Embedded newform data - 150.3.k.a.67.2

Formats: - HTML - YAML - JSON - 2025-01-15T09:24:39.394325

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1350, 'analytic_conductor': 4.087203965404454, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 25, 'char_degree': 8, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 20, 'char_parity': -1, 'char_values': [150, 20, [101, 127], [20, 19]], 'cm_discs': [], 'conrey_index': 13, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [12821429097291977761, -45809399400441629132, 81835693100405150792, -4961459032142572564, 12447955605293321678, -41852960322497705512, 71043557766745632696, -3674078155579683000, 2215541712759687909, -4615821805971911968, 3108429779364139912, -704144985634328076, 102565118295437700, -27365458011627264, 15237353540809448, -3820444601576048, 520885885975198, -35543587433072, 11708421404408, -3207442469676, 466723416510, -16158882444, 3196275472, -1025374732, 166638564, -1854300, 364296, -142288, 25448, 284, 32, -8, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 687245099158, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 25, 6, -1, 20, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '150.3.k.a', 'level': 150, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '150.3.k.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '2.2.3.c20', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '150.3.k', 'trace_display': [8, 0, 0, 8], 'traces': [32, 8, 0, 0, 0, 0, 8, -16, 0, 20, 32, 0, -16, -60, 0, 32, 148, -96, 180, 40, -36, 48, 48, 0, -160, -8, 0, -56, -200, -120, 120, 128, -156, -100, -180, -48, 444, 32, -120, 0, -304, -24, 216, 40, 60, -16, 32, 0, 0, 40, 24, -32, -340, 0, 80, 72, -24, -192, -560, 0, 312, 40, 24, 0, -520, -108, 688, -16, 180, 80, 212, 48, -376, 0, 120, -64, -176, -48, 440, 80, 72, -256, -96, 0, -240, 408, 264, 184, -560, 0, -516, 216, 48, 80, 520, 0, -716, -108, 0, -160, -200, -24, 516, 200, -60, 180, 820, 0, -60, 900, 360, 208, 444, -360, -480, -16, -192, 400, 500, 120, 52, 608, 276, 0, 300, -48, -468, 64, 480, 560, -308, 48, -992, -840, 0, -328, -592, -372, 280, -160, -432, -712, -444, 0, -1340, -88, 552, -888, 0, 360, 80, 64, 444, -440, 1320, 96, -356, 1056, 900, 0, 432, -72, 416, 120, 360, -68, -328, 48, -160, 480, -144, -608, 872, 0, -840, 32, -300, 76, -160, -120, 496, -944, -816, -240, -720, 504, -156, -344, 0, -420, 708, 0, -788, -1400, -780, -624, -1544, 84, 0, -40, -216, -240, 812, 480, -100, -332, -24, 144, -100, -480, -1088, -120, -876, 1240, 80, 0, 792, -320, 240, -80, 84, 600, -652, 0, 360, -48, 920, 48, -360, -240, 216, -64, 2164, 0, 1600, -80, -132, 500, -540, 0, 1624, -1152, 0, 520, 1900, 348, 532, -80, 0, 940, -592, 48, 816, 620, -360, -128, 964, 120, 2360, -120, 24, 1228, 628, -120, 1280, -96, -1932, 464, -560, 0, -944, -32, 180, 0, -1400, 144, 124, -248, 180, -560, -1260, 72, 864, -880, -1440, 48, -2232, -96, 2140, -1480, -480, 248, -400, 1440, -1080, -744, 468, 668, 0, 0, 8, 280, 528, 720, -20, -468, -508, 432, 1800, 1660, -1408, 384, 1344, 140, 180, 888, 1040, 456, -960, 0, 216, -1332, 2568, 0, -440, 448, -240, 152, 2040, -600, 804, -32, -588, 1600, -1900, -96, -712, -3252, -2580, 1000, 744, -396, -324, -1600, -840, 1596, -876, -528, 0, -920, -144, 368, -3784, -1320, -980, 1048, -2148, -732, -2840, -360, 668, -256, -912, 1920, 1380, -168, 224, -32, 300, 400, 1096, 456, -3744, 0, 1620, -1232, -232, -72, -7000, -80, -1932, -568, -1152, 0, 2460, -1464, 72, 512, 2800, -180, 212, 1464, 564, -1500, 800, -168, 1640, 3056, 0, 80, 4376, 216, -496, 2080, 0, -1004, 1184, 48, 1440, 460, -996, -968, -240, -360, 2780, -128, -1584, 1400, 380, 360, 472, 1228, 456, 0, 2780, 1872, 1184, -1280, 840, -2600, -2648, 0, -304, 620, -1440, -400, -2340, 192, -1640, -200, -504, -484, 2644, 1200, -1180, 724, 2664, -416, 0, 1380, -5816, 888, 2628, -3920, -120, -96, 948, -220, -540, 960, 152, 2004, 1596, -880, 720, 872, 2256, 24, -1500, -960, 120, -520, 2216, 0, -1400, 2000, -600, -1092, -340, 0, 4836, -304, -816, -280, -3260, 0, 644, 544, -2520, 740, -1204, -1128, -668, 860, -60, -480, -1796, -1188, 0, -2840, 6288, 512, -3480, 120, -820, -872, -672, 256, -3840, -2640, -1196, 128, 648, 420, 840, -600, 1384, -848, 3300, 80, 960, 576, -2712, 0, 4620, -4216, 692, -96, -2000, 1960, -720, 496, 540, -1620, 6140, -128, 2784, 1488, -1000, 360, 1552, 3264, 696, 560, 6260, 600, 2524, 1184, 0, -2840, -56, -744, -3836, 3180, -60, 1416, 2520, -180, 2600, -1680, -624, -2320, -3708, -720, -1780, -768, -252, -816, -380, -1380, -1828, 392, -348, 0, -1620, -768, 1084, 1652, 2520, -880, 2924, 1440, 2096, 1200, 120, 800, 6620, 336, 500, -100, 2172, 704, -3332, 540, -2040, 504, 3408, -2728, 0, 960, -3160, -768, 2064, -840, -580, 204, 608, 912, -2280, -740, 812, -192, 1144, 940, 3240, 1616, -3448, 360, -4300, -1160, 324, -4252, 2504, 0, -6020, 2592, -840, -688, 4320, 420, 3804, -688, -1896, 3580, -1380, -792, -3520, -1280, -1320, -160, -4468, -2196, -1384, -1920, -3120, -1336, -2124, 144, 0, -420, 864, 832, -3548, -600, -5900, -704, -192, 2228, -3180, -3000, 2996, -284, -3180, -1400, -7920, -1164, 4540, -1504, -900, -40, -5956, -384, -4624, 0, 0, -2656, -5664, 492, -3560, 1640, -3204, 4496, 352, 0, 5140, 508, 3240, 1536, 6240, 0, 3656, 1504, 192, -780, -1060, -264, -5112, 5260, 0, 1080, -824, 144, 5696, 160, 4380, 1808, 1932, -1800, 8680, 2800, -1332, 1512, -264, -1560, -900, -1456, -2856, -848, 5380, 0, 928, 2912, 2520, 0, 620, 1344, 7664, 888, 0, 2180, -2572, 1488, 4552, 840, -3240, -96, -1476, 732, 1440, 3760, -3528, 1704, -2604, 0, 2220, 2488, 288, 312, 0, 3060, -6568, -688, 4032, -2200, 5540, -216, -4096, -6328, -4560, 160, 1220, 1152, 1320, -2720, 540, -1576, -3280, 0, -5220, -2640, 900, -3296, -6356, 0, -1300, 1056, -4152, -912, 2960, 1080, 1864, -1392, -468, -240, -5280, -408, -4312, -1912, -4440, -3580, -1976, 48, 7116, 1740, -3720, -392, 412, -1368, 0, 560, 1968, 684, 4056, -1680, 3620, -848, 624, 1200, -4080, -360, 7248, -2936, -2484, 2380, -6160, -816, 196, -2688, -1200, 80, 1860, -1104, 2348, 0, 2160, 1760, 4264, 648, 3340, 1900, -4560, -32, 844, -4800, 14340, 3840, 216, 7760, 6660, 1080, 4528, 2048, 888, 2480, 1500, 48, -240, 240, 0, 1060, 12712, -1752, -2200, 6180, 1500, 1560, -4676, 996, 5080, -600, -540, -1572, 3460, 0, -11200, 1308, -3048, 1456, 4740, -360, 284, 1600, 72, 0, 4320, 3456, -576, 6976, 4860, -80, -2812, 864, 2956, 360, -1200, 2132, 612, 1440, -1640, 4020, -288, -2944, -2980, 3720, 9920, -288, 1224, -6192, 0, 480, -15544, -6344, 4272, 160, 1080, -2736, -7724, -3440, -900, -800, -6796, 576, 2416, -5480, 1620, -840, -896, -72, -4860, 1080, -372, -32, 2876, 0, -3580, -9632, -2028, -832, 1980, 60, 2524, -3072, -4476, 7220, -5240, 192, 3608, -4280, -5280, -680, -2060, -3240, 6556, -80, -1080, -3612, -2692, 264, 0, -3480, 7896, 1000, 1156, 1500, -6140, -976, -4080, -688, -13060, -480, 4676, -8136, -4260, 920, -1660, 2652, -472, -16, 1320, 7920, 5856, 0, -3412, 0, 480, -288, -5680, -1800, -3760, -640, -120, 1904, -4064, -360, 3840, -2724, 1776, 1456, -2520, 180, -4484, 720, 120, -1380, 3760, -264, -7092, 672, 0, 680], 'weight': 3, 'weight_parity': -1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.3210197609601031, -0.6300367553350505], [-0.09031748050151239, 0.5702421293180575], [-0.29389262614623657, -0.4045084971874737], [-0.4878811798161798, 0.8729100494215727], [0.330279804909785, 0.2399623244082726], [0.6384835047626972, 0.6384835047626972], [-0.34920056166685515, 0.05530793552061857], [-0.3170188387650512, -0.10300566479164915], [0.39334591551540316, 0.5876044509254073], [0.3740066204210091, 1.1510740184642936], [0.2572114282949335, -0.13105576861708004], [0.240563340218188, 0.47213213875162546], [0.6072338977515309, -0.19730225359975112], [-0.45370588634018577, -0.3570494392007916], [-0.07725424859373686, 0.23776412907378838], [0.07439251720620113, 0.46969586819114156], [-0.16666666666666666, 0.16666666666666666], [0.34845707521772085, -0.4796100183899348], [0.4964842134548651, -0.05918974396045263], [-0.42175641478227877, 0.30642397179839437], [0.8452824556287698, 0.1338795886509124], [0.017800963869916996, 0.009070044117253545], [0.0, -0.2041241452319315], [-0.5239439087623449, -0.8517527695703934], [0.3746861867610786, 0.0], [0.08737051241138669, -0.17147428552995567], [0.07062640902478763, -0.4459175969563121], [-0.08813681073122663, -0.12130991281845005], [-0.37060282534738426, 0.1712314588830069], [-0.7341131045366084, -0.5333643908118912], [0.125, 0.125], [-0.6901702349390828, 0.10931222638948036], [0.3198071288801814, 0.10391163516886648], [-0.8688427532940591, 0.2458345821004708], [0.05150283239582457, 0.1585094193825256], [1.4720104925204471, -0.7500268078619963], [-0.190310332821329, -0.373505058501322], [-0.29095671091075037, 0.09453756612604655], [0.12208952928978961, -0.33180438037765203], [-0.4701552034698782, 1.4469889296365257], [0.0576662214919422, 0.3640901932903366], [0.5499442260044832, -0.5499442260044832], [0.3557014334889287, -0.4895810221398411], [0.24458220502462885, -0.2264744049476707], [0.01142892233276037, -0.008303598124020645], [-0.20021886009007117, -0.031711552097782564], [-0.12860571414746674, -0.06552788430854002], [0.0, -0.18467762829188564], [-0.7048318996351636, 0.056674449769598095], [-0.27455931673143974, 0.0], [0.120281670109094, -0.23606606937581273], [0.1229558468022305, -0.7763126639857354], [-0.07998744146942419, -0.11009326830326166], [-1.1872548695756187, -0.23511321266841223], [-0.25827200299054986, -0.18764559396576222], [0.24202207303235862, 0.24202207303235862], [-0.10472336177483833, 0.01658655104361171], [-1.3046002554791978, -0.42389031871567295], [-0.011088717638219354, 0.28846208359934095], [0.4782268166176837, 1.471830800539974], [-0.5717039835344009, 0.2912977291881212], [-0.13664388138392658, -0.268178717117094], [0.11888206453689419, -0.03862712429686843], [-0.5294952148173648, -0.02035422768440224], [-0.15268756340904385, 0.4699240002354169], [-0.20377837077946023, -1.2866059971668296], [0.16813255752980488, -0.16813255752980488], [-0.006779859477660737, 0.009331676008387373], [-0.12403087051864796, 0.6263206279633807], [0.37960976320196826, -0.2758026370122744], [0.11640018722228504, 0.01843597850687286], [1.4282333413146722, 0.7277212352162883], [0.0, -1.1681941411002592], [0.5330266067359032, -0.22184672601808245], [-0.2964152927099418, 0.0], [-0.49614471573950614, 0.9737388313612214], [-0.03384071236697975, 0.21366184896470086], [0.19665790138091266, 0.2706763799784912], [-0.16985580371075304, -0.18343665376847162], [0.08989077715277194, 0.06530947247694145], [0.7607270992018854, 0.7607270992018854], [1.8415786928036977, -0.2916774105733048], [0.2479022006687707, 0.08054830773676595], [-0.4462969525798947, -0.1642177984568188], [-0.1699421117937622, -0.5230280397404584], [0.07713631767766393, -0.039302916937056766], [-0.1942668495108211, -0.38127015972132566], [-0.5940111689710883, 0.19300592858103963], [-0.06417147826756549, -0.2267985382062921], [-0.1478528580813161, 0.45504430724117567], [-0.0015626621043698622, -0.009866260228390508], [0.3704500919238913, -0.3704500919238913], [-0.08425365399614432, 0.11596520609392687], [0.24865075588332242, 0.5381643843733385], [-0.08256995122744624, 0.05999058110206815], [0.7467626400849012, 0.11827558280512022], [-0.11635369371199214, -0.05928516808893989], [0.0, -0.40343694923911544], [-0.19055798149469869, 0.46226362142036015], [1.8834665511645854, 0.0], [-0.08813896622649602, 0.17298246106048473], [0.2501096287307428, -1.57913004723354], [-0.11011750740793265, -0.151563746323629], [-0.06171354712747078, -0.5176539017564248], [-0.44963425539398294, -0.32667840859175246], [0.29955275675241455, 0.29955275675241455], [-0.09504035488634292, 0.015052913416918732], [-0.031988678920085244, -0.010393751837606071], [-0.5292622400758896, 0.6725382184537858], [0.29474860500461325, 0.9071429292280697], [-0.2011340378378205, 0.10248291103794495], [0.5994165305560322, 1.1764211800427178], [0.23017666964468622, -0.07478893358085348], [-0.016602087913367928, 0.011113536426530414], [-0.023168131762180685, 0.07130417771157058], 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-0.31164908126299795], 'char_orbit_index': 11, 'conrey_index': 67, 'dual_conrey_index': 103, 'dual_embedding_index': 2, 'dual_embedding_m': 22, 'embedding_index': 2, 'embedding_m': 10, 'hecke_orbit': 1, 'hecke_orbit_code': 687245099158, 'label': '150.3.k.a.67.2', 'level': 150, 'weight': 3}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1350, 'analytic_conductor': 4.087203965404454, 'char_conductor': 25, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 20, 'char_parity': -1, 'char_values': [150, 20, [101, 127], [20, 19]], 'conrey_index': 13, 'cusp_dim': 448, 'dim': 80, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 687245099158, 'hecke_orbit_dims': [32, 48], 'label': '150.3.k', 'level': 150, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 512, 'mf_new_dim': 80, 'num_forms': 2, 'prim_orbit_index': 6, 'relative_dim': 10, 'sturm_bound': 90, 'trace_bound': 1, 'trace_display': [-4, 0, 0, 16], 'traces': [80, -4, 0, 0, 0, 0, 16, 8, 0, -4, 0, 0, -12, 0, 24, 80, 236, 48, 200, 32, 0, 96, 96, 0, -92, 40, 0, -112, -400, -192, 0, -64, -312, -100, -328, -120, 228, 64, 0, -8, -160, -48, 432, 0, 12, 0, 64, 0, 0, -92, 0, -24, -460, 0, -672, 0, -48, -64, -800, 48, 240, 80, 48, 0, 44, 0, 576, 88, 0, 352, 0, -24, 268, 0, -48, 0, 128, -96, -400, 0, 180, -672, 448, 0, -688, 0, 528, -32, 100, 12, 0, 32, 336, 0, 256, 0, -92, 124, 0, 0, 40, -48, 32, 200, -312, 540, 1320, 0, 1400, 1504, 0, 416, 1008, 0, 712, 240, -144, 800, 400, 0, 140, 356, -48, 0, -120, 0, 144, -32, 0, -396, -840, 96, -944, -1200, -72, -360, -1644, -144, -1000, -800, 0, -2224, -1848, 0, -2136, -660, 384, -456, 0, 480, 80, 128, 708, 400, 2656, 0, 908, 2512, 1800, 16, -1040, 36, -768, 1200, 1296, -320, 1144, 96, -800, 712, 0, -16, 104, 0, -160, 0, -600, -128, -1000, -240, -360, -1888, -1632, 0, -972, 480, -1712, -1488, 0, -256, 1360, 0, -1956, -3200, -2424, 280, -2768, -432, 0, 184, 0, -140, 64, 0, 412, 0, -48, 208, -800, -240, 0, -200, 48, 400, -432, 0, -816, -520, 0, 112, 1280, 0, 136, 0, 240, 40, 2240, 96, 2100, 576, 1080, -288, 2548, 0, 416, 0, 816, -720, 1200, -96, 240, 36, 0, 1000, 4316, 0, 3064, -160, 0, 2336, -2160, 96, 3072, 3200, -192, -320, 2268, 240, 4200, 2040, -360, 2416, 1336, 0, 196, -320, -2304, 928, -1600, 0, -1320, 176, -2640, 0, -2992, 0, -1012, -1216, -600, -384, -960, 144, -1272, -1600, 336, 480, -4224, 48, -3400, -1964, 0, -1464, -1180, 2400, -480, -560, 936, -264, 0, 96, 2160, 640, 2136, 800, 1128, -360, -1016, 304, 3600, -304, 0, 768, 388, 1700, 240, 0, 5460, 1152, 3800, 32, -240, -304, 5416, 0, 3980, 0, -480, 24, 2200, -1392, -160, -384, -756, -1200, -128, 0, 2076, -2544, -2400, -200, 0, -192, -648, -2400, -3216, 2120, -6792, -1056, 0, -4816, 0, -64, -7868, -3600, -352, 640, -4296, -464, -6600, -384, 1940, -772, -384, 1200, -1196, 0, -1472, -64, 300, 696, 880, 192, -3188, 0, 504, 0, -4804, -144, -6000, -384, 0, 224, -3664, 0, -4328, -760, 144, -1056, 5000, 240, -4680, 2808, 168, 1100, 5848, 0, 3980, 5152, 0, 608, 40, 432, 3408, 800, 0, -1920, 5008, 96, -1600, 3100, 0, 464, 3400, 0, 4104, -160, -768, 1280, 1600, -96, -560, 656, -288, 0, -1520, 0, -712, -320, -1200, -2160, 0, 0, -2128, 0, 2784, 240, -2080, 2784, -5800, -2144, -420, -588, 4728, 2400, -2072, -1120, 4008, -832, 0, 1644, -1840, 2016, 4656, -2800, -1280, 0, -6184, -740, 0, -592, 4100, 2688, 1832, -400, 1224, 840, 4792, 168, 5000, 448, -240, 160, 672, 0, 1064, 160, -60, -1184, 400, -192, 1740, -768, -1752, 1200, -1892, 0, 6488, -192, -2400, 1652, 960, -2256, 6884, -4000, -888, 0, -9672, -4176, 0, -3688, 2160, 864, -8120, 0, 2616, 1280, -1344, -2848, -6300, -3840, -4000, -64, 1296, -1200, -2872, 0, -3552, -2656, 2400, 432, -660, 192, 1136, 0, 3696, 160, 4944, -192, 4400, 1792, 0, 2272, 10400, 0, 64, 0, 1248, 2296, 8200, 144, -540, 8208, 1392, 0, 10140, 0, 8248, 3288, 0, 2464, 0, -288, 2888, 5600, -2736, -1440, 4380, 240, -6200, -448, 960, -1200, -1016, 0, -3036, 0, -504, -1632, -5000, -96, -480, 1264, -3696, 0, -8968, -1920, -7012, 2864, -1200, 64, 6280, 2880, -2048, 3200, 2580, 1140, 440, 2112, -3000, 1520, 5640, 848, -5084, 0, -9080, 2600, 3216, -3616, 0, 2112, 6480, -576, 1728, -3600, -304, 2160, -64, 1024, 4800, -5536, 1600, -144, -2732, -1600, 3120, 480, 444, 720, -4000, -2880, 0, -4704, 3008, 0, 3508, -800, -120, 984, 2600, 96, 0, -1376, -192, -1600, 2256, -720, 300, -3840, -2400, -128, -4880, -2832, -2768, -1600, -3600, -2640, -5728, -72, 0, -8872, -8640, -1536, -11876, -4800, -5312, -960, -1044, -64, -2000, -1536, -3240, -6528, -3120, -3200, -14784, -1260, -5200, -3008, -7200, -3648, -7880, -768, -6708, 0, -144, 1120, -748, -336, 3800, 3576, -720, 8992, 4024, 0, 932, 0, 480, 3072, 10600, -48, 1680, 3128, 624, 8000, 1136, 0, 4176, 7620, 0, 2528, -2640, 288, 11592, 0, 432, -1800, 3544, 0, 9200, 4784, 0, 2264, 2872, 0, 8864, 0, 288, 784, -1800, -48, 4000, 4764, 1680, 0, 1976, -1920, 11128, -224, 0, 3744, 3120, 2976, 1004, 7600, 6168, 0, -1832, 2784, -3400, 6296, -2640, -3312, -2728, 0, -4476, 2200, -1344, 3424, 0, 3888, 4000, -2976, 4464, -1900, 1496, 0, -5132, -6656, 4800, -4576, -1800, 2304, -15360, -1200, 1500, -320, -8600, 0, -6200, -8864, 0, -3352, -8212, 0, 2000, 1040, 96, 396, -6400, -432, -7280, -4064, -936, 800, -2452, 480, -944, -4264, -4200, -528, 1360, 96, -1588, -4000, -2832, -1120, -5356, -6336, 0, 368, -960, 8, -4408, -4800, 10328, 0, -1392, 1520, 2100, -684, 2960, -8992, -768, 0, -6472, 0, -1368, -6776, -3000, 736, 3560, -5808, 17936, 0, -4104, 9760, 16248, 96, 11000, 5664, -720, -224, 16628, 0, 10976, 4560, -288, 7760, 20600, 288, 9340, 10336, 2736, 3600, 14084, 0, 6480, 400, 0, 6704, 7680, 96, -480, 8000, -384, 1280, 2568, 672, -2200, 2864, 0, -2944, 2440, 0, -2800, 760, 624, 2912, 7600, 4416, 5720, 3640, -636, 0, 1992, 0, -11532, 10592, 2400, -352, 680, 3408, 992, 2400, 7200, -5920, -4776, 2880, -11200, 8832, 0, -5808, -7880, 3600, 6144, 0, 168, -7364, 0, 408, -7560, -4128, -1296, 2400, -8528, 0, -8808, -4080, 1200, -10848, -12000, 1152, -3408, -9600, 2136, -5200, -4112, -144, 600, 864, 0, -1864, -6528, 0, 6524, -8320, -456, 256, -4800, -2160, -13160, -5304, -1752, 3200, -4808, 240, 17776, -6080, -4800, 4544, 5820, -4320, 8552, -2400, 1224, -1120, -4344, -1632, 0, -8544, 0, -1440, -9268, -300, -11336, 0, -6480, -1296, -16400, -192, 1660, -13932, -6480, -1000, -9040, 3360, -10024, -1312, -9000, 9516, 3520, 0, 856, 0, -8448, -960, -300, -6720, 3600, -1968, 540, 3168, -4888, -2400, -6900, -2560, -1728, 6112, 5000, -624, -4960, 2240, 240, 6400, 4288, 0, 1516, 8304, 0, 2312], 'weight': 3, 'weight_parity': -1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 8516215
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 67, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 687245099158, 'source_is_minimal': True, 'source_label': '150.3.k.a.67.2', 'source_level': 150, 'target_conrey_index': 67, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 687245099158, 'target_is_minimal': True, 'target_label': '150.3.k.a.67.2', 'target_level': 150, 'twist_class_label': '150.3.k.a.67.2', 'twist_class_level': 150, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 8516216
    {'conductor': 25, 'degree': 8, 'order': 20, 'parity': -1, 'source_conrey_index': 67, 'source_dim': 32, 'source_embedding_index': 2, 'source_hecke_orbit_code': 687245099158, 'source_is_minimal': True, 'source_label': '150.3.k.a.67.2', 'source_level': 150, 'target_conrey_index': 103, 'target_dim': 32, 'target_embedding_index': 2, 'target_hecke_orbit_code': 687245099158, 'target_is_minimal': True, 'target_label': '150.3.k.a.103.2', 'target_level': 150, 'twist_class_label': '150.3.k.a.67.2', 'twist_class_level': 150, 'twisting_char_label': '25.3', 'twisting_conrey_index': 3, 'weight': 3}
• hecke_orbit_code 687245099158 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 11, 'hecke_orbit': 1, 'label': '150.3.k.a', 'level': 150, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 10660368
    {'hecke_orbit_code': 687245099158, 'n': 1, 'trace_an': 32}
  • id: 10660369
    {'hecke_orbit_code': 687245099158, 'n': 2, 'trace_an': 8}
  • id: 10660370
    {'hecke_orbit_code': 687245099158, 'n': 3, 'trace_an': 0}
  • id: 10660371
    {'hecke_orbit_code': 687245099158, 'n': 4, 'trace_an': 0}
  • id: 10660372
    {'hecke_orbit_code': 687245099158, 'n': 5, 'trace_an': 0}
  • id: 10660373
    {'hecke_orbit_code': 687245099158, 'n': 6, 'trace_an': 0}
  • id: 10660374
    {'hecke_orbit_code': 687245099158, 'n': 7, 'trace_an': 8}
  • id: 10660375
    {'hecke_orbit_code': 687245099158, 'n': 8, 'trace_an': -16}
  • id: 10660376
    {'hecke_orbit_code': 687245099158, 'n': 9, 'trace_an': 0}
  • id: 10660377
    {'hecke_orbit_code': 687245099158, 'n': 10, 'trace_an': 20}
  • id: 10660378
    {'hecke_orbit_code': 687245099158, 'n': 11, 'trace_an': 32}
  • id: 10660379
    {'hecke_orbit_code': 687245099158, 'n': 12, 'trace_an': 0}
  • id: 10660380
    {'hecke_orbit_code': 687245099158, 'n': 13, 'trace_an': -16}
  • id: 10660381
    {'hecke_orbit_code': 687245099158, 'n': 14, 'trace_an': -60}
  • id: 10660382
    {'hecke_orbit_code': 687245099158, 'n': 15, 'trace_an': 0}
  • id: 10660383
    {'hecke_orbit_code': 687245099158, 'n': 16, 'trace_an': 32}
  • id: 10660384
    {'hecke_orbit_code': 687245099158, 'n': 17, 'trace_an': 148}
  • id: 10660385
    {'hecke_orbit_code': 687245099158, 'n': 18, 'trace_an': -96}
  • id: 10660386
    {'hecke_orbit_code': 687245099158, 'n': 19, 'trace_an': 180}
  • id: 10660387
    {'hecke_orbit_code': 687245099158, 'n': 20, 'trace_an': 40}
  • id: 10660388
    {'hecke_orbit_code': 687245099158, 'n': 21, 'trace_an': -36}
  • id: 10660389
    {'hecke_orbit_code': 687245099158, 'n': 22, 'trace_an': 48}
  • id: 10660390
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  • id: 10660395
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  • id: 10660396
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  • id: 10660397
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  • id: 10660398
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  • id: 10660399
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  • id: 10660400
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  • id: 10660401
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  • id: 10660402
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  • id: 10660403
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  • id: 10660404
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  • id: 10660405
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  • id: 10660406
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  • id: 10660407
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  • id: 10660408
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  • id: 10660409
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  • id: 10660410
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  • id: 10660411
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  • id: 10660412
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  • id: 10660413
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  • id: 10660414
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  • id: 10660415
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  • id: 10660416
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  • id: 10660417
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  • id: 10660418
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  • id: 10660419
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  • id: 10660420
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  • id: 10660421
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  • id: 10660422
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  • id: 10660423
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  • id: 10660424
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  • id: 10660425
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  • id: 10660426
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  • id: 10660427
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  • id: 10660428
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  • id: 10660429
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  • id: 10660430
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  • id: 10660431
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  • id: 10660432
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  • id: 10660433
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  • id: 10660434
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  • id: 10660435
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  • id: 10660436
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  • id: 10660437
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  • id: 10660438
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  • id: 10660439
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  • id: 10660440
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  • id: 10660441
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  • id: 10660442
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  • id: 10660443
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  • id: 10660444
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  • id: 10660445
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  • id: 10660446
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  • id: 10660447
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  • id: 10660448
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  • id: 10660449
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  • id: 10660450
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  • id: 10660451
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  • id: 10660452
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  • id: 10660453
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  • id: 10660454
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  • id: 10660455
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  • id: 10660456
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  • id: 10660457
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  • id: 10660458
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  • id: 10660459
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  • id: 10660460
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  • id: 10660461
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  • id: 10660462
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  • id: 10660463
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  • id: 10660464
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  • id: 10660465
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  • id: 10660466
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  • id: 10660467
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  • id: 10660468
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  • id: 10660469
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  • id: 10660470
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  • id: 10660471
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  • id: 10660472
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  • id: 10660473
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  • id: 10660474
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  • id: 10660475
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  • id: 10660476
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  • id: 10660477
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  • id: 10660478
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  • id: 10660479
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  • id: 10660480
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  • id: 10660481
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  • id: 10660482
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  • id: 10660483
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  • id: 10660484
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  • id: 10660485
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  • id: 10660486
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  • id: 10660487
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  • id: 10660488
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  • id: 10660489
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  • id: 10660490
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  • id: 10660491
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  • id: 10660492
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  • id: 10660493
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  • id: 10660494
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  • id: 10660495
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  • id: 10660496
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  • id: 10660497
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  • id: 10660498
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  • id: 10660499
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  • id: 10660500
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  • id: 10660501
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  • id: 10660502
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  • id: 10660503
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  • id: 10660504
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  • id: 10660505
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  • id: 10660506
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  • id: 10660507
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  • id: 10660508
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  • id: 10660509
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  • id: 10660510
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  • id: 10660511
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  • id: 10660512
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  • id: 10660513
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  • id: 10660514
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  • id: 10660515
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  • id: 10660516
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  • id: 10660517
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  • id: 10660518
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  • id: 10660519
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  • id: 10660520
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  • id: 10660521
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  • id: 10660522
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  • id: 10660523
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  • id: 10660524
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  • id: 10660525
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  • id: 10660526
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  • id: 10660527
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  • id: 10660528
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  • id: 10660529
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  • id: 10660530
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  • id: 10660531
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  • id: 10660532
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  • id: 10660533
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  • id: 10660534
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  • id: 10660535
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  • id: 10660536
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  • id: 10660537
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  • id: 10660538
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  • id: 10660539
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  • id: 10660540
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  • id: 10660541
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  • id: 10660542
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  • id: 10660543
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  • id: 10660544
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  • id: 10660545
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  • id: 10660546
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  • id: 10660547
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  • id: 10660548
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  • id: 10660549
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  • id: 10660550
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  • id: 10660551
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  • id: 10660552
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  • id: 10660553
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  • id: 10660554
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  • id: 10660555
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  • id: 10660556
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  • id: 10660557
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  • id: 10660558
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  • id: 10660559
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  • id: 10660560
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  • id: 10660561
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  • id: 10660562
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  • id: 10660563
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  • id: 10660564
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  • id: 10660565
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  • id: 10660566
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  • id: 10660567
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  • id: 10660568
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  • id: 10660569
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  • id: 10660570
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  • id: 10660571
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  • id: 10660572
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  • id: 10660573
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  • id: 10660574
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  • id: 10660575
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  • id: 10660576
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  • id: 10660577
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  • id: 10660578
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  • id: 10660579
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  • id: 10660580
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  • id: 10660581
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  • id: 10660582
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  • id: 10660583
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  • id: 10660584
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  • id: 10660585
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  • id: 10660586
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  • id: 10660587
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  • id: 10660588
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  • id: 10660589
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  • id: 10660590
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  • id: 10660591
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  • id: 10660592
    {'hecke_orbit_code': 687245099158, 'n': 773, 'trace_an': -6356}
  • id: 10660593
    {'hecke_orbit_code': 687245099158, 'n': 787, 'trace_an': -4312}
  • id: 10660594
    {'hecke_orbit_code': 687245099158, 'n': 797, 'trace_an': 412}
  • id: 10660595
    {'hecke_orbit_code': 687245099158, 'n': 809, 'trace_an': -4080}
  • id: 10660596
    {'hecke_orbit_code': 687245099158, 'n': 811, 'trace_an': 7248}
  • id: 10660597
    {'hecke_orbit_code': 687245099158, 'n': 821, 'trace_an': 1860}
  • id: 10660598
    {'hecke_orbit_code': 687245099158, 'n': 823, 'trace_an': 2348}
  • id: 10660599
    {'hecke_orbit_code': 687245099158, 'n': 827, 'trace_an': 4264}
  • id: 10660600
    {'hecke_orbit_code': 687245099158, 'n': 829, 'trace_an': 3340}
  • id: 10660601
    {'hecke_orbit_code': 687245099158, 'n': 839, 'trace_an': 6660}
  • id: 10660602
    {'hecke_orbit_code': 687245099158, 'n': 841, 'trace_an': 4528}
  • id: 10660603
    {'hecke_orbit_code': 687245099158, 'n': 853, 'trace_an': -2200}
  • id: 10660604
    {'hecke_orbit_code': 687245099158, 'n': 857, 'trace_an': -4676}
  • id: 10660605
    {'hecke_orbit_code': 687245099158, 'n': 859, 'trace_an': 5080}
  • id: 10660606
    {'hecke_orbit_code': 687245099158, 'n': 863, 'trace_an': 3460}
  • id: 10660607
    {'hecke_orbit_code': 687245099158, 'n': 877, 'trace_an': -576}
  • id: 10660608
    {'hecke_orbit_code': 687245099158, 'n': 881, 'trace_an': -2812}
  • id: 10660609
    {'hecke_orbit_code': 687245099158, 'n': 883, 'trace_an': 2956}
  • id: 10660610
    {'hecke_orbit_code': 687245099158, 'n': 887, 'trace_an': 612}
  • id: 10660611
    {'hecke_orbit_code': 687245099158, 'n': 907, 'trace_an': -7724}
  • id: 10660612
    {'hecke_orbit_code': 687245099158, 'n': 911, 'trace_an': -6796}
  • id: 10660613
    {'hecke_orbit_code': 687245099158, 'n': 919, 'trace_an': -4860}
  • id: 10660614
    {'hecke_orbit_code': 687245099158, 'n': 929, 'trace_an': 1980}
  • id: 10660615
    {'hecke_orbit_code': 687245099158, 'n': 937, 'trace_an': 3608}
  • id: 10660616
    {'hecke_orbit_code': 687245099158, 'n': 941, 'trace_an': -2060}
  • id: 10660617
    {'hecke_orbit_code': 687245099158, 'n': 947, 'trace_an': -2692}
  • id: 10660618
    {'hecke_orbit_code': 687245099158, 'n': 953, 'trace_an': 1156}
  • id: 10660619
    {'hecke_orbit_code': 687245099158, 'n': 961, 'trace_an': 4676}
  • id: 10660620
    {'hecke_orbit_code': 687245099158, 'n': 967, 'trace_an': -472}
  • id: 10660621
    {'hecke_orbit_code': 687245099158, 'n': 971, 'trace_an': 5856}
  • id: 10660622
    {'hecke_orbit_code': 687245099158, 'n': 977, 'trace_an': -5680}
  • id: 10660623
    {'hecke_orbit_code': 687245099158, 'n': 983, 'trace_an': -4064}
  • id: 10660624
    {'hecke_orbit_code': 687245099158, 'n': 991, 'trace_an': -4484}
  • id: 10660625
    {'hecke_orbit_code': 687245099158, 'n': 997, 'trace_an': -7092}