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g2c_curves • Show schema
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{'Lhash': '1485418068864728500', 'abs_disc': 20736, 'analytic_rank': 0, 'analytic_rank_proved': True, 'analytic_sha': 1, 'aut_grp_id': '[6,2]', 'aut_grp_label': '6.2', 'aut_grp_tex': 'C_6', 'bad_lfactors': '[[2,[1]],[3,[1,0,3]]]', 'bad_primes': [2, 3], 'class': '1296.a', 'cond': 1296, 'disc_sign': 1, 'end_alg': 'CM', 'eqn': '[[0,-1,4,-3,-1,1],[]]', 'g2_inv': "['4455516','160381/2','-18083/36']", 'geom_aut_grp_id': '[12,4]', 'geom_aut_grp_label': '12.4', 'geom_aut_grp_tex': 'D_6', 'geom_end_alg': 'M_2(Q)', 'globally_solvable': 1, 'has_square_sha': True, 'hasse_weil_proved': True, 'igusa_clebsch_inv': "['78','216','4806','81']", 'igusa_inv': "['156','438','-428','-64653','20736']", 'is_gl2_type': True, 'is_simple_base': True, 'is_simple_geom': False, 'label': '1296.a.20736.1', 'leading_coeff': {'__RealLiteral__': 0, 'data': '0.4840633851843496005945263988448813295130630242244715723', 'prec': 190}, 'locally_solvable': True, 'modell_images': ['2.240.1', '3.1920.3'], 'mw_rank': 0, 'mw_rank_proved': True, 'non_solvable_places': [], 'num_rat_pts': 3, 'num_rat_wpts': 3, 'real_geom_end_alg': 'M_2(R)', 'real_period': {'__RealLiteral__': 0, 'data': '23.235042488848780828537267145', 'prec': 100}, 'regulator': {'__RealLiteral__': 0, 'data': '1.0', 'prec': 10}, 'root_number': 1, 'st_group': 'E_3', 'st_label': '1.4.E.3.1a', 'st_label_components': [1, 4, 4, 3, 1, 0], 'tamagawa_product': 3, 'torsion_order': 12, 'torsion_subgroup': '[2,6]', 'two_selmer_rank': 2, 'two_torsion_field': ['3.3.81.1', [-1, -3, 0, 1], [3, 1], True]}
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g2c_endomorphisms • Show schema
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{'factorsQQ_base': [['2.0.3.1', [1, -1, 1], -1]], 'factorsQQ_geom': [['1.1.1.1', [0, 1], 1]], 'factorsRR_base': ['CC'], 'factorsRR_geom': ['M_2(RR)'], 'fod_coeffs': [-1, -3, 0, 1], 'fod_label': '3.3.81.1', 'is_simple_base': True, 'is_simple_geom': False, 'label': '1296.a.20736.1', 'lattice': [[['1.1.1.1', [0, 1], [0, 0, 0]], [['2.0.3.1', [1, -1, 1], -1]], ['CC'], [1, -1], 'E_3'], [['3.3.81.1', [-1, -3, 0, 1], [0, 1, 0]], [['1.1.1.1', [0, 1], 1]], ['M_2(RR)'], [3, 1], 'E_1']], 'ring_base': [1, -1], 'ring_geom': [3, 1], 'spl_facs_coeffs': [[[4725, 567, -1638], [-310689, '-74925/2', 107892]]], 'spl_facs_condnorms': [64], 'spl_facs_labels': ['3.3.81.1-64.1-a7'], 'spl_fod_coeffs': [-1, -3, 0, 1], 'spl_fod_gen': [0, 1, 0], 'spl_fod_label': '3.3.81.1', 'st_group_base': 'E_3', 'st_group_geom': 'E_1'}
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g2c_ratpts • Show schema
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{'label': '1296.a.20736.1', 'mw_gens': [[[[-1, 1], [1, 1]], [[0, 1], [0, 1], [0, 1], [0, 1]]], [[[-1, 1], [-1, 1], [1, 1]], [[1, 1], [-1, 1], [0, 1], [0, 1]]]], 'mw_gens_v': True, 'mw_heights': [], 'mw_invs': [2, 6], 'num_rat_pts': 3, 'rat_pts': [[0, 0, 1], [1, 0, 0], [1, 0, 1]], 'rat_pts_v': True}
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g2c_galrep • Show schema
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id: 379
{'conductor': 1296, 'lmfdb_label': '1296.a.20736.1', 'modell_image': '2.240.1', 'prime': 2}
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id: 380
{'conductor': 1296, 'lmfdb_label': '1296.a.20736.1', 'modell_image': '3.1920.3', 'prime': 3}
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g2c_tamagawa • Show schema
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id: 12749
{'label': '1296.a.20736.1', 'p': 2, 'tamagawa_number': 3}
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id: 12750
{'cluster_label': 'c2c3_2~3_0', 'label': '1296.a.20736.1', 'p': 3, 'tamagawa_number': 1}
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g2c_plots • Show schema
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{'label': '1296.a.20736.1', 'plot': 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KBMCAGjfOwtHGjbZTt3t3qV8/KSHBdWVHJhy2tjQjR0pjxkh//pn/vlatpH/9y0YHS5VyVyOKDgEQiJzbbrNef7VrSz/%2ByK7faEEADJhdu6TevaUXX7T7p51mO32j6QifXbusZc1rr9lURd53eM2aUpcu9gr2mGPc1ojCIQACkTFxonTZZdaNYepU2wSI6EAADJANG6SrrrL2LpKd3fjEE9HdUmXVKguCr71m/37J%2BhNef72tc2zQwGl5OEIEQKD4/fmndMoptlzorruk555zXRGKEgEwIJYssdYpK1fazq1Ro6TLL3ddVeRkZUnvvy%2B98II0a1b%2B4xdfLN17r72qDYXc1YfDQwAEilc4LLVvb31gk5LseZPj3qILB24FwJw51sZl5Urp%2BOOlGTOCFf6k/FG/mTNtBPSqqyzwffKJ1KKFdPbZti4yN9d1pTiY1NRUJSUlKTk52XUpQFQbOdLCX0yM9NZbhL9oxAhglJs1y07QyMiQzjhDmjRJqlLFdVXesGyZTWkMH55/%2Bsgpp0j33299BUuWdFsfDowRQKD4rFxp68O3brVlQvff77oiFAcCYBT78Ueb2tyyxUYAJ02icef%2B/P67TQ2npuYfeVe3rrXE6dSJIOhFBECgeOTk2FFv33xjvzfS0ngOjFZMAUepFSusUeeWLTa9%2BcknhL8DqVpVevJJ63H16KPSUUdZT8Hrr7dNIm%2B/zdQwgGAYONDCX1ycTf0S/qIXI4BRaPNmC32LF1vzzrQ0753o4WWZmXbc0bPPSps22WMNGkiPPWbHzbFZxD1GAIGiN3OmdM45Ngo4YoR0442uK0JxYgQwymRnSx07WvhLTLSRP8Lf4YmPtzUvK1da6KtYUZo/3zaONG0qffGF6woBoGht3Spdd52Fv44dpRtucF0RihsBMMo8%2BKD0%2BedSuXLShAl2ri%2BOTHy8fT1XrJAeeEAqX97OIb7gAnubPdt1hQBQNLp2lZYvl2rVsqPemOmIfgTAKDJxovTUU3Y9fLjt4kLhHXWU9PjjFgS7d7fj5L74QmrSRLr2WnscAPxq9Ghr%2B1KihF0zaxQMBMAosW6ddPPNdt2tm7UxQdGqUsV2Cy9ZYhtEQiHpnXekevWsS/7Gja4rBIDDs3y5nZUuSQ8/LJ17rtt6EDlsAokC4bA1dp440Ub9ZsywxscoXnPn2ikin39u9ytWtNYxKSl8/Ysbm0CAwtu1y1q9zJol/eMf0pQp1vgZwcAIYBQYOdLCX%2BnSNnxP%2BIiMRo2kzz6TJk%2B23dZbtkh33207hj/80II59m/AgAFKTk5WXFycqlSpoiuuuEKLFy92XRYQKPfdZ%2BGvUiX73UH4CxYCoM9t2CD16mXX/ftb%2BEBktWljx%2B29/rpUrZpNqVx9tR0xN3eu6%2Bq8KS0tTSkpKZo%2Bfbo%2B//xzZWdnq02bNtq%2Bfbvr0oBAmDBBGjzYrocPt64RCBamgH3ullukN9%2B0qd/0dNugAHe2bbONOIMG2fFyoZB06612nBJH8B3Yhg0bVKVKFaWlpal58%2BaH/HimgIEjt2aNdPrp1ue0Rw/p%2BeddVwQXGAH0sRkzLPxJtm2f8OdehQrWO3DxYjtGLhy2kcGTTrJX27t3u67QmzIyMiRJlSpV2u/7s7KylJmZuc8bgMO3e7c9N23aZJ0Mnn7adUVwhQDoU%2BGw1LOnXd98s3TWWU7Lwf%2BoVcuOkPvmG6lxYztdpFcvWyv42Weuq/OWcDisXr166dxzz9Upp5yy348ZMGCAEhIS9rwlMl8FHJG%2BfaXvv5cSEqR337W14wgmpoB96j//kdq3t4bPy5ZJ1au7rggHkpNjI7V9%2B9qaTcmOlHvuOalOHaeleUJKSoomTpyob775Rscee%2Bx%2BPyYrK0tZWVl77mdmZioxMZEpYOAwjBtnzz2SbVS78kq39cAtRgB9KCfHTqiQpHvuIfx5XcmStg5w6VIbtS1ZUvroIykpyTbu/PWX6wrd6datm8aPH6%2BpU6ceMPxJUmxsrOLj4/d5A1BwK1ZIN91k13fdRfgDI4C%2BNGqUndNYqZKdV8vvQn%2BZP9%2BadU%2Bdavfr1LEG05df7rauSAqHw%2BrWrZvGjh2radOm6aSTTjqsP88mEKDg/vrL%2Bv398IN09tlSWhprxsEIoO/k5NiOUslG//jd5z8NGkhffmnrb4491kJ827YWAINyrFxKSopGjRqlMWPGKC4uTuvXr9f69ev1V5CHQ4Fi0q2bhb%2Bjj5bee4/wB8MIoM988IF0zTV26sTq1QRAv9u2zXYN5%2B0QLlPG1gree69dR6vQAU6aHz58uG7OO9PwIBgBBArm9del226zc34nT5Zat3ZdEbyCEUCfGTTIblNSCH/RoEIF6xs4b57UsqX1DuzXTzr11OjeLRwOh/f7VpDwB6BgZs2Suna168ceI/xhX4wA%2Bsj06bZ%2Bo3Rpa%2BRZtarrilCUwmGbFu7VS1q3zh5r395GB2vWdFub1zACCBzchg3W52/NGltiMnasjQICefh28JGXXrLba68l/EWjUMgatC5alL9b%2BP33pXr1rFN/drbrCgH4QXa2PZesWWNN6EeOJPzh7/iW8IkNGywMSPlD%2BohO8fE26jdrljX43rbN2jYkJ9vpLwBwMPfdJ02ZIpUvbyN/CQmuK4IXEQB9YuRI2yTQpIm9Ifo1aiR9%2B600bJh01FHS3Lm2BOBf/5I2b3ZdHQAvGjNGevZZu37zTes6AOwPAdAHwmHp3/%2B263/%2B020tiKwSJWwH3%2BLF0o032vfC0KE2LTxmjN0HAEmaM8eazkvWTeCaa9zWA29jE4gPzJpl039lykjr1zOcH2TTptkI4KJFdr91a%2BmVV2ydT5CwCQTY1x9/2OzQ2rXSxRdLEybYOmLgQBgB9IHRo%2B22XTvCX9Cdf75NBT/%2BuBQbK33xhbWMeewxaa%2BjcgEEyK5d0tVXW/g7%2BWSbHSD84VAIgB6Xk2OtQSSpc2e3tcAbYmOlBx6wI%2BXatLHg9/DDtmYwLc11dcUrNTVVSUlJSk5Odl0K4AnhsG0M/OYb20A2bpwdFAAcClPAHvf111Lz5jby98cf1gMQyBMOS%2B%2B8Y7uEf//dHrv5ZumZZ%2BzYp2jFFDBgXnpJ6t7d1gtPmCBdconriuAXjAB63Acf2G27doQ//F0oZH0hFy2SunSx%2B2%2B%2BaZtERoxgkwgQzT77zHqGSnaiEOEPh4MA6GHhsA3nS9KVV7qtBd5WsaI0ZIi1jTn1VGnjRhsJbNnSdhADiC6LFkkdOki5udJNN0l33%2B26IvgNAdDD5s%2BXVq2y3b8XXOC6GvjB2WdLs2dLAwdKZcvaruGGDaX%2B/dkkAkSLjRulyy6TMjKkZs2kV1%2B10X/gcBAAPWzSJLtt0cI6ugMFUaqU1KePvYC46CLbIfjIIxYEp01zXR2Awsjb8bt8uVS7tvThh7YxDDhcBEAPmzzZbi%2B%2B2G0d8Kc6dexFxDvvSNWqSUuW2IuJW26R/vzTdXUADlc4LN1xh%2B32j4uzTR9VqriuCn5FAPSoHTtsW79krT6AIxEKSR07SgsX/n2TyJtvskkE8JOBA%2B3ntkQJ6b33pFNOcV0R/IwA6FHffmtD/ccea409gcLY3yaRW25hkwjgF%2B%2B/L91/v12/%2BKIt7wAKgwDoUXlrtVq0YHEvis6BNok88oi0c6fr6gDsz/ffSzfcYNc9ekgpKW7rQXQgAHrU11/b7Xnnua0D0WfvTSIXX2wjzf37S6edJk2Z4ro6AHtbvlxq29Z28V9%2BufTss64rQrQgAHpQVpY0c6Zdn3uu21oQverUkSZOtLVEeZtEWrWSbrxR2rDBdXUANm2SLr3UNm01bswZvyhaBEAPmjfPQmDlyqz/Q/EKhaT27a2p7J132v233pLq1pXeeMOazAKIvKws6YorbI1urVrSxx9LFSq4rgrRhADoQTNm2G3Tpqz/Q2QkJEipqbbWqFEjafNm6Z//tCUI8%2Be7rg4Iltxc26T19ddSfLyN1Fev7roqRBsCoAelp9vtmWe6rQPB07Spff89%2B6w1H//mGwuEfftaayLXUlNTlZSUpOTkZNelAMXmgQekt9%2BWYmKs0TPtXlAcQuEwncC85pRTbNRlwgQ77gdwYc0aqXv3/POoa9eWXn7Z1iS5lpmZqYSEBGVkZCg%2BPt51OUCRefVV69kpWc%2B/m25yWg6iGCOAHrNzp63HkqTTT3dbC4KtVi3po4/sLTHRzqW%2B7DLpmmukX35xXR0QfSZNym/x8sgjhD8ULwKgx8yfL%2BXk2AaQGjVcVwNI7dpJCxZI99xjOxA/%2BECqX18aPFjKznZdHRAdZs%2BWOnSw5/%2Bbb5Yefth1RYh2BECP%2Bflnuz3lFDaAwDsqVJCeeUaaM8eaSW/bJvXqJTVpIk2f7ro6wN9Wr7bR9e3bpdatpWHDeP5H8SMAeszChXbboIHbOoD9adjQNoYMGyYddZS1LDr7bDugftMm19UB/rNli3TJJdL69XZM4wcfWLN2oLgRAD0mb/1f/fpu6wAOpEQJ6bbbrD9Z3hqlYcOsd%2BCIERLbyoCC2bVLuvpqW2JRo4a1e2FPEyKFAOgxixfbbd26busADuWYY2yXYlqalJRkpxXcfLN0/vn0DgQOJRyWbr/djl%2BsUMHCX2Ki66oQJARAD8nJkVassOsTT3RbC1BQzZtLP/wgDRwolSsnffWV9Q7s08fWNAH4uyeftBHzkiWl99%2B3nxkgkgiAHvLbbzYlEBNjLTgAvyhd2gLfggW2azg7W3r6aVvK8NFHTAsDe3vvPenBB%2B365Zeliy5yWw%2BCiQDoIStX2m2tWhz4DX867jgLfOPH2/XatdKVV0pt2%2BZ/fwNBlp6ev3b2rrvymz4DkUYA9JA1a%2Bz2uOPc1gEU1uWX22hg3762o/Hjj21n%2B4ABNsoNBNFvv9kI%2Bc6ddqLOM8%2B4rghBRgD0kLzTFVgIjGhQrpytc5o3zzaG/PWXdP/9ttYpLc11dUBk7dxpo%2BHr1tmLoTFjmOmBWwRAD/n1V7utWdNtHUBRql/fdjq%2B9ZZUpYr1ujz/fNsxvGGD6%2BqAyOjaVZo50/pnjhtHuxe4RwD0kN9%2Bs1uOgEO0CYWk66%2B3Ppddutj9ESOkevWkf/%2B74JtEUlNTlZSUpOTk5OItGChC//639MYb1kPznXekE05wXREghcJh9ud5xbnnSt9%2BazvE2rd3XQ1QfKZPtyA4b57db95cevVVC4QFkZmZqYSEBGVkZCieoRR42M8/S8nJNgX8%2BOPSAw%2B4rggwMa4LQL686bAqVdzWARS3s86SZs2Snn9e6tfPegeedpq1xujTx9rK4OC2bpVWrbK1w7/9ZkeJbdhgR/JlZNj7d%2Byw4LF7t5Sba38uJsa%2BvmXLWgPihASpUiVr7F29ui1BOe446fjjpbg4p/9E39u5U7r2Wru98ELbFAV4BSOAHlK5sj15//wzZwEjOFatku68U/rkE7t/6qk2ZdakyYH/TFBGAMNh2zQwd649LyxYYKcFLV0qbdxY/H9/9eq2hrNhQ6lxY%2BnMM6WTT7YpfBxa797SoEH2ov6nn3hxD28hAHpEbq61y8jNtVfz1au7rgiInHBYevttqUcPO1KuZEkbCXz4YSk29u8fH60BcMcOacYMWwoyfbqNkv7%2B%2B4E//qijrG9ozZpS1aoWMCpVkipWtNG78uWlMmXsuaVECfs65%2BRIWVm2K3vbNhst3LhR%2BuMPC5u//GKh/EABs3Jl6bzzpNatpYsvlmrXLo6vhP%2Blp9tId26u9cW8/HLXFQH7IgB6REaGPWlL9kugbFm39QAubNggde9uC%2BUlmxYePfrvI%2BLREgBzc6XZs6VPP5W%2B%2BEL6/nubrt1biRK2NvLUU%2B3rUK%2BedNJJNkVbnP/0LVukJUts5HHePKtz9mybztxbo0ZShw62yYcWViY310ZLZ8%2BWOneWRo1yXRHwdwRAj1i71l7JlypFo1zggw9sk8iff9oI1vPPS7ffnj/16OcAmJMjTZtm57%2BOG2dr9/ZWs6ZtCDv7bAsRjRp55wXhrl0WaqZMkSZPtpHKvLWFoZB0ySVSz55Sq1bBniYeOdJO%2B4iPtxBdtarrioC/IwB6xIIF9uq%2BUqXIrO0BvG79eun//i9/beANN9hO4bJl/RkAly6VXnvNRoPWrct/PC7OplMvvNCC0wkn%2BCc8/fmnHf03atS%2Bzb3PPFN66inr9xg02dlS3brSihXSwIG2lAHwIgKgR6Sn25NmYmL%2BkXBA0OXmSs8%2Ba7snc3Kkpk2lCROk2Fj/BMC0NAtDeUFWshd6V19tby1aRMcwdsfOAAAgAElEQVSu56VLpZdekl5/3dYXSjb9%2BeKL9u8Nivfftynxo4%2B2tZTly7uuCNg/GkF7RN4TplemegAvKFHCdlJ%2B/rmFiBkzbFTJDyeI/PSTdMEFVu8nn%2BRPkY4dayOAw4bZqF80hD/J1iW%2B%2BKK0cqXt6i5RwtZvNm5s6wiD4vXX7faOOwh/8DYCoEdkZdltmTJu6wC8qEULW29Wv/oWdVrwkHLrJ9k7zj5bGjIkfyGaB%2BTm2hnIjRvbxo5SpWw949Kl0sSJ0hVXRE/o25%2BqVaXUVNvQcsIJ0pmr39P205spN7aMbVPu3j3/4PMos2WL9OWXdn3zzU5LAQ6JKWCPmDhRuuwy632Wnu66GsCDtmxRVtPmil3ykzIlJUjKkBQvSZ06SWPGOF88l5sr3XKLbQKQLOw995xUp47Tspz56%2B4HVfa5J/7%2Bjho1pG%2B%2BibovzIQJUtu2tgZw0SLX1QAHxwigR2Rn220MZ7MA%2B/fMM4pd8tP%2B3/fOO9KkSZGtZz9eesnCX0yMTQV%2B%2BGHUZZyCW7Ro/%2BFPsman990X2XoiIO9ow6ZN3dYBFARxoxDC4bC2bt1aJJ9r2za7zc2VMjOL5FMCUSMrK0ul3nhjzyvWzP%2B5lWRbbP/xj8gW9j8GDbLbAQPsPO8ienrwp2HDDv7%2BDz%2B0/lcJCZGpJwJWrrTb6tV5HveLuLg4hfyy7b6IMQVcCHmtKAAAgP/4oZNAcSEAFsLBRgAzMzOVmJiotWvXFuiba8IE66R/5pm24/FAkpOTlV4MiwT99HmL43Me7v/X4fDL18DLnzcrK0sx55yjksuWSbKRv0RJa/XfNYCS/QClphay0sLVes450vz5tulj4MB9lyQG7vvgueek/v0P/P64ONsZU8jWB176GvTubQOfvXpJ/foV3ec9FJ4Tj/xzBnkEkCngQgiFQof8wYiPjy/QD09cXN7nPPjxTiVLliyWVyt%2B%2BrzFVatU8P%2Bvw%2BGnr4GnP2%2B3bnZY8F7itVcA7N69SM5GK0ytTz4ptWsnDR1qP8vPPZe/sz9w3wf/%2Bpel4LwWB//r5puL5IgML30NTjrJbtesOfC3op%2B%2BDySeE6MZm0A8Im/zR95mkANJSUkplr/fT5%2B3uGotLn76Gnj686ak6Pdzr97/%2BwYOlJKTC/93qHC1tm0rDR5s10OGSA0b2uh%2BOBzA74OqVbXm8RHapVJ/f99ZZ0lPHGCDyGHy0tfgjDPs9rvv7P%2B8qD7vofCc6L%2BvgRcwBVxMDveoqi%2B%2BsKaxp5xiDWQRWX48WixoPv5Y6nBNri7ImqAe1V5Vq/WfaEOHDjr67rtt7YSHfPKJdOut%2BUe%2BJSdL995rbWGCsNM/N9d2QffqJR27fZEerDRE19SZoamzZ%2Bj8oUNV9uabpdhY12UWuZ07pcqVpR07rGm5x74tDwvPidGPEcBiEhsbq379%2Bim2gE9yeR%2B2c2cxFoUDOtz/L0ROOCw9/7xNrf6VVULhy9up7qwR9r6XX/bkb9mLL7Y%2BcH362BK39HTbFVy7tvTQQ9KSJa4rLD5pabYW8o47pO3bpWNb1dPFS15Q6Ns0zejXTyWiNPxJNt3frp1dv/GG21oKi%2BfE6McIoEfMnm1NoGvWjNom%2BcBhy8yUbr9devddu/9//2fr6/76yz%2BjE3/8Yf0BX3113yPsGje2s4DbtpUaNHDew7pQsrKkjz6yo%2BC%2B%2B84eK19eeuwxW5pZsqTb%2BiIpLc2O/ytTxs4CLoJljkCxIAB6xOLFUr16UsWK0ubNrqsB3Pv%2Be9vYu2KFTZsOGmRhIhTy5/RUXkgaMUL67DMpJyf/fbVq2bnALVtaeKhWzVmZBbZ7t/TVV9J//iO99560aZM9Xrq0TX8/9JD1wwuacNhGQKdPl7p2tfAPeBEB0CN%2B%2B81G/0qWtCdWP48GAIWRlWXdQ556ytaSHXec9PbbduxvHj8GwL39%2Bac0dqwFwi%2B//PtG2RNPtH/vmWfaxoKGDW1EzaWcHOnnn6Wvv5amTLG69252XLOmBb8uXYIZ/PY2ZYrUqpW9cJk710Z4Aa8hAHrEtm35rWC2bpUqVHBbD%2BDCzJk2zTt/vt2//nrp5Zf/fliE3wPg3nbskKZNs41gU6ZIP/749x2koZB0wgkWJOrWlU4%2BWTr%2BeFtTWLOmjboVlexs6ddfpWXLbGZi/nw74mzuXFvTt7djjrEp7I4dbfQySFO9h3LFFdK4cVKzZjZSWoIV9/AYAqBHhMP2JJ6dbT2kEhNdVwREzvbt0sMP22aP3FypShVro3LVVfv/%2BGgKgP9ryxab/p4xwzaPzJkjrV9/4I8PhSyIVatmt5Ur21KSuDgbNYyNlUqVyg8gOTk24vjXX/bCc8sWm7794w/btbxu3b7T03uLi7MOLuefL7VubeuWCTb7t2aNBfZt2%2Bz7%2Bn9aWALOEQCL2O7du/Xggw9q0qRJWrFihRISEtS6dWsNHDhQNWrUOOifrVrVnoTnzpVOOy1CBUOS9OGHH%2BrVV1/V7NmztXHjRv3www9q1KiR67IC4dNPrWfwqlV2v3Nn%2B4V59NEH/jPRHAD35/ffbfp1wQIblVu2zNZGrllz4D7LhVGqlFSnjo00JiVJp55qm1bq1j38Ub6vvvpKzzzzjGbPnq1169Zp7NixuuKKK4q%2BaA8aMkS6804L4bNmWZsvrxswYIA%2B/PBDLVq0SGXLltU555yjp556SnXr1nVdGopYADpSRdaOHTs0Z84cPfTQQzrttNO0efNm9ezZU23bttWsWbMO%2BmePPtoC4J9/RqhY7LF9%2B3Y1a9ZM7du312233ea6nEBYv1666y7pnXfsfq1a9gvzkkvc1uVFVavaW6tW%2Bz6em2vPF7/9ZiFxwwYbzduyxZaS7NhhraV277aPDYUswJUube1pKlSw6fVKlWz0sHp1m1KuXr3oRva2b9%2Bu0047TbfccouuvvoAjbyjVJcu1r9y0iSbJp850/1azkNJS0tTSkqKkpOTlZ2drQceeEBt2rTRggULVN7rxeOwMAIYAenp6TrzzDO1evVq1apV64Af16KFrQUaM0a69trI1Yd8q1atUp06dRgBLEY5OXZeat%2B%2BUkaGBY0ePaRHHy342tegjQBGi1AoFKgRQMle1DdqZFPrN9xgu8D9tMlvw4YNqlKlitLS0tS8eXPX5aAIsXojAjIyMhQKhVSxYsWDflxev6iDrfcB/OyHH2xR/J13Wvhr0sTWuT33XMHCX2pqqpKSkpRcRMe%2BAcWtShUb5S5ZUnrrLemVV1xXdHgyMjIkSZUqVXJcCYoaAbCY7dy5U/fdd5%2Buu%2B66Q45U5C0R/O23CBQGRFBmptSzpwW%2BGTNsM8GLL1qvtMaNC/55UlJStGDBAqWnpxdfsUARa97c2hpJ9nOQlua2noIKh8Pq1auXzj33XJ3ihwWMOCwEwEIaPXq0KlSosOft66%2B/3vO%2B3bt3q1OnTsrNzdUrBXjZV7Om3XISSPE62P8ZilY4bE2C69eXXnjB1qF16GDHpHXrRtsQBEevXra0JztbuuYaaeVK1xUdWteuXfXjjz/q7bffdl0KigGbQAqpbdu2atq06Z77Nf%2Bb4nbv3q0OHTpo5cqVmjJlSoHWKeW1flm7tlhKxX8d6P8MRWvpUjsJ4bPP7P4JJ9j0V5s2busCXAiFpNdft13cc%2BZIl19ux%2BZ5dQlrt27dNH78eH311Vc69thjXZeDYkAALKS4uDjF5XVw/q%2B88Ld06VJNnTpVlStXLtDnOu44u129uqirxN7293%2BGovPXXzbdNWCAtGuXtcC47z57K1PGdXWAO%2BXKSePHS8nJ1mC7Uye7H%2BOh38ThcFjdunXT2LFjNW3aNNWpU8d1SSgmHvq2iw7Z2dm65pprNGfOHH388cfKycnR%2Bv/u6qhUqZJKH6Rlf%2B3advvrr9bbKzY2AgVDkrRp0yatWbNGv/13AebixYslSdWqVVM1PxzM6hGTJ0spKdLy5Xa/TRs7yeOkk9zWBXe2bdumZcuW7bm/cuVKzZ07V5UqVTpoV4RoVbOmhb7mzaVPPrE1gS%2B95J2dwSkpKRozZozGjRunuLi4Pb%2B/EhISVLZsWcfVoUiFUaRWrlwZlrTft6lTpx70z%2BbmhsMVKoTDUji8cGFk6oUZPnz4fv/P%2BvXr57o0X/jll3C4fXv73pXC4Ro1wuF337Xv6eKQkZERlhTOyMgonr8ARWbq1Kn7/dm66aabXJfm1AcfhMOhkP28DB7supp8B/r9NXz4cNeloYjRB9BjTj/dTgIZP97WiABelp1tI3wPPWRHXpUsaZs7%2Bvcv3rVN9AFENBg0SOrd20b/PvhAuvJK1xUhSNgF7DEnn2y3/52BBDxr%2BnRr63LXXRb%2BzjrLjrsaPNi7C9sBL7n7bjstJByWrrvOWiQBkUIA9Jj69e124UK3dQAHsnmz/dI65xxp3jzpqKOkV1%2BVvv3WTjwAUDChkK3/u%2BQSO7Lv8svz188CxY0A6DFJSXb7889u6wD%2BVzgsjRol1a1rgS8clm66yUarb7%2B96M6OBYIkJkZ6911riL5hg4XBjRtdV4Ug4CnbY/Karc%2Bfb01zAS9YvFhq1crOMt2wwUaqp02T3nxTOuYY19UB/lahgvTxx1KtWtKSJVK7djYiCBQnAqDHnHyy9Urbvp2pALi3c6f08MNSw4bS1Kn2vfnkk7ZR6bzzXFcHRI/q1aVJk6SEBFtOccMNDAKgeBEAPSYmRjr1VLueM8dtLQi2zz%2B378XHHrOGzpdcIi1YIPXtKx2knSWAI9SggTR2rFSqlPSf/0h9%2BriuCNGMAOhBZ5xht7Nnu60DwbR%2Bve1IbNNGWrZMqlFDev99m6JyfShAamqqkpKSlJyc7LYQoJi0aCENH27XgwbZ8YlAcSAAelDe77aZM93WgWDJzbXNHfXqSW%2B/bZs6une3HenXXOONkwpSUlK0YMECpaenuy4FKDadO0uPP27X3brZiy%2BgqBEAPahpU7udNcsa7QLF7ccfpWbNrL1LRobtSJw5U3rhBXr6AS7cf7906632wqxjR2aEUPQIgB5Uv74tBN6%2B3X4xA8Vl%2B3ZbZ9S4sTV2rlBBev55C395SxEARF4oJA0ZYksxduyQLrtMWrPGdVWIJgRADypRwprsStLXX7utBdFr0iRbdP7001JOjnTVVTbd26OHHekGwK1SpaT33rP2YOvXS5deKmVmuq4K0YIA6FHNm9vttGlOy0AU%2Bu03qUMH%2B2WyerX1Hhs/3s4iPfZY19UB2FtCgjRxolStmh0Q0KEDS4NQNAiAHnX%2B%2BXablmajM0Bh5eTYjsL69W1Xb8mSdhbp/Pl2BBUAb6pVyzaClCsnTZ5sm7PCYddVwe8IgB7VpIktvt%2B8WfrhB9fVwO/mzbNNHikpNoWUnGybjAYNsnV/ALztjDOk0aPz1wa%2B8ILriuB3BECPiomRWra068mT3dYC/9q%2BXbr3XvvlMWOGFBdnh89//73UqJHr6gAcjiuusDW7ko3eT5zoth74GwHQwy66yG4nTXJbB/wpb5PHM8/Y9O/VV9smj65d2eQB%2BNXdd0v//Ke1h%2BnUSfrpJ9cVwa8IgB52ySV2O3269OefbmuBf%2Bxvk8eECXa0VM2arqsDUBihkK3lbdFC2rbN1u/%2B8YfrquBHBEAPS0y0abrcXDrB49BycqTU1P1v8rjsMtfVASgqeWcFn3iivci76iopK8t1VfAbAqDHXXGF3X74ods64G1z51rvyK5dbZPHmWeyyQOIZpUq2ch%2BQoL07bfSv/7FzmAcHgKgx119td1OnmxHdAF727ZNuuce2zU%2Bc6btHH/5Zem779jkAUS7evWkd9%2B1wwOGD7dTfICCIgB6XIMG9kO%2Ba5f00Ueuq4GXjB9v3x/PPmvTv%2B3b2yaPlBQ2eQBBceGF9hwg2YvBzz5zWw/8gwDocaGQdN11dj16tNta4A1r10pXXim1a2dng9aube0g3ntPqlHDdXXFKzU1VUlJSUpOTnZdCuAZPXpIt9xi68U7dpSWLXNdEfwgFA6zasDrVqyQTjjBwuDatezkDKrsbOnFF6WHH7b%2BfjExtsnj4YfthIAgyczMVEJCgjIyMhQfH%2B%2B6HMC5rCw7QWr6dCkpyW7j4lxXBS9jBNAHjj9e%2Bsc/bIHvm2%2B6rgYufP%2B9rfO7%2B24Lf82a2QkxAwcGL/wB%2BLvYWNssWKOGtGCBdOONNiIIHAgB0CduvdVu33iDH%2Bog2bRJuuMO2%2BE7b57t/HvtNemrr6RTTnFdHQAvqV7dQmDp0rZm/MknXVcELyMA%2BkT79lLFitLKlRwNFwThsDRihG0AGjbMHrv5ZmnRIjsFoAQ/uQD2o2lTaxQt2fIQTpLCgfBrxCfKlbMAIFmbD0Svn3%2BWzjvP/r83bLD1PGlp1ubhmGNcVwfA62691WYOwmGpc2dp%2BXLXFcGLCIA%2BkpJiG0EmTbKRIESXrVutjcPpp0tff22h/6mnbK1f8%2BauqwPgJy%2B8IJ11lrRli50UsmOH64rgNQRAHznxRKltW7vO6/sE/wuHrYVL/fr2/5qdbSfALFwo3XuvrecBgMMRG2vHxVWpIv34o9SlCyeFYF8EQJ/p3dtuR4yQfvnFbS0ovIULpTZtrHfXr7/aju%2BJE6WxY6VatVxXB8DPata0k0JKlpTeeksaOtR1RfASAqDPNGtm04G7d9v0IPxp61apTx%2BpYUPpiy/s1Xq/ftL8%2BdIll7iurnjt3r1bffr00amnnqry5curRo0auvHGG/Xbb7%2B5Lg2IOuefLw0YYNc9ekjp6U7LgYfQCNqHvvxSat3apgaXLZMSE11XhIIKh6W337aR3Ly8c9lltl7n%2BOPd1hYpGRkZuuaaa3TbbbfptNNO0%2BbNm9WzZ09lZ2dr1qxZBfocNIIGCi4ctnPlx46VjjtOmjPHWkoh2AiAPhQOSy1a2M7Q//s/6w0I75s3T%2BrWzTZ4SBb4XnjBAmDQpaen68wzz9Tq1atVqwBz3wRA4PBkZEhnnGE7gi%2B91M4Sp51UsPHf70OhUP6Q/ptvSj/95LQcHMKff0r/%2BpfUuLGFv7Jlpcces%2Blewp/JyMhQKBRSxYoVXZcCRKWEBNsUEhtr64yfecZ1RXCNEUAfa9/efqBbtrR1ZKGQ64qwt927pSFDbG3fli32WIcO0qBBTNvvbefOnTr33HNVr149jRo1ar8fk5WVpaysrD33MzMzlZiYyAggcJhee026/XbbGDJtmnTuua4rgiuMAPrY00/bq7kpUywIwjs%2B/VQ67TRbdL1li11Pm2Y78oIW/kaPHq0KFSrsefs6bw5ctiGkU6dOys3N1St5xxfsx4ABA5SQkLDnLTFoX0SgiPzzn9YcOidH6tTJZigQTIwA%2Btwjj0j9%2B9sZkAsX2jA/3FmwQLr7bguAknT00dLjj9uTbsmSbmtzZevWrfr999/33K9Zs6bKli2r3bt3q0OHDlqxYoWmTJmiypUrH/BzMAIIFJ1t26QmTaTFi63rwIQJrAcMIgKgz%2B3caa1Eli6Vbrst/9xYRNYff1gYHzbMXlmXKmUbPh56yM5wxr7ywt/SpUs1depUHXOYZ9yxCQQonB9/lM48U8rKsmUpd9/tuiJEGgEwCqSlWa8nSfrkE%2Bmii5yWEyg7dkjPPy8NHGi9/SQ7xePpp6WTTnJbm1dlZ2fr6quv1pw5c/Txxx%2BratWqe95XqVIllS7A0ScEQKDwhg61DWqlSknffislJ7uuCJFEAIwS3btLL70kVatmr%2BwOc0AFhyknRxo50kb4fv3VHjvjDDvK7bzz3NbmdatWrVKdOnX2%2B76pU6fq/LxXMwdBAAQKLxy2jWn/%2BY%2B1pfrhB4kfp%2BAgAEaJv/6yALJwoY0ATpzImo7iEA5LH38s9e1rbVwkO7LtiSek667jax4pBECgaGzZIjVqJK1ebZtDDrARH1GIX1dRomxZ22FapoxtQHj8cdcVRZ%2BvvpL%2B8Q%2BpbVsLf0cdZb20Fi%2BWrr%2Be8AfAfypWlMaMsU1qo0fbzAaCgV9ZUeTUU63vnGS95z76yG090WLWLBtVPe88WydTtqyd47t8uXTPPRa6AcCvzjnHNrFJUkqKPbch%2BhEAo8zNN0tdu9p1584WXnBk5s2zDR3JydLkyVJMjNSli52/PHCgjQACQDTo21dq3txaxHTubI3sEd0IgFFo8GDpwgtth%2Boll0hLlriuyF/mzbOD0xs1ksaNs6ndG26QFi2yEdYaNVxXCABFq2RJ6a23rJfsjBnSo4%2B6rgjFjQAYhWJipPfft7NnN2yQWrWSVqxwXZX3pafbiF%2BjRtKHH9rReh07Sj//bOtiTjjBdYUAUHxq1ZJefdWun3zSlrwgehEAo1RcnPUErFdP%2BuUX6xO4dKnrqrwnHJamTpXatLGmqOPGWfDr1MmC3zvvSPXru64SACKjY0eb8cjNtdu8/qaIPgTAKFalip0TXLeutHatHfo9Z47rqrwhJ8d6XzVtKrVsKX3%2BuU2B3HijHef29ttSUpLrKgEg8l56STruOGnlSjvPHNGJABjlqle3k0IaNbLjypo3l8aPd12VO1u3Si%2B%2BKJ18stS%2BvU37likj3XmnjZCOGGGjpgAQVAkJtuwlFJKGD6ejRLQiAAZA1arStGlS69bS9u22zq1/fxsFC4qlS6W77pKOPdZe0a5YIVWqJD34oDVATU2VDnA4BTwkNTVVSUlJSubMKqBYNW8u9e5t17fdJv3%2Bu9t6UPQ4CSRAdu%2B2EJSaavdbtrRXeTVruq2ruGRn26kdQ4ZIn32W/3jduhYCb7pJKlfOXX04cpwEAhS/rCxbG/3jj1K7dtLYsTYqiOhAAAygkSPtAPAdO6wL/ODBFoai5Qd76VKbtnjzTWndOnssFJIuvljq1s02fHBqh78RAIHI%2BPFHqUkTG0B48037XYHoQAAMqMWLbYdXerrdP%2B886YUXpNNOc1vXkdq0yTZ1jBy5b%2BuCY46RbrlFuuMOO%2Bwc0YEACETOwIHWKDo%2B3rojJCa6rghFgQAYYNnZ0nPP2RFAf/1lo2TXXy89/LB04omuqzu0LVukCROk996zkzryOteXKGGjfLfeauf2li7ttk4UPQIgEDnZ2XYO%2BvTp0gUX2PNttMwYBRkBEFq9Wrr3XgtSkgWo9u2lnj2tTYqXftBXr5YmTrSdzFOm7HtcUcOGFmA7d%2Ba0jmhHAAQia8kSmyHauVMaOtRmVeBvBEDskZ5uo4GTJuU/dtpptuajQwc3m0W2bJG%2B/lr68kvbyLFw4b7vr1/fwmqHDlKDBpGvD24QAIHIGzxY6tVLqlBB%2BuknqXZt1xWhMAiA%2BJu5c6Xnn7dTMLKy8h8/80zbSNGypV2XKVO0f%2B%2BuXXbe7uzZ0syZ0nff2ZPM3t%2BhJUpI55wjXX65Te/Ssy%2BYCIBA5OXk2KlS33xjR4x%2B/rm3ZohweAiAOKBNmywEjh5tYWxvMTHSqafaCGG9erbBIjHReg5WqmSvEEuWzP/4nBzrQbhli/Tnn9L69XY6yapV0rJlNrK3ZMm%2BU7p5TjpJatHC1p60aiUddVSx/rPhAwRAwI2lS%2B15/6%2B/7Nzg2293XRGOFAEQBbJunU0Nf/aZ9NVXFuAOJSbGRuxyc20RcUHEx0unny4lJ0tnnSU1ayZVq1a42hF9CICAO3lTwXFx0vz57Ar2KwIgDls4bJsx5syxlgCLF9tI3i%2B/SBs22CvDAylVSjr6aBspPPZYO2/yxBOtOXNSklSrFlMKODQCIOBOTo7tCv7%2Be1sWNHEiz9t%2BRABEkdu5U9q2zdYP5ubaKGDp0jYtXKYMTxQoPAIg4NaiRXbGfFaW9V%2B94QbXFeFwEQAB%2BA4BEHBvwADp/vtt3feCBTazA//gQCwAAHDY7rnHRgE3bZK6d3ddDQ4XARCAb6SmpiopKUnJycmuSwECr1Qp6Y03rOPDe%2B9Zg374B1PAAHyHKWDAO/r0kZ5%2B2jb2zZ9v3RzgfYwAAgCAI9avn3TCCdYJ4v77XVeDgiIAAgCAI1aunDWFlqRXXpGmT3dbDwqGAAgAAAqlVSvpxhutT%2Bztt%2B//VCd4CwEQAAAU2rPPSpUr2xnuzz7ruhocCgEQAAAU2tFH5we/Rx%2BVVq50Ww8OjgAIAACKxI03Si1a2JGgKSk2JQxvIgACAIAiEQpJQ4bY8Z%2BffCJ98IHrinAgBEAAAFBk6ta13oCS1KOHlJnpth7sHwEQAAAUqb59rTfgb79Zn0B4DwEQAAAUqbJlpdRUu37pJWnePLf14O8IgAAAoMhdeKF0zTVSTo50551Sbq7rirA3AiAAACgWgwdL5ctL330njRjhuhrsjQAIwDdSU1OVlJSk5ORk16UAKIBjj81fA9inj7R5s9t6kC8UDtOlB4C/ZGZmKiEhQRkZGYqPj3ddDoCD2LVLatRIWrjQegO%2B/LLriiAxAggAAIpR6dL5oW/IEGnuXLf1wBAAAQBAsWrZUurQwTaCdO3KCSFeQAAEAADFbtAgqVw56dtvpTFjXFcDAiAAACh2iYnSAw/Yde/e0tatbusJOgIgAACIiLvvthNC1q2TnnjCdTXBRgAEAAARERsrPfecXQ8eLC1b5raeICMAAgCAiLn8cjslZNcuGxGEGwRAAE7dcccdCoVCev75512XAiACQiHp%2BeelmBhp/Hjp889dVxRMBEAAznz00UeaMWOGatSo4boUABFUr541hZaknj2l7Gy39QQRARCAE7/%2B%2Bqu6du2q0aNHq1SpUq7LARBh/fpJlStLCxZIQ4e6riZ4CIAAIi43N1c33HCDevfurQYNGrguB4ADRx0lPfqoXffrxznBkUYABBBxTz31lGJiYtS9e/cCfXxWVpYyMzP3eQPgf7ffLjVoIG3alB8GERkEQADFavTo0apQocKet7S0NL3wwgt68803FQqFCvQ5BgwYoISEhD1viYmJxVw1gEiIibF2MJKdF7xkidt6giQUDnMiH4Dis3XrVv3%2B%2B%2B977r///vt64IEHVKJE/uvPnJwclShRQomJiX6sBvIAAAc3SURBVFq1atXfPkdWVpaysrL23M/MzFRiYqIyMjIUHx9frPUDKH6XXipNmiS1bSuNG%2Be6mmAgAAKIqI0bN2rdunX7PHbhhRfqhhtu0C233KK6dese8nNkZmYqISGBAAhEiYULpVNPlXJypClTpBYtXFcU/WJcFwAgWCpXrqzKlSvv81ipUqVUrVq1AoU/ANGnfn3pjjukV16x5tCzZkklWKRWrPjyAgAA5x55RIqPl374QRo1ynU10Y8pYAC%2BwxQwEJ2eekq67z7p2GNtQ0jZsq4ril6MAAIAAE/o0UOqVUv65Rc7Lg7FhwAIAAA8oUwZ6ckn7XrAAGnDBrf1RDMCIAAA8Ixrr5UaN5a2bqU5dHEiAAIAAM8oUUJ65hm7HjpUWrbMbT3RigAIAAA8pWVL6eKLpexs6f77XVcTnQiAAADAcwYOlEIh6f33pZkzXVcTfQiAAADAcxo2lG680a779JFoWle0CIAAAMCTHn1Uio2Vpk2TPv3UdTXRhQAIwDdSU1OVlJSk5ORk16UAiIBataSuXe26b18pN9dtPdGEk0AA%2BA4ngQDBsXGjdPzxUmamHRHXubPriqIDI4AAAMCzKleW7r3Xrh9%2BWNq1y2090YIACAAAPK1nT6lqVWnFCun1111XEx0IgAAAwNPKl5ceesiuH3tM2r7dbT3RgAAIAAA877bbpDp1pPXrpZdecl2N/xEAAQCA55UuLfXvb9dPPSVt2eK2Hr8jAAIAAF%2B47jqpQQMLf4MGua7G3wiAAADAF0qWtDWAkvT889Iff7itx88IgAAAwDeuuEJq0sQ2ggwc6Loa/yIAAgAA3wiFpMcft%2BtXXpF%2B/dVtPX5FAAQAAL7Spo107rlSVpb0xBOuq/EnAiAAAPCVvUcBX39dWrXKaTm%2BRAAEAAC%2Bc955UqtW0u7d%2BWEQBUcABOAbqampSkpKUnJysutSAHhA3o7gN9%2BUli93WorvhMLhcNh1EQBwODIzM5WQkKCMjAzFx8e7LgeAQ5dcIn3yiXTjjdKIEa6r8Q9GAAEAgG/lnQ4yapS0ZInbWvyEAAgAAHwrOVm67DIpNzd/ShiHRgAEAAC%2B9sgjdjtmjLR4sdNSfIMACAAAfO2MM6S2bRkFPBwEQAAA4Hv9%2Btnt228zClgQMa4LAAAAKKzGjaVbb5Xq1pVq1nRdjffRBgaA79AGBgAKhylgAACAgCEAAgAABAwBEAAAIGAIgAAAAAFDAAQAAAgYAiAA30hNTVVSUpKSk5NdlwIAvkYbGAC%2BQxsYACgcRgABAAAChgAIAAAQMARAAACAgCEAAgAABAwBEAAAIGAIgAAAAAFDAAQAAAgYAiAAJxYuXKi2bdsqISFBcXFxOuuss7RmzRrXZQFAIBAAAUTc8uXLde6556pevXqaNm2a5s2bp4ceekhlypRxXRoABAIngQCIuE6dOqlUqVJ66623jujPcxIIABQOI4AAIio3N1cTJ07UySefrAsvvFBVqlRR06ZN9dFHH7kuDQACgwAIIKL%2B%2BOMPbdu2TQMHDtRFF12kzz77TFdeeaWuuuoqpaWl7ffPZGVlKTMzc583AMCRIwACKFajR49WhQoV9rwtXrxYktSuXTvdddddatSoke677z5ddtllGjp06H4/x4ABA5SQkLDnLTExMZL/BACIOjGuCwAQ3dq2baumTZvuuX/MMccoJiZGSUlJ%2B3xc/fr19c033%2Bz3c/Tt21e9evXacz8zM5MQCACFQAAEUKzi4uIUFxe3z2PJycl7RgLzLFmyRMcdd9x%2BP0dsbKxiY2OLrUYACBoCIICI6927tzp27KjmzZurRYsW%2BvTTTzVhwgRNmzbNdWkAEAi0gQHgxL///W8NGDBAv/zyi%2BrWrav%2B/furXbt2BfqztIEBgMIhAALwHQIgABQOu4ABAAAChgAIAAAQMARAAACAgCEAAgAABAwBEAAAIGAIgAAAAAFDAAQAAAgYAiAAAEDAEAAB%2BEZqaqqSkpKUnJzsuhQA8DVOAgHgO5wEAgCFwwggAABAwDACCMB3wuGwtm7dqri4OIVCIdflAIDvEAABAAAChilgAACAgCEAAgAABAwBEAAAIGAIgAAAAAFDAAQAAAgYAiAAAEDAEAABAAAChgAIAAAQMARAAACAgCEAAgAABAwBEAAAIGAIgAAAAAFDAAQAAAgYAiAAAEDAEAABAAAChgAIAAAQMARAAACAgCEAAgAABAwBEAAAIGAIgAAAAAFDAAQAAAgYAiAAAEDAEAABAAAChgAIAAAQMARAAACAgCEAAgAABAwBEAAAIGAIgAAAAAFDAAQAAAgYAiAAAEDAEAABAAAChgAIAAAQMARAAACAgCEAAgDw/%2B3WgQAAAACAIH/rQS6KYEYAAQBmBBAAYEYAAQBmBBAAYEYAAQBmBBAAYEYAAQBmBBAAYEYAAQBmBBAAYEYAAQBmBBAAYEYAAQBmBBAAYEYAAQBmBBAAYCZ51euMipqb7QAAAABJRU5ErkJggg%3D%3D'}