Embedded newform data - 256.8.b.e.129.2

Formats: - HTML - YAML - JSON - 2025-04-07T15:52:37.798787

• 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': 16384, 'analytic_conductor': 79.97056652393518, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [256, 2, [255, 5], [2, 1]], 'cm_discs': [], 'conrey_index': 129, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [7056, 0, 1]], [7, [-456, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014467363176704, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '256.8.b.e', 'level': 256, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '8.8.a.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+42\\beta q^{3}-41\\beta q^{5}+456 q^{7}-4869 q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '7.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '256.8.b', 'trace_display': [0, 0, 0, 912], 'trace_hash': 2285997266884089159, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.002', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '16.050', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '163.442', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.507', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 912, 0, -9738, 0, 0, 0, 0, 0, 13776, 0, -22300, 0, 0, 0, 0, 0, -163408, 0, 142802, 0, 0, 0, 0, 0, -80960, 0, 424032, 0, 0, 0, 0, 0, -1810704, 0, -282804, 0, 0, 0, 0, 0, -1364064, 0, -1231214, 0, 0, 0, 0, 0, -413936, 0, 692832, 0, 0, 0, 0, 0, -4440528, 0, 1767592, 0, 0, 0, 0, 0, 5096464, 0, 3360652, 0, 0, 0, 0, 0, 8076128, 0, 16551378, 0, 0, 0, 0, 0, 16766064, 0, 12946092, 0, 0, 0, 0, 0, -676336, 0, -12131516, 0, 0, 0, 0, 0, -8203184, 0, 6281856, 0, 0, 0, 0, 0, 70466256, 0, 18677796, 0, 0, 0, 0, 0, -10168800, 0, 26233190, 0, 0, 0, 0, 0, -71958784, 0, 115991904, 0, 0, 0, 0, 0, -36947232, 0, 59168268, 0, 0, 0, 0, 0, 54407344, 0, -16366872, 0, 0, 0, 0, 0, 35259056, 0, 108578700, 0, 0, 0, 0, 0, -304603824, 0, -74514048, 0, 0, 0, 0, 0, -229534512, 0, -106833534, 0, 0, 0, 0, 0, 65117712, 0, 162292704, 0, 0, 0, 0, 0, 317128560, 0, 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2151245688, 0, 0, 0, 0, 0, 4208184576, 0, -188754816, 0, 0, 0, 0, 0, 1821999200, 0, -113576736, 0, 0, 0, 0, 0, 315931392, 0, 1819962852, 0, 0, 0, 0, 0, -2117343216, 0, 71121708, 0, 0, 0, 0, 0, 883265296, 0, 5360618592, 0, 0, 0, 0, 0, 6641627616, 0, -1592242300, 0, 0, 0, 0, 0, -2126885728, 0, -1411924060, 0, 0, 0, 0, 0, -2970129168, 0, 5994780966, 0, 0, 0, 0, 0, 1958923344, 0, -2459369852, 0, 0, 0, 0, 0, 806021952, 0, 177110156, 0, 0, 0, 0, 0, -6595499936, 0, -557652480, 0, 0, 0, 0, 0, 1066225776, 0, -3485280544, 0, 0, 0, 0, 0, -9030145984, 0, 9041491752, 0, 0, 0, 0, 0, -6626752688, 0, 13511137248, 0, 0, 0, 0, 0, 2015454384, 0, 2323987584, 0, 0, 0, 0, 0, -609157776, 0, 1590912504, 0, 0, 0, 0, 0, 1532457312, 0, -1858175424, 0, 0, 0, 0, 0, -10647091728, 0, -8299265780, 0, 0, 0, 0, 0, 902704000, 0, 6541436338, 0, 0, 0, 0, 0, 11955600, 0, -1902223008, 0, 0, 0, 0, 0, 878051664, 0, -1567578584, 0, 0, 0, 0, 0, -823133904, 0, 3682714368, 0, 0, 0, 0, 0, 14882865968, 0, -4727956800, 0, 0, 0, 0, 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0, 0, 0, 0, 12279271968, 0, 66197238240, 0, 0, 0, 0, 0, -34645110528, 0, -29507195924, 0, 0, 0, 0, 0, 20823699568, 0, 39518392324, 0, 0, 0, 0, 0, -5780624960, 0, 32132612736, 0, 0, 0, 0, 0, -44966583648, 0, -1040839448, 0, 0, 0, 0, 0, 8517074976, 0, 40690614520, 0, 0, 0, 0, 0, 15209313600, 0, -63034521948, 0, 0, 0, 0, 0, -24869509392, 0, -30748342964, 0, 0, 0, 0, 0, -13189443504, 0, -5694650144, 0, 0, 0, 0, 0, 63392083952, 0, 30276308832, 0, 0, 0, 0, 0, 66504405072, 0, 13728036100, 0, 0, 0, 0, 0, 36447468048, 0, 14580471010, 0, 0, 0, 0, 0, 11962334640, 0, -13537394976, 0, 0, 0, 0, 0, 3293079984, 0, -59352225108, 0, 0, 0, 0, 0, 42697069888, 0, 10393589544, 0, 0, 0, 0, 0, 63932250608, 0, 59068351404, 0, 0, 0, 0, 0, -126761028912, 0, 14640894500, 0, 0, 0, 0, 0, -11612688272, 0, -32813205504, 0, 0, 0, 0, 0, 1856931984, 0, 147941759616, 0, 0, 0, 0, 0, 52892308224, 0, -857145672, 0, 0, 0, 0, 0, 37540539616, 0, 27187336672, 0, 0, 0, 0, 0, -75168814928, 0, 137839349088, 0, 0, 0, 0, 0, 39941302896, 0, -38474473276, 0, 0, 0, 0, 0, 4615386400, 0, -2094631860, 0, 0, 0, 0, 0, 23106218016, 0, -16847937792, 0, 0, 0, 0, 0, -59592628368, 0, 21209631084, 0, 0, 0, 0, 0, 26980730208, 0, -51747967422, 0, 0, 0, 0, 0, 33018075920, 0, -7725076800, 0, 0, 0, 0, 0, -129286076304, 0, -50777166492, 0, 0, 0, 0, 0, -37516994256, 0, -22717587336, 0, 0, 0, 0, 0, -7195839424, 0, 51331299936, 0, 0, 0, 0, 0, -188990498592, 0], 'weight': 8, '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], [0.0, 0.0], [0.0, 1.7962008374788356], [0.0, 0.0], [0.0, -0.2933721186479724], [0.0, 0.0], [0.5024833810268443, 0.0], [0.0, 0.0], [-2.2263374485596708, 0.0], [0.0, 0.0], [0.0, -0.5717615580122279], [0.0, 0.0], [0.0, 1.3606187334810012], [0.0, 0.0], [0.5269552452084284, 0.0], [0.0, 0.0], [-0.550431959933872, 0.0], [0.0, 0.0], [0.0, -0.13793708798399135], [0.0, 0.0], [0.0, 0.9025610698196147], [0.0, 0.0], [-1.4002187627286296, 0.0], [0.0, 0.0], [0.9139328, 0.0], [0.0, 0.0], [0.0, -2.2027483521345395], [0.0, 0.0], [0.0, -0.7598517101723491], [0.0, 0.0], [-0.24404761928246277, 0.0], [0.0, 0.0], [1.0269985893397677, 0.0], [0.0, 0.0], [0.0, -0.1474146140772417], [0.0, 0.0], [0.0, -1.3613377299139966], [0.0, 0.0], [-2.4439445085679674, 0.0], [0.0, 0.0], [-0.32041442054776736, 0.0], [0.0, 0.0], [0.0, -1.3242768928220103], [0.0, 0.0], [0.0, 0.6531453341092719], [0.0, 0.0], [-0.9582134197749248, 0.0], [0.0, 0.0], [-0.7475104517918312, 0.0], [0.0, 0.0], [0.0, -0.9886863474083376], [0.0, 0.0], [0.0, 1.6728635785616257], [0.0, 0.0], [-0.1677388996355129, 0.0], [0.0, 0.0], [0.2477627129562371, 0.0], [0.0, 0.0], [0.0, -0.6123612116963434], [0.0, 0.0], [0.0, -1.0648088480662687], [0.0, 0.0], [-1.1186975684589415, 0.0], [0.0, 0.0], [0.39916760051344224, 0.0], [0.0, 0.0], [0.0, -1.2047307866796988], [0.0, 0.0], [0.0, -2.5150741142667434], [0.0, 0.0], [0.8449572654717623, 0.0], [0.0, 0.0], [0.5055493274162448, 0.0], [0.0, 0.0], [0.0, 1.6416068607593772], [0.0, 0.0], [0.0, -0.2873006808111605], [0.0, 0.0], [0.9214640118864722, 0.0], [0.0, 0.0], [1.730240986299514, 0.0], [0.0, 0.0], [0.0, 1.0338891928972058], [0.0, 0.0], [0.0, 0.16148139025735586], [0.0, 0.0], [1.3648462781712989, 0.0], [0.0, 0.0], [0.9732931571719676, 0.0], [0.0, 0.0], [0.0, 0.6836883014879963], [0.0, 0.0], [0.0, -0.43835853813987563], [0.0, 0.0], [-0.04046689574199532, 0.0], [0.0, 0.0], [-0.674813884483114, 0.0], [0.0, 0.0], [0.0, 1.2729341682494457], [0.0, 0.0], [0.0, 0.936866346878182], [0.0, 0.0], [-0.36984706012429813, 0.0], [0.0, 0.0], [0.26478625326216093, 0.0], [0.0, 0.0], [0.0, 0.0057528666382673], [0.0, 0.0], [0.0, -0.7069565632596309], [0.0, 0.0], [2.4452359705630577, 0.0], [0.0, 0.0], [0.608865098222939, 0.0], [0.0, 0.0], [0.0, 0.41078514499234065], [0.0, 0.0], [0.0, -3.029196439560583], [0.0, 0.0], [-0.27658291225280446, 0.0], [0.0, 0.0], [0.6730887207794297, 0.0], [0.0, 0.0], [0.0, -0.5755286505281956], [0.0, 0.0], [0.0, -0.561494520485846], [0.0, 0.0], [-1.5586219811448372, 0.0], [0.0, 0.0], [2.3786672639407653, 0.0], [0.0, 0.0], [0.0, 0.026274264472114697], [0.0, 0.0], [0.0, -0.06931109433919329], [0.0, 0.0], [-0.6462249509140398, 0.0], [0.0, 0.0], [0.9829623326637296, 0.0], [0.0, 0.0], [0.0, -1.0077523641333075], [0.0, 0.0], [0.0, -1.7211437470831792], [0.0, 0.0], [0.7779494869157216, 0.0], [0.0, 0.0], [-0.22291930607154714, 0.0], [0.0, 0.0], [0.0, -1.34267889953267], [0.0, 0.0], [0.0, -0.2887727578353689], [0.0, 0.0], 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'angles': [None, 0.1775263565529419, -0.4765696462111128, -0.2095805522341566, -0.45385693287012885, 0.1190772855111509, -0.29437468213359086, -0.48901459456656693, -0.3734327231715244, -0.4379747499227858, -0.2694692133682461, -0.3808446315398987, -0.27560812124091427, -0.3848245347091281, -0.329519655751743, 0.157681170968515, -0.4504744275496372, -0.4106442875501396, -0.39711251397920244, -0.18058007465219153, -0.20932843488076125, -0.17379346499838824, 0.08646534255324344, -0.16910997725073396, -0.30477491527989814, 0.07759066225961307, -0.2796018724103248, 0.00045779921251091885, -0.44249941508922835, -0.20076658897804833, -0.3922153710228194, 0.0020908996790847687, -0.1682278308037112, -0.415953391095824, -0.4769395906292584, -0.21659551209604355, -0.48957702414819754, -0.3703942733984326, -0.45122744433584316, 0.07702625651466187, 0.011753074090272075, -0.49478560878425387, -0.3227758558186883, -0.15227017795295253, -0.38833680387386443, -0.23425393034213285, 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0.04159689540018419, -0.335258119601487, 0.05215607670945393, 0.09818870554967225, -0.021363605423863643, -0.4698370241637906, 0.06202977006525503, -0.16059843865741336, -0.37973135499533994, -0.3989911325452088, 0.04998201736237044, -0.15437485215367103, 0.03179228365562526, -0.2211401071041545, 0.013825721822356305, -0.2723039975091952, 0.06490464652673027, -0.18254280623557306, -0.3972342866942135, -0.31438565345253777, -0.2533098673029935, 0.024942090717483482, 0.013014257540967572, -0.21820486055055682, -0.20257972451188522, -0.42902323998747743, -0.32171231519040255, -0.3009925529879789, -0.259350475158747, -0.46558227832647525], 'char_orbit_index': 2, 'conrey_index': 129, 'dual_conrey_index': 129, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 5, 'hecke_orbit_code': 18014467363176704, 'label': '256.8.b.e.129.2', 'level': 256, 'weight': 8}
• 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': 16384, 'analytic_conductor': 79.97056652393518, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [256, 2, [255, 5], [2, 1]], 'conrey_index': 129, 'cusp_dim': 212, 'dim': 54, 'eis_dim': 24, 'eis_new_dim': 4, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 68853694720, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 6, 6, 8, 8], 'label': '256.8.b', 'level': 256, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 236, 'mf_new_dim': 58, 'num_forms': 14, 'prim_orbit_index': 2, 'relative_dim': 54, 'sturm_bound': 256, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, 0, 0, 0, 0, 0, -36446, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -718746, 0, 0, 0, 0, 0, 0, 0, -8752, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 2897062, 0, 0, 0, 0, 0, 0, 0, -6195632, 0, 0, 0, 0, 0, 0, 0, -3166280, 0, 0, 0, 0, 0, 0, 0, -10438860, 0, 0, 0, 0, 0, 0, 0, 20186006, 0, 0, 0, 0, 0, 0, 0, -9562092, 0, 0, 0, 0, 0, 0, 0, -30397220, 0, 0, 0, 0, 0, 0, 0, 3615424, 0, 0, 0, 0, 0, 0, 0, 27020428, 0, 0, 0, 0, 0, 0, 0, -39321998, 0, 0, 0, 0, 0, 0, 0, -168054896, 0, 0, 0, 0, 0, 0, 0, 70348804, 0, 0, 0, 0, 0, 0, 0, -68654920, 0, 0, 0, 0, 0, 0, 0, -102901708, 0, 0, 0, 0, 0, 0, 0, -96557248, 0, 0, 0, 0, 0, 0, 0, 61662326, 0, 0, 0, 0, 0, 0, 0, -306992816, 0, 0, 0, 0, 0, 0, 0, 173050664, 0, 0, 0, 0, 0, 0, 0, 66131740, 0, 0, 0, 0, 0, 0, 0, -678711152, 0, 0, 0, 0, 0, 0, 0, -74785840, 0, 0, 0, 0, 0, 0, 0, 199406592, 0, 0, 0, 0, 0, 0, 0, 1472470578, 0, 0, 0, 0, 0, 0, 0, -210086668, 0, 0, 0, 0, 0, 0, 0, 807858748, 0, 0, 0, 0, 0, 0, 0, 205780496, 0, 0, 0, 0, 0, 0, 0, 1258660396, 0, 0, 0, 0, 0, 0, 0, 640151400, 0, 0, 0, 0, 0, 0, 0, -79571136, 0, 0, 0, 0, 0, 0, 0, -927630380, 0, 0, 0, 0, 0, 0, 0, -1372658942, 0, 0, 0, 0, 0, 0, 0, 1751621536, 0, 0, 0, 0, 0, 0, 0, -2991609736, 0, 0, 0, 0, 0, 0, 0, 1102519396, 0, 0, 0, 0, 0, 0, 0, -4056973872, 0, 0, 0, 0, 0, 0, 0, -413247872, 0, 0, 0, 0, 0, 0, 0, 2673718924, 0, 0, 0, 0, 0, 0, 0, 3397211456, 0, 0, 0, 0, 0, 0, 0, 1866346988, 0, 0, 0, 0, 0, 0, 0, 558238274, 0, 0, 0, 0, 0, 0, 0, 7471511820, 0, 0, 0, 0, 0, 0, 0, -1680319704, 0, 0, 0, 0, 0, 0, 0, 2541442240, 0, 0, 0, 0, 0, 0, 0, 3188416528, 0, 0, 0, 0, 0, 0, 0, -1491203204, 0, 0, 0, 0, 0, 0, 0, -5881341916, 0, 0, 0, 0, 0, 0, 0, -9155705840, 0, 0, 0, 0, 0, 0, 0, -5632449316, 0, 0, 0, 0, 0, 0, 0, -5745403588, 0, 0, 0, 0, 0, 0, 0, -71963150, 0, 0, 0, 0, 0, 0, 0, -4088679524, 0, 0, 0, 0, 0, 0, 0, -4433800124, 0, 0, 0, 0, 0, 0, 0, -3727457280, 0, 0, 0, 0, 0, 0, 0, -5223954672, 0, 0, 0, 0, 0, 0, 0, 10764443512, 0, 0, 0, 0, 0, 0, 0, 3287717968, 0, 0, 0, 0, 0, 0, 0, 6110468544, 0, 0, 0, 0, 0, 0, 0, -19179176280, 0, 0, 0, 0, 0, 0, 0, 18616735904, 0, 0, 0, 0, 0, 0, 0, -3101997180, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 84909388112, 0, 0, 0, 0, 0, 0, 0], 'weight': 8, '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: 44187430
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014467363176704, 'target_is_minimal': False, 'target_label': '256.8.b.e.129.2', 'target_level': 256, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 44187431
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268108435712, 'target_is_minimal': False, 'target_label': '256.8.b.c.129.1', 'target_level': 256, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 44187432
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268108435712, 'target_is_minimal': False, 'target_label': '256.8.b.c.129.2', 'target_level': 256, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 44187433
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 129, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014467363176704, 'target_is_minimal': False, 'target_label': '256.8.b.e.129.1', 'target_level': 256, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 44187434
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199388958736, 'target_is_minimal': False, 'target_label': '16.8.a.c.1.1', 'target_level': 16, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 44187435
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597898440768, 'target_is_minimal': False, 'target_label': '64.8.a.g.1.1', 'target_level': 64, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 44187436
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 134217792, 'target_is_minimal': False, 'target_label': '64.8.a.a.1.1', 'target_level': 64, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 8}
  • id: 44187437
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 134217736, 'target_is_minimal': True, 'target_label': '8.8.a.a.1.1', 'target_level': 8, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 8}
  • id: 44187438
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396780552768, 'target_is_minimal': False, 'target_label': '576.8.a.j.1.1', 'target_level': 576, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 8}
  • id: 44187439
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996407923264, 'target_is_minimal': False, 'target_label': '576.8.a.k.1.1', 'target_level': 576, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 8}
  • id: 44187440
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799016329288, 'target_is_minimal': False, 'target_label': '72.8.a.d.1.1', 'target_level': 72, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 8}
  • id: 44187441
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597898440848, 'target_is_minimal': False, 'target_label': '144.8.a.g.1.1', 'target_level': 144, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 8}
  • id: 44187442
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737200542096, 'target_is_minimal': False, 'target_label': '400.8.c.b.49.2', 'target_level': 400, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '80.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 44187443
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137573171400, 'target_is_minimal': False, 'target_label': '200.8.c.a.49.1', 'target_level': 200, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '80.13', 'twisting_conrey_index': 13, 'weight': 8}
  • id: 44187444
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599761588624, 'target_is_minimal': False, 'target_label': '400.8.a.b.1.1', 'target_level': 400, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '80.19', 'twisting_conrey_index': 19, 'weight': 8}
  • id: 44187445
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797153181896, 'target_is_minimal': False, 'target_label': '200.8.a.i.1.1', 'target_level': 200, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '80.29', 'twisting_conrey_index': 29, 'weight': 8}
  • id: 44187446
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737200542096, 'target_is_minimal': False, 'target_label': '400.8.c.b.49.1', 'target_level': 400, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '80.67', 'twisting_conrey_index': 67, 'weight': 8}
  • id: 44187447
    {'conductor': 80, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137573171400, 'target_is_minimal': False, 'target_label': '200.8.c.a.49.2', 'target_level': 200, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '80.77', 'twisting_conrey_index': 77, 'weight': 8}
  • id: 44187448
    {'conductor': 112, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 129, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014467363176704, 'source_is_minimal': False, 'source_label': '256.8.b.e.129.2', 'source_level': 256, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510799016329608, 'target_is_minimal': False, 'target_label': '392.8.a.d.1.1', 'target_level': 392, 'twist_class_label': '8.8.a.a.1.1', 'twist_class_level': 8, 'twisting_char_label': '112.13', 'twisting_conrey_index': 13, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 597500
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 2}
  • id: 597501
    {'charpoly_factorization': [[[7056, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 3}
  • id: 597502
    {'charpoly_factorization': [[[6724, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 5}
  • id: 597503
    {'charpoly_factorization': [[[-456, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 7}
  • id: 597504
    {'charpoly_factorization': [[[6370576, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 11}
  • id: 597505
    {'charpoly_factorization': [[[116165284, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 13}
  • id: 597506
    {'charpoly_factorization': [[[11150, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 17}
  • id: 597507
    {'charpoly_factorization': [[[17007376, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 19}
  • id: 597508
    {'charpoly_factorization': [[[81704, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 23}
  • id: 597509
    {'charpoly_factorization': [[[9959640804, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 29}
  • id: 597510
    {'charpoly_factorization': [[[40480, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 31}
  • id: 597511
    {'charpoly_factorization': [[[175931591364, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 37}
  • id: 597512
    {'charpoly_factorization': [[[141402, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 41}
  • id: 597513
    {'charpoly_factorization': [[[476690823184, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 43}
  • id: 597514
    {'charpoly_factorization': [[[682032, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 47}
  • id: 597515
    {'charpoly_factorization': [[[3287396881924, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 53}
  • id: 597516
    {'charpoly_factorization': [[[933210096784, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 59}
  • id: 597517
    {'charpoly_factorization': [[[3563298028900, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 61}
  • id: 597518
    {'charpoly_factorization': [[[8796372993424, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 67}
  • id: 597519
    {'charpoly_factorization': [[[-2548232, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 71}
  • id: 597520
    {'charpoly_factorization': [[[-1680326, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 73}
  • id: 597521
    {'charpoly_factorization': [[[-4038064, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 79}
  • id: 597522
    {'charpoly_factorization': [[[29006453863696, 0, 1], 1]], 'hecke_orbit_code': 18014467363176704, 'p': 83}
  • id: 597523
    {'charpoly_factorization': [[[-6473046, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 89}
  • id: 597524
    {'charpoly_factorization': [[[6065758, 1], 2]], 'hecke_orbit_code': 18014467363176704, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 2, 'hecke_orbit': 5, 'label': '256.8.b.e', 'level': 256, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 40527649
    {'hecke_orbit_code': 18014467363176704, 'n': 1, 'trace_an': 2}
  • id: 40527650
    {'hecke_orbit_code': 18014467363176704, 'n': 2, 'trace_an': 0}
  • id: 40527651
    {'hecke_orbit_code': 18014467363176704, 'n': 3, 'trace_an': 0}
  • id: 40527652
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  • id: 40527655
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  • id: 40527656
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  • id: 40527657
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  • id: 40527660
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  • id: 40527661
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  • id: 40527662
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  • id: 40527663
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  • id: 40527664
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  • id: 40527665
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  • id: 40527666
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  • id: 40527667
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  • id: 40527668
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  • id: 40527669
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  • id: 40527670
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  • id: 40527671
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  • id: 40527672
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  • id: 40527673
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  • id: 40527674
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  • id: 40527675
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  • id: 40527676
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  • id: 40527679
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  • id: 40527680
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  • id: 40527681
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  • id: 40527687
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  • id: 40527688
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  • id: 40527689
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  • id: 40527690
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  • id: 40527692
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  • id: 40527694
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  • id: 40527695
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  • id: 40527696
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  • id: 40527697
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  • id: 40527700
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  • id: 40527701
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  • id: 40527702
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  • id: 40527703
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  • id: 40527704
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  • id: 40527705
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  • id: 40527706
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  • id: 40527711
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  • id: 40527712
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  • id: 40527713
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  • id: 40527714
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  • id: 40527715
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  • id: 40527716
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  • id: 40527717
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  • id: 40527718
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  • id: 40527719
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  • id: 40527720
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  • id: 40527721
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  • id: 40527722
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  • id: 40527723
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  • id: 40527724
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  • id: 40527725
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  • id: 40527726
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  • id: 40527727
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  • id: 40527728
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  • id: 40527729
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  • id: 40527730
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  • id: 40527731
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  • id: 40527732
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  • id: 40527733
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  • id: 40527734
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  • id: 40527735
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  • id: 40527736
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  • id: 40527737
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  • id: 40527738
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  • id: 40527739
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  • id: 40527740
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  • id: 40527741
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  • id: 40527742
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  • id: 40527743
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  • id: 40527744
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  • id: 40527745
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  • id: 40527746
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  • id: 40527747
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  • id: 40527748
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  • id: 40527750
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  • id: 40527752
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  • id: 40527753
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  • id: 40527754
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  • id: 40527755
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  • id: 40527756
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  • id: 40527757
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  • id: 40527759
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  • id: 40527760
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  • id: 40527761
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  • id: 40527762
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  • id: 40527763
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  • id: 40527764
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  • id: 40527765
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  • id: 40527766
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  • id: 40527767
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  • id: 40527770
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  • id: 40527771
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  • id: 40527773
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  • id: 40527778
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  • id: 40527780
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  • id: 40527784
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  • id: 40527785
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  • id: 40527786
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  • id: 40527787
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  • id: 40527788
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  • id: 40527789
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  • id: 40527790
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  • id: 40527791
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  • id: 40527794
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  • id: 40527802
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  • id: 40527808
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  • id: 40527812
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  • id: 40527816
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  • id: 40527819
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  • id: 40527822
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  • id: 40527849
    {'hecke_orbit_code': 18014467363176704, 'n': 625, 'trace_an': 9145580602}
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  • id: 40527864
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  • id: 40527865
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  • id: 40527868
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  • id: 40527871
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  • id: 40527872
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  • id: 40527882
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  • id: 40527883
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  • id: 40527888
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  • id: 40527889
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  • id: 40527890
    {'hecke_orbit_code': 18014467363176704, 'n': 883, 'trace_an': 0}
  • id: 40527891
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  • id: 40527892
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  • id: 40527893
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  • id: 40527894
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  • id: 40527896
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  • id: 40527897
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  • id: 40527899
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  • id: 40527900
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  • id: 40527902
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  • id: 40527903
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  • id: 40527906
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