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g2c_curves • Show schema
{'Lhash': '1348637018795864308', 'abs_disc': 11664, 'analytic_rank': 1, 'analytic_rank_proved': True, 'analytic_sha': 1, 'aut_grp_id': '[4,2]', 'aut_grp_label': '4.2', 'aut_grp_tex': 'C_2^2', 'bad_lfactors': '[[2,[1,0,2]],[3,[1]]]', 'bad_primes': [2, 3], 'class': '11664.a', 'cond': 11664, 'disc_sign': 1, 'end_alg': 'Q x Q', 'eqn': '[[0,0,0,0,0,0,-1],[1]]', 'g2_inv': "['6400000/3','440000/9','-32000/81']", 'geom_aut_grp_id': '[24,8]', 'geom_aut_grp_label': '24.8', 'geom_aut_grp_tex': 'C_3:D_4', 'geom_end_alg': 'M_2(CM)', 'globally_solvable': 1, 'has_square_sha': True, 'hasse_weil_proved': True, 'igusa_clebsch_inv': "['40','45','555','6']", 'igusa_inv': "['120','330','-320','-36825','11664']", 'is_gl2_type': True, 'is_simple_base': False, 'is_simple_geom': False, 'label': '11664.a.11664.1', 'leading_coeff': {'__RealLiteral__': 0, 'data': '1.02235118772541292715803151443189308326436275062257', 'prec': 173}, 'locally_solvable': True, 'modell_images': ['2.120.2', '3.8640.7'], 'mw_rank': 1, 'mw_rank_proved': True, 'non_solvable_places': [], 'num_rat_pts': 2, 'num_rat_wpts': 0, 'real_geom_end_alg': 'M_2(C)', 'real_period': {'__RealLiteral__': 0, 'data': '10.216231435665113070244389012', 'prec': 100}, 'regulator': {'__RealLiteral__': 0, 'data': '0.90064137128', 'prec': 44}, 'root_number': -1, 'st_group': 'D_{6,2}', 'st_label': '1.4.F.12.4d', 'st_label_components': [1, 4, 5, 12, 4, 3], 'tamagawa_product': 1, 'torsion_order': 3, 'torsion_subgroup': '[3]', 'two_selmer_rank': 1, 'two_torsion_field': ['3.1.108.1', [-2, 0, 0, 1], [3, 2], False]} -
g2c_endomorphisms • Show schema
{'factorsQQ_base': [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], 'factorsQQ_geom': [['2.0.3.1', [1, -1, 1], 1]], 'factorsRR_base': ['RR', 'RR'], 'factorsRR_geom': ['M_2(CC)'], 'fod_coeffs': [1, 6, 21, 50, 78, 78, 47, 12, -6, -8, -3, 0, 1], 'fod_label': '', 'is_simple_base': False, 'is_simple_geom': False, 'label': '11664.a.11664.1', 'lattice': [[['1.1.1.1', [0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], ['RR', 'RR'], [2, -1], 'D_{6,2}'], [['2.0.3.1', [1, -1, 1], ['-546/59', '-2590/59', '-7870/59', '-15636/59', '-19194/59', '-14170/59', '-4948/59', '524/59', '2365/59', '914/59', '296/59', '-384/59']], [['2.0.3.1', [1, -1, 1], -1], ['2.0.3.1', [1, -1, 1], -1]], ['CC', 'CC'], [4, -1], 'C_6'], [['2.2.12.1', [-3, 0, 1], ['-36/5', '-186/5', '-589/5', -226, -268, '-926/5', '-314/5', '67/5', 30, 13, '11/5', '-23/5']], [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], ['RR', 'RR'], [2, -1], 'D_{3,2}'], [['2.0.4.1', [1, 0, 1], ['-3344/295', '-15678/295', '-51411/295', '-106596/295', '-131424/295', '-19200/59', '-33294/295', '897/59', '15786/295', '6469/295', '327/59', '-2499/295']], [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], ['RR', 'RR'], [2, -1], 'D_{3,2}'], [['3.1.108.1', [-2, 0, 0, 1], ['1788/295', '1601/59', '22837/295', '41313/295', '46267/295', '30161/295', '9336/295', '-2977/295', '-4903/295', '-2147/295', '-131/295', '137/59']], [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], ['RR', 'RR'], [2, -1], 'D_{2,1}'], [['3.1.108.1', [-2, 0, 0, 1], ['-78/5', '-368/5', '-1157/5', -457, -545, '-1938/5', '-647/5', '111/5', 64, 26, '28/5', '-49/5']], [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], ['RR', 'RR'], [2, -1], 'D_{2,1}'], [['3.1.108.1', [-2, 0, 0, 1], ['2814/295', '13707/295', '45426/295', '93502/295', '114508/295', '84181/295', '28837/295', '-3572/295', '-13977/295', '-5523/295', '-1521/295', '2206/295']], [['1.1.1.1', [0, 1], -1], ['1.1.1.1', [0, 1], -1]], ['RR', 'RR'], [2, -1], 'D_{2,1}'], [['4.0.144.1', [1, 0, -1, 0, 1], ['-122/59', '-2352/295', '-1666/59', '-19963/295', '-26182/295', '-20683/295', '-7384/295', '266/295', '3468/295', '1317/295', '493/295', '-571/295']], [['2.0.3.1', [1, -1, 1], -1], ['2.0.3.1', [1, -1, 1], -1]], ['CC', 'CC'], [4, -1], 'C_3'], [['6.0.34992.1', [1, -3, 0, 5, 0, -3, 1], ['11/295', '-277/59', '-5006/295', '-6564/295', '-4061/295', '617/295', '1477/295', '1606/295', '-161/295', '81/295', '-457/295', '28/59']], [['2.0.3.1', [1, -1, 1], -1], ['2.0.3.1', [1, -1, 1], -1]], ['CC', 'CC'], [4, -1], 'C_2'], [['6.2.559872.1', [1, 6, 3, -2, -3, 0, 1], ['461/59', '10229/295', '6717/59', '74651/295', '98539/295', '76211/295', '28428/295', '-1717/295', '-12411/295', '-5184/295', '-1786/295', '2132/295']], [['1.1.1.1', [0, 1], 1]], ['M_2(RR)'], [12, 0], 'C_{2,1}'], [['6.2.559872.1', [1, 6, 3, -2, -3, 0, 1], ['-63/59', '-582/295', '-781/59', '-9638/295', '-13497/295', '-10358/295', '-3844/295', '266/295', '1698/295', '727/295', '198/295', '-276/295']], [['1.1.1.1', [0, 1], 1]], ['M_2(RR)'], [12, 0], 'C_{2,1}'], [['6.2.559872.1', [1, 6, 3, -2, -3, 0, 1], [-1, -5, -15, -35, -43, -35, -12, 0, 6, 2, 1, -1]], [['1.1.1.1', [0, 1], 1]], ['M_2(RR)'], [12, 0], 'C_{2,1}'], [['6.0.186624.1', [2, 0, 0, -2, 0, 0, 1], ['2186/295', '1968/59', '28714/295', '55236/295', '65069/295', '47202/295', '15657/295', '-2099/295', '-7966/295', '-2944/295', '-897/295', '249/59']], [['1.1.1.1', [0, 1], 1]], ['M_2(RR)'], [4, 0], 'C_{2,1}'], [['6.0.186624.1', [2, 0, 0, -2, 0, 0, 1], ['-29/295', '-85/59', '-3081/295', '-11739/295', '-19196/295', '-16913/295', '-7273/295', '-399/295', '2704/295', '1181/295', '588/295', '-106/59']], [['1.1.1.1', [0, 1], 1]], ['M_2(RR)'], [4, 0], 'C_{2,1}'], [['6.0.186624.1', [2, 0, 0, -2, 0, 0, 1], ['1856/295', '7671/295', '24904/295', '10559/59', '13414/59', '49401/295', '17839/295', '-2312/295', '-1583/59', '-709/59', '-816/295', '1293/295']], [['1.1.1.1', [0, 1], 1]], ['M_2(RR)'], [4, 0], 'C_{2,1}'], [['', [1, 6, 21, 50, 78, 78, 47, 12, -6, -8, -3, 0, 1], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [['2.0.3.1', [1, -1, 1], 1]], ['M_2(CC)'], [16, -1], 'C_1']], 'ring_base': [2, -1], 'ring_geom': [16, -1], 'spl_facs_coeffs': [[[0], [54]], [[0], [-216]]], 'spl_facs_condnorms': [432, 27], 'spl_facs_labels': ['432.d1', '27.a4'], 'spl_fod_coeffs': [0, 1], 'spl_fod_gen': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'spl_fod_label': '1.1.1.1', 'st_group_base': 'D_{6,2}', 'st_group_geom': 'C_1'} -
g2c_ratpts • Show schema
{'label': '11664.a.11664.1', 'mw_gens': [[[[1, 1], [1, 1], [1, 1]], [[0, 1], [1, 1], [0, 1], [0, 1]]], [[[0, 1], [0, 1], [1, 1]], [[-1, 1], [0, 1], [0, 1], [0, 1]]]], 'mw_gens_v': True, 'mw_heights': [{'__RealLiteral__': 0, 'data': '0.90064137127974998706372712793895', 'prec': 113}], 'mw_invs': [0, 3], 'num_rat_pts': 2, 'rat_pts': [[0, -1, 1], [0, 0, 1]], 'rat_pts_v': True} - g2c_galrep • Show schema
- g2c_tamagawa • Show schema
-
g2c_plots • Show schema
{'label': '11664.a.11664.1', 'plot': 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ljxswYIAmT55cdvtXv/qV5s2bp7Vr1%2Brjjz/WNddco4KCAt188821VyyAmPLLX/5Sf/7zn/X0009r%2BfLl%2BsUvfqENGzbozjvvlCT97Gc/05gxY8oe/%2BCDD%2BrNN9/UmjVrtGjRIt16661atGhR2eNr2sCB0uLF1pdGIta3nn%2B%2B9bVAdZzAATegembPlm66yU5h0Ly59Je/SFdeWTevPWrUKO3bt0/Dhw/Xzp071bt3b82ZM0fJycllj1m9erW2b99edvvrr7/WDTfcoO3bt6tly5Y677zztGDBArVv375uigbg3I9//GPt2LFDDz30kDZv3qwzzzxT//rXv8r6gQ0bNighITqHsmvXLt1xxx3Ky8tTamqqevbsqffee0/nnnturdWYnCxNmWJrBG%2B9VcrNlXr1kqZPtyslAUfCpeBQayIRacIE6X/%2Bx/Z797brYLZr57oy4Oi4FBz8ZMMG6dprpU8%2BsS%2BOjBsnjR59fF%2BoQzBwCBi1oqjIFiqPGWPh7447pHnzCH8AUBvatZPee8/62kjE%2Bt6hQ60vBipDAESN27XLDj8895xUr570xBPSn/4kJSa6rgwA4ldiovW1OTnW9z77rPXF%2BfmuK0MsIgCiRm3ZIvXvbydyTk6W/vUv6ec/d10VAATH8OF28ujkZOuL%2B/WzvhkojwCIGrNxo3TBBXaS0rQ0O%2BR7yJWUAAB14OKLrQ9OS7M%2B%2BYILrI8GPARA1Ij16%2B2alatW2fn9PvxQ6tnTdVUAEFw9e1pf3KGD9c39%2BllfDUgEQNSAr7%2B2i5evW2cXK3/vPalTJ9dVAQA6dbI%2BuXNnae1a66u//tp1VYgFBECckK1b7YSka9daR/POO1JmpuuqAACezEzrmzt1sr564EDruxFsBEAct8JC%2B4bZihV2CoK335batnVdFQDgUG3bWh%2BdmWl99iWXWB%2BO4CIA4rgcOCBdfbX06ad2bUrvupSA3%2BXk5CgcDisrK8t1KUCNat9eeust67M//VS65hrryxFMXAkEx8w7sfOf/ywlJdk3zc45x3VVQM3iSiCIV7m5drquvXvtWsJPPcUVQ4KIGUAcs8ces/CXkCC99BLhDwD8JCvL%2Bu6EBOvLH3vMdUVwgQCIYzJ3rnTPPbY/aZI0ZIjbegAAx27IEOnRR23/nnusb0ewEABRbevXS9dfL5WWSrfcIt11l%2BuKAADH6%2B67rS8vLbW%2BnXMEBgsBENVSXCxde6307bd2yPeJJ1gzAgB%2BFgpZX37OOda3X3ut9fUIBgIgquXee23hcPPm0t/%2BJjVq5LoiAMCJatTI%2BvTmza2Pv/de1xWhrhAAcVRvvBFdJDxtGqd7AYB40r69NHWq7T/2mPX5iH8EQBzR9u3S0KG2P2KEdPnlTssBANSCK66wPl6ydYHbt7utB7WPAIgj%2BvnPpS1bpHBYevhh19UAAGrLww9bX5%2BXZ30/4hsBEFX6619tbUj9%2BtJzz7HuDwDiWaNG1tfXr299/1//6roi1CYCICq1Y4eUnW37Y8ZIvXq5rQcAUPt69bI%2BX7JDwjt2uK0HtYcAiErdc4%2B0bZsdDrj/ftfVAADqyn33Wd%2B/dWv0xP%2BIPwRAHOb996VnnrH9KVOkhg3d1gMAqDuJidb3SzYWvP%2B%2B23pQOwiAqKCkJHro9/bbpT593NYDAKh7ffrYGCDZmFBS4rYe1DwCICp48klp8WLppJOk8eNdVwPUvZycHIXDYWVlZbkuBXBq/HgbCxYvlv74R9fVoKaFIpFIxHURiA3ffit17izt3GmXB%2BI0AAiygoICpaamKj8/XykpKa7LAZx48klp%2BHALgqtWWYv4wAwgyvz2txb%2BunWLTv0DAILr9tulM8%2B0CYLf/tZ1NahJBEBIktaulSZPtv2HH7bzQAEAgq1%2BfemRR2w/J8fGCsQHAiAkSb/5jXTggDRwoHTxxa6rAQDEisGDbWwoLraxAvGBNYDQ0qV22DcSkf7zH%2Bnss11XBLjHGkAg6j//kbKypFDIvhRyxhmuK8KJYgYQevBBC39XXUX4AwAc7pxzbIyIRGzMgP8xAxhwS5bY7J8kffFFdB8IOmYAgYoWL5a6d7dZwC%2B%2BsC%2BHwL%2BYAQy4ceOsvfpqwh8AoGrdutlYEYlExw74FzOAAfbVV9Jpp0mlpdJnn0k9eriuCIgdzAACh/vsM6lXLykhQVq5UurUyXVFOF7MAAbYo49a%2BLvkEsIfYlckEtHYsWOVkZGhxo0bq3///lq6dOkRnzN%2B/HhlZWUpOTlZrVq10o9%2B9COtWLGijioG4lfPnjZmlJbaGAL/IgAG1LZt0tSptj96tNNSgCOaOHGiJk2apMmTJys3N1fp6ekaNGiQCgsLq3zOvHnzlJ2drQULFmju3LkqKSnR4MGDtWfPnjqsHIhPo0ZZ%2B8wzNpbAnzgEHFAPPWTnczrnHOmTT2xRLxBrIpGIMjIyNHLkSI3%2B7pNKUVGR0tLSNGHCBA0bNqxav2fbtm1q1aqV5s2bpwsvvLBaz%2BEQMFC5SEQ691w7NcyDD0oPPOC6IhwPZgADqLjYru8oSb/4BeEPsWvt2rXKy8vT4MGDy%2B5LTExUv379NH/%2B/Gr/nvz8fEnSSVzIFDhhoZCNHZKNJcXFbuvB8SEABtDf/ibl5UkZGdK117quBqhaXl6eJCktLa3C/WlpaWU/O5pIJKJf/vKXOv/883XmEc5bUVRUpIKCggobgMpdc42NIXl5NqbAfwiAAZSTY%2B2wYVKDBm5rAcqbPn26mjZtWrYdOHBAkhQ6ZJo6Eokcdl9VRowYoS%2B%2B%2BEIvvPDCER83fvx4paamlm2ZmZnH90cAAdCwoXTHHbbvjSnwF9YABswXX0hnnWUX%2BN6wQWrd2nVFQFRhYaG2bNlSdruoqEhnnnmmPv30U/Xs2bPs/h/%2B8Idq1qyZpk2bdsTf91//9V967bXX9N5776ljx45HfGxRUZGKiorKbhcUFCgzM5M1gEAVNm%2BW2rWTSkqkzz%2B3k0TDP5gBDJgpU6z94Q8Jf4g9ycnJ6ty5c9kWDoeVnp6uuXPnlj2muLhY8%2BbNU58%2Bfar8PZFIRCNGjNCrr76qf//730cNf5KtLUxJSamwAaha69Y2lkjRsQX%2BQQAMkH37pOees31v6h6IZaFQSCNHjtS4ceM0c%2BZMLVmyREOHDlVSUpJuvPHGsscNGDBAkydPLrudnZ2t559/XjNmzFBycrLy8vKUl5enffv2ufgzgLh1%2B%2B3WPv%2B8jTHwj/quC0DdmTlTys%2BX2reXBg50XQ1QPaNGjdK%2Bffs0fPhw7dy5U71799acOXOUnJxc9pjVq1dr%2B/btZbef/O5r7v3796/wu5555hkNHTq0LsoGAmHQIBtT1q%2B3Mabc5zLEONYABsjgwdLcuXbOpgcfdF0NENs4DyBQPb/5jZ1bdtAgac4c19WgugiAAbFpk5SZaSfwXL1aOuUU1xUBsY0ACFTPmjV2TeCEBPtyYZs2ritCdbAGMCBeeMHCX9%2B%2BhD8AQM055RQbW0pLpRdfdF0NqosAGBAzZlh7001u6wAAxB9vbPHGGsQ%2BDgEHwMqV0mmn2bn/Nm%2BWWrRwXREQ%2BzgEDFTf9u1Serp08KC0YoV06qmuK8LRMAMYAC%2B/bO2AAYQ/AEDNa9EienYJb8xBbCMABsBf/2rtdde5rQMAEL%2B8McYbcxDbOAQc5776SurSxQ7/btkinXSS64oAf%2BAQMHBsvv1WSkuzS8OtWiV17uy6IhwJM4BxbuZMa/v3J/wBAGrPSSdJ/frZ/muvua0FR0cAjHN//7u1P/qR2zoAv8jJyVE4HFZWVpbrUgDfufJKawmAsY9DwHFs2zabjo9EpI0bpbZtXVcE%2BAeHgIFjt3Gj1K6dFArZsqOWLV1XhKowAxjHZs%2B28NejB%2BEPAFD7MjNtzIlEbAxC7CIAxrFZs6wdMsRtHQCA4LjsMmu9MQixiQAYp0pKohflvvRSt7UAAILDG3PmzLGxCLGJABinPvlE2rVLat5cOvdc19UAAIKid28be3btknJzXVeDqhAA45Q3%2BzdwoFSvnttaAADBUa9e9Kogb77pthZUjQAYp%2BbOtXbwYLd1AACCZ9Aga72xCLGHABiHdu%2B2Q8BS9FMYAAB1xRt7PvnExiTEHgJgHHr/fVt427Gj1KGD62oAAEHTsaNtJSU2JiH2EADj0DvvWPv977utAwAQXN4Y9O67TstAFQiAcWjePGv793daBgAgwLwxiAAYmwiAcWbPHmnhQtu/8EK3tQAAgssbgz791MYmxBYCYJz5%2BGPp4EG7HE/79q6rAQAEVbt2NhaVlNjYhNhCAIwzH3xg7fnnu60DABBsoZDUt6/tf/ih21pwOAJgnJk/39o%2BfdzWAfhVTk6OwuGwsrKyXJcC%2BJ4XAL2xCbEjFIlEIq6LQM0oLZVOPtkuv/Of/0hnn%2B26IsC/CgoKlJqaqvz8fKWkpLguB/ClhQulc86RmjWTduyQEph2ihn8U8SRVass/DVqJHXv7roaAEDQde9uY9KuXTZGIXYQAOOId/WPXr2kBg3c1gIAQIMGUs%2Betu%2BNUYgNBMA4kptrLUuXAACx4txzrfXGKMQGAmAc8c7/RwAEAMQKb0zyxijEBgJgnDh4UFq0yPb58gcAIFb06mXtokU2ViE2EADjxMqV0t69UlKS1KWL62oAADCnnmpj0969NlYhNhAA44Q3%2B9e9u1SvnttaAADw1KsXPTOFN1bBPQJgnPj8c2t79HBbBwAAhzrrLGu9sQruEQDjxBdfWMv5/wAAscYLgN5YBfcIgHFiyRJru3VzWwcAAIfyxiZvrIJ7BMA4UFAgbdxo%2B2ec4bYWAAAO5Y1NGzfamAX3CIBxYNkyazMypObN3dYCAMChmjeXWre2fW/MglsEwDjgvZlOP91tHQAAVCUctnb5crd1wBAA48CXX1pLAAROXE5OjsLhsLK4pA5Qo7wxigAYGwiAcWDFCmu7dnVbBxAPsrOztWzZMuVy4VKgRnljlDdmwS0CYBzwzqx%2B2mlu6wAAoCreGMXVQGIDAdDnSkqk1attn0vAAQBilTdGrV7NNYFjAQHQ5zZulA4ckBo2lNq2dV0NAACVa9vWxqoDB6KnLoM7BECf82b/TjmFawADAGJXvXpSx462/9VXbmsBAdD31qyxtlMnt3UAAHA03ljljV1whwDoc96byPtUBQBArDrlFGsJgO4RAH1u7VprCYAAgFjXoYO169a5rAISAdD3Nmywtn17t3UAAHA03li1fr3bOkAA9D0vALZr57YOoLZEIhGNHTtWGRkZaty4sfr376%2BlS5dW%2B/njx49XKBTSyJEja7FKANXhBUBv7II7BEAfO3BA2rzZ9gmAiFcTJ07UpEmTNHnyZOXm5io9PV2DBg1SYWHhUZ%2Bbm5urp556St27d6%2BDSgEcTWamtZs32xgGdwiAPvbNN1IkYudVatnSdTVAzYtEInr88cd133336aqrrtKZZ56padOmae/evZoxY8YRn7t7927ddNNNmjJlipo3b15HFQM4klatbMyKRGwMgzsEQB/7%2BmtrMzKkBP4lEYfWrl2rvLw8DR48uOy%2BxMRE9evXT/Pnzz/ic7Ozs3XZZZdp4MCBtV0mgGpKSJBat7b9TZvc1hJ09V0XgOPnfXpq08ZtHUBtycvLkySlpaVVuD8tLU3rj7CK/MUXX9Snn36q3Nzcar9WUVGRioqKym4XFBQcY7UAqqNNG/sSCAHQLeaNfMwLgBkZbusAasr06dPVtGnTsu3Ad4uEQqFQhcdFIpHD7vNs3LhRd999t55//nk1atSo2q89fvx4paamlm2Z3mIlADXKG7O8NexwgwDoY99NjpRNpwN%2Bd8UVV2jRokVlW4sWLSRFZwI9W7duPWxW0LNw4UJt3bpVZ599turXr6/69etr3rx5%2Bv3vf6/69evrYBVXoR8zZozy8/PLto1crBSoFd6YRQB0i0PAPuaNienpbusAakpycrKSk5PLbkciEaWnp2vu3Lnq2bOnJKm4uFjz5s3ThAkTKv0dAwYM0OLFiyvcd8stt6hr164aPXq06lVx0ezExEQlJibW0F8CoCpeADzkcx3qGAHQx7ZssbaKiRDA97zz940bN05dunRRly5dNG7cOCUlJenGG28se9yAAQN05ZVXasSIEUpOTtaZZ55Z4fc0adJEJ5988mH3A6h7rVpZu3Wr2zqCjgDoY96bh1PAIJ6NGjVK%2B/bt0/Dhw7Vz50717t1bc%2BbMqTBTuHr1am3fvt1hlQCqiwAYG0KRSCTiuggcnw4d7JtUH30knXee62qA%2BFJQUKDU1FTl5%2BcrJSXFdTlA3FiwQPre9%2ByqIFwT2B2%2BBOJj3oQR58FeAAAgAElEQVQHM4AAAL/47rtdYtLeLQKgT%2B3fL%2B3ZY/snn%2By2FgAAqssLgHv22FgGNwiAPvXtt9YmJEgcnQIA%2BEVKSvTqVd5YhrpHAPSpnTutbd6cy8ABAPwjIcHGLik6lqHuER18qnwABADAT5o1s5YA6A4B0Kd27bLWexMBAOAX3tiVn%2B%2B2jiAjAPqU96Zh/R8AwG9SU60lALpDAPSpggJrvTcRAAB%2B4U1eeGMZ6h4B0Kd277a23MUQAADwBS8AFha6rSPICIA%2B5b1pmjZ1WwcQb3JychQOh5WVleW6FCBueWMXAdAdAqBPeSeBJgACNSs7O1vLli1Tbm6u61KAuOWNXd5YhrpHAPQp702TlOS2DgAAjpU3du3d67aOICMA%2BtS%2BfdYSAAEAftO4sbUEQHcIgD7lBUDvTQQAgF94kxfeWIa6RwD0Ke8C2o0aua0DAIBjlZhobVGR2zqCjADoU96bpmFDt3UAAHCsvADoTWag7hEAfaq42FrvTQQAgF94kxfeWIa6RwD0Ke9N06CB2zoAADhWXgA8cMBtHUFGAPSpkhJr69d3WwcAAMfKG7sIgO4QAH3KC4DMAAIA/MYLgAcPuq0jyAiAPlVaam0C/4IAAJ%2BpV89aAqA7xAef8t403psIAAC/8CYvvMkM1D0CoE9FItaGQm7rAADgWHljlzeWoe4RAAGgnJycHIXDYWVlZbkuBYhbBED3CIAAUE52draWLVum3Nxc16UAcYujWO4RAH2K9RMAAL8iALpHAPQpAiAAwK/4IqN7BECf4iv0AAC/8sYuTmXmDv/pfcoLgJxFHQDgN1zNyj0CoE95VwDx3kQAAPgFV7NyjwDoU96FtIuL3dYBAMCx8sYuAqA7BECfIgACAPyqqMjaxES3dQQZAdCnvDeN9yYCAMAvvMkLAqA7BECfatTI2v373dYBAMCx8sYuAqA7BECfSkqydt8%2Bt3UAAHCs9u611hvLUPcIgD7lvWm8NxEAAH7hTV4QAN0hAPoUARAA4Fd79lhLAHSHAOhTTZpYu3u32zoAADhW3tjVtKnbOoKMAOhTycnWEgCBmpWTk6NwOKysrCzXpQBxiwDoHgHQp7wAWFDgtg4g3mRnZ2vZsmXKzc11XQoQtwoLrfXGMtQ9AqBPpaRYSwAEAPhNfr613liGukcA9KnUVGu9NxEAAH7hjV3NmrmtI8gIgD7lvWl27XJbBwAAx8obuwiA7hAAfap5c2t37nRbBwAAx8obuwiA7hAAfeqkk6zdtUs6eNBtLQAAVFdJSfQQsDeWoe4RAH3KmwGUmAUEAPhH%2BaVL5ccy1C0CoE81aBD9IsiOHW5rAQCgurZvtzY11cYyuEEA9LEWLazdts1tHQAAVJcXAL0xDG4QAH2sZUtrCYAAAL/wxixvDIMbBEAfa9XK2q1b3dYB1KZIJKKxY8cqIyNDjRs3Vv/%2B/bV06dKjPm/Tpk36yU9%2BopNPPllJSUnq0aOHFi5cWAcVAzgSb8zyxjC4QQD0sbQ0a7dscVsHUJsmTpyoSZMmafLkycrNzVV6eroGDRqkQu9aUpXYuXOn%2BvbtqwYNGmj27NlatmyZHn30UTXjnBOAc96Y5Y1hcKO%2B6wJw/Lw3T16e2zqA2hKJRPT444/rvvvu01VXXSVJmjZtmtLS0jRjxgwNGzas0udNmDBBmZmZeuaZZ8ru69ChQ12UDOAoNm%2B2Nj3dbR1Bxwygj7Vube0337itA6gta9euVV5engYPHlx2X2Jiovr166f58%2BdX%2Bbx//OMfOuecc3TttdeqVatW6tmzp6ZMmXLE1yoqKlJBQUGFDUDN8wKgN4bBDQKgj2VkWOu9mYB4k/fd9HbaIceK0tLSyn5WmTVr1ujJJ59Uly5d9Oabb%2BrOO%2B/UXXfdpWeffbbK54wfP16pqallW2ZmZs38EQAq8CYtCIBuEQB9rE0ba7/%2B2m0dQE2ZPn26mjZtWrYdOHBAkhQKhSo8LhKJHHZfeaWlperVq5fGjRunnj17atiwYbr99tv15JNPVvmcMWPGKD8/v2zbuHFjzfxRACrYtMlabwyDG6wB9LG2ba3Ny7NL69TnXxM%2Bd8UVV6h3795lt4uKiiTZTGDrctMFW7duPWxWsLzWrVsrHA5XuO/000/XK6%2B8UuVzEhMTlZiYeLylA6iGkpLounVvDIMbRAYfS0uz0FdSYoeBOWIFv0tOTlZycnLZ7UgkovT0dM2dO1c9e/aUJBUXF2vevHmaMGFClb%2Bnb9%2B%2BWrFiRYX7Vq5cqfbt29dO4QCq5ZtvpNJSuwII3wJ2i0PAPpaQEP0EtWGD21qA2hAKhTRy5EiNGzdOM2fO1JIlSzR06FAlJSXpxhtvLHvcgAEDNHny5LLbv/jFL7RgwQKNGzdOX331lWbMmKGnnnpK2dnZLv4MAN/xVla0aWNjGNxhBtDn2rWT1q2zANi3r%2BtqgJo3atQo7du3T8OHD9fOnTvVu3dvzZkzp8JM4erVq7Xdu76UpKysLM2cOVNjxozRQw89pI4dO%2Brxxx/XTTfd5OJPAPCd9eutbdfObR0gAPqed0Rr3TqnZQC1JhQKaezYsRo7dmyVj1lXyRtgyJAhGjJkSO0VBuCYeQGQ1RjuMQHrcx07WksABADEurVrrfXGLrhDAPQ57020Zo3bOgAAOBpvrDrlFLd1gADoe506Wbt6tds6AAA4Gm%2BsIgC6RwD0OS8Arl8vFRe7rQUAgKoUF0fPWNG5s9taQAD0vdatpaQkO68S6wABALFq3Tobq5KSpPR019WAAOhzoZDUpYvtr1zpthYAAKrijVFdutjYBbcIgHHg1FOtJQACAGKVd3Ge005zWwcMATAOdO1q7fLlbusAAKAqX35pLQEwNhAA48Dpp1tLAAROXE5OjsLhsLKyslyXAsQVb4zyxiy4FYpEIhHXReDELFok9ewpNW8u7djB2gqgJhQUFCg1NVX5%2BflKSUlxXQ7ga5GIdPLJ0s6dNmaddZbrisAMYBzo2tUuqr1zp5SX57oaAAAqysuzMSohgUPAsYIAGAcaNYqeD3DpUre1AABwqCVLrO3c2cYsuEcAjBPduln7xRdu6wAA4FCLF1vrjVVwjwAYJ7z1FJ9/7rYOAAAO5Y1N3bu7rQNRBMA4QQAEAMQqb2ziyx%2BxgwAYJ3r0sHbZMqmoyG0tAAB4ioqi69O9sQruEQDjRLt20kknSQcORBfbAgDg2pIlUkmJjVHt2rmuBh4CYJwIhaRevWz/00/d1gIAgGfhQmt79eI8tbGEABhHzjnH2txct3UAAODxxiRvjEJsIADGEe/KVZ984rYOAAA8XgDk6oqxhQAYR84919olS6Q9e9zWAgDAnj3RdeneGIXYQACMI23aSBkZ0sGD0TUXAAC4snChjUkZGVLbtq6rQXkEwDgSCknf%2B57tz5/vthYAALyxyBubEDsIgHGmTx9rCYDA8cnJyVE4HFYWC5aAE/bhh9Z6YxNiRygSiURcF4Ga88knUu/edr6lbdukBCI%2BcFwKCgqUmpqq/Px8paSkuC4H8J3SUqllS%2Bnbb6WPP2YNYKwhHsSZnj2lxo3tDbd8uetqAABBtXy5jUVJSTY2IbYQAONMgwbRtRbz5rmtBQAQXN4Y9L3v2diE2EIAjEP9%2B1v77rsuqwAABNk771jbr5/bOlA5AmAc%2Bv73rX33XYkVngCAulZaGp0B9MYkxBYCYBw691xbc7Ftm7R4setqAABBs2SJjUFJSXz5I1YRAONQw4bShRfa/ltvua0FABA8c%2Bdae%2BGFNiYh9hAA49SgQdbOmeO2DgBA8HgB0BuLEHsIgHFq8GBr582T9u1zWwsAIDj27Yuu/7v4Yre1oGoEwDh1xhl2beD9%2BzkdDACg7sybZ2NPmzZSOOy6GlSFABinQiHpkktsf9Yst7UAAILDG3MuvdTGIsQmAmAcGzLE2lmzOB0MAKD2RSLRAHjZZW5rwZERAOPYwIFSYqK0dq20bJnragAA8W7pUhtzEhNtDELsIgDGsSZNom/A115zWwvgFzk5OQqHw8rKynJdCuA73lgzcKCNQYhdBMA498MfWjtzpts6AL/Izs7WsmXLlJub67oUwHe8APijH7mtA0cXikRYHRbPtmyRWre2dRnr1knt27uuCPCHgoICpaamKj8/XykpKa7LAWLe%2BvVShw72xY%2B8PKlVK9cV4UiYAYxzaWnRq4L87W9uawEAxC9vjLnwQsKfHxAAA%2BDaa619%2BWW3dQAA4pc3xnhjDmIbh4ADIC/PTshZWiqtXi2dcorrioDYxyFgoPrWrJE6dZISEqRNm6T0dNcV4WiYAQyA9HTpoots/4UX3NYCAIg/3thy0UWEP78gAAbEjTdaO306J4UGANScSMTGFkm66Sa3taD6CIABcdVVUqNG0vLl0sKFrqsBAMSLhQttbGnUyMYa%2BAMBMCBSU6Urr7T9qVOdlgIAiCPemHLllRLLZf2DABggN99s7YwZ0v79bmsBAPjf/v02pkjS0KFOS8ExIgAGyMCBUrt20s6d0quvuq4GqJ5IJKKxY8cqIyNDjRs3Vv/%2B/bV06dIjPqekpET333%2B/OnbsqMaNG%2BuUU07RQw89pNLS0jqqGgiGV16xMaVdO2nAANfV4FgQAAOkXj3p//0/23/qKbe1ANU1ceJETZo0SZMnT1Zubq7S09M1aNAgFRYWVvmcCRMm6I9//KMmT56s5cuXa%2BLEiXr44Yf1hz/8oQ4rB%2BLflCnW3nqrjTHwD84DGDAbN9qlekpLpWXLpNNPd10RULVIJKKMjAyNHDlSo0ePliQVFRUpLS1NEyZM0LBhwyp93pAhQ5SWlqa//OUvZfddffXVSkpK0nPPPVet1%2BY8gMCRLVsmnXGGnftv/XqpbVvXFeFYMAMYMJmZ0uWX235OjttagKNZu3at8vLyNHjw4LL7EhMT1a9fP82fP7/K551//vl6%2B%2B23tXLlSknS559/rg8%2B%2BECXXnpplc8pKipSQUFBhQ1A1Z54wtrLLyf8%2BREBMICys6199lmJMQ6xLC8vT5KUlpZW4f60tLSyn1Vm9OjRuuGGG9S1a1c1aNBAPXv21MiRI3XDDTdU%2BZzx48crNTW1bMvMzKyZPwKIQwUF0rRptj9ihNtacHwIgAE0cKAd%2Bi0slJ5%2B2nU1QNT06dPVtGnTsu3AgQOSpFAoVOFxkUjksPvKe%2Bmll/T8889rxowZ%2BvTTTzVt2jQ98sgjmuaNWJUYM2aM8vPzy7aNGzfWzB8FxKGnn5Z277axhC9/%2BFN91wWg7oVC0t13S3feKf3f/9mnt/r8n4AYcMUVV6h3795lt4uKiiTZTGDr1q3L7t%2B6deths4Ll3XPPPbr33nt1/fXXS5K6deum9evXa/z48brZOx/SIRITE5WYmFgTfwYQ10pKbOyQbCw5wmcxxDBmAAPqpz%2BVWrSQ1q2zr/EDsSA5OVmdO3cu28LhsNLT0zV37tyyxxQXF2vevHnq06dPlb9n7969Skio2L3Vq1eP08AANeCVV2zsaNHCxhL4EwEwoJKSous2Jkzg%2BsCITaFQSCNHjtS4ceM0c%2BZMLVmyREOHDlVSUpJu9C5wLWnAgAGaPHly2e3LL79cv/vd7zRr1iytW7dOM2fO1KRJk3SldzkcAMclErExQ7IxJCnJbT04fhz4C7DsbGniROmzz6Q335R%2B8APXFQGHGzVqlPbt26fhw4dr586d6t27t%2BbMmaPk5OSyx6xevVrbt28vu/2HP/xBv/71rzV8%2BHBt3bpVGRkZGjZsmB544AEXfwIQN954w8aMJk348offcR7AgPvv/5YmTZL69JE%2B%2BIC1HICH8wACFUUi0vnnS/PnS7/8pfToo64rwokgAAbc5s1Sx45SUZE0Z440aJDrioDYQAAEKpo7Vxo8WGrUSFqzRir3vSz4EGsAA651a8m7mMIDD7AWEABwuEjExgjJxgzCn/8RAKExY6TGjaUFC6TXX3ddDQAg1vzznzZGNG4s3Xuv62pQEwiAUHq6dNddtj9mjHTwoNt6AACx4%2BBB6X/%2Bx/bvvtvGDPgfARCSpNGjpebNpaVLo5f3AQBg6lQbG5o3l0aNcl0NagoBEJLsjX3//bZ/3312mTgAQLAVFkbHhvvvt7EC8YEAiDLZ2VKnTlJenjR%2BvOtqAACujRtnY0KnTpz3L94QAFEmMTF6XqdHH5VWrXJbDwDAnVWr7DyxkrUNG7qtBzWLAIgKrrjCrghSXGyf9jgtDIImJydH4XBYWVlZrksBnIlEbAwoLrYx4fLLXVeEmsaJoHGYVaukbt3s5NAvvCBdf73rioC6x4mgEWQvvCDdeKMdGVq8WOrSxXVFqGnMAOIwXbpEv/J/113Sjh1u6wEA1J0dO%2Bx0L5KNBYS/%2BEQARKVGj5bCYWnbtmhHAACIf3ffbX1/OMxJn%2BMZARCVSkyUnn5aSkiQpk%2BXXnvNdUUAgNr22mvW5yck2BjAFz/iFwEQVerdW/rVr2z/jjukLVvc1gMAqD1btlhfL0n33GNjAOIXARBH9NBDUvfudjjglluk0lLXFQEAalppqTR0qPX13btLDz7ouiLUNgIgjigxUZoxQ2rUSJo9W3rsMdcVAQBq2mOPSW%2B8YX39jBnW9yO%2BEQBxVGecET0Z6L33SvPnu60HAFBz5s%2BPftnjscesz0f8IwCiWu68U7ruOqmkxFrWAwKA/23ZUrFvHzbMdUWoKwRAVEsoJP35z1LXrtKmTdK119oZ4gEA/lRcbH35pk3Wt//5z9bXIxgIgKi25GRp5kwpJUV6/30uFQcAfhWJSNnZ1penpNjpX5KTXVeFukQAxDHp2tUuEZSQIE2ZIj3yiOuKAADH6pFHbMYvIcH69NNOc10R6hoBEMfs0kulRx%2B1/VGjpBdfdFsPAKD6XnzR%2Bm7JvuB36aVu64EbBEAcl7vvtusES9LPfibNmeO2HgDA0c2ZY322ZP04l/oMLgIgjksoZJ8cr7tOOnBAuvJK6YMPXFcFnLicnByFw2FlZWW5LgWoUR98YH31gQPWd3un90IwhSIRlvHj%2BBUVST/6kZ1ANDlZevNN6Xvfc10VcOIKCgqUmpqq/Px8paSkuC4HOCEffSRdfLFUWCj94AfS3//OdX6DjhlAnJDEROmVV6T%2B/a1jufhi6cMPXVcFAPB8%2BGE0/PXvb3024Q8EQJywpCTp9dejIXDwYGnuXNdVAQDmzrU%2B2Qt/r79ufTZAAESNaNJEmjXLPmXu3StddhnfDgYAl1580frivXutb541y/pqQCIAogYlJdm6Eu%2BLITfcID38MCeLBoC6FIlIEydaH%2Bx94ePvf2fmDxURAFGjEhOlGTOip4gZNUq67Tb7sggAoHYVFVmfO3q03b7rLuuTExPd1oXYQwBEjatXT3r8cdsSEqSnn5a%2B/33pm29cVwYA8eubb6yvffpp63sff1z6v/%2BzPhk4FAEQtSIUshOMzpolpabaKQh69ZL%2B/W/XlQFA/Hn7balnT%2BtrmzWzvpeTPONICICoVT/4gZSbK3XvLm3ZIg0cKN1/v61LAQCcmAMHrE8dNEjautX62txc63uBIyEAotZ16WKfSm%2B7zRYn/%2B53Ut%2B%2B0pdfuq4MAPzryy%2BtL/3d76xvve0262s7d3ZdGfyAAIg6kZQkTZkivfSSHZ7IzZV69LBvqpWUuK4OAPyjpMT6zh49rC9t1sz61ilT%2BKYvqo8AiDp13XXS4sV2TqqiIvumWlaWtGCB68oAIPYtWGB95ujR1odefLH1qddd57oy%2BA0BEHWubVtp9mzpmWekk06SFi2y6wffequUl%2Be6OgCIPXl51kd%2B73vWZ550kvWhs2dbnwocKwIgnAiFpKFDpeXLpZtvtvueftrWC/7v/0q7dzstDwBiwu7d1id26WJ9pGR95pdfWh8aCjktDz5GAIRTrVpJU6dK8%2BfbYY3du6UHHpA6dbJzWO3b57pCBE1OTo7C4bCysrJcl4IA27fP%2BsBOnaxP3L1bOvdc6yunTpVatnRdIfwuFIlwoS7EhtJS6eWX7ZQGq1fbfenp0i9/KQ0bJqWkuK0PwVJQUKDU1FTl5%2Bcrhf/5UEcKCqQ//UmaNCm6JKZTJ%2Bm3v7V1fglM26CGEAARcw4csE%2B4v/udtH693ZeSIt1xh5SdLXXo4LI6BAUBEHVp3TopJ0d66ikLgZLUvr103312qLdBA5fVIR4RABGzioul6dPtdAfeOQMTEqTLLrMZwR/8gEscofYQAFHbDh6U3njDZvxmzbKjIJLUtatdR/2mm6SGDd3WiPhFAETMKy2V/vUv6fe/l%2BbOjd7fpo30059KP/mJdMYZ7upDfCIAorYsXSo9/7z03HPSpk3R%2BwcNssu3XXIJh3pR%2BwiA8JUVK%2BzT8rPPSjt2RO/v1k368Y%2Blq6%2B2T8/AiSIAoiZ9%2BaX0yit2wubFi6P3n3yy9LOf2VGN005zVx%2BChwAIXyoqkl5/3YLg7NkVry182mnS5ZdLl15ql0niEAqOBwEQJ6K4WPrwQzt68c9/2odXT4MGNsv3s59JQ4ZIiYnu6kRwEQDhe99%2BK82cKf3tb9Lbb1cMg02aSP37SxddJH3/%2B3ahdNYNojoIgDgWBw9KX3whvfOO9O9/S%2B%2B%2BK%2B3ZE/15gwbSgAHSNddIV15pJ3IGXCIAIq7k50tz5tjs4BtvSFu3Vvx5SoqdSb9PH6l3b%2Bmcc%2BwQDHAoAiCOZMcO6T//kT7%2B2M7N99FH0W/velq1si%2BrDRkiDR4spaa6qRWoDAEQcau0VPr8c%2Bmtt%2BxT%2BQcfSIWFhz%2BufXupVy/prLNsLeGZZ0qnnCLVr1/3NSN2EAAhSSUl0po10pIltnbv88%2BlTz%2BNnqKqvORk6fzz7WjDwIHWp/BlDsQqAiACwztE431a/%2BQTadWqyh/bsKFdeum006zt1Mm2jh3tupuckyu2vfrqq/rTn/6khQsXaseOHfrss8/Uo0eP6j35yy%2Blxx5TwezZSt24UflDhypl9Gi%2BXRTHDhyQvv5aWrvWTkK/erX1DStWWFtcXPnzunSxq3N4RxVYYgI/IQAi0Hbtkj77zC6u/vnn9il/2bIjX4IuIUFq3VrKzLQw2KaN3W7d2q5c0qqVXaapRQsWd7vy3HPPae3atcrIyNDtt99e/QD43nv27aE9e1QgKVVSvqSUJk1sNf%2BFF9Zy5ahJRUXS9u3Stm22HCQvT9q82bZNmyz0bdxot71z8FWmcWMpHLajA2edJfXoIfXsKTVrVnd/C1DTCIDAIUpL7fDOl19KK1dKX31lMwJr1tjZ%2BouKqv%2B7mja1NYYnnSQ1b24DRrNmthYoJcUOGSUn2%2BOaNrUvrSQlRbfGjaVGjaIbh6WPzbp169SxY8fqBcDSUqlzZ5sGkioGQMnWBaxaxTG9WlRSIu3fH9327ZP27o1ue/bYNXF377blHIWFtu4uP98%2BzO3aJe3caV8M27HDHlddiYl2laFTTrHZ/s6dpVNPtYnf9u35Z0f8IQACx6C0VNqyxWYNNm60WYRNm6KzClu22EzD9u12yLmmJSTYQNWwYbRt0KDiVr9%2BdKtXL9omJFTcT0iw/VAoetvbD4WOvkmV3/ZUtX%2BoI/3sRBUUFGjq1Gd0ww03qmXLlkd8bKd1c3TXPy6OPleHBEBJOVe%2BpZWZA2qr3GNypJ67/M8q249Eotuht6vaSkujrbd/8GD09sGDFuDK73uttx04UHErLrYPVF57pFm441Wvns3Gt2olpaVFZ%2BvbtLEtM9O2tDRCHoKFAAjUgtJSm43YscNmI7791mYmdu602Yr8fJu58GYxvFmNPXuisx379tlW/rQ2qD03a6qm6pay25UFwJs1Vc/qZgfVBU%2BDBjYD3rhxdEa8SZPobLk3e56SYjPqqak2y968uc24n3SSzb43a0awAyrDASWgFiQkRAehE3XwoB0OKyqytvysSXFxxdmU8rMt3nbwYHTzZmi8WZrysznl98vP%2BFQ1W1R%2B/2gzTuUd60fOoz1%2ByZIlmj17dtnt66//sTIz20mSdu3apSeeyNGtt96qtLT0I/6edmsypReP/Frn39RBbdtXq%2BwTdqwzo5U9/kgzspXN5B76s0NnhA%2BdKfZmkb19b4bZ28rPRntb%2BVnrhg0rzmY3amT7jRrxZQqgtjEDCMDXCgsLtWXLlrLbbdq0UePGjSUd4xrASMQWfK1cKamSGcBTT7WFobV5zBoA6ggzgAB8LTk5WcnJySf%2Bi0Ihu7bgxRfbMfryUlPtZ4Q/AHGClREA4s63336rRYsWadmyZZKkFStWaNGiRcrLyzvyE3v3tnMC/fd/20kgJWnECLuvd%2B9arhoA6g6HgAHEnalTp%2BqWW2457P7f/OY3Gjt2bLV%2BB1cCARDPCIAAUAkCIIB4xiFgAACAgCEAAgAABAwBEAAAIGAIgAAAAAFDAAQAAAgYAiAAAEDAEAABAAAChgAIAAAQMARAACgnJydH4XBYWVlZrksBgFrDlUAAoBJcCQRAPGMGEAAAIGAIgAAAAAFDAAQAAAgYAiAAAEDAEAABAAAChgAIAAAQMARAAACAgCEAAgAABAwBEAAAIGAIgAAAAAFDAAQAAAgYAiAAAEDAEAABAAAChgAIAOXk5OQoHA4rKyvLdSkAUGtCkUgk4roIAIg1BQUFSk1NVX5%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%3D'}
Genus 2 curve data - 11664.a.11664.1