Embedded newform data - 340.2.bf.a.11.8

Formats: - HTML - YAML - JSON - 2026-06-15T06:08:18.998330

• 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': 1360, 'analytic_conductor': 2.714913668723533, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 68, 'char_degree': 8, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 16, 'char_parity': 1, 'char_values': [340, 16, [171, 137, 241], [8, 16, 7]], 'cm_discs': [], 'conrey_index': 11, 'dim': 288, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 2130337333588, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0], [1, 1, 17, 5, -1, 16, 0], [1, 1, 68, 9, 1, 16, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '340.2.bf.a', 'level': 340, '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, 5, 17], 'level_radical': 170, 'minimal_twist': '340.2.bf.a', 'prim_orbit_index': 9, 'related_objects': [], 'relative_dim': 36, 'rm_discs': [], 'sato_tate_group': '1.2.3.c16', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '340.2.bf', 'trace_display': [0, 0, 0, 0], 'traces': [288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -32, 0, -96, 0, 0, 0, -80, 0, -64, 0, -64, 0, -80, 0, 0, 0, -96, 0, -32, 0, -16, 0, 0, 0, 0, 0, 0, 0, 80, 0, 80, -160, 0, 0, 0, -64, 112, 0, 96, 0, 208, 0, 0, -128, 0, 0, 208, 0, 96, 0, 112, -64, 0, 0, 0, -160, 80, 0, 0, 0, 0, 0, -128, 0, 0, 0, -224, 0, -192, 0, 0, 0, -272, 0, 0, 0, -256, 0, -256, 0, 0, 0, -272, 0, 0, 0, -192, 0, -208, 0, 80, 0, 0, 0, 96, 96, -80, 0, 16, 0, 240, 0, 112, 64, 160, 0, 0, 128, 112, 0, 192, 0, 192, 0, 112, 128, 0, 0, 160, 64, 80, 0, 240, 0, 16, 0, 0, 96, 96, 0, -32, 0, 80, 0, 16, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, -32, 96, 0, 0, -128, 224, 0, 16, 0, 0, 0, 288, -192, 0, 0, 368, -128, 192, 0, 112, -640, 352, 0, 0, -32, 224, 0, 240, 0, 240, 0, 224, -32, 0, 0, 240, -640, -48, 0, -48, -128, 368, 0, 0, -192, 32, 0, -48, 0, -368, 0, 224, -128, 0, 0, -160, -32, -400, 0, -256, 0, 0, 0, 0, 0, -176, 0, -304, 0, -256, 0, 112, 416, 0, 0, -16, 192, 0, 0, -256, 320, 336, 0, 0, 0, -64, 0, 288, 0, -112, 0, 304, 192, 0, 0, 144, 640, 80, 0, -208, 192, 32, 0, -160, 0, 480, 0, -16, 0, -384, 0, 0, 320, -224, 0, 208, 192, 80, 0, -368, 416, -288, 0, -80, 0, 96, 0, -128, 0, -496, 0, -560, 0, -208, 0, 0, 0, -80, 0, -256, 0, -368, 0, -288, -256, 0, 0, -224, 0, -192, 0, -384, 0, -192, 0, 0, 0, -160, 0, -48, 0, -288, 0, -64, -64, -256, 0, -112, 0, 128, 0, -352, 0, 0, 0, -176, 0, -288, 0, 0, 0, -288, 0, 0, -256, -240, 0, -32, 0, -128, 0, -368, 32, 0, 0, -384, 0, 96, 0, 96, 192, -592, 0, 0, 192, -112, 0, 208, 0, 336, 0, -240, 256, 0, 0, 256, 0, 240, 0, 224, 128, -176, 0, 0, 288, 80, 0, 240, 0, 336, 0, -448, 128, 0, 0, 144, 0, 32, 0, 528, 288, -400, 0, 0, 128, 272, 0, 0, 0, 544, 0, -304, 256, 0, 0, -144, 0, 224, 0, 368, 192, -112, 0, 112, 0, -320, 0, -16, -256, 464, 0, -80, -32, 80, 0, -288, -576, -480, 0, 512, 0, 0, 0, 192, -640, -384, 0, -32, -192, 256, 0, 320, -192, 224, 0, -400, -192, 160, 0, 112, 0, 160, 0, 384, -192, -96, 0, 128, -192, 448, 0, 272, -192, 208, 0, 0, -640, 192, 0, 96, 0, 512, 0, 32, -448, 192, 0, 240, -64, -16, 0, 480, 0, 240, 0, 144, 288, 320, 0, 80, 768, 480, 0, 32, 0, 512, 0, 208, 0, 0, 0, 320, 320, 0, 0, 480, 640, 0, 0, -256, 640, 448, 0, 0, 512, 32, 0, -48, 0, -704, 0, 288, 512, 0, 0, -80, 640, -160, 0, -64, 640, 560, 0, 0, 320, -256, 0, -272, 0, 0, 0, 752, -416, 0, 0, 368, 576, 160, 0, -352, 0, 704, 0, 0, 256, 256, 0, 64, 0, -192, 0, 912, -192, 0, 0, 352, -928, 0, 0, -576, -256, 352, 0, -16, 0, 496, 0, 192, 0, -784, 0, 224, -960, -208, 0, 32, -384, 288, 0, -704, -960, 144, 0, -224, 0, 512, 0, 320, 0, -288, 0, 0, -256, -384, 0, 560, -928, 240, 0, -352, -320, 384, 0, -240, 64, 432, 0, 512, 0, -512, 0, -112, -480, -80, 0, 400, -192, 112, 0, -208, -416, -304, 0, -320, 128, 0, 0, -480, 0, -192, 0, -576, 0, -224, 0, -480, 0, -304, 0, -384, 0, -1040, 0, -160, 192, -512, 0, -592, 0, -496, 0, -704, 0, -144, 0, -768, 0, -336, 0, 0, -96, -704, 0, 0, -64, -432, 0, -320, 0, 528, 0, -832, -768, 0, 0, -64, 0, 32, 0, 32, -384, -512, 0, 0, -192, -480, 0, 624, 0, 240, 0, -896, -288, 0, 0, -544, 0, -320, 0, 96, -256, -1136, 0, 0, -1024, -48, 0, -144, 0, -64, 0, -864, -384, 0, 0, -560, 0, 16, 0, 688, -1024, -816, 0, 16, -96, -768, 0, 0, 192, 608, 0, -688, -32, 288, 0, 224, 576, 288, 0, 880, -256, 64, 0, 384, 0, -32, 0, 224, 576, 1008, 0, 208, -384, 240, 0, -208, 640, 352, 0, 784, -192, 0, 0, 0, 1184, -208, 0, -432, 384, 864, 0, 208, 160, 400, 0, -464, 768, 32, 0, 672, 0, 416, 0, 320, 768, -432, 0, 32, 160, 576, 0, 752, 384, 384, 0, 0, 960, -64, 0, 1008, -256, 576, 0, 496, 640, 288, 0, 464, 384, 880, 0, 848, 0, 96, 0, 592, 192, 464, 0, 544, -576, 1360, 0, 272, 320, 80, 0, 304, 256, 0, 0, 768, 64, 160, 0, -192, -800, -192, 0, -304, -256, 448, 0, 0, -512, 480, 0, -368, 0, -544, 0, 1040, -512, 0, 0, -224, -192, 0, 0, -624, -832, 704, 0, 0, -128, 64, 0, -352, 0, -464, 0, 592, 64, 0, 0, 560, -320, -176, 0, -688, 0, 1264, 0, 0, -576, 32, 0, 256, 0, -608, 0, 720, 192, -192, 0, -272, 0, 0, 0, -1056, 64, 368, 0, -208, 0, 0, 0, -208, 0, -1120, 0, 240, 384, -80, 0, 48, 256, -352, 0, -880, 384, 448, 0, -400, -64, -224, 0, -144, 0, -1056, 0, 0, 384, -160, 0, 480, 256, -48, 0, -480, 192, -432, 0, -256, -384, 704, 0, -16, 0, 48, 0, 240, 192, -528, 0, 368, 256, 32, 0, -704, 320, -368, 0, 0], 'weight': 2, '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], [-0.8174611685484902, 0.5759837132379152], [-0.10265324493721197, 0.020418999969664724], [0.3364855241693261, -0.9416886385767292], [0.37184451486677733, 0.24845856146144576], [0.0721540301385353, -0.07581833677065028], [-0.8157184487052992, -1.220808931044904], [0.26733346897427307, 0.9636040765616246], [-0.9137587793749087, 0.3784912791545719], [-0.44707653645765655, 0.011071158431967246], [0.3095780799005027, -1.5563541069802882], [-0.015312990647848138, 0.10353809237821275], [-0.7466886587199805, 0.7466886587199805], [1.3699842175424493, 0.5281233543044502], [-0.04324432142212225, -0.017912384428664403], [-0.7735549840489877, -0.6337291903115797], [-0.7940400578763659, -0.6078654345228863], [0.5289575071636362, -0.835712098091214], [-0.38101519305667675, 0.9198520465476321], [0.35909090097979784, -0.2665590456794086], [0.10866384324071997, 0.10866384324071997], [0.6433665586991232, 1.450570978965504], [-1.0633160878997778, -0.2115067203170213], [-0.047118479680611225, -0.09345840319890035], [0.07653668647301795, 0.18477590650225736], [0.18030847721696722, -1.0404694897813127], [0.1730971093246288, -0.11565979073629845], [-1.42409935002518, 0.3573682623499756], [0.9766873478613968, -1.4617159131318394], [0.04566779521898169, -0.010265346122622112], [-0.24581477984000683, -1.235794350437887], [0.9973688534201153, 0.07249393234916021], [0.0, 0.16608607415698054], [0.9992175037113957, 0.039552247430036054], [0.0, -0.656623337032302], [0.048954335537943885, 0.9878330973969366], [-0.04568284283724601, -0.2296631599082653], [-0.21835467244916124, -0.9714018745593933], [0.06140337807566815, -0.09189664947517269], [-0.14000919860249486, 0.4247321795045522], [0.6099968865367974, -0.4075868887811704], [-0.1514170761990215, -0.026239868350036277], [-0.04498514256244389, -0.1086037412795392], [-1.3614324376589149, -0.815216788075048], [-0.43381558876636894, -0.08629128576771862], [0.9910440378939325, -0.4395542179079165], [0.7126155579102699, 0.7126155579102699], [0.09234804556772962, 0.04925913860108532], [-0.44229442619573134, 1.0677932022837604], [-0.1689936819051347, -0.10696324357528686], [0.0939227928402236, 0.04618585542125254], [0.4518983017500187, 0.954398151191386], [-0.9400801664094934, -0.3893939546447683], [-0.0748820095202634, 0.19424850346891742], [0.5018044134789263, -0.5018044134789263], [0.9583076200590085, -1.1123927089899592], [0.020329987027094005, -0.10220574665571586], [0.04352057865532371, 1.7574520037283754], [0.04382469677074308, -0.018152783769330164], [-0.03141897706736161, 0.034695428102571174], [0.72806044951299, 1.089619464309967], [0.9127414559381535, 0.8686285841335698], [1.2074354279170596, 0.8067825596011267], [-0.8570656327323628, 0.5152072410099403], [-0.46317327206339853, 0.09213089205311302], [-0.0956628737100454, -0.1357689162599965], [-0.19658361851180603, 0.0], [-0.8396029585596798, 0.5432005817171338], [0.11347160253259103, 0.0], [0.3782043478625364, 0.5367640803866347], [-1.8289154396354494, 0.36379389983509525], [-0.6089940438323612, -0.7793182981667345], [0.2626118782547031, 0.1754716471136563], [0.1696261897262679, 0.16142814162248825], [-0.011629678452461673, -0.017405043789900806], [0.738008124453305, 0.668314576467399], [-2.152539544759555, 0.8916110729838155], [0.002736096204272656, 0.1104892881750406], [0.011338737342338878, -0.05700368203198232], [-0.13018673478553164, -0.427845081876468], [0.6839533693919612, -0.6839533693919612], [-0.26388535801204344, 0.6845347261591309], [-0.26094954521446695, -0.10808884072292341], [0.13889131685497585, -0.06576369635276157], [-0.1442300686821321, -0.42331747812717047], [0.09932759338013465, 0.0628686318014566], [-0.07041334836119442, 0.16999286058569693], [1.5824697440778288, -0.11775484256515265], [1.0857929812492129, 1.0857929812492129], [0.4043297733240719, -0.17933093837891464], [1.5206518976321954, 0.30247646891838936], [-0.5569639466997988, 0.9301437295398675], [0.05046736960820611, 0.12183900816542693], [-0.9929905018514293, -0.17208059153889763], [-0.370223525861623, 0.2473754512358996], [-0.10386340280531972, 0.012923537193829857], [-0.3112976323509741, 0.46588983048059057], [-0.25347297514115824, -1.1276338648516675], [0.30618676835732955, 1.5393048325291918], [0.19975485890194855, -0.009899310332675793]], 'angles': [None, -0.28958272997880646, None, -0.46254578406388597, -0.322898599009875, -0.4635268168034726, None, 0.14543305373390997, -0.30993035019896564, -0.23535718212299928, -0.4227769257604864, -0.04992689931257781, -0.28397350064468596, -0.07185987280136909, -0.040949869720399705, -0.2724493972012914, -0.3087248480585107, 0.019965639137338686, -0.26566892703274203, -0.47238277033646486, -0.13101054402310572, -0.46412427030440684, -0.2100520298518016, 0.01431721735755002, -0.4514438392676571, -0.42406808171982147, 0.02252734322563379, -0.3305884368393943, -0.4083791365422276, -0.17620377920323582, -0.20676685197500824, -0.11046342439631847, -0.13085261375681798, -0.39214614885145505, -0.2367860659490756, -0.25109841566048485, -0.12420042494637178, -0.35991165162833316, -0.39190541563527825, -0.40037746924281514, -0.07876266623032761, -0.3328025387319, -0.4474693622557216, 0.07321549501261522, -0.44629729362856324, -0.09422203417688779, -0.0489116883940509, -0.40956793320175094, -0.16339227443667925, -0.4367868624663154, -0.3542059373376751, 0.005130091260027084, -0.0036488676609296783, -0.04765053692399571, -0.20007149591297513, -0.22761842642639843, -0.30876326725919023, -0.21151727594866052, -0.2221377950080219, -0.22073557021494808, -0.45786943362736116, -0.14667703778404204, -0.3650170375747858, -0.35598091303062207, -0.3074760836493208, -0.23360667643431718, -0.4392264890407266, -0.20040139678896926, -0.014838661666930734, -0.290732427382369, -0.4885399956252399, 0.1466140554442244, -0.41525362808835065, -0.41877463855622177, -0.31183565034084104, -0.09775514202615132, 0.1934821802892137, -0.4038720562495654, -0.38631374636112353, -0.2005142115894485, -0.3863436377251519, -0.31837063788216485, -0.2624288743268386, -0.0998790319023165, -0.42704391922160556, -0.3823035344181631, -0.44221048272243385, -0.47736974042703817, -0.11820326689241725, -0.49187915501201507, -0.24832049988754243, -0.33896544377230187, -0.3993222001521205, -0.21714513106774572, -0.24747587229429413, -0.299149031804063, -0.43268097148314244, -0.19745353986204298, -0.12489867165899775, -0.26503810426320507], 'char_orbit_index': 32, 'conrey_index': 11, 'dual_conrey_index': 31, 'dual_embedding_index': 8, 'dual_embedding_m': 44, 'embedding_index': 8, 'embedding_m': 8, 'hecke_orbit': 1, 'hecke_orbit_code': 2130337333588, 'label': '340.2.bf.a.11.8', 'level': 340, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': 1360, 'analytic_conductor': 2.714913668723533, 'char_conductor': 68, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 16, 'char_parity': 1, 'char_values': [340, 16, [171, 137, 241], [8, 16, 7]], 'conrey_index': 11, 'cusp_dim': 400, 'dim': 288, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 2130337333588, 'hecke_orbit_dims': [288], 'label': '340.2.bf', 'level': 340, '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, 5, 17], 'level_radical': 170, 'mf_dim': 464, 'mf_new_dim': 288, 'num_forms': 1, 'prim_orbit_index': 9, 'relative_dim': 36, 'sturm_bound': 108, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -32, 0, -96, 0, 0, 0, -80, 0, -64, 0, -64, 0, -80, 0, 0, 0, -96, 0, -32, 0, -16, 0, 0, 0, 0, 0, 0, 0, 80, 0, 80, -160, 0, 0, 0, -64, 112, 0, 96, 0, 208, 0, 0, -128, 0, 0, 208, 0, 96, 0, 112, -64, 0, 0, 0, -160, 80, 0, 0, 0, 0, 0, -128, 0, 0, 0, -224, 0, -192, 0, 0, 0, -272, 0, 0, 0, -256, 0, -256, 0, 0, 0, -272, 0, 0, 0, -192, 0, -208, 0, 80, 0, 0, 0, 96, 96, -80, 0, 16, 0, 240, 0, 112, 64, 160, 0, 0, 128, 112, 0, 192, 0, 192, 0, 112, 128, 0, 0, 160, 64, 80, 0, 240, 0, 16, 0, 0, 96, 96, 0, -32, 0, 80, 0, 16, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, -32, 96, 0, 0, -128, 224, 0, 16, 0, 0, 0, 288, -192, 0, 0, 368, -128, 192, 0, 112, -640, 352, 0, 0, -32, 224, 0, 240, 0, 240, 0, 224, -32, 0, 0, 240, -640, -48, 0, -48, -128, 368, 0, 0, -192, 32, 0, -48, 0, -368, 0, 224, -128, 0, 0, -160, -32, -400, 0, -256, 0, 0, 0, 0, 0, -176, 0, -304, 0, -256, 0, 112, 416, 0, 0, -16, 192, 0, 0, -256, 320, 336, 0, 0, 0, -64, 0, 288, 0, -112, 0, 304, 192, 0, 0, 144, 640, 80, 0, -208, 192, 32, 0, -160, 0, 480, 0, -16, 0, -384, 0, 0, 320, -224, 0, 208, 192, 80, 0, -368, 416, -288, 0, -80, 0, 96, 0, -128, 0, -496, 0, -560, 0, -208, 0, 0, 0, -80, 0, -256, 0, -368, 0, -288, -256, 0, 0, -224, 0, -192, 0, -384, 0, -192, 0, 0, 0, -160, 0, -48, 0, -288, 0, -64, -64, -256, 0, -112, 0, 128, 0, -352, 0, 0, 0, -176, 0, -288, 0, 0, 0, -288, 0, 0, -256, -240, 0, -32, 0, -128, 0, -368, 32, 0, 0, -384, 0, 96, 0, 96, 192, -592, 0, 0, 192, -112, 0, 208, 0, 336, 0, -240, 256, 0, 0, 256, 0, 240, 0, 224, 128, -176, 0, 0, 288, 80, 0, 240, 0, 336, 0, -448, 128, 0, 0, 144, 0, 32, 0, 528, 288, -400, 0, 0, 128, 272, 0, 0, 0, 544, 0, -304, 256, 0, 0, -144, 0, 224, 0, 368, 192, -112, 0, 112, 0, -320, 0, -16, -256, 464, 0, -80, -32, 80, 0, -288, -576, -480, 0, 512, 0, 0, 0, 192, -640, -384, 0, -32, -192, 256, 0, 320, -192, 224, 0, -400, -192, 160, 0, 112, 0, 160, 0, 384, -192, -96, 0, 128, -192, 448, 0, 272, -192, 208, 0, 0, -640, 192, 0, 96, 0, 512, 0, 32, -448, 192, 0, 240, -64, -16, 0, 480, 0, 240, 0, 144, 288, 320, 0, 80, 768, 480, 0, 32, 0, 512, 0, 208, 0, 0, 0, 320, 320, 0, 0, 480, 640, 0, 0, -256, 640, 448, 0, 0, 512, 32, 0, -48, 0, -704, 0, 288, 512, 0, 0, -80, 640, -160, 0, -64, 640, 560, 0, 0, 320, -256, 0, -272, 0, 0, 0, 752, -416, 0, 0, 368, 576, 160, 0, -352, 0, 704, 0, 0, 256, 256, 0, 64, 0, -192, 0, 912, -192, 0, 0, 352, -928, 0, 0, -576, -256, 352, 0, -16, 0, 496, 0, 192, 0, -784, 0, 224, -960, -208, 0, 32, -384, 288, 0, -704, -960, 144, 0, -224, 0, 512, 0, 320, 0, -288, 0, 0, -256, -384, 0, 560, -928, 240, 0, -352, -320, 384, 0, -240, 64, 432, 0, 512, 0, -512, 0, -112, -480, -80, 0, 400, -192, 112, 0, -208, -416, -304, 0, -320, 128, 0, 0, -480, 0, -192, 0, -576, 0, -224, 0, -480, 0, -304, 0, -384, 0, -1040, 0, -160, 192, -512, 0, -592, 0, -496, 0, -704, 0, -144, 0, -768, 0, -336, 0, 0, -96, -704, 0, 0, -64, -432, 0, -320, 0, 528, 0, -832, -768, 0, 0, -64, 0, 32, 0, 32, -384, -512, 0, 0, -192, -480, 0, 624, 0, 240, 0, -896, -288, 0, 0, -544, 0, -320, 0, 96, -256, -1136, 0, 0, -1024, -48, 0, -144, 0, -64, 0, -864, -384, 0, 0, -560, 0, 16, 0, 688, -1024, -816, 0, 16, -96, -768, 0, 0, 192, 608, 0, -688, -32, 288, 0, 224, 576, 288, 0, 880, -256, 64, 0, 384, 0, -32, 0, 224, 576, 1008, 0, 208, -384, 240, 0, -208, 640, 352, 0, 784, -192, 0, 0, 0, 1184, -208, 0, -432, 384, 864, 0, 208, 160, 400, 0, -464, 768, 32, 0, 672, 0, 416, 0, 320, 768, -432, 0, 32, 160, 576, 0, 752, 384, 384, 0, 0, 960, -64, 0, 1008, -256, 576, 0, 496, 640, 288, 0, 464, 384, 880, 0, 848, 0, 96, 0, 592, 192, 464, 0, 544, -576, 1360, 0, 272, 320, 80, 0, 304, 256, 0, 0, 768, 64, 160, 0, -192, -800, -192, 0, -304, -256, 448, 0, 0, -512, 480, 0, -368, 0, -544, 0, 1040, -512, 0, 0, -224, -192, 0, 0, -624, -832, 704, 0, 0, -128, 64, 0, -352, 0, -464, 0, 592, 64, 0, 0, 560, -320, -176, 0, -688, 0, 1264, 0, 0, -576, 32, 0, 256, 0, -608, 0, 720, 192, -192, 0, -272, 0, 0, 0, -1056, 64, 368, 0, -208, 0, 0, 0, -208, 0, -1120, 0, 240, 384, -80, 0, 48, 256, -352, 0, -880, 384, 448, 0, -400, -64, -224, 0, -144, 0, -1056, 0, 0, 384, -160, 0, 480, 256, -48, 0, -480, 192, -432, 0, -256, -384, 704, 0, -16, 0, 48, 0, 240, 192, -528, 0, 368, 256, 32, 0, -704, 320, -368, 0, 0], 'weight': 2, '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: 23095933
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 11, 'source_dim': 288, 'source_embedding_index': 8, 'source_hecke_orbit_code': 2130337333588, 'source_is_minimal': True, 'source_label': '340.2.bf.a.11.8', 'source_level': 340, 'target_conrey_index': 11, 'target_dim': 288, 'target_embedding_index': 8, 'target_hecke_orbit_code': 2130337333588, 'target_is_minimal': True, 'target_label': '340.2.bf.a.11.8', 'target_level': 340, 'twist_class_label': '340.2.bf.a.11.8', 'twist_class_level': 340, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 23095934
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 11, 'source_dim': 288, 'source_embedding_index': 8, 'source_hecke_orbit_code': 2130337333588, 'source_is_minimal': True, 'source_label': '340.2.bf.a.11.8', 'source_level': 340, 'target_conrey_index': 11, 'target_dim': 288, 'target_embedding_index': 16, 'target_hecke_orbit_code': 2130337333588, 'target_is_minimal': True, 'target_label': '340.2.bf.a.11.16', 'target_level': 340, 'twist_class_label': '340.2.bf.a.11.8', 'twist_class_level': 340, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 23095935
    {'conductor': 17, 'degree': 8, 'order': 16, 'parity': -1, 'source_conrey_index': 11, 'source_dim': 288, 'source_embedding_index': 8, 'source_hecke_orbit_code': 2130337333588, 'source_is_minimal': True, 'source_label': '340.2.bf.a.11.8', 'source_level': 340, 'target_conrey_index': 31, 'target_dim': 288, 'target_embedding_index': 16, 'target_hecke_orbit_code': 2130337333588, 'target_is_minimal': True, 'target_label': '340.2.bf.a.31.16', 'target_level': 340, 'twist_class_label': '340.2.bf.a.11.8', 'twist_class_level': 340, 'twisting_char_label': '17.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 23095936
    {'conductor': 68, 'degree': 8, 'order': 16, 'parity': 1, 'source_conrey_index': 11, 'source_dim': 288, 'source_embedding_index': 8, 'source_hecke_orbit_code': 2130337333588, 'source_is_minimal': True, 'source_label': '340.2.bf.a.11.8', 'source_level': 340, 'target_conrey_index': 31, 'target_dim': 288, 'target_embedding_index': 8, 'target_hecke_orbit_code': 2130337333588, 'target_is_minimal': True, 'target_label': '340.2.bf.a.31.8', 'target_level': 340, 'twist_class_label': '340.2.bf.a.11.8', 'twist_class_level': 340, 'twisting_char_label': '68.31', 'twisting_conrey_index': 31, 'weight': 2}
• hecke_orbit_code 2130337333588 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': 32, 'hecke_orbit': 1, 'label': '340.2.bf.a', 'level': 340, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 14104152
    {'hecke_orbit_code': 2130337333588, 'n': 1, 'trace_an': 288}
  • id: 14104153
    {'hecke_orbit_code': 2130337333588, 'n': 2, 'trace_an': 0}
  • id: 14104154
    {'hecke_orbit_code': 2130337333588, 'n': 3, 'trace_an': 0}
  • id: 14104155
    {'hecke_orbit_code': 2130337333588, 'n': 4, 'trace_an': 0}
  • id: 14104156
    {'hecke_orbit_code': 2130337333588, 'n': 5, 'trace_an': 0}
  • id: 14104157
    {'hecke_orbit_code': 2130337333588, 'n': 6, 'trace_an': 0}
  • id: 14104158
    {'hecke_orbit_code': 2130337333588, 'n': 7, 'trace_an': 0}
  • id: 14104159
    {'hecke_orbit_code': 2130337333588, 'n': 8, 'trace_an': 0}
  • id: 14104160
    {'hecke_orbit_code': 2130337333588, 'n': 9, 'trace_an': 0}
  • id: 14104161
    {'hecke_orbit_code': 2130337333588, 'n': 10, 'trace_an': 0}
  • id: 14104162
    {'hecke_orbit_code': 2130337333588, 'n': 11, 'trace_an': 0}
  • id: 14104163
    {'hecke_orbit_code': 2130337333588, 'n': 12, 'trace_an': 0}
  • id: 14104164
    {'hecke_orbit_code': 2130337333588, 'n': 13, 'trace_an': 0}
  • id: 14104165
    {'hecke_orbit_code': 2130337333588, 'n': 14, 'trace_an': 0}
  • id: 14104166
    {'hecke_orbit_code': 2130337333588, 'n': 15, 'trace_an': 0}
  • id: 14104167
    {'hecke_orbit_code': 2130337333588, 'n': 16, 'trace_an': 0}
  • id: 14104168
    {'hecke_orbit_code': 2130337333588, 'n': 17, 'trace_an': 0}
  • id: 14104169
    {'hecke_orbit_code': 2130337333588, 'n': 18, 'trace_an': 0}
  • id: 14104170
    {'hecke_orbit_code': 2130337333588, 'n': 19, 'trace_an': 0}
  • id: 14104171
    {'hecke_orbit_code': 2130337333588, 'n': 20, 'trace_an': 0}
  • id: 14104172
    {'hecke_orbit_code': 2130337333588, 'n': 21, 'trace_an': 0}
  • id: 14104173
    {'hecke_orbit_code': 2130337333588, 'n': 22, 'trace_an': 0}
  • id: 14104174
    {'hecke_orbit_code': 2130337333588, 'n': 23, 'trace_an': 0}
  • id: 14104175
    {'hecke_orbit_code': 2130337333588, 'n': 24, 'trace_an': -16}
  • id: 14104176
    {'hecke_orbit_code': 2130337333588, 'n': 25, 'trace_an': 0}
  • id: 14104177
    {'hecke_orbit_code': 2130337333588, 'n': 26, 'trace_an': -32}
  • id: 14104178
    {'hecke_orbit_code': 2130337333588, 'n': 27, 'trace_an': 0}
  • id: 14104179
    {'hecke_orbit_code': 2130337333588, 'n': 28, 'trace_an': -96}
  • id: 14104180
    {'hecke_orbit_code': 2130337333588, 'n': 29, 'trace_an': 0}
  • id: 14104181
    {'hecke_orbit_code': 2130337333588, 'n': 30, 'trace_an': 0}
  • id: 14104182
    {'hecke_orbit_code': 2130337333588, 'n': 31, 'trace_an': 0}
  • id: 14104183
    {'hecke_orbit_code': 2130337333588, 'n': 32, 'trace_an': -80}
  • id: 14104184
    {'hecke_orbit_code': 2130337333588, 'n': 33, 'trace_an': 0}
  • id: 14104185
    {'hecke_orbit_code': 2130337333588, 'n': 34, 'trace_an': -64}
  • id: 14104186
    {'hecke_orbit_code': 2130337333588, 'n': 35, 'trace_an': 0}
  • id: 14104187
    {'hecke_orbit_code': 2130337333588, 'n': 36, 'trace_an': -64}
  • id: 14104188
    {'hecke_orbit_code': 2130337333588, 'n': 37, 'trace_an': 0}
  • id: 14104189
    {'hecke_orbit_code': 2130337333588, 'n': 38, 'trace_an': -80}
  • id: 14104190
    {'hecke_orbit_code': 2130337333588, 'n': 39, 'trace_an': 0}
  • id: 14104191
    {'hecke_orbit_code': 2130337333588, 'n': 40, 'trace_an': 0}
  • id: 14104192
    {'hecke_orbit_code': 2130337333588, 'n': 41, 'trace_an': 0}
  • id: 14104193
    {'hecke_orbit_code': 2130337333588, 'n': 42, 'trace_an': -96}
  • id: 14104194
    {'hecke_orbit_code': 2130337333588, 'n': 43, 'trace_an': 0}
  • id: 14104195
    {'hecke_orbit_code': 2130337333588, 'n': 44, 'trace_an': -32}
  • id: 14104196
    {'hecke_orbit_code': 2130337333588, 'n': 45, 'trace_an': 0}
  • id: 14104197
    {'hecke_orbit_code': 2130337333588, 'n': 46, 'trace_an': -16}
  • id: 14104198
    {'hecke_orbit_code': 2130337333588, 'n': 47, 'trace_an': 0}
  • id: 14104199
    {'hecke_orbit_code': 2130337333588, 'n': 48, 'trace_an': 0}
  • id: 14104200
    {'hecke_orbit_code': 2130337333588, 'n': 49, 'trace_an': 0}
  • id: 14104201
    {'hecke_orbit_code': 2130337333588, 'n': 50, 'trace_an': 0}
  • id: 14104202
    {'hecke_orbit_code': 2130337333588, 'n': 51, 'trace_an': 0}
  • id: 14104203
    {'hecke_orbit_code': 2130337333588, 'n': 52, 'trace_an': 0}
  • id: 14104204
    {'hecke_orbit_code': 2130337333588, 'n': 53, 'trace_an': 0}
  • id: 14104205
    {'hecke_orbit_code': 2130337333588, 'n': 54, 'trace_an': 80}
  • id: 14104206
    {'hecke_orbit_code': 2130337333588, 'n': 55, 'trace_an': 0}
  • id: 14104207
    {'hecke_orbit_code': 2130337333588, 'n': 56, 'trace_an': 80}
  • id: 14104208
    {'hecke_orbit_code': 2130337333588, 'n': 57, 'trace_an': -160}
  • id: 14104209
    {'hecke_orbit_code': 2130337333588, 'n': 58, 'trace_an': 0}
  • id: 14104210
    {'hecke_orbit_code': 2130337333588, 'n': 59, 'trace_an': 0}
  • id: 14104211
    {'hecke_orbit_code': 2130337333588, 'n': 60, 'trace_an': 0}
  • id: 14104212
    {'hecke_orbit_code': 2130337333588, 'n': 61, 'trace_an': -64}
  • id: 14104213
    {'hecke_orbit_code': 2130337333588, 'n': 62, 'trace_an': 112}
  • id: 14104214
    {'hecke_orbit_code': 2130337333588, 'n': 63, 'trace_an': 0}
  • id: 14104215
    {'hecke_orbit_code': 2130337333588, 'n': 64, 'trace_an': 96}
  • id: 14104216
    {'hecke_orbit_code': 2130337333588, 'n': 65, 'trace_an': 0}
  • id: 14104217
    {'hecke_orbit_code': 2130337333588, 'n': 66, 'trace_an': 208}
  • id: 14104218
    {'hecke_orbit_code': 2130337333588, 'n': 67, 'trace_an': 0}
  • id: 14104219
    {'hecke_orbit_code': 2130337333588, 'n': 68, 'trace_an': 0}
  • id: 14104220
    {'hecke_orbit_code': 2130337333588, 'n': 69, 'trace_an': -128}
  • id: 14104221
    {'hecke_orbit_code': 2130337333588, 'n': 70, 'trace_an': 0}
  • id: 14104222
    {'hecke_orbit_code': 2130337333588, 'n': 71, 'trace_an': 0}
  • id: 14104223
    {'hecke_orbit_code': 2130337333588, 'n': 72, 'trace_an': 208}
  • id: 14104224
    {'hecke_orbit_code': 2130337333588, 'n': 73, 'trace_an': 0}
  • id: 14104225
    {'hecke_orbit_code': 2130337333588, 'n': 74, 'trace_an': 96}
  • id: 14104226
    {'hecke_orbit_code': 2130337333588, 'n': 75, 'trace_an': 0}
  • id: 14104227
    {'hecke_orbit_code': 2130337333588, 'n': 76, 'trace_an': 112}
  • id: 14104228
    {'hecke_orbit_code': 2130337333588, 'n': 77, 'trace_an': -64}
  • id: 14104229
    {'hecke_orbit_code': 2130337333588, 'n': 78, 'trace_an': 0}
  • id: 14104230
    {'hecke_orbit_code': 2130337333588, 'n': 79, 'trace_an': 0}
  • id: 14104231
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  • id: 14104232
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  • id: 14104233
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  • id: 14104234
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  • id: 14104235
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  • id: 14104236
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  • id: 14104237
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  • id: 14104238
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  • id: 14104239
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  • id: 14104240
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  • id: 14104241
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  • id: 14104242
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  • id: 14104243
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  • id: 14104244
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  • id: 14104245
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  • id: 14104246
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  • id: 14104247
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  • id: 14104248
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  • id: 14104249
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  • id: 14104250
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  • id: 14104251
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  • id: 14104252
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  • id: 14104253
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  • id: 14104254
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  • id: 14104255
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  • id: 14104256
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  • id: 14104257
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  • id: 14104258
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  • id: 14104259
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  • id: 14104260
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  • id: 14104261
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  • id: 14104262
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  • id: 14104263
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  • id: 14104264
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  • id: 14104265
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  • id: 14104266
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  • id: 14104267
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  • id: 14104268
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  • id: 14104269
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  • id: 14104271
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  • id: 14104272
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  • id: 14104273
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  • id: 14104274
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  • id: 14104275
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  • id: 14104276
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  • id: 14104277
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  • id: 14104278
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  • id: 14104279
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  • id: 14104280
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  • id: 14104281
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  • id: 14104282
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  • id: 14104283
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  • id: 14104284
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  • id: 14104285
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  • id: 14104286
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  • id: 14104287
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  • id: 14104288
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  • id: 14104289
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  • id: 14104290
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  • id: 14104291
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  • id: 14104292
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  • id: 14104293
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  • id: 14104294
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  • id: 14104295
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  • id: 14104296
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  • id: 14104297
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  • id: 14104298
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  • id: 14104299
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  • id: 14104300
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  • id: 14104301
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  • id: 14104302
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  • id: 14104303
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  • id: 14104304
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  • id: 14104305
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  • id: 14104306
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  • id: 14104307
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  • id: 14104308
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  • id: 14104309
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  • id: 14104310
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  • id: 14104311
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  • id: 14104312
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  • id: 14104313
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  • id: 14104314
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  • id: 14104315
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  • id: 14104316
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  • id: 14104317
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  • id: 14104318
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  • id: 14104319
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  • id: 14104320
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  • id: 14104321
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  • id: 14104322
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  • id: 14104323
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  • id: 14104324
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  • id: 14104325
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  • id: 14104326
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  • id: 14104327
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  • id: 14104328
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  • id: 14104329
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  • id: 14104330
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  • id: 14104331
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  • id: 14104332
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  • id: 14104333
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  • id: 14104334
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  • id: 14104335
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  • id: 14104336
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  • id: 14104337
    {'hecke_orbit_code': 2130337333588, 'n': 541, 'trace_an': 512}
  • id: 14104338
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  • id: 14104339
    {'hecke_orbit_code': 2130337333588, 'n': 557, 'trace_an': 640}
  • id: 14104340
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  • id: 14104341
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  • id: 14104342
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  • id: 14104343
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  • id: 14104344
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  • id: 14104345
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  • id: 14104346
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  • id: 14104347
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  • id: 14104348
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  • id: 14104349
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  • id: 14104350
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  • id: 14104351
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  • id: 14104352
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  • id: 14104353
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  • id: 14104354
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  • id: 14104355
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  • id: 14104356
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  • id: 14104357
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  • id: 14104358
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  • id: 14104359
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  • id: 14104360
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  • id: 14104361
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  • id: 14104362
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  • id: 14104363
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  • id: 14104364
    {'hecke_orbit_code': 2130337333588, 'n': 701, 'trace_an': -64}
  • id: 14104365
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  • id: 14104366
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  • id: 14104367
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  • id: 14104368
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  • id: 14104369
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  • id: 14104370
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  • id: 14104371
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  • id: 14104372
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  • id: 14104373
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  • id: 14104374
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  • id: 14104375
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  • id: 14104376
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  • id: 14104377
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  • id: 14104378
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  • id: 14104379
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  • id: 14104380
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  • id: 14104381
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  • id: 14104382
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  • id: 14104383
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  • id: 14104384
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  • id: 14104385
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  • id: 14104386
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  • id: 14104387
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  • id: 14104388
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  • id: 14104389
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  • id: 14104390
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  • id: 14104391
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  • id: 14104392
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  • id: 14104393
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  • id: 14104394
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  • id: 14104395
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  • id: 14104396
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  • id: 14104397
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  • id: 14104398
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  • id: 14104399
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  • id: 14104400
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  • id: 14104401
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  • id: 14104402
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  • id: 14104403
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  • id: 14104404
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  • id: 14104405
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  • id: 14104406
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  • id: 14104407
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  • id: 14104408
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  • id: 14104409
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