-
g2c_curves • Show schema
Hide schema
{'Lhash': '321037937103707737', 'abs_disc': 1137, 'analytic_rank': 0, 'analytic_rank_proved': False, 'analytic_sha': 1, 'aut_grp_id': '[2,1]', 'aut_grp_label': '2.1', 'aut_grp_tex': 'C_2', 'bad_lfactors': '[[3,[1,1,1,-3]],[379,[1,-21,399,-379]]]', 'bad_primes': [3, 379], 'class': '1137.a', 'cond': 1137, 'disc_sign': 1, 'end_alg': 'Q', 'eqn': '[[0,0,0,1,1,1],[1,1,1]]', 'g2_inv': "['69343957/1137','3292445/1137','-491471/1137']", 'geom_aut_grp_id': '[2,1]', 'geom_aut_grp_label': '2.1', 'geom_aut_grp_tex': 'C_2', 'geom_end_alg': 'Q', 'globally_solvable': 1, 'has_square_sha': True, 'hasse_weil_proved': False, 'igusa_clebsch_inv': "['148','-191','28401','145536']", 'igusa_inv': "['37','65','-359','-4377','1137']", 'is_gl2_type': False, 'is_simple_base': True, 'is_simple_geom': True, 'label': '1137.a.1137.1', 'leading_coeff': {'__RealLiteral__': 0, 'data': '0.4311764803304784778807625830477977485045671160761159476', 'prec': 190}, 'locally_solvable': True, 'modell_images': ['2.60.1', '3.80.1'], 'mw_rank': 0, 'mw_rank_proved': True, 'non_maximal_primes': [2, 3], 'non_solvable_places': [], 'num_rat_pts': 3, 'num_rat_wpts': 1, 'real_geom_end_alg': 'R', 'real_period': {'__RealLiteral__': 0, 'data': '15.522353291897225203707452990', 'prec': 100}, 'regulator': {'__RealLiteral__': 0, 'data': '1.0', 'prec': 10}, 'root_number': 1, 'st_group': 'USp(4)', 'st_label': '1.4.A.1.1a', 'st_label_components': [1, 4, 0, 1, 1, 0], 'tamagawa_product': 1, 'torsion_order': 6, 'torsion_subgroup': '[6]', 'two_selmer_rank': 1, 'two_torsion_field': ['6.0.3878307.2', [16, -4, -3, 7, 0, -1, 1], [6, 3], False]}
-
g2c_endomorphisms • Show schema
Hide schema
{'factorsQQ_base': [['1.1.1.1', [0, 1], -1]], 'factorsQQ_geom': [['1.1.1.1', [0, 1], -1]], 'factorsRR_base': ['RR'], 'factorsRR_geom': ['RR'], 'fod_coeffs': [0, 1], 'fod_label': '1.1.1.1', 'is_simple_base': True, 'is_simple_geom': True, 'label': '1137.a.1137.1', 'lattice': [[['1.1.1.1', [0, 1], [0]], [['1.1.1.1', [0, 1], -1]], ['RR'], [1, -1], 'USp(4)']], 'ring_base': [1, -1], 'ring_geom': [1, -1], 'spl_fod_coeffs': [0, 1], 'spl_fod_gen': [0], 'spl_fod_label': '1.1.1.1', 'st_group_base': 'USp(4)', 'st_group_geom': 'USp(4)'}
-
g2c_ratpts • Show schema
Hide schema
{'label': '1137.a.1137.1', 'mw_gens': [[[[0, 1], [1, 1]], [[-1, 1], [0, 1], [0, 1], [0, 1]]]], 'mw_gens_v': True, 'mw_heights': [], 'mw_invs': [6], 'num_rat_pts': 3, 'rat_pts': [[0, -1, 1], [0, 0, 1], [1, 0, 0]], 'rat_pts_v': True}
-
g2c_galrep • Show schema
Hide schema
-
id: 313
{'conductor': 1137, 'lmfdb_label': '1137.a.1137.1', 'modell_image': '2.60.1', 'prime': 2}
-
id: 314
{'conductor': 1137, 'lmfdb_label': '1137.a.1137.1', 'modell_image': '3.80.1', 'prime': 3}
-
g2c_tamagawa • Show schema
Hide schema
-
id: 5922
{'cluster_label': 'c3c2_1~2_0', 'label': '1137.a.1137.1', 'p': 3, 'tamagawa_number': 1}
-
id: 5923
{'cluster_label': 'c3c2_1~2_0', 'label': '1137.a.1137.1', 'p': 379, 'tamagawa_number': 1}
-
g2c_plots • Show schema
Hide schema
{'label': '1137.a.1137.1', 'plot': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzt3Xd8VFXex/HvEEggkIxggIQqTSAgPaAigjQLgthQUBE7goiPjyK67oLuKriWtTCCog/iimADRREpKmVByiJROkiTHmkzoaSQ3OePYzIJNQmZ3Jm5n/frdV535t6ZyS%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%2BLeHDp39/XFxUoMG0sUXSw0b%2Blv9%2BlJUVEn8BuGFAAgAAM5LdraUkiLt2OFvv/9uAl/ONiXl3J9TtapUr55p9ev7W4MGUsWKgf89nIQACAAAzujIEWn3btP27JF27TKPd%2B0ybedOsz1x4tyfVaGCdNFFUp06Zlu3rnlcp455XKFCoH8b5CAAAgDgIJZlBk788YfplUtJkfbt87e9e/3bPXuko0cL9rmlSknx8VLNmqbVru3f5rSKFSWXK7C/HwqGAAgATvD779I770hLl5rn33wj3XabFBFhb104L1lZks8nHTzobwcOnNr27zeBL2ebnl64nxMTIyUkmFa9ulStmtlWry7VqGFaQoJUmlQRMlyWZVl2FwEACKCvvjJhLz1dPkluSV5JsV27Sl9/LZUta3OBznTihOmJy2k%2Bn3/r9fq3Xq8ZIZuzPXzYDJg4dMi8pqj/ikdHmylTqlQx996d3OLj/aGPS7PhhwAIAOHsjz/MtbfjxyUpfwCUpGHDpJdesq%2B%2BIGJZJpRlZJgesrQ0s815nLcdP25aWpp07Jh5fOxY/nb06KntyBF/K2wv3NlER0uVKkkXXujf5rS4uPytcmUT%2BqKji%2B/nI/TQWQvAsSzLXELLzDTtxInTt6ws0/I%2BzsoyIx/zPj5bs6xTt6drOXWd/DxvzSf/DmdzycwJavtn%2BDudNM97mlz378ouHXnWzzzTzz1dzQVtJ5%2Bb07W85/vkc57zZ5Lz53Lyn1vOn2vOn23O44wM0/I%2BzmnZ2Wc/n4EQGWkuscbESG632cbGmsd52wUX5G8VK/pbZOS5fw6QFwHwPFiWpdSTpyAHUGDZ2f6ek6NH/T0nOfvy9rDk9Lqkp/u3Ob0xOb006en%2B3pucf9zzPs67zcw0oSHcva1kNcrz3HfSVkcP6q8DN2mXapZsYSHA5TJXx6OiTMAqW/b0rVy5/C06%2BtRWvrzZVqhgHpcvbx5XqHD%2B4S3nvwMUXkxMjFwOHZXCJeDz4PP55Ha77S4DAAAUgdfrVWxsrN1l2IIAeB6KswfQ5/OpZs2a2rFjR0C%2BjElJSVq%2BfHmxf26of36gz7sU2HNzvp%2BdMx3E/v1m9OD%2B/WbEYM5owvffn6qOHW/SoUP%2BG88PHzb3LxW3smVP7TXJ2ZezjYoyPSxRUf7el6go//PISP/zYcMek8fzeu6%2BMmVO30qXNi3neUREwaapCOY/17wyVqxQZOfOuc99kmpK2qE/7wHs1Uv697%2BL5WdJoft3QaA/2%2Bl/19j1%2Bec6707uAeQS8HlwuVzF/h9ybGxsQP5yiIiICOj/5YT65wfqvEuBrf10n50T6vbsMW3vXn/LO9dXSkpBpoMYoOnTz3y0fHn//Ug59yjl3LsUG%2Bu/lynncUxMzmjCI7riiubatClZCQkxKlfOzCFWnP7xjyW64YbQ/E4W62dfdZX0yCPSmDH5dsdKiq1cWXr5ZfMHVExC%2Be%2BCQNcuhdffNaH0%2BYE876GKAOgQgwcP5vNtUpy1511uaedOqUmTdzRsmH9G/pzZ%2Bgs6cWuO6GgzMjAuLv%2Bowc2bl%2Bqaa9qpUiXltpybzy%2B4wPSYFYXPly1pi6pUsVS%2BfNE%2B41xC%2BTtZ7J/91ltSs2bSm29Kq1dLkjL69JFGjTLLLxQjzrt9QvnchPq5D0VcAg4SOfcTOvl%2BBDsE23nPyjIBbutW/2Lp27b519PcscMMYiiIvBO3xsebljO/V868X3ZNBxFs591Jdm7dqpp162rHjh2qUaOG3eU4Bt95e3Dez4wewCARFRWlESNGKCoqyu5SHMWO856RYYLdpk3Sb79Jmzeb7ZYtJuydK%2BC5XCbU1azpn4G/Rg3/zPzVqpkWqJ614sD33T5Rf87oy7kvWXzn7cF5PzN6AIEAsCxzf926ddL69dKGDWa7caMJeWebfqR0aTNv70UXmZbzuHZtqVYtE/KKeukVoEcEgEQPIHDe9u%2BXVq0yt1atWWPaunVmNO2ZlC8v1a8vNWgg1atnHtetax7XqMHyrACAwCIAAgV04oTpyUtONu3XX03bu/f0r3e5TM9do0amNWxoWoMG5hKtQ2ceAAAEAQIgcBqZmaZHb8UKf1u16syz7depIzVtalqTJlJiogl95cqVbN0AABREMc%2B8hbOxLEsjR45UtWrVVK5cOXXq1Elr1qw55/t27dqlO%2B%2B8UxdeeKGio6PVokULrVixogQqDg/nOu%2BWZQZiTJokPfqodNllZgRtq1bSAw9I48ZJy5eb8FehgnT55dKgQdI770hLlpg597ZskaZPl158UbrjDqllS8KfVLTv/KhRo5SUlKSYmBhVqVJFvXv31oYNG0qoYqDo3n77bdWpU0dly5ZV69attXDhwjO%2Bdvz48erQoYMqVqyoihUrqmvXrlq2bFkJVhs%2BCnPe85oyZYpcLpd69%2B4d4AqDlIUSM3r0aCsmJsb64osvrFWrVlm33XablZCQYPl8vjO%2B5%2BDBg1bt2rWtAQMGWEuXLrW2bt1qzZ071/rtt99KsPLQdvJ5v%2BWWO60LL7zBGjkyzerZ07Li4k6/VL3bbVlJSYet2NhxVq1aT1r9%2B//dysqy%2B7cJLUX5zl999dXWhAkTrNWrV1vJyclWjx49rFq1allHjhwpwcrDl9frtSRZXq/X7lLCypQpU6wyZcpY48ePt9auXWsNHTrUKl%2B%2BvLV9%2B/bTvr5fv36Wx%2BOxVq5caa1bt8665557LLfbbe3cubOEKw9thT3vObZt22ZVr17d6tChg3XDDTeUULXBhQBYQrKzs634%2BHhr9OjRufvS0tIst9ttjRs37ozve%2Bqpp6wrrriiJEoMS9nZ2VaVKvWse%2B75xBo%2B3LIuv9yyIiOzTwl7kZGW1a6dZT36qGV99JFlbdxoWV5vqtWgQQNrzpw5VseOHa2hQ4fa/euElKJ%2B50%2BWkpJiSbLmz58fiDIdhwAYGG3btrUGDhyYb1%2BjRo2s4cOHF%2Bj9J06csGJiYqyJEycGorywVZTzfuLECat9%2B/bWe%2B%2B9Z919992ODYBcAi4hW7du1d69e9W9e/fcfVFRUerYsaMWL158xvdNnz5dbdq00a233qoqVaqoZcuWGj9%2BfEmUHLKOH5fmzpWeflpq1SpdKSnrNWFCH40eLS1eLGVkuBQVdUi1ai3Xq69KP/0k%2BXzmcu4bb5hLuA0aSEOGDFaPHj3UtWtXu3%2BlkFTU7/zJvF6vJKlSpUrFXiNQHDIyMrRixYp833VJ6t69e4G/68eOHVNmZibf80Io6nl//vnnVblyZd13332BLjGoMQikhOz9c6ho1apV8%2B2vWrWqtm/ffsb3bdmyRWPHjtXjjz%2BuZ555RsuWLdOjjz6qqKgo9e/fP6A1h4rsbOmXX6TZs01btCjv%2BrZlJUm1ap1Q586l1aGDdOWV0ksvPaXff9%2Buxx%2BfddrPnDJlin7%2B%2BeeALn4e7or6nc/Lsiw9/vjjuuKKK9S0adNirxEoDvv371dWVtZpv%2Bt7zzRNwEmGDx%2Bu6tWr8z%2BchVCU875o0SK9//77Sk5OLokSgxoBMEAmTZqkhx56KPf5jBkzJEmuk%2Bb%2BsCzrlH15ZWdnq02bNnrxxRclSS1bttSaNWs0duxYRwfAw4elWbOkb78123378h93uXYpImKenniitUaP7q4lS5YqISEhzyvOfN537NihoUOHavbs2SpbtmzgfokwU1zf%2BbweeeQR/frrr/rPf/5TfIUCAVLU7/o///lPTZ48WfPmzePvnCIo6HlPTU3VnXfeqfHjxysuLq6kygtaBMAA6dWrl9q1a5f7PP3PLqm9e/fmCyIpKSmn/N9LXgkJCUpMTMy3r3Hjxvriiy%2BKueLgt3mz9NVX0tdfSwsX5l9No3x5qXNnqUOHNDVrtk9162bK5Wqn9PR0jR69o1DnfcWKFUpJSVHr1q1z92VlZWnBggUaM2aM0tPTFcFMzacoru98jiFDhmj69OlasGABa9YiqMXFxSkiIuKUXqeCfNdfeeUVvfjii5o7d66aNWsWyDLDTmHP%2B%2BbNm7Vt2zb17Nkzd192drYkqXTp0tqwYYPq1asX2KKDCAEwQGJiYhQTE5P73LIsxcfHa86cOWrZsqUkc//C/Pnz9dJLL53xc9q3b3/KFBgbN25U7dq1A1N4ELEsc2l36lTTTp49pHFj6brrTLviCikyUjKXfGvn%2BYzCn/cuXbpo1apV%2Bfbdc889atSokZ566inC3xkU13fesiwNGTJE06ZN07x581SnTp2A1%2B4EHo9HHo9HWWdbhxBFEhkZqdatW2vOnDm68cYbc/fPmTNHN9xwwxnf9/LLL%2Bsf//iHZs2apTZt2pREqWGlsOe9UaNGp/zd/uyzzyo1NVVvvPGGatasGfCag4ptw08caPTo0Zbb7bamTp1qrVq1yurbt%2B8pU2J07tzZeuutt3KfL1u2zCpdurT1wgsvWJs2bbImTZpkRUdHWx999JEdv0LAZWdb1s8/W9bw4ZZVv37%2BkboREZZ11VWW9frrlrV5c8E/syjn/WSMAi6aopz7hx9%2B2HK73da8efOsPXv25LZjx47Z8SuEHUYBB0bOdCTvv/%2B%2BtXbtWuuxxx6zypcvb23bts2yLMu666678o1Mfemll6zIyEjr888/z/c9T01NtetXCEmFPe8nc/IoYHoAS9CwYcN0/PhxDRo0SIcOHVK7du00e/bsfL0mmzdv1v79%2B3OfJyUladq0aXr66af1/PPPq06dOnr99dd1xx132PErBMxvv5mJmCdPNsut5ShbVrrmGummm6Trr5cqViz8ZxflvKN4FOXcjx07VpLUqVOnfJ81YcIEDRgwoCTKBgrttttu04EDB/T8889rz549atq0qb799tvcqzW///67SpXyT7zx9ttvKyMjQ7fccku%2BzxkxYoRGjhxZkqWHtMKed/i5LMuy7C4CznTokDRlivThh2YKlhxRUVKPHlKfPmZboYJ9NQLhxufzye12y%2Bv1KjY21u5yANiEHkCUqOxs6YcfpPffN/f1ZWSY/aVKSd26Sf36Sb17S/y7BABA4BAAUSL27ZP%2B7/%2Bk8eOlrVv9%2B5s1k%2B6%2B2wS/%2BHj76gMAwEkIgAgYyzKXdseMkT77TMrMNPvdbrPaxr33Sq1aSQWcEg4AABQTAiCKXWam9Pnn0r/%2BJeVdSKNdO2ngQHNvX3S0ffUBAOB0BEAUmyNHzCXef/1L2rHD7IuKkvr2lYYMMb19AADAfgRAnLeDB6W33pLeeMOM7JWkqlWlwYNNj1/lyvbWBwAA8iMAosgOHpRee016800pNdXsa9BAevJJ6a67zBx%2BAAAg%2BBAAUWipqdLrr0uvvCL5fGbfJZdIzz4r3XyzxEppAAAENwIgCiwzU3r3Xem556Q//jD7mjWTRowwc/cx2ToAAKGBAIhzsixpxgzpf/9X2rjR7KtfX/r7382IXoIfAAChhQCIs9q0SXr0Uem778zzypWlkSOlBx6QypSxtTQAAFBEBECcVlqaNGqUNHq0Wa6tTBnpscekv/zFTOQMAABCFwEQp1iwQLr/ftP7J0nXXGNG%2BjZoYG9dAACgeHD3FnIdPWou93bsaMJfQoJZwu3bbwl/AACEE3oAIcks2XbHHf5ev/vvl15%2BWbrgAnvrAlA8PB6PPB6PsrKy7C4FQBBwWZZl2V0E7JOdbYLes89KJ05I1atL//d/UvfudlcGIBB8Pp/cbre8Xq9iY2PtLgeATegBdLADB8yKHTNnmud9%2BkjjxkkVK9pbFwAACCwCoEMlJ5vJm7dvN0u2vfWWdN99kstld2UAACDQCIAO9MUXUv/%2B0rFjUr165nnz5nZXBQAASgqjgB3Essz6vbfcYsLf1VebwR%2BEPwAAnIUA6BDZ2WYptyefNM8feUT65hvu9wMAwIm4BOwAWVnSgw%2Ba0b2S9Oqr0uOP21sTAACwDwEwzGVlmcEdEydKpUpJEyaY%2B/8AAIBzEQDDmGVJgwaZ8BcRIX38sZnqBQAAOBv3AIaxv/5Vevdd0/P30UeEPwAAYBAAw9T770svvGAejxsn3X67vfUAAIDgQQAMQ4sXSw8/bB4/%2B6z0wAP21gMAAIILATDMpKSYef4yM6Vbb5Wef97uigAAQLAhAIYRy5IGDJD27JEaNzbTvrC0GwAAOBkBMIy8%2B640c6YUFSV9%2BqlUoYLdFQEAgGBEAAwTu3b5V/kYPVpq2tTeegAAQPAiAIaJJ5%2BUUlOldu2kIUPsrgYAAAQzAmAYWLpUmjzZ3O83dqyZ9BkA8vJ4PEpMTFRSUpLdpQAIAi7Lsiy7i8D56dZNmjvXDACZMMHuagAEM5/PJ7fbLa/Xq9jYWLvLAWATegBD3LJlJvyVLi2NGGF3NQAAIBQQAEPcG2%2BYbd%2B%2B0kUX2VoKAAAIEQTAEHbwoPT55%2Bbx0KH21gIAAEIHATCEffGFlJEhNW8utW5tdzUAACBUEABD2LRpZnvbbfbWAQAAQgsBMESlp0s//mge9%2Bxpby0AACC0EABD1IoVUlqaVKWK1KSJ3dUAAIBQQgAMUT//bLZt25oJoAEAAAqKABii1q0zW9b8BQAAhUUADFHbt5ttnTr21gEAAEIPATBEHThgtlWq2FsHAAAIPQTAEHX0qNmWL29vHQAAIPQQAAEAAByGABiicnr%2BcnoCAQAACooAGKLi4sw2JcXeOgAAQOghAIaoWrXMdssWe%2BsAAAChhwAYohITzXb1anvrABAaPB6PEhMTlZSUZHcpAIKAy7Isy%2B4iUHhLlkiXXWYuBaeksBoIgILx%2BXxyu93yer2KjY21uxwANqEHMES1aiVFR0v790u//GJ3NQAAIJQQAENUZKTUpYt5/NVX9tYCAABCCwEwhN18s9l%2B/LHEhXwAAFBQBMAQdtNNZj7AjRul%2BfPtrgYAAIQKAmAIi4mR7rzTPH7tNXtrAQAAoYMAGOL%2B53/MCOCvv5ZWrrS7GgAAEAoIgCGuYUOpb1/zeNgw7gUEAADnRgAMA3//uxkVPHeu9OWXdlcDAACCHQEwDNStKz3xhHk8ZIh0%2BLC99QAAgOBGAAwTzz4rNWgg7dplQiAAAMCZEADDRLly0sSJUqlS0kcfSR98YHdFAAAgWBEAw8hll0nPPWceP/ywtGKFvfUAODPLsjRy5EhVq1ZN5cqVU6dOnbRmzZqzvmfkyJFyuVz5Wnx8fAlVDCCcEADDzDPPSD16SGlpUq9e0s6ddlcE4HT%2B%2Bc9/6rXXXtOYMWO0fPlyxcfHq1u3bkpNTT3r%2B5o0aaI9e/bktlWrVpVQxQDCCQEwzJQqJU2aJCUmSrt3S9deKx06ZHdVAPKyLEuvv/66/vKXv%2Bimm25S06ZNNXHiRB07dkwff/zxWd9bunRpxcfH57bKlSuXUNUAwgkBMAy53dK330oJCdLq1dI110g%2Bn91VAcixdetW7d27V927d8/dFxUVpY4dO2rx4sVnfe%2BmTZtUrVo11alTR7fffru2bNkS6HIBhCECYJiqXVuaPVuqVElatky6%2BmqmhwGCxd69eyVJVatWzbe/atWqucdOp127dvrwww81a9YsjR8/Xnv37tXll1%2BuAwcOnPE96enp8vl8%2BRoAEADDWNOm0pw5UsWK0pIlUufO0r59dlcFOM%2BkSZNUoUKF3JaZmSlJcrlc%2BV5nWdYp%2B/K69tprdfPNN%2BuSSy5R165dNWPGDEnSxIkTz/ieUaNGye1257aaNWsWw28EINQRAMNcq1bSjz9KlSubtYLbt5d%2B%2B83uqgBn6dWrl5KTk3NbXFycJJ3S25eSknJKr%2BDZlC9fXpdccok2bdp0xtc8/fTT8nq9uW3Hjh1F%2ByUAhBUCoAM0by4tWiRddJG0ebPUrp00f77dVQHOERMTo/r16%2Be2xMRExcfHa86cObmvycjI0Pz583X55ZcX%2BHPT09O1bt06JSQknPE1UVFRio2NzdcAgADoEA0aSD/9JCUlSQcPSl27Sm%2B/LVmW3ZUBzuNyufTYY4/pxRdf1LRp07R69WoNGDBA0dHR6tevX%2B7runTpojFjxuQ%2Bf%2BKJJzR//nxt3bpVS5cu1S233CKfz6e7777bjl8DQAgrbXcBKDnx8abn7957pSlTpMGDTSgcO1aqUMHu6gBnGTZsmI4fP65Bgwbp0KFDateunWbPnq2YmJjc12zevFn79%2B/Pfb5z50717dtX%2B/fvV%2BXKlXXppZdqyZIlql27th2/AoAQ5rIs%2BoCcxrKk116TnnpKysqSGjY0gbBFC7srAxBoPp9PbrdbXq%2BXy8GAg3EJ2IFcLul//9cMDqlWTdqwwdwX%2BMorJhACAIDwRgB0sA4dpF9%2BMUvGZWRITz4pdewonWVAIQAACAMEQIeLi5O%2B/FJ67z1zH%2BCiRVKzZtJLL0l/TlUGAADCDAEQcrmk%2B%2B4zy8Z16yalpUnDh0utW5tACAAAwgsBELlq15ZmzZI%2B%2BEC68EJp1Srpiiuku%2B%2BW9uyxuzoAAFBcCIDIx%2BUygW/9etMrKEkffihdfLE0apR0/Li99QEAgPNHAMRpxcWZ%2BwKXLpXatpWOHJGeecZMGTNxIqOFAQAIZQRAnFXbtmay6I8%2BkmrWlHbskAYMMHMGfvklK4kAABCKCIA4p1KlpDvuMPMFvvSSdMEFZsDIjTeapeW%2B%2BYYgCABAKCEAosDKlZOGDZO2bDGXg8uXl1askHr2NEHwyy%2Bl7Gy7qwQAAOdCAEShVawovfCCtHWrCYTR0SYI3nijmUPw3/9mDkEAAIIZawHjvO3fL/3rX9KYMZLPZ/bVrCkNHSo98IDEcqNA8GAtYAASARDFyOuV3n5beuMNad8%2Bsy8mxkwnM2SIVLeuvfUBTubxeOTxeJSVlaWNGzcSAAGHIwCi2KWlmVHDr75q5hOUzPyC118vPfKI1LWrGVgCoOTRAwhAIgAigLKzpdmzpddfNyuM5Lj4YmngQDPhdKVK9tUHOBEBEIBEAEQJWb/eXB7%2B4AMpNdXsi4qSbr1VevBBs%2BScy2VriYAjEAABSARAlLAjR6RJk6SxY6VffvHvb9hQuvde6a67pIQE%2B%2BoDwh0BEIBEAIRNLEtatkwaP16aMkU6etTsj4iQrr3WXB7u2dP0EgIoPgRAABIBEEEgNVX69FPp/ffNsnM5KlaUbrtNuvNO6fLLuUQMFAcCIACJAIggs369NHGiGUW8c6d/f506Ur9%2BpiUm2lcfEOoIgAAkAiCCVFaW9OOPZlWRqVPNvYM5mjWTbr/d9A4ytyBQOARAABIBECHg2DFp%2BnTp44%2Bl777Lv8xcUpLUp48ZTVy7tn01AqGCAAhAIgAixBw8aHoEp0wxPYTZ2f5jbdpIt9wi3XyzVL%2B%2BfTUCwYwACEAiACKE7dsnffGF9Nln0oIF%2BcNg8%2BbSjTdKN90kNW3KABIgBwEQgEQARJjYt0%2BaNk36/HNp3jxzD2GOevWk3r1Nu%2BwyM9UM4FQEQAASARBh6MABc8/gtGlmKbr0dP%2BxuDizJvENN0jduknly9tXJ2AHAiAAiQCIMHfkiBk48uWX0owZ0uHD/mNRUVKXLmbC6R49pJo17asTKCkEQAASARAOkpkpLVxoegenT5e2bs1/vHlz0zvYo4fUti2XihGeCIAAJAIgHMqypDVrpG%2B%2Bkb7%2B2qxAkve/hAsvlK65RrruOql7d3PpGAgHBEAAEgEQkCT98Ye5VDxjhtl6vf5jLpfpEbzuOrNOcevWUqlS9tUKFIXH45HH41FWVpY2btxIAAQcjgAInOTECWnRImnmTOnbb6VVq/Ifj4szvYLXXGO2VavaUydQFPSAXLEPAAAasklEQVQAApAIgMA57dxpwuB330lz50o%2BX/7jLVv6A%2BHll0uRkfbUCRQEARCARAAECiUzU1q8WJo1ywTClSvzHy9fXurUyQTC7t2lhg2ZhBrBhQAIQCIAAudl3z5pzhwTCGfPllJS8h%2BvWdMEwW7dzJQzDCaB3QiAACQCIFBssrOlX34xQXD2bOk//5EyMvzHXS5zubhbN9Pat5fKlrWvXjgTARCARAAEAubYMTPv4OzZppfw5MEkZctKV1xhwmDXrlKLFowuRuARAAFIBECgxOzdawaRzJljtrt35z9eqZLUubMJg126mDWMuX8QxY0ACEAiAAK2sCxp/Xp/GJw3T0pNzf%2Ba2rVNGOzc2QRCpptBcSAAApAIgEBQyMyUli83YXDuXGnJErMvr0suMUGwc2epY0eJf7tRFARAABIBEAhKR4%2Ba%2BwfnzpW%2B/15KTs5/PCJCSkoygbBrV%2BnSSxlQgoIhAAKQCIBASNi/X/rhBxMGv/9e2rw5//GcASU5PYStW5uQCJyMAAhAIgACIWn7dn8Y/OEHM8AkL7fbTEjdpYtpjRszoAQGARCARAAEQp5lSevW%2BcPgjz9KXm/%2B18TH%2BweTdOliBpjAmQiAACQCIBB2srKkFSv8l4z/8x8pLS3/a%2BrV8wfCzp2lypXtqRUljwAIQCIAAmEvPV366Sf/JeNly0xIzKtZM/%2BAkg4dpJgYe2pF4BEAAUgEQMBxfD5pwQLTQzh37qkrlJQuLbVtm3%2BEcWSkPbWi%2BBEAAUgEQMDxUlLMfYM5PYRbtuQ/Hh0tXXmlPxA2a8aSdaGMAAhAIgACOMnWrflHGKek5D8eF%2Bdfsq5rV6lOHXvqROF4PB55PB5lZWVp48aNBEDA4QiAAM4oO1tavdqEwblzpfnzzSTVedWta4Jgt24mGFaqZE%2BtKBh6AAFIBEAAhZCRIS1d6g%2BES5dKJ074j7tcUqtWUvfuJhRefjkrlAQbAiAAiQAI4Dykpkrz5vnXMF67Nv/xcuXM/YNdu5pQeMklTEhtNwIgAIkACKAY7d5tguCcOaaXcM%2Be/MerVjWXirt3N9v4eHvqdDICIACJAAggQCxLWrPGhME5c8z9g8eO5X9Ns2YmDHbvbuYf5HJx4BEAAUgEQAAlJD1dWrxYmj3btJ9/zn8853Lx1VebxvrFgUEABCARAAHYZP9%2B0zOYEwh3785/vEYNfxjs2lWqWNGeOsMNARCARAAEEARyLhfPni3NmmUuF6en%2B4%2BXKmVWJLnmGtNat2Yy6qIiAAKQCIAAgtCxY9LChdJ335lAuG5d/uNxcaZn8NprzTYuzp46QxEBEIBEAAQQArZvN0Hwu%2B/MKOPUVP8xl0tKSpKuu84EwjZt6B08GwIgAIkACCDEZGaawSQzZ5r266/5j1eubC4TX3ed6R3k3sH8CIAAJAIggBC3e7cJgt9%2BawaV5O0djIgwq5H06GFakyaMLCYAApAIgADCSEaG6R2cMcMEwpNXJqlVS7r%2BetOuusqZ8w4SAAFIBEAAYWzbNhMEZ8yQfvhBSkvzH4uONtPL9OxpegcTEmwrs0QRAAFIBEAADnHsmAmB33xj2q5d%2BY8nJUm9eplA2KxZ%2BF4qJgACkAiAABzIsqTkZBMEv/5aWr48//FatUwYvOEGszpJZKQ9dQYCARCARAAEAO3ZYy4TT59uppk5ftx/zO0208vccIPZut321VkcCIAAJAIgAORz7JgJgV9/bdq%2Bff5jZcpInTtLvXubHsJq1eyrs7A8Ho88Ho%2BysrK0ceNGAiDgcARAADiD7Gxp6VLpyy%2Blr76SNmzIf/zSS6UbbzStQQN7aiwsegABSARAACiw9etNEPzyS2nJkvzHmjY1QfCmm6TmzYN3EAkBEIBEAASAItm924TBqVOlefOkEyf8x%2BrVM0Hw5pultm2DKwwSAAFIBEAAOG%2BHDpn7BadNM%2BsV551vsEYNEwRvucWsSmL3OsUEQAASARAAitWRI2Zpui%2B%2BMCOLjxzxH6tWzfQM3nqr1L69WaqupBEAAUgEQAAImLQ0afZs6fPPzRQzXq//WEKC6Rns08eEwZLqGSQAApAIgABQItLTzfQyn31mBpHkDYPVqplewdtuMyOLA3nPIAEQgEQABIASl5EhzZkjffqpGUiSNwzWqmV6Bfv2lVq2LP4wSAAEIBEAAcBW6enmMvEnn5gwmPeewQYNTBDs21dq1Kh4fh4BEIBEAASAoHH8uPTtt9KUKWad4ryjiVu0kPr1M2GwRo2i/wwCIACJAAgAQSk11QwcmTxZmjXLP8%2BgyyVdeaV0xx1mapmKFQv3uQRAABIBEACC3oEDZvDIxx9LCxf690dGSj16SHfeabZRUef%2BLAIgAEkqbXcBAICzu/BCaeBAqUqVqZKmasWKBjp27EZlZDTTtGlmAuoLLjAjifv3N9PKnHbwyKJFpknS4cMSARBwLJvnpAcAFNTRo0fVtevFeuON6pKa65NP1mvYMKl6dZPnxo%2BXOnSQ6teXRo6UNm/%2B843btkmtW0tXXCE99ZTZ16iR9PLL9vwiAGzHJWAACDHbtm1TnTp1tHLlSrVo0UJZWdL8%2BdKHH5oVSPKOJO50eYa%2B/K2J3Cm/SZJ8ktySvJJiJemDD6S77y7x3wGAvegBBIAQFxEhde5sstzevdJHH0ndu5vVRRIWf54b/k7rpZdKrE4AwYMACABhpHx5M0J41izp99%2BlYa3nnP0N69ZJu3aVTHEAggYBEACC0KRJk1ShQoXctjDv8N8Cql5dyrJ%2BPefrPptWWsePF6VKAKGKAAgAQahXr15KTk7ObW3atCnS5zR75pmzHl%2BmJPUZUlUJCdKgQdKKFRJ3hgPhjwAIAEEoJiZG9evXz23lypUr0ueUufFG6Qzh0XK5tKXfX3XRRWY94rFjzUtbtZI8HjOyGEB4IgACQIg4ePCgkpOTtXbtWknShg0blJycrL179575TaVKmRsCe/c2j3MkJMg1aZJun9RTmzdLc%2BdKt99uJpdOTpYeeUSqVk0aMEBavJheQSDcMA0MAISIDz74QPfcc88p%2B0eMGKGRI0ee%2BwO2bZPvp5/k7tdP3gMHFFup0ikvOXDAjCIeP15as8a/v2lT6cEHpbvuMpNOAwhtBEAAcJCCLgVnWdJPP0nvvit9%2BqlyB4mUK2d6CgcOlJKSzrDiCICgRwAEAAcpylrAhw%2BbXsF33pFWr/bvb9XKBMF%2B/cz0MwBCBwEQABykKAEwh2WZ%2BwHHjZM%2B%2B0xKTzf73W6zmMigQVLDhgEoGkCxIwACgIOcTwDM68ABacIEEwZz1xyW1LWrNHiwdP31UunSxVAwgIAgAAKAgxRXAMyRnS3NmWOmjZkxwzyXpJo1TY/g/fdLcXHn/WMAFDMCIAA4SHEHwLy2bTM9gu%2B9Z3oIJSkqSurbV3r0Ually2L9cQDOAwEQABwkkAEwR1qa9Mkn0ltvmZVFcnToYIJg795cHgbsRgAEAAcpiQCYw7KkJUukN9%2BUPv9cOnHC7K9Vy0w0ff/9UsWKAS0BwBkQAAHAQUoyAOa1e7f09ttmKpn9%2B82%2B8uXNSiNDh0oNGpRYKQBEAAQAR7ErAOZIS5M%2B/lh6/XVp1Sqzz%2BWSevaUHn9cuvJKJpcGSgJrAQMASkzZstK990q//GLWH%2B7Rw1wqnj5d6tTJrC4yebL/cjGAwCAAAgBKnMsldekiffONtG6d9NBDJhyuWGFWFqlXT/rXv6TUVLsrBcITl4ABwEHsvgR8Nvv3m/sEPR4pJcXsc7ulhx82o4cTEuytDwgn9AACgAN4PB4lJiYqKSnJ7lLOKC5O%2BtvfpO3bzWCRiy%2BWvF5p9GjpooukBx%2BUNm60u0ogPNADCAAOEsw9gCfLzjb3Br78slmDWDKXjm%2B8URo%2B3NwvCKBo6AEEAASlUqXMpNGLFkkLF5qRwpYlTZ0qtW1r1h3%2B/nuzD0DhEAABAEHviitMb%2BDq1VL//lJEhAl/XbtKl14qffWVfx1iAOdGAAQAhIwmTaSJE6XNm81qImXLSsuWmZ7C5s3NFDJZWXZXCQQ/AiAAIOTUrm3WGt6%2BXXr6aSkmxvQO9usnNW4sTZggZWbaXSUQvBgEAgAOEkqDQArj8GETCN94QzpwwOy76CIzWGTAACkqys7qgOBDAAQABwnXAJjjyBFp7Fjp1VelffvMvho1TC/hffcRBIEcXAIGAISNChWkJ5%2BUtmwx6w1Xqybt3CkNHmxWFxkzxqxHDDgdARAAEHaio6WhQ81gkTFjTC/grl3SkCFS/fpmxZH0dLurBOxDAAQAhK2yZU3v32%2B/mSXmcoLg4MFSgwZmxZGMDLurBEoeARAAEPaioqRBg0wQHDPGXBresUMaOFBq2NCMGj5xwu4qgZJDAAQAOEZUlOn927zZ3CMYHy9t2ybde6%2BUmGjmEWRCaTgBARAA4Dhly/rvEXz5ZSkuTtq0ycwj2KKFWVmEOTIQzgiAAADHio6WnnjCjBr%2B%2B98lt1tatcqsLHLZZdIPP9hdIRAYBEAAgOPFxEjPPmuC4PDhJhguXSp16SJ16yatWGF3hUDxIgACAPCnSpWkUaPMpeHBg6UyZaS5c6U2baQ%2BfcxlYiAcEAABADhJfLwZLbxhg3TnnZLLJX32mVln%2BOGHpb177a4QOD8EQABwAI/Ho8TERCUlJdldSkipU0f697%2Bl5GSpRw8pK0saN86sKjJihJSaaneFQNGwFjAAOEi4rwUcaAsWSMOGmfsDJalKFRMEH3jAXC4GQgU9gAAAFNCVV0o//WQuBzdoIKWkmHsFL7mEqWMQWgiAAAAUgssl3XKLtGaN9NZbZg7BDRvM1DGdOjFiGKGBAAgAQBGUKSM98ogZMfz002Zy6QULzIjh/v2lnTvtrhA4MwIgAADnITZWevFFaeNGM2JYMgNHLr5Y%2BtvfpCNH7K0POB0CIAAAxaBmTRP8li%2BXOnSQjh83q4tcfLH04YesMYzgQgAEAKAYtWkjzZ8vff65mUZmzx7p7rulSy%2BVFi%2B2uzrAIAACAFDMXC7p5puldeuk0aPNUnPLl0vt20t33MH9gbAfARAAgACJipKeesrcH3jffSYYfvyx1LCh9MILUlqa3RXCqQiAAAAEWHy89N570n//a3oBjx2Tnn1WatKE%2BQNhDwIgAAAlpFUraeFCadIkqXp1acsWM3/gddeZXkKgpBAAAQAoQS6X1K%2BftH69NHy4FBkpffed1LSpmU/w6FG7K4QTEAABALBBhQrSqFHS6tXStddKmZlmwEijRmYEMZeFEUgEQAAAbNSggTRjhrkX8KKLzAjhW2%2BVrr5a2rTJ7uoQrgiAAADYzOWSevWS1q6V/vpXc1l4zhxzWfhvfzOTSgPFiQAIAECQKFdOev55ac0a0wOYkWFWE2na1NwnCBQXAiAAOIDH41FiYqKSkpLsLgUFUL%2B%2BNHOm9Nln/tHC114r9ekj7d5td3UIBy7L4jZTAHAKn88nt9str9er2NhYu8tBAaSmSiNHSm%2B8IWVlmVVFXnxRevhhKSLC7uoQqugBBAAgiMXESK%2B%2BKq1YIbVrZwLhkCHSZZdJycl2V4dQRQAEACAENG8uLVokvf22FBtr1hZu00YaNsysLAIUBgEQAIAQERFhLv2uX2%2BmisnKkl5%2B2QwSmT3b7uoQSgiAAACEmIQE6dNPpa%2B/lmrWlLZuNaOG%2B/eXDhywuzqEAgIgAAAh6vrrzZQxjz5q5hL897%2Blxo2lyZNZSQRnRwAEACCExcSYEcKLF5tLwX/8YdYa7tXLrCoCnA4BEACAMHDppWak8HPPSWXKSN98IzVpIr37Lr2BOBUBEACAMBEZaZaOW7nSTBnj80kPPSR17WruEwRyEAABAAgzTZqYKWNee80sL/fDD9Ill0hjxkjZ2XZXh2BAAAQAIAxFREj/8z/Sr79KHTtKR4%2BaCaSvukravNnu6mA3AiAAAGGsfn3TAzhmjFS%2BvLRggdSsGb2BTkcABAAgzJUqJQ0eLK1aJXXqZFYOGTJE6tKFewOdigAIAIBD1Kkjff%2B96f2LjpbmzTO9gYwUdh4CIAAADpLTG/jrr1KHDtKRI2akcI8e0u7ddleHkkIABADAgerVk378UXr1VSkqSpo500wkPXmy3ZWhJBAAAQBwqIgI6fHHzbyBrVtLhw6ZVURuv106eNDu6hBIBEAAcACPx6PExEQlJSXZXQqCUOPG0k8/SSNGmFD4ySdm3sDZs%2B2uDIHisixu%2BwQAp/D5fHK73fJ6vYqNjbW7HASh5culu%2B6SNmwwzx99VBo92kwojfBBDyAAAMiVlCT9/LMZKCJJb74ptWkjJSfbWxeKFwEQAADkEx1tpoqZOVOKj5fWrpXatpVefpnJo8MFARAAAJzWNdeYyaN795YyM6Vhw6Ru3aSdO%2B2uDOeLAAgAAM4oLk6aOlUaP970DP7wg9S8udmH0EUABAAAZ%2BVySfffb6aLadPGTBFz881mAuljx%2ByuDkVBAAQAAAVy8cXSokXSU0%2BZUPjuuyYQ/vKL3ZWhsAiAAACgwCIjzbQwc%2BZICQnSunVmgMhbb7GecCghAAIAgELr0sWsJ9yzp5SRYeYL7N1bOnDA7spQEARAAABQJHFx0ldfmbkCIyOl6dPNAJGFC%2B2uDOdCAAQAAEXmcklDhkhLl5p7BHftkjp1kv7xDykry%2B7qcCYEQAAAcN5atJD%2B%2B1%2BzjFx2tvTXv5p5BPfutbsynA4BEAAAFIuYGOnDD6UJE8ycgXPnSi1bmrkDEVwIgABgg6lTp%2Brqq69WXFycXC6Xkguw0OoHH3wgl8t1SktLSyuBioGCGzDA9AY2bWp6ALt2lZ5/nkvCwYQACAA2OHr0qNq3b6/Ro0cX6n2xsbHas2dPvla2bNkAVQkUXePG5r7Ae%2B8108OMGGEuCaek2F0ZJKm03QUAgBPdddddkqRt27YV6n0ul0vx8fEBqAgoftHR0vvvSx07Sg8/bC4Jt2ghffKJ1KGD3dU5Gz2AABBCjhw5otq1a6tGjRq6/vrrtXLlyrO%2BPj09XT6fL18DSlr//tKyZaZXcM8e6aqrpFdeYeJoOxEAASBENGrUSB988IGmT5%2BuyZMnq2zZsmrfvr02bdp0xveMGjVKbrc7t9WsWbMEKwb8mjQxIfCOO8y9gE8%2BKd10k%2BT12l2ZM7ksi/wNAIE0adIkPfTQQ7nPZ86cqQ5/Xv/atm2b6tSpo5UrV6pFixaF%2Btzs7Gy1atVKV155pd58883TviY9PV3p6em5z30%2Bn2rWrCmv16vY2Ngi/DbA%2BbEs6Z13pKFDzQoi9epJX3xhJpBGyeEeQAAIsF69eqldu3a5z6tXr14sn1uqVCklJSWdtQcwKipKUVFRxfLzgOLgckkDB0qtW0u33ipt3ixddpk0bpy5VIySwSVgAAiwmJgY1a9fP7eVK1euWD7XsiwlJycrISGhWD4PKElJSdKKFWZk8PHj0t13S4MGSXk6rBFABEAAsMHBgweVnJystWvXSpI2bNig5ORk7c2zbEL//v319NNP5z5/7rnnNGvWLG3ZskXJycm67777lJycrIEDB5Z4/UBxuPBCacYMM0WMyyWNHWtGDO/caXdl4Y8ACAA2mD59ulq2bKkePXpIkm6//Xa1bNlS48aNy33N77//rj179uQ%2BP3z4sB588EE1btxY3bt3165du7RgwQK1bdu2xOsHikupUtLIkdI330gXXGDmDmzdWpo/3%2B7KwhuDQADAQXw%2Bn9xuN4NAEJS2bDEjg3/5RYqIkF59VXr0UdM7iOJFDyAAAAgKdetKixdLd95ppop57DHprrukY8fsriz8EAABAEDQiI6WPvxQev110ws4aZLUvr1UyEVzcA4EQAAAEFRcLjNP4PffS5UrS8nJUps20o8/2l1Z%2BCAAAgCAoNSxo/Tf/5pBIQcOSN26SW%2B%2ByRJyxYEACAAAglatWtLChf77AocOle67j/kCzxcBEAAABLVy5cx9ga%2B%2BaqaNmTBB6tRJyjNLEgqJAAgAAIKeyyU9/rj03XdmvsAlS8xqIv/9r92VhSYCIAAACBnduknLlkmNG0u7dkkdOkhTpthdVeghAAIAgJDSoIHpAezRQ0pLk/r2lZ59VsrOtruy0EEABAAAISc2VvrqK%2BnJJ83zF16Qbr1VOnrU3rpCBQEQAACEpIgI6Z//lCZOlCIjpalTzdQxmZl2Vxb8CIAA4AAej0eJiYlKSkqyuxSg2PXvbyaJrlJFuuMOqUwZuysKfi7LYjpFAHAKn88nt9str9er2NhYu8sBitX%2B/dKFF5oRwzi70nYXAAAAUBzi4uyuIHRwCRgAAMBhCIAAAAAOQwAEAABwGAIgAACAwxAAAQAAHIYACAAA4DAEQAAAAIchAAIAADgMARAAAMBhCIAAAAAOQwAEAABwGAIgAACAwxAAAQAAHIYACAAA4DAEQAAAAIchAAKAA3g8HiUmJiopKcnuUgAEAZdlWZbdRQAASobP55Pb7ZbX61VsbKzd5QCwCT2AAAAADkMABAAAcBgCIAAAgMMQAAEAAByGAAgAAOAwBEAAAACHIQACAAA4DAEQAADAYQiAAAAADkMABAAAcBgCIAAAgMMQAAEAAByGAAgAAOAwBEAAAACHIQACAAA4DAEQAADAYQiAAOAAHo9HiYmJSkpKsrsUAEHAZVmWZXcRAICS4fP55Ha75fV6FRsba3c5AGxCAAQAB7EsS6mpqYqJiZHL5bK7HAA2IQACAAA4DPcAAgAAOAwBEAAAwGEIgAAAAA5DAAQAAHAYAiAAAIDDEAABAAAchgAIAADgMARAAAAAhyEAAgAAOAwBEAAAwGEIgAAAAA5DAAQAAHAYAiAAAIDDEAABAAAchgAIAADgMARAAAAAhyEAAgAAOAwBEAAAwGEIgAAAAA5DAAQAAHAYAiAAAIDDEAABAAAchgAIAADgMARAAAAAhyEAAgAAOAwBEAAAwGEIgAAAAA5DAAQAAHAYAiAAAIDDEAABAAAchgAIAADgMARAAAAAhyEAAgAAOAwBEAAAwGEIgAAAAA5DAAQAAHAYAiAAAIDDEAABAAAchgAIAADgMARAAAAAhyEAAgAAOAwBEAAAwGEIgAAAAA5DAAQAAHAYAiAAAIDDEAABAAAchgAIAADgMARAAAAAhyEAAgAAOAwBEAAAwGH%2BHwPk1tefQIZcAAAAAElFTkSuQmCC'}