJ72YWkk4+D5nzonuOyDGASnubMsWyVChKkwzGMt/KG8pFxEB3j7SPZFpyIx5LAbulAbGr2JCVtx9XJIYwrw0aWlB0gYmTpysQoCo0pxoqs4MiDR16bgctrA9M42lXO3bO3iVaAMUpbLs4jL19CuGmEB2a8humKjf+xc0sZeaKK8pvbuK5yr2KvSTyHPKAcoG2shFN/PZO35vm45+bn1Tt+9fg0pn7Z4qk/nUvznF6q/MP0W1Hc14upOmvTPaOQCjNBWM8yZpuU73boCkVIzQwqcLZuuGi2S31okLiZUj5uQ7NdnPA4ONfU8iyrOstLd89j1dRjCINXUcFYeM1h9i+v4tJoBwk7gqnlWVLYytBnwswMJ9Thn3YC3DVrO71/E2VqqEdl7HEzyQfe+aIovXtYNgOXpYVnWf7uMypAAKj2DbGm8hQVdXvG/axswWS5f8Zr3vwZxziE9Rzvrt9JRM8qlk6BkWFGqMsLPAOTcBzSi0rOwe58TDmby0qCrDpIVW61bid8pi8f9YD+Y0o13dRsSrz5KiqNPjWHJgqqOpqu9KEs11DPKWpkyLg+1e6e2KIDUXWUQcewHSaRD1NsjlJhDnPWUxw2PAC2BKgGDQ/P492/NPg0QVneCHuP8KRERf5OU7PJIgQ+u+0YZnhcFDNsZGnLlmDgKPd3gLZsKbuH6lgTPzmpsvjGQAtjeZMNlYcA0f7rsor4xoGLWVB3jvUlR5Fu6s/3zObYiWruWvGmWoMZO8hDW9eihfJ8YulLWK7B2VycU+k4e56YQ+zSbt5Vt1sBvH+6bzHRPQEuun03syMdZF1R5dj00HKG5zjcf8lLGDgEdYtvtq4h/8MK9t17kPsrXhF4tHSM3l/WEe52OHl/mjnRTqLGGG8MT2P0K7XsnG+w/GZhchzQHB45upKaf/LxwoMzuXdWH9MDXewYbeb0y01UHczT9aeF1AeEbs5IPkjZ8wFGa0KY0yZgLXsqqXzLoXNuDLtEU0rL2tkQRSdgNB8gELRU1T0wqOH4dbVniOdk4hjg94+zGrOOScCfJ1uk4TfGg+awniNbmcfx+1gcbfXmjlCYHp7lEKoWwpr9VgFFvjSz67o4uKGBZTUdXlVbAKxbFrfRObWQOZFOTmYqCRtZdFwya5OMudAU6iPiYQdrgsPsfs8IM0r60TWhw9aWL2VJaRsv3x/kyso2AAVS3zhnP9s+0sTlNce9uSqsPdasPUDrYmEHI3GDMWOMme8+QtTMMC3YzZlsGUk7yLyCcwy9L0RDeFA9p4lB+m9jnPessc+9dRmpQDFn0yWUB1K0hHtUhaMrF/N65IlJkahsu0zMnuRGMtGRXZY1pZ9S2g4ok0bpDyazJPk9slxZ5ksymC8g4wgvHOnblfLsAiT2RAZKUoFVmsC2BHo4kqlGx1VqvhOvE0SGL4Uc5ZAmjIOeoJekzct7leXqsJFVG64US2tNl7K66AR1/gHeTE6jyp9gd7IeHZeBbIQNZQcxNZvjmUoeP7yQi5tPEjFyVAeGiZtJftk7jxOvTmHh5UdYWXSamDFKxvXzpa1XUXDEzztvf4Mq/7CySnjloRWMVsNHbvwlbdlSVe2J+cYUQFCCyB966nIaXshQ9denWF10kqCWY0eymb1/s4DeRToPXvdL1V75TutKzIdKcT/Uxwcat9CXjyrZAuGdJVgXEsz7jTfWUVid5IPThH6G4+q0ZUv4xbF5bJgqtKnkO96fqmUgG2F1yUlVGcm4JqfHyqgJDE+qDoCoIsTNpNpspe+PxA3IKoQMJg0c2rKlTAt102PFlDeVxDuAqLqVGKPKjqDAEBUdAbJ2VQtTBg625+idcU01/8RcGReFk6bEUqm6Px9VmfLE9yAZQyAO8yr/8CTWiGyTZBxzEqBZYglk29RyhU5NULMUm0cC95V/k9fmkt8pg4akh9+QbCKBIRpX8paAUBgPaGT7Mm2LymWJt37ldcgDX1Z45FrdMdTI4qI2grql1unu4TrOJoq5sWEfLcFujozVAPDo3hU0VA/wrprdar091z2HU3tqWXfxAZYWnlHB5cOb1oHu8oG1rynmZ1C3OJmpEJR/d9zv7B9f3UD8bZ0l9+9hcUErg3aE46OV7P+XeSRa4O4bXiSo5ak2h/jjbe+i8Qc62p/0cl3VPkwtT48V46mvrcXIwroHt9EcFNIeT3XNx/7Lck7d7OPja19Agvf//tWraHjaJvaZdi6JH6PSl+BIpppffm0NuUKN2+98yZMgyPBc/xy6vtLC8C1JPjxjC5KN9w/b3kHRHj8X3bWLJdEzKnj83otroTrDPfO2KDXirf1TaHujnoY1Z5kd62LM8WO7GlvapzCWCvDZZc9SZKQZtsN0WUU8sn8lU6t7uaZy/6RW0i9PzmFjy0GBWdIcOnPFHE5V0TMW5cqKQ2repx0/r/VPpyI0ogDspmaTtgMcHa1QAoRFRlr5xXVmi6gLDlJhJhQrsSsnTH+jXlVXBrE9ViFSwVnOe3mGRPUxxc6LGcLEO+34qTaHSdpBUUXzWMxBLUdPPubhlIT6vMSxmlpe7fVJJ8jS0Gk2pWaRyHt4ICOnMD0SwC50nZKKRSn3H5mgyfMo4/pUJU+2QdOOXyXGE5nT8nlO/H+xvkRr++hYlSIsTdxXMqk8X1j+ym+NNXbeBkKJRIKioiI++fJ6zIhJmZnkXLaEkJ7zBPTGe+NZxyec3V2NiJFlzPGr/47qYxwZq1EVjICeJ+v4hHqtY2Dq9qS/X+RLM2KHGLUDFBoZ6swB2q1SunOF1AWGJgVR4311oT1S5EvTZ0XVdwHeRiyqJAE9T7kvwa7kFPy6RW1wiIBmkfey2/ZsMadSZSwuOoup216/3ceRVBX7uqq5eepuGgP9jDoBTqQr+OXhebh5jfcv2YLptWzkZE3ZAYp9ac9CxMePjy2m6lGT0fuS3FovescZ18fPHlpPYMhl1cd20hDoF95MqWpaPzOVjkvC3HztZgJ6nkJjjK8dWUPtP2m0Pwh/N/+nDNoFDNkRvrx5AyX7dGbfdYia0DA+zWYkH+KXm5diF1u8f7G4vozjI+fda6EnHiiencORVCWnRuJcX7OPtGNS5IFD943UUexPU+ZPikXu4ZvaMqWU+YW7sl+3GLUD2K7OyshJDmbqOJiqZmaBEG/0aXmCusj0XO9AjBlpcq6PUS9glVmP/L4xzyTR0BwKjTGyrklIz5FzzEnzVNMcXFcn7ZgUesy/oJ4npGdJeVmXT8tzNhun0BijMdBPh1XMSD5EuZnEp+UZ86i5Ps1mzKuWFXjmoJK1ZeCQ90DcadtP1Miq32mjq+uSz8L0qhMBrw03kC+kMxujIThI2tPscV2dpC3K3ALHZRIycuoZ5BwTv26Rn1Bls1ydiJH11scYKS9oMjWbzqygeZd6QHiflufEWCWnUnFWl54kpOdwPZDnz9vnUxjIcFH8FEE9T8bx0Zsr5Lnd87hy0X4WFrRyYLSOEnOU7x5Ygd7v57Z1bxDzKjvApHcmk4iHDqym9NkgZR84y8byfR5w1CFiZKgwEiSckNoPfnluLtG/i3DqNpP3L3uDSnOY9lwpTz2ylnCPzbyPHWBF4Ulas3H2jdQy8pc1nFsf5N5rnmXEDhHWLb761nqaf2ih/1k/V5QfAaDXivLit1di+zVueu+rhD3QdqPZx96xBsBTXPaCuX/dt5rQkSDvuGEH9cEBXFcnYQf54aaL0avSfGj2m/i8g/GXffPZf7KOa+btoyIwQrkvwUC+kCfPzcN1NW5peBvTm0cpO8BLXTNYGm+jOpAg5OG2To+V0zEW4+ISYX8zYofx6xanx8rx63magn2MOX58HqD6TKaM+uAAedfA5yUCI/kQDhp1/gGSToj8hNadOeEzAd1Se/KY7afaP0S1b1jN8ZQT9OQjDPrtqFpXRUaaXium2kwBL6B2XR2flifreU4WG6Pi70+Y/66rq3Uprwmg2JdiKF9AxvFR6Bsj57UTQ3qOoJbjZKZSrcmsa6p7leeJrrmqdSj3jGJfSjBktSwJJ0TG9at1M2oH1Xoc8wxebVdXz6rAyJJxfAQnMIotV0fXXOYHz5J2ArRbcYp9KY6kq9X5Bah1Kp912jHV9QEKk1lgZMk6PjUH5Z4Ggm0mMVWa5jCcD1PgMc7kdUmyjfxsxpP5kJVV2SKTz9jAZcCKEMgm+ZtLX2N4eJhYLMZ/9zhvA6HTp0/T3Nz8P30ZF8aFcWFcGBfGhXFh/CdGe3s7tbW1/+2/57zFCJWUCLZNW1vbbyWi/F0ZIyMj1NXV0d7e/lspKf6ujAv3feG+/xDGhfv+w7nvP8R7hvH7Pnz4MNXV1b+V33neBkK6LkpvsVjsD2oSyVFYWHjhvv+AxoX7/sMaF+77D2f8Id4zQE1NjTrH/7vHeU+fvzAujAvjwrgwLowL48L4TeNCIHRhXBgXxoVxYVwYF8Yf7DhvA6FAIMDnP/95AoHA//Sl/FbHhfu+cN9/COPCfV+47/N9/CHeM/zP3Pd5yxq7MC6MC+PCuDAujAvjwvj3xnlbEbowLowL48K4MC6MC+PC+PfGhUDowrgwLowL48K4MC6MP9hxIRC6MC6MC+PCuDAujAvjD3ZcCIQujAvjwrgwLowL48L4gx0XAqEL48K4MC6MC+PCuDD+YMd5Gwh97Wtfo6mpiWAwyOLFi3njjTf+py/pPz2+8IUvoGnapH8qKyvVn7uuyxe+8AWqq6sJhUJccsklHDp0aNJ3ZLNZHnjgAeLxOJFIhGuvvZZz5879tm/l/3e8/vrrXHPNNVRXV6NpGk8++eSkP/+vus+hoSHuuOMOYrEYsViMO+64g+Hh4f/mu/vN49+777vuuutX3v+KFSsmfeb37b6/9KUvsXTpUqLRKOXl5Vx33XUcO3Zs0mfOx/f9f3Pf5+P7/vrXv868efOUSvLKlSt57rnn1J+fj+8a/v37Ph/f9b8dX/rSl9A0jY9+9KPqZ79z79s9D8djjz3mmqbpPvTQQ+7hw4fdBx980I1EIu7Zs2f/py/tPzU+//nPu7Nnz3a7urrUP729verP//qv/9qNRqPu448/7h44cMC95ZZb3KqqKndkZER95sMf/rBbU1PjvvTSS+7u3bvddevWufPnz3fz+fz/xC392vHss8+6n/3sZ93HH3/cBdyf//znk/78v+o+N2zY4M6ZM8fdunWru3XrVnfOnDnuxo0bf1u3+Svj37vv9773ve6GDRsmvf+BgYFJn/l9u+8rrrjCfeSRR9yDBw+6e/fuda+++mq3vr7eTaVS6jPn4/v+v7nv8/F9P/XUU+4zzzzjHjt2zD127Jj7mc98xjVN0z148KDruufnu3bdf/++z8d3PXHs2LHDbWxsdOfNm+c++OCD6ue/a+/7vAyEli1b5n74wx+e9LMZM2a4n/rUp/6Hruj/bXz+859358+f/2v/zHEct7Ky0v3rv/5r9bNMJuPGYjH3G9/4huu6rjs8POyapuk+9thj6jMdHR2uruvu888//9967f/Z8W8Dgv+q+zx8+LALuG+99Zb6zLZt21zAPXr06H/zXf374zcFQu985zt/4985H+67t7fXBdzNmze7rvuH877/7X277h/G+3Zd1y0uLnYffvjhP5h3LYe8b9c9v991Mpl0p06d6r700kvu2rVrVSD0u/i+z7vWWC6XY9euXVx++eWTfn755ZezdevW/6Gr+n8fJ06coLq6mqamJm699VZOnz4NwJkzZ+ju7p50v4FAgLVr16r73bVrF5ZlTfpMdXU1c+bM+b15Jv9V97lt2zZisRjLly9Xn1mxYgWxWOx3+lm89tprlJeXM23aNO655x56e3vVn50P951IJAAoKSkB/nDe97+9bznO5/dt2zaPPfYYo6OjrFy58g/mXf/b+5bjfH3X9913H1dffTWXXXbZpJ//Lr7v8859vr+/H9u2qaiomPTziooKuru7/4eu6v9tLF++nO9+97tMmzaNnp4evvjFL7Jq1SoOHTqk7unX3e/Zs2cB6O7uxu/3U1xc/Cuf+X15Jv9V99nd3U15efmvfH95efnv7LO48soruemmm2hoaODMmTP8+Z//OevXr2fXrl0EAoHf+/t2XZePf/zjrF69mjlz5gB/GO/71903nL/v+8CBA6xcuZJMJkNBQQE///nPmTVrljq0ztd3/ZvuG87fd/3YY4+xe/dudu7c+St/9ru4ts+7QEgOTdMm/b/rur/ys9+XceWVV6r/njt3LitXrqS5uZlHH31UAev+M/f7+/hM/ivu89d9/nf5Wdxyyy3qv+fMmcOSJUtoaGjgmWee4YYbbviNf+/35b7vv/9+9u/fz5YtW37lz87n9/2b7vt8fd/Tp09n7969DA8P8/jjj/Pe976XzZs3qz8/X9/1b7rvWbNmnZfvur29nQcffJAXX3yRYDD4Gz/3u/S+z7vWWDwexzCMX4kIe3t7fyUC/X0dkUiEuXPncuLECcUe+/+738rKSnK5HENDQ7/xM7/r47/qPisrK+np6fmV7+/r6/u9eRZVVVU0NDRw4sQJ4Pf7vh944AGeeuopNm3aRG1trfr5+f6+f9N9/7pxvrxvv99PS0sLS5Ys4Utf+hLz58/ny1/+8nn/rn/Tff+6cT686127dtHb28vixYvx+Xz4/r927p+ldTCMAvhzpamIhIJQaFWUuutgXergYEEcOrlJhoKb0EHopIurk4PgKH6DfgArtnWw1cEU45/Nig5ORUqhUgePk+Hmmluvl6LNm/ODLM1LycmB8lDyJhCQUqkkOzs7EggE7Gvqpb6VG4SCwaDE43HJ5/OOz/P5vMzOzv7QVXVXu92Wm5sbiUajEovFJBKJOPK+vLxIqVSy88bjcdE0zbHm8fFRLi8vPXNPupUzkUhIo9GQs7Mze83p6ak0Gg3P3It6vS4PDw8SjUZFxJu5AUgmk5FcLidHR0cSi8Uc51Xt+7PcblTo2w0Aabfbynb9N++53ajQdTKZFMuypFqt2sfMzIwYhiHValUmJiZ6r+8vPVrtEe/b5/f29nB9fY21tTUMDg7i7u7upy/tv2SzWRSLRdze3qJSqSCVSkHXdTvP1tYWQqEQcrkcLMvC8vKy61bE0dFRHB4e4vz8HPPz8z23fb7ZbMI0TZimCRHB9vY2TNO0X3vQrZyLi4uYmppCuVxGuVzG5OTkj2417ZS72Wwim83i5OQEtVoNhUIBiUQCIyMjns69urqKUCiEYrHo2DrcarXsNSr2/VluVfteX1/H8fExarUaLi4usLGxgb6+PhwcHABQs2ugc25Vu3bz+64xoPf6VnIQAoDd3V2Mj48jGAxienrasT3Va97fsaBpGoaHh7G0tISrqyv7/OvrKzY3NxGJRNDf34+5uTlYluX4jufnZ2QyGQwNDWFgYACpVAr39/ffHaWjQqEAEflwpNNpAN3LWa/XYRgGdF2HruswDANPT0/flPKjTrlbrRYWFhYQDoehaRrGxsaQTqc/ZPJabre8IoL9/X17jYp9f5Zb1b5XVlbs3+NwOIxkMmkPQYCaXQOdc6vatZs/B6Fe6/sXAHztPyQiIiIiNSj3jBARERHRv+IgRERERL7FQYiIiIh8i4MQERER+RYHISIiIvItDkJERETkWxyEiIiIyLc4CBEREZFvcRAiIiIi3+IgRERERL7FQYiIiIh86w0AjPhbVRAZNgAAAABJRU5ErkJggg==", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "from httomolibgpu.prep.alignment import distortion_correction_proj_discorpy\n", + "\n", + "# Load the projection data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(\n", + " path_lib, \"..\", \"tests/test_data/\", \"distortion-correction/dot_pattern_03.tif\"\n", + " )\n", + ")\n", + "im_host = plt.imread(in_file)\n", + "im = cp.asarray(im_host)\n", + "\n", + "# Define the `preview` to not crop out any of the image\n", + "PREVIEW = {\"starts\": [0, 0], \"stops\": [im.shape[0], im.shape[1]], \"steps\": [1, 1]}\n", + "\n", + "# Point to the file containing the distortion coefficients (assumed to be\n", + "# calculated in advance of the main processing pipeline)\n", + "distortion_coeffs_file_path = os.path.abspath(\n", + " os.path.join(\n", + " path_lib,\n", + " \"..\",\n", + " \"tests/test_data/\",\n", + " \"distortion-correction/distortion-coeffs.txt\",\n", + " )\n", + ")\n", + "\n", + "# Apply distortion correction\n", + "corrected_images = distortion_correction_proj_discorpy(\n", + " im, distortion_coeffs_file_path, PREVIEW\n", + ")\n", + "corrected_images = cp.squeeze(corrected_images)\n", + "\n", + "sliceSel = 64\n", + "corrected_images_np = corrected_images.get()\n", + "\n", + "plt.figure()\n", + "plt.imshow(im_host)\n", + "plt.title(\"Uncorrected image\")\n", + "plt.show()\n", + "\n", + "plt.figure()\n", + "plt.imshow(corrected_images_np)\n", + "plt.title(\"Corrected image\")\n", + "plt.show()" + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/_sources/examples/pipeline1_FBP.ipynb b/_sources/examples/pipeline1_FBP.ipynb new file mode 100644 index 00000000..6b11b8b4 --- /dev/null +++ b/_sources/examples/pipeline1_FBP.ipynb @@ -0,0 +1,285 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 1 (FBP and Fourier)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### This example shows how to use methods from the HTTomolibgpy library to do the following:\n", + "* normalise the data \n", + "* calculate the centre of rotation using Vo Centering method\n", + "* reconstruct using the FBP and Fourier algorithms" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The shape of the data is (180, 128, 160) as (projections, detector Y, detector X)\n", + "Normalising the data\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "from httomolibgpu.prep.normalize import normalize\n", + "\n", + "# Load the projection data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(path_lib, \"..\", \"tests/test_data/\", \"tomo_standard.npz\")\n", + ")\n", + "datafile = np.load(in_file)\n", + "host_data = datafile[\"data\"]\n", + "host_flats = datafile[\"flats\"]\n", + "host_darks = datafile[\"darks\"]\n", + "\n", + "print(\n", + " \"The shape of the data is {} as (projections, detector Y, detector X)\".format(\n", + " np.shape(host_data)\n", + " )\n", + ")\n", + "\n", + "print(\"Normalising the data\")\n", + "data = cp.asarray(host_data)\n", + "flats = cp.asarray(host_flats)\n", + "darks = cp.asarray(host_darks)\n", + "data_normalised = normalize(data, flats, darks, cutoff=10, minus_log=False)\n", + "\n", + "sliceSel = 64\n", + "data_normalised_np = data_normalised.get()\n", + "\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(data_normalised_np[sliceSel, :, :])\n", + "plt.title(\"Projection view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(data_normalised_np[:, sliceSel, :])\n", + "plt.title(\"Sinogram view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(data_normalised_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finding the Center of Rotation for the reconstruction\n", + "The found Center of Rotation is 79.5\n" + ] + } + ], + "source": [ + "from httomolibgpu.recon.rotation import find_center_vo\n", + "\n", + "print(\"Finding the Center of Rotation for the reconstruction\")\n", + "cor = find_center_vo(data_normalised, ind=64)\n", + "print(\"The found Center of Rotation is {}\".format(cor))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Applying Paganin filter\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from httomolibgpu.prep.phase import paganin_filter_tomopy\n", + "\n", + "print(\"Applying Paganin filter\")\n", + "phase_contrast_data = paganin_filter_tomopy(\n", + " data_normalised, pixel_size=0.1, dist=50, energy=53, alpha=1e-5\n", + ")\n", + "\n", + "sliceSel = 64\n", + "phase_contrast_data_np = phase_contrast_data.get()\n", + "\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(phase_contrast_data_np[sliceSel, :, :])\n", + "plt.title(\"Projection view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(phase_contrast_data_np[:, sliceSel, :])\n", + "plt.title(\"Sinogram view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(phase_contrast_data_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using FBP\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using FBP\")\n", + "\n", + "from httomolibgpu.recon.algorithm import FBP\n", + "\n", + "angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0])\n", + "\n", + "reconFBP = FBP(phase_contrast_data, angles=angles, center=cor)\n", + "\n", + "reconFBP_np = reconFBP.get()\n", + "\n", + "sliceSel = 64\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(reconFBP_np[sliceSel, :, :])\n", + "plt.title(\"Recon coronal view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(reconFBP_np[:, sliceSel, :])\n", + "plt.title(\"Axial view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(reconFBP_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using Fourier (LPRec)\n" + ] + }, + { + "data": { + "image/png": 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VHj5LoEclfDeDNxpmVPM10AAZAxjA5QmflyPebxkOnM8XAFTl4KYy2aYcv+N9AAAlBrqs+Xoq8LXwxOejFexCAUoN1MiBWhYuNSCr4a2Ctxp25GAGFVw74W0aBXjAjCqQUqiWZFA1QXnifY8RgVXlYUY19KAEJTIGHhaVqnDtf3wEU1NTjzVUJxiUSUzitzGGwyE+//nP4wUveAH23HNPnHjiiVhYWMCXvvSlRZ975zvfiSOPPBJ/9Ed/hDvvvBMAcMEFF+Ciiy7C3/7t3/7SROPee+/F8uXL8cEPfhDf/va38fGPfxzWWuy111649dZbN+l4t9hiCxx99NG46KKL4L1f9N4FF1yANE3x+te//lG/f/XVV2O//fbD7OwsPvWpT+FrX/sanv3sZ+OYY46J2Jfp6Wm84AUvwOrVq+P3rrzySmRZhoWFBdxwww3x9dWrV+NFL3rRUyo5WbFiBYwxG1RLHnjggQ2qKgBXxaanp+OfmZkZAIBVGaxOYWwOa3NYk8HCIvEGSQkkKkFSWViV8nua/zZZC1anSHQKk+YweZu/jwyJT5B6i7S2SEi2bTJYsvzHZLBJCzbl15NaI3GGt520YGyOxCX8nsmRIEXiLRLH27NJxn9sjsQZGJvDtDrQWRsmbUG3OjBZC4lPYHJ+LXEJUkr4s2nO26stEm9hkhZs1or7skkLJu/AdKfiMeluV7bVhml1mv37BGltYVUix9Xiv3WGRKVIFH9O523eT7h+rQ50uwPd7UK3Ovw9w581KR+LydpQ3Q50uwub5Egp5fNwFllp4neM/K3zNp8HUmQuRaozZLXlbWYtZJVBKtfV2hZ0pwudtZDoDKlPkGjZf9KCSVt8HdIWTN5GUhskpULibTyH8DewYaL8SDFJUCYxid/CuPTSSzE3N4c3vvGNAIBjjjkG3W43VlVCKKXwuc99Dp1OB6997Wvxwx/+EP/n//wfvOENb4jffbQ44IAD8KEPfQivetWrcMABB+AlL3kJLrnkEmy33XYbuNBuTJxwwgn4xS9+gSuvvDK+5pzDP/zDP+AlL3kJli9f/qjfPemkk/DMZz4TV111FV772tfiiCOOwAUXXICjjz4ap556akx6Dj30UFx77bURe7F69WocdNBBWLVqVUxc7r33Xtx8882b30htEyNNUzzvec/DFVdcsej1K664Avvuu++mbcwRVyMAroyEFX7tgKqGKsq4oodH82/iKgM8eOVde+iigipr6FEN5Rz/8Z63T1KZAUCZ5WqK1VxxCJUBmehU5aAcb1NVLlZFQpVHFY63VVa8Pa0ALd8l4m2PVSqgIdWMse2Ec7aaqyneg5SCzy0oMyCtASeVFN1sK1ZUnIcqKj7n2gMesWICALry0KMapl/ADKq4P1IKPtEgo+FTy9Ufo6ArzxWSUFEi4kpIIvek9tBlDTUsoYqKz0nzdmA1KOEqkXJc6VI1QRUOPjVwGX+ONFe5XGYALcdY+Vit8lJV0jW/pgig1AJG0otw/RxXvFTlNnqYTRKUSUzitzDOO+88tFotvO51rwMAdLtdvOY1r8G1116Ln/3sZ4s+u3z5cnzxi1/ED37wA+y7777YYYcd8KlPfeox91HXNT7wgQ9gjz32QJqmsNYiTVP87Gc/w80337zJx3zkkUdiq622wgUXXBBfu/zyy3HvvffixBNPfNTv3XbbbbjllltihaWu6/jnqKOOwn333RcrOocccgiGw2EEja5evRqHHXYYDj300Dixh0TlqZagAMDb3vY2fPazn8X555+Pm2++GW9961tx11134U//9E83aTtK2iuq5gkaiQWlCZAmzYdcM/HCSbIhE6kuKqiigqpqTmpqadUYw8lLmMQk+VGVi+0Sn1pQK+EJkKhJZmJC4ZokA5wcqWEJVVY8EXuCqmoo5wFPPOEOSk42MgNT8L5Di4KTmyq2cDAO7FQKMIqPKTF8XaSlo0snSZOLiQiImmtRu/hZhHZQ7aEHBfRcH3q2BzWq+LuLLj6a6+49J1C+SQB0PXbdAU7KiJO58fB5097StY/tMEUEn3GCUi3JUHcT1C2DumOhaoLt13w/tAJZTpSUJ+jCQVcOqqwBR/CtBNRK+T7Vch0wlqxuREwSlElM4rcsbrvtNnz3u9/Fi1/8YhARZmdnMTs7i1e/+tUAGmbPeOy111545jOfidFohDe/+c3odDqPuZ+3ve1teM973oOXv/zl+Kd/+idcf/31uPHGG/G7v/u7GA6Hm3zc1lr8wR/8Ab7yla9gdnYWAHDhhRdi6623xhFHHPGo37v//vsBAH/xF3+BJEkW/TnppJMAMNYEAPbdd1+0222sXr0at912G+64446YoFx//fXo9XpYvXo1nva0p2HnnXfe5HPY3HHMMcfg3HPPxRlnnIFnP/vZ+O53v4tvfvOb2HHHHTd6G4oEzyAYDYAncz/ThlvWBbVSUJby5FvW/Pk84VW7UjzBVzVP1NZwYiM4E8oM/51a/iPbAhH0whDwggMJCYiVJKKs4dspyPKURnasqgNw4pRw5cF384gL0WO4DYCrKj418KmRioJMpkoBjqtD8JxQkNHwksRoqQD53MJnCVclxr+rAcoSPl4APk/je+GY9bDiakdVgwYjSWYcVFXz9oc1KOWqhhlxguVTC2+bRA0AdBGqR54xNd0c1MkBo2F6ZVNVcQTTr2BGNUgBPjMgSfJ07TlRMQreqiZ5qRx/l/hamcLBjhzvs3BcPXIEPSgaDE5o5SiFekkbvj2WxD5GTECyk5jEb1mcf/75ICJceumluPTSSzd4/6KLLsKZZ54JY0x87bTTTsOPf/xjPO95z8N73/teHH300Xja0572S/fzD//wD/jDP/xDfOADH1j0+kMPPYQlS5b8Ssd+wgkn4G/+5m/whS98Accccwy+/vWv4+STT150rA+PFStWAGDQ5ytf+cpH/Mxuu+0GgNsgv/d7v4fVq1dju+22w1ZbbYVVq1bFc73mmmtw5ZVX4uijj/6Vjv/JECeddFJMzH6VoESDtJFWi0yupYPLLXTloIfcdqFEWh4SPjXQJYNTVWJ5sicCEgN4AcjWHm46hSo9tFRNfBImcE4A+CB4hR4mQDIM8DSOAO8ADfh22oB4QyKltbQ58phc8fY1zKCCHtYMCiVudUQAq9ZQZSXtEcOfkVCVg+pLQpFPAVZDVY6P1RNXUmoP17bwS9swvYJbSqGyUNW8ocQyWHWmA51YxHqH5tYTJ3zNdVGOExLlGAhLVseqD1kF0twa0oXjRCy10CPeF3lEADLArVxVE2AU6ukcZlAjA+Ct5uoMSdXMc3WG4KFqxP8HQLNyxADewjTtsHAOVnOis/EdnkmCMolJ/DaFcw4XXXQRdtllF3z2s5/d4P3LLrsMH/7wh/Gtb30rTsJXXHEFzjrrLPzlX/4lTj755Agu/d73voc0TR91X0opZFm26LVvfOMbuOeee/A7v/M7v9Lx77777thrr71wwQUXwDmHoihwwgkn/NLv7Lbbbnj605+OH/3oRxskS48Uhx56KE455RRMTU3FNk6n08Hee++Nv/3bv8W99977lGzv/MaiJijt4RMDsgpwBDKKV+cAJw6OOBHwaFb2ITnxXOFQShgrJVdTVO0ASmCUAoU2hlFQnjES0IAe1aDMCAuHmS+qctD9GqaqgTSJFQlV1s0EPKo4gUgTqKpmJk1qGYMiVRbXSWEWRlCFh5vOOfnSSrAkgJXj1EUVKx8ut6BUQ0syErEuRvGxBmxI7WH6BbdrJAGi1EL1R1Ajvm5ILJCnoHYKaMVVloBdEdaQ6TM2yk3lUBWgC26nwCj4zMKsH4CWd+ByC59qwYRoeJ0AnmArh3o6BxRgZ4eMQ0ktXNuialskvZoTIACmV4KmMvhUCzbGxapUPZ1DFw4+M9Clh/YeBANo4qQmMqM8yCYR76M8QYfz3YiYJCiTmMRvUXzrW9/Cvffei7/+679eRMENseeee+L//b//h/POOw9HH3007rvvPrzhDW/AgQceiNNOOw1aa3zxi1/EAQccgHe84x0499xzH3VfRx99NC688EI84xnPwLOe9Sz827/9G/7mb/7mMbUPHitOPPFEvOlNb8K9996LfffdN1Y/fll8+tOfxpFHHokjjjgCxx9/PLbddlusW7cON998M37wgx8sYi8dcsghcM7hyiuvxEUXXRRfP/TQQ3HaaadBKYUXvehFv9Y5PJVDlzVgLcywAoZjeBHvuWohWAiAV+lqVIKMhqaME5aiBHVy+ETwHcOSqwhag1TKyYe0WXTpoIcj3nwr4baDUpycQICuiWGMSGK5IhHaOmPtExgNnyXSauEER4f2Q80YFkotJxBlBT2yvP8RV3lC20lVDmq+D5ruQPdK6GEVsTEx+TC8X1U4aOLkjRLD7a7+EDCG2y7GQBnDSZWAdaE171MqJmS4UqVIJvbaAYkcR6BwVzUoTeAzCyxt87V2Hnq4GOuhhZJddyxMwbRnWA2fGpBSsEMHM6xg1vVAiYXvZtzyShS8NbI/gptKG3q1tJNCIkqJYHi8hyr4XoREUNUeul+gdhMMyiQmMYlHiPPOOw9pmj5q1WHFihV4xStegcsuuwz3338/jj32WCilcPHFF0fVx7333hsf+MAH8NGPfhRf/epXH3VfH/3oR/GGN7wBZ511Fl7ykpfg61//Or785S//2mqzr3vd69BqtXD33Xc/ZvUkxMEHH4wbbrgBS5Yswcknn4xDDz0Ub37zm7F69eoNqiHPec5zYlto/L3w7+c85zm/lDH0Pz484xNUUUENCm7VSIIRwJkRT5JaUCsDslSYHSpiSiLrJk3gZzqMDQHkPQGZStWCrI5MmtCmCMF6JlI5sYaxLbUwdsLxWA3fsvA54x+U48qNKqoI3gTA4NuEkxMVQLFSAQEYWOq2nIHPLSdf/RH/ETBs0EcBOBEio2ILhBIDv6QLylPWORkUDMxNLJCliwHG4KqPXhhB94tFzJfQWostHWukbYWY6Kia4I1mXZL5kitDJd8nM5JtmTGQrROw8PyQsTaScJnCwfYddOnhMhMBuUbwJrp0jeZMAOaGhIUIqGroUQnTLyXxtBGHszGhiMbgzpOYxCQmMYlJPELMz89jZmYGL3rWO2Fszq0OSUyg1SI8SARHkrBLZCWtyxo+tXEyX1TlGKcfS5AATBmkSovaIywShjiZRkZMKS2YNIltJhgF181ACiwktjBqjlnYRb6VxO34VsKJUMBRhNfbKUgr6EKYLMIGIq24EpJaPmarQQpNkiVicgBixQZVLcmFXszusaZh3QRgcbgWVnOSlNtIow6YFNfmhogqmZHjUwO7UHCVJ7CPygpueReuZWH6QreWhEd5gl0/aNhWAAN+MyMAWgW7UMbkTdVN4shifVzx4XttYPplvBewjEeixMAPerjylg9jbm4O09PTv3TMTVo8k5jEJCYxiY0OShYnJDECaLMGYDRIc2siTPJK2h3QANwYYBVotEBE6ZW0jq0SCCOGEh0VaMlqnsBDe0boyGQUlJZKinxWOQfSrJuiA9VXJv4APkVV86GE1wrHlQAJJYBeVdaAMYy70RoqsSBIkhKSLdFBUYSGRRSqMZKsxe9q3SQrYf9a8/4MT+iRkTSuJhuqFZKIxITCaFhXc5uncGOfk8QxY8yYywzMsGYGEBCVaGOCBUCPuOoBo6CM5mxBcWtHBSp2KmrBwCL6NRnRV9E6jgXez2IK+GPFJEGZxCQmMYlJbFKEqkCcND0iKyXobijTrMSD1DqgBVRrgEQm2qB/ogmqkAQlX1whIdEaAWSXRkNX1SImSkxusobpoxxrrCitG40OCA1Zi9iak4SgZByLctzCQkgkQlJjTSOuFoo+0FBpAiJmLqmyjviYoBMTKiOh4oCaAb9kLSdBtYOqHSixoDzhid5Lm0iqDiSaL6bPuBeVsjBclLC30tqR/ysB7JLQupXgaDhR0fCJgH9Fxl6LgFqoWJHR8EgZb1R7IOMKThCcU86BsoT3Q0L9Dhic0glOSYOMVI3GqmmPJH//aPGkx6BceOGFTIGSP9ZabL311njd6163gaDUJJ6ccfzxx2OnnXb6jW3voIMOekSA5yQmMYnHPwg8+ZLVLMSV2AaEKroksS2RMCDUt7OmsuAcT66aV9k8CesIRA3YEV066IFMyLWHGZQw/YJfL+pGUwW8MtfzA+iFIU+gg6Jh8dixhGFUNQJzY54+sCaCbGFNU7mQlorv5NzeETE2TiL4evjcwk3nzNzpjaCcY4aTloRtDOPiOiknMuOKqokF5XIdxzRdIk6n4vM1vSKCYnVvGMXS+CD4j13g60NjCrlK9FuCJxJZZiUFcCzAdGLGs/B5BcwOgEaZ17HnkJ7tx8pMrHoBXGmRa6wHJd9bEbAjq9k3KDE8TjYynjIVlAsuuADPeMYzMBqN8L3vfQ/vf//7cfXVV+OWW27B0qVLN/fhTeIJjE984hOb+xAmMYnf2tCVh++2WXpdqhy6dCAFkNNQTqNe3mGcRgC2DgquDpBqJNITs0gszVsNyjLYBW4vxFaPiMLFVo/VXKkYa394q6GKGmq+xwlGJ+fJUBIK3Sv5O+2MGT8AVw7KCmpYAM4xZgVgirFWMAPBaBgNyjTMfAHfTqDB4NogJgcgAnd9O4eqmA3DIFYLBZbpZ3qvAmUGeu2AkyOjOUFJDOuLaA1Ygstt1GIJbBg1GHE1qc1gYj2sODfIDJTnz2kBwtKSNvSwagz7RA/GdQRDUxNL2Qv1VzkdKyG215y3m8qi+q7plVBFzVWmwQjae6Y7h/tiBBxt8wgaJqnGAEyJ1vMD1FMbn6A86SsoIfbcc0/svffeOOigg/Dud78b73rXu/DAAw/8UhbBJBC1Iv4nxR577IE99thjsx7DJz7xCey8887I8xzPe97zcO21127W45nEJJ6ooISxHWZQwc6PYOZGgvUQWmxmBTPCK/TIuhF8h8+SWBEJNF6IK66dHYESAzeVM2jVMDhWCZ2VrIaS7elRDTVisGoUIFs6DbekDUotdL+AnR2wjH04dsP6IqQ1dMHuvJQlomHCOiqszApJECqu1gCg3EIPKmEoJfF9NawiS4cSbruovrBviJilA2bEBI0RKBXZTQB44hfJfuWIKyHhnFoJ3FTG2/FjkvWhFRVe0xDAsIeZGzb7sRqUZ/CdrKEU9yroimBKDztwSHoVbL+CGQSKM8GuH8LMj/gcy5qvV2a5ktTOuToEcLVIqVjt0sMqevvohRH0oBIgsQblKbOXNjKeMgnKw+P5z38+gEbGOsRNN92El770pVi2bBnyPMdznvMcXHLJJRt8/5577sGf/MmfYPvtt0eapthmm23w6le/etH27rrrLrzhDW/AlltuiSzLsPvuu+PDH/7wIjfVO+64A0opfOhDH8I555yDnXfeGd1uF/vssw/+9V//daPO5Td9LGeffTbOPPNM7LzzzsiyDFdffTUA4Otf/zr22WcftNttTE1N4bDDDsO//Mu/LDqW973vfVBK4Sc/+QmOPfZYzMzMYOXKlTjxxBMxNze36LMf//jHccABB2DLLbdEp9PBqlWrcPbZZ6Oqqo067/E4+eST0el0MD8/v8F7xxxzDFauXBm3+0gtnrIsceaZZ+IZz3gGsizDFltsgRNOOAEPPvhg/Mzb3/52zMzMwI2VXN/ylrdAKYW/+Zu/ia+tXbsWWmv87d/+7SMe6xe/+EWcfPLJePe7340f/vCH2H///XHkkUfirrvu2uTznsQknmqhKi84BRVl3EOSUM9k8HkCPaoaJdaEkxY9P4gKrHrAbQBdcushtBB8N5VtyfeJxNSO2zR6WEXxMp9axqoYUVktStEwYdaKz5narBzxe7VrWELCDFLOMUYksaDEop7JoUsH0y8iXgUy2bpOAmolUCLApmrPLaOSsTB6YcSAVyOYFk9jx2gA72Hvn4N5aJ4neKVEOp+TGMpYy0QNhLrcG8h22DPId3L4mW404aPECi5kDKeiVKwQ+VbCsv3tFG6akxMzqJhZ5Ai2V8IulDC9EmZ+BLOuD9tjYKweVqBQxZG2WAC6ulYSK1e8T75MQbMFjplUlAqmBpxM6uBnNPb8fax4yrR4Hh633347AGDXXXeNr1199dX4/d//fey111741Kc+hZmZmSiJPRgMcPzxxwPghOAFL3gBqqrCqaeeimc961lYu3YtLr/8cqxfvx4rV67Egw8+iH333RdlWeKv/uqvsNNOO+Gyyy7DX/zFX+DnP//5Bm2Gj3/843jGM54Rhave85734KijjsLtt98ebcofKR6PY/nYxz6GXXfdFR/60IcwPT2Npz/96bj44ovx+te/Hocffjg+//nPoygKnH322TjooINw5ZVX4vd+7/cWbeNVr3oVjjnmGLzxjW/Ej3/8Y5xyyikAFvu0/PznP8dxxx2HnXfeGWma4kc/+hHe//7345ZbbnlEP5dfFieeeCI++tGP4pJLLsEf//Efx9dnZ2fxta99Df/7f/9vJMkjlwa993jZy16Ga6+9Fu94xzuw77774s4778Rpp52Ggw46CDfddBNarRYOPfRQfOhDH8INN9yAffbZBwAbv7VaLVxxxRV4+9vfDgC48sorQUSPqhZ6zjnn4I1vfGM8znPPPReXX345PvnJT+Kss876pefpvce9996LqampjbIbn8QkHimICAsLC9hmm22iPs0TFapyQArGkKRcTdEVJwC2Xy0WaSvH3YhFml4TVFmN0YA9kEhFwoGTirKGcjXgFSgRQz5jYIYlJwG1iKAlJuJQSACujT9OFSX3GdvBXjfMJNIgeMCy6BlqB2pncnz8vs8Xy7WrmuATDe25HeNbCaCzKDYXJnN4DxQl0M4bunHtgUowIEHvpBSzxIDXsSlcJ4EetBpmjxNl2iRIzTduzDCGE6NaxNYCW6aVAUajns6EEu1Yt6T28DkL7OlhFY8hYl9qB5Q1lGCBXNvCZxZ6VHG1yrO4G4n6rBpVMTlh+rfmFlQr5YpafwTfbQEJIo4FWjELaiPjKZOgOOdQ13XEoJx55pk44IAD8NKXvjR+ZtxS3Vo+tSOOOAIPPfQQTj31VPzhH/4htNZ473vfi4ceegg/+tGPsPvuu8fvv/a1r43/Puecc3DPPffg+uuvxwtf+MK4LeccPvWpT+Hkk09elBxNTU3hsssui54g22yzDV74whfiW9/6VnSMfaR4PI4lz3NcfvnlcUL33mO//fbDqlWr8K1vfSs+0I466ijssssueOc734nvfe97i47rjW98Y5ywDz30UNx22204//zzcd5558WJ9Zxzzomf995j//33x/Lly3HCCSfgwx/+8CZhg571rGfhuc99Li644IJFCUpIpn6ZINcll1yCb3/72/jHf/zHRV4rv/u7v4sXvOAFuPDCC/HmN78Z+++/P9I0xerVq7HPPvvgnnvuwS233IJ3vvOd+NjHPoaiKJBlGVavXo1tttlm0f0IUZYl/u3f/g3vete7Fr1++OGHRwfc8SiKYlGL7Z577tns7alJ/M+JX/ziF7+2Mu+mRqS9Bv2RwJTpDbgknyZR4Cxqo2jNwFiisbYOpCWCaGAXtD4ANLohEmx+Z6FGRSNhXznA1zzxifGgzxPoAWu0cEXDNOJg3kOR4sRKQLrQFJk6ps/gTtQeaCXiWUNjvjcy0XoAyjSVpMyKIJuwikRynxQiE4lpvEnjLmwN++2MOy9XnpOxVgYjkvDKuVjxodRCizJvqK4wYDXl1pSY/ZHW0KWHT0SnZMhVHp9bbnlJYqRqxxUcYQmxszRXyCJN2aOhY4MxSKQYVxPAuCS0cxV1cAxUwdoxfBEkUXTUMHs2Ip4yCcree++96P+77747vva1r8VEJFiqf+hDHwLAluohjjrqKFx22WW49dZbsfvuu+Nb3/oWDj744EecgEJcddVV2GOPPWJCEOL444/HJz/5SVx11VWLkoIXv/jFiwzLnvWsZwEA7rzzzl96Xo/Hsbz0pS9dVG249dZbce+99+Lkk09etNrqdrt41atehU9/+tMYDAZot9uLtjEez3rWszAajfDAAw9g5cqVAIAf/vCHOO200/C9730P69atW/T5//qv/8Jee+31S8/94XHCCSfgLW95C2699dYoX37BBRfgBS94Afbcc89H/d5ll12GJUuW4CUvecmi+/7sZz8bW221Fa655hq8+c1vRrvdxj777IPVq1fjPe95D6644gosWbIEb3/72/GhD30I1113HQ455JBHVBcN8dBDD8E5F69BiJUrV2LNmjUbfP6ss87C6aefvsHrB+34Jpi5AZBmbJwmzABKE6A3gLLyUDVGAHzpYsZBWQFZyg9r55pVZJ6xp0i/jKtCVdZwnTSaltVTGQPeRJdCFTVTM7XmFWLloXpD+Kk2P6gE8BcpoVrDdVPY+RGDBAXkWC/JkawbxId02CaAKOKkhZ7qWwmrVgpjgoWmEl5pesYk6PkRfDtj47PECBWS9TAIALSCWdcXx1vLD3cgUiEpZXEp17Kw/QouszCjCrpfgoyB7yQw6/pQ3sMt7fADthIbewOW9yYBBw5HotvRiIpRK+WJSvQ2QqsDnqDqIM6VQi30Qa0c1Eqhg6lcEBJzvvlsK4caDCMtlcoaqp2BQnVhVIAGA0BpFLPrcB39E6amph71d/G4hmsmdabdapDQZX2W8sQnBnFRlj4R6fgwiYfihFFR5ZS3mbA6bNTooMhAgUZMOMio2GKhlBlEwUwwTKbKE0h5wDcaIqw0K+/rRptDDUum5Fpux6BUDcDUI4J0AdZFUUQgMlHKHt5BaQUyNiZmUWU1MJusgRo5hrgYUav1PhoCGknevNXQWSIsIM9AW2EGkTWgVtr4C1U11FDBCAMnnKfpl1C5FaBtCVU7mL6RxI0AEhVby7gZKGlPia5MAOfG89MQKX4WX/N50jwXdJD4DymFZwdloGH5BArzJlT8njIYlM997nO48cYbcdVVV+FNb3oTbr75Zhx77LHx/U2xVH/wwQcfc9Wxdu1abL311hu8vs0228T3x+Ph0tfBJO2xbOUfj2N5+GfD+4+2De891q9fv+j1xzqfu+66C/vvvz/uuecefPSjH8W1116LG2+8ER//+McXfW5T4vWvfz2yLMOFF14IAPjpT3+KG2+88THlzO+//37Mzs4iTdMN7v2aNWvifQe4GvSv//qv6Pf7WL16NV70ohdh+fLleN7znofVq1fj9ttvx+233/6YZnAPb88Q0SO2bE455RTMzc3FP7/4xS8AANZp2HwKtlYwTsPUGlZnsHkHSdaBzTqwSPm1pI2kBBJvkNSK/00WSUHQM0ugly2H9RYmacHqFIlKYU3G//YW1hukPoHJ24vfJ4sEKUyny++pBNbmMDaHTVow7Tasks/VBrZWSCqFRD5nbQ5rMphuFwksstrCtDr8uk6RlApWpzB5GwklMHkLemoqfs+2urAmQ9p3SLyF7nRgdYbEW6QjhcRppEOPRKVIKEHiE1gt18TmSEuNpARvU8n+VIKktvz50iCbq5H3FG9XZ0hHCtYbmE6nOf6kxdumFLrTQaJTJJVFYjKYrA2Tt6GnlsCm7XjeCRKkfYe0IFhK+HxsDt2Z4uuZdWDyLkyrA7NkGV+P2sCkbViV8jVGApvzOZu0LdemBWty2LSNZHoJTGsKidNIRh7GGx4zKkW2ZNkjjsMnIrj9IkJdgg+hxEJ120yXNcxOISN03URW9qLNEajIqhI1Vlmlw5ooeKZcw2CJ7QGpZvh21rR2wsQfGD+KVV5Jkn3KRUL+YZOiKsqx/fummhCE5WqRsS+Y4qwCUDYwd6RqFGTd4RFxJ5Qx5iZK5NPDnIZDtSHsK9CWhabL7CLRUwmVKhFS0+I55DopJxeyuNH9IVRvyIlZMkYPlsqUKitgVECvnV+UNFE7Y0Bym9tBoQ3nUwtKNFybK1I+t3ACstWDkjFAmQUUolQ+WV7gkOCM6m7KCWPA6whlely2/7HiKVNB2X333SMw9uCDD4ZzDp/97Gdx6aWX4tWvfvUmWapvscUWuPvuu3/p/pYvX4777rtvg9fvvfdeAI2F+68bj8exPPyhFZKNR9uG1nqTqdpf/epX0e/38eUvfxk77rhjfP3f//3fN2k747F06VK87GUvw+c+9zmceeaZuOCCC5Dn+aJE9JFixYoVWL58Ob797W8/4vvjq8xDDjkE73nPe/Dd734XV155JU477bT4+ne+8x3svPPO8f+Pti9jzAbVkvHK0nhkWbaBoy8AUFkBy1ZAzfdAVcVLOe/ZWK2VNfbu4tWhyIDyVFgM3D9WZQU1LLmCkKfscSImZZQYbg+X4bM1XKfND6xRJeV1KxONSF0H1Ul5ljO90POEUjvAGJCmyAzw4q3irYbKEmYzBBt68URRwzKKVZleAd9OWeOh9nCdlCmqMrnokYOeG8B3W1zVMUFMiz1FlJidqbJu9BWm2hGgSeNl9rFetx4UqJd3+PtKgbotplcWjkv33sPrFvf4xfxNidkZMgYF6spxtcoYUcbkSS9QXfWglEqCyLFbAQwG11ql+LikqsIHJuVxo6GGBbSwHJhOSjzJCSASWgNVkCxXUGkOLF5TPHGhx0TORA2WNOBNmysaMikzVqRpxYTqCeVs+scCZT6urH2eQjtucVD4PYTKCQCIe7CqHMiLmV6YjMWoLlYZjWL8i7QWyKhmNa6kGpVnkSYcpNj5bYKqS95mOF9JgupOwvTjUP3yHhjjBFBmY8LCQmVqkXw/KQVljIi6yf1MLP+WQrKlRf8kYE3C/oFYfdJlY4qoghdSK+Pq5nQWkxAWluOEi4ZDqDwXrx2Cn+nG3xEABgoHSjdfJtS53UDWHmDtF9ZpIaaMWxbC06Ixw7YGTRWNDSQ5UdL1xi9enzIVlIfH2WefjaVLl+K9730vvPeLLNWf//znP+KfMFEdeeSRuPrqq3Hrrbc+6vYPOeQQ/PSnP8UPfvCDRa9/7nOfg1IKBx988G/kPJ6IY9ltt92w7bbb4uKLL8a49VK/38c//uM/RmbPpkRIgsYnXyLC3/3d323Sdh4eJ5xwAu69915885vfxD/8wz/gFa94BZYsWfJLv3P00Udj7dq1cM494n0fd7t94QtfiOnpaZx77rlYs2YNDjvsMABcWfnhD3+ISy65BHvssUesTj080jTF8573PFxxxRWLXr/iiiuw7777bvyJVhUzC7TmhwYkaZEyuSpK+KkWtwh6opngPE8M7YzLwDMdUJqwYVtimwea4V6162Y8GYoAlZkbNYDFUHZP5UFD/PA0/RK6VzQiUUEJ03tG5Et7yS4U3K5wBCigWprDd1NZDftmohDaY1wpQlrSTpIDWV2qUQEzFNCgBu9LkoFg0R6Fn0RqHErBd9gh16e28WEJK3TnQFnKImEk4lOdDK6dQBHiBOe7bV71jk1mlNooVBW8TpDwyplX5/Iwl3ZS7OkXJdSogs/5/WgyF2ipvQEnICKehaLkyS5LF5fCE8vbGhY8QWUpVJYxqDNJmglrc4SXNphgR0LLSg143EQQp1JQwxJm7QILqMl564VhdOUNk2No49TLOnEMkTExofV5Ku3IhlIcVuJ+uoV6iyk2A0xFW2VYwadCiQ2YljAmywrUacFP5Q0bJeXfD6uz+sWVmTSBn8rhrYYZVJwsz/U2ZKNYEZrTiAJv8TiDMFyoLokpIYxZVN3xqVSdDONpuAqUgFopj6GQsIaENzCAWpm0vpgizUJxTNGmxMAvnQa2WQlaOg3qD0CjIrbBTL+EHlXwHa6imIUC9sF5phaXDrpw8W87P4Lv5pLccyLoU8OYnoA1CtUhCBVcPkeZhZ9qAWWNjY2nbIKydOlSnHLKKbj55ptx8cUXA2BL9SuvvBJHHHEEPv/5z+O73/0uvvrVr+Kss87Ca17zmvjdM844AytWrMABBxyAj370o7jqqqvw5S9/GX/yJ3+CW265BQDw1re+Fdtuuy1e/OIX4+/+7u/wne98B3/+53+OT3ziE3jzm9+8CPPx68QTcSxaa5x99tn493//dxx99NH4+te/ji996Us4+OCDMTs7iw9+8IObfNyHHXYY0jTFsccei29961v4yle+giOOOGKDVtGmxuGHH47tttsOJ510EtasWbNRbrWve93rcOSRR+Koo47CGWecgW9/+9u48sorcdFFF+H444/HV77ylfhZYwwOPPDAWC0Jzrr77bcfsizDlVde+Zjtnbe97W347Gc/i/PPPx8333wz3vrWt+Kuu+7Cn/7pn27ayUqCQtMdqG4bKiQTSoE6rfjApyVTXKrWqnGQ1bIqCRNy7aCqOgLR1LDiVZSA62AN9GAUQW8IvfcgPS0l2OiOGoCCY74lYbUbKzutVMB0NXTpUbfZWCzoXVAuD2Gto5GaGtURcKhHom4p7/vcgtIklpCpJRWjUBIOWA+AVTuHzBjxOU8KasjgSZYvl8RK82pPj2p+YI/LswN8biHJCE9DKaubQRXbEqGyEoKshmsHDYsK0fBNWCCqYhVUCvcpVE6ylPeZJpyIelnl54wxUiMZEy1J/EcF/xGNDtVuMePFbL5HNxkThbh0ycZ7eljBz7QZ8yR6KD7l+0mJje0W6uRcGRO8SKh6eEn49KiG76bNPoLOSSG0ZMHwqMrBtxKmwgLxOvqUGS1epOCjmFztueI4KuM4iU7HiYFrJXDLOvH8yEiLqJXyPpSCrhzjOpyDXzoN6uRw0zl8O+GKW28APdvni+T92DhO4LspzPo+9GwPalg0zKFQPQEiPTicL1fipFUm/+axkYqoHdN4qZ3FcRVwPnb9kH+Xg4JVdauax+xUDtpmC2CmKwkkM518O4VPDCcqaaNoaxcK6MpJNZN/N+FYKGXMixnWjNMq6+iXRIbxXKg9twRHFQvpFfUmjd2nbIICsIbFDjvsgDPOOAPOuY22VN92221xww034Oijj8YHP/hB/P7v/z7e8pa3YG5uDsuWcW93iy22wPe//3286EUvwimnnIKjjz4al19+Oc4+++xH1cf4VeKJOpbjjjsOX/3qV7F27Vocc8wxOOGEEzA9PY2rr756A4rxxsQznvEM/OM//iPWr1+PV77ylXjLW96CZz/72fjYxz62ydsaD601/vAP/xB33303tt9++0dttYyHMQZf//rXceqpp+LLX/4yXvGKV+DlL385PvjBDyLPc6xatWrR58NYGB8TWZbF6/BYCcoxxxyDc889F2eccQae/exn47vf/S6++c1vLmp1bcSJxgoBgphT6E9DSsFVLR4dLA9NiQDcipI/r8HfD0ZprYwf4oMRVyIcNROn83DLugxOHYyge0VkSahRBV1UDSBOJMyplTSAzXbWlH8NC1VxH5wpl3pUcXk+YAkqeRiFqoTVcUJRtY997WCwxk6yFNkWYdKAB4MXIewRjQY74MXbRCuu+kjlIVSHAsuErzeiP4kOug6pRT3TaqpI0h/3soJVgyKKdIXVJnVyTsrmhzBBAEwSLjjfyKqHZE7uV2h5UCYiVwEoq1VTXZpd4NX6NFczKUv5Wgf5dWsaU7knmFo8HuM6IhQqAkHptTdkaqxz0WjOd1vw3QxupsVjIVQD5LJx1UBHXIaqnLBvmoSQK2UMTA6CaIF5ooYVdK+EmRshWTuAWRjxcRZO1GybRNt3c/gVM6in8yhZ7zIDKNFYUSqOseiuXNbQ/YLbeJLYuqmscfIlAbC2cyBNYNb1Fo19eA+zUDRJcQAXj8vRSztLVZzcoayi2B0kSdeDkp8FuUUwa3TtlH9XlinGujeCme1BeRZJU/M9rtqNCj6mYPIoTCsl7TAAMIOSx3xZC8hZx3Yupez3Q4adjX2i43eMLBRUWUeQOf/OyuiVFMC4lFlQd+Or9YrGa/6TmMQkHtcIlvWHbvMmmM40l/JHJU8+ACckRoO6LQG9Sc+3nfPkLhNrmKB9O4VZKKAGI/jpNlR/FNUpIToRASPRlHBH0XMkJDABxDcOYAuCW8EETJV1/LzrZnFSMnMjUG5Rd1Mk64eRkREqN77Nq8dYJegP4ZZOcRVkbJIP+gm6NwB1eDKLsuR6rDceKkhhFW40zOygKbHXHnqh36yAQ38fwvART5HYcgorU5kgGexn+LoSyYSguXo1tgKM13ZhFKsuqnagVgafJbwKruqIOQkGa+EBDg3enkyeajCCWzbNpzsqoRYGsU1G3bYcA1+vuhpi9d2f3CjL+t9UhLH7oj3fjsSHhJpXzD5lgKteGMXWTbhfIRkLmhqqcPDthCdL39wDXY453UqVL1atiKAXRpzctET8Szx64j6qWqp63F4JrDMowUkF0Co4KQreNsEQUPWHUSFVVXXzb2lZ+akW78qYWJUDOHmN2i8jpvBSnjKWahxHE9hLOiQuiBVHBh7zZyiz0L0R3EyncWSuGHNST+csoy/XxbcsQKGVInosCbe21KiGXj8PqmuoZAwwHK5pFYC/rNirBgU/i7otHqfyWwltT26vlaiXdQS7xX5JEYsklOfxFk+4LnE8EMH3+7jy5g9t1Nh9yoBkJzGJ/1HhSUrh1KyospSBd1XN4Dyl+IFbyYNmphuBfCwhXsE44gSgL8CzNOGH07BikGx4KAe79/D9LG2YGFo3rRbNk42ZGzKYL0ug5wa8bWvisarKs9aE5ocsiVQ5iKDWz/OxT3cjEJLEWh4aQJtXr6Qa8B+1UmYICKAPALdzFEuj+9zyyq7ilZ0aFfxgTS1MLNlLSTk43Mq5+zYDbe2DC4CohaKV8Iq5rBhMqTXQFpbCqIIpa1ArAQlLw2caZsjA5Og66whIFNySNl+PshYdDgFKyirUtxNOoIy0q6QCoEdlBEmqwQiUi+hXVTOAOSRCWau59gCoPwT5Rr79iQ5VexEgE2qpEtdhoBFfA5p74AhkwOMF4O8YSQoCA8Qz2FJVY+vlADr2aNg/sr0Gz9RUIbiis7iCRYHqrBVU3VQw2JFXKLpKNW2HqhbQKrcr9aAZj4sAu5C24hj1njIDXdWAYZp1BMbK5BwxXeDElBIbgdvcFhVs1oiaKlRRNb8Hy+2bkKxQYqLfkSprqbo4uG6LGTaJgaraseJK7TG8oNZ8m8brE2kiGjAO1E5Z1TYcb2xTJvCJhnF+bPFiJAFULK4HcFIdjB+BRnXYUWT5bExMEpRJTGJzRGAxCAhPVTVIJj/lHPSataC6BpZwlYUBmjwxqCG3Y/xMG7onBmJZ2rAYas9JAyBgtjpa0Ju5Ia+SplpA4VhaXMSUVOXG+uEltNEgsqxtMdXiPvw8r+qVSHjrfgFKLeuuAE1LJWc1SzUqpFLD7Q7KBDw6LKEGMtFYA9QKOiRTImalAN6n9OOZesrqmhFcajUwImE6cetBDUQXI2kekMqxFDrLgmugkAf6Qh9IErgVM3xtCaKQqVAvbcEM6qaqpMGr0DBhEYEcxRK8bzM2wCxwzz9MqLEyELAvobTuKdJEAy4D4CQIzoG67WY1WrB5Hiou0yv1JOjOB7ym90DhODnQaMTbQngPKMNeLsJ80mO0U64SaSC0HEPCLuDKmMRKAh0wP2Q1lCIe71oDLROTBnIQRhWDRnXp4mo/OvBGF16poElFMbrtBt2boFMkiwc+SH6fwjgVt16VpTwu4nkHxpvhy+VkjFZjFYYA/k40VGUE40URp8ILGc3quQIuRlVDhe87zwlN7fgcDGNxAMC3M2jN26+X5IAjmEKMHb1usFeCA1LSloSH0I6ZxYPKNaaNQAQ1N//3sYUaMF2USPITKjbiNRSfERsRkwRlEpPYDMHVBVn9BdZDWHF1WlG7ISQWcEmkUvKKU1QixXjNd7OmXZIYoKJY3VA9bs2omleDfqolvfUKemSah/2ggCaCtxm3WIyKk6eqPYMLieCWdaPuATyxN4nVXPY1CjTViTRbZiRV8FMtZlfMczWGrAGylOmIgwIKvPJTWkNpzW0eWfUFVgZfB9dUZ4yGeXCOEzytofpDplqGfrfVUDXiKtAtmwYlGnoope0s5WStnfPrA06EfCeXycLDZQZK2gG6NxLsjxYQZwldVPAaCJLtOlQAJAGl0Ot3Hr4joNCaH9R+Kue2R1FzRUfkxClUCvrDWJJXVc33pNvmc6uGwGIbsicsgiEePAvaBfwOM6corsIV0CRYyjctRK+AwkVtEdY/ISA4BBOgalmxQzX4FscJhi49fCYYFIiIWmjrhGRSVunKEzv9Bop60CwBIuaJDE/qyovGSWhnBrZSPtYy1Srqk3irueLnIIByvjaq5FYTU3KF4SR4k8Cwe/gkzaaFBuTsGP5Fji9QqcsGqM3me2PtLWOin084zlD1ADi5c4mGMpxc6KA/QwS5GhEL47ss+a9rDydeR5oIquRraxeKht2XSvuTECnNfI0bTFekSYfK1SagSjZrGj5xhJ3Eb2uoum561Uu68Eu6DfBRKQZjWtNoKgRBpl7BQESAKY/DEnq2J4wJu/ghFsrHYZ/DcoxNUzA2onYNfbfNuhAulx72sOSEIk2kTG2ETTQG2st40nXtNE5AynEyowpmngTgr5ti2jO1sojZCHos0Bq6V0L3htADBjmGCgRJO8F1UlCXkzc/lTNwEhjD0NimutEbsChVf8jut8QCWrp0ML2CKymZAbUyqKqG6bEdwTimgrSCyw1I8T3xYnMfdDzCRBUBsYVrDOasge/kcNMZTwQDEdIq2A9GDUsBXlYRf+BTy/gKa/hetHOmwrZSTlqrmo3k5noNMHczRRRoE5aJ72QNZZgIvpsxxTdpWi5enHADc4zyhMGzHaYSqwEb9LEKsI0g7KBrQkaSc0kiFoUY6gW8REwmAvPEargOt9B0b8BYngAwj4BfMzaGqRGkE0YYGQO/tAs3lcU2S2g/qaKEnR9Fr5yQqAVqcwDq1lNZU0kQhVafJbEKx5gPG8HzEaQqoHrfbQmQ3UT6MTONEnhJpCgxMCPHxn/DksfcoEC6foRkvoAXywElIPNxfAiI4EOVs3CsKi3XMoxxvTCCnutzAj2G6amW5AyEFjq0GlU85vvD6FWEuqnSbkxstgpKcIT9xCc+gf322w+f/vSnceSRR+KnP/0pdthhh811WJOYxBMTREwXLSvowahp8xgWaPPLuiCbMINgfgA/0wGSVtTdULUHBRE1rWH6wsrJs6Z07aU3bZkRo0PpVavYj44lXpkUvNUiD876EmZdr/E0Ce2SYRXBqYDQjCsHl1vYwahB7XspTQtIVA+ldZFl0QMkyOiT0g3rqGIsBwMO5fvhIR9EwGR1SlnK5W1hHvjptrBJBGibJ/xZcbQNrBpT1Y2mTFi5y+pXDWro2Qp+ugVdC100rASNbuT9MxPVOgNlPACDSWiuuuLKgdt6RVPOtwqKRMjOBbGyMGlLiy1o2zjilkZINK0BDYZNq2EzhKoclCUAXA2JAmdSdYDzUImBSzUgtFNOaCseR86DEEQCbaTGw7CGie9kcHIdzKjmBFMjOgLH+xTp8gSUjMfiCiG3MvSY2q2XxMV3Mrb7oFABRKxI6sEI3rQie0YVPurdREBsUUGZlM9FgLmRFVNWUJUkJEO+f7CGixSeAa1mWDFgXEz3mGlUMHBW2GTBU4iFG8ewLGkSzQ59J490Xj2qBcAubSOpOFIiooIuaBIBXNFBbM94ocqzW3IKQwQ9rBm8C/BzwGooTVz1co63ORzF8UCKvx+ckskoIDFwS1qwsybeg5CUutbGV1A2W4Ly6zjCTmIST/Uga+FbQrcTfAGFUrKvouqmn27BT7fjw1QPuY8P7xncpxSzd0b8QHJiF68HZdQrgdYssBT0HIo60jR1GeiBUqIPwDYP1EtboGQGuscOspRn0H3xz1HSmxaAID/UNXy3zZTGsML3Hr6t4FvcioLIlKsBRXqtAuRhzcdM7Zwnsd4A2HIZJ2XDCrqsmJot3wEQAaWUGKiFWlaanCREVo8wnth0TQSu2nmjIirXUw9c9B1RD62HCrgej8gmolYWWzQEwR2wHExTLQjthMJB94agTs4YhLIGOcQkifpD6KlOQ/cmWXUbwWso0b0RlhdlKfyMhc5T0AMPPP6D9FHCd1JQzUJtlDCmR3mSqkcGs1CIFH2gzCOCOgnswAsPTmRGFYwkeKqqQd02T4i1b+jBwmTRtVyLhGm2LGZm4bXi5DtQwqVVpoZcKUOecZFkgZVM/XRLMBeCERqyXkig+qNkgDlJwhQZOgAIor8jiRYS2zDJIIKBREDQHgGgvBIq/5hh4WDUtC88Z1qkNVRVSFXOAcMR0G7FNuEiQKtRKGdSmMLH1q6byaWt4iPbLypKE0H3mQVlhjVcO406RJGqX/nYIlKO2Fm59vyMcD4qVENrYItlnEw7ir5fgcKshE2li9D6pQh4VpWDyp/kbsa/riOs9x7r1q3D8uXLMbGsn8SvGpvVsr4soZTIbXfyBjwpmh8MyuMHo+tkrFEQcCCBHhzK3IFJYDSj+kci2NbK+IEOABVBCy1ZVZyAKCUVlgC8874xUfMedqGA67B8PvolVFglAtBCCw6IfDUsoYMuyggNKLSSdoZQUlXwLgmGbwEw63hCImknqdoBWyxtSvyBjp3qSOUEwK2aVsrnIUBZNRTMzWAUreMhLRnGQ3QaqnbNK8JgJsdMDw/VboF0U74POIBAEWb9CMb5hCqQayUR/AlHkhBxe0oXdZQ9B3g1rJSKyQlpzeDouUHDfNCNYy2I31d9VqBVY4yMJzq81exIW3ObQhGi6BlSwT0VFRs/Ak1CYhm0DSBqw4T2IWwODEuhB3veZmhxBA8bCNBUqQbbIpUtMgbKSMJbMRU8tiOJoOYGjfaHWCVEYDcQsV5hHKFmLZbgoBwo8GQM9MKAE7JWBt9K4CUxDfRnVKy6TCrlsRAwJU4Stk6Lf8fCGArijEGXJbocJ92GvRV+4wHHUzmka0fSLixE8E2zFFBfqM4qg5vKYPoVdG8YK3zcuuFqCPsKUaRKh3aP6yTwRsMMq8Z9OlDpyxpuKge0YgadVFdVxaab1M1YF0nMQEPrOlpp+Cd5BeU35Qg7iUn8JmJzWNajdlBGHl4V4iQ8HtTJoYoKptIRZY+0K6s3iituBvVV0AOR6g56A1nC4MtewZUJ2Eh1DGVyAI2uRygxA1GgysjDUTkPCJWZmTCiN1KxMzFl7L2h+yN+qIvxG0TSnoiYjROAdb7B2wQPkEgjHfAqsl7SYv+ePIGyGlpE66AynqSDvLxULNjHRgSxhEERet8++r80D9ooyW6bFV2gg/pOqznXNnuc6IKdc1VZ8fkBQHBs1TpSQAGZlKuaqcOSaPo8gemXTcVH7p8uQwtNSvntDBR0QAB+XTMgGc7xpG5av/YQ/JVDKQRoZQSlRrwFZCIMDBkFkFB7ICBS53hsh+/KxOuzNnszBfBs8IKSydFnTKHXwyomf6r2UPCNn4wWhVOiWCFTo5oTaqkmcltTkpn+iNkv4oasBiO45VP8mxmVXBUwuvmtkBY2WioUegOl2bVYD8qIGYlKtWFiD62/oBlSCYYkkSpNWUMVco2UYop52FYA9Y6PWyUyAcLcoTzha28Yq2W8h1kYwQTmF1Ez7sqa2XWCJUM6dsxB4K1wLNToET23QMTJSmBiFTVX/NqSCAYtFx3us7hSGyOeRdwyM4OmPfRYsVlZPJviCPu2t70t/n9ubg477LADDnz6/4E1Ga9wlOJVWaQyNSAyyjPJHEV6msQOHQB12hG8w9lhxYOPqPm31vyglXJ2RCRL2TtY3lO71azIQqlQbgZ121BlCUqY/qjme7J6SKCqCpQkDVUyHI/QyYJ+hRoMY68zoM+DhHZYaaqibq6Bc6A0HTN70xFcFx+gLV69q54IXXVaAkZzUbUUANvFp1KKLiuo4ahZdXsSsR/D55imUAUbq/lWzj9o0Y3gB3zJOISi4PPOUm4LiP9GsPuOEu7yOhLLpeDgY5ImbO8dy/e6UdpMLLNNShEvEpqeEi8VaA036uGauz+7eSzrPUWDLwS5c6tBaYv1McAJgx6UgGM59/Fys+vyClqPKtYWyFIEC3gAfL8zC4JUKkQcShU8sevwGaPZ5yQzi7EWJbumRkluraBIHrSyKg3tHZ9ZmLLmdkRVx+1SJmJcxrDoW8GaE2QaIacIcE0tAFa/VYoxMsrzeNZAFEgLYD5VIQppMc06YUCesHIANH8nhic+AcJCK37PI6rnqhEfu18+1TANHENDXCeF8sRVavHPoe6SqPIZvGMUEE3wINibQDd2nRRkdLyPMAqoPPRwTM/EewZBJqESJr/zqTa3vBIbW1u+nTweo3KjQleOnxsAXyNHi95b5FYbhLtkUlO15zGpIYkL4jMZWjNdWSbOOEbEC0qPgU7j5B2SGN8kQCHpIzkuFt8zTcIYxpzVMIGmG3AjIaGQxCQmF2HfkHElFcEoRheuQVUDKhHvGQNUD5vnQqU2CXR+FzVcGAysFzFvmGGEMTsGUXkOz0nYyAxStY9Vq5gUiLw/z1cEryVRLgVQXjsgGG8mnHDq9T3W5ala7HKcjQGdWwx6J4VmkeQBShSQWqnI+rHkGlBq7N5o3bC3NiI2S4Lym3KEtSZDUilAZ9xrlNUkpDSHgp1hVc0gKhgLlJxUoNUVd1HJStOUJwrjIrVRKVH4NBqqLsSJM+XvG9GEKAGQBUiDkABKAyp8x3HpMrEgbZnnr5nOCSSgvNuA3QpZDSv5HhmQyQCT8XE6B6VSkM2gnOFsGVK+thYoGShFNviSDAFtAbIMklI6NIO5PGkTBj4FL5ZWlz0/CgJ1EiBJAeMBI86YzsOneSOY1M3EjdM1jJOqhtIKlGRQXmS5R6yB4JHy/lILRRboj4AsB6BBTvNrYVKL0tRM5eSsvxKVxRZgCcjH0PEgUJbzfSvr2Kc2IwXAQpFn2i0sUwKhQcZCQRKuzdEmzBJAsyy70hS9XYJ8OmkNPTfgJDlNgHbKYmGDgqm7rURkr3niD+XjGCGp07wiQ8Kia2yoJxRWY+BFWCsCb4XGrGoHN9WGLut4L+ClJJ8mfFwtLmGbhVGkHTNGwzXJrCQ7sboTAa6IGg9Rfjtoigy41WTWD5rfh3MAOIkK2hS+lUDPVXGyVCFpbYlQ1qhs8B1FFQGIMbkTV1dVMiYgapKI6FaUOScT9SuQJqBp/t0y7XUsoYbgUATHAq1ZJ0bwGEbAxWHF3Mjwq6bsPc5OMbrRpXGO7/UA0L0B9ObDyPIE0+LqUgBUK+fkXrtGnRW+qcgFpV6gmWzHqw21j5N1SGDj5yUp5jZCDWTcWgz7IGjR7dCRxg2gESJUCsoawEnSUDDeylsN1UqgQ3Ik4zYmHUEbJVT4FNOPwwKOEgMvlTAlFRuWiEd8zwQ6LhCregz4VY3zNiB0YtNUBAH+XQbsDqlo/EdqjG0UckMilpwveP/QAFlJaIsKVJSscTJQoCnGX4WRRlYzsyfkFYkVwG8NgNWnA97MtTlZN4VbNFZJwN/ht6Jq3ygzO77nUahRb/zzdrPQjH9jjrBlBQyGTIEShD0ABAVBLucJ2Mi5RrwJiCuvOMlVzYPYS+mNzNg2AX5IGiNsADFQGpP0DoDEIOoTjyW4qwY1z8QCUlmIq4EsWVQ+joJQ8lp0NA0P9HHjs9CnVor7t6JgSS0ZXCKxrIYFT0yhKpIlUWIdRCKuZTjjBiR7l/crMXya7zciVAISi5UZrbni5CmuainnlWNYWVNqI+008vXFNCtQ2SBMFlVU8drxBObjuYw75lIUMqOmTSHqnKo/jFgOaue8GpWKxXhp/4kO32nziris2CujP4pW5fAUJ3PfbQOJhZ5n8y/KUkH4g23OhRLIyUoaQZ4kglHBSZQ1UPxYqbdh4aiCV72hnNwIWKkI4PXtLHqfBLfhqJApoFsf+/isMIuxB33ocUflzeBDBDR+P9LDJ6N5rI6KCIgM4NhYvewNuMcNjEnH68bBVY51nP7qO7kwMiqW+5eVchhT1Gk1WAAg0jAhE5AWiwA302rGjpYKgAf/IX4460EJ1AHz46B7pRiouZgMBjAhXwNeGOkhH1vwJwqTHzO1SkCDgcjFZlSSLWoxiBQjvwCy9gx6hQsVKGqqfl5W97HC56Pvk7eBDVZFZguAppqsmf0R8TohWQjJZGLipAxAKMlN5QNj/lIA31cGOkulIhkzNgzjXJRtY1smYMQGI/a6KmSMC4MlHpcRcz/RBVLDkqvDMuEzcB1NRUY32/aZjQ7I8VqLE3IIn7DmiMtMFIAj0W3RcwP22VoYCoBZPLzylI1Ipe2qyzFH7ixho8TMsNeOUnAzHVatDnNlSIIkudJFDT0/jMyowCaCPI9gmsVG8M8K95NVhZ/kIFmAHWH/4A/+AM9//vOxzz774DOf+cymO8IaA6Ja6JlBcIcBWCp4jcjnEDLh0OpJGzt3goC2ZCWtB1bof47bTmFCy4WaWQrC3kvf2/mxwWwiSCu6wI7KBuykVawSKKFTxtL1ALFNxdUdGfhmDDhFBDVyUb8BzsWki0T4ysz1Qa0MbsUUI+q1JBRBI0OAZCRW35Qm3OKRhCG0ShaVHrX4gEScwAioqg1wExtYkDsfr2sAeynPyVAU1AreF7KKiKsrOe9QoqTpzhio0UcMAoys0kOi0875RyutOaaT5rx6LRyUJDRk8o0fa7/haKiVGn7pFIMK54fS2pBkszcAtIafymHWsourn8rZCKys4VuWHVbX9/m8pxMpsdZNy6/28aGnxwGxkIpXWfExtHKQAlc6xLtGD1hDAQmLqQGQ8SzjyGOsT80JilnXA83OQY8K0LIZaSuVfC7tnLEHw7JJ5gFhNXClQfWGLOAWkypu0QWVz3jModWqWMArtkWtrGgDPmVUw09nkU5JnhOUsCIPlGg1HMUEArUDGRba4lWuFw0VPm9dMNjS55x8qFERV/XRG8b5hhlSOyj5/QZvE6Ynu+YY2hnqqQzJ2r5obkibR/A4iMmktKafYFD3opAkUJd1s9jJs5h0hd9uXKGP6YvE6sSYQiwzRXhsqlHd0HeDwqu0BtgmQSrpjpgVElr2IlsfQLXNM6RpSzKGwsXF47j6sR4OY4XELNAiiADfY8EOiREmCQVcV5J0eQ894Huj+yMQZZH6HltERip/7YSTFzXWzq9q6MI0WBrnWXCxdjzuYoWuBQxr6Mrz+Aj6MnkCOz/g7xm5VvVY6zvoEWlWoo6CclnCiUnA0ZQ1qqU5a6hUPj5rQofCDNg4EeB2HsD70Vyc53+XjE1pVJwJDKoK42fjh9pmS1COOeYYrF27FmeccQbuu+8+7LnnnpvuCCtBowJqzBk2gp6CeVc7j0mAAkCUNLiSMWGrgBvRwddE8A8AYrlPjZh5oQaj6NrKFY9MMsQG+MXocvmhBoCW86AEMWFQVQ3SSfxBhQk1VChUWfHgkH/H6kGQO67lB1c7ll02QlcN2arVULVqKjrjss7E2BE2MUsFuyKAwtEY3Y1I2gMuThQsdGSaFZFcd4ybbPUGnIhI9k5KxQoRgxoTXn3nSbOdUPbN0lj65iqKOM4WovwZ7oFzUMPmHkW58FElaorg+yOr7IAX4ofC5luFBgVOQFZeNXuzEDKhX9bwy5eIN4fQJ6s6IuPJatiHeuz9MsWOvEGHwney2EYIRoFqMOLqS8T78D0N39O9EeqlbbjpDMmauUhtVlpD94cyTqVaFz1RHJzNoFsJ0yyHFd+3rbfkpHNh0ID9ygpo57wadJyQ+qkOV3cqwQfJAy94CYXxzcc9hofJM2ZdeLkmc33+zHDYYECk0qh7A9RLWBnWDOpmlQ9EpVZOhKX6U7FZm3Jy/YRJo5xrDB3FkI0SngiUFzBglgDi6kri5cIrxkRUdIfw3RY/oGXSdp2E8TGjCnZ2FEv+ZmHEQnTStoweM6HFMfa8f8JDa04oAJnUqzFWlmmqukHgL4BZQzWFmkona+PIc8rzWHPLutIKpsUtIFl9q4A58zwrkmlk2iOepXaM1bDNbBirtARuh9S+aWUQgfIMbipnQ8OFPt8jpXhsdVrQ/SFvI+f2tpofNAu6cUbasGielXHbDcUYCFXLOlZPQhITTD3VUOYkrcBlC96P6ZWxQqQXRnztp9twHVZ/DucerjdX5y2P6dqzyJ8RRpjgI23PQNV8HaslOTPRCIyFmmPDzCj3XzbJvVnXg1s+FStgcB5mVMZkSjkG0KOsoQYlzy3T7bjfjYnNCpI96aSTcNJJJ/3qG9AKqs0KixQGSJQ61hH05JdPyWqwjrQnVdWxokBZAmQ5r9TH2wfyYyOjGxqkKDpCmAxqWMhkCsY3hIqBp6g8iZQE3CnZdvjxZimX90XeOrQ6xqsSoQwfo3bc6hk2tOtQmVGegGEZsRi6L0lGVS9ekWRJ7MlTmkTHTuq24ZVq6HVpwlUbwc6QqpqHkdaAoOVjy0TuSayiWMs/7pxX9ioMXMHUUDsTloe0JEpWRoVUoxioXC5q84Tj1b2hVKma1hplSaNboTyfo/dsTucc41Dk3qjaRaD05gjzwBwUEn7wLYwArVBvMQ2fGlgAqj+Cn2kDpfzQZzqL+uvBmwbS3gEQ8TdajVEzjdASZQLx7QTGOaCo2C2304qTv50dinW7Yd2OgbQcewOoqQ47LDsf++VqJFTS2sMUFa+Upc0IuU8M/GxDGW7/aXFdRn/EExAhtgrViM3O9Nwg/k4pkQdskNTWjMsIGIB6aQvpL7gio7od/h0Fj5uqhl/aEQwVJ4PRxThNGC+TpYLRsbH0DoAnztpBWcC3M6EVG56kQglfVphumrFZut9QR0OLIzhOq4J9lxQRVK+M1GjlXNSggfN8z5WCWbuwiPoeFkqB/aLne0/UUN0gfG5BJNVhACTgTp9bqOCAG54HjqDrOrr08oo/4IJcbFX56RZ8lsOMS6Q7DyU6I9AAecWmkZXjJFMjjnHfTqAqLSwpE7VOgsMuAEAHnB/g2gl0Kcwwa3i8BqHEQpJAcdTmirMsanoDYKYbE3VFDXg2YqPkWQYgLo5DSydo8VBmGlG+cL6hclrWjMUSN2xWuxXwb5AQUEC19TSS++bZjwuIx6pHJVBW8Eu6nLxJ69WuH3AVOoyrQDsuaxjv4VoJyBjYtUPBW1n4bsaVRLkf1Mn5HqYWemEQFZd1xV5H8AQ3JcKMshCgxACdHATBw20C5u8p78VDRkMpWd37pGFHGA2ECUj6caFkzCI/msuuYXCWVZQeV2HVPs4ECu2iMOEDYxx1B8DGTDgCG62Oq1iVJqCqWXUA3FaiumaDKd9k0hSEiooyrgRJa/iZDlR/BMz1WESqnfPkP5LEoawYDFYnEXMSsAbKqaZdE5xDC3bJhXNAu8Xl2nbG1ytPI2CSLwBFXwi1IFoNabKossOJDzh5ErMzANBzfcYxTLUAmwKDIlL3lCdgvh+dW1GUnAQKkypghLy474aKVUz0srS5h6H9EN63BpQKk0PaFpHRQ8QMp80UlGfwnW7Tcqu5ZGv6JffLs5Tt5RPLD4P+iM8RiNoY1GbRMF1UYo9upErhGBQbwIZCzzTrejDSBqFWxpU956AK8OQxqqDnGPuj00SqVRlUsgwYFky/FU+dkMCTUcwodYBvWdhRGVujQbJbScXPTWeNeJxUK8PEz+qTUjVbNwfMTHEiCwCFiuwjOAdjDNzSDlMeh4oTDaDBQSWsgUKjAsp1+Jpq3Tz0Aw6nncF1M6ZHrxsBVo5L2Zg0UUjYhaUU246Dgv1/BiPQljN8X0Ylj9/pTmSTKKEH6/5I2rS6GX9BYtxDxOV0g0do53ytRGxODYrI1lPDkq0R7n6iRy0Hs5wamXSYDIGySpk4QEc/G0iCwe0w37bRV4mktRVYdQDiZO7zlGnpQHN9tLSVBBOlKhexTXoEQGuWoXcM3I1uu0D08QE0zLy0E73g+ShgqzSS++eYpdJpcQVLRAspMdAyFuA8Y9nG1XxDEgM+Vj/T5oT14RVmraIqLdkGfxISLd3rS1IjE7uArQPrKGCY7GzBi5N2BgrVJWl7UwB7h4RlKJL9ni0IWJNGQ421gWP1MhWtoIq3WS1t8aJpUMHMj1BP59BFDfvgPFdN50bs+s2ZKp9fUce2WlABDgaSyhNoMNzosfaUTlDIGCjhnsMaAVYyLVN5YrR9WTX984iPME01A1LqBRo9iKyZCEhWfqpi7njIACNgMIjsjAPAqhrIU+bYi7AVRNgnUoclIVKB5gyMtaV8M/hryaCThtkCgM83iOSEHmsiD+uxvibSpHG9DccWKiStLOJKKE8REOQB8wHPPg9BKyCetwlgMM3mbFpDL/Shgqss0viDh3hZUJ425zWeQQ+GQKBY1y6W2lGOVXiUYn+W4IsxfrzioklCRYxgWnEGjgBex6ZhLJVtgfke1ObLT6DqRr2VFR8leZJKIBK+RkGtMbJiirKR0I4sBtMwdSwzR/TCkK9fK4vVB7KMByFwVYumWnzvAsjRNBOkCpUAWS0pq6HXLbBxmmigkGJVzWDLrkSvIwK8pcUanIftnFTQRlXDtKsdqM3VmFDhU0mySIgNkN/i/AJUniNIoqu1szDWNtUWa1jm3ANmVEIJloUSZv+Q0/DdXFoF/LqZL/iaFiUUUmHp2Vhhpa7ojSQsPgYz1prttEAtBraGFhoyWSQRRb0apGYRDstnSaTRunYKpJbZWwK01SK97/NW9KaJWJtKsT8Pbcb2pOI2SWxNaC0TG/sWaeeELceVH7VQxXHt06QRsZPFWDAfVAS+Ns41AGWpOqGU1nftm6qh98waohqKEmY8qdDmp3ifudXOYzUkQhGPFeYEpRhEa0QIcFQupuJ3c9ZgcW2u6BkDXQtOcRwrE+4Txs5FkmtuB1nouT58pwXKOQHWWnNrMLh0t/NYseBKfTPnKEecT2UGLrdQzsKMakASN7IpJ9KJFaYQoIuSMTQtBozrUQ2XCkVegbEnw4qri0sEv1c6UJu1jRTx79B3MuiiZgVeGc+UGbi2jVUkFQDxgyJWWn1m2clhQFwRdRsvMviUTlD0cATKcyBN4mTNmArfyBUHAZ7+sHl4AiCSTDFNIlpZFcIcAWIPUXmKMsz8mUA9NrEXp2oAg1Es8XG5mIGk1GlJ5sz4CQxkJTyu2yGsFjWU1pFuJgrYRjwruKnSNitAjrj6sX4OKk25ndLKxKhKWBHtHEEdNAL6AOnpuigrHvQx4jEF2WKAtSXGWEHhGocEArWDSpT0zh2Qpw3YdVA0/ciACwirhaAzIKyfYDEOzUlHbG2FlUdRckUm4IqkohUZQgJqBhHb1HvbYGKs9K2DwJIPSqEPA/Q+geGWdqH9GHAwVLck2Y0lVXFoZTCqZ8dVKxN56OVLUutbCVMnSwPUgvMJVTxZrYZrFMGctgEEUujjp0nzwPE+siugVZRdV8F7hgwnekpom7mFWd+PDDnehwG180YTKGdMkssSXjxIuy+05/R0p6mQhYkDgGpxQhB8hJAslgBXzjNg2AjGKrZzRSFTgMlR70FAwHGCsYbbMSP5TWoTadbRTG0MdK36DKyMwOwg6w1edSvia2D6XLULrQ0YVkVVZd24ykoEWilq0VWRtnRo28YWVH/zJShkFLwd02xyxFRdJVUgD/49J5aTaEO8aACgS9b00dK6jNVkQoPPGKMgh2vKLC2K7T3UKlZJQTQ2Xqnx7gkmexqMV7FiACigVkjCEJMLaZUGZhAzlHjM6vgZ2ygSB+KCgHGDqjK8YraNwEcinTwKteXxPFVYFIYEI5AfvI9JXdTuCs/1hGnBdccgna2klQ1QLtRmYMzs0sIowCgVnw86bAuAk/YPaQWdWq6EgFuJ9UwGXUjrBnx/dOVQTaeoV0zJ7xzx+2TFOqOWxaJrFk3scC2tunzjNXye0gkKgNgTi6ZkUjWAYzxHbAmgadOQ1lAWQH/ISUwra0R6EsvJR1jBZdxLZ9Q2VwKiimVQogw/lFCSDfutaxZka7ekFaUixkQVAI0GUGkaQaSRuRPAqeHYRC8iJFcB2U+tDCgKLu2F40gsSDkGajmm+prZHicWQYTNi88JSRtJWjGcdKlm1eh8BIqF8wtlZl0zyCqulqX6E91ka9GTGZZAVYHKkhMRAXIpjyicBGug1s5yMiamYTCGJwNpUYxjW2KLJ1STxhkNkjTyNXWN0ZqUkceBkarejKvQCH6j5gEFIFi/c3WEHzQmvC9gQgBNG1ASHJJWQrJ+KFUJnsR9amD6JXRRsbtsi1VYY7IoCakK2KmgBZFbLlFLcqoXBqCyhEqE7ilS8VHem0g8O4hp/ZYpjGG7PrUwA04o3VQOVXkRs7JQtY5MD9LhgV1FRVpmHGipbjQ6FdQNeDATwdOxZx+AuDPtRgVUKSjHZoAAmnZTYnkcC1U90H+ZBsoTqSoEkwI0mINRAZpqmGWhQhipw8MK1M6YCm5YaVYPCvh2xlUAkopXFVqkOlYJdFkGHbOm7SN+RnpQwY+3F57gULUHwhxDQoMObYt2toihw4BOG8Gxul+AZlqCyZDtuaY9EnEXiUX4ABnRQykrbkt4cDUUWJTcs3aKJO5QDUA2TKKpZRuIgJ1JhPlpNXzC29FynX1mYPsVqEzi4pSPI2zTN1VrrRdRZ/n3qBoafc4mkD4x0LVnhlo43/jbFnn8vM2VHmukNcbVn6gpIpM9KQVVU0wewm+H9ZSSKNngMg0yKTN9Eg2yig0YpQ2miOCtRt22QvtWqJa14S07eVujYXul4EtEK8lqlEszZBWz23hfnKQE2fvAkAUQtXJCsrYpDLSndoJSVtDzAwS79shqCat8o1nJTxxWuSTogTyLniYkpXJIkkL9AbBkuuGAaw1qcTWAFvpNIkDEwmZJIqUyBZruNu95DxXUFocjxoxkTevDT7ehsgSQnj2kmsHgVxcF4niySKDnB1CjEr7Tgp5d4Aej1lCtVpzEKUtjv9+30sYSu5VHbI4K7bBOqwGWGhFCIwIg1ZBwvSTUwgA0JUZwlCLSpUXUJ1A8AV7JYjhqeu3dNicswxE/1JdOxwqOKhrH2pgEBp0Xrxr/jFDFGUPNB40YSmzEw0SmxRibKtC5SbOEdGjbYX7whAzTRwwZJxRwM4CUc1nTQUF8P4Y19MIQvsvupari5NN3c1CWRNBn8zD28W9VOejwwKhq9qVJmnsdgHw8ocvqLOdJkKSCEfFY1kBVCiSqzZRbmEEBuASKmBmjIX3zXLQkAshaVolkNPzSriRdohUiYEPdG4I8t6OiwFYu1bWgj6HEmbis4fMk6uL4Th69XSJ1X8DQesD4E90fguThGqo/JKqdETNGFNvBIQFEzRWCKPQmGDSyBjQzBT+VR7O2mAh7iPpmKnRcB5+CWT9WNDu8tMjEYwnOs/JvqiKWw+cWWuvIJvJ5Ajs7jFibzRWqrKHgmglHKSgxYYyTaKDLEy2alFRRNmJ7AILtY6hyBfA/VzrRtGlCEjIoFq3AgxhhSIC81UA+BngebycZEwX4KLdwrQQ+0fBJU/2wQ406Z+VhbxWsGArWbZ7g7ZDHpq68kAOa6kE03gMkqYC0RxR8wm0xXXpoR/DTKUgBtl9Dl+J/0+IKhp7KOLHQ7HM0PrkrAuyQ20W2X8NlhrdlFHTp4S2fZ2zBGKBONfyMRZ0paAd2bPYEXRO8VfCphktVPOb+lha6BkxJcDknH8lcARVsLTTrsNQ7dTmJVoCuCQlkQR+qweB7oArHFbZQtd2EofvUTlBE/4IxHj62cFSY9MULBIF5YgS3IG0aVaPptQ9GghpPoi4Nr7QZG6B6A2m/KEBJWyFoeYQSXFjVDEcs+LZ8mn8gUlFRo4IfhFXNGXzwlpgbMCMglMBDchXs2PsyCXVa/HDNsyah0Ep+yHKuniLQDFqDlk43pmPhOgWqmEzwKk0YlFfVi4zYIgWTRO8lMIdcQI3bOIlFiqHWUd9EjcrI/ecJUpKN4EjqCairJjmRqpTKUlnZCIhrvt+0qwSLMd5CUOL8SqF1FuT8A2AsAlEDu0iUIDcjSBYO0PP9eA6UM5Ynrv6klwvbmJ6R1awTUlZQIxNBlk40PuzcMCaXob2mIj7JxkoCjxUfmWV+phtBh/HB7sHVM7imgkhcfmZshY64CBZq4+qDHrFeSwAtj5ffoXmlaudHi8reAUsUBdcE/BytJxLb0P2rmoHgwSZei6NwO48CgxEkHZLndtaw1aqaq0jxAc5SAaqqgUJYep5p3mx65yPQGAGPFmjq1jTu0ja0kix/L7hDVxW3wRQzN5glpRm3IqB9Tgr583rIYHff6jTiegLOND3BwOUJY642U/hOCm0TaUO5BkhvpWVpbExOIvslESYWSZJZVQLilPtgdcSQUd6YUAKI2/dTbdm+waLWSQDCVg5mUIpYWPNd/j4vCFw3QzWdor+VRd0CXK7gMj4M5QFd8/PFjPgrUIBPAG8B7QBdJCALOBl+pgRU6IBY/jzvl5MD4i4oT+Kl/F0A1TSgK0CXqSQ5/H/lCS5V8HJMULwt5Xk7ugDydTbuq5ziKl9omYWuddVVMCOCcoDLFOo2H58iwBQ6bju8pmrAFEC6QBgtV/AJkPQVvAXSpRqttRam8BhswUmUy4DRcgWXE3StkM4BnTUaIMD2AD2oFgvmla6ZgzpjGMTHiKd0gkJJAtJjE2c21sqRloki4oedtE0i4wOIuhwIGAfvofIsgmNDxt6wdixPhlkiAFNpH4jPC2le8StpdQTLazgRaRoWfKxBHI4oorTjcQdtkUDdHSvFR0+LXMTLgpKrprhi5J6wFwt705Q+A85GEqX43bBSDrQ4YUWhkEQla8WkhxLb2M73B1AhQRvXeAFizxw9sTwHmm2Id5EqRKxLvI4iRkgqOwCacn2Y7AI+JujAJMK28NIKSiyv5AJgNpSKQ/uNiP/OpFVWVY/f4HyMUMTUYVXWG7ABoDRcx7IuhmdsiR6UIJNGfBMgq0utIysgttpCIuY9IkNBWDMQvEScwEU4ymcM1AwqnronTqQmaVaH4Tth2yERdg5opVwZWVeAev3FY04p+G4Lqqph50bNcaRcVo6YFQCulcAOikZUsHZcoawotqJ8O4PuMVjYdfJoxUCBtRVW1M41GAPRxAgMEjUsmhat0NWplTHGQRyMYXMEzxwoJdIABqQTmLUL4itSgLp5FL5ikUYBPCtWQIWX61lygh4SUW5T6sZZOdBz2xmLaWXc7kMtbcDBiHVvZtpA8BXaHOGA4ORMMIDyUIHCT2Ka5xtzOoy1P3wrifL/lDXuwoHlUa+cge6VTeUk4KOsjvgc9n9RzJbJeMK0PQIqlnPXysWkWIffl2Wl5bptsbC9xfyLBthi6QKm0gK5qaGVh9UeqXYY1Am6SQFPGqU3mC9zDKoUiXHwklDNpCNMp0OMXIJBzc+Tti3RqzJU3qBlKwzrBC1bITcVBnWK9aMWtmj1MawTTKUj9KoMRAoeCrWYZ1rt0bIVUl1jUKfwpOBIo/YaLVth/agFowiOFEZlgqmsxJJ8GD+/dtCB0R6JIsz22sjTCql1yBXBao/SGbSTCp4UtCJUXsN5Das9OkkJD4UpUnBeo1+mKGuDEkCvtKgri6nuAhLrMBzk2GbpHEa1xUNzXQzu7CCdV2gTwbfsWAvaI/r0SAtUDzY+uX5KJyjcUtDRHhvOMZNEpIoj06GsokdIoEDGEFYOshQYjhqQrVIN1sQYblNI60Il3E+MQlKxHym6KEHNL1R3Qkl2DPUevhek6bmvnzRKqVpHmfEIxh3HxQTZ93AuAuAjSbACwFANmZ4YctZAR4ZIplNiWZhOkiAVJvcxSwB2o5WWk7CEFNC0WzQ1MvWxNTDWHgpA4FBdAbiaNBpBuYSvLbAYYBws7pVq2jYhCQy+MNY0Zfrg9BraFQBfx4cr3eaZtP4exiZ6oqP2oI7oadTy49XgB/zCCGTbbJU+rOA6jVsoGcM+REoJViFgbLj14FvCQnEEPdsT/YlUBNFqnjgCjkomddMrYOaGDQBcElffFXXZopZkfcS4KiK4lTMIXixKQLV1N4XpJc04zzgpUP0Ri9AlFro3aO6p98zgEkYWag87y203NSob0KRMMhGoXvJ5+G7GCVWFBhMgyYkaFvEYQvnfddrQ8wz6jmBEo1mnhaihcwPNoidoIUlSwYnCADQ3Dyxfyp+tnEialzFxo3YmrBXLLseligsilSbRY0ePyqhXBJEuh1Yw6weIFgWQCoOw0rwIxG2u0GUNpQR4nGmg5spXcL3lBMRyYhkk/cWSwSeG21bDsqmGGMbf+EQIDK2Ehb2CYnEUWqxAnYwTxjHarQ5S84L9Ga++BG8kJQrWpvCo2gpbLZvH7235c2yZziNRDhUZDFyGRNcYuAy7t+6BAaEig3nfwgPVNBYct+x3zh5EohyW2x4caSz4HAuuBQeFJWaAmxZ2xpJkgB2ytchViRGleKiawr3FEmjl8fzu7fDQuLtctui6ZrrCFnYBueLEuSSDgc/g5GaHY1xme1hme5h1Hcy5FpaZPrZKZjHyKRJV485yCySKfyv3VzOoyGBFsoCt7BzuLFegIoNMV9gtuw/TeoR76qW4v5pBWxd4RnYf2rrAj0fbI9cVclWh71NUZOP2tkvXYsG3UJGBAeHGmR1x7fpnIBloxsVUbpEnEM9xMo7bGah8igi1/drhmcJHAFcugj/FGIsGQONOHFaW4e+IPDcgpA2DAWjAPs5HsTGMKmZIBCqwoLdje6fwiyoTalQ25W0gVlvCBAEg9s5hJOkoSgaOaoh4lZyTZhYFqrqx447eKNLfdZ57ggLAjBiDQPcM1QfDwmi8XTStEWtAQeI/s4v73IE908oarMcYg6LZv2owNYlt/E3GcA+UC7NKcCUqmNB1Wo2yY6gGhOoHEOnbABbTA2VbalQKbqFRECbD7Y6QdMYEaZxiuBlCEbEsfNAvKSsE00JKhYYaKJGDqgHVETN36m7Khl0Ag56DRPY4TmJMH0QNRhj3+AmJXOO71IwhOMY6AYAeVdDre8yeme7wb845bjdYDSfVHTPXh2/JtZ2eioBVedZycrN0KibbIcEOqqw+5daIWZAEv6p4ITHdFSq0JNZ5BqybY3yX4BwotUDJvy3dG8UVc1BURs0VES2YKddhPI8uWN1SD0ZAUcJYE+ncAD83gj+QHggVWYkg4ozg1IQppjzBL+3KWK/j78KIDEK9ogvSCslansij8FqWNK0Npdh4UZhScE1bIjIpage7foCytfke3T61zPgwTH0NlV3WGrGNfpLgSnwuWDyixnxSno/cRk64Cjg/jG11n1sgl+RuWEABcEs7i0HjZKK8A19H1SwExdyR20g6tsp05ZD0CHPDHBXxbyZRDlN6iEQ53FMsxYqkhwXXglEeGh4GHjOG39fKI5GeTt9nqMigJItMV8hViSVmgANmbsHIJ1jwLRhY5KrEymQOia7RczlS5bCm7mK7dB1GPoGDRkcXSJTDrGtjltp4WvoAcuiYBI0owcBn2MrOYUQJ7i6XY2Uyhy3tPNqqwIAy3FasxNbJejwtu18Siwxb2AUAwJQeYkvTg1YeC66Fp2dr8Iykj74kdxUZLLgWfl5uie2TtejoAm1doKMLbGHnYeBRkUWuebtTeoiH6mkY5WAUIbgW6qKGmRsCWkV7iaDdws9fA5dtfGv9qZ2gIIDZxiarUH1QknyIT0acnJ1nvn5QIa3LRtDMGm715BlPDiLUFKsYsuojYYIsoiIDDfVYjmUR9kFKxJz4jE0ioUqQJ02/1nuQTQDoOLFEPY80EdEijShZL7gaBMDlWOsq4BdQl6ARrwoDkwbeQxVgwGuSNZLGoQIRWE8Ble2qhqVT1XxtAZ40tAFcjdiEdZ4prAEDMi6dX7OJlVo63YAbi7FkITCUAohUjyVbtqF3B/xN2B9LjQtdTyzR1XAMjxQYByFRoc23DK2nMth+I+UdvFiM6IroYQ2zdo6Ps81tMerknH+UDKxTpbQT+gWgctRL2kjun2s0ZDotTnaUanBVggeidgbfZQ2PUE2BaOMw5ohZPGpYsOBZVUVgdhDX0vNDfuB0M2ihGMaEYK7XUHJDouQ9qytrQBU16uVd9mGZ7UOlFn7MqgLWchIeWnOeW7XUzjlJkwQKQJQX90u7DYg9tEcTi9EOS5A9OGDly6k2fG75Os8wpkGvW0DwtKpXTEGXNbSMfT0nFZ3QHg7X0gZaKlP7g64Kq6OKXEGe8jVNLOxDvZiga0/w0y24zMD0K8YXJDLBByqyl7HquEwe27wZ/5682XwYlABiDhNPMP8k0aeJhpMh4RbxrnGxucC0Cqq8DQtHlGgNuIXTSgCpCCpHD/PPqeKkF0DhajSKCW8A+geDSj4mDTsizPZzrCs7mLFDeNIoVII7RstR+ATbZus5aVAFtPLooERHF7h1tDUS5bAOHbR1iSk1REcXMVHJdQUPjVQ5rPPdWJkJiVBbl8hVjREl2MIuYInpo+8zLDgey4mq0dH8TE2Vw6zL0EeGvs9Q+ASZruBIY8oMsQ5d3FmswDbpemgZCzNmgIosKrIwICw3PYwoQd9nmPVtrKlnsMQM4LWOx/Tf9Qz6PsMy04OWJGTWt7GVnUNJBrOug1yXyFWFWdfB/dUMdkwfQqJq/LxYiUzVcKQAw9gZsprF4OTe+8Rw/UeqkHCEsafRY8ZTPkGJK6YwEcpKBIkBKqH0jmFKYlvAE0j52HYInjfKCzsnTILGND4gROxCPByNCZ6pRT9GAA0IFYjVnNCaiPgLHUCGMrFqzUioAC4Tn4gIHgWaikXAE7iAmjdR7yXqoAA8SQNRk0BZE3EdUW5eCwzbalYklL6/EpYBgMiQiS2cgO8Qkaxx1d2A0VFBeC1gAwQHFPA6GmgeTDL5xLZLPabXErAxMtGqwagBvgJciRGGhSqqxQqPhZjdWRO9hHjQBKR90xt/okM5D9fNI8pf90o26Boyy4FSC7d0ilsjqQWIf/S+lcAsFIzbSBPUM3KPBwXsvGCIgi5HwEIEMLEnuKk8rkz17LBpu4V2YQC4SquOrAFtuwWr/3oPzM5DJwn8ihn4bqtRBRV7ea01mxV22829UQp+6RTT02fFN0cYW+FaEACyihNXzdUNGhXAzBR8J4fGoMGkiM4RWkl0C2ZGWN1UxapaAMeIzAtVO5jZHrQ13A5QwQZAAwnjcpK7HuRr1+H/U4sFBikyUnwcZ3H8lvwb03M8lseTMFXVcDMtGBnbbsU0VMGqpsEkj5Ti1pKoA0djPaMAxdUWn1lWMi1r+CxhavLmCo9oChcYZOwsDBAUdCUJpVSXdcn4GiU+LT7LBKRuG5qwUk07tqygjAIcoj4JmYZSCyWU7AINlseL2rAIp0Vxt7BtAX77loF2gBtYzFU5NAhdw5X2aTtC4WskyglGwyNXFVKpmCyz/XgJOlJdSOCgtceCb3HVhFqxvZKrEkZzm2jkpRKnPPo+w3LDlZGOLmBAWPB5bKNoeKypZ2Krx8DH5KXvMwx8hkQ5ZLZColxstyyzPayru5h3OZzWyBUnNACw4Fq4r1oCkz0IAHiwnsYdeoS1rotUObRVwckLNEY+QZ9SrK276OgSBsSJlM/R1gW2T9Zi1rWxdTKLiixqz2BnlwE+M7ElDI+Gju4IilyTxG5kPLUTlAB6DMmHoMVVWUENBK+QpVwqDjb1YcKT1Q16AyCb4h+F1jzBBTGrogLlskoPwmZ52gBQQ2IiWIfAWlFSAVBl1TBKagcEgGnwoAnSyN425zMGEG3cjllbxU/ljP4PZdKAk5EkBTWizkek/SZWWgZ1Qx8uK1BVMSBYtE3UoBAqrlgACE00PoCqGs0qRBLBkFiFNsz4eRflGBhVsDOhfB5UDkfSzlFKjmEk/fu80a+RFTUFfRknrZy2UKfHwbBhUhXMBWzTtgh06yAhzo64j+/w/GWhixqwvAol1fhyQHyL9PwAfrrN9GJgAzplqPrpohZaKvt/+OkWdK8QZVQOCgydYcGTrUhcx3ZXb8CT8kwnViN0uH9FCb12nlsuUx1gRn4r/RFops3MHREQdFuJm7ZsE60c0f1VhORoaYdLwNZEbQWyAWCaNHL0SkHlGXwrbSjjUv6n1jRXKcQQEUBT+QmWB1LhC0JYNFbJUYUYvSXsFaWMYQmBqU5zf+ZE8C1oAgmrCJ7gl2ZM8V7fk6pGyu2qomIskGeKOOVJo4URtjtippoGWIWzk4bqOGOHas/tu34F3R/BLevAW81qofLb0wsDqI3XuvrNhxG11EAGqOUZ6MELHaOgglfPOIYmtKWVipolXOki0bIyTXXYS/IhLCGSxVEwGYwWAeEZqiEsSwHUi5MvU4t1U82JxnYKpbexkpCqGluns5hzLRQ+gVYenjRG4NYKAEyZIUY+gVYk1RGLChYlGQatUoo518KMYWVyzwZCKKWqAQAjsqi8RaIcRpSgrQWMSxYlWXhS3M5xGWbsIFZUEuWQqBq5UphzHbR1AaN8bM2MyGILi4hZmTacfFRkMKJEEiCDB+spPC19AAu+hesHvxNbUyPFx7KNXY+flVth1nXgobGFnUcKhwfcFABg+3QtUnh4aDwtfQBr6hl4KBZlI4hBK0VKsQa3oJXnytpvVYKiyhKUdyJAMuIPwkpcG15x2yA2pmOFIFKQjWkM/yS8GHJxS4cYRBqAtqKfAGuASnAuQY2WCNAGfsVMsxoN0vZFyQ6vWZBTFhaBtYs1V6Y7DY5FmC6UCwNhQdx7vY1mfqp2/CAGQEQgT1DW8udkEgtKqxEvYjSUzfn7RRmdmUFcesZA2k+yqtG9kRgfls2q0jW+D2rkGkyNaA6EyQ0AaMlUTJgCxViR5gd4YnkyI+KWTe2AROTogx6GJFhkDVOtFwZR7yZgiABElVjdHzZJmQCHo6poSE5qB6U24ypUa+5CFhXMoAC1Urh2ynoBZODzbvSAiWaAjhoJ6SDaFxxZxY6BNTgsABsf7D5PoBWzvILgG8aqSdTKmOWSGE6WTZMkIyStQbEXiFRc3S9Ykl38ecw8Ax/9Fks40QlVNwCqKGGsRrm8xd43sz2g02KsQWiFyvGphUGsiEa6NcYqbpUkA0FSvhIH7bJaDJa2zeMt+rqEiiXAcgQjab2kCdyybkMPXr+wiJrNbruIYG9VCaMoZ2EyP9Xi9mpYKMlEGNVjgyCc1fCdDidnSkFVnqsnRoNgmwd7UUnS42CkReFzFiy0IsK4uYJSXgyRYfp0XISJ3w0Zg2BSqQK+Rhh6PrUNW8l7qFJaMLWDEnVhJb5pBAjIlvFZJIJqSmwWFBBFDcloxjw4thhYNAl6AFbGYe2ZYms9NAjr6zY8VMSYVN6iQIIVdiFWK9bVnQg0HbiMWzmkMOvaKMYqIwDQczlyqaBUzmLOcWUl1xVmzBA9l6PyhvEtysPTTKxyJLpG5S3W1210TYH/Hm6BpckgYl4ATpLury22t2vxi3I5FhwnHh4qHkuIta6L9XUHI5/AKI+uGeGhagovaP03PDSu6T0Du3bWYA4tDFyGrdNZ7JSsgwEf2y7JA9jCDNEni9xXaOsCy3Ufd9TLUZLBDnYdHlTT8KSgagU7JOjCiaJs3bTUgYaK/zDc4mPFUzpBCQBLskw9i33ikHy0pkDaNyuqYqxNYblfHPEItin361EZ2S/jYmXR06GqgQAu7LZ5XwJKDFWA0BJxUxlMUUKlCSu2RuAqxdaJDoqs4JJmwLSw/gM1HbugjplnvDJc6IOqClA8gaAo+KFcCZhQxOuCHDwNhywXnkrlw2j49hT0+gXQ7DxUtxN77/Hcx8Ck0ZMo6F4EmWkNIOAMQq88sdBEXKYPgl9UcVVLkiUdwIChXaMFFyT3hLpiCFbJffUEgGLlRpU+gnb5+1zmjQlNmFS1AoxoYiz0WVAvTUCbT4yTS+S9EYK3EBSbiEWPlg67tur5IaCYEeISLvPrshZMkLTkBGRLRkOL/xPJ5K9q3/TtRaqebelVc92NqHOWtSRBI/iZDk+yeiypDxXLqobv5Cw8BsCnBj4zMCMHu64EPJulqdpDDfke+24Ligjp/X1QK4lOq0HjovG/cqBRAVq5nIGtRSVJCnGbCUC0rBD8gZqro6IsJQqopXImv3WfGmhpm6jBCNTOuRrpG+0iamXcohJV0+jCLcenCqbiM8vJLMJ6BcuIyBocFfHzERdnDXuZ9EaxcBeuN4SqH8XKiB/o1M0bAbLUcDITNIQe5sXzvve9D6effvqi11auXIk1a9bw+RHh9NNPx2c+8xmsX78ee+21Fz7+8Y/jmc985iYPXVU0AGySUn78nabNlEI5J1yqED80o+P4BlHEn1ACqFoqK35MdJAIUKZRppXEg1s9skDxgIJnJhcg1GfNM5sT9+iyBlXiveQ9gBwghZGzWFe2MVdxlazyBlp5bJ3Po2tGuL+awYPlFPoienLPaAms8ki0wxI7gFaEoeNx2zIVZqs2Ml1hfdXGVuk8ei7D3aMl8KSxMptHRSYmIw9VXfRdhl6dYlCnsNpj+9Z6Pg4yWFt1MHQpCp9g6BIU3mLb1ixXeeo2kAE7pg9i1rUx5zoYkYUnxpYMfIp/6f0OViQMkE2UQ64rZLpCpS1+PNoec66NJckAU3oEB804HJ/gn/u7YQs7jy3NAraxQ1QEJPCY1iMMKMNa38F/DrfD7vm9eMBNYda10asyqFLBFsQqtcGUV4lrs9DBfWZghjXIb3xr/SmdoJAVX4QgCy80PGrnwLrZhmoY2h3yN6VJIxbWErdQWalG19Qg4OZ8TD7gPQPqxFuERcHGGEFE8N02KGNDJjW7wMyAdgYMpSqRy4QqEwS1c14p9YcMzg00XxiRmfdNqVQmcC04DFVZFjUTQSqlFPzyJVD9YcPC6A1EjVaoxrU8OI0BkYEeipz5iqVRr4TGkrXQrlGhXVOMJWbjmA5hGC1y3AWAqQ5Xe8b0UiLL5mEsJDbDYu0UVTt402ruHxDxALHVBDQATyDq01BigBFiyynqqQQ9nOgJ9BsdjpsUDIB0kY4a2QdegZSGCdTTxMaHf1iR+NxCFSI4qCy3hWrPE37l4jlraXkp5+FmOqzFMZ4M+mYcquA3JccR1GvJKKhCmBLiEK76Q6CTo79DG2WX753LWOgpX59CeaDsauiaYId8nau2hikZ/OhSBVMSS357gqkaMbe0nSDvD3ksBpBowNCIRxPTqdvcqhmMWVkk7A9DLRm/Ul0yBYM5fTttDOA8Yms2iAnqysF1EpiiAbpTEPzygjXTSUNjNhqqz47kEMXnuBjqD/k3JtWmqGprOInRRRWTpdgyTS3UsIKZE1GrUPkFOMkMtOipHJjf0Kbhmc98JlavXh3/b8YwVmeffTbOOeccXHjhhdh1111x5pln4rDDDsOtt96KqampTRu7tY8sGU4SFXzLwvSK+PsMbbUw1igRmQGrQY6isF1wKg6mlYGBE838tBIZdw2I8Zwuaq5s6TEPHWLDO9SOrQQg1dxQxRO9H1KALQid2xLcNrc9bp1ygAJUIdRtAijxCAJyqpTWUOaB1ENbD18YqNSDBhaqUqCEoFp1/A56FqQJyDyU9fycIfB+NEFrgqs0yGlgpKEqJnVcnxCUU6C24+QqdQApUKmZoZR6dJYMkRiHm6Z2wOFb3oxtkvWYMkM414YHYefsATxYT8ORxjbJLJ6ersHAZ1hTzyBRDkvMAI4UBj6DVoS7iuVYkfSwdbIeRhHuLFZgXd3B9lNr8aBLscZNg+UaFR6opzHwKebqFn442BG5rnDncDnunpuB7Qu4WcsCynv4JR1O+ss6OhwrR6B043vrT+kEJdJ2BZ0dkPV6YcitkzQBtTOuEAjIMsrhVxVUS9ocZQ01GHEvOky0EpQlQJYs0mUAEFH/EQchpU5VcwsG42VnJ8Jx0haJUvxhYpbEiisAAtbtDbhFYoVdFCaPANaTMr+SdhBTjw0nJLFlhCYhCBgSYFFJNqjsBrBu8ERRznE7ITAqogaLYHmCrkYADg5kCRMk6UOVQ0CzEQQXqh1S8lbzPU5qgr6J9PEBMMAzXPOMpfsDc2lRiVvYWRDMkRqW7FacJA02pRhGIT6mcSug2HwlFDIKvtXiKoQWg8CR4Ikk0Yg0PXE5Dr1d385kFZ6KpDp4wvCSpBnFOBSgoX5L9QBZyuXwqRy6V4iMvGkwTc7xpCraBWxGKGM8TdiYsq5BicaDz9ZI9piH1h7ttEJZG9y9vgOQgrIVyCtoI3Rb61CNLJK8hncaShGUJihFKIcJC285hfS+FDsWy2HX9aO6LLRZXA0DIt5IVXVjIuk5uWVvnSSOxeDv4mdy1pwRheZFbS5xPI4r9YBVa2ec6MiK0HczrmoFkTrvodIUvsV+J6ygaYAs4LSYrq+GJW+jlUa2HmUpJ02SjJJC9IgJZRYWtxpjoch98nnTkg5hrcVWW2214Vgjwrnnnot3v/vdeOUrXwkAuOiii7By5UpcfPHFeNOb3rRJY9dNZdAOkXmnjAJKxqSpISvE+mmpPnkP0houl8RCEk7yTUKtSk66w/8DsDIknDFBh2B4ilIYk3JAwtQJKru6rKWVlsVkR1U1zMIIPk+Qry2xck48bjRfd1PWMMMaxbKM1VaHDi7TsEOuclVdvo8utfCJJNYj1vzQFWcfPtUop/m3ZEcASANKi6Isf8cbBVNQVJdVNUCGJep1DeQPjlB3E1RdzUmxJDakFVxqUcxMwxTAfz13Bt3nFHjBkjuxe34PnpY+gF9Uy7HgWpjSQyzPe2jrQmjQRqooJbbSs/jBcGcAQOEtVrXvxrYJV25GlGCP1j340WAHZvKYeYiIB7YwC9jJrscv6iXYKX0Iy0wPPxjuhEQ7TOUF+lOEckqjFRJGYVEF/yk4Bz3ggoKpNl5k8CmdoKiqgnLN6juaeSUWCP4vkgyooowCamQNJx2BDZCI5kdwQO60GjyEJAbMRGGp+cDfj9LZAYg6ruGhFNzSDtMUvVAFxwTLWPtEN6JuAKLXTJgskqSp/ADNRDxOLZYVmQr+5rKdQDtmsG/dnGNIdgKGQ/AzynMfmFkjshoMVGthCAUrceV9o645JlIXPG4CCwF5ypoVohgbKeDhmMO1Dcma99yeCmBWLw9nEa2jhR7UzHQDoA2rVaUQXZCDQJ1cu6DxolTWGI4VJfx0GxhtfC/0Nx2qclBKLNZDEhnlwXmCVFnCuBTRmOB7CwGXAr6d8EMvMTCOeBJ0CkgtT4weQGyHVXyvWxnUfJ8xKYCAadOmmhXogCJM5hMDNYYH8jNdwGqUy3JUOxQ48ek3YKntI1clOrrEmnoG66VnP1e3sNQOMGMHWGIGeLCewjLTx0P1FGbMAG0BAN5fz8CAcF85g6/91ypU16WwD3rGVmnNlhFB5yWx8FpUKouKj8coftArFds6TIFloLwa8T1vjNXksRcSDHFCV7WDGYx4bISKHySRl/GvByWCK7aq6ui/pUYVt4d8Y+rJCxIH3zbcgnVjNvStNIJDg0KymR3Ad3L4dgI7W8ffFrfC0PyGiZrxMBY/+9nPsM022yDLMuy11174wAc+gKc97Wm4/fbbsWbNGhx++OHxs1mW4cADD8T3v//9R01QiqJAUTSTyfz8PA/BUc2meeP+T3Jtgkijl8lfOwZ0q6JqJPEDpTiItBlEy4DgJh1o26Q1t0ODareMY99OYytIOU541KJWkGCWNCd8JNozynMir0vPysninxME9dp3FXFsRDXU2sPOqQbEC6bPBkwMAOjKw/ZK2L6NeCpd8vhjSwpml5JWSB/o88IiVMaDSKOcqxlUSGYN9KhqKNngVmrnPoW6ZTE7sMhNHVk8HV3gmem9WOOmMaIEuaowpYdYUy/BgzVXyLawC1gAoa0LzLk2dskfxJQZsmYKpfhFuRxtXcQqzNqaGT7LTA9LdIklGrilzLB9shYLPsf+7f9CW5e4o7cM99dA2uP2G7fteEEVsV+BeWkU1MJvSYICoJkg4wRHgicxQFU0wLUA1hHdEgqqqCEJARrApRc33ODTEdQ6w+fCSiZQhWsHkADXxlg4elA2Ms9hRRbUUkNP37nFmiVCRY6oc5nUVVU3Dpkk4FzvuS0kyU588AJcEhRdi+DUHH1xAgVYrgdfu0YuPfSIo36LXFcVzlmjUQWVVlg4rzBpqkIe7mkqvXnVDFKhYZNWQDtvXI8D22psAmEVW8brqG6nabdZBjfTYMiO0EGNNEqHi0FgSxhKgDycQpsJ8FPt3/hw3NggceBFmvCKjJhCrArHGBE1Zt8OAfdZfhirfsEtymCkKJMdgMZ+QfAZ9VTGq5hCfJECmDmMN7l3oTIQWk7moXlAa+hcWHGegOEAyhr4pVMopzTSfIStk/XYIVkHB4XleoCt7Cx+Xm6JEaV4TvtO5KqChseqdD3+u27DgJDkDg+6KTxQT6GjS+yYPoSOLrBbfi+uX7oTiqUrkT2UwwQTP3AVKTppj4OkgShopgejxqJCMGSUWbhOBl3xZOFbCUxfngtBcVpUeANg2OcJ07jDfehkUS0WQbtIK7iZDq/whSKswADlINNOHZasD0mfDvL6WRpxRRG8L4sdvTAATIcnzEERQaeAgyJeNOkBwdeLE5S99toLn/vc57Drrrvi/vvvx5lnnol9990XP/nJTyIOZeXKlYu+s3LlStx5552POkbPOuusDXAtADjhSy3IoxlrQTUWEPXumrWkSKT9ax8Bz2R1o08kzwQ1KqGIUHdnoOS6RLVdIqafB5yhJKt61LAZA8tH9UeNgnG4D0FrqAZABDOsGvEw4iRRB5ZUHRhxJYsD6jFTyfBsB4CpHBgBRlhLIez6oVCcRYuonTFxocficj4XVloBXpCU1WKIglKA0zC9YSRCBO0bPu4afrsZAMDI2ahuO+tYu2QLOw/nFZaZHgDAKI8pM4KBhxGK8xZ2HomqMW1G0CIkFdo4c45xNAYeA59hx/QhGOXxoGvhQQf8t6jUdnSBB90UOrrAknQInwkWkYi9sQJ7K2HMFhwtXsBvZDy1E5TQx++kDcBKo1FiDCvs4P2RJ4uSldjjDw+ONFkE2mTAqo/gQDX2vUDPDe2GRYOMCNCNaFh4PbIaguZJUDcVfyDVGzRJk4BYOZlq8BnjEvi0ZEr8KsAlNSAOhMi2GT2shO+pabVIqyh6+EglJCrPysoo9Nub8xPgJBCTraA5YfqiAhlK0TNdvm4yMClPGDAcKh1VDdQJKE2gF/qLSuyUykPJI5oBxqSJAvLfRhzFIll7L5WpMInJShSGkxJV1dBu8/mZ+JaF15n4liACSgPQklosh85GdQYo6waoGVhjkmxFjR7wOImmg1bDDEroeZGXz1N2pZbWYLRBqGroUdAGkfaQVLZ0rxD6chuYavFDNjWo2hpECneVK9DRJZabHhLlYYhgFDHgEF561zOY1iNUZNHRQyTKo60LpKrNZWczj1/Uy1CSwbBKkJc8abilU1yxE9AqtGB3QgWuKBmHE1zCywpo5zHpUkUF1RtAFW2hoOpmwQHAt9rAdId/270Bm39a3bRNxffFJVbAf/IbN2IhMdOCnhP101BNUIqp2YOKsRZVI9HP2Dd51uSSVFoGdSqtosJ0dEeWe6oHssCQqiYlBj5dzOI58sgj479XrVqFffbZB7vssgsuuugi7L333nJoi0FXRLTBa+Nxyimn4G1ve1v8//z8PLbffvumvRWOMSQpGT8vGfsBXvSMfZYyAzWSzwfRyvBeALJ7bvcEvyktSYRv8SRtxdmZf/9cdSSt2YetQkyWyGoBnXMlJSZHxjBoevxEw/MEjA0iq4FqDEQeFq7jeEapaqp+WPyJpH6ocgMiLcHMOiVyCMqYuBhVZbNoRjBHDa38xIK0Z4sAqUYoL5o9BOgSWDvqYNBN0TYFBj7Ff5dbYInpY4keYNa1YZRHWxVIzP8n709+bUuy807wZ2a7P81tnr/nXXgTdAaDrUhlqmGqSwJVlVnIKqE0K0gTDWqmkQaCxjEQCOifqFkBmhYKVZWSEhKkUkoUpVQqSUYwyOi9ff27955ud2ZWg7XM9nmkJHokIvylQxtweHffPefsY9tsrW99zUwfquxa6xFJ9BvmlnvuQB8L+ljyfvWUx/OWysxcuiN9KNnYE30seebXHEPN0dd8d3iDtev5oHrEyg5YE0kSY1HaoSrPhWOEM3nK8J+PiiddiZPBAsumg9/0Yx4vpE49Qla4pNHES4+pkUPfaBERCyedgROipdkfBa7dHUQ1oy60C8FVL+ekyEjmYqk4SrwNNXU6/9JyV6EIg1i4D6raEFk0ZQH9kMlhaFJnmvnKPwfMTkiR0dnFsEwtsmOtI6pBSLDJWCv7mSQUKgpsnUdgsyfc255VyMVy7/QBNvNyb4GlWJj90rmCHLYqkaZrhBuSRg1JYaEEQxSByWqec9Rr9lCTVSE5tbcf5f6r7X12wZ1FBWD6409i9f2vuuwUCNsCvypFdllaiV1P0LYxmSgbrUDQprALMVvXQUrHTRwWuz9m9Eh+XpAz02vxs+mEV7I/yeivqTIBHKPePiEQNhLa6LsSdxASrjkcpYMvHdUhUBQeH2XDK83MFC2dnXinfEZjJvpY4mLkjeKWQ6xwRDZ24juTyBQ37qQz8573i2d84i849BXdGBXuLzGTxSiJ3e5OGVGMTYk5OrjZYTVgMq5asQgIWuwlnpjTQ70ucDcTYdNmkz4zjfnATKPGFMIoxf6Yx2H5efSeuD9g150cRkGzqYzB7g/ZODEaI+aIup4JQZ6zsljULoFM5oxtReyqTEKNqzKPcmJbESt19+099k9Yu6vVil/5lV/hO9/5Dn/tr/01AB4+fMibb76Zf+bx48d/DFU5v+q6pq7rP/4/Mmk5HTSRWIRcHJjjggADL4+wVSoemrPPP3nJN1vVytOwGDTTJfmcVBAqm4tGPNkVGvVEMUHvoV34Qck53Jilow+VquZ0JAdpHGQX6/74slgAFBkqzWJgmcaDsxcV43n8R1UK8htjtjtIEvjEw3nprCoLYltiDzEjR9iEoBtApOsZPRoM+6FmCEXmidz6likW3LNHvj29xUb9WACmWHAINY0ZmWLNrW+5cR0P3F6cZn3HtduztSe185/ZFCK93s0tT+atSKSj45PhktrO/FL9MZMpGIPDjgY7y14jXCMlSmszAYjaypiX18afcH1+Ou3/Bq9YasBeugGJNFc4cuBeWSypmcnjIFnTKyGRwon/iI5rcvx6jJnLkZUCCufFVasW+vMyOoH8mnmccIZMJE8S04+Z/5J8Q8w45co8d8jajSUJKc7B8ZT5Keag0faWRdqVoGrtsGWUJRbhKV1UUmS1Yk8W+fp5xRND4+kzMdEuC8uoNDQhQfqZ88Ps9LBMnJb9cZlBJ1QmdaJ1JaTV3Dmo18E5AVB5M2Z/zF1V+q5JI69EMtYxXAp6S2GG0SX0ZPkeXpI36/WNb3wDozyG9Nc56TDGyDe+8Q3eeust2rblN37jN/jmN7/5v2rt+lYQNXecxRfkOC2xCiwZLn5V4W72GO8JbUm4WhMuOoF9Z5Eh2/0oBNvEZ0lIQS+JuHHd5nFOqEvs01tB6+pSeByVEjnDopixL/bYZ3eKStq8jsP1hvmqZW4MVl0yPx7vcQg1HsO3hjf5t8ef4fvjfY5B8kF+r3+HlRnp7MA3xwc8njc6I+95q3whRD4sJZ6i8IwbSywtxY1ssLHQjJ00+tTxFTpqCZdr/MUqx0XY28NLz22sNFXXGsK2FWLqcRA7AR21pmyqlC8kvBNL2LbS+afxwqqVcMuLbT4Q/UUr7/HYEw8CzeNsDrTLKjdr5burimyH757fYfciDTeHPh/IOcnYqmoHsDfiZBqa6qUwzv/QNQwDv//7v8+bb77JV7/6Vd544w3+8T/+x/n/j+PIP/tn/4y/8Bf+wo+9ds2ghN+030wqj1dlTbIKoHAZEZRGQhxxUzxFaEohxya3WB3F2MlnA8LE03GHQTw21Kgt3afQyu8wiqjmqACjo7G0j56NA+3gs9xZBBKDEH4TETxIJlom4gfJrDLjJByZUcwyzbAojRJClwJpgZdeOyH5RseQZn/Ke2KSqodSxtMJcQh1IV5Js+zjQRE0EwRVHuelgJImwTNGxyGW3PqOJ/OW3z+9zcfjPfpQvpQ95Ih8Ol3xh9MDvj8+4Efja3w03aOPJVMs+Gi8x8P5kqPa+CcJ8xAKhiCy55vQcRcael9iJ4M7LYT8xaNq4SqZXtzPz/Ou/qTry42glAXRlBkCS+6wZhiJd3u42Lzsk5E6oeRuWbjF2S4VIYo+kLowyPJGCifdAeQ5dB7bnC3E0HZ5FGNudnJIrhvJAEoIgBcHRjGcUs6L94r2JFWHQu3JY6Es4HB8SZETncu+LdmzJC2AEDG7gyAVZZE3juxEO3vC3Q676rKJVGLiZ1QnFSGJ/HcOc04zlI10FimYMXXjaBGRR0lklVNW1gDhci2qK2REZHyAivw5EjIVNytZ3GWN8ZNwbxRZSghRRpQS92b2Mh7ratkUU9GZCqTmj3eHX5RU0+1GbJJeVk7QAi8oCI1GK0wz7gxCN4N078YvM25A7gNkDkW+YsQmwuGqERRifxIfkG27HBrazaZ1FDZtJmdbJRISYy5w8aJG2H+25vlXVlwXB/6X/l3eq57y+/1bfNpfAvADe5/9XHFdHfnznRGzTxPYup6t7TnEinv2yCfhgn+9+1kaKyR1E5F05f0RN3dSuFoDlxtRZkTpMs22k0iFyQu/I7nfelmrGTXKSCMLKXJd672xi9LJB0K5Yl4VFLfnG22Z15U5nOT3b1f5MHJzEBTSGri+UFdnVcGp4aLR95QJvKrWC5drfFdJirNfvFDsacqjAzOHXCwl87NQvrzJ/52/83f4q3/1r/Luu+/y+PFj/t7f+3vc3d3xN//m38QYw9/+23+b3/zN3+RrX/saX/va1/jN3/xNuq7jb/yNv/FjrVuA2DaCdiSEI8Sz0D5L0BDHJH2PVUEE7GFg7lbEJmbFVCidKNmcyQ1IKJ1I5IN03dEjHIzjKAX7ZDLKcT7eTIVcNoyrnYyBNA07dhLC6g6DjHqaAmNUFgsQYN420hxoMeq3jZA99z2xLvFdgRkr+Z2FI1zrc+9lFBvblZB6s2ePjK5CXQnX6NAT20rMLzetjh19bgz8KgXbnhVHs4x65nVFuRvBQKihKjydHfGYbCD3+/3b1HbiutjzaLrIhnClmdm4E0/mLe9XT/ha9ZBvDW+z8y3P5zV7X+cgRGkaCr55fJu36xd8UD3mfnHHJ9MVn5krKKXI+YP+LfpQMswFoYz41lLdhJw2niJiTCLKWgNFtcjPP8f15S5QdJZrTuNSsVuddcHLkUTaXWdS6/EkslzIh7MZ40uhdPmARQ7bmObbShQlMet1fBHzaMZi5km8TdadzMFPY+aVyE6tEHAaVSgUKA6MMR8IJJ+ENCfv2mXuay32OGTfljgmq+2YOzhmkeWZUazK84OtRnPm+lLu40kMpGI/5c6HuBQN58m4hCD+D7VaeY8TcS/jLqPwZugaceBNShrIxF6OYjufybCpu3FnoYB6n22a1w5SfYdNJ4f0MC1IUVT9/V4M72KCTzUGIUsQ0bFPJjj/8VnoFyXVTGOI2NW4w8gSeJb4CrJ5mslLwWBM5mPkKIagiJcxOdE4FlayXlo5VO1JMmpio9/B7iB5UqOsNTvOIst0Il21KBoXlgN94RsomdAYqkPg3r9z/JOnf5p/uInY0RCqiJ0MdgTfRMxssB7G12be/osv+K9X3+Ztd8uz0PHhfM0x1HzEPUrjeb285bPpkmEsKFeG6Y0N5VNtGFTiH8tCJL76nJlDLyOBqsS/tsmGdCbdx9TFhZAJwKafhNdQqJTfaU7TzU7jMCz105O42ToLbS0F4ZMX0iW3a3kNVf5knx0d5+YxRxDFTmgr/HaLnTzu6R3uNCxoo6ILxe3ppaI/dtXCmbJW/FNCkHFyAAqTvT7S9fHHH/PX//pf5+nTp9y/f59f//Vf57d+67d47733APi7f/fvcjqd+Ft/629lo7Z/9I/+0Y9dWAMSZ6CFVHQu5+okZRW1jC0ZJxlxGVFSxTNPn6g+KDaRu72XPxeTwkek6OJAinxuC/Y0i+rFGSJGEJE57aFWCghXLfwH3SclY00sD+arSkzvRs0cS/f50ONuFEm+WGeJfTpkw6rGHWcl+Qb8phGUI0TsccprM+o+77fNYh/gvRRj21b2I7VeMDHm/cwZg79osIPwkHIq9OwlwTnCvCrpr0t8FQkRPhsuqO3Me/VTfqZ6zBQd7xe3/Fb/nnBIXJ+VPn2smKLjEGp+sZSf//bwFntfcwwVfrKEaPj5+jMob7hf3PEH/Zs4Am+UtzR24heaT/ifj++ziw1/af2H3IWGf19/hVBF5joJOxx2UBHHqiEWZeanmDlAMo78HNeXu0DRB9wmqFFZ+bGpFkQiagIoiJpj3cpGl9QMhxNx1WJPfpEL65hHiJ0zzAYadYmdJuLFRv0J5qV71xFMTiVWuBBj5ECYPWFVSbR7KjC8uGaapNJJOTZZXmgX2/vdgXjqMV27jEkSojEoR+Rys8gw0wjkTLGT5+elg1AuaEvX5LGI/O7lFucCKqmk0j1W0m/i85grYZajbpuZXJzgVSVpAnC3h90e7l1lAqdYz/tcAKHM+dg1uQAxONztIRuyCYdmXAqdYZQDJZnNpb+SckIRhkz6/Q8U8l+UVDN0JYyCRqQ8pdCWqlLpia7KSg4J2govB6sVjqgwu0neIMg83x57Yvqek7V/GnW8fi1Iyu1BYgMOp6W4X2kC9O1e7q8WxolULcZwBjNZyp2n3AeuvzkSaodvpJgo7ybccWR4fUVQe/Hb90v+1S/8DBvbc+mOvF8+xbkduB13oWFlB6ZYSMfnAqGCkJQcqwqTvELURygk9VLyOZlmTBA+DjFiTCfrVs0KzRyUY1LkbjU4GQ3JvRX1WNh22JNA/uFirYRkOXCcZj/l56EfoG3ku0vZUAneT+PVuiK0JXYOy+imreXgOzukiZGwbuUA3mkqr4+ILCLkhF8SujLO8EfMOP/BP/gH/8H1l9eFMXzjG9/gG9/4xn/y5z7PZfcnTLMi5+XESNRHO93jRQlpFoWZ99hhGWMm4moavXOaJEV7PxLWlfJ29P0rGTYjE14KamNizuOxd8dceJt+yOTlWNgcnJq8TwyIN4s1Swq3szAb/L0NflUSlPDp1O/F3h6z6aG/XjF3JdYHQTbTfq/N1nzVyes4C9UyTrZHSb721yvcrlelkSN24utSvBAkLaGVZk7ngeyj4gANbjBs6pH322f8avchGyvoyH9Rf8p3pis+nS4pjc9BiEMoCQT5e7T8aN5yFxq29sSvrX7EpT1SGc8n8xWfTFf8v5/8Cm+1d/yVi2/zQfmEzswM0fEP97/MMVR0duQ7wxv0seA4V2J1P8iz5DcS/5C5RmfNjj1OOYD+81xf7gIlRJ1fFosU2Jnl4DQmu8Sa3VE26RCIbUkM4oRqTsMy7lFjIPpRuCX9gLncygI5iXwtB+D1I5x6NbVayHjm0MthfkaSCttOZHVq+x7HUbgXiatyJv9Mvh1ZnhxFMknbwKpbRk1JbqeIUDyd5CFetVDJzNvsxVAq1pXMjYcRo5yUlN4sCz8u1vXJ26VrpFM69uIeOs3E7UrUC5UaoHkdLanrZUaItGBI34uZdDxQy+zcNHUmukZniU0tBnO7PaaQ1GVJKx2XEMaqJJqwuG+mbgo0GyhKLopluT91lSXWIoGWFNWMoNhXJ9W0hxFMpb4yUYy+EsqRNmxLXltRCa+Zg+GcOgN75GaYJUgtqbTKM0O7WQuXrlnGdgn1gzx2i9YuRV5bLWTkRPT0Xmyte09x02MfvyBeX4h512mSYMGqpNaDPxrDcHHJi6Hj1neqIrA4Aht3ojKed4o7pmh5WL1g1YxwQvgGtYxnfGWxdSEdbyr+AX+1WfhX6k6Kj/htjbCmobjrxWZ7W8htOqQRrZINR82iGkbMqsU93xObWhCowqqNfwHFpXBFkrFdUwnyMi4oa5bbJ6Jk4mP1c34eCHFBWSaffY1MCGLRXhYL2pqQq8IS03dTWAIFZj7rIr7oK8Z8/yImjylCLWNvtxsWQ0wdscWm1FEu+fMLZKufcZrFEbmf83eaXaNVZWN3ve7xglLbXp15NXg0bFrl82j4ZeL/ABTKbyts9ijxbYnvSs2OUY5XvcbM6kVkkzLUMF/U2EqeJ9vParjmlzVpTM6VMpP895AUYVYsA2w/kcIUfeOIRtPMtcFw/UwsA3bXS8EzG+G8zIV6pVjc4CkOFtc7nh06Pjxd40zgwp3o7MB3pis+mu4xhYL36qcAfDxe89l4gSNQ25m7ooVZEo1fL2+ojOeJ33IINY7At09v8pXuhpOv+G7/BiFa3ihuKc1MZ0cm59j5hg9316yKgckv1XK6v7GS9+x2w9Kglk7Wb/GfCwclBPENOCOhpkwdc3cgxZcDZ9JDJV+dMb1jt5JqVdnn2T22SOYyTqHgKhOahETaafewVM4CLZ/l5xhlfdcF5iSL1TS1uk1WMkJRFMeEKIfwMEEhVbS528vvyN2gzyRauzstypS1JLHmLCB9qJlmOcj0UDanQZN8FWXpR+LFGqLNY5+kMpJOzQKqhFDSmTlJh5mSo5P5XZZ0h5Dnjol8KLyZYbmfwynzRPLobSPweUweJ0l9lLxZhpFw75KwrnAvjguvYJgz4sLoMxk3cXgEYh4xSe0SIpHwxxCUL1KqGbqKGEvMMeRC0x4nddR0whW5XJEM06JH1p6aj8V1Dd6+VODam8MiuU1rT6WrnKEsKQTSzD4H/aVNnsIRrtZCyAxqchhUdqtrQ7pk5UtcbZdRUgrWq0vxyIkRGnEd9cHyleo599yeu9AQouXJvM3k2l+pnnLpjlTO8+w9w9y0lEdd8yFi9Tx2Q8T1Ad9YQinKAdcHQmUITv990Hl+YzD3asatJVqwE6zniLvtlVcwZP5OjJraHUtCV2Zr7sQzM6OSrzX2IdaVSN9bUUtJ5pDKW/dDVkPZu7Px5exhHhdVS5LMGyMNTAiyJ9TqEGytBDIGlNRuSao6e7v/j665n/qVmqcUzGf0s8JyEJl6MR5MvJ+ukUYp7dFJdZjsFtQFORcnc1jC5ZJvFGRhAP2c179Jikwd84eLLgcvJnM1AHcSUni0QsaNs/y/oCTq5KkTncUdpmztEPS7DZWTxu0wUBwGwqoW2fIwY3uf1WImCrokijz5rIK0TMxXnexBpZWPMnjcSfdLZ0TUUJwVqJD3qlBZrBc7jeAtQyg4+orSeKwJPPFbGjuxcT0734gEGKj1AbooTjRm5BBEydNrynKIltJ4ajtx8DV/ZfsHfDRd86PTa9z6lq9UL7hf3PFe9YSPJhnLXrgTzgR+nzcwAYIjfw5gCQo8Wy9hXcpU4nNeX+oCxXiPGcfFiyNxEiBnYJhxXgisp2FBDNatoALjpDC2jmd6PQRUCZQVQedcCk0ZToTasBKH2dS95q5VOSYpAyVnxjS1dKKH09khOy0BaF2jgWMj0QdM18hBrd2ECUE2iTOZdC64zosTHVmlz4X3Os9XApN6v5jbvSBGayX3nhUrGbpOI6DCSWHhRZMfVu2iQAoR4pjTaMOqlZ/TsVuGyMcJulbe14shu//GpoSAcFf0EI02SLdqLUY7TXfX58Iwj7KUxHgu3cuE3iQD76czvosjmpcRlD96/TSlmkKCi7mANmrHbTTaHSsulTZ9l0ltlrrJZCxVaAfpk1tsXLrONDo7DaI+aWsxg5uEjB3OOnkzhVws2nFS4qgVO/rdcYku6KW7t4WVkYq1wu+oS+K6wQ0TPHkOWjDHumBqxYhu5xscgfFMTXBPZY4/nNd8Ml2xrgbsX/iMtpj45PaCvhcb/LKaidEw3sn9cZ2sz+DFTt8YyTcBiKcCMxvJQykixbqnKD39k5Y3/3nDxX7APdsRb++kQWgaOPWYfmK+Xsl66qd8UPlaDiCRs8soyPSTEo5rQbPS2Gnwi6RUEaTY1UKOVG6cOfZSSCY/oGFcOv2z9RErm0m1wEI2fIVJxsBL7ymjRfCSskb2p7TO9Udrh/EuRzgAmJmM/kkgos8joczzS6+RuDvqGL5wo2IWOJwrRHKSciRzWMzgs2eUqOYALSbMGDRKInFhyMUJRgpld5zwK5F8J5Iv1sDo8/sySso2Q8AUUdxm1VHWDAHbT9hBid9Wye/DpA1giV8pn2cKLxGBYxUxcwSNj6jLmdfrO0rreT6vKI3n03CJI3Lrpbjv7EivKcdOhytP5y1r11Nb9QOKFqveRBvX01p5ti7cidpOlMZTmlmeW0VZOjtyXey58R21m4kFSjSPmSOUkbI00jManDn+ce7ff+z6UhconBFaqUr58LBY2lcl9maXM3NiXWrFvfwK0zVyeCnj3pyG5UGwNifDRucW3b125MyzcFPSPDwdJkZlwynaPXFMEjdDRzhREY00NkpFhbndv2RBnx1DD0IuzfLlqszwYPr9iTxnD/1yP4yQ6uxeIdZJyGuJrGecheiydbjp1XyoFnJqVBMpq0qd7N0C0j0loqw1EjGgBEWT+At/dOqozrJGSWsitUsw4CLHTqqbmJwJ62oZQalfSnQLQpJUHNmYLt0jLVqTdX60aGf8ny5QklTzL//lv/ySVPNP/+k/LctPpZp//+///c+zWl+6zDhjikJgfXQen0zXjMnukWEto5NEVjWDmBDGwmJ3A0FHNolnlaD1sGnxXUkxqgfDNBOjOjrqaME4iznKxhq2LawbzGnCPruRFOq3Hixp3IP611iTx3n2VsamYdsqhC1ux/F4ks+2XePXNfKyhikWOTreY1nZgcbIOrrxHY7AX3ntuzR24ivVM3ZvtexCk2PkU5c4RUdnR/a+Ya0umR6r9vodAZOj5edg+Xr3kA+qR/x/bn6V//6jX2fzwxL7fKdxCIUU4auW6Y0Nu3dqykMkvlEzNwa1z6AtDO3zvRT8zmHiSDJNS2Mnm9QfjSjx8vorrPh8dBV2FzPBllmfhUqUSSmwNDQLjyOsmzyWkhunRWn1x7N4vrAr7T9JoZdEBmp1YHyxeIUkcvqceHWO0GjMSIiYQgu5hA4lg6/kS0JAEo3VCG2cX3KXzoqQZGamqEVyio3OiC1/jMs4CTCTjl6sBSJGRzVmmAlNgU3NjjFCqg4y2hFPq2Rz73JzFI3wWphm7F0yVBN+iY1SfFFYGFAjRLM0EcmvxQt5OzaFSol1dJm8oLzcH+sN1R3c3nT83votnA3sx5p1NRCiYT/WLwlEDLCuBn5285Q3q1uezms6O3DhThxDxRAlzdhjKc3MvfLAk3nLxp34eiej7crMBCyHUDDFgutiz8oOPJ/XFCYQrRpqJpRak62Toy8gBWfytPqc15e7QAkRkjusZsREyKm3JgTifo9pGlHTKKkutrU6sCpEmSSyoB3p8nCYSRdqXUq3NZwxkNO8Hx1LaJESndXDUBjtWbJripdGS0Z1+ykxOVvgpwIphMXDJb33wkEwC98D5M/0AyZGrBpE5Y1BSbnm7P3ly7kF9QlRCpfEhdFxmZBg5fVC4viM80tW45J1pOOBlcpXE6KSCL1niqWMyhz7hUisV7btj24pBs9m0aZXsuS562/yHUh+OCkwrnDLvS+LhdBYa+caXy6cvkipJtYS1LMhu2EWKXdFNu2kSompUG7Klxw4c8E7xezzkhK8jZduT8jUdeZGJN+dNIJ4WcI8ErqK8OAKc+gJTSEzZD2U0zqYLxrmdUlRScbI3DhCZXFDoHIGN90Tcm4qJIFhKjKc3NiJa7dnio6H82UuVDyWn20eZtLsyg68Uz5ja3v+cHydW7+iswPOBN4qXtDYiXfcnh/Nkj9Smplnfk1jJo6h5p3yOY2duO/uOISa1k0kgCrWpZCLdXQwv7bh4Z9taX7jKVOEY19jbcB7i58d5bc63n2xFd+ZYVoceA9DtgrII4jCLYf3MGZCvt31GY1NhXfohD+VQvYAkXanUYN26su6MWrm9wq3bg0UtckioSpzZoxRebVRc7yM0PVLFloiTUZniSWZBGw1vNPESFSllewlRtCViI7SlP+Ssnos8nP9jD2ciNtu4R5OgejIvJbojKbrTkQvgZyZhKwNplMnX6OJyiZ7vkzQiI2CCSzW96o8ymaUh1NukElJy8OchRWyToQUm5tsfW1z6DHt0nhiIeIwdrlndgysHnr47YYPf/Auvpbi4LGHUEFxMIQC7AzuJP/tk6/M8PPwX22/y843eCyNGfhsvlSJceR2bgnR0tiJ0szcL+64Zw889Bd8NN7DY3infE4fS94pn/HD8TWm6DjNJa63uNHLuMsYzL7X6AO7jOqCwVrL/J9NgZIW+6xfeq3pvsmt1BjM5YXMjQd1LV21WVaWqth4OMH1RV5gnB3wQJYRxlKgXMnPOHMhdEYq7pOSuLZrObS9jmISCqLoSYIeM1lTP4OZdVwTBJM08BIKgpJThZ+hsJlz8qBoeCEkuHLKYxWR3J49HE2d3082FSqUX5JQC7eQVNP7IXeLqqoZ/UuS5MT7SKiPHLY+k28zspEKhWEUJKdrsutr2uQToZZxkgC8REROCpYke07Ot00lm8KqEWWQvp98/9I9hFwomT8y4vkipZryPnw2zkN5JgSWBGj1wonrVvgmk5eRUIxLdlGUXKaM7qUx5zCCqQmrRpQPyep9DosfDciabZQL5D2sdAxkxb3WvTjIvVaeS6wdN1/ruP05mNYFbjAK04OZHa/9TsHFrdjGA+IGGiBGgyPSx5KVGXAEnoc1Php8tPSUfK16SKVmU/eLHffswCEW9NHx8/VnPJwvcuHiTOBb/ds8KXY0dqQxAkVvrTQbN9HhTOQQai6t/JnGTkQbxSTvopOOWAs63xXsf27i//bV3+b96imlmflovCf23qHi/z7/Bfr/qaHb90sBrN8FPmBO84KY6AjBjLOMvgqRCptjj7/aiOpQ9xh7moRLpqqXlMuFNfLv6eCao6CUazGFi3z+Of5P+oq1OOFmfhPkrB107JrWsChRgn4+ySlKiATJQNFYztOzoxLE82jDWnFFhqyQCk2lMRghG8GlZ8DMIReizDpuK1wuLEA6fbF0EGpAaPR1VxVuvxgCnnPkKDQ4NSAoSzKSUwQlbBt5z9tWEBPQwkrM4aKzWZ6dL21SROZf4g4jdg5CNs3cHfWoSoGo1tA+HqlvLNPHgkYXR0+5m+jv14TCUPSB8naSWIqtozgWfP/6Ht+8eluKEztxO3ccg/BXLooTF+4oJPZY8F+0P6Qi8OF8xeN5Sx8LQrQ88+usGPrB8IAhFLzoW4qjwU5ifeBrB7OYIUYr5PQYDISXQKzPdX25CxQlscVVK8VA2rDHibDulnC7upINexrB1wpxTwvaUVdLwNGpF3i6a5bfiR5qlmW+r69vVN4cCyeQcaoOE9chRk20LLIra3RaUHjNWqAUv4BUuJQFKT02ud5mE7ljv2R5xLiYldUVxnkpxlLFXxYvW+nrqCilE5v9IMWHokYmSMcHAgtSVwTnMGEm+QHkztAYKQyTjDeRlINEA0RFW0JZqblUeh2zcEGGATYrCXA79sJ1WLdZTpr9C7x2amUh3KK0iSsknBAxM8ZcAAlq0rxUPKUiLH0v58608MVKNYVIiHiQeJMtvDP6FaOQNUmbaSWHXOIzqSw91uUy3lIpuAnVUmi7OiNtJmqIXlPl9Ri1+0sFn3u+X3Ks1OcjdJWY91nLdL/j6Z8J/He//u9ZFQIpf9A8xmP5bLzkHzR/kdUnF4L+zCLBBHhtfciffWNPPPHblwLLgm6aD+cLRVAcT3yLR0ZDl/bEA7fjvjthgQnDLrQ8nrc8MHfcdztWZmZrBh77NQ+KHaWZeTJveew3PJou+cHxNUIFvnYUATnwD0dM12LngG2DFFGh5LI4cr/YsbJP+eH4GnGQDj47p556wqYRnsHsCVdrJaGLsZ2Y3xWY44BNKsG2XozF1McljTUzv0hRnZTvlYnJq0a68eQBUvyYO/1P8EoGXLGwUFQZucwjZFAORuLxKCl7EsQ4FEJABSCYxfDNGMwk46zQ1sQ5ZGNCoxLfxSDT5yLdqC8Ow6hhjwV2mCVgUNUkRpHcFIZp8n20uYkpbk5ilGZMlv9HtWFIhnP25iAFv0VHq1bCAIM+u6XD9jPTvYZYGMwcKQ4zZvDyrFuLvdkTNitiUyyBkdYQSku4bFT2DH5Tn8UJIGvFwrwqcEPADp568CJjn7VwebS4EftWZNBEh69h3Q08GTe8GFuuLw+8mDveb57yfvWEe1aez2dhxW8fPuD/e/erfL2RpqCzI1+vPwPgd07v8rP1I6bouCiOvF895dub1/lm+Zp87cmHq7D4q06nFDEXcm4/EOznL66/1AVKbBuiVYtq5xZEwFoNppqz9bHxAXOx/WMjlkzGdE46b1gg2LbOEd3RsSwWXdDZWTXE7H+QUQJVFqGE1mSdHJ0lrlvGey1z6/CNEZJWANG3B8r9LKmY/ZS5LJQN3NxJFb9qF8M05bDERhRBorYYBX2pSvy2xh2MbihxmQEmd9lMwnRSCHgPZSlS6OQxkUYzKWNE4d14tV0IUDpvne+1nF6T7ySZMGUZ3Uk+WzkrD6dtMkcHUM+Zs3GQjrQyuoLCwcYsPB4tkIx+r/b5TvgT6gmTlBdZ6XUWgxDMHzGT+AKv6AxBeVPFXY+ZRkXDyAiJU2g8TsUiRdfPGbsmR9Fn2XfiFPUjceqlyExjsBjFhVV9KmySy15fEGc5bEJdUOyP0NYvdXn25rDI+IG4nvlvLn+XT6crLt2RX6w/Y2Vmdm3J/2P764wXJY2qYEJT4GsYZklevS72gpiEEmuFMFudTx2J7HxLiaexE1N09LHkk/GKG9/xfvWES3vkvjvx9fIxAHe+oTMdH4WW90tJRv5kvgKE2/KXu++ysgMfDtcYD0WSp3c1xsj3gI+EQ8XGnfiV+lOmKOvt0p54bDcQ1A/j6XO4vICywD26WZ51Kxb5xUmQEhuq5X5VpXCHrCWu9Zk8TlJsqgzXDDN2mkVVpX9mSTJG3FYBexQ+UnY/fQWXmQIY+dzJ+DHfBxRhCQhnbZqXOBKT5LaKuqiZWs4i0nDQ0JZEAzaeNUWFkz0m+YMkuwBjMgppU/GoBM0U/RBrRzQF9mQWlVXicWnatF9V4lL74kCK10jcvdAWEMHOIbtPS8IxeRRHFGQOoL7rqZ+p31VgQViqQp6HbY2dQuYWhVWNrx3VkwPEyPhgjetn4XSVOtoa1JLBWYqjp7g9ZS7PeTJzrMtcoMybGjt6XB+wMxgTea99xi+te0K0XBQnPqge09kBj+G94sgv24l/e4h0bmCMjmu3FydZd+LTecNVcaCxE42ZuHRHPpzusZsaQgnT2lHdmlyE295nJZWY+glPJzm0f57ry12glIXwMTSA6ZzVbY9jJniaYVrs1WNckot1fGHGCfdiJ0Zohd6Ss9FKVETD6EEXdQOPTSVdg7OSpKlMc3Pss69KbITI5Z7eqleKY7pq+OSv1EwfnNhuTtw8X1HUnqqeON41bP99y/3fMVSP9kIGa51+BjUoS6TPoxpwZQfKGr+uKZ4Hwqph3tSq8XdLt6GjlmSilBZLrAuxYE5yaSXhmbu9dJnXl1BU2MOJoBbQ0RqR1+n83K9qnv5yy82vTZjKU1Qe6wIxGubRUf9hy+u/HSmfRuI8CzcoRHFgjFHs7BM/YvaSUJq4NkqwS9+vmX2Wy2YzsjNeTOKcoJLqjKQoZyV2BcG9ugLFnibc3gtk72RcZozJFuY5IyYVubAUk4UT/kqeq2su0xgIF53MgNGCspTv3oyTKIKMWQjNabyoox+rEQLEKIdnXSlE70XhBcydAwIPZzGC+sX6M+7bme/PHQ/nS8zJYWeZt5vTiJk8ru/4+NEVH15c8+HpmklJedfVgavyyMNhy2enCy6rI+tixBKxJmBN5Ko4MoQie6c8nraZaFvbiRAtn40XSqCNPKwvNDOk5PG44QeHe/T3Sp5OG/7d83doHxncfhR7gjPlmIlgT5aDzgY+8ReUeEYslfGYxjM3jvrqMjcmJqkSkHGOm8PiNzT75VlNBPZtS1DPDaMO0BFB5mJbqceMFh7jRLxciYLorEMmczpeXRK3jEWcqIxA+UyojYNme/mXC6iwrvO9sikzKmpCb/LaKaw8k4HsDhtLR5LxZ8XUlCIflIsF8vdWG6PbwyKUqCuol0ZM0JpZHH47RaF1ZB3bAuPbbJQXVo0UN8kFNUZRe6oqJ1hpLu0o4Xhu8ITKMt1fUdzqGD453uoYERBVELNwRutSxkHOMF+KS3ixG/KeyKoRVZSxMnpKo1ljcPpcp6YuNpVwJbW5cMcJMwUKa6iflzz95JJ/uf4Z/uz1j7hwJ35wfI3aTnQ6IvU85B2357/d/C6HWHHfHXjuO575Nd8Z3+DJvKExM5f2yCfzFaWZ+V7/gJtTC1FkxmLhIfdF7rcKJtRIMaxqovtPixPOry91gWIPR2jWOj/X/JUEy+koJTmzxqaSwmF/wKw6dY0tBHpK7qdVJSOjRHLj7KFLKMKqzUoSdFRy/nNmpyZBSt71q0oMxZzMEImRuXEMr8/85Q++x1eaG+x7kXfrZ1y6A//4xS/zL37wqzJzNhJuZgYPpVrht5U8wGcJybHVDXOcscOcOwp3mkRpkUzk+jFvlMZHeZBfGivN8kAn1OKokG1ZSGbIqqJUH5XomsXx0hjMMDO9ueb4ZuSXvvYxb7Z33K92vFndsvMN3zk+4J8/+yUxJnIOWxTZ2j47/4KOyCSZNsmmY+HUCZY8r88oS85bEdl0bGtMXUHKJkpFSYx57CfWyzbr9F/FJfkwimw55Rt4j+1HDV87C71M46moydiVdkmW3IEm91wz+ezmC7ph6P1BRzyJiJ0ky3J/rOTZKCcFII6SjZM5TNZiPJhDwbeOb/GLnSANT0LBw/mSQ6jARewYsDd7IW63DZuPV8R/WvOvv/Wn8ElFPQp5z3hwo2xu0QEGhqtAcTBUd4bhnngKxULUVyaCHQ3uZJjXUQiCXv6sCfJXmnMbb/Brz7/v3oG7kuJgufdU106IsnaCyPDnVUGsIo+nLf+mf4/GTHytesQTv+HT6Upm6CDS+RCyySCw3NNEzDbqcjxOYlG/kz3HnCZcChB09mUE84zIHZUTZMZZVVi6TpVwGY0hbLovZJ3+h67El8hJxCHkQpi0NpOaqVgaC1HOoLydmEmwOess2fmzZPskqWomsaZE7zG87HuldhKxdItbdCqChnm5v8ZIdATL+FwQqcVnJdYljHNWndjkyeKjNHWRxXzPCbcCHV84I6ZuieweC5MLnGgMdgq4SQJCQy1mgLYXVCy0pbze3UnGhkr2FYVQVNf0kdhUEvrZjwQVhGR0NYTsC+WUexbaQp6PxnOaS/6nF+/yerNTDxV5ICfjeDJvmaJjY3u+N7yOL58wIf/96byRsU554pP5iu/2r3MMFXOwFFpwWK/fcXGmTFRRR1ZbhUCoP39j+KUuUJIMOM/bz4iamSyYusbkmmkW8mfyJQmrdpn/V6WwsEFVEvHlB0Fh2FiX2Bd7cC6no8bCgZJwjRJ1ixdHWWQ64zf9KA+GhcvyxEVxYu16/lzzA7433ee6OjBeByEXPr/FXm7ELTF1WHPIB1DsakmmTTlBs9exlhPJo86Bk5w5jqPM25WlHjatbCqp0wY5AEGKunmG+9eZkOZ2PeFilWe89u4kxeAwgnPMnSMWMAfLW80NP9c8ZIoOj+HN+la6jSlIcbXupOhQU7dUTMayWAi/3qsiy6ts2WfJXdx2i0usvl+5wUb8VdTIKl6s1elyFrfTUaBTQ8DOi6nQF33FyonHQxoBps24Uq6SDwvB0BjpyhMfKeX29Kq6MuqpYIweGvNLzr1JIST32iyePslQr3D4dQtt+bKDur5uQuz8piGUhlhE3q2f80ZxwyFWbBm4X9zxbHhL8ncmlZReX0jWzG7k6g9mLr8jDpqu9xS7gRQ8GEtRfIi7phYhc8CXllAJpB0KVa8U0p1VN6OQXYMURNN6OeztHCkOsumP1w3jpsSNERNmXC/3M6ybpdhFxpDRxWx69UZxm2PsH01bGFwmn2cycqPjzqh5QU21PA9nfCfT1Eoqn2BEOBNBx6rWSEHqg6xb5f6khmNBAiS1144zxkQlib2aK6UP235eUpXTqLywS7FQ2GxCKBJZr2seWZfJpFiT0xOSd66IyoIGL4RUESQop6ws8iEvTqvL+8OXL6sc49mzA7JORp/XG8j7Qt1m3STPkvVnf1afo8WXpMhusWZYwmVtU2QTOjPLsx7VSDLnRY2zjFwhF1/5GbYWTMgmb7afM2qUDUFDwF9ooTUI0TfdhxzSl9ByawglVN3Im90d19WRgOHPbn9AZweOQVQ8pZnpY4kLklJ+jDWHUPNouuAYKl4v7wjR8GTesHE9X60f82i+oE6ISIyLKV4KuKRYlIN6mT/C/ftPXfZP/pEf7/rGN77BFxVZH+uKsO6Im45wtRYIMGWuNFXmMZw7DZpVK8RAtbhHZ5pJFWPuDtLF7A/ZtTMTZQ+yodl9nx8Q0C5inLSYccshURVL6qfGq8fCYSeRXIVo+Wr9mBAt35vuc7+44yvVC6IB34qPRGbCJ2fWwip8rNybxIM5J+8GZJNUA7VcwFxfKEFSQ76GWYIM+1Ee/qoQlEFJpmbVyTz9oFJlLwWP7ecsNc5jr1qq9Ol65r31c14r9txzeza2p7Mjx1ARC7GQjtm3ZklzNqqUMv24JPWWhcjudoccTR67Rv4yJqfG0quqQlEXc+zFgK8qs5Q3loWmmFrJikijvld5WbtAtqDkX5lzx9QhTxr0585I1NqxojPp2FSy9uqC2GiQXj9mLxmjKjZJRS0FgUn5PNsV4WKl6E0qbEpZV4XLTpr4sGwsNlLbiTeKW258x4ilMVM2h5o2Jf5qpfC5+Du4/UCxH2k+21M+2euYQrkIPuAOI/XDPdXtSHk3Utz0VDcD3Q9uqD5+QfPZnubRkfajHc3jE0Rwvad6fKB4dEvz6Ejz6Y768Ynq6RH3dId7dEPzyY728Uj34Y72ox3l3ZgPl/zsGCMH1SDb4T2355P5ih/O97AEno8r7NFK4XW20RLFQZe6Ilxv8JsGv63l2UzIqrWEi5XsFcmSQEmRZhiX+5qiIs6fZTU2NKcBc+hxuyEbn9njK1y7JvFHdMSSuFDn9yYRV1ODmKTASp7PHBEQ51QtegCSbVLUsW50Z8VOiIsyRxu9UArPRBrRoIWGy/cQIIcvkorRxaAwOiNxCI36lRgW3xI1+0xIkaBD8rl97QjN2ftOI6y8P4alcULQBXNYSKzRoO9XAwsTWXZdq0XCnK30k0N5voc+ig8LSHOjLrepQIjOEbomj5BCaWjria+vH/GXtn/IV9sn/ErzESs74pGQwBvf8duHD/j2IEaUd76RtOJY4EzguthjTeToa14vb/mN7of8TPWErhyJah4XSidFW4zy+fR7S0orAqJ4+5zXTwVB+aIi68W5T4yo4qpeuo7jTLxY6cHrZa4eQg5GM1X1kmbdHXV+p86OkpXTLMSvFJC3WYls89AvZjspdE4rYHPol8Ll0BO3rQSGGYO52YliqDRQBAKG5/Oa2k58UD7hLtb83uEt3MksB06CCnVDtXuJe7fPd3Iw+ZA5KIDkWaQFnRRDedOTz2x7YbuTZsHoIh/O5pkqozQ+Yp7f6hepXY7+nL9aLQQtoNzL3//0+kN+sfmEY6hp7Mj79gk/tK9hJoXWX9yJL4vKErP77nmRFWP2IIjThHFOEST1jlF5c1x34ifRlPIwD5OMFqpSi1SflU44gVNj6ZYE2ld0ycboQMdzoS3EMj05dBqz/HNg8VXQf89xDU5VVONEdCvZyGshZZp+yPc2JtdSyMZ/L8kdYdlMEwG7HzOaZXYHrLNE12GqwN43HEPN1va84QZ+q3+bh8MFtjcUp1mVLGLZbvsZuztl6D2qKkI2cCM+LrXDTCxW52palqHrYcSM2kTMAVrxzwlVgZ1F0REb6aZjAOuDkKXrkmIno6+wqrMnQ6gc82VHcXsS9Ka1xM7zoLqjjyWTut0eY01tZ2IZsw25qOkGSc9Oz5cpJWtFUYDcUGxaQl3gTiNE4YnF0kkAaeJW6GgiS+N1RHueO4SSUaPO9jNy+AouM3psTCpI/U6U0C/7Slj4YsbogaXJ3Clvqow5d0f2OPnxzPXQOZ2JMef9hK4UHkZUGwTvBT3IBp2aDJwK+XkpopIQwkyS9B2NgVkdxK3RUYzFzBE7BXkep4CbLNizNPTTmJtDk74G3bdCV2XVWua+qeTcDuLJYmYv/JeVqETtqE2EX0jGoS6wJyfrq63Fmr9WNNWJ/B8Lrj876KM434a6oHi6w1+vJRspRkJlCQV0paQel8bzVnnD98YHfDi+xs5LkOIQCv7lw6/yZx58xKboeb28o7ODEGPNxMoK7+kxMgryES7dgW3VZyfZ5MybFJbJzFCKbVVl/Rj8qZ9KgfJFRdYnEqGJcXFbnGYpNuYgqEHQDjCYvPFGld7GdJC1Qr7C6YjHGPU0KaUbT54b1kqBEBfn2By+prPOuNVcn4Mw9LM5U4i5w4/OwCQL/tIdKY3HY3g4X3DyJdbrplWX2MMgcrmgi7kq4dhLcdEPMlLSsDwh54XMU8jjDpXMMU6Ld4MiDFmSG2PW+2cDtIBE0qv+3wwjVDZbVYemxGk3EWth3puT4wfDfe4XO9SQmkoJjMI/sQJ5jyOMI2xXmRtjlK0PLHH2qxaz3cj3fDhJUag5KPbYyz1Yd/I+ckBZ8bK01gcpvhIX5xj/OHrxBV++KXAhQb9CnDPWEFcV7jDKiDDNzZ2QZy0yIkwp3qEpMIMSYjedcHSOQlJM6xBr4dCLSmfVyUbZp7ykWc345EBJ9vvCqVDvH5XIx3uXsgYHOSTTpmVN4MI6KuMp7NItol1d6jijyuKF41KBEZ6XKFYKTXUVX5DEYQilw6r5V6xLGXMoXG7HWezqtVA1pwG8l+wbfS5NCMJFAiGQd4VydoRzEEuD3zbMq5KpM5jKC3nX7emMeK1sbM87zXOii8ydpQbh18xeODqblfpTeOjnTMgO6yYXklaJzWlsJwtAnzktzJMnToL97d1p6Za1YTAhYGbhIiR14iu5AsRSeCHGx4Wsngiy89JIyP+Tg9+cRqwWY0ZHAGmEE42gs6Gr5H4W4twaZzVFOw7YoVw68TPjQbdbSLdB14k5CX8qtpWs7SCvZ257GREVMhJJyIuZ5PAvnwmCbi5Xyyi8q5hX0gDZwmpRLGso8UekqJbvNLQlRqkCZvbSTBkZrYZNS2gEPS5u+qWxVONEexyJF9rUTrM2HMoXa0SUgI9SfICMzbVY9bUofqY3LxkvSsq7Sfgyc6A4Re6ODfeLO/757uf5pfZjvn16KxfinRt5s7rha199RGMmvnV8i2OoqO3EO6VkaAE8m9dYIk/mDf/P/S+z9w0f7y5xvXqBGSNGd17QrVgm41JFgs7UXp/n+qkUKF9UZD360MaqFIOwhCYkYquOHrJUDRbeSi9uh3ivXbxbIMeyANctviDnnX0yeAtaxY+aUKk5G5lAqw9qTI6qSRZbF4TKYGbD4AusCZRmZopO5JUmEC06s065NRVEK5v7mWTP6LcnRMslDyQTZ4MQvoJBlDwHdcztdOx07PM4TKBXHQdZI7Byms9PE2a7khCzNFMGOUgP+p6AubPEOjCEghvfcb+448m85bPpkik6QgGhkuhzk5RHSWnT1oRWiwrtRPFeCqROi7CU0ZMKRB0FmXGSok3vdUKWTD8K0WzbLeoI/Q6laz07UL/gq9gNsFFoO4rrqzkOhFUjsQuFMkZh6ZbnP4KupLev69H4mHkpcg+iKkOkuzV1lTdKCidrOwToat1MnHIhKrDNQqRV+NgOM76xGOcZQslN6BijY4p7SqP310J/r6IbfE4yjcrTMrMUJGaYJGy41oJhnPNnNDc7woMrJVAisfRPd/LZnVuIf02Fv1zjbg9yYKfgyoQaavMyv33N7r2WaWXwlYQJhtIodwXKk7zu7l3Lz73ziPeqp3w6XVEazzvlMxrjZRN3UYrIUVPO20ayv5JMfpxU3j1hWnWuTqhtyvCapePHCcHb7I/LwdVWIq+1wuFJxP0c6plk9glpmV7d2s2wfa1jklEP0su1IhS1HLxnmWRJbmpGGX9E54hNIWMKI7wE37ZauGjBEIIonBDklmmGrsbsR5gW/5LMCSpdPsytJufm8b3X+9fV2vxp3MYccP2Y0Urz/BaKApssCiCjIG4/LHJzyyIxBhIBPWw7NSorcbsjsT9iqkrQQ92jrB7QKTTQniZ5bgdpelO0RUbr1DbeTJ55XQl/y6Y1LM9daEpiabGnWe5pRCTG+wETGqKp2XY9O9/y32x/lxu/4r9c/ZDvj/dzFs8UHW+VL/jD/k3ulQecCdxz+5zD80ax4xfX3+OfHL/CMy/Brp8Ol5wmCRKNRl6TEDSrzcCssvLkJvvjLrUf+0/8CdcXGVmfmMFJcha1Q87StOSpcRqyqiGjBS6hBAFzd8C8diEHelvJhumSAc/Z3NkKCmOGWaS3baOdfb94csS4yNt8IlOVC8EuBNwpgHVcVweOoaanxGmh8m77nHmjc+Zb0eTbnWrqq1LcPUFg8rYSKWfyCamrBQVxDhO8EFmbMh/QdnfKXWfsGtlAp1nkrlWBu10O8tgPeXNNfIL0YLvbUzaTy1C1BdPNvFbKor50R6ZY0MdSYESjc8nE2E9hf/o7TK/5PolkaE0uEI2iRzG5/eqfF2xRqvJ49vuiKpCMcm7EU8WSvQmGEWNf4Savn8mqRBMgbBp8W8p6TkoIDZoz6uOSWPumX7xuEpcBazJ/iNkTW+FDoYWJ6QdB0bZrwqbB6tqPrUDTsXZL8ZpGbCFgDl7EF2WBnSK2CHgMY3Q57M9HSVZ1J0N1My98BB0pctDCP3nfJAtxUCVXLSOay42MRHY9xdO9bNLOLcGaRp5B9/xOM7LswoWoz7gfhSV2Kz77SyuKv/ic9y5fsC4H7qaGYS4Yg6OwgZtTy2ksuexO/J9e/z027sS3+rd5p3zOLjRMZuLoK4rbgvahFMjx/jWhXtAve3eSovBiDeNEUHKyOZwWVdzuKHuNsxnJy+9VlS/u6U72pcIJF2xcAgsz8hqjIkmvbu3GQtVnCcTxIR/iqYlIxFdBfuVAj12dO+vUZFk1aTNzwOSxnfI/9Jn1q4poG9xhYrpuqGAxvAOSW7aZwd31os5MpNkgQZXJKAzkvIjBiny7n5dnpiwEnV21Ioddi4+ICUEaCuWx2HGG40i4XL2UOzNfdrjjiDtMhK4kvn0tRYcW+O4wYo5D5tMkV1jfVZhaXMTtrJlO0wymZL4SXley3y8OE6EpmS5Kqhcj87Zm3BaEwlAe5Pe500z70Y7QlXL2XbYMV/BLl0/pY8m3+q/wTvWM7wxyDq9dz8aeqIznd47v8u9vvsLPrJ/yf7n6d5TGa06PYRcq3isGDuqufO0OfLV9woebK150VzLiSRygaRYOqropSw6RjAXDtvnca+0nXqB8kZH1JsZ8SOYCRKG+nGmjs72smU8EwXQZQzydsC+ECBi3ksJ6LjNeWORq7jZoUOAw5jyGWBqIJs8YpaIOCxns7D3JqCOydgNPZuHdHEPNpTtyXRzAG6nSZ0/c1Pl1E8wb23ohgckNlA1S0YXoLO7FTja5QciSKdMnjUGECFlnbxYJw9LE46goh2YD5bp3mrE78VjJDPkcVuip7jzxWDBFxxSLnJ4Zos3/LN+VBVUdYU0uJs9VOXElngB5VRizpD0X6sKZis1UiCZCpzHiBjyLpb4ZZASFV1Ops0P8VV2xsLJpGuU2WGHsF/tRCmXnhCt0jt5BRgOTgV3yS0kycvpBZMJn3KJkrmfKArs/ijW+5sAkWBaVdmYEphBzQUG3mjwS9LWiZ0S2tue+O+Gx9D6haCIHdsdR5LBXK+ZNRfm8x93s5SA59jIa9Uo070f972IxbvtJvqO6WngZ+z3Gt0t2U3rulGBpj4uTrmyOFXNbMlxF/uu3fsCfWn9EY0ZWdmRjpXitjOex31AZL+ZxseThdMmvNB9z7fY892umKB4sBPnOQlNIh7sX8nL2EVq1kmO0bXCnCfN0J1EOxrykhJJ8IoeZJmkylLAOYJIt/q6XInX2hHWXRyGhKrD9jO8Kwo8RWf+TvswsCGYe76gLtuQ1LYnyad1mUqi1UC6igyQ3NuOM2Z+wg6JR23aRGWtGT0JHylvloGhBJN26qnrSfnLoM3ptfKlZO7JHhLqUoiilJxcWM7llxDhJUrE5KT/FGUB4gGbyeD1c46oSAzf1P0nOujHRAJzBN4UU9sYIclzUOCcJyMWLI2FVqyeKPO+hctgXvThr615o5prQOHxbCuckRlHCnQL2NAvaNsv9LHYDvhU3c3vs83QhlhY3wsf7S/5V8QH/u8tv8Xje5u8z2d3fK57z1foJ4cLwfvOUlRmxJnDpRp74ln9x+Dq/2x+xJhKi5dZ3PBwuuOlb7Cjy69AUIo3XkMxMf0hTDGd5KcnwT7h+6jLjn2ZkPbBUvmeytEQSjc6ejVmCVPDG5OTXnBCbIcIiR8ufS6Ei6KHuZMwCmO1m8UJQw6sk7xTUZhkN5Zj0Qkyv7BSgIKev/kL7KX0oOYSanW/E18EIryCnmWphZKg00baVWXhCaPbHBe3Q+2LSjFuhaJvm8VnyLF1B2KpcLZEyE6RsLeAxTY2v9aEJUUyu6mq5j8kIbGqxvTxwfSx54rdcugOfTleyycez+G29X/kgTa8Zl/RmQUoiBE+ohGtkjgM49bkp9eBu6mzEZnZHTBTflJdK3hAxeJVia4G5enVzfDMH4lY655TTkjf2xGPYtPh1jUvokm7A2RdFEb24XS2E4s1KowxsziSK2y7n8QBCGNT8n7BqxIJblQGEgL9a6dy4FR5IP+MevwBnmVaWovA8mrYcwwf8bP2IPpb4aDj5klhGfOtyjoiZgkh+Y8zQvzn2i09IjPI5UlCmkndNVYqxU+kofJRMrdR8nK8RkI5t9mDjgiQmOaaHN+pb3ihuqIzn0h7Z2JFdqLgJncLbwqXpY8kb5Q3Xbs8Tv+EQakK0bFzPvPXMnaN6fBazMM5wu5Mcra7D3eywFwJ9x66BTSeHcjo8Ewk/RUKktNdzYvQcFifrlRrlBTmMJFRwxB4H7HDgVV1yGJdZjRMVBbSnE/5yLQhDKqzPCmwTJW/K9uOZxFaf8eS99Ee8YYRUKeGBsbAyLgiBsEohio4YlK9SS0Hhnu/l/mtxa1QNlHgoAEQN8BsELUypx2HVyPhmRqwjtABmWmz7xVdEG4xEkg0hk1bNNAsBeFUSUPTLmKzytKmYMWgukTwDJrJIpjV7zJ2mbIdhxlndY6WZiKWY/rkziTUsYxZUuu5LKQqOU0lpUtMo30lnpcAeQskn0zWX7sCf6j7i4XzB7wzv8H75BIBdaFm7ntJ4vtc/4O36BXvfUNtZ+IVeUp+ND5j9UdDNtL612JTAwJi5PZ/n+qkXKD/NyPrQFHCMiowU2RuCIFBXIpOZyWNvdrKgUzeZkirHCayRzVP/GedAMyGSciK22pUWS+Ue21pgOlgewiSRTXkmCqvjnM72NXtBjZ9eLyVp1RF4o7zh4/FaZu9dgTtUulj1Cx7kIInN2YxXA6RS15zQklgW6ldSSmEG8vPaeYWLDqvBZ+JD4ha76QS/DyNx9nC1ZbpqsjmYOQ5y0ESR+Zr9UfxgSoMdJPytMROfTFe8Uch8cwgFOB3xaMef1BnJCwRn5bMl99+EdBQOe+gXnxRVtSwSUZNHEpx9F7LApuyCavqFQCoFwecna/1UrlRwKZE7NrU4T2oSa6yK7BGSFWrJxK0qCVebxSiqLkUOTlqDhUYMqDpB/YHkNWx2es3oizGLYgbUI8KIo+v+JN1+YSmPgeAlN+fCHVnZgXtmzxgdv7z6lH9sfhU76obaT3IAHd3CG1J/HeODfC8J/epHQtfk2X60Vjb50omBVVflgzylLJv9UXgP6XlTHoJfSUhmKC2+ifxy+zEAHkMfS27mDo9hZURiCeB0416ZkV1oaMwEVv79LrTCQSnNgsJ6L82DtZi7A+FiLYjTsxs5EFdtbo7CppExLcgYS9envdkrL6186d6nAzqPE9J9q0vippH38OLVOclKSvGZxDUg62ucMHERJkQl2su/s5it+bCMeozJCjUxUfwjyrIURhjLbEKYkTUQLoZduCahKrBNJQ2NV55WSgnvpZAIjZpCBmT0pE6vKEcKtMhIHLczN2c7h8xxSsGHWclolRB+/hn0+TRBCiI7zPiuIraK5CQeS4hZDWkmLwe8Zi9ZJRQbH7H9JM/mHzn4IzYroBKaGMtCn30xQ/TBcK/ac2mPuCLSTyUbe8IZyZ9yJrC1Pb3O7o6h4onfEpARz8oOWAJ7X0tgJwFrAs4GLdQUGU6I4BwWk8GMegbhAnzO6ydeoHyRkfX2NGGOc/ZryFVzgvm1o06FifEBbvegFtTm2BP7XtAQYySQK0G2SpIyTl04Z4/xZ6F4acP1/qVOPaaHJ41SDkfpsC624hA5zQIJnkru5oZ362c8KO54OF3go+W1cocJEJzkmLiDEg3VtTZ29TJjXYvBnL3Tz6iFVoIa3TMhF4bLlcCHd0VGnNIBCGDvjgunRVNJY11gd1JgRWMo9qOmC2uceFEsSoJWbO9NhHnrKY1X85/AH/RvEjCMQV9Lmf+kjvpwhHuXJJKZ6VWGag2Moyh+CuEgxK7Rg1qL0HUrcC4oUqWVufc6+28XnkNSdwUNXFSVySu79BAKWxllpQ7QDLLJmdOo3bIiC+fRC8n/pbDY3ssBeSWde1KMmWO/WIurGRvjlPlI58VJaCT2wO5Clm4Kb4dFppkOHWuI0Qi7v3rGw/mCt4oXPPFbPhsvsBNYhZxNP4ixX1dh92PORkrcrXTIhIsVpp+wu0NWgsRVKwcRijbpASQRAcL5YPay9lNgp3Jt3H4Q5MIa3KmiDyU/Xz3EmsjvDm8DsLID3kzcd3dsbc9Df8HzeZ033Ut7ZOdbdrR8ONyT91mqAmV/wuyP2BAJ6xo7CEk/rho5sJMZY5TvwSZEQFU4GVVI9zWFzZU6ZlZlYr6czRJqo4FzOZT0FVyxMKLiicA4Lzw9exaA6M58ROYgpF6fDMXcS/JhKr0/dikUBM2L2X4gqugARAEnuWjyDEdriJWcAXYOojJMaJtZAjhTMZ+TiAsJ6DMRKQSmaZEH659JY85YlZkrFK1Z9rFzo7p0f5paHW+1gNFDOhOENzWhtKLImZN4g6VAiZqbFSMmCnIWgwRQ2n6WMa7SCGSsRh59o8KOWAgJGcD6gB0jw1TmmIh7bs+NX9yIL7XZGKPjzjc4xOsoURA29pQTw9dOCpXrYk8/lcRoFsK+Uade/R5tCHnUEyqhKARztrb/hOsnXqB8kZH1ph+IbUesK+ztHnO3l4NTORrRqVnc6QzeRjrMJI0zUfxAYkJh0kgmWjH76ppFCaSqFxOjuLDe6YKujS6IhmQ/bm92UhRtN2IZrwoZQmBuHXaGT08XWBOpVjNvlS9yvkmoItbHHKqVbNDN7UEO2pWMZJLUNt4JzMzr95mvGuxpxq9KzKQL0Itrorhn6gJuOtHMHwfiqYdVmzt06kp8RfY94fYOc32B78TnwUyzhARCRi/wShLrLMYbfni6x1cvH/Nrzcf8/45fY4qO16s7YhWYOx3ppJykqhIOwjBmfkFGOmDJTeqahRuhh9NLUu/ka2J0s0wExBAWsnIy0Uub0JmJ0hd+JUlhJV1OsvM2k274aXSZ3j/ISK1UO3tFl6IxUnCn7vvc3j8Rh5Mp26rVwmfIxR4+CPKSRkZOM368XzodhadD6Zgb+V5u5w5HpLMDl+7IMdZ0biTUUUYhZ5ygFBYZSwej1WJi8fmwO3VuLouM5JgQibMkwNrbg5BP718SVrV4nOhoNu6PEANcXcjBF/Rwq0tCZfENPPNrbkKLNYFDqNnqZuuIHGLJA7Pn/eIZAI2Z2NgTfSzpY8mj6YLP+gvs0VHdTAtZ+2qr3DDl0Xj1bunqxSH5NCz3tUgeNj47w+Z8KGuJyW3TqfR18oJApb2rLFTdZqAq8Ov/yMj7C7jM6KE2BGOws8UYPTxjjbndC1nYaUFglmfOzJ5YJV+MgEGQjWiUh1FYSf3tlxFAdOrUqqGpcdWqT8jZc6JrzESwx1G4QKUSTocpS9lFgamjJj3MY2HlV6SRpJfvS9RZBjMISiO5TcUytp/mLLeWgkYiKyjFbgFrZPxyGHNCfA6lnYNwDJPxm4VoF9FGdpCdFDVTBYxfV0IgV5M+r3YPGPIzZrwUu6Eps0LKl6KIG/qSF1PHD6f7fFA9YuNOfDpd0dmRTXHCEvjR+Ia4yIaKB3YStZ7vKM2cn/W36xdMsaCKnsfjluNUkrp0M3l5X0ZVT1q8xNKoLwvENNL8HNdPvED5QiPri0It65UQm8YGMeZqjaoUEu7sdYNWaNRZYrDig1LJPNXueylOTr2McjY62789kELVEmoQS9nw0WweQshBemFdYQ86p0yMfVjm54XFrz1fXT1j7Qau3Z7KeByBW9/hjhaCZkFMYA8nIatOE2ylUzanAZqKsO0wViXNIVA8O4gh2XEQpCDlg2hxBPKAmkFnl3mOH9S+WsY67jAS1g2mazH7I6Ux8n4KgdxDVVA+uoW6zLNzO0XA8HZzwzHUfHt8ncZMHEPFi7nDHsTmPI91rDiZEqMUIMP4Umqu6dqXYgzCusv3Ash27YmTkeazxLhAwU7DG9W0DWsz0mb855+F/qSv0FTE4HQWPuV5sZCykfGZ0fFM2qCB2GoOxzTLeKgsCBfdwmM4u0wiioeAOYzyu+tKU1FdhsBTbpTp1SdHOQWxSrH0QvCT7hGsiWxcT2lmMXAyM9duT20nGV0qaTtxouwwZ5t3IBNGhbw+EV/cSj7W9Sb7gyQ5bSwd/nqtaGCQg6+tVA3hMOtO1q4eHMlqPbuGusgQSh7OEih4z+15u3iRPXq2tmfEcuM7+lDSU/JWcUvvS67dntJ4ftTfE1QzeQCZ9BmVi9KPUggepdCPhYWylIgIPYQyJA85X0WM9lRhcja2SL4aYkTYktKOs0HY5HmFQdwAubg+v2Kh2SuQzfbSGqYSD5Ow1TC+o/DfsjgixW0oyRmQ9eMs0WuRXhn8RSscPpDG66hBo12NX9VCej1N2OCEdwUywlTE2GgMQyit+KHMQQtz9RoKsrfbYZICJiHSpcM3BcV+lDFL8hvyNseP0NSEThQ7oXKUt/3Zd+qlEWmqzH2MzkJzhrwY8NtG/WWCqJkAqxEnZixFzZPQEi1MYimfJ1qD6z2ha/Cbmnkl309/r6R/zbBZn2idFB3fGd7g1nd5HH/jO57OW259y4upo7Yz71ZPea86cQg1N35FY0Z+NN7HY9jYEze+46I4yYgnQHQIUj8muw4nGUA6BrSjeBuZ8fM3hl/qLB4zjpio1txJiqewsD0OhG1LLAJWK1hzOMlcrq2ypFVIkwMUZyS8ulo60XFa5LSqejH7E2bwYqazOyc3zgK7H+UwSLPqnKab3F0NmDrwdv2CIQiRqrNHAJ5OawlQG7TDdm4ZXZ1OQsq7EOMyNGobpPvMxmuQiYexEVZ6pF68QKZZ4PQQpUCoSvy6lq41zVdP4sJpChlphXWFeyZmPQmyDMkMK/m+eHBHyx/uH/DuvWccQ82H4z3eLG8ojcekdVmVoptPSb4qcZUZsc6mE2k55fD4gJllzGPgpRGbPPhlDsky/bjIkaP4oqTPLe9fi5pX6HWFQ+fz5IJMAgxlLm3UEDBebzRxN8UBWJEtrlvpNGcZCQlpcxKvmkbDziAjYono7TdKNla+iijUlJjqfPZgMaeBOJV5NBHXcvCaAN5bLtxRAwJrfqV6zMFMPJ02VLeGcj8TNk0+xCXaIeTnIBF0E/HQXG4Z374i1I7yec98UVMcxPY/FBa/LqkCkjgeW/ymxqg9ubsbFlXeOGEoX3ou7GjwGN4vn2Yi7MaOPPRr+lhS4rmbLwhYSuNp7EhJYBfavAlbIkEy7ESWqk6YcdUsnyXGxbrAqFTWGsze6/vS7xc9vAmLC2uKlhhGscXXzwIoGb3MKhMAM8ZXanXvVxUuFFlim5Q00bllvKj5ZZkU7yPhotOcGw23dIIYMc2Yu15ys6qCoHuRIBUqubfLfTUhUhyGXLxzVEO0KakT3cJ9SA0MwgMJm0aa+soRaifBlmq2Nl+1UhgkN+6zQjRnYmkjJvwwh72VqJDY1oROzdyGWczaBlUmJpQXoLBS6OyGTEOIhZWD2waKuz678oZ1R2wKzWESlMcocTeUcuZZjYyIVu9NROIWnMXOktLsJvH8mYNlio4+FjyfV/xs84ivVQ95OF/wB8ObHH3NVXHAEvmF9hMeuB333QGP4aP5kt87vcMxVLxbPeON4paVHfhousdF3fPUgUZzy8gsjfbSeKuwRGNxJyXGf87rS12gvBQImIK3IJPm7N3pZTJlU4lhVFq8zkFx5nKpwYOxqZbsjORSqXB4gm3tsSf6cjGI0kOUwmWVQupGzaRGYqWMn6yPxMHydNrwWrl7aRbYuTG7/8VaEYKjpoTWNeFqK6+dEKMYCRtVaYyTFF/qocE0y4aYDuyU96HFDfOY5/d2kI7c9KPAqBuR+sXNStCJ2mHVkyPlVZhUyABh09JfO/wqUJjAZ+Mlf7r7IV07EKJkPdjBUBxkhm59EL6PsuTN5PP3kazbzYns4ZHTihW5Ml4f/jMnTqxZPrcXMmNY688mZ9aqJE4z5jhhwquTauIRNKCwRMAewwJtp+/o1ItvjUrBo405WyiZCmIFLYvKjYpNuUQrHIdlnGktcVVJ2Nxp0EyeZaSZTPnyzyfEcRgzOmf6QHkMWCvPz8fjNWvXc4wOR2QOSTKpxcNhFLtuNc5jmIibLpMd07hyvmjoH9Ts33IEV3N8M+KGBjuBG6DcRS6todkdMacBlwrNoVRb9ChE7bYhJoWPtQRncCN8MlzxuN7wwO2YouM7031ufEdjJp75NZfuyC9Vn/KH0wOezWsckWfzmutaCvJVMYCNOVQuxzIcB1g1y76gbqpmNNmt1ISQx1XxIjlSs6AwZ2q/bG1QFcRyJTk/4wSKWCZlVFjVBP/5N/mf9GUSkqUolzkpOluXhKv14lCcOF4a1WHGGTfEJespHVTazIVOBAwpUC/7FiU/mJVKuFU4YKIcwKap5TvXwnSJiAhZARN1rGjvTvjrFcXtIIV+qan3c8BOgXlbY8ewjKG0WMAYjDN5rGRmxFhv1ahLcQXW4M/iI2LpcqxDrEtCYSlujtgb9TeKMfuz2PT3fY+/t8nmhZmXku6HNpMkRDuon9IcsIWlf2uDCZHmo1vwQRoF01DdWu6ONZ/1Ww5zzf/+8ps0ZuLhfMGNl3FtYyf1rnL8Yf8mD1Y7fnd4i4+ma55OG0I0/NrqQ268jIlWduCbx7cZfEEsIm6IYi/grBKXjQSyjpMa60nMgy8/f9nxpS5QoltsrqXzN5osOWb/klgVsvEbI5CrBt4tsmR9iEYN82vrRZIMGC8z80yeOs9EQXgwJjnFWunaY1ViTr1md5TY2QsZtB+0g1pjZsfN1PGV6jlWGUbvlM/49ulNCd3bymsUd4tTa9yupKIebHbPRfMl0usnX4ZzjxQh+JpFFaMs63C1xb64kzwbTTPGaFiVs7hROTf7E24lD2ExzkueTYwqR02SQmAzcVmdeK3csbIDN1PHFAusicybwLwqKJ/63DHGspDEUEVhcrpskgfWVZb6uWc7slxt9ktxchRiHmnkUxYynvKL0yKJZDecFSo/+SX5+S8LIKoDEMg8yS3FZK0WtCjGZYbtFHpOpEtk5JM28sQrcrs+e4r4+xfqJTGJNb6PMKn3hm6QhIg5CNE6xzoUjvmqxR0ddj9kfxQ3CP/o0XTBe/VT3ipe8Cy0rMxI6yaCglXuttdDrMiGZfFiJchQVcpYqp/lkCktd+84uv/jI/7s/Q95o7rjGCpOvuTJuObffPwe5XFN/agBRT4ThyWWDjTXJKbgT4XjQ2nxNXlm/tgLz60PZX7mHEFTXOV7qIwXY8HQ8L+c3qM0M5/1W4q92OubftCARlFcpSvW5ZLCjRaQKqGNzmZzQjmUhLsQ6gKT5K+p0DqpD04to1RjTB4nhKpYVDGvjiMrhmPNmVXDuQmmEuyznX1S6yAHdqgcdgr4ZIKWDNe0mIiFzWM6e1xUfCn0L/9Ol0iwJruHE8LieWIToq6qqflMMYM2V4cBkwL3TqPw8VaaE5X4IU7CHtO4JVROvIp0TJ6iC4wPBOcoNNAxtKV8h8pJBEReXBWQAmAnD05HdrOYbaZw2pSUbCcvhaq+dmjLXMD5Tp79FD0SreRg4aMS0wd5RgxMa8PF5kiIlvfap1gCH073GELJrW+ziue7/evcKHfxn8ZfwEfLdXHgzeqGx+OWR9MFU3S8Wb7g0XTBH+4f8OzQYUdxabbHUc5Z5cf5VYVpijy2jBbc+L8hmfFP9UrQeFIEJJIZ1cJj0AMprFrhmTw/KNJQL4eWTRt8tTh3+nQIasGRJLo605cNxeY03nPHVUExWlFm6HsyZQmzSoAtxDJQWFG7XBfSqX003ePRsCGdnHY68/84CW/DPbohrtulCwtBMmlS55hujWa2oFyAJKM2p2H5OYtAj4UaXSVCX4DQOvHfuNsRxxF7WuUNyL7Y41+/lIcgRnm76glgbMQScQR1ka249a3IjIPMSDPkGdXnIEmKNa+EwuX8ikTw9G2JTaOauLD7E7E2bVLJBwdrCbXIyZP0PB/s6bAYX51U0zcFDsn0IEZR0uh3amYnyaq1o7jpMbOickyyvhPPISAGV2eW4rZwC1+l1Nh1JcbaUTrcuBVCtBlmIZYnCbyup/RMlM/URr6tsjrD14aymrkuDrxfPqXTALGHfsve14Lyhih27v2UxyFmGIV/kNQR4yxIoLMUL06EuuXt9S3vNM/Z2J5roLETu6YlvG35vctflE1df2dsK/xFhXtxJJYF/t5GsnnKgtA5ISEaQ7QFTh+oFHZWGc+N7/it/Qf8j5/9DOPsqAqPD4a2mujKif1Y8ex2RVl6js86tg/Vx2LV5PcfnWNeV5SHKh8qiYgpYwKRaGd0JJAL6rjuBLJPChXvZWx3HDTo8QzltWIwFhpdL4kI/KquacY4n7PNEjcvWsmFEgI6+qydBSFqExNU3h8jZxYBcn/sac6chaxSSUgKqIIJmBCuVr63ySgOZINdin0gp9YnYr9vS1wqcJyRuAcdWc2bDuMDxc0p8z1ioZ4jpynzicT0UUdcSAFxbjAXS5FAGy+NkdFRakZn9icZ4em6MUGSzBNtwHRyT0OjkRCTrpfSqWmgkzU2LSPNVEhhLf6iJbQF81q4IACv13f8avMhz/2avW+wJnBVHIQnOK14rdxz8iWf9RdsixOvlXtJMSZw2R7p7MCNX/Fv91/ljeqOr66e8eHdFYNy6qOeV8xBxjrWEFyBcSGHBdrd8XMvtS93gZIO4OR4qgTDFFKWRhtJly5dqm7mabauXbc5iYw2rFvJeziJeZZY5+ttaptsp564GjlCPTHyQRanNWKhH4IswqaCnY6QtPMaQ0FpPI7IO8VzvjO8zt3YYjyUu0mCAptKbJIHg7mT4D5zGsC28trJJTaRSWcvZLppzrPR/L7SJpGIbD6qHNeKUgLUh4TFyTYEIQwPIzZKEJYdK+xpIlQFoalkvFQZIRKOTnMdCj6ZrrKD7BAKDcXT1M9xxu77hZuQLqc6+oSSaGdpe/k8THaReudQw7AQxzQY0Vghq6U5cv7s56Th89f9gi83zBgnsHfiF0Tr8ibvbk+YdYPdnQjrhrC+kJ/TeXXxdKcco1pkh9ZidgdB6q4uCJuVqEGCdItRs6fsrViu5yTnthG0Rjc9YsTuh0xENQUEI8nTQVHFaSzo7EAfS55Na+4XdzRm4kG5Y77wTKsiJwgLItdhX9zhnu0Im1bI6Mgzk1xufQVzcFy4E3+u+QE/nO+JhT6G1k1Ctus1ubwssI+eY1YtYdOJQ636HNljn+f602sN0UU+HK75b9ffxGP41vAmnR24Cy3//fd+gfU/XHP5yDOtLLU+t7tSJMX3DzLSkjDACdfrGDRJgWcP24agwXISO7GgmmaYxGZgs1KLAZ/dfq21LynUUMVSJtI3cq+zVPQ05RFgLB0UrxBCSUVBahR8wIQSJnJ2Uyo4hMAp5mQyirCLvF8NxqLRBGNFTnLQnFtM2xLhlipJ3lGUJGZSNymc0CSURU04z/d8C1YNz0KrXJMceOiIVgoop8GORu3w3ZgcgNULqp8W8YMinzbJ4RVVsaMqfUxyyxZfH2YJfk0eWsLFcTAgv1vH7iYihp3OYqzcr0z+TjLz1FSo/NzoHhhScaPOrXaGcRZX5LeLOx7OF+x8w1eq51y6Ize+4+hr1k7CMe/mlmfTitoKAt3ZgTfKW0oz44hYEymtxJo0xcxdRDkvVpvOkUiladNmaUbn8GM5eH+5CxQfoHLZJyK2pczTT4tRTVaFlCEf4lF9UPI1hjwesNoppj+X0YbCZUfa5H0S21pZyfPiFBkCdn9cCIG7kyzOppJZqTGyuLwsMI/BmcAThZ+v6perSztMRK+jo0QYTaRb5zJnIKzbxSfBGUwhXXHYttj9oBCnohMJVdq0QrpSh91kyW17/R1p7JJM3HTGm1QjxvtF1VRY3BhgsOqDUtFH6V5fL275xF0hQVsBe3NYxmLDCE29QLEocpLHUTYv7hR8F9Pnz46e01JsJM7R7AVCTjwMRVdSbEGsSmLxCuf4U8DEsHh8aNfpjmKeF089ptJiqp8wwywFgjE6h/dLIjXI93nvEltXWZWW4PDY1dDVBGtxz++yXBPvic7mjZoYBTbWCHpTOYmdV9Z9aJZn5tF0wdfqh/xXzQ3/87DK5k7FrRM/iaheDrWamt3bCgLTVVIMK6HUDCP+Ysu8irze3gFQmsB9d8elLXg0XfCd2/tUNzraS0aLsyc2NfOlzPLtkxtJdNZclmgLYmGwszjcdsZzjEvx/L3+AdOnK7YfTVRPTlSrUrx+9ifC5eql7JaUK2RULZbCCe3uQPmHn0jxdv8SE9WHwiGjnbrExFYOoVJUJdFZUONAtiuReR+lUI+FY35tTfFkh73dCzE5qgFdOuSM2K5jXyGCUopcVNBqMiHSRJ8l83/sSmRTPIxmGUviBGkwRkYawWK0qcnjk34+I//bZYSjo+HsFp4QGxRlcWY5MNWqHrQxczpKMgaCEvgLi69L8Q05zfm5tMMEo4cuFSQsNAJt+JJNQGhEoWXnsLjUKlE4NbpGnYWzn1Z6XyEgbtu6H8xBDvd0/0KQz4ZIic2kqLDe88RzcbNmms1B6rjRYieY41LUbl1P54bsf3IIFY2VP3e/2FFaz+N+TWkCe1dzUZzo7EBlPGN0vFs/pzSe29Dq+9OQy3SvZw9lwAxByf9xKRTdf2B9/EeuL3eBEoLo7jX23OQYb7dI/NJCAlnAk869k2IHlpyessgeG1n6mqo9q+qQtUpfNTY+E/68FkDJSVZhz/DOG4uV+BmRlwiXxZGN7TmEmrvYMISSi/LEtA1MmxJ3VFMtHVmYzYr49DlsN4tsbdXCKN1VKhbcs10mBtu7k8xVjZFRcBp1gDxo/ZgJhqTxwNnBF6+2WVEiM/VCjeBE52/36pBZOuwYMaMT3wgTeb95yjFUbF3P2g1gRKqZ7ne4WGFf6L1aq/zwNOQ4gRwsp06ROLcQ5pzBBKNdmMj3hGPkiXWL3R2XiIFUvCTvE/UjeJVZPKAHn0pOX3IM7RolMsfFwv/Y43Q0GasiIxFpzCXEVzIaYia/BLepbw5GO/NMYFwKk+O7G4YLi51h6gy+gvou4iuB5ZOM8HTf8Pr1Hc4EvjO8QcUnfDJfceM7Ph0uhdg6yndiD0ouV0KseIWIiVPcHTCrlrhqsaOnfiGFxFZzcqZY8LrKfI2JzJ0R9O7uJGt9t8fUFdXjgxT9F2uYZiFFK68lqrLgfrXnkW/xGN4obulDyXVxINSCjuBMHrWZ0wCbThoVdWPOCcTqQxK2raAj606JsdMi0d6uFkRPu2l7d8T245KwXhZ5bIMzGUUjaLBeWRB17GdPqSC3RJXAGh+xd/tXtm5DVYBXn6GExIHEeJwGovdLvlBIaEEa8ehB5RVpcaL6iIVdXFp1hJaRX2c0oX5aYjiSC3iMS4J95qeYXNykkU9Mo8sQxDdr9CJfTu/da/OnHBk7zvhVJaPWthARgaInflWraeWUR0dR3Wqjs8K/0gKJ04SZEK5YW8p+lQqvRIQ9jbnIknDMUmW580sjfgnVlJFQsIUWWjLWibXDd4WoksYZdytI4rxttHCAqpj5oHnCTah5q3iBj1Z4gr7juV+r43dJY0YenjZUzmNVejlFx3O/pjET3+sf8G79PP/3flZ0PDVFqbE/L+whn0mcrZk/6fpyFyjWggniZVIs879MjA1SZOQDripyBwaI1bQPOXvH9ONLeTZmGJfk3LoS2G2YMqSeCx6vD1ZCNNRO3hRyUMSUWYEUQLJgCmo7y5zdNxxDzYU7YYmYoMFLlcMm8lwv/ixms17UOGnzP2lWT+LTKMnSpHDDcZaHI6ERScKYDsNnL+BiI4fIIGOhHEI3zXooltjDSXwwFGFZRkbaOUbARHpf8KC6Y1J1h49WcloKMfHKhEAlu8WmWmSv46SR9Xqozh4KZOzgrPjOJHZ7GtlUpbiMqm188mIAMrcozZ4zKsTSGb+KK3Vm0VpJNDaG0J1JFQ8s3gzJT+KcrI1Cv5rtkoLnzDRnBDFcrHK3Z04DpiyymiF1NdFa/Lri6S8X9L94om4n3ry8ozCBHz27AuByfcIHyzg73trs+LXrj/mF5hMClm+Pb3LpjjgCB18RC+GgmFE6UHPoszFcvKjldasCq5tYMqUqd5FPDpf8fvcWh1Bz6zu+3nyayauAoJXJ0fNwJHQ1sXa454fF9AyyFLV+MVFoeKU1gY2ZOcSCJ2Er6dp1YLgoqJ6bHHUvrtQ+Pyu2n8VSPxk2nnM/tDgMTS1k+ZMSHVOyb+I+ZXVOKV43TpxUU8ec960U6Ikc9kafL+P94pk3LJyKV3Y5CJqFlFUzCSGIUUPhXCbHghZW2jCEVS0j4gT9JyJ7QEYUIOqvM18rGRU2i0LxDJHI0u6mwO56ifE4jnkckqz4k1+S3yjqdprya2dfIFhUQMlg0BpCU0JVUNyels+gisFsADd4YmeXEZeN+X2GWoocdEw7b2rcST6r8VHI+ypxxhrcM0nyjrUjhogb7TL2VluNWBhxJvYBGyNmP+HuBvymlls/+KxiIsKxF1R7Y0e+Mz5gFxqezJuMfl67A84EPqgec1H1vN8+o7GSU9WYmQt3YIoFJ1/x4XDNr6+/x1vlC/5N9x439WvMa5eLbigF+dICPAXlxqp4iSv5J11f6gIlbGr8VSuLUefPyTo6KXHMoZf573FYAgRDoQeqdKgp2ybL1uZZKm5TLRVfOoxB/n2epYsqXC5ORArXYo6GeDwSkxy5qXJuzvnVOYmu/l7/gAfVHUTHD06vYUdDsZ9En69k3bBqcDp2CtoRh06JeGdqpqTUMceecLVdZJjawZikfilclqwVoxZdIL4oPiwFSAgiQ74RzsP42orq2REzBMK6grYkh10FKa66YuJ+scNr4uWPxtf4rL/ATJrSnDqjdNgmBAry6Coej5iug6LOrHBz6IWoeA4ha7FlzjYyo+m4sSqzC2/6fk1KAo4RE1+dl4QUHeLaGq2S7rzHHWLe8MWLYYGDY1eTiIP2OOTDIBuFGaNrzC7QcYKAu0bWx/4oP7dqcrEaihWnr3j+z7/we/zq6iPuFXv6UHL3VssQSk00PWZpbmlm7rk9fSzpzCAusnbg/fYZ/6MBXzucwtoGpIhcSUZLDppUX4gsSe7hoydX/As+4KJ6i8NU81v1Vxl9wY8+vcfbnylcXmsjcn0h9/GUumgLRS2k1EoIpaGwTGtZaze+I9ieQ6wWWf9oqfYed3uS9dJWgopYCywKDdbdmfGbqiwUHcnKEEXlstlgXRE65Z0ce2mWmjJ/9+Z0FmGRkqiNqP6yX086jPWKzmXVxyu9ohzaZtJGIcTsshpWDU4drzFie+5blcafXB4fZpVP2psSF23yZ0aOJu/RoRZJ+fRaS3HX59/jDmKV4FcVvitxzoqDqbyi3NPa4qs6K/rsOMtotSpkvKnKTnOc4KIV/502pSBrQGBl8ZUQ7+0kJmr+9a2MUfT3Gc3M8V1J8XQvz9a2W2TBo2e+1+COs6BGpcPthiXKQpsQd5oIl6tc/KW9219t8OsK18+UT/dMD9YYH3AHUdmhz7/bDYwPVpS7URA5a5jXsGoH/vWLr9LZkRDFE6W2E3vf8Fqx4/+w+i4Pfc3PFCP/19d+m0t75HeGd3i3fMZbxS3fn17jh+Nr/JWLb3MMNe+XT3niN6zLgVBFgjP5+bR3J/FraUspnsxC9A6m+txL7UtdoOARj5HZY1K1WzjNHVG4r64yJyQeT8Jj2KyznDLNkhlGiUe/3C65PUA8HMXlkUJITk0tKIuiNgBJPcS5W2vXqQ69lXn2p48wmw3hao1vHLGIPJ2Ed/K19hGX7sCj6ZKTL7EjTJuS4sVRHqJVJfPGWeBfe7tXFAXd1BSBmGbiKBHv8WIjM0sric6po0Xh5ZRoaxLK9OxGTNmcW8h4yUJ+ELIhTQAA4edJREFU9oTrDbF0VM9P6pRpcC+OYqqk+T1y/yO/svlEDoRoWbueT8YrAgY3GKoXwzJCKpzklmhhR/I2CVEQlJT+vDtmtU7YdlKM9mJiZ1V+GLq0CY4L92j2mNLkgL3EP4qlU7Ljq9voY+mEX5CKXi+bmzn02dJfPpDJpGAzSrcWGiGspll8WMlh717syGquqO7JWjjGtiZUJaZr5EA89ErQrJlbRzSRq/LIG+UNJZ7rcs/9eMeTecsh1HytesgTv2HnWxo7sbEjLkREviBppyD/nNNWC5tJvOao6rG6ku9vLxk6diV+Oxc/NIR/2vF0teKp/p7HE1S7yOs+svroICT3GBfytwVzSJLPOVsLpBHLtJZ7eJhrAlZTl2WdNnYSxC8K/I5mpsQ0hlADO6M5LEB27gUWV9hEyB8mDJOOjIS8bxXNTdEb2XEU1FzS5W77PHk8jUBz8nNCJhoZL9jCEvn8Us2f9GXmgCmipPrWS3K1PU3CUdu0CyIK4tGxH7G7A7GpxcZA1Tu5AFg1ixdTsi1Itg6lcKEA8dlQ9Dg3NcZoMyepxosrsxi2mTlgkzO3/rw5ihw48dJiVRC6Bvf8IM9Ten9zwBxkRDVfyHNmRy8eW+kZTXlBVSlKstc2wv07CmIgRYzsNcXtoMGrATtIxIo5U4ZaHelPVw3FTZACXItUqxwbjGF6sMaXlkJzrygL/EbtIfYD1fMTvisZ7zcc7xeM28hFOVPYQGMmfmP1XTyGJ77lk/mKEC3fmS743f4d/gdf85XqGV9vn/Eb3XcoiQSgNDN/eHyD0Fp+sfmExng29sRF2RMtFH0y7iOnUufnpJQxlB1n4vifCUnWHnqMrRaTJACj5CfKZXNJN6tVN78kaU2Iwuyl8NiuBTlJHIiyFLv1So2FJoF7aWo9LFtRRcCCSsDS8aZAp6bAvPV6nnnOrQEXxLnSzHw2XvLB+hHP5zXbsscEYUSn1E8TYk6qzYe7BqXFVZvfVzydJJRw1QpBcVbSb4KdE3KhxYQ5jWKTf+zlMzmXpZ/U+nnTmKsqGd5oqR8dBD3pdGQUtCjYtiIfNAhyMnc0dmKKjrerFxzbit9eBYbrmvamWzwjkpPksSeeTnLPNyv5jhIaZG3elOzdMftLsOkWN9ugc2S1HI/F2eFvjBomucXfwFrijyF3+4lfauCXIP/Yia+GSaZrtciO0ygrRZUTJIYgmT+ZROacgyqyVJKclDrWEk1cCIR1IfLw46j8IfX7Wc28Wz0T9dUssevP5zWdHfigeszKzDyMljeKWzyGKVrd4LaMqmHc+zqnmqZu0LhFQZEyZrJ7bnoGJ0/57Mj93Zj5TaFyuH7G3fXMV52S3wclmCsq0awFORpktCI8F09sW+lwK/n+0xy9MRN9LHm/eiIpxnVgWhc0qjLJNvlIIrLxQdeLJkifdf5G10547UIVJCzFUZLfTnHhsEH2azI+EDqXfz6PXPV7BNRrRZLFE2eFoL5IwPwqk7iVcCr0DiH9m0HMEHNasxqnZZfU2sFRR5BDkQMGs+9JlH0k+xOle2IM+EiRbONThMJhzoTlzD+BBRWvCnHsBiWWstzvfhZkNQiRFWswk81jCBMC5sWR+f4Wk1AUFTfY0YuU90JQtXP0J5SSo+RXpRQfthavmxDhOGV0zahhn93LuCjRDlIch5DWA7G0MLCgbZcbVZTJZ3W9z15AMfmppJHbNBPXFa4P1HeB4uCYg+W6OvK7x6/wdN7ws/UjyZwKUoD30z1CtDybVhxDxdN5y5/vvstN6Hg4XeJM4Oe6h/xM9ZjODmys5xA9J1/iBoM7hczXSv5OGVnyATerT83p8xfXX+oCRTxJyJ4mwNIdghy4+2PeLMO205j5AbM7iCpls8rhXtkuvSyXYiOIIkTyXGpxVtUuzj3fy2GZRhVK1sxFg1/GEbEqctVugvxeZwI73xAwHEJNYyfupkakboUSiiwCgScWO5Csx/Fnm7/mAqXkZffkllhX6iS4KDoWa+lDDpCLCsHH0kkXdDjBdMyxAUltUz05iST0sqS4HSQTJj1kxshDMhr2vpaAwPIWayL33J4X5YpYxEUdNE7EfoCiEFgd8sw9fUZJb27IIX9RUj2N9zJiO+8uu5o0qF+k4OTxUYbbDyf5npxwIV7V5buK8i6lBtvFv+WMXEjKHHF2+b6SLH6Ock+OKejPLhyJRIxN9zLxiQKYcaK4U0SxcExXLb6RnfzD8R7HUPN6eSPkObOiMp5DrNjEngduRx9LnsxbelfiiFw7GQc992s6N0IkG3DZeTng47ojVAVFgn63nSASXqImjBH1ggmR+cEW18+5Gy6e7vN41CQFUuIh1E5GtqlBSNlDc8B68CvP2/UNN77j2u05hJrSOG59CyapIfzCawoRg8f2LLLgVHQknk/Kb0kuvnVBqCt5v2dEwGxH4JzKb508U6lInoaMkIWmxK9qsEYSrJE9IyGGOVTOWHEt7Q9f+JpNV2wLQa+V8BkNyvkLeSwWlegJiDx7DoT10iREl4ilNptlGj2oreb0pBGPSUGKaX9IjVaMeYSdVYpWeXmloFOZ31NIxIjb9YRVI8qyUsZG5+GbUugKIuZOYm7oV5WOrxdFTiht9j2xs5F1Mwd8K3zGlLCM5SXPmlhXuP2YC/ToVJasJNtgiuyzYoc5N9PRCSpqj5Pwrg5TRkdTkWSGsPhIzR53mIQMXBjc4PDBUtmZH+7v8X1e43hZ8fHpiifDmnUx8Iubz1i7nq93D9n7hp1v+N74AIBjqNn5hiEW3Dgx3/zXxw+4dgfupgbxtzFZQm4mv3Bx0oQhfX8/hr3Dl7pASUqE5H+Ru31QGauGsI2jGKUlnoizmEaIoMkC3igTH1jIUYmEOE1iuOPc4pyqhMOMtiQnV78El5F4E0m9o3PG4hgAw36uebd7xsoOfDpd8dl0qa+rs+7CCcrRlAvHIL2Wau8TVBpXjbx/JcbGVSsz/9P00v2KTh1jQ4D0MEQlTSZXxxjFv2EtmyPHHrM/YlYN86qW6j4pT9K90xjyUAc+7i+5XyWOwsgzv+ZH/T1ExWMWH5KLzbI5DdMi5QYhdKqDZC6cdkpW7JpsgZ9GGQzzolDSbsckgm8IQogeRuLFRsZSkyfa1U9xdf6nL+vl4LZHsyiUkHFDTpWOUdRN+5MERSpBOBemFkH2zgqQnD2SNty0oXuyzJxjT1zJQen6mWgb4mzx0XLhDmxtz6U9cr8Ra/hP5iu+F+7TGE1RxbIyoyjQYsU9d+DhfMGLKTlKLtHw0SoaN06YWMvnU5+GpNaIuwOm0CBDZOZuD8PCAfEeXKmJ4SWhKXE3R4HTq3L5PtM6mQImqcqi4aP+mjfLF1QEDqHi0s1MoQAv+VEieXVLWrAXe/qsuqnKJXgRRUJWrbh6PrrBjDrGSWPhslDJv6g8QuJgTDaPOWJdCG8qkdybSu5bYXN4Y0KTJLdGVF0i49QC9RVd0Z4lEBsE/UhxGvCSe6zxqv7TcZeMrhZeXHSA0aLWe1W/2EWaevZXkpcnlUge0Z43NSSbgZAPfeOR4pywIIkpPXgKy3OS9o7SQSOjyJBIu0lhFCUZ3sTldaMxMs4ziLniTu+FIRsXJsk6KpwIXZVJv8YnXp4T8zUdVS3jkSKPrJItgdsNsq4SggMZGY2pQbFyX91xpjiWnMaSq+LIx/aSrhipzcyqGDj4itrNkjmlsSTvVU/5aLpmZUecCToiLXg2rPjMXvFe9ZQfnV7jB9znyXElyHmjX3rUsNCQFoFZeIOBpfn/HNeXukAxg5LJxgXKl1nmREyIQ1PBXC08hETGspbYlQqjqhlTkggHkSlSlcKRaGrhAIS4cBm0S09X3K7ltfenxb3VGRk17Y5g1T01BMnpqCIPqh270OBM4H4h/5xGPJKeWuBOOpN1Fg6T2N0nNGZ3FJ+JYVqQhBCIbc28bYSApbwGCifM+MRnyDwFUTG5m70QsS5WQmoCYlQ7emuga7E3e5y1cm8sqpzRDnMOgqda2BYDv9h9yi40VGZm51vuVzsoIu4UpaOsxaY5ZV3EqoSbO+HBtPVSqOyPWckkadVGvSbsElkwe87Tc+PhiGnqrAAw/Ui828ufT8mgP6Zh0E/6MiftrqdZYOQEUafNtpTi0a8kXsC0DaEslk17nOT7rBdGvD32cnicSY1lTJeSkOvF/VeRmyx1dIGvVM/5L5uP2FjP96ctj2fhSK3swJN5y2QKSjNr4FjJe/YOFyKvu4ld+Zzfij9LLKIQCUMU1Gcc4fpCZNI63zeTjpemmdjV2FUnxMibO5hn3KAmWF2zPLPJ6yKAPU6ZY0Qrzpvc7jAXGznI2ipDzNFE7uaalR0pTaAyPidsM1np+pSTkD1W9qeXDf3qEr9tVd57IjYV80VLcXNcjBynWYjAMeaOOaxa7LHHZqXHmZVBIkWuGgl2NAb3bIdtU5p0JG4asMKvSWRgQsSdRkL16gqU9PyBFiepsXGKLoWAGeX9SZGlfiMJpVJkDaP5NlHJzkkRmZSW6phrcmSAw/pA0CJC9mItXKLaBlgDVlEa5RJF9HmPOlb0sr+bKSwISxpNoSqwQmIjkr9JVNTE9XPmkxhDLspSoZYQxGikSM/PM4r+FVKo+Va8ZIpbRUqsUeuEiD3NWeFnlJ6QkJZEDs5FlQOiVWVQRaFom9cGwA6z/M4ZrJVn/Fm74u36hqviwEVx5GvtY2o7cekO9KHkw/E13ihv6ezIyg54DKXxbGzPQ8TgDeCN+pbf273Fvq8FQSnOvuOz9xjPir8UR/B5ry93gTIrG7vvMdsNsS6xw6S24EryNAYqm7txczjJp/Y6KijEW8P043LIK0oSUxebzK+GcTGc8UpATAmmzqoHRyUHxTBi6ionmOak02nGnTz4gmOo8nwc4Ov1Z3wyXIllsEEr7UY2vGS1P05QqZvsPEulrweSTQZsyuY2MRJnDcxKgVcJMqwrzOGE2R0xzhJPPVxuhSfQs3QHZQEn8n2ww0SMhTzE6gFDUCjfR8wkf86ZwFvlC57Pa3a+4cXUYY6OQtNy8xUC8XhanF3TQtZRFakQ1A4khY7liIHz4iVtep16baTk3GnGrFeyCUDukszh1aohwrbNiJzp1RhKN07bj3IgKjs/cVKYAubFnfCZ1l12DA6Xm+UXJ3l5WYjpmDHYwyB294eB6Z4gRymrKFqDLSK3vuNZaOnjyF1o+KB8whO/4S409KFkU/Rs7IkHbic8FAyvu4lS18pb9Q2+Qd//RLi3VeRqWtxS+1H4AYXFvZhUdukwsSTevySlWwOYacZfryWzZ1z4OlYDLVNXbkAQGA2uxBhY1YTKQBl4sxHJ+xQtP189pI+F8GUmQ30zi2/QOBFaHWlalc3XFSmhFyCp46RJsIunCSyjpTQWGuXz+4uVPBvHAXMcSam80uV7YlsSS+GLuWOvBy9gIm7X6whbi1D9TmNTEtyrC7rMe6DyvswczmTu+kwNyidRDxems1TgM1KpIAhahGqhly5Bd/2CuAQNUHVG/kpoYlXIuDmRm0EbUpst3oFsdmePQyaZR2OkAG2XcY/xAb+uCIWi5TpKcoPPfih+JQ7fxkfx0EFQ4FJdXU2M+FVJKPUsMaJoS/EIgvCrX08pnJxQaTRFQoILS3A63lZuSejKzJcKlYzX5MVFchwqhw0hF06hLvC1wzeG++sDb5cveFpv8NEyhJLSzLxR3nK/uGNrBqyJPJov+OH4GqXxfKt/m9J4bUwKWjexcT13oeWX24+5nVt+37wuKBW6P8/jS42TvJGQUc4fB/37UhcogBCkyvVSgIyjVsS1aLIt0immEY6zC0QO8s/n801l4Mez5F8zjItktd8LGbVtc+Jx7JplTpzIgbMnDqNwYOpKtfCSMutrC5Phdm65Kg48mTd4JyqDOTiMBzsFchiZOyMUnoZsgy0ZO9WCCOis3IQgcezTnL0vElydNllApZAN9naP6VpiCLi7PgceZsluUbyUymkPg0pabc7UidbihoiZLVO0fDxe83PNZ0yx4MWssk6zQL9Aln7TNuKcuupy0SHdgxGrfWvhdgebVc4kylfatBMZOkUfgPBcUs4GOuKoyqyaiD/GLPQnfYW2wKgJkz2MOfAwpVRLzILDKjokBE3lWl1sRHppjG7aFf6iwR0W8nMqMO3NgdiJ/whdA8NI+fyoBGwvo8EIrvB8pXpOheeh3zKp/8gzv8YReKd6BkAfSy7dkY2ZuLRwCHATDB9O1/zg+BrlrVHJdMQ3DqOFMCmFWdVXJopXT2gKWRKjOkDXgjD4qw67l0PKTrPY+LMSN8+z5zcaDeSMEkQYNx1R/SrcZYUZLLtZMkfuYs2N73jgdlwVR2IdFpmwFrP2JIZrsbCCzChiZ/tZOuKywOyOFE6ItPGioXiyg+e32KbWcMta7jXCJTJzEEJ9cj9N6zMEIdkX2hknl+eExujYOjUVQTO4orPSnLyiy0wBG6ZlDANZrhuaIocbxkL9QVIelqJb4vith1UIEMTYLaw1aV4Rlpj8q5QoC3IAJpPN2J2pgZT4nkUEpQYrOmT/TIf87khsKkG6zwrMZCZnxlmCDAe/qGy8qHASuTM24lXkDqMmhZPl5DFlT5Ulbt0oH0vGTf5iRSwt7jhRPLmTBmrVSJEaVIEEeS9PVv/Gq1ghRlwvzt/ztiHUjlBISJ87zjgdi9pemj0zCaE3rAtCAc8PHZ9MV/yov8f9asdb7sTzec3v9xu+b+/zenFLZTw/Uz2hNDPHUPM7wzu8Wd3S2IlHwwV/ZvUDDqHmybzh+8MDajvzYLPn+6sLlWM77JHMRzoPaExoml//ZyIzFlvl87yG825TFm5wTslTNsO26PyfROArxcCNYcydUH4NzdzICbr6/2JTqdtnEGQFZFGotDNJXaMPkuKaZo2QOS5v1y+4X+x4Mm/4cLyHj5bC+kXFox1BqOQhdacGvBeEphZOTQ411HsQxxHTS2ImhctJuHG7yjkggBRNCcmwIt+1z3egKiXh1+jPJjfTQVnipwHaUua4tXqUTLPElDvL/WqPj5ZPpyv99ZFt0Qv879S2OwRRRMVIvL4QfsWxl+8GsmOk8cKniCEuxMO6JE4zJi6FG2e/N2bXT6tGeU6gUj8KYpTGXPHzV/I/6cvdnnCtywRAMVULau4V8fcvxNzpOOFuxc7bqr+DBOLJJskkqGD5/FaiEO5f5Y6MUSzxzd2ReHMLr12rk6wWMpp47MZADEbg3fmaxgjc+73pPo+mCzyGt7hhY088nC/5/f5tLtyRjeuleCmf8fF4j9upkbl7oaOrWBHWNa4fMDc7KajXnXAACkusreTy7E/yvN7thSjZD9i6kPHIizspjtW1NYfLPXmO2azF9O3pjrjbwdUlYVWL3XcIcphXgfeaZzRGFGXfHx9AJQ6YZrLiUHuxwnz2FPxGDpwQsAdRXYj8XQjZloaw7WTMtD9iX8yE+5eEbSseRbC8x2nGpCDtfoBmS6wLsCqzPg6LkuTYY46CKEiRNGDujoRVS9i2EJBN3SKxA9YIef8VXXZ3xJgqE5+FVOozKVUOpiBhlEkxVxcykoSMEphe90MfBP1VTxybnkstcpLyKe1x9qR+UJVmr81xsZQvxCsoNOUiO05j+YSQx5h9RmLpZJRjoNiPC8k3odCpOBk0pFKFA9EZzMkrOi7cvni1wRwr/PVKkJXbo8h/VxXBWdxBRu6htIRVi+kH7M1evveuzp5A2XDy3CdGz63YlARNMS7vxpcJ3rPHKx8r+ZBEzfRxQ2R3aPinL36e3hf8uc33+fnqM77Nm1jN4fm3+69ymGv+/MX3+aB6xI/G+9R25ta33Kq9gGTxlPxa8yHfHN7mZup4fmyxoyEUSg4+KwhjVWTVl4kRbFwQyc9xfbkLlLaCIWTWdJahqXaeGHE3x+VngSxvTBtK6riNWTgMXZkLlkTKSmMdykJGN0m6nGbhSfLmPQbxlYhlIRr3Yc4PaOgamdUBjZm57+7Y2BPfR9jSQygWkizSfZR3R/zVShxe1QretI0QCpW/kVxgTdeqM24QxEZtxnNn1yzVa6yKhVirDwVqAZ+3P/V1kDmvpovW1UJ+cwbmSKwL5s4RO8/zacUUHBfrI42ZuHAnXswdxktegz322r23WdGDMVI8ucSNmDIXxUxR1Fbq4Js2QOGpGXkfsydnlaRE0fTvqagsixxSJyO6VyjVPCuO/VYzdnZ9Jv2aXnw07DhnuBzQ8WPA7frF3OvUw71LId5VThJhd8Jdykqs+/dkUx5nkaefpT8DzEPBD4b7/EL7KZf2yBQLtrbn9fKW/9fTX+V/6H+Bw1RxGOT3Xa+OTN4xeseD1Z4nxxUvdh3tC3D7AXM4YbV4jGkUpRwvuzsxv7aR93oQVI66yg2A8QHfVToynDNqEaMYPlEWcLkVPouODM3VJfPrF4B0w9HJrN4exJCqMRPvF7eUrccReL28I9aBuRUkpLjc5vFwuFyDVT8Z5SlFtVfHFJmHhrXYp7eE6w1hs8pkx1SwJ68lnJPiPgSIXuB9NQuUDbwSJZMPmqvVLQ6c2iM4RSUEoTUvkd+/6Ev4ELqunME3YoJmdf3GtsroBoWVUYnuHcb/ETmyclcoHHZ3EjO3qhSCa2Exg5exciZM6+E2jOLkWjhBdtN4Se+pPU65EAd0H5NIhFAVsjZU2eiScZv6ptjRE13IB2xoChkNZcJ5xCDFAppQnJOmuxrfFNjBY9pKfv8h8fQEhbGloEDhcqWp5IpC1YVyAgvs3RFzMy3FS1XJOMca3F2PGcrslp5k6lmlOotqUWIEIsV+wg0lTTtyNwnPsQ8l3x7f5Lv963R2pNRQwHfb5zRm5Fv9V+jsQFcN3Kqx4WvFHZ9M1/yT5z/Pr19+n1tFxq0RzqQbIk6VbLFOvlgWkwIdlZBspwUA+JOuL3WBYk4jJhayqaEQafqf1mL2J3noG/UjMWIbjQ9y2GmSK0Zt6MdJNqKyIFQFdhgXsuagB6ad4fkN2G32ChGiphyWsSzyA0eM0DZZ/y5ZC6UQ88rI03nNdbHlvrvja/VDnsxbvutfF7muysfM7rgQ0u4OUqQUhWzqii7gLNGb5fWDqoeMyQWWOQ0iWVTL6Wy3nbxGxilnthi1yk+vmdNBkz16U2Y7cWLE3h4WqfDgKIznuj5w6Y7i9WInnk0rJNNFO5jNSh6gxy8EvixLGSVtlR+RzOjOi0mX+EJLxk4sLbHuJD49heilDsx78TcARaMEKUpwrAmvkCSrc3wTI+44ZddKyWGZpIjbC+E5jeKSW2fyGkjwtzkbT9i7UyaCx1LHIWVBqFRmfRLnTRPUUVdh7BgFVdj5hkt34Mav2PmGXWj4dx++Q/m7KzYfBroR5tpwW1/l+f6H1QNMgItd5Or3d+JVox0faHNQ2PzdxMLJLN9LEc1K19ooRl049c6oCszFWv6sjlPNMKoFeIfdn8Qu4PpC17UGWFYFNhmiFZELd+Kd4pYfzhc4Is4EPAZTBkywi4w5kSSbQsZG/SzdrI5+JZRSGpwIUmBrOBrjJMVg4kYoLwzlZyReQahLNRk0iu4VUCuvpC1xz/aY04B/40oKlEKRQXU3NT5i9yPxx/CS+IlfZUFYa/EVNQ4gmeO9vsVOQmq1w0ycgcoRrMVYg53sEjWiRZb4eDgJEUy+QKW6K0/J+dq+5DmSk4DbCt9KHIQZtSk580QJVQFNaiYV0nKCjoSqyAhm9olKicraCGUpdCvFlr09ijdhWS2Fk+YImWEiNJIibKdkIZBUNnbxOVlXeXQUauFk2F7Tsk/T4oszTrJf6hVb+d1+2+TiSVCgIiM1JkiT7nZH5revmbuSWBhCCYUN/ML2IY+HDf/y9gMuyxNf7x4SouXRtKV1Ez/bPOK+uwOgMh6PZeOeSWQJhjfsLf/dvZEPqsf8y+PXeKv2XLYPeF6n3C59vwFVS52Flhbqx5UoBp/j+lIXKMLQFrfBhIJEZM5tRok6l65rKzfGRrEz9n6BjAsrB2ziahxORMiEq2S0lPxFzLGH7UYeImdAobp4ltUTq0RQKnG3e3mfmy5byEu8dsBHyyHUrGzNs3lNH0tWxcBLAFiM2SEzZ3VME+Ykh09sa+GMrFtygnIp8HVUtVLq5syhlzCvpiK8thFiprOwXWHuDhhGYtfgV/IA2N1BZt1TxJSFpBj3cyaI2cFTPLlbCF2lIdrI+43wFcZYaDDbnkfDluKgs+OmEsMiJcHGdbcUIekQW7WisDoOxP0BU1UyetJcIKObT7J8t5OXw0D/TCbdJvljWQji4CUCIVyuCf2rQ1CSwVRodFae6ijd8EIig9blshH5qNC4GhNa8XaIbZWRhEzATPdS/54+qZlmWYuzjuqcxQ0BYyOvlbvM1t/Ynn81fo1PhkumXcW9HwQ2PzoJOhPFz8Z3leSBTCFvpPZOZ/tqqJYVMmWBv1rlLtscelGSAQENzUuHrrWSeWLE5wQQQz51GjapGCgc8WKT0TMT5mz7H7oaXxliKe9rUOVRYyZKxLQtjpbiFM5Gw6UUE4PH6eETulo61axCkM+eCiAA/LyQOLGL6qQqsKkhKgsZEwWJvbD6PoWQK0RRU+l32lRy/9AmDHLjkQ7RH8dL4id+aTHtO/H8sPtRJcJmGUmk8USQEUl4Cc2wy6jcavqxtUAjKIIPqohRSbAeU6ERnx+TUqHTaN+HJSMp3R99n/IHkfvrk+LPLt+XZgalQ9RMijivtagcwFifD9yMOlqydDarmADUzM23wn+0pxkmFu6dEyv69FnO7ylAWFfYo/BczFSTY0TGGZfkydnvKC4WA6hUO5nQ9SP2NFGEyLypCIUhRMO79TMd1Xhu55bSeJyZeLd+xoPijjLNJYFDqNm4E1vbcxcaPh7vceNW/FrzIz6dr3i9uJWQQSLm/0/en8balmx3veAvIma3ut2d/mR7+2vfe23jpsCGV7YxNrLKhRCo/IEPhRAfLCEhWdhCQkglW6KMMCpAMo0KCcmIVk/vyVVFqaiHLR72M6axr7vbt9mczDz97lY3u4ioD2NEzH3c5i3sTK48pVRm7rPP3mvNFTNijP/4N97gBlXD+ohtO8JKODgSeqqIijNZdv92rndxlf+3X2a3lw1L80iSu2NKwDVLUTBE/YBNJ+TXzDnxwkRPFajxQVJ9lWF/lYvij+eiAtlLsm8KB0v5HUY3/PH6Sj4ANRSL4zgZPandtdsH6C1dECXPNtQ5sClEgx0QpnOagRdOXv8VOC8hAkbdXs22FVO2YZSCS8ckQjgVt1iz78RPQ+fkIAcWPhAPlxq6J2qgWDvhRYDwVRSuNN5jB/HPKC72cuiPXrNPgAif293i4XCAQzJcQrRYEyRocBAXTrNrMz/G7DVXpirl8FV3TXu5E/+VqpJi8/xSuBjbvW40avK1bbMxUMrVANQ3I5nNBU7Xr/LLr/2P/Oyv/9/46V/+UZ5cfv6Z9RRj5Ed+5Ee4e/cus9mM7/iO7+BTn/rUM9/TdR1/+S//Za5fv85iseBP/ak/xRtvvPGVL96qzBJGOdB0TSeynkpKTTdk1ZFVv5lnPGAGmfOby42gTsnUKimcdKSZC+N+yJEMsakIq7mQtlUOcLs8p8LThslhEsBp7kpK5g61dJxuO3V5tpO1mMl/8zrzg0KjNvRO5fvpgI1R3levo9aqFJ6Hmboxo5bzqP8Q6hwbFrVwNPTwN90gOVXJj8MALrL2DQ/8AY0Z8NGyDjM8FrN32CFOsvZR1BG2G6Rg3/eZZJ8PoMTb6odpraqSyrR9fp7MMGqC8fT5Jf4bMU7+P/tB05flGU+v3W0UubliVuY2HfZcDNpi/S73lmMQqP5qh++coJj9qOMH8lq0qmwx/RQHkmWzbjqGTGQiyqauW9dOUPUXkONGki/JMwnSxYTSyOenry9zFccr4ZCKkCihV0Y4+jwq+dbuB1kTV60JrPBOrspoo3PCf1IVWrSTmjI93/goZ1bnMbtOPtNk/R4jobCCwlTi+BzmapegztrJwM10Q15b2Z+nlzGqiVE4h6Oo6UyISPyc4cmw4tDtuVlesnQdu1BRmpHnylOOrJyfj/2BEOHdnmtuk4uW0sh49NPdc7zaX+fAtTRmwNmAmB6S+ZXp3pl2zPygFAvxlVxf1QVKnM9kc0nz4eQxkC4fJHdnXusHKpHnacxA6kZBDtnVLJNiE6k2beZ2o+qD2Uzlq2U+HNKijmUhC66VGbjZ99nXQ4hbBaF0snEWgaXrmNseHw0vV485cjsux4ZYIkSq1VygVB+EN7DeShFxfKAFVMwEMLPvJtt9PcTNdk9YNYw3DzJBzMwalVgHZXjPp+yJXZszUlKmimSShHygjCcLCYO7nDgQWJmJ1xditFTbMWvohfEt8KGfBdobTQ6KA4i7Vjb7zQ7z9Dx39tEJkYyiEPfY40O4djRt7l5n+qk4bYepOrdmIjx7dQ7etfixY1Ve52tufbf8bvfs8v/xH/9x/s7f+Tv8/b//9/nFX/xFbt++zXd/93ezXq/z9/zgD/4gP/VTP8W//tf/mp//+Z9ns9nwfd/3ffivNNdn9MqxkI0q++ckSWKSUSepu7X5EEQLz1BLnAPDSDw+UDKpIE/J6weY8mJ2miqs2T05XbaAqKOwxgxsY8WBbXlP/QhrIu7SUZ+NMkvvehmr6Uw/h0Tq7FuM9OrpIEnIgyrpQlMxHjb4k4UUGJo0LXNz8S9JMuQckjZTwre6QYdbJ/jDWTapymnhujmGWYnddRgPpgw4lfK3scz//Wg4mA5DRfMSEmW2+yk/50q4ZUyWBF3KArLSoChhPlvSpwDREKevjYLc5UYoOQZr1lVCykAKdrPvZO12KXk8Zi8ns+uyB9S7cUXlNphePUF03BhrN0mJk7AALTATwX6c0I5o7aRUVKJnWvdZygw6ZplIwbGScVhyXJW/w9R06boBFJ20eaSdlIlmkEI78TryXpDG5HqZ5BQ+jFrY9LKvJzkwZDQl1i4/a3YQ9U56r/leBEUZkqijHzLalH+/u1IQZ+jTTMacV0a18tp1LSUeYddLLk9h832JDkrneas7ZG47QhTH74txTtBfchkaSm1OrrkNN92aI7uXsSiRk2JDYwc+s7/LxTinj47SeAqrMuu0D2gauEl+N3rfQ3IE7/+AcFDwHubCfYgwhUw5J6Zp670YWj06k6/PmlyYALJhXDECkoU3Erd7zHIuxU/aQIdRihnvJfdmMcvjFazJFtb0g7h/bsV9lbrKBlASAa6be4TLsWHlGqpi5Om4BOD980f8r6g9dIyYS0E+qEoxjEtSxER+7NUtdxgwhcNfW+G0S5PoeCElZYv0ISWl6ibgjHQH++4Z2bDd7OUB8h4KHTHMxLfAXinwRMkkG4+vLZiosGGgjw6PZRcqQVEGg02LU11jTVB/l6KQ95DC2DodAYUgWTyLmbzXrsd0yLgHCCerbPZmNwKNhtUCm7op5+Txc5br9Ye5ET4kAY5v/T+4OkuLMfL3/t7f46//9b/On/kzfwaAf/pP/ym3bt3iX/7Lf8kP/MAPcHFxwT/5J/+Ef/bP/hl/4k/8CQD++T//57zwwgv8zM/8DH/yT/7Jt710ryoKAD3g3OToO4zZgdWerrNHT3I+vkr+NcP4zFgwRwNoIWOUE5Cu5PXAeGWTLQIr21Iaz4PxkMG2VMazdB2xQEh/52sp1psat24Zj+Z0xzXWS5IpgOtl3OMrGR0l8ykTIjQFw7IAg/CwEGJd4luFwhALKTSKnZdsJyA6GFclrvOMsyKPEcy8xPpA8XRPmDeMR41yAXzu5OJoOC62anE/ggGPfC00AV9ZGY9u9tNhpgiVSOzdVOgOo4xfnJOR1Ho/uX0mw650EKagu4SSqWwWzQuiLrUjFgO6jKRYS7x+KA67zmW1WTa3SkT8d1FmHEs5sq7updnDyFppKJLyT40An1FuhAAmSYyZ4H81bpSDeOIypILD7aUJiU0xcRsS0pj8pBK36WDKyomjWjYkcnMiXocAHlFExZiLvnA4z5YR6X0ZRTBi4WRdQKYImGhUDeRkzNKP0BSCpIQwOQIn9GzRqJmZoomqeiGBPhoYmEJYozOyF+gz5ucVReLmpGsY4ewCTo7k9+iIMWc7Wbi22HG7vuRGseat4ZhXttf48OohbSh5MByxcnteLM5yEV+aUU3aRpwJnI8SAPt8dcaFn/FGf43SePZjKQ7SXcSuWxnBlhI8S3llndgUP/AHRMUTVnOisVd8H2Qhi7xKXFHd+Ya42UBZySy3KrPqI9YldlS0wwrRFR/EhTTGCTnwCqunrjR5pBiDadus6AGmGWVylTRGpF8+YNooMdsOMJHLccZB0fK8ekw4hNA3HHrGeUFxvp82yWEUjf2sFovkTmW4+1Y2hFJ9SzovmReqh4/GYM828trS5quQKyBEsZiY1wrpJ7v8spDsISDMS8KsEJfDtY6T5pVIX50Vh9IhgjcUNvD++iEeS0OPNTNClKIsQ4CDQn/LOVxuMIWb5L/DmAulzCXROT6zZkqNHv1EvEyQufIdUocLUgwki/A4b67YLk8PyiuvvMKDBw/4nu/5nvy1uq759m//dn7hF36BH/iBH+DjH/84wzA88z13797lox/9KL/wC7/wWxYoXdfRdV3+/8vLS/0sgG5QDs5sgp6HUVRT81o2mKbA2ivpxQFiU+BON5itnxKndUQmm4HOyKsyy42BjJzkTKbdXmDmPmJsxJrIc25DhafH4ZG8KAJiCjVvBEJWXoUdA9s7BecfgvBcS/SGuC8wnRUVTGkxo9ExapT/NuSv2d5oPpO8rCj1LWHhcecVrpX7FFIOaCixA7jW4JuIr8B6KLYzmqeR1esjs/tbQRubimIfYLRccxvWoWFlW859wTo0XIxzzGAoN0POC7FPz+UZOVwqX8xOniXOCpcgyeCj7gvp0EvOzKpWyn42Y5hQzqRwSenIeuCNNw8wY6B4fCkGX9dWmH0qiEQNE2stOkMQYqhx8MpvWm7vzGUmxUn2flIVjaAZk4opoRygI28ldts0+krCBcukKuwHMNVkUJcK8X4Uk8o0uq5Fcps9f5TflDx1MpKnRXpSB6UcpVyAqAeJOBA7/LykerQh1CVxXsBc0q7trhNzRYNk4mihlBAYM0aK8/2EuDmDQX6+CXLPorPiHKsjVkFFhWMV6krGN+m+jl4I8HqwA1IYK7k8EcJJBfBzNxkPZ9LcDpOXjB0CxR7WXc2h2/Naf52la/ljJ1/khfKUNpasvZgxfn64ydrP+HD9Ft9cez6nI5mV3dOYJaUduVms+aXde7jwM86GOef7GXaU5gSvadbJayoRli1aOIU/QGGBDmKhMfRGNjtAEID9KFBxWchY5mApiykdeM7KnFQXQS5E1Co+yzqHEdZbLXxq5YToovNTZ5DMc7prJf3CUu4irl3I2KE06muyIDrY3nIsr214//wRpfG8XD5hHRo+3T7PEB22UwfFKwSoOKuVnGin7hi0WymkiBmF2Do8d4IdxGrZjCFLOM2uVbKuyaZrqNW9P5xJjkk/Hf6JcBuagu56zTC3lLsS/8Kc7sBiR6i2gWhgmFvaawZ3uOfQ7ZmrPbozgY1vWBQdfiEoi4QyikQuLhqxr543widJAWtB3VC9l6RlzUgR915xBjYa0pgKq+gcUY2ionN5Q4tNgdmFibeRHporsPGDBw8AuHXr1jNL7NatW7z22mv5e6qq4vj4+Dd9T/r7v/H6m3/zb/KjP/qjv+nrsS7y2jX9mI3TEmdD5rcD/mShxlC6qWl8e3SWuGxEUr4fJOPlYoM5XMpnrGskm/KVBSjSJJtjnRE5XxmMjWx8wzYW9DgcEsv+nvqxqMoSJG0M48lClAHOsnnR8C1/7DN8/81fVNJ3xalfcq894bn6XBxnQ8H1UnJ9AIWVDT5a5q7jYpxTGs+Hmvu8NRxT24Enw4ouFHgsjsBhsed6seaz+zvcbw85KvfUdmDmBt5sj/gPn/kgxb6ieWylgPeSjVIdtyxsR2N7hliwsntKM/LFeAszqrX4TuT/iWsSS0ecSybS1QiCZHgo+T+VSN+tEFnzmKiuZIMefOaBJZm/jCNFCZS68NhUyuUIWSZq1+2U4aMjgrOL13j14X9kvbtPN2746Mt/5tn1FCM/+qM/yj/+x/+Ys7Mz/vAf/sP8g3/wD/jIRz6Sv6frOn74h3+Yf/Wv/hX7/Z7v+q7v4h/+w3/I888//1uu3d/uitoIGbWiB4nGuIr8ReU9JfUkpSrNth1+1YhkNzmwalHnj5aSUTSGPI5P9x4QVLztpSgJqIst04hppii2c8LRyVk8kVgaKJH9tC5z6J+MB4UjFUvHcFBRbEcZIWm0RuaEpdyxhF72o6C7pSA+dgwM1xbinbIfpQlJjavKlxMqElaNNK3Wqgu3xz3dyHswhtBU03sFKaBycTcKBywVLYUhOFGqunbE146iG7BriWUI8xLXRh49OeCXj17kTnPB+5qOb5t/gfcWPa+NIjkGaZLf6E94X/WIn9pc48F4SGk8t4sLPlK/ydwOPPYLnq9OATh0Sz43u8V5c41x7qiWs1ykJim98LUitIKqmOHtS+S/ugsUDyZ6+TC1Ik8mNsba7EsQl/N88JkQiQQ5BFThkT/4rZBajS9F5rjr1H20muC9KHB2mNcU57IAqErGo4YnH5tx/rEBM+uJW0VVXASnUGZvMd7AYcd33X2N68Wa0ox8on2B0oxYE3izvTbBmtqFiUpnLhK85HZZFvJnGqyVUBYzjLjLTuTMdYHrOt0gCljOVD2ioVOA3baY0TOu5NAt1pJOHJeSGGv7kbOPHnD+QRiOAnERKOc9VeXZrWviaLGVxxWB2aznf7j9BrfKizzXtASOiy21wuvjzEpqK4hJl9r5Z7mfs5n/E2PElOXkapu6sqT+aOq8CeR5thKykqV2dvhV6XQsLF4lkhlJuXLlQEa9svfG73D9Tt/z1/7aX+Ov/JW/kv//8vKSF154QdwlLbKumhp/OFNjqSHD3mbfZ2ff5HSajaaWM/GeeHAmf3a5wTS13BNnCHWFW0cd/RXSrXVDNuoz6jfDMFK0Eesic9vhiJz6JW0o8UiAIFYPmRBh6CnvnxOdxR8vINZYE/HR8lxxxsfblwnR8vWL1/lg9VDes+ZNNWbgPMz5QrxNiJbrxSUvlqc89UvWoeFGccnL5RPOw5wbxSXvKx/zi/v3cDouOXQ7bpfngBgcvlw94cjuKM3Iq7Mb/MfmvYRCNvM00rI+EoPhwXjI7eKCB+MSCukGD4sddhAOQh7PzCpVr+2n0a7uEdkwsBbumbv/JMviM9G8qTIRntFj1egwFi4nb4d5I+vUmCkFPchYyrQd4XAuT84ocRipS/b0rGa3eO746/m11/6n37TOEn/qJ3/yJ/ngBz/I3/gbf4Pv/u7v5nOf+xyrlcQg/OAP/iD/5t/8G/71v/7XXLt2jR/6oR/i+77v+/j4xz+Oc28/wE04f8ohqSZ+iB11HGsmYmg2uIxRJeQuk1pFhsvklO0MsSjBjLnbzm6vhezn/nAmMt69qnISerhoRFU0BkV2e+HkOfsMpynFcxglqYdFRdBcHDsEbB8IpSUWlch/e5+LVkLArxqK8z1+WWevLRNERRitwamiKcwrQukIlUiQ3WWP3XbCdby2zERzW6riS9eY0bFNaErN8hGyrV+moixophuMCzGYK3cjtvOEWnxcistWRu4nS/yyoj8oGeeGZO73fzr+r5z7OV/ubxLiE3ocR25Liacynv/z0X/l7z/537MsOkrjOXR7tqHi9fGEA9vy1C95oz/hYpwxRMd+1P24NPhFhTUaJJssMBZNDpc1IYgj8tu8vroLFIfO2hzBSsWbyU4aaGf2TOSiFAZodd7vZnKQV/LQxKqUhNEkgxx9Vprgqjy7tJdiQmU2+2wBH5ylPYH3v/8B71094c3dEc/Nz3Emcrc+Z4iON/bHWJ2tfsvBK7yvekQbS/7T9v2UxvPR2Rs8GVbESslGl1tRDVnZPPxK9e/OEKtGZWy6iUYJxZPCq5MOLxGWEp9BbdP9yRJjBflIkGhx2U7Eq0TwW8ioaH/DcPCHnvC+4ye8f/GYja+5Xm745PouhQncaS44LnbsQsUHm/ssbM+5n1OakYBlZVs+s71D/cgJslM73F4ORwMSeJg28yuhh2lma7oetHhk3oi3QfKR0GJL5vRKLgvIgTB6nNrEZ4Z/KljgGenj7du3AUFJ7ty5k7/+6NGjjKrcvn2bvu85Ozt7BkV59OgR3/Zt3/ZbLtG6rqnr+jf/gRK0w2pOLG0euZl9L541KVtnGPO4x3RD3uSNnZj/AOZgmRNezUWfXY7NXDaDWJcCvYdqigXQMZ7rAr4XGe4Dv+TSN3ywekhpPL+w+4ASvBTF0zFcOJgRZgWuhfN+xlvDMUdOsj58tJz7OdtYcWT32Rr/tfGYbaj5I7MvcR7mXAaxoD9yW83KKWiJWAIHtmUdGkrjeal+wu3inJVtueHWPBgPacxAG0s+293h5eoJN47XdGae1UWS7BwZLive6E9Y+xn3+0N+ZXyJg2LP5Tij2AmvAWOwF+KFEpdzRRa9dOx6j2OhKEEaC5blhNxpzlD+PIyGAO776YBsao2gEBdokZPXwhHbSQxFOJyLA+qYRqxWxqpD4Gb1Mjduv1d+x2vIYUT6le8sf8rtepjp69z1uh/JMxkWjazl0Yu/C0ZQjiiKtHhQZUTF+EjEZH8Xsx+yamo8UT+kK/wV2+rekYqARkagkoosI+RQFzriUH4PZAK32WlY6qyiuy2I+rCw9EtLKKBeR6pLT3/gKHaBUBqR4Ac5fO3QEB30Bxqhos8FSra2Y8T2ghL7mcs8KztEzLzAREHIxqWox8bGajBsIg0Lotc87giVZZw5QmUYG3l9RSuooK8M5V7+e2wM/aHDBBjmhubMM6xKxrnF14axNoQK2huRu7fPWBQd//P5t3Do9ry/ecCrw3X66DhwLdfclh5HY+BmteZOeYbT82qIjl2ocUQaM3AxzuhCQRcKNl2FHWTqmcfmKfut1YgVHbUltdPbvb6qCxS7G+ShN4ZxWeXO2WqaYnAFVgmqoSmkG9UI9Kss+OJsM+W5AGa9lQq7riZyYlPL5jIql6FwsmEnK3kLvolca7Z8aP6QmRt4uXnCxjcsXUsXSj6yfIvTcUEXCi78jFeH69woLhmCwxubWdFuJ/bEsamgbWEU9rjbCJ8lhiTX05HVvhV323mTORxu3U2+LTFOCpG6zKiR7cWHJCS+TIzCM0gcjxDwTY2v4UMnj/j6g3vcLc8593M2vuGjq7dYulYgejvyfLGhjRUNA2/0JxwXW24Ul5z7Bb065ILq9QftoqyMmkzbTwWLFVQoNuotk16Pl4LROENkco7Mqb1GyMpZim1UzaPKkjTesaqMMFdIZu95z3u4ffs2P/3TP80f+kN/CIC+7/nZn/1Z/tbf+lsAfNM3fRNlWfLTP/3TfP/3fz8A9+/f55Of/CQ//uM//hWt3egc/nhGLKzMrdMcX+Xo2f9BH2x7uZfCUcnRZt8J1+hkJffLGOy2nTYIVaXEWSVFz1ZdPtN6Ngbb9Uq4XBCDYW577g3X+GJ7iyEWmSwXy4hVWaY/XIhPS+XwpWU4iHz79c/zbfMv0BiPj5ZrxZZzN2NhetpYsA4z1mbkqV/y4eo+Q3R8on2eue2zBP3EbXi5POfeeMB5mLOwHUd2zzc0r/Ol4QaPxwPOzQJnAl/ubmJN4IXylNJ43hyORVE8qIttP8LpBbPzGTf/413+xf0/Lh3nPOI6Q3SRUMLJlyN2o6iFOkGHeSn7CsL3kHFCmEiNiZul3b8o9iQIzqx3UwqySuXjrBb1lKKAcbvDMBfCsYaQZodd5hlJMZsdRUIMdTwSC5tHPimgDt55/lTU6I2MRhjhFJlhhKbU/bKcnJobbSZgQk3ySF1GRrE0uF7sIGKlahwlQ+e9qXSYXtCmWLvckKYsHpuSkgdd+1cIxsmYMFYl++dXPP6GUnhMDfi5pAyb3mB7J6O/qEF8xub1YoLwn0IVsb0ipkqtk89E/j8U8t9BBZu5wDeIsizqYQ6EMhIL+SFmNFgPRh1afRMJdSSW8lnbnSU0UjAVawsRYoG+zkioAsXOYXvoTxKBGLARd63j6669xa3qkqfDglLT/TyWh+Mhp37JyWzDgen4X3bvZW571mHGc+UZJ8pLuwwNp37J7eKCD8we8mg44F57jDFR+GOeLCef7A0mDlBSI1L8zoj01eurukDJJj2XO4oUKjcG/EGN24r0NCgUF2qHWdQy+wwhkzWNuvUF5S+YEKBQN9ZEdqtKcfHrJ5e/xN8wlxuMlYrZN5HDco/H8A2L17EEHvUH7HzFYbGnDaUsDAshWl7rrtOYga+b32Mbah4OR7zVHQEwzhz2cC7R80lmuu+xOscNjWRzWB+EyBqjSJID4hPSdvjrB3AwE++EGLNXi1t32WwrFlZguXbIY4rYVJmEZcaAn0XGaDlxWz5QPWAdGj7b3RXTKzPShZKLcc4LM5lL7kLNzfKSCy/d+8Y3+GjwdcR1AXfZSeFQaiqzqiZi12NcI4iH8iRsUhclp9p9J7yVTsh0ZjATGTbJZzdi5BUOZhOPIEb8fsduvMijnf5SyMn37t3jIx/5CD/4gz/Ij/3Yj/GBD3yAD3zgA/zYj/0Y8/mcP/fn/hwAh4eH/MW/+Bf5oR/6Ia5du8bJyQk//MM/zMc+9rHclb7tpVvIOCtxpRhDzuUYrx2CFet704/ib1IWQp5McuHERYoysrRXQu8m9Y7mTIWQ73MsHeZinQ0IzWZHuV7SvLbibzffw7gtoQjUi56+LTEmsvpigduL/4btR2KwGGdwrWzYO1/z6nCdhe345d3LnBSbnNPjsbShZGE7FrajjQXbUPO1zZu8tzhlHUu+3N9kwPHALzj3C47sjoDl1fEal77hwi+0IHnK7eKCxgxYAgvbcaO45BPtC+z6ElcoebOwuH1DXG84+bVzDl5pcJue8bDGtSPjosTXlvpJK3koyfU5eWKoP4e72MqhNq9lJGoM8UBm7O5sLUWHjvfM6IkHC7E8v9Qxqf6ssKzFrMwY3FytDGItTcOsZrhzjB0lONCUhTwPSYk3+lykXpVn2isN1jvNnwqlxAikdGAS0RUyHxCY1Efpnyvy3Sh8aTVySxxCK1wFTdnOzrEBIdGW6rPiPYzKLXHKLQsQndyXqF4itveS5h4jMYAx0qz2B47diyNHdy65udwwKwasCRxWLfd3B5zu56zqjtKKhLYwgcJ6Kut53C6FV9fXGQ0vnWdWDIQoZmjzoue0XdAUA1H9hepipDCe7VBz2dfUzjMEy7wcmBUDlR0Zg+O8m7GspqKwsiOVk3vbjiXX6i1PuwX7sWQ/ljgb8EH2s1kx0PmCzjueW17wtF3QjoWg+MsLnq/PKK0ocua25+FwxK3ynLnt2fiGe8M1rrkNr3Q3WLqWwRc0ZqAxA9iOgMUjjTTAcbHF15aD5iaXVpGiJCFXR+AUlplGccbaZxVdv8v1VV2gxLokaIcokK6Qq9wl2cLdrltFRmS+bLb7TJYUQluDvdhht3uCm2t+zZVsGypoe6wP+KM5xZN1fjht18N8JsZSQLEz9KHgbnnO2jfcKNbcqS648DOuF2vWoWHna1aupbbyUHgs39a8xk/vPsjK7TkfZri9wfooMfCK1BBFBu2ermHfYg+WE4E2SdWsFQJSKtaMkRyMWoqZGMBebAQJmtVCKq0dbtNNzqbzSkZY21bY7c5hgqEwQQ+YkjaWPFee8WA4pI0lS9fyfHXKidvwYDzkE9vnKWzgD81fYxdq1r6h1G7ctTpjXc3Fq6Lt4MFjQj9o0KE6jFon5GUgXq4xTSMx9wdivhcWNczK6ZAuHaEUhnw4WuY1YvpRfCVGz5m/zy++9T/mP/vCo/8AwI/92I/xL/7Fv+Cv/tW/yn6/5y/9pb+UiYb/7t/9uzzDB/i7f/fvUhQF3//935+Jhj/5kz/5Fc3wQWBdt+0mBVpZiHTdydgh82bKQtC8FD0wJtdWGc3hLJgrAZfpMFDOTVioI2ZyRU7djTGaczRitx23fqnBf0JGDsO8xA0FdhS+1fzBDncmRW4MARMLmTOHQLme87nNLc7GOXPbcz7OeTos6ELJUbnTza9m7npqO/BL43sAaOzAz/kPA2IA9WL9lMb0tLFiiI6V23PpG17vr/Oe+jFOna6SoeF5mHMe5jxXnAEwBks5omRqeSZMqU2ED+pNId13ESK2L+SQd06K3rqUwiNJY42ZTP5A5N7DSGzd5LWU7ms/SB5SWUj7nNQhVSnuzagiLaCp6DJmMNtWOGVJCtqUkqS7H6HRNZw+1itmfsCzEtO0pt4h/lSGDApLtElpA5QoMh0n8zn9s2iM5napxDhNV6NGN4CoYpLibnfFV8gI/GC8jo6cncjGduLARJWlpwJJ/FoMjFFR2el7TOP5hltv8o2r16mtFBd3yzM+OX+BR8OKl5snHLkdlsBOjTRP3IZdqHkyrrBMo4/SeE6KDaVawx+5LafjkiO3o4+ONso6WtiOtW+4Pxwxt5OSpbaDSvxHLvxCuGAm8HhcMYSCxg4snZK9zcBTv+Sa2/DWcKyjUdl7SuNzXMXc9jyYHVAaT21HajvS2AGP4f21jG/fGo5Z2A5XXPCYwNo3Ksf3PBlWzG3PhZ+zCzVzbTAAvtDf5n5/xJ3qnMNix6LsiS6SgkKNCi8A2D9reJojPd7m9VVdoPh5ifMOu/ZZ8RGXc8ajhuKynSq4dsC2YhSVCYeLmbDk0+FQW+lgFzMZe8xrcWTd7uVkHwbMss7SMLveiaHT8QEpVtrtDUOQYDIcbEPF1zZv8KX+Fm/0J9ypznnUi7Ll6+vXuDdc49zP+dxwjSO35VP756ntSKiiaMWj5JZks67Z5MzJ6QVmtSAsRX1gdl3OmkhGaO7JJVaTnYlWfFnKgvH6CjME3MVWFAdvPcEcrURmV1iY15PBTmExHr716Et8sbslUHxxxie6u+xCjceINDo6HvsDnowHvNw85YXqKS8XglD4aHl1fw0M+JmQ3WLtZOZ/fADWCuoTo7qE6mG/a+UAWS1zQQWI1X6ZXFhDDv5yW4kk90sx7ysuWw0AE87F4fFH+OPv/78qNycQdlv+/Sd+nH/0j/4RIBv8j/zIj/AjP/Ijv+2aa5qGn/iJn+AnfuIn/pvWrm1HsfPWrjLMyuwiGwkT0dAZ/NEyK7hiYYkq40ubfirCoiIBSemUlWrqwBp1bIeSZhnG7PFRnfaS/Kppq+5SeUw+4h6dE7c7MFLlmtVS0auRxf0j/vPHP6iKuoAZrULlRuBrB3Gm3XVnRWmX5vaDWtEXEVPpgWTA2EjdDBzMW55fnbM8Eet9IJOv21DSqqHcEB2FFVWdW4spH1pExMKqz4qMFUNTYPsRtxeVA95r+rmdCJcIhykuZnKPx5BVcsKjWOBXNU7XlxlGWC10vOqzG6x4H7WY9V6URW2nJpAaplY48fBJycbDiJlrwnEvHjKhETv56IrJoEt/drreaf6U2/TYUrkE1bNHiBkFrYtlMRU+V/lfQVPd1fmVVGBYtGl0mMs+K5/E6I5nuvDYlLkASqi5CeKwGq0VL47hipHbKF4koS4kGV7BxoXrOSk2HDlBB7eh5m4lKMPKttwoLvHRMsSC03FJYwZulxdYE7lZXNJHx9rP2IXpHh3YfUb5DmzLNla8OZyIktF2rFzLLuxZupbKjFLUREPA4kzk62ev8eX+Jlv9mSsnhcvCdjxXnPFgPOS58pQbTlRxyY5+YTvaUOExfGr/PBd+xs1qzXvqx7I3j9JkOSIvl0+kySzO8BjWRMpSkJW1n7GxDWfDnMNKwl6fjCsu/Iz31w8ZouOXLl9mVbSsXMP9/pD9WBKqyDizme8HZGO73DQV0hAH85uL69/u+qouUKI1BOvgcCFOnEo+K8/2ujHpPLIupuJEeRahKbIUUKSa4pKZOQCpY60rMRKbqbmOMTI7Xbfil6Cz2FAZhsNIiIZf379AbUbeWz/i3nCNITrmruOT2+c4H2Y8d3jGU7/EEjT7RKSPS9fy4eV9/v3x14ocdzHLBRWgaapGJNA3T/CVcBTs5R7OLsW/xYnZWrKPNxtxl/W3jzHlCnuxFcSkdMJhsBbb1Hle7Ha9GAGpekR09fB6d40PNg947A/4Qn+b91WPuFFc8qX+Fl0oaVzPw+GQW+WFdA92xyO/5MBK5X/RN7idIE+xEhjctD3hZCUE0MJiHjyVrrdw4li6aTEHq2y5b9cShGdiJMxK/KxknBc6Gx7lMywLdQoO+EUFEZy6mNrdIInBCjH6xVeGevyeXjGqCZ4GpynDPy6aHOYYNBPJeLX3P5SI+OwJkxJvR/maUY5JnIuJnd20gvYpydZqLEIKshQCm4zTbHLG7APGlcLFaPXAtlak7M5NUui6gm5g9coW18+FaFtbVTQEyq24Efva0h8KGmN8ZJzJZlXshCs2LNRPyKvqa5TQsX7ZcPniAWff3nPkZKNMqqKF7bhdXfDAH9JrUrGzkXIX8+FI4eD0HHuxhTjXPKOQJZrGB9jtxfBvXsu66oWj5FcNblQEa1lLqF0y2dI9JpQOZ9S5OM6y8ko+VzLfKTULicMSK6s+IV4aKK9eOHUKJfXPSJvtTkYaURPF0xgzXLG6f6f5U5K8bDHOExY1flEKN8SHqYAekt27zcWHSYZpKk2WolYRDT/Z/RsfCEsNNtU9HMiJ9Kk4C3X6TCV7zagVhNnKiG0yYwv50MQYhoWhWfaKXOx5oTjHETkPNesw48jtuFucMWh+0852zJ0UF5e+oTE9fXRUxsvatENWvX25u8mN4pKF7Xjql2xDxcY3iqILh+d6cYkzkYfDIUvXcuS2VMbTR8epX3I6LrleXHKjuJRkcRznfsGb4zE+GtZ+xhAFWbkMk2HarfKcj1QSOvtqe53rxeSA3ZiR01E4XF8abvKZ/V2+c/Vpzd3a08YSHy23iwsejwe8d/aY58ozVnbP3fKMt4ZjPtfeoQsFd+oL/sjyi7w1HHMvnLAbSoiGfmnwixLbB4qzXZ5SYCGHBzqLaf+AFChuP+BCIgLZXKUn6+zEc0h/TmmymsXqGjZ+EEv4i0vMYi4ISYiYjc6RF2qitWtFQWEMcSekVL+aCw9k12N7YVVbE7lZXvJmd8xn2rscOuWe2JEPzR9wNi4YouPz7R12vuLl5gk33J4H3vKH51/i5zYfxu4s5eUeHp9hlnP8osE9uZDXc3GJOT5keO5EutxSTLxscQKbnXQu6x3heCkz20cXmWAWakMsVhAj46qmuOjEyK4uCcsav6zka8rMt3vpQu2gELoZ2YaaJ8OKF8qnbEOdO4lP7Z/n9f0JX3/jNda+4d9efh3vqR/nxV3YIDPiIQjTvh9lZFNY7NlGNpWynL62sdD3QgBO8QNJ5rnZ4bYGc7SkuBC5ouk8puvxh3NCYSkfi6dAaKRrcv2Y5+SJ5Ogr/xuX1Dt2SYKzKmwKC17gavmzQVh2hcrxXBrHaASDkmIT+TkuNa9p3+WD7KoU3fhIVGQgo1OqSBM1UY+14k8Dsp6TrDI6jXVQY0PU6C8aI7L10tGc9hQXHaFyFI8vxW21Fufi0kdcO5OxVecJc4kisDsZy9baKAAZFRqPZ9TnlnFe0Y0Fc4WWiQKTS0HveaE4ZR0avhxlFm8HVX8NgjwmiXqYV1Js6eEYC1XHaHRCKvKMD0iStH4OwyhKv6qQUYWa6JluwGnKcArKM60mnydiaNBxmnPyWVv1Z2llLDceNIKiJfMykKC4TS/ozayeilFr8PsNu+1a7h/QdufAu8Sfamoh6Bu5nxIgSbac96taJMeJ/+WVyKmeMWHREGbqBhvJGU6hcpM5m3qPSBc+SJq3ojXudCOfswZGJmIyIGTi64c6gh+kYFrUwnkZAsYJyRSEILoOMx6MKwKWp36ZeXWvDtdpQ4kzER9Nju4QRMXRhpJgLG8Nx3gML1VPqHTEIryNkcYMfKG/zdx2PF895dwvqMzI6bjk+eop14tL1mHG4/GAld1zs1jz+nCNNpTcVAuKbailGDHCfTwPcw6coIlp/+1CyevdCU/GJa90N/nWxRd4rjzj6bjUcU/H3HY8jDLyaUPJB5v7z2TArb0o8W6VFxy6LbeLC/0YbC6G7lTnHLktIVr+t/WH+Jbll/m65T2+uL7O4xGKfcTtR0EWrWYoqVN7cg02pcuKxbdzfVUXKLGw+LoRz4NWPEpsPwrzXg11Yl3mDShWJVH5ImbwuQsv73s41cOqroSsOY7TZl6qDbv3xNVCHoyqxJ1vZETSDTQPd5TrQzZDrfO5C56MSz7UvJU//Pv9EXtf8tr+GrfqS15uRD55ruZWAI/6FSbAuKxwJ4dysDiTfRni8V3amwusj9jaEWYFxmlnUh1kIqCfFRSbgbgSXk20RpQXTYH1EvQVS6vpxRXjqsJXluAsxaaXTSBG/MyxvxU5KFpuFmslQW5ZhxmlGbnXXwdgCI6b9ZpPt8/nzIY2ljK/DaV4ZTTCf7DdmCV/FuD8EmYzKb6MEaLgMMoBc7CUg3MXMFYKzLBowEu2UYps9wfqrbLtcE/0QHNW14DLhkehcozzAtd6iqe73/9F+ttcsanFayEKKRCL2F2FkLNAUmFFNFmNI/yblOwrcL+fl8KdUFM2ySoK2SPHbve4czW1W2lydFXi61IiDYZ2UqqociVlpmSX16aaOE9afBCMkKsTwffG4fS7Y1RTJg2E7Dz2fA3uYOLXzCdeTc5aUWt8OwaMl8K4Mp5zP8dHy5HbURrPU7/gmttyw225UaypnGdYWCGGK/eKGyv8rKA/KCi34lNRrgd87fAzi+1qnAZeRjX/i/N6ciMuoiAYV/O99POyO0nGzkZ4yRJfPXmSqR2FI3qXAxLT91sd5aD8GKJ691jw1wSOt/shm49dbh/xi6/9y/wyvvT6zwDvDn8qlo7gZAyc7eKTM6uD4nQ7+TMBKa6CMWZUIyFtadQzHs3VO0NQF+PVlVYdfY33BKvjLuULgXJbislgz7Yj44GiVmlN7weZTmoCfTRQlsLLeDgcsg01z5WntKFkS80uVMxtT2VGKgaOij2NGRhigTWBl8tzXh2O+HJ/kzaUrFxLiJY3xwMWtuOz3d1sIVEaT0spIyI7aAHkCdFys1izCGLJ0MaKPjoWtuODiwcyPgoz+ugI0WZ0JQVeruyeB/6Q0ozcKC6Z2y4jOT+/+RBz17HxDce6VzsCH529wbmf83L1mA+UF9wbhcf1eDxgG2qsCfzi5j3UduR1d52vm72eeYcr2/Lh6iFfGq5xVOx42iz5YnubLhY0bsTPhMlsNHEZtNGxVgQmNRpfcuVZfxvXV1yg/NzP/Rx/+2//bT7+8Y9z//59fuqnfoo//af/9LR430FHQ7sdcL0QzYwu9JDyB1ICacprMCZ7g9htJ6m/GgCFMdjjI9lE+imdNcHv0RnpMA+WWSER5g12uxdb7cWM7sYcP48sy47nq1Pulmd8bnebXzMv5Rj7xg5sfE1tR66Xa14sn3IZGv7XzdfyNc2bvDUcM3MD3G05/Zo5xUs3cL28lvbaAbaPVJvI/oZIzOqzWoLenEjXfGkmKe8QqS8rhtlSJG9X+H7RoPp7IIL10B0aQgnlNuK6Ctct8JVhWBr883se9gd82j3H89VTBlVibPxhhg3TewrR5hRcR3w2pXk0QlRMSABSZNq6Jm40pXW3E87Jap4DIGPpZINTU6toC2zfYzdy+NlxzJb7+CBmZJpKbbzHFyXjUY1rPW43iJKo8/jfwqjtnbrCrMB5CE4ewWRsFJtS1EeDFySv7TP/Ru6BUdv+mNe47ZTUqYaEtkVGN8OI1fwiEDTQL2tsJ2iMTQfxYoY/WUCIFG+dEleNEBf7gbioJhVQkqvXlbD0SyexB4uGsFqIn5AiLGbXCcl5GCmfbjPXy6oR4Hh9JUo7DTgzVUlYCGpQnO+JxjA7rXi8nrMNNS+XT3jql3gMp37Jo3HFOsz4cPWQl8vHfMO1N/g333mDR9+8IjRSPBkvazw0EXDEMlA9mjF/aDj64oB7ss75XVEDM2MhRW3moihfwiTre8hoXrYrT9yVZEimlgU5xXW+zEhAPFzK53K+1fUZYNcSj1bT92tuSw7JKwqObnyA7zn5v2Qfn9EM/Ptf/1vvCn9KFixMacWIqqlw0kw49ThSVC4WxTPuuEbzkszgJzJtCofUvdpoEF6yeWAYJ3v5WhQi00gtZlfo0BS4rXoqOUesbHa8NUaaMl9DCJb12HDoRHXZhVvMbUdlRhrXc+Ba7vXX2JqabajxWCozMrcd98bAW6PweK6XaxrTY03gdnEhvJBY8zPrj3BSbDl00gRd+DlD7NkayYT6THuXue05dDs8lo1vOBtFrVaaUfgrodZ9tsm28n/s4PO0sWQ7VlgTWfsZjR1Y2I5eyeUPB/EJaoqB03HJTjf/h+aQuev4RPsCLxcXQohFnMz76HgwHtJVJYdux9x27ELNuZ/zZDzIsRfvLZ8QouHI7bjfH9HYgYDBBDl7+uOG6qyVAn4Yhc+Y7CB8hHEUZOVtXl9xgbLdbvn6r/96/sJf+Av82T/7Z3/Tn7+Tjob2/BKzPMw8kFhYcSrsNH0yyJzfXMrh51RqG7c7TFWp/8bwLAFViw+joWyJiBUXsynlUr05ZJyyhUIMyIqtofUF1sjB/NHFGzRWFskQHYduz85XlIXn5eoJj8YVb/TX2IWKe8M1zsYFc9vzPR/4LL989DwhGh6fLqlnQhg8avas+5o7VcduqNh0FVUhUjgfDXF0DN6xqHv60RFd4IOHT3ltfUxTjHRjwRgsPljlTXoOqo4H6xWF89ho2HUVxkTKwrNsOu7Otrxv+ZjzYc5ntnf4jqMLnqg1eW0H5rani4UUYBq9vQ01x4Xc8/dWj3g4HPJot6Jcq7X06KWIGBTlGkdx8G00KyYdFLph23bUMEOT+SNB3WjxaqqnsHgmQOv4LbkHu1ZVHFF4Nqb7DWFb7/TlyZB1LKxMIfuUT0ImMIeD+eTtUKptv44vw6rBtCN2PxAWtSiAzuTAj3UlBU1KztUO33g1rWp74ac04sNh2xE/L3WdO/zKYmsnsLiG5JF8ZrxInZOPR6wdtu1zxgjGSJHlxWUzloJgmXQ4afGVM5VSobWbrL2JkbExHC73+Gjoo+NGccmB6XgaBAV9azjOX/v2g89x89vWeV2ejYtcKH/N7C0eDofUduAz2zv8zOc+zOxxTdMkdVyX83tMb0gJsXn8UjqRqXZ99gcS8maZM5LEWl9DRfed+l9EaGrhSiRlSamBaYrgYoVDZuLk92F3g3qoVNlSPkmfozWCfA5vHyb/vb6M99hOC9ZClTrey7/HK/t34QizUpSEavEOqq4ZprTjZ5Q8KVxOybG50bR2ki2HIJwd3feF0G+yfX3i96TwPVFkKe9qCNgBtqczfrF6kTdWRxxVUkQENSexOgPqNQSq947WlyzLjkXRY4kERBBxULYUxtOFgjHIL1yPNU/bBYUJlM5jTcQizStA6ws2g+xfjRsJGPZjSe1GGjfwX3gPYxCHVqNS5hgNzgbOhxkzN3C3vshxEaXxHBY7bhRrGjPw/uYBjRlYhxnWRLpQMkTJ1nqhPOWF8ikP/JwH4yFtrFjYTgMBI89XpzKmsgOPxwPu90cM0XFSbGlDyVvjoXJr6rz3j0EtDwJid6CTC9ShPfvYGDNFIrzN6ysuUL73e7+X7/3e7/0t/+wdT4SdTfkZVxemRF5PXAOToG0fpDhJVuqLJh+AabOUTkkhdS8wte1HCXUa/cRJ6XrCci7kwYsN5ekcQs0YHLsgUsnnyjNuuwteNdexJigbfEHA0JiBzw3CuL9VCqmKAs0d2bG607JyLZ8/uYnTBf7i7JTr5ZqLcc7G1zxXn/Fmd8z5OKfzBUfljpuVbNKf2d7h/fNHfHR2j/84/yDXyw0PhwO6IMXEm/sjbjZrPjZ/g1O/4JX9DU7KLc4EHnQHvHf2hFvlBW0o+eT2eayJzFzPp3bPAclu/DGf9C+wGytenD3lhfIpu1jzSneD42LLw+GA00pGV84GzEhOJk0Bh/H0HAB7eCCw8HankfblZBuuB0NsmswET1krVl03GUeIk9tvNtEqHfS6+TnLuCiFUNtd2SDfjauQB9duuozUmdHDrsPp6CbMK+E37VrJaelHzKUShUcPK3H6NZsegrhxRg1CM6qICssGVrM8crE7yZ+SVOwec7kTnk/bS45PI0Zldpd4HzH7dSRlDEELfSMJ2jG5QwakIAoBq0hkMhqz7ZgNy8Tv4opfhnI0Ylng6xnlricWlrExlFaemy/3N3mhegoWzv2CnaYTN2bgTX/I43HFzfKSF8unPBgPAWjMwJHb8Y3NG6zrkqd+wed3twn7AjfoZ9/10mio2iBacWI2xmT7ejFsK7CJd9INajhlcY/P5d4uZvJ3UhhmSh3uetz6SvZOkl+OHjNYjB9zGnXmTBUWt3fqiqvOrYoUJPOyuJm8Mt7xK5ARpjxK1Lys5OyceVKpodAk9Ks+KTkPxxi1QZgUIDiTCxoDkjeTPazsdPAlu3vApFGPpk0nlEfy0KQ4LzY986cVu1cqzk+v8XR+TKyCqMdajSKJYDwa6or8fxBTNSyiREu9jYvyTzQSkhnQEEwwo/yMaBGIO002jLyuHJ6pSHYo5ftMEBWcCWL2ho0qkZbAzTDzvPDyEz509IijckdTyLgrJXYPsdB/lIBvAnNFf9KI9NXheh4ZgRRn21BTmTFLqxPykpCe0nhe7a/zSneD6+WauesYtCA1weD6SLEZpNHQAkWSxfVta3jhuxYW+E47GoaDGfQ2a9ztZSdGbFe7kfVeXWILzGYvuSSHy9yRyA+STdWkTASNOkc5Leb0grjfY44ONfio12yTXomDJf6gYlxGWl/QhZIPz+7zan89u8M+GA8lEdIOHLodT/2SJ8NSnGNN4GPNvSxJI0rRUhrPe+ZPaUPJ+TDL7n8XfsatUu5BbcUAaFF1fGD2kOfKU9Z+xuvFCY/6FY/LA56rz9j4hhANx8WO6+Wam5UQeT++eZk/evAFhlBQ2jH/jlRJ3x+OmLmeo3LHyrV8anOH982f8Gg44JrbUNuB2o5ihRzrLI9rzMDr+2NWrmXpWu7ML3lzFvGNknqDWLPTibU7VTmZ4sWYo+pTF5qMxVK3ZUIQvko3CCQ+E7fYpLE3nbroNtUziacmRkJhCddmhPW7SJLdj5JSfDAlGZMUOCoxzjyQdKhdMbuKVpGTubjF2ovdFM0wa6RrT0WDejaYcAU10syjWDi5d9rtRiscoYRWJYULKSekFeO8cCQ+PKYdGA5KlbJHzCCjDZNk4+pFhLN5dCUkdm0ItnspVhdz4lwMzVLIXH0RON2ID8PK7Vn7WZ6/34snKnnvuWGf4IhZGffe6hEhCukxeTesNQ/oPbPHUAZcq2qUthdidlVqIabu0Ve8QUw/4lrxFzJlIZtsFOJxbKpJ+aeHdjiYy3vULC/TSphgPFjg56VwsMoiFzGCjAlXzm32WOVYuc7nSIekghkPlTi9f/fGk6CKmhizOoNKU9ythTiAEZWZ7QUtC5XDdn4yumymwD4Q8zc7TOGowGR1ALnoMP04FUHpe0Dut3qjBPWvSSOjmE5IK3+/edhxVFt8ZcCoa7WBch9lpB4nNVnirEiRYbBDZJg7CX9N98IZfAmuh6INOLW7N15QwFCIQ6zrpDnz1bMjdowUItEZXKcj+6C+OVYJxgbJ+umhOyi4F29w8jU7btWXXC/WGal3BB4Oh2x8zWEhgZqOSGMHDlzLuZ/z1C95OBxiTeBuecZNtxYVzyjj+aNix4PhMPsTJf8VZwJtLOlCwRAKDss93RUfHDtKXIHZ7jGlk6ItTMgZXvfs8V0iyb7TjoYEIVSFSqDoWKuddFUQlbkfjSGsGlEY9PL/IMS8lCJrRk9cC7Er3LkuZNukmmnEI8HMZvJv7RhyqNNqRqgL+lUpiykK7PZqf52HwyFDLLhVnnMxzjljwc3ykgO7x2NZuo5dqHjUr3i9POHJeIA1Idt/r33D6/sTTsotLzWnbHxNwHBSbNmFilNVBM2cjFokAbbkRnHJc/UZIVrmtqOP8jHfrC5pzMj7qkc89UuGUPCgP6A0IyvX8rXNG3yhu81mFBTk0Eky8YvVU9ah4cP1fb68F1LsxTjjP2/ex/VyQ4iGT26f50vuJi/Wp/zRxedprNjdW00zPqm2hAqKrcedXkpnNaYIdIVf+yHnxEiXPeTRTYohiIXNAYdxVsvmH4J0sD5me38zjpKCrJftPaFyBGeJtXh92O3bJ2v9Xl9+VVGug/KlVIZapowoVUdc7EhuyVJMqFKtsJgxkb9D9p6grvC3r4n0fNPKHP8KaRXNIbHnGxhGIWMGsOsdcdFIl6kSbjcGCFIsmLLIpEQzepHKjiGnTxfbkeLRpRSInSKNSV1hLcycSvEdTp1wAbGY10wgBuFouH4kLGopIgvDyWqbQwStCZz7OY0d+ED9gGt2ywPvWJlRZO3q9dCGkgEhHL5QnPNSUfHYj/hYcuj2uCrgGykGU/FgQsweDqYTBVRYNGLstQ0TyrXdw2Im+0Y/iIIqxQjUavNurYyZrcUfzAQlU5Js8XQ7jYd1hElRatEzqtniVIyHtIYTAjZKhla44oPyjl9WZc6a9JuNuNSTJJFlY0rqbUfJ9PQ+NxpRET+ImjgcchYNyN/NCd7OYWyE1ms69LMctljPpBi62ImsFSXIJrVI6bCjlTVVSzL4/FEv8Q2RCZUyZCdarMWnMVLQQscayqdbwrIhJFO4NKUqLMOyoH7aYrsxB076pY74Qsw/O8n3/bySwsNZQiU/rzxv8bMS3zjcoPf1CmIVC4vrCtZPHaftnPJIuI1ez4xk3PZ0WHA+znmpecpL1RMaO/B0XPJ6f41Dt+d0XPDB5j7vK59yaD2BPSdux73xiCM7iQdO3EbHRQ0PxiNuFGvKmZB8G9Pj44ohOLHvV8JyrKupiNf9igCmkDFPLljexvX7ouJ5xxJhvRdoaSuKjrBscgCcW3dCmJ1XkEy8vMzT0UMtpebKCwjQzMRPxUhmhhANB8m+qcps0oYPcmBqhW97T7kZcW3By6un6pzZ8Z76EQ/HQ9Z+xtfPX+PV/gYHds+N4pLGDDweV9yx5/z65gVOvSS2PhlXvNZe46Tc8tHZG6xcy/1eKuLzcc7Xze9xbzhhN86Yu57NILPAtCjfiMfUy4FvX3yWB+Mhu1Dzye1zfO38LYZYUJqRPjrO/ZwLP6O2I7++e5GVa3kwHnFbfUzmTmzE3xqOWbk9H67f4ue3H+KgaAkIEtOFgrntxfIYy6GT9xaw3LC7nLVSW+2agGKrPIt5TUgqjrIQnw/d9NnuYd7IAdeI268ZA/Z0TfJ2iauFGpVZGT8YI3Lxp2fQNJjFLOeEWCXXWh0HhrrEL8pnjDnf6cvtBgiygXvldwgfYgDdGGNVCkpnjUg321HJfjGbdtm2F6XWtQNyBP22lb83bzJXx3QDphslFE8hdXu5l/vtA3E5k1GCF3O+FBopcmBFJK/C6xbCsZA/y7O9uDLPSpGPp6DCbsB4cXI2+w5XFTl2gKrMDQLOEqObXms/yjjPwL4veeqXfKx+i5X1tLHk3M85sK06Z1paLNtYCayNow0Vje1Vjhz48jDw2B9zw11yNi7wvRVJMkxISYziguom52a76/DH82fQEenU5TOhKlWZ4GX/AimQowZtJuQLxItJu/5wMNcxtJ94JU5GRlmam1CrdsyjCoPmV6VAxHfpinWRD90UhyEIz5DXcdRiVxx0NVRQM4VAC/JU9BqTPZ5iWeBXNdQmc3UyEqf+Jn61VM6DcHOS+ZrRvC2bGlFdt0Z+CVaft1gUuP2YC51Q2Bw8Kzb7PePJQono5NdrlbRuhxGzaCZFSvKQakeRSvuQM6/c+Y5Ci7Iwb4SD0XYSHqkScjuMuL3mhF3ugIVw5dZt9tfxs5LhsMIOAdcGysuCdiyUeyJ5Zw+HQ87igm+av8Kt8phfvHwPn9rcYT1reLF+Sohiqvm9y0/y6f42X+5vcG9cs3UbFTQU/PTFR/nGxat8U3OPufH8Wn8bH62gJ0FcxJN77mf3dxmiE05OKR5HflFhNatLFosWgJ2G3JYOxum5+N2u39MC5Z12NDTdmPNFhsMG1/mMbMTaZSgwzEuJsofcqWNNDvAiBEFIfIDKYC43xBgwzYK43hD7HhZzOTS7nnB+gXEOc3hAOJyr4ZuEkF0MM25UG4boeL0Xs5whitFOF0ouzYxS/Tg2XqzvPzR/wNx2rEMjsrWi5Vap0fN+Tmk9X9O8xSf3z/PJ/fO8WD/lhfKUz7V32I41dTXio1gdv3f2mGtuw6lf0saS1/rrvNw8FblbLDlxLZ/cv8BJseF9zSMu/IzPb28zn/W8XD7GEflP/v1Zalcaz+fbO7zljvnm+Zf5tf1LvL9+wLmf89n9XUrjuV1c8Gp7ndfaE+au495wwqNixfVyzQerB2xjxa+tX8j+A1EJm7bV8Y4xhMVMbO/XWzEDmzfayVS4RxcShHiwkJHAqJ2YjjzCvJKDdX6I1bDAqH+/vz5X6NRj9yNu3WI3e2w3MOj89d247OklzFeAGqIhD3I6jGw/6OGlMeuDyC6NMcTBToFc1mS5vO29hOWNnrBa6Magh0bqWsZR1D7KqUr30Gzb6bDupICg68WD4lBt171s6KYfoHCMTYEbA/biknj9ELtXxEvJp/J3VHKsh36yPw9VIVk3MxkhpTBHuxdDxXLfUx1dYz0W/PrmebpQcqu84I3+hCfDkufqs2zeJhbiM97oj7k/HOGjpQsF5+Oc98we81L1hNNxydNxyb32BDpHuR5lJFC4SbVnjbzHRKZfb3EIly3JhlMYpWmH7GwcDuaZH0IctQkaQBUsqcDGj8Iz0fR0s+swZSGFWSoAjcnZWKS0ZGMEQQghG5vZbfv7u0B/hys4S6UKOvGAkfsY6nIyD2QiQ4a6zOF+xChGkYVFCB1671MYImAHz7iSEZIbfPbHCYsZsZa9vryUeI6EJFkd/VjlaDEX00q5r1HuNeTxXTQy/rRtL89UqSjfslLbikFiUppS3HwjECPjjQN5xtpBCsVUkCVEx4qS1NJN6Lw1It7YtTLSW8yIs1IQxc5jz7cyjq5Kta3whFWNC8geUEuxV513hNopkia8vk+sn+dee8K1csthseNsFH7Wt8xe4cP1fT7b3cl8EkfkQ81b/Pvdh3gyrPjmxZdZ2T2vDtd5PIpHytfO32IdZvz77YeF8wV4DFsvAoYjt+PcS5jn9XLDl/c3uOga3M5S7MUI0YxBENgxZJPBhBKbweN/P2XGv9P1TjsahmXNsJzpbFAzN7xIi20/EtMMV2G1WNhM6hM3RBkLmcuNBAR6D6GUDbzQW1PXMsu3E6Rqb1zLtst21+NXDcPKESqR037z4hV8tLSx5Ia7pLEDbw3HAj1HR4iGh8Mhn9vc4luPvswuVFz4GZ/d3Ka0nm89/BIL27GNFbdLGTV9ubvJ+TDHmsDBbM+v7F7KfJH77QHfcvAabSxwRB6Mh1xzG+4NJ9xrT7hRrXm9O6E0nk+sn+dhu+Ijh/f5psUrPFee8o2zV3k8HvCr7UscOeGaWIT93caCJ4PwZf7k4tO8vPp1/p/rr+PN7oj3zsRG+XPtHWo78qH5w5xfceBaTvslv7x/meerp1R2xARobzZUhYzI3MVeMkxCFAVLXREPV/D4FLPZyWF3tNJE2Faj60shOe/2OcHZXu4nkuO+Jdw4EZZ/EMg0kadt6tirUohzxe8LgPi2rniwBKNdtYmTZFJhcboeTC3F9ZAckcXxOHWcph80UFE9Tpx5VpkUAmaQAiEczmVzXi3ke+fNlHScZLJXzK78oqJ41GeSq1jFRzEgU85WcbaXjnQ1zzyaqG7GaPREvjRYL8xKnL6HZK5ldBySU6lHTzy/pDlZ0H/ugH/36GP8tP86op2IhmY+EkcrxlsuEjYlthUuQSY9dpZYBcqjjqoeKZ3n8nLGwWcKqvungjJpk2I6QUapbS5wsUbn6UUeYwjxvoD1RooLJSAnvoT4dFT63ktBxNwkWybK4SfZNYo07QeMEnBTESqEZ/RzUQ+RgHT8s4Lx9iG88vu6RH/bq7hssVZUkMlZV9AI+fM0LonOTNyRzhOWAvfbTrlRVgtvHwnqpGvPNoLM9E0WPITKTanFnad6uhPDvUS+TqMy9Z0BVV6mUaQRpCI7cY9BzoRekqhFtiy8L7dWruPoxW9JeTTJTj99PSHt8oaNkHr1PbvNOBUvbQqXVW+jw4WYBA5C2I2KJqMWAmIDIKik1ZDQ2EwjE3cRCHcP8Nqvz9zAtXLLS/UTPlzdZxsrPt0+x6e6uzxXnvENzes88itO/ZKVbTmyOxwhG8olzuCN4pKbbo01gVf761wrNuIPU5yxMAPnYcabKq0+cjuG6LhbnmFN4DPVLZ5a4c7gpyyr7ILujBLQUXDgK1hrX+ni3Gw2fPGLX8z//8orr/Crv/qrnJyc8OKLL76jjobjqqLyEdsN6pwpkem2VaXCwQx3tsXsZSOKTUUcA3FWYgsnm083EMdRVCDGCny7mMmhuBaprNG0XVpVGyhPAoWubSV262aE3hd8obvF1zZvsh4bXh1u8JH6DW4XF2rE0/PJ/fN0oeCjq7dY+4aPzu5xb7jGm9tD/o93PsHt4ly07qHmhrvkxG34QnebV/bXOSj2WBO4VV7yenfCrfoySyuf9Evm5SW7UPFNzRNWbs/d8pwb7pK3xmPWmi78+vZY4rT9jI9v38O3Lr/I7eKCX9m9xB89+iLvKx/xpeEmp+OSLpSMwbH1Fb/cvcDaN+xCxbVyK8QpAmXhuWvPsrtsZTyPxhVf3N3im1evsLAd758/4j8YKC8GyocXxMIxXlvi6gL79JK43cKRcAjMsagwwsFcGN+FI67Erjw6I4GJTT3ZYQ9+8qY4WGpXJ+z+mJKonSF6j+nT1xvC7N3joCQuFP0gHiBOfTsSpK2Fiu0mu/kEdUuHBuxCVo2YbsC2auxlpQCP81oloEHQjY3O6KOQX00/Zc9IHtWktHBJIlxLdg2JgFuVIlsOERPGKdxNCYr5cqrQmNXyd0KQ4LYQBdZOsnCQA0KJwfKFCDHgnm64+7/V9AdOrfINrguMc8tYV9SXgXFWYHxk9qRnnE2jD+GTSARFv5zhehjmhmvA7Mk4jVD2nRQjIRK7HhLfKaEoszqjO6bVcQ6qQCuchuORC7xYuIyEgMD5+eC0E7oQq0IQh3QZI903ouRJklqj3AexfBcPCdv5HDD4rlz9QDyYZzIzVnhdphdUyvSDjF2jkYJ2kIPJRCHLCpp0hWRqjHCmuiEnQANki/wr32sSWqEn1zOxAOp/kngmoByVQt2KFYWidGL0OE+uyEjavTa3WAStccqD0UTkhIhYPQdCXQiykkf9+jw6Q3QFflFCaCRGYvAy3vLqWxR0lDnX5HjlLYmBpqhfkm0CaR2UUnzJfQcfLDPX83wlCkpAgzbb7Hq7paKNJZbAyu75Un+TD9QPRMk5HHOt2PBicYrHcB7m+CBmiCvbMsSCu25Hq/Lrld3z5f4m99oT/oeDz2cF0I3ZhlfmAV+J1X2S3Yd5TSyt3KMxSEBk4eArGK5/xQXKL/3SL/Gd3/md+f8TN+TP//k/z0/+5E++o46GsiAEBvOlE719iBOPxFn84UIkk07stVNwlF/V4svQjlhdYP7mkWzQgye6IsPZcbOThN1xFJkx5LlzmAvjvnm4p1yvqNyII0rwVHHGF/rbnIc5bai4XVzQxpKAobYjz1dP+Uj9Fi8VA//TcExlPff7Q755/mVe7a/TOFkAX+5vKhm253RY8Ep3k+er02ya5qPJTrQJukuw3S5UfGp8Dmsid6pzvuvg03x4dj/fw+1Y8yu7l/jWxRe5Xq75bH+bxg58sb3FyrVcL9YcF1s+t7vNa911nAncKc+5PxzlkKwhOkVsJBNiq7yX2/UFj8cVN4pLNr6RDqPU7KP1jnIY8SdLJbh64Z6o3DQczMQPpDPZ+TT5GISjZSZkmf0g3a+qA8ygkvEkW12p/NFAOJ5h51U2eCsu3j2ppowMyOTXvGnr+CQRNJ3KScN8MrtK5mFRreZRiJqgcs7CYgaBgs1OVDfpngByv0A2VueIGvxm9n32AJHnqtCAtzAVG+r1kT2BYEJvABPGLDVOo6XoTOZ32F436kGLniSL9oqetD3haIXZbEUWuvPYPlCdd/lQC42MA5za5cfaYTc9ZdT7l2B3JUw2qxq3H/Bqox5qIfDS9mIQ2FTy3ppqQpW6KyOdUX1I5jXsRfIbl/Ns7Ii1iu5JkWfXO/kzHwUVNCYTwNOoyOx7QXOTJBz0YBpkfKP+PZILJqGB1moR0IPr375U8/f8SnwpVdPJXmvyuDwZ2mVUI/GOxoBN7q7GPPvnPgjqVBaS9uyeLRhQpU1GlJLKLYVmJrWIojI5PTmpOhVxzAqrwWdlDiDPTmEp1FPFhCimh+pmK55Yzx6XKdcpVprtZJF7kowUETJx1NTlUFhsHLNAw6tNACHK4W2MjKhS9trVYk2bk6zuAqyR7LeAqG9aSikyosESstt3ZTzORuFnabLy7fKcx+OBuMha2cfbUBKw2eb+3M/59HAdR6SPjiEW3C4uOFoISv76cI37/RG7sSJaVUfWDr+oleCMIld6TrsCwki0b/+c/4oLlO/4ju8g53r8Ftc7mgi7H7FO7d6TJLOwhOVMCbRCmMKaK6xiWbS2FXjPJKfNSuFYK/4TyVsluVxijNjdhwa2WwkPDErYLAuG2wuGg8j1esvStZz7Bafjkj8y+xKN8fxi+xIPRnH4G4IwrXeh5t54wq+2S17vrjErBrpQ8Gv7lwB4Mh7gmrcAiZn/YwefJ0TLL6zfz9z2rNxeY7A9Qyz4Yn+L2g682t+gNJ4LlWUCHBY7LsY5P70XR98/fvhpno5L7tbn3K3OuO0u+bVouTec8KH6PtfLNUdux9o3rOyeP3H4KX59/yJP+xWn44LnK4H3Xu+u8b9bfJk2lpI55Dwvlk+5drDhi53wjr7Q3ebnHr2fYmcYlgX2ZEGhAV7DYUM1BszWEfctpqqUbBg0qj1mIrO92Ioc9ngpn4va3MdZlbkUWVGgG5PbD5rxId0LIeaU3ujfRamms8Sqlm4rQeROHU3HgO0GQlFL8dKNCmkXklUyhpxya/cDdJ14c8wb3KkUOAwjNo17Rs3lSbLeo5WOkMTvx17upOhQqa0J0v2Y0D9jIJZyZWJZSFGwHya0R2H26ASFyQWKogxmGAlNPRVjLrk06whgP8roLRVRTSOqifNWnJzXQrYNy4rifIfpBryGSBod5cbI5La7EQt7nFX+w4RG2EEPs4MFZhiI6y1mPtOxjiI/hZNu+WIj5HiYEIPEfVIkK9vdj15kyleUJGFeSbDgWvgaadwmBGHhwyWegqHKxM7QVFKo9AOmS0T+mBVQsX730D8Kl5U1MZpcLMTkL6UeMaLOibmIAfLBnYuTK+RjnLviI4OMtSCjDRRXrAcC+jzrWkpFOoicPn/fFOEQCzeFE46oRFp/XQokLB1m22KvvC4Jn0wcExndmF5ItuaKG3UorfgyJRVWkjk7i3dSPAUKLCNmVCKpMdNzGkIm0MZZJQd6ev/pGQTlO0JhA8eloh1IsrEjclNDAiUhOeAIWCRT55qqco7snnO/4NzPsQQWtidg88hnF2p8tLw5nGQjtzaUHLkdt+0FpRl5rb/B5djQjTq+coik2k1Nh2knM8ZQWagdwb59gvdXdRaP3bbYWjagtLCdhneJx4Dmk+xb7MESfzSXzbdUuWMXpgMNZOYH0k2VhcC/VizEAemwrBVOStdLxd/UhMM5/VFBqCKrosUReK4845d3L+OIvDoe46PlybDiVnnBi/VT3uhP+Oz+Dk/GFXPb8+HZWzzsDliPDTeKS6wJ/PruRdpQcbc444utpAZfL9YclztOxwUPhwMOix07X/N8dcoLzSm7UPF6d42TYsv1Ys0u1Fwvhwz5vdEdY4l8rhWC60dn91iHGY/8ktoOYlUfS665DQ/GQ+61J3zbSkZ614s1tZUsiffWD2lDxf3+iNf662rR7Hm5fMwQCz473GFue+6WZ3yxu8Wi7ImFoF7lW2fE9QaODijPWtl8qlJm/WlTSaTBGDHrfYY6AUFNNKtDFCMS1ja8cB23HzIka3ZC/DTJPjyQNwXjIsG8i1JNdNNRE7mUFxWWM+mmei9ZFoXFH87EFv5iQ/RzUYckXkrpiPMldttJYvHZmhhLtRWXrt60Y/afIATJMAIhKPfTiCI2JWZM7smoWkXQAWAilpcCmac8JQrks0kcis1eRiOJ76XOq8Z7opFxG/WVzbcXxVCoS0xV5Mwhs5fD2Fgr/1043KWOAgonB3gImctB4WQtbDWxOcmrVUqNtYzXlgK5a1MSjw8kGFQdYKNpxK7dWmKMoqowRgjD8Exxkmbpcd6o8ZqQY+U+BuXTFHLYWRAfAhkZxMJCZbWwijmfCDu59YYDQWvtrs+fEdaKlPvdVPGUjlhKbpcYjcUc/piUOlG/TtT9NTnDJgV14lql8Y01GaEQdYw+74nXoCiM5DsptzDLm+Vfac/IydCaoE2S6c/EMkKKGnOFMxNI4YfCa+mzSV+WyeplsNkRFSYOjRTA6YsmF2lJhhxKRco00Tc0RR7TmfT+Rp9HoIl7Y4cABCIGM8rfD4pWFjZw6PY0tmeIRQ4ZvO0ueRrmOfhwiAXncU4fXfY8ueH2wnMMNQvbc+TEpDPxGuXrksOTvYSipCgDLMzASbHhopxRF6I0M0Hfi450uJpEXYIJKdD393HE89/bdVVXnuzRr7rLYmQDwJis8MGavIHEeT3p3OsCcynktxijbHZRQ6/UeTNuN8TghVQ7jmJyZQ3l2mPGMiMbK7vn/c0D3vSCmtwoLnNmgo+WCz/ndBAfkzSq+caD10QN01/n+eqUj87eEFnlMOd8mPNme8Q3H7R86+KLEtQ3XBMJmGbe1Hbgze6I29Ul9/tD7oUTFkXHe+rHkqkwrLhbn2OJeAwWw1vDMY0dOA9zNr6htgMPhyM+1tzDmsCbnaR1lsDXNm9ml84Sz2ACJ8WW03HBi/VTGtPzYDzi3M85cjtOVE30ZFgSolHn1/S5WOlQr4zjzDAqYuImc6pdi3/4WLw4nrsts97NTgzDtOMyIcI4UjxZ5w08zmrCoSYj7wfKMeAXlXQ5vSh6zFfwoPyer9u6xM8qsTVXjpRJRFEnVvGxEJmvSX4Iiowkd1MpcDTtdVFLt6K29tFa2cxTirOOMO2mxZ1tNdTPC6KSxpbtQJjXWfUWV1qYJz5GVgJ5UV3t3ORZkzrjuhT0YvTZzDCTcLsBmmqyJ0/ZNT7IqBQw25awnGFjFA5YVcpISIm3yWPFn4jMvHzrVBQeh3Pc03X2ywHk9Q9TinWCzkNpMbW+ts1OEA9rNQpevF3C4YLxcIZL1uta5CRZttu1eWQTDhdQWMKyzmMH+kEs7/VeJXWI63oJNK0KQm2xFNkYMi6KHNmRFA/Z+0bRgWgNblsQw7s44gH1vdD/0TgDMeALMmqPERSpinNtBHzEeE2OVq+RVIAA8vlcQVtScZtJsDGK8qsupaDQ/VxGRqqKGkbGm4ey16cxkhYYoZFxi9v5qaBOhY/y2+x+nPhTCZG5gq5kQrSfRpgYGT2b/V6Qj6rIIy2nBPD8d9WoMCVhpwyhzAdzVkY+/ZidceUbJrSp2I24vqbzjoeDeGc5Qk793sZSzNk0mNARKc3IpW84N3N+ZfcS37n8jDox95nveGR3vFCc8uZ4BIgHCsCBbfFqq7+wHR7Dm16MR1+snnBvdswnnJjcFbtxmlwocpIjCLJHzh8QBEU6tnFCQeqKMC/1UBolxXY1wwYxAUrMcdsOsoFsduBWgoR0PeOd27iqxO7ayVAoBYRt98RWA9BcJbyJ7Z643mBXM+xQYTy80R7zoeY+j/0Br/XXeal6wo1yzQP90LcawDS3Pf+H41+VyGy35vP9bV5tr3Nc7LgYZxy6htvlBff6a9zvD3n//CFvdsfsQsVtd4nH8An9Oc9X4jYrM0dPwBCi4XyYsffi/HdY7Nn4msuxoTSeD8weqo+E443+hOerU+a2p7ZSTAFUxvNcfcbpuORGsebcz1n7mSiRnCAtS9dy4WeEaKis53PtHVau5W55xsJ2vDUcs/cVjRsYl4FQ2gyZkw6vsiBu9yLtVjm52Wrhspjhbt+UQxfp+uNiBnUlBMSywDcVdlYLH8BPJNPkkWBbDYVUKa7dy6Fl38U8E8nN2eZCWmbRYRortqNkwNQyejT7TjgVhaAbDAr5Jg6EkRDBZFYoUmAtKIZx4vDsOx1F1NKpq5NvnDfZPKx881TGKatGC74BbCOH/VbQEZETqqJhvZeRiBaUse2g7wWlKBzheCXIytmldpxeE5OlgMrdpjNwdiEE9n0HhRQ/flZilTcQDkUx5M52QsJbzpV/YPL7jAeLfDhJ0Qtx0WD2PcXFnuFkrt1tKfcF5D6qA6mMw0StYgYJTUSdX+O8kfHLejdJkjd7HUMWYr5lDW5tclozIIdRISOQ8aDB9qM69tp86EWjKo7dkHkS0jiVk6FfqgrexaDLWCVpr584eypQMP0ohpipoLqaj5PWeVJ1JC6JERWP6TyooibxrYTkKohELK1wRdSNl1Q8wnSAWyv3T80OueLJYTc9sSkYlxUmyutPXDbxUpFnyp8cyBrVMWoOI1QOiKxVm3ktGd1Nh/CglIFxmFBgyGqd0BS4y1ZQkuTeXFjsRtCecDBTiW6c+D7tmFE/txuoLiLnmzkhGlXlFIAgHpdjw1vDcba1T1djByyBx/2Kz3Z3cvrxLtRsXc1B9YDP9ndY2T1Hbsttt+ELww1cDFyzO95XPubQDpyGip/dvsTStTSmlwyi0WBHSahOQYFxXhOuBgOqWV3ZvX2J/Fd3gQLSBY460ukHjI57/EI2HlPYKZMnRsxlm7u2uJznjo9SFqNU/mPWy5tOF2CIMqduqmd/dyFsfN9MG8aJ2/DJ9gWGULD2Mz7hX+DCz3NBUNuBjzX3uOG2eAyPvczSrYn8+vo5VoVozHt1BQTY+RprInPb88AfcMOtud8fURrPzcUlO2pCtLzQnPLe6hHresZ/unw/AHtfclzs+PDsPuvQcDYsmNuOD9f3+dnth7nXHudUz41vcATWfsapXxCi5Ua1xpnAveEaIVpKzXU4H+acFBtcJQXiuZ/zRnfMdx1+GmcCj8cDXq6esA4Nj7olbi9SszArYVbiHo3EzRZzsBSejxLRJMnVZWdVioVsWmebDLFn2DU5+jYFVnkVQvx0wuqPlRI4jUCqY8Cdb6TTfjcpKKdr2AficzdE2eDDlZYU4kyMzIKx0BREXxLmFX5ZCffK99l+PjSSGOpXjZBq1aE3c0FADvWnazl8NU+K9NwYISKbGEUmnNUKEl1fbMN0EFSlIA4+ShGTAgB3rSowClFjqdoizio1ZwqYQsc8VfHMSCg6kYNSWMzBihiiGCSuFlmlYTP3QkPz6mJywK3VN8T7ya/EWexeYGZ/LEnLzlrsZk9x3gpS0mlQ6KHa9qsRWDha5tcWmkpGNDpCMvsOm3hR1hKdF5uCphbEpB0YTxZTYaneJabrCc2caCrZhwav3AIldRe6XoMqqVKydV2ofYInWofZDzJO2L6LBO/WwzzkzyZaKyaK+TPzxHIuz7keSnghgmauSiGffyKRWr0fsRRycGz0PrQ6ArWGGEvG45k4smaHUvn5Ztfp2pUCOOLk3uszJaGhAdoRmkKQ1N0gqNjosYrg4QPMBBG0rShDQ1OAQRU2sgaNE0KrGT3xKiE8+fzMK8x+EHM5RRMzL+50K7EPCSWr0j6n3DGNrYjOTgW0ktzDXHx0xrnB2sD5OGeIjtNeMt4+vHggIX6h5JXxBjdLMQUdosuk2r0v+S+X72XmBj6yeJPaDmx8w5f6m5z6BTcKRxtLfm3/Ug5OTIj44/EAgNrKzzywnsKKQspXSgQGef1jyChR3q8VPXq711d3gWINlBWxmqpoozCiUUb8eDhjXNXi8ldYjFbfVsk79mJL7HtMVVHcP5OfUxZifd+pRfXxoQbXeXhyLi6lqWKfiXutbyzRwagw2N3yLLteNjqva0PJWg1vHoyHnIc531g/oI3CW/m6+b2MeJyOCw7djpeqJ6x9w9NhwbVyy+udFAkvLM65Xq7F2l6lyKd+KShHEMj+RrXm9f0Je1+yK/d8bfMmAJ/t7nKtEDM5R+RufcGFn/F8dcrjccUQC+a248RteTKueKW7wXvqxzxXnnHpG64VAv29t3rEOszYhZpDt+XhcMjCdSxsx2VouDec0MaSjb7nZz87m3lDgkwVxItLyTvSwyt7Y4weu+/E3bcq4ckZtpns71PUe4Zc217s3EePtfbKZiYbvT9aggVv3z0EBWvhxuGVPKgrkLaX0Q0q9U3QqOk8pgrTyAcIqxl+1VDeP8c0lRQdioQkN9g416Ru/TP6QZAFHzLfKhZWFT+IQ6x273bwk3NqQneyNDdQ3D+TEUdVCm8gucWOPuetmP0wJSJ72ZTt+SYrrzha5cMjzurJr6JwMHp1uE0ZPpqG3EohYi+2cLhQwuOkeDBJSaSjG5f8SAqnPie1uHm2mv5cFcTjFWYnycb+ZCkjtysIhvGyFk3byXO/msmfH63kQOo89nxN2XYZ2cEHwrLGGpM5RWaTRk6WOEo+SS4AYeJQ9GIRH+pCDlgfsOutEL3fzbULWWQAwv2I8wYQb52YQuE0KC5bve+HzAdJxbNNfLFuyEnW0RpBR9JIMSEXQPloLaP4biSsZLyevwemwjeRtgvdZ6yRHCNrJCw0eXWkw3IYs92+fXIh63BWqemYOCzb7R5/baWfharEUl6QjjFj6VRqLYhHyhfDinIrIaZZGeYMGHn2w7wSf5b1Xva61SI/wzhFMkNgWMl+2t5b8W/PP4qtPNFbYmf52fqDEroYwZSyT7gi4ArPOBTEAMtVy25X40fLvx0/iikCVTNQVSPbdUNZj4RgGM4bKFODA6I6jJxcX3P6ZCUNlTeYMmB3Dl/LewlNIWGh2oxEa/PoMzTFtOe9jeurukAZj2a4ncrJrKQkGmA8bJQIaXC7Xjq7QhjW0Yl+HZCMjNGLadROyXDjSHz+DtZ72XTXG4GyD+aw0xHPoIu7FNi8fHBOrE6wfcNb20N+tX2J58ozng4i/b0/HHFciG/IYSFGOed+zrdUr9AYk+W6AM/V57Sh5JsXX6bEc+qXdKHgufqc03HBemxYu4b/ZfMRHvUHfMPidd5Uj5OXq8c8GA7pjby/j87eyImUz1fivPn/uvhGNr7mUXnA85Xo3+9U53ykfoPGjPy/u29gR83d8ozbxSO2Zc3/5+LrKY3nuNjyweqBGP+MSz5QP6CxfSbMrlzL3HXCDDeBE7fl3M95sXrKK+4aoRISld10U3Kx9+At4eISs1rJ/T5YyeHUD4os6BhkHAkXl9imFt+a6yey+Wx2GMS0Lc9xfZCAxxhhMcOOPptKJQvt4l3sQmNTZ5QnzMo8i45FQbR6GCbFix6gxCgoUFKaIR2p2/ZTDsxMv65E0+iEtGjGkKHouGiEu7KdzKaSR4MZg6AiSSHho2yyUR2YQwSnhETnYN9ljkSWfSqML8hKJ6/J2WcI6bGpnw3lGz3GxVxExSAhe3Gmfi3OSVGl44NEZKUbcoBcbKop5yZluqjXSJ5/G40Q8FFGjCESvViMh9Us2/KHphTeyZXk4lC6TC5OrqhCpiyleEwGbyFgLrdTgVU4hhsLysfbZyW2Y1C+lARaGi8+Ie5Cc5QQXpCNE8cjLudK5v19X6K/7RVrB3svGUKFsiMzVyfkkY7RojJlsUQj5GiRnFvAKNldVF6mLoXPoUjn1HkbTJQsJxvLqXjeD7kzT8n00cfsgZJSlbFRi0vlsziRbRsfZD9XgnOsK8LBDLtpdZ0UuQAyPhB9ldHO1OxmYmyMWdkjqL6TAia9h3RPknHblUNaJM0+p6+npiFxYRIh24aYLURmjwP1qcHEkuBkjZe7yDgr8DXYHkV95FkNTpQ/Y2PoD2cstlBdRKKDUEC0NSbAtQ66I0Oxj5TbCMZqaCKYEewI/eo6RwaIUOzlZwBU6yCGqZ1/tmC0QBTkRACEtx/S+lVdoMRS5pK2GyD6/IC43ZCd/7IEMG1M/TBJ05J0az7DBJ0PKtQXLy4xyyXm2rGG1RWyiV2u1VlSYF5zeEDc7nCXPa6bUTrPLlRZ3ju3PV8eRPZbFp7SeF7vrnE+zJnbjrl5nS/1N3mlu8HjfslZP2dVdKxcy3vrR3hsdu1LCppG/733FWvfZJv8/7J9vxQJpuO/rt/DtXKbv/9+f8gn7AtaaOywRD61e47DYo9zW361fSmPoFau5fG44sF4SIiW6+WG71x+mp/ffohf3r/MrfJC/VcsJZ5Xhxs0pmduO97oTwD42vpNdqHmybDivYtH3Gku8bUwvGOtfhE3TrIiwxwdyGdyeqEjCrEIB8mkiHUpwXKAqUrMciGFZgDTqD9He4U4WBaY5UI69l07hT7uezm8U0jdu3SFphCuxRikYCsmImTmZZgrDznkUYndddmvxIRAWNT4WYlTJY8ZxMHRtL2QOO1MZZlh4rqMfkIchhH3REifsSymIiMqL8RZeY6uutSOmsJ77UBs69UoMWUEocZi2bnXiouz6QYRNjgLuEnCqb8zERKtGqHFK9b6oVYibVJN9KOMYJISqVaZrrVEoxksVtETRMFlNB04It4UjIMQLpVfFmtJM3brdkrGDgF2al2vcHwuNJrkzzNmLxQgj4BSd+22wxWiq+wNdtRGJyAj5G7AJHVJ4bITq+1HjB8nsmwoMzfuXbmskVGbFSQhk0itzSMt4WyI4kUQjeRXgu6/NqcNZ4M7PeRjXU75PukzGDVtvhS/njRaMaHQyIGYkRNgGimMYZIQK99ErOQVler8RIptNFqgVGl8P2YkJzpLWDbCX1N1SqhLwkx/TohYH0VZlhRozk7W+qV9toFQQ0RRyZksmY6ugNEQl7W8NpAix5psmlidd7i2EEnvGCdFl48MByW+tlQXo/BBlCOU/IKGZcnuVknRRsqtmB4CuC5gu4AbAvsb8hrrsxG3lzXqa4evLcVeogfam9JUF7uQmwE7hMnzpKlVKh74jVoEP694u9dXdYHidgO4RhwZE+PZx5zxEutKNl3lG8jGW2QylWQ26KZ3uSUcLUVRoYUHqhhI3Q6jF5+Ow1U+3MKygWXDcNLga/mgPr25S7mSYuRzu9u80Jxyrz3hYpxxvdxQGs+jbsn/t/8Yp0dL/uv5e7jTXPDm7ghrxEvl4XDAL128RB8clfV8eFZzNi64HMXJdQyysC68KC3u90d8YX2DR7sVR82eZdlxu77kjf0x67Gm9SX3u0O++eBVGjPQxpJX9te5HBu+tLtB5wtaX/C+5RNe39/hvJ9jiRTW8yeufYafWX+UL+xusipaPrW5yxAt9jDwZFjxsD9g4TqsiRy6PU+GFf+h/xruVBccFruc8xDrwLB0uEMNpkPgXLPv8NcPZSPOZM4eajkoOL3ALlSRcfuGdDl7Cb+Lswp/bSVql10r6p6mls+5lhk4hSPMSiFvRQ1yqwpifPeyeABBJ5wRTwblgKRRjHER+jARzULM7PjcXaPmdNYKQNEolDygHBDh3khnXuSfb1QKS6cGYgnJ8F6jIARhCpoXYrcIr6eppdNUNMQMcv8TpyIllaZQN1AEox/EqGrVYErNEukGIArxr1X5bCqcUvcYdfNNnCOv318WefOOpSUGNTBTPksiuKORAbGZAyaTIqXLVf5EMt8qiuzdEGf15F56xQDQDCNx3khWTu+ngmzX5QYoFSFhVuYwuugaHW/oRt73gmwZI0VblM82ZN7FkA8yLNOoIl3OEZp3EUIBKY6vWAHgA6aYii/i5ISLxi1QqvmaeqX8JpM30DEAk4IljTz9hM6loFYTouRyJTXPbyxOkgdLQmE14sIE8T0JldNxWi0IWSPrKqOBmRejXEZncJeKunqPScVoanSTt4sxUoSn0U8qQszExcheKU49uoxGG1hLnNmc/C3fbLKay7QtdmMEPaqKSf1j5e8UOythgmetmJNuO+FYhqDrekmorDqfB2wvYxkCuCHgtgPlTN5XsR1wF3tRn83E4djuelH7VZJh5doxc0qMD9lFN70/MwxSuKfPJAT4CpbuV3WBYi/2mHmRH+JsI60HkxlGqcwtWT+fKttYuMmJE7CjQICcX2KtJdw4yiSwxGsJh0vMvMHPa+liY2Q8nknabG2p1oZPvXKXZtnz680d+rFgu5YCyLoo6zgYCIaos7v/zHuIuwLjDbEKuPnIJ/rnpKsLMuPDRP6Te5/M/EyUYqsIxM5BEYQO48XbI3aWN73BbR3/df4B4szLzxhF3vWz9QeI+0JminWQjma0mMEQi8iv1C/BYDCDJTYeRsuvHjwvo7N1Ka9BSbH/sXqfwHyVZxwcMRiqZmAcHaF3uMpzsNpRFZ5uKHBrRyjiBL+XTqD70UsuRmFhJrLvcDDDz0sJ7Zo1+jkazOizG7Bk0ghSFuoSFrUQDZPTqY4Z6IcsC00EWlGmvKPL9ZnLbjpMU6iJmHp6+CAJz/NKCb5RHUfVbbb36iFSTgFcydMDMOngv7IxmmEkdr28VU3aTQTM7D1RFnJ/R595BXTye62XBNeUm5Ncfk0ngXmmG5R87CcyqTr/Jlv9rFRJtuRpnFUWWdYb6yrP8TPCo0GgydTsmUwbe+VQ27YTmV0Pi+gsKT/LaG5LzHk6GhCoY1x5jVqgtWPmMoV5IynmakBmzteYGLHKafK1w8UoirIQ1OU1EThTyOMgQXjWiu9JCJh2Qlzy62lHjJr2xXmduVcG5HXBRBq3SOH9Ll1mkPwjyWRCxyj6Xmo3JVbDND5xFqoCiHlcmYuZNOZLaMtVpO7qpUTqOCvlZxpFWZLiMv2MYuKuJf4GengmxVwyWRMeiNV/DMWuJ7oiH/4mBBiQzw2m96Xoo+2ucIGMyanVcSb8lDS+AqbXxVREJXmzuO3KfRgXojYEObdCKmr8FZRoCNkqI/9eb8Qdu5BCO9TC+WIcp/sUI+XlIIgOQB8IpaB2klE3Ul7KfmJ3/TP5RcmJ3QwjxUbsD2w35DBIIEcZWJVT4yeESkZt8SuKafiqLlCEOKibc3uFiIeOe/ohh3iROpLkNqqVu+kG6f5mlXRCq4UUN/vJ7ClBf6ZLRCj9cAuH24qFdrH3nHzasHyjJBQVxCXVGDnqIkSwQyTK85mdAO0gD4UdRD8eSkt3VEOE5mwkFDDOBN5zQ5SsFg+hMviqoNgFij342oIBXzmScVJ52YOBce4IhSEUYKLBjgbbS27EcFBoKJm8BhMivnE4NbAzAVw/0h9UDAtLc+rxNfi6wI6RaJ1kyIQoFXmEaEolfQEURNcQLRSl4dYu0DwdcRdt7jbsxTobXdlkdW/1QdGZrjio6mGXRjQgr1E9arCWCIRFjb0M8rOMkUNGxzlhXssB3Y6YtsOO714ibHKNNKGUNNvk9BqCSIhHLweVbgxX4+hTdg0gRYgVKD1lhERrhVQ8K+TzSFLHYYSLvShOBp/RpWQQFhZNhq9xLsuH46wW9ErRBLuZDlJ0w0rhaAaysWFUkmFo1N/DGSnMWpXtpqj6ZMqVRjqDJC5TuCnDJBU41uYQsmRm5YyQIBMHKSZ/lb3I0IMRDx5KmxUgBLDDKH5HyX8HRHo9CIHexOkwJRgpZlTdY7Ye4kzvQyk8oCv+JWbwmb9iWjGyCqUUfOlK5O1QFRSnW+gj48EBbtdj9l5GnAl12eyVJCmOwukAezcu00kBmt1NjSRqgyKinSc2ynvSwz19tpj4jNFZUnUkbsjV7hvkgI4lmFHGs8l5ORe+1hCNmuTpGjLaPJoQJ2lzkuK36khrpwDZLOkekHWxH5T3YZW07rOsPz0jydPEbLUhSONSRQv8TPg5xVpI1znqQJunuKynn9GrE68zYAKmdhTne0lrXsoIKRF7w7yWdZWRGLLYQJ6tTgIJ59N5l41GtckoLlspjAqLGR22F5TV7Qfseot9cka4fU0Q6kWTi7JYOvzSUfiAbQdyuKcVs9SEqpigSLCS1DPJWQMVrxLCf7frq7tAAYUOC52vF1kiiffEthUegs4yY6kEV1eo8ZoXVnzqxHbtBCsCcSV/115spcMz0sG7M/l/E4JIzQYxsSqf7pinw0Kht0Q4zCFwaNVsDHazl5+Tur7CUj+Wit6t9fC0soEZfwU5SP9ur2jwQ8hEydxRapeZMlTyvBOB95r7TItIOQUpE+XqA1c+thNU6mzOvJAKWRdbGoM52azcU5EEh1VzRVIpG4bdtZPqRt0/JYNDu46k7nBukpH3bqrmr9rZgxSi/QBXHibp7gR2jQGoygldMEZh8tnv27L8XS99DXKQDpl4adCN4Eg2lXBQYLtRoFad/YdKA/yszaTR0BS4sx0EvZeLmYxoSkdxKY6rMbmrzpvMVYm6pjPitOmm9ZQUEqpwCIvZFGI3BjJjz3vMPuRIAukeyUiODUGs6a+tdDyjvKPUabbCC4tNqWiJKpEutzkp2V7u5Hv0tadnukjps85l5MZ0/eQZA1BYKSDSQVg6jTsQRDUWjnC4xK63xKrEHy0FIc1FoYPKwFiJNf1e8o1Mp26/Tj6T7JkCmLF41s7d2me67ViLZ4rb9Vh0ZLfd49r55L3UytfDvMzEZtBxU//uFddCSC4kakLRARuCcDRaUUtlpKAucvEaazf5tyTENPN0AnYnY4vE44lW3VkTSThKvpHBT2utsDLKTd4rqWl1TtKvo3rMVNIA2M1uijS4QgtIacyxVkl8ev0J4YC836Wi0m07QXGtyOvtRoQW8WCuRnE6nmsqWTMx4g8X4sG0bjPyAainivC1XFI7lU4LUTk7xqNZvo/JwVZeU9AiQTl63YjREZwY1dV5789GgozEosIOHvdkP/ksGcP44CFFURCOVhPa1I85L2w8WeD2A2a/Ixwt8fMyq8zcTmTwcj753ACZECUmwIJvroRk/i7XV3eBUjiyo6B2VHa9n2aiBytAEAWuOEYSBBqzbZ9nx6ZVKWNRTARKJw/Q1eyhbMesUjo79tAOGCUSxrKQrl4hNauFU/JYiPNGP2w/OWwqFGd8yOmoiRsQU2ZJ6YRdvt5iVgsZd7RqhHUwF1/YfsyBa6gnhekEhserWkkTZBmuQI/OaRYIz3YmusjtZjfN7Ge1wLse+T0JqrbyINKOFOu9/O5hzDkpdreX32GM/O5OU6OVzBlBfm9ViqJt9BoYpoXR6HMqbiLW5c8oQYmJUNf10mkeLKYkUqsPsqbL5vvwLl2JG2Uvd5iE9GgRaLoxy6NDabEd+OM5dj+IPD5dQVQyYt6ko5JZrdbybirg1FAqzmrMasFwNBOTLVW9mdFDS157YdVgdz3j0RzbjvmwNmpY5g9q3KbDnm2IBwviUkY+iXdhN61GC8gYJS5m4L2kUCevmoRkFrWQ/zYtUbOScsFUOMK8Ev6GEQt4CZXTeb/32MsdsanwRwvsxU6QpfLKMzxMjUK0Mj6w51vl1JSYs0sYBsz1E+GszWsdnY3CL4PcsSZZu1FFmPFi92/SWotRxsbKl7G7TtZ5VRIOZrjTDWHZyAauEtOs7FDfH/fonHC8EhLpIFJa40MeX0tha6VgeZeuhPz4VY0ZEjrm8uvLhZre48TpsO2IX4iTsO1HMKUQXWPELypJ0O4lgC+Z2GX7erXQt+dbMeSclVPj6QzhQNas6aXrz+ZxV8YjsXTicaNFSfocgGlcqgWI3cp5kcZGUe3n3aaTM6cWJZ1LozhF5cPBXFFA3c+9jrLUAsB2WoTpGC+p7QQtHGHfYUonSMmuExVcXclYK0RBNXSMFktHOJ5nxV1oSuKxoXi6l5FxjLkBluRxl/lnw4k0QNWjDWa9y4V0LBzFC8/LXu6MNE+p0DEGd7HFbizjzQNMJ3toqOX8KE/7HIKZ5PhhtcAU5MYwWgvxD4iKRyDyQg5T5EOMVSmHcRoVJEviK26QJm1c1ipf5dm5udh0qyGUc9gsQyszOdb0g3Sidambph4ucZiId8NIXM1kA0pz1Rgny+5E2E0Jp2meWBZymCRVimWCSoOf3lean0M2IzN9lA2s0ahu7VZzCNeVji4liMZVNcl6Q5xGYKuZmEMpZJ5n/AnJSD8rRJnvpEo5p5k69beQTsuU2o04LYDmNWarnWDKPtIDJkK+PwKzBmIUTwo5+FTO2PbKN0iuoVMxk4K/gAmpSZktShZ9t65YOvHwsDYfhLRDTshNB1Kx6bG7ITskAyQfCXuxzbNz0wXC4UIInO0gstfB4zrZkMaTBXYM2GGkON/nA0Q2a3HwlE6wymRNQWmQEefphfAx5g1uq6qHeTONfrJCgyzBjYWTg3YrRLvYFBN3JCFZV4r/XAg7mx1xozVyECaSb5KfpucFIETsps3j3uzgWpeZGBwqJ8Zcne4DKd5iOc9hfTH5wYySw+JXDYRIcbqVZ6CUgyUiYw6z3slzmpKZnapWvJB7w7LGNClBucgqtHRgu85Pbrd9wB+v5DBRFRQxigx9rhlgbSf3MkbindXv6/r8nS6RvievGSFnp6Ii1pI9ZPxUsITSiRNwNwgynFAHZ5Sn43E7RQ4P6mlMlkb16aAvdByYmhQd3aWgWCAXSmFRP7O2ohJB0zNkh55oiongqXLk9Jqy83I/Cj+vdAIKlg676bAJMbNWTlH1FLKXO1n/WlBnP6KE9KdzJPkyWSm06UNumkw/EucV48niCgFYRk9m10FfElQC3R8K6lFsBeFwO093d0n1eI87vZQzRBF6Yy3hRNZN9WgjvL3kMg1TKrwSxmPpoESQO6tjK0W3jFfEbNNSPRzzyCgpL81gp5+ZyOMqMS76t2/v8FVdoACy4enMK5mvQZqF6gFUOCgUWk6OfulK/61wcCLWGi8HqymvMNWtlRlhp5yA5CobU1FQKYlToeG6zPkQIp27ckBudpLjk9QK+wRVy+GdCHRm3z3bCc/n+NVcMmxiBEyWzcZUfKXRwfZKdHdVShhbIlXGqFkpw4Q+7SbuDkWhxl02d7wJxot2qrZNTNK8YpoDp8Jr8JjLlti2GY0x1fT90Rjhh6QDDnJarnSKim6lgtJZkf0l0tuV3I702WVzMmen0LlevSzSe2m7qdh6ly6764hVJSMOTbWlEj6KUVjVPr0kXj8kNoW4WtYlsbKCNlSFmEYVVsY/Tjpy23spTtrpswvLWoqY/bThh5XYvdtLGTMmXouJMY8iUmds9j2mVp8ZmMiuaTQ5FwjZ9hK4l9GgVLwkQzjvc1aQQMrqQqtjFmpBMmNVKgm3x6aNLcH0yAZOXWruSSkFbNurtDGNa7tc4Ntdj9UDMEPdg5+kwrNaipz1XsZYSrqWA1iTnb0iTspLCcuGuJLntzjd5ufVtv0VTxlklDR4geqdFD9+UeP8IETo0U/SUzW2MtaAE0Ksvdzh9p0qEa0kUQ+jxCS8S1dSFZmgppiDn8ZXZtqPQl1mvl50hjivsJseE0PmeIByL0KQz38MopD6DWNkIRWbabxwZQ1mY8BZBTYS6iLzIexekfIgWWvRCh8lqD+ObcdJTZSVUjHvL5mwG9VEbdcruiVGc9GoXN3oGMqXkw1+KgxGRZT2gnYKJYBpxK28lcSNck8usOl9B1UvpRGZokNpBFVsdcSWisZuwHWKai3nEudibN5Tzb7PPBhTOv2cFKnqeljO83Nr+kTKlvG9S+GlGhkSnZH9KpGir3qcBORZtDL+xBkM8szZ7dsfT351FygxSgfTacfRieQsXh0FVALtJsgUBF7Pkk4lU01hYf10wCbXTGenzVnnmzIqmhZgVKJUdHE6NGN8xmgs/2OtejaE6Xel19pUkgZrNPK9n7gkiQxqBp85MMkVNGqFnNj0qYhKjpZm302x3ulgrivpOGLMbPxohQxoWs3JUSJl6pbxIxibR2UZvejVNryaUCZ5IUbyda6YdKV7YHcdydretCrvToz8mXJ+hiF3H5IWe0V6k7r/sp68FKze3zQCguk+Kpkym359BaFVv9dXLAtiVQm5O42dYsReyEEWmgo71kqudLh+zIUJ6swYrSVWZjIj6zym1Tn4vM4+E8mnAfWSIIwYrxLFZKzVj8J/SeZUVwLq6JyMadI9VY4XoFbzhfAHnNHRo7wfo6O5uJjl3xNWjRIVdS1fbORnLeeqrjJZ9RHnjRQwmwRB15nMmki3JiqErllMZtsJ0lO43IwkvlZCLZ850K4GwkWVNfsAVjvWfZ/XYire7XZPOFoSa+EhYI0WNFLExKaCgowE2IvdFHoIOXIhPyepON9rInAy1osRf7LUpOCI2exkLLpoiOt3MSwwiHolH5QK3WczvESITYXMqO7H6vESMZrbpIiXklYBGY2kxjJMYX/R6r1Ln7tnUhGlfVVHf8YHTLAQISs4Uc4GnliLysX0Mf/uTHxN4YHKh8pKIx/U2mCQAlydaK/atkdrQT2eEmdDiuJGKABXEpJN5yc+jv5es1e0YTlTrl6X901Tlfi6IJaW4uk+c9FcNxUrfi5FbPpzk3iM6f4kBCc50yYzx7qUUXLy6Zldef1uatzNRvfoQUac46zAtl4RMymwszwfpqZ08HDlSPhKrO7t7/4t/x1fV2RqZtdOcrY09pjVzyIp6SBNh1gqCrTizTwKLQ4kiXEioXIFnYhNJZLQVOSkwz8tBsgdXDhcPOuaiRRJWd54hdgZncumYtPvqTJiEeaNhBlqZ4pzmdyUkAPgWZ+HVACpQVJcNMTlbNogvahehCgpHa48SJObYTJcSgm0qegyiTNQqE+Gl6LLjB7WWylsEvdH72s4XIjCo+vlMMuFRkHQg9DsVL8fozh8zsTbRAzD/GSC5Fz2zEgoVyqSTNdPnhhpTdRVtlNPI4F348oPboxK/LxCHAtRuqWyEBK2QunJFXY8aFQqK86NGYoOQRxqU+EJ8tn22sEXFn+8kPUVkM7m6u+NSmJuBzGPC1fSV9XtFGv0c1MXViV/mmGUP7/C08jrWj+rcLRQzkU3fV7OSgGTsm2SmikVN85IMZDIsWk8WExdrInq85KCJ5O0NHGaCos/nku44KwUX5mrz4UWOVHHa3FWCepyup6e5VGeNa52ol6f11p8lmLpiIsG2w1SlBjJmklogldfGSG0u2fcQhMB3273whPQbnryk1Aoviwmm/Z367JMZMtnkAdFStSxOY9fhpA769yRp1Hx1cYloSIJ6bwyvs7r+cpemYj3QDY6TMGARNTgTtUjyXemG4VXkUjQ+YXHyRgtfW7Kxcv/JNuKwk7v2155TenrLnEtBFUQ8m1FmDdTwcOERKV91bQyYgnLZlIqXXlv2dU2XBl5jRM/KdrfMPrUxvKZvSXzv2TfNm2H7QYdzRsxTLTioptQICkSXX6N9mIr36dNiG3HfMZG9Yu5miKd4zsScb58+7jIVzWCklwmY+Fk3GJMPphzx6zQeZYn5r+sH75KFtOhGgsnh6DKKxP7Ol5BVWIxeVdMhYLOEmsJp0vkRTG1YvqQYVILJdWBHuphOc+bbFIjxbThqhzTtAKHZ76KeoPkzb1wguY0VTbOERJumyWUtp2s0RPhj72MrGJCF9TSf8q40fumCMQz9zBGMIpQ7Vt9Lw12t4dW4GlTJ2t2P5kYtZ0EMC7neex0NalXxmxqzLVrM4/I+CBS0nSlzTql2ZZuGhWpv0ZMK10VJfkge5cus9uLb01yHE0ktZTlkZxV+0EKgK4nKBnV7SHWTlwt1Uo+qRQSHGv7UdQ+6ReqUiE6OSyznDiheOlSvlOsC0VD1IBNnVsJUQqKrs8NQh69qOeMoDW6rpJiQu+7vdgKqpezS7Sw6Abi8XJSNSiaGZZ1RoxERZBGuOKDk353aApcOhQSYunsM2RKyQgZM+k2+0go+glA4RiOG8qnQUYtoCiUwUTptoXEaiaSY1kQTTEFAybe2xgmWXMhIzC76+UgnVfycanNgV/VRLMQ3s/oJyg+hWbO6uyESjCE2buoQLOGGC0U2hAYVS0asZCfxj9xUsRYrhgHTpJ5IYbLcz/Z0BeT8tFMh3JCS5Iq8OqV7o2EwiIoytUxXuKWaJig6QbiUotNRZDNMBJmM31OlNuV5NwpJqJWD5eEDiV1pnJqjBY6yQzQJKM2HaObXmTOCV2SF69jID0fQmmx+lzm4sxJ2Klpleu467CVk3uZRklpFKrRC2FW5v3ADDpy8h5sIeems5henLatji7NMGJ7fV6HEYZiKjg0SiLZdzidWORnKEmXU/GkyGz+fEA/C/e2l9pXZYGSVDV+bKFo1MApSBR8pX4ZJlXtQfJ1XA1OZmTRd4SVzIZNGDGna9nMDlfYiwslYJbEMRIbHQ+M7QTF2xp0k8N4jO+hVyVR0C6yYIK891v1LmhlDukscdbAvACvcPh+R7RKxIsWKpGcMnaE1hDw2N2WOJ+BiRjfynsNQTuaDlT/nyFLIO6jvO7RExqLifJ6o3aoZrvHL09wzsPFGXHWyD1K/IVFg7vcwrCXg37fgjtQueiVLsRb5RpU8p42e0KFvKcIZrPJhWBsga7HDy1UM+j30JQQBylCxqResNh1T6DHWI+JvSJiPQRFjuKIOdtIMnXhgB778Cm+KvFHCwgeQ8BeSshaXM6JyxK73TEq7nhVpfWOXT6AQ1EvhawhQ+RZtaFIS6wnS/cse0wjLJfkmy5vgDGKX0+whdqETzt6rJ2YhfnpdwAyl9euNAajnZE6qEYZ04V5jV+UFJfinWC7gVBIXk6sClGXqNV+7o7TGGmQlGW/qnEXYcq0ck7uhbXTBmdUVaaHS2gKzSopsuICmHgz/ajkceUr6Kj3mTHEqs73ODvTxivffzVuoFPzOHdlnJakqWns1qoazVndg/TwtEb4MOmwilH2C6cIpBIskz1BriKTEV3iRw3aaA2joI7GZE6CzC/evSvFjIjy0F9ZQ/L5MEbMOD6DnJirL/nqM2elwMQaivO9FGsuqrlgwA5DtpFIeTehEQJqfnYVRUzSYTuECYVRgv5VdDsl1Kdiw2AhWHxTUCTzwYye6efkbPbCyggcTGMQVQrZTTehLj7mcWhS6flZKeq4dIYEphH1MOb4i1gXk6S+HbHek1KPza4V7hmQXHWdjor8slZemiFW8jlRWOgG7F73bB9kXDivpcgePXGZCK5eGhClENjE9SuLrFKNVhRNoS7wJ+odFq6gwoWgNBkxUpO8YAwMb1+c8FVZoKzXawD+w2v/99/bH/zm7+2P++/u+u3e34Ov8Oc8/W99IVeuJ7+HP+v/z2u9XnN4ePjO/lLlhghXI2bIOxGssww9BCWxOuimzR5042wqYmnFfyL8/9p7+xi7quts/Nl7n49773zZxsH2ULCsiiilIESMSqBKIU1CYwkSkqpQRY1IRaWgqpEsQG1SlOJUDWnoKxqpFNpUlSCpUviLSFFQKc1bIBGplFigH4H8QVQSk9SWf7i25+Peez72Xu8fa6197oA/xsTxeMx+JAvmzp2555x75u6113o+wD40YpJlJDkWCN1rBMQPZgCINuC68OuH7MKQc6ms4Q+rHndpYns5dwgDmVkbwxb2BnwcMrpRc6qoYMscwtwAmpfT7SxJxkey29Nxbb/sCgzlhAE8z5bFww4188Rx91L4MWZ5BKNjTykCSDoucWwSZGwzMY4ywwpZ0XVxAHAXVczqCAXgHGcPlQ4BU3zdRP6tZF4SrliUjguviKa582GEL6HFph2KyV6RsfLMsGTViFTZDCsY7aQ2LdzS2pFk7dER7JTr3LlrtjNH07LnjhR+cXwB2d2Pax7F6YhqguTuFqtYoNmlGmEgMQsAqAWQO05Flu6BRibw30/nEWXrlu9x9WQaaGeduzSWWHJux20nTNAMnsyCsk5ZtII7GKRA0ovQehiIjDnj0UooHNxiE/9uw/SAOYXaJZLiicdgDvZQF9YJEkmwcrcAqGmcHkdUKBUZUHAQrfI+tEMRyd1A5+8imwNT1dxRliI4DLjb7AL4Hqtb9tCSrk/YMB07gbHQLDLmx6mMebqE7/Fx2TrwPkM4U10mUzdKNUC3+VoF1mWBMj8/j5dffhmXXHIJXnvtNczOzq71IZ3TWFhYwIUXXnjOXWsiwuLiIubn58/8i6vUfIJ/oMXICgfG1ncFSeRBGURyW19GWkti8a+OyZJJpVJ5JgRzaJkdNrGjolyRMNVjR+SFccfFcoY7g+L5E8oM7sgQmZpiBdn5gosmt8hdRuqVPEab2IGCCF4ItdmREXeN2m40Z9oMVNhOBeBsR7aEqGMkHJGLqtB5RzQASBRQY2nZ63VsPWiWHW2dpN92HSeIMV7W7ajF7p7yLJq6wfP5G3kMMjogSaGmIhPDNlkIieBnC5iW2DXZitNm7mAy6uSixgB9lRAziTfMDjhratwR+qknaqex7GqbFjReO6M20zSdeWWecRGa6QiaOTxBfF4AdORZAO7wImKMgBbhmZNRbOBU5zZwF8oYkGNHaxLTMlan9LkAyRElxqFkbpET4z4SZ9u4OGYWfpChnS2RLXCnOQx6XPjLCDIUGUJuEQY5k3qFL8NJwBa29gh5zn5UmYOfEk6WGJhZTSouRYXm2VGX/ZzaWGjkh5ZZBq08RyWkE49o7Khh6/pGRlF51oVSjhtgwA7KmgcVBnzvTroLk8QiWO0quY6bEmYHsEtjNhztF9zxyjO+B9XwVGMVPAE9caSWqAGV9NOgh+zwEGa2x1LyiiMpwlTJo03qOkCxaDWmc7ldBdZlgWKtxQUXXAAAmJ2dPacWzbMZ6/1aP/vss/ibv/kb7N27F/v378fjjz+Om266KX7/k5/8JB555JEVP3PVVVfhv/7rv+LXVVXhrrvuwr/+679iNBrh/e9/Px588EH8yq/8yikdC00P2GMmGvJZ4RoUEnrnojEaE0FN5DLEsY9zoizoFDVslFYDmUWYKpk0SIBb9h1hUfgsAKKEtZ0uJGk6R8gsXAjsqWIte1h4D3e07cIFnYMdDmFCLxYrAKIHEJU5f1CLpJA9UUw3szZ51zVqWphDCwjnzcYYgzAzBXt0CVZ4RWZxCMypyZaQ1Y3hDpK1sEtDlk0KaTHK03X2P+ZxQyh6/CE7bjtjPx0HjcddYabtaAs2npIRDqoa1geEWTa6Mo3nhWpQdIqLNsAt1HEcxK9BHJCpXSwI8ZVkzKS8lSDpr1UNODbdQyXcqjKPJHGj9gFrgDA3jWAmSd2yK/YBpBJfQjfeAqKMNkwPmOQfAp9T5MEJl8mIiZ0xbPk/lrA5yf4hZ5g8P1msyohNHZMnc4oo50BA4wnZ4VHs+rBNhO24I/JG2Saw54hwgWANcyu04CLi8VLgIorJpqzKol7Go8E8A7LuXoiGcLK4sxqyI7KbxsMsjdgWQnPHigyUI44jI9/FmC71miiSf633MMtjzpQLgYNvtWuh13DQY1Vq7hCme9zVajkNvd3I0vhsic3WQq9gC4JBCTJcwNm6BZaZIxk2ziAmowe2JjCifuPIOPbwUWm/Gu4Za1cofU6G9a3iSUg4BSwvL+Pyyy/HAw88cNznfOhDH8L+/fvjvyeeeGLF93fv3o3HH38cjz76KL773e9iaWkJN9xwA7z3x/mNxwa3ZqVjAsQOihnVMIcXeIeSsby3s7RmJ0n9UPEzpcz2eafvBznaDezjoRJC2wRkR0dsICUeIKwKsFF1oMoUtoMHYMAfasbw80WmHtvcyn2RsE0zbpmUK0R1szzqWP2DkouIsmB+QiDxWOCdNvXyaCqo83WMK/YimZuG3zwDP13GJNrYss8cmo19vg5zvWidr2MjMxyDji4woU+UHGFQxDAztKGzJpfdoroaQ2MxMrazRwhMOFS/jH7ZLRgAk5U1+bbIeAcpXAnoB7K0+aN/h0r3AV6YpNhiRWIFHF2K3BezuMzXX0jzYcsmhHdsOKX77bRCuUXaIZNxTpjtd0aKNDHCagNbu4fQSWuFWwPH97h2EOwy32dOguligSmLccxuUsm7yoPH4hg8VXKYpRLugW68CcRRhxlVUqgwh8aMGrhhHbsrkfg5qeKSQkwXfjus4ZZrLk6kQ0ZlxoaEznajVKV/EcVxpx1W/HcwrjiYMxCQZdG0kUct4oYr1gKk561jJylsrRwbMgk+HI6FV8JdN1MLt082F/EerBvZIHjeuKiEf1zBHV3m4xMSN4DoV0POoJ1baYQXC9LGsxmfdICj6V7Fkn1zCh4owDrtoCQkvBXs2rULu3btOuFzyrLE1q1bj/m9o0eP4p//+Z/xta99DR/4wAcAAP/yL/+CCy+8EP/xH/+B3/md31n1sVCvRCj70h4WG/eq5h1yv4ewYYoX08bDHRly0TGUccGgxzsaHeVKgeKWeMeCuhGfmbqTrm+YRjtdsHtp7qL0M8z0QY4JnwgBdhiiQZ4d8+Iec21k3BJENRQj6TPLYw8tunrM04g+Ei27gmaHhWw6JTyMuo0fuuR6vIipEi6z8NPcKoYx/MEtYyYjnSK14rZAJ28eiqnZVF94H6UkxYoUOfCIhdvqWVz8ormYyKmNJ7bOH5QgC+5KNS2TCis2SmO/mAx2zLJrtjWwPOtXQ7iq5TEAZBe8zHyWduMAZA2yRVlFi5wXzcUWNDMAzW8GjIHv5zB+VsZgojIcN7DVaNX32ukGu7wSaLKJE2TnHISsGhCL58lwPSqyzpFbCk1SZY6YLEYFD9CRLIV/RM7BWFHl5BJWqYIA5RdFnkcefxaAvG5gl1sZ6cVRJxGCkHCp5GgCDek0MqLQ4oo7FtR1a6TAt2qVP6HqASZ4IpoV1HpAlYS5OKFrcKcqlUYVj7KUPwOVSzOhXm35Tdt03alBAeNzDgp1tgtzbFp2GAd3blnGnnWbAnCRDSBKvTmqArGI1A4TygJ+qoz3gXLpyCCS2pXsDuTxfQS6US/eDlk8ZVninnvuQVmubabK2wFvp2v99NNP4/zzz8eGDRtw7bXX4gtf+ALOP/98AMDevXvRNA2uv/76+Pz5+XlceumleO65545ZoFRVharqrJ0XFhbi/8cuBREXJ54DH0nSht0EUU89Emh2mh1jx20n3WtaUNaDqYVUJws8+9cwsdX3c4lI98wbCYikWlu3oMByeHaA5VY9OQvKDexSHc2n4AMMHKBW+4MeFxJi6qTJ0/G56pDbZ+mj8T5K2U3TAn3+MAtlFt0p7bDmIsDyrJ0yi2xYA4bglolJksMxMiOKLl04MlG+ZRaUSfBkCIAHZ/o0nq9PCCCXsbJDFg4jXhQ0KOLOVdU0ak2PkmMArMhVY1yE5GFFO+/adAtynsHP9WL4ZwxsJN51krVsoHjoCJBlnG2Uc3FnRhXnnUQFBbgjM6qA4RomcYu0OC6eLb+vFgAmF2UlwRr20SFZuEKv4MgB0yUZT8Z/xOuv8t9J52LtJEDI2ZllWwJIQVRxUR2U6BxVTwAVXDSSxjro34/8bMhdTJsOuVsxXmBTTOlo2ZUEc+M9UCMWFlY7C8ormejgqMss2yF0QYrxXKPs3XbcM5EIh0Ehj/loNmhiUZd316zsOB7s9t11brR4JrGCCJmFW6zgNEdOzDmpV3Z5bU0LwkQ4IwAnKc7kXFcMWb6fqWdj1hFIPoeAld5Dq8S6LlD27Nmz1ofxtsDb5Vrv2rULv/d7v4ft27fj1Vdfxec+9zn89m//Nvbu3YuyLHHgwAEURYGNGzeu+LktW7bgwIFjS6G++MUv4vOf//ybHjfDEUzIYqAhALZZ954TV2NHYBx3aDTV5924ZoBIOqm2m1kFIkoYCQUzxBbu+rzmvClO0K2a6P5phmPQ3BQT+Yy4vbYBbnHMuzL9cM44IyfKYwFJe7Wgfg7fm/ACaTqCbJjqxR01JkYjGpkAY5hUp+MQ2V3bI0vA9ABhIHk2PfGMkWgA5TGsiDxofbeDbFnWHGfeonagQcEeMaMmZoUAgFkawoprs04x7OKo8yCpG5iCW/iq1jG1hHNSLkqMHH7TVCzGTOOZlNwyAZRm+7CLY2RHhvF4Kc9Amzfy4qljJW3hH1nsFhwdOfjANgFrhNDPYK0snqSKKOIIiZKvrS6gkyO0+B4JsTguVq3KfTtzsljQhgmjRbGfV/Kn8a34hLASjiD3mO3GOfE1RJmjnj6U5SuIm1BX4pw9XKzeoz0uZlR6a4oc1KKTwWtxpdJ1jeQQEjsXaBS5NRpeqmPCFUWaYWk5AP6+RCbYoMWIi+dHCDAtpBAWJ/HWcbbaZOcoc5EXBh9gFpaAfi+ShhEgBZYEVqph5iCHaRxsZSNPSjk4brmKvkJeyMimlr9ByyojTmQGogeNEX5YANtQrBLrtkBJSDjduOWWW+L/X3rppbjyyiuxfft2fOtb38LHPvax4/4cEfEO/Bj47Gc/izvuuCN+rYooJfep2zDlGaxyEbQLIYRRNeSDjoFkjGJGTFoNG6bZJ2Q4YZ7WL2L7u908AwCwVQs3bmEXx8z9cI7HFyQflpTFuTEAdqEd1t0cXo2zMvZWoH4paoLOwdnULSfS9gom8vEFiuaAvKBkbGlPFHfVdtRwztDCkM9VTQ09fzD7aXYptoeX2PWyV0byXSQPjhpMuj9TYbnAajzsuGXCsLhv6gIUDQkHJZvKATGziq3LpfAoMgAFd4CyPHJhuN0vHB2fi9IIrA5p0BVHxsAujKAuuaE/QDToEi8jEMXREfVKYHrAxaPK0esJlQjWrpvZThWwXlROznLRllm4hXEsMGIkg3QYzFGODNDRSOgVIhnvrg+Hm9ZM9laPGrlHkFke3zle6GIStIzOyIDJ5UUm3kfoDBABIGP+hK1YNRR6Gd/HKqENRu5bKSraIJJazgxzRLAjLoKifF67SDrSUNK2GGK+EeQMd1eKXFK9S8ChG8VYi3bzNBe0Uc0mRWvLyd2chu0QpkpkbegcyaXjYhcbjr+Q68WFktjrhwAzzuNok4sTkcVvmpG/lR5gDI+DR5ycjEDRw8aMJFqlx4GFqiYyTecsDGvgBzmyo0II7ml3h8efxrwNOigJCb9sbNu2Ddu3b8crr7wCANi6dSvqusbhw4dXdFEOHjyIa6655pi/oyzLY4/G9ENpxK16g14sTrRIYAJpzvK/quadnra4ZZ4bE1Arcde06ObKIuH0A5GpErrYByOmXxXbVxvxmdBIeXIO/h0zHC+vC/HiUBQXBVAwJ8VJJ4AGzBcx41oM8xBNy5TfASCGE0JSrVlmasU2m8/JBAALyzyqEhv56POSZ6DWs2196eIsXnd5oVeIU2gbCX0hz/nYlAQYhDAhCcRxQeoXkf9gh2OEmT5CWbBnhjpxVr7j31RdSjmVBeA9B9P50CUqizGbnyrgFkOMV1A+RuSeLI1l/OOBvOxa8cI3gnRwIhelXL1U83QjGzawTqzso2PrRJ6OFKpUZAjSMbNjJm2GMu8MBzP2ryEgem0YuTbQ/0pBDECk58ytIulQaPeEZbwWGLexCKWc5cHRTC7j+42LXVGDvYHDQk6K5cwCTWDukbw8icO3xitwjpiP/jXwnIcW1TNKehe3c9e0bCY66DGRW/hhk0qbsLEHsgXcUr0y0iDPeCNUtUCPC5DQl79rvZ5lDl9ksMsV/74860JAfeduq264tmp5zKjy6tIB/QzZYs1+MAYIGoIpfDMmpBu4ZTGzG3XqndjhlA4UOQM78sCIAHTxLTgFk8FUoCQkHAeHDh3Ca6+9hm3btgEAdu7ciTzP8dRTT+Hmm28GAOzfvx8//OEPcd99953aLw/ErdpWk4Mla0WIpqHH4XJ2YcQ7lumBeIfIYtVw2zhMlbCLY/5QzBzQsBlSnFEQsePppD24fHCS7haFZ6FJwGFQTNh1s5sygNidUYklE0zdCq8DzbDSME4qMkDt+3W+LrNqyId6KBxzCYh4zDUWYzRJUg4bB0IIbLsCJASYUYhzcAOwisgZlm9XkssjIxs2s0J0oVUyKxU5u9/q9apqoMcZXvAEgyA5PzIuyFw0z1I3Ux3RmYljMcMqFmXsBMwkRifRGTH7yxmWf4q/ifJ2OCKDR2v6PqL1IOminMIm9LTDVC1M1nZOv8rREXm2dv4od/C9DDazMOM88nIAkfFqt0V8Yny/ROaF1AlEsjcmeCr26JA9O0JAMOpTAqDofFJCZpmwOm5lvGDi+x5mJCKAOPXYOMP3kTr8Cq/ELo6jiy+c5S5EkUfJssqONYJh0kwQwaz42wIQQzqpX3bdUZWKBwhXxiNblAR2zxyvWKBMqLx4E1FHgjpp+rnGKCiJVYpoO67l3vKgpoH9X6Cd3xR9VEAEN2zglmtWqwHIF1hFZY8sryh0OF+JVVNmXAEzg+gCbCopRCfiJfzcVJQYQzo+lAqUhIQ3Y2lpCT/+8Y/j16+++ipeeOEFbNq0CZs2bcKePXvwu7/7u9i2bRt+8pOf4M///M+xefNmfPSjHwUAzM3N4bbbbsOdd96J8847D5s2bcJdd92Fyy67LKp6Vo3McUEykVZNag9vWP1hF4bd43XD3hfi8qgfliBOuYW1TLAU5Qj1xZdDFaGTQWyS/2OUyCZdGBuNzKQ1X3OGSkx4LdiYjGPVeZfI8lswp6XMmYshPBSECalhVTOHxocoB9YY+djZ0LGLkCqNtOP1OJXAajwh9LNOLdKzMTPF6A46iD8GodvJimKEr790J1QOqW6cZQE/UyKrZOfsCcgNCI5ziTTh2Rg+hsA/55aryBtiY67QLU5NCzvkHa5KmaOiQfkBSiadnYp5RtTLo7wYznJx0rYwczNAtXZOsqYNQM4KI80esoYXSOVEMC/KRd6MGt+Zqo5ZY9E3JnMgOLanB9htmAi2ZvO6FVlRqvrRYscL/yMmb9ewQsyOj0EK4uD5niHJUhs2ndss2AHVtqpu68HUGROyY1aaWAI0NezRSjxCOgUSDcpO/qyBidN92KUR/41mGScolwWrwWQcCrnvSMer0tWhCdfXzk6fNxp2WPFridNwJN7ODpjgqzlbQXhLmuckBHpD4JGnNWxKp+9F47nLOdWLRGjKHXNNhE6T//x/AWvh56aip1DsQmViIjdqI7eHYABvYKxwwPzq3U1SgZLwtsEPfvADvO9974tfKzfk1ltvxUMPPYQXX3wRX/3qV3HkyBFs27YN73vf+/DYY49hZmYm/szf/u3fIssy3HzzzdGo7eGHH4Y7hQAsALzYGJGgWiuOlEJW8x7Gs0U8zQx4lKA21YDkoLguol28P1iKyb+LnIGtA/NIxtwOdkdHXThmCFFOC0OxTRxKWXQlqwa5i21yKnnWnh0ZASMmqYZeDjiAKI/GTYY4DdZ6zshB3QDOdcRHlYGaiZBBTBQoCg37EyUGZVZypthkjUophpwFQtMRG9VeW3gAvpfBluKsOZIRl6og2ho0y90puzSG3ziF0FM5KF+/aAjmfTTtssMaTiXcvSwa50X32cZ03J2qlvfEIcwMYIs8+lNo8raerxmOJY0afPyt5+wSW8AMeqywyDPQobUrUDr1SoidCiPFKhe5orJRU8G67RyGAVaj9cqOUyPX1FRMYjXSXaFeydc8sLoNSoYVPgOk0FVjOACigNPxXtaNFYjYn6S1HX9FHJI7Iie7rapXiGmEMNoTk8HKM4lW856GiGnZyAo+dikGIJ1OI5wTUj5R23ZxFDL+MmoKlzPfhaYLvk+1M6nHJyo73gzIfSidOBTs/hxKJqhGJ+fMcTd2IulZgxzVnRdAR2JWzooq44S/otfHDWtxDlbSK493CDYquNxCxRsA7aS0OmqVEMh29R2UdWnU9uCDD2LHjh3o9XrYuXMnvvOd76z1Ia07PPvss7jxxhsxPz8PYwy+8Y1vrPg+EWHPnj2Yn59Hv9/Hddddh5deemnFc6qqwqc//Wls3rwZU1NT+PCHP4yf/exnZ/AsTg3XXXcdiOhN/x5++GH0+308+eSTOHjwIOq6xk9/+lM8/PDDTGidQK/Xw9/93d/h0KFDGA6H+OY3v/mm56wGtLzMhUhRAL1S1CkeVNUgyYih2Sn+YBZmPfXLOAc33sfdFw16wqPwXQdG0pDDgL0i3CJLc6lfRJZ/KLLocqkfYm7YwI4alvp6zfGQAuINdtowhgl9TYjqCFWZuOWa8zoALk6mO+IjHye6XZfsQkOPPUhIVD/caQhdm18NsdTJU9rrMX9FODqTRla2bmEbLiTamZLHJJlFmC4Q5gadwRvA1ufiEUODMnqlhIEYyumuV3N3xk10gdUFFLXIL/OM/19HR54XltBnIzdVVphRBTOW90aIpXwwkmZe1917K10XVW2sFYLwa+ywideCtKBT4q8YrKl6hhdFuXe0EwdMdNjkexYxEBCiGpvshOh7aqqJuAYfuqImd3yP69ip7TpZyqWaHJso50hVKQC6pG+R3OrXthbORiZREOIwHPo52tmecF98V5jI8Ub1VZ7BSIikjglj9IKz8fU15kDHpppGbMe1RE5M+Ig4lgxzJpc4+A67+yn0MuGYiImbRggYIBQWIbdiJ8AFDBkheBv1X4GQaUnGVECY6cVIAjWwQ/zbp8iXUx8Y9Wkhw0TlU8niWXcFymOPPYbdu3fj7rvvxvPPP4/3vve92LVrF/bt27fWh7aucDJX1fvuuw/3338/HnjgAXz/+9/H1q1b8cEPfjAGNQKnz1X17QhTlpJ67aIbJgLB9Er+EKsbmIVlmOUxK1b68thYHCjFKVZTU8M0FylmOO5Id0QyM/cwS0OEmalYnFCRRfInf5ioxLdbUElY+gB/QNlhzUoUH9hKX3KA2jlOODaeJc0Auo5ML+uKIuJFgHo5H9NY1Ar6QSbzfd51N7EDwt0W3eH6GA5n65a5HiJhpiLrZKRlwTv8pUoIsiF2VoznQDrTcFs8qMV6j6XH7MwZ4gerUZKsp8gRCX0mMFOmQY3sNqvkWCodFzmlkANDAOoG2RF22eWk2rzjWQD8nupYaCQp53nOO/A+F7E0GrEJ32zX1TvjyKQzpMWX5hppFk2v6IoTLUKdjWnnoZ/H3T3UyE94RdEtFuD7VwuKMBF4CXRdnMZ3fCnDIXwxf0oVRL6TGcfCQfk/yhORjgf18hXjJz2OGKqpRZD+sxNLqNw3sSOmI0JxTgYgEQwTvBVM3Ls6Wh1WsUhT1+VuRIuuGJi4NtwNnFj8ZTQTygy+5FGOEsWZ2BxgWuKCJXcIokLS7ooSgWH5NWNkQdm9P5EULS7J3f3hYrdLi1YlznLExOol8utuxHP//ffjtttuwx/90R8BAL785S/jySefxEMPPYQvfvGLa3x06wcnclUlInz5y1/G3XffHeW1jzzyCLZs2YKvf/3r+NSnPnVaXVXfTtCdb2sDzHiZuyXew8xOAw68MA4rLlYGJajlVjfP3CugFdKe9wj9zlMEFGDrITCuxNDLIGQG1I5BzRgoDULh4yIYP9CLDEQtzNIYvmrYRGvcsPdIqGAPDJnGIlbzhs0NQOKAG0qHKrMolmuQDwjWAxBvi0DAsgQiVvxB1s72QNMWbrGFyQNMPQY1Bj6zCC3FFja8B03nINvAG4J18gFchdgyRgDM/38QsJtZJTNkMzuzGBCcgzcAWg8fDFzVIIyBpmdgRqI8kkA2siIr9hza1/SnkIUaqA3a2QLZkYrl4EXOgYajGlSDP3jHkhdjDdqSmIuxVEXZp2kDwjKb89HMFFC3QJDFs664yMktd6maEbCwDBOlqsPOn6IVMnM9BI56tNXiivvpjKIlVniIwgoB7NXhPQCHMC27a+/jQsnEbYpurloARi8RLRQyi+ByVqLULYydUHgZI7/DRSIpiEnhuliG0sEtN5GkbdoACoFJ2CHEkU/M35H6woQAgoWfKpApL0Q6G2QtjAnd2DN7wwJdebiKOyzcRfATzssTPi46/oF0nKo2SpTZA0gX88BdMvX44RfrjNvEgTnIyFL5TOrNQv1CeCscDkrSBTU+MD8k8N+/W6p5w6CZUS11r08myuzJGem8cDckk9BKKnMm67cBhli1syJBWouw1sA4Obeq7nxZVoF1VaDUdY29e/fiM5/5zIrHr7/+ejz33HNrdFTnHl599VUcOHBghWNqWZa49tpr8dxzz+FTn/rUW3JVTUDsQD3z+ldXfuPQaXyRY3vGnbs4fJp/3yun+fcpfgnvy+LiIubm5k7/Lz4BTAgI0znbobcB1neOxxyXIP49VvxyiiwmUTMJUwtEGd+oLbzyRTx1cvUM4pcSpPMmHZl+DmqFByE/x4t1t8jGUQ6EYwEeYWh8gkqUO1c+5is5lQxPjClAvPDacQsoj0n50tLpoCIHyoLVLU0LMoUkIpcIbhCP1Ywa2OE4jlsAGetod2aqBwwllblXdinmqibzATSbRyUdtLsmRnBejjNIQWU9d0N8P0c7LZ1OMKHcBX5+KB1CKZwhZ/kaWSbSsu09RamxerZMFkUxLNQamIb4AS3+iEBeujB5Bj99jpJkX3/9dXjvsWXLlhWPn8jJM+HUodfyWNf5pz/9aXzOqbqqJnAR9/LLL+OSSy7Ba6+9tq7TodcD1BjvXLvWRITFxUXMz8+f8dc2wmkCURdAKd0CM6qiXX/8HsB8ElgZb+Vd906t8dvAMvJ+DjusojkdiQmcHbfRfwYiaQ69LC6a5Az8TBmD6vyUxC9Y5TlBiOihI+5q90LGNQiEfLHmbtxSxc0P9RbSrokzMC2itBeZBfWyaITGnZAMaFoOEtRrVIpzqycUhxaB4QiYmYqePOprQtYwz6tfQK3vTSNGiED0MeGcoKzrqoybyP2xbYhkXh0BEyE6T5MzCMYhW64QemyA6MaEUApPxdloFmcD4KdyUGZghx52aQQUOdq5HkLpYGvONlJDQsosy70Xxt34NLNcLIlztBkPV32vrasCRfFG184TOXkmvHW8leuc3osTw1qLCy64AAAwOzt7Ti2aZzPOxWt9pjsnEVUN9HJWiuQZQl6y/nTAHh/KuWHvHRO7FZQ7LgocOt6RLIiuqbrRY9aNVli2KgWA57RiJda6xSp2FzgYsoAZNyxTBtgkTr1KGlm0x7Lgl0wejUorlbID8P2MXVDrJu76qRSFkuWCxC6MIhk3ZBbGBtijFdAv4Oc4BFSJsAB3WbIjwvkqcx71ZC52RADAEsFPlwi5QzZqOjPGjHOhQsnKH1gOnTQNuxpPdopQN6CZEs10jmyoXRkLMha2CXAIyBaryBkJuQMMYEctsnELP8jZqLGXsQdKJr4xnvkoYboPWzXRGiDkFibjEZIdtWxx71iRGMoiSsFdPUGKXlha9a22rkiymzdvhnPuTTv0gwcPvmm3n/DWoWm+J7rOk66qx3tOQkLC6cHJVHef/OQnYUTmqv/e8573rHjOaVPdlQUrrmYHHNEg7sSTkt3YldBkYtt1INTWnwuSwDv+MufiY2KsYkKAHbdww7rzBxmxcojMhMOs8lwazyTlEJAdGcItVkwEr1vYcS3OqRS9dUw0MFTDPwu7VKM4xJEE1Ge/EiXcUsEGcdHlWUzObN1y18OaLlerzEQlp2ZsIRLX1eeHMrHI10yqIIXC64tcnOjoTLon7sgwcs7CVCmyaekoZQ5hukSY7TMhtZUYAinOIslVyeZCzjYSXEm5yLVFqQNjQNN96QyREMcRVUFMsA8IBXNcbO25cKlqOT9RwZWdHUJ0vD0FS4Z1VaAURYGdO3fiqaeeWvH4U089dVyr8YRTx44dO7B169YV17muazzzzDPxOk+6qirUVTW9FwkJpxcnU90BwIc+9CHs378//nviiSdWfP90qe5CITk8GTvAkrVR6aFOx6HMZPTDP2OXK+aINKy4MeOGC4eKJe3qNKoLoCphYrFSt53HDBCt80mSeWN4Zt1GDoxyXiJvo8h4jKIFVC+DH+R8rMbAjlm6zAtr3qmrZCRkl8adbDiGVvLrmWHFCq9xxd2ToZ4r52VF7ga4kNOoAz9VsgNy5mKYJkdBcGq1GY6ZoC1pz7HIiRLr7jqZNkhRZDlzq/EwBNgmwFaeC5faM69ECyzLRPd2uohjrjDIETKLelMfzazwUzKWQZPjnB3KHbLFCq4SlZSO48qiszoQo0i+1rlEE/D/rxbrbsRzxx134BOf+ASuvPJKXH311fjKV76Cffv24fbbb1/rQ1tXOJGr6kUXXYTdu3fj3nvvxcUXX4yLL74Y9957LwaDAT7+8Y8DOM2uqm8zlGWJe+6559gZPQmnFefKtT6R6k5RlmXsfr4Rp1N1ZzTcUNr+yr9QzxE7ajqjOzAvQXfP6muj3JIoua1Ybh5MxqTLPOOuQ8VmhlqYMLfCc6SDpUiu5f+qtHhC2aQEUyLmvwgpl7khEyRaw6ouGMN8iULt4ydkwxMGdEbUPBSbOKbrdmhKcu6ixT4azqwh4o4E9QuR9kr3whVd9yiXoMmyiMGXnOLMYyE7rEGZ8Gz0dYGoTrI1FybK1VEPFza1yzqjRy/XwEA6J9SNbkqLUFguQFoCnIEvmWTsqgDUHIOhUuWQW65FxQOGEGKHibIsmi1GafQqse4KlFtuuQWHDh3CX/7lX2L//v249NJL8cQTT2D79u1rfWjrCidyVX344Yfxp3/6pxiNRvjjP/5jHD58GFdddRX+/d///Zfiqvp2Q1mW2LNnz1ofxtsCb6dr/fTTT+P888/Hhg0bcO211+ILX/gCzj//fAB4S6q7qqpQVVX8emGB5dJcZARRb0wYdHnmV5hRzcnSAC/iIqPVmATtFPAvE44GkfAkvOQzZZJWPBF/4EyXQaQKGPOGIqPHwZD8AAdPRvnusALNDaJc2BA4IkHGO4CQYQ3/rvibxQUY4ozLx4LuuGScpS7JMZ04d10BIwUAu8x6NmUz3N0AEXNB5LWM9dzd6U1Hvs0Kl+WWyblsJaAvwP/xAyYOQzxfghUpd+sBsBJIr49pA0zIZATE70EoM9hhw8nnmeHixIos2hOo4G4ZWQP0MrHSn7hpnAHEGDFKxzVyQ31p1NNlFTC0lpaECQkJCQmnBGMMHn/8cdx0003xscceewzT09PYvn07Xn31VXzuc59D27bYu3cvyrLE17/+dfzhH/7hioIDYIuGHTt24B//8R/f9Dp79uzB5z//+Tc9/v533Yks60WJbHQHtgZ+rs8jD40mcNxFIGfZBEwcjtUjYzLDJSpjgI7A2kpysOFxkZoJ6ihmMpCPLI8hnHQY4nhHlDCwFn7TdDe6UZt5Y6KLK6zl4iRQZz5m0ZFpJWhSj0W5MGQQwwqj4keLDinezLhBmOXr025kIq8qfVTBA2PglmsZo1hYNaEL4C6IdHPCbJ/JudIJUilwvbFAcaRh80AwF8bWHnaZR1B+0xQrsACgbhCm+zymk/PzgwzFoRGHdM704Ps5fGnhmgC3UMNPF1Hqrb40ABeBtvaSBcbhmNGob+I6Gk9ofYVv/+j/4OjRoyclrq+7DkpCQkJCwkrccsst8f8vvfRSXHnlldi+fTu+9a1vRbPFY+FEqrvPfvazsbMKdJJtlhCbmD2EmscwHHLphWvQjRfMsIlET3UDRtOylb+zXbCfSJW18Ag5q3AgC/Tkzlvt3tUplpwRdYnk64g9ezRckwwjU3nA8mvEDBxjYCQ7iQo2zeNYghx+mkcxLKcNcNrNkNEWOSG5BvEw0S6LRi/wVe4cVSeKERNoRY6Qrb1EKTSwxsAsh67z5MA+LMsVyFr4XtZlWAWCrVrYURPt6v10wZ0RKQr12pMx8FOc6eUazgVCIBgwp8iN5RjqBnbE9ve2NTC1eNhUTAj2U1yoxOBGdd81rnO6teJpE83mWE7ty3OYg5KQkJCQcGJs27YN27dvxyuvsOvcpOpu0rvo4MGDxyW1l2V5bO6OtPsB3xmECe/CLg45miHyDyxounwTL8S0suv3AVQ3LOxRu3VPQNXAUtZ9PTkWEMfS6Iac2y6cr/EIsxKMGZ9vEfqDSCSlImPCq45+8oxDL62BOzwUR1zAZBZ21MKIBT0kudrWDefRFBkTUWt2Sw69jH/H4riz2hdyLBUZIJlXIIITdZGf4pBB7XiwXX0DK9EAKHLAI4b7hT57i7BTb4j2+AjcQcqWOXahPq8PFwAgxGBCeB7HtNMFj5fGTTdyU4+SxseiLfSEr+KEG6OdIY2caAKQa3aU3BrynvteBld5wBIoFz5SCKA8R8hWP7RZVyqehISEhIST49ChQ3jttdewbds2AKdXded7EqAoHYNIkm1a0HSfiwfNyWl85FD4Qc67d6sBdyXCoCdW/tzV8NNlJJeyUylLW/1MKSMgHsnYUcOZNS3bt/vZksc6EjCpsmUvwXbRdl04EeQcO79KGrEhMPm0z2TVsGEK5BzsuGHJ8qEl5mYMK1bmtAFOQzVHHKwZCapaTOk1kHFXO1PCl5wgbCpWMbmFisc8ATGXiPKMFTytJH+XOfyM+L9UPEqzdcseMaVDO+BOD8TO31QeTjxQoPxZUeFotpYbScBmZkEFE2JB8ryZXnT5DZkECmqhItJhyh0buEXujMiHQ4BdHCM/tMxFYLS752I2lFz0rBapQElIOINISdy/ON6OSdxLS0t44YUX8MILLwDoVHf79u3D0tIS7rrrLnzve9/DT37yEzz99NO48cYbsXnzZnz0ox8FsFJ19+1vfxvPP/88/uAP/uAtq+4mHWDhpVPSL7rHogyWeAFfGiI/cJSdXok6h1nIwmYN7NFhVKKEnliyy+jCDWteBMssjmaoX3BRMG44sVrkwZqwDAnB1CIKQAwXBNCZvGkwn/Jm+kUMFuRCRkzVQkCYLtFs3RCDNKnIWBLceGRLLG+moluEaUKx5CqP4n9H7L/iSWS5rrPTB5N8UeQI0wM+diMZOKpkyqwQUzn8zwoxlzLDxYdwYuJ4S+MIxi277nrp3gRCu7GPemMJL1wXt1jBDZt47RC4wLFNgB1LKKMPXTgjJBG5zx2oMMg55bhpuVjVQMXMgkouahEI2dF61fdZKlASEs4QUhL36cHbMYn7Bz/4Aa644gpcccUVAFh1d8UVV+Av/uIv4JzDiy++iI985CN45zvfiVtvvRXvfOc78b3vfe9NqrubbroJN998M37zN38Tg8EA3/zmN09ZdeeGdbdIaeKtMZ3aZCJ9l3LHktqZKVDmWDZMUrRIWjUc81moLLi74NnALULzecQ7RFOHY2pxABu4NR5+prei+wJIkSTvaxgU4mvSdKnFPsQRkh116dIAYuhg0IRmNTfTQ3MGoczZxbbxUWrN4XwiRRbOjl4PI8nWXEDw70SmoxTHx6jBhlaEThNTEeNDJOLauoUbcaHC0uMczYYeYLh4aGZytNMFk117mXBnbOTthMx0YYBCljWV+MaICinkNqp39JzYiG7C2E2Py4pJ23RfvGTA5yFjITtm07zVIql4EhLOEK666iq8+93vxkMPPRQf+7Vf+zXcdNNNKYn7LeKNihYiwvz8PHbv3o0/+7M/A8Ddki1btuBLX/pSTOJ+xzvega997WuRXPo///M/uPDCC/HEE0+koMvjYGFhAXNzc3j/u+6EnZ4GgBUZLKqIMcOKnU17RcdbkGA+M2pE0aLdhrzzH+nnskv3K9Q5K5Q6khBNmRJhfczLiYVFG2Cqmk3Dsok9uCTwmqrhVG9rO/LuxDLYbhhE0znTMhFUE6cp53GQ5v9MHp9dHEcnW1UvRd8PGfeEMuNx0nLF5yxZNXoMMStIUseRZwhTJfuMqDxYeCNkIJlF3Sn6fsZdj1p4JAUXI4YIvpTxTqVJxjnquRwg9jaxPnAStHTA2o19tD3u8LgqIFtuOH+n8mgHOUJukI19V6CI4spUvpNkC0lWz4usRWsa/N//70urUvGkDkpCwhmAJnFP+lAAKYn7dONkSdzAyT1BEk4M7SRM+lzwDpz5HFGVMzm6UAM0XYu1MJhYvJj42Y0PItQuH4jqGF10J7N0AHAHw4L5G03bkVSl28KLupNjzCIxV8cmAHgs4ieUNxOrJAnPIxYTk5YeYlan5xG/1wYu3jT/RkdDk54pEwWSaTwXTsbELg9Zg0l5tHq3sJS7O0AygBtrIcMOsrYRm3pR7CB0198EVgGplFu5KlTmCE6KsQDmpzgbfVfY70VGTxkrriizwpHBShm5nl/LX6ukeTVIKp6EhDOAlMR9ZpCSuM8AxIlV+ScAjyF86TgVt5fFwEBdeO04dMWJ5Lso9wRA51nyRqdR7ZI0LcuFZRqlqchkLWzbdiMTZybs71lWS+I0a8BeLJyuOzGSCYGVPmXeSWmHdSxs2B0VUS6rx2naADgCWeF+5Fn0hDFNC6OFWuBxjxYTVlQ/yMV/RMdIueNL1Eoh94bRm+9lHPSnLrhRxSxkWK2vag8vChyWZ3Noo/UEV4WOayPKHdtSlCSHTCIDZMRmm07KrJwUlV0DiO6yXOQwORqNvIadKEithXFyLwxXevGc8FZb9TMTEhJ+YaQk7jODlMT9S4S07qP0VOzcjXQhjBf30Ikdv61b3oFrDovlwLzQK3ghAzoL+lzzfawYfQVe/CVdmJyRIoAD6lA3MkJpY3FDg3Ill0S6GHbUcOZP4eIoSD1M/FSOMF1EW/7ID1H5rTFwCxWfXyxEhFxrDdqNA/Y4KfLu+3Ubi5PQ5w6TXRgx4bafd6nOlrkgQQP2GjY7o34eiyRfdkqa0BdFzoS1P3czWOLLfiMO7VQmRVELN/KwwgNxQx7l2FaUUoWDl9/Z9hyPsgIxv6XmrofvZ/Al81r4BYF2YOF7ooKqfPSzIdvJn1WKrh02U6+eg5I6KAkJZwApifvMYDKJWyW2wPGTuFfrCZLABRwAtKFGcBkrOhofHVXNeAgvXBPKLKhgcqjJCIYCmtLB1gGuqXhhlnRhEl8TkBQGbdvxLEoDFGIm5ggUathxi+AANCMuXozhcU0OmHYcDclswzyTkGVsyW8JyMEzi2EFIg/0LCgDyHl41HB1A+tbVubULdCi6wQEwDStvJaDsTLO8B5YHvPxalepZwDyoFx+rq4Bz92Pljyo9iDXAq0QeK1FaGVc4wDnPMzysiiQLKi1QGXgpXhqvIGVNOFQdhEA3nvAtwjOwpOFHXNh5uoWFCo0mYNrGrRzJYJjtQ0AUGbghTybLXu0npVB3qmjLn+/tQ62Ihi0oNaAFhvuhi23COMWwQAwABWmI9BOeKyYxqN1YcX9dCKkAiUh4QxgMolbpZ8AJ3F/5CMfWcMjO7cwmcStihdN4v7Sl74EYKUnyM033wyg8wS577771uzYz3aoCurZl768tgeScE5gcXERc3NzJ3xOKlASEs4QUhL36UFK4l4bzM/P4+WXX8Yll1yC11577aQKjPUKtfRP5/jLARFhcXER8/PzJ31uKlASEs4QUhL36UFK4l4bWGtxwQUXAABmZ2fP2cVbkc7xl4eTdU4UyQclISEhIWFVUC+U1XhYrFekczx7kFQ8CQkJCQkJCWcdUoGSkJCQkLAqlGWJe+6559gpx+cI0jmePUgjnoSEhISEhISzDqmDkpCQkJCQkHDWIRUoCQkJCQkJCWcdUoGSkJCQkJCQcNYhFSgJCQkJCQkJZx1SgZKQkJCQcFI8+OCD2LFjB3q9Hnbu3InvfOc7a31Ibxl79uyBMWbFP81xAtjtdM+ePZifn0e/38d1112Hl156aQ2P+OR49tlnceONN2J+fh7GGHzjG99Y8f3VnFNVVfj0pz+NzZs3Y2pqCh/+8Ifxs5/97AyexUqkAiUhISEh4YR47LHHsHv3btx99914/vnn8d73vhe7du3Cvn371vrQ3jJ+/dd/Hfv374//Xnzxxfi9++67D/fffz8eeOABfP/738fWrVvxwQ9+MOYRnY1YXl7G5ZdfjgceeOCY31/NOe3evRuPP/44Hn30UXz3u9/F0tISbrjhBg4hXAtQQkJCQkLCCfAbv/EbdPvtt6947F3vehd95jOfWaMj+sVwzz330OWXX37M74UQaOvWrfTXf/3X8bHxeExzc3P0D//wD2foCH8xAKDHH388fr2aczpy5AjleU6PPvpofM7Pf/5zstbSv/3bv52xY59E6qAkJCQkJBwXdV1j7969uP7661c8fv311+O5555bo6P6xfHKK69gfn4eO3bswO///u/jv//7vwFw+OSBAwdWnG9Zlrj22mvX7fmu5pz27t2LpmlWPGd+fh6XXnrpmp13KlASEhISEo6L119/Hd57bNmyZcXjW7ZswYEDB9boqH4xXHXVVfjqV7+KJ598Ev/0T/+EAwcO4JprrsGhQ4fiOZ1L57uaczpw4ACKosDGjRuP+5wzjZRmnJCQkJBwUhhjVnxNRG96bL1g165d8f8vu+wyXH311fjVX/1VPPLII3jPe94D4Nw6X8VbOae1PO/UQUlISEhIOC42b94M59ybdtEHDx580458vWJqagqXXXYZXnnllajmOZfOdzXntHXrVtR1jcOHDx/3OWcaqUBJSEhISDguiqLAzp078dRTT614/KmnnsI111yzRkd1elFVFX70ox9h27Zt2LFjB7Zu3brifOu6xjPPPLNuz3c157Rz507keb7iOfv378cPf/jDNTvvNOJJSEhISDgh7rjjDnziE5/AlVdeiauvvhpf+cpXsG/fPtx+++1rfWhvCXfddRduvPFGXHTRRTh48CD+6q/+CgsLC7j11lthjMHu3btx77334uKLL8bFF1+Me++9F4PBAB//+MfX+tCPi6WlJfz4xz+OX7/66qt44YUXsGnTJlx00UUnPae5uTncdtttuPPOO3Heeedh06ZNuOuuu3DZZZfhAx/4wNqc1JpohxISEhIS1hX+/u//nrZv305FUdC73/1ueuaZZ9b6kN4ybrnlFtq2bRvleU7z8/P0sY99jF566aX4/RAC3XPPPbR161Yqy5J+67d+i1588cU1POKT4z//8z8JwJv+3XrrrUS0unMajUb0J3/yJ7Rp0ybq9/t0ww030L59+9bgbBiGiGhtSqOEhISEhISEhGMjcVASEhISEhISzjqkAiUhISEhISHhrEMqUBISEhISEhLOOqQCJSEhISEhIeGsQypQEhISEhISEs46pAIlISEhISEh4axDKlASEhISEhISzjqkAiUhISEhISHhrEMqUBISEhISEhLOOqQCJSEhISEhIeGsQypQEhISEhISEs46pAIlISEhISEh4azD/wNb1aV+YlMohAAAAABJRU5ErkJggg==", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using Fourier (LPRec)\")\n", + "\n", + "from httomolibgpu.recon.algorithm import LPRec\n", + "\n", + "angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0])\n", + "\n", + "reconLPRec = LPRec(phase_contrast_data, angles=angles, center=cor)\n", + "\n", + "reconLPRec_np = reconLPRec.get()\n", + "\n", + "sliceSel = 64\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(reconLPRec_np[sliceSel, :, :])\n", + "plt.title(\"Recon coronal view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(reconLPRec_np[:, sliceSel, :])\n", + "plt.title(\"Axial view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(reconLPRec_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/_sources/examples/pipeline2_iterative.ipynb b/_sources/examples/pipeline2_iterative.ipynb new file mode 100644 index 00000000..8ca6a985 --- /dev/null +++ b/_sources/examples/pipeline2_iterative.ipynb @@ -0,0 +1,191 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 2 (Iterative Rec)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### This example shows how to use methods from the HTTomolibgpu library to do the following:\n", + "\n", + "* normalise the data \n", + "* calculate the centre of rotation using phase-cross correlation method\n", + "* reconstruct using the iterative algorithm" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The shape of the data is (180, 128, 160) as (projections, detector Y, detector X)\n", + "Normalising the data\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "from httomolibgpu.prep.normalize import normalize\n", + "\n", + "# Load the projection data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(path_lib, \"..\", \"tests/test_data/\", \"tomo_standard.npz\")\n", + ")\n", + "datafile = np.load(in_file)\n", + "host_data = datafile[\"data\"]\n", + "host_flats = datafile[\"flats\"]\n", + "host_darks = datafile[\"darks\"]\n", + "\n", + "print(\n", + " \"The shape of the data is {} as (projections, detector Y, detector X)\".format(\n", + " np.shape(host_data)\n", + " )\n", + ")\n", + "\n", + "print(\"Normalising the data\")\n", + "data = cp.asarray(host_data)\n", + "flats = cp.asarray(host_flats)\n", + "darks = cp.asarray(host_darks)\n", + "data_normalised = normalize(data, flats, darks, cutoff=10, minus_log=True)\n", + "\n", + "sliceSel = 64\n", + "data_normalised_np = data_normalised.get()\n", + "\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(data_normalised_np[sliceSel, :, :])\n", + "plt.title(\"Projection view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(data_normalised_np[:, sliceSel, :])\n", + "plt.title(\"Sinogram view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(data_normalised_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finding the Center of Rotation for the reconstruction\n", + " Platform does not have any supported GPU!\n", + " Platform verification failed\n", + " platform is not supported by cufile\n", + " cuFile initialization failed\n", + "The found Center of Rotation is 79.5\n" + ] + } + ], + "source": [ + "from httomolibgpu.recon.rotation import find_center_pc\n", + "\n", + "print(\"Finding the Center of Rotation for the reconstruction\")\n", + "cor = find_center_pc(proj1=data_normalised[0, :, :], proj2=data_normalised[179, :, :])\n", + "print(\"The found Center of Rotation is {}\".format(cor))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using CGLS\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using CGLS\")\n", + "\n", + "from httomolibgpu.recon.algorithm import CGLS\n", + "\n", + "angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0])\n", + "\n", + "reconCGLS = CGLS(data_normalised, angles=angles, center=cor, iterations=20)\n", + "\n", + "reconCGLS_np = reconCGLS.get()\n", + "\n", + "sliceSel = 64\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(reconCGLS_np[sliceSel, :, :])\n", + "plt.title(\"Recon coronal view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(reconCGLS_np[:, sliceSel, :])\n", + "plt.title(\"Axial view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(reconCGLS_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/_sources/index.rst b/_sources/index.rst new file mode 100644 index 00000000..07d92373 --- /dev/null +++ b/_sources/index.rst @@ -0,0 +1,32 @@ +.. include:: ../../README.rst + +.. _intro_content: + +.. toctree:: + :caption: Introduction + :maxdepth: 2 + :glob: + + introduction/about + +.. _jn_examples: + +.. _reference_content: + +.. toctree:: + :caption: Reference guides + :maxdepth: 2 + + reference/methods + reference/api + bibliography/biblio + +.. toctree:: + :caption: Examples + :titlesonly: + :hidden: + + examples/pipeline1_FBP + examples/pipeline2_iterative + examples/Cor_largesino + examples/DistortionCorr \ No newline at end of file diff --git a/_sources/introduction/about.rst b/_sources/introduction/about.rst new file mode 100644 index 00000000..81e636b2 --- /dev/null +++ b/_sources/introduction/about.rst @@ -0,0 +1,4 @@ +HTTomolibGPU +************ + +.. include:: ../../../README.rst diff --git a/_sources/reference/api.rst b/_sources/reference/api.rst new file mode 100644 index 00000000..bf613d89 --- /dev/null +++ b/_sources/reference/api.rst @@ -0,0 +1,25 @@ +.. _reference_api: + +========================== +API reference +========================== + +This section contains the API reference and usage information for HttomolibGPU. + +HTTomolibGPU Modules +--------------------- +v.2.1 +''''' + +.. toctree:: + :glob: + + ../api/httomolibgpu.misc.corr + ../api/httomolibgpu.misc.morph + ../api/httomolibgpu.misc.rescale + ../api/httomolibgpu.prep.alignment + ../api/httomolibgpu.prep.normalize + ../api/httomolibgpu.prep.phase + ../api/httomolibgpu.prep.stripe + ../api/httomolibgpu.recon.algorithm + ../api/httomolibgpu.recon.rotation \ No newline at end of file diff --git a/_sources/reference/methods.rst b/_sources/reference/methods.rst new file mode 100644 index 00000000..f9187a1d --- /dev/null +++ b/_sources/reference/methods.rst @@ -0,0 +1,20 @@ +.. _reference_methods: + +Methods Description +------------------- + +Here we present a list of methods that exist in the HTTomolibGPU library with more detailed information in places compared to :ref:`reference_api`. + +.. _data_correction_module: + +Data correction module +^^^^^^^^^^^^^^^^^^^^^^ + +.. toctree:: + :glob: + + methods_list/median_filter + methods_list/outlier_removal + + + diff --git a/_sources/reference/methods_list/median_filter.rst b/_sources/reference/methods_list/median_filter.rst new file mode 100644 index 00000000..757d7f8c --- /dev/null +++ b/_sources/reference/methods_list/median_filter.rst @@ -0,0 +1,67 @@ +.. _method_median_filter: + +Median filter +^^^^^^^^^^^^^ + +**Description** + +Median filter is a part of the module :doc:`../../api/httomolibgpu.misc.corr` for data correction. Median filter is a non-linear noise removing technique with +edge-preserving properties, see more on it `here <https://en.wikipedia.org/wiki/Median_filter>`_. Mathematically, one can express the median filter as: + +.. math:: + + f \in \mathrm{R}^{N}: \textit{input} + + g \in \mathrm{R}^{N}: \textit{output} + + g_{i} = \textit{median}(f_{j}), \textrm{where} \ j \in \mathrm{N}_{i} + + +Where :math:`\mathrm{N}_{i}` is the symmetric neighbourhood (e.g. 3 x 3) of the pixel :math:`j`. + + +**Where and how to use it:** + +Median filter can be used in post-processing, e.g., after the reconstruction to remove the noise and prepare the image for further analysis. Applying edge-preserving noise correction +can simplify segmentation. + +**What are the adjustable parameters:** + +* :code:`kernel_size` defines the neighborhood size, see :math:`\mathrm{N}_{i}` in the equations above. For instance, for 2D image :code:`kernel_size = 3` defines the neighborhood of 3 by 3 pixels (one needs to use only odd numbers). Increasing :code:`kernel_size` results in more smoothing applied, it is recommended to use the higher values when the level of noise is high. As a rule of thumb, keeping :code:`kernel_size` within 3-5 range is a good trade-off to avoid destroying important data features. + +**Practical example:** + +In this example we demonstrate how to apply median filter to projection data to demonstrate its noise removing properties. + +.. warning:: It is not recommended to apply median filter to projection data as any modification of the data itself can result in further problems, e.g., the loss of the resolution and the presence of artifacts in the reconstruction step. + +.. list-table:: + + + * - .. figure:: ../../_static/auto_images_methods/normalisation_sino.png + + Input (sinogram view) + + - .. figure:: ../../_static/auto_images_methods/normalisation_proj.png + + Input (projection view) + + * - .. figure:: ../../_static/auto_images_methods/median_filter_sino.png + + After applying median filter (sinogram) + + - .. figure:: ../../_static/auto_images_methods/median_filter_proj.png + + After applying median filter (projection) + + * - .. figure:: ../../_static/auto_images_methods/median_filter_res_sino.png + + Sinogram view of absolute residual between input and output + + - .. figure:: ../../_static/auto_images_methods/median_filter_res_proj.png + + Projection view of absolute residual between input and output + + + + diff --git a/_sources/reference/methods_list/outlier_removal.rst b/_sources/reference/methods_list/outlier_removal.rst new file mode 100644 index 00000000..972941e9 --- /dev/null +++ b/_sources/reference/methods_list/outlier_removal.rst @@ -0,0 +1,71 @@ +.. _method_outlier_removal: + +Outliers removal filter +^^^^^^^^^^^^^^^^^^^^^^^ + +**Description** + +Also called as a **dezinger**. Outliers removal filter is a part of the module :doc:`../../api/httomolibgpu.misc.corr` for data correction. +This method seeks the pixels/voxels that do not fit normally distributed data and replace them by using the :ref:`method_median_filter`. Essentially, dezinger is +a spatially variant median filter. The user needs to set the threshold parameter, based on which the filter will remove the outliers that are **above** +the chosen threshold. See the :code:`dif` parameter of the :code:`remove_outlier` method. +Mathematically, one can express the dezinger as: + +.. math:: + + f \in \mathrm{R}^{N}: \textit{input} + + g \in \mathrm{R}^{N}: \textit{output} + + \hat{f}_{i} = \textit{median}(f_{j}), \textrm{where} \ j \in \mathrm{N}_{i} + + g_{i} = \hat{f}_{i} \ \textrm{if} \ | f_{i} - \hat{f}_{i} | \geq \sigma. + +Where :math:`\sigma` is the threshold parameter and :math:`\mathrm{N}_{i}` is the symmetric neighbourhood (e.g. 3 x 3) of the pixel :math:`j`. + +.. note:: Increasing the threshold value leads to the filter being more selective and decreasing the value makes it more like the normal median filter. + +**Where and how to use it:** + +Outliers removal filter should be used in situations when the data (projections or sinograms) contains pixels/voxels that do not belong to the surrounding area. +Usually, it looks like a `salt-and-pepper <https://en.wikipedia.org/wiki/Salt-and-pepper_noise>`_ noise or speckle-type noise, see Practical example bellow. In tomography, such +noise can be present because of the scattered X-rays and the quicker way to establish the need for the filter is to investigate the raw data visually. When removing +the outliers, it is preferable to avoid any modification of the data, therefore some experimentation with the :math:`\sigma` parameter might needed. + +**What are the adjustable parameters:** + +* :code:`kernel_size` defines the neighborhood size, see :math:`\mathrm{N}_{i}` in the equations above. For instance, for 2D image :code:`kernel_size = 3` defines the neighborhood of 3 by 3 pixels (one needs to use only odd numbers). Increasing :code:`kernel_size` results in more smoothing applied, it is recommended to use the higher values when the clusters of pixels are large. As a rule of thumb, keeping :code:`kernel_size` within 7-11 range is a good trade-off. The limit is set to 13 currently. + +* :code:`dif` defines the threshold above which the value in the pixel is considered to be too high/low. Some empirical testing is usually required to establish the best trade-off. + + +**Practical example:** + +In this example we demonstrate how the outliers, visible in sinogram and projection spaces can be removed from the data. + +.. list-table:: + + + * - .. figure:: ../../_static/auto_images_methods/remove_outlier_input_sino.png + + Input (sinogram view) with a stripe of outliers in the middle of the image. + + - .. figure:: ../../_static/auto_images_methods/remove_outlier_input_proj.png + + Input (projection view) with some outliers in the left part of the image. + + * - .. figure:: ../../_static/auto_images_methods/remove_outlier_sino.png + + After applying outliers removal (sinogram) + + - .. figure:: ../../_static/auto_images_methods/remove_outlier_proj.png + + After applying outliers removal (projection) + + * - .. figure:: ../../_static/auto_images_methods/remove_outlier_res_sino.png + + Sinogram view of absolute residual between input and output. Note that the residual contains only removed outliers, we want to avoid smoothing the data. + + - .. figure:: ../../_static/auto_images_methods/remove_outlier_res_proj.png + + Projection view of absolute residual between input and output. 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border-left: solid 1px gray; + margin-left: 1px; +} + +table.citation td { + border-bottom: none; +} + +th > :first-child, +td > :first-child { + margin-top: 0px; +} + +th > :last-child, +td > :last-child { + margin-bottom: 0px; +} + +/* -- figures --------------------------------------------------------------- */ + +div.figure, figure { + margin: 0.5em; + padding: 0.5em; +} + +div.figure p.caption, figcaption { + padding: 0.3em; +} + +div.figure p.caption span.caption-number, +figcaption span.caption-number { + font-style: italic; +} + +div.figure p.caption span.caption-text, +figcaption span.caption-text { +} + +/* -- field list styles ----------------------------------------------------- */ + +table.field-list td, table.field-list th { + border: 0 !important; +} + +.field-list ul { + margin: 0; + padding-left: 1em; +} + +.field-list p { + margin: 0; +} + +.field-name { + -moz-hyphens: manual; + -ms-hyphens: manual; + -webkit-hyphens: manual; + hyphens: manual; +} + +/* -- hlist styles ---------------------------------------------------------- */ + +table.hlist { + margin: 1em 0; +} + +table.hlist td { + vertical-align: top; +} + +/* -- object description styles --------------------------------------------- */ + +.sig { + font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace; +} + +.sig-name, code.descname { + background-color: transparent; + font-weight: bold; +} + +.sig-name { + font-size: 1.1em; +} + +code.descname { + font-size: 1.2em; +} + +.sig-prename, code.descclassname { + background-color: transparent; +} + +.optional { + font-size: 1.3em; +} + +.sig-paren { + font-size: larger; +} + +.sig-param.n { + font-style: italic; +} + +/* C++ specific styling */ + +.sig-inline.c-texpr, +.sig-inline.cpp-texpr { + font-family: unset; +} + +.sig.c .k, .sig.c .kt, +.sig.cpp .k, .sig.cpp .kt { + color: #0033B3; +} + +.sig.c .m, +.sig.cpp .m { + color: #1750EB; +} + +.sig.c .s, .sig.c .sc, +.sig.cpp .s, .sig.cpp .sc { + color: 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<path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2" /> +</svg> diff --git a/_static/copybutton.css b/_static/copybutton.css new file mode 100644 index 00000000..f1916ec7 --- /dev/null +++ b/_static/copybutton.css @@ -0,0 +1,94 @@ +/* Copy buttons */ +button.copybtn { + position: absolute; + display: flex; + top: .3em; + right: .3em; + width: 1.7em; + height: 1.7em; + opacity: 0; + transition: opacity 0.3s, border .3s, background-color .3s; + user-select: none; + padding: 0; + border: none; + outline: none; + border-radius: 0.4em; + /* The colors that GitHub uses */ + border: #1b1f2426 1px solid; + background-color: #f6f8fa; + color: #57606a; +} + +button.copybtn.success { + border-color: #22863a; + color: #22863a; +} + +button.copybtn svg { + stroke: currentColor; + width: 1.5em; + height: 1.5em; + padding: 0.1em; +} + +div.highlight { + position: relative; +} + +/* Show the copybutton */ +.highlight:hover button.copybtn, button.copybtn.success { + opacity: 1; +} + +.highlight button.copybtn:hover { + background-color: rgb(235, 235, 235); +} + +.highlight button.copybtn:active { + background-color: rgb(187, 187, 187); +} + +/** + * A minimal CSS-only tooltip copied from: + * https://codepen.io/mildrenben/pen/rVBrpK + * + * To use, write HTML like the following: + * + * <p class="o-tooltip--left" data-tooltip="Hey">Short</p> + */ + .o-tooltip--left { + position: relative; + } + + .o-tooltip--left:after { + opacity: 0; + visibility: hidden; + position: absolute; + content: attr(data-tooltip); + padding: .2em; + font-size: .8em; + left: -.2em; + background: grey; + color: white; + white-space: nowrap; + z-index: 2; + border-radius: 2px; + transform: translateX(-102%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); +} + +.o-tooltip--left:hover:after { + display: block; + opacity: 1; + visibility: visible; + transform: translateX(-100%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); + transition-delay: .5s; +} + +/* By default the copy button shouldn't show up when printing a page */ +@media print { + button.copybtn { + display: none; + } +} diff --git a/_static/copybutton.js b/_static/copybutton.js new file mode 100644 index 00000000..2ea7ff3e --- /dev/null +++ b/_static/copybutton.js @@ -0,0 +1,248 @@ +// Localization support +const messages = { + 'en': { + 'copy': 'Copy', + 'copy_to_clipboard': 'Copy to clipboard', + 'copy_success': 'Copied!', + 'copy_failure': 'Failed to copy', + }, + 'es' : { + 'copy': 'Copiar', + 'copy_to_clipboard': 'Copiar al portapapeles', + 'copy_success': '¡Copiado!', + 'copy_failure': 'Error al copiar', + }, + 'de' : { + 'copy': 'Kopieren', + 'copy_to_clipboard': 'In die Zwischenablage kopieren', + 'copy_success': 'Kopiert!', + 'copy_failure': 'Fehler beim Kopieren', + }, + 'fr' : { + 'copy': 'Copier', + 'copy_to_clipboard': 'Copier dans le presse-papier', + 'copy_success': 'Copié !', + 'copy_failure': 'Échec de la copie', + }, + 'ru': { + 'copy': 'Скопировать', + 'copy_to_clipboard': 'Скопировать в буфер', + 'copy_success': 'Скопировано!', + 'copy_failure': 'Не удалось скопировать', + }, + 'zh-CN': { + 'copy': '复制', + 'copy_to_clipboard': '复制到剪贴板', + 'copy_success': '复制成功!', + 'copy_failure': '复制失败', + }, + 'it' : { + 'copy': 'Copiare', + 'copy_to_clipboard': 'Copiato negli appunti', + 'copy_success': 'Copiato!', + 'copy_failure': 'Errore durante la copia', + } +} + +let locale = 'en' +if( document.documentElement.lang !== undefined + && messages[document.documentElement.lang] !== undefined ) { + locale = document.documentElement.lang +} + +let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT; +if (doc_url_root == '#') { + doc_url_root = ''; +} + +/** + * SVG files for our copy buttons + */ +let iconCheck = `<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-check" width="44" height="44" viewBox="0 0 24 24" stroke-width="2" stroke="#22863a" fill="none" stroke-linecap="round" stroke-linejoin="round"> + <title>${messages[locale]['copy_success']}</title> + <path stroke="none" d="M0 0h24v24H0z" fill="none"/> + <path d="M5 12l5 5l10 -10" /> +</svg>` + +// If the user specified their own SVG use that, otherwise use the default +let iconCopy = ``; +if (!iconCopy) { + iconCopy = `<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-copy" width="44" height="44" viewBox="0 0 24 24" stroke-width="1.5" stroke="#000000" fill="none" stroke-linecap="round" stroke-linejoin="round"> + <title>${messages[locale]['copy_to_clipboard']}</title> + <path stroke="none" d="M0 0h24v24H0z" fill="none"/> + <rect x="8" y="8" width="12" height="12" rx="2" /> + <path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2" /> +</svg>` +} + +/** + * Set up copy/paste for code blocks + */ + +const runWhenDOMLoaded = cb => { + if (document.readyState != 'loading') { + cb() + } else if (document.addEventListener) { + document.addEventListener('DOMContentLoaded', cb) + } else { + document.attachEvent('onreadystatechange', function() { + if (document.readyState == 'complete') cb() + }) + } +} + +const codeCellId = index => `codecell${index}` + +// Clears selected text since ClipboardJS will select the text when copying +const clearSelection = () => { + if (window.getSelection) { + window.getSelection().removeAllRanges() + } else if (document.selection) { + document.selection.empty() + } +} + +// Changes tooltip text for a moment, then changes it back +// We want the timeout of our `success` class to be a bit shorter than the +// tooltip and icon change, so that we can hide the icon before changing back. +var timeoutIcon = 2000; +var timeoutSuccessClass = 1500; + +const temporarilyChangeTooltip = (el, oldText, newText) => { + el.setAttribute('data-tooltip', newText) + el.classList.add('success') + // Remove success a little bit sooner than we change the tooltip + // So that we can use CSS to hide the copybutton first + setTimeout(() => el.classList.remove('success'), timeoutSuccessClass) + setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon) +} + +// Changes the copy button icon for two seconds, then changes it back +const temporarilyChangeIcon = (el) => { + el.innerHTML = iconCheck; + setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon) +} + +const addCopyButtonToCodeCells = () => { + // If ClipboardJS hasn't loaded, wait a bit and try again. This + // happens because we load ClipboardJS asynchronously. + if (window.ClipboardJS === undefined) { + setTimeout(addCopyButtonToCodeCells, 250) + return + } + + // Add copybuttons to all of our code cells + const COPYBUTTON_SELECTOR = 'div.highlight pre'; + const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR) + codeCells.forEach((codeCell, index) => { + const id = codeCellId(index) + codeCell.setAttribute('id', id) + + const clipboardButton = id => + `<button class="copybtn o-tooltip--left" data-tooltip="${messages[locale]['copy']}" data-clipboard-target="#${id}"> + ${iconCopy} + </button>` + codeCell.insertAdjacentHTML('afterend', clipboardButton(id)) + }) + +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +/** + * Removes excluded text from a Node. + * + * @param {Node} target Node to filter. + * @param {string} exclude CSS selector of nodes to exclude. + * @returns {DOMString} Text from `target` with text removed. + */ +function filterText(target, exclude) { + const clone = target.cloneNode(true); // clone as to not modify the live DOM + if (exclude) { + // remove excluded nodes + clone.querySelectorAll(exclude).forEach(node => node.remove()); + } + return clone.innerText; +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} + + +var copyTargetText = (trigger) => { + var target = document.querySelector(trigger.attributes['data-clipboard-target'].value); + + // get filtered text + let exclude = '.linenos'; + + let text = filterText(target, exclude); + return formatCopyText(text, '', false, true, true, true, '', '') +} + + // Initialize with a callback so we can modify the text before copy + const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText}) + + // Update UI with error/success messages + clipboard.on('success', event => { + clearSelection() + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success']) + temporarilyChangeIcon(event.trigger) + }) + + clipboard.on('error', event => { + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure']) + }) +} + +runWhenDOMLoaded(addCopyButtonToCodeCells) \ No newline at end of file diff --git a/_static/copybutton_funcs.js b/_static/copybutton_funcs.js new file mode 100644 index 00000000..dbe1aaad --- /dev/null +++ b/_static/copybutton_funcs.js @@ -0,0 +1,73 @@ +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +/** + * Removes excluded text from a Node. + * + * @param {Node} target Node to filter. + * @param {string} exclude CSS selector of nodes to exclude. + * @returns {DOMString} Text from `target` with text removed. + */ +export function filterText(target, exclude) { + const clone = target.cloneNode(true); // clone as to not modify the live DOM + if (exclude) { + // remove excluded nodes + clone.querySelectorAll(exclude).forEach(node => node.remove()); + } + return clone.innerText; +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} diff --git a/_static/doctools.js b/_static/doctools.js new file mode 100644 index 00000000..e1bfd708 --- /dev/null +++ b/_static/doctools.js @@ -0,0 +1,358 @@ +/* + * doctools.js + * ~~~~~~~~~~~ + * + * Sphinx JavaScript utilities for all documentation. + * + * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/** + * select a different prefix for underscore + */ +$u = _.noConflict(); + +/** + * make the code below compatible with browsers without + * an installed firebug like debugger +if (!window.console || !console.firebug) { + var names = ["log", "debug", "info", "warn", "error", "assert", "dir", + "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace", + "profile", "profileEnd"]; + window.console = {}; + for (var i = 0; i < names.length; ++i) + window.console[names[i]] = function() {}; +} + */ + +/** + * small helper function to urldecode strings + * + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL + */ +jQuery.urldecode = function(x) { + if (!x) { + return x + } + return decodeURIComponent(x.replace(/\+/g, ' ')); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. Multiple values per key are supported, + * it will always return arrays of strings for the value parts. + */ +jQuery.getQueryParameters = function(s) { + if (typeof s === 'undefined') + s = document.location.search; + var parts = s.substr(s.indexOf('?') + 1).split('&'); + var result = {}; + for (var i = 0; i < parts.length; i++) { + var tmp = parts[i].split('=', 2); + var key = jQuery.urldecode(tmp[0]); + var value = jQuery.urldecode(tmp[1]); + if (key in result) + result[key].push(value); + else + result[key] = [value]; + } + return result; +}; + +/** + * highlight a given string on a jquery object by wrapping it in + * span elements with the given class name. + */ +jQuery.fn.highlightText = function(text, className) { + function highlight(node, addItems) { + if (node.nodeType === 3) { + var val = node.nodeValue; + var pos = val.toLowerCase().indexOf(text); + if (pos >= 0 && + !jQuery(node.parentNode).hasClass(className) && + !jQuery(node.parentNode).hasClass("nohighlight")) { + var span; + var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.className = className; + } + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + node.parentNode.insertBefore(span, node.parentNode.insertBefore( + document.createTextNode(val.substr(pos + text.length)), + node.nextSibling)); + node.nodeValue = val.substr(0, pos); + if (isInSVG) { + var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect"); + var bbox = node.parentElement.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute('class', className); + addItems.push({ + "parent": node.parentNode, + "target": rect}); + } + } + } + else if (!jQuery(node).is("button, select, textarea")) { + jQuery.each(node.childNodes, function() { + highlight(this, addItems); + }); + } + } + var addItems = []; + var result = this.each(function() { + highlight(this, addItems); + }); + for (var i = 0; i < addItems.length; ++i) { + jQuery(addItems[i].parent).before(addItems[i].target); + } + return result; +}; + +/* + * backward compatibility for jQuery.browser + * This will be supported until firefox bug is fixed. + */ +if (!jQuery.browser) { + jQuery.uaMatch = function(ua) { + ua = ua.toLowerCase(); + + var match = /(chrome)[ \/]([\w.]+)/.exec(ua) || + /(webkit)[ \/]([\w.]+)/.exec(ua) || + /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) || + /(msie) ([\w.]+)/.exec(ua) || + ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) || + []; + + return { + browser: match[ 1 ] || "", + version: match[ 2 ] || "0" + }; + }; + jQuery.browser = {}; + jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true; +} + +/** + * Small JavaScript module for the documentation. + */ +var Documentation = { + + init : function() { + this.fixFirefoxAnchorBug(); + this.highlightSearchWords(); + this.initIndexTable(); + this.initOnKeyListeners(); + }, + + /** + * i18n support + */ + TRANSLATIONS : {}, + PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; }, + LOCALE : 'unknown', + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext : function(string) { + var translated = Documentation.TRANSLATIONS[string]; + if (typeof translated === 'undefined') + return string; + return (typeof translated === 'string') ? translated : translated[0]; + }, + + ngettext : function(singular, plural, n) { + var translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated === 'undefined') + return (n == 1) ? singular : plural; + return translated[Documentation.PLURALEXPR(n)]; + }, + + addTranslations : function(catalog) { + for (var key in catalog.messages) + this.TRANSLATIONS[key] = catalog.messages[key]; + this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')'); + this.LOCALE = catalog.locale; + }, + + /** + * add context elements like header anchor links + */ + addContextElements : function() { + $('div[id] > :header:first').each(function() { + $('<a class="headerlink">\u00B6</a>'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this headline')). + appendTo(this); + }); + $('dt[id]').each(function() { + $('<a class="headerlink">\u00B6</a>'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this definition')). + appendTo(this); + }); + }, + + /** + * workaround a firefox stupidity + * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075 + */ + fixFirefoxAnchorBug : function() { + if (document.location.hash && $.browser.mozilla) + window.setTimeout(function() { + document.location.href += ''; + }, 10); + }, + + /** + * highlight the search words provided in the url in the text + */ + highlightSearchWords : function() { + var params = $.getQueryParameters(); + var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : []; + if (terms.length) { + var body = $('div.body'); + if (!body.length) { + body = $('body'); + } + window.setTimeout(function() { + $.each(terms, function() { + body.highlightText(this.toLowerCase(), 'highlighted'); + }); + }, 10); + $('<p class="highlight-link"><a href="javascript:Documentation.' + + 'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>') + .appendTo($('#searchbox')); + } + }, + + /** + * init the domain index toggle buttons + */ + initIndexTable : function() { + var togglers = $('img.toggler').click(function() { + var src = $(this).attr('src'); + var idnum = $(this).attr('id').substr(7); + $('tr.cg-' + idnum).toggle(); + if (src.substr(-9) === 'minus.png') + $(this).attr('src', src.substr(0, src.length-9) + 'plus.png'); + else + $(this).attr('src', src.substr(0, src.length-8) + 'minus.png'); + }).css('display', ''); + if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) { + togglers.click(); + } + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords : function() { + $('#searchbox .highlight-link').fadeOut(300); + $('span.highlighted').removeClass('highlighted'); + var url = new URL(window.location); + url.searchParams.delete('highlight'); + window.history.replaceState({}, '', url); + }, + + /** + * helper function to focus on search bar + */ + focusSearchBar : function() { + $('input[name=q]').first().focus(); + }, + + /** + * make the url absolute + */ + makeURL : function(relativeURL) { + return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL; + }, + + /** + * get the current relative url + */ + getCurrentURL : function() { + var path = document.location.pathname; + var parts = path.split(/\//); + $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() { + if (this === '..') + parts.pop(); + }); + var url = parts.join('/'); + return path.substring(url.lastIndexOf('/') + 1, path.length - 1); + }, + + initOnKeyListeners: function() { + // only install a listener if it is really needed + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS && + !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) + return; + + $(document).keydown(function(event) { + var activeElementType = document.activeElement.tagName; + // don't navigate when in search box, textarea, dropdown or button + if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT' + && activeElementType !== 'BUTTON') { + if (event.altKey || event.ctrlKey || event.metaKey) + return; + + if (!event.shiftKey) { + switch (event.key) { + case 'ArrowLeft': + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) + break; + var prevHref = $('link[rel="prev"]').prop('href'); + if (prevHref) { + window.location.href = prevHref; + return false; + } + break; + case 'ArrowRight': + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) + break; + var nextHref = $('link[rel="next"]').prop('href'); + if (nextHref) { + window.location.href = nextHref; + return false; + } + break; + case 'Escape': + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) + break; + Documentation.hideSearchWords(); + return false; + } + } + + // some keyboard layouts may need Shift to get / + switch (event.key) { + case '/': + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) + break; 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Foundation and other contributors + * Released under the MIT license + * https://jquery.org/license + * + * Date: 2020-05-04T22:49Z + */ +( function( global, factory ) { + + "use strict"; + + if ( typeof module === "object" && typeof module.exports === "object" ) { + + // For CommonJS and CommonJS-like environments where a proper `window` + // is present, execute the factory and get jQuery. + // For environments that do not have a `window` with a `document` + // (such as Node.js), expose a factory as module.exports. + // This accentuates the need for the creation of a real `window`. + // e.g. var jQuery = require("jquery")(window); + // See ticket #14549 for more info. + module.exports = global.document ? + factory( global, true ) : + function( w ) { + if ( !w.document ) { + throw new Error( "jQuery requires a window with a document" ); + } + return factory( w ); + }; + } else { + factory( global ); + } + +// Pass this if window is not defined yet +} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) { + +// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1 +// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode +// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common +// enough that all such attempts are guarded in a try block. +"use strict"; + +var arr = []; + +var getProto = Object.getPrototypeOf; + +var slice = arr.slice; + +var flat = arr.flat ? function( array ) { + return arr.flat.call( array ); +} : function( array ) { + return arr.concat.apply( [], array ); +}; + + +var push = arr.push; + +var indexOf = arr.indexOf; + +var class2type = {}; + +var toString = class2type.toString; + +var hasOwn = class2type.hasOwnProperty; + +var fnToString = hasOwn.toString; + +var ObjectFunctionString = fnToString.call( Object ); + +var support = {}; + +var isFunction = function isFunction( obj ) { + + // Support: Chrome <=57, Firefox <=52 + // In some browsers, typeof returns "function" for HTML <object> elements + // (i.e., `typeof document.createElement( "object" ) === "function"`). + // We don't want to classify *any* DOM node as a function. + return typeof obj === "function" && typeof obj.nodeType !== "number"; + }; + + +var isWindow = function isWindow( obj ) { + return obj != null && obj === obj.window; + }; + + +var document = window.document; + + + + var preservedScriptAttributes = { + type: true, + src: true, + nonce: true, + noModule: true + }; + + function DOMEval( code, node, doc ) { + doc = doc || document; + + var i, val, + script = doc.createElement( "script" ); + + script.text = code; + if ( node ) { + for ( i in preservedScriptAttributes ) { + + // Support: Firefox 64+, Edge 18+ + // Some browsers don't support the "nonce" property on scripts. + // On the other hand, just using `getAttribute` is not enough as + // the `nonce` attribute is reset to an empty string whenever it + // becomes browsing-context connected. + // See https://github.com/whatwg/html/issues/2369 + // See https://html.spec.whatwg.org/#nonce-attributes + // The `node.getAttribute` check was added for the sake of + // `jQuery.globalEval` so that it can fake a nonce-containing node + // via an object. + val = node[ i ] || node.getAttribute && node.getAttribute( i ); + if ( val ) { + script.setAttribute( i, val ); + } + } + } + doc.head.appendChild( script ).parentNode.removeChild( script ); + } + + +function toType( obj ) { + if ( obj == null ) { + return obj + ""; + } + + // Support: Android <=2.3 only (functionish RegExp) + return typeof obj === "object" || typeof obj === "function" ? + class2type[ toString.call( obj ) ] || "object" : + typeof obj; +} +/* global Symbol */ +// Defining this global in .eslintrc.json would create a danger of using the global +// unguarded in another place, it seems safer to define global only for this module + + + +var + version = "3.5.1", + + // Define a local copy of jQuery + jQuery = function( selector, context ) { + + // The jQuery object is actually just the init constructor 'enhanced' + // Need init if jQuery is called (just allow error to be thrown if not included) + return new jQuery.fn.init( selector, context ); + }; + +jQuery.fn = jQuery.prototype = { + + // The current version of jQuery being used + jquery: version, + + constructor: jQuery, + + // The default length of a jQuery object is 0 + length: 0, + + toArray: function() { + return slice.call( this ); + }, + + // Get the Nth element in the matched element set OR + // Get the whole matched element set as a clean array + get: function( num ) { + + // Return all the elements in a clean array + if ( num == null ) { + return slice.call( this ); + } + + // Return just the one element from the set + return num < 0 ? this[ num + this.length ] : this[ num ]; + }, + + // Take an array of elements and push it onto the stack + // (returning the new matched element set) + pushStack: function( elems ) { + + // Build a new jQuery matched element set + var ret = jQuery.merge( this.constructor(), elems ); + + // Add the old object onto the stack (as a reference) + ret.prevObject = this; + + // Return the newly-formed element set + return ret; + }, + + // Execute a callback for every element in the matched set. + each: function( callback ) { + return jQuery.each( this, callback ); + }, + + map: function( callback ) { + return this.pushStack( jQuery.map( this, function( elem, i ) { + return callback.call( elem, i, elem ); + } ) ); + }, + + slice: function() { + return this.pushStack( slice.apply( this, arguments ) ); + }, + + first: function() { + return this.eq( 0 ); + }, + + last: function() { + return this.eq( -1 ); + }, + + even: function() { + return this.pushStack( jQuery.grep( this, function( _elem, i ) { + return ( i + 1 ) % 2; + } ) ); + }, + + odd: function() { + return this.pushStack( jQuery.grep( this, function( _elem, i ) { + return i % 2; + } ) ); + }, + + eq: function( i ) { + var len = this.length, + j = +i + ( i < 0 ? len : 0 ); + return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] ); + }, + + end: function() { + return this.prevObject || this.constructor(); + }, + + // For internal use only. + // Behaves like an Array's method, not like a jQuery method. + push: push, + sort: arr.sort, + splice: arr.splice +}; + +jQuery.extend = jQuery.fn.extend = function() { + var options, name, src, copy, copyIsArray, clone, + target = arguments[ 0 ] || {}, + i = 1, + length = arguments.length, + deep = false; + + // Handle a deep copy situation + if ( typeof target === "boolean" ) { + deep = target; + + // Skip the boolean and the target + target = arguments[ i ] || {}; + i++; + } + + // Handle case when target is a string or something (possible in deep copy) + if ( typeof target !== "object" && !isFunction( target ) ) { + target = {}; + } + + // Extend jQuery itself if only one argument is passed + if ( i === length ) { + target = this; + i--; + } + + for ( ; i < length; i++ ) { + + // Only deal with non-null/undefined values + if ( ( options = arguments[ i ] ) != null ) { + + // Extend the base object + for ( name in options ) { + copy = options[ name ]; + + // Prevent Object.prototype pollution + // Prevent never-ending loop + if ( name === "__proto__" || target === copy ) { + continue; + } + + // Recurse if we're merging plain objects or arrays + if ( deep && copy && ( jQuery.isPlainObject( copy ) || + ( copyIsArray = Array.isArray( copy ) ) ) ) { + src = target[ name ]; + + // Ensure proper type for the source value + if ( copyIsArray && !Array.isArray( src ) ) { + clone = []; + } else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) { + clone = {}; + } else { + clone = src; + } + copyIsArray = false; + + // Never move original objects, clone them + target[ name ] = jQuery.extend( deep, clone, copy ); + + // Don't bring in undefined values + } else if ( copy !== undefined ) { + target[ name ] = copy; + } + } + } + } + + // Return the modified object + return target; +}; + +jQuery.extend( { + + // Unique for each copy of jQuery on the page + expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ), + + // Assume jQuery is ready without the ready module + isReady: true, + + error: function( msg ) { + throw new Error( msg ); + }, + + noop: function() {}, + + isPlainObject: function( obj ) { + var proto, Ctor; + + // Detect obvious negatives + // Use toString instead of jQuery.type to catch host objects + if ( !obj || toString.call( obj ) !== "[object Object]" ) { + return false; + } + + proto = getProto( obj ); + + // Objects with no prototype (e.g., `Object.create( null )`) are plain + if ( !proto ) { + return true; + } + + // Objects with prototype are plain iff they were constructed by a global Object function + Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor; + return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString; + }, + + isEmptyObject: function( obj ) { + var name; + + for ( name in obj ) { + return false; + } + return true; + }, + + // Evaluates a script in a provided context; falls back to the global one + // if not specified. + globalEval: function( code, options, doc ) { + DOMEval( code, { nonce: options && options.nonce }, doc ); + }, + + each: function( obj, callback ) { + var length, i = 0; + + if ( isArrayLike( obj ) ) { + length = obj.length; + for ( ; i < length; i++ ) { + if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { + break; + } + } + } else { + for ( i in obj ) { + if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { + break; + } + } + } + + return obj; + }, + + // results is for internal usage only + makeArray: function( arr, results ) { + var ret = results || []; + + if ( arr != null ) { + if ( isArrayLike( Object( arr ) ) ) { + jQuery.merge( ret, + typeof arr === "string" ? + [ arr ] : arr + ); + } else { + push.call( ret, arr ); + } + } + + return ret; + }, + + inArray: function( elem, arr, i ) { + return arr == null ? -1 : indexOf.call( arr, elem, i ); + }, + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + merge: function( first, second ) { + var len = +second.length, + j = 0, + i = first.length; + + for ( ; j < len; j++ ) { + first[ i++ ] = second[ j ]; + } + + first.length = i; + + return first; + }, + + grep: function( elems, callback, invert ) { + var callbackInverse, + matches = [], + i = 0, + length = elems.length, + callbackExpect = !invert; + + // Go through the array, only saving the items + // that pass the validator function + for ( ; i < length; i++ ) { + callbackInverse = !callback( elems[ i ], i ); + if ( callbackInverse !== callbackExpect ) { + matches.push( elems[ i ] ); + } + } + + return matches; + }, + + // arg is for internal usage only + map: function( elems, callback, arg ) { + var length, value, + i = 0, + ret = []; + + // Go through the array, translating each of the items to their new values + if ( isArrayLike( elems ) ) { + length = elems.length; + for ( ; i < length; i++ ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret.push( value ); + } + } + + // Go through every key on the object, + } else { + for ( i in elems ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret.push( value ); + } + } + } + + // Flatten any nested arrays + return flat( ret ); + }, + + // A global GUID counter for objects + guid: 1, + + // jQuery.support is not used in Core but other projects attach their + // properties to it so it needs to exist. + support: support +} ); + +if ( typeof Symbol === "function" ) { + jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ]; +} + +// Populate the class2type map +jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ), +function( _i, name ) { + class2type[ "[object " + name + "]" ] = name.toLowerCase(); +} ); + +function isArrayLike( obj ) { + + // Support: real iOS 8.2 only (not reproducible in simulator) + // `in` check used to prevent JIT error (gh-2145) + // hasOwn isn't used here due to false negatives + // regarding Nodelist length in IE + var length = !!obj && "length" in obj && obj.length, + type = toType( obj ); + + if ( isFunction( obj ) || isWindow( obj ) ) { + return false; + } + + return type === "array" || length === 0 || + typeof length === "number" && length > 0 && ( length - 1 ) in obj; +} +var Sizzle = +/*! + * Sizzle CSS Selector Engine v2.3.5 + * https://sizzlejs.com/ + * + * Copyright JS Foundation and other contributors + * Released under the MIT license + * https://js.foundation/ + * + * Date: 2020-03-14 + */ +( function( window ) { +var i, + support, + Expr, + getText, + isXML, + tokenize, + compile, + select, + outermostContext, + sortInput, + hasDuplicate, + + // Local document vars + setDocument, + document, + docElem, + documentIsHTML, + rbuggyQSA, + rbuggyMatches, + matches, + contains, + + // Instance-specific data + expando = "sizzle" + 1 * new Date(), + preferredDoc = window.document, + dirruns = 0, + done = 0, + classCache = createCache(), + tokenCache = createCache(), + compilerCache = createCache(), + nonnativeSelectorCache = createCache(), + sortOrder = function( a, b ) { + if ( a === b ) { + hasDuplicate = true; + } + return 0; + }, + + // Instance methods + hasOwn = ( {} ).hasOwnProperty, + arr = [], + pop = arr.pop, + pushNative = arr.push, + push = arr.push, + slice = arr.slice, + + // Use a stripped-down indexOf as it's faster than native + // https://jsperf.com/thor-indexof-vs-for/5 + indexOf = function( list, elem ) { + var i = 0, + len = list.length; + for ( ; i < len; i++ ) { + if ( list[ i ] === elem ) { + return i; + } + } + return -1; + }, + + booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" + + "ismap|loop|multiple|open|readonly|required|scoped", + + // Regular expressions + + // http://www.w3.org/TR/css3-selectors/#whitespace + whitespace = "[\\x20\\t\\r\\n\\f]", + + // https://www.w3.org/TR/css-syntax-3/#ident-token-diagram + identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace + + "?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+", + + // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors + attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace + + + // Operator (capture 2) + "*([*^$|!~]?=)" + whitespace + + + // "Attribute values must be CSS identifiers [capture 5] + // or strings [capture 3 or capture 4]" + "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + + whitespace + "*\\]", + + pseudos = ":(" + identifier + ")(?:\\((" + + + // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: + // 1. quoted (capture 3; capture 4 or capture 5) + "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + + + // 2. simple (capture 6) + "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + + + // 3. anything else (capture 2) + ".*" + + ")\\)|)", + + // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter + rwhitespace = new RegExp( whitespace + "+", "g" ), + rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + + whitespace + "+$", "g" ), + + rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), + rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + + "*" ), + rdescend = new RegExp( whitespace + "|>" ), + + rpseudo = new RegExp( pseudos ), + ridentifier = new RegExp( "^" + identifier + "$" ), + + matchExpr = { + "ID": new RegExp( "^#(" + identifier + ")" ), + "CLASS": new RegExp( "^\\.(" + identifier + ")" ), + "TAG": new RegExp( "^(" + identifier + "|[*])" ), + "ATTR": new RegExp( "^" + attributes ), + "PSEUDO": new RegExp( "^" + pseudos ), + "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + + whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + + whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), + "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), + + // For use in libraries implementing .is() + // We use this for POS matching in `select` + "needsContext": new RegExp( "^" + whitespace + + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace + + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) + }, + + rhtml = /HTML$/i, + rinputs = /^(?:input|select|textarea|button)$/i, + rheader = /^h\d$/i, + + rnative = /^[^{]+\{\s*\[native \w/, + + // Easily-parseable/retrievable ID or TAG or CLASS selectors + rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, + + rsibling = /[+~]/, + + // CSS escapes + // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters + runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ), + funescape = function( escape, nonHex ) { + var high = "0x" + escape.slice( 1 ) - 0x10000; + + return nonHex ? + + // Strip the backslash prefix from a non-hex escape sequence + nonHex : + + // Replace a hexadecimal escape sequence with the encoded Unicode code point + // Support: IE <=11+ + // For values outside the Basic Multilingual Plane (BMP), manually construct a + // surrogate pair + high < 0 ? + String.fromCharCode( high + 0x10000 ) : + String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); + }, + + // CSS string/identifier serialization + // https://drafts.csswg.org/cssom/#common-serializing-idioms + rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g, + fcssescape = function( ch, asCodePoint ) { + if ( asCodePoint ) { + + // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER + if ( ch === "\0" ) { + return "\uFFFD"; + } + + // Control characters and (dependent upon position) numbers get escaped as code points + return ch.slice( 0, -1 ) + "\\" + + ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " "; + } + + // Other potentially-special ASCII characters get backslash-escaped + return "\\" + ch; + }, + + // Used for iframes + // See setDocument() + // Removing the function wrapper causes a "Permission Denied" + // error in IE + unloadHandler = function() { + setDocument(); + }, + + inDisabledFieldset = addCombinator( + function( elem ) { + return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset"; + }, + { dir: "parentNode", next: "legend" } + ); + +// Optimize for push.apply( _, NodeList ) +try { + push.apply( + ( arr = slice.call( preferredDoc.childNodes ) ), + preferredDoc.childNodes + ); + + // Support: Android<4.0 + // Detect silently failing push.apply + // eslint-disable-next-line no-unused-expressions + arr[ preferredDoc.childNodes.length ].nodeType; +} catch ( e ) { + push = { apply: arr.length ? + + // Leverage slice if possible + function( target, els ) { + pushNative.apply( target, slice.call( els ) ); + } : + + // Support: IE<9 + // Otherwise append directly + function( target, els ) { + var j = target.length, + i = 0; + + // Can't trust NodeList.length + while ( ( target[ j++ ] = els[ i++ ] ) ) {} + target.length = j - 1; + } + }; +} + +function Sizzle( selector, context, results, seed ) { + var m, i, elem, nid, match, groups, newSelector, + newContext = context && context.ownerDocument, + + // nodeType defaults to 9, since context defaults to document + nodeType = context ? context.nodeType : 9; + + results = results || []; + + // Return early from calls with invalid selector or context + if ( typeof selector !== "string" || !selector || + nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) { + + return results; + } + + // Try to shortcut find operations (as opposed to filters) in HTML documents + if ( !seed ) { + setDocument( context ); + context = context || document; + + if ( documentIsHTML ) { + + // If the selector is sufficiently simple, try using a "get*By*" DOM method + // (excepting DocumentFragment context, where the methods don't exist) + if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) { + + // ID selector + if ( ( m = match[ 1 ] ) ) { + + // Document context + if ( nodeType === 9 ) { + if ( ( elem = context.getElementById( m ) ) ) { + + // Support: IE, Opera, Webkit + // TODO: identify versions + // getElementById can match elements by name instead of ID + if ( elem.id === m ) { + results.push( elem ); + return results; + } + } else { + return results; + } + + // Element context + } else { + + // Support: IE, Opera, Webkit + // TODO: identify versions + // getElementById can match elements by name instead of ID + if ( newContext && ( elem = newContext.getElementById( m ) ) && + contains( context, elem ) && + elem.id === m ) { + + results.push( elem ); + return results; + } + } + + // Type selector + } else if ( match[ 2 ] ) { + push.apply( results, context.getElementsByTagName( selector ) ); + return results; + + // Class selector + } else if ( ( m = match[ 3 ] ) && support.getElementsByClassName && + context.getElementsByClassName ) { + + push.apply( results, context.getElementsByClassName( m ) ); + return results; + } + } + + // Take advantage of querySelectorAll + if ( support.qsa && + !nonnativeSelectorCache[ selector + " " ] && + ( !rbuggyQSA || !rbuggyQSA.test( selector ) ) && + + // Support: IE 8 only + // Exclude object elements + ( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) { + + newSelector = selector; + newContext = context; + + // qSA considers elements outside a scoping root when evaluating child or + // descendant combinators, which is not what we want. + // In such cases, we work around the behavior by prefixing every selector in the + // list with an ID selector referencing the scope context. + // The technique has to be used as well when a leading combinator is used + // as such selectors are not recognized by querySelectorAll. + // Thanks to Andrew Dupont for this technique. + if ( nodeType === 1 && + ( rdescend.test( selector ) || rcombinators.test( selector ) ) ) { + + // Expand context for sibling selectors + newContext = rsibling.test( selector ) && testContext( context.parentNode ) || + context; + + // We can use :scope instead of the ID hack if the browser + // supports it & if we're not changing the context. + if ( newContext !== context || !support.scope ) { + + // Capture the context ID, setting it first if necessary + if ( ( nid = context.getAttribute( "id" ) ) ) { + nid = nid.replace( rcssescape, fcssescape ); + } else { + context.setAttribute( "id", ( nid = expando ) ); + } + } + + // Prefix every selector in the list + groups = tokenize( selector ); + i = groups.length; + while ( i-- ) { + groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " + + toSelector( groups[ i ] ); + } + newSelector = groups.join( "," ); + } + + try { + push.apply( results, + newContext.querySelectorAll( newSelector ) + ); + return results; + } catch ( qsaError ) { + nonnativeSelectorCache( selector, true ); + } finally { + if ( nid === expando ) { + context.removeAttribute( "id" ); + } + } + } + } + } + + // All others + return select( selector.replace( rtrim, "$1" ), context, results, seed ); +} + +/** + * Create key-value caches of limited size + * @returns {function(string, object)} Returns the Object data after storing it on itself with + * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) + * deleting the oldest entry + */ +function createCache() { + var keys = []; + + function cache( key, value ) { + + // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) + if ( keys.push( key + " " ) > Expr.cacheLength ) { + + // Only keep the most recent entries + delete cache[ keys.shift() ]; + } + return ( cache[ key + " " ] = value ); + } + return cache; +} + +/** + * Mark a function for special use by Sizzle + * @param {Function} fn The function to mark + */ +function markFunction( fn ) { + fn[ expando ] = true; + return fn; +} + +/** + * Support testing using an element + * @param {Function} fn Passed the created element and returns a boolean result + */ +function assert( fn ) { + var el = document.createElement( "fieldset" ); + + try { + return !!fn( el ); + } catch ( e ) { + return false; + } finally { + + // Remove from its parent by default + if ( el.parentNode ) { + el.parentNode.removeChild( el ); + } + + // release memory in IE + el = null; + } +} + +/** + * Adds the same handler for all of the specified attrs + * @param {String} attrs Pipe-separated list of attributes + * @param {Function} handler The method that will be applied + */ +function addHandle( attrs, handler ) { + var arr = attrs.split( "|" ), + i = arr.length; + + while ( i-- ) { + Expr.attrHandle[ arr[ i ] ] = handler; + } +} + +/** + * Checks document order of two siblings + * @param {Element} a + * @param {Element} b + * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b + */ +function siblingCheck( a, b ) { + var cur = b && a, + diff = cur && a.nodeType === 1 && b.nodeType === 1 && + a.sourceIndex - b.sourceIndex; + + // Use IE sourceIndex if available on both nodes + if ( diff ) { + return diff; + } + + // Check if b follows a + if ( cur ) { + while ( ( cur = cur.nextSibling ) ) { + if ( cur === b ) { + return -1; + } + } + } + + return a ? 1 : -1; +} + +/** + * Returns a function to use in pseudos for input types + * @param {String} type + */ +function createInputPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === type; + }; +} + +/** + * Returns a function to use in pseudos for buttons + * @param {String} type + */ +function createButtonPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return ( name === "input" || name === "button" ) && elem.type === type; + }; +} + +/** + * Returns a function to use in pseudos for :enabled/:disabled + * @param {Boolean} disabled true for :disabled; false for :enabled + */ +function createDisabledPseudo( disabled ) { + + // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable + return function( elem ) { + + // Only certain elements can match :enabled or :disabled + // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled + // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled + if ( "form" in elem ) { + + // Check for inherited disabledness on relevant non-disabled elements: + // * listed form-associated elements in a disabled fieldset + // https://html.spec.whatwg.org/multipage/forms.html#category-listed + // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled + // * option elements in a disabled optgroup + // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled + // All such elements have a "form" property. + if ( elem.parentNode && elem.disabled === false ) { + + // Option elements defer to a parent optgroup if present + if ( "label" in elem ) { + if ( "label" in elem.parentNode ) { + return elem.parentNode.disabled === disabled; + } else { + return elem.disabled === disabled; + } + } + + // Support: IE 6 - 11 + // Use the isDisabled shortcut property to check for disabled fieldset ancestors + return elem.isDisabled === disabled || + + // Where there is no isDisabled, check manually + /* jshint -W018 */ + elem.isDisabled !== !disabled && + inDisabledFieldset( elem ) === disabled; + } + + return elem.disabled === disabled; + + // Try to winnow out elements that can't be disabled before trusting the disabled property. + // Some victims get caught in our net (label, legend, menu, track), but it shouldn't + // even exist on them, let alone have a boolean value. + } else if ( "label" in elem ) { + return elem.disabled === disabled; + } + + // Remaining elements are neither :enabled nor :disabled + return false; + }; +} + +/** + * Returns a function to use in pseudos for positionals + * @param {Function} fn + */ +function createPositionalPseudo( fn ) { + return markFunction( function( argument ) { + argument = +argument; + return markFunction( function( seed, matches ) { + var j, + matchIndexes = fn( [], seed.length, argument ), + i = matchIndexes.length; + + // Match elements found at the specified indexes + while ( i-- ) { + if ( seed[ ( j = matchIndexes[ i ] ) ] ) { + seed[ j ] = !( matches[ j ] = seed[ j ] ); + } + } + } ); + } ); +} + +/** + * Checks a node for validity as a Sizzle context + * @param {Element|Object=} context + * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value + */ +function testContext( context ) { + return context && typeof context.getElementsByTagName !== "undefined" && context; +} + +// Expose support vars for convenience +support = Sizzle.support = {}; + +/** + * Detects XML nodes + * @param {Element|Object} elem An element or a document + * @returns {Boolean} True iff elem is a non-HTML XML node + */ +isXML = Sizzle.isXML = function( elem ) { + var namespace = elem.namespaceURI, + docElem = ( elem.ownerDocument || elem ).documentElement; + + // Support: IE <=8 + // Assume HTML when documentElement doesn't yet exist, such as inside loading iframes + // https://bugs.jquery.com/ticket/4833 + return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" ); +}; + +/** + * Sets document-related variables once based on the current document + * @param {Element|Object} [doc] An element or document object to use to set the document + * @returns {Object} Returns the current document + */ +setDocument = Sizzle.setDocument = function( node ) { + var hasCompare, subWindow, + doc = node ? node.ownerDocument || node : preferredDoc; + + // Return early if doc is invalid or already selected + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) { + return document; + } + + // Update global variables + document = doc; + docElem = document.documentElement; + documentIsHTML = !isXML( document ); + + // Support: IE 9 - 11+, Edge 12 - 18+ + // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936) + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( preferredDoc != document && + ( subWindow = document.defaultView ) && subWindow.top !== subWindow ) { + + // Support: IE 11, Edge + if ( subWindow.addEventListener ) { + subWindow.addEventListener( "unload", unloadHandler, false ); + + // Support: IE 9 - 10 only + } else if ( subWindow.attachEvent ) { + subWindow.attachEvent( "onunload", unloadHandler ); + } + } + + // Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only, + // Safari 4 - 5 only, Opera <=11.6 - 12.x only + // IE/Edge & older browsers don't support the :scope pseudo-class. + // Support: Safari 6.0 only + // Safari 6.0 supports :scope but it's an alias of :root there. + support.scope = assert( function( el ) { + docElem.appendChild( el ).appendChild( document.createElement( "div" ) ); + return typeof el.querySelectorAll !== "undefined" && + !el.querySelectorAll( ":scope fieldset div" ).length; + } ); + + /* Attributes + ---------------------------------------------------------------------- */ + + // Support: IE<8 + // Verify that getAttribute really returns attributes and not properties + // (excepting IE8 booleans) + support.attributes = assert( function( el ) { + el.className = "i"; + return !el.getAttribute( "className" ); + } ); + + /* getElement(s)By* + ---------------------------------------------------------------------- */ + + // Check if getElementsByTagName("*") returns only elements + support.getElementsByTagName = assert( function( el ) { + el.appendChild( document.createComment( "" ) ); + return !el.getElementsByTagName( "*" ).length; + } ); + + // Support: IE<9 + support.getElementsByClassName = rnative.test( document.getElementsByClassName ); + + // Support: IE<10 + // Check if getElementById returns elements by name + // The broken getElementById methods don't pick up programmatically-set names, + // so use a roundabout getElementsByName test + support.getById = assert( function( el ) { + docElem.appendChild( el ).id = expando; + return !document.getElementsByName || !document.getElementsByName( expando ).length; + } ); + + // ID filter and find + if ( support.getById ) { + Expr.filter[ "ID" ] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + return elem.getAttribute( "id" ) === attrId; + }; + }; + Expr.find[ "ID" ] = function( id, context ) { + if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { + var elem = context.getElementById( id ); + return elem ? [ elem ] : []; + } + }; + } else { + Expr.filter[ "ID" ] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + var node = typeof elem.getAttributeNode !== "undefined" && + elem.getAttributeNode( "id" ); + return node && node.value === attrId; + }; + }; + + // Support: IE 6 - 7 only + // getElementById is not reliable as a find shortcut + Expr.find[ "ID" ] = function( id, context ) { + if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { + var node, i, elems, + elem = context.getElementById( id ); + + if ( elem ) { + + // Verify the id attribute + node = elem.getAttributeNode( "id" ); + if ( node && node.value === id ) { + return [ elem ]; + } + + // Fall back on getElementsByName + elems = context.getElementsByName( id ); + i = 0; + while ( ( elem = elems[ i++ ] ) ) { + node = elem.getAttributeNode( "id" ); + if ( node && node.value === id ) { + return [ elem ]; + } + } + } + + return []; + } + }; + } + + // Tag + Expr.find[ "TAG" ] = support.getElementsByTagName ? + function( tag, context ) { + if ( typeof context.getElementsByTagName !== "undefined" ) { + return context.getElementsByTagName( tag ); + + // DocumentFragment nodes don't have gEBTN + } else if ( support.qsa ) { + return context.querySelectorAll( tag ); + } + } : + + function( tag, context ) { + var elem, + tmp = [], + i = 0, + + // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too + results = context.getElementsByTagName( tag ); + + // Filter out possible comments + if ( tag === "*" ) { + while ( ( elem = results[ i++ ] ) ) { + if ( elem.nodeType === 1 ) { + tmp.push( elem ); + } + } + + return tmp; + } + return results; + }; + + // Class + Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) { + if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) { + return context.getElementsByClassName( className ); + } + }; + + /* QSA/matchesSelector + ---------------------------------------------------------------------- */ + + // QSA and matchesSelector support + + // matchesSelector(:active) reports false when true (IE9/Opera 11.5) + rbuggyMatches = []; + + // qSa(:focus) reports false when true (Chrome 21) + // We allow this because of a bug in IE8/9 that throws an error + // whenever `document.activeElement` is accessed on an iframe + // So, we allow :focus to pass through QSA all the time to avoid the IE error + // See https://bugs.jquery.com/ticket/13378 + rbuggyQSA = []; + + if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) { + + // Build QSA regex + // Regex strategy adopted from Diego Perini + assert( function( el ) { + + var input; + + // Select is set to empty string on purpose + // This is to test IE's treatment of not explicitly + // setting a boolean content attribute, + // since its presence should be enough + // https://bugs.jquery.com/ticket/12359 + docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" + + "<select id='" + expando + "-\r\\' msallowcapture=''>" + + "<option selected=''></option></select>"; + + // Support: IE8, Opera 11-12.16 + // Nothing should be selected when empty strings follow ^= or $= or *= + // The test attribute must be unknown in Opera but "safe" for WinRT + // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section + if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) { + rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); + } + + // Support: IE8 + // Boolean attributes and "value" are not treated correctly + if ( !el.querySelectorAll( "[selected]" ).length ) { + rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); + } + + // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+ + if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) { + rbuggyQSA.push( "~=" ); + } + + // Support: IE 11+, Edge 15 - 18+ + // IE 11/Edge don't find elements on a `[name='']` query in some cases. + // Adding a temporary attribute to the document before the selection works + // around the issue. + // Interestingly, IE 10 & older don't seem to have the issue. + input = document.createElement( "input" ); + input.setAttribute( "name", "" ); + el.appendChild( input ); + if ( !el.querySelectorAll( "[name='']" ).length ) { + rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" + + whitespace + "*(?:''|\"\")" ); + } + + // Webkit/Opera - :checked should return selected option elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + // IE8 throws error here and will not see later tests + if ( !el.querySelectorAll( ":checked" ).length ) { + rbuggyQSA.push( ":checked" ); + } + + // Support: Safari 8+, iOS 8+ + // https://bugs.webkit.org/show_bug.cgi?id=136851 + // In-page `selector#id sibling-combinator selector` fails + if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) { + rbuggyQSA.push( ".#.+[+~]" ); + } + + // Support: Firefox <=3.6 - 5 only + // Old Firefox doesn't throw on a badly-escaped identifier. + el.querySelectorAll( "\\\f" ); + rbuggyQSA.push( "[\\r\\n\\f]" ); + } ); + + assert( function( el ) { + el.innerHTML = "<a href='' disabled='disabled'></a>" + + "<select disabled='disabled'><option/></select>"; + + // Support: Windows 8 Native Apps + // The type and name attributes are restricted during .innerHTML assignment + var input = document.createElement( "input" ); + input.setAttribute( "type", "hidden" ); + el.appendChild( input ).setAttribute( "name", "D" ); + + // Support: IE8 + // Enforce case-sensitivity of name attribute + if ( el.querySelectorAll( "[name=d]" ).length ) { + rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); + } + + // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) + // IE8 throws error here and will not see later tests + if ( el.querySelectorAll( ":enabled" ).length !== 2 ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Support: IE9-11+ + // IE's :disabled selector does not pick up the children of disabled fieldsets + docElem.appendChild( el ).disabled = true; + if ( el.querySelectorAll( ":disabled" ).length !== 2 ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Support: Opera 10 - 11 only + // Opera 10-11 does not throw on post-comma invalid pseudos + el.querySelectorAll( "*,:x" ); + rbuggyQSA.push( ",.*:" ); + } ); + } + + if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches || + docElem.webkitMatchesSelector || + docElem.mozMatchesSelector || + docElem.oMatchesSelector || + docElem.msMatchesSelector ) ) ) ) { + + assert( function( el ) { + + // Check to see if it's possible to do matchesSelector + // on a disconnected node (IE 9) + support.disconnectedMatch = matches.call( el, "*" ); + + // This should fail with an exception + // Gecko does not error, returns false instead + matches.call( el, "[s!='']:x" ); + rbuggyMatches.push( "!=", pseudos ); + } ); + } + + rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) ); + rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) ); + + /* Contains + ---------------------------------------------------------------------- */ + hasCompare = rnative.test( docElem.compareDocumentPosition ); + + // Element contains another + // Purposefully self-exclusive + // As in, an element does not contain itself + contains = hasCompare || rnative.test( docElem.contains ) ? + function( a, b ) { + var adown = a.nodeType === 9 ? a.documentElement : a, + bup = b && b.parentNode; + return a === bup || !!( bup && bup.nodeType === 1 && ( + adown.contains ? + adown.contains( bup ) : + a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 + ) ); + } : + function( a, b ) { + if ( b ) { + while ( ( b = b.parentNode ) ) { + if ( b === a ) { + return true; + } + } + } + return false; + }; + + /* Sorting + ---------------------------------------------------------------------- */ + + // Document order sorting + sortOrder = hasCompare ? + function( a, b ) { + + // Flag for duplicate removal + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + // Sort on method existence if only one input has compareDocumentPosition + var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; + if ( compare ) { + return compare; + } + + // Calculate position if both inputs belong to the same document + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ? + a.compareDocumentPosition( b ) : + + // Otherwise we know they are disconnected + 1; + + // Disconnected nodes + if ( compare & 1 || + ( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) { + + // Choose the first element that is related to our preferred document + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( a == document || a.ownerDocument == preferredDoc && + contains( preferredDoc, a ) ) { + return -1; + } + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( b == document || b.ownerDocument == preferredDoc && + contains( preferredDoc, b ) ) { + return 1; + } + + // Maintain original order + return sortInput ? + ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : + 0; + } + + return compare & 4 ? -1 : 1; + } : + function( a, b ) { + + // Exit early if the nodes are identical + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + var cur, + i = 0, + aup = a.parentNode, + bup = b.parentNode, + ap = [ a ], + bp = [ b ]; + + // Parentless nodes are either documents or disconnected + if ( !aup || !bup ) { + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + /* eslint-disable eqeqeq */ + return a == document ? -1 : + b == document ? 1 : + /* eslint-enable eqeqeq */ + aup ? -1 : + bup ? 1 : + sortInput ? + ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : + 0; + + // If the nodes are siblings, we can do a quick check + } else if ( aup === bup ) { + return siblingCheck( a, b ); + } + + // Otherwise we need full lists of their ancestors for comparison + cur = a; + while ( ( cur = cur.parentNode ) ) { + ap.unshift( cur ); + } + cur = b; + while ( ( cur = cur.parentNode ) ) { + bp.unshift( cur ); + } + + // Walk down the tree looking for a discrepancy + while ( ap[ i ] === bp[ i ] ) { + i++; + } + + return i ? + + // Do a sibling check if the nodes have a common ancestor + siblingCheck( ap[ i ], bp[ i ] ) : + + // Otherwise nodes in our document sort first + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + /* eslint-disable eqeqeq */ + ap[ i ] == preferredDoc ? -1 : + bp[ i ] == preferredDoc ? 1 : + /* eslint-enable eqeqeq */ + 0; + }; + + return document; +}; + +Sizzle.matches = function( expr, elements ) { + return Sizzle( expr, null, null, elements ); +}; + +Sizzle.matchesSelector = function( elem, expr ) { + setDocument( elem ); + + if ( support.matchesSelector && documentIsHTML && + !nonnativeSelectorCache[ expr + " " ] && + ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && + ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { + + try { + var ret = matches.call( elem, expr ); + + // IE 9's matchesSelector returns false on disconnected nodes + if ( ret || support.disconnectedMatch || + + // As well, disconnected nodes are said to be in a document + // fragment in IE 9 + elem.document && elem.document.nodeType !== 11 ) { + return ret; + } + } catch ( e ) { + nonnativeSelectorCache( expr, true ); + } + } + + return Sizzle( expr, document, null, [ elem ] ).length > 0; +}; + +Sizzle.contains = function( context, elem ) { + + // Set document vars if needed + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( ( context.ownerDocument || context ) != document ) { + setDocument( context ); + } + return contains( context, elem ); +}; + +Sizzle.attr = function( elem, name ) { + + // Set document vars if needed + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( ( elem.ownerDocument || elem ) != document ) { + setDocument( elem ); + } + + var fn = Expr.attrHandle[ name.toLowerCase() ], + + // Don't get fooled by Object.prototype properties (jQuery #13807) + val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? + fn( elem, name, !documentIsHTML ) : + undefined; + + return val !== undefined ? + val : + support.attributes || !documentIsHTML ? + elem.getAttribute( name ) : + ( val = elem.getAttributeNode( name ) ) && val.specified ? + val.value : + null; +}; + +Sizzle.escape = function( sel ) { + return ( sel + "" ).replace( rcssescape, fcssescape ); +}; + +Sizzle.error = function( msg ) { + throw new Error( "Syntax error, unrecognized expression: " + msg ); +}; + +/** + * Document sorting and removing duplicates + * @param {ArrayLike} results + */ +Sizzle.uniqueSort = function( results ) { + var elem, + duplicates = [], + j = 0, + i = 0; + + // Unless we *know* we can detect duplicates, assume their presence + hasDuplicate = !support.detectDuplicates; + sortInput = !support.sortStable && results.slice( 0 ); + results.sort( sortOrder ); + + if ( hasDuplicate ) { + while ( ( elem = results[ i++ ] ) ) { + if ( elem === results[ i ] ) { + j = duplicates.push( i ); + } + } + while ( j-- ) { + results.splice( duplicates[ j ], 1 ); + } + } + + // Clear input after sorting to release objects + // See https://github.com/jquery/sizzle/pull/225 + sortInput = null; + + return results; +}; + +/** + * Utility function for retrieving the text value of an array of DOM nodes + * @param {Array|Element} elem + */ +getText = Sizzle.getText = function( elem ) { + var node, + ret = "", + i = 0, + nodeType = elem.nodeType; + + if ( !nodeType ) { + + // If no nodeType, this is expected to be an array + while ( ( node = elem[ i++ ] ) ) { + + // Do not traverse comment nodes + ret += getText( node ); + } + } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { + + // Use textContent for elements + // innerText usage removed for consistency of new lines (jQuery #11153) + if ( typeof elem.textContent === "string" ) { + return elem.textContent; + } else { + + // Traverse its children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + ret += getText( elem ); + } + } + } else if ( nodeType === 3 || nodeType === 4 ) { + return elem.nodeValue; + } + + // Do not include comment or processing instruction nodes + + return ret; +}; + +Expr = Sizzle.selectors = { + + // Can be adjusted by the user + cacheLength: 50, + + createPseudo: markFunction, + + match: matchExpr, + + attrHandle: {}, + + find: {}, + + relative: { + ">": { dir: "parentNode", first: true }, + " ": { dir: "parentNode" }, + "+": { dir: "previousSibling", first: true }, + "~": { dir: "previousSibling" } + }, + + preFilter: { + "ATTR": function( match ) { + match[ 1 ] = match[ 1 ].replace( runescape, funescape ); + + // Move the given value to match[3] whether quoted or unquoted + match[ 3 ] = ( match[ 3 ] || match[ 4 ] || + match[ 5 ] || "" ).replace( runescape, funescape ); + + if ( match[ 2 ] === "~=" ) { + match[ 3 ] = " " + match[ 3 ] + " "; + } + + return match.slice( 0, 4 ); + }, + + "CHILD": function( match ) { + + /* matches from matchExpr["CHILD"] + 1 type (only|nth|...) + 2 what (child|of-type) + 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) + 4 xn-component of xn+y argument ([+-]?\d*n|) + 5 sign of xn-component + 6 x of xn-component + 7 sign of y-component + 8 y of y-component + */ + match[ 1 ] = match[ 1 ].toLowerCase(); + + if ( match[ 1 ].slice( 0, 3 ) === "nth" ) { + + // nth-* requires argument + if ( !match[ 3 ] ) { + Sizzle.error( match[ 0 ] ); + } + + // numeric x and y parameters for Expr.filter.CHILD + // remember that false/true cast respectively to 0/1 + match[ 4 ] = +( match[ 4 ] ? + match[ 5 ] + ( match[ 6 ] || 1 ) : + 2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) ); + match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" ); + + // other types prohibit arguments + } else if ( match[ 3 ] ) { + Sizzle.error( match[ 0 ] ); + } + + return match; + }, + + "PSEUDO": function( match ) { + var excess, + unquoted = !match[ 6 ] && match[ 2 ]; + + if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) { + return null; + } + + // Accept quoted arguments as-is + if ( match[ 3 ] ) { + match[ 2 ] = match[ 4 ] || match[ 5 ] || ""; + + // Strip excess characters from unquoted arguments + } else if ( unquoted && rpseudo.test( unquoted ) && + + // Get excess from tokenize (recursively) + ( excess = tokenize( unquoted, true ) ) && + + // advance to the next closing parenthesis + ( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) { + + // excess is a negative index + match[ 0 ] = match[ 0 ].slice( 0, excess ); + match[ 2 ] = unquoted.slice( 0, excess ); + } + + // Return only captures needed by the pseudo filter method (type and argument) + return match.slice( 0, 3 ); + } + }, + + filter: { + + "TAG": function( nodeNameSelector ) { + var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); + return nodeNameSelector === "*" ? + function() { + return true; + } : + function( elem ) { + return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; + }; + }, + + "CLASS": function( className ) { + var pattern = classCache[ className + " " ]; + + return pattern || + ( pattern = new RegExp( "(^|" + whitespace + + ")" + className + "(" + whitespace + "|$)" ) ) && classCache( + className, function( elem ) { + return pattern.test( + typeof elem.className === "string" && elem.className || + typeof elem.getAttribute !== "undefined" && + elem.getAttribute( "class" ) || + "" + ); + } ); + }, + + "ATTR": function( name, operator, check ) { + return function( elem ) { + var result = Sizzle.attr( elem, name ); + + if ( result == null ) { + return operator === "!="; + } + if ( !operator ) { + return true; + } + + result += ""; + + /* eslint-disable max-len */ + + return operator === "=" ? result === check : + operator === "!=" ? result !== check : + operator === "^=" ? check && result.indexOf( check ) === 0 : + operator === "*=" ? check && result.indexOf( check ) > -1 : + operator === "$=" ? check && result.slice( -check.length ) === check : + operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 : + operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : + false; + /* eslint-enable max-len */ + + }; + }, + + "CHILD": function( type, what, _argument, first, last ) { + var simple = type.slice( 0, 3 ) !== "nth", + forward = type.slice( -4 ) !== "last", + ofType = what === "of-type"; + + return first === 1 && last === 0 ? + + // Shortcut for :nth-*(n) + function( elem ) { + return !!elem.parentNode; + } : + + function( elem, _context, xml ) { + var cache, uniqueCache, outerCache, node, nodeIndex, start, + dir = simple !== forward ? "nextSibling" : "previousSibling", + parent = elem.parentNode, + name = ofType && elem.nodeName.toLowerCase(), + useCache = !xml && !ofType, + diff = false; + + if ( parent ) { + + // :(first|last|only)-(child|of-type) + if ( simple ) { + while ( dir ) { + node = elem; + while ( ( node = node[ dir ] ) ) { + if ( ofType ? + node.nodeName.toLowerCase() === name : + node.nodeType === 1 ) { + + return false; + } + } + + // Reverse direction for :only-* (if we haven't yet done so) + start = dir = type === "only" && !start && "nextSibling"; + } + return true; + } + + start = [ forward ? parent.firstChild : parent.lastChild ]; + + // non-xml :nth-child(...) stores cache data on `parent` + if ( forward && useCache ) { + + // Seek `elem` from a previously-cached index + + // ...in a gzip-friendly way + node = parent; + outerCache = node[ expando ] || ( node[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + ( outerCache[ node.uniqueID ] = {} ); + + cache = uniqueCache[ type ] || []; + nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; + diff = nodeIndex && cache[ 2 ]; + node = nodeIndex && parent.childNodes[ nodeIndex ]; + + while ( ( node = ++nodeIndex && node && node[ dir ] || + + // Fallback to seeking `elem` from the start + ( diff = nodeIndex = 0 ) || start.pop() ) ) { + + // When found, cache indexes on `parent` and break + if ( node.nodeType === 1 && ++diff && node === elem ) { + uniqueCache[ type ] = [ dirruns, nodeIndex, diff ]; + break; + } + } + + } else { + + // Use previously-cached element index if available + if ( useCache ) { + + // ...in a gzip-friendly way + node = elem; + outerCache = node[ expando ] || ( node[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + ( outerCache[ node.uniqueID ] = {} ); + + cache = uniqueCache[ type ] || []; + nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; + diff = nodeIndex; + } + + // xml :nth-child(...) + // or :nth-last-child(...) or :nth(-last)?-of-type(...) + if ( diff === false ) { + + // Use the same loop as above to seek `elem` from the start + while ( ( node = ++nodeIndex && node && node[ dir ] || + ( diff = nodeIndex = 0 ) || start.pop() ) ) { + + if ( ( ofType ? + node.nodeName.toLowerCase() === name : + node.nodeType === 1 ) && + ++diff ) { + + // Cache the index of each encountered element + if ( useCache ) { + outerCache = node[ expando ] || + ( node[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + ( outerCache[ node.uniqueID ] = {} ); + + uniqueCache[ type ] = [ dirruns, diff ]; + } + + if ( node === elem ) { + break; + } + } + } + } + } + + // Incorporate the offset, then check against cycle size + diff -= last; + return diff === first || ( diff % first === 0 && diff / first >= 0 ); + } + }; + }, + + "PSEUDO": function( pseudo, argument ) { + + // pseudo-class names are case-insensitive + // http://www.w3.org/TR/selectors/#pseudo-classes + // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters + // Remember that setFilters inherits from pseudos + var args, + fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || + Sizzle.error( "unsupported pseudo: " + pseudo ); + + // The user may use createPseudo to indicate that + // arguments are needed to create the filter function + // just as Sizzle does + if ( fn[ expando ] ) { + return fn( argument ); + } + + // But maintain support for old signatures + if ( fn.length > 1 ) { + args = [ pseudo, pseudo, "", argument ]; + return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? + markFunction( function( seed, matches ) { + var idx, + matched = fn( seed, argument ), + i = matched.length; + while ( i-- ) { + idx = indexOf( seed, matched[ i ] ); + seed[ idx ] = !( matches[ idx ] = matched[ i ] ); + } + } ) : + function( elem ) { + return fn( elem, 0, args ); + }; + } + + return fn; + } + }, + + pseudos: { + + // Potentially complex pseudos + "not": markFunction( function( selector ) { + + // Trim the selector passed to compile + // to avoid treating leading and trailing + // spaces as combinators + var input = [], + results = [], + matcher = compile( selector.replace( rtrim, "$1" ) ); + + return matcher[ expando ] ? + markFunction( function( seed, matches, _context, xml ) { + var elem, + unmatched = matcher( seed, null, xml, [] ), + i = seed.length; + + // Match elements unmatched by `matcher` + while ( i-- ) { + if ( ( elem = unmatched[ i ] ) ) { + seed[ i ] = !( matches[ i ] = elem ); + } + } + } ) : + function( elem, _context, xml ) { + input[ 0 ] = elem; + matcher( input, null, xml, results ); + + // Don't keep the element (issue #299) + input[ 0 ] = null; + return !results.pop(); + }; + } ), + + "has": markFunction( function( selector ) { + return function( elem ) { + return Sizzle( selector, elem ).length > 0; + }; + } ), + + "contains": markFunction( function( text ) { + text = text.replace( runescape, funescape ); + return function( elem ) { + return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1; + }; + } ), + + // "Whether an element is represented by a :lang() selector + // is based solely on the element's language value + // being equal to the identifier C, + // or beginning with the identifier C immediately followed by "-". + // The matching of C against the element's language value is performed case-insensitively. + // The identifier C does not have to be a valid language name." + // http://www.w3.org/TR/selectors/#lang-pseudo + "lang": markFunction( function( lang ) { + + // lang value must be a valid identifier + if ( !ridentifier.test( lang || "" ) ) { + Sizzle.error( "unsupported lang: " + lang ); + } + lang = lang.replace( runescape, funescape ).toLowerCase(); + return function( elem ) { + var elemLang; + do { + if ( ( elemLang = documentIsHTML ? + elem.lang : + elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) { + + elemLang = elemLang.toLowerCase(); + return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; + } + } while ( ( elem = elem.parentNode ) && elem.nodeType === 1 ); + return false; + }; + } ), + + // Miscellaneous + "target": function( elem ) { + var hash = window.location && window.location.hash; + return hash && hash.slice( 1 ) === elem.id; + }, + + "root": function( elem ) { + return elem === docElem; + }, + + "focus": function( elem ) { + return elem === document.activeElement && + ( !document.hasFocus || document.hasFocus() ) && + !!( elem.type || elem.href || ~elem.tabIndex ); + }, + + // Boolean properties + "enabled": createDisabledPseudo( false ), + "disabled": createDisabledPseudo( true ), + + "checked": function( elem ) { + + // In CSS3, :checked should return both checked and selected elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + var nodeName = elem.nodeName.toLowerCase(); + return ( nodeName === "input" && !!elem.checked ) || + ( nodeName === "option" && !!elem.selected ); + }, + + "selected": function( elem ) { + + // Accessing this property makes selected-by-default + // options in Safari work properly + if ( elem.parentNode ) { + // eslint-disable-next-line no-unused-expressions + elem.parentNode.selectedIndex; + } + + return elem.selected === true; + }, + + // Contents + "empty": function( elem ) { + + // http://www.w3.org/TR/selectors/#empty-pseudo + // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), + // but not by others (comment: 8; processing instruction: 7; etc.) + // nodeType < 6 works because attributes (2) do not appear as children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + if ( elem.nodeType < 6 ) { + return false; + } + } + return true; + }, + + "parent": function( elem ) { + return !Expr.pseudos[ "empty" ]( elem ); + }, + + // Element/input types + "header": function( elem ) { + return rheader.test( elem.nodeName ); + }, + + "input": function( elem ) { + return rinputs.test( elem.nodeName ); + }, + + "button": function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === "button" || name === "button"; + }, + + "text": function( elem ) { + var attr; + return elem.nodeName.toLowerCase() === "input" && + elem.type === "text" && + + // Support: IE<8 + // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" + ( ( attr = elem.getAttribute( "type" ) ) == null || + attr.toLowerCase() === "text" ); + }, + + // Position-in-collection + "first": createPositionalPseudo( function() { + return [ 0 ]; + } ), + + "last": createPositionalPseudo( function( _matchIndexes, length ) { + return [ length - 1 ]; + } ), + + "eq": createPositionalPseudo( function( _matchIndexes, length, argument ) { + return [ argument < 0 ? argument + length : argument ]; + } ), + + "even": createPositionalPseudo( function( matchIndexes, length ) { + var i = 0; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ), + + "odd": createPositionalPseudo( function( matchIndexes, length ) { + var i = 1; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ), + + "lt": createPositionalPseudo( function( matchIndexes, length, argument ) { + var i = argument < 0 ? + argument + length : + argument > length ? + length : + argument; + for ( ; --i >= 0; ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ), + + "gt": createPositionalPseudo( function( matchIndexes, length, argument ) { + var i = argument < 0 ? argument + length : argument; + for ( ; ++i < length; ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ) + } +}; + +Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ]; + +// Add button/input type pseudos +for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { + Expr.pseudos[ i ] = createInputPseudo( i ); +} +for ( i in { submit: true, reset: true } ) { + Expr.pseudos[ i ] = createButtonPseudo( i ); +} + +// Easy API for creating new setFilters +function setFilters() {} +setFilters.prototype = Expr.filters = Expr.pseudos; +Expr.setFilters = new setFilters(); + +tokenize = Sizzle.tokenize = function( selector, parseOnly ) { + var matched, match, tokens, type, + soFar, groups, preFilters, + cached = tokenCache[ selector + " " ]; + + if ( cached ) { + return parseOnly ? 0 : cached.slice( 0 ); + } + + soFar = selector; + groups = []; + preFilters = Expr.preFilter; + + while ( soFar ) { + + // Comma and first run + if ( !matched || ( match = rcomma.exec( soFar ) ) ) { + if ( match ) { + + // Don't consume trailing commas as valid + soFar = soFar.slice( match[ 0 ].length ) || soFar; + } + groups.push( ( tokens = [] ) ); + } + + matched = false; + + // Combinators + if ( ( match = rcombinators.exec( soFar ) ) ) { + matched = match.shift(); + tokens.push( { + value: matched, + + // Cast descendant combinators to space + type: match[ 0 ].replace( rtrim, " " ) + } ); + soFar = soFar.slice( matched.length ); + } + + // Filters + for ( type in Expr.filter ) { + if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] || + ( match = preFilters[ type ]( match ) ) ) ) { + matched = match.shift(); + tokens.push( { + value: matched, + type: type, + matches: match + } ); + soFar = soFar.slice( matched.length ); + } + } + + if ( !matched ) { + break; + } + } + + // Return the length of the invalid excess + // if we're just parsing + // Otherwise, throw an error or return tokens + return parseOnly ? + soFar.length : + soFar ? + Sizzle.error( selector ) : + + // Cache the tokens + tokenCache( selector, groups ).slice( 0 ); +}; + +function toSelector( tokens ) { + var i = 0, + len = tokens.length, + selector = ""; + for ( ; i < len; i++ ) { + selector += tokens[ i ].value; + } + return selector; +} + +function addCombinator( matcher, combinator, base ) { + var dir = combinator.dir, + skip = combinator.next, + key = skip || dir, + checkNonElements = base && key === "parentNode", + doneName = done++; + + return combinator.first ? + + // Check against closest ancestor/preceding element + function( elem, context, xml ) { + while ( ( elem = elem[ dir ] ) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + return matcher( elem, context, xml ); + } + } + return false; + } : + + // Check against all ancestor/preceding elements + function( elem, context, xml ) { + var oldCache, uniqueCache, outerCache, + newCache = [ dirruns, doneName ]; + + // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching + if ( xml ) { + while ( ( elem = elem[ dir ] ) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + if ( matcher( elem, context, xml ) ) { + return true; + } + } + } + } else { + while ( ( elem = elem[ dir ] ) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + outerCache = elem[ expando ] || ( elem[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ elem.uniqueID ] || + ( outerCache[ elem.uniqueID ] = {} ); + + if ( skip && skip === elem.nodeName.toLowerCase() ) { + elem = elem[ dir ] || elem; + } else if ( ( oldCache = uniqueCache[ key ] ) && + oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { + + // Assign to newCache so results back-propagate to previous elements + return ( newCache[ 2 ] = oldCache[ 2 ] ); + } else { + + // Reuse newcache so results back-propagate to previous elements + uniqueCache[ key ] = newCache; + + // A match means we're done; a fail means we have to keep checking + if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) { + return true; + } + } + } + } + } + return false; + }; +} + +function elementMatcher( matchers ) { + return matchers.length > 1 ? + function( elem, context, xml ) { + var i = matchers.length; + while ( i-- ) { + if ( !matchers[ i ]( elem, context, xml ) ) { + return false; + } + } + return true; + } : + matchers[ 0 ]; +} + +function multipleContexts( selector, contexts, results ) { + var i = 0, + len = contexts.length; + for ( ; i < len; i++ ) { + Sizzle( selector, contexts[ i ], results ); + } + return results; +} + +function condense( unmatched, map, filter, context, xml ) { + var elem, + newUnmatched = [], + i = 0, + len = unmatched.length, + mapped = map != null; + + for ( ; i < len; i++ ) { + if ( ( elem = unmatched[ i ] ) ) { + if ( !filter || filter( elem, context, xml ) ) { + newUnmatched.push( elem ); + if ( mapped ) { + map.push( i ); + } + } + } + } + + return newUnmatched; +} + +function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { + if ( postFilter && !postFilter[ expando ] ) { + postFilter = setMatcher( postFilter ); + } + if ( postFinder && !postFinder[ expando ] ) { + postFinder = setMatcher( postFinder, postSelector ); + } + return markFunction( function( seed, results, context, xml ) { + var temp, i, elem, + preMap = [], + postMap = [], + preexisting = results.length, + + // Get initial elements from seed or context + elems = seed || multipleContexts( + selector || "*", + context.nodeType ? [ context ] : context, + [] + ), + + // Prefilter to get matcher input, preserving a map for seed-results synchronization + matcherIn = preFilter && ( seed || !selector ) ? + condense( elems, preMap, preFilter, context, xml ) : + elems, + + matcherOut = matcher ? + + // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, + postFinder || ( seed ? preFilter : preexisting || postFilter ) ? + + // ...intermediate processing is necessary + [] : + + // ...otherwise use results directly + results : + matcherIn; + + // Find primary matches + if ( matcher ) { + matcher( matcherIn, matcherOut, context, xml ); + } + + // Apply postFilter + if ( postFilter ) { + temp = condense( matcherOut, postMap ); + postFilter( temp, [], context, xml ); + + // Un-match failing elements by moving them back to matcherIn + i = temp.length; + while ( i-- ) { + if ( ( elem = temp[ i ] ) ) { + matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem ); + } + } + } + + if ( seed ) { + if ( postFinder || preFilter ) { + if ( postFinder ) { + + // Get the final matcherOut by condensing this intermediate into postFinder contexts + temp = []; + i = matcherOut.length; + while ( i-- ) { + if ( ( elem = matcherOut[ i ] ) ) { + + // Restore matcherIn since elem is not yet a final match + temp.push( ( matcherIn[ i ] = elem ) ); + } + } + postFinder( null, ( matcherOut = [] ), temp, xml ); + } + + // Move matched elements from seed to results to keep them synchronized + i = matcherOut.length; + while ( i-- ) { + if ( ( elem = matcherOut[ i ] ) && + ( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) { + + seed[ temp ] = !( results[ temp ] = elem ); + } + } + } + + // Add elements to results, through postFinder if defined + } else { + matcherOut = condense( + matcherOut === results ? + matcherOut.splice( preexisting, matcherOut.length ) : + matcherOut + ); + if ( postFinder ) { + postFinder( null, results, matcherOut, xml ); + } else { + push.apply( results, matcherOut ); + } + } + } ); +} + +function matcherFromTokens( tokens ) { + var checkContext, matcher, j, + len = tokens.length, + leadingRelative = Expr.relative[ tokens[ 0 ].type ], + implicitRelative = leadingRelative || Expr.relative[ " " ], + i = leadingRelative ? 1 : 0, + + // The foundational matcher ensures that elements are reachable from top-level context(s) + matchContext = addCombinator( function( elem ) { + return elem === checkContext; + }, implicitRelative, true ), + matchAnyContext = addCombinator( function( elem ) { + return indexOf( checkContext, elem ) > -1; + }, implicitRelative, true ), + matchers = [ function( elem, context, xml ) { + var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( + ( checkContext = context ).nodeType ? + matchContext( elem, context, xml ) : + matchAnyContext( elem, context, xml ) ); + + // Avoid hanging onto element (issue #299) + checkContext = null; + return ret; + } ]; + + for ( ; i < len; i++ ) { + if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) { + matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ]; + } else { + matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches ); + + // Return special upon seeing a positional matcher + if ( matcher[ expando ] ) { + + // Find the next relative operator (if any) for proper handling + j = ++i; + for ( ; j < len; j++ ) { + if ( Expr.relative[ tokens[ j ].type ] ) { + break; + } + } + return setMatcher( + i > 1 && elementMatcher( matchers ), + i > 1 && toSelector( + + // If the preceding token was a descendant combinator, insert an implicit any-element `*` + tokens + .slice( 0, i - 1 ) + .concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } ) + ).replace( rtrim, "$1" ), + matcher, + i < j && matcherFromTokens( tokens.slice( i, j ) ), + j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ), + j < len && toSelector( tokens ) + ); + } + matchers.push( matcher ); + } + } + + return elementMatcher( matchers ); +} + +function matcherFromGroupMatchers( elementMatchers, setMatchers ) { + var bySet = setMatchers.length > 0, + byElement = elementMatchers.length > 0, + superMatcher = function( seed, context, xml, results, outermost ) { + var elem, j, matcher, + matchedCount = 0, + i = "0", + unmatched = seed && [], + setMatched = [], + contextBackup = outermostContext, + + // We must always have either seed elements or outermost context + elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ), + + // Use integer dirruns iff this is the outermost matcher + dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ), + len = elems.length; + + if ( outermost ) { + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + outermostContext = context == document || context || outermost; + } + + // Add elements passing elementMatchers directly to results + // Support: IE<9, Safari + // Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id + for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) { + if ( byElement && elem ) { + j = 0; + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( !context && elem.ownerDocument != document ) { + setDocument( elem ); + xml = !documentIsHTML; + } + while ( ( matcher = elementMatchers[ j++ ] ) ) { + if ( matcher( elem, context || document, xml ) ) { + results.push( elem ); + break; + } + } + if ( outermost ) { + dirruns = dirrunsUnique; + } + } + + // Track unmatched elements for set filters + if ( bySet ) { + + // They will have gone through all possible matchers + if ( ( elem = !matcher && elem ) ) { + matchedCount--; + } + + // Lengthen the array for every element, matched or not + if ( seed ) { + unmatched.push( elem ); + } + } + } + + // `i` is now the count of elements visited above, and adding it to `matchedCount` + // makes the latter nonnegative. + matchedCount += i; + + // Apply set filters to unmatched elements + // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount` + // equals `i`), unless we didn't visit _any_ elements in the above loop because we have + // no element matchers and no seed. + // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that + // case, which will result in a "00" `matchedCount` that differs from `i` but is also + // numerically zero. + if ( bySet && i !== matchedCount ) { + j = 0; + while ( ( matcher = setMatchers[ j++ ] ) ) { + matcher( unmatched, setMatched, context, xml ); + } + + if ( seed ) { + + // Reintegrate element matches to eliminate the need for sorting + if ( matchedCount > 0 ) { + while ( i-- ) { + if ( !( unmatched[ i ] || setMatched[ i ] ) ) { + setMatched[ i ] = pop.call( results ); + } + } + } + + // Discard index placeholder values to get only actual matches + setMatched = condense( setMatched ); + } + + // Add matches to results + push.apply( results, setMatched ); + + // Seedless set matches succeeding multiple successful matchers stipulate sorting + if ( outermost && !seed && setMatched.length > 0 && + ( matchedCount + setMatchers.length ) > 1 ) { + + Sizzle.uniqueSort( results ); + } + } + + // Override manipulation of globals by nested matchers + if ( outermost ) { + dirruns = dirrunsUnique; + outermostContext = contextBackup; + } + + return unmatched; + }; + + return bySet ? + markFunction( superMatcher ) : + superMatcher; +} + +compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { + var i, + setMatchers = [], + elementMatchers = [], + cached = compilerCache[ selector + " " ]; + + if ( !cached ) { + + // Generate a function of recursive functions that can be used to check each element + if ( !match ) { + match = tokenize( selector ); + } + i = match.length; + while ( i-- ) { + cached = matcherFromTokens( match[ i ] ); + if ( cached[ expando ] ) { + setMatchers.push( cached ); + } else { + elementMatchers.push( cached ); + } + } + + // Cache the compiled function + cached = compilerCache( + selector, + matcherFromGroupMatchers( elementMatchers, setMatchers ) + ); + + // Save selector and tokenization + cached.selector = selector; + } + return cached; +}; + +/** + * A low-level selection function that works with Sizzle's compiled + * selector functions + * @param {String|Function} selector A selector or a pre-compiled + * selector function built with Sizzle.compile + * @param {Element} context + * @param {Array} [results] + * @param {Array} [seed] A set of elements to match against + */ +select = Sizzle.select = function( selector, context, results, seed ) { + var i, tokens, token, type, find, + compiled = typeof selector === "function" && selector, + match = !seed && tokenize( ( selector = compiled.selector || selector ) ); + + results = results || []; + + // Try to minimize operations if there is only one selector in the list and no seed + // (the latter of which guarantees us context) + if ( match.length === 1 ) { + + // Reduce context if the leading compound selector is an ID + tokens = match[ 0 ] = match[ 0 ].slice( 0 ); + if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" && + context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) { + + context = ( Expr.find[ "ID" ]( token.matches[ 0 ] + .replace( runescape, funescape ), context ) || [] )[ 0 ]; + if ( !context ) { + return results; + + // Precompiled matchers will still verify ancestry, so step up a level + } else if ( compiled ) { + context = context.parentNode; + } + + selector = selector.slice( tokens.shift().value.length ); + } + + // Fetch a seed set for right-to-left matching + i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length; + while ( i-- ) { + token = tokens[ i ]; + + // Abort if we hit a combinator + if ( Expr.relative[ ( type = token.type ) ] ) { + break; + } + if ( ( find = Expr.find[ type ] ) ) { + + // Search, expanding context for leading sibling combinators + if ( ( seed = find( + token.matches[ 0 ].replace( runescape, funescape ), + rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) || + context + ) ) ) { + + // If seed is empty or no tokens remain, we can return early + tokens.splice( i, 1 ); + selector = seed.length && toSelector( tokens ); + if ( !selector ) { + push.apply( results, seed ); + return results; + } + + break; + } + } + } + } + + // Compile and execute a filtering function if one is not provided + // Provide `match` to avoid retokenization if we modified the selector above + ( compiled || compile( selector, match ) )( + seed, + context, + !documentIsHTML, + results, + !context || rsibling.test( selector ) && testContext( context.parentNode ) || context + ); + return results; +}; + +// One-time assignments + +// Sort stability +support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando; + +// Support: Chrome 14-35+ +// Always assume duplicates if they aren't passed to the comparison function +support.detectDuplicates = !!hasDuplicate; + +// Initialize against the default document +setDocument(); + +// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) +// Detached nodes confoundingly follow *each other* +support.sortDetached = assert( function( el ) { + + // Should return 1, but returns 4 (following) + return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1; +} ); + +// Support: IE<8 +// Prevent attribute/property "interpolation" +// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx +if ( !assert( function( el ) { + el.innerHTML = "<a href='#'></a>"; + return el.firstChild.getAttribute( "href" ) === "#"; +} ) ) { + addHandle( "type|href|height|width", function( elem, name, isXML ) { + if ( !isXML ) { + return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); + } + } ); +} + +// Support: IE<9 +// Use defaultValue in place of getAttribute("value") +if ( !support.attributes || !assert( function( el ) { + el.innerHTML = "<input/>"; + el.firstChild.setAttribute( "value", "" ); + return el.firstChild.getAttribute( "value" ) === ""; +} ) ) { + addHandle( "value", function( elem, _name, isXML ) { + if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { + return elem.defaultValue; + } + } ); +} + +// Support: IE<9 +// Use getAttributeNode to fetch booleans when getAttribute lies +if ( !assert( function( el ) { + return el.getAttribute( "disabled" ) == null; +} ) ) { + addHandle( booleans, function( elem, name, isXML ) { + var val; + if ( !isXML ) { + return elem[ name ] === true ? name.toLowerCase() : + ( val = elem.getAttributeNode( name ) ) && val.specified ? + val.value : + null; + } + } ); +} + +return Sizzle; + +} )( window ); + + + +jQuery.find = Sizzle; +jQuery.expr = Sizzle.selectors; + +// Deprecated +jQuery.expr[ ":" ] = jQuery.expr.pseudos; +jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort; +jQuery.text = Sizzle.getText; +jQuery.isXMLDoc = Sizzle.isXML; +jQuery.contains = Sizzle.contains; +jQuery.escapeSelector = Sizzle.escape; + + + + +var dir = function( elem, dir, until ) { + var matched = [], + truncate = until !== undefined; + + while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) { + if ( elem.nodeType === 1 ) { + if ( truncate && jQuery( elem ).is( until ) ) { + break; + } + matched.push( elem ); + } + } + return matched; +}; + + +var siblings = function( n, elem ) { + var matched = []; + + for ( ; n; n = n.nextSibling ) { + if ( n.nodeType === 1 && n !== elem ) { + matched.push( n ); + } + } + + return matched; +}; + + +var rneedsContext = jQuery.expr.match.needsContext; + + + +function nodeName( elem, name ) { + + return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); + +}; +var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i ); + + + +// Implement the identical functionality for filter and not +function winnow( elements, qualifier, not ) { + if ( isFunction( qualifier ) ) { + return jQuery.grep( elements, function( elem, i ) { + return !!qualifier.call( elem, i, elem ) !== not; + } ); + } + + // Single element + if ( qualifier.nodeType ) { + return jQuery.grep( elements, function( elem ) { + return ( elem === qualifier ) !== not; + } ); + } + + // Arraylike of elements (jQuery, arguments, Array) + if ( typeof qualifier !== "string" ) { + return jQuery.grep( elements, function( elem ) { + return ( indexOf.call( qualifier, elem ) > -1 ) !== not; + } ); + } + + // Filtered directly for both simple and complex selectors + return jQuery.filter( qualifier, elements, not ); +} + +jQuery.filter = function( expr, elems, not ) { + var elem = elems[ 0 ]; + + if ( not ) { + expr = ":not(" + expr + ")"; + } + + if ( elems.length === 1 && elem.nodeType === 1 ) { + return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : []; + } + + return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { + return elem.nodeType === 1; + } ) ); +}; + +jQuery.fn.extend( { + find: function( selector ) { + var i, ret, + len = this.length, + self = this; + + if ( typeof selector !== "string" ) { + return this.pushStack( jQuery( selector ).filter( function() { + for ( i = 0; i < len; i++ ) { + if ( jQuery.contains( self[ i ], this ) ) { + return true; + } + } + } ) ); + } + + ret = this.pushStack( [] ); + + for ( i = 0; i < len; i++ ) { + jQuery.find( selector, self[ i ], ret ); + } + + return len > 1 ? jQuery.uniqueSort( ret ) : ret; + }, + filter: function( selector ) { + return this.pushStack( winnow( this, selector || [], false ) ); + }, + not: function( selector ) { + return this.pushStack( winnow( this, selector || [], true ) ); + }, + is: function( selector ) { + return !!winnow( + this, + + // If this is a positional/relative selector, check membership in the returned set + // so $("p:first").is("p:last") won't return true for a doc with two "p". + typeof selector === "string" && rneedsContext.test( selector ) ? + jQuery( selector ) : + selector || [], + false + ).length; + } +} ); + + +// Initialize a jQuery object + + +// A central reference to the root jQuery(document) +var rootjQuery, + + // A simple way to check for HTML strings + // Prioritize #id over <tag> to avoid XSS via location.hash (#9521) + // Strict HTML recognition (#11290: must start with <) + // Shortcut simple #id case for speed + rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/, + + init = jQuery.fn.init = function( selector, context, root ) { + var match, elem; + + // HANDLE: $(""), $(null), $(undefined), $(false) + if ( !selector ) { + return this; + } + + // Method init() accepts an alternate rootjQuery + // so migrate can support jQuery.sub (gh-2101) + root = root || rootjQuery; + + // Handle HTML strings + if ( typeof selector === "string" ) { + if ( selector[ 0 ] === "<" && + selector[ selector.length - 1 ] === ">" && + selector.length >= 3 ) { + + // Assume that strings that start and end with <> are HTML and skip the regex check + match = [ null, selector, null ]; + + } else { + match = rquickExpr.exec( selector ); + } + + // Match html or make sure no context is specified for #id + if ( match && ( match[ 1 ] || !context ) ) { + + // HANDLE: $(html) -> $(array) + if ( match[ 1 ] ) { + context = context instanceof jQuery ? context[ 0 ] : context; + + // Option to run scripts is true for back-compat + // Intentionally let the error be thrown if parseHTML is not present + jQuery.merge( this, jQuery.parseHTML( + match[ 1 ], + context && context.nodeType ? context.ownerDocument || context : document, + true + ) ); + + // HANDLE: $(html, props) + if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) { + for ( match in context ) { + + // Properties of context are called as methods if possible + if ( isFunction( this[ match ] ) ) { + this[ match ]( context[ match ] ); + + // ...and otherwise set as attributes + } else { + this.attr( match, context[ match ] ); + } + } + } + + return this; + + // HANDLE: $(#id) + } else { + elem = document.getElementById( match[ 2 ] ); + + if ( elem ) { + + // Inject the element directly into the jQuery object + this[ 0 ] = elem; + this.length = 1; + } + return this; + } + + // HANDLE: $(expr, $(...)) + } else if ( !context || context.jquery ) { + return ( context || root ).find( selector ); + + // HANDLE: $(expr, context) + // (which is just equivalent to: $(context).find(expr) + } else { + return this.constructor( context ).find( selector ); + } + + // HANDLE: $(DOMElement) + } else if ( selector.nodeType ) { + this[ 0 ] = selector; + this.length = 1; + return this; + + // HANDLE: $(function) + // Shortcut for document ready + } else if ( isFunction( selector ) ) { + return root.ready !== undefined ? + root.ready( selector ) : + + // Execute immediately if ready is not present + selector( jQuery ); + } + + return jQuery.makeArray( selector, this ); + }; + +// Give the init function the jQuery prototype for later instantiation +init.prototype = jQuery.fn; + +// Initialize central reference +rootjQuery = jQuery( document ); + + +var rparentsprev = /^(?:parents|prev(?:Until|All))/, + + // Methods guaranteed to produce a unique set when starting from a unique set + guaranteedUnique = { + children: true, + contents: true, + next: true, + prev: true + }; + +jQuery.fn.extend( { + has: function( target ) { + var targets = jQuery( target, this ), + l = targets.length; + + return this.filter( function() { + var i = 0; + for ( ; i < l; i++ ) { + if ( jQuery.contains( this, targets[ i ] ) ) { + return true; + } + } + } ); + }, + + closest: function( selectors, context ) { + var cur, + i = 0, + l = this.length, + matched = [], + targets = typeof selectors !== "string" && jQuery( selectors ); + + // Positional selectors never match, since there's no _selection_ context + if ( !rneedsContext.test( selectors ) ) { + for ( ; i < l; i++ ) { + for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) { + + // Always skip document fragments + if ( cur.nodeType < 11 && ( targets ? + targets.index( cur ) > -1 : + + // Don't pass non-elements to Sizzle + cur.nodeType === 1 && + jQuery.find.matchesSelector( cur, selectors ) ) ) { + + matched.push( cur ); + break; + } + } + } + } + + return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched ); + }, + + // Determine the position of an element within the set + index: function( elem ) { + + // No argument, return index in parent + if ( !elem ) { + return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; + } + + // Index in selector + if ( typeof elem === "string" ) { + return indexOf.call( jQuery( elem ), this[ 0 ] ); + } + + // Locate the position of the desired element + return indexOf.call( this, + + // If it receives a jQuery object, the first element is used + elem.jquery ? elem[ 0 ] : elem + ); + }, + + add: function( selector, context ) { + return this.pushStack( + jQuery.uniqueSort( + jQuery.merge( this.get(), jQuery( selector, context ) ) + ) + ); + }, + + addBack: function( selector ) { + return this.add( selector == null ? + this.prevObject : this.prevObject.filter( selector ) + ); + } +} ); + +function sibling( cur, dir ) { + while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {} + return cur; +} + +jQuery.each( { + parent: function( elem ) { + var parent = elem.parentNode; + return parent && parent.nodeType !== 11 ? parent : null; + }, + parents: function( elem ) { + return dir( elem, "parentNode" ); + }, + parentsUntil: function( elem, _i, until ) { + return dir( elem, "parentNode", until ); + }, + next: function( elem ) { + return sibling( elem, "nextSibling" ); + }, + prev: function( elem ) { + return sibling( elem, "previousSibling" ); + }, + nextAll: function( elem ) { + return dir( elem, "nextSibling" ); + }, + prevAll: function( elem ) { + return dir( elem, "previousSibling" ); + }, + nextUntil: function( elem, _i, until ) { + return dir( elem, "nextSibling", until ); + }, + prevUntil: function( elem, _i, until ) { + return dir( elem, "previousSibling", until ); + }, + siblings: function( elem ) { + return siblings( ( elem.parentNode || {} ).firstChild, elem ); + }, + children: function( elem ) { + return siblings( elem.firstChild ); + }, + contents: function( elem ) { + if ( elem.contentDocument != null && + + // Support: IE 11+ + // <object> elements with no `data` attribute has an object + // `contentDocument` with a `null` prototype. + getProto( elem.contentDocument ) ) { + + return elem.contentDocument; + } + + // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only + // Treat the template element as a regular one in browsers that + // don't support it. + if ( nodeName( elem, "template" ) ) { + elem = elem.content || elem; + } + + return jQuery.merge( [], elem.childNodes ); + } +}, function( name, fn ) { + jQuery.fn[ name ] = function( until, selector ) { + var matched = jQuery.map( this, fn, until ); + + if ( name.slice( -5 ) !== "Until" ) { + selector = until; + } + + if ( selector && typeof selector === "string" ) { + matched = jQuery.filter( selector, matched ); + } + + if ( this.length > 1 ) { + + // Remove duplicates + if ( !guaranteedUnique[ name ] ) { + jQuery.uniqueSort( matched ); + } + + // Reverse order for parents* and prev-derivatives + if ( rparentsprev.test( name ) ) { + matched.reverse(); + } + } + + return this.pushStack( matched ); + }; +} ); +var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g ); + + + +// Convert String-formatted options into Object-formatted ones +function createOptions( options ) { + var object = {}; + jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) { + object[ flag ] = true; + } ); + return object; +} + +/* + * Create a callback list using the following parameters: + * + * options: an optional list of space-separated options that will change how + * the callback list behaves or a more traditional option object + * + * By default a callback list will act like an event callback list and can be + * "fired" multiple times. + * + * Possible options: + * + * once: will ensure the callback list can only be fired once (like a Deferred) + * + * memory: will keep track of previous values and will call any callback added + * after the list has been fired right away with the latest "memorized" + * values (like a Deferred) + * + * unique: will ensure a callback can only be added once (no duplicate in the list) + * + * stopOnFalse: interrupt callings when a callback returns false + * + */ +jQuery.Callbacks = function( options ) { + + // Convert options from String-formatted to Object-formatted if needed + // (we check in cache first) + options = typeof options === "string" ? + createOptions( options ) : + jQuery.extend( {}, options ); + + var // Flag to know if list is currently firing + firing, + + // Last fire value for non-forgettable lists + memory, + + // Flag to know if list was already fired + fired, + + // Flag to prevent firing + locked, + + // Actual callback list + list = [], + + // Queue of execution data for repeatable lists + queue = [], + + // Index of currently firing callback (modified by add/remove as needed) + firingIndex = -1, + + // Fire callbacks + fire = function() { + + // Enforce single-firing + locked = locked || options.once; + + // Execute callbacks for all pending executions, + // respecting firingIndex overrides and runtime changes + fired = firing = true; + for ( ; queue.length; firingIndex = -1 ) { + memory = queue.shift(); + while ( ++firingIndex < list.length ) { + + // Run callback and check for early termination + if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false && + options.stopOnFalse ) { + + // Jump to end and forget the data so .add doesn't re-fire + firingIndex = list.length; + memory = false; + } + } + } + + // Forget the data if we're done with it + if ( !options.memory ) { + memory = false; + } + + firing = false; + + // Clean up if we're done firing for good + if ( locked ) { + + // Keep an empty list if we have data for future add calls + if ( memory ) { + list = []; + + // Otherwise, this object is spent + } else { + list = ""; + } + } + }, + + // Actual Callbacks object + self = { + + // Add a callback or a collection of callbacks to the list + add: function() { + if ( list ) { + + // If we have memory from a past run, we should fire after adding + if ( memory && !firing ) { + firingIndex = list.length - 1; + queue.push( memory ); + } + + ( function add( args ) { + jQuery.each( args, function( _, arg ) { + if ( isFunction( arg ) ) { + if ( !options.unique || !self.has( arg ) ) { + list.push( arg ); + } + } else if ( arg && arg.length && toType( arg ) !== "string" ) { + + // Inspect recursively + add( arg ); + } + } ); + } )( arguments ); + + if ( memory && !firing ) { + fire(); + } + } + return this; + }, + + // Remove a callback from the list + remove: function() { + jQuery.each( arguments, function( _, arg ) { + var index; + while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { + list.splice( index, 1 ); + + // Handle firing indexes + if ( index <= firingIndex ) { + firingIndex--; + } + } + } ); + return this; + }, + + // Check if a given callback is in the list. + // If no argument is given, return whether or not list has callbacks attached. + has: function( fn ) { + return fn ? + jQuery.inArray( fn, list ) > -1 : + list.length > 0; + }, + + // Remove all callbacks from the list + empty: function() { + if ( list ) { + list = []; + } + return this; + }, + + // Disable .fire and .add + // Abort any current/pending executions + // Clear all callbacks and values + disable: function() { + locked = queue = []; + list = memory = ""; + return this; + }, + disabled: function() { + return !list; + }, + + // Disable .fire + // Also disable .add unless we have memory (since it would have no effect) + // Abort any pending executions + lock: function() { + locked = queue = []; + if ( !memory && !firing ) { + list = memory = ""; + } + return this; + }, + locked: function() { + return !!locked; + }, + + // Call all callbacks with the given context and arguments + fireWith: function( context, args ) { + if ( !locked ) { + args = args || []; + args = [ context, args.slice ? args.slice() : args ]; + queue.push( args ); + if ( !firing ) { + fire(); + } + } + return this; + }, + + // Call all the callbacks with the given arguments + fire: function() { + self.fireWith( this, arguments ); + return this; + }, + + // To know if the callbacks have already been called at least once + fired: function() { + return !!fired; + } + }; + + return self; +}; + + +function Identity( v ) { + return v; +} +function Thrower( ex ) { + throw ex; +} + +function adoptValue( value, resolve, reject, noValue ) { + var method; + + try { + + // Check for promise aspect first to privilege synchronous behavior + if ( value && isFunction( ( method = value.promise ) ) ) { + method.call( value ).done( resolve ).fail( reject ); + + // Other thenables + } else if ( value && isFunction( ( method = value.then ) ) ) { + method.call( value, resolve, reject ); + + // Other non-thenables + } else { + + // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer: + // * false: [ value ].slice( 0 ) => resolve( value ) + // * true: [ value ].slice( 1 ) => resolve() + resolve.apply( undefined, [ value ].slice( noValue ) ); + } + + // For Promises/A+, convert exceptions into rejections + // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in + // Deferred#then to conditionally suppress rejection. + } catch ( value ) { + + // Support: Android 4.0 only + // Strict mode functions invoked without .call/.apply get global-object context + reject.apply( undefined, [ value ] ); + } +} + +jQuery.extend( { + + Deferred: function( func ) { + var tuples = [ + + // action, add listener, callbacks, + // ... .then handlers, argument index, [final state] + [ "notify", "progress", jQuery.Callbacks( "memory" ), + jQuery.Callbacks( "memory" ), 2 ], + [ "resolve", "done", jQuery.Callbacks( "once memory" ), + jQuery.Callbacks( "once memory" ), 0, "resolved" ], + [ "reject", "fail", jQuery.Callbacks( "once memory" ), + jQuery.Callbacks( "once memory" ), 1, "rejected" ] + ], + state = "pending", + promise = { + state: function() { + return state; + }, + always: function() { + deferred.done( arguments ).fail( arguments ); + return this; + }, + "catch": function( fn ) { + return promise.then( null, fn ); + }, + + // Keep pipe for back-compat + pipe: function( /* fnDone, fnFail, fnProgress */ ) { + var fns = arguments; + + return jQuery.Deferred( function( newDefer ) { + jQuery.each( tuples, function( _i, tuple ) { + + // Map tuples (progress, done, fail) to arguments (done, fail, progress) + var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; + + // deferred.progress(function() { bind to newDefer or newDefer.notify }) + // deferred.done(function() { bind to newDefer or newDefer.resolve }) + // deferred.fail(function() { bind to newDefer or newDefer.reject }) + deferred[ tuple[ 1 ] ]( function() { + var returned = fn && fn.apply( this, arguments ); + if ( returned && isFunction( returned.promise ) ) { + returned.promise() + .progress( newDefer.notify ) + .done( newDefer.resolve ) + .fail( newDefer.reject ); + } else { + newDefer[ tuple[ 0 ] + "With" ]( + this, + fn ? [ returned ] : arguments + ); + } + } ); + } ); + fns = null; + } ).promise(); + }, + then: function( onFulfilled, onRejected, onProgress ) { + var maxDepth = 0; + function resolve( depth, deferred, handler, special ) { + return function() { + var that = this, + args = arguments, + mightThrow = function() { + var returned, then; + + // Support: Promises/A+ section 2.3.3.3.3 + // https://promisesaplus.com/#point-59 + // Ignore double-resolution attempts + if ( depth < maxDepth ) { + return; + } + + returned = handler.apply( that, args ); + + // Support: Promises/A+ section 2.3.1 + // https://promisesaplus.com/#point-48 + if ( returned === deferred.promise() ) { + throw new TypeError( "Thenable self-resolution" ); + } + + // Support: Promises/A+ sections 2.3.3.1, 3.5 + // https://promisesaplus.com/#point-54 + // https://promisesaplus.com/#point-75 + // Retrieve `then` only once + then = returned && + + // Support: Promises/A+ section 2.3.4 + // https://promisesaplus.com/#point-64 + // Only check objects and functions for thenability + ( typeof returned === "object" || + typeof returned === "function" ) && + returned.then; + + // Handle a returned thenable + if ( isFunction( then ) ) { + + // Special processors (notify) just wait for resolution + if ( special ) { + then.call( + returned, + resolve( maxDepth, deferred, Identity, special ), + resolve( maxDepth, deferred, Thrower, special ) + ); + + // Normal processors (resolve) also hook into progress + } else { + + // ...and disregard older resolution values + maxDepth++; + + then.call( + returned, + resolve( maxDepth, deferred, Identity, special ), + resolve( maxDepth, deferred, Thrower, special ), + resolve( maxDepth, deferred, Identity, + deferred.notifyWith ) + ); + } + + // Handle all other returned values + } else { + + // Only substitute handlers pass on context + // and multiple values (non-spec behavior) + if ( handler !== Identity ) { + that = undefined; + args = [ returned ]; + } + + // Process the value(s) + // Default process is resolve + ( special || deferred.resolveWith )( that, args ); + } + }, + + // Only normal processors (resolve) catch and reject exceptions + process = special ? + mightThrow : + function() { + try { + mightThrow(); + } catch ( e ) { + + if ( jQuery.Deferred.exceptionHook ) { + jQuery.Deferred.exceptionHook( e, + process.stackTrace ); + } + + // Support: Promises/A+ section 2.3.3.3.4.1 + // https://promisesaplus.com/#point-61 + // Ignore post-resolution exceptions + if ( depth + 1 >= maxDepth ) { + + // Only substitute handlers pass on context + // and multiple values (non-spec behavior) + if ( handler !== Thrower ) { + that = undefined; + args = [ e ]; + } + + deferred.rejectWith( that, args ); + } + } + }; + + // Support: Promises/A+ section 2.3.3.3.1 + // https://promisesaplus.com/#point-57 + // Re-resolve promises immediately to dodge false rejection from + // subsequent errors + if ( depth ) { + process(); + } else { + + // Call an optional hook to record the stack, in case of exception + // since it's otherwise lost when execution goes async + if ( jQuery.Deferred.getStackHook ) { + process.stackTrace = jQuery.Deferred.getStackHook(); + } + window.setTimeout( process ); + } + }; + } + + return jQuery.Deferred( function( newDefer ) { + + // progress_handlers.add( ... ) + tuples[ 0 ][ 3 ].add( + resolve( + 0, + newDefer, + isFunction( onProgress ) ? + onProgress : + Identity, + newDefer.notifyWith + ) + ); + + // fulfilled_handlers.add( ... ) + tuples[ 1 ][ 3 ].add( + resolve( + 0, + newDefer, + isFunction( onFulfilled ) ? + onFulfilled : + Identity + ) + ); + + // rejected_handlers.add( ... ) + tuples[ 2 ][ 3 ].add( + resolve( + 0, + newDefer, + isFunction( onRejected ) ? + onRejected : + Thrower + ) + ); + } ).promise(); + }, + + // Get a promise for this deferred + // If obj is provided, the promise aspect is added to the object + promise: function( obj ) { + return obj != null ? jQuery.extend( obj, promise ) : promise; + } + }, + deferred = {}; + + // Add list-specific methods + jQuery.each( tuples, function( i, tuple ) { + var list = tuple[ 2 ], + stateString = tuple[ 5 ]; + + // promise.progress = list.add + // promise.done = list.add + // promise.fail = list.add + promise[ tuple[ 1 ] ] = list.add; + + // Handle state + if ( stateString ) { + list.add( + function() { + + // state = "resolved" (i.e., fulfilled) + // state = "rejected" + state = stateString; + }, + + // rejected_callbacks.disable + // fulfilled_callbacks.disable + tuples[ 3 - i ][ 2 ].disable, + + // rejected_handlers.disable + // fulfilled_handlers.disable + tuples[ 3 - i ][ 3 ].disable, + + // progress_callbacks.lock + tuples[ 0 ][ 2 ].lock, + + // progress_handlers.lock + tuples[ 0 ][ 3 ].lock + ); + } + + // progress_handlers.fire + // fulfilled_handlers.fire + // rejected_handlers.fire + list.add( tuple[ 3 ].fire ); + + // deferred.notify = function() { deferred.notifyWith(...) } + // deferred.resolve = function() { deferred.resolveWith(...) } + // deferred.reject = function() { deferred.rejectWith(...) } + deferred[ tuple[ 0 ] ] = function() { + deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments ); + return this; + }; + + // deferred.notifyWith = list.fireWith + // deferred.resolveWith = list.fireWith + // deferred.rejectWith = list.fireWith + deferred[ tuple[ 0 ] + "With" ] = list.fireWith; + } ); + + // Make the deferred a promise + promise.promise( deferred ); + + // Call given func if any + if ( func ) { + func.call( deferred, deferred ); + } + + // All done! + return deferred; + }, + + // Deferred helper + when: function( singleValue ) { + var + + // count of uncompleted subordinates + remaining = arguments.length, + + // count of unprocessed arguments + i = remaining, + + // subordinate fulfillment data + resolveContexts = Array( i ), + resolveValues = slice.call( arguments ), + + // the master Deferred + master = jQuery.Deferred(), + + // subordinate callback factory + updateFunc = function( i ) { + return function( value ) { + resolveContexts[ i ] = this; + resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; + if ( !( --remaining ) ) { + master.resolveWith( resolveContexts, resolveValues ); + } + }; + }; + + // Single- and empty arguments are adopted like Promise.resolve + if ( remaining <= 1 ) { + adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject, + !remaining ); + + // Use .then() to unwrap secondary thenables (cf. gh-3000) + if ( master.state() === "pending" || + isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { + + return master.then(); + } + } + + // Multiple arguments are aggregated like Promise.all array elements + while ( i-- ) { + adoptValue( resolveValues[ i ], updateFunc( i ), master.reject ); + } + + return master.promise(); + } +} ); + + +// These usually indicate a programmer mistake during development, +// warn about them ASAP rather than swallowing them by default. +var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/; + +jQuery.Deferred.exceptionHook = function( error, stack ) { + + // Support: IE 8 - 9 only + // Console exists when dev tools are open, which can happen at any time + if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) { + window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack ); + } +}; + + + + +jQuery.readyException = function( error ) { + window.setTimeout( function() { + throw error; + } ); +}; + + + + +// The deferred used on DOM ready +var readyList = jQuery.Deferred(); + +jQuery.fn.ready = function( fn ) { + + readyList + .then( fn ) + + // Wrap jQuery.readyException in a function so that the lookup + // happens at the time of error handling instead of callback + // registration. + .catch( function( error ) { + jQuery.readyException( error ); + } ); + + return this; +}; + +jQuery.extend( { + + // Is the DOM ready to be used? Set to true once it occurs. + isReady: false, + + // A counter to track how many items to wait for before + // the ready event fires. See #6781 + readyWait: 1, + + // Handle when the DOM is ready + ready: function( wait ) { + + // Abort if there are pending holds or we're already ready + if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { + return; + } + + // Remember that the DOM is ready + jQuery.isReady = true; + + // If a normal DOM Ready event fired, decrement, and wait if need be + if ( wait !== true && --jQuery.readyWait > 0 ) { + return; + } + + // If there are functions bound, to execute + readyList.resolveWith( document, [ jQuery ] ); + } +} ); + +jQuery.ready.then = readyList.then; + +// The ready event handler and self cleanup method +function completed() { + document.removeEventListener( "DOMContentLoaded", completed ); + window.removeEventListener( "load", completed ); + jQuery.ready(); +} + +// Catch cases where $(document).ready() is called +// after the browser event has already occurred. +// Support: IE <=9 - 10 only +// Older IE sometimes signals "interactive" too soon +if ( document.readyState === "complete" || + ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) { + + // Handle it asynchronously to allow scripts the opportunity to delay ready + window.setTimeout( jQuery.ready ); + +} else { + + // Use the handy event callback + document.addEventListener( "DOMContentLoaded", completed ); + + // A fallback to window.onload, that will always work + window.addEventListener( "load", completed ); +} + + + + +// Multifunctional method to get and set values of a collection +// The value/s can optionally be executed if it's a function +var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { + var i = 0, + len = elems.length, + bulk = key == null; + + // Sets many values + if ( toType( key ) === "object" ) { + chainable = true; + for ( i in key ) { + access( elems, fn, i, key[ i ], true, emptyGet, raw ); + } + + // Sets one value + } else if ( value !== undefined ) { + chainable = true; + + if ( !isFunction( value ) ) { + raw = true; + } + + if ( bulk ) { + + // Bulk operations run against the entire set + if ( raw ) { + fn.call( elems, value ); + fn = null; + + // ...except when executing function values + } else { + bulk = fn; + fn = function( elem, _key, value ) { + return bulk.call( jQuery( elem ), value ); + }; + } + } + + if ( fn ) { + for ( ; i < len; i++ ) { + fn( + elems[ i ], key, raw ? + value : + value.call( elems[ i ], i, fn( elems[ i ], key ) ) + ); + } + } + } + + if ( chainable ) { + return elems; + } + + // Gets + if ( bulk ) { + return fn.call( elems ); + } + + return len ? fn( elems[ 0 ], key ) : emptyGet; +}; + + +// Matches dashed string for camelizing +var rmsPrefix = /^-ms-/, + rdashAlpha = /-([a-z])/g; + +// Used by camelCase as callback to replace() +function fcamelCase( _all, letter ) { + return letter.toUpperCase(); +} + +// Convert dashed to camelCase; used by the css and data modules +// Support: IE <=9 - 11, Edge 12 - 15 +// Microsoft forgot to hump their vendor prefix (#9572) +function camelCase( string ) { + return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); +} +var acceptData = function( owner ) { + + // Accepts only: + // - Node + // - Node.ELEMENT_NODE + // - Node.DOCUMENT_NODE + // - Object + // - Any + return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType ); +}; + + + + +function Data() { + this.expando = jQuery.expando + Data.uid++; +} + +Data.uid = 1; + +Data.prototype = { + + cache: function( owner ) { + + // Check if the owner object already has a cache + var value = owner[ this.expando ]; + + // If not, create one + if ( !value ) { + value = {}; + + // We can accept data for non-element nodes in modern browsers, + // but we should not, see #8335. + // Always return an empty object. + if ( acceptData( owner ) ) { + + // If it is a node unlikely to be stringify-ed or looped over + // use plain assignment + if ( owner.nodeType ) { + owner[ this.expando ] = value; + + // Otherwise secure it in a non-enumerable property + // configurable must be true to allow the property to be + // deleted when data is removed + } else { + Object.defineProperty( owner, this.expando, { + value: value, + configurable: true + } ); + } + } + } + + return value; + }, + set: function( owner, data, value ) { + var prop, + cache = this.cache( owner ); + + // Handle: [ owner, key, value ] args + // Always use camelCase key (gh-2257) + if ( typeof data === "string" ) { + cache[ camelCase( data ) ] = value; + + // Handle: [ owner, { properties } ] args + } else { + + // Copy the properties one-by-one to the cache object + for ( prop in data ) { + cache[ camelCase( prop ) ] = data[ prop ]; + } + } + return cache; + }, + get: function( owner, key ) { + return key === undefined ? + this.cache( owner ) : + + // Always use camelCase key (gh-2257) + owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ]; + }, + access: function( owner, key, value ) { + + // In cases where either: + // + // 1. No key was specified + // 2. A string key was specified, but no value provided + // + // Take the "read" path and allow the get method to determine + // which value to return, respectively either: + // + // 1. The entire cache object + // 2. The data stored at the key + // + if ( key === undefined || + ( ( key && typeof key === "string" ) && value === undefined ) ) { + + return this.get( owner, key ); + } + + // When the key is not a string, or both a key and value + // are specified, set or extend (existing objects) with either: + // + // 1. An object of properties + // 2. A key and value + // + this.set( owner, key, value ); + + // Since the "set" path can have two possible entry points + // return the expected data based on which path was taken[*] + return value !== undefined ? value : key; + }, + remove: function( owner, key ) { + var i, + cache = owner[ this.expando ]; + + if ( cache === undefined ) { + return; + } + + if ( key !== undefined ) { + + // Support array or space separated string of keys + if ( Array.isArray( key ) ) { + + // If key is an array of keys... + // We always set camelCase keys, so remove that. + key = key.map( camelCase ); + } else { + key = camelCase( key ); + + // If a key with the spaces exists, use it. + // Otherwise, create an array by matching non-whitespace + key = key in cache ? + [ key ] : + ( key.match( rnothtmlwhite ) || [] ); + } + + i = key.length; + + while ( i-- ) { + delete cache[ key[ i ] ]; + } + } + + // Remove the expando if there's no more data + if ( key === undefined || jQuery.isEmptyObject( cache ) ) { + + // Support: Chrome <=35 - 45 + // Webkit & Blink performance suffers when deleting properties + // from DOM nodes, so set to undefined instead + // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted) + if ( owner.nodeType ) { + owner[ this.expando ] = undefined; + } else { + delete owner[ this.expando ]; + } + } + }, + hasData: function( owner ) { + var cache = owner[ this.expando ]; + return cache !== undefined && !jQuery.isEmptyObject( cache ); + } +}; +var dataPriv = new Data(); + +var dataUser = new Data(); + + + +// Implementation Summary +// +// 1. Enforce API surface and semantic compatibility with 1.9.x branch +// 2. Improve the module's maintainability by reducing the storage +// paths to a single mechanism. +// 3. Use the same single mechanism to support "private" and "user" data. +// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) +// 5. Avoid exposing implementation details on user objects (eg. expando properties) +// 6. Provide a clear path for implementation upgrade to WeakMap in 2014 + +var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, + rmultiDash = /[A-Z]/g; + +function getData( data ) { + if ( data === "true" ) { + return true; + } + + if ( data === "false" ) { + return false; + } + + if ( data === "null" ) { + return null; + } + + // Only convert to a number if it doesn't change the string + if ( data === +data + "" ) { + return +data; + } + + if ( rbrace.test( data ) ) { + return JSON.parse( data ); + } + + return data; +} + +function dataAttr( elem, key, data ) { + var name; + + // If nothing was found internally, try to fetch any + // data from the HTML5 data-* attribute + if ( data === undefined && elem.nodeType === 1 ) { + name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase(); + data = elem.getAttribute( name ); + + if ( typeof data === "string" ) { + try { + data = getData( data ); + } catch ( e ) {} + + // Make sure we set the data so it isn't changed later + dataUser.set( elem, key, data ); + } else { + data = undefined; + } + } + return data; +} + +jQuery.extend( { + hasData: function( elem ) { + return dataUser.hasData( elem ) || dataPriv.hasData( elem ); + }, + + data: function( elem, name, data ) { + return dataUser.access( elem, name, data ); + }, + + removeData: function( elem, name ) { + dataUser.remove( elem, name ); + }, + + // TODO: Now that all calls to _data and _removeData have been replaced + // with direct calls to dataPriv methods, these can be deprecated. + _data: function( elem, name, data ) { + return dataPriv.access( elem, name, data ); + }, + + _removeData: function( elem, name ) { + dataPriv.remove( elem, name ); + } +} ); + +jQuery.fn.extend( { + data: function( key, value ) { + var i, name, data, + elem = this[ 0 ], + attrs = elem && elem.attributes; + + // Gets all values + if ( key === undefined ) { + if ( this.length ) { + data = dataUser.get( elem ); + + if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) { + i = attrs.length; + while ( i-- ) { + + // Support: IE 11 only + // The attrs elements can be null (#14894) + if ( attrs[ i ] ) { + name = attrs[ i ].name; + if ( name.indexOf( "data-" ) === 0 ) { + name = camelCase( name.slice( 5 ) ); + dataAttr( elem, name, data[ name ] ); + } + } + } + dataPriv.set( elem, "hasDataAttrs", true ); + } + } + + return data; + } + + // Sets multiple values + if ( typeof key === "object" ) { + return this.each( function() { + dataUser.set( this, key ); + } ); + } + + return access( this, function( value ) { + var data; + + // The calling jQuery object (element matches) is not empty + // (and therefore has an element appears at this[ 0 ]) and the + // `value` parameter was not undefined. An empty jQuery object + // will result in `undefined` for elem = this[ 0 ] which will + // throw an exception if an attempt to read a data cache is made. + if ( elem && value === undefined ) { + + // Attempt to get data from the cache + // The key will always be camelCased in Data + data = dataUser.get( elem, key ); + if ( data !== undefined ) { + return data; + } + + // Attempt to "discover" the data in + // HTML5 custom data-* attrs + data = dataAttr( elem, key ); + if ( data !== undefined ) { + return data; + } + + // We tried really hard, but the data doesn't exist. + return; + } + + // Set the data... + this.each( function() { + + // We always store the camelCased key + dataUser.set( this, key, value ); + } ); + }, null, value, arguments.length > 1, null, true ); + }, + + removeData: function( key ) { + return this.each( function() { + dataUser.remove( this, key ); + } ); + } +} ); + + +jQuery.extend( { + queue: function( elem, type, data ) { + var queue; + + if ( elem ) { + type = ( type || "fx" ) + "queue"; + queue = dataPriv.get( elem, type ); + + // Speed up dequeue by getting out quickly if this is just a lookup + if ( data ) { + if ( !queue || Array.isArray( data ) ) { + queue = dataPriv.access( elem, type, jQuery.makeArray( data ) ); + } else { + queue.push( data ); + } + } + return queue || []; + } + }, + + dequeue: function( elem, type ) { + type = type || "fx"; + + var queue = jQuery.queue( elem, type ), + startLength = queue.length, + fn = queue.shift(), + hooks = jQuery._queueHooks( elem, type ), + next = function() { + jQuery.dequeue( elem, type ); + }; + + // If the fx queue is dequeued, always remove the progress sentinel + if ( fn === "inprogress" ) { + fn = queue.shift(); + startLength--; + } + + if ( fn ) { + + // Add a progress sentinel to prevent the fx queue from being + // automatically dequeued + if ( type === "fx" ) { + queue.unshift( "inprogress" ); + } + + // Clear up the last queue stop function + delete hooks.stop; + fn.call( elem, next, hooks ); + } + + if ( !startLength && hooks ) { + hooks.empty.fire(); + } + }, + + // Not public - generate a queueHooks object, or return the current one + _queueHooks: function( elem, type ) { + var key = type + "queueHooks"; + return dataPriv.get( elem, key ) || dataPriv.access( elem, key, { + empty: jQuery.Callbacks( "once memory" ).add( function() { + dataPriv.remove( elem, [ type + "queue", key ] ); + } ) + } ); + } +} ); + +jQuery.fn.extend( { + queue: function( type, data ) { + var setter = 2; + + if ( typeof type !== "string" ) { + data = type; + type = "fx"; + setter--; + } + + if ( arguments.length < setter ) { + return jQuery.queue( this[ 0 ], type ); + } + + return data === undefined ? + this : + this.each( function() { + var queue = jQuery.queue( this, type, data ); + + // Ensure a hooks for this queue + jQuery._queueHooks( this, type ); + + if ( type === "fx" && queue[ 0 ] !== "inprogress" ) { + jQuery.dequeue( this, type ); + } + } ); + }, + dequeue: function( type ) { + return this.each( function() { + jQuery.dequeue( this, type ); + } ); + }, + clearQueue: function( type ) { + return this.queue( type || "fx", [] ); + }, + + // Get a promise resolved when queues of a certain type + // are emptied (fx is the type by default) + promise: function( type, obj ) { + var tmp, + count = 1, + defer = jQuery.Deferred(), + elements = this, + i = this.length, + resolve = function() { + if ( !( --count ) ) { + defer.resolveWith( elements, [ elements ] ); + } + }; + + if ( typeof type !== "string" ) { + obj = type; + type = undefined; + } + type = type || "fx"; + + while ( i-- ) { + tmp = dataPriv.get( elements[ i ], type + "queueHooks" ); + if ( tmp && tmp.empty ) { + count++; + tmp.empty.add( resolve ); + } + } + resolve(); + return defer.promise( obj ); + } +} ); +var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source; + +var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ); + + +var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; + +var documentElement = document.documentElement; + + + + var isAttached = function( elem ) { + return jQuery.contains( elem.ownerDocument, elem ); + }, + composed = { composed: true }; + + // Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only + // Check attachment across shadow DOM boundaries when possible (gh-3504) + // Support: iOS 10.0-10.2 only + // Early iOS 10 versions support `attachShadow` but not `getRootNode`, + // leading to errors. We need to check for `getRootNode`. + if ( documentElement.getRootNode ) { + isAttached = function( elem ) { + return jQuery.contains( elem.ownerDocument, elem ) || + elem.getRootNode( composed ) === elem.ownerDocument; + }; + } +var isHiddenWithinTree = function( elem, el ) { + + // isHiddenWithinTree might be called from jQuery#filter function; + // in that case, element will be second argument + elem = el || elem; + + // Inline style trumps all + return elem.style.display === "none" || + elem.style.display === "" && + + // Otherwise, check computed style + // Support: Firefox <=43 - 45 + // Disconnected elements can have computed display: none, so first confirm that elem is + // in the document. + isAttached( elem ) && + + jQuery.css( elem, "display" ) === "none"; + }; + + + +function adjustCSS( elem, prop, valueParts, tween ) { + var adjusted, scale, + maxIterations = 20, + currentValue = tween ? + function() { + return tween.cur(); + } : + function() { + return jQuery.css( elem, prop, "" ); + }, + initial = currentValue(), + unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ), + + // Starting value computation is required for potential unit mismatches + initialInUnit = elem.nodeType && + ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) && + rcssNum.exec( jQuery.css( elem, prop ) ); + + if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { + + // Support: Firefox <=54 + // Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144) + initial = initial / 2; + + // Trust units reported by jQuery.css + unit = unit || initialInUnit[ 3 ]; + + // Iteratively approximate from a nonzero starting point + initialInUnit = +initial || 1; + + while ( maxIterations-- ) { + + // Evaluate and update our best guess (doubling guesses that zero out). + // Finish if the scale equals or crosses 1 (making the old*new product non-positive). + jQuery.style( elem, prop, initialInUnit + unit ); + if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) { + maxIterations = 0; + } + initialInUnit = initialInUnit / scale; + + } + + initialInUnit = initialInUnit * 2; + jQuery.style( elem, prop, initialInUnit + unit ); + + // Make sure we update the tween properties later on + valueParts = valueParts || []; + } + + if ( valueParts ) { + initialInUnit = +initialInUnit || +initial || 0; + + // Apply relative offset (+=/-=) if specified + adjusted = valueParts[ 1 ] ? + initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] : + +valueParts[ 2 ]; + if ( tween ) { + tween.unit = unit; + tween.start = initialInUnit; + tween.end = adjusted; + } + } + return adjusted; +} + + +var defaultDisplayMap = {}; + +function getDefaultDisplay( elem ) { + var temp, + doc = elem.ownerDocument, + nodeName = elem.nodeName, + display = defaultDisplayMap[ nodeName ]; + + if ( display ) { + return display; + } + + temp = doc.body.appendChild( doc.createElement( nodeName ) ); + display = jQuery.css( temp, "display" ); + + temp.parentNode.removeChild( temp ); + + if ( display === "none" ) { + display = "block"; + } + defaultDisplayMap[ nodeName ] = display; + + return display; +} + +function showHide( elements, show ) { + var display, elem, + values = [], + index = 0, + length = elements.length; + + // Determine new display value for elements that need to change + for ( ; index < length; index++ ) { + elem = elements[ index ]; + if ( !elem.style ) { + continue; + } + + display = elem.style.display; + if ( show ) { + + // Since we force visibility upon cascade-hidden elements, an immediate (and slow) + // check is required in this first loop unless we have a nonempty display value (either + // inline or about-to-be-restored) + if ( display === "none" ) { + values[ index ] = dataPriv.get( elem, "display" ) || null; + if ( !values[ index ] ) { + elem.style.display = ""; + } + } + if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) { + values[ index ] = getDefaultDisplay( elem ); + } + } else { + if ( display !== "none" ) { + values[ index ] = "none"; + + // Remember what we're overwriting + dataPriv.set( elem, "display", display ); + } + } + } + + // Set the display of the elements in a second loop to avoid constant reflow + for ( index = 0; index < length; index++ ) { + if ( values[ index ] != null ) { + elements[ index ].style.display = values[ index ]; + } + } + + return elements; +} + +jQuery.fn.extend( { + show: function() { + return showHide( this, true ); + }, + hide: function() { + return showHide( this ); + }, + toggle: function( state ) { + if ( typeof state === "boolean" ) { + return state ? this.show() : this.hide(); + } + + return this.each( function() { + if ( isHiddenWithinTree( this ) ) { + jQuery( this ).show(); + } else { + jQuery( this ).hide(); + } + } ); + } +} ); +var rcheckableType = ( /^(?:checkbox|radio)$/i ); + +var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i ); + +var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i ); + + + +( function() { + var fragment = document.createDocumentFragment(), + div = fragment.appendChild( document.createElement( "div" ) ), + input = document.createElement( "input" ); + + // Support: Android 4.0 - 4.3 only + // Check state lost if the name is set (#11217) + // Support: Windows Web Apps (WWA) + // `name` and `type` must use .setAttribute for WWA (#14901) + input.setAttribute( "type", "radio" ); + input.setAttribute( "checked", "checked" ); + input.setAttribute( "name", "t" ); + + div.appendChild( input ); + + // Support: Android <=4.1 only + // Older WebKit doesn't clone checked state correctly in fragments + support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; + + // Support: IE <=11 only + // Make sure textarea (and checkbox) defaultValue is properly cloned + div.innerHTML = "<textarea>x</textarea>"; + support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; + + // Support: IE <=9 only + // IE <=9 replaces <option> tags with their contents when inserted outside of + // the select element. + div.innerHTML = "<option></option>"; + support.option = !!div.lastChild; +} )(); + + +// We have to close these tags to support XHTML (#13200) +var wrapMap = { + + // XHTML parsers do not magically insert elements in the + // same way that tag soup parsers do. So we cannot shorten + // this by omitting <tbody> or other required elements. + thead: [ 1, "<table>", "</table>" ], + col: [ 2, "<table><colgroup>", "</colgroup></table>" ], + tr: [ 2, "<table><tbody>", "</tbody></table>" ], + td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ], + + _default: [ 0, "", "" ] +}; + +wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; +wrapMap.th = wrapMap.td; + +// Support: IE <=9 only +if ( !support.option ) { + wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ]; +} + + +function getAll( context, tag ) { + + // Support: IE <=9 - 11 only + // Use typeof to avoid zero-argument method invocation on host objects (#15151) + var ret; + + if ( typeof context.getElementsByTagName !== "undefined" ) { + ret = context.getElementsByTagName( tag || "*" ); + + } else if ( typeof context.querySelectorAll !== "undefined" ) { + ret = context.querySelectorAll( tag || "*" ); + + } else { + ret = []; + } + + if ( tag === undefined || tag && nodeName( context, tag ) ) { + return jQuery.merge( [ context ], ret ); + } + + return ret; +} + + +// Mark scripts as having already been evaluated +function setGlobalEval( elems, refElements ) { + var i = 0, + l = elems.length; + + for ( ; i < l; i++ ) { + dataPriv.set( + elems[ i ], + "globalEval", + !refElements || dataPriv.get( refElements[ i ], "globalEval" ) + ); + } +} + + +var rhtml = /<|&#?\w+;/; + +function buildFragment( elems, context, scripts, selection, ignored ) { + var elem, tmp, tag, wrap, attached, j, + fragment = context.createDocumentFragment(), + nodes = [], + i = 0, + l = elems.length; + + for ( ; i < l; i++ ) { + elem = elems[ i ]; + + if ( elem || elem === 0 ) { + + // Add nodes directly + if ( toType( elem ) === "object" ) { + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); + + // Convert non-html into a text node + } else if ( !rhtml.test( elem ) ) { + nodes.push( context.createTextNode( elem ) ); + + // Convert html into DOM nodes + } else { + tmp = tmp || fragment.appendChild( context.createElement( "div" ) ); + + // Deserialize a standard representation + tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase(); + wrap = wrapMap[ tag ] || wrapMap._default; + tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ]; + + // Descend through wrappers to the right content + j = wrap[ 0 ]; + while ( j-- ) { + tmp = tmp.lastChild; + } + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( nodes, tmp.childNodes ); + + // Remember the top-level container + tmp = fragment.firstChild; + + // Ensure the created nodes are orphaned (#12392) + tmp.textContent = ""; + } + } + } + + // Remove wrapper from fragment + fragment.textContent = ""; + + i = 0; + while ( ( elem = nodes[ i++ ] ) ) { + + // Skip elements already in the context collection (trac-4087) + if ( selection && jQuery.inArray( elem, selection ) > -1 ) { + if ( ignored ) { + ignored.push( elem ); + } + continue; + } + + attached = isAttached( elem ); + + // Append to fragment + tmp = getAll( fragment.appendChild( elem ), "script" ); + + // Preserve script evaluation history + if ( attached ) { + setGlobalEval( tmp ); + } + + // Capture executables + if ( scripts ) { + j = 0; + while ( ( elem = tmp[ j++ ] ) ) { + if ( rscriptType.test( elem.type || "" ) ) { + scripts.push( elem ); + } + } + } + } + + return fragment; +} + + +var + rkeyEvent = /^key/, + rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/, + rtypenamespace = /^([^.]*)(?:\.(.+)|)/; + +function returnTrue() { + return true; +} + +function returnFalse() { + return false; +} + +// Support: IE <=9 - 11+ +// focus() and blur() are asynchronous, except when they are no-op. +// So expect focus to be synchronous when the element is already active, +// and blur to be synchronous when the element is not already active. +// (focus and blur are always synchronous in other supported browsers, +// this just defines when we can count on it). +function expectSync( elem, type ) { + return ( elem === safeActiveElement() ) === ( type === "focus" ); +} + +// Support: IE <=9 only +// Accessing document.activeElement can throw unexpectedly +// https://bugs.jquery.com/ticket/13393 +function safeActiveElement() { + try { + return document.activeElement; + } catch ( err ) { } +} + +function on( elem, types, selector, data, fn, one ) { + var origFn, type; + + // Types can be a map of types/handlers + if ( typeof types === "object" ) { + + // ( types-Object, selector, data ) + if ( typeof selector !== "string" ) { + + // ( types-Object, data ) + data = data || selector; + selector = undefined; + } + for ( type in types ) { + on( elem, type, selector, data, types[ type ], one ); + } + return elem; + } + + if ( data == null && fn == null ) { + + // ( types, fn ) + fn = selector; + data = selector = undefined; + } else if ( fn == null ) { + if ( typeof selector === "string" ) { + + // ( types, selector, fn ) + fn = data; + data = undefined; + } else { + + // ( types, data, fn ) + fn = data; + data = selector; + selector = undefined; + } + } + if ( fn === false ) { + fn = returnFalse; + } else if ( !fn ) { + return elem; + } + + if ( one === 1 ) { + origFn = fn; + fn = function( event ) { + + // Can use an empty set, since event contains the info + jQuery().off( event ); + return origFn.apply( this, arguments ); + }; + + // Use same guid so caller can remove using origFn + fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); + } + return elem.each( function() { + jQuery.event.add( this, types, fn, data, selector ); + } ); +} + +/* + * Helper functions for managing events -- not part of the public interface. + * Props to Dean Edwards' addEvent library for many of the ideas. + */ +jQuery.event = { + + global: {}, + + add: function( elem, types, handler, data, selector ) { + + var handleObjIn, eventHandle, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = dataPriv.get( elem ); + + // Only attach events to objects that accept data + if ( !acceptData( elem ) ) { + return; + } + + // Caller can pass in an object of custom data in lieu of the handler + if ( handler.handler ) { + handleObjIn = handler; + handler = handleObjIn.handler; + selector = handleObjIn.selector; + } + + // Ensure that invalid selectors throw exceptions at attach time + // Evaluate against documentElement in case elem is a non-element node (e.g., document) + if ( selector ) { + jQuery.find.matchesSelector( documentElement, selector ); + } + + // Make sure that the handler has a unique ID, used to find/remove it later + if ( !handler.guid ) { + handler.guid = jQuery.guid++; + } + + // Init the element's event structure and main handler, if this is the first + if ( !( events = elemData.events ) ) { + events = elemData.events = Object.create( null ); + } + if ( !( eventHandle = elemData.handle ) ) { + eventHandle = elemData.handle = function( e ) { + + // Discard the second event of a jQuery.event.trigger() and + // when an event is called after a page has unloaded + return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ? + jQuery.event.dispatch.apply( elem, arguments ) : undefined; + }; + } + + // Handle multiple events separated by a space + types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[ t ] ) || []; + type = origType = tmp[ 1 ]; + namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); + + // There *must* be a type, no attaching namespace-only handlers + if ( !type ) { + continue; + } + + // If event changes its type, use the special event handlers for the changed type + special = jQuery.event.special[ type ] || {}; + + // If selector defined, determine special event api type, otherwise given type + type = ( selector ? special.delegateType : special.bindType ) || type; + + // Update special based on newly reset type + special = jQuery.event.special[ type ] || {}; + + // handleObj is passed to all event handlers + handleObj = jQuery.extend( { + type: type, + origType: origType, + data: data, + handler: handler, + guid: handler.guid, + selector: selector, + needsContext: selector && jQuery.expr.match.needsContext.test( selector ), + namespace: namespaces.join( "." ) + }, handleObjIn ); + + // Init the event handler queue if we're the first + if ( !( handlers = events[ type ] ) ) { + handlers = events[ type ] = []; + handlers.delegateCount = 0; + + // Only use addEventListener if the special events handler returns false + if ( !special.setup || + special.setup.call( elem, data, namespaces, eventHandle ) === false ) { + + if ( elem.addEventListener ) { + elem.addEventListener( type, eventHandle ); + } + } + } + + if ( special.add ) { + special.add.call( elem, handleObj ); + + if ( !handleObj.handler.guid ) { + handleObj.handler.guid = handler.guid; + } + } + + // Add to the element's handler list, delegates in front + if ( selector ) { + handlers.splice( handlers.delegateCount++, 0, handleObj ); + } else { + handlers.push( handleObj ); + } + + // Keep track of which events have ever been used, for event optimization + jQuery.event.global[ type ] = true; + } + + }, + + // Detach an event or set of events from an element + remove: function( elem, types, handler, selector, mappedTypes ) { + + var j, origCount, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = dataPriv.hasData( elem ) && dataPriv.get( elem ); + + if ( !elemData || !( events = elemData.events ) ) { + return; + } + + // Once for each type.namespace in types; type may be omitted + types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[ t ] ) || []; + type = origType = tmp[ 1 ]; + namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); + + // Unbind all events (on this namespace, if provided) for the element + if ( !type ) { + for ( type in events ) { + jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); + } + continue; + } + + special = jQuery.event.special[ type ] || {}; + type = ( selector ? special.delegateType : special.bindType ) || type; + handlers = events[ type ] || []; + tmp = tmp[ 2 ] && + new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ); + + // Remove matching events + origCount = j = handlers.length; + while ( j-- ) { + handleObj = handlers[ j ]; + + if ( ( mappedTypes || origType === handleObj.origType ) && + ( !handler || handler.guid === handleObj.guid ) && + ( !tmp || tmp.test( handleObj.namespace ) ) && + ( !selector || selector === handleObj.selector || + selector === "**" && handleObj.selector ) ) { + handlers.splice( j, 1 ); + + if ( handleObj.selector ) { + handlers.delegateCount--; + } + if ( special.remove ) { + special.remove.call( elem, handleObj ); + } + } + } + + // Remove generic event handler if we removed something and no more handlers exist + // (avoids potential for endless recursion during removal of special event handlers) + if ( origCount && !handlers.length ) { + if ( !special.teardown || + special.teardown.call( elem, namespaces, elemData.handle ) === false ) { + + jQuery.removeEvent( elem, type, elemData.handle ); + } + + delete events[ type ]; + } + } + + // Remove data and the expando if it's no longer used + if ( jQuery.isEmptyObject( events ) ) { + dataPriv.remove( elem, "handle events" ); + } + }, + + dispatch: function( nativeEvent ) { + + var i, j, ret, matched, handleObj, handlerQueue, + args = new Array( arguments.length ), + + // Make a writable jQuery.Event from the native event object + event = jQuery.event.fix( nativeEvent ), + + handlers = ( + dataPriv.get( this, "events" ) || Object.create( null ) + )[ event.type ] || [], + special = jQuery.event.special[ event.type ] || {}; + + // Use the fix-ed jQuery.Event rather than the (read-only) native event + args[ 0 ] = event; + + for ( i = 1; i < arguments.length; i++ ) { + args[ i ] = arguments[ i ]; + } + + event.delegateTarget = this; + + // Call the preDispatch hook for the mapped type, and let it bail if desired + if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { + return; + } + + // Determine handlers + handlerQueue = jQuery.event.handlers.call( this, event, handlers ); + + // Run delegates first; they may want to stop propagation beneath us + i = 0; + while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) { + event.currentTarget = matched.elem; + + j = 0; + while ( ( handleObj = matched.handlers[ j++ ] ) && + !event.isImmediatePropagationStopped() ) { + + // If the event is namespaced, then each handler is only invoked if it is + // specially universal or its namespaces are a superset of the event's. + if ( !event.rnamespace || handleObj.namespace === false || + event.rnamespace.test( handleObj.namespace ) ) { + + event.handleObj = handleObj; + event.data = handleObj.data; + + ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle || + handleObj.handler ).apply( matched.elem, args ); + + if ( ret !== undefined ) { + if ( ( event.result = ret ) === false ) { + event.preventDefault(); + event.stopPropagation(); + } + } + } + } + } + + // Call the postDispatch hook for the mapped type + if ( special.postDispatch ) { + special.postDispatch.call( this, event ); + } + + return event.result; + }, + + handlers: function( event, handlers ) { + var i, handleObj, sel, matchedHandlers, matchedSelectors, + handlerQueue = [], + delegateCount = handlers.delegateCount, + cur = event.target; + + // Find delegate handlers + if ( delegateCount && + + // Support: IE <=9 + // Black-hole SVG <use> instance trees (trac-13180) + cur.nodeType && + + // Support: Firefox <=42 + // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861) + // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click + // Support: IE 11 only + // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343) + !( event.type === "click" && event.button >= 1 ) ) { + + for ( ; cur !== this; cur = cur.parentNode || this ) { + + // Don't check non-elements (#13208) + // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) + if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) { + matchedHandlers = []; + matchedSelectors = {}; + for ( i = 0; i < delegateCount; i++ ) { + handleObj = handlers[ i ]; + + // Don't conflict with Object.prototype properties (#13203) + sel = handleObj.selector + " "; + + if ( matchedSelectors[ sel ] === undefined ) { + matchedSelectors[ sel ] = handleObj.needsContext ? + jQuery( sel, this ).index( cur ) > -1 : + jQuery.find( sel, this, null, [ cur ] ).length; + } + if ( matchedSelectors[ sel ] ) { + matchedHandlers.push( handleObj ); + } + } + if ( matchedHandlers.length ) { + handlerQueue.push( { elem: cur, handlers: matchedHandlers } ); + } + } + } + } + + // Add the remaining (directly-bound) handlers + cur = this; + if ( delegateCount < handlers.length ) { + handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } ); + } + + return handlerQueue; + }, + + addProp: function( name, hook ) { + Object.defineProperty( jQuery.Event.prototype, name, { + enumerable: true, + configurable: true, + + get: isFunction( hook ) ? + function() { + if ( this.originalEvent ) { + return hook( this.originalEvent ); + } + } : + function() { + if ( this.originalEvent ) { + return this.originalEvent[ name ]; + } + }, + + set: function( value ) { + Object.defineProperty( this, name, { + enumerable: true, + configurable: true, + writable: true, + value: value + } ); + } + } ); + }, + + fix: function( originalEvent ) { + return originalEvent[ jQuery.expando ] ? + originalEvent : + new jQuery.Event( originalEvent ); + }, + + special: { + load: { + + // Prevent triggered image.load events from bubbling to window.load + noBubble: true + }, + click: { + + // Utilize native event to ensure correct state for checkable inputs + setup: function( data ) { + + // For mutual compressibility with _default, replace `this` access with a local var. + // `|| data` is dead code meant only to preserve the variable through minification. + var el = this || data; + + // Claim the first handler + if ( rcheckableType.test( el.type ) && + el.click && nodeName( el, "input" ) ) { + + // dataPriv.set( el, "click", ... ) + leverageNative( el, "click", returnTrue ); + } + + // Return false to allow normal processing in the caller + return false; + }, + trigger: function( data ) { + + // For mutual compressibility with _default, replace `this` access with a local var. + // `|| data` is dead code meant only to preserve the variable through minification. + var el = this || data; + + // Force setup before triggering a click + if ( rcheckableType.test( el.type ) && + el.click && nodeName( el, "input" ) ) { + + leverageNative( el, "click" ); + } + + // Return non-false to allow normal event-path propagation + return true; + }, + + // For cross-browser consistency, suppress native .click() on links + // Also prevent it if we're currently inside a leveraged native-event stack + _default: function( event ) { + var target = event.target; + return rcheckableType.test( target.type ) && + target.click && nodeName( target, "input" ) && + dataPriv.get( target, "click" ) || + nodeName( target, "a" ); + } + }, + + beforeunload: { + postDispatch: function( event ) { + + // Support: Firefox 20+ + // Firefox doesn't alert if the returnValue field is not set. + if ( event.result !== undefined && event.originalEvent ) { + event.originalEvent.returnValue = event.result; + } + } + } + } +}; + +// Ensure the presence of an event listener that handles manually-triggered +// synthetic events by interrupting progress until reinvoked in response to +// *native* events that it fires directly, ensuring that state changes have +// already occurred before other listeners are invoked. +function leverageNative( el, type, expectSync ) { + + // Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add + if ( !expectSync ) { + if ( dataPriv.get( el, type ) === undefined ) { + jQuery.event.add( el, type, returnTrue ); + } + return; + } + + // Register the controller as a special universal handler for all event namespaces + dataPriv.set( el, type, false ); + jQuery.event.add( el, type, { + namespace: false, + handler: function( event ) { + var notAsync, result, + saved = dataPriv.get( this, type ); + + if ( ( event.isTrigger & 1 ) && this[ type ] ) { + + // Interrupt processing of the outer synthetic .trigger()ed event + // Saved data should be false in such cases, but might be a leftover capture object + // from an async native handler (gh-4350) + if ( !saved.length ) { + + // Store arguments for use when handling the inner native event + // There will always be at least one argument (an event object), so this array + // will not be confused with a leftover capture object. + saved = slice.call( arguments ); + dataPriv.set( this, type, saved ); + + // Trigger the native event and capture its result + // Support: IE <=9 - 11+ + // focus() and blur() are asynchronous + notAsync = expectSync( this, type ); + this[ type ](); + result = dataPriv.get( this, type ); + if ( saved !== result || notAsync ) { + dataPriv.set( this, type, false ); + } else { + result = {}; + } + if ( saved !== result ) { + + // Cancel the outer synthetic event + event.stopImmediatePropagation(); + event.preventDefault(); + return result.value; + } + + // If this is an inner synthetic event for an event with a bubbling surrogate + // (focus or blur), assume that the surrogate already propagated from triggering the + // native event and prevent that from happening again here. + // This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the + // bubbling surrogate propagates *after* the non-bubbling base), but that seems + // less bad than duplication. + } else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) { + event.stopPropagation(); + } + + // If this is a native event triggered above, everything is now in order + // Fire an inner synthetic event with the original arguments + } else if ( saved.length ) { + + // ...and capture the result + dataPriv.set( this, type, { + value: jQuery.event.trigger( + + // Support: IE <=9 - 11+ + // Extend with the prototype to reset the above stopImmediatePropagation() + jQuery.extend( saved[ 0 ], jQuery.Event.prototype ), + saved.slice( 1 ), + this + ) + } ); + + // Abort handling of the native event + event.stopImmediatePropagation(); + } + } + } ); +} + +jQuery.removeEvent = function( elem, type, handle ) { + + // This "if" is needed for plain objects + if ( elem.removeEventListener ) { + elem.removeEventListener( type, handle ); + } +}; + +jQuery.Event = function( src, props ) { + + // Allow instantiation without the 'new' keyword + if ( !( this instanceof jQuery.Event ) ) { + return new jQuery.Event( src, props ); + } + + // Event object + if ( src && src.type ) { + this.originalEvent = src; + this.type = src.type; + + // Events bubbling up the document may have been marked as prevented + // by a handler lower down the tree; reflect the correct value. + this.isDefaultPrevented = src.defaultPrevented || + src.defaultPrevented === undefined && + + // Support: Android <=2.3 only + src.returnValue === false ? + returnTrue : + returnFalse; + + // Create target properties + // Support: Safari <=6 - 7 only + // Target should not be a text node (#504, #13143) + this.target = ( src.target && src.target.nodeType === 3 ) ? + src.target.parentNode : + src.target; + + this.currentTarget = src.currentTarget; + this.relatedTarget = src.relatedTarget; + + // Event type + } else { + this.type = src; + } + + // Put explicitly provided properties onto the event object + if ( props ) { + jQuery.extend( this, props ); + } + + // Create a timestamp if incoming event doesn't have one + this.timeStamp = src && src.timeStamp || Date.now(); + + // Mark it as fixed + this[ jQuery.expando ] = true; +}; + +// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding +// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html +jQuery.Event.prototype = { + constructor: jQuery.Event, + isDefaultPrevented: returnFalse, + isPropagationStopped: returnFalse, + isImmediatePropagationStopped: returnFalse, + isSimulated: false, + + preventDefault: function() { + var e = this.originalEvent; + + this.isDefaultPrevented = returnTrue; + + if ( e && !this.isSimulated ) { + e.preventDefault(); + } + }, + stopPropagation: function() { + var e = this.originalEvent; + + this.isPropagationStopped = returnTrue; + + if ( e && !this.isSimulated ) { + e.stopPropagation(); + } + }, + stopImmediatePropagation: function() { + var e = this.originalEvent; + + this.isImmediatePropagationStopped = returnTrue; + + if ( e && !this.isSimulated ) { + e.stopImmediatePropagation(); + } + + this.stopPropagation(); + } +}; + +// Includes all common event props including KeyEvent and MouseEvent specific props +jQuery.each( { + altKey: true, + bubbles: true, + cancelable: true, + changedTouches: true, + ctrlKey: true, + detail: true, + eventPhase: true, + metaKey: true, + pageX: true, + pageY: true, + shiftKey: true, + view: true, + "char": true, + code: true, + charCode: true, + key: true, + keyCode: true, + button: true, + buttons: true, + clientX: true, + clientY: true, + offsetX: true, + offsetY: true, + pointerId: true, + pointerType: true, + screenX: true, + screenY: true, + targetTouches: true, + toElement: true, + touches: true, + + which: function( event ) { + var button = event.button; + + // Add which for key events + if ( event.which == null && rkeyEvent.test( event.type ) ) { + return event.charCode != null ? event.charCode : event.keyCode; + } + + // Add which for click: 1 === left; 2 === middle; 3 === right + if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) { + if ( button & 1 ) { + return 1; + } + + if ( button & 2 ) { + return 3; + } + + if ( button & 4 ) { + return 2; + } + + return 0; + } + + return event.which; + } +}, jQuery.event.addProp ); + +jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) { + jQuery.event.special[ type ] = { + + // Utilize native event if possible so blur/focus sequence is correct + setup: function() { + + // Claim the first handler + // dataPriv.set( this, "focus", ... ) + // dataPriv.set( this, "blur", ... ) + leverageNative( this, type, expectSync ); + + // Return false to allow normal processing in the caller + return false; + }, + trigger: function() { + + // Force setup before trigger + leverageNative( this, type ); + + // Return non-false to allow normal event-path propagation + return true; + }, + + delegateType: delegateType + }; +} ); + +// Create mouseenter/leave events using mouseover/out and event-time checks +// so that event delegation works in jQuery. +// Do the same for pointerenter/pointerleave and pointerover/pointerout +// +// Support: Safari 7 only +// Safari sends mouseenter too often; see: +// https://bugs.chromium.org/p/chromium/issues/detail?id=470258 +// for the description of the bug (it existed in older Chrome versions as well). +jQuery.each( { + mouseenter: "mouseover", + mouseleave: "mouseout", + pointerenter: "pointerover", + pointerleave: "pointerout" +}, function( orig, fix ) { + jQuery.event.special[ orig ] = { + delegateType: fix, + bindType: fix, + + handle: function( event ) { + var ret, + target = this, + related = event.relatedTarget, + handleObj = event.handleObj; + + // For mouseenter/leave call the handler if related is outside the target. + // NB: No relatedTarget if the mouse left/entered the browser window + if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) { + event.type = handleObj.origType; + ret = handleObj.handler.apply( this, arguments ); + event.type = fix; + } + return ret; + } + }; +} ); + +jQuery.fn.extend( { + + on: function( types, selector, data, fn ) { + return on( this, types, selector, data, fn ); + }, + one: function( types, selector, data, fn ) { + return on( this, types, selector, data, fn, 1 ); + }, + off: function( types, selector, fn ) { + var handleObj, type; + if ( types && types.preventDefault && types.handleObj ) { + + // ( event ) dispatched jQuery.Event + handleObj = types.handleObj; + jQuery( types.delegateTarget ).off( + handleObj.namespace ? + handleObj.origType + "." + handleObj.namespace : + handleObj.origType, + handleObj.selector, + handleObj.handler + ); + return this; + } + if ( typeof types === "object" ) { + + // ( types-object [, selector] ) + for ( type in types ) { + this.off( type, selector, types[ type ] ); + } + return this; + } + if ( selector === false || typeof selector === "function" ) { + + // ( types [, fn] ) + fn = selector; + selector = undefined; + } + if ( fn === false ) { + fn = returnFalse; + } + return this.each( function() { + jQuery.event.remove( this, types, fn, selector ); + } ); + } +} ); + + +var + + // Support: IE <=10 - 11, Edge 12 - 13 only + // In IE/Edge using regex groups here causes severe slowdowns. + // See https://connect.microsoft.com/IE/feedback/details/1736512/ + rnoInnerhtml = /<script|<style|<link/i, + + // checked="checked" or checked + rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i, + rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g; + +// Prefer a tbody over its parent table for containing new rows +function manipulationTarget( elem, content ) { + if ( nodeName( elem, "table" ) && + nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { + + return jQuery( elem ).children( "tbody" )[ 0 ] || elem; + } + + return elem; +} + +// Replace/restore the type attribute of script elements for safe DOM manipulation +function disableScript( elem ) { + elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type; + return elem; +} +function restoreScript( elem ) { + if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) { + elem.type = elem.type.slice( 5 ); + } else { + elem.removeAttribute( "type" ); + } + + return elem; +} + +function cloneCopyEvent( src, dest ) { + var i, l, type, pdataOld, udataOld, udataCur, events; + + if ( dest.nodeType !== 1 ) { + return; + } + + // 1. Copy private data: events, handlers, etc. + if ( dataPriv.hasData( src ) ) { + pdataOld = dataPriv.get( src ); + events = pdataOld.events; + + if ( events ) { + dataPriv.remove( dest, "handle events" ); + + for ( type in events ) { + for ( i = 0, l = events[ type ].length; i < l; i++ ) { + jQuery.event.add( dest, type, events[ type ][ i ] ); + } + } + } + } + + // 2. Copy user data + if ( dataUser.hasData( src ) ) { + udataOld = dataUser.access( src ); + udataCur = jQuery.extend( {}, udataOld ); + + dataUser.set( dest, udataCur ); + } +} + +// Fix IE bugs, see support tests +function fixInput( src, dest ) { + var nodeName = dest.nodeName.toLowerCase(); + + // Fails to persist the checked state of a cloned checkbox or radio button. + if ( nodeName === "input" && rcheckableType.test( src.type ) ) { + dest.checked = src.checked; + + // Fails to return the selected option to the default selected state when cloning options + } else if ( nodeName === "input" || nodeName === "textarea" ) { + dest.defaultValue = src.defaultValue; + } +} + +function domManip( collection, args, callback, ignored ) { + + // Flatten any nested arrays + args = flat( args ); + + var fragment, first, scripts, hasScripts, node, doc, + i = 0, + l = collection.length, + iNoClone = l - 1, + value = args[ 0 ], + valueIsFunction = isFunction( value ); + + // We can't cloneNode fragments that contain checked, in WebKit + if ( valueIsFunction || + ( l > 1 && typeof value === "string" && + !support.checkClone && rchecked.test( value ) ) ) { + return collection.each( function( index ) { + var self = collection.eq( index ); + if ( valueIsFunction ) { + args[ 0 ] = value.call( this, index, self.html() ); + } + domManip( self, args, callback, ignored ); + } ); + } + + if ( l ) { + fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored ); + first = fragment.firstChild; + + if ( fragment.childNodes.length === 1 ) { + fragment = first; + } + + // Require either new content or an interest in ignored elements to invoke the callback + if ( first || ignored ) { + scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); + hasScripts = scripts.length; + + // Use the original fragment for the last item + // instead of the first because it can end up + // being emptied incorrectly in certain situations (#8070). + for ( ; i < l; i++ ) { + node = fragment; + + if ( i !== iNoClone ) { + node = jQuery.clone( node, true, true ); + + // Keep references to cloned scripts for later restoration + if ( hasScripts ) { + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( scripts, getAll( node, "script" ) ); + } + } + + callback.call( collection[ i ], node, i ); + } + + if ( hasScripts ) { + doc = scripts[ scripts.length - 1 ].ownerDocument; + + // Reenable scripts + jQuery.map( scripts, restoreScript ); + + // Evaluate executable scripts on first document insertion + for ( i = 0; i < hasScripts; i++ ) { + node = scripts[ i ]; + if ( rscriptType.test( node.type || "" ) && + !dataPriv.access( node, "globalEval" ) && + jQuery.contains( doc, node ) ) { + + if ( node.src && ( node.type || "" ).toLowerCase() !== "module" ) { + + // Optional AJAX dependency, but won't run scripts if not present + if ( jQuery._evalUrl && !node.noModule ) { + jQuery._evalUrl( node.src, { + nonce: node.nonce || node.getAttribute( "nonce" ) + }, doc ); + } + } else { + DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc ); + } + } + } + } + } + } + + return collection; +} + +function remove( elem, selector, keepData ) { + var node, + nodes = selector ? jQuery.filter( selector, elem ) : elem, + i = 0; + + for ( ; ( node = nodes[ i ] ) != null; i++ ) { + if ( !keepData && node.nodeType === 1 ) { + jQuery.cleanData( getAll( node ) ); + } + + if ( node.parentNode ) { + if ( keepData && isAttached( node ) ) { + setGlobalEval( getAll( node, "script" ) ); + } + node.parentNode.removeChild( node ); + } + } + + return elem; +} + +jQuery.extend( { + htmlPrefilter: function( html ) { + return html; + }, + + clone: function( elem, dataAndEvents, deepDataAndEvents ) { + var i, l, srcElements, destElements, + clone = elem.cloneNode( true ), + inPage = isAttached( elem ); + + // Fix IE cloning issues + if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && + !jQuery.isXMLDoc( elem ) ) { + + // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2 + destElements = getAll( clone ); + srcElements = getAll( elem ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + fixInput( srcElements[ i ], destElements[ i ] ); + } + } + + // Copy the events from the original to the clone + if ( dataAndEvents ) { + if ( deepDataAndEvents ) { + srcElements = srcElements || getAll( elem ); + destElements = destElements || getAll( clone ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + cloneCopyEvent( srcElements[ i ], destElements[ i ] ); + } + } else { + cloneCopyEvent( elem, clone ); + } + } + + // Preserve script evaluation history + destElements = getAll( clone, "script" ); + if ( destElements.length > 0 ) { + setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); + } + + // Return the cloned set + return clone; + }, + + cleanData: function( elems ) { + var data, elem, type, + special = jQuery.event.special, + i = 0; + + for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) { + if ( acceptData( elem ) ) { + if ( ( data = elem[ dataPriv.expando ] ) ) { + if ( data.events ) { + for ( type in data.events ) { + if ( special[ type ] ) { + jQuery.event.remove( elem, type ); + + // This is a shortcut to avoid jQuery.event.remove's overhead + } else { + jQuery.removeEvent( elem, type, data.handle ); + } + } + } + + // Support: Chrome <=35 - 45+ + // Assign undefined instead of using delete, see Data#remove + elem[ dataPriv.expando ] = undefined; + } + if ( elem[ dataUser.expando ] ) { + + // Support: Chrome <=35 - 45+ + // Assign undefined instead of using delete, see Data#remove + elem[ dataUser.expando ] = undefined; + } + } + } + } +} ); + +jQuery.fn.extend( { + detach: function( selector ) { + return remove( this, selector, true ); + }, + + remove: function( selector ) { + return remove( this, selector ); + }, + + text: function( value ) { + return access( this, function( value ) { + return value === undefined ? + jQuery.text( this ) : + this.empty().each( function() { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + this.textContent = value; + } + } ); + }, null, value, arguments.length ); + }, + + append: function() { + return domManip( this, arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.appendChild( elem ); + } + } ); + }, + + prepend: function() { + return domManip( this, arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.insertBefore( elem, target.firstChild ); + } + } ); + }, + + before: function() { + return domManip( this, arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this ); + } + } ); + }, + + after: function() { + return domManip( this, arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this.nextSibling ); + } + } ); + }, + + empty: function() { + var elem, + i = 0; + + for ( ; ( elem = this[ i ] ) != null; i++ ) { + if ( elem.nodeType === 1 ) { + + // Prevent memory leaks + jQuery.cleanData( getAll( elem, false ) ); + + // Remove any remaining nodes + elem.textContent = ""; + } + } + + return this; + }, + + clone: function( dataAndEvents, deepDataAndEvents ) { + dataAndEvents = dataAndEvents == null ? false : dataAndEvents; + deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; + + return this.map( function() { + return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); + } ); + }, + + html: function( value ) { + return access( this, function( value ) { + var elem = this[ 0 ] || {}, + i = 0, + l = this.length; + + if ( value === undefined && elem.nodeType === 1 ) { + return elem.innerHTML; + } + + // See if we can take a shortcut and just use innerHTML + if ( typeof value === "string" && !rnoInnerhtml.test( value ) && + !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { + + value = jQuery.htmlPrefilter( value ); + + try { + for ( ; i < l; i++ ) { + elem = this[ i ] || {}; + + // Remove element nodes and prevent memory leaks + if ( elem.nodeType === 1 ) { + jQuery.cleanData( getAll( elem, false ) ); + elem.innerHTML = value; + } + } + + elem = 0; + + // If using innerHTML throws an exception, use the fallback method + } catch ( e ) {} + } + + if ( elem ) { + this.empty().append( value ); + } + }, null, value, arguments.length ); + }, + + replaceWith: function() { + var ignored = []; + + // Make the changes, replacing each non-ignored context element with the new content + return domManip( this, arguments, function( elem ) { + var parent = this.parentNode; + + if ( jQuery.inArray( this, ignored ) < 0 ) { + jQuery.cleanData( getAll( this ) ); + if ( parent ) { + parent.replaceChild( elem, this ); + } + } + + // Force callback invocation + }, ignored ); + } +} ); + +jQuery.each( { + appendTo: "append", + prependTo: "prepend", + insertBefore: "before", + insertAfter: "after", + replaceAll: "replaceWith" +}, function( name, original ) { + jQuery.fn[ name ] = function( selector ) { + var elems, + ret = [], + insert = jQuery( selector ), + last = insert.length - 1, + i = 0; + + for ( ; i <= last; i++ ) { + elems = i === last ? this : this.clone( true ); + jQuery( insert[ i ] )[ original ]( elems ); + + // Support: Android <=4.0 only, PhantomJS 1 only + // .get() because push.apply(_, arraylike) throws on ancient WebKit + push.apply( ret, elems.get() ); + } + + return this.pushStack( ret ); + }; +} ); +var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); + +var getStyles = function( elem ) { + + // Support: IE <=11 only, Firefox <=30 (#15098, #14150) + // IE throws on elements created in popups + // FF meanwhile throws on frame elements through "defaultView.getComputedStyle" + var view = elem.ownerDocument.defaultView; + + if ( !view || !view.opener ) { + view = window; + } + + return view.getComputedStyle( elem ); + }; + +var swap = function( elem, options, callback ) { + var ret, name, + old = {}; + + // Remember the old values, and insert the new ones + for ( name in options ) { + old[ name ] = elem.style[ name ]; + elem.style[ name ] = options[ name ]; + } + + ret = callback.call( elem ); + + // Revert the old values + for ( name in options ) { + elem.style[ name ] = old[ name ]; + } + + return ret; +}; + + +var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" ); + + + +( function() { + + // Executing both pixelPosition & boxSizingReliable tests require only one layout + // so they're executed at the same time to save the second computation. + function computeStyleTests() { + + // This is a singleton, we need to execute it only once + if ( !div ) { + return; + } + + container.style.cssText = "position:absolute;left:-11111px;width:60px;" + + "margin-top:1px;padding:0;border:0"; + div.style.cssText = + "position:relative;display:block;box-sizing:border-box;overflow:scroll;" + + "margin:auto;border:1px;padding:1px;" + + "width:60%;top:1%"; + documentElement.appendChild( container ).appendChild( div ); + + var divStyle = window.getComputedStyle( div ); + pixelPositionVal = divStyle.top !== "1%"; + + // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 + reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12; + + // Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3 + // Some styles come back with percentage values, even though they shouldn't + div.style.right = "60%"; + pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36; + + // Support: IE 9 - 11 only + // Detect misreporting of content dimensions for box-sizing:border-box elements + boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36; + + // Support: IE 9 only + // Detect overflow:scroll screwiness (gh-3699) + // Support: Chrome <=64 + // Don't get tricked when zoom affects offsetWidth (gh-4029) + div.style.position = "absolute"; + scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12; + + documentElement.removeChild( container ); + + // Nullify the div so it wouldn't be stored in the memory and + // it will also be a sign that checks already performed + div = null; + } + + function roundPixelMeasures( measure ) { + return Math.round( parseFloat( measure ) ); + } + + var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal, + reliableTrDimensionsVal, reliableMarginLeftVal, + container = document.createElement( "div" ), + div = document.createElement( "div" ); + + // Finish early in limited (non-browser) environments + if ( !div.style ) { + return; + } + + // Support: IE <=9 - 11 only + // Style of cloned element affects source element cloned (#8908) + div.style.backgroundClip = "content-box"; + div.cloneNode( true ).style.backgroundClip = ""; + support.clearCloneStyle = div.style.backgroundClip === "content-box"; + + jQuery.extend( support, { + boxSizingReliable: function() { + computeStyleTests(); + return boxSizingReliableVal; + }, + pixelBoxStyles: function() { + computeStyleTests(); + return pixelBoxStylesVal; + }, + pixelPosition: function() { + computeStyleTests(); + return pixelPositionVal; + }, + reliableMarginLeft: function() { + computeStyleTests(); + return reliableMarginLeftVal; + }, + scrollboxSize: function() { + computeStyleTests(); + return scrollboxSizeVal; + }, + + // Support: IE 9 - 11+, Edge 15 - 18+ + // IE/Edge misreport `getComputedStyle` of table rows with width/height + // set in CSS while `offset*` properties report correct values. + // Behavior in IE 9 is more subtle than in newer versions & it passes + // some versions of this test; make sure not to make it pass there! + reliableTrDimensions: function() { + var table, tr, trChild, trStyle; + if ( reliableTrDimensionsVal == null ) { + table = document.createElement( "table" ); + tr = document.createElement( "tr" ); + trChild = document.createElement( "div" ); + + table.style.cssText = "position:absolute;left:-11111px"; + tr.style.height = "1px"; + trChild.style.height = "9px"; + + documentElement + .appendChild( table ) + .appendChild( tr ) + .appendChild( trChild ); + + trStyle = window.getComputedStyle( tr ); + reliableTrDimensionsVal = parseInt( trStyle.height ) > 3; + + documentElement.removeChild( table ); + } + return reliableTrDimensionsVal; + } + } ); +} )(); + + +function curCSS( elem, name, computed ) { + var width, minWidth, maxWidth, ret, + + // Support: Firefox 51+ + // Retrieving style before computed somehow + // fixes an issue with getting wrong values + // on detached elements + style = elem.style; + + computed = computed || getStyles( elem ); + + // getPropertyValue is needed for: + // .css('filter') (IE 9 only, #12537) + // .css('--customProperty) (#3144) + if ( computed ) { + ret = computed.getPropertyValue( name ) || computed[ name ]; + + if ( ret === "" && !isAttached( elem ) ) { + ret = jQuery.style( elem, name ); + } + + // A tribute to the "awesome hack by Dean Edwards" + // Android Browser returns percentage for some values, + // but width seems to be reliably pixels. + // This is against the CSSOM draft spec: + // https://drafts.csswg.org/cssom/#resolved-values + if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) { + + // Remember the original values + width = style.width; + minWidth = style.minWidth; + maxWidth = style.maxWidth; + + // Put in the new values to get a computed value out + style.minWidth = style.maxWidth = style.width = ret; + ret = computed.width; + + // Revert the changed values + style.width = width; + style.minWidth = minWidth; + style.maxWidth = maxWidth; + } + } + + return ret !== undefined ? + + // Support: IE <=9 - 11 only + // IE returns zIndex value as an integer. + ret + "" : + ret; +} + + +function addGetHookIf( conditionFn, hookFn ) { + + // Define the hook, we'll check on the first run if it's really needed. + return { + get: function() { + if ( conditionFn() ) { + + // Hook not needed (or it's not possible to use it due + // to missing dependency), remove it. + delete this.get; + return; + } + + // Hook needed; redefine it so that the support test is not executed again. + return ( this.get = hookFn ).apply( this, arguments ); + } + }; +} + + +var cssPrefixes = [ "Webkit", "Moz", "ms" ], + emptyStyle = document.createElement( "div" ).style, + vendorProps = {}; + +// Return a vendor-prefixed property or undefined +function vendorPropName( name ) { + + // Check for vendor prefixed names + var capName = name[ 0 ].toUpperCase() + name.slice( 1 ), + i = cssPrefixes.length; + + while ( i-- ) { + name = cssPrefixes[ i ] + capName; + if ( name in emptyStyle ) { + return name; + } + } +} + +// Return a potentially-mapped jQuery.cssProps or vendor prefixed property +function finalPropName( name ) { + var final = jQuery.cssProps[ name ] || vendorProps[ name ]; + + if ( final ) { + return final; + } + if ( name in emptyStyle ) { + return name; + } + return vendorProps[ name ] = vendorPropName( name ) || name; +} + + +var + + // Swappable if display is none or starts with table + // except "table", "table-cell", or "table-caption" + // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display + rdisplayswap = /^(none|table(?!-c[ea]).+)/, + rcustomProp = /^--/, + cssShow = { position: "absolute", visibility: "hidden", display: "block" }, + cssNormalTransform = { + letterSpacing: "0", + fontWeight: "400" + }; + +function setPositiveNumber( _elem, value, subtract ) { + + // Any relative (+/-) values have already been + // normalized at this point + var matches = rcssNum.exec( value ); + return matches ? + + // Guard against undefined "subtract", e.g., when used as in cssHooks + Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) : + value; +} + +function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) { + var i = dimension === "width" ? 1 : 0, + extra = 0, + delta = 0; + + // Adjustment may not be necessary + if ( box === ( isBorderBox ? "border" : "content" ) ) { + return 0; + } + + for ( ; i < 4; i += 2 ) { + + // Both box models exclude margin + if ( box === "margin" ) { + delta += jQuery.css( elem, box + cssExpand[ i ], true, styles ); + } + + // If we get here with a content-box, we're seeking "padding" or "border" or "margin" + if ( !isBorderBox ) { + + // Add padding + delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + + // For "border" or "margin", add border + if ( box !== "padding" ) { + delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + + // But still keep track of it otherwise + } else { + extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + + // If we get here with a border-box (content + padding + border), we're seeking "content" or + // "padding" or "margin" + } else { + + // For "content", subtract padding + if ( box === "content" ) { + delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + } + + // For "content" or "padding", subtract border + if ( box !== "margin" ) { + delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + } + } + + // Account for positive content-box scroll gutter when requested by providing computedVal + if ( !isBorderBox && computedVal >= 0 ) { + + // offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border + // Assuming integer scroll gutter, subtract the rest and round down + delta += Math.max( 0, Math.ceil( + elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - + computedVal - + delta - + extra - + 0.5 + + // If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter + // Use an explicit zero to avoid NaN (gh-3964) + ) ) || 0; + } + + return delta; +} + +function getWidthOrHeight( elem, dimension, extra ) { + + // Start with computed style + var styles = getStyles( elem ), + + // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322). + // Fake content-box until we know it's needed to know the true value. + boxSizingNeeded = !support.boxSizingReliable() || extra, + isBorderBox = boxSizingNeeded && + jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + valueIsBorderBox = isBorderBox, + + val = curCSS( elem, dimension, styles ), + offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ); + + // Support: Firefox <=54 + // Return a confounding non-pixel value or feign ignorance, as appropriate. + if ( rnumnonpx.test( val ) ) { + if ( !extra ) { + return val; + } + val = "auto"; + } + + + // Support: IE 9 - 11 only + // Use offsetWidth/offsetHeight for when box sizing is unreliable. + // In those cases, the computed value can be trusted to be border-box. + if ( ( !support.boxSizingReliable() && isBorderBox || + + // Support: IE 10 - 11+, Edge 15 - 18+ + // IE/Edge misreport `getComputedStyle` of table rows with width/height + // set in CSS while `offset*` properties report correct values. + // Interestingly, in some cases IE 9 doesn't suffer from this issue. + !support.reliableTrDimensions() && nodeName( elem, "tr" ) || + + // Fall back to offsetWidth/offsetHeight when value is "auto" + // This happens for inline elements with no explicit setting (gh-3571) + val === "auto" || + + // Support: Android <=4.1 - 4.3 only + // Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602) + !parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) && + + // Make sure the element is visible & connected + elem.getClientRects().length ) { + + isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; + + // Where available, offsetWidth/offsetHeight approximate border box dimensions. + // Where not available (e.g., SVG), assume unreliable box-sizing and interpret the + // retrieved value as a content box dimension. + valueIsBorderBox = offsetProp in elem; + if ( valueIsBorderBox ) { + val = elem[ offsetProp ]; + } + } + + // Normalize "" and auto + val = parseFloat( val ) || 0; + + // Adjust for the element's box model + return ( val + + boxModelAdjustment( + elem, + dimension, + extra || ( isBorderBox ? "border" : "content" ), + valueIsBorderBox, + styles, + + // Provide the current computed size to request scroll gutter calculation (gh-3589) + val + ) + ) + "px"; +} + +jQuery.extend( { + + // Add in style property hooks for overriding the default + // behavior of getting and setting a style property + cssHooks: { + opacity: { + get: function( elem, computed ) { + if ( computed ) { + + // We should always get a number back from opacity + var ret = curCSS( elem, "opacity" ); + return ret === "" ? "1" : ret; + } + } + } + }, + + // Don't automatically add "px" to these possibly-unitless properties + cssNumber: { + "animationIterationCount": true, + "columnCount": true, + "fillOpacity": true, + "flexGrow": true, + "flexShrink": true, + "fontWeight": true, + "gridArea": true, + "gridColumn": true, + "gridColumnEnd": true, + "gridColumnStart": true, + "gridRow": true, + "gridRowEnd": true, + "gridRowStart": true, + "lineHeight": true, + "opacity": true, + "order": true, + "orphans": true, + "widows": true, + "zIndex": true, + "zoom": true + }, + + // Add in properties whose names you wish to fix before + // setting or getting the value + cssProps: {}, + + // Get and set the style property on a DOM Node + style: function( elem, name, value, extra ) { + + // Don't set styles on text and comment nodes + if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { + return; + } + + // Make sure that we're working with the right name + var ret, type, hooks, + origName = camelCase( name ), + isCustomProp = rcustomProp.test( name ), + style = elem.style; + + // Make sure that we're working with the right name. We don't + // want to query the value if it is a CSS custom property + // since they are user-defined. + if ( !isCustomProp ) { + name = finalPropName( origName ); + } + + // Gets hook for the prefixed version, then unprefixed version + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // Check if we're setting a value + if ( value !== undefined ) { + type = typeof value; + + // Convert "+=" or "-=" to relative numbers (#7345) + if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) { + value = adjustCSS( elem, name, ret ); + + // Fixes bug #9237 + type = "number"; + } + + // Make sure that null and NaN values aren't set (#7116) + if ( value == null || value !== value ) { + return; + } + + // If a number was passed in, add the unit (except for certain CSS properties) + // The isCustomProp check can be removed in jQuery 4.0 when we only auto-append + // "px" to a few hardcoded values. + if ( type === "number" && !isCustomProp ) { + value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" ); + } + + // background-* props affect original clone's values + if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) { + style[ name ] = "inherit"; + } + + // If a hook was provided, use that value, otherwise just set the specified value + if ( !hooks || !( "set" in hooks ) || + ( value = hooks.set( elem, value, extra ) ) !== undefined ) { + + if ( isCustomProp ) { + style.setProperty( name, value ); + } else { + style[ name ] = value; + } + } + + } else { + + // If a hook was provided get the non-computed value from there + if ( hooks && "get" in hooks && + ( ret = hooks.get( elem, false, extra ) ) !== undefined ) { + + return ret; + } + + // Otherwise just get the value from the style object + return style[ name ]; + } + }, + + css: function( elem, name, extra, styles ) { + var val, num, hooks, + origName = camelCase( name ), + isCustomProp = rcustomProp.test( name ); + + // Make sure that we're working with the right name. We don't + // want to modify the value if it is a CSS custom property + // since they are user-defined. + if ( !isCustomProp ) { + name = finalPropName( origName ); + } + + // Try prefixed name followed by the unprefixed name + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // If a hook was provided get the computed value from there + if ( hooks && "get" in hooks ) { + val = hooks.get( elem, true, extra ); + } + + // Otherwise, if a way to get the computed value exists, use that + if ( val === undefined ) { + val = curCSS( elem, name, styles ); + } + + // Convert "normal" to computed value + if ( val === "normal" && name in cssNormalTransform ) { + val = cssNormalTransform[ name ]; + } + + // Make numeric if forced or a qualifier was provided and val looks numeric + if ( extra === "" || extra ) { + num = parseFloat( val ); + return extra === true || isFinite( num ) ? num || 0 : val; + } + + return val; + } +} ); + +jQuery.each( [ "height", "width" ], function( _i, dimension ) { + jQuery.cssHooks[ dimension ] = { + get: function( elem, computed, extra ) { + if ( computed ) { + + // Certain elements can have dimension info if we invisibly show them + // but it must have a current display style that would benefit + return rdisplayswap.test( jQuery.css( elem, "display" ) ) && + + // Support: Safari 8+ + // Table columns in Safari have non-zero offsetWidth & zero + // getBoundingClientRect().width unless display is changed. + // Support: IE <=11 only + // Running getBoundingClientRect on a disconnected node + // in IE throws an error. + ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? + swap( elem, cssShow, function() { + return getWidthOrHeight( elem, dimension, extra ); + } ) : + getWidthOrHeight( elem, dimension, extra ); + } + }, + + set: function( elem, value, extra ) { + var matches, + styles = getStyles( elem ), + + // Only read styles.position if the test has a chance to fail + // to avoid forcing a reflow. + scrollboxSizeBuggy = !support.scrollboxSize() && + styles.position === "absolute", + + // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991) + boxSizingNeeded = scrollboxSizeBuggy || extra, + isBorderBox = boxSizingNeeded && + jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + subtract = extra ? + boxModelAdjustment( + elem, + dimension, + extra, + isBorderBox, + styles + ) : + 0; + + // Account for unreliable border-box dimensions by comparing offset* to computed and + // faking a content-box to get border and padding (gh-3699) + if ( isBorderBox && scrollboxSizeBuggy ) { + subtract -= Math.ceil( + elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - + parseFloat( styles[ dimension ] ) - + boxModelAdjustment( elem, dimension, "border", false, styles ) - + 0.5 + ); + } + + // Convert to pixels if value adjustment is needed + if ( subtract && ( matches = rcssNum.exec( value ) ) && + ( matches[ 3 ] || "px" ) !== "px" ) { + + elem.style[ dimension ] = value; + value = jQuery.css( elem, dimension ); + } + + return setPositiveNumber( elem, value, subtract ); + } + }; +} ); + +jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft, + function( elem, computed ) { + if ( computed ) { + return ( parseFloat( curCSS( elem, "marginLeft" ) ) || + elem.getBoundingClientRect().left - + swap( elem, { marginLeft: 0 }, function() { + return elem.getBoundingClientRect().left; + } ) + ) + "px"; + } + } +); + +// These hooks are used by animate to expand properties +jQuery.each( { + margin: "", + padding: "", + border: "Width" +}, function( prefix, suffix ) { + jQuery.cssHooks[ prefix + suffix ] = { + expand: function( value ) { + var i = 0, + expanded = {}, + + // Assumes a single number if not a string + parts = typeof value === "string" ? value.split( " " ) : [ value ]; + + for ( ; i < 4; i++ ) { + expanded[ prefix + cssExpand[ i ] + suffix ] = + parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; + } + + return expanded; + } + }; + + if ( prefix !== "margin" ) { + jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; + } +} ); + +jQuery.fn.extend( { + css: function( name, value ) { + return access( this, function( elem, name, value ) { + var styles, len, + map = {}, + i = 0; + + if ( Array.isArray( name ) ) { + styles = getStyles( elem ); + len = name.length; + + for ( ; i < len; i++ ) { + map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); + } + + return map; + } + + return value !== undefined ? + jQuery.style( elem, name, value ) : + jQuery.css( elem, name ); + }, name, value, arguments.length > 1 ); + } +} ); + + +function Tween( elem, options, prop, end, easing ) { + return new Tween.prototype.init( elem, options, prop, end, easing ); +} +jQuery.Tween = Tween; + +Tween.prototype = { + constructor: Tween, + init: function( elem, options, prop, end, easing, unit ) { + this.elem = elem; + this.prop = prop; + this.easing = easing || jQuery.easing._default; + this.options = options; + this.start = this.now = this.cur(); + this.end = end; + this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); + }, + cur: function() { + var hooks = Tween.propHooks[ this.prop ]; + + return hooks && hooks.get ? + hooks.get( this ) : + Tween.propHooks._default.get( this ); + }, + run: function( percent ) { + var eased, + hooks = Tween.propHooks[ this.prop ]; + + if ( this.options.duration ) { + this.pos = eased = jQuery.easing[ this.easing ]( + percent, this.options.duration * percent, 0, 1, this.options.duration + ); + } else { + this.pos = eased = percent; + } + this.now = ( this.end - this.start ) * eased + this.start; + + if ( this.options.step ) { + this.options.step.call( this.elem, this.now, this ); + } + + if ( hooks && hooks.set ) { + hooks.set( this ); + } else { + Tween.propHooks._default.set( this ); + } + return this; + } +}; + +Tween.prototype.init.prototype = Tween.prototype; + +Tween.propHooks = { + _default: { + get: function( tween ) { + var result; + + // Use a property on the element directly when it is not a DOM element, + // or when there is no matching style property that exists. + if ( tween.elem.nodeType !== 1 || + tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) { + return tween.elem[ tween.prop ]; + } + + // Passing an empty string as a 3rd parameter to .css will automatically + // attempt a parseFloat and fallback to a string if the parse fails. + // Simple values such as "10px" are parsed to Float; + // complex values such as "rotate(1rad)" are returned as-is. + result = jQuery.css( tween.elem, tween.prop, "" ); + + // Empty strings, null, undefined and "auto" are converted to 0. + return !result || result === "auto" ? 0 : result; + }, + set: function( tween ) { + + // Use step hook for back compat. + // Use cssHook if its there. + // Use .style if available and use plain properties where available. + if ( jQuery.fx.step[ tween.prop ] ) { + jQuery.fx.step[ tween.prop ]( tween ); + } else if ( tween.elem.nodeType === 1 && ( + jQuery.cssHooks[ tween.prop ] || + tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) { + jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); + } else { + tween.elem[ tween.prop ] = tween.now; + } + } + } +}; + +// Support: IE <=9 only +// Panic based approach to setting things on disconnected nodes +Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { + set: function( tween ) { + if ( tween.elem.nodeType && tween.elem.parentNode ) { + tween.elem[ tween.prop ] = tween.now; + } + } +}; + +jQuery.easing = { + linear: function( p ) { + return p; + }, + swing: function( p ) { + return 0.5 - Math.cos( p * Math.PI ) / 2; + }, + _default: "swing" +}; + +jQuery.fx = Tween.prototype.init; + +// Back compat <1.8 extension point +jQuery.fx.step = {}; + + + + +var + fxNow, inProgress, + rfxtypes = /^(?:toggle|show|hide)$/, + rrun = /queueHooks$/; + +function schedule() { + if ( inProgress ) { + if ( document.hidden === false && window.requestAnimationFrame ) { + window.requestAnimationFrame( schedule ); + } else { + window.setTimeout( schedule, jQuery.fx.interval ); + } + + jQuery.fx.tick(); + } +} + +// Animations created synchronously will run synchronously +function createFxNow() { + window.setTimeout( function() { + fxNow = undefined; + } ); + return ( fxNow = Date.now() ); +} + +// Generate parameters to create a standard animation +function genFx( type, includeWidth ) { + var which, + i = 0, + attrs = { height: type }; + + // If we include width, step value is 1 to do all cssExpand values, + // otherwise step value is 2 to skip over Left and Right + includeWidth = includeWidth ? 1 : 0; + for ( ; i < 4; i += 2 - includeWidth ) { + which = cssExpand[ i ]; + attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; + } + + if ( includeWidth ) { + attrs.opacity = attrs.width = type; + } + + return attrs; +} + +function createTween( value, prop, animation ) { + var tween, + collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ), + index = 0, + length = collection.length; + for ( ; index < length; index++ ) { + if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) { + + // We're done with this property + return tween; + } + } +} + +function defaultPrefilter( elem, props, opts ) { + var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display, + isBox = "width" in props || "height" in props, + anim = this, + orig = {}, + style = elem.style, + hidden = elem.nodeType && isHiddenWithinTree( elem ), + dataShow = dataPriv.get( elem, "fxshow" ); + + // Queue-skipping animations hijack the fx hooks + if ( !opts.queue ) { + hooks = jQuery._queueHooks( elem, "fx" ); + if ( hooks.unqueued == null ) { + hooks.unqueued = 0; + oldfire = hooks.empty.fire; + hooks.empty.fire = function() { + if ( !hooks.unqueued ) { + oldfire(); + } + }; + } + hooks.unqueued++; + + anim.always( function() { + + // Ensure the complete handler is called before this completes + anim.always( function() { + hooks.unqueued--; + if ( !jQuery.queue( elem, "fx" ).length ) { + hooks.empty.fire(); + } + } ); + } ); + } + + // Detect show/hide animations + for ( prop in props ) { + value = props[ prop ]; + if ( rfxtypes.test( value ) ) { + delete props[ prop ]; + toggle = toggle || value === "toggle"; + if ( value === ( hidden ? "hide" : "show" ) ) { + + // Pretend to be hidden if this is a "show" and + // there is still data from a stopped show/hide + if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) { + hidden = true; + + // Ignore all other no-op show/hide data + } else { + continue; + } + } + orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop ); + } + } + + // Bail out if this is a no-op like .hide().hide() + propTween = !jQuery.isEmptyObject( props ); + if ( !propTween && jQuery.isEmptyObject( orig ) ) { + return; + } + + // Restrict "overflow" and "display" styles during box animations + if ( isBox && elem.nodeType === 1 ) { + + // Support: IE <=9 - 11, Edge 12 - 15 + // Record all 3 overflow attributes because IE does not infer the shorthand + // from identically-valued overflowX and overflowY and Edge just mirrors + // the overflowX value there. + opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; + + // Identify a display type, preferring old show/hide data over the CSS cascade + restoreDisplay = dataShow && dataShow.display; + if ( restoreDisplay == null ) { + restoreDisplay = dataPriv.get( elem, "display" ); + } + display = jQuery.css( elem, "display" ); + if ( display === "none" ) { + if ( restoreDisplay ) { + display = restoreDisplay; + } else { + + // Get nonempty value(s) by temporarily forcing visibility + showHide( [ elem ], true ); + restoreDisplay = elem.style.display || restoreDisplay; + display = jQuery.css( elem, "display" ); + showHide( [ elem ] ); + } + } + + // Animate inline elements as inline-block + if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) { + if ( jQuery.css( elem, "float" ) === "none" ) { + + // Restore the original display value at the end of pure show/hide animations + if ( !propTween ) { + anim.done( function() { + style.display = restoreDisplay; + } ); + if ( restoreDisplay == null ) { + display = style.display; + restoreDisplay = display === "none" ? "" : display; + } + } + style.display = "inline-block"; + } + } + } + + if ( opts.overflow ) { + style.overflow = "hidden"; + anim.always( function() { + style.overflow = opts.overflow[ 0 ]; + style.overflowX = opts.overflow[ 1 ]; + style.overflowY = opts.overflow[ 2 ]; + } ); + } + + // Implement show/hide animations + propTween = false; + for ( prop in orig ) { + + // General show/hide setup for this element animation + if ( !propTween ) { + if ( dataShow ) { + if ( "hidden" in dataShow ) { + hidden = dataShow.hidden; + } + } else { + dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } ); + } + + // Store hidden/visible for toggle so `.stop().toggle()` "reverses" + if ( toggle ) { + dataShow.hidden = !hidden; + } + + // Show elements before animating them + if ( hidden ) { + showHide( [ elem ], true ); + } + + /* eslint-disable no-loop-func */ + + anim.done( function() { + + /* eslint-enable no-loop-func */ + + // The final step of a "hide" animation is actually hiding the element + if ( !hidden ) { + showHide( [ elem ] ); + } + dataPriv.remove( elem, "fxshow" ); + for ( prop in orig ) { + jQuery.style( elem, prop, orig[ prop ] ); + } + } ); + } + + // Per-property setup + propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim ); + if ( !( prop in dataShow ) ) { + dataShow[ prop ] = propTween.start; + if ( hidden ) { + propTween.end = propTween.start; + propTween.start = 0; + } + } + } +} + +function propFilter( props, specialEasing ) { + var index, name, easing, value, hooks; + + // camelCase, specialEasing and expand cssHook pass + for ( index in props ) { + name = camelCase( index ); + easing = specialEasing[ name ]; + value = props[ index ]; + if ( Array.isArray( value ) ) { + easing = value[ 1 ]; + value = props[ index ] = value[ 0 ]; + } + + if ( index !== name ) { + props[ name ] = value; + delete props[ index ]; + } + + hooks = jQuery.cssHooks[ name ]; + if ( hooks && "expand" in hooks ) { + value = hooks.expand( value ); + delete props[ name ]; + + // Not quite $.extend, this won't overwrite existing keys. + // Reusing 'index' because we have the correct "name" + for ( index in value ) { + if ( !( index in props ) ) { + props[ index ] = value[ index ]; + specialEasing[ index ] = easing; + } + } + } else { + specialEasing[ name ] = easing; + } + } +} + +function Animation( elem, properties, options ) { + var result, + stopped, + index = 0, + length = Animation.prefilters.length, + deferred = jQuery.Deferred().always( function() { + + // Don't match elem in the :animated selector + delete tick.elem; + } ), + tick = function() { + if ( stopped ) { + return false; + } + var currentTime = fxNow || createFxNow(), + remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), + + // Support: Android 2.3 only + // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497) + temp = remaining / animation.duration || 0, + percent = 1 - temp, + index = 0, + length = animation.tweens.length; + + for ( ; index < length; index++ ) { + animation.tweens[ index ].run( percent ); + } + + deferred.notifyWith( elem, [ animation, percent, remaining ] ); + + // If there's more to do, yield + if ( percent < 1 && length ) { + return remaining; + } + + // If this was an empty animation, synthesize a final progress notification + if ( !length ) { + deferred.notifyWith( elem, [ animation, 1, 0 ] ); + } + + // Resolve the animation and report its conclusion + deferred.resolveWith( elem, [ animation ] ); + return false; + }, + animation = deferred.promise( { + elem: elem, + props: jQuery.extend( {}, properties ), + opts: jQuery.extend( true, { + specialEasing: {}, + easing: jQuery.easing._default + }, options ), + originalProperties: properties, + originalOptions: options, + startTime: fxNow || createFxNow(), + duration: options.duration, + tweens: [], + createTween: function( prop, end ) { + var tween = jQuery.Tween( elem, animation.opts, prop, end, + animation.opts.specialEasing[ prop ] || animation.opts.easing ); + animation.tweens.push( tween ); + return tween; + }, + stop: function( gotoEnd ) { + var index = 0, + + // If we are going to the end, we want to run all the tweens + // otherwise we skip this part + length = gotoEnd ? animation.tweens.length : 0; + if ( stopped ) { + return this; + } + stopped = true; + for ( ; index < length; index++ ) { + animation.tweens[ index ].run( 1 ); + } + + // Resolve when we played the last frame; otherwise, reject + if ( gotoEnd ) { + deferred.notifyWith( elem, [ animation, 1, 0 ] ); + deferred.resolveWith( elem, [ animation, gotoEnd ] ); + } else { + deferred.rejectWith( elem, [ animation, gotoEnd ] ); + } + return this; + } + } ), + props = animation.props; + + propFilter( props, animation.opts.specialEasing ); + + for ( ; index < length; index++ ) { + result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); + if ( result ) { + if ( isFunction( result.stop ) ) { + jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = + result.stop.bind( result ); + } + return result; + } + } + + jQuery.map( props, createTween, animation ); + + if ( isFunction( animation.opts.start ) ) { + animation.opts.start.call( elem, animation ); + } + + // Attach callbacks from options + animation + .progress( animation.opts.progress ) + .done( animation.opts.done, animation.opts.complete ) + .fail( animation.opts.fail ) + .always( animation.opts.always ); + + jQuery.fx.timer( + jQuery.extend( tick, { + elem: elem, + anim: animation, + queue: animation.opts.queue + } ) + ); + + return animation; +} + +jQuery.Animation = jQuery.extend( Animation, { + + tweeners: { + "*": [ function( prop, value ) { + var tween = this.createTween( prop, value ); + adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween ); + return tween; + } ] + }, + + tweener: function( props, callback ) { + if ( isFunction( props ) ) { + callback = props; + props = [ "*" ]; + } else { + props = props.match( rnothtmlwhite ); + } + + var prop, + index = 0, + length = props.length; + + for ( ; index < length; index++ ) { + prop = props[ index ]; + Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || []; + Animation.tweeners[ prop ].unshift( callback ); + } + }, + + prefilters: [ defaultPrefilter ], + + prefilter: function( callback, prepend ) { + if ( prepend ) { + Animation.prefilters.unshift( callback ); + } else { + Animation.prefilters.push( callback ); + } + } +} ); + +jQuery.speed = function( speed, easing, fn ) { + var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { + complete: fn || !fn && easing || + isFunction( speed ) && speed, + duration: speed, + easing: fn && easing || easing && !isFunction( easing ) && easing + }; + + // Go to the end state if fx are off + if ( jQuery.fx.off ) { + opt.duration = 0; + + } else { + if ( typeof opt.duration !== "number" ) { + if ( opt.duration in jQuery.fx.speeds ) { + opt.duration = jQuery.fx.speeds[ opt.duration ]; + + } else { + opt.duration = jQuery.fx.speeds._default; + } + } + } + + // Normalize opt.queue - true/undefined/null -> "fx" + if ( opt.queue == null || opt.queue === true ) { + opt.queue = "fx"; + } + + // Queueing + opt.old = opt.complete; + + opt.complete = function() { + if ( isFunction( opt.old ) ) { + opt.old.call( this ); + } + + if ( opt.queue ) { + jQuery.dequeue( this, opt.queue ); + } + }; + + return opt; +}; + +jQuery.fn.extend( { + fadeTo: function( speed, to, easing, callback ) { + + // Show any hidden elements after setting opacity to 0 + return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show() + + // Animate to the value specified + .end().animate( { opacity: to }, speed, easing, callback ); + }, + animate: function( prop, speed, easing, callback ) { + var empty = jQuery.isEmptyObject( prop ), + optall = jQuery.speed( speed, easing, callback ), + doAnimation = function() { + + // Operate on a copy of prop so per-property easing won't be lost + var anim = Animation( this, jQuery.extend( {}, prop ), optall ); + + // Empty animations, or finishing resolves immediately + if ( empty || dataPriv.get( this, "finish" ) ) { + anim.stop( true ); + } + }; + doAnimation.finish = doAnimation; + + return empty || optall.queue === false ? + this.each( doAnimation ) : + this.queue( optall.queue, doAnimation ); + }, + stop: function( type, clearQueue, gotoEnd ) { + var stopQueue = function( hooks ) { + var stop = hooks.stop; + delete hooks.stop; + stop( gotoEnd ); + }; + + if ( typeof type !== "string" ) { + gotoEnd = clearQueue; + clearQueue = type; + type = undefined; + } + if ( clearQueue ) { + this.queue( type || "fx", [] ); + } + + return this.each( function() { + var dequeue = true, + index = type != null && type + "queueHooks", + timers = jQuery.timers, + data = dataPriv.get( this ); + + if ( index ) { + if ( data[ index ] && data[ index ].stop ) { + stopQueue( data[ index ] ); + } + } else { + for ( index in data ) { + if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { + stopQueue( data[ index ] ); + } + } + } + + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && + ( type == null || timers[ index ].queue === type ) ) { + + timers[ index ].anim.stop( gotoEnd ); + dequeue = false; + timers.splice( index, 1 ); + } + } + + // Start the next in the queue if the last step wasn't forced. + // Timers currently will call their complete callbacks, which + // will dequeue but only if they were gotoEnd. + if ( dequeue || !gotoEnd ) { + jQuery.dequeue( this, type ); + } + } ); + }, + finish: function( type ) { + if ( type !== false ) { + type = type || "fx"; + } + return this.each( function() { + var index, + data = dataPriv.get( this ), + queue = data[ type + "queue" ], + hooks = data[ type + "queueHooks" ], + timers = jQuery.timers, + length = queue ? queue.length : 0; + + // Enable finishing flag on private data + data.finish = true; + + // Empty the queue first + jQuery.queue( this, type, [] ); + + if ( hooks && hooks.stop ) { + hooks.stop.call( this, true ); + } + + // Look for any active animations, and finish them + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && timers[ index ].queue === type ) { + timers[ index ].anim.stop( true ); + timers.splice( index, 1 ); + } + } + + // Look for any animations in the old queue and finish them + for ( index = 0; index < length; index++ ) { + if ( queue[ index ] && queue[ index ].finish ) { + queue[ index ].finish.call( this ); + } + } + + // Turn off finishing flag + delete data.finish; + } ); + } +} ); + +jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) { + var cssFn = jQuery.fn[ name ]; + jQuery.fn[ name ] = function( speed, easing, callback ) { + return speed == null || typeof speed === "boolean" ? + cssFn.apply( this, arguments ) : + this.animate( genFx( name, true ), speed, easing, callback ); + }; +} ); + +// Generate shortcuts for custom animations +jQuery.each( { + slideDown: genFx( "show" ), + slideUp: genFx( "hide" ), + slideToggle: genFx( "toggle" ), + fadeIn: { opacity: "show" }, + fadeOut: { opacity: "hide" }, + fadeToggle: { opacity: "toggle" } +}, function( name, props ) { + jQuery.fn[ name ] = function( speed, easing, callback ) { + return this.animate( props, speed, easing, callback ); + }; +} ); + +jQuery.timers = []; +jQuery.fx.tick = function() { + var timer, + i = 0, + timers = jQuery.timers; + + fxNow = Date.now(); + + for ( ; i < timers.length; i++ ) { + timer = timers[ i ]; + + // Run the timer and safely remove it when done (allowing for external removal) + if ( !timer() && timers[ i ] === timer ) { + timers.splice( i--, 1 ); + } + } + + if ( !timers.length ) { + jQuery.fx.stop(); + } + fxNow = undefined; +}; + +jQuery.fx.timer = function( timer ) { + jQuery.timers.push( timer ); + jQuery.fx.start(); +}; + +jQuery.fx.interval = 13; +jQuery.fx.start = function() { + if ( inProgress ) { + return; + } + + inProgress = true; + schedule(); +}; + +jQuery.fx.stop = function() { + inProgress = null; +}; + +jQuery.fx.speeds = { + slow: 600, + fast: 200, + + // Default speed + _default: 400 +}; + + +// Based off of the plugin by Clint Helfers, with permission. +// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/ +jQuery.fn.delay = function( time, type ) { + time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; + type = type || "fx"; + + return this.queue( type, function( next, hooks ) { + var timeout = window.setTimeout( next, time ); + hooks.stop = function() { + window.clearTimeout( timeout ); + }; + } ); +}; + + +( function() { + var input = document.createElement( "input" ), + select = document.createElement( "select" ), + opt = select.appendChild( document.createElement( "option" ) ); + + input.type = "checkbox"; + + // Support: Android <=4.3 only + // Default value for a checkbox should be "on" + support.checkOn = input.value !== ""; + + // Support: IE <=11 only + // Must access selectedIndex to make default options select + support.optSelected = opt.selected; + + // Support: IE <=11 only + // An input loses its value after becoming a radio + input = document.createElement( "input" ); + input.value = "t"; + input.type = "radio"; + support.radioValue = input.value === "t"; +} )(); + + +var boolHook, + attrHandle = jQuery.expr.attrHandle; + +jQuery.fn.extend( { + attr: function( name, value ) { + return access( this, jQuery.attr, name, value, arguments.length > 1 ); + }, + + removeAttr: function( name ) { + return this.each( function() { + jQuery.removeAttr( this, name ); + } ); + } +} ); + +jQuery.extend( { + attr: function( elem, name, value ) { + var ret, hooks, + nType = elem.nodeType; + + // Don't get/set attributes on text, comment and attribute nodes + if ( nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + // Fallback to prop when attributes are not supported + if ( typeof elem.getAttribute === "undefined" ) { + return jQuery.prop( elem, name, value ); + } + + // Attribute hooks are determined by the lowercase version + // Grab necessary hook if one is defined + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + hooks = jQuery.attrHooks[ name.toLowerCase() ] || + ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined ); + } + + if ( value !== undefined ) { + if ( value === null ) { + jQuery.removeAttr( elem, name ); + return; + } + + if ( hooks && "set" in hooks && + ( ret = hooks.set( elem, value, name ) ) !== undefined ) { + return ret; + } + + elem.setAttribute( name, value + "" ); + return value; + } + + if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { + return ret; + } + + ret = jQuery.find.attr( elem, name ); + + // Non-existent attributes return null, we normalize to undefined + return ret == null ? undefined : ret; + }, + + attrHooks: { + type: { + set: function( elem, value ) { + if ( !support.radioValue && value === "radio" && + nodeName( elem, "input" ) ) { + var val = elem.value; + elem.setAttribute( "type", value ); + if ( val ) { + elem.value = val; + } + return value; + } + } + } + }, + + removeAttr: function( elem, value ) { + var name, + i = 0, + + // Attribute names can contain non-HTML whitespace characters + // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2 + attrNames = value && value.match( rnothtmlwhite ); + + if ( attrNames && elem.nodeType === 1 ) { + while ( ( name = attrNames[ i++ ] ) ) { + elem.removeAttribute( name ); + } + } + } +} ); + +// Hooks for boolean attributes +boolHook = { + set: function( elem, value, name ) { + if ( value === false ) { + + // Remove boolean attributes when set to false + jQuery.removeAttr( elem, name ); + } else { + elem.setAttribute( name, name ); + } + return name; + } +}; + +jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) { + var getter = attrHandle[ name ] || jQuery.find.attr; + + attrHandle[ name ] = function( elem, name, isXML ) { + var ret, handle, + lowercaseName = name.toLowerCase(); + + if ( !isXML ) { + + // Avoid an infinite loop by temporarily removing this function from the getter + handle = attrHandle[ lowercaseName ]; + attrHandle[ lowercaseName ] = ret; + ret = getter( elem, name, isXML ) != null ? + lowercaseName : + null; + attrHandle[ lowercaseName ] = handle; + } + return ret; + }; +} ); + + + + +var rfocusable = /^(?:input|select|textarea|button)$/i, + rclickable = /^(?:a|area)$/i; + +jQuery.fn.extend( { + prop: function( name, value ) { + return access( this, jQuery.prop, name, value, arguments.length > 1 ); + }, + + removeProp: function( name ) { + return this.each( function() { + delete this[ jQuery.propFix[ name ] || name ]; + } ); + } +} ); + +jQuery.extend( { + prop: function( elem, name, value ) { + var ret, hooks, + nType = elem.nodeType; + + // Don't get/set properties on text, comment and attribute nodes + if ( nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + + // Fix name and attach hooks + name = jQuery.propFix[ name ] || name; + hooks = jQuery.propHooks[ name ]; + } + + if ( value !== undefined ) { + if ( hooks && "set" in hooks && + ( ret = hooks.set( elem, value, name ) ) !== undefined ) { + return ret; + } + + return ( elem[ name ] = value ); + } + + if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { + return ret; + } + + return elem[ name ]; + }, + + propHooks: { + tabIndex: { + get: function( elem ) { + + // Support: IE <=9 - 11 only + // elem.tabIndex doesn't always return the + // correct value when it hasn't been explicitly set + // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/ + // Use proper attribute retrieval(#12072) + var tabindex = jQuery.find.attr( elem, "tabindex" ); + + if ( tabindex ) { + return parseInt( tabindex, 10 ); + } + + if ( + rfocusable.test( elem.nodeName ) || + rclickable.test( elem.nodeName ) && + elem.href + ) { + return 0; + } + + return -1; + } + } + }, + + propFix: { + "for": "htmlFor", + "class": "className" + } +} ); + +// Support: IE <=11 only +// Accessing the selectedIndex property +// forces the browser to respect setting selected +// on the option +// The getter ensures a default option is selected +// when in an optgroup +// eslint rule "no-unused-expressions" is disabled for this code +// since it considers such accessions noop +if ( !support.optSelected ) { + jQuery.propHooks.selected = { + get: function( elem ) { + + /* eslint no-unused-expressions: "off" */ + + var parent = elem.parentNode; + if ( parent && parent.parentNode ) { + parent.parentNode.selectedIndex; + } + return null; + }, + set: function( elem ) { + + /* eslint no-unused-expressions: "off" */ + + var parent = elem.parentNode; + if ( parent ) { + parent.selectedIndex; + + if ( parent.parentNode ) { + parent.parentNode.selectedIndex; + } + } + } + }; +} + +jQuery.each( [ + "tabIndex", + "readOnly", + "maxLength", + "cellSpacing", + "cellPadding", + "rowSpan", + "colSpan", + "useMap", + "frameBorder", + "contentEditable" +], function() { + jQuery.propFix[ this.toLowerCase() ] = this; +} ); + + + + + // Strip and collapse whitespace according to HTML spec + // https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace + function stripAndCollapse( value ) { + var tokens = value.match( rnothtmlwhite ) || []; + return tokens.join( " " ); + } + + +function getClass( elem ) { + return elem.getAttribute && elem.getAttribute( "class" ) || ""; +} + +function classesToArray( value ) { + if ( Array.isArray( value ) ) { + return value; + } + if ( typeof value === "string" ) { + return value.match( rnothtmlwhite ) || []; + } + return []; +} + +jQuery.fn.extend( { + addClass: function( value ) { + var classes, elem, cur, curValue, clazz, j, finalValue, + i = 0; + + if ( isFunction( value ) ) { + return this.each( function( j ) { + jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); + } ); + } + + classes = classesToArray( value ); + + if ( classes.length ) { + while ( ( elem = this[ i++ ] ) ) { + curValue = getClass( elem ); + cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); + + if ( cur ) { + j = 0; + while ( ( clazz = classes[ j++ ] ) ) { + if ( cur.indexOf( " " + clazz + " " ) < 0 ) { + cur += clazz + " "; + } + } + + // Only assign if different to avoid unneeded rendering. + finalValue = stripAndCollapse( cur ); + if ( curValue !== finalValue ) { + elem.setAttribute( "class", finalValue ); + } + } + } + } + + return this; + }, + + removeClass: function( value ) { + var classes, elem, cur, curValue, clazz, j, finalValue, + i = 0; + + if ( isFunction( value ) ) { + return this.each( function( j ) { + jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); + } ); + } + + if ( !arguments.length ) { + return this.attr( "class", "" ); + } + + classes = classesToArray( value ); + + if ( classes.length ) { + while ( ( elem = this[ i++ ] ) ) { + curValue = getClass( elem ); + + // This expression is here for better compressibility (see addClass) + cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); + + if ( cur ) { + j = 0; + while ( ( clazz = classes[ j++ ] ) ) { + + // Remove *all* instances + while ( cur.indexOf( " " + clazz + " " ) > -1 ) { + cur = cur.replace( " " + clazz + " ", " " ); + } + } + + // Only assign if different to avoid unneeded rendering. + finalValue = stripAndCollapse( cur ); + if ( curValue !== finalValue ) { + elem.setAttribute( "class", finalValue ); + } + } + } + } + + return this; + }, + + toggleClass: function( value, stateVal ) { + var type = typeof value, + isValidValue = type === "string" || Array.isArray( value ); + + if ( typeof stateVal === "boolean" && isValidValue ) { + return stateVal ? this.addClass( value ) : this.removeClass( value ); + } + + if ( isFunction( value ) ) { + return this.each( function( i ) { + jQuery( this ).toggleClass( + value.call( this, i, getClass( this ), stateVal ), + stateVal + ); + } ); + } + + return this.each( function() { + var className, i, self, classNames; + + if ( isValidValue ) { + + // Toggle individual class names + i = 0; + self = jQuery( this ); + classNames = classesToArray( value ); + + while ( ( className = classNames[ i++ ] ) ) { + + // Check each className given, space separated list + if ( self.hasClass( className ) ) { + self.removeClass( className ); + } else { + self.addClass( className ); + } + } + + // Toggle whole class name + } else if ( value === undefined || type === "boolean" ) { + className = getClass( this ); + if ( className ) { + + // Store className if set + dataPriv.set( this, "__className__", className ); + } + + // If the element has a class name or if we're passed `false`, + // then remove the whole classname (if there was one, the above saved it). + // Otherwise bring back whatever was previously saved (if anything), + // falling back to the empty string if nothing was stored. + if ( this.setAttribute ) { + this.setAttribute( "class", + className || value === false ? + "" : + dataPriv.get( this, "__className__" ) || "" + ); + } + } + } ); + }, + + hasClass: function( selector ) { + var className, elem, + i = 0; + + className = " " + selector + " "; + while ( ( elem = this[ i++ ] ) ) { + if ( elem.nodeType === 1 && + ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) { + return true; + } + } + + return false; + } +} ); + + + + +var rreturn = /\r/g; + +jQuery.fn.extend( { + val: function( value ) { + var hooks, ret, valueIsFunction, + elem = this[ 0 ]; + + if ( !arguments.length ) { + if ( elem ) { + hooks = jQuery.valHooks[ elem.type ] || + jQuery.valHooks[ elem.nodeName.toLowerCase() ]; + + if ( hooks && + "get" in hooks && + ( ret = hooks.get( elem, "value" ) ) !== undefined + ) { + return ret; + } + + ret = elem.value; + + // Handle most common string cases + if ( typeof ret === "string" ) { + return ret.replace( rreturn, "" ); + } + + // Handle cases where value is null/undef or number + return ret == null ? "" : ret; + } + + return; + } + + valueIsFunction = isFunction( value ); + + return this.each( function( i ) { + var val; + + if ( this.nodeType !== 1 ) { + return; + } + + if ( valueIsFunction ) { + val = value.call( this, i, jQuery( this ).val() ); + } else { + val = value; + } + + // Treat null/undefined as ""; convert numbers to string + if ( val == null ) { + val = ""; + + } else if ( typeof val === "number" ) { + val += ""; + + } else if ( Array.isArray( val ) ) { + val = jQuery.map( val, function( value ) { + return value == null ? "" : value + ""; + } ); + } + + hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; + + // If set returns undefined, fall back to normal setting + if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) { + this.value = val; + } + } ); + } +} ); + +jQuery.extend( { + valHooks: { + option: { + get: function( elem ) { + + var val = jQuery.find.attr( elem, "value" ); + return val != null ? + val : + + // Support: IE <=10 - 11 only + // option.text throws exceptions (#14686, #14858) + // Strip and collapse whitespace + // https://html.spec.whatwg.org/#strip-and-collapse-whitespace + stripAndCollapse( jQuery.text( elem ) ); + } + }, + select: { + get: function( elem ) { + var value, option, i, + options = elem.options, + index = elem.selectedIndex, + one = elem.type === "select-one", + values = one ? null : [], + max = one ? index + 1 : options.length; + + if ( index < 0 ) { + i = max; + + } else { + i = one ? index : 0; + } + + // Loop through all the selected options + for ( ; i < max; i++ ) { + option = options[ i ]; + + // Support: IE <=9 only + // IE8-9 doesn't update selected after form reset (#2551) + if ( ( option.selected || i === index ) && + + // Don't return options that are disabled or in a disabled optgroup + !option.disabled && + ( !option.parentNode.disabled || + !nodeName( option.parentNode, "optgroup" ) ) ) { + + // Get the specific value for the option + value = jQuery( option ).val(); + + // We don't need an array for one selects + if ( one ) { + return value; + } + + // Multi-Selects return an array + values.push( value ); + } + } + + return values; + }, + + set: function( elem, value ) { + var optionSet, option, + options = elem.options, + values = jQuery.makeArray( value ), + i = options.length; + + while ( i-- ) { + option = options[ i ]; + + /* eslint-disable no-cond-assign */ + + if ( option.selected = + jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1 + ) { + optionSet = true; + } + + /* eslint-enable no-cond-assign */ + } + + // Force browsers to behave consistently when non-matching value is set + if ( !optionSet ) { + elem.selectedIndex = -1; + } + return values; + } + } + } +} ); + +// Radios and checkboxes getter/setter +jQuery.each( [ "radio", "checkbox" ], function() { + jQuery.valHooks[ this ] = { + set: function( elem, value ) { + if ( Array.isArray( value ) ) { + return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 ); + } + } + }; + if ( !support.checkOn ) { + jQuery.valHooks[ this ].get = function( elem ) { + return elem.getAttribute( "value" ) === null ? "on" : elem.value; + }; + } +} ); + + + + +// Return jQuery for attributes-only inclusion + + +support.focusin = "onfocusin" in window; + + +var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/, + stopPropagationCallback = function( e ) { + e.stopPropagation(); + }; + +jQuery.extend( jQuery.event, { + + trigger: function( event, data, elem, onlyHandlers ) { + + var i, cur, tmp, bubbleType, ontype, handle, special, lastElement, + eventPath = [ elem || document ], + type = hasOwn.call( event, "type" ) ? event.type : event, + namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; + + cur = lastElement = tmp = elem = elem || document; + + // Don't do events on text and comment nodes + if ( elem.nodeType === 3 || elem.nodeType === 8 ) { + return; + } + + // focus/blur morphs to focusin/out; ensure we're not firing them right now + if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { + return; + } + + if ( type.indexOf( "." ) > -1 ) { + + // Namespaced trigger; create a regexp to match event type in handle() + namespaces = type.split( "." ); + type = namespaces.shift(); + namespaces.sort(); + } + ontype = type.indexOf( ":" ) < 0 && "on" + type; + + // Caller can pass in a jQuery.Event object, Object, or just an event type string + event = event[ jQuery.expando ] ? + event : + new jQuery.Event( type, typeof event === "object" && event ); + + // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) + event.isTrigger = onlyHandlers ? 2 : 3; + event.namespace = namespaces.join( "." ); + event.rnamespace = event.namespace ? + new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) : + null; + + // Clean up the event in case it is being reused + event.result = undefined; + if ( !event.target ) { + event.target = elem; + } + + // Clone any incoming data and prepend the event, creating the handler arg list + data = data == null ? + [ event ] : + jQuery.makeArray( data, [ event ] ); + + // Allow special events to draw outside the lines + special = jQuery.event.special[ type ] || {}; + if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { + return; + } + + // Determine event propagation path in advance, per W3C events spec (#9951) + // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) + if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) { + + bubbleType = special.delegateType || type; + if ( !rfocusMorph.test( bubbleType + type ) ) { + cur = cur.parentNode; + } + for ( ; cur; cur = cur.parentNode ) { + eventPath.push( cur ); + tmp = cur; + } + + // Only add window if we got to document (e.g., not plain obj or detached DOM) + if ( tmp === ( elem.ownerDocument || document ) ) { + eventPath.push( tmp.defaultView || tmp.parentWindow || window ); + } + } + + // Fire handlers on the event path + i = 0; + while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { + lastElement = cur; + event.type = i > 1 ? + bubbleType : + special.bindType || type; + + // jQuery handler + handle = ( + dataPriv.get( cur, "events" ) || Object.create( null ) + )[ event.type ] && + dataPriv.get( cur, "handle" ); + if ( handle ) { + handle.apply( cur, data ); + } + + // Native handler + handle = ontype && cur[ ontype ]; + if ( handle && handle.apply && acceptData( cur ) ) { + event.result = handle.apply( cur, data ); + if ( event.result === false ) { + event.preventDefault(); + } + } + } + event.type = type; + + // If nobody prevented the default action, do it now + if ( !onlyHandlers && !event.isDefaultPrevented() ) { + + if ( ( !special._default || + special._default.apply( eventPath.pop(), data ) === false ) && + acceptData( elem ) ) { + + // Call a native DOM method on the target with the same name as the event. + // Don't do default actions on window, that's where global variables be (#6170) + if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) { + + // Don't re-trigger an onFOO event when we call its FOO() method + tmp = elem[ ontype ]; + + if ( tmp ) { + elem[ ontype ] = null; + } + + // Prevent re-triggering of the same event, since we already bubbled it above + jQuery.event.triggered = type; + + if ( event.isPropagationStopped() ) { + lastElement.addEventListener( type, stopPropagationCallback ); + } + + elem[ type ](); + + if ( event.isPropagationStopped() ) { + lastElement.removeEventListener( type, stopPropagationCallback ); + } + + jQuery.event.triggered = undefined; + + if ( tmp ) { + elem[ ontype ] = tmp; + } + } + } + } + + return event.result; + }, + + // Piggyback on a donor event to simulate a different one + // Used only for `focus(in | out)` events + simulate: function( type, elem, event ) { + var e = jQuery.extend( + new jQuery.Event(), + event, + { + type: type, + isSimulated: true + } + ); + + jQuery.event.trigger( e, null, elem ); + } + +} ); + +jQuery.fn.extend( { + + trigger: function( type, data ) { + return this.each( function() { + jQuery.event.trigger( type, data, this ); + } ); + }, + triggerHandler: function( type, data ) { + var elem = this[ 0 ]; + if ( elem ) { + return jQuery.event.trigger( type, data, elem, true ); + } + } +} ); + + +// Support: Firefox <=44 +// Firefox doesn't have focus(in | out) events +// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 +// +// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1 +// focus(in | out) events fire after focus & blur events, +// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order +// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857 +if ( !support.focusin ) { + jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) { + + // Attach a single capturing handler on the document while someone wants focusin/focusout + var handler = function( event ) { + jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) ); + }; + + jQuery.event.special[ fix ] = { + setup: function() { + + // Handle: regular nodes (via `this.ownerDocument`), window + // (via `this.document`) & document (via `this`). + var doc = this.ownerDocument || this.document || this, + attaches = dataPriv.access( doc, fix ); + + if ( !attaches ) { + doc.addEventListener( orig, handler, true ); + } + dataPriv.access( doc, fix, ( attaches || 0 ) + 1 ); + }, + teardown: function() { + var doc = this.ownerDocument || this.document || this, + attaches = dataPriv.access( doc, fix ) - 1; + + if ( !attaches ) { + doc.removeEventListener( orig, handler, true ); + dataPriv.remove( doc, fix ); + + } else { + dataPriv.access( doc, fix, attaches ); + } + } + }; + } ); +} +var location = window.location; + +var nonce = { guid: Date.now() }; + +var rquery = ( /\?/ ); + + + +// Cross-browser xml parsing +jQuery.parseXML = function( data ) { + var xml; + if ( !data || typeof data !== "string" ) { + return null; + } + + // Support: IE 9 - 11 only + // IE throws on parseFromString with invalid input. + try { + xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" ); + } catch ( e ) { + xml = undefined; + } + + if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) { + jQuery.error( "Invalid XML: " + data ); + } + return xml; +}; + + +var + rbracket = /\[\]$/, + rCRLF = /\r?\n/g, + rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, + rsubmittable = /^(?:input|select|textarea|keygen)/i; + +function buildParams( prefix, obj, traditional, add ) { + var name; + + if ( Array.isArray( obj ) ) { + + // Serialize array item. + jQuery.each( obj, function( i, v ) { + if ( traditional || rbracket.test( prefix ) ) { + + // Treat each array item as a scalar. + add( prefix, v ); + + } else { + + // Item is non-scalar (array or object), encode its numeric index. + buildParams( + prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]", + v, + traditional, + add + ); + } + } ); + + } else if ( !traditional && toType( obj ) === "object" ) { + + // Serialize object item. + for ( name in obj ) { + buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); + } + + } else { + + // Serialize scalar item. + add( prefix, obj ); + } +} + +// Serialize an array of form elements or a set of +// key/values into a query string +jQuery.param = function( a, traditional ) { + var prefix, + s = [], + add = function( key, valueOrFunction ) { + + // If value is a function, invoke it and use its return value + var value = isFunction( valueOrFunction ) ? + valueOrFunction() : + valueOrFunction; + + s[ s.length ] = encodeURIComponent( key ) + "=" + + encodeURIComponent( value == null ? "" : value ); + }; + + if ( a == null ) { + return ""; + } + + // If an array was passed in, assume that it is an array of form elements. + if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { + + // Serialize the form elements + jQuery.each( a, function() { + add( this.name, this.value ); + } ); + + } else { + + // If traditional, encode the "old" way (the way 1.3.2 or older + // did it), otherwise encode params recursively. + for ( prefix in a ) { + buildParams( prefix, a[ prefix ], traditional, add ); + } + } + + // Return the resulting serialization + return s.join( "&" ); +}; + +jQuery.fn.extend( { + serialize: function() { + return jQuery.param( this.serializeArray() ); + }, + serializeArray: function() { + return this.map( function() { + + // Can add propHook for "elements" to filter or add form elements + var elements = jQuery.prop( this, "elements" ); + return elements ? jQuery.makeArray( elements ) : this; + } ) + .filter( function() { + var type = this.type; + + // Use .is( ":disabled" ) so that fieldset[disabled] works + return this.name && !jQuery( this ).is( ":disabled" ) && + rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && + ( this.checked || !rcheckableType.test( type ) ); + } ) + .map( function( _i, elem ) { + var val = jQuery( this ).val(); + + if ( val == null ) { + return null; + } + + if ( Array.isArray( val ) ) { + return jQuery.map( val, function( val ) { + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + } ); + } + + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + } ).get(); + } +} ); + + +var + r20 = /%20/g, + rhash = /#.*$/, + rantiCache = /([?&])_=[^&]*/, + rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, + + // #7653, #8125, #8152: local protocol detection + rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, + rnoContent = /^(?:GET|HEAD)$/, + rprotocol = /^\/\//, + + /* Prefilters + * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) + * 2) These are called: + * - BEFORE asking for a transport + * - AFTER param serialization (s.data is a string if s.processData is true) + * 3) key is the dataType + * 4) the catchall symbol "*" can be used + * 5) execution will start with transport dataType and THEN continue down to "*" if needed + */ + prefilters = {}, + + /* Transports bindings + * 1) key is the dataType + * 2) the catchall symbol "*" can be used + * 3) selection will start with transport dataType and THEN go to "*" if needed + */ + transports = {}, + + // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression + allTypes = "*/".concat( "*" ), + + // Anchor tag for parsing the document origin + originAnchor = document.createElement( "a" ); + originAnchor.href = location.href; + +// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport +function addToPrefiltersOrTransports( structure ) { + + // dataTypeExpression is optional and defaults to "*" + return function( dataTypeExpression, func ) { + + if ( typeof dataTypeExpression !== "string" ) { + func = dataTypeExpression; + dataTypeExpression = "*"; + } + + var dataType, + i = 0, + dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; + + if ( isFunction( func ) ) { + + // For each dataType in the dataTypeExpression + while ( ( dataType = dataTypes[ i++ ] ) ) { + + // Prepend if requested + if ( dataType[ 0 ] === "+" ) { + dataType = dataType.slice( 1 ) || "*"; + ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func ); + + // Otherwise append + } else { + ( structure[ dataType ] = structure[ dataType ] || [] ).push( func ); + } + } + } + }; +} + +// Base inspection function for prefilters and transports +function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { + + var inspected = {}, + seekingTransport = ( structure === transports ); + + function inspect( dataType ) { + var selected; + inspected[ dataType ] = true; + jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { + var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); + if ( typeof dataTypeOrTransport === "string" && + !seekingTransport && !inspected[ dataTypeOrTransport ] ) { + + options.dataTypes.unshift( dataTypeOrTransport ); + inspect( dataTypeOrTransport ); + return false; + } else if ( seekingTransport ) { + return !( selected = dataTypeOrTransport ); + } + } ); + return selected; + } + + return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); +} + +// A special extend for ajax options +// that takes "flat" options (not to be deep extended) +// Fixes #9887 +function ajaxExtend( target, src ) { + var key, deep, + flatOptions = jQuery.ajaxSettings.flatOptions || {}; + + for ( key in src ) { + if ( src[ key ] !== undefined ) { + ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ]; + } + } + if ( deep ) { + jQuery.extend( true, target, deep ); + } + + return target; +} + +/* Handles responses to an ajax request: + * - finds the right dataType (mediates between content-type and expected dataType) + * - returns the corresponding response + */ +function ajaxHandleResponses( s, jqXHR, responses ) { + + var ct, type, finalDataType, firstDataType, + contents = s.contents, + dataTypes = s.dataTypes; + + // Remove auto dataType and get content-type in the process + while ( dataTypes[ 0 ] === "*" ) { + dataTypes.shift(); + if ( ct === undefined ) { + ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" ); + } + } + + // Check if we're dealing with a known content-type + if ( ct ) { + for ( type in contents ) { + if ( contents[ type ] && contents[ type ].test( ct ) ) { + dataTypes.unshift( type ); + break; + } + } + } + + // Check to see if we have a response for the expected dataType + if ( dataTypes[ 0 ] in responses ) { + finalDataType = dataTypes[ 0 ]; + } else { + + // Try convertible dataTypes + for ( type in responses ) { + if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) { + finalDataType = type; + break; + } + if ( !firstDataType ) { + firstDataType = type; + } + } + + // Or just use first one + finalDataType = finalDataType || firstDataType; + } + + // If we found a dataType + // We add the dataType to the list if needed + // and return the corresponding response + if ( finalDataType ) { + if ( finalDataType !== dataTypes[ 0 ] ) { + dataTypes.unshift( finalDataType ); + } + return responses[ finalDataType ]; + } +} + +/* Chain conversions given the request and the original response + * Also sets the responseXXX fields on the jqXHR instance + */ +function ajaxConvert( s, response, jqXHR, isSuccess ) { + var conv2, current, conv, tmp, prev, + converters = {}, + + // Work with a copy of dataTypes in case we need to modify it for conversion + dataTypes = s.dataTypes.slice(); + + // Create converters map with lowercased keys + if ( dataTypes[ 1 ] ) { + for ( conv in s.converters ) { + converters[ conv.toLowerCase() ] = s.converters[ conv ]; + } + } + + current = dataTypes.shift(); + + // Convert to each sequential dataType + while ( current ) { + + if ( s.responseFields[ current ] ) { + jqXHR[ s.responseFields[ current ] ] = response; + } + + // Apply the dataFilter if provided + if ( !prev && isSuccess && s.dataFilter ) { + response = s.dataFilter( response, s.dataType ); + } + + prev = current; + current = dataTypes.shift(); + + if ( current ) { + + // There's only work to do if current dataType is non-auto + if ( current === "*" ) { + + current = prev; + + // Convert response if prev dataType is non-auto and differs from current + } else if ( prev !== "*" && prev !== current ) { + + // Seek a direct converter + conv = converters[ prev + " " + current ] || converters[ "* " + current ]; + + // If none found, seek a pair + if ( !conv ) { + for ( conv2 in converters ) { + + // If conv2 outputs current + tmp = conv2.split( " " ); + if ( tmp[ 1 ] === current ) { + + // If prev can be converted to accepted input + conv = converters[ prev + " " + tmp[ 0 ] ] || + converters[ "* " + tmp[ 0 ] ]; + if ( conv ) { + + // Condense equivalence converters + if ( conv === true ) { + conv = converters[ conv2 ]; + + // Otherwise, insert the intermediate dataType + } else if ( converters[ conv2 ] !== true ) { + current = tmp[ 0 ]; + dataTypes.unshift( tmp[ 1 ] ); + } + break; + } + } + } + } + + // Apply converter (if not an equivalence) + if ( conv !== true ) { + + // Unless errors are allowed to bubble, catch and return them + if ( conv && s.throws ) { + response = conv( response ); + } else { + try { + response = conv( response ); + } catch ( e ) { + return { + state: "parsererror", + error: conv ? e : "No conversion from " + prev + " to " + current + }; + } + } + } + } + } + } + + return { state: "success", data: response }; +} + +jQuery.extend( { + + // Counter for holding the number of active queries + active: 0, + + // Last-Modified header cache for next request + lastModified: {}, + etag: {}, + + ajaxSettings: { + url: location.href, + type: "GET", + isLocal: rlocalProtocol.test( location.protocol ), + global: true, + processData: true, + async: true, + contentType: "application/x-www-form-urlencoded; charset=UTF-8", + + /* + timeout: 0, + data: null, + dataType: null, + username: null, + password: null, + cache: null, + throws: false, + traditional: false, + headers: {}, + */ + + accepts: { + "*": allTypes, + text: "text/plain", + html: "text/html", + xml: "application/xml, text/xml", + json: "application/json, text/javascript" + }, + + contents: { + xml: /\bxml\b/, + html: /\bhtml/, + json: /\bjson\b/ + }, + + responseFields: { + xml: "responseXML", + text: "responseText", + json: "responseJSON" + }, + + // Data converters + // Keys separate source (or catchall "*") and destination types with a single space + converters: { + + // Convert anything to text + "* text": String, + + // Text to html (true = no transformation) + "text html": true, + + // Evaluate text as a json expression + "text json": JSON.parse, + + // Parse text as xml + "text xml": jQuery.parseXML + }, + + // For options that shouldn't be deep extended: + // you can add your own custom options here if + // and when you create one that shouldn't be + // deep extended (see ajaxExtend) + flatOptions: { + url: true, + context: true + } + }, + + // Creates a full fledged settings object into target + // with both ajaxSettings and settings fields. + // If target is omitted, writes into ajaxSettings. + ajaxSetup: function( target, settings ) { + return settings ? + + // Building a settings object + ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : + + // Extending ajaxSettings + ajaxExtend( jQuery.ajaxSettings, target ); + }, + + ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), + ajaxTransport: addToPrefiltersOrTransports( transports ), + + // Main method + ajax: function( url, options ) { + + // If url is an object, simulate pre-1.5 signature + if ( typeof url === "object" ) { + options = url; + url = undefined; + } + + // Force options to be an object + options = options || {}; + + var transport, + + // URL without anti-cache param + cacheURL, + + // Response headers + responseHeadersString, + responseHeaders, + + // timeout handle + timeoutTimer, + + // Url cleanup var + urlAnchor, + + // Request state (becomes false upon send and true upon completion) + completed, + + // To know if global events are to be dispatched + fireGlobals, + + // Loop variable + i, + + // uncached part of the url + uncached, + + // Create the final options object + s = jQuery.ajaxSetup( {}, options ), + + // Callbacks context + callbackContext = s.context || s, + + // Context for global events is callbackContext if it is a DOM node or jQuery collection + globalEventContext = s.context && + ( callbackContext.nodeType || callbackContext.jquery ) ? + jQuery( callbackContext ) : + jQuery.event, + + // Deferreds + deferred = jQuery.Deferred(), + completeDeferred = jQuery.Callbacks( "once memory" ), + + // Status-dependent callbacks + statusCode = s.statusCode || {}, + + // Headers (they are sent all at once) + requestHeaders = {}, + requestHeadersNames = {}, + + // Default abort message + strAbort = "canceled", + + // Fake xhr + jqXHR = { + readyState: 0, + + // Builds headers hashtable if needed + getResponseHeader: function( key ) { + var match; + if ( completed ) { + if ( !responseHeaders ) { + responseHeaders = {}; + while ( ( match = rheaders.exec( responseHeadersString ) ) ) { + responseHeaders[ match[ 1 ].toLowerCase() + " " ] = + ( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] ) + .concat( match[ 2 ] ); + } + } + match = responseHeaders[ key.toLowerCase() + " " ]; + } + return match == null ? null : match.join( ", " ); + }, + + // Raw string + getAllResponseHeaders: function() { + return completed ? responseHeadersString : null; + }, + + // Caches the header + setRequestHeader: function( name, value ) { + if ( completed == null ) { + name = requestHeadersNames[ name.toLowerCase() ] = + requestHeadersNames[ name.toLowerCase() ] || name; + requestHeaders[ name ] = value; + } + return this; + }, + + // Overrides response content-type header + overrideMimeType: function( type ) { + if ( completed == null ) { + s.mimeType = type; + } + return this; + }, + + // Status-dependent callbacks + statusCode: function( map ) { + var code; + if ( map ) { + if ( completed ) { + + // Execute the appropriate callbacks + jqXHR.always( map[ jqXHR.status ] ); + } else { + + // Lazy-add the new callbacks in a way that preserves old ones + for ( code in map ) { + statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; + } + } + } + return this; + }, + + // Cancel the request + abort: function( statusText ) { + var finalText = statusText || strAbort; + if ( transport ) { + transport.abort( finalText ); + } + done( 0, finalText ); + return this; + } + }; + + // Attach deferreds + deferred.promise( jqXHR ); + + // Add protocol if not provided (prefilters might expect it) + // Handle falsy url in the settings object (#10093: consistency with old signature) + // We also use the url parameter if available + s.url = ( ( url || s.url || location.href ) + "" ) + .replace( rprotocol, location.protocol + "//" ); + + // Alias method option to type as per ticket #12004 + s.type = options.method || options.type || s.method || s.type; + + // Extract dataTypes list + s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ]; + + // A cross-domain request is in order when the origin doesn't match the current origin. + if ( s.crossDomain == null ) { + urlAnchor = document.createElement( "a" ); + + // Support: IE <=8 - 11, Edge 12 - 15 + // IE throws exception on accessing the href property if url is malformed, + // e.g. http://example.com:80x/ + try { + urlAnchor.href = s.url; + + // Support: IE <=8 - 11 only + // Anchor's host property isn't correctly set when s.url is relative + urlAnchor.href = urlAnchor.href; + s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !== + urlAnchor.protocol + "//" + urlAnchor.host; + } catch ( e ) { + + // If there is an error parsing the URL, assume it is crossDomain, + // it can be rejected by the transport if it is invalid + s.crossDomain = true; + } + } + + // Convert data if not already a string + if ( s.data && s.processData && typeof s.data !== "string" ) { + s.data = jQuery.param( s.data, s.traditional ); + } + + // Apply prefilters + inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); + + // If request was aborted inside a prefilter, stop there + if ( completed ) { + return jqXHR; + } + + // We can fire global events as of now if asked to + // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118) + fireGlobals = jQuery.event && s.global; + + // Watch for a new set of requests + if ( fireGlobals && jQuery.active++ === 0 ) { + jQuery.event.trigger( "ajaxStart" ); + } + + // Uppercase the type + s.type = s.type.toUpperCase(); + + // Determine if request has content + s.hasContent = !rnoContent.test( s.type ); + + // Save the URL in case we're toying with the If-Modified-Since + // and/or If-None-Match header later on + // Remove hash to simplify url manipulation + cacheURL = s.url.replace( rhash, "" ); + + // More options handling for requests with no content + if ( !s.hasContent ) { + + // Remember the hash so we can put it back + uncached = s.url.slice( cacheURL.length ); + + // If data is available and should be processed, append data to url + if ( s.data && ( s.processData || typeof s.data === "string" ) ) { + cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; + + // #9682: remove data so that it's not used in an eventual retry + delete s.data; + } + + // Add or update anti-cache param if needed + if ( s.cache === false ) { + cacheURL = cacheURL.replace( rantiCache, "$1" ); + uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) + + uncached; + } + + // Put hash and anti-cache on the URL that will be requested (gh-1732) + s.url = cacheURL + uncached; + + // Change '%20' to '+' if this is encoded form body content (gh-2658) + } else if ( s.data && s.processData && + ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) { + s.data = s.data.replace( r20, "+" ); + } + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + if ( jQuery.lastModified[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); + } + if ( jQuery.etag[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); + } + } + + // Set the correct header, if data is being sent + if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { + jqXHR.setRequestHeader( "Content-Type", s.contentType ); + } + + // Set the Accepts header for the server, depending on the dataType + jqXHR.setRequestHeader( + "Accept", + s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ? + s.accepts[ s.dataTypes[ 0 ] ] + + ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : + s.accepts[ "*" ] + ); + + // Check for headers option + for ( i in s.headers ) { + jqXHR.setRequestHeader( i, s.headers[ i ] ); + } + + // Allow custom headers/mimetypes and early abort + if ( s.beforeSend && + ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) { + + // Abort if not done already and return + return jqXHR.abort(); + } + + // Aborting is no longer a cancellation + strAbort = "abort"; + + // Install callbacks on deferreds + completeDeferred.add( s.complete ); + jqXHR.done( s.success ); + jqXHR.fail( s.error ); + + // Get transport + transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); + + // If no transport, we auto-abort + if ( !transport ) { + done( -1, "No Transport" ); + } else { + jqXHR.readyState = 1; + + // Send global event + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); + } + + // If request was aborted inside ajaxSend, stop there + if ( completed ) { + return jqXHR; + } + + // Timeout + if ( s.async && s.timeout > 0 ) { + timeoutTimer = window.setTimeout( function() { + jqXHR.abort( "timeout" ); + }, s.timeout ); + } + + try { + completed = false; + transport.send( requestHeaders, done ); + } catch ( e ) { + + // Rethrow post-completion exceptions + if ( completed ) { + throw e; + } + + // Propagate others as results + done( -1, e ); + } + } + + // Callback for when everything is done + function done( status, nativeStatusText, responses, headers ) { + var isSuccess, success, error, response, modified, + statusText = nativeStatusText; + + // Ignore repeat invocations + if ( completed ) { + return; + } + + completed = true; + + // Clear timeout if it exists + if ( timeoutTimer ) { + window.clearTimeout( timeoutTimer ); + } + + // Dereference transport for early garbage collection + // (no matter how long the jqXHR object will be used) + transport = undefined; + + // Cache response headers + responseHeadersString = headers || ""; + + // Set readyState + jqXHR.readyState = status > 0 ? 4 : 0; + + // Determine if successful + isSuccess = status >= 200 && status < 300 || status === 304; + + // Get response data + if ( responses ) { + response = ajaxHandleResponses( s, jqXHR, responses ); + } + + // Use a noop converter for missing script + if ( !isSuccess && jQuery.inArray( "script", s.dataTypes ) > -1 ) { + s.converters[ "text script" ] = function() {}; + } + + // Convert no matter what (that way responseXXX fields are always set) + response = ajaxConvert( s, response, jqXHR, isSuccess ); + + // If successful, handle type chaining + if ( isSuccess ) { + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + modified = jqXHR.getResponseHeader( "Last-Modified" ); + if ( modified ) { + jQuery.lastModified[ cacheURL ] = modified; + } + modified = jqXHR.getResponseHeader( "etag" ); + if ( modified ) { + jQuery.etag[ cacheURL ] = modified; + } + } + + // if no content + if ( status === 204 || s.type === "HEAD" ) { + statusText = "nocontent"; + + // if not modified + } else if ( status === 304 ) { + statusText = "notmodified"; + + // If we have data, let's convert it + } else { + statusText = response.state; + success = response.data; + error = response.error; + isSuccess = !error; + } + } else { + + // Extract error from statusText and normalize for non-aborts + error = statusText; + if ( status || !statusText ) { + statusText = "error"; + if ( status < 0 ) { + status = 0; + } + } + } + + // Set data for the fake xhr object + jqXHR.status = status; + jqXHR.statusText = ( nativeStatusText || statusText ) + ""; + + // Success/Error + if ( isSuccess ) { + deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); + } else { + deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); + } + + // Status-dependent callbacks + jqXHR.statusCode( statusCode ); + statusCode = undefined; + + if ( fireGlobals ) { + globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", + [ jqXHR, s, isSuccess ? success : error ] ); + } + + // Complete + completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); + + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); + + // Handle the global AJAX counter + if ( !( --jQuery.active ) ) { + jQuery.event.trigger( "ajaxStop" ); + } + } + } + + return jqXHR; + }, + + getJSON: function( url, data, callback ) { + return jQuery.get( url, data, callback, "json" ); + }, + + getScript: function( url, callback ) { + return jQuery.get( url, undefined, callback, "script" ); + } +} ); + +jQuery.each( [ "get", "post" ], function( _i, method ) { + jQuery[ method ] = function( url, data, callback, type ) { + + // Shift arguments if data argument was omitted + if ( isFunction( data ) ) { + type = type || callback; + callback = data; + data = undefined; + } + + // The url can be an options object (which then must have .url) + return jQuery.ajax( jQuery.extend( { + url: url, + type: method, + dataType: type, + data: data, + success: callback + }, jQuery.isPlainObject( url ) && url ) ); + }; +} ); + +jQuery.ajaxPrefilter( function( s ) { + var i; + for ( i in s.headers ) { + if ( i.toLowerCase() === "content-type" ) { + s.contentType = s.headers[ i ] || ""; + } + } +} ); + + +jQuery._evalUrl = function( url, options, doc ) { + return jQuery.ajax( { + url: url, + + // Make this explicit, since user can override this through ajaxSetup (#11264) + type: "GET", + dataType: "script", + cache: true, + async: false, + global: false, + + // Only evaluate the response if it is successful (gh-4126) + // dataFilter is not invoked for failure responses, so using it instead + // of the default converter is kludgy but it works. + converters: { + "text script": function() {} + }, + dataFilter: function( response ) { + jQuery.globalEval( response, options, doc ); + } + } ); +}; + + +jQuery.fn.extend( { + wrapAll: function( html ) { + var wrap; + + if ( this[ 0 ] ) { + if ( isFunction( html ) ) { + html = html.call( this[ 0 ] ); + } + + // The elements to wrap the target around + wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); + + if ( this[ 0 ].parentNode ) { + wrap.insertBefore( this[ 0 ] ); + } + + wrap.map( function() { + var elem = this; + + while ( elem.firstElementChild ) { + elem = elem.firstElementChild; + } + + return elem; + } ).append( this ); + } + + return this; + }, + + wrapInner: function( html ) { + if ( isFunction( html ) ) { + return this.each( function( i ) { + jQuery( this ).wrapInner( html.call( this, i ) ); + } ); + } + + return this.each( function() { + var self = jQuery( this ), + contents = self.contents(); + + if ( contents.length ) { + contents.wrapAll( html ); + + } else { + self.append( html ); + } + } ); + }, + + wrap: function( html ) { + var htmlIsFunction = isFunction( html ); + + return this.each( function( i ) { + jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html ); + } ); + }, + + unwrap: function( selector ) { + this.parent( selector ).not( "body" ).each( function() { + jQuery( this ).replaceWith( this.childNodes ); + } ); + return this; + } +} ); + + +jQuery.expr.pseudos.hidden = function( elem ) { + return !jQuery.expr.pseudos.visible( elem ); +}; +jQuery.expr.pseudos.visible = function( elem ) { + return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length ); +}; + + + + +jQuery.ajaxSettings.xhr = function() { + try { + return new window.XMLHttpRequest(); + } catch ( e ) {} +}; + +var xhrSuccessStatus = { + + // File protocol always yields status code 0, assume 200 + 0: 200, + + // Support: IE <=9 only + // #1450: sometimes IE returns 1223 when it should be 204 + 1223: 204 + }, + xhrSupported = jQuery.ajaxSettings.xhr(); + +support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported ); +support.ajax = xhrSupported = !!xhrSupported; + +jQuery.ajaxTransport( function( options ) { + var callback, errorCallback; + + // Cross domain only allowed if supported through XMLHttpRequest + if ( support.cors || xhrSupported && !options.crossDomain ) { + return { + send: function( headers, complete ) { + var i, + xhr = options.xhr(); + + xhr.open( + options.type, + options.url, + options.async, + options.username, + options.password + ); + + // Apply custom fields if provided + if ( options.xhrFields ) { + for ( i in options.xhrFields ) { + xhr[ i ] = options.xhrFields[ i ]; + } + } + + // Override mime type if needed + if ( options.mimeType && xhr.overrideMimeType ) { + xhr.overrideMimeType( options.mimeType ); + } + + // X-Requested-With header + // For cross-domain requests, seeing as conditions for a preflight are + // akin to a jigsaw puzzle, we simply never set it to be sure. + // (it can always be set on a per-request basis or even using ajaxSetup) + // For same-domain requests, won't change header if already provided. + if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) { + headers[ "X-Requested-With" ] = "XMLHttpRequest"; + } + + // Set headers + for ( i in headers ) { + xhr.setRequestHeader( i, headers[ i ] ); + } + + // Callback + callback = function( type ) { + return function() { + if ( callback ) { + callback = errorCallback = xhr.onload = + xhr.onerror = xhr.onabort = xhr.ontimeout = + xhr.onreadystatechange = null; + + if ( type === "abort" ) { + xhr.abort(); + } else if ( type === "error" ) { + + // Support: IE <=9 only + // On a manual native abort, IE9 throws + // errors on any property access that is not readyState + if ( typeof xhr.status !== "number" ) { + complete( 0, "error" ); + } else { + complete( + + // File: protocol always yields status 0; see #8605, #14207 + xhr.status, + xhr.statusText + ); + } + } else { + complete( + xhrSuccessStatus[ xhr.status ] || xhr.status, + xhr.statusText, + + // Support: IE <=9 only + // IE9 has no XHR2 but throws on binary (trac-11426) + // For XHR2 non-text, let the caller handle it (gh-2498) + ( xhr.responseType || "text" ) !== "text" || + typeof xhr.responseText !== "string" ? + { binary: xhr.response } : + { text: xhr.responseText }, + xhr.getAllResponseHeaders() + ); + } + } + }; + }; + + // Listen to events + xhr.onload = callback(); + errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" ); + + // Support: IE 9 only + // Use onreadystatechange to replace onabort + // to handle uncaught aborts + if ( xhr.onabort !== undefined ) { + xhr.onabort = errorCallback; + } else { + xhr.onreadystatechange = function() { + + // Check readyState before timeout as it changes + if ( xhr.readyState === 4 ) { + + // Allow onerror to be called first, + // but that will not handle a native abort + // Also, save errorCallback to a variable + // as xhr.onerror cannot be accessed + window.setTimeout( function() { + if ( callback ) { + errorCallback(); + } + } ); + } + }; + } + + // Create the abort callback + callback = callback( "abort" ); + + try { + + // Do send the request (this may raise an exception) + xhr.send( options.hasContent && options.data || null ); + } catch ( e ) { + + // #14683: Only rethrow if this hasn't been notified as an error yet + if ( callback ) { + throw e; + } + } + }, + + abort: function() { + if ( callback ) { + callback(); + } + } + }; + } +} ); + + + + +// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432) +jQuery.ajaxPrefilter( function( s ) { + if ( s.crossDomain ) { + s.contents.script = false; + } +} ); + +// Install script dataType +jQuery.ajaxSetup( { + accepts: { + script: "text/javascript, application/javascript, " + + "application/ecmascript, application/x-ecmascript" + }, + contents: { + script: /\b(?:java|ecma)script\b/ + }, + converters: { + "text script": function( text ) { + jQuery.globalEval( text ); + return text; + } + } +} ); + +// Handle cache's special case and crossDomain +jQuery.ajaxPrefilter( "script", function( s ) { + if ( s.cache === undefined ) { + s.cache = false; + } + if ( s.crossDomain ) { + s.type = "GET"; + } +} ); + +// Bind script tag hack transport +jQuery.ajaxTransport( "script", function( s ) { + + // This transport only deals with cross domain or forced-by-attrs requests + if ( s.crossDomain || s.scriptAttrs ) { + var script, callback; + return { + send: function( _, complete ) { + script = jQuery( "<script>" ) + .attr( s.scriptAttrs || {} ) + .prop( { charset: s.scriptCharset, src: s.url } ) + .on( "load error", callback = function( evt ) { + script.remove(); + callback = null; + if ( evt ) { + complete( evt.type === "error" ? 404 : 200, evt.type ); + } + } ); + + // Use native DOM manipulation to avoid our domManip AJAX trickery + document.head.appendChild( script[ 0 ] ); + }, + abort: function() { + if ( callback ) { + callback(); + } + } + }; + } +} ); + + + + +var oldCallbacks = [], + rjsonp = /(=)\?(?=&|$)|\?\?/; + +// Default jsonp settings +jQuery.ajaxSetup( { + jsonp: "callback", + jsonpCallback: function() { + var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) ); + this[ callback ] = true; + return callback; + } +} ); + +// Detect, normalize options and install callbacks for jsonp requests +jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) { + + var callbackName, overwritten, responseContainer, + jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ? + "url" : + typeof s.data === "string" && + ( s.contentType || "" ) + .indexOf( "application/x-www-form-urlencoded" ) === 0 && + rjsonp.test( s.data ) && "data" + ); + + // Handle iff the expected data type is "jsonp" or we have a parameter to set + if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) { + + // Get callback name, remembering preexisting value associated with it + callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ? + s.jsonpCallback() : + s.jsonpCallback; + + // Insert callback into url or form data + if ( jsonProp ) { + s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName ); + } else if ( s.jsonp !== false ) { + s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName; + } + + // Use data converter to retrieve json after script execution + s.converters[ "script json" ] = function() { + if ( !responseContainer ) { + jQuery.error( callbackName + " was not called" ); + } + return responseContainer[ 0 ]; + }; + + // Force json dataType + s.dataTypes[ 0 ] = "json"; + + // Install callback + overwritten = window[ callbackName ]; + window[ callbackName ] = function() { + responseContainer = arguments; + }; + + // Clean-up function (fires after converters) + jqXHR.always( function() { + + // If previous value didn't exist - remove it + if ( overwritten === undefined ) { + jQuery( window ).removeProp( callbackName ); + + // Otherwise restore preexisting value + } else { + window[ callbackName ] = overwritten; + } + + // Save back as free + if ( s[ callbackName ] ) { + + // Make sure that re-using the options doesn't screw things around + s.jsonpCallback = originalSettings.jsonpCallback; + + // Save the callback name for future use + oldCallbacks.push( callbackName ); + } + + // Call if it was a function and we have a response + if ( responseContainer && isFunction( overwritten ) ) { + overwritten( responseContainer[ 0 ] ); + } + + responseContainer = overwritten = undefined; + } ); + + // Delegate to script + return "script"; + } +} ); + + + + +// Support: Safari 8 only +// In Safari 8 documents created via document.implementation.createHTMLDocument +// collapse sibling forms: the second one becomes a child of the first one. +// Because of that, this security measure has to be disabled in Safari 8. +// https://bugs.webkit.org/show_bug.cgi?id=137337 +support.createHTMLDocument = ( function() { + var body = document.implementation.createHTMLDocument( "" ).body; + body.innerHTML = "<form></form><form></form>"; + return body.childNodes.length === 2; +} )(); + + +// Argument "data" should be string of html +// context (optional): If specified, the fragment will be created in this context, +// defaults to document +// keepScripts (optional): If true, will include scripts passed in the html string +jQuery.parseHTML = function( data, context, keepScripts ) { + if ( typeof data !== "string" ) { + return []; + } + if ( typeof context === "boolean" ) { + keepScripts = context; + context = false; + } + + var base, parsed, scripts; + + if ( !context ) { + + // Stop scripts or inline event handlers from being executed immediately + // by using document.implementation + if ( support.createHTMLDocument ) { + context = document.implementation.createHTMLDocument( "" ); + + // Set the base href for the created document + // so any parsed elements with URLs + // are based on the document's URL (gh-2965) + base = context.createElement( "base" ); + base.href = document.location.href; + context.head.appendChild( base ); + } else { + context = document; + } + } + + parsed = rsingleTag.exec( data ); + scripts = !keepScripts && []; + + // Single tag + if ( parsed ) { + return [ context.createElement( parsed[ 1 ] ) ]; + } + + parsed = buildFragment( [ data ], context, scripts ); + + if ( scripts && scripts.length ) { + jQuery( scripts ).remove(); + } + + return jQuery.merge( [], parsed.childNodes ); +}; + + +/** + * Load a url into a page + */ +jQuery.fn.load = function( url, params, callback ) { + var selector, type, response, + self = this, + off = url.indexOf( " " ); + + if ( off > -1 ) { + selector = stripAndCollapse( url.slice( off ) ); + url = url.slice( 0, off ); + } + + // If it's a function + if ( isFunction( params ) ) { + + // We assume that it's the callback + callback = params; + params = undefined; + + // Otherwise, build a param string + } else if ( params && typeof params === "object" ) { + type = "POST"; + } + + // If we have elements to modify, make the request + if ( self.length > 0 ) { + jQuery.ajax( { + url: url, + + // If "type" variable is undefined, then "GET" method will be used. + // Make value of this field explicit since + // user can override it through ajaxSetup method + type: type || "GET", + dataType: "html", + data: params + } ).done( function( responseText ) { + + // Save response for use in complete callback + response = arguments; + + self.html( selector ? + + // If a selector was specified, locate the right elements in a dummy div + // Exclude scripts to avoid IE 'Permission Denied' errors + jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) : + + // Otherwise use the full result + responseText ); + + // If the request succeeds, this function gets "data", "status", "jqXHR" + // but they are ignored because response was set above. + // If it fails, this function gets "jqXHR", "status", "error" + } ).always( callback && function( jqXHR, status ) { + self.each( function() { + callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] ); + } ); + } ); + } + + return this; +}; + + + + +jQuery.expr.pseudos.animated = function( elem ) { + return jQuery.grep( jQuery.timers, function( fn ) { + return elem === fn.elem; + } ).length; +}; + + + + +jQuery.offset = { + setOffset: function( elem, options, i ) { + var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition, + position = jQuery.css( elem, "position" ), + curElem = jQuery( elem ), + props = {}; + + // Set position first, in-case top/left are set even on static elem + if ( position === "static" ) { + elem.style.position = "relative"; + } + + curOffset = curElem.offset(); + curCSSTop = jQuery.css( elem, "top" ); + curCSSLeft = jQuery.css( elem, "left" ); + calculatePosition = ( position === "absolute" || position === "fixed" ) && + ( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1; + + // Need to be able to calculate position if either + // top or left is auto and position is either absolute or fixed + if ( calculatePosition ) { + curPosition = curElem.position(); + curTop = curPosition.top; + curLeft = curPosition.left; + + } else { + curTop = parseFloat( curCSSTop ) || 0; + curLeft = parseFloat( curCSSLeft ) || 0; + } + + if ( isFunction( options ) ) { + + // Use jQuery.extend here to allow modification of coordinates argument (gh-1848) + options = options.call( elem, i, jQuery.extend( {}, curOffset ) ); + } + + if ( options.top != null ) { + props.top = ( options.top - curOffset.top ) + curTop; + } + if ( options.left != null ) { + props.left = ( options.left - curOffset.left ) + curLeft; + } + + if ( "using" in options ) { + options.using.call( elem, props ); + + } else { + if ( typeof props.top === "number" ) { + props.top += "px"; + } + if ( typeof props.left === "number" ) { + props.left += "px"; + } + curElem.css( props ); + } + } +}; + +jQuery.fn.extend( { + + // offset() relates an element's border box to the document origin + offset: function( options ) { + + // Preserve chaining for setter + if ( arguments.length ) { + return options === undefined ? + this : + this.each( function( i ) { + jQuery.offset.setOffset( this, options, i ); + } ); + } + + var rect, win, + elem = this[ 0 ]; + + if ( !elem ) { + return; + } + + // Return zeros for disconnected and hidden (display: none) elements (gh-2310) + // Support: IE <=11 only + // Running getBoundingClientRect on a + // disconnected node in IE throws an error + if ( !elem.getClientRects().length ) { + return { top: 0, left: 0 }; + } + + // Get document-relative position by adding viewport scroll to viewport-relative gBCR + rect = elem.getBoundingClientRect(); + win = elem.ownerDocument.defaultView; + return { + top: rect.top + win.pageYOffset, + left: rect.left + win.pageXOffset + }; + }, + + // position() relates an element's margin box to its offset parent's padding box + // This corresponds to the behavior of CSS absolute positioning + position: function() { + if ( !this[ 0 ] ) { + return; + } + + var offsetParent, offset, doc, + elem = this[ 0 ], + parentOffset = { top: 0, left: 0 }; + + // position:fixed elements are offset from the viewport, which itself always has zero offset + if ( jQuery.css( elem, "position" ) === "fixed" ) { + + // Assume position:fixed implies availability of getBoundingClientRect + offset = elem.getBoundingClientRect(); + + } else { + offset = this.offset(); + + // Account for the *real* offset parent, which can be the document or its root element + // when a statically positioned element is identified + doc = elem.ownerDocument; + offsetParent = elem.offsetParent || doc.documentElement; + while ( offsetParent && + ( offsetParent === doc.body || offsetParent === doc.documentElement ) && + jQuery.css( offsetParent, "position" ) === "static" ) { + + offsetParent = offsetParent.parentNode; + } + if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) { + + // Incorporate borders into its offset, since they are outside its content origin + parentOffset = jQuery( offsetParent ).offset(); + parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true ); + parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true ); + } + } + + // Subtract parent offsets and element margins + return { + top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ), + left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true ) + }; + }, + + // This method will return documentElement in the following cases: + // 1) For the element inside the iframe without offsetParent, this method will return + // documentElement of the parent window + // 2) For the hidden or detached element + // 3) For body or html element, i.e. in case of the html node - it will return itself + // + // but those exceptions were never presented as a real life use-cases + // and might be considered as more preferable results. + // + // This logic, however, is not guaranteed and can change at any point in the future + offsetParent: function() { + return this.map( function() { + var offsetParent = this.offsetParent; + + while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) { + offsetParent = offsetParent.offsetParent; + } + + return offsetParent || documentElement; + } ); + } +} ); + +// Create scrollLeft and scrollTop methods +jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) { + var top = "pageYOffset" === prop; + + jQuery.fn[ method ] = function( val ) { + return access( this, function( elem, method, val ) { + + // Coalesce documents and windows + var win; + if ( isWindow( elem ) ) { + win = elem; + } else if ( elem.nodeType === 9 ) { + win = elem.defaultView; + } + + if ( val === undefined ) { + return win ? win[ prop ] : elem[ method ]; + } + + if ( win ) { + win.scrollTo( + !top ? val : win.pageXOffset, + top ? val : win.pageYOffset + ); + + } else { + elem[ method ] = val; + } + }, method, val, arguments.length ); + }; +} ); + +// Support: Safari <=7 - 9.1, Chrome <=37 - 49 +// Add the top/left cssHooks using jQuery.fn.position +// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084 +// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347 +// getComputedStyle returns percent when specified for top/left/bottom/right; +// rather than make the css module depend on the offset module, just check for it here +jQuery.each( [ "top", "left" ], function( _i, prop ) { + jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition, + function( elem, computed ) { + if ( computed ) { + computed = curCSS( elem, prop ); + + // If curCSS returns percentage, fallback to offset + return rnumnonpx.test( computed ) ? + jQuery( elem ).position()[ prop ] + "px" : + computed; + } + } + ); +} ); + + +// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods +jQuery.each( { Height: "height", Width: "width" }, function( name, type ) { + jQuery.each( { padding: "inner" + name, content: type, "": "outer" + name }, + function( defaultExtra, funcName ) { + + // Margin is only for outerHeight, outerWidth + jQuery.fn[ funcName ] = function( margin, value ) { + var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ), + extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" ); + + return access( this, function( elem, type, value ) { + var doc; + + if ( isWindow( elem ) ) { + + // $( window ).outerWidth/Height return w/h including scrollbars (gh-1729) + return funcName.indexOf( "outer" ) === 0 ? + elem[ "inner" + name ] : + elem.document.documentElement[ "client" + name ]; + } + + // Get document width or height + if ( elem.nodeType === 9 ) { + doc = elem.documentElement; + + // Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height], + // whichever is greatest + return Math.max( + elem.body[ "scroll" + name ], doc[ "scroll" + name ], + elem.body[ "offset" + name ], doc[ "offset" + name ], + doc[ "client" + name ] + ); + } + + return value === undefined ? + + // Get width or height on the element, requesting but not forcing parseFloat + jQuery.css( elem, type, extra ) : + + // Set width or height on the element + jQuery.style( elem, type, value, extra ); + }, type, chainable ? margin : undefined, chainable ); + }; + } ); +} ); + + +jQuery.each( [ + "ajaxStart", + "ajaxStop", + "ajaxComplete", + "ajaxError", + "ajaxSuccess", + "ajaxSend" +], function( _i, type ) { + jQuery.fn[ type ] = function( fn ) { + return this.on( type, fn ); + }; +} ); + + + + +jQuery.fn.extend( { + + bind: function( types, data, fn ) { + return this.on( types, null, data, fn ); + }, + unbind: function( types, fn ) { + return this.off( types, null, fn ); + }, + + delegate: function( selector, types, data, fn ) { + return this.on( types, selector, data, fn ); + }, + undelegate: function( selector, types, fn ) { + + // ( namespace ) or ( selector, types [, fn] ) + return arguments.length === 1 ? + this.off( selector, "**" ) : + this.off( types, selector || "**", fn ); + }, + + hover: function( fnOver, fnOut ) { + return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver ); + } +} ); + +jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " + + "mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " + + "change select submit keydown keypress keyup contextmenu" ).split( " " ), + function( _i, name ) { + + // Handle event binding + jQuery.fn[ name ] = function( data, fn ) { + return arguments.length > 0 ? + this.on( name, null, data, fn ) : + this.trigger( name ); + }; + } ); + + + + +// Support: Android <=4.0 only +// Make sure we trim BOM and NBSP +var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g; + +// Bind a function to a context, optionally partially applying any +// arguments. +// jQuery.proxy is deprecated to promote standards (specifically Function#bind) +// However, it is not slated for removal any time soon +jQuery.proxy = function( fn, context ) { + var tmp, args, proxy; + + if ( typeof context === "string" ) { + tmp = fn[ context ]; + context = fn; + fn = tmp; + } + + // Quick check to determine if target is callable, in the spec + // this throws a TypeError, but we will just return undefined. + if ( !isFunction( fn ) ) { + return undefined; + } + + // Simulated bind + args = slice.call( arguments, 2 ); + proxy = function() { + return fn.apply( context || this, args.concat( slice.call( arguments ) ) ); + }; + + // Set the guid of unique handler to the same of original handler, so it can be removed + proxy.guid = fn.guid = fn.guid || jQuery.guid++; + + return proxy; +}; + +jQuery.holdReady = function( hold ) { + if ( hold ) { + jQuery.readyWait++; + } else { + jQuery.ready( true ); + } +}; +jQuery.isArray = Array.isArray; +jQuery.parseJSON = JSON.parse; +jQuery.nodeName = nodeName; +jQuery.isFunction = isFunction; +jQuery.isWindow = isWindow; +jQuery.camelCase = camelCase; +jQuery.type = toType; + +jQuery.now = Date.now; + +jQuery.isNumeric = function( obj ) { + + // As of jQuery 3.0, isNumeric is limited to + // strings and numbers (primitives or objects) + // that can be coerced to finite numbers (gh-2662) + var type = jQuery.type( obj ); + return ( type === "number" || type === "string" ) && + + // parseFloat NaNs numeric-cast false positives ("") + // ...but misinterprets leading-number strings, particularly hex literals ("0x...") + // subtraction forces infinities to NaN + !isNaN( obj - parseFloat( obj ) ); +}; + +jQuery.trim = function( text ) { + return text == null ? + "" : + ( text + "" ).replace( rtrim, "" ); +}; + + + +// Register as a named AMD module, since jQuery can be concatenated with other +// files that may use define, but not via a proper concatenation script that +// understands anonymous AMD modules. 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For more information, see +// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon + +if ( typeof define === "function" && define.amd ) { + define( "jquery", [], function() { + return jQuery; + } ); +} + + + + +var + + // Map over jQuery in case of overwrite + _jQuery = window.jQuery, + + // Map over the $ in case of overwrite + _$ = window.$; + +jQuery.noConflict = function( deep ) { + if ( window.$ === jQuery ) { + window.$ = _$; + } + + if ( deep && window.jQuery === jQuery ) { + window.jQuery = _jQuery; + } + + return jQuery; +}; + +// Expose jQuery and $ identifiers, even in AMD +// (#7102#comment:10, https://github.com/jquery/jquery/pull/557) +// and CommonJS for browser emulators (#13566) +if ( typeof noGlobal === "undefined" ) { + window.jQuery = window.$ = jQuery; +} + + + + +return jQuery; +} ); diff --git a/_static/jquery.js b/_static/jquery.js new file mode 100644 index 00000000..b0614034 --- /dev/null +++ b/_static/jquery.js @@ -0,0 +1,2 @@ +/*! 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scorer and splitter. + * + * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"]; + + +/* Non-minified version is copied as a separate JS file, is available */ + +/** + * Porter Stemmer + */ +var Stemmer = function() { + + var step2list = { + ational: 'ate', + tional: 'tion', + enci: 'ence', + anci: 'ance', + izer: 'ize', + bli: 'ble', + alli: 'al', + entli: 'ent', + eli: 'e', + ousli: 'ous', + ization: 'ize', + ation: 'ate', + ator: 'ate', + alism: 'al', + iveness: 'ive', + fulness: 'ful', + ousness: 'ous', + aliti: 'al', + iviti: 'ive', + biliti: 'ble', + logi: 'log' + }; + + var step3list = { + icate: 'ic', + ative: '', + alize: 'al', + iciti: 'ic', + ical: 'ic', + ful: '', + ness: '' + }; + + var c = "[^aeiou]"; // consonant + var v = "[aeiouy]"; // vowel + var C = c + "[^aeiouy]*"; // consonant sequence + var V = v + "[aeiou]*"; // vowel sequence + + var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0 + var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1 + var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1 + var s_v = "^(" + C + ")?" + v; // vowel in stem + + this.stemWord = function (w) { + var stem; + var suffix; + var firstch; + var origword = w; + + if (w.length < 3) + return w; + + var re; + var re2; + var re3; + var re4; + + firstch = w.substr(0,1); + if (firstch == "y") + w = firstch.toUpperCase() + w.substr(1); + + // Step 1a + re = /^(.+?)(ss|i)es$/; + re2 = /^(.+?)([^s])s$/; + + if (re.test(w)) + w = w.replace(re,"$1$2"); + else if (re2.test(w)) + w = w.replace(re2,"$1$2"); + + // Step 1b + re = /^(.+?)eed$/; + re2 = /^(.+?)(ed|ing)$/; + if (re.test(w)) { + var fp = re.exec(w); + re = new RegExp(mgr0); + if (re.test(fp[1])) { + re = /.$/; + w = w.replace(re,""); + } + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = new RegExp(s_v); + if (re2.test(stem)) { + w = stem; + re2 = /(at|bl|iz)$/; + re3 = new RegExp("([^aeiouylsz])\\1$"); + re4 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re2.test(w)) + w = w + "e"; + else if (re3.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + else if (re4.test(w)) + w = w + "e"; + } + } + + // Step 1c + re = /^(.+?)y$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(s_v); + if (re.test(stem)) + w = stem + "i"; + } + + // Step 2 + re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step2list[suffix]; + } + + // Step 3 + re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step3list[suffix]; + } + + // Step 4 + re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + re2 = /^(.+?)(s|t)(ion)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + if (re.test(stem)) + w = stem; + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = new RegExp(mgr1); + if (re2.test(stem)) + w = stem; + } + + // Step 5 + re = /^(.+?)e$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + re2 = new RegExp(meq1); + re3 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) + w = stem; + } + re = /ll$/; + re2 = new RegExp(mgr1); + if (re.test(w) && re2.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + + // and turn initial Y back to y + if (firstch == "y") + w = 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[6138, 6159], [6170, 6175], [6264, 6271], + [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592], + [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822], + [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167], + [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959], + [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143], + [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318], + [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483], + [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101], + [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567], + [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292], + [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444], + [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783], + [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311], + [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511], + [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774], + [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071], + [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263], + [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519], + [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647], + [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967], + [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295], + [57344, 63743], [64046, 64047], [64110, 64111], [64218, 64255], [64263, 64274], + [64280, 64284], [64434, 64466], [64830, 64847], [64912, 64913], [64968, 65007], + [65020, 65135], [65277, 65295], [65306, 65312], [65339, 65344], [65371, 65381], + [65471, 65473], [65480, 65481], [65488, 65489], [65496, 65497]]; + for (i = 0; i < ranges.length; i++) { + start = ranges[i][0]; + end = ranges[i][1]; + for (j = start; j <= end; j++) { + result[j] = true; + } + } + return result; +})(); + +function splitQuery(query) { + var result = []; + var start = -1; + for (var i = 0; i < query.length; i++) { + if (splitChars[query.charCodeAt(i)]) { + if (start !== -1) { + result.push(query.slice(start, i)); + start = -1; + } + } else if (start === -1) { + start = i; + } + } + if (start !== -1) { + result.push(query.slice(start)); + } + return result; +} + + diff --git a/_static/locales/ar/LC_MESSAGES/booktheme.mo b/_static/locales/ar/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..15541a6a375f93efed3f410c2f892174ba91aaa0 GIT binary patch literal 1541 zcmZvaJ!}+56vrn40$lhsA5n;v3<UuqEnlKQXI*2kB_vQRa1ibKZrI!8JhR%J1>9lh 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z{we#%LHPn31obOfkF`-+I9<Yqgdb6Anr0+DWUKSM2^iTFuxvGpA0eyw3T>KUX>gUj zW<xM_lXW#$eJGyrQKoQJDvu2DsK#c!|HcAqK{AYN!G|YqT+l<r_+%IuC|ni)0If|a AsQ>@~ literal 0 HcmV?d00001 diff --git a/_static/locales/ar/LC_MESSAGES/booktheme.po b/_static/locales/ar/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..2e8d6820 --- /dev/null +++ b/_static/locales/ar/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ar\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "أقترح تحرير" + +msgid "Last updated on" +msgstr "آخر تحديث في" + +msgid "Edit this page" +msgstr "قم بتحرير هذه الصفحة" + +msgid "Launch" +msgstr "إطلاق" + +msgid "Print to PDF" +msgstr "طباعة إلى PDF" + +msgid "open issue" +msgstr "قضية مفتوحة" + +msgid "Download notebook file" +msgstr "تنزيل ملف دفتر الملاحظات" + +msgid "Toggle navigation" +msgstr "تبديل التنقل" + +msgid "Source repository" +msgstr "مستودع المصدر" + +msgid "By the" +msgstr "بواسطة" + +msgid "next page" +msgstr "الصفحة التالية" + +msgid "repository" +msgstr "مخزن" + +msgid "Sphinx Book Theme" +msgstr "موضوع كتاب أبو الهول" + +msgid "Download source file" +msgstr "تنزيل ملف المصدر" + +msgid "Contents" +msgstr "محتويات" + +msgid "By" +msgstr "بواسطة" + +msgid "Copyright" +msgstr "حقوق النشر" + +msgid "Fullscreen mode" +msgstr "وضع ملء الشاشة" + +msgid "Open an issue" +msgstr "افتح قضية" + +msgid "previous page" +msgstr "الصفحة السابقة" + +msgid "Download this page" +msgstr "قم بتنزيل هذه الصفحة" + +msgid "Theme by the" +msgstr "موضوع بواسطة" diff --git a/_static/locales/bg/LC_MESSAGES/booktheme.mo b/_static/locales/bg/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..da95120037f8d7c52ad1f166a7682ea55ca47a01 GIT binary patch literal 1708 zcmaKqOKcQJ5QaOv0vkhkhC?jT2nh&cNkBwFYxY90B_t3AOpcMpyUpy7b@wpSL+}lZ 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+msgstr "отворен брой" + +msgid "Download notebook file" +msgstr "Изтеглете файла на бележника" + +msgid "Toggle navigation" +msgstr "Превключване на навигацията" + +msgid "Source repository" +msgstr "Хранилище на източника" + +msgid "By the" +msgstr "По" + +msgid "next page" +msgstr "Следваща страница" + +msgid "repository" +msgstr "хранилище" + +msgid "Sphinx Book Theme" +msgstr "Тема на книгата Sphinx" + +msgid "Download source file" +msgstr "Изтеглете изходния файл" + +msgid "Contents" +msgstr "Съдържание" + +msgid "By" +msgstr "От" + +msgid "Copyright" +msgstr "Авторско право" + +msgid "Fullscreen mode" +msgstr "Режим на цял екран" + +msgid "Open an issue" +msgstr "Отворете проблем" + +msgid "previous page" +msgstr "предишна страница" + +msgid "Download this page" +msgstr "Изтеглете тази страница" + +msgid "Theme by the" +msgstr "Тема от" diff --git a/_static/locales/bn/LC_MESSAGES/booktheme.mo b/_static/locales/bn/LC_MESSAGES/booktheme.mo new file mode 100644 index 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file" +msgstr "নোটবুক ফাইল ডাউনলোড করুন" + +msgid "Toggle navigation" +msgstr "নেভিগেশন টগল করুন" + +msgid "Source repository" +msgstr "উত্স সংগ্রহস্থল" + +msgid "By the" +msgstr "দ্বারা" + +msgid "next page" +msgstr "পরবর্তী পৃষ্ঠা" + +msgid "Sphinx Book Theme" +msgstr "স্পিনিক্স বুক থিম" + +msgid "Download source file" +msgstr "উত্স ফাইল ডাউনলোড করুন" + +msgid "By" +msgstr "দ্বারা" + +msgid "Copyright" +msgstr "কপিরাইট" + +msgid "Open an issue" +msgstr "একটি সমস্যা খুলুন" + +msgid "previous page" +msgstr "আগের পৃষ্ঠা" + +msgid "Download this page" +msgstr "এই পৃষ্ঠাটি ডাউনলোড করুন" + +msgid "Theme by the" +msgstr "থিম দ্বারা" diff --git a/_static/locales/ca/LC_MESSAGES/booktheme.mo b/_static/locales/ca/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..a4dd30e9bd762578b119c4401d082ea4fa430613 GIT binary patch literal 1246 zcmZvaziSjh6vs!6zs{fW7YGVZu!zN}Q46_{Cb<hl5)#NoENtfXUiL<JXV%$SbFr`$ 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b/_static/locales/ca/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..b27a13db --- /dev/null +++ b/_static/locales/ca/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ca\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "suggerir edició" + +msgid "Last updated on" +msgstr "Darrera actualització el" + +msgid "Edit this page" +msgstr "Editeu aquesta pàgina" + +msgid "Launch" +msgstr "Llançament" + +msgid "Print to PDF" +msgstr "Imprimeix a PDF" + +msgid "open issue" +msgstr "número obert" + +msgid "Download notebook file" +msgstr "Descarregar fitxer de quadern" + +msgid "Toggle navigation" +msgstr "Commuta la navegació" + +msgid "Source repository" +msgstr "Dipòsit de fonts" + +msgid "By the" +msgstr "Per la" + +msgid "next page" +msgstr "pàgina següent" + +msgid "Sphinx Book Theme" +msgstr "Tema del llibre Esfinx" + +msgid "Download source file" +msgstr "Baixeu el fitxer font" + +msgid "By" +msgstr "Per" + +msgid "Copyright" +msgstr "Copyright" + +msgid "Open an issue" +msgstr "Obriu un número" + +msgid "previous page" +msgstr "Pàgina anterior" + +msgid "Download this page" +msgstr "Descarregueu aquesta pàgina" + +msgid "Theme by the" +msgstr "Tema del" diff --git a/_static/locales/cs/LC_MESSAGES/booktheme.mo b/_static/locales/cs/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..c39e01a6ae9ae5242f04566ffa2cda96b328ca18 GIT binary patch literal 1405 zcmZ9Lzi$*r6vu}E2^@s*J4jf`OA$zl<ChRZXI%r>k|l^w_?&_QX>NDCJM7-fGBbN{ zu90Y<g92HKbfpWo2||K`wWa(4Ns}T{s#K}cgev*I+l_1(?ab%q?ace}eS5zj-Sb>v ze2zJT`3vTkm``?L!Pxha5O~CXEFXgh!F}K{a6dQ$o&?W;$H6Xm6ub={0u}ff7#cnT z+0QfZQ*aGD2(E)iz#kj_+}M9>_J4vL?;Y3zckiz69|Czl1G1m9;7jl_xEK7Z;olA4 zfrnxL7yKGLyhn&Hz$@Tsa2Y%S-Uqp^$KWaO2ax0Z1af_E!2{s0AfNlAvHt_IJ_it- 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+1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: cs\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "navrhnout úpravy" + +msgid "Last updated on" +msgstr "Naposledy aktualizováno" + +msgid "Edit this page" +msgstr "Upravit tuto stránku" + +msgid "Launch" +msgstr "Zahájení" + +msgid "Print to PDF" +msgstr "Tisk do PDF" + +msgid "open issue" +msgstr "otevřené číslo" + +msgid "Download notebook file" +msgstr "Stáhnout soubor poznámkového bloku" + +msgid "Toggle navigation" +msgstr "Přepnout navigaci" + +msgid "Source repository" +msgstr "Zdrojové úložiště" + +msgid "By the" +msgstr "Podle" + +msgid "next page" +msgstr "další strana" + +msgid "repository" +msgstr "úložiště" + +msgid "Sphinx Book Theme" +msgstr "Téma knihy Sfinga" + +msgid "Download source file" +msgstr "Stáhněte si zdrojový soubor" + +msgid "Contents" +msgstr "Obsah" + +msgid "By" +msgstr "Podle" + +msgid "Copyright" +msgstr "autorská práva" + +msgid "Fullscreen mode" +msgstr "Režim celé obrazovky" + +msgid "Open an issue" +msgstr "Otevřete problém" + +msgid "previous page" +msgstr "předchozí stránka" + +msgid "Download this page" +msgstr "Stáhněte si tuto stránku" + +msgid "Theme by the" +msgstr "Téma od" diff --git a/_static/locales/da/LC_MESSAGES/booktheme.mo b/_static/locales/da/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..f43157d70c63ff21b4385dc36cb73f5b14eb6b01 GIT binary patch literal 1304 zcmZ9KyKmG$5XKi02pkaJ&;+qGJPH$nD9}aMKoTh;K$JVu@15uDO?<o7?m8q5Rp=<8 zq9u{2=nxgnNr*oH35kM+f{G#q1qFz2&PF-1^7`i)d*_>nzn&U>A+XM4Phfw-zKH#7 zA8uHO_6vba9LDV+coaMYo(2zt6W}@UGI$1TfTzGEa2zD?I2bB!f*j{Lcno|A9tB^6 zC&9NBKUV%PmHi!Ly<cDr92qIkkArMafE?!v_zt`U;u1e9?to*ke}Ww6H+U8t8!dG& zfTv+kf}H=|%3iLx0v>?>3CQ(qR(uY!{wt8{eFL)2d+-GK0XzbJ2D#pEAm_OQa=bqv 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charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: da\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "foreslå redigering" + +msgid "Last updated on" +msgstr "Sidst opdateret den" + +msgid "Edit this page" +msgstr "Rediger denne side" + +msgid "Launch" +msgstr "Start" + +msgid "Print to PDF" +msgstr "Udskriv til PDF" + +msgid "open issue" +msgstr "åbent nummer" + +msgid "Download notebook file" +msgstr "Download notesbog-fil" + +msgid "Toggle navigation" +msgstr "Skift navigation" + +msgid "Source repository" +msgstr "Kildelager" + +msgid "By the" +msgstr "Ved" + +msgid "next page" +msgstr "Næste side" + +msgid "repository" +msgstr "lager" + +msgid "Sphinx Book Theme" +msgstr "Sphinx bogtema" + +msgid "Download source file" +msgstr "Download kildefil" + +msgid "Contents" +msgstr "Indhold" + +msgid "By" +msgstr "Ved" + +msgid "Copyright" +msgstr "ophavsret" + +msgid "Fullscreen mode" +msgstr "Fuldskærmstilstand" + +msgid "Open an issue" +msgstr "Åbn et problem" + +msgid "previous page" +msgstr "forrige side" + +msgid "Download this page" +msgstr "Download denne side" + +msgid "Theme by the" +msgstr "Tema af" diff --git a/_static/locales/de/LC_MESSAGES/booktheme.mo b/_static/locales/de/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..648b565c7829535bc5f26f86909f458d0cd0fe1b GIT binary patch literal 1388 zcmZ9LJ!}+57={OM0$d0Q7zl~1WN1hzmOmkZ&bsEXjVu|*@fixbx!vz}2hYu{=Eq<P zDoRR{CM^vTHA)>)q=$-v3Mo~pNRgs6dB45A_~g;fK07nJ@Atd!PtN@)FuuTCz<i7O z4d&AWxM3VQC<HEX6t|DTW8e{R9y|&zfM>w-;3=>No&-0+;~;^bfwAQikaeDcpMpPw z$G{ih3Gh|R-`o9n?fMUp?fnCGz(a>7-ya8gy#TV#x8N_}HSi<wPw+7K7sz)11wRK5 z&Q0Q-2hU=C8T=Yt1y6$&$o@SBIX6#1)_LBpUxFOpZy@Wv0onf#Ab<Ba$U1Xyg5UcJ z<oydE=i@rae%}JW1UErWImf{H<6O>Ta&9^9*#YUsChPKG9Ug3-wb>5ahNSoell`9^ zoCmHU$Afe<^%ebHTryT9ZaN#u#(;-<*Xy#1V#z(Q#;HPD7is9+wj60gd)vV!pVPk0 zSm_{ZRgzdPbcFPDxsr?txhJx6><SWVDnyy;LPaX1vsfpaSK|8`FDNT@2#Lgo*A^m9 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+msgid "suggest edit" +msgstr "vorschlagen zu bearbeiten" + +msgid "Last updated on" +msgstr "Zuletzt aktualisiert am" + +msgid "Edit this page" +msgstr "Bearbeite diese Seite" + +msgid "Launch" +msgstr "Starten" + +msgid "Print to PDF" +msgstr "In PDF drucken" + +msgid "open issue" +msgstr "offenes Thema" + +msgid "Download notebook file" +msgstr "Notebook-Datei herunterladen" + +msgid "Toggle navigation" +msgstr "Navigation umschalten" + +msgid "Source repository" +msgstr "Quell-Repository" + +msgid "By the" +msgstr "Bis zum" + +msgid "next page" +msgstr "Nächste Seite" + +msgid "repository" +msgstr "Repository" + +msgid "Sphinx Book Theme" +msgstr "Sphinx-Buch-Thema" + +msgid "Download source file" +msgstr "Quelldatei herunterladen" + +msgid "Contents" +msgstr "Inhalt" + +msgid "By" +msgstr "Durch" + +msgid "Copyright" +msgstr "Urheberrechte ©" + +msgid "Fullscreen mode" +msgstr "Vollbildmodus" + +msgid "Open an issue" +msgstr "Öffnen Sie ein Problem" + +msgid "previous page" +msgstr "vorherige Seite" + +msgid "Download this page" +msgstr "Laden Sie diese Seite herunter" + +msgid "Theme by the" +msgstr "Thema von der" diff --git a/_static/locales/el/LC_MESSAGES/booktheme.mo b/_static/locales/el/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..fca6e9355f314677f2890f5679fd79dd67a7a5a2 GIT binary patch literal 1722 zcmZ{iPiS047{Eu<YP;5|tyRRJqk^&E)>ewt4U5n=fkKPHMz8X+JKcS{dGGPw+nU_c zCZPt>L)D-XMN9P{m<`*yO}BBoS3#I}@#Mj)Cp~!cBL2SFE!h-0?96ZHoA3Yk{@Ax; zMX{b{53_$`KhIu%fP=N`L8bVq-5d|WJ#ZJ?4|l_1_!N8@J_(C(AAASyg$6zb(>@oV z`1uSz3RmGC_yc?b-t6<2zWn$8{ZA<I{)IU>G}N=-3*|lx#m@-51&_iV@GtlX{0B;& z|G|Us0FOuETkutwLXlsEZ^B>UVYqXrQitFhQ0g-9MK}YWfvbJC;B(wFD1G=Fz66IT z_E|X6=LsnC_o4J>9*)3IptM|SkT~LFKU;E^x(64jsmIx3FH7o|CH<3LOJ5JLNx{`F zvmIQ7ax;7w(hfIYb$phePOC<p2!qrFX~LgqHufvkRGkbz3TmNO)<Kw>sWALdpYv;G zOPqxDxMc1Trd2=DkykNltn8<_zIz?7*J?>AHYU*1VcDqDUXtp1RQ6I+)?vWC9+ax; z?Fa=g(0-ECjhcx404JfII61D)_Tt4R3KKsK<5_h!s`|l<J}$XUR?W0g?$lGgnkK_a 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+"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: el\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "προτείνω επεξεργασία" + +msgid "Last updated on" +msgstr "Τελευταία ενημέρωση στις" + +msgid "Edit this page" +msgstr "Επεξεργαστείτε αυτήν τη σελίδα" + +msgid "Launch" +msgstr "Εκτόξευση" + +msgid "Print to PDF" +msgstr "Εκτύπωση σε PDF" + +msgid "open issue" +msgstr "ανοιχτό ζήτημα" + +msgid "Download notebook file" +msgstr "Λήψη αρχείου σημειωματάριου" + +msgid "Toggle navigation" +msgstr "Εναλλαγή πλοήγησης" + +msgid "Source repository" +msgstr "Αποθήκη πηγής" + +msgid "By the" +msgstr "Από το" + +msgid "next page" +msgstr "επόμενη σελίδα" + +msgid "repository" +msgstr "αποθήκη" + +msgid "Sphinx Book Theme" +msgstr "Θέμα βιβλίου Sphinx" + +msgid "Download source file" +msgstr "Λήψη αρχείου προέλευσης" + +msgid "Contents" +msgstr "Περιεχόμενα" + +msgid "By" +msgstr "Με" + +msgid "Copyright" +msgstr "Πνευματική ιδιοκτησία" + +msgid "Fullscreen mode" +msgstr "ΛΕΙΤΟΥΡΓΙΑ ΠΛΗΡΟΥΣ ΟΘΟΝΗΣ" + +msgid "Open an issue" +msgstr "Ανοίξτε ένα ζήτημα" + +msgid "previous page" +msgstr "προηγούμενη σελίδα" + +msgid "Download this page" +msgstr "Λήψη αυτής της σελίδας" + +msgid "Theme by the" +msgstr "Θέμα από το" diff --git a/_static/locales/eo/LC_MESSAGES/booktheme.mo b/_static/locales/eo/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..d1072bbec62959524a87953d3f41b7c272ecbe37 GIT binary patch literal 1337 zcmZXSJ8u**6on1p5tcw8Jc}Sq!=o5pLIQ2H4P;k}NW_XP^v=%Bth2NB$o2$6O@l;1 z0iuBPP*8&S0UL=QfP_RrK|_UvM1g34b7v+b0&DDV?D3v+ANy%y+Y^Ct1alJeJ?3%D zhg+~<jBXVIkJyD}2RH_ff(O7|;3Rk$JP95I8{h<Z6Wj|DI1Yx2_d(Wq4DJD+fn(rH za6kB_;=AhnW3~SRvfodz29AuBzuyb;eiCGzQ{Y?h5{RqfE69G|D*gaj=NEVs9Ni|w zA@BsqHMm^y2FQ6N)%SZK>pTMYflop9djWEuuR*>)1Ua4$Am958?gqbuT!-Hv=RLl? ztm83|e|Hk(lCvi7xt0eoxwahd<^hR9n|*n(9}lh{d$2y|1j)ji^V&Q(5ANYkOq8Lh 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+"Content-Transfer-Encoding: 8bit\n" +"Language: eo\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "sugesti redaktadon" + +msgid "Last updated on" +msgstr "Laste ĝisdatigita la" + +msgid "Edit this page" +msgstr "Redaktu ĉi tiun paĝon" + +msgid "Launch" +msgstr "Lanĉo" + +msgid "Print to PDF" +msgstr "Presi al PDF" + +msgid "open issue" +msgstr "malferma numero" + +msgid "Download notebook file" +msgstr "Elŝutu kajeran dosieron" + +msgid "Toggle navigation" +msgstr "Ŝalti navigadon" + +msgid "Source repository" +msgstr "Fonto-deponejo" + +msgid "By the" +msgstr "Per la" + +msgid "next page" +msgstr "sekva paĝo" + +msgid "repository" +msgstr "deponejo" + +msgid "Sphinx Book Theme" +msgstr "Sfinksa Libro-Temo" + +msgid "Download source file" +msgstr "Elŝutu fontodosieron" + +msgid "Contents" +msgstr "Enhavo" + +msgid "By" +msgstr "De" + +msgid "Copyright" +msgstr "Kopirajto" + +msgid "Fullscreen mode" +msgstr "Plenekrana reĝimo" + +msgid "Open an issue" +msgstr "Malfermu numeron" + +msgid "previous page" +msgstr "antaŭa paĝo" + +msgid "Download this page" +msgstr "Elŝutu ĉi tiun paĝon" + +msgid "Theme by the" +msgstr "Temo de la" diff --git a/_static/locales/es/LC_MESSAGES/booktheme.mo b/_static/locales/es/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..ba2ee4dc22148ed53f2aeba32c5965654d4a5a2f GIT binary patch literal 1396 zcmZ9Kzi$;s5XU#z;m3pU!zKwxj<PffAU%GG0zKyyF}5WuI9TwAl#Y3K<GW4vc2B!| z2D?rfI#Q*gK}s7WL~n}x0aPi{Mv9ao9d!B5-GMDuxBI!B-JS33?EE!1`-?*R6nz2x z75eAsKYxG$?eGDm@Tnsh4uZ$P!{9u41Y7_=0lxrGgJW<GyaOHw89V`|o<D)&=P~#Z z_$zn}{0%$>KJWQQZ~wEO{|$=X8*l*5%yj3EgEC(L#m|@E3-CIKPyLHQ^!@|o{A*Bj z4$La`8F(5z16~6q{%=5u|2}vYjQ#o}@F?a_K{@|BDEE2^ehj_>C4c{bvhUD`U0&uv z*?$p~_`U+=+!`qRz6aYpfs%6BBl;4{Ji6po;@;mNp-!U9Icai#X`&;(C9e__T(%nW zw)>mpL*DQZy5tBcRcdJ)pH3yKo8BdMDdMNz4yGuRTJ{f|^^|Mp6HmSWQEwW{d*<ky zknwxQRGO%3Dp;-LCc*XF>1tzb%mTC1mCsq-qL_43=ae|t-eKOjtW>vaY#^sij18-e 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1);\n" + +msgid "suggest edit" +msgstr "sugerir editar" + +msgid "Last updated on" +msgstr "Ultima actualización en" + +msgid "Edit this page" +msgstr "Edita esta página" + +msgid "Launch" +msgstr "Lanzamiento" + +msgid "Print to PDF" +msgstr "Imprimir en PDF" + +msgid "open issue" +msgstr "Tema abierto" + +msgid "Download notebook file" +msgstr "Descargar archivo de cuaderno" + +msgid "Toggle navigation" +msgstr "Navegación de palanca" + +msgid "Source repository" +msgstr "Repositorio de origen" + +msgid "By the" +msgstr "Por el" + +msgid "next page" +msgstr "siguiente página" + +msgid "repository" +msgstr "repositorio" + +msgid "Sphinx Book Theme" +msgstr "Tema del libro de la esfinge" + +msgid "Download source file" +msgstr "Descargar archivo fuente" + +msgid "Contents" +msgstr "Contenido" + +msgid "By" +msgstr "Por" + +msgid "Copyright" +msgstr "Derechos de autor" + +msgid "Fullscreen mode" +msgstr "Modo de pantalla completa" + +msgid "Open an issue" +msgstr "Abrir un problema" + +msgid "previous page" +msgstr "pagina anterior" + +msgid "Download this page" +msgstr "Descarga esta pagina" + +msgid "Theme by the" +msgstr "Tema por el" diff --git a/_static/locales/et/LC_MESSAGES/booktheme.mo b/_static/locales/et/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..983b82391f499b67a9046c15d0dd8744650ad925 GIT binary patch literal 1341 zcmZ9Kzi%8x6vqb=^5gOYNC*@$VrY^ev<X2J(OFkGi7iF3g@unuDaW_ZyDv98vzi}A zT%}2w1_>%C-5~0q6cNoSQvQHcDIz*5N(ux8-*>yj7Nec{?3<bWzF+(5%;E19#s`>7 zm@hCt!hG}w7K~$WDuqWK$8rQb2_6H_g2%xn@O|(C_#QX{&wyWnr$GYW22;<6py+%D zo&tXWPl7*z?}ESdeBSTB?Csw{@%I-v01qANzCR6$y#$KRMeqsu1$Y$v1AGho6Fdz5 z4az++J_JsIlKZFNIq(K3aoh#Zg45o90E(Y)LCNb!P;`Fo`2>{wpMm1<C3qhE4V3%; zfKrDOIF#?sgHne}pw!_CC?%IOsh?<xf2pnHeQ-cZy@M&bG9)e;61VseJ;?=<>IA0b zcW{Vb>7mpI<yiDrUEjr{Q%&lIcZpnzcxiV7S9MZ1{Ws2fQ)=fEZF@h}J8WrxJNg_Z z^uNtibJVS=NUfHfApM`YmaUDGK;(4eOH%75CY{^TBr3Icu(O-g>dO`vjME%rCbb#Z 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edit" +msgstr "soovita muuta" + +msgid "Last updated on" +msgstr "Viimati uuendatud" + +msgid "Edit this page" +msgstr "Muutke seda lehte" + +msgid "Launch" +msgstr "Käivitage" + +msgid "Print to PDF" +msgstr "Prindi PDF-i" + +msgid "open issue" +msgstr "avatud küsimus" + +msgid "Download notebook file" +msgstr "Laadige sülearvuti fail alla" + +msgid "Toggle navigation" +msgstr "Lülita navigeerimine sisse" + +msgid "Source repository" +msgstr "Allikahoidla" + +msgid "By the" +msgstr "Autor" + +msgid "next page" +msgstr "järgmine leht" + +msgid "repository" +msgstr "hoidla" + +msgid "Sphinx Book Theme" +msgstr "Sfinksiraamatu teema" + +msgid "Download source file" +msgstr "Laadige alla lähtefail" + +msgid "Contents" +msgstr "Sisu" + +msgid "By" +msgstr "Kõrval" + +msgid "Copyright" +msgstr "Autoriõigus" + +msgid "Fullscreen mode" +msgstr "Täisekraanirežiim" + +msgid "Open an issue" +msgstr "Avage probleem" + +msgid "previous page" +msgstr "eelmine leht" + +msgid "Download this page" +msgstr "Laadige see leht alla" + +msgid "Theme by the" +msgstr "Teema" diff --git a/_static/locales/fi/LC_MESSAGES/booktheme.mo b/_static/locales/fi/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..d8ac054597c924e3010f629caeac1c748b7211cd GIT binary patch literal 1368 zcmZ9KJ#5r46vquMU&lA4Af!r|g^wXX5kqz52B58kprWEjclYv|xbfLh>>S*}#K;Cr ztS2O9B*cCTVrBw~l?gF1AR)y6B`K}2;{5K}=lB1=7k@o5`BGq<#+<?Ygn1V8*)F^= z_U{$~k2rwWUhojOADjXYfHUAJ@H}`D?0_f02jCHqz@uPj_!Q(kFTlg#EASBb20RYF zYxtpA|J=miK-T*Ow!n#r`uq`);~9|iTmavL*TH?@caZgdf_(lr$iDVY3ULOU2HE!& zko6aucn#z_vL=4g#Lq$2c@1*iZ^2{WM{o-K0&@NzAfNvOa-GNb)I1CFegv|=8z7%s z0J-Iyo6oT)US|#Vy>lRCrOA1CaQ!^kKlhsTrZJIH9K_^ryK`_q_#3i5+EIO9achW2 zhLpr@X9L;b@gpA=I!S|AaF48UDwfs-T6Zp!8`{wJvUg?CqyH8|s=drrLSix20jamb zrP3JRD~PP@yO_j1<%2BqSOtouvxrOEOU3;he^6Fx?@JOZg|<lI<jTU5SgrL6%AME2 z6+^L_r`kT2x7b@Zr9O%3E!XRsx-Ll!Nvj4rQ9(n*(&JFObF5Q~<OL11D;wK8()%(= z2rdbgz>3?XUWo3*(Ha#V+1j$!k61sdlv~SpmKV48XD?rEHI0qB!<^bOz`&K<C~fCu 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sivua" + +msgid "Launch" +msgstr "Tuoda markkinoille" + +msgid "Print to PDF" +msgstr "Tulosta PDF-tiedostoon" + +msgid "open issue" +msgstr "avoin ongelma" + +msgid "Download notebook file" +msgstr "Lataa muistikirjatiedosto" + +msgid "Toggle navigation" +msgstr "Vaihda navigointia" + +msgid "Source repository" +msgstr "Lähteen arkisto" + +msgid "By the" +msgstr "Mukaan" + +msgid "next page" +msgstr "seuraava sivu" + +msgid "repository" +msgstr "arkisto" + +msgid "Sphinx Book Theme" +msgstr "Sphinx-kirjan teema" + +msgid "Download source file" +msgstr "Lataa lähdetiedosto" + +msgid "Contents" +msgstr "Sisällys" + +msgid "By" +msgstr "Tekijä" + +msgid "Copyright" +msgstr "Tekijänoikeus" + +msgid "Fullscreen mode" +msgstr "Koko näytön tila" + +msgid "Open an issue" +msgstr "Avaa ongelma" + +msgid "previous page" +msgstr "Edellinen sivu" + +msgid "Download this page" +msgstr "Lataa tämä sivu" + +msgid "Theme by the" +msgstr "Teeman tekijä" diff --git a/_static/locales/fr/LC_MESSAGES/booktheme.mo b/_static/locales/fr/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..f663d39f0faa76c5b9bd504c51252eef74cca5de GIT binary patch literal 1412 zcmZ{jJ!}+56vv0pm<s`73?#@>9t{vhm&8^IIO`h6wqyy*798~B-FLeKdo!!~aIl*+ zlr)i&DosjGX-Sm+nxs!ffzqWyh>mpmzuUEJBQe_9-_FOq|NFX^vnPL27*{aoG5^N= z4D;zRyf9{tD}_g$!Rs`57MuYuf@i>a@G^KEoCEvdEO-|@2Qqjbj4hvlV&_NjBk*VN zEI0-~27hn)XS@HRUH=P;-hW^RJaMA={W(z9^Pt$d0saAg1L9Gy@DjZ@;0NGaQ2bFR zmAVF8043f<@DuPZcoBRAia+0jpMpPtqW^1q{u?N9{{>2%|FrAZpu~0hRC7KD%K8iN z5_lUFyPKf+qrt170VU-UgXB+gDSn8C=pG)BP!}*oSBAtdL+nayq9<A~sXoM%+8!Q~ z52>N(OOB9IrIvT`P%K$}>uh8j13v0qZ;CRi75AO3oX*L*$lK06qM@nyU^}?vGk#|? zmL^cG3s$SSi7>stTuW6IGS6&j<Z@PbbcmGdTu08yS*(-IO0`+zg0^HrNUXNJu`uFj zYh_K{YxF$VE|}>2uDVy3#y+NH@oiA@h}HB>+f7UZR}>YK)jOup(LluV<JfrTM5hs{ zJ?|KoTDK3G52+{^UNRzqEAAm@vAdpkAFvOw)}uzhEBf83a%W?GWA)&C;mfZ(ZDPBF z-I{w8;lNjQrHx&ptkgbm?B5@(b#EQq^V)_X`|hgETyAX9qg&f1cJ63fB;>V6L*Ln| 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T<A7>A2+cw{Vw>h7Yg+MtLz81? literal 0 HcmV?d00001 diff --git a/_static/locales/fr/LC_MESSAGES/booktheme.po b/_static/locales/fr/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..b57d2fe7 --- /dev/null +++ b/_static/locales/fr/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: fr\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "suggestion de modification" + +msgid "Last updated on" +msgstr "Dernière mise à jour le" + +msgid "Edit this page" +msgstr "Modifier cette page" + +msgid "Launch" +msgstr "lancement" + +msgid "Print to PDF" +msgstr "Imprimer au format PDF" + +msgid "open issue" +msgstr "signaler un problème" + +msgid "Download notebook file" +msgstr "Télécharger le fichier notebook" + +msgid "Toggle navigation" +msgstr "Basculer la navigation" + +msgid "Source repository" +msgstr "Dépôt source" + +msgid "By the" +msgstr "Par le" + +msgid "next page" +msgstr "page suivante" + +msgid "repository" +msgstr "dépôt" + +msgid "Sphinx Book Theme" +msgstr "Thème du livre Sphinx" + +msgid "Download source file" +msgstr "Télécharger le fichier source" + +msgid "Contents" +msgstr "Contenu" + +msgid "By" +msgstr "Par" + +msgid "Copyright" +msgstr "droits d'auteur" + +msgid "Fullscreen mode" +msgstr "Mode plein écran" + +msgid "Open an issue" +msgstr "Ouvrez un problème" + +msgid "previous page" +msgstr "page précédente" + +msgid "Download this page" +msgstr "Téléchargez cette page" + +msgid "Theme by the" +msgstr "Thème par le" diff --git a/_static/locales/hr/LC_MESSAGES/booktheme.mo b/_static/locales/hr/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..eca4a1a2842830f06bd5f6235bf01d07bdd313d2 GIT binary patch literal 1402 zcmZ9KJ!~9B6vu}+kmLv<I0Psx@u1+NI80C?MQ2?>h)-Bbu!YZ&sL*)#Wq0oOW>)iY z#I7UJKoJQlD$3MIh{}~uqNJdrprN2bqC$d-|Jz;1r;K*?xAU?8_kVBZ_tmrCDzsP8 z*U*1Oe;xg+XYfKhe?}=h>H=QRffvE^;1%!!xCXugz6HJv4#8FMQ}7bV;EQ1F_z)DG zZ@?G8@4$=TWAG*L$BsXD^S^cDKS7E2FW3WDR@(nBfihkLMdxksC-6Fmt?DmO{`(sg z-~WN)YvpX4?<)8j#_OQu@i8cQeBP}`P-^oC6rIQ5W$*{^dGHvNe1GZqM>qcuD0MvZ zY`gv@DF5B)#v@RCe+FI!b5KeyIf$NkxPmU8B<^y9bfYDCNE01tQa`D+)KxSg*?1KH z%T4MpwK#{4ax`^Pw+`@7ELnZzY-Ae)KI#K+iZZI(?h9Kvos)Hu_nn*4eN*x2ba2UM z{M2MDO`uvAtTuBKA$>9&rK$><XSOtRIjcK5L`rq8Bj@BS#>r--+ODxdTQVUeRy*EU zh&bB0JyN@EJkPZYCOUthcI(pE2XsrkjZ2=fYTmTp<}`LiQ88IPH-(M{K`cLrtve@i z+90*(xpAqpy(Aw}Q7~LGGJzF0;VkyI^8P*c0crzk<M$<gzlq$tyLET-bp6_U@AtaG z_QwY`4=BRGdR=K_Hz+H$4;+Vk<5B<S={~P*xX-@7X)~7_TMX#tzKOj%+7=0Q9Z>0e zJ5}<!>W`eCg#p>R8HV8p8`ORd-?8+@kgmPE(NjB4ZRZpsbXo1{+%JywM17c0!7$ZS zdp+04j?>}H5RL<fJx#Q4stGTStjXjQ+C_6XciyHan@$!YlbfeDgvpZH^HQ;=CO^@~ zUmJ^XJav?r30JP5Lmet-5#9xa%k6|oFOHHoFgxJ^=BJ)5wA6M)Y!NkwxvZ(JP~&Q) z=4Na)#vBEx&&=X`>>u+?)6`B(!QC;nQ(E%YYHwOi5)9EgF2Tundr{ymsm2Z;f2mKh k(#nYgw(f}olqHrfw@Z7L48TfWxy6y8<oWoKnK!Qg2ay|IDF6Tf literal 0 HcmV?d00001 diff --git a/_static/locales/hr/LC_MESSAGES/booktheme.po b/_static/locales/hr/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..4c425e89 --- /dev/null +++ b/_static/locales/hr/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: hr\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "predloži uređivanje" + +msgid "Last updated on" +msgstr "Posljednje ažuriranje:" + +msgid "Edit this page" +msgstr "Uredite ovu stranicu" + +msgid "Launch" +msgstr "Pokrenite" + +msgid "Print to PDF" +msgstr "Ispis u PDF" + +msgid "open issue" +msgstr "otvoreno izdanje" + +msgid "Download notebook file" +msgstr "Preuzmi datoteku bilježnice" + +msgid "Toggle navigation" +msgstr "Uključi / isključi navigaciju" + +msgid "Source repository" +msgstr "Izvorno spremište" + +msgid "By the" +msgstr "Od strane" + +msgid "next page" +msgstr "sljedeća stranica" + +msgid "repository" +msgstr "spremište" + +msgid "Sphinx Book Theme" +msgstr "Tema knjige Sphinx" + +msgid "Download source file" +msgstr "Preuzmi izvornu datoteku" + +msgid "Contents" +msgstr "Sadržaj" + +msgid "By" +msgstr "Po" + +msgid "Copyright" +msgstr "Autorska prava" + +msgid "Fullscreen mode" +msgstr "Način preko cijelog zaslona" + +msgid "Open an issue" +msgstr "Otvorite izdanje" + +msgid "previous page" +msgstr "Prethodna stranica" + +msgid "Download this page" +msgstr "Preuzmite ovu stranicu" + +msgid "Theme by the" +msgstr "Tema autora" diff --git a/_static/locales/id/LC_MESSAGES/booktheme.mo b/_static/locales/id/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..d07a06a9d27aaf6d67234c227c22d61d5a23203b GIT binary patch literal 1323 zcmZ9JIfxWN6oyOJV;%2ZZx$>Q4`jSBkXa^hFIaGO(a}_Drr&ngPIpyPhwkKtCW1zS zxtWoenhB;xBBn-yn24D8zwTalu&Ao9Uv<5s{`Yli#|wdR9BT&a6V_?0r`xb$Ol}tf zQ|!UE3)}}zg45t0a0WaEo&}G9U2qD#3myOoJP3w{Pe6|I9NZ7S1owfj!NcI&h98>q z&yD>J<b1!u7C13c`yT+=o&h<|Iq)5L9ozwaZ}=0$6u+=>oIl_+xD%H+@5zQ2!9%dS z4R3=dU_S)+f*T;`dD8G1$o{WD_Im?z{P&Ih5#&5yK-S?0$ohz#wGPuD`<((=a*oaa zSxfd~Z8_ffK#0nR_2t3u=fQPw4%YQ37D84vb8p87>(4#hjm4TkQX%F>m@;G}=B){2 zg2zWWayrd|Sg?;xZdD?U4b-=GDA#mOTgTo;H=zFxL#DkfRZ3zp(E*`1&83*<e&C3V zENnvJmhwTyGEspNX$|aX2AQ~1;({_#dml-xI&Bcd%GHG>aj(wjsI*=O>qg>UnQ5~j z=eV|BMg@s#m;L%pJ)5RENuwU=R0WMBhBiW7o#i}rlG4#5ZDUjRSa=`Plu#w%B`C$N z(;&2$llB909??3o&fn(z?J9F?WqD<B>;KhDS6Yp*?cS)QjtnT^a+xb_X5}DL&Qs{# z?=7`&Y~6Fp_%(9vMKiF8HfcxR=<CqBrA!*3Ye(v&wVFq#^7fK-h3`mHR;KS>o0auv z_q>s3y7KCU*_ODI6J+IW*=v!hp&aNkC~@B;F{`@wufgMIJ{Em)%}J(mRd82~uKPNE zu!45VT#b~I5H)6^M@|hh?PQ`$a((5ZmR_kKRwzf4qZ=wC=HgJvLU}~a#5@JmHKeM~ zcQ+dhueyjH6-vS(Hi{zy4lKXvX09`YYnog=urAe8uFQH2W~4-u2I{*$(n5sIJAG7C T@Rc+s5Lgrh10CRyRonjp5+F85 literal 0 HcmV?d00001 diff --git a/_static/locales/id/LC_MESSAGES/booktheme.po b/_static/locales/id/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..5db2ae14 --- /dev/null +++ b/_static/locales/id/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: id\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "menyarankan edit" + +msgid "Last updated on" +msgstr "Terakhir diperbarui saat" + +msgid "Edit this page" +msgstr "Edit halaman ini" + +msgid "Launch" +msgstr "Meluncurkan" + +msgid "Print to PDF" +msgstr "Cetak ke PDF" + +msgid "open issue" +msgstr "masalah terbuka" + +msgid "Download notebook file" +msgstr "Unduh file notebook" + +msgid "Toggle navigation" +msgstr "Alihkan navigasi" + +msgid "Source repository" +msgstr "Repositori sumber" + +msgid "By the" +msgstr "Oleh" + +msgid "next page" +msgstr "halaman selanjutnya" + +msgid "repository" +msgstr "gudang" + +msgid "Sphinx Book Theme" +msgstr "Tema Buku Sphinx" + +msgid "Download source file" +msgstr "Unduh file sumber" + +msgid "Contents" +msgstr "Isi" + +msgid "By" +msgstr "Oleh" + +msgid "Copyright" +msgstr "hak cipta" + +msgid "Fullscreen mode" +msgstr "Mode layar penuh" + +msgid "Open an issue" +msgstr "Buka masalah" + +msgid "previous page" +msgstr "halaman sebelumnya" + +msgid "Download this page" +msgstr "Unduh halaman ini" + +msgid "Theme by the" +msgstr "Tema oleh" diff --git a/_static/locales/it/LC_MESSAGES/booktheme.mo b/_static/locales/it/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..53ba476edd2df2a802917e9df402257ceca1a130 GIT binary patch literal 1403 zcmZXSJ&aXF6vsyafhY1QYQiQS8W$5EU!j1vc?Gb$351Os-eM!oynD~ycVOPkWoGWm zTH9#}m5qrNiM6q@vN55xvLLatGO@6+(D*<1-gP%Hxii0e=Htvc|2Z#C?tf~~-bG(P z{{{Vh^sipSfOhD0WAK^77~TMnfQP_S;9+n9d<Xmhd>b5tC&9bmQINr7VD9+^sD7S+ zZ-HNfN5E&`3Gn-#Klk&$_V(|f-uE{+0Qc?d&L0KUUI5k4BKQM%1;keK2Z+!7i9yf* z1s(_g1vTGe`;B=I{0KY^u7H})r~P~cRhutC&HGzW&wmGM{6B(v?m2h{{0%$^{sW!` z4;<+7S_JjnwcfrBYTWn1Q(y(E<eG!(r&{W~#-efWZE)TCQhl|lA8o3iYOQf;OmJ!5 zMA!KDHq~Eq(KuBb)ydr0#z%R^=4SAjeNOnPx1&_EY?i}k-UVBd51FSSJfux=ygQvj z6AON6GS4JYZ7Vh_rDV9?F;^SsQW2Rw%|prNj!l`Gy0n=~3LbXji<$Yj#s=$2Qfk<& zNAYkHXnlFrOuG9b*C9y`aobGlnfS+aLu1>R@tjRN(zMHIBUF`R@^(uqn+2D6ew@4L zg5J|zQb*pB(DY&Nai5y1VnoTv1fhfnT;$=ca`*|y1aBki?jP#?!}jLE+O4&f-Stc7 zFAjQPha1~9k0>L63$?T2m#CQ8m^hE`ZLAKj?(U1$r%jH-6<>r>d^Mu0Q^|un)>jR5 z9TALm*F@`vt0B(Qh<x3eX?%H!y5I3RPiMz;>BFUgSr)TwUH`yMh9yxlG%Xix0~y&& z3LB-cB(8l-D%nxCMbU^4uPmkzD-_D^sYeYovZ|_hYt|6+raF6N+B(TUeM703ahwOj z!*UGfp34HuR+WV4?HsPL=1>m45R2fh*HNhPRL3xNJhx_&?Yu^?zAcKo|5pQ*LIIU4 z9%X=yZ5mFd5t*`cmL{7}b7xJ=^_*qP(gmDLw)@AXu2??D^RnquqSO=xr-aR>O-k3u a)*Q3l*@6-(xNK#4xqhOgLbT*tS<HW%;#JK6 literal 0 HcmV?d00001 diff --git a/_static/locales/it/LC_MESSAGES/booktheme.po b/_static/locales/it/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..7d54fdef --- /dev/null +++ b/_static/locales/it/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: it\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "suggerisci modifica" + +msgid "Last updated on" +msgstr "Ultimo aggiornamento il" + +msgid "Edit this page" +msgstr "Modifica questa pagina" + +msgid "Launch" +msgstr "Lanciare" + +msgid "Print to PDF" +msgstr "Stampa in PDF" + +msgid "open issue" +msgstr "questione aperta" + +msgid "Download notebook file" +msgstr "Scarica il file del taccuino" + +msgid "Toggle navigation" +msgstr "Attiva / disattiva la navigazione" + +msgid "Source repository" +msgstr "Repository di origine" + +msgid "By the" +msgstr "Dal" + +msgid "next page" +msgstr "pagina successiva" + +msgid "repository" +msgstr "repository" + +msgid "Sphinx Book Theme" +msgstr "Tema del libro della Sfinge" + +msgid "Download source file" +msgstr "Scarica il file sorgente" + +msgid "Contents" +msgstr "Contenuti" + +msgid "By" +msgstr "Di" + +msgid "Copyright" +msgstr "Diritto d'autore" + +msgid "Fullscreen mode" +msgstr "Modalità schermo intero" + +msgid "Open an issue" +msgstr "Apri un problema" + +msgid "previous page" +msgstr "pagina precedente" + +msgid "Download this page" +msgstr "Scarica questa pagina" + +msgid "Theme by the" +msgstr "Tema di" diff --git a/_static/locales/iw/LC_MESSAGES/booktheme.mo b/_static/locales/iw/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..a45c6575e469914582f8223ac54793afc2f26575 GIT binary patch literal 1445 zcmZ9K&rcIU6vxNkQ1K`JhzW^9O#E@Eit%7dYK#gAi9`bEecO)P)iSf$odtU|@!-Kj zE3H@s1Vt#EJQy|p1zx-vUgE*TlPCWGZhqf(k;X}9Kl9$adGGrk{5-s~F0hVc_h5g= zK8gKw8$MVa+l9bSbmFrc>;gN$Zm<*V0gr*F!6RT6JPeM4`#}XB0Byp@Am^!p`@mOV z7q|)@0zW4Fn)rVt_HU5uZGb6o$Bx$f{UF;tAm=#)eg-dtd%-^-*V_PDx7aDf37`|? zeoukD;5CqS=MqLB_wxkgxVgmt1?-0X4dj{qO1J@X+@W2qe$Rs(cQvs`6FUcTpOYZ# zd6M|6Adj4TU>#hW-}7v_@AidK;vhE9mlyZXi}UiVd9FvXkushE>ug^<53aoj8)J$8 zzT$crKWU3f+%VcIZ9^RVa^Sf|D{h)8T{2EVYGYN-m<RHnS5jN<&_qFA{pYkrFO<IH zDlt&-EK+ZpgHfpz<^!d)oG=9?ZaJZqkza7EDoCSYM><~=w|xXST6$p^DKQdw8cB>C zxj87tTJ-|uo6xf+D2p+_=;?>@I%^v*stG0HugtZ28aJ+6Qc^pUp6gf-MYMWoTj~tg zX%+DUHR+isk=>R)j9gbir9vl=V(zQFO%D~)cU2G~TSm6(r@4MQuACYk8XnlX?>m1n zl?*mLUiMW+S_rt{mmE*`%Y4xZLS?ge#s||^w&DUuhxb&F9?*GH@U)weS8|?B-Ey=W zVXhhJO{GRkQQ(x)gC>{=GgAAp8D=l_%hoY_R?FV3>^s+=67+^<B{gW88Umjty%e-Y zb$Ugw1w9AqxUAC}$JA*V0S%fHRD;o^X-O+MROy|hd78nYNo#GF6@K?GqJ|hYnr#u& z^j4xwjde6}_fkT{rfVMcs+@U|{qr<S6^^ST1o9-?D9X<ks3xf@Xm<TQ)z&}JDm_~N z0HrH}me9_Oq-U^Z;~vmg4H=ebkuz+n<9{KPs35Q@5s*klZZxz2tWrfn$P!;O8t|^r zV%sIZj=P^hUi7dKm#fnY7Cq0hIdPSnsKV1=&8)7DCgK4kF)V4Chn&da!!p9(u-;@$ F;x7>$;pPAU literal 0 HcmV?d00001 diff --git a/_static/locales/iw/LC_MESSAGES/booktheme.po b/_static/locales/iw/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..32b017cf --- /dev/null +++ b/_static/locales/iw/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: iw\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "מציע לערוך" + +msgid "Last updated on" +msgstr "עודכן לאחרונה ב" + +msgid "Edit this page" +msgstr "ערוך דף זה" + +msgid "Launch" +msgstr "לְהַשִׁיק" + +msgid "Print to PDF" +msgstr "הדפס לקובץ PDF" + +msgid "open issue" +msgstr "בעיה פתוחה" + +msgid "Download notebook file" +msgstr "הורד קובץ מחברת" + +msgid "Toggle navigation" +msgstr "החלף ניווט" + +msgid "Source repository" +msgstr "מאגר המקורות" + +msgid "By the" +msgstr "דרך" + +msgid "next page" +msgstr "עמוד הבא" + +msgid "repository" +msgstr "מאגר" + +msgid "Sphinx Book Theme" +msgstr "נושא ספר ספינקס" + +msgid "Download source file" +msgstr "הורד את קובץ המקור" + +msgid "Contents" +msgstr "תוכן" + +msgid "By" +msgstr "על ידי" + +msgid "Copyright" +msgstr "זכויות יוצרים" + +msgid "Fullscreen mode" +msgstr "מצב מסך מלא" + +msgid "Open an issue" +msgstr "פתח גיליון" + +msgid "previous page" +msgstr "עמוד קודם" + +msgid "Download this page" +msgstr "הורד דף זה" + +msgid "Theme by the" +msgstr "נושא מאת" diff --git a/_static/locales/ja/LC_MESSAGES/booktheme.mo b/_static/locales/ja/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..1cefd29ce3cc08792667a82dc7ff47e9843107be GIT binary patch literal 1471 zcma))U2GIp6vr=uT2=%temyktnh+I|RZ$+uHv1sbO-LX%QhlH9-p&qe?;Yo((zoth z!EFJNkCxzqu~zx0SU`c+ubA-Uv++eAe7Tv~_Q5w};+y|7GulOC;?11-%{lkn^L6K! z-gVOq>v2dQ<VVPpkYj7`!s@w)F+6NNUiX0;z#ecjxE|~S9|NBT9|6l?FZdd`5ftDi zFv$5fNO8`94}xuQ19$~|7`&bH``rF>u6IDn_Xk)2*RIXZZv;v211Zik;1ak4q&&ao z_TO@S&AKd35BL)Hd%<mB1>6F@2|fYNfYiq|km|n!QoJ8>{U?y}t$^hJJGcehbZ=(g z0h0bQNasgDiZ_<)lR3|UkHUThq>)oh@}pU9hR|%O@9u?E>>&uvmlpL;i{?kUXs#3! zA=v{Ey4&tWeb61=55ZW{`(?Yv@$jH7*egl~LIyrQ+;Pvb>jB%X-jWSv)wooF7*^^a zA8{ID)$FU#tBQXZgSz8$*Rlm0s5t>b|D{&KM#HaqLP$QUYJ%;x{D6mU%?d<~D+xW6 z)jE6Cg@Yxz<NKjtgPtQ1MDfAh6}CUi=LuK&PN2MTw%@Hg@(|xewGGw9s9@=v4`)3M zDcf!cF0C=gwgLx9q&O60)hWu8C2>75=BO|)yDPjO+O|NI0-c}~bwE^u;+|UZ4dMBS zR^nOyBIPfpnG5^&>>F6!-~QYSg?zBZp>bD~cz^<)cN>-?`+2o)dA<nBuMbs<J6HWY zOZp?iD-Ou2syWgw@twm?P}plpJH%W|{D4&$Y=oZGC{~m=>X*25Q`IlO*w3@i^0SgZ zRp#5b_7~Xl$+OE7hnZ=9YND2D&Y9*#)@d&!S7*EK+UR$U{>JE*(KAMC6J0ZU+C;M^ z`q*e3JZ1ERi7p!bh0&j-o|DW(-_lp~<^OPPo;J+|qu);tEd58ke>rs)FR!$Zu=w!h z&Y7=QE_`G(9#lEWlJgUtTT#-!nao^I&VIs{Z!N}0r&&CGVrBLi!p9%ph)+&2{5I%2 zK7KuJEq2#CZ}bHdEv5a=V<T%}j@m=#P@4<M`KxKkN79TRV1B6oZ$(cTecD8yr~ND% zeJMS9DsH`FqN$|)ooTihCfwaLYMx)dG?(1?3f8Pp7Ed0(%f;xsE6WCeev%XKC9}A_ Jb0#{<{sfT*^1J{5 literal 0 HcmV?d00001 diff --git a/_static/locales/ja/LC_MESSAGES/booktheme.po b/_static/locales/ja/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..16924e19 --- /dev/null +++ b/_static/locales/ja/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ja\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "編集を提案する" + +msgid "Last updated on" +msgstr "最終更新日" + +msgid "Edit this page" +msgstr "このページを編集" + +msgid "Launch" +msgstr "起動" + +msgid "Print to PDF" +msgstr "PDFに印刷" + +msgid "open issue" +msgstr "未解決の問題" + +msgid "Download notebook file" +msgstr "ノートブックファイルをダウンロード" + +msgid "Toggle navigation" +msgstr "ナビゲーションを切り替え" + +msgid "Source repository" +msgstr "ソースリポジトリ" + +msgid "By the" +msgstr "によって" + +msgid "next page" +msgstr "次のページ" + +msgid "repository" +msgstr "リポジトリ" + +msgid "Sphinx Book Theme" +msgstr "スフィンクスの本のテーマ" + +msgid "Download source file" +msgstr "ソースファイルをダウンロード" + +msgid "Contents" +msgstr "目次" + +msgid "By" +msgstr "著者" + +msgid "Copyright" +msgstr "Copyright" + +msgid "Fullscreen mode" +msgstr "全画面モード" + +msgid "Open an issue" +msgstr "問題を報告" + +msgid "previous page" +msgstr "前のページ" + +msgid "Download this page" +msgstr "このページをダウンロード" + +msgid "Theme by the" +msgstr "のテーマ" diff --git a/_static/locales/ko/LC_MESSAGES/booktheme.mo b/_static/locales/ko/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..06c7ec938b4975c721caff60b956e343eef11570 GIT binary patch literal 1375 zcmZvaOKeP07{`yd4(d%v#j){Nj8{Ztn%SV0CPY#8w=>6`%k-R^d(Xw}Jf>8QN5e!h zBbA`3bkQ)WS=dVKSy@;~B<{I88!P_b+$$|{a=-hV^ZNe(@4NG5)%+^MSdZvHd_rtS zROaA?v3M?Hcvu@=3&Ew}VsJIs26lk!z^&jKFbl2%PlD~B0GES0VHu=655Q&M6L2Xw z0j>n66Mjh6KPU5VAnE-CQ{cRL@%?s?<{cpA*#<VjeIV&X$^MUI{tKi$3+FSo30whg z1a~Iv0jZ8WxB)DIRNsA&^1lMf_uGW;!4;T)1S!u~kn;aZ_S+W3`|Clvw>_Ef2kG3A zWc>t4Ehi1?A9+}fAZ<D~dmwd7lln`8>Zd{dqh6EFS_D$EB?$Vqvj_EszTqMS+R^&H z>|hBG*9E~2DXE3jK7P0*&#?=d9aa}*QCWE|l@|R<o#$trqL^9sRp8~sKa0BH_}sN@ z!MgH}M(RJ)?x0xobDj{A52(CgM=f9Tz|C7)<hhcV2QpV+$6Xw-BzJs25Ukg8B$6oJ zd$^mOiuF9<D&Nt{E3s2<!I78vLGspD5Cej>-n>7qsZZH<QE+KpaBNFE5Ru}Nj@>EJ ziA7vbTyRv7*q)W%4{Te&r9dUHqRxq&PWR-~XN2b?TZYH_Y0^)(lvBrgj&;rK@7cLK zl{7ZpS8_#$YZ%z&7A;41@?634e4(?a`?}KyX3lw*^v?<}-6eA>??^kt5A-`ab<~n} zfWBt<d6nud2A)++cPnqe&v5CsrhayBCy#$-w@bby%lGW)Ofge?7e1>o^Y9)w_0g!> zVByt<c|5_)*k$u{<ok4mg@es#xEW4g;Zdbx>hE}X>$!Q{z_su`ZeFjL;phL~syBFa zXVlaiX8iI$xBl9S?ljH#2qeqqHLg5*5Kc5=W8s^|_vRD}$A^$29KXrU!@=<O6jH(x zGq-B+7*$8%h>^_j5Dv6%;4cA#sHtggl>eA))${_687xQDk?6`Kc@OWFO}WOS!3uO( zjPOmFMc3|`Ymgi(M~_AsRb8*l6oj5N!k1G#oNSsg^a1i?<=NZRz?N8C9`e*ob%^~2 D6Q!<* literal 0 HcmV?d00001 diff --git a/_static/locales/ko/LC_MESSAGES/booktheme.po b/_static/locales/ko/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..69dd18f7 --- /dev/null +++ b/_static/locales/ko/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ko\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "편집 제안" + +msgid "Last updated on" +msgstr "마지막 업데이트" + +msgid "Edit this page" +msgstr "이 페이지 편집" + +msgid "Launch" +msgstr "시작하다" + +msgid "Print to PDF" +msgstr "PDF로 인쇄" + +msgid "open issue" +msgstr "열린 문제" + +msgid "Download notebook file" +msgstr "노트북 파일 다운로드" + +msgid "Toggle navigation" +msgstr "탐색 전환" + +msgid "Source repository" +msgstr "소스 저장소" + +msgid "By the" +msgstr "에 의해" + +msgid "next page" +msgstr "다음 페이지" + +msgid "repository" +msgstr "저장소" + +msgid "Sphinx Book Theme" +msgstr "스핑크스 도서 테마" + +msgid "Download source file" +msgstr "소스 파일 다운로드" + +msgid "Contents" +msgstr "내용" + +msgid "By" +msgstr "으로" + +msgid "Copyright" +msgstr "저작권" + +msgid "Fullscreen mode" +msgstr "전체 화면으로보기" + +msgid "Open an issue" +msgstr "이슈 열기" + +msgid "previous page" +msgstr "이전 페이지" + +msgid "Download this page" +msgstr "이 페이지 다운로드" + +msgid "Theme by the" +msgstr "테마별" diff --git a/_static/locales/lt/LC_MESSAGES/booktheme.mo b/_static/locales/lt/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..4468ba04bc134a84fea5e3c973461cf02c9c2da3 GIT binary patch literal 1413 zcmZvaJ*-qk6vsyag_RElKVp1=p+SgQ1!6(=Ws8Trm%IpJ!!Cq&-rn=>&feLX$$UJx zy>yfs3mYDtv7j(9R@&?)#@fol&{<hPVPZr0pWXX-58~v`{C3XFJ^yq5d;dDV{~Lkv z0p=3sADE{w@4tox<KXK;;1P$gya65t4}vGaL*NqlK6nOv7wm$^!5iRFkicVLYWNk% zdA<gZfZu_K!SBI$z@Hla*2Mp8_J4z{_aE2-_w8G}e-z~X63BTz27d-W2l0r1u<Qq) zfNz5Tf^UP*z)!$qIOM*U!H>Y(AbXL(_rUwj`9qL(er@8vgIw=pko$cKo&XOVSm=ES z^8O^qK3oL({z?<?gY07ovTq(_%ee>6$1#4Nz2(054oJ;=;JiGzE*_kpy=GszcBB+< zVRAov2m8<3><4U^|G(mLjYp;ti7%W@WK+ZsUk6=|lDOjTSmRV7txL4wTqQTPq1|wF zISlEQU>fNty(&qp7CIsI&UP&u6NiDw%84sTTvaj2><g8skj`SC?QkTndt6Xf>KHSL zUeFdvoa|j$6a9r=An&41F4Us$N7~+%m$|mVh$bZFtK3-hG;n2UNLsa}OO-T4EZt3u z>KyAVM0}tv?Q&E0p7b%7C80_}Cn&{@X_(sUMf(<oh-@9X&~LMTd#>ENwtj7O_x!@A z=Ua`j?LqCSBNGbv%p0ZcvK)?7h?KfF2W#z1yZ3^!ag#!O)ec>uZP}5RHgsxTRkqCV zwIfYx^-K=RwAWmi#E!InzKz|B%X0Cvd)CU+U3uZ$a!agNntg;f8E)25tYny{XFsAC z9jD(SkfM$V#H6LA*|v6LHF0AnD>v~vCkoohO{LBB-b;69+sY(u|L3sMiR5g1`bhd5 zjq=k+;szC}%nlMS$9vjXC#gc)P6nF&q9-bfo{CjQZe*xbNYi^#C9ConpM%1oLFKH0 za&)0WJ=gQWZ5W!M$i7!O!aIl|0e?HQ2Ro%kmCL#^O7u6its<JVb?G9^m?$yerAJ|$ zZOLY+Fx##<<Ci)qd?52?bQCIW>3{(8<Tx*Q1-TMM%b)wstrt>W!QLNCjg(=>2Jsvw ClWZvf literal 0 HcmV?d00001 diff --git a/_static/locales/lt/LC_MESSAGES/booktheme.po b/_static/locales/lt/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..9f037752 --- /dev/null +++ b/_static/locales/lt/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: lt\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "pasiūlyti redaguoti" + +msgid "Last updated on" +msgstr "Paskutinį kartą atnaujinta" + +msgid "Edit this page" +msgstr "Redaguoti šį puslapį" + +msgid "Launch" +msgstr "Paleiskite" + +msgid "Print to PDF" +msgstr "Spausdinti į PDF" + +msgid "open issue" +msgstr "atviras klausimas" + +msgid "Download notebook file" +msgstr "Atsisiųsti nešiojamojo kompiuterio failą" + +msgid "Toggle navigation" +msgstr "Perjungti naršymą" + +msgid "Source repository" +msgstr "Šaltinio saugykla" + +msgid "By the" +msgstr "Prie" + +msgid "next page" +msgstr "Kitas puslapis" + +msgid "repository" +msgstr "saugykla" + +msgid "Sphinx Book Theme" +msgstr "Sfinkso knygos tema" + +msgid "Download source file" +msgstr "Atsisiųsti šaltinio failą" + +msgid "Contents" +msgstr "Turinys" + +msgid "By" +msgstr "Iki" + +msgid "Copyright" +msgstr "Autorių teisės" + +msgid "Fullscreen mode" +msgstr "Pilno ekrano režimas" + +msgid "Open an issue" +msgstr "Atidarykite problemą" + +msgid "previous page" +msgstr "Ankstesnis puslapis" + +msgid "Download this page" +msgstr "Atsisiųskite šį puslapį" + +msgid "Theme by the" +msgstr "Tema" diff --git a/_static/locales/lv/LC_MESSAGES/booktheme.mo b/_static/locales/lv/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..74aa4d8985d96a07c4c9be96f006f3b58d884342 GIT binary patch literal 1404 zcmZ9K&5ImG7{*_dsL7ZQP5eMvump*E7&XB|oMjFhcNYS?IAk~8Yi8c*sqUVtras2( zdKwT<9)#7Cr{GC*^B|r)^?-kXCk3y9;7t%O;`2^-vdb1-{p+f(exK)k=-;oN`-(7L z!d%1r1@l$R&!4~z<NO&STyz1qr@)KgdGH!|0bB!L1h0e7gMIKSco)13GI#}yEk6aN z&X?dN@N4iQ_$~Mx_(RK|+x=hL^&g<<{R?)$vuB&{FN3mP1EtOz;E&*Ypy>Ps;uHG2 zUH=1$um8Z;!As|eUIA~m+y%w|6qJ5G0bd5c0G|fGYu|qlzJT=-lzP8`lHs4A_&D=q zlgkxQ>Rkt~f$z861tmufO5Zssk;}JoUbN-BWGj829FU-AF-2E~^e;o|NY;|8ctc5g z22*^U9FmJ@OFxKVl@HxMz@_4p=>umY+Zgar9e9&XBW=2mZRzw_Sr>WeT%jhW<m2t& zk{|J@%{VndRXStZ8k>mHkCxl1EW^k%TQzfIrX3xkO4V3L9xG?DPIfe<4=WtdR+$hI z)4&^xB2Eo9w`s4@^IW-LqVor|S51w*uWpOC{VC6wR(CaQdfIncR<g2sZZaJWL@eKr zjXNhgjY#ErZd__@pC}(vmN8s1I)N3J^C))jjJqGP52)5tjeb}3yDR0+?w#GO<M%h- zez(&G+uc8?xThivyi=9h*mX6UY9BcE@9l4QZylfW+J*`H?v@?7v9VcC-5Q$M+0iyj z$hD`+d1p{2ugmVX^Rv)XwpuMi|K_@C9{X=v^;%!ucx$~w8wptj+VHfeW0EJ?h=xP` zaHs?AaGol|WxW{JM@Yx;Vf}EHCzbhnF+*<4&(i5bdhViD6K%><uX4jtEgv{l>MGG) zBv*eURUdB+Oli45Wvi9v<xh|bG^mfDojcFwQ0bWCS1`6-;BUNl80tk4X(P_rOYO?L zVObx|5^efa;EenlYJwo}TrX&2<xB)(nltT9j4gtG)Qb)(;$z)ppxecuUig5bS#185 zdNDG2A~+~C%1SRfR4Fj&SRkhu6f8n5PcUz|g0o`z03Ec4>9Ia6vne84ZIht?0o$f< A2mk;8 literal 0 HcmV?d00001 diff --git a/_static/locales/lv/LC_MESSAGES/booktheme.po b/_static/locales/lv/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..c9633b54 --- /dev/null +++ b/_static/locales/lv/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: lv\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "ieteikt rediģēt" + +msgid "Last updated on" +msgstr "Pēdējoreiz atjaunināts" + +msgid "Edit this page" +msgstr "Rediģēt šo lapu" + +msgid "Launch" +msgstr "Uzsākt" + +msgid "Print to PDF" +msgstr "Drukāt PDF formātā" + +msgid "open issue" +msgstr "atklāts jautājums" + +msgid "Download notebook file" +msgstr "Lejupielādēt piezīmju grāmatiņu" + +msgid "Toggle navigation" +msgstr "Pārslēgt navigāciju" + +msgid "Source repository" +msgstr "Avota krātuve" + +msgid "By the" +msgstr "Ar" + +msgid "next page" +msgstr "nākamā lapaspuse" + +msgid "repository" +msgstr "krātuve" + +msgid "Sphinx Book Theme" +msgstr "Sfinksa grāmatas tēma" + +msgid "Download source file" +msgstr "Lejupielādēt avota failu" + +msgid "Contents" +msgstr "Saturs" + +msgid "By" +msgstr "Autors" + +msgid "Copyright" +msgstr "Autortiesības" + +msgid "Fullscreen mode" +msgstr "Pilnekrāna režīms" + +msgid "Open an issue" +msgstr "Atveriet problēmu" + +msgid "previous page" +msgstr "iepriekšējā lapa" + +msgid "Download this page" +msgstr "Lejupielādējiet šo lapu" + +msgid "Theme by the" +msgstr "Autora tēma" diff --git a/_static/locales/ml/LC_MESSAGES/booktheme.mo b/_static/locales/ml/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..2736e8fcf6f9e923c2403307f0b366086d37b335 GIT binary patch literal 1883 zcmbW0%ZnUE9LGydG>*^22ObnFl0!U<F?v~M84uang_R91WTPTpdS@y#9cQbX?w%xj zO9DQE4^Wtdh!7$o%c?O6)p6BiJ>=*`!Gj=35eWD<h=+WtsxwQLHHgJ@ed_UheCt;= ze{S0}6tqYAp5(jC_Y~iochJ#(fp@}R;oa~zcrW||J`S%#=lc)b2Df7TAlv~Tf-gen zHvu1jFT?xc>u@Vn6%SYIC#v~L=<+PV8oUUd{}t%`e}*gYclZSS_^!ZZxSjb`_!_(p zTd=uFh;ewl;wqeG{x{qKTbqR#gE5?hpTno&U(oq&;Si6(7JLc50p0#-xD$R4pMlrl zez^G_At=eHx!OEj&F+K95`^|`3%xs|tB0$dYp$lQaXj&eABB3jp*ug}eRDN&btbLg zC_?O6<R^=s5)(<fn8n>*AzH~{-A|&9)JdV{ljJRVAnvQR<vbZ=ZMAN(=*78AqplK@ zowy+4&FM^(7jlqxqC$0KqQy)!(CwahB~@BRTE=-kP+~TVHBO0~ZB2=NA%3RPB#(<E zTNL}!UaXJEJx<G9Pc10ndpRGZ&n4Y%Ur8Muin~z}lSHc{MNpHtJRwP%sY7uxsAT4Y zZdV~qA(#BgLDeqm)1CUOD$5DckRfT^C9V5(wY}4OC)f6OKlglXBGHA?MSX5DRSj8? zbywPtVm&U~y(r67(cC{bRUcck%Oag0P+5Iax06n+yA3%u9~ZTmNOuPmuOS!uwb}k4 zi~9AcBwNTEQm1~JH(wZ+Vc6WM<@ToB{p@&6So4uJ#+Jvd`NEo?tohar$`5b1v24xI zmY1zr#?bYqbSq}nnoHIk$92h;?^|=mZ-@SCp8_`=TraKp$|WnWFgk0?AFR3Pofx~# zPi^^*-^U&+<PC{?!kP;{8$!>l4{_?&D7b7K<UJfw{;oBjg<Pck-@a7utgqVze>D1k z&HJ`jzT)e&M4gbqlB?mhqaXMpAZg<;-hlh5ZiX1=e3<iuvE~~uU{u?xR-agN9yQ^x zR1w=tUSpM;SXffdTOIiW)$!pnP&3+cR}yZUFchB)Cgkl-yZ)-kO~8|0hkGI`J_2um zXs7)+By;N_8R~)&2OqM8;G^Mrjg*}8L3y&_(YY7MQzRnyNw)87`6G_JKwjf1w^6P# z-}qT@7Z{S%6`3BxwO1nia;R50`%>6nUswzgb&SN${bnp4Gv=IQ6$P05hgaiFop^2w W+5FkQ^s?wV7=JSkIl3Km4aE({iDO&< literal 0 HcmV?d00001 diff --git a/_static/locales/ml/LC_MESSAGES/booktheme.po b/_static/locales/ml/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..9a6a41e8 --- /dev/null +++ b/_static/locales/ml/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ml\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "എഡിറ്റുചെയ്യാൻ നിർദ്ദേശിക്കുക" + +msgid "Last updated on" +msgstr "അവസാനം അപ്‌ഡേറ്റുചെയ്‌തത്" + +msgid "Edit this page" +msgstr "ഈ പേജ് എഡിറ്റുചെയ്യുക" + +msgid "Launch" +msgstr "സമാരംഭിക്കുക" + +msgid "Print to PDF" +msgstr "PDF- ലേക്ക് പ്രിന്റുചെയ്യുക" + +msgid "open issue" +msgstr "തുറന്ന പ്രശ്നം" + +msgid "Download notebook file" +msgstr "നോട്ട്ബുക്ക് ഫയൽ ഡൺലോഡ് ചെയ്യുക" + +msgid "Toggle navigation" +msgstr "നാവിഗേഷൻ ടോഗിൾ ചെയ്യുക" + +msgid "Source repository" +msgstr "ഉറവിട ശേഖരം" + +msgid "By the" +msgstr "എഴുതിയത്" + +msgid "next page" +msgstr "അടുത്ത പേജ്" + +msgid "Sphinx Book Theme" +msgstr "സ്ഫിങ്ക്സ് പുസ്തക തീം" + +msgid "Download source file" +msgstr "ഉറവിട ഫയൽ ഡൗൺലോഡുചെയ്യുക" + +msgid "By" +msgstr "എഴുതിയത്" + +msgid "Copyright" +msgstr "പകർപ്പവകാശം" + +msgid "Open an issue" +msgstr "ഒരു പ്രശ്നം തുറക്കുക" + +msgid "previous page" +msgstr "മുൻപത്തെ താൾ" + +msgid "Download this page" +msgstr "ഈ പേജ് ഡൗൺലോഡുചെയ്യുക" + +msgid "Theme by the" +msgstr "പ്രമേയം" diff --git a/_static/locales/mr/LC_MESSAGES/booktheme.mo b/_static/locales/mr/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..fe530100d7715cdc19a6f9db33a971665835f3c4 GIT binary patch literal 1674 zcma))-D_M$7>7rVU#qnriYO?KB2uYGt)hetL1>ylCBZ;a@uD{;yVJ8rH#3KG&bG~6 zRisua;ze5NO^wW!;71IF+EldSwKo+61wrP<OaB8ed}e0Nwy{Eo-SeFJc;Daq{^tC# zYh+n49^n57|L^!e%Ky+UJQ!Eut?*}f2mA%z4S$CZ!at#p{TuFrJ2`wGd=hSlFG3$T z0k^?d;l1z;xD%=Yj}F#P4(6w!*I9)PcmewO@1c+X32wmOpx6EQwnz&fVtxs}0<Xe- zaL0%cFT=S3KY)9f{|J2_f5E5V$n8Rm!aZ;|Y{O^ZDd_$A7QO_3g^$5)H0PPXhv5u- z0%j0PHixfq$6$63q%1*-Fz({%d-Q&I@BHwd`ayf*{_qz4@UOoAI|pmt6Yn!}f);3Y ziJz=HN=%qysm!xZE%uwEx@*$5)TUMo#=IpD=Up{iu1v3NsV$3jC$D6YW=c%9^O}tR zPN&nVmc62#)~YRy7Sm}@w>sjrLTQ<5nO9X$iP<vO1Q|KIe@e{7{G}>PmDi?R5_3f- z*T>{OU(0+)Eh-V7av_#JZ?debq)w0ISz70aXmzZP)flf6MT$}#$xUxiX4T6wMQMt1 z(Km0ZR-GJZC$ForB1Kb1(Zq`;L9Q`#U}kc-zxUba8xuy?O4rH!QlXl%M)kR(o922< zwmNB9se1h2{8TbJJXfZ=I;_fMQnySy*I84JF64D%I@MVZ^O|z8Y|M6hW!g=qOu1M! zr7ps>8h>F-#@F%PT0TB5_dY$=5YC=={Zr0fboPp~>pX9~wCwsPo&DVPkH=Hao^bXY zXIEYSL*AVI()HhVc3C?6MacEOvlp1GgbA^$%){9gR+l%mHiEnj&-JixH&Y;SGbt{+ z{t03z?p<dug-oB`g!2D{Z8-amPv-qN@9YoG`htc9zvt{}1VaO7qcTg;#jiOWI`vV) zH|(=u%h~Hvd=!0J3y#G|l&)|FpFWA65gpxL37!*zt=!T&r>+g;%KlU0jXnJ;6hm+E zO4d<`2T4o{Hn?Oyg$)#jm)Q^UYaHJCp>S-t$!CBi7ej)}A>Wy>@(p%y@Lc$O&cyp1 zdP#?v^I4GaH+|g|B8k!Ldl%Wfwrg(}`)i>kl#a*D@zz$^*>a1%2AcIZ5x;fu4@Sqm A6951J literal 0 HcmV?d00001 diff --git a/_static/locales/mr/LC_MESSAGES/booktheme.po b/_static/locales/mr/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..ef72d8c6 --- /dev/null +++ b/_static/locales/mr/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: mr\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "संपादन सुचवा" + +msgid "Last updated on" +msgstr "अखेरचे अद्यतनित" + +msgid "Edit this page" +msgstr "हे पृष्ठ संपादित करा" + +msgid "Launch" +msgstr "लाँच करा" + +msgid "Print to PDF" +msgstr "पीडीएफवर मुद्रित करा" + +msgid "open issue" +msgstr "खुला मुद्दा" + +msgid "Download notebook file" +msgstr "नोटबुक फाईल डाउनलोड करा" + +msgid "Toggle navigation" +msgstr "नेव्हिगेशन टॉगल करा" + +msgid "Source repository" +msgstr "स्त्रोत भांडार" + +msgid "By the" +msgstr "द्वारा" + +msgid "next page" +msgstr "पुढील पृष्ठ" + +msgid "Sphinx Book Theme" +msgstr "स्फिंक्स बुक थीम" + +msgid "Download source file" +msgstr "स्त्रोत फाइल डाउनलोड करा" + +msgid "By" +msgstr "द्वारा" + +msgid "Copyright" +msgstr "कॉपीराइट" + +msgid "Open an issue" +msgstr "एक मुद्दा उघडा" + +msgid "previous page" +msgstr "मागील पान" + +msgid "Download this page" +msgstr "हे पृष्ठ डाउनलोड करा" + +msgid "Theme by the" +msgstr "द्वारा थीम" diff --git a/_static/locales/ms/LC_MESSAGES/booktheme.mo b/_static/locales/ms/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..f02603fa2522a40060bd3f1b5d65052c77530de6 GIT binary patch literal 1213 zcmZXRJ8Km|6vs!6uj@1M0TG1}Eworov<WxdCN~L05)#Z+EG(S6JK3G=?#wceB=;j& ziG^uW3sx3Z7K$IhMnOan>@58TBL2_ajS)TU%x`DrywA6>k!K8Y7V9F`8>~xM5BFh% zd;s@@AHhT5C-5lv6+91q2g&v)I0lYF`6PH1JO$nc$*v2Y0Pldu!3W?dC>w4z_m7+N zHb`+^fGzM9NcL|*vVRZ02ETwK;L`&&w?VSo0ms4TAm#b4;b-tP&Og8l;4hH$$Kizh zUTHW1Qhptf^p`=>djwK_>)<(X03HLMfK>lZ^ZpV<Oa2JGkslJ$M_6`{4v-^QR3pVB z-z3yi5|qcz4FBr*^h<djZtkcj)Mx53LNYcpz{h<iS=UqptJ2J~S+l7NBNDESmwjV$ zzNQMfckN8DvHa)KXUg$Pq>{}g%EROCaZxzWLzM_G6K*tH6hX%sTdt($LUZL@kZi>& z4I{%>X6M;z?cd7EIOUBUu+=J4dW+9cF1<{ak_~s>uT$@tG%Y08Vne0ED+JMU%h%Z$ zic<%vtlUs0G-<k!rV^=1q>K1wUB*6INTU1FI=E=_I%q^eqhYw#(!$c*-uvW@iB{KW zFSU<)gG#o!N7S2DA(WoxaVD&jzH_fPA5HD)S)tvUw9%Z7O`>$#=2Ly;TZ=-c0nKak z(zRBKU_}wl8(X?I*VXXoI=7~I{oA>w`Q;9uyguDx%Y{TQY0E^;V^w*<mV!VpgAJOm z303fZ$OFyt{}&g^zO;WEWTFryjYX?^kbhtFq!oFlEKgJ}OW}A9HMBVqn5vG2&4p$& zAr~BvaFnsG^hhh0!@1tw9jM|>;2yki7=)(TY<OX)9L&@d%}AYMC3$t|i|6R7w880t eV9EtF-J(E&`s>V{?8_pQ^c*8Iog%4v$iD&q$RjNP literal 0 HcmV?d00001 diff --git a/_static/locales/ms/LC_MESSAGES/booktheme.po b/_static/locales/ms/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..e29cbe2e --- /dev/null +++ b/_static/locales/ms/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ms\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "cadangkan edit" + +msgid "Last updated on" +msgstr "Terakhir dikemas kini pada" + +msgid "Edit this page" +msgstr "Edit halaman ini" + +msgid "Launch" +msgstr "Lancarkan" + +msgid "Print to PDF" +msgstr "Cetak ke PDF" + +msgid "open issue" +msgstr "isu terbuka" + +msgid "Download notebook file" +msgstr "Muat turun fail buku nota" + +msgid "Toggle navigation" +msgstr "Togol navigasi" + +msgid "Source repository" +msgstr "Repositori sumber" + +msgid "By the" +msgstr "Oleh" + +msgid "next page" +msgstr "muka surat seterusnya" + +msgid "Sphinx Book Theme" +msgstr "Tema Buku Sphinx" + +msgid "Download source file" +msgstr "Muat turun fail sumber" + +msgid "By" +msgstr "Oleh" + +msgid "Copyright" +msgstr "hak cipta" + +msgid "Open an issue" +msgstr "Buka masalah" + +msgid "previous page" +msgstr "halaman sebelumnya" + +msgid "Download this page" +msgstr "Muat turun halaman ini" + +msgid "Theme by the" +msgstr "Tema oleh" diff --git a/_static/locales/nl/LC_MESSAGES/booktheme.mo b/_static/locales/nl/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..e59e7ecb308a7648cd23aa6342a9ad98a61d0009 GIT binary patch literal 1356 zcmZXTJ5Los6vqcag)1TtUj+$cqf)Gju^^CJh(JODkqBZvyL;~La`(<`W@dTSmfC47 z`~-XfW8nv|v9q$Ewb8~-3*-OXUAP1%JNw%?Gxz+@WA4%Tz*~WF19KAdE9MmDt3JFi z2G0qBM-1V00UQPg!3l5(oCL3fx52Am6C4Mhfg>P+S3qC$CCGl>fS1Ad;4pXyj)5O) zey;7`>h*V!^?rj5u)n|h{RqhGNs#^A0Y8F|zya_lcoF;svhE*{<LblaO>ng4G|2HU zfE@n|kmKI2*9Rc$zXmzZceVWx9L4%m%`YJ5bp-OcA0YetTieIZSNl^S#~pwZ;4H`` z=N$Mv$HI25E$f~haMji1Jb17l9<0YPv;H+qxD=N#xwoeW*MWP;bwN40{S^!Qc%)BB zJTcmn_6{G#zRi-<i$$}mbE9IZji=C<wrpiN^~}zcHli~|pJq-LDj~5HXCAJPm&;|I zyT}r0*)cJRRpq=ai&%MzrO{ZII!eXU0tb|qnR6wHb(?88F>-xzS!`5#mI~uCZ|uI< zDAG*t$pwyWGo=oR?puacPMao4a*|r@WQp<_L^SRBDmueDl}KS}Co^Ro_9^$SOcFwr zgiH{M*`~+`D{-(z*1_AHtn>rc54y^YwUxD{-u}$J2aUS0!RCHJbJ8P#`$euYJujnF zSx3J4d~-RN?VYnqyB67CNk=BmbTTJr!^}5Ul}<|3bx!KMv7VP!<-xMC9S1|vUApGO zd0Bln?`nCgDQBkV8|as@-IqkwS9EI1Sg6udX`Q7gMb~>RJ??afw3Uu~8!34iTBHBl zi0Od1qM24Aq+POY$n;EGCeKm6M7k&?+d-F=M@18=IxkHDla2^|PO9GX1u3ivbE1xT z+=^}4Zo{ONva*O<VgXT@!sRMK8R4wH1VL!1jf>n--8-OUjI=r94V1Y}`N=IHv19Ut jbWAeLReX?b<52fDoT%;?`~gm~I(s23S;SN2irW1H>^?=m literal 0 HcmV?d00001 diff --git a/_static/locales/nl/LC_MESSAGES/booktheme.po b/_static/locales/nl/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..e4844d7c --- /dev/null +++ b/_static/locales/nl/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: nl\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "suggereren bewerken" + +msgid "Last updated on" +msgstr "Laatst geupdate op" + +msgid "Edit this page" +msgstr "bewerk deze pagina" + +msgid "Launch" +msgstr "Lancering" + +msgid "Print to PDF" +msgstr "Afdrukken naar pdf" + +msgid "open issue" +msgstr "open probleem" + +msgid "Download notebook file" +msgstr "Download notebookbestand" + +msgid "Toggle navigation" +msgstr "Schakel navigatie" + +msgid "Source repository" +msgstr "Bronopslagplaats" + +msgid "By the" +msgstr "Door de" + +msgid "next page" +msgstr "volgende bladzijde" + +msgid "repository" +msgstr "repository" + +msgid "Sphinx Book Theme" +msgstr "Sphinx-boekthema" + +msgid "Download source file" +msgstr "Download het bronbestand" + +msgid "Contents" +msgstr "Inhoud" + +msgid "By" +msgstr "Door" + +msgid "Copyright" +msgstr "auteursrechten" + +msgid "Fullscreen mode" +msgstr "Volledig scherm" + +msgid "Open an issue" +msgstr "Open een probleem" + +msgid "previous page" +msgstr "vorige pagina" + +msgid "Download this page" +msgstr "Download deze pagina" + +msgid "Theme by the" +msgstr "Thema door de" diff --git a/_static/locales/no/LC_MESSAGES/booktheme.mo b/_static/locales/no/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..6cd15c88de675226c00ca4d0430171075e5559ff GIT binary patch literal 1317 zcmZ9KJ#5r46vxeXdz6pzxm3a|d<+2!3{|TeDD*@{E2`eX#NxZWChjG6WIIQ@F#r=I zh=CaiW+cQ+7sSlefekSsA;E&g!2exRwZe-1i=UnMe;@gJZ0`$!aT;?1^9$w~%xAl> zV2tb*0*@HQvL74+N5JFYC^!M00?&abz$SPMTm}z=1ReoH&Bq}7c@7=|Ux8!bTW}nF zU-MIK->moFLDu^NHo!f5s_zejyq^Hs&w20zcpb!5@dLyoequQQ{ss?%e?g9WWG`|7 z&ww2NwR(RWJc|7Tkn_pGec+?o{<P*xkoDhyobNl3bv}Ze_viY26XblqfgI;Ako~h$ z)*lDC<b1|@91GhyM$UWZz^B7+S&s+n^WgfiChMHU<ajw(?(NRO_2(XPoLn2OlbBt{ zBST8!rZs^~@OUZKolepqZrO(>vnrOx2I^Ydmn%A>ZL_zf>(PJ4kZLarm5`W=b%5)w zZL7>O-*ZGp<~Am=pnQ;J5vxG4v<Caq^ipxRzy)Qb_P!*s<g|ekE0=DyM7z>+R9LTr zb?c&Cq}r^>S&prfQchyH%5IfY$0kWe(x`z>RL~GHv=*x9EbCMvg`<JCWgYeo_r6RL zLX?C|5Q<%;UWn%7=sr0QZ_~2Uk61q%DmNDA7w5LmCof%T)P;>Y>jh2AfB-HRnbKxP z_EP0Mh336ZE1KHA=alg)<f1v#v#~bGw4Cbd&{$9=DN)yHw4<?<l}=?*%evgdPz<-e zd38osugwcao^8s>i!%*zV<7HREar_#Z59h#6sa0`M<G-_FsMH|tU}lJxxw5DB+cf& z&SLt{7Lzd~y#~cHDwB|tJ8i>0_gBf~5&B$u(bn(=RqnJ4d{?xCazSi7Dd36F5NEp? z<)YnpdLT<QTxY|M-(me2{SI5LMvQ@SB|2E78sP5@2zA(CzdCHN4^?zx<2720!!pmw hi52VcSJy{~rb`2bpDXdWAM+{sY~!_bRYo`v{{W+8I9vb# literal 0 HcmV?d00001 diff --git a/_static/locales/no/LC_MESSAGES/booktheme.po b/_static/locales/no/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..d079dd9b --- /dev/null +++ b/_static/locales/no/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: no\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "foreslå redigering" + +msgid "Last updated on" +msgstr "Sist oppdatert den" + +msgid "Edit this page" +msgstr "Rediger denne siden" + +msgid "Launch" +msgstr "Start" + +msgid "Print to PDF" +msgstr "Skriv ut til PDF" + +msgid "open issue" +msgstr "åpent nummer" + +msgid "Download notebook file" +msgstr "Last ned notatbokfilen" + +msgid "Toggle navigation" +msgstr "Bytt navigasjon" + +msgid "Source repository" +msgstr "Kildedepot" + +msgid "By the" +msgstr "Ved" + +msgid "next page" +msgstr "neste side" + +msgid "repository" +msgstr "oppbevaringssted" + +msgid "Sphinx Book Theme" +msgstr "Sphinx boktema" + +msgid "Download source file" +msgstr "Last ned kildefilen" + +msgid "Contents" +msgstr "Innhold" + +msgid "By" +msgstr "Av" + +msgid "Copyright" +msgstr "opphavsrett" + +msgid "Fullscreen mode" +msgstr "Fullskjerm-modus" + +msgid "Open an issue" +msgstr "Åpne et problem" + +msgid "previous page" +msgstr "forrige side" + +msgid "Download this page" +msgstr "Last ned denne siden" + +msgid "Theme by the" +msgstr "Tema av" diff --git a/_static/locales/pl/LC_MESSAGES/booktheme.mo b/_static/locales/pl/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..9ebb584f77091f5666db4194ecd4f707396cbbca GIT binary patch literal 1371 zcmZ9Ky>AmS7{(1PP{Mcl94asi9}+1PF;uA{A!sWqQCgLP1e<f`UfjFbC)?NbGFBiK z!~{ddU(mS{AjC!@F)}bQure_*AU2*iceDj7=U-lbJn!Sz{x&@LilLpxH-hgAzH|7V z??Q(*w3{*f*nV_-!GquscpTghj)14Y3*ZT`4i1A0;9*dLM?hcl2}n9G!9(C{@F2JW z9s}Q${8WyAE#vPX<@*g*z=45c|6!2g5s-8)g73f^;2!Wt$)Df>#J@rEvuCjIeG)u_ z_zHL&oC3+mBarlB@FchjQl1we?OzAU{{~3=--1+!&*l7gkoNrokAjC_hW4EWNq-dF z2i^p!UUxt$Ipw67YDs=blg_=fL9(w&^`%C>sF5z^AYYUllKnH&-R^8uf4W1;k8<?y zm)*+o<Gv}`ZKJ)^-r-N0TNO1un>1~m7!h)9ylfZ~^CgwY?O|s!8_53#eN#D}ib%4l zP<crI4X3jtae<Xm^OgxEyDOaMSsDs2LvA$UOb1Oimtuj?TsfCXHgA=Nh~e{-)9ikc z&&t#|<&DkR{j{m{D!)bE7MrpqS-<Cv;!KMsiW14SSW%Ji3Q4qF^@Te_d5R>dl`G0* zrR^Q^E{h@wml7v|6|*b@U!4i752bZbtMMX#mGW2nnJcq1vs2siW24t9Wnrs}c`9q% z!@$)v5lT<+ped}AzW!iwx;nnS&I;|8q^(Zrz=TRiH9p=@zH(RSC_`OqJWVR|NoGY- zoi?`RYFwxN(ABR`V3KC)moz_L=VO;ADlp!Wow9!{+QNF%d)<A;Qj36#43%`TLaj|h zN!x*fis{OQ*D4nO4)@;MkDFm{&9w8a3Ey4k&Re6q>$vmWXUlwR2&%HTrgJW19E;7l zzACcDJ`;)Rh+tW;2Q~|urlsI%&bL2qk_T%ViEOb+o5j!ziwCfPoA2cCtFji~wj$ZA z@p+raPIaI5KE$fLmvXo`p>N|Ts6=nA`!wj_O|<bQf@OHVhlki*PqipcA(+8h>+>xW d^Crc{P^+yKEfI-Mu31OGXlgVp$}sP%{Q=l!SrY&N literal 0 HcmV?d00001 diff --git a/_static/locales/pl/LC_MESSAGES/booktheme.po b/_static/locales/pl/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..fcac51d3 --- /dev/null +++ b/_static/locales/pl/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: pl\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "zaproponuj edycję" + +msgid "Last updated on" +msgstr "Ostatnia aktualizacja" + +msgid "Edit this page" +msgstr "Edytuj tę strone" + +msgid "Launch" +msgstr "Uruchomić" + +msgid "Print to PDF" +msgstr "Drukuj do PDF" + +msgid "open issue" +msgstr "otwarty problem" + +msgid "Download notebook file" +msgstr "Pobierz plik notatnika" + +msgid "Toggle navigation" +msgstr "Przełącz nawigację" + +msgid "Source repository" +msgstr "Repozytorium źródłowe" + +msgid "By the" +msgstr "Przez" + +msgid "next page" +msgstr "Następna strona" + +msgid "repository" +msgstr "magazyn" + +msgid "Sphinx Book Theme" +msgstr "Motyw książki Sphinx" + +msgid "Download source file" +msgstr "Pobierz plik źródłowy" + +msgid "Contents" +msgstr "Zawartość" + +msgid "By" +msgstr "Przez" + +msgid "Copyright" +msgstr "prawa autorskie" + +msgid "Fullscreen mode" +msgstr "Pełny ekran" + +msgid "Open an issue" +msgstr "Otwórz problem" + +msgid "previous page" +msgstr "Poprzednia strona" + +msgid "Download this page" +msgstr "Pobierz tę stronę" + +msgid "Theme by the" +msgstr "Motyw autorstwa" diff --git a/_static/locales/pt/LC_MESSAGES/booktheme.mo b/_static/locales/pt/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..d0ddb8728e1d5ef72dddc1537f66aa32251a83c8 GIT binary patch literal 1364 zcmZ9KJ!lj`6vsyszs~RYi3A)AKVkhsL@peXm>dKW4Dqy|yM5Uk-JMxyXV09qrC4bb zE3pu<6hyS##>&dd!p6cz!N$T$|8I9gLWZ0D-MpQB@BjWY-^NCt35+9{<CtGCk7GXG zga^j<%|hTOcHprU+y!n24}d$saquvB3Ooq5z%g(U+yfH07xXnBft=?lxEp*9?gC$f z`@wfLKh^QC_4)_M_5OklaAc(Veh<j&agg(z2H%5MKx`Giz)|ow$lw0~S<gT47`PWN zS@$`RbziT!2=YDxkAgY46MO>h16S(zZ$SR;BglC^gY3_DkUjkg^8V2+RlY+YuTO%k z_iDYq0kY*B<9wX!0496Oy4Me+EOW5GJh*=z>>q1pUk_m-WvQ8UtRL(@Yuttj8%m$V z)DS=E`y_5y<H`68f6}4TQQwPc`@qCjh0<70U2E^jB^}dRIJ3Fy(T1S!>rAF9A~6$c zkJPKnb{@xB&k-4!*pS4W%Dl|eP<aZaHCX4S*B3WaY*0q(EXzqOIBk%`%7y8+xK-72 zl-f*t>xSZ1+Sg`TPO-L5pAr(~Q+BJKIyQ=8l12@5q`XEEL(9HWXSq&QBy}{<Hm_x` zOP}RYL{LfS1XAo>>iJ+c4DOK2kgX}J`T^Gu%F2!T+4-5Z_m|FJY}CdEoncB%=^@}k z8Y^ukWUsGWM!t2s(+;k!?Q_axOXPwX)3c#AQBz*)YTuYsCd%P!Q>MPL5a&+CLEE|{ zYf6)r%dB;ILRNoUXN)}2l9$d-G{iJ)q}Wy`Tzm+v2(=>^C{+#@RV=2IURF*jcR$wy zD??aTpZLaCOMFYpAW1l*WLmt4v{B_@b0}L2&D+qT-&mnh(n=I7vDb-`%I7N94^{E1 zcxfdiIC)dNQVDLK6_Z`3WS+>>*=|gU60=F_bfO(LmX~0$I{o6U(^gh;I@l*sE7k*N z>oXB$Fttuh#-5x(d)$^9P*fEbsVm+tv!2x!?&s);C8;hsuS6ZkWkdpvO!dtuOAFi$ LL?J8GWh3H0!r)O_ literal 0 HcmV?d00001 diff --git a/_static/locales/pt/LC_MESSAGES/booktheme.po b/_static/locales/pt/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..1761db08 --- /dev/null +++ b/_static/locales/pt/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: pt\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "sugerir edição" + +msgid "Last updated on" +msgstr "Última atualização em" + +msgid "Edit this page" +msgstr "Edite essa página" + +msgid "Launch" +msgstr "Lançamento" + +msgid "Print to PDF" +msgstr "Imprimir em PDF" + +msgid "open issue" +msgstr "questão aberta" + +msgid "Download notebook file" +msgstr "Baixar arquivo de notebook" + +msgid "Toggle navigation" +msgstr "Alternar de navegação" + +msgid "Source repository" +msgstr "Repositório fonte" + +msgid "By the" +msgstr "Pelo" + +msgid "next page" +msgstr "próxima página" + +msgid "repository" +msgstr "repositório" + +msgid "Sphinx Book Theme" +msgstr "Tema do livro Sphinx" + +msgid "Download source file" +msgstr "Baixar arquivo fonte" + +msgid "Contents" +msgstr "Conteúdo" + +msgid "By" +msgstr "De" + +msgid "Copyright" +msgstr "direito autoral" + +msgid "Fullscreen mode" +msgstr "Modo tela cheia" + +msgid "Open an issue" +msgstr "Abra um problema" + +msgid "previous page" +msgstr "página anterior" + +msgid "Download this page" +msgstr "Baixe esta página" + +msgid "Theme by the" +msgstr "Tema por" diff --git a/_static/locales/ro/LC_MESSAGES/booktheme.mo b/_static/locales/ro/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..3c36ab1df7c589ad82614599b8c91f072a25d4a6 GIT binary patch literal 1390 zcmZ{jxo;Ce6vhX_5zG}5ZUr$kT#~s&fgHI>97~Z1L||yB#=9@;f%VL44!~(cNeM!T zzkmW7Bt%b&NVHTGv{Xn`NHmD=truc}813$F=kWX9`}X<s<d&xb;}Gs?+#hit$NhK{ z9vI`Bg}^0t;IR$d1&)JL;0|yaJP4iy_k&Gv61)NK0SVj-hKi3sj`IZE4ZZ+(fiJ;* z;M<Dp)%vGu{sm;cA7Bj}8yo(956JUrkmH;J-+`Aw92H-|t>8CsJNO-Bou44rIk82E zW8ekwD0mG#0%~vyTm=t+&p?jz3S_U|fL!MXkn8*mPJmxQ*7*st&Nlprc^KsLXDc>A z&U>kv-vQZju7S_7m#oj;a^0f?p-U~+<-u`yunv38zH-h8DR$!Kd`AcS&)<;qgbk%n zVs?N_h8~GIYXX_z@lp(&&U!(#>;scql}cj+b*;T8mvv4X%iczp&|iz8r@bsxMq)nI z0il0S+cD35;)smw+mysr<%5hxssg3b8qA|fdg6M41IkG4eI&8uv_TLnms)LcbExO2 zuwDo22I6MX)8?U^<=i?w>XRs+vOBD)W3wzLY1Dn4sh}ZZ=wTRUXIW<`QaHM=ZLHEB z3GZW;5wavyf>i8XN<w`ht=}f+5v?JI`gPW?m&&!pg~j=e{fp-=)GA}^ok2kj8IZvF zB3IhX$fT#7r_j9BY1gl8oO8<fWped-lh{<7tRb&-b*NocCX4X3A)T!)<<Y6U-nOpq z8`2cz)Hg59$l+`Aw2>#8^5U79nrN}tCR1WA7O>Nc7D^1!X_=B#5k}&OPu5mlqSjw% ze9!ggnq18PeE0wD`{?}IYPqW%0!Wn*zA9eO0NP-Sd!P*Z&(5Mvp+E_$mG57h;3yNf z@}T<)Q9@L?UQv!@t~hzGN|ByUi8HjaaJHLM9|{Y76xA;^5T@*t78+y)y;r5zA;cW% z6j3gq1Ltf%1{N7Mh$B&^tz>kF94xj(C8Xe$PteOytPUysU!2AvEWuE6Fj7Z>o*_qS K1txIYaExD}s9q8P literal 0 HcmV?d00001 diff --git a/_static/locales/ro/LC_MESSAGES/booktheme.po b/_static/locales/ro/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..db865c8f --- /dev/null +++ b/_static/locales/ro/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ro\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "sugerează editare" + +msgid "Last updated on" +msgstr "Ultima actualizare la" + +msgid "Edit this page" +msgstr "Editați această pagină" + +msgid "Launch" +msgstr "Lansa" + +msgid "Print to PDF" +msgstr "Imprimați în PDF" + +msgid "open issue" +msgstr "problema deschisă" + +msgid "Download notebook file" +msgstr "Descărcați fișierul notebook" + +msgid "Toggle navigation" +msgstr "Comutare navigare" + +msgid "Source repository" +msgstr "Depozit sursă" + +msgid "By the" +msgstr "Langa" + +msgid "next page" +msgstr "pagina următoare" + +msgid "repository" +msgstr "repertoriu" + +msgid "Sphinx Book Theme" +msgstr "Tema Sphinx Book" + +msgid "Download source file" +msgstr "Descărcați fișierul sursă" + +msgid "Contents" +msgstr "Cuprins" + +msgid "By" +msgstr "De" + +msgid "Copyright" +msgstr "Drepturi de autor" + +msgid "Fullscreen mode" +msgstr "Modul ecran întreg" + +msgid "Open an issue" +msgstr "Deschideți o problemă" + +msgid "previous page" +msgstr "pagina anterioară" + +msgid "Download this page" +msgstr "Descarcă această pagină" + +msgid "Theme by the" +msgstr "Tema de" diff --git a/_static/locales/ru/LC_MESSAGES/booktheme.mo b/_static/locales/ru/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..6b8ca41f36ebf869818399a9584cdb15619bea78 GIT binary patch literal 1722 zcmZ{iPiz!b9LJx6N>>C0{~WCHj6uL;MNkv6buUP3NFY{Oy-#-^yQABg$;>R!8?=By zpk6eZkcjo>ZEd^jw#)9`jK?>LiHQeq#*-Is-2D7zrnWZnvTr^!zxmDY_x*j}{=RSL zmx}cqdz}3X`vCjaLtI$99#)E<8sqXP+zofZ{csG9!)M_u@M&0v```y~4>WKujB{Rv zQs)c!1iS-x!|&l!u$%MeJpNn${3n!t_hA9<*pYp|2g>s}lsboC555U^!oQ&C`x}bB zF@i6^7vWp*ZFm@l@KtyR9)~}{gYZ5)1P?rt)qfX0&vOMzodC-FMW|sH%3Qy~Bk&LS zGTh71lK%!g2;Ya|(?xg`eg?&InL*;Bbw69Q%iLQRlGKxI@mH42FH8IruciMpY+9?w z*>bj97p>AWd<<esdcNx996ud5jC#lSV&laTH^E%!)*G=p<zMugzEjhlADbE9|3sg6 zn`Sc{`K_>Owguyc8|lEQ8#P&TV@hv4PPLlNs2UpM=~=&K)EOs=bt|Yjv8id_<GJNk z8|uA)1jo~E6t#?+4qcBTzMeicrOsvjLKFCr8~fp$Iu|rt?~*<#+A0k*YgBsGGuccP zzg}+|?Kv0Rx)ZxJ@yw+-Q|C*ctVs}>3$EYFWp61Twd!?)O2Z^b@jo`zxOlo&{K$k6 z)k-?+UzGmEv~%I?>9doY?~lFqdLcKqSeXk<Nyi8{8Z;f(o6yyU6GkR3e^{9+p4iL_ z9WOd>!s4V?^=qzIFX<CAZd^Fyc=Z;(mUP%EOgCGh(=1N;;cQgWUXVUU<>M1NyDcB~ z^h;%Z?8rnx*}Ha_UXm-xW!tf<aNaK4p}nW<5?HkzUUY5S4s6eM6gSIc43o>r6}wJC zN81q@gr(9Fv3Bw)dp^0PldHtnY+u_Sxf$6W-wgO>O_L_|y0EwXD@jYPrM(BqO_Ddt zDEk#<R%pFI!5%U?I=M}!1ue2u6;w^GCkx7cE7Op^PFjywLj>lk9`p%b*uDr%Zu6PU zG_bh>@urJlTp^1w`f2$AR}2{1AJVy&({OH-XdNXBVw1Appn{Ug&D59FU~!E~qO?uY z2%}Tqa+P*D{a@R!x0@kSMzqWv;2@B-rtEiw@7eZ-vn#fz?Gn!QP_`~@{!JJr^D>2; zYX|@P$s&z$lLI4H4zg!gP;s5$q8v^-E0ZiHHwb^e&1~CN%&|G1oY;Q{yqk7f<t$gJ i@_-u2HL|jQS)ax?<i92s$tm_37xz<%dFX!*R{aB>cCfJk literal 0 HcmV?d00001 diff --git a/_static/locales/ru/LC_MESSAGES/booktheme.po b/_static/locales/ru/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..84ab6eb5 --- /dev/null +++ b/_static/locales/ru/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ru\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "предложить редактировать" + +msgid "Last updated on" +msgstr "Последнее обновление" + +msgid "Edit this page" +msgstr "Редактировать эту страницу" + +msgid "Launch" +msgstr "Запуск" + +msgid "Print to PDF" +msgstr "Распечатать в PDF" + +msgid "open issue" +msgstr "открытый вопрос" + +msgid "Download notebook file" +msgstr "Скачать файл записной книжки" + +msgid "Toggle navigation" +msgstr "Переключить навигацию" + +msgid "Source repository" +msgstr "Исходный репозиторий" + +msgid "By the" +msgstr "Посредством" + +msgid "next page" +msgstr "Следующая страница" + +msgid "repository" +msgstr "хранилище" + +msgid "Sphinx Book Theme" +msgstr "Тема книги Сфинкс" + +msgid "Download source file" +msgstr "Скачать исходный файл" + +msgid "Contents" +msgstr "Содержание" + +msgid "By" +msgstr "По" + +msgid "Copyright" +msgstr "авторское право" + +msgid "Fullscreen mode" +msgstr "Полноэкранный режим" + +msgid "Open an issue" +msgstr "Открыть вопрос" + +msgid "previous page" +msgstr "Предыдущая страница" + +msgid "Download this page" +msgstr "Загрузите эту страницу" + +msgid "Theme by the" +msgstr "Тема от" diff --git a/_static/locales/sk/LC_MESSAGES/booktheme.mo b/_static/locales/sk/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..59bd0ddfa341477cf5ccfdc88f4c3e6127046f7a GIT binary patch literal 1393 zcmZ9KKWrRD6vijSKyrit=ARHoJeoj?1A-``v#uc6mLesxmAg<-Am(<TcgMFkvznPb ze6A@dKxv?X>Iw==v><d6Y1T&cP*KoALq~(s@V(n5b~3uz-_7jo_kHi}{;|69mBM%t za}D!1%vUi#KZ6U#xkr@3Po2l*G4KL-4ty3o53YePfS17Mz&^MN-U2Uz3_b<MmY;&6 z^CkEs_zidgJOrNse`xtjyZ?K;{u30xf58rT_H6U~MNrmjpy<2~{s_JciqGFI{{bJx z`X2Z+cxDAPfUDpu;3e>7a08THd<;rm`=IpY4k&eh2g>u`gW~ryD0Tk|O5J~fa_(Nc zzXDUK|0PiBy9|o{Iw-jZpgi{xC@mLFS&OFRlMGV#=>h3w2I;R1(UBqg;w6239ut!4 z2~6=jJ)|#^@o`MFWBGp7wHbaCb5`#=8`;KyKjqAuERSl#ePRozQ?f4d$hk4?nu1TZ zgR6YP4{gTW1S)mLYBMzv(*G~Fs-g&qXSOtPDXSYgM5@YEM^4FEtSg)3YP-Y%ZOMdC zvD)#*Ld4O|#+Dj1ex6GgOmu#x24!ySK3$V+!<;9qmRA}zH4R;s6--u7O{SxPiRJy+ zq;ulan3SHU##L?XQ}Ut8GDb>9C5YnoIEmfsY4-#60ct&J{JY}cT{?GeUcb3{a{tPk zZ+F_pc89Z)dlV7it+LR@u2Yh0A2{}J54XBkPtJL5!!G;orcGRGY}TWzBNIC}w9P8? zwMSvx*(oZoi|&^5lh7kuE|;PI&N?-J`)^o!txs1juXogY6?)ZEJ1#xCtJU@>=)Bnr z<NA<FU(csn4WiMxHIXS8I&jBxRQ%vxiu&EO{)s}p7&-so-B>U1l0t--9arjh>CyA! zZ|R}^TYP-iOeo=k_sEUBK5*0V4ADZtsjcUv$Fb6dIjHA}(Ucy4hGb<GBDB<YoH~zy zrFWyEKAfmwp^v_xwD~wbZ1Wvby(k=P!q}-Hj%gZOlh0_di(cw>%cXdqT-thpkjw8w z94mEnM;EAFODWoF<;0UM`ZS%T+8S2)Skfe~=jnmos~5@rll9m4U7_dmM!H@|Co1(H Di}h+h literal 0 HcmV?d00001 diff --git a/_static/locales/sk/LC_MESSAGES/booktheme.po b/_static/locales/sk/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..e44878b5 --- /dev/null +++ b/_static/locales/sk/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: sk\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "navrhnúť úpravu" + +msgid "Last updated on" +msgstr "Posledná aktualizácia dňa" + +msgid "Edit this page" +msgstr "Upraviť túto stránku" + +msgid "Launch" +msgstr "Spustiť" + +msgid "Print to PDF" +msgstr "Tlač do PDF" + +msgid "open issue" +msgstr "otvorené vydanie" + +msgid "Download notebook file" +msgstr "Stiahnite si zošit" + +msgid "Toggle navigation" +msgstr "Prepnúť navigáciu" + +msgid "Source repository" +msgstr "Zdrojové úložisko" + +msgid "By the" +msgstr "Podľa" + +msgid "next page" +msgstr "ďalšia strana" + +msgid "repository" +msgstr "Úložisko" + +msgid "Sphinx Book Theme" +msgstr "Téma knihy Sfinga" + +msgid "Download source file" +msgstr "Stiahnite si zdrojový súbor" + +msgid "Contents" +msgstr "Obsah" + +msgid "By" +msgstr "Autor:" + +msgid "Copyright" +msgstr "Autorské práva" + +msgid "Fullscreen mode" +msgstr "Režim celej obrazovky" + +msgid "Open an issue" +msgstr "Otvorte problém" + +msgid "previous page" +msgstr "predchádzajúca strana" + +msgid "Download this page" +msgstr "Stiahnite si túto stránku" + +msgid "Theme by the" +msgstr "Téma od" diff --git a/_static/locales/sl/LC_MESSAGES/booktheme.mo b/_static/locales/sl/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..87bf26de683cb18c73bd23c2b4c57ef6a02545ec GIT binary patch literal 1374 zcmZ9KyKfXR5XQ}$9PjWFC=#aOAvj*5h%UN<M}i_=5d;c4-|evHTgP76-Xpn+f)YAt zpt_P83DF`Ei9Y}u3R-BW5Ct9I>@MVlwf1j4YtMW$vtK7Sz7QA(F{dy;VIIMJx(*A* z*7ZW*5ffN8gWJKa;9hV7oB|Jk$H0AH8=M61fIC3~cY(3y6OjEp2X}z4!0q5`a1Z#l z=EvIprQUx7Io@xu0dCk(-QNlFehOqi$H8~tMQ{`NqvlU=3--Uk-Qc>7LL34o!NcHb zkab@J`TGNq^T|Ly_ZVc|FG1Eh0$KkXa4+~C<olmN*73cz{{lJx35el)hd|z+0{Q+7 z$Z_UDE;-+2KWt;aTwBh2e86R?k?YHY^XI|-**E*$j|rDz8z%R5d~hDzL#_wPQTA6{ zUcn<{kHi&cBiR`6lCOB3_M*7z9$Dj5BCU(maW0b&wV^e0aE0&Ef5zC;LFOtYF`MWJ z*MGNjg)yP)iL6|535gpjL|NpCij+uau`g`5CvN9Bpsds(6eJeBws7L)!qqu(w~FT} zcR@$zSH#`Cr|q)5%-R-vv_zs@Wv9w%(WR*&Y1KfdDry9=v>YpSj^k88a!&*8idy!V z`%t7QK_wv*NO67Y#^!v|yiY#BTT52)n;gGcMsD1kzd5`1{rs78jk>VS#g&{|GD5)F z+$e2lWVfe$pxC~*IM<wBJLi=R56L%YZPz8*rY$+$(Xnwu*|b1iTQZo&f+@T*%{k|n zLQC4b+=ljr8CkuyPgr@hEzh5vX^2Y$)T&<Z2kL06gkoFBNah~J>2jgT5~@lP4MDpz zCx-(XW@_w<9uAzh?%#>APv}sH5H9X{E*5diD#H~rZm5EBHe?#D`0z|yaZ3$VV*3d1 zf=gV-^ojji64%jM<HYSG_v~hM6ww=#Ib4Z4SS<(TuP|Rr37JueULAdShSt-Pl9}!6 zl<LM*rZU%lnMh__&La4K=;}Uu4ThjZ)oLB$Lizw@Ssf`T<Q)5}qwy0)rOMPX@#`eK L??Y>WljW5^x#&@4 literal 0 HcmV?d00001 diff --git a/_static/locales/sl/LC_MESSAGES/booktheme.po b/_static/locales/sl/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..228939bc --- /dev/null +++ b/_static/locales/sl/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: sl\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "predlagajte urejanje" + +msgid "Last updated on" +msgstr "Nazadnje posodobljeno dne" + +msgid "Edit this page" +msgstr "Uredite to stran" + +msgid "Launch" +msgstr "Kosilo" + +msgid "Print to PDF" +msgstr "Natisni v PDF" + +msgid "open issue" +msgstr "odprto vprašanje" + +msgid "Download notebook file" +msgstr "Prenesite datoteko zvezka" + +msgid "Toggle navigation" +msgstr "Preklopi navigacijo" + +msgid "Source repository" +msgstr "Izvorno skladišče" + +msgid "By the" +msgstr "Avtor" + +msgid "next page" +msgstr "Naslednja stran" + +msgid "repository" +msgstr "odlagališče" + +msgid "Sphinx Book Theme" +msgstr "Tema knjige Sphinx" + +msgid "Download source file" +msgstr "Prenesite izvorno datoteko" + +msgid "Contents" +msgstr "Vsebina" + +msgid "By" +msgstr "Avtor" + +msgid "Copyright" +msgstr "avtorske pravice" + +msgid "Fullscreen mode" +msgstr "Celozaslonski način" + +msgid "Open an issue" +msgstr "Odprite številko" + +msgid "previous page" +msgstr "Prejšnja stran" + +msgid "Download this page" +msgstr "Prenesite to stran" + +msgid "Theme by the" +msgstr "Tema avtorja" diff --git a/_static/locales/sr/LC_MESSAGES/booktheme.mo b/_static/locales/sr/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..ec740f4852f3973fa72ed0c7f7cf59273b8dba41 GIT binary patch literal 1679 zcmZ{i&2Jk;7>5TMpf#n12FigTrXZCM$qB70R5|j2(nPA%iiifpt=iZVd#SU#+K<xQ z^1;`E141ndt<)0W!p%)>*9wix4UV%CCk|YD;tzleJn!xzyAg~$`^-$<dEejfo&0`i z?5bis%bZ~T%6x(O`9pjddmmPcpW4UgQMe!Oh2wA^oPdYnQTQ~h!b9*KcmNuB5XJ>R zf|BP7d;(sF`{57pDcCFcOL6{NvA++c-k-1p_w32<AAqu-fRg8B*oP;e<og4T!M~yC z8DsMt9EWefDL4ri;cM_JJPLn;FT(rqC0KeS_caNhXa6P?zZc*U7()%eg5viMJPv<` zQtvM)_YPxT@|}Rvr}vBfMJO#74{|QK$C=Vw@jW__q@HAo9~t6bhWM4*(${C0lvIy1 z<!wg?rLs4C4APeDebuRDemZU%^_K6&#)~5s!E)#}nz1_Vf9SP*r>;FeHVeLgQ7^hJ zGdzy`B&?ZThjG)5bl^0MnyI@nssG*1CaqRf3ytygl3zFKtP{mL3F=O4>e~0%Ctj_o z-VO+GJncqNV$@vddL;4n-04|$KCc&=z>nP650};Xpy_&-^(oOd-!w}`WnaCJdz$wf zjh4}#bIENuu}cxpT#j>fzSPN!1fjX)`bi;sBz=@L8U~dHCrI%>FtxaRre1!}gb~>) zI<H@r`sJ*0>D-xfGsC|hn|!@gG`2jy9GHrZ5ik|B9M_xHwWbqBCa%6aKU+RIj0+tv zS~OvK#;f^t*K1Vt$ptqqoproMLSHL73QKdXBy?KkSwCEgD%uOOZB#uzt@CB|6;B_j z>SM1?mz2F>J33uW*U}Z+wmY_)ohZA>uESZ+w$lw|zev~9H9JUG(p9@{2io4t;<xNT z*_$l8>AJmR@7g|5U2Qwul5jS5J6+fI7K<O5JxcV`Po&HP*R<_(pLFEfkqf&r><Z7T z4D1%6BjU-Nt}FYU2qHrv=KsRJ$@KK?T`hu;H?X%gi*2q;E7}xA&}t^UlU@^JZQG+0 zE2Jhyj+DJF!9<N5-9TUNrH~-z#8Gx(gW!9FuWB)R(_XRPE4wkYPkSYT3f-)upNU&# zzs<I7jlOGi>$b?*B<y20J9e7@mU4shTeeRdi2NG0pW42jqQN8`9*93QN}e|M`{{;s zZZr4FbK+{Wv-Cn<GdI=cGXDY(n95&s4G9CBl6>^Gym(vvm#N%kCu@EWomq3c>6awm HD*E*gL}ZXP literal 0 HcmV?d00001 diff --git a/_static/locales/sr/LC_MESSAGES/booktheme.po b/_static/locales/sr/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..1a712a18 --- /dev/null +++ b/_static/locales/sr/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: sr\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "предложи уређивање" + +msgid "Last updated on" +msgstr "Последње ажурирање" + +msgid "Edit this page" +msgstr "Уредите ову страницу" + +msgid "Launch" +msgstr "Лансирање" + +msgid "Print to PDF" +msgstr "Испис у ПДФ" + +msgid "open issue" +msgstr "отворено издање" + +msgid "Download notebook file" +msgstr "Преузмите датотеку бележнице" + +msgid "Toggle navigation" +msgstr "Укључи / искључи навигацију" + +msgid "Source repository" +msgstr "Изворно спремиште" + +msgid "By the" +msgstr "Од" + +msgid "next page" +msgstr "Следећа страна" + +msgid "repository" +msgstr "спремиште" + +msgid "Sphinx Book Theme" +msgstr "Тема књиге Спхинк" + +msgid "Download source file" +msgstr "Преузми изворну датотеку" + +msgid "Contents" +msgstr "Садржај" + +msgid "By" +msgstr "Од стране" + +msgid "Copyright" +msgstr "Ауторско право" + +msgid "Fullscreen mode" +msgstr "Режим целог екрана" + +msgid "Open an issue" +msgstr "Отворите издање" + +msgid "previous page" +msgstr "Претходна страница" + +msgid "Download this page" +msgstr "Преузмите ову страницу" + +msgid "Theme by the" +msgstr "Тхеме би" diff --git a/_static/locales/sv/LC_MESSAGES/booktheme.mo b/_static/locales/sv/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..be951bec201ccd86d534499749af1df8938a14e3 GIT binary patch literal 1349 zcmZ9KF>Dk^6ow}lVsj7(m^c(h3{4=#1{0;Q&N?YF_DNQZu<*qa<=pM_?&RiXHZ!vq zyG4|gNfap!#koiw$x6S9lsZb4B2p?uK}P|i;eWel+45*-zMVHS@BQ=U{de{3PXg^z z^hNZ4&~KtY`v3#l+!-P8iSrmf1TTVf;5>L9Tm%=u&%kS72fPYC0xy9CUIycoPeJzc zBlr>cD|iw74ZH##PWji={_k}D0_1pa!4^0()11Eq@_Z3wKexd@z^_1#^9sZ#USr_% zZ$RF6=ByAmz{?=(O~C8m*C6NOG59g~J@^Uu1e^tb0eSy(koEo!vcEq;zVF{4@B4qc z{t~=^`Mc@*?78OL0?7OBfSk7_kW<dS*gxCm(K)xQ`(%TwS{ujX#`ovOdN|jdSJn)d zb!@)R$;Nr%H{|%78>Cc-)qQ+2<|OVr8_C9ipJLzZERSN%{a}q#skAOq-?^dO)rOAE z!IgeMr;IVzK^7__v7YJ(*GJQCX-pV+A}dEOC9$bOlx2~sNU3xd^U@A-@vy)KWu*?G zB(deSg%c;Y*1BT5iRY<sK}YBJ#deWvyC+v!TQ8>(iF%a%=1x7AWrn0xW1Xp}5yaA7 zY}7f9(*!9zjkPPMvQM}VWtI_C5^e%1?mHU9WFt*>$Om|9%O-xp@sm1o>%qo@_2cz> zUo5qziA{R@1+`^_fV+iJ+OEh!u6&@_`L@?hmXG&&Wy3D{WZe#2s%_Sm%Y7YNo62S- z^4gYR+}bjwS0?E?KMHMWi+UP5U#`gJw{yqJTOE1t^Oct9R)@Z?#g0zJhP9Me2gZo9 zC~`LrzM8~{)TgPEmOK(4X)v^i8v1U?&&>~Wv^uON#=v;Olp>3HHSsd&R9W!|smjPJ zdCFctK8{1KsU|3nZL-b#*9G8FWH<r8HsG|Vel7~DBt<-ycYQ-6u|4#9EK3xFHl{9z zZ)!ET+*tXeN`UA{BPDtmq#BEzYO-f=HLd_cEoH)1lMq!cS5${ZLB}C>;fu2BfNV<5 S2DY&GdIic4q;D?Bp56m!5lvG7 literal 0 HcmV?d00001 diff --git a/_static/locales/sv/LC_MESSAGES/booktheme.po b/_static/locales/sv/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..7d2b56d9 --- /dev/null +++ b/_static/locales/sv/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: sv\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "föreslå redigering" + +msgid "Last updated on" +msgstr "Senast uppdaterad den" + +msgid "Edit this page" +msgstr "Redigera den här sidan" + +msgid "Launch" +msgstr "Lansera" + +msgid "Print to PDF" +msgstr "Skriv ut till PDF" + +msgid "open issue" +msgstr "öppet problem" + +msgid "Download notebook file" +msgstr "Ladda ner anteckningsbokfilen" + +msgid "Toggle navigation" +msgstr "Växla navigering" + +msgid "Source repository" +msgstr "Källförvar" + +msgid "By the" +msgstr "Vid" + +msgid "next page" +msgstr "nästa sida" + +msgid "repository" +msgstr "förvar" + +msgid "Sphinx Book Theme" +msgstr "Sphinx boktema" + +msgid "Download source file" +msgstr "Ladda ner källfil" + +msgid "Contents" +msgstr "Innehåll" + +msgid "By" +msgstr "Förbi" + +msgid "Copyright" +msgstr "upphovsrätt" + +msgid "Fullscreen mode" +msgstr "Fullskärmsläge" + +msgid "Open an issue" +msgstr "Öppna ett problem" + +msgid "previous page" +msgstr "föregående sida" + +msgid "Download this page" +msgstr "Ladda ner den här sidan" + +msgid "Theme by the" +msgstr "Tema av" diff --git a/_static/locales/ta/LC_MESSAGES/booktheme.mo b/_static/locales/ta/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..29f52e1f6f1ec96aceb0f883d8ccc82c23eb35c2 GIT binary patch literal 1928 zcmbW0%ZnUE9LGzIuko2E;=xEoRN`S0qn9x23T7V=+2G=?qL54POr@uFQq^?#B-xX0 zK#htA4<qQoTyj`*=-sR?<lqZDdWqmc2uLG%@GtP<!OyR%r*{%mh{a5Qs;YmF@9$UD zzwX&JQj7=rKf?cO{(Jc!zljIq3cMNq1aE^s!#m+s_z?UZitk@=58RFMz3_2(AAA;y z-weD5z6kGzufg5W)I449zhAFEfs$t(w%`^N|8Jo9{|GO`U*Mzg<6A<$O}LNs_waT2 z8=QsD?F#EPxWxJ@d>J0RHRwJIJFG|WNq7Z50sn;0!@U&o7(5PV;9F4M{{RobKj41& z@a;;?!xtbeX@>OX{(5y6M3y47A9wJS8l@l7I~meb8I-3U@UzelnM(bH_d|LjeI~u4 zB&Ck5^3z4%s2P{8W=Y&H)T}#g2QKPq>k6~t+?)DDGB7*axf^C(bKPdqPja0`u~Boq zq#)vWxe(=r9;UshFg@+8T8M_W+gC58#_GuGB+rLNEoO<u$?3(}d9@VcXC`%dQn+kY zEv5a$p3z4{%W~hGG|E5qN|3(n;&@=RjZP(TR3s#^=1dXPILQ-|q?tLDxM3|bAI7mk znn5o4-5aJ`w2$`MubM0;L`R3DZAsep=~~B*9-G^Ff9Sx|tr=$vV~h6kYHB*VAnU<& z5G8g>cl%M6n_~Kv<@xsE9lI>D`3aM?=WN&Y5*v5);gzIlEkrgR(mY~Bt;NAGiw5m^ zmz~Tz+NOS)Pd_uI!*qJT)%&LPp{J%=sw%gu@~f)+wA%QnDo0iMT~%)Q%}sWAT~-@s zt8&XvWPPzJFL<kq-h<~_Rc`tnOwVDlUTu6>mFFj3kC<zTE-xCtb79VlCMH_Qf61E$ zIom!yktekLzfhucguM5>LZVZKXbJg6qObpgpYXhKc{dPQvXD4*l1`&-oR|ZVWnD5S zLMPGk+4yL_MW)wWJ7GI+sWh)Cq}dE7ao%TGqX8uPK%$P%oUIVNaozG6uhIA~XTs-( z77E8j3VKIkNhd=@QrBItuMs9x^kr3kK4HautE;{2cexG}GQN=#P4;o6q{&7}8xZ++ z<IeTD{wn{o3E`3Xu9rO-Q3}Un-3tg^D65i=U-H6uN&_h}6jmP@9!PGwSJx8GmcH>l w$ZZQ&WaeX;?9mtGBq&}escqTfGyJc(*W8(47(T)#0?{xcP9tpFr||Or2L57y?*IS* literal 0 HcmV?d00001 diff --git a/_static/locales/ta/LC_MESSAGES/booktheme.po b/_static/locales/ta/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..c75ffe19 --- /dev/null +++ b/_static/locales/ta/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ta\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "திருத்த பரிந்துரைக்கவும்" + +msgid "Last updated on" +msgstr "கடைசியாக புதுப்பிக்கப்பட்டது" + +msgid "Edit this page" +msgstr "இந்தப் பக்கத்தைத் திருத்தவும்" + +msgid "Launch" +msgstr "தொடங்க" + +msgid "Print to PDF" +msgstr "PDF இல் அச்சிடுக" + +msgid "open issue" +msgstr "திறந்த பிரச்சினை" + +msgid "Download notebook file" +msgstr "நோட்புக் கோப்பைப் பதிவிறக்கவும்" + +msgid "Toggle navigation" +msgstr "வழிசெலுத்தலை நிலைமாற்று" + +msgid "Source repository" +msgstr "மூல களஞ்சியம்" + +msgid "By the" +msgstr "மூலம்" + +msgid "next page" +msgstr "அடுத்த பக்கம்" + +msgid "Sphinx Book Theme" +msgstr "ஸ்பிங்க்ஸ் புத்தக தீம்" + +msgid "Download source file" +msgstr "மூல கோப்பைப் பதிவிறக்குக" + +msgid "By" +msgstr "வழங்கியவர்" + +msgid "Copyright" +msgstr "பதிப்புரிமை" + +msgid "Open an issue" +msgstr "சிக்கலைத் திறக்கவும்" + +msgid "previous page" +msgstr "முந்தைய பக்கம்" + +msgid "Download this page" +msgstr "இந்தப் பக்கத்தைப் பதிவிறக்கவும்" + +msgid "Theme by the" +msgstr "வழங்கிய தீம்" diff --git a/_static/locales/te/LC_MESSAGES/booktheme.mo b/_static/locales/te/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..0a5f4b46adfda1551ae6791c3c3782525b61be04 GIT binary patch literal 1806 zcmbu8?`s@I7{^DgzpiR+74e1QD2kPOYU&G1LO_}((2{DPsaEjK=5D&TdYxHz_mbva zT2L$M3z1kXg(AcfwAS4~Neb5f0lujqQV?VieD5FN3qLcn=UrpK7cRH^*?DH3U*CQ1 zw_V$o1=qvek8yv`{W$mAxAEY*0dI#t!Motk@Lu>Ud<6aho$p_87u?C=2jJ6i2YeYi zzX^ChJOuB9$KXz=YA)3F59{^k(B)Z$4Y&rK|263Re}o(GCUki}y(4f1KFWF>z6o!@ z*Wm7LLQKL1xEEf7ufjj!vvA~2A@;zx;Pdc3_zYZw?)**o1l&$Dhu|Lg6r6|7{snaU zU4^f}Um%kFbGaHHtXJD1WeGz1>mHu2N2iC=&RtGZchR1B$iD?W+^g&V?%L)waXOPu z(25ZI7x~Geqr`+s7qcYp6yktc&|MR?r8b3{Gv-}+Jn5=|IXAtmr8XIhPLj(sij|mb zCj}Av%jqaDWG`(;g=$Nq#dOrut&Vs-Ra!<`CVAddVkS#8PDaigm=Z@q{7j`LPYRPQ ziX&+!(I@48SIcZiolwF*<y<Iz*2HmFNgd56aa1HE(duLosxdB4NRno1J~6$z%)A%J ziqaJ2lHa_eT1E3<yZMI7azc#CkhJNNHhsFr;e&@K2m2#0ywsR5x=^}k&Mu~ER2F1? zG3`c)9+Rz3l;x@zKRP?r+&4IvMLIvOvgV|2nRcS%QMqp}DH_v}j(dpbVl-yDy)5cB zr%ZMtAC)@w%Y1zAm<+GuyS03BT#h_9))2P5Xsb_bdBv7L*s|ogwQ1S!e{HKJcd9yL z%M18%cGXrNg@r9I+3J)nm)VfE{KlVJ^U*nU3e%Ui`q+DrkPZB>xU=VM^?@zFv*l@L zDz6jwvaMLG-4f{crQm*REN}g<aAyca^<+8kdsrn4ra?vjC(4G`5Am-14$ckt!2&Dt zhV8THNM6!k@pYi<u-~Q7zYlOR2tn1z<-Ux6BFeX0CZdSTw%qWiQL>hN#a8coKPu>p z%YTFt$m|qAXTDh&g5gT~hljsJ*ry=A+<9Nb1sA(o5-xGw{Z;?6OlS@gI#jemLQG%z zrpf6>XY=H3-bW;Qrf>v2>%ZN4n4aM|U<|2-ZBn^mBghuhM0)Dv2+@ei()B(V2&(za uuMrF7ToguSy%w`N&3+IHSt#2LVBfiP)B5iT;9Jx)h5&elIS4O(ZT|-CPABOA literal 0 HcmV?d00001 diff --git a/_static/locales/te/LC_MESSAGES/booktheme.po b/_static/locales/te/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..2595c035 --- /dev/null +++ b/_static/locales/te/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: te\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "సవరించమని సూచించండి" + +msgid "Last updated on" +msgstr "చివరిగా నవీకరించబడింది" + +msgid "Edit this page" +msgstr "ఈ పేజీని సవరించండి" + +msgid "Launch" +msgstr "ప్రారంభించండి" + +msgid "Print to PDF" +msgstr "PDF కి ముద్రించండి" + +msgid "open issue" +msgstr "ఓపెన్ ఇష్యూ" + +msgid "Download notebook file" +msgstr "నోట్బుక్ ఫైల్ను డౌన్లోడ్ చేయండి" + +msgid "Toggle navigation" +msgstr "నావిగేషన్‌ను టోగుల్ చేయండి" + +msgid "Source repository" +msgstr "మూల రిపోజిటరీ" + +msgid "By the" +msgstr "ద్వారా" + +msgid "next page" +msgstr "తరువాతి పేజీ" + +msgid "Sphinx Book Theme" +msgstr "సింహిక పుస్తక థీమ్" + +msgid "Download source file" +msgstr "మూల ఫైల్‌ను డౌన్‌లోడ్ చేయండి" + +msgid "By" +msgstr "ద్వారా" + +msgid "Copyright" +msgstr "కాపీరైట్" + +msgid "Open an issue" +msgstr "సమస్యను తెరవండి" + +msgid "previous page" +msgstr "ముందు పేజి" + +msgid "Download this page" +msgstr "ఈ పేజీని డౌన్‌లోడ్ చేయండి" + +msgid "Theme by the" +msgstr "ద్వారా థీమ్" diff --git a/_static/locales/tg/LC_MESSAGES/booktheme.mo b/_static/locales/tg/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..b21c6c6340194fdf35f7e5660deb42479c8dbff9 GIT binary patch literal 1628 zcmaiyO^6gn6vxZY=tNE8S5Q|hA#9RE$8XSGCI@vF1jR*HLCB?drtIlBTh(+|t9#pZ z_b^Dr#19Y@K@`-J?Yg?{x;qOwd8{6D@{o&%oP^*d<PgaJRk!RYqBT?Xt5+ZI{okwp zbLGOT4DD<54)j0JH=+MB4+Gkg`HbPumSR{8E(4c<tH7mT2e=mO1XqJ)a3y#ITmcI3 z3s4sv1If=7a5;D#Tn63;zXG2Wd|s@-EbPBPiuW&A0v9aE@2>#K?f}Wpw_pnH1Q&v@ z3%&tK*FWF}u!PNBU}wRfz%8&Zfe!dP_zn0sxE@@yD9?K<NcGtRQeG#(b)XN@`B88c zcn|CZr;GhpAjSQ!u-Bmoq<aUr5&RLPl2Z<(lWIwRsJ4`MdxIqQB|6oY8u_6{^&?GG z*EQ$}#Xd);w{33-W#8~K5aqD%%k~c8&vi|(eM)K}b%aSU6#8CGv;FFftSh(5rP5+R zsZ;!<Ul()Bk&45LcyCeH{D=pxCs<F_*KqyT?2YU7s1gbx`Jk!_cF>J9kAteKMU^WF zJC>CiI~?GEE4d#<v0#0nFX2S-zWu%IXdW*Vfr@;s!Xb7vsQL0N-%Hy1Yhq9^JMw`% zr+(#mb-|^3+V@=TBZw4db*@fPoIFSniqpP|3)yY%quBEVR0?DQDe7lY(awRYb6kWG zymj$BzC-aH8@Y7oz@eVG{cS&NEfs}z`iBD1#We(M3F@vdyLqMNhLO<aWBt9(?zwZJ zE2EPlbb4e(RekAo@!bQyE**5G7o)E5;g$O8ap=~aUKI{TU0ep%jLO@)c|I+FC;8?w z-}ZfXiJ9L_vlwn<qh`iTm?RrEX=~CXtTmpEwysk*DL2#DPs}s?(rk>GJ20M-!R?)~ z>>S<1-6l7a<}oHySZKVs&CQhc{Mbyqb88w7X3RqzI{&F#*USvhMoiLrM6s>Hk4E|6 zc@o%qM9F2t?V4KSrinZf?58}t0JXzb84{b#Mr}$-{y{=+V#Xn)X(lNzTPtR6wl32O zGdJL5Bs-5o<jz(Csb>xB+T`zIGRrAt`^lPLZT?M?g!0angPB{%GR5vxHp0oR8Arqi zbZiRp&%w__8!lf*NbDpe;WA2%r?Xi$atSF8VXr;q_FB@_W_A(5kPfr&0p+;^8?eY= pg1vVOUqyoB&tBYSn9xh&7BjPW`v%MukJU629MMs5Ow+8v{s(GpYQg{j literal 0 HcmV?d00001 diff --git a/_static/locales/tg/LC_MESSAGES/booktheme.po b/_static/locales/tg/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..73cd30ea --- /dev/null +++ b/_static/locales/tg/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: tg\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "пешниҳод вироиш" + +msgid "Last updated on" +msgstr "Last навсозӣ дар" + +msgid "Edit this page" +msgstr "Ин саҳифаро таҳрир кунед" + +msgid "Launch" +msgstr "Оғоз" + +msgid "Print to PDF" +msgstr "Чоп ба PDF" + +msgid "open issue" +msgstr "барориши кушод" + +msgid "Download notebook file" +msgstr "Файли дафтарро зеркашӣ кунед" + +msgid "Toggle navigation" +msgstr "Гузаришро иваз кунед" + +msgid "Source repository" +msgstr "Анбори манбаъ" + +msgid "By the" +msgstr "Бо" + +msgid "next page" +msgstr "саҳифаи оянда" + +msgid "repository" +msgstr "анбор" + +msgid "Sphinx Book Theme" +msgstr "Сфинкс Мавзӯи китоб" + +msgid "Download source file" +msgstr "Файли манбаъро зеркашӣ кунед" + +msgid "Contents" +msgstr "Мундариҷа" + +msgid "By" +msgstr "Бо" + +msgid "Copyright" +msgstr "Ҳуқуқи муаллиф" + +msgid "Fullscreen mode" +msgstr "Ҳолати экрани пурра" + +msgid "Open an issue" +msgstr "Масъаларо кушоед" + +msgid "previous page" +msgstr "саҳифаи қаблӣ" + +msgid "Download this page" +msgstr "Ин саҳифаро зеркашӣ кунед" + +msgid "Theme by the" +msgstr "Мавзӯъи аз" diff --git a/_static/locales/th/LC_MESSAGES/booktheme.mo b/_static/locales/th/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..abede98aa11b163e580a26b545980ace31e61ccf GIT binary patch literal 1766 zcma)*-)|K~6vqcarB^@&)CU_K663GrYB9uM>wQ7mgal$EMW46#4trN`XEwWgD~&H; 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charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: th\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "แนะนำแก้ไข" + +msgid "Last updated on" +msgstr "ปรับปรุงล่าสุดเมื่อ" + +msgid "Edit this page" +msgstr "แก้ไขหน้านี้" + +msgid "Launch" +msgstr "เปิด" + +msgid "Print to PDF" +msgstr "พิมพ์เป็น PDF" + +msgid "open issue" +msgstr "เปิดปัญหา" + +msgid "Download notebook file" +msgstr "ดาวน์โหลดไฟล์สมุดบันทึก" + +msgid "Toggle navigation" +msgstr "ไม่ต้องสลับช่องทาง" + +msgid "Source repository" +msgstr "ที่เก็บซอร์ส" + +msgid "By the" +msgstr "โดย" + +msgid "next page" +msgstr "หน้าต่อไป" + +msgid "repository" +msgstr "ที่เก็บ" + +msgid "Sphinx Book Theme" +msgstr "ธีมหนังสือสฟิงซ์" + +msgid "Download source file" +msgstr "ดาวน์โหลดไฟล์ต้นฉบับ" + +msgid "Contents" +msgstr "สารบัญ" + +msgid "By" +msgstr "โดย" + +msgid "Copyright" +msgstr "ลิขสิทธิ์" + +msgid "Fullscreen mode" +msgstr "โหมดเต็มหน้าจอ" + +msgid "Open an issue" +msgstr "เปิดปัญหา" + +msgid "previous page" +msgstr "หน้าที่แล้ว" + +msgid "Download this page" +msgstr "ดาวน์โหลดหน้านี้" + +msgid "Theme by the" +msgstr "ธีมโดย" diff --git a/_static/locales/tl/LC_MESSAGES/booktheme.mo b/_static/locales/tl/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..8df1b73310e0c606251d1abff7e6033d1f6b273f GIT binary patch literal 1273 zcmZ{iJ#P~+7{?8ixA4}MHz7bWh@lJz6qYJggw!_(YD=U9)PcpxxsJ)jKAr8h8TbH< zl>mt^fEW=h3@|dWP{DwN#01}fk%9knmnKyup2YV%`|Ricw;%r;A9>CYr_e5-eL%a2 z_Gk|th%ew?a0@&DeghAKKfp8KZ;;mh1;@cLOg;`?0Z)LpKw38o9s}=zN5K_v43vGY z_s5_1`!7J!c@37pw;-+m2-5n`;Ct{ph(FuhSLAyJ(z;h52j75~!7cDS_y;@-j*b-m zC%}W~-v&p)J0SUA0Z)SpJPAGlY2GGy4txoc|92qy`UKMYuOOYrFAzsE2s#`3PH_Yc zHrRgZAP%9?9w{GbQ&0{H+8gOp(7q^W|Kx>&wCSAbj3LR`Ob>tV+mg-Nw3lhs_H53s zo5YHk8|!7$+74gUi5w0)8?u(%HR#*g@l+_u=40)Val5-HoaZ5pg_kk6hAoO<T5Wbe zm4*w$wR1tTTBZ#aSzeo4VD%z@CR6LQw^@(X)3!Dne1^O<+OjKI{^ZTVdc!J}NN&WM zR>EtD7`fpKH<ok?ku;NQ+J?SO7nG8)CSe!)_OWdFs2WEPW#*8g%nQ+oM5A1;v{YT1 zAAX;_cB3?FjhDtpjb19t+(Y$xnh0&Cd8;ilCw=8XV<DOv&dY>xt1^q`P0PmGs4|~w zYF}CuMg<%mawMf%5;BoQ3pVSzGB;`7b(Ndbym+ll7=Ee3C$CPI*s^AIft_~oQ`+M| zjoMMlC845tP)?QC3^N9mW&fLyY9mxPB*L)jFaumd3$>sZlm_4E_)y1P<99=X&7mSu zQF#bj7^^11I1!U-GjxO_E86t}@}&6<a3a3}wSjs*quUf67-`6^p#F~AuswzZzPJR1 s6&3X_gJkvKg0Z;FbWCKO^`%82y^P$M818`St~Q|?jOt)I*ZB_FKRsDD>i_@% literal 0 HcmV?d00001 diff --git a/_static/locales/tl/LC_MESSAGES/booktheme.po b/_static/locales/tl/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..c8375b54 --- /dev/null +++ b/_static/locales/tl/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: tl\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "iminumungkahi i-edit" + +msgid "Last updated on" +msgstr "Huling na-update noong" + +msgid "Edit this page" +msgstr "I-edit ang pahinang ito" + +msgid "Launch" +msgstr "Ilunsad" + +msgid "Print to PDF" +msgstr "I-print sa PDF" + +msgid "open issue" +msgstr "bukas na isyu" + +msgid "Download notebook file" +msgstr "Mag-download ng file ng notebook" + +msgid "Toggle navigation" +msgstr "I-toggle ang pag-navigate" + +msgid "Source repository" +msgstr "Pinagmulan ng imbakan" + +msgid "By the" +msgstr "Sa pamamagitan ng" + +msgid "next page" +msgstr "Susunod na pahina" + +msgid "Sphinx Book Theme" +msgstr "Tema ng Sphinx Book" + +msgid "Download source file" +msgstr "Mag-download ng file ng pinagmulan" + +msgid "By" +msgstr "Ni" + +msgid "Copyright" +msgstr "Copyright" + +msgid "Open an issue" +msgstr "Magbukas ng isyu" + +msgid "previous page" +msgstr "Nakaraang pahina" + +msgid "Download this page" +msgstr "I-download ang pahinang ito" + +msgid "Theme by the" +msgstr "Tema ng" diff --git a/_static/locales/tr/LC_MESSAGES/booktheme.mo b/_static/locales/tr/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..029ae18afb5360a8c238a052e8d3971761759d3d GIT binary patch literal 1373 zcmZ{izi%8x6vqdWKynFz!~~?sQXUOIiX{o62)3@sVLOWA2n!$d<J)(;liizH&CG_Z zMVT%slPZNJnur1kHxWf7in~bEh>C&=i7J19yL{j6T0W2%?d)gY?96-L@67yl{`g~s z_CESD`XA_*&>y~r7uw0!mBOP=;q?Z120RHafv3P_@ICND@LjMEo(I1M&w>oT4aSc5 zLCNz7d<%R6o&kRZ&w<Z6{??8E*~R~WQttrlfya)u>(7D`FN2cjBk&jSbMQ3yvf}|L z^-dgb=PiL35fdohSHUH48x$WIDEhw##oq%^>ihtT&YwW>`D+*d4$8W}!FRxeF7BOZ z>s|syPtwI-fS96gfHHp*lr0wzl2>wx9;q$97n`h;HKI?N=#nP7WUs~N1$3mG*A#z? zP4-{T@J)1V%lv%Rpus~iXZ5ACk!=k4s2XpwJgPPKoh_YC$-2lp&J{E^B_9n3SNjqF zXE5d_P^B|g>#2!IeHd=kWf?}E+0w+NtTuIsR9C5voRYJMYdgx-R~05`OD2Sx)s{CF zNgQphZK&<Gp6AL16P<6=c9k1@j|QS`nDd0y{7pNpr=iQTlF913CezWNh~;~+Rp+Em zTcq-Q*SNZqy^ucCS;kPwZ~`gr4v%7TGflo_ACPT@+WLvqPv(_-w{PBFKl*?5(<{Ah zW0PT1@d`x<xLlRm*i{<k+6RvPZ-yJmwWE1n+c0LItlN=Gjm=i*+K!36O>MIp`-&XC zw^i0&m&u0nldwXznunqP*($Z4{f{ku(5I`PtoGDUdp(}*+f>_seb0WLJ~cMw0*C6= zkV`YBTo=V`U#;;tvZvIAMh7gN?Gt7i9EQ538>@@<SF<oas43`Xtp9H;oj%`Xi|aGg z6XF6U<r>sDR7=_PxgBv?;s7aXZ*rps`o&(U<3tx~U_1rqYg?0^K7|^E%RsJ#t%4f8 zo6h$Ap{&BCl*;`;;xXGI&@B^nMMIv5kwyPFiiuV?c-PnoHwMdQd*;PnG+qT~k=xL= f7*f}zXhDUuwVFPIQ2d!&RZ>YE8iRKH#ZJBgJpfrQ literal 0 HcmV?d00001 diff --git a/_static/locales/tr/LC_MESSAGES/booktheme.po b/_static/locales/tr/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..47d7bdf7 --- /dev/null +++ b/_static/locales/tr/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: tr\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "düzenleme öner" + +msgid "Last updated on" +msgstr "Son güncelleme tarihi" + +msgid "Edit this page" +msgstr "Bu sayfayı düzenle" + +msgid "Launch" +msgstr "Başlatmak" + +msgid "Print to PDF" +msgstr "PDF olarak yazdır" + +msgid "open issue" +msgstr "Açık konu" + +msgid "Download notebook file" +msgstr "Defter dosyasını indirin" + +msgid "Toggle navigation" +msgstr "Gezinmeyi değiştir" + +msgid "Source repository" +msgstr "Kaynak kod deposu" + +msgid "By the" +msgstr "Tarafından" + +msgid "next page" +msgstr "sonraki Sayfa" + +msgid "repository" +msgstr "depo" + +msgid "Sphinx Book Theme" +msgstr "Sfenks Kitap Teması" + +msgid "Download source file" +msgstr "Kaynak dosyayı indirin" + +msgid "Contents" +msgstr "İçindekiler" + +msgid "By" +msgstr "Tarafından" + +msgid "Copyright" +msgstr "Telif hakkı" + +msgid "Fullscreen mode" +msgstr "Tam ekran modu" + +msgid "Open an issue" +msgstr "Bir sorunu açın" + +msgid "previous page" +msgstr "önceki sayfa" + +msgid "Download this page" +msgstr "Bu sayfayı indirin" + +msgid "Theme by the" +msgstr "Tarafından tema" diff --git a/_static/locales/uk/LC_MESSAGES/booktheme.mo b/_static/locales/uk/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..16ab78909cfbaba7fa199f47fdfc2934426ac699 GIT binary patch literal 1681 zcmZvaO>7%Q6vv0QKx#^WmXAw-X;52=<n%)vDo4JQCQ_wVL}|)>V^7yhotb5Kwlue- zPJ@uD1fdWPh|e20*TKPc;zZ)a@r}d@A+B8DUJjM|f4dvvq>McK+j;xuef*#QJbLI0 zf%O{p5cY4_Z(`qj3J<J-147^@4&(6*cmx~(kAa85A@Ei3B=|B|29JW1;2@~L7eJeH z0pvI<;Pc>D;1Tdg@Fj3P=dZc__x$`9$oc*S3*f<n+5JI~&qE-`IR$pWcXRtc;31qJ z=I2M?>o^a<I0Bvo&w|&%cfiG*_rVi5{{aqz2cFL2p8#2(^WYocB*^hT0@-gF<bGS= zY48{DIQTcn_Xg4YTi^)D`b>gnKo4Zexd+ydwLFH++H&9h3nhscvH3nP?w=Ry$GKV8 zSFn*%JcrG*?O#Zh&hS|fa-{PW7iaO4wx+~;Mq8zAjF)gW3jCTCm(0hyZoI10#;R#! zZps@$UG17<lSCD@&uD8wEJM#%Vyqfigx)!hC-r(<iImcE##EKK;>A`bVb!y$DvicD z(UqEbKZJv)We~@S5))CN5yZ%eOXK2NmM>DFi34k*S#d3_1^TwU$hA$?)Ql48Q%+|+ zO&Q;>E2+I(f$!M>Nwm6cv+4}z$&!STx)qotFS{>%ocO*%l?t7p6!W2~*y81C@dFjb zh*pwW{vziurkM*@FJB$o{eEubY#|r6I5iuplC&t`Oj!2<Jt`|TFN&2dU!NK;UfA`E zJRRRqQE^OHOf}GcNnV%^Y~hNh{RFy}WOB1GQBNYTUK}^kOk9#WOpkH-{HV-c%WrFW zye!Y19xVv^j9TsvZMiu?-_n+#FKN@Qx_Nh}?-P#qs7q~0+is4U)XE(BrAa+pZ_+xR zZRr;9`hYeh-KP!O!kr#M<2%RQ<4zrzI}#B(?yg&<pWxY{2meKQ;zAaG(Je_Xjtj=E z9(7$q(09~EfF`ZE2A7mZcK`2+9^rzjaHX3z)7!~B2h%!=*c9|lnghL|yA=s%zR*HT z?bNhf%F5ez4L46+L7%4`a6I&oR?3Y*t^E56s%=nLx&}9h+G&%^bgSuKmsXIs4P%={ z<NofZ={oLHR_+Jb;Vx4(JG2JbhUt5^koP}7+~?BbLU@u{xGrtDCHKjW*gc*BJl2qW z5mR0g^fg|gC#u^<Yt4P)a{4r6s#Q8N%xG_Ktmt;04^wo@PsZ5OQCrZ@sDuAWd=c9A LPmM*`H%jps*u#;t literal 0 HcmV?d00001 diff --git a/_static/locales/uk/LC_MESSAGES/booktheme.po b/_static/locales/uk/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..e85f6f16 --- /dev/null +++ b/_static/locales/uk/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: uk\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "запропонувати редагувати" + +msgid "Last updated on" +msgstr "Останнє оновлення:" + +msgid "Edit this page" +msgstr "Редагувати цю сторінку" + +msgid "Launch" +msgstr "Запуск" + +msgid "Print to PDF" +msgstr "Друк у форматі PDF" + +msgid "open issue" +msgstr "відкритий випуск" + +msgid "Download notebook file" +msgstr "Завантажте файл блокнота" + +msgid "Toggle navigation" +msgstr "Переключити навігацію" + +msgid "Source repository" +msgstr "Джерело сховища" + +msgid "By the" +msgstr "По" + +msgid "next page" +msgstr "Наступна сторінка" + +msgid "repository" +msgstr "сховище" + +msgid "Sphinx Book Theme" +msgstr "Тема книги \"Сфінкс\"" + +msgid "Download source file" +msgstr "Завантажити вихідний файл" + +msgid "Contents" +msgstr "Зміст" + +msgid "By" +msgstr "Автор" + +msgid "Copyright" +msgstr "Авторське право" + +msgid "Fullscreen mode" +msgstr "Повноекранний режим" + +msgid "Open an issue" +msgstr "Відкрийте випуск" + +msgid "previous page" +msgstr "Попередня сторінка" + +msgid "Download this page" +msgstr "Завантажте цю сторінку" + +msgid "Theme by the" +msgstr "Тема від" diff --git a/_static/locales/ur/LC_MESSAGES/booktheme.mo b/_static/locales/ur/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..de8c84b935ed5c3db23e304015d45b638a3d2db3 GIT binary patch literal 1462 zcma)(&2Jk;7{&)0pqP)6LL-m>O`(TSv<;z`$dL~;A5u^%qBgBK^s=!h>rLI6)qdpT zRwLUoA{Qc+BL{@CNd#$~fM}{TM=rgzQV%n0sfS7&;BP2WpLe~9L#0ZLy!)G(eLtS} z@uTBCHyGACc;3gei{}G8S6;vi>pu7*_yBwvd<eb@w!uE|FOYJdfXBgJ1iuNM0*`@b zLCPBe-vGY^UkASidqI(LA-n%JJO2PupEWQCZh@447o_}q;B8Q6=kJd&_8QJVf>d_{ zw7^~PH24qrDR`oXv3~FiknZO|ioXGV2*%(?;Gf{z;NRf8;J+FBUg~@w04eVRNO2|b zJ#Z2H7+e8i$-yFT-pWp-6LJ_r(sdMXnvv>}ceKb;S{N^_PkZu%7R~=ky6bpCK9k3g z$k@3h{CHRvY(#lWzU!1jHmVk6McE}TRVZeZy2@wWis)VkD)Nisnai;32Hdk9!Ny8% zh>H8iNjnI6<dy7Dl(>>?(vD=Y%)au3<hJB)5JZAa`L0Bg;!~sJ>|&?BFFX~vq4Jm5 zMX&72MShO7Oqazq!O}OM=}4bej#Cj_+Vieshc22(u^4vLDC*N`;`w6URZ%80h#W^i znt)vNS978mS`#JfvhV|x$n#E9i<(+#yWIJS^JCrbgJ(X=jVKuk8Cugzp2+hMT?f31 z?aE<ZEZcq{!osELacig>=i4%v6}~kli>l;GC(nmw+%Pw3ODBSPc^>(>sY>MA6>D7i z*MdBkUV01)pAYlSw$Ly6$pRnzWH`t4n!cr5?Pa~wuCipkz0CC=x@BmuW3xx+mX7tR z*<q$(nr4UVwPc-}YI<4YNfVo&O@o`7X(mmMG*nCOFuiS>NZtNFp)tbr@2L4}dj%B? z$~?F1e_~CYdU3r0$=I6uq5ePVO_Bn=P}riFSZ}qf6oE57w5w3K+FoX+hEW?y<4|&p zx|p)Aw=sGx%}Vw#el49X^(ARiaRizwH+vA!fH?=_BQ=JATO9Uo!rm6_g(Z9Fvrf~J ziFzY}!KTjO`w9hS|3mkKY2Z8hBsWpwH*$FgF5fip{lMp#&N|*Vkp4MHrJJsNw1%8D c^9?3>eEmE8GP@z_uy-`khW>?G>aA{%rxd0lq5uE@ literal 0 HcmV?d00001 diff --git a/_static/locales/ur/LC_MESSAGES/booktheme.po b/_static/locales/ur/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..0f90726c --- /dev/null +++ b/_static/locales/ur/LC_MESSAGES/booktheme.po @@ -0,0 +1,66 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: ur\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "ترمیم کی تجویز کریں" + +msgid "Last updated on" +msgstr "آخری بار تازہ کاری ہوئی" + +msgid "Edit this page" +msgstr "اس صفحے میں ترمیم کریں" + +msgid "Launch" +msgstr "لانچ کریں" + +msgid "Print to PDF" +msgstr "پی ڈی ایف پرنٹ کریں" + +msgid "open issue" +msgstr "کھلا مسئلہ" + +msgid "Download notebook file" +msgstr "نوٹ بک فائل ڈاؤن لوڈ کریں" + +msgid "Toggle navigation" +msgstr "نیویگیشن ٹوگل کریں" + +msgid "Source repository" +msgstr "ماخذ ذخیرہ" + +msgid "By the" +msgstr "کی طرف" + +msgid "next page" +msgstr "اگلا صفحہ" + +msgid "Sphinx Book Theme" +msgstr "سپنکس بک تھیم" + +msgid "Download source file" +msgstr "سورس فائل ڈاؤن لوڈ کریں" + +msgid "By" +msgstr "بذریعہ" + +msgid "Copyright" +msgstr "کاپی رائٹ" + +msgid "Open an issue" +msgstr "ایک مسئلہ کھولیں" + +msgid "previous page" +msgstr "سابقہ ​​صفحہ" + +msgid "Download this page" +msgstr "اس صفحے کو ڈاؤن لوڈ کریں" + +msgid "Theme by the" +msgstr "کے ذریعہ تھیم" diff --git a/_static/locales/vi/LC_MESSAGES/booktheme.mo b/_static/locales/vi/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..2bb32555c3ea0dab08ed37b71cb863fbe75698c6 GIT binary patch literal 1431 zcmZvb&x;&I6vr#s{2bR9catc(#OK8%htWiG2(!#(H#@MntBV<f*WRAmu1b2V+OFzx z2ZFF95JJ2J-Gl5Qt0F;gAtH!OA4Eoie?ShwL!cp$lOTACr+nXZhaHT?RDHUBz3=zE z?s+(|XG5U9f<A?QAN>vV&v#)!JFr^_{KP>F`@nJV05}OA1gF4b;9KAkunA6pAA*NK z3BCmSiq}An^CkEqxCxGf--9oMKUe&tTK}_}KL%Ov30MQi#>)GLK%P&59Onf13wRdX z3;qSN-ajCp`xj*0y?e@hC&AY-KMlSLE>x7&{%7EEtZ#xGrw?+zzkx4+4=O$aInLi8 z=P?fP6X0=>=PmFs_%X<J(IBjdHSjg?3dkkr9Jqd5%Sm+B;=D&2B!;m#4mZw=8|!eb zIlrUm2s!k~?{>6t9{djXqq7H;REU`#e&m%Dv(|WNyu(A%OLe5YIB!2Su?;$8te4By zUZxct%bjIsvow_dS@cRfN`gp=xsLV-{cPIG;@E|$l!jJqM~a2OdCHPb;AMxb!8|je z5+5Wu5E#<VWl}7q+8~IfrSmOuq0~!dVx9Ij?THJC(q@fj*jro4RVjueEtfg9Z4||l zOwiR);59^yT=S(n%Q~e<lFF{OS!H`9yvw3U!lgteuwpOC(AVcX^@}ofh}NJ|zs~yg zp>l0;esOMR|IFK`YgJ+E?Oq}q<YC~QBo4Hhrcec`lfL;;yH!88b1n^xTajsf&V;t3 zP1K-s%i7l#0uyDZYlFJFwiIV+5Z7BaU3CpI$#CkL?@m+s*gR?I%_f~WHC+=kMSfdj z?Eh#Y@qUqirKywQ5i8#s`XuWW`MMEp%rvcKMSjaf<cs`zLaxX+$Opau-GrMW|Khoe za37HwZ1qH_iu{IA9A!Hozq2u`ivF+k`z=_(s~v3NgWy38elSYR7X9sn432Djii`do zLm`{e)E#VDv7`n+!TTa|qE!U&)GhkonPIebF>lDRK7TFmDND~hLNUKno*_5*I#duC ze1pUH?uya95XS<na80h3K{qt+X_P1<b?<JGZ*p}M{3_8NrsOrUN%%ix#fTSncUzQM Z`*e6S6ql71ocB7M!O~590wXmNPXTtKmQ4Tv literal 0 HcmV?d00001 diff --git a/_static/locales/vi/LC_MESSAGES/booktheme.po b/_static/locales/vi/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..2cb5cf3b --- /dev/null +++ b/_static/locales/vi/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: vi\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "đề nghị chỉnh sửa" + +msgid "Last updated on" +msgstr "Cập nhật lần cuối vào" + +msgid "Edit this page" +msgstr "chỉnh sửa trang này" + +msgid "Launch" +msgstr "Phóng" + +msgid "Print to PDF" +msgstr "In sang PDF" + +msgid "open issue" +msgstr "vấn đề mở" + +msgid "Download notebook file" +msgstr "Tải xuống tệp sổ tay" + +msgid "Toggle navigation" +msgstr "Chuyển đổi điều hướng thành" + +msgid "Source repository" +msgstr "Kho nguồn" + +msgid "By the" +msgstr "Bằng" + +msgid "next page" +msgstr "Trang tiếp theo" + +msgid "repository" +msgstr "kho" + +msgid "Sphinx Book Theme" +msgstr "Chủ đề sách nhân sư" + +msgid "Download source file" +msgstr "Tải xuống tệp nguồn" + +msgid "Contents" +msgstr "Nội dung" + +msgid "By" +msgstr "Bởi" + +msgid "Copyright" +msgstr "Bản quyền" + +msgid "Fullscreen mode" +msgstr "Chế độ toàn màn hình" + +msgid "Open an issue" +msgstr "Mở một vấn đề" + +msgid "previous page" +msgstr "trang trước" + +msgid "Download this page" +msgstr "Tải xuống trang này" + +msgid "Theme by the" +msgstr "Chủ đề của" diff --git a/_static/locales/zh_CN/LC_MESSAGES/booktheme.mo b/_static/locales/zh_CN/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..0e3235d090c2a05c0e278d38520f0437847dc79f GIT binary patch literal 1310 zcmZ9JO>7fK6vqb$6da&5d>$e(Tqr%5FL8(*`2r*YiH`^Z>aE(?ll6i#v)Y{nLNAmS zVZLM|@+Cqff{+L(H9>+X*h#n|&YXJarQWrDsNf1G{?EIRgwekJ?VFu>|Np%Cx20*2 zVQfXTBHkmmBW^Fl3uE<i#_+H;c&!50f~&!e;2N+M+yd?dH-Sm81v~|=2L<>es3ZOb zQk?;C9XJZE1)qXHfzuJ+M)Utfc@-qRPhbpOu_D~R9;Cb#q&h!?W$*w<>pw>P43chB zQ^;m;Gx8RY{OyX^7V!v3^?n6uod9Y7@6r5Kko@OC(isEk+)qHNR|2<z@1p<zfmHAR zDE|yL{HzT3HG|Z0T0?cHmm3k(TdKc!U@O~zp#IXJ^V6XIkv91v&nU^75p=hU2kFus z{(wMR8u!Z%_T%9?BiJD&wUFAyhu!a3W=6Ba>Y~glBh97KqDQIoyw}Q#g=trLPD*?? zsWX<#ZNn6-BW-Dv{+f1r*{qv#gpj;Xr3E`?xSD%*+R!4+l|=5zREC|jvA~era$Qfb zF2|B6qIlQgPIfxfbA+v2ODm_JowhTUyu=TZx9*JS6Rh#(J>i+Um1$-Lm&OIlG_(Z~ zDK6>Iog$r3#CF65OL>v)Mde-3GzDA=oCH?XIg!%wqv`lr;kc-l;Guq;^y3ZX*zu#s zI~M-$+r2jyH8$SeZ;J%iFtEqY8kTJ5sf^*cLMP93cgEWm);WfBdxaD4kSUe6q?zDt zJ(i9gGo<OEuL*uR^V^{lv97G=7}<EIa{Al^mv$p{ll$9w_?g@#`Hm#t_e*<>RpuVl zu3Y;tdw<bab+qWu4YKNuTrl=0tIXW0&COLO2WrKs;K5`tbiGoZj%I^WVQK#N<NElk z`q(2@ogJ#p-wnRy{<R7JMLw7q_h<9id^4CF4@O@GLsP-<bba_G8So3w{hJfa&yD)! zQmt65KN>+Y?BAIRa)rh<L$3Pp55IJ8$@Nxd%Ct1Z!g+#``Re0RkQ=JsFVu$f{`1*d n?pg4V)NfU0uE6I~DVU0;E9HBn5#$U0^-|?cF&KCqI$~b{HWi8t literal 0 HcmV?d00001 diff --git a/_static/locales/zh_CN/LC_MESSAGES/booktheme.po b/_static/locales/zh_CN/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..f91f3ba0 --- /dev/null +++ b/_static/locales/zh_CN/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: zh_CN\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "提出修改建议" + +msgid "Last updated on" +msgstr "上次更新时间：" + +msgid "Edit this page" +msgstr "编辑此页面" + +msgid "Launch" +msgstr "启动" + +msgid "Print to PDF" +msgstr "列印成 PDF" + +msgid "open issue" +msgstr "创建议题" + +msgid "Download notebook file" +msgstr "下载笔记本文件" + +msgid "Toggle navigation" +msgstr "显示或隐藏导航栏" + +msgid "Source repository" +msgstr "源码库" + +msgid "By the" +msgstr "作者：" + +msgid "next page" +msgstr "下一页" + +msgid "repository" +msgstr "仓库" + +msgid "Sphinx Book Theme" +msgstr "Sphinx Book 主题" + +msgid "Download source file" +msgstr "下载源文件" + +msgid "Contents" +msgstr "目录" + +msgid "By" +msgstr "作者：" + +msgid "Copyright" +msgstr "版权" + +msgid "Fullscreen mode" +msgstr "全屏模式" + +msgid "Open an issue" +msgstr "创建议题" + +msgid "previous page" +msgstr "上一页" + +msgid "Download this page" +msgstr "下载此页面" + +msgid "Theme by the" +msgstr "主题作者：" diff --git a/_static/locales/zh_TW/LC_MESSAGES/booktheme.mo b/_static/locales/zh_TW/LC_MESSAGES/booktheme.mo new file mode 100644 index 0000000000000000000000000000000000000000..9116fa95d0a752665e0f1d59857a32abfc0c6bce GIT binary patch literal 1341 zcmZ9JO>7%Q6vqb|O6z_>OFs^gI=uiz7%1XUIrvhVNR?8ES{E)zXk$;;3!9nM?rdo| zg(?BJNt;NGU78fyR1pmy`2barI!U>5;l_yr7d&hG1XmCT{?EI?hS9$L&6|(+{`20i zd%MaE;~=aX_A~4-Y~m68Ft$C)7(TWgzpda-a2vP}+zxhw2f(Mnr@$<@7d!**1_ihW z)CosHiZc!F0%yUU;1}SN;CBgsOxAx%{5nYa{sdFtmM!u9-5~khAjNqGTmxSL>HHrF z{{ks*S695g10>!1LDKhp!dDaaCwv>+k9`-U`<Fn<a~UN46_D=FgNMNTAf5jy@qYtJ z$KN2G+xl4SA4teSs@HQMm7HRePqo|!BaL*wb08FZ0!H<vLGPzQ^`ji5i!>l4+X18A zb`E+6_3&{R%F^mDJ28xp>!M(<DXE3j0VdwC@7P7nPOA5%tE>W-N{d0I-s9&TSG1P{ z75aJczeQbi0`6J1V7&!LBlM=*7rJhc_l1yrNEHO@w*t*WuV86W;7Y;|WxmMX@NmGA z+zEnEumRtZ2%`AF$v$>A&gTnH1&&t!FgxoN9eI(TAZ@v#7!s`Y=Y#Q^a>}+{!KHP< zu`TT&i4+%gtWHs$IEm+r3yumC*&X47(6$9s3cLhT)Vm_D)29mQH-#S{T878@)098m z%A7iV>U3{=|JVyJrINy?bHkp<a18-3damWj9-c2+ejs%AT&^#DynW8MWN=>i>0X&v z1xMN$etgi;seVh^A?ljp9~9roy_FhpL*H`KeaasSGF*BsH^{!+!{cf8S;>!N`LUxt zDOTIK)fgH3eSM~5R-avJPK<W6yS6&sSij6)-)wgD<#aSxV)3%McH7(=$5P@)i}TGp zA2vU|%j(}RG}f2fz8PC+e0JA7C`Su(W_^-Hw?@pviD>qIR9T5`UTRjZlMYk9ZN|&2 zSsBNyvAEKln_#AN!(3g7N>i<F*B*WpRj178w`TDZQ~l~cy{>JPqMOUL)it`->9il( zoLjEXSEEv;IrB~9#-v%f*7$q_8AyL^bp+y>8T%Uf>ocRKJlP7gdS!Fx->lK(l=-+? P`(Y`Xeqh$BP|E%Rvo4ks literal 0 HcmV?d00001 diff --git a/_static/locales/zh_TW/LC_MESSAGES/booktheme.po b/_static/locales/zh_TW/LC_MESSAGES/booktheme.po new file mode 100644 index 00000000..7833d904 --- /dev/null +++ b/_static/locales/zh_TW/LC_MESSAGES/booktheme.po @@ -0,0 +1,75 @@ + +msgid "" +msgstr "" +"Project-Id-Version: Sphinx-Book-Theme\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Language: zh_TW\n" +"Plural-Forms: nplurals=2; plural=(n != 1);\n" + +msgid "suggest edit" +msgstr "提出修改建議" + +msgid "Last updated on" +msgstr "最後更新時間：" + +msgid "Edit this page" +msgstr "編輯此頁面" + +msgid "Launch" +msgstr "啟動" + +msgid "Print to PDF" +msgstr "列印成 PDF" + +msgid "open issue" +msgstr "公開的問題" + +msgid "Download notebook file" +msgstr "下載 Notebook 檔案" + +msgid "Toggle navigation" +msgstr "顯示或隱藏導覽列" + +msgid "Source repository" +msgstr "來源儲存庫" + +msgid "By the" +msgstr "作者：" + +msgid "next page" +msgstr "下一頁" + +msgid "repository" +msgstr "儲存庫" + +msgid "Sphinx Book Theme" +msgstr "Sphinx Book 佈景主題" + +msgid "Download source file" +msgstr "下載原始檔" + +msgid "Contents" +msgstr "目錄" + +msgid "By" +msgstr "作者：" + +msgid "Copyright" +msgstr "Copyright" + +msgid "Fullscreen mode" +msgstr "全螢幕模式" + +msgid "Open an issue" +msgstr "開啟議題" + +msgid "previous page" +msgstr "上一頁" + +msgid "Download this page" +msgstr "下載此頁面" + +msgid "Theme by the" +msgstr "佈景主題作者：" diff --git a/_static/minus.png b/_static/minus.png new file mode 100644 index 0000000000000000000000000000000000000000..d96755fdaf8bb2214971e0db9c1fd3077d7c419d GIT binary patch literal 90 zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu=nj kDsEF_5m^0CR;1wuP-*O&G^0G}KYk!hp00i_>zopr08q^qX#fBK literal 0 HcmV?d00001 diff --git a/_static/nbsphinx-broken-thumbnail.svg b/_static/nbsphinx-broken-thumbnail.svg new file mode 100644 index 00000000..4919ca88 --- /dev/null +++ b/_static/nbsphinx-broken-thumbnail.svg @@ -0,0 +1,9 @@ +<svg 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i=`click.dismiss${t.EVENT_KEY}`,n=t.NAME;de.on(document,i,`[data-bs-dismiss="${n}"]`,(function(i){if(["A","AREA"].includes(this.tagName)&&i.preventDefault(),Ft(this))return;const s=Pt(this)||this.closest(`.${n}`);t.getOrCreateInstance(s)[e]()}))},Ae=".bs.alert",Ee=`close${Ae}`,Ce=`closed${Ae}`;class Te extends ye{static get NAME(){return"alert"}close(){if(de.trigger(this._element,Ee).defaultPrevented)return;this._element.classList.remove("show");const t=this._element.classList.contains("fade");this._queueCallback((()=>this._destroyElement()),this._element,t)}_destroyElement(){this._element.remove(),de.trigger(this._element,Ce),this.dispose()}static jQueryInterface(t){return this.each((function(){const e=Te.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}we(Te,"close"),Qt(Te);const Oe='[data-bs-toggle="button"]';class xe extends ye{static get NAME(){return"button"}toggle(){this._element.setAttribute("aria-pressed",this._element.classList.toggle("active"))}static jQueryInterface(t){return this.each((function(){const e=xe.getOrCreateInstance(this);"toggle"===t&&e[t]()}))}}de.on(document,"click.bs.button.data-api",Oe,(t=>{t.preventDefault();const e=t.target.closest(Oe);xe.getOrCreateInstance(e).toggle()})),Qt(xe);const ke={find:(t,e=document.documentElement)=>[].concat(...Element.prototype.querySelectorAll.call(e,t)),findOne:(t,e=document.documentElement)=>Element.prototype.querySelector.call(e,t),children:(t,e)=>[].concat(...t.children).filter((t=>t.matches(e))),parents(t,e){const i=[];let n=t.parentNode.closest(e);for(;n;)i.push(n),n=n.parentNode.closest(e);return i},prev(t,e){let i=t.previousElementSibling;for(;i;){if(i.matches(e))return[i];i=i.previousElementSibling}return[]},next(t,e){let i=t.nextElementSibling;for(;i;){if(i.matches(e))return[i];i=i.nextElementSibling}return[]},focusableChildren(t){const e=["a","button","input","textarea","select","details","[tabindex]",'[contenteditable="true"]'].map((t=>`${t}:not([tabindex^="-"])`)).join(",");return this.find(e,t).filter((t=>!Ft(t)&&Wt(t)))}},Le=".bs.swipe",De=`touchstart${Le}`,$e=`touchmove${Le}`,Se=`touchend${Le}`,Ie=`pointerdown${Le}`,Ne=`pointerup${Le}`,Pe={endCallback:null,leftCallback:null,rightCallback:null},je={endCallback:"(function|null)",leftCallback:"(function|null)",rightCallback:"(function|null)"};class Me extends ve{constructor(t,e){super(),this._element=t,t&&Me.isSupported()&&(this._config=this._getConfig(e),this._deltaX=0,this._supportPointerEvents=Boolean(window.PointerEvent),this._initEvents())}static get Default(){return Pe}static get DefaultType(){return je}static get NAME(){return"swipe"}dispose(){de.off(this._element,Le)}_start(t){this._supportPointerEvents?this._eventIsPointerPenTouch(t)&&(this._deltaX=t.clientX):this._deltaX=t.touches[0].clientX}_end(t){this._eventIsPointerPenTouch(t)&&(this._deltaX=t.clientX-this._deltaX),this._handleSwipe(),Xt(this._config.endCallback)}_move(t){this._deltaX=t.touches&&t.touches.length>1?0:t.touches[0].clientX-this._deltaX}_handleSwipe(){const t=Math.abs(this._deltaX);if(t<=40)return;const e=t/this._deltaX;this._deltaX=0,e&&Xt(e>0?this._config.rightCallback:this._config.leftCallback)}_initEvents(){this._supportPointerEvents?(de.on(this._element,Ie,(t=>this._start(t))),de.on(this._element,Ne,(t=>this._end(t))),this._element.classList.add("pointer-event")):(de.on(this._element,De,(t=>this._start(t))),de.on(this._element,$e,(t=>this._move(t))),de.on(this._element,Se,(t=>this._end(t))))}_eventIsPointerPenTouch(t){return this._supportPointerEvents&&("pen"===t.pointerType||"touch"===t.pointerType)}static isSupported(){return"ontouchstart"in document.documentElement||navigator.maxTouchPoints>0}}const He=".bs.carousel",We=".data-api",Fe="next",Be="prev",ze="left",qe="right",Re=`slide${He}`,Ve=`slid${He}`,Ke=`keydown${He}`,Qe=`mouseenter${He}`,Xe=`mouseleave${He}`,Ye=`dragstart${He}`,Ue=`load${He}${We}`,Ge=`click${He}${We}`,Je="carousel",Ze="active",ti=".active",ei=".carousel-item",ii=ti+ei,ni={ArrowLeft:qe,ArrowRight:ze},si={interval:5e3,keyboard:!0,pause:"hover",ride:!1,touch:!0,wrap:!0},oi={interval:"(number|boolean)",keyboard:"boolean",pause:"(string|boolean)",ride:"(boolean|string)",touch:"boolean",wrap:"boolean"};class ri extends ye{constructor(t,e){super(t,e),this._interval=null,this._activeElement=null,this._isSliding=!1,this.touchTimeout=null,this._swipeHelper=null,this._indicatorsElement=ke.findOne(".carousel-indicators",this._element),this._addEventListeners(),this._config.ride===Je&&this.cycle()}static get Default(){return si}static get DefaultType(){return oi}static get NAME(){return"carousel"}next(){this._slide(Fe)}nextWhenVisible(){!document.hidden&&Wt(this._element)&&this.next()}prev(){this._slide(Be)}pause(){this._isSliding&&jt(this._element),this._clearInterval()}cycle(){this._clearInterval(),this._updateInterval(),this._interval=setInterval((()=>this.nextWhenVisible()),this._config.interval)}_maybeEnableCycle(){this._config.ride&&(this._isSliding?de.one(this._element,Ve,(()=>this.cycle())):this.cycle())}to(t){const e=this._getItems();if(t>e.length-1||t<0)return;if(this._isSliding)return void de.one(this._element,Ve,(()=>this.to(t)));const i=this._getItemIndex(this._getActive());if(i===t)return;const n=t>i?Fe:Be;this._slide(n,e[t])}dispose(){this._swipeHelper&&this._swipeHelper.dispose(),super.dispose()}_configAfterMerge(t){return t.defaultInterval=t.interval,t}_addEventListeners(){this._config.keyboard&&de.on(this._element,Ke,(t=>this._keydown(t))),"hover"===this._config.pause&&(de.on(this._element,Qe,(()=>this.pause())),de.on(this._element,Xe,(()=>this._maybeEnableCycle()))),this._config.touch&&Me.isSupported()&&this._addTouchEventListeners()}_addTouchEventListeners(){for(const t of ke.find(".carousel-item img",this._element))de.on(t,Ye,(t=>t.preventDefault()));const t={leftCallback:()=>this._slide(this._directionToOrder(ze)),rightCallback:()=>this._slide(this._directionToOrder(qe)),endCallback:()=>{"hover"===this._config.pause&&(this.pause(),this.touchTimeout&&clearTimeout(this.touchTimeout),this.touchTimeout=setTimeout((()=>this._maybeEnableCycle()),500+this._config.interval))}};this._swipeHelper=new Me(this._element,t)}_keydown(t){if(/input|textarea/i.test(t.target.tagName))return;const e=ni[t.key];e&&(t.preventDefault(),this._slide(this._directionToOrder(e)))}_getItemIndex(t){return this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=ke.findOne(ti,this._indicatorsElement);e.classList.remove(Ze),e.removeAttribute("aria-current");const i=ke.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(Ze),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===Fe,s=e||Ut(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>de.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(Re).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),qt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(Ze),i.classList.remove(Ze,c,l),this._isSliding=!1,r(Ve)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return ke.findOne(ii,this._element)}_getItems(){return ke.find(ei,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Kt()?t===ze?Be:Fe:t===ze?Fe:Be}_orderToDirection(t){return Kt()?t===Be?ze:qe:t===Be?qe:ze}static jQueryInterface(t){return this.each((function(){const e=ri.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}de.on(document,Ge,"[data-bs-slide], 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e=Nt(t),i=ke.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return bi}static get DefaultType(){return vi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>yi.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(de.trigger(this._element,li).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(pi),this._element.classList.add(gi),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(gi),this._element.classList.add(pi,fi),this._element.style[e]="",de.trigger(this._element,ci)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(de.trigger(this._element,hi).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(gi),this._element.classList.remove(pi,fi);for(const t of this._triggerArray){const e=Pt(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(gi),this._element.classList.add(pi),de.trigger(this._element,ui)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(fi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(_i);for(const e of t){const t=Pt(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=ke.find(mi,this._config.parent);return ke.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=yi.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}de.on(document,di,_i,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();const e=Nt(this),i=ke.find(e);for(const t of i)yi.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(yi);const wi="dropdown",Ai=".bs.dropdown",Ei=".data-api",Ci="ArrowUp",Ti="ArrowDown",Oi=`hide${Ai}`,xi=`hidden${Ai}`,ki=`show${Ai}`,Li=`shown${Ai}`,Di=`click${Ai}${Ei}`,$i=`keydown${Ai}${Ei}`,Si=`keyup${Ai}${Ei}`,Ii="show",Ni='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Pi=`${Ni}.${Ii}`,ji=".dropdown-menu",Mi=Kt()?"top-end":"top-start",Hi=Kt()?"top-start":"top-end",Wi=Kt()?"bottom-end":"bottom-start",Fi=Kt()?"bottom-start":"bottom-end",Bi=Kt()?"left-start":"right-start",zi=Kt()?"right-start":"left-start",qi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Vi extends ye{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=ke.next(this._element,ji)[0]||ke.prev(this._element,ji)[0]||ke.findOne(ji,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return qi}static get DefaultType(){return Ri}static get NAME(){return wi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Ft(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!de.trigger(this._element,ki,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))de.on(t,"mouseover",zt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Ii),this._element.classList.add(Ii),de.trigger(this._element,Li,t)}}hide(){if(Ft(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!de.trigger(this._element,Oi,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))de.off(t,"mouseover",zt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Ii),this._element.classList.remove(Ii),this._element.setAttribute("aria-expanded","false"),be.removeDataAttribute(this._menu,"popper"),de.trigger(this._element,xi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Mt(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${wi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Mt(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Ii)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Bi;if(t.classList.contains("dropstart"))return zi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Hi:Mi:e?Fi:Wi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(be.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=ke.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Wt(t)));i.length&&Ut(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Vi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=ke.find(Pi);for(const i of e){const e=Vi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ci,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ni)?this:ke.prev(this,Ni)[0]||ke.next(this,Ni)[0]||ke.findOne(Ni,t.delegateTarget.parentNode),o=Vi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}de.on(document,$i,Ni,Vi.dataApiKeydownHandler),de.on(document,$i,ji,Vi.dataApiKeydownHandler),de.on(document,Di,Vi.clearMenus),de.on(document,Si,Vi.clearMenus),de.on(document,Di,Ni,(function(t){t.preventDefault(),Vi.getOrCreateInstance(this).toggle()})),Qt(Vi);const Ki=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",Qi=".sticky-top",Xi="padding-right",Yi="margin-right";class Ui{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,Xi,(e=>e+t)),this._setElementAttributes(Ki,Xi,(e=>e+t)),this._setElementAttributes(Qi,Yi,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,Xi),this._resetElementAttributes(Ki,Xi),this._resetElementAttributes(Qi,Yi)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&be.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=be.getDataAttribute(t,e);null!==i?(be.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Mt(t))e(t);else for(const i of ke.find(t,this._element))e(i)}}const Gi="backdrop",Ji="show",Zi=`mousedown.bs.${Gi}`,tn={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},en={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class nn extends ve{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return tn}static get DefaultType(){return en}static get NAME(){return Gi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Ji),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ji),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(de.off(this._element,Zi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),de.on(t,Zi,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Yt(t,this._getElement(),this._config.isAnimated)}}const sn=".bs.focustrap",on=`focusin${sn}`,rn=`keydown.tab${sn}`,an="backward",ln={autofocus:!0,trapElement:null},cn={autofocus:"boolean",trapElement:"element"};class hn extends ve{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return ln}static get DefaultType(){return cn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),de.off(document,sn),de.on(document,on,(t=>this._handleFocusin(t))),de.on(document,rn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,de.off(document,sn))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=ke.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===an?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?an:"forward")}}const un=".bs.modal",dn=`hide${un}`,fn=`hidePrevented${un}`,pn=`hidden${un}`,gn=`show${un}`,mn=`shown${un}`,_n=`resize${un}`,bn=`click.dismiss${un}`,vn=`mousedown.dismiss${un}`,yn=`keydown.dismiss${un}`,wn=`click${un}.data-api`,An="modal-open",En="show",Cn="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},On={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class xn extends ye{constructor(t,e){super(t,e),this._dialog=ke.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new Ui,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return On}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||de.trigger(this._element,gn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(An),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(de.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(En),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){for(const t of[window,this._dialog])de.off(t,un);this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new nn({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new hn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=ke.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(En),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,de.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){de.on(this._element,yn,(t=>{if("Escape"===t.key)return this._config.keyboard?(t.preventDefault(),void this.hide()):void this._triggerBackdropTransition()})),de.on(window,_n,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),de.on(this._element,vn,(t=>{de.one(this._element,bn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(An),this._resetAdjustments(),this._scrollBar.reset(),de.trigger(this._element,pn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(de.trigger(this._element,fn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(Cn)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(Cn),this._queueCallback((()=>{this._element.classList.remove(Cn),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=xn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}de.on(document,wn,'[data-bs-toggle="modal"]',(function(t){const e=Pt(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),de.one(e,gn,(t=>{t.defaultPrevented||de.one(e,pn,(()=>{Wt(this)&&this.focus()}))}));const i=ke.findOne(".modal.show");i&&xn.getInstance(i).hide(),xn.getOrCreateInstance(e).toggle(this)})),we(xn),Qt(xn);const kn=".bs.offcanvas",Ln=".data-api",Dn=`load${kn}${Ln}`,$n="show",Sn="showing",In="hiding",Nn=".offcanvas.show",Pn=`show${kn}`,jn=`shown${kn}`,Mn=`hide${kn}`,Hn=`hidePrevented${kn}`,Wn=`hidden${kn}`,Fn=`resize${kn}`,Bn=`click${kn}${Ln}`,zn=`keydown.dismiss${kn}`,qn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Vn extends ye{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return qn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||de.trigger(this._element,Pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new Ui).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Sn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add($n),this._element.classList.remove(Sn),de.trigger(this._element,jn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(de.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(In),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove($n,In),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new Ui).reset(),de.trigger(this._element,Wn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new nn({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():de.trigger(this._element,Hn)}:null})}_initializeFocusTrap(){return new hn({trapElement:this._element})}_addEventListeners(){de.on(this._element,zn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():de.trigger(this._element,Hn))}))}static jQueryInterface(t){return this.each((function(){const e=Vn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}de.on(document,Bn,'[data-bs-toggle="offcanvas"]',(function(t){const e=Pt(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Ft(this))return;de.one(e,Wn,(()=>{Wt(this)&&this.focus()}));const i=ke.findOne(Nn);i&&i!==e&&Vn.getInstance(i).hide(),Vn.getOrCreateInstance(e).toggle(this)})),de.on(window,Dn,(()=>{for(const t of ke.find(Nn))Vn.getOrCreateInstance(t).show()})),de.on(window,Fn,(()=>{for(const t of ke.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Vn.getOrCreateInstance(t).hide()})),we(Vn),Qt(Vn);const Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Xn=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Yn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)||Xn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Un={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Gn={allowList:Un,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Jn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Zn={entry:"(string|element|function|null)",selector:"(string|element)"};class ts extends ve{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Gn}static get DefaultType(){return Jn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Zn)}_setContent(t,e,i){const n=ke.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Mt(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Yn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return"function"==typeof t?t(this):t}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const es=new Set(["sanitize","allowList","sanitizeFn"]),is="fade",ns="show",ss=".modal",os="hide.bs.modal",rs="hover",as="focus",ls={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},cs={allowList:Un,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,0],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},hs={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class us extends ye{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return cs}static get DefaultType(){return hs}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),de.off(this._element.closest(ss),os,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=de.trigger(this._element,this.constructor.eventName("show")),e=(Bt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),de.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(ns),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))de.on(t,"mouseover",zt);this._queueCallback((()=>{de.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!de.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(ns),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))de.off(t,"mouseover",zt);this._activeTrigger.click=!1,this._activeTrigger[as]=!1,this._activeTrigger[rs]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),de.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(is,ns),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(is),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new ts({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(is)}_isShown(){return this.tip&&this.tip.classList.contains(ns)}_createPopper(t){const e="function"==typeof this._config.placement?this._config.placement.call(this,t,this._element):this._config.placement,i=ls[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)de.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===rs?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===rs?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");de.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?as:rs]=!0,e._enter()})),de.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?as:rs]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},de.on(this._element.closest(ss),os,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=be.getDataAttributes(this._element);for(const t of Object.keys(e))es.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=us.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(us);const ds={...us.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div 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t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=ke.find(ys,this._config.target);for(const e of t){if(!e.hash||Ft(e))continue;const t=ke.findOne(e.hash,this._element);Wt(t)&&(this._targetLinks.set(e.hash,e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(vs),this._activateParents(t),de.trigger(this._element,ms,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))ke.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(vs);else for(const e of ke.parents(t,".nav, .list-group"))for(const t of ke.prev(e,As))t.classList.add(vs)}_clearActiveClass(t){t.classList.remove(vs);const e=ke.find(`${ys}.${vs}`,t);for(const t of e)t.classList.remove(vs)}static jQueryInterface(t){return this.each((function(){const e=Ts.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}de.on(window,bs,(()=>{for(const t of ke.find('[data-bs-spy="scroll"]'))Ts.getOrCreateInstance(t)})),Qt(Ts);const Os=".bs.tab",xs=`hide${Os}`,ks=`hidden${Os}`,Ls=`show${Os}`,Ds=`shown${Os}`,$s=`click${Os}`,Ss=`keydown${Os}`,Is=`load${Os}`,Ns="ArrowLeft",Ps="ArrowRight",js="ArrowUp",Ms="ArrowDown",Hs="active",Ws="fade",Fs="show",Bs=":not(.dropdown-toggle)",zs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',qs=`.nav-link${Bs}, .list-group-item${Bs}, [role="tab"]${Bs}, ${zs}`,Rs=`.${Hs}[data-bs-toggle="tab"], .${Hs}[data-bs-toggle="pill"], .${Hs}[data-bs-toggle="list"]`;class Vs extends ye{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),de.on(this._element,Ss,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?de.trigger(e,xs,{relatedTarget:t}):null;de.trigger(t,Ls,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(Hs),this._activate(Pt(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),de.trigger(t,Ds,{relatedTarget:e})):t.classList.add(Fs)}),t,t.classList.contains(Ws)))}_deactivate(t,e){t&&(t.classList.remove(Hs),t.blur(),this._deactivate(Pt(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),de.trigger(t,ks,{relatedTarget:e})):t.classList.remove(Fs)}),t,t.classList.contains(Ws)))}_keydown(t){if(![Ns,Ps,js,Ms].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=[Ps,Ms].includes(t.key),i=Ut(this._getChildren().filter((t=>!Ft(t))),t.target,e,!0);i&&(i.focus({preventScroll:!0}),Vs.getOrCreateInstance(i).show())}_getChildren(){return ke.find(qs,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=Pt(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`#${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=ke.findOne(t,i);s&&s.classList.toggle(n,e)};n(".dropdown-toggle",Hs),n(".dropdown-menu",Fs),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(Hs)}_getInnerElement(t){return t.matches(qs)?t:ke.findOne(qs,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=Vs.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}de.on(document,$s,zs,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),Ft(this)||Vs.getOrCreateInstance(this).show()})),de.on(window,Is,(()=>{for(const t of ke.find(Rs))Vs.getOrCreateInstance(t)})),Qt(Vs);const Ks=".bs.toast",Qs=`mouseover${Ks}`,Xs=`mouseout${Ks}`,Ys=`focusin${Ks}`,Us=`focusout${Ks}`,Gs=`hide${Ks}`,Js=`hidden${Ks}`,Zs=`show${Ks}`,to=`shown${Ks}`,eo="hide",io="show",no="showing",so={animation:"boolean",autohide:"boolean",delay:"number"},oo={animation:!0,autohide:!0,delay:5e3};class ro extends ye{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return oo}static get DefaultType(){return so}static get NAME(){return"toast"}show(){de.trigger(this._element,Zs).defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(eo),qt(this._element),this._element.classList.add(io,no),this._queueCallback((()=>{this._element.classList.remove(no),de.trigger(this._element,to),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(de.trigger(this._element,Gs).defaultPrevented||(this._element.classList.add(no),this._queueCallback((()=>{this._element.classList.add(eo),this._element.classList.remove(no,io),de.trigger(this._element,Js)}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(io),super.dispose()}isShown(){return 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= 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n if (node == null) {\n return window;\n }\n\n if (node.toString() !== '[object Window]') {\n var ownerDocument = node.ownerDocument;\n return ownerDocument ? ownerDocument.defaultView || window : window;\n }\n\n return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n var OwnElement = getWindow(node).Element;\n return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n var OwnElement = getWindow(node).HTMLElement;\n return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n // IE 11 has no ShadowRoot\n if (typeof ShadowRoot === 'undefined') {\n return false;\n }\n\n var OwnElement = getWindow(node).ShadowRoot;\n return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n var state = _ref.state;\n Object.keys(state.elements).forEach(function (name) {\n var style = state.styles[name] || {};\n var attributes = state.attributes[name] || {};\n var element = state.elements[name]; // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n } // Flow doesn't support to extend this property, but it's the most\n // effective way to apply styles to an HTMLElement\n // $FlowFixMe[cannot-write]\n\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (name) {\n var value = attributes[name];\n\n if (value === false) {\n element.removeAttribute(name);\n } else {\n element.setAttribute(name, value === true ? '' : value);\n }\n });\n });\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state;\n var initialStyles = {\n popper: {\n position: state.options.strategy,\n left: '0',\n top: '0',\n margin: '0'\n },\n arrow: {\n position: 'absolute'\n },\n reference: {}\n };\n Object.assign(state.elements.popper.style, initialStyles.popper);\n state.styles = initialStyles;\n\n if (state.elements.arrow) {\n Object.assign(state.elements.arrow.style, initialStyles.arrow);\n }\n\n return function () {\n Object.keys(state.elements).forEach(function (name) {\n var element = state.elements[name];\n var attributes = state.attributes[name] || {};\n var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n var style = styleProperties.reduce(function (style, property) {\n style[property] = '';\n return style;\n }, {}); // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n }\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (attribute) {\n element.removeAttribute(attribute);\n });\n });\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'applyStyles',\n enabled: true,\n phase: 'write',\n fn: applyStyles,\n effect: effect,\n requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n var uaData = navigator.userAgentData;\n\n if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n return uaData.brands.map(function (item) {\n return item.brand + \"/\" + item.version;\n }).join(' ');\n }\n\n return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n if (includeScale === void 0) {\n includeScale = false;\n }\n\n if (isFixedStrategy === void 0) {\n isFixedStrategy = false;\n }\n\n var clientRect = element.getBoundingClientRect();\n var scaleX = 1;\n var scaleY = 1;\n\n if (includeScale && isHTMLElement(element)) {\n scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n }\n\n var _ref = isElement(element) ? getWindow(element) : window,\n visualViewport = _ref.visualViewport;\n\n var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n var width = clientRect.width / scaleX;\n var height = clientRect.height / scaleY;\n return {\n width: width,\n height: height,\n top: y,\n right: x + width,\n bottom: y + height,\n left: x,\n x: x,\n y: y\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n var width = element.offsetWidth;\n var height = element.offsetHeight;\n\n if (Math.abs(clientRect.width - width) <= 1) {\n width = clientRect.width;\n }\n\n if (Math.abs(clientRect.height - height) <= 1) {\n height = clientRect.height;\n }\n\n return {\n x: element.offsetLeft,\n y: element.offsetTop,\n width: width,\n height: height\n };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n if (parent.contains(child)) {\n return true;\n } // then fallback to custom implementation with Shadow DOM support\n else if (rootNode && isShadowRoot(rootNode)) {\n var next = child;\n\n do {\n if (next && parent.isSameNode(next)) {\n return true;\n } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n next = next.parentNode || next.host;\n } while (next);\n } // Give up, the result is false\n\n\n return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n if (getNodeName(element) === 'html') {\n return element;\n }\n\n return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n // $FlowFixMe[incompatible-return]\n // $FlowFixMe[prop-missing]\n element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n element.parentNode || ( // DOM Element detected\n isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n getDocumentElement(element) // fallback\n\n );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n getComputedStyle(element).position === 'fixed') {\n return null;\n }\n\n return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n var isFirefox = /firefox/i.test(getUAString());\n var isIE = /Trident/i.test(getUAString());\n\n if (isIE && isHTMLElement(element)) {\n // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n var elementCss = getComputedStyle(element);\n\n if (elementCss.position === 'fixed') {\n return null;\n }\n }\n\n var currentNode = getParentNode(element);\n\n if (isShadowRoot(currentNode)) {\n currentNode = currentNode.host;\n }\n\n while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n // create a containing block.\n // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n return currentNode;\n } else {\n currentNode = currentNode.parentNode;\n }\n }\n\n return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n var window = getWindow(element);\n var offsetParent = getTrueOffsetParent(element);\n\n while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n offsetParent = getTrueOffsetParent(offsetParent);\n }\n\n if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n return window;\n }\n\n return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n var v = within(min, value, max);\n return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n return {\n top: 0,\n right: 0,\n bottom: 0,\n left: 0\n };\n}","export default function expandToHashMap(value, keys) {\n return keys.reduce(function (hashMap, key) {\n hashMap[key] = value;\n return hashMap;\n }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n placement: state.placement\n })) : padding;\n return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n var _state$modifiersData$;\n\n var state = _ref.state,\n name = _ref.name,\n options = _ref.options;\n var arrowElement = state.elements.arrow;\n var popperOffsets = state.modifiersData.popperOffsets;\n var basePlacement = getBasePlacement(state.placement);\n var axis = getMainAxisFromPlacement(basePlacement);\n var isVertical = [left, right].indexOf(basePlacement) >= 0;\n var len = isVertical ? 'height' : 'width';\n\n if (!arrowElement || !popperOffsets) {\n return;\n }\n\n var paddingObject = toPaddingObject(options.padding, state);\n var arrowRect = getLayoutRect(arrowElement);\n var minProp = axis === 'y' ? top : left;\n var maxProp = axis === 'y' ? bottom : right;\n var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n var arrowOffsetParent = getOffsetParent(arrowElement);\n var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n // outside of the popper bounds\n\n var min = paddingObject[minProp];\n var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n var axisProp = axis;\n state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state,\n options = _ref2.options;\n var _options$element = options.element,\n arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n if (arrowElement == null) {\n return;\n } // CSS selector\n\n\n if (typeof arrowElement === 'string') {\n arrowElement = state.elements.popper.querySelector(arrowElement);\n\n if (!arrowElement) {\n return;\n }\n }\n\n if (process.env.NODE_ENV !== \"production\") {\n if (!isHTMLElement(arrowElement)) {\n console.error(['Popper: \"arrow\" element must be an HTMLElement (not an SVGElement).', 'To use an SVG arrow, wrap it in an HTMLElement that will be used as', 'the arrow.'].join(' '));\n }\n }\n\n if (!contains(state.elements.popper, arrowElement)) {\n if (process.env.NODE_ENV !== \"production\") {\n console.error(['Popper: \"arrow\" modifier\\'s `element` must be a child of the popper', 'element.'].join(' '));\n }\n\n return;\n }\n\n state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'arrow',\n enabled: true,\n phase: 'main',\n fn: arrow,\n effect: effect,\n requires: ['popperOffsets'],\n requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n top: 'auto',\n right: 'auto',\n bottom: 'auto',\n left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n var x = _ref.x,\n y = _ref.y;\n var dpr = win.devicePixelRatio || 1;\n return {\n x: round(x * dpr) / dpr || 0,\n y: round(y * dpr) / dpr || 0\n };\n}\n\nexport function mapToStyles(_ref2) {\n var _Object$assign2;\n\n var popper = _ref2.popper,\n popperRect = _ref2.popperRect,\n placement = _ref2.placement,\n variation = _ref2.variation,\n offsets = _ref2.offsets,\n position = _ref2.position,\n gpuAcceleration = _ref2.gpuAcceleration,\n adaptive = _ref2.adaptive,\n roundOffsets = _ref2.roundOffsets,\n isFixed = _ref2.isFixed;\n var _offsets$x = offsets.x,\n x = _offsets$x === void 0 ? 0 : _offsets$x,\n _offsets$y = offsets.y,\n y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n x: x,\n y: y\n }) : {\n x: x,\n y: y\n };\n\n x = _ref3.x;\n y = _ref3.y;\n var hasX = offsets.hasOwnProperty('x');\n var hasY = offsets.hasOwnProperty('y');\n var sideX = left;\n var sideY = top;\n var win = window;\n\n if (adaptive) {\n var offsetParent = getOffsetParent(popper);\n var heightProp = 'clientHeight';\n var widthProp = 'clientWidth';\n\n if (offsetParent === getWindow(popper)) {\n offsetParent = getDocumentElement(popper);\n\n if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n heightProp = 'scrollHeight';\n widthProp = 'scrollWidth';\n }\n } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n offsetParent = offsetParent;\n\n if (placement === top || (placement === left || placement === right) && variation === end) {\n sideY = bottom;\n var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n offsetParent[heightProp];\n y -= offsetY - popperRect.height;\n y *= gpuAcceleration ? 1 : -1;\n }\n\n if (placement === left || (placement === top || placement === bottom) && variation === end) {\n sideX = right;\n var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n offsetParent[widthProp];\n x -= offsetX - popperRect.width;\n x *= gpuAcceleration ? 1 : -1;\n }\n }\n\n var commonStyles = Object.assign({\n position: position\n }, adaptive && unsetSides);\n\n var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n x: x,\n y: y\n }, getWindow(popper)) : {\n x: x,\n y: y\n };\n\n x = _ref4.x;\n y = _ref4.y;\n\n if (gpuAcceleration) {\n var _Object$assign;\n\n return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n }\n\n return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n var state = _ref5.state,\n options = _ref5.options;\n var _options$gpuAccelerat = options.gpuAcceleration,\n gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n _options$adaptive = options.adaptive,\n adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n _options$roundOffsets = options.roundOffsets,\n roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n\n if (process.env.NODE_ENV !== \"production\") {\n var transitionProperty = getComputedStyle(state.elements.popper).transitionProperty || '';\n\n if (adaptive && ['transform', 'top', 'right', 'bottom', 'left'].some(function (property) {\n return transitionProperty.indexOf(property) >= 0;\n })) {\n console.warn(['Popper: Detected CSS transitions on at least one of the following', 'CSS properties: \"transform\", \"top\", \"right\", \"bottom\", \"left\".', '\\n\\n', 'Disable the \"computeStyles\" modifier\\'s `adaptive` option to allow', 'for smooth transitions, or remove these properties from the CSS', 'transition declaration on the popper element if only transitioning', 'opacity or background-color for example.', '\\n\\n', 'We recommend using the popper element as a wrapper around an inner', 'element that can have any CSS property transitioned for animations.'].join(' '));\n }\n }\n\n var commonStyles = {\n placement: getBasePlacement(state.placement),\n variation: getVariation(state.placement),\n popper: state.elements.popper,\n popperRect: state.rects.popper,\n gpuAcceleration: gpuAcceleration,\n isFixed: state.options.strategy === 'fixed'\n };\n\n if (state.modifiersData.popperOffsets != null) {\n state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.popperOffsets,\n position: state.options.strategy,\n adaptive: adaptive,\n roundOffsets: roundOffsets\n })));\n }\n\n if (state.modifiersData.arrow != null) {\n state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.arrow,\n position: 'absolute',\n adaptive: false,\n roundOffsets: roundOffsets\n })));\n }\n\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-placement': state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'computeStyles',\n enabled: true,\n phase: 'beforeWrite',\n fn: computeStyles,\n data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n passive: true\n};\n\nfunction effect(_ref) {\n var state = _ref.state,\n instance = _ref.instance,\n options = _ref.options;\n var _options$scroll = options.scroll,\n scroll = _options$scroll === void 0 ? true : _options$scroll,\n _options$resize = options.resize,\n resize = _options$resize === void 0 ? true : _options$resize;\n var window = getWindow(state.elements.popper);\n var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.addEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.addEventListener('resize', instance.update, passive);\n }\n\n return function () {\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.removeEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.removeEventListener('resize', instance.update, passive);\n }\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'eventListeners',\n enabled: true,\n phase: 'write',\n fn: function fn() {},\n effect: effect,\n data: {}\n};","var hash = {\n left: 'right',\n right: 'left',\n bottom: 'top',\n top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n return placement.replace(/left|right|bottom|top/g, function (matched) {\n return hash[matched];\n });\n}","var hash = {\n start: 'end',\n end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n return placement.replace(/start|end/g, function (matched) {\n return hash[matched];\n });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n var win = getWindow(node);\n var scrollLeft = win.pageXOffset;\n var scrollTop = win.pageYOffset;\n return {\n scrollLeft: scrollLeft,\n scrollTop: scrollTop\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n // If <html> has a CSS width greater than the viewport, then this will be\n // incorrect for RTL.\n // Popper 1 is broken in this case and never had a bug report so let's assume\n // it's not an issue. I don't think anyone ever specifies width on <html>\n // anyway.\n // Browsers where the left scrollbar doesn't cause an issue report `0` for\n // this (e.g. Edge 2019, IE11, Safari)\n return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n // Firefox wants us to check `-x` and `-y` variations as well\n var _getComputedStyle = getComputedStyle(element),\n overflow = _getComputedStyle.overflow,\n overflowX = _getComputedStyle.overflowX,\n overflowY = _getComputedStyle.overflowY;\n\n return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return node.ownerDocument.body;\n }\n\n if (isHTMLElement(node) && isScrollParent(node)) {\n return node;\n }\n\n return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n var _element$ownerDocumen;\n\n if (list === void 0) {\n list = [];\n }\n\n var scrollParent = getScrollParent(element);\n var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n var win = getWindow(scrollParent);\n var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n var updatedList = list.concat(target);\n return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n return Object.assign({}, rect, {\n left: rect.x,\n top: rect.y,\n right: rect.x + rect.width,\n bottom: rect.y + rect.height\n });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n rect.top = rect.top + element.clientTop;\n rect.left = rect.left + element.clientLeft;\n rect.bottom = rect.top + element.clientHeight;\n rect.right = rect.left + element.clientWidth;\n rect.width = element.clientWidth;\n rect.height = element.clientHeight;\n rect.x = rect.left;\n rect.y = rect.top;\n return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n var clippingParents = listScrollParents(getParentNode(element));\n var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n if (!isElement(clipperElement)) {\n return [];\n } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n return clippingParents.filter(function (clippingParent) {\n return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n var firstClippingParent = clippingParents[0];\n var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n accRect.top = max(rect.top, accRect.top);\n accRect.right = min(rect.right, accRect.right);\n accRect.bottom = min(rect.bottom, accRect.bottom);\n accRect.left = max(rect.left, accRect.left);\n return accRect;\n }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n clippingRect.width = clippingRect.right - clippingRect.left;\n clippingRect.height = clippingRect.bottom - clippingRect.top;\n clippingRect.x = clippingRect.left;\n clippingRect.y = clippingRect.top;\n return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n var win = getWindow(element);\n var html = getDocumentElement(element);\n var visualViewport = win.visualViewport;\n var width = html.clientWidth;\n var height = html.clientHeight;\n var x = 0;\n var y = 0;\n\n if (visualViewport) {\n width = visualViewport.width;\n height = visualViewport.height;\n var layoutViewport = isLayoutViewport();\n\n if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n x = visualViewport.offsetLeft;\n y = visualViewport.offsetTop;\n }\n }\n\n return {\n width: width,\n height: height,\n x: x + getWindowScrollBarX(element),\n y: y\n };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n var _element$ownerDocumen;\n\n var html = getDocumentElement(element);\n var winScroll = getWindowScroll(element);\n var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n var y = -winScroll.scrollTop;\n\n if (getComputedStyle(body || html).direction === 'rtl') {\n x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n }\n\n return {\n width: width,\n height: height,\n x: x,\n y: y\n };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n var reference = _ref.reference,\n element = _ref.element,\n placement = _ref.placement;\n var basePlacement = placement ? getBasePlacement(placement) : null;\n var variation = placement ? getVariation(placement) : null;\n var commonX = reference.x + reference.width / 2 - element.width / 2;\n var commonY = reference.y + reference.height / 2 - element.height / 2;\n var offsets;\n\n switch (basePlacement) {\n case top:\n offsets = {\n x: commonX,\n y: reference.y - element.height\n };\n break;\n\n case bottom:\n offsets = {\n x: commonX,\n y: reference.y + reference.height\n };\n break;\n\n case right:\n offsets = {\n x: reference.x + reference.width,\n y: commonY\n };\n break;\n\n case left:\n offsets = {\n x: reference.x - element.width,\n y: commonY\n };\n break;\n\n default:\n offsets = {\n x: reference.x,\n y: reference.y\n };\n }\n\n var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n if (mainAxis != null) {\n var len = mainAxis === 'y' ? 'height' : 'width';\n\n switch (variation) {\n case start:\n offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n break;\n\n case end:\n offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n break;\n\n default:\n }\n }\n\n return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n _options$placement = _options.placement,\n placement = _options$placement === void 0 ? state.placement : _options$placement,\n _options$strategy = _options.strategy,\n strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n _options$boundary = _options.boundary,\n boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n _options$rootBoundary = _options.rootBoundary,\n rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n _options$elementConte = _options.elementContext,\n elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n _options$altBoundary = _options.altBoundary,\n altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n _options$padding = _options.padding,\n padding = _options$padding === void 0 ? 0 : _options$padding;\n var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n var altContext = elementContext === popper ? reference : popper;\n var popperRect = state.rects.popper;\n var element = state.elements[altBoundary ? altContext : elementContext];\n var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n var referenceClientRect = getBoundingClientRect(state.elements.reference);\n var popperOffsets = computeOffsets({\n reference: referenceClientRect,\n element: popperRect,\n strategy: 'absolute',\n placement: placement\n });\n var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n // 0 or negative = within the clipping rect\n\n var overflowOffsets = {\n top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n };\n var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n if (elementContext === popper && offsetData) {\n var offset = offsetData[placement];\n Object.keys(overflowOffsets).forEach(function (key) {\n var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n overflowOffsets[key] += offset[axis] * multiply;\n });\n }\n\n return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n if (getBasePlacement(placement) === auto) {\n return [];\n }\n\n var oppositePlacement = getOppositePlacement(placement);\n return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n\n if (state.modifiersData[name]._skip) {\n return;\n }\n\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n specifiedFallbackPlacements = options.fallbackPlacements,\n padding = options.padding,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n _options$flipVariatio = options.flipVariations,\n flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n allowedAutoPlacements = options.allowedAutoPlacements;\n var preferredPlacement = state.options.placement;\n var basePlacement = getBasePlacement(preferredPlacement);\n var isBasePlacement = basePlacement === preferredPlacement;\n var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n flipVariations: flipVariations,\n allowedAutoPlacements: allowedAutoPlacements\n }) : placement);\n }, []);\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var checksMap = new Map();\n var makeFallbackChecks = true;\n var firstFittingPlacement = placements[0];\n\n for (var i = 0; i < placements.length; i++) {\n var placement = placements[i];\n\n var _basePlacement = getBasePlacement(placement);\n\n var isStartVariation = getVariation(placement) === start;\n var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n var len = isVertical ? 'width' : 'height';\n var overflow = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n altBoundary: altBoundary,\n padding: padding\n });\n var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n if (referenceRect[len] > popperRect[len]) {\n mainVariationSide = getOppositePlacement(mainVariationSide);\n }\n\n var altVariationSide = getOppositePlacement(mainVariationSide);\n var checks = [];\n\n if (checkMainAxis) {\n checks.push(overflow[_basePlacement] <= 0);\n }\n\n if (checkAltAxis) {\n checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n }\n\n if (checks.every(function (check) {\n return check;\n })) {\n firstFittingPlacement = placement;\n makeFallbackChecks = false;\n break;\n }\n\n checksMap.set(placement, checks);\n }\n\n if (makeFallbackChecks) {\n // `2` may be desired in some cases – research later\n var numberOfChecks = flipVariations ? 3 : 1;\n\n var _loop = function _loop(_i) {\n var fittingPlacement = placements.find(function (placement) {\n var checks = checksMap.get(placement);\n\n if (checks) {\n return checks.slice(0, _i).every(function (check) {\n return check;\n });\n }\n });\n\n if (fittingPlacement) {\n firstFittingPlacement = fittingPlacement;\n return \"break\";\n }\n };\n\n for (var _i = numberOfChecks; _i > 0; _i--) {\n var _ret = _loop(_i);\n\n if (_ret === \"break\") break;\n }\n }\n\n if (state.placement !== firstFittingPlacement) {\n state.modifiersData[name]._skip = true;\n state.placement = firstFittingPlacement;\n state.reset = true;\n }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'flip',\n enabled: true,\n phase: 'main',\n fn: flip,\n requiresIfExists: ['offset'],\n data: {\n _skip: false\n }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n placement = _options.placement,\n boundary = _options.boundary,\n rootBoundary = _options.rootBoundary,\n padding = _options.padding,\n flipVariations = _options.flipVariations,\n _options$allowedAutoP = _options.allowedAutoPlacements,\n allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n var variation = getVariation(placement);\n var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n return getVariation(placement) === variation;\n }) : basePlacements;\n var allowedPlacements = placements.filter(function (placement) {\n return allowedAutoPlacements.indexOf(placement) >= 0;\n });\n\n if (allowedPlacements.length === 0) {\n allowedPlacements = placements;\n\n if (process.env.NODE_ENV !== \"production\") {\n console.error(['Popper: The `allowedAutoPlacements` option did not allow any', 'placements. Ensure the `placement` option matches the variation', 'of the allowed placements.', 'For example, \"auto\" cannot be used to allow \"bottom-start\".', 'Use \"auto-start\" instead.'].join(' '));\n }\n } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n var overflows = allowedPlacements.reduce(function (acc, placement) {\n acc[placement] = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding\n })[getBasePlacement(placement)];\n return acc;\n }, {});\n return Object.keys(overflows).sort(function (a, b) {\n return overflows[a] - overflows[b];\n });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n if (preventedOffsets === void 0) {\n preventedOffsets = {\n x: 0,\n y: 0\n };\n }\n\n return {\n top: overflow.top - rect.height - preventedOffsets.y,\n right: overflow.right - rect.width + preventedOffsets.x,\n bottom: overflow.bottom - rect.height + preventedOffsets.y,\n left: overflow.left - rect.width - preventedOffsets.x\n };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n return [top, right, bottom, left].some(function (side) {\n return overflow[side] >= 0;\n });\n}\n\nfunction hide(_ref) {\n var state = _ref.state,\n name = _ref.name;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var preventedOffsets = state.modifiersData.preventOverflow;\n var referenceOverflow = detectOverflow(state, {\n elementContext: 'reference'\n });\n var popperAltOverflow = detectOverflow(state, {\n altBoundary: true\n });\n var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n state.modifiersData[name] = {\n referenceClippingOffsets: referenceClippingOffsets,\n popperEscapeOffsets: popperEscapeOffsets,\n isReferenceHidden: isReferenceHidden,\n hasPopperEscaped: hasPopperEscaped\n };\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-reference-hidden': isReferenceHidden,\n 'data-popper-escaped': hasPopperEscaped\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'hide',\n enabled: true,\n phase: 'main',\n requiresIfExists: ['preventOverflow'],\n fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n var basePlacement = getBasePlacement(placement);\n var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n placement: placement\n })) : offset,\n skidding = _ref[0],\n distance = _ref[1];\n\n skidding = skidding || 0;\n distance = (distance || 0) * invertDistance;\n return [left, right].indexOf(basePlacement) >= 0 ? {\n x: distance,\n y: skidding\n } : {\n x: skidding,\n y: distance\n };\n}\n\nfunction offset(_ref2) {\n var state = _ref2.state,\n options = _ref2.options,\n name = _ref2.name;\n var _options$offset = options.offset,\n offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n var data = placements.reduce(function (acc, placement) {\n acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n return acc;\n }, {});\n var _data$state$placement = data[state.placement],\n x = _data$state$placement.x,\n y = _data$state$placement.y;\n\n if (state.modifiersData.popperOffsets != null) {\n state.modifiersData.popperOffsets.x += x;\n state.modifiersData.popperOffsets.y += y;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'offset',\n enabled: true,\n phase: 'main',\n requires: ['popperOffsets'],\n fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n var state = _ref.state,\n name = _ref.name;\n // Offsets are the actual position the popper needs to have to be\n // properly positioned near its reference element\n // This is the most basic placement, and will be adjusted by\n // the modifiers in the next step\n state.modifiersData[name] = computeOffsets({\n reference: state.rects.reference,\n element: state.rects.popper,\n strategy: 'absolute',\n placement: state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'popperOffsets',\n enabled: true,\n phase: 'read',\n fn: popperOffsets,\n data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n padding = options.padding,\n _options$tether = options.tether,\n tether = _options$tether === void 0 ? true : _options$tether,\n _options$tetherOffset = options.tetherOffset,\n tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n var overflow = detectOverflow(state, {\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n altBoundary: altBoundary\n });\n var basePlacement = getBasePlacement(state.placement);\n var variation = getVariation(state.placement);\n var isBasePlacement = !variation;\n var mainAxis = getMainAxisFromPlacement(basePlacement);\n var altAxis = getAltAxis(mainAxis);\n var popperOffsets = state.modifiersData.popperOffsets;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n placement: state.placement\n })) : tetherOffset;\n var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n mainAxis: tetherOffsetValue,\n altAxis: tetherOffsetValue\n } : Object.assign({\n mainAxis: 0,\n altAxis: 0\n }, tetherOffsetValue);\n var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n var data = {\n x: 0,\n y: 0\n };\n\n if (!popperOffsets) {\n return;\n }\n\n if (checkMainAxis) {\n var _offsetModifierState$;\n\n var mainSide = mainAxis === 'y' ? top : left;\n var altSide = mainAxis === 'y' ? bottom : right;\n var len = mainAxis === 'y' ? 'height' : 'width';\n var offset = popperOffsets[mainAxis];\n var min = offset + overflow[mainSide];\n var max = offset - overflow[altSide];\n var additive = tether ? -popperRect[len] / 2 : 0;\n var minLen = variation === start ? referenceRect[len] : popperRect[len];\n var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n // outside the reference bounds\n\n var arrowElement = state.elements.arrow;\n var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n width: 0,\n height: 0\n };\n var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n var arrowPaddingMin = arrowPaddingObject[mainSide];\n var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n // to include its full size in the calculation. If the reference is small\n // and near the edge of a boundary, the popper can overflow even if the\n // reference is not overflowing as well (e.g. virtual elements with no\n // width or height)\n\n var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n var tetherMax = offset + maxOffset - offsetModifierValue;\n var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n popperOffsets[mainAxis] = preventedOffset;\n data[mainAxis] = preventedOffset - offset;\n }\n\n if (checkAltAxis) {\n var _offsetModifierState$2;\n\n var _mainSide = mainAxis === 'x' ? top : left;\n\n var _altSide = mainAxis === 'x' ? bottom : right;\n\n var _offset = popperOffsets[altAxis];\n\n var _len = altAxis === 'y' ? 'height' : 'width';\n\n var _min = _offset + overflow[_mainSide];\n\n var _max = _offset - overflow[_altSide];\n\n var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n popperOffsets[altAxis] = _preventedOffset;\n data[altAxis] = _preventedOffset - _offset;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'preventOverflow',\n enabled: true,\n phase: 'main',\n fn: preventOverflow,\n requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n var rect = element.getBoundingClientRect();\n var scaleX = round(rect.width) / element.offsetWidth || 1;\n var scaleY = round(rect.height) / element.offsetHeight || 1;\n return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n if (isFixed === void 0) {\n isFixed = false;\n }\n\n var isOffsetParentAnElement = isHTMLElement(offsetParent);\n var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n var documentElement = getDocumentElement(offsetParent);\n var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n var scroll = {\n scrollLeft: 0,\n scrollTop: 0\n };\n var offsets = {\n x: 0,\n y: 0\n };\n\n if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n isScrollParent(documentElement)) {\n scroll = getNodeScroll(offsetParent);\n }\n\n if (isHTMLElement(offsetParent)) {\n offsets = getBoundingClientRect(offsetParent, true);\n offsets.x += offsetParent.clientLeft;\n offsets.y += offsetParent.clientTop;\n } else if (documentElement) {\n offsets.x = getWindowScrollBarX(documentElement);\n }\n }\n\n return {\n x: rect.left + scroll.scrollLeft - offsets.x,\n y: rect.top + scroll.scrollTop - offsets.y,\n width: rect.width,\n height: rect.height\n };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n if (node === getWindow(node) || !isHTMLElement(node)) {\n return getWindowScroll(node);\n } else {\n return getHTMLElementScroll(node);\n }\n}","export default function getHTMLElementScroll(element) {\n return {\n scrollLeft: element.scrollLeft,\n scrollTop: element.scrollTop\n };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n var map = new Map();\n var visited = new Set();\n var result = [];\n modifiers.forEach(function (modifier) {\n map.set(modifier.name, modifier);\n }); // On visiting object, check for its dependencies and visit them recursively\n\n function sort(modifier) {\n visited.add(modifier.name);\n var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n requires.forEach(function (dep) {\n if (!visited.has(dep)) {\n var depModifier = map.get(dep);\n\n if (depModifier) {\n sort(depModifier);\n }\n }\n });\n result.push(modifier);\n }\n\n modifiers.forEach(function (modifier) {\n if (!visited.has(modifier.name)) {\n // check for visited object\n sort(modifier);\n }\n });\n return result;\n}\n\nexport default function orderModifiers(modifiers) {\n // order based on dependencies\n var orderedModifiers = order(modifiers); // order based on phase\n\n return modifierPhases.reduce(function (acc, phase) {\n return acc.concat(orderedModifiers.filter(function (modifier) {\n return modifier.phase === phase;\n }));\n }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport getComputedStyle from \"./dom-utils/getComputedStyle.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport validateModifiers from \"./utils/validateModifiers.js\";\nimport uniqueBy from \"./utils/uniqueBy.js\";\nimport getBasePlacement from \"./utils/getBasePlacement.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nimport { auto } from \"./enums.js\";\nvar INVALID_ELEMENT_ERROR = 'Popper: Invalid reference or popper argument provided. They must be either a DOM element or virtual element.';\nvar INFINITE_LOOP_ERROR = 'Popper: An infinite loop in the modifiers cycle has been detected! The cycle has been interrupted to prevent a browser crash.';\nvar DEFAULT_OPTIONS = {\n placement: 'bottom',\n modifiers: [],\n strategy: 'absolute'\n};\n\nfunction areValidElements() {\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n return !args.some(function (element) {\n return !(element && typeof element.getBoundingClientRect === 'function');\n });\n}\n\nexport function popperGenerator(generatorOptions) {\n if (generatorOptions === void 0) {\n generatorOptions = {};\n }\n\n var _generatorOptions = generatorOptions,\n _generatorOptions$def = _generatorOptions.defaultModifiers,\n defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n _generatorOptions$def2 = _generatorOptions.defaultOptions,\n defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n return function createPopper(reference, popper, options) {\n if (options === void 0) {\n options = defaultOptions;\n }\n\n var state = {\n placement: 'bottom',\n orderedModifiers: [],\n options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n modifiersData: {},\n elements: {\n reference: reference,\n popper: popper\n },\n attributes: {},\n styles: {}\n };\n var effectCleanupFns = [];\n var isDestroyed = false;\n var instance = {\n state: state,\n setOptions: function setOptions(setOptionsAction) {\n var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n cleanupModifierEffects();\n state.options = Object.assign({}, defaultOptions, state.options, options);\n state.scrollParents = {\n reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n popper: listScrollParents(popper)\n }; // Orders the modifiers based on their dependencies and `phase`\n // properties\n\n var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n state.orderedModifiers = orderedModifiers.filter(function (m) {\n return m.enabled;\n }); // Validate the provided modifiers so that the consumer will get warned\n // if one of the modifiers is invalid for any reason\n\n if (process.env.NODE_ENV !== \"production\") {\n var modifiers = uniqueBy([].concat(orderedModifiers, state.options.modifiers), function (_ref) {\n var name = _ref.name;\n return name;\n });\n validateModifiers(modifiers);\n\n if (getBasePlacement(state.options.placement) === auto) {\n var flipModifier = state.orderedModifiers.find(function (_ref2) {\n var name = _ref2.name;\n return name === 'flip';\n });\n\n if (!flipModifier) {\n console.error(['Popper: \"auto\" placements require the \"flip\" modifier be', 'present and enabled to work.'].join(' '));\n }\n }\n\n var _getComputedStyle = getComputedStyle(popper),\n marginTop = _getComputedStyle.marginTop,\n marginRight = _getComputedStyle.marginRight,\n marginBottom = _getComputedStyle.marginBottom,\n marginLeft = _getComputedStyle.marginLeft; // We no longer take into account `margins` on the popper, and it can\n // cause bugs with positioning, so we'll warn the consumer\n\n\n if ([marginTop, marginRight, marginBottom, marginLeft].some(function (margin) {\n return parseFloat(margin);\n })) {\n console.warn(['Popper: CSS \"margin\" styles cannot be used to apply padding', 'between the popper and its reference element or boundary.', 'To replicate margin, use the `offset` modifier, as well as', 'the `padding` option in the `preventOverflow` and `flip`', 'modifiers.'].join(' '));\n }\n }\n\n runModifierEffects();\n return instance.update();\n },\n // Sync update – it will always be executed, even if not necessary. This\n // is useful for low frequency updates where sync behavior simplifies the\n // logic.\n // For high frequency updates (e.g. `resize` and `scroll` events), always\n // prefer the async Popper#update method\n forceUpdate: function forceUpdate() {\n if (isDestroyed) {\n return;\n }\n\n var _state$elements = state.elements,\n reference = _state$elements.reference,\n popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n // anymore\n\n if (!areValidElements(reference, popper)) {\n if (process.env.NODE_ENV !== \"production\") {\n console.error(INVALID_ELEMENT_ERROR);\n }\n\n return;\n } // Store the reference and popper rects to be read by modifiers\n\n\n state.rects = {\n reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n popper: getLayoutRect(popper)\n }; // Modifiers have the ability to reset the current update cycle. The\n // most common use case for this is the `flip` modifier changing the\n // placement, which then needs to re-run all the modifiers, because the\n // logic was previously ran for the previous placement and is therefore\n // stale/incorrect\n\n state.reset = false;\n state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n // is filled with the initial data specified by the modifier. This means\n // it doesn't persist and is fresh on each update.\n // To ensure persistent data, use `${name}#persistent`\n\n state.orderedModifiers.forEach(function (modifier) {\n return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n });\n var __debug_loops__ = 0;\n\n for (var index = 0; index < state.orderedModifiers.length; index++) {\n if (process.env.NODE_ENV !== \"production\") {\n __debug_loops__ += 1;\n\n if (__debug_loops__ > 100) {\n console.error(INFINITE_LOOP_ERROR);\n break;\n }\n }\n\n if (state.reset === true) {\n state.reset = false;\n index = -1;\n continue;\n }\n\n var _state$orderedModifie = state.orderedModifiers[index],\n fn = _state$orderedModifie.fn,\n _state$orderedModifie2 = _state$orderedModifie.options,\n _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n name = _state$orderedModifie.name;\n\n if (typeof fn === 'function') {\n state = fn({\n state: state,\n options: _options,\n name: name,\n instance: instance\n }) || state;\n }\n }\n },\n // Async and optimistically optimized update – it will not be executed if\n // not necessary (debounced to run at most once-per-tick)\n update: debounce(function () {\n return new Promise(function (resolve) {\n instance.forceUpdate();\n resolve(state);\n });\n }),\n destroy: function destroy() {\n cleanupModifierEffects();\n isDestroyed = true;\n }\n };\n\n if (!areValidElements(reference, popper)) {\n if (process.env.NODE_ENV !== \"production\") {\n console.error(INVALID_ELEMENT_ERROR);\n }\n\n return instance;\n }\n\n instance.setOptions(options).then(function (state) {\n if (!isDestroyed && options.onFirstUpdate) {\n options.onFirstUpdate(state);\n }\n }); // Modifiers have the ability to execute arbitrary code before the first\n // update cycle runs. They will be executed in the same order as the update\n // cycle. This is useful when a modifier adds some persistent data that\n // other modifiers need to use, but the modifier is run after the dependent\n // one.\n\n function runModifierEffects() {\n state.orderedModifiers.forEach(function (_ref3) {\n var name = _ref3.name,\n _ref3$options = _ref3.options,\n options = _ref3$options === void 0 ? {} : _ref3$options,\n effect = _ref3.effect;\n\n if (typeof effect === 'function') {\n var cleanupFn = effect({\n state: state,\n name: name,\n instance: instance,\n options: options\n });\n\n var noopFn = function noopFn() {};\n\n effectCleanupFns.push(cleanupFn || noopFn);\n }\n });\n }\n\n function cleanupModifierEffects() {\n effectCleanupFns.forEach(function (fn) {\n return fn();\n });\n effectCleanupFns = [];\n }\n\n return instance;\n };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n var pending;\n return function () {\n if (!pending) {\n pending = new Promise(function (resolve) {\n Promise.resolve().then(function () {\n pending = undefined;\n resolve(fn());\n });\n });\n }\n\n return pending;\n };\n}","export default function mergeByName(modifiers) {\n var merged = modifiers.reduce(function (merged, current) {\n var existing = merged[current.name];\n merged[current.name] = existing ? Object.assign({}, existing, current, {\n options: Object.assign({}, existing.options, current.options),\n data: Object.assign({}, existing.data, current.data)\n }) : current;\n return merged;\n }, {}); // IE11 does not support Object.values\n\n return Object.keys(merged).map(function (key) {\n return merged[key];\n });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n * Bootstrap v5.2.3 (https://getbootstrap.com/)\n * Copyright 2011-2022 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend'; // Shout-out Angus Croll (https://goo.gl/pxwQGp)\n\nconst toType = object => {\n if (object === null || object === undefined) {\n return `${object}`;\n }\n\n return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n/**\n * Public Util API\n */\n\n\nconst getUID = prefix => {\n do {\n prefix += Math.floor(Math.random() * MAX_UID);\n } while (document.getElementById(prefix));\n\n return prefix;\n};\n\nconst getSelector = element => {\n let selector = element.getAttribute('data-bs-target');\n\n if (!selector || selector === '#') {\n let hrefAttribute = element.getAttribute('href'); // The only valid content that could double as a selector are IDs or classes,\n // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n // `document.querySelector` will rightfully complain it is invalid.\n // See https://github.com/twbs/bootstrap/issues/32273\n\n if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n return null;\n } // Just in case some CMS puts out a full URL with the anchor appended\n\n\n if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n }\n\n selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null;\n }\n\n return selector;\n};\n\nconst getSelectorFromElement = element => {\n const selector = getSelector(element);\n\n if (selector) {\n return document.querySelector(selector) ? selector : null;\n }\n\n return null;\n};\n\nconst getElementFromSelector = element => {\n const selector = getSelector(element);\n return selector ? document.querySelector(selector) : null;\n};\n\nconst getTransitionDurationFromElement = element => {\n if (!element) {\n return 0;\n } // Get transition-duration of the element\n\n\n let {\n transitionDuration,\n transitionDelay\n } = window.getComputedStyle(element);\n const floatTransitionDuration = Number.parseFloat(transitionDuration);\n const floatTransitionDelay = Number.parseFloat(transitionDelay); // Return 0 if element or transition duration is not found\n\n if (!floatTransitionDuration && !floatTransitionDelay) {\n return 0;\n } // If multiple durations are defined, take the first\n\n\n transitionDuration = transitionDuration.split(',')[0];\n transitionDelay = transitionDelay.split(',')[0];\n return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\n\nconst triggerTransitionEnd = element => {\n element.dispatchEvent(new Event(TRANSITION_END));\n};\n\nconst isElement = object => {\n if (!object || typeof object !== 'object') {\n return false;\n }\n\n if (typeof object.jquery !== 'undefined') {\n object = object[0];\n }\n\n return typeof object.nodeType !== 'undefined';\n};\n\nconst getElement = object => {\n // it's a jQuery object or a node element\n if (isElement(object)) {\n return object.jquery ? object[0] : object;\n }\n\n if (typeof object === 'string' && object.length > 0) {\n return document.querySelector(object);\n }\n\n return null;\n};\n\nconst isVisible = element => {\n if (!isElement(element) || element.getClientRects().length === 0) {\n return false;\n }\n\n const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'; // Handle `details` element as its content may falsie appear visible when it is closed\n\n const closedDetails = element.closest('details:not([open])');\n\n if (!closedDetails) {\n return elementIsVisible;\n }\n\n if (closedDetails !== element) {\n const summary = element.closest('summary');\n\n if (summary && summary.parentNode !== closedDetails) {\n return false;\n }\n\n if (summary === null) {\n return false;\n }\n }\n\n return elementIsVisible;\n};\n\nconst isDisabled = element => {\n if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n return true;\n }\n\n if (element.classList.contains('disabled')) {\n return true;\n }\n\n if (typeof element.disabled !== 'undefined') {\n return element.disabled;\n }\n\n return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\n\nconst findShadowRoot = element => {\n if (!document.documentElement.attachShadow) {\n return null;\n } // Can find the shadow root otherwise it'll return the document\n\n\n if (typeof element.getRootNode === 'function') {\n const root = element.getRootNode();\n return root instanceof ShadowRoot ? root : null;\n }\n\n if (element instanceof ShadowRoot) {\n return element;\n } // when we don't find a shadow root\n\n\n if (!element.parentNode) {\n return null;\n }\n\n return findShadowRoot(element.parentNode);\n};\n\nconst noop = () => {};\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\n\n\nconst reflow = element => {\n element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\n\nconst getjQuery = () => {\n if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n return window.jQuery;\n }\n\n return null;\n};\n\nconst DOMContentLoadedCallbacks = [];\n\nconst onDOMContentLoaded = callback => {\n if (document.readyState === 'loading') {\n // add listener on the first call when the document is in loading state\n if (!DOMContentLoadedCallbacks.length) {\n document.addEventListener('DOMContentLoaded', () => {\n for (const callback of DOMContentLoadedCallbacks) {\n callback();\n }\n });\n }\n\n DOMContentLoadedCallbacks.push(callback);\n } else {\n callback();\n }\n};\n\nconst isRTL = () => document.documentElement.dir === 'rtl';\n\nconst defineJQueryPlugin = plugin => {\n onDOMContentLoaded(() => {\n const $ = getjQuery();\n /* istanbul ignore if */\n\n if ($) {\n const name = plugin.NAME;\n const JQUERY_NO_CONFLICT = $.fn[name];\n $.fn[name] = plugin.jQueryInterface;\n $.fn[name].Constructor = plugin;\n\n $.fn[name].noConflict = () => {\n $.fn[name] = JQUERY_NO_CONFLICT;\n return plugin.jQueryInterface;\n };\n }\n });\n};\n\nconst execute = callback => {\n if (typeof callback === 'function') {\n callback();\n }\n};\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n if (!waitForTransition) {\n execute(callback);\n return;\n }\n\n const durationPadding = 5;\n const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n let called = false;\n\n const handler = ({\n target\n }) => {\n if (target !== transitionElement) {\n return;\n }\n\n called = true;\n transitionElement.removeEventListener(TRANSITION_END, handler);\n execute(callback);\n };\n\n transitionElement.addEventListener(TRANSITION_END, handler);\n setTimeout(() => {\n if (!called) {\n triggerTransitionEnd(transitionElement);\n }\n }, emulatedDuration);\n};\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list The list of elements\n * @param activeElement The active element\n * @param shouldGetNext Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\n\n\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n const listLength = list.length;\n let index = list.indexOf(activeElement); // if the element does not exist in the list return an element\n // depending on the direction and if cycle is allowed\n\n if (index === -1) {\n return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n }\n\n index += shouldGetNext ? 1 : -1;\n\n if (isCycleAllowed) {\n index = (index + listLength) % listLength;\n }\n\n return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\n\nlet uidEvent = 1;\nconst customEvents = {\n mouseenter: 'mouseover',\n mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\n\nfunction getElementEvents(element) {\n const uid = makeEventUid(element);\n element.uidEvent = uid;\n eventRegistry[uid] = eventRegistry[uid] || {};\n return eventRegistry[uid];\n}\n\nfunction bootstrapHandler(element, fn) {\n return function handler(event) {\n hydrateObj(event, {\n delegateTarget: element\n });\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, fn);\n }\n\n return fn.apply(element, [event]);\n };\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n return function handler(event) {\n const domElements = element.querySelectorAll(selector);\n\n for (let {\n target\n } = event; target && target !== this; target = target.parentNode) {\n for (const domElement of domElements) {\n if (domElement !== target) {\n continue;\n }\n\n hydrateObj(event, {\n delegateTarget: target\n });\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, selector, fn);\n }\n\n return fn.apply(target, [event]);\n }\n }\n };\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n const isDelegated = typeof handler === 'string'; // todo: tooltip passes `false` instead of selector, so we need to check\n\n const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n let typeEvent = getTypeEvent(originalTypeEvent);\n\n if (!nativeEvents.has(typeEvent)) {\n typeEvent = originalTypeEvent;\n }\n\n return [isDelegated, callable, typeEvent];\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return;\n }\n\n let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction); // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n\n if (originalTypeEvent in customEvents) {\n const wrapFunction = fn => {\n return function (event) {\n if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n return fn.call(this, event);\n }\n };\n };\n\n callable = wrapFunction(callable);\n }\n\n const events = getElementEvents(element);\n const handlers = events[typeEvent] || (events[typeEvent] = {});\n const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n\n if (previousFunction) {\n previousFunction.oneOff = previousFunction.oneOff && oneOff;\n return;\n }\n\n const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n fn.delegationSelector = isDelegated ? handler : null;\n fn.callable = callable;\n fn.oneOff = oneOff;\n fn.uidEvent = uid;\n handlers[uid] = fn;\n element.addEventListener(typeEvent, fn, isDelegated);\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n const fn = findHandler(events[typeEvent], handler, delegationSelector);\n\n if (!fn) {\n return;\n }\n\n element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n delete events[typeEvent][fn.uidEvent];\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n const storeElementEvent = events[typeEvent] || {};\n\n for (const handlerKey of Object.keys(storeElementEvent)) {\n if (handlerKey.includes(namespace)) {\n const event = storeElementEvent[handlerKey];\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n }\n }\n}\n\nfunction getTypeEvent(event) {\n // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n event = event.replace(stripNameRegex, '');\n return customEvents[event] || event;\n}\n\nconst EventHandler = {\n on(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, false);\n },\n\n one(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, true);\n },\n\n off(element, originalTypeEvent, handler, delegationFunction) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return;\n }\n\n const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n const inNamespace = typeEvent !== originalTypeEvent;\n const events = getElementEvents(element);\n const storeElementEvent = events[typeEvent] || {};\n const isNamespace = originalTypeEvent.startsWith('.');\n\n if (typeof callable !== 'undefined') {\n // Simplest case: handler is passed, remove that listener ONLY.\n if (!Object.keys(storeElementEvent).length) {\n return;\n }\n\n removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n return;\n }\n\n if (isNamespace) {\n for (const elementEvent of Object.keys(events)) {\n removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n }\n }\n\n for (const keyHandlers of Object.keys(storeElementEvent)) {\n const handlerKey = keyHandlers.replace(stripUidRegex, '');\n\n if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n const event = storeElementEvent[keyHandlers];\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n }\n }\n },\n\n trigger(element, event, args) {\n if (typeof event !== 'string' || !element) {\n return null;\n }\n\n const $ = getjQuery();\n const typeEvent = getTypeEvent(event);\n const inNamespace = event !== typeEvent;\n let jQueryEvent = null;\n let bubbles = true;\n let nativeDispatch = true;\n let defaultPrevented = false;\n\n if (inNamespace && $) {\n jQueryEvent = $.Event(event, args);\n $(element).trigger(jQueryEvent);\n bubbles = !jQueryEvent.isPropagationStopped();\n nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n defaultPrevented = jQueryEvent.isDefaultPrevented();\n }\n\n let evt = new Event(event, {\n bubbles,\n cancelable: true\n });\n evt = hydrateObj(evt, args);\n\n if (defaultPrevented) {\n evt.preventDefault();\n }\n\n if (nativeDispatch) {\n element.dispatchEvent(evt);\n }\n\n if (evt.defaultPrevented && jQueryEvent) {\n jQueryEvent.preventDefault();\n }\n\n return evt;\n }\n\n};\n\nfunction hydrateObj(obj, meta) {\n for (const [key, value] of Object.entries(meta || {})) {\n try {\n obj[key] = value;\n } catch (_unused) {\n Object.defineProperty(obj, key, {\n configurable: true,\n\n get() {\n return value;\n }\n\n });\n }\n }\n\n return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\nconst elementMap = new Map();\nconst Data = {\n set(element, key, instance) {\n if (!elementMap.has(element)) {\n elementMap.set(element, new Map());\n }\n\n const instanceMap = elementMap.get(element); // make it clear we only want one instance per element\n // can be removed later when multiple key/instances are fine to be used\n\n if (!instanceMap.has(key) && instanceMap.size !== 0) {\n // eslint-disable-next-line no-console\n console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n return;\n }\n\n instanceMap.set(key, instance);\n },\n\n get(element, key) {\n if (elementMap.has(element)) {\n return elementMap.get(element).get(key) || null;\n }\n\n return null;\n },\n\n remove(element, key) {\n if (!elementMap.has(element)) {\n return;\n }\n\n const instanceMap = elementMap.get(element);\n instanceMap.delete(key); // free up element references if there are no instances left for an element\n\n if (instanceMap.size === 0) {\n elementMap.delete(element);\n }\n }\n\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\nfunction normalizeData(value) {\n if (value === 'true') {\n return true;\n }\n\n if (value === 'false') {\n return false;\n }\n\n if (value === Number(value).toString()) {\n return Number(value);\n }\n\n if (value === '' || value === 'null') {\n return null;\n }\n\n if (typeof value !== 'string') {\n return value;\n }\n\n try {\n return JSON.parse(decodeURIComponent(value));\n } catch (_unused) {\n return value;\n }\n}\n\nfunction normalizeDataKey(key) {\n return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\n\nconst Manipulator = {\n setDataAttribute(element, key, value) {\n element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n },\n\n removeDataAttribute(element, key) {\n element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n },\n\n getDataAttributes(element) {\n if (!element) {\n return {};\n }\n\n const attributes = {};\n const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n\n for (const key of bsKeys) {\n let pureKey = key.replace(/^bs/, '');\n pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n attributes[pureKey] = normalizeData(element.dataset[key]);\n }\n\n return attributes;\n },\n\n getDataAttribute(element, key) {\n return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n }\n\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Class definition\n */\n\nclass Config {\n // Getters\n static get Default() {\n return {};\n }\n\n static get DefaultType() {\n return {};\n }\n\n static get NAME() {\n throw new Error('You have to implement the static method \"NAME\", for each component!');\n }\n\n _getConfig(config) {\n config = this._mergeConfigObj(config);\n config = this._configAfterMerge(config);\n\n this._typeCheckConfig(config);\n\n return config;\n }\n\n _configAfterMerge(config) {\n return config;\n }\n\n _mergeConfigObj(config, element) {\n const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n return { ...this.constructor.Default,\n ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n ...(typeof config === 'object' ? config : {})\n };\n }\n\n _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n for (const property of Object.keys(configTypes)) {\n const expectedTypes = configTypes[property];\n const value = config[property];\n const valueType = isElement(value) ? 'element' : toType(value);\n\n if (!new RegExp(expectedTypes).test(valueType)) {\n throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n }\n }\n }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst VERSION = '5.2.3';\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n constructor(element, config) {\n super();\n element = getElement(element);\n\n if (!element) {\n return;\n }\n\n this._element = element;\n this._config = this._getConfig(config);\n Data.set(this._element, this.constructor.DATA_KEY, this);\n } // Public\n\n\n dispose() {\n Data.remove(this._element, this.constructor.DATA_KEY);\n EventHandler.off(this._element, this.constructor.EVENT_KEY);\n\n for (const propertyName of Object.getOwnPropertyNames(this)) {\n this[propertyName] = null;\n }\n }\n\n _queueCallback(callback, element, isAnimated = true) {\n executeAfterTransition(callback, element, isAnimated);\n }\n\n _getConfig(config) {\n config = this._mergeConfigObj(config, this._element);\n config = this._configAfterMerge(config);\n\n this._typeCheckConfig(config);\n\n return config;\n } // Static\n\n\n static getInstance(element) {\n return Data.get(getElement(element), this.DATA_KEY);\n }\n\n static getOrCreateInstance(element, config = {}) {\n return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n }\n\n static get VERSION() {\n return VERSION;\n }\n\n static get DATA_KEY() {\n return `bs.${this.NAME}`;\n }\n\n static get EVENT_KEY() {\n return `.${this.DATA_KEY}`;\n }\n\n static eventName(name) {\n return `${name}${this.EVENT_KEY}`;\n }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n const name = component.NAME;\n EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n\n if (isDisabled(this)) {\n return;\n }\n\n const target = getElementFromSelector(this) || this.closest(`.${name}`);\n const instance = component.getOrCreateInstance(target); // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n\n instance[method]();\n });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME$f;\n } // Public\n\n\n close() {\n const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n\n if (closeEvent.defaultPrevented) {\n return;\n }\n\n this._element.classList.remove(CLASS_NAME_SHOW$8);\n\n const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n\n this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n } // Private\n\n\n _destroyElement() {\n this._element.remove();\n\n EventHandler.trigger(this._element, EVENT_CLOSED);\n this.dispose();\n } // Static\n\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Alert.getOrCreateInstance(this);\n\n if (typeof config !== 'string') {\n return;\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config](this);\n });\n }\n\n}\n/**\n * Data API implementation\n */\n\n\nenableDismissTrigger(Alert, 'close');\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME$e;\n } // Public\n\n\n toggle() {\n // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n } // Static\n\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Button.getOrCreateInstance(this);\n\n if (config === 'toggle') {\n data[config]();\n }\n });\n }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n event.preventDefault();\n const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n const data = Button.getOrCreateInstance(button);\n data.toggle();\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst SelectorEngine = {\n find(selector, element = document.documentElement) {\n return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n },\n\n findOne(selector, element = document.documentElement) {\n return Element.prototype.querySelector.call(element, selector);\n },\n\n children(element, selector) {\n return [].concat(...element.children).filter(child => child.matches(selector));\n },\n\n parents(element, selector) {\n const parents = [];\n let ancestor = element.parentNode.closest(selector);\n\n while (ancestor) {\n parents.push(ancestor);\n ancestor = ancestor.parentNode.closest(selector);\n }\n\n return parents;\n },\n\n prev(element, selector) {\n let previous = element.previousElementSibling;\n\n while (previous) {\n if (previous.matches(selector)) {\n return [previous];\n }\n\n previous = previous.previousElementSibling;\n }\n\n return [];\n },\n\n // TODO: this is now unused; remove later along with prev()\n next(element, selector) {\n let next = element.nextElementSibling;\n\n while (next) {\n if (next.matches(selector)) {\n return [next];\n }\n\n next = next.nextElementSibling;\n }\n\n return [];\n },\n\n focusableChildren(element) {\n const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n }\n\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n endCallback: null,\n leftCallback: null,\n rightCallback: null\n};\nconst DefaultType$c = {\n endCallback: '(function|null)',\n leftCallback: '(function|null)',\n rightCallback: '(function|null)'\n};\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n constructor(element, config) {\n super();\n this._element = element;\n\n if (!element || !Swipe.isSupported()) {\n return;\n }\n\n this._config = this._getConfig(config);\n this._deltaX = 0;\n this._supportPointerEvents = Boolean(window.PointerEvent);\n\n this._initEvents();\n } // Getters\n\n\n static get Default() {\n return Default$c;\n }\n\n static get DefaultType() {\n return DefaultType$c;\n }\n\n static get NAME() {\n return NAME$d;\n } // Public\n\n\n dispose() {\n EventHandler.off(this._element, EVENT_KEY$9);\n } // Private\n\n\n _start(event) {\n if (!this._supportPointerEvents) {\n this._deltaX = event.touches[0].clientX;\n return;\n }\n\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX;\n }\n }\n\n _end(event) {\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX - this._deltaX;\n }\n\n this._handleSwipe();\n\n execute(this._config.endCallback);\n }\n\n _move(event) {\n this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n }\n\n _handleSwipe() {\n const absDeltaX = Math.abs(this._deltaX);\n\n if (absDeltaX <= SWIPE_THRESHOLD) {\n return;\n }\n\n const direction = absDeltaX / this._deltaX;\n this._deltaX = 0;\n\n if (!direction) {\n return;\n }\n\n execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n }\n\n _initEvents() {\n if (this._supportPointerEvents) {\n EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n\n this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n } else {\n EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n }\n }\n\n _eventIsPointerPenTouch(event) {\n return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n } // Static\n\n\n static isSupported() {\n return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n interval: 5000,\n keyboard: true,\n pause: 'hover',\n ride: false,\n touch: true,\n wrap: true\n};\nconst DefaultType$b = {\n interval: '(number|boolean)',\n // TODO:v6 remove boolean support\n keyboard: 'boolean',\n pause: '(string|boolean)',\n ride: '(boolean|string)',\n touch: 'boolean',\n wrap: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._interval = null;\n this._activeElement = null;\n this._isSliding = false;\n this.touchTimeout = null;\n this._swipeHelper = null;\n this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n\n this._addEventListeners();\n\n if (this._config.ride === CLASS_NAME_CAROUSEL) {\n this.cycle();\n }\n } // Getters\n\n\n static get Default() {\n return Default$b;\n }\n\n static get DefaultType() {\n return DefaultType$b;\n }\n\n static get NAME() {\n return NAME$c;\n } // Public\n\n\n next() {\n this._slide(ORDER_NEXT);\n }\n\n nextWhenVisible() {\n // FIXME TODO use `document.visibilityState`\n // Don't call next when the page isn't visible\n // or the carousel or its parent isn't visible\n if (!document.hidden && isVisible(this._element)) {\n this.next();\n }\n }\n\n prev() {\n this._slide(ORDER_PREV);\n }\n\n pause() {\n if (this._isSliding) {\n triggerTransitionEnd(this._element);\n }\n\n this._clearInterval();\n }\n\n cycle() {\n this._clearInterval();\n\n this._updateInterval();\n\n this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n }\n\n _maybeEnableCycle() {\n if (!this._config.ride) {\n return;\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n return;\n }\n\n this.cycle();\n }\n\n to(index) {\n const items = this._getItems();\n\n if (index > items.length - 1 || index < 0) {\n return;\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n return;\n }\n\n const activeIndex = this._getItemIndex(this._getActive());\n\n if (activeIndex === index) {\n return;\n }\n\n const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n\n this._slide(order, items[index]);\n }\n\n dispose() {\n if (this._swipeHelper) {\n this._swipeHelper.dispose();\n }\n\n super.dispose();\n } // Private\n\n\n _configAfterMerge(config) {\n config.defaultInterval = config.interval;\n return config;\n }\n\n _addEventListeners() {\n if (this._config.keyboard) {\n EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n }\n\n if (this._config.pause === 'hover') {\n EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n }\n\n if (this._config.touch && Swipe.isSupported()) {\n this._addTouchEventListeners();\n }\n }\n\n _addTouchEventListeners() {\n for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n }\n\n const endCallBack = () => {\n if (this._config.pause !== 'hover') {\n return;\n } // If it's a touch-enabled device, mouseenter/leave are fired as\n // part of the mouse compatibility events on first tap - the carousel\n // would stop cycling until user tapped out of it;\n // here, we listen for touchend, explicitly pause the carousel\n // (as if it's the second time we tap on it, mouseenter compat event\n // is NOT fired) and after a timeout (to allow for mouse compatibility\n // events to fire) we explicitly restart cycling\n\n\n this.pause();\n\n if (this.touchTimeout) {\n clearTimeout(this.touchTimeout);\n }\n\n this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n };\n\n const swipeConfig = {\n leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n endCallback: endCallBack\n };\n this._swipeHelper = new Swipe(this._element, swipeConfig);\n }\n\n _keydown(event) {\n if (/input|textarea/i.test(event.target.tagName)) {\n return;\n }\n\n const direction = KEY_TO_DIRECTION[event.key];\n\n if (direction) {\n event.preventDefault();\n\n this._slide(this._directionToOrder(direction));\n }\n }\n\n _getItemIndex(element) {\n return this._getItems().indexOf(element);\n }\n\n _setActiveIndicatorElement(index) {\n if (!this._indicatorsElement) {\n return;\n }\n\n const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n activeIndicator.removeAttribute('aria-current');\n const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n\n if (newActiveIndicator) {\n newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n newActiveIndicator.setAttribute('aria-current', 'true');\n }\n }\n\n _updateInterval() {\n const element = this._activeElement || this._getActive();\n\n if (!element) {\n return;\n }\n\n const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n this._config.interval = elementInterval || this._config.defaultInterval;\n }\n\n _slide(order, element = null) {\n if (this._isSliding) {\n return;\n }\n\n const activeElement = this._getActive();\n\n const isNext = order === ORDER_NEXT;\n const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n\n if (nextElement === activeElement) {\n return;\n }\n\n const nextElementIndex = this._getItemIndex(nextElement);\n\n const triggerEvent = eventName => {\n return EventHandler.trigger(this._element, eventName, {\n relatedTarget: nextElement,\n direction: this._orderToDirection(order),\n from: this._getItemIndex(activeElement),\n to: nextElementIndex\n });\n };\n\n const slideEvent = triggerEvent(EVENT_SLIDE);\n\n if (slideEvent.defaultPrevented) {\n return;\n }\n\n if (!activeElement || !nextElement) {\n // Some weirdness is happening, so we bail\n // todo: change tests that use empty divs to avoid this check\n return;\n }\n\n const isCycling = Boolean(this._interval);\n this.pause();\n this._isSliding = true;\n\n this._setActiveIndicatorElement(nextElementIndex);\n\n this._activeElement = nextElement;\n const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n nextElement.classList.add(orderClassName);\n reflow(nextElement);\n activeElement.classList.add(directionalClassName);\n nextElement.classList.add(directionalClassName);\n\n const completeCallBack = () => {\n nextElement.classList.remove(directionalClassName, orderClassName);\n nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n this._isSliding = false;\n triggerEvent(EVENT_SLID);\n };\n\n this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n\n if (isCycling) {\n this.cycle();\n }\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_SLIDE);\n }\n\n _getActive() {\n return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n }\n\n _getItems() {\n return SelectorEngine.find(SELECTOR_ITEM, this._element);\n }\n\n _clearInterval() {\n if (this._interval) {\n clearInterval(this._interval);\n this._interval = null;\n }\n }\n\n _directionToOrder(direction) {\n if (isRTL()) {\n return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n }\n\n return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n }\n\n _orderToDirection(order) {\n if (isRTL()) {\n return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n }\n\n return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n } // Static\n\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Carousel.getOrCreateInstance(this, config);\n\n if (typeof config === 'number') {\n data.to(config);\n return;\n }\n\n if (typeof config === 'string') {\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config]();\n }\n });\n }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n const target = getElementFromSelector(this);\n\n if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n return;\n }\n\n event.preventDefault();\n const carousel = Carousel.getOrCreateInstance(target);\n const slideIndex = this.getAttribute('data-bs-slide-to');\n\n if (slideIndex) {\n carousel.to(slideIndex);\n\n carousel._maybeEnableCycle();\n\n return;\n }\n\n if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n carousel.next();\n\n carousel._maybeEnableCycle();\n\n return;\n }\n\n carousel.prev();\n\n carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n\n for (const carousel of carousels) {\n Carousel.getOrCreateInstance(carousel);\n }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n parent: null,\n toggle: true\n};\nconst DefaultType$a = {\n parent: '(null|element)',\n toggle: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._isTransitioning = false;\n this._triggerArray = [];\n const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n\n for (const elem of toggleList) {\n const selector = getSelectorFromElement(elem);\n const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n\n if (selector !== null && filterElement.length) {\n this._triggerArray.push(elem);\n }\n }\n\n this._initializeChildren();\n\n if (!this._config.parent) {\n this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n }\n\n if (this._config.toggle) {\n this.toggle();\n }\n } // Getters\n\n\n static get Default() {\n return Default$a;\n }\n\n static get DefaultType() {\n return DefaultType$a;\n }\n\n static get NAME() {\n return NAME$b;\n } // Public\n\n\n toggle() {\n if (this._isShown()) {\n this.hide();\n } else {\n this.show();\n }\n }\n\n show() {\n if (this._isTransitioning || this._isShown()) {\n return;\n }\n\n let activeChildren = []; // find active children\n\n if (this._config.parent) {\n activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n toggle: false\n }));\n }\n\n if (activeChildren.length && activeChildren[0]._isTransitioning) {\n return;\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n\n if (startEvent.defaultPrevented) {\n return;\n }\n\n for (const activeInstance of activeChildren) {\n activeInstance.hide();\n }\n\n const dimension = this._getDimension();\n\n this._element.classList.remove(CLASS_NAME_COLLAPSE);\n\n this._element.classList.add(CLASS_NAME_COLLAPSING);\n\n this._element.style[dimension] = 0;\n\n this._addAriaAndCollapsedClass(this._triggerArray, true);\n\n this._isTransitioning = true;\n\n const complete = () => {\n this._isTransitioning = false;\n\n this._element.classList.remove(CLASS_NAME_COLLAPSING);\n\n this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n\n this._element.style[dimension] = '';\n EventHandler.trigger(this._element, EVENT_SHOWN$6);\n };\n\n const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n const scrollSize = `scroll${capitalizedDimension}`;\n\n this._queueCallback(complete, this._element, true);\n\n this._element.style[dimension] = `${this._element[scrollSize]}px`;\n }\n\n hide() {\n if (this._isTransitioning || !this._isShown()) {\n return;\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n\n if (startEvent.defaultPrevented) {\n return;\n }\n\n const dimension = this._getDimension();\n\n this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n reflow(this._element);\n\n this._element.classList.add(CLASS_NAME_COLLAPSING);\n\n this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n\n for (const trigger of this._triggerArray) {\n const element = getElementFromSelector(trigger);\n\n if (element && !this._isShown(element)) {\n this._addAriaAndCollapsedClass([trigger], false);\n }\n }\n\n this._isTransitioning = true;\n\n const complete = () => {\n this._isTransitioning = false;\n\n this._element.classList.remove(CLASS_NAME_COLLAPSING);\n\n this._element.classList.add(CLASS_NAME_COLLAPSE);\n\n EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n };\n\n this._element.style[dimension] = '';\n\n this._queueCallback(complete, this._element, true);\n }\n\n _isShown(element = this._element) {\n return element.classList.contains(CLASS_NAME_SHOW$7);\n } // Private\n\n\n _configAfterMerge(config) {\n config.toggle = Boolean(config.toggle); // Coerce string values\n\n config.parent = getElement(config.parent);\n return config;\n }\n\n _getDimension() {\n return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n }\n\n _initializeChildren() {\n if (!this._config.parent) {\n return;\n }\n\n const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n\n for (const element of children) {\n const selected = getElementFromSelector(element);\n\n if (selected) {\n this._addAriaAndCollapsedClass([element], this._isShown(selected));\n }\n }\n }\n\n _getFirstLevelChildren(selector) {\n const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent); // remove children if greater depth\n\n return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n }\n\n _addAriaAndCollapsedClass(triggerArray, isOpen) {\n if (!triggerArray.length) {\n return;\n }\n\n for (const element of triggerArray) {\n element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n element.setAttribute('aria-expanded', isOpen);\n }\n } // Static\n\n\n static jQueryInterface(config) {\n const _config = {};\n\n if (typeof config === 'string' && /show|hide/.test(config)) {\n _config.toggle = false;\n }\n\n return this.each(function () {\n const data = Collapse.getOrCreateInstance(this, _config);\n\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config]();\n }\n });\n }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n event.preventDefault();\n }\n\n const selector = getSelectorFromElement(this);\n const selectorElements = SelectorEngine.find(selector);\n\n for (const element of selectorElements) {\n Collapse.getOrCreateInstance(element, {\n toggle: false\n }).toggle();\n }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n autoClose: true,\n boundary: 'clippingParents',\n display: 'dynamic',\n offset: [0, 2],\n popperConfig: null,\n reference: 'toggle'\n};\nconst DefaultType$9 = {\n autoClose: '(boolean|string)',\n boundary: '(string|element)',\n display: 'string',\n offset: '(array|string|function)',\n popperConfig: '(null|object|function)',\n reference: '(string|element|object)'\n};\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._popper = null;\n this._parent = this._element.parentNode; // dropdown wrapper\n // todo: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.2/forms/input-group/\n\n this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n this._inNavbar = this._detectNavbar();\n } // Getters\n\n\n static get Default() {\n return Default$9;\n }\n\n static get DefaultType() {\n return DefaultType$9;\n }\n\n static get NAME() {\n return NAME$a;\n } // Public\n\n\n toggle() {\n return this._isShown() ? this.hide() : this.show();\n }\n\n show() {\n if (isDisabled(this._element) || this._isShown()) {\n return;\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n };\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n\n if (showEvent.defaultPrevented) {\n return;\n }\n\n this._createPopper(); // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n\n\n if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop);\n }\n }\n\n this._element.focus();\n\n this._element.setAttribute('aria-expanded', true);\n\n this._menu.classList.add(CLASS_NAME_SHOW$6);\n\n this._element.classList.add(CLASS_NAME_SHOW$6);\n\n EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n }\n\n hide() {\n if (isDisabled(this._element) || !this._isShown()) {\n return;\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n };\n\n this._completeHide(relatedTarget);\n }\n\n dispose() {\n if (this._popper) {\n this._popper.destroy();\n }\n\n super.dispose();\n }\n\n update() {\n this._inNavbar = this._detectNavbar();\n\n if (this._popper) {\n this._popper.update();\n }\n } // Private\n\n\n _completeHide(relatedTarget) {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n\n if (hideEvent.defaultPrevented) {\n return;\n } // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n\n\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop);\n }\n }\n\n if (this._popper) {\n this._popper.destroy();\n }\n\n this._menu.classList.remove(CLASS_NAME_SHOW$6);\n\n this._element.classList.remove(CLASS_NAME_SHOW$6);\n\n this._element.setAttribute('aria-expanded', 'false');\n\n Manipulator.removeDataAttribute(this._menu, 'popper');\n EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n }\n\n _getConfig(config) {\n config = super._getConfig(config);\n\n if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n // Popper virtual elements require a getBoundingClientRect method\n throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n }\n\n return config;\n }\n\n _createPopper() {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n }\n\n let referenceElement = this._element;\n\n if (this._config.reference === 'parent') {\n referenceElement = this._parent;\n } else if (isElement(this._config.reference)) {\n referenceElement = getElement(this._config.reference);\n } else if (typeof this._config.reference === 'object') {\n referenceElement = this._config.reference;\n }\n\n const popperConfig = this._getPopperConfig();\n\n this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n }\n\n _isShown() {\n return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n }\n\n _getPlacement() {\n const parentDropdown = this._parent;\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n return PLACEMENT_RIGHT;\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n return PLACEMENT_LEFT;\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n return PLACEMENT_TOPCENTER;\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n return PLACEMENT_BOTTOMCENTER;\n } // We need to trim the value because custom properties can also include spaces\n\n\n const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n }\n\n return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n }\n\n _detectNavbar() {\n return this._element.closest(SELECTOR_NAVBAR) !== null;\n }\n\n _getOffset() {\n const {\n offset\n } = this._config;\n\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10));\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element);\n }\n\n return offset;\n }\n\n _getPopperConfig() {\n const defaultBsPopperConfig = {\n placement: this._getPlacement(),\n modifiers: [{\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n }, {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }]\n }; // Disable Popper if we have a static display or Dropdown is in Navbar\n\n if (this._inNavbar || this._config.display === 'static') {\n Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // todo:v6 remove\n\n defaultBsPopperConfig.modifiers = [{\n name: 'applyStyles',\n enabled: false\n }];\n }\n\n return { ...defaultBsPopperConfig,\n ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n };\n }\n\n _selectMenuItem({\n key,\n target\n }) {\n const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n\n if (!items.length) {\n return;\n } // if target isn't included in items (e.g. when expanding the dropdown)\n // allow cycling to get the last item in case key equals ARROW_UP_KEY\n\n\n getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n } // Static\n\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Dropdown.getOrCreateInstance(this, config);\n\n if (typeof config !== 'string') {\n return;\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config]();\n });\n }\n\n static clearMenus(event) {\n if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n return;\n }\n\n const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n\n for (const toggle of openToggles) {\n const context = Dropdown.getInstance(toggle);\n\n if (!context || context._config.autoClose === false) {\n continue;\n }\n\n const composedPath = event.composedPath();\n const isMenuTarget = composedPath.includes(context._menu);\n\n if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n continue;\n } // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n\n\n if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n continue;\n }\n\n const relatedTarget = {\n relatedTarget: context._element\n };\n\n if (event.type === 'click') {\n relatedTarget.clickEvent = event;\n }\n\n context._completeHide(relatedTarget);\n }\n }\n\n static dataApiKeydownHandler(event) {\n // If not an UP | DOWN | ESCAPE key => not a dropdown command\n // If input/textarea && if key is other than ESCAPE => not a dropdown command\n const isInput = /input|textarea/i.test(event.target.tagName);\n const isEscapeEvent = event.key === ESCAPE_KEY$2;\n const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n\n if (!isUpOrDownEvent && !isEscapeEvent) {\n return;\n }\n\n if (isInput && !isEscapeEvent) {\n return;\n }\n\n event.preventDefault(); // todo: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.2/forms/input-group/\n\n const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n const instance = Dropdown.getOrCreateInstance(getToggleButton);\n\n if (isUpOrDownEvent) {\n event.stopPropagation();\n instance.show();\n\n instance._selectMenuItem(event);\n\n return;\n }\n\n if (instance._isShown()) {\n // else is escape and we check if it is shown\n event.stopPropagation();\n instance.hide();\n getToggleButton.focus();\n }\n }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n event.preventDefault();\n Dropdown.getOrCreateInstance(this).toggle();\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n constructor() {\n this._element = document.body;\n } // Public\n\n\n getWidth() {\n // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n const documentWidth = document.documentElement.clientWidth;\n return Math.abs(window.innerWidth - documentWidth);\n }\n\n hide() {\n const width = this.getWidth();\n\n this._disableOverFlow(); // give padding to element to balance the hidden scrollbar width\n\n\n this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width); // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n\n\n this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n\n this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n }\n\n reset() {\n this._resetElementAttributes(this._element, 'overflow');\n\n this._resetElementAttributes(this._element, PROPERTY_PADDING);\n\n this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n\n this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n }\n\n isOverflowing() {\n return this.getWidth() > 0;\n } // Private\n\n\n _disableOverFlow() {\n this._saveInitialAttribute(this._element, 'overflow');\n\n this._element.style.overflow = 'hidden';\n }\n\n _setElementAttributes(selector, styleProperty, callback) {\n const scrollbarWidth = this.getWidth();\n\n const manipulationCallBack = element => {\n if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n return;\n }\n\n this._saveInitialAttribute(element, styleProperty);\n\n const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n };\n\n this._applyManipulationCallback(selector, manipulationCallBack);\n }\n\n _saveInitialAttribute(element, styleProperty) {\n const actualValue = element.style.getPropertyValue(styleProperty);\n\n if (actualValue) {\n Manipulator.setDataAttribute(element, styleProperty, actualValue);\n }\n }\n\n _resetElementAttributes(selector, styleProperty) {\n const manipulationCallBack = element => {\n const value = Manipulator.getDataAttribute(element, styleProperty); // We only want to remove the property if the value is `null`; the value can also be zero\n\n if (value === null) {\n element.style.removeProperty(styleProperty);\n return;\n }\n\n Manipulator.removeDataAttribute(element, styleProperty);\n element.style.setProperty(styleProperty, value);\n };\n\n this._applyManipulationCallback(selector, manipulationCallBack);\n }\n\n _applyManipulationCallback(selector, callBack) {\n if (isElement(selector)) {\n callBack(selector);\n return;\n }\n\n for (const sel of SelectorEngine.find(selector, this._element)) {\n callBack(sel);\n }\n }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n className: 'modal-backdrop',\n clickCallback: null,\n isAnimated: false,\n isVisible: true,\n // if false, we use the backdrop helper without adding any element to the dom\n rootElement: 'body' // give the choice to place backdrop under different elements\n\n};\nconst DefaultType$8 = {\n className: 'string',\n clickCallback: '(function|null)',\n isAnimated: 'boolean',\n isVisible: 'boolean',\n rootElement: '(element|string)'\n};\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n this._isAppended = false;\n this._element = null;\n } // Getters\n\n\n static get Default() {\n return Default$8;\n }\n\n static get DefaultType() {\n return DefaultType$8;\n }\n\n static get NAME() {\n return NAME$9;\n } // Public\n\n\n show(callback) {\n if (!this._config.isVisible) {\n execute(callback);\n return;\n }\n\n this._append();\n\n const element = this._getElement();\n\n if (this._config.isAnimated) {\n reflow(element);\n }\n\n element.classList.add(CLASS_NAME_SHOW$5);\n\n this._emulateAnimation(() => {\n execute(callback);\n });\n }\n\n hide(callback) {\n if (!this._config.isVisible) {\n execute(callback);\n return;\n }\n\n this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n\n this._emulateAnimation(() => {\n this.dispose();\n execute(callback);\n });\n }\n\n dispose() {\n if (!this._isAppended) {\n return;\n }\n\n EventHandler.off(this._element, EVENT_MOUSEDOWN);\n\n this._element.remove();\n\n this._isAppended = false;\n } // Private\n\n\n _getElement() {\n if (!this._element) {\n const backdrop = document.createElement('div');\n backdrop.className = this._config.className;\n\n if (this._config.isAnimated) {\n backdrop.classList.add(CLASS_NAME_FADE$4);\n }\n\n this._element = backdrop;\n }\n\n return this._element;\n }\n\n _configAfterMerge(config) {\n // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n config.rootElement = getElement(config.rootElement);\n return config;\n }\n\n _append() {\n if (this._isAppended) {\n return;\n }\n\n const element = this._getElement();\n\n this._config.rootElement.append(element);\n\n EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n execute(this._config.clickCallback);\n });\n this._isAppended = true;\n }\n\n _emulateAnimation(callback) {\n executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n autofocus: true,\n trapElement: null // The element to trap focus inside of\n\n};\nconst DefaultType$7 = {\n autofocus: 'boolean',\n trapElement: 'element'\n};\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n this._isActive = false;\n this._lastTabNavDirection = null;\n } // Getters\n\n\n static get Default() {\n return Default$7;\n }\n\n static get DefaultType() {\n return DefaultType$7;\n }\n\n static get NAME() {\n return NAME$8;\n } // Public\n\n\n activate() {\n if (this._isActive) {\n return;\n }\n\n if (this._config.autofocus) {\n this._config.trapElement.focus();\n }\n\n EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n\n EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n this._isActive = true;\n }\n\n deactivate() {\n if (!this._isActive) {\n return;\n }\n\n this._isActive = false;\n EventHandler.off(document, EVENT_KEY$5);\n } // Private\n\n\n _handleFocusin(event) {\n const {\n trapElement\n } = this._config;\n\n if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n return;\n }\n\n const elements = SelectorEngine.focusableChildren(trapElement);\n\n if (elements.length === 0) {\n trapElement.focus();\n } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n elements[elements.length - 1].focus();\n } else {\n elements[0].focus();\n }\n }\n\n _handleKeydown(event) {\n if (event.key !== TAB_KEY) {\n return;\n }\n\n this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n backdrop: true,\n focus: true,\n keyboard: true\n};\nconst DefaultType$6 = {\n backdrop: '(boolean|string)',\n focus: 'boolean',\n keyboard: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n this._backdrop = this._initializeBackDrop();\n this._focustrap = this._initializeFocusTrap();\n this._isShown = false;\n this._isTransitioning = false;\n this._scrollBar = new ScrollBarHelper();\n\n this._addEventListeners();\n } // Getters\n\n\n static get Default() {\n return Default$6;\n }\n\n static get DefaultType() {\n return DefaultType$6;\n }\n\n static get NAME() {\n return NAME$7;\n } // Public\n\n\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget);\n }\n\n show(relatedTarget) {\n if (this._isShown || this._isTransitioning) {\n return;\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n relatedTarget\n });\n\n if (showEvent.defaultPrevented) {\n return;\n }\n\n this._isShown = true;\n this._isTransitioning = true;\n\n this._scrollBar.hide();\n\n document.body.classList.add(CLASS_NAME_OPEN);\n\n this._adjustDialog();\n\n this._backdrop.show(() => this._showElement(relatedTarget));\n }\n\n hide() {\n if (!this._isShown || this._isTransitioning) {\n return;\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n\n if (hideEvent.defaultPrevented) {\n return;\n }\n\n this._isShown = false;\n this._isTransitioning = true;\n\n this._focustrap.deactivate();\n\n this._element.classList.remove(CLASS_NAME_SHOW$4);\n\n this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n }\n\n dispose() {\n for (const htmlElement of [window, this._dialog]) {\n EventHandler.off(htmlElement, EVENT_KEY$4);\n }\n\n this._backdrop.dispose();\n\n this._focustrap.deactivate();\n\n super.dispose();\n }\n\n handleUpdate() {\n this._adjustDialog();\n } // Private\n\n\n _initializeBackDrop() {\n return new Backdrop({\n isVisible: Boolean(this._config.backdrop),\n // 'static' option will be translated to true, and booleans will keep their value,\n isAnimated: this._isAnimated()\n });\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n });\n }\n\n _showElement(relatedTarget) {\n // try to append dynamic modal\n if (!document.body.contains(this._element)) {\n document.body.append(this._element);\n }\n\n this._element.style.display = 'block';\n\n this._element.removeAttribute('aria-hidden');\n\n this._element.setAttribute('aria-modal', true);\n\n this._element.setAttribute('role', 'dialog');\n\n this._element.scrollTop = 0;\n const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n\n if (modalBody) {\n modalBody.scrollTop = 0;\n }\n\n reflow(this._element);\n\n this._element.classList.add(CLASS_NAME_SHOW$4);\n\n const transitionComplete = () => {\n if (this._config.focus) {\n this._focustrap.activate();\n }\n\n this._isTransitioning = false;\n EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n relatedTarget\n });\n };\n\n this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n if (event.key !== ESCAPE_KEY$1) {\n return;\n }\n\n if (this._config.keyboard) {\n event.preventDefault();\n this.hide();\n return;\n }\n\n this._triggerBackdropTransition();\n });\n EventHandler.on(window, EVENT_RESIZE$1, () => {\n if (this._isShown && !this._isTransitioning) {\n this._adjustDialog();\n }\n });\n EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n if (this._element !== event.target || this._element !== event2.target) {\n return;\n }\n\n if (this._config.backdrop === 'static') {\n this._triggerBackdropTransition();\n\n return;\n }\n\n if (this._config.backdrop) {\n this.hide();\n }\n });\n });\n }\n\n _hideModal() {\n this._element.style.display = 'none';\n\n this._element.setAttribute('aria-hidden', true);\n\n this._element.removeAttribute('aria-modal');\n\n this._element.removeAttribute('role');\n\n this._isTransitioning = false;\n\n this._backdrop.hide(() => {\n document.body.classList.remove(CLASS_NAME_OPEN);\n\n this._resetAdjustments();\n\n this._scrollBar.reset();\n\n EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n });\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_FADE$3);\n }\n\n _triggerBackdropTransition() {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n\n if (hideEvent.defaultPrevented) {\n return;\n }\n\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n const initialOverflowY = this._element.style.overflowY; // return if the following background transition hasn't yet completed\n\n if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n return;\n }\n\n if (!isModalOverflowing) {\n this._element.style.overflowY = 'hidden';\n }\n\n this._element.classList.add(CLASS_NAME_STATIC);\n\n this._queueCallback(() => {\n this._element.classList.remove(CLASS_NAME_STATIC);\n\n this._queueCallback(() => {\n this._element.style.overflowY = initialOverflowY;\n }, this._dialog);\n }, this._dialog);\n\n this._element.focus();\n }\n /**\n * The following methods are used to handle overflowing modals\n */\n\n\n _adjustDialog() {\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n\n const scrollbarWidth = this._scrollBar.getWidth();\n\n const isBodyOverflowing = scrollbarWidth > 0;\n\n if (isBodyOverflowing && !isModalOverflowing) {\n const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n this._element.style[property] = `${scrollbarWidth}px`;\n }\n\n if (!isBodyOverflowing && isModalOverflowing) {\n const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n this._element.style[property] = `${scrollbarWidth}px`;\n }\n }\n\n _resetAdjustments() {\n this._element.style.paddingLeft = '';\n this._element.style.paddingRight = '';\n } // Static\n\n\n static jQueryInterface(config, relatedTarget) {\n return this.each(function () {\n const data = Modal.getOrCreateInstance(this, config);\n\n if (typeof config !== 'string') {\n return;\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config](relatedTarget);\n });\n }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n const target = getElementFromSelector(this);\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n\n EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n if (showEvent.defaultPrevented) {\n // only register focus restorer if modal will actually get shown\n return;\n }\n\n EventHandler.one(target, EVENT_HIDDEN$4, () => {\n if (isVisible(this)) {\n this.focus();\n }\n });\n }); // avoid conflict when clicking modal toggler while another one is open\n\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n\n if (alreadyOpen) {\n Modal.getInstance(alreadyOpen).hide();\n }\n\n const data = Modal.getOrCreateInstance(target);\n data.toggle(this);\n});\nenableDismissTrigger(Modal);\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n backdrop: true,\n keyboard: true,\n scroll: false\n};\nconst DefaultType$5 = {\n backdrop: '(boolean|string)',\n keyboard: 'boolean',\n scroll: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._isShown = false;\n this._backdrop = this._initializeBackDrop();\n this._focustrap = this._initializeFocusTrap();\n\n this._addEventListeners();\n } // Getters\n\n\n static get Default() {\n return Default$5;\n }\n\n static get DefaultType() {\n return DefaultType$5;\n }\n\n static get NAME() {\n return NAME$6;\n } // Public\n\n\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget);\n }\n\n show(relatedTarget) {\n if (this._isShown) {\n return;\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n relatedTarget\n });\n\n if (showEvent.defaultPrevented) {\n return;\n }\n\n this._isShown = true;\n\n this._backdrop.show();\n\n if (!this._config.scroll) {\n new ScrollBarHelper().hide();\n }\n\n this._element.setAttribute('aria-modal', true);\n\n this._element.setAttribute('role', 'dialog');\n\n this._element.classList.add(CLASS_NAME_SHOWING$1);\n\n const completeCallBack = () => {\n if (!this._config.scroll || this._config.backdrop) {\n this._focustrap.activate();\n }\n\n this._element.classList.add(CLASS_NAME_SHOW$3);\n\n this._element.classList.remove(CLASS_NAME_SHOWING$1);\n\n EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n relatedTarget\n });\n };\n\n this._queueCallback(completeCallBack, this._element, true);\n }\n\n hide() {\n if (!this._isShown) {\n return;\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n\n if (hideEvent.defaultPrevented) {\n return;\n }\n\n this._focustrap.deactivate();\n\n this._element.blur();\n\n this._isShown = false;\n\n this._element.classList.add(CLASS_NAME_HIDING);\n\n this._backdrop.hide();\n\n const completeCallback = () => {\n this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n\n this._element.removeAttribute('aria-modal');\n\n this._element.removeAttribute('role');\n\n if (!this._config.scroll) {\n new ScrollBarHelper().reset();\n }\n\n EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n };\n\n this._queueCallback(completeCallback, this._element, true);\n }\n\n dispose() {\n this._backdrop.dispose();\n\n this._focustrap.deactivate();\n\n super.dispose();\n } // Private\n\n\n _initializeBackDrop() {\n const clickCallback = () => {\n if (this._config.backdrop === 'static') {\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n return;\n }\n\n this.hide();\n }; // 'static' option will be translated to true, and booleans will keep their value\n\n\n const isVisible = Boolean(this._config.backdrop);\n return new Backdrop({\n className: CLASS_NAME_BACKDROP,\n isVisible,\n isAnimated: true,\n rootElement: this._element.parentNode,\n clickCallback: isVisible ? clickCallback : null\n });\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n });\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return;\n }\n\n if (!this._config.keyboard) {\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n return;\n }\n\n this.hide();\n });\n } // Static\n\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Offcanvas.getOrCreateInstance(this, config);\n\n if (typeof config !== 'string') {\n return;\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config](this);\n });\n }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n const target = getElementFromSelector(this);\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n\n if (isDisabled(this)) {\n return;\n }\n\n EventHandler.one(target, EVENT_HIDDEN$3, () => {\n // focus on trigger when it is closed\n if (isVisible(this)) {\n this.focus();\n }\n }); // avoid conflict when clicking a toggler of an offcanvas, while another is open\n\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n\n if (alreadyOpen && alreadyOpen !== target) {\n Offcanvas.getInstance(alreadyOpen).hide();\n }\n\n const data = Offcanvas.getOrCreateInstance(target);\n data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n Offcanvas.getOrCreateInstance(selector).show();\n }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n if (getComputedStyle(element).position !== 'fixed') {\n Offcanvas.getOrCreateInstance(element).hide();\n }\n }\n});\nenableDismissTrigger(Offcanvas);\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\n/**\n * A pattern that recognizes a commonly useful subset of URLs that are safe.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\n\nconst SAFE_URL_PATTERN = /^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i;\n/**\n * A pattern that matches safe data URLs. Only matches image, video and audio types.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\n\nconst DATA_URL_PATTERN = /^data:(?:image\\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[\\d+/a-z]+=*$/i;\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n const attributeName = attribute.nodeName.toLowerCase();\n\n if (allowedAttributeList.includes(attributeName)) {\n if (uriAttributes.has(attributeName)) {\n return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue) || DATA_URL_PATTERN.test(attribute.nodeValue));\n }\n\n return true;\n } // Check if a regular expression validates the attribute.\n\n\n return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\n\nconst DefaultAllowlist = {\n // Global attributes allowed on any supplied element below.\n '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n a: ['target', 'href', 'title', 'rel'],\n area: [],\n b: [],\n br: [],\n col: [],\n code: [],\n div: [],\n em: [],\n hr: [],\n h1: [],\n h2: [],\n h3: [],\n h4: [],\n h5: [],\n h6: [],\n i: [],\n img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n li: [],\n ol: [],\n p: [],\n pre: [],\n s: [],\n small: [],\n span: [],\n sub: [],\n sup: [],\n strong: [],\n u: [],\n ul: []\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n if (!unsafeHtml.length) {\n return unsafeHtml;\n }\n\n if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n return sanitizeFunction(unsafeHtml);\n }\n\n const domParser = new window.DOMParser();\n const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n\n for (const element of elements) {\n const elementName = element.nodeName.toLowerCase();\n\n if (!Object.keys(allowList).includes(elementName)) {\n element.remove();\n continue;\n }\n\n const attributeList = [].concat(...element.attributes);\n const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n\n for (const attribute of attributeList) {\n if (!allowedAttribute(attribute, allowedAttributes)) {\n element.removeAttribute(attribute.nodeName);\n }\n }\n }\n\n return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n allowList: DefaultAllowlist,\n content: {},\n // { selector : text , selector2 : text2 , }\n extraClass: '',\n html: false,\n sanitize: true,\n sanitizeFn: null,\n template: '<div></div>'\n};\nconst DefaultType$4 = {\n allowList: 'object',\n content: 'object',\n extraClass: '(string|function)',\n html: 'boolean',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n template: 'string'\n};\nconst DefaultContentType = {\n entry: '(string|element|function|null)',\n selector: '(string|element)'\n};\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n constructor(config) {\n super();\n this._config = this._getConfig(config);\n } // Getters\n\n\n static get Default() {\n return Default$4;\n }\n\n static get DefaultType() {\n return DefaultType$4;\n }\n\n static get NAME() {\n return NAME$5;\n } // Public\n\n\n getContent() {\n return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n }\n\n hasContent() {\n return this.getContent().length > 0;\n }\n\n changeContent(content) {\n this._checkContent(content);\n\n this._config.content = { ...this._config.content,\n ...content\n };\n return this;\n }\n\n toHtml() {\n const templateWrapper = document.createElement('div');\n templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n\n for (const [selector, text] of Object.entries(this._config.content)) {\n this._setContent(templateWrapper, text, selector);\n }\n\n const template = templateWrapper.children[0];\n\n const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n\n if (extraClass) {\n template.classList.add(...extraClass.split(' '));\n }\n\n return template;\n } // Private\n\n\n _typeCheckConfig(config) {\n super._typeCheckConfig(config);\n\n this._checkContent(config.content);\n }\n\n _checkContent(arg) {\n for (const [selector, content] of Object.entries(arg)) {\n super._typeCheckConfig({\n selector,\n entry: content\n }, DefaultContentType);\n }\n }\n\n _setContent(template, content, selector) {\n const templateElement = SelectorEngine.findOne(selector, template);\n\n if (!templateElement) {\n return;\n }\n\n content = this._resolvePossibleFunction(content);\n\n if (!content) {\n templateElement.remove();\n return;\n }\n\n if (isElement(content)) {\n this._putElementInTemplate(getElement(content), templateElement);\n\n return;\n }\n\n if (this._config.html) {\n templateElement.innerHTML = this._maybeSanitize(content);\n return;\n }\n\n templateElement.textContent = content;\n }\n\n _maybeSanitize(arg) {\n return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n }\n\n _resolvePossibleFunction(arg) {\n return typeof arg === 'function' ? arg(this) : arg;\n }\n\n _putElementInTemplate(element, templateElement) {\n if (this._config.html) {\n templateElement.innerHTML = '';\n templateElement.append(element);\n return;\n }\n\n templateElement.textContent = element.textContent;\n }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n AUTO: 'auto',\n TOP: 'top',\n RIGHT: isRTL() ? 'left' : 'right',\n BOTTOM: 'bottom',\n LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n allowList: DefaultAllowlist,\n animation: true,\n boundary: 'clippingParents',\n container: false,\n customClass: '',\n delay: 0,\n fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n html: false,\n offset: [0, 0],\n placement: 'top',\n popperConfig: null,\n sanitize: true,\n sanitizeFn: null,\n selector: false,\n template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n title: '',\n trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n allowList: 'object',\n animation: 'boolean',\n boundary: '(string|element)',\n container: '(string|element|boolean)',\n customClass: '(string|function)',\n delay: '(number|object)',\n fallbackPlacements: 'array',\n html: 'boolean',\n offset: '(array|string|function)',\n placement: '(string|function)',\n popperConfig: '(null|object|function)',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n selector: '(string|boolean)',\n template: 'string',\n title: '(string|element|function)',\n trigger: 'string'\n};\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n constructor(element, config) {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n }\n\n super(element, config); // Private\n\n this._isEnabled = true;\n this._timeout = 0;\n this._isHovered = null;\n this._activeTrigger = {};\n this._popper = null;\n this._templateFactory = null;\n this._newContent = null; // Protected\n\n this.tip = null;\n\n this._setListeners();\n\n if (!this._config.selector) {\n this._fixTitle();\n }\n } // Getters\n\n\n static get Default() {\n return Default$3;\n }\n\n static get DefaultType() {\n return DefaultType$3;\n }\n\n static get NAME() {\n return NAME$4;\n } // Public\n\n\n enable() {\n this._isEnabled = true;\n }\n\n disable() {\n this._isEnabled = false;\n }\n\n toggleEnabled() {\n this._isEnabled = !this._isEnabled;\n }\n\n toggle() {\n if (!this._isEnabled) {\n return;\n }\n\n this._activeTrigger.click = !this._activeTrigger.click;\n\n if (this._isShown()) {\n this._leave();\n\n return;\n }\n\n this._enter();\n }\n\n dispose() {\n clearTimeout(this._timeout);\n EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n\n if (this._element.getAttribute('data-bs-original-title')) {\n this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n }\n\n this._disposePopper();\n\n super.dispose();\n }\n\n show() {\n if (this._element.style.display === 'none') {\n throw new Error('Please use show on visible elements');\n }\n\n if (!(this._isWithContent() && this._isEnabled)) {\n return;\n }\n\n const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n const shadowRoot = findShadowRoot(this._element);\n\n const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n\n if (showEvent.defaultPrevented || !isInTheDom) {\n return;\n } // todo v6 remove this OR make it optional\n\n\n this._disposePopper();\n\n const tip = this._getTipElement();\n\n this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n\n const {\n container\n } = this._config;\n\n if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n container.append(tip);\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n }\n\n this._popper = this._createPopper(tip);\n tip.classList.add(CLASS_NAME_SHOW$2); // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop);\n }\n }\n\n const complete = () => {\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n\n if (this._isHovered === false) {\n this._leave();\n }\n\n this._isHovered = false;\n };\n\n this._queueCallback(complete, this.tip, this._isAnimated());\n }\n\n hide() {\n if (!this._isShown()) {\n return;\n }\n\n const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n\n if (hideEvent.defaultPrevented) {\n return;\n }\n\n const tip = this._getTipElement();\n\n tip.classList.remove(CLASS_NAME_SHOW$2); // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop);\n }\n }\n\n this._activeTrigger[TRIGGER_CLICK] = false;\n this._activeTrigger[TRIGGER_FOCUS] = false;\n this._activeTrigger[TRIGGER_HOVER] = false;\n this._isHovered = null; // it is a trick to support manual triggering\n\n const complete = () => {\n if (this._isWithActiveTrigger()) {\n return;\n }\n\n if (!this._isHovered) {\n this._disposePopper();\n }\n\n this._element.removeAttribute('aria-describedby');\n\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n };\n\n this._queueCallback(complete, this.tip, this._isAnimated());\n }\n\n update() {\n if (this._popper) {\n this._popper.update();\n }\n } // Protected\n\n\n _isWithContent() {\n return Boolean(this._getTitle());\n }\n\n _getTipElement() {\n if (!this.tip) {\n this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n }\n\n return this.tip;\n }\n\n _createTipElement(content) {\n const tip = this._getTemplateFactory(content).toHtml(); // todo: remove this check on v6\n\n\n if (!tip) {\n return null;\n }\n\n tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2); // todo: on v6 the following can be achieved with CSS only\n\n tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n const tipId = getUID(this.constructor.NAME).toString();\n tip.setAttribute('id', tipId);\n\n if (this._isAnimated()) {\n tip.classList.add(CLASS_NAME_FADE$2);\n }\n\n return tip;\n }\n\n setContent(content) {\n this._newContent = content;\n\n if (this._isShown()) {\n this._disposePopper();\n\n this.show();\n }\n }\n\n _getTemplateFactory(content) {\n if (this._templateFactory) {\n this._templateFactory.changeContent(content);\n } else {\n this._templateFactory = new TemplateFactory({ ...this._config,\n // the `content` var has to be after `this._config`\n // to override config.content in case of popover\n content,\n extraClass: this._resolvePossibleFunction(this._config.customClass)\n });\n }\n\n return this._templateFactory;\n }\n\n _getContentForTemplate() {\n return {\n [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n };\n }\n\n _getTitle() {\n return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n } // Private\n\n\n _initializeOnDelegatedTarget(event) {\n return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n }\n\n _isAnimated() {\n return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n }\n\n _isShown() {\n return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n }\n\n _createPopper(tip) {\n const placement = typeof this._config.placement === 'function' ? this._config.placement.call(this, tip, this._element) : this._config.placement;\n const attachment = AttachmentMap[placement.toUpperCase()];\n return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n }\n\n _getOffset() {\n const {\n offset\n } = this._config;\n\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10));\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element);\n }\n\n return offset;\n }\n\n _resolvePossibleFunction(arg) {\n return typeof arg === 'function' ? arg.call(this._element) : arg;\n }\n\n _getPopperConfig(attachment) {\n const defaultBsPopperConfig = {\n placement: attachment,\n modifiers: [{\n name: 'flip',\n options: {\n fallbackPlacements: this._config.fallbackPlacements\n }\n }, {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }, {\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n }, {\n name: 'arrow',\n options: {\n element: `.${this.constructor.NAME}-arrow`\n }\n }, {\n name: 'preSetPlacement',\n enabled: true,\n phase: 'beforeMain',\n fn: data => {\n // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n }\n }]\n };\n return { ...defaultBsPopperConfig,\n ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n };\n }\n\n _setListeners() {\n const triggers = this._config.trigger.split(' ');\n\n for (const trigger of triggers) {\n if (trigger === 'click') {\n EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n\n context.toggle();\n });\n } else if (trigger !== TRIGGER_MANUAL) {\n const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n EventHandler.on(this._element, eventIn, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n\n context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n\n context._enter();\n });\n EventHandler.on(this._element, eventOut, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event);\n\n context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n\n context._leave();\n });\n }\n }\n\n this._hideModalHandler = () => {\n if (this._element) {\n this.hide();\n }\n };\n\n EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n }\n\n _fixTitle() {\n const title = this._element.getAttribute('title');\n\n if (!title) {\n return;\n }\n\n if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n this._element.setAttribute('aria-label', title);\n }\n\n this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n\n\n this._element.removeAttribute('title');\n }\n\n _enter() {\n if (this._isShown() || this._isHovered) {\n this._isHovered = true;\n return;\n }\n\n this._isHovered = true;\n\n this._setTimeout(() => {\n if (this._isHovered) {\n this.show();\n }\n }, this._config.delay.show);\n }\n\n _leave() {\n if (this._isWithActiveTrigger()) {\n return;\n }\n\n this._isHovered = false;\n\n this._setTimeout(() => {\n if (!this._isHovered) {\n this.hide();\n }\n }, this._config.delay.hide);\n }\n\n _setTimeout(handler, timeout) {\n clearTimeout(this._timeout);\n this._timeout = setTimeout(handler, timeout);\n }\n\n _isWithActiveTrigger() {\n return Object.values(this._activeTrigger).includes(true);\n }\n\n _getConfig(config) {\n const dataAttributes = Manipulator.getDataAttributes(this._element);\n\n for (const dataAttribute of Object.keys(dataAttributes)) {\n if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n delete dataAttributes[dataAttribute];\n }\n }\n\n config = { ...dataAttributes,\n ...(typeof config === 'object' && config ? config : {})\n };\n config = this._mergeConfigObj(config);\n config = this._configAfterMerge(config);\n\n this._typeCheckConfig(config);\n\n return config;\n }\n\n _configAfterMerge(config) {\n config.container = config.container === false ? document.body : getElement(config.container);\n\n if (typeof config.delay === 'number') {\n config.delay = {\n show: config.delay,\n hide: config.delay\n };\n }\n\n if (typeof config.title === 'number') {\n config.title = config.title.toString();\n }\n\n if (typeof config.content === 'number') {\n config.content = config.content.toString();\n }\n\n return config;\n }\n\n _getDelegateConfig() {\n const config = {};\n\n for (const key in this._config) {\n if (this.constructor.Default[key] !== this._config[key]) {\n config[key] = this._config[key];\n }\n }\n\n config.selector = false;\n config.trigger = 'manual'; // In the future can be replaced with:\n // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n // `Object.fromEntries(keysWithDifferentValues)`\n\n return config;\n }\n\n _disposePopper() {\n if (this._popper) {\n this._popper.destroy();\n\n this._popper = null;\n }\n\n if (this.tip) {\n this.tip.remove();\n this.tip = null;\n }\n } // Static\n\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tooltip.getOrCreateInstance(this, config);\n\n if (typeof config !== 'string') {\n return;\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config]();\n });\n }\n\n}\n/**\n * jQuery\n */\n\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = { ...Tooltip.Default,\n content: '',\n offset: [0, 8],\n placement: 'right',\n template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n trigger: 'click'\n};\nconst DefaultType$2 = { ...Tooltip.DefaultType,\n content: '(null|string|element|function)'\n};\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n // Getters\n static get Default() {\n return Default$2;\n }\n\n static get DefaultType() {\n return DefaultType$2;\n }\n\n static get NAME() {\n return NAME$3;\n } // Overrides\n\n\n _isWithContent() {\n return this._getTitle() || this._getContent();\n } // Private\n\n\n _getContentForTemplate() {\n return {\n [SELECTOR_TITLE]: this._getTitle(),\n [SELECTOR_CONTENT]: this._getContent()\n };\n }\n\n _getContent() {\n return this._resolvePossibleFunction(this._config.content);\n } // Static\n\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Popover.getOrCreateInstance(this, config);\n\n if (typeof config !== 'string') {\n return;\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config]();\n });\n }\n\n}\n/**\n * jQuery\n */\n\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n offset: null,\n // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: '0px 0px -25%',\n smoothScroll: false,\n target: null,\n threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n offset: '(number|null)',\n // TODO v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: 'string',\n smoothScroll: 'boolean',\n target: 'element',\n threshold: 'array'\n};\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n constructor(element, config) {\n super(element, config); // this._element is the observablesContainer and config.target the menu links wrapper\n\n this._targetLinks = new Map();\n this._observableSections = new Map();\n this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n this._activeTarget = null;\n this._observer = null;\n this._previousScrollData = {\n visibleEntryTop: 0,\n parentScrollTop: 0\n };\n this.refresh(); // initialize\n } // Getters\n\n\n static get Default() {\n return Default$1;\n }\n\n static get DefaultType() {\n return DefaultType$1;\n }\n\n static get NAME() {\n return NAME$2;\n } // Public\n\n\n refresh() {\n this._initializeTargetsAndObservables();\n\n this._maybeEnableSmoothScroll();\n\n if (this._observer) {\n this._observer.disconnect();\n } else {\n this._observer = this._getNewObserver();\n }\n\n for (const section of this._observableSections.values()) {\n this._observer.observe(section);\n }\n }\n\n dispose() {\n this._observer.disconnect();\n\n super.dispose();\n } // Private\n\n\n _configAfterMerge(config) {\n // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n config.target = getElement(config.target) || document.body; // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n\n config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n\n if (typeof config.threshold === 'string') {\n config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n }\n\n return config;\n }\n\n _maybeEnableSmoothScroll() {\n if (!this._config.smoothScroll) {\n return;\n } // unregister any previous listeners\n\n\n EventHandler.off(this._config.target, EVENT_CLICK);\n EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n const observableSection = this._observableSections.get(event.target.hash);\n\n if (observableSection) {\n event.preventDefault();\n const root = this._rootElement || window;\n const height = observableSection.offsetTop - this._element.offsetTop;\n\n if (root.scrollTo) {\n root.scrollTo({\n top: height,\n behavior: 'smooth'\n });\n return;\n } // Chrome 60 doesn't support `scrollTo`\n\n\n root.scrollTop = height;\n }\n });\n }\n\n _getNewObserver() {\n const options = {\n root: this._rootElement,\n threshold: this._config.threshold,\n rootMargin: this._config.rootMargin\n };\n return new IntersectionObserver(entries => this._observerCallback(entries), options);\n } // The logic of selection\n\n\n _observerCallback(entries) {\n const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n\n const activate = entry => {\n this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n\n this._process(targetElement(entry));\n };\n\n const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n this._previousScrollData.parentScrollTop = parentScrollTop;\n\n for (const entry of entries) {\n if (!entry.isIntersecting) {\n this._activeTarget = null;\n\n this._clearActiveClass(targetElement(entry));\n\n continue;\n }\n\n const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop; // if we are scrolling down, pick the bigger offsetTop\n\n if (userScrollsDown && entryIsLowerThanPrevious) {\n activate(entry); // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n\n if (!parentScrollTop) {\n return;\n }\n\n continue;\n } // if we are scrolling up, pick the smallest offsetTop\n\n\n if (!userScrollsDown && !entryIsLowerThanPrevious) {\n activate(entry);\n }\n }\n }\n\n _initializeTargetsAndObservables() {\n this._targetLinks = new Map();\n this._observableSections = new Map();\n const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n\n for (const anchor of targetLinks) {\n // ensure that the anchor has an id and is not disabled\n if (!anchor.hash || isDisabled(anchor)) {\n continue;\n }\n\n const observableSection = SelectorEngine.findOne(anchor.hash, this._element); // ensure that the observableSection exists & is visible\n\n if (isVisible(observableSection)) {\n this._targetLinks.set(anchor.hash, anchor);\n\n this._observableSections.set(anchor.hash, observableSection);\n }\n }\n }\n\n _process(target) {\n if (this._activeTarget === target) {\n return;\n }\n\n this._clearActiveClass(this._config.target);\n\n this._activeTarget = target;\n target.classList.add(CLASS_NAME_ACTIVE$1);\n\n this._activateParents(target);\n\n EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n relatedTarget: target\n });\n }\n\n _activateParents(target) {\n // Activate dropdown parents\n if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n return;\n }\n\n for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n // Set triggered links parents as active\n // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n item.classList.add(CLASS_NAME_ACTIVE$1);\n }\n }\n }\n\n _clearActiveClass(parent) {\n parent.classList.remove(CLASS_NAME_ACTIVE$1);\n const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n\n for (const node of activeNodes) {\n node.classList.remove(CLASS_NAME_ACTIVE$1);\n }\n } // Static\n\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = ScrollSpy.getOrCreateInstance(this, config);\n\n if (typeof config !== 'string') {\n return;\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config]();\n });\n }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n ScrollSpy.getOrCreateInstance(spy);\n }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = ':not(.dropdown-toggle)';\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // todo:v6: could be only `tab`\n\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n constructor(element) {\n super(element);\n this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n\n if (!this._parent) {\n return; // todo: should Throw exception on v6\n // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n } // Set up initial aria attributes\n\n\n this._setInitialAttributes(this._parent, this._getChildren());\n\n EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n } // Getters\n\n\n static get NAME() {\n return NAME$1;\n } // Public\n\n\n show() {\n // Shows this elem and deactivate the active sibling if exists\n const innerElem = this._element;\n\n if (this._elemIsActive(innerElem)) {\n return;\n } // Search for active tab on same parent to deactivate it\n\n\n const active = this._getActiveElem();\n\n const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n relatedTarget: innerElem\n }) : null;\n const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n relatedTarget: active\n });\n\n if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n return;\n }\n\n this._deactivate(active, innerElem);\n\n this._activate(innerElem, active);\n } // Private\n\n\n _activate(element, relatedElem) {\n if (!element) {\n return;\n }\n\n element.classList.add(CLASS_NAME_ACTIVE);\n\n this._activate(getElementFromSelector(element)); // Search and activate/show the proper section\n\n\n const complete = () => {\n if (element.getAttribute('role') !== 'tab') {\n element.classList.add(CLASS_NAME_SHOW$1);\n return;\n }\n\n element.removeAttribute('tabindex');\n element.setAttribute('aria-selected', true);\n\n this._toggleDropDown(element, true);\n\n EventHandler.trigger(element, EVENT_SHOWN$1, {\n relatedTarget: relatedElem\n });\n };\n\n this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n }\n\n _deactivate(element, relatedElem) {\n if (!element) {\n return;\n }\n\n element.classList.remove(CLASS_NAME_ACTIVE);\n element.blur();\n\n this._deactivate(getElementFromSelector(element)); // Search and deactivate the shown section too\n\n\n const complete = () => {\n if (element.getAttribute('role') !== 'tab') {\n element.classList.remove(CLASS_NAME_SHOW$1);\n return;\n }\n\n element.setAttribute('aria-selected', false);\n element.setAttribute('tabindex', '-1');\n\n this._toggleDropDown(element, false);\n\n EventHandler.trigger(element, EVENT_HIDDEN$1, {\n relatedTarget: relatedElem\n });\n };\n\n this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n }\n\n _keydown(event) {\n if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)) {\n return;\n }\n\n event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n\n event.preventDefault();\n const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n const nextActiveElement = getNextActiveElement(this._getChildren().filter(element => !isDisabled(element)), event.target, isNext, true);\n\n if (nextActiveElement) {\n nextActiveElement.focus({\n preventScroll: true\n });\n Tab.getOrCreateInstance(nextActiveElement).show();\n }\n }\n\n _getChildren() {\n // collection of inner elements\n return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n }\n\n _getActiveElem() {\n return this._getChildren().find(child => this._elemIsActive(child)) || null;\n }\n\n _setInitialAttributes(parent, children) {\n this._setAttributeIfNotExists(parent, 'role', 'tablist');\n\n for (const child of children) {\n this._setInitialAttributesOnChild(child);\n }\n }\n\n _setInitialAttributesOnChild(child) {\n child = this._getInnerElement(child);\n\n const isActive = this._elemIsActive(child);\n\n const outerElem = this._getOuterElement(child);\n\n child.setAttribute('aria-selected', isActive);\n\n if (outerElem !== child) {\n this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n }\n\n if (!isActive) {\n child.setAttribute('tabindex', '-1');\n }\n\n this._setAttributeIfNotExists(child, 'role', 'tab'); // set attributes to the related panel too\n\n\n this._setInitialAttributesOnTargetPanel(child);\n }\n\n _setInitialAttributesOnTargetPanel(child) {\n const target = getElementFromSelector(child);\n\n if (!target) {\n return;\n }\n\n this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n\n if (child.id) {\n this._setAttributeIfNotExists(target, 'aria-labelledby', `#${child.id}`);\n }\n }\n\n _toggleDropDown(element, open) {\n const outerElem = this._getOuterElement(element);\n\n if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n return;\n }\n\n const toggle = (selector, className) => {\n const element = SelectorEngine.findOne(selector, outerElem);\n\n if (element) {\n element.classList.toggle(className, open);\n }\n };\n\n toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n outerElem.setAttribute('aria-expanded', open);\n }\n\n _setAttributeIfNotExists(element, attribute, value) {\n if (!element.hasAttribute(attribute)) {\n element.setAttribute(attribute, value);\n }\n }\n\n _elemIsActive(elem) {\n return elem.classList.contains(CLASS_NAME_ACTIVE);\n } // Try to get the inner element (usually the .nav-link)\n\n\n _getInnerElement(elem) {\n return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n } // Try to get the outer element (usually the .nav-item)\n\n\n _getOuterElement(elem) {\n return elem.closest(SELECTOR_OUTER) || elem;\n } // Static\n\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tab.getOrCreateInstance(this);\n\n if (typeof config !== 'string') {\n return;\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config]();\n });\n }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault();\n }\n\n if (isDisabled(this)) {\n return;\n }\n\n Tab.getOrCreateInstance(this).show();\n});\n/**\n * Initialize on focus\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n Tab.getOrCreateInstance(element);\n }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\n\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n animation: 'boolean',\n autohide: 'boolean',\n delay: 'number'\n};\nconst Default = {\n animation: true,\n autohide: true,\n delay: 5000\n};\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n constructor(element, config) {\n super(element, config);\n this._timeout = null;\n this._hasMouseInteraction = false;\n this._hasKeyboardInteraction = false;\n\n this._setListeners();\n } // Getters\n\n\n static get Default() {\n return Default;\n }\n\n static get DefaultType() {\n return DefaultType;\n }\n\n static get NAME() {\n return NAME;\n } // Public\n\n\n show() {\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n\n if (showEvent.defaultPrevented) {\n return;\n }\n\n this._clearTimeout();\n\n if (this._config.animation) {\n this._element.classList.add(CLASS_NAME_FADE);\n }\n\n const complete = () => {\n this._element.classList.remove(CLASS_NAME_SHOWING);\n\n EventHandler.trigger(this._element, EVENT_SHOWN);\n\n this._maybeScheduleHide();\n };\n\n this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n\n\n reflow(this._element);\n\n this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n\n this._queueCallback(complete, this._element, this._config.animation);\n }\n\n hide() {\n if (!this.isShown()) {\n return;\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n\n if (hideEvent.defaultPrevented) {\n return;\n }\n\n const complete = () => {\n this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n\n\n this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n\n EventHandler.trigger(this._element, EVENT_HIDDEN);\n };\n\n this._element.classList.add(CLASS_NAME_SHOWING);\n\n this._queueCallback(complete, this._element, this._config.animation);\n }\n\n dispose() {\n this._clearTimeout();\n\n if (this.isShown()) {\n this._element.classList.remove(CLASS_NAME_SHOW);\n }\n\n super.dispose();\n }\n\n isShown() {\n return this._element.classList.contains(CLASS_NAME_SHOW);\n } // Private\n\n\n _maybeScheduleHide() {\n if (!this._config.autohide) {\n return;\n }\n\n if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n return;\n }\n\n this._timeout = setTimeout(() => {\n this.hide();\n }, this._config.delay);\n }\n\n _onInteraction(event, isInteracting) {\n switch (event.type) {\n case 'mouseover':\n case 'mouseout':\n {\n this._hasMouseInteraction = isInteracting;\n break;\n }\n\n case 'focusin':\n case 'focusout':\n {\n this._hasKeyboardInteraction = isInteracting;\n break;\n }\n }\n\n if (isInteracting) {\n this._clearTimeout();\n\n return;\n }\n\n const nextElement = event.relatedTarget;\n\n if (this._element === nextElement || this._element.contains(nextElement)) {\n return;\n }\n\n this._maybeScheduleHide();\n }\n\n _setListeners() {\n EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n }\n\n _clearTimeout() {\n clearTimeout(this._timeout);\n this._timeout = null;\n } // Static\n\n\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Toast.getOrCreateInstance(this, config);\n\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`);\n }\n\n data[config](this);\n }\n });\n }\n\n}\n/**\n * Data API implementation\n */\n\n\nenableDismissTrigger(Toast);\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n if (document.readyState != \"loading\") callback();\n else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// 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+ if(docContent === undefined) { + console.warn("Content block not found. Sphinx search tries to obtain it " + + "via '[role=main]'. Could you check your theme or template."); + return ""; + } + return docContent.textContent || docContent.innerText; + }, + + init : function() { + var params = $.getQueryParameters(); + if (params.q) { + var query = params.q[0]; + $('input[name="q"]')[0].value = query; + this.performSearch(query); + } + }, + + loadIndex : function(url) { + $.ajax({type: "GET", url: url, data: null, + dataType: "script", cache: true, + complete: function(jqxhr, textstatus) { + if (textstatus != "success") { + document.getElementById("searchindexloader").src = url; + } + }}); + }, + + setIndex : function(index) { + var q; + this._index = index; + if ((q = this._queued_query) !== null) { + this._queued_query = null; + Search.query(q); + } + }, + + hasIndex : function() { + return this._index !== null; + }, + + deferQuery : function(query) { + this._queued_query = query; + }, + + stopPulse : function() { + this._pulse_status = 0; + }, + + startPulse : function() { + if (this._pulse_status >= 0) + return; + function pulse() { + var i; + Search._pulse_status = (Search._pulse_status + 1) % 4; + var dotString = ''; + for (i = 0; i < Search._pulse_status; i++) + dotString += '.'; + Search.dots.text(dotString); + if (Search._pulse_status > -1) + window.setTimeout(pulse, 500); + } + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch : function(query) { + // create the required interface elements + this.out = $('#search-results'); + this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out); + this.dots = $('<span></span>').appendTo(this.title); + this.status = $('<p class="search-summary">&nbsp;</p>').appendTo(this.out); + this.output = $('<ul class="search"/>').appendTo(this.out); + + $('#search-progress').text(_('Preparing search...')); + this.startPulse(); + + // index already loaded, the browser was quick! + if (this.hasIndex()) + this.query(query); + else + this.deferQuery(query); + }, + + /** + * execute search (requires search index to be loaded) + */ + query : function(query) { + var i; + + // stem the searchterms and add them to the correct list + var stemmer = new Stemmer(); + var searchterms = []; + var excluded = []; + var hlterms = []; + var tmp = splitQuery(query); + var objectterms = []; + for (i = 0; i < tmp.length; i++) { + if (tmp[i] !== "") { + objectterms.push(tmp[i].toLowerCase()); + } + + if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i] === "") { + // skip this "word" + continue; + } + // stem the word + var word = stemmer.stemWord(tmp[i].toLowerCase()); + var toAppend; + // select the correct list + if (word[0] == '-') { + toAppend = excluded; + word = word.substr(1); + } + else { + toAppend = searchterms; + hlterms.push(tmp[i].toLowerCase()); + } + // only add if not already in the list + if (!$u.contains(toAppend, word)) + toAppend.push(word); + } + var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" ")); + + // console.debug('SEARCH: searching for:'); + // console.info('required: ', searchterms); + // console.info('excluded: ', excluded); + + // prepare search + var terms = this._index.terms; + var titleterms = this._index.titleterms; + + // array of [filename, title, anchor, descr, score] + var results = []; + $('#search-progress').empty(); + + // lookup as object + for (i = 0; i < objectterms.length; i++) { + var others = [].concat(objectterms.slice(0, i), + objectterms.slice(i+1, objectterms.length)); + results = results.concat(this.performObjectSearch(objectterms[i], others)); + } + + // lookup as search terms in fulltext + results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms)); + + // let the scorer override scores with a custom scoring function + if (Scorer.score) { + for (i = 0; i < results.length; i++) + results[i][4] = Scorer.score(results[i]); + } + + // now sort the results by score (in opposite order of appearance, since the + // display function below uses pop() to retrieve items) and then + // alphabetically + results.sort(function(a, b) { + var left = a[4]; + var right = b[4]; + if (left > right) { + return 1; + } else if (left < right) { + return -1; + } else { + // same score: sort alphabetically + left = a[1].toLowerCase(); + right = b[1].toLowerCase(); + return (left > right) ? -1 : ((left < right) ? 1 : 0); + } + }); + + // for debugging + //Search.lastresults = results.slice(); // a copy + //console.info('search results:', Search.lastresults); + + // print the results + var resultCount = results.length; + function displayNextItem() { + // results left, load the summary and display it + if (results.length) { + var item = results.pop(); + var listItem = $('<li></li>'); + var requestUrl = ""; + var linkUrl = ""; + if (DOCUMENTATION_OPTIONS.BUILDER === 'dirhtml') { + // dirhtml builder + var dirname = item[0] + '/'; + if (dirname.match(/\/index\/$/)) { + dirname = dirname.substring(0, dirname.length-6); + } else if (dirname == 'index/') { + dirname = ''; + } + requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + dirname; + linkUrl = requestUrl; + + } else { + // normal html builders + requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX; + linkUrl = item[0] + DOCUMENTATION_OPTIONS.LINK_SUFFIX; + } + listItem.append($('<a/>').attr('href', + linkUrl + + highlightstring + item[2]).html(item[1])); + if (item[3]) { + listItem.append($('<span> (' + item[3] + ')</span>')); + Search.output.append(listItem); + setTimeout(function() { + displayNextItem(); + }, 5); + } else if (DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY) { + $.ajax({url: requestUrl, + dataType: "text", + complete: function(jqxhr, textstatus) { + var data = jqxhr.responseText; + if (data !== '' && data !== undefined) { + var summary = Search.makeSearchSummary(data, searchterms, hlterms); + if (summary) { + listItem.append(summary); + } + } + Search.output.append(listItem); + setTimeout(function() { + displayNextItem(); + }, 5); + }}); + } else { + // just display title + Search.output.append(listItem); + setTimeout(function() { + displayNextItem(); + }, 5); + } + } + // search finished, update title and status message + else { + Search.stopPulse(); + Search.title.text(_('Search Results')); + if (!resultCount) + Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.')); + else + Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount)); + Search.status.fadeIn(500); + } + } + displayNextItem(); + }, + + /** + * search for object names + */ + performObjectSearch : function(object, otherterms) { + var filenames = this._index.filenames; + var docnames = this._index.docnames; + var objects = this._index.objects; + var objnames = this._index.objnames; + var titles = this._index.titles; + + var i; + var results = []; + + for (var prefix in objects) { + for (var iMatch = 0; iMatch != objects[prefix].length; ++iMatch) { + var match = objects[prefix][iMatch]; + var name = match[4]; + var fullname = (prefix ? prefix + '.' : '') + name; + var fullnameLower = fullname.toLowerCase() + if (fullnameLower.indexOf(object) > -1) { + var score = 0; + var parts = fullnameLower.split('.'); + // check for different match types: exact matches of full name or + // "last name" (i.e. last dotted part) + if (fullnameLower == object || parts[parts.length - 1] == object) { + score += Scorer.objNameMatch; + // matches in last name + } else if (parts[parts.length - 1].indexOf(object) > -1) { + score += Scorer.objPartialMatch; + } + var objname = objnames[match[1]][2]; + var title = titles[match[0]]; + // If more than one term searched for, we require other words to be + // found in the name/title/description + if (otherterms.length > 0) { + var haystack = (prefix + ' ' + name + ' ' + + objname + ' ' + title).toLowerCase(); + var allfound = true; + for (i = 0; i < otherterms.length; i++) { + if (haystack.indexOf(otherterms[i]) == -1) { + allfound = false; + break; + } + } + if (!allfound) { + continue; + } + } + var descr = objname + _(', in ') + title; + + var anchor = match[3]; + if (anchor === '') + anchor = fullname; + else if (anchor == '-') + anchor = objnames[match[1]][1] + '-' + fullname; + // add custom score for some objects according to scorer + if (Scorer.objPrio.hasOwnProperty(match[2])) { + score += Scorer.objPrio[match[2]]; + } else { + score += Scorer.objPrioDefault; + } + results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]); + } + } + } + + return results; + }, + + /** + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions + */ + escapeRegExp : function(string) { + return string.replace(/[.*+\-?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string + }, + + /** + * search for full-text terms in the index + */ + performTermsSearch : function(searchterms, excluded, terms, titleterms) { + var docnames = this._index.docnames; + var filenames = this._index.filenames; + var titles = this._index.titles; + + var i, j, file; + var fileMap = {}; + var scoreMap = {}; + var results = []; + + // perform the search on the required terms + for (i = 0; i < searchterms.length; i++) { + var word = searchterms[i]; + var files = []; + var _o = [ + {files: terms[word], score: Scorer.term}, + {files: titleterms[word], score: Scorer.title} + ]; + // add support for partial matches + if (word.length > 2) { + var word_regex = this.escapeRegExp(word); + for (var w in terms) { + if (w.match(word_regex) && !terms[word]) { + _o.push({files: terms[w], score: Scorer.partialTerm}) + } + } + for (var w in titleterms) { + if (w.match(word_regex) && !titleterms[word]) { + _o.push({files: titleterms[w], score: Scorer.partialTitle}) + } + } + } + + // no match but word was a required one + if ($u.every(_o, function(o){return o.files === undefined;})) { + break; + } + // found search word in contents + $u.each(_o, function(o) { + var _files = o.files; + if (_files === undefined) + return + + if (_files.length === undefined) + _files = [_files]; + files = files.concat(_files); + + // set score for the word in each file to Scorer.term + for (j = 0; j < _files.length; j++) { + file = _files[j]; + if (!(file in scoreMap)) + scoreMap[file] = {}; + scoreMap[file][word] = o.score; + } + }); + + // create the mapping + for (j = 0; j < files.length; j++) { + file = files[j]; + if (file in fileMap && fileMap[file].indexOf(word) === -1) + fileMap[file].push(word); + else + fileMap[file] = [word]; + } + } + + // now check if the files don't contain excluded terms + for (file in fileMap) { + var valid = true; + + // check if all requirements are matched + var filteredTermCount = // as search terms with length < 3 are discarded: ignore + searchterms.filter(function(term){return term.length > 2}).length + if ( + fileMap[file].length != searchterms.length && + fileMap[file].length != filteredTermCount + ) continue; + + // ensure that none of the excluded terms is in the search result + for (i = 0; i < excluded.length; i++) { + if (terms[excluded[i]] == file || + titleterms[excluded[i]] == file || + $u.contains(terms[excluded[i]] || [], file) || + $u.contains(titleterms[excluded[i]] || [], file)) { + valid = false; + break; + } + } + + // if we have still a valid result we can add it to the result list + if (valid) { + // select one (max) score for the file. + // for better ranking, we should calculate ranking by using words statistics like basic tf-idf... + var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]})); + results.push([docnames[file], titles[file], '', null, score, filenames[file]]); + } + } + return results; + }, + + /** + * helper function to return a node containing the + * search summary for a given text. keywords is a list + * of stemmed words, hlwords is the list of normal, unstemmed + * words. the first one is used to find the occurrence, the + * latter for highlighting it. + */ + makeSearchSummary : function(htmlText, keywords, hlwords) { + var text = Search.htmlToText(htmlText); + if (text == "") { + return null; + } + var textLower = text.toLowerCase(); + var start = 0; + $.each(keywords, function() { + var i = textLower.indexOf(this.toLowerCase()); + if (i > -1) + start = i; + }); + start = Math.max(start - 120, 0); + var excerpt = ((start > 0) ? '...' : '') + + $.trim(text.substr(start, 240)) + + ((start + 240 - text.length) ? '...' : ''); + var rv = $('<p class="context"></p>').text(excerpt); + $.each(hlwords, function() { + rv = rv.highlightText(this, 'highlighted'); + }); + return rv; + } +}; + +$(document).ready(function() { + Search.init(); +}); diff --git a/_static/styles/bootstrap.css b/_static/styles/bootstrap.css new file mode 100644 index 00000000..0aa5f54f --- /dev/null +++ b/_static/styles/bootstrap.css @@ -0,0 +1,6 @@ +/*! + * Bootstrap v5.2.3 (https://getbootstrap.com/) + * Copyright 2011-2022 The Bootstrap Authors + * Copyright 2011-2022 Twitter, Inc. + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE) + 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rgba(13,110,253,.25);--bs-pagination-active-color:#fff;--bs-pagination-active-bg:#0d6efd;--bs-pagination-active-border-color:#0d6efd;--bs-pagination-disabled-color:#6c757d;--bs-pagination-disabled-bg:#fff;--bs-pagination-disabled-border-color:#dee2e6;display:flex;list-style:none;padding-left:0}.page-link{background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);color:var(--bs-pagination-color);display:block;font-size:var(--bs-pagination-font-size);padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);position:relative;text-decoration:none;transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{background-color:#cfe2ff;color:#084298}.list-group-item-primary.list-group-item-action:focus,.list-group-item-primary.list-group-item-action:hover{background-color:#bacbe6;color:#084298}.list-group-item-primary.list-group-item-action.active{background-color:#084298;border-color:#084298;color:#fff}.list-group-item-secondary{background-color:#e2e3e5;color:#41464b}.list-group-item-secondary.list-group-item-action:focus,.list-group-item-secondary.list-group-item-action:hover{background-color:#cbccce;color:#41464b}.list-group-item-secondary.list-group-item-action.active{background-color:#41464b;border-color:#41464b;color:#fff}.list-group-item-success{background-color:#d1e7dd;color:#0f5132}.list-group-item-success.list-group-item-action:focus,.list-group-item-success.list-group-item-action:hover{background-color:#bcd0c7;color:#0f5132}.list-group-item-success.list-group-item-action.active{background-color:#0f5132;border-color:#0f5132;color:#fff}.list-group-item-info{background-color:#cff4fc;color:#055160}.list-group-item-info.list-group-item-action:focus,.list-group-item-info.list-group-item-action:hover{background-color:#badce3;color:#055160}.list-group-item-info.list-group-item-action.active{background-color:#055160;border-color:#055160;color:#fff}.list-group-item-warning{background-color:#fff3cd;color:#664d03}.list-group-item-warning.list-group-item-action:focus,.list-group-item-warning.list-group-item-action:hover{background-color:#e6dbb9;color:#664d03}.list-group-item-warning.list-group-item-action.active{background-color:#664d03;border-color:#664d03;color:#fff}.list-group-item-danger{background-color:#f8d7da;color:#842029}.list-group-item-danger.list-group-item-action:focus,.list-group-item-danger.list-group-item-action:hover{background-color:#dfc2c4;color:#842029}.list-group-item-danger.list-group-item-action.active{background-color:#842029;border-color:#842029;color:#fff}.list-group-item-light{background-color:#fefefe;color:#636464}.list-group-item-light.list-group-item-action:focus,.list-group-item-light.list-group-item-action:hover{background-color:#e5e5e5;color:#636464}.list-group-item-light.list-group-item-action.active{background-color:#636464;border-color:#636464;color:#fff}.list-group-item-dark{background-color:#d3d3d4;color:#141619}.list-group-item-dark.list-group-item-action:focus,.list-group-item-dark.list-group-item-action:hover{background-color:#bebebf;color:#141619}.list-group-item-dark.list-group-item-action.active{background-color:#141619;border-color:#141619;color:#fff}.btn-close{background:transparent url("data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3E%3Cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3E%3C/svg%3E") 50%/1em auto no-repeat;border:0;border-radius:.375rem;box-sizing:content-box;color:#000;height:1em;opacity:.5;padding:.25em;width:1em}.btn-close:hover{color:#000;opacity:.75;text-decoration:none}.btn-close:focus{box-shadow:0 0 0 .25rem rgba(13,110,253,.25);opacity:1;outline:0}.btn-close.disabled,.btn-close:disabled{opacity:.25;pointer-events:none;user-select:none}.btn-close-white{filter:invert(1) grayscale(100%) brightness(200%)}.toast{--bs-toast-zindex:1090;--bs-toast-padding-x:0.75rem;--bs-toast-padding-y:0.5rem;--bs-toast-spacing:1.5rem;--bs-toast-max-width:350px;--bs-toast-font-size:0.875rem;--bs-toast-color: 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00000000..4519dd91 --- /dev/null +++ b/_static/styles/theme.css @@ -0,0 +1,2 @@ +/* Provided by Sphinx's 'basic' theme, and included in the final set of assets */ +@import "../basic.css"; diff --git a/_static/underscore-1.13.1.js b/_static/underscore-1.13.1.js new file mode 100644 index 00000000..ffd77af9 --- /dev/null +++ b/_static/underscore-1.13.1.js @@ -0,0 +1,2042 @@ +(function (global, factory) { + typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() : + typeof define === 'function' && define.amd ? define('underscore', factory) : + (global = typeof globalThis !== 'undefined' ? globalThis : global || self, (function () { + var current = global._; + var exports = global._ = factory(); + exports.noConflict = function () { global._ = current; return exports; }; + }())); +}(this, (function () { + // Underscore.js 1.13.1 + // https://underscorejs.org + // (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors + // Underscore may be freely distributed under the MIT license. + + // Current version. + var VERSION = '1.13.1'; + + // Establish the root object, `window` (`self`) in the browser, `global` + // on the server, or `this` in some virtual machines. We use `self` + // instead of `window` for `WebWorker` support. + var root = typeof self == 'object' && self.self === self && self || + typeof global == 'object' && global.global === global && global || + Function('return this')() || + {}; + + // Save bytes in the minified (but not gzipped) version: + var ArrayProto = Array.prototype, ObjProto = Object.prototype; + var SymbolProto = typeof Symbol !== 'undefined' ? Symbol.prototype : null; + + // Create quick reference variables for speed access to core prototypes. + var push = ArrayProto.push, + slice = ArrayProto.slice, + toString = ObjProto.toString, + hasOwnProperty = ObjProto.hasOwnProperty; + + // Modern feature detection. + var supportsArrayBuffer = typeof ArrayBuffer !== 'undefined', + supportsDataView = typeof DataView !== 'undefined'; + + // All **ECMAScript 5+** native function implementations that we hope to use + // are declared here. + var nativeIsArray = Array.isArray, + nativeKeys = Object.keys, + nativeCreate = Object.create, + nativeIsView = supportsArrayBuffer && ArrayBuffer.isView; + + // Create references to these builtin functions because we override them. + var _isNaN = isNaN, + _isFinite = isFinite; + + // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed. + var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString'); + var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString', + 'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString']; + + // The largest integer that can be represented exactly. + var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1; + + // Some functions take a variable number of arguments, or a few expected + // arguments at the beginning and then a variable number of values to operate + // on. This helper accumulates all remaining arguments past the function’s + // argument length (or an explicit `startIndex`), into an array that becomes + // the last argument. Similar to ES6’s "rest parameter". + function restArguments(func, startIndex) { + startIndex = startIndex == null ? func.length - 1 : +startIndex; + return function() { + var length = Math.max(arguments.length - startIndex, 0), + rest = Array(length), + index = 0; + for (; index < length; index++) { + rest[index] = arguments[index + startIndex]; + } + switch (startIndex) { + case 0: return func.call(this, rest); + case 1: return func.call(this, arguments[0], rest); + case 2: return func.call(this, arguments[0], arguments[1], rest); + } + var args = Array(startIndex + 1); + for (index = 0; index < startIndex; index++) { + args[index] = arguments[index]; + } + args[startIndex] = rest; + return func.apply(this, args); + }; + } + + // Is a given variable an object? + function isObject(obj) { + var type = typeof obj; + return type === 'function' || type === 'object' && !!obj; + } + + // Is a given value equal to null? + function isNull(obj) { + return obj === null; + } + + // Is a given variable undefined? + function isUndefined(obj) { + return obj === void 0; + } + + // Is a given value a boolean? + function isBoolean(obj) { + return obj === true || obj === false || toString.call(obj) === '[object Boolean]'; + } + + // Is a given value a DOM element? + function isElement(obj) { + return !!(obj && obj.nodeType === 1); + } + + // Internal function for creating a `toString`-based type tester. + function tagTester(name) { + var tag = '[object ' + name + ']'; + return function(obj) { + return toString.call(obj) === tag; + }; + } + + var isString = tagTester('String'); + + var isNumber = tagTester('Number'); + + var isDate = tagTester('Date'); + + var isRegExp = tagTester('RegExp'); + + var isError = tagTester('Error'); + + var isSymbol = tagTester('Symbol'); + + var isArrayBuffer = tagTester('ArrayBuffer'); + + var isFunction = tagTester('Function'); + + // Optimize `isFunction` if appropriate. Work around some `typeof` bugs in old + // v8, IE 11 (#1621), Safari 8 (#1929), and PhantomJS (#2236). + var nodelist = root.document && root.document.childNodes; + if (typeof /./ != 'function' && typeof Int8Array != 'object' && typeof nodelist != 'function') { + isFunction = function(obj) { + return typeof obj == 'function' || false; + }; + } + + var isFunction$1 = isFunction; + + var hasObjectTag = tagTester('Object'); + + // In IE 10 - Edge 13, `DataView` has string tag `'[object Object]'`. + // In IE 11, the most common among them, this problem also applies to + // `Map`, `WeakMap` and `Set`. + var hasStringTagBug = ( + supportsDataView && hasObjectTag(new DataView(new ArrayBuffer(8))) + ), + isIE11 = (typeof Map !== 'undefined' && hasObjectTag(new Map)); + + var isDataView = tagTester('DataView'); + + // In IE 10 - Edge 13, we need a different heuristic + // to determine whether an object is a `DataView`. + function ie10IsDataView(obj) { + return obj != null && isFunction$1(obj.getInt8) && isArrayBuffer(obj.buffer); + } + + var isDataView$1 = (hasStringTagBug ? ie10IsDataView : isDataView); + + // Is a given value an array? + // Delegates to ECMA5's native `Array.isArray`. + var isArray = nativeIsArray || tagTester('Array'); + + // Internal function to check whether `key` is an own property name of `obj`. + function has$1(obj, key) { + return obj != null && hasOwnProperty.call(obj, key); + } + + var isArguments = tagTester('Arguments'); + + // Define a fallback version of the method in browsers (ahem, IE < 9), where + // there isn't any inspectable "Arguments" type. + (function() { + if (!isArguments(arguments)) { + isArguments = function(obj) { + return has$1(obj, 'callee'); + }; + } + }()); + + var isArguments$1 = isArguments; + + // Is a given object a finite number? + function isFinite$1(obj) { + return !isSymbol(obj) && _isFinite(obj) && !isNaN(parseFloat(obj)); + } + + // Is the given value `NaN`? + function isNaN$1(obj) { + return isNumber(obj) && _isNaN(obj); + } + + // Predicate-generating function. Often useful outside of Underscore. + function constant(value) { + return function() { + return value; + }; + } + + // Common internal logic for `isArrayLike` and `isBufferLike`. + function createSizePropertyCheck(getSizeProperty) { + return function(collection) { + var sizeProperty = getSizeProperty(collection); + return typeof sizeProperty == 'number' && sizeProperty >= 0 && sizeProperty <= MAX_ARRAY_INDEX; + } + } + + // Internal helper to generate a function to obtain property `key` from `obj`. + function shallowProperty(key) { + return function(obj) { + return obj == null ? void 0 : obj[key]; + }; + } + + // Internal helper to obtain the `byteLength` property of an object. + var getByteLength = shallowProperty('byteLength'); + + // Internal helper to determine whether we should spend extensive checks against + // `ArrayBuffer` et al. + var isBufferLike = createSizePropertyCheck(getByteLength); + + // Is a given value a typed array? + var typedArrayPattern = /\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/; + function isTypedArray(obj) { + // `ArrayBuffer.isView` is the most future-proof, so use it when available. + // Otherwise, fall back on the above regular expression. + return nativeIsView ? (nativeIsView(obj) && !isDataView$1(obj)) : + isBufferLike(obj) && typedArrayPattern.test(toString.call(obj)); + } + + var isTypedArray$1 = supportsArrayBuffer ? isTypedArray : constant(false); + + // Internal helper to obtain the `length` property of an object. + var getLength = shallowProperty('length'); + + // Internal helper to create a simple lookup structure. + // `collectNonEnumProps` used to depend on `_.contains`, but this led to + // circular imports. `emulatedSet` is a one-off solution that only works for + // arrays of strings. + function emulatedSet(keys) { + var hash = {}; + for (var l = keys.length, i = 0; i < l; ++i) hash[keys[i]] = true; + return { + contains: function(key) { return hash[key]; }, + push: function(key) { + hash[key] = true; + return keys.push(key); + } + }; + } + + // Internal helper. Checks `keys` for the presence of keys in IE < 9 that won't + // be iterated by `for key in ...` and thus missed. Extends `keys` in place if + // needed. + function collectNonEnumProps(obj, keys) { + keys = emulatedSet(keys); + var nonEnumIdx = nonEnumerableProps.length; + var constructor = obj.constructor; + var proto = isFunction$1(constructor) && constructor.prototype || ObjProto; + + // Constructor is a special case. + var prop = 'constructor'; + if (has$1(obj, prop) && !keys.contains(prop)) keys.push(prop); + + while (nonEnumIdx--) { + prop = nonEnumerableProps[nonEnumIdx]; + if (prop in obj && obj[prop] !== proto[prop] && !keys.contains(prop)) { + keys.push(prop); + } + } + } + + // Retrieve the names of an object's own properties. + // Delegates to **ECMAScript 5**'s native `Object.keys`. + function keys(obj) { + if (!isObject(obj)) return []; + if (nativeKeys) return nativeKeys(obj); + var keys = []; + for (var key in obj) if (has$1(obj, key)) keys.push(key); + // Ahem, IE < 9. + if (hasEnumBug) collectNonEnumProps(obj, keys); + return keys; + } + + // Is a given array, string, or object empty? + // An "empty" object has no enumerable own-properties. + function isEmpty(obj) { + if (obj == null) return true; + // Skip the more expensive `toString`-based type checks if `obj` has no + // `.length`. + var length = getLength(obj); + if (typeof length == 'number' && ( + isArray(obj) || isString(obj) || isArguments$1(obj) + )) return length === 0; + return getLength(keys(obj)) === 0; + } + + // Returns whether an object has a given set of `key:value` pairs. + function isMatch(object, attrs) { + var _keys = keys(attrs), length = _keys.length; + if (object == null) return !length; + var obj = Object(object); + for (var i = 0; i < length; i++) { + var key = _keys[i]; + if (attrs[key] !== obj[key] || !(key in obj)) return false; + } + return true; + } + + // If Underscore is called as a function, it returns a wrapped object that can + // be used OO-style. This wrapper holds altered versions of all functions added + // through `_.mixin`. Wrapped objects may be chained. + function _$1(obj) { + if (obj instanceof _$1) return obj; + if (!(this instanceof _$1)) return new _$1(obj); + this._wrapped = obj; + } + + _$1.VERSION = VERSION; + + // Extracts the result from a wrapped and chained object. + _$1.prototype.value = function() { + return this._wrapped; + }; + + // Provide unwrapping proxies for some methods used in engine operations + // such as arithmetic and JSON stringification. + _$1.prototype.valueOf = _$1.prototype.toJSON = _$1.prototype.value; + + _$1.prototype.toString = function() { + return String(this._wrapped); + }; + + // Internal function to wrap or shallow-copy an ArrayBuffer, + // typed array or DataView to a new view, reusing the buffer. + function toBufferView(bufferSource) { + return new Uint8Array( + bufferSource.buffer || bufferSource, + bufferSource.byteOffset || 0, + getByteLength(bufferSource) + ); + } + + // We use this string twice, so give it a name for minification. + var tagDataView = '[object DataView]'; + + // Internal recursive comparison function for `_.isEqual`. + function eq(a, b, aStack, bStack) { + // Identical objects are equal. `0 === -0`, but they aren't identical. + // See the [Harmony `egal` proposal](https://wiki.ecmascript.org/doku.php?id=harmony:egal). + if (a === b) return a !== 0 || 1 / a === 1 / b; + // `null` or `undefined` only equal to itself (strict comparison). + if (a == null || b == null) return false; + // `NaN`s are equivalent, but non-reflexive. + if (a !== a) return b !== b; + // Exhaust primitive checks + var type = typeof a; + if (type !== 'function' && type !== 'object' && typeof b != 'object') return false; + return deepEq(a, b, aStack, bStack); + } + + // Internal recursive comparison function for `_.isEqual`. + function deepEq(a, b, aStack, bStack) { + // Unwrap any wrapped objects. + if (a instanceof _$1) a = a._wrapped; + if (b instanceof _$1) b = b._wrapped; + // Compare `[[Class]]` names. + var className = toString.call(a); + if (className !== toString.call(b)) return false; + // Work around a bug in IE 10 - Edge 13. + if (hasStringTagBug && className == '[object Object]' && isDataView$1(a)) { + if (!isDataView$1(b)) return false; + className = tagDataView; + } + switch (className) { + // These types are compared by value. + case '[object RegExp]': + // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i') + case '[object String]': + // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is + // equivalent to `new String("5")`. + return '' + a === '' + b; + case '[object Number]': + // `NaN`s are equivalent, but non-reflexive. + // Object(NaN) is equivalent to NaN. + if (+a !== +a) return +b !== +b; + // An `egal` comparison is performed for other numeric values. + return +a === 0 ? 1 / +a === 1 / b : +a === +b; + case '[object Date]': + case '[object Boolean]': + // Coerce dates and booleans to numeric primitive values. Dates are compared by their + // millisecond representations. Note that invalid dates with millisecond representations + // of `NaN` are not equivalent. + return +a === +b; + case '[object Symbol]': + return SymbolProto.valueOf.call(a) === SymbolProto.valueOf.call(b); + case '[object ArrayBuffer]': + case tagDataView: + // Coerce to typed array so we can fall through. + return deepEq(toBufferView(a), toBufferView(b), aStack, bStack); + } + + var areArrays = className === '[object Array]'; + if (!areArrays && isTypedArray$1(a)) { + var byteLength = getByteLength(a); + if (byteLength !== getByteLength(b)) return false; + if (a.buffer === b.buffer && a.byteOffset === b.byteOffset) return true; + areArrays = true; + } + if (!areArrays) { + if (typeof a != 'object' || typeof b != 'object') return false; + + // Objects with different constructors are not equivalent, but `Object`s or `Array`s + // from different frames are. + var aCtor = a.constructor, bCtor = b.constructor; + if (aCtor !== bCtor && !(isFunction$1(aCtor) && aCtor instanceof aCtor && + isFunction$1(bCtor) && bCtor instanceof bCtor) + && ('constructor' in a && 'constructor' in b)) { + return false; + } + } + // Assume equality for cyclic structures. The algorithm for detecting cyclic + // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`. + + // Initializing stack of traversed objects. + // It's done here since we only need them for objects and arrays comparison. + aStack = aStack || []; + bStack = bStack || []; + var length = aStack.length; + while (length--) { + // Linear search. Performance is inversely proportional to the number of + // unique nested structures. + if (aStack[length] === a) return bStack[length] === b; + } + + // Add the first object to the stack of traversed objects. + aStack.push(a); + bStack.push(b); + + // Recursively compare objects and arrays. + if (areArrays) { + // Compare array lengths to determine if a deep comparison is necessary. + length = a.length; + if (length !== b.length) return false; + // Deep compare the contents, ignoring non-numeric properties. + while (length--) { + if (!eq(a[length], b[length], aStack, bStack)) return false; + } + } else { + // Deep compare objects. + var _keys = keys(a), key; + length = _keys.length; + // Ensure that both objects contain the same number of properties before comparing deep equality. + if (keys(b).length !== length) return false; + while (length--) { + // Deep compare each member + key = _keys[length]; + if (!(has$1(b, key) && eq(a[key], b[key], aStack, bStack))) return false; + } + } + // Remove the first object from the stack of traversed objects. + aStack.pop(); + bStack.pop(); + return true; + } + + // Perform a deep comparison to check if two objects are equal. + function isEqual(a, b) { + return eq(a, b); + } + + // Retrieve all the enumerable property names of an object. + function allKeys(obj) { + if (!isObject(obj)) return []; + var keys = []; + for (var key in obj) keys.push(key); + // Ahem, IE < 9. + if (hasEnumBug) collectNonEnumProps(obj, keys); + return keys; + } + + // Since the regular `Object.prototype.toString` type tests don't work for + // some types in IE 11, we use a fingerprinting heuristic instead, based + // on the methods. It's not great, but it's the best we got. + // The fingerprint method lists are defined below. + function ie11fingerprint(methods) { + var length = getLength(methods); + return function(obj) { + if (obj == null) return false; + // `Map`, `WeakMap` and `Set` have no enumerable keys. + var keys = allKeys(obj); + if (getLength(keys)) return false; + for (var i = 0; i < length; i++) { + if (!isFunction$1(obj[methods[i]])) return false; + } + // If we are testing against `WeakMap`, we need to ensure that + // `obj` doesn't have a `forEach` method in order to distinguish + // it from a regular `Map`. + return methods !== weakMapMethods || !isFunction$1(obj[forEachName]); + }; + } + + // In the interest of compact minification, we write + // each string in the fingerprints only once. + var forEachName = 'forEach', + hasName = 'has', + commonInit = ['clear', 'delete'], + mapTail = ['get', hasName, 'set']; + + // `Map`, `WeakMap` and `Set` each have slightly different + // combinations of the above sublists. + var mapMethods = commonInit.concat(forEachName, mapTail), + weakMapMethods = commonInit.concat(mapTail), + setMethods = ['add'].concat(commonInit, forEachName, hasName); + + var isMap = isIE11 ? ie11fingerprint(mapMethods) : tagTester('Map'); + + var isWeakMap = isIE11 ? ie11fingerprint(weakMapMethods) : tagTester('WeakMap'); + + var isSet = isIE11 ? ie11fingerprint(setMethods) : tagTester('Set'); + + var isWeakSet = tagTester('WeakSet'); + + // Retrieve the values of an object's properties. + function values(obj) { + var _keys = keys(obj); + var length = _keys.length; + var values = Array(length); + for (var i = 0; i < length; i++) { + values[i] = obj[_keys[i]]; + } + return values; + } + + // Convert an object into a list of `[key, value]` pairs. + // The opposite of `_.object` with one argument. + function pairs(obj) { + var _keys = keys(obj); + var length = _keys.length; + var pairs = Array(length); + for (var i = 0; i < length; i++) { + pairs[i] = [_keys[i], obj[_keys[i]]]; + } + return pairs; + } + + // Invert the keys and values of an object. The values must be serializable. + function invert(obj) { + var result = {}; + var _keys = keys(obj); + for (var i = 0, length = _keys.length; i < length; i++) { + result[obj[_keys[i]]] = _keys[i]; + } + return result; + } + + // Return a sorted list of the function names available on the object. + function functions(obj) { + var names = []; + for (var key in obj) { + if (isFunction$1(obj[key])) names.push(key); + } + return names.sort(); + } + + // An internal function for creating assigner functions. + function createAssigner(keysFunc, defaults) { + return function(obj) { + var length = arguments.length; + if (defaults) obj = Object(obj); + if (length < 2 || obj == null) return obj; + for (var index = 1; index < length; index++) { + var source = arguments[index], + keys = keysFunc(source), + l = keys.length; + for (var i = 0; i < l; i++) { + var key = keys[i]; + if (!defaults || obj[key] === void 0) obj[key] = source[key]; + } + } + return obj; + }; + } + + // Extend a given object with all the properties in passed-in object(s). + var extend = createAssigner(allKeys); + + // Assigns a given object with all the own properties in the passed-in + // object(s). + // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign) + var extendOwn = createAssigner(keys); + + // Fill in a given object with default properties. + var defaults = createAssigner(allKeys, true); + + // Create a naked function reference for surrogate-prototype-swapping. + function ctor() { + return function(){}; + } + + // An internal function for creating a new object that inherits from another. + function baseCreate(prototype) { + if (!isObject(prototype)) return {}; + if (nativeCreate) return nativeCreate(prototype); + var Ctor = ctor(); + Ctor.prototype = prototype; + var result = new Ctor; + Ctor.prototype = null; + return result; + } + + // Creates an object that inherits from the given prototype object. + // If additional properties are provided then they will be added to the + // created object. + function create(prototype, props) { + var result = baseCreate(prototype); + if (props) extendOwn(result, props); + return result; + } + + // Create a (shallow-cloned) duplicate of an object. + function clone(obj) { + if (!isObject(obj)) return obj; + return isArray(obj) ? obj.slice() : extend({}, obj); + } + + // Invokes `interceptor` with the `obj` and then returns `obj`. + // The primary purpose of this method is to "tap into" a method chain, in + // order to perform operations on intermediate results within the chain. + function tap(obj, interceptor) { + interceptor(obj); + return obj; + } + + // Normalize a (deep) property `path` to array. + // Like `_.iteratee`, this function can be customized. + function toPath$1(path) { + return isArray(path) ? path : [path]; + } + _$1.toPath = toPath$1; + + // Internal wrapper for `_.toPath` to enable minification. + // Similar to `cb` for `_.iteratee`. + function toPath(path) { + return _$1.toPath(path); + } + + // Internal function to obtain a nested property in `obj` along `path`. + function deepGet(obj, path) { + var length = path.length; + for (var i = 0; i < length; i++) { + if (obj == null) return void 0; + obj = obj[path[i]]; + } + return length ? obj : void 0; + } + + // Get the value of the (deep) property on `path` from `object`. + // If any property in `path` does not exist or if the value is + // `undefined`, return `defaultValue` instead. + // The `path` is normalized through `_.toPath`. + function get(object, path, defaultValue) { + var value = deepGet(object, toPath(path)); + return isUndefined(value) ? defaultValue : value; + } + + // Shortcut function for checking if an object has a given property directly on + // itself (in other words, not on a prototype). Unlike the internal `has` + // function, this public version can also traverse nested properties. + function has(obj, path) { + path = toPath(path); + var length = path.length; + for (var i = 0; i < length; i++) { + var key = path[i]; + if (!has$1(obj, key)) return false; + obj = obj[key]; + } + return !!length; + } + + // Keep the identity function around for default iteratees. + function identity(value) { + return value; + } + + // Returns a predicate for checking whether an object has a given set of + // `key:value` pairs. + function matcher(attrs) { + attrs = extendOwn({}, attrs); + return function(obj) { + return isMatch(obj, attrs); + }; + } + + // Creates a function that, when passed an object, will traverse that object’s + // properties down the given `path`, specified as an array of keys or indices. + function property(path) { + path = toPath(path); + return function(obj) { + return deepGet(obj, path); + }; + } + + // Internal function that returns an efficient (for current engines) version + // of the passed-in callback, to be repeatedly applied in other Underscore + // functions. + function optimizeCb(func, context, argCount) { + if (context === void 0) return func; + switch (argCount == null ? 3 : argCount) { + case 1: return function(value) { + return func.call(context, value); + }; + // The 2-argument case is omitted because we’re not using it. + case 3: return function(value, index, collection) { + return func.call(context, value, index, collection); + }; + case 4: return function(accumulator, value, index, collection) { + return func.call(context, accumulator, value, index, collection); + }; + } + return function() { + return func.apply(context, arguments); + }; + } + + // An internal function to generate callbacks that can be applied to each + // element in a collection, returning the desired result — either `_.identity`, + // an arbitrary callback, a property matcher, or a property accessor. + function baseIteratee(value, context, argCount) { + if (value == null) return identity; + if (isFunction$1(value)) return optimizeCb(value, context, argCount); + if (isObject(value) && !isArray(value)) return matcher(value); + return property(value); + } + + // External wrapper for our callback generator. Users may customize + // `_.iteratee` if they want additional predicate/iteratee shorthand styles. + // This abstraction hides the internal-only `argCount` argument. + function iteratee(value, context) { + return baseIteratee(value, context, Infinity); + } + _$1.iteratee = iteratee; + + // The function we call internally to generate a callback. It invokes + // `_.iteratee` if overridden, otherwise `baseIteratee`. + function cb(value, context, argCount) { + if (_$1.iteratee !== iteratee) return _$1.iteratee(value, context); + return baseIteratee(value, context, argCount); + } + + // Returns the results of applying the `iteratee` to each element of `obj`. + // In contrast to `_.map` it returns an object. + function mapObject(obj, iteratee, context) { + iteratee = cb(iteratee, context); + var _keys = keys(obj), + length = _keys.length, + results = {}; + for (var index = 0; index < length; index++) { + var currentKey = _keys[index]; + results[currentKey] = iteratee(obj[currentKey], currentKey, obj); + } + return results; + } + + // Predicate-generating function. Often useful outside of Underscore. + function noop(){} + + // Generates a function for a given object that returns a given property. + function propertyOf(obj) { + if (obj == null) return noop; + return function(path) { + return get(obj, path); + }; + } + + // Run a function **n** times. + function times(n, iteratee, context) { + var accum = Array(Math.max(0, n)); + iteratee = optimizeCb(iteratee, context, 1); + for (var i = 0; i < n; i++) accum[i] = iteratee(i); + return accum; + } + + // Return a random integer between `min` and `max` (inclusive). + function random(min, max) { + if (max == null) { + max = min; + min = 0; + } + return min + Math.floor(Math.random() * (max - min + 1)); + } + + // A (possibly faster) way to get the current timestamp as an integer. + var now = Date.now || function() { + return new Date().getTime(); + }; + + // Internal helper to generate functions for escaping and unescaping strings + // to/from HTML interpolation. + function createEscaper(map) { + var escaper = function(match) { + return map[match]; + }; + // Regexes for identifying a key that needs to be escaped. + var source = '(?:' + keys(map).join('|') + ')'; + var testRegexp = RegExp(source); + var replaceRegexp = RegExp(source, 'g'); + return function(string) { + string = string == null ? '' : '' + string; + return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string; + }; + } + + // Internal list of HTML entities for escaping. + var escapeMap = { + '&': '&amp;', + '<': '&lt;', + '>': '&gt;', + '"': '&quot;', + "'": '&#x27;', + '`': '&#x60;' + }; + + // Function for escaping strings to HTML interpolation. + var _escape = createEscaper(escapeMap); + + // Internal list of HTML entities for unescaping. + var unescapeMap = invert(escapeMap); + + // Function for unescaping strings from HTML interpolation. + var _unescape = createEscaper(unescapeMap); + + // By default, Underscore uses ERB-style template delimiters. Change the + // following template settings to use alternative delimiters. + var templateSettings = _$1.templateSettings = { + evaluate: /<%([\s\S]+?)%>/g, + interpolate: /<%=([\s\S]+?)%>/g, + escape: /<%-([\s\S]+?)%>/g + }; + + // When customizing `_.templateSettings`, if you don't want to define an + // interpolation, evaluation or escaping regex, we need one that is + // guaranteed not to match. + var noMatch = /(.)^/; + + // Certain characters need to be escaped so that they can be put into a + // string literal. + var escapes = { + "'": "'", + '\\': '\\', + '\r': 'r', + '\n': 'n', + '\u2028': 'u2028', + '\u2029': 'u2029' + }; + + var escapeRegExp = /\\|'|\r|\n|\u2028|\u2029/g; + + function escapeChar(match) { + return '\\' + escapes[match]; + } + + // In order to prevent third-party code injection through + // `_.templateSettings.variable`, we test it against the following regular + // expression. It is intentionally a bit more liberal than just matching valid + // identifiers, but still prevents possible loopholes through defaults or + // destructuring assignment. + var bareIdentifier = /^\s*(\w|\$)+\s*$/; + + // JavaScript micro-templating, similar to John Resig's implementation. + // Underscore templating handles arbitrary delimiters, preserves whitespace, + // and correctly escapes quotes within interpolated code. + // NB: `oldSettings` only exists for backwards compatibility. + function template(text, settings, oldSettings) { + if (!settings && oldSettings) settings = oldSettings; + settings = defaults({}, settings, _$1.templateSettings); + + // Combine delimiters into one regular expression via alternation. + var matcher = RegExp([ + (settings.escape || noMatch).source, + (settings.interpolate || noMatch).source, + (settings.evaluate || noMatch).source + ].join('|') + '|$', 'g'); + + // Compile the template source, escaping string literals appropriately. + var index = 0; + var source = "__p+='"; + text.replace(matcher, function(match, escape, interpolate, evaluate, offset) { + source += text.slice(index, offset).replace(escapeRegExp, escapeChar); + index = offset + match.length; + + if (escape) { + source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'"; + } else if (interpolate) { + source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'"; + } else if (evaluate) { + source += "';\n" + evaluate + "\n__p+='"; + } + + // Adobe VMs need the match returned to produce the correct offset. + return match; + }); + source += "';\n"; + + var argument = settings.variable; + if (argument) { + // Insure against third-party code injection. (CVE-2021-23358) + if (!bareIdentifier.test(argument)) throw new Error( + 'variable is not a bare identifier: ' + argument + ); + } else { + // If a variable is not specified, place data values in local scope. + source = 'with(obj||{}){\n' + source + '}\n'; + argument = 'obj'; + } + + source = "var __t,__p='',__j=Array.prototype.join," + + "print=function(){__p+=__j.call(arguments,'');};\n" + + source + 'return __p;\n'; + + var render; + try { + render = new Function(argument, '_', source); + } catch (e) { + e.source = source; + throw e; + } + + var template = function(data) { + return render.call(this, data, _$1); + }; + + // Provide the compiled source as a convenience for precompilation. + template.source = 'function(' + argument + '){\n' + source + '}'; + + return template; + } + + // Traverses the children of `obj` along `path`. If a child is a function, it + // is invoked with its parent as context. Returns the value of the final + // child, or `fallback` if any child is undefined. + function result(obj, path, fallback) { + path = toPath(path); + var length = path.length; + if (!length) { + return isFunction$1(fallback) ? fallback.call(obj) : fallback; + } + for (var i = 0; i < length; i++) { + var prop = obj == null ? void 0 : obj[path[i]]; + if (prop === void 0) { + prop = fallback; + i = length; // Ensure we don't continue iterating. + } + obj = isFunction$1(prop) ? prop.call(obj) : prop; + } + return obj; + } + + // Generate a unique integer id (unique within the entire client session). + // Useful for temporary DOM ids. + var idCounter = 0; + function uniqueId(prefix) { + var id = ++idCounter + ''; + return prefix ? prefix + id : id; + } + + // Start chaining a wrapped Underscore object. + function chain(obj) { + var instance = _$1(obj); + instance._chain = true; + return instance; + } + + // Internal function to execute `sourceFunc` bound to `context` with optional + // `args`. Determines whether to execute a function as a constructor or as a + // normal function. + function executeBound(sourceFunc, boundFunc, context, callingContext, args) { + if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args); + var self = baseCreate(sourceFunc.prototype); + var result = sourceFunc.apply(self, args); + if (isObject(result)) return result; + return self; + } + + // Partially apply a function by creating a version that has had some of its + // arguments pre-filled, without changing its dynamic `this` context. `_` acts + // as a placeholder by default, allowing any combination of arguments to be + // pre-filled. Set `_.partial.placeholder` for a custom placeholder argument. + var partial = restArguments(function(func, boundArgs) { + var placeholder = partial.placeholder; + var bound = function() { + var position = 0, length = boundArgs.length; + var args = Array(length); + for (var i = 0; i < length; i++) { + args[i] = boundArgs[i] === placeholder ? arguments[position++] : boundArgs[i]; + } + while (position < arguments.length) args.push(arguments[position++]); + return executeBound(func, bound, this, this, args); + }; + return bound; + }); + + partial.placeholder = _$1; + + // Create a function bound to a given object (assigning `this`, and arguments, + // optionally). + var bind = restArguments(function(func, context, args) { + if (!isFunction$1(func)) throw new TypeError('Bind must be called on a function'); + var bound = restArguments(function(callArgs) { + return executeBound(func, bound, context, this, args.concat(callArgs)); + }); + return bound; + }); + + // Internal helper for collection methods to determine whether a collection + // should be iterated as an array or as an object. + // Related: https://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength + // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094 + var isArrayLike = createSizePropertyCheck(getLength); + + // Internal implementation of a recursive `flatten` function. + function flatten$1(input, depth, strict, output) { + output = output || []; + if (!depth && depth !== 0) { + depth = Infinity; + } else if (depth <= 0) { + return output.concat(input); + } + var idx = output.length; + for (var i = 0, length = getLength(input); i < length; i++) { + var value = input[i]; + if (isArrayLike(value) && (isArray(value) || isArguments$1(value))) { + // Flatten current level of array or arguments object. + if (depth > 1) { + flatten$1(value, depth - 1, strict, output); + idx = output.length; + } else { + var j = 0, len = value.length; + while (j < len) output[idx++] = value[j++]; + } + } else if (!strict) { + output[idx++] = value; + } + } + return output; + } + + // Bind a number of an object's methods to that object. Remaining arguments + // are the method names to be bound. Useful for ensuring that all callbacks + // defined on an object belong to it. + var bindAll = restArguments(function(obj, keys) { + keys = flatten$1(keys, false, false); + var index = keys.length; + if (index < 1) throw new Error('bindAll must be passed function names'); + while (index--) { + var key = keys[index]; + obj[key] = bind(obj[key], obj); + } + return obj; + }); + + // Memoize an expensive function by storing its results. + function memoize(func, hasher) { + var memoize = function(key) { + var cache = memoize.cache; + var address = '' + (hasher ? hasher.apply(this, arguments) : key); + if (!has$1(cache, address)) cache[address] = func.apply(this, arguments); + return cache[address]; + }; + memoize.cache = {}; + return memoize; + } + + // Delays a function for the given number of milliseconds, and then calls + // it with the arguments supplied. + var delay = restArguments(function(func, wait, args) { + return setTimeout(function() { + return func.apply(null, args); + }, wait); + }); + + // Defers a function, scheduling it to run after the current call stack has + // cleared. + var defer = partial(delay, _$1, 1); + + // Returns a function, that, when invoked, will only be triggered at most once + // during a given window of time. Normally, the throttled function will run + // as much as it can, without ever going more than once per `wait` duration; + // but if you'd like to disable the execution on the leading edge, pass + // `{leading: false}`. To disable execution on the trailing edge, ditto. + function throttle(func, wait, options) { + var timeout, context, args, result; + var previous = 0; + if (!options) options = {}; + + var later = function() { + previous = options.leading === false ? 0 : now(); + timeout = null; + result = func.apply(context, args); + if (!timeout) context = args = null; + }; + + var throttled = function() { + var _now = now(); + if (!previous && options.leading === false) previous = _now; + var remaining = wait - (_now - previous); + context = this; + args = arguments; + if (remaining <= 0 || remaining > wait) { + if (timeout) { + clearTimeout(timeout); + timeout = null; + } + previous = _now; + result = func.apply(context, args); + if (!timeout) context = args = null; + } else if (!timeout && options.trailing !== false) { + timeout = setTimeout(later, remaining); + } + return result; + }; + + throttled.cancel = function() { + clearTimeout(timeout); + previous = 0; + timeout = context = args = null; + }; + + return throttled; + } + + // When a sequence of calls of the returned function ends, the argument + // function is triggered. The end of a sequence is defined by the `wait` + // parameter. If `immediate` is passed, the argument function will be + // triggered at the beginning of the sequence instead of at the end. + function debounce(func, wait, immediate) { + var timeout, previous, args, result, context; + + var later = function() { + var passed = now() - previous; + if (wait > passed) { + timeout = setTimeout(later, wait - passed); + } else { + timeout = null; + if (!immediate) result = func.apply(context, args); + // This check is needed because `func` can recursively invoke `debounced`. + if (!timeout) args = context = null; + } + }; + + var debounced = restArguments(function(_args) { + context = this; + args = _args; + previous = now(); + if (!timeout) { + timeout = setTimeout(later, wait); + if (immediate) result = func.apply(context, args); + } + return result; + }); + + debounced.cancel = function() { + clearTimeout(timeout); + timeout = args = context = null; + }; + + return debounced; + } + + // Returns the first function passed as an argument to the second, + // allowing you to adjust arguments, run code before and after, and + // conditionally execute the original function. + function wrap(func, wrapper) { + return partial(wrapper, func); + } + + // Returns a negated version of the passed-in predicate. + function negate(predicate) { + return function() { + return !predicate.apply(this, arguments); + }; + } + + // Returns a function that is the composition of a list of functions, each + // consuming the return value of the function that follows. + function compose() { + var args = arguments; + var start = args.length - 1; + return function() { + var i = start; + var result = args[start].apply(this, arguments); + while (i--) result = args[i].call(this, result); + return result; + }; + } + + // Returns a function that will only be executed on and after the Nth call. + function after(times, func) { + return function() { + if (--times < 1) { + return func.apply(this, arguments); + } + }; + } + + // Returns a function that will only be executed up to (but not including) the + // Nth call. + function before(times, func) { + var memo; + return function() { + if (--times > 0) { + memo = func.apply(this, arguments); + } + if (times <= 1) func = null; + return memo; + }; + } + + // Returns a function that will be executed at most one time, no matter how + // often you call it. Useful for lazy initialization. + var once = partial(before, 2); + + // Returns the first key on an object that passes a truth test. + function findKey(obj, predicate, context) { + predicate = cb(predicate, context); + var _keys = keys(obj), key; + for (var i = 0, length = _keys.length; i < length; i++) { + key = _keys[i]; + if (predicate(obj[key], key, obj)) return key; + } + } + + // Internal function to generate `_.findIndex` and `_.findLastIndex`. + function createPredicateIndexFinder(dir) { + return function(array, predicate, context) { + predicate = cb(predicate, context); + var length = getLength(array); + var index = dir > 0 ? 0 : length - 1; + for (; index >= 0 && index < length; index += dir) { + if (predicate(array[index], index, array)) return index; + } + return -1; + }; + } + + // Returns the first index on an array-like that passes a truth test. + var findIndex = createPredicateIndexFinder(1); + + // Returns the last index on an array-like that passes a truth test. + var findLastIndex = createPredicateIndexFinder(-1); + + // Use a comparator function to figure out the smallest index at which + // an object should be inserted so as to maintain order. Uses binary search. + function sortedIndex(array, obj, iteratee, context) { + iteratee = cb(iteratee, context, 1); + var value = iteratee(obj); + var low = 0, high = getLength(array); + while (low < high) { + var mid = Math.floor((low + high) / 2); + if (iteratee(array[mid]) < value) low = mid + 1; else high = mid; + } + return low; + } + + // Internal function to generate the `_.indexOf` and `_.lastIndexOf` functions. + function createIndexFinder(dir, predicateFind, sortedIndex) { + return function(array, item, idx) { + var i = 0, length = getLength(array); + if (typeof idx == 'number') { + if (dir > 0) { + i = idx >= 0 ? idx : Math.max(idx + length, i); + } else { + length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1; + } + } else if (sortedIndex && idx && length) { + idx = sortedIndex(array, item); + return array[idx] === item ? idx : -1; + } + if (item !== item) { + idx = predicateFind(slice.call(array, i, length), isNaN$1); + return idx >= 0 ? idx + i : -1; + } + for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) { + if (array[idx] === item) return idx; + } + return -1; + }; + } + + // Return the position of the first occurrence of an item in an array, + // or -1 if the item is not included in the array. + // If the array is large and already in sort order, pass `true` + // for **isSorted** to use binary search. + var indexOf = createIndexFinder(1, findIndex, sortedIndex); + + // Return the position of the last occurrence of an item in an array, + // or -1 if the item is not included in the array. + var lastIndexOf = createIndexFinder(-1, findLastIndex); + + // Return the first value which passes a truth test. + function find(obj, predicate, context) { + var keyFinder = isArrayLike(obj) ? findIndex : findKey; + var key = keyFinder(obj, predicate, context); + if (key !== void 0 && key !== -1) return obj[key]; + } + + // Convenience version of a common use case of `_.find`: getting the first + // object containing specific `key:value` pairs. + function findWhere(obj, attrs) { + return find(obj, matcher(attrs)); + } + + // The cornerstone for collection functions, an `each` + // implementation, aka `forEach`. + // Handles raw objects in addition to array-likes. Treats all + // sparse array-likes as if they were dense. + function each(obj, iteratee, context) { + iteratee = optimizeCb(iteratee, context); + var i, length; + if (isArrayLike(obj)) { + for (i = 0, length = obj.length; i < length; i++) { + iteratee(obj[i], i, obj); + } + } else { + var _keys = keys(obj); + for (i = 0, length = _keys.length; i < length; i++) { + iteratee(obj[_keys[i]], _keys[i], obj); + } + } + return obj; + } + + // Return the results of applying the iteratee to each element. + function map(obj, iteratee, context) { + iteratee = cb(iteratee, context); + var _keys = !isArrayLike(obj) && keys(obj), + length = (_keys || obj).length, + results = Array(length); + for (var index = 0; index < length; index++) { + var currentKey = _keys ? _keys[index] : index; + results[index] = iteratee(obj[currentKey], currentKey, obj); + } + return results; + } + + // Internal helper to create a reducing function, iterating left or right. + function createReduce(dir) { + // Wrap code that reassigns argument variables in a separate function than + // the one that accesses `arguments.length` to avoid a perf hit. (#1991) + var reducer = function(obj, iteratee, memo, initial) { + var _keys = !isArrayLike(obj) && keys(obj), + length = (_keys || obj).length, + index = dir > 0 ? 0 : length - 1; + if (!initial) { + memo = obj[_keys ? _keys[index] : index]; + index += dir; + } + for (; index >= 0 && index < length; index += dir) { + var currentKey = _keys ? _keys[index] : index; + memo = iteratee(memo, obj[currentKey], currentKey, obj); + } + return memo; + }; + + return function(obj, iteratee, memo, context) { + var initial = arguments.length >= 3; + return reducer(obj, optimizeCb(iteratee, context, 4), memo, initial); + }; + } + + // **Reduce** builds up a single result from a list of values, aka `inject`, + // or `foldl`. + var reduce = createReduce(1); + + // The right-associative version of reduce, also known as `foldr`. + var reduceRight = createReduce(-1); + + // Return all the elements that pass a truth test. + function filter(obj, predicate, context) { + var results = []; + predicate = cb(predicate, context); + each(obj, function(value, index, list) { + if (predicate(value, index, list)) results.push(value); + }); + return results; + } + + // Return all the elements for which a truth test fails. + function reject(obj, predicate, context) { + return filter(obj, negate(cb(predicate)), context); + } + + // Determine whether all of the elements pass a truth test. + function every(obj, predicate, context) { + predicate = cb(predicate, context); + var _keys = !isArrayLike(obj) && keys(obj), + length = (_keys || obj).length; + for (var index = 0; index < length; index++) { + var currentKey = _keys ? _keys[index] : index; + if (!predicate(obj[currentKey], currentKey, obj)) return false; + } + return true; + } + + // Determine if at least one element in the object passes a truth test. + function some(obj, predicate, context) { + predicate = cb(predicate, context); + var _keys = !isArrayLike(obj) && keys(obj), + length = (_keys || obj).length; + for (var index = 0; index < length; index++) { + var currentKey = _keys ? _keys[index] : index; + if (predicate(obj[currentKey], currentKey, obj)) return true; + } + return false; + } + + // Determine if the array or object contains a given item (using `===`). + function contains(obj, item, fromIndex, guard) { + if (!isArrayLike(obj)) obj = values(obj); + if (typeof fromIndex != 'number' || guard) fromIndex = 0; + return indexOf(obj, item, fromIndex) >= 0; + } + + // Invoke a method (with arguments) on every item in a collection. + var invoke = restArguments(function(obj, path, args) { + var contextPath, func; + if (isFunction$1(path)) { + func = path; + } else { + path = toPath(path); + contextPath = path.slice(0, -1); + path = path[path.length - 1]; + } + return map(obj, function(context) { + var method = func; + if (!method) { + if (contextPath && contextPath.length) { + context = deepGet(context, contextPath); + } + if (context == null) return void 0; + method = context[path]; + } + return method == null ? method : method.apply(context, args); + }); + }); + + // Convenience version of a common use case of `_.map`: fetching a property. + function pluck(obj, key) { + return map(obj, property(key)); + } + + // Convenience version of a common use case of `_.filter`: selecting only + // objects containing specific `key:value` pairs. + function where(obj, attrs) { + return filter(obj, matcher(attrs)); + } + + // Return the maximum element (or element-based computation). + function max(obj, iteratee, context) { + var result = -Infinity, lastComputed = -Infinity, + value, computed; + if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) { + obj = isArrayLike(obj) ? obj : values(obj); + for (var i = 0, length = obj.length; i < length; i++) { + value = obj[i]; + if (value != null && value > result) { + result = value; + } + } + } else { + iteratee = cb(iteratee, context); + each(obj, function(v, index, list) { + computed = iteratee(v, index, list); + if (computed > lastComputed || computed === -Infinity && result === -Infinity) { + result = v; + lastComputed = computed; + } + }); + } + return result; + } + + // Return the minimum element (or element-based computation). + function min(obj, iteratee, context) { + var result = Infinity, lastComputed = Infinity, + value, computed; + if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) { + obj = isArrayLike(obj) ? obj : values(obj); + for (var i = 0, length = obj.length; i < length; i++) { + value = obj[i]; + if (value != null && value < result) { + result = value; + } + } + } else { + iteratee = cb(iteratee, context); + each(obj, function(v, index, list) { + computed = iteratee(v, index, list); + if (computed < lastComputed || computed === Infinity && result === Infinity) { + result = v; + lastComputed = computed; + } + }); + } + return result; + } + + // Sample **n** random values from a collection using the modern version of the + // [Fisher-Yates shuffle](https://en.wikipedia.org/wiki/Fisher–Yates_shuffle). + // If **n** is not specified, returns a single random element. + // The internal `guard` argument allows it to work with `_.map`. + function sample(obj, n, guard) { + if (n == null || guard) { + if (!isArrayLike(obj)) obj = values(obj); + return obj[random(obj.length - 1)]; + } + var sample = isArrayLike(obj) ? clone(obj) : values(obj); + var length = getLength(sample); + n = Math.max(Math.min(n, length), 0); + var last = length - 1; + for (var index = 0; index < n; index++) { + var rand = random(index, last); + var temp = sample[index]; + sample[index] = sample[rand]; + sample[rand] = temp; + } + return sample.slice(0, n); + } + + // Shuffle a collection. + function shuffle(obj) { + return sample(obj, Infinity); + } + + // Sort the object's values by a criterion produced by an iteratee. + function sortBy(obj, iteratee, context) { + var index = 0; + iteratee = cb(iteratee, context); + return pluck(map(obj, function(value, key, list) { + return { + value: value, + index: index++, + criteria: iteratee(value, key, list) + }; + }).sort(function(left, right) { + var a = left.criteria; + var b = right.criteria; + if (a !== b) { + if (a > b || a === void 0) return 1; + if (a < b || b === void 0) return -1; + } + return left.index - right.index; + }), 'value'); + } + + // An internal function used for aggregate "group by" operations. + function group(behavior, partition) { + return function(obj, iteratee, context) { + var result = partition ? [[], []] : {}; + iteratee = cb(iteratee, context); + each(obj, function(value, index) { + var key = iteratee(value, index, obj); + behavior(result, value, key); + }); + return result; + }; + } + + // Groups the object's values by a criterion. Pass either a string attribute + // to group by, or a function that returns the criterion. + var groupBy = group(function(result, value, key) { + if (has$1(result, key)) result[key].push(value); else result[key] = [value]; + }); + + // Indexes the object's values by a criterion, similar to `_.groupBy`, but for + // when you know that your index values will be unique. + var indexBy = group(function(result, value, key) { + result[key] = value; + }); + + // Counts instances of an object that group by a certain criterion. Pass + // either a string attribute to count by, or a function that returns the + // criterion. + var countBy = group(function(result, value, key) { + if (has$1(result, key)) result[key]++; else result[key] = 1; + }); + + // Split a collection into two arrays: one whose elements all pass the given + // truth test, and one whose elements all do not pass the truth test. + var partition = group(function(result, value, pass) { + result[pass ? 0 : 1].push(value); + }, true); + + // Safely create a real, live array from anything iterable. + var reStrSymbol = /[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g; + function toArray(obj) { + if (!obj) return []; + if (isArray(obj)) return slice.call(obj); + if (isString(obj)) { + // Keep surrogate pair characters together. + return obj.match(reStrSymbol); + } + if (isArrayLike(obj)) return map(obj, identity); + return values(obj); + } + + // Return the number of elements in a collection. + function size(obj) { + if (obj == null) return 0; + return isArrayLike(obj) ? obj.length : keys(obj).length; + } + + // Internal `_.pick` helper function to determine whether `key` is an enumerable + // property name of `obj`. + function keyInObj(value, key, obj) { + return key in obj; + } + + // Return a copy of the object only containing the allowed properties. + var pick = restArguments(function(obj, keys) { + var result = {}, iteratee = keys[0]; + if (obj == null) return result; + if (isFunction$1(iteratee)) { + if (keys.length > 1) iteratee = optimizeCb(iteratee, keys[1]); + keys = allKeys(obj); + } else { + iteratee = keyInObj; + keys = flatten$1(keys, false, false); + obj = Object(obj); + } + for (var i = 0, length = keys.length; i < length; i++) { + var key = keys[i]; + var value = obj[key]; + if (iteratee(value, key, obj)) result[key] = value; + } + return result; + }); + + // Return a copy of the object without the disallowed properties. + var omit = restArguments(function(obj, keys) { + var iteratee = keys[0], context; + if (isFunction$1(iteratee)) { + iteratee = negate(iteratee); + if (keys.length > 1) context = keys[1]; + } else { + keys = map(flatten$1(keys, false, false), String); + iteratee = function(value, key) { + return !contains(keys, key); + }; + } + return pick(obj, iteratee, context); + }); + + // Returns everything but the last entry of the array. Especially useful on + // the arguments object. Passing **n** will return all the values in + // the array, excluding the last N. + function initial(array, n, guard) { + return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n))); + } + + // Get the first element of an array. Passing **n** will return the first N + // values in the array. The **guard** check allows it to work with `_.map`. + function first(array, n, guard) { + if (array == null || array.length < 1) return n == null || guard ? void 0 : []; + if (n == null || guard) return array[0]; + return initial(array, array.length - n); + } + + // Returns everything but the first entry of the `array`. Especially useful on + // the `arguments` object. Passing an **n** will return the rest N values in the + // `array`. + function rest(array, n, guard) { + return slice.call(array, n == null || guard ? 1 : n); + } + + // Get the last element of an array. Passing **n** will return the last N + // values in the array. + function last(array, n, guard) { + if (array == null || array.length < 1) return n == null || guard ? void 0 : []; + if (n == null || guard) return array[array.length - 1]; + return rest(array, Math.max(0, array.length - n)); + } + + // Trim out all falsy values from an array. + function compact(array) { + return filter(array, Boolean); + } + + // Flatten out an array, either recursively (by default), or up to `depth`. + // Passing `true` or `false` as `depth` means `1` or `Infinity`, respectively. + function flatten(array, depth) { + return flatten$1(array, depth, false); + } + + // Take the difference between one array and a number of other arrays. + // Only the elements present in just the first array will remain. + var difference = restArguments(function(array, rest) { + rest = flatten$1(rest, true, true); + return filter(array, function(value){ + return !contains(rest, value); + }); + }); + + // Return a version of the array that does not contain the specified value(s). + var without = restArguments(function(array, otherArrays) { + return difference(array, otherArrays); + }); + + // Produce a duplicate-free version of the array. If the array has already + // been sorted, you have the option of using a faster algorithm. + // The faster algorithm will not work with an iteratee if the iteratee + // is not a one-to-one function, so providing an iteratee will disable + // the faster algorithm. + function uniq(array, isSorted, iteratee, context) { + if (!isBoolean(isSorted)) { + context = iteratee; + iteratee = isSorted; + isSorted = false; + } + if (iteratee != null) iteratee = cb(iteratee, context); + var result = []; + var seen = []; + for (var i = 0, length = getLength(array); i < length; i++) { + var value = array[i], + computed = iteratee ? iteratee(value, i, array) : value; + if (isSorted && !iteratee) { + if (!i || seen !== computed) result.push(value); + seen = computed; + } else if (iteratee) { + if (!contains(seen, computed)) { + seen.push(computed); + result.push(value); + } + } else if (!contains(result, value)) { + result.push(value); + } + } + return result; + } + + // Produce an array that contains the union: each distinct element from all of + // the passed-in arrays. + var union = restArguments(function(arrays) { + return uniq(flatten$1(arrays, true, true)); + }); + + // Produce an array that contains every item shared between all the + // passed-in arrays. + function intersection(array) { + var result = []; + var argsLength = arguments.length; + for (var i = 0, length = getLength(array); i < length; i++) { + var item = array[i]; + if (contains(result, item)) continue; + var j; + for (j = 1; j < argsLength; j++) { + if (!contains(arguments[j], item)) break; + } + if (j === argsLength) result.push(item); + } + return result; + } + + // Complement of zip. Unzip accepts an array of arrays and groups + // each array's elements on shared indices. + function unzip(array) { + var length = array && max(array, getLength).length || 0; + var result = Array(length); + + for (var index = 0; index < length; index++) { + result[index] = pluck(array, index); + } + return result; + } + + // Zip together multiple lists into a single array -- elements that share + // an index go together. + var zip = restArguments(unzip); + + // Converts lists into objects. Pass either a single array of `[key, value]` + // pairs, or two parallel arrays of the same length -- one of keys, and one of + // the corresponding values. Passing by pairs is the reverse of `_.pairs`. + function object(list, values) { + var result = {}; + for (var i = 0, length = getLength(list); i < length; i++) { + if (values) { + result[list[i]] = values[i]; + } else { + result[list[i][0]] = list[i][1]; + } + } + return result; + } + + // Generate an integer Array containing an arithmetic progression. A port of + // the native Python `range()` function. See + // [the Python documentation](https://docs.python.org/library/functions.html#range). + function range(start, stop, step) { + if (stop == null) { + stop = start || 0; + start = 0; + } + if (!step) { + step = stop < start ? -1 : 1; + } + + var length = Math.max(Math.ceil((stop - start) / step), 0); + var range = Array(length); + + for (var idx = 0; idx < length; idx++, start += step) { + range[idx] = start; + } + + return range; + } + + // Chunk a single array into multiple arrays, each containing `count` or fewer + // items. + function chunk(array, count) { + if (count == null || count < 1) return []; + var result = []; + var i = 0, length = array.length; + while (i < length) { + result.push(slice.call(array, i, i += count)); + } + return result; + } + + // Helper function to continue chaining intermediate results. + function chainResult(instance, obj) { + return instance._chain ? _$1(obj).chain() : obj; + } + + // Add your own custom functions to the Underscore object. + function mixin(obj) { + each(functions(obj), function(name) { + var func = _$1[name] = obj[name]; + _$1.prototype[name] = function() { + var args = [this._wrapped]; + push.apply(args, arguments); + return chainResult(this, func.apply(_$1, args)); + }; + }); + return _$1; + } + + // Add all mutator `Array` functions to the wrapper. + each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) { + var method = ArrayProto[name]; + _$1.prototype[name] = function() { + var obj = this._wrapped; + if (obj != null) { + method.apply(obj, arguments); + if ((name === 'shift' || name === 'splice') && obj.length === 0) { + delete obj[0]; + } + } + return chainResult(this, obj); + }; + }); + + // Add all accessor `Array` functions to the wrapper. + each(['concat', 'join', 'slice'], function(name) { + var method = ArrayProto[name]; + _$1.prototype[name] = function() { + var obj = this._wrapped; + if (obj != null) obj = method.apply(obj, arguments); + return chainResult(this, obj); + }; + }); + + // Named Exports + + var allExports = { + __proto__: null, + VERSION: VERSION, + restArguments: restArguments, + isObject: isObject, + isNull: isNull, + isUndefined: isUndefined, + isBoolean: isBoolean, + isElement: isElement, + isString: isString, + isNumber: isNumber, + isDate: isDate, + isRegExp: isRegExp, + isError: isError, + isSymbol: isSymbol, + isArrayBuffer: isArrayBuffer, + isDataView: isDataView$1, + isArray: isArray, + isFunction: isFunction$1, + isArguments: isArguments$1, + isFinite: isFinite$1, + isNaN: isNaN$1, + isTypedArray: isTypedArray$1, + isEmpty: isEmpty, + isMatch: isMatch, + isEqual: isEqual, + isMap: isMap, + isWeakMap: isWeakMap, + isSet: isSet, + isWeakSet: isWeakSet, + keys: keys, + allKeys: allKeys, + values: values, + pairs: pairs, + invert: invert, + functions: functions, + methods: functions, + extend: extend, + extendOwn: extendOwn, + assign: extendOwn, + defaults: defaults, + create: create, + clone: clone, + tap: tap, + get: get, + has: has, + mapObject: mapObject, + identity: identity, + constant: constant, + noop: noop, + toPath: toPath$1, + property: property, + propertyOf: propertyOf, + matcher: matcher, + matches: matcher, + times: times, + random: random, + now: now, + escape: _escape, + unescape: _unescape, + templateSettings: templateSettings, + template: template, + result: result, + uniqueId: uniqueId, + chain: chain, + iteratee: iteratee, + partial: partial, + bind: bind, + bindAll: bindAll, + memoize: memoize, + delay: delay, + defer: defer, + throttle: throttle, + debounce: debounce, + wrap: wrap, + negate: negate, + compose: compose, + after: after, + before: before, + once: once, + findKey: findKey, + findIndex: findIndex, + findLastIndex: findLastIndex, + sortedIndex: sortedIndex, + indexOf: indexOf, + lastIndexOf: lastIndexOf, + find: find, + detect: find, + findWhere: findWhere, + each: each, + forEach: each, + map: map, + collect: map, + reduce: reduce, + foldl: reduce, + inject: reduce, + reduceRight: reduceRight, + foldr: reduceRight, + filter: filter, + select: filter, + reject: reject, + every: every, + all: every, + some: some, + any: some, + contains: contains, + includes: contains, + include: contains, + invoke: invoke, + pluck: pluck, + where: where, + max: max, + min: min, + shuffle: shuffle, + sample: sample, + sortBy: sortBy, + groupBy: groupBy, + indexBy: indexBy, + countBy: countBy, + partition: partition, + toArray: toArray, + size: size, + pick: pick, + omit: omit, + first: first, + head: first, + take: first, + initial: initial, + last: last, + rest: rest, + tail: rest, + drop: rest, + compact: compact, + flatten: flatten, + without: without, + uniq: uniq, + unique: uniq, + union: union, + intersection: intersection, + difference: difference, + unzip: unzip, + transpose: unzip, + zip: zip, + object: object, + range: range, + chunk: chunk, + mixin: mixin, + 'default': _$1 + }; + + // Default Export + + // Add all of the Underscore functions to the wrapper 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(https://fontawesome.com) + +-------------------------------------------------------------------------------- + +Font Awesome Free License + +Font Awesome Free is free, open source, and GPL friendly. You can use it for +commercial projects, open source projects, or really almost whatever you want. +Full Font Awesome Free license: https://fontawesome.com/license/free. + +-------------------------------------------------------------------------------- + +# Icons: CC BY 4.0 License (https://creativecommons.org/licenses/by/4.0/) + +The Font Awesome Free download is licensed under a Creative Commons +Attribution 4.0 International License and applies to all icons packaged +as SVG and JS file types. + +-------------------------------------------------------------------------------- + +# Fonts: SIL OFL 1.1 License + +In the Font Awesome Free download, the SIL OFL license applies to all icons +packaged as web and desktop font files. + +Copyright (c) 2022 Fonticons, Inc. (https://fontawesome.com) +with Reserved Font Name: "Font Awesome". + +This Font Software is licensed under the SIL Open Font License, Version 1.1. +This license is copied below, and is also available with a FAQ at: +http://scripts.sil.org/OFL + +SIL OPEN FONT LICENSE +Version 1.1 - 26 February 2007 + +PREAMBLE +The goals of the Open Font License (OFL) are to stimulate worldwide +development of collaborative font projects, to support the font creation +efforts of academic and linguistic communities, and to provide a free and +open framework in which fonts may be shared and improved in partnership +with others. + +The OFL allows the licensed fonts to be used, studied, modified and +redistributed freely as long as they are not sold by themselves. The +fonts, including any derivative works, can be bundled, embedded, +redistributed and/or sold with any software provided that any reserved +names are not used by derivative works. The fonts and derivatives, +however, cannot be released under any other type of license. The +requirement for fonts to remain under this license does not apply +to any document created using the fonts or their derivatives. + +DEFINITIONS +"Font Software" refers to the set of files released by the Copyright +Holder(s) under this license and clearly marked as such. This may +include source files, build scripts and documentation. + +"Reserved Font Name" refers to any names specified as such after the +copyright statement(s). + +"Original Version" refers to the collection of Font Software components as +distributed by the Copyright Holder(s). + +"Modified Version" refers to any derivative made by adding to, deleting, +or substituting — in part or in whole — any of the components of the +Original Version, by changing formats or by porting the Font Software to a +new environment. + +"Author" refers to any designer, engineer, programmer, technical +writer or other person who contributed to the Font Software. + +PERMISSION & CONDITIONS +Permission is hereby granted, free of charge, to any person obtaining +a copy of the Font Software, to use, study, copy, merge, embed, modify, +redistribute, and sell modified and unmodified copies of the Font +Software, subject to the following conditions: + +1) Neither the Font Software nor any of its individual components, +in Original or Modified Versions, may be sold by itself. + +2) Original or Modified Versions of the Font Software may be bundled, +redistributed and/or sold with any software, provided that each copy +contains the above copyright notice and this license. These can be +included either as stand-alone text files, human-readable headers or +in the appropriate machine-readable metadata fields within text or +binary files as long as those fields can be easily viewed by the user. + +3) No Modified Version of the Font Software may use the Reserved Font +Name(s) unless explicit written permission is granted by the corresponding +Copyright Holder. This restriction only applies to the primary font name as +presented to the users. + +4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font +Software shall not be used to promote, endorse or advertise any +Modified Version, except to acknowledge the contribution(s) of the +Copyright Holder(s) and the Author(s) or with their explicit written +permission. + +5) The Font Software, modified or unmodified, in part or in whole, +must be distributed entirely under this license, and must not be +distributed under any other license. The requirement for fonts to +remain under this license does not apply to any document created +using the Font Software. + +TERMINATION +This license becomes null and void if any of the above conditions are +not met. + +DISCLAIMER +THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT +OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. 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IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE +SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +-------------------------------------------------------------------------------- + +# Attribution + +Attribution is required by MIT, SIL OFL, and CC BY licenses. Downloaded Font +Awesome Free files already contain embedded comments with sufficient +attribution, so you shouldn't need to do anything additional when using these +files normally. + +We've kept attribution comments terse, so we ask that you do not actively work +to remove them from files, especially code. They're a great way for folks to +learn about Font Awesome. + +-------------------------------------------------------------------------------- + +# Brand Icons + +All brand icons are trademarks of their respective owners. The use of these +trademarks does not indicate endorsement of the trademark holder by Font +Awesome, nor vice versa. **Please do not use brand logos for any purpose except +to represent the company, product, or service to which they refer.** diff --git a/_static/vendor/fontawesome/6.1.2/css/all.min.css b/_static/vendor/fontawesome/6.1.2/css/all.min.css new file mode 100644 index 00000000..aad4b1d9 --- /dev/null +++ b/_static/vendor/fontawesome/6.1.2/css/all.min.css @@ -0,0 +1,5 @@ +/*! + * Font Awesome Free 6.1.2 by @fontawesome - https://fontawesome.com + * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) + * Copyright 2022 Fonticons, Inc. + */.fa{font-family:var(--fa-style-family,"Font Awesome 6 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href="#module-httomolibgpu.cuda_kernels">Module contents</a></li> +</ul> + </nav> + </div> + </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <section id="httomolibgpu-cuda-kernels-package"> +<h1>httomolibgpu.cuda_kernels package<a class="headerlink" href="#httomolibgpu-cuda-kernels-package" title="Permalink to this headline">#</a></h1> +<section id="module-httomolibgpu.cuda_kernels"> +<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-httomolibgpu.cuda_kernels" title="Permalink to this headline">#</a></h2> +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.cuda_kernels.load_cuda_module"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.cuda_kernels.</span></span><span class="sig-name descname"><span class="pre">load_cuda_module</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">file</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name_expressions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">options</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">()</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/cuda_kernels.html#load_cuda_module"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.cuda_kernels.load_cuda_module" title="Permalink to this definition">#</a></dt> +<dd><p>Load a CUDA module file, i.e. a .cu file, from the file system, +compile it, and return is as a CuPy RawModule for further +processing.</p> +</dd></dl> + +</section> +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> +</div></div> + +</div> + + </footer> + + </div> + + + + <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner"> + + <div class="sidebar-secondary-item"> + <div class="page-toc tocsection onthispage"> + <i class="fa-solid fa-list"></i> Contents + </div> + <nav class="bd-toc-nav page-toc"> + <ul class="visible nav section-nav flex-column"> +<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#module-httomolibgpu.cuda_kernels">Module contents</a></li> +</ul> + </nav></div> + +</div></div> + + + </div> + <footer class="bd-footer-content"> + +<div class="bd-footer-content__inner container"> + + <div 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class="caption-text">Introduction</span></p> +<ul class="nav bd-sidenav"> +<li class="toctree-l1"><a class="reference internal" href="../introduction/about.html">HTTomolibGPU</a></li> +</ul> +<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference guides</span></p> +<ul class="current nav bd-sidenav"> +<li class="toctree-l1 has-children"><a class="reference internal" href="../reference/methods.html">Methods Description</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-1"><i class="fa-solid fa-chevron-down"></i></label><ul> +<li class="toctree-l2"><a class="reference internal" href="../reference/methods_list/median_filter.html">Median filter</a></li> +<li class="toctree-l2"><a class="reference internal" href="../reference/methods_list/outlier_removal.html">Outliers removal filter</a></li> +</ul> +</li> +<li class="toctree-l1 current active 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+</div></div> + + </div> + +</div> +</div> + + + +<div id="jb-print-docs-body" class="onlyprint"> + <h1>httomolibgpu.misc.corr</h1> + <!-- Table of contents --> + <div id="print-main-content"> + <div id="jb-print-toc"> + + </div> + </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <section id="module-httomolibgpu.misc.corr"> +<span id="httomolibgpu-misc-corr"></span><h1><a class="reference internal" href="#module-httomolibgpu.misc.corr" title="httomolibgpu.misc.corr"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.misc.corr</span></code></a><a class="headerlink" href="#module-httomolibgpu.misc.corr" title="Permalink to this headline">#</a></h1> +<p>Module for data correction. For more detailed information see <a class="reference internal" href="../reference/methods.html#data-correction-module"><span class="std std-ref">Data correction module</span></a>.</p> +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.misc.corr.median_filter"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.misc.corr.</span></span><span class="sig-name descname"><span class="pre">median_filter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernel_size:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dif:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/misc/corr.html#median_filter"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.misc.corr.median_filter" title="Permalink to this definition">#</a></dt> +<dd><p>Applies 3D median filter to a 3D CuPy array. For more detailed information, see <a class="reference internal" href="../reference/methods_list/median_filter.html#method-median-filter"><span class="std std-ref">Median filter</span></a>.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – Input CuPy 3D array either float32 or uint16 data type.</p></li> +<li><p><strong>kernel_size</strong> (<em>int</em><em>, </em><em>optional</em>) – The size of the filter’s kernel (a diameter).</p></li> +<li><p><strong>dif</strong> (<em>float</em><em>, </em><em>optional</em>) – Expected difference value between outlier value and the +median value of the array, leave equal to 0 for classical median.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>Median filtered 3D CuPy array either float32 or uint16 data type.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>ndarray</p> +</dd> +<dt class="field-even">Raises</dt> +<dd class="field-even"><p><strong>ValueError</strong> – If the input array is not three dimensional.</p> +</dd> +</dl> +</dd></dl> + +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.misc.corr.remove_outlier"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.misc.corr.</span></span><span class="sig-name descname"><span class="pre">remove_outlier</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernel_size:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dif:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/misc/corr.html#remove_outlier"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.misc.corr.remove_outlier" title="Permalink to this definition">#</a></dt> +<dd><p>Selectively applies 3D median filter to a 3D CuPy array to remove outliers. Also called a dezinger. +For more detailed information, see <a class="reference internal" href="../reference/methods_list/outlier_removal.html#method-outlier-removal"><span class="std std-ref">Outliers removal filter</span></a>.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – Input CuPy 3D array either float32 or uint16 data type.</p></li> +<li><p><strong>kernel_size</strong> (<em>int</em><em>, </em><em>optional</em>) – The size of the filter’s kernel (a diameter).</p></li> +<li><p><strong>dif</strong> (<em>float</em><em>, </em><em>optional</em>) – Expected difference value between outlier value and the +median value of the array.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>Dezingered filtered 3D CuPy array either float32 or uint16 data type.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>ndarray</p> +</dd> +<dt class="field-even">Raises</dt> +<dd class="field-even"><p><strong>ValueError</strong> – Threshold value (dif) must be positive and nonzero.</p> +</dd> +</dl> +</dd></dl> + +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="left-prev" + href="../reference/api.html" + title="previous page"> + <i class="fa-solid fa-angle-left"></i> + <div class="prev-next-info"> + <p class="prev-next-subtitle">previous</p> + <p class="prev-next-title">API reference</p> + </div> + </a> + <a class="right-next" + href="httomolibgpu.misc.morph.html" + title="next page"> + <div class="prev-next-info"> + <p class="prev-next-subtitle">next</p> + <p class="prev-next-title"><code class="xref py py-mod docutils literal notranslate"><span 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functions</p> +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.misc.morph.data_resampler"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.misc.morph.</span></span><span class="sig-name descname"><span class="pre">data_resampler</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">newshape:</span> <span class="pre">list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'linear'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/misc/morph.html#data_resampler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.misc.morph.data_resampler" title="Permalink to this definition">#</a></dt> +<dd><dl class="simple"> +<dt>Down/Up-resampler of the input data implemented through interpn function.</dt><dd><p>Please note that the method will leave the specified axis +dimension unchanged, e.g. (128,128,128) -&gt; (128,256,256) for axis = 0 and +newshape = [256,256].</p> +</dd> +</dl> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – 3d cupy array.</p></li> +<li><p><strong>newshape</strong> (<em>list</em>) – 2d list that defines the 2D slice shape of new shape data.</p></li> +<li><p><strong>axis</strong> (<em>int</em><em>, </em><em>optional</em>) – Axis along which the scaling is applied. Defaults to 1.</p></li> +<li><p><strong>interpolation</strong> (<em>str</em><em>, </em><em>optional</em>) – Selection of interpolation method. Defaults to ‘linear’.</p></li> +</ul> +</dd> +<dt class="field-even">Raises</dt> +<dd class="field-even"><p><strong>ValueError</strong> – When data is not 3D</p> +</dd> +<dt class="field-odd">Returns</dt> +<dd class="field-odd"><p>Up/Down-scaled 3D cupy array</p> +</dd> +<dt class="field-even">Return type</dt> +<dd class="field-even"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.misc.morph.sino_360_to_180"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.misc.morph.</span></span><span class="sig-name descname"><span class="pre">sino_360_to_180</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">overlap:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rotation:</span> <span class="pre">typing.Literal['left'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">'right']</span> <span class="pre">=</span> <span class="pre">'left'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/misc/morph.html#sino_360_to_180"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.misc.morph.sino_360_to_180" title="Permalink to this definition">#</a></dt> +<dd><p>Converts 0-360 degrees sinogram to a 0-180 sinogram. +If the number of projections in the input data is odd, the last projection +will be discarded. See <span id="id1">[<a class="reference internal" href="../bibliography/biblio.html#id3" title="Nghia T Vo, Robert C Atwood, Michael Drakopoulos, and Thomas Connolley. Data processing methods and data acquisition for samples larger than the field of view in parallel-beam tomography. Optics Express, 29(12):17849–17874, 2021.">9</a>]</span>.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – Input 3D data.</p></li> +<li><p><strong>overlap</strong> (<em>scalar</em><em>, </em><em>optional</em>) – Overlapping number of pixels.</p></li> +<li><p><strong>rotation</strong> (<em>string</em><em>, </em><em>optional</em>) – ‘left’ if rotation center is close to the left of the +field-of-view, ‘right’ otherwise.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>Output 3D data.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div 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title="httomolibgpu.misc.rescale"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.misc.rescale</span></code></a><a class="headerlink" href="#module-httomolibgpu.misc.rescale" title="Permalink to this headline">#</a></h1> +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.misc.rescale.rescale_to_int"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.misc.rescale.</span></span><span class="sig-name descname"><span class="pre">rescale_to_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perc_range_min:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perc_range_max:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">100.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits:</span> <span class="pre">typing.Literal[8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">32]</span> <span class="pre">=</span> <span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">glob_stats:</span> <span class="pre">typing.Optional[typing.Tuple[float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">int]]</span> <span class="pre">=</span> <span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/httomolibgpu/misc/rescale.html#rescale_to_int"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.misc.rescale.rescale_to_int" title="Permalink to this definition">#</a></dt> +<dd><p>Rescales the data and converts it fit into the range of an unsigned integer type +with the given number of bits.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – Required input data array, on GPU</p></li> +<li><p><strong>perc_range_min</strong> (<em>float</em><em>, </em><em>optional</em>) – The lower cutoff point in the input data, in percent of the data range (defaults to 0). +The lower bound is computed as min + perc_range_min/100*(max-min)</p></li> +<li><p><strong>perc_range_max</strong> (<em>float</em><em>, </em><em>optional</em>) – The upper cutoff point in the input data, in percent of the data range (defaults to 100). +The upper bound is computed as min + perc_range_max/100*(max-min)</p></li> +<li><p><strong>bits</strong> (<em>Literal</em><em>[</em><em>8</em><em>, </em><em>16</em><em>, </em><em>32</em><em>]</em><em>, </em><em>optional</em>) – The number of bits in the output integer range (defaults to 8). +Allowed values are: +- 8 -&gt; uint8 +- 16 -&gt; uint16 +- 32 -&gt; uint32</p></li> +<li><p><strong>glob_stats</strong> (<em>tuple</em><em>, </em><em>optional</em>) – Global statistics of the full dataset (beyond the data passed into this call). +It’s a tuple with (min, max, sum, num_items). If not given, the min/max is +computed from the given data.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>The original data, clipped to the range specified with the perc_range_min and +perc_range_max, and scaled to the full range of the output integer type</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="left-prev" + href="httomolibgpu.misc.morph.html" + title="previous page"> + <i class="fa-solid fa-angle-left"></i> + <div class="prev-next-info"> + <p class="prev-next-subtitle">previous</p> + <p class="prev-next-title"><code class="xref py py-mod docutils literal notranslate"><span 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class="sig sig-object py" id="httomolibgpu.prep.alignment.distortion_correction_proj_discorpy"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.prep.alignment.</span></span><span class="sig-name descname"><span class="pre">distortion_correction_proj_discorpy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;,</span> <span class="pre">metadata_path:</span> <span class="pre">str,</span> <span class="pre">preview:</span> <span class="pre">typing.Dict[str,</span> <span class="pre">typing.List[int]],</span> <span class="pre">order:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">1,</span> <span class="pre">mode:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'reflect'</span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/httomolibgpu/prep/alignment.html#distortion_correction_proj_discorpy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.prep.alignment.distortion_correction_proj_discorpy" title="Permalink to this definition">#</a></dt> +<dd><p>Unwarp a stack of images using a backward model. See <span id="id1">[<a class="reference internal" href="../bibliography/biblio.html#id8" title="Nghia T Vo, Robert C Atwood, and Michael Drakopoulos. Radial lens distortion correction with sub-pixel accuracy for x-ray micro-tomography. Optics express, 23(25):32859–32868, 2015.">7</a>]</span>.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – 3D array.</p></li> +<li><p><strong>metadata_path</strong> (<em>str</em>) – The path to the file containing the distortion coefficients for the +data.</p></li> +<li><p><strong>preview</strong> (<em>Dict</em><em>[</em><em>str</em><em>, </em><em>List</em><em>[</em><em>int</em><em>]</em><em>]</em>) – A dict containing three key-value pairs: +- a list containing the <cite>start</cite> value of each dimension +- a list containing the <cite>stop</cite> value of each dimension +- a list containing the <cite>step</cite> value of each dimension</p></li> +<li><p><strong>order</strong> (<em>int</em><em>, </em><em>optional.</em>) – The order of the spline interpolation.</p></li> +<li><p><strong>mode</strong> (<em>{'reflect'</em><em>, </em><em>'grid-mirror'</em><em>, </em><em>'constant'</em><em>, </em><em>'grid-constant'</em><em>, </em><em>'nearest'</em><em>,</em>) – ‘mirror’, ‘grid-wrap’, ‘wrap’}, optional +To determine how to handle image boundaries.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>3D array. Distortion-corrected array.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="left-prev" + href="httomolibgpu.misc.rescale.html" + title="previous page"> + <i class="fa-solid fa-angle-left"></i> + <div class="prev-next-info"> + <p class="prev-next-subtitle">previous</p> + <p class="prev-next-title"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.misc.rescale</span></code></p> + </div> + </a> + <a class="right-next" + href="httomolibgpu.prep.normalize.html" + title="next page"> + <div class="prev-next-info"> + <p class="prev-next-subtitle">next</p> + <p class="prev-next-title"><code class="xref py py-mod docutils literal 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internal" href="#module-httomolibgpu.prep.normalize" title="httomolibgpu.prep.normalize"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.prep.normalize</span></code></a><a class="headerlink" href="#module-httomolibgpu.prep.normalize" title="Permalink to this headline">#</a></h1> +<p>Modules for raw projection data normalization</p> +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.prep.normalize.normalize"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.prep.normalize.</span></span><span class="sig-name descname"><span class="pre">normalize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flats:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">darks:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">10.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minus_log:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nonnegativity:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">remove_nans:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/prep/normalize.html#normalize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.prep.normalize.normalize" title="Permalink to this definition">#</a></dt> +<dd><p>Normalize raw projection data using the flat and dark field projections. +This is a raw CUDA kernel implementation with CuPy wrappers.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – Projection data as a CuPy array.</p></li> +<li><p><strong>flats</strong> (<em>cp.ndarray</em>) – 3D flat field data as a CuPy array.</p></li> +<li><p><strong>darks</strong> (<em>cp.ndarray</em>) – 3D dark field data as a CuPy array.</p></li> +<li><p><strong>cutoff</strong> (<em>float</em><em>, </em><em>optional</em>) – Permitted maximum value for the normalised data.</p></li> +<li><p><strong>minus_log</strong> (<em>bool</em><em>, </em><em>optional</em>) – Apply negative log to the normalised data.</p></li> +<li><p><strong>nonnegativity</strong> (<em>bool</em><em>, </em><em>optional</em>) – Remove negative values in the normalised data.</p></li> +<li><p><strong>remove_nans</strong> (<em>bool</em><em>, </em><em>optional</em>) – Remove NaN and Inf values in the normalised data.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>Normalised 3D tomographic data as a CuPy array.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="left-prev" + href="httomolibgpu.prep.alignment.html" + title="previous page"> + <i class="fa-solid fa-angle-left"></i> + <div 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and phase-contrast enhancement</p> +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.prep.phase.paganin_filter_savu"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.prep.phase.</span></span><span class="sig-name descname"><span class="pre">paganin_filter_savu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">250.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">53.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">distance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.28</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_y:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_x:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pad_method:</span> <span class="pre">str</span> <span class="pre">=</span> <span class="pre">'edge'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">increment:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/prep/phase.html#paganin_filter_savu"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.prep.phase.paganin_filter_savu" title="Permalink to this definition">#</a></dt> +<dd><p>Apply Paganin filter (for denoising or contrast enhancement) to +projections.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – The stack of projections to filter.</p></li> +<li><p><strong>ratio</strong> (<em>float</em><em>, </em><em>optional</em>) – Ratio of delta/beta.</p></li> +<li><p><strong>energy</strong> (<em>float</em><em>, </em><em>optional</em>) – Beam energy in keV.</p></li> +<li><p><strong>distance</strong> (<em>float</em><em>, </em><em>optional</em>) – Distance from sample to detector in metres.</p></li> +<li><p><strong>resolution</strong> (<em>float</em><em>, </em><em>optional</em>) – Pixel size in microns.</p></li> +<li><p><strong>pad_y</strong> (<em>int</em><em>, </em><em>optional</em>) – Pad the top and bottom of projections.</p></li> +<li><p><strong>pad_x</strong> (<em>int</em><em>, </em><em>optional</em>) – Pad the left and right of projections.</p></li> +<li><p><strong>pad_method</strong> (<em>str</em><em>, </em><em>optional</em>) – Numpy pad method to use.</p></li> +<li><p><strong>increment</strong> (<em>float</em><em>, </em><em>optional</em>) – Increment all values by this amount before taking the log.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>The stack of filtered projections.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.prep.phase.paganin_filter_tomopy"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.prep.phase.</span></span><span class="sig-name descname"><span class="pre">paganin_filter_tomopy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tomo:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pixel_size:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.0001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">50.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">energy:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">53.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.001</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/prep/phase.html#paganin_filter_tomopy"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.prep.phase.paganin_filter_tomopy" title="Permalink to this definition">#</a></dt> +<dd><p>Perform single-material phase retrieval from flats/darks corrected tomographic measurements. See +<span id="id1">[<a class="reference internal" href="../bibliography/biblio.html#id2" title="David Paganin, Sheridan C Mayo, Tim E Gureyev, Peter R Miller, and Steve W Wilkins. Simultaneous phase and amplitude extraction from a single defocused image of a homogeneous object. Journal of microscopy, 206(1):33–40, 2002.">4</a>]</span> for a reference.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>tomo</strong> (<em>cp.ndarray</em>) – 3D array of f/d corrected tomographic projections.</p></li> +<li><p><strong>pixel_size</strong> (<em>float</em><em>, </em><em>optional</em>) – Detector pixel size in cm.</p></li> +<li><p><strong>dist</strong> (<em>float</em><em>, </em><em>optional</em>) – Propagation distance of the wavefront in cm.</p></li> +<li><p><strong>energy</strong> (<em>float</em><em>, </em><em>optional</em>) – Energy of incident wave in keV.</p></li> +<li><p><strong>alpha</strong> (<em>float</em><em>, </em><em>optional</em>) – Regularization parameter, the ratio of delta/beta. Larger values lead to more smoothing.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>The 3D array of Paganin phase-filtered projection images.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="left-prev" + href="httomolibgpu.prep.normalize.html" + title="previous page"> + <i class="fa-solid fa-angle-left"></i> + <div class="prev-next-info"> + <p class="prev-next-subtitle">previous</p> + <p class="prev-next-title"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.prep.normalize</span></code></p> + </div> + </a> + <a class="right-next" + href="httomolibgpu.prep.stripe.html" + title="next page"> + 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+</div></div> + + </div> + +</div> +</div> + + + +<div id="jb-print-docs-body" class="onlyprint"> + <h1>httomolibgpu.prep.stripe</h1> + <!-- Table of contents --> + <div id="print-main-content"> + <div id="jb-print-toc"> + + </div> + </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <section id="module-httomolibgpu.prep.stripe"> +<span id="httomolibgpu-prep-stripe"></span><h1><a class="reference internal" href="#module-httomolibgpu.prep.stripe" title="httomolibgpu.prep.stripe"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.prep.stripe</span></code></a><a class="headerlink" href="#module-httomolibgpu.prep.stripe" title="Permalink to this headline">#</a></h1> +<p>Modules for stripes removal</p> +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.prep.stripe.remove_all_stripe"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.prep.stripe.</span></span><span class="sig-name descname"><span class="pre">remove_all_stripe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">snr:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">3.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">la_size:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">61</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sm_size:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">21</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dim:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/prep/stripe.html#remove_all_stripe"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.prep.stripe.remove_all_stripe" title="Permalink to this definition">#</a></dt> +<dd><p>Remove all types of stripe artifacts from sinogram using Nghia Vo’s +approach, see <span id="id1">[<a class="reference internal" href="../bibliography/biblio.html#id6" title="Nghia T Vo, Robert C Atwood, and Michael Drakopoulos. Superior techniques for eliminating ring artifacts in x-ray micro-tomography. Optics express, 26(22):28396–28412, 2018.">8</a>]</span> (combination of algorithm 3,4,5, and 6).</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>ndarray</em>) – 3D tomographic data as a CuPy array.</p></li> +<li><p><strong>snr</strong> (<em>float</em><em>, </em><em>optional</em>) – Ratio used to locate large stripes. +Greater is less sensitive.</p></li> +<li><p><strong>la_size</strong> (<em>int</em><em>, </em><em>optional</em>) – Window size of the median filter to remove large stripes.</p></li> +<li><p><strong>sm_size</strong> (<em>int</em><em>, </em><em>optional</em>) – Window size of the median filter to remove small-to-medium stripes.</p></li> +<li><p><strong>dim</strong> (<em>{1</em><em>, </em><em>2}</em><em>, </em><em>optional</em>) – Dimension of the window.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>Corrected 3D tomographic data as a CuPy or NumPy array.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>ndarray</p> +</dd> +</dl> +</dd></dl> + +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.prep.stripe.remove_stripe_based_sorting"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.prep.stripe.</span></span><span class="sig-name descname"><span class="pre">remove_stripe_based_sorting</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">data:</span> <span class="pre">typing.Union[&lt;cp.ndarray&gt;,</span> <span class="pre">&lt;cp.ndarray&gt;],</span> <span class="pre">size:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">11,</span> <span class="pre">dim:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">1</span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union[&lt;cp.ndarray&gt;,</span> <span class="pre">&lt;cp.ndarray&gt;]</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/prep/stripe.html#remove_stripe_based_sorting"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.prep.stripe.remove_stripe_based_sorting" title="Permalink to this definition">#</a></dt> +<dd><p>Remove full and partial stripe artifacts from sinogram using Nghia Vo’s +approach, see <span id="id2">[<a class="reference internal" href="../bibliography/biblio.html#id6" title="Nghia T Vo, Robert C Atwood, and Michael Drakopoulos. Superior techniques for eliminating ring artifacts in x-ray micro-tomography. Optics express, 26(22):28396–28412, 2018.">8</a>]</span>. This algorithm works particularly +well for removing partial stripes.</p> +<p>Steps of the algorithm: 1. Sort each column of the sinogram by its grayscale values. +2. Apply a smoothing (median) filter on the sorted image along each row. 3. Re-sort the smoothed image columns to the original rows to +get the corrected sinogram.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>ndarray</em>) – 3D tomographic data as a CuPy or NumPy array.</p></li> +<li><p><strong>size</strong> (<em>int</em><em>, </em><em>optional</em>) – Window size of the median filter.</p></li> +<li><p><strong>dim</strong> (<em>{1</em><em>, </em><em>2}</em><em>, </em><em>optional</em>) – Dimension of the window.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>Corrected 3D tomographic data as a CuPy or NumPy array.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>ndarray</p> +</dd> +</dl> +</dd></dl> + +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.prep.stripe.remove_stripe_ti"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.prep.stripe.</span></span><span class="sig-name descname"><span class="pre">remove_stripe_ti</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">data:</span> <span class="pre">typing.Union[&lt;cp.ndarray&gt;,</span> <span class="pre">&lt;cp.ndarray&gt;],</span> <span class="pre">beta:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.1</span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union[&lt;cp.ndarray&gt;,</span> <span class="pre">&lt;cp.ndarray&gt;]</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/prep/stripe.html#remove_stripe_ti"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.prep.stripe.remove_stripe_ti" title="Permalink to this definition">#</a></dt> +<dd><p>Removes stripes with the method of V. Titarenko (TomoCuPy implementation). +See <span id="id3">[<a class="reference internal" href="../bibliography/biblio.html#id7" title="Sofya Titarenko, Philip J Withers, and Anatoly Yagola. An analytical formula for ring artefact suppression in x-ray tomography. Applied Mathematics Letters, 23(12):1489–1495, 2010.">5</a>]</span>.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>ndarray</em>) – 3D stack of projections as a CuPy array.</p></li> +<li><p><strong>beta</strong> (<em>float</em><em>, </em><em>optional</em>) – filter parameter, lower values increase the filter strength. +Default is 0.1.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>3D array of de-striped projections.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>ndarray</p> +</dd> +</dl> +</dd></dl> + +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="left-prev" + href="httomolibgpu.prep.phase.html" + title="previous 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class="pre">httomolibgpu.recon.algorithm</span></code></a><a class="headerlink" href="#module-httomolibgpu.recon.algorithm" title="Permalink to this headline">#</a></h1> +<p>Module for tomographic reconstruction</p> +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.recon.algorithm.CGLS"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.recon.algorithm.</span></span><span class="sig-name descname"><span class="pre">CGLS</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">angles:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center:</span> <span class="pre">typing.Optional[float]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">recon_size:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterations:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nonnegativity:</span> <span class="pre">typing.Optional[bool]</span> <span class="pre">=</span> <span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gpu_id:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/recon/algorithm.html#CGLS"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.recon.algorithm.CGLS" title="Permalink to this definition">#</a></dt> +<dd><p>Perform Congugate Gradient Least Squares (CGLS) using ASTRA toolbox <span id="id1">[<a class="reference internal" href="../bibliography/biblio.html#id9" title="Wim Van Aarle, Willem Jan Palenstijn, Jeroen Cant, Eline Janssens, Folkert Bleichrodt, Andrei Dabravolski, Jan De Beenhouwer, K Joost Batenburg, and Jan Sijbers. Fast and flexible x-ray tomography using the astra toolbox. Optics express, 24(22):25129–25147, 2016.">6</a>]</span> and +ToMoBAR <span id="id2">[<a class="reference internal" href="../bibliography/biblio.html#id10" title="Daniil Kazantsev and Nicola Wadeson. Tomographic model-based reconstruction (tomobar) software for high resolution synchrotron x-ray tomography. In CT Meeting, volume 2020. 2020.">3</a>]</span> wrappers. +This is 3D recon directly from a CuPy array while using ASTRA GPUlink capability.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – Projection data as a CuPy array.</p></li> +<li><p><strong>angles</strong> (<em>np.ndarray</em>) – An array of angles given in radians.</p></li> +<li><p><strong>center</strong> (<em>float</em><em>, </em><em>optional</em>) – The center of rotation (CoR).</p></li> +<li><p><strong>recon_size</strong> (<em>int</em><em>, </em><em>optional</em>) – The [recon_size, recon_size] shape of the reconstructed slice in pixels. +By default (None), the reconstructed size will be the dimension of the horizontal detector.</p></li> +<li><p><strong>iterations</strong> (<em>int</em><em>, </em><em>optional</em>) – The number of CGLS iterations.</p></li> +<li><p><strong>nonnegativity</strong> (<em>bool</em><em>, </em><em>optional</em>) – Impose nonnegativity constraint on reconstructed image.</p></li> +<li><p><strong>gpu_id</strong> (<em>int</em><em>, </em><em>optional</em>) – A GPU device index to perform operation on.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>The CGLS reconstructed volume as a CuPy array.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.recon.algorithm.FBP"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.recon.algorithm.</span></span><span class="sig-name descname"><span class="pre">FBP</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">angles:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center:</span> <span class="pre">typing.Optional[float]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_freq_cutoff:</span> <span class="pre">typing.Optional[float]</span> <span class="pre">=</span> <span class="pre">1.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">recon_size:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">recon_mask_radius:</span> <span class="pre">typing.Optional[float]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gpu_id:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/recon/algorithm.html#FBP"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.recon.algorithm.FBP" title="Permalink to this definition">#</a></dt> +<dd><p>Perform Filtered Backprojection (FBP) reconstruction using ASTRA toolbox <span id="id3">[<a class="reference internal" href="../bibliography/biblio.html#id9" title="Wim Van Aarle, Willem Jan Palenstijn, Jeroen Cant, Eline Janssens, Folkert Bleichrodt, Andrei Dabravolski, Jan De Beenhouwer, K Joost Batenburg, and Jan Sijbers. Fast and flexible x-ray tomography using the astra toolbox. Optics express, 24(22):25129–25147, 2016.">6</a>]</span> and +ToMoBAR <span id="id4">[<a class="reference internal" href="../bibliography/biblio.html#id10" title="Daniil Kazantsev and Nicola Wadeson. Tomographic model-based reconstruction (tomobar) software for high resolution synchrotron x-ray tomography. In CT Meeting, volume 2020. 2020.">3</a>]</span> wrappers. +This is a 3D recon from a CuPy array directly and a custom built filter.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – Projection data as a CuPy array.</p></li> +<li><p><strong>angles</strong> (<em>np.ndarray</em>) – An array of angles given in radians.</p></li> +<li><p><strong>center</strong> (<em>float</em><em>, </em><em>optional</em>) – The center of rotation (CoR).</p></li> +<li><p><strong>filter_freq_cutoff</strong> (<em>float</em><em>, </em><em>optional</em>) – Cutoff frequency parameter for the sinc filter, the lowest values produce more crispy but noisy reconstruction.</p></li> +<li><p><strong>recon_size</strong> (<em>int</em><em>, </em><em>optional</em>) – The [recon_size, recon_size] shape of the reconstructed slice in pixels. +By default (None), the reconstructed size will be the dimension of the horizontal detector.</p></li> +<li><p><strong>recon_mask_radius</strong> (<em>float</em><em>, </em><em>optional</em>) – The radius of the circular mask that applies to the reconstructed slice in order to crop +out some undesirable artifacts. The values outside the diameter will be set to zero. +None by default, to see the effect of the mask try setting the value in the range [0.7-1.0].</p></li> +<li><p><strong>gpu_id</strong> (<em>int</em><em>, </em><em>optional</em>) – A GPU device index to perform operation on.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>The FBP reconstructed volume as a CuPy array.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.recon.algorithm.LPRec"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.recon.algorithm.</span></span><span class="sig-name descname"><span class="pre">LPRec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">angles:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center:</span> <span class="pre">typing.Optional[float]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">recon_size:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">recon_mask_radius:</span> <span class="pre">typing.Optional[float]</span> <span class="pre">=</span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/recon/algorithm.html#LPRec"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.recon.algorithm.LPRec" title="Permalink to this definition">#</a></dt> +<dd><p>Fourier direct inversion in 3D on unequally spaced (also called as Log-Polar) grids using +CuPy array as an input. This implementation follows V. Nikitin’s CUDA-C implementation and TomoCuPy package. +<span id="id5">[<a class="reference internal" href="../bibliography/biblio.html#id11" title="Fredrik Andersson, Marcus Carlsson, and Viktor V Nikitin. Fast algorithms and efficient gpu implementations for the radon transform and the back-projection operator represented as convolution operators. SIAM Journal on Imaging Sciences, 9(2):637–664, 2016.">1</a>]</span>.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – Projection data as a CuPy array.</p></li> +<li><p><strong>angles</strong> (<em>np.ndarray</em>) – An array of angles given in radians.</p></li> +<li><p><strong>center</strong> (<em>float</em><em>, </em><em>optional</em>) – The center of rotation (CoR).</p></li> +<li><p><strong>recon_size</strong> (<em>int</em><em>, </em><em>optional</em>) – The [recon_size, recon_size] shape of the reconstructed slice in pixels. +By default (None), the reconstructed size will be the dimension of the horizontal detector.</p></li> +<li><p><strong>recon_mask_radius</strong> (<em>float</em><em>, </em><em>optional</em>) – The radius of the circular mask that applies to the reconstructed slice in order to crop +out some undesirable artifacts. The values outside the diameter will be set to zero. +None by default, to see the effect of the mask try setting the value in the range [0.7-1.0].</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>The Log-polar Fourier reconstructed volume as a CuPy array.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.recon.algorithm.SIRT"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.recon.algorithm.</span></span><span class="sig-name descname"><span class="pre">SIRT</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">angles:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">center:</span> <span class="pre">typing.Optional[float]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">recon_size:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iterations:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">300</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nonnegativity:</span> <span class="pre">typing.Optional[bool]</span> <span class="pre">=</span> <span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gpu_id:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">&lt;cp.ndarray&gt;</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/recon/algorithm.html#SIRT"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.recon.algorithm.SIRT" title="Permalink to this definition">#</a></dt> +<dd><p>Perform Simultaneous Iterative Recostruction Technique (SIRT) using ASTRA toolbox <span id="id6">[<a class="reference internal" href="../bibliography/biblio.html#id9" title="Wim Van Aarle, Willem Jan Palenstijn, Jeroen Cant, Eline Janssens, Folkert Bleichrodt, Andrei Dabravolski, Jan De Beenhouwer, K Joost Batenburg, and Jan Sijbers. Fast and flexible x-ray tomography using the astra toolbox. Optics express, 24(22):25129–25147, 2016.">6</a>]</span> and +ToMoBAR <span id="id7">[<a class="reference internal" href="../bibliography/biblio.html#id10" title="Daniil Kazantsev and Nicola Wadeson. Tomographic model-based reconstruction (tomobar) software for high resolution synchrotron x-ray tomography. In CT Meeting, volume 2020. 2020.">3</a>]</span> wrappers. +This is 3D recon directly from a CuPy array while using ASTRA GPUlink capability.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – Projection data as a CuPy array.</p></li> +<li><p><strong>angles</strong> (<em>np.ndarray</em>) – An array of angles given in radians.</p></li> +<li><p><strong>center</strong> (<em>float</em><em>, </em><em>optional</em>) – The center of rotation (CoR).</p></li> +<li><p><strong>recon_size</strong> (<em>int</em><em>, </em><em>optional</em>) – The [recon_size, recon_size] shape of the reconstructed slice in pixels. +By default (None), the reconstructed size will be the dimension of the horizontal detector.</p></li> +<li><p><strong>iterations</strong> (<em>int</em><em>, </em><em>optional</em>) – The number of SIRT iterations.</p></li> +<li><p><strong>nonnegativity</strong> (<em>bool</em><em>, </em><em>optional</em>) – Impose nonnegativity constraint on reconstructed image.</p></li> +<li><p><strong>gpu_id</strong> (<em>int</em><em>, </em><em>optional</em>) – A GPU device index to perform operation on.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>The SIRT reconstructed volume as a CuPy array.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>cp.ndarray</p> +</dd> +</dl> +</dd></dl> + +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="left-prev" + href="httomolibgpu.prep.stripe.html" + title="previous page"> + <i class="fa-solid fa-angle-left"></i> + <div class="prev-next-info"> + <p class="prev-next-subtitle">previous</p> + <p class="prev-next-title"><code class="xref py py-mod docutils literal 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class="headerlink" href="#module-httomolibgpu.recon.rotation" title="Permalink to this headline">#</a></h1> +<p>Modules for finding the axis of rotation for 180 and 360 degrees scans</p> +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.recon.rotation.find_center_360"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.recon.rotation.</span></span><span class="sig-name descname"><span class="pre">find_center_360</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ind:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">win_width:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">side:</span> <span class="pre">typing.Optional[typing.Literal[0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">1]]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">denoise:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">norm:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_overlap:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Literal</span><span class="p"><span class="pre">[</span></span><span class="m"><span class="pre">0</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="m"><span class="pre">1</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../_modules/httomolibgpu/recon/rotation.html#find_center_360"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.recon.rotation.find_center_360" title="Permalink to this definition">#</a></dt> +<dd><p>Find the center-of-rotation (COR) in a 360-degree scan and also an offset +to perform data transformation from 360 to 180 degrees scan. See <span id="id1">[<a class="reference internal" href="../bibliography/biblio.html#id3" title="Nghia T Vo, Robert C Atwood, Michael Drakopoulos, and Thomas Connolley. Data processing methods and data acquisition for samples larger than the field of view in parallel-beam tomography. Optics Express, 29(12):17849–17874, 2021.">9</a>]</span>.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – 3D tomographic data as a Cupy array.</p></li> +<li><p><strong>ind</strong> (<em>int</em><em>, </em><em>optional</em>) – Index of the slice to be used for estimate the CoR and the overlap.</p></li> +<li><p><strong>win_width</strong> (<em>int</em><em>, </em><em>optional</em>) – Window width used for finding the overlap area.</p></li> +<li><p><strong>side</strong> (<em>{None</em><em>, </em><em>0</em><em>, </em><em>1}</em><em>, </em><em>optional</em>) – Overlap size. Only there options: None, 0, or 1. “None” corresponds +to fully automated determination. “0” corresponds to the left side. +“1” corresponds to the right side.</p></li> +<li><p><strong>denoise</strong> (<em>bool</em><em>, </em><em>optional</em>) – Apply the Gaussian filter if True.</p></li> +<li><p><strong>norm</strong> (<em>bool</em><em>, </em><em>optional</em>) – Apply the normalisation if True.</p></li> +<li><p><strong>use_overlap</strong> (<em>bool</em><em>, </em><em>optional</em>) – Use the combination of images in the overlap area for calculating +correlation coefficients if True.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p><ul class="simple"> +<li><p><strong>cor</strong> (<em>float</em>) – Center-of-rotation.</p></li> +<li><p><strong>overlap</strong> (<em>float</em>) – Width of the overlap area between two halves of the sinogram.</p></li> +<li><p><strong>side</strong> (<em>int</em>) – Overlap side between two halves of the sinogram.</p></li> +<li><p><strong>overlap_position</strong> (<em>float</em>) – Position of the window in the first image giving the best +correlation metric.</p></li> +</ul> +</p> +</dd> +</dl> +</dd></dl> + +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.recon.rotation.find_center_pc"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.recon.rotation.</span></span><span class="sig-name descname"><span class="pre">find_center_pc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">proj1:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">proj2:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tol:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rotc_guess:</span> <span class="pre">typing.Optional[typing.Union[float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">str]]</span> <span class="pre">=</span> <span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/recon/rotation.html#find_center_pc"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.recon.rotation.find_center_pc" title="Permalink to this definition">#</a></dt> +<dd><p>Find rotation axis location by finding the offset between the first +projection and a mirrored projection 180 degrees apart using +phase correlation in Fourier space. +The <cite>phase_cross_correlation</cite> function uses cross-correlation in Fourier +space, optionally employing an upsampled matrix-multiplication DFT to +achieve arbitrary subpixel precision. See <span id="id2">[<a class="reference internal" href="../bibliography/biblio.html#id5" title="Manuel Guizar-Sicairos, Samuel T Thurman, and James R Fienup. Efficient subpixel image registration algorithms. Optics letters, 33(2):156–158, 2008.">2</a>]</span>.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>proj1</strong> (<em>cp.ndarray</em>) – Projection from the 0th degree angle.</p></li> +<li><p><strong>proj2</strong> (<em>cp.ndarray</em>) – Projection from the 180th degree angle.</p></li> +<li><p><strong>tol</strong> (<em>float</em><em>, </em><em>optional</em>) – Subpixel accuracy. Defaults to 0.5.</p></li> +<li><p><strong>rotc_guess</strong> (<em>float</em><em>, </em><em>optional</em>) – Initial guess value for the rotation center. Defaults to None.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>Rotation axis location.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>float</p> +</dd> +</dl> +</dd></dl> + +<dl class="py function"> +<dt class="sig sig-object py" id="httomolibgpu.recon.rotation.find_center_vo"> +<span class="sig-prename descclassname"><span class="pre">httomolibgpu.recon.rotation.</span></span><span class="sig-name descname"><span class="pre">find_center_vo</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data:</span> <span class="pre">&lt;cp.ndarray&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ind:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smin:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">-50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smax:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">srad:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">6.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">step:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ratio:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">20</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="reference internal" href="../_modules/httomolibgpu/recon/rotation.html#find_center_vo"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#httomolibgpu.recon.rotation.find_center_vo" title="Permalink to this definition">#</a></dt> +<dd><p>Find rotation axis location (aka CoR) using Nghia Vo’s method. See the paper +<span id="id3">[<a class="reference internal" href="../bibliography/biblio.html#id4" title="Nghia T Vo, Michael Drakopoulos, Robert C Atwood, and Christina Reinhard. Reliable method for calculating the center of rotation in parallel-beam tomography. Optics express, 22(16):19078–19086, 2014.">10</a>]</span>.</p> +<dl class="field-list simple"> +<dt class="field-odd">Parameters</dt> +<dd class="field-odd"><ul class="simple"> +<li><p><strong>data</strong> (<em>cp.ndarray</em>) – 3D tomographic data or a 2D sinogram as a CuPy array.</p></li> +<li><p><strong>ind</strong> (<em>int</em><em>, </em><em>optional</em>) – Index of the slice to be used to estimate the CoR.</p></li> +<li><p><strong>smin</strong> (<em>int</em><em>, </em><em>optional</em>) – Coarse search radius. Reference to the horizontal center of +the sinogram.</p></li> +<li><p><strong>smax</strong> (<em>int</em><em>, </em><em>optional</em>) – Coarse search radius. Reference to the horizontal center of +the sinogram.</p></li> +<li><p><strong>srad</strong> (<em>float</em><em>, </em><em>optional</em>) – Fine search radius.</p></li> +<li><p><strong>step</strong> (<em>float</em><em>, </em><em>optional</em>) – Step of fine searching.</p></li> +<li><p><strong>ratio</strong> (<em>float</em><em>, </em><em>optional</em>) – The ratio between the FOV of the camera and the size of object. +It’s used to generate the mask.</p></li> +<li><p><strong>drop</strong> (<em>int</em><em>, </em><em>optional</em>) – Drop lines around vertical center of the mask.</p></li> +</ul> +</dd> +<dt class="field-even">Returns</dt> +<dd class="field-even"><p>Rotation axis location.</p> +</dd> +<dt class="field-odd">Return type</dt> +<dd class="field-odd"><p>float</p> +</dd> +</dl> +</dd></dl> + +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / 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Fast algorithms and efficient gpu implementations for the radon transform and the back-projection operator represented as convolution operators. <em>SIAM Journal on Imaging Sciences</em>, 9(2):637–664, 2016.</p> +</dd> +<dt class="label" id="id5"><span class="brackets">2</span></dt> +<dd><p>Manuel Guizar-Sicairos, Samuel T Thurman, and James R Fienup. Efficient subpixel image registration algorithms. <em>Optics letters</em>, 33(2):156–158, 2008.</p> +</dd> +<dt class="label" id="id10"><span class="brackets">3</span></dt> +<dd><p>Daniil Kazantsev and Nicola Wadeson. Tomographic model-based reconstruction (tomobar) software for high resolution synchrotron x-ray tomography. In <em>CT Meeting</em>, volume 2020. 2020.</p> +</dd> +<dt class="label" id="id2"><span class="brackets">4</span></dt> +<dd><p>David Paganin, Sheridan C Mayo, Tim E Gureyev, Peter R Miller, and Steve W Wilkins. Simultaneous phase and amplitude extraction from a single defocused image of a homogeneous object. <em>Journal of microscopy</em>, 206(1):33–40, 2002.</p> +</dd> +<dt class="label" id="id7"><span class="brackets">5</span></dt> +<dd><p>Sofya Titarenko, Philip J Withers, and Anatoly Yagola. An analytical formula for ring artefact suppression in x-ray tomography. <em>Applied Mathematics Letters</em>, 23(12):1489–1495, 2010.</p> +</dd> +<dt class="label" id="id9"><span class="brackets">6</span></dt> +<dd><p>Wim Van Aarle, Willem Jan Palenstijn, Jeroen Cant, Eline Janssens, Folkert Bleichrodt, Andrei Dabravolski, Jan De Beenhouwer, K Joost Batenburg, and Jan Sijbers. Fast and flexible x-ray tomography using the astra toolbox. <em>Optics express</em>, 24(22):25129–25147, 2016.</p> +</dd> +<dt class="label" id="id8"><span class="brackets">7</span></dt> +<dd><p>Nghia T Vo, Robert C Atwood, and Michael Drakopoulos. Radial lens distortion correction with sub-pixel accuracy for x-ray micro-tomography. <em>Optics express</em>, 23(25):32859–32868, 2015.</p> +</dd> +<dt class="label" id="id6"><span class="brackets">8</span></dt> +<dd><p>Nghia T Vo, Robert C Atwood, and Michael Drakopoulos. Superior techniques for eliminating ring artifacts in x-ray micro-tomography. <em>Optics express</em>, 26(22):28396–28412, 2018.</p> +</dd> +<dt class="label" id="id3"><span class="brackets">9</span></dt> +<dd><p>Nghia T Vo, Robert C Atwood, Michael Drakopoulos, and Thomas Connolley. Data processing methods and data acquisition for samples larger than the field of view in parallel-beam tomography. <em>Optics Express</em>, 29(12):17849–17874, 2021.</p> +</dd> +<dt class="label" id="id4"><span class="brackets">10</span></dt> +<dd><p>Nghia T Vo, Michael Drakopoulos, Robert C Atwood, and Christina Reinhard. Reliable method for calculating the center of rotation in parallel-beam tomography. <em>Optics express</em>, 22(16):19078–19086, 2014.</p> +</dd> +</dl> +</div> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="left-prev" + href="../api/httomolibgpu.recon.rotation.html" + title="previous page"> + <i class="fa-solid fa-angle-left"></i> + <div class="prev-next-info"> + <p class="prev-next-subtitle">previous</p> + <p class="prev-next-title"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.rotation</span></code></p> + </div> + </a> + <a class="right-next" + href="../examples/pipeline1_FBP.html" + title="next page"> + <div class="prev-next-info"> + <p class="prev-next-subtitle">next</p> + <p class="prev-next-title">Example 1 (FBP and Fourier)</p> + </div> + <i 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class="reference internal" href="DistortionCorr.html">Example 3 (Distortion corr)</a></li> +</ul> + + </div> +</nav></div> + </div> + + + <div class="sidebar-primary-items__end sidebar-primary__section"> + </div> + + <div id="rtd-footer-container"></div> + + + </div> + + <main id="main-content" class="bd-main"> + + + +<div class="sbt-scroll-pixel-helper"></div> + + <div class="bd-content"> + <div class="bd-article-container"> + + <div class="bd-header-article"> +<div class="header-article-items header-article__inner"> + + <div class="header-article-items__start"> + + <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip"> + <span class="fa-solid fa-bars"></span> +</label></div> + + </div> + + + <div class="header-article-items__end"> + + <div class="header-article-item"> + +<div class="article-header-buttons"> + + + + + +<div class="dropdown 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<section id="Example-4-(real-data)"> +<h1>Example 4 (real data)<a class="headerlink" href="#Example-4-(real-data)" title="Permalink to this headline">#</a></h1> +<section id="This-example-shows-how-to-use-methods-from-the-HTTomolibgpy-library-to-do-the-following:"> +<h2>This example shows how to use methods from the HTTomolibgpy library to do the following:<a class="headerlink" href="#This-example-shows-how-to-use-methods-from-the-HTTomolibgpy-library-to-do-the-following:" title="Permalink to this headline">#</a></h2> +<ul class="simple"> +<li><p>calculate the centre of rotation using the Vo Centering method for large real data</p></li> +<li><p>remove stripes using remove all stripes method</p></li> +<li><p>reconstruct using the FBP algorithm</p></li> +</ul> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>import os +import numpy as np +import cupy as cp +import scipy +import httomolibgpu +import matplotlib.pyplot as plt + +# Load the sinogram data +path_lib = os.path.dirname(httomolibgpu.__file__) +in_file = os.path.abspath( + os.path.join(path_lib, &quot;..&quot;, &quot;tests/test_data/&quot;, &quot;3600proj_sino.npz&quot;) +) +l_infile = np.load(in_file) +sinogram = l_infile[&quot;sinogram&quot;] +angles = l_infile[&quot;angles&quot;] +sinogram = cp.asarray(sinogram) + +print(&quot;The shape of the sinogram is {}&quot;.format(cp.shape(sinogram))) +</pre></div> +</div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +The shape of the sinogram is (3601, 2560) +</pre></div></div> +</div> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>plt.figure() +plt.imshow(sinogram.get()) +plt.title(&quot;Sinogram view&quot;) +plt.show() +</pre></div> +</div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_Cor_largesino_3_0.png" src="../_images/examples_Cor_largesino_3_0.png" /> +</div> +</div> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>from httomolibgpu.recon.rotation import find_center_vo + +print(&quot;Finding the Center of Rotation for the reconstruction&quot;) +cor = find_center_vo(sinogram) +print(&quot;The found Center of Rotation is {}&quot;.format(cor)) +</pre></div> +</div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +Finding the Center of Rotation for the reconstruction +WARNING!!!Global minimum is out of searching range +Please extend smax: 12.5 +The found Center of Rotation is 1333.25 +</pre></div></div> +</div> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>from httomolibgpu.prep.stripe import remove_all_stripe + +print(&quot;Remove stripes using remove_all_stripe&quot;) + +sino3d = cp.ascontiguousarray( + cp.ones((sinogram.shape[0], 3, sinogram.shape[1])), dtype=cp.float32 +) +sino3d[:, 1, :] = sinogram + +sino3d = remove_all_stripe(sino3d) + +plt.figure() +plt.imshow(sino3d[:, 1, :].get()) +plt.title(&quot;Sinogram after stripes removal&quot;) +plt.show() +</pre></div> +</div> +</div> +<div class="nboutput docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +Remove stripes using remove_all_stripe +</pre></div></div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_Cor_largesino_5_1.png" src="../_images/examples_Cor_largesino_5_1.png" /> +</div> +</div> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>print(&quot;Perform Reconstruction using FBP&quot;) +from httomolibgpu.recon.algorithm import FBP + +reconFBP = FBP(sino3d, angles=angles, center=cor) +reconFBP_np = reconFBP.get() + +plt.figure() +plt.imshow(reconFBP_np[500:2000, 1, 500:2000], vmin=0, vmax=0.01) +plt.title(&quot;Reconstruction with FBP&quot;) +plt.show() +</pre></div> +</div> +</div> +<div class="nboutput docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +Perform Reconstruction using FBP +</pre></div></div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_Cor_largesino_6_1.png" src="../_images/examples_Cor_largesino_6_1.png" /> +</div> +</div> +</section> +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous 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nav-item toc-entry"><a class="reference internal nav-link" href="#This-example-shows-how-to-use-methods-from-the-HTTomolibgpy-library-to-do-the-following:">This example shows how to use methods from the HTTomolibgpy library to do the following:</a></li> +</ul> + </nav></div> + +</div></div> + + + </div> + <footer class="bd-footer-content"> + +<div class="bd-footer-content__inner container"> + + <div class="footer-item"> + + </div> + + <div class="footer-item"> + + <p class="copyright"> + + © Copyright 2024, Diamond Light Source. + <br/> + + </p> + + </div> + + <div class="footer-item"> + <p class="last-updated"> + Last updated on Sep 20, 2024. + <br/> +</p> + </div> + + <div class="footer-item"> + + </div> + +</div> + </footer> + + + </main> + </div> + </div> + + <!-- Scripts loaded after <body> so the DOM is not blocked --> + <script src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script> +<script src="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script> + + <footer class="bd-footer"> + </footer> + </body> +</html> \ No newline at end of file diff --git a/examples/Cor_largesino.ipynb b/examples/Cor_largesino.ipynb new file mode 100644 index 00000000..384ae689 --- /dev/null +++ b/examples/Cor_largesino.ipynb @@ -0,0 +1,207 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6d3c78cb-9bed-4509-b41d-ce7880da8b20", + "metadata": {}, + "source": [ + "### Example 4 (real data)" + ] + }, + { + "cell_type": "markdown", + "id": "2e330fdd-2130-4f85-b5c7-7a45c460eaa5", + "metadata": {}, + "source": [ + "#### This example shows how to use methods from the HTTomolibgpy library to do the following:\n", + "* calculate the centre of rotation using the Vo Centering method for large real data\n", + "* remove stripes using remove all stripes method\n", + "* reconstruct using the FBP algorithm" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2e24c0a6-2501-4e3b-b27c-713dd4f8bf3c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The shape of the sinogram is (3601, 2560)\n" + ] + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import scipy\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Load the sinogram data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(path_lib, \"..\", \"tests/test_data/\", \"3600proj_sino.npz\")\n", + ")\n", + "l_infile = np.load(in_file)\n", + "sinogram = l_infile[\"sinogram\"]\n", + "angles = l_infile[\"angles\"]\n", + "sinogram = cp.asarray(sinogram)\n", + "\n", + "print(\"The shape of the sinogram is {}\".format(cp.shape(sinogram)))" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f34e3db3-a4f6-49f2-b673-2fe83760c343", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.imshow(sinogram.get())\n", + "plt.title(\"Sinogram view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1b4ac4ef-5276-4373-9291-2238accd6c5d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finding the Center of Rotation for the reconstruction\n", + "WARNING!!!Global minimum is out of searching range\n", + "Please extend smax: 12.5\n", + "The found Center of Rotation is 1333.25\n" + ] + } + ], + "source": [ + "from httomolibgpu.recon.rotation import find_center_vo\n", + "\n", + "print(\"Finding the Center of Rotation for the reconstruction\")\n", + "cor = find_center_vo(sinogram)\n", + "print(\"The found Center of Rotation is {}\".format(cor))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9d150dc1-0fab-4048-b3f6-3cc788c7179f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Remove stripes using remove_all_stripe\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from httomolibgpu.prep.stripe import remove_all_stripe\n", + "\n", + "print(\"Remove stripes using remove_all_stripe\")\n", + "\n", + "sino3d = cp.ascontiguousarray(\n", + " cp.ones((sinogram.shape[0], 3, sinogram.shape[1])), dtype=cp.float32\n", + ")\n", + "sino3d[:, 1, :] = sinogram\n", + "\n", + "sino3d = remove_all_stripe(sino3d)\n", + "\n", + "plt.figure()\n", + "plt.imshow(sino3d[:, 1, :].get())\n", + "plt.title(\"Sinogram after stripes removal\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "275e446c-f9ae-4e6a-9620-62ad145a8370", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using FBP\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using FBP\")\n", + "from httomolibgpu.recon.algorithm import FBP\n", + "\n", + "reconFBP = FBP(sino3d, angles=angles, center=cor)\n", + "reconFBP_np = reconFBP.get()\n", + "\n", + "plt.figure()\n", + "plt.imshow(reconFBP_np[500:2000, 1, 500:2000], vmin=0, vmax=0.01)\n", + "plt.title(\"Reconstruction with FBP\")\n", + "plt.show()" + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/DistortionCorr.html 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class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.algorithm</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="../api/httomolibgpu.recon.rotation.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.rotation</span></code></a></li> +</ul> +</li> +<li class="toctree-l1"><a class="reference internal" href="../bibliography/biblio.html">Bibliography</a></li> +</ul> +<p aria-level="2" class="caption" role="heading"><span class="caption-text">Examples</span></p> +<ul class="current nav bd-sidenav"> +<li class="toctree-l1"><a class="reference internal" href="pipeline1_FBP.html">Example 1 (FBP and Fourier)</a></li> +<li class="toctree-l1"><a class="reference internal" href="pipeline2_iterative.html">Example 2 (Iterative Rec)</a></li> +<li class="toctree-l1"><a class="reference internal" href="Cor_largesino.html">Example 4 (real data)</a></li> +<li class="toctree-l1 current active"><a class="current reference internal" href="#">Example 3 (Distortion corr)</a></li> +</ul> + + </div> +</nav></div> + </div> + + + <div class="sidebar-primary-items__end sidebar-primary__section"> + </div> + + <div id="rtd-footer-container"></div> + + + </div> + + <main id="main-content" class="bd-main"> + + + +<div class="sbt-scroll-pixel-helper"></div> + + <div class="bd-content"> + <div class="bd-article-container"> + + <div class="bd-header-article"> +<div class="header-article-items header-article__inner"> + + <div class="header-article-items__start"> + + <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip"> + <span class="fa-solid fa-bars"></span> +</label></div> + + </div> + + + <div class="header-article-items__end"> + + <div class="header-article-item"> + +<div class="article-header-buttons"> + + + + + +<div class="dropdown 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distortion_correction_proj_discorpy + +# Load the projection data +path_lib = os.path.dirname(httomolibgpu.__file__) +in_file = os.path.abspath( + os.path.join( + path_lib, &quot;..&quot;, &quot;tests/test_data/&quot;, &quot;distortion-correction/dot_pattern_03.tif&quot; + ) +) +im_host = plt.imread(in_file) +im = cp.asarray(im_host) + +# Define the `preview` to not crop out any of the image +PREVIEW = {&quot;starts&quot;: [0, 0], &quot;stops&quot;: [im.shape[0], im.shape[1]], &quot;steps&quot;: [1, 1]} + +# Point to the file containing the distortion coefficients (assumed to be +# calculated in advance of the main processing pipeline) +distortion_coeffs_file_path = os.path.abspath( + os.path.join( + path_lib, + &quot;..&quot;, + &quot;tests/test_data/&quot;, + &quot;distortion-correction/distortion-coeffs.txt&quot;, + ) +) + +# Apply distortion correction +corrected_images = distortion_correction_proj_discorpy( + im, distortion_coeffs_file_path, PREVIEW +) +corrected_images = cp.squeeze(corrected_images) + +sliceSel = 64 +corrected_images_np = corrected_images.get() + +plt.figure() +plt.imshow(im_host) +plt.title(&quot;Uncorrected image&quot;) +plt.show() + +plt.figure() +plt.imshow(corrected_images_np) +plt.title(&quot;Corrected image&quot;) +plt.show() +</pre></div> +</div> +</div> +<div class="nboutput docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_DistortionCorr_1_0.png" src="../_images/examples_DistortionCorr_1_0.png" /> +</div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_DistortionCorr_1_1.png" src="../_images/examples_DistortionCorr_1_1.png" /> +</div> +</div> +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div 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src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script> +<script src="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script> + + <footer class="bd-footer"> + </footer> + </body> +</html> \ No newline at end of file diff --git a/examples/DistortionCorr.ipynb b/examples/DistortionCorr.ipynb new file mode 100644 index 00000000..ce16d5dd --- /dev/null +++ b/examples/DistortionCorr.ipynb @@ -0,0 +1,110 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 3 (Distortion corr)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "from httomolibgpu.prep.alignment import distortion_correction_proj_discorpy\n", + "\n", + "# Load the projection data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(\n", + " path_lib, \"..\", \"tests/test_data/\", \"distortion-correction/dot_pattern_03.tif\"\n", + " )\n", + ")\n", + "im_host = plt.imread(in_file)\n", + "im = cp.asarray(im_host)\n", + "\n", + "# Define the `preview` to not crop out any of the image\n", + "PREVIEW = {\"starts\": [0, 0], \"stops\": [im.shape[0], im.shape[1]], \"steps\": [1, 1]}\n", + "\n", + "# Point to the file containing the distortion coefficients (assumed to be\n", + "# calculated in advance of the main processing pipeline)\n", + "distortion_coeffs_file_path = os.path.abspath(\n", + " os.path.join(\n", + " path_lib,\n", + " \"..\",\n", + " \"tests/test_data/\",\n", + " \"distortion-correction/distortion-coeffs.txt\",\n", + " )\n", + ")\n", + "\n", + "# Apply distortion correction\n", + "corrected_images = distortion_correction_proj_discorpy(\n", + " im, distortion_coeffs_file_path, PREVIEW\n", + ")\n", + "corrected_images = cp.squeeze(corrected_images)\n", + "\n", + "sliceSel = 64\n", + "corrected_images_np = corrected_images.get()\n", + "\n", + "plt.figure()\n", + "plt.imshow(im_host)\n", + "plt.title(\"Uncorrected image\")\n", + "plt.show()\n", + "\n", + "plt.figure()\n", + "plt.imshow(corrected_images_np)\n", + "plt.title(\"Corrected image\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + 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nav section-nav flex-column"> +<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#This-example-shows-how-to-use-methods-from-the-HTTomolibgpy-library-to-do-the-following:">This example shows how to use methods from the HTTomolibgpy library to do the following:</a></li> +</ul> + </nav> + </div> + </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <section id="Example-1-(FBP-and-Fourier)"> +<h1>Example 1 (FBP and Fourier)<a class="headerlink" href="#Example-1-(FBP-and-Fourier)" title="Permalink to this headline">#</a></h1> +<section id="This-example-shows-how-to-use-methods-from-the-HTTomolibgpy-library-to-do-the-following:"> +<h2>This example shows how to use methods from the HTTomolibgpy library to do the following:<a class="headerlink" href="#This-example-shows-how-to-use-methods-from-the-HTTomolibgpy-library-to-do-the-following:" title="Permalink to this headline">#</a></h2> +<ul class="simple"> +<li><p>normalise the data</p></li> +<li><p>calculate the centre of rotation using Vo Centering method</p></li> +<li><p>reconstruct using the FBP and Fourier algorithms</p></li> +</ul> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>import os +import numpy as np +import cupy as cp +import httomolibgpu +import matplotlib.pyplot as plt +from httomolibgpu.prep.normalize import normalize + +# Load the projection data +path_lib = os.path.dirname(httomolibgpu.__file__) +in_file = os.path.abspath( + os.path.join(path_lib, &quot;..&quot;, &quot;tests/test_data/&quot;, &quot;tomo_standard.npz&quot;) +) +datafile = np.load(in_file) +host_data = datafile[&quot;data&quot;] +host_flats = datafile[&quot;flats&quot;] +host_darks = datafile[&quot;darks&quot;] + +print( + &quot;The shape of the data is {} as (projections, detector Y, detector X)&quot;.format( + np.shape(host_data) + ) +) + +print(&quot;Normalising the data&quot;) +data = cp.asarray(host_data) +flats = cp.asarray(host_flats) +darks = cp.asarray(host_darks) +data_normalised = normalize(data, flats, darks, cutoff=10, minus_log=False) + +sliceSel = 64 +data_normalised_np = data_normalised.get() + +plt.figure() +plt.subplot(131) +plt.imshow(data_normalised_np[sliceSel, :, :]) +plt.title(&quot;Projection view&quot;) + +plt.subplot(132) +plt.imshow(data_normalised_np[:, sliceSel, :]) +plt.title(&quot;Sinogram view&quot;) + +plt.subplot(133) +plt.imshow(data_normalised_np[:, :, sliceSel]) +plt.title(&quot;Sagittal view&quot;) +plt.show() +</pre></div> +</div> +</div> +<div class="nboutput docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +The shape of the data is (180, 128, 160) as (projections, detector Y, detector X) +Normalising the data +</pre></div></div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_pipeline1_FBP_2_1.png" src="../_images/examples_pipeline1_FBP_2_1.png" /> +</div> +</div> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>from httomolibgpu.recon.rotation import find_center_vo + +print(&quot;Finding the Center of Rotation for the reconstruction&quot;) +cor = find_center_vo(data_normalised, ind=64) +print(&quot;The found Center of Rotation is {}&quot;.format(cor)) +</pre></div> +</div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +Finding the Center of Rotation for the reconstruction +The found Center of Rotation is 79.5 +</pre></div></div> +</div> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>from httomolibgpu.prep.phase import paganin_filter_tomopy + +print(&quot;Applying Paganin filter&quot;) +phase_contrast_data = paganin_filter_tomopy( + data_normalised, pixel_size=0.1, dist=50, energy=53, alpha=1e-5 +) + +sliceSel = 64 +phase_contrast_data_np = phase_contrast_data.get() + +plt.figure() +plt.subplot(131) +plt.imshow(phase_contrast_data_np[sliceSel, :, :]) +plt.title(&quot;Projection view&quot;) + +plt.subplot(132) +plt.imshow(phase_contrast_data_np[:, sliceSel, :]) +plt.title(&quot;Sinogram view&quot;) + +plt.subplot(133) +plt.imshow(phase_contrast_data_np[:, :, sliceSel]) +plt.title(&quot;Sagittal view&quot;) +plt.show() +</pre></div> +</div> +</div> +<div class="nboutput docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +Applying Paganin filter +</pre></div></div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_pipeline1_FBP_4_1.png" src="../_images/examples_pipeline1_FBP_4_1.png" /> +</div> +</div> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[4]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>print(&quot;Perform Reconstruction using FBP&quot;) + +from httomolibgpu.recon.algorithm import FBP + +angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0]) + +reconFBP = FBP(phase_contrast_data, angles=angles, center=cor) + +reconFBP_np = reconFBP.get() + +sliceSel = 64 +plt.figure() +plt.subplot(131) +plt.imshow(reconFBP_np[sliceSel, :, :]) +plt.title(&quot;Recon coronal view&quot;) + +plt.subplot(132) +plt.imshow(reconFBP_np[:, sliceSel, :]) +plt.title(&quot;Axial view&quot;) + +plt.subplot(133) +plt.imshow(reconFBP_np[:, :, sliceSel]) +plt.title(&quot;Sagittal view&quot;) +plt.show() +</pre></div> +</div> +</div> +<div class="nboutput docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +Perform Reconstruction using FBP +</pre></div></div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_pipeline1_FBP_5_1.png" src="../_images/examples_pipeline1_FBP_5_1.png" /> +</div> +</div> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[5]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>print(&quot;Perform Reconstruction using Fourier (LPRec)&quot;) + +from httomolibgpu.recon.algorithm import LPRec + +angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0]) + +reconLPRec = LPRec(phase_contrast_data, angles=angles, center=cor) + +reconLPRec_np = reconLPRec.get() + +sliceSel = 64 +plt.figure() +plt.subplot(131) +plt.imshow(reconLPRec_np[sliceSel, :, :]) +plt.title(&quot;Recon coronal view&quot;) + +plt.subplot(132) +plt.imshow(reconLPRec_np[:, sliceSel, :]) +plt.title(&quot;Axial view&quot;) + +plt.subplot(133) +plt.imshow(reconLPRec_np[:, :, sliceSel]) +plt.title(&quot;Sagittal view&quot;) +plt.show() +</pre></div> +</div> +</div> +<div class="nboutput docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +Perform Reconstruction using Fourier (LPRec) +</pre></div></div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_pipeline1_FBP_6_1.png" src="../_images/examples_pipeline1_FBP_6_1.png" /> +</div> +</div> +</section> +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="left-prev" + href="../bibliography/biblio.html" + title="previous page"> + <i class="fa-solid fa-angle-left"></i> + <div class="prev-next-info"> + <p class="prev-next-subtitle">previous</p> + <p class="prev-next-title">Bibliography</p> + </div> + </a> + <a 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"cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 1 (FBP and Fourier)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### This example shows how to use methods from the HTTomolibgpy library to do the following:\n", + "* normalise the data \n", + "* calculate the centre of rotation using Vo Centering method\n", + "* reconstruct using the FBP and Fourier algorithms" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The shape of the data is (180, 128, 160) as (projections, detector Y, detector X)\n", + "Normalising the data\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "from httomolibgpu.prep.normalize import normalize\n", + "\n", + "# Load the projection data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(path_lib, \"..\", \"tests/test_data/\", \"tomo_standard.npz\")\n", + ")\n", + "datafile = np.load(in_file)\n", + "host_data = datafile[\"data\"]\n", + "host_flats = datafile[\"flats\"]\n", + "host_darks = datafile[\"darks\"]\n", + "\n", + "print(\n", + " \"The shape of the data is {} as (projections, detector Y, detector X)\".format(\n", + " np.shape(host_data)\n", + " )\n", + ")\n", + "\n", + "print(\"Normalising the data\")\n", + "data = cp.asarray(host_data)\n", + "flats = cp.asarray(host_flats)\n", + "darks = cp.asarray(host_darks)\n", + "data_normalised = normalize(data, flats, darks, cutoff=10, minus_log=False)\n", + "\n", + "sliceSel = 64\n", + "data_normalised_np = data_normalised.get()\n", + "\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(data_normalised_np[sliceSel, :, :])\n", + "plt.title(\"Projection view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(data_normalised_np[:, sliceSel, :])\n", + "plt.title(\"Sinogram view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(data_normalised_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finding the Center of Rotation for the reconstruction\n", + "The found Center of Rotation is 79.5\n" + ] + } + ], + "source": [ + "from httomolibgpu.recon.rotation import find_center_vo\n", + "\n", + "print(\"Finding the Center of Rotation for the reconstruction\")\n", + "cor = find_center_vo(data_normalised, ind=64)\n", + "print(\"The found Center of Rotation is {}\".format(cor))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Applying Paganin filter\n" + ] + }, + { + "data": { + "image/png": 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AlBx9SXitOFwAXSJuKUCJ+zSuA4awLeBRSlEUJUUpmB4JjDgVrrEDZQUx4AqH64HtK+reCvRMj74aMaUM4nwTwFIMGkvtNA09ZtSQwilWyYi+1JTi0OIRmnE9NplpZtQQ40qquqJcUaGm++hS0FKiVQ/nDOkiuvZzBIXTQLMUKC8XE4AyiUk8DOKss85i/fr1fPazn6Uo2q/tb/zGb3DWWWd1tn2o0/DOOQaDAVNTUzv6VLYrdtllF3bZZZcdfRo/c1RVxVOe8hQuv/xyfvVXfzU9fvnll/P85z9/yfa9Xm/5hndK/GRqHVjnJ0hj/N90WQunlk5E6f84UYNfcUfGpSzBGA9crGdEXOjiKyKgs/0p6R5HCVjlWRS1zARoTH4i6U8nkib3yIhEUOBU+5yYwBYVLfMCGdNBC0wS86LAIR54SPYakQBmstdGcKRoz2csxIFEkCT+ARcAU7qggbUQG8COFZRYeqpmVi9iAqqxToEYSmnQYjFOMa08S6LDwQ1CbUuUWGpXsGD9PTEIAKdQ1t8DkezJqTJr/f/xuosao9LuOSZlxpOYxMMgNm7cyNq1azvgJMa40Ozwww9PaR6AG264ARHhne98J2effTbr169nxYoVHHLIIXzxi19csr9PfepTHHLIIUxPTzM7O8vRRx/NF77whSXb/fM//zNPetKT6PV6PPrRj+av/uqveMtb3rLshPSHf/iH/PVf/zX77rsvvV6PD33oQwCcccYZHHTQQey8886sXLmSAw44gPPPP5/x4sK9996b4447jksvvZT999+fqakp9t13Xy699FLAp2H23XdfZmZmeOpTn5o6zW4rvvrVryIinH/++Uue+9d//VdEhE996lNp3yLCDTfc0Nluw4YNHHnkkaxcuZLp6WkOO+ww/v3f/z09/81vfhMR4eMf/3h67Mtf/jIissTR9Pjjj+cpT3nKPZ7z/RGnnnoqf/u3f8sHP/hBvv3tb/Pa176Wm266iVe+8pXbvQ8pNFIUPp2TgRGc9T9xtay6DEkM51w3dRMfNxZnrAcnAfAAPl0TQ+sW2GT3Wfw7gZTsNS6wMdiQ+olgxzqfGhHBacFGxsK05yvZuasAToipm5BycUrCb1qsIbTsiG0fc0XYNrJHqn193C6mm9JrIqsUAYB41sSJ/+leRMJ7ylI+4S2sKIes1gus1gsYFKUYeqpGhwNPqyG7lZvoS00lhtpp5m3FnJli4Epq58eeUhoGrsQ6hRLr0z/SArMERvIUn9YenNzHmACUSUziYRCHHHII1157La9+9au59tprqev6Pu/jfe97H5dffjnnnHMO//AP/8D8/DzPec5z2Lx5c9rmIx/5CM9//vNZuXIlH/3oRzn//PO5++67Ofzww7n66qvTdv/2b//GC1/4QtasWcPFF1/MWWedxUc/+tEEPMbjkksu4f3vfz9vetOb+OxnP8vTnvY0wIOnk08+mY997GN88pOf5IUvfCF/9Ed/xJ/92Z8t2cdXv/pV3vCGN/C6172OT37yk6xatYoXvvCFvPnNb+Zv//Zvefvb384//MM/sHnzZo477jgWFxe3eS1+6Zd+if33358LLrhgyXMXXnghj3jEI3jOc56zzdf//d//PccccwwrV67kQx/6EB/72MfYeeededaznpVAyi/+4i+ybt06NmzYkF63YcMGpqam+Na3vsXNN98MQNM0XHnllQ9Ka/sXv/jFnHPOObz1rW/lyU9+Mv/xH//BZz7zGR71qEdt/05cCxxE6w5QcElbIu1zgWnpsBfgV9d1gxuNPDAhaFj0GACyGcAJ4KVNC0nYTnVAz3LgBfDbiCT2pGUz2oncaUmgpaMBAVypcCKokW3TQil7MQYq/METuHAiSUvSXjASYxOPZ7VCjENq22pgAGlafYs4UCYwKU78uUdmBRDrD2J1YJe0o6cMpRgGtqQvI3YrNrFGb6WUBotiwfa4tV7NjaNduGG0lvnAlMyoIbNqwGo9zxq9lWk1pC81q/S8PwYSjh0+Y2txTeN/xvVNSpAyA5z3EhMflElM4mEQGzdu5AUveEECCWVZ8su//Ms873nP4w//8A9ZsWJF2nZcJHvDDTewfv169ttvP77yla+gwwryuuuu46lPfSof/ehH+Y3f+A2stTzykY9kzZo1/Pd//3diZrZu3cpjHvMYfuEXfoH//M//BOCpT30qt956K9/73veoqiptt/fee7Nx48bOqllEWLVqFT/84Q/ZaaedtvkerbVYaznzzDP5q7/6K+644440uO29997cfvvtfPe732WPPfYAPGB58pOfzLp16/je977H9PQ04JmdF7zgBXzqU5/iec973jaP9973vpdXv/rVfOc732GfffYB4O6772bdunX84R/+Ie985zuBpSLZhYUFHvnIR3LYYYclliWe/wEHHECv1+Paa68F4GUvexnXXHMN3//+9wE4+uijWb9+PZ/4xCc455xz+K3f+i2uueYaDjvsMC677DKOPvrobZ7vjo4tW7awatUqjph5CYVUASzYJEoVrdPE70ZjADqAFiCBkSRmhTaVYx2iBES1wCOJcF27rcoYE2hFsuPphHDc+FrV6yGzKzDrdsbMlEs1JM6hRjGN07IaURvilHRTNEEUK9aLa23hdSj5fjtaFAhgxYMJca7VtQC2VKiR8fvQyp+Do7Mv01PM7VUmkWxkUVzQvogVXOH3KQ5MD8yuI5762B/ylFU3Mq1GzKpFtDjmbQ/rhL6q6UvNvO1xl5lhWnmx7IwasrPeSiWGkfOf1c31TqzWCwDc2qziX255Ej++dg/2umxA+c2bcFvncc7h6saD1OxzdM7RmBFX1B9n8+bNrFy58h7vuQmDMolJPAxizZo1XHXVVVx33XW84x3v4PnPfz7/+7//yxve8Ab2228/7rzzznvdx3Of+9wETgCe9KQnAXDjjTcC8J3vfIebb76Zl73sZZ200YoVK/i1X/s1vvjFL7KwsMD8/DzXX389L3jBCxI4idttCxAcccQRy4KTz33ucxx11FGsWrUKrTVlWfKmN72JjRs3cvvtt3e2ffKTn5zACXiDMfCALIKT/PH4vrYVv/mbv0mv1+PCCy9Mj330ox9lOBxy0kknbfN111xzDXfddRcvf/nLaZom/Vhrefazn811113H/LxfXR555JH84Ac/4Ic//CGDwYCrr76aZz/72Tzzmc/k8ssvBzyr0uv1+JVf+ZV7PN+HSrhRtjrWKrAd4b4yBsLjKJ9uEa0SSHDGto/1ekhVhZ8S6fXQK2b842XRsh1lGSY45ye8skiMTFqp1w0QGJWiCPsu/Xkp5V9XFC3IkUxbYoEsrWNLha0UVitsqVJVj5iWzcD5lI8HEoLpaUypQvpFUvoIAggJP8pYxDhU49LrIbA2hQc1rlSYfpHACXjwZEoVABKoEUjUoUoUCwOKxKagwJZgK4cUFusE6xRr9FYsinnboy8jVusFptWQaTXk8b2beWzvNmZUW15euyKBk0oMuxRzKLEMXEkphplyhI3iYq2hLBERVFUiVRnSO+I/BxFfdbWdMRHJTmISD6M48MADOfDAAwGo65rXve51vPvd7+ass85aIpYdjzVr1nT+jwLImArZuHEjwLLVKrvvvjvWWu6++24/0Ti3bOXHco9ta59f+tKXOOaYYzj88MP5m7/5G/bcc0+qquKSSy7hz//8z5ekaHbeeefO/xEcbevxwWCw7Lnk+zv++OP58Ic/zJ/92Z+htebCCy/kqU996j12vb3tttsAOOGEE7a5zV133cXMzExK22zYsIH169dT1zVHHHEEt912W0pjbdiwgcMOO+xhIxoWLV3AQdRlRlFrLpIMwlnw5cEZoMWYJWkfl4tjI+uSbePqptW2LMO2OGPSazyACpOjMWmCRHkggQNbeNGthBSFE8GVbRVNTPFIE96nC9U0NlYPBQYjpKLi8yllFFI6kTFJ2hUlOFoAkvQlWlC1bXUokrEs4kGM6alOeTGESh4XtCmxmicwKGL8/meKEav0Akosq9WCT/Uoz3QNbMmcm8Ki2GSmmTNTTKshCsu8rdBSJu2JxnlxLbDV9Nky7KPqWOHkElMiemkqxxm7VDdzDzEBKJOYxMM0yrLkzW9+M+9+97v5xje+8TPvLwKYW265ZclzN998M0opdtppp5RXjhN1HssZfsHyJYUXXXQRZVly6aWX0u/30+OXXHLJT/kO7nucdNJJfPzjH+fyyy9nr7324rrrruvYwC8Xa9euBXyK6OCDD152mwjU9txzT/bZZx82bNjA3nvvzYEHHsjq1as58sgjedWrXsW1117LF7/4xWX9Rh7q4Sd/mwCrSOu/kYBBBlbccuLJ+FwAJclHRUlnHy5oT0SFsmbtWZgEZsJ+I3Bq00nxmC6BKGkaDyTyyhstqazXCdhKJdASzwfrWmFqADXx3SU2xjgPbsJ2iX1x4AjeKUraSTq8P3HhHI1rK3kknBeSANtyk7sLoAc8CHIRF2SPOwfGCSowLVFfYpzCIKkiZ+Q0falZXS2gsGixlBgqMRiEjWZF8E+xDEwoU9YGV7TXU7Ruhc7pbYbnygJxSz//bcUEoExiEg+DuOWWW5ZlIb797W8DnuH4WeNxj3sce+yxBx/5yEc47bTT0qAyPz/PP/7jP6bKHvBMziWXXMI73/nOjgYlVtVsT4gIRVF00k6Li4v83d/93c/8XrY3jjnmGPbYYw8uuOAC9tprL/r9Pi95yUvu8TWHHXYYq1ev5lvf+hZ/+Id/eK/HOOqoo/jYxz7GIx/5SJ773OcCsM8++7DXXnvxpje9ibquHxSB7P0WSvkJNGo+oKPzSGB0jB1ZTi8SGQ2xvlR1vES18/qYQsgrgOrGa1eMF9hGRieWO+fn5ZwHKYlBCQAgsiAJZBD+jl4kERSMoYPIwnRYFAJoycAaEchkx8rBA0jAcS2joiLI0eExLUmQYYu2YsiLZQObFf1QdGBN6IIXLY5KGjQOLTUDVzIfqJi+1CixaBxrii0praNxWBQDp1BY+lIzwAOT3crN3uhNbCuSdTYBk/FrH9k1NwEok5jE/6141rOexZ577snznvc8Hv/4x2Ot5b//+79517vexYoVK3jNa17zMx9DKcVZZ53Fb/7mb3Lcccdx8sknMxwO+cu//Es2bdrEO97xjrTtW9/6Vp773OfyrGc9i9e85jUYY/jLv/xLVqxYwV133bVdx3vuc5/L2WefzYknnsjv//7vs3HjRt75zncu773xAIXWmt/6rd/i7LPPZuXKlbzwhS9k1apV9/iaFStW8N73vpeXv/zl3HXXXZxwwgk84hGP4I477uCrX/0qd9xxR4eFOfLIIzn33HO58847OeecczqPX3DBBey0004PSonx/RbW+rn0Xuorxp+XrHpm2/vOWBToMiSxTDUDRsseL02ArXdKAgvWeoBSaq8vyWw5cjDiWQgJ6ZjucVTjusLXLB3TlgKH/2OFTmR0EgBqK27i34l9MsHKRTJwREhHhXOLIMVpn9Lxv2kxTifl01524xRaLCqociPYUGKpAqrROOadpnYFOnifGKfoq1HaxqJYrRaYVz0KFRW+BKrGbNOd2DMrzdLHtxETkewkJvEwiDe+8Y3stNNOvPvd7+b444/n2GOP5T3veQ9HHXUUX/rSl9hvv/3ul+OceOKJXHLJJWzcuJEXv/jFnHTSSaxcuZIrrriiI+J89rOfzT/+4z+m7U499VR+9Vd/lec///msXr16u451xBFH8MEPfpCvf/3rPO95z+P000/nhBNOWNLM7oGOk046ieFwyB133HGP4tg8XvrSl3LFFVewdetWTj75ZI466ihe85rX8F//9V8ceeSRnW2POOIIlFLMzMxwyCGHpMcja/LMZz7zXpumPZTCGbest4lE19bcVG1smyX7ih4l4xHKhpdMcrFyKLIziVWRLpARL6pdwuo4B4XG9DW2FP9ThZ9SsEX2U0kAAuFHh8dL8SkNHcBC2I+J+yilAxhs4be3pWB6Y8eI+9e0+pSCoDNp95f2GcGJBluB6TlMH0wFtsiP6ffjSocrnHetBWqnMU5h8YBjRg2ZUUOfwgkIaYvtYwM0MIE5KcWDipj2UVjmXcXAluFziABPEqhM4DJPk2ntmbDtjEmZ8SQmMYn7Jeq6TpU2l1122Y4+nUncz5HKjPu/7suMQ+SOr51y4wgm4nbGoKqy1as0YSUdmRGVAZzM6wTwE17UoFRVYkL8c3aJsHYcmCQA1e/BI9ay+OidMb0IPlr2ouMaGxkIiSXBQUgbq3Sy8KkU6XijRIYEARuymFE461M3bUVROMmgIRFU4/xronYj6F8QwZQwWKNY3MVhpoLPiQNye/uClC6yPUu1ZsDT9/4+v7zyh6zRW5PmZFYtMqOGaBwjp6nxaZ2kUUGSoyz4suN52/NAB8VdzQo+e8cT+M4X9+ZRnx1SfevHuK3zpP47Y2yKM5bG1dtdZjxJ8UxiEpP4qeJ3fud3OProo1m3bh233norf/3Xf823v/1t/uqv/mpHn9okHsBwQfCZ9CPgxbJR95C7wEIreFWCM7Y1Y2MshWMMLrNCz31VcM6XF8f/yxLquvt6ZwGdlTJHjxWbzhXrkOEIVVua6QJT5hU8JOGrLbwRWjBJbatkstSNP8kWaOQ6FF9+TBK7Rk1KepnxwlhbCFYHLUnjT8CpwJJIWz0cBag5Q+LPQ0A5rI7IB8RISu/4HYPWlpliSCUN87ZiRo2oQxqndgaDZcH1mLc9VgcDtoErGdgSg6KShlk1YIv1YvZpNUwgZ76u0ENvXkcAnd4DRbX6ogjGlCAIbKfP5ASgTGISk/ipYm5ujtNOO4077riDsiw54IAD+MxnPvPwEnxO4qcL6zo9cZyxSFm0lRu5kVr0IgEcgRlpmuQ2iyZ0H7YtqwItS5KneUK5cGRnkiCzLBBd+f8jE5OnjvIUWsZKqOxw/vz8yl+PxvQzkCp/khW+I5mjKQNSW2+XLy2gyJkWsQFPGJcYFm0chXNt1Y7yx3ZBrpPvJ7I9VocUUybC9ULacD6x1Fg7KBxSWnplQ2M1A1uyc7GVTWY6ma1tsX0GtmTB9rzTrFTUTjOjhqzRW5NepUYzb3vsVdzlwYmFnqq9D0oVukDngM34jsbxc3bG4OoG67ZfgzIBKJOYxCR+qvjYxz62o09hEjsgREDynlDWJnaj06E4NvELfieJ6tea2K04pWfCiltEEgPinEPy/jl17YFQ8DtBCaKKtmmhDRNffG2W6mndZb0ZmmosqlYdYBALafJmfC4r7Y0Ga0DLbkShq9CWFFu/bS5w7QIVF8BNADMhNZSs8MN5+NSSa1NFzqEiM2KDrmXapp476b2UGTAzPo3lS4wts3qQgMeMjOhLg0GSnqRGd4S0BqEUSymGPjUaxybrK/m0WGbUkL6ugzZGJVM2qcrudacFq2Kb1qH3XuLho8yaxCQeQnHuueeyfv16+v0+T3nKU7jqqqt29ClNYhIPTkT7+awqx0VX11w3koshg5ur39i1+8mEsM4EsJL18knMR9g/hPRBAEOpOaDyk6KUHjh1wAlkQs2oW+lWyYhxKOMZlRxcJNfXxgMFDxhcYkNiJFO2KCtxrt3WdP+OfX78mwm/ovYlqxpKvXayY6g438dmgTowJSr8pJxQ2J92qMJSakNPNb5M2FbM2SkPSlzhf2zJguulhoB9qbEojFMhDaSpnaYMgAa8w+zAlliX+bPkDr+jOmtPkKV5ljFw21ZMAMokJnEf4+KLL+aUU07h9NNP5ytf+QpPe9rTOPbYY7npppt29KlNYhIPXjjXgg26gtTxx9qX+B4tLjaVS46vKvxkzQfj89HKPlbrQEd826kUGQc28TmVNS9c0igwAwxZqXAUyiZGJW6bl/9GnBFf7rLtlHTLjU227/yaBLak4yorXQCUb5teozNAEl+XAROKFmgpgTKYrfXVyAMNp9hi+170GpgT4xSVGPpSM6sWU1lxrPCJ23hmpfFMS7hIuQbHn6TtVlLFNgX3ISYAZRKTuI9x9tln8zu/8zv87u/+Lvvuuy/nnHMOj3zkI+/VgXQSk/i/EuPlwUkwGyd/6drhuzqAjFjtY4NNfg4u/AsTuEgC2PE0QQQpwcEWFxoWjgGmPBIwUX7/LisftgWYvMRYSxcIBFYjClTJwYjL/u4cMIII2nLi0K8mVgbFfeWvjc9Z3VYX5d4pybgNX62Dzn6Ug8Km/0Xb8OMoAoOicZR4AKID6qrE+HRPAC4KiwrPldKkEuNYnhxfp3HB4G0MkEYgmAHKnzYmGpRJTOI+xGg04stf/vISr45jjjmGa665Zsn2w+GQ4bBtvGWt5a677mLNmjXLGxlNYhLbEc455ubm2H333R98D5VMa5JASnYOHZt7Y4hdioGuB0ZuNR97+mT0fzJYswGw1A2UvjGhw7RgJ+3DLCkxTuXDznktjNY4rTCV8r4lRcuGxMqZqD3xVTxeNBtBgkq2sN1IgMN1/88dam0h3TJlOwZOApjpVP5IOAfXAiUIYKVwSBGASbxmKmxr/IaqtPR6NSuqEdPae55YFBUe9M2oAWVgSUrne+34tI5m4Er6UlOKSWXICsu0qpNeJb8AYkk9eByBoQqpHe9dE4Fk12H4nmICUCYxifsQd955J8aYJU3xdt1112X70Jx55pkPyz4rk3h4xI9+9CP23HPPB//AUaga2Y3ofxLTK7F3jghUVdpuiUdJtL1PFSmOJU6xmQmbG42gqtrqn3xb63DOtD4qotqKnuycVWO82DVM+CmF43xlUvQsMQrESUr14AKzoeP2dNJB8XFfqdMCiiVMS6zICWXIqaPxGNvQEclmgMVUgu2RWBNR8XqCiMNF4xYHSllUeN46xShU54ycphLjS4ld6Z1k8UzKgBKDMKsG1E5jnWJWDSjFUof0jlaWTXaaLXaKrXUPVYOqfZlx574YD1G4rHP0vcUEoExiEj9FLJdbX44RecMb3sCpp56a/t+8eTN77bUXz5j1ZlcurjLbHfsVSGxZTxAFVpUfgaxJreWBdlKAUJKpwJq08gNww2EYfHVLkce8/OpVbNlvV7bsrTFVO1iL8S3dp+6yVJsNqrbYUrG4tmDLL4B51CKP3vVOnrrzjezbv5mtrsfn7tqX6/77F1j1HUU155B4mhqGK4XFtaFqQbeTg1O+HbydMah+g0Nwxp+3rgzOCna+RG/VySwrriYB9KLQvwt/vNiNVsFoVph7jOEXnvATjnrE//CIYgs/qXfivzbvxTdv3Q33vRWs/o6jd1ew7u4JTV8xv5vC9DJxooAewOyPDbPfvBPu3gzO4WKn5VCRIkXRfg6ZyZjo8JmEtIb/nAQ3qtt0RljZp0Z3WoHSbboiVKz4E/WPNcpw5aaPMjs7u8179IEKN2qgyADJ+H1ftyYXsRInVedo8dcqM1mLXhlA66ESuwMHzxTCdUnVOeNeKxBeEyqBxoWYUdhbliBtKseWkqzm9SiAi3Df2gQgCPetf04aMCWJacn9SiKgsJENCY9FwWtkaVxn3+0+WgYn7FOkbf4XAFGqHrKCiENriyjvFuurqwXTaES5BE5UQEh9qdlFz7NgPSjx4GPEtBgGTvGDZmc0jmk19IBFjeiLQeHQ4iix3GX7zEhNX/uePSvK4ZJ2AAmoWt+ZOYJJANWbgrl7uclCTADKJCZxH2Lt2rVorZewJbfffvsSVgWg1+st21tGG4UWFQZrWsvuEG5UQ23CAF6CiduW0KMjQBMbQUd4sZSABeMCpS2h6iJMhrUfqEUUTM+ipvoUpUYq0qApForGUSqH7luk8iWOlWhKFG4KqhUVW6qd2dQPpk+9FaiZPqzQYB2qdmlQLjSUSpLzpVPt4lMpaHoGmWro9WsesWorg6ZgbqFPPSqgKdFD3S1QCMZZ5VCYGjq0cy1FLtDMCDLbUMz0sFMzLBbCRnbB9aehN0UhU+jSUlSGaMClRGisog7mWdGoS1XACoteuQqZr2FxgKtmWp+OukZ0rwUior1HiHW44QhKRdvpzfq/i7bahNhjxVhcPUKsIL3S78MYKKqUynDEyX7Yvv5BDtEBbETPkszavlPeG4FGep3qAhNIjEkCEOA9TYqi1blEVqVpcNb5ap1Of52Y6mlFmAnwONdxrJUSDyC1LNF3mDKKS9rH83vOKVDZjBlBhWSAOXYcdir4nYT9mbI9X2XaKiCnwYbSZxcAiFOSqoZskQOdseNa8WwJnjmxRmFDx2JdeOBdVQ2z/SE79RdYpReoxDBnKwwK7cT32bHCHA6D8MhiE3O2oi8N09IuhLQ4jBP6YtldL1AjbLJV0Kt4O33TU1RliRsM0zXvsGTG4poaV29/s8CfC5HshRde2ClLK4qCPffck5NOOomf/OQn9+ux9t57b17xilfcr/vM49xzz+XCCy9c8vgNN9yAiCz73EMlXvGKV7D33nvv6NP4maKqKp7ylKdw+eWXdx6//PLLOfTQQ7d/Rx3mww/4bjAMACIOqN6aW3q9ZA3uRqNuH5Lc3CqVcQZRYtg+X7FKr+f3KYJMTWFWTdFMKazOxIChj4iqQQ8tamQT2FC1Qw/8fGCsYmgLbhmtYsFWKLG4KUMzA7YkNUhTjUMPoVj0g2qyDR8rQlDaMdWrWTu1lT1nNzHVG6G0gdLhSpdy/BIqIvQQigWynL1frZoK6hmgslTaUKqGm4ZrmG96WARTa4rFsFIWLzyMHWBV0042NvQ+ITh72r6fnWIFCpA+CzeqPVNlXfocXGStgr9H3gRPoldEVtXgH6vaFMWobkWi1kFRIL32+R0VzgT2rfBAwpuiOewoMCexpDi3rlcqVeO4UY1dHOCGw+Bnorqvi/d0XbevCRoVFf018iqdaLEfmBUbJkjXNOnzkKJor3+uc7Ftuib1z4EEEKC9HyJg7XiVZDb5KZUT7sVuz532eFYHIa6SJIaNz8WUjy1Cb5+8HNnhy5QVmMrBTEPZa1A6CFqrhqryIL+qGvq9GgEGdcHWuseC7TFymlJMSOfU7F7MsbteYFe9yC56kUGga+Zsn0osfbFUYilxzCjLZlvyg2ZVACuGSgxFuFBi8dfcmCXVWOCBp+oFIL+d8XPFoFxwwQU8/vGPZ3Fxkf/4j//gzDPP5Morr+TrX/86MzMz98sx/umf/ule+wv8LHHuueeydu3aJSBo3bp1fOELX+Axj3nMA3bsnzX+3//7f/dL190dHaeeeiove9nLOPDAAznkkEM477zzuOmmm3jlK195n/aTVpp1BBxtgzMpirAaV+RCwI4jpnVL/x8PFdMLYSWaD9K9CtMvMCUtjRw0espAMfAsCJCqD2IKyDlPLzdOsbGeQYljoakQ5TC9bH+QWJlyzmF6QhO+ar4skVSNUFYNa1fMs6oaYJywamrAYFRSiwMbWIbMI0IPhHLedfqfoHyO3vS9g+ZiU3L7aCVDWzDX9JivK2yjENNS5b6RmhcuqppOZ1lfUeFXsqZfUPR7MBwmy/ZU7hpEoc45xEXBpyL/RJIQNE7a1q/uW42EB28pBWcMLh/oTQaKHgIC65TWDMBCjEplxJEFyX1M8pCyaFfXUVAbOw2HtGfbfFBazctyId3vgGRAHTKWScX0TwDrFsQ5bDJMI4HgpAfJwQgRVI+ZqkHbsyfeV+kJElUYU0np/pKWDbGFQNGeQ9K4hH2EW9QDl74EwN6mdWJoHRiN7PDWemZlhR6Eip2GeQrKACwGTmHDSepQD21QbLIVGocKqR2NoxcqfjbbXvJD8QeSVLbtP4eWFWt7NbkWUG5n/FwBlCc+8YkceOCBADzzmc/EGMOf/dmfcckll/Cbv/mby75mYWGB6enp7T7G/vvvf7+c632NXq/HwQcfvEOOvb3xUAZP9yVe/OIXs3HjRt761rdyyy238MQnPpHPfOYzPOpRj7pvO4qdPetmqfNlDk5yF8rkxBlsvp2nvD2wadqBwW+cxIrxeFG/IlrjCt0V5mUDph6BzvtluJbHdgpcraitZmgKhqZgru5TW40qre+wWgmFdmng8+6dgh6CmRJvxR3HeAHEMd0fsufMJmb0CIBdprayddhjULQpMhdSL2oklFv9eUJO1Qs2dHYV5dg6qrhxYWeq4HBVG+1dODVL3T0F9MihagkMUKY/UL7DrOtVPlUgLv1Oe0krxgDqYuv5ukaqyn++0KY9xidcUUCmrRBpgWqmy0BrpIMAH+TIhafQKTdOjJIxrdts8DMhiFY7ESawFqw3SwzeAGLlUNL2ZOfin14GsGXgLmphknA3sR/Sue/zfjnpQHHX8QnbVvukzWymG4nbRr1IAM4pDZS9NmddOo0Jc/Ym+55E4Ww8F6W8BsVfCodWliL8Xzca64SyMEwXo9RPZ1oMpXjAYRC0tPubVTUljoGrGTrNCIV2Xn/iy4otKJ9eXHAFRg3pqSbLhaUTa69Nlo6TskBMA9vpdv9zkeLZVsQJ/cYbbwR8CmLFihV8/etf55hjjmF2dja1Tr/rrrt41atexR577EFVVTz60Y/m9NNP75SQwvIpni1btnDaaaexfv16qqpijz324JRTTmF+fr6znbWW9773vTz5yU9mamqK1atXc/DBB/OpT30q7fub3/wmV155ZVpdxJTJtlI8V199NUceeSSzs7NMT09z6KGH8ulPf7qzTUyBXXHFFfzBH/wBa9euZc2aNbzwhS/k5ptvvsdreM455yAifO9731vy3Ote9zqqquLOO+9M13c8xeOc49xzz03veaedduKEE07gBz/4Qdrmfe97H0opbr/99vTYu971LkSE/+//+/8612+nnXbij//4j+/xnO+PeNWrXsUNN9zAcDjky1/+Mk9/+tPv8z4SBV0WbQO1PBXgbHLX7NiER+ElLF1Jjw0QnlIfdY9pDFQlbrqH6SlQ7eDs9wnSuDRpE0ynfFfWQFfXirvmp7lrOM3AFGwaTbFl0Ecpi5lyNNO+BXyiu0OPEj1w6KAvjekTp0D1DSv77XdJiWWmGLGyP0B0OwGqxjMnPmXkKAaOYuhFiAg0fWimwEw5RDtGjaaxilIZGquYH5VQ+zdqtfgRMOkMxO9/6B1FVVwNC95WvFS4fglRHxFTC0Xh02a5hiiKnyMrMBqlEkzKyn+GMUUXQKQLFRBuNPITaQCiaX91Q/T82Cab8CBE0pLEe8zY9OM3SLW9LXMHCdgkZgRaS/x4f4+zHv6fdh8QvFOWerB4Jqc7MebH6JwTbUpnvEQ4pR4z0LAEXEj7eA5Wcr8UN/Yzvk//gux3lvbM99vxYaEFL1EEqwKTosRRaO8a2y8aemVDVRgqbehr729SikWLZ0oU0BfHtDhWK8uMsvTFsbPWrNGOWVXTD2AmAhoLzCjLrLLMqhpNNGrLPpv4mUH2uWRdru9DWfzPNUCJk+ouu+ySHhuNRhx//PEcccQR/PM//zNnnHEGg8GAZz7zmXz4wx/m1FNP5dOf/jQvfelLOeuss3jhC194j8dYWFjgGc94Bh/60Id49atfzb/+67/yute9jgsvvJDjjz++U073ile8gte85jX88i//MhdffDEXXXQRxx9/PDfccAPg00ePfvSj2X///fnCF77AF77wBf7pn/5pm8e+8sorOeKII9i8eTPnn38+H/2oV/0/73nP4+KLL16y/e/+7u9SliUf+chHOOuss/j85z/PS1/60nt8fy996UupqmoJMDLG8Pd///c873nPY+3atdt8/cknn8wpp5zCUUcdxSWXXMK5557LN7/5TQ499FBuu+02AI466iicc/z7v/97et2GDRuYmprqaEGuv/56Nm3a9PBpVhcno1HtfxYXWztv4xmUmDtPeoV89Z035VIZsKnrtjqiKpFeryNkjJMqSmF7AXCENIxPnXi9iKrDysq5rmGlBWmEYV1450ntJ8tRo2lqDdpho1Sg9vbeunbokc/r6yGIkXalKD5/PlsNmdEj1lRbWVPOM6Vrdp2aY+XKRWzf+oVmoL6LBb8fq6HpC6YidYE1Uw5XWcxQM7d1itsWZrltcZa7h9PMzfeRUVy+hl/hveuRRTXOv/chScho8/RX5XUgUXdBrDLJ2JhUiaO1Z06q0lePRLp7OGwFplEbFFIeUlVIv+fTRU1rbpYm26jHeLC9T/LItAV5l1rAv+eY3slARtQkuBxAp4krey8R3GQAKB4rj04Zcnw+Zw/HmRrVppPEdPfVHjvuPPzKWY7wfA5WciBjC6+7Mr3wt25BRQ6EbNG+fokBXDh2eo0e208EPiowhKEHT8wiWedFszb8TJU1vaKhUP79anFYJ9QOBk5TI5TArNJMK820xDSPMC2aaYFZaZiRhjIAmpFTKLweX+OoXcHQalKnZz12X8bPJfzt7+mJD8qyYYyhaRoGgwFXXnklb3vb25idneX4449P29R1zZve9CZOOumk9NgHPvABvva1r/Gxj32MF73oRQAcffTRrFixgte97nVcfvnlHH300cse8z3veQ9f+9rXuPbaa1N66cgjj2SPPfbghBNO4N/+7d849thjueqqq/i7v/s7Tj/9dN72trel1z/72c9Of++///5MTU2xcuXK7UrnvP71r2ennXbi85//PCtWrADguOOO48lPfjKnnXYav/7rv95ZqTz72c/mPe95T/r/rrvu4k/+5E+49dZb2W233ZY9xtq1aznuuOP40Ic+xFvf+tZkGnXZZZdx8803d67jeHzxi1/kb/7mb3jXu97VKcV92tOexj777MPZZ5/NX/zFX/C4xz2OPffckw0bNvCSl7yE0WjEVVddxatf/Wr+4i/+gptuuom99tqLDRs2UJblT8VmPNjhRrUvaez1/OBZlW2H1lHtWY9emKgCXZ5soqNDo7V+Misrr4vIPCQkrkjLIqUHkgaiLKAscaUOplHdnLeqQddef6JGvrzY08pZyaOFplFsHVVMFbVP94wKXK18qWPp9SZ20e8rrvrKBX8Q0xeaOLD3LFO9mpXlgJ6qubueZkrXzOghQ13QKxvclIFFBXUATyPXDuz5qrPwA7vUgkNDv8E6oa9r7lyYoRkWSCOpasOnuFxo2EbocOuH/AhMYv8Tp8EVCopWBCujOk2GueDTDYbhNRoMqQtv+kwggJqYqw8sAkBZ+SqWxUGYqMVX/cTusFohur/dpZr3e8TKIq0RY3wH4JjCgeX1B4S0T2zKB12NCi3QTo6zWfqmY58fy++D8ZdPf4R0aPQ+qapWnJk1JqQskwZl3HCt6fv7SLnAno0BCBs1JCH1abMsW85uJI1JriGhBSoxLWkDg4gDYhly2b4mTwul/QrJ6M1aQSlLr2gnfK0szglOHCOj0eLo6YaZYkhfalYpf/Krwk1tAOscPSmosfRFMDhWSI9aLHOurd7pC8wqR+2gEmHgSCmidJ2iIDr7XuRzjGeIBfL08T3EzxWDcvDBB1OWJbOzsxx33HHstttu/Ou//uuS8tBf+7Vf6/z/uc99jpmZGU444YTO4zGVk6/sx+PSSy/liU98Ik9+8pNpmib9POtZz0JE+PznPw/Av/7rvwJ0UhY/S8zPz3PttddywgknJHACoLXmZS97GT/+8Y/5zne+03lNDtQAnvSkJwFtCmxbcdJJJ/HjH/+YDRs2pMcuuOACdtttN4499thtvu7SSy9FRHjpS1/auTa77bYbv/RLv5SuDXhQF/d/zTXXsLCwwKmnnsratWsTi7JhwwYOOeSQ+03w/ECGFBo11W91BeEnMhxqxYwHH5Eadc5XPhjbahdiSd/CQhLWJq1D1sMkChc7gKYsMP3CC0B1y0AkbwbAacFWKlS5CKav2nJJJzSjglGj2TSYYm7YY7RQIQONWvBpI9Mn+T34ygN/rFiB4wSaFRY1W7N2xTzr+ptZWQxYU86ztpyjpxosfiWoegZb+JJqVUO50DI8ceCuVwjNNF74agSUN63qacPAlCwMK9xI+xRR1K6E0mTf3A0vcjQ+fRT9MNoVbwA0qk3HpaZoo5rUWl7EMybgGTHnkKmpjHkIE/Zo5EuUc1YraE7c4qDLkI3qtlqrKKBp03YPeuS+O7FKqQjsXn7fRSt76KakQgWbTwsFA7eMSZGxyqZxC/1UAacEZ50vPdbKV6iFiqnEMEbQbmwrSC4LbOk9UEwVWI+yBaI2POYKOukcX8XWshoIfgaN4CRLzXgwm+2DdhtTBSASwUlMIQZwDRnrojM2JX++8NoTHXQnWllEHJU27Dy1QKmsZ0uCC++UrplRQ8+aCNxl22u8yVpuMSM2W8e8ddzYCDc1C9wVAF4/pIVqYME5ShFGzlHimFUDKtWERoaurWLLxjXXNL6yKqUCx5DhPcTPFYPy4Q9/mH333ZeiKNh1111Zt27dkm2mp6eXVOFs3LiR3XbbbYkQ6xGPeARFUbBx48ZtHvO2227je9/7HmVZLvt81GfccccdaK23yVTc17j77rtxzi37HnfffXeAJee9Zs2azv/Rv2MxmlJtI4499ljWrVvHBRdcwDHHHMPdd9/Npz71KV7zmteg76Fz5W233YZzbln/EIBHP/rR6e+jjjqKD33oQ3z3u99lw4YN7L///jziEY/giCOOYMOGDZx44olcc801nH766fd4rg+VkDBAJ+8IZ9OXuk3V+Bb0ztrWFMtaXMzrhzLkNr8eyjO17irqoSta6/ews1OpH4mvXvHsiB5FFsHrUGLpbuohEsyq9FBoRor5xR7WerFob2bEYKhQjUIN/fa2BGOkZTqsF9/aQThm5ej3a2bLAQALtqKvampb0Fc1s8WA2WrI1MyI+a0l6i6FioZaIT3kS0SD6ZbgxbgDsDNQ9WqGRrNlMMtgsUor0zhJ2ELQQ5d6sqSSY+eBCoX/OzqIAn4FrgTXeFDoRqOUToufhRcGBgOyvBQ8hjFIWeBidUp8vmlCSi94nwRmJWlStPZMyn0o1bzfw7nOpAt09SehBDkPcYWv7skqn3JflCRezczsOmWqSnkxuQLC6jxnCF1kl6IhXNPQqYDTGtGVP+6wTuxGMj2LqZuYtqFlRdo3SSo9T9tG3BXSMakDcdYYMG4fBbFiA9AY16HE7ci2cZ4xcRmz0kyB7Tmm+jXTvVHaTRFAytZRj0FTUGqTAAz4vjqz4phVBTqoVOecYJwkMXs/VPksOM2sMkzj0NEuAChFUTvPtFgcffE9fmKfoQhSvYNwkUC2ZKyaqGK7GZSfK4Cy7777pjTLtmI5NfiaNWu49tprl7iF3n777TRNc48ai7Vr1zI1NcUHP/jBbT4PXgdjjOHWW29dFlTc19hpp51QSnHLLbcseS4KX+/pvO9LRFbmPe95D5s2beIjH/kIw+HwHtM78fgiwlVXXbWsmVn+WBQrb9iwoZNSO/LII3njG9/If/zHfzAcDh8++pPcWI1sgAcYNa0XRlYNEVePOd0dQQ5a+4ky3p8BzKR+KPH/CH4yE6m4EnTKD7LVEJ9a0tIKZeO28U8LNAprvbnZTG9EYxsGlU2eIuD1IaqOaRM/0XuPCUkMRa/0efJ502O28EDl5uFqeqpmStf0dU0ZdC7Ri6WTt5f23FvbcpBaUdeahWGFVtYLeBtBGr8STn1ScEjj0MaFRnGKpufPL5aN6joT/8XVfJxsk2tmm5bw7EE7KEfBrB0OPcsVhbaxZDi6nMbPNIKh5HmTzZZKiGXXOyK8PqoVATvn0sTknYyzey6ed123zEhkhkJlTSr/jb1awIOJfCxWymPRUMIcGUK/cQAiVuGIjrPxtZn2Cvz3pCw8oA2sBZBE4FjPBKQKHwigxaUyYb99ABFjM6hTYHstm+IPTkgh+u9SbPiX38OevfNA2YQKs9QJOdOsxL/VUDCh347DexI5oF80DKx//7XRSPjelKFD8ZwTNjWWSrwOReGo8WXIpVhvcS+OaTHUwKbAwOggpu2LUAO186meOVsx1/SRWtqquFTm7TrOwBL78gy3n/37uUrx/LRx5JFHsnXrVi655JLO4x/+8IfT89uK4447ju9///usWbOGAw88cMlPrGqJqZB764jb6/XuldEAmJmZ4aCDDuKTn/xkZ3trLX//93/PnnvuyT777HOv+9neOOmkkxgMBnz0ox/lwgsv5JBDDuHxj3/8Pb7muOOOwznHT37yk2WvzX777Ze2XbduHU94whP4x3/8R7785S8ngHL00Udzxx13cPbZZ7Ny5Up++Zd/+X57Tw9kuMEwVXCMd4AlVPJ4gWxr5gZ0rPFFpHVtdNavuqN1el23k2MeoQrI9QtMpZbqT+KYHwblGLYUmr7/SaLaWmiGBdYKi6OS0aiAkcJph63CCyXQ5eH8k7umCytE5SsPCrHMFr5xmXGKKT1CiaOxir6u6ZUNlNYfW1pWQ7K3F1M0/kDgxGGNpm60F/Qa5Y3iAqNjehIEtoILhlrxnGNVUzMdUlVhxWx6GjdVIdPT5ILOXMQKmb4ighStvXtvr+eZFmg/m6hdsbZNUURWIH7WvarVKQ2G3hRuR4WNE09bcZMEvlHInTvGZjb23ZSObrdRyr82YwqJPV2yypu4n5TqyVmSsIJfIqCFxEKRnTeEtJ2WTkrFdx7OugnrlqEzVWDqtP87/m8LwVbidVdl+9uFfaECOyeZ1X3Gwohp2zREN9m4aEhAB4geKU7AOf+9q42/jrXRGKtQ4rAOGqMwTqitZtFUzNkpaqfoi6UnMC0maEt8pY7C+aoepb1syoFFqPH70UDtLHPWcZfVzNnS79Pqtlw6VAl2zAwj26XCmNar2N74uWJQftr4rd/6Ld73vvfx8pe/nBtuuIH99tuPq6++mre//e085znPucdV+ymnnMI//uM/8vSnP53Xvva1POlJT8Jay0033cRll13GH//xH3PQQQfxtKc9jZe97GW87W1v47bbbuO4446j1+vxla98henpaf7oj/4IgP3224+LLrqIiy++mEc/+tH0+/3ORJ7HmWeeydFHH80zn/lMTjvtNKqq4txzz+Ub3/gGH/3oR5f3Dvgp4/GPfzyHHHIIZ555Jj/60Y8477zz7vU1hx12GL//+7/PSSedxPXXX8/Tn/50ZmZmuOWWW7j66qvZb7/9+IM/+IO0/ZFHHsl73/tepqamOOywwwBYv34969ev57LLLuP444+nKB4mt3TWq8I1jV8tVoGCzioioitj6r8TB+vo1Fllq24JFHeoGImr8qiV8I85aAxS+5W7KdvJVzWgRn7AzPUdpidpRSnWoUdCE0CNqxXDQUWtDdYq0C4M9i41WovUuIi0E/+MYHrOV/yEgbCxip2reXqqxjrFZjPFwJZY51d4hIHdlj4tI85hgo7AFa1GwGtdgNKhAr09GpbYgdefjLe3R/wEERvGxTJjCNekaQGLLQVXhlLvOOFFfxNjPAsSnV7jBB59asJk22FXgFhG2/ZVMokpoJjyA35cdeYW8Ts4OsLVOJZEkJ13Oc71I/h71WG640/OpGRl9blpm9+fpP3629Z49arKfFJyz5ixZoHxd64hsQEsSEjL5OX26b3Gx/3Xoi3LjxMz+b0UXp493mFfdPu6dhtp92EzBiYcN+ltQ4oJoKk1dREZIocSGDQFJrAeRTBts04Y2oKBK6mdYoBjEMmOYGEfo3Zwm7G+dYVTyaStL9ZrUKxl3hXJQ0XlNLDQsl42sJypESKp/cB9oUUeJqP5jo1+v88VV1zB6aefzl/+5V9yxx13sMcee3Daaafx5je/ecn2+RdvZmaGq666ine84x2cd955/PCHP2Rqaoq99tqLo446quMLcuGFF3LAAQdw/vnnc+GFFzI1NcUTnvAE/vRP/zRtc8YZZ3DLLbfwe7/3e8zNzfGoRz0qlSGPxzOe8Qw+97nP8eY3v5lXvOIVWGv5pV/6JT71qU9x3HHH3W/XJ8ZJJ53E7//+7zM1NcWLX/zi7XrNBz7wAQ4++GA+8IEPcO6552KtZffdd+ewww7jqU99amfbo446ive+9738yq/8Cv1+v/P43/zN3zx80jvQWkHHxoDRAyJoDnzYZBmOoV2px8EsM11bbv+QrRwz4SalLwFVtUUZnfw+8vJJp/ykmQbJzJIbQI3EV8M0Chs0EbZRYdXn0va5a2bMq0cA4QcwYViXLDSVb/EeyhjqQD8vmpKBKWiMH6Vt6Wj6EkS2rS4m2dMnYaIDIzQjfx1Mo6Dxy1Ex7WRhY+48vN70lQdixqFG7fc4AjRVuzY9llvOZ/buLlq+B3Gzf1587j1+vmOsQLoPxv1NnO22MoirUGthYcnHvmPCOu/2mkXuHioZGM9f41QGWqKRWtQsdMBL2FbrdpIDzziJLDl2imzl7ntRtSAnaaoykWsHnIT//cmFXxFkSEvaJBO1/L1nLEdrCBf+Dv8n2/zIpmTHzFM/42XIMZXp374vK46uzhLAiAnpPxVucuuExinmbY8RipFT1MHyvk/3fttkKwauYEZqBq6gTwMCNcKC9Z2M6xxtZe/ZRVYrXOMOUIyABe5TmwZxy/Fhk/ipY+edd+a3f/u3eec737mjT2USD8HYsmULq1at4sidXk5B0dWehOgYssWvZ7CIdnXTFbymVWPQm0S/E63a1Usc9EOlhaxaiVkzy2inHsPVBcNZYbTKD9jFgu8MXG0N/Xecw1SKelqoZzx1bXpgpqCecZgVvv8OJkuPDBTlZkW1WSjnguA2y92bSqhnYbTKUa82lDsN+YXd7mC/1TeztpyjtgVDVzCwJYum5Adb1/Ld23ZhtLFPMacpFoRqE5RbvUFbEuP2hHoGmhWOetbiKudrRh0emDRCsVVRbhaKgWeL9NBRzTnKBdt2Qy6gnlKMVgr1Ck/JV3OO/t2O3l015ZYR+u55ZG4et7DYpi3Kok3LZKv2JHq2eeO60LU6sjBZ3n5cYJrrUOK9UdcLfG7uH9i8efMD2lojj3jvPrN8EWXR64KJXCMTqmiSP0+8n8cnpvHGgUEw3DFYyyIB8cgI5scOLJTLnGjzFFISj1cVsutaNh+wKwtrFbYaYzgCiPD287QiWuikVzoAI8NHEYQngEJ3n/l2YujoSpYAlvB/XkaP+Ht98REW2XXI1PSQftmkKp4Yg1GJdUKhDVNlw16zd3PYTt9jv/6P0FhMQGWr1SCxIdYJ864MjrENo4zqsE6hgllbKZa5kMPdZKf56O0H88X/3Je9PzOk+saPcPPzqXKq2yzSv7HGjfjcwkXbde9OGJT7Kb72ta/xmc98hrvvvptDDjlkR5/OJB7qYUywPsqp76xSw4URLg7qQe8gUSSbVfaIC5U94LUnUWwZPTOQtjqiKPzqUceW8+2ACvh28c6l3xBZj7Y1vTJgTfg98tUqgF+JFtZrUIJxla3Eiw7D4Bp78TQzLviVKJqRZqH2Yru+qlE4TEjrLJrK988J+hE/gDvMlCBW0CPfiDBGosB9kr4Vk2Y6m+QOGoBNMyWoRigWvYgxllJHpkXIXluo1gslltY2LYgUHSbL4DvjNUUKF3VgWWluDiAlVGURSsTDE917xlqfBhy3mn+QQ0qv/ZB4TjGiB0/hfXZEtU66QKp0crUvvR53iI3golOMkFe1xX0lj5/ACI4DnyjWDTe1c47UydtaX2Ycq3EyXBW/BxL0UZ3mf9B6kZR4IesY85iDi47zLH4/uadJrNaJjElK9UQ2MHtdsuBX3X3HS2esYAKtEtM6hbYYKzRGM1K+Z1YphjnbZ0ZGTKshC7bHnK1C80D/ut3VAnfYHjc0a5hVi8zIiHlXUbsChaUSQykNM1KzxfUw46VOttsnygv3g74oimSb7SzhYQJQ7rd4zWtew//8z/9w2mmn3au77CQm4Usxy7ZTrYrcrwSfi6ZdhQJSqOAdUXcnhbFeO53HQilzAjMulDVrnTQXseolTcZBxxErD6Jgz5btQOpi/jxip9o/Idb3wZHQ68ZW7SQQUz2xT45/ziEG7ECzebHPppkpdqnmPPWsaqDvUzyNF+JGcBL9K1Tt9SE54Ij5el9l5AWxcUD3aalswNde+2ILv0836qaxxjUGuTFXFCP7ipYAMLNUjJCV2gZL/JjWkar0E6Zu56FO+i4Cl6gbKsvWZyQ2EdyBxLdfGWeTP6T0jFSVB8lxW+dgNMLF8ut4r8amcdK1p09MYUyBliFVGb8nOaPYZMUCseVAEBLnKSUP5LMFQLivk/V8LO81GZOSRB/Z+85Eq+Lw6cxcg5JVryXQHwFOri0JKRsT0kvpnsuYkuSpEr5z+X6dAld4zUlda0QchbLURjMYld4PpTAU2tIrR0yXNZUybDZTrNEVq4sFdPAw2WSnGLiSUgy11dwBzMiIRxZ3MatqFmyRmBONY+AKpoPZW+UMC7bHQlO2aeGiQHTj33bGHnbYtkk34wc/rrjiih19CpN4GIVdHOKUa43YwKvbm8ZboeeeKFkZJRkYSemBsmwH+aLwFR45iAmrclFFWvXHEmIxvolfFAiqJjAmpSBhkLU6Ph78UIKo0BYZ8xJQgF5UaaC12utFcJ6dsNoDnWbaYQsXXF9dEMoKI6upraZGs0IPvSbFFMwPK+xAt4P0+KQi4LR4f4gyTpggowBOCoc0EsBX5pybrk/Yb5icVOOZFS8WbicJ1bh25d+YtJLPHWSBVjgbmzcaEyqshCVVJ+PpeNt6nrRNIF0Q5JKOlXQuOyKs26bQ0Q38vSsBICdH1wjeonBVZ+KPrIJpSdonime1DoLYUEYcUIGLQCemhmLFVIwlaSRJgNJmfiYxdRIBry3pgJPUxTuCh4zNyDVW8fuSp4hSerPwX+FYYhyBRwTvEVzHBULskQVdZsYV/jmlLEo5mkZjRFEVhlIbauP7T0U9ihLHwPipfkYNmbNTzAEDVyZWBEipno12BuMUfanRAZzEKKVhznpGZYvtM3Lad0+OSDvcvwmsx/sgVCR6z5/l753lYgJQJjGJHRB+MNaB+gyCwlHd6kka11bopC973TqYhgaAyR499IOxC145mVdVAO1ArRVOt12Mx7sZ+z4isUompHYKITOe9BN3aNqX+zREcECs3lEkh8xm2oMFUwHOAwVn/ETgSkXdaO/2aivWllvR4p0wF5qKponCO79rRZgASu8eq0eZ6Da8TQnGcxTeEC71/mnCTwQGIaVjSii7vTs9KKl92kfVpN4rUofS1wgoYxXWcmXdLgMY0dgtK7WNgKOju3DO+6WMN1eLLFsswd1R4ZbqC2JEKh9oq5ygBRZjwCYvm/fskE19jLKN/KQXmyVSBpBTtcxNlibNjQuTcZzWXs5hbPI0yf1/cn1HhxGJ1WpxW8nIlaIFLBI0KTlwSSxIlM5kzExMH7lMR+2fCOeQa1EA78/SbrPkI3G+Ci42DTTWlwY7SKXHpRg2mhUYJ1RimNU+hQMwcpo51/Nmbsp7EQ1s6YGKGqJxzLuKgZ1KoGa1XmDOTjGyRah2C/dEbpgnrbOvC8zfw8bq/txzz2X9+vX0+32e8pSncNVVV+3I05nEJB60kH7fr4SjqC/vWxFFf0XhB9g44EftggoOsmWZmtHF/j1xpSJV1U5uy02cElxkwyCqjEONYhdfhzJBh2Lbwdx7PZDSPS2T4tezeiCoobeiTwN71Hn0oZkB03e4MgCh0iW04ZywddTjzuEKFkyFcYphQEUpvaMcrvCjuS2810ozFbxKpkhum7G5qhj8+Qxb1iRNOhl4isCsnlbYUlr/l7jCbfL3I9ipAhe9TKJdewAZEprl+e7DfhRWvR4y1fefk3O+mV4qE/diQzeWtpGiSP2XpFeFyqvQ/HGqj1o5ez/diT9F5A3+IriOVUx5eXFqlli1pnaZ7mabaaqgMxnX4EhMi8Zqt8xOvyvYDT+xAg4yUKi8e2/qzt0yIH7D8HfGmER2I+lWom4rMGySMQI5o5L2K+3/nY7GWfWZP7n2/47/Sf6a2GzQ4X19xFveizjqWjMaFYzqIlxjaBrN4qhka91jq+lTO00lhmk1pMRgEC+QRVFKQ4npVNNVYjAoD07CF6xGB1GtrwxqrCKlhFNrg5heU+0YlMrIt3FfLRM7jEG5+OKLOeWUUzj33HM57LDD+MAHPsCxxx7Lt771Lfbaa68ddVqTmMSDE6H80kVvEiVQFrhRnezT3cJiR2TYsQkX6fQ/idbq8bmkS6lrpKpaIavWUKh28HcOZfyKJpZHeppaAvXsR0lTiTcsywbzmA5SQXMSB1I9kgROnHaMVtOZAFTtJQzOCbbyCEmCKVvjFHeMZrmDWeaaHnfMr/AMStCTSFYtZKYcauTBSYoganUtk58mHD3wGhQE35wtrmajPsJ6kOay7s5JPxP2pYcGtdh4EDOq2/QNJFYrpe2qqi3zHjrcaOSbQ8ZLMarTil/6vfT5tkZu3jNFbJ0YhZjacW4HpnhCiEhKtXTEsPH/8fL3TF+zXKVOmsyieDYHO5DYkOh7kneQjtul66lVVuoc9DKAZFRgXvrr998+nlKAMQUUGMG0o86FGPtfeW12KqrJtSdZ2X0OPDqC3AiQsns0ASUhIfBcJx2dc33ZcfCwE3+yKqvu6Usd9F1gUem9KP8fFoV1HqyATwN5kzZHideG2UATDZL/fjhf115rv9NIrY6B1oeDBuXss8/md37nd/jd3/1dAM455xw++9nP8v73v58zzzzzHl9rreXmm29mdnZ2h6rZJ/HwDuccc3Nz7L777qkL84N27NHID+4RTDjle6zEksgoMIvNt5zvchwb/vkGciNST56qag3ekv+EarUqhPHPGGTUwFQZGJDWDyKWAycxrG4ZkFzsGrdREBw1HcViFKM6bDRr054lSSxNI7jC6030UIJwUrA9GI0KjBO2jPpsGk5RKMvQFAwbjbMCVlAj8WmlwIRYDXbGedCStDC0PidxFav8Y6bvKOa9DkYCoPJ6E+97YotWDKwaF5oIhv2G99xMaf+6YeOZjcGw/Rxie4JRDWX4bJsGNT3druRHo44FvAepDdQ1Di+GdaEfj1dBmtYEzrkksJUls+SDGNbh4oUJQCHZ1kPL2EWxtlKt8Vp+3qFXkYteKdDOujmASWXWwYxNkfxPWnv8wN5EQ7yx9JNvKJj9nzEj/oH2XonPp3RM9hrIgEf+ZPzb4QGJ6j7uIKWI7ilyfYssk9IRhy/pdxHDqeDJKB02xV87UMqbFcYUT/JGQTFwCoXt6Ew8IFHMBhF0BCE6ABuN9QxKYE9qp72JYueatIzwEl8bpeh8EPcSOwSgjEYjvvzlL/P617++8/gxxxzDNddcs2T74XDIMLN2/slPfsITnvCEB/w8J/HzET/60Y/Yc889H/wDi/h0QN10epckmjpUeqRqh16vrRyJ2+cCzWCD3ml5HtIOifIW74QqxqIXbaiI8SOnCs0BY87dCcHWG6KANmcT4opQD/Oy3PCk8eDElmB7zlPShd+xco5IADgVUjaNYuugx8pq6O21m3YQc0aQWryWpJFgpe/3TeFw2g+matE3KSQDUj4J7/ejwsAeOxanVXIAY97q3l8Dp32qRzXRcC6yLCBNW7mD9iWUkdlIQDFogsCDktSHJi+TDf14JN4LoZNxAisiyFTfA9cw6XoGLRck7KDI2YscDER35AAsnHXpenR69hTt9YjvP/WNikJXpZCoPcmPk78+Ox/n4neC0Jgwpni0F3xnKZ+cLckrbDBdENFpHChLWbWcaYnfAWX8x5iAfmRFQmqxI76NAlrJgNB4yimeb2BZ/D0oOCPegBDPnIiylKXxLSKMwloPDK0KglmnWLA9bAAb87aHxqYqHfCAZN56lq+vPCNYSuMFs1juMCsZZeIY69q+Ry6r0En+TOHvzhj1UC8zvvPOOzHGLOliu+uuu3Lrrbcu2f7MM8/kjDPOWPL403u/iqbtINoRRcUPeMxOOkbKh+aWyDpSUJk1eE45QieX7xztPqBTYdEJG4RBqXOnTefnjAu+Ai2t6UzYvmOHvnRA8ivsVp/Q8Raw1v+r22Mu91pnPC0nhfZ/54NN8BNI52JMu88ofAqHZBkGIl7j8feeP+ZGUfjZfl4uCOU628brnQ96Y591/IikKts0R/6ZxD41oXSzMUP+Y+ETzM7ugHx+aC7nqx5U238EcEohEliTMDnl5l0ivqcHdd2uPmNFSHbvSVF0So/p+f4w0ljoZQNqTbh34gvD6jI0NVMjUKXvqdM2V8sG6HjbBSDjKw1c+39poQr330DjQpOzONDGwbZpNHfMzzBV+QFsUBc+veOkZUnEtTqY0nqmQrvUAyjeDHHfuqYjNlQRnGQDvyuAoL2JuoBYIQTevC02DJTGG7rRWK9DCR4bKd0Wq3TqpvvZSJwFJaUiJGg5XPL3sJk7sNcnyYhkkQ94Bm1qCldvf8O1+ztECyKqBSG1/z66IERN3zNRiMrGnQjyYp+ifFVd1+l7D3RbBWSlqi4zI4zPeSdVAQJTEwDReBrJjwfejTaKWsW17AYx/Se0qcB0IP9rXPSa7q2MkcnTMnmZetpvCA+Ks2O4ljWRhq5CVNp92wJc6VCFfwO+ato7yTaNRgfAbox/kVKBtRTLar3gK2+wzKgh89Z7mfgGgJppNaQSzcCVzLKIlha4+HJk/wb6UrNaLWCdYqYcZuZyLYuWmgMa60H2T+Hfs0OreMZPdrxbcIw3vOENnHrqqen/LVu28MhHPpJC99CNF+iknGPcb5ywc7AQKEeP6Ag/LeKXIjQxstavqgj9RJQGG0VsugUlzoHOez1si9Iam0FVa+mMOMQpP+mKePdQsQHExJPUUJTtygT8xO1U250WSE26rMXZxn9RHWHl7LoujTa8F02YxDVS6dYrAHyZpLOps6gjGCzVIU+uy26uecx8ycWZwOLfi1L+vUu0dsdXQoyHsv78RCOFdP09xHWBpWTXP606tC8D1VX7jddRQWn8e7YQb/8dkSb0AJFOmfFytvcJtGSVIqIVooo2ZRP6wiQDrDwiyAEkgG6XUbC2DGkN8YZquGxxHpgF0++meXKtim/4R1rZOZUt9uJg3zdUUzWm8U3eLWAbnTxJ1FAwfYVpFFubPrXxpYujumA0LHAjldrY+wnCQeGgdEjPUJSGRhU45bsrF/Nt1U5uxpX3SOl4T1j//m3AsLlvi0SyJK5e44Sj8ExIWeIGvuohXf8cbILfkfXPJSAT0ndLnIQDw+KrZMKYNl7lEz/zHRSuMThpUmM/EZfAVRx7ox+Kc5KEtM6YVkCc+f8kw8H4/vN0T2QMg5dMug5N0+3yHcZZMSElZp1PJ2U9eryIOYpk45shpQdjiPGgNaY9GbvXY5+mjo4k/q3aOTpqUfL9Ah0WMnevjYBF1eBKPLsYWzNkx3HKj6njX3URqMrGp1wQytIgAr2y9j4pTif2Y8H2MKEJYBVSP33xC4PVeoFSGhZcD4WldgXztsKi0nMjp7ndzHJrs4qBiWMrS9s/WNv1FspTdtsROwSgrF27Fq31Erbk9ttvX8KqgO/g28vEZTH8l7ilUjsqckiTVxKvJfo8AyVpU2kZk2WcCZNtc1EEmiqudLK24NnFT9vn4rH4d36MrHpjPN/q99OKvtJ5QpvLzQVlWffU5Eha12mf41Rbul5V+x46jb6gM9jmOeQIZPL+IWlyzfLrHgy0lK/kgGLcoyDvXZJHomm6+0RLGsA7+8mtw+NxxnwV0BpGYyPTgx0JCHZBrQslqYSKkBhxMnPGtqtQSPb3UlWtfiE+3uT3RthXobCFSgyJmLACG6OeYzt6W3QNzKBdLearvjRQh8HWTFnclEWHyhtRFlEKp3yKRsSXCOuh4OY0tekhUw1KW6wVmkGJGylkUXuTtXhOpcNph+o3VP3G598Li6v9vp2WdsVpSb4mub6gQ6NH75de2N54NsU/7r9ffoKStG8ACSxJp39SvE9D6s6NatRU3wtmm6Zr5hZcfl30AMkZhvH7IvRPkghomh3HoKjpKcTqNO54TUhBLKmWUMGUgEWk/cuiA7TiorJjT29t9/+QBkV8jyNrGlS/5+/1OqMjsqqRxBxm33sVmayi8GXGAWwkH5LI9oXFS96aIZm6ZSBBjH99XqkT05V6FMryLaicTYkghrBP2/4vtAAoAeqmRTfJ98f6VKU0gh165llpg9aBQTFtykXEYUOvqy3DPpubKTaZGdborVh8GXHtNFbVzMqAUprkiRIrevqqpnaaGeUlFgrLwJVYFMZ5wFIpkwC8vwC61R/F7EbHzmD7wfUOgeFVVfGUpzyFyy+/vPP45ZdfzqGHHrrd+xGhzfNmqm9ngqAwKuihM3kTUX4+UeaTXCZiy8vh0pclV5XHHijpnCQh9fThWNstI4zliPEckrq5XW0sWdVnpVr+f0mrrWQhHFMaOSCJ78G023Qs1ePPeIom7yGSHT9Pg8VINF6elxZpfyIwzHuRbMMzIh07ApkIJuLnED/jOBhGQJWDv5zRgfa6jJc2PsjC2Dxc3bTnnUW65vEegmyl6leU1HUyY0smb7kwLaUvs3u9KqEqcYVOKQsJpcS6dqgm/NTevC22l0+ljapdJXaATPw/PhdWh1aDKxxSWnRhUMr5QVQ7PwhrF37wOpaRoBYUbqFgOF/RjAJzsqApFv0q0jvQhlLj0iLadfFsJDgLbwQHJL2JqslM3VqAlco9w29TSWog6CJLYkkl1/GaSeO/9zI+loTURErVRMYg/2zjZy4Kn0IN96uS9rucpXSWXbjcl1rN+zlSymn8+wudJpVxQefLqrPxMLKGy7jnRjv8ztgISYOTfFYCqBv/8VbqHhi6wbD93keGUVpg7gRs5cXTpucw1dJrmlyWA5CRjD1J3iiqBSdiu55B/mKEe3Dkt7dl9p0Krsq2RwJCefqReH/G5yKLWDmk8MIZZz37aIyiaTRN40FKXfu/tbKs7i/yiGoLfRkxb9uSYd9awrMrFi98vWG0llub1czZKe5oViZNisJiUcyoIQrLnO0zZ6YY2cB+Cdn1tuHv9h6RsXlje2KHpXhOPfVUXvayl3HggQdyyCGHcN5553HTTTfxyle+crv3kb6j410r4/PLTNQyBlI62pJ8YrPZhKvGBn9IIrjEwoyzGNBJO6W0hGRNwuJAlKVVOu8vryXPUydx1UaGUON2uUgNWrbG2SQWTCuMLM+brkN+Hlq3PULivrT2jEkaJMKANGaJmVOwnfOJ7ytP590TUAjHSfnuQAUvlx5M5bZpQlh6TRNrZG27gt6RkbFpTgQhT5cFvjjk8134LCSUr0YNCpHCzpg/l/0dB4w4yapRgysV0vPurBJBiLA0f44fSFPjNEggpfO/zQbcwHCg/SCqtaUsvHjPWmE00snPxNWCsoKMAp1tlW8WbIViQbUeJBLOMbho6r5BKRswsK9eYKrBUnidS8yOSguulCF95qrJVrXLhFhHrOxQjUumbWICgCu8uNMbq9nuWDJWbpuMqkIFj1RVW5kVKrcwtIufTml5uB+CiVleVr7DIrznVMYLLbNKdyzrjLl5yj377nfSANk4nFcGdY6l6IKXbMxP4uOMbSQfD2z2HVHtvQG0NvPhnrHaBVAgnggK92F8rT92fCueWcvdjpNANm4bdC/tyYZftn0N+X5zdiUeNwB/p3L2P84LoJT3FLKxo7Fqy4ytU2hxaCwjhxfHiqMvddKWqKBTWa294ePAldSuwKIYOY11it2KzYDXocwxhbHKjyN1BN7hzJZoMcPzyxj8bSt2GEB58YtfzMaNG3nrW9/KLbfcwhOf+EQ+85nP8KhHPWr7d2Kd71GS/h+7ALEGfjxXmUdeCTFmlhSj87pgvrSkZC7uCzpamjRhxnPKmY6473DuadURi9hzQNI0LcgZq/9PK7MxseW4N0ESl8ZBMKa5lugWxpiQsH16L+OAL38fkKg9n27Q3XbxNggE0V7jk123XMSaBqQAPmMPmc77ytNbWQ+PdH1yP/NcC/RQCBc40SiAzQBwSh8G4aurm0SPuwgSnfVi03xATwLLoMmPmgfw+69H4KZDx15vSuZXbS5Z1ScnzJxdyLQnqYogAyfgGQoT5UTKr/AoXTtgurYyR1Um9O5TieqOFvSqBjXSHoQsSgIopg9OW2zPItMNRdkQ28zH/UsAJLYIbEkTZ4hssI8TSKZNyat4isXQIVlAN86neVQsxZbkCyPDzLo9irVjiXCeqsu/S2XZfk/iyjKC/TGtXJrMs8HcjUbtguA+5PEfiMgBw3Lix1z3AbT6t5x5id/JTFAZdt6OIbjuhJb/PbbwiYuPNN5m40caGwOrm9IoFkCS3gNxoYVDW2LuwYBA1I5k9026HvGxDPR2RtUAenLt1rj/StpXBpIiUEkgPd7HY6VG6dIalW52rf1vE1xmo85EiwXr3WONE2q0fyzEtBp2KnW02OAeC4hJKZ62ZNkzUmghpW86n1Nc/Er3/+2IHSqSfdWrXsWrXvWqn34Hy9RadxiLuLLJb858lRNX0mHC61Cp+eCQMytRgV8U7X2V7zcDFVGvco+rnY6OQDqP+7JDF0rmFM55MeuSL2wOumLuN5YkOtcCnrgCG1u9sMwqBWgtp6OnQV4qFlkcxbJ5xpSDt03LBMQBg9aJMjFQHV1O9vd4GIOLnVTHQUcOTqC147bhG74DUzrj4R1fy6ATCpOdeGdIghssIS22hAmK+V1oAXbGBNo4SSrlLdOLAil7SOmrTqRuUHXpvT4y7XDs4Jpsv4P+RJrwdYkW3LQDsjSkfjUxD281uNIi2iLKV5ONRkVYeCu0trhCcLUEzQgwEop5PP0OCTSoEd0OsYFKV8rR1N4RtCj8tWhq7bspVwJDnfqWqFE2wOdC3wxs+b/95KRHUCwGF13tN/QW+WElWihU9r2LFX+RNWy7O6uU3o0VO4l5zWwTUKHba/j8XejS6z1P4szjWrC/DDP4oEZcMEQmA5ZlM6C7WMvT5kDLPEPLzG7zkJImuM4iMh970mIvLvSyz2Hs/FNLhHS6+ZgKHkHnNAidKrXxl8QUD0j+ko4IVjKQ3/m/Q1u2+7Y6prC3dVHyt+SBunPiMZKyKGXTY8a218A4Dy4qwARmJH9+Vi1SuyIBk+iTooI//ULWxViJReEC46TSfNQC0yyjkebIbb2hpfGw7sUT78eYMkmTZkhpdMx/olZkLA2T0iwRIHRy+iptk9NWAmmSTquC8DtNHMZ02Aegw3B0zImsTUg/11mk9xmEkrkwshOZyDQJ00xkTLLy1LwZ19hxWsOjNpyTLruSTYpiTBqgcgFlByR2Spaz51V7LZK5U64jgVYMm70/X16bDXLxM8vEhZ0VbNMAum31vQxrtaPCGYPDJnM2nEI07QSkBKKoUiRdP2KVArRATrXCQDca+S6iwVNDCJ1zw+ukV+F6BbZUPt3TOKx4C3vw6Qwn0pZSujEGBSDkz/XQp0pi6aPphYqfynlmRHsGxbMoBNGea3vrBABhQ2diGUI55xsSKuMwleAKaEJFgxg/0lf9mpn+iFGhaYxiNPL3uNIW3QNTK2zowRMFsTn13qm8iHOQAlsKqvYgpZmS1jfFuswePwhVjfX3n2vv2+goC3FC1S0wj+AilNJ6f5PW42NJublSCbimCb3ILPIdMNY76EELpUBC+jf//oZzbb/TLauZNG+w7YVdtmjsiOHjMcdT1yIpzZaDoLT/DCCm42YpH2jvh9QbJxrPRcDhUZT/zgm+LD4DIBFcKCPeoFA5YumOU64F8g5sPk5m+0j70vFa+OMoE/cTAJCK5whOMofY4B7ry4kdolxn3SbiBbRDW7LJTNNXPqUzrYbesM2WSZNigovsI/QcI6fpq5oF22PkNJWAwqZt+mK5C4tWeYrOtUxv9ll3UnT3gUF56Cwpf4pwJhOwBgGOF0tpkgBNgqdJ+DIlABDTLDFHnIt5wiSb06jJF8X6pGPKccb9Nk1LY1qHC/qUBJxyIWy+Uhj70uXAKApaO5N3/oXLfS7iNajCqlyU710RwVnYf/YmAxtkW/+BXDQrKoG98W6t/r3aznGXiyQYjoP1GD3bMRmLzFNOeUcWgciGhJXmEvpWOiBuyYCev/dMjLcDdYY+rG1ThrFrsfiqM7s4IJZRE5m9eB+p7LPKP9MMlLvRKH22bjRKnycQBJ54IKICS2JJ3hCQMyItgxHLHcV6VoIITCoPTpwOXU21SyOTtT4fXhQmy4tbdGGh9PeQGkpiYsp56G229DY7pjbajijRVg4qi2k0Wxd7bcpIOYrCoLXXu6ipBjttMT3nTeLC61MfniycCv4uJV5jEih475fiOuZ1qnboofH6lFBZQkjJ2fkFf52zVKgbjbxYM6/egVTdQyy9j1WC8Z4IQtEYHcAdx626a3b1lre8pfN9ExF222239pjO8Za3vIXdd9+dqakpDj/8cL75zW/ew815DxHOIfbC6RQSZN+/5P8SF421F67615l2TIUkYo1jSxx38rEzHTtep3x8ds5f6zq71vFaxnFXpLVlaAkPUJ6tMFOu7Q8VMiUqdMFOBoYBhLQpw2ggiNeqlHgNVgAUUTeVV/v4dKa0nippcm/36ZRLJcXxeLHpZTxn0QGkBADSYrTA9AW2slcYCuWBReyzs2B73NGsZGBLlFim1ZCd9VbWFFuxTrHJTrPgemwy02yx/QykGHYptrBge9xar2bB9qitDpVv4bMcjZZ8ngmsGkOuA7q3eFgzKCwzAeedQmPkuclObjQO7hHhhy9ESvVISBoq1b4uP36YJNOqN7oZ0gKmdKwATOxywt18RR/fQ95DIlX4ZCsTaYFKAi6jUbu/sp2opNcjpoo6OVnJnEzjOcXjj+UQHUGAGtMmaaVBm8bKz11s5zpLeH9J7Jpfd6U6ZYk+hVNDWZLEda7r47KkmiFjkSQDNkBiVWLL9nheqldBxrQ/mCFVhVD4iS6mpvJ7V2uY6iPDYWcF3mHZ4uBeNwH8apwZpUE5guZOGX5Y+evFGtvTadD0lSl+Um5mspVb/BqFedqG7VPpZXpDfls7Zb0AtrCUVUNRWJpGUdfar/BsxpGHFaLtOfTAd1DWtaMY+PfV9NVSu2/n6euiMDSNTqCnafz+nRWvzVE+faVGHnzkFRBAEvWmVan4Ch4xXdSam7yJcRCfb1qBuZrq46rMZExU8uOI+iEYYxfBA8qiSEwASlL1iWjV9mYaSxHbxQFmuJQ++cVf/EU2bNiQ/tfZGHjWWWdx9tlnc+GFF7LPPvvwtre9jaOPPprvfOc7P7VRYccEMln51/595OOQDWJgHRaC+eLHeqZZtA4LrgDMIpsSqw7j2JEzqNkiJYmVw/VP13ksxe4WB2Gb8L8CxDsGS3jKlaTUiy0yFgRCNY5nGAUPWJJHUPxeKM+W5F2OU4mxIpkYSiOpssyfiwup1njMAITisJ9Xpo0E2yhfXu8E00h7nEDP6MKX648azWJTZkZsJjnJDlzJrAyYVYtYFFtsybQaslovUDtNKQbrVAtO9Dwb7RQ7660YFJsNPsWj2xSPVJVv/1AVLTEQCz5UHCi27x57WAMUkfbL4SfPbGKPN3KsJskmyRT533GizBt+5WK3GCGdI9FF0lo/2eZo3jpCjqXdb64kHzt+Yl/ilzS9QdWClPiFjP8bumApbgPtlzvfn2Q52fCe8vLGNMjU2bmEgTWCE7/as0nYmdN6XgBmu7niuoGy6Cjxk9g1llLHShR/4fzgnrtJBrAhWntEnue984jveUwLNB6JYWga7EOg4doSPUEs5Q5pGQj3XwCfhLJNAnOUwhjvSApQ19jQdC6xSDHdAO292FjEaFQd/g+PF4sWqzV65DsQe02Jf2kccG0BpnDJ2t5qnxpJ1Tu6vf5TvZraeDBRVQ2DQYmzKlHhagTFIKSLQldl37DQUc47bCU0M3jnWMBZFQCJpVc2DEYlIhHMQ9FraJTv4WOcChoTSfS4f6/dyx5LpXP7exU0J6nzbalQjU0lxhTaV4wMBolZ9W+ovc6pAi9+jjHi9pr2c4xAsgru2DZoz0IaMOpUVK+H7ivY1H0PRVF0WJMYzjnOOeccTj/9dF74whcC8KEPfYhdd92Vj3zkI5x88slLXnNP4UZ1mIwjG2GB4ImUu76OpVMApNcLzEl0fK3aRRO03/ksRS7Zwiay4pRlpwoxX5T4/at2EeXC65RvFxHPyAPwMHYpfz4x9eJ02zQyTwnG9IpPCcUHA7gP909iRcR/TyKwEQuEflROgStbxs5XsEmqbluiXYHUkNNpcD3PQoqyAdxGJtEvCLQ2rSpBWcqsNUIphr7UKGWT70mN9tU6TrFSD7BOUbuCTWYGLZZSGga25HYzmwzdNJaeqtHKggU1MiktnaoKA+Mrif0P9/F2Lgwf3ikeR/vljt4ZZdFWRSSLacLd02VPElsS6cKsQidnWPKKnHTgQGHZ2F10vLImt1vOB694LgG4JGAVVgeJKo2pDMjSEtJWbASKNN4Mabv8PGI6IBOi+dN3Le06rsMI6ZIczERDtrSttM2/uq9V6bdPG415zUBLU4+Vmm0zDRSp7PjZ5sccS3PE65DSUuEzX7JyjWm43OjpQQ43HHq6O3TExdmlA7XJBt/IDIG/p8sipXDi+0yfdUqFqaRZiLS3i9fTWtTIBJDi/U/SCk9JasaXyh3z1E9gI8SK77cTBnMXUzuFTas356A22s/nifVQmKFGRr53TkzxiMHbyVvAOfTI/6jaV/QUWzXU3i3WGC/+G6bW8r7lQVGM6beMfx+mcq0IuHDJ+yKvrFDhHFRD0uK0GhSHqi0SzP2kCX2PrOlqu6DtUgy+cifqSqLuTGXbBwdWuzggCusToIwLh8Qk2GW/OzG++93vsvvuu7N+/Xp+4zd+gx/84AcA/PCHP+TWW2/lmGOOSdv2ej2e8YxnLNv77N4iAt+2r41afsyMqdioPQj+JOl+T60qpJMm8tuN/Hekbjrf3XSt67qbHs8Y6QT6Y9VjAOc+tTbyLJiLn7l4Z1hHqOQJu7MEVs+ncFRNEErjU0IFHe+TvGdPaiEx8oJriX2ntE//+H+yx7J9+TQOafWpsh5U8Tvi3W9bJrLVefn/o9V9PuQVyjKtRmhx1MHqvhLDyGnmbS95nUSn2Gk1ZFYt0lcjSmkwTjFwJSvVgEoMlRim1ZAZNaRSXo+IFlB+UTzO9HZ8wO5DPKwZFE9904KAMQGpb3muO2XEQNeHQ2UAJuwzMQPjFThZ1ci4RsXvI72wnVByAJCLwnJWIWMy/GaSzn/8I40MRLSXbq+DtL4r8ZgRgMSJKz+XOHiUXqjqyCjTseqhFkiFSVS3HXLzdFK8RjFFlECHf6P+d85M5axSFLzFnGVubT2W3ulcs+xz6HxWGfvSEc5lOX5x9XZTjQ9IlGVrYBU/D619nnxUdxiUVMExRl0n/5eq8ukio5KzLIRrRQt8UpWJ8pODd0yNd5ks6VocJ21KEgORRHthRZnMqiqf2lGFN2crCi+gs04wJgCTIHQl9OCJK0tV+/SOk9hRuP0sVe0oBoLpgwwVttQUpSGvXAAQ8Z1cy6rxxyotthK0ET+pVK4jllWmfU82ArIQToEaOd+fRwjfXcKqVnDBsdQtDjpsZOocHcXa8TPKU85jaUqA2NYgfRLaszNi6wyIRybGwtjIcNBBB/HhD3+YffbZh9tuu423ve1tHHrooXzzm99Mjt3L9T678cYbt3l7jjdp3bJlS+f5yJa2C702BZ7rUDrjrLXt55WxHpKNi+KRZjpOAi7RC6ZpErhJ1yNqeNK4012URL2eVFVbKUa4jKmkq2XYxkOsJNDgxCVwM/5diCmgzmtxxCaEsXIn6rk6NvAqAidJqZ5xd+fU/ypiw7Q28ddVKe9tEhnLKJCtVMOsHqQKHYvvZEwoMdZ4gewW10+VO8Yp+lL7ih2BKij1DUKJoRIYucIbtVn8WOpsdzzO0/4x7kOJ/MMboOSTpXXtCgWSDqJF09mFyx06IxpPq/+xfWa12ynVAd1UDHjAEAGGy1bCOYU/DhLG9BJJeBvSJSkitRldFMN5Jll4LHkU6XzR/XMqTfTp/acvfNPqUnLX2HiezuIMaVJMaS1Yqq/JRMgd1mQ7UHMs207aCUI5dbwm+T4yoJms9sfSdqnaJ4ptM+YrTejbEPY+qGGMByNjqZrcjyf23UGCcDKwZknUHPRPkVIdF1sCbafdXq+jXfFP4u9tLcmcTJS05be2TeOkl6R0DiAuMSmutEhlKSovWI0fW6EsVglKOYwpPK62gtRCuVUoFsJK0xIqaPx566Ef+KMTrB4ItgfNtPiS4hCtKFCoCgvaorTxTriVYByYnl8NS5iLwB9L4cBGy32XUjzx/SdwQvu9Eeday3klMAoVUonhCkLVzJAtpms7n082O6VWFvl9acZ0c0gLZFx3kD/22GPT3/vttx+HHHIIj3nMY/jQhz7EwQcfHE5r7HNcjgXNYltNWpd9be7oHd/TNlKx0m4A+d8uc4ceL1uOKSE8UJF0qZdpwzB+DmNCcv+7BeFA6yti8XmFkBL0z7X3g/cikc4+SBawtLqT8HDusibh8BK+M+n1OUNZuLbXlcnOId6HEq69ydmTzLBQHCYrVx4ffmP5cAwPTiwlXjNgUWjx/XcggBKx4LzrrMYx7yq/D0diULwGLSKw7KBxPFZkCzG2Ox7WKR5gSYpiCQiJavCmFYJu8waOlDgkvcf4SiDmVmMetRUgBrV41H3kmog4qdoxG+u4sspXSJn4My/N6nQujueXbb8k4vHzFEdOLcd9hjLI5Z5P1zMi3jGAteTLPx5xMszyxDK2kkzUcLbv9PhYyieq+8cZmG2dgwvi2uU0QDsyveNPRNJ5dKohYsVHXEkCSUCbewrUTZchszbZ53fK12OqK+b1nUMygSfQXaU5vN+H834mqQ+PeHraFWEgBlA+tWP6NrAnjqpf0+vVqFDq2ITOxVpbTPjbGYVaUBQLgh5CueBCR2V/PFMJphSavhAbtumh8yBiUZBFhV0ssEbhssogEW9KZYwKx3ee3elZXGV9OqoMhnLxPVUkIaTvtZPhBueSaDaBN+t8J+N4X/Z8X5iYMo6vIyxyYpoiNsfrit0zsFi2VTs+LREBy9i9HceYewHYMzMz7Lfffnz3u99NupTt7X0W4w1veAObN29OPz/60Y/SeefgI1ZPdnyQlgEnnZRy/M7H8SX7/ndSA9n4G8fIVGod2dHxaxLH5Y4nkknsrDQ2pPFIaRtpfEomtkRIqZQIImx4PGyXW9+rkWdN1Mizg776p7vvdIyatuonvTY+TjIs9N9D2pRj3f4vFs/IuAB2JP6OQF3RussK1ioap6mdxiC+VBjxYAQX2BDDjBqyWi1QBoSlsMmwra9qZmTkXWcxlGJCd+R5+kWdjAzTwgk6c11K+cF98vF5WAMUkXaSSvqE8dK0HIGnvFgLMlKaZnxlmetXoPPa5G1AC4g6k2QGeMgGpBxwpG2yyX+5FYk/uOq+JttmyUAgof9F3kwuDgQ5YIhf/vxmiec6ppjvOJXmufaYXsmAVmfgXA44RFCTVVAlGnA5TQzh5o7XO+ak47lmr4lfCP/5Z468kT0b27fopYPogxZZFVWnn07+fC5ejivxTPjsmu7nQQRkZGAwDeLZ51Zob9neWD9JF54Fi06prggrvjAoRwO25CobKhY8a+I8ACgs0UTNGJWqa0SgsSqlYurFErYWFAtCuRXKrQ498KxE0xfqGaGZ8sDB9Pw+iqGjmnOeaRlAsaC82DC8n1hiXGpDqf3fSjlUEOxSWSh9dZHttecJYYHq4kTgNS/RE0Uc6IFB5U0lrUsMihvVELQj/rksfZhXUSmvGYoVW/ln3lkwRFG6sbiFxaxUPCxuIkCtynvN5w+HQ7797W+zbt061q9fz2677dbpfTYajbjyyivvsfdZr9dj5cqVnZ94m6XvcF72Ht/HMsLvzkJp7HubFlOQ9AtpX9liJU+Fd0B4+N2OxZJ+pzEqX7i6VtuUgEoEAgGExIaBYsLfkckIac+oL9G1//EMXwteVBMeb7o/CeTU7fN5absehv2MnVurjfIgJjd1i+CkCOlUpSyFsgmkR7BSimGN3kpfaga2SmBFiwcsA1cGa3vf9diikj9Knt6pgsh2RkYYp2is8t+h7J7c5v1pux4t9xYP6xSPC3R0J/IbN06azqXyUqDVauSReYykEuGxPG+iqiKFp6RrORwj/+Ll7Exdd/cZAFV77Mg0qA5tGc839rRIuozRyFfzZJUC8bw6bdxz8BUErCkdpbXPpuSsRO4mO6Y5YWzwyAcXoM3Hx2PmVO243ueemI+Qzx7P16frnQPDMbDXGQiz0vME1MI1Re24NI9ohUgsMW6CQ660AC5W5aioUbFtKXtoFJhW3dlnkwSWxqQJDiW+esE5qGsv8OxB1FX45oB+ELZlvM5hkB05mkY6plK257B966t1SpvYFImiQQmMBr6CoLGK4bD0DMqiptiq0EOhWPQApVwM7rNTgukJ9Qo/IBcDWn3KyIMUWwq2JzQrBDvSSGUYjQqKwiDaooCZ3ohR0GlZK+m8bGVxi37gxUo2MbR/OyW+9471VLuZLrIy0CCGDPe2FBrXBNPCnAWIKZmi8OxK7KcELVuZsyhxLBLlP+e6TWGmzzK61Q6Hfv9jPiinnXYaz3ve89hrr724/fbbedvb3saWLVt4+ctfjohwyimn8Pa3v53HPvaxPPaxj+Xtb38709PTnHjiiT/V/dsp+YfEZKT3pXWb9s3eu7+OJAZY0gIijEmjuq1Sy3V+eQl+vG55lGXqEZabVcbrmowMjQ39xeg28CsydqKgU0UTS4RzIayuSemgZE0vUA7bbfMS9dSvKoB7p0galNZ3h1QS78+b1j8FWtAU2Zx4X4aWD0pZsAobWj8AVIVhRW/E6mqBnqpTb51dii3MyIhZVVM7xbwrEhiZt/3UvRh8WmgePCDBm7RZp3wJMv54Et5jSqGPzw1x3jKGsWn1HuNhDVCAVjC5XH41/iMtHZjyyZmYrfNlgZZByB+DNHEk9Xk4rjM2NcvrpB/qptVHxKqd/CTHK2yC+CvP7zrF0nxvZBDilzUOBummaCfiznlHzc34l31s9eNs7DgsQDvoOGMQk62a8lhSDdSyIh0xZxzEcsFxJl72E/fSvHLysokMwjhgylM44gc6R2AUrGvV/zltPBZvectbluTcd91110SNO+c444wzOO+887j77rs56KCDeN/73scv/uIvLru/7Yr4uSRtSRAGB8Or9to5MLZlx4AkrA2lm0lnFCfL7H5LjrQiyQtFRgpVaX9NGz8hq6HD9pQHS7QDqB4JTUyFFM6zEMpR9LyVbK/XpJWaCS3fRRxaObTy1Tv1sPDGVpHSHrV9b2wpNH2oV/jJIo5MsQTZAxZHOedTMaZSNFLQOFCFeJM2ZdHKdWy7dWGwxpckF/2a0JMQUzrUUKEH8f4hVY3GqiZV+4kM7a+zBJ1b8iVSqv2OZPd3SjOXRfv5BvbLmeBr0u+l72nuDSS9yh8nMrghzZxYs/EUdogf//jHvOQlL+HOO+9kl1124eCDD+aLX/xi6m32J3/yJywuLvKqV70q3buXXXbZT+WB4r+juh03svQ1UciaUjEqGwOlUwLcFb3776cja6ooGVMCSxZancVoXnIcAU6MpKlry749E+Eg5CvbFKNnRuI9AbRC8LDLxKzgP1YVwIctwu5iFmtMCxpFrioyMtYDElQLjvSAFpiE0+ucB2B74XjGGyCW2qAEqqJBi2N+VGKtB7sijpHRjGzBSrXIarVAX5rAmBREPUgdUkAAGscatUAplvlQemwQRvhmgV6nUlM7zSYzzcCUIQXmQs+4IIGIlhFjQtnl1vTbioc9QEli2NBnJNpDp86gcSKLk3MecUUd6+UZQ/jRNCzW9kdBadbyG2gnCgilVuFLqVsmQ8hW8DqzeIcsLxs0IWRf/syBErIBKpYjxi9n9p5c/uU0xps9Za3e0wS/HNNBl2HKU1uRgm43bJmQXLmdG8J1wIDNOjA3jV9d5jqLGDquSjOdBBkYTSWabUojsQeRZdIqlDTTfvZx8jC+n48bu7bwIJpdiWoN8kJpvPR6RLOueC0JgtVUyTAKRmy9yn/W9TB9xtaYdl/BSyO937ppy0Ot9SwK7aRsS5UGV+/7IamDsR6B6eGp7+CSKZWf8Hu9htg9NTYnK7RlqqqptL8n5keePXFDjR740uJiHqo5R2+TCcfXRFGhrQBx6Fp8+gmHHlpUI9hC0cwIeiTYRcFojfT8cZoATEQcpbbo/oh5KkwowwQoKkPjBDdSfqCMq9E4VzkPgGJ1j3fNDd/hxoIJ/g514/Uli4NQHVICZTAqU+max+9Z8v7QCjcOHDNxeTISM6T7PFV66QwIjYn0L7roonu+3UR4y1vewlve8pb7cJMuH57tyFMrtk0/ZiXXXd8XP37I1FQ7ZsXUZj72gAfn0Usj11jl2kFI+sKlHlQg+bnEMSF0OZZRjR5ZVK2DD0o7XsaS4zwimyKxPNm1zEo+1uYi66hp8u8dXy0HRO8fnyYMTIzzP51eP6HCbvw4TgUwBejCp3JK7YGIsYqtoxIljiIA9hhb6x63NqvYu7zT607EJk1KXwzTMgD8vTerLHeakk2h9LgUQ4nzgEZgF7UQypUVjyw3suvUHN/pO0xPUVVVMBrsVm+m+9WYxBBuTzz8AUqsYIEuYMj/hxaMQBddj4tNjcGviGxruAZJUCpSdMsKYz8YJeELE748Me+actHhSxyOkRre0TIHsTInF42mUt2M7kxUGXSARHtNAgsRTeey99bZPtLEUUDJ2KAyfp3TNbOd8uGEjtVYs8aya+2fgI8Sn94gfhzSVkvlrFIAfinFFcufR6O2sikOQsuwIs46VJ6vzyt8nO2+pxAPmtlV0yBln6iHAmA47ABQr1vw/V3EhkmReC9GZigTDpZFC6yjf0a4pu39WvuBOoBN1VhcowCLK1Swg/fXS9eOuhRM1a4io9180WuY6tf0yoa68emUXtmk/iBaHFpZaqMZ1iWjhRJZ0OihZ0TKeUcxcF6EG6zAbeFBke255F8Sza6c9n1yikVHtSU08cOnQm1fQ9VQakPyglCWShxqymGd0C8aBk3BFttHdBC5Kucr7hra8k2HN2hzoEP7eCfeYVai/mRYeyAyqltmY1T79Fko93YDmxYGS4C9allSKQrv9pyzgnHsiF4jIn6hogSZnvJ/N4v36X67PyNp/3LNRxy3wmIlid8hfec7qWAXgF7OqEY36RhqbEzL2ZMwRkbbhTj+qKqtwHTGtmOxbZs5xtSmMuBG0FGJB6Bqizad4t+0fy6lgYggJHOaDSxKTI+m8v0AQFCgQ+ow7wae7jvTvj7qpIRwTOPZPFt6bZZqhGakGTWFByNhh70y9m9qGwRWRcOKcsi0GmHCrKNxzEhNTwwzAcgMnFA7xYITlDhmZcTA6QRopmXArLLMWcWCLShDKfLQFN6vpXG4xi+WcNZ/F8Y/M6XItZ33Ftu/5UMwRDJKf0wg5cKqMs+BJgOvTDQaq29Uz6NFF9MjuZgtUx+3joYBCeu2c2PHhjlGXPXH57OKnShSFa2S4VucjKOxTapEyRXqQNKSjBuzRZHraNSuQsIxk9FTLtSNk3vMq8cve5j8lgCgyEZ09Bxtd+Jc0Z+U8+EcpKqyhmeZbiYT8y4Rs+YANAdomQ9CRwQbty1LVL/XZc2ieNrFVMlSDcqDZnaVrYr9NfEul2p6GtXrJdfQxKBFTcmoTgxL7oPjjDcOy/skSf7+I0gJq3oZDJFsJaOHlmK+QQ9sEox6TUw7KPvf/poXpUksyWx/yJqZBXraUGmDdcKgKTw4aQpGIw2LGjUS9EAo5xzVnEUPvUmcE1+1Y/pget5ArZly4X+wWXWNOA9s9MAFUaLgrC87ro1O7EnMw89UI3bq+8l8VX/AzNSQqZkRqm+8sZyjoy2AQLWPbKK/nRbPMMV7CNKiJFZeRUfkaEQoZYFaMdPqHqLIM78f41gQtURlifR7SK/nv3vDYVbh4lqgUnd7Ye2QCAL9VEGTWjbEdLBdMnbk2pslFYDZ4lKqMjPcbLfpmLIlfcvYGDi2SE1jqcm0MCKhdN1XhrUVNCQhqh7REc+mCpp4CtYD+Ai49dC/Xg/bv9NrjAcfuYBWjbrb6tr3fVKZ6DZV/TTt98+fpwv6F+fTOqr1llEZ2BJxFNqwohyxtpoPAlk/npRiKcVSiaV2MG8VxkkAHcKsNMxKQxW+BNYJNYo5q6hRrFI1OyvDGj3PbDlI1X1AO3aNZwni/Hsf4mHNoDhHV6yVazwyAark6Zg8zZCZiSUKdolbabjRc3OgLPeZ2I8wSXTU5ibreJy5Ko47T3qQkqUz8i9vPPeogo8vs94yOK0WFKm7r0RgE96vt9NW7fbhWuUlqoAfKANo66zA47XNhGvjmp42raXTIJ38VzKxXMrRj7Ne0OpMxtkQGdMClWW6XvFYzjo/IafPRAdKN7s/xqqTXNP9sjyoZlfRY0dJ25UZWiarDikwnYGU+L6VSi0JiMxS/ByzlGZMPxCFiOEau9HIf096FVIblBJcqTwV3dhETevaYaJLZki92J5FTzf0yoZKG6bLESvKIUocC03F1lEPJY6y8GzK5rrABM8SPYBya6h+GIVOyjo2LCQJVsH7PPg+JxKcNr1PixoGXctA0D0oBoLdUlADvX4dNC82pZdWVYv0dYNFWGgqZqoCaxUjbb0ZZxAt6lGYUJwLdLsHJeKct7evg/Pu4giGo7RCd6NRGkNEZU3+bMv0RXbLDYbt9yLXfeWibq1a5jPo2yKjxahe+t3YAbHsKdju+DXekiL/e4nANuw0jZVRTzd+oPidycFJ1n8nfQ7pO5AdU9FJO+SNIONhYhol3gO5YDA9Z7OJ2ECqJQupmXif+mNmvlTg92n8vmIbhSUtF4zL7Pa7zyWhrfIaGlE+laPEecu10OF4ZHTacal8dVuhTOhAbILRmkMHkYxB0OIocZTiT8oCfRG01IlZIRyjoqEvrQa5c40C47dkjovvz2+45PFtxcMaoCQGZfzBscoSoM3xxi9OllKIA0KnFDMTpnXSCYzRm87iGp8O8o2QWkFpJ88awYV1aWLPvVkSeMjfT0zJROFZPMc8ZyuCc4ZOL+/4ePwnAJz0eBD1LhEAByFZt1Nz1l8ja7qX3mN2vI7mR1TnMedcC5xUxjrlgGVMj5Leaw5oxga2/H22wMmnr5aMowFEOcJKd+z786CbXdWNF75GRsjZVswKfvIbFwlmbFNH5Nw0qfFjsrePrwnvPVaDpMq3bEXqRLweulKhu7FnNlQN0iM5yCYPFKBXNKztz7Oy9Lnrrbr2g6UT5uuKTQtTDAcldqgptmqqOfFVOwu+3w7WQeF1JraEpg+2dKGMEiRU18QUkHd/dbiR34fp4S3wS6FWmoWyR7HS0i8aCmWZKUasqgbsXM6zaH2qbFRqFuvYPRA6N4m0v2MKCCvtJGTCxClCsrivqpYNgxZsdpjOTLgc3YOB5EGUMbIRXLefsUqP+48qTMJRyL4jIjewhI4AMvpgyBJwkY3Hxnih8XiVH7TFBbkIOLGAsmTSazUnLDshxugUUjjvENz2wQnbiEsOwymNIwTwEbf390DUJ3XmWgXgPHhw/jXtCZDYOr+v/Ln2vAI+8ADFdosFksGgIRm1GStUGnraOyvHUuO4dxVAC4AWy7QYLFCKJ2GMg1JcGgo1UIowF4DYKqXpO8t86EDcF//8wDnmrGLeVYxskV3DcOx8PE/XJxzlPty6D+sUD7D0IsSIE2VcUWcTdFKAJ5FoQLxhAk2r8sxaXKqyLVuOk3ycyG2bRul4r8SunXFiTvoA06Za4o0a9RHxmDEdESMBH9sBHIkRiDqY4DQZ32NkQ1Jr8yAgXWI3PE7BZYNspEmTHiasyLf9kUhL+ab9Zy3XY/opT7n5A7W0cAQnHTarFQmmlEXphZ+qKjufcTLUi9cxpr7GRVv3EA+k2VUCxVFrkouCMzFwp4dF1C1UZboffQow3BtBdJsMqTIKPo/U6sFYpDb+d1hVSljZWR1XjCCNy7qyOorSsGpqwK5Tc+xczVOphhk9ZNfeHOumNtMPQAXAWoUMNMW8tBR37fvaQGAqCnBRi5KVYcZOsbaQ9nyMQw8MeuQoBlAsepCiRoIdaoZ14fPn5YBd+luZ0r7aYLYYMFsMWd1bZEVvmESzrSlbS+/Ha62M8y3kU+8Wm0A8kIljaVOyGYO1pLowMoHhe5/SDjF1GXtgBZY2v0ejpiOlTXek0WBWobMkpbJMg8AO+ABSuXyeslFtP580dpRlO95IZncQtw/6HglVUql/T+N7pMXvQUrzxHRzY9qu1c4DEt9F2/8kvVFgWTo/KTUUNUm0P7ZlBtNrs335fk6+pUPHnTaL1tnWg3EdjpV6VIXncnanUJaebtLioNTGMx3BFwhAY5lVA1YrxXT22hkl9MM9OnSwySoWnGdS5qxjwRpKhJ21ZlYJWgSNMHRBZ4b1bsx45qmTeszkFLFLd2IHtzMe/gAlag/iT5wEs9V6x400UqkdfYRqyztjxDRAYkpcOzlCCwhEpYElCcNUdDdUbRopGrxlq6N2P11GJNdUpNWUbSei+L47g5TN9gct4Emi1IxGDu8vDahZ2XAnHZUdbznnypR/Hk+htBd72Zxw5/nwf0d7kouc42cYQVH8ndilFoylSPn+zGchA57LrcSWiwfS7EqqKtMmie/6HPq7IFlbgrBCj3qluMKMTdciWO7ogbKS1E7ONwfY8dpbP+ljgt29c6iR9QOrw7vJVpI6qaJAaz8gzhRDVhYD1lWbWVdtbq+LLbh7YYqt833MXEkxp4LBWjTICjR2oXwKJ6ZxdJfQsJE50bQgJgIV51mUYiFoUWqBRtE0iqHRNE57DYoeslu1hV3LLeze38RsMaSnG99UULu2s2z4MWXr+SJNC9gkA3Uu6ECSLgTa74/WxE7UCQyXvgO1d5zNvgc5uxUiX/h0Io43kX28j7n8+zM6a8KkoWp1aC7qpbJ08j0yjW7sOsbrkusFnWurojK9WTpupnHzbLdOrHcco1KVn2uFqhF4JAAe3mC6B/LHVNgmAuh8urDh3g56kfj9SR4n4Xf+Wqe9MWJMOcXX5Tb8Eax7oa1rGyhnx26sYr6uWKhLFuoS54Re0dDTDdYJI6MZ2pKBLdlkLVqEBSfMW8W8dcxbn9KZFoIIVlOJMC2gRTA4amfRCCukRImwTlfsqUt21wteg6LpVo8S7uW6nWOB9jPcznhYp3igS7HnKYl80kzahpjLDx4TeQomofLgtZEilB9L/sUJFGZn8M+U5Z3qiU4pcjYpRt0EGmSpoGzc6CZpY0LFTcq/LpfaGdtX/lw8f/JtsjLHNqUSzjeWPcdrnVUPdSjarNY99hJakiLKB6nsGqVVZFGwJKWRMzXZc4nRya93/BzGorNyy/Y9Pl4+qGZXSkAFfwxDy9jBUlZQ6y4lHEqPE5AbjFrxcrg2aRAoS7+daT9vZwwyqv31LgsoFFKoMGJn90mipPHVA1MONdUw3RvRKxqmdM363h2sKbYyijba4rh7NA1AM9ToeUU5511jvaAwsCeuHXxT6iiICW0YkJUh6VNMz5u4iRFvez9wgEUPdRAnCmZR0UwVjBpNIYa1va2sqzaxW7GZvqrZ2KxgczPlNTLakCol4kI+UPgq+KBIZDi11+FIbbo6n/DZuTqk12IrhmUYK39NzdLnE2PoWYX0HY/7z8BOXhkjVRWrQh/0cMalpX5ihgOrImXpqwND0UHn/UGrEcn6waTxJ1+8ZRYAcYzqjKGZniRu01bvtGA9+WHl20uwox+FLtyqLam32pf3+mZ9AQgEINNeAIL+hFSm7ARf/Bk0KA7pvEWg7UkYXou4DtCJx3cKrBJi2b/vh0Vg9PCPh15BURxbBJM2B8yPKqbKOpUZRzZzwfUYOIV2lp2VMC0FNYahs8xbxwDBOGF37V29VqiKBVeHVJCjxjFwIwYOwLDZltxudmJzPdV9r2nhG96YMdgggRAlS7R/9xQPa4DiItWVT+S6nTBbRbnp5vkTtajaCRW6ICVLySSaMfffiAxFHNDj87FULpQdd4S3GVvQ5k7DPsf1J/nfmSmcP7xrB6/IdmQsUcuctO+lA0DoMiIpNRCvQ9yPVqSeZDkjk5UUJwCWXY8INrqfVTvY5491puJtgYs4AGbgKH0O8XVjn3XHM2EZ9me5FNWDaXblVxfDwPZAKieNn1soO13SQypS3MsAs87nHkuOY8T7S4kHxeEaSGNwjfUMgRIcAtrT2FIGFKG8NsT1rL+tra+Q6amGUhpWqwXmXcVje7dRiuGH82uojYahRg0l9dIpFwPlHcCSrXzfHafxCfGoB4jf6zCYQ2RRJN2gfhUpFANLb7P/HjglDKcKFocVjdP0Vc1qvUBf1eyitzCwJdNq5AdzQEqL7TlM31EsSKfUGAh+MASRrIHGwCB4nygV/GnCRBrL4UMKM2l+4thThXLxTJOW9Ffxnojf0Zyljb/rsYaEy93TD1IsaRGRVU523G+z7y7gr1G0KIiLpHGtYOah5PedLfwCEIz/L9G+xMVpWXTGgZRWiOyiUh5EFGAq1epJcC1IoWUyEuuhJN27kekgqmwjqxHGnWjyl8ALJEYygRQbbvQAXHDh9ra0At4IYLQHI7Ec3wk4oxjWBdEQ0ZcW+/JiEzoZx0tfO4VxigVX0HcjNjvHD6ywWvmqHYuiL4bVGnpScqcdUbsRpQg9aSeGEs06VbFgR2gZscXFikJa3ZHW4X20RQmi2vlKlX1Y2L577WENUDzFmlXl4G8yv8K06YuSQEj0I4gXLq+zz2lGWEpDZRNe7kfSMUuLzMZYRQbWpgoZIqugxr6A47Rudj6yzHlJZIEgHa+jmo+sUXY+HUCR3kvUPQSmZOz58WuWzMVcu9LriIbHa9xVPrF2wWPLprj2Oo1X96RrqHCuKzpO28fBPjix5r4sKf2Tv68c2GTxYJpdeXYojlz+/HNQkQTJRUHuaxIrk5wxfhUdz00rn+cNhmzEtFB+D4K3zwd/DZrCa09csHZPO/ODYE5Jp8qFUMa7c2+enYt5VuoBSiyzMuAus4Ktps/dw2kGixXSCKoWn4Jp8Hn5oUPXlqav0+AdPVbSIB3G/nhcV/jUi9UOUyli+a9q/OpVjxx6EXRfkKFP84yMpicNuxd3s0exhWkx1K7g22p3VpYD+lXNFnHYyqZJKrE54LUnhHOyDgKIc8YiU/30PSZU6oRFZffzzVML4CfKoJnymom6/fyJH0s2ziwO2wkfEtvomgbb7CD6BML5ZIxyDhKytI5Y2xYGQFpVj5sw5gAHWjCes7tp/0GnlzQ5ac3YjucRkLg43kTn77zoIURsAhkODK6tohnXeuD8PKIiaFbSuWc6EQB0BB3pPicDQMm0Le4ve20kfOJ3hJZJEROq3BxJS2Ws0Bif1oyMSWP8TkaFd5KtnWa1GjEIB+qLQeOYVZ4xmbOKO4ywSWpKYEA4cPjCGSfMqBF7qQotwpzVDGxJbaNwDKhHfpGe2OAxHaUB58bmunuIhzVAccZAUXbBxBh9miZoG+Bw0Ft0TH+gHSTGdSjLfHk6k99YdJwUoaVn48o3lvHmSURjkMq7UOYAq8MChPeTLPFhie7EOefzsEFH4o2Kuj078lRMe53agcbbw7damc71iMAqMFGd0sFI4ekw28RUUTxODk4iG5SJA9vBrl1hJUfVpKmgw94A3TRTfH36LLrHWZoKGlsJPpihFISe8a5p/EQX0jSJyq9KCHncjhGbUu3nnAlsY7+R5ByrtW8sV2epo6g5qmv/f6/CiWBLnfLhamTRA6Ge1Sk37xSgHaK8Q+WUrumpmlIa9tBbCS18WKUXmSpqrBX0vKLaDOVcyM8bF9wxBVupwJ5ESoR2ooAWGDl8vxTAVLHkWaEH3kdFjUCsxmqhmYZiQWhGBYOmxIbGZrPK0BfBIOxUzDNTrGRFNWLL9IiFxQKU91tx2k8+qQQ0pHjUsEGGsbw4LHiikD4C9vHKwZztUsFdeUznFsEmSnXTe1EAOtVvq3d05klUVUgJzP3Md+FPF4HB7bCbMTUVWJGO1iwuoOKYF+wg0uuzFJEbK15N24BnX/MUc1yp5yHSTQ+Nl7uG8d9qST/+3GjBSWI9WvDilHj2w0YGe5mxIzLc4tOSHR1LfEm2TV5GnEBKAEZ5uXK+f9+s07OaWKGuvfdPPBvvi+LC/GLTc0NTsMVO8ROzAusUI6dZrRd8+bAaMas8mzLnBI1j4BSWtrxYiWNGGkrgdjOPcQ6D799jw0k7Jd5YclS3bFVi0jK2//8n729Dbcuu82DwGXOuj733uefeW1WSqlR2OVGMzAu2SAcH7Cg/7BB/YHCCccAk/tEmmBeBICBsIRD+I4ORwCG2wfmABIMUO4q7ofEP/2hii7fbIYhAohCI3Wm380ZxJL0ql1R1P8495+y91ppz9I/xMcda55Rc5S7V7cILHdW5Z6+99tprzTXnM57xjGfgzwlAcRbCnEFjxYLT5ZYesbp5XqcqSm09M0I0TsCtAMRyoZ7WMRGnnxTdSl2+XtWL06LM64V6m2qywexposaMOG3ZdeIF0nVATqClSI8XZvFQmKYbTJB8Zhg8EawktLRKqeBlbuJOAwbGhGzcMg0EucAzRFEOKozhuu06e0Skav55vjERWuWE0Ymr/LyxWpuFg5el3d+nKjSkBtpKke9oAm9P8VS5j/Ha5gyK5an2fcyRVEFJZA/dh8ON+tTlcRzl+NOMfJ1Qzga3vecsOfQyyk8dGDQU7Hcz7o1H3O+vcUgTnkuX+LZuDwD40lLxR9fvwVcv7qI+6dEftUyZpbqBFokel/sdprMUPE7gNt+pEEpmwbgLAI1QqbKbtcm4FC1LGbMzLdLfh8AnNWxTz4cdibgvg90VM4ExdAVXHa97rMQUDwHIhLrvkY+z3p/QAR3wKh43Q9RqOVINRr26WqVvb+gr1NSK0ZgDzDN4Rkv1Aa383ADsUwTXXOq6hBaQ5+y2eQ8IACO3eVN1fD4vx+Mz3zxGCEpWaaMYQEWt2Sbt7aJaTx0RrLWC6UwQynPt2LFJpn+MCVt5s6+ligjSEZwb8AFtjufnr5+tFUG+fthhg++Kvc/PhYFaEhZ1cravFiUe2VM48uLMGYUTBiqYOeMIYSQLhDWZtQngQBUXtRePFH1uCkwwy7iowtZUJD/2+tK1oHkNYunN4JN3OEDpMsgj85ab9DtlAllbuAKaNvrRaXQAVZ0bKYhoXbcRRatF6/i5ld/SMDj96rnQnAUshP2Q0u29akIKxQCT05gI7+97HdOBnVCQQ+MgEfPQy7n2FbR0ojOospBzMA2jnD3SbnRp9mN6WgXKkHT92pIbWH0fKR2UVI4o62+fRKPA9rayRAqiwEhv++caKteJP4KhKNrdOhfafYLR7k8PnzTjPwMXIe3kFufaT8dN1wB/zVI8AkoSVhVelQFoSi3D0wn1eEIa+uZcOk/gKzSAWRk8ZnBHKGMSd9eR2iQKmfC6VLFLM76tfxV/qT/ixBlfKwuAA+7kk5CVhcQlc9HGe4uKY/VZzLMCDRIiiRYAmrEyx858Ehv6dtGENmdilF0DUSZqFddNmQCnkvFo2eOyjijMqFTxl4cn+MryBACkwVqqoK6iDozlAJQdgS+kmomJkIqkddJpAc2tZNXnAXvmzEAtNEqLTUjl3FlSQzGd60BzCl2Pud2fMFa4FKT9TuaTZQFfv7lyzbdyc0wQvt+t2q/NvwF99rcAJFbtlTB/2DFW8Z/6PiGv52QDR8EzZaXbgrGt9lkxtYNWHaMpQwcu8XvbbUvyJpYvBBB5Wwb/nsr+UWnMielPVse134mkYacdm/S6GBDSdBOjMTLyPg38tB9WKUnYy1yRkpQd5yTmbVXZkT7NuEsnTEgAA0cW1+ekX7Cnil4Bifwufz9yxsyMAxVc8ho6UFXGp4ZqzKgRihrOPy8ARYCDfmlbyKyMzAYlJKJ2O+qgonfAYIO7MlbdhENVxKqVuG4rgVspjZ1JuDXtYCWizupAgVIwJnKwUBqAamK5tAEHoUuzeids6UzuIEzKjWtHq2PHipsmQq0u5k0xKg/fq7k55hWLZd8pllqurteyeOm02eBvbZA9NRYiJ7cjJzMi03NOCBVOYbI0VogCYErpxsT5tm85g/pxXY5qwASQPi66n4EUy+3S0CvAMmfeKn+jNj4kKq1t8s4Z6ezQPseZMr2+LCW0lk5JQ8KykxnROhhTZixV9B3HKotoArCnAeep4OXTfXz1dA/HqQcWBQ+LRZUkZcKktvaDMDO+OFjOnWSyY2LUXtKGZnwFyLks+4TaMcbHxcsbJTUjCwIq4eo04OFywMNywP9RBvwlWvCwVuxoxv3+CveHPR70e6TM0pZpbpGddLkVKp0KQJOVFev4nGcHESaYjc9FGsc2pzA3UKmtNxyEUoIm5b1yziN8Te/5M0WSJrIxQYfDU6viQUrSZyacL5fqz1f0IZL9Nyv9at6Az+EMlkCoj4tZ0LkYixKZR0spWZ+dsK+lkrbHYfOaQQMmLr5WNs//xlgzJQztV6WnXptwVf6tY8eui/Z7cuYEIeUTsszyujwbyYAKwc0K5eCBQawAKikZ1dalWgm1ZqTEKCWBiHGijMt5xKNywCUPuE9XmFQUO6DiyJ1U4AEYUHFVO2VLCLvAKVUmXHGPC8B7+hROkuJRAIXUmET3tLFtww69ke2dDVCA21E0GsXktKvvTs5WOLsSSge9F85WUEqWIwXc/dO2tF0Y4CM4tp2OniS2bSOOLetgC/kKILwOjcrqJupbDtdFXUqjzbQBsdiN1Bd105mY5kTPZdVO3gBOKP0z1sOqEVaVQ/GzKIF6mXSt/9FqYjMdjN1bn7BCVGopPcs7K6NCNg6icJe1X0VMMT3NbZ7By3WLlmttQst43gawgiDYBbMBlJsvyupaxQnB9g/XrjFSFVgK0lRQ+qw275LvLjtgORO/kK4reO7sCi+dPcS3ja8ioeJRZVzxFf7f0zN4tdwRwZxuJgxMBdqNmLHs1Tm2k8UfJCAnLYBiHnA2MaCYu3kvkgqPIjkByy6hf1LQzwXzHQlhja6vTJhrxkAFPVW8VqtHfT0VjEms+lMuWDr5fmSLBuCW41sdAOUERu+/N00BtcXSnyubEwqwcGNOtVvvSjMUK036TvL4QGMC9DngeREgeksn7rdrk/RyrDJMosEhEjYJ2/RKmON0frqh2fHnXJnYurTAQrVtNpdyKbropza+V3PFZo61AoYq7E2u0kKhDLQCFqTku7vHqu4EkDGYCq/YHEnl6PdSHxOv9uFmrCY7KEhPwioSGpsiKSOZj1OxdJBeus35Wcl/1c9dpoxatEoGQFVhrP2NaxZ2BYQ7+Yh35wsMqHhY97gCsKMZiapIWjihEGNHBSMYMxKOnLGj4mZsAHBIM3pUXHGHTBUdVelrBfg6Y8JxF/JHuUK9JWB+ne2dD1AsZxvFVLEsN+oPjBlBADBRdGUPz6Y01xZbtv11sbshwtTPjp8n4tEqKSijvLwNt4KYAI4a2KqegiAr6TXRnW0bzxGzYV5dm60/i/m6RG+Sft2huXkcaNQWmlHFa+cTsTM9eu7zvBYrR5CixyWiFXCUa5da+gp5BSbhepm1RifSiUxhotxuZt6k5yMGT0/PS0Jy9rbIbdJRxtx5N+pw7qYVUrBhuhLqO616pDUro9oIXzALVrocAqTD8ZQlNVgZ6VSQ5oza6XkQgJ4xjgvuDUfc7a5ROSFTxat1xDnNyFTxYDnDpBOiR5gLkKcKqkDtCctOrPRjdYObtG0xo95GYUXWLIo70GYCrC29vW0hHE89Hkx7fGl+Fuf5Gs+lSzybj3guP8Ehn3DWnXA+nLDfzXg8jqh9QhnFcl80LhW0VNBxAV2fwNfXwqKgMVAuPlaGamV5b4xmYAC9T0/UQthzF8Ajm8gw2r1vdFQ3np23caMuizIhplqDJYM/27d0rV0J9KM1AtD0YYMVPqzZYBpHuDZta62ggRNZCsy0aVg/A9R34Jy8EaafVybUBE3VkKcZDRhL6wf5W03qekzrMVk78foBYeXEDDSwTtw+y63ybShkaowNQyQE2RiTxmbWDnoihDpnqcwjYUsoAXVOoFxBSOBKKIWw1ISZMy7qDi/mC+xIAPCRe5Tw8GRmXFLFrF2M76drXNQBR+7VUuCEV+selRN6zb9WpUFrFvBNJOAx7XeeWQBaAE798Ibt7t/5ACUqxnXg+mClUK7m6Zp6U6sQKkgiKIkgxXPMFqUb+EltobfNP88FsLWdT8L6od5uNnGZ8Be4UZmEvgfNGqnoZ5NWBzkYKQWe5O+ymqAt4LS0zw0PeQRbK5ZD9Q7pdazhb+SY3ayq5XtXaRqjXW2BTIFx0b+v85UtL40urkK0Nl+KKT7Ttmz7J22u5dNM8wgdbZRB0DYA64XONh1HEZyIyHv27+sgZLMAQjUmlFRnYveD9Bhm2lYK0lxQU9capkEn6qHgbJzwzHiFZ/orjGnGjmbsqOAP5/fg1eUOXlvOcLUMqJXEoVWrUaUck8W/YbNmWWonzUL4cQa4EmrH68k9Q2Q1BlQ0kixjkq7ISr3bmlZLwqNpjwfzGV7t7qDvCu6lE87TES/1r2GuHb5+uiPt6fVcLSr1712qGNpZitTYWKWv3ffI9VIhpVnRgGWgvAG0eSVqrQLY9Eo2u9fYmLslAsotIPxt2ngpQAqOxLpFRmjViThEz3I9sJ63dR8XEm8ZbztO0KD5nBHYQkt7+vviFtLsaSlqPw+Q9mRi0pRkYNFMR2K6EPcvYTViQwMeXkLcCWNo/j2WwpRydd23k9eNnYkpJB/nMFYODpagnwcWEE5FUqGeJmICF4AXApcM6iooMbgmXM89npQdAOBr9YAM05ssAHeY9EHU0HB16Xa0oNcv9HK5g5k7BziFE5aaXAvGtj6l4oLx1ZYSUN64fuqdD1CADXOyoQ4rA33TnNxWs75lVm4VdoW/32BOQlrB9vHyw5hyiSWwdi6xPNfo/kjxb5To8VxXWpZtrm/DHsnntYome79XCG0i72YCl0AZYeINepqgWXHQtalxj8DDrpVPKjYJGxMEwMqg4+d4XjreD1tgrZIoApSQYjIGydM+BmAANBe6p7M5e8LNBM+vl95P0y3Yt3etUwQxdq+Dlsdbniszw9Pcrle8drZphQrK0KoaCKgDUEZGNxTs+xn7POM9/WN8S/8ajtzjYtnj1eUO/j/HF/DV4118/eoMZckCTDqZsGsGUtKSYrKJTKJMKoIplk5TPIbPuf0OhEVDgQlVIIH0d8ndu5dJx5J7Xzo8XA74+nIXVZFLpoqeCp7vH+HB/oCvXt3Fq0NB7Ttw11gZN+UygOzPfuhtBdyo+Iudze11YUOLLILDAFJfm21gFUvsfWzE11djJ+NpbjfAfRADbyvnbuyjmwOMoMe7UVm3KVCwwMMtEWKX+XiNMrVgzwIYLd/mvnP32BrnFXscDJRQY1CcvRjQyqWN7fAvJACj3LLGOCtSFYRn+DPmbrUuqMXKIHylWdHPAQFi8doqjyhZzkgQEZfkDH5lwoP5gK/Mz+AsTdilCWc0YeKMGRmz5qrO0zUAyL9pwZE7F88CkhKSSrgFF3WPi7rDEtK6MV25Ko2P9/pNTLvvbICSs9xJi9qRm1DLBj2wWhxdQR4W5KhXcfbBNhM9mT+JMQnxQVwJYhUQ6XE8dRIQvd0sAnSm7doiEyYtF/Eq22IVNf7AxknQJjNbfFT0yFkWJOvxEauJ5LnYpI1sc2EuwdItrA+6VyhwRQtZdSBaeawfZzNZ3cZaRJO4lByw2HEphTSbNWi0bsyvw4K4Xsg+85ayb75tEn0bN2E9NJrOSWKyyisxJADcEPXaudu9tn2smiuCkzje7Tpsxc6lSJpnXsQxlQaUMUmuuwd4YFBi7LsZzw+P8Z7uMQDg5eU+HpYDHi0H/PHVs3j1eIarSXqBcFdRO6m0kbTOxgDLTksnbJuozXLcOxrrxJ2ntlCYURZYwA/vkjcVBEl0WUrCcenwP548i1Pp8O2HryGh4n6+QqaKTBVjWnA+nDDuZlyPPWovwuCyk8WN5qIVcLWN99tYT78vAXBwagFFRbtP2wXYGK5EoNS18V0qUIPmK9xHSt1NgPB2btH2wP4NnSMjo7J5vnyeNfYzsqQW2Jk2cPts2li+IbhVpnnT8kN0EBXbNFBjqAWIbqtvtpuxd65PimOYGh5YHYNaDGjH2B4TeizbHwCKXdPSPs+Dhfhe+zcDWDRQSQwuMv6RWRg2kusVh8rMHWYuyNzhEoDNkkkZlZk79LTgkE7IqDhyL88cVQwoKBAPlZ4WTJxxWUcsbKngFuSvrvltLMob3N7ZAAVoqQLLyUfAoZujuJgKkBfahLFVjQPrycgWUVsIDKjEBTikLywPB2C10KTAfniKJRrCaaRL4Xzc8Kag5baZV06i8gXXCzZbDptUZAa4iHWVBrBrEUGTCVDDedqiSaVzoaZfVzXB8zJk3kSRIV9NQcXvnaDtPlk1QxDjukh3A95WJYThGlu0GgWi5htzg/p9ipt5l4i+KXRjdvdes09f2v2ycmADG1sRbLxnUOYMcIGz/80AsYGZysCi96Yjz3ULK8Ho+4K7wxHPdpdIqOhRcJZO+Npyjj+6eg+ulgGnpRNwwgC0umE5QHQoJ0Ke2e+LUcK1I6BCyoQLCQ5IDFQKIkK9YAxQZRcOcg+3oy8Dmi6gEuqccD31eNKN+BM6x3kvYqP7+yv8xe5VvEwz/iTfwy7PXgVRBhFP+gIyL+DrI/jqenXPiCsQmdbaRPNsqdWYNgZk3giR5apaB/Lc0zgKW2ki/OAs7BVeNqfMGwPGt3MzoLYFC0BLx74eWxKZVPt9Bb55ncrV16O4X/7EgUEMTJMdY7tVdRzXINXTMikADgSwwXAR96pfjk5J/glxfKLhFK+0if8ujZlZNR4MX9fBO7dzkfGz2a8KiK9ZX7cTSpA8lYNilv+pw2ymikQVhROADj2dACQnNRIqQmiHpHqUwtlZyBkZJeiDvIoHcAaQl6VhtnjftwD9T9ne2QClFDA3cdlq8YmqYWCVAokK+22O80YnUVsMbWCGkuAtVe45WNPCJJLmWV0n/iRa+oYug/sMa+CGLjn6TKdZI10GzYvoA4yNCbSyn7tFBV0G9/I5dW+pItGmMADqsuhINoCM7HvrhEfDIOfbqWgyJ6kgsPNU6pSsPwnrwraE35nBx6Pk7y23ztxMrhJ5+bJcxwqi7oZeyKuagiEco+2zTjcFJiuk2rxkuxTRYGzTGk9p41LAWJr/RXxtXmQRVxAcAcsKnKgGAsBqYkBV88GgyZIDc6NZLW2p5cjmZIxpRr5eQNyrEJWBoWLsZ5zlCUXdWe+mIx4uB/yP47twXXpMJePiOGKaOhHpaTRXeiCNFvYJSAHCBG1rfK8+EQXyXm70ui0QtQPSQk6FW5XNfCAse8J8Juko7uWgp1OHJ3lAIsYrx3PcySdc1D2ABzikE97VXeBef5TGgSTHNo1LulbvE3MzNk+aKECOzKv+1zyMIjvnVLe+3+5VHH8r4a0J8vv+hn4OVSr1aDc+PYG3zjkOyuwmeko43YySg6CdS/UqnpXfkV2PoMey7YYuDdBnugV4fj4JcJG9n/NNMOXsh3wJ/aA1YHHTPhuvFvMxFASE9wTRK5MyfbqP+6LomHdDN4JX/USQwQpe/FwNSNmQqcIUorCek9EwEPYknD+XhKVIObCYsBVhQVBRkbxkGIBWvS04co8ZGTuaBZBwQqaCRBU9F1ROqEjIkPQRMW7629i20Xjiz4uTLICVINY2j5ZNkAU0M6xa19USocplRZvqokHUNWYB8IHuordQGYJxVCfXDO4yeBxQ9z3m8wHTvQ7LnrCMhOVAqAO8YsD7fyxAdwXQwuiugfGion+8oLtakJ+cQItGbl0CmzW5grM6ZpQ+iYX4zgAUtJU4o7veg+aq/RwUADGAWpGuBQRxn7Gc7zDf6bCcZcx7wnQu58sdxLcCtoiIYj2fGN2VdKntryq6y4L+YkJ6cpTmXksBHU/g43HFTlHfonwxokjrlI1d261eIkStEbisqpUQgIk+qWSMkFUZTFOLvJ7GxuzsCUUBcgreARaJBkH1SgeVCBgO4MsrOZ6BE2OkjHnJScBZlvYB5jjbxNoK4NRIrHZSaVOzsBTUV2Tt+VE54d35AgDw2nIHXz/dwZcu7uN66rHUhFoSUKnNQUlKlWuvkzDUCAvwyR0aXaYClA4ybuf2XBhosDJjKlqmWYH5DmE+J8x3IKWOCfLZ2udkLhmPjyMO/R6Px522nBfn254WPDtc4t7+iIeHM3WllWoE7tcaD768cobQqlQ4lH5Tzu26Lss6ALKAYje6tkQYrZAeNTC538H9TwKId13Rto/PU9goJ9FhxNJge82a+cUtaNTEpr/359fZVLf0D8+kza02X4cgxO9D9GEC2jE38/nK+woGCgIQCZv76RiToh9hVThyAAS6BEi1AZtqLEkgvEjBDetYZvtsgtz3TUqIakt3GrBx0bhqucwnBUyS1iEAS0BXBAkGAZxm6cWzoxkHOqHwXtM9neqyFhSzwE/XuKh70adQ526yO5K+W0MquOQBx9rjou4w1yzP6MLrgCgwJ34vSrm9d9HrbO9sgFIr0FlDtTAYI6V0mxgwvh8AAsixkllnTFjL1WKzv3Cc6BwrCy2BuyzW4vsey1mP+TzjeD/h9IxMpMuZdFDlXQGGim4sYCaUY0a66NA9IYwPtF9J32PoEwYipEk+s3YJVSdTz90PCcteGI6iYkNRprN4TAyEfGRhPgz5A8jH4gOp7HvMd3tMdzNOdwnTPcJ0nzHfqeDzBf1BKOr5agAKgY4J3UVCf0EYLgjLE0K/k3Pql+ppViJ5UmkYpOeMRvG2QLu3gUf0WEdhymxR34kI9Hiym9Oufbinq4aNseuzvW6TXJ+xbVX0dm202yFxVoMrBRvzIgzdbmyah4LGmuj5rwSSRKDd2NICBk6MCbTyZSI1CUyuUaFSxO7emhHOC+go93gZSYBFJwLZF+88xnt3j/Cu7jEu6g47mnHkHvssF5CZ0OeCMixYLnvko5jnLWcM7KVHTj2KW6bn6I0lKdCmbeRt7peDvJYmKNC2feC6lWVHWHbkgsPaQSLLQuBCKHPGnBjLkvH1fIZvOTzCVR29PPKqjng473FcOnAl18LUDvKsLUWqm7i69wmABpxzbqmXrgNdH/1ai7PzKGDFRM2U2pg3bZmDm1nLa2tgWeT++b8rwxWGT1MkW6surOt+PAAaODGBOuzPmmqcJk9Nx6aejencGKeb4N/m9K13ChsiaMwMB+HsKrWUdB4g0sANQI/VgmnlwdatOLY+sHRLWlpgGYHDKl1UsUrX+OudYOf4WjLgEQA5dJ/WDFEAvAe0+rlpJnDW3jsGZkpqviRJwJjZRJylE87SCRXJdScXdY/H5Y7/7f9YnsH9fIWJMy7qHj0tGKjgYT3gfrrCkaVtxLP5CSbOOOun1iOIK3ia1nMw0OaznEGZgGZo/g23tzyE/MQnPgEr07WfF154wV9nZnziE5/Aiy++iP1+j+///u/HH/zBH/zZP1AfYOvwatEgF71QywI+nlr+dxgaZWriUcvPa1ngDQEahYEOwP1EzIMiK21uwiwWiOwmPIDTfLVn1EFa19OuYDybMIwzun4B9RXcs+f/q6m9I9VHEAYlkftB+GsKTqwKwfOdGWoRDngPCtiEz86eQJG5OSOaIRAPFakvSImRM6Pfz8iHBazfpQ6iATBVfO2TjCxbMG0Bts3U+rW5bPp1T9QWTJ2QfIK3vHVgjjy9p2WNKzO8CFLi5ypNfyOd9zZufDy2kner8jCh4DTL34xZ6Tv5fgqQfVybRmKaW2S4Vc3rPXDxrFX02DNzfd0AXy+pvXxcMFxWYTE6oOuF2q06yRUQXinn+Pp8jv/55Bk8eHLAo0cHPHx4huOTESiaGiIBONB8vDtnhkk7zbJQmK7EXssnYVEAuA+FVDKQlisLq7ccgNN9xny3upgxHQk0JdQ5Y7oacHwy4OHjA/7rg+fxP0/P4uXlvooBC+52Rzx/eIKze0eUHWuVhjxnqBXQ1hCrEmFLtZYCPp3kHjy5bGJWA+C6n6WHeFGAOAyiNwmBFe13bR89tqd1g26NTdv1FAXezFCWSEAx9V27PmbFADRAYc9w13mriej9tC2h9pL7WEFVK+o0o05zq6JS9pRy8v82XUtdpUMtzStNG5OXlRtbkWb5ySfG8ISRT3DNiJXC09KYvVhV1lxfbazahWr/dkBegO4YGBrdDwrU/RpblQ+vj2lalsjuSMdw+UmTzoe2vzEtxKiccFlH/I/53ZhUU/KwHnDkHrs048XuAb6tfw0vdg9ci2IeKQkVE2e8Us7xSjnHJQ+44hEzd0jgpt3R9h1y/7n91wLFylKm/ga3bwqD8p3f+Z343Oc+5//OYQD+4i/+In7pl34Jn/70p/Ed3/Ed+IVf+AX84A/+IP7wD/8Q5+fnb+pzmAEuy4oifz11u3mFMNCQvwm69G+2SQ+dNU0ZJ4qVTbNtKXmTPgMyxngYSHHld2YgMVLHsHbZzIRuWDAPGZySPDyd1rkzYGWIPHSN4tsu0rXxjl6fz8Ki2ENUMwGZkKeqzobyg8pK0QEr+pIgPX0S0HVVA5bGMDWwo6eywCdpTklo/S4DKYNLgM1VriEv1YFHZFDcDI+aIDZWBawWYAOnBjDnpeXFoxeKsTNvQkX+zdpkDM0tMjeWQ3/neQbtoEB49oWgVWtpCkDLWD2dE7UMMR2mlV603wFJwDQldSi1KF2NQLhLWEbyiXmZxSp7Du1XZ+5wXXo8OO4xTZ0DDl4kkhNfEgXbYJQd1BacdJI2wCHvs8Wg9jI5pxnu/1A7oAwk76nsJaLLjpwG5wxwx74IoFArwSR2cGUNBI/cS56dpQdJrWKpjyqLFDFaqXdpC+HKxdc6kFvqYljbBPDx5AvkKsWQs5q+NC1F1Iat+kfF9J+VIqcETE9PP0UET5l76oaoMSmbQgR3cg3Or7eWSVtgETQ9DlRyRtqpbmVZJPUetFWRjWlsUzhnnZcpZ9XMKRNiQnDDxzGNQ21ek/Nr+/k+nnZBq/ax91max6YiBelWOcQ6jcfPpEU/VxtlIgAcJiCxpEypAPkogUDzG9LTXACwmsmx+g+pm+zXlnMc0glXdcQcENFVHXGsPQbVmZgW5YXu2suQEyqu6ohJU0UPywFfX85xvfTteiQCeMNqZwLQWsjcllZ7ve2bAlC6rluxJrYxM37lV34FP/dzP4cf//EfBwB85jOfwfPPP4/Pfvaz+NCHPvSmPsdz60BbxOy/lguNOS+bOLgtXivnV9Ou6L5b0aYbBFlfmaALIEv/GINiaQQT6UaqEJABWoFlSUhJbMSXxUJArFgTz1W6KRFiuXvbrwB5Bop5Nt92zSqrLTP7sTknKUmOQIrbZ7j+qiSkZNocvWYKuGpPYbHhtjgSyTWxyDCyUGGSsvJCAoDUrXVFtoiqHmV1T+xam3DUIinbojbF7qdXfj09oJIOe6CkxvTof3kOQNgbR1rrBQgfHPUoW0fRUAUFQFKNxiDatQBcKwHAUxW0G8G7AbVLTi/XseLOfsL5cEQiVu+DI15e7uFPTndRKiGlilI6yX8vJFU0vQwgmwNtUl1Fpc6IACJS1Ul2gYNkcaJlfx9VDSyTaKLKLpSk27jtIDn5CgAE6hnjOKNLFU/KiC9Pz+Fbh1fl8lDBVDuJMEd59spAKLsOqe+A/U5SN2Y6FXw7+HhqaR5AUnSb6irvMD4v7V5zBZba0nt63240jbRKIRM9A2Kl0HehJvUpbEnSVT7DeBWjghTTjdm5E4FNBFsA6d68bi5IOYfqvjaprUXCAcgBfvwbQWnQ9LjDdGhLIOenx9fHLaZsrHrNRK6rNgsGBCyFgwZIDIAknevNJ9NxfQA+lrZ0hsTm2yR/r1k+I4XP8GuyMNIiAMTnaj0+6fGpQp6jSqAsQcZcMw7phF2acVH2OM/iCL2j2f1PruoolvdgqeBRgaxt5/kaF2WPqzp6imiqWa6jahtXa08Akd5i5E1g62/KDP1Hf/RHePHFF/G+970Pf/fv/l389//+3wEAX/ziF/Hyyy/jh37oh3zfcRzxfd/3ffj85z//usc7nU54/Pjx6qd9g02eMy6McfAbGt+W1+rGzB6VuoVzrJgw4ZUJ4LZ2zaFiyB8caumU9STaPj8lYVFqvXkrVvXzDP8+DiQKNwaEGxhy8mADiCyv2RC9gRRuyJfRAIyxPSo4rJU0zVNVZa4OnKE3RLgZ8l/LRQYNiAvkLPVAdCOiWqUsjMpdRZN19eOTVyxtDmNj3dgxpHye1mZgWVMuq5QTmzeKsh5Df4MldCo9lLhSADY3rNaj4ZWlwmK0CkhaYuxRdtldLm0sTbXDUkW1P3HGVR1QmbDrF7nVUwLNSSy5KyStw5CqG62OqQOj9sByJn1QABl7ziwqcKlBF2BpQ7H8JtcIlFGE5m4FvtiKAylTJsj5nBJ4lpb0h35C5YSLssNVFcW3MSu1Jpj+RM4hgUcVdPZdS1VaybzasrvQ3v7mbFS4l1rN5hvpAm/31DQmIVVyo8LMJv9bTNve9s3T6MXnym+YLjXmQsfzSlQbqoEk0Kir7+fzr+l6vFKyjWc/xvbaqG/VqupSPlTmy1VRBJoeqqwZvG2psbOFMYCz+TUw0B5Yxh+0170CyMYwN6Di79cfe20lGI/nrowQKejh7WfarUNSAJLw2nIHl3XEkXsvIZ6UUexpwcwdLqukcQonZRxlzB7SCVkXkkRath0AYNTArebk+N83sL3lAOV7vud78C//5b/Ev/k3/wb/4l/8C7z88sv44Ac/iFdffRUvv/wyAOD5559fvef555/3127bPvWpT+HevXv+89JLL8kLETgE1Xa0WXYtg4mtdPOcZfi3aSVWTq1bMGMXnGt7mCJY6XJ7gKJWJAIEo6AB5CxmXbWSV0BsaURhKWhVtWODNM3aM6Qyou5EmlUZW6LnzmjRdyLUnLzDrFX1uG5m9WBZxA7Ms1HVaFFIzJH6QxpYJXtDYJaiZujGZve0bCYrjfhXLpxhczM6S9/5C7yZCKlNmE9p41K8RNgmURp6iZRzRhrHlr6Z5hUwNrDm41zL1x1Yp+Z2yvOymuBto82zICclPiXs5eSy8F8fe1xMIx4ve7y23MGXp+fwynQXiRhDLiBiIDFoItBkx5Kf2nHLmwPN/M3GqY2dkKNPE1YTcOyHAojeadkLexJz8aTpJQEnhHyZkK8SUARYP5lGvHw8x4PloBNvxswZp9KhLAlQGr1mQhnl+ZUPLI09AVpVjjFPNnfYHNP3DbjY9Q1up9ZLh6dp7WcSe/vU5lZrJeNRM/fUt+Cz09yizeF4EwBEcas+eytmxFI0AMxF1/cxrV8A1G/Iy2gD4hzoyEmvX9vMY6lsAAACcwK0ztnGotgPwu/15k8sTgBvfhD+HoCOB5QbUHQzeNXfqb0P0PcvQFkSrkuPyzriso5udQ8AhQnH2iNTFZdZmjFQQaaKysmfk1kt8QWcVFyUHWbOAvIjGAqVO74u/xmDwbc8xfMjP/Ij/vsHPvAB/LW/9tfw7d/+7fjMZz6D7/3e7wWAGwPsNnO1uH384x/Hz/zMz/i/Hz9+jJdeeglcGOwro4hwVg33LG8fty0laA+VpRdc4MXBfyLOlkEDAKxRe0gl4LYF1L6irweSG0xJrLlrIZhBlaB5bg+BfhaVijRJhY+b/BiLArTBGj9r+xDYuRC8ll1PaP0ejShMdt51FdbG2y+HRhzeHG7F2tAaGLrINblIlhM2Ijm9dyqscr8U74DcOUiLHgqEBmD8uPpZW88bqpvv+zS2lADKjc0osblZCgua8Mn2PRslnlyT4K6ysSwz0tnKVHmaQqN1sEbxBtRTQt11WA4Jy07uaXeZMF8NeHJnFM3JcsCYFpxqJx2BUxGjs0LIJwEIhZR503Esi76ezshIE6GMhDQDnVZTeOsCoJlc2a0P0WvtgLJT9sQumKUWlblBUQv9BSoyZ6RUcWc44Z4atj1aDgCAh/MeD6/3mI8duusEJBHeln1COfSS5rEKNNtKkZRFolXqJ4LeldOv7XtsvbzivbFScO9jM/RNL2XgBhAgCOj9HIDLNz/s3rLNQH6c80oBkoq5NwzQao6PzJ3NBfr3FUuqn2OstrmSemVlEJa/HqvkVUZc5Z6xtcm4bWf4nLoSdAPN2RUtheNVNsaEGAti00tq+9nxXXBbsJ4rA6uy6kFlQS3rqcTPI9mJwO2c0QCNBQWJCWVKOJYOp9ojp4pdmr06Z2IxXiuccJ5EcwKIrf1EGcfae4VPT+KV8rjuxGU2nj8D3ql4Y5on10a/8JYd/AbbN73M+OzsDB/4wAfwR3/0R/ixH/sxAMDLL7+M9773vb7PK6+8coNVids4jhjH8eYLmtq4sYXI3NTj8UGIA933Mc1JnDxCzrn5nlgaKQixTEMASEqjVsn/KbMBBCQMG9T22fIUyHN+86mRwbZ+CK2zJgA3Tts+cJyEiUkLrx4aR+MUUbaxJ+QPmryw/i8RY+xnXFedrBPLAxOcBFua6XaQ5t+LCMxFFuCMBgJjNU/VluGLMQ0BvAAy6cTTtHvQ32RGVroV6Oe9gUDsm7VJ5UF3w5TNAXApQO6BTCCEVIB17tb9t348lu/fml+tPX7Ye0XxsoA4gfZ78N0zLOc9TucJy14uTpoBHBOOc4erpcfjRRqO9Tqg+izVXeZeKf44LRWzEhzqhF5HYDkD8gSUaj10wv617eulmEuLQMsIT+8Yve0LRZUJmwohzYSSGOgYQ1ewyzNOtUNXejygg+tPTksGThnpJMcrO8K8J/SHDl0XQB/QUmfL4l2HfZz73FEbIIyCV+04vWLvrGIN0Py9pTkCuN6CUgDIT88hgpciHWm3HheU3MjS51Ibl1vtCODByxb8eerGrq2BPWOVSBDsiindVo7EBVIDndQF1twWcR1vkSEh/b8tULAXvfonsBorNhACyFev63G1wr0xNAZC0IC4i75Vh+IBYAJgdR3h3Nv8L27MnLhVAelxkSQVk6giEYuuRFAeBhIL+4dFQHsmxlmSgoaBCiolXNYOEzrsMONx3WHmDu/uLpDBGLN8qTSrRELnF+q7FsjXoDt6E1U83xQNStxOpxP+63/9r3jve9+L973vfXjhhRfwu7/7u/76NE34vd/7PXzwgx/8s31ATHtYFKIDfGVqZTRjeD3mLW2wGyV+wwY+bCta0x4Q1sklRq5hi2Vp/rciAsOUJM3T9QXoqg8wAxnb7+vlwmmtiN46+ckkT45eV7S5TfyzpanWFJynphRMEWA6Tmd8fF81yFoBmwgG9Nq4EZuBw9xayseKgPhdJf0RJnNWxiu40TqV+Dqpn0ZBhxL0Py1v/k3eOLiUrv6+LFK6agJYqxjj9t1Ixd9WsopeUkPUbcXFjXWhrGxJ33vUa91fJYVUwH1GGRLKDih7mWTTROieZByvBzya9ng0S6v1U5UqnkSMXb8AQ0UdJDLtLgn9E0Ke4NR20t/FuI1F4NrLxGqeE2282cVok3UZ1PfkQFj2EBGuTuaRbqcC5CtCdykVDmWUa2Zak0QVmRiXZcRXT/fw8LTH6dQjXSckdb+tGZjPCGWnTJOXvlJbAGMprd+8BjQ4LLSx4k/uV9f2rybcDmNfza4op1bCa3OTleGfnpaNLFZMnjMUFjzp82zlxJhnt3jY6sY8iJnn9qMghI8n1JOIu61hJlKS8uy+a/O3s0vkaftVikifgTT0rRkrkbMoMb0DtPSN9X6y3828zcrfrR+U2UA4iOD2PksXWcooVgqZ1smZ7Lw+D9fBcGBSKpC1LN/0JmRCXoaI07VyzlNKFoxmsQm4KiMGWjBzxkXZ48i9sieEioSBCi7KDl+ansOryx2p2Ekz3t1Jg9Dn8hPcTUfsaFadSnawU4cE2LXXcSvVbYODa16WVu32Bra3HIZ/9KMfxd/6W38L3/Zt34ZXXnkFv/ALv4DHjx/jp37qp0BE+MhHPoJPfvKTeP/734/3v//9+OQnP4nD4YCf/MmffPMfZmXC7rURxFBeqZHXOVtnI0LzPKPSNUVk6N+ElzbYDb3fqP6w/hGJhC6P+VVDt/4gKG+YgNRXPZW0+q/8Q09Xo0tjYGpOcDdbggtauU9oQllqv9/CEjiFToCJGZGS609qbqZVTp+TpHamZc1OROFYKvLfFaiylFsUyW7PJ5hRxZ45viAPQ1OA22aUb9zXmoZtE8i2WXrHWLCnKDakcQShb2Mzguyua/oRoFVwEIE3hoEeVQddBPpOOxMXX/jM9bSVueZVuoGGHmXIWA4JZYwVWUA6AfOUcVw6HJceHVVvEHanOzlYrT2Qr2VirT18THgFjt4iJmA5MNIstvVpIgcb3iitBYWrdM2y08odC5g7gEd2kSxVoL8k0ALM57IQUVdxZ3fCoZtxLD2ulgHH0uPJNOJq7jE9GTDoe8By7ste0lB17JGHAW4WmFNLw8xrhsSdZUPED0D7a2nZtwVHxoAZq2tC3Co+N7QbgX4QkJpqm9TVhfapCrzDZqwyAAEA86yaEQMlTq225zcUMABYP9dESDEdCcDbXQDNs8rGbRR/z2YayGpKuNEQ1iq9j1jYvjRD7wmawNNOo3LruxPYvViRY+lte032VUxQJSj0IJMMsCiwU5Dklve3WfHDQAoHNoRas0w7VyOrE4NqMzs0EC/XTazuM1Uca49DOqFiRkLFWTphRzMKCBdlj3d3FzhLJ0nj1B4P+QwzZ/RUkHV/81GRW0wNnHWdfDebk32etqqvBNTpxnd9ve0tByhf/vKX8ff+3t/D17/+dbz73e/G937v9+Lf//t/j7/wF/4CAOBjH/sYrq+v8eEPfxgPHjzA93zP9+B3fud33rQHim/uY8LrhSlr52IXZ9l+t/ToURrQFeImTjOQAtyIzJlZJil9YG5oXRKtWQXIxMcdCx2uTn+lJORcsSzJA61VxY+/2ahO9RcpOvhUf9LM2dRrwqojqvg6eNlw1mhNf6+cJENl80j4nqZqBxNqTaDKOE3SEI6IkcYCvspIS3IkD0BElka5WI+e4IbqE73+bkxJ/O5xn1V5p6U44nXptUTRtBYbzYkfI4AcMsO3p7Tx6QRGbeMxUt1Wyh3HVGWp8gB8sZTFQCZoMl2OpgTWfUhyuJYCZvhaG+D1veu2ljsDpjvCUBi44KQusK8MeDnfw9XdAd9y7xHu9Cec5QmXZcDZMOHBWFByh7Qk5KNMrEwkYEK/lk3cZtxWRgECHbNXgZmg1q2+0X6f7hGWMx2rGl3WHkgLOTuTrwn9BQACpvuMcqjIfUWfpHvx3f6Ir5/OAABXc48Hj86QLjrv/wNdYOoAHO8nDM/tsH84gp9cyvjpOmCwMcSoMcUWgyJluCTlkaWE+9hM3zw1p4BG0kWB5VU/G0sBORtQijIET0+DQkMP4m4FxrgUT5P78xwsHtzOPmpXohkb2lzg4GUDXJz1s82uubKA4CrBDABGOKYdwjQ+pSJPFXlKGqjJOyKLEdlg0jQ5AE/DeDAWdR9Yz90CtJsHVQziQNzKkwGxEkht/Ntne3UMYcX6RJ2L6aysgo47XdsU7FcCkETQfkgTeip4VM6QqIENq9IBgC9Nz+I8ia0AAOxowt1UvEFgTwUvdI/wsB48LSSALbDSKbQciGnObar9T9necoDym7/5m9/wdSLCJz7xCXziE5/4//mzqMug3PxOfNPcpUegpiyPfib295TAdVF6vGoqg3yi8N+16oS6Rin6A2MULbB+uKgBB6P+ZB8AM4E78oyQV8VwiwTNpl6QO0l3YmVGLMcvfRzYI4nayWSeijwR8n5r+d4iU3Pu9GWsVlBNWmMvOXwqkMhUUzo5V+RcxZiLWBZHprWojCBVRazXgvmGDwoBTRtklToxgnBQGEza9H5xSR4deYTk1QIM771kD8JGh+FMTEpvyjDord5ot5NJ3gBFBBCwMchuAua25wBACTSKuNUXL0qe9gHQfE8A1OPJgXi6e8fPQUBgBZ0dwOcHTPc6TOfk9HEd2wSYTkB5MOC0nzGXjNoRrkuP8+6EJ/2Iu+dXeO3YgbMAFGJJySiZ5xOxgQsAKCNjviNaEaCNoZrh456KsjFEKHY+BHCveNjGXW5MS55k8s/X8vnP3rvEu/ZPMHPCad5hSAVVLfqXxwOGC3LXWs/ts2hRyk6acFLXCaicWvRnbS4YLNcxdJoWr6TqqRq2e6D3icZB5hfTsoSqLqQkHZTjZJ70HkPF5fUpVvKUAlAObIkyRWEXA2AeSTtDuE6xM9CAioGXOFdvdC5kVVKqM4yicWZaN3O17RYmxXqSkRYA1EyrSjFrSOkVjTou0syrecO1KGzPCgmrbQHhbWuxPtsGvoEAzO3YSoS3fxiTwyg9sBRq5oRAK+8nSKsHYyyTAC/SgDhRxbu7x3hYDtpvpxM2SaPLIw/Y0YL7+UrSoZAOyICUIAPAzBmvlju4rAMqJ3RUm9V9uMboe5lvg5iZS22FLW9ge2f34gFWg3kVdWsFD6t50spWmlRfoZGmV/5w8J8IZX7ypgQaNtUm+jntXJSZCagjLca/UaMENalIwUWWiOXficEdq8OhdblkBTv20MIfANeSLIyqD5ykgoDEFhkQEgJlqaApFUYqVYza7MGg8KAyNaGiX25C1xWcjgP4lCTYJ/3ObMAKwCKRFU2z0tTmxBnYDTMVM82QpSRiSWZCux/WWda0RuY/EQGnVWMZMHGfFPVKsYof5jeF5N/qja+vwUny6VQ3kR7Iv/+q27GNYaIG7KALpTodG+vC6B3QpP2upXdKkb4xd868cia6JFvDvkVIBqGYT0D/mJBPGdNzveilVGyXqOLQTXj32SUeXxwAHlxTkmeV0GQ4MxEBABVIE8qdfs4iwANAY1TUNKvstIeVaeXVgydfUxPU1nacZGNxV3A+npCIsdSMLhUsNWOqHR492WP8kw79E9G4RO1LHYDCwHQ34XAYpTP5tqmjpSJCSawYPVrw0NgFb9RYitwPZu1UrnPWbgfUEgKddn99zMRmkG+iEuKt3mSRidUaTaC92jRociY7miY6kx3GvVVxheaBNj8Y0LGChi0T7kBAS+79TGwxdO8UDTAXFrChbInM0213quLAukYjIcjcbFK4QN4Dh2zc2xJC7f2cJPUjAAlrZEft3+uKHw6+WslT+ZY+4qRBpb9XWXNlVwBJxVzVARd1j4qEU+0xUwYSMGizwIyKZ7snAODOsjPnVUoHgP+7gCTduw32YqpTsxnOpLyJ1Po7H6AYRaoo3QdwiDyiqPBGh8ygSQHCQ7IsYC01NkBjr7uY0yYkEstw4g1FiTWIWG3ZwAm0fFdKjguhRZTKhtjiQSy+JuWWfKV8llKBxpYkASpUSde4gP7DIJHBL58TUb+ov4UjZBZgwkxq2FZRTJAlh24RRmVYLx7uO1Cp0iQwOqDqOUhjvNooWnXTtGu+MmyzfKZdOGO1wj4UfSVqaByYCCmvxVlPUyRL4wjMCqq7lrpxN1kHIu0782lam4AhXJdhcMfSVm7d2CJx1CSgADie/FmgrgMd9pjv73G8nzCfoRlHaWoln4DhgpEn4PqiR3khIRHjaulxLB2eGy/xnvEJ/ugr78HuUkFCBbonakd/0OhNe/tETVYlxnxGK+GhXyNdPOogbIukcxTkY+2kmU+ENKkGpkB7UgH9fsb/6Zkv41R7XJYBl4sYzF3OA6YHO9x7VcfsgVy4aACfszZNPBvQ9z2qXbdZfGlMdLwS29u9iwtyLKMdBtlHUz/+LJSj7iJ9ajy9Z1VDlYW9tS7r23Lct3sLc99quy2luqX1LY1lJcPbVCzQGJft8QF/5oWBidGTMjVbvVr8XNbAqQpTvOpYYoCdBHAknUfltbabscNehKBzPHEVN2V7y9LwTRPj6hyojI19rqTjGdy182bTdbhHlZxf6gLDbeBcT8zNCtg+T+f/QliqgJKLskOvALOyaFOkukcs7gEBIDN3Xl5ctQzZ2JRM7EtIZQVGfq0a8IyVsb6O3lKt+nrbOxugODWYWtrGUgJRRLadKIC2QGd49L4CH5RAGR7Ft8U1lLXZpAQGpaa1cAal1pXhDhDuTdhNLORZjNpmknw42v6yWDBo1ry2aTysksXSSHpcASX20LSHYqVaZ4iOBQJsCLwS43KmBqyypHimqUPXVXS5YmKCebaAyW2bQ7sW/SD9wKThBLVJjcFNqBkiMX+rgREK1K+BUUvzAOtIilU4bWyaVV5oZOWMASDCwzfYVfMt30oB9aP/DsAXI6LGDJEJNG1BtIVpU75plQ+riT4Ix60powA2WWTNCA5EmO90WM5aZ2BvfKa/d0ex1+4fZLx6ecDz+wvcG2RR/Qu713DiDrkvbXwVATR5kjRn7Rlq3toqGvSnJHktTQIyuBMWxFjCMijAMR8zBU9mrEYVqJnRLSR9dAojs/qsjDOe6a9QOKFbDjiVDgsSLk4jukcZ/RN2UaEdqwx2TGFu5jsdeq2UMnt6CsCEiz7nkZ0zcDkMwE6/uGrdEMAFJRJQqamjaoyMPRM5Nwt9u6/AraX0b9sWxPdbH5K2RhmTUNeGiLGQAbiZik1p3SsrpnjsOY6bMY22+JXW88fXAr0Xfk7KPtr8ZyaVYB179reiQW8kUiojWWECkaeATN+X5ur6QBfehlP2MuJooOkpJAZz9bldxnhLF1ES5lTcmW1ub5QLBZPPFNeQTg5QOSGBkYjR04J7WToT91S0946Ys5mupKfF3WLBDcBMnJFRUUCYrX+X33i9XzH4M4G06lLeODx5pwMU0gU6KLb9wmSd7G3yNxU+sMqJArg9z2mVMrFaYgt0rEwzijYt1xZYD/m3njK3iRcAzOre3GQlrWKDH21wVwbnJF2H0f4mlQ8GLhikimrLaVqJWjIluD00PrEoM1N5xfy4AEzHv5nKETGWkvRchVrkjh0gVXcgNa6U1kBCKT9nC0pZg8nbtu011vvBgQb2v1s/k8pO9ZpgDmGylNTem3lU3tqNSxGn0ixgyoWvoRkdKYAQ7VMAGFb1FJxKV+ZeQw9Pk1lZdSnCntji2beqEAw9yj6JiNtwouWzQy+cxIx8nUSDogN4n2ec5yPm5QzDUFbllP0lowwiuvXSR6zBCQPgQVKamdDAOQkLspwzlkNFPiZ46STWgAIJWg4NdKcGxgGJ9Aon7NKMRVWQx9LjyfWI4RFhuJBy4OWgkz01IAQAtSeUfQKPPXDdAWXy56SeTq6pYOgCYilGwMct6fxkDR1h+hHTYdi9rFWqu6KnB7GIow2I6v0G3yxRf7s2S1lh256DK7hgzaxo6ty3beBoW2RDY7oX4XhD59c0NhUFZH6inGWp3jC1q3l9db5tX0CDwMmAic7hxOsKHwMehFZdo/Oqg3sWJoNMOxKW5OTBYlsfbK63KjJhoguqBaLQca6fR5qOkusJUGAk3GsoN2BTM0BdxZAX9GlBhhi1nWESkMEdijIll2XnjIltxypNNQukb0+misvaIVPFVR0wlxxkAXqt++6GlsiZ8fVU/g23dzZAwRpM+GbRsuUsXV2fbr63rv0lomW+b1opgvjQbXOn9hObUtnrOokCOgHrxGMfk1NFqcqiZG4lvrYpfSblZDfv7spIiIFUGFzbRC8dZHklAqPSBrlFEk4/pna+fgwGuEp6xw3lLE1FumCYbsBSXqQ0r0WO6kPifZFC9O/VWDlc4yCYozjAS9VzpG+czwylta45iWWht/iQvF2b6wii1iDkbD3yszLhUlo6YejhXhtFXE0JQVxYGczKuFACytyAtZYpN4+IhHpnh+ksiQ7DtBwKbtMMDI8Z/WVFHQjdEbh8vMOfnJ/jvYfHeLa/RAHh2e4S5/sjntA9938AC/OSj6r5shRKSEFa35w6VI1Ac2PjOmC+W2SxmDlM6vJ6HKO0qEeE5/SFBt8NM57vH+E8H3FRdng47/Hq9QHXj3c4PxngYXTXAlKKFVLp968dMO8FxLkJo51HTBfn3MypyDRxyngyA1NoNhjGZKxwsNfsGXEvHJu/zBPFJv+ntKW9lMibnsS/QwHAFUTdamGK2hMvE95WVxKtdIJACArtOK41y27uaHORpxFydkMwYBt0aqp0npGvZxmDfbrBdNQhuYjWK7u00CFNLUXEido0TQrkFwE3xCzXI6EBlcC42PFtbk4KigzwVCuI4Bbkyt8DM0LtnG2NEKGunHft4ZWYVmbcU8EuzXhYRGRm5cNn6STpHgUq5+koHilMOEsn9FT836I9UefZfESXqjOasEpYYFV1ScaCQ/d7g9s7G6CUAkZao27boqYkpoJu+7v7qZAfNwo1V1FsFHhZqsAHeHuYqFZw6huzEfPrBNF1LKo8h/S4YQDGJVJtufyVGVtlZ0oAnUR77Z2i4KQMKewfPjfSpHbMFF7jAHZ0YJPa78vXk0oet7qvBFq0Y+0WJ2RDNdwWXr1WprS3ckyuDEobKtjuoUX8G3CxSg0F6tcN9yxHHu/35t7z8vQmeQHR6wojABs63KiIvqW3kpZGJp2NgBtj3yPyrZAylGVWTRlR16EeBqm4AdBMnyCTqzIoxqR1lwBfdnh83OG9h8f4S/uvoVch3a5b8DhjxXKYuRVnQgGvWUEW1sJACo8VZUxIs+hLljsM7CpwSj4GATSGsArbkSbC+Eg+x69BkmOMueCQTkJpd1eo/C48OY6gy4zuivUYjOFJxXSeUdShtgKeVy8joe57JG4RIRGJX03Uu0FAr7FdppOirgPUN2XV/6uGxyYYi9nffF9va6BVXQC8ze3T2OK8q5tdDwANkERRrLFJWxuArT4FEB+YkG6P87t/pjJXZAxhXZxNASWxHlBtF1uK1ETyXSfsRJ8ECBC8+iYt0uS1Zgl8LUWeTsUBBfd2P/R8XbwKrbbU+dICPmr/tvkb1pDVAJLhtMqguSpAT+1YOj/kyjrfB6BOUMZHL/9EktZZ5O92bGMQL+uIu+kaj+seL/WvunX9RdkDAA76IN3Pl/jachevlr3aUUhZ8iGdkGrFzB0OacKYFxfCe0A1Lw60BbSTz+Vvpov8OxqgMOv/RQYlLFS3Duzt5jnRhsZ9wYQugDbPr9TnbVH0rRZg0egnyeLKSgladcu2x4MxEqJBAbAkX/SpsGoBFDx4abGeTvzeAU1HzUnNhMTGysgHr7oVW441RKdpEaBDZmGvtDsRe6rHkL5Ey82oZyWUskXXJqJ472yBVHrcJl4mf1JX0SSAVqJYKtyZNslKFXt9iNU7u34oRmyr3PhTrITY+vYIM6IVO1YybCArayoIcMGkiWVNq8DhOBxFsZ6i1OgxLBR2vDpmKeVFABeaIuyO7GxIWhjdtaR5rqceCwvlK6ZOe5z1E5YzdUFWBoIq0F0xytj0TYCCX7sUHQGZkfYLlvuEVDI4AcvdAsoVTAmcxditVZvBAXWegO4yaApIosf5jJFTxWvlDs5Z9DLH0mFeMmimVoK/MDLkuy5nBJrRypkTxK/l7ohxvwcur4T5sG7GBlAilV2KXkByJpAXS++wg2q3sc9Z03I6tuui97CVnzuA3VglPI2NGaBu7fuyer5TEk2Nj9+8ruQITC3ZNQAQ0+e3McWm94Nq0MxRtqWrW1rT7wOwSsmvvYWAZPNCJk+3yJhA0JeQAAmd36jKmJHlIjIahOSpbfh8GI3W7HORCdUsK6IsgCD2AQZM7HiZGgOja4gz18GgDQTXnBCExSFNPVWIDgUQkAIALy/3MVDLaZpp28NywGUdUDjhfr7CjoRtNjO3i7rDVRlRQTiVbs2KEK16pq1E/aWiLk/RqO1t3UoBut4nAUPLqy1SS4DrEnwLficrq3VqEQIHZqQdhxoDwLwyOGMTZ6JFYc5MqEGPoVqRwzD6fsFinYKNkfAZPBzbBijDJ+RUGTUl1D41CnCLxzYszOrvIVXSFOPhdQMjBHRJgZxFDJrvlNLl8D4979VnAW1CqamJVU0ga9cZ8NQc3QJufBG3LWqN7DvaRLSJ5CgClZxbGeDbvK36VZgoVnu3uI4GkJLV+F1d8Nu5RmWV5rJrEYSYXp5pws2ua+60uxHzoYNXfwEONtMiOpI06wSq/iT5SJhOHR5PO3x9OUfuKx4sZ1hqkj45Wm1jFQjdkVCOUrq81Z8QGhEEAtBVTM8AGCrSroALAcQu1k0LHEwBAo7TLOmdtGD1rHEH18qcpRNeK2eYaodlSV714wFAle86Hwhlj5bL78RM7nS/x3DnABxPfn2tbQKltIrsW5VfDeA65qMSkCooWTNSDXjAsCoTnibXVNA4gKhqeiSJw+zxjU/yb/Vm4OSGENbmQk+BtVSXBRMxBeNaEqs6M/ANIOpYfC4ITS1NT88RyFukbuLYjU4L+nkkB5X3Wzd3wOdIE8A624EGVkS3AjfHlDfof5gdPMRjwfQjxpRoGlW8e9iDbG9LQuTjmFJ2gOOOtgs3dt00KAxNRZnhmzwP9hIS49BNGNOsAteEHckYMiFsTwUpiGRNm3JRdpiTdDGW/Sve3V3ggmZc1B36XLw1y0oPaGsq7F5F5/Y/ZZDp9s4GKICi6uIaBQBrZbiBiq24FWjAxkpTKyt7sumCzC0at/1ItSYxEl0thmHRqB15/h3Qyc8IBiYsJWFZctN2bMGF5S0Xs05e75AKAzODE6P06guhn0PMITfPIULWB1AFtugSeBCAI+WWCjh6lug2M3bDrCwKFLSQ1967oyFaRLBimDR64XlpivuaZEJ2ensjjgMa+KPmvkmRSrb7k9pk6IZt8f5r9LY2bLolSns7N9OLlMnTjUaNpsNBWJOlVXjQMDSH0VJXjQKtGsTSkavUmC2U6kQrVSaiq6jnZ5jPM5a93He7lwYGvGycAZp1QtV0y6l0+MrpPnqtABhyAXeM0idZ/G0YLIzuEkh3pT+OOdTaRC0lllIKmQ8L+ntFyUpCpSwEZhURYklwsEILIZ2A/kmIyBX1LAfCcrfgud2l2ngnPFoOqExYpg67J4Q8CZVODEDZoTQDVT1RSO31xTZcF0szarO5ZjfCu0+X0tx+ZxmvPE1NkByFoPY8mLA5Vj+oQNp1E1ahBYDr6wRib+cWdSL2PBk4sTR4OD/f5/XKf7VB4kpPaGabG0Zlqxt0fVuBzN3aqsTZ05jaN/1QmBNWDIimvrmjpj/xF3XOBGOrz1tdGqLGwhi4yeQ7up+JAaz4WpXz8RYlYY6G6e9yC1iae61GlBTcaPU5tvQPEdBRReWEGdm9TmbuUHTdkdLhhKs6erdjcIcZvTMuO5pxno7oacGxbmwbiHzMrlLOcbxEecEb2N7ZACXY3DvyNIAAwMzWyAd766Xhmw0iUYE2IdomvyrlxdkXV184a7CijsckkuoaXei9OZSyHwCQx4KuLwr6tSafuCFyExM6k1JlAh2zTJhEQgG6VqaBH8tJuvaFw4Cm8LB0Ruc0qtPO0VmfLCmvpVo0AqTMqMRAaip3c+OsffJIxt7grpG8ESGTLtJcWsrHcYdNQtWjLwea0f/GAGNKrXN1TOFoNLstGX+aG+UEYmpGXzlJLxfd6tUVknXwNuGs5dH7DmZ5jsor3xNK3RqUwCIoHSPjCDqp5XpKqPsey6gRm46ZNMM7qbZ72CK47opwLAl9KrhcRjwqexROuJwH1DsFy52E4YkAEyur7K8Yu1cJ1+9Ba5IGtEocALmvOBxO+JZ7j1CZ8OWH93F9qQyE6k3EyhvubttdifbEbb07oPTCgvBO7v9ryx18eXoWXzneBwCkriLPKmqs7OCDKiOfJM1TM8Q0Ts+vDACf7UCHAxAdZWtFnYKXR9SkGBAx2/daW+M08zbJEAM3wBmuVeCjZcm0T62arfKaFX5K2zZChlZxRFCxmhdtXNr8EwEJ0k3wcouJmwcxphMMG2tlYJvfsx/HzyUulqznbIxe1JJQS/m0/dkZFACgFHxHbLcIWFTHtSo5NqLMTDjtbS6UR6sCMgaHQ6mxMzoNgBgz344FxFTtdkvEXi4MWKUboTChT1WYFEhTzZmBrF+4cMIEEdVWiCdK5YSlitFnKsEQM2oOY8Ba058jgJLIFz/fgoOoa0XsbpmvgEXT27RAjMyjsBY67lSsyNdHXSwDT1WK5I/DzTBjNXEpbANU+tbIyJLS3Yq+L6hFDIeldJdQe3LXwdWCzzb562AliKCqgw5mQtUHDCQMDg2QFvQQJsZpzIXFmr5IdLHqemwRKQNcE+Y5o1ZCzmqPlNoD4O6gVaPswhLl63XgZQnlrmUtBvVSQW7X0iJIux92L+wBNQEWsL4P8X7g5iRpk6LQ8Dff9rZtlcHVFiMdYzmD9hkYRxmral7XWsnXFQ0u/VtUv6ALYL28lqhe+/rwpGWxlYFUwZeX8pkAkDPKmFcluya+666A8XFtFV5aopwnRj4BdZZzvlhGfG06x7eOD3BvuAaNBWXopbQxFqgsohPpLwjzHYAHdrajBkflsV9w6CYMqeB03uGry12crjsHT6RgHwA61hTUouM8awSb1cukr+i0r9GphpRXIaXpAWcmVdyYZ/gEKuWekE7MDJR9j77L4BNAexEUohRgmjwNgZzFxr5U6XcUSuppNwpDUll0JszNjwZoDITem3b8Vm3m9/r0FK3ugcBKhMUnkXQfrtwcjTfP30r/ZFsQUCLMATd0KBHAxHSQMQpZniE2MXFGWwOAtVaxtv8S2NM1TPCGfu38AC/vTQ1M+NwWwQehsR7h+J7SJ0Kq1YGNpZJQWEW5LOfmvanIr4u3TAni/ujRwnaedlnMI0V3t3TnENgPAx92aQYqOM/Sp2vmDjNnJGLsaPJU0GWVuaWnzQRaAdTiLSBeVwxLr/P3W7Y3vuf/H27SiyevTWGURl1dJBNp2cMfIhTPz2ve30r/eJrcb8K7Z2pULjSVLhap6U2sxNiMgHzwQenyCWsDnQosc8ayqKgTuIUyBKJCOz5IUXRog5OTUvUmrE0SUQItYvCmU1nOL1nvHKChW3ugbBInDoSIPl6qVXDNiiH6TKqT0fSAgTeNnmgYnJq1Kp6o+TFWRa5pdpbK0h+rSS9OdnFSRwM89t8HeAX/6fi/4f95/X/D7x7/Fb6eXl5fa2Z84hOfwIsvvoj9fo/v//7vxx/8wR+s9jmdTvgH/+Af4F3vehfOzs7wt//238aXv/xlvNnNyp4F6KagLSHgdJJFyVIHCOxgLymeaAbG10fU6yOQEtKdM1kgdYxSGPf1+tjesyxAl1GHLP2b1HnVDcrUrKy7rkizUsdZJktOAKaE49KjMuHhtMf/68l7cTmPoMRYDoxl36JRM33LM8tiD7SmaQqKMBYczo74S/dfxYv7R7g/XON8OCHnCvTVe46YNiaftGonjFsroy8DoewZlBjHpcf/fvVuvDadIYFxvfSo1510UdYUlr0/n+S7Zi0/NidmcXQm1DGL6ZoyWzxNLn51V9m+A18fVz17rI+OMa2rhTclAZrzrL1tit87r0qxwGroxbRNg4mntfmzyMZcqseLPscAmq4mpmtd30f+bw9YlO32fVTXE3UoPi8D3uPIe3L1XdCokDfPvLF5Sp7anGVBlpX7arAlf2zsBwehqrGJxrrIvBvS7ynMg5BxmaaKNBVPr9tncJKgiRYBEybCFRZbPquansfmCA105dlqqXYkSVHWHuK+PECeHWIsnHClwteJMy7r6CxKr8CkcHKL+8KEXZoxqGFbRsV5usZz3RO3wO+pYMyLMJdjEgPDoHHztVnHAvUdaHjjvMg7GqAAaMpsYz1CHgzQC2SoXSN5R+u6UdQ3DEPL/1oaYdm2VdcH0crlDKgwS744EdBlr7H3rsAEL6kEJGLs+oKcWwURIAOuiWpv/9rm9ioPgZXDwZmR2pE/UGlpRmxuz6wPSRPDsv7Yv7Gi4sqSnD2p6ociJwJAnWTFFIi8TFnU6Elr4/UBCxRwRNLOImwnXk1v0NDDBaFWWhgmsxtpjZCjtvFQiHGensH/0v/V1Wfa9ou/+Iv4pV/6Jfzjf/yP8R/+w3/ACy+8gB/8wR/ExcWF7/ORj3wEv/Vbv4Xf/M3fxL/7d/8OT548wY/+6I+ivElNAA1DM19blsD2CaDmaWriwXlGPZ1a2sq+ky6M1HXS38VetyZ2eo14WZoTrQk7hx489JoqRLOQ57b4p8UASxsvnh8n4Lh0zlAAwPXSI+eKOrJ6irQxUno4uDBWIk1teKe+4v7+iEFd0q5LjzvdCffPrkGJnd1p5cWiP+lO7Okd2YfcGp8r4X8+uo9H8w6JGBfLiLlkoEoKp4yEMqTVYuN6LSAsIPLZZUzg/bheFIdNHt7M2MzTRPUjInpN3k8HScz1aByR9jsB7Qpw5JoF0KoaDZTqoOCppngqg5dZA4baFp6cQEOPdHaQ72bgpazT4AZE3BvDvGJeTyOozwp1nQc3DpBsvrd0kLI6li4m2oAXQObBpbqAlVXbwZlUg0eoQ/KGqsl1Qs3ErUb/FMB9pm5tDmgf20mJcuw+7yaZ+rp7rph+xI5vJcq60NuzmWZ5bp3JLpBeVBM5gEmLWFp0VPF8/wjPdU+QiXFRd7ioe7xa7uDl5R5enu9Di9jVnK1zwPKwHHDk3q3uTXd2J0vX47QAea4e/FPXCZO7G1dg0gHpG9ze2QDFKFLbNjlG2ac2pG5/sn4Z2/p7e0gMnCAgdxUlvi5FaT+qgZAcJtByhDdPX1gJRkpV0yeSn+PMsNy3o2QjWIrlJfWcU7M3tnNxhiTJQ5UWKZu7cflswogPAod/K0oHZI60cxXnW7TRQ+YnIVEyKV3ZJmqbZDVdQBYFVBEkp2CQZ/vHCChOXi4mLA5WAMAbs0VgYg+GHuPd/bfi/bvvxgvdX9BDheiOGb/yK7+Cn/u5n8OP//iP47u+67vwmc98BldXV/jsZz8LAHj06BF+7dd+Df/oH/0j/MAP/AD+yl/5K/iN3/gN/Jf/8l/wuc997uYF/gYbH4/O8vn5A828zUpSWboN0zDIuFJb9NjI0iqCLD/PU+sVI52QdcIwJnHoBQTtep1oIeMtpDbEI4TbPXNGzizFCY+vdrhaBjyed/ja9R08ut6h1iS29n0bR7HTdZ4Y3TVAC600WTlXvHjnEe7317guA867I8a8YMgFqa8OTCTtQuiupD9QmuFjXaI4YNkDdRRhd6kJD04H78FzcRzhFQ/he+epon+yiKD3qlVJ+DXOGhD0uWlFPMWgDGUQjMbWGzb+3BjQ5pZpRr26Qj2dPAhyduJ0knupv782fRX/6eLf4Pcu/i/4Nw9+Da9cf3E9nt5G9g+JkMYRyQTCXjYtPbUEkM0NvOg+dZpbEKjjEsBKOAygMUmxalLnAPdQ6rs2D0dAqFpCB/2btBBpwCQeIwnwObI6g5LninxdZMEFUDsBKzUn1ewBabKJER4Q1l7mLQMfdUhYdpJGrTk19sWCOGNnqAWNTCRAxooh/BmSsuQ6JPdBqb3+dPCHt/bC+HHHbp7GBFAn3+W15Q4u64jzdI0X+wd4qX8V39I/wLu7xzjP18hgPNc9wf18hRf6h3iue4KDlh4nVLy63MEfnV7Ay8s9zMq+dKl6gQRPE+r1sbXeiHILQMHtnxOAwnNpEQnQwImV/aUw6G2iNd8IKwPc6hPiZjlWWzQ26M/ZAAMtZu4GhNp2uKCJlW2AtcZGS5eI5X311y2ajSZtLT/LTd8yN52AV9EYY+M05ZaVCKApG1jg9vdbNgMmQ2eMDzyP77nPGv5r52vnzGta2q/XNh8Z8tp+fe3+2r2k5BSugU9PeahaXwSktQEfZRduAFXdvvjFL+Lll1/GD/3QD/nfxnHE933f9+Hzn/88AOALX/gC5nle7fPiiy/iu77ru3yf7XY6nfD48ePVT/yublrVa4rRUpNE6hiqC5tFnLtR9A+qXbHvFr1eLKWzAjKx/K8X4MI5N5BQw4JdhJnIp8Y02sRauwYqmKUBWSJWjwVCmRKoklLMjQr3sVGUQdEIkAmoh4r9fkJlwuUy4m53jZ4K3jU8wV86fxX3zq9Qd1UmYpYIMV9r9KgsYOllkSijMChgoEwJ8yK2/MfS4ZWrc1xejUinJKnPgVx/wxo5u/4kBAWmbyk7aTXhIGKaZMEMCy71ndjVWzq575teQ8ewiZutIi06UXvE3wVWOGcsdcZ5fgb/y+579H4+PfaviXWbeF1YndTYCmOZNiyl6W54mmRc1+rfdVVWbKz05r3xeBwAnVXA+TU2wX2cHxS8u8Gmsc05iXGbMiilT3Cre9uS2SgYUMgOHkiZaRfdMtzuQYJDnc80NZPmdUGCAxMilFHtIvp0k41hiJMttWewFVRIJEyLPWPUzNMAcCUkYryre4yMikwV99MV7qaj2NfrwJ8546Ls1TXWGgRK756BCu7mI17qX8O39A8AAE/KDlORd9esKR6t1vT528dIdpbtjW7vaJGs9FIJAsJNafE2f+kRZFTcBzv0tpiGklTz6LByttehVqWqp/pE4zXytpBqrpPiAg40V1aoiEkFg+7PALR0T9JoV1M3AmDYEbn1dIgDWwa+GrWpAJAqSwQBGbhsosmQKjJwRIWAxcS87OfMRR8IhuhqAuiRHKreg2UjHgY8FeeKe4rW3y1nuZrcktrdG929ATYe1dq92Ob6AT+2SnxXVTMvvyx6lOeff371nueffx5//Md/7PsMw4Bnnnnmxj72/u32qU99Cj//8z9/62uuXdDFjDCBLdqYZ78nmIXVE8v0uTEjXpqZm6ZF/21j0XU4Kqj1Z2QcUHedpGGUDeNuDWxdIKuEXe3JHWfzZcbprMeD4x7P7K5xPfeYpg7Q9GQdGGVPKCeAVNNhLFt3LcZtXgs/VNzbH3HenXDeHzFzRuWEU+1QQXj2cI0HhzvAlaDh7goYH0n5vFDzaCyK5t5BAAqhFOkddDHvcDn1KKeMbiJvRuhBQGXvMCtpHnLGxq5HVa8H2o3goxi/uXeNAhQZY9W1b9aaIOrkbnQ81h+fbyq3xViDnvfQS3h3eVH2vcaqod6W/QOAz3zmM3j++efx2c9+Fh/60Iec/fv1X/91/MAP/AAA4Dd+4zfw0ksv4XOf+xx++Id/+PYxetsWBeyb8eyVS/b99PxQGWnoWxq+FDAUkGvHcZ4XCTwoofXPsqCzzeUAWqC4+bu3wuBy8zxjdVXQkqzaZiRxlDXAYn9zH5Qkz0XtaeXm7VU2AKxEWIoXqH2mBpXVjNgM/0dmkiFOsiY63lzimpKPeU/reFGDjnsGqtrdG3NJuq5c1RFn3QUKJ8zocMVSnQOIQLboJ06ccVUP3sfqfr7S1wkJyb1SpAtyOEurtPQTZnH5TdTm+DfRpuEdzaC4yBBYRclt8G50DVYLb4N8i9JdkLmp4deHxGhy06h4DnVV0qrHj/fA0j3ASoMiHynMhDUKdPFTYE/MbrmlAZpleNXc6bZng1Xj2N/Ei4V8wCLqTwBpRGj/dvpR/10JVSf7pSYsS/JeP1KRBFhFj0cELqjcPKAhD71qKRDvkz2cG5Hrjd4l+p4Yba7eY1FqBJUhfZS6m2BzO/HeKJW8ZftG+3z84x/Ho0eP/OdLX/pSezGmrSzdY+ksZfoAOJ1NQ9+iD9YoPpQp+/cO6QfP0SuAk+g2g9Xp0UsSQzpRNEt2H9HGWkdrL5854clxxIPjHqelE7BdSE3QyPfzkvUEFQuaxoVQd4z93SOe3V3hrJOeH2NacLe7xj5PGNKCPhX0uwV1x27M5vophqdjLL2DBNBMwJJcVnU999LULKm7c0bz+1EGJbrcpsWeG7TAgiEMyn5UjUWWUvC+D8J8XZQ1mneWxeYLY0iGHrTft3tqIlG7p3oMXhbvZkxxwQ3D7ZvF/r3e1rJWG4Yzzq1o+6x+t31SagUM9jwOvVef2XPrbAzQxnUY26stzBm3VoqYD0rOqH0StmJIrjexLvFsYz2Rm19K8CUs27LPUmWpP/Y7SPYvdjwzX4u6FrNgAODiWrN2sEDBA85bfpIECqU3by0GZ0btuHWS1+M0GQCDMqNPMt/MnHFVRxxrHxoBkrIlFT0tqJy8R8/9fIkzNWkTF9m9sipFzd24fa6zagFwb8Hlm7B5eEczKADW+a2wrToXA0LvbXUQ+sA4+u42l8Oo2RixB33KKkdqx9OfaBwX0yAy+AWkcLFFhRrotEGa9CEh0QJ4Kkcny+RpHUH80vdEF5xkqJ4RIbiwKXKuqbBgKAMz8RIq8rZcJgAHJLWKLT9lKXOWCpDGNTan0ABM4jWy62aC0LQpEzekXeS622nduMNRo3Lb/TDGyzC4ipgp3r8ATl944QUAwpK8973v9b+/8sorzqq88MILmKYJDx48WLEor7zyCj74wQ9uzxCALBSj+ZmETUBTdkDt4zSay1VuaR5evCtui7Bz8H6Ai73ZjnPL5r1iht5pZGMeOLX0S7aurrp4u3dJBfIE0TRNCdPUYeoW1Bocmm0x12ogaQ/fwHMCIx8hOpSOsR8ndblcMKZFTaIKTrXDQhlDKtiNM6a0E3GtVd5o5FpzW1SoAvlaIs+6A7gmTEuHysDx2IOvOu9W7OlXbyEhz4tUG5GkvXpo6b8CNl2I0HUOHOJYor7z0mIXcto8YGCSgsdJbe/fPgfouqZ7UybmhsYO3zz273Q64XRqDY5W6UmgRcSWkok6KrQgwTebg82Pyly97X3+XIa5Q5lTAHBHb5szwmu2rTw3NhszC/OkBQx1SM33CXA7iNpvwI0DMp0TE3llGhCYjIIGEuytYR9OYvMAe65uC2oIkhRgrOiDplWBs/Em3o6MuYnJ/f0Kxikxks6iierKZG2gAvX31SgC2KXZAUsGY+YOl3XEZR2RqeKQTg5u5pI9iHZ9SbTn2K7Rr1dhdcv2jmZQ3IWR2oBt8L4GkVb2KDOWrgHhIbII6PWcDm1fE/3ESF5ZFd1Jo+AqSnGNRo16S4V84FCu6iALpFRlPdUy5CgsBOBRnqu/gzEbbeYsXiFzjU5Kmyjtvat6/1pvCmSDLsE8WwxMUWIgy4cn9ZWI6SE5D7p1QpV0BAWU3a65556N6nURqZ67WsOv7vmWGTPNUASVxqRYisP+rtv73vc+vPDCC/jd3/1d/9s0Tfi93/s9Bx/f/d3fjb7vV/t89atfxe///u+/LkB53S0AM6/M0MoHqySLY3NVmRYmYcq5lZ4m8gjRr6fpHMwG3Cd7o63J77W5x9KCZhxlE08iF+CJKA8gJixTxnESdoIB0Vd55AZJ84zwigg3SzZMm1ksX2rGn5zO8aRIZHdRdtjnGWf5hCEvGLoCDNXdbu1YZZCI0s9Jvwd3DAwVlCpOi5zjMnWtuSVEI7PsCGVHHrn6MVz0LaANDLW978BjB+r7G3MKDb2K5EVf5WyrBT7W8HFZVuMzaitWpbZeJahjNoiqbxMavtXs36c+9Sncu3fPf1566aX2YkhLOUN3C71/62dGDUvs0zK36h77/r5vSptSYksTp9WPN2q85bOjr1LNScdNqODpCHUgLHsZE3WQnzKItqmM5JYNxi6u3t+TjyFLH9Xe/Kz0fRntczt9nvr2WXa8OogeZdnJj4/VsbUzcfBDDajUDGdTRKzO4I6l0oZYLe5n7NIspcOWtg+UXOGEAwkwvawjHpYDHpaDNARN4iQrZcYdTlV6clGFlkmXdeHKdtuUnv9p2zuaQYnPgvV0iCwILzOoi+3l0w2UDwCuM1kdm2D+G3KwCkAWDYoRwjTJRLNLK7GbPCQVqVSlzMMEbbS3/i0lXmlRvHrGGJdMqENGmuAlcUAALP5A2KQt5ZJQ1A2gpWLsI3T/VFibEurAMRBd2RmZ2Dm1FKHN65yASv69/LwNjNl1tLSF/VjUcxvrYZvdr0xwL4hwX6LTrPcBCTnvdUfg5K/NdcI1X8Ccvq5Z7J6/9KUv4Tu/8zvxkY98BJ/85Cfx/ve/H+9///vxyU9+EofDAT/5kz8JALh37x5++qd/Gj/7sz+L5557Ds8++yw++tGP4gMf+IDn9d/oxtMMDgJD+5tT2sqImMmXG1PVsKBUzeEb+LJKHfu7fZalHpilImi3aw7Haszmnkt6/wS8cCjBhZdgAgpiZkI9dijjglpVxzRU1F1CPUkqRpgNuNmZuL1GEM6oLJ1W93nGnXzCIU3YpVmiMz7DLs/IqQr4UYqbCcgLy4SsJcNeSWBtJZaEZeowa2k8F2raEi37L72cp7EvbhVegXxi1KGBFrP955ylbL7rRItStH+SiplX409ZBhE9954O5qh9q9XL8BvzmCC9Wkpb+Jfa0j9hkv9msX8f//jH8TM/8zP+78ePHzeQEp/bYKAIQL7nPDtLYulFLhBQbT2IwhzgQYuVwofj+TWysuOtvsX2+Qab7+cWBzJ/luAinECuMxIWsr1fnhHtb2MMBloFpc17LZUPt5s31hrM7oNVQ6rUz1HfX1Ssa+Nuu5WhidX9XHJL2Ysmq4p+UAMBSizsJM24qiMO6YT76QpHlhLiuY44z9fYqVHRkYVhKeqOKBb31xio4Mg97qcrBzF9Kh5Au+4tsL2R8QJV0e58AwwTt3c0gxI1B9EMiZlb/bxFH2jIfTX4N5qS7fFdjW5CRot6Zy0LVE8AzHPTnxilm7OqxBsTIX0T0FTXxJjnjHky/wMouwGvrUeCGPkogHDqncLg90VFDlOzpHGs+Z8dW9C50JvEQDqVNftgjIz+UCEBIl1F1xUMw9KAoQkiM/tIWj2QCaJ1CKmdrVnTFky4Mj/ep20qKKQ4Vu6ycZKM1Tp63x/XtARgCgAAr8VJREFU1/Dvp/87/v31bwMA/tvpPwEAPvnJTwIAPvaxj+EjH/kIPvzhD+Ov/tW/iq985Sv4nd/5HZyfn/uxfvmXfxk/9mM/hp/4iZ/AX//rfx2HwwG//du/jfxmfSnsgbX3GYuni5ynBy1VoKXDDlbij45TPk3OHllk7+V+gIzhAKIj4+XGZYsxCOwdXt2pVato0gxkFZqiEKarAdUYFGJd/I2tg7MvFgXOd4D5TNI7KITr04AuFbwwPsa7eqk6+crpPi7KDuf5iKVmXE09kBhlxygjUHbAMlrUaoA6jj8Iw1cJ89RhPnXAMaO7ptYVWReQPEvFUpqqU/dUG5BKi3+dVkKfM1CLg0v3qXFtWmAHt7opB5LNY4mPJ7nnxtLaezTFB3Vibjbx7XjfLPZvHEfcvXt39QPYFMftGdXn2qtozB3XvqOO3eiB4RU2xv4BjcVGmJd9fAfGJDCPMUXmW2BdHZjY8YYePPYNaFcpLU4FTQRtU2FuP9WYDmPqNlWSNWhSvKKsbwDG5kQ3/0th38iIhLnankNvKBgYcCkvZj0//W/H4IHFYtmeAZLXu65gTLOnTysSrnhERcLdfMR5vnbvkwxGpuqMiXUyvuIRlzzgso74yvIM/sf8bhy5Fw2KjUfT/hmzaK1jwv3jrVPvN9je0QyKOCrKBC8RSqDuTcAVJogolnQfDWYRuiXS2v3AjqweJtWiDINGrLVVBsEWypBLTQnQiDOWWq7SMcTotD69LHml62qABo0iJDVX0+ZQBl62pcHZus8meBVP7QjZ6GHLAd4yTizN44xMZiAxkrIofS4oOYkGJXwnoxndSdbuQ8w3Kk1tLNQKUFR2Nb+Xz+p7YoWPlTK64C1EYX6f9P6SRqFygQuepffgh87+z77/XCf8P07/V/yzf/bP/D5/4hOfwCc+8YmbF0a33W6HX/3VX8Wv/uqvvu4+b2SjYQDm6l1rAbTyYKvy2JRfrsSCKi6kLN4o1ZxLiZrNvflGmPhQywB5PzZKWx1kgTaOkrpYkgKTMpKCAdGq+AQNCMtyStKXiRNwyj4WqIgVvY3lmhtgWfYiakWW+1xZRHpfn89xSBPeM0ilwavzGQAIFW0CV9dYyRCuQRfAOiGvTAZPGZQrkBllYKRT8KHIAnTSLICrDm3hoqIgTBkmT4Fqg03a78FPnsj1rZ3rRpoIHxpU0I2UMHISDc68SNm4pqRXJZhcpQloKVh4xjVd+nNxTFJF9DTYP+sjBcCfSxufPq8ui7M88rwmCC2Y5PVMzoZ60AfI2O46Z1W8Ks30VrP4q7gPiqWB3A+J/Ry36XoPMo8T8qmK1mSQANKArgDw1tAytvKwNh5mbpgnXomtLbiMzDUnCRTT1ObkVIUBi2xiO8l2DrH0/UZXeIYYEu6rBIdFgknOsj4QCLWrcj6dzN8FYrrW5wX30zXOaMLjulO2JGPQHjwAcD9dOTABJO1jpcdm1rajCY/KPRTr0WbgxMwGFbiujPRuk1B8g+0dDVA8iog0YhBCukW9bjG/Ka+16Bpz8EWxVJA5ySo48QXE2p5HK2q7AXZSSwFKhzxX1XqQ+6BQ1UZ7lbAsCcOwIHcFy2J8uz0c5BGp9QuhpQJdcnRsqRnukzoNiqtrzWgCWhsTBpAs8iCoWVECe241XF/WxUurjOY5i/U4AKIGUJpORRcOK09dqoNAmF+MTjhmWuXpDWe4qUVGgTUhIikPjgLX1FgCV4+rmRl1vS/o8l67BnXNvD2ljU8n0HjWFjSlRLlUH8c8L+IQq80BV+WpOYN2owoyays9Ds8A5Qw60wicK5CtAoilGsV8PzaXgoqmPEqbuNkqfsLaTwuB5iSR25SBRSy3uZMFvAzAfIeQj9w6A3dwK24QgDnheDXglatzfPudr+O9wyMX8O3SjDEt+JPrczx+vAdddDqpA8uZPBv5CHRHgBOLIHcO43ghcNHnv2TQQshHQnetf9oZYJLvCb0ekvqUBchSPPG5qIce6SqD5xnoB+04fS1j0szYbIEdBtA4gEpeV21Nxcend6W2sVFq0FIsoL7DRX0N/+HRb/s+f3T6AgBh//7Vv/pX+NjHPobr62t8+MMfxoMHD/A93/M9t7J/XdfhJ37iJ3B9fY2/+Tf/Jj796U+/afaPZxW7GmC250zHnwUFBLT5UFOVK2FtZK11HEeg5s1Yg4ndtqrHAJG79OqxVg7idt4cXIJt/qyMxK3LtqX+LF1joFcOoF93ZqSZV9oS0/NZq4h8kmNEIExF9jOmmwFnw9tJwoWuzqDb39mz03KuynDLvAjUTtI6VKgJbQmA6k96KsqMdPjK/AwA4LnuCc7SCWcQltX8UB7WA3YkbIsBFUsH7WiWNI+WHt8br9vzYanKqC2KrWhMf/UGt3c0QJEFad3ee5WmqZHlwGYSMGTHq74Zrj2JlTiqCbixxdRDSjJZ2Q1Sl0L3KzFwQAoYslTCrHU01J6GsOibjoOJwH2YTGwA2oBX1qP01o9H0LpThSEq5iyLttvlR+3I6rPldyKg68SSv9nct9I2y4WuWBNbTD2vTg1YqJmP55WB1YRjmh+5LgEI6r2z0+Tt5Bou6KoEndLNqOrNGlS9hRupNwZhgdnbN1q/B9XqXieo3PQlMbdrlHqtWj2S2mQeBcoGaCoD9+6iudQ2touKjBWLCluJO4s4OrVJFl1bxIv1AJlk7IqnCNQLBagnoAuaj/kuYT4A5aCR3izPRyLGa9MZTrXDC8Nj3MlHPCk7fG06x2lp6U9OwHKQgU+FkNXqXj5PuhiXEWh+QuSlmPmafNEgGLi2FFGVKJfsbzaG4QLEtlAx0GUBw6drYV5VjyaAZBTQYWJBfd2ZAkvVUJjM+07OxxhABS0yfw14dngRP/zs/+pjZF6u8b9d/uunwv6ttuhT4ixGC+58CxU7t6bSIcEK2yO5tXrQzcTg63kC8j7TaZl9gZ0L4Iw4jSOwlNYwNREITSPoLIj9HjZZhGXwVOBWJrqJwFkCQkIrI86QIgMNCtw7pdq/A8Otr1tvHr9UMC0YRADbs7PcSNLeAYUQdYOkItlTFev6+/nKvU/6zcJWQMhgnNGESx4wc4dKyUuPM1VJ6yjT8rjucbUMblWgN8zvv2sGw716M9s7G6BshK8RqfnYquymP6uKkXlxwy5/jy1oFs3GSN68NmpjUiIjIA6SA3jotYwto46dlLLp5O7CpgwgCQtBxGJxbyed2CfDyHwIbcha6ihKbtIFxgRVrIJBKxkFqWDWJt4ENw7y1FNlpCyKrjrkVv0Tj6PAKmcx5UmJ5fm3STuF70b2ACVQl0AlAZ0KOENOWFIRjc6mnJoxooGerZC5stDmzrLoDBA0LlaDv3W6RMZaAwOAugw8paawPM0KztZMHEEZpuOpRdapikCyVKG447jTih8AokEJqS/zIXBdCyCi7sNO7N1PFd1Rmutpg1IAUkacZqn6YjSdh4wZPdUZKHudZBmwnIuNBy7yb6tYAFhcOgdhUQB9DjLAJeHiOOLyzoBv3T9ApopHywFXdcCDaY+lqu8OQzwfetO0yE+a4bqUMuhkzUA6JRm7vpAIgwK06JiYvaQ/TezlnMZGAkA+ig4FClzSaQlMCQM5iwmZzhWmAeKaRY+xG0G5cx8PE4JaI9JV+pJyY9BUAB21Gb74P2UG8AZ7sk1jxWoc216P5g9g2oOI28TzNgd4hVkNYmFZWrfntxXbSqkx6Zxl/iVw5swCNU/nbdgNAK4FtL8RAjDxlLehYP37hqmMFZP+zICckY4VllFb6H9TXSNbGaeBFF1DJO2jX0TXmTEtYmOfrpBUYzJzp54nC3ptAHjkHjuSMmO7o4kq7qdrnOOIl4tokWZ9kCvbs6knGVjclUa0akCf8Ibn3Xc2QIllpUB7aOJCeNvbNFI310Kv4d/6aCRt6GXeBoAsrNG+2vqajD3KYUDd9UJvjwnLnYz5kDCdE07PEOY7jOWMwXcW5P2CrivoOi3w6gCiBUtiLJWkzwEJquBMKLuEtLAvEjYYquk+CFh22ihtR56jB8sEu+yy+DtoTt3yq92OsNzJXqGx7Amne4TpHjDfq6jnC/JhwTjOuLM7SalaTbjMFdfEKMSYdRhNC6m4MKOOI/J1jzxV5OsF6eoAup6Q5gUrZ1mnvVn+fjq1aOf1lPlRyW9aI90IAahGLUxQ+2+9K57aVopU8hhQs8gvAoy+PaIyj/ZSiWBg29yNtbqHN6JMnrXKxwyw+h7c5TahFl2IGd4w0Bbs1igQXpVQu8YouLnbItUxwjxIWaMBiXzUdA6Ta5RqL9U3YIAmAg9ik39celyVAe/pH6NywoPlIPb3pwE8J/f3Qdbo8USYzwj5JJ9RVdBoInR7BqRMWL9Pz6I30SEiqSjGMorBHFVG6ZN//+7aViAD/cpidpo+7jvgeAJ7uwF2vxPTv/E0g/b6WhTAbnRW8rq1e05rcX9oZiqajBG4eisH45vYbngX6XO0YSRvrbCJ1Xv2u6VyNimZW48f5vjXOzdYwBej9mjKmZKXATuDaMcLoEGYjI1HlH03K0ywrxZ/RwAt2ymMAk4JrzkbAwX5NkS8ACLsa0UXysSjE3BCxqAoM88MIDFSJy1K7nXXONAJPS0uhj3qSVioaMxKooqBCiY1cauckBKjR8WOZlxW8XY6SydpGKoBMSi1wD76C6leTu7Bn5cUD+C5ydcbuF7Fs6UMFZyYfuSGH4CyJrTfiRhu7GVR6DuUfa/sSEbZZXH2s/p5i+52hLID5jtadXBWwPuCvF9wfjjhMMwYckFOwkocl4ZGT3c6XD834Hg54Poqo7vI6C+yCxMNZMg/AnMxAGXHXnJmD5Y4d8oEHF1fAbi5UO0l+qwDUA4FOF/Q72c8c3bE3d0RlQljFtjbpYpn91e4OhtwcRpweT3idDlgvtfh9GxCPibkU0I+SqlmPo3org/a30Va2qepIs3SfpymBTSJYyZd98DxCJ7gwIIQIqE4sW3LxqNZVBTnBkHuii6en16KR85VQYgZful3IG6W9V7dY4Jvfa/7QVQGl1npcV38UhKmBfCFzsc3mW9DCpUHbays+n/oBGuMWqSjE0O6pM5QGlqYkQpqLRK4jS2P+Oz4JFEed8J2zEvGVLPY23PCkTtclhFfv74jFvos4IeSCFdZGwNygrM/xvhRJdBRF4kEcGr6gnzdolQo2KHJ3i+rjBgc0o1r4aAmJ/CgnhxR05bIvTxWADvcY+q7dU4+bKt7jACmbeE219VS0HIhb/9GhFtZEK9M8mfVABitWU7bokmm6VFer3w4aNGQktinAx5kAmgal4Sb6dvKcgNzlrHvolZNq4T5MjIbkgBin4sszdOeF9tZvYI6Y+ciXdL2Wef0A7tT23lwJhRICrXt254dfx7N6yfHz9JTraTgpKLrF5wNE8Yk2pEdZjysBxzo5JoTAyaZBICc0QQkIKkerIBwoQ+a7bujGYUSOiqRHPJ7cMOoz+wg3kRq/Z0NUGoV6j6Ir9pr7GkaX+BCpYhFJ175ERe0FCyp+16ipHFAHTrUQ49ln1H2GcuOsOwTirIWyw5e6VAOYpJTziowVHS7BcM4YzfMOB8nHHpxzwRkwZ9KxpALrrTr6uU84Hinw9VpwPX1gOurHpgT6JSQj+EBQZuIy76Cx9ooPkAAyZSQjvK+qC8xZG7vo11BNyzYdRV3D0fc313j2fEKZ92Ey2XAwgmVCef9CdelF/fPvENOjCeJMQ0V8y5jnhLSlJCOAopEyEhIJyCfErojoztKaWd3VZCmjHwt52gVADQv6wSc3U+LTrev6SYTuuhXYj1+NEVzKv4pbiKyptZMS3vy8DTJrek6tPx6cUbFfjcdQytHvgnc3CcGwqTQ2V6rR6qOA60wmAmcgniPNPVBId1n6R1llEFQLxQ4MwIoCxM8f2rPrnGyQh8qKuSGTvhV2ig8OO7x5XzfBX2n0kl1z5IVBJG3k6cK1JG1f5B+XtLTKA1ImQag5cc3ka2yQtKt1nwuLKpu+0hZ6S2htLKBno4J6Td5701WwFNvmrIDsNZSGdhWbVbsXcLTLCDztrD+bdxar7LUziv6XmTxJhUArYzpqqpHxfbm8WKMqG5bvaD/bs+0Moeetonpe2Mit0xP2MTCHqsUT3R9XTnAWrpG6Q8HuIisiY4ZFiavASs7cR2/qnsRRpL8NQ7vtc8yfXfUxJhvEQAB7ARYjzQuSarV9G+plxMtS8blNODRcsA8dMiQRoGHdELlhAkZGVVEtGBc8oACwoACJPhrVSt5AAEyCVV688QyY7tHcY61++A2H7feklu3dzZAAW7kKmOJqvtAhNywl7npvisLdLSLa2ZlXn9eq0Z82p/BejVkKcO03LqwJ2og1TOQGakvyNoFeOgKKpM7+yVi7POMjir6VDCkBUvNkndnAg8zqjq4lpz1OU+tzBMyfjkB3DPQVxmY9toideecZUKnotR3geRhBwUzfcWwmzEOCxIxhlxwdzjiTEFUIsagH9pRRUcVE2csLN1su66Il0tukTFrWp4KoVR45Fs7uV5bUzfWiVsQODVhsoloo1Ow3StAo9IWsdbKoJX4K+MGDf1nFG29VRsfT0C399RL7LvT2s6HCZ3WqRvriOsGbKqBYED+pkJbObYKFLXVAxvFTfDqHLF/14ku6b1S5sMqB4wlAdAoZtMi2SRrr+n+tYeUuQ8sjEsSG/k0AQwCBgYqMB87TIeMY+nxyvEciRhXS98EsizjIc2knVqlagcU0pYZgArDYV/HhksCoOmrfFIQlux9pJ4SBBRevS8KGk1sLsdW9NN1UjJv92brpkptkkaRyizr5G2VcKvNUs06odv9W1UJ8npBeLs30Zwrk+HVZTK3mu+FX48YPBpwMcfYvmtfI/rCWMrS7PBD+sdbO2gaZy0+1s/0ZzwJ+6FaFfs805C09A5a+bqmKqyK0tqFxHFggMbZEgMzFAFGOxaAVXdsF5I7mwjDPt4ktpkGthSrBRClB7z6TtuOEADkgloIlBkpmZilousq9r25x8rJHtIJV1V8Tc5owlmasNNmgJnVA4UWMWpDq+B5WA74lv4BdjSjcpLS5AiWk6YhTSuXNxWT9c2N3Xc2QMmiNnVnUos0X6c/j1OBlrd3m3QGg33SX3XRfR0ELorrgJJtUGoenLvGYhgFZ1bx+27GkAQIJDAKE/Z5xqlm9CRAqEsVS02YSxIXTECEh7qt6GdgfdPDQ9TyPPJHTq3RoDxRisQTo5aEUhNSFhC11ITr0iMFO8PKhOvSY59nHEuHPhV0qSKrEAsqmAK3yDb2jVidOwlYSSfIvUhlfb1jVBVZgS1bBrQolZpHDaATqe+kSL7XVNCNi/j2bVwkLPdqjSV8V6vOYYb3bknki7QtYJYycOFgItHgB7+IVQfuZVG9U2pVXVUXeLSJEID7gdgK6nlvhMtWjVnQe60iWark4y56NZTBDkZCHxcAVwnljnzvuWQ8Pu1QakIFSYdkK72vAC3kY9pAUx2EpaRKwKJNCu2cGPI3FnAEA2IcotVOS0Kh0WlH6hir372imSba8Fb2Sb5LAIHGjEDukQtgmVX8Ore0Roz6Y9oSbSz7Iq7CWaHIpUnkrSLSt2kT9g8+d4oJmujyeF5uPFZcQjUlacVZqMijCMaA9l0hn7FiuDfsyMqHxT7Pgg+KbU7auXNOzkbUrrHRVtZbOxmfklYhT6F3J4anWmwoJ7jRmgEbClOL+/UQArqBH4fD/ORVPNrpOAIcq/KpWc7NWUsGUqoYxwVdqphLxjRlwc699MjquoJ9N+OQJvS04CvLM5LGSSecpyMyKo7cYeaMZ/MRZ/kKF7XHYx5Rw828n6/wnnzhItqKhKIB6uq7bGQXXmACgHLFtn/SN9re2QDFSoDNQlordqjrhKIuakGt3hKNEqRGLdpm6SDTrNixAfDQg4dOvCOoDbAb4iUbhDFygwAL6oFdv2DXLehzwZCLsBA1Y6QF+zxh4R1OOvMmYnSpoiqTYocz8R+UBXHfCTOnCkotZgIvGmnkOLuyu286xlKRVSmp6WJKL+fAHYZUMOYF16UHGDjVjHu9aFOu5qEdI1cwpda40AI/BS2mY0gaKXAmNbRLyHMCmYtsqX5/hD43vRBr3f+6F090lnWvhC3YNC8FQLUe9IYtl9/qLZ3tnJrwFI4KYt35dTfK5D5NDYiYnsYmM6AtcJPm5btO0pLqdoy+bymkvpOKIGNQqKVvUgFITaqckdDNxLHuG2J+DHObTDlbySYAEJYzRjlU8EEXn5laZYGC4wSgzqTl6wnXc+esSamEeckoVx3SJCnKtGgadRdKLMcCPonPiZ27VPHI4lPN4yfD+0eysXekKZ4e4Ilk/OmClCdGnuEVcwZs0lKFaUmpjcvCDiDMdydWkvHp5PPRihELC7GzMvY3q4YwT5REAJRNDE383vataorQmLnwd4oNDf25TIHub2zQKi1jIGVr3QB4it71PcQgJrDN5wktpZIziNeMqm+WGtXj5hlexWV9cwA4+LAYDpD7XgYBr7Ujr7KxZ8cA7RaY+LOhjE2rHGvzOAAv023aGHktfn7cDwliwNYxuCacjj2WroJIzD9T0oARFV2q2OXZUzjf3n8NOyrePBAABqoYCTix6E3O04znacYM4KJmXCqA6angPE0oILymfXq8zJjlPrDKI3xjdkZFClj+nGhQZBFjz+OuFiOEB4AZQG6VDBHBZfEzsIeJuTXVM5Mxmhdw30nuHrawU1ts1bRHTkpGFxWAewCdiJhyruhyQa/ApKOKs+6E4+kMp9KhowFzFaGgn1qq6HLFtCgVbM+b+kdYhRlKWEwM2S8pjGq0fGfUp9gx9WHo+yJovF8wdsLwTKVDoooutQF9LB2WZcQuz5hqhz7L+ywXaudRM5AXCGtjIjddGGoGKEt0y0n+C2aJbvwYugiYyLnqymKVVyHyWhm69b2U0wLt/a/Hqj2lzczkInXt/Vl2ozzIqjfw/fsOtBtl/JmGAXD2kKz7bejDg14aEGIQkCIEBCMt1S2+uxM7e2JumVYNY26zVCC9dRKEdZjgpeUGltkGqYEbA+oVoI6BXQWfsqcaKTXQY0aAgIz7/TDjtPQCzvtmQe9UfM/A2YJuKJL+LAJ+aiZktabnDNGrLO0cu2to7522gMTOtLW3ah/IRKtW6AC0jJ9Q+wwyFk5bCZhnjTQo1bRbENHWqKMo1SN6T+n0vXjjXB9bqkLvnQRY7Gm6CN6fypZFE+S/WxWOmaPZvJtCt2FLg2lZvHyXNVsaxbWSmgmmm/6siwYieho5gx5adqzs1S1Ytc/SczIGxT1uwuk0p+QGMOQ8RZNVDHCFaZ+ABo6rznH6NyNPOENAOjcAxPp3IvJ53A3jAunop68yAhpEOuAaFBavKku5JGJUInRZQMohnfDufIEDLZiRpKv4Rss0ElDBuKgZCQUzCDMn8UABo6eKo57keTripf5V3B+uVFPD67nnhvxCdUlvQt/9jgYoRGgXwVI287wyvJL9dHDP82rB8ooH28yRUCd7qfTRha8UsF6umEv0+nb9nUobV85aQCbgpYi2RD6KcLmMAgJqRlebnuPJPGp6J2vQnFDVqROInyVRKLHafA8MVKPVqjT0S/I3Jvaca0T3drw6J0ynDrv9hD7L9RMtShtwMyd0VFEToYOkoEzImFMwncuMuqsiep1CGJAkdUCFpV2E/URvA7tfGoVadUDr4bMBMLaZWM9U4krzWs8krxJwAy6+KbZ9m7cmeA2581KALCV80N4hzpwcTz7OqaIJBDs1aQsuprZwkOokPP1ZarvtzqAAYAEdFsWnuWoXVbTc907fqAPcF/KEVbRIaMAFCwF7IA/yHQsATMknfulNRqiXGVMdsOwKur7geOpBxJiuBvAxNyGsN0lj1fkyclfEz64Q6ghQTUiTrk1aEm0LjjFBJkwEoGCBtKmnymoWgEptJaYMaQEAAAmt6ZwyuDLuGmMCQO6HGu6lw6EBGKABmcCiCNDR+61sjLOA5mJt/Zae5maBXBTvmji9pnXLEQMOlByUbdmNlatsbulb3+cbuT9vTDW/IWyzz1ABuJfLr74bGihBALFowVUUrfp7sAEy3yCL0VLsehj7DD2+gSXXed34Hvpe/bCcq4jBq5hoJm1D0mlQPGpQbP11Zqo4pwUVzZjN4usaPvLICTMSCgg9FRxowY4qLnQdnOPFI/MQMkLglu02k74/ZXtnA5RhEJi6VXmbICqItXxwl9IQ9za63ubMaD06VvlCkwnEfCCwsgIX0x8GF8IyZ0yd/tSMHcT7oaPq7x3S4oj2uPQ4agQJQIBGZnBh0JLgbe03yB8MV3OTugmKmQ95FNkWGJ0MCEAhSdFAwNNcMvbdLCicCUvN6FLBmBaMqp+5WEakWXxR5iWLwyzpuVrkn2QRMcbJr1G8tKVdewCtnDJOUEE4x7Fcz3VETYfkzsARgMS2BTIggKeIT8j0U7b4mJGaubxCo0Rzju07WbyWRUCXUahFohbr6WMN26wxGiiJk+myAGdJTAS7BCahq9PCyJNO2uqFk2agDAlF2QSQABGg3TcDIT5pW+okAzVpufrI4EEXZEiuHJTAiVF2Vf1ICDQD+SqJPrVjCTArUJcEuuqQr1VUqwtAHRgYK/r9jL6X57vWAt4ToCnNVOR7NJdOuE8K62KQLL1HcHvxZUdSYTZDQbIBNtafCpoqUAHulJU1zZA5nIYqHNMKwdpjyMnKvTJ21/RzRHAPp2B/z/Oy0iXR0IMoAZdv1Wh8c5swJekWHVxaP8dBQybPrb5WNlb50TMDAZisgsfNir8px477OcC5zdHW34RVun47JzkDaG8NALzttD0eGqOSbnkNcGbPS/bRAl7fPfw7Mid2LPlu8PoNkdUV1ESiIQwHyMTCxKeCXlG6eJkAV6wggyp6/TLalQUHKjgqayKvV5yZ+lwPb00FV+dm83ZgxFYFKG9ye0cDFMlH5jAB6Ipj3iaxR4uVE7NqJIAVLUghymx/b5RhfCCYJJIrgwkLyTI7TvWJTpDAcwLMIj5oSQB4ymRS9mSXZxQmJDC6VLDrZhy7DsuwoJYEsz9hAmoioFITYHWspj0VlCty1wbOAoDN8psI3EvPhpIgZcljQeqqVxnZVvVcQIAqN1BBGNIiYt4OeJJHPJ5GpCTvX9TVkCf4Q+1tv+UALeKwCLdrHS7JetGYbujGPdd+HLYIbCanltMO93xbUmzaouUpR6LWimFoqR4ALaW1aXbo3WIjiLFy5GFoDseAm4ZZSQuXAloW0FIALTNelVPmVs3jrBYIZQSWXZiwgSYS1LEXRaapyrGqdlWlw4Ld2YSc5RlIiTExwNcdWBnBVEK59FVG6ZMA5oVUGEvCnBCElcyidSKSagXTr6ASeKioI6FOQOLmeUIF6OY10CqjfNd8hKe4uiPQX/Pqe5ZBFrO0UNBSyDXi6KFkzIcxI9uFU7v8Ui96IJpmWSTNEl8ZXwMw0E7gtJCn+0gbm6I+xbFbCpBCl1o952bMpWNuy4QAq0qcJmxfAwlnBeOmehdGcYb1tkjdqjZFHEstKElt0SQALjolauyIjucVKNgCDp2zXBxe18yJ6etWLIj+lzbHj4JaZ7X93HCD5XaQnaQknrLoTXKqkprPFXNJyIndUHMqGV2q6NXf5JBmnKeKGcBRTdiSfngG9O+EAzFmMAZUZ1cKr4mh8zRjwhH7PAfh/Pqe3HQT5pvz8TfY3jRA+bf/9t/iH/7Df4gvfOEL+OpXv4rf+q3fwo/92I/568yMn//5n8c//+f/3JtW/ZN/8k/wnd/5nb7P6XTCRz/6Ufzrf/2vvWnVP/2n/xTf+q3f+qbOhZcCrjo7mq/JSv0tVD9FJG6ujdHFMJw76XvN5ROmSWEOeUQxZGtvhFscrxBuBVAJdUnI3QLWypiqYGXIC8ZUMHJyUNKrNkWqZQY83o84lh4PTgc8vN6jVDnGsigtzKTZCtWO9LKI9ani0E8onHA197ieeswlo5S0et8wLDjfnRxpnw8n7PKMZ4Yr9FSxzxN6Kni87AE0Wm/mhEVTPpm4iXlzQM4acXAWmE8MpGLVI/L7SlCsFLkDy3Bf5N7ewnfawmaLhEWutdmHr9IoSkNLyWEFnpLWkEsBcg/ryUJD9lSOATMOUbcxP7EBJk9TA9dQMa0JZAExB9N+R17ODHiVgJXNpoVdxGcT4rIj7xJsLRRsjNtE6pU0yiBSlbeXHbthYNJO2NbDiQjIfcUyici1FFl20onQL5JSqgOrqyuACmF4ACw7aTPPY0U/Lt4JnJkwDAsmJpRTEnajhxi4KZnGJH9zUJza+dZexbq9lBuXnpBns+2nVsVjqUhbYLSlvDBf1NI2wGphdDZLq3rM6+dG/6VQneb3Vu+/iP1tbGR5/9PacpZxFvQdqyKE4FUUPWFM29cY6gAytlF2ENr6pm0ruBR3kl6BoMqwVFJrd2HHkQHv502qP9HS9BuC1Q1QiUTBKjWj/7UUomu5tKR91W3egAfavgCaLMCWpKwfoWyLf35tn8kdo+sL9uOErM8XESMRMGiKft/P/vfr0uPVcgdnywk1P8Z5mnEwRoWAgQhHZnytjthRAVBwvmJiCKOumfe44IoZ0YvOrqe1LAFwu8dNCsHqG9jeNEC5vLzEX/7Lfxl//+//ffydv/N3brz+i7/4i/ilX/olfPrTn8Z3fMd34Bd+4Rfwgz/4g/jDP/xD76z5kY98BL/927+N3/zN38Rzzz2Hn/3Zn8WP/uiP4gtf+MKb6qxJBIhorCBZ22q7IFZujI0VOlGr+ongxJqsBaMhH/TGo7kXAVxM6KZUKaBso/F6xqppk4KAXV5UVV3x7HCJQ5pwyCcc0oQdzV5nbqY4l3XEZR3wJ8s9nGqPO/noxjlX6u6XqKrC+oiChCH2Vqg9dmn2ltkzZ7E55g7P5ktkqv7aebrGQAW7NCOhrrpfPljOcFGk0uhyGXFdekxVvAirPSCpotbcHmLArdRjhFKzRKVQkSxFcTKlJm7W6ixwbWZWlpePA9+2agZmpR3H7jsglSyLVgM8TQmKmbOV1mdlZToFNB1UZZBeUmYWPZRXLRFiqWsUA3JR5aqyNOg6aZR2WkC71gdpW+7obKCNaYvuNnOLVWk1zwagjow6CnuCrkqG6STTTO4k0ssdUPoMnkmeD9Z0zFG0VOkx+XlYZFsOclweK9J+waCaFgKURdHy+FECAKrJ6l20kkdSOkkfZ2NHLEXLCkKsQomUCYqNNgEgz9XF8qZjip407hRr19wEnjkDVeeYnEX0qmWwDLQUX84t/QO0xoIIwVf0XXkam/nveOloS2VxUc8RVUIypWaOadHzbUZqxm5Yyt3KkmMZdqzW24KTlFogaiDJPs/mDyZgWZCWAhdHG4DIet9LABtZJDVRcwXA3bcdeND635y0/5m+Jn9E620GeJCGugbM9rmroNfOlVtQYJRLIknvZGKM3eL+WSacrUzoU8U+z7ibrvHufIF7aUYm4NnUYSSZB048Ayj4i92Eo17XTITLyphBKFUuwnmqOKOEd6UeT3jG1yrEl0vXQ9Md8fG0ZsnC2NkoJ77h9qYByo/8yI/gR37kR259jZnxK7/yK/i5n/s5/PiP/zgA4DOf+Qyef/55fPazn8WHPvQhPHr0CL/2a7+GX//1X8cP/MAPAAB+4zd+Ay+99BI+97nP4Yd/+Iff+MlkCd2IqZWPBsoxuoqu34Mbixvl3AzdbLPSPi2dkkUT2gkzDB7WsreAwlcVN+ozkkgYmoUTMmkaJ0n51718rXXp13ghP8YhLW5DPHHCFXf4tv41AKKeNlOdK+Wsj9yjgHBGk4uaZs64n06YObkY6jGP7gx4VUdvpT0hexnZGU3SCwhATwUXdYfLPOLRcsBOE/dLyjil7N8pp4pFn3bHfdx+Ypkm+cOnUSnr4DYg6Llpe2J10iNu9+QWd85VBZZO9ABuTuaW/ngzcvK3ejOmCO3cZcLO7fuTTKgeBRqzYuBZN1/EEknKwYCJL4xVq4ZUTNt3agbFWqkCt+b2iI2bmZ63nKcWFW4nUAEncPt57irSrqAfFhHvlYScK/pccGICdRU8EHjSRa5CmxRCG/O1Cb+MaKnBXkooa5V0EUNE5F2WkvySq1jRZ9HAgJr7rKV3zPbeAFfNtlApYCLZB8aaQD+72j4i9Kal+GLrPXS0JxKGIdxHAxsFbsImJRftvsZyY0sTAU0c6iJxcibhaW20SeUAWJkpkrOgAc4qSCDqgFFF4HEOJvIqNPnn5jOi15V9HkvpcS1Ls7wPhnGwoLUU7wxAVmpPAZwaaFDmpIzkaRybnwTAawl9TPcEEG8gP6nBYu3gweyKKUZ434aFsNSRMBJo4EgBkDXuBICqVrO9pnHnkpGTPJRSYNEMQQFg0jdWvR0zVyQUVFQUMA6qYu5RMVKHiopDBq64oHBFT4SZgUuuABZ8rSR8rZyLw3gHcJda0G8+NaHKUtbY5XU1tLdtb6kG5Ytf/CJefvll/NAP/ZD/bRxHfN/3fR8+//nP40Mf+hC+8IUvYJ7n1T4vvvgivuu7vguf//znbwUop9MJp1D3//jxY/nF0LRqDWKZmxt62UJlOVJXlZNXOpiq3FMIwbHU8526mWGTKP6bP4K8qP8xYV6R3HlSqtu/T+lwXXrc669duJQ1u5ep4pJ7lEq4r/XmmaRJk5jqMEYqGEhyg+e0aCnYhEttAHWgijNa8LWyR4IM0MvaY0cL7tIJozf1EaHTzBkDCgYqrtbOCkSOnJWdWZCpokfBEWLeFk18AFkoypK8SsOuCWd94qhNBm2RIKS4oNrbiFCNog207dZN9vW2lbvk6+Q9/wyarbduC5HhqgcL14abbGELoMsEwWyRebT5N0txHbPuReClqpomqlUrFATQ+WJNjSLZll2aAWEEm2JSpXhFAYHYz1tkG75urlgWdU9lQtcXTHNSfYiApHwC8ol9kq49sOwbC8IdS8lxkmPJJUnCymge3oSY3DN4ljGUWFJLVGTSL1HUrrb5bn51ks+2RcYrLkj2URW5XOclaKXC+F31RMqaQzBwArg3jUf3VgpeQ3o0h/5JUFCaky/CvDzNwYt1OSkgDRG1MAFAYznteY1C4A3QANB0Z0BLl4UH1Ob5yCLJ3xWMhFRCTLXFbrp+TRXAgoCiC76xgI0ZFwaNu7W4H4CnPg3gt3mfGwtij7OmSC0Ic6YypIKiRkWMAwUUwZiVuL6EORQAlpIw14Q+Va++rEwoWuhgf+tSwVmacKAFPbXmgI/qhAvdf0cFV3phnk0TCsTMeob0iTYhbQLwWhWh7UvdQ5zlSW0IlBSYZ6CyA0cP/I06eb1Gj7dsbylAefnllwEAzz///Orvzz//PP74j//Y9xmGAc8888yNfez92+1Tn/oUfv7nf/7mC7XC+j04zV0gArRIi0bNidGj20XLotNg5CUHsAky2FJX1og/0Hpx4Oh6zDHhiEYoSB8DxlTF/OaQhLE4U0HEw3rAjmbsqKi4SaL9I2fsSOi8i9ojEeOcFlwp7/dcOmFSdqaAhBVRuF+0XOx+mpAgg+45ks97tY4YUDHqsWWwyrctXKUnA4Axza5hqZykuVtRbw1ag7Ao7rpt482DZp1FCQCpFfvNxl9pfS+BFoVZBc+8tPxz7NkR2RQbL09TaFgrsNHUrJgQ9T2xrTW4pBaJ5+wLBcfFEbrAheNJeWWY9GMFQ4H7+DQhXrhHYWIkBmA+I3beEftpFIrO0n2kOpSKZcnS+A9ALUn8IAAFNFp+fi09mgBg2SdvBGjMDRHrEGCUJWmmtvUI6fqCpZKLwnEiByFO6dt3QluU7PdUVOQYaPYmAISypwJOhN0qzuj5PeK0BiQqbrU0sqeFuk6OUQSIe8UhABqGVSkzVTTmL7ey66exiQtyWqVPaBsAbFlQfzOLVioygBaIeOuJ0AzTthtahhSeZUMOcgyOx7Jn35gnIqBU9bOBg85YkcYdOQBfnXqilmIBPP1nIMQZlMUq4uJ+7fWtQN1Bvw2dsQUKSPpr0MVwB9SB0Sn4mJYOMzHS0qFTk81MDOQiwEWrL3dpQibGkQlHABcswenMCT1VVMCZeQB4VLN7pSQ0ULOjpO6zwFXttRJIAJ0wVD0I86pVgd9nAAR6wwaZbyIb9Ma3rXL3RqfgW7ZvtM/HP/5xPHr0yH++9KUvyXsKrwcl0PxQFC1zpEZNRxKFU/Zfq95JrYOoVFFI90smdd7UXjxsjn/2nWuj53wQh4mQiKUUjNU1E4Qny4CrMoj2JM1IVKV0CxxKwuQcMxhnpNUzsNPWB0LBRE/AWRIjnSNn3FUAckYLzmjCoCzNkROuaofJBa8ZD+seV9xh1tr3maFAJqGngmPtcao9KsjPVb6ilCG7SDYBtC9SUaT0ZAtBNjeWsIpOLLfPS3Fxp9xn0QZxEeqYjyf3u2FzVjUnYdN02L011G6sguk2TLj4tDbz5QkeKDxNqo+xiJub8JDDImZCShUT+99UDEvDIN93nlFPp1b9M44ynj0N2ibZPFXkSTpNZ3WTjZPmKjefNJ+uOXVJ6WhkObJUiamAVQCFsCY5NzO/qsZqdlxaJL2TT4z+SRUX15MEAl4OzEBdEmoR1qTriwMWayMhH8pAkmaddYRXAFUTzhJgwkix4mfpb6KfQUVYnLTo5y8cdAnU/E5yBtJalM/T7JqT6CQLwF2qnfkq1cFKvIcA2liwxTtJJQ9PE/jyCvU0vXVj8c1uXGEeLfLF0ioI8N0iRWnPqgYR9t0iw+HHsSAk/gRRLEegst3UxJGNeQ0al1b+nSRVElKV8l4B516Onm7+OJsGDarUyHC1f6YVaHfNnXrwRIfmmCYy1lLSJTpe7bi5fT6HKa2y6EMWbVNivXNsbZi1KCNuPSQILUzoSQLTFNiRDMaOEs5TC1iPnHBk4MjAw1pxxYKZjtzjuvTi4jzXBsLjtikJf2opnhdeeAGAsCTvfe97/e+vvPKKsyovvPACpmnCgwcPVizKK6+8gg9+8IO3HnccR4yWt9xuiYQ14QquQiEjA4iAJ7InzC0yjf4noRz5ts37JGikbyXGlnu0Es066hgu0MZ8bYJOBLe6B6RGfUwLymblNre/gSrOE4mhDouLX2HCWaq4ggCTnoBzLLhAhwvt5ZPBOE8FPYCv1Q5HFcX2VDFxwkmfkBNnPKojLuuIISDnq9rjCj3O0+RVO7s0Y0wzElfcoSMeLXskYiyccJo7FWfdfosMuN1avpcJNSdkEy3b/UjJ/UxaaWLXAGmBi+/aJFSbJbw7zrZ7b3SzixafXhAK89lZgaQSSlRVe0AWcZvpnOt0UitPBYRxscXQFgtz+QRaRHt91Og9AWObKb1bbwZql1TEDL9vnAEkoGbZh6rYzkPTPLUTUMBdlTJgbZ3QdVWrd1olTy1ZwIQyMtbdOE9wcWGaGTkx8pGw7GUfKlK2X7squpNg6V20Z1XKFamXSZsLoWhXtg6kTBEjq2ibqrA3JsZNRQALH8Xy3hejChDUA2XRXiJWBjzNLYqPglkE9ha43VyNKzDLgsvL4qW1loqw9zHQjuOi729KbPnGtvjZG+bk1kDz9bxIrCDBxnMsNw5Miey7doL2FL4v1hvL+3husXxZj7kCHXY6CiKiDkQOrp+JwKht2UVSQB8ZNzuGsZFoLE10RHMhemmf56XHtR0mss5SJWotFQyUSGmxWVokXXsKixPssQ7ue2J+Wz0YvQUNAK5YWJNLrtJfk8lZeDCUgcm4qj0OaUYBwZrX0sIr5tC0U7eyZW9we0tH+fve9z688MIL+N3f/V3/2zRN+L3f+z0HH9/93d+Nvu9X+3z1q1/F7//+778uQHndLbXFhtRCWZD9ZoCHi+aaEnsoaotGeW6ovpX0AWBzHkw6sYVcIzXwAgDeQA0Q4HTK4nBZye/LLs/Y68+97kquk7aJPaQTztOMQcHE14qUf2UCrmqHHVXMDLccflQzZhDOaMGOCg7EeDYVnFNCT4QeFQcquJekaujEGRMSXq0HTEg4JGka9Wy+wrkKZnsq0slSn8yLusPddMS5/gDwUumOxI4fAGoVdMyFgEpNUJmwAnNy4bCq3mGzBacAOLSs06IhT8vZBBn7e1hVjG7sQKbevKfGsj3NzVMyVSPjeZ0S6DqhS62fjgn/rDQ1lKemw0Es8HejmnjZdaGbVLmWIXOfRZNlwFspWjCQjxV5ZjeV8smYgXxSPxAAy54x32GUQ6t+AQHUVwy7BeM4o88FfVec5RBwoueizf3yEavUDqAsBrMwKUeIM+xMwEKoU9bUUdOdJAVDOVd0XXGTQkAZn4GxHFhYmF7KoMvIq0qMNDHyCVoeHyZV7cXTrARCVK4pHuo61z+wMSErIbPer1lZELvuQXMCzd9bCoSIQPudjIVhAN05U9+bNxGCfhM2ytKxNmpOVh2M0YBCZJFsTCctuV4FF2Hsr7Ywj5vQ0issfR/t3aUanmi6GUGNO4oz+/xTe2UDjd0I4CDqsXwus49U1sTE0wC83N6eBWNLamA/VuLc3PazLQYFQPvcLXsCRmPj9WcpGaWSWEos2St4MlWcaoeLusPDOuK1skNhwlXtcKHrTibRG17UAVfc4Y+XA/54OeCCe3EK14thDM0E2bddXJ0/lAWL24opexPgBPgzMChPnjzBf/tv/83//cUvfhH/+T//Zzz77LP4tm/7NnzkIx/BJz/5Sbz//e/H+9//fnzyk5/E4XDAT/7kTwIA7t27h5/+6Z/Gz/7sz+K5557Ds88+i49+9KP4wAc+4FU9b3bzsjPoYlYskl6LpVZ0X5zEidbOhkB7z7KAau+iQivJ9Hp3BpjI+5JY6ZgcG2JaVhKYC05zj7lfcCw9dnnBu4YnuCojMlU8m59g0NLhmRMyFUeuR2YcVFfyWh0ctRYQZlTMnDBSwVmq2IUHV8rFFF1D0PLzecbDmlApYUcFZ7Tg2W7BzDZIhfbrIeVlR854Nl/hqvZ4mKTd9qPlgIUzptJ57yCn1wFgSdIrKORY281q/xVfCbtW5MLPFTWsdDJ1jWmwhmSeg6YwidWq96XdXx8jtnmU9hQ1KCkJmNU+OUbfWzTJzCAT9m3AsosqAZmUvUS+LQReyqnvlWNoo7RpBnVJiKqcvK+IC/psY0m7SNpSPEjEAl6M2GSSZWAh8MiS1uvFwbhWElbDMWTF2M+4ZKAsGctVh3SdkK8JeWqgvvbCTprZlaSaGHkm9E/k2hQC5tT7LJ6ytJTvc8GslQ2pryi7IgnTRRq8WZRKZW2YuEpf6QtUGWmSfkXSQZa0okMWXJoX8NVxdUu9xBhoLF0E1NwYrubT1JgFGoYGQC3YMl3KNAmblkhA6KaD79u6bRgRL0qI1UdWZeOmi8GTyObiG+7Otd2XaAAXmEGbu1eRuFeMtLQTlyK6GDfvbEENpyaStRLhYrstWFvgGzhgHSfGqqGxIVtNE9DAixmFx9J923xfEoCEPnwOB6lAQaseIgU8PXtTV0vxd5pCrZXFb2sWJrEy4VptBQoSeppxwT2ypnr+pO4xaaXrACmSKCAMkOP3EMblqnZ4udxFAeGl7iEA4OXpPq6Wvs3xtdzOFv4ZtzcNUP7jf/yP+Bt/42/4v3/mZ34GAPBTP/VT+PSnP42PfexjuL6+xoc//GE3avud3/kd90ABgF/+5V9G13X4iZ/4CTdq+/SnP/2mPFB8W9XKS7t5d5INoGT18BhosQcj06r51FYJHrdUWCSjNiDDgmu5eOnVIZwfDcWp7hQG1MIJj5cdKhP+4u5VZGLcT1c4T0fcSwUzi3akQBXZYJynGQ/rEOyH5W+2z0XNuIDYFJ8n6UwZHnnNGYpOZaBrANIc6jxl/Imq5r2/gi76OxLdzOO6w+O6x5FFh7JPkzjdlg5zzjimCiALewJNAczkjdiiRse8UETYyfAy40xiH540I5oIqGJiFtN1UWMSjczI7qlFtDY+ohbAdEhPeXMmz0yshj5M9OsopKW4UuvVYikf2+f/2977x9p2Veeh35hz/dj7nPvL17+uLzGO1bovoUaomFcCEsFE4NSqjVKqhgoVkSdaFaEgWWC1TVFlt0pMi1QaPRyoaKuGJGqg0hPoVUmTOC0xINIn4kAfP6IGXgw2iS+27/W59/zYe6+15hzvjzHGnHPtc2xfG3yPL6whHZ1z9l57rbXXXnvOb37jG98wIzAFOuILQYCr5LoYJR6jTLRBWCtiSV1A1fbMhNA6RK8pHB1knRqqcS1ghQCw6jxQs/SBaiJ8E+GrMBJMeydVQ91QiSPyXgUMBN+J/4lpYZxWOYQG6L2apTnVpizF0dZaPMjH6JKmpe+9fswOVljhqojoHLhhBC0bRRTxrLFDbiX3qDdJh1wsGXA1vWoMCgC41ZCbhnrtUtx18nl1KlA2oAHoYK1CWnOaRQbMI00RFx43IUgKyVJ86j4r9aGHqD8B5B6rCm1UqfNTgJX6Qhmg8l70UMtV7tpdVE+OehSZVwoKJsaAmjXN9D4vTKBMSVFiLGCxmCiLMZ9iPNAB1vxyrA1CKrkfBCin8V0fK1mNfeXKjJHg3NI/qVKCxswJgJHmK317SM4JJhY3MEMC9EMMYC0zdgwMQ4UhOAVSjCF4LADsDTWWscaZ4bgWYPQ4pmx4B/HK6iFSgF1usB3n+NHqLPZinSwoxEOrQk0DzgxH0evjdu7JB0XHXNLPbdR+wzs8ly7yzxmg3HrrreMV7loQEe69917ce++9T7vNbDbDhz/8YXz4wx9+rocfH6vUF+ixUWve18CJ5fOLbUbn79bQfyloW3ObFe8Dq+ChwllTurM6XdCPKLrBAZWURXof0UeHxSC02abvcKxdonU9evbo1HrYWl4HJi0nZmw6QseMQD3OxRlmmtLp2CUQEpTxmFHAkq0BlCq9VfwKAFfTgA0dfDtmHKEW27SHhggxBtTKpEgXS8IFbtPNuIo1HDj9bnxAWw2onDIc+sWwDsbJATFAPS4KypULnwkL06Ko6DVV5AAFgNwPTpIuZT3KEt4SpLwYIhkaFfexggygz0ZtdQPqOySnWRXLJsGvpsC463MpZ4xpkiAiNQ3zozSYG1S35QjWLTeSVNOgJk2xAKEnDJsCTsyllZHBOABhTwBAq7mqKsAR6zzPaOsB53fnwrQFgt/1qHYI9Q7QnpdUTqyEPRlmSKkUmyzqbRm9KRJW3iE24rNihm12i1RVEH1KHdDFSlbAlYAn9KKTklSRfEfDTPa7TqFzRdKuwsTCgKKeDHITWzJrtT9SnZkTQO9JHXdclUswVR+U0jvqEmtlxCO90ciraSjSmod3D1PbJINKACNh6wiYFE6irL2FaD5LWkBEzpO6l1wGM0v6iCgbKiYvmmJhUba1gI7r+nukV9FjZH2PE5G4AQUggQkSfCOVNE3BkJg2xdhxUq0SZWBTpvxTib6xIREp1WNRVvEkcOSLx0nZnDKtk15s71kJJegigAleS+5N89UHjz547A0Neq6SAeg1fjv5ZW0iYOZ7qcyEx3ac4frqHM7GDdUuDqnnzlG3xDFa4Uw4BkDkAE6rVaX6ST9rXVQRkXRnt88MSG1NLiYu6148AEZfYjYK23QntjIpy4qtp4PSpUCxmuGiK6YvSt2IAAfEyqm75FiDYt1e7YbkGbTvja7ENPceQkSIDkN0mFeMzWqFnj2eGjZxxC+FnWCH7Vinap2OHU64KIBD3/Im9el5Ax1RUzMAsK22mQ7ABglEOR8F/Bx1PWqdoB2kzv1sXKAhQmBWYLTWqRLAVtgEIKXG22Em4AWkKnLZ1jnOX3onuX5AV+KdfklVvAVglOePldOqDVudeqDWndlKqBA17xPDRZdWUNaMzMANlYxZSS8fZngvg7yCDNaKDiBPWOnxfk9WnQZGgELozSkdkH1/Cm2VDdT9AGAQ3U8lK5xRibw387Eoz69R1hQI1CtIIZYqg1mE9X9Cb/eAMIVEnHLk5CJ2Vw1iJAwrD+odqoWwIvUuo1oKUA21sCdmQe4qRr0DeLXijyvRwFS7hG7mMCxrxOBRN0MygauroK6XABFj0TvAE1wdwDNC8BWw4+CQK4jSREDqwxKRgDM7guuiVhPJ/cOedJzRxc6yYDQKcLL+WfFyJSvIssJHB3QRbWuamaqRCDb3FNOePN6Dh4tcgr6QoWNpCfyTTgrI6cWiEolMn1Oyf6VJXWTwclUwqJzAjrAnhch9zTtlBHgs5aO+QlyM/4CkEhPAVuYilCXtBGlipv+zA8z11arKbA6wqh8qFkjExesUADljkJM0oNg/kL5zJro1g8L0Op+fRyDVNjr0TEnDGCOhqgJmjS1OtEyYGI4iNt0KMTo8MpzEMbeE0xx7hINDxMz1uFrBCwDscgOvJfxm9LZNMxHewuFsOIJlqHWaU21S0wN9P06rFxkNqv0Lx6C8mIJDlHdgedv12vsSSR+04khlcjGJsEYmQjZIlWwKkAR84AOM2vRHUDEVVB0nOjpo6dfAvigvlmZOtVXTpNp0wraKlGb6Hk76HjWAc9En8ZLUqnPyQgGgAqhBtST2UfeJOTFNYlcwSjNiNedB8mHZGubqjSLnV6tfipUYL4dKumiqay5YGBRT1icKlADHhQsvIIMaFw6w5edV9DNZrw4YDXreix9OUsG7ERiFrsbKkPLkQ0z1hABWcEmg3PSvMOvifsg9dMr7WyP1GlIxcF6duwxuYky9ebgfdEJhoOvhugphox7tN6UyBk7VacnHoSgrjk0EzQJcLYAktjIwbsw6Fa3G1CMkMrBYNQiDBzoHtxRxbLUngMBpKie0hDCTBoXsAe4IfiWdhVPpc5QrFmuPwTOippKszUI/eAQWc0Mihm9DqnYnBuIsIESAO6k8cCtjJORXrLJ/hetimkgopX6UQS1Ac6qaKgAkgPEqPoSsnbKU0JqWwzpSj9JB3kn1ku7HOlRTswnsPee77vsT6X0p8C8WdoicvnP7IrI47hZ6v/0VP2uP1wV4KV3BDfgUrxkdB5wZlzV9Ya7IHLMaCSAYC25ghyFghZAYlMSuFCmipGtRxjj14yHdpS+AC2E8d9hxae03MshJjxtLHQghEKoqzy3eS9n9YtWAmVDXAyofUTkx1gzsFJR47EZhNrwacQIOe7HFOT6CjWRRkcF32X7Fa7fjhob0/l2IooOzz2YtTQfod+I5kH+XNUAZRWEIM1K5m6PhehSlqCnK/LAhPkAmuDXfE4u02mLSckuMbm7ZSO3gfUwUHAAsguQFN1yHDbdChEs5PU+DAABQYlS2B2FJtmKFq92QatctxdMUOVkrLbZHZnojSQ+efGpH9YsbmOEp/71BATMCglJ8J/we9mKLs+EIoqafBnaJPUnBAMe1C0XZcTHZPjPU5EiQt6QpVINSMFppF4bGzXzNenkUDpPldz1pPEy7YWWIIy3SxVON3/dw1qIhi1sBpbqDrDINfADYD8Jh79HlUj6zV7eVO6kgUA3byHspi7U0T4xwXRAmq6CWyzCGIQ/anFImrgmoKiuZl/SK9QFhJgyqRwrRoe8qhKWHW3hUuw71rrAn9UJ8RvoNaRQ4bKjWhIA6IIkNq70oA73zCC2hWhDC3Ev34qhVcqpJMYF0o9VD8lYpuc+GWrpnU6DU6I2GDM4ock7t6KTAdj8BwKqT1Fy3tgwszB/zyl7vU1cIaC11h2JtY8ZtxpJE/VZzTK8fmaMdtsmgrf7LaiRLUa6JJMtyYLOEANaatuo+cskxjcdxLcsvWRIAoxRwqWWRB3TD9e+MHU8n+7Q/BQVJMwL9H/leSCyJjfGU92P7cia4dnkbipmlS0yIpb8LoELlkGQApZh6MlihophMvnPWMVxwtDwZo0OIEZEJ22GGrbiBTbfCDH1iTRoKcIiIcOhUalCTR2CXdCm19naboUfHHhECduTysqRSS4BefhdKQTPH57QwvKwBClXFZAO9ECPqMK8kk6Ykla0RDI0n6t9ynyZUK4+lfTkoMLjNKibzTzDhLGsunhiyulsb8D0xGhdQqaeJmehEOOxqbxwr5QWknDggb7dBAediI5U4unNz+zvqCGdUju4hDIdmduGIk0tgYOCkA84zY7eYpGcQkNKDxMwHUHfBATPqcY6P4KlhE8tYSy8hBURG54cgNfjoXMpRCyChJACLXle3LIO+VUWZS+q6ziSlc6xCxTvwkAEGIxQUMaft7fNLn6P348+T6FDz+LbKW195271q5cejklbKIvA02ekEtg9spYlMV7m2jxBUQ8CSiyetTtHjROtfUlDUKdduwsKGQY2U87bNkBwt5RAEX7AagPQICb0Dege/JFQL0ZQ0uxF+GWEOnbHS+6HSsuWa1IqcwRVpmkXKkas9QmgJfePROwZmkmKsfYB3kkqtfMDxthPpCDHO7W6g64BQOcmXd5SE2ybidgOnVS4gYMVpn3kK5oOirtIF+B19BjYAWwpHf1MlOhRp6FiKoF12iU2fX6GvilGFtw4wszZ3eADFigMP8rQYafyskszT+HGzDPC077WjKK0i1sS0B24PPC1rksImTbvNS4ACHa6dvkdG7t5dsiuU/y+9VPZpUdY0J0DBsug2qX1QuZ0eo3QxTmXPxtiwfaepyLCpyD3klLtYPxCGKI1lt8NcxLHK2tfa4sQqQyOc/K8HXmrVqIlqHUXMKGIZpfebpZZS0QNHHcdzGj57jbF+9hd/717WACVrTIpBeoTOXFJ7lyY9iHGMpIuV9YEuhYVos6yFH5XRcr7pQZAqHvs++tKsTcrDGj92hQ3scMLvYsOtUFNMGpBrvUOv7a1NM2J+JiJykm07dqixShoPB8bV2gOnZ8aSY7I0rsHY03PzhJQuAoKWnold/h5TdiaEw3aY4/wwV/+TgAhCFz0GNd7iSEDBnoi7IEb51pTbL77kcgAGdZprXxM0J4BprJYyAJlCH5s4lWzaeg+PUd+bQ8zwcAigqtk/iBYi13KlbeXEch8nWiBPlIlh0i9/KPZXCoP1eiab/ag+NEyJOUCTB1tLqwjLQIBjoBYX141Zhw3NdXfBo/EimCudK4fo0oCJCPgloTnPqPcY1SLCDYzQUKqqCTP5ASQH7xsBtQYifCd2+KERQW1sHILzoHmfABEg7EnlAxoflN4mtLWca1VFLH2D2DXFTCW/EqMSOE0ITGLcRn0ADdKMUC5lkXaMBfAoQHKpz0hmbMlEL8pnaeXg+rll7ZvLLEqh56CmEUHOYcV6ejTdo8YC6lhaaBCYpbEf2WIk5u/uepi4UvY9ZlOSfUSx3wTu7UM0tnGtXblouyLWvnH6pLBoUK0JkO97e96YDOt6DGSGpBTdmtDV2GJLcScWxljkYr5I21V6HihuzTUWxs7FqtacnoyYFapRW3CILqbq0caH5FhuEdhBuBNL+yAxKUuuselW8NRhGRssuUbDAUdJ+sdFcsLQK/gRMXtU88zC6gDIC0hSnV0/Trc/U1zeAMWivOELa/BUnQOg7NMir7FBM4OVVL7KMjlQYR7GZnlvCNxTymFaTwdxkyWE5E4puWMruyRi9NGhj9IFuPVD6pEzcz02qRORLHutV5c7uSaHmgOWLHb2J2mAh5QMRwC7qNBHjydiixkFHKVBPU2ATXIASWmxVvKiBuBJWJIZOZyLMff5gaSKNgjoU62cljsjC1xjdHBgVCqIdC7C+SgTWBWBQb6RZJPT2koFQGKkrLMuIKtUW2WW/ghcDNyj8vHSE2FdEKdqcgCjcs70/2GmeEIAk/aYLnP6Onml7qyOxl/ovgejTvcmG7Niq3hlAGErde+z6NYG+hhAXQ80NajxWsnDicmiwNI91RH6DUoDrjAZDD8LaGc92npAWw2odTU/8wO66LEY6qSzWvUVVosa2K7RbDnUF4BqDyKMVa+T2AhTEs2SvtF7rENhpiVW2n4FVBVjmDGqJSHuiR4lDB7UDJrWYcyqAfNKBuPIhHkVUjpysRJdD9dRmJmy6WdaIZOwUwBi7WRdsnLAEEDLTisVctWKjBeZyUvGgNFYsgxCSlbPKrOSRqowIWMeRsxDKsnth8NN8eg9lSp00vvMnZfJ+5xy1/eeCg/UNXbdRI2HYcx8lFWUtggZlQ7Ld54jp++LsVTldRxVyaltvguSCiSGgEL7CqpWLrnCVhkUWLPJ5EliwN2Aic/P2+MGTlJPHQAoSphLrQlFea5kSewYqYzZQVybK9X7AZrajCpriojRo6oDwuBgDuYVhaQ1WXKNmgbE1KctIsAntsT8uETZR1LFo6AFUUCMp4iZ6xAg85mMD1T0l8qLpjSvOlLn5R8WBoUIcGoIhGLCKSt1dGCWL7q23XaUvzzF4CHqcAJgXyKlXiuf6EhrygZkeo8dJVOpJG9oON18RLJqs0ZOtQto3IBVqDB3DqtYo2ePx8NRbLoVTrgFenX1+2Y/4KjrMSPpoRMR0RKw4Tw8R+xGNdIBJ/1K/t8huoAZEWZE2GIgqkhpW8WGWxHoUWHJFbYitDlhwLaxtExa1tzjpN/BebeBndBiFStEaBnb4DEMHlHLOwcAWPh0HfxKV8D6pU1anZWgbirLzlI+2YOdtV6vkkPniDZMt4HZXFdjJgXQnj5jupFIRanhEP0k7L6z1JNZmsc4svhPq0CXSzSTw66lGOpqtApPdv+qwTFflMSi9IOsdPoBrvNZBO4gjQAJUgUVRcQ6bGYNgXUqrlxE7SKONwscqYX1W8UK51Yb6DTNuOwr7C4axN6n6hvfQSaHwOrp4KS8eAYFIjwSF4ZWqitiLeBL+gYxmh0xjgstwc2BYbtGVwdstB3aIuV0ohG/n72hwbF2qS0ZRLOyWvkkkjSvC2GOinvLDNv6KBOVV/6/BNAaZWUOYpTPr6Js4KbmbOZ4zZ2xfMXEGgKgXjdElO4FeC8aIznQvmNf6uCuGwGDJG6tqpxKT0ZsRQrQGIxSM5hSOH60iNjHrhS6BmnlIA+Tiek5Aq5KY7ldT04gkeAM2DtKgHTEqKi8Ld2DQFpcUZT7JPmjaDomKgAxPUkCJ5rmsW7JXjP3LGT1GLRQwSormzgWxepmAXCREkPqXISvzFEZsJ5XMRLqZgAzoRs8dvsW22GGZaxxotoTvSOA3dgi8AyeGDPq0VDAjHpc4Bm2wgZmrsdRt1DtYg2HiB4eezG3nnHIFYHkzcPKjb8HXj9PT6C6SRVSzxaXN0AJIb+DePDElFA+8+iLZDe0TQ4p6jrT7GoYRMsO1FTivtlHhFmVULYNaG4Q3wTXA1Ebn3EUkWK302BoAnhDbyAS5kH8RCqsoiijt/wGIjtcVV0AADRaMTNzHWbUo+cKS66xG1tsulWi5UxZvYw1Nl0HTxGBHWoasOmECrac4h632AobcIg44ffS661GvmevlTpS+74VNrEbW3hEbMcZdkKLRxdXYGs1x3KocX4xw2JVi3Po4BA7DwSxQ3dqZU6DCC2NonRcrjoyfWsaFNIBZL2UOJUXFiupcnWZfns/bhhYBJWo/hCD6iq73aoYNrEp2mOHAWlXrudKlQ7Qlh5wudS4XG1TRAI+xrCk66r5YF51oLpCpJkMfsFeBwDmmprdgGOlZY9VxGze4cTGAlfOdnG8XuJEvYfKRewOLZZBzmkVKuwsWwyrCu5ChWrHoVoC1a6kd/xSmhMOMy+siVXP6ADtemMqof2aWFiUTryIXC99evxKNWCR0C0rLJsa7TygcQEbVYdrZtu4otrDd7tj2OrmGFqXAFT+MIo/AycDQRpYmFGt3nFdkC7GBk6i5NuT94fdr2V5paY2EIL4pFjvpahpX/P60NdTU6dmevKZV6ksOZUbew9Xt8AhZXnIO1A7F1M5E60HBbVY+26t63IMmNt3GcjskoKa9UWFvY4AxK4fp3kM5Nd6Xc0nyIjbqloDIJoOchjZ1Y+Eqnr6pQ+KeDvlnmvAmFlJPXiK70u6Xrqf0hleNoJ833QuJ92nGzAygpODIQEldvo6TfFwTyByADHqWtM9Q4Whr2DNOgf1tLIePA5WudMKk6JCmJoG7MYWx/xSdCbsivmlSfPC1f4CtuMcm26FedXnBQxzbn5pi8I10XTcW+Bi4/IGKIbSAPnia442pXLWjXxckRLQL0xp0pYcHItyY44RFAJo1cMNETSvZdAKHn7lUO9B/RssJw7E8yR19h7a+Vhu2H4+w6phXPDAd7wMfqw+EqQW4ZKS1pSJlmnmErKYmqJxdBlg67byfvL2MRKaJiCqLiQE0QMUrCIcSVO3MHjxr0j7kefL48RAiHvGwwM0SAM3t5IvbhUh//cQKn4BoQSD9DjxHWtTuKh9TyLcKsB1AdQHof/6YVwBYYNU14M5IDUILFI3qTGesQVlyodyWkjo9JiAJ56Dmvz7HbxcISJmMyvTRnkPzOe5Yifq/axmR6Ur40iMCAi92vfSMsDSNVXhqGmpIy1XNSfZVFGllWqiB7ElEdJvGcTl/mpcwJXtLq6sd7HhOwR2mDVSMv8Xi+M4t9jAYlmDlx5+qffEgtHsCjhxvab1CKnyLUmybDUJnUisX4lOJHbv1gtG3FF2hT16AoYjKwzRYVYxTs22UVPAUb+EbyM2/QoRhAurGWJwgIEgnYQkXUtiJsisxlMQYeyQAQmUhWNA/p61ozJxYTvqBGTEQFJYLV4Kqkh+IQdVoDgH17a6wLL0iLK5JODyUNOTQALRct4QwGzdmg3AuezQnXQla38DSODELPH3+xy5tMh0TS1sqt0FBoasMagrUkRFlOl+rlyuwLHUCXECHG6Q8a3UlpD1FquA5Ahr96iXcdwmaQPX8qT+ImWTOxozIw6I6mxsxQQpjbQGTgB5PFas50AARZCLKXs7DB5NM8BXQbp+e+lPZQ7m4jg+h6eYFp4z16dF7dnhCBrVtJhexRa3nkSfsjVsIGi6vdZtCcjl2/0wYr9G+k4Abj676BL5yxuglKV/JUpjKbdK7IiibKd2y0lNvHYjE1EGNyGAo5eBu+uB3T25n9oWvvJovAdXPp+HE52K2LU7WYlVOjnqZBErJ8+x3mAOiN5l6Iyc7wf5VD2RRFGV5k/NjZWh/YF8qr4oy9RcHxF99rmgIfuNWNkvgOI4Lv1fhvUjESHUkCYvYnWLHTRNQ/mcaIgjupb6AFoN48e6Xlak+jnxEMDWy8EGehO7zto8kJm+gtYGMiAL5EhTdBxz6odjXrUpC3GxVOMLEUaHZ9CsDIkjcFcILmdtwX64LJbUiY87ZHM2XUmWPWFSpZD5SIQA3t4Rs7G2ATUesfHgirSyyswIadyiwLHQXxDnyiN+hQ3fSbm7iq9rElEqAIRey4qXhHpXV4aW3nHA0FQIrZgfxhYIcy78cjI1zh7iMDsn7Xgs/iRhRujnHtWupHqGgbC322Kz7XCy3cPcdzjiV3AUccQvseE67IYWf0HHUdUB/Twg9A5hJfvlFdYqMvT+ZojF/WoAdT2477NDbFUhrlajFCLv7SXgyasV0DQCFNWQLW3bddnnhiNoNgP6biQwTECVMliX8emFvDOfJUgnWUvNKOhgzuNLMhIEUqqdySVwlw3tOE9eacHgx/pBO6w1SjStCpDG8bEpGO9foBbVm+xcHuMSe6I3nYn892Oc9HhoOVUnAnqvDJQqgEwzUu5HUj+UAE9e9QEOlNNBujEbe1mmoBwwcnAo9IDpXIixWtbpee+lj46niA3XoaEgjAhD/YKAnsUlPMCpqVsWzC65hofTMuMBW2ETnhi9Vu8so7Q+kUtIScwtO9BUX+GRU1YgXkxc3gAl1cZnNiSFMiHJSdQ8TgompbyAaX/DkCzTE0WuKJ1DAO3syiAza2W1v6Z5IKK8Sq2rAkBFeANERPkLFgPgilJTjvkLaCsy68NhE69NtJbGCAGoK1Bd5/MZBnCndumWNycCQkwCvzRI2DnavuVi5sftuWjAQffnfF759UWuvB/SilGuqzIByRFTJuVoN/JatcPo/3Vvm0QHc/4cizw3eS8iWTsufNIkpeoJK/sMh+jGab4nRa58dF9YczQbfEPIjqW2InEO1A+FfX1In0fZTFAOJJ9tWsHb6r0fQH0FNF4HQ3FMjZUHZsoqNBCTtgqgKmJWDzjWLDH3PX6kOZdSglthExGEP1+ewKKrEXuPqiO4lbAnmUUTGiRUUiocWjmO6wixZvigTI6ZY8FWuYRYEfxgomqC7xihl9e6FSEO4s0zsIMjxlX1Nq6vz8rKL2zg6maOk7PjWA6VeLP4SnU12rQwItsJkAqGQwTXXqrMrPO0LXwcwbWtjA11BfJV/k6k8uAMiteZAbOAhyPwcpl1RNp3h5mBbr+A9lBL5NVkkA6wmx+lbnTbA6MQ144ejiLQfsZItblu7XEap37XU0XWPiOEXEmDgq0z9tDWbgVzkRg+N942/e3ydqO+PMbAFFU/6XXFa7JxJWD9plJ6SffB1t+qYDVT0YI+TM7aVxirQsnR2UAIAE3/y0l17BPgqGlIvij2mCyVRDBj0oIZ9diKG9iLLQbzwrLzKnvameaPSFivWCKuZ4/LG6CYcyaQV5RrvVYSha7bWJfNsnQNwHhlrUCgNGob3fiWc7b8ciHcYiLwSoHDalz/TwUgGHWpLVX+JdhKlS01gFUGDeVvm8BDyH1dzH+h60alfqNjFqW66RqVyLeMIuU1Clsl2gqpoGfZmCpgRPMCUHBR3KUmflvffxI5C3A0x85k/GSOkUAesLys3lIqpBiczuEJfGv1dWyHJ7HiBV7evm50uJ/7uZ/Dxz/+8dFjr371q/E//sf/SP+vVivcfffd+M3f/M3U6PIjH/kIfuRHfgTPJaipgZ7TfWvpArlueg+U4KzI3VPTwJoFpjRD22hXY/0eGAPllDrvusS8uLbNjegUwAsDpmmNImywZceSjiRZpc19j6N+iaurC7jabyeB9lPDJvaGBotFA9rxqHZJtCcLoN0OiUGJjUNsaK00H/ArwjBje0jK1LV6YpiJQRtFBnUM7wi+Ftq8WgDxgsOqqnFhPgNOANc1W/jR5glc6XbhKOJMfxxnuyOonHilkIvpuIAuontOjJEIuHVS6wap3ul6+by0o/SoqWhkIOZFi4mVpSJNvudsj1eVVGEUoudRZZbqqFIl4bqLsHkBHUJwYMBjf1VNOW4UCwoqSo5HVXWjhQQAnViBvPAY7Ttk91gR6Op3Pip6MP2g7a/QxoxYliKVqLmJrKFw6oNjxfw2RSiIYAMqmo4RH5UsEnUDZSABY6cp+ZuMBLK2HWfH5iQ25cymxALUZPGjfA+t95VdeSIgknU1Fk8UM1NcxQrLWOOoX6SGgT18srD3WlwR2CUWBQAiOyzZSbrULZJXSmTxVlmFqgBY+R4Y9VAjyvqkHxqAAoxyW2XflX1uhOtfpuJmT8pz+3s9bVC8hqpKb7Y8+SYflkKoWYqG9oWJdvU3rU3w6fzsCzzk/SZlfCEOTfuw19kKmpymrIq+QkACX5lyy8BBjjdkwGbmZ+bfMCrzk1U8DnqPFiZKLktly7SLlQr2wjjts0Uuzjkd86DjJZfNYlBTMyhLB4U44CidwOnqR/H/9p8bb6vxN/7G38B//I//Mf3fNGNl21133YX/8l/+Cz7xiU/gyiuvxPve9z7ccccdeOihh55bN+5YLM8cpS7FyefFGKhiwDXDr7TqBlJjLmtnb9VOyU/GrpUCHGeTXT+AnQf1AzDUcN2ASPI9iNpvyg2cBteofUt8FaWE1/fYcB1qBGySqPrOUo+92ODCaoah83ArB9eJMNZ3LG6tESqItdJiWS36lRzD8vGmEYgVQA0kBUOS6qG5F88FSNqoWkhFz7Ahk0YYPJ5YHMFTRzfhW8bpaoHAwNXVNq5sdnCu2xDtFQFcR4TGpWoLSV8Wq7woDIr4oijD6QgInO/p8jtZmLKlzxZevidA/h6W3zHdrnQANquD1Jk65QqKceqQgkyfdICZ4rpoPYlYy8WUMUHl91grPERDV7Dbtg8LXbCU1UPpWAoCyVLA1VpVn/dA28pxVHOUDfmKN8gCMhiQLt5lmt0Zw8I5LUMYMTI0UBLWAnJPm4+JbqGsSEYjshAYgxunGj+oRiZtHyEduWH7kHtZtIas2kUkMENA0iUGOK3wrJIbbM8VAhNqBYfZzj5iqToVANiNTdKqXMBMSozZI6gPirynOGLJ9WZIOqKUWr/IuLwBilcJ9EEr+/IGNzoWGIt37MKtP2eCyzI9ZJS7vq7sjlzW/5dOqPvca+0YB7ARloMl38BMjkrjqaRMP+h1hWo9TfisE9FgUvHi/RnL4fL2Ixtt209pqlQCvHJwsRyjlflZ/phISrNLLwO7dilfSrmseygGe6ytsIomgMmmvbwOyqxwCLnxmr6OB/n8mBlXu+twdfWSVLqZAGARbdvi1KlT+x4HgPPnz+M//If/gF//9V/HG9/4RgDAb/zGb+D666/H7//+7+Onf/qnD3zdQVEazqVwuWpmxOJF6GfhxttaFY+mChIoUaOk9Xbz6467iFqVkhg5wEolxd2V0qqPK4Ar9boBsDM06NnjSr+L0+rHcCassIw1VsGDBwfXQ9iTJZJuioaIWDsRtgJIlQm2MLRzCDJAG7XOJI6y0uSNwOwSiHJBKsX8CvBLsdgP0clq0S1Q6+W70u/guF+gciEP2p7BdcHoMQqdFiC9cHTQDXHtPuZkppcWkKb3saaVVuJtzEE/5LLw4l6QDp198dnJKjjtz1hO+74vLr4S4vsedQ2KPg0rpj9J38mC1UZYY0p0MSYprLXFRlFGnCY15GMkewAASBVsuV8X1hZaDM4AxsbhXkX0DKRO11AWTccle4wdEJKAFdIaIQojYoCFBrmPkoGak4aaIyM3yGtTU0p1Sqa1eTr1bytYRflt+7friMzsAJLGiZDUjhY9eB/hXBgVT2z4DtdUF1IV56nqPECA54gLYYbtIFU5V/sL2SOFnFjjk1jcL7nGkmvMXI8r/Q62wwy1DzAx+WhesDRyug9UMP4M69n1uLwBChvVVTSTO2BFX9rWj9wfgTTBAhjl7tPED7nASZBZlMGVsZ5bJjtWmaddByrIlCf6QvhltKgBCCCnScpeNKWt83o5H6ADQdEMzo3zxukYyMDLVjHpfzNVKia79aaKyZQKAJl6r+j3AufG6a1yNaXnNcqvl+0IrEuxvueRvXap3FdjKLZr4QjJtC0WOXy7Xnou6/EHf/AHuOaaa3DixAm8/vWvxy/90i/hmmuuAQA89NBD6Pset912W9r+9OnTuPnmm/GFL3zhQICyWq2wWuV60AsXLqS/0zVllxgv1JSZE488AWp/lhFIIafXNr8fLv4nV+gYDLxRQXUD4L6XMvra58qforomzKTDcJhH0DygacQA7Vi1wnG/hxkFbLgaS5ZrPHO93D+B4HqCU9mMCwJSRBBLGFonvie2ijWWRi0yuZLPzgY0EawCQ0ug6FCxVgINDN9FVEuHuAf4BaFfePSaFxdTKkINaXZ23O/hRL3AZt3hfD1DV0XElnOJMwkYcmppn9iTflBtGOXPiYvGfwry2OlqEsp8qWjZhK+jkUkn76RB0X7lpQAaQL4fLF4MFTwFuB55n9hYYCvolBPRWFuwJAdep6lLS3+vpa/lJQU7U4KbtXSx7W/fmFIARXkMMAdXGQJ5lO4Txq9Ivzhj9hQwFMB6VGkzZGbE+j0BQGgKgKFRMjjsWcuMCbHiXM2j+6YAuJ70cXHujvpdgx7e+ZjYlFTF0+T+bx17bLgVeq6wFTcwox4btMKs6lPzwK24kXQoM9fBIY7ASYDDBq3EF0V9vWQBM5ZXpEV+UamYJAYXGZc1QBHkHBMgADCmEb3PRkcHhVGzKkq1FvfJU6NIi6RBw8yWUKRNigEq6TwMZKyDlPUUjZ2zCUlDYTKU3pMhbksB6ZfMJmDoFxI6qNfqnYAM3uw87L1SU8tKSFdt5bUbWcwbw1QwRma2lMWdLplPJTFmAQRHvgY2SFi6yABi8R7L/SaQkvLUOWVR6osSc1B8VkwuC+6UmjcfEADSy6nIPN1+++34O3/n7+CGG27Aww8/jH/2z/4ZfuqnfgoPPfQQ2rbFmTNn0DQNrrjiitFtdO211+LMmTMH3mIf+MAH8M//+T/f93i5GuSgq0DkNM2ItmYaaRE4xFHKjAt2JImfSwF3yXxZmSd8Bm62ylmLVOmlAKKqA2a1AJQTtdQJ7nKFvdhjyRFnwxE81W+IY2vUNgdRPEtcJ8LW6El+KoiFPZB7WSEzKBiQV7Q+syvsgFAD1FJu9jdAOh6vANcB1Dvsrhqc6zaxFTaxHc9j0xGOug4n/B6OVUvMqx5HZit0XYVuUYErSzFBAEm5uo0R1A8ylvRDLm23Abi4tmnlaPdYkYobaVXWs4EJlKoAGjo2KBuTRLdankxNAyxxaJF8Wuw+NRbOvssoSonLiWmfUFiYwHI/yfXZAI6NpcqOJuFlUeUnLzXWeq33z3oxhEaurGEBG2vMRN5Q7g12wtaZipZVCyIHN5AhQAMM8YAyYOOLyh/OmhXbf7bHp9zPLSCDHsvgz1hAfcXwVbajMKbEGgaG4JKBm7WfsOayJ9xeagy46VbJ60QqdiIcRRXOtuqVAkS27TvM3CKVKq9ird/3zDyWpeRpjDbA+RzB9WUNUACMnAkP0hSk0Is0yo3a6l5zlQI65ILSGsorv1QJDJhw057QAWvUS8Im3nJnziWF+cgmGpwAwEjoBcgkXTbX0lLpJBRLQt3inA0s2f6Tz0Kx+os8Pjdk9iiDgpi0LJK2oREISGmglALLmh4xnerVVbPKg1hp1rR+rctqG+eAqrjeRuVGJ4N8sdIaDVwAMNL0oEhtGNs0/rK89a1vTX/ffPPNeNWrXoUbbrgBv/Vbv4W3vOUteLrYx8oV8Qu/8At473vfm/6/cOECrr/+ehVNQj7DRN3quVmFjj1GLk8IETmVU9dy765Wxb1I+X32xUBfaiDKCp/IYt/eB1BbK5DVAZIFUIgIkOGriCPtCkfqFY5Xe0r9BmyzdNgGVIjXV6CeUst532vlTmSETa+usDZBADGtVuXvTHFz8tVJXZWBnKsvyFJxI7bvDJIh1dlwBOdjjU2Xe1/NXI/KBbQ+oK4DOse6YqVkSy7OoATqpQeP3EseqDHykiE/S2CQvBP/EyBX+pA4yaIPOQ0ZQv5sy/vRhOomBDcgacJRY1RKIehhhHOSiuDC0bZgsMvxeJRmXOtGPPquFuWo+3Rodj97n8ay9efJa7m+VVzaQomK8yESlqsRQCo+VZzKhFE0d7WKHSYeS2X8GigxEOEU2yhgTufnGWBK4lkDL6P+ZEGBEgoWJYg54SiVU343AMTeybl5WdyYb1aMpEDFPi7pxRNB2A5zRHY46hfoucJ2dAmgmA6l5wpH3SKBF9GryPdm061w1C2SYeiGW6GtBr1WlFKRo4IMYH+6/iLjsgQohoyDCylnLspoYycA0tyvVULQ0OcbrZioqPaCYIcg4q8wAHUNjn1ublWWtTnSwSuk1AMNWtXjnAxiyF9ajj14YLjGjJlMa6E3UGQ5rsvLRB4kWUmKrEX4ynCuUnW/TjyO9LNe21ddA7EXQydAv9hyPnIsABzAet7kfAYUWrUg+3ay76gzTRzGCGgwwZq8Zw5r9GpTA5WeG4vnCZFXhgBJ28NDp9fXwzUN4DgxCgiFTXt6nIHYSzVVWqkCHPT9sbIItV7LVJ2kYLJyQAcManV/oOgWwHXXXYcbbrgB3/jGNwAAp06dQtd1eOqpp0YsyuOPP47Xvva1B+6jbVu0bXvgc0mPoBUb6JUFMmt0ixLwqugSuo2lbUajqIHafeLCQivR1JlBGaRCRSqkZIJ1XQQFlwWrNWPW9LhytouXzLdwdSXluyed9IXaijP8RX8Fzq42sVrWoMKsShoNRsQmmxZGFSqa0JCisB8mVC3LOMuwEmX2hNA4MfsbRJsSGiC2ANfywvP9DD17LLnCo4OUWW66Fa6odnF6fh5D9Di/mMl9ZTobwzhEcCEkk0bue2C1Gk+4A+vkoMxiP0jZtoFr77V3EjKLYH+rtsicZM0bJDnN6v5TmXGM4OhTSo+7Yha81BELo7R1UzUga/jKBVH525gi3VcZ+wSy61H6aJQi+4DcMsCeN7YmjR9O7vVugOq64fosTHWBUlWOpVnWV2+UfFLGLIgJZZNGJaV9qAA9lIzW0vcwFLoz0m3srQ75tWwmngaKIkA+om4G1ZuIERsDCKHCMFBiVqzU2IFx1C9wwu2hoQDvWPUkHTaxUpDisK3arRNuDwEOe7FNwlkACZyUIdetYNNiMY941StF1Ub+oItkt7e3AQCfXfxf3/vO+gP+LqnTZ7uWFztOPBMde7F2HBdD6fYHbDesPb8ez2WsO2jb9X0aRX+QFfczvdene81ziWfbfxF/Mvw/AOR+On78+L7Nz549i0cffRTXXXcdAOCWW25BXdd44IEH8LM/+7MAgMceewxf/epX8cEPfvC5nWcI6kpZ0P3l6lFZkqytyoycRVoxqlCQYkTslP0wXYCt4q1KyGhy1bSIlb40D6RZA6EISABASxg2IBb3Tlwoh+ilQ7F2Qv32sIEzwwnsxgY7YYbIJP2YWs6eDwQpK65JNSQAzB0WGYgkz4eo43oU1sSpH4qQNCSeKUFYE9cLOEvW4joxrPoKXajwZH8Uj9dHccLviWsm9bi6uoDHqhPSUbwKIpQlIDRI1RQ02MImZv0JkJko072pQZ6Z6JWGeqyl3WQlyUUKtZxojTFM6dOCCSgZr7KfDw8FULrEIQsO3gdOLDVbtlQA8rVKTO66QDiOty2rd0ire9L26yZflgLGfiZz5FZbAHgaoqQEO0u/2KLN1ogCMAywyIt4pDcxoJJ0KVwYG5anWDIl+rcb8jnCttfvSUoTkfyfnGz1nIw5hErW8nBBIM/wxOAqoO9NqIykKazdgMgOPTzA4nkSQJhRD6+QaQkpQzY3WQCFLb54ooArNBSwq8BliA6m5RFWfQ2QGhOu49HTkM0HxmUJUE6fPo2vf/3reNnLXoZHH30Ux44dO+xT+oEOS0tc7td6Z2cHf/ZnfwYAeN3rXodf+qVfwi233IJhGLCzs4N7770Xf/tv/21cd911+Na3voV/+k//Ka666ir8rb/1twAAx48fxzvf+U68733vw5VXXomTJ0/i7rvvxstf/vJU1XPRoWJuY3ioaWQs0pW1eWikirGBR9R/Em14D9qYy0JrkCaApatpSjHY/wCS7iqVtTqglXJq0sk2NcDsARDDtQFXbu7hRza28KOzs8kG2+jg7TjD+WGOp1Yb6LsqeT0YcGBPGObSGFCARx65Yw1kTwpIFYU+FxrRlqTOsXZNCJKSqfQ9Fhke6hy6rsJ23+Jsv4kzwwlsuhU2XSfW3OEoNlyH4/USm02Hc00U1sW0Z2rUlqoSvDCjzP0YLPZBmBXTu61X+HgPaluYrwlCBp3mV8MF+5XEzHaPrJWtk4lwqwquoUPrxXOQ2dbIMqD0HbH3N/JLKXR+RImNGd23QNbulb/NpDJmMFJWMApYWEsjGOAhSmBPuqgroOAMlvMbgtxzgNyTThjtBBiGvEsBFIXzq+pOynRRAjZraZrR8+WxLc3IGfBYY9rYJiSlZIWBZoBcRO1DUejAqHxE4wbUFBDgsBtbzKjHMVqi1oFEk47So82tpMSYa3iIC62kTaOKZAk1Anr2iNrjJ7+ZMUAs9Y/PJy5LgOKcw0te8hIAwLFjxy7rSfNyisv9Wv/xH/8x3vCGN6T/3//+9wMA3vGOd+CjH/0ovvKVr+DXfu3XsLW1heuuuw5veMMb8MlPfhJHjx5Nr/k3/+bfoKoq/OzP/mwyavvVX/3V5+aBAl0JVsj+Mlj/Qo9XhFY2zLoSyZU7DrxY5sdUYDkSZWsQUa6+0Ikunc+qA2YN2M0Q5pWYqHkIg7IRsTHvcPV8B9fPzuF0/RRO+F1sUodAhD/vTuFPF6fw7b2TWPQ1rPeTjVvDjOAdhPkYGC7Yaiund1gZEqtQMHrdae8SrjRL6W0lCSk5dg6+l2NI/ysGzwKci9jtRCi7N2+0a6tLg+7Jagc7TYvvNkdR1QN6aserX4KkAhYr8O4CWK3GonhkMGePUdJHcU5jOAKWnSyQmxoIqgULQawEykodFbanknCr3iKtcHER6AYFsoeX4hEfFNoPKLxLE+O+SLYFTj14MiBJNg1abDCazErRvOruRvt6hlTQvsKEQVOqISYALm8AI91ICRYS+4G15y31qa8lFOkX2k+8O82Sm6dQqUGx41hbExcgAL8A3WkbBgZHoEG0Nc5Kis3nRHun1T4Im+kD5nWPRjt8mxNsQwEde0Q4RHYIoFHPnU3qtAJugIOYtGU/lBZBHzvqF5j5IbM/Vsl1kC4viZ0PTqkfFJclQJliiucTt95669PqTQDgd3/3d591H7PZDB/+8Ifx4Q9/+Hs6F6pkdSkaA/FmoKqSfiwcpduwlR4PKsJM/YjMwVg0QqUg2VbyKY3QD7LKr+txZcPaahRRunb7nZX05aFKbOgbBryswlwxcu/GFruxxRPDMXx97zS+uzqG86s5Fl2dtFPspUy575Ba0PdzGbR8D5QW4Cl/ryvXUcM1ku18V/zfszTnrEl7Qsn+5EIQYnRY9RX2hhp/trgakR1OVjuYUZ8A1vmwgSHKpMoVi4alUmamln5aWHWAlYmbt0m/SukcE9inakFXgJgYZcCua/m760cgJ7WhUPG3petSfx5HIPMJNFbgufDjL2DQmh9RyRpZP7NsZEdrHYhJ7rla0xBmVFmmL80+gChXh6wbh6z5qCSLiOJ5IAN9YXR0Eu6kG3bZ68zSiG5AAiBubbgwAOL6DKjzkzld40MGFACSwJUCUK11Q7aTTkyJz3+n8nfkfdMAFa0HVFUYgSdn5cSDh/cR3VAhRocLzQyrKIDDg7EbpUJnRj32uEXHHjPqU2qn07xzMm0Di0iWemxSl7bxIWJW9ZkBtUtRCKbF8ZqRNEPPQeA9AZQppjiMCKJ9AJDNuADwnpTvUl0BdZO9N4BU4gpdbaYGgRalv4mJK+3xklnR8m52TtI7HMV2v+olRRSMYuc0wHqXaWKLc+EI/nR5CheGOba6OS50LfrBI6w8KNikT6BNAlcyqNtK0gVOaZqy7b0cWH/p5JG6GThhYIiRmldCQU+YEYZNIDYABenJ0w0e3z5/BXb7FtvDDD+2eQY3NE9iTynuK6pdHGuW2Jyv8NS8BXufAAoNvG9CTbqQpkniVr3Y8rt0kVVn6VIYC2BcQg5o76+Yq1CAwuK+ygDSBPkmjl4cXo0xDwGMYfw+TC8CpM7b5EK+hkXlnokmR2aMVs1HTl5fpnVKMzYga1lC0YPL5YrCVL5fgJd9+pTIcIGBgZKnSdkYE8ig2rQp5f0p5egCROyxlCZKYtn8mn3NA63PVJE2SuXGIQOhlEqKyHoXAvzCYegreB/RVMIYMhMqLTPuALT1gBAJtY+Y+R5H/BKb1GFGPY66Ba72C9Rg7LHHkj08GDVFnAlHAAAn3AI1RexyhcgOmySVcDXLY54Ju9qLRxggll5VpRkfCrAJgOMg7TwuMi5bgNK2Le65556nrZCY4vsX07V+AcK5JFwFUFQ8FCXAw5CrkMqKHKtOsMHdmlIWkx0AmG+K+euIYFNW7dZTJh07RhHKamUUe/sRUV7lYzJns4ZiHVdYhBpnVxvYWs6xt2pUrBeBSnQsQW+ZWBGaC6yDvtmEU/Y90aCh0BSwrGZNX1IuoA08xUrByVxXmyyrS+mbQhiCx/nVDJv1Co/6kzjil5i5XlePHU7NLuDR5gSeqiJiw5LacgBXJNU7WoovFur5BGSCDHkiBRJLlQSw65bfEPCR+tKY75IBTUsTpfLvIaeJrEwekM9xPgO2n9st9/0KqgQ0mVMrgDEQ0fe9rxmggYzSWbYU0poDrdkfFOXEKQ0EpLRYuqojJpARQ1F9WQp5DbBUdv0Bh6IahwDWChynHbeT4FMnYMPnDhlAR6/Pr8apmtTuhCjd94DpujTd44UhshL6qMWc7AAGibmhpcJCBk3UUyoSCkwIwQsTyITAhFk9oPEB7KXk/ki9wtXVBQCZHTkXZgiglPY84RaYUcCPVufRscMeV2jBOOE6BCb0ahbjwJhpL54r/Q5mfsgArqoy0FZGLZWbW1VPVV10YcbFFyS/yKJtW9x7773TpHkJYrrWL0xY35xEQVMeTONqJRORd4nyT5UiasaWVoj9kBtYAuMJoNRJAOCul8nTBl4zVGoalL2MbLUWK8DNBmzUPayB2JV+BxtuhZ0ww5nlMXz7/BW4sGzR9RVicDLI60rUyoptn2V+31lXYhoP7IAOxKpNYc1kSZPPvIqMlQCgYQMYNoFglUOBwL0IZZerGouuxpOLIzizPIqdMMvmU3A44lfYqHuQNnyzScWtgqR3jLWyAdbYDCCZHUJTPYk5KX121uzfze6bisqc1D9p3RbePsvIONc/hod2H8AfXPhN/N7ur+GJ7pHRvfRzP/dzo3uIiPATP/ETo21WqxXe85734KqrrsLm5ibe/OY34zvf+c76bfmswYwELlLqxFbIej+na6YGieRd6rVV/p33yVm0XTKK6rWSgHoIkjoq2a3SSRsYgRMB5zEDxhCAfoDvGNWS4ToBwS4Afgn4pTxurROqpfSR8p1sSwqavaUth2wQaGkaNyj46eVxv8qv96uCWVEg5AbAXG3dIK9xnaShpF0Eo1qw7Kfn9L1yPqAufuZNj1nTY7PtElAJKqDtYoUnhmNwFHGMVniJ38FJv8RJt8T11QWcrrbRFuxoBOGE6zCjiJ4dVsqwBAhQOUoDHEU4RMx9L+C+UsCp6ctRRZYukrgfBOBeZFy2DMoUU/wgxKjBn/4vZbhKU1uH6nIwB1D2aUr9h9SYjU0EMqp+sLRQBjbmiGo6GKqrVF1kOXh2QNUEXDXfwZX1blG947EdZrjQzbDqa4Tg0PcesfPA0ouGhCBpHgdQFLMqYobrSOj1YkB3VlRU5OLL1A50tQmMV67DXFJEoeVRPh8sVuBMhMVS3C6PtZIWqREQ2KGzFvMuwNVRhLgNVEBJo2s+Ant6nampU2VNmlCNjfJeGAEzHzM2oK41TbcmXjYnZiBPtpHBQfRJQ+xx1F2Bl9R/Gf9z8Rn1KBrHJWt0eVCsi1XNCdqicNBOE5eZupmWxMBdVbAeBggLM8q0P2DUEiS3KSldq/P+pd+ZiHAFHAswSR1DijSKKwTTpiUxzYhVk40ErE6bfBASG2KvTWmcUqNRpH/yPpCEtiMwz0imiQDgnQCX0HuEGaH1YsSWHGNJvE+cdTvW7uNX+h0coxUCSL1Oehx1DK/XuuOIFQMtAS0FRAA1AE8BgQW87LFHAGFPc1Y9PBZBfI9c4CQQH7UksfdcgM6LjQmgTDHFYYQO0myrOiC5MCbDLhPQllGsVOV/2u/GayxL6X1iIAXIVSJAXum6YhXKwm7ECogNY7PtsVF1iNBVWeqC6rHTtRgGh25RgwcHBLGgZ5LXiqhPNCixBljTz9GLyaA1EQQh5e5L8aDpAhK1HmRiCQ0hNuLREuuCFndQ2gXgQBgGo28Iu32D7TBDD598HyITGic5/FhMICBI6kwrS1IKzj4v71M1TjbAK9J0jkDks+srieIy9eQxMysDlKotKtsf5D5WDtfgpbgGLwUA/M/FZw4c5C9Vo0vBbpTfq8aovYWlXBJwC6P/RylLE1PatbLrkw44TtWka2cVbQpS9mlOyv2X7UU0VUNBgH7CoWwgRYGwbZ8e19Mxpq+s+IomIsnpR3XET/soUz4G0BN7uP5xmrypxGT6XYlm7kaSvqlc7rVjV7VyEZWLiEzwLqKiqKlNeSOOGA5qG8UZpABAQ4TAjJV+XDWk9ZQnglegEljSY1uQaqGRRsd0bvvEsJKaJn6G9jNrcdmmeKaY4gcirLyyrkUAad4oapVOTSN0qdHoqXeRpmJsxd7Uo8oK7gdJ56xpWFInZ60cIe3rIukK0bIQcxqUKQJDcNjqNrCMNXqucC4cwZ9112CrlyqYYfDgzkvTMqOurVU8ADig32T0R4DQyqjte/EaiRWlbsYmlHWhmAQs9aOgyQ0ZiIRGe/pod9jU8yQA1DnwogKvHDhIb5LlUOG7q2NYxkZ1NANWsUIXPeo6SFdjA0dEYO8kp65MCQC5VrM2fS7JoVSv+6jfDsdEa2O1ks/D2hIUbTZSKqiwhrfUSRaDxpxiAkYNHy2s0eVf+St/Bf/gH/wDPP744+m5Z2t0+ZzDjLeAEXtSGtaNJihL9zxDLxZLTaXVdyonLtI9pWfMelh5t742aYTWqn0AgIaYSt4tnWhsnrVmKB+374Olg0ToPQbQKRVUvk5ZGksL+Q5p37adGwDX62uHYp8Ro33ZsQ0IeB9RVyExJpbOAQSg1D4kcAJA++s4tBRwwg3wBCyZRt6WLQkoCACWLIXFIT3nsEGEGZH2toqpbUT63liKZ80PJaUCi3TgxcTEoEwxxWGFc2KFbitn70BtA151KQ1gpcaspcjJeM0GYBuwrey46GGUBgn1UAEwKmG1SMdqW3BbixmUAoc4i2jrQYBIFNvrzbhCgEPlAo62K5yjTYQIUO9kBRnEPpy0sY79zZ7RHyFhVBzSQDsSFSrGySXDGFPpCljYSzomtqxpGUkniZU4ivOAMBMkHhHbQ4tvd1ehrz22wzw1OyMCYhtBOsjHRhgo8rkPkpQKd+k6psf1uX3VI5EzAAX29UEyMJo+m9T6YcialWUn4NVKzi3WFqcvRKPLp+vEzYxcnbSegok5RzcCG2v9V0p7/7RT80EBwGlaXIsylVOeQ+prtH/yKw30EtAsK22MwdDvl6VUhPXIAFq2l3vMDwwzcMvMSD6mVZpZeiexNiztOBIbU1QKjbRYevxUQQSk8zDwHzh3no9qZ+8L5gQAGqcaFafMBwgnXIQnwpIZM2IcJYeWKkT93JYc0BDhqAvYIIJ1m4vM6Jmxp+dTE7BJXepxlQTFJUgHkpj66fqVPVNclgzKRz7yEdx4442YzWa45ZZb8LnPfe6wT+myi89+9rO48847cfr0aRARPv3pT4+eZ2bce++9OH36NObzOW699VZ87WtfG23z/RLd/TAHzVq4+Uwmpn4A7y1G6Rrui7K8crUO5AlSDb9MmMaDdN7lIXc0pvkM1NRJwChW99m/w0Se3Nboj9ZqfCbpmd1Fi1WosIgNlixiu0dWV+KR3SuwtZgjBAcaHPyOg1s6cMUCHLQnjhsogworKYauOHseN0EzKrxI8QD6GmVZ+g1Cf0Rs+A3ouIBk6uZ6wC0d3JKkJxATnA8IkVBRxJP9EezGFq3rMfcdvIv6HsScLtSEWDtwrV41ynpQXcl19B68WAB9Lyma5WqUpttnYGb/d30SKSdmSwXKTgXoRARqW21E6JKHSgo9TuqzpfHWt74Vf/Nv/k3cfPPNuPPOO/Ff/+t/xZ/+6Z/it37rt57x/numRpcf+MAHcPz48fRz/fXXp9sQgLJvdRIHJ/Hv062QOSaBd2IETfgawhjwaSQmSavWTCc1EpYb6LO0AueS5PXPQB9MaRkKcg/6VVQGQ0ClGblJOwXZxum2zsAJUbp3BYzQiHmU/bJW4kBbPah2pgDnpdbFBYbvouqyOKeCIP97PRd7gWnRSu1JHzwiE4bosNs3WIUKgQmbboXTvsOG83AATroKNYAlR+xxj54jlhzw3eBwJnh9jtGDESC/ewBXeY+TTtgUAKhcgBnGEJFcX9NlFWJv6TF38foT4DIEKJ/85Cdx11134f3vfz++9KUv4XWvex1uv/12PPLII8/+4ilS7O7u4hWveAXuv//+A5//4Ac/iA996EO4//778cUvfhGnTp3Cm970ptQHCRDR3ac+9Sl84hOfwOc//3ns7OzgjjvuQAhPs/qZIofS+kbfWyUNzWcyQZkS3n7XVU7F6GqUmgamZUkmYsOQBvRkgMUM3luk0mKzIOc0kBQTReXAlfS78R1Q7TgMvU8rsp0ww3e6K7A9zDDzAyof4K1hnq1KO2FJaJDySvOZkEFaUz0NwJ6S8M+FIk+v1UOxlt+yaoSCF3W4nQP90YjYYMS+JC8JBvyC4Pcc0BPqOuDkxgJ7Q60NBGs83h/Dd1dH8dRyjqH3cJ2kjKT/kENsK0nxtK1MwpGF3TLBsbJRCUggp85SRZR9DqYVMv8aIH2ultqhts1lxSmV48as10EajgPimRpdlvH444/j2muvPXAfv/ALv4Dz58+nn0cffVTeYyhSKJo+zKJUQ5/ZHZl8rjwDkAFJ4RGTS96Lx4FcEWT/90MygOMQEbs+VbyNtFiWIrJ0z3qKJzEa0D5MhKAl5lCNyMh7xHQoROm+NdBMDAUS43490UPdji1FJGmclLIsdCZZ50IYZi71hDJWQs7RYWidnKcXm/tlX2G3k3449h0dokPQn8pFsaoHsB3m2GbC+RiwHRlPhAFLFh1KBNBShQ1tFnraBxx3DU66BkeohgdhNzKW+volR5yPjK04RxerlOLJvcGKijT18JHPZU1M/Sxx2QGUD33oQ3jnO9+Jv//3/z5+/Md/HL/8y7+M66+/Hh/96EcP+9Quq7j99tvxi7/4i3jLW96y7zlmxi//8i/j/e9/P97ylrfg5ptvxsc//nHs7e3hP/2n/wQgi+7+9b/+13jjG9+Iv/bX/hp+4zd+A1/5ylfw+7//+5f67Vx+kQCISx4PpYERW86+mLC462S1ro+nCQ5Iq0dqW/nZ3JBVua0+dXLkUoBog0UIoj+ZzxBrj9C4JECVcyF0wWOrm2MvNIhMWAQZyI40Hao6gJuYHTCTjqMQLTpIt2CtlIkNyYDd89gg1CjxkF9nDp8yMQDDBiHMpFGgdUF2K4jluAkIo6Z4PIBK7MBrF3BFs0BkwmPdCWyHGWqKGILHcKGB3xMGJjSEYUYIGzW4rdPnwVb2ratEtkqeWZs0PNbVmJerrAFiTXH04qvCXV+wWVnsac0Fean3QaVmfQZY1itjniGeqdGlhTW6fKZO3NbeomxzYdeC+2HUOTgJsY2tMM1B0k9lsbEB75Ew/IDeQ6O0jAE7/QyoVuBeAB+QSyXzwuYUK3itFGLvQIP2WzpAE1M+Vuqhku19ZNVD8Yj9kOdsJ0XaCEVq0mUGEbD/KfmfGIixJoMGkEg1WAZ+/IoQ+9xaoA8Oi77CbtdgNVTogkcfHVbBo48enhgn/B56dtiNDp6kB2MPwpIJTwSHP+mBP+3FrO18ZOxxjz3u8WTscC5G1AT8iK9x0lXoATwR5gjqi5IvXsGg2bUnSU+WTTAvNi4rgNJ1HR566KGR0AsAbrvttucn9JriwHj44Ydx5syZ0XVu2xavf/3r03X+vovufsjCJi8Ts5ptOkKQiaoQXnKfre5Jq0d4kNSP2Kd7Fbi6JEbk0hcFOYVDTaOgyAtbY0LPyOC6wnC0xuqYw+qETO5+SaCzDc5tb2JnaPFkdwRb/Qb66NH6AcebBSrrCKzOuK4j+RnGDdRMTBhaYVG6I7ISlfJEJDv7JBDszWNCxbEEhBkwzHLKBypghK10FZgQIJ1fAQEoxJj5HruhwcO7V+KRxRV4bHkMf753HDuLFtRTwlOxAYaZEx1KOWlapZO6xKbPpgAkaTVf13Cb8wQSAYiWxPxSjCFRES6AEdjkrgPv7IJ3d8Fdjz52uMBP4UL/BABgwTsAgEcffRQ7Ozu4++678Yd/+If41re+hT/4gz/AnXfe+bSNLv/bf/tv+NKXvoS/9/f+3vNqdElqXe9Mo6Mpw9RPp+wgbD8xFqDBZTBT/BgzQgeAlSS+rQvZZCzAERWTYrFKHzE42iKC+kHul0oYCq3GzaXENt+upR4BTVN6SjqtqEwHiJTdy/oSFPs1tiRWVNjq633EnD1/DJQko8S8T9OglOcVgsOqr7Hsaqz6GqvBYwjCniy7GkOQ6xiYcCHOsB0b7HGFrSg/T4Q5tmMNp4ZsR12PGTG2Y41zETgXge0oTrN7TPjmEHEuyud0tV9g5nr07EQQb9ctxpFg2Xxv9OZ5Lrfa5SWSffLJJxFC2EdJPpPQa4rnHnYtD7rO3/72t9M2z1V0N0UO68UzKhvu+zR4c9eLSLOuQF6t1Q3IWIXEQZUSKqBFzOJLdi5boztNJRHlHj/eg2Yt4qzGsOGStoNJWAnfEUKQMt3GDTheLzH3ve6O0VYBO5X4iNBKV3eewRUAV4j8CIAHqIc2IiT4lYppC6Fhyaiw0eQdK0AhDEekbw5FHd9L7SgDbiXAKMwYcAxyjFnTY6MSs7mKIrpYYadvsbWcY7XboNp2omFxkn7qjhLabQeea7WOAg8GEkNAbZvSFaQAsdQAoapy+sL0F6k8l0B+3M8mCZ3rOqUszLRsuz+HL279dnqf3+y+BAC477778O///b+/pI0uqalBPNZ4pLB7eD3M88Q+V/UjSR4/ym6MOiCXx0zCF8q6mWKfjAAi1ac8TYo5aVWcQ/SaRvE26edUiu00p2ty2TA7GpkLgnLTQQPI4v9Do9fnzsRqaIaSbdE0UOS0v9LdVs6F8jESECBxblbtCSC/BxXMxsSueHSxwl4USnSDBjQUsWSPTZLSY69lx4CUEHdFK/Kl+gXNaIAjxpY+7sFYxhpD9ArE1u4FMjGzgNGRy/JFxmUFUCzWRV3PJPSa4vnH87nO02dxkeEK2rP0ddABmgChqr2T/jjFxDZyGy2rJwABIqWY1ip/yv4m0FxxuZ33CJstVkc9hg1KjplgoNolLM/O8d0mYLVRAZvA0XqFxg3YrDocaVc438zQNxXofIXmvJQT90c52YBDB28GAC/ggYJ4mfgllG6nUfO19a6yYU7oN/WtD5kyt4ZqxAKo6h15flkB4URE3Q6YVeJ86YkxRMLe0GBrOcfOsgXvefglwfWZUg8zoDviMNuoUVdewYZOEv0gn80oXcYA8v+JAYgxgUY2vYbpMYpycGNRUpgXjn6uJ/0p3Hbs/4B52PSrHfz35X/GRz/6Uczn80va6FKMUDTdYn1yOALwqQKJynvrwF1kzUkKqwAy0HJAGfNI71I8Vz4m+qs4Bq7la8gYCUqeJ2UFTqrKcfr1YRK8lICIfN+IAQaDQGMnZAMZxuiBdDs9vDE15TEJAGhfl+P8BvJvY2UwCECRIYMRoxyQWUzjXNHpcJSGgVTzALLACCrcUviNhqKAD66Se7S9pkZMvyMInnITUbYFk5k9Anmsipw7WIeLF8peVimeq666Ct77fSv0ZxJ6TfHcw8yenuk6Px/R3RTjsBx5qlRQTcpIbGhmYMA43VB4YgDIIjQgTYJkRmMlpV4YjY0my7rCsFmlnjYjoBCA6oLD7lNzbC9bLEON890MZ1ebCEy4ot3DkY0V0KhZVA9Uu8JkyAPAev95MXID+k2xq48Vpdx8otzV88EqgIaZVgE5jDq7mi+FVPBQsiynSEAdMZt3ON4I69O4Aa0f4MDYXTXYfXIDzVM++avY8QGtFjrWAPNZMmZLAk2tkjKDtVzyWqQdnNNeJJwG7nS9i0ledqjAxtgZA6QqfB6XIj/z5P+CR7lSvpjzKMFI6eFjQvF+SOXKqQHgmk4qiWVjHLUNSB4xFgbCS88V05/YZ2NaFEupGNNRpE9G6RQFwSPg4igzKCbQBkbsx8h8LYEWSqmf/dfpaX6r7oSLY4ChDIpD1I7cMf0vvj8xSiVPHx1W+oUOIGxzjb1YoWeHvVhjL9bo2aGH/ARQMjIEgJoCagrwYDgwakRsupjKix3F/J7XF6cm7H4OHYxHL39erzqkaJoGt9xyy0joBQAPPPDA0wq9pnjuceONN+LUqVOj69x1HR588MF0nZ+P6G6KHEkgWIAMtjx82YAOBY3OcX03aSBO4sOmBrWNiCuRc/Aju3wTNNrq1ztwU6M/WiHMCGbnDSBVF9QXCNWTNfrBo3GDVPDoIDXzAzaaHlRJZYRfad+QLgOJfYMuckXPMB/7ogAKYCqkyp5hTghzgKssIIwqukUBaPwKqBZiBe4GgCrGyY0FNqoOg4oFAWBgh1VfoTpXodqhdGx7vyISJkkvtbV41FgPGUu9lBOvlcmqp022XdeJlVxOMZg/Civ1nUp1XUr18TBIHyArp62rMcvyvVrTfw9hQM0Ag1UapUq0qpI01dOka0bGc2TX1I2NBu3HzNlUPzIqS2YDNSE77wLpeicjQu8yyHcO7F32Nyl/aAxE7F4oOw3b89JjShi/UFOqAgLG+ytfl7yF6rwIKDsUr59HOpe1tJOlpqy5YRgcQnBwjkHEcE4qfIbBYbWssb2Y4dxqA7uxxZJr7MUWAYQODh08HMn32IPhwdiLFQIIx90KM8r+KQCw6YSFFA1Lg+04xzLUKcWTTAhLU8Hkj8IF23ZxcdmleN773vfi7W9/O171qlfhNa95DT72sY/hkUcewbve9a7DPrXLKnZ2dvDNb34z/f/www/jy1/+Mk6ePImXvvSluOuuu3Dffffhpptuwk033YT77rsPGxsbeNvb3gZgLLq78sorcfLkSdx9993PS3T3QxkhAMilkSOqOzEeVvHg1Fa9GOgLu3rbjkMAuUpYl3L+KrrgpjLXMpfvPeJGi9DmVWWZPqEAVHvCTuxcPcPuFS2ON0v0UfpwtH7Aqc0LOFMfTxU0Lkrqxm1ALOQVA5gjZmpG2DCGTYIvOrDHWvehJcphJrqQ0PL+3LyxLgGgIPuxVA0FgKqIaza2caJZyCVgQh89dvsGi+0Wm08RqoUcI00quv/YAMsrPGbH56i2amUyTEui9uzrKU3zfyCljexz0glVtg1iz1lXoAapF1O2uc/3gjjNaim6PVfmLg4hhPxZA72FWzFMT1WEvXfrS5QM3NYs7EciWAu1sjfdy8iEkEjud2DcyZsjEF0yfLMFgYH1nOLRzUlSFBRZumwPnMCAPJ+3NVF3tqlnLT8GgtMS5SDPx4JdWQ9JLyngdrIwSGBef0efj1na8EvaVFMrLCAwRgIX5caORH/lXUTjpPvwbmxxjd9Gzx41BVzt9uCJEZiwxxWeCKJZOuoWqLVRoIGTAMK3hiPptdtxhmWsxX9F2SGqa2DWAl2f2EZAmT8vnxfFeNHdjC87gPLWt74VZ8+exb/4F/8Cjz32GG6++Wb89m//Nm644YbDPrXLKv7oj/4Ib3jDG9L/733vewEA73jHO/Crv/qr+Ef/6B9hsVjg3e9+N5566im8+tWvxu/93u+9IKK7H8qoKvAQQZWTiQrIDqJKe5f9ctLfBahIq2hH0tHYFYPzYMxK1j0w6pSfJ+9AOvBQXWM43mJ1jEZ9bUzT4RfA7Jz05tnbqrBzusHZ1SYaN+CKZoFr2wtY1DW+1lyXrbojUO8wwozQH5H8s6XEkzBRWRNzgvUd0qDvFZxwDcQWqVNxCqPJY95XtQdUe5y1AAzUzYDr50/hWLXEhWGGC8Mcy1BhOVRwT9WYnRO2pWMSkFLl/QtzA8TWJ81QylXxWioCkMG3NA0rV/SWVrMUjfeA84kRKIGIMVwcQgFKGGxgx3ugv/h+Jt/v4MBgDOMUld6DJcAYiVk1NZP628QI1IVOB6YdCfk9ln2qIuf+R8U1N3ZJzqvQBBXsZAJGVu7NUmIMZD2IVPNkg7bQZFYtHasUb6d0T0YfrBgjegKU5ch2+WOhrficGChCsru3dg8AEF1OHwVPqZKNPeQ2DAQeHKKPIPaJmOCg7F0VQczo+gq7Q4MAwox6zGjAkiv07PEEN+jZo+cKS65R04CjbgkPRs8uaVHkOQE5J9wCJ1yHr4UNbIUNLIdaq/QY3PdS0Tbo/RECmJwAWu/BXYe43l/sGeKyAygA8O53vxvvfve7D/s0Luu49dZbD+5noUFEuPfee3Hvvfc+7TbfN9HdD2Fw3wPRS7NAIFH4HKKasVGR2uEsagVypY5ZjEcedSke2eBHdS1N/XykiZ1RsTIZOAwb0hk11jqgAskgza8Y9SIi1IR622HR1Zgd6XG8XmKzWuHG9gmcC5uYtx1Wqg+xNvL1jtLf8+wYWzb2cwCCY/AGwHsE0tRM0gHUwDCXVWYCJcbGDJAdOKk0MvaEWKWLLP1KKm2kttVv4Hw/w97QYHfVoNolVHuMasUYZg6hpXRu1pGWHdAfqdA0NbC9g2S+ZmLQqsq0dgiIwyDOwN4ncGGCWgAFuwIBGaWOSAGQAdBkCGf3jHmvcMzmbYcRHAHyKC3uKWkxKGmoyJohmq196ZGizsm5lXAWe3OU9JZsRziw7Fj9NEzHksr09TlJwY3Lje274IaQDf9mlACz6ykB7PWUC2D3NbKlO6Blxvl5MWDjBDzkCSQTONNLjUS1QGJfzOfEzil1NWZArYcQak3DDgQOJPej9r0ib5odgHsH8ozoI/rg8dSwiWVTo4NDTQFPhKPYjS2OuoX8YIFN6nHU9diONc7GDWxSh03qccIJxbnLFXa5wdl+ExEOMyeVcftYotR9uujLU+qoLjLLc1kClCmm+EEIswiXVZ3lbaOsQpjh1BgLsViBEwl9av1zZBbO+ystw3Ul6ko307KvD3QCdQ5hJqOsCzIQlo3Kku12z2i3HLa2NnF+c1c6olLEY/0J7IUGzKRN0ISVYA81xJLHU7WN0t/QNBIYCPMIJofmvG6rOfZhgxFmEX7PpZSPVTKwpoIoANQDzQWzIrcJB2jbHtc1Wzjh9/Dd7hjQA6tQYW93htkuod6LcL2eb258jFjJ60NDGOai0cF8BhpE0GnpnVH5sDFh+vkkIz1L4aneRD4sSkCSrFcSs+iHhsIAzT53jlIN0g/gGMGxyIld6jCAlSYhJG0Bo7gPLY3DUbob2wRVVqRpLjJpeixVVDb4M2FsAXZSk0V7fk2sO0qTlSkkANzUYCv1NSG2aUX03o8Fk7ZeTWbgITURtPtSI1aUXpeqdfQnmhE05/TNqHInjh8vWZtk0tbpC+wtp5JvSNNOZ1SNAPkYRCgb2KGhgAYRW3Ge9rsd59iOc3iKOIuIE35PmZYeG65HjYgeDkt1YF7GtYozvU4gZHG4VQvaffA83cUngDLFFJcwbNANbpCcekBeORq9XRE4MGK/N+rZksI5GQxsEusF2NCs1UFCR1TLUffqZjoMMhnSIJO8Grf1x2ssq5UMYgFwKyB4IBBQLQD3VETcCyIK3KsQzvXY2mQcOdrhR479Bf7ycAaP9leh6nax7DbQB4aLkqd3WwQ0hGheEJRJg5TqARB9RKgjKFZwAwGDDOY9BTBHcPRi/KZpnexDAXGS3SXwDiOuGJGACMLQEdrFAtvbjHnV4UR3Fk+tgNV2jf6JAbOtJYYhCP1+wYEqh2GeV62RJe20rBizTYJ7QvrvlOwUnFPGCzobsOgeHANDD14GeV5BBsxYbygADnswsfiiDEthYladaD2aBrzKabrYr0BNLSmIPTwjC/pCBXkSzxEgAwOPbG9eghMglR2Lay5ljVUZRbUOGTix6qd04AJolJoXILM0wFjbUpQjJ8FslHr3dc+TUtAKZGBiVzhV+gAJcLA+Xjb0k+ui2ivk/1M1jv2t90yqIipeP2qgmd6/nZ+CkwCgd9J6wHPOodqBI0mlTxVTp+Ml17jALXa5QWCHmetGFTsOEZEdzsUjCCDsxhaeIgI79PDYpA4RomUJIAR2GNjnhoeApiB7/cgyEzwGphcXE0CZYopLGNbL6MHzn/z+73z5PF/3XQBfem4v+Q6APwLw6dGjDz7PE3gB4/8E/viFPsbeszz/3Ny9x3HQZ1qQJ9vb2zh+/Pj3cIDnEUmPUwQVaR5g398jbwzbx1rPnRHbAowEtKUIN2lK1suVfZFOsCiBD5ArqFQLknx6CkbPythTD54CWDCQmIsEcEpwUQIejNkROb4wdYlFtO31OXvNaP92jcqKH4J0CI883sgcXYvzioNDN3jpQRVrnOHjiCxpHsByWsCMBFRsuBUcR+zFFj28VP2wE6BCPWoaMHOkFT9tPjZhlLIsGzqOP5OLB9UTQJliiksYp0+fxte//nW87GUvw6OPPpr6m0zxwsSFCxdw/fXX/8Bda2bG9vY2Tp8+femPHaLMHGtMR9mIEiUTorE+UZGJgUu2xQzgSqM7ZBAycpC11xZCWk6z8pqoutienMu+O27MYKwzdKP0js+/S9mFbWKpGdmRghz7t2AYSuDD5fHtNQYu1gBQ2nWUtCmigpRUd0+JpSnBD9QPZRUrBDjshhYz1yNYhY7t3yGVGp9wS6n6YdE6eYqoaVDWpUdNAQ0CLrgZKgqpKgpArha0z970RyNTv4uLCaBMMcUlDOccXvKSlwDAqAHbFC9s/CBe60vOnFjEIr0Vo0yQCg4Oavgnr9FJqXSAXTd5K9MyB4CbJBLW1ydgoxou0VMZqwAQ/LiLcqqAGx83MRZrmhCrRhuJs7V8HRizLRRUWF0yKra/ch9clNlT8Th0/x4i/i5STushdvuAGwiR9NqQnnhiWHgEbAyreNWY1DRgO87RcyV6E031dOxxJsj3ZBkbbIUNzFyPTbdCUNalZy+MihPvlMrFbFDH6kdTFzqVdf2JpjgvJiaAMsUUU0wxxUUHNRWkise0TnnlzF2fKm8AjNkRALDyU+ikaWwIRcSDLP+BEWvCvaYkitfJMRyoplwttJ5G0AoiDgFu2cH1nNkG6C4LcSwN0D5QyO6vkUWobR47CjzMuC35pGiLCAMa1mDQhczqmFcPSpBSnIuxLHY829YF0YcJeGFwzWAnrsk0mCU/w/UqUlXgEJngi9KZWHi0ejVpCyCc8HvY0vJh64AMQLoWaypoK2yipgF99DgbjmBvaPL1SGXw6oNjeiPzzQlRRPoXGRNAmWKKKaaY4qKDhwCmYZSykVW8NOpzXsrkRwwLoAzJ2pRTTF5ucwO8XGXgU4hks9W/2/c68VihbBy3WiUQxMyAdvZOpfyVT+mU1EVYQUCskQzbrKM2JVW3AgU7Ba1KS9fAMi0VcrkyK/jpOLVsSK8tXmcTfKzEF4iGnAKKFcQ8ztJWJM+7jrR/FScRrmAISV9Jl2859xBc6pnjKWIZaxx1i1SV05FHZIezwxEc80sc80ts0ApeQUnPFTr22ONW00IVIiL2YoNVqLLXSyGKLQXP1hiS6grENTD28XvamADKFFNc4mjbFvfccw/atn32jaf4nmK61t//IEI2UwOS38lIYWKaA+17s6+M2IzYym37YV9Kxmzsy07EVrHD62XLtn87L5ssjeFRDQQRJQ1KyU4YYCEV0Sb2o1p73tpAhLGgNbVJKMrVSwGulexbCXuqRAMS+DGgklImZK9TxsepDtbEvRD/lrIKyErspRKIMMzFZbZnLxqU2CIwYXc4llxhZ04QgyfGrgpft3gDgR023QobTsBKZIfIDp4CLoQZekVcArI4OSJz1yUdUErb6efi5u0EUKaY4sUabds+owHeFN+/mK71CxTqdCt/F6mepykhTSX0xnKUuoSiyieVEKentGdO4UC7r6EikPUsxqjY38DIE0VOJjMi+TH5KZmMJJzFWJOSUjAYV9qMuhAbiCj+j8jeQgkYFc/ngyEDGy6eMkbGM/yKsiNtJV3DCeNzLLt8h0HaUpiHyaZbwRNjsygJcxSx6VbYDnM4iphRj549Zq5HQ0G6GNOACzwDAJzwe8k/JXogNtn7JDXKLK+5pn2YpxTPFFNMMcUUL0BwYDBpNcZ6uXEZluIpDNWSAR3H5I+yb/+FRT5QAJFRP6M1fUtZwmwsivmy6LFSD58ihWNGbSYuBdaAQyFgLcNYjlI8m8t/kSp90m4KEJNEsUWFcHp8/XhcMCprBm6p/JnXTk89UpJeZgBC57E7tKhpwDG/RMdeNC7KinTssRc2sOdaOEQ0gHQ2ZkLNAbssjQZP+F1cWe1gO8yxFTYQWTopW4onlXEX5nrrn+1z6cR98VtOMcUUU0wxhTElanwmDfiKMuOyiaBGMmorrO0TCDEtyUEeJpo+QjGxpQ7H5bmsR5osSyvWvG1K5VhYeXFR7juqgrH/eQxgRuXDZVmwgZ+Y/y7BTOmZMjoHZABSVvjQOnBZe106VlG8k4SrxQ4ixFHWg1Nap4zd2Cb7+sCECCc6FRbmpefMaUTkRoLp/A8qIV7TKq3fG88UE4MyxRRTTDHFRQdVHmTtsi3dUnpeWKyVCoOjtncoAEy5miYCKUvC64xIGUVKqQQ1qWOysTrrYGjky4HcoVhBRWqlkM6nACPGWlh6pkzrlD+mJTGGo3i9XCeMjokDAAgDuR9W4ZNSppbymwZcMK0Ncu8ee1qZF1dHtG6Q7sNaatxQUIdYB0+Mo15cAY85ZVgcsIx10qlsuhU69rgQJMVTk2mAODNQ5HLKzq516RzsHMAX71w4AZQppphiiimeU3BhmlY+BmCkPSh9TUBuZKy2r4GgARNlPhKY0X1zP4BGvaucmpQVq3brb2X+KAZiynRDjKDAmuahxEpETcsYUEmdhQ9I75StFthEsMp4pMfL1xSsiDEeCWwU+wIg7YmGzM6kwxcgJZm5ASOhbTKaG31YemlcQIBLpcMX4gzLWCPCwSFi03UJhEQ49FzBE8MjwCOiY59s8ZfcAAysVNOSz0EYL+4LEFIASenNc/FGbVOKZ4opLmF85CMfwY033ojZbIZbbrkFn/vc5w77lC67+OxnP4s777wTp0+fBhHh05/+9Oh5Zsa9996L06dPYz6f49Zbb8XXvva10Tar1Qrvec97cNVVV2FzcxNvfvOb8Z3vfOcSvovLOErBq6VhrCu3dg029oSDVOdYJQ55D2qa1HnYukCnBpeAbKfdmlkbLY46GjtpFmippaSD8R6o69SkkZo6n2fyQdEJ1FMSkKbjKotif1uKxA1AtdJGlIFTVY0bpHGf77L4FdASY/2ftHsxIJN4aJAqcNJrOIMbFwC/BLz5tKylhChohU6Z8iFOLIuVHsv5U2Z9AmF3kOqcvdgmADJzvVboMLbjDLuxRUMBHftkfS+XXLxStuMMEQ6nqi00NKB1PRyxAjBNxXkPN59Jo8y19Bt5D9defCfuCaBMMcUlik9+8pO466678P73vx9f+tKX8LrXvQ633347HnnkkcM+tcsqdnd38YpXvAL333//gc9/8IMfxIc+9CHcf//9+OIXv4hTp07hTW96U+qDBAB33XUXPvWpT+ETn/gEPv/5z2NnZwd33HEHwvPsuvpDFYUbbNaCSBqFhyEBhbx9oROJEbxcgVcr8DCMUjncD0kIa5UgZZB3Amwip7JVawCYAI+CHe6H1FXafkQ0G0FDgOujTPTqAOtXjGrBwqzojxsElFAUozX7MUqDIqc0kZUFJzDic7rFQE0CJQZeogAeNwjoWJeE+J4zANKyYfbqk1KAH4oCSgCIJ4rSOOxVCDwQYuex1c2xE2aoKeCoW0glDxiRHZaxxnaY44nhKP6/7ho8MRzDbmzgEZPB25JrdFwhsMNW2EDHFc4PG9jrm6yBAeTz7bpxGXjBhIUL27jYID6MdphTTPFDGK9+9avxyle+Eh/96EfTYz/+4z+On/mZn8EHPvCBQzyzyzeICJ/61KfwMz/zMwCEPTl9+jTuuusu/ON//I8BCFty7bXX4l/9q3+Ff/gP/yHOnz+Pq6++Gr/+67+Ot771rQCAv/iLv8D111+P3/7t38ZP//RPH9bbeVHHhQsXcPz4cfzU7Gfhseb4GsI4pQLkih1LuQAjPxMAB1f2mEfKmj7FGgymrsl6LEsLCaOSfVIsrTPa3nu4a6/G3v92DVbH/T7NBrCWusH+50tXWDYNThQWIXoSzxIrEU4iVeQ+O8hlzAcdw9I/xuawk/STWNzLvpcnHfpNASvCrnDaVvYhlAp7IMwYfM0Kt9z4CP73E9/ChutQU0jAoyZhr3qWXj0z6hK7Yj4ngR169nDEiHrSM9djN7b4vx97Bb71h9fjpb+zQP21byPu7eV+PKXfjTJuA3f478v/jPPnzz9r+4mJQZliiksQXdfhoYcewm233TZ6/LbbbsMXvvCFQzqrH7x4+OGHcebMmdF1btsWr3/969N1fuihh9D3/Wib06dP4+abb54+i4sIZox0JESU0ioABCSYQVqq7nGZRSmBh3P7UzUWsdAqqI+G2aSTd2IEZh1zmzqXJRdGb+kc60rYFmVaXB8lZTNktsR+fM+JWRn99GVaRxiXei+iXkT4juF6SwMJI2P7t5/EynSMaqXb699e/xdGRPZh1UsUGL5HYnMABTEeYC9W9/J+CRRIHXE5a2N6Quw9hji+vptuhZoG0ZkQw1PEjDp4YnkcMQlhaxpwwu/pawKO+iUcInr2iBBWiSsHNJJiA+nn0w9Z9Lzej+kiYhLJTjHFJYgnn3wSIQRce+21o8evvfZanDlz5pDO6gcv7FoedJ2//e1vp22apsEVV1yxb5vps3j2IEJyBR0R8P2Qy3jXq3SeaXJaazqYxRwHMCjrx7UOxqUnStlVNzUOLPbHDDdE+GWEexpjOU88ErEC0N46nKp0So2IMC4EDAI00uvWy4MZINbUUNlMEMZ+qCW+K9WxSGDLzNmGOcMNJFoaY1CUknG9pHfytQPIMWZ+wFG31MtGWLJU9ADSRNBs7R1F1ISU+rEqHk+MwKTdjAf0LJoWB86ut8ZolR45KnqOkaWZo7t4kewEUKaY4hLGutdDaTw1xfcvns91nj6Li48ytQIgVdKMeu0800o5HjBJFamgtE1ZkhzjfhCStl3Pw4z/ty7I4lQbQX2EG/iAsl0uKnFoVF1DIYOEkcV9KjE2zUdUEW6uUipTOdLbh8fHAKxtzgiM2GvS6TlGrCnrT1IaiBTUaOPAKCeXgI7j1IsHkBJht1buM3M9HGLySokAgiZZgpq2SWVPj1hcuIhs1MZBBdKRQePG1s8rphTPFFNcgrjqqqvgvd+3Qn/88cf3rfaneP5x6tQpAHjG63zq1Cl0XYennnrqabeZ4ulDMg9rQIFccmuVx90IhCTwF6NMylbhUzSWe7aDJvGshYlvHSXDOPJmALf2XGmPzwwaImjgXHqsj1kqhoL+r0BmlAoKDNdHeT5tq891xfa2vyFK2qaX36Sv913Mxyh/lIWxbZz+JPdb07KUPxaU0ztGqsj7AwZ22I4z0Zm4HjPXJ1YkKCgBRG9iBmwz6tTqXnQqXg3cgpYmR3bog5eKoYGBeIDNvZn61ZL6eS5rgAmgTDHFJYimaXDLLbfggQceGD3+wAMP4LWvfe0hndUPXtx44404derU6Dp3XYcHH3wwXedbbrkFdV2Ptnnsscfw1a9+dfosLjY0fWL6jgxUKDMehVlXEs4Ow6ikGHgGcKIgh4chCV/TxGfpG/0xnQMzg4cha2NKW3xrcEi0T/hKQYAHAGE/gAJoKAiJSODCtqcCvFhzvGz8xkko67RE2ZgddqRdk5F/UvVQBLGVNBfposgKdEyjotfPLncguMH+0TQRExAB1iqfDfU62Y1tsqs/HzaxFTZwNhzBE8OxZGG/5OyR4hDRUMBJv4NN12lKiBFA8C6CK86Mj5V514UuqXD2fS5lOVOKZ4opLlG8973vxdvf/na86lWvwmte8xp87GMfwyOPPIJ3vetdh31ql1Xs7Ozgm9/8Zvr/4Ycfxpe//GWcPHkSL33pS3HXXXfhvvvuw0033YSbbroJ9913HzY2NvC2t70NAHD8+HG8853vxPve9z5ceeWVOHnyJO6++268/OUvxxvf+MbDelsv+jAgEXwEVV7SOnEAClKDVx2o9rlbccl4eA/MvIhdGcJagFLfHB7MhERBSJmBKFJJVNnqfFzpI52KVcsRu1GahzwBIYLgQcEj9Avwbo/Y5kqewKIjoZUAC6suSpU6QRiX2Hhxzi30JUwiFHVDxEAECoxYH7D+j7INYgZCyYU3sAhNCdLf5oCZPNYOsSLEZYW4R3LORWdjGgQfxlrBCTEiAeiX8ItdbFeMebVE4AoLrtDQLlrKn9FCNSfsI7YDYcU1WhK2ZReEHarhwNigPRAclt0RDLsrhG6JnlcgBPCwULO2kCuz1IoGMWAYrGngRSAVnmKKKS5Z/Mqv/ArfcMMN3DQNv/KVr+QHH3zwsE/psovPfOYzksRf+3nHO97BzMwxRr7nnnv41KlT3LYt/+RP/iR/5StfGe1jsVjwz//8z/PJkyd5Pp/zHXfcwY888sghvJvLJx599NEDr/v0M/08n59HH330We+5yQdliimmmGKKZ40YI/7X//pfeNnLXoZHH330WT0sLte4cOECrr/++uk9vkDBzNje3sbp06fhnqXkeErxTDHFFFNM8azhnMNLXvISAMCxY8d+YCdvi+k9vnBx/Pjxi9puEslOMcUUU0wxxRQvupgAyhRTTDHFFFNM8aKLCaBMMcUUU0xxUdG2Le655x60bXvYp/KCxfQeXzwxiWSnmGKKKaaYYooXXUwMyhRTTDHFFFNM8aKLCaBMMcUUU0wxxRQvupgAyhRTTDHFFFNM8aKLCaBMMcUUU0wxxRQvupgAyhRTTDHFFM8aH/nIR3DjjTdiNpvhlltuwec+97nDPqXnHffee++ooSARpU7YgLid3nvvvTh9+jTm8zluvfVWfO1rXzvEM372+OxnP4s777wTp0+fBhHh05/+9Oj5i3lPq9UK73nPe3DVVVdhc3MTb37zm/Gd73znEr6LcUwAZYoppphiimeMT37yk7jrrrvw/ve/H1/60pfwute9DrfffjseeeSRwz615x1/9a/+VTz22GPp5ytf+Up67oMf/CA+9KEP4f7778cXv/hFnDp1Cm9605uwvb19iGf8zLG7u4tXvOIVuP/++w98/mLe01133YVPfepT+MQnPoHPf/7z2NnZwR133IFQNn28lPFCNpeaYoopppji8o+//tf/Or/rXe8aPfZjP/Zj/E/+yT85pDP63uKee+7hV7ziFQc+F2PkU6dO8b/8l/8yPbZcLvn48eP8b//tv71EZ/i9BQD+1Kc+lf6/mPe0tbXFdV3zJz7xibTNn//5n7Nzjn/nd37nkp17GRODMsUUU0wxxdNG13V46KGHcNttt40ev+222/CFL3zhkM7qe49vfOMbOH36NG688Ub83b/7d/Fnf/ZnAICHH34YZ86cGb3ftm3x+te//rJ9vxfznh566CH0fT/a5vTp07j55psP7X1PAGWKKaaYYoqnjSeffBIhBFx77bWjx6+99lqcOXPmkM7qe4tXv/rV+LVf+zX87u/+Lv7dv/t3OHPmDF772tfi7Nmz6T39IL3fi3lPZ86cQdM0uOKKK552m0sdUzfjKaaYYoopnjWIaPQ/M+977HKJ22+/Pf398pe/HK95zWvwl/7SX8LHP/5x/MRP/ASAH6z3a/F83tNhvu+JQZliiimmmOJp46qrroL3ft8q+vHHH9+3Ir9cY3NzEy9/+cvxjW98I1Xz/CC934t5T6dOnULXdXjqqaeedptLHRNAmWKKKaaY4mmjaRrccssteOCBB0aPP/DAA3jta197SGf1/Y3VaoU/+ZM/wXXXXYcbb7wRp06dGr3fruvw4IMPXrbv92Le0y233IK6rkfbPPbYY/jqV796aO97SvFMMcUUU0zxjPHe974Xb3/72/GqV70Kr3nNa/Cxj30MjzzyCN71rncd9qk9r7j77rtx55134qUvfSkef/xx/OIv/iIuXLiAd7zjHSAi3HXXXbjvvvtw00034aabbsJ9992HjY0NvO1tbzvsU3/a2NnZwTe/+c30/8MPP4wvf/nLOHnyJF760pc+63s6fvw43vnOd+J973sfrrzySpw8eRJ33303Xv7yl+ONb3zj4bypQ6kdmmKKKaaY4rKKX/mVX+EbbriBm6bhV77ylfzggw8e9ik973jrW9/K1113Hdd1zadPn+a3vOUt/LWvfS09H2Pke+65h0+dOsVt2/JP/uRP8le+8pVDPONnj8985jMMYN/PO97xDma+uPe0WCz453/+5/nkyZM8n8/5jjvu4EceeeQQ3o0EMTMfDjSaYooppphiiimmODgmDcoUU0wxxRRTTPGiiwmgTDHFFFNMMcUUL7qYAMoUU0wxxRRTTPGiiwmgTDHFFFNMMcUUL7qYAMoUU0wxxRRTTPGiiwmgTDHFFFNMMcUUL7qYAMoUU0wxxRRTTPGiiwmgTDHFFFNMMcUUL7qYAMoUU0wxxRRTTPGiiwmgTDHFFFNMMcUUL7qYAMoUU0wxxRRTTPGiiwmgTDHFFFNMMcUUL7r4/wH1uNabrNajggAAAABJRU5ErkJggg==", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from httomolibgpu.prep.phase import paganin_filter_tomopy\n", + "\n", + "print(\"Applying Paganin filter\")\n", + "phase_contrast_data = paganin_filter_tomopy(\n", + " data_normalised, pixel_size=0.1, dist=50, energy=53, alpha=1e-5\n", + ")\n", + "\n", + "sliceSel = 64\n", + "phase_contrast_data_np = phase_contrast_data.get()\n", + "\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(phase_contrast_data_np[sliceSel, :, :])\n", + "plt.title(\"Projection view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(phase_contrast_data_np[:, sliceSel, :])\n", + "plt.title(\"Sinogram view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(phase_contrast_data_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using FBP\n" + ] + }, + { + "data": { + "image/png": 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L9h5ce8AREFmOL0YgAigcYunkvW2EG7egNgLMiEtqoNX9NoAgAhQjaNTI3x3JdxJN7UMsPSgymPQ8jAKoCWlbeR8YtLDYvahA4YGmBZwD2iC/xwietEDQ15mBGMBNCx5PQIUHDQagfg8o5d7mNWtlk0vnwQtDUFEA3oGHIyAE0JI5hNvvAnk53275csTttkKzvEYsHaIjuXaMdA261zdMRrj8G2difn7+Hu+Bbsw4KLOYxe9gDIdDfOxjH8MTn/hE7L333nj5y1+O9evX41Of+tTU+974xjfiyCOPxMte9jJcf/31AIBzzz0X559/Pv72b//2PhONm2++GStWrMA73vEOfOUrX8H73vc+FEWBfffdF9dcc8392t9tt90WRx11FM4//3zEGKf+du6556KqKrzkJS+5189fcsklePKTn4w1a9bggx/8ID7/+c/jMY95DI4++ujEfVm6dCme+MQnYtWqVelzF198Meq6xvr163H55Zen11etWoWnPvWpD6rkZJtttoH3fhO05LbbbtsEVQEEFVu6dGn6WbZsGQCg8D0URQ++7KEoeyhdjaLso/Q1Si5RcYUqVqioRulqlKhRcYWi0PeSvFaiRhUr1EE/oz8l1Sj1O+xfX/Xh+wO4ug/XH8D3+vBlX/bF9+S7vby/ohoV6fejlu05/TvVqJsCpddt1gP4qo+i6KMo+/BVT7Zb9lHUfRS+RhlLlLFAQSUKX+efqq/f3YOvBvB1H74aoAwFSlfJ50nOydTnqJb3xFJ+uELBVdqHEhUqPY+lfWfVg+/pdwyWwM8tkfdzgQJlOg+FXoui7KOgCj56FNGhsH+rAQrXQ1kNULgaZS3b8cGhGDOKCeAWGhTOtlfBUynbLXryed9DAQ8fCxTVnL4m59iXPVSuhq/7+ZpQnX7qKNcY2DRRvqeYJSizmMXvYHz605/G2rVr8YpXvAIAcPTRR2PJkiUJVbEgInz0ox/F3NwcXvSiF+EHP/gB/s//+T946Utfmj57b3HQQQfhne98J57//OfjoIMOwjOf+Ux88pOfxEMe8pBNutBuThx//PH4xS9+gYsvvji9FkLAP/7jP+KZz3wmVqxYca+fPeGEE/CoRz0KX//61/GiF70IRxxxBM4991wcddRRePOb35ySnsMOOwzf/va3E/di1apVOPjgg7HPPvukxOXmm2/GVVddteUbqd3PqKoKj3/843HRRRdNvX7RRRfhgAMO2OztUNc6iwW94IIQCwf2skqnICtoeQ+DovxCkRXJYLgQ4ZoIall+IoMi4Nr8fiYIOoCMrrAnhMoJKsKyLTAA+47AiljIdlxguEYQEAoMp0gHdD8ocEIpuPSCzBSCjiACaCOoCZ3t5gRZjpMBT2DvE9KT/x6AIN/DzgHegUIQtEXREApB3mfnqglwwwY0buQ9DmAn55ZLj9grZN8KD3j7UXTEOTlfXr/L/u8IHHS/OQJFASoLQU0UIWI7FgAoCt2OBzn5Lur1QGUJbhqAHKhXg3o92Q/mdNxynhjRE2JBiqTlc+/C9ALjvmKWoMxiFr+Dcc4556Df7+PFL34xAGDJkiV44QtfiG9/+9v46U9/OvXeFStW4BOf+AS+//3v44ADDsAuu+yCD37wg7/0O9q2xRlnnIG99toLVVWhKApUVYWf/vSnuOqqq+73Ph955JHYfvvtce6556bXvvrVr+Lmm2/Gy1/+8nv93M9+9jNcffXVCWFp2zb9PP3pT8ctt9ySEJ1DDz0Uw+EwkUZXrVqFww8/HIcddlia2C1RebAlKADw2te+Fh/+8IfxkY98BFdddRVe85rX4IYbbsCf/dmfbfY2iLV8o7UJ9iTQfc8j9GVis+QBgEzaGkwkSQwARCm9sJY7UplGP8aOwKUDF5S+l2xuo7x91gSGvUyGYEj5xZHWTiSpkn2WchOgk2YbQZMWNGmBNuYJnihN1qTJDFIy1ElAok7M3E1CSPYpRtmO030sHLgqZAJHPo58cnR/mgCMJ/J/nk6KuHBgItA4yHmsSvlxDggxJwvOyU9ZguoaKCvZn0kDblr5rrqWRMQSu6oE6grU74O8nAcqCqAqwWUB7lWyv8MRyDu4uQGoV4MLKddZAsgEuMByPay8o6VAdoToNz/tmCUos5jF71j87Gc/w7e+9S084xnPADNjzZo1WLNmDV7wghcAyMqebuy777541KMehdFohFe96lWYm5v7pd/z2te+Fm9961vxnOc8B//8z/+Myy67DFdccQV+//d/H8Ph8H7vd1EU+KM/+iN89rOfxZo1awAA5513HnbYYQccccQR9/q5W2+9FQDwute9DmVZTv2ccMIJAIRrAgAHHHAABoMBVq1ahZ/97Ge47rrrUoJy2WWXYcOGDVi1ahUe/vCHY9ddd73fx7Cl4+ijj8bZZ5+N0047DY95zGPwrW99C1/60pfw0Ic+dLO3YdwSsCYnysWItUOsnExMOpFC+R/Ra6JBQOh7ST4K+WysLCmAJDeFTPDs5O+hkh8KOoEHhmuiJDSFfD5WDqEn3w0CuBCUxRKVqPsZvQOXOvm2EdRGsHOI/VITC0kCDMmgGFMClBITU54kVCjCjVrQcCLbKL0kVqWXn6oA1x6x8gj9UlAQ/T5JYFxKiIj1+71P30kx5r8RgUKEWxyBmlbOl034jsBlIcmeJhhQlIS8y/tt+24Ii9MfInBdgaoS3LY5wbJ9dC4hNlRVQK9WRCjqdYnw4wgXOpwkTWSJGdE7tH2PUG1+2jEjyc5iFr9j8ZGPfATMjE9/+tP49Kc/vcnfzz//fJx++unwPhMZTz75ZPzoRz/C4x//eLztbW/DUUcdhYc//OH3+T3/+I//iD/+4z/GGWecMfX6HXfcgeXLl/9K+3788cfjr//6r/Hxj38cRx99NL7whS/gxBNPnNrXjWObbbYBIKTP5z3veff4nkc84hEApAzyB3/wB1i1ahUe8pCHYPvtt8c+++yTjvUb3/gGLr74Yhx11FG/0v7/NsQJJ5yQErNfJSgw4AWliJp0UMugACldUC77cBcgcATAKRqBDkNVEgp5TVbZXAmplR2l7wBRQm5s8pMJW7ZXDGMqFaXVe2T5KAN+IvtGTZTtAFJicQ7sFAVoIlDI5M5VgVjIBOxGemxtAPdK2WfvECuCKxzc4gSg6elU9lHRnzbmhE33jetCJncjwUaASwJqSWIScmKIiJbOqIngugQtBiGt6rmlcQCNN0gC4X1KUqiFvNbrgQoPHo/BbQtiByYnyIkhRsyg+SXAaCyITFXqeZQEhEcj+WyvJ9dK0Rv2lujIfQFPcs5HgvwETURD7YBm8++1WYIyi1n8DkUIAeeffz522203fPjDH97k7xdeeCHe9a534ctf/nKahC+66CKceeaZ+Iu/+AuceOKJiVz6ne98B1VV3et3ERHqup567Ytf/CJuuukm/N7v/d6vtP977rkn9t13X5x77rkIIWA8HuP444+/z8884hGPwO67744f/vCHmyRL9xSHHXYYTjrpJMzPz6cyztzcHPbbbz/87d/+LW6++eYHZXnn1xYJthduh2slQTDeiCEY0ZOsplsWNQdpwsAQ1ASAayJcK5MuAMSC4EJE2/cABOUoJoALMZWDWEtG6fs0YeEoyQp7gptEEcqoiscFVlRGd1HRH2yU2FIICL0CjmU7FKK8ty7BPmb+CTP8sEEYlMINqQpJYPRvUnLplIP0/YhaRnJArDzcJCQUhygCjfBgCPoe7+WcGVrTaNnHOfCgB1pUZU1UlCNGcL+WxCRE2TdHotbRZMdttRw8afK1tBLZpAHaFjxpwJMJ3PJlkpx4LRs1rexDVYLm54BJA5o0mQPTSShdC7hxSEgYFy6rq8abz0GZJSizmMXvUHz5y1/GzTffjL/6q7+akuBa7L333vh//+//4ZxzzsFRRx2FW265BS996UvxlKc8BSeffDKcc/jEJz6Bgw46CG94wxtw9tln3+t3HXXUUTjvvPPwyEc+Eo9+9KPxr//6r/jrv/7rX+p98Mvi5S9/OV75ylfi5ptvxgEHHJDQj/uKv/u7v8ORRx6JI444Ascddxx22mkn3HXXXbjqqqvw/e9/f0q9dOihhyKEgIsvvhjnn39+ev2www7DySefDCLCU5/61P/WMTyYwzURKCHJSSPwfldeDBaZMCqXJleKQESUZIaQShY28YZeATcRJCF60hKSkmY3IlVSy4KqGPwCgLQ8U+j+5DKTkmq9IDrUspR4GpELJ/SiYEUBHNykRawU3QhS5oill++ILpFK3aiB3zCWZKGLlHgCNaGDggiPhIkATWSoCfBNkLKQE36KHLwiL0o6Nc5NIvI2Lbivi4JWuCocoqAgVSkcFOek/NMGUJB9RdMouZVA/Z4QX2OUZGQ4lOSibYEQELX8SoOBlHu6fJyiADMDk0akx4sjUF1JGSnEdK27yBlFhptEUJRrFIvNV77NOCizmMXvUJxzzjmoqupeUYdtttkGz33uc3HhhRfi1ltvxTHHHAMiwgUXXJBcH/fbbz+cccYZeM973oPPfe5z9/pd73nPe/DSl74UZ555Jp75zGfiC1/4Aj7zmc/8t91mX/ziF6Pf7+PGG2/8peiJxSGHHILLL78cy5cvx4knnojDDjsMr3rVq7Bq1apN0JDHPvaxqSzU/Zv9/7GPfex9Kob+p4cgGTrxcqecopNPLJUkGzjxD6iNyRNFCLSa6DBE/VNIQuH0MzYhmjpoY2Ile0rcEy6k1OQbm82h3AxKaI9wZSiXV6ijxtFkJpUq9P2SoHBWJUXW73IZeYidffX6nd18quMBwqVDLH0qpSAKqZUNxbH9UeKuHEv+Di4cuF9lDov+nTQpSSWaNiiKQ5LENA24bcGjMWDckhiBEETRAwiXpK50eyWoKIFmAozGoNFEEp4QJYkBZDshgnp1ItHGSvAO10Qtxxm5WRRb1Oq1NeRrM4KYefPfPYtZzGIWs/idjHXr1mHZsmU44LBTUVIlcuCOWiNxPzwlEqskJ4KitH0vpRZ9rxh5SbLjlEdCgRPBNSlcEkEUMoFqKUGSJCTDMzdRCWvglLS4IN8daiFnEjOKxQC/0MCNrMzhksqGxg3Ye8RBCTdqlFOjSQuJqgiOstrGpk/KSQ4Nm0SWBZEkHDEi1jqBT6T0AUVaTEoMAOy9SI4jcuJElKXKpdd9AfzaIWg01u9Wg7fCS4ISo3BILKFgzghKrydoy+IQNv2TLj64DVLmGY+Tyod8Ju3ypAHVFXg0kr/XlSh8+hXaJZWQgx0h1A5+FKcl6XoO23aES795KtauXYulS5fe5z03K/HMYhazmMUsNjvYQQixyaOjI+e1RCNytwKTEBKOMXucaJIBR7KQJyWioiNPBUAgWb2XTrcpf0sJEgHsgVgSiCkhNRRJybsRxjSx0gOrqoVVBkyBwarqkTKLz0hIRy5NTRT1TScxmT45ndeDMIG7KhzZB5Ucq2dKNyEhc6q1bVniU0ASL4IgO4CSUl1W7ECUOWzKny5/JEZQWYqsmCWRQYiCvth7IDxfdgRyJJ4nbSvnBcjJipZ8uG3FS8Wuk1Fu9IcLAttNEDvlqvuBicwSlFnMYhazmMXmhyUg3JHhQIivfpwNzSA8V5moDPHQySlq+cVs6GVyZriQSwMAEk9FuChi/mWTvbOSjlMFkIVTVZFTXgmEsOqHIZVwRJKbpbwy8QeZtE1ibL4mSvDlwokVPqnKR4/HkhxAEyxPiL1CVDVmwGYlmO6xdW38rRzShLw9lfgaOZgcJ2l0Liu5dAxgFnM3+z77d9JIYqhGcZg0oKYFxwAUIhVGiInAS8zAYCDntWmktEVRREpEgsrYv+OJoDG670TCB8IYqdQH/VhCicL/IA7KeeedByJKP0VRYIcddsCLX/ziTQylZvHbGccddxwe9rCH/dq2d/DBB98jwXMWs5jFAxOh59HOFWj7BUIt5ZRkuhaBULts4KbeKK7NWUSs9DPeJmNJRoKiJH4S4SdRyJX6ucRhUGlx7BiBUWD4cZDeNRM1NXNmHueTWZx5qFCIaupm3iqWWEVV7LjkZxKrArGSZCb2dE3fMU5LBNduRJ5OMizRICQEhiatJDiKpiQyqgPioEpIBUV1YJ2EdPzpO7xPPipceElG1q2X/Td3WX0vN5q8KMmVqgo86IH7Nbin/x/0gLJU91kniIt3AJvEOICNKxPCtLeKy8eanGO1xGaJVpKYb2Y8aBCUc889F4985CMxGo3wne98B29/+9txySWX4Oqrr8ZWW221pXdvFg9gvP/979/SuzCLWfzOhqEgZLwItTRPtvclIdZiE+8Cw2uSESuX/FFAkFJK4pYgSZCtDEOmgCF1hiUk23TZD0xPdjpvxp6fbkZopEwnCZAfRylRNcINoSYImRQAnEPolyrRJTVrY8TKTznAUpItCxJErCWdVpoYmmw6+Z8omRe6y27YTm0rk4JFsizn0esx5+SKtOmfOOA2koRYmaVpFd1Qp1yVBQspNgDOgys9tqYBls2DeyVo1IDaoJ4mlEtL3kmZJ7KSYoOgJVE5KW0rqqEOKpTk5S3Dj4KgSYVTh2CGbyLC5t9qv/0IisXee++N/fbbDwcffDDe8pa34E1vehNuu+22+1QRzALJK+J/Uuy1117Ya6+9tug+vP/978euu+6KXq+Hxz/+8fj2t7+9RfdnFrN4oCLxQ7S04hpFOliQk1gS/Ej67EA783JB0gNHSzrUSkdiPw4oRkEJlVkJwzqpRXWVpZblfRNxKwUgTrHqp+LH4icSlQzLJPvlR0HerzJfMXmT/YL220lEVO9kwlYzNDdqk7cJO0I7p8qZGLXcM4FfO4RfP5ZEpgmJz0LaY4e9SoijdDz2i40kJ+Y4a8drrrPegyatfHcTOr4nlEpBYssfcnJi/jKxU0JatwFceHBdAf2e2NerIRv3KuleXHgl6RqpNghJuBEUBms3IK5dB15YEPWO98JjYVUARU6OtIYAUZQkxE2CcIa0/44fy7XDPcjG7yseNAnKxvGEJzwBQLaxtrjyyivxrGc9C1tvvTV6vR4e+9jH4pOf/OQmn7/pppvwp3/6p9h5551RVRV23HFHvOAFL5ja3g033ICXvvSl2G677VDXNfbcc0+8613vmuqmet1114GI8M53vhPvfve7seuuu2LJkiXYf//98b3vfW+zjuXXvS9nnXUWTj/9dOy6666o6xqXXHIJAOALX/gC9t9/fwwGA8zPz+Pwww/Hv/zLv0ztyymnnAIiwo9//GMcc8wxWLZsGVauXImXv/zlWLt27dR73/e+9+Gggw7Cdttth7m5Oeyzzz4466yz0DT3wypQ48QTT8Tc3BzWrVu3yd+OPvporFy5Mm33nko8k8kEp59+Oh75yEeirmtsu+22OP7443H77ben97z+9a/HsmXLEELO4V/96leDiPDXf/3X6bU777wTzjn87d/+7T3u6yc+8QmceOKJeMtb3oIf/OAHOPDAA3HkkUfihhtuuN/HPYtZPNjCNR2iq66YKar3CSEZtyWZLynnJAoSQpFRLLRivtaRo5qqh9RHpRgFUf2odDnUXtEMBzcOiYOS/sZSvvGTmBRFsZPECHcDSYmTevIop4NLjzCoBBFpQkocusqh0CvSa1yXIvstXCK7UiOTPY1EMcOlzwkQABpOQCGIr0obhaeiaiAuHNpltRi1KZ+EmpBs5JPtvPJFqJWEApNGJcMsyUivlsShLMB1Aa7LhHRQ02oTwggajgV1cU6QlcjJWRfOg3o13JI5UF2DTIZcFNKfh2X7xl/pJnLWTiCV2BTNcpPNT0wsHjQlno3j2muvBQDsscce6bVLLrkEf/iHf4h9990XH/zgB7Fs2bJkib24uIjjjjsOgCQET3ziE9E0Dd785jfj0Y9+NO6880589atfxd13342VK1fi9ttvxwEHHIDJZIK//Mu/xMMe9jBceOGFeN3rXoef//znm5QZ3ve+9+GRj3xkMq5661vfiqc//em49tprU5vye4rfxL68973vxR577IF3vvOdWLp0KXbffXdccMEFeMlLXoKnPe1p+NjHPobxeIyzzjoLBx98MC6++GL8wR/8wdQ2nv/85+Poo4/GK17xCvzoRz/CSSedBGC6T8vPf/5zHHvssdh1111RVRV++MMf4u1vfzuuvvrqe+zncl/x8pe/HO95z3vwyU9+En/yJ3+SXl+zZg0+//nP43//7/+Nsizv8bMxRjz72c/Gt7/9bbzhDW/AAQccgOuvvx4nn3wyDj74YFx55ZXo9/s47LDD8M53vhOXX3459t9/fwDS+K3f7+Oiiy7C61//egDAxRdfDGa+V7fQd7/73XjFK16R9vPss8/GV7/6VXzgAx/AmWeeeZ/HGWPEzTffjPn5+c1qNz6LWdxTMDPWr1+PHXfcMfnTPFBhahRTZnSlxPJ3KwEhOckG7dMjDfCUb2L9ebTjMDuTJwNmY5+kx1riCZVLCYhrGRFRk6OQXFNDLaoUv9imxMISBPFe4YQCsRcEhYJwT5z5j1hyYkZzbYQftTqJc0JRpOMxw41bkTeNJ4k7ApRTUmlESMLgvXJgSKox5nViSZ+Xc+XbXCaS/xh3pckyYgQVNknCBCIQCukh5Jx8V9fhVv/l8QRUV6L2MR8WJQmjKLLSxoi1bVSL+1qOy0pJdu9ps0RqGbEmRHJwkyhlvW5naifXfXPjQZOghBDQtm3ioJx++uk46KCD8KxnPSu9p9tSvSjk0I444gjccccdePOb34w//uM/hnMOb3vb23DHHXfghz/8Ifbcc8/0+Re96EXp/+9+97tx00034bLLLsOTnvSktK0QAj74wQ/ixBNPnEqO5ufnceGFF6aeIDvuuCOe9KQn4ctf/nLqGHtP8ZvYl16vh69+9atpQo8x4slPfjL22WcffPnLX04D2tOf/nTstttueOMb34jvfOc7U/v1ile8Ik3Yhx12GH72s5/hIx/5CM4555w0sb773e9O748x4sADD8SKFStw/PHH413vetf94gY9+tGPxuMe9zice+65UwmKJVP3Zcj1yU9+El/5ylfwT//0T1O9Vn7/938fT3ziE3HeeefhVa96FQ488EBUVYVVq1Zh//33x0033YSrr74ab3zjG/He974X4/EYdV1j1apV2HHHHaeuh8VkMsG//uu/4k1vetPU60972tNSB9xujMfjqRLbTTfdtMXLU7P4nxO/+MUv/tvOvPc3NuaI5CZ+EU6bAFLkBM8bkhK8WJ1T5GmnUeWSTKlaYGhKnlTN5EvQEUlGLAGy8oY0BwT8OMt6U5is117nvP/WHDAfpP6u/XCEa+MT8VX8X/S9HUUQoZJEoA0Z8bBwDIZazkct2XAmskrvmlZaAVhpqDVTNQIK3V43qTCFTlnKa9a7pyrFSdYQFzOGA7Q8o6UdU+ToMUt34yjutF6/m5QsS6r2setWlUk9JPdFbgDpmph4Q+l8K1oW/yc2C9xvv/2mft9zzz3x+c9/PiUi1lL9ne98JwBpqW7x9Kc/HRdeeCGuueYa7Lnnnvjyl7+MQw455B4nIIuvf/3r2GuvvVJCYHHcccfhAx/4AL7+9a9PJQXPeMYzphqWPfrRjwYAXH/99fd5XL+JfXnWs541hTZcc801uPnmm3HiiSdOrbaWLFmC5z//+fi7v/s7LC4uYjAYTG2jG49+9KMxGo1w2223YeXKlQCAH/zgBzj55JPxne98B3fdddfU+//zP/8T++67730e+8Zx/PHH49WvfjWuueaaZF9+7rnn4olPfCL23nvve/3chRdeiOXLl+OZz3zm1HV/zGMeg+233x7f+MY38KpXvQqDwQD7778/Vq1ahbe+9a246KKLsHz5crz+9a/HO9/5Tlx66aU49NBD79Fd1OKOO+5ACCGdA4uVK1di9erVm7z/zDPPxKmnnrrJ6wc++jWoJm5axlg6GWzVLIpiFLjXbLM7hk7SWEyh4EkrUG0hnVNBlOWGOkjGXgE3bDJkvTgWiNbUCDb4AqDFsRhLLZ0DLYxAHbMnOIe4pC9EvQ1DxGUD+DUL4J5A0+6ONQIntyHZbrNzeiwlaDzOA6Lto3fgJQPEXgW3flFss9dukO8b9MC9WvbTBn1dgdGGRVkNzs/JqrJp5W8JCg/gQR/JVRSAu3s94B3i8nk5zg2LolzwXvgHttqMEbFXJRIljSdyjuycmczWCIob+2JYzxXowF37zFPQ820KDmqCECNLB7cwkfMV9LXKA636WgRDJgJabvDN//xbzM/P3+N9+psOI8gC6JiM2X+Q/k0cC20klz7jNfmwx5WQk5SNgUXOZSNzorWuxWYlbyhJrFz6/li6Ka8WJoLT8q4hOXZOzVAN2oXZBQaiSI2nzNic9raJMfl6JBSmjUnlQ+OMLNi+UdPJmKxfj4VTArDeHxT1HmftMeQ4marBOWkWOAbgQk48usmC3qfUtEKWHU/ATdO5Zmq8xsmpJCMk44n4neh3UZdwzEqYZc4E2bRNUvm4JCXiS6Pn2E4h3z8Vz4OGg/LRj34UV1xxBb7+9a/jla98Ja666iocc8wx6e/3p6X67bff/ktXHXfeeSd22GGHTV7fcccd09+7sbH1tTVJ+2Vt5X8T+7Lxe+3v97aNGCPuvvvuqdd/2fHccMMNOPDAA3HTTTfhPe95D7797W/jiiuuwPve976p992feMlLXoK6rnHeeecBAH7yk5/giiuu+KV25rfeeivWrFmDqqo2ufarV69O1x0QNOh73/seFhYWsGrVKjz1qU/FihUr8PjHPx6rVq3Ctddei2uvvfaXNoPbuDzDzPdYsjnppJOwdu3a9POLX/wCAODLHnxvgNJVKGOBkkuUXMHXffhqgKKsUaBE4Wv4uo/CVSjqPkpU8t7oUbUOvpDtFEUPha/lfa6S/3MhP9FPb8fXKOqB/A2lfL6s5fWyj6Lowddz8v6yj6Loo/A9+XG1fJerUFQDlG0BXw1QjiLK1sk+c5n/pQolys6xzMFXA/lZuhyFq+CDQ0EVquBRcoFyGOGjhyfbToGydSiDQ9mSHI/9FH15T/AoqJKf1qHgAn4YUG5oUE4g52yM/BlXoeQCHgVKLuT34OWckO13gQIVfG8AX/ZRBoci6DG6CkXVh6/7cH05V77sw9u5KXrwVU/PYY2COue2N0BR99N2fd1H4WuUsUz/970BfH9O9iPKfhRljdLp/vQG93gfPhCR1DUM5Zc4xNoj9oT0mSZBVd2wKUMikN1jKSMY6iWSZMedBMeSEjISKCOhJPY+M4EzuTOApCyKldjkiyQZSB2RQ0yKGyGoFpokUEpSrJ9NUrWUHrEqco+dcZtUPob+SHmmAGuZSRYVlBQ8sr8uSZoB6CKlQ9aNWtaxxMP2yz5fFspt8UBVCickBHGQJZJjKQslwWpyMp6AFxYR1wiPkLQLMRUF0O8BdQWQk206p7+T2Nj3KnCvElQmBCHMEunig9KCwMpmrpOIJbQtyZ2BYrT5Op4HDYKy5557JmLsIYccghACPvzhD+PTn/40XvCCF9yvlurbbrstbrzxxvv8vhUrVuCWW27Z5PWbb74ZQG7h/t+N38S+bDxoWbJxb9twzt1vqfbnPvc5LCws4DOf+Qwe+tCHptf/7d/+7X5tpxtbbbUVnv3sZ+OjH/0oTj/9dJx77rno9XpTieg9xTbbbIMVK1bgK1/5yj3+vbvKPPTQQ/HWt74V3/rWt3DxxRfj5JNPTq9/7Wtfw6677pp+v7fv8t5vgpZ0kaVu1HW9SUdfQFd9VQGglZVVG/LCsWNxnWSKTiWIpRd0RFEJUw4kQp4hL3UpZLdJI9D74iQhArDuqQrXUsgreXDI9fhhg9TF1MvgReNGEJvIYvbUE6JgIu+lFbLIELlpBH5uWxngDBZuQ2p6RpMGHASlQJBurKQrNS6LDE9by/lGXuelS3JN3jvZT+uuGlmdM3Ugt0F0yUDUCBMZuMn8I8oiS03bkNURrrPCthWqbo+dSwhXskS3SaeS/aZWuArmJmrXmQuIokG3yQ6q9pCvY4XraRzks0TgaMgBTUHtD3QYigEYr0AcQ0XJw4kMC0gy48YhJRrdnjoJDdHxKvQ8YmT4URRuCjDVt4Ui1MWWU3JjCRJTnviNZJvQGy0zpE7HDSsSJ9vlUrxMqFW3WgBQdBJm1maKHy9qJOvjQyotNhULF06Ro+y4KgZmlBFKlShbF2Mu1XPFEWIJOG6nXGfZe3DtBdkBgJ6i4yylLnIuK3F6UmJKRnHNUBIKdZ0FAB6NMtm1yCgqVWVCNXk0lnPf02fUevGMxtocUJ5jiozYK5ONv9cmjLF0cC2nhFP4NnLcbmHzE5QHDYKycZx11lnYaqut8La3vQ0xxqmW6k94whPu8ccmqiOPPBKXXHIJrrnmmnvd/qGHHoqf/OQn+P73vz/1+kc/+lEQEQ455JBfy3E8EPvyiEc8AjvttBMuuOACdFsvLSws4J/+6Z+Ssuf+hCVB3cmXmfH3f//392s7G8fxxx+Pm2++GV/60pfwj//4j3juc5+L5cuX3+dnjjrqKNx5550IIdzjde92u33Sk56EpUuX4uyzz8bq1atx+OGHAxBk5Qc/+AE++clPYq+99kro1MZRVRUe//jH46KLLpp6/aKLLsIBBxyw2cdJY+3cWuuKzFaZqiigccgToJlJjVpd9elAUzj1XAgC5bYxvdd8FKQZmfQYcaYKYLPX7kyqHUOnlJQ07dTfzD2U1i+mkgppP5M4qHOiAsgkboOgd0Ap8k1ZVSr0PJyk7yRLDhSWts+b8gDaOt4SDSNkwrnUXp4nTTaWUhiaqzKVhFB4WRlaCcpq+Vaa9U4Sok4CYvwKK+tQI8mZGXSRdaQ13kEbOomUyTfVlGvc5kZuym3oXkfYdbF7xCZCO28OyZRri4YlB93QZCGZjZEgG8QM13WXhaImLavig1JJx0o17UD5HFbSikjSVT+OuVzQxuQ3Eno+ITDWUTiqkiTttn1PE8R4zcqfpXifmOLG7Oxjv0Ss8+uAcETcSBAE7pUI8zXCXAX2Ijt2wzYdD1vCGZGRhgi97/T+YhZJ80QWBnCUSmWivlFn12iTvXJhIrKyx54Vc6ttg8iULfEgAlUVaG5O5MWAcFfMx0R/T+XTqkyJYUKuulEUOfG30PMcjfhMnSRVCbQJYWl/BxKUrbbaCieddBKuuuoqXHDBBQCkpfrFF1+MI444Ah/72MfwrW99C5/73Odw5pln4oUvfGH67GmnnYZtttkGBx10EN7znvfg61//Oj7zmc/gT//0T3H11VcDAF7zmtdgp512wjOe8Qz8/d//Pb72ta/h//7f/4v3v//9eNWrXjXF+fjvxAOxL845nHXWWfi3f/s3HHXUUfjCF76AT33qUzjkkEOwZs0avOMd77jf+3344Yejqiocc8wx+PKXv4zPfvazOOKIIzYpFd3feNrTnoaHPOQhOOGEE7B69erN6lb74he/GEceeSSe/vSn47TTTsNXvvIVXHzxxTj//PNx3HHH4bOf/Wx6r/ceT3nKUxJaYp11n/zkJ6Oua1x88cW/tLzz2te+Fh/+8IfxkY98BFdddRVe85rX4IYbbsCf/dmfbfZxJm5DiAn5AJBWoHBIigJDTgB5LScZCi3bBNaG1JKdTHYIoMvwx0RliRY6+MkgqhO0wreIHXmjvddWlb1KEgPvUpIik3YHlDW42Ht5v3dZqWDcDefStriu0vdyVQo3xDqvJr+HzBGhSZPr4JNGiH/dzq62D93jVAUEhQhoJ1aEIJLLSSPnzYkawy2OE/eFQpRBua5yuQJQNKnDSTE5qSEqIa+2bcVr/BNoacOQMhoJMmZJKTrX1hQZKbYcgJJQj1gIx8AvtnCtNAM023rxLxGyZzso0A7E0TVqw75Y5eQhdRp2BD8Kqb8ORTH7cpOA6J2gCg4Q11lG6Eni4MYBxWJQh1hO2wSQGgwCkMlfyy2s3h2x8tklViXQAFLDQS5ddqEdh7StdmkvG6p1ebCTFm7cipeKlpDkWQ5w60dwi2MxRus82+ZEK0ogTQyGTUZmrA1AK0l6HJSCqPSqtACBusbSaAJaHMm9PByDFxeTgyx5J34o8/P6PCnplUiehcKr2Zs2DByNRJVkiXxVguYGmsCo1DwE0KSBGzZwyp8R9CSiGLYJLYIiaW4SUtfjzYkHbYICiIfFLrvsgtNOOw0hhM1uqb7TTjvh8ssvx1FHHYV3vOMd+MM//EO8+tWvxtq1a7H11lsDkNLLd7/7XTz1qU/FSSedhKOOOgpf/epXcdZZZ92rP8avEg/Uvhx77LH43Oc+hzvvvBNHH300jj/+eCxduhSXXHLJJhLjzYlHPvKR+Kd/+ifcfffdeN7znodXv/rVeMxjHoP3vve993tb3XDO4Y//+I9x4403Yuedd77XUks3vPf4whe+gDe/+c34zGc+g+c+97l4znOeg3e84x3o9XrYZ599pt5v90L3nqjrOp2HX5agHH300Tj77LNx2mmn4TGPeQy+9a1v4Utf+tJUqWuzwuBf7d8BQEsZSP+3bqesde3UPwRaO9dJO638bYBrZeXendS49FreaHIZw77HCHWTJpcxjMSn5Z2EuNSV7E+vTOWXlFgZWqHlmikSqdXEY5RBrovetJ2ECnk71IZczrD90de4EM6D/B5Ag0HaT+4mVl3EgSh9V7IDT9eilUQFsjql8UTeq8dvK0ZqWuki28aM/ljyZglVlzzYud5QrgOATEy24/dOLM49pWsCZjkXG9mpp6RnSwSJXLewZCKVPhTyL1ySEsMIrVDSpBq3pVAUhR2l8oyfxMxj0HIn6+FH7xBLh7bnU9nGELViFJJ3SvTTiYO50AJAOyiETBulkaBrIlwT4DeMMwrZBO2lY6gf5+tWCt8mFk6SpcAJyeHCwa0fJU5GIqVb52MtJ3KdyzT5vJLIpc1xtswLE3mWHcKg1LKuIGmJuO3cNIKniT7MTZZFWiwnUVU/UVU81ofH/m1bkSAP+oJK2jOr+8jeSQmoaROCw1WRn6XIyvux0hsh9D1Cv0A7KKauyy+91Zg3fopmMYtZ/KbCWtYf+ojXwg+W5MHPOCDG6zBuQ5BVf1zSz5NUmycvLj3cuqEy+wvQuKO4AbLqhAhxroZbGG+aDNjEaatHG4zKQibsjRACrjtcEk0e4lxP4Pxb75IVm/fqmQAZLJt2WjU01xd0QQdNS7Bova745udk4nedJMLKPeYD0e+By0JeG46AXi3lrIUheDIB9XrgJQN5z0TtvPu1IEz2GUOLtFSUSk2WcDiHuKQnE5cmLwna1iZp6CYohe+QKCcyGTkn3+dVtWXdcBUpA7Ts0JN29W7UaGKq50rvBwCpWVw73ICLf/6ezWpZ/+sKu3cPPOhtKFm4CfCUYP3oKfmZZClyJpBCe7FQh+hKEfm+okygTPbuCWXKHJJQS+mtGAUpFRlKwowwKBL/xPoDTXVahpA4XRPhh00qh5Ill4D6lIhyzjgmAMDWh4fEa8VNQjomN9FyXlSujRm6dXxUuqgJe5+cYZMUV5/r2C/h149FEaTb48Ih9ArAE/yGSdovSshpm3xMeH4A9h5uYQjesCjGc0TCB+v1plU/gPBJOkgjD0egqoK5y9oxpygKeb4UeYlLBgjzNWJPkShDfYwgbP2S9F5omxEu/eapm3XvPqgRlFnM4kEdCt3b4GgrTRpO4IZNWp2CGW5hBBoKNGwmTLJy0/4Y3iUEg/uVcC+Ma2GlhqHyRkwCzHn1SaNJHrgA0PoFmSBtVeadTL6TiXy+gzaAsnKD29BZqXGubVspxjgfrUDDgE74NkCGACqK7FSqdt5GqEWM4InacXuXERhNmGzFmwZYZpG0tgG8sCjk3IEkThwieDhU7orxTgi8sCirxLpS++82nwslHSeirydwXaTzHntVIjCLQ6eaXmnJzUpvxhsSLoEkQkmt0uYEMc71JCFULkPiw5SbD5P/uiNZqvucAFDLKs21JCBu1DBOSkGJQ6IlSnN+dU2ESY0BJMSk24fG/u46dveJ26FEcWssaNJkU/5QVKly2l5Msm/jY8m5hSwEDKFQC/pU5mmCJgZIvizmgxIHVX6/7rPxamKvSM9yQk8UQaQmJuTU5MrpXFsSwZIEubF4s0AbHFpn4rSIMOTTQSzt5/pCogVA/b4k6EaOLQpJTspCSOfWXFCPSZRAReZoWRgCA6QS5pTSysKaAyKjV6Lq2vx77UGj4pnFLP5HhdWoaSNGf1Vm/kgbQNABwkiStvKuHJi91KmNx2AcCF2JJaWONgKjpk0DJK1flEm1KtXXAUkdA8jkLQNMzJDx4jCrXqpS9nvS6N91dVx4oNcDDfqCBhnrH1BbbcpkU6ubjxs5hrKQWrihJERixjmayCpQ6+NUeBnlRhMZkK2kEqJs0ysZNurvRrZUhAVay0eraqRenY6bIssKUX1RAMh3r1/U5miqKvJFSjQAaBLn4ULbaTxHSbZKrZfkRcPQAPG3mSbGdstDFAKgnCObrLku5fpswcgcj7w6RpB/o1NnWIYkBy0D3hIx+Txp0pLcZ9UZNhFt7+k7SaTCTj1YoneyXTs3No8SMmqiZaCu8sdpWScbs1Hi9Fh/HLRKSHUElA6I912XYJJkmgoG1OAtE4UoPaNwDrHyot7StxAzGJQRm5ifae7kBm4SBFXxBDRIJaq0sCh85nZ1yj+kJVDuVbpA6KCEflrllp5hfc7JyrDByM8kz0FdIe1ciJkEzQwqkAzxKDCYdfHVbfK4mTFLUGYxiy0QstqWCZDaCNYVMjwhljKRuUmb1SKqArEyAU3aVPJIct11i1LO8CovLgtJCBqRqtKkkVXVWGW5Rv60ck2jUuCyAC0ZAIsjJKvrEMTrZdCXRMKQBC35cFXIoFSVMjdYcqDKGx70RNa7YTGpc4QUq6Zy3UkpBB1IFT3hRv41/gwgCddoLGWafg/JQMqrkmjSSC1dE5846KnEOoA8A3UFWroEvDjKyY/W17FsiQ7QDrykFrm1SqYRIqjwuZOsIT9aakqrWTXTAiDkV01mjAAr5Ecv8lU9bHsd7GRCcJKMoI3yHgewTmhdtOuBjuidVCeMXN2R87omSh7tOqULlQYntRLyJNWVAbtJnCrJTCMqkpxw4cAxJsdSMMMp5zuWho5A/ViQEhMA0sNnEkVV1IR0jQ3J4FLkvLJ/DBivRCXAJhk3pMEmXevlA0iiQm0EOlwxQZJ0cVB0vEMAuf5s5nMOiGHaJsJ4V1bSVQdd30aAvRxaN0FRXpOZ/aXEwysXxjhmKQEy1KSzjV4lfX4iJ5l/4q0xy3PALAo97eZs19Kua9cd2DV6vVSC/aAxapt1hJ3F72pQG+EWxqkpWYL4Dd51SO3eE9nVUZLowso7IYAWRiorLjLyYj1DjNTabXDW5ZtAVn7cr8HLlqTmZ1x4MXiaTDIs3pW4EiEOelJKiuajIogJaykEIYLqGomYCgClGD8ByPJhlVjTaAKMtGxkA6eR/ExFY1Jg34HhNdmCmk9JHX0oknr9Ia3P0/oFKU2NJ3LO1RI8GVzZvmqZisZa4qorUUD06oRwpNJY04pywiYaJUFyVYgSK0aF3vWEG1ehCVK265QZuolaKhWw9jkZd963ZQEUAMjlncjCKUlqFLnWoecReg6xEI6KGKm5KTfRWBBi7ZLrq5VkuHBJyWNNAaFJgnU5BgvqYoiIa1k65mrDwVRecEDoOYQeJYSGPSHMVQiDSlQ8Rd7/dD8bKhA5k1yJEOsiPafmlEpBSzATdZ9NSiFNSFSFxVUBvziZttWHlJzcZKPXlLdC46bjcKwTvpaS4hKV93ebAZrLbyHdmVEISkf6LLGZsBlplyh5InGlvkZWdq5KcK0lYyPeRgavXScqH/ucolaxcAiVS72XkouvkqVjSWj7G5WM7iO2WIIy6wg7i9/lYE8C+QfWFXpME7IbNzAre66KZHlvkyiXRbbgVkjXjSbSiMxaqnuXnTANdTD0hDsyYVXW0EgUK+ItIQof3nqZdkbtqGgmjQxQVSn7oDwQc+Mk5wQitrKUws42+XNdJj8V68iavD2UlAqvydFonM3kNGkgU80Yt8a5zvYYcdATNKMUSST360TSJeOuLAwlmdLEDFWZVpLUBtC6DcCadXCLEyHXDsfKX9ESVacEk1xSLTpQPrVRzlfhZUXbmrRcVqQ0abR2rwmHlvpgr0GTGJ2kJGn1WYa8hYILSl2IoyeESpKJWBDauQKx8olzYBOSSHgx5RTrJiIP9qMIPw5pEg61qnZ0YpPkR0iXloR0lT7RO5XyRvgFldQGVu8U4YuYQRtFRqzlWYr9QhcBMSGSsXAZETCfIUbmAE3Ubyia3xAQe4WUXrTUxKUYAbpRk+5fAIkc7RYnSX1H4wZuYZzGALLSk9NrP2qmZMlu1MItTgRVM/Snq1YrvJi0TVr5Mam8opZywmJ6JlmRFUCeMRqNBanVcnPab0VjuQ2Z/G7PXSuJmRsFuElEuajyYqeqq8oh1OJTkwjTmxlbLEHpdoTdc889cfbZZ2PnnXfGBz7wgS21S7OYxQMbnsD9ElFNopJREpAIfFMyxVbcVhNHxaS0NlkZWdBqyurvQW2AW7eYCK9kEmPvM/lTV1g0HIMWhjCFUFw2N4UucKMTq+4DK2LhFicCj3cbiIWMRKT92sge2+BjmjSCnii/xVRAKaGZNJnIO2lEIWMqGUM+vEs8nISeALnMVBbSOn6uLyUnIKl2SM8tF174HepGm2TDRu7t9E9J6oRxI4O9lseSfHo8yVwS5f/QeCLnWK+LQffme0KTNhm/WXIi0H52CabxRiqsBzhiQYKMVC5xUUxlY0RjI6W6iSQU1HJKMtiRGpNJwuAmkkiALJHQxCIwYinIC5DLBW4ik74LMZOpKZdg/GILP2yFfKpk3HJDi3JDmz4bekXmhfg8ybtJSEmiEdFhNgDeeCIxJyqMjBwMKsRBiTAotbeSzxJkK6sAIiV3yKRcoqTusp5LyQpfS6XmTJxcZ0vhsiCwlBDbkKz4ERWBcg68pC9KtrpMiYnxs2ikY0k36baEStE8aiTJSd4qgx5QlXArtpbns5XE37yZrBGgn0RUaxu4EJWHJNfNteLnsrmxRTgo/92OsDFG3HXXXVixYgVmLetn8avGFm1Z3wSQb7M1vXNpNQcSWSCGDUxJAOZMdO0mJbrqF+a9Sytb8xmh0Ti5RtKgr4NckUtFNnCaO613wjEcqe28qWOGY1G7tK0w/3XSJyOXBpVKWFmJSCb6qGod5ZqwV8TDvCAip8SASFdmIUgCod/N/VpoCVqDTwgKkP1ZbH+G6s9gCqJepSvhrAICJKmAWeSbsZvJgXWFyFCehXOiWlDVREoqLIGx6xA6yE4r6JAogWLne9qkWhKllUukZiMzGt8GQDpOck64RGokxw/w/dqN5M6qJZakVCmz74UzZQ4g1vAtg4Pcm2kVTUAsNdFRHkrUBMUcXV3LYOIkXw49nfRbI40rX4QArkTJZiiJ7Y9rGH7YaumSpATlSNxW2zhVbiF1LKam4+rrPaKhVpEFGRm32eOFHfxY1D3WLJCVSiPHG4AG4F6hpQ4PvzhRzgupk2wLNpO5UrklnqTBJ2XXWSkbCdLiRlr60XsiVuoNowgsMSMagR5I44YkgZowG8/M1DvGr+ouNNQDiAC5l9VGgGMU0nxdiUrJay8kdpKYRAa00SG1MkbESizwNze2SILy6+oIO4tZ/DpiS7Ssp0kD8iG1ek89XzqJB0ohnnKpky8i2BUZeWhCTghscqyL/LqqdMjarqsZEwEyKIWQVC820W9iOW/yxSjJhkgTNSlpw/SKbKiqnUIIrtQhyab6da3qHzNgMzlv4QU+Hk+khKTKn67M0tRDXTt+mRyhpNlJXvlZQtC0gsbY+4PC2w6ZRAgk4zpL0CzxiINe/uziSOrugHBrHGU1j0qvUzLSPWbzWdGELiUfZshmE4EjcFnryjvkibzwuR8TVMY6mfxmbszNCCFPUuaMQCZkNxF+CGLHC8URAjl4xEySJCFxsiIm3b4+qZfOKGTpOlFKQlI4TDfQM54Dicon7yyBHUvyAkxxd8zZmIwsC+Ec8WDT5M81AbH0QCEJBrkOARVIsl/XGPlUJmoQg5344sTSI9Zee/4oyqldnlMiY4lI6VP5yPxyGLkXE8WQ0BczakvutXaMMYobcgiyOFBFHdfVNHpKMRvIOU3y128Q11hLhruJvJLSKSGLwrWJldM+R3o8lse6XNZjwm8/gmJxfzrCvva1r02/r127Frvssgv2PfBNqCADWYJblYDVbUzFBUmGCyVIOZrqDdBtPGUtwt0kAg4Ipaxsi1FIF54L0dvH0gF6wqO6KZJK5Uza5sat1GTVdZCdNJvyiw2iNYiqvPYt4HSBAaTOnMSAHyqsq99hUFr0lIhnrhHCmMGd8ISmX8B1tenmU6AWxOwg9tI60YXaw4hvIh1UYljl1L6aUG5oktnSVDtzR6nPhp0nWcUIOYqMxKbXiVpGs0Q8L/w4pmsm/ypM3Mh1iEbAm0SdZFyy3DYiHRnhkrQW7gi+iWmgpJaTJNE1EW0c47vfO2vLtKzXFQtXpghQdQeqKZv65JHiXCrzoPAKE7usgDFr+lGTyXBlkSzaoRM+j8agVomnRSH8i36dExKiREzl0mWXVOWJkNalKXLujQOkpIFM5us9MOgLGlJKrR/aMychQFq/tgmYOg3N4CDQcoevAqhLrCUGZuBWFiJpnkxSg8CU4JUqy1yc5OTLpJid402JVSEDt7WrB6DPtU4EjZZ+6iqPOUnunGH8JFsOEbHfISVGSvwCmFuqSq+FXOvT2MFEgPm/UO4zM0Wm3gJBplLtdiVm4Zu4hjMJlgis400sZPwQRIRSn5bc7RYw7xIA+fi0Vw/DrPBbxNqDQdMJi36/lPdimhDJjOG8ruqdPFPMihYaCkIuucWyd4mwakor2UdOpor2euw6OyvvyhQ57MzADel7ZUMy5idrfiIpj0bb55gVUETgUjllLOTdWBcgI/E2QSTR0DmnoyjK1ysK2Z0FbTEkxtR+qMrcxZgoI6VtAGol59vzas+v8VrMgVYdgYll3nKAzHt2fvU6UERCijYntkiC8uvqCFv6GoWrp3XzOrmClZOkExiRXX1lERPBdRjiXOaMHwA85MYy6N9RADkgVg5t38ONI4qJrC4JkE6jRICHdp2Umio8A5XPDxMDLkZgaQ/OZUifgw5A3h5ueahslUJeyV4E6QoJl+V9LidUcDapM0JdoLKkIfJU0kakiVxgkIva2AtwXssEJbKHQBsRvUeonCQYcxXAQBEZ5DmtjJzVLyvIg8wAGk1u4OA4AgVyclgCtUKy5OU10sSkYJZ9NOuIwFJz7afLnJIxLgjc03OrN38JzdoLpPNJPltxO4pg9TbYEmVCLrPEuPvgW+fa1F8nqsRvoCvrtFIv5cGvVJHTaYpmHg4pqOPm6ESmKd1+9XXjQpAOhEMtc2hJIpugKcpgHBdAiKvagRjeyedI3WYVrTFpsKmQbF8t+WHbL++BIoIWJnDrh8BoDJ7rZzvzVqTOAITkmuSNHm4kqhwjvNJY1DXo18kHJZVWqCO3bAN4OATIpRV18pKAoiwN57LO3ECQp6bNJGE7F97J8dlzYN9lnAadwMh6rpjlv22n4xScZMgOMPn5JmTcLRSk3I8kJWVOq3s3CmlR080hzM6eSe5VKwulbaqpW7LCp+njNTlyJoQiOczKG2S84q6GtbOP7GSMtjKNlWc4kNx797SyTxCA3XNRyesOMElyx4wsXaOOxJraKByWwgFO5xvOCFPqdeUc2OvvHQQEAMxniI0eUjpQoaUh3U8KKp1WInlqfeEg9yrJ/cQqte8S0hMK2nWYNiuAjn19Sk6UbE79niQyNr44krNPcp0zaqXPn173+3PvbpFC5q+rI6xrM2EKwHRGrf93kwC/qLX8Ts8I12hdlHL2CSCz0XteyFmKqshJt+/l7PqpSYORsSyM3c/lpmSyWIrcLlqfCYUwnXWhTQM4JwfFVFM1OZxD3jd92HMDuZhuAj8OQiZjBk0i/LCFH4cs+6p0ZRyFxGZoUtcq2rTtXj0E0rEH7blQCEISUj2Zcg8NQ4F0m1zkxlddG+zEnbDjaCWRCHVuQGakuK7LpEG/FJG6l6aumZO8kgKAUHsERX26q7gtEl31x6RJnX0TM1+5FtbvhkZmXGaGYpn7ALXlRmSZlLkzoTs1XDL1i/IpEhJiyYn1mmHO/JVJk5uF2eDUGcRYyaxcFkL0LRxY7bXJ2rZrAmSSYgAZubCkzPbZ9scm7V6dXVuBdEw0boDhKJt8mfTWSif2/rIQ0mCh7rrmFzNSgqqeZ3gvq0lrBAhkdCaNDxG8YQHGBYIpgLqhkxNCAC2Opki9NokkQnLXUr/VztWFEymxXb+gXWmbABq18jezTL8fHWF/3UEMuHFMjfxIXWBNlptQLx1LLJlJY4CbLg9ZWILgQtSOuCSTtY2xThFeGHrTTVx0vLRFXGS10beNUx6DFWVNhGrq7HOUck66H4Oee+1iTOb8an4mut9GbgUkKXFtlKaBkzbfnyyIuhGEEwJphFggI5Vd9Y8asjnt2+U0UaJOYsTmzjyaiDcQkOY7VgSVikLuvdE4JwqanMSqUJQ5SB+eus7PofG9zMRxOJR7mjk9/6yLaQBJ8g21OhBDvnw46TpsRmyxEs9rX/ta/NEf/RGe8IQnYP/998eHPvSh+98RtmW40EpSUfvsVmc3X4LIfCo3+HEA1MjHWOMIgBsH+FZgqUiULJpTzbSgxOp2TUSoZDJOun1HqexirorolCVSC27rUcAQU65CkxzOduFp4NXfoyUEmpDY91pSIT4aQCh8evBDLceM0CmP2MpGQwhtyrq2ElYhx2ISPqcThB8HLWlRYtinspiudlIfDk/ghN0iy8tc97spDTJOkzAubJVFQIEECbtxkD4Udk6cPMBi/pTrzkkJoL+na9wF2GzAonxet0RwXYK5lP4eVSFdTsdN5lcY+TOwyGZVHiyJcAQWRpJkaHJpMuWp7sMhgNBxKrVJeaMVDIWIWFdAXYIWRjLomCJGJb+pnXuaXIW/wtb8ziZy78TIaTgSB1kiaSw2GicDNBqOMxIDNWoLmf/C/bpj4d1BKQxO9g4oswqHu6s6okSoxXAE16sQltQArHeK3gC2krTSTOFSjx7u1wnhsHKZJGkCiQtHQFeoG/XnoaZNk0zilxABo0nqPgtAvGK0yRpq7b00bKYcY03JkRC+DpFxCjF7gMNcX6mNaQEFBsoNeq4Mte4YdLEn+HGURY/Pk1RKXpT4ylXH0KtAQkgtYknw4zx+AsiOpYZKQJIENuRaF3GxIFCkPB4O2yQXpkbuI659VlKl9geisMGwAXyZvIuyN4klF0i9kmTBkNEK2ycQIfbL1PlXzkEETWJafMZeAbdhgrikU0bUfXQJCSWRwTdBxhKTR5txoKNsm29cNO+BsXoAqdOz8EdISuaxmEI4UVdirGhWAIAQZIlSKdSaX8p4LPQFUyFRcKl7NbUydnEnsduc2GIJytFHH40777wTp512Gm655Rbsvffe97sjLDtC14KYugkFycnighC8QmSOcokj5gw/1SsZqfaYTiqQTmwywGkZ3r5fE4bYeVigyEAyMtLM0lqQc0EivWs4owCA7A8y9NldYbjOiiOSuiS2DBcjXItkkINCkQ+b7HWl7lrOPBhNwIiA6KTZVuh5+FHIUK2ZIxmkGeW8Gt/EzotsR3tT6MoiFpSafsXSSf5iiZmetzTwROHyWNMvdlbLzuhU7PBiAE2snLDD7ZwbghQdTbHEBe50yeHRVmnR/DO2UNCkBUHRAyWVsvYAoXEjMkU30DdTNmEzsqgSN7suqbQwlPda0zsjtU0amRCXz8vrusJCXaWBh0Zj8FwP1hWVBzUwapJ3CPXqxJkwRMaSf4OXqY3gJYOEevDCUJxlrXOxKiTSIFqVasAWZSI2tMSeByP6zmldz5KFspB97JVw6xZl1cgsCQQg380MKsuETLixIhFqqIY2yHEV2tSwI0WWMkyTrpUla6S9eew74Bx4fpDRjFQ+6BwjKYLVtBk5ArIUHNDOuZKkcU/67qQmdhuVO7gupoieWyRYVskZuZBVfaiFVyFKjajjLWX+V2CQ8vsSX0179sTKI9ReSzyAi5kjl9Y6QSZ6IWPm8dMWQQDgGuHnxUrGERsntaIt5f2+hx/pmGUeI4rcxV4JFwGnbR9Y+9okVFLVO2j02nTQvfQ8WL+kzn1gMuFEbmcWJ2mXLQSsGaF1QaZxgLOE1UGVPFDDMw+qCtn/cQOglESlLuHuXi+vqSEil15KUhFww1FGXYdD0JK5xJVEYPCgBi2MJPHXBQG32oiwbaXZoPfKUWmlMWGZuSY0scaGwv8zt18PuV6xcnALDxKS7AknnIATTjjhV/58rBxCUWjJRFEPQzRIHoow59NKHEA2/BlbXVhc78j5LIsLUTp0VnklY70zYuHgmxZRkYRumDxOyhQxs65ZtukUOWSSiVvafOvKVyfSUPlUI6WGkXgVjAQhOlJeSGmNpeQ7/DimrqLUsq5AAD/J5FkjrPqJ3vhRDI2iF24NOvCroUIJydDsGB6ZL9JGkMuqBGKWFY5yXsw6GvqQWZIihDNIglcQYk3J7hpOSbVqzNS1wwbJcZoHAXdauNtgaC0i3Djk5IQh2y0c3DjAxYhiC8LkFlwXyDbgSrQmSmhKXFKDFkM2ZzOZq1nBN61IUBNK0oImti1NPnq1QNC2uu/3wItDYHEEmuvDzM5o7YLsU+FBQzEpQ+GBMTSxqBNCwMSpZEOLmtwYNK3oANWVcEIcpaQCALhXy7ZNVWONCAEpjSTli8H8MSMsIcj7naxsuV+nBIUK6OqPgLGiDzHqSlmf1UkjBNd+Acz1hXC4OE7dYClEcHRpQkqdi4GUlCTUau0GSRDn+3DrpbTFgHhF2EcUNkcbhA9jJTWTO6vcm3tV7mKtZdSkxtKE1NQ/ZPuxhSJWDpFdWqCZlbn9jUnKqabIMaJsVqjlcYALh2joMzOKUQRxd4Gmz3NnIRe8LGBsQZeQ8iI7zIZa+HIJaSYZrxhIjQZTUl165XKJdNdNWnFQrfL0yESgQuX2pTjJmgO0LTKpCYh1kbsQm4GhITBEoEkr9xwj38eFmhtqCwvyylmJwv1LZV8A4iQb4JusQDM3YwCS9E8aoEJSBUkZNcgCxnpJRZaSD6ANREkvTZGJ8bo9MhL6aAReNi/PyYbFvMDRBXMX3TdAwDUxK7V0zgu/7STZX2ewchMAdRscx5SFJ3KOF4KRrKA5lRMAqWlGU+k4ZOKVlgaogxxklY/T7FzLHS1rHVAmbBcYrer1mWQSZSf679yCWh9ABzC5TMAige/8MMCNW3ApK4tYEZynZEAkrzlQdFOeAxHCTHcNgxRSTQ+o8lBAMtCZNXOsPFyMCH2f6sM24cfSaVlEOCFEDD9q9eGSa2ADVKi9OEIq5yXWPqmLgl4HKwkl5IqAYqHNZEBAE0bK5x5ISV90sjpL3B9kGDh5KeiDIOopHTg1MSUA1oWVu7WfLRGmMiMSSLlUvoT6ngCQc6KTWFLZOAemKANF7NACrUFem1FArsTansYNeGFRBqW6ErLnFFqhCftoLCvDQV/LN0J8Je1Zk0zRuhO38lkSGmj8Gu3hQ8MGvPUyIUgrUgB1rUQhJY6EPDgHtsSpDUBJyQKfm0b4M1r39nety2obQ0Dm+lJCUkYhOyfOvJboGKpkfUugZZlJI4+3Oed2yzjWkC1GOceWJOo1dOulJk++kzTYhOIcGBEYDkHG87FkzTlBRDQBsRKA+VBMmfR1S7NmyLWFInmQQMbRYPeClaaj/l/HSxezhwl7gu+gyzZ5iexbVJOuVU4dOD3/rOOxIcltzydOXFpMwSPMOVCrfDkVDiTUvGWgtDG7Yy2v5z72y1y2sRKrEpS5V6DtF/B6fWJVCDE7tnJdS5/K5XZtXLdbMrtUuvMbxtpjq5akqpJnKvQK6bHjRP3k9H5gqwroOcOIJYFhRpzvKQLXpnuSt1oqxxsYGI2n+kPFreeVuBuAYi4l4qk7+bygtjwcITUGhVYU6loUaW0E7rgLWDJI90S2uicU6gxsKFlaYMLm1wdBiefXEa6NcMjZO2zCh0JiiiQUbVByJtJDY9IvREY5lL+7oWS3ZvBDUUoOsEQkRik36EUV+2Z5YEw+m1CVWkpMNApygxMl1Y3UllkIm4xUikKUBysRbL2bkuGFysGPKCEuApUiewDoeWBNplwT0Q5KxBKZJd9tg6BlKSv9WB3YBSUQe68SXlW/VC6jNixOi0EHisQoB7SeCbQ9PyWbNglit4TlmpjlwiwPpAuSXCV5scG0LcMhJq6P00GGS1EJEeUHxZj7Ile2mjlPn68tWMfvyva4dkhGYgYbR10BRXmNk6qmk1RU0tXWeBJxSU+QpXULkoyUpQwyUBKbkuRSMzsjyhoqYiz7TnkCUevMhRfy66AnpOyg17BwU8fB46KjNOqQDRdH8ppB3nUpE7oiI5YscK/KaAeQ9itxQAq1+h9PhLTqVBpcFGp6pslZr5dVDBF5H5fOpeMXW+9GJJhAsvMWQpcmJC0SfC/QuD3fVXLmRaHvsbq+Xd8Ys9eK9SSyCaFbGmBLiHziDMCT1PJjgBH8AaSSg1u/5XxQYkmCDm+0CCRTtOhY0rVxMCuG6ERFmUizhngauGLHbecHSMhqcqFtGKHW7+9IWF2I8OPM8bPkx+TH0ihQkGcfFbU0aXGlZZPCSUUnITZW6paEOw5KOOWJiLleRqYzkqBGcaR5XOgkdCZFtqaRtmAtXOalxGzxQNRpvlh5mStKh9gXlCb19WFWHxOXElyy14hyA06yhbSeXLsfzbNIX6NeLeODIbNarqLFsbxe14o2alnWd0QHUZBBOLXQKGRgFoUi0vi9OfGgTlBoEhGXSGbqQkSEyycnanlCtflSM81abUAveuEQIMlIrOTmSZ4pzlbmlPkknDkNWS4Z4RcVeibhTBQLrTxslgRoYmIJTFLQqJIoNZ+ysZmkiZY1oWJpTpHLMK3sZwIBPCGSJEx+mB/uYhjQzBUJuWDmnBQRoZ2vEAtKsCcAiKmQlEL8CLkTpQYnDwNKqx3fRpkHSlPxdJItRTaSOqh0IvlV4lTq0WGQpZJ/Y+mkBKVQrSh6kMpQSdqmg4nTEldTF0CjSUm31XdnP7pqoC0R0qUWm/gWpPp10ybvkjTRkipzjMdhjbqMzxCRkgCaGyQEJBE/60oIclaaMfWMIQvkssOpo1SCQdOqmidMucumurvPCQ01bVp9pYldm43RpMkIgnOIPYJbHEkirk0KadTqeTCEoUzHYPwarlXZNBgkNMQSClocZWSq8DnB00SKxjoyN5PEM5F+Q5x7j8Qg58sSiW5SqIO+NVKkfl8TyCorc7yfGtjFb0NX8UE7E3vzXOFUehNiZwGaZJ6CNUkUwz65D1LpZwsFBSGzdmW8ZjGQiKo2LilKYmoc46jIuKVJhpZ8TJhg44KNnfad5kQqiyhO3DN0xiMyZ1uzYOisQcy/Kv2u44eUhTURDhFhrpL3TiKc3o8mHUbhJGUhZMRFS26xcNqBvJD/a+mWS0pzhZQibSLXsd13FweKpuvcwaaG9E7GVobYAXlBs2XfXCr52T3CXkqmrMZwqXtz6UETQxBJEns5eWA/APfEY4W9F+XkopSPxHPO5eRq62XaYVsQ36jNHb1VMHRune5IrefxflTWH9QJShgUUtfqmH+ZRjw1pDLuSacMEB0lCDD5f6gfiZQ05DPRy2o+19E04THDMUuw9cKbrFi+kBMZTBIfZNMalvKKD1l2lzwQOhcU0ERBDcjSTazHCpZ9i31xHHUxpkw9lblY2PVCnBXExo9DQotAwlFJJS1IicUeLpgzISNxY0LtFVHK6Eg7KNN+mdEaWG2lfebrRDj4GFLiEvqFGMV1jJmiz4hOLDJSZYZ7WQGUz1t6KIiEX0TTg1qWHqoZXORpx8kHOmIE+zJJw7vlB0OuxMNHyyHRZUTC3tNOsjmdogq0YRHo1TI5d+zSaTTRvjYxT3zGZTBbanWEROElORmLRT0iC8qgky4P6iSLBjBlLCfHxkLQU5hcOh7LRMtzPSm7qPwyoWmTFuxLmCIgS3ajDJZWWlJDOq5KQVFKtf9P3Y1jSixSLb1pQQ3SijApc0yRYD10tE8Re5fN3IBk5CaeR/m7aDBIJnEEpHMgJOJOmagspJq5MMw+KUaYBNJsbkkUmhZcV1kBBCR+Fw1bbOnoSkaTlFjLrqGWiS26jlqRcuLizXfKFiQ6RrlW3mudkEFSlk+mkVrukL8hIzedcbHri9I1uUxmkp3EKdQepEabxmFMCVTtkpCgGMnYHWq1qJjk8jLrYtdK+XAEPxTlSjvwoEpJrYrmd43oTLiQbCTKnLT4sSRxifdYikcKE8FVQlOIOu/FXinjOOQ8xdpn35/SpUWe8RhjQSgW1AxT1a2WtJkdRlRVqGsYReXhhq0kXoaaL6kQllZpYdhq12qKAA0tOekQpDvJdEoKNzMe1AmKm0SQF0KUESpTrY5lsvSjkLJuZpOxZtIrdCKPlUOxfgKKXozYNEMPlaz2C3VypejTZ608kcofajJGmv2HyjgYMSEmyVuklzkpto9RpXjGGmcnXT0juSlCrhsqX0Zhv5St6jGzDmZuFMCFrModOUSXH2orZRkjXjZMUqqJHXjWfAuUS4JxRDsQyaZ5uABActTtTP7Jt8UTXAhS8tIkrevUG2qvvRuQBplkdGQDoCUbuv2EmJAokCiSkneRScUOkrjZfunqyiTMcQsSDWVAb6ahfqKsGnCUklDjWFCIIt/tdCBNBFQgS1zNst5recEpxNu6PDm2rZSH6mp68gc6Rk52D4h3CkeW7RgHRZuEpUnXYO5eLZJaQyAKLwnSkkFSwyVvFDv+EMUdc6T+KdZ3iDmT/ZgFyenVco7aIOjMoCc8lXGWhiabe/VrsGQloRzKrYH1MULINkp2T2uyAEAQkC5Z0TnpFxQj4DQ5D3mBkFoMNK3A4FWZkSdArtFoo8SuUHWEfhczKyndVr5tsuSH33L3riGPxHlBIn/QEq4iooSMrESvnkhjSVI4SBdkgf47nigMLXlQGgvSwqKWyTbxVqx82EFFY5GRBxCAluGME+NkPI81YTwvysDogVhK2UrK5kCsIP+WgGsLmdgredaKIWfuW5HHKQtqS1l4VXlcFFk1RJmoiqJUem7ytsxsDoDYT4ROckNQ1NyjGAv66xoP4nKqrB0LwLXyuVhQlq1b4uaBcrFUHo/LKLKeCxeAybyIKPwI8JMC5TCi2BDgm4i259HMe7Q1oe3bGCT7Wm1guIlLSlYu8sLQyvs2B21uPKgTFHNNZeeSlwaA6ZsdSKQuk7MSkEouthpwQUiVsCQjCgpg6pWkNkAHYSCBDU2y6puYJsTQLxB6klh4nWDdJMIvyveEnqiHXCMJCjURviUkom5H+2/oQZI5OwjZVdnvtjoxBVO6GZVIa/OM2fCncxciaJx9FwydMBMgGySsLGbnUTL8jvRXv9OQjyQh7BjayQ6pT4dOwjSJ8FpOMoMkjsInEY8YSn4LXLqEpnglBWejJB2YXJYwmpw4ycP1wbCVitt437ZApBW+kdFsgCeXyyZKxmOnTcyIwBORx5pRGpzLTfKIZFIGZOI0+Jc5Ne2TEZSEA1IWiEuF7Eajaa8VUStoclBXUrbpmjfZd+nrFKPwVAoPCjq0xAguxFcFMUpbeSvXmKRXfVFSSSgq+cua+el2pmTILUvJqot0OO3rY5OmcVlMLsqcSX+2LavNt2pvb+WZRpQcCeGoq1SeEqJvk9xopVWAoFKpp1FHUmzNHNm7lHAmj5dkchVzYlhoMgLINlGAWL05XGdRsIXCTCYd9PnX08y2wGHhdrDLniZiRIlkBmmTsflK2Sq+nSsSstm1YODSZdK+IiqpjMMABRsfZV8odhc58mIoPZolDovbeazdI4LnW/g6wLkIEMN7RtN4WAbifECMTvhWlgC0TprfOYYvjWQrhHtfBMTg4IsI5yJCcHCO4b2coMVhJe9Ra4zQCjpDnuFcRAxeQU0GOfmM94wYCSFIj6h2QwmaOHDBoAnpcetuaJLDJYM9w42s7BPBhVwnauUzrnEIfUGaZUEo58iNHGI/gCYObiLH7RqPcn2BYhEYbwXEkhErRpjX5L1xqO5ymLuRUIydUiryHCLPNSeOY9fQ9JfFgzpBCaVDYbBZBybjiMxT6BQhDU5LvVk6mbsZ5QByQ4fSJUSBzBXPI2n5AZn8DEJL9VBHiMZZAZD6QCAmFMAIruJ8qqQhRpowjaArg6y9Rpr4CIKToFLKniaGHAGdZKxlQYE0q6WIbK/vKXmXWILBDvDq8sreJ6hU/nUJBnWToIRhJE8EsnNSCUnWN9kZl1g5PjRdB87MWiWW2YAWRa6c0CE9l0ZGbvsefqy+Jno9DQkTtj/ywGmJCLM8zCQIRtFsObicS48w6CsDv0N4jBGAA/cKuMUJuCiy74klAvrWVKqY6KTe5UKEKIiC9aaxCdkSgVoRm6pM9WlqRJ2VJte6BleasGxQtMM8TgZ1NpaLUXoDtRGubcHNRFAe8z8xB1tzVlV5cDKSUg5AQm1adVM1lZIltur7kuTK5uRqlvlWVpo0meSqiEqcE7WDWxylz6T+O5okoCpTmQehyQiQJZCW7BkBGFDUI0yjW5UkhvYZWhwJQjTR+97KUYgpGUz3xaCe5p8wKzJGnc8ik3G3QBTjAM8yfkUvfheuFQGBJSnR7AU6CYIoGrPj6BSPRhdmoefB2qPGdXpnxYLETFL5d7ChThOHpOQxU0gW5KQ7GRoqPlkKPHSvW3DQdj/DDuUaAEDDBRxFbFusw83NVti+WIvlfhEjLnFbuxR3NPMYc4GaWsz7EQIIAzdBpWzTwA5eV7sLscacG6OkgIa9EPvh8LPRSvRcgx3KNfAUcXs7j5JCel9khyV+hKVuiAl7jLjCOJZYH3po2GPrYgE3jLfGTvXd6FGDG8YrsKaVxUXfTeCIEZnQsEffNxjHApNYpL8XLuKuyRzmijEmsUDlWrTRYxgEAdy6WsAu9V0YcYGbxluhjR7r2hqeGONQYF3Tw9JyhJ36a3DreB5LizHGscB/rV+B//rZ9ujfWigpGbLgNCRb7wNEgBw/eJoF/nfDqZOoZeRJEaLkKLbWz1piMWIlAbIC05U/K4kulk49QuKUkkSQBJ8Z2oW4GVKrDGsjvMbs22G+JFYOkswxJiKtPCwysSdimT232pKa1BiLbIDW44q1g2tzMmWuuVb7c5Mosmp9XUzPdFsmR9bkiEw9oftobrNcdpKsCNidFksSPxd0SkrUQSqMs2OrR2aYfNpWQeYO69oongaQum7UpEkSoJj4QAntUhRKSnp63hWjNHTH6sLRO3CJxKGQJDYzzclTUqJsiaBJC8etnCfrequJQbKhtgmyKuVvNrnP9cWefTTOiIOVWExWbMmAoR0xCvJSmpJHE49u7x+V8cIpGbVUPxRT3zSNWmU3iHM98Y5ghtswSv1Gkntsp8RDo0lGCkZjSbKswZ52M7ZEKVnkr9sgpSVA9nc4yttLbq+dkpWhRIYkMUvXVVUJOXtPjKl7MrVtkkhLgjFGkmkb+mJ9iNoABCELdzs2p4SGO9dM0SEuRemREiktvSXkyNAg46p45XxNmlRuk3YH2YKflUw7JfN+gCOWgsoyIfdbGQt3LNQOvssxIIjiR8uWromZ22fch9LJmDaJ8BOxRgARIiJ8w6lE3S4pEQtC2bQ69ohXlJR+VfxApGMUJ26IqUaSkhPAsmqEPXqrsVNxN0pq0aMWIy6wPvYxV6/GcreIHrVo2KNHDZa6IUZcYttiHZa7RTRcYODERXjEJUZR7qOdinVYHZagRw08GBNI4jFhD9eLWBvm8MT+dVgTe9i2WIcSAT3XoIIkKgtcYSmNsY5rzNEEIy7QcIEJeyxyjYfXt2LejbCUxnhc/zosxjrtw03NVhhxieV+Ecv9AubdCHeFJVgTBigpYFu/DmuiJDS7FHdhgSs0XOC2dh63tssAALvXqxFA2L2+FT1qsBBrjLhE0IX++tjHCr8BmANub5di3g/R9xNcO9gGrvHww5hbohQuVQKk0aHwF1u3+ffugzpBsUkZUGSjEXtjJiR5q52YLokqTYIdPxF2UL4EwK0kGASZXEPfZ4ZyG5MNfCJ52ffbQ1FQ6sILrceyPtGxS1xqM1fDZHLmQ5I9BXS/y0wMzQ6xllzRlEtrVOKvrSpSh+dgcuHsD8JA/i7ODHoxCCKY4ZobCcLkkBMhAGrpn1VO1imYwIko5YKShxXWDbWWpdRpkCIj9sztVZVOVk9GhoLtWsJRNnDTffSNNP8zcp4hUxQYhXnMdPoCmVvnFosQAbSSMAB5wlEiMg3VfGxipZlsvJYafMWYEhGe64tXihExDS0xE7c2ircIkNUqzGqhr0mKlZVS2UhItzwaCSF00NfrTHCLY3BdJDMrN27AUYm5Mcp221ZUAq0iH94L7wNQhRFlJVLtgeDUNEo/l1RyAdy2opgBpgjFU7wSIJe3koNnKY6zG0bgfo24ZACuPdyoFdfbpgWv3wCQA831Eefn4NZuyH15DMkwxMI70LxIlbksJCEikgRs0JPf1Q7fODSmipLkqZHmdIUXs7imhfWBodEE1sYBJIsZ7lWSlJjSxzhAW5A/1W2RkQizTvJFP5FFV0o+1NW6WFTUSxOJ1FjVqQeK9keTsq6OY2prYMkGjAfHnbEKSAgqWkYxbJOiZOPxI5Jw/IqRx0JbYSHWuDMsAQDMawKyPvaxfbEGDct97cGYd0P0qMG62MMcTRDgIE0kGCVFeDAqFzBwDeZdQEnrcHvoJ1aTo4geRexS3oWFYgNG7LHCDbGTl/+P2COAUFLEchqhYYdt3aLuV4MRe6yPFTxHlBSwlMa4erI95v0Qy90iPFiSCDj0qMGcG2PejbDCDTFHk5RoRIjBnqOIbf0QW2OEX7RL4Ykx70ZouEAAYU2Yw07F3QggBPRQUot516CigLk4wYhLrPAbcGdYgomeJ+dZ5Oe6OLcSvS0uU985J+P/5saDOkGZ4hAQZPWptU4ZIDKhijBd+7LSgwsR3CJxGyJTJmEV+eTCATTiZO4TKx0AjZAbO8Rbzt9hZSGZLG0Sh7QE6Wb3nmSyt/0rHJilIZet+oXNndnx1kXUkCDzFUmlK9XYp+TEWrXbw637klQyRNr9VwYN4bVgIymfJnhtTmosCTLUJPep6NSIY/4+MW2ipIiiNiIWXi3JQyp5AchltiBcI7PTTglZZ8Cz+8EeDDeJ8J36tjSY1s8VBGQ38wc8wrI+fFDfAqKUzFI7AbwUk2lxJIhIXXUIsCz+HdrNl3uVGpMp8qWGaoKEuLyyt1JRJ8yrAOSkV45NtCbjXRzJpFjpZD0cyXVeukSJr1IGiUs7pm+G+lgYQVTN2LhXJafZOKjgFsYyMZP4YRCRlKWaRVAh38uFB9UiL6amFZQBUElum5ISisgk3qBIRi38F7duUY7HGp55Egv+0UTQKENgQhDyq4UZ5GliJuUkSW5M7YTxRBKXxZH83XoHaSt7alpgcShJT10JulIXGTGyRmshgqpSzpGWztBIEpt6Hql1P9aNfnM35y8JCgwUnByqTTWCmoSDF/JYS05rMNAFAYss3cYNa8lhfXtSCcexIMYFIRTKa7CeZoTpliUxL2BoEuF0UQkglbYBCPraFyO3NcM+7mjmscJvwHK/gJICbm+WokdNQj8ASS7mqQUwxroo98UolqgooEcBDgxPjB4FBBBGTGjYYcQleiTIiEz0DiW12NkvYjGW6LmAWuBBSXaYMEdtl6oNAAi6Pfl8QGSHBcgCw5KoCTwm7LHUDRHgMO+G8IhY0L+PuMTNzVapLDXnxvjxZDvsVKzBiEt4RMz7ETwi1oQ53N7Oo0cNSmox58bokTxf62MfC7HCdsV6jLjEYqywzA/hVM3AHsKD0euTElEHmLcLRQiauZnxoE5QSKW10bw3CqRMjaISI3XyBvRm1okAnCdmACgXBW73Jl9TZCKYKVhjpE+XDca6K3IglZvEbEkna4U1Q8+L6U7LSVLXNSeKnuCMn1EhQ7pF3o5xKCwZguvUXs0zRC38BWZWj5ioXiBMarCUER4ZJGQ/Qu2E19EEOHLZ+sF33Ghj53idbM/OgYsxITgOwoEpVFJs5zP1LIr5mrDxfWJOvADAN6y8GHFZdJMgCVuXqW/3wVg4McaFAVFKTlITxzZff4JOplso3CQAhSIZhculFO14y4OemIoBMklHg6k9sCCrKyybl8mw8IKyEAlKYg31rFyh/6fIiPN9mUQ2LE47pCqyASIxLzPjpu5KvSgEAVgcgZctkbLMSJr6xfk+wlwNd/saQTvKUiZkJdsmpGXdYjaIm7S5dMXq82HlLECQokEvNyszzowhPUF4Uig8UpNEM6NqGlDbwg17iLUoaGg4FnOt8SSjSGUBmFHbeCL2/4aQ9GvASz8f6iAz6bNNK8lT48Da34iqKql1yFCcXiUeMGUhKJeRlaMQbJOaqSyUx6Y8k6geM4UTXkoTwSXgFlvEbrfbBzoUwXQhpl46Cd2DjJ22ELBmgLKwQnbcNosCW0wZGh61LQfLwiYCaZyzRZB1IreFWPd1qGoQkeH0e7lwMg20UdU6wLj12BBqeIqYdyP0KCAWdyv3o8QcTVBq0rHABSI7zGlJJ8IhIGLEHh4MRwwP4X+s4QqRHRou4MHw1AjPBCElPRN4rI8lJhRQUUSJiIYcJuywyAVG+lkAaR+8Euo8RYy4xMCN0/8XYo31sY/AJPvGDoFcKjuNYokA4aYAQI8arI99XD0RRDIwoaKAeT/EKCrvJfaw3C9ie78WFSLWxD4COyz1IwzcGAttjZ7yb4ahRGzzojKNwToXJt8xSxS73KNfEg/uBKWNMuk7qJGRS0oOAFlyCiHUkke+mT2yDr0S1nnsaTKipRBpRiUDI5ls1lMyOTOCqnFenJqqJQ2/l7KNKF+y+Zs106OWBXbTkoxM7EiGRUIOk31qlnj4sSQg4m7LQBT5LnsnD3TifQAM3XcI695sk4FMakWQG8nUO7GiKe+F5NQIJPlxFznK5LecRLHCqEb8Y1aDOgYCvLo0WrkJ6XO2X10kpptYxtIhkhfzOJbzYq63CNlWnzgPgFKOyOZ4bV9QGj+SA+92SX3AQ7kjJJzYbHlu/AdTiPTqRIbtWlZL0tJRi5hCxfs8mcYozexM5ROCJAVpMjdiqvJaTPobQkYMmlaaipWlJCiWyIwnUp6yLDawmFr1akEmJg3gq1yyGE7Qbjsv5aF1i7LdQS97hCQXTUMNBEmQZ0w6tkK/jzvngiaNcFjsNT0uCk4aJCoqYiRaClHPQ6dztC1cBv1cdhpPskLIXHeNr2PE2PUL4Pk5bWXv5TOGJKmDJ/crKdcRZf6JITFG+E0cFH22iOAWhnL8pXqqaF+XFHHLJSjmr2TNDM2GPqGyytvrLqSsLG3IxxTvbqP5ysYRAB1hAbKPlFpDJAUhkHmHtTV11e0acusoG78xEDXhD4p2AMDAjRFiDwuxRs83cCAsxhrrYg8NF5hzY6yJNUpqUVKL9TEjbaVO1rcHQWEmmgyMuIRDVMSlwQJXWB97GKGEp4g5msBRTKWXNWGQ0Bf711NEYCdJhBvh9rAU826IhVhjgevEgWnYo+ECa9wYcxhjIdbCg2GPkiRB8oiYc2MstBVuabbCynKtnoMKPddguV/AMr8Ih4jlbhE7+jEigAU9R8K/8WjYY2W5BouxxjCU4IlLC28RX2TExMp4hnbfn2aXD+oEhQuHWPg04ZqTYHIrLJwM4qoOiAUl1YBxKyhEuEbRBr2Bg8+Jh2szy95KBzbxm7S5+6CFXiE1VbZyiEOx0KbSSzso5UIGq59HUJUVDEYmQytNoYwv4iacmxlq7x/S8ggAWZ0YWmRESyCbHHXKYbJK0wGlZXBJIvE1uJWl86SDEzKxnmtoh1Jizr4lXhAaajtcHy+qBz9sEXpFKj+Jdj+mwclk2MmkyRLLTi1TPsMpQfSjAA4siVnh0s1ukLFrI6A1bPGBEV6RxRQvZwsGjaV3izW6S31vACFxOkiPl7GasdUlEDXxULvshBo00lmUIgOloWdFTjKiXTdNVLRjsVjES38Y1vJO6msDyDb6tcD0IYpzallKYqHoCtclok0mTZAkqahSX6Cu3NYtKgG27qAk9r1K/qT1ig5ZImQdnptWEg4gJ0XJi8XcPnUV3wagKETgocgLiCQpCRG8RJOxDYvgphGkZn5OFDSTFty00hbAEkbjkxjB1hoX1qKYkslPkR3lxHQTJlL1Efu8L0ZeTk0ToYm+WZTruXHjRvyQKmlQlwi0W9LDR59LUHavBmQxFrVZKmvinUrNpAmCoiamtpmyq29lnAnq3ZSUS5ZkWOndPETMdkGDtZO6I006TbUYOXmWuLHy/iJhHAvc3GyF29t5RUGi8jgmiY+xPvSxNgzQ6CS/NvSxVbGAncu7EnoBAD2aoKKAXzRbY+CE9xHgsEEVOLVrsLXfgIpC+sz62FMEJkppyTVo2GMh1ljuF7EmCKF1rEjIynItdiruxk3NVnhULURdT5r8uAaLbY2GPdaHPtYHQUcscepRg0BSKjKujRGARyixth1IqacaYsfybizGGiv9Bix3BRqOmKNGS1WE1e1yLMQaDytvFwJvLIDGwY8VGScxmEzJKShdGwp8v8QJD+oEBWRJg/QoMLgv1yY4GZEljw8y2FBvdm0WCCD5aWRTmbwKMFMzMWyTB8gktV3uiQsRkVwyEPPaQyJqd08jwgIQxCdwsuOHTuKJK0OUtudiVgMBkBXruBXYsrPigJFmWyQ0B1AEpDFpsxRyg0oBrfmfQXNRDeaSn0xU7xdyU5AqCk12ArLqR03QiAG/wEmObMfcPddOB3cz2svdmbPKSBAjSismK3WB8mAl5TpSBUBHxmiKLr2OZoIXaj/F99kSYZ2CTdGRSLJGiDS/jg4BVOzxnfpqxJxkOErS1mRW5h3g1CDNSjWjSfb96KAnFFk4KEDmg2h33UQkttVy0wCxQlg+QOwXqdlmrAn13Q2KNYTYLxFLDzdu4cbiWNxtgMjL6mRA5uy5dCQyYEPjCi/nQVu/J+mxkk659Ml238onMvkXQKkuxzHve0o2zH+kkHISWYNC4zCVPicL3RKgnnPyqthRlIpbTWaqUva5DdKgDQAbgZdICLF63bmuRFoeOZXoUtLS7eVj+45cDpPJ1k/vG4BTTjkFp5566tRrK1euxOrVq3VzjFNPPRUf+tCHcPfdd2PffffF+973PjzqUY+6n3euLjIGSkjXhRgAVOsamP16cnYuO2imrq6hY6pTfl/00kDQgpQoDuSxsMs3zO6tlNzBAUGCqSVVBGV1I7Ei1UrO9GNgeMcA31vyMFxVb48QHVpVA4bosE1/AwoXMWpLtOxEuhs9muBBxOgXDXbor8NCqLBu0oMjxvJqCAAYhQJ3jwfoFw2i7ljlAnpFJrw5MFp22NDUaKJHq2hO5eRZ7xcNKt+ioIhJ9Fg76aMJHtv0N2DH/loMg5SR9urdmJU2KFFSi2V+AREOtzbL8Pv9GzRRIjRcYMQlVjfL8F/j7XDLZBkGfoI7VXG0dbEBJQVcN9k2yavXxhqxnQAg3BkHWIw1lroRAhPGscTN7Va4drwtVi8shRurk2xrvjbZK0vGYOhCkRJ5eXPiQZ2gRE/wnTIBk3AiiISTAFZ4FJl/EEsnHiK6+m/7PqMNLae+PQCSuZewx+MUamCW9m4SU+LABSE4QWL8OMKvmSD0PEK/kMSkw5uAZZQFUCx0ZkvK/5qDYHIudAQfQvJlYSeTQfIAqX1KsMKcQ7Eo3YrNbt/8SNKgx6J8Cn1xS3QtZz8TZJ+YbhdRNw5ikVzRFLxqyVf0evxDQ380+VACHBOkc7Suqmx/DWES5YoRkTN5V2TIdk5sBZWdfEEuJ0GVSzJlABnVsf1UKWP0m/+g/LqDtatwJhRjetKZCA9EvEaiJAfKT+B+LUiIIlVJagwkFETIpEEm0n6djcmKIkt+O6UgmgRJXrQ3h8hqdeVrE4b3wOIQ1LQYb9vDnY8qMV6uE4gDqnUF/KgPLpBcKSkAugCEOV3m0h7gWiQ3TT8GtrqmQu+6u7KXiy04OiUNUkM0Wj/M6iCTagOCiHik0giNxS4/LpuDW095ZW7nXNEm6TFT5P4qpoQyvoeiTbQ4EjSlDcn5lXtVQqY4RCAG0GAgxF5FSoSLo6Ui86hRXxXW0imNJ9NIEAAyFMYQHOfu0Un2UY96FFatWpV+9z5Dh2eddRbe/e5347zzzsMee+yB008/HYcffjiuueYazM/P3+e9unGEyqFqBTJmn89n6Pk0HmYfKHlPqN3U+AInHBOzW0jlbUM4I+cSLgAOgnpayTt9j5YNXJsblvJIxrtQW7NTHbsngtrW6yK2+qHHup9vjzV6P1pjWHbA7VrCAjqvm62LA7hg/NwB5XqSXmUeuLYn9zZ7ueeLkfweq4ywi+Or/EeSLMCa9hnq7lp5dthBbBKivi8Ct5bAD7aKYM/4/q474cW7FthHk5SBGyeC7JowwMpyLebdEPNugsiEkSYoy+tFXDHcFcuKYeKkbF+uwXK3iPWxj3XUw+3tPHYsRcVzXbtVUglNuMC62MP62Mf60MPPR9tiEgsQMbhkcc+18p8qdkQxyyjsehFyP6zNiAd1gmIugeZ2mnojNMJHEYt7UcIky93QMV5TB1pjh0dPcFoSYTNPcyTGbIFl1W2yKeudYCiklmls6EtEUdtHXUFY2SKqi2z6vLmmWrLUcYo1PgpNNEEiKPRNiRdjSh1rZZ6VQ7q9rnufKpxIV22ujWJMZ8cBe2h1f6z0Vbpk5taFXynm7ROZJLB7nRgUaer8WInKN9rltHRJnTNda6Yk2y7Xq3KlyMmIoFlS8om1T+odk3vbQIexlZ5c+jfSloPJDcGgJk73Zom6inZCCBWlSKf1AJGULayhnyl1zNSsFnM0hq5EC03AJ5LooGv6Zhb1VnrQ/bJJNPEA7LvrSiSygx427FAgPGkdDnzIdej7Bn0/wV2TOdy4sLxziBGFixgUE4zaEoULKFxEGx16voWjiDZ6rJn0EaLDTWuX4Y56GXa6vQdaJ+UX0knd7tXUY0iRhoScAMmNlWvNiAx5mTTAoCeoiyVcvNHzMG4Ebep0eGbjs3RIu7m8VMgKvR5kBMQWQ4NePq/e67PbKP9Fy3LKsQGgzQE10dEGkWR8Ft2/dM2AjJZuFEVRYPvtt9/kdWbG2Wefjbe85S143vOeBwA4//zzsXLlSlxwwQV45StfeW936T0Ge3HPdtrPTHYYCYWiwNLUlDo8PyAZZRIDbihqPRMhGJEWAIphm1SWadzU7Zu/hrUN6aIpYVDI4shKxYSElIMBNw7SEX4cMX8jqyCgQ+xvFMHWsc8WVd2OzbKodUnF6CadvmwAJssLRN/tb0b5/DgADJQLMRvK6d8sTHnYKvoeKjW+1ASp7TmE0uG2Yjmu3X5bLPND7Fbdit3LO+CJcXvoJ07NQqyxJg4SF2WF36By5oAxStTUYttiHebdKJV+jPuyqGZz60MfAzfGzsVd2KdajTWxUi7MEPN+hFubpai9PB+uQTJNtY7Vgmrp2MbZWXhz48GdoARWNQaQ1v2aVEgyICu/5FgJfYiq7BBLXss6QfrtxNIJomAlBVW9oMyeHpLqQxIfR+Lu2sbknMf6sIWa1BeAppQ/muen7yBm+IaThBaQSSGRODXJsbILF5IwmeQ3GcExSyJVOFmVEhJBTWrBSPyTNIERAREd2bA8FLbtCG0gZftic3oXhmVO3xNqGcQF6cg9hBxicucN3kty0oaUcJHtD5BbdOv3Se1YUaaNJOBGoKU25pq2HbcOmA5R4RcpOYV+kUs+WyhoPJFrnHgfUqrhptWVP6TpX09KDolvEpokMZbRlLJUObSgYUyoCpdemvZNGvl7r04E3ESGbhqg6gPWp0knfOFWQPbDqzurqk7a5QOMVhD2Wrkaz17xfSx1owQl3xmW4K6wJDlrDtwYOxV3A0AaOLv/75IUL122B7661RMQ+yXcWpsUFC1oKatnQsj+I+aSaw0LHU2RZY2EC0DJyJWQZq100DTyuyUfXcv9Ds9G5K8hNyb0XpsvSkJJw7GUSQtd/tYdRMe4RYtDKQfVVU6i7DtHyg0qB4moS5MGnNRVavLoNNkZDje5p376059ixx13RF3X2HfffXHGGWfg4Q9/OK699lqsXr0aT3va09J767rGU57yFHz3u9+91wRlPB5jPB6n39etWwcA8KMI73PJHMhjjE34yXBNyznFMOTFgt3PzACmFxXNkiKV+aSErwOOqYEqn1bmoiLMlwv2vb4zdrAs/lCQNJF1SMhMuaGRxagjJANNLYO7YSufNzmzPn+x9KjuRjL2NOWmm8jx9W+1hp5IC6E0lxAlKTQIqUQvz52Xpn+K1vsF2bei9Kksb1SBybICbuQQWNQ95uWye7kW2/ohbmq3Es8SN05/K6lNz9mO5d24FcuxUpGTxVhjTRhgtZq1AYBTmHPgxqhUSTRhh9VK0B3QGA0X2LpYwJJyDHZq79GaVxWkJ5NSAWBiiTYi/q44yQLI5mtai7SGcOKY6jNk6Kct6FG6NEknW3nO3JMkY1MGObUseYlegORUC6TyRJfABSAnSwCMSZ4eOCA/mPb+IndAFpUNdwyRJFkijgILshqu+ZzhRy99IjYZOLR9Nxv/hCVhECguq5GkPw7nmrF+3rUxmyeZG2xk+GEmLXIhqyGxpI7ps+ZpQvoeQWwyuS0hNpZcmIOmLS501RX6BbyurGKpKy1ttmalpCS3hvQ/yo22tJlkk+HjZPK2hYLrSnxYmFNyknoVGTfFEBJApbb5WicX1DGkP4xxVYhSCSD2KuF1mN+JlRaKIvNXUGYXU/1uGo6FnDsskuolEWhj1B5PQOFi8kvY1g/FBgMO62MfW/sN2M6vRwBhuRtjmQtYZEIJxogdbg1LsMAVti/WAgAa9ti5dxdCn+Va9+uO0ZyalpWFTM6mNCrLpIah0VjLWb2MOESWYyoLWaQ0ARQCaEMuDVEpkmAeT0BLBkkpZOdReCkl3Fj7FJl0WL1MsDiWJFD5PHJtjFdjM6Qqr0IQN18gIUOJsAzI39ZtEEVVlwNjvCu7d6oS3OZkDwD23XdffPSjH8Uee+yBW2+9FaeffjoOOOAA/PjHP048lJUrV059ZuXKlbj++uvv9R4988wzN+G1AMiu1MYpMsQTmFpUOVNy6IQdvYMznxooaqcIiBmxgaRUBO6UenQcZCBfG5YFRlJlKgGfmggin8j1qR+P9SEzEqfdH9C/W+8jkvKQa6LOB3o4pc8JRmAEs7KYcFooiR+WLjC1fUQstWeZ9nOLPSFBm5oJZBYMMn6JjYJ0+05JkDVIVUEHRcC1hDvHc1g7GKCkFmswh59wgW39eix3wiGZdxMAG0SCDEJJLTwYd/KS5LdifxOb//W4q12Cklosd4soVXkU4bAmDHAXHFY3y7FTeTcGbpy4KoWLgGeEHnLn+IB7NsLseORsTjyoExTSG9q8RlhJpeicAEMkbKI03kLXj8NNgjjf1R1zH91ut3+O+KdIecSxy7/bdSBkRY8FY0puZzbOrongmOuzxTAoYVCy9WlfgQwSsXepBJVuBkdgZGmda6TjsMntplx0DWFQNMUa/FntkCCrnMS/sRvKViiRQQrTpQRtwul95DKZN1RGqkWC+biQRFFgXIVSVeYtB8uJGGzXK2gZK61mGFMwvfVOyvVoPQavF0CvZ6h9Ok65Ke4H1vhrDi49YlkhNbWzScqkraakIRIOiXbrTaTMQiZYNiWOqVQ60ls3mgiHRe3lEVncU62MpBMujSfyvWWR5c3zc7JdtClRMq8VmZCANjqsbpdht+o2JeIxltIY2/p1aOC1bu0R4OCwCE8MT0DDLkkxIzuxFIfH2naAYsGJ+sp7oBb7eyYSczo1k+OyEE7OcCTPhfFtzBDO0IfJBKQlK1K1E00aSVjUip+UmEpKcrXkhs3GPhK41LFgIugTt0HKOI4SH8YkwjRpMqG3yw0iAhUF2PO0l4oprXo1yNxpx7lJYjrnxnExVeJGceSRR6b/77PPPth///2x22674fzzz8d+++2nuzCdkDPzJq9146STTsJrX/va9Pu6deuw8847T8l7AaSSLhfSesJNQibLch43USgBX1HPVCpWmXf0vjOW5uSEWPZVXKMVqWlz4qOjXypHy+uUkAo5WGSEpMpl3jQGkCYCxjeaKql1zhmROOB2kZOuMlTH7lgVsrAz+XxnfKM2AqXwpjjGhD6LShEytrsy8QwNCYJ6QrEH3AS4ZWEp1i7tY5tiHUZc4s5mCebdENv5DfjPZjt1qBWb/cVYYz36mPciTx5HKeMM3BhRjeAAWSgYagIADUQVtC72sRgreDBua+ex3HvsXN6ZjeW0Z1wss5I2W3DotXH5fZsbD+oEBYHz5GtJBRHII50UmZApN89Td9kkAy4IHN29yk5TBk2KUJCe/HFQApjTpMPQGPm/a8VGnzpoQapHahbOlYP2cpKMu3DatdeliTSRcJWvEGsPipQ6inZJZZYMwYnldPYC0YHU+3Q8QU3NvPJarLOySZKDWUxHQBwCHfxig1gX8iCNw5SKBlCSrc8cFIF8bQDQv5siqnDwk1Y9KjSBtBYAnc+bORyDxR3SFABaOqLIAiV2kSatOydPGm/ycCS0jCacPHK2VHApCBiNWhmwIpKCh4bjpGShcSPSWFOJdD0wTP1TFqLSadSwTUsTyX2VCNzTFfuG9eAQQdoDJxFBTT4LgIZjxK3nwYMKbv1ItjGeAFUpiwAGHDFG2s8DkHlonfoyNFwgkBhWLXUjNHDwCFgTC9zcLsP2fh0mroGjiIFrsbUaWsWSEXsebqRIRb+EGwo/BIAM0r1abjkjqA56koApl4ZGE0kSNJkBCZncAYgm4+0YxKGzmo21oiXOpcQPQFLjoN8DDUcJnUk8oTYI+jGZgJbMyfcWPvUWQghSYisLsCal4g8T5JoB4sOi15K7SI6hW81EkZU43WDyHmJubg777LMPfvrTn+I5z3kOAGD16tXYYYcd0ntuu+22TVCVbtR1jbquN/1DYKBELikDMnZFwGwOEllSJ3RDtkPl4Ce6UNFx00jS5u/UdX+1RRfl9cgUVy891zau6bgln+W0D4a0uCDjhUyegrZK2dwh9ArhTGgSkRZFlkR1yulyT4haRdBtXTyy/MuVQ9SECFoCT/YPRDlxAWDGoVbSMs8uKxsZF5Krrj8MYTgp0USvJRiHcSzVZE5O6F1hCUZcYl3oYcQVIlMq3YxiKWhJGRBY/F6ShT9FBBDWhUFS/2wIPawPPcx76e8T4bCdX58M5aildB27TsKW3JEdp16zzY0tyBL8NYRmZ1OKFy+Tt9UoU98ZhfyTNh/6Xk/ai0dKIUb8kolMvibUTssjkJuockrIVK5GR+abVhcR6TuD9t8hhSVNemzf46yUQ5RUMBlOjKlOajd4LpsgSbgApCQm7UcU4m87Vwivo5JmXlH9Tswdl9oofAyFV6M9lBoGP7J1UgVSUthNwBIBThU9fhLTQyZlIuHp+HHM/Jkq34LsRCLYLS8BgqK4ttPPQVEmST5cLrkROhJjJG+bLtufnZwTdh3JtsYpp5wiionOT5d0yMw45ZRTsOOOO6Lf7+Pggw/Gj3/841/t3mWWcsMoM9rNYdRM1bIaJ3MquC6zcmfSgNYvikPq+kW5Zn2drEPIRNJBD8k7w0ojWy8Tp1TnhHTb8Sxh78QxdmEEN2zSteC5PuJ8D80SUX1taGTyWt0uw/pYYnUY4IfDh+Kq0U64frINrp9si2tGO+DOOIflrsWIPW5ul2FrvwGOGNu6RSx3E/yiXYqrJ1thXdtLiwy3YQi/ZgPMLwSATNxzfZm86wq0ZC6RhWk0Bi0MQesWpLEgAFPocF3k+7j2iSybkCQrxxAh9rIk2pxJU6nF0K5k3a8jrrrTwjlQr5dLO0auVWkzV6VIm1u1uDcL/YGWdJoW1niQJo38jCfZvK9TNjIy7b3FeDzGVVddhR122AG77rortt9+e1x00UXp75PJBN/85jdxwAEH/Gq3ryNJqGNOFixxsF5bhswaWkFtLh2T2ivEMpezzUMjqQ2t1A3Aepcl6wNNPJIysvu7kl6jdxkh1n2WhYuSe10eYzL/zUqqKkjwLqkI4SjbRUzEukKECjIXxNpLQ8PaS3le559YF4i9UseciDAoQIqWi9hBFrRWykr7Q6rwU8Sp7RepRB9rRr9qULs2+ajUrsGaMIfbwpLEP7mp2QrrYx8eMVnlL3VDDPwYd7VzuKsVztgd7TzuaObRoxYOMdnjS6lohG2Kddi6WEimcqNY4ufNdljdLsMkKHqoVAhL8uw6JvdxRSfN7HNz4kGNoITSKfHJmNpyE/uhDDrGJEZEutljdFoGEijNyh7s1OchZYQK21ki4AjWF8a8H0rukL6irCas9CI3cIQbt2jnK+FNmI+I/RgcWEqnzqQOYmWGB1EjmcIGqnSB9jswzxQ/0dqrTc4GixJQDEOuC0cWf4Ao0k83CfDDBrFXAm1EOygRS0K5ISSExFY0FGRlm84NMqHMkqlgHY2NA+RdGnAYUn5z2kxMVizq7KpMb4IObrpKEW8Trddq4hM9qQGXJmvW4r2DdIEAjpQ5KXo+p0pdnbp5Nx4oqabbMITzsorjvio3mhYYGxk2AosbZNVdldnl1SZskwQbN8RW3dB73XtBp5SjwVF7xTQNeNm8oClAWqVzXQnvpA3SC2jQh0lgbbUvsucAP4ro3QFcddVDsGFSo180SbFzy/qlcizEaFoP5yLu3mmA7be6DD0KgpzAYVHtt0sKWBPmcGdYgnVtXxLI0pZdBH/3ghxrVaauwNwrZAJRS3kQJT8UdMs0hpBEpETQNY3Y7lsCoSRbHg6BFVvJZBZYkj7rJNyGbGUPZCRLn6nEeamr1O+IxpO0X9aKgMZSpkOIknT2e9JgcHGUSbqaICa/k6Qa6gzqzkPrlyle97rX4ZnPfCZ22WUX3HbbbTj99NOxbt06vOxlLwMR4cQTT8QZZ5yB3XffHbvvvjvOOOMMDAYDHHvssffrvgW0TONk4UbRZcULJEkRe4Dsnp1OHKtDto7FScVIatug7xFUmxIxFtAxOLI2HeVUOqIml5tS6cbG7MLMLBVpLyHjgS4yqY1wjoWWEhjFhkmaS7ivSrbCSscdXp4XdJY9IfTFMdg1ssAzdadTBMkWjGKCWWRSbu3FxBKKsihXhwuxqGBvPEgPK3tzlISu7TuEHmOrniQaYtjWSJdhAJUmIrc2y7DEj9CjCTwx5twY60IPPdfgcf3r8KPRzhhxgcVQYxwL1K7FwI2x1I8wihUcMW5ulmPn8i4s94uIcNi5vBNXj3dMVvjyCDhwwWgGQJ/kmNlR5kNCkKHYk0U2hpvfBO1BnaDAaVvtpmN+plluF2FI7PFC0YYJoxg1oLZAO1eoWgXwIx3YSp3wbLJtoyQKtVhoC99F+/8Q5wmv0yVY9g8dgpO8FD2B9OK5cRDiE3PqtZLIq0RC5NXEyA9DHqwAQSuU+GkIhaEsABJig0nUslZGKohZYVaHMKjSA+hHEa7tSJehgIkhNboasoGFC8rqopbhtedPLISk6ccBofbS42eiqiktZZnsDG2HO2QQoCJVSS7oCX6xBUcH7vnkyZK8bygPhht7myS0TJNLPxHjMPjOaqkTD5hUsyiUnByFaKnEP5Ohcq9KnY7ZTNWM02CyYEvMrX25I11tQwzIgOyeWnjZJrNMlEpWpOFYEhhd3SNEbRJIYjFvRE4j8AbhSi25JaB/p8Pi97fHIiGVKuu14ofQ9uXRaPuEL+zXwz6//ws8ur4JJUWBlLnUDqyEeTdEAGEYJGmaLCtQLxsIesOsXYBV3cQMx31BjxaGQK9GdA6Y6yXr+NSXqNJOwPo7HAlyYQRU8zUJEcQ9xLqAX5hInyIgoRa0OAKPx4KOeEnauG1BvVot/TPKQtqfB5Gl23NPTOX8nY0kJ71aVUCVjA3DcUJlEi9ISZ+pNIuYr7clzE1nLABw44034phjjsEdd9yBbbfdFvvttx++973v4aEPfSgA4A1veAOGwyFOOOGEZNT2ta997X4n1oAsbIoQppN8LYMku4RWFylEYE04uXBTZpFJgqxlHDcOiEWRy8LI5QBqJTlJfklpX6LwlLThYlxSTBH15U1QtAcAAe1Amw86BxpHOEYqudC4Rbu8h8mSUhEf2QSVqtQE0A5KQZt1gZvQGCIUCy3avihvgto8+ElMRqK26G0HUmp0E7mnRewAbaMiz050lEw3jeMXa4dQErQtEEoK2Navwwq/kHxNBq7BL9rlWIyVkFmLRbHpD3NYjDW2K9Zje78Bd5Z34/Z2KTwYy4qYGyQi4vKFh2On+m7pI0QBS90IEU5QmfFWKF3AqCil03PHhI4i0A6KdD8kBFv5nK7pSNM3Ix7UCQqTXMRiHBLZK3ZhfdeZrBXpCL3OykM185bRt30vJm6B4Zs2ZeZWcqnWNskO3nrpWF+KBCNaqUEh4jgo5ILoPiUZscGVkaUZ2ESMzUzVY5l+UiYposMEuKG6c/bkTmaSZnpdObDAhR7ehXRz5POTIdlQS93UaTmGY+6YbI2ejNhqfWO6vJeoZR+uMqmt7XtZBXSaKabz6wh+cYLIhYitrZSk27awpNKaIMbai6zbynJLSkFeopx8Q2ZgPBtbwZiBXjcZYQY7l65FNx4oqSaZ4R6QiJw86OXuud4Dyl8gKNTsCMSarHhFt8yptCrVZCxkDw9m7aiLVLLj+QFocZS7IwdtJmj9d4ybUYifSnqfIgJEhGLDBHXhUN49BDUBYUktk/uGCfzaBcRBD2FpDTAwWV7hFw8d4Ee774yGC2xfrsG2fj0GboytaRGRCctcg/9qI7apNyBWnO499oQw14Prl8L5MrOywoFQwtxeiVns9gspgVFfVDXW34f7VWqL4MeN/L9wU4olOVYxh+N+nRLG2CtAxVI465sTGanDs8mvmTOaY9fEO7H7B+A2mCRaE0El4FrJiEtxoiVAEi/juxinJgLsFDFAkBLURkZtH//4x+/x/kvPExFOOeUUnHLKKff5vs0KopzcG8Jh6kZVoqSxwx5vT9oDS2T/SanIyGZshcul5o7JWvKjamNKalIpp3SwdSIXhHKxTc+VKRTNWsIQFgqAHzPYa5JhCDkz0CvQDApZHBESZy0tzDRJaZYU2oIkJosGQI7XN0LsTwKNghDLIo3t5q5t42gsfdqWJMtILQOid3CamFMUuXa9nlAsFhi2pTb26wspPVbYvliD7492wUKssUsl3igNF1gfHRpthLgu9vDzZgVub5diMVboqR/Kcr+I29p5/PtwF9w4Wo51bR8P7d+Bnptg4MZwFPGj0c5Y1/axbbUe14+3Qc+pY65juKAkWV0cuVYX0XZ+9FqP681nljzIExTlJGgCIrCdQmUxe3L4cZDSTK+AIyU/dSS3gNzgQU3RpMYoCUPoFaJLT3bwWsfUhnOkpYugtUljnQtBNqaaogtSAkq8B6c3odYZkyKpIDArpIhcugh9IXBJrwpBR2xf/Uh8MQwytJuCRqoAqEjZ5rqKDNmcLenrC1lR+iaCJiwqoMqh2NCAJgwPGYQwEhkooKThjkIpNWykfH0E3dHfNUmLlfrMtNKgkQmoNjRCnHXiBxMqh8LUEFGdKA0ytoRLS2rs5Hx368fGOfGjII3Bio1KOoRNDK8eSKmmmYAl467Cy2q/o6QR8qo0mEvkWJPNquQ2RQhA6DzOJm1Vl9VkBOZiLt14L14rZoUfxecEUciy4tGiSYD5jSiKV2yYwN21XpAyZrhFD7d2A9A0cMxw6xckWQzz8CPxYlhRCAR9e5hHiYAIJw3JXIudi3VYVgzBpZT2xtsN4CaiRnOTQrhajagizBqfC/Mzioi1OsBayUAnNDjhYLEjlOsbuIWOUd2kEVXOpJEGh1EThp6UW1mVFrGW6zLVdbiu5Bpo+Ya927QUN57IYG1cFW1SyMpDgXqqUIhCcNZSnTnGWhmJHWUzOECS+U4LhAc8FC0wye3/T96/xVqaZWeh4DfGnP9lrbVvEZGRGZlZWa6Lyy58oW3cR3S7hXALG/q0LB54sNR0v/FgCQnJwhYS4gWrkZH9ALQEPCAhGXGzWqcPLfHSwqglzuFYAlN9ANtllwvXLSuzIjMyIvZtrfVf5pyjH8YY8/93FuDMVjmjU+eXUpGxY++11/ovc47xje/iiEamsChPGgYM7eBckGOo5ow1LI5X6DaAdBIWW4c18mmb+sIdNLfqYTkHNGcd92dF+tK2uTPadrI/AMSjGrRhRo0wUYdYRu6pypOdbFuLKcsVU5FAAR0XhICSVDUoihYpkqny5gAsYgnbR4rxAQFDgkRq/Il/bW3VAKAiKsLAfmrx7nSKkzDgQbjVlOHS1XydljK2PJrF/T28N5/iPB6qGZunM88S8CSdqdNsOIAh+MHTt/B83uEqbfG16SGG2CJQwcN4jffaU9yPe+Ow7HA99UDSz+2ImCJdWpCs19ncaLDtBz0+1gVKmAvYHC+lsdFEq7PNmr1jR+7V+ZFn1EqfjQiVtgGczEzIzHD8qA+FuahWNGAXF4jS5632YKWN+lqQzSCVrW4pulXRw0BjhQ4TcqO8FkdwfEwV97pxS8PVSlpRBSAcdUTko50wZnB2kpnxUIIrgYyLcVB9PbIgmtY+bYO6hbpqhq1Iy7J0koGBCOX3QIu5eMx3Idus55ynUm/M6nIrK0+Eek1CdYP0XCDviHlGdcIlCJpb/b26YWmyslihRubR4ohKRWWAKkEHMbKTbA2afv+D8lFKNdE2kMwgNkTtOKryponLRhlYDd2CcU7ck8RIzD6eECPWrlVbAJZMHtGuX1bGZVRKdZ1FLqjyZLeO96C7IkDJVUarHJiiqM7pVouqcVIVUhOVW7EidXoCb2Puk26b7R3fII2R/DLmEtA/2uPxH9sh3DSIB0cDoUTCGYgHVAtxAOBp2Xg0rkFHtU4ez73+RwnYvR1xf8rgwwQ6DpCbva77JQOZdSQTlOdCwwA0HWp2zJzUK2VtFudyYeeg1ALCFFFlNf7xgtFyeu58/1qZ1TaL5Nu4RiSsyh/7Ps4F+cNEwn6Hj6oaBOBhcOT8smjrMAhs6x/NBWxIBmFR2QGONKOKGSSQ5p1lG+/4uEiW3+ujlvU59EKnek0RqvXE+t/D7MiIbaSi6fAkAFJBc6PcGh2RLwgIAJAVRGUT0KyaXjc01EaPrSHUsQ4aRqmz6xVvz0EE0UIo2HkqXViIuGnFK4Q2hK58AoBNM+Pl9gYNZTzNJ8hgPJMTTBIxS8TTfAImHd30ppLzMdBN3uBZ3iFA0FAGW2KyGrAFfCI+RUMZz9MOh9LiSTqtVvrbMOJQWpyGAWOJyGJof0BtJNZqyrXFRekY9O0eg//F42NdoGiVW2pmyJpnkvsAtzpObVxgR9IETgkEjMuoo846RW8Mt3evXb/dpPFQEAwZcYSkSm3jUtDoD+v7o6wXyCtkZ5IDqOZllAqIA1IfdD7qBm7OkjcSKYA7qEVuY5XP1jRRMaJhs8x9q8S2zgU1YBFZN3/P8gGgI66iD1LugnYvYgZ2qzGUBELmu94iLu1NW5PQ+u+0GTCZaZhfHx+xeY5QWL22n38AxgvyrKS753i9cOms3tAeR6HjatwXDTK38eB/7fgDlWrOCYi9Fgtm0Q4xngUTat6KEyVXqbzi8lUxZYiPZnys4eoVXgULbpSjoZsElvRkR2vCkjMjTjY92UJy1sC+tq2bKOW8koRKzYeRTQc8ew7JBWxS27RR06xDaXGZd9hZR9eTRrufspJPL0uPl9tr/Nh3/SdcfPaADMa3hjMMuUEqjDZkTDngZu7RhYSWE5IERMpoQ0YRwu3cYcwRcw6YCyMXxv3NAa9vr3CTOvy7//m7sXm6we53D5DnV5V8S40WannXofTBkL2IvIkKWWdBuGlBw6ifMQT9f0e8mqjSZsvoqdk9TIt1/TRrYODNXq9JE/X+dMO8QpUr5ERoLUDNrt+k0wCMw/LBYfLv9FF9kmwsK9HuSVcw2iGGcsFMu5aRxvLeC1j5YM3KL8NfY10E+YgSMKS6VKQMDBTx9R4o7knja6YVEDyv8rtsfViCKl1dWSChvYuICNd9geZsjRWDYfvPDBvNWPE0o44XWUQLTEd9xV6XgqE9Nk63gsYz0+DIUjFknal6y0CAeATeuTrFb528ipM4YcwRXUi4nDYoIJMUCxiCLiTswoQH7S16zHh7voctjzjlAb1pg7NwTT7ehhGDtLgIB2wty2eWWBOde0rIRJbELGjYpgnWEEsCuEiNn6n3Q1VbffB77WNdoIRZyUm6aFsRYI6kuWdQNm6Fxc2XfjECoiTVNr1WqQJ4GCBglSAtPI2aKZAFVMwp0JU+q85dibsm8SSqM9OaQyAO1a06LyOGOvpTGuN2cKymQGs5b31orQKnrO+zdDbmqiY5qPwLz56AoUj6RS17aFrNel2+DVSPAPcQcKa5c0Nc4UNeJBpRzknG/t4R9DOKsIJIYmi8FWBCGhZWM3lErNDier3W6EwJXLsxN0xSBYTdHKwdh3S0qLREL7JK+H7/Bd6lmn/sj/2xO1LNH/7hHwawSDV/8Rd/8cPctnYNqY5S6j1AtPBC7P+lbRYeiIjKf6PKGml2HgPuJuRGXsiU7kSbsyYhA4sCxQia0jaq6slatJBZ70tkUImgTV9dZqWJKLuuFkN511ZZbjgA3PfA4biMQuyev5n76mbZ02ydncoZW2QcSoeH8QafungPW1LoeThpEKhgKC0u8xY9q2ttaw6XjIKLcMCzfAJGwWVR3waHsIfS4EG8xWvxOd5O9/A7b7yM+eRcxyorma6cnWB+5Qzv/sgG4z1FYdSbR8ATodkDD3CGjfujrAvGUrR4mJNlBzWLG60IakaSq3tWvB/pWmDTKdriI7e1db8hanes+wEtSvPCa3oRR+VG2HopDCX/r0Y27utBbA1XKijb5o5/E1YbWFUAiuiY277uXbiisLCCYxmvgLCELWZV60jk2oC5OZhzXVzyKpY6D6AS+HWcpHw8nm1UTMUQIn1uwqAckhIYYUh1/fK1Phy9ebCYhQI1wCyrBtMIxAQtttgCKt1ITj9Lsc/J5gez+Iv0TwU3XzrF//j8e0FdhiTbWzLZWFYrAUoEiYL+wRH/zSe+jh86/Sau8lY5YPEWAYKb0hthnfEsn9Si5FFzhZ5mXJYt3prvIUtEQKmJyc+Sjm6L+HjHi1KGOA/I+Yy25qMsxeYHOT7WBQpNBejtL6siwRnR6u+xkETFEmyLmfkU8AqBMVthIXuAcMdXo7q5AnDr4tKG2mF5kVA3did3deFOB1BvUifUiW4Y/iCLEdDWEKqTUYt5CZSGlrCqVMDHZNVrg9Loven8i/p6xqshH70wL9lCYpW+FRcGoBoMSRUCdf7NHaviuooYOiQLnFddIFfnMbcLKdelgmtCs/7e1bnyEVukyiUSs/THujiy7/GuTm21C5BtfGS/k62ojceEHFafAx+tVFO74JU02BZNJ0jSnGqicfW+MPMvV3cAVmzYZubXASLquuqjAjEVF1EdH2lhY98L6/BjUEM4IkgXdcEe9etOfCv3TnD7yS3Gc0ZNejV4t78UnKUCfh7qBi5B7xEmQYAYpJxwnwe8mc71XuMRDSW8Hp9bAZMwS8AjvkFPaiT1lXRfoWQAF+GAgIJTntCgoPABW56xKyMCBBMCLvMWp3zEo3iFHSU0lNDFjNyQkom3m8U1t21w88kO44/e4E9+5ndU+jxvMZaIqQT8p2cv4fn4AN3jHrw/YsncEU1mNet9siLCDfbqOYim1onK+dHYggUdq14ngUE3cy1sqm0/0VKwmHPw+2XGH+VRWgZsE62qGh9Xia5JMF5YHbHaPbj2QfH7o27sa2J95eDZs83QDVdKVTZ6U7d+TTekLA2hTFZEeS+S5U5BBKxQXQBu3FbJ8yKq8vHnhdTwz4sYJ6763uKRBBIIYFXyuA0Cu+27WNFmBYe+BzHrBVOUmXpIn9kFQfEmSwDsvpWxfQKMZxG5iQizEn+nE6rPZZi0eZ03jNtPnuK3N4/wPbt3cR6O6o1CgsvS4SpvMJeIbRgxlgazBLzWPMdnmmcYJGAvWszPJaJvZkVBS4Ob3GOWgDFH8Kj5b2s/Gcpq2uFu5nod//P2Dv+l42NdoNTxSBEAq1Rf2xQ1y2CRwdJQUExWLKLzR7JRS95y5WC4hbX+Eh0p5I6RO92sOYlyNohqMbAm6ylbfAVjum21czDckKehxWSw2MX071mpWiq8SVpIAFSRBmGd84s4JLEUU86Z0R9GnePmPq4QHJvVhgVluWtuZonDK8OjKq0D6viLLYHQAxHryCzbBui1QPaiTIvHtGvq+MyvJ2zuz0XAYgXM+rqHpYh051wBV0iZU1F0hfxEyEoRoJ2Tz6jXx0cp1SQP7AthuVccIfOAOidJdjpCoGk2fohtrH2r3IjBjN3IkAExzkQIOpKwkQ2N891CcBiBktXwjO1emcw8zIiYngkkVjjdfnKLt38MePDpp5gzo29nDFODJma8/fV7iMcz7EwVA1HpOgrQccK+tHgQgJ4SnpUewVCUYtb3XpgECF6JR7REuCmChgSfic9QQOgpoyHgzbTFV+aXwCj4VPMMPWXswgGXpcVQGpzxgAzCZd5iMAOrXAjSAnnb1lweTDOoFIz3GN/36DH++NmX8CheWqZQj6G0+Gf8R/Dvzx6o/8pNUSfZTY9ytgUOI8i4PRWN6lr9u5NlAUWfwmrkVkzi7Qia+5yI6IiNaZWifLf4fNFHRT0jITMvXiWOfgQj/iexoDj7wVXjQQV1vWVDDjiXVXO04rlA19w7qphWbQzqa9uf2czM3Aiuek8ZYu5rIudSFyUJhLxl8MwojUqFK+fFC6kmIO8abZBcXJAWdAeAqYZ07Z/PojbJttYBqHLoMFjOTmR17e6a2jwDRga3cZCKCqwRFkOSW0Y8KMLTPZ+1wEtFPa3aqBwW22dAhOmiwXg/Ypgj3ptPcJN7vNJc4xJbjEWN2B62N3gYrzGUBv/T/ntwHg54nHd4c36Ad+ZzAMB5POCd+Rz34y1u8sYQzYzWRjwAqp2Gn9cqHMmijsJUEMrddfe/dnysCxQAqDr7gmUDNempm+LQLBUuo6K8hzDmypb2UUiw0UiOZv7lfAZRLbtWxrTstlb4gFBv2jrSAJYxCsEIX1aImEbeH0Inv1YzIHF4j+qNS0bCoiRgFi2WbP/1FGSv7J2PopHdcscwSTyB0+Vu5jCrLrrZfrdW78WD0XgNHxmL3YICPfjK/Q+cpFYa0obCPqPY67hvzR2X3kgIx1JNjdzeXx9wrdRKJOXnGHRLlskBskJs5adAk2YV1SLL/s0lhjoHJ0i+W8l/lFJNaRtIs7krKwVQjdiYViqONfphBQQZshLCwg+xTlvGCRDlW0nRwD+Jmr4L8+mgcVYfDx/nbLrqSCtdUw3J/P24adnxAeO7Pv82/i+f+De4KT0+330LD8MNAOD/dv/H8Rtf/AH0T06UiGrqsNKJjnRIbPwS0dhKlsEowtjRjAmMvbSa77Fa6DIIe2mxownnnLEjxmfiATua8Y10DwAwSECDgvusFvCzdX5nznHJW30xe54B6PkMpp5KooUST7jgEXuJ2IUJA5uZ1gTwYYIcBlU0TTP4+qCutX2HcrYFTUmDCFfjGOcKAQDaTSXVurcLmmjjOkNcPDfI7wcf62y6pZgBFp7LCzhKIAQbpYOteShLAcEiS9jqZOuj2xE4Gmtro4+dHUUIc6oFu7thO4ekorRu12CjE1fk6XofFv8kf6SIUDY2ziHNAQN0jaXiZHl9v821iQhsmS+uBiqmzLT1hz3qY4UoF3O5boYElGijansPhvooAbZUVEUygTqCFCBORdWKrvY05EEVTIs3FWBFzJj0345TVfRx32rh1zfIO1WC8aTr+PlmwOvdczwez/HOfIbzcMQrzRUuwgGvx+f4RDziS/M5vnG8j6u0QUMJ76RzBAheitdoKeNL86t4pbnCVd7gXtzjKm3ruVY0bI0I2biJF78bzoIwfXAF2se+QNHNT7s1NhfOtFGuiY9BfKyBqDd2AS8kKAA56E0dhqTwm8tuPfgKipC4AsRvHADVjEyN1ZYOwaVnlT9i8ufSMqbziOmEkXpUxENRCZ1/dzcF7VVaNl0mCBQCBQNutewqotJRJXzd8QmIhEzmH8IEGNzuttEIS5cikRFuJ/2MIIQh1dGUk+JK0MJDFxclpbF7wUAVNsO9gOnUOgGb5UvQh725FbS3ZtRTxML71FQpHHXj9RucrDhDsW7sfcnDzjnxTk6IwGMGT0m7CCuatNPItVtRQp/99+J4hqrOSdptye1Bu/C+q+McOpp3Rlrsz/WDa1HioyFpoo0LuXps0O1RHWNdmlqKoidO8DR561oFJIE0nA9YFDs+RjqOphxSFPHV7TU+1T7BIA1+oH2KlghZBCdxWqDpAkgTjKMEvDue4snmFPuihOGWUk1LfZJO0VDGg3iLfemw4xEzq1kaU8GTdIab0qOhjCfhFhd8AFPBoXQ4lA6/Mb6OhhLOeMBr8QpPsv6er0wP8VpziTeapwCA/bHDg2sBHybd7E63VgwCYQSOqcED3uOVUPCVBJzyjEYKNmFeKYUK0G+1uHBEyzZHFFEV09WkvB3mKhVXVCwqOX1KCxqyLpbSvMQU9N2S8+Njnoa0oD2OoPTiOCicBSxKyBegKk5cOOAmkW4LUMysMW+CPo+2ZlbOiY1yyyZaw+MIbrg7Yi+8jNQdxTEEQ9ES804Zsqo24Zulr0cCKgXhdjKrAzIyKjTIMC4GaI5eCKGqM73Rc+t7J/S6y7KQNm95E9FezxUxceQobyJyFzCdR8R9RnM9fRsVjrK+f550/S+9xkqEca7KvngL8KB8KNoPyoEyFM5Vcy5tBjT1vb0SvHe9w23ucRaVHPvefILGPCAaSjjlCZ+KV/hfn30NOx7xevMcj+JVVdw9zSdmkX9SG4yn8w63s46AcmuNOGPZ82rxRnWdRv7gC+/HukDhMYE9hdLhwCxop1zd+PQmWToSiQsDHACQCoIIsLfRiqVtUhe00/ebcNbclNx7ro3CaOGQbKMuC3ERULdSMUOwMdeuIbeM6zcCrn9oxGuvPkfDBWMOOGkn3E4tHn/zPi7+Q4PzoaC5ngHrFmhW1Cf3EdKqBwAnXSTYvAXSiSEpTEi7gNwS4tGq8moMB8v+IS3svOJlNQyq3aUIwu2k568JSGcdqAjioJ4vaaPFWjxqwZF7xu1rEc/+cMHujWu0MaFrEqYUwSR4+uwEJ1/YoLvKCIcZPCbkbYvmaqrKHgHdQXuKhTi6+ZOPDdhCujwZlbKhS0YapVDMu8ZRIUEwmFWYwJabkccX14VqAu+kIxlHMtxnRET/3mniLph0I8xqFCYuHyZa1B7OcTBPlToyqHyTcseUDP7M2PXmm2PNjiH/PVsjeFnSb2kjSIBv3NzD1+4/xGfbd3HBEW+mghtpcTltQEkXT77ZA7mgaQNOvt7i35x8N37rlUdIKdT99nx3xJQC9kctWmLM2PUTts2MZ4cNIhecdErYa0KGCCEVRraK+LwbMBf9nK5a2MRZZ+IQXI09XtruEang8f4U8tUdmr11nMexfi7N5tEC5XE+xyAqJd5RwmXpNX8kAmXbgu+dm7S80QIF0LRo5534YcGKKKLF4ulOz20py7V27lA0ifbhCEisfCIvQsmVVrQa+6zVgh/xkdsAtFGLAW+I2A3RFrJqaVZ2DaICAHXt5oo8V4UKlsYOvHKrpuXnHYl2awedjy8cuRLNhC0VxNtJzSzN7ZrHJcU+b9tF2SeoFgggqsVUPABU8kIXIFSun/tNVc8SWpxxOeXq2eTj/uV8sI3G9WvptK3qyjCXmiHHk1k57NrFsDMZIdeT7gv0GVuNB+v+kzJoDgsnstPfMY8Rv3H1GtqQ8VK75OrclB7DrM7O39O8i4fxGr99fB2PopJkn6UTfH16CVdpg1fbK2x5xDvzGf7T4WUk7/JYQGIousmNgeVP5xoBipp/0OPjXaAcE6hrQPOsN2xcYDC3uQdMEmYFBjE0cK0a7Cyv55WxCLQbd9dXV0sQLaFOgXSm6fkzWfR9AAAzeDS317BIYCkTqAtIO+AHP/MWfvLl/4gH4RaBCj7XPMGTvMP/tflJvPu7nwAADVUiwBUvxTqU5nbS0DNXDTm7fFLoEYEQRkJzW8DGOK/oQhfVfC4XhMPy4RXNWG4iEOn5mhNK3yB3wcZiAIpyC3wmGoaEvGkx3ic8+Mxz/J8//W/RUNbqWwIep3P8y90fwle/+OnF2IkIPCR9yH02befZY9ArD2h13jXUziR8JrWWwJrNAi0Meco2RloWcUVNFnZ883wCwurif9RH22gn4db1Ji1ELpBhUFt1P4oALAu5kqhujt+mAlrl71RZct/pyGhYihMQWZGUQNzriEdkKWCcA+HFEpO6r0JBPTd5uikJoyixLrkc8zibg22DsJ/w4LdGnL4VMZ2cowSgOVrRLztss2ALIPUm5w/AbQRObgSpJ+xbXeQODeqGEo9q/vfO6aIGcZTOC3CegRKBr91/GQAQBuDeU/PTcVt5V9MERuq1wHk8n+O0O+Jh2KMx9Ob5tAV73eybmWgBRykDh1QLHrjBml+TNGtBM826ubjCxwnPQB3BkRek9j18e1jUUzFoQUWk48HhI7hH/2sHAzRLJX96XpaOa61Ja7luwHAuxtr/BNZRB1QumwRDgWUpfJyb4dyVGnXhye+VK2LjeldL2s+4Tbz06k/lqHYlrgL6PXWsDL2+LnjIi72+kDbGAFBYXw/W/NGYwUMCnbQ2PgfIfKncWoKnDJ4sy8ccZF1BJNsG7EuWL30ilaLgjbA+0xFSursIXDEUz/hPlLI2OQzNXgs6xmRowODL7Q1eijdVGXfBB3Rma99QrqPVp/kEh9KiYyWbD9JgLBFn8YgMRsPGqcrLNdI1a7nWlKH+WgKUD1Fcf6wLFCoFdJxsJk8QWAVJReHlDKAUq8ZXmyAzdN4BIHIlnAJQK+OiP+++Dy6jdEhQ7esVqnQFihA0d4PNknlK4DFVCLNmK+jkCGfNgJfjNU75iE/FK3wybnBTZry6vca7AJrrWd1ee63Cc4xorid4wmqxbIh4M5qbbkA4JrCZB4Uxr9Q9Gu/tFuLxMFdNfoUCifR8GoJB9tnLaY/5rK2uhnmnhK0wlroolC4g9TqyutgccT/c4kG8xcNwU+Wh97s9fq/FsuhsmkWJ4oVHXpIuNfwwK8xbXOqMWoBJG0HHGS4zRyCIbSJO0qvXjsjg16DXJDvZ7sXNeMTGNxDrnrMWKuoaa3wEXr0/31B9Y3P1R7EOiuxPt6r3ww3C2EiaYjJWW9g94E6c/wAs6KLd8076VFUGsG1mPIzXaCjhRginPCMXwmBZOqVrwCfb+jrN1YDmObBt1DWVD8oTURmtjUfdRI8sit7gbZ7Vv6j08Y6SwTvJ+PyAsmlMWWMEyCHVdWF+6cScPw1dS/Zst00N9AN0ER1SRM+z8WT0Ppwl4N3DKXhCdSlV3pvZ1hOB+k7P4a7XRuQ4LjwKZkWkQkBNjAbuOsGKVNkxzekuvyQZ50i4Xls+DC/UqK1uOLJqaAC4zQMVWSJHmLRAE3v260ZvbtlEd0ny+n/1JatrsP09jHlxlC4rCwEn37tHkpPBvSGyl/X1x/l8Go9BC+8E9vXIkIj6fbUptY3XFY2lYVAjtt4q8ZrnDJqzmtMxaaaaKZWqdLmInpdkBZAVcBSoNlmq5gLW8mL3epImoHRNbdYQsCieAinCJ6J7RdTRbL+Z8KDb46XuFlue8HJzradRbcBxkA5fnl+qROUn6QyMgkNpwRDcj/t6XV5qbvHp7l28M1/gt8MjeGpxnVwYO0GDH7EAB8WoCh/w+I6v0B9lZL2YmZV0Dcquq9bU1T5+zloRG2QmTdAk01R0czMzMk8UhhcWxxnhetAq1k5usYKFZPUG3LgqFfCgHVKF5BqN2VbZ2F1JGhVgKgFbGnFhQWmzZLwWj/a5gLw18pwx3MOYq5Ga2zO7rbd+0RaGNoDnjHA76WZseS550+gibx2jZvwU8O1U4WIJytOgbLPWXju56r7oD5ijemk1Ais6PjttdL75erjCozDi9XiNnmakEipaVVrtPEprHAgfwcnCC5JOSZ1kGxTZCK2ctEvAYc4q84SN1AD7zPpwl01TX9fHgHnbWPQ514CwF3GQSOWb1MNzePrO/DAMUXI0ZO3m6vLjGHSzI1ISbKsprDgO2rXPSUcE47R08J4y3Xc6xnHbfCtmqqrIRz7HEXQYbIwJU98IdqT31iSsvA+bRUunBQDMkpwPE/j2iHB5QHh2Wz+uOD8m5/rM8ZyVbJoz4rM9wtMb8PUB4ekt4tM9mneuEW5H3QCGGTRM4JsB4WZAuB3Bx1lHOFc3oOfXiFdHtM+OiO/d6r8P+p5l2ymyBHtWbZM85QE3ZYPH6RyDZZeMOVR1gjSmEklZpdw5q+19r/k9NRhtNjh+02mB58WehTYiWvftZnx+LziCEgOQEmSaIPsDaH9cCqqc7943H/Hh6wBs7LIuTO6gEtC1rDRsBolyd/30sc0K+QZQiw4n5/vfi+fVuKxZrFuXpQDheTW+9w2bF0Xi8vNY0DCgKgOdb1Jac201KbPvE9rwmXzY/F+qkoeVN+MZUbqfKJrLKxSG5qz7CVFd33xj97iQ0oR6vrwQ8ky46qnl/wVrWvuonJWi40jfE/199k3Cp7fv4aXmBq+2lwgouCk9bvIGl1m9Tr5w+DTeTWdmf3+KQ+nQUMb9uMd52IPtAr4Ub/DZ5ok2KiEv5mvWDFahiL135wt6k/xBjz8QBOWjiqxHZK2i3dtkLlp8iIV8jRnYNDriGCxoLAR15LNuikvSBdUgQ5nJTMW4jg+KdWbSBO3CnXXe2Pgo6cLOQ0Iz5gqFI8qS5XM7gqYEthybSErWbahgS4KCgse5w1QCpDorLh2KsJFAh1R5KZoptIywihUeYUigKdWCTGwMpdLd93XXsE1dUM+d6/1zHxH3s6prohKG8yaiuTEIN6p9vzP2eSb0IeF7mnfR2PCxp1xVHlSAeMwI+6kuxo6YwGVxpjCqSdTR56pa17u9PYqgnPQ6t/XRQ8OgSUBSUIJaxvvYiEW0YPQiiIEPZWn4HT7ELc0Bvdf6tnJQPBSvwrVAlbHqBlXqa6z5CfXouyVrR6R6Z0hQpMpNwwDUEYIvIErQnSDJqsltD08RplEXIiYxnsYRrwTGeznj3XSKMUWEEfZ9BNm2et+laZHXuhrJN4fVok6wLnKYl7yhUdEWVREFIFgh6mZYQcdkWmC1cC8KxAg5HsG3gxYFm1abExsR6pi3U9VeH5C2wEV/RM8TTvmIfenQouCUB5x3A/YNFNEZA+hgBR8AxAgE+2yDLKgXUd24yLlCXVOv5518Jdts6+cB9PzEqP4zPpYrspjsNS8Q/BaH8pcCwAuUxfisGPATFm+mSmrFknNjRFTnyOVeYz3cV8qPiogymU0ALXJh8B30oO4FItWM04uhMGoqenWztaKASHSy6aN5thDapE1fiapArMKKzpKKBy3WXIhBUYsXTkpMp2zeU4Z4lyYg7GfISWvIjFEGWhcd6L4gQWNQhAhouQbeUhO02WwDMCRFGHzM1tr6NiSkbVxeP+nIEwA+2b6Hb04P8HJ3jS+Pr2AuEYEKgBZZGFdpg5fiLQ6lVSIsQ7koPCMLo5WM67JBoIKneYfrslGjNlqubSUQZ2jRpwCNqqsEd9eq3+f4A7nLP6rI+tIwChmRrEi9UI5ewLpq2OYLRq1OedRNnER/zgmiZdvcIQ+uTWZozoiDJcU694EIHl7lv3sZWSi8S0aWFbOOLxFIwsjm6xAAZHP0m7IGoxXjTLiM19EKnlLNSZFNaxkWmtWhN7s99FtNcHWjoHCYF+7HYWGxU04ojZK13JDIP0Pcz6r+2G70Acm6seWOq3rGIVM1rwOGHPGNdA+P4hVQgC1lJWHlCDbfgFpEbs2F1OaWzuCnXJSfYqMraYIlzYpKyn2BK8WgZqkIEgyt8msHoCIwAIBR/y5tvCNl/ciPIppfwwb/Thrs+P6HV+WJrFLYgxEPvON2w7BgcuMpVfWPIyMYJ9Aw6d9jAKZiCONCuNWFVb10akHQqIJEAMhuo7/XyIgtZ0s3FRyKnkS3zC4NULYNwlWuTQEss4aubiHzfHdzNZ8cAIogTVTPifQR2NPqGVvympQjtRS6KoW2kI+2UY8YEZTTDfJJh+lsCY9z1M9VfsP9iPGe4KV+jwZLvPz9MOOy3KINGRKtYL45qH+MFFDTaNEBLaCULKvmeO4ATHt7T4bgFSO6uhGfy7zRt1qodQF8dQDdHu4iZqRtqbjNfXlx/CkfzVQXVwLgG6hI5WRg1pEFxaBodBbAzqM4eZJ9LaVKiNewV/tdRoKvisWWFxsC6GtyKfXn0yZa8av3iI8lw2gcDiOSshNyofc0D6qa4f1owaoFYT/qvXjaoWwCwpgU2SbzSnFpdR3/lwWxcBPM2dQ4sKJNxBBc/dylb4yXkpf3UrKNnIwwm7jaQeQzLWzC0fYukXo9wAQ6JKSzHrlhhFJ05GUTwhgyWsr4ru49nPIR5+GI57IDU6mqnD/WfwuzBLyXTlBAmr8TjnjAe2QQdjTjd+eXcSgdHqdzvDXdw+3U6fm2vXIt867I1VyqqvWFG7V9ZJH1SYAGFSoD21gCCvW5lI0nRR0qzDTMuDPCJcI6T6YYq98RGYYVQ3YzVUZ9LlWmeYcvYMiEGue40iQbqUs9Ta7GjbpqQvBS2OB5GaoE071I6txTjHvh8mXnEQC1Y3SUh49KPNXZPsyThHWuaUhJ2TT2a9g2SRt/eSFHVEdDOioroE47TbJCD0JVMlhMZi0RiFzQ04xTmtFTwZfne3iSz/S0RKjU8IbVEKwU0Gwo1bZBMZOlcJx1w7Fr4w+9viE7xzaOc1ndYoilbra6yJnSxzlEDrO38YVC5ABAhyNwsdFzUJREWUcBgBYwrrRJ052ChHJZ/Ezs/zV8kBb+SVDOQkVFDgOqFHHTaVGyP4JEbe6lECiwjiq8q/fDu3ZuUaJKf5/lE7OqD9Uhdsoq7y8NIwQCDlPl+4iNMmiNAHmS75x0Q3e/lr5RFKczf5b9sY4dayqzFQZ3CMJMd1Cp9MZLePy/OcHhNUE6sZ/PBBSttMKREUaVR559/1P87+/9Dg7S4Wbe4GG8Rhb1YBlTBM/Kf0Bg0G4Dt6Gv6E02ro/FakB0c6pciHECYtRHx66NjKMWlp2iZ0rG1D/R2Odz1Y8pVhYVx4vjoNRcq1bHUmHSOLx1Lpo2NBY4OhlK0LCNYdwpVV/Hs8eENYsrbRi8+niq/NFlJ20CGh8TrAt6ArIZPerr0zKmAaqSMfcBTJrVFmZz4TZCvTdESJaaHXRt5DmjOdjoJ3AtKDQzp9TPK8GUTaa2VIQ5GecuqighFZQTRTfSVvenwIq8ODfFuYvaNFMdwedO0fXmOpn7s4UVruJAwFpstZM+JzTOoG2D0gEPNgdNO+YZ+9LhQdBxq2ftDBLx9nwPh9JiyxP+UP8WWiPLPi079SEKBzxJup6/3jzHSRhw1g14s1t50BjXhwzp53QXDfswx3e8QPkoI+udQaMzPB3NOBJCc0YYrJBIRfkqflg3cqeoEC1M6oLqcBVQx0GuytHcAU8Iths38vKzhgoA9j0soEl/ho3P0cWESQLeyRsEOmIWoKcZW/OScNiQknUcgS0wD0CZIVtFT8jmnBK1ynaGOcTs9x0Bqhuf8wwInBLcr8KLGWeJ1/Pk3WoSgPUh5lkQb1eupDaHzp2gD2qFvOOC+xzxrOwxI4BJ6uiq9FGt9bOAUloQL1oSpqWL5i1RIBQs4C7AfQfqgmKEWFX+6D1BYwFJgQTl3DgBtV7+DzED/QM7iBYyZRO1aAhBxykpv48omYGWl+TckhUZGYGa3RMYdJwhpYBiVA6IISDVNOz2UIm2smmruRONaeG0JB2dUC4qe/V7gRk424Ay0IYMRsGjcEAG4cbssQMXSLZ7N5WqPpEQwIdhccYNxrdgI36a6kjN5FpFglIGXx9rqq+MIyj3lQhMpSzW/yJAXBVWIpBth/0nNrj9kSN+/Ht/B9+7fQezBHQ84zb36HjGVdriNmtT8MnuGR41l5r8yrPO5yViXzrs5xbNjaJzsu1tFONkbkMzT7cLj2SagasbRbNbLTpFRHOUAtfCm7puGWUli+TwxPOUIClr8eLutKUAbaOk4MMf+B36XzyoiEVNLJsOZ0FuWBPSW79ndNMMaRmL+PdSgqIkpOsAj2pOWIR1U/JxUFyZodkoqESCdEuafPVTsfWjGk6WAHSrcZCnG5MmJrvbuJNwa/jrJuiYsuHF+8pJqlaA5c1SINfxVoCiylNB7gloY7XWL5EhuwZxb4ZqY0KzGokpKZcQbufV+lyQdo2i03NB3KfqMyJMoJtZc0J7vRe7Z0flt+w6hCdXKBcnWjy1rKh9YXzx8Bpe7y5x0e9xKAE9TZihxon3+RZfH1/Cu/MpfnD7TTyKVziUrsqR99LizXyCq7TFeTzgMm8xl4jbqUM4MOK4SKldKRVM3r2OL/Gi8YMc3/EC5SONrAdWLOawyEhXG5AXGeTwm3UhawkqTQlhpqUQsM7VTXbqA1DdaFc/K1KRF//dpQkK5dlMEIAuaAW1kjxrBhQwHudzZBBeCwd8rnmOXZzqg6hz7HqS4PCB9LaZz+VOJ0WBzX/FNgGUO/k7+j6skCLrFqKnK2ebKxcUYqBrFhWT3VCcBCJlQZrasARwZUEY9PscLpylINh7dnKVmiqFRYZmfBMek9ngi42mWh0R1PNn2Q5GtnPPBSWRQTemSMvcOaNyjLRttRNZyqLkeJEHU73PcHs0zoGpcHxsYwnBzknxWAYAyrEYRoCtICm64ZNvZl4A+TiISc2/Dsd6P5Sz7ZJ+LLI4lYYAYQFtN0pUNv+U0gakjS50l3mLp6VDsfN6mbdgEqSNdXxz0hHkRr1AyCzlMS6ul+9XsqxHNs4bga8NXvwfB1CMSjR1QqkXBXYoKpOROsLJ6YA/fPJNfL57Wy30w0LSfVZ6zKJL4CQBMwJ6mvEw7HFTWjzLWwzSYNdM2Pek3LLbZOuHjsLk8hrYbTUFeqvmbFSUAwNgQbJ220XCbSRnzz2qPCFmyJxAR+t+Tzo11zNjPeUHjeA5obxAozZ//pzw7517KGrD7rEYhRZDMw8Q9L+7gs4Jt+8n11Z+S6EKQgkTmpsZEgkphMpf8ZBCR1crei5SN0h/zdwz3IVavVmMk7Qa24shGjzMtXnyotr5dj5q0hFzqSOivDUeSBbMG11j2INYA+m/u2K0KDdO0Wc3nDOUyQwn3T8FDSPeqLeLG+GVbQtKBe2V+lXx1V6RyOMMDCPo0EC2HSgJ4h741vUZTpoR37d9G29OD+64Oc8SMOQGp2HAaRiw4xFvzg8wS8CWRwQqmCWiRcY2qInbu+kMXx/u42ZslQtqhRNPGWlrzTypNQavEJQwf/AG8Q+cafUHGVlfnVadOJlFK/I5m8IHiyzQ0BV3O3RplxAQ9pPKXpNJWxvozdiq/FJIixMek7628Td4NFtkD3NzZ0UR29xNNpmUZFoVMQXYBE1jfRBuccoTbiSip4yxKEoghGryox4mGfNZBKUFqVmjJXo+yp0/ASvghBcPi5VvgLK7TdXTcPVF0UIMtrFLdWrkhAXhsO6mwCDPpLPi27nTyloCXgsHDNLhMu8w5Wiw7rL4wFRHHvLFk+bHlGZR+fCYwMOMvLPUV59TG6SPrA6UABSuLcovoVGdHNEAEILAR1dZeRZdi7JZIWgf9eEb2XGAGCGW0NaOGiKQk43eP9ve+DZFERBAlTeWLqw+MFk3+HVooGXwICz8FWqMn+HePl6UsNqtSxNRtp0Wqv6sHAbt4k3iyyR4lk/w5vwAbzRPcSgdHjVX2DYzbiPqWIOmhHCc7hJ8AcgwalifE4Gtq5WTTZWFO8kbYo6vNpZC2OrmOEyLOsMXPEt/lg2q19GmnfG59jECBA+DyiRng14HaTBLxJZH9FTQSsbDsMcsjMlsCHY84rQd8Ha/jCTUldkKIy9EioAub5Q34tk8q3A/KrJweUxuvM5GcgJpPdwj5TjqdXRXWis8aX5xRijOE4HHTfjXzG27Pt9moqayV6o8szpet2/Ttc4UfWSvZUUNiaPSvEia3dfEvKgAqYZgJVrURvvtDYijJ6W1+3ql4PHxXK2GXKFpBVQRGJfC+CWGEq5VKaqMXEzr1udGGHWktM71cdUQjQm0clitMvXsol/93DzMoJkrT9AVqgBqKrk3HZSyNv9FfYOIC75r+ww3pccpD2go4eV4U5PAL/MOgWYEKvjK+DLOo8J0GVwTwh/jHA1lLegl4CwOaKNbU0hV8Kwl6D6icz+cO9L03+f4A1+hPbL+1VdfvRNZ74dH1v/oj/7oh35tiTbWMWfXCk3buEei8kaK8VIqmhEXqa0XGT4uUCnuivkNO8FtqAssuVW1y8SmVB8aR15Kpx4O4TDVzdIXoDADx6yBZqc8YUdJE1chtSP19+Ax5TRnxNsJ1YiIaSGReuCcdwQGtohLz2xcwmPSByQw0kmzdPAKtujisJa/jUoWU5tqm+f6eCv6jLnUogUAphKx4xEZjCfGqelpRh/VsySMUqWelFU+zRZzXvpmKTambN2Mjm7Cflw2IhhkSsvi/m0H84rrYO87lQq5Us4V/XmhR9+pV4ZJfmXTLaO1VMCe5SKymLABWpj499qYwU3HXF4MXjgeMPKrbHs9L9NceUboWiNeKiJHNtKs58x+H2XtBIsQHsYbnPIRRRgXfERPMxiCMNkMPWkSsnf+ftQRFJHJc1sLMlR3V35+q662AGjQz1D6FuVks7jjJh9xmaR4mJbXbyxzyKD3jaWvvhZvsJeIt/MpnuUtDqXBBR9xyke0yLjMW0wS8DifYDBURQMMZ0QuSv7tQi3kaFKyL51stYjqbRQzDHquU9Zz7MWF80hcvTSafHi06+CfZ9SgwDtyb+PcSBMXJVB8cQigkMlqfZ8xcnv1MBJFMyrPhF3iq6qYal7p39c4T25Bwf11ayGR1WtEFTGLyodWa7T/rryxwNb37260vFdX9xTn6znHbb2W2HWjcUY46hruTaH6NMky1rc9xIsDMVdbR8w5Kz9QDdw0Sd6JsG5K6dwT5VKtrq8rvBpdC3nK4IOr2BwhZZTTXpuzYQI2vXLUUkE4zAiDYM5aUDSU8dCydYzph558ND+qci1qYvhshci+tIqaJjVte5LOsOMR2zDdQcepSJVgV2sNQ49KQzXG4IMe33EE5aOMrKcpA7HRDY+o8kycj6FQmWm0mRcVjnuamCQ4bxpIyzof9vwEmwG6hrs6Jm7V60GjpAvIU5TtKNb1eVFBwwzpYjWaUq4KcDltcF16NJTQcMFBIi54AtNqrJJsY2I171GIUm/cMGTNbymCkGbdOAIhh1CdEJune+STzpCCWO3elduyqGU0e4i1OLBNyTkikoxBf1iR/8iN0FgRDCvu8kZw0ox4mk/QkxYkh9Kh5wmtZT4I+7XQjTC3DGk1B4h8DQ8EOmYlyzog0DWWiyF30C9XQajfQFYEhU16bLwWGo1A7RyPaH44eIFOsskMBTfdYrw2J2CyBdJHIUaWVfKojXtyXngn43RHNlz5Ru5A6pvcpq/+HHeIpSvysKMvPjZ1ebFyYBrbQJYitECVaINEPM0nSMLwyARPLK0qFxEIZQ0otA2Xxnk1Ui3qojtNoGRI2NkWdJzVbyQE5SWNqY6IZBgXm3mTbfOt8lZK14AEGFKsZHQAuCkbbGnElkfMErCjGac847qoc6/mAyUMpcHX0j08SWd4vD9DmACaVoTYbPwod+AV0evjxUhRzglgI20vpj0UcLupmUj1MJJvJTYPkxq1NaYszCul1wssUBTtQUViAVT/p3jI1cSs+hu51DW5nTvfcaCtVvU2EoJAGx5Tb/nvdGsF5zlwNrUP2QYY1ECyNOosDCFtQrxhMwSw8u1QqqKIcjGUx4JNfUQ+i6lzoIRmGyWRISpwfoUrPYuoIScbQdR9V6xA8+KO3eofQDXi82fGFD5kBqNehJUugjkDo65zpYmKjL/PRRtzgpzt7IcUeeUMpBQsEXzGRThglojH8wVOwxFnPKCnGXuTFz+KV9iXVpOmrfsswpgRcJt7zCXiYX+NuYQqMwb0fsidcQPN2gLQMVwxPlH5EPYO3/EC5aOMrAdprgJl8xnJ2rF5ESGRgSnpwyALFFc32VKAqYAjIweremdlbXsHK/2SpxAMVYC7mmbz2UCocl8f/VAqyNsWIUvd9J2Mmlud4z9OF+hpxhvxgDELfm++h44zPGDN8330QdENOO7194TjXMcwYu8VWyuCfDE866vCJncBQFs7AIlKSGMjFDMA2MaUTtQIrXl+VAXFS1sIqYeJREbqGHHIFaXR17MHXwgtZXy+fQ4G8KU5oAFwEiek3iLQxbgu5ktCY7bPIggHHbdVHxsA6Fg9ZJwMmwWIsvjVFFFbfpPqUs4oTaMkNWf1r+KYlYvEa+rQR3/Yxl95F9Yx12RjcyclI5ESoO+5a0CjbnRue+7W1gD0z/cVIDRat1+kjlpcAURFINbl+zjizkFUM4FUWqrXmFGw5RGnPKGnjOtyjU2cURrU7qnKZD17BqhjGMA2jOMIOR6B7VY/m/MzrPuTZskZkk27KGeSFugyz0BobbRi5meGoKaO0JHg3XxqhVSzdIqUMBh5mwE8CHvclB5nNKKjDKZSpdNjDuBJN6Sy29jmkW3jXamLitTPhlKUU0QrZVHO1bLeG48q+fbzztb5l6KEWSItUtwRGID0LYRenA9KHa9YIaKuxHgfqmI8Osgdkr4reSonhc3y3vgkyJqb5TYGQlzHKEKagyPr3+GO12CgcTIskBrWpGNBJb86f8SN1zgtQZnBkXdXYbn3FZEWx22s2UKV9Fns8wrAOS+FhPtCjVlDVy2SA4AKBKZsfDpHyz0EsSz5PlgVtcZ9lE20wgqqm2NanGX9/KVi41hH39SkM/UAc8FcQuWcAMCzrIXMGQ/IIFzlHW7KBhfhgJYyzsI1ACALI5BgXzowBA0nHEqHDFVNwpSTfn5q7EBYAmzJzjt9iIX3O36Xf6SR9Q0jJKuqu0Y9R/LyMLjShsYM2TSQVqptNopU+elde/VS7fClFht6sStzGzBCFINKNClzhhRBOm2BEvTGBJDP+4rwgGDkSOCkGfEoXuJB2IMBNFTwerzGPllxFaxjc3jcblYeVP+u5K2lIKpKGxLA5G08qKsqbW0uaQiIKn+Uae1utxUpGubKqJcm2OaE2rk4QSyRegGU1jxaMhBGQqRilThjZ5Ljy7LFu8MJmltC3NtIzCFsJ8oGMkh/6eCrjb1L+YwnhEjVjZbmvCh8DJ3xrqESa72QARQCNYkyNS+wRGkbINtKa5wYhLiMA+ZknyvWMQ1VvpAltc5JxySNjkggspBGHf2Awt6wkYScbO/Y4UvgxX3WbdZ905VY5cxoFsJ3pIJABUNpUGjEKQsCFezn1nJyihJ1Y6jjUJo0XVmMN0NZx3oyz6C2RXlwphDxtrPPkyFdQOkbgC7AV3vQYVRJ9Lar8QDu21LHSLaYA03lJQAw59sJ5+EGgQSz+RA1AJ6UDjdGmG1ob99fcD/c4l0+0xeo3IhSpbRoos74XU68iiKQptV/O4w1FLByEvy9esSBv38fAbmBW9SRTh0j9C1oUOk2HY/fwZvxwx15ExBt4/dRDSWBG9J7+jmAhW9AhLRtUFpGPKZKkqcilj8jNYsncwAFWXxrkijNL2sX7rbwAOqYhYyTUcfok/ObYO7YVigVfSZKQ8hJpcdhyhWd4Vm/L9yOOjpfB6gCCIepcl/E1lk1ZJPq4hotFT4c5uq/BeE6ntcRl41qfRQfCZy08Akpgw+p8nJq/EjQ/YCPc13H6n1PXF3A/T6VVpH7dNKoqgga3XAoLX5jeAP3wy0exhtkYbw130M2RPQmbfEwXuNBuMVr4QYHiXgz3cdl2mIsDbZhxHk44jJv8Wp7iYv+iCdRr1/eBD2Hs6LjjqKoxb2Oe8r/P5Fk/yAPJVFl0CQ2026Qm4UAVTkWgSop0BnZhAJZMbkVNrQChxd+gxroGDRnVvNCOudUR9msN5IVHx7Kp0ob47hU2bG977L4hWQQTjngpgiemaFZGGFhfDZ66TRnJ+5HXbDFu1TUbrlYwB7LYgokRDrfbVkR/CkjbxqV4g0GrzcBbt2sh9nLuxnSpq03GrsaaDX3rV0GAAjwZDjBW+keLviIt+dTg9fdg0IfxrzrUG36a0cTEJwY6aOHlf23SvisK3DJn6FK0kYNHDNiI5sRW83/CEHRlrwsmtoR/QHclB/mcCWPES3J04xTNrVNVjKpG6ytPE6EG92sJkUNvZOXjZHJjSdBq4BBcaTFZsN1NOR8ilVxUsdEOSv3wQpgmoE2JI1fLy0ehD0aImRh7KcW8aAbeTnttTgeTG2SshZYjY7ZaJx14z47QT7f4vD6Vn8t6+bR7HOdWcdDg+04g26PdbwhkdXDx/Nt5gQyZAiAEgqz4GboUMC4HwZkIZSVLNp9h3qeccoDLvPWAtIiZok6poRmDx3Y+F3DVNGqcn6igME8q2+J+2KIme8lQ1hE1NOliTaeWwjDtRhx5CyG5d+L8RnM9M0JxeIo0Qs6hFAFCl6chLFUCJ8gOvptNbfLQ0Ulalp5CYzAUpGImstjHTdNpUqSw1QqV8y5dzU3jRy+WNnim3mkW/FXUq5I/d2U9e/azRdg1r9LCIoeNwwq7oJsvKwEvd8MnfPPxyOAEFC2jhYuo576vLJxAd0g1NdtmD0EAIbuW9FiOnQkhKrg4SnXaI688yZWfyYcZ/AwKS8FQL5/gnAzqCFmUp5fcxtxfbXBs2mHV9srNV3jCRdhj0Ea3OQNJgl40NziTdzHV8eX8WB7i4NEXJZN5Z58b/ctvD3fwxkf8anmCb42P0Q00xqe9V6oytmq0LIxoBWc1cX3Axwf6wKlEqNs9uVBfx4zTWHpdrSLtoXNlCBg0n1wRcSqc1PbJCVjIVZ6Z98oQuLMcjKSpwBVTlWasLi4jooaSAlAURnwlAMO0gEZuArPqxb9pBkrs7va5A8WmLbrdH67H1FOuvoAVoKw/8xoC1ujSEM4GvxfZ7DKqOeckaNHfBe9qdk4OSYV5LkgTAW5ZRTh1eLkRYLCp6knFH1ukC1A7pyv8Ky0eJp3GHKjTrJWaITjrOeka2rORDrrzdVxNlgWd8hiQoSya6ppnX6mpYip6ItdE3ehrdJiI7LxrAQzpg9eyX+nDy0ePTtHFEUxMzYEXpJtXT5ryIN6leTFf8Oj1m3UU113q0Q8LKhME1WRY8V8RZuO44KcNBGYZh0jbDvw7aDPxjAiHAI4bcAkNQRyloCDSW4DF6QIvS/nvJB1jcALGOqDJWeqnGwwPNzg2ecj9p9K6F86oG9njHPENEXkqxanX27QXm0R56SIyURLMbImQzNZ4GJA2UQl5AG4zj2eZeWYTAi4zFu0lLEvHQZp8PnwLTRUVKWQTlHAmCRgIj23Y4rw4NG66TSx8nlEBOTjGuOosBccfm/aNXRnXQALehJCjTlALijbXjf+41jRMDcFq7EFuf2DuTE/wBGmArRGmyDWMY2tKcr/CGoR3ywIiBNWqahBmaf4Vifaot97x4W1mMGXr+GtrVPu5k3+8z7iWLggzj/U0aR+qYQFxWpu0iKoKIYqy4x80lakpTSsCcdpGbXMF3ofcdbCqWwisMFSkHoTFBlyYvlMJiHWxPtSrR2qxwpglhE6jk33NkqGnXM1CwVgqlJarCPWjW/K4GlGeuVckZVcwLdHiOyA01YReRYwiXqehCNmCfji8IkqJVZeSsB78ymeTCc4CQOKMK7yBu/NJyhCeKN5hm/NF8hg7EuHLx9fwTE1kCAgIcQh615hfi2lU34Zzxp9kD8EQRb4mBcoOnrgRRXCvKQ/wtaGyoA2OeZKL+8GQEJQGM277KCufWyyY1gV7qOVqh6ZzHHQOxomFCbwrEVPkRV58TgBuQHbwjKViKE0uN+oL8NDTvhKavHO4QwSgLQNCEOBJH0OJaq/AI8JnvBbyYzJCrFAagRkvBLNz8Ey83O+R7C5sQVVZYsH93TZvI21+qUpId4IykVnFver17M1AuaH4GGBO56wJaAnxrOi8+FX+ht8+UyMPGZdZRu1uPKFCKhcGwlB7fih6gm3nxbwQpT1QjTrrLtmE/W+GRaA9TNrsCDqZqGM+xeo4glhKZybqKODFSkQ7qlhHiRwNMRGLvWecxKrHTQl0I3KA2Xb6zhlWDwzym6j93QRYFbljCQdH90xLjR1gGy6apdP265uNDse8bn2HZzyDA+QbbggEWoCsf5CAaRUIzM6DEp29Ws3Z+Sesf/uGX/mj3wBn9k8wY71/d7kDb42PMB/zz+CB19sEa9aCFS2vDZKK+cn4MNg48doBGi9N896XXjXx45H3JQNvjS8iqfzDl9tHqLjGc/nHc7jEVkYXx/uowjjJnV4+90LvHRj9gVNBFrjX2xa0GHUYqlZjeecC+MjMx+72fhGgLtGerKMO1zN5NJsvYft9RtVaIiNzF7UwVMBRQH7yIoUNakOs4GqN4nb36tdA5A2qpIsVGkZeohUxFNfZLFkqGGChhznTayNUf3xsBr/mBmmk2K9SABgKI928c2w4mvBxudzRrqncndVEhJyH+2zLDYHdf2gFWoUFEGncVY0vzPBQgEQtTgrm1hH6ap4idb0lRrBQckLpAA0qLYYAGqzDOi5Km2AuP1CE9U7ClAPoSYinfdIvSJZ/cmIT/TP0VDCk3SKLU+YJYCpIIOruOE69QgkuErahDSU8VJzi45nbHlERwmH0uKqbNWFNgdQIeRmcRBWjo+NfXquBSknAQ4fXJzwsS5QSgxg9yGpM3XSeZyNPcJxroF6nrng0uTKxIYVH6CaJRGO8x0yGOCQXajfC9iGYKoRIUtGho524n5W4mjD4BggfVTVSlCjNja+Rk+EJ1lJs2O2MDE3H/JDdP4JoEqhgyMZRjoV5oWpbjJgyrlCqIBV4ZYdRG2osCtPWSFBP7etjbyGGaWLCCZfdufGtItVpqcnAigB6ENCQwmXxkEBUFngnHXG64UiedcgUosOd7YFc3UEVjm1fTbL+ajuscwqXc1SR1YK1zLQinKBGNqhrYLW6rV9UUcMWtgdRkXfjLMBAJgTyratgXiVVAno9wHVD6UqfUpRsiugYYFGzKRpBt0eNPzv4gzUmKmbcydKUUO23tRpLg3OGXR7VGVK0ARe6dTVsuWEh/FazZ1Ek40P0qGLCbfdMoqrvBhAC6FqIDfdyR4KUwFiQccJbzRPseMRe0tRzT2huzegxM1CKh4mUNso0uDkYCu6aDB0rCghPRV9L+c84qp0aKHk7i+Pr+CXv/hHga/udOMzJUneCITNBn9Q75+zS6B/vngEuWmXEEHOt+DVJqchosp5quMbP1LWlOkQ7hYvwLJROqHUFD7V0p+04KmF6QsMC9SRMS2bNlBHxCRaoHjGkpp3cQ2RE/MsWSs84JYOxlOo31uVQFBEJBc1gbMfq9yQgjsFew0kBKsSku09AcvvBu64f2OV+VUCK/m2FFCBqh9tTXGbBrZ1CRDwJDYyMkfuXVcJ6IC+d0qoa5m/ZypZx0Yto1DQfCBzM3fF5CKj1s/NY16QYFcuZlnGnsYxlCZoonFrUSYMNDHjPB7wWvMcb8/3qklhT3MNA7wIB3xu8y6+dHhUeWajRJMm36CljFeaK3xjeoCTMOD17hK/3T4CChBmqec4TKWecz983Oa5Qx/k+FgXKH5ja7GxaNkdBmPnYdimXR1kk2j2gVXZLnmTyDoiSQsxySO2EYDSNPUG4qTQm4RQVT0AFvLWnEFJyUy5CTaeoTq7TcJWnGScUIMbmlTiFTIoq1xP57YqI1skwmKLpH9e6wzaWJEhR1rAem54mCFki2oTdKTio6e5VEdaD+sLx1RlcoAhqZNCk+6gGIa8zIzLcmMWqIpnlIDRwgULGGOxGPBGu5lgZFmfPXtH7blA+oO6aPs5VSO3lf30Sua4GNCVOyZJcE5RRC16fOwj7QefhX7Hj3EyiqYdpigDALrZIxxHLRRS1uLBOvTSRvAwaaKuhQQCGeCg4yApi3U+qaxYTrY2wizAcNAN0AudTa/Fh4/D+nbJOEoF0pk0eyWRn0pEFsZpmHDKGU9yi4fhGrs44T1HqJoAOd3VMQgdx0WBcxxrQYQYkDtGux1xEkZNTqVc+R9vywXmMSIeDHXb9guS1ASUbQ9+fr2MkXIGzYS861BaIGd9zl6LhMOc8SSrWvALV9+F5j+e4JV/O6pc1TyHAEUvOaU6GhUmJUMOqxiAUhCulFBbpbCHQX+/FyUmCfdQUWQb+/hYyomxHj/RKY/FERTx0MFprqM5AEvR8oKOEgiNZwdVQYI2GsWShclQURN4VK6fEAEWYAfBYmVfvTSsycxiI3T92TDmim6Tbdxi3BJghZR7PRMUzVZLflTCtIbZuRM1QzItI53I4ED1/a8lzigAGi0gec5K6DdH70U1hxqHwjPVsTvs/SyWuFLfL89Z2zebBniicQ2d5aVAc38isbRlYUPXAgHt+8a7JltW9EXX0xgyAgQX4YBBGlzmHU7pCEYxywBGQwnf138TV3mjxUmJYBLci3tchAMYRf1PeNIkZJ5RhEB5xQ2ComzS66gP1oBW7uKHcPH+eBcoYkGABavAJNOzW/otABvdlDuZPZWYBbpjfV5Jn7aJu0MigNo5kcnTyq6pD6bPQcOQFulXG1XCO5iM010jBZhyNPtgxigJGYSLcECgojwNL3gMsfAEYJhHSb3ZgeqcyOY3QMaa9gRMoFmNRKyIMlMhmoueH4NSKRUwtBDw2SeNM1giZGKkXUTaBdswUKFUNYlb3tMgsaZfvhavsAmzKn2OuXYBKKwqh765c9Oug6VUuo264AEFpWlAKAuLvRIO9bqwLF2Yj7oc9ve0Y2kjhF4cTO4mVT7WqS6x7v7IRo4kUlQjZUinvgTV/dVt8YvopnXvTEcIfQtMM3ilwFEpuvJCFkv2YgTpBvmkrV4WuWPzk1DJazxmlEBIu4C0E7SccFm2+Cw9xyzAU5MmPhu2iIPUawFgKbK6ppqWyThpLR0Ype/qvb4NI1oUXLAaFwYI/m36LMoxAlDuRiWpzrOew8iQ3UaLHjehc8WcHYM0uCkZAYxTPuJJPsP11KO5AdrLsa4T4WoPCYzYteovs+3q/UUWbumjFljRICmpO+/ZTj1R/DM2EehaHa+JaOEyaGAgmFS66jyWIkC2a9k2kJu9XncA1YHXUTRX+bzIgwk06oZTpcUiihKQLAZldov7CLiqewrqvaZNImpzWZGOLHfWQGA1Woatj2uEQVTWvLbYUIWMyly9+ARDaQDRRlMBy4jZvsamAFpHo/C04r3Z61Rem5HdKzLt65dAx8uBkHtakOOqvKFapLgooICXfY25GoRSypUnub4OgDUDje5PYcXBA3BH4u1bRouMB+EWs6if0VAaPM0bjKXBDW/wKF5hyxNu8uIN1FCuSPi+dDoSTTuUogT5O9eGlTC7Llhqw0ioth0f5PhYFyjhmMAFi4rE/RegGxsn7d4898GzXpCkypMJ0E3LukOf4S0W7MuCS7w4ytJcwH6DEFkBAPXjsIUknW9AfUS1uxcs6hsotBYgeDMzLkuPQAWvb6/wjZ1exDAbt4RVjUOjGVgF9Yhw2bOzu0lQYT990PLyWQgIOddgQb+f+KCdetk0kBirxNqTVcXm/WsLayFC6gM4C8Ix63yXAMrAIbV4a74HNMCWRwwScZ8HM/MxiHVWNRE1AXHOyIYuOZlYE+eUrOubuPqBFIBCleZxESPmhboweOQBebosr+4PeCejIz/BC17ogQrl1s2v77RQsdGFBHUuxTAqGrKxgLltr512CACLES11oaveKt7t58kQo0Y3cfPqKM0WVAqGR1s8+0MN5lOgtIK0E9Ac0ewJuRUIqyKqRKD7zDU+v3sHLWV8eX6AnmYcROMNjrMSocmfLR/lWFijdK1ubu4VYmmxzb5guurw7nSGx90ZLoupaooqexAFaRfQWqYQpQQxBIL2gxYMVgiVkw08HyseBfsUccYDDkbcRgGeALhoj/j6CZB3DcL1VE3pdPOfzDQvLMWg30NORE5Zr4H71AxqmFfHWHNaOvBxiRwQ457otTXfGaaF/yNS4wjAXEdhLpkHsyJl5cUV19WO3s5LvYeBRc7LpOMcwZ0cFi9OSDRcUEfZC8riAYOc1IStohlmXqa/3wsL1N+h/BBttHJnG6apNL1hA3AnWqDaOBifLziixVxRZi2cGBKlcv2kCxC2ZPvsw/5ihZquY7DiXxtl6DjdmicfL1NGHXOqFD+BRUfw4WbQpsNiXHwEr+PqqM1oXo2WfH0u5vI9KA9GR/r6DnMhZJA1jhN2PGKSYJEPoSrb3k738K3pHJ/snlVZsv67lgtfHR+iCOEkjDgNAxrOKFGQOyMkR4ZYo1zCYr5XG/kPoUD7WBcoEkkj5oGlOPELnpUw52gJAJX+ApXb4PO7alHsRxaLRdcb3jXvJKb4mRKEXeNdFqdI7+iKFiuVDOopyORQqP6aWSImMB7P5+hpxuvhCqfNoL9TdFQjjW7qcUUs9ZsQrDNJmrNWzkC9+R0irJbxkXViYt2Ax4WXk04XDXMhLH28OzYxJZA0rBLqWbkupSNgAtjPr6EpUw7VEAsAtjzjWe5xk4xg+b5zULbtoqzygrEAHnMOYDEkYvt6KihdQN42yxjKodeVvBoAYJksFT0qijipJPQ7eTd+yGOcdLP1jcn9SABziQ3LvQzoSMa8NGRONuaY4eoc7cobyDRXdYJse5XfjjNkmrTIiTY68M0vBhxeiTj8yBE/9Mk38YntJV5tr/Ct6RyPhzPcbw/YsHKfxtLgte4Sf2T7NTwK17gsG2QQ7odbZGHEkDE3WN6zb6Zdqzk0DsPvNnUkI12jHhB7xu/evoxtmNAZMe+UBzyZTkC3Ztpmzy+sIShRwxFhfjAolucU2Z497eif5hO8Em6xZcFb0mFfOlzPvW4oBeBhso7ZIHuTvqo82zx1Ipszrz3n5uFTunZx9/UNbpWnBJN5e2q1F1LkPjcxVN6PbDp9H44wuU+Kj4iMh1LlyC/o8FA7snGIotGAmCFZRU9WpmgA0Bw1Pwktg2ZVlJQGCzlW7BGfSlXg6O+z8UdDiu5NykURMkWREWZzH+roOYzlDoqWNl4Uqn8TiienK+8N5o2UT7o63lmjIVVRuZ9QAqNsPA9H0RY33SttsERlW1w8jsRoBxIZPCTz3lrUhT7KljYajynUPUPDBNnqHzIKwox80qk6Zs5qspkFdJwgmxb5YqtcmTGDOnPrJdEmoLnATemrzB4ATnnAp9r3sCUllf/I7mtoKONxOsdL8RqvN8+xowlvpXs4DQPenU7xQ7uvozXlqUQxCbfdA7Iy4INfSnu2VvXq73d8rAuU0kbk2CvfQgR8a2qFaAoQXipmtXR3XwEL8moA6Vhnj3OumzQdzWDH/DN89OFqHh1PoLrJAlJvMuVkQFNcYVB3h2+rGpmKhjTlLQ6lQxsyvpYe4PFwpl2oVfyc1BjNDdV0FqqBeiUwQnbTM6rpvzxkzJsG6JRVXuHUBHWgFdX85xPlATTPj+BjunO+EBYJW+6jegg0yhdwm+bSEnIJ1r0AEtTq/o3mKb67ucbX0xaXpcdlVrZ3hWNX6I5n+3hWEIjMm8A8Ajw4cKW40vOqxlAKvZZaLKLAvGCidjp+DeALJmlSaN/UAuiFHDEAsamOrnUE4E6wYSkgnGvim5wwa7HRtXD3UhqmhZDpHdlxeR6o2VbJMh1HoG+to49IPfDSvRv8ty/9Jj7bvqvF5Q54Wna4yRuchqMWC+kMDSU8DDc45blmcFyWHqd8RMMFM2kBGGauRZfEFRJhIwsaJ7UObwLamxmnX93gC5vP4P+z/SSIBFIIUgh0E3HxRUb39GBNhcmruwZ8nGsOjztn+mfL2xapJ3Qxa/cHxrPC6n4paigYRiWz102ftQipRnZeUPVtLfRqoeBjxWzhk8xA8c8odbSGTn+2yuG9uLQoAoQAxKLnJy2bciXFjkoIJkCLntiZsutFjif1zxIX5Kdy1uzfKnrbBZRoBQNQN35HUcK0CkkkGIpaVuIELXDm04Aw2nrUOfKy4rq4gW9rLtcACuu6VyLVNdB/hscZpW8UHSwCnhgYZ0UK14hs8TVHX6Pc67WAGrNyZGJQg0+TJVeDzpPOvKZsTxBDQ4sauqloIyDsp8q3KZtG19rjjHzaW94OFn5NXPYBWiNuw8Llk11vaKyqkHKnQggJgAjhG8f7eL17jlM+4rPtu2AU3BQNsXwYrnFTNrgpPXrWMNvPtY/xIOyRQfjK9DLenO+joYw3+md4Odwgg9CHWZGjSWoxSkH5isXS59ck8g9zfLwLFOvqvYColtIrC2FyMlcpoDEZ29lISFAiUTgaYXNKlatQCUesm6RX27JtUaK5+Lk3QZU85rr5O2M7nXaINzrnzmedzSyBNmQMooGBf6T/Jp7lHo/zOS7Hjc5kI4EPGiwVxlVIlTlZhtsJbCFbPCaE67FW8RXuE104ohn41ORYkTpD9c/qXgM1EdgUMjTO4C4ibWykM2jWBc/LjaaMe4AyIXJBSxlfnO7h5XCLvTS4zFukYnbhVmGvuxNyS39DtmAwoGcCeQdSf9+cwUNaEC47pzSjLgjI+lqljXUODtbFh2cN2yryAiGUItUtFkC1hZdpUuO2IrVz9vuakimyGlJUIhjZt28WNQtQc2KqvNVfw4sdokpalSYgd4TTbsSDeGuSQ9L5NE1AgCJ7ZvseULClpEizECbD3W/KRovQYsiXOVlibur7lk2rz6AI5DCAuhZ0YEQRvPQbhNM3GzWgM2i/uc4oTUY8TAhXRy3ibGOWE0Nh3BvEF3FHC7uA0mj+yGXeIkAwSMAFHzCEBm1IkGDI4bbT92XSYGnNct8LPpHFz0WkBi160KG/DwB1w6Y5QUQ3X6qS4bQgStse7qKsI5sCwIjDfl/mrP/vUQHRkM2+BcoiHf+oD56LckmI6qh4Ga2ToVFckZaKmqai0uRVI6T5ZFSJsFU+7PsvU+WRoBY0WLJsChSJnAsCdOyfTeVYoq6HVARhyIvVPZb1nQwtEwLQNYqkQJsmt0DgrKaeMAQdgN53iaufD4DaZOWT1t7XMiqibMrQ44T0YKfvyQL/aiHmCcx+3rbNwo+xfxcm8JCRd+2ClHa2fvv6OSdEQ2ZUDKIFCgB8cvMMAcXkwwk9zWhJ96Kn+QSDNPj69BJ6UjXmj25/D0/yrvqlNKRE2y2PeDef4jLv8GzcgWcgTIJ4zDVcVkd1qA1ssXsj/C/HSbYAhdTlD1jgtECrrn4h5JCHsllKr2+EEgj5fKP251Oq2RLVU0UEedeqdj0bp8UQE1eGOMxIGXWD94o5nyjZrrQBactIG9HkVyqYJJix2YTLMmMbvSM0AlXSiG4ek2bUdGr0piQqG60U6CLGphYiKGfFKntnrKMs58PVNzyv5qpEYEnqNeLwagiLaqjAXHeVnU1kC4XA5Ht6njMIT/MZAKCA8cnmGU6aEaXVDkfdcKVazsts82UilejN5iUAWBijVAgU2QhkAErbQjpeuihHusy5EBn1e33k46TqtX31CztIibDVxGyw4sQ9NXzhM6dUsMG8ItX0i3IBhtlMy6xQyfOycdZMDivmig2E7fdreBuwixMmCTWl1OHfB+EWWwt6dM7UDEYRqvk2RRiDaBwfFSwoQFmcVNXXAzYGDSAn6s4JNCe0w4z2sY18LIrCnTERzADNyaFMSrzdxrvk0VyqH4nzB7atejesjws+YBcnpN74EGvPFlOzVV7ZNANHtav30RSlrEGFnW4gWjCsrpUVK7SSEq8zlirCZU1Hvd5u3980Sipuoo6wnODsvKQXKDEGoIUBWTNgxUccFXHK26gFIstCKvU6z9ZEV1YCWCTFNspwPxiphYNtaoNUA8r1jMAbMax8jSgVUzVSXRu8CIqHXJFumBih2uU7V2ZKKmw438Ddnt3mQApbM6cZbe714u+pdFH9T7IAHOEhiU4hkG5R/qwtMYClGEsn6hZeEZk7CLCrEAV8mKolgyKwaowoTKCbETjb6Uh/LuBJEZSOE/7j/g0cc4P/7fnvYZaA50nzeM7DEYNEzEWnDxmEr8wv4Tr3NbtnyxOCXdBD6VCErDEhwFjRVWFl18IVVGzqrQ+z8n6sC5R4O4HYOkmGepMUhd8A6Ia8bYx8pXbD7pnC5kZIVoiwG1XxstHppke1w6+s7iIm47XFP1l3tGnVo8QUQrAHjbLcmYdSoQqPP8lnFl42Y186XE0b2H5QDYpk19xhSYNw12G1YZSzTWWSh8MEmgvSuVrKezCXE74oqz1y6ZtqQpQ2oXYllfwlRaWmJ61Bn+reWVq1iCZBhTqpaLU8pAb70uFhuEbPM4o5e3Wc1ETXXp9GdYstXaM/vwrrUqmcAA1qCrQE1myuVHSRMAY/zaV2KTxly3GZ69irWuEzgTyGIBBK39wx0nshR0rVz6Ta3jvvwImlMQA3e+2kuhbV7MvIg5h1dFlD6qwAuJNwnM1a3pU/XuAE1g0lAMfU4J35At/VPsEFH3A/3NZF6XHe4YIH9JRxWXpAUCXyD+mAZ6VHQNEQwdn4XWuFlaFglQzMDbAzX5PjqKiRjzwAUOTqAUPHcWkyYlgKullNtdBELVz8XFmWlo8bNs2MWSIGCcggXJdeVT1zp4aK7oPhoyfjgLAjG2s+zaowoJOtXqM5Qfquvoa62cbqgVJRFi8wRKrcGp7hw4yy7VXSPWctSpgh7cphNoZF+rryfXoRR4m0hG/aWsf2zCpfzTZ+XyuzE0NZRw4MYFWgrP1LSh8QXI7sv8IbCm9SrAHTTA9AoeKF17YuSnTGsyLSrgP5DIElWUbE0mqBxV5wrMY91fzN0CDn4NTfbT8Tjnkh55NUXp2QOiDrCNAsA5wH440jL41jLdqseYT5u8DNSZ0HmdIS4+EKsd4ceaeMOGTwrA7fDWWMOaLlhCtT7jwezzGWiIvmgCKEszjglXCFDE18fhSvcBYGvDXfw7emCwDAJ9pneJJO8Xze4ZgaJdf3ZM1zsfihZXRXR/PeUH/A42NdoOgsz2BRZ2rbqEIXFiVb0ZRq1SzuAumGXmv3zBVUVytcg83Y/p2KIiSli8s8LRAktovqxEYrPGYEMVImefy2ZiwcUoMGGZ9vv4UMwrsGrzGJOR3azZ/1tXKvcL2nY5aNurDGvUHePs4S5b+UyIj7uQZOaTFGdVbsn5HHrO6GeN8iUArKtgWNWQue0mA608q+Ek4Fd9wcS6PcmtaglB1NAAG/Nz/EWCIk2jl134eGLCepLLHhbMWX+XK4NC/cTubDEpBMYbVcNyxdil17JwovkLsWUvNuo+ThOYO9OHgRRzGX4OOokH8dz4WluHXSZhFQ26iM1RAJSpqMW1FBt6qv97DxHJiWYmfbK7fFN9WU1etDdIP9rvYJPts8BQDMll4KqIz47dKhoYQsjJYyXosjRgG2BAQ64stTg3GO6ATVQ4WvbpeR0mFU2a7JmwHov8WgzpIxAoOOF8M414XWEQ0liDdL0OBB1TviQYcWyIfieVH63m/HDs/yDltKuJEGgbRwcVWZP5t+SAyLS2vOlZwsfh7t3i3bHrw/6riHVrb7QOXdeLDfkg+kzxxZcrT0bUVc+DBAJlf1GCHXbApqUnW2ImeFCr+oo6Ina38LGy2HyTZLUtdW9zZxtR+wrCGw1/G8FgCLJb3APE/s35x8yQsHpapGbFwmvMR+rJMs3NG2BsN6/W6FUd401XxNE+A7SMtIvX6jc2g0UNaeMeMk1nPgthRFFMVtLeOMTKHoRU8fakPYXE82Li8AKTpOs61lXrR4cWIIiwAIe1loCD6+3naVAuDhqZSKeV0JkhBG0ULkXnPAliec8oAtTzhYTkkW86wCKlJSwJpmjILbrKjJrh9xKB2u0wZDMsfvhpaG2AGDVWOuH+bD3Wcf6wKlohMeRU4E6VjDnwAN8AKqjNjDkyQamgK7gNNCinP1Sy1A7OK7/KzO1n1+DABEyNsVKdYP+53s708EYQgAR9xrjwikLpw9ZbRBLe8bzhXyrJ8zEmgwz4omqM30aH4rbmLmM2CGWkEb7OgVtwcAupEQmGuVzmtimpGx1BJRwMOE0qsVfve8YD5p9ByTzX0Hm/kSoTRSQxBbm1VOYIPUR1BakeXcd2ZKOrZiQriddERlttReHLr80AmIBNiDYO62k56LsmmUMOZSO5vL8n40KL5ZuvGsxd8LO4hAfacbkn3OCt0z68K9afUz7jbLz4kAw6gISrOMh2rgnEc6+IhIBAQdNdA4a6e+621s4PcU0MWEi3DAw1CwL4IrYexFFy3PptnyiADRxNPCeBAEJ9SgkRkX4YBNO2NurKh3kukwqlHcMNWxkzCDD4N+nBhA2+3yGYoAJYGidY1WpPimXUcojhIRgfaW7GvjMQGsaVBzqi1PKCDsKKHlA/alw/NxqyTZqWixI4Jysl18TNybBqhGdnQYVT3x0rkS7kvRkY2PsJjVgM/zjupIeV6QspTqyEdi0LFRymZxr//mLrLkhZbnJVWeyyJVfjEHLT5D2bp9s2DwZ46Mh5INyRRb06ozK7QQ0efaXkvUQ8WlqdUgzZE4XsYgbq+PQKrocdoKQ/1YilS5O4BlbBSsGKqFhSwNjaz4Hp0iJ2sUQEMRsy6NbUAl+Lt3FrQQ4zmDxozctkYStRH2qNxHt54XJgQvMkg/F9lYn6y5qGh81kWwIle1geZatKkC0xRQNXNuNUISwlwCTqKmEavh2ohHdAVAixMA+M3jJ3AoHZgWAu1QGswSsQ0T5qJclNNwROQMEUVO3DU9lFyvE2AjNN8WFcT/wMfHukChIuCjqhdK32o3PpYlKC5oVc8wqem4uDyuTXacEe1oikuKK/FrFcpEtlFWDTtQHwJhgrTBWOFulFMM1VEIOcwFPGuHui8dHvABPWWccsZeRpXeBVMHFYBYVuZruc5lCdAb2AIJ2aruWtjwCo6UZcbqn5tFNIvHIwLaiNw21vUYdspUCwkln2oWj1uDA0AN2poFPBJu5w4ZhIfG/H48n2OQBk+GE8QjVhI+c5y0QkeJsyubelZVEhkjfVFPoMr11iZEZUVuFoSFl2NqADHXR05GfotcR18v4pC+g/RbvZduj9ZZG4dinIGkRNRKkHSDsOOo2Rtm6qUjhhZi5mJgVnOwEBZfjk6N25zvIVElueROk6L29bMEPMmMp2WDMxrxgI94knU+rcV0wY4nvBIm7IjRUYOGAg5lwr50yIUVzh9Uho+zHejqtprHueIGMajHgxOBrXipGz9Q5fKlCQjP94sLq8H5NRqASB1rD4OlCivCAuvQmQQBSvw9pYRCGS1ldCEBAsSrI3AcgI2aUiFw5fhUx1YjM1MukGkCH0bIpkU53YEGLVro5rCMgMyYzmXjUgroWICSKxnaibdi52NZSxiwRGq6tQwhv/dDWFRRfi5fyCG1OKnO1u54CtwdR/vfBWrlTlSbIWLzOoGvL1SfyRJ0HMJlIViq4+zye2ojA10v368Q4SwoTCYeUGQ6rHgq1Y6enEtjz0PUBoHyQuTXNOFSG9Q7oabBlKGixVq4toJ32yBMZcn8Ymg+2lzQ3Gpic2kY2DSL14tgIcayxiYITFo8z6o2qpwr9UAhN5NzD65SQDPgap7Scg1ubDjjkFvcUI8tj3iWTsAkOOMjHsZrXPAR+9LiKu8wlgZPRDN7ihAOpcXLzTWKMPalxVAabHlCH5MiZY78J7a/L47e/mdpF8PSD3J8rAsUIaobE7mePYtWj5ZXcCcBcjXCcSLtEvyUzbTNIMSGgGYxa/NRCU36tNURUVzBjUx11ulkXADKsoZuotnImtfTBoM0VQUxCFUlhDKfoTdi1iIFgBZYgJF4uWrzaVYTH5qS+besSlQmXQSctFSkoi5509SHtLRhMS6qPhB6I5WNduV5Y+fSN3ZSUli9HgHYxgmXeYe3kPEg7GslftKM1eCpQpPAcu6nhdgmlmlBkaFsLS3OqgzcCM51dm3zXLfeLm2sZNjSBGDTLEQ9QlVbvciDSlkM1bwznuYqLZbdRmW4kxYrTgxF2wDnJ7qAD7OhSQS+vFnGAw6Be/CcjydsHEKjqVCYAN5CGDhvBgQI9rJcz7fSGZ7kM1yEPR6Fa+xFk6n30uKMNDSspwlv5y3emc9xfehxngH3wpA2Vp8Scp5I19YCW5pocmPWtOT3jLexVYSHRlN9OPpg9yYZedaLADoMkGEAneyQ7+3AQ0IYEnjWAENAbEPtiwAAwPVJREFUG4LfmF/GGQ/IUA4Yib1GNLUTA5iKpjjfHJeFVGRxw8W2XqdyuoHsej2Xs416zEgPpajXjSs0Tra1cKzkZkdGROq4iw6DetmcGKpkRGc53ywomfuivKCjuZkRPIWc3bwScGKnOlrr+kxOzCaAx2KS1wXVYMAUKFi8ogpslCHVddTRDLY1io17pqNw2LqsqAyj1M2++kKxJiTTZGNPNmJE1gaSjKQvbUTpF+mwBwSSqQKdPA0htbsHAFpUnpTFPLIywu1Ys+I8SkJjE7Ldn1z5MSVy9U7xkbyiMYqSOyIpQakNTjkAgJox5wq0cYVWergtAcwFV2mDm7nH5zffwkU44HE6x01uMZYGGYzHuEABY8sjvjo+RCD1nGEqYCr4/u4tXJceh9LhW3mLsUQQCWDj+yVmRAvRxffKic9A6v6XYnXPVHNwaNKFXrpQCZLZxzj2vRqcZAqfZA97HxejNreVBu5wKxy21H8wOM3Y/zRrLo9EC9DyqrwAlLMGNtnGWkmvpBv5y+EGAYIneYProhVtZHOkdamey/BSQEhFmdvFgq3sovtSdYcP0gXEvXbfxUZa4agVv4cl6lzTiHiwmzzyEgDo3YUv1EZ4A7DI53xW7IsQCXY86k1OCafhiADBJsyQaC6PWRAHdfWESbHDcV5cF91IzcYQNOda5IGoqjy8i/MH0JEXsnGcBF3YShdVPj1rqrGTql8k0VD2R6BT4qVcnGpBexiqF4b0nX6OwUikgCJ9Impj7+TJaQauR2Cz0c3fE3ZHNR8Dk0p6+043Y5cm+oY4Z4QReDru8Didm821OgAXi1T/T8Mr6Hm2KPYTNJRxLx5QQLgX9ziUFv/h+g2MxwacoQ6yc4Kc75ZCcp6BdlPHP+VEN/bq3xJMAp2S2vH35vdBtGz4bojlkD+ROrjuD6CTHYpt6jpu1GtchPCo0Xyf1+Ml9tKix4yWM0oDzKct+KrXYs7WAJqSFhebrrpzQpS3IzZmktsD2MZXsu2tcbCxpamNqgswoIVU0Y4Y2brlqKorORyBUUD+Wv553fvGwkgpAbIJNRPohR3ehNUCgSrHIwxJR8wkd1AV9z4BAAqoz6ymshsvqAu18BAQSqdEWJ6XmA5hAIUAXw68VzIExa30a+d+xxoeqPb65kTtthKcSk0f9pTiKo8PDCFRNMe9kyJD+mgqlQIR5bGE/Yxy2iFvI+KNKTJtXOhusGXb1LFuvY9FEZ7UB1BpdIS/KopcuOFjnNIG8JhUeep7mRfZgBYrJ5uqJOVJMGVV3+3iiEfNJQDgKm2VDB+Ar48v4aXmBp/v3sa/O3wGt7nDS80tDqVFFkbPM35rfB23ucd78wmuU4+bucfVsQcfGHHAoqg0x3RFzAllXVB/iNr6412gFFmyVswgTW9kreDUctjHG2VR4fiYxEmwRipy5KP4OGAyX5PKOCfjcDCqUtPJecCdTAVpCJKDvTYDs2rk5SyiNMAmzLgfDjilhEEYGYQAQaRcNes0F4RJkYPSMigFfcYG7SDjldnd+6bsVfeKB+MW/a78qYx0gwVdcVE6dd11HwAPmgKg83xDhzyfxVGUGrHeksqBAbw5PcAbrZItXw9XeFrUB6VEAATV/7MHDyaEwbgmY4J05mRrNzYlQ6BsFFRHWllNgcgXubJ64I2hv1ay1HtkUtULTYL8ArtQTCOEW0UYrENHLkBKkHkGO1oyzaC21VA/9/tgvjMvp7NTHQ0F9a2pnh2Bqn2+nws6DMA+L2F0Nr+/mdWu3lOK96UDo+BLh0f4l29+L64fnyJe6+gsb7RjUtm6AEFAI+Pk6wG7N/d1lEMH81rZ9so5KZp8K+zdYNAMG7sONCfNwNltUHadcrdso3AJMMCQs93yWXIB3TuvPBH/3ACAAsyFsaURPWU0VNBIwaE0OGlGZOPXo4k6hhkm5eRsWzAZYpVTLUrIs40ARThsdCqAIifrMY2PibyYmmZDjOYF4SSVmRNgSGDQsU7baMHmHfI01xEX+efmF1eglD4gt7GOk0sgsHuNdGFZG0UtGYqhJm7YJs5h0cup6qW0ZLc44ZWSFx6oXijO91CPJCCTmkdiE1Q9IzCEQ4sQ56v4+3E7BWGAkiHrNioOg9xFpsxjSNdeQaEILva5dGpU11QhWkzaNrEG/vGYjNhsLrM2snKH8tKEZcMuQNynSnzlQQt02TSqOjQ0KV6nlfuurXtMNWbBlW2qqNKiL0wAs+BRe41RIv7fV9+HDMar7RW2YcRV2uJQWrzU3OBxOscsQf+NJ9yPt9jxWE3dxtLgs/27+MLNpxA5I4YCaczqPqjbr5vTZbvXvbFVPuUHv3c/1gUKpwykpQJdy9VQBOE4LosWrHhxqVYXUEJTCxhpApjMF8JuhFK4wnsw7oLbMHsOTuU6EFVvlGIBd8pdAeLVqDexpVDyDOxziyd5hybc4IILZkx4kneYivucFC2wUgFaVdtQViIoH+eFG2K5OuQscfusNZ8nFb05oklK7eF22VzNyXBIVIqOoYQR8lw/o8+IhYDcM3AsVcqpUs0AyqqJ3/KIN+IzBBJkUa+Mm9SBJyA42TeaHHrMkI2GBUrXLDJkKJRJoq6iYCNejgAa5wxpYGMJWrAEu8aITuJTV91q6BUYaCP4oKMV6V+gGoJYSbLAkrvj3hdOMC1FuRGl6LnxkY8VxdV8zcmUc1oUKMHJt2mldLGC0wzc6DgiNAGcdohU0FCuBm0H6fA0neBLN6/g+MULvPofBdt31E+kNLrppA2DxBbnUdBeHtB882lFOCgvv7MmGbtq5fpodvFsYZ72eaORRJNJbfsGsFGW+8GIIxtOJDTuR7ja67PfRNCm0ZFjM9exzmVpsSMN5gQAymZVcHW7FBgu3bSFXkpZuA0mC/autJJ0V+621QwxBr1edm29uJHAVYnluTziMQe5QFJWCTap9wsloPJPAmsRlRIQXhz6VwKB3meCBujzOO+i2s9n1PE4onfT+vM+uqBiBUyjIwQqosUGsNzTAFze6z/jLrM1VNV4Gz46AqBJxb6mQTNhUGgZ8/vpYzeb0waIRBG0sm21eHeip90D0rCqjER9bNRBnEGQOr4WBnJUMYP+0GI3UYyoL52OhXwj5ylDinJKAC3aJC97F0+2/ndBFUepgG/nah8ga1I19H4L+0mVrn2j/JCir3Uv7nHILY454jwccBEO6GnGs3SCQ2mx4xEdz+hJPYQuwh6zRHxlehlFGN/dPcYgDT7RP8d16vF74SVFrRIqhyhMhoSZk6xYNVsi3VFs/X7Hx7pAqUm8gSCkXQulUslL6rMAlPNtHRewKXrKiqijqhmqihuRUNnTCvvq2MGRiXVxULaNeaJg2QSBlSfJoN8fls4CAFJhzBIRSPCsBNwYjMZkUmabyUrUEVS8nao7qjRBiYhdqNyXfNIiHLRzzX3Uh34uVZ6btxHhoD4MedNoR+IPWBYlWI0zyq5TbouhRzRn8BggodHkZ39QIwFZpdQSSBetAkQu+Fz32AiXEaeW4/J02ClJ1gqicJi0YKzvFTUjJ22UqxNGHWlxFpVOe1EIGC9FZ8rExpy3/6p5nn2fbBoj5QIgQj7rlX+EF0c0pE1/Z3xG5qlRvT6MpyCBl/wWNxKzrp2SKn9oGHUk4R0UsPA21p34OC2EW1lcV4WAJuTK6n8lHPFWuoervMUxNYh7Qv9sRvPsuBDQW7PrtgJEr4UVWpsOruTQLwjKaa+Ftb/vqj6SpcFwNQwAHudF1RQYYs2CpAQaNbdGtj6aSYtyzzkf5iQbqWAvLZqSq5ssACRhhNE2HpMWS9dqcbMflGNyvlN5d7KShsrCC5rmJfTQlD+KDllhlggIZji4MXn1ON9V/9m58XwlAFq0Wn4PsvFY/Ou2AVHbAuFFStB0fSoBy3jXjRIN4mfj9wELCgLo9wsBudXIDCW/6uiGyoLIko1wawGxQrI5G6mebHOfS1UBCZMqcJxwysZtKVLduck3fW/U/N4LpPLgOQFijsZzWcaKYiMls3Ooja/f5tbEhVnHRZVr4ypS4734KB0AuKz4VY4o2b+VbbvsQ6moACRwDYSFZ0AV43jYvSmeBVVKNXMr0cHFork7/Xs4lBY9z+h5xiO+wkU4YJKAm9zjfrjFRThUy4gneYt3pzPca/Z4lk9wmbd4tb0EcIE25GW0ZH8qV0cUMSM9Vy4n/zDY3wtsIb8DxwrioimB9yM8ABBA7eRqxd0oefaO9wFbYXKYl+ra3Ep50M4on7RIJ03tCLTL138rbVBJ8qiLSt41d7gg9bA5Is/64DEJGAVP8gZbyrjgET3POuKJxloPXOVuuVd3v7UDqlq+z8rfKIK8VcxaHVpz5ZsIAeGwQIcSqXYqfJyXaAA3KZoWeBBiDribUK2jw6jxAB5U5TyZ0giKEN6e72HLMx6GIx5yQoOM02a0YLDFCbZa2IteK56SzmrHjLhXomN9TzcD+DjrNSlSOUBhP2mh5cogK+Igej7yaVe7lOfPv4L/+Xf+Ef6Hf/dL+NVf/6t4773fuXOJRAR/9a/+Vbz22mvYbDb4sR/7MfzWb/3Wne8ZxxF/4S/8Bbz00kvY7Xb403/6T+Ob3/zmh793bQO6w8MAliA5s0W/Y2A2jIsjqRU3zjURsbGYE2V93MCKCuiIRO7KU4Peu8LAnFVGvKMJgzACFWx5xJwD4hE1DgKGNmqWyN0ihAbbgJuofI0aPWGqqpSVJ9O3C+cEVjgB+jObDrKxROCcq0yy+r4Yl0Z6TXqVjXnITPNS4BRZzBoBXOZdHaH6+Op66hEm1JFZ3Wz2R+W+TM6JWqFZ/mcpimKss3N8k/PDXXQ9riCwfm4nnxs/pY58VkZ7chyWz+OvP4yQy2vI1c3yXl7gUZELWHNHxpUruGORAEDXPHdDFSMn80KWXcblq/tpdf86+uA8FmGVFvvPVAWPIzSr5lOMc+ImZ4tr7AqBWp9nu4e8eHePJeXBFFunFNn2QEn/HYqgsPmOWGCgEbv9vejvN75jKkshthIl+Jro3BN3FXd/JOdJVXNL9xpyE0YbTdVGmgmlJTQhYygNep6rx8m+dBiK3ntMBRfhgIYyzsKAWWJNP87CaFgl+/vS4ZA7XIS97llcIC7kyMv4X/fRhT+0Ng39oMfHukCRTdQ5thcERiL0BwZNVNKgjWh4VCv7uhEOM8LtaDwSVbWIpWQ667p2LUkquUojrM3NDzZm6aO6srqMzXkvnc0Pm6AkMTEZMQkGadBQxiCMLWVz42SUoDD6fBIXw7ejLmTpwuBfywDyDTncDPWhC4cJ8XqoAYh524APU+Xr0FxQOsZ0r8P80hZp16iix4oyZ13nPmqn3AaD7MgitZd5sBdDYZK6MvU1t0XwTm7wdrqHJIzcA/M2VrUODO0Kx9keOFU+qfeJPYjWsefzzXIt5kUeC1vwIOpdUzbNncWbh6SffUoo04Cz9iH+0Gv/BwCoJGo/fumXfgl/42/8Dfztv/238eu//ut49OgRfuInfgI3Nzf1e37mZ34G/+yf/TP8yq/8Cv71v/7XuL29xU/+5E8i//9i+jZryrBM06LO8PycXPR+trFGtXp3szC/x42xT7a5o2t11GCLZ914LT1ZXKbqyMNq5t5SRgbhILF2UFkIzV4QrwfQ9V431WSFabBnwSIm8sUW+f4Z8lkP6aPO7083ek0YKLse6d4G88snmF49w/xgh3xvi3KyQd5pMZnOen1eNg3KrkPZNkgXG32dix3SKxdIr5wrbG0jVIQA2fYou41+LRr3i9XfpaGEIowJbM+bGiIWv/wrH6WqlLKRS5U3O5lxTopabXotlBqz229iLQ5llaFUXWP9ejifBtD/n9PdzZIMYfHCiRk12ZoJkFVx9KIOLxqcB0HGTavr8Ir34fwwI666db27y66TzWHctorS0qrAAOpG56MD/xpZ3IajUZ6MvCZj3lEfyvJe3NDR37swI59oZpqPW9xvqvpiOTeP7f05EukkYCP+8rwipPs95CaVK6VlNbIjqkVW9UKpTfZyfksba+EuZlYoFn3h5o7SRrs/gxV5QBP1nulpxk3p8d58itusqcbXucelWQrseERDajswmIFbzzM6SghQu4FABUNpqncKhMAZVpjlhRphxWF14RXgw0AoH+sRj0Bngl55avWonhdiKAhNqW5YwitOCZVKjNX5vpnkGHxWeje8cuvhXDtzMnTBjYm8kvWRSekY8WauD2nZxGpqJlGhQ4aggBEgNuZp0VPCSTMiHvVBDVNRp08rBEobFf3YNipf87k9ltFJ3jQIlSTK1ao/71rNNikFlFkzKQRGTlMEovStFjC5IOztScmCeJhRugAy0q+bpDmCBFiXVICW9SE4lAYzMQaJYBQcU4Mw6Gyyqo9EDJo3Az3WURqsAPGFwxON4WMnUZhQAqkUfJzBaJADL9wgR8MM+gQDL93/Xjx4+HndxL7+3y38Gyh68rf+1t/CX/krfwV/5s/8GQDAP/gH/wCvvPIK/sk/+Sf46Z/+aVxdXeHv//2/j3/4D/8hfvzHfxwA8I/+0T/CG2+8gX/5L/8l/tSf+lMf/OYNDFBc1B+rdFKILG6kx1E7+hr2FxbkxH9m5S6qjsHKT6GUje+wSuu13yHGT3FVwibOuB9ucUozrkqHAOWktCHjyHq9JSUQs45Amoj5rMP+tQbTKSFtlFsVj1oYrG3K/WEVBiQ4lA+NdFgtWBKX/w/jMkYQBuLYrySMWBbdg3pKxCGDh4xwY+OubatGbJZ5dV16XIQDLssGgQpaTrZ42rkaJuX+mGW+8j/y0o2nXAs8R2mUTyO1cAZQR3Drwq8avnnCsXfsKWlB2UQtGIdJi52uAfZHu95xKY5iVEVX32GZaX30h2/sqtzxTt+7/JXqxrkn4sRWWzsKKsJVWvOdAZA2sXoqgRYliB88FVChOh66Y/pFNmpJylWT1m31qRYuPo4mAWD0AEfTKRcQEfKJyqfVYdl+B5GSkn0facKdQFqxtba0jLhPVWG4/t36Gnb+gqNopKNqoCJCNQPOP5b7RplxaM1Zy80dgYbGLNj3ecwEoCooO6eBC+5H9aeaS8SWJ9yLewAwOwjBs3wCRkGDjDeap7gpmxoqWEC4ylt8on2mMuP5Hg6lxZgieNI0Y/+s1U3WOZ/13vlw99rHukCpqZrrdESDxMTNuEy+Km1US3fRrtqPClfnUi2Ga6iV+XWsEyzXXWkY8zLjs6LFK/x00iKMGblRu+T2aEVAIJQOiJzBlgy7JcEzywp5qbtF2uqF5MGKJUMceM5IXVAVUmSQZJXcAeZFYJHg93udARshNuxnvVk2VojlAh698ifwBEtLXTogD0UsW0V/5pMIJ9WWSJjPG3NWtOo46sKThNGTLp49ZeylxY4nnLdHvOMQp3m2SNdAOv1a2ak9Pyeb3wPqMxAIFJR0J6QFyTrLQUmROoriMVU0xY3gfExV3RpXHixVMgjgq1/9Kh4/fow/+Sf/ZP1a13X443/8j+PXfu3X8NM//dP4whe+gHme73zPa6+9hh/4gR/Ar/3ar/1nC5RxHDGOS1jd9fX18o++wIioWZhvXDGqHFWk2tvXjst8RZAyZBMBdz9NGVRGLVRWBnY1e2fVZZGjMylVeXgBoQjjNBQAI2Yw9nzEJs64gnZtwZ1ad2pqNp1HvPdDwKMfeAefu3iCfWrxdNhhP7UgEpy0E45zg00zgyGKohXGXBjHqVETQtKFswtqnkYkmEvA5bHHcWzRNUk7PxKUwri67e0UqXrgeooYn/c4/80eL/3mgPh0XgoGAs7aIy74gMuicspsBon7udMAuv24nCvn8URFZOozb6RXpKwzfrvvCAu/xwnJd0ZrwEJadhfqGBa+ETOkbVC2Hfhg7yNnUIaShYG7o4eUQK0mIUv+kCv9d/CQ94+aRQ3X2FAS/zfxTdlI9i4TV3K9qRsFiIPy/HId+4hyFWy9WUuFKQmCLAXQWmHpBUEYEgpFJdP7dUjatOVOhQ5khYd7rziBOW+Cba5kIx5R0UBR4cE6Z6102jDWLDB35haAxrQ0VrYmIVsDOdrzXGzcPQNMhLRrIEyIo98zyqcBoMh8ETMMNEv+nfKS3NXXBR58TNpom8OynCoZ/+ao9/Sv334GswT8H8//Ay7CATelx9N8gkPpsC8depqx4xEXPCKDMUvAjkd8d/cOrssGPc343v5tPElnOJQWUw7q3WXXvzRcYwB4KgiDfi1tQr1fPujxsS5QnBRbrezJ5MNGmgKg1bT5ojgvQzwbxwoVBhbLexEIm3/KnGuWT9l1yLvOblyTvAb15ChtxHS/xfF+RO6s4xuaCimWQDg+jLqB94TxQcar/TVaypjtCb4sW/Q0Y586LaLMX6UqaBrfXKS+J5ptRg/oQn87QmKvi2dSzwWVwnnSZzFZY7kDMSbvGg4JYT+DLewKsUPeNhgeNBjuM0oEeApIO1IC4kEQBqA0wHRBOL6acBoVHlwfgzToQ0Jp1AclXi3z4tI3VoSFO6mf+lkzJCyZRyQCGrIVHVg4SFkNjEjozs8D0PtixUshM+jTF1ze4+PHjwEAr7zyyp33/sorr+DrX/96/Z62bXHv3r1v+x7/+fcff/2v/3X8/M///Ld9XfoOkFLdT9G1i8qGSVGTdVHhUK8rfnbmKWJESjkczQ11s0i1n11px922urmapwra1kzbHI0AYh3vEJ6ULVqo42ofdLHkSf06XBYtTcC8JbSfusX/6ZO/jv/d5j/hsmzw1Ah0Pc94PT7HdekRqGBHE/bSajx7OkHHMx6EWwQqeJpO8Ki5xI40UblYSNmMgLfm+5gl4GHU5+WLx9cRqOCleIOdpRT/d+/+CH7jvc8h/V5A0zYVGSoNap7QjiZkMM54WF0ELF3xiY0QnfuxIiYLso1mlGBRVTvGeYIXIZYVpOtSroUkYjA32rg8dylVAjMPNm7z7CVzB65KKBE8O34TX332b3CdnmDMe/zhh//t3ftJBD//8z+Pv/f3/h6eP3+OP/pH/yj+zt/5O/j+7//++j3jOOLnfu7n8E//6T/F8XjEn/gTfwJ/9+/+XXziE5/4z967/6WjtATK2kSpKgPLeusj9qj3lX5RDdZ8XF1aVbFU8mohkOgGLI2S2XlMCIdSUWwfr4NQiww2kzUdaRDSTs+9qi2zFjli67QFna7lzDqyVtUNZUE0wiqJhqeSACKkxnNGWJdI4P2MvGuQV2OtyjkBaqMlYYUwT7qXSGDMZ2qBH6aF5+L+XGyIVOnMaNTtM4x/w1OpBUk6be3z5CoAEWu0K5emCUi7iNIQpingy8eX8ai9xmkYUMC4KTrimQ3pfqN5iotwwJenR3iWTrDlEQ/jDS7CHg/jNYa5wWXeYrdKN77oj3h3K8it+bhkQRht73PjvqwTASHc9UT5fY6PdYGiG40t3uOsC64vzqNU+SY5gciIa1Ue6Mz9zqLgrdskkwtWp8BpBjGDLbCv9E3tAtwU7vgg4r0fFjSv71HMEAcASmKEqDduGiIoFnzu9Xfxh7dv4n64xaE0eDNdoIGiDU/HrWrWbfPlw6jGVpsGEuMdJ9jKRWGuicrxEnU0QqTwMhWxKoyqZp6SstP5MKtsDTb3dOv7oJ3efNrh2fcFHF9PCGcTQig4PzmCSXB5u0HJ+vlONiO+/957+MMnShidEHBZOjzLJwCA26TpsZpYGhHEVB/2gIfjrOjKYVzkp8kY9za71TEQG8FMu7NquoegklA323KY3fgW9XyNC+P8jomT31Pve3hE5Nu+9v7jv/Y9f/kv/2X8xb/4F+vfr6+v8cYbb6jyhltFS9y2fZrN4yJowTInQ4FsvJPLIlF1zwwAMk6qPuk7XaDcQj5a0m/XwkMIqWmWYsiN2uz0ZDBuSqMJ1JTRUMJUopHsIoJZ5vP1AeV0g+YoON50+Mb4AD/Yvwmmgn1pcREOuAh7vBGvsZcDdlawPi0ddjThUbzEvnR4OdxgyzNO+YhZIu6HA2ZhXJYNdjThadkhoOAi7jVRlUac7rQrfBj2qnwD47Mn7+Hfd999B/LX8S1wzA1uygaXeVs5X8FGjtFqFXJEyhODHQlpIjDb9XBOCKAme1JAJzt4RhA8FHCFqFT3Xv+ajaika+rouPJeAB0f2brk3+8clpxHnLYP8fr9H8K//9b/c8kZs8P5U7/8y7+M7/me78Ff+2t/DT/xEz+BL33pSzg9PQWg/Kl//s//OX7lV34FDx48wM/+7M/iJ3/yJ/GFL3wBwS34P8ARhqJurY6KCKqja2aNwwhjVv8lhjYIKzdRWqE/JRKyyZZ15Kq2CGm3So6WhdcxW2ApYCjWSrosAaCsPDk2DohkuuOFEo5JQwA3muKdepXMs5FwqQBpG8ylnGyEH+AEz9wzwolu+GuzOW+CFzIvIfVcR1phZPCoRU/aBJSWMJ8EcNLG1b2veBLEY0bqA/LGx7aw3wdE8xAJVvBJAMIQwVNB3jDCUCrvx19jOmFMp0Dfz3h3PEVDGQ0nfGN+oM7lJHgUL/Gp5hneTBd4wEf8v46PwCTIkdDkjH1pMUtEQwnbMOLt+R6epx2+eniAp4cdPEPJUa140CgJZkN2fLSXBelDMF8/1gUKxglUwuIFYfbfcO8C9y2wQK8qD4xxRSQ0CND/nQiYEpBY5/zOZRgWmD54R25dj4QOJQD08ogf//TvouMZHSd0rAvz/bjHIBFXaYsihNe75/jB7i2cUsJX0jnenB7gIhyw5RFF1DEy7Gfw5b4ys8tpVyVxqsWPmsh7dQAbGVctzQVw6DybzNEt+0cN/pPGdPtQB93ADLqdNBOmUeIxoIv8cBFw/PSEH/u+L+H1/hKzBHy2fxdFCF8+voKOExrOuGebSM8znuYTXPAiURtKgzcvL9BeSV0IYNEE4WbU63YYl3GH+WdUJcuwEMCoiRAwOM21cEG2XBm7PtVC3g3N3M2TGTTt60ZDK6Lho0ePAChK8uqrr9avv/vuuxVVefToEaZpwvPnz++gKO+++y5+9Ed/9D97i3Zdh67rvv0fRHSU0HeLBbqIWrb3vb5HJ1kGvutxAqg/hsmKq5+K+4xYUSObTs+Xd+0x1OKmqnlEDbGSBMwS8Fa+QEsZF3zEtXQ4aUab74uaxW06lK5B3jWYt4T+ZMKnuye44AE9ZVz0AwZ7rQxCb/fAZWkxSIPX4g2e5R43UPfkDI2Af8BqWvhEOpzygAuecM4jHoYbDNKgtcF8QxmXeYssrMgczXiluUZpxbgLek/w1QFnb+7wb774WXzl8gHakDHlgHGO2HYTHr91D29cKmFVulYLw02n3MphWsiGO7WYF6ByTuhkq8ZwXgSb1JsGte130iKtCZKbDnStmUL1OsYAuhkgHjroqiezwJfdRguZMeFh/yk83H5ai5hvvf9W+oj5U0DdjFWlUcBZxxy5dY+YRWnDKJUc61ks1TCSyPJbBJwM9WBC7sNCeHWehqERYSzwJGppAQ9XpWSFkKHcYonVzl1S3hww3mtw+dmoo/QACIvZ6AdFhhqAJ6ykz0DuBDwrz0qbN+hrO9+qQF2UC1CicS1Yn1N9f+ZSW4xXFYHSSP0dPJN53gA8NyhRkWkJQOkEJQo4aXEnBDQ3AdHQa+sn6n8gIPeo8u3SCsZHM/7ow3fwvSfv4BvH+ziJI15rLpGFEEjQ04xTSvhMfIZfHz6JkzAiUMHDeIP74RYtZUNaAmaJeG8+Rc8zNmFGDNnOo3ER3UBSlH7BNgWoKtkPcZ99rAsUmmZQCZBmq1ksLu0DasdY4VqDTh3aJpsBwyWdzpbPuSImdwltCpGDCMhmwlQK6DCALDwqxIzv2ryH83DEWJo66tjyiDfCgNwynuYT7HjE1+b7eNkWXwB4mhVOu5p6xKPUKtgJcmFIQBbkk7YGXTm8WQuxXV85FnStLp68P8IlqQDArJ4SKkEzlVHDCMe5FidUVHPv6EaznfC/On0TrzXP67kPENw/1QTmm7zBo+bS2OEbDKXBEznDp5onaCjhKm8xzhGdv4fJpOCuXClWLEzDsimbH0gtLqzQUAdgK2JWmSSKPKw2B0fMpoU1r+hTRnXhXKEen/70p/Ho0SP86q/+Kn74h38YADBNE/7Vv/pX+MVf/EUAwI/8yI+gaRr86q/+Kn7qp34KAPCtb30Lv/mbv4lf+qVf+lD3ruy2KG0PGo1oiawFd9/rxkSkm9kwqlX9Tq3s12Zn0rWVX0KHYbl/LZPIZb50HPXrXtA4uXNWGXM8CN68vMD/Y/vf4PHxFH1I2EWFVX77ySto94p2qevsimguQNMkfKp9D6eU8GY+wU3pccoDAgouS4ub0mtUu415epI6znQDtVkCGi44SMBl3iJQwaFoofIkn+Imb3AajnjAe7XlhiqOHoQ93koXuMobULFZfCqKjO4POP3tgE/gPnLzADkAaAmbJJh2hJcPwPbr13pe2gay2yzhgK6ecp+ZVbG4mOWVpUCuqkEjMDvvR0SD/9zXxO85cwtGjKDdVhdsL1xShgx2vYYBtNlYUjItah77fj8+av5Ulf46EdLzsrIArY5BMi/8j0JcNy0vTtZSYHW2VsKsKl+wKH9kGR+BFL1xh1onXLp8F1BxQe4IqQ8WuLqohCQycssYzgNuvnfG/VevcNaPaDmjCRmpMG6nDsc5oo0Zueg162PCWTegCOF26jQ4b2oQWNDGVMeIvtkDwJQDAhfMOSAXApMqygRAES2eAhe0ISNyQRHCmCKmHLBtZoz2J5NgE2e0nHA7d+hDws3c4XrocRgblMIohVCyGnaGUJDmgM12gprUAZuY8anTG/zA6ds4D0d024TTMODr40s4jwfseMRN2eDNPOOMRnxjegkMwcECAduYseURGYR9OsFZGLDlCdsw4qI5oo9ahVGhJexx5SgM3OWdvD/U8b92fKwLFO04R63g+3b5OpEt2FznyrLrzZCpLO6NQLU5doiWnAjrX+uiwcUBfLXXr/Ut0EbItgNdG8zOALPg+bzDeTjiu9oneJZPcJM3OAtX6Gm2+Gqd+T1LJ3gWTnA/3KLnGVkYb84PIOLz0lXi7zSDDzqT1PwFmznuj7ponmgktrRRRz17lRyXs40y5C2ADrZB0ziBmFF2PfLOkSRUwq2wFzD6wEMIt7nH65vnaCjjST7F03SCi3BAoIKbvEGAP6SMnZmzZTAu+IAMwslmxNBplxNuzWfCZLOyNbfUSQPXCFik4mSW9b5A+ybpm4B/j6f9mo/IWtans+eMlAYc5BoWUYbjoAXXm2++ie///u/Hz/zMz+AXfuEX8LnPfQ6f+9zn8Au/8AvYbrf4s3/2zwIAzs/P8ef+3J/Dz/7sz+LBgwe4f/8+fu7nfg4/+IM/WLvSD3zrEoFvh4UrY8Fysu0XxMQ5DCnddS2dZi1KvBh3Pw4fQ5jbLNl5Ibdet6JH5nlBXYYRp28lvPc/3se/au8DAqStd2tAcwucf1V9ORyVlKBOls1RMAwNvji8juvS4yZv8Czr/d/ThJ5nXeDIFjhiXE5bTRY2LsiTfKY5HzQjg7HjET0lNFTwtfk+Crg+Hz0lnPOIK5qqG+wZD3g+b+G0p7JpwNgCwwh6fo3dV1u9t82vgqeM+aJXTsDNwTxoLEF7FRGxkImtAB6mSnClg82GHJkaJyBGlIutKivyVO+56s0CVMIzmEGzJR33rYYqHkYtwDedjka8AGLjpMwzqGmqZwxWaNpHzZ+q3B1S9QmxGbG5ZNhVLNUjB0suj/8/DGUQUdSC1ewRUFv5eLACzBAQN/7yYobnUosdYClivHgCK8WLmPR9mB9U2jByB+xeOuBPfeJ38PnN2+YLohlib8338M3pPu6bugWAqlh4RnMHRdD/ekrozFfEv68I47pscMZHDYSViICC03DEoXS4yRtDF/U1g82psjAOpcPDeI1rC471Z8KfF+dsDdLg3fkMt6nDbe4wlQiGgElwzA3ut3scc4uGM1pOuBcPeLm5xm3ucRoG3I+3uMl9dYvNIA0O5BEnwe7vrOqex+kcp9ZMBBLsi/7OUytUIqu6il3hmdURuCq6qmyc8GEIssDHvUCBcgZkf1AOANPdDsPHPkcdH9BxXBZn29BEZEkUFbOfXikh6Dipc2XfoJxtdVNpmzrikd0GZasW7dMQ0bEmvCo8do3J0mEzCPuyAaNgxyMCCvalww9238SOR/zO+BpmCXh+2AANFhOg1jaXOYGoQXh2q26WPnJytdGK5EvDBDk/gZMZUeFUR5TMTM4M7Hi05F/zgQm3IyBmoS9AKayx2pSwlxaPwjUaqJ/ELFE3EBB8Kv44neMH+zexowlP8imKMPqYMM1aSZdtq13pOIHypPkrwwgU3YyR80IaHDUoDyGozweglvDFZvumDEA010Uy50nm6pxKMgMh4Gp+gl//1v+93jtffu9/AAD8wi/8Av7xP/7H+Et/6S/heDziz//5P1+Jhv/iX/yLOsMHgL/5N/8mYoz4qZ/6qUo0/OVf/uUPNcMHAD4OQOKFLGmW9m7nXgvkTQdyd9lc9Hu7pfuUwN/mEKubYqMIi3lSUBnhBl8Uo3En9Pu7dw54ZdARojPwaS6QhhFvZ4RvPYOME0QKqOtAk94n/TYiv73Ff3/xQzjrBuTC2M9t7SR3zaRdImf4AG5MEV1MOKYGY4rYNhMuuiPut1roMwS7OGLLE25zh0/17+GN5il6mjFItP8aXJceLwf1p2HD+CmLet4cBr0HjKehMRAJedfqSPMwq9v0+8y6fPRC5gxbs5y8sB/GOnqridEpq/w6xvrz6v5rnKHbozY0q1Gj9K3xwAyt9bGcrz2zSZ+tcCLnYq2P+O3320fFnwpzAYuZbwVSh+kkWqiYiyywFCJelCzhoivvExgCYlb1JRD+v+39e6xl2VUejn5jzvXa+7zq1d1V1e5uN8YmMfbPAfvGQH4Ek4ChJQwGJByhIINIBIqCZIGVQFDiTpSYADcECQcnRJEMJATr6srci7BCnIcxyORe42v/YmweNtjudrurq+t5Hnuvx5xz3D/GGHOu0267u027Tpe9h1TqrlP77L322muvOeY3vke9jlkxI1YCNpJNWb7rxpSzaeZhpRZ7gYjSKBGyyWSq5c+imfD87gr+j/YR7Oj9a0mM+6rreFiJog2S3LdZkARrnnuusEUT9rnI8T0YNSV0FLEkxsDAkkQMfqRIzI5LuBJr3FAlzNJN2oTIn8QOS/WQSky4FHf199Y443psuYSD5CVGBIxHmj0cxAX20wITe3gkRDhxiNXjXOpm0fxLVqnJDcjF5nq2uR/Z4yAtcDXUOOVXOEot9qoVhlTjsWkP12gbe36Fzk14bNoTdEXXNjeDSlLt4Fib63i8ObH/ztGzp6rbu0GxXbIj8OGRfOl3tnW8ozf0EGVGrLbAVAvTnrsa3FQiM7SnSzITlEwYgr9+AD44BJwHndqREUqnMPsgcetx2ShLGvCV6MwbiqgRkeDwouYS/my8E1tuwBl/qAqHNc7W8v+fmM7phT9hSDXaOmAKUNnzXA5dya5JmxMJYWt1HhqzsRe3Hunsruxm1PyMK6eLvygKuHKwFGDLw8k5Nx0JgkIle2drq8fSDfjQ8Dz8jeWf40aqMMGjZ/nSnvXyBb8Rt3CQOtxR7WOXBtQkZLpt36MPFSgKSQ1RwxmjRzy3JyOlppZGEVC0R9/P9jLvRMmktQCSwvFkrorrQcYa5lNh50P9QNgRzpz5cnzL7j+U5xtGhCrhv33iLXjrW9+qlxPhwQcfxIMPPvhZL7mu6/ALv/AL+IVf+IW/2LUbIwAnYxegNFuq1spwvi50NtLiSELa1AbWRjqYdHFsa2nAmfNIkpsa3DWF+2CupTomcP2ICqrU0fAz1weJdb+5AvcqgY4RTE4+qymgfvwIZ/93h4OHz+NmJfNyN6qHSWQcOUJcALGVnwMyMwcArzP+qxXwkNFhdB4fO8a0w+juPsRrXvCHuKPaR4KMAjsnSGRDEfupQ4JD60ReXq3kOhBDuygKJjX9M/8Lue4SaD2CD1egZSffLRuZ2KalH4FuWZxkvQOSfF7xzLYmmUdwnbLvjKl17PPMuTsAci6RIZr6GFoPpdmIorLLzYzFFKRU+ClWs4b4VvOn3CAWCVEzmZD3hSQ+R8FS1kvSuHgXkX72Kf88VfPGBepXIiNr23Aec4lV7olDsdJ3qlxhR3BwcEdChM1mcSS/nmpxu40dsNeM2lwk7DiCA3CQgDs8o6Hr8z0AbqaIxxXBu+hHrFgu5iUCajASkCMUAOCUqzBxgiPCxAk9MW6kBg0P+no9dtyEiR1qSmhIGqGePS76iE+GWvhcboWlmyToUnFf4WwlbFHAWT7KRmkRDjUFnK9u4o+HixhSjYuaWHyUWqx03DqxR00Rj017+Iru03L+kLClfMmDtMCVaTujnHsqQzbEaBVa3IwLXGhuIrHDkCokELhihFYS5JPykIxPdCyskQg82xc8Vd3eDYoj8HIJCi3QD6JW0NwLBkBhKATaJEFc5Mqi4FZjllpa7gVZDoo2P7SzLZ33lhhFoamETMqs1vURbhSWd1XHvMO7kZY45VbYTx06N+HxsIs/6i/CgfEV3aPouUaEwz3VVZxXguxHh/P4slNX8eHFHUiLCmnZyaJioyqz2Z55UbgxCORsNzKo3X0SjgrtHwGndiQd9qAXFMkvpUmZ+YCkZQPqxSU07nVi/T9FuAgcHnZ4bNrDVy0/gT8e5eZ2hz/AKbfCn413ilwtLrDnj8SpM9XoucKIlGWdMRG4AsJWjdqUN0SyKKrfgITF+XITbwAsWqRlmyPmuamkIQMKWqZ5RHC+EEGVM0DjJHA/AKyHsvhXXuzST6pCBKqm8B2UCwFAbM13t0ET579TiNJ8mMTVmu5UxhAABGmqq+xQyvo+KSR5/95n0zErGiY4Iw5PEUwSKul6WSSp0kW7UdWRBZONE/b+rC+qqKCLi6rFmFSG34kslCvhBpgBIXuXIwuyf40jxGWF1R0VLn/tFuovj8ekwQ0izvge3h/iapIEZkAaG69GhKj0mKdJPv+6UoWYLCyp02wcQ6YcSbidcpxQV4AmMudryEZkeo6yMsdcQe2aNIJ+0seo6RucU/6bjW4UpXUzC/yYBA3TTCZBGBWhaVvhJs3jA7RuNX8KXlZ8DY1HqkmigfTzC1tVcXO1a4xZM2WUo7AQCS0cpDEx8jwAOMrO224SHhk3DskiH9TRlYxLZvwW5cxRFPWO0+PhigqXhYXE2noZxywpYs+1iMxIbkJNDhe8x4on9CwBpEslje+4CQdMiExoKGGHGCuW5sSp4eaN1OCMG+GhzQkzeq5wkLp8LjqK2CHGY0lS7BOi/iygZ+Bq3MLz6xu4WK2PnfaDJMaeTjOlaoroaMKlJDysO6oDrFKL59ePq+9PhYk9dp2MXD8+3ImaIoZUZ/t6+TgZiR0O0gKPB0GL76gOxN5em579tMD1sIUL9XXc01zFB1b34XR1hAvNiEU1CdFYL0mzcYitrFsUUrHcaAjV9eM2FJ+rbusGhQ9XwIhiasQsgVxAuWHMZHzkVaI6jMKat52K+UOoIiJr3m1XZKMee40QRc3QSNqu7wPc2CJM8gnVFPGx/jz2KoHPzlaHONUeSbaJXlj7sUPPDc64HiM7NclaY4we1RFQXV8Lx2TRCufCCLpNjbjTFlOzxKCugjscREmgVtzx9JY4x9pYxBHSdgvq6sxvyZkStZeAwFnTQlOU0ZUuPheaG0hwuJGWWKUWu06yGu6ur+PxsItPxTNo3YRT7ghHaQt/Ot6Fs9UhbsQtHMbO1gCYfwmtxzxfd2sxrsrmWJXP5xoAqJ9KKqxyfrJ/hUqSJThPbfiP1rJjtZt512ZEZv47XD2DVv7ZLuPV2IJojZnxDdTdFzGWa9V22MY3iULiRNsUt1JNQ7bmhGICHayLH8ecXNy1YhC3Vr6WNvNumJmdVR6oa5nlG8+HSLhNThp0v99nXhAdrZVwWpUAx1jDXz8C6gpV5ZQYLCRfD5SGMyakrQ6UGPW2B42ks/+Ao9TilB+wdBOiqjPOzr5P7KB241VpBgCEs9uZuwUnjVNcVACW8Hr90aovaKyhJ+qDAhsjWEMBlMwh4wnZOTXeiDXb+XNS/6GYJGen2ZHmOCpZ3H5vhoTm5psIIIdpXGPlbgC98qfGmwBOhj+VNM+MtVFxgyhk/JCySidpYrFTpDbVgtq6pF4Y2pyYmVuyhHJPCMsaLqbsP2LO0YJ+OLQ3JriQxPTSu+x1ZFlAcVkXbooiMzk5ODEULEBNAddSg36a0FDCpbjEGdejoRE9e/SqRGuQsOcmdAT0zDjlpSe6kRw+HXfgwbhYHaAGqxMz495K7mV9lCbjrHLxPBiXwg66+gbO+Qk3k9gxeDCeV62RAPyl5jquxRqRIjpK8ARMDNxMLWqKOKNw5I3UonMTTvkjDEm4LpfCHhwS7qwOsh/RjltDsGyHkSvcW1/Nx+KQcC1u4/Gwi4PYYZWarMB7YftY/ncAuL+9jDv9AW6kJW6GBVoKOIwthiAmnqJAYjWNo+wInCoSepw62sbm6Y/Db+sGheoatBSCaJ692+5jfrOwBUkRCQpREBfNz7C9JLVtVo5QiOBljdTWYqS0f5hhd5MoG5vcDxFVL5HSq9iibgK+rL2MG3GJ5zeP40iJURN7XAvbiHA46w/RuSPcTC2uJslAeDzs4lov/x/2Fqi1eUit+Iakhbi6jqcaldqpRTMDaadDOretJkYx50Lwbisut45QrSZ1u5V3nDqCW42Iu42w3gPDBQ+3DjkIbloQFssRHY3Yjx12fQ/vejwSTqPnGkdqi366EoVFQxEdjThIC2ylERN7tG7CVjPiaqM7KVU/cVuLDLqtQdMECkFGOsOUfTqEP5Gy66qM2Dg7eyJGCZervCiqNHiPt5fIybG2eNh1khLo4Ahuxqu+1cVtC/Zt4YVYY1150O5OcRwdxkKu7AdQ28g1apkumkVF6pdBFiSnjTRCBK9W0sTvbAl6aEhV0sc4aXwtlZe7WmTftuMHiovq1qIE/Y0T/AF0HCKW7VSJkojW5fp0gIwy+rHInk1lZyiQNmk0RfiU0NyoUB01uDJtaxyEEMw7mjDBYUoed3iZzX959xjinSOufNUO/LCTjazYAaFDtkz3I6O7nkAJWPSqdhom5XFVhcNjXkmAEMpnhFQwF5KsNolyjxEUJDfM1mCabw+gCChrwGOS86Z8K+4a+a826WT3MRLvpP3xCt730P8jH8ZHL78bwMnwp3I+TmKJ1QBgycEU1d7AEBFduKCqxNj5Er6XAMvxSbWEkEK5JHK+dDNBrDJkBo/q7GpSVnOuNTqKSYMJyAGBCWAoCZfEO6T2gj5M7HGTPXaUY3fAtQTq0ZRl7K3mpakFCbbAuJEcDriGh0h0IxN6SFMDBj7RNzjrVmjJoWePa3EbNQXsuB5bbkDPHqtk/BOHCLHuOkg1zvkJO27CyA4r9uiTz26vd1fXMWlzUe6/jDPVoSI7EX+4fh6ge70bcYkbtERNAX2qcTMucWe1jzv8Pq7GbezqyBSQ8ekqNbir3s8/8yRcySvTDlZVI+/XjfgrWw/h8bCDJQg7TQ/UCclXCEsHv06ZIGuhtKxkZz9EBEPKnkY94wblPe95D372Z38W73//+/Hoo4/iHe94B1772tfmf7+VjoY8juAkUleqayEaWmZCCAJL1wvdnddlRjxOgkhUVdk11bOd6Volm1OQLl65H7nxgdyUq35E2u4Qt1uEBaGqIzo3ZWjtWtjGI+60cFJI/m3pB5zyK+z4NTwYfzxeQJ9qLN2AIdU4v7WPT91/AVwtUK07UJAZvpG9/AiMO7JTqHqb2+rNeEkSqx2B9gYD1CIsCkGpXjWyw2iBWJsx0hZCJ86wfjDVDuCCPOfR84CzyzX+f0fPx/O7K7izOkAkwtWwjaSELEAgwZoCIjvcjFtwlLIxVmInHBTWY4llAeVlJzd570XF049ys0alO0wjO/u8eJhSxRZg6s1pLGYoPqsdgIyEZTJ0YpF5mvTzpMpQi5RkpMAMrpqMlgAo7qLOlebAzolyJyh4adxCBO0fCepWeTmXfS+P6TqVYDshehthcyHoTNxp4W8qktUshKNROVCvxGUl1VJM+Xqy85d0Uc3hmnM0wryC9raPpTNz7eH2VwXVIrUWT4JQuDHCTYRRE/3u9oIYOGLcSB0+PZ2Go8s47wd8WXMZ3/qVH8Yf3HEPapVtTsmhnyos6iAySACrqcYjj5zG3v9usHwklebMCPLOqY24yNTzhMJUfQ76X21860qu1ZmKitbFaJBCBHce3DZwh72gXxpVkEng1kyax4qFQtpIieV8nTn1AnzL2X8EUyUGn/Df/+j/fiL8KWLATykTHikJisyOwGbNrpbnqVH11CSIh6AYxWDNHutGGwFoInkkcaPVjSAF8VwR51pWnxT5feO22H2QWFAS9lBJM0qarqJgjx3u4HcPvgL3tteyHYSFnNroY2KfFWTWHHduyqTSnhs0FLL5ny3qq9Ti0+NpeBICLQA4SrnpMeLqzbjIBNsIwod0/LJ0A2qKOEhdVkeuUoOD2GFaeNxIgiI/Mp1G1M6soYClG3CnP8DVZhvnq5tYcSsqOFULrRSB6VON3tVIcHgknEZkyg3OuWofp/wKCQ6Xw25+7Yk9boYl7qgOcBA6jFyJoSMg39Eg5PrYiI8XRYZT3hdN2kRqY2tBj0+nnnGDcnR0hJe97GX4gR/4AXz3d3/3Z/z7rXQ0TIcrcBVBiwWYYmHJr9dlx1xVMsM9EkgajjQNNMiox5HceJVwaDLAuc+AeGi44sZpibKASI8T0BwucPVQ2N4W6b7je/Tc4CD5HGO9dCNO+SNs0YiHpjP45HAOCYTT1REcJbxk59PA1wGfOjiFm+sO41hh2Y3Y7oRAmpiwWwVMUc5THyoMU4XEhKYK6HxCVwXs9y3u2DrCTtNjTBWOpgZHY4P1WIMB7HYDtpsBU/JZl39ttZD0Wh/RNRO26hFf0R3hVLPGp1anVMkjX9Lz1U1cCnsCE1IS5QZkt+AoYWKPHbeGp4Q/7c/jsG/hg8rOVAYrjYcTdIpZRnCzeHrShiXbjMcIbC/Lwh4TuB/ABweyICw6aTSBQlZMOtefjQFZCaV5Z3sCxa0EzhlqAQA8DMKLWIlSjLeXMrbTBVB8XMY8UkjbS7iVGH2x95mfQlEJhE2dOVXmckorJSIbeXyQ8+t1vMNdq9ERqgzTY8lJ4fY7QOH5mFmexchTlUcU0iw5dS4WpELGQbGgC7awLzukRS3Oya1H2GacqlbK6QIuVgfZBM5u4FsU0CDir+/+Cf767p9g6QY8HnZxMy5RU8QL20s44w/xeNzBw+NZ/D+br8anPnVPTiQnoHzvh7GMdzVZmmtZIszSPufoGPo6s70HAEo6GopjRprMrp7WQxljqmcPEQErDQY0+wOvCMycOA6UDRRQru8TqJxQDM4urdkWQHkprORZMzJLamFvPJWcbJyflJRErNfNbJct1u+aoB4NMZHUd0F9hW8n+WQQRmyFY/k/9nzVOqHed7jy0Cn85uolWHZj9jzpJ5WDMyElAhEXmlsiOMf53jgGjyl6VC6hrcULZVTPk/UgWVQheDjH8D5J3lQdMAWf3VtDcpKqra/nfTGbjMkhBAenppus5+X/Xb0Ey2bCy849gnu662hV/gwH1CzKynvqqwCA/djBIeWmChVwI8bcdMkfEgI6J0yqykna9BzGLudXCV0hZDTlYnMdF+rrOEgLLNUzyU0y4vF9RKpdRk9cYOUsybVbHX0BOSgPPPAAHnjggSf9t1vtaEi1B9VNSXIdx3LTb9t8c0aM0qiMoy6MuhusqkKaBPLs/xiZDUbKSsCWSDfpaH1szOAOjlAf7QKJtAkZlKm9RkMRD01nZN4ZNJDJt6hdxMQV9qoVDqPctIZUY8+v8fK9T+Irth/DpWEXj6xO4VSzxvOXV7Hje5yujnAzylgrscOfr88BAFoXcL7ZR+0CVrHFfujwFctL6GjEzbiFK2Ebq9jAEeMgdHBg3Le4gqUbcT1sCazpJjzcn8bCT7i3vQZHCY8Mp3EUW+zVPSb2+MOj5+H/2H5YGhWa8MlwDufqA3hinPGH+OgoioJJZWseCavYIASHbiU7LQByjkNUFUOVfVCw7sUuoZW8mLyIBCgfQhc4ay44CUeiqgoi5r3Yv+tOlyodSTDL4qtSZjxDaPvZLLIkakOGvJP3ABQZPFDUSH7m/WIJ1qYUGSbABRmXjTJGASDndNkd40gc84hZy6iCdcTEi1bHb0GUYiZ7NYRAHpyJuDROYn7VNbJwTPJ5Uoiy6GpSr6Em9vs0TpkLxibt3VoU4vYosQduAvaD5PvUFPIu9EjJsXdX13HGRRyouqemkB2Mn988jokr3FddxyknqgczjPNrmYfLccxGgE15jxLQqMGSs3Ributs2uZWveQTVRXIRmdAHldxP4DWkDEkM7C3g7Rs4S1Swzxt5tehevnkn9moaQpKBHd6DgtCeMuLkeXohqKwck8A4ZeQucWWniNn4GSjLjKEQ23qUyGz2pguw1gkPDpLIDeTOEBRFkIm3tsxIqlzdQKgycpuTFhcY8SPVggP72BdA2sdA7lRXtNFwCdVnGnDRV7+fwLQdwBN8thAwLoGUi1Os74HfAC4ApoEJK9/SH6Xyr4XABDtfQIIvpwrikClzrJsvZ/um282wLtfvMTf/LI/xfPa61hWIxoK2boCEDXOxBW23CCKK5Ag3HC4EZdwPsFTyl5WE1cSopla7Lg1Hg+7mNhj2/d5UwoAB7pWOSScrQ7RxIhKkSMXxEjPD5J3Z5+XjdtI+SlzccZT1bPKQbnVjoa0WMjCBShr3r4J+l8zparrPP8FM6jT7BNDSgyeja5AvkQlbn21LuoHoKAzugvlyovczjEGrnDKrXCnP8TVtMTIHjfjFjwd5ualo0lMcRTC+/L2MTy/voIP9vdilVp0FHCmkS54HWvUlLCONe6q97FKDRI7XKiv42bcwsJPWLoRd7fXRd7renyofx4OozgeggReNBOfe9ur8K3o5R8ZTmOn7fG85lpuUBwYe9UKp/wKnxrPYEgVhljh3sU1ia0P0lX/2XgnaiVJeRKNfUcTDmOHC/V1XA9b+KP1RdzfPo4LzU04JwuOLcbcNiBfpJ1QbgpryBrNxy86shOJtZKVVdVEdZ2VJtmMzh4fo4z9dFxni2FuYqYZt+Ak6pgah8VKfuZeTKs+I3mSYK3X7NIV7oZm+OCgF9Rj0cnO3mIbgqADOf3WRkSVB+8s86gsLTtwp74G6ymPI8xbBillBIE73RQY3yWJ/0guG9nVVWn+nVOuUdRsKOWEEeUREo0hoziSpUJwlHCH38/BgABwpz9ARxOeV63RkcOX1z2OWObjO27EjhtxkBp0NOFiRRiYcKQ36zsXB3jIfIZM9lvP0LWZqZ00V3GmzBGkiL2Q1tkRaGupoznhi2TzNnOj1kaQvAczw984zGMdeF9M3CoPOjgqo+dpAtm/c3ntHIEQT5Y+mD1ItOITsmh4trmzeAs3xKwAYm0YAL1ts/23+KtQ4GKPHpGDYEEkZFtFb1JFQEWo1mq5rq/tImd/lhRJUUiguRmwO5WmUFBx6Gi7hAmGpfBJSoYQa1ZPccY17xUh6CY0B0nULAmAA2LjMi/Gj0nep5J1U0aZKIsRzAofJCRTUoUie2jAICO0hMe3t/Dp83t40fISzvrDbPjWpzp7mtRKLQBkbGUj+QElk+r59RX1t6pR0xIHscMWjej9GnfVN3G+uomlG9AnUabWFLHjexykBXa5R01RRlv6+VmGXG4wDcGCNpQJx1WHT1HP6lV+yx0NpwmoFiIpDAEgkQ6aQRMHRU52tmRcMNuVmD9GdiG9dkM8Upad7CYPjvKJ5FHM3TLcqjc1riuRH7ce0xbB1YIW9FzjkbiHx8MujlKLnit8ejoljUcluQaeGBN7XAlL9FzhjD/M80Sz817FBp4Y9y+v5AvhICwxcIWJK0QQ9qo1TldH6GjCtbANVKIiekF3GTtqyLNKDZZ+wNIP2HFrbDkxkrs87eJT4xm8qHsUF+vrSHD4WLoLXZrQU409vwJaYFU3uK+9gj7V2Ntao6MJHx/uUE6NLEzXwrakX/oB56ubeHQ6jRU3uBa3UFNEW0sn6Q56QaBsPGCpr+bYubWQxREAHa3lJq/BdzyOQC/viXZ38u8TIGjBLNxRXowK32SmFKHlovA+TrJUesl1BSw7ZNUMIM3JNEn4X1VlJ9mMRBCVzKEQhTzbNUKC1bENNMeHbSwAAOMIHkbQsiv8nbqSBWG2s5Edu577tXIiZvbltlhSSPBjf5zP4xzQKAdDG30AgCe4lfBfeNHKe2nq8p7Mf2dRI7ZeHG2JccqvcI8f0DNwLTXwFHGnP8TEwAESliSSyQkuBwiecj22KKCjFgOP2KKAiRStiQr/15WQ5Scd+c5krFx5cOtB62I2JdyQUBKdmxqIIYdaZtWVjewaVeq0IifPo2Hvi1mVK8gSWuERYZpkY2VNnp1Tux/VHpgtsLe62NKFs1JGeK0l0RhgcHaPJUUu8u9b8+FkdEFBEoMNjYmd0wWvSI9dZFH2aCIwW+aPV9dtAtIs/LM0FDJecIGRKsiGLTCa/ZAN5QAASVChSu0V4qKGt/enTYvJZ6sjbcZCygnLOXF9TNl+Qt6rwTzKF4wpy6FTq9eBNkGWTBwXVT5+eVJpdGLnUK0TKDr43uMoSDDnxfq6WjvIffPO6gAIwLW4jS1Xw6sfFSBrw/nqJh6ezsgItHlMScBynV0JO7gcd/CXmsfxZdU1JDWRu8YuhwXW5PHYtJdN6hI7wDG4kvOeWg81bSlEZUfZdZinE2pQrG6VoyFqGRPk5sS7Iim1m7DunjOpkEh26EHJbJqtwYkz1C1OngmIkFFB0kXNO5EJAqAo5mbOO6Sqk4vMMVoX8LHhPM5V+zrSadC6KTv7TezhkISfgT14Srg07MHjHrTqaHh92sK27/GVy0fwWL0HRwlDqrFKDc7VB7getjIBq6UAD8YqiYHOY9Mentdcw5YTMq5k/IxI7HAtbOHALbBKLU75Fe5uruOR8TSuhF0cpAWe3zyOc7W4c5r98tKNuL+9DADZornnGju+x7bvs+vglWkHnhIOY4dPTHdgpQuFB8ssM3p0oygYeJqApZA2kZJYewPgrUVGSEw+yybFPTqQz4QZcD6nvBofhdcCt/M4wu1sy+e+7oFhKI0KSzSCU2SFmpOT8dBqDaoWs3gFkpiCfixQftvI+TLV2BRys0Eh5vECn1KlxhQk4diQva4RYzIlVuLmoSDW2sSQNm/knUhngTKmcK74f5hiCsgIFS8apJ1OGs5xQtrbykokNt7FMBajMqBwLNoFzJ1VlC7Cl0lNBbcaAAf4xsOvCVeGbXx0PI9T3UPo2ePhcAYOCeerm7imBG0PyfcBzLG5xePYRedGjHwN19JC4iXiNvbHBVyESOzze9WF6GgtKJZ3oMMVvDr5shKZSQmuMG8VPX4ysqg6w1oIpMUMsPKCEGMhyipyxUa+B/Rz052+ni9rDLMqqJKGAPOm8xZXbBwclebEmg8jP9r4pdjP6zhkS+6/9nhTClrwXw6ZU0fjRC4jGhTUabbxiMtKduv6M3aQsZNXJRAA1iRik4ZLqKHeZ7RxYvXosMwzF8u1DyJUh5MEs5qkWhF6NyjXsXJichnLc0w7jXj8mIJtmjKaAiLQGBB2Owls1YRmN0ZpvPSc+sQI240gToA0Yyz8jnz8Dthr1uhTjVVq4ZBwI4r3yQubx3DKrXA1HeZNso1/vrJ9BDfSMieWPx534JDweNzF42EH16clPunvAADcXd1Ar6OfFcvoqKGIm1zhTHWEm3EJRwmHUyuzKgCxFRL0vEoOE8Aglfk/vXpWG5Rb7WiYDo+AbluaE+ONGDPfIuWBsiNf9dLMDANQN9LAzH7HOCl8eCTQbYy5IUHUHekwSIppU8uNPqbMELd6XnNVLhpK+PL2MVwKe7lRWbpBobZW7JXdiHOdKJESy4Jeu4gtNyAyZTLT0o1o3YS762s45Y/w2HQKH13fibO1yHt75a8Yk/zxsIuaYkZjeq5wrhZo/GZcZkvkPtW4GRb4v21/HOf9Po7qFp8cz0kT5XvcjEt8rD+PL2svY8evcS1s42x1E1478ok9DmOHy9MO7m2vIbLDo+Mp1BRxrjnEHdU+/qS/IIFWlcHmTUY5aArCNwFKqB0RiNQ9lkl2uV0ryqx+ANVOfjZK4Bp3NcgtQU0jhFlmQV62ZNHKcHpQ/w1m0LoHTi2exlX9hSsjrma7fiMHq6SYt5d5BGC8jaxqiqmE2JGoJxwzsFZ0r22k2RuoeKUYH4VZmnvjvSSVzupCyU0tPJ/9QzkGWzBNJhuiJH5zGSXRWCz68zgEyD4uXIlDLWX7+JQXXyt31AsidrQG9RPqoyU+cuUuPLbewf+r/StwxNgfOzQuYrdZI7HDwk8I7PDYegfrUGNRyXU1xAoxObxg9wpO1Su0LuDxcQd/cvlO7Fxm8WVJLOMUW5h0M0MT5LhWa3V0dcW+wDtBOMYJtLUA6gZsykFrGkz5B2TeVCbNarOXk9XVeDGfE9ukKX8HimKxOSt7L74ffHLjST8mOBZFjST0ig9Kgs8qGgaV0QUT2HMe65iiI2nwJFDQGDcmuAmYtulYvk5aKOGSZNThxlQm+qE0IpmX4o0Yq66mUwQmIHZV5s5QkObAntitoroDe/jDUT8bD6p9bmJdL1YNbjWCm6ogYUSIrc9Nmpui+D1NQmBlqDKs1VTjPmafIGi+EGqPuGzgVyOq1QS3npDaChwJfh1RJZbXd0sADp0PgtZPp3HKr/CC5jIej7u4Grew63rc7W/inuoGVkmiIU75Fe7yh/jwcDcem3bx8q2P40Zc4vGwi54r3FXdxIv3HsGnw2l8bDiPVWpxvrqJhiJWDEQmdC5ix6+FrqCy5cAOFElcpPuUP0PKDaQ0hMIBiojPAPx7VhuUW+1o6JYL0PaONBLB4P2x8BEsE0NzWXicRHY5afBZ28huPsmuPN/Y20ayR46OkNZr+DOn5YbODFosZFSkIwNetkiLCrEmcCKsY43EYsX84vYRia73K1wOO0hwuBa20dQRn56kOfvarY/iRlziD9f34NK4i/PNPl7UXRJJGmoJdUod+lSjdUIQ/NR4FlembZytj3A9LI+pgIZUYyKfeS7XwxZWsUHrAg5jh8fHHexUPZ7XXMcd1QHua65gpeGF7w0vROsm7LgeDUVcCnu4FrbwSH8KF5vreGX3Cbx3/WX4k/4CLjQ3MLHH42EHU6pwd3s9WydfVTLwlbCDpZPREhFjWgLhzl34g76QD22nPoXZTjJkngp3tSy8U5CRnUGmMWXEBfuHEgg26cimqsApScMyjoIgWEp10+QRD3cnh6CwhfUZAdXQ5pmU2kz3SH05KOjja3EZNRMw6gdQNHKlkigNNYzasFtjU3lpjCxY0WTXXXNcqZOkCc/+KGZwqPk9liFjKJihlKwoJdmoY55p43QYr8GDOVAvJeUXCDrBR0dA3+Psh8/gKp/Fp6uzuKQcAQAI2ldSBFLLqI5I7PWTWOfP5/mPbV9EahlRP+rF44S9j6+lIbP3mCBIElAUS6TREib3VT5PIfum0lxlwvbxhgtRgjnnqkBaFzUTKUHaTPXya+gI6Zhk2y6P2iMta4T66RMNn+3yfQBqyOetDQN5r42pqs1qvQ6jPC7LTUPhVVhjA+S+Ije41TrmBggoPA03AdVKfFbiQkdyynHxa20GaPb/5lYLV5KUSVEoRWTyaMrpPb0WVC/5ujTcyktxfUAiQlo2gvroe2DLNRs1bbmtpFnRgEOaozPm3QLk/DN776l2SKc61DcMqU9wgY41QnIeCPuTJIe/sL2EXRL6wQFNuBYlTPDu6gZaREQQVtyi15yJr1n8mWQNUcRVTQq/zx/irNIMlm5AV0/K/zrCEVe4GrfRc4NHB1m3lm7EUnlhFSVwJSM0iZRgxMqQRfsZgMRIrUfKxNGnrmfcoBweHuJjH/tY/vvHP/5xfPCDH8SZM2dw77333lJHQzq1KzcSoKh1QkA6OAQtF4KCjFMxRlJba3Jb4PUafLQCOMmcv20kz+doLc2O7mj9uXNlVKRqIEnWlV2Vu3ITFfbgYgfvE1oXcDVuI7FDo7yR89VNbLkWNQV8Op3GR9Z3Y5Ua7Pg+j1uM/Grx1w4i1b1YX0dHE/5kuIhHx1OZhNqnGtfDEtt+wJ31fkZLHCXcU1/D+eoGHp7O4nx1E50b8YnxDlyZdjAlj6UbUVPAh1d3485mH/c1V/DBo3vxV7Yewl9pH8YjcQ834hZ23BpT7XFjWuLxsIM/me5EzzXuby+jcxMO4gKdn+ArIcjO67FpD0s/4PnN49iJa3TNhOoI8EejOIkCWeLKw6A+NFW+mZuChFYqzRwnYG9bUBZTWhnRcgWRlivRNBNsnTgDFwkj56Rf3t1GjsA9iZoCCLqgm0R1mJmWAciupkaU1N08OyrvUXfZNEwym99aaJyBU1KgwulDWWzJObCaEWYVi3l9sBqJ2WKbUuGQqCzcfFnME4SmmYxZSaQAMtfLxlOYFB2zzwI6g/czIqhzOX9o8ckDnIs7ADP8UOIRwlJMBX0fETsPvwpqy0/6PGWRmbZr4UT4sqP3h9I08CDRB9S1im5URVWljQUv2tLMWaNmpGyTsGsTwTqSy0Ta+TVn5yREwDOIXTlnRuzW8yuLt/IVnNPsLFmM3SjXrD9BFY+krAN+iCUMTq8DF+WacG7mlwPJOIMTd1mKIqeVz96QiagLu88GbxmdUTfYVB8PmssjIXOLnSJiV5UdO6RZAQMaISrqsDhrkpTcKR48FbzmhB1TEWnoIJgRdju4PoBr4wO5wncJCW6Qz94NATyR8IXURptbNSI8msDelyR5QK8DoN4f8uiIa59T5UWmr+O/JMd1MLZ4bNrDKb/C5IWHeEPl9QDweNzBKbfK3JTOTXhEN8aC0Lusfpu4wp+NdwIQDsvVuI2j2OKRsIsEseTfcgNWrsGVaQf3NVdwIy5xZRKXWdRJ4gkaQhxth1CQMeOhiMHeF5CD8gd/8Af4xm/8xvx344a8/vWvx9ve9rZb6miI9SCdOpHsim3WfrQqia1Ake0xg7aWoiZYdCU1dv8A1HVyIzJIt2tBuzuygGpysD0nH6ndOjnQ9hI0BrQ3I6ajGo5YGdXSge66PneucyXCve1VnK9u4Cvqq/h0XGJijxuTpFw+v7qKS3EXnT/EtbiNa7yNu2pBLK5M22jdhIvNdVxsrmPH9Ypk7MqFpiF+j8dd7Pg1roZtXAp7AIBv2P5j3FgucWnaQ00R97bX8KnxNDoKeH53BZEdPhHOYj9KCJuDIDKtmzClCn/SX8Bf7h4BUDgqB1GOeT8tcCMuj30Zzvgj9Cwz0il6uApqOz4Wp9jdDjQ0ct4toXm5AC9b0KA+KBaoprwF2Y3q2M5ybIhEsQNkhQ6ZvBYQhYtrwabsmgJE+HcyRbq456wouxa10rITR2NV6xBTWfABQf90Ecy7dCC7oBoyYZk8x0cQETQKepAfq14gGV0BwBQLdO69ZCNZoKGZHpq6yBZXew1rfKw50QaEVZmSj28eiAfI57S9BV71oBglTfloglsN4h0DoLoOWdgiwx9pExW5kNhtfEQEv+zUAt8LEXJZy467a+R6GwaRqS86aUasEdHRCgWVCNeV+JKMkwRWalOSjdkAef/NLC+p8oBTnpWNfKwZDLGkGAdRrbGN0CzOIATx/UGV/WdoHUTBYqPnEyiupNGbS2YFEXMgToIC+DL+kd6gKFWEd4QSJGhKDzakxBZt/Q9RNl+TVHZ9TWtQWEYkqfVi9BZYXj+V8VNWkxj5NHFpklAaAK4kAiRVmuo9I95SSEAjBFBBRFwm6cLr4yaUrCBVhbEnsCI1TCScLwZS43PQISVFWvoAsqT56rhSitTvRbxk5GeeEjr1p7qR5P7buQkJDvvqiCtJyyKz3/FrTVIWZc4UPSaukBTCFRXpNXk+XuKj4/nc8CQmNeSUv9+MS+yHBcbkYd43sSbQwmvoo34vtQlMtZO94hfSSfZVr3rVcVXAE+pWOhpySsq+r8quuvKChpjfgqEeM4IbrdZyA+ja48FpajkN0l237h7JdottIzfymQMtIItuWAh8vR86pIYwcIsdv8Ypt8LluIOHpzPHAqOGVOMgLfDnYQ+XwikkJtQu4tHpFB6q9nGQBMcWa3zC+eomXrH8c/xf6/twMy6yw6DLF1aDa+G0SMeaK6gp4PEgxCdTD32ovwcPDWew9CNe1F3C2Uq4L61q3P94fQF/ZeshNBQxMnAzbmHPr/DlO4/hRlziofEs/nB9D87VBzhf3cCNKLb8o/Jclm6AY8auEy7MjbiFq2Ebf7S+iNVRh8YDcVHDVULcZOMA6SLM0ySme45AR73cBBwBY5DRXAigU3tA3ZVzb9kzbHwCG5mwXBsBMp5zJLtiJSuiH4DFCSohqgrsj3u6GPGXQhSPDVO5AMWYy6D1tp6Z0TEACVUTDyDlX9VV8fRJgjLRYlEWWoXZMYwgNErYldwTW0ANAck7fKikVnkW+U6gXBi3HkqzYhwb+6waRUrmXh9G+k0s10OIGdiifkR9jXJ8gbnu0kpUQ9w1BZ2wHbGpwkyyrmZoNAzCVYopy5lpZwtYOVE1RS/nzcloESnlhke4ZuMxAnFGk6xRM5m8NX2TSKfToinjTCXXZnTQIjcSg8MomyQzk2ybbBpJIZWGZgrFJ+iEykYlyXyGGFkRw5VyP5xiFsY5AeR9+hIRAvt32HdZVVyKaIgxYfn3/FyqwqI4Q57cjGir6IeLQq41+/xUO0VylCeTIM0O0Qyl8fCrEY5nSqt5c89AVmQB4EjikQKUMS0wm1khHx9HlsbDeWASYmw2vdMAVUoJzIK8pEbjLvQcU5DG27xiKpdmTrSisulowpIGtelPwnlkly31PSUccYPzbh/eJUyQgzfrfLn3e2l8aMIqtbl5MRXPlhuwdAP2/Ao3qwUaHY1BjwuwphK5ycyIVuYGPb26rbN4ME3gQW7E1DQSHKimSGSeEjcOwEf7cGdOyZemH/PiZVwV2tkRCeswAFMrKIujnNOBusvKCsqNSmHlh70Fxh1CvTVi4aesP29InP0uBSGNHsQFagrFnC1sZ/+Ru9vrSEzY8xLsNLHHyBXuUT+Uh6azSExCtGVfDHMoCeeFEoZUoXUBD49ncV/zOBxSRjEAZAtloEiZL9bXcSNKAOBetc7kV0CsmC/UN3DWH+IoNThdHSGxwyl/BECarJ4rHKITtKhaY8vJY6fUolHoMCQHX0Wx5z8Y5MZvCpw5QRDKBah8DkmEE4ImqdU6TDExSF4QmMH7s7gDM7LyLsvN82vUtcz9Z+Z8J1bqaUJRfV+SyTIpv8e8C08JWK3kRmW7dFPMWOigc3nhBlBkvEbYTBG0LQ2ljNESKI65iTHkJDXinupursoYB0D2+pjxV7KBmRHNZ1k2ppjLyME4gca28FyewJXJib6kz+lIVFjW5JipX4yyOBvZdNWDd5bldVTVR3VdUAl1iIV3oKaMz2zzQqT/NXM6ZvD2Aty1+Xlls5N0pKUur/2Yz1tWKxlapW6ypJ8Nt7V81uOUPW24ERNCMmt7Q6LsM+z0PqPNTh43MYvFwgkVE7LUGKBiTQ8cd4cFdKdPWcnDatgFzJqM/FhFMxKQCHpds/xFSZaIT1jxAFn8jcQ6JsSFFy+TWF5H+CbumIMt2TjQFDYpHUNUuNFRj/FMFFURiTFAxKK+sRRla9K8yyNYUp4YEs2IvBoPsNbsqzwJk7gFkKQ5c0VAklTmOQIppojl7fdc5+Zox68FqU+CYm9RQCTCmMQRtk8NHg87ONtJ8vyO68s9PwFLP+AgiVrzbHWIrSRNeoRDn6SBWUHUPOfrm4hw+FRzCnCsiivlGVlzQsiS9GzAN/vMn6pu7wbFV8IfsdyMqiqSSlUecDIPhrm1tV6I2V006E1DiXGVEisNhh9FiomYZLfV1GL6NbuYfQ94z4Iu1DcwcYUdt8bluINTXhb2moSwNGmOQQTBq03885sr8GBcC7KI3FXfwBID9rURuR62cBA7nKmO8LzmKvpUY9f3YsoTF6g5oHUSId5zhQ+sno+lH7Dni29JTRHn6sPcnER2+f8PorjLfnI8h9ZNOONl0Y9w2HE9XtBcxtl0iE+Md2BLnXL7+kYOQey5FodCYtyMC9xV3cS1uI1P9OfwqdUphNEXSNhiBdZDbrB5moodfUxlYe0HaVqWy8IF6DVTJ+hnxPYF0xvEei0NqyNZKIZxlhjsykKTTo6DkrpK0sHMKVZHlVl6m51JdUFUgmsmapq9/DBKRo9dr3PUws5hiOBtkfbSzQP5mZFfQwAscFPRQppUpqz9HauzayaxWsNnC6o2FKQLM4+T+joUIz4Omv/jfZml23sFSkaQNUKJgWUr8uOtrlj018IB41rDBolkbNTUoMOVuOH6goLkxR7IPCRu9D6hqj4ikgW/a0Wm3bXgkGDSUHm9CtQfZa8SG8+IS7EXRMvGbEogzpwcQ1wsvyfzeEgzkwbwzpaMNddjUQ0FPXe+ylJVUq8YmPrkhIp0cmNmaFmFExSt0wZDdszl8TJqQc7qEXM2B4m1BqDIBwaUkZBDjktwY0Rqq9Io6NjETMKEqCsvxrXL44RjiqDGwU1KVg3SuKbWgyqCXwW5tiaVkBtio4Rvi2iglICJQZ7Asfwb114QOtsoaShiRpEAhO0GhSulmxHjITnkoFcak5xP+13nRK0XEvwAHAxCfO1TjZG8phM7HKUWEzw6TOjZZ7T98biLG3GJR8dTuKe5ii0aNVOozjb3W27AQepQU8RZf1jQcRpwyh/JfT/V+MR4Dqe8UB0WfgJ5Oed+UFm4fgaxdZnrY6Rp9yXToGQjNU0FXXqga4qfSkyA86BW4H0y622X5IbUy/zZFB/mD2HNB3VtJr7xqges2XGtSAyHEegHuL6VAKvgcGXawZ/TXWjdhKvYxh3VvkqKJbQJ7HCQauz5I2wpWfWUX+Gjw3lBQ0A4iB3uqITA9DG1jjcX18SEL28vwTvGfuzgidUTJeBCcwOrKJ4kITmcqw9wedrFuUq8TUyOvPSDWoY36LnB9bCFBMLEHi9oHgMAJEhDdT1s4eFwJtsfXw9b0qFXIove8WvciFtIyQEkr3HGH2HX9znTYa/u0XQBqVGIr2tktzIMcsMdRYJJTVN4C2v1L6kquW+No5q2+UJYNj4DAI5ilU/eCYSqKAGA/DpCVtNREhHgTu4m76/ug1IF3l5qLg9kh218BmuqbCe2tZQcG2ssol7DyvHIJm3mOHoMlmZBaQZtAk3dVnFx3HWKJq56YN3nBRNAXmSFb+F1R5gywZdWfeGtWOOuozZWvxs3TsAwgRfy+XBbA2tJCs5NiiPQ4VoMEwG5IVeyIDs1d0uLGq4P0rA4h3RaSHo0qvTXRmKs9v1dA97qgJDgVj3cvpgEGhpDVVVQiWGU5qRrpIkzl19TJBkqixmioiRZGkagbZB2l8IdmHF06GgtKJX62UCDHEE6dqw1nfqo13ykSc8vZTmsnB/140iQpuykStETNyV49SiRA2TdGDLQOCTlezj9d0EwDH0hRdIIQW3z3STckcSSEO8GW5hlPJJqh+mUXJOsoxmwPH9uVJx6oTjkEMGkC74fZeEMS4/YeVQHo/qPpGLb7wlMDg7SbKXKIS3kmnKjGPKlxkt/uZry2EVcyQAEghsm+R1rTHTEmpai2HFjFM+fkHKGkSmLaIpIi0oW+SkeQ6Qy4dScZVnu2Vej+G11FHBHtY+H41kAwFl/iFNeSLJXw3YOb73Q3MAj0xlcnnZxZ72PRvkpE3t8mk/jTHWIHbfWTadsmO+s9nHKrXCQumxlcZRaJHZILAZssRUriepIznNqzD+mNKxuTKgPnz76d3s3KGaCA4jyZrUSKLuuhV8Sk+xwnN4YxikDg0QkN3SvRllGXjMyrXPl8ba4BSXZbktCMvU6/6ycXDDJITGh5wo3pwXurPfxeNjFlbAjEmHX5rTKXd/jlFth6QasND/hyrSDm2GBpRtxpE2NJ0nJPIwdFn6SMQwlXIsdPj7cgTvrfdxR7eMgLjSIcIXn4SoeGs9hSDWczhbPVQeCrqQ6u3Nejds4VOv609URroct7PoeN+ISnxrPYGJR/Fya9rDvOkFIwHBIOc34or8OQL4s18I2dnyPO+p9eBIb5YNugT9J5xEmQVBSI7klNAVpUtoaWHZF9mkogIUGtrrbuH6z7NaZlVuhi3BdA3EQn5SkM16gNDE21pmiGO/FWFCDk6rE4O0l0k4nhDpEgYGtuWiFOMze5PJO7eO9urHql1yNxY7FMHid3w9D5kmQuaUaOTyFMupSNCMTbLtWTeE0Y2c1G7UA+XOgoGor809pa8BtF2VH15SgQDPWA4BhhFtzSQ338jpoavlcRh3zeduxck74pSHm46BVD6ADd8qzcTpuSqp+miZgeyEEWU9I6OAOVxKu6EQai8oXw0CT+dq5NMdbCwkcJ+BwJfeUhTReeWdcV8BqDTeMORDQeCi87I4lHueYgpgyQRZQAMErlwY6/qzkGyc5R6qu8h4UTzAsUJEK2wmzI1VGAWG3FZSi0lGsIzArWdLUM2r17gKQlP9h9vKohXESGwfPpXGgwHD6dyRpdmJHAAgcRdFl15os5IULI6MlqLW8y8nIxACNqmYbKxnVRJZEax0FOvbCMzGvl67KyDo94fsg16CiLUAeQdsaJcZsARQj4lZ7PBDRE9Kyhj9M8IeDXPeJ5fypmsdCLGMrpNQb+0u87/p9ONMeISSPa4P4Pq2mBst6ROcDKifp3okJN4cFhlih9QGBHaboUfuIRTWhcQGOGH2scTQ1aFzEtfUSITo4l7CoA3bbXtaOZo1rwxK7TY/HVjvY71ukoyq/Zxuxscqucyaanq5xu37a19pt3aDIrFnUN+S97LzsoumHQoS1x5vMeK0jgnECMOUbHq/WcnNuGknJXa1A21vyM9vVhSA3P0B2W8sOqXYInVxsNUV8WfM4eq4RmfBY2MucFGteag662Cfc5Q/xOO/gjmofnZvwyeEcahck3ttNOFcd4ErYgYOMj1axxd3+JnZcn4OdXlA/jktuFzeihP4dcavx2g32/Bqr1OBMfYgXNJdxlFpJoHQDLoednNOz49Y41Qpkd8qvULdyk74Rl7gSdvCi7hD3uGs48mK/H5nQ0YSDtMC1sI2D1OEwtqidmAdNqcIRtXh03MM6yrkz6aTN9VmJiEKOVJ8T++IbFG6LmvdikNcfyE55uZBGdOLjpG0iYBrlpmhmZGGWYO2dkqmrjBCcRHHXghdN3h2DSG6KGmJHa816md8EnRiisWbugEWNQqteduLWLNgi6Kg0EJoNw44kTHC1FjSlrmQRzrt5UYzIIopCIjfOBiCIYlNLxgxzSehV/oTN9KWhOK5OEsVNKh4jkBs39P0CkM8JyKOtnMfSj4DxMgyJmI9aadbgAdkDCSmJDNkaDxu5mLV9iBmdooOVQumVLhLyWlxXquqIBZ1SHxVua5iBHffSKGdifV3nYyYjENvoKUa51xiywgxLMs5kYG7FEMwTSNONmVKJbjiBShWhHlNGQogY05kucw4ASGCcI3BFgmDUyuuoKCMw8riYvVHClkiExfWVc94PBfMacSANonMhIUXdGGpSsnBjKoidvYxHkvqfZDM3h2xbzwRJz55clrDzogLtyzWbOl0vTDlTucydEvO4OqMfACTJ2tKWTa7sy+KcKgenjWW2wjcZsZJluRZyriPKzZKMgGXsJKOSCu11Bn1gC3/2x/fjTzuRKFeH6jtSAanRPJyo4y0muHB8bCbpw8r5qYBUA1UPRcfkd7kCxgboAdwM8tg/N/9LDzQ3gdgCWwCqXr+nkeGGqKZ4kI29IVQVHYs9eKq6vRuUcQJaI/5JGBfVdfnyamLusdl9pSx7ZpnxRt1VV5WMArpW0RT10AgBIGuCnIyAVutM2qRVj4oIVb8AiLEfFjhIHc74Q9yISyzdCA8J5zOE4Ux1iPPVTdzjD3EtNWIlrHbFe9UKO24NQMYlj017mNijU6lvTRF/Ot2Jx8MuTnnxTPnEdC6Pb67FLXgwTlfiMGveKIaY/O/1vThXHWRiLAC8bPlJbNGIG2mJq2EbW27APfVV7NKAD48XcT1s4VrYxvObKzjlj/CR/nnY80caLpiytPpCcxNnKrFX7mjCp8IZnK6PsO0HfGD7bsR2ITDpepAb+TAASzVbM5QjyUKYxzWdEiu7FnxzX5oUIJNcue/ld7TpkJ23LMhpfSALgDrIUl3NeC5RduMnVLxoMvQLIH+BRV6oZmpmq247NF2As4FbkiabmzrvwoUroXyNmIodeyboaY6IPR8grzE3GNNGI1vwJwbCBA5RvYT0sV0rYxcLAbRFWxscWgnJnBctOJlsUxcaVaFkEzeD/B1k7GLoF4lvSl7EZ/LlOXLEbZPlqibjNQ5Ehspzrg0pxyNm3g/pWAsATLZ8rNmxJgUov0cqnY3aTHgno98pFOlwPwCd5CRlV1o7p3YsppSC7L7JeDhEmUAtEnMPpk7O47R+Fq7Cz69ygjEhS3XZ68KjPBJAFl1OgPmf2M/dFBHrcr2JVFeeT/xuJHcneScNDQFQ9UfYquDHBMbs9YDcHFmmT7aXZ2ROBKuyiKYEbpxIgvPOqYycTM5OU+EhWeMwN1mT910+T5oC3BgEJY4RgBBaxcxOP1fLdzJFjiNhjoSUG1eaElJbyfjJzjdR5kVWRwE7DxHiwiErm5T/ERYOUVO5ax21uCDoVWwdUkPFMp8IsZXmzY2cM5PClgd7oDqU71AyszsWp1hiRn+2BhPQ3hRDvbBQO/6hbLjsc7Hjy8qpZ1C3dYPilovSjMwlpsaEH/WmqmMCWvXAgShQ2HaEzLKwNTXAiyJZjlFkfzZmqDzo5qEsdt7L8wIAe9DhClV/CgTgbHOIPtW4xKewSmJqM7HHufpAEJDU4E/7C1g1Laba45RyOzwSHhrO4jC22K16vKh7FABwadxF6wKe11zDQ+PZnL1wPWzh0fEU/s/tP8WNtMzx2IAQXvtU578fxhYejD2/wunqCBEuj5Ne0F3G1bCN/+9wFxwYnZvQNeJC+zBX+PhwB85VB7inuYr91CGxw5nqUIOiAg7iQsII3YjD2OHT0ynsuB41BdwMCzGC665g2UywWypvL4C2BkVtxfVGDCCrb6gt4x1aD9KAaONBbfsZjSgplyhLzwHhtFTaWCqqkA4OpWlJCThXvHlOpOYzanN1hd7Ys/KoyrN9QLkW/ZANwqipxXFXyaPF6GwqXBvb9ZkhnJFk1VeGTK7c1OLI60mJg9p4ADJWAJANEVUKm5RPBECJrgFQDoWMkNTjRmXIc7nyZ5QS0Q0FMkSFTc5rFvpMuRFiHRdmQrsdoz7OSI2mtEByRZ79BJVSbq70msuyZSPXaqMBoCiVxknOZ+XlenWUpd2sn6XcT1LmQMlr64jZnotZFqcKJbXaRmckCwR7Gf0w84nKjAHMZL76g1QWPQIXjxOGBOg5wBKK52Zr9jgQMl/FkBnxWtFxTGLwgoq9viUdzxY8SpC/VwBXs9GRQzZsS57gqVxXiXWMUxdOT1o2snmxHooIhd8SFZlQcrt5qyjBFYAaBjrAiNbaxDAjmyy6MRR+CSm/xHslwzukTpEV/bscsCBJnkj4K/tK9NVrix2hWjsk7+D7IIngR0NG/NOyQ9xptZkUNCZsm5+UNOV+PcEPjW4kp/J+APWTkWaO0pY0kv2E1FTwQyWEWK9NYO0ykpU/Y9bPaPb5P1Xd1g0KfAVqFsgZF1MAD4MobbpOINFGZ8DrQWTJKi+mqgKapigi9GZvYV9ExbMk21t7JyZSlc9ywrS3hdRWGHYdGMDjo7i1Pr+7kp1hb4YlLo+7uE6yQ1ulBp9cn8Vu9Ty0LmBIFU7XK3yqP5XzRf60v4Ab0xI3pgXOtYd4dDqFPtVITPjg0b1oXUBIDn823okh1fjz9R1IEKv9IVa40N3Ewk/4xOosahdxY1riYncDp6sjkQenGjemJT4Q7sXCTxhThSFW2KoGfGD/HuxUsgs/0xzhdHWEPzj6MgDqRjicwm7VY69a4cq0k38u9scjHp1OwYFxdysuuA1FbDcDDlvCdKpDdehAvTR24kfSgXe3QCtflDjGWbh6AxwjaG8XqCq4O84iB0C2DaBJ1bxWcmeMoOVSviB2E1dZOccIt1yCdreF9ExP/4vyhSzONuEpL8yZPKq7NwpKyEypoCVqAEYhypgGHghTbrzJORk3xOpYg2NNdyYiu5lZmimfAFFb5A2Azzt9NvJoCqBUi2rBGguT+ZosHMiheLzQzKXIqgxKZdw6c88VpMjUd3ITlp+FgsAkzrN+xFjGrvmmb+OiCN6qS1JzTEUKbO/dJMJqK0A6FsjHo/YEFIKQh9tGzOoA0IhZ86E8orqSzyIK0dV217Jp0ve76PL7JEXBeNEAmtrLgDyXjbhYiJHSACBzJE6izLZ87iIryizN25mNErzKfVNTcnrSXFljp5nmz3+8iXniv6eK4BKL1NcUIQ4ZNckyYkOp7DmhC6U9llmag9y8Ks+k8UDri8+KIn8UkblKMq6CyH3t9+dIS+2lQUkAOd0Qsx6vNpvz+8/ctM7C9AydyYnHRpYmgKYIt54y54Zrr7zJCA/ArSe5Vo7WsqFxQvyFGss5bT4q6IgsCb+LVgOqSa0P7F5hjsf6/eC6gt8f4QZRCGKrkwRjSGNoCI248ALI1y3n43+6dXs3KKd3wb4tO8eUAGyJuVosCx13ddntmBW3c0jLFqic3GD1xuhuSECaEaase+Tag6ptyU5wBH8oKoKw12JaVjLDu9rif9YvxLIbUPuEYaowBo8YHZxFixMjBLmgU3Jy40kACPBVREpOSFkOSIEKhKkJkcyAq1O+tttuhPcJ01SpYtoj9hUwOqCNQCw7FN/JzjEOXnaXVQI5FuQ8EpDkZ5wIznPeXO7urLHqG4xHDahKqOoIX5Wti7y+h/cJdRWxXjdouwlb7YhFPaH1AZ+4cgbVAhj35JLzlVPr56V8yWqPdGY773jjspYdkBE2HQFYIKkjKGl2T+oqUNAgPKD4apjp2TABo+ZanD4l/hN1BXQt4gnyZCkkkLO4dpKdfeVLJo0ZcqWUM3hkhCF29pbVk03CJkUudAwJQJG+kBESMmJt1woyYHJXG5fYCCXJGMkBahZG+UbNKtdmu3Gvx0K21UWYlPt1LIPHKZqRpcbS0NM449gAyjOYhLuRSdGpNC763yw9nWLhdsyJuLPdnvAJKkWDZAERgq2+riEugLzHYQ1adsITMsJjiOC+L+obL94mkrjtlPwoSBjreyb7HJw1PCQbo3n5GQ9GkaWcZp15PMLXcdzqgqG78xMqYsZ8jWHCMW8UUkTABfXEiElIyiQjicLrsCdEHpMYgdbQFwDZv4RCApF7cqMva07UY8Tyb+SYyjgpNzRcLPTnBE75XpJaUnC+3iix8L9a9clxTl8jgtVFF9GUQMr18iRIjH6H83N4f6zBpJByHANF+fz9KkBSntW5dioopTXotmmhupKxdhLlD0Ul2ELfm24WBBFMoH4qIZ+VgwseFKN4S63649+1yotvjSr3zL/J9SPocC2f5aKRRs9pk6Wmc6idjsjkD5ub8DPoUG7rBmU6twW4VhnDckFH7eScniTRvXu1WJcESfuQk8JQYGk6XExwC7HCzhHbgN7AqQRU6Y6OK0LoPGLn0O4zzvxfDvGPdxDqHdlUTYyWARdRrKEZeZ4HCDnJgs6MqFSrk36skbt9svsRAezlZ34CYtsh1oRm4lm6J1CtWVp3QOyHGUhVDfaAG8vzpVr++AEzeBXazcuXqj+9wPbIqI8YobOdnMKoUQhaXUQmVVX6/iYAvT5+MQHNvtx4ZBbaoDoQngnXgkgxEdDIqMIIcknRA25ctoSWG3kLc4E050mzua4PxlkGxBIu7Mj8elnnSHUaEyJOLs/k2NgmpKK+sUbAuFBKXp033CZFZlRFUg9II1a1GbngRVss5YnAh/J+qWthfiN5Z6+mdmYAdyyR17kc5kgxgS2IUN8HxVQMztpabpjWnNh7haIBU5CFyCTUNg5xVOTjtd1MI1LbgHxZpDP/Zc6ZMUTJfI7UgZVDyDda14dyHpoKiJqbY+/FXG2bWlQ68xuyckCoaQSROgjCjaIZ2mQVAmikYgSoo2TiGTFXxwV5xETSMNEwIW21GbXi2ufjpfWYx0OEGbJ1QhUbJyOEIGqeZDyUYMgK5XuEzT7mjYU1Cvl+k1glyNDPTB7HpgYKkvPjYkRsvdy/SJoX806xe39lMlbS+5Pa7wMiNYbar5tnilnTA7rTTwxKETllWIu9uLtC0RA3hoyy0BDhDkVOnhZVft9UcSaGU0hCGq8BdkaO1e9/SEDrs/zY9QFpWec1ygGIyyajLIJKVSLfDxFumKSZ9gSMpTE35DOPgC0+QzmZEhGh4ZlE4GkCHx6BFp0002a9MQygts0bFJgq0MJDoY1rULRKUaVkY+WZQd4zqdu6QeHaIVVeTHbmJ4CARCRreys7JpNmJYXuclc+FYdACtKYkOPcwFi4VWqqvGjCEWLn88zUj5I42exzbmRssU95ERedP0i+3NYAAELiio2Diyz/zV9yfZ/z3cQMHrXfs/cMlKaCgsKXmt7pR3ksV5R9C5wZLM0dDmfuixau1l2PYrCjjeDcrpiSNEzsBNpLGjfuLQ59DmM6eU0/RCXAKTfAQc25kK2wMxzKJUCMFO62ObbFtwsBjzNpL6oUUCIIfAkGS9YdQjgu4Zl/YZ6tMtlgtkG30kXMkJW0qIXRz1zSio00Z9wFbWIAZAInd41wSpwD7R/CwvCoqZG2l5KAbJ+7SWutOfKaRJpHo6HIcfX4zA3YGpOcRs0MoKAwGdk0RGCcgFZHWJX4oWQEBAUBo6E0QbTqdfRayQ4280TUR2XRFh7N/MYMKC+tBpKMmcisAyoPrFluxlvL7LprEQJkzVCI+QZPicWPR3lqYqs/lQwooCiH7JxYYrKRdo0QOwsg5K5Vo7k1nJGAgy2Q+hkZh8cWzDhbOW9xsfYcop4R7oKRYNmRSITHlA3cUleONdXumEpn3rT4dZCf6X3I7l3g0lDQWEIIU11GcZzKvTZ2QjBF5rdQ2d3Hkq+TdGMkZFjhs3Atm1fXqw0CHKAEXlTK5VLpMtSpOHuhzAjV8gJ6T7LrgVlQezsdCSAu6B1NEc6Jf4wFC1aK+KfaIS0rMZKzMV/rwVMjtgNhAG8tEHY71GMo4aHVrFEmly0DshR+PQCrdXFfrgRdxjjp6HkmSjBUcGawaO/XsneOBTEGRmophxs+2Tjvqer2blB0NsdeGhAKqZgC1S5312ICpF104mzCgzjfxXK+4N1k8dm6A7Ddmnb5lutAXhZLN9mMkvPibV9aSi4TvbgikZopXGcNCrGmtabjX/TUuJnVstgqV4zcHNlMMtUuuzrmuG+vzPBRjzUwnGNBQgNnx0eRNuoX2CDK2bXnh1RkYQqhRmXs23yZNRwMjlAfCVQtaIaSxNQzIQd4jQnUEuLCl2YpptluibNTpBuVbBhZCXIErsu5s1RRcxW1L1RqfW6W8mesn4k1X8/EcvlZL2YxGyPSjBjOHBTb+bEH3GrMvgxkIwtdQDPvApCFuG0KaRQoo4uFRDWQyWrN6dR4LzHKvzGDtxaKZNVKHNQR2+GR7KC2l7MmUr8/Suhk7+H6MUuaBYGALLZJG4yUlFxebuZscmFDJEz63NTgrgLHTnZy89e0BsGaESP7ei/NmXM5rTk5B7R1Pr90sJJGxG7eQXK8uKnlpqw5QdwKcpF3l62iKzZGHEc1uktZ/cdbC+SRm3PCtela2dkqWTgriMx7yXxZlNvDqHKDx502hdOUG8q0bMWP44RKVCHy/2bAFVuHShOJKcr91D6rVKlSZCrSYyiabPe72EnQX1ByaLWWkaYfOHNSzFfFRkDznB6211Blj7mxMunmkwXlia1HpUhs8iTjFhuZzJO4PYmzuJY0R1HOuzU8zIXb5Clz3txqknulEW+foNaLTa1jLwBTKuMyHTe6gZHaSu5tbOqaKOcqJLAa23FipO0G3FUqmxakKW13sqmx8a99T0bKG408NtfmBIBcz1UlvKxW/JBMuUazDUqW9iu6Qv0Et66AKAZ40I09eypeOV7k5uzxjDaGt3WDQpFBpBef6eutYbQmQTtkVtTDWbcPZHmcMbDN9c7+XzryGZlbmx0kwCEhtg5ekzFt927aezembPPrRuuwKS/WtgswOZ3dfEoMeGlqSL/cpFHmZFI3Y9JXfGwRFu8B2eZYmKCQx/TcEHJzQgxxfEycCU0gEjWHzZQ1hyLL3Syy3L7oilaZ3t1eyzHkMXqzcmLvCNadEzuSZFZ1xyRIkxjJlZksl0aM2wrJyUUvOv5Ucj3cTHZonyWkwTo2MNcmS3ZTJzjHHwLgGvCy1RvLdMwdVBqQKY9zhAznhTOlKhML5KNBbNrT9jLDtzmR15E0HZbVMzcf9Iq8VFVWjmTulanUgKyKmvMqpKlIpbGAoB/sHbBo5dwmQUw46QJOJKnjT2w0rFniMsYidQaGek1kNZONXiwPyBxu9SZs6hZaa0SChkmaAsLUOPk8LxeFKM8uj7XSdqejxxqWu0XGwVm0oKO1IC/WDAKlMTGid1sDraisoAZdhlZaI5LTo6NKXy2tW8dddBRLYGTlgWGEv3mEdIIinlir06qpa/T+YURPZxs19cQxvsn8Xhg7n/1LxMK+jGj8UL6X5iliyo+wVZWNImzzlkCD/BsxI1Yuc1ryaJwNMVaUZGYcZ4F8sOYJAAYc5/k4KNFXuVS1z5s76DEaJ0oOjAq3JaFIk+37OyUx4audqpsK2dXv97I2tVVBBPV+iBmfxvVyz+DaAbXcB/yRmMCRc7mZZkMch0mtNjxwtBZRiAlGiMr3vNLxqG00gOzazU0l/k2rQe4Bzrh/CVjIlGHOL6LA+ZwKck6oh6dvMnhbNygFMiIYF8HKjelYIwLr5hgZpstjDAj/xAhK1jA4O4+KWrODsMfHVMYcLD8zGRpNRRbnoi4yJK9vZDCaxERItP8Kj42xMNdVZucmIaxatw7oTqMiVL18Eew9xtbNLKd11soyAyRmhM4rZ0SaIhlqPgGSNeIVJBYbMaq5jstwrI2LmCh/0Y3YRoERWy/HopCs66M0bY3Pm2b5zORzmI+UABwjrBnxzmDZqpcYdJ5/7kCWNc4lhRSEJGaR6ZkJPyX4IKZQqZnxJG5xcVuBvcp4jSfSNkKIC2otDwhyMobSWIwKaXdNgWBjAlfmMDszRmMGvDpkJsgsOYS8G8okTlPQxAgKai7lXeE+VJUGMcr3DDEWMvKiLWTVcSqp4ikdb040WZgbkYeTGpthrfk728vs65JJvXCCIO0fqUqpNPDwuqMDsi09xkne0xPkw7QehYSqv2eyZPZOZNpemhyyY6wrueamUZU4svChH2Dhb0k9U9zh6riEOKbseZJHaGZCp2RatnGNIWL6HljPzzzdOlvqG+9IbfsR+mf/ony69YQNMCWGH0sTYouSjGuQN4qxdqAojYuh21CkVNDTgnJmnl6CEGwzpwwqXJg1H0Rg6EZR7+uC7JFEHEylgWBPiOTgbTRj9xjjo8w8U7LsPzIQWBt0JYIbSuIk8JOYkWoJ2oxmjW8mhXqvPcaHAsA6rrbmx6S+luTs11M2fuPKIXbyXfarSe+5woPBMGv4Q4RP0gBnlMTI5nUl5oqmtFOyt3gjOWDZZak/DSP4xs3iezROoHUvcTGGwLSNxDF4nyXk9VEQ3ondo9Woj0m4kZQA1z99/tRt3aCk2oFT2WXbopiMDa0X8zGijqcc622VUQxldh/T+OsFzA45d4J1FmmzVDCD9HXmTYe8KJVdu/4oeQeXSneexzp1IYKmmrL8iysC5zhQea7QeeFzhCg7kJksL4+anCApfhCeDAdtypT0Cy/vnVhnw0j5XDl1b3SMPGoSh0GFRis599mi2pojQjb8Mca+8H/K8cn5gX4xhbxszYKN0OSC1sav8fDrIDspvWKNayNIl968tXPJiaRRoeBUmpi5fNF2bCdSTpsGU8nAko1Z7ekdwJUQ33RWnkmWgIwAbFfmXZHOMpfRwTipkinkUUh2W52TLE0xpM694ifBedadSXYQZIL0eUWp47SJkQRqUlIoonjSkHJPeNFmCJxWvYxLBm1gavG4YUjWCfpBntskz5XyiLyuWrarVG5LvmFOEyg6gan1vZqHERunpPLigcNcAhHN08Ts9M0gz/xbDL0BxHgtxpxSbKMfeJ/n8zlpuqvUEHACFm1GyLitZONinB9VPmXo3BosT1l6bCO17Dw8Pf1d6LNehIziZqdjRhYWJNvlG2r8hN8toYCclTv2fc9jV0V4uXJCqq8dfB+PjWUtKVmeVxH0GVICyL0oeSdSV4c8AndqJW+bQXOildwYAi883BCz4yypIpC9R+q8JAzbGwe0yXJFRmxrgDYOwpfTpjiWjB0xDOWsfEmokJb6PZli4YCQiD0y8uucjLpjKNdCVi5qjtekjzWkOGkOGct5F8REyeraXNmGWowCFdFz8p2237VkcCPLEgAEBzQsiikqm8fMJbSPKfGTOSB91rqtGxRbiGliVKug800JpMrs5zFJM+AAJCBVBSGxBdxNABHnZgRA6QLtbOqFjApZSpZhS0tHBkpDoVyWsFRV0cR5XgpFD5Dk+YSoFfNFbhkSSJzHRH6Q/wcgSIJ+qWPnSyNFyM0VBYEQxc5Yya3aBMSFclJUBuihpFX9omb3Py8SaCPXOuXJAAQ3xGx+lL0EtClkQo4hj62HH2TBokQZAXITZ5trO2+x84Wtrw1ebEVFYeTm7BaK8lkZwpSbQFaUKCnL3yN/abjxcDHBDxFx7vJ0i4vGAILeVFU6DQCoUZq5EHPUOoWItOwEYTHulI4jcnOijUAeXdnCajtymyHPjcqs6bEbrjnVNuodYmMNc2N2hGOnzUi9huZYuB4gzUlTF+MxjTbIWUFuJrs1qXKVjhm28bItvA1DHYwnYPyNrQ45S8c8kebcmMqBG9GUu7GQaS2Ub/5eMn/l6g35maFB+v+23GbTOUB33yE7VPOqL6GF3oO7WWOpx50RLNvAdE0hJFvisx1T7Qo/KUGa1+HkSLKA3mt0pDNHQZMnoKK8gXBKlk+KahhXrShooHyzMgrKvhx6fwXpJlQfK5vQskvPm0hC8eFIM6UO9HkcwU1iQeF6SS1mPOH7o0hNUtVnNieDfe/0u2SooV0bTje9JAi7jW2g92ERA7jyuTogS8YjCyFX32dS7x/ZrOmGkvS9T8p7mbnfmmSaKeaNDCMUPo01FTPhhShwNOpDUVjUPn8PqR+PE2H9LD18HCVqIwj6y8yyiUoFrTaFp7y+LnkK5HDz9K/d27pBAZdddGxnNtbG89ArWBbXmJuHpOMeJiFWcUVqL1xOcpYrK7qR7OJNKGRPnQ3ajFRQDw83qdmSyu6EfCvkMevgpUECwCQmN7XPx5atoQFAzYVi6+XLrouw76MgQQpFMuSiSIAQyXimImJlgev7Jh3tpAqyU1DVkMl0ARReTIXMa7HDYQcg0bHdk0CzKo/Um5EbIpLOmq1JkucQMqtbBx0f+UK6dAQockJBG4nWI5tAQXk+T2ggjbMCQBuimfpnxu+RN6eo0DOhkz/bFaLELnhbTLlAsdAb4Oyx2RzNSKGA7LiNFJoUuVDlSQ7A05tI3q0b8W1u9Q4gS23NjdlJI2NcFtYmidsG6EggYO8y0fxYaN4TlTuAKl5C5lzMlTs8aTjg1kINyhIojnJNOgdULIZY9pwmA7ZdnJ03HT8ByHEBTCQjskabNfNCcvpYk1JrThe3OjayxolZdpI2RjbOyCSeETwMoF0xK8zXWaNKI2vUEoMrLm7Jdr5zAwlx7dVRnLkLU68OtV2l5F0dYdZe1CAnVBSR3VoRkFEdCixhfyRfTBEPlHtj/n4nFgQKyCPYxDoOUsTWTSk3wm5K4lkAwMa0cuss96TiqTL/C8oOvtIf21g5CUeK4Moiz7rBDWXcnZt0bTKELxMLyg4U7pYejl9PQqZNCZbdJJtbysikoWTZ5C5RzisCl3tpPuezcbk0PjOuCxFgaiBtIqgfBbW00SDFTP7O3xNT5el3G6Eg3bxe61h31kwoMol1n8dAADQ3Tb9rMck0wZpX3cCaYIEVaXu6dVs2KBYOl4Y1RjXbcsNM3pRY3Kk9IWmjQknlxOOE0HlMFQCIZXB1NCF0FTAgc0ES+6xmcUE616SLnswT5aR7bTjQAxiFQBa8klOTfGlppe6JukinxssX3EHniGo77L3ckBmA10U3AogqEyYgOhkPkdcbgn4BSVEG29GwzgRpxYjMCK4CIpBMYqeBW0Ys9kMSTgpRPq5Uy+jArxNoDWBKiI4Ql0JU80OCm4QXkhoPNABXSVOm5YsZnGRnZESFPXgi0HpCgkCCtFJ2f3KIvoyhqhjl5h0c/JyjwxAiHIBqiMBKODapcvL3PiJsVYi1NJeeo4SXVcq3CQkYgLGZjl1Pt7RIJac2L7djsN3amGZKjpkluncwYzAkBi9VeUL6WFLpry7e7ArxE4Du4AgYOd+YwZwXaESoM6s2TMPMO4WoBCwa58JqNqoQ0inl4827Ou/AXXtcAVRX4pvSNnmklDkijopyyW6cDgXlYbmhkiErVVVg7BDkmDWUkJyTjBQ9J9kTxaz7UwI1TV6QbAQkBnkFZrf3aggNVTNzOKu2Ue6ULhjWqNkYCbq4mlRfx8SCQkWY7TkSQMMoRHIz9lJ0lE4Q/av6ANeqJ4ddt0TwfUCqa5ka6L3JvrMmOxaZcTw2ZjfkQO7TM1K8LnK2Ec0I62RNr54D5fe5AKTaNmcOScCpXFwJGhW9cFBcHzIxdV4uJLA23qxkWHZOuSRcxqD28/wd1lMxRaCrso8NoChRSPJ9rQUV9uup/C4KKiNNWEQ2CdTYBqfnWR7MpdFWRE4aKeQRjKGVFkwp92UGJ0E9SK/h7EHEXNxjE4s3UuXBhytgGIRQ3tRCDh9Uwda1SNstwk57jLdjqiuzm6DZLfaLPizw4OAAAPDe//UzJ3wkm/piqIODA+zt7d3aF9X5PUcA4NnYpaA6FKI633pZmLJxjj7AHCQdgKGMLrKRki2keTTiy7xaeSgcopjlWSKxLaYhCppgOzUjtx71xfJ+0cjCuZ5kRt8Pwh9pZr9ni3TlwculjCfW4zF0hb3L4Yk0BYktAIBll3eLRnKdz9QzKqNjGe4aQYysSZkU7TAZsi0YilyCSHaJNLtB7x8VCbI1jjZSS1HjA9RrxmTHQCG86piIncsGe6xmhMIrUddO89hQwidCAha18CRmCyclbZJ6bTJtHHcSTbUWjQnOFZI/tx5MYg5ZrWI2RWOHjJggiWLPa0BnmnMUFIl2jKzGROBMtjd5so0Fw1YlSDQhfz5EKD5V0KbPfFRsHN4Kn8WNCW5QH6YZQpA5NLWH70Mh5CbKdvbcAiB5DLRXnzvXChJdiW08syQeQxsOi21QKoI0Gdo4KQk2W0doWCCNQdRQtY6Coo6m2lquI92MwpBCG8ma/04eF6XsdSL3gVGRH58RSVoP4KOVXKOthpnCC5HcUv5iFN+e6zelWdGNR6pMESvovx8Sph0vBoVsaiadODyD6eRt2aBcvHgRH/nIR/DiF78YDz/8MHZ3d0/6kL6oa39/H/fcc88X3blmZhwcHODixYu3/rVNgWKwLFCs7o0z4l1W2FC2Y3cz2XUts+5exxbt8QBAu/lkYydzjjVTtYkF6epapK1O+BlJb3A1FCHQHaSOizCMYkxmLqusHh/jLA8ncVngLWivEok0QsrHZo+ntakdZKdnjq0YRsyt/9GpF8pM1QLv5HmaujRU82DDppZR62F/jO9DABC0AWkbec75uCsjXC4rlsAs759Ifg6fPyMaJpj7rcidPYBG0RnOo4U8ljAJ54zATzFmgiScy0gA1OgsQ/vMoHByLshhp4afcGyxcTYGTtIICFcKualgB0R4WXRTsXooDskyIkmtIMikY27z0cgGb8x5RJDNNpWTYjYDc8kyHCERskrIxg7EOiprfPZMgRplimongSp3DF0hc2+dxJE8dpU8V0zZCVbOCReOoiEoRDoaStqsElJbKedPlD00RFGbjuqh4wloKlWM6shdF3xUTgEbJQ6zcExIZfiZN2aj3cqDtreOOyeve8BiXXS6gHECLdVBVtFHIanXspkJUTLUtpZ5ZOr6Cb6thMqg7upuSnAjZ/Qko/yeMC2ffttxWzYozjncfffdAIDd3d0vqkXzuVy3+7l+z3veg5/92Z/F+9//fjz66KN4xzvegde+9rX537//+78fv/zLv3zsd175ylfif/2v/5X/PgwD3vjGN+I//+f/jPV6jb/5N/8mfvEXfxHPe97zPq9jYl2IQDP1mDmwamZHdu01Oavukigl2TUlaU7Ewp2FHzIL9xN4N5RF3RQ3MUkT0DV57GLmZIIE1EBcgA5X4qGSVJkzs72HOeFaMxXseFoU3xR9L57gDpUI6up8A+XspwG5KVpytTYCWIVjCAVQGjxu6iKvdpT5NRxinssTzxoP50DTVEIKXWl0MIzZwj7LmtdDabbCILtQtfyWz0MIwui0qfHiymtSUtsxmzqCZgReyU9KpRmCOJhiFEQqdQ2cIl7c6WjAJONx+Lyut2erLLk2Jwub34UuSKwjELN7EEGCIAGsox9ZcE1BI/w73yc1lkzF3I1kgQcpN05tB44Zv+m4iaGmnYlBo/hjsUqa60MZn5nhGTGbjyQA4Y4A2iymBFopktVUgpiQGFyyI7ghwOexLIQb5OXa4tqrfUCSpOTKye/XXkm6OgZRJ2kj4spYvRZvpyw1l9G1KJSEu+NWk5DsLSmY+ZhxIR8eyejxiZ5DQGm0nVdbA1eOp6lBp/cERRnGY6TwXMad6ZriqwJpnskTEAAf5Ls897NxUUZ8VBGq9PRlxidLBd/Upm5hHR0d4WUvexne8pa3fNbHfOu3fiseffTR/Oed73znsX9/wxvegHe84x349V//dfze7/0eDg8P8W3f9m2IzzQbxWbfDlm9ZV4lMj6okHY65RKl3HhY88I24waygVKed5t5GnPOeHliGrEcgxOeBgSCpn7Mviyk8vVcxu6va22G6iI9Nqt8InBUKFmzc9gIo+o7ccyQUIms1DTIRD1FSHh3C7y1kHDOZSdNizZW8l8xuYOnbH+fZZ3M4L4vqIi+ZzaVgo2fNLlcmogycsqqIWu8dETGzKBuFkqZxKjOHRwJijP3oNHxU0Z8ZmnNZnbFy65Y42txranPylHJCdBmp668CO7qZ3a9Pctlu+J5qrF5IMkD5LpOqgA0pYmV+U7Bl9wt38csZvCDoiVmZGZqHJLmRsY18v3J/iFEmvPlsnmnjZvAyIpIeXzMpFI3Bvi1eIv4PojreFshNTpC1cdktKey/DBDPl2W+ifjCiXkuArSbJ1MfA0J7nCUhsgIuG2dv9MiokjH0FVRaLr82tCNDGkWD5wTT6K2yRk6bJEJUwCv1uCDQ3m+oDk62tQjRDEe7AdBUDV7R4j3KYerUuVVYRdzozIfNdr9wsWSfeSi8A9psjyi49fBU9VtiaBsalOfTz3wwAN44IEHPudj2rbF+fPnn/Tfbt68if/wH/4DfvVXfxXf9E3fBAD4j//xP+Kee+7Bf/tv/w3f8i3f8rSPhWsnpMAnftHbBmlRy44LgF+N0pwY3Gps+V4dWI2NH1nSiuekTBvXNLUgI/OGw6DetpEbr2br0OFaFuNlV3grTxaMp/4eYtRWZMpU6eOZi1JIfUropjZXbS0N0BTk97tmxhOps8yY20rTram8RlKS4lEPs7M/9vra3DglpLKRUk02bQTcyoO4ZAthChIJYCqexMAwFKXNpPN7NbuSB5Gc+zkfREdhOQzRXGqToF+0HoTAuS3KK6/PbW6yWWUCiBKt8XBcl12wumcfU1fc4jIrAQCiZlTirjmFwgFuLOckefHsMEWjqCwh3kTZh8SUhCX+Yk6Kz/9VBNFyxASJ0X9WRAeWYmzIo6I5qZbvWuw8XGhgYbLyO9pgm2N24+DTJI9J9jxJOEK5adBm0UkTIudBHYdNqTPL6uGqLsoeB71u1CzURn1TlHFRduI1ny/NibMGfx5nAcCUd/CCVuafmYEhKV9oGOTfvVNivAP1PXjdy2OYwf0At7stajRDXW0sBJRrz9AT5d+Yz0+sS5MKQDlABJNlPZPQwNsWQWnbFm9605vQticnt/tSqS+lc/3ud78bd955J170ohfh7/7dv4vLly/nf3v/+9+PaZrw6le/Ov/s4sWLeMlLXoL3vve9T/p8wzBgf3//2B8AoDHKzSgpOmKkPt0duT7IXLpXd9SU1LmxKnECNmaIRc6YERLzC/FKUhtCdjmVXV0sTYepfGxHpQ1Fxr6Z8wJrHiYUIni1ysiAHRtvLaRhMAQBwpWx3V1GSkwdpLs/axS4a5QUOkhWkSkZxik3JxhG2fHZcdvoh0gaifUgo6tJ/72uZKe9HnJeT24IrFEza29FQvLiaGiU3ux52Ql03jZybtW0Tt5jA95eCMpjozX7Ny/ERiinxq2VN1R7bTD1/BpPhRnucC25LvPMKCVXfoZy6BaWuUsDmKl4BMlwM1TFTTLeMSdUU3aYX4p5L+XndbNRjRJws5usPUxtJeQXUEY8ACz4VFKRKfug2LioGBuKuaO9B0tDN/LrsRR7G6tBxxjMBc2yddi4HyweJTSXCOfmyZdID42t4DlqR+Uc5nNqrxvtPSjPhLk0I/b9CFHQ0n4sDcSM2wZDVoJ8r6muy/d0nIAQRM2YGOQdaLEoDYwZO84UQXb/MFdk4wLZZ21+WjK6U5uLxhe7iqdZt3WD8uCDD35JLJonXV8q5/qBBx7Af/pP/wn/43/8D/yrf/Wv8L73vQ9/42/8DQyDzPsvXbqEpmlw+vTpY79311134dKlS0/6nD/1Uz+Fvb29/Oeee+4BgOxpgQRpLvRntB7hBnFsdP1YEBGzmJ4tTBRjIcLWvpDibEEN8VigoGV75CA7G194/X9zRtXMFzpcZXdUqHulyRK58qDlUp7YO1Fy2JjFkAU7HnNXdVRGQ+aqmgP75IZHB0fyfP0gTYi5sm4tBIEIUeSPtpsz2/1YbrQ5JK0ulvsCufvy+uYbM4fR1+usGKIpgEdpclibtnweF8JBSTtbeUREgzYSzArX14XgPAb1lNHGR8+7LWZsfB8nZEVUDmmr1bFVWRQzAmaL5AmVIBcortSVejlp9Ae00SgIBs98nVDQD+WO5PIl0ydZNAghIyXZVwPluYEZ0pJKs2R/N0Ks2DFAs9hmY4lU7CnM6BKkRpRe+Cyp8TPEA8dQLpqEb5TjNByKbJqQNx2spN3cfDjIaMh8ULSZypuUJylzSwczkkZdYPZdys1G5bMqLd8/5oibyorJoiEASTLuWtCyEzKtGiyyI2QjN+N/GeqnBFrMPucct5IPGmAn8u9kYbDxCY/5HLUZ8WxqU1qve93r8v+/5CUvwSte8Qrcd999+K3f+i1813d912f9vewp8CT1Ez/xE/jRH/3R/HdTRJlHAnEqxDWTCAIC8+rCZbboZCMW70T6CABNLbLGpPk9apRlrq68aJGW6u8Ry43FSKZZBmoR7IbEdDOXSfPvMAlx1eTfJRsN6Q2Pj1agRacjFAc4zoZyspCPWR2TxzW2sIwTOKpaKARguSw8EAtA7AWi5q1FQSms6QLkuO08VR68vQCtNENnnnps4yu72XZtGeGYVfjOFozQyh5ZTcRNnXkCWW7cj8X+vq7y7hzqvyKZKWMe/zCpf4t6umRCszWucOVzUw5MITNW4PTki9itKFlIFYkAVCqr+TGrIIZkUMmwpgz7PmbVjSz+s6RgZpjTs8iHeeZMrc2O9iviUp2Q3WMNNQGy4sfKUtZNEWTOtmJeifIZKDJi/A/YiCY/ERdOiX0+Om4FdGSRDSeRHyNjmzLWcKM2qY2MLrlV7oqqeOCAsNOCQkJ1OBYlEUFcpw05Y0ZaVPApibW8OY+rY7PlPQHSL5J+zyy1mGqxDOC+B21vyffeFGWKhrCOJo/xRbRJobqW76crqjnUpVGkpPyfxqFaa+aPQ45ASc8gpHXToGxqU5+lLly4gPvuuw8f/ehHAQDnz5/HOI64fv36MRTl8uXL+Lqv+7onfY62bZ8ceZqTKfXGkHdOerPk5DNcnE3QtEjNu7JiQKWJ5q+S5b2z5ySTCttNzEh0mUjqQfoz1hEIhZhvotz3sjB7QUvyjq1tREkToyYQd1nuCECORWW0RhjlusoNV866SaJy4b4vTVuezev7M2XCjLxqTQGAYhk/loWBjAcCFB+VKUgztbXMYzCYaZvJozU7CDHm90PATB2Vih24qpoYMkqCmevp55yWqsjhkGF6rhzQ1WUkoJ8Rw38mQmLQ+nQc9TmJqg8D3CKprFj4IAiKOGhGGAVpALlySEigqCoes663QMFKYRIrVt8TT9nQKxNdZ0WBwY1awDuFVoTSIbk9GqNBhLzzzzJkG0PZWIYZCCIhRoK4tZrUeH6eSRouIzoDOh4y8m1kuCPhGLGZZmrDQlMqHChDyoI44pbvrDR15D3S6GW8l1Im4XJT5ViU7HJLamzpfTZoY1fn766NUvPpnQIoBLm2jb9lDf5o8mjlj617mIklVZWMX8375Pqq3AvUwyU1PkcYuJEzAiW+M+L+HTuP0D59gvdtO+LZ1Ka+0HX16lU8/PDDuHDhAgDg5S9/Oeq6xrve9a78mEcffRR/+Id/+FkblM9aCTkiISsznFNTJrlpuDHILl09RCQ9W3dDlUPSeAfqp+y1YSMVg3EBZPfRbJrGCkersoe7Rk3BBIU5hjRkSNrJzqnSZsIcLLeXxx4DtYhnI+vpCIf7IXt45LJRlDUbOhqirpPGwTxESF1olcMAQG70RhxWkiFbho9B0ZVC81MQhGPQAEBrnIyjYxC4jn+yc6/ybnjZ5vfDbZ2hbW4rURIZ/6auFD3xuSmTDCpRNXCnoymVh5OhZKrMyM6h5mw7zRoS+2PjnvXJ+aBYSjE7Qmodpu1K7OlNGqyu0cj5OA5xIeTX6lA+Mz9E+TMmcZqeyZQt6dj3AW4IovhJUAUIjmW8OB0phM5nhAaJhahJELv9oOdfRxFuUMt4S7uvRc5vQXjCESEdWUmjgpSQFjXCdoO4bMQRfOaT4kZ5TkRRdmXfEkDRA21CmlpHu0qE9bPPX6NRnI1ygNyIUFQVTBTHYbdSz5JVL2nd4yQNifKaMkIaI3gYwOMEqiq4M6fLd21vuzTh4wRerUFHa/BaFD/c90IUj2UTAyLwtevgEMDKjaNJz6feV7L8PErobVSXb6DwhJ5ubRCUTX3J1OHhIT72sY/lv3/84x/HBz/4QZw5cwZnzpzBgw8+iO/+7u/GhQsX8IlPfAL/6B/9I5w7dw7f+Z3fCQDY29vDD/7gD+LHfuzHcPbsWZw5cwZvfOMb8dKXvjSrep5uUUogxEz6y4ZOMUoKKbMQPbcXymGwhYqVMyJwsjsa8hiGnZOGRp1LTZ4ssQrFcl5eX0zAsmGc7dgdwHDZIdKQDPYO2F4WJEG5IcccYSufGxfUFdCPcuMLQVCMpi7W88ZVMbTHiHczRAdVlWWQ9jo0J63O/mQinwUIhgAKszwdQ1pCALwQXC1rxAzs2EZCY5BjN9JgSIWnUHshHHsHQCXOw1T8TexPJr3qDXwQaJ/bOjdXEpKnAYO1jMMY2lSRRFBkRYv3WUpLxis4oXKjRG3YlNH8SgCoRFeUZpa5w4Za2O+HhFR7Ick6wNyTLYw0ajMRl5W8/wSQM9WONDAUOYe0smaM2cLnhyRNlDnJ6vVpmWCS0eXghiDZP9r8u7EoeZKZl6l3iRFgXWI4dW2WHLEqIyVMkJGsKs8ocvneAvla56ZFWtbaePCM++LyMQCQNOwxlGsqceYsZS5aShKLAZRR4GoQ7pny0WhrKdeLkeC91zHmsoyOlTwrJ4RBXVPijdTynmKSpsR7UFUJ6ZbKvcuM+9zEGckyRExCIDVE8BlY+GwalE19ydQf/MEf4Bu/8Rvz340b8vrXvx5vfetb8aEPfQi/8iu/ghs3buDChQv4xm/8Rrz97W/Hzs5O/p1//a//Naqqwvd8z/dko7a3ve1t8P4ZcgJ08TtGMoszBYASYzMiYnHolrMUdayTODcnucx8aT4SirHwP3R+Lk1MzGOU1CoJ1+vxmVTWmgjvwAjFQ0Iln5lwW/kyhrJmI4f3VceaiUzKNeM3M2KbO9DO0lQzd8OLtDinAzsqCcohArW+vjrqAsgjJZgEVEc0ZOc283FU2cFeRjT23s29NbJEChjxN84ycvJNmkszaJ9zTKAhIi1rpK0W1PvsafOk3KXc5OgCE1maF9uFgoDpyTlPt6JS40BO8nX0gKSxaD18DDJ+qYUXQUmCW92oIyFPYA0vBSCKG3BGLDhKs5GcOpJakKk2FznR2IjNxnuwJGTj/ugOPqMgQLFjV7TREDdSjgmcZLOZ+6kbY+H+zN2drUE0fox3iE4bHAhHSEIBIa9vpoMp5ON2q6modNQC3o4tVVTya2aKnGO+K1wVRVoeTybQ1Au6EYJ49vjSOFskRP7O2ZjSkRBkbWRqKKc12UBGMWkKwEL5X5MgkpbEbLlJfoiYdupj78cQITeJMePTrdtyxPOLv/iLuP/++9F1HV7+8pfjd3/3d0/6kG67es973oPXvOY1uHjxIogIv/Ebv3Hs35kZDz74IC5evIjFYoFXvepV+PCHP3zsMcMw4Ed+5Edw7tw5bG1t4du//dvxqU996ha+i2dWr3rVq0Tn/4Q/b3vb27BYLPDbv/3buHz5MsZxxCc/+Um87W1vy6obq67r8Au/8Au4evUqVqsVfvM3f/MzHvN0ipsKadmKGZTdhBKyHJVrX/Jb6koyPRRxMNkhmwJHZ9olXdpuwELec6tRs3UaMf7KHBIdYajk0vWjoDX99JnMf0DGJL0ayRmZV83T2GbaU4GeEQJQ16ClSm9NYaRcGDLbeEU3srqHSBQ1w5gRo3zjVGMzUyAcQ3Jy0yIW/TyM8t4BUT0s2xKA1tSSKaINmyl8MinVrMLt5q6mcojaHOl4iMaQP0/LV4GnTFg0vg9NAf5olB1/V5UkWUAaLB33wAnaNQ8TFBO/lBsWMfg7uVt3bDQjx7w/2NLH5fiEawJFn2RkYahZqsRgjVgQEPmjWS2m3tHmIqMS2qSZyRcFlnOhjY/XkY0FuCaztQeUiG2cE85Gb9YozzkdwslKcKspNyc5kzE3ioSkrr6pVmt7Ls2jffdotrhnvgigm4dYoivm31k9Xj+IsRkMgTFOjI0DrTe1a2AK+l1J4nMSI1BV8r3cWsxQ0rIZmZPFDc3MWUExSohm9qFhbdSecLxEWZ4v42g+ZpZojr+ZAzTpe3sGI57brkF5+9vfjje84Q34yZ/8SXzgAx/A13/91+OBBx7AQw89dNKHdlvVU7mq/szP/Ax+7ud+Dm95y1vwvve9D+fPn8c3f/M356BG4Fl0Vf0SLM47SPEwIVvYPMliNbupJbOwN1v5NFvMKiXkzW4cx7gsLBJYXkrqqKEU+SZpi2RUlET5K2nZloVRvT6OmUIB4KYWU7muKjvVGVKSDaGYi5fL7taMG5OKPbcuGgCyUsc4LHlBZlUEqQEcr3rw/kFuMLKviTUymk+Sw9Jsx9qP0tzM/U504cjKkcRFum0Lidn7c7npUhSPGTH3UsRJM1u4Lu/fzl0eI6j/Ces4jIxzYvJVfQ22BklHQdmh9xlE1n8hKi/0VqRQvoOkobOgI2ZPn5stkw9jhn5YEwHk0YwL5qEiz2GJz9Ik4Nio0j6zVJl0mUpzkHBs9z7PhbGQP6TZiKZ2+bPIHiZUjj17wCiKQ1H8SSxj6FjNfYSyvb1+ns4da37s+51VQEB2kp2naZeIAEEC2aIvbMQZE6htQU0D7lrZkNhmwsjqIYqix+zxgYJozholOF/CNLNfio6DAGmCmEH9KCqkaGPQogay8R/N/vtkpOfPVrfdiOfnfu7n8IM/+IP4O3/n7wAAfv7nfx6//du/jbe+9a34qZ/6qRM+utunPperKjPj53/+5/GTP/mTWV77y7/8y7jrrrvwa7/2a/ihH/qhZ9VV9UupjBUfwlByVjyJcmOK2RPFyHfsPRAFRk29DG/ZiG22TRynrBDgrgY4yII2CCISEZG4AphAIRSCpbmgRujNKqi1t0fqGE7Jd4gRXMmsHRW0GZGbZnA1XIhiPBcHkE+ANwO6BLAH17VklDgHhB5wCZQCEEcJLHQEoAZHJwoDRIG/XQDHAZwIREEddcciqdSZOHcEOupBkzq8Tgy0NdAQOGrk/NEAXjRIS3WNTVGSYYXtqZ4yFdhV4Ojh+0OkaiGNSxrl+KM2SmksfJ+Y5LzxKLJgyO43uRqp9XApwVEAwgS4KAnGgYr5mlBZlGMStdmpwbWD0xBFJsljIsfyWn1AmIZj19OtLBcZqAjJeBbqXeJScWa1n2UPkwnZGt/GPSYBni/s7KTR8D2DwErIpTKuiRqg6KAdBeecH1vATXacxyQM8VgJCQjSSJHySuZyYkoi3zWOCYD8mqaII+aiyMnHpAZ1c26QM8KufodnwpU56mRNmmMGhoS0dJJpA3sD5fiypNqM4qpCRCdAFT9VIb4aqKMNGwEZ3ZARaCjOszayqitQrAVBSbrhiNLQmNMsEoMWOiYNs5Fn5pn4Y+d+ThZO3iF8Fp+XJ6vbqkEZxxHvf//78eM//uPHfv7qV7/6szp5buqZ18c//nFcunTpmGNq27b4hm/4Brz3ve/FD/3QDz2lq+qmQXnyMgTqd//3vz7hI/kiqqsnfQAnVwcHB9jb27v1LzxvKox/ACH1kuNjP7NdOTuCHxLcEJBQCYHWm9RYRiEOTpQ5zDo+QR5pJO/gYsx8Dfk55ecGZqMhZ6+vYxlPQONkPGQjGOWzsHqYmN9JaqvZ2IMAJ6gNewlzNKKqC0HQQyD/DB6ycE9R1SysmURlBFjd6AXRa+ss4QegZocebG6xzHkTwjPESPK5ANFEa0CmjX/Nm8W7HFCZy1FxiE5RGj/9fChEcFsjbS3EauDgCJhGQVqaukRyJM6vKRw1yvJmM8ZjEn6SZTFlhMyJL02iWQP4FHVbNShXrlxBjBF33XXXsZ9/LifPTT3zsnP5ZOf5k5/8ZH7MM3VV3ZQ0cR/5yEfw4he/GA8//PBtnQ59O5QZ432xnWtmxsHBAS5evHjLX9uvI3yj6hEnXhei0nAl3yZyJk0SlfGJixLEZw1GbBy4Atyo45e5YqpymdiaGuFexM4XhYzuzimxAAJLj2oV86iHIqllPmDGbj7GnJvDtUdUBQ9XToIKg8h0aTTlTir8DGBmjz/jThH0d0IerYpE3EaoMrKCehWZTxExi0Iooy+CPDh+gnOwVUYiHCiOoCNV6kwBPAziVRLVq2drUUjxlQecRjuslUTbD6DtqmRGaYhmtu2vKvE0YpPkq19KDfB6DQoRqatBdYXUefBCSLF+iDp20s/cfG70/9kRqqOnT5K9rRoUqycy3z+Xk+emPv/6fM7z5rP43OWcw9133w0A2N3d/aJaNJ/L9cV4rk8EOdGKrYejMuIBtHnQHf+cZTBHSWTXLs2Li4yUGImEVJvTgh0BOQ2XM7cBgNrkCxnWFD5Wfq3cNyL4dcoLonEhjHBrxPDYes2NEXdbK9dP2aMGQHaxBbN4D9UebgxIGUEo4YCCisjzzzlFMq0h4YPVsqBnwnhWCKnZ22pUVZGOhxwE7bG4iZSQOjH+o/Wgyd0aAQGozUBVFG4m3Z+rc2IUmbD59QDSjIQRPI7Z+j6T5Y1ca8jOOIHWaieg/DNTUnGtCc7kQIOFKCY95+6LV8Vz7tw5eO8/Y4d++fLlz9jtb+rzL0vz/Vznee6q+tkes6lNberZqadS3X3/93+/LICzP1/zNV9z7DHPlupORgwlTyerNWwBNMKqKnLcmOD7hGodM+/CFDm+T6hWsYxC9PlcH3Ucg2xRL8+N3HCIYsdp6GAhurpRCLb233x8euyp9Tkt3JKCXR/gpihqFCWsCnLjZwGNyKF9qSmjnew4qwT3Y+RhMzIbwrGmJztEe6dBirPk4knSjikkDYwcQVEzf9ZTJtdmL6GqAmpR59H2Uv47jJmETv0o7saKjIgZYltIsXNFURDJPh8eSmyEmQ/mKIYoSM8wAvuHwl0bg6SrM2eSc2rNwRqKnmjDOcljnm7dVg1K0zR4+ctffszJEwDe9a53PXMnz0191rr//vtx/vz5Y+d5HEf8zu/8Tj7Pz6qr6qY2tanPWU+lugOAb/3Wb8Wjjz6a/7zzne889u/PlupOHH1V0qtuqIDwDtzERX0zC+/LWThRTLtYmwtze3WDKDzMeC0HDVpjoPyGOCPNZtmw5r4YqiLOs6qyUR8WCx3MMmU3S2SeZcOkpkLqKqRlMyO6FhNDiilzYszNmRWJMTTm2Hgmpw0XVV62qLc+xqzvdcQFJdfCjisrnCpwJ463zoIniYQf4kgSiVUKT6bQiUl+3g8ahqlkVwvWtNRx9eUpnke+oC+G8DS15vYoSd5yuwDxsFHVmamwjIckScYWMlrQtKdTt92I50d/9Efxfd/3fXjFK16Br/3ar8Uv/dIv4aGHHsIP//APn/Sh3Vb1uVxV7733XrzhDW/Am9/8ZrzwhS/EC1/4Qrz5zW/GcrnE937v9wJ4dl1Vv9SqbVu86U1v+qJPh34u1BfLuf5cqjurtm0z+vnEejZVd+JkSyUpGFA5rKg4zH5epMhCbqUa6vGRwHXhlJjUN0uBtenImT6moDHbfEdIFeCzCkoXemt6IsFFGTNkDow2OZUZ9ykBV9CV0jhke36GNAzaFGUyrSmBSIizjKJSIlKeSRTuiYUPsoOottJxWX/qqqLGcS7Lr8X2XhoRbr02Z8V/hCunUQeD8GJszDROYDUPzJEWlk+VpEkBK7ek78GTNC1o6twAUeNkTBSCKOSmScb1RCCKYM+CvlSVEHnV6I5rCAJkXkwzDmxWcQHqaE2g6Wlfardfg/K6170OV69exT/7Z/8Mjz76KF7ykpfgne98J+67776TPrTbqj6Xq+rb3vY2/IN/8A+wXq/x9/7e38P169fxyle+Ev/1v/7XL4yr6pdYtW2LBx988KQP40uivpTO9bvf/W7ceeedOHXqFL7hG74B/+Jf/AvceeedAPB5qe6GYcAwFF/y/f398o9PZrYVGdxR5lViNuqQ0c3xhx9rcCDNjJuSKD1qIV44fVyy0EjGzA8EkDZB1DvZ3l7U7ZlEi4icsZMaX3gpY8wjGngCJwdCOsYb4cqBiMHWmKhCB5D+J8FnxIejjozs/RC0kSOR8vPc10YboElOApNTYilJMrLmbEkYYyreKGHmR5QN/Zy85qTZVHHeiAknUFxzUUZM3gnXZObWnBU/5MBjLyor50EVZ2M3Nida72RcpAgMNVWWVRNYPq+s7CoIFUEM/p5uEZ+EkH5Tm9rUpjb1eRUR4R3veAde+9rX5p+9/e1vx/b2Nu677z58/OMfxz/+x/8YIQS8//3vR9u2+LVf+zX8wA/8wLGGAxCLhvvvvx//7t/9u894nQcffBD/9J/+08/4+f/5qjehqro8oqCkJm3MiMuq8EGckiWjmHNR1MU2mboDmaOQvJBX3Sg5OkkRBfkdPsYxyWRSJWUC0hgkHZMAyPJWe03J9GGw8R8iozocsx+KmeexpzKCaSpRKBFlbxRKDOpDSQn3hGS/F4XLkktdX605yl4qkRG2G2mSpqTvyYmiRxuguKzz+aE4Cw+0AMkw6/aSBhQerUDbWzKayQaM5XGckhivadBftsM3iXZdZyfodHgEt70FVBVInWh5nEBbC/DhEahtxXgxJTGF214gbXeIS2msQueLKd7M9wUETGnA7737n+LmzZtPSVy/7RCUTW1qU5va1PF63etel///JS95CV7xilfgvvvuw2/91m9ls8Unq8+luvuJn/iJjKwCRbJt/BAAMhJxQHQOlCSHJbY+j2QcF28UQJuWKBazFDgHWKatSozbPMmirZJb9jJyMZIsa64Lq4EaafKvNUAUEsJWNXst3c1XyP8OooKezFyBxfPEiYGfpR97Ko6vjoBJ0RYlgVJIcFPMSEpaVDmTx+z9kVDM5QCkxuf8ndSoqZmqlSgGIAH+SMwUcyNEhbDrPMGtJLCT1duEV31xgk5JCK79IGOaupbRjHqYoGrFL6XvpfmYO8gGCRQkI9ICGbGhSnkpmsjN41gCPe16Ms8ZVQ3lPCJFl2LlEOeozVPUpkHZ1KY2takvsrpw4QLuu+8+fPSjHwVwXHU39y66fPnyZyW1t237pNyd7BCrnBBA1l43RdCY4CEyZFu2TLUhyh5ZYElHAcfKAWHh4fsojY4RK0kRkcDwfUTsPLwFEDpCbIUgW/UFLZBsHTqOvFQEp6MU4rL4Fyt7J94lKYErza8ZUzFSI4LTQE/eapRwK493RIiV5DrZSCNzVtRxlr1XQzjkxsokzJS4LORTAEaWmAfnNOlamqpUy/jH7a/l3HsvIFRTg1l4IzCjNzNYs1wopOx7QszSuNSVpHmHKBETzstzHa30ImiyHBqjZHTRcgGs+4LSzHK7KLGY/KZU0qazXFtHd8+Ag3JbqXg2talNbWpTT11Xr17Fww8/jAsXLgB4dlV3YaF+FubW6pC9QJISO3NIn8L8vo+o+gg3ppLR0ziEpYxR/BBFbpzU2bUWR9mqj5KAq69lqhwKpbkxpAUopFvjhaTaif26L6odN2gSuIUY2p8pIXWVOKo2XkIKteFwo6ZXawq4W4fCrUgADVMOH0xdVXxQguYT1aL0cVOCX0+fkdsjdv3qJNtW4EWjgaHicpuyTFfHRZbArWZxFv1AlkNkninOiYLn4LAYse0fCuLivcRmaBPCkxqzNTVQ12DNyTITt3ys12+AhxG0WIAWnQZpymfGRKApwa+DIkeq5KkIYaGjsGdAKtk0KJva1C2sTRL3X7y+FJO4Dw8P8cEPfhAf/OAHARTV3UMPPYTDw0O88Y1vxO///u/jE5/4BN797nfjNa95Dc6dO4fv/M7vBHBcdfff//t/xwc+8AH87b/9tz8v1Z3vU24URGlT1BrWGFBCNuZKjfxxQ4Qf0szLJGXFDwBNPp75qZgHypTge/ElCcsq/1yaDxktVSvxWAnbtUiNw0wdRLoosjVMRTacQziTNBLGIXHrAL8qIXiAGLiZeZpZ0RupFQD8/qAW+vpv3peGp/YaaCijI+qDNkdQ63gPEBCXDeKWBnXSjMyrPB72gqSwmr7R4UqSwwHQ1jKnhxsywgsJDgQ54aOse2lEAORQRSW68ij8Ez5ciRqpqbODLGKURufwqDjMGlkXKDweZyolj7BVFT8cVX25wPDjE9jSn6M2DcqmNnWLapPE/ezUl2IS9x/8wR/gq77qq/BVX/VVAER191Vf9VX4J//kn8B7jw996EP4ju/4DrzoRS/C61//erzoRS/C7//+73+G6u61r30tvud7vgd/7a/9NSyXS/zmb/7mM1bdGaoBIIfXMYnE2BAT8yAxsmxYeEzbtTYUXBQrBFmYa5e5I246TqxMtYxwLAk3NQ6xs924+p6YtT5wjFzrpmLW5ockHhyOMrphjQYNBRFJjTYWTXUsybgEAdqxk8pqBdWgcVIbfbOHNyIwZ3QFTsZcOTEZZUwGBtwQxCzOmiaz9LfzqX4qNE4iI27qMsIhkv+HjqvMQbZWomtd5yRxkRpPuZlC5eH2dgEd6VHbAm2TLf7hPahtQF0Lt7sj5FoNG7VcIyRGqgmx8wgLM8Iz7o+M5NyYjgU0PlVtVDyb2tQtqle+8pX46q/+arz1rW/NP/vLf/kv47Wvfe0mifvzrCcqWpgZFy9exBve8Ab8w3/4DwEIWnLXXXfhp3/6p3MS9x133IFf/dVfzeTST3/607jnnnvwzne+cxN0+Vlqf38fe3t7+Pqv/ydwy6WQYIORPcWu3o2CisjIgoohmQPAQLWOOel47u46N2fz65ht6jMhN4nPSmxdGfGYz0lSI7ZZYKAboxBdHeW0Y+GsANUqoLrZl6ZDmwtuasnn2arhNRSwIAMue5tku3cgc0zIOBptk03b5LiPn0Ou5d/84SBcFh0nZSWN2eNrA2MjJeTnS4LqDOOx5xU5ddT3E8FdI1wWQNCREIRzAogL7DQKqnL2lPz+MGlDpE0TM7C7rcekrzcjFAOQ0ZC+VtpZIm43CEtBXFJFxcVXjfbkyZ6ZimeDoGxqU7egLIl77kMBbJK4n+16qiRu4Kk9QTb1uStVdGzXTzbScAXtSHVZyGQXLXLkY7xYV0ZDlBh+iMWYbUbEhVrbk41E0nG3WMw35Pb85mo6e55U6+jJEdKiLogIIFkzDplP49YTyDJ5mLNZmpjCGXokrwMvDQxqRVzUrp4mMWejGEFR7euVICtjE7XBHzWkkEQxlJsyorJC22ubqZu9TQ1LLIZv6lMSy2tk11hAnGS9E2t8c5ydAngcwcMgjYn3Epeg3ifS4ESwGcAxq/lbQWhSVyG2Ja/HTbPxnTWPxql9Bj4oGxXPpjZ1C2qTxH1rapPE/YUvtuwbENjJDtkFRmpEKZPgikmaIQ2RS2OTim+JECtlbESBQaS7dGtM8ohA5L1ZKqs7czkg/R2bVJEFF8KyC8Wh1okKBwBiV6E6HLMBWkYqiODXU7F9n4fkJXwGwTOPeohLvk9KQsLVf5PnJ6RGberXU17YoSOiPA5y0MYpHhsx2Xk3G3qq1STNuCBEJZlYGy9uajFxCwE86fsMASAnRm3eZ2UOZp8ViER+3g/6O/o6pOZsMUrDU1XgrpGARP0sAYs1KMoks7Z3QZu/4emPUTcNyqY2dQtrk8R9a2qTxP2FK1L0gr0QRDmlzD2JrUM1CRpiOT02ykm1AzvOoYGGtLADYlIFSGIhq46pNB4OWQGDmj/jOJB09KKkV541PeyKrb4LfDzvp/a5MRC1jS7sntQ3JAkyAhTL+SnK7yl/xZQ+gIxvKLH+TnV8wdfcIRqjOu6qqkeDADEpWOKs+dPmZ4ag5PfrAFbnVq6pvE4lDRYvWhmzLFsdGc24NnUtmTy+E58T5aTQspP3b2hLjOpx4sQzRZ+fm1qCCNdr4avU1TEFFVc2rgOqlZ4j7+WzBlCNCbGaIVdPUZsGZVObugW1SeK+NTVP4jaJLfDZk7ifrifIppSXACCkARwI/kgs2BNkccYEUO+QAgMxIXQerHazBCAmyemhfhIiaiBwFHVHmtu5T0nktap4McfaaoqIQX42tdJwuDGBkIBASMoTiezgBkYwdCRRdpmNJE1FdTiJHQfZTh9IjsXNlTmPZMAAEmWjNQo9GBrOxyz28QDggMQelISUy+r5IqMwBoUAWg3FMn+YhDBcqYpoCkBSxIUZsfFgxEwoBiD+IV6OyfWC8nDbCLIUEtD34K4VU7wQgbVwR1JKQCuGMEwO5BqgVnM2slC/BFTCyaHVAE4jqG6QtupMymVPSEuCcx401YAL4KkHrwKYRyQSDoo5/0avXjQcQAPgx4iQGH0bjl1Pn6s2DcqmNnULap7EbdJPQJK4v+M7vuMEj+yLq+ZJ3KZ4sSTun/7pnwZw3BPke77newAUT5Cf+ZmfObFjf66XqaD+P7/zL0/4SDZ1S+rqF/bpDw4OsLe39zkfs2lQNrWpW1SbJO5npzZJ3CdTFy9exEc+8hG8+MUvxsMPP/yUCozbtczSf/MevzDFzDg4OMDFixef8rGbBmVTm7pFtUnifnZqk8R9MuWcw9133w0A2N3d/aJdvK027/ELV0+FnFhtfFA2talNbWpTT6vMC+XpeFjcrrV5j8+d2vigbGpTm9rUpja1qedcbRqUTW1qU5va1NOqtm3xpje96UlTjr9YavMenzu1GfFsalOb2tSmNrWp51xtEJRNbWpTm9rUpjb1nKtNg7KpTW1qU5va1Kaec7VpUDa1qU1talOb2tRzrjYNyqY2talNbWpTm3rO1aZB2dSmNrWpTT1l/eIv/iLuv/9+dF2Hl7/85fjd3/3dkz6kz7sefPBBENGxP5bjBIjb6YMPPoiLFy9isVjgVa96FT784Q+f4BE/db3nPe/Ba17zGly8eBFEhN/4jd849u9P5z0Nw4Af+ZEfwblz57C1tYVv//Zvx6c+9alb+C6O16ZB2dSmNrWpTX3Oevvb3443vOEN+Mmf/El84AMfwNd//dfjgQcewEMPPXTSh/Z511d+5Vfi0UcfzX8+9KEP5X/7mZ/5Gfzcz/0c3vKWt+B973sfzp8/j2/+5m/OeUTPxTo6OsLLXvYyvOUtb3nSf3867+kNb3gD3vGOd+DXf/3X8Xu/93s4PDzEt33btyHG+KTP+QUv3tSmNrWpTW3qc9Rf/at/lX/4h3/42M/+0l/6S/zjP/7jJ3REf7F605vexC972cue9N9SSnz+/Hn+l//yX+af9X3Pe3t7/G//7b+9RUf4FysA/I53vCP//em8pxs3bnBd1/zrv/7r+TGPPPIIO+f4v/yX/3LLjn1eGwRlU5va1KY29VlrHEe8//3vx6tf/epjP3/1q1+N9773vSd0VH/x+uhHP4qLFy/i/vvvx9/6W38Lf/7nfw5AwicvXbp07P22bYtv+IZvuG3f79N5T+9///sxTdOxx1y8eBEveclLTux9bxqUTW1qU5va1GetK1euIMaIu+6669jP77rrLly6dOmEjuovVq985SvxK7/yK/jt3/5t/Pt//+9x6dIlfN3XfR2uXr2a39MX0/t9Ou/p0qVLaJoGp0+f/qyPudW1STPe1KY2talNPWUR0bG/M/Nn/Ox2qQceeCD//0tf+lJ87dd+LV7wghfgl3/5l/E1X/M1AL643q/V5/OeTvJ9bxCUTW1qU5va1Getc+fOwXv/Gbvoy5cvf8aO/Hatra0tvPSlL8VHP/rRrOb5Ynq/T+c9nT9/HuM44vr165/1Mbe6Ng3Kpja1qU1t6rNW0zR4+ctfjne9613Hfv6ud70LX/d1X3dCR/Xs1jAM+KM/+iNcuHAB999/P86fP3/s/Y7jiN/5nd+5bd/v03lPL3/5y1HX9bHHPProo/jDP/zDE3vfmxHPpja1qU1t6nPWj/7oj+L7vu/78IpXvAJf+7Vfi1/6pV/CQw89hB/+4R8+6UP7vOqNb3wjXvOa1+Dee+/F5cuX8c//+T/H/v4+Xv/614OI8IY3vAFvfvOb8cIXvhAvfOEL8eY3vxnL5RLf+73fe9KH/lnr8PAQH/vYx/LfP/7xj+ODH/wgzpw5g3vvvfcp39Pe3h5+8Ad/ED/2Yz+Gs2fP4syZM3jjG9+Il770pfimb/qmk3lTJ6Id2tSmNrWpTd1W9W/+zb/h++67j5um4a/+6q/m3/md3znpQ/q863Wvex1fuHCB67rmixcv8nd913fxhz/84fzvKSV+05vexOfPn+e2bfmv//W/zh/60IdO8Iifuv7n//yfDOAz/rz+9a9n5qf3ntbrNf/9v//3+cyZM7xYLPjbvu3b+KGHHjqBdyNFzMwn0xptalOb2tSmNrWpTT15bTgom9rUpja1qU1t6jlXmwZlU5va1KY2talNPedq06BsalOb2tSmNrWp51xtGpRNbWpTm9rUpjb1nKtNg7KpTW1qU5va1Kaec7VpUDa1qU1talOb2tRzrjYNyqY2talNbWpTm3rO1aZB2dSmNrWpTW1qU8+52jQom9rUpja1qU1t6jlXmwZlU5va1KY2talNPedq06BsalOb2tSmNrWp51xtGpRNbWpTm9rUpjb1nKv/PxAg8z/CGzwkAAAAAElFTkSuQmCC", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using FBP\")\n", + "\n", + "from httomolibgpu.recon.algorithm import FBP\n", + "\n", + "angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0])\n", + "\n", + "reconFBP = FBP(phase_contrast_data, angles=angles, center=cor)\n", + "\n", + "reconFBP_np = reconFBP.get()\n", + "\n", + "sliceSel = 64\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(reconFBP_np[sliceSel, :, :])\n", + "plt.title(\"Recon coronal view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(reconFBP_np[:, sliceSel, :])\n", + "plt.title(\"Axial view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(reconFBP_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using Fourier (LPRec)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using Fourier (LPRec)\")\n", + "\n", + "from httomolibgpu.recon.algorithm import LPRec\n", + "\n", + "angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0])\n", + "\n", + "reconLPRec = LPRec(phase_contrast_data, angles=angles, center=cor)\n", + "\n", + "reconLPRec_np = reconLPRec.get()\n", + "\n", + "sliceSel = 64\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(reconLPRec_np[sliceSel, :, :])\n", + "plt.title(\"Recon coronal view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(reconLPRec_np[:, sliceSel, :])\n", + "plt.title(\"Axial view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(reconLPRec_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + } + ], + "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": "3.10.13" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/pipeline2_iterative.html b/examples/pipeline2_iterative.html new file mode 100644 index 00000000..32065c50 --- /dev/null +++ b/examples/pipeline2_iterative.html @@ -0,0 +1,577 @@ + + +<!DOCTYPE html> + + +<html lang="en" > + + <head> + <meta charset="utf-8" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.17.1: http://docutils.sourceforge.net/" /> + + <title>Example 2 (Iterative Rec) &#8212; HTTomolibgpu Documentation page</title> + + + + <script data-cfasync="false"> + document.documentElement.dataset.mode = localStorage.getItem("mode") || ""; + 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data-bs-placement="bottom" data-bs-toggle="tooltip"> + <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span> + <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span> + <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span> + </button> +`); +</script> + +<script> +document.write(` + <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip"> + <i class="fa-solid fa-magnifying-glass"></i> + </button> +`); +</script> +<label class="sidebar-toggle secondary-toggle btn btn-sm" for="__secondary"title="Toggle secondary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip"> + <span class="fa-solid fa-list"></span> +</label> +</div></div> + + </div> + +</div> +</div> + + + +<div id="jb-print-docs-body" class="onlyprint"> + <h1>Example 2 (Iterative Rec)</h1> + <!-- Table of contents --> + <div id="print-main-content"> + <div id="jb-print-toc"> + + <div> + <h2> Contents </h2> + </div> + <nav aria-label="Page"> + <ul class="visible nav section-nav flex-column"> +<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#This-example-shows-how-to-use-methods-from-the-HTTomolibgpu-library-to-do-the-following:">This example shows how to use methods from the HTTomolibgpu library to do the following:</a></li> +</ul> + </nav> + </div> + </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <section id="Example-2-(Iterative-Rec)"> +<h1>Example 2 (Iterative Rec)<a class="headerlink" href="#Example-2-(Iterative-Rec)" title="Permalink to this headline">#</a></h1> +<section id="This-example-shows-how-to-use-methods-from-the-HTTomolibgpu-library-to-do-the-following:"> +<h2>This example shows how to use methods from the HTTomolibgpu library to do the following:<a class="headerlink" href="#This-example-shows-how-to-use-methods-from-the-HTTomolibgpu-library-to-do-the-following:" title="Permalink to this headline">#</a></h2> +<ul class="simple"> +<li><p>normalise the data</p></li> +<li><p>calculate the centre of rotation using phase-cross correlation method</p></li> +<li><p>reconstruct using the iterative algorithm</p></li> +</ul> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>import os +import numpy as np +import cupy as cp +import httomolibgpu +import matplotlib.pyplot as plt +from httomolibgpu.prep.normalize import normalize + +# Load the projection data +path_lib = os.path.dirname(httomolibgpu.__file__) +in_file = os.path.abspath( + os.path.join(path_lib, &quot;..&quot;, &quot;tests/test_data/&quot;, &quot;tomo_standard.npz&quot;) +) +datafile = np.load(in_file) +host_data = datafile[&quot;data&quot;] +host_flats = datafile[&quot;flats&quot;] +host_darks = datafile[&quot;darks&quot;] + +print( + &quot;The shape of the data is {} as (projections, detector Y, detector X)&quot;.format( + np.shape(host_data) + ) +) + +print(&quot;Normalising the data&quot;) +data = cp.asarray(host_data) +flats = cp.asarray(host_flats) +darks = cp.asarray(host_darks) +data_normalised = normalize(data, flats, darks, cutoff=10, minus_log=True) + +sliceSel = 64 +data_normalised_np = data_normalised.get() + +plt.figure() +plt.subplot(131) +plt.imshow(data_normalised_np[sliceSel, :, :]) +plt.title(&quot;Projection view&quot;) + +plt.subplot(132) +plt.imshow(data_normalised_np[:, sliceSel, :]) +plt.title(&quot;Sinogram view&quot;) + +plt.subplot(133) +plt.imshow(data_normalised_np[:, :, sliceSel]) +plt.title(&quot;Sagittal view&quot;) +plt.show() +</pre></div> +</div> +</div> +<div class="nboutput docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +The shape of the data is (180, 128, 160) as (projections, detector Y, detector X) +Normalising the data +</pre></div></div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_pipeline2_iterative_2_1.png" src="../_images/examples_pipeline2_iterative_2_1.png" /> +</div> +</div> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[2]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>from httomolibgpu.recon.rotation import find_center_pc + +print(&quot;Finding the Center of Rotation for the reconstruction&quot;) +cor = find_center_pc(proj1=data_normalised[0, :, :], proj2=data_normalised[179, :, :]) +print(&quot;The found Center of Rotation is {}&quot;.format(cor)) +</pre></div> +</div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +Finding the Center of Rotation for the reconstruction + Platform does not have any supported GPU! + Platform verification failed + platform is not supported by cufile + cuFile initialization failed +The found Center of Rotation is 79.5 +</pre></div></div> +</div> +<div class="nbinput docutils container"> +<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[3]: +</pre></div> +</div> +<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span>print(&quot;Perform Reconstruction using CGLS&quot;) + +from httomolibgpu.recon.algorithm import CGLS + +angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0]) + +reconCGLS = CGLS(data_normalised, angles=angles, center=cor, iterations=20) + +reconCGLS_np = reconCGLS.get() + +sliceSel = 64 +plt.figure() +plt.subplot(131) +plt.imshow(reconCGLS_np[sliceSel, :, :]) +plt.title(&quot;Recon coronal view&quot;) + +plt.subplot(132) +plt.imshow(reconCGLS_np[:, sliceSel, :]) +plt.title(&quot;Axial view&quot;) + +plt.subplot(133) +plt.imshow(reconCGLS_np[:, :, sliceSel]) +plt.title(&quot;Sagittal view&quot;) +plt.show() +</pre></div> +</div> +</div> +<div class="nboutput docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<div class="highlight"><pre> +Perform Reconstruction using CGLS +</pre></div></div> +</div> +<div class="nboutput nblast docutils container"> +<div class="prompt empty docutils container"> +</div> +<div class="output_area docutils container"> +<img alt="../_images/examples_pipeline2_iterative_4_1.png" src="../_images/examples_pipeline2_iterative_4_1.png" /> +</div> +</div> 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is not blocked --> + <script src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script> +<script src="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script> + + <footer class="bd-footer"> + </footer> + </body> +</html> \ No newline at end of file diff --git a/examples/pipeline2_iterative.ipynb b/examples/pipeline2_iterative.ipynb new file mode 100644 index 00000000..8ca6a985 --- /dev/null +++ b/examples/pipeline2_iterative.ipynb @@ -0,0 +1,191 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 2 (Iterative Rec)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### This example shows how to use methods from the HTTomolibgpu library to do the following:\n", + "\n", + "* normalise the data \n", + "* calculate the centre of rotation using phase-cross correlation method\n", + "* reconstruct using the iterative algorithm" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The shape of the data is (180, 128, 160) as (projections, detector Y, detector X)\n", + "Normalising the data\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import numpy as np\n", + "import cupy as cp\n", + "import httomolibgpu\n", + "import matplotlib.pyplot as plt\n", + "from httomolibgpu.prep.normalize import normalize\n", + "\n", + "# Load the projection data\n", + "path_lib = os.path.dirname(httomolibgpu.__file__)\n", + "in_file = os.path.abspath(\n", + " os.path.join(path_lib, \"..\", \"tests/test_data/\", \"tomo_standard.npz\")\n", + ")\n", + "datafile = np.load(in_file)\n", + "host_data = datafile[\"data\"]\n", + "host_flats = datafile[\"flats\"]\n", + "host_darks = datafile[\"darks\"]\n", + "\n", + "print(\n", + " \"The shape of the data is {} as (projections, detector Y, detector X)\".format(\n", + " np.shape(host_data)\n", + " )\n", + ")\n", + "\n", + "print(\"Normalising the data\")\n", + "data = cp.asarray(host_data)\n", + "flats = cp.asarray(host_flats)\n", + "darks = cp.asarray(host_darks)\n", + "data_normalised = normalize(data, flats, darks, cutoff=10, minus_log=True)\n", + "\n", + "sliceSel = 64\n", + "data_normalised_np = data_normalised.get()\n", + "\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(data_normalised_np[sliceSel, :, :])\n", + "plt.title(\"Projection view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(data_normalised_np[:, sliceSel, :])\n", + "plt.title(\"Sinogram view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(data_normalised_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finding the Center of Rotation for the reconstruction\n", + " Platform does not have any supported GPU!\n", + " Platform verification failed\n", + " platform is not supported by cufile\n", + " cuFile initialization failed\n", + "The found Center of Rotation is 79.5\n" + ] + } + ], + "source": [ + "from httomolibgpu.recon.rotation import find_center_pc\n", + "\n", + "print(\"Finding the Center of Rotation for the reconstruction\")\n", + "cor = find_center_pc(proj1=data_normalised[0, :, :], proj2=data_normalised[179, :, :])\n", + "print(\"The found Center of Rotation is {}\".format(cor))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Perform Reconstruction using CGLS\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 640x480 with 3 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(\"Perform Reconstruction using CGLS\")\n", + "\n", + "from httomolibgpu.recon.algorithm import CGLS\n", + "\n", + "angles = np.linspace(0.0 * np.pi / 180.0, 180.0 * np.pi / 180.0, data.shape[0])\n", + "\n", + "reconCGLS = CGLS(data_normalised, angles=angles, center=cor, iterations=20)\n", + "\n", + "reconCGLS_np = reconCGLS.get()\n", + "\n", + "sliceSel = 64\n", + "plt.figure()\n", + "plt.subplot(131)\n", + "plt.imshow(reconCGLS_np[sliceSel, :, :])\n", + "plt.title(\"Recon coronal view\")\n", + "\n", + "plt.subplot(132)\n", + "plt.imshow(reconCGLS_np[:, sliceSel, :])\n", + "plt.title(\"Axial view\")\n", + "\n", + "plt.subplot(133)\n", + "plt.imshow(reconCGLS_np[:, :, sliceSel])\n", + "plt.title(\"Sagittal view\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": 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class="reference internal" href="api/httomolibgpu.prep.phase.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.prep.phase</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="api/httomolibgpu.prep.stripe.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.prep.stripe</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="api/httomolibgpu.recon.algorithm.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.algorithm</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="api/httomolibgpu.recon.rotation.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.rotation</span></code></a></li> +</ul> +</li> +<li class="toctree-l1"><a class="reference internal" href="bibliography/biblio.html">Bibliography</a></li> +</ul> +<p aria-level="2" class="caption" role="heading"><span class="caption-text">Examples</span></p> +<ul class="nav bd-sidenav"> +<li class="toctree-l1"><a class="reference internal" href="examples/pipeline1_FBP.html">Example 1 (FBP and Fourier)</a></li> +<li class="toctree-l1"><a class="reference internal" href="examples/pipeline2_iterative.html">Example 2 (Iterative Rec)</a></li> +<li class="toctree-l1"><a class="reference internal" href="examples/Cor_largesino.html">Example 4 (real data)</a></li> +<li class="toctree-l1"><a class="reference internal" href="examples/DistortionCorr.html">Example 3 (Distortion corr)</a></li> +</ul> + + </div> +</nav></div> + </div> + + + <div class="sidebar-primary-items__end sidebar-primary__section"> + </div> + + <div id="rtd-footer-container"></div> + + + </div> + + <main id="main-content" class="bd-main"> + + + +<div class="sbt-scroll-pixel-helper"></div> + + <div class="bd-content"> + <div class="bd-article-container"> + + <div class="bd-header-article"> +<div class="header-article-items header-article__inner"> + + <div class="header-article-items__start"> + + <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip"> + <span class="fa-solid fa-bars"></span> +</label></div> + + </div> + + + <div class="header-article-items__end"> + + <div class="header-article-item"> + +<div class="article-header-buttons"> + + + +<button onclick="toggleFullScreen()" + class="btn btn-sm btn-fullscreen-button" + title="Fullscreen mode" + data-bs-placement="bottom" data-bs-toggle="tooltip" +> + + +<span class="btn__icon-container"> + <i class="fas fa-expand"></i> + </span> + +</button> + + +<script> +document.write(` + <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip"> + <span 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href="#D"><strong>D</strong></a> + | <a href="#F"><strong>F</strong></a> + | <a href="#H"><strong>H</strong></a> + | <a href="#L"><strong>L</strong></a> + | <a href="#M"><strong>M</strong></a> + | <a href="#N"><strong>N</strong></a> + | <a href="#P"><strong>P</strong></a> + | <a href="#R"><strong>R</strong></a> + | <a href="#S"><strong>S</strong></a> + +</div> +<h2 id="C">C</h2> +<table style="width: 100%" class="indextable genindextable"><tr> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.recon.algorithm.html#httomolibgpu.recon.algorithm.CGLS">CGLS() (in module httomolibgpu.recon.algorithm)</a> +</li> + </ul></td> +</tr></table> + +<h2 id="D">D</h2> +<table style="width: 100%" class="indextable genindextable"><tr> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.misc.morph.html#httomolibgpu.misc.morph.data_resampler">data_resampler() (in module httomolibgpu.misc.morph)</a> +</li> + </ul></td> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.prep.alignment.html#httomolibgpu.prep.alignment.distortion_correction_proj_discorpy">distortion_correction_proj_discorpy() (in module httomolibgpu.prep.alignment)</a> +</li> + </ul></td> +</tr></table> + +<h2 id="F">F</h2> +<table style="width: 100%" class="indextable genindextable"><tr> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.recon.algorithm.html#httomolibgpu.recon.algorithm.FBP">FBP() (in module httomolibgpu.recon.algorithm)</a> +</li> + <li><a href="api/httomolibgpu.recon.rotation.html#httomolibgpu.recon.rotation.find_center_360">find_center_360() (in module httomolibgpu.recon.rotation)</a> +</li> + </ul></td> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.recon.rotation.html#httomolibgpu.recon.rotation.find_center_pc">find_center_pc() (in module httomolibgpu.recon.rotation)</a> +</li> + <li><a href="api/httomolibgpu.recon.rotation.html#httomolibgpu.recon.rotation.find_center_vo">find_center_vo() (in module httomolibgpu.recon.rotation)</a> +</li> + </ul></td> +</tr></table> + +<h2 id="H">H</h2> +<table style="width: 100%" class="indextable genindextable"><tr> + <td style="width: 33%; vertical-align: top;"><ul> + <li> + httomolibgpu + + <ul> + <li><a href="api/httomolibgpu.html#module-httomolibgpu">module</a> +</li> + </ul></li> + <li> + httomolibgpu.cuda_kernels + + <ul> + <li><a href="api/httomolibgpu.cuda_kernels.html#module-httomolibgpu.cuda_kernels">module</a> +</li> + </ul></li> + <li> + httomolibgpu.cupywrapper + + <ul> + <li><a href="api/httomolibgpu.cupywrapper.html#module-httomolibgpu.cupywrapper">module</a> +</li> + </ul></li> + <li> + httomolibgpu.misc + + <ul> + <li><a href="api/httomolibgpu.misc.html#module-httomolibgpu.misc">module</a> +</li> + </ul></li> + <li> + httomolibgpu.misc.corr + + <ul> + <li><a href="api/httomolibgpu.misc.corr.html#module-httomolibgpu.misc.corr">module</a> +</li> + </ul></li> + <li> + httomolibgpu.misc.morph + + <ul> + <li><a href="api/httomolibgpu.misc.morph.html#module-httomolibgpu.misc.morph">module</a> +</li> + </ul></li> + <li> + httomolibgpu.misc.rescale + + <ul> + <li><a href="api/httomolibgpu.misc.rescale.html#module-httomolibgpu.misc.rescale">module</a> +</li> + </ul></li> + <li> + httomolibgpu.prep + + <ul> + <li><a href="api/httomolibgpu.prep.html#module-httomolibgpu.prep">module</a> +</li> + </ul></li> + </ul></td> + <td style="width: 33%; vertical-align: top;"><ul> + <li> + httomolibgpu.prep.alignment + + <ul> + <li><a href="api/httomolibgpu.prep.alignment.html#module-httomolibgpu.prep.alignment">module</a> +</li> + </ul></li> + <li> + httomolibgpu.prep.normalize + + <ul> + <li><a href="api/httomolibgpu.prep.normalize.html#module-httomolibgpu.prep.normalize">module</a> +</li> + </ul></li> + <li> + httomolibgpu.prep.phase + + <ul> + <li><a href="api/httomolibgpu.prep.phase.html#module-httomolibgpu.prep.phase">module</a> +</li> + </ul></li> + <li> + httomolibgpu.prep.stripe + + <ul> + <li><a href="api/httomolibgpu.prep.stripe.html#module-httomolibgpu.prep.stripe">module</a> +</li> + </ul></li> + <li> + httomolibgpu.recon + + <ul> + <li><a href="api/httomolibgpu.recon.html#module-httomolibgpu.recon">module</a> +</li> + </ul></li> + <li> + httomolibgpu.recon.algorithm + + <ul> + <li><a href="api/httomolibgpu.recon.algorithm.html#module-httomolibgpu.recon.algorithm">module</a> +</li> + </ul></li> + <li> + httomolibgpu.recon.rotation + + <ul> + <li><a href="api/httomolibgpu.recon.rotation.html#module-httomolibgpu.recon.rotation">module</a> +</li> + </ul></li> + </ul></td> +</tr></table> + +<h2 id="L">L</h2> +<table style="width: 100%" class="indextable genindextable"><tr> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.cuda_kernels.html#httomolibgpu.cuda_kernels.load_cuda_module">load_cuda_module() (in module httomolibgpu.cuda_kernels)</a> +</li> + </ul></td> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.recon.algorithm.html#httomolibgpu.recon.algorithm.LPRec">LPRec() (in module httomolibgpu.recon.algorithm)</a> +</li> + </ul></td> +</tr></table> + +<h2 id="M">M</h2> +<table style="width: 100%" class="indextable genindextable"><tr> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.misc.corr.html#httomolibgpu.misc.corr.median_filter">median_filter() (in module httomolibgpu.misc.corr)</a> +</li> + <li> + module + + <ul> + <li><a href="api/httomolibgpu.html#module-httomolibgpu">httomolibgpu</a> +</li> + <li><a href="api/httomolibgpu.cuda_kernels.html#module-httomolibgpu.cuda_kernels">httomolibgpu.cuda_kernels</a> +</li> + <li><a href="api/httomolibgpu.cupywrapper.html#module-httomolibgpu.cupywrapper">httomolibgpu.cupywrapper</a> +</li> + <li><a href="api/httomolibgpu.misc.html#module-httomolibgpu.misc">httomolibgpu.misc</a> +</li> + <li><a href="api/httomolibgpu.misc.corr.html#module-httomolibgpu.misc.corr">httomolibgpu.misc.corr</a> +</li> + <li><a href="api/httomolibgpu.misc.morph.html#module-httomolibgpu.misc.morph">httomolibgpu.misc.morph</a> +</li> + <li><a href="api/httomolibgpu.misc.rescale.html#module-httomolibgpu.misc.rescale">httomolibgpu.misc.rescale</a> +</li> + <li><a href="api/httomolibgpu.prep.html#module-httomolibgpu.prep">httomolibgpu.prep</a> +</li> + <li><a href="api/httomolibgpu.prep.alignment.html#module-httomolibgpu.prep.alignment">httomolibgpu.prep.alignment</a> +</li> + <li><a href="api/httomolibgpu.prep.normalize.html#module-httomolibgpu.prep.normalize">httomolibgpu.prep.normalize</a> +</li> + <li><a href="api/httomolibgpu.prep.phase.html#module-httomolibgpu.prep.phase">httomolibgpu.prep.phase</a> +</li> + <li><a href="api/httomolibgpu.prep.stripe.html#module-httomolibgpu.prep.stripe">httomolibgpu.prep.stripe</a> +</li> + <li><a href="api/httomolibgpu.recon.html#module-httomolibgpu.recon">httomolibgpu.recon</a> +</li> + <li><a href="api/httomolibgpu.recon.algorithm.html#module-httomolibgpu.recon.algorithm">httomolibgpu.recon.algorithm</a> +</li> + <li><a href="api/httomolibgpu.recon.rotation.html#module-httomolibgpu.recon.rotation">httomolibgpu.recon.rotation</a> +</li> + </ul></li> + </ul></td> +</tr></table> + +<h2 id="N">N</h2> +<table style="width: 100%" class="indextable genindextable"><tr> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.prep.normalize.html#httomolibgpu.prep.normalize.normalize">normalize() (in module httomolibgpu.prep.normalize)</a> +</li> + </ul></td> +</tr></table> + +<h2 id="P">P</h2> +<table style="width: 100%" class="indextable genindextable"><tr> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.prep.phase.html#httomolibgpu.prep.phase.paganin_filter_savu">paganin_filter_savu() (in module httomolibgpu.prep.phase)</a> +</li> + </ul></td> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.prep.phase.html#httomolibgpu.prep.phase.paganin_filter_tomopy">paganin_filter_tomopy() (in module httomolibgpu.prep.phase)</a> +</li> + </ul></td> +</tr></table> + +<h2 id="R">R</h2> +<table style="width: 100%" class="indextable genindextable"><tr> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.prep.stripe.html#httomolibgpu.prep.stripe.remove_all_stripe">remove_all_stripe() (in module httomolibgpu.prep.stripe)</a> +</li> + <li><a href="api/httomolibgpu.misc.corr.html#httomolibgpu.misc.corr.remove_outlier">remove_outlier() (in module httomolibgpu.misc.corr)</a> +</li> + </ul></td> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.prep.stripe.html#httomolibgpu.prep.stripe.remove_stripe_based_sorting">remove_stripe_based_sorting() (in module httomolibgpu.prep.stripe)</a> +</li> + <li><a href="api/httomolibgpu.prep.stripe.html#httomolibgpu.prep.stripe.remove_stripe_ti">remove_stripe_ti() (in module httomolibgpu.prep.stripe)</a> +</li> + <li><a href="api/httomolibgpu.misc.rescale.html#httomolibgpu.misc.rescale.rescale_to_int">rescale_to_int() (in module httomolibgpu.misc.rescale)</a> +</li> + </ul></td> +</tr></table> + +<h2 id="S">S</h2> +<table style="width: 100%" class="indextable genindextable"><tr> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.misc.morph.html#httomolibgpu.misc.morph.sino_360_to_180">sino_360_to_180() (in module httomolibgpu.misc.morph)</a> +</li> + </ul></td> + <td style="width: 33%; vertical-align: top;"><ul> + <li><a href="api/httomolibgpu.recon.algorithm.html#httomolibgpu.recon.algorithm.SIRT">SIRT() (in module httomolibgpu.recon.algorithm)</a> +</li> + </ul></td> +</tr></table> + + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> +</div></div> + +</div> + + </footer> + + </div> + + + + + </div> + <footer class="bd-footer-content"> + +<div class="bd-footer-content__inner container"> + + <div class="footer-item"> + + </div> + + <div class="footer-item"> + + <p class="copyright"> + + © Copyright 2024, Diamond Light Source. + <br/> + + </p> + + </div> + + <div class="footer-item"> + <p class="last-updated"> + Last updated on Sep 20, 2024. + <br/> +</p> + </div> + + <div class="footer-item"> + + </div> + +</div> + </footer> + + + </main> + </div> + </div> + + <!-- Scripts loaded after <body> so the DOM is not blocked --> + <script 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+</div> +</div> + + + +<div id="jb-print-docs-body" class="onlyprint"> + <h1>HTTomolibGPU is a library of GPU accelerated methods for tomography</h1> + <!-- Table of contents --> + <div id="print-main-content"> + <div id="jb-print-toc"> + + <div> + <h2> Contents </h2> + </div> + <nav aria-label="Page"> + <ul class="visible nav section-nav flex-column"> +<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#the-purpose-of-httomolibgpu">The purpose of HTTomolibGPU</a></li> +<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#install-httomolibgpu-as-a-pre-built-conda-python-package">Install HTTomolibGPU as a pre-built conda Python package</a></li> +<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#setup-the-development-environment">Setup the development environment:</a></li> +<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#build-httomolibgpu-as-a-conda-python-package">Build HTTomolibGPU as a conda Python package</a><ul class="nav section-nav flex-column"> +</ul> +</li> +</ul> + </nav> + </div> + </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <section id="httomolibgpu-is-a-library-of-gpu-accelerated-methods-for-tomography"> +<h1>HTTomolibGPU is a library of GPU accelerated methods for tomography<a class="headerlink" href="#httomolibgpu-is-a-library-of-gpu-accelerated-methods-for-tomography" title="Permalink to this headline">#</a></h1> +<p><strong>HTTomolibGPU</strong> is a collection of image processing methods in Python for computed tomography. +The methods are GPU-accelerated with the open-source Python library <a class="reference external" href="https://cupy.dev/">CuPy</a>. Most of the +methods migrated from <a class="reference external" href="https://tomopy.readthedocs.io/en/stable/">TomoPy</a> and <a class="reference external" href="https://savu.readthedocs.io/en/latest/">Savu</a> software packages. +Some of the methods also have been optimised to ensure higher computational efficiency, before ported to CuPy.</p> +<section id="the-purpose-of-httomolibgpu"> +<h2>The purpose of HTTomolibGPU<a class="headerlink" href="#the-purpose-of-httomolibgpu" title="Permalink to this headline">#</a></h2> +<p><strong>HTTomolibGPU</strong> can be used as a stand-alone library, see Examples section in <a class="reference external" href="https://diamondlightsource.github.io/httomolibgpu/">Documentation</a>. +However, it has been specifically developed to work together with the <a class="reference external" href="https://diamondlightsource.github.io/httomo/">HTTomo</a> package as +its backend for data processing. HTTomo is a user interface (UI) written in Python for fast big tomographic data processing using +MPI protocols.</p> +</section> +<section id="install-httomolibgpu-as-a-pre-built-conda-python-package"> +<h2>Install HTTomolibGPU as a pre-built conda Python package<a class="headerlink" href="#install-httomolibgpu-as-a-pre-built-conda-python-package" title="Permalink to this headline">#</a></h2> +<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>conda<span class="w"> </span>create<span class="w"> </span>--name<span class="w"> </span>httomolibgpu<span class="w"> </span><span class="c1"># create a fresh conda environment</span> +<span class="gp">$ </span>conda<span class="w"> </span>activate<span class="w"> </span>httomolibgpu<span class="w"> </span><span class="c1"># activate the environment</span> +<span class="gp">$ </span>conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>httomo<span class="w"> </span>httomolibgpu<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span><span class="c1"># for linux users</span> +</pre></div> +</div> +</section> +<section id="setup-the-development-environment"> +<h2>Setup the development environment:<a class="headerlink" href="#setup-the-development-environment" title="Permalink to this headline">#</a></h2> +<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>clone<span class="w"> </span>git@github.com:DiamondLightSource/httomolibgpu.git<span class="w"> </span><span class="c1"># clone the repo</span> +<span class="gp">$ </span>conda<span class="w"> </span>env<span class="w"> </span>create<span class="w"> </span>--name<span class="w"> </span>httomolibgpu<span class="w"> </span>--file<span class="w"> </span>conda/environment.yml<span class="w"> </span><span class="c1"># install dependencies</span> +<span class="gp">$ </span>conda<span class="w"> </span>activate<span class="w"> </span>httomolibgpu<span class="w"> </span><span class="c1"># activate the environment</span> +<span class="gp">$ </span>pip<span class="w"> </span>install<span class="w"> </span>-e<span class="w"> </span>.<span class="o">[</span>dev<span class="o">]</span><span class="w"> </span><span class="c1"># editable/development mode</span> +</pre></div> +</div> +</section> +<section id="build-httomolibgpu-as-a-conda-python-package"> +<h2>Build HTTomolibGPU as a conda Python package<a class="headerlink" href="#build-httomolibgpu-as-a-conda-python-package" title="Permalink to this headline">#</a></h2> +<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>conda<span class="w"> </span>build<span class="w"> </span>conda/recipe/<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>-c<span class="w"> </span>httomo +</pre></div> +</div> +<div class="toctree-wrapper compound" id="intro-content"> +<p aria-level="2" class="caption" role="heading"><span class="caption-text">Introduction</span></p> +<ul> +<li class="toctree-l1"><a class="reference internal" href="introduction/about.html">HTTomolibGPU</a><ul> +<li class="toctree-l2"><a class="reference internal" href="introduction/about.html#httomolibgpu-is-a-library-of-gpu-accelerated-methods-for-tomography">HTTomolibGPU is a library of GPU accelerated methods for tomography</a></li> +</ul> +</li> +</ul> +</div> +<div class="toctree-wrapper compound" id="reference-content"> +<span id="jn-examples"></span><p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference guides</span></p> +<ul> +<li class="toctree-l1"><a class="reference internal" href="reference/methods.html">Methods Description</a><ul> +<li class="toctree-l2"><a class="reference internal" href="reference/methods.html#data-correction-module">Data correction module</a></li> +</ul> +</li> +<li class="toctree-l1"><a class="reference internal" href="reference/api.html">API reference</a><ul> +<li class="toctree-l2"><a class="reference internal" href="reference/api.html#httomolibgpu-modules">HTTomolibGPU Modules</a></li> +</ul> +</li> +<li class="toctree-l1"><a class="reference internal" href="bibliography/biblio.html">Bibliography</a></li> +</ul> +</div> +<div class="toctree-wrapper compound"> +</div> +</section> +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="right-next" + href="introduction/about.html" + title="next page"> + <div class="prev-next-info"> + <p class="prev-next-subtitle">next</p> + <p class="prev-next-title">HTTomolibGPU</p> + </div> + <i class="fa-solid fa-angle-right"></i> + </a> +</div></div> + +</div> + + </footer> + + </div> + + + + <div 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<h1>HTTomolibGPU</h1> + <!-- Table of contents --> + <div id="print-main-content"> + <div id="jb-print-toc"> + + <div> + <h2> Contents </h2> + </div> + <nav aria-label="Page"> + <ul class="visible nav section-nav flex-column"> +<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#httomolibgpu-is-a-library-of-gpu-accelerated-methods-for-tomography">HTTomolibGPU is a library of GPU accelerated methods for tomography</a><ul class="nav section-nav flex-column"> +<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#the-purpose-of-httomolibgpu">The purpose of HTTomolibGPU</a></li> +<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#install-httomolibgpu-as-a-pre-built-conda-python-package">Install HTTomolibGPU as a pre-built conda Python package</a></li> +<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#setup-the-development-environment">Setup the development environment:</a></li> +<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#build-httomolibgpu-as-a-conda-python-package">Build HTTomolibGPU as a conda Python package</a></li> +</ul> +</li> +</ul> + </nav> + </div> + </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <section id="httomolibgpu"> +<h1>HTTomolibGPU<a class="headerlink" href="#httomolibgpu" title="Permalink to this headline">#</a></h1> +<section id="httomolibgpu-is-a-library-of-gpu-accelerated-methods-for-tomography"> +<h2>HTTomolibGPU is a library of GPU accelerated methods for tomography<a class="headerlink" href="#httomolibgpu-is-a-library-of-gpu-accelerated-methods-for-tomography" title="Permalink to this headline">#</a></h2> +<p><strong>HTTomolibGPU</strong> is a collection of image processing methods in Python for computed tomography. +The methods are GPU-accelerated with the open-source Python library <a class="reference external" href="https://cupy.dev/">CuPy</a>. Most of the +methods migrated from <a class="reference external" href="https://tomopy.readthedocs.io/en/stable/">TomoPy</a> and <a class="reference external" href="https://savu.readthedocs.io/en/latest/">Savu</a> software packages. +Some of the methods also have been optimised to ensure higher computational efficiency, before ported to CuPy.</p> +<section id="the-purpose-of-httomolibgpu"> +<h3>The purpose of HTTomolibGPU<a class="headerlink" href="#the-purpose-of-httomolibgpu" title="Permalink to this headline">#</a></h3> +<p><strong>HTTomolibGPU</strong> can be used as a stand-alone library, see Examples section in <a class="reference external" href="https://diamondlightsource.github.io/httomolibgpu/">Documentation</a>. +However, it has been specifically developed to work together with the <a class="reference external" href="https://diamondlightsource.github.io/httomo/">HTTomo</a> package as +its backend for data processing. HTTomo is a user interface (UI) written in Python for fast big tomographic data processing using +MPI protocols.</p> +</section> +<section id="install-httomolibgpu-as-a-pre-built-conda-python-package"> +<h3>Install HTTomolibGPU as a pre-built conda Python package<a class="headerlink" href="#install-httomolibgpu-as-a-pre-built-conda-python-package" title="Permalink to this headline">#</a></h3> +<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>conda<span class="w"> </span>create<span class="w"> </span>--name<span class="w"> </span>httomolibgpu<span class="w"> </span><span class="c1"># create a fresh conda environment</span> +<span class="gp">$ </span>conda<span class="w"> </span>activate<span class="w"> </span>httomolibgpu<span class="w"> </span><span class="c1"># activate the environment</span> +<span class="gp">$ </span>conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>httomo<span class="w"> </span>httomolibgpu<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span><span class="c1"># for linux users</span> +</pre></div> +</div> +</section> +<section id="setup-the-development-environment"> +<h3>Setup the development environment:<a class="headerlink" href="#setup-the-development-environment" title="Permalink to this headline">#</a></h3> +<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>clone<span class="w"> </span>git@github.com:DiamondLightSource/httomolibgpu.git<span class="w"> </span><span class="c1"># clone the repo</span> +<span class="gp">$ </span>conda<span class="w"> </span>env<span class="w"> </span>create<span class="w"> </span>--name<span class="w"> </span>httomolibgpu<span class="w"> </span>--file<span class="w"> </span>conda/environment.yml<span class="w"> </span><span class="c1"># install dependencies</span> +<span class="gp">$ </span>conda<span class="w"> </span>activate<span class="w"> </span>httomolibgpu<span class="w"> </span><span class="c1"># activate the environment</span> +<span class="gp">$ </span>pip<span class="w"> </span>install<span class="w"> </span>-e<span class="w"> </span>.<span class="o">[</span>dev<span class="o">]</span><span class="w"> </span><span class="c1"># editable/development mode</span> +</pre></div> +</div> +</section> +<section id="build-httomolibgpu-as-a-conda-python-package"> +<h3>Build HTTomolibGPU as a conda Python package<a class="headerlink" href="#build-httomolibgpu-as-a-conda-python-package" title="Permalink to this headline">#</a></h3> +<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>conda<span class="w"> </span>build<span class="w"> </span>conda/recipe/<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>-c<span class="w"> </span>httomo +</pre></div> +</div> +</section> 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environment:</a></li> +<li class="toc-h3 nav-item toc-entry"><a class="reference internal nav-link" href="#build-httomolibgpu-as-a-conda-python-package">Build HTTomolibGPU as a conda Python package</a></li> +</ul> +</li> +</ul> + </nav></div> + +</div></div> + + + </div> + <footer class="bd-footer-content"> + +<div class="bd-footer-content__inner container"> + + <div class="footer-item"> + + </div> + + <div class="footer-item"> + + <p class="copyright"> + + © Copyright 2024, Diamond Light Source. + <br/> + + </p> + + </div> + + <div class="footer-item"> + <p class="last-updated"> + Last updated on Sep 20, 2024. + <br/> +</p> + </div> + + <div class="footer-item"> + + </div> + +</div> + </footer> + + + </main> + </div> + </div> + + <!-- Scripts loaded after <body> so the DOM is not blocked --> + <script src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script> +<script src="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script> + + <footer 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class="xref">httomolibgpu.cuda_kernels</code></a></td><td> + <em></em></td></tr> + <tr class="cg-1"> + <td></td> + <td>&#160;&#160;&#160; + <a href="api/httomolibgpu.cupywrapper.html#module-httomolibgpu.cupywrapper"><code class="xref">httomolibgpu.cupywrapper</code></a></td><td> + <em></em></td></tr> + <tr class="cg-1"> + <td></td> + <td>&#160;&#160;&#160; + <a href="api/httomolibgpu.misc.html#module-httomolibgpu.misc"><code class="xref">httomolibgpu.misc</code></a></td><td> + <em></em></td></tr> + <tr class="cg-1"> + <td></td> + <td>&#160;&#160;&#160; + <a href="api/httomolibgpu.misc.corr.html#module-httomolibgpu.misc.corr"><code class="xref">httomolibgpu.misc.corr</code></a></td><td> + <em></em></td></tr> + <tr class="cg-1"> + <td></td> + <td>&#160;&#160;&#160; + <a href="api/httomolibgpu.misc.morph.html#module-httomolibgpu.misc.morph"><code class="xref">httomolibgpu.misc.morph</code></a></td><td> + <em></em></td></tr> + <tr class="cg-1"> + <td></td> + <td>&#160;&#160;&#160; + <a href="api/httomolibgpu.misc.rescale.html#module-httomolibgpu.misc.rescale"><code class="xref">httomolibgpu.misc.rescale</code></a></td><td> + <em></em></td></tr> + <tr class="cg-1"> + <td></td> + <td>&#160;&#160;&#160; + <a href="api/httomolibgpu.prep.html#module-httomolibgpu.prep"><code class="xref">httomolibgpu.prep</code></a></td><td> + <em></em></td></tr> + <tr class="cg-1"> + <td></td> + <td>&#160;&#160;&#160; + <a href="api/httomolibgpu.prep.alignment.html#module-httomolibgpu.prep.alignment"><code class="xref">httomolibgpu.prep.alignment</code></a></td><td> + <em></em></td></tr> + <tr class="cg-1"> + <td></td> + <td>&#160;&#160;&#160; + <a href="api/httomolibgpu.prep.normalize.html#module-httomolibgpu.prep.normalize"><code class="xref">httomolibgpu.prep.normalize</code></a></td><td> + <em></em></td></tr> + <tr class="cg-1"> + <td></td> + <td>&#160;&#160;&#160; + <a href="api/httomolibgpu.prep.phase.html#module-httomolibgpu.prep.phase"><code 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<ul class="visible nav section-nav flex-column"> +<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#data-correction-module">Data correction module</a></li> +</ul> + </nav> + </div> + </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <section id="methods-description"> +<span id="reference-methods"></span><h1>Methods Description<a class="headerlink" href="#methods-description" title="Permalink to this headline">#</a></h1> +<p>Here we present a list of methods that exist in the HTTomolibGPU library with more detailed information in places compared to <a class="reference internal" href="api.html#reference-api"><span class="std std-ref">API reference</span></a>.</p> +<section id="data-correction-module"> +<span id="id1"></span><h2>Data correction module<a class="headerlink" href="#data-correction-module" title="Permalink to this headline">#</a></h2> +<div class="toctree-wrapper compound"> +<ul> +<li 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id="median-filter"> +<span id="method-median-filter"></span><h1>Median filter<a class="headerlink" href="#median-filter" title="Permalink to this headline">#</a></h1> +<p><strong>Description</strong></p> +<p>Median filter is a part of the module <a class="reference internal" href="../../api/httomolibgpu.misc.corr.html"><span class="doc">httomolibgpu.misc.corr</span></a> for data correction. Median filter is a non-linear noise removing technique with +edge-preserving properties, see more on it <a class="reference external" href="https://en.wikipedia.org/wiki/Median_filter">here</a>. Mathematically, one can express the median filter as:</p> +<div class="math notranslate nohighlight"> +\[ \begin{align}\begin{aligned}f \in \mathrm{R}^{N}: \textit{input}\\g \in \mathrm{R}^{N}: \textit{output}\\g_{i} = \textit{median}(f_{j}), \textrm{where} \ j \in \mathrm{N}_{i}\end{aligned}\end{align} \]</div> +<p>Where <span class="math notranslate nohighlight">\(\mathrm{N}_{i}\)</span> is the symmetric neighbourhood (e.g. 3 x 3) of the pixel <span class="math notranslate nohighlight">\(j\)</span>.</p> +<p><strong>Where and how to use it:</strong></p> +<p>Median filter can be used in post-processing, e.g., after the reconstruction to remove the noise and prepare the image for further analysis. Applying edge-preserving noise correction +can simplify segmentation.</p> +<p><strong>What are the adjustable parameters:</strong></p> +<ul class="simple"> +<li><p><code class="code docutils literal notranslate"><span class="pre">kernel_size</span></code> defines the neighborhood size, see <span class="math notranslate nohighlight">\(\mathrm{N}_{i}\)</span> in the equations above. For instance, for 2D image <code class="code docutils literal notranslate"><span class="pre">kernel_size</span> <span class="pre">=</span> <span class="pre">3</span></code> defines the neighborhood of 3 by 3 pixels (one needs to use only odd numbers). Increasing <code class="code docutils literal notranslate"><span class="pre">kernel_size</span></code> results in more smoothing applied, it is recommended to use the higher values when the level of noise is high. As a rule of thumb, keeping <code class="code docutils literal notranslate"><span class="pre">kernel_size</span></code> within 3-5 range is a good trade-off to avoid destroying important data features.</p></li> +</ul> +<p><strong>Practical example:</strong></p> +<p>In this example we demonstrate how to apply median filter to projection data to demonstrate its noise removing properties.</p> +<div class="admonition warning"> +<p class="admonition-title">Warning</p> +<p>It is not recommended to apply median filter to projection data as any modification of the data itself can result in further problems, e.g., the loss of the resolution and the presence of artifacts in the reconstruction step.</p> +</div> +<table class="table"> +<colgroup> +<col style="width: 50%" /> +<col style="width: 50%" /> +</colgroup> +<tbody> +<tr class="row-odd"><td><figure class="align-default" id="id1"> +<img alt="../../_images/normalisation_sino.png" src="../../_images/normalisation_sino.png" /> +<figcaption> +<p><span class="caption-number">Fig. 1 </span><span class="caption-text">Input (sinogram view)</span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +<td><figure class="align-default" id="id2"> +<img alt="../../_images/normalisation_proj.png" src="../../_images/normalisation_proj.png" /> +<figcaption> +<p><span class="caption-number">Fig. 2 </span><span class="caption-text">Input (projection view)</span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +</tr> +<tr class="row-even"><td><figure class="align-default" id="id3"> +<img alt="../../_images/median_filter_sino.png" src="../../_images/median_filter_sino.png" /> +<figcaption> +<p><span class="caption-number">Fig. 3 </span><span class="caption-text">After applying median filter (sinogram)</span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +<td><figure class="align-default" id="id4"> +<img alt="../../_images/median_filter_proj.png" src="../../_images/median_filter_proj.png" /> +<figcaption> +<p><span class="caption-number">Fig. 4 </span><span class="caption-text">After applying median filter (projection)</span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +</tr> +<tr class="row-odd"><td><figure class="align-default" id="id5"> +<img alt="../../_images/median_filter_res_sino.png" src="../../_images/median_filter_res_sino.png" /> +<figcaption> +<p><span class="caption-number">Fig. 5 </span><span class="caption-text">Sinogram view of absolute residual between input and output</span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +<td><figure class="align-default" id="id6"> +<img alt="../../_images/median_filter_res_proj.png" src="../../_images/median_filter_res_proj.png" /> +<figcaption> +<p><span 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+</script> + +<script> +document.write(` + <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip"> + <i class="fa-solid fa-magnifying-glass"></i> + </button> +`); +</script> + +</div></div> + + </div> + +</div> +</div> + + + +<div id="jb-print-docs-body" class="onlyprint"> + <h1>Outliers removal filter</h1> + <!-- Table of contents --> + <div id="print-main-content"> + <div id="jb-print-toc"> + + </div> + </div> +</div> + + + +<div id="searchbox"></div> + <article class="bd-article" role="main"> + + <section id="outliers-removal-filter"> +<span id="method-outlier-removal"></span><h1>Outliers removal filter<a class="headerlink" href="#outliers-removal-filter" title="Permalink to this headline">#</a></h1> +<p><strong>Description</strong></p> +<p>Also called as a <strong>dezinger</strong>. Outliers removal filter is a part of the module <a class="reference internal" href="../../api/httomolibgpu.misc.corr.html"><span class="doc">httomolibgpu.misc.corr</span></a> for data correction. +This method seeks the pixels/voxels that do not fit normally distributed data and replace them by using the <a class="reference internal" href="median_filter.html#method-median-filter"><span class="std std-ref">Median filter</span></a>. Essentially, dezinger is +a spatially variant median filter. The user needs to set the threshold parameter, based on which the filter will remove the outliers that are <strong>above</strong> +the chosen threshold. See the <code class="code docutils literal notranslate"><span class="pre">dif</span></code> parameter of the <code class="code docutils literal notranslate"><span class="pre">remove_outlier</span></code> method. +Mathematically, one can express the dezinger as:</p> +<div class="math notranslate nohighlight"> +\[ \begin{align}\begin{aligned}f \in \mathrm{R}^{N}: \textit{input}\\g \in \mathrm{R}^{N}: \textit{output}\\\hat{f}_{i} = \textit{median}(f_{j}), \textrm{where} \ j \in \mathrm{N}_{i}\\g_{i} = \hat{f}_{i} \ \textrm{if} \ | f_{i} - \hat{f}_{i} | \geq \sigma.\end{aligned}\end{align} \]</div> +<p>Where <span class="math notranslate nohighlight">\(\sigma\)</span> is the threshold parameter and <span class="math notranslate nohighlight">\(\mathrm{N}_{i}\)</span> is the symmetric neighbourhood (e.g. 3 x 3) of the pixel <span class="math notranslate nohighlight">\(j\)</span>.</p> +<div class="admonition note"> +<p class="admonition-title">Note</p> +<p>Increasing the threshold value leads to the filter being more selective and decreasing the value makes it more like the normal median filter.</p> +</div> +<p><strong>Where and how to use it:</strong></p> +<p>Outliers removal filter should be used in situations when the data (projections or sinograms) contains pixels/voxels that do not belong to the surrounding area. +Usually, it looks like a <a class="reference external" href="https://en.wikipedia.org/wiki/Salt-and-pepper_noise">salt-and-pepper</a> noise or speckle-type noise, see Practical example bellow. In tomography, such +noise can be present because of the scattered X-rays and the quicker way to establish the need for the filter is to investigate the raw data visually. When removing +the outliers, it is preferable to avoid any modification of the data, therefore some experimentation with the <span class="math notranslate nohighlight">\(\sigma\)</span> parameter might needed.</p> +<p><strong>What are the adjustable parameters:</strong></p> +<ul class="simple"> +<li><p><code class="code docutils literal notranslate"><span class="pre">kernel_size</span></code> defines the neighborhood size, see <span class="math notranslate nohighlight">\(\mathrm{N}_{i}\)</span> in the equations above. For instance, for 2D image <code class="code docutils literal notranslate"><span class="pre">kernel_size</span> <span class="pre">=</span> <span class="pre">3</span></code> defines the neighborhood of 3 by 3 pixels (one needs to use only odd numbers). Increasing <code class="code docutils literal notranslate"><span class="pre">kernel_size</span></code> results in more smoothing applied, it is recommended to use the higher values when the clusters of pixels are large. As a rule of thumb, keeping <code class="code docutils literal notranslate"><span class="pre">kernel_size</span></code> within 7-11 range is a good trade-off. The limit is set to 13 currently.</p></li> +<li><p><code class="code docutils literal notranslate"><span class="pre">dif</span></code> defines the threshold above which the value in the pixel is considered to be too high/low. Some empirical testing is usually required to establish the best trade-off.</p></li> +</ul> +<p><strong>Practical example:</strong></p> +<p>In this example we demonstrate how the outliers, visible in sinogram and projection spaces can be removed from the data.</p> +<table class="table"> +<colgroup> +<col style="width: 50%" /> +<col style="width: 50%" /> +</colgroup> +<tbody> +<tr class="row-odd"><td><figure class="align-default" id="id1"> +<img alt="../../_images/remove_outlier_input_sino.png" src="../../_images/remove_outlier_input_sino.png" /> +<figcaption> +<p><span class="caption-number">Fig. 7 </span><span class="caption-text">Input (sinogram view) with a stripe of outliers in the middle of the image.</span><a class="headerlink" href="#id1" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +<td><figure class="align-default" id="id2"> +<img alt="../../_images/remove_outlier_input_proj.png" src="../../_images/remove_outlier_input_proj.png" /> +<figcaption> +<p><span class="caption-number">Fig. 8 </span><span class="caption-text">Input (projection view) with some outliers in the left part of the image.</span><a class="headerlink" href="#id2" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +</tr> +<tr class="row-even"><td><figure class="align-default" id="id3"> +<img alt="../../_images/remove_outlier_sino.png" src="../../_images/remove_outlier_sino.png" /> +<figcaption> +<p><span class="caption-number">Fig. 9 </span><span class="caption-text">After applying outliers removal (sinogram)</span><a class="headerlink" href="#id3" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +<td><figure class="align-default" id="id4"> +<img alt="../../_images/remove_outlier_proj.png" src="../../_images/remove_outlier_proj.png" /> +<figcaption> +<p><span class="caption-number">Fig. 10 </span><span class="caption-text">After applying outliers removal (projection)</span><a class="headerlink" href="#id4" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +</tr> +<tr class="row-odd"><td><figure class="align-default" id="id5"> +<img alt="../../_images/remove_outlier_res_sino.png" src="../../_images/remove_outlier_res_sino.png" /> +<figcaption> +<p><span class="caption-number">Fig. 11 </span><span class="caption-text">Sinogram view of absolute residual between input and output. Note that the residual contains only removed outliers, we want to avoid smoothing the data.</span><a class="headerlink" href="#id5" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +<td><figure class="align-default" id="id6"> +<img alt="../../_images/remove_outlier_res_proj.png" src="../../_images/remove_outlier_res_proj.png" /> +<figcaption> +<p><span class="caption-number">Fig. 12 </span><span class="caption-text">Projection view of absolute residual between input and output. Note that the residual contains only removed outliers, we want to avoid smoothing the data.</span><a class="headerlink" href="#id6" title="Permalink to this image">#</a></p> +</figcaption> +</figure> +</td> +</tr> +</tbody> +</table> +</section> + + + </article> + + + + + <footer class="bd-footer-article"> + +<div class="footer-article-items footer-article__inner"> + + <div class="footer-article-item"><!-- Previous / next buttons --> +<div class="prev-next-area"> + <a class="left-prev" + href="median_filter.html" + title="previous page"> + <i class="fa-solid fa-angle-left"></i> + <div class="prev-next-info"> + <p class="prev-next-subtitle">previous</p> + <p class="prev-next-title">Median filter</p> + </div> + </a> + <a class="right-next" + href="../api.html" + title="next page"> + <div class="prev-next-info"> + <p class="prev-next-subtitle">next</p> + <p class="prev-next-title">API reference</p> + </div> + <i class="fa-solid fa-angle-right"></i> + </a> +</div></div> + +</div> + + 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class="toctree-l2"><a class="reference internal" href="reference/methods_list/outlier_removal.html">Outliers removal filter</a></li> +</ul> +</li> +<li class="toctree-l1 has-children"><a class="reference internal" href="reference/api.html">API reference</a><input class="toctree-checkbox" id="toctree-checkbox-2" name="toctree-checkbox-2" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-2"><i class="fa-solid fa-chevron-down"></i></label><ul> +<li class="toctree-l2"><a class="reference internal" href="api/httomolibgpu.misc.corr.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.misc.corr</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="api/httomolibgpu.misc.morph.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.misc.morph</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="api/httomolibgpu.misc.rescale.html"><code 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class="pre">httomolibgpu.prep.stripe</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="api/httomolibgpu.recon.algorithm.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.algorithm</span></code></a></li> +<li class="toctree-l2"><a class="reference internal" href="api/httomolibgpu.recon.rotation.html"><code class="xref py py-mod docutils literal notranslate"><span class="pre">httomolibgpu.recon.rotation</span></code></a></li> +</ul> +</li> +<li class="toctree-l1"><a class="reference internal" href="bibliography/biblio.html">Bibliography</a></li> +</ul> +<p aria-level="2" class="caption" role="heading"><span class="caption-text">Examples</span></p> +<ul class="nav bd-sidenav"> +<li class="toctree-l1"><a class="reference internal" href="examples/pipeline1_FBP.html">Example 1 (FBP and Fourier)</a></li> +<li class="toctree-l1"><a class="reference internal" href="examples/pipeline2_iterative.html">Example 2 (Iterative Rec)</a></li> +<li class="toctree-l1"><a class="reference internal" href="examples/Cor_largesino.html">Example 4 (real data)</a></li> +<li class="toctree-l1"><a class="reference internal" href="examples/DistortionCorr.html">Example 3 (Distortion corr)</a></li> +</ul> + + </div> +</nav></div> + </div> + + + <div class="sidebar-primary-items__end sidebar-primary__section"> + </div> + + <div id="rtd-footer-container"></div> + + + </div> + + <main id="main-content" class="bd-main"> + + + +<div class="sbt-scroll-pixel-helper"></div> + + <div class="bd-content"> + <div class="bd-article-container"> + + <div class="bd-header-article"> +<div class="header-article-items header-article__inner"> + + <div class="header-article-items__start"> + + <div class="header-article-item"><label class="sidebar-toggle primary-toggle btn btn-sm" for="__primary" title="Toggle primary sidebar" data-bs-placement="bottom" data-bs-toggle="tooltip"> + <span class="fa-solid fa-bars"></span> +</label></div> 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package","httomolibgpu.cuda_kernels package","<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">httomolibgpu.cupywrapper</span></code>","httomolibgpu.misc package","<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">httomolibgpu.misc.corr</span></code>","<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">httomolibgpu.misc.morph</span></code>","<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">httomolibgpu.misc.rescale</span></code>","httomolibgpu.prep package","<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">httomolibgpu.prep.alignment</span></code>","<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">httomolibgpu.prep.normalize</span></code>","<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">httomolibgpu.prep.phase</span></code>","<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">httomolibgpu.prep.stripe</span></code>","httomolibgpu.recon package","<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">httomolibgpu.recon.algorithm</span></code>","<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">httomolibgpu.recon.rotation</span></code>","Bibliography","Example 4 (real data)","Example 3 (Distortion corr)","Example 1 (FBP and Fourier)","Example 2 (Iterative Rec)","HTTomolibGPU is a library of GPU accelerated methods for tomography","HTTomolibGPU","API reference","Methods Description","Median filter","Outliers removal filter"],titleterms:{"1":[18,22],"2":[19,22],"3":17,"4":16,"do":[16,18,19],The:[20,21],acceler:[20,21],algorithm:13,align:8,api:22,bibliographi:15,build:[20,21],built:[20,21],conda:[20,21],content:[0,1,3,7,12],corr:[4,17],correct:23,cuda_kernel:1,cupywrapp:2,data:[16,23],descript:23,develop:[20,21],distort:17,environ:[20,21],exampl:[16,17,18,19],fbp:18,filter:[24,25],follow:[16,18,19],fourier:18,from:[16,18,19],gpu:[20,21],guid:20,how:[16,18,19],httomolibgpi:[16,18],httomolibgpu:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,19,20,21,22],instal:[20,21],introduct:20,iter:19,librari:[16,18,19,20,21],median:24,method:[16,18,19,20,21,23],misc:[3,4,5,6],modul:[0,1,3,7,12,22,23],morph:5,normal:9,outlier:25,packag:[0,1,3,7,12,20,21],phase:10,pre:[20,21],prep:[7,8,9,10,11],purpos:[20,21],python:[20,21],real:16,rec:19,recon:[12,13,14],refer:[20,22],remov:25,rescal:6,rotat:14,setup:[20,21],show:[16,18,19],stripe:11,submodul:[0,3,7,12],subpackag:0,thi:[16,18,19],tomographi:[20,21],us:[16,18,19],v:22}}) \ No 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