Embedded newform data - 825.4.c.b.199.1

Formats: - HTML - YAML - JSON - 2023-09-28T07:31:40.538230

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 13200, 'analytic_conductor': 48.67657575473601, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [825, 2, [551, 727, 376], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 199, 'conrey_indexes': [199], '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': [[2, [25, 0, 1]], [7, [9, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503737133433657, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '825.4.c.b', 'level': 825, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 11], 'level_radical': 165, 'minimal_twist': '825.4.a.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+5iq^{2}-3iq^{3}-17q^{4}+15q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '825.4.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 227377823517166062, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.009', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.083', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.176', 'prec': 17}, {'__RealLiteral__': 0, 'data': '17.213', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2.731', 'prec': 17}, {'__RealLiteral__': 0, 'data': '177.205', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 0, -34, 0, 30, 0, 0, -18, 0, -22, 0, 0, -30, 0, 178, 0, 0, -94, 0, 18, 0, 0, -270, 0, 320, 0, 0, 108, 0, 356, 0, 0, -330, 0, 306, 0, 0, -192, 0, 278, 0, 0, 374, 0, 1130, 0, 0, 668, 0, 198, 0, 0, -270, 0, 270, 0, 0, 1250, 0, 640, 0, 0, 574, 0, -330, 0, 0, -678, 0, -1894, 0, 0, -190, 0, 1598, 0, 0, 1442, 0, 162, 0, 0, -306, 0, -3080, 0, 0, -808, 0, 192, 0, 0, -1950, 0, 510, 0, 0, 198, 0, -1090, 0, 0, -2880, 0, 1520, 0, 0, 1152, 0, 114, 0, 0, -1410, 0, -1836, 0, 0, -198, 0, 242, 0, 0, -6052, 0, 270, 0, 0, 1848, 0, 3636, 0, 0, -2000, 0, 2970, 0, 0, 1272, 0, 1170, 0, 0, -1602, 0, -4480, 0, 0, 478, 0, 2416, 0, 0, 330, 0, 3264, 0, 0, -912, 0, 678, 0, 0, -4726, 0, 1420, 0, 0, 2346, 0, 846, 0, 0, 1620, 0, -1958, 0, 0, -3574, 0, -1670, 0, 0, -10170, 0, 5340, 0, 0, -162, 0, 7226, 0, 0, -790, 0, -11356, 0, 0, -8328, 0, 1200, 0, 0, -3366, 0, -13060, 0, 0, 1034, 0, 9320, 0, 0, -19380, 0, 2430, 0, 0, 2688, 0, 2112, 0, 0, -510, 0, -11040, 0, 0, 8894, 0, -198, 0, 0, -2880, 0, -21250, 0, 0, 12760, 0, 14564, 0, 0, -10880, 0, 4170, 0, 0, -852, 0, -9456, 0, 0, 17390, 0, -16558, 0, 0, -114, 0, -972, 0, 0, 2970, 0, 1410, 0, 0, -2124, 0, -9642, 0, 0, -8700, 0, 11526, 0, 0, -3204, 0, 9294, 0, 0, 32198, 0, -3520, 0, 0, 7648, 0, 474, 0, 0, 10020, 0, 1710, 0, 0, -7232, 0, -1848, 0, 0, -8366, 0, 2970, 0, 0, 7836, 0, 16656, 0, 0, 18740, 0, -24514, 0, 0, -1188, 0, 11628, 0, 0, -2754, 0, -19040, 0, 0, -1170, 0, 20792, 0, 0, 11800, 0, 1602, 0, 0, 6624, 0, -3916, 0, 0, 27720, 0, -31770, 0, 0, -11380, 0, 1728, 0, 0, 18750, 0, 13736, 0, 0, -7468, 0, -9300, 0, 0, -3264, 0, 9600, 0, 0, -2502, 0, 912, 0, 0, 3630, 0, 17550, 0, 0, 15812, 0, -10434, 0, 0, 12690, 0, 42040, 0, 0, -21540, 0, 7458, 0, 0, 45170, 0, -3366, 0, 0, -846, 0, 1664, 0, 0, 18530, 0, -1620, 0, 0, 11424, 0, 5220, 0, 0, -10170, 0, 5440, 0, 0, 9118, 0, 13710, 0, 0, -13680, 0, -28410, 0, 0, 2112, 0, 21540, 0, 0, -5340, 0, -19584, 0, 0, -19670, 0, -6012, 0, 0, -1938, 0, 35600, 0, 0, -16712, 0, -3058, 0, 0, 46780, 0, 12690, 0, 0, -1782, 0, 1292, 0, 0, 9612, 0, 4110, 0, 0, -1200, 0, -11244, 0, 0, 21630, 0, 3366, 0, 0, -25992, 0, 1216, 0, 0, -4114, 0, 2430, 0, 0, 11424, 0, 23396, 0, 0, -15040, 0, 31684, 0, 0, 34104, 0, -7080, 0, 0, -2430, 0, -12430, 0, 0, -8768, 0, -2688, 0, 0, -54180, 0, -31416, 0, 0, 19062, 0, -4644, 0, 0, -61812, 0, -33540, 0, 0, -1204, 0, -11250, 0, 0, -12120, 0, 18000, 0, 0, -7348, 0, 8416, 0, 0, -5610, 0, 2880, 0, 0, -5760, 0, -5076, 0, 0, -40, 0, -21624, 0, 0, 19712, 0, -2178, 0, 0, -19890, 0, -42830, 0, 0, -6890, 0, -26112, 0, 0, -4170, 0, -5166, 0, 0, -25224, 0, 852, 0, 0, 40320, 0, -68110, 0, 0, -16732, 0, -27102, 0, 0, 2970, 0, -8126, 0, 0, -47166, 0, -30656, 0, 0, -41072, 0, -16350, 0, 0, 972, 0, 12480, 0, 0, 4600, 0, -2970, 0, 0, 14404, 0, 6102, 0, 0, -17088, 0, -59290, 0, 0, -1254, 0, 20612, 0, 0, -50400, 0, 15504, 0, 0, 17046, 0, -2456, 0, 0, -11526, 0, 15510, 0, 0, -13750, 0, 3204, 0, 0, 17280, 0, 24742, 0, 0, -25728, 0, -22838, 0, 0, -12780, 0, 1710, 0, 0, -21360, 0, -7040, 0, 0, 72360, 0, -39882, 0, 0, -474, 0, -28068, 0, 0, -14382, 0, -20310, 0, 0, -9728, 0, 31792, 0, 0, -14680, 0, -14580, 0, 0, -2466, 0, 21058, 0, 0, -6314, 0, 53760, 0, 0, 32174, 0, -12978, 0, 0, -2970, 0, 60758, 0, 0, -48672, 0, -7836, 0, 0, 28390, 0, 3630, 0, 0, -1458, 0, -20328, 0, 0, 102740, 0, 19210, 0, 0, -56906, 0, 9024, 0, 0, -48060, 0, 136620, 0, 0, -11628, 0, 1544, 0, 0, 17280, 0, 2754, 0, 0, 7458, 0, 37300, 0, 0, -122842, 0, -31680, 0, 0, 14288, 0, 32508, 0, 0, 27720, 0, 7110, 0, 0, -13066, 0, 20834, 0, 0, 59452, 0, 54540, 0, 0, 20124, 0, -6624, 0, 0, -56700, 0, 141576, 0, 0, -12870, 0, 7272, 0, 0, -20400, 0, 56960, 0, 0, -39786, 0, 69006, 0, 0, 2090, 0, 17622, 0, 0, -1728, 0, 33780, 0, 0, 117540, 0, -18750, 0, 0, 36988, 0, 24, 0, 0, 19080, 0, -17578, 0, 0, -13360, 0, -42946, 0, 0, -158440, 0, 17550, 0, 0, 25698, 0, 4294, 0, 0, -9600, 0, 174420, 0, 0, 34072, 0, 2502, 0, 0, -4590, 0, 84980, 0, 0, -15862, 0, 12800, 0, 0, -53110, 0, -45696, 0, 0, 40866, 0, -44760, 0, 0, -35904, 0, -107450, 0, 0, 10434, 0, -1782, 0, 0, 7170, 0, -12690, 0, 0, 19224, 0, 10032, 0, 0, 99360, 0, 36240, 0, 0, 9810, 0, 3770, 0, 0, 70580, 0, -151198, 0, 0, -47406, 0, -2760, 0, 0, 3366, 0, -89820, 0, 0, -107608, 0, -31396, 0, 0, 134760, 0, 25920, 0, 0, 35574, 0, -54218, 0, 0, 111250, 0, 33880, 0, 0, 28672, 0, 30240, 0, 0, -13680, 0, -216920, 0, 0, -5220, 0, 3786, 0, 0, -247588, 0, 10170, 0, 0, -9306, 0, 68178, 0, 0, 60260, 0, 56960, 0, 0, 8888, 0, -10368, 0, 0, -37530, 0, -17820, 0, 0, 69608, 0, -82520, 0, 0, 28410, 0, 14484, 0, 0, -1026, 0], 'weight': 4, '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, -1.7677669529663689], [0.0, 0.5773502691896257], [-2.125, 0.0], [0.0, 0.0], [1.0206207261596576, 0.0], [0.0, -0.16198477414681167], [0.0, 1.988737822087165], [-0.3333333333333333, 0.0], [0.0, 0.0], [-0.30151134457776363, 0.0], [0.0, -1.2268693220279547], [0.0, 0.6827079338156666], [-0.2863513306204547, 0.0], [0.0, 0.0], [1.390625, 0.0], [0.0, -0.4708044485999405], [0.0, 0.5892556509887896], [-0.5675020785219159, 0.0], [0.0, 0.0], [0.09352195295828244, 0.0], [0.0, 0.5330017908890261], [0.0, 1.0244403821064978], [-1.1481983169296148, 0.0], [0.0, 0.0], [1.2068685239272863, 0.0], [0.0, -0.19245008972987526], [0.0, 0.3442176450619748], [0.3457775262607173, 0.0], [0.0, 0.0], [1.031282056798901, 0.0], [0.0, -0.46956309688169173], [0.0, -0.17407765595569785], [-0.8322725455445282, 0.0], [0.0, 0.0], [0.7083333333333334, 0.0], [0.0, -0.08442110158923753], [0.0, 1.0032114201507683], [-0.39416160936636835, 0.0], [0.0, 0.0], [0.5294671439638108, 0.0], [0.0, -0.16532501781652706], [0.0, -1.0923153409870288], [0.6407116072277477, 0.0], [0.0, 0.0], [1.8109718527721061, 0.0], [0.0, -0.6051845391933923], [0.0, 0.8028777180918233], [0.9737609329446064, 0.0], [0.0, 0.0], [0.271819075134849, 0.0], [0.0, -1.4507543593582914], [0.0, 0.3939397305698251], [-0.34020690871988585, 0.0], [0.0, 0.0], [0.32214524694801155, 0.0], [0.0, -0.3276474778003003], [0.0, -0.6112540840021568], [1.3791198197121173, 0.0], [0.0, 0.0], [0.6716688783365035, 0.0], [0.0, -1.823066339196283], [0.0, 0.05399492471560389], [0.560546875, 0.0], [0.0, 0.0], [-0.30772872744833185, 0.0], [0.0, -0.36468490852628427], [0.0, 1.0004594532748736], [-0.5914609303779096, 0.0], [0.0, 0.0], [-1.5829327187458861, 0.0], [0.0, -0.6629126073623883], [0.0, -0.718279917039267], [-0.1492368335224707, 0.0], [0.0, 0.0], [1.2059419168590715, 0.0], [0.0, 0.04884024705413055], [0.0, 0.6967858671659051], [1.0268207298324852, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, -0.9359745197807116], [0.0, 0.18778945684983167], [-0.1987341500363502, 0.0], [0.0, 0.0], [-1.93095896201506, 0.0], [0.0, 0.199634747866348], [0.0, -0.5996270147501543], [-0.481167576991651, 0.0], [0.0, 0.0], [0.1105882904673672, 0.0], [0.0, -2.176935811976308], [0.0, 0.5954109731032764], [-1.0698252288322592, 0.0], [0.0, 0.0], [0.271102380386159, 0.0], [0.0, -0.08269314128407826], [0.0, -1.7213823973491755], [0.10050378152592121, 0.0], [0.0, 0.0], [-0.5369260085786575, 0.0], [0.0, -0.4805127782092684], [0.0, -1.2493592594976377], [-1.3577270894181972, 0.0], [0.0, 0.0], [0.696393637161812, 0.0], [0.0, -1.7509675848322392], [0.0, 0.4089564406759849], [0.5061540736581497, 0.0], [0.0, 0.0], [0.04874054572783103, 0.0], [0.0, -0.22526007654790997], [0.0, -0.9190759634473376], [-0.5792043834781528, 0.0], [0.0, 0.0], [-0.7347772433040242, 0.0], [0.0, -0.22756931127188887], [0.0, -2.4379624414680174], [-0.07626315227377556, 0.0], [0.0, 0.0], [0.09090909090909091, 0.0], [0.0, -1.1873540464592593], [0.0, 0.3056879980945685], [-2.191474370697665, 0.0], [0.0, 0.0], [0.09545044354015157, 0.0], [0.0, 1.2150495825784424], [0.0, -1.4604793380952616], [0.6306485561588189, 0.0], [0.0, 0.0], [1.2125144847402802, 0.0], [0.0, 0.36991501890585793], [0.0, 0.09192669601721874], [-0.6446779295383285, 0.0], [0.0, 0.0], [0.9363066137375942, 0.0], [0.0, -0.5425482935865562], [0.0, 1.0455650866928108], [0.38809220091831764, 0.0], [0.0, 0.0], [0.34940345661270467, 0.0], [0.0, 2.798256148968185], [0.0, -0.2058441870786685], [-0.4635416666666667, 0.0], [0.0, 0.0], [-1.2697515003214412, 0.0], [0.0, 0.5622011367619096], [0.0, 0.17939484087712976], [0.13140699933157762, 0.0], [0.0, 0.0], [0.6510307670169275, 0.0], [0.0, -1.1286128476696144], [0.0, 0.15693481619998015], [0.08633817471700503, 0.0], [0.0, 0.0], [0.8375934199035326, 0.0], [0.0, 0.9526209054091235], [0.0, -1.8151797528186753], [-0.22744120948897717, 0.0], [0.0, 0.0], [0.16594374392239447, 0.0], [0.0, -0.19641855032959654], [0.0, 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0.09335058831110234, 0.07182552921066207, -0.32037738241725716, 0.11691115933122648, -0.4006958707301912, -0.47049475718867617, -0.2445435647599309, -0.31993373332238256, -0.44950039683079496, -0.49632071900391583, -0.327795273306674, -0.41028293033456176, -0.4976223068033928, 0.03963828953365801, -0.15476185341847792, -0.4077686470049895, -0.34009195215051863, -0.36499432402893245, 0.00048028791452299637], 'char_orbit_index': 3, 'conrey_index': 199, 'dual_conrey_index': 199, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503737133433657, 'label': '825.4.c.b.199.1', 'level': 825, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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': 13200, 'analytic_conductor': 48.67657575473601, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [825, 2, [551, 727, 376], [2, 1, 2]], 'conrey_index': 199, 'cusp_dim': 348, 'dim': 92, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 137506063161, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 6, 6, 6, 6, 6, 8, 8, 10, 10], 'label': '825.4.c', 'level': 825, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 11], 'level_radical': 165, 'mf_dim': 372, 'mf_new_dim': 92, 'num_forms': 19, 'prim_orbit_index': 2, 'relative_dim': 92, 'sturm_bound': 480, 'trace_bound': 14, 'trace_display': [0, 0, 0, 0], 'traces': [92, 0, 0, -360, 0, 24, 0, 0, -828, 0, 0, 0, 0, 472, 0, 1624, 0, 0, -24, 0, 48, 0, 0, -648, 0, 512, 0, 0, 976, 0, 848, 0, 0, -1712, 0, 3240, 0, 0, 168, 0, -1984, 0, 0, -1232, 0, 1848, 0, 0, -5516, 0, 1488, 0, 0, -216, 0, 264, 0, 0, 2624, 0, -5216, 0, 0, -4888, 0, 528, 0, 0, -48, 0, -1152, 0, 0, 9904, 0, 152, 0, 0, -1024, 0, 7452, 0, 0, 3744, 0, 2616, 0, 0, 4768, 0, 3064, 0, 0, -4088, 0, 2808, 0, 0, 0, 0, 8880, 0, 0, -9872, 0, -3216, 0, 0, -6112, 0, 3024, 0, 0, -2832, 0, -7584, 0, 0, -6448, 0, 11132, 0, 0, -14824, 0, -4248, 0, 0, 2784, 0, -14976, 0, 0, -3824, 0, 11792, 0, 0, 5328, 0, 3984, 0, 0, -14616, 0, 21568, 0, 0, 8496, 0, -5768, 0, 0, -1936, 0, -7104, 0, 0, -10200, 0, 17696, 0, 0, 1632, 0, 728, 0, 0, -3652, 0, 216, 0, 0, 1296, 0, 9856, 0, 0, -8144, 0, 2136, 0, 0, 6312, 0, -8400, 0, 0, -432, 0, -272, 0, 0, -34976, 0, 41016, 0, 0, -34016, 0, -1272, 0, 0, 4536, 0, 13280, 0, 0, 1408, 0, 3592, 0, 0, -9768, 0, 5832, 0, 0, 13776, 0, -6400, 0, 0, 4200, 0, -51168, 0, 0, 488, 0, 5544, 0, 0, -4608, 0, -57184, 0, 0, -1664, 0, -38432, 0, 0, 44400, 0, 4896, 0, 0, 9984, 0, 4944, 0, 0, -760, 0, 5752, 0, 0, 29520, 0, -8784, 0, 0, -6336, 0, -9520, 0, 0, 43680, 0, 29616, 0, 0, 68576, 0, -3192, 0, 0, -7632, 0, -46320, 0, 0, 17920, 0, 22880, 0, 0, 16596, 0, -4968, 0, 0, 1632, 0, -124736, 0, 0, -1824, 0, 35464, 0, 0, -5000, 0, 15408, 0, 0, -21072, 0, 41088, 0, 0, 50800, 0, -6344, 0, 0, -9592, 0, 9024, 0, 0, -29160, 0, 51152, 0, 0, 6160, 0, 26416, 0, 0, 45072, 0, -65040, 0, 0, -12432, 0, 9152, 0, 0, -48360, 0, -1032, 0, 0, 36232, 0, -1512, 0, 0, 21264, 0, -80344, 0, 0, -18080, 0, 20596, 0, 0, 21488, 0, -48840, 0, 0, 17856, 0, 20672, 0, 0, -16192, 0, -16264, 0, 0, -67464, 0, 5256, 0, 0, 2376, 0, 79360, 0, 0, 9616, 0, -90176, 0, 0, -19896, 0, 11088, 0, 0, 39912, 0, 17888, 0, 0, 55936, 0, -128208, 0, 0, -69072, 0, 50736, 0, 0, -16632, 0, 75888, 0, 0, -44800, 0, 39472, 0, 0, 145872, 0, -54912, 0, 0, -6864, 0, 3808, 0, 0, 218320, 0, 47392, 0, 0, -48056, 0, 49644, 0, 0, -7776, 0, -182944, 0, 0, -22912, 0, 32384, 0, 0, -52552, 0, 105216, 0, 0, -13392, 0, -133760, 0, 0, -26112, 0, -107520, 0, 0, -4280, 0, 42360, 0, 0, 47784, 0, 150464, 0, 0, -12112, 0, -33984, 0, 0, -43560, 0, 1944, 0, 0, -41928, 0, 120656, 0, 0, -86752, 0, 242776, 0, 0, -92776, 0, -36480, 0, 0, -2376, 0, -704, 0, 0, 18928, 0, -38832, 0, 0, 177952, 0, -77472, 0, 0, 16080, 0, 37584, 0, 0, 11088, 0, 41856, 0, 0, -60204, 0, -23616, 0, 0, 96384, 0, -97504, 0, 0, -31328, 0, -120896, 0, 0, -53072, 0, -24672, 0, 0, 46944, 0, 208584, 0, 0, 125800, 0, -357120, 0, 0, -3872, 0, 17424, 0, 0, -40728, 0, -258432, 0, 0, -80080, 0, -10104, 0, 0, 89624, 0, 43992, 0, 0, 19752, 0, -4336, 0, 0, -38112, 0, 24912, 0, 0, -8008, 0, -83760, 0, 0, -4752, 0, -148000, 0, 0, 17112, 0, -30320, 0, 0, -80496, 0, -23376, 0, 0, 35040, 0, 111440, 0, 0, 169168, 0, -4928, 0, 0, -35320, 0, 432, 0, 0, 102144, 0, 86176, 0, 0, 84480, 0, -31512, 0, 0, -59216, 0, 84504, 0, 0, 10368, 0, 290320, 0, 0, -358512, 0, -113720, 0, 0, -46552, 0, 12072, 0, 0, -39192, 0, 72112, 0, 0, -59520, 0, 143360, 0, 0, 122856, 0, -89136, 0, 0, 3720, 0, 4488, 0, 0, -370192, 0, -52000, 0, 0, -114424, 0, 28320, 0, 0, -1368, 0, 6944, 0, 0, 40704, 0, 82992, 0, 0, 91216, 0, 78768, 0, 0, 126144, 0, 38336, 0, 0, -13552, 0, 252608, 0, 0, 94040, 0, 9216, 0, 0, -140112, 0, 334928, 0, 0, -141480, 0, -336, 0, 0, -302672, 0, 2904, 0, 0, -67068, 0, -46112, 0, 0, 85904, 0, 132152, 0, 0, 52000, 0, -97560, 0, 0, 126144, 0, -117864, 0, 0, -297280, 0, -65224, 0, 0, 203968, 0, -33696, 0, 0, -36432, 0, -367136, 0, 0, 253776, 0, 39152, 0, 0, 80032, 0, -59328, 0, 0, -23544, 0, 517312, 0, 0, -88000, 0, 26840, 0, 0, -584632, 0, 118560, 0, 0, -99744, 0, 334192, 0, 0, 313120, 0, 119256, 0, 0, 235168, 0, -42912, 0, 0, 95616, 0, -36280, 0, 0, -258896, 0, 65368, 0, 0, 71016, 0, 72024, 0, 0, -27576, 0, 113584, 0, 0, -535200, 0, 61392, 0, 0, 129592, 0, -61752, 0, 0, -330576, 0, -110088, 0, 0, -221624, 0, 23676, 0, 0, 178032, 0, 36792, 0, 0, 90432, 0, 231120, 0, 0, -245584, 0, -12952, 0, 0, -108688, 0, -23448, 0, 0, -25272, 0, 318720, 0, 0, 41536, 0, 78024, 0, 0, 29528, 0, -132480, 0, 0, 103776, 0, -211984, 0, 0, 646464, 0, 355896, 0, 0, 176696, 0, 0, 0, 0, 12912, 0, -977528, 0, 0, -109360, 0, 24400, 0, 0, 37664, 0, -66456, 0, 0, -79920, 0, -425960, 0, 0, -185520, 0, 82576, 0, 0, -277816, 0, -61008, 0, 0, -44352, 0, -74240, 0, 0, 247424, 0, -77632, 0, 0, -233504, 0, 88848, 0, 0, -122904, 0, 207232, 0, 0, 767088, 0, -42416, 0, 0, 113072, 0, 75912, 0, 0, 28944, 0, 600352, 0, 0, 191584, 0, 130348, 0, 0, 106096, 0, 5328, 0, 0, 117912, 0, 213488, 0, 0, -137776, 0, -538848, 0, 0, -65824, 0, 55008, 0, 0, -186192, 0, -349792, 0, 0, -21552, 0, -225560, 0, 0, 269872, 0, 159840, 0, 0, -27216, 0], 'weight': 4, '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: 34793736
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737133433657, 'source_is_minimal': False, 'source_label': '825.4.c.b.199.1', 'source_level': 825, 'target_conrey_index': 199, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737133433657, 'target_is_minimal': False, 'target_label': '825.4.c.b.199.1', 'target_level': 825, 'twist_class_label': '825.4.a.a.1.1', 'twist_class_level': 825, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 34793737
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 199, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737133433657, 'source_is_minimal': False, 'source_label': '825.4.c.b.199.1', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713444153, 'target_is_minimal': True, 'target_label': '825.4.a.j.1.1', 'target_level': 825, 'twist_class_label': '825.4.a.a.1.1', 'twist_class_level': 825, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 34793738
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 199, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737133433657, 'source_is_minimal': False, 'source_label': '825.4.c.b.199.1', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109689, 'target_is_minimal': True, 'target_label': '825.4.a.a.1.1', 'target_level': 825, 'twist_class_label': '825.4.a.a.1.1', 'twist_class_level': 825, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 34793739
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737133433657, 'source_is_minimal': False, 'source_label': '825.4.c.b.199.1', 'source_level': 825, 'target_conrey_index': 199, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737133433657, 'target_is_minimal': False, 'target_label': '825.4.c.b.199.2', 'target_level': 825, 'twist_class_label': '825.4.a.a.1.1', 'twist_class_level': 825, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 34793740
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737133433657, 'source_is_minimal': False, 'source_label': '825.4.c.b.199.1', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67111339, 'target_is_minimal': False, 'target_label': '2475.4.a.a.1.1', 'target_level': 2475, 'twist_class_label': '825.4.a.a.1.1', 'twist_class_level': 825, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 34793741
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 199, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503737133433657, 'source_is_minimal': False, 'source_label': '825.4.c.b.199.1', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996340816299, 'target_is_minimal': False, 'target_label': '2475.4.a.k.1.1', 'target_level': 2475, 'twist_class_label': '825.4.a.a.1.1', 'twist_class_level': 825, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1378100
    {'charpoly_factorization': [[[25, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 2}
  • id: 1378101
    {'charpoly_factorization': [[[9, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 3}
  • id: 1378102
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 5}
  • id: 1378103
    {'charpoly_factorization': [[[9, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 7}
  • id: 1378104
    {'charpoly_factorization': [[[11, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 11}
  • id: 1378105
    {'charpoly_factorization': [[[1024, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 13}
  • id: 1378106
    {'charpoly_factorization': [[[1089, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 17}
  • id: 1378107
    {'charpoly_factorization': [[[47, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 19}
  • id: 1378108
    {'charpoly_factorization': [[[12769, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 23}
  • id: 1378109
    {'charpoly_factorization': [[[-54, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 29}
  • id: 1378110
    {'charpoly_factorization': [[[-178, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 31}
  • id: 1378111
    {'charpoly_factorization': [[[361, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 37}
  • id: 1378112
    {'charpoly_factorization': [[[-139, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 41}
  • id: 1378113
    {'charpoly_factorization': [[[94864, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 43}
  • id: 1378114
    {'charpoly_factorization': [[[38025, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 47}
  • id: 1378115
    {'charpoly_factorization': [[[23104, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 53}
  • id: 1378116
    {'charpoly_factorization': [[[-625, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 59}
  • id: 1378117
    {'charpoly_factorization': [[[-320, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 61}
  • id: 1378118
    {'charpoly_factorization': [[[40000, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 67}
  • id: 1378119
    {'charpoly_factorization': [[[947, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 71}
  • id: 1378120
    {'charpoly_factorization': [[[200704, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 73}
  • id: 1378121
    {'charpoly_factorization': [[[-721, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 79}
  • id: 1378122
    {'charpoly_factorization': [[[20164, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, 'p': 83}
  • id: 1378123
    {'charpoly_factorization': [[[404, 1], 2]], 'hecke_orbit_code': 4503737133433657, 'p': 89}
  • id: 1378124
    {'charpoly_factorization': [[[6241, 0, 1], 1]], 'hecke_orbit_code': 4503737133433657, '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': 3, 'hecke_orbit': 2, 'label': '825.4.c.b', 'level': 825, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 82109000
    {'hecke_orbit_code': 4503737133433657, 'n': 1, 'trace_an': 2}
  • id: 82109001
    {'hecke_orbit_code': 4503737133433657, 'n': 2, 'trace_an': 0}
  • id: 82109002
    {'hecke_orbit_code': 4503737133433657, 'n': 3, 'trace_an': 0}
  • id: 82109003
    {'hecke_orbit_code': 4503737133433657, 'n': 4, 'trace_an': -34}
  • id: 82109004
    {'hecke_orbit_code': 4503737133433657, 'n': 5, 'trace_an': 0}
  • id: 82109005
    {'hecke_orbit_code': 4503737133433657, 'n': 6, 'trace_an': 30}
  • id: 82109006
    {'hecke_orbit_code': 4503737133433657, 'n': 7, 'trace_an': 0}
  • id: 82109007
    {'hecke_orbit_code': 4503737133433657, 'n': 8, 'trace_an': 0}
  • id: 82109008
    {'hecke_orbit_code': 4503737133433657, 'n': 9, 'trace_an': -18}
  • id: 82109009
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  • id: 82109010
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  • id: 82109011
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  • id: 82109012
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  • id: 82109013
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  • id: 82109014
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  • id: 82109015
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  • id: 82109016
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  • id: 82109017
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  • id: 82109018
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  • id: 82109019
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  • id: 82109020
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  • id: 82109021
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  • id: 82109022
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  • id: 82109023
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  • id: 82109024
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  • id: 82109025
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  • id: 82109026
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  • id: 82109027
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  • id: 82109028
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  • id: 82109029
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  • id: 82109030
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  • id: 82109031
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  • id: 82109032
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  • id: 82109033
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  • id: 82109034
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  • id: 82109035
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  • id: 82109036
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  • id: 82109037
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  • id: 82109038
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  • id: 82109039
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  • id: 82109040
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  • id: 82109041
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  • id: 82109042
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  • id: 82109043
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  • id: 82109044
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  • id: 82109045
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  • id: 82109046
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  • id: 82109047
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  • id: 82109048
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  • id: 82109049
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  • id: 82109050
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  • id: 82109051
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  • id: 82109052
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  • id: 82109053
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  • id: 82109054
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  • id: 82109055
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  • id: 82109056
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  • id: 82109057
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  • id: 82109058
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  • id: 82109059
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  • id: 82109060
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  • id: 82109061
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  • id: 82109062
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  • id: 82109063
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  • id: 82109064
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  • id: 82109065
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  • id: 82109066
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  • id: 82109067
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  • id: 82109068
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  • id: 82109069
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  • id: 82109070
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  • id: 82109071
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  • id: 82109072
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  • id: 82109073
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  • id: 82109074
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  • id: 82109075
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  • id: 82109076
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  • id: 82109077
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  • id: 82109078
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  • id: 82109079
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  • id: 82109080
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  • id: 82109081
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  • id: 82109082
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  • id: 82109083
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  • id: 82109084
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  • id: 82109085
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  • id: 82109086
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  • id: 82109087
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  • id: 82109088
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  • id: 82109089
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  • id: 82109090
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  • id: 82109091
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  • id: 82109092
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  • id: 82109093
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  • id: 82109094
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  • id: 82109095
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  • id: 82109096
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  • id: 82109097
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  • id: 82109098
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  • id: 82109099
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  • id: 82109100
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  • id: 82109101
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  • id: 82109102
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  • id: 82109103
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  • id: 82109104
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  • id: 82109105
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  • id: 82109106
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  • id: 82109107
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  • id: 82109108
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  • id: 82109109
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  • id: 82109110
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  • id: 82109111
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  • id: 82109112
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  • id: 82109113
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  • id: 82109114
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  • id: 82109115
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  • id: 82109116
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  • id: 82109117
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  • id: 82109118
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  • id: 82109119
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  • id: 82109120
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  • id: 82109121
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  • id: 82109122
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  • id: 82109123
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  • id: 82109124
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  • id: 82109125
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  • id: 82109126
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  • id: 82109127
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  • id: 82109128
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  • id: 82109129
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  • id: 82109130
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  • id: 82109131
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  • id: 82109132
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  • id: 82109133
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  • id: 82109134
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  • id: 82109135
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  • id: 82109136
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  • id: 82109137
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  • id: 82109138
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  • id: 82109139
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  • id: 82109140
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  • id: 82109141
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  • id: 82109142
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  • id: 82109143
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  • id: 82109144
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  • id: 82109145
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  • id: 82109146
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  • id: 82109147
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  • id: 82109148
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  • id: 82109149
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  • id: 82109150
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  • id: 82109151
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  • id: 82109152
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  • id: 82109153
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  • id: 82109154
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  • id: 82109155
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  • id: 82109156
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  • id: 82109157
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  • id: 82109158
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  • id: 82109159
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  • id: 82109160
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  • id: 82109161
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  • id: 82109162
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  • id: 82109163
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  • id: 82109164
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  • id: 82109165
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  • id: 82109166
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  • id: 82109167
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  • id: 82109168
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  • id: 82109169
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  • id: 82109170
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  • id: 82109171
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  • id: 82109172
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  • id: 82109173
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  • id: 82109174
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  • id: 82109175
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  • id: 82109176
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  • id: 82109177
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  • id: 82109178
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  • id: 82109179
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  • id: 82109180
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  • id: 82109181
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  • id: 82109182
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  • id: 82109183
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  • id: 82109184
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  • id: 82109185
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  • id: 82109186
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  • id: 82109187
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  • id: 82109188
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  • id: 82109189
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  • id: 82109190
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  • id: 82109191
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  • id: 82109192
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  • id: 82109193
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  • id: 82109194
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  • id: 82109195
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  • id: 82109196
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  • id: 82109197
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  • id: 82109198
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  • id: 82109199
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  • id: 82109200
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  • id: 82109201
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  • id: 82109202
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  • id: 82109203
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  • id: 82109204
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  • id: 82109205
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  • id: 82109206
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  • id: 82109207
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  • id: 82109208
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  • id: 82109209
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  • id: 82109215
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  • id: 82109219
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  • id: 82109220
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  • id: 82109310
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  • id: 82109313
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  • id: 82109319
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  • id: 82109320
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    {'hecke_orbit_code': 4503737133433657, 'n': 991, 'trace_an': -82520}
  • id: 82109991
    {'hecke_orbit_code': 4503737133433657, 'n': 992, 'trace_an': 0}
  • id: 82109992
    {'hecke_orbit_code': 4503737133433657, 'n': 993, 'trace_an': 0}
  • id: 82109993
    {'hecke_orbit_code': 4503737133433657, 'n': 994, 'trace_an': 28410}
  • id: 82109994
    {'hecke_orbit_code': 4503737133433657, 'n': 995, 'trace_an': 0}
  • id: 82109995
    {'hecke_orbit_code': 4503737133433657, 'n': 996, 'trace_an': 14484}
  • id: 82109996
    {'hecke_orbit_code': 4503737133433657, 'n': 997, 'trace_an': 0}
  • id: 82109997
    {'hecke_orbit_code': 4503737133433657, 'n': 998, 'trace_an': 0}
  • id: 82109998
    {'hecke_orbit_code': 4503737133433657, 'n': 999, 'trace_an': -1026}
  • id: 82109999
    {'hecke_orbit_code': 4503737133433657, 'n': 1000, 'trace_an': 0}