{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Problem 12.9" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Fundamentals of Solar Cells and Photovoltaic Systems Engineering**\n", "\n", "**Solutions Manual - Chapter 12**\n", "\n", "**Problem 12.9**\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**When the spectral response of the reference cell is different from the cell under test and/or the spectrum of the simulator lamp is different from the reference spectrum, the spectral mismatch factor $M_f$ can be used to correct the measurement. In this problem, the QE of a GaInP cell (device under test) and a calibrated Si solar cell (reference cell) are provided. Calculate their respective SR and estimate the corresponding spectral mismatch factor, when the test cell is measured using a quartz tungsten halogen lamp, relative to the reference spectrum AM1.5 G.**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will use the package [pandas](https://pandas.pydata.org/) to handle the data and [matplotlib.pyplot](https://matplotlib.org/stable/index.html) to plot the results." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We start by importing the data for the solar spectra." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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AM0AM1.5GAM1.5D
Wvlgth nmEtr W*m-2*nm-1Global tilt W*m-2*nm-1Direct+circumsolar W*m-2*nm-1
2808.20E-024.73E-232.54E-26
280.59.90E-021.23E-211.09E-24
2811.50E-015.69E-216.13E-24
281.52.12E-011.57E-192.75E-22
............
39808.84E-037.39E-037.40E-03
39858.80E-037.43E-037.45E-03
39908.78E-037.37E-037.39E-03
39958.70E-037.21E-037.23E-03
40008.68E-037.10E-037.12E-03
\n", "

2003 rows × 3 columns

\n", "
" ], "text/plain": [ " AM0 AM1.5G \\\n", "Wvlgth nm Etr W*m-2*nm-1 Global tilt W*m-2*nm-1 \n", "280 8.20E-02 4.73E-23 \n", "280.5 9.90E-02 1.23E-21 \n", "281 1.50E-01 5.69E-21 \n", "281.5 2.12E-01 1.57E-19 \n", "... ... ... \n", "3980 8.84E-03 7.39E-03 \n", "3985 8.80E-03 7.43E-03 \n", "3990 8.78E-03 7.37E-03 \n", "3995 8.70E-03 7.21E-03 \n", "4000 8.68E-03 7.10E-03 \n", "\n", " AM1.5D \n", "Wvlgth nm Direct+circumsolar W*m-2*nm-1 \n", "280 2.54E-26 \n", "280.5 1.09E-24 \n", "281 6.13E-24 \n", "281.5 2.75E-22 \n", "... ... \n", "3980 7.40E-03 \n", "3985 7.45E-03 \n", "3990 7.39E-03 \n", "3995 7.23E-03 \n", "4000 7.12E-03 \n", "\n", "[2003 rows x 3 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "reference = pd.read_csv('data/Reference_spectrum_ASTM-G173-03.csv', index_col=0, header=0) \n", "reference" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "reference.drop(reference.index[0], inplace=True) # remove row including information on units\n", "reference=reference.astype(float) # convert values to float for easy operation\n", "reference.index=reference.index.astype(float) # convert indexes to float for easy operation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We import the data for the quartz tungsten halogen lamp." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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W halogen lamp (W*m-2*nm-1)
wavelength (nm)
3000.000001
3010.000010
3020.000100
3030.000200
3040.000300
......
11960.654304
11970.653941
11980.651544
11990.647531
12000.644677
\n", "

901 rows × 1 columns

\n", "
" ], "text/plain": [ " W halogen lamp (W*m-2*nm-1)\n", "wavelength (nm) \n", "300 0.000001\n", "301 0.000010\n", "302 0.000100\n", "303 0.000200\n", "304 0.000300\n", "... ...\n", "1196 0.654304\n", "1197 0.653941\n", "1198 0.651544\n", "1199 0.647531\n", "1200 0.644677\n", "\n", "[901 rows x 1 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "quartz_w = pd.read_csv('data/W lamp spectral irradiance.csv', index_col=0, header=0) \n", "quartz_w" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also plot the AM1.5G spectra and the quartz tungsten halogen lamp spectra." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Az549w5MnT+Dvz++3OWfOHM1yWFgY3n77bWzevBnvvfeeZn1RURF+/fVX+PmVXcecnJzg6uqKGjVqaNZ5eXnBy4upc7Z9+3asXLkSBw8eZM3RpnPnzsjNzcW///6LmJgYHD16FO+++y46duyIcePGIS8vD1KpFP/88w+WL1/O6/8BgGbNmqFZs2aa8WeffYYdO3bgjz/+wBtvvKFZ37dvX7z22msAgI8//hjff/89WrdujeHDhwNgrGMxMTF4/Pix5n8oLi7G8uXL0bZtWwDAL7/8ggYNGuDcuXNo06YNbxmFQAoQYTOYkgXmJC0zYhqLAZJJxHB1kuBprsEpFud+ei66LjyKza/GwE8rZV+3e/2Ko/cQ6OWMcTFhlSwhQViInDQg+5G1pTCZUkuFkxP/2l6///47lixZgrt37yInJwcKhQKenp6sOaGhoSzlpzwuXbqE8ePH47vvvsMLL7xgcF5ERARq1aqFo0ePolGjRrh06RI6deoEf39/hIeH49SpU5DL5cjPz0fXrl15nz83Nxeffvop/vrrLzx69AgKhQL5+fl6FqCmTZtqlgMCGOt7kyZN9NalpaVpFCCpVIpWrVpp5kRGRsLb2xs3btwgBYiwfwqKDaehh/i4IvGpfnyOi1YHd2MKkJNUDDcn63/d7z/JxTtbL+OXSWU/aF0FCGAyyEgBIuwGdytYNAWcs27duhCJRLh+/ToGDx6st/3mzZvw8/PTpISLRCI9d5h2fM8///yDUaNG4dNPP0WvXr3g5eWFTZs2YeHChax93NzceMuYmpqKgQMHYvLkyZg8eXK58zt37owjR46gadOmiIiI0FiuSt1gcrkcoaGhCAsL4y3Du+++i3379uGbb75B3bp14eLigmHDhqGoiG1Zl8lkmuXS0ASudSoV+5rPFcZgLLSholj/jkAQJRhygfVvGogJ7cIwfOUZvW1u8rKvsLHfiUwihqtcYnhCJXLs9hN0/OoIQqu7Ys3E1pwKEEHYFTxdUdaievXq6NGjB1asWIG33nqLFQeUmpqK9evXY/r06Zp1fn5+SElJ0Yzv3LnDSi8/deoUQkNDWYHTDx484CWLk5MTlEr2tbCgoACDBg1CZGQkFi1axOs4Xbp0wYwZM9CwYUN07txZs75Tp05Yvnw55HK5IOsPwARTT5w4EUOGDAHAxAQlJCQIOoYhFAoFzp8/r7H23Lp1C5mZmQbjnMwBBUETNgOXC+yt7vWwfHQLtA7zKXd/4y4wUaVYgIJ9XPD9mBblzkt8mocTd9Lx15VHSHlewDlHSMAlQRAVY/ny5SgsLESvXr1w/PhxJCUlYe/evejRowfq1auHjz/+WDO3a9euWL58OS5evIjz589j6tSpLAtH3bp1kZiYiE2bNuHevXtYtmwZduzYwUuOsLAwnD17FgkJCUhPT4dKpcJrr72GpKQkLFu2DE+ePEFqaipSU1P1LC/adOnSBbm5uVizZg06deqkWd+pUyecP38e//zzj+D097p162L79u2Ii4vD5cuXMXr0aD0rjqnIZDK8+eabOHv2LC5evIiXX34Z0dHRFnN/AVZWgI4fP44BAwYgKCiIM61Ql6NHj3KmAt68eZM1b9u2bWjYsCHkcjkaNmzI+4tHWI/SgoG6jI8J5X0MY0HQThIxXJz0LUBDmtfkfXw+qNWAh7Os/IklXHyQiWQDFqCKFIYkCEIYERER+Pfff1G7dm2MGDECoaGh6NOnD+rVq4dTp07B3d1dM3fhwoUIDg5Gx44dMXr0aLzzzjtwdXXVbB80aBDeeustvPHGG4iKisLp06fx0Ucf8ZLjnXfegUQiQcOGDeHn54fExEQcO3YMKSkpaNiwIQIDAzUv7Zo+uoSHhyM0NBTZ2dksBahmzZoICQlBQUGBYAVo8eLFqFatGtq1a4cBAwagV69eaNGi/Ac+Pri6uuL999/H6NGjERMTAxcXF2zatMksxzaEVV1gubm5aNasGV5++WW8+OKLvPe7desWK5hMO4jszJkzGDlyJObPn48hQ4Zgx44dGDFiBE6ePKmJLidsj092/ce53lhD0RYh3qxxeUHQzjJ9BWjxyCicvpeOx1ncHeJNQUhF6oSMXKTncD/FZRco4GoDcUsE4SiEhYWxavl88sknWLRoES5fvoyYmBjN+qCgIOzbt4+1b2ZmJmv81Vdf4auvvmKt067wPHfuXMydO1dPhnr16uHMGba731Q3k6H97t69y2v/iRMnYuLEiZpxWFgYDh8+zJqj7Ro0dE5da3ZYWBinhXvo0KEYOnQoL9nMgVWvrn369EGfPn0E7+fv72+wP8mSJUvQo0cPxMbGAgBiY2Nx7NgxLFmyBBs3buTcp7CwEIWFZTfArKwswTIRFeNcgvAqq9+OZj95GI0BkoohNWAikorNawh1lvE/3ok76Qa3ZRcUI8DT2RwiEQRhAp9++qnGJdW2bVuIzXytIKxLlfw0mzdvjsDAQHTr1o1V1AlgLEA9e/ZkrevVq5dRU+GCBQs0dRa8vLwQHBxsEbmJitEoqMzq9+cbL6CmN7tgGeMS5d5XKhahhhe3MqGdSm8Kdf3LTOM9GgbAx4jVSghZBdRFniCszcsvv4xZs2aR8mOHVKlPNDAwED/88AO2bduG7du3o379+ujWrRuOHz+umZOamqqpMVBKQEAAUlNTDR43NjYWz58/17wsXX6bYKNWq+HGEZ+jy3ejW6BDhC/e7FoXTWp5cc4x5AaTScQYHxPKqSAZsgzxZWK7MAxtXhO9G9XA7B714O/hjGAfl/J31OHdXvVZ42wOBeivK4/QYv4BhH2wG12+OYpTdw1bkAiCIKoCEydO1HMhVgZVKsCgfv36qF+/7CYRExODpKQkfPPNN+jYsaNmvW7dALVabbSWgFwuh1wuN7idsCz5xUrk8iiCGObrhl8nG4/jEosAriNJxCIEerlg/eS2GK3Tmb1LpD/upOXwllciFrGam7rIJFg0Moo1540udfH+NmGNTWv7uiG2TyQW/M0E9ecW6itA8/+6rqlmHZ+ei6/33UL7ur6CzkMQBEFUMQsQF9HR0bhz545mXKNGDT1rT1pamp5ViLAdihXmS/fmUnQ/H9JYsyzmsPbM7MavEWAputYqqUT/mHKp8JpDgd4umr5mAKBQqaFWq7Fgzw3Un/M3Wn9+UC9YOy4pE6N//Ac3U5m4tcM3H2PEyjPYfSUFBGEtqIQDYUnM9f2q8grQpUuXEBgYqBnHxMTgwIEDrDn79+9Hu3btKls0gicKM9WRALhT4ce0NZ5K7yaXYtlLzXmfw13ONpzKJPo/I1PiioK8naGtS6lUapy6m4FVx++jUKHCk2zuTLXT9zIwff1FAMCktedxLuEppm+4KPj8BFFRSmvhaBcFJAhzU1r/SCKpWHFbwS6whIQEnDhxAgkJCcjLy4Ofnx+aN2+OmJgYODsLy1jJyclhpePFx8cjLi4OPj4+CAkJQWxsLJKTk7Fu3ToATIZXWFgYGjVqhKKiIvz222/Ytm0btm3bpjnGzJkz0bFjR3z55ZcYNGgQdu3ahYMHD+LkyZNC/1WiklCa8WnRWCo8wNTp4d6P/zncnaXA87IxVwyR3AQFyNdNDonWsWZtjkOb8PILQALAvSe5CPtgd7nzTt9Lx/dH72FU6xD0axpY7nyCEIJEIoG3tzfS0pjGp66urhZtZUA4HiqVCk+ePIGrqyuk0opF8fDee8OGDVi2bBnOnTsHf39/1KxZEy4uLnj69Cnu3bsHZ2dnjBkzBu+//z5CQ/kVrzt//jyrENPs2bMBABMmTMDatWuRkpLCarJWVFSEd955B8nJyXBxcUGjRo2we/du9O3bVzOnXbt22LRpE+bMmYOPPvoIderUwebNm6kGkA1jRgNQuQqQkP1eahOMjef0A+JdnCxjARKLRXouunPx3OUBnKRiFCmMv3EKpYrlUgOA6esv4lleMU7cSUevRn30thNERSltblmqBBGEuRGLxQgJCamwcs1LAWrRogXEYjEmTpyILVu2ICQkhLW9sLAQZ86cwaZNm9CqVSusWLFC0/beGJ07dzbqy9MuSAUA7733Ht57771yjzts2DAMGzas3HmEbfDXFfN1iS7v96AG9/eNywLEpdgA+hYfc8UAAYCE5w/6jS51sejAbaNz8oqV8NT6H9JzCvEsT6th4/2n2HbxIWpVc8HsHvXoSZ0wCyKRCIGBgfD392c1CCUIc+Hk5GSWsgS8FKD58+ejX79+BrfL5XJ07twZnTt3xmeffYb4+PgKC0Y4Bmq1Gp/tvmG245VnATJUo0f35i+TiAweS1dZ4iqkyMcC1LGeH47ffgIA8HJhYie4grS5aB7ijUAvZ4N9xAAgr1AJT622HNeSn7O2j11dlg3XJdIfLUKq8To3QfBBIpFUOEaDICwJLxXKmPKji6+vL1q3bm2yQIRjsf/6Y7Merzz9IbKGJ0a0qoWa3i7YOrWstL2usiMVi1nxONpwKUum0KyWF/o1DURNbxesm8Q0/ONrAarm6oQfx7cyOievqCyN/pfTCZj4878G595MyeZ1XoIgCHvBbHWAFAoFHj16pOceIwhjvPbrBbMeT1c5qcHRSuKrYc30akPpWXUkIoPKlK6SwhVHw0cpUqjU+E6nnYchpUuXam5OqOntgtc61caqY/c55+SV1Fa69yQHn/zB3WutFFOCtgmCIKoyZrvq/ffffwgPDzfX4QgHILvA/PEBujFlP03gtpLoKkq6FiCZRGwwJkbX48WVBdYw0BO9G9WAr7sTtrwWo7cdYIKU9Y/NTwHycWVceZ5GOs/vvpqC2O1Xsf+/8q1stx5nY87Oq/j7quH6QZv/TcTHu64hI8d8jWMJgiCsRZWqBE3YF8biV0xFu0Jz23AfNK7J3TJDF11d52luEQypIrrKkvY5y44nwspxLY1WIS9W6u/H1wXmUlKM0cNI5/nvj97jdSwA+OE4Y0X67Z9ExH3cA96u7Fipe09yNJWt84uU+Hp4M97HJgiCsEV4K0AtWrQwuj0/P7/CwhCORXKm+b8z2gYgQ1lcXAhJn9edW8xhySmlVPmZO6Ah/rf3JgqKy+ZyKU7GRP5kQEP87++bmPxCmaXVWWb+INON55Lweuc6rHX/aqXjb73wkBQggiCqPLwVoOvXr2PUqFEG3VwpKSm4fdt4Wi5BaJPKYQHycpHheT7jGvM0Yt0whHZRRa70dEMIUYBqVWM3OuWjhExsH46x0aEYvOIUriUzbSv8PfT7zxnLPHu5fTjGRYeyYo74WoyE8OXemxgfEwo3rYrXRUaUPIIgiKoI7ztM48aN0bZtW7z++uuc2+Pi4vDjjz+aTTDC/snnaIA6OCoIFxMzkZCRi19KMqOEoG1VEdLlnc9UPw85nCRivNurPro3CMC09RfRKqwaGgV58jqHVCLGkpHNMXzlaXi5yDDpBf2HCa4gaBeZBCvGttAco7z55uByUibalTRZPXU3HR/vYgdR5xUp4OpEHnSCIKouvK9gL7zwAm7dumVwu4eHB6sjO0GUB5fryEkqxh9vtEeRUmVSMUFtFxhXfR5D8CkCePqDrhCLRJCIRegS6Y9LH/eAXGo4WJqLuv7uOPt/3SHlqPoM6FuApnWugxndIgxambxcDQdBG2PPjA4I8JSj5WcHObfHPWQUoPwiJaZyZOqtO/MAUzvV4diTIAiiasBbAVqyZInR7XXq1MGRI0cqKg/hQHApQGKxCCKRyORKytouMIkgF1j5c3RjikyNvzFWJFFXKXKSio2ep2OEH5rW8sKVh2VFDkN8XJH41HgzypreLvB0kaK6mxMycov0tmflMzWEkp7lIbtQobf9f3/fxPqzD9C0pjfe610fodXdjJ6PIAjC1qDiH4TVKOLIghLituJCpTbRBWYhV5JQdGN6ygvklohF2DmtPWvdCxG+5Z7HxUkCkUiElqHc1Z8Lihn3pLFA9aSn+dh9NQUflGSHEQRBVCUqpAA1adIESUn6zSIJgg9cFqCKBvWa6gKzEf1Hr8aQE49MNrFYhE8GNAQAdIv0R8cIP6Pz+zSuobFCtQozrABtOJvIK5X+zP0MfPrnf1QfiCCIKkWFohgTEhKo2R1hMsUc3czNaYkRYgHijOOxglKkbwHiJ8TL7cMxoFkQqrs5IT1H36VVyrxBjTAuOlQzbhnqwzlv28WH2PQv++Fm0YhmmL3lMuf8n08lILtAgW8oPZ4giCoCucCISicjpxC/nE7Arcf6/acq6gJjHasCafBjo63T0kU3q0smoEWFr7scIpEIfh5ydIv055xTw9OZpeyF+3LH7nAVaWxaywvv9Kxn8Py/X3jIW1aCIAhrUyEFqEOHDnBxcSl/IkFoMXvLZXzyx384cSddb5u1LEC6U195obbZ5BCC7v8vpJijNoYapeoqVK5O/AO5A71c8EbXCJx4rwviPu6BYB/67RMEUXWpkAK0Z88eBAYGmksWwkE4dvtJpZxHIigGiK14WKq+TnnousD4xABxYUiRlOscTy4V84p/cpaJNYURg31c4e3qhGWjmuvNs0R/N4IgCEtgUgxQcnIyTp06hbS0NKhU7DiOGTNmmEUwwj5RcbR/sBR842cAG1KAzGQBMoSuBUgkEkEqEaOIIx5LG66mq81DquH0B10x8edzuP04BwCTNRZZw7TaRARBEJWJYAXo559/xtSpU+Hk5ITq1auz4glEIhEpQIRR0nMrL1NIiBKjayyylgKk35XevHJwWZSkYhEMh00zDG9Vi3N9kLcLBkXVxNf7mCKpOy4lI7YPv8rYBEEQ1kSwAvTxxx/j448/RmxsLMQCXAwEAQApmcY7wKvNaCDSbRthDEexAHH1GjMWKzWrewQ61vND82Bvg3NaadUSWnXsPt7sGgF3ObXJIAjCthF8dc3Ly8OoUaNI+SFMIoejqrClqEgQtEQkgsgKefC6+o6xqtGmoOTQMI0pWfUDPNAipJrRdh9RId6scfyTXJPlIwiCqCwEX10nT56MrVu3WkIWwgHgKn5oKYRYcXRv8NaqDK1roZGbWQFScShAxv5XPu+hXCphlQ14mleeQ40gCML6CLZTL1iwAP3798fevXvRpEkTyGTsgMdFixaZTTjC/lBw1JfRRm1GH5igGCAdxcOc9YiEoCtzRSxA377UHG9uvKQZB3o5o0lNL715T7INx2XxraVU29dds5xJChBBEFUAwQrQF198gX379qF+/foAoBcETRDGUKiMW4DMGQMkRIfRc4GJRbDG11lXEauIAtS/aSCCvF0Q4CnHw2f5iPB3FxxTxLeUgI+bk2b5KUdzVYIgCFtDsAK0aNEirFmzBhMnTrSAOIS9w9UA1VJwBfzynStkX3OiawGSS03rOA+A1ey0VjVXg/M+7NsAn++5gepuTvB0kSE+vSyGh68lrJqWAvRMSwEqKFbiclImmodUM3s8E0EQREUQrADJ5XK0b9++/IkEwYGinBggc6pHQpQY3am2kgVWGUrDpBfCERHgjjp+7pix6RJrG9/3oZprmSs8Q0sBmrT2X5y+l4FRrYPxvxebmkdggiAIMyD46jpz5kx8++23lpCFcADKjwEy37mEucB0LUDA+JiypqFLR0WZSSphcpg7CJoLiViEzvX9EezjqleJmq8C5KaV9p5frNQsn76XAQB6jVUJgiCsjWAL0Llz53D48GH89ddfaNSokV4Q9Pbt280mHGF/FJcTA2ROKhIELRKJEOjlgr9ndsDjrAJ0jPAzt3icWMMCZOz8fN9D1vtXosQqdap+K5QqQbWZCIIgLIlgBcjb2xtDhw61hCyEnVNQrMTdtByjc9RmdIIJCco3dJ9vEOiJBoGVV9nYXL3ATEU364tvDJD2rNJU+0KFkjUnLbsQHs5SpGUXIry6G64kP4efhxw1vampKkEQlY9JrTAIQihKlRq9lxxHQkae0XnmdIFVpA6QtdBNuqoMF5g2ullfpliASj/CwmK2te/242y8v+0KHmcxilB2gQIiEbBzWns0M1JpmiAIwhKQPZqoFP5NeFqu8mNuKpIGby10FY7KVsx0y/5IeabBa4tZ6vkq0LEAbf43CY+zmJpD2QVMRXC1GtgV98g0YQmCICqAYAXo8ePHGDduHIKCgiCVSiGRSFgvguCCr2XHnFlgwlxgtqEBWVsOUy1ArBCgUheYjgXo5N10zn3PP3gqQEKCIAjzINgFNnHiRCQmJuKjjz5CYGCgzbgOCNvGWFfzNmE+OJfA3AQHNgsy2zl142mMYW3FoxRrpd+XohvzwzcGiOUCM2ABKrX66HLl4XOo1Wq6lhAEUakIVoBOnjyJEydOICoqygLiEPaKsQrEkzuEY2iLmgjydkFdf3eD84QipF+vyEacwUKUNouc38QsMLYLjNsCZIzY7VepThBBEJWK4Mt+cHCwWfs1EY6BsZ5SLjIJRrUJQcd65k01r0glaGthrSaspegqPHx7gXFagIqVBmbrQ3WCCIKobAQrQEuWLMEHH3yAhIQEC4hD2CvGLECWcvsIU4AsIkKVQ9flxdsCpLVclgZv2AI0u0c9eMgFG6AJgiDMhuAr0MiRI5GXl4c6derA1dVVrxDi06cU0EgAxUoV1Gp+hfxsQwGyPQ0otLrh/l2WQs8CxDsLTD8N3pAFqKa3C2Z0i0BkDQ+8+uuFsv0oDoggiEpEsAK0ZMkSC4hB2BPP84rRd9kJ5BYp8Mf0FxBS3dVoFpilFCAhNQRtSQH6840XsO+/VIxsHVzp5za9EnTZsrocC5CHM3PZ6d4ggLU+v1gJVyeyChEEUTkIvtpMmDDBEnIQdsTPp+ORnJkPAHhz0yXsmt7eaIVnSylA5qgEbQ2a1PJCk1peVjm3vgWIbxB02TyVmil8mV/EbQEqVYDEYhF6NgzA/uuPATBZYqQAEQRRWQiKAVq1ahX27dsHANi/fz9++OEHiwhFVG20050vJ2UCAIy1ALNU5lNVTIO3NqbGAGlPyy4oRvdFx/Detiuccz2cZZzLK4/dEyApQRBExRCkAA0dOhTz5s1DdnY2Pv30UwwZMsRSchFVFJVKjQBPud76yrIAda5flkkWGejBez/Sfxh0s9D49wIrm/dvwjPEp+canBviUxbbpNTSjH8+lcBTSoIgiIrDWwE6fvw4bty4gdatWyM6Ohpt2rTBjRs3cPz4cZNPfvz4cQwYMABBQUEQiUTYuXOn0fnbt29Hjx494OfnB09PT8TExGgsUqWsXbsWIpFI71VQUGCynAQ/Dt14jKh5+/HFnpt62yorBuirYU3xcvswLHupOWpV4x9ETMG3DCZngZVzJVk5tiV6N6qBsdEheL1zHc3624+NN8clCIKwFLwd7keOHAEAPHr0CA8ePMCjR49w5MgRiEQidOzY0aST5+bmolmzZnj55Zfx4osvljv/+PHj6NGjB7744gt4e3vj559/xoABA3D27Fk0b95cM8/T0xO3bt1i7evs7GySjAQ/1Go1Jv9y3qR9+VoZ+ODv4YxPBjSq0DEquwGpLaHbCoOvYmhsVr+mgejduAZ6N66ht2102xDM2XlNiIgaVCrGrigWkQJLEIRweCtAn3zyCRQKBbp27YqTJ09i5syZWL9+PaRS04MW+/Tpgz59+vCer5uB9sUXX2DXrl34888/WQqQSCRCjRr6F1tDFBYWorCwUDPOysrivS8BXEt+jte00pl1GfTdKXzYt4HB7dYu/lfKL5Pa4I+4R5jSMdzaolgNU5VRYzFUGTmFBrcNbVFTowDV9nXjfb6/rjxC7LaryC5UINzXDRunRKOGFz3kEATBH0GPusuWLcPgwYMRFRWFF198EcuWLbOUXLxQqVTIzs6Gj48Pa31OTg5CQ0NRq1Yt9O/fH5cuXTJ6nAULFsDLy0vzCg6u/PTjqswrv5zXZH1xcTkpE6uMBLia0wJUETrV88PCEc0QWcPT2qJYDVOVUWMK0NDmtQxuc3WSoporEwitElBhfvnhu8guZILt49NzseFcIu99CYIgAIFp8DNmzNCYmt944w2ojKX2VAILFy5Ebm4uRowYoVkXGRmJtWvXokmTJsjKysLSpUvRvn17XL58GREREZzHiY2NxezZszXjrKwsUoIEkJpVfnzVzdRsg9soA8t2MFUZNfQRNgv2xqDmxhvclrrdFCo13v/9Cs4lPMWSkVFoFuwNAHiUmY9Ja/+Fn4ccqye0Rn6RErces79Pyw7dwZPsAuyKe4QOEb74fkxLm7EsEgRhmwhSgLTdXWKxGGIh3SbNzMaNGzF37lzs2rUL/v7+mvXR0dGIjo7WjNu3b48WLVrg22+/NWixksvlkMv1M5cI82GsfxzfflOE5TE1IN2QArRoRDPIpZJyzsn8ffgsH5vPMz3BRv3wD27M7w0A+GLPDdxMzcbN1Gz8cjoBjWt6cQbVbzzH7Lvvv8e4lPQMLUN99CcRBEGUIEiDWbFiBbp3744RI0bg8OHDrG3p6emoXbu2WYUzxObNmzF58mRs2bIF3bt3NzpXLBajdevWuHPnTqXI5mj8cJxf7RaVsSwwsgDZDCYrQAbCoN159PviareRr9VG42x8WXudz/fcwPg1ZzXjmt4unMd88fszuPrwebnnJgjCceGtAC1btgzvvvsuIiMjIZfL0bdvXyxYsECzXalU4sGDBxYRUpuNGzdi4sSJ2LBhA/r161fufLVajbi4OAQGBlpcNkdDqVJzprwLxVKVoAnhmB4Ezb3ejYcCVN7n7+XC7jdYrCzTpj/s1wDerjLdXQAAn/75X7nnJgjCceHtAlu1ahV+/PFHjB49GgAwbdo0DB48GPn5+Zg3b55JJ8/JycHdu3c14/j4eMTFxcHHxwchISGIjY1FcnIy1q1bB4BRfsaPH4+lS5ciOjoaqampAAAXFxd4eTGtAz799FNER0cjIiICWVlZWLZsGeLi4vDdd9+ZJCNhmCIj3b51sUYrDEI4pqaTG4rjcpUZd38B5X/+ns6GL1O1qrng88FN8P2xu7iWzM7ePP/gWbnnJgjCceGtAMXHx6Ndu3aacUxMDA4fPoxu3bqhuLgYs2bNEnzy8+fPo0uXLppxaSDyhAkTsHbtWqSkpCAxsSy7Y9WqVVAoFJg+fTqmT5+uWV86HwAyMzPx6quvIjU1FV5eXmjevDmOHz+ONm3aCJaPMI4QBcjYXFKAbIdipWmJDVz6j6uThFcgcnmfv7szt4UHYFxgTWt5o1/TQGTkFKLlZwc129ycyle+CIJwXHgrQL6+vkhKSkJYWJhmXaNGjXD48GF07doVycnJgk/euXNno8GxpUpNKUePHi33mIsXL8bixYsFy0LwQ6lS4/1tV/Astwjv94nkvZ92fzBdSAGyHQqKuRuYlgeX5YiP+wso3+1WpDAsU3V3OWv53V718fU+pghqsA//SuAEQTgevBWgF154Adu2bUOHDh1Y6xs2bIhDhw6xLDmE/bLlfBJ+v/AQAJBnoNs3FwojUdCkANkOhQKserqIROyWJ3wCoIHyP//cQu7vWZsw/Syv6V3qYs3JeGTkFhlVugmCIHgrQB988AEuXOCu9tuoUSMcOXIEv//+u9kEI2yTfxPKMnLO3M8wyzEpC8x2EOLW1EUsEkGppQG58nRBla8AcSsynw1pzLnew1mKjNwi5BjYjyAIAhCgADVt2hRNmzY1uL1Ro0Zo1KhiPZgIx4QsQLZDoZa7yUkirM6XWARo22r4usDK+/yzDSgy9QI8ONd7lMQM5RQqoFarqU8YQRCcVKiSYZMmTZCUlGQuWQgHhW5QtkNBcZkFSGhTWN1aQHxdYOXFABmyABnCoyRrTKlSC3LTEgThWFRIAUpISEBxcbG5ZCHsEEM1WgjbpI6fu2a5be3qgvbV1WP5usCMtUJRaSkx2unwxqxG2ooXucEIgjCE6a3cCYfEUMVfQ1RzdUJmHinJVYWX24fh6K005BQq8MVQ7hgbQ+jqMbwtQEZaoeQWlSkwzYK9EezjihN3nmDxiChex9NusJqZV4R5f17Hw2f5EImY1hvRtasjtm8kfN2pFQ5BOBoVUoA6dOgAFxfuUvQEAVB8T1XDWSbB5tdiTNpX15LDPwbIsCFaOwPMzUmKL4Y0ESSTdlbaTyfisf0Su1zHtosPUd3dCf/Xt4Gg4xIEUfWpkAtsz5491GLCwVCqhGUJxafnGtzm4+aEd3vVr6hIhI1gqgJkLAYop7DMesj3eNpWSu3iC4ayFn84fh9Hb6XxOjZBEPaDSRag5ORknDp1CmlpaVDp3BBnzJhhFsEI28RYUGmHCF/8NKEV6s/Zq1nXpKYX4pIyOedfmNOdAqDtCN1Pkm8lZkMxQGq1GjlaFiB3Oc/KzhyHKyhWGm2OOn39RcR90hMygZlvBEFUXQQrQD///DOmTp0KJycnVK9enXUDE4lEpADZOcYUIJlEDJmOO+OdnvUxdvVZzvmk/NgXuh9nRS1ACpWalQHmbqQnmCFKK81fTX6OopI2H0Ob18STnEKcuJOumZdbpETvJcexZGRzNKnlJfg8BEFUPQQ/7nz88cf4+OOP8fz5cyQkJCA+Pl7zun//viVkJGwI7aBUXaRikV7vp3o13CkTzEHQVWh5V4I2EARdrFSxsrj4u8DKKI0BuqxlhWwT7oNfJ7dFsA87fvHek1y8s/Uyr3MQBFH1EawA5eXlYdSoURAbCVwk7Jc8A20JAHC6D6RiMZyl1JTSEdA15PAOgjZgCSxSqNgWIL4KEMfxnmQXapbDfN0AADO71dObd+txNmsuQRD2i2AtZvLkydi6daslZCGqAHnFRixAHE/yErEIchkpy46AXhA0zxggQy4wXQXIzcn0pNWnuUWaZR83JwDAsJa1cGVuT725lw3ErBEEYV8IvqIsWLAA/fv3x969e9GkSRPIZGz3xqJFi8wmHGF7GLMASTmsghKxSHBLBaJqYmoMkKFSCUVKFasytbOMn0LF5QJ7llemAGm7ZD2dZXijS10sP3JXsy7pWR6v8xAEUbURrAB98cUX2LdvH+rXZ9KXdYOgCfumvBggrnVOAlsqEFUT3d8/7yBoAzFARQqVJnAZ4N+ag+sypG0BqubqxNr2Tq/6iAr2xivrzgMAHmXm8zoPQRBVG8EK0KJFi7BmzRpMnDjRAuIQtoxSpWY9kevCFRYmEYs4b1zrX2lrTtEIG0BX7+Abs2MoDb5IqcLGc4masSmKtLqkElBpNXIPZylnrJp2Y9W1pxPwYb+Ggs9FEETVQvAVRS6Xo3379paQhbBx8oxYfwBuC6BEpG8BmtqpDtrX9TWrbIT10VVkXHnW7TEUA7T/v8d4+KzMGsNXAeJygWWUWIB0rT+lBHiVtcIoVqpxNy2b17kIgqi6CFaAZs6ciW+//dYSshA2TnmdtbluY2KxCHKdLDAvF0qLt3d83JzgUcFWGCuO3mWNhXanLyW/SInn+YwFKMCTu+eX7nf0blqOSeciCKLqINgFdu7cORw+fBh//fUXGjVqpBcEvX37drMJR9gWueV01jbkytB9cqdQMfskNatAs9wytBrvmEBDMfJKlZo15m0B0jqvGsCj52VWpCBvw70L5w9ujI92XgMAZBVQF3mCsHcEP1J5e3tj6NCh6NSpE3x9feHl5cV6EfaLtgWI6+m+9L7zZte6AIDejWoA0H9yJ/3H/qlVjX+TZEMWIF0FSNdKYwjd75d2UHOgl2G5PLUqTR+5yfQG++d+BrZffIhipbAeeARB2D4mtcIgHBNtC1Adf3e9Hl+lN563e9bHsJa1EFzNFQBZgBwRIT21DMUA6eg/JrnA1Go1UjLLLFNB3s4G53o6l1mz/76WitP30jFu9TkoVWoUKVQY1SZE8PkJgrBdBF1Rdu/ejdu3bwMA7ty5g927d1tEKMI2eZJTViG3cU1Pve3arofQ6m6athj6FiDSgOwdQ7V9uOCrLPHOAtM6tRrs0g3G4s90e42N/vGsxgr1wfarUKnUOHD9Mc7FP+UnB0EQNo0gBSgoKAhvvfUWACYYumbNmhYRirBNtF0JLUKq6W03FAOk67ogC5D9Y8iqwwVfxYZ3HSAdBVuhLDMlcRXrLMWjnGarB248xpR15zHqhzO4/iiLlywEQdgughSg5s2bo3Xr1hg3bhzatGmDqKgoC4lF2CJZ+WVP0n4ecnSq58fabkixEXIzJOwDIRYgvgqQSXWA1ExXeT5yeTgbz0587dcLABjX3Cd/XBMsC0EQtgXvGKAuXbpAJBLh2bNnuHz5MqKionDs2DGIRCIcPnzYkjISNkJ+cVkQtKuTBD+Mb4n6c/Zq1hm6t+h2iKeK4faPEKWXr2WHb0sV9tdLDYVWALPMQNVpoHwLkDZkASKIqg/vR6ojR47g8OHDqFevHlatWoV69epp1hGOgbYC5CyT6Lm2DLnAdNeTQcj+MZTZxQVfy46UrwKkM+ZtAZJL0SBQP7aNi9wiJVS6UdoEQVQpBNmUN2/eDB8fH0yZMgXVq1fH5s2bLSUXYYMUaKXBu3A0pjRk2dG9b5H+Y/9YwgJkCmo1O53eWMC1SCTClteisXFKNKJr+5R77DtULJEgqjSC0uBbtGiBnj17AgA+//xzpKWlWUQowjbRtgC5OHEpQNz76VqAyAVm/+i6PY1hbgVIpJMFVqwqc4GVF5vk4SxDTJ3quJsWiH/uG8/2evgsD/VreBidQxCE7cL7yjNnzhwkJSXBxYUpJObt7Y169epZTDDC9mApQBwWIIMxQHoKkFnFImwQYRYgfgUO+aKbBaZkZYHxk4uPW067wzxBEFUP3grQxo0b0b17d3h7e6NTp06YO3cuTpw4gaIiugg4CkWKsidprhsE3xgg0n/sH3NngbWvW90kOXSzwPjGEfVqVANuHFZObW4/poapBFGV4a0A3bt3D0lJSfjxxx9Rt25d/Prrr+jUqROqVauG7t274/PPP8fp06ctKSthZcqrp2Lolqd3zyETkN1j7jpA341uwft4bBeYGgotFxhfubxdnfDHmy9gzcRW2DGtHd7pqW/t/vFEPDLz6AGQIKoqgpzvNWvWxLhx47B69Wrcu3cPDx48wPfff4+QkBB89dVX6Nixo6XkJGwA7VgKrnRiQ7E9emnw5hWLsEGEWID4xAB5uzqZLIuSZxaYLnX83NE1MgDNQ6phbHQo55y/r6WaLBdBENZFcC+wUu7du4ejR4/i8OHDOHr0KJRKJbp06WJO2Qgbo9QCJBGLOJUd3i4w0oDsHqmReju6mFLg0BgsC5AaKFZqZ4GZ9uXzNFAk8VYqucEIoqrC+8oTHx+PNWvWYNy4cQgODkbz5s3x+++/o0mTJvj999+RmZmJAwcOWFJWwsqUdsTWdiPMH9xYszy0BXdrFIleHSDSgOwdIXWAzB0ErWtjZFuATFO2xGIRIjkyvu49oVR4gqiq8LYA1alTByEhIZg2bRpmzJiBFi1aQCIx94WLsGVKg0m1a6m81DoY1VxlCPRyQbCPK+d+5AJzPHSVXmOY2wKkjV4QdAWqcK6Z2BrHbj9BhL87hq08AwBI1uqPRxBE1YK3AjR8+HAcP34cCxYswMmTJ9GpUyd06dIFzZs3p7ouDkJpSwFt94ZUIkb/pkFG99O959DXxf7hmWwFoPwYoK+GNRV0br0gaK1WGEJcc7oEebvgpTYhAIA6fm649yQXjzLzoVar6RpIEFUQ3gpQadXnmzdv4siRIzh69Ci+/vprFBQU4IUXXkCnTp3QuXNntG7d2mLCEtalNJbCWEdtLnQDT3XrtBD2hxA3p64FyEkqxod9GyCnUIEans4GXauGMLUVhhCCvF1w70kuCopVyMwrRjU304O0CYKwDoKDoCMjIxEZGYnXX38dAHD9+nVs2LABn332GWJjY6FQKMo5AlFVKU0nFhpIqnczJP3H7hFiEdFtcurnLseEdmFmkUOvFYaJMUC6BHm5aJaTM/N5K0A5hQpIxSLIpWLEp+cixMeVd20igiDMi0lZYI8fP8bRo0dx9OhRHDlyBLdv34ZcLkeHDh3MLR9hQ2hngQmBCiE6HkK+Irr9uSoaE6SrexVrucAkFXCBaRPkXaYAPcrMR+OaXuXuk5Cei/7fnoQIQA0vZ9xJy0FtXzfsndXRonFQBEFww1sB2rp1q8b1devWLUilUrRp0wYjRoxAly5d0K5dO8jlckvKSlgZriBoPug1Q6V4CbtHSC8wiVgEsQgoNdRUJFAZ4GiFYaYgaG2CvJ01yynPC3jt8/X+W8gpZCzk2SWNVO+n5+LKw0y0Ciu/+SpBEOaF951szJgxiIuLw5AhQ7Bv3z5kZmbixIkTmDdvHrp06WKS8nP8+HEMGDAAQUFBEIlE2LlzZ7n7HDt2DC1btoSzszNq166NlStX6s3Ztm0bGjZsCLlcjoYNG2LHjh2CZSP0UXCkwfNB1wJkpnsQYcMILXWgrVQLVbCNoZ8FZiYXmI4FqDxWHL2L3VdSOLel51A1aYKwBrwtQM+ePYObm5tZT56bm4tmzZrh5Zdfxosvvlju/Pj4ePTt2xdTpkzBb7/9hlOnTmHatGnw8/PT7H/mzBmMHDkS8+fPx5AhQ7Bjxw6MGDECJ0+eRNu2bc0qv6NReiOpsAuMFCC7R0gaPMAoPYUlveZkZnSB6WWBmUn79vcoe+Djo8B8tfeWwW2GmqoWK1UQi0TmCdxWqQC1EpBwF3QkCEeEtwJkbuUHAPr06YM+ffrwnr9y5UqEhIRgyZIlAIAGDRrg/Pnz+OabbzQK0JIlS9CjRw/ExsYCAGJjY3Hs2DEsWbIEGzdu5DxuYWEhCgsLNeOsrCwT/yP7Rl3yIC306Z6ywBwPofds7fmyCrvA2JS6wMQiYa45Y2jH7ChUKihVaiw/fBdqqPFm1wjWd37zv4klS2rUEz3EM7UH8uGEN6U7MFpyGOrD1YAbdYDkC0BkfyCgIdITrsHrzg5IREqoAqMg9ggEcp8ArtWBXp8DeU8BjxpANY4WHWo18N8O4PE1oG4PQFEA7JgKFGQCXf4PyEwE0m8DLV8GnicBck8gJBrwi2TmFOcDnsZLWxCEPWByKwxrcObMGfTs2ZO1rlevXli9ejWKi4shk8lw5swZvPXWW3pzSpUmLhYsWIBPP/3UEiLbFWqU3EgEPqDrJYGR/mP3CI3zUmstm9sFZmr5BmNoZ24plGr8eeYqFh9MhCdyEeBUgJdCc4GrWwGo4X72GhbKnPCi5CT3wQrzgYRHzPLVLcBVwBfQaHLilDggJa5s/p19zF+RGAjvCDyKY5QhRSHwLJ597BML2eMDH5ctxx8v/x+NGgvU7gw8vgqk3QAaDgKajy1/P4KoAlQpBSg1NRUBAQGsdQEBAVAoFEhPT0dgYKDBOamphpsWxsbGYvbs2ZpxVlYWgoODzSu8HVAaSiHUgmOu2itE1aEin3nFXWBl51ajzAJkzu+hDMWojueoJXqCDxM+QNCdRAwujYs+zJ7bz1IF89Uq4P5RZrkg0zLniPuNeZVyZz9wZQvg7g90+gBw9gTSrgOJZ4HWkwE3X8vIQRAWoEopQID+k6W6xC+jvZ5rjrEnUrlcThlsPCh9r4XeR3TjQSgLzP6piK5RUReYLqX1qypSBRpqNeM2OrEQuHsI/nnpuFCq8BSbftgCtQy/KbtjiNcdVM+9CwA4pGyOG+oQNBfdRXvJfzhcNxZdu/QAbu8Djn1pwllEQOtXmP2fl7jjAqMAlYJxk1ULA54l8D9c/DHm79Wt7PXJF4AxW0yQjyCsgyAFSKFQwNnZGXFxcWjcuHH5O5iZGjVq6Fly0tLSIJVKUb16daNzdK1ChHA0yTQCFRhdhYfUH/tHsAtMywdmzpo4arVaE7zPOwC64DnwNB54cgu4uA54cApsJ51xnqrdcVEVgWdqDzRq1hp/xiVDCRGaiOOxX9YVnbr0wke77yEfZan010Nrws1Jil//ecA+WDHwkmswutZsCtRsycTwlPIsAfh9EqN4AIyrqtQi1DkWiBoNeAWX/V57fArc+AsIbQd461i4ky8A/+1kLDq5GcDZ73n/vxru7AN+exEYtgZwLr8uEkFYG0EKkFQqRWhoKJRKpaXkMUpMTAz+/PNP1rr9+/ejVatWkMlkmjkHDhxgxQHt378f7dq1q1RZ7Q211h1KsAVINwiaNCC7R+h3RLtWj4usYj4j3e9XWQFPA4qVWg3kPwOubQNOfwtkPuCeZ4R/vPri7ce9kAw/1vpPghri+wvXmYES8JBIsahdU6hcqkOlUuOD7VcBANsvJrMyyxaPbIa3Nl8GACRnGqgzVC0MmHIYSL3GxACV535ycgOajeTeVrMl8yqlz/+Yv8UFwMlFgEcgcPV34IGBOKZS7h4E/sf0S4NIwhyzxTjAxQeI6AlIqWUIYTsIdoHNmTMHsbGx+O233+DjU7HiXTk5Obh7965mHB8fj7i4OPj4+CAkJASxsbFITk7GunXrAABTp07F8uXLMXv2bEyZMgVnzpzB6tWrWdldM2fORMeOHfHll19i0KBB2LVrFw4ePIiTJ8v54RJG0X5CF6q/6Ma0Cs0iI6oeQj9jbQVIXkEFSBvtGCCWBai4ADi7Eri+E0i5wqSI86HdDKDpCKjyMjH4x0u4pQ5GoxB/RPh7IPlxkt50uZT9v7jIJJBJxBjRKhiPs9iKTVo2k4nqJBVjULOamLPjGnKLlHiQkYu911Jx6MZjDIwKwgt1fdkWthoWtMbLnMusTq1eBpTFgFjKKIuKAuD0cuDJDe591Urg4TnmBQBO7sDk/YB/Q3oKImwCwQrQsmXLcPfuXQQFBSE0NFQvPf7ixYu8j3X+/Hl06dJFMy4NRJ4wYQLWrl2LlJQUJCYmaraHh4djz549eOutt/Ddd98hKCgIy5YtY9UQateuHTZt2oQ5c+bgo48+Qp06dbB582aqAVRBtB0AQm9u5AJzPJwFKjGlcTpA+d3hy0M7SL+0EKIUCjQS3QMupQAH5zIp5XzwqQ20n8VYMvwbAGLm/xID+E+UDaVajWKlGnIZt8y6ffO0O9vr9kArxctFBrFYhDBfN/z3KAsPMvIw9TfGzbX1wkOsGtcSvRrV4Ce/uSmtI9RkGPO3bg/GRZh4Bjj3g/F9i3KA70ss8S0nAt3nAi7VLCUpQZSLYAVo0KBBZgti7dy5M8u1osvatWv11nXq1KlcJWvYsGEYNmxYRcUjtFBpfU5CP379IGhzSETYGotHNsPbWy6jZWg11AtwF7SvlgGo4q0wSnYXQQWXp9cxRrkDbzn/BhQC2GVkx9AXgOZjmBigqNHlxrHIJCIoVWoUK1W8lDa5VIxO9cpcZIay3UpdgKUKkC7vbL2MtuE+8HKRWT+hwCMAaDyUefX9mlmXlQLkZTDK4opo7v0urGVeL+8FQmOYdUoFo0jtms64If0igZ6fARE9KuM/IRwQwQrQ3LlzLSAGYeuwXGAVLIRINiD7ZEjzWugQ4QcfV6cK3ZjNka7ui+fY7vQxQnY9QcPyJnd4G2jzKhNHIwCZWIwCqFCsVBmsXbTk4B3NcptwH9b7YsgCVKoAVXPlrtqcXaBA1LwDmNIhHB/2K/e/q3w8A5kXHzaOAkZtYGKH/lnBuNVKeXIT2Poy8PZNQC5MoSYIPgi2NdeuXRsZGRl66zMzM1G7dm2zCEXYHiwLkMB9qRCi4+DrLq9wtWWTFCClArh3BNj9DmZcGYzT8jcQIjbg5pI6A771gd5fAnOfA90+Fqz8AGUWnGKlGkoDluxkrT5huj3DdN1jpTiXuNPKK9z444l43ErN5i2vVRBrPWM3GMAom9oUZAJr+zKB1gqOYO+ibOD2XouKSDgugi1ACQkJnFlghYWFePjwoVmEImwP7eu74FYYFANECECQC0ylYgJyt7+iWeUF6H3JzigbYku1yVg8+xWYi1IFRqFUaTLNjFFQrGKNDVnJSuOnDClI2vyb8BT/PXqOS4mZeLNrXfh7Ope7T6US0RO4tYdZDm0PRL8OdJnDFFf8401+xzjzHVOBujT+KOMe8OA0ENaeidEiCBPhrQD98ccfmuV9+/bBy6vMP65UKnHo0CGEh4ebVzrCZlBrhUEL7SignwZPKhBhGIPp6tqoVMD1HUwdHAP8pYxG/e4T0WuvB1RqEZo5mbc2TamFpkipZmWxGSK7gF/FRBenUgWo/Pdhzs5rmmWRCJg3qPLrsxml79dAxl2mh1nLl5l1YjHQYjxQpyuwuBH3fkNWMW07ch4Djy4CCyOZWCCvWsDZVUBhFtMKZNAKoOkITXA6QQiBtwI0ePBgAMzNa8KECaxtMpkMYWFhWLhwIceehD2gYqXBUxYYYTmMVmxOv8NYDhLPcG/3rYd/pK3wXWIITqiaYnNwNFTqfwCYvyWLk8YFpmJlsRkiq0DB67ilMUBSHQWoewN/HLyRZnC/dWce4P6TXCwa0cx2LEFetYA3/jW8rc9XwN/v6W+rFg50eh/YXdKiKC8duKzTzFqtAnZOBW7/DQz/hXzrhGB4P8urVCqoVCqEhIQgLS1NM1apVCgsLMStW7fQv39/S8pKWBF1RbLAdG48ZuxJSdghnC5WtRo4/zOwvBW38tNlDvBBEvDGvzgSMgMnVEy6ubZlxpzNUAHhLrAIf36BvBoXmM7vpmkt73L3PXk3HQv+vsnrPDZB29eYOKwJf7HX+4QzvcXGbgdqNOXet5Tru8racxCEAARfEeLj4+HrSw3vHA1VBbLAdB+8hVqQCMeCFQOUkwbsfgf4tBrw1yz9yTJXYNjPQKd3mTYOOhRrfXHNbQEqVaiKlWXtNozxzfBmvI7rbMACFFnDg9f+Oy4l4+GzPF5zbQZXnaK6biXlAup2A145BLy0ma0INR4G1O9bNr74q+VlJOwO3gpQ37598fz5c834888/R2ZmpmackZGBhg1tMCWTMA+sIGhhu+o90ZP+QxjBSSoG0u8Cf38AfBMB/Psj9HpxBTQBZl0DPkxhatBoo/X9UijLXFMVaobKgSYLTKVinYeL6m5OaBbszeu4LgaCoL1dndAqlF/hwG0XknnNsxlcdBQg7WuG1Amo3xt49Rgw4ldgyA/A4BWM26u0kOK134E4HRcZQZQDbwVo3759KCws1Iy//PJLPH36VDNWKBS4deuWeaUjbIaKpMHrBUGbQR7Cvlg6KgoA4CGX4KWnK4DlLfUbcnoEAt0+AeakAa+f1G/oyUGx0nIWoFIXlVoNFCqMK0BZPAOggbI0eN0gaHe5FEtGRWFOvwaa98sQDzJyeZ/PJvAMBBoNAaQuwIh13HPEYqDhQKafmVTOKEZtXy/bvms68Ph65chL2AW8g6B1KzYbq+BM2B8VaYWhO5+ywAhdBjYLQpvEnxBwfS3E55+yN4okQO8FTBYRj2aa2i5W7eBk88cAlR0vv9h4L7FiHjFCpZQFQbN/J+5yKWpVc8UrHWojPt24gvPgaRVzgQHA8LVMrzEJdwFITjrMBh5fA278wfQeu/QrED2NCbCm6wxRDoLrABGOSYVaYejcd+iyRLDITIJoy3gEPuJocTNyPVC3O9OUkyfa3092ELRlXGAAcPQWz95iPNCkwesobM5OZWNvF+NKQmJVVIAAYcpP6fz+S4CbfzFZYf+sYF7hnYARv1CvMcIovB+JRCKRfjozadgOQ0VaYehbgMwhEVHlUauBy5uYBplcys+QH4AG/QUpP7qwXGBmjgFyMvPxSnE2YAHSbjBbzc0JL9RlklF83RmrmIdcCnc580z7LLfIcaz0btWZIovaxB8Dvo5gGt/yKFFAOCaCXGATJ06EXC4HABQUFGDq1KmabvDa8UGE/aGuQAyQrgIk1IVG2CHxx4FD84GH59jra3cBxmwVbgnQQvvbxQqCNrMFKNjH1azHK8VQFpizlF3sb92kNkjLLoSPmxNO3UtHoyBPzNoUh9P3MqBQqZFXpISb3EGM/M1eAhJOsNepioGTi5lXq0lAv0X09EWw4P3r0C1+OHbsWL0548ePr7hEhE1SkRggCoImNKhUwMGPgdPfstcHRwOd3wfCO1e4UJT211NhwTT46NrV8fOpBLMeE9DKAtORVzcrTCwWoYYXYx3rUt8fAODpXKY4ZhUUO44CFDUayE1jFOsGA4EHp5gWKeoSBfj8GqB2Z6alBkGUwPvX8fPPP1tSDsLGqUgMkF5zTNKAHJPza4DDnzNVfUtx9QW6zwWaj7XI07klLUA1vV14z/1+TAvO9fMHN8ZHWu0sAMDFiTsLjI/r2dOl7JL+PL8YgV78ZazSiETAC28xLwBo9TKTVfb7ZEBR0oT2yhZSgAgWDvJ4QFSUijRDpUKIDk5+JrBhBJB0lr2+Zkum0q+Lt1lPx84C07YAmTcLrDRYuTyOv9sFIdW53WXjokPxQl1fdPnmqGadoRggPnhpBUdn5fNrvWG3RPYD/i+Z6SOWmwbcOQAUZgNyfgUlCfuH1xVh6tSpSEpK4nXAzZs3Y/369RUSirA9VKwoaGH76nWDJ/3HMVAqgL2xwJehbOXHyQMY/wcw5bDZlR+A/f3SDoI2twVIOyjZGIaUn1LCfd04j8unGaou2i6w5/n8aw/ZLWIJUzsIAJSFwO191pWHsCl4WYD8/PzQuHFjtGvXDgMHDkSrVq0QFBQEZ2dnPHv2DNevX8fJkyexadMm1KxZEz/88IOl5SYqmYpYgKgZqgOS/RhY+QLz5K1NZH9g5G+VpgVbshK0C08FyNTjmqKweblqW4BIAQIANBwM/PsTs/zfDqDJMKuKQ9gOvBSg+fPn480338Tq1auxcuVKXLvG9ll7eHige/fu+Omnn9CzZ0+LCEpYh4JiJfKKlKiAAUjTNVuzP5mA7Jv0O8DqnkC+TkHDoT8xNx8Lf/7aRy+2YB2g0orN5sZQN3g+eLuWFYrMyKXMXABAaDvAzZ/cYIQevGOA/P39ERsbi9jYWGRmZuLBgwfIz8+Hr68v6tSpQzc1OySroBhdvzmGrPxitAj11qwXeh+R6ylAZhCOsE3+/QnY/TZ7nXcI8NoJi7i7ONH6gim1asCYOwZINy3dbMctUYBMyVoL8JBrllOfkwIEgHGDNRgAnF/NuMH+2wm0GGdtqQgbwKQgaG9vb3h7e5tZFMJaJGbk4at9N9G2dnWMiw7VrP/h2H2k5zAX0X/ulz3NC3WBOek8yZr5QZywBdRq4OgC4NiX7PV9vwFav2I1rVdhwRggsVgEJ6kYReX0ARNKqQVIZUIhw9K0eAB4nFVgNpmqPFGjGQUIAM6usljWIVG1sIwNl6hSzNh0CX9dScFHO68hMaOshH6CoYaKFU2Dpygg+6IwG9g8Vl/5mfAn0GZKpd9oWC4wCzZDBfRr9ZiD0pYX2m08+BLgWaYApZICVEatVkzWIQA8vsrUCSIcHlKACMQlZWqW76Rla5YNZZFUtJIzPXjZEdmpwI9dmV5MpdRoCrwXD4R3tJ5cJShVlqsDBAC5RcaboJpCqcVUIaCBainOMgm8SwKhtS1A/yY8xa//PEC+BeStMmh3jj/6P2qRQZACRLApKC67KBQruS8QFb2NkP5jJ9z4E1jVCUi/zYxlbsDQH4FXjwGuPlYTi5UGr7JcLzA+fD6kMa95S0dFwdfdCTO6RWjiKVuEemv6fL3Xuz7vc/qUBEKXZoE9yy3C8JVn8NHOa1hy8LYQ8e2LhoMArxBmOeEEcGGNdeUhrA4VQiRY5BeXPSEassBX3AJEKlCVRlEEnF4GHJ5ftk7uyaS31+5kPblKYBVCtGAlaGN0qe+HL4Y24V2JeVBUTQxsFsT6bcilEuyc3h43U7LRqb4f73N7lBRDzC5UQKVS41xCWfzequP3Edu3Ae9j2RVSJ2DgUuDXIcx4/8dMWQaPGtaVi7AaZAEiWBRoKUAwoABVVH8h9acK8zQeWNmerfzU6QZMP2sTyo8u7CDoyrvcScQiwW0ouB4MalVzRfeGAYKKIno6M8+1ajWjBGlXh3Z46nQFWk5klotzgYX1GRfuvSNWFYuwDoKvCI8fP8a4ceMQFBQEqVQKiUTCehFVG+0nZqWBLJSKWnDIAFRFeXgBWNmhzOUFMA0mx24DPIOsJpYuhlxg5i6ECFiuGGJF8HRhF0PUrcPl8HSZw1gsS0m+APw6GNg5Hch7anA3wv4Q7AKbOHEiEhMT8dFHHyEwMJDcGXaG9udpKA234hYg+s5UOeKPA78OBVQlgfESOdDzM6aeio1dA7SlYdcBMr+cv0xqgxGrzpj9uBVBtyO8yoRsMrvG3Y9x1/71FvD0Xtn6uN+AO/uBoasYSxFh9whWgE6ePIkTJ04gKirKAuIQ1kb7XmaoDAnV8XEwrmwFdr5epvwENgNe2mRTVh9DWLIXGAC0CfeBu1yKnELbaTyq3RE+K1+h93tVqdQcpSkcjNqdgBkXmUywi78ABz4GCrOYatEbX2KsmmEvWFtKwsIIto0GBwdDbUKBLqJqoP3RGvqcK2rBKab006pBQRaw9WVg+ytayk8UMG6nTSs/2kq8tkvX3JWgS9k6NQbDW9bSlcIi5+IDqyN8QbFePSFqkqqFWAy0epmJYavbnVmnKAA2jAKSL1pXNsLiCL4iLFmyBB988AESEhIsIA5hbbTdXoazwCp2jmIzV84lLEBhNvBLf+C/7WXrmo4CXv7bqinufNB24yos2AuslAaBnvh6eDOE+Bjv+l5ZeMjLLEDZBQrWe1C6jtDBM4ixakb0YsZF2cDa/sCRBfzjgpTFwNXfgT3vAvePWkxUwnwIdoGNHDkSeXl5qFOnDlxdXSGTsTMMnj6lILKqjPbTouEYoApagEwo8EZUItmpTLxP2n/MWCIHun0MxEy3uXif8lBYuBK0NmpDaZOVjKtT2WU9v0gBpcqJtT27kCxAnEhkwIhfgN9eZCpFF+cCx/4HnFwM+NYD/OoBUWMAd3+gegTw6CLT/uXBacC9BqAsYlxoAHDuByCgMeDfgCnAWKuldf83ghPBCtCSJUssIAZhK2grQJl53BfKit4Di5QOXI3W1slMAr5ry1z8AcDJnWlpUbOFdeUykWIr1QGyJq5OZZlpuUVKsgAJQeYCjN4CHPoUOL8GUCmYBqqPrzKva9tKJorAqhOS9VD/WI+vMa/ru5jfUEh0ZfwHhAAEK0ATJkywhByEjaCd+p6cmc85p6IxQEUK23hSJnRIPAus6Vk2lrkBE3cDQVFWE8kUWDFArDR4x0gHd9VygeUVKVmZcACQQwqQceTuQN+vgejXmcap13cxVlGWhU9r2c0PKM4HFIVARA/AzRe4cwDITmG2K4uAP2cBU08CEqo9bEuY9GkolUrs3LkTN27cgEgkQsOGDTFw4ECqA2QHKEtcBsYC3U15kB7avCa2X0oGADQL9jJJNsKCPLkFbNV6uJG5ApP2AoFNrSeTGVBYuBeYLeKmZQHKK1RAt6ONsYw1tVqN5YfvIjO/GG/3rMdypzkcPrWBPl8yL0UhcHEd00JDrWZ+L05uQOvJTGycSAxADYhL3nu1mskqWzcIeHQJeHKDsSi1fdWq/xLBRvC3++7du+jbty+Sk5NRv359qNVq3L59G8HBwdi9ezfq1KljCTmJSqLUAqRrNtfGFBfYJwMaIbS6GxrX9BRcIZewMHEbgL9mA4oSi5/MFRj/R5VVftitMCovBshWcNFzgbE1oOwCfdd2dkExHj7LR3x6LhYeYApdyqVivNc70rLCVhWkcqDNFObFB5EIcPYC+nwNrC7JLjvyOdBkmM0nETgSgm3CM2bMQJ06dZCUlISLFy/i0qVLSExMRHh4OGbMmGEJGYlKpDQGyFgnalN6gXm5yjCzewS6NQgwWTbCApTW+ClVfnzrMynBwa2tK5eZqIwsMC6sGSvuphcErRMDpGMBKlKo0HvJCfRZegLT1pelfm88l2hZQR2B4NZA05HMckEmsG0yky1G2ASCFaBjx47hq6++go9PmRZbvXp1/O9//8OxY8fMKhxR+ZReLIsMdIIHqJmp3XBxHVPjp5Qmw4FXjwLeIVYTyRwYrgPkGN9boUHQJ+8+4Yz3s1TdJIej+1zApRqzfO8w8PskUoJsBMHfcLlcjuzsbL31OTk5cHJy4tiDqEqUZs0ojCpAlSUNYTFu7wN2v102DusADFwOONlGLZuKoP31VFi4F5gtoh0EnV+k1LMAFSl0XWLcMUGOEjNlcTyDgFEbmHISAHDjD2DLBCAnzbpyEcJjgPr3749XX30Vq1evRps2bQAAZ8+exdSpUzFw4ECzC0hULj+eiMeQ5rXg42ZYmaXrYhXn6u/Ajqll1Z2bjgQGr2Sq4toZ7Bggy/5/tlIgX7tBay6HC0z34aawmPthx1EsZpVCaDvgpQ3AxtFMWv2t3cD9I0B4RyCoBdBsFFAtlJmbcY9p0Pr0PlOWQu7OWJBC2zEPKvQEajYEXxGWLVuGOnXqICYmBs7OznB2dkb79u1Rt25dLF26VLAAK1asQHh4OJydndGyZUucOHHC4NyJEydCJBLpvRo1aqSZs3btWs45BQUFgmWzZ57nFyOLIxgSAKatv8Cqn6ILNTOtoqhUwKmlTBxCqfLT+EVg0Aq7Un5Y3eCtVAfImr8QiVgEZxnzeeYV6luAdF1iBQruulzWspjZbaulut2B0ZuY2loAUJwH3N4LHP0CWBbFtJ05NA/4tiWwfQpTZDHuN+DsSmb5lwHA9+2B/3bajrZdxRFsAfL29sauXbtw584d3Lx5E2q1Gg0bNkTdunUFn3zz5s2YNWsWVqxYgfbt22PVqlXo06cPrl+/jpAQ/TiEpUuX4n//+59mrFAo0KxZMwwfPpw1z9PTE7du3WKtc3Z2FiyfvXI3LQd9l52AXCLGwbc76W1PyMgzmgVGD4ZVELUa+GsmE/dTSrOXGLeXndUmYWWBWckFZu3bk5NEjIJiFYqVKr3fsq5CVFDMrQBVlgXowoOnkEsl2HI+CevOPAAAdG8QgG+GN4W3q52FVdTpCrx5ETi5CLiyBcgv6ZygVrHbzhgi7T+mXEW93kC/hYCXbg86QggmX/kiIiIQERFRoZMvWrQIkydPxiuvMIGYS5Yswb59+/D9999jwYIFevO9vLzg5VVWQ2bnzp149uwZXn75ZdY8kUiEGjVq8JajsLAQhYWFmnFWVpbQf6VKMWPjJRQpVChSqLDq2H3OOcYsQGSCrYKcXqav/Az+3u4/S4UDVoIGACcpYwEqUqr0CiHqtqLJLTRgAaqE9+vMvQy89OM/eusP3niMaesvYsMUO6ye7BHA1BbqtQB4Fs9Ulz67CshLL5vTcDDQaAhQvQ5QXAA8vQf8uxp4eI7Zfnsv04Kjz5fMb9nOf8eWgpcCNHv2bMyfPx9ubm6YPXu20bmLFi3ideKioiJcuHABH3zwAWt9z549cfr0aV7HWL16Nbp3747Q0FDW+pycHISGhkKpVCIqKgrz589H8+bNDR5nwYIF+PTTT3md0x64nlKm4BlSdIwpQA50H7EPTi4BDn5SNo6eBvSYb7cXTZYLTFV5MUC2hKyk6vXDZ/n4Ys9N1jZdhchQd/jKeL9WHL1rcNvpexlo8/lB+HnIsW5SG1R3l1tcnkpFLGYUnE7vAa0mAfs/YoomNh8LtHuDPbc0nf7GH0yz1ZzHTKHFna8Dj/8Den1unf+hisNLAbp06RKKi4s1y+YgPT0dSqUSAQHsujABAQFITU0td/+UlBT8/fff2LBhA2t9ZGQk1q5diyZNmiArKwtLly5F+/btcfnyZYMWq9jYWJZil5WVheDgYBP+K9vnUuIz1tjThfsrYKxhKcUAVSGu/8FWftrPBHrMs548lYzSWnWAKu1M3MiMtP3QdYmdi+duYG3p90utVuPEnXSjc9KyC5GWXYgfT8Tjgz52XJTRzRcY8r3xOSIR0HAQEN4J+Pt94MomZv2Z5UCNpkCzkZaX087gpQAdOXKEc9kc6NaUUavVvOrMrF27Ft7e3hg8eDBrfXR0NKKjy8ym7du3R4sWLfDtt99i2bJlnMeSy+WQy+3s6YKD1OcFGPWDvrlZF4lYZDQNnixAVYRTS4EDH5eNq4UDnWOtJ48VULIsQI7zxZUZiXfSzox7llvEsghrY+n36+jtJ7znrjx2D290rQt3uX3Fq5mEizcwdBVQqxWw5x1m3V+zGItQvd6AewAgtbPYKQsh2MY5adIkzjpAubm5mDRpEu/j+Pr6QiKR6Fl70tLS9KxCuqjVaqxZswbjxo0rt/aQWCxG69atcefOHd6y2Stn4zNQqFMDhEvPkYpFxi1AjnMfqbrcO8xWfiJ6McGXMvtvQ2LoAcryFg2LHl4QTlLDfRm1LUBTf7tgcJ6l36/vDht2fzUL9tZb1/iTfViw5wae5RZZUKoqRJspQNQYZrk4j1GGljQGPvMDvq4LLIwEvqoN7P0/5npAxRf1EKwA/fLLL8jP168amp+fj3Xr1nHswY2TkxNatmyJAwcOsNYfOHAA7dq1M7rvsWPHcPfuXUyePLnc86jVasTFxSEwMJC3bI5EfpF+ETSZRGw8DZ40INsm5TKweXzZuH4/4KWNdpXqbgxD387KtABZ+yfiZMQCVBoDlFOowFkD7i/A8u+XmOP4ns5S7JvVEbumt8eJ97robV91/D6azz+An07cx/0nOfabMs+XPl8CAU301+c+YbrR52UA/3wH/DoE+Kk7kJVS+TLaMLztiVlZWVCr1VCr1cjOzmallSuVSuzZswf+/v6CTj579myMGzcOrVq1QkxMDH744QckJiZi6tSpAJjYnOTkZD3FavXq1Wjbti0aN26sd8xPP/0U0dHRiIiIQFZWFpYtW4a4uDh89913gmSzR7j6e/1SknaqjVQi0mugqI21L+6EEe4fAzaOYp4IASbtdsQvZV2qHRhpJSqA1r4v84kB0k2HF3IMcyDRuZBseKUtmgV7w63EzRXs44oZ3SKw7JC+9f6z3Tfw2e4bWDm2JXo35p/xa3fIPYAph4B7R5jiifePAM8eALkcVaZT4oCV7YHeXwJNh+tvd0B4K0De3t6aooL16tXT2y4SiQRnUo0cORIZGRmYN28eUlJS0LhxY+zZs0eT1ZWSkoLERHZDvufPn2Pbtm0Giy5mZmbi1VdfRWpqKry8vNC8eXMcP35cU7XakTGm1GjDWIDM2wyVqASSLwLrhwHKEhdBUHNg5HpAIrOuXJWMoa+no7TCALitK6WUPgiVZz0xlwUo9XkB3t92BSE+rpg3qBFEIhHuP8nBmfsZrHl1/N01yk8ps3vUw4aziUjPKQQXU3+7gG6R/lg4opn91Qzii1QO1O/NvLp+CCgVQOIZwKMG4/a6tYdJoc9+xFiESvv/kRLEXwE6cuQI1Go1unbtim3btrGaoTo5OSE0NBRBQUGCBZg2bRqmTZvGuW3t2rV667y8vJCXl2fweIsXL8bixYsFy+EIFBlRarSRiUXlVIImbI7MRGDz2DLlp043xvJjB729zIUjBUEbs+4oeVqAzBUDNH/3dRwrCXiOqVMdfZsEYvoG/WxiZxm3ldLLRWpQAQKAQzfTsPpkPN7uWd8s8lZ5JFIgvEPZOKAh0GI80/vvxh/Mup1TmfYaEd2tI6ONwFsB6tSJqRgcHx+PkJAQigOpghjL7NJGJhVzustKIQuQjZF2E/htKJCVzIwDo5iYH6n9ZzZyYejbWalp8Fb+iRj7rZ9LeIo/Lz9C23Afg3MA8ymMu6+UxZ2ci3+Kvk0CcYMj86y0fYcu2veadnWqY8OUaER/cQipWWXtjb49fBevvFAbXq6OZe3kjbs/MGIdsHs2cH4NoFIwXemnnwU8HTc+VnBO4YMHD/DggX7cSCkdO3askECE5TCm1GgjFYtQRN3gqwa56Wzlp3pdYMzvDqv8AIaD9B3JAmTMhQ0Ab268hNMfdDU6x1zvl4dciuxCJtnCUP9BgGnfwYW2MlcalzSjWwT+b8dV1rwuC49idJsQDG9VC6HV3Soqtv0hEgF9v2G60N/8Cyh8Dhz/GujPr3ixPSJYAercubPeOu0LjlLJXVadsD7GlBptZBLjFiCy/tkIuRls5ce9BjB+F+DuZ125bBCJWORQ31s+8X7lPRCpzBTJ7eFcpgBlF+hnnZZi6PPRVuZK6xuNbhuCW6lZrCSOp7lFWH7kLpYfuYt+TQOxaEQzyI2UA3BIxBJgwDLg/lGgKAe49CvQ4W3Aq6a1JbMKgsP8nz17xnqlpaVh7969aN26Nfbv328JGQkzwdsCVE4WmAM9SNsuSgWwbhCT8g4Azt7AmK3UHBHcFkpHsv4A/H7rH2y/orfu3V5lcTQ8n5fKRaIVfJ5loO2GMQwVs5w7sJHBfXZfSUH9OXtxXECxRYfBrTpTQwhgYgaPf2VdeayIYAWotCFp6cvX1xc9evTAV199hffee88SMhJmgm8WmFQsRpGCgqBtFpUK2DYZeFziAnAPACbtAwKbWlcuG4Hr+1nZjVCt3S6Gj7X39D12FtbrnevgpTYhmrE5LEC3UrOR9LSsbpwxC5AhtK9bUi03GR+L3vg157DzUrJR15tDEvMmICtxE15Yy1iEHBCzFXrw8/PDrVu3zHU4wgKUFxdQilqt1usXpI2xFFvCwqhUwLZJwPWdJStEwPC1gL8d90kyA5VtAVLDuoWA+Fp7tZGKRazaPOVlifFh1uY41tiQUjUuOpRzPcBWdORS9i1rwdAmrHVv99Av0TJrcxxG//iP0Yc6h8OtOtDto7LxnveYa4uDITgG6MoVttlUrVYjJSUF//vf/9CsWTOzCUaYH2Op7dpcfvgclx8+N7id1B8rcnQB8N8OZlkkAQavAEKNV053ODgsA5VtAbI2fK292kjEIlaxcHNYgO6m6bdN4mLeIMPurK+GNcXLP/8LkQh4syu7ofVLbUIwqnUwS0mKCvHGuNXnWPOuJWeh3py/8fmQxhjRKtjiRR6rBG1eA65tBx6eA9JvMQ9VjYdaW6pKRbACFBUVBZFIpFdEKzo6GmvWrDGbYIT54ZsGXx6OFExqU1zexPbXj/wNiOxrPXlsFK5vp6QSqkB7OJddTt2crNu00xRrh1QsYlnKzGEBMmR1lopFLCuzsWtK53p+WP9KW3g4SxHuq5/dpbtvhwg/7J3VAX2WntCryP3hjmv4cMc1XJ3bEx7ODp4yLxYDnT9gEikApndgRA+murSDIPiqEB8fj/v37yM+Ph7x8fF48OAB8vLycPr0aURGkhnelik2wwUNoDR4q/DfTmCnVsHQVpNI+RFAZViAFo2IglQsglwqxvt9rHstNObCNoRELGbV+DKHAqSLqqSdklKAdUkkEqF9XV80reXNe5/IGp5YPCIKr3asjWoctYGazN2PHZceWuR/rFLU6QrU7swsP08CDgrr5lDVEawAhYaGsl7BwcGsvmCE7VJsJh84FUKsZBLPMkHP6pISE1FjgX6OW7ujPKyVBdYwyBOnP+iKf2K7IcDTutfEVzrUFryPrgXIXGnw2hQpVFCq1CzLzIxuEYZ3qACDm9fE//VtgENvd+Y8x1ubL+PjXdcscu4qg0gEDFgKyEoqxv/7E1NY1UEwyS586NAh9O/fH3Xq1EHdunXRv39/HDx40NyyEWbGlKdCLkj9qUTS7wKbXmIqtwKM8jNwGZnhjMCVgVVZfcD8PZ1Rzc36Pale71RH8D4SCwRB61KoULGuQ63DqmE2R+CyOfFxc8LsHvVw7v+66W1bfzYRn+++btHz2zzVwoBOpRncamDjSCD+uDUlqjQEK0DLly9H79694eHhgZkzZ2LGjBnw9PRE3759sXz5ckvISJgJ7SDoYS3168X4efCrHkwWoEoiKwX4dQjTwBAAwjowT2vU2V0wjlYHyMVJ+HeECYLWUoAs4B0qUqhYKfqG+n9ZAn9PZ6wY00Jv/Y8n4vHGhovIMNJvzO5pPYUppwEAzxKAdYOB+BPWlKhSEKwALViwAIsXL8bGjRsxY8YMzJgxAxs2bMDixYvxxRdfWEJGwkxoK0CtQquxtrnLpfzjJBzrXmIdlApg1zTgeSIzDmgCjFrPNDokjMKlnztaFlhFKFUWVRawABUpVKwU/crOxqrp7cK5/q8rKejw1RHsvZbCud3ukbsz5TRcSu4LaiXw50ygwHA2sD0g+NuXlZWF3r17663v2bMnsrL0G9wRtoP2hcdNzr6RSiUi3k/JZAGqBA5+Atw7zCy7BwBjfwecvawrUxWGvrPlU5rZW+oGs4QLLLtQga/3lcWYyCrJNVlKXX93eJRc+0a3DcGAZkGabXlFSny445rZsmWrHKHtgHfuAoEl5Wye3gN2vG5dmSyMYAVo4MCB2LFjh976Xbt2YcCAAWYRirAM2llg2im7AFP9me9TMt1KLMz9o8CZ75hlkYRxe3nUsKpIVQnOStCVfKOtypRWDLBEEDQAbDyXpFmWVkJ5Am3c5FKsndQGsX0i8X6vSHwzvCkmtgvTbM/ILULdD/9GXFKmYxZOlEiB4b8wliCXakDbV60tkUXhZU9ftmyZZrlBgwb4/PPPcfToUcTExAAA/vnnH5w6dQpvv/22ZaQkzIJ2Fpi3KztQUybEAkQ1xCxH/HFgw0igtJJw97lA/T7WlKjKwZ0FRl9aD2cpr1YU5rIA6daK4yKvSHhrjIrSMrQaWmqFAMwd2AgNAj3w/ray7vKDvzsFD2cpDr3dCf4eDpbl7BMOjNrIPHT5hFtbGovCSwFavHgxa1ytWjVcv34d16+XRc97e3tjzZo1mDNnjnklJMyGdnVYbxd2bQyJWMT7aczafY7slvQ7wOaxgKKAGYd1AGKmW1cmO4FigIBXO9TGybvpOBv/lHN7qbpSGggtpFYPF3z0p9wiZYXOYS6Cq7nqrcsuUODrvbfw9XDGJZRbqNALHbBbQmOsLUGlwOvTjI+Pt7QcRCWgXZVV1wUmk4h5W4AonMIC5D0F1g8vCzqs3QUY+StlfJkAl4LuaFlgXEgkIrQO8zGoAGnmmSkImk87DmtYgLioWY07OHrrhYcY3TYE+/57jFXH7+HVjrUR26dBJUtHWAqyC9sxhQr201V+ydOWi0yiHwQt5naBta9bXW8dBZSamcIcxvLzrORBI6Axo/w4UEl6s0JZYJzIxGJM7VwHkTU8ON+P0jUaF1gFLUB8XGi5hbZhAQr04laAAGDIitNYeewe1Gpg1bH7uGqkTyJRteBlAZo9ezbmz58PNzc3zJ492+jcRYuoQq0tsPV8Ej7ccQ0dInzx04RWEIlEyClknrbc5FK9rsoSDgVodNsQJD3N0zs26T9mZtc04MEpZtnNH3hpEyk/ZoYsQMx74C6X4u+ZHQAA4bF7WNt1XWAVbQ7Op/BqbqFtWICcpGJ0i/THoZtp5c4d9cMZ/DdPPxOaqHrwUoAuXbqE4uJiAMDFixcNNq6jJpm2w/fH7qFIqcKhm2k4/+AZWoZUQ3JmPgAgv0gBkUjEakgok+hngfVvGoiVx+7rHZssQGYkbiNwfRez7OQOjN4EeAdbV6YqDmcWGClAmky48q7T5gqCVvKopGgrChAArBrXEvfTcxHh746nuUVo+Rl3d4PcIiW+O3IX07vUrWQJCXPDSwE6cuSIZvno0aOWkoUwI/ef5GqWH2Xm47sjdzXj0sBDiZYCxFUHSCISgeu+QbcSMxF/grH+lNLnK6BmS+vJYydw3eApC4y/FUxipiBoPhagcD/97u7WQioRo14AY3mt7i7HtM51sOLoPc65X++7hRqezujbJNCkqtuEbSDoqqBQKCCVSnHtmoM3kLNxdJ/cZm6Kw9FbT4zuIxWL9GqlSCUiTmsPWfrMQPodYMs4QF3iZ6jfD2j2knVlsmMqueCwTSKXGr9Rl+o7mjpAFbUAlbO/t6sMXw9rVqFzWBJvji7y2ry99TIaz92HJ9mFSMsuqCSpCHMiKKdPKpUiNDQUSqVtBK4R3JRXwKthoCcAdiyPVCzWe0qWiMXcFiDSfypGbgawfhiQ/4wZ1+lWkvFFd2lzwO0Co/e2X5NAXvPMFQRtLAusWS0vbJkaU65SZk08nI0rQACj5LX+nHGVLRzeDEOa12T1UyNsG8FXhTlz5iA2NhZPnxpPpSSsR3kKULs6+pldUokIusVyGReY/o+ZYoAqgFIB/DmDaTgIAP6NmB48lO5uNrgLITr2d/a1jrXLddX0aMg0w9TUAapgN1RjFqC8IqVNKz8AUFgs7EH/7a2X8eamSxaShrAEgqs6LVu2DHfv3kVQUBBCQ0Ph5sb24V68eNFswhGmUViOha6aG1MFWvv6JJOI9RQbidiAC6ziIjou2yYDN/9iluWewJgtgLOndWVyABw9CNqrHHdO01peCPZhigG6lihKecVKqNVqk13e2jFAPm5OeJpbpBnfScsx6ZiVSZBW49QGgZ6Y0iEcErEIMzfFGdxn95UUvNElC+k5hYiuXb3Sm70SwhCsAA0aNIhiQGyc8ixA42NCAbB9/M4ysV7aq0Qs4vTKkDfBRO4eAq7vLBv3+hzwqmU1cewVsgAJJ0bLKuxZ4vpRqtTIK1KaXP1Y2wLk5y5nKUBVge4NAtCjYQDuP8nBty81R11/dwDAjkvJRmMq+yw9AQCY2C4Mcwc2qhRZCdMQ/M2eO3euBcQgzIkxBahJTS+Nb1vbx+8slaBQpwuyRCziVHapFYYJJJwENo0uG/f5Cmgx3nryOBiO3gyVK5ynWS0vXC4p6ldLqxWEdpX47ALT2z9oK0BeLuXH09gaYrEIP45vpbf+vV6RuPrwOTLKUejWnk4gBcjGEfwsX7t2bWRkZOitz8zMRO3atc0iFGE615Kfo+fi4wa3u8nL/O7aF0W5TL8OkNSQC8yx7yXCefYA2PhSWY+v4LZA61esK5MdQ60w+LF0VHOE+7ohurYPRrUuqz2lHfybXVBs8vG1FaCIAHfWtg4RviYf19o0DPLEhY96YEoH+24U6ggIVu0TEhI4s8AKCwvx8OFDswhFmM6r684brb9hyCctl0pQqNC3AHFngdHNhDfF+cAfbwCFWcy4Tldg+C8U9GxBuL6elAWmT5ivGw6/3Unv96xtAcqqgAKkfR2SScS483kffLzrPzzOKsDH/RuafFxboUEgxe5VdXgrQH/88Ydmed++ffDy8tKMlUolDh06hPBw0oitzaPnxutRGFKAnKT6FiCJWKRJidWGHqYFsPttIL7EIudancn4oqDnSocsQNxwPcxoW4CyCkyv1KzUCiqUikWQScRYMLSJycezNdwdpTO8HcP7Exw8eDAA5gczYcIE1jaZTIawsDAsXLjQrMIR5kemFQshEYs0ZuqrD58jzNeVNVcqFnGmfFEMEE/OrgLi1jPLTu7AyN8AZy/j+xAWwdEVILWAmj6eOjFApqLQSqOX2GEMVpGygs3SCKvD2y6sUqmgUqkQEhKCtLQ0zVilUqGwsBC3bt1C//79LSkrYQa0XQHavWxah/vo3STEYhGnsuPg9xJ+3D0I/P1e2bjHPCC0nfXkcSC4W2HQl5YvnhaIAbLHMgTRtavDidLcqzSCP734+Hj4+rID2DIzM80lD2FhVFpPgm90qYv+TQMRXdsHY9uG6MVJGLxo2d+1zLzkPQV2vVE2rt8PaDnRauIQ9nkDLo85/RpolgdF1eS9n1xWdh0or6SGMbRjgOyxF5uvuxybX4vGwuHNsP+tjtYWhzABwU7ML7/8EmFhYRg5ciQAYPjw4di2bRsCAwOxZ88eNGtmu71dCKBYyyztJBVj+egWmjGXBYgLqgRthOICYPsUIDuFGdfuAoxaT6lzlQjXO+2IFqAJ7cJQ3d0JNb1dNUUO+aD9IKSoQDVoe7cAAUDzkGpoHlINKc/zObdXpJAkYXkEq+WrVq1CcDCTMnngwAEcPHgQe/fuRZ8+ffDuu++aXUDCvCiN9OfhSoPnghQgI/z9LuP+AgBnb2DwClJ+KhnuLDDH+wxkEjGGNK+FNuE+gvbTrplUbOR6UR5sC5B9v/+G2nroZtYStoVgC1BKSopGAfrrr78wYsQI9OzZE2FhYWjbtq3ZBSSEIZeKjf7ojD3Q6V6kmEKI+vPofm6A8z8DF9cxyxIn4MWfAM8g68pEALBPF4yl0E6UqJgFiJ0FZs84y7i/X4UKFZxlVPLCVhF8VahWrRqSkpIAAHv37kX37t0BMKY+6hJvfVzLaXhoLBlDTwESced72fm1zDTSbgJ/v1827vs1ENHDevI4MFzfWnu/AZsTtguMLEB8MGwBonuiLSPYAjR06FCMHj0aERERyMjIQJ8+fQAAcXFxqFu3bjl7E5YgLasAj54XoFktr5KnDcOZG8YuRFwWIG7s+2ImmJwnwMaRgLKQGTcfC7SYYHwfwmJQL7CKwXaBUQwQHwx9vwqLyQVmywi2AC1evBhvvPEGGjZsiAMHDsDdnSlxnpKSgmnTpgkWYMWKFQgPD4ezszNatmyJEydOGJx79OhRiEQivdfNmzdZ87Zt24aGDRtCLpejYcOG2LFjh2C5qgrZBcXos/QEBn93ClvPPzRaBRowXsVZ9yJlaK6dX8uEoSgE1r8IPEtgxn4NgJ6fk5/QxiAFiD/axVIrZAFi1QFyTBckxQDZNoItQDKZDO+8847e+lmzZgk++ebNmzFr1iysWLEC7du3x6pVq9CnTx9cv34dISEhBve7desWPD3Lqun6+flpls+cOYORI0di/vz5GDJkCHbs2IERI0bg5MmTdhmjtP1isqYp33vbrpTbdNDYfYBvnARlNWhx8FMg5TKz7OIDjFgHuHhbVSRHh7LAKob2g1CxiTFAadkFuPU4m/OYjsSJO0+QmVeExKd56N80CE5Sx1QEbRVeCtAff/yBPn36QCaTsVpicDFw4EDeJ1+0aBEmT56MV15hGkMuWbIE+/btw/fff48FCxYY3M/f3x/e3t6c25YsWYIePXogNjYWABAbG4tjx45hyZIl2LhxI2/ZqgIZOYX45I//WOvKq9sxu0d9g9v4XqQc9Fqmz+39wD/fMcsSJ2D8TsCvnlVFIrhx1BuwKbAsQCZkgaVlF6DN54dY6xxBAR3esha2XmD3w/z0z+ua5ZxCBcbHhFWyVIQxeClAgwcPRmpqKvz9/TUtMbgQiUS8A6GLiopw4cIFfPDBB6z1PXv2xOnTp43u27x5cxQUFKBhw4aYM2cOunTpotl25swZvPXWW6z5vXr1wpIlSwwer7CwEIWFhZpxVlYWr//B2qw9naC3rsBI0N30LnVQv4aHwe18L1LUCgNAZhKwc2rZuMd8IJBqYNkCFANUMaQCssCUKrXee7vy6H29eY5QMfmrYU1x5eFzluVLm493/UcKkI3B61upUqng7++vWTb0EpIFlp6eDqVSiYCAANb6gIAApKamcu4TGBiIH374Adu2bcP27dtRv359dOvWDcePH9fMSU1NFXRMAFiwYAG8vLw0r9I0f1tnV9wjvXXGWv5E165u9HhcNwlKg+egIAtY2w/Iy2DG9XoDbV+zrkyEFhxZYHbYi8pSaGeBGXOBfXvoDprM3Yc1J+NZ67kewtrVNX7tsQdEIhE2vRqNOn5u1haF4InV1XLdeBJjlTPr16+PKVOmoEWLFoiJicGKFSvQr18/fPPNNyYfE2DcZM+fP9e8StP8bR1D1UcNUd5TMD0l80CtBv56C8h8wIw9awGDqNihrUN1gPij7S405gJbeOA28oqUmPfXddZ6XXfjyrEt4O/hbF4hbZRqbk449HZna4thFCGNce0dXi6wZcuW8T7gjBkzeM3z9fWFRCLRs8ykpaXpWXCMER0djd9++00zrlGjhuBjyuVyyOVy3ue0FYR+j2XlmKG54iTot6LD+dXAtd+ZZakLMG4H4Gb/T7dVCaoEXTGEuMBK2X7xIYa2qAVAv1K8ZzmJGfaIVCzizMh9lluEam5OVpCIiQ8d89M/SHlegF8nt0W4b/mWKpVKjTP3M+DnIUe9AMPhE1UVXgrQ4sWLWeMnT54gLy9PE4icmZkJV1dX+Pv781aAnJyc0LJlSxw4cABDhgzRrD9w4AAGDRrEU3zg0qVLCAwM1IxjYmJw4MABVhzQ/v370a6d/XXiLu/SFFbdFQkZeZoxWYAqyO19wB6tdi9DVlLQsw1CWWAVQ/tBqZhnGvzsLZc1CpCusukuF5xsXOX5YmgTvPf7Fb31zecfwEf9G2LyC+GVKk96TiH6Lj2BtGwm1nX6+ov4enhT7PvvMYa3rKXpFZfyPB+bziWha6Q/mgV7Y+9/qZi2/iJkEhFOvt8VAZ72Zcnj9c2Mjy/z8W7YsAErVqzA6tWrUb8+k1F069YtTJkyBa+9JiwOYvbs2Rg3bhxatWqFmJgY/PDDD0hMTMTUqUxwaWxsLJKTk7FuHdNeYMmSJQgLC0OjRo1QVFSE3377Ddu2bcO2bds0x5w5cyY6duyIL7/8EoMGDcKuXbtw8OBBnDx5UpBstsiNlCzkFSnRMrQar/lNanmzFCBZOW4ArjgJMgCVkP2YaXKqLrkhxLwBNBpsVZEI/pAFiD9sF1jZFeDknXRcT3mOl9qEwMPZsFVHV9l0c0AFaHjLWpwKEADM/+t6pStAiw/c1ig/AHA9JQtjfzqLZ3nF+PtqCsZGh+Kf+xm4lJiJ1KwCLD10B/e/6Itp6y8CYGLBfj3zALO6RyC3UAkvV+7PPz2nEBvOJqJZsDeah3jD08j3xBYQ/M386KOP8Pvvv2uUH4CJzVm8eDGGDRuGMWPG8D7WyJEjkZGRgXnz5iElJQWNGzfGnj17EBoaCoAprpiYmKiZX1RUhHfeeQfJyclwcXFBo0aNsHv3bvTt21czp127dti0aRPmzJmDjz76CHXq1MHmzZurfA2gCw+eYuSqf6BQqfHLpDboVM+PVWlVl+puTpDxruxcul1fQeJygTmcW0xRCGwZBxQ8Z8aR/ZmsL8Im4Yr3E5MCxBspKw2e+bE/zirA2NVnAQDJz/Lx6aDGBvfXvTw4ogVIJBKhQ4QvTtxJr9Tz/nH5Eb7aexMT24XhlQ61NevXn03Um/ssj+kYcCctR6+cCgDkFbOD2YuVKvRcfBzxGbmY2qkOpnaso6lr9OeVR/hq7y2k5xTqHWdAsyAsHN7MJmsgmdQMtbhYv9WCUqnE48ePBQswbdo0gxWk165dyxq/9957eO+998o95rBhwzBs2DDBstgyH+64prkYTVhzDiElJktDeDhL9Sw65WXC0FMyB2o18NdsIIm5+MMjCOi/BKCgWpuF61tM323+sJuhMhbPf+5naNb9cuYBpwKkVqtxMTETcUmZrPWOaAECgCAvl0o/54yNlwAAn+2+wVKATCG3UMEa/30tFYlPGY/C90fvYe2pBIhEQF6R8ezvPy8/wr7/UrF0ZBT6NAlEsVKFIoXKJr4XgiXo1q0bpkyZgtWrV6Nly5YQiUQ4f/48XnvtNU1jVML8FOho46VfREMsGNoUsdvZJtjybgK6wYsEgDPfAXElQfZSF+ClDYC7n/F9CJuDYoD4w26Gyjx0qXiYfVefjMdnu2/orXd10G7o49uFYvN562UUJz3Nw/QNF01W/rML2ApQXhF7nF/Mv+xNkUKF10vcaQCjZC8aEYUBzYJMks1cCH6MXbNmDWrWrIk2bdrA2dkZcrkcbdu2RWBgIH766SdLyEiAv3ISWcMDW16LQUyd6qz4H4B9YeOCnpJ1SLkMHPiobDx4BRDU3HryELzgzgIjix1fZKxmqIwFiE9BaC7lB3Bc92OjIC8ceaez1c7/5d6buPLwOS4mZpq0f46OBSg9p8gMUjEUK9V4f9sVnLqbjvj0XLMdVyiCLUB+fn7Ys2cP7ty5gxs3bkCtVqNBgwaoV4+yYSwJX+NMq7BqaBPuAwCYEBOKX8480GwrzwUm4/DRqh01DLogC9g6sSzoucM7QOOhVhWJ4AdVgq4YIpEIErEISpXaoAVIxbNL/CcDGppdvqpEWHXjoQqW5O9rhov/8mEuR1yQUG7M640z99Mxe8tlZOaxQ2fyipQY8xMTWrDt9Xa8k3vMiclOuIiICERERJhTFsIIfC/gTpIyc3P/ZkFsBaicY3g6c3wduIKg7V0pUquB3bOBpyUl/auFAR3fNboLYduQdVMY0hIFqDQNXtcDpuSZCTGsZS1zi1alMFSAV6VSW9wyFujljIfPhBXL1UY3losvg6KCkPwsH4OiguDiJEHXyAAce7cLlh++gwBPZ7QK88GbGy8i6WmZbC9+f9oq5QGsH4VE8IKvC0w70t5Zyva9S8sphOiIBcs4ufAzcHUrsyx1Acb8Dsjsq/6FPcPVq44sQMKQScQoVKg0iRd6FiCeCpCzg8b/lIdCpYaThb+T5RW+tRQdIvz0FF8vFxk+7FdmDdzwSjQ6fHWENcca5QHIMV5FMEUBcnFif7zl3QQCvcpu8o2CPA3Os+s0+DsHgN3vlI2HfA/4kqWzqkO9wIRR+n6VZoHperz4Nom31k3Y1jFWwsRcPMnWT0k3J61Cq+HPN15AhwhfwfsG+7hi1biWeusVPAtvmgv6dlYR+D7Bapv65ToWIFk5NwFXJyl+HN8KL7UJxnejWwgXsqrz/CHw+yRAXZLdED0NaDTE+D6E7cEVA0QZjoIoDRovbYaq2xOMjwvs18ltzC+YnWCsx5q50A1iLg+hbmJnmQRNannh18ltWfcnb56ehF6NamBWd/bD5fvbrnLOLVaqsOLoXfx+4SHUajWKFCrsvZaCh8+MZ0OXBylAVQS+/mLtL6KLk8TgNkP0aBiABUObIqykT4w9G3tYFBcAO6YChVnMuMEAoOfn1pWJMAlqhVFxSuMBn+czgauFxewbNh8XmI+Vel5VBfj2WKtMXu0orG6Qr3vZ5/vLy23gLBOjSU0vdIn0532MqZ3qsMbbLj7knPfzqXh8tfcW3tl6GatPxmPKuvOY+ttFvPj9acGKnja8YoCuXOEu6c1F06ZNTRaGMAzf67f2g66u/728VhhccHUOruPvLvg4No1aDeyLBRJOMGOPQGDgcip2aEdQGrww/D3luJ+ei5xCBXIKFShUsGu+8MkC85BTTKEhuBqlVhS+mXmGaFrLCzO6RWDZoTu85o9vF6ZZfiHCFxfm9ICrk8Rg4DcXzjIJVk9ohcm/nDc4R61WY/O/ZfWUtMstPM4qRLNP9+OTAQ0xpm2o4AcdXgpQVFQURCIR580QgGabSCSCUsm/OBLBH75NCbUDQJ110trNkXWwY1o7+yttf+5H4PwaZlkiB4b9DLh4W1UkwnS4LsASigEShHbTy7SsAhQqdFxgPG627lxZpQQA4Mz9DAw0cxHA4gq61dzkUvRoEFCuAjSmbQg+6BOp1w/O1MrO3RoEwFkmRkGJlTG7oJh17N1XU3DvieFaQUqVGh/v+g+n72ZgJUdckTEEN0MlKp+8IgWuJWfxmqv9pFZe1hcftC9z1d2c0Dyk8ms1WJSkf4H9c8rGfb4EQmOsJw9RYagVRsVhKUDZhfoKEA8XmJucMsAMMWPjJbMrQBV1q7k6SeAsK/+e8dngxoKsPHzo2zgQ2y8lAwBSnhfAw1mGR5n5+PbwXWw8p9/HjIu9/6Vi24WHOHL1QfmTS+ClAJU2JyWsw8Q1//Keq9u/hTBC9mNg8xhAWZItET0NaPWydWUiLALFAAnD30OuWU7LLkShTtuD+0aeyEvRTcIgLAuXAlSrmgvvWkByqcToZ1bD0xmLRjQzu/IDMHKWkpiRh3oBHojdfhXHbj/RrA/2cWHVDuLi7a2XoSrkHxhtso3y+vXrSExMRFERuzz2wIEDTT0kYYBzCU+Nbq/u5oSMXOZzsGTHXbtKpFGpgC3jgZySBr7BbYHuc60qEmEeuFth2NOX1/JoJ1AUFiv1LEBvb7lc2SIR5cDlAgvw5F8MUS4VG7QADWtZC18Pa2oR5QcAwv3cNMuvrDuP+AV9cTOV7fWY1rkuYreXZYn1axqIf+OfIq0C6f6CFaD79+9jyJAhuHr1KisuqPSNoRgg88KnLsLqia3x4ven4SKTYPILFesA7DAc+x+Q9A+zLPcEBq0ApHLj+xBVAiqEWHG0EyYUKrWeApScaXqFYcIycFmAvAQUt3WSiiE3UrjSUsoPANTxYyfWRM07oMlABIDYPpEY2SqYpQDV8nbBt7HdUPv/9ph8XsHmgpkzZyI8PByPHz+Gq6sr/vvvPxw/fhytWrXC0aNHTRaE4KaIQwFaOiqKNY4K9saZ2K44HdtVL/X0kwEN4eYkwTs9TevVZpdFD+8eAo59WTIQASN/BXzrWlUkwrJQFpgwZFKthqhKFe8kDEIfU6+9QuH6jAQrQAY8CJa+D+gqQNrKT69GAXitUx29JB5PFxnEYhH8PEx/cBV8VThz5gzmzZsHPz8/iMViiMVivPDCC1iwYAFmzJhhsiAEN0UK/S+1C4eW7u/hDE9n/S/7y+3DcWVuL7zR1bRqxuzvvR08ReemAzunlY27zwVqd7aWNIQF4HpQJf1HGNoKY7FSzbv1BaHP9C51cXB2J/RvGmjR83Cl1gtRgJgYIOv8UNzkUrSrU51zW6CXC+d6b1fmf1szoTVGtgo26byC/1ulUgl3d0Zb8/X1xaNHjwAwgdK3bt0ySQjCMFwKkND+OmT+LyE/E1jbH8gp6ZJcpyvQjpR2e4M7C4w0ICFot7AoVqoqpXWDvSISiVDX392iLiSAO1yivOr/2jhJxRaX0RgjDCgxhgpqujkxETxNannhy2Gm1R8UfFVo3LixpjBi27Zt8dVXX+HUqVOYN28eatem+BNzo+t7Byq3aal2c7o5/RpU2nktwv45wJOSIlpufkzcD90YHQJ6BhCG9o1ToVSBPGAVp6KFCsujmCMGSEiAsJOV+7YZUnQM9fEzR107wUHQc+bMQW4ukwL52WefoX///ujQoQOqV6+OzZs3V1gggg1XDFBYdddKO39UsDd+frk1sgsU6NfEsiZci3JtG3DpV2ZZ7glM2gd4VuH/hzCMznWxR8MAqz7ZVkW0LUBF5AIzC5a2onH1F2sY6IldcY947W/MWqSuhKZIhjwbhjI4zaGwCT5Cr169MHToUABA7dq1cf36daSnpyMtLQ1du3atsEAEGy4XmLerE/o2qQGRCJg/qJHFZehS3x8DmwVVXVda4ln9uJ/qdQxOJ+wLbSsmwQ+pngVI2A1wwyttzS1SlUc3RsdQZwVT0bUARdf2wdho/jX8rP2QEOLD/WAv0bLSfz6kMQCm9Eunen6seWPahgg+pyALkEKhgLOzM+Li4tC4cWPNeh8fH8EnJvjBpQABwIoxLZFVUMwZ+ExokX4H2DgSUBQw46ixQKtJ1pWJsCi6afBVVG23Kk46MUBCLEDerjK0q+trCbGqNLrvoVKlNujeMQXtGKDXOtZGbN+qFbJQw8sZ/xvaBCuP3UNCRlkxQ23L1Og2IYis4YEQHze9Zt/v9KyPs/FPcTuJfyFEQRYgqVSK0NBQqvVTiXC5wEoh5acc8jOB314E8p8x49qdgf6L7ayiI6GL7sdr7SfbqohUws4CE2IBousSN7rvobkbomofryKK1dJRUQjycmZZZEzNshLKqDYhWD66BWudtudBJBKhZagPZ+p7NTcnfPtSc0HnMykGKDY2Fr/99htZfioBQxYgggdH/wdklvSFCWgMjFgHSLkD7Qj7hfQf4Wg/dQvNAquyrnILw2UBMifZBWVtkCqS9TgoqiYGRdVEsVKFjecS4eUiQ9va3CnqlkCmE9sjpIq70DR+wQrQsmXLcPfuXQQFBSE0NBRubm6s7RcvXhR6SMIIugpQ3yY1rCRJFePf1cDZ75llsQwYtR5w9rKuTESloHu5pNuxcLRvQgqBQdCk/3CjW6nZ3Bag7RcfapblBlparJnYCpPWnud1PJlEjPExYeYQTRC6CrREgDJXs5oLfFxlSOI5X7ACNGjQIDIpVyK6afDzBjU2MJPQkPgPsDe2bNzjU6BamNXEISoX3esTXa+EU5E6QGQB4kapo0TyaXMkhCStnl/dIgM453C1ibE1dLPRhFmAJNgwJRqNvuA3X7ACNHfuXKG7EBVAOwboo/4N4etO/aqMkpkIbBpd1uG9xXggZrp1ZSKsCuk/wtG+6RSr1OAoMWMQMb3hnOjWATKnC+zPy49wI4VpHuoik6B+DQ/uiVXgo5HqusAExjPVMpBNxoVgR2Ht2rWRkZGhtz4zM5MKIVoAbReYJTu92wVFecCmMUBeyfczrAPQa4F1ZSIqHb0gaOuIUaXRvtYUK1SCiviZM7PJntCzAJlRAXpz4yXNcoGCnaTUNdJfs1w/wIBiZEPIxKZbgIQi+I6akJDAmQVWWFiIhw8fcuxBVARtBUhu5UqdNo1aDfw5E0hlqpSjWjjT5FTubnw/wu7QiwEii4RgtG86CpUwF1hWvqL8SQ7Iiy1qscaWKoyo+23/8sWmmNQ+HN++1BxB3uy+Wi+1CYFcKsbC4c0sIosp6FqAhMQACT4X34l//PGHZnnfvn3w8ioLKFUqlTh06BDCw6ngmLkp0tLmyQJkhPNrgKtbmGWZGzBqA+BSzboyETYBqT/CkWlda4RWgk7LLrCESFWeUa2DMWfnNc3Y3EHQpege1s9Djo8HNOScu2BoE3w6sJFN3Vt0Y8gsaQHirQANHjwYAPM0NWHCBNY2mUyGsLAwLFy40KzCEewYIFv6ktoUl9YDu2eXjYd8DwRw/+AJ+0e/DpB15KjKyMTaWWDCLEBUuoMbqUSM4S1rYesFxlOi5GhdYQr/PXouaH6DQE/cSMlCgCcTT2pr9xXdIGhLBtXzVoBUJR9WeHg4/v33X/j6UqXPyoAVA0QuMH2SLwC7tNpctJoENBxkPXkIG0C3EjRpQELRqwMkwAJEjeMNw2oxIuCNKlaqMPHnc0h9XoCfJ7ZBSEk/yAPXH2PKOn5p7aX8PLE19lxNQY+G3Jli1ka3hpElY8oE31Hj4+NJ+alEKAjaCIU5wPoRZWNnb6DHfKuJQ9gmZAESjvZTd7FSbfFO5o6C9vuqWxfIGBvPJeLU3Qzce5KL2VviNOuFKj8A03Ji0gvhCBaQLVWZ6KfBW+6+J/jIM2bMwLJly/TWL1++HLNmzTKHTIQWheQCM8zRBUBeetl4ymEKeiZI4TEDIpFIY3EWagEiDKN9M3+UmW9kZhlPsgux9XxZgtHFxGdml8uW0E1asKQLTPAdddu2bWjfvr3e+nbt2uH33383i1BEGWQBMsDt/cA/K8rGrx2nDu8EAP2gZ6pLYxqlT+LFShXMFK7i8GjfzN/aHMc558SdJ5i56RIuJ2WioFiJXkuO42pyWZyPJS0itohNBEGXkpGRwcoAK8XT0xPp6ekcexAVgWKAOLjxF7B5LICSp9JuHwOBtpPGSdgWpP+YhrNMgtwiJfKLlRZL2XY0tN/H3CLupuLjVp8DAOyKe4Qfx7fC09wi1nZHq7RtUzFAdevWxd69e/XW//3331QI0QKw6gCRBQhIvwNsHgON8tNgINB+ljUlImwM/VYYVhKkiuMqlwAA8ouU5AIzE1kFxYLmc8X4aFtEHOGh2JIWL8EWoNmzZ+ONN97AkydP0LVrVwDAoUOHsHDhQixZssTc8jk8pSmTALnAUJgNLG9VNvYKBl5cDYgl1pOJsHkoC8w0XGXM7SG3UAlXJ/qNmYOcgooXiZRoWUTEYgA6hqTafuwG5VUdm0iDL2XSpEkoLCzE559/jvnzmYybsLAwfP/99xg/frzZBXRkdDMvZA6g7Rvl8Gfs8bCfAamTdWQhbBb9StBWEaPK41Ki9OQXK+nhy0xkm0EB0rYAuctlKCgu1Ix93eX4bnSLCp/DlrCpGCAAeP311/H666/jyZMncHFxgbs7Zd5Ygsc6FVWruzvwzT75AnB2Zdk45g0guLX15CFsFuoFZh60rT55RdTewhxkF7JdYEUKlWDlMj2nCPP/uo4RrYLRuKYnjt56AgBYOioK/ZoE6rWSqOrYVBYYACgUChw8eBDbt2+HusQ3/OjRI+Tk5JhVOEcnM6/sx9IixBtyqYOaoQuygC0T2eu6fGgVUYiqB1mATENbASouqVljyadxR0C3T1q+TiC0mmes1eqT8Riw/CQrqLpLpL/dKT+AZT0fgo/84MEDNGnSBIMGDcL06dPx5AmjfX711Vd45513BAuwYsUKhIeHw9nZGS1btsSJEycMzt2+fTt69OgBPz8/eHp6IiYmBvv27WPNWbt2LUQikd6roKDq9acpKC77cTSt5W09QaxJxj3gf8HA80RmHNgM+CAJcLLNIl6E9dGP+aGbtim4Ouk7COr4uaN3oxqc86u5yuAsE+PniWSZNURsn0jWOFfHsiYk1rxIoWL1aLNX5dSmLEAzZ85Eq1at8OzZM7i4lHWWHTJkCA4dOiToWJs3b8asWbPw4Ycf4tKlS+jQoQP69OmDxMREzvnHjx9Hjx49sGfPHly4cAFdunTBgAEDcOnSJdY8T09PpKSksF7Ozs5C/1Wrk6+lALk4YhCiSgms7qG1QgQM/wVw9rSaSITto3vBtNP7gsXhCnwWi0WcFjUPZykuftQDlz7qiS6R/pUgXdWkZ6MarMwtXdei0Gw77WrS9lrvyqZigE6ePIlTp07ByYkdjxIaGork5GRBx1q0aBEmT56MV155BQCwZMkS7Nu3D99//z0WLFigN183y+yLL77Arl278Oeff6J58+aa9SKRCDVqcD+lVBVUKjWOlfh2AcDZEd1fZ1cCeRll45G/Aj7h1pOHqBLoltLXTYsn+MH10CURc1spOkb4QSQSOeaDmgAkYhFGtw3B2tMJAJgMO21UAhUgbReYvdYHkthSHSCVSgWlUr+A08OHD+Hh4cH7OEVFRbhw4QJ69uzJWt+zZ0+cPn2atyzZ2dnw8fFhrc/JyUFoaChq1aqF/v3761mIdCksLERWVhbrZW22XkjCquP3NWNnmf35do2S9C9w4JOycYe3gQYDrCcPUWXQjRmwz9uC5eGyAEkMKJNqUJ0gvmi/r7ouMKEVt88/KGuLYeizqepY0gIk+K7ao0cPliVGJBIhJycHn3zyCfr27cv7OOnp6VAqlQgIYHekDQgIQGpqKq9jLFy4ELm5uRgxoqwhZmRkJNauXYs//vgDGzduhLOzM9q3b487d+4YPM6CBQvg5eWleQUHB/P+PyzF+9uussYO9WT1LAHYMBxQlQSBNxnBVHsmCB7oVo610/uCxeGKATLkAiP44yYve1/zdCxAphacFImYz8YesaRrT7ACtHjxYhw7dgwNGzZEQUEBRo8ejbCwMCQnJ+PLL78ULICueVqtVvMyWW/cuBFz587F5s2b4e9f5nOOjo7G2LFj0axZM3To0AFbtmxBvXr18O233xo8VmxsLJ4/f655JSUlCf4/LI3DuMCUxcCO14H8kiebgMbAoOXWlYmoUuhbgOzzxmBpdF2JgGErA73H/DFqATJRAbK3Qt0rx7aEn4ccUzvVgbPMcvc+wTFAQUFBiIuLw8aNG3Hx4kWoVCpMnjwZY8aMYQVFl4evry8kEometSctLU3PKqTL5s2bMXnyZGzduhXdu3c3OlcsFqN169ZGLUByuRxyuZy37NbA2REsQCoVsOsNILHEBeoVAozbAUht+7MhbAs9BYjuzSbBlX5sr1aGysRNy7KWp5MGr1v81lHp3bgGejUKsHj8nkmFEF1cXDBp0iRMmjTJ5BM7OTmhZcuWOHDgAIYMGaJZf+DAAQwaNMjgfhs3bsSkSZOwceNG9OvXr9zzqNVqxMXFoUmTJibLags4O0Il1n3/B1zZxCxL5MCLPwLulFFCCMOSzRMdCS4FyF7jTCqT0h5rAJBbqGsBqmxpbJfKSF4wSQG6desWvv32W9y4cQMikQiRkZF44403EBkZWf7OWsyePRvjxo1Dq1atEBMTgx9++AGJiYmYOnUqAMY1lZycjHXr1gFglJ/x48dj6dKliI6O1liPXFxcNB3qP/30U0RHRyMiIgJZWVlYtmwZ4uLi8N1335nyr9oMdh8DtOsN4NKvZeP+i4CQaOvJQ1RZZGKyAJkDThcYWYAqjDELkJI0oEpFsFnh999/R+PGjXHhwgU0a9YMTZs2xcWLF9GkSRNs3bpV0LFGjhyJJUuWYN68eYiKisLx48exZ88ehIaGAgBSUlJYNYFWrVoFhUKB6dOnIzAwUPOaOXOmZk5mZiZeffVVNGjQAD179kRycjKOHz+ONm3aCP1XrYqLjt/Tkn5QqxN/nK38dHofaD7WevIQVRr9IGi6aZsCucAsg3YM0KIDt3Et+blmbGoMEGEagi1A7733HmJjYzFv3jzW+k8++QTvv/8+hg8fLuh406ZNw7Rp0zi3rV27ljU+evRoucdbvHgxFi9eLEgGW0T3ScBug6CTLwDrdb4zbV61jiyEXaCbNkv3bNPgdoGRRa2iaGeBAcCoH/7BtU97ASAFqLIRbAFKTU3l7Po+duxY3unrhHHUajWKlOyCEHYZ15CVAmx9GVCUtCkRiYHZNwE3X+vKRVRpdC0+lKFkGoZcYHSPrhi69ZVytOKAyAVWuQhWgDp37szZr+vkyZPo0KGDWYRydE7eTWeNo4K9UT+Af5HJKkFhDrBhBJD5gBm7VAPeuQt4BlpXLsLuIIuFaXC6wOjNrDC6FiBthBZCJCqGYBfYwIED8f777+PChQuIjmaCVP/55x9s3boVn376Kf744w/WXEI4r/92kTXe/no7+/K9F2YDG18CUq8wY68Q4OU9gFt168pF2CV29MupVDhdYFQIscJwVdguhVxglYtgBag0XmfFihVYsWIF5zaAMUNztcwgyidHJzXSrpQfAPh9EpBQYkWUewFjtgLe1q++TdgpdvbzqSy43O7OMgkKFXRdrwhyI/GcplaCJkzDpF5gfF6k/JhOs2BvzfInAxpaTxBL8O9PwJ39ZeORvwL+wsonEIQQKAbINJw4LECezlKMah2iP5neYt5wxVZl5hUBYOI/icrDAarrVT200yKHtqhlRUnMzOVNwO63y8YDlgK1O1lPHsIhIJeNaXC5wDxdZOgQ4Ytvhjdjb6D7Nm+4yjL0W3YSCqUKSooBqlR4K0Bnz57F33//zVq3bt06hIeHw9/fH6+++ioKCwvNLqCjkZyZz8oE8DASMFel+PcnYKdWuYP2s4AWE6wmDuE4kP5jGlwuMA9nKUQiEYa1rIUans5WkMo+Sc7Mx83UbINZYEtGRnFa5IiKwfsdnTt3Lq5cuaIZX716FZMnT0b37t3xwQcf4M8//8SCBQssIqQjcfjGY9bYLuJ/7h1mLD/qErdo6ylA97n0aE5UClQI0TS4XWAyzbKazD5mRSoRGQyCFotFEJP+Y3Z4v6VxcXHo1q2bZrxp0ya0bdsWP/74I2bPno1ly5Zhy5YtFhHSkVDYWx2I2/uZjK9Smo0G+nxFyg9RadjDM4Q14HKBeWgpQCzoPa4wYpFhBUgqFlEfNgvAWwF69uwZq0v7sWPH0Lt3b824devWSEpKMq90DkhWflkG2NJRUdYTxBxkpTAZX6WFDuv2AAZ+C3qUISoTCoI2DS4XmKeLAZe8nT23WYNipcpgM1SJWGQf3gAbg/edKCAgAPHx8QCAoqIiXLx4ETExMZrt2dnZkMkMPB0QvMkrKlOAqrSP/VkCsLonUJTNjOv3A0ZtACR2EtNEVBnIVWMaXC4wLxe6xluKzLxi/BH3iHObVCyiRrQWgPfdqHfv3vjggw/w5ZdfYufOnXB1dWVVfr5y5Qrq1KljESEdiVwtBchYxVCb5lEcsH4YkPuEGXvWAgYuA6ROVhWLcEyKlaQAmYKuC6yuvzsaBXlxT6Z7c4V5d+tlPHpewLlNTC4wi8D7DvvZZ59h6NCh6NSpE9zd3fHLL7/AyanshrZmzRr07NnTIkI6ErmFZfWTqqQClHQOWDcIKM5jxh6BwMS/qL8XYTWcpORyNQVdF9iW12LICmFBDCk/AGMBKlRQjry54X2H9fPzw4kTJ/D8+XO4u7tDImFXs9y6dSvc3d3NLqCjkatVBdrNSMl0m+TJbWDTmDLlx6c2MHY74BNuXbkIh2PDK23x0a5r6N80iNw2JqJrAfJxY1twtS0SpBZZlv9v787DorjSf4F/q5sdEWRtWVTABRVEhdFAooAaJGqiiYmoBDXJJD/uzRjUidEJ5rrFJfP4cDPJqERjJBNFnYzr5OKCDriEVgzbGOMuBhcQiQiIytbn/kEsaVkUgW6gv5/n4UnXqVOnTr2o/ebUqVNKhVTnDQHUfE0eYrC2rn8I1NbWttmdIaDo9xVBAcCiPY0A5R4HvnsNqCyr2XYbCkz9J2Buo9dukWEK7GmPQ38O1nc32rUnrTvztymD8EacGpIEzAvjau6tyYgPjrSKdvQN2/FdKSzDyStF8ra5cTsZAbr2E/CPCUDV/ZptW09gylYmP0TtmEIhYfao3th2Mhf/5+X+dfb/oYctfpj5AsxNlHCztdBDDw3Hk9ZAjB7ZSzcd6WCYALUhc/+VrbXdLu63n/wa2PcxUP37KuB2vYAZ/w+w4IggUXsXPaoXokc1/OXq7dLApGhqUcpGRoC+fXsInve002FvOg4mQG1I7dGfduH4WmDf/Efb3QKBqVsBM/6jSETUUhp7Aiyot4MOe9KxMAGipquqAA4sANK+elTmPrzmtpeJpf76RUTUAdW3KCU1HxMgapqqcmDHu8Avux+VDXoTGPc5oOTTNkRELa2+15IAQFh/lY570rEwAWojNI+tgb7qDV899aQeGg1wIAbI3ASUl9TaIQGjlwEB7+uta0REHZ1xAyNAn70+QMc96Vj4bF0bcaHgrvzZxcYcEwe76LE3teSeAJbaA8fX1E1+Xt/A5IeIqJUZKRV45wXt9dRe8eUaV83FBKiNOH75N/nz+IHOkNrCsufJK4BvQgFRrV1ubFEz38d7on76RURkQIwVEmLG9NUqq27gzfH09HgLrI3IKSyTP7/QS4+vjRACOJdYc7vrXKL2voERQPdAwCMYsHbVS/eIiAyNsVIBhUKCs7WZ/MqMx6dNUNMxAWojLtdKgHo5WumvIykrgMOf1S2fvAXwGqP7/hARGbiHT4Epaq0NV8UEqNmYALURF2+WAgCszIxg30kPb00XAtj7EZC27lGZsQXwhz8CoxYDXIqdiEgvHj4FVntxXI4ANR8ToDbgWtE9eVjT06GT7uf/VN6vebT9zL8flQ37EAj+C6DkHxEiIn0y+j3xqb0gIucANR+/3dqArKt35M/eLp11d+Jb54CjscCl/wBlBY/KA/4EjFgAtIWJ2EREHYy1uTGK71c+df2HIz+1b4FVcwSo2Xhfow0ouvfoL8IAVxvdnDTnCLDhReC/Wx8lP8aWwGvra9b2YfJDRNQqvn17CKzNjTHA1fqp1nx7eFfAqPYtMI4ANRtHgNqA4nsV8ucuFjqY/3M5BUgIB6oePCrzCAFe+ivg0Lv1z09EZMAGutkgLWYkTJQKSJKE1EuF2JFx/YnHKWr9j2lVNROg5mIC1AbUHgHqYtGKC1sVnAWO/BU4vevR2j6ufwCmbAMs+TZhIiJdMTVSyp8lPN2Iu5IjQC2KCVAbcKdWAmTTGgnQ3VvAocVA5nfa5R7BQPhmwLRTy5+TiIieSu0ZB1ZmRhjj3RXbfrpap17t7wdLU359NxfnALUBd2rdArNpyVtg94uAw38F/u6vnfxICiAkBojYzuSHiEjPtMZ/RMNvf/90gjdMlAqYKBVY9HJ/nfStI2MK2QYUlj1KgFrs3S5XTwLfTwdKHruv3PslYMIawMK2Zc5DRETNEtjTDt+nXwMAjB/kDKMG1l3rbmeJ4x+PhBACdp1MddnFDokJkJ7dLHmA7N8fg3exMZcXvHommuqa11ccjwN+PfaoXFIAPpOA0E+BTg7N6zAREbWo8b4u+Pl6CYrKKvBRmBe+PHShwbq2lnpYKLeDYgKkZ2uSL8qf+6ie8RUY94uAjO+AtPVAca72PufBwOvfALbu9R9LRER6pVBI+GRcP3nbxIizU3SBCZAeCSGwO/uGvD0jsEfTGrh1DjgRB2RvBSrvae+z6wUM/R9gUCRgbNb8zhIRkU7YWvL2li4wAdKjmyXl8hNgz/e0w/DeT3F7SqMBLiYBx9cCl5Pr7u/5IvBcFOAxgu/vIiJqh/TyPkgDxARIj37JK5Y/e6me8AqMByVAVgKQ9hVw+7L2PpNOwMCpwJD/Aex7tkJPiYhIVzjPRzeYAOmJEAJLfzgjb/d0bOBx9N8u1byhPXMzUFGqva9Lj5qkZ1AEYGbdep0lIiKdabGngalRer9HsmbNGri7u8PMzAx+fn44evRoo/UPHz4MPz8/mJmZwcPDA3FxcXXqbN++Hf369YOpqSn69euHnTt3tlb3n9m5m6XIKSyTt4Nq3/4SouYFpQnhwJd+NfN8aic/7kHAlK3AzAwg4H8z+SEi6kD4iLtu6DUB2rZtG2bNmoWYmBhkZmZi2LBheOmll5Cbm1tv/ZycHIwZMwbDhg1DZmYmPv74Y3zwwQfYvn27XEetViM8PByRkZHIzs5GZGQkJk2ahBMnTujqsp7Kqv3n5c/jBzrD2cYcqCgDTm4A1jwHfPcqcH4fgN+XOzcyB/xmAP9LDUzfA/R5CVAo622biIjaLxcbc4z0coRSIeGvrw/Qd3c6LEkI/b1QZOjQoRg8eDDWrl0rl/Xt2xcTJkzAihUr6tSfN28e9uzZgzNnHt06ioqKQnZ2NtRqNQAgPDwcJSUl2Lt3r1wnLCwMXbp0wZYtW56qXyUlJbC2tkZxcTE6d37C3JxaNhzLQXlVNTQagWoNUC0ENBoBjRDyZ+eSbFgWpONaQRHMpApYKSsx0ccWFuI+cOkQ8KBYu9HOrsCQd4HB07h4IRGRgRBCoLS8Cp3NeDusKZry/a23OUAVFRVIT0/H/PnztcpDQ0ORmppa7zFqtRqhoaFaZaNHj8aGDRtQWVkJY2NjqNVqzJ49u06dzz//vMG+lJeXo7y8XN4uKSlp4tXUiD1wDmUV1Y3WmWO0D28Z7QJq/5n+uZ6K3QJrnubqMxZQcqoWEZEhkSSJyU8r09s3a2FhIaqrq+Hk5KRV7uTkhPz8/HqPyc/Pr7d+VVUVCgsL0bVr1wbrNNQmAKxYsQKLFy9+xit5RKF48ht9H4hGZvcrTQCfN2rW7+nq2+z+EBERUf30PrQgSdpJgxCiTtmT6j9e3tQ2//KXv2DOnDnydklJCdzc3J7c+cf830kDUS0ElJIEpUKCQiFBKUlQKPD7fyVYFDviaulIONvbQGlqCRib//5jAXRyBEwsm3xeIiIiahq9JUD29vZQKpV1RmYKCgrqjOA8pFKp6q1vZGQEOzu7Rus01CYAmJqawtS0+bPuR/Vr+ByP2AL4Q7PPRURERM9Ob0+BmZiYwM/PD0lJSVrlSUlJCAwMrPeYgICAOvUPHDgAf39/GBsbN1qnoTaJiIjI8Oj1FticOXMQGRkJf39/BAQEYN26dcjNzUVUVBSAmltT169fxz/+8Q8ANU98/f3vf8ecOXPw7rvvQq1WY8OGDVpPd0VHR2P48OH47LPPMH78eOzevRsHDx7EsWPH6u0DERERGR69JkDh4eH47bffsGTJEuTl5cHb2xuJiYno3r07ACAvL09rTSB3d3ckJiZi9uzZWL16NZydnfHFF19g4sSJcp3AwEBs3boVCxYswCeffAJPT09s27YNQ4cO1fn1ERERUduk13WA2qpnXQeIiIiI9Kcp3996fxUGERERka4xASIiIiKDwwSIiIiIDA4TICIiIjI4TICIiIjI4DABIiIiIoPDBIiIiIgMDhMgIiIiMjhMgIiIiMjg6PVVGG3Vw8WxS0pK9NwTIiIieloPv7ef5iUXTIDqUVpaCgBwc3PTc0+IiIioqUpLS2Ftbd1oHb4LrB4ajQY3btyAlZUVJEnSd3falJKSEri5ueHq1at8T5qOMfb6wbjrD2OvH+057kIIlJaWwtnZGQpF47N8OAJUD4VCAVdXV313o03r3Llzu/uL0VEw9vrBuOsPY68f7TXuTxr5eYiToImIiMjgMAEiIiIig8MEiJrE1NQUCxcuhKmpqb67YnAYe/1g3PWHsdcPQ4k7J0ETERGRweEIEBERERkcJkBERERkcJgAERERkcFhAkREREQGhwkQ1bFixQpIkoRZs2bJZUIILFq0CM7OzjA3N0dwcDBOnz6tdVx5eTlmzpwJe3t7WFpa4pVXXsG1a9d03Pv25fr163jzzTdhZ2cHCwsLDBw4EOnp6fJ+xr11VFVVYcGCBXB3d4e5uTk8PDywZMkSaDQauQ5j33xHjhzByy+/DGdnZ0iShF27dmntb6kYFxUVITIyEtbW1rC2tkZkZCTu3LnTylfXtjUW+8rKSsybNw8+Pj6wtLSEs7Mzpk2bhhs3bmi10eFjL4hqSUtLEz169BADBgwQ0dHRcvnKlSuFlZWV2L59uzh16pQIDw8XXbt2FSUlJXKdqKgo4eLiIpKSkkRGRoYICQkRvr6+oqqqSg9X0vbdvn1bdO/eXcyYMUOcOHFC5OTkiIMHD4qLFy/KdRj31vHpp58KOzs78cMPP4icnBzx/fffi06dOonPP/9crsPYN19iYqKIiYkR27dvFwDEzp07tfa3VIzDwsKEt7e3SE1NFampqcLb21uMGzdOV5fZJjUW+zt37ohRo0aJbdu2ibNnzwq1Wi2GDh0q/Pz8tNro6LFnAkSy0tJS0atXL5GUlCSCgoLkBEij0QiVSiVWrlwp133w4IGwtrYWcXFxQoiav1DGxsZi69atcp3r168LhUIh9u3bp9PraC/mzZsnXnjhhQb3M+6tZ+zYseLtt9/WKnvttdfEm2++KYRg7FvD41/CLRXjX375RQAQx48fl+uo1WoBQJw9e7aVr6p9qC/5fFxaWpoAIH799VchhGHEnrfASPb+++9j7NixGDVqlFZ5Tk4O8vPzERoaKpeZmpoiKCgIqampAID09HRUVlZq1XF2doa3t7dch7Tt2bMH/v7+eOONN+Do6IhBgwZh/fr18n7GvfW88MILOHToEM6fPw8AyM7OxrFjxzBmzBgAjL0utFSM1Wo1rK2tMXToULnOc889B2tra/4emqC4uBiSJMHGxgaAYcSeL0MlAMDWrVuRkZGBkydP1tmXn58PAHByctIqd3Jywq+//irXMTExQZcuXerUeXg8abt8+TLWrl2LOXPm4OOPP0ZaWho++OADmJqaYtq0aYx7K5o3bx6Ki4vh5eUFpVKJ6upqLFu2DFOmTAHAP/O60FIxzs/Ph6OjY532HR0d+Xt4Sg8ePMD8+fMxdepU+eWnhhB7JkCEq1evIjo6GgcOHICZmVmD9SRJ0toWQtQpe9zT1DFUGo0G/v7+WL58OQBg0KBBOH36NNauXYtp06bJ9Rj3lrdt2zZs2rQJCQkJ6N+/P7KysjBr1iw4Oztj+vTpcj3GvvW1RIzrq8/fw9OprKzE5MmTodFosGbNmifW70ix5y0wQnp6OgoKCuDn5wcjIyMYGRnh8OHD+OKLL2BkZCT/H9rjGX1BQYG8T6VSoaKiAkVFRQ3WIW1du3ZFv379tMr69u2L3NxcADUxBRj31jB37lzMnz8fkydPho+PDyIjIzF79mysWLECAGOvCy0VY5VKhZs3b9Zp/9atW/w9PEFlZSUmTZqEnJwcJCUlyaM/gGHEngkQYeTIkTh16hSysrLkH39/f0RERCArKwseHh5QqVRISkqSj6moqMDhw4cRGBgIAPDz84OxsbFWnby8PPz8889yHdL2/PPP49y5c1pl58+fR/fu3QEA7u7ujHsruXfvHhQK7X/+lEql/Bg8Y9/6WirGAQEBKC4uRlpamlznxIkTKC4u5u+hEQ+TnwsXLuDgwYOws7PT2m8QsdfT5Gtq42o/BSZEzeOq1tbWYseOHeLUqVNiypQp9T6u6urqKg4ePCgyMjLEiBEj+EhwI9LS0oSRkZFYtmyZuHDhgti8ebOwsLAQmzZtkusw7q1j+vTpwsXFRX4MfseOHcLe3l589NFHch3GvvlKS0tFZmamyMzMFABEbGysyMzMlJ80aqkYh4WFiQEDBgi1Wi3UarXw8fFpN49it5bGYl9ZWSleeeUV4erqKrKyskReXp78U15eLrfR0WPPBIjq9XgCpNFoxMKFC4VKpRKmpqZi+PDh4tSpU1rH3L9/X/zpT38Stra2wtzcXIwbN07k5ubquOfty7///W/h7e0tTE1NhZeXl1i3bp3Wfsa9dZSUlIjo6GjRrVs3YWZmJjw8PERMTIzWP/6MffMlJycLAHV+pk+fLoRouRj/9ttvIiIiQlhZWQkrKysREREhioqKdHSVbVNjsc/Jyal3HwCRnJwst9HRYy8JIYSuR52IiIiI9IlzgIiIiMjgMAEiIiIig8MEiIiIiAwOEyAiIiIyOEyAiIiIyOAwASIiIiKDwwSIiIiIDA4TICIiIjI4TICIqE1btGgRBg4cqO9uyCRJwq5du5p83Llz56BSqVBaWtrynaqloKAADg4OuH79equeh6i9YwJERIiLi4OVlRWqqqrksrt378LY2BjDhg3Tqnv06FFIkoTz58/rups61dKJV0xMDN5//31YWVm1WJv1cXR0RGRkJBYuXNiq5yFq75gAERFCQkJw9+5d/PTTT3LZ0aNHoVKpcPLkSdy7d08uT0lJgbOzM3r37q2PrrZL165dw549e/DWW2/p5HxvvfUWNm/ejKKiIp2cj6g9YgJEROjTpw+cnZ2RkpIil6WkpGD8+PHw9PREamqqVnlISAgAYNOmTfD394eVlRVUKhWmTp2KgoICAIBGo4Grqyvi4uK0zpWRkQFJknD58mUAQHFxMd577z04Ojqic+fOGDFiBLKzsxvt78aNG9G3b1+YmZnBy8sLa9askfdduXIFkiRhx44dCAkJgYWFBXx9faFWq7XaWL9+Pdzc3GBhYYFXX30VsbGxsLGxAQDEx8dj8eLFyM7OhiRJkCQJ8fHx8rGFhYV49dVXYWFhgV69emHPnj2N9vef//wnfH194erqKpfFx8fDxsYG+/fvR9++fdGpUyeEhYUhLy9PrjNjxgxMmDABy5cvh5OTE2xsbLB48WJUVVVh7ty5sLW1haurK7755hut8/n4+EClUmHnzp2N9ovIkDEBIiIAQHBwMJKTk+Xt5ORkBAcHIygoSC6vqKiAWq2WE6CKigosXboU2dnZ2LVrF3JycjBjxgwAgEKhwOTJk7F582at8yQkJCAgIAAeHh4QQmDs2LHIz89HYmIi0tPTMXjwYIwcORK3b9+ut5/r169HTEwMli1bhjNnzmD58uX45JNP8O2332rVi4mJwYcffoisrCz07t0bU6ZMkW/x/fjjj4iKikJ0dDSysrLw4osvYtmyZfKx4eHh+POf/4z+/fsjLy8PeXl5CA8Pl/cvXrwYkyZNwn//+1+MGTMGERERDfYXAI4cOQJ/f/865ffu3cOqVavw3Xff4ciRI8jNzcWHH36oVec///kPbty4gSNHjiA2NhaLFi3CuHHj0KVLF5w4cQJRUVGIiorC1atXtY4bMmQIjh492mCfiAyent9GT0RtxLp164SlpaWorKwUJSUlwsjISNy8eVNs3bpVBAYGCiGEOHz4sAAgLl26VG8baWlpAoAoLS0VQgiRkZEhJEkSV65cEUIIUV1dLVxcXMTq1auFEEIcOnRIdO7cWTx48ECrHU9PT/HVV18JIYRYuHCh8PX1lfe5ubmJhIQErfpLly4VAQEBQgghcnJyBADx9ddfy/tPnz4tAIgzZ84IIYQIDw8XY8eO1WojIiJCWFtby9uPn/chAGLBggXy9t27d4UkSWLv3r31xkQIIXx9fcWSJUu0yjZu3CgAiIsXL8plq1evFk5OTvL29OnTRffu3UV1dbVc1qdPHzFs2DB5u6qqSlhaWootW7ZotT979mwRHBzcYJ+IDB1HgIgIQM08oLKyMpw8eRJHjx5F79694ejoiKCgIJw8eRJlZWVISUlBt27d4OHhAQDIzMzE+PHj0b17d1hZWSE4OBgAkJubCwAYNGgQvLy8sGXLFgDA4cOHUVBQgEmTJgEA0tPTcffuXdjZ2aFTp07yT05ODi5dulSnj7du3cLVq1fxzjvvaNX/9NNP69QfMGCA/Llr164AIN+eO3fuHIYMGaJV//HtxtRu29LSElZWVnLb9bl//z7MzMzqlFtYWMDT01Orn4+3079/fygUj/6pdnJygo+Pj7ytVCphZ2dX5zhzc3OtuVtEpM1I3x0gorahZ8+ecHV1RXJyMoqKihAUFAQAUKlUcHd3x48//ojk5GSMGDECAFBWVobQ0FCEhoZi06ZNcHBwQG5uLkaPHo2Kigq53YiICCQkJGD+/PlISEjA6NGjYW9vD6BmnlDXrl215h499HA+Tm0ajQZAzW2woUOHau1TKpVa28bGxvJnSZK0jhdCyGUPCSGeGKP62n7Y/sO262Nvb1/vhOT62nm8H/XVeZrz3759Gw4ODg1fBJGBYwJERLKQkBCkpKSgqKgIc+fOlcuDgoKwf/9+HD9+XH6S6ezZsygsLMTKlSvh5uYGAFpPkT00depULFiwAOnp6fjXv/6FtWvXyvsGDx6M/Px8GBkZoUePHk/sn5OTE1xcXHD58mVEREQ883V6eXkhLS1Nq+zxvpuYmKC6uvqZz1HboEGD8Msvv7RIW0/r559/lkfkiKgu3gIjIllISAiOHTuGrKwseQQIqEmA1q9fjwcPHsgToLt16wYTExN8+eWXuHz5Mvbs2YOlS5fWadPd3R2BgYF45513UFVVhfHjx8v7Ro0ahYCAAEyYMAH79+/HlStXkJqaigULFtSbTAE16/OsWLECf/vb33D+/HmcOnUKGzduRGxs7FNf58yZM5GYmIjY2FhcuHABX331Ffbu3as1KtSjRw/k5OQgKysLhYWFKC8vf+r2Hzd69Gio1eoWS6ie5N69e0hPT0doaKhOzkfUHjEBIiJZSEgI7t+/j549e8LJyUkuDwoKQmlpKTw9PeXRHgcHB8THx+P7779Hv379sHLlSqxatarediMiIpCdnY3XXnsN5ubmcrkkSUhMTMTw4cPx9ttvo3fv3pg8eTKuXLmidf7a/vjHP+Lrr79GfHw8fHx8EBQUhPj4eLi7uz/1dT7//POIi4tDbGwsfH19sW/fPsyePVtrns7EiRMRFhaGkJAQODg4yPOYnsWYMWNgbGyMgwcPPnMbTbF7925069atziKWRPSIJJpy45uIqIN69913cfbs2VZ7dHzNmjXYvXs39u/f3yrt1zZkyBDMmjULU6dObfVzEbVXnANERAZp1apVePHFF2FpaYm9e/fi22+/1VpQsaW99957KCoqQmlpaau+DqOgoACvv/46pkyZ0mrnIOoIOAJERAZp0qRJSElJQWlpKTw8PDBz5kxERUXpu1tEpCNMgIiIiMjgcBI0ERERGRwmQERERGRwmAARERGRwWECRERERAaHCRAREREZHCZAREREZHCYABEREZHBYQJEREREBuf/AzmMBvxXXS4LAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(reference['AM1.5G'], \n", " linewidth=2, label='AM1.5G')\n", "plt.plot(quartz_w['W halogen lamp (W*m-2*nm-1)'], \n", " linewidth=2, label='Quartz W lamp')\n", "plt.ylabel('Spectral distribution (Etr W*m-2*nm-1)')\n", "plt.xlabel('Wavelength (nm)')\n", "plt.xlim([250,1300])\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We define the relevant constants and retrieve the QE of the GaInP solar cell (device under test), and the callibrated Silicon solar cell (reference cell)." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "h=6.63*10**(-34) # [J·s] Planck constant\n", "e=1.60*10**(-19) # [C] electron charge\n", "c =299792458 #[m/s] Light speed" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "QE_dut = pd.read_csv('data/QE_GaInP.csv', index_col=0, header=0) \n", "QE_cal= pd.read_csv('data/QE_calibrated_cell.csv', index_col=0, header=0) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We calculate the Spectral Response (SR) of both cells and plot them. " ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "SR_dut=pd.Series(index=QE_dut.index,\n", " data=[QE_dut.loc[i,'QE']*e*i*0.000000001/(h*c) for i in QE_dut.index])\n", "SR_cal=pd.Series(index=QE_cal.index,\n", " data=[QE_cal.loc[i,'QE']*e*i*0.000000001/(h*c) for i in QE_cal.index])\n", "plt.plot(SR_dut, \n", " linewidth=2,\n", " label='DUT')\n", "plt.plot(SR_cal, \n", " linewidth=2,\n", " label='reference')\n", "plt.legend()\n", "plt.ylabel('Spectral response, $SR$')\n", "plt.xlabel(r'Wavelength, $\\lambda$ (nm)');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For every spectra and solar cell, we interpolate the spectrum at those datapoints included in the SR, and integrate to obtain the short-circuit current density using Eq. 3.5.\n", "\n", "$J_{L, spectrum, cell}=\\int SR(\\lambda) \\cdot G(\\lambda) \\ d\\lambda$\n" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "spectra=quartz_w['W halogen lamp (W*m-2*nm-1)']\n", "spectra_interpolated=np.interp(SR_dut.index, spectra.index, spectra.values)\n", "J_sim_dut = np.trapz([x*y for x,y in zip(SR_dut, spectra_interpolated)], x=SR_dut.index)*1000/10000 # A-> mA ; m2 -> cm2\n", "spectra_interpolated=np.interp(SR_cal.index, spectra.index, spectra.values)\n", "J_sim_cal = np.trapz([x*y for x,y in zip(SR_cal, spectra_interpolated)], x=SR_cal.index)*1000/10000 # A-> mA ; m2 -> cm2\n", "\n", "spectra=reference['AM1.5G']\n", "spectra_interpolated=np.interp(SR_dut.index, spectra.index, spectra.values)\n", "J_ref_dut =np.trapz([x*y for x,y in zip(SR_dut, spectra_interpolated)], x=SR_dut.index)*1000/10000 # A-> mA ; m2 -> cm2\n", "\n", "spectra_interpolated=np.interp(SR_cal.index, spectra.index, spectra.values)\n", "J_ref_cal =np.trapz([x*y for x,y in zip(SR_cal, spectra_interpolated)], x=SR_cal.index)*1000/10000 # A-> mA ; m2 -> cm2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We calculate the Spectral Mismatch Factor $M_f$ using Eq. 12.2\n", "\n", "$M_f=\\frac{J_{L, sim, dut}}{J_{L, ref, dut}}\\frac{J_{L, ref, cal}}{J_{L, sim, cal}}$\n" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Spectral Mismatch Factor = 0.45\n" ] } ], "source": [ "M_f=J_sim_dut/J_ref_dut*J_ref_cal/J_sim_cal\n", "print('Spectral Mismatch Factor = ' + str(M_f.round(3)))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.12" } }, "nbformat": 4, "nbformat_minor": 4 }