{ "cells": [ { "cell_type": "markdown", "id": "b16f559c-43de-4b9b-bac1-0121f3208318", "metadata": {}, "source": [ "# Turbulence estimation 6-beam" ] }, { "cell_type": "markdown", "id": "786cd1a8-2f70-46c1-9e98-7d81ceaf7f36", "metadata": {}, "source": [ "### Introduction\n", "\n", "The work from [Sathe et al. 2015](https://doi.org/10.5194/amt-8-729-2015) introduces an alternative scanning strategy to be used by wind Doppler lidars for estimating turbulence. This new strategy consists of measuring the radial wind on five equally spaced azimuths with fixed elevation, different from 0 or 90 degrees, and one additional measurement from the zenith. From those observations, the Reynolds stress tensor elements can be calculated following the method suggested developed by Sathe et al. 2015. \n", "\n", "This example shows how to use the lidarwind package to calculate the Reynolds stress tensor elements from the six beam observations obtained by the WindCube lidar 200s. This example is structured according to the steps listed below." ] }, { "cell_type": "markdown", "id": "fc5dc5af-c85c-4674-bebb-1f9400658b3d", "metadata": {}, "source": [ "### Steps:\n", "\n", "0) Download data from zenodo\n", "1) Read the WindCube's data\n", "2) Merge data from one hour of observations\n", "3) Re-structure the data for using the wind retrieval\n", "4) Calculate the Reynolds stress tensor elements\n", "5) Visualisation" ] }, { "cell_type": "code", "execution_count": 1, "id": "074c721a-e416-4b5f-9677-d490d105b97c", "metadata": {}, "outputs": [], "source": [ "import glob\n", "\n", "import matplotlib.pyplot as plt\n", "import lidarwind\n", "from lidarwind.utilities import sample_data" ] }, { "cell_type": "markdown", "id": "e7324109-32ea-4925-b348-82a2add25a32", "metadata": {}, "source": [ "### Step 0: Downloading sample data" ] }, { "cell_type": "markdown", "id": "6fba86a6-6e7b-4dd9-bf63-db84e0f1aebb", "metadata": {}, "source": [ "Use `sample_data()` to download and cache some sample dataset." ] }, { "cell_type": "code", "execution_count": 2, "id": "f5a3c57f-cea7-4129-bcf8-92630595cadb", "metadata": {}, "outputs": [], "source": [ "file_list = sample_data('wc_6beam')" ] }, { "cell_type": "markdown", "id": "ef859b9a-1dbd-4923-99fd-12227e54a2c4", "metadata": {}, "source": [ "### Step 1 and 2: reading and merging the 6-beam data" ] }, { "cell_type": "code", "execution_count": 3, "id": "90cf9f04-4bad-44bb-a03f-6c99508778f2", "metadata": { "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/jdiasneto/Projects/LST_package_name/lidarwind/data_operator.py:147: UserWarning: rename 'range' to 'range90' does not create an index anymore. Try using swap_dims instead or use set_index after rename to create an indexed coordinate.\n", " self.tmp90 = self.tmp90.rename({var: f\"{var}90\"})\n" ] } ], "source": [ "file_list = sorted(file_list)\n", "merged_ds = lidarwind.DataOperations(file_list).merged_data" ] }, { "cell_type": "markdown", "id": "3094e317-3270-4db4-85bd-5386f51f9350", "metadata": {}, "source": [ "Below you can see all the variables available on the original WindCube's data. Not all of them are needed for retrieving the wind profiles. Note that the variables from the vertical observations are kept separate from the slanted observations. " ] }, { "cell_type": "code", "execution_count": 4, "id": "56c8054b-80a8-4837-8c02-e616a04e2f85", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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       "Dimensions:                                  (time: 715, range90: 143,\n",
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       "  * time                                     (time) datetime64[ns] 2021-05-13...\n",
       "  * range90                                  (range90) int32 100 150 ... 7200\n",
       "  * range                                    (range) int32 104 156 ... 7124 7176\n",
       "Data variables: (12/34)\n",
       "    scan_file                                (time) object b'(\\xe1\\x18\\xd5\\xf...\n",
       "    settings_file                            (time) object b'E\\xc7_t<\\xb7\\x10...\n",
       "    res_file                                 (time) object b'7\\x1bb\\x06\\x0f\\x...\n",
       "    ray_angle_resolution                     (time) float64 0.0 0.0 ... 0.0 0.0\n",
       "    range_gate_length                        (time) float64 50.0 50.0 ... 50.0\n",
       "    ray_accumulation_time                    (time) float64 2e+03 ... 2e+03\n",
       "    ...                                       ...\n",
       "    radial_wind_speed                        (time, range) float64 1.8 ... -3...\n",
       "    radial_wind_speed_ci                     (time, range) float64 100.0 ... 0.0\n",
       "    radial_wind_speed_status                 (time, range) float32 1.0 ... 0.0\n",
       "    doppler_spectrum_width                   (time, range) float64 0.91 ... 2.92\n",
       "    doppler_spectrum_mean_error              (time, range) float64 2.6 ... 55.7\n",
       "    relative_beta                            (time, range) float64 1.01e-07 ....
" ], "text/plain": [ "\n", "Dimensions: (time: 715, range90: 143,\n", " range: 137)\n", "Coordinates:\n", " * time (time) datetime64[ns] 2021-05-13...\n", " * range90 (range90) int32 100 150 ... 7200\n", " * range (range) int32 104 156 ... 7124 7176\n", "Data variables: (12/34)\n", " scan_file (time) object b'(\\xe1\\x18\\xd5\\xf...\n", " settings_file (time) object b'E\\xc7_t<\\xb7\\x10...\n", " res_file (time) object b'7\\x1bb\\x06\\x0f\\x...\n", " ray_angle_resolution (time) float64 0.0 0.0 ... 0.0 0.0\n", " range_gate_length (time) float64 50.0 50.0 ... 50.0\n", " ray_accumulation_time (time) float64 2e+03 ... 2e+03\n", " ... ...\n", " radial_wind_speed (time, range) float64 1.8 ... -3...\n", " radial_wind_speed_ci (time, range) float64 100.0 ... 0.0\n", " radial_wind_speed_status (time, range) float32 1.0 ... 0.0\n", " doppler_spectrum_width (time, range) float64 0.91 ... 2.92\n", " doppler_spectrum_mean_error (time, range) float64 2.6 ... 55.7\n", " relative_beta (time, range) float64 1.01e-07 ...." ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "merged_ds" ] }, { "cell_type": "markdown", "id": "3de90219-0604-4189-bc3b-2dddeb0b530f", "metadata": { "tags": [] }, "source": [ "### Step 3: re-structuring the data" ] }, { "cell_type": "markdown", "id": "ac7209fb-8ccd-4389-8236-4025f1690efa", "metadata": {}, "source": [ "The re-structured object contains all the information needed to calculate the Reynolds stress tensor elements." ] }, { "cell_type": "code", "execution_count": 5, "id": "17e2f04b-8db4-4713-b322-d8964e955999", "metadata": {}, "outputs": [], "source": [ "restruct_data = lidarwind.GetRestructuredData(merged_ds)" ] }, { "cell_type": "markdown", "id": "367c7f6d-1305-4e47-877a-dfe690034467", "metadata": {}, "source": [ "### Step 4: Calculate the Reynolds stress tensor elements" ] }, { "cell_type": "markdown", "id": "5a07b9af-fd84-4879-ab91-4982a49157cd", "metadata": {}, "source": [ "To calculate Reynolds stress tensor elements, you need to define a time window (a frequency). Since lidarwind takes advantage of the xarray library, the frequency for calculating those elements is defined in terms of the number of profiles. However, a frequency in terms of time is more practical. In the following fuor lines, a time frequency will be related to its equivalent in terms of profile frequency." ] }, { "cell_type": "code", "execution_count": 6, "id": "d305f5eb-e51c-4789-ac8c-7167f117fd4e", "metadata": {}, "outputs": [], "source": [ "# desired time windown in minutes\n", "time_window = 5\n", "\n", "# duration of one minute in seconds\n", "minute_lenght = 60\n", "\n", "# vertical observations time resolution in seconds\n", "time_resolution = restruct_data.data_transf_90.time.diff(dim='time').values * 1e-9\n", "time_resolution = int(time_resolution[0])\n", "\n", "# frequency convertion from minutes to profile number\n", "freq = (minute_lenght/time_resolution)*time_window\n", "freq = int(freq)" ] }, { "cell_type": "markdown", "id": "824fce48-71bc-4312-8900-e5176205dc8b", "metadata": {}, "source": [ "Applying the 6-beam method to calculate Reynolds stress tensor elements" ] }, { "cell_type": "code", "execution_count": 7, "id": "66728949-d077-4d2e-a254-db3a3554e8fc", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/miniconda3/envs/lidarSuit/lib/python3.8/site-packages/xarray/core/nputils.py:157: RuntimeWarning: Degrees of freedom <= 0 for slice.\n", " result = getattr(npmodule, name)(values, axis=axis, **kwargs)\n", "/opt/miniconda3/envs/lidarSuit/lib/python3.8/site-packages/xarray/core/nputils.py:157: RuntimeWarning: Degrees of freedom <= 0 for slice.\n", " result = getattr(npmodule, name)(values, axis=axis, **kwargs)\n" ] } ], "source": [ "turb_data = lidarwind.SixBeamMethod(restruct_data, freq=freq, freq90=freq)" ] }, { "cell_type": "markdown", "id": "90103ade-953a-449f-a6a7-3f86bc8b5597", "metadata": {}, "source": [ "Have a look at the Reynolds elements dataset" ] }, { "cell_type": "code", "execution_count": 8, "id": "e90338c7-26ff-49bd-9ea3-0db3aea2bd95", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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       "Dimensions:  (time: 119, range: 137)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-05-13T12:00:14.748000 ... 2021-05-13T...\n",
       "  * range    (range) int32 100 150 200 250 300 350 ... 6700 6750 6800 6850 6900\n",
       "Data variables:\n",
       "    var_u    (time, range) float64 4.397 -0.1946 1.142 0.9758 ... nan nan nan\n",
       "    var_v    (time, range) float64 12.65 7.676 8.094 4.014 ... nan nan nan nan\n",
       "    var_w    (time, range) float64 0.0812 0.2858 0.05532 0.1414 ... nan nan nan\n",
       "    var_uv   (time, range) float64 9.568 10.01 2.939 -0.8213 ... nan nan nan nan\n",
       "    var_uw   (time, range) float64 -0.895 -0.6348 -0.3155 ... nan nan nan\n",
       "    var_vw   (time, range) float64 -0.9987 -0.7313 0.2783 0.492 ... nan nan nan
" ], "text/plain": [ "\n", "Dimensions: (time: 119, range: 137)\n", "Coordinates:\n", " * time (time) datetime64[ns] 2021-05-13T12:00:14.748000 ... 2021-05-13T...\n", " * range (range) int32 100 150 200 250 300 350 ... 6700 6750 6800 6850 6900\n", "Data variables:\n", " var_u (time, range) float64 4.397 -0.1946 1.142 0.9758 ... nan nan nan\n", " var_v (time, range) float64 12.65 7.676 8.094 4.014 ... nan nan nan nan\n", " var_w (time, range) float64 0.0812 0.2858 0.05532 0.1414 ... nan nan nan\n", " var_uv (time, range) float64 9.568 10.01 2.939 -0.8213 ... nan nan nan nan\n", " var_uw (time, range) float64 -0.895 -0.6348 -0.3155 ... nan nan nan\n", " var_vw (time, range) float64 -0.9987 -0.7313 0.2783 0.492 ... nan nan nan" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "turb_data.var_comp_ds" ] }, { "cell_type": "markdown", "id": "b2e4789f-8927-4ab6-b482-94bb68967696", "metadata": {}, "source": [ "Below we will have the first impressions of the retrieved data. Note that there are negative variances, which is mathematically impossible. Those negative is a known artefact of the 6-beam method." ] }, { "cell_type": "markdown", "id": "38243d49-3252-4237-9236-eb2455fc9a9c", "metadata": {}, "source": [ "### Step 5: Visualisation" ] }, { "cell_type": "code", "execution_count": 9, "id": "cc0468de-2780-47b8-94a6-f0e06d3b5efa", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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AQERHAagCsHdcv5DiGsQMwUZeoeOvWIXNoSYFioOV0wgx05RVerWRXDjaH9Tt7H9fXzpPzmKlFsLCgKbBWJtdO2S+THN6A+74nonYPR5H45xsTSK2iWmYNsw8SEQfBXAHgCSA65l5HRFdDeARZl4L4JMAvk1EfwNRy9/PzBPyRb2DcBzHGSOEmCamGPti5tshoavhsiuD988AeMXIJBwdE9pBENFmAAcBpAAMMvMaIpoN4BZI3O5mABcxczsREYBrALwBQDekV3xM93MJJPYXAL7AzDdMpNylzGizleOMyiqrzDkt/20OCABI6tvipZ2B/lS25jBYQBPJ3a5QCGOkwRTfPjeE0rO4Zw5DZWvnzk8x0pkRR0tyZE7qkmEyNIizmHlf8PkKAHcx85c1S/AKAJ8G8HoAq/R1GoBrAZymHcpVANZAngiPauJI+yTIfsiQ+6MLq3MWm7e6ujrqIMyJXN8gtqaBQdmmtzsyDZWVp7SttNnfMVhUnoyJSg8xODi6H/PQSX3OTGM0A4EPjkOJ1WQCKI+RuFdqxfqmQtwLAZgGcAOAtwTLb2ThAQBNRLQAwHkA7mTmNu0U7oR68B3HcaYD5oMY7uUaRDYMSehgAP+pySDzmHmnrt8FYJ6+L5QgsmiI5c4EYmURCnHvMW8CADQ2RUOmiursNvtekqH7jq39mWW5ORZDV+7U/6q3hzfqaLSJQlm7bnZyxosR5kGUDBPdQZzJzNuJaC6AO4nouXAlMzONU/1bIroMwGUAsHTp0vHYpVOEM9f9ctg29xec6lH+5+ZRjFTtzo1QKWRGsnXeCTiTQQLjlgcxrZhQExMzb9f/ewD8FFJnZLeajqD/LbmjWIJInMQRMPN1zLyGmde0tLSM91dxHMcpSlmCURHjlYhRzXU6MWEaBBHVAkgw80F9fy6AqyFJH5cA+LL+/7lushbAR7U41WkA9jPzTiK6A8CXiGiWtjsXwGcmSm5nfBgqI/bWhnOzPoe5Erk5GhYdNTCQv590WtpaNFQYlWLaSm50VqHIlaFkdZw4JBDPxDQN6gqOiIk0Mc0D8FOJXkUZgB8y82+I6GEAtxLRpQC2ALhI298OCXHdAAlz/QAAMHMbEX0ekmEIAFczc9sEyu04jjMiKGapjVJjwjoILVd7fIHlrdA08ZzlDODyIvu6HsD14y2jMzVcdCB7HoiHTrogr81Q2d471fHd1SlqwkBOhnZIrsZQyDEeR8sYCtdAnPHKpJ5ueCa1M+Wc+tgviq4L8zGKMdQDPSr5UXydYVFWqVTx6VYzCVjB/jIT4Oj+hooAc2YmZQSUx/DollgahHcQjuM4Y8U1CMeZAoYajVtxPpsKFeXRuty5JgoVLkynCs9QNtx2ucuHKv3gHBrE7SBcg3CcSWKsFVsLJc8B2aan3ByNQlOrmg/D1rlP4tAjbhSTaxCO4ziHGB7F5DgzjDhZ1rk5G2aGGggSniwz/OJONzUdqpTrhEHDEUfLmE54B+E4jjNG4moQJdY/eAfhOEORm7PhOIWQDqK0ymjEwTsIx3GcMeJOasdxHKcgyQSjLDG8BlFqjmzvIBzHccZIAoxkDBMTeTVXx3GcQ4uEO6kdx3GcQsR1UrsPwnEc5xAjbrG+EusfvINwHMcZK0TsGoTjOI6TT+xqrhMvyrjiHYTjOM4YIcTVIDyKyXEc55CiLAGUx8mDmARZxhPvIBzHccYIIWaYa4nZmLyDcBzHGSOJmE5qeKKc4zjOoQUhnvmoxBQI7yAcx3HGSoLiltooLbyDcBzHGSNJmpnF+ibcqU5ESSJ6nIh+qZ9XENGDRLSBiG4hogpdXqmfN+j65cE+PqPLnyei8yZaZsdxnJFgeRDDveI4qYnofH3WbSCiK4q0uYiIniGidUT0w/H+PsZkRF19HMCzweevAPh3Zj4cQDuAS3X5pQDadfm/azsQ0dEALgZwDIDzAXyLiJKTILfjOE4srBbTcK/hqrnqs+2bAF4P4GgA79JnYNhmFYDPAHgFMx8D4BMT8qUwwR0EES0G8EYA39HPBOC1AH6iTW4A8BZ9f6F+hq4/W9tfCOBmZu5j5k0ANgA4dSLldhzHGQkJRBVdh3rFUCBOBbCBmTcycz+AmyHPwJAPAfgmM7cDADPvGd9vEzHRGsTXAPw9AJ3qHXMAdDDzoH7eBmCRvl8EYCsA6Pr92j6zvMA2GYjoMiJ6hIge2bt37zh/DcdxnOIkE4zyGK8YJqY4z7sjABxBRPcR0QNEdP74fZNsJqyDIKI3AdjDzI9O1DFCmPk6Zl7DzGtaWlom45CO4zgAAAKBkIjxIgB4hw1m9XXZCA9XBmAVgNcAeBeAbxNR07h+oeBAE8UrALyZiN4AoApAA4BrADQRUZlqCYsBbNf22wEsAbCNiMoANAJoDZYb4TaO4zhTDoFA8dOkf8LMVxVZF+d5tw3Ag8w8AGATEa2HdBgPj0DkWEyYBsHMn2Hmxcy8HOJkvpuZ3w3gHgDv0GaXAPi5vl+rn6Hr72Zm1uUXa5TTCsiJeGii5HYcxxk5cbSHjAYxFA8DWKXRnhWQZ+fanDY/g2gPIKJmiMlp47h+HSWWBqHO4ncDOIyZryaipQDmM/NoHtSfBnAzEX0BwOMAvqvLvwvgJiLaAKANcmLAzOuI6FYAzwAYBHA5M6dGcVzHcZwJIUEJJOIEVw6jZTDzIBF9FMAdAJIArtdn4NUAHmHmtbruXCJ6BkAKwKeYuXWMX6EgcU1M34I4ml8L4GoABwHcBuCUOBsz8+8B/F7fb0SBKCRm7gXwziLbfxHAF2PK6jiOM+nE0A5iZVIz8+0Abs9ZdmXwngH8rb4mlLgdxGnMfBIRPQ4AzNxuCW6O4ziHOkQJEM28akxxO4gBTeBgACCiFkShq47jOIc0hHgaRKkRt4P4OoCfAphLRF+EOJE/O2FSOY7jlBCEeD6IeFrG9CFWB8HMPyCiRwGcDeks38LMzw6zmeM4ziGBRSkN3660iBvFNBvAHgA/CpaVaxyu4zjOIQ1R3DyIye0iiOheAH8A8CcA9zHzwZFsH1ffeQzAXgDrAbyg7zcT0WNEdPJIDug4jjPziJdJPQU6xHsBPA/g7QDu18ztf4+7cVwfxJ2Q7L87AICIztUDfg8SAnvaiER2HMeZQZD+Dd9ucmHmTUTUC6BfX2cBOCru9nE1iNOtc9CD/hbAy5n5AQCVI5DXcRxnxkGaKDfcawpMTC9CMq/nQZKRj2Xm2MX94moQO4no05DSswDwVwB2a+irh7s6jnNIIz6IGE7q+PWaxouvAzgTUtTvRAB/IKI/MvOLcTaOq0H8NaRo1M/0tVSXJQFcNDJ5HcdxZhbx6jBNvg+Cma9h5ncCOAfAowA+B/ElxyJumOs+AB8rsnpD3IM5juPMVKajD4KI/i9Eg6gDcD+AKyERTbGIG+Z6BIC/A7A83IaZXzsCWR3HcWYkiZiJclMQxfRnAP/CzLsLrSSiY5h5XbGN4/ogfgzgPyBTh3olVcdxnIC4tZgm2wfBzD8ZpslNAE4qtjJuBzHIzNfGlspxHOcQo0RrMQ0pdNwO4hdE9BFIPaY+W8jMbWMQzHEcZ0YQv9TGtOtEeKiVcTsIm+ntUzk7Pmw0EjmO48wkDulqrsy8YqIFcRzHKVmYAY6REjbkeH180ZlAFzPz1iGa9Q+1j7gaBIjoWABHA6iyZcx8Y9ztHcdxZi4xO4hJ7CGYmYnodgDHDdHm9KH2ETfM9SrIJNlHQ6bCez2AewF4B+E4jsPpmBrEJKoQwmNEdAozPzyajeNqEO8AcDyAx5n5A0Q0D8B/jeaAjuM4M450GkgNDt9u8juI0wC8m4i2AOiCuEuYmV8WZ+O4HUQvM6eJaJCIGiBzQywZlbiO4zgzjbgaxGQ6IYTzxrLxsB2EOjqeIqImAN+G1PPohGToOY7jOLGd1JPbQTDzFgAgorkI/MdxGbaDUEfHqczcAeA/iOg3ABqY+amRHsxxHGdmMj01CCJ6M4D/C2AhxPKzDMCzAI6Js33sGeWI6BQAYObNcToHIqoiooeI6EkiWkdE/6TLVxDRg0S0gYhuIaIKXV6pnzfo+uXBvj6jy58nojGpTI7jOOOO+SCGe02+D+LzAE4HsF7TFc4G8EDcjeN2EKcB+DMRvUhETxHR00Q0XCfRB+C1zHw8gBMAnE9EpwP4CoB/Z+bDAbQDuFTbXwqgXZf/u7YDER0N4GJIj3c+gG/pPBSO4zjTA/NBDPeafB/EADO3AkgQUYKZ7wGwJu7GcZ3UIx61MzNDfBUAUK4vBvBayFwSAHADpD75tQAu1PcA8BMA31D/x4UAbmbmPgCbiGgDgFPhPhDHcaYL09QHAaCDiOogJb5/QER7INFMsYibSb1lNJLpSP9RAIcD+CaAFwF0MLPFg20DsEjfLwKwVY83SET7AczR5aFKFG4THusyAJcBwNKlS0cjruM4zqhgToM5TqHrSe8g7gHQCODjAN6j76+Ou3FcE9OoYOYUM58AmY3uVACrJ/BY1zHzGmZe09LSMlGHcRzHyYfT4ocY7jX5GkQZgN8C+D2AegC3qMkpFhPaQRgaAXUPgJcDaCIi01wWA9iu77dDcyt0fSOA1nB5gW0cx3GmHk4D6cHhX5Mf5vpPzHwMgMsBLIDMSf27uNtPWAdBRC2aOwEiqgbwOkh41T2QzGxAqsT+XN+vRVQ19h0A7lY/xloAF2uU0woAqwA8NFFyO47jjJjp66Q29gDYBRl0z427UexifaNgAYAb1A+RAHArM/+SiJ4BcDMRfQHA4wC+q+2/C+AmdUK3QSKXwMzriOhWAM8AGARwOccz9jmO40wOcZ3Uk58H8REAFwFogcwM+iFmfibu9hPWQWiuxIkFlm+E+CNyl/cCeGeRfX0RwBfHW0bHcZxxwXwQw7abeFFyWALgE8z8xGg2nkgNwnEc59DAfBBx2k0izPyZsWw/KU5qx3GcGc04+iCI6HytGrGBiK4Yot3biYiJKHbi20hxDcJxHGespHlcTEzqs/0mJKhnG4CHiWhtrt+AiOohuQ0Pjk7geLgG4TiOM2bGTYM4FcAGZt7IzP0AboZUk8jl85ByRL3j+jVy8A7CcRxnrMQt1idaxjuI6JHgdVmwp0xFCSWvcgQRnQRgCTP/aqK/lpuYHMdxxkqa5RWPnzDzVaM5DBElAPwbgPePZvuR4h2E4zjOWOG4PohhO5HhKkfUAzgWwO+llinmA1hLRG9m5kdGIHEsvINwHMcZK7HzIIbtIB4GsEqrRmyHJAxb9Wsw834AzfaZiH4P4O8monMAvINwHMcZO6k0MBijwMMwHYRWsv4ogDsAJAFcr9UkrgbwCDOvHQdpY+MdhOM4zlgZpzBXAGDm2wHcnrPsyiJtXxNHvNHiHYTjOM5Y4ZhO6skv9z0mvINwHMcZK+PnpJ5WeAfhOI4zVkYW5loyeAfhOI4zVlIpYDBGsb44WsY0wjsIx3GcMcJgcAzzUanpGN5BOI7jjJXYUUyl1UV4B+E4jjNWYjupJ16U8cQ7CMdxnLESO1HOfRCO4ziHFtN3ytEx4R2E4zjOWEnDE+Ucx3GcArgG4TiO4xTEfRCO4zhOQWZoFNOETTlKREuI6B4ieoaI1hHRx3X5bCK6k4he0P+zdDkR0deJaAMRPaXT6tm+LtH2LxDRJRMls+M4zqhIp+O9SswHMZFzUg8C+CQzHw3gdACXE9HRAK4AcBczrwJwl34GgNcDWKWvywBcC0iHAuAqAKdBJvS+yjoVx3GcaQEjqsc01KvEmLAOgpl3MvNj+v4ggGchk29fCOAGbXYDgLfo+wsB3MjCAwCaiGgBgPMA3MnMbczcDuBOAOdPlNyO4zgjJpUCDwz/8lpMBSCi5QBOBPAggHnMvFNX7QIwT98vArA12GybLiu2PPcYl0E0DyxdunQcpXccxxmG2GGuEy7JuDLhHQQR1QG4DcAnmPmATrQNAGBmJqJxOWXMfB2A6wBgzZo1JXYZHGf6clPlOQCAtAbpJJLF2yYSlLesukYMFXPnlwMAVp0oO6qbPZBp03NQdtrdIW16O2Wb1EBk5Kiolu0a5sp21fVSPZUCO0jr1ioAQPuubCHbWqNKq/19Moo/b8uvi3+RkZJmIOUdxIggonJI5/ADZv5vXbybiBYw8041Ie3R5dsBLAk2X6zLtgN4Tc7y30+k3I7jAPcc8UYA0YN9cECeboU6gT596JoFxdqG7G+Xh/QLj8tjZ9Fh+T1Nf48s6+2yJdF+amfJ+7IKOUj5ojoAAFVF+5m3WNZVPtULAOjYVQEASLZHx7CO7teLX593/NHCzOAYGkSciq/TiYmMYiIA3wXwLDP/W7BqLQCLRLoEwM+D5e/TaKbTAexXU9QdAM4lolnqnD5XlzmO40wP0hANYrhXafUPE6pBvALAewE8TURP6LJ/APBlALcS0aUAtgC4SNfdDuANADYA6AbwAQBg5jYi+jyAh7Xd1czcNoFyO9OcXy2UGIWychnJLl5WCQCoqM53AM5d0QMASKek7WB/NCaqXykj40STbF/2ssXy+TVfmwCpR88dy6KRbu7oPZ3OH9Un9Cv29+mIW89TIhgODg5mb1doxG/bpYfI/8ocPyltKytVjur8/djxz7j2CAAAVVZk2nBrh+yvTVSH1NaDsjwYlZctk+DFxGHzZfvFC2RFRU2mTfdXbpPtB1Xr6Zdj9/VF+zFtZzzhwbQ4oYejxCKZJqyDYOZ7AeTrosLZBdozgMuL7Ot6ANePn3SR+gwA6SK2wzDgwG7ycv1/5BpRl+sWR7+6Oz/01wCANy9/z3iKekjyk6Zzsz7bAy0kpb/HI08QE0Mymd+m+siGosdILq4HACTWHC0LyuSBxTu/lWlDCz4SX+hRsO5Vb8m8f/apbgDRfWcP377e4CGp919SrSqpAs+kZBEfQVlZ9HO0/Rh2zOrqRF6bqGPJ/znbJGopfQB3dYpAFVXRfqrUB5HURTu+/rwsr4/8AoN9svJgqzzY97fK8t6e6EdYUdkBAGiasx8A0DjvLwCA8sqoTfsO9UHsFVkPHhB/RabjAjCofo30eD6sY/sgvINwHMc5tOCYeQ6l1T/M/A7i3mPeBADo65VRRqGRaC6mjoZqd2bkpqOgh+6U/6/5qygS44KqTgDRCHSiR5+lijkHTdUPz7Ndn0IjYyN35Pf8E9I4HCFX6gi2dlZn8R39RdZVPyFxElQjo1fujUa2+9b9CgCwd3v2sHzvrui6F4uGuWvlG/LksdG4jarDEfvCJaLB9HTLebHRc32gBKVMu9DRamVlcTfigJ7L3u58k0quM9nkqW+MvqfJmk7naBsFRsqhCQcAamsjuWrr7LuruadL2g70lWfamHM6PSht+vvkGtjvFgAGBswcRrp9ZZ4c7Rqt1NU5WFAuIPoNDxQwq40WTgPsUUyO4zhOHoMpIJYPwhPlppz01vXo+pvXAQCOe6Uss3jqlI5QUgOBTVIdlxaLbQUXa2dFI8myCun6LRa7rFw+V194TKZNX4vk7w2m+wEAW9u/I/spj26KpXWXFRZ6IBiFWmB32XlZTbjjv6ImTe/JXrZ1g3w+mIkPROKMrxY+1gjZcbGMhBfefPuwbf+4Wnw75rQMR2kWf25x9ObPyfL16P+KyuKj1oqq7NF8ofBLG3m2bpNRpl1T5nw7Om+CyqWj6bqojcXj19SS7kf+z18YOViffPmF0qZBt6+Ve+TU8yIto3yROFLT+/vkWHUyet7+5+ihYlqqaRt7dw/kfa9c7ckc0aED2uz/ds5MOwjPoZ3zjObQIOe0pi7aUTJhdvzsB18quF52fNu37Tf0HVgehF3T5mUSgposi+Tp0vyHSj13LepcNt9EuO9EQt6UVdr5ieQZHKjKkqdaneWhJmH3i2k22Iexw4gZ5joOx5pEZmYHsXgOev5ZHqDNlZJVzW1bZGWn3g37OjLtef8BAMC2/7cRQPSgCG/gpD7kK+eoQ7RF7rzEKyNn9z88tBcA0K838sGv5qvAqbIfAADWny6RGMtWisNtMEgIOmq5OCsvWPZ9AMDpepVaa6MHxZwX/hkAQMtPkO98rOxvIN2XaVOZvkveaIeTvu+XIt/d6zNtXvydfB9zLhaKZpk1Rx6GvW+8QI6hP9qyoOMzp2BXZ3YnEJK7b+s8wgeXdSy5hE7VXBOHRdkMBCM420/7Xs5q099XfJRn24Rmja4uGSSYWaJCTTrhd7GHdlV1dkJYfUvUQVQ2aqTUMrEXUaWcoKULo+tV/wcJ1rfY/f3tdm0iecz0Zo7oQmaSPv2O9mCOY9ew79PfG34vOa6dj+gBHW1n942du0QB843tu0J/Dr2dckPXL472U64dSkWj3lvdct5TgQM6/D2GhIlyLcvknPd0ywmy+6arM7oWQyX6jRpPlHMcx3EK4lFMpUPnk23446IfZi1L5PjyCoWw5vLywMJjzjOLVEjtlfj6rr/7l0ybfzlBykolZomai/+hB53dmGlDc5oAAL0/+hEAgP8cmbEysj5XnvW5u11Ucm6Lhj4H1NRV96pnRSw1XZSvbM60Gdyp2skW+b/1PjOvRSfDnHpmYjCVvDxQfnZuk9GXjaJNwwpH8jbK7dGRoIUVpgqYXCOTkO0vXzuYNSf71oxGw5G5wExUZhYpLwtNMfLfzBpmCnlpUzRit1FueZHrDwS5AJnDp/WY0bUIHc1AdA72bq7KLKtpF4d4RbVoq/09+c7l7v2iObQsl+tdXS/3QfeB6GJEGcbZVAZ5B3Z9KOcQ3Qei72kj/317B7NkDs1JhbRJoHB4qF0tc3Jn5WUkzZQo27Wp2a9jVxgEolrKNsu9yDYNAkCyPPu4iYT+FgejY5kJsaJK1rXvM2d1tKPyAnkhY8XzIEqIxgUJvPETtQCA1A75YaZ61GzUIF85dSCIwVZ/hEVS9HfLnTPnQ6ujndqFtcDvMj11FdkPcwCghdJR0CypHMIHd0cr93eIHGpySB4jD3QqD/Te5iZZtmKZfE7Kg6P6uecimf+yAwCQOPlI+d8gSUQ0e1kkxwGpiZgcFJ/IyjNl+y3/vjHTZvHh8j+RUN+KqvT24wOA5mW2TD6bicmSkAAgNSDy9xysyFp3cH++jb1bH06h6cQw9b9xVlnW55rAvNYnfTOq5BJnOm8KZB7QfsAecvYADX0bjbNk53Na8q9hLrkPxbBTsIeqmZ/qGuQYrbui77e/Vb6PdZyZHIMCZpP2HXJvNM3vz2uz4yV7gOr3Un9DVxCsVVtnD2n5bJ19+N33t1sUVHbnGH62/VhUla2zTiXEvo+dl3DQ1ZeTI2H3RNgx2/W2TntwIP/esAi33I49HYxCbF1/zjELRTONZx4Ex/VBjNsRJ4cZ2UE4juNMKnFNTK5BTD08kMpoDr0dMsqoPbouq02iJnJaVS2UdWamoXIdeoVzzObON2sq9K4gBELtGtzdo/91xF8VmQjSL0mKaP+LYvZJ6jHLFkTy8TYpM1A+R+dFqqvLk6HsaC03cOQZIka3RDHd+FxHps0cHTYvV1PFvBOOBwAc8/XIOzjwswdl1zvFdpFU81hKzVoAkJwnQ3XuknM2sEvWWdQXAPR1yXsrzltRrT+E/ZkmmRHbvMVy2+14KX8kapiWYVE2A33RaLMiMwqXNr39cuyXNvQX3Z8dO9RabJTZok7lZIEidMVi5cMRaW7kTrlqg/2BWaNHtZ523Z9pL2Eeg30vqs6OCKquj6774hVyL5nz3TSk7CgdOa9m2olMcJH8ZsKrUpn7C4ywLa/Evod9h0KmJ9MuTIsKTYIVlZqP0SNtzJwZVli196YV5JoY5Tvm580AQCKwFbXuHdBjyn6qavK1w9Y90iaT31H8tolPiU4INBwTOaOc4zjOoUGKwQPpYV9xOhEiOp+Intfpl68osP5vdSrnp4joLiJaVmg/48GM1CAGehLY9ZyMtMwZeOQVp8jKDi0C1h4MbWtk1JzUETrVSsz6geNflmnSl5LQ0yTJKdveLaOQ4zjwHfRLm4xnbUBH4WVRzHyiTvadWC8hjWVaD4h7o1FiareM5geu+4Mcs1m2KT8immm171Hxa1QlpBju/FNfDQD4++OitFtu35otj42YAnnK37RGFu0WTYiOOFIP0B19rxxvXmWb1EqsDXIuZj35EgBgULUfC+Os+Uv0vdY/kT1CtwzfMOwwyobOLiK3rzMabebazdPpfE3ENI/aumzZw5GpOVLr9JRV1WX7YUJS6lPpbJMRaZhJbQ5ek9XKWhcKfrBwW7PD9wahwmZKNzv+3u0VefuxMNQd22TYa+diqKzgIzUkO6x9NGvh8MPm1pfkN1TfKL8P80XY9wuZ1SzntXG25hjMivbfvV/W9XXJ/1b1YYQZ3lFhQNk+9F0Z5k/o6sq+PmGwhGlCpqWY1T+8xyxPxIIucDDvUCMnnS4ckZHLMP0DESUBfBPA6yCToz1MRGuZ+Zmg2eMA1jBzNxF9GMC/APir0Qk+NDOygwCiZ6JFdPDTEvtv0UfpzugGTneoaalKToeZmBqqogcp5i3UN/rjb9J49p7oimfeWUdhYSSd0R1Ih60EAFQctR0AMLBeHrZheYctj2onoo5wK0bWdXt7pk2flimo/JNkeS1a/WzuKcg4N3OL2IURXFbltGaVmJEST2+TFeXBg1Udhqk26fB2PSQ/1IHeIBoqk2+QHWTeujc6mJlBujtzH5xBxEtldkmTvpxELADo6sz+PvYwMLMNAKw+VYu01WY/aELHem4UiwUrmLkMiCrEUr0cc+dmLSoXRPvY8QfK7GGU/bAD8k049jks/VLooQhkm2usU7MH6tEnl+nnaD/lVZa3oCad2dKRl82J7ufkvCb5P1se/lzIKdwveT2VB/UBv9VMZ9GxrCO2CDLrhGqbovuZcoIbCpEb0daiP7dkRXSsvi6559v3ZpfNKZRzkXHQWzBAMrzu2UEX4wGn4zmpY4S5ngpgAzNvBAAiuhkyHXOmg2Dme4L2DwCYsOqgM7aDcBzHmTTGL1Gu0BTLpw3R/lIA4zg1XjYzsoPo7WE896SMIFeuFjV583fFhGKjmDC+2mrHJzMjQDU1/OHRTJtE2SMAopFR80dOAACkh6oqZ4QO7q27ZH+rpJZ95UoJiR18bEumSfIp0W46WgvHfYuM8t9Gkns26UgwKKxmGsS8laI12Yi/dkFQ9llNXKY1sZrOKBE595LqQE+umA0AWFgjxe1+85XIxGSj3+a5cktZiKSFL4bYyNpkX3pk9L1sxG/Xx0afPQei/XTvl31buGuhUMb2HTJarlIHr+0nLN1g2oSFx9q5C3MUEjnal4Vfhmaf3NDKKE8k76vnEbapzil7EcmQb6rKaE1zRasLQ2EtTNs0iAP75FqWHwyCHHaIiZUSHQCATi2zHeZOHNwnpqlMqLBqd3PmRtfCzGFHvE3kKV/VAgDgnsgEV7FFcj+S5aJZV1Rrfsf+KHjDStlYPkR1o8i6bX10LnbtEE3ftEuz6DQ1RW3K9Rw2z9OKB6pZ2Sx08h1V6zFTYhT1PWokzDVeOwDvIKLvBYuv0ymTRwQRvQfAGgCvHum2cZmRHQRz9KPdukluVPtBJZL5kRCmtluSj8WfN58T2fwz+1Y1cvBpeaCn1WQFZJutAKBPk3R2vxhlMfVrczPz2IMmlGfB4f0qR+73ih4UuVN5m6nIYuiBKKnKHhgvPaslMx6J7uSaOnnAWJ7B3BXyuWpO8ADcJA+TRL2aKPSXuWxFgVIiaXuYyDHDBKXchDL7zrMPj85bor4y6xhGxY7e4JO0GeiT62V+hWRgzzdzUUfO3MShGcc6llwOHsi3z5usharNWtkLK7VRrFxIof2FZigr0VHIRGVYRFJdk0YWaSRZmPxo95Zdd3voh/XHtm+R34UlSg5qrkyYAFheJjtaepic7+Unyw1VvqIx06ZszQo5xurjZEGvdAb4S2DyVL9UrUavpTShrLwy3yyWW+amujoaqKxaLYOgRssP0Y59ILg1+nvsO8r+zERVXqBkR27nPxbSKcpK2CuGdiI/YearijQpNvVyFkR0DoB/BPBqZu7LXT9eeBST4zjOGGGWAdxwr+JzqGV4GMAqIlpBRBUALoZMx5yBiE4E8J8A3szMeybi+xgzUoOoqiasPk4jk1TFtNGTmRxCB6uNvutmy8ik8Qgdle2OInlsYnSqDxzXAMqPmpN5P7ipA0Dk8KvQEWAY728jx+qcCptVgSOy+0D2ZQllNWz0ZGYEM5309OTruaY5bN4gQ61Cc2JY9FDiSStDEDr+bHTXm7VNTxCFMltH8SuPkhFfRY1854Vzo9F4VEk3u7JuOOm8mbhyCQu1VTdozf92zbbWdXVzovPctCg70iatmsz+PdH1O7An+1pu3pA/EMsUqNNRfZVqfCsOr8pra7H3tk1PgXkYDHNyFyrzEeYHANmaxOyUFrprytZ208HoNaFKWHebaRca6RTcR3M1yCETEdSbr1mbKcfyBubslmM3JA5EbZolmi79gmTtm6nSIvEAoPs5yUk6uE/Od1+3OZujY5Vp7ojlomSy9oN71TLCZ620JZqt/1KkzuUGJZjWHZp/rGLCQO/wI/7YjMzENMR6HiSijwK4A0ASwPXMvI6IrgbwCDOvBfBVAHUAfkxEAPASM795TPIXYWZ2EC1lWPVhLT1RKz9kq4HE+zUMc1UQOlwpUUO8Wc1GG8VPkDxmedTGIhQssqlMH2rVkfmo/GS14z8tCXL9v3xRlgeFjSzSJhPimTBzQnSoHWoTzaxLZ1fTlHXyPxP6l1NVE8iuTQQUDrssZs7IOlaRNmG4qT0cLamrokYrgQYRQVZW3ZLebN1Lz0YHS6ezJ5cx9ndEpobBTLLZYJZciWR0O1vJ7Zplcr0qlqlZ5OFdyMU6rBVHVOSt6+4yU4fKpZ1R7oNIZJb/Zv5rCNaldBBiD/LKSpF125Z8c5adV7snEsF5Nsvbtk36/Rr1+wXzcSfVF2LnwMxQYURQ3WxZt6pcfh92TvcE4bs2kLDkt45dInM6HbUp2yMD2Mbj5HeQ1KRTS64EgMTz0qFkyq90yPIwGiq3bHlPJgQ6+u6dGpk+b49c94o62abl787ItMn4+yr0XtCwclRHV4OapCz/QRvwVPwSY4WZsvx/Y9sX3w7g9pxlVwbvzxmXA8VgRnYQjuM4k8kIfRAlw4zsIPrbBrH9hxK1ZElP/T0S37/gFRrR0RmYj44SnZVffi4AIFl/n2xz9CmZNtu7pDjeti4ZsVnY+NNt0Snc2a1ROcskkuONXzkJAHDGXQ9m2hz8jSSU5aq+YRy7jTbLazS6Rkd3lqQFRKPxaB4JVe37829SM0OZKW3vzmj0u2+PTeqebcYKfcTFHLShecTed3XY+ZBRXhgVY9/VnJPllWZKic5h295U1rFsRFmRJZ9GEplZTEfYYbXSnffJPudrcbuWrTLSrV4ejWzn6qg3rfkdKS17Ema7PnWHJcbJukLF6Oy9jYJ7ujmvjRWUm79IzSx9+U+KREYpzXZ2h3H+pi3Z+d63VeSbNT8ox3GpJBGkdom2XKlJmFTAeW65Lb0vaaTbYGQ6Mw3Gkg0PdMiCWQuDAA/VqKxMTVpNhGHpmMolMopvSchvbt9OOUahhDvDSqKEBQaPOt5k05Iv+nvjTduiDedrNeMBjcazYppBtdtMoihnm0zHguRBxGk4boecFGZkB+E4jjO5UMHZCnPh4Z3U04oJ6yCI6HoAbwKwh5mP1WWzAdwCYDmAzQAuYuZ2Ek/LNQDeAKAbwPuZ+THd5hIAn9XdfoGZbxju2BUr52LRf38cAJDYp/kFOyT35GcNqwAAd26PRqRdn7HRl9in6z91BADg4Nvbgr1mOyUHtJREeTBD2QHNSt14gaz7yCIdUd4fRamZvdumLq06XfIhKLC5969T7cfCCc3GvikqD8LdOYUF1cnHfdGo7OBuC/9kPYbZ6iOfyLzF8n7vjuzhT6EpGk1bMUd46JMwp6tpHvUHdH6JwPmeGf3q4Ze9XEZ5dfuiUOHyyuzQWdN+mpdGo726k7LDjy0LPdFSE8n/kDhNLSSz7JgltsNoQ81UT2pAQ0W9FiV8IcpJWblb9mPXy7SwENOSetXWXz9P5OHQ4au+gspX6vWepyPdmnxnd4ZmsZUjFfkpBtdKEq1pPRYQkaiP9kNnnCnHXL9OPrfMzt+33m/J7eJkLntR/i8f3JtpYvkTSc0LSpbb94vu+Y7tGiiwS5ZVNmghvMro0ZJsluG7BSAccYrcu41B+HeNBh6YRtLZlj8fhL23eTYscGHvtZHMg31SDLO6UfbXtsvKauTnrYT35lhxDWLkfB/ANwDcGCy7AsBdzPxlLUJ1BYBPA3g9gFX6Og3AtQBO0w7lKkgyCAN4VOuStA914P50H7Z2bgIALGmWOO1E82EAgJ+91R7WxbOYDn51+Ayn8gJTVzZYKYrfy0MpPfg7AMBLj0QPPbNTWjz+Yfvl5i4LHIj2IE/t0DIc6fwSEJyu1LbQ7dXsEphiLGKnvjk7MiisDmoPvMOOy04oC292q6VjMloUSviwNAekOUYTGkOfLhAxddg35AH2b11SVfatyyNzX1IdvOV6DiqT8jD4j2ASpZ/fM1eOtVsenD21su5950YRfx+uuxsAcODXMjBoOEq2QW8QVbVbbiObPpbN7BjM8VGjztzcKrdhh24RUlWSc5iJHgpLS5Tt1yiqGzcDAOa8tkOOeTCSxyLkbN9UK+VhwjIYAxtku14tN1F3bHaVYgDo/OxNAIA+Tfiz3JgwEsyi+fq6rO6Tmh93hSUpLPBBPi9doR1Gc9QRNy+2Ccb1O78o5zSsBmz5QZWnaHKofr/ye6KOOMytAIDZ1gEG56dPg6csf6HubOlAzbwVvk9rdZv5mSTIIBBC971/T35QwmhJpxHPB1FiHcSE5UEw8x8BtOUsvhCAaQA3AHhLsPxGFh4A0ERECwCcB+BOZm7TTuFOAOdPlMyO4zijgdMU71ViHcRk+yDmMfNOfb8LwDx9X6j+yKIhlg9Jksowu7JJ3vdIDPannuoZYovh2foGMQmc/DIZIT1/vYwoZ+2J4r1XXimjqO+nHgAA9P+uA0BU6gKInMs16ty2EbuN0oF8VXXIImdlZv7RUMYCORO5+0tkjSRFFW98hZghbHQYmqqswKHlK2TMG0GBwXR3jsNRHb17no++V8aB3iamsv5yMfu853vLM21mN8uxentsRjnZT+8L0fc68pmdCNmyWnJRbrsvMqW87wMyjqh8WCoabPmm3EaLXhtpcxaSaZV0+aDIFcbwJ+p0hrw9IlePFq6rrs93sFp5DxuNh3NPpFMi/7EvN+1Qp4BLRt+rXMueGOZUtvMNRCPt8sNlXdlpUn2XWzsybcqWShtzx1ffLSP1QiaQTi2pktD/8xZGo2qbnrUyZ9rWnQ9EGuicRXKuLPcirYP5qiMijaDrCfnNlNtIX+2Qdm6BqGCmYVoUh+dHgxp6TZPWeyzRGFzTwyRAxLRAsjlVmgIzm1b/rdGZGnHL2EsZxS214SammDAzU269iDFARJcBuAwAlrbUou43v5XjLBG19u9PEBPTw1+Xr/yjT0Tq4PNrpKbFia8UE8VXT9PpIZNRxEulTsLyQp/8IL5zqSx/7JamTJv1v5Ab9R/+j5RG4ZNeLrKlovkgZ//0NwCAgzeKcvXQnbI8FSRCZCpjZpLp8s1ZmWkl9SHSONsiX4IIE31vHYxFSpVXRvurXaj7sYlVzLxRH9mHeaM+OHeKup/aX7xUdKZ2ktrje4KOb3+7mtX0x7tdT8uCRdH52b5VHpIVKmNVtZz3NRdEVsWl75KDvHyeyLG8XiLMdvdE17ROc1nwHomRX9Yq29+zIirh/oLK9r+Olqgffv5+OQVhVEy/mudU5uo2uf5hcp+FWlXeLB2XlYcIo5jMBl7T0K3bV+XtJ62+GCuVzhVaPXV9pIjbdbI2uFfnJA9MMeazyq0uSoE89gA2s0hYvtww31NziyZBaqmNipXRw7/8/NNVeHk68l6RlRqjzq5mQGS0udH3PiFtCw18zLwaJf5F5j6bm9v8XYs7xN9Q3xx99/qX63vtWBL7OuRzQ2R+5F2yrOf+HXnHHzUcz0kdI5N6WjHZpTZ2q+kI+t+uWrH6I7HqkgAAM1/HzGuYeU1LQ3WhJo7jOBNCOgWkBod/peNoGdOIydYg1gK4BMCX9f/Pg+Uf1drnpwHYz8w7iegOAF8iIgtbORfAZ4Y9SjIBNIj54FsVqwEAP/hPcVI2rxPv1ax0ZEY4SiNe2tfJaOXcR0QdPX5NNOr42+Nk5Pffm0Wr2PgNGcEttLTQgPOvF5NHOm21+qMszjvOkAipeQ/8HgDQ1yX7C80RFuNuceI2+pwzNxpNWRx9uxYENKd3mHlq8euVOtq06I05QTXXOi2FMbBBRthD1bQ3zYEKDCtsxGdqtmkOYfmKTBkQHZXv3acT0fREt+GRf8g2H1lk2JZAoznnVNE4ltaJPLMqZAzxzu8FU6C2LgUArH5UNIkNx0tOy+FPhqVrRJ6zb5DpWpf+Uqr32qRHALDjmezBRm6JEyBy/j7/pEWJ5WtYVlBw31YZBVd3aNmT/uHHaPv3RJqslb2oUKvKopVyLsLM7jDgAQB6DoopJSzHYbk2FuVjuQUhNk3rrh2ybv3DYn5s2hR9vwX7ROsyjcZMjZUnz8u0IY1oqjhX8o0WnSAj//SB6N5INFXbQeW/ZkRzECnHGhiS2qpT8p4i133gsUjjG3ixQ3eoOTJNGsxRHkUAkmph5SvCXPexISamGNqBm5gEIvoRgNcAaCaibZBopC8DuJWILgWwBcBF2vx2SIjrBkiY6wcAgJnbiOjzkAJWAHA1M+c6vh3HcaaU2D6IEmPCOghmfleRVWcXaMsALi+yn+sBXD+SY7dX1OK2JTJivO0u0QZSGiKX1hG2hUYCwI7Tpc2fzpcR5P5lmjcQWODq730KAHDFLLG/fusK0Uwe+sf84y/6ZWtR2freJzbw6ldLwaWWDhn9VO2L5DFfQUOzyBqNMgMtQ0eQvd3ZI9Aw47iuIXtEYxm+VqwMALr2aV5Gl2bUdqrzPHAPWTjrxqdlNB+VTg8zhbOzh82mHU75efyZ6t84UXw0vS/KMVtu60AxLHR4/bpoRHrbbBl5nv+EjBte90eJW1ixofh5z9YcsvnCJfK9vv9PUrL64b+O5gGpygxs1Vk+RAG+QoUSjUHN7B0ckPPbrKW9rcw1kB3GDESaWph1bed39lz5v+h94j8j9bUBAOZqjkWVaNGz2iTHgTXnAQAGHpf7rnmT/DBmz5dzEM6ytvnZ7LyXnVu1MGAqmLL2WZHDijPWzZbv2f9UlJtgzuTkStHCLQAibFO+skm+R3n2/RyG+Nq65BL1b2hdtIrXHZtp03/3On2TfS1Ch7iFEyfqxy/MldOUpVUWbRfLTzF9mJGZ1Pu3Mn75SblBlmDfsO1X3iU/nPbLRGXtHxS1vT8wt1S9+jwAQIrlB3DLlfKEXlFg/3uWiOravF1U4U9+O1LJy2/5MQCgWx1k+7aI+WAgCOKYtUCLkVVbLgFlfQ5Zkh34ggUXRmqzOS4tGqZvnTxAEzUFJvHRzqPxiOK3xJ47ZX9W0G2oeQ9sEpfQUbt5nT7cvvQNAMA7Lr4YANB+bPRQePSzhR+yRzwePdwGH5f/137xLADA4uuHTIuJTfq5zQCyJ+zJrdBq62pnRVFMlkS3oFXuCSukV2g+B0tA3LVV2oRmQzMp2rFsfomwk7UABpsyvO8JTXTbF+WSJOolYstMOxkHcvCwtci07c/J/WfzlIRTqXZoaQ0LJLICit3BPBpmqrIBhVXYrZ8dDB40D2LndVK8skaT2MLIvblWobUip5MMP5vzXaPn0prcl5gT5WXkVo7dsVGjvcqj62V5HXEmdIoLp6lgEmVeOzcxOY7jHFp4mGsJkZxPaPp7GSZcvFJGLz/eKCOK1q/IsKE1KCbWf6qse3yfaAMLazQEkIP6+Tp670upc3ux2h4yU4lHzN0qanuqTFX0wWg/yQsuAACU7/wRAGD+gIx44txcYSZsrqPYYvBfujVyxrXtzh7R9PeJGSGce8JGpD09MpK1on1VkV80Ey5rcyBkJoQPqmLkyhNma+dSccZyAMBOHbUurS3adEge+sfxMfravTL4Bzl39bOj/dp12bw+e/6GvUHV8IROKVejt5SFh4bmGtO2+tVcZJrIqotCM4dmUqspJTO3QlCKpEzLlnOXaHGWsTwYlGGBbnfwxexcjY5d0bE2SZI20lrGw0bVYYkV0xzmtOgcH1Uaqlubn21dv1w1Rs0t6X82MvdFAQwafKEZzGFhyW2/NGe7ZqWr0920s3D73PkurMQJADz3uDzSdmXNQDi+2kIhpNSGaxAlQVUZcMwsuRLzquWH9NjPJYqpeol83n94pJaesEpsoZ++SUo/rDxKfmxvPSb6Yd67Sx761/9MbOEW+TQUyUG52buD6JGBH94GAHj8Rq16mVOPH4js3eZPSGRr3QCiB7mp65kSHm2hD0L+29zN/WrGCo+Vuz+bMjR7MhfZd3VNdpkQROkLGRnnqKsgpc8mm8MbCBL0NIrpU4u0nlRNVFtp5bc7AESlNqp1itgvvT/qjSyyaffxTQCiXIkltw9vTizER4/RqTT7lwMA+I8v5rWxKqw2dWVfd3BNtZxIbT3pfy1FElx3ywExM9JRJ2muQzBBUjozH7g+UNUk1LcnmKPhWTElmR/JJopq3xWZqmxukPYcl8zAQHYyGhAlv9k919cb5tHIfzM7mYmp4Lwi98r/2jqNEgzMPqvWyA1YN0e+h/laBoMOwgY/Vseq4ghN3FwU2FDnSnSgTpKDxFrxC/a/EMls07aGpjKRPXqfF2o6DmEvzKUXwhqHGdlBOI7jTCbpdGGfUy6lFuk0IzuIrm2M+z4jV+I+rcK6DDKc2na4jFa5I7qY+/fL6PADF4jd4JULRD1d1dCcabP5oGgZK98nzuVrljUBAGpuj5yD1ar22wi3dY0M4V8Z1OrvfVLkWHGcxoarCh1GFmVmANMqmuYQrZoTjbhYJ363uvs22uzZHGk9u16QUVyfxo+b+SA0I1TmOGFtjoV04KAf1AGsaQ4W1bJgcXT71M3WCqa6nwbNr6g5MZqSNaHnBU0yKuQNz8tnir7XGs1Y3vHPEklkI8vvX/fWTBuapdclbVmzIkfvpU2ZNr9+SbTAn/3N8D/a/3mLaI53vVKcnsveHQ29+9U53rpJ5DKnbE9ndL069bzs3q7mkRqrIBodw7TBpYdp4Tx1mh5YF10vyyy2XAuby8QcrgDQvkfaWERRFNkWaWo2G5tdU4uCyp3zQ+QiXZcfVGCEMwfmYqazHSpPb49GMQWRV+mHhqhYmzmGVTnWc6gVYOm4I6JGNitcq0Sk2f1EicicNEenmu3rk3PWW2BmOssHytUyxkIqxVnToxZjiDSjacmM7CCSCwhzPi03/NtWyI1rpqb5NfKDrE8GpSQOaIXOKrXv7tGIGZvjEMBqNbKv1ofRygtEXf/nxZEv44Vfy8Nw2XPygGn4rez3W6+Mfpgf/+yFcnyd9nDgh7cCyK5I2WBlE/T+pXK52cNpHAe0/EIYmQJk+wLmLJHjz9KHms1J3BuEU1oV2NyErYaW6IHTvV9Lm+tEPxatMSeowlp5gtiWEmpeyfywW4JE+H5t33I4AGBrlySoJYOQ2oV9cl0628R8YJVo03+4P9MmcXiYXA8MPqr7CUZw510qEVLfv1hkbbr5AIoxp0XuiYMrReaGo16RWZc88U8AgK6PSYdlVVDDCXpq1J+wv1VLY+jDMZyTekA79No6DW+tzLa1A1GZCTMbmYkq9OdY5I8l3pm5MJxUyB7y1ilZFFQ4jav5UnLnfg7LYtu6Kp3a03JCQxOlJXjaMWrqbG7pTBO06xzbubKG5bZb1DRUvUTvHytf/2JUio3bxXw1qBVtO9bJb6arPYgEazUZbcKhhMoZDNJ0gNPfO37DedEghm/nPgjHcZxDDGbO0rqHaldKzMgOYuG+fbjy+98HEJk8zDFW+5GjAQDptkg7SGsMuaXlZ6iLHG105AoAwLcOSLXIhz6Sr9qbGSuXR7cHSTpHyYRF6QekmKCNlELtoPxkKROBMllH1TpfQVc0YjcNYsf9uYXP8utQ5do9w2gLG62aum2jz97OIOLlxWznppkc5u+Kzs9xbxTTHS0STYKWSPISV0bfa2/vZtm3ag5/aRNZV9RH+1/YKyN9Kx1ho+jOu6ISXBVPiImhT8uMlJVrMEAQV99yvhzjX18vWuEXbi5u5qi5QZzUH9NC9FtWR2afW68S89O8lffqsXSk3RAdq2unyGFTcR7UpMfB/qiNaV2WSGZmw3AehKoq1Qq01IdNOMQDoTYnbfpyCt1ZNBoQaQMWbWRaZZj8WFGTPdwtZBvPnQjJRuX9gYnS7O6R+VJLbQRmqYqcAAgjE+yAaPTde5sca8GjosXPXhTdG+VN8t37220ui4o82RvVotnbaVqvfJ4zP0zq1Eg0m3o3CAAbLZyKGSlVWv3DzOwgHMdxJpNUOppHfShKLdJpRnYQ6RRlMjptJNqwQMMMb3gaAFC1KBoh26xVladKuQKbHwAHo6FF8gRxkA2oKXv3W2XEPO+nw2fxJv4jcqJ9XKdk/NpRUtYheZhoJpmJ1AFQpTpxu3XfFTpSf/CBaKeqeVjoaPs2c8ZFTczxZ7ZksxeHbXJDXu1zGEWemxVtN3lbazSy3XO9jNjnaMn0sgXL5bsMRHuaW78i61hLy7X0wvqHM8sG738OQBQjb6PD0Ilfo/MmpLtFi0o2i5ZS3xyMSB/6CwBg4+mvBQBsOF7CnIcquWHM3xJd9+c6dET7kmggvZ3Z5wCIzoudZ3Mu9/fkO4W3b5D9vfiUDG0bg4zsAS3HUVkpGkhtk2ZApyMbe2eH7NOK9lnAQG1t/rEqK7VIn01ZGzgGTOM0X0hDi5YCCXxRgwPyvTpazemd/wDszSkvUiiE2oIk7PzYNqFPxHwEpsl2acmX1eXR76Jeqxj0d5tDW4v3BekeJn9ljWp6+vsI50AxLbBs7/gVs+Y0x4tichPT1JNOUUYVtx9A+1b5Ydqc0LXHRSaHtN6ogzrvQcUbjtcV0c3/tJp7ntR5nrufl8+dgVmqQyfbWayVUa3kxq+/GDxuVW9/4ExNlFsuN0zorMydQ7pSIzvsMxCZGszx3DhLp44M6vrbg8vmibZEp9Acsa8z2yRgP3BzNgJAi0yXkMm5MJNDeWC1MdOJlffg+8UkQ2e9Pmpk57O7Qz5qRdu2H6zPNNm5Xnba3podfVL2UvSQXNwlCRgLP6j1GbQmT9Z0olvlGOe1SEf+mis1uiUVXa/tXdLbX/5jCRjo0mt7xXuish6vamoCAHSuks5s31aRz+ZQBqL6Ons2aXmHrfmTCRl2CuzBbuUsgOgamMO2qyP/AWZmGnPwhmVBDHvYvrRRzDNxopiO0gi5qmAiJDPLztVpRS1SLXSaW9LbQJ9sv/sl+d/emn8OzPRVUUCOCK0XpjLbHBBAVLcq8/vQn0Moj5UM2b/H6oVld6hA9Ls4eKD4dRopqXT0OxuKEusfZmYH4TiOM5nE1SDcBzENqFzZjFU//QAAgHtEK6AGTfFNyFfmjsjpSXXieOYDmh19QJ3N1ZGDdaEWuKtVtbZWR8p1wVSJ24/XaQ3F2oIPfkJGuumHItNQ600v6DsZJZoGEGYc56rFrdtlFNXQHI2CzERgTmYb+YcVRZcemR2/bjHmYcmOuWr1sdyL2iYrcRDM0nXuYt2ByNzz243IpbNNS3UMiMM3fVDCE6tOCjLONcx1/3wx5TUukUqkDS+LZvaqP0LNEbPVjKSF3nrWR2nbDW8XR79VMOUtei2rInOEVepM/1Fm8KvQthVl0Yh75WGiKbbMk2HnssM0635fNMI9uUW0iaX//D8BAOXX/lCO2Rs4PXUOhOcfyS62V8jcYpQXyDcxR69tZ23C3AQbhTeq2c+2sQxtILKF58b5pwsYwHt0xP3sw7K/+sboHOaaKAf65D7s74mOtWOjzVZoMpqzOsiDsBwbM1EWeJBG22ueiYYIb34hug+rt+UeC3qsMGfHjquWg1a7JlGbAhM0jplUKqYPwjuIaUA6FXUM1ZrbsG+TfK7XjmL20kzzXT1SWmH2bDE1lJvdfMHRmTadnfLUP2uBnLITL5cHltmoAeCsWfIwefFMWXbh8iYR588dmTZP3Ss3+XFnZE/QUhtM4pOcnR2JVP/aBpU9Wl77FzlW+gH5AXV1iFxHnxw93Hq7slV564wSganKSnSYmcRs/pWBTbtOfTKDz4vpzMwKg0EkjZVNyNiHZ2l01Y/ujNp87L0AgH95TDqKv32ZdDzNH35Zpo113DRP51reIJ1r+bNR+QtqkY6478cPyueq/Nt4cKdcn74Dcp4G+jZmfV8AmP9BKXl9+amnAgAOqP366fbomu7rlX3PnyWDhYrL3i5yqQkNAA6uFdmqasT8NHeh7Kdtb/GpYu0hF3Yi9iA2s1qhelYVegtkzI963hPJ/Kld663Uij6sBwvkStixzC8Q9iFz52tdLs2DMBNPT1D7qEmjhuz+aZwtbWe1RPbHxx+Q693VaTWq8hPv7CGvZa0yD/G+PVFnVJ7TMeSer5CFi+UeNVNcT4Ey7ZlO46W8VSOGPQ/CcRzHKUTcPIhS6yFmZAfB+zrQ/92fAwAqP/o+AEBns5iRenXmoPp0pEo3VMi6im4xjwz8QkaH6c67M22WveMM+d9kk81rEbGV0Uipm8TctFFNVF2qctb1RqOglTr3QVmFDDeqWnTEfVRQkkKzkaEjUlqp2k5F5KitOEHyDBa/WkbBvF+nyQyqkt3/8U25i2TbwEloN3V1tRaaa8qO/gCi0bhVDrWpzFMFfHxzTxEZk/PEYZ9YGn2v8scfAgB84jjJpK4rl/OOvmhHqd/dJ8fc+CsAQO92OacVs4Ls78VyDS37vF/bWD5EiDnzLfZ98SXRxEOtr1oDAPj9M+oUVqUuHJBascAKLTCYfuoxAMCm/xeZKDc+p1nAGjmz5UXR6sIRu2U+Z7Kc1dxXVlGojIVsZ9pOqPFZtVPLgLformQQeJBUM+oejYqykXuoHYRZzHKMfDn2qWN3VtqytqVNfUO0rZlBG7W0imWah4X4TkjLvbBzm5p71MQUagSWXW3agLUpFBaaicrrkpVh0EV+gUHofvJNebF8BjGJ66R2E5PjOM4hRjrFQ/qcDC/WNw0Y6Epjj9rmK566DgDQsELDAtVenW4LauxrXP3BF2RkumO9jHjCcs1Lt4izE7n2zmAUUq4lio85S0b36WfU7h2UdJ53rIYcniyxo1ZLqfOeyFHbqqGUdjPVztoMAGg8IhpFW+7Gwd05M3AF2bJz1A780iYZYdsoMRwt5s4DYHWXKLAzH/itjPwOdmhNqER2gTYgKlBntZNqrbbU+ihPpGyh2PGbd0ouQsbJHAyruu6VgokNHxaNrcKmyQycy6ZZpXaLxlcBjY/vzPeJmOYw/2zVaN50UabNvVulAON2neLj5GaRo6UqkuewBpXxOanF1Ptzya/o7Ij8QcuPkGOY1nWwTc5T6Kg130NmZJwyB3T+E8MymC2PYueOyLhd16ghpxremjsPBwBU5iTTZ0blwXk2LTK3WGM4qrZRfbtmrJufwnwcIfV71VezPD/s1rQlK8UdaU/Rd69ptJwP1WDL8zVZ06jsvFRkvmfUpueAFm7Ue6GjVX01gdZs+Tth6OtYScfOgxi3Q04KM7KD6OsG1j9pV0JuqtNbdPpNTdpJBz/e7ufEPJPWiX0WHqFOtY7o9NhkK2ayMAeiPVABYG5fBwCgYbU8eGiWdDxlcxoybcpPkwcVqxfOHtX1F0dzIlQ/LhFAgzvlyUVaabPyzCDRTB/SVTVa9bJaTV3Bg1QNOFhtU07uFLlSL0bzJmy8TcxGFj9uzs/QrGFz7Zoqbwl3YZTM/g750R1+UM7TnAslMS2TdIjIJDTwgiS40YvSeSQCp3z9m+Q78kGNAGuTc5A4fGGmDR0uDuwqLeuRuk+SH5M7okin534qMs7TYo1lh4upa3866rBWNMi6C5fJg+ucRdKmvD2aDYjvuwsA0HGTdAyWG9C8JHq4WK5Ntz6c6jTBrT54eFfWanXbRqt6q07qwBRj5iIbGNgDMSzEZw/r3dstp8Bi+qPzbB2C5cXZgzncT7EKraGZpDzHkW1mqdDsE5bLALLzQ3Kx8iIWLBFOBlSrSY7JWWpWLc/vaMzEWaOms0SNmlyDeawrdsk91qiWxJblIns433dDs7xfvEJ/M78tKnJs4s4H4R2E4zjOIUY6XTjTPJ/S6iFmZAdRv6gMr/m8zBlgKquZI9JtvXntbcRmo+d9WyXee2swU5U5F/ftlZFgVL4gmORdJ61fpsXobGRZGWRJm4lqoDs7rLRWZ0cDgLLjZLRcfo46eMs0d+OFzdF+tJAgzdHtTHMISnagRtftEUf24HNirtn/aDTSXvd4dly9jRJDM5TFz5uN1UaZjYHj2MII925Xp+mtcqzQhJIbShvlfkSluKuOEzNd2QoJgU0eLjkPuxoieV5QrW13WsKSz3mn/G/qis7z0hf+CwDQ2SqjzL4HRCtrOCW6/ivq5Rwuq9PcD3VE89ZNmTbYJxpH/atlSNpQWWB6P6VFy5Bzu4RYc2v0vTIhyhpoYOvCMu8Dao6zvArj2Sejn6ldA8s0tnDQ7BBQDTVVx7hd2zAc1O7fmobsYo99keU1y0QWEtrazbQ4V1NlLBQ2LMFt2dmpgWyzX1lFYFrcp+d134DuR2cbLJh0rd9Dz1P1yihfqXKJ7MfmRTEtLCzkaCaqOFOExiWdjpdfEacPIaLzAVwDIAngO8z85Zz1lQBuBHAygFYAf8XMm0cqcxxmZAfRtSuFR/9VfmwrjrNpHNX2m4n7j25gU3ktvnvWQrk5j47mC0KP3mBLVqkZgPNvrtmL5KYsX6Tz8m5VE1GgAie1HEdCI3dsesm2+w9m2sx7o0TX2NScmCXGosTClZE8tbKfh/d2AABaqnQK00R4B8qyjmZ5gB53uSSG3fZ89OBa/c8ix+yqQd2P/F9QdXimTZqy72qbl7svHVWXbeyWX8fzb/uxyKcP8e4D0Xm2B9TyE6SDIjURpIKSB8lVYpq6u2kZAKCrV/azeV90vtfvV1OXmmRa9Vz+z1SUwGfmmjkr5BxU6Tnt++ZtmTYNF5wgcpwo9Zp4xzr53xMMIhaKPLRVOrzMgz4MDbPrZFFmWvKj7+Fg4mrFJnrq3Js9YRQQmTGt9pJFBDW3hFFn8r9viLkMrLMwv9IeLb8yP6g/Zh3Dio/JvZHl41FogRopB1PZ368hMpmiU02Bj2u5FL3GnbdEZkyrbmu+h11bpM2s7qiMRm6120EtiVMdlP4oz9S4yp6ylF/oimTWU2Udg5WpCU15JkdYn2mspFOMwTjlvocxQxFREsA3AbwOwDYADxPRWmZ+Jmh2KYB2Zj6ciC4G8BUAfzVK0YdkRnYQjuM4k8mj6b3Yie5h220LJ3IvzKkANjDzRgAgopsBXAgg7CAuBPA5ff8TAN8gIuIJqARIpVZdMA5EdBDA81MtxwhpBrBv2FbTi1KTudTkBVzmyWAZM7cM36wwRLQAwFkxm/cDmAPgQ8Gy65j5Ot3XOwCcz8z/Qz+/F8BpzPzR4Hh/0Tbb9POL2mbcz/lM1SCeZ+Y1Uy3ESCCiR1zmiaXU5AVc5lKAmXcC+OEIN/vPiZBlvBm/guiO4zjOWNkOIJx0fbEuK9iGiMoANAJFprMcI95BOI7jTB8eBrCKiFYQUQWAiwGszWmzFsAl+v4dAO6eCP8DMHNNTNdNtQCjwGWeeEpNXsBlPqRg5kEi+iiAOyBhrtcz8zoiuhrAI8y8FsB3AdxERBsAtEE6kQlhRjqpHcdxnLHjJibHcRynIN5BOI7jOAUp2Q6CiMqHbzW9IKLq4VtNH0pNXqBk74uSkrkU7wtndJScD4KI6gF8CZJw8mNmfmCYTaYcIqoD8GUAswDcBODPzLx/aqUqTqnJC5TsfVFSMpfifeGMjZLSIHSk9W2I3C8A+CwRXTa1UsXiawAqAPw3gHcBuGJKpRmer6GE5C3F+6IUZUaJ3RfO2Cm1MNd5AFYw88UAQEQ7AJxHRG/W8K9pBRERgCYACwFcxMydGpr2N0T0IWb+9pQKWAAiakYJyauUzH1BRJXM3IcSkZmIZjNzW4neF84YmdYaBBGtJqJriOhiIqrQ2iN7iOg92uReAOsAnK3q+pSjCS4XAAAL7ZD6xP9DmzwH4KcA3kREs6dIzAxEdDgRfZmI3k5EVVrPpQzTVF4gI/M1RPQBIqrT+6KNiN6tTabVfUFCDRGtBfC/iKhMZd43jWU+jIhuAvBJIkrofTFt72NnYpi2HQQRnQzgZgB7AbwVwHeIaCmAWwGcSUT1zNwG4ElIAfz5UyasQkSfAPAsgI8R0auDVV8DcD4RNeno8SkAmwCcNOlCKvrQuhJiLugF8H4AP9DVX8M0k9fQhKHbAOwE8EbI/QBddqZ2GNPqvgg4HMAKAK/Qz/+NaSgzEX0JwG8APMjM/8icKVJ9DabpfeFMDNO2gwCwClJ07wuQhxcAnAdgF2SGGVt2P4BXYnp8l5cAfBDAjwFcoKnyAPAEgA0APg0AzLwJwHIAXfm7mDTmQ5yjb2bmz0GyMU8hopUA/gjgRUwveUFEjQA2AzhXJ1H5W0gmKSD3QQrT8L7QMgiHQe7ddgCvUIfvnzA9ZZ4DYB0zfwPInHdAtJxNUN/DdLkvnIljqm/EPNRuD8jDtp2IljBzD4AfQUYqKQB3AngvEb0GwMsgP7rp8F1+wcw/hJQarwbwNl2+BzL6ejsRvZWITodMGT1+U1qNnD0AbmHmzdqRpQDcB6CbmTshWsR0khcaMfM9Zt5NRKcAeBBAHRFdBemA1wJ43zS8LwCgB8CvADwAYC6AEyADnZ9j+t3L/wSghYg+rWaxrxPRtwF0A/g3AG8jordNl/vCmTim+kZEMMoGkBltAUBaX0fq8l9DHmLHMPOdAL4F4H2Q0fr3mPnZqZLZYGabyf4xiPr9au3gmJlfAPBJAKdDoleuZeb7p0peZk7pCBDM3A+gCsDxkHOOQN7TJlveYjKrXKzrFgL4FIC/hky9+GFm/i2Ab2Ca3RfKIgAnMvMdkM7i+wCunMp7eYhzvANi/vokJJz1UxDT2N/offH3kIltJv2+cCaXKc2DIKLPQW683wD4LTO3ElECwGuZ+Xdqb+4HcCszryei1wP4EjOfqNtbRMiUyqzLz9PPrJ9Pgjy8HmPmHxJR80RM6DEGec8HcEcg71sAvJeZ365aXCUz50/gPY1kDtqfDeBbzHykfp5O98X5kMJrx0NMpA2QzmCXyvy9qZC5yG+PVMY7IIEK5ucDEb1W5V09WTI6U8+UaBBEdDwRPQSpdf5TyIP07do5HA+5cQFxPDZCwukIwAIAd2o7TPIPqqjMRHQiZIRYaSYyZn4MwN0APkFE3QDeMlmyxpR3ocpr90AjgF8R0VshESpvnEx5RyJzgU2XQGQvA6bffaEdWj2AD6usayDzDp+gPp9Jk3mY394J0PsYwKB1DspyAL8I7hfnUICZJ/0Fcdh9NPj8MQDf0fdlOW2XQMwGdwJ4GsDJJSBzGcQJvAXi2Hv1dJZXl62FaGs/BfDKEjjHTQDOBPA7fZ1UAjKvCN4vBbB8mstbDeAUAHfpOT5xKs6xv6buNTkHAWZDQlWT+pkA1CIycZ0Osb/m3qCV+j8R/rhKROYaAJeWgLxV+v9qAO8pkXNcpm0/COD9JSKzneeEbTvN5S3X/++a7HPsr+nzmnB1kWQS7i0QR9fbbTkzdzGz2ZLPBrCZmQeD7VYDuIqI5jNzmtWhOhmMg8wLmLmbmb9bAvJ+jogamflKZv6vyZB3HGT+AoBZzHw9M3+/RGS+kojm6r2cKgF5ryaiOcz8o8k8x870YjJKbbQC+AQkVvrVRPQHljBFApDQH8tS6LR6RLQGEmu9E8C/crYddLIoNZnHIu+/8NQUXBurzH5fTKy8X52ic+xMIybD4fQnHUk/C6APwDuBTDirZWhWAlhMRD8E8I8QdXz/FN6gpSZzqckLuMwurzP9GS9bFYCKnM+U8zkJsWd+G4GzC8AyyM36KCSWfdLsa6Umc6nJ6zK7vP4q7de4aBBE9BEA9xLRl0gL6TFzVqw6izr7CER9fY1ut5CZzUb6ama+djzkmYkyl5q8LrPfF84MYCy9C6Rmy/cgNszTITVlfgpgzhDbnArJDzgI4AuT3SOWmsylJq/L7PL6a+a8xuqk7gDwn6wzYRHRckhERGtuQ01iSkIShGogoXO3jfH4o6EDpSVzB0pLXsBlngw6UFryOqXISHoTSNTT3wFYop8tltpi0l+CpO7/PwAX6Lpkzj4m255cUjKXmrwus8vrr5n7it8QOA5ShG43gB8VWH8G1FkGibl+xG5iXZaY9C9XYjKXmrwus8vrr5n9GomTeh+ArwNYDWA5EZ0LwObWBTPfz1IVFACegVQzbQhqE6XzdznhlJrMpSYv4DK7vM6MJXYHwcw7IfMHtENKFf+DLh+wGxEASCZC+T8AeljiqbnQ/iaDUpO51ORV2Vxml9eZoYwozJVl4h4AuBFALxH9b13ORFRGRJ8F8GcA65n58vEVdXSUmsylJi/gMk8GpSavM0MYrW0KUjf+QX3/MkiUxOmQ8sZTbjubCTKXmrwus8vrr5n1GtOEQUT0GwBnQcoBX8LMe0e9s0mi1GQuNXkBl3kyKDV5ndJkVJnUJJOhfAHAUZDa8m+Y7jdoqclcavICLvNkUGryOqXNqDUIkuk/7+ZJntpxLJSazKUmL+AyTwalJq9TukzpnNSO4zjO9MXnl3Ucx3EK4h2E4ziOUxDvIBzHcZyCeAfhOI7jFMQ7CKekIaImnTQHRLSQiH4y1TI5zkzBo5ickkbnQfglMx871bI4zkxjrBMGOc5U82UAK4noCQAvADiKmY8lovcDeAuAWgCrAPwrgAoA7wXQB+ANzNxGRCshE+m0AOgG8CFmfm6yv4TjTEfcxOSUOlcAeJGZT4DMrxxyLIC3ATgFwBcBdDPziZCidu/TNtcB+BgznwyZkOdbkyG045QCrkE4M5l7mPkggINEtB/AL3T50wBepuWxzwDw46BqduXki+k40xPvIJyZTFiKIh18TkPu/QSADtU+HMfJwU1MTqlzEED9aDZk5gMANhHROwGAhOPHUzjHKWW8g3BKGmZuBXAfEf0FwFdHsYt3A7iUiJ4EsA7AheMpn+OUMh7m6jiO4xTENQjHcRynIN5BOI7jOAXxDsJxHMcpiHcQjuM4TkG8g3Acx3EK4h2E4ziOUxDvIBzHcZyCeAfhOI7jFOT/A0TnAhGk7AqhAAAAAElFTkSuQmCC\n", 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