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g2c_curves • Show schema
{'Lhash': '25792812462041176', 'abs_disc': 409600, 'analytic_rank': 0, 'analytic_rank_proved': True, 'analytic_sha': 1, 'aut_grp_id': '[8,3]', 'aut_grp_label': '8.3', 'aut_grp_tex': 'D_4', 'bad_lfactors': '[[2,[1]],[5,[1,2,1]]]', 'bad_primes': [2, 5], 'class': '400.a', 'cond': 400, 'disc_sign': -1, 'end_alg': 'M_2(Q)', 'eqn': '[[1,0,4,0,4,0,1],[]]', 'g2_inv': "['58632501248/25','2327987904/25','4674304']", 'geom_aut_grp_id': '[8,3]', 'geom_aut_grp_label': '8.3', 'geom_aut_grp_tex': 'D_4', 'geom_end_alg': 'M_2(Q)', 'globally_solvable': 1, 'has_square_sha': True, 'hasse_weil_proved': True, 'igusa_clebsch_inv': "['248','181','14873','50']", 'igusa_inv': "['992','39072','1945600','100853504','409600']", 'is_gl2_type': False, 'is_simple_base': False, 'is_simple_geom': False, 'label': '400.a.409600.1', 'leading_coeff': {'__RealLiteral__': 0, 'data': '0.221585970625460117422890193054109675226210830212863684', 'prec': 187}, 'locally_solvable': True, 'modell_images': ['2.180.4', '3.17280.4'], 'mw_rank': 0, 'mw_rank_proved': True, 'non_solvable_places': [], 'num_rat_pts': 4, 'num_rat_wpts': 0, 'real_geom_end_alg': 'M_2(R)', 'real_period': {'__RealLiteral__': 0, 'data': '7.9770949425165642272240469499', 'prec': 100}, 'regulator': {'__RealLiteral__': 0, 'data': '1.0', 'prec': 10}, 'root_number': 1, 'st_group': 'E_1', 'st_label': '1.4.E.1.1a', 'st_label_components': [1, 4, 4, 1, 1, 0], 'tamagawa_product': 9, 'torsion_order': 18, 'torsion_subgroup': '[3,6]', 'two_selmer_rank': 1, 'two_torsion_field': ['4.0.400.1', [1, 0, 3, 0, 1], [4, 2], True]} -
g2c_endomorphisms • Show schema
{'factorsQQ_base': [['1.1.1.1', [0, 1], 1]], 'factorsQQ_geom': [['1.1.1.1', [0, 1], 1]], 'factorsRR_base': ['M_2(RR)'], 'factorsRR_geom': ['M_2(RR)'], 'fod_coeffs': [0, 1], 'fod_label': '1.1.1.1', 'is_simple_base': False, 'is_simple_geom': False, 'label': '400.a.409600.1', 'lattice': [[['1.1.1.1', [0, 1], [0]], [['1.1.1.1', [0, 1], 1]], ['M_2(RR)'], [4, 0], 'E_1']], 'ring_base': [4, 0], 'ring_geom': [4, 0], 'spl_facs_coeffs': [[[64], [-352]]], 'spl_facs_condnorms': [20], 'spl_facs_labels': ['20.a3'], 'spl_fod_coeffs': [0, 1], 'spl_fod_gen': [0], 'spl_fod_label': '1.1.1.1', 'st_group_base': 'E_1', 'st_group_geom': 'E_1'} -
g2c_ratpts • Show schema
{'label': '400.a.409600.1', 'mw_gens': [[[[0, 1], [0, 1], [1, 1]], [[-1, 1], [0, 1], [0, 1], [0, 1]]], [[[0, 1], [1, 1], [0, 1]], [[-1, 1], [0, 1], [0, 1], [-1, 1]]]], 'mw_gens_v': True, 'mw_heights': [], 'mw_invs': [3, 6], 'num_rat_pts': 4, 'rat_pts': [[0, -1, 1], [0, 1, 1], [1, -1, 0], [1, 1, 0]], 'rat_pts_v': True} - g2c_galrep • Show schema
- g2c_tamagawa • Show schema
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g2c_plots • Show schema
{'label': '400.a.409600.1', 'plot': 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Szp1Sp07SuHFc9BHumAH0uehoO/yb/cT%2B85%2BlbdtcVwUACBXbttnYsHOnjRUjRxL%2BIgEBEIevDK5Rw9Z16tiRPYMBADYWdOxoY8NZZ9lYUby466qQHwiAkCSVLy99%2BqkdBp471y7xZ3kY%2BFFqaqqSk5OVkpLiuhTAqezlXubOtbFh4kQbKxAZOAcQucyYIbVpIx08KPXuLf3nP0z1w584BxB%2B5nnSfffZPr9xcdLkyVLLlq6rQn5iBhC5tGwpvfmm3X/55ZzL/QEA/jFokI0BkjR6NOEvEhEA8QedOknPP2/3/%2B//7MkPAPCH0aOlBx%2B0%2B88/L11/vdt6UDAIgDiqvn3tJkk9ekiTJrmtBwBQ8D77TLrlFrt///054wAiDwEQxzRokJ0AnJEhXXONrREIAIhMc%2BZI116bc/HHv/7luiIUJAIgjik62rb6ufxyad8%2B6YorpG%2B/dV0VACC/ffut9fh9%2B6R27Wytv2gSQkTjvxfHFRcnvfee1KSJLQLatq2tBwUAiAxr1lhv37nTev2770pFiriuCgWNAIgTKlnS1n%2BqU0favNmWidm0yXVVAIDTtWmT9fTNm63HT5xoPR%2BRjwCIPElKkr74wlaCX7NGat2aLeMAIJxt22a9fM0aqWZN6/FJSa6rQmEhACLPKlWSvvxSqlJFWrHCzg3cudN1VQCAk7Vzp/XwFSusp0%2BZYj0e/kEAxEmpXt0aRfny0pIlUvv2Ulqa66oAAHmVlma9e8kS6%2BVffmm9Hf5CAMRJq13bQmBSkjRvnvTnP0t79riuCgBwInv2WM%2BeN896%2BJQpUq1arquCCwRAnJK6dW1vyEBAmjVL6tBB2rvXdVXwi4EDByolJUXx8fEqX768rrzySq1atSrXx6Snp6t3794qW7asSpYsqY4dO%2Brnn392VDHg3t69ttTLrFnWuydPtl4OfyIA4pTVr28nDSckSNOnEwJReKZPn65evXpp7ty5mjx5sjIyMtS2bVvtPeIPsE%2BfPpowYYLGjx%2BvmTNnas%2BePerQoYMyMzMdVg64sXev9egZM6xnf/GF9XD4V5TneZ7rIhDe5s61NaR275YuvphlBFD4tm3bpvLly2v69Olq2bKlgsGgypUrp9GjR6tTp06SpE2bNqlq1ar69NNPdfnll5/wa6alpSkQCCgYDCohIaGgfwSgwOzZY%2BFv%2BnQpPt7CX5MmrquCa8wA4rQ1aWINJT7eGkz79hYGgcISDAYlSUm/rWGxaNEiHTp0SG3btj38MZUrV1adOnU0e/ZsJzUCLuzebef8Ef7wewRA5IsmTex8koQE6euvbXmB38ZkoEB5nqe%2BffuqRYsWqlOnjiRpy5YtiouLU2JiYq6PrVChgrZs2XLUr5Oenq60tLRcNyCcBYPWi7/%2B2nrz5MmEP%2BQgACLfNG5sywmULm2birduLW3f7roqRLp77rlH33zzjcaNG3fCj/U8T1FRUUd938CBAxUIBA7fqlatmt%2BlAoVm%2B3brwXPmSImJ1psbN3ZdFUIJARD5qmFDaepUqWxZaeFC6dJLpWNMuACnrXfv3vroo480depUnXHGGYcfr1ixog4ePKidv1upfOvWrapQocJRv1b//v0VDAYP3zZs2FCgtQMFZcsW670LF1ov/uor683AkQiAyHcXXCBNm2aryi9fLrVsKa1f77oqRBLP83TPPffo/fff11dffaUaNWrken%2BDBg1UpEgRTZ48%2BfBjmzdv1rfffqtmzZod9WsWLVpUCQkJuW5AuFm/3nru8uXWg6dNs54M/B5XAaPA/Pij1KqVNaQzzmDBUeSfu%2B%2B%2BW2PHjtWHH36oWkf8UQUCARUvXlyS1LNnT33yyScaNWqUkpKS1K9fP23fvl2LFi1STEzMCb8HVwEj3KxcKbVpI/38s3TmmXbYt2ZN11UhVBEAUaB%2B/tka0sqVdijis884FIHTd6zz%2BEaOHKmbb75ZknTgwAE98MADGjt2rPbv369WrVpp8ODBeT63jwCIcLJwodSunZ37V7u2XfBxxFkRwB8QAFHgfv3VloZZuFAqVUqaMMFOTgZCGQEQ4WLKFOmqq2y9v4YN7YV22bKuq0Ko4xxAFLjsk5BbtcrZhzIPF2wCAE5g3Lic/dhbtbJeS/hDXhAAUSji422HkE6dpEOHpC5dpOefl5h/BoCT53nWQ7t0sZ7aqZP12Ph415UhXBAAUWiKFpXGjpXuu8/e7tdP6tNHYmtWAMi7zEzrnf362dv33We9tWhRt3UhvBAAUaiio6UXX5QGDbK3X3pJuvZa26gcAHB8e/dK11xjvVOyXvrvf1tvBU4GfzIodFFR9sp1/Hh7xfrBB9Ill7BgNAAcz%2BbN1is//NB65/jxObOAwMkiAMKZTp1snaoyZewK4UaNpGXLXFcFAKFn2TLbym3hQuuZX35pPRQ4VQRAONW8uTR3ri0QvWGDvf3RR66rAoDQ8dFH1hs3bLBeOXeuvQ2cDgIgnDv7bNuwvFUrO7/lyiulZ57hCmEA/uZ51guvvNJ6Y6tW1ivPPtt1ZYgEBECEhMREW7y0Z09rev37S127Svv2ua4MAArfvn3WA/v3t57Ys6f1yMRE15UhUhAAETKKFJEGD7ZbbKwtcNqihbRunevKAKDwrFtnvW/cOOuF2X2xSBHXlSGSEAARcnr2tK2NypWTliyxrY2%2B/NJ1VQBQ8L780nrekiXWA6dMsZ4I5DcCIELSxRfb1W4NGtjm5m3b2rkwWVmuK0OkS01NVXJyslJSUlyXAh/JypIGDrRet3279b6FC60XAgUhyvM41R6h68AB6e67pZEj7e2OHaVRozgPBgUvLS1NgUBAwWBQCQkJrstBBNu5U7r55pwVEG65xQ75FivmtCxEOGYAEdKKFZOGD5eGDpXi4qxBZr8yBoBwl32k46OPrMcNHWo9j/CHgkYARMiLipLuuEOaPVuqUUNau9bWwHr5ZZaKARCePM%2B2c2ve3HpajRrW4%2B64w3oeUNAIgAgbDRpIixbZmlgHD0r33itddZW0Y4frygAg73bssN51333Wy666Slq82HocUFgIgAgriYnS%2B%2B/bK%2Be4ONsTs149afp015UBwIlNn24968MPrYe99JL03ntS6dKuK4PfEAARdqKipN69bTukc86Rfv5ZuvRS6e9/t1fTABBqDh60HnXppdaz/vQn62G9e3PIF24QABG2LrzQDpv06GHn0wwcKDVrJq1c6boyAMixYoX1poEDrVf16GGns1x4oevK4GcEQIS1UqXsirl33rHDw9lN9aWXWDMQgFtZWdJ//iPVr2%2B9KSlJevdd61mlSrmuDn5HAEREuPZaaflyW0T1wAE7ubpVK7u6DgAK29q11oP69LGe1Lat9M030jXXuK4MMARARIwqVaRJk6TUVKlECWnaNKluXVtQldlAAIUhK8t6Tt261oNKlLCeNGmS9SggVBAAEVGiomznkG%2B%2BkS66SNq7V%2BrVS7rsMmn1atfVAYhkq1fbRR69elnvuegi60V3382FHgg9BEBEpJo17dX3Sy/ZK/Dp06Xzz7f9hA8dcl0dgEhy6JD1lvPPl2bMkEqWtN4zbZr1IiAUsRcwIt66dba6/uTJ9vb559t2S02aOC0LIY69gJEXc%2Bdaf1m%2B3N5u00YaNkyqXt1pWcAJMQOIiFe9uvT559Ibb0hlytghmWbNpLvuYhcRAKdmxw7rIc2aWfgrU8Z6zOefE/4QHgiA8IWoKOmmm2yNwO7dbS2uoUOlWrWkESO4SARA3mRlWc%2BoVct6iOdZT1m50noM5/ohXBAA4Stly0qjRtm5OcnJ0q%2B/SrfeKjVtKs2f77o6AKFs/nzrFbfear0jOdl6yahR1luAcEIAhC9dfLG0dKn03HO2IOv8%2BVLjxtLNN0ubN7uuDkAo2bzZekPjxtYrSpWy3rF0qfUSIBwRAOFbRYpI998vff%2B9HbqR7Byec86RnnxS2rfPbX1wIzU1VcnJyUpJSXFdChzbt896wTnnWG%2BQrFd8/731jiJF3NYHnA6uAgZ%2BM2%2Berdo/d669XaWK9MQT1vBjYtzWhsLHVcD%2BlZlpge%2BRR6SNG%2B2xJk2kf//bZgGBSMAMIPCbxo2l2bOlsWOlM8%2B0xt%2Bjh3TBBdLHH9vJ3gAil%2BfZc/2CC%2Bw8v40brReMHWu9gfCHSEIABI4QFSXdcINd0TdokJSYKH37rdSxo9SihZ3wDSDyTJtmz/GOHe05n5hoPWDlSusJXN2LSEMABI6iWDGpXz/pxx%2BlBx%2BUihe3GYBLL5Vat7b7AMLf7Nn2nL70UrtfvLg953/80XpAsWKuKwQKBgEQOI7ERNvi6YcfbD/PIkWkL7%2BUmjeX2raVZs50XSGAUzFzpj2Hmze353SRIvYc/%2BEHe84nJrquEChYBEAgDypXllJT7eq/226TYmNta7mLLrKZgylTOEcQCHWeZ8/VSy%2B15%2B7kyfZcvu02e26nptpzHfADAiBwEqpXl157zQaL22%2B3WYNp02z/z8aNpffesysIAYSOzEx7bjZqZM/VadPsuXv77dLq1facZvs2%2BA3LwACnYcMGO1H89del/fvtsbPPlvr2te2hSpRwWx9OHcvAhL99%2B2w5lxdesEO7kp3jd9tt0gMPSFWruq0PcIkACOSDrVull1%2B2Q0g7d9pjSUm2Wfzdd9uagggvBMDwtXGjNHiw9Oqr0o4d9lhiotSrl3TvvVK5cm7rA0IBARDIR3v22Ebx//63tHatPRYbK11zjXTPPXbCOctJhAcCYHjxPGnWLOmVV%2Bxwb0aGPV6jhi3w3qOHbeEGwBAAgQKQmSl9%2BKH0n/9IM2bkPH7%2B%2BVLPnlLXrlJ8vLv6cGIEwPCwe7c0Zow0ZIj0zTc5j7dsKd13n/TXv7KTD3A0BECggC1bZoeHx47NOU%2BwVCmpc2c7CT0lhVnBUEQADF2eJy1YYBdvjB9vM%2B%2BSnd/XpYvUu7dUr57bGoFQRwAECsnOnXZC%2BquvSqtW5Txep450yy02K1ihgrv6kBsBMPT88ovN9o0cabt1ZKtVy8637d6d9fuAvCIAAoXM8%2Byw8Guv2blKBw7Y4zExUvv20o032nZUxYu7rdPvCIChYf9%2B6aOPpLfekj77LGeZpWLF7Nza22%2B3w73MogMnhwAIOLRrlx3CGjVKmjcv5/H4eOmqq2wP0latbM0yFC4CoDuHDtnuHOPGSe%2B/n3OIV7L1Nm%2B%2B2U6hKF3aWYlA2CMAAiFi5Uqb5XjrLWn9%2BpzHy5SxMHjttdJllxEGCwsBsHAdOiR99ZX07rsW%2BrKXb5GkM8%2B0mfEbb5Rq13ZXIxBJCIBAiMnKsk3px42zwXDr1pz3lS4t/eUvFgjbtpVKlnRXZ6RKTU1VamqqMjMz9f333xMAC9DevdIXX0gTJkgff2wz4tnKl7cXPTfcIDVrJkWzbxWQrwiAQAjLyJCmT8%2BZFTkyDBYtKrVuLXXoIF1xBbsa5DdmAAvGhg3SxInSJ5/Yvrzp6TnvK19euvpqC36XXMLyLUBBIgACYSIz02YG33/f1hjMXmg6W506dhFJu3a24HTRom7qjBQEwPyRnm4LNE%2BaZBdxHHn1rmQLNf/1rxb8mjUj9AGFhQAIhCHPk/73Pzts9skn0ty5dug4W/HidmVkmzbSpZfammgMrCeHAHhqMjNt7cupU6XJk%2B2K9%2Bz1LyU7lNukic1c/%2BUv0nnncQUv4AIBEIgA27fbuVSff263LVtyvz8xUbr4YguFLVtaIIyNdVNruCAA5k1GhgW%2BGTPsNn16zn7Y2SpWlC6/3G5t29qFTQDcIgACEcbz7DDblCm2lMaMGbZd1pFKlZKaNrVDbs2aSY0asaTG7xEAj27XLmn%2BfDsdYfZsac6c3Mu0SLaMUcuWtoRR69Z2egKzfEBoIQACEe7QIWnRIpuZmTHDzscKBv/4cbVrWxBMSZEaNrRZQj8vRk0AtEO3y5ZJCxfa1mvz59tyRb8XCNh5py1b2kxzgwYsVwSEOgIg4DOZmTZDOHu2hcG5c6Uff/zjx8XESOeeK114oXTBBRYI69WTypYt/Jpd8FsA/PVXC3vLlklLl0pLlkgrVuTsvHGkmjXtPL7mzW0GuU4dzjEFwg0BEIB%2B/dV2Ipk/32Z7Fi7MveTMkSpUsBP369Sxf2vXtlu5cpF1mC8SA6DnSdu22SzeypV2IdG339q/v/xy9M8pX95mhBs2tBnixo398yIAiGQEQAB/4HnSxo02C5Q9G7RsmbRmzbE/JylJqlVLOucc6eyzbZYo%2B9%2BkpDALhytXKu3DDxV46CEFFy5UQoMGrivKM8%2BzXTR%2B/FH64Yecf1evllatyr3Dxu%2BddZbY4GayAAAgAElEQVTN8mbP%2Bl54oVSlSpj93wHIEwIggDzbs8cOCy5fbrNG331nM0nr11vwOJaEBNvOq1o1qXp1u1WtKp1xhgWMSpVCZN3Cffuk7t2ld99VmqSApKCkhGuvld54QypRwnGBtq7e5s0W0H/%2B2RZWXrfObj/9ZP8XaWnH/vyoKPu/qF1bSk62Wdy6de1wf6lShfVTAHCNAAjgtO3blzPDtHp17tmnTZvy9jXKlMkJgxUr2qHmcuXsEGTZsnYrV84%2BLj6%2BgGalbrxRGjNGknIHQEnq2tU2as5nnmdXaW/fbodnf/3Vblu32tu//GLL%2BmSHvu3b8/Z1K1fOPQt7zjk5M7QhkGMBOEYABFCg9u%2B32an1622Gau1a%2B/enn2wGa9Mm6eDBk/uasbG2tmHp0nYFaiBgs4zx8TaLlf1vqVK2X3KJEnZFc/HiUrFiNtsYF2dXqhYpYl%2Bv6Jb1qnbpWYr6bUXt3wdALyZGP01do/QK1ZSRYVdXHzpktaenSwcO2M%2B6f78F4r17bcZ0zx4LeNn/pqXZVdjBoC2psnOnraV3MuLiLOCdcYbNqlarZjtqVKtms3vVq/v7Cm4AJ0YABOBU9jlrmzbZDNfmzTbr9csvNguWPSP26682I3bkrhL56UaN1mjddPjtP8wA/vYxY3RjgXz/4sVthjN7trNsWZv9rFDBbpUq2Qxp5cpheE4lgJDDXgAAnIqKssO6ZcrYuWgnsm%2BfBcadO%2B2WPZu2e3fumbbs2be9e%2B1zsmfn0tPtdvBgzixeRoYUc6CIlH787x1bNFaBYjZjmD17GBdnM4pFi%2BbMMpYoYTOP2bOQR85MxsfnzFomJtotKYnDsgAKFzOAACDZyXVnnGHHcnWUGcBixWyKMinJXY0AkE%2BYATwNnudp9%2B/32AIQltKzsqSbb1bRV1%2BVZAHwyH9111029Xe8S2wBhJX4%2BHhF%2BfR8CmYAT0P2QrEAACD8RNJC7yeLAHgajpwBTElJ0YIFC07p65zK56alpalq1arasGHDKf3xnmq9hf1znurn8fs5sdP5HYXTz5nXz01PT1f0LbeoyMSJkmzmr6qkDfrtEPCVV9pagCFQayh8T55jJ%2BbiOcbv5%2BQ%2B188zgBwCPg1RUVGH/2hjYmJO%2BVXE6XxuQkLCKX3uqX5PFz8nv5%2BC%2B57Sqf2Owu3nzP7crKxjXwQSvW6Nanz2mX4/FCT8dvM%2B%2BkhrF2xX1pk1jnkRSHR0/tVaWJ93up/Lc%2BzECvM5xu%2BnYD83khAA80mvXr2cfG5hf08XPye/n4L7nqeqsH/OzEzpppv66bvv7FqN7dvtCuBdu%2ByWlma3318FvHev3XbuXKyiRY%2B/3uCNmqXRyjrm%2B6OysjSg9Uy9pRrH/Ji4OLua1/Pm609/yrkS%2BMirgBMS7Fa6tN0SE3Ougi5bVurZ856T/v1I9KBQ/Z6nit9PwX1PF/WGIg4Bh6lI3Kg%2BP/H7OTHXvyPPsxCXvfbfxo22FuDmzbbzxZHrAO7cefyt5k5VbGzO7bqstzViX%2BfD7zvaOoA9SozXO9GdlJGhw7f8FhVlofDIdQArVrR1ACtXztktpUoV%2BzhXR69c//2EA35Hx8fvxy1mAMNU0aJFNWDAABUNiQ1UQw%2B/nxMr6N%2BR51mYW7vWbuvX5%2BwIsn697WF7sos6HzlblpR07J1Ajpx1%2B/1OINmHa%2BPifheedl0uVSlhiwYeTYkSGrHxco0onftnzN4JJD396DuBHLkm4dF2AtmxI/esZvbC2Dt2SN9/f/zfR/HitqfymWfm7ABy5pm2K8hZZ1lwLKiAyHPsxPgdHR%2B/H7eYAQRwWnbskFaulFassMCyenXOPsDHylJHSkrKmdmqUsVCS/btyH2Ay5SxmboCNWCA9Pjjko4yA/jII9JjjxXot8/IsCB45H7AW7bk3DZuzJkp3bHjxF%2BvRImc/YDPOUf605%2Bkc8%2BVatdmOUPA7wiAAPJk507p229z3777zoLKsURH5%2BxTW7263c%2BepapWzQJfsWKF9RPk0TPPSM89p7Tt2y0AJiUp4f/%2BT3rwQdeV5XLggIXBn37KmV396Sf7N3u/5axjn9KosmWl5GSpTp3ct8TEwvoJALhEAASQi%2BdZsFi0SFq8WFq2TFqyxALFsVStarNKtWrZTNPZZ9vMU40adqg17KSnK23aNAXatVNw61YllCvnuqKTdvCgBcEff7QZ2dWrpVWrbLZ2w4Zjf161atKFF0r16kn160sNGlhQ9%2BlKGUDEIgACPrdjh7RggTR3rjR/vrRwoR16PJpq1XLPFp13noW%2BkiULt%2BbCEMknqO/da2Hwf//LPaN7rJBfvrzUsKHUqJHUpImUksIhZCDcEQABH/E8mwmaOVOaPdv%2BXbXqjx8XE2Phrn596YIL7Favnl104ReRHACPZdcum/FdutRuixdbSMzM/OPH1qoltWghNWtm/55zDrOEQDghAIapRx99VOPHj9eGDRsUFxenBg0a6KmnnlLjxo1dl%2BbcoUOH9PDDD%2BvTTz/VmjVrFAgE1Lp1az3zzDOqXLmy6/IKlefZxRlTp0rTpklff23Lq/xe1arpatmyqBo3ttmd88%2B3Cwj8zI8B8Gj27ZO%2B%2BcZmiefNk6ZN26%2BNG4v/4eMqVJAuuki65BLp0kvtYhM/BsKBAwfq/fff18qVK1W8eHE1a9ZMzz77rGrVquW6tJAwZMgQDRkyROvWrZMknXfeeXrkkUfUvn17t4X5EAEwTI0dO1bly5fXWWedpf379%2BvFF1/UO%2B%2B8ox9%2B%2BEHlwvB8pfwUDAZ17bXX6vbbb1e9evW0c%2BdO9enTRxkZGVq4cKHr8grczz9LU6ZIkydLX375x8BXtKhUvfovKldutS64YK9eeaWrliyZogsuuMBNwSGKAHh0n332mSZPXqJixS7RwIHTlZx8u378sazS03N/XIUKUqtWUps2UuvW0hlnuKm3sLVr106dO3dWSkqKMjIy9I9//EPLly/Xd999p5KReK7ESfr4448VExOjs88%2BW5L0xhtvaNCgQVqyZInOO%2B88x9X5CwEwQmQPVlOmTFGrVq1clxNyFixYoEaNGmn9%2BvWqVq2a63Ly1cGDNrP32WfSpEl2yO5IxYpJzZvbzEzLlnYeV/aVt%2BvWrVONGjW0ZMkSAuDvEABPLCoqShMmTFC7dldq/nxpxgybaZ41y65SPtJ550nt2knt29tMYVheHHQKtm3bpvLly2v69Olq2bKl63JCUlJSkgYNGqRbb73VdSm%2BwkLQEeDgwYMaNmyYAoGA6tWr57qckBQMBhUVFaXSEXIS27Zt0sSJ0scfS198YYsMZ4uOthP2s2demja1WT%2BgoBQrZi8uWraUHn7YFsWeMydnJnrhQnth8r//Sc8/bwt0t20r/eUv0hVXSJF80CIYDEqykIPcMjMz9c4772jv3r1q2rSp63J8hwAYxj755BN17txZ%2B/btU6VKlTR58mSVLVvWdVkh58CBA3rooYfUpUuXsJ7JWbdOmjDBbrNm5V7jrUIFm1lp186CH2MNXCpa1GacL7lEevJJu9J88mSbof7sMzst4f337RYdbTPUV11lt%2BrVHRefjzzPU9%2B%2BfdWiRQvVqVPHdTkhY/ny5WratKkOHDigUqVKacKECUpOTnZdlu9Euy4AJzZmzBiVKlXq8O3rr7%2BWJF166aVaunSpZs%2BerXbt2un666/X1mOt3xHBjvX7keyCkM6dOysrK0uDBw92WOWpWbtW%2Bte/7MKMGjWkvn3tcG9Wll2Z%2B8gjdnL%2Bpk3SyJFSp05/DH/H%2B/0AhSEpyf42R460v9UFC%2Bxv94IL7G/566/tb7tGDftb/9e/7AVPuLvnnnv0zTffaNy4ca5LCSm1atXS0qVLNXfuXPXs2VPdu3fXd99957os3%2BEcwDCwe/du/XLEmfxVqlRR8eJ/vArvnHPOUY8ePdS/f//CLM%2B5Y/1%2BDh06pOuvv15r1qzRV199pTJlyjisMu%2B2bJHeflsaO9bW5csWHW3nTmXPlOT1VMbj/f1wDuCxcQ7giWWfA3jllVee8tf46aecme3sFzfZGjWSunSx8FixYj4UXIh69%2B6tDz74QDNmzFCNGjVclxPSWrdurZo1a2ro0KGuS/EVDgGHgfj4eMXHx5/w4zzPU/rvL8XzgaP9frLD3%2BrVqzV16tSQD3/79tkAOHq0HSrLHgSjo%2B0w2vXXS1deaYd6T1Ze/35gUlNTlZqaqsyjLX6HfFetmnTffXb75Rfpgw%2Bk//7XLiaZP99uffvaqQ3dutmLn1BeosjzPPXu3VsTJkzQtGnTCH954NexyzUCYBjau3evnnrqKXXs2FGVKlXS9u3bNXjwYP3888%2B67rrrXJfnXEZGhq699lotXrxYn3zyiTIzM7VlyxZJdiJ2XIhcfuh5dqL8iBE24O3enfO%2BJk2kG26w4FcQMx87duzQTz/9pE2bNkmSVv22GnTFihVVMdymWvJZr1691KtXr8MzgMhtz549%2BuGHHw6/vXbtWi1dulRJSUmnfYV9hQrSnXfabcsWe16MG2e71Hz%2Bud3i4%2B150aOHXeAUamsN9urVS2PHjtWHH36o%2BPj4w70nEAgc9ciN3/z9739X%2B/btVbVqVe3evVvjx4/XtGnTNGnSJNel%2BY%2BHsLN//37vqquu8ipXruzFxcV5lSpV8jp27OjNnz/fdWkhYe3atZ6ko96mTp3qujxv2zbPe/55z6td2/MsBtqtRg3PGzDA81avLvgaRo4cedTfz4ABAwr%2Bm4eJYDDoSfKCwaDrUkLK1KlTj/q307179wL7nqtX23OjRo3cz5nate25tG1bgX3rk3as3jNy5EjXpYWEHj16eGeeeaYXFxfnlStXzmvVqpX3xRdfuC7LlzgHECgEnmdbrw0ZIr3zjq3dJ9mhrOuus9mMFi3skC9CA%2BcAhp6sLNu%2BcMQIex7t22ePFy0qXXut1LOnbU0XarOCQCgiAAIFaP9%2Bu5jj5Zdtj9Vs9etLd9xhh3nJFqGJABja0tLs8PCwYbZncbZ69aTeve3iEY64AsdGAAQKwKZNUmqqNHSotH27PVasmAW%2Bnj1tqQuENgJg%2BFiwwGbXx43L2YGkTBk7l7BXL8lnW4ADeUIABPLRN99Izz0njR8vHTpkj1WvboNQjx4s0BxOCIDhZ8cOOzycmpqzjmCRIlLnzlK/ftL55zstDwgpBEDgNHme7YH67LO2y0G2Fi2kv/1N%2ButfpZgYd/Xh1BAAw1dmpvThh9KLL9o5g9nat5cefNC2rOM8QfgdARA4RZ5nge%2Bpp%2BwCD8ku4rjmGumBBzjMG%2B4IgJFhwQJp0CDpvfdy1tds1kz6xz8sEBIE4VdccwicJM%2Bz2YWGDW0j%2B9mz7SrEu%2B6Svv/e1i4j/AGhISXFnpPff2/P0aJF7Tl7xRX2HP7wQ3tOA37DDCCQR54nffKJ9OijOVcdlixpF3X07StVquS0POQzZgAj0%2BbN0gsv2EUje/faY/XrS489ZqGQGUH4BQEQyIMvv7RDRvPm2dulSkn33CPdf79Utqzb2lAwCICR7ddfpeeftyWasoNg48Z2SkerVm5rAwoDARA4joULpf79pSlT7O0SJWyNsX79CH6RjgDoD7/%2Balfuv/xyzsLSrVtLzzwjNWjgtjagIHEOIHAUa9bY0hEpKRb%2B4uIs%2BP34ow0MhD8gMpQta8/pH3%2B053iRIvacb9jQesCaNa4rBAoGARA4wq5dNrtXu7b09tt2PlC3btKqVdJLL0kVK7quEEBBqFjRnuOrVtlzPirKesC551pP2LXLdYVA/iIAApIyMuyk8LPPtvOCDh2S2rSRliyR3nzTFnMGEPlq1LDn/JIl1gMOHrSecM451iMyMlxXCOQPAiB8b/p0uwrw7rtt27bkZOnTT6UvvrB9RQH4T7161gM%2B/dR6wq%2B/Wo9o0MB6BhDuCIDwrY0bbW/eSy6Rli%2BXEhPtRPBly2yBWPhTamqqkpOTlcJijpD1gmXLrDckJtp2j5dcYr1j0ybX1QGnjquA4TsZGdbMH3lE2rPHdu%2B44w7pySdtA3lA4ipg/NH27dLDD0vDhtmuIqVKSY8/bhePxMa6rg44OQRA%2BMq8edKdd9oreklq0sQ2jq9f321dCD0EQBzL4sVSr17S3Ln29gUXSEOHSo0aua0LOBkcAoYv7N4t3Xuv1LSphb/EROm116RZswh/AE5O/frWO4YNs16ydKm9mLz3Xus1QDggACLiffaZdN55dtjX86Qbb7SlHm67zQ7/AsDJio6Wbr/desmNN1pvefll6zWTJrmuDjgxhj9ErJ07pe7dpT//WdqwwZZ3%2BOILafRoqVw519UBiATlyllP%2BeIL6zEbNtiFI927Ww8CQhUBEBFp4kR7Jf7mm7ag69/%2BZlf6tmnjujIAkahNG%2BsxffpYz3nzTetBEye6rgw4OgIgIkpamnTrrVKHDtLmzVKtWnauzgsvSCVLuq4OQCQrWVJ68UXrObVqWQ/q0MF6Ulqa6%2BqA3AiAiBgzZtjirSNG2Cvwvn1tNf%2BmTV1XBsBPmja13tO3r/WiESOsN339tevKgBwEQIS9gwel/v1tcdZ16%2Bw8nGnTbPum4sUdFwfAl4oXtx40bZptJblunXTxxdarDh50XBwgAiDC3OrVUvPm0jPP2FV4t9xiy7y0bOm6MgCwXvTNN9abPM96VfPm1rsAlwiACFtvvildeKG0cKGtxfXuu3aoJT7edWUAkCM%2B3nrTu%2B9ar1q40HrXm2%2B6rgx%2BRgBE2Nmzx5ZY6N5d2rvXDv1%2B8410zTWuKwOAY7vmmpy9hPfuzelje/a4rgx%2BRABEWPn2WyklxV45R0fbPpxTpkhnnOG6MgA4sTPOsJ71%2BOPWw95803rat9%2B6rgx%2BQwBE2HjjDdtrc%2BVKqUoVaepU6Z//lGJiXFcGAHkXE2O9a%2BpUqXJl62mNGlmPAwoLARAh78AB6c47pZtvlvbvl9q2tSUWuNADQDhr2dL2EW7b1nrbzTdbr0tPd10Z/IAAiJC2YYN00UW26XpUlPTYY7a3L1u5AYgE5cpJn34qPfqo9bhhw6znbdjgujJEOgIgQta0aVKDBnbFXFKSBb9HHrHzZgAgUsTESAMGWI9LSpIWLLDeN22a68oQyRhKEXI8T3r5Zal1a2nbNlsuYdEi6fLLXVcGP0hNTVVycrJSUlJclwKfufxy63UXXGC9r3Vr64We57oyRKIoz%2BNPC6Hj4EHp7rul4cPt7a5d7ZBIiRJu64L/pKWlKRAIKBgMKiEhwXU58JF9%2B6Q77pDGjLG3b71VGjxYiotzWxciCzOACBlbt0qtWln4i46WnntOGj2a8AfAX0qUsN733HPWC4cPt964bZvryhBJCIAICd9%2BKzVuLM2cKQUC0sSJ0v3320nRAOA3UVHWAydOtJ44c6YtFcN6gcgvBEA49/nnUrNmtll6zZrS3LlSu3auqwIA99q1s55Ys6b1yObNrWcCp4sACKeGDpWuuELavdvWxJo3T6pd23VVABA6ate23tiypZSWZj1z6FDXVSHcEQDhRFaW9NBD0l13SZmZth/m5MlSmTKuKwOA0FOmjPXI7t2tZ951l/XQrCzXlSFcEQBR6NLTpRtvlJ591t5%2B9FFp5EiucAOA44mLs1756KP29rPPWi9l5xCcCgIgClUwKP35z9K4cVJsrDRqlC2AysUeAHBiUVHWM0eNsh46bpz11GDQdWUINwRAFJrNm6WLL5a%2B%2BkoqVcq2P%2Bre3XVVABB%2Bune3HlqqlPXUiy%2BWtmxxXRXCCQEQheKHH%2BzqtWXLpAoVpOnTpTZtXFcFAOGrTRvrpRUqWG9t1sx6LZAXBEAUuGXLpBYtpLVrbSmDWbOk%2BvVdVwUA4a9%2BfeupNWtaj23RwnoucCIEQBSo2bPt0MQvv0j16tlipjVruq4KACJHzZrWW%2BvVs1578cXWe4HjIQCiwEyebIcogkF7VTptmlSxouuqEO4OHTqkBx98UHXr1lXJkiVVuXJl3XTTTdq0aVOuj9u5c6e6deumQCCgQCCgbt26adeuXY6qBgpWxYrWY1u0sJ7bpo31YOBYCIAoEB99JHXoYJuaX365rVxfurTrqhAJ9u3bp8WLF%2Buf//ynFi9erPfff1/ff/%2B9OnbsmOvjunTpoqVLl2rSpEmaNGmSli5dqm7dujmqGih4pUtbr738cuu9HTpYLwaOJsrzPM91EYgs77wjdekiZWRIV19tyxSwxh8K0oIFC9SoUSOtX79e1apV04oVK5ScnKy5c%2BeqcePGkqS5c%2BeqadOmWrlypWrVqnXCr5mWlqZAIKBgMKiEhISC/hGAfJOebj34/fdtqZixY6XrrnNdFUINM4DIV2PGSJ07W/jr2lV6%2B23CHwpeMBhUVFSUSv82zTxnzhwFAoHD4U%2BSmjRpokAgoNnHODkqPT1daWlpuW5AOCpa1Hpv167Wizt3tt4MHIkAiHzz5ptSt262NdEtt0hvvGGvPoGCdODAAT300EPq0qXL4Zm6LVu2qHz58n/42PLly2vLMRZLGzhw4OHzBQOBgKpWrVqgdQMFKTbWevAtt1hP7tbNejSQjQCIfDFqlHTzzZLnSXfcIb3%2BuhQT47oqRIIxY8aoVKlSh29ff/314fcdOnRInTt3VlZWlgYPHpzr86KOsr2M53lHfVyS%2Bvfvr2AwePi2YcOG/P1BgEIWE2O9%2BI47rDfffLP1akCSmJ/BaXvjDalHD2swPXtKr7wiRfPSAvmkY8eOuQ7lVqlSRZKFv%2Buvv15r167VV199les8vYoVK%2BqXX375w9fatm2bKlSocNTvU7RoURUtWjSfqwfcio6WhgyxMDhkiPXq6GjppptcVwbXCIA4LW%2B9ZYcYPE%2B6%2B24Lf%2Bzri/wUHx%2Bv%2BPj4XI9lh7/Vq1dr6tSpKlOmTK73N23aVMFgUPPnz1ejRo0kSfPmzVMwGFSzZs0KrXYgFERHS6mp1psHD7aZwOho6cYbXVcGl7gKGKfs7bftSrOsLOnOO%2B3VJeEPBS0jI0PXXHONFi9erE8%2B%2BSTXjF5SUpLifrvqqH379tq0aZOGDh0qSbrjjjt05pln6uOPP87T9%2BEqYESarCx7oT50qAXAsWOlTp1cVwVXCIA4JRMm2LICmZnSrbdKw4Zx2BeFY926dapRo8ZR3zd16lRdcsklkqQdO3bo3nvv1Ue/LYTWsWNHvfLKK4evFD4RAiAiUVaWnRM4fLgdFn7nHemqq1xXBRcIgDhpkyZJHTtKhw7ZlWWjRhH%2BEHkIgIhUmZl26s7o0VKRIrZYdLt2rqtCYWPYxkmZMcNeLR46ZDOAI0YQ/gAgnMTEWO%2B%2B7jrr5VddZb0d/sLQjTxbuNC2FjpwQLriCrsAhHX%2BACD8xMZaD7/iCuvpHTpYj4d/EACRJytW2CGC3bulSy6x80bY4QMAwldcnPXySy6x3t6unfV6%2BAMBECf0009S27bS9u1Sw4Z2vkjx4q6rAgCcruLFrac3bGg9vm1b6/mIfARAHNevv1pD%2BPln6dxzpc8%2Bk363JBsAIIzFx1tvr13ben3bttb7EdkIgDimPXvs/JBVq6SqVaXPP5fKlnVdFQAgv5UtK33xhfX6Vaus9%2B/d67oqFCQCII7q0CHp%2Buul%2BfOlpKScxgAAiEzZL/STkqz3Z18ljMhEAMQfeJ4tFPrZZ3Z%2ByMSJdmgAABDZzj3Xen7x4jYG3HGHjQmIPARA/MGAATmLO//3v1KTJq4rAgAUliZNrPdHR9tYMGCA64pQEAiAyOX116UnnrD7r75qa0MBAPylQwcbAyQbE4YPd1sP8h8BEId9/rl01112/%2BGHpdtvd1sP4EJqaqqSk5OVkpLiuhTAqdtvt7FAku6808YIRA72AoYk6ZtvpBYtbDHQbt2kN96QoqJcVwW4w17AgJ3/d9NNtmtIfLw0a5ZUt67rqpAfmAGENm%2B26f7sXT5ef53wBwCwsWD48JzdQq64wsYMhD8CoM/t2yf99a/Shg1SrVrS%2B%2B%2BzxRsAIEdcnI0NtWrZWPHXv9rYgfBGAPSxrCype3dpwQKpTBm79D8x0XVVAIBQk5hoY0SZMjZmdO9uYwjCFwHQxwYMkN59VypSRJowQapZ03VFAIBQVbOmjRVFitjY8eijrivC6SAA%2BtT48dKTT9r9116TLrrIbT0AgNB30UXSsGF2/4knbCxBeCIA%2BtDChdItt9j9Bx6wqXwAAPLi5ptt7JBsLFm40Gk5OEUsA%2BMzW7ZIDRtKGzfa1VwffijFxLiuCgg9LAMDHFtmpl0MMnGiVKWKhcCKFV1XhZPBDKCPpKdLV19t4e/cc6WxYwl/AICTFxNjY8i559qYcs01NsYgfBAAfcLzpHvukebMkUqXtpk/JjUAAKcqIUH64AMbU2bPlnr3dl0RTgYB0CeGDctZ4HncOOmcc1xXBAAId3/6k40pUVF2QeHQoa4rQl4RAH1gzpycV2ZPPy21a%2Be2HgBA5GjXzsYWycaaOXPc1oO84SKQCLdli1S/vm3dc%2B210n//yzZvQF5wEQiQd54nXXed9N57UuXK0qJFXBQS6pgBjGCHDkmdOln4S06WRowg/AEA8l9UlDRypI01mzbZ2HPokOuqcDwEwAjWv780Y4YUH2/7OMbHu64IABCpjhxrZsywMQihiwAYod57T3r%2Bebs/apRt4g0AQEGqVcvGHMnGoPfec1oOjoMAGIFWr87Z6aNfP1v7DwCAwnD11Tb2SDYWrV7tth4cHQEwwuzfbxd77N5tezYOHOi6IiC8pKamKjk5WSkpKa5LAcLWwIE2Bu3ebWPS/v2uK8LvcRVwhLntNmn4cKl8eWnJErsaC8DJ4ypg4PRs2iRdeKG0dauNTa%2B95roiHIkZwAgyerSFv6go26KH8AcAcKVyZRuLoqJsI4LRo11XhCMRACPEypVSz552/5FHpFat3NYDAECrVjYmSTZGrVzpth7k4BBwBNi/X2rcWFq%2BXLrsMumLL2yjbgCnjkPAQP7IzJTatmge8S0AAAm9SURBVJW%2B%2BkqqW1eaN08qXtx1VWAGMAL07Wvhr3x5acwYwh8AIHTExEhvvWVj1PLl0v33u64IEgEw7L33nvTqq3Z/9Gi23gEAhJ5KlXLOARwyxBaMhlsEwDC2fr1dWSVJDz5oU%2BwAAISitm1trJKkW2%2BVfvrJbT1%2BRwAMUxkZ0o03Srt2SY0aSU884boiAACO74knbMzatcvGsMxM1xX5FwEwTD39tDRzpu25OG6cVKSI64oAADi%2BIkVszIqPl77%2BWnrqKdcV%2BRcBMAzNmSM99pjdHzJEOusst/UAAJBXZ51lY5ckPf64jWkofATAMJOWJnXtKmVl2b9du7quCACAk5M9fmVm2r9paa4r8h8CYJi5915p7VrpzDOl1FTX1QAAcGpSU20sW7vWxjYULgJgGHn3XemNN6ToaFtTKRBwXREAAKcmELCxLDraxrZ333Vdkb8QAMPEpk3SnXfa/Yceklq0cFsPAACnq0ULG9MkG%2BM2bXJbj58QAMOA59maSTt2SPXrSwMGuK4IAID8MWCAjW07dthYxwa1hYMAGAZefVWaNEkqVsymy%2BPiXFcEAED%2BiIuzXUKKFrWxLnt3KxQsAmCI%2B%2BEHqV8/uz9woHTuuW7rASJdamqqkpOTlZKS4roUwDeSk6VnnrH7/frZ2IeCFeV5TLaGqsxM6eKLpVmzpEsvlaZMsZNlARS8tLQ0BQIBBYNBJSQkuC4HiHhZWVKrVtK0aVLz5tL06VJMjOuqIhdxIoS98IKFv/h4acQIwh8AIHJFR0sjR9qYN2uW9OKLriuKbESKEPXdd9I//2n3X3xRql7daTkAABS46tVzgt/DD0srVjgtJ6IRAENQRoZ0yy1SerrUvr3Uo4frigAAKBw9etjYl54u3XyzjYnIfwTAEPT889L8%2BbZI5muvSVFRrisCAKBwREXZ2BcI2Fj4/POuK4pMBMAQs2KF9Mgjdv/f/5aqVHFbDwAAha1KFRsDJRsTORSc/wiAISQz06a%2BDx606e/u3V1XBACAG92721h48KCNjZmZriuKLATAEPKf/0hz50oJCdKwYRz6BQD4V1SUNHSojYlz50ovveS6oshCAAwRP/5oVzxJ0nPPSWec4bYeAABcq1pVGjTI7v/jHzZWIn8QAEOA50m33y7t3y9ddpl0222uKwIAIDTcfrtthrB/v91n%2B4r8QQAMAcOHS1OnSsWLc9UvAABHioqSXn/dxsipU23MxOkjADq2eXPOXr9PPimddZbbegAACDVnnSU98YTd79fPxk6cHgKgY717S8Gg1LChdN99rqsBws%2Bdd96pqKgo/Tt7zYjf7Ny5U926dVMgEFAgEFC3bt20a9cuR1UCOF19%2BthYGQza2InTQwB06MMPpffes82uX3%2BdTa%2BBk/XBBx9o3rx5qly58h/e16VLFy1dulSTJk3SpEmTtHTpUnXr1s1BlQDyw5Fj5Xvv2RiKU0cAdGT3bqlXL7vfr59Ur57beoBws3HjRt1zzz0aM2aMihQpkut9K1as0KRJk/T666%2BradOmatq0qV577TV98sknWrVqlaOKAZyuevVyTpvq1cvGUpwaAqAj//iHtHGjndcwYIDraoDwkpWVpW7duumBBx7Qeeed94f3z5kzR4FAQI0bNz78WJMmTRQIBDR79uzCLBVAPhswwMbOjRtzlk/DySMAOrBggfTKK3Z/6FC7sglA3j377LOKjY3Vvffee9T3b9myReXLl//D4%2BXLl9eWLVuO%2Bjnp6elKS0vLdQMQeooXl1591e6/8oqNqTh5BMBClpEh3XmnrWPUtavUurXrioDQNmbMGJUqVerwbfr06frPf/6jUaNGKeo4ayYd7X2e5x3zcwYOHHj4gpFAIKCqVavm288AIH%2B1aWNjaFaWjakZGa4rCj8EwEL2yivSkiVSYqL0wguuqwFCX8eOHbV06dLDt9mzZ2vr1q2qVq2aYmNjFRsbq/Xr1%2Bv%2B%2B%2B9X9erVJUkVK1bUL7/88oevtW3bNlWoUOGo36d///4KBoOHbxs2bCjIHwvAaXrhBal0aRtTs4%2BqIe%2BiPI81tQvLxo1S7drSnj126PeOO1xXBISf7du3a/PvFgG7/PLL1a1bN91yyy2qVauWVqxYoeTkZM2bN0%2BNGjWSJM2bN09NmjTRypUrVatWrRN%2Bn7S0NAUCAQWDQSUkJBTIzwLg9AwbZjOA8fHSihVSlSquKwofBMBCdN110rvvSk2aSLNmSdHMvwL5onr16urTp4/69Olz%2BLH27dtr06ZNGjp0qCTpjjvu0JlnnqmPP/44T1%2BTAAiEvqwsqXlzae5c6dprpXfecV1R%2BCCCFJLPP7fwFxNjJ68S/oCCNWbMGNWtW1dt27ZV27Ztdf7552v06NGuywKQj6KjbUyNibEx9vPPXVcUPpgBLAQHDkh160o//GArmb/4ouuKAJwIM4BA%2BPjb36R//1s6%2B2xp%2BXKpWDHXFYU%2B5qEKwaBBFv4qVZIef9x1NQAARJbHHrMx9ocfbMzFiREAC9i6ddLTT9v9F16wE1UBAED%2BSUjIWVnj6adt7MXxxbouINJVqSI98YT09ddSp06uqwEAIDJ16iSNGydddBFXA%2BcF5wAWEs%2BTjrNmLYAQwzmAQPhhrM07DgEXEv4gAQAoWIy1eUcABAAA8BkCIAAAgM8QAAEAAHyGAAgAAOAzBEAAAACfIQACAAD4DAEQAI6Qmpr6/%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%3D'}
Genus 2 curve data - 400.a.409600.1