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g2c_curves • Show schema
{'Lhash': '308206740058500899', 'abs_disc': 2405, 'analytic_rank': 1, 'analytic_rank_proved': False, 'analytic_sha': 1, 'aut_grp_id': '[2,1]', 'aut_grp_label': '2.1', 'aut_grp_tex': 'C_2', 'bad_lfactors': '[[5,[1,3,1,-5]],[13,[1,-1,13,-13]],[37,[1,9,27,-37]]]', 'bad_primes': [5, 13, 37], 'class': '2405.a', 'cond': 2405, 'disc_sign': 1, 'end_alg': 'Q', 'eqn': '[[4,-1,-8,0,4,1],[0,0,1]]', 'g2_inv': "['1040645140512768/2405','16542757453824/2405','277963612416/2405']", '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': "['2016','157104','84858903','9620']", 'igusa_inv': "['1008','16152','273569','3717612','2405']", 'is_gl2_type': False, 'is_simple_base': True, 'is_simple_geom': True, 'label': '2405.a.2405.1', 'leading_coeff': {'__RealLiteral__': 0, 'data': '0.34894472253957636815919292617165840316854924785719', 'prec': 173}, 'locally_solvable': True, 'modell_images': ['2.60.1'], 'mw_rank': 1, 'mw_rank_proved': True, 'non_maximal_primes': [2], 'non_solvable_places': [], 'num_rat_pts': 7, 'num_rat_wpts': 1, 'real_geom_end_alg': 'R', 'real_period': {'__RealLiteral__': 0, 'data': '28.171494890945368816630159799', 'prec': 100}, 'regulator': {'__RealLiteral__': 0, 'data': '0.198183148684', 'prec': 47}, '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': 4, 'torsion_subgroup': '[4]', 'two_selmer_rank': 2, 'two_torsion_field': ['6.6.6015386000.1', [-2690, -260, 794, 37, -55, -1, 1], [6, 3], False]} -
g2c_endomorphisms • Show 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': '2405.a.2405.1', '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
{'label': '2405.a.2405.1', 'mw_gens': [[[[1, 1], [1, 1]], [[-1, 1], [0, 1], [0, 1], [0, 1]]], [[[-1, 1], [0, 1], [1, 1]], [[0, 1], [0, 1], [0, 1], [0, 1]]]], 'mw_gens_v': True, 'mw_heights': [{'__RealLiteral__': 0, 'data': '0.19818314868437092447809765720930', 'prec': 113}], 'mw_invs': [0, 4], 'num_rat_pts': 7, 'rat_pts': [[-1, -1, 1], [-1, 0, 1], [0, -2, 1], [0, 2, 1], [1, -1, 1], [1, 0, 0], [1, 0, 1]], 'rat_pts_v': True} -
g2c_galrep • Show schema
{'conductor': 2405, 'lmfdb_label': '2405.a.2405.1', 'modell_image': '2.60.1', 'prime': 2} - g2c_tamagawa • Show schema
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g2c_plots • Show schema
{'label': '2405.a.2405.1', 'plot': 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QP%2B%2BSf1j/fzk8d8iRJA0aJAoULyePfxkYDg7Q2UPVkBmJH2900qUxH5rgO3bgEXLsjbtm3JP6ZaNaBePaBhQ1kyWK0aZ41z2qhR0vLFwwP49lv59yBr4xpAMiSlJOTt3An8%2BisQGiqjGElJ9/5cT08gXz5pauoc5bt9WwJkbKxMg6RXsWJAYKCMZtSsKaMZtWrJD0ginWJigO3bgS1bgJ9%2BAv74Q/7f3C13bnn81qgh12rVZNSnfHnA3z8d30Qp%2BaQTJwCksAawenXg8GEoJdPIf/0lH3r0KHD4MBAWJlPN/1ayJPD000CLFkDLlhI%2BKfvMmAEMHCj3c%2BcCr76qtx4yBgZAMoyoKODHH2Vj4ebNMpLwb35%2B8oOsalWgUiWgXDkZxSheXNayFCgg65DSGl1ISADsdhkxuXZNRg8jIoDz52VE8fRp%2BUF26VLKn%2B/pKTXUrQvUry%2B76R58UF5ZE2Wns2eB1auBNWsk/MXHJ//9KlVklK1%2BfSAoSIKfl1cmv%2BnevUDz5kBkZPIAWKiQ/Ed95JE0P/3qVXkBt2eP6wXd3XV7eACNGklLkueeA0qXzmS9lMzChXLMGwBMmiQjgUQAAyBpFhMjRw8tXQps2iThzMnLS6YpGjSQ6yOPyBRtTk0dRUXJlHN4uIxmHDwoIxpXrvz3YwsWlB%2B8TZoATz4pI4WenjlTJ7m306eB774Dli2Txft3K1dOstlTT8ljr0SJbCri77%2BBkBDY16%2BH/5EjiBw0CH6DB2corcXFAb/8Iv/f16%2BX/1t3e/xxaUjcuTOXYGTW2rVAhw4yA/Lmm8D06Zx6JxcGQNJi715gzhxZixId7fr1KlWk5VjLljIqYLSpVqVkzWFoKPDbbzKasXevrH%2B6W8GCEgSd01wVKuipl8zpxg15UbRwoYycOXl4yAuN9u2BNm1ks0VO/kC32%2B3w9/dHZGQk/LJoZ8eZM/IicPlyCYZO3t4yIti7t4RbBpf78/PPQKtWMtr68svA119zloKSYwCkHJOUJE/y06ZJaHKqVAl48UWgSxeZWjXbE31ioowM7tghi9937JAp5rtVqwa0bg20bSsjHLlzaymVDMzhkPV8X3wB/PCDazTcw0P6tnXuDHTsKOtSdcmOAHi38%2BeBJUuA%2BfOTjww%2B%2BCDQrx/Qvbvs4qe0/fYb0KyZvLhu316ed/mcQ//GAEjZLiEB%2BOYbYMoUmc4CZHq3c2c5h7JRI/OFvrQkJclU3ebNMs21e7erHQ0g6xhbtwaeeUaubJFhbdevA19%2BCcyeDZw65fr1hx6SwBMcLJsmjCC7A6CTUvJ/aO5cYNEiWSoCyMaV118H3noLCAjItm9vagcOAE2byg7wp56SaWD2Z6SUMABStnE4gMWLgbFjXcGvSBE5RvSNN/SOZOSkyEgJg%2BvWyZqnu9cQennJNHGnThIICxbUVyflrMOHZU3WokWyLg6QgNO1q%2BzSfPhhvfWlJKcCYPLvKS8gP/30zmZkeHkBPXoA77zD5RV3O3JERouvXZOlAj/%2ByBFTSh0DIGWLX36RV%2BnORevFi8uT9WuvSYsWq3I4ZHrmhx%2BAlSulMa9T7twSBrt0kYXbHBl0P0rJ2qwPPgA2bnT9eu3aQP/%2BMtpn5P8fOgKgk8Mho1kffOBaK5grlwTBMWNkg5iVHT0q4e/KFdkBvnlzOlv9kGUxAFKWunYNGDpUXrED0mx5xAjZgebjo7c2o1FKdhivWCE7PO9e8%2BTtLesFX3pJpom9vfXVSZnncEjrlsmTZQMRIGv7OnYEBg2Sne5mWAahMwDebedOYOJECTmAjAj26QOMHm3No82OHZPwd%2BmSjBxv3creinRvDICUJZSSHb0DBkgItNmAXr3kB55Vpnoz6%2BhRafexdKkc2%2BVUoICsl%2BzWzTxBgYTDISO9EyZIo2ZA1mP16gUMHiwnzpiJUQKg0%2B7dEvp%2B/lne9/OTPndvvmmddW/HjknHgYgIaVK/das1QzDdPwZAyrTr1%2BXV97Jl8n7NmtLipX59vXWZlVLSc3DRItkReXdD7MqVJQh26yY94MiYlJI1n2PGyA5xQEbD%2B/eXExnM%2BqLIaAHQafNmYPhw2QABSLD%2B%2BGPZAevOL5jCw2XDx%2BXL8ry7dasc60eUHgyAlCk7dkgLlwsXZD3O6NEy5Zvp0wcIgOwe3rYNWLBAWjk4d0PabLLDr2dPmUa0ymiHGezcKetdd%2B%2BW9319ZT3soEHmn5YzagAEZLR1wQJg5Ejp1QlIP9GZM6XVlLs5dEieA65elR3jW7Zw5I/uDwMgZYhSshh75Eh54q1aVXb81qmjuzL3FRMj6wW//to15QXIzuGuXaVhbs2a2sqzvD//lFGo1avl/bx5ZUnE228DhQvrrS2rGDkAOkVHA%2B%2B9B0ydKi2o8uSRkdihQ93nhen%2B/XICzI0bsoFo82b3eYxRzmEApPsWEyP9yVaskPe7dQNCQthuICedPi1B8KuvgHPnXL9er570SevcmZtucsr168D48cCsWTJi6%2BkpbVzGjnW/XnVmCIBOx49L8%2BgtW%2BT9mjWBefOARx/VW1dm/fKLbAyz2%2BU88h9/ZPsoyhgGQLov58/L7tSDB6VtycyZMvLkzutsjOz2bXn17zw9IilJft3fX45/euMNoHp1vTW6q6Qkad48Zgxw86b8Wrt2MjL%2BwAN6a8tqISEhCAkJwe3bt3H8%2BHFTBEBAZioWLZLp92vXJJy//TYwbpw5d9Zv2iRLPm7dAho3lp3lJvhnIINiAKR0%2B%2BMPOVvy4kVZxL5ypexKJWO4fFlGBOfOTX6ixOOPyyad555znykw3XbtktEl587emjWlqXPTpnrrym5mGgG829WrsjN46VJ5v1YtWS9Yq5beuu7H8uWy3joxUdY2rlhh7J6RZHwMgJQuO3fKyJ/dLuf1rl/PXahG5TxT9vPPZT2a8xi6YsVkavKNN4AyZfTWaFZXr8oI0tdfy/sFCwKTJkmD81y5tJaWI8waAJ2%2B/14e/1evyouh99%2BXDToeHrorS9vs2fIiTing%2BeeBhQv5Yo4yjwGQ7mnjRpl2iI2V0aQffuCaE7O4eFFGBOfMce2M9PCQY%2Bf69ZMRK07f35tS0tx8yBBZeA9ImJ4yxVo7L80eAAEZKX/1VTlVBJDRtG%2B%2BMWZrHqWk4fW4cfL%2Ba68Bn30mU9lEmcUASGlav17CX0IC0KaN9PrLm1d3VXS/EhNlNDAkJPkO4gcflJ2qL7/MTTyp%2Besv%2BcH700/yfq1aMrr62GN669LBHQIgIMHq88%2BlGXdcHFCypPTcbNJEd2UuSUnyIm3OHHl/9GhpKM4XbJRVGAApVRs3SiPVhATg2WflCZLTDuYXHi5BcP58aZkByELynj2lUbE79kzLiNu3gRkz5AdvbKy88Bk/XjYU5M6tuzo93CUAOh0%2BLGdvh4fLyPjkydLKR3fIiomRc6HXrpVaZs4E%2BvbVWxO5HwZAStHOnUCLFvKD79lnZfG0VX/ouavISJn6mjkTOHFCfs1mk5Het96SJrO6fxDqcuwY8MorwJ498n7TpjISY/Vw7G4BEJCw1bevvCACgA4d5P%2BFrj9eRITsJt%2B/X3oYLl4sszBEWY0BkP7j4EFpMWC3Sxj4/nuO/Lkzh0NGez/5RHqKOQUGShDs2tU6uw0dDuDTT%2BUkj7g4OcVj6lRZM2bVMHw3dwyAgEwJz50ryyESEqSNz6pVQLVqOVvHoUOy2e7sWVlbunq1NZcaUM5gAKRkzp6VM3wjImTDx8aNXPNnJceOyYjg11%2B7pocLFZI1cP36AaVLay0vW509C/To4Voj%2BfTT0l%2BxbFmtZRmKuwZAp9BQGW27cEF6aX77rcyE5IR162TaNzpaTlZat07O/ibKLgbf/E45yTniFxEhzYNXr2b4s5pq1WQE7Px54OOPgQoVZNfr%2B%2B8D5cvLD6hff9VdZdZbskQ2d/z8s4x2fvaZvPhh%2BLOWoCCZem3YUJZItG4tI%2BPZOUyilIwyt2sn4e%2BJJ2TpAcMfZTcGQAIgC95feEEWRZcsCWzYABQooLsq0sXfXzY7nDghDb%2BbNJHHyLffypRU/fqyLjQxUXel9yEyUjo4//77nZ/odrscZfjii/Lb9eoBYWHSc41TvtZUvDiwdausAXU4ZBnEgAGuU3YyzOGQdLlrFxAVBUCWGbzyipxTrJScqrRxo4y6E2U7RaSUeucdpQCl8uRRKjRUdzVkRGFhSvXooZSXlzxWAKVKl1bq/feVun5dd3VpiItTasAApfLlcxVeqZI68d53qlIledfDQ6lx45RKTNRdrLFFRkYqACoyMlJ3KdnO4VDqgw%2BUstnkMdK2rVLR0Rn8YosWKVWhguvxlz%2B/sr86SNWvk6AApTw9lZo%2BXb4nUU7hGkDC99/LMWGATIUFB%2Buth4zt8mVg1ix5u3JFfi1fPqB7dxktyemF8/f03HPyIP8XB2zohOXYX/ZZLF4s036UNndfA5iSFStkI1RcnEwRr1sHFC16H19g6VKZXknBYryAAYUW49tvgWbNsqZeovRiALS4EyeAOnVkRmLIEOCjj3RXRGYRFycvGKZPd52JC8g60kGDDHLKyP79wKOPpvrbZ/2qw/fMYZ5sk05WDICArMlr1w64fh2oUkWmaStUSMcnKiU7Ok6eTPVDzm04jDItq2ddsUTpxACYCUopRP3/Wg4ziouTV52HDsm6rrVrrXGeKWUtpYAdO2TjxL/byPTpA3TuLP3MtJgwQVbYp2XfPvmpTv8RHx%2BP%2BPj4O%2B9HRUUhMDAQ586ds1QABOTFcseOwLlzsk7whx/kJJ00HToENGqU9seMHCndp0kLX19f2LS/UtWDATATnK%2BGiYiIyHysNpp9NwbATMjICGBQUBBCQ0Mz/D2z6vM3bwY6dZJfW7YMaN48%2B7%2B/3W5HmTJlMj16YJS/Qx2fnxV/hzlR/z//yGkKc%2BZISxlATpLp1AnYvbsr/vhjYbZ%2Bf6fEVeuQu/uLqX9A4cLA0aOAt3e2fH%2Bzf/6/RwAjIiJQt25dhIeHo1SpUtn%2B/Y34%2BY888hQKFNiK/fvl/OxFi6R1S0oc0bdwq9wDyJ8UmfoXXL5cmk6mk%2B4/v7s9/1l5BJATfplgs9nu%2B0Ho6emZqfCTFZ%2BflOSHAQPk/QEDXEEwJ74/APj5%2BWn/OzDz5wOZ%2BzvMifr9/IAxY4ARI2T/xfTpso5qyRIAWI327WWdYNu2gKdn9tR/8SLQKaQzvsQEPIg/U/6gt966zxX9%2Bv/9dX8%2BID80jfz4y87P9/KKwc8/%2B6FdO2D7djk6LqWzev/6C3j8cT/0S%2BqHUXgv5S9Ws6actXkfAUT3n1/35wN6n//cief48ePH6y7CaurWrav18%2BfOrYvdu2W35vLl93/Gb0a/f3x8PN5//32MGDEC3vcx4pKVNZj987Pq7zCn6vfwkKbivXoBrVpJo9vw8Ns4c8YDS5cCC/9/IDAw8L4G4e75/deulUX7R495YKdfW3QtsQXekVfv/L6y2WB74w3pcJ2BV/9mffxk9vPtdjumTZuGwYMHZ%2BqHqFn//E6NGtVF587Al1/KY3r9emmU/vDD8vuffy5NpO12YBueQMNyF1DBHoZkj7SHHpIHagaWEen%2B81v9%2Bc9t6Ok%2BQ7qsXu3qe/bbbzn7va3UQyy7uMPf4blzSg0frlTBgq62aH5%2BSg0apNSpU5n/%2BoMGub5u9epKnTyppMHahg0qdsQINQxQ9gMHMv%2BNLOjcuXMKgDp37pzuUgzh2jWlChSQx5rNptSuXUp16uR6/OXOrdTChf//wcePq9jx49VYQEWvXMmmfxngDs9/RsIpYAux22VXJiAtX3L6RZC3tzfGjRuX6dE/K3OHv8PSpWXgbcwYYMECYMYM4M8/gWnT5L5DB5kebtjw/gbnHA6gfXvp0wYAJUoAv/ziHGCxAS1bwvbkk8jn5QWve27fpJQ4H3dmfvxlpcKFgSNHZPQvMdE16gfIMYJ79gABAf//wVWqwPbOO7AphVytWhmgR5L5uMPzn5FwE4iFvPmmnPNaqZJ0J%2BA5v2QEDof0VZs%2BHdi0yfXrdevKC5Vnn713eyKHQ45x27dP3n/4YeC33wAvr%2Byr24qs2gcwLZs3Ay1bymPQ01OOTATk6sHDVsnA%2BPC0iN9/B0JC5H7WLIY/Mg4PD1kfuHGjnEX96quyHnDvXqBLF1mrOmHCneNTU3R3%2BGvbFjhwgOGPspfDIaffNG8u9zYb0KOH6/dffllbaUTpwgBoAQ4H0K%2BfXIOD76vjAFGOql4dmDsXOHsWGDtWptgcjL2oAAAgAElEQVROnQLGjQMKFgQGD5bVVXd76y1X%2BHv5ZWDNmpyvm6zl2DHgySeB%2BfPl/QIF5AXLF1%2B4WsIsXsz%2BzmRsnAK2gPnz5ZVq/vzyxHVnTQqRwcXEAJMnA//7n7yAAYBatYCwMNcSqvz55ePq15c1V5R9rD4FHBsr61fffx9ISJCZlJdeklkV5zIFh0NOCDl%2BXN6fNg0YOFBfzUSp4Qigm4uOBt55R%2B5Hj2b4I3Px8QHeew%2B4cgV4/HH5tT/%2BkOa7Ts4%2BgocOAd99l/M1kjWsXQvUqCHLERISZNlCeLiMWN%2B9RtXDQx6jJUrI%2B4MGAd9%2Bq6dmorQwALq5jz4CIiLk4HLdr0LHjx%2BPBx54AD4%2BPihYsCCaNWuG3377TW9RJpGYmIjhw4ejZs2a8PHxQUBAALp164aLFy/qLi1HFC4sG5icbt503X/8sVxjYmTNYKlSMhWXzI4dwLPPIrZQIVzMlw8z8uZFCZsNYWFh2V47mduff8ru3nbtZDlCQIC80Fi3Tnb/psTbW8Khs8XfkODzWBRQD2dy5cJFmw0XGjQAdu/OsT%2BD2U2ZMgVBQUHw9fVFsWLF0KFDBxw7dkx3WabHKWA3dumS7Pi9dUuesJ5/Xm89ixcvRrFixVCxYkXExsZi2rRpWLZsGU6ePImi93kag9VERkaiU6dO6N27Nx566CHcvHkTAwcORFJSEvY5F8C5sQsXgKpV5bGcJ48cNXd3J4jffpPH97lzrl8rWVKmjoOj5iJ3/9f/s3jwPAD7mjUIbNs2Z/4QbsBKU8DXrslo36xZQFKSNMwfNEjaF%2BXPn76v8fffQNuqx7EpoQlK4lLy3/TwAObNk/U5lKaWLVsiODgYQUFBSEpKwqhRo3Do0CGEh4fDx8dHd3mmxQDoxvr2lSevevVkbZTR2k45f5hs2bIFTz31lO5yTCc0NBR169bF33//jbJly%2BouJ9tcuCBrqqKi5DH844%2Bpn129erW0jjl5Ut4viis4hzLwRkKKHx/ZuDH8t2/PpsrdjxUC4K1bwCefyDq/yP8/wrddO2DqVKBKlfv/evbHWsDv100p/2bevPIAL1gw4wVb0NWrV1GsWDFs374djRs31l2OaXEK2E2dOiVrU4AMn3aVrRISEjBnzhz4%2B/vjoYce0l2OKUVGRsJms6FAgQK6S8k2N28CTZq4WsB8803q4Q%2BQRtAnTkhz3okTgQEFFqYa/gDAb9cu4PLlLK6azCghQV4wV64sZ1hHRko/yS1b5IVFRsIfzp2D32%2BbU//92FjnAdl0HyL/P5kXKlRIcyXmxpNA3NSECTJt0by5qy2BEaxduxbBwcG4desWSpYsic2bN6NIkSK6yzKduLg4vPPOO3jxxRfddiTm0iWgRQvgr7%2BAfPmA2bOBrl3T97mBgfLmuHYemJH6x9kcDtw%2BdxGexYtnTdFuKiQkBCEhIbjt7HLsRhITpVPCpEnAmTPya%2BXLy3PoSy9lspnzhQv/7Vv0b3evW6B7Ukph8ODBaNSoEWrUqKG7HHPTdggdZZvjx5Xy9JSzKHP6vF%2BnhQsXKh8fnztvO3bsUEopFR0drU6cOKH27NmjevbsqcqXL68uX76sp0gDS%2B3vTymlEhIS1DPPPKNq167ttmdinjmjVJUq8hguUUKpQ4fu/2ssXLhQDfHych3MmsJbAnKpmiWuqGHDlDp4MOv/HO7Gnc5ijY1VatYspcqXdz0kSpRQ6tNPlYqLy6JvcuGCHLyexmNQzZ6dRd/MGvr27avKlSvH86izANcAuqFXXgG%2B/lp2rjnPRc1pUVFRuHzX1FqpUqWQN4XjR6pUqYKePXtixIgROVme4aX295eYmIjOnTvj1KlT%2BOmnn1C4cGGNVWaPP/%2BUZuXnz8tIzObNMi13v6KionD1%2BHGUb9QIHnFxKX7Mylyd8GzSsjvv16gBvPii7CauWDGDfwA35g5rACMjZTR5%2BnTpkAAAxYsDb78NvPGGjDZnqfbtU%2B1OnpjXF7kvXwB8fbP4m7qnAQMGYNWqVdixYwcqVKiguxzz051AKWudOaNUrlzywvLXX3VXc2%2BVKlVS48aN012GKSQkJKgOHTqo6tWrqytXruguJ1vs369UkSLy%2BH3wQaWy5EX%2BkiWu/xR3vZ0A1O9rN6kVK5Tq2FGpfw8W1q2r1EcfKfX331lQg5sw8wjg6dNKDR6slK%2Bv69%2B4dGmlZsxQKiYmG7/x2bPJhxn//y0eudWLeVZkaHTbahwOh%2BrXr58KCAhQx48f112O22AAdDP9%2B8vzS7NmuitJLjo6Wo0YMULt2bNHnTlzRu3fv1/16tVLeXt7q8OHD%2Bsuz/ASExNV%2B/btVenSpVVYWJiKiIi48xYfH6%2B7vCyxY4dSfn7y%2BK1TR6mrV7Pwix84oFTPniqxWjUVExiojvbooQoAaunSperAgQMqIiJC3byp1BdfKPXUU/%2BdtatXT6kPPlDq5MksrMmEzBYAHQ6ltmxRqkOH5P%2BmgYFKzZunVE7914k6c0Zd6N9fxTz4oDoMqLC6j6kugXsUINnQTV/PZZk%2Bffoof39/tW3btmTPfbdu3dJdmqkxALqRK1eUyptXnuC2bNFdTXKxsbGqY8eOKiAgQHl5eamSJUuq9u3bq7179%2BouzRROnz6tAKT49vPPP%2BsuL9M2bHA9dps0USq78sVXX32V4t/hv0ehL11SauZMpRo3VspmSx4Ga9VSatw4pX7/XQKGlZglAF65IqO3Vasm/7d7%2Bmml1q/P%2BX%2B3n3/%2BOYXHXSHl63tJAUo9/njOhVEzSu2576uvvtJdmqlxDaAbefddYPx4oE4dIDTUeK1fiFKyYgXwwguyG7N1a2D5cmmPZhQREcDKlVLn9u3A3Rthy5QB2raVPnFPPGGsurODkdcAJiYCGzfK%2BufVq%2BV9QJo2d%2BsG9OsnO8ONJDxczrCOipL1h7Nm6a6IrIQB0E3ExQHlysmZqUuWAMHBuisiurf582XTksMBdO4MLFgAeHnprip116/LmbCrVgGbNknTYKe8eYEnn5QzYlu0kI0r7vYizGgBUCng11/lOW/pUuDqVdfvPfoo0Lu3vLgw8h6LdevkBYRSsjnltdd0V0RWwQDoJr76CujZU0YkTp1Kfjg5kRF9/jnQp4/c9%2BwJzJkDeHrqrel%2BxMYCP/0kGzzXrZNdy3crX176cDZrJqOD7nDaoREC4O3bEvpWrJC3s2ddv1e0qPTu69EDMFN/%2BSlTgJEj5bi57duBxx7TXRFZAQOgG1BKpn0PHJBTP4YP110RUdo%2B/liObAOAAQOkJUemGu5qphRw%2BDCwfr0cVffLL64pSKdatSQINmkCNGoEFCumpdRM0RUA7XY5kWPdOhmBvXLF9Xv58wPPPCPte55%2BWkKU2SglI%2BDLl8sZ1r//DpQoobsqcncMgG5g926gYUMgTx4ZhXDD1nDkRiZPBkaPlvt33gHee8/9pkqjo2UkZ8sWeTt8%2BL8fU62a/L9t0EBGfB54wPghOKcCYGIisH%2B//N1t3izPcUlJrt/395e1l889B7Rs6R5rL6Oj5dz28HDg8ceBrVvNGWbJPBgA3UDXrsCiRbKWat483dUQpUwpYOxYOXILkKO2xozRW1NOuXIF2LZNQuH27XJW8b/5%2BgJBQbJ2rU4d4JFHpBm1IUKhUsCmTbCvWQP/kBBErloFv2eeybIvHxUlG9d%2B%2BQXYtUuuMTHJP6ZyZaBNGwl%2BjRsbe61oRh0/Lv/%2BUVHAoEEyUk6UXRgATe76dSAgQA4y37tXfoAQGY1SMtr3wQfy/gcfAMOG6a1Jpxs3ZFTrl1%2BAPXsk/Ny9ocQpf36ZOq5ZU04pqV4dePBBObkix0ZNr12T5LV3L%2BwA/AFEAvBr0EAWQBYqdF9f7uZN4NAhICxMpjr37ZNRr3//JCpUSKbMmzWTtZSVKmXRn8fgVq0COnaU%2B2XLgE6d9NZD7osB0OSmTQMGDwZq15YnUyKjUUrW%2B02bJu/PmAG8%2BabemowmKUlGBUNDJRDt3y8hKT4%2B5Y/39weqVgWqVJFgVLGidAEoVw4oVQrw9s7C4lq0kC3PQPIACMj21dWr//Mpt24Bf/8tG9L%2B%2BktGto4dk6B38WLK36ZsWZkKb9RIRvhq1DDI6KcGb78NfPihjArv3y//zkRZjQHQxJSSkYEjR4DPPnPtqCQyCqWAt94CPv1U3p81S/qd0b0lJcm5yH/8IWHwyBEJUKdO/Xe07N%2BKFZPNBCVKyGhh0aKyNrhQIaBAAcDPT8KFj4%2Bsn/P2linVXLkkdNls0prHFn4ERZ%2Bscefr/jsAKpsNH756HEcTK%2BPyZQl358/LzERaypaVXbqPPCLT3UFB3PRwt6QkoGlTYOdO%2BXv69VdZ402UlRgATSw0FKhbV54YIiLkiZ3IKJSSHb4hIRIo5swBXn1Vd1XmFxcHnDwpo2onT8oI2%2BnTwJkzwLlz8vtZ5RXMwzz0uvP%2Bf0YAAbyIRViCF//zub6%2BMjJZsaKMVlatKtPX1atLAKW0XbggMztXrwKvvy5tk4iyErvFmdjXX8v12WcZ/shYHA6gf38Z8bPZgC%2B/lE1KlHl58sj0aI0a//09pWTJ3oUL8qLw0iXZgHL1qozK3bwJ/POPtFWJipKp2lu3ZA1xfHzyU04AINbmI4dupaFpWx/UeExGGgMCZAq6TBl5TnK33d05qVQp2dzXooU0iH7ySaBLF91VkTvhCKBJxcfLFM/Nm3L8UfPmuisiEkrJsVvO8DdvnjTmJXNwOORqswG2KLskkehoACmMABYoIGkzXz49xVrAqFHSKsnPT3q9VqyouyJyFxZdYmt%2BP/4o4a9kSeCpp3RXQySUSj7y99VXDH9m4%2BHhWgcIPz/p3ZOa8eMZ/rLZu%2B9Kv0i73XVmNlFWYAA0qUWL5Prii%2BY6Povcl1Kyu/ezz1zhr3t33VVRpg0bJnOQFSq4fq1CBRnafestfXVZRK5cwOLFMti6d691emdS9uMUsAlFRckuv7g4aRHwyCO6KyKrU0raEU2fzjV/bsvhgP333%2BEfFITIf/6Bn7%2B/7oosZcUK6Qlos8kJKU2b6q6IzI4jgCa0Zo2EvypVZJcYkU5KyfnT06fL%2B3PnMvy5JQ8P2coLcHeHBs89B/TuLf/funWTZuJEmcEAaELLlsm1c2c%2BD5NeSsm5vh9%2BKO9//jnQq1fan0NEGTNtmmTwCxeA1167dz9IorQwAJpMdLRsAAGA55/XWwvRxImyQxGQZs%2Bvv663HiJ35uMj6wFz5ZIp4fnzdVdEZsYAaDIbNsj0b6VKckYokS4ffACMGyf3U6fK7l8iyl516sjOYEAarZ85o7UcMjEGQJNZtUquzz7L6V/S59NPZd0fICOAgwfrrYfISoYPl9YwUVGy0/7fDbyJ0oMB0EQSE4F16%2BS%2BQwe9tZB1ffGFtHsBpCXFiBF66yGyGk9P4JtvZEp4xw5gxgzdFZEZMQCayM6dQGSkHOxer57uasiKFi%2BWxecAMHSoayqKiHJWpUrAxx/L/ciRwNGjeush82EANJG1a%2BXapg2bP1POW7lS2k8oBfTpI2sAuQyBSJ/evYGWLeVo0O7dgaQk3RWRmTAAmohz%2BrdNG711kPVs2gQEB8tao%2B7dgZkzGf6IdLPZZElGgQJAaKi8KCNKLwZAkzh1Cjh%2BXEb%2Bnn5adzVkJbt2yZrThAQ5ieCLL6QnMBHpV6qUaw3gu%2B8CR47orYfMg0/jJrFxo1wbNgR4AhPllN9/lxHn2FigVSs5gzpXLt1VUU4LCQlBYGAggoKCdJdCKXj5ZaBtW3mR9sornAqm9GEANAlnAGzRQm8dZB1Hj8rjzW4HGjeWxrNeXrqrIh369euH8PBwhIaG6i6FUmCzAbNny%2BBAaKhrcwhRWhgATSApCfj5Z7nn9C/lhL//lsfatWvAo4/K%2BdN58%2BquiohSExAgR8UBwNixsmSIKC0MgCawf7%2BMwhQsCDzyiO5qyN1dugQ0aybnjQYGyukzfn66qyKie%2BnRA2jeXHYFv/oq4HDoroiMjAHQBH76Sa5PPMH2L5S9/vlH2kqcPAmULy%2B7f4sU0V0VEaWHcyrYx0f6xs6Zo7siMjIGQBNwTv82baq3DnJvt27JQvKDB4HixYHNm2WHIRGZR/nywOTJcj98uIzkE6WEAdDgEhOBX36R%2ByZN9NZC7isxEXj%2BeXmsFSggI3%2BVK%2Buuiogyon9/OS3KbgcGDNBdDRkVA6DB7d8vIzOFCgHVq%2BuuhtyRwyGtI9avl40ea9cCtWrproqIMsrTE5g7V1o2rVwJrFqluyIyIgZAg9u1S66NGrH5LmU9pYBBg1z9/VaskF6TRGRuNWsCw4bJff/%2BQFSU3nrIeBgpDM4ZAB9/XG8d5J4mTwY%2B%2BUTuv/5amj0TkXsYMwaoWFHWAY4Zo7saMhoGQANTCti9W%2B4bNNBbC7mf2bNdPxRmzABeeklvPUSUtfLmBWbNkvtPP5WTfYicGAAN7NQp4OpVIHdu9v%2BjrPX990DfvnI/ejTw5pt66yGi7NG8ORAcLGt933gDuH1bd0VkFAyABvbbb3J95BEgTx69tZD72LYNeOEF%2BYHQuzcwYYLuiogoO338sTRzDw1lb0ByYQA0sL175Vq3rt46yH2EhQHPPCOHxnfsKNNDNpvuqogoO5UsCUyaJPcjRwJXruith4yBAdDAGAApK50%2BLZs87HagcWNg8WKeLENkFX37ArVry2k/w4frroaMgAHQoJKSZLQGAIKC9NZC5nflCtCihZzzW6sW8MMPXFZA6RcSEoLAwEAE8cnItDw9gc8%2Bk/uvv3YdMEDWZVNKKd1F0H8dPix9nPLnByIj2QOQMi46Wo4RDA0FypWTneUBAbqrIjOy2%2B3w9/dHZGQk/Pz8dJdDGfDqq8CXXwIPPwzs28dZACtjrDAo53b92rUZ/ijjEhOBTp0k/BUuDGzcyPBHZGVTpshxj2Fh0gqKrIvRwqCc078PP6y3DjIvpeTV/saNQL58wLp1QLVquqsiIp2KFnVtCBk9Grh2TW89pA8DoEEdPChXBkDKqJEjgfnzZYrnu%2B/kcHgiotdfl7XAN29KCCRrYgA0IKWAP/6Q%2B1q19NZC5jRzJvD%2B%2B3I/Zw7Qpo3eeojIOHLlkpNBAHl%2BcM44kbUwABrQ5csyLG%2BzAYGBuqshs1mxwnWyx8SJQM%2BeeushIuNp3Bjo0kUGHN58U65kLQyABnTkiFwrVZK1W0TptWuXnOmrlBz7NGqU7oqIyKg%2B/FDOC965E1i2THc1lNMYAA3IGQCrV9dbB5nL0aNA%2B/ZAfLyc9jFzJk/5IKLUlSnjago9bBgQG6u3HspZDIAGdPSoXDn9S%2Bl18SLQsqUs6n7sMZ7yQUTpM2wYULo0cPasnBlM1sEAaEB//inXBx7QWweZg90OtG4tT%2BBVqwKrV3PpABGlT758wP/%2BJ/dTpgAREXrroZzDAGhAx47JlT3b6F4SEoDnnpO2QcWLAxs2AEWK6K6KjKhHjx6w2WzJ3urXr6%2B7LDKAF14A6tcHYmLYFsZKGAANJjra9QqMAZDSohTQuzewZQvg4yONnitW1F0VGVnLli0RERFx5239%2BvW6SyIDsNmAadPk/quv2BbGKhgADebkSbkWLizH9RClZswYV6PnZcuAOnV0V0RG5%2B3tjRIlStx5K1SokO6SyCDq1weCg%2BWF5ZAhbAtjBQyABuMMgJUr662DjG3OHGDyZLmfPRto1UpvPWQO27ZtQ7FixVC1alX07t0bV65c0V0SGciUKYCXF/DTTwAHh90fA6DB/PWXXCtV0lsHGde6dUCfPnI/dizQq5feesgcWrVqhUWLFuGnn37C1KlTERoaiqZNmyI%2BPj7Vz4mPj4fdbk/2Ru6rfHngrbfk/u23gaQkreVQNmMANJgzZ%2BTKtVyUkn37gM6dAYcD6NEDGD9ed0VkRIsWLUL%2B/PnvvO3cuRNdunRBmzZtUKNGDbRr1w4bNmzA8ePHsW7dulS/zpQpU%2BDv73/nrUyZMjn4pyAdRo4EChUCwsOBefN0V0PZiQHQYE6flmv58lrLIAM6fVrO9L11C2jeXKaB2eiZUtK%2BfXuEhYXdeXv00Uf/8zElS5ZEuXLlcOLEiVS/zogRIxAZGXnn7dy5c9lZNhlAgQIyswAA48bJxkRyT7l0F0DJ/f23XBkA6W43bsg6vytXgIceApYvB3Ln1l0VGZWvry98fX3T/Jjr16/j3LlzKFmyZKof4%2B3tDW9v76wujwyuTx/gk0%2BAU6ekObQzEJJ74QiggSgFOF9gly2rtxYyjrg4Odrt2DE5umn9euAeP9uJkomOjsbQoUOxZ88enDlzBtu2bUO7du1QpEgRdOzYUXd5ZDBeXsB778n9hx/KC09yPwyABvLPP9KIE5CjeYgcDqB7d2DXLsDfX8JfQIDuqshsPD09cejQITzzzDOoWrUqunfvjqpVq2LPnj33HCkka3r%2BeeDRR2UKeOJE3dVQdrApxW4/RnHoEFCrlizAvX5ddzVkBMOGAR99JNO9GzcCTz6puyKyMrvdDn9/f0RGRsLPz093OZTNfvoJeOopef45epTdKdwNRwAN5OJFuZYqpbcOMoaQEAl/gOzGY/gjopzUtCnQogWQmMh1gO6IAdBAnAGQU3y0ejXw5ptyP3ky0LWr3nqIyJqmTJHrkiU8Is7dMAAayKVLci1RQm8dpNfevXIkk8MhZ/2OGKG7IiKyqtq1XUfEjRqluxrKSgyABnL5slyLF9dbB%2Blz6hTQti0QGwu0bAl89hl7/RGRXhMmyJnj69cDO3fqroayCgOggTi32jMAWtONG0Dr1sDVq/Kq%2B7vvgFzs1ElEmlWp4jpycuRIGQ0k82MANJCrV%2BVatKjeOijn/bvX39q17PVHRMYxZgyQJ4%2B0pNq4UXc1lBUYAA3k2jW5Fimitw7KWc5zfdnrj4iMqnRpoG9fuR89mqOA7oAB0EBu3JBr4cJ666CcNWIE8O230mvr%2B%2B%2BBGjV0V0RE9F/vvAPkzw/s3w%2BsXKm7GsosBkADcQbAQoX01kE5Z9Ys4IMP5P7LL6XvFhGRERUtCgwcKPdjxwK3b%2ButhzKHAdAgkpLkyB0AKFBAby2UM9asAfr3l/uJE4GXX9ZbD1FqQkJCEBgYiKCgIN2lkGZDhshSlSNHZKMamRePgjOIGzdcU78JCTIdSO5r3z6gSRPg1i3ZXTd3Ltu9kPHxKDgCgEmTZFNI1aoSBNmtwJw4AmgQdrtc8%2BRh%2BHN3p09Lr79bt%2BSYpVmzGP6IyDzeeksGLI4fBxYv1l0NZRQDoEFERcmVrT/c240bQKtW0vT7oYdkCoWBn4jMxNcXGDZM7idMkCVMZD4MgAbhXP%2BXP7/eOij7xMUBHTpIr7/SpYF16wDOohGRGfXrJ5tC/voLWLBAdzWUEQyABhETI1cfH711UPZw9vrbuVNC34YNQKlSuqsiIsqY/Pldo4CTJgGJiXrrofvHAGgQsbFyzZtXbx2UPZy9/nLlYq8/InIPffsCxYrJGeYLF%2Bquhu4XA6BBxMXJlQHQ/Xz2WfJef089pbceIqKs4OOTfBSQawHNhQHQIBIS5OrlpbcOylqrVwMDBsj9xIlAt2566yEiykp9%2BshaQI4Cmg8DoEEwALqfvXuB4GBZ/9erFzBqlO6KiIiylo8PMHSo3E%2BezFFAM2EANAjnAlo21HQPf/0lvf5iY4GWLdnrj4jcV9%2B%2B0hfw5Elg6VLd1VB6MQAahPNMRQZA87t2TXr9Xb0K1K4NLFvGXn9E5L7y55cj4gAZBeQZwebAAGgQDodcPfgvYmq3bgHt2wMnTgDlykmvP/Z2JCJ3168fULAg8OefwIoVuquh9GDcMAjnicycJjSv27eBl14C9uyRJ8ING4CSJXVXRUSU/fz85Ig4QEYBnT/TyLgYAA2G/2nMSSlg4EBg1SrA2xv44QfgwQd1V0VElHPefFOOifvjD2DNGt3V0L0wABqEc%2BqXAdCcPvwQmDlT7hcsAB5/XG89RFkpJCQEgYGBCAoK0l0KGVjBgrIhBOAooBkwABqEp6dcuXjWfBYtAoYPl/tp04Dnn9dbD1FW69evH8LDwxEaGqq7FDK4wYPlQIO9e4GtW3VXQ2lhADQI5y5RnqdoLlu3Aq%2B8IveDB8s0MBGRVRUrBrz6qtxPnqy3FkobA6BBOAOgsyE0GV9YGNCxo4T2Ll1kGpiIyOqGDZOWZtu2yaY4MiYGQIPw9pZrfLzeOih9/v4baN0aiIoCnngC%2BOYbtvAhIgKAMmWAl1%2BW%2BylT9NZCqeOPLIPIm1eucXF666B7u34daNECiIgAatQAVq50BXgiIpJ10Tab7AY%2BfFh3NZQSBkCDyJdPrrdu6a2D0nbrFtCuHXDsmLzK3bABKFBAd1VERMZSrRrw3HNy/7//6a2FUsYAaBDOABgTo7cOSl1SEhAc7Gr0/OOPQOnSuqsiIjKmd96R65IlwJkzWkuhFDAAGoSvr1yjovTWQSlTCujTR6Yz8uSRa2Cg7qqIiIyrTh2gWTNpbzZ1qu5q6N8YAA3Cz0%2BukZF666CUjR0LfPGFbPRYsgRo2FB3RURExuccBfzyS%2BDaNb21UHIMgAbh7y/XxEQgNlZvLZRcSAgwaZLcz5oFdOigtx4iIrNo2lRGAmNjgU8/1V0N3Y0B0CB8fV2ngdy8qbcWcvnuO2DAALl/913gtdf01kNEZCY2G/D223IfEsJ17kbCAGgQHh6ysQCQNiOk39atQNeusv6vb19gzBjdFRERmc9zzwEVK8rPtnnzdFdDTgyABlKkiFy5TkK/fftkqjcxUc72/eQTeSVLRET3x9MTGDJE7qdNk44KpB8DoIEULSrXK1f01mF1x44BrVoB0dHAU08BCxa4pueJiOj%2B9eghgxynTwMrVuiuhgAGQEMpUUKuly/rrcPKzp8HmjeXUdg6dXjKBxFRVsiXD%2BjXT%2B4/%2BkiW1pBeDIAGUrKkXCMi9NZhVdeuSfg7exaoWlVO%2BXD2ZySysqix6Y4AAA9QSURBVJCQEAQGBiIoKEh3KWRi/fpJH9V9%2B4AdO3RXQwyABhIQINcLF/TWYUVRUUDr1sDRo3K6x%2BbNril5Iqvr168fwsPDERoaqrsUMrGiRWUqGJBRQNKLAdBAnMeKnTuntw6riYsDnnkGCA0FChcGNm0CypbVXRURkfsZNEg21K1dC/z5p%2B5qrI0B0ECcoePsWb11WEliItClC/Dzz0D%2B/HK%2B74MP6q6KiMg9Va0KtG8v99Om6a3F6hgADaR8ebmePStnJ1L2cjiAV14BVq%2BWjR5r1gCPPqq7KiIi9%2BZsCTN/PnD1qt5arIwB0EACAoDcuaVHEqeBs5dSsiB50SIgVy5g%2BXLgiSd0V0VE5P4aNZIX23FxwOef667GuhgADcTTU7qlA8DJk3prcWdKAcOHyxOPzSZ9/tq21V0VEZE12GzA4MFyHxICxMfrrceqGAANpmpVuR4/rrcOdzZxIvDhh3I/ezYQHKy3HiIiq%2BnUSTY%2BXr4MLF6suxprYgA0mGrV5MrdUdnjo4%2BAcePkfto0oHdvvfUQEVlR7tzAgAFyP306G0PrwABoMM4dqOHheutwRyEhwLBhcj9pEjBwoN56iIisrHdvOSHkjz%2BkEwPlLAZAg6lRQ66HDumtw93MnQv07y/3o0bJGxER6VOwoKsx9PTpWkuxJJtSHHg1kpgYOX5MKeDSJaB4cd0Vmd8330i7F6Wk/cCHH8oiZCK6P3a7Hf7%2B/oiMjISfn5/ucsgNHD8uS59sNrmvXFl3RdbBEUCD8fFxbQQ5cEBvLe5g4UJX%2BOvfn%2BGPiMhIqlaVYziVAj79VHc11sIAaECPPCLX/fv11mF2ixcD3bvLE8sbbwCffMLwR0RkNG%2B9Jdd58wC7XW8tVsIAaEBBQXLdu1dvHWa2ZAnw8sty2kfv3rIBhOGPiMh4nn4aeOABIDoa%2BOor3dVYBwOgAdWrJ9dff%2BXW%2BIxYvBjo2lXCX69e0vDZg490ogwLCQlBYGAggpyvTomykM3mGgWcOVOeuyn7cROIAcXFAf7%2BQEKCLIqtUkV3ReaxYIHsKnOGvzlzGP6Isgo3gVB2iYmRxtD//AOsXQu0aaO7IvfHH40GlCcPULeu3O/YobcWM5k3T9b8Oad9Gf6IiMzBx0detAOyXpuyH388GlSTJnJlc8z0%2BfxzefJQCujTh9O%2BRERm07evTAdv2gQcO6a7GvfHH5EG1bSpXLdu5TrAe/n4Ywl9gKwjCQlh%2BCMiMpuKFYG2beU%2BJERvLVbAH5MG1bChHJFz6ZIck0P/pRQwcaI0dwaAd96R832525eIyJyc5wN//TUQFaW1FLfHAGhQ3t7Ak0/K/fr1emsxIqXkXN%2BxY%2BX9iROBKVMY/oiIzKxZM2kJExUFzJ%2Bvuxr3xgBoYM6h8NWr9dZhNLdvyyaPqVPl/WnTgNGj9dZERESZZ7PJWkBAWsJwCVT2YRsYA7t4EShVSu7Pn3fdW1lcHPDSS8D338s6v7lzgZ49dVdFZA1sA0M5wW6Xn3fR0cCWLcBTT%2BmuyD1xBNDAAgKABg3kfsUKvbUYQWQk0KqVhD8vL2DZMoY/IiJ34%2BcHdOsm99wMkn0YAA2uc2e5Llqktw7dLl4EGjcGtm0DfH2BH38Enn1Wd1VERJQdnNPAq1cD587prcVdMQAaXJcugKennAts1b5I4eHAY4/JbujixYHt210bZIgI%2BP7779GiRQsUKVIENpsNYWFh//mY%2BPh4DBgwAEWKFIGPjw/at2%2BP8%2BfPa6iW6N6qVweeeELWfM%2Berbsa98QAaHAlSsi0JwB8%2BaXeWnTYtk1a4pw9C1StCuzZA9SurbsqImOJiYlBw4YN8f7776f6MQMHDsTKlSuxdOlS7Nq1C9HR0Wjbti1u376dg5USpZ9zFPCLL%2BRoVMpa3ARiAqtWAR07AkWKyFB4njy6K8oZ8%2BcDr74KJCbKWsgffpC/AyJK2ZkzZ1ChQgUcOHAADz/88J1fj4yMRNGiRbFgwQJ06dIFAHDx4kWUKVMG69evR4sWLdL19bkJhHJSYiJQrhwQEQEsWQIEB%2BuuyL1wBNAE2rYFypQBrl0Dvv1WdzXZz%2BEARo2Sc30TE4Hnn5cTURj%2BiDJm//79SExMRPPmze/8WkBAAGrUqIHdu3en%2Bnnx8fGw2%2B3J3ohySu7c0vILAGbN0luLO2IANIFcuVxD4VOnundfpOhooFMn4L335P2RI4GlS60z6kmUHS5dugQvLy8ULFgw2a8XL14cly5dSvXzpkyZAn9//ztvZcqUye5SiZLp3VvWwe/YARw5orsa98IAaBKvvw7kzw8cOgSsXau7muxx6pRM9a5cKW1evvkGmDyZ5/oS3W3RokXInz//nbedO3dm%2BGsppWBL4/icESNGIDIy8s7bOW7HpBxWujTQvr3cf/653lrcDX%2B0mkTBgq5RwHffdb9RwE2bgKAgCbjFi8vmD2cfKCJyad%2B%2BPcLCwu68Pfroo/f8nBIlSiAhIQE3b95M9utXrlxB8eLFU/08b29v%2BPn5JXsjymlvvCHX%2BfOBmBi9tbgTBkATGTpURgH37weWL9ddTdZwOIBJk4CWLYEbNyQE7tsnbV%2BI6L98fX1RuXLlO2958%2Ba95%2BfUqVMHuXPnxubNm%2B/8WkREBA4fPowGzm7zRAbVrBlQubKcELJkie5q3AcDoIkULSohEACGD5dj0czs2jXZ4DJmjIxovvqqrPMoXVp3ZUTmcuPGDYSFhSE8PBwAcOzYMYSFhd1Z3%2Bfv749evXphyJAh2Lp1Kw4cOICuXbuiZs2aaNasmc7Sie7JwwN47TW55zRw1mEANJmhQ%2BWMxNOngSlTdFeTcTt2AA8/DGzYIBs8vvxSzvXlZg%2Bi%2B7d69WrUrl0bbdq0AQAEBwejdu3a%2BPyun5bTpk1Dhw4d0LlzZzRs2BD58uXDmjVr4OnpqatsonTr0UPWhu/fL7NElHnsA2hCy5bJEXG5cwO//w7UqKG7ovRLTAQmTJBdvg6HNHdetgyoVUt3ZUR0L%2BwDSDq99BKweLHMFs2dq7sa8%2BMIoAl16iS7ohITga5dgfh43RWlz59/yqkekyZJ%2BOveXV7NMfwREdG9vP66XJcskfWAlDkMgCZks8nZiEWKAAcPAoMH664obbdvS//C2rWB0FCgQAHp7ff117KphYiI6F4efxx48EHZCbxoke5qzI8B0KRKlJA%2BeQDw2WdyVqIRHTwovf2GDpVNK82bS6uX/z%2BNioiIKF1sNtdmkDlz3K8dWk5jADSx1q2lJyAgfZLWrdNbz93sdmDIEKBOHWDvXsDfX9Zs/Pgjd/kSEVHGdOsGeHsDYWHcDJJZDIAmN2YM8PLLMs363HMSsHS6fRuYNw%2BoVg34%2BGNXXeHhsnA3jUMHiIiI0lSokKyDB2QUkDKOAdDkbDZpofLMM7IZpH17YMGCnK9DKTmirnZtoFcv4NIloEoVYP16aVodEJDzNRERkftxTgMvWQJERemtxcwYAN1A7tzAd9/JurrERBkiHzQoZ3YHOxzAmjVAvXpAu3ayvu//2rt70KbWMIDjT0TLVWhSQQUFseAiseCUzQ86qUMHnRwctOLg6CLo4CKCg6BLVkXoJAhCF8FFcBEUBOkgglgpKCgObezkR%2B7wUrhTqbeWk5Pn91uSUmiepfTf95zzvmNjEbdvR8zNRZw8ufEzAJDHkSPlKtPyspNB1kMADomRkbI/0tWr5eu7d8uxai9ebMznff9enkSemCirji9fRmzbFnHlSsT79%2BX%2Bv5GRjflsAPJqNCIuXizv7Qf4/9kIegjNzkZMT5ej1iLKptHXrkUcOrS%2Bn/vrV8Tz5xEzM2XFcWXpvdmMuHSpbEeza9f6PgMYXDaCZlB8/VpOxfrxI%2BL163KyFH/GCuAQmpoqD12cP1/%2BU3r4sPxyHD4c0e1GzM%2Bv7ef0%2BxEfP5b9ls6di9i9O2Jystxz2OuVe/zu3IlYWIi4dUv8wbDqdrvRbrej0%2BlUPQpERMTOnRGnTpX3g7oN2qCzAjjk3ryJuHkz4tGjsoK3Ys%2Becvl2//7yi7R1a/l%2Br1ce4PjwoUTkyiriiu3bI06fLk8eHz3qqV7IxAogg%2BTp07K3bKsV8flz%2BTvG2gnAJD59KvcIPn5c7gv8bwyuZvPmsno4ORlx4kS5%2BXbLlo2dFRhMApBB8vt3WcSYny%2B7X5w9W/VE9SIAE1peLvdMvH1bLvF%2B%2B1ZO6di0KWJ0tKwI7tsXceBAxMGDEf/8U/XEwCAQgAyaGzcirl%2BPOHYs4tmzqqepFwEIwJoIQAbNwkLE%2BHhZDXz3rtybztp4CAQAqKW9eyOOHy/v792rdpa6EYAAQG1duFBeHzyI%2BPmz2lnqRAACALU1NRWxY0d5EvjJk6qnqQ8BCADU1shI2ZoswmXgPyEAAYBam54ur7OzEV%2B%2BVDtLXQhAAKDWJiYiOp1yD%2BDMTNXT1IMABABqb2UV8P79cpQpqxOAAEDtnTlTDi6Ym4t49arqaQbf5qoHAABYr7GxiMuXy%2Bv4eNXTDD4ngQCwJk4CgeHhEjAAq%2Bp2u9Fut6PT6VQ9CvCXWAEEYE2sAMLwsAIIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAFbV7Xaj3W5Hp9OpehTgL2n0%2B/1%2B1UMAMPiWlpai1WrF4uJiNJvNqscB1sEKIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAKyq2%2B1Gu92OTqdT9SjAX9Lo9/v9qocAYPAtLS1Fq9WKxcXFaDabVY8DrIMVQACAZAQgAEAyAhAAIBn3AAKwJv1%2BP3q9XoyOjkaj0ah6HGAdBCAAQDIuAQMAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCS%2BRf0q9dL9fCLFgAAAABJRU5ErkJggg%3D%3D'}
Genus 2 curve data - 2405.a.2405.1