-
g2c_curves • Show schema
{'Lhash': '641604867513186077', 'abs_disc': 734832, 'analytic_rank': 0, 'analytic_rank_proved': True, 'analytic_sha': 1, 'aut_grp_id': '[2,1]', 'aut_grp_label': '2.1', 'aut_grp_tex': 'C_2', 'bad_lfactors': '[[2,[1,2,1]],[3,[1]],[7,[1,2,8,7]]]', 'bad_primes': [2, 3, 7], 'class': '20412.b', 'cond': 20412, 'disc_sign': 1, 'end_alg': 'Q x Q', 'eqn': '[[14,0,11,7,2,3,1],[0,1,1]]', 'g2_inv': "['-62291820293928125/3024','5022740131625/2268','553449850/5103']", 'geom_aut_grp_id': '[2,1]', 'geom_aut_grp_label': '2.1', 'geom_aut_grp_tex': 'C_2', 'geom_end_alg': 'Q x Q', 'globally_solvable': 1, 'has_square_sha': True, 'hasse_weil_proved': True, 'igusa_clebsch_inv': "['9140','5234697','11956156581','-387072']", 'igusa_inv': "['6855','-5052','-1696','-9287196','-734832']", 'is_gl2_type': True, 'is_simple_base': False, 'is_simple_geom': False, 'label': '20412.b.734832.1', 'leading_coeff': {'__RealLiteral__': 0, 'data': '0.532608739067351594140624717111231364157197502830716484', 'prec': 187}, 'locally_solvable': True, 'modell_images': ['2.20.2', '3.720.4'], 'mw_rank': 0, 'mw_rank_proved': True, 'non_solvable_places': [], 'num_rat_pts': 2, 'num_rat_wpts': 0, 'real_geom_end_alg': 'R x R', 'real_period': {'__RealLiteral__': 0, 'data': '4.7934786516061643472656224540', 'prec': 100}, 'regulator': {'__RealLiteral__': 0, 'data': '1.0', 'prec': 10}, 'root_number': 1, 'st_group': 'SU(2)xSU(2)', 'st_label': '1.4.B.1.1a', 'st_label_components': [1, 4, 1, 1, 1, 0], 'tamagawa_product': 1, 'torsion_order': 3, 'torsion_subgroup': '[3]', 'two_selmer_rank': 0, 'two_torsion_field': ['6.2.28449792.1', [2, -10, 1, 0, 2, -2, 1], [6, 9], False]} -
g2c_endomorphisms • Show schema
{'factorsQQ_base': [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], 'factorsQQ_geom': [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], 'factorsRR_base': ['RR', 'RR'], 'factorsRR_geom': ['RR', 'RR'], 'fod_coeffs': [0, 1], 'fod_label': '1.1.1.1', 'is_simple_base': False, 'is_simple_geom': False, 'label': '20412.b.734832.1', 'lattice': [[['1.1.1.1', [0, 1], [0]], [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], ['RR', 'RR'], [7, -1], 'G_{3,3}']], 'ring_base': [7, -1], 'ring_geom': [7, -1], 'spl_facs_coeffs': [[['367353/16'], ['-225533133/64']], [['-50802759/16'], ['148486567635/64']]], 'spl_facs_condnorms': [54, 378], 'spl_facs_labels': ['54.a2', '378.a1'], 'spl_fod_coeffs': [0, 1], 'spl_fod_gen': [0], 'spl_fod_label': '1.1.1.1', 'st_group_base': 'G_{3,3}', 'st_group_geom': 'G_{3,3}'} -
g2c_ratpts • Show schema
{'label': '20412.b.734832.1', 'mw_gens': [[[[1, 1], [0, 1], [0, 1]], [[0, 1], [0, 1], [1, 1], [1, 1]]]], 'mw_gens_v': True, 'mw_heights': [], 'mw_invs': [3], 'num_rat_pts': 2, 'rat_pts': [[1, -1, 0], [1, 1, 0]], 'rat_pts_v': True} - g2c_galrep • Show schema
-
g2c_tamagawa • Show schema
-
id: 38224
{'label': '20412.b.734832.1', 'local_root_number': 1, 'p': 2, 'tamagawa_number': 1} -
id: 38225
{'cluster_label': 'cc3_1~2c3_5~6_0', 'label': '20412.b.734832.1', 'local_root_number': 1, 'p': 3, 'tamagawa_number': 1} -
id: 38226
{'cluster_label': 'c4c2_1~2_0', 'label': '20412.b.734832.1', 'local_root_number': 1, 'p': 7, 'tamagawa_number': 1}
-
id: 38224
-
g2c_plots • Show schema
{'label': '20412.b.734832.1', 'plot': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3XmcjXX/x/H3McwMY%2BZYM/YWWyNJDEX7QhuiIlFKuttUKi1atWnfTQsVFe1Rd3tURNyRpZRCImQXs5DZXL8/Pr9jyDbDzPmec67X8/G4HueamTNnPpdx5rzPdw14nucJAAAAvlHOdQEAAAAILwIgAACAzxAAAQAAfIYACAAA4DMEQAAAAJ8hAAIAAPgMARAAAMBnCIAAAAA%2BQwAEAADwGQIgAACAzxAAAQAAfIYACAAA4DMEQAAAAJ8hAAIAAPgMARAAAMBnCIAAAAA%2BQwAEAADwGQIgAACAzxAAAQAAfIYACAAA4DMEQAAAAJ8hAAIAAPgMARAAAMBnCIAAAAA%2BQwAEAADwGQIgAACAzxAAAQAAfIYACAAA4DMEQAAAAJ8hAAIAAPgMARAAAMBnCIAAAAA%2BQwAEAADwGQIgAACAzxAAAQAAfIYACAAA4DMEQAAAAJ8hAAIAAPgMARAAAMBnCIAAAAA%2BQwAEAADwGQIgAACAzxAAAQAAfIYACAAA4DMEQAAAAJ8hAAIAAPgMARAAAMBnCIAAAAA%2BQwAEAADwGQIgAACAzxAAAQAAfIYACAAA4DMEQAAAAJ8hAAIAAPgMARAAAMBnCIAAAAA%2BQwAEAEQ8z/OUlZUlz/NclwLEBAIgACDiZWdnKxgMKjs723UpQEwgAAIAAPgMARAAAMBnCIAAAAA%2BQwAEAADwGQIgAACAzxAAAQAAfIYACAAA4DMEQAAAAJ8hAAIAIlZGRobS0tKUnp7uuhQgpgQ89tUBAES4rKwsBYNBZWZmKiUlxXU5QNSjBRAAAMBnCIAAAAA%2BQwAEAADwGQIgAACAzxAAAQAAfIYACAAA4DMEQAAAAJ8hAAIAAPgMARAAAMBnCIAAAAA%2BQwAEAADwGQIgAACAzxAAAQAAfIYACAAA4DMEQABAxMrIyFBaWprS09NdlwLElIDneZ7rIgAA2JOsrCwFg0FlZmYqJSXFdTlA1KMFEAAAwGcIgAAAAD5DAAQAAPAZAiAAAIDPEAABAAB8hgAIAADgMwRAAAAAnyEAAgCAqJebK/XvL/34o%2BtKogMBMEzy811XAABAbNqwQerYUXr5Zenssy0MYs8IgGXszz%2Blnj2lk06S2HMFAIDStXix1L699O23UkqK9NJLUkKC66oiHwGwjCUkSB9%2BKE2ZIk2a5LoaAABix7RpUrt20m%2B/SXXrSpMnSyef7Lqq6EAALGOpqVK/fnb%2B4INuawEAIFa88YZ04onS2rVSq1bS999Lhx/uuqroQQAMg5tukuLipC%2B/lGbOdF0NAADRa%2BtW6fbbpd69baxfly7W/Vu3ruvKogsBMAwOOkjq1cvOhw51WwsAANEqK8smeYReS2%2B5RRo7Vqpc2W1d0YgAGCaDB9vt2LHSvHluawGAaJGRkaG0tDSlp6e7LgWOzZ9v4/0%2B%2BsjG17/2mvTQQ9bDhpILeB5zU8Ole3dp3Dhrth492nU1ABA9srKyFAwGlZmZqZSUFNflIMzGjZP69pWys62rd9w4ifcE%2B4cWwDC6/Xa7ffNNadEit7UAABDp8vOlm2%2B2BpTsbOm442wsPeFv/xEAw6h1a%2Bn0020A60MPua4GAIDI9ddftqTLo4/ax9dfL02YINWq5bauWEEADLM77rDbUaOkpUudlgIAQET67DPpiCNsXb/kZOndd6UnnpAqVHBdWewgAIZZ%2B/a2K0hBAa2AAABsLy9PGjRIOuMMad06W99v1izp3HNdVxZ7CIAO3Hmn3b78sjVxAwDgd7/9Jh19tPT44/bxgAHS1KlSo0Zu64pVBEAHjj9eOvZYe6fz8MOuqwEAwB3Pk557TjrySGvtq1ZN%2BuAD6dlnpcRE19XFLgKgA4GAdPfddj58uLRypdt6AABwYfly6bTTpKuvlv75RzrlFGnuXKlrV9eVxT4CoCMnnWTjAXNzaQUEAPiL50kjR0qHHWbbpCYmSk8/LX3xhVSnjuvq/IGFoB0aP17q2NH%2B4//xh1S7tuuKACAysRB07Fi6VLr8cunzz%2B3jtm2lV1%2BVmjVzW5ff0ALo0CmnWCvgli20AgIAYlthofTMM1Lz5hb%2BEhJsNYzvviP8uUAAdCgQkIYMsfMXXpBWrHBaDgCUmSFDhigQCOxwpKamui4LYTJ7ts3wve46KSdHOuYYac4c6ZZbpPLlXVfnTwRAx045xZ4IubnSgw%2B6rgYAyk7z5s21cuXKbcfcuXNdl4QytnGjdO21Ups20owZUkqK9Pzz0qRJtPq5RgB0LBCQ7rnHzocPl5Ytc1sPAJSV8uXLKzU1ddtRs2ZN1yWhjGzdapM8mja15Vy2bpV69rS1/q64QipH%2BnCOX0EEOPFEWxswL0964AHX1QBA2Vi4cKHq1Kmjgw46SOeff77%2B%2BOOP3d43NzdXWVlZOxyIDt99J7VrJ/XrJ61ZYyFw/HjprbeY7BhJCIARIBCQ7r3Xzl95RVq82G09AFDa2rVrp9dee01ffPGFRowYoVWrVql9%2B/Zav379Lu//4IMPKhgMbjvq168f5opRUosWST162LCmH36wPXwffVT66Scb7oTIwjIwEaRjR3uXdPHF1nQOALFq06ZNOuSQQ3TzzTfrhhtu2Onrubm5ys3N3fZxVlaW6tevzzIwEWjNGun%2B%2B20yY36%2Bde/262efq1XLdXXYHVoAI8h999nta69J8%2Be7rQUAylJSUpJatGihhQsX7vLrCQkJSklJ2eFAZNm40fa2P/hgG%2BeXny916mSze0eMIPxFOgJgBGnXTurc2QbLhraKA4BYlJubq19//VW1GRQWdTZutGFLBx1krXybNknp6dKECba%2BX4sWritEcRAAI0yoFfDtt6Uff3RbCwCUlkGDBmnSpElavHixvv/%2Be5177rnKyspS3759XZeGYlq/XrrrLunAA62RYuNGW9T5/fel77%2BXTj7ZdYUoCQJghGnZ0qbKS9Idd7itBQBKy/Lly9WrVy81bdpU3bt3V3x8vP73v/%2BpYcOGrkvDXixdKl1/vdSwoTVSZGZKaWk2q/enn6Tu3W0yI6ILk0Ai0IIF9uQqLLTp9O3bu64IANxiL%2BDwmzlTevJJ65EqKLDPtWol3XabhT7W8otu/PoiUJMm0iWX2PngwRIRHQAQDvn50rvvSscea7t3jBlj4e/EE6XPPrNQeO65hL9YQAtghFq%2BXGrUyLaI%2B/RT6fTTXVcEAO7QAli2li2TXnrJZu%2BuXGmfK1/ehiRdf73UurXb%2BlD6yPARql49acAAOx882GYGAwBQWvLybALHmWfaxI5777XwV6uWLe/y55/S6NGEv1hFC2AEW7/e1lfKyrInYe/erisCADdoASwdnmczdkePlt58U/r776KvnXCC7dPbrZsUH%2B%2BsRIQJATDCDR0q3X67rbf0669SQoLrioDIVVgorV0rrV5tuxOsW2fH33/bkhUbN9oMxpwcOzZtkjZvlrZssSMvz46CAnusf/91DASkuDjrGitf3l4kExLsSEyUKlaUKlWSkpKkypXtSE6WUlLsqFKl6KhaVapWzY6qVRlTtTcEwH3nedLPP9tkjrfesi3bQurUkS66yHbuaNzYXY0IPwJghNu82cYCrlwpPfWUdN11risC3PnnH3vx%2BuMP2zN7yRJbomL5cjtWr7bgFm3KlbMQWLNm0XHAAdYVFzpSU%2B2oXduCpt8QAEtm61bbj/eDD6ybd8GCoq9VqiSdfbYFv1NOsTc18B8CYBQYPly6/HKpenV78QsGXVcElK0NG6S5c63VYt486bffbHvE5cv3/r2BQFGAqlnTnjehVrYqVYpa4ypXthfCSpUsUCUmWotehQp2xMVZMAutb%2BZ59qJaWGgthPn5duTmFrUg/vOPvWnbtKmolTE724ZxZGbaEWqJ/PtvO3JySv7vEwxaEKxb11pwQrf16tlRt66Fxlh6YScA7l12tvT119Inn9ixYkXR1xISpNNOs0kdXbpYKzX8jQAYBQoKbGud336zCSFDh7quCCg9q1ZJM2bY8hKzZkmzZ%2B856AWD1ip%2B0EG2MG3DhlL9%2BhZ86tSx4Fe%2BfPjq3195eTbeN9RdvXatdV%2BHurJDx8qV9m%2B1ZUvxHrd8%2BaJQWL/%2BjkeDBnbUqBE9C/gSAHdWWGjPm6%2B%2BksaPl6ZMsTclIZUr2woS3brZRA/%2B2bA9AmCU%2BPBDa7JPTJQWLrQ/6kC0KSiwLQ6nTJGmTpWmTbPlJ3alYUPpsMNsUfRDD5WaNrU1MqtXj57QUto8z1oRV6601p3Q8ddfdixfbrcrVxZv5YDExB0D4b%2BP%2BvUjp7uZAGitzbNm2fNn0iRp8mRrXd7ewQdLZ5whnXWWTepg3Dh2hwAYJTxPOv54e8JffLE0cqTrioC927pVmjPHWii%2B%2BcZeuLKzd7xPIGABLz1dOvJI22ng8MMZ6rA/CgqstXD5cgvY/z6WLrWvF0fNmjsGwn%2Bfl3VXc0ZGhjIyMlRYWKgFCxb4JgBu3WpDfn74wVrIv//eWvtyc3e8XzBoizSfcorUsaO1jvv1DRJKhgAYRaZPl9q1syf3rFnSEUe4rgjY2erV0uef264BEyZY9%2Bb2gkGpQwfb4vDooy34JSe7qdXPcnOttfDPP4tC4b%2BPTZv2/jihruZQN3zotm7doqN2bRtXuT9iuQVw40Zb5WHuXDt%2B/NGOf7fuSdZt36GDdNxxdrRqFVtjPRE%2BBMAoc/75NpX/5JNtzAfv9OCa59lEjQ8%2BkP77X3ujsr3kZGu9Pukk65I6/HBesKKB59lknO0D4fZBcdky634uzqzrQMDGZtapY2EwdBua2Zyaai2JBxxg49Z29XctmgNg6N9yyRKbvb5okfT77zYzd8GCop03/i0hQWrZ0t4ktWsnHXUULXwoPQTAKLN4sdSsmQ0c//hjG9gLhJvnWdfuu%2B9K771n41K3d%2BSRNg6pUyd74drf1h9EplBXc6hrObQcT2gs4vLlFhILCor/mImJRTO4a9Swo3p1KSkpSw8%2BGNSIEZmqWzdFVapYa3IwaG8yKlcO71qKW7facIYNG6yVe/36ogk8q1bZsWJFUTf83lpT69SxMa8tWljoa9nShkbw3EFZIQBGoZtvlh591ILgTz/xBwLhs3ChbQ7/5ps7riuWkGBjkLp2tTcldeq4qxGRZetWC0bbT1pZtcpavUIzm0MznTdv3tMjZUkKSsqUtOsWwNAC3ElJRUv8JCYWLdYdWuYnLm7HZX4CAavT84qW%2BQktCp6ba8v7/POPhbjsbDtycnZeKHxvDjjAZq8ffLC15DVubJObmjVjhi7CjwAYhTZutD8e69dLw4ZJV1/tuiLEso0bbfeAV1%2BV/ve/os8nJlor33nnWehjHB/216ZNFgTXri06QkvkrFqVpVdfDeq44zKVnZ2ybVeXzEy3i38nJto6k9WrW2vl9gt3h9ZoDC2/EykzqgGJABi1nn9euuoq%2B6OzcKEtcguUFs%2BzGbvDh1sXb2jtubg46dRTbV/qrl0JfQif3Y0B9DxrnQu1yuXkFC3G/c8/9n83N9eOvDxbJy/Uyhdq9ZOsFbBcuaKt/ipUKNrqL7TFX6VK1sIYWkw8GLQACEQjAmCUKiiwMSLz5kkDB0pPPum6IsSCrCzptdfsDca8eUWfb95cuuQSC36pqe7qg39F8yQQIBIRAKPYl1/aIPvy5W3LrKZNXVeEaLVokfT009KoUUXr9FWqJPXqJV12mdS2LTMP4RYBEChdYZwzhdLWsaONvSookG64wXU1iEZTp9o2UY0bS88%2Ba%2BGvWTM7X7FCeumlorUnAQCxgxbAKLdggS0dkJ8vffqp7fsI7Inn2SLNDz5o4/xCTj/dhhOceiqBD5GHFkCgdNECGOWaNJGuvdbOBw60Qc7ArmzdKo0bJ7VubS3HU6bYIPd%2B/Wy836efWqsy4Q8AYh8BMAbceaetL7VggfTMM66rQaTxPNul48gjpe7dpdmzbZ20G2%2B0hcVfftkWnAUA%2BAcBMAYEg9JDD9n5vffuflsh%2BM%2BECTaGr1s321s0OVm6/Xbb//Wxx1iwGQD8igAYI/r2tZma2dnSLbe4rgauzZplO3Oceqo0Y4a1%2BN12m%2B1Fev/9tn4kAMC/CIAxolw52xUkEJBef33Hwf3wj2XLpIsusnF%2BX31lY/yuu0764w/pgQdsxwIAAAiAMSQ9Xbr0UjsfMKBkG7Ajum3eLN1zj60F%2Bfrr9rkLLpDmz5eeesrGiALRKCMjQ2lpaUpPT3ddChBTWAYmxqxbZzODN2ywCSHXXOO6IpQlz5PGjrV1IJcutc8dc4z0xBP2hgCIFSwDA5QuWgBjTI0a0tChdn7HHdKqVW7rQdlZuFA67TTp3HMt/DVoIL39tvTtt4Q/AMCeEQBj0GWXSW3a2L6ugwa5rgalLTfXZnu3aGHbAcbHW9j/9VepRw/W8QMA7B1dwDHqhx9sVrDnSV9/LZ14ouuKUBqmTpX697ewJ9nCzcOG2VZuQCyjCxgoXbQAxqg2baQrr7TzK6%2B0ViNEr02bbMeXY46x8HfAAdIbb0iff074AwCUHAEwhj3wgFSrls0EffRR19VgX02aZN29zz5rLbqXXGIhsFcvunsBAPuGABjDqlSx2aCSLf77%2B%2B9u60HJ/POPze494QTbsq1BA%2BmLL6RXXmE9PwDA/iEAxrhevWw3iNxc6wpmxGd0mD3bFnN%2B8kn7uH9/ae5cG/MHAMD%2BIgDGuEBAeu45KTHR9oUdPdp1RdiTrVutu75dO%2BvmTU2VPvlEGjFCYtw7AKC0EAB9oFEj6c477fyGG2yxaESeVatsXb%2Bbb5by86Vu3azV74wzXFcGAIg1BECfGDRIOuwwC3833OC6GvzbhAlSy5bS%2BPFSxYrSiy9K779vC3sDAFDaCIA%2BER8vvfSSdQm//rotIAz3Cgulu%2B%2B2sX1r1ths35kzpf/8hxm%2BAICyQwD0kXbtivYGvvxyKSfHbT1%2Bt3atdPrptquH59kOLt9/Lx16qOvKAACxjgDoMw88IDVsKC1ZIt1%2Bu%2Btq/Gv6dOnII63Lt1Ilm5wzfLh1/wIAUNYIgD5TubKNL5NsYeGpU93W40evvCIde6y0fLnUpImFwd69XVcFAPATAqAPdeokXXyxdTteeqm0ZYvrivwhP9%2B64C%2B9VMrLk84%2BW5oxQ2re3HVlQOTKyMhQWlqa0tPTXZcCxJSA57E0sB9t2CClpdnSIzffLD38sOuKYtvff0vnnSd9/bV9fO%2B91gVfjrdgQLFkZWUpGAwqMzNTKSyKCew3Xn58qmpV6YUX7Pyxx6wbEmVj/nybgPP119YF/8EHti4j4Q8A4AovQT7Wtat0wQW2%2B8TFF9MVXBa%2B/lo66ijbh/nAA23MZdeurqsCAPgdAdDnnnnGthv79VfprrtcVxNbXn3Vxltu3Ci1b29LvLRo4boqAAAIgL5XvXrRrODHHpO%2B%2B85tPbHA86R77rFW1YIC6fzzpa%2B%2Bkg44wHVlAAAYAiDUpYvUt68Fl759pU2bXFcUvQoKbBePIUPs48GDpTFjpMREp2UBALADAiAkSU8/LdWvLy1aJN10k%2BtqotPmzVK3brblXrly0vPPS0OHMtkDABB5eGmCJCkYlEaOtPPnn5c%2B/9xtPdFmwwbbz/fjj621b%2BxY6YorXFcFAMCuEQCxzcknF%2B0V3K%2BftG6d23qixapV0gkn2PjJKlVsezdm%2BgIAIhkBEDt4%2BGHp0EOllSulyy%2B3cYHYvT//tG3dfvrJZlNPmiQdc4zrqgAA2DMCIHZQsaI0erRUoYJ1Y44a5bqiyLVwoYW/0Bp/U6ZIhx/uuioAAPaOAIidHHmkbVUmWZfw77%2B7rScSzZsnHXectGyZ1LSpNHmydMghrqsCAKB4CIDYpZtuko4/3paE6d1bys93XVHkmDvX/m1WrbKFnb/9VqpXz3VVAAAUHwEQuxQXJ73%2Buk1qmD6dXUJCfvxROvFEmyDTurU0cSILPAMAog8BELtVv76taSfZ5JCvvnJbj2s//WQzpdevl9LTbbZvtWquqwIAoOQIgNijc86RLrvMZgP36SOtWeO6Ijd%2B%2BWXH8Pfll1LVqq6rAmJfRkaG0tLSlJ6e7roUIKYEPI%2BFPrBnmzdb6Jk3TzrtNOmTT/y1u8Vvv9mYvzVrpDZtrOWvShXXVQH%2BkpWVpWAwqMzMTKWkpLguB4h6PnoZx76qVEl6%2B23b4eLzz6XHHnNdUfj88Ye1/K1ZIx1xhPTFF4Q/AED0IwCiWA47THrmGTu/7TZp6lS39YTD8uXSSSdJK1ZIzZsz5g8AEDsIgCi2/v2lXr2kwkKpZ8/Y3ipu7Vrp1FNtp49GjSz81ajhuioAAEoHARDFFghIL74oNWlirWMXXSRt3eq6qtKXlSWdfrqN/atXT5owQapd23VVAACUHgIgSiQ5WXr3XRsP%2BNln0tChrisqXVu2SGefLc2caS1%2BEyZIDRu6rgoAgNJFAESJHX649Nxzdn733RaSYkFhoS118803FnQ//9y2eQMAINYQALFPLrlEuvRS6wLu1cv2xI1mnidde630/vtSfLz0wQe20wcAALGIAIh99uyzUqtWNhnk3HOl3FzXFe27hx6yVs1AQBo92mb/AgAQqwiA2GcVK1qLWdWqtl/wtde6rmjfjBljS9tI0lNPSeed57YeAADKGgEQ%2B%2BWgg6Q33rCWs%2BHDpREjXFdUMhMnWne2JA0aFL0hFgCAkiAAYr%2Bddpp0//12PmCANG2a23qK67ffpG7dpPx8a/V7%2BGHXFQEAEB4EQJSKwYOl7t2lvDy7/esv1xXt2bp10plnShs3SkcfLb36qr/2NwYA%2BBsveSgVgYA0apRtmbZqlYXALVtcV7VrublW3x9/WBf2hx/aeEYAAPyivOsCopnnecrOznZdRkQJzaCdPl26%2BGLbOSQQcF1VEc%2BTrrpKmjzZ1vp76y0pIcF2/wAQOXJzc5W73dICob%2B1WTxZUYqSk5MViKQXqTAKeJ7nuS4iWmVlZSkYDLouAwAA7IPMzEylpKS4LsMJWgD3Q3JysjIzM3f6fFZWlurXr69ly5YV%2Bz9Wenq6ZsyYUer3LavH3ts1Dh8u3XSTnb/5pnTGGWV3jcW974QJtl6h59m6f1deuef7R9Lvsax%2B51zj/tcSjdcYCX9D9nb/f7cArly5Um3bttW8efNUt27dsNURzseOxd/jv0XaNSYnJxf7sWMNAXA/BAKBPf4HTklJKfYLTlxcXJnct6wfe3fXeOONNsbu%2Beel/v2l774ruzqKc9/ff7edSzxPCgbf1803n1PsrulI%2BD2W5e9c4hr357Gj8Roj6W9ISe%2BfnJwc89foh99jpFyjX7t/JQJgxLj66qvL5L5l/di7EwhITz8tLVggffWV1LmzdMUVN5VJHXu7b06OdPbZNuP3qKOknj3XlNm4xLL6ty7L33lJcY3hue%2B%2B3D8S6uAa9//%2BkVAH1xj7GANYBkJjA2N5bEFxr3HDBltmZf58qU0bW3g5KSl8dXqedP750jvvSKmp0qxZUu3axftefo%2BxgWuMDcuXL9/WdVivXj3X5ZQJP/we/XCN0SJuyJAhQ1wXEYvi4uJ0wgknqHz52G1kLc41VqwonX66bbe2aJE0b54tuhyuNfeeekp64gmpfHnp00%2BltLSSfT%2B/x9jANUa/3NxcPfrooxo8eLCSwvkuMsxi/fco%2BeMaowEtgAiL776TTj7Z1uAbOFB68smy/5lTpkgnnCAVFkrPPmu7lACITrQcAaWLhaARFh062G4bkrXKnXNO2f68NWuknj0t/F1wgeTzoR4AAOyAAIiw6dlT%2Bs9/7HzsWOmWW8rm52zdKl14obRihXTooZG3GDUAAK4RABFWzz9fNA7vkUcsnJW2Rx6RvvzSxh%2B%2B%2B65UuXLp/wwAAKIZARBhVa6cNHOmVKuWfXzlldJnn5Xe4//vf9Kdd9r5sGG2NzEAANgRAbAMDBkyRM2aNVNSUpKqVq2qU045Rd9//73rskokPz9ft9xyi1q0aKGkpCTVqVNHF110kVasWLHH7xsyZIgCgcAOR2pq6g73SUyUfvrJloPxPKlLF/t4f2VlSb17SwUFtvTLJZfs%2B2Pt6/VHorFjx6pTp06qUaOGAoGA5syZs9fvGTVq1E6/x0AgoC1btoSh4tK1L9cfiTzP05AhQ1SnTh1VrFhRJ5xwgn755Zc9fk9xno8Ir%2Beee04HHXSQEhMT1bp1a02ePHm3942l5%2BG3336rzp07q06dOgoEAvrggw9cl%2BR7BMAy0KRJEw0bNkxz587VlClTdOCBB6pjx45au3at69KKbfPmzZo1a5buvPNOzZo1S2PHjtWCBQvUpUuXvX5v8%2BbNtXLlym3H3Llzd7rPAQdI06dLFSpYYDvqKBuztz8GDrTdRxo2lF54Yf/G/e3P9UeaTZs2qUOHDnrooYdK9H0pKSk7/B5XrlypxMTEMqqy7Ozr9UeaRx55RE888YSGDRumGTNmKDU1Vaeeeqqys7P3%2BH3FeT4iPN5%2B%2B20NHDhQt99%2Bu2bPnq1jjz1Wp59%2BupYuXbrb74ml52HLli01bNgw16UgxEOZy8zM9CR5EyZMcF3Kfpk%2Bfbonyfvzzz93e5%2B7777ba9myZbEfc8IEzwsEPE/yvOrVPS8nZ99q%2B%2Bgje4xAwPO%2B/XbfHmNvinP9kWzx4sWeJG/27Nl7ve/IkSO9YDAYhqrCpyTXH2m2bt3qpaameg899NC2z23ZssULBoPeCy%2B8sNvvK%2BnzMZKF/o5mZma6LmWftW3b1rviiit2%2BFyzZs28W2%2B9dZf3j8Xnoed5niRv3LhxrsvwPVoAy1heXp6GDx%2BuYDColi1bui5nv2RmZioQCKhKlSp7vN/ChQtVp04dHXTQQTr//PP1xx9/7Pa%2BJ58sjRxp5%2BvXS0ccYbN4S2LjxqLZxTfcIB17bMm%2Bv7iKe/2xIicnRw0bNlS9evV01llnafbs2a5L8q3Fixdr1apV6tix47bPJSQk6Pjjj9fUqVP3%2BL0leT6SkiPDAAAgAElEQVSi7OTl5WnmzJk7/A4lqWPHjnv8HfI8RFkhAJaRjz/%2BWJUrV1ZiYqKefPJJjR8/XjVq1HBd1j7bsmWLbr31Vl1wwQV7XIS1Xbt2eu211/TFF19oxIgRWrVqldq3b6/169fv9nv69pXuvtvOf//dQmFJ3HKLtHKl1KSJdN99Jfve4iru9ceKZs2aadSoUfrvf/%2BrN998U4mJierQoYMWLlzoujRfWrVqlSSpVmj21P%2BrVavWtq/tyr48H1E21q1bp8LCwhL9Dnkeoky5boKMdqNHj/aSkpK2Hd/%2Bf/9jTk6Ot3DhQm/atGlev379vAMPPNBbvXq142p3b3fX4Xmel5eX53Xt2tVr1apVibtfcnJyvFq1anmPP/74Xu97wQXWjSt53tVXF%2B/xZ8wo6kKeOLFEpe2grK4/3PZ0HfvTBVpYWOi1bNnSu%2Baaa0qz3FJXVtcfbv%2B%2BjokTJ3qSvBUrVuxwv/79%2B3udOnUq9uOW5PkYKYYNG%2BYdeuihXpMmTaK6C/ivv/7yJHlTp07d4fP333%2B/17Rp02I9RrQ8D/dGdAFHBDbi209dunRRu3bttn1ct25dSVJSUpIaNWqkRo0a6aijjlLjxo318ssva/Dgwa5K3aPdXUd%2Bfr569OihxYsX6%2Buvvy5x61dSUpJatGhRrHesY8ZICxdKM2ZIGRlS27bSRRft/v6eJ914o9326SMdf3yJSttBWV1/uO3uOvZXuXLllJ6eHvEtD2V1/eH27%2BvIzc2VZC2BtWvX3vb5NWvW7NSitCcleT5GiquvvlpXX331tq3golWNGjUUFxe3U2tfSX6H0fI8RHQgAO6n5ORkJScn7/V%2Bnudt%2ByMeiXZ1HaHws3DhQn3zzTeqXr16iR83NzdXv/76q44t5sC8776T6teXVq%2BW%2BvWTjjlGOvjgXd934kTp22%2Bl%2BHjpwQdLXNoOyur6w624/x9LyvM8zZkzRy1atCj1xy5NZXX94fbv6/A8T6mpqRo/frxatWolycaUTZo0SQ8//HCxH7ekz0eUnvj4eLVu3Vrjx49Xt27dtn1%2B/Pjx6tq1a7EeI1qeh4gOBMBStmnTJj3wwAPq0qWLateurfXr1%2Bu5557T8uXLdd5557kur9gKCgp07rnnatasWfr4449VWFi47Z1rtWrVFB8fL0k6%2BeST1a1bNw0YMECSNGjQIHXu3FkNGjTQmjVrdP/99ysrK0t9%2B/Yt1s%2BtUMFaAA85RMrPl046SVqyZNf3fe45u%2B3fX6pXb78udyfFvf5o8Pfff2vp0qXb1jCcP3%2B%2BJCk1NXXbmnAXXXSR6tatqwf/P0nfc88921qus7Ky9Mwzz2jOnDnKyMhwcxH7oTjXH%2BkCgYAGDhyooUOHqnHjxmrcuLGGDh2qSpUq6YILLth2v9J%2BPqJ03XDDDbrwwgvVpk0bHX300Ro%2BfLiWLl2qK664QlJsPw9zcnL0%2B%2B%2B/b/t48eLFmjNnjqpVq6YGDRo4rMzH3PZAx55//vnH69atm1enTh0vPj7eq127ttelSxdv%2BvTprksrkdB4qV0d33zzzbb7NWzY0Lv77ru3fdyzZ0%2Bvdu3aXoUKFbw6dep43bt393755ZcS//xRo4rGAz7xxM5fz8vzvKQk%2B/oPP%2BzDBe5Fca8/GowcOXKX17H97%2B3444/3%2Bvbtu%2B3jgQMHeg0aNPDi4%2BO9mjVreh07dtxp7FK0KM71R4OtW7d6d999t5eamuolJCR4xx13nDd37twd7lNWz8dIEAvLwHie52VkZHgNGzb04uPjvSOPPNKbNGnStq/F8vPwm2%2B%2B2eXzcPvrRXgFPM/zwhM1gZI57DDpl19s0ejVq3f82sKFNuu3UiUpO9u2mAMQu0JjADMzMyN%2BLC4QDXjZRMQKbdywZo2Umbn7%2B/EWBgCAkiEAImKdcUbR%2Bb%2B3PD3oIKlqVWnzZunrr8NbFwAA0Y4AiIj1119F5/8eq1%2B%2BvNS7t53ffLNNGAEAAMVDAETEeuYZuy1fftdLwdxxh1StmjRnjjRoUHhrAwAgmhEAEbFefdVu/3/Zs53UqiW9/LKdP/OM9PTT4akLAIBoRwBERHr7bWntWjvf0yLPZ58tDR1q5wMHSiNGlH1tAABEO5aBQUSqVctm/zZoIP35557v63nWBfzEE/ZxRoZ01VVlXyOA8GEZGKB00QKIiPP00xb%2BJOmFF/Z%2B/0BAeuwx6frr7eOrr5YeeIDlYQAA2B1aABFR8vKkKlWkf/6RmjeXfv65%2BN/redJdd0n3328fX3WVhcnybHgIRD1aAIHSRQsgIsoll1j4k6T33ivZ9wYC0n332YSQQMD2Cj77bNspBAAAFCEAImIsWCC9%2Baadd%2B8uNWu2b49zzTUWHhMTpU8%2BkY45Zu/jCAEA8BMCICJG167WjZuYKI0evX%2BP1b27NHGiTSb56ScpPV369ttSKRNAGGVkZCgtLU3p6emuSwFiCmMAERFGjpT69bPzZ5%2BVBgwoncddtsyC5ezZNhbwiSfssQOB0nl8AOHBGECgdBEA4dz2Ez8OPlhatKh0H3/zZql//6Lu5d69pRdflJKSSvfnACg7BECgdNEFDOf69Cma%2BPHhh6X/%2BJUqSWPGSI8/LsXF2XnbttK8eaX/swAAiAYEQDg1d6707rt23rOndNhhZfNzAgHphhukr7%2BWate28Jeebl3PtIEDAPyGAAinunSx20qVpNdeK/ufd9xxNh7wlFOsa7hfP%2BsSzsws%2B58NAECkIADCmaeekpYssfPnnpPi48Pzc2vVkr74wnYLiYuzsYEtW0qTJ4fn5wMA4BqTQOBETo5UvbpNAElLk375xU0d06ZZC%2BDixVK5ctJNN0n33CMlJLipB8CuMQkEKF20AMKJnj0t/AUC0kcfuavj6KOlOXOkiy%2BWtm6VHn7YxgbOmuWuJgAAyhoBEGE3fbr06ad23q%2BfLf3iUkqKTQYZN06qWdMmprRtK91xh5Sb67Y2AADKAl3ACLv69aXly6XkZGnDBhuHFynWrpWuvrpoZnKzZtJLL0kdOritC/A7uoCB0kULIMLqkUcs/EkWrCIp/EnWAvjOO7aXcK1a0m%2B/2V7Cl19uYRUAgFhAAETY5OVJzz9v54cfLvXo4baePTnnHFsr8NJL7ePhw6WmTaVXX7WxggAARDMCIMLm6adt2ZeaNaUvv3Rdzd5Vq2atlJMm2UzltWttssixxzJJBAAQ3QiACIsVK6R777XzRx6x7tVoEVo8%2BuGHbf/gqVOlNm2kyy6TVq92XR0AACVHAERY3Hyzrf131FHSRRe5rqbk4uPtGn77TbrgAts%2B7qWXpEaNbEHpzZtdVwgAQPERAFHmvvtOGjPG1vx79llbcDla1atn1zJliq0XmJNjy8U0aWKBsKDAdYVAbMnIyFBaWprS09NdlwLEFJaBQZkqLLSgNHu21L%2B/NGKE64pKz9at0ltvSbfdJv35p32uSRPbSaRHj%2BgOukCkYRkYoHTxEoUy9corFv6CQesqjSXlyll38Pz50hNPSDVqSAsWSL162d7C773HjGEAQGQiAKLMbNwo3X67nQ8ZIh1wgNNyykxCgnT99dIff9hEl2BQ%2Bvln6bzzpBYtpDfeoGsYABBZCIAoM/fdZ0unNGtmu2vEuuRk6c47pcWLpbvusiA4b57Uu7d1DT/3HJNFAACRgTGAKBMLFkjNm1vL12efSaed5rqi8Nu4UcrIkJ56Slq3zj5Xo4Z05ZXSVVdJqalu6wOiCWMAgdJFAESZ6NxZ%2Bvhj6YwzpE8%2BcV2NW5s3Sy%2B/bOMElyyxz1WoIPXsKQ0YILVtazOkAeweARAoXQRAlLrx46WOHaXy5aW5c60LGNYaOm6c9OST0rRpRZ8/8kjba7hXL%2BtGBrAzAiBQuhgDiFJVWCjdeKOdX3014W975cvbxJCpU6Xp021B7IQE21bu8sul2rVtqZzvvrOFpgEAKCu0AKJUDR9uYaZqVen3320/XezeunXSq6/av9uCBUWfb9RI6tPHJpA0auSuPmBvPE/Ky5O2bLEjL6/oKCiwN4X/Xg6pXDkpLs7eFFWoYDvtJCRIiYlSpUr2uX%2BjBRAoXQRAlJrsbAsra9bYxIfrrnNdUfTwPNtd5JVXpHfflTZtKvpaerqNFzzvPKlBA3c1Ijbl5Unr19ubkXXrpL//Ljo2biw6MjOlrCx7nufk2LFpk41xLe1XkfLlpcqVbUhESorNqK9cOUtffhnUlVdmqm7dFB1wgO0pnpoq1aljt%2BXLl24dQCwjAKLU3H67NHSo1LixrYMXH%2B%2B6ouiUk2NjBUePliZM2LH1pE0bqXt3qWtX6dBDmTyCXcvPl1atklau3PF21Sp7g7Z6td2uXWvhrjTFx9tRoYIFsrg4a/EL7YzjefZ/urDQWgjz8y2E5ubu7ZGzJAUlZUrauQWwXDkLgQ0b2nHQQdLBB0uHHGJ/k%2BrW5fkCbI8AiFKxbJmtdbdlizR2rNStm%2BuKYsOaNdYi%2BO670uTJO4bBgw%2BWzjpLOv106fjjpYoV3dWJ8MnOtufb8uVFx19/FR0rVtj/m5IoV86Ga9SoYbfVqtkwjmrVrPWtShW7TUmxVrnkZGuhS0qyLttKlaz7Nj5%2B30OW51kI3LzZjpwcu9asLAupK1dm6ZprgrruukxlZ6dozZqiULtq1d4XW09Kkpo2tTdOzZvbIu2HHy7Vr08whD8RAFEq%2BvaVXntNOvZYadIk/qCWhdWrpQ8/lD74QPrqK2s1CUlMtH/7U06RTjpJatXKWl4QXXJzLdwtWyYtXVp0vv3HWVnFe6zy5a1FrHZtuw0dtWrZrjyho2ZNC3qRvnf1nsYAbt1qoTf077RkiS3IvmiRjUVevNhaHHelWjXpiCOsdb1NG6ldO0Ih/IEAiP02Z44tZeJ5Nrs1Pd11RbEvJ8eW2/n0U1to%2B6%2B/dvx6MCh16GCh8JhjpNataSF0zfOsyzUUUv78syjUhc5Xry7eYwWDFlLq1pXq1bPb7Y86daw1L9JDXUnszySQ/HzbqvHXX%2B2YO9eO337bdcth7dpS%2B/ZFz6EjjmB8IWIPARD7rWNHCyPnny%2B9%2BabravzH8%2BxFbfx4axmcNGnnVqLy5e1FrG1ba%2BVo3dq6wnY12xL7JtQ1u6sWvND5li17f5yKFS3cNWiw423oqFfPn%2BtFlsUs4NxcG688e7b0ww/SjBnSjz/u3FqYkmJB8OSTrZX9sMNoIUT0IwBiv3z5pdSpkwWJ%2BfNt4DXcKiy0Vtlvv7WZxd99t%2BuWpfh4Gwt1%2BOH2gta8uYXCBg1iq%2BVof3mezY4Nja8LjbXbfgze8uU2S3ZvAgHrhm3QYPdH9eqEi%2B1lZGQoIyNDhYWFWrBgQZkvA7N5szRzpj1vpkyx49%2B/29RU297yjDPsDXAwWGblAGWGAIh9tnWrdf3%2B%2BKM0cKDtcIHI43nWxfj999bC8cMP1uKxu7FkiYm2nE/jxjaD8qCDpAMPtJmV9etba0i08zy7/rVrbexYaGbs9pMKVq4sOvLzi/e4oa7Zf7fchcJdvXrMjt9XrtYBLCy0v3Fff13Uwv7PP0VfL1/eJmF17Sqdfbb9voFoQADEPhs9WrrwQgsEixbZmCNEh61bbaD8jz9KP/0k/fKLNG%2BetHDhjpNLdiU52caYhSYX1Kplv/vq1e0IzRwNBotmjFaqVLqtioWF1lKzaZMdOTlFa9RlZtqxcaO0YYMdoXXt1q0rWvNub9f5bzVr7jzWrl49O/zcNRsukbIQdG6uzcj/7DMbg/vbbzt%2BvW1bqUcP1u1E5CMAYp/k5to2b0uW2Np/gwe7rgiloaDAfqcLF9rsyUWLbAbln3/asT9rxiUk2Pi20HIhFSrYERdnR6jb89/rxBUUFO0sEdptorgtcnuTlFQ0Gza0qHCtWkXhtnbtokWGablzK1IC4L/9/nvR7Px/b%2BN4zDG2m0%2BPHuyKhMhDAMQ%2Befpp6/atU8fCQqVKritCOOTkFI2FW7lyxwWF16%2B3Y8MGC4qhFrmy/AsTCNj/vdC6dCkpdlSpYkfVqnYbWtuuRo2io2ZNZkZHk0gNgNtbtcrWQX37bWslDP3fj4%2BXOneWLrnExkwzoxiRgACIEsvKsrFh69bZHraXXea6IkQqzyta2HfzZhs7lZtrR35%2BUQvf1q1FL5aBgB3b7xVboULRXrGho1IlC3BMmPCHaAiA2/vrL%2Bmtt6TXX7ehFiF16kj9%2BtnfTbqI4RIBECU2ZIh0zz2288cvv/BuFkDZi7YAuL2ffpJGjrRx0%2BvW2efKlbNZxAMGSKeeysx7hB8BECWydq1tQZaTI73zjg10BoCyFs0BMCQ318YLvviizSoOadpUuu466aKLbFwqEA6850CJDB1q4a91a%2Bncc11XAwDRIyHBJoR89ZXNHr72Whu/On%2B%2BdNVV1iV8550l38sZ2Be0AKLYli61teHy8qQvvrAFUAEgHGKhBXBXsrOte/jpp227OsnGuF56qXTTTbb%2BJlAWaAFEsd13n4W/44%2B3MSsAgP2TnGwtgQsWSO%2B9Z%2BsIbtkiZWTYguz9%2BxcFQ6A0EQBRLAsX2rtUybqBmXkJoLguvvhiBQKBHY6jjjrKdVkRJS5OOucc6X//sy7ik06yGfIvv2wT7vr3t7U4gdJCAESxDBliC/OeeabUvr3ragBEm9NOO00rV67cdnz66aeuS4pIgYCFv6%2B%2BkqZOtXUDCwuLguB11zFGEKWDAIi9%2Bvln6c037fy%2B%2B9zWAiA6JSQkKDU1ddtRja0x9uroo6XPP7cdRk46yYbgPPOMrcN67722DSKwrwiA2Ku777ZFes85R2rVynU1AKLRxIkTdcABB6hJkya67LLLtIZmrGJr395aBMePl9q0sZUY7r7bJuWNHGkLqQMlxSxg7NHs2dKRR1q3xNy5UvPmrisCEG3efvttVa5cWQ0bNtTixYt15513qqCgQDNnzlRCQsIuvyc3N1e5ubnbPs7KylL9%2BvVjbhZwSXmercE6eLDt0y3Z3%2BhnnpE6dHBbG6ILLYDYo7vvtttevQh/APZuzJgxqly58rZj8uTJ6tmzp84880wddthh6ty5sz777DMtWLBAn3zyyW4f58EHH1QwGNx21K9fP4xXEbkCAalnT%2BnXX6VHH7W9r2fNko45RurTx/boBoqDFkDs1owZtiRBuXLSvHm2Wj0A7El2drZWr1697eO6deuqYsWKO92vcePG6t%2B/v2655ZZdPg4tgMWzZo10%2B%2B02ScTzbFmZ%2B%2B6Trr6abTqxZ7QAYrdCrX99%2BhD%2BABRPcnKyGjVqtO3YVfhbv369li1bptq1a%2B/2cRISEpSSkrLDgZ0dcIA0YoQ0fbq9Yc/OlgYOlNq1k2bOdF0dIhkBELv0/ffSZ5/Z2lR33um6GgDRKicnR4MGDdK0adO0ZMkSTZw4UZ07d1aNGjXUrVs31%2BXFjDZtpGnTpBdekKpUsW7htm2lQYOkzZtdV4dIRADELg0ZYrcXXmir0QPAvoiLi9PcuXPVtWtXNWnSRH379lWTJk00bdo0JScnuy4vppQrJ11%2Bue0zfP75Njv48celww%2BXJk50XR0iDWMAsZPvv5eOOspa/%2BbPtzWnAMClWN0LuCx98ol0xRXS8uX28YAB0kMPSUlJbutCZKAFEDu55x67vfBCwh8ARKszz5R%2B%2BUX6z3/s42HDpCOOsK5igACIHcyYUTT27/bbXVcDANgfKSnSiy9KX34p1asn/f67LRlzxx1Sfr7r6uASARA7uPdeu%2B3dm7F/ABArTj3VFvPv08fGBj7wgAXBRYtcVwZXCIDYZtYs6eOPbSAxrX8AEFuqVJFef116%2B207nz7duoTHjHFdGVwgAGKb%2B%2B%2B32/PPl5o0cVsLAKBs9Ogh/fSTdOyxtq9wnz5Sv34sF%2BM3BEBIkn7%2BWRo3zrYZovUPAGJb/frSN9/Ykl/lykkjR9q6gb/95royhAsBEJJsPIgknXOOlJbmthYAQNmLi7MdnyZMkFJTbcZwmzbWRYzYRwCEFiyQ3nnHzmn9AwB/OfFEac4cu920yYYB3XCDVFDgujKUJQIg9NBDNivsrLNsQDAAwF9q1bKlYm691T5%2B8kmbObx2rdu6UHbYCcTn/vzTlnspKLDFQY86ynVFALAzdgIJn7Fjpb59bYJIgwbShx/SOBCLaAH0ucces/B30kmEPwCRJyMjQ2lpaUpPT3ddim90725bgjZqJC1dKnXoIL3/vuuqUNpoAfSx1aulAw%2BUtmyRvvrKQiAARCJaAMNvwwYbD/jll/bx/fdLt91mq0Ug%2BtEC6GNPPWXhr107G/wLAEBI1arSJ59I111nH99xh3UN5%2Ba6rQulgwDoU5mZ0nPP2fngwbyjAwDsrHx5ayx4/nlbNub116VOnax1ENGNAOhTzz8vZWXZmn%2BdO7uuBgAQya64Qvr0Uyk5WZo0SWrfXlqyxHVV2B8EQB/assXe0UnSLbfYKvAAAOxJx47Sd99J9erZjiFHH23rByI68dLvQ6NG2QSQBg2kXr1cVwMAiBYtWtiSYS1aSKtWSccdJ339teuqsC8IgD5TWGhLv0jSjTdKFSq4rQcAEF3q1ZMmT5ZOOEHKzpZOP51lYqIRAdBn3n9fWrRIql5duvRS19UAAKJRMCh99pntH5%2BXJ/XoIb38suuqUBIEQB/xPOmRR%2Bx8wAApKcltPQCA6JWYKL39tnTZZbadaP/%2B0hNPuK4KxUUA9JFvvpFmzpQqVrQACADA/oiLk158UbrpJvv4xhule%2B6xBgdENgKgj4Ra//r1k2rUcFsLACA2BALSww/bTiGSNGSIdOuthMBIRwD0iZ9%2Bkr74wpZ8ueEG19UAAGJJICDdfrv05JP28SOP2GsNITByEQB94vHH7fbcc6WDD3ZbCwAgNg0caBsNSLbe7HXXEQIjFQHQB5Yvl954w84HDXJbCwAgtl1xhTRihLUKPvusdO21hMBIRAD0gWeflQoKbMHO9HTX1QAAYl3//tJLL1kIHDbMWgYJgZGFABjjsrNthpZE6x%2BA6JORkaG0tDSl8%2B416vTrZy2BkvTMM9LNNxMCI0nA8/h1xLKnnpKuv15q2lSaN499fwFEp6ysLAWDQWVmZiolJcV1OSiBF1%2B0bmFJuvNO6d573dYDQxyIYQUF0tNP2/n11xP%2BAADhd/nl1gIoSffdZ0vGwD0iQQwbN05assTW/LvoItfVAAD86pprioLfrbdKzz3nth4QAGNaaEueK6%2B03T8AAHDl5pulO%2B6w8wEDpDFj3NbjdwTAGPW//9kRHy9ddZXragAAsPF/AwbYZJC%2BfaVPP3VdkX8RAGNUaDX2Cy6QUlPd1gIAgGTLwjz9tNS7t1RYaJsTTJ3quip/IgDGoKVLpffft/OBA93WAgDA9sqVk0aOlM44Q/rnH%2Bmss2yVCoQXATAGDRtm76xOOklq2dJ1NQAA7KhCBemdd6SjjpI2bJBOO812rUL4EABjzKZNRQtv0voHAIhUSUnSxx/bOrXLllmLYGam66r8gwAYY157Tdq4UWrUSDrzTNfVAACwe9WrS59/bmPV586VzjlHystzXZU/EABjyNatRQs/X3MNCz8DACLfgQfabOCkJOmrr6T//Ict48KBiBBDxo%2BX5s%2BXkpOlSy5xXQ0AAMXTqpX03ntSXJz06qvS/fe7rij2EQBjSKj1r18/C4EAAESL006TMjLs/K67pDffdFtPrCMAxogFC6TPPrM1lgYMcF0NAAAld/nl0o032vkll0jTprmtJ5YRAGPEsGF2e%2BaZNgEEAIBo9PDDUteuUm6udPbZtrYtSh8BMAZkZ0ujRtn5Ndc4LQUASlVGRobS0tKUnp7uuhSESVycNHq0rWO7Zo3UpYuUk%2BO6qtgT8Dzm2kS7YcMs%2BDVtaqupM/sXQKzJyspSMBhUZmamUlJSXJeDMFi6VGrbVlq9WureXXr3XV7fShP/lFHO84q6fwcM4MkBAIgNDRpI48ZJ8fHS2LHSffe5rii2EBei3IQJRUu/9O3ruhoAAErP0UdLL7xg50OGSB984LScmEIAjHKhKfN9%2B7L0CwAg9lxyiXTttXZ%2B4YU21An7jzGAUWzJEumQQ2wHkF9/lZo1c10RAJQNxgD6W36%2B1LGjNHGi1KSJNH26FAy6riq60QIYxV54wcLfyScT/gAAsatCBemdd6T69W3d27597fUP%2B44AGKW2bJFeftnOWfgZABDrataU3n/fJoV8%2BKH00EOuK4puBMAo9e670rp19m7orLNcVwMAQNlLTy8a%2B37nnTYREvuGABilQk%2BAyy%2BXypd3WwsAAOHSv7/teb91q9Srl7R8ueuKohMBMArNmiV9/72Niejf33U1AACE17Bh0hFHWE9Yz542SQQlQwCMQs8/b7fnnCPVquW2FgAAwq1iRem996SUFGnqVOm221xXFH0IgFEmM1N64w07v%2Boqt7UAAODKIYdIo0bZ%2BWOPSR995LScqEMAjDKvvSZt3iw1by4dc4zragAAcKdbN%2Bm66%2Bz84ott/2AUDwEwinhe0ZY4V14pBQJu6wEAwLVHHpHatJH%2B/tsmhRQUuK4oOhAAo8jkybYFTlKS1KeP62oAAHAvPl56%2B%2B2i8YBDhriuKDoQAKNIqPXvggvYAgeAP2RkZCgtLU3p6emuS0EEO/hgacQIO3/8cWnlSrf1RAP2Ao4Sa9dK9epJeXnSzJnSkUe6rggAwoe9gFEc994rde4stWrlupLIxxLCUWLUKAt/bdoQ/gAA2JW77nJdQfSgCzgKbN0qDR9u55df7rYWAAAQ/QiAUeCbb6Tff7cBrr16ua4GAABEOwJgFHjxRbvt3dtmAAMAAOwPAmCEW7NG%2BuADO//Pf9zWAgAAYgMBMMKNGmWbXLdtaxtfAwAA7C8CYATzPOmll%2Byc1j8AAFBaCIARbOJEaeFCqXJlqWdP19UAAIBYQQCMYKFVzS%2B4wEIgAABAaSAARqj166WxY%2B38ssvc1gIAuzN27Fh16tRJNWrUUCAQ0Jw5c3a6T25urrPdnzAAAAdWSURBVK655hrVqFFDSUlJ6tKli5YvX%2B6gWgAhBMAINWaMlJtrEz/atHFdDQDs2qZNm9ShQwc99NBDu73PwIEDNW7cOL311luaMmWKcnJydNZZZ6mwsDCMlQLYHlvBRSDPK%2Br%2B7d/fbS0AsCcXXnihJGnJkiW7/HpmZqZefvllvf766zrllFMkSaNHj1b9%2BvU1YcIEderUKVylAtgOLYARaMYM6eefpcREW/wZAKLVzJkzlZ%2Bfr44dO277XJ06dXTYYYdp6tSpDisD/I0WwAgUWvrl3HOlKlXc1gIA%2B2PVqlWKj49X1apVd/h8rVq1tGrVqt1%2BX25urnJzc7d9nJWVVWY1An5EC2CE2bRJevNNO7/0Ure1AMD2xowZo8qVK287Jk%2BevM%2BP5XmeAoHAbr/%2B4IMPKhgMbjvq16%2B/zz8LwM4IgBHmnXeknBypUSPp%2BONdVwMARbp06aI5c%2BZsO9oUY4Zaamqq8vLytGHDhh0%2Bv2bNGtWqVWu33zd48GBlZmZuO5YtW7bf9QMoQhdwhHnlFbvt10/aw5tjAAi75ORkJScnl%2Bh7WrdurQoVKmj8%2BPHq0aOHJGnlypX6%2Beef9cgjj%2Bz2%2BxISEpSQkLBf9QLYPQJgBFmwQJoyRSpXTurb13U1ALB3f//9t5YuXaoVK1ZIkubPny/JWv5SU1MVDAZ16aWX6sYbb1T16tVVrVo1DRo0SC1atNg2KxhA%2BNEFHEFCrX%2Bnny7VqeO2FgAojv/%2B979q1aqVzjzzTEnS%2Beefr1atWumFF17Ydp8nn3xSZ599tnr06KEOHTqoUqVK%2BuijjxQXF%2BeqbMD3Ap7nea6LgFRQIDVoIK1cKb3/vtS9u%2BuKACByZGVlKRgMKjMzUykpKa7LAaIeLYAR4vPPLfzVqCGddZbragAAQCwjAEaIkSPttk8fKT7ebS0AACC2EQAjwLp10kcf2Xm/fm5rAQAAsY8AGAHGjJHy86XWraUWLVxXAwAAYh0BMAKMGmW3l1zitAwAAOATBEDH5syxIz5e6tXLdTUAAMAPCICOhVr/unSRqlVzWgoAAPAJAqBDeXk2/k%2BSLr7YaSkAAMBHCIAOffaZzQBOTZU6dXJdDQAA8AsCoEOvvmq3vXtL5dmVGQAAhAkB0JF166SPP7Zzun8BYNcyMjKUlpam9PR016UAMYW9gB0ZNky65hrpyCOlmTNdVwMAkY29gIHSRQugI6Hu37593dYBAAD8hwDowK%2B/Sj/8YOP%2Bzj/fdTUAAMBvCIAOvPaa3Z5%2BunTAAW5rAQAA/kMADLPCQmn0aDu/6CK3tQAAAH8iAIbZxInS8uVSlSrSWWe5rgYAAPgRATDMXn/dbnv2lBIT3dYCAAD8iQAYRps2Se%2B/b%2BcXXui2FgAA4F8EwDD68EMpJ0c6%2BGCpfXvX1QAAAL8iAIZRqPu3Tx8pEHBbCwAA8C8CYJisXi2NH2/nffq4rQUAAPgbATBM3nrLloBp21Zq3Nh1NQAAwM8IgGES6v5l8gcAAHCNABgG8%2BdLM2dKcXG2/AsAAIBLBMAwCO380amTVLOm21oAAAAIgGXM86Q33rBzJn8AQMlkZGQoLS1N6enprksBYkrA8zzPdRGxbNo0W/MvKclmAiclua4IAKJPVlaWgsGgMjMzlZKS4rocIOqVd11ArDv4YOnhh20XEMIfAACIBLQAAgAiHi2AQOliDCAAAIDPEAABAAB8hgAIAADgMwRAAAAAnyEAAgAA%2BAwBEAAAwGcIgAAAAD5DAAQAAPAZAiAAAIDPEAABAAB8hgAIAADgMwRAAAAAnyEAAgAiVkZGhtLS0pSenu66FCCmBDzP81wXAQDAnmRlZSkYDCozM1MpKSmuywGiHi2AAAAAPkMABAAA8BkCIAAAgM8QAAEAAHyGAAgAAOAzBEAAAACfIQACAAD4DAEQAADAZwiAAAAAPkMABAAA8BkCIAAAgM8QAAEAAHyGAAgAAOAzBEAAAACfIQACACJWRkaG0tLSlJ6e7roUIKYEPM/zXBcBAMCeZGVlKRgMKjMzUykpKa7LAaIeLYAAAAA%2BQwAEAADwGQIgAACAzxAAAQAAfIYACAAA4DMEQAAAAJ9hGRgAQMTzPE/Z2dlKTk5WIBBwXQ4Q9QiAAAAAPkMXMAAAgM8QAAEAAHyGAAgAAOAzBEAAAACfIQACAAD4DAEQAADAZwiAAAAAPkMABAAA8BkCIAAAgM8QAAEAAHyGAAgAAOAzBEAAAACfIQACAAD4DAEQAADAZwiAAAAAPkMABAAA8BkCIAAAgM8QAAEAAHyGAAgAAOAzBEAAAACfIQACAAD4DAEQAADAZwiA/9duHQgAAAAACPK3HuSiCABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYEEABgRgABAGYCAn5cUIlYZIQAAAAASUVORK5CYII%3D'}
Genus 2 curve data - 20412.b.734832.1