Embedded newform data - 690.2.j.a.643.7

Formats: - HTML - YAML - JSON - 2024-06-08T01:08:50.170220

• 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': 2760, 'analytic_conductor': 5.509677739468347, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 115, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 4, 'char_parity': 1, 'char_values': [690, 4, [461, 277, 511], [4, 1, 2]], 'cm_discs': [], 'conrey_index': 367, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [10070523904, 0, 0, 0, 3331522560, 0, 0, 0, 320323840, 0, 0, 0, 11978496, 0, 0, 0, 180320, 0, 0, 0, 880, 0, 0, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 618508845746, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0], [1, 1, 23, 2, -1, 2, 0], [1, 1, 115, 5, 1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '690.2.j.a', 'level': 690, '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': True, 'level_primes': [2, 3, 5, 23], 'level_radical': 690, 'minimal_twist': '690.2.j.a', 'prim_orbit_index': 5, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '690.2.j', 'trace_display': [0, 0, 0, 0], 'traces': [24, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, -8, 0, -16, -16, 0, 0, 0, 0, 16, 0, 0, 0, -16, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, -8, 0, 0, 24, 0, 0, 0, 0, 24, 0, 0, 16, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -32, -16, 0, -48, 0, 0, 0, 0, 0, 0, 0, -24, 24, 0, 0, 0, 0, 16, 0, 0, 0, 0, -8, 56, 0, 24, 24, 0, -32, 0, 0, 48, 0, 0, 0, -32, 0, 0, 0, 0, -120, 0, 0, 0, 0, 8, -16, 0, -32, 0, 0, 24, 0, -24, 0, 0, 0, 40, 0, 0, 0, 192, 0, 160, 0, 0, 0, 0, 8, 0, 16, -16, 96, 0, 0, 0, 32, -32, 0, 0, 16, -48, 0, 0, 0, 0, 16, 0, 0, 0, 0, 32, 0, -48, 0, 16, 0, 72, 0, 0, 48, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -96, -16, 80, 8, 0, 56, 0, 0, -120, 0, 0, 56, -64, 0, 0, 0, 0, -16, 0, 0, 0, 0, 8, 0, 0, 16, -224, 0, -96, 0, 24, -24, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, -40, 32, 16, -56, 0, 0, 0, 0, 32, 0, 0, 0, 24, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, -32, 24, 64, 0, 0, 0, 16, -64, 0, 0, -16, -32, 0, 0, 0, 0, 48, 0, 0, 0, 0, 8, -64, 80, 0, -32, 0, 8, 0, 0, 16, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -24, 64, 136, 16, 0, 32, 0, -160, 0, 0, 0, -112, 0, 0, 0, -16, 0, -80, 0, 0, 0, 0, 64, 144, 0, 80, -32, 0, -24, 0, -24, 128, 0, 0, 0, 24, 0, 0, 32, 0, -80, 0, 0, 0, 0, 40, 80, 0, -16, 0, 0, -16, 0, -104, 0, 0, 0, 32, -32, 0, 0, -24, 0, -24, 0, 0, 0, 0, 8, 0, -56, -416, 56, 0, 0, 0, -16, 32, 0, 0, 32, 48, 0, 0, 0, 0, -32, 0, 0, 0, 0, -64, -32, 64, 0, 128, 0, -80, 0, 0, 16, 0, 0, 48, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -256, 16, 80, 8, 0, 32, 0, -112, -8, 0, 0, 16, 32, 0, 0, 128, 0, 0, 0, 0, 0, 0, -48, 48, 0, 16, -56, 0, 32, 0, 80, 16, 0, 0, 0, 0, 0, 0, -136, 0, -384, 0, 0, 0, 0, -40, -48, 0, -72, 0, 0, 32, 0, 0, 0, 0, 0, -32, 56, 0, 0, 128, 0, 168, 0, 0, 0, 0, -64, 0, 160, 24, 312, 0, 0, 0, 416, -24, 0, 0, 0, -16, 0, 0, 0, 0, 80, 0, 0, 0, 0, -80, 32, -40, 0, 0, 0, 0, 0, 0, 208, 0, 0, -160, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 40, 0, 160, -240, 0, 144, 0, -32, -64, 0, 0, -208, -144, 0, 0, -32, 0, -80, 0, 0, 0, 0, 8, 352, 0, 48, -224, 0, -56, 0, 16, 0, 0, 0, 0, -80, 0, 0, -96, 0, -24, 0, 0, 0, 0, -80, -24, -48, -64, 0, 0, -224, 0, -24, 0, 0, 0, 176, 32, 0, 0, 48, 0, 416, 0, 0, 0, 0, 112, 0, 0, -320, 0, 0, 0, 0, -48, -224, 0, 0, -16, 576, 0, 0, 0, 0, 32, 0, 0, 0, 0, -8, -184, -224, 0, 176, 0, 8, 0, 0, 32, 0, 0, 112, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -72, -96, 448, 0, 0, 112, 0, -48, -224, 0, 0, 0, 48, 0, 0, 120, 0, 48, 0, 0, 0, 0, 32, -72, 0, 48, -32, 0, -208, 0, 24, 72, 0, 0, 0, -32, 0, 0, 48, 0, -144, 0, 0, 0, 0, -8, 352, 0, 0, 0, 0, 16, 0, 144, 0, 0, 0, 0, 216, 0, 0, 160, 0, 32, 0, 0, 0, 0, 88, 0, 112, -192, 168, 0, 0, 0, 288, 24, 0, 0, -80, -24, 0, 0, 0, 0, 160, 0, 0, 0, 0, 8, -88, 24, 0, -24, 0, 64, 0, 0, 136, 0, 0, -80, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 16, 96, -40, -64, 0, 80, 0, -544, 0, 0, 0, -96, -120, 0, 0, 280, 0, -160, 0, 0, 0, 0, 192, 16, 0, -72, -192, 0, 64, 0, -256, -64, 0, 0, 0, -64, 0, 0, -160, 0, -24, 0, 0, 0, 0, 192, 128, -64, 16, 0, 0, -64, 0, 144, 0, 0, 0, 264, -32, 0, 0, -208, 0, -80, 0, 0, 0, 0, -8, 0, -104, -80, 0, 0, 0, 0, 32, -56, 0, 0, -16, -104, 0, 0, 0, 0, 16, 0, 0, 0, 0, -272, -96, -32, 0, -32, 0, 232, 0, 0, -128, 0, 0, 128, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -240, -32, 528, -112, 0, -24, 0, 32, 0, 0, 0, -160, -568, 0, 0, -64, 0, -16, 0, 0, 0, 0, 112, 24, 0, -16, -256, 0, 0, 0, 200, 48, 0, 0, 0, -32, 0, 0, -88, 0, 40, 0, 0, 0, 0, 40, -32, 176, 64, 0, 0, 48, 0, -16, 0, 0, 0, -56, 184, 0, 0, -16, 0, 288, 0, 0, 0, 0, -136, 0, -32, -256, 48, 0, 0, 0, 48, 32, 0, 0, -144, 208, 0, 0, 0, 0, 200, 0, 0, 0, 0, -32, -352, -24, 0, 32, 0, 0, 0, 0, -48, 0, 0, 48, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -16, -112, 56, -48, 0, 176, 0, -160, -48, 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], [0.5, -0.5], [-0.408248290463863, -0.408248290463863], [0.0, -0.5], [-0.9935038936106724, 0.11379812555764607], [-0.408248290463863, 0.0], [0.9625659397054865, 0.9625659397054865], [-0.25, -0.25], [0.0, 0.3333333333333333], [-0.4398528840265132, 0.5536510095841592], [0.0, 1.0557710502730975], [-0.2041241452319315, 0.2041241452319315], [0.6672252654207455, 0.6672252654207455], [0.9625659397054865, 0.0], [0.45205415635264967, 0.35913837591884756], [-0.25, 0.0], [0.3327726599937076, 0.3327726599937076], [0.16666666666666666, 0.16666666666666666], [0.5303050898929152, 0.0], [0.056899062778823034, 0.4967519468053362], [0.0, -0.7859317986870133], [0.5278855251365487, 0.5278855251365487], [-0.475252155122976, -0.8798496400243434], [0.0, 0.2041241452319315], [0.9740999732391324, -0.22611776165423508], [0.6672252654207455, 0.0], [0.13608276348795434, -0.13608276348795434], [0.48128296985274327, -0.48128296985274327], [0.0, 0.021013601664830347], [0.4055962661357486, -0.04645789021690105], [0.22858648219316954, 0.0], [-0.125, 0.125], [0.4310167263952292, -0.4310167263952292], [0.3327726599937076, 0.0], [-1.065851208618535, -0.846774809290298], [0.16666666666666666, 0.0], [0.6161779083114175, 0.6161779083114175], [0.2651525449464576, -0.2651525449464576], [0.0, -0.5447871479246332], [0.2768255047920796, 0.2199264420132566], [0.7948627189731171, 0.0], [-0.3929658993435067, -0.3929658993435067], [-0.41344899800569046, 0.41344899800569046], [0.5278855251365487, 0.0], [-0.03793270851921536, -0.3311679645368908], [-0.6775508975736597, -0.20229874245068372], [-0.11311032188366738, 0.11311032188366738], [0.10206207261596575, 0.10206207261596575], [0.0, 0.8530663765622125], [0.37399110579244865, -0.6001088674466838], [0.0, -0.2717077391110869], [0.3336126327103727, -0.3336126327103727], [-0.35952995864728093, 0.35952995864728093], [0.0, -0.13608276348795434], [-0.1201447665391058, -1.0489126492077512], [0.0, -0.48128296985274327], [-0.21649614637306783, -0.21649614637306783], [0.010506800832415173, 0.010506800832415173], [0.0, 1.7312847903769777], [0.17956918795942378, -0.22602707817632484], [0.0, -0.107742077450891], [0.11429324109658477, -0.11429324109658477], [-0.32085531323516214, 0.32085531323516214], [0.0, 0.125], [-0.7388198836405087, -0.5869619145813413], [0.0, -0.4310167263952292], [0.6515919599183932, 0.6515919599183932], [0.1663863299968538, -0.1663863299968538], [-0.16517623153696187, 0.5532179912734051], [-0.9563130089544165, 0.10953819966411853], [1.6919752596219553, 0.0], [0.08333333333333333, -0.08333333333333333], [-0.9232120211362456, -0.9232120211362456], [0.6161779083114175, 0.0], [-0.48998683845462726, -0.30536245917691385], [0.0, -0.2651525449464576], [-1.0162492531199725, 1.0162492531199725], [-0.2723935739623166, -0.2723935739623166], [0.26776138312861103, 0.0], [0.2483759734026681, -0.028449531389411517], [-0.1111111111111111, 0.0], [0.39743135948655856, -0.39743135948655856], [0.1127929224247838, -0.1127929224247838], [-0.3929658993435067, 0.0], [-0.36847983833504466, -0.2927420284468131], [0.0, 0.41344899800569046], [0.008578766956155575, -0.008578766956155575], [0.26394276256827437, -0.26394276256827437], [-1.5662173612278767, 0.0], [-0.18455033652805308, -0.1466176280088377], [0.0, 1.2844966292099251], [-0.4399248200121717, 0.237626077561488], [-0.09332004057850973, -0.09332004057850973], [0.0, 0.11311032188366738], [-0.5268601716101688, 0.060347725203492755], [0.10206207261596575, 0.0], [-0.4734408301005946, -0.4734408301005946], [0.42653318828110626, 0.42653318828110626], [-0.3519236834243658, 0.0], [-0.11305888082711754, -0.4870499866195662], [0.04310813081893365, 0.0], [-0.13585386955554346, -0.13585386955554346], [-0.8867532701671963, 0.8867532701671963], [0.0, -0.3336126327103727], [0.08943756550673136, 0.780826302107987], [0.0, 0.35952995864728093], [-1.3312814069835073, -1.3312814069835073], [-0.06804138174397717, -0.06804138174397717], [0.296224183360767, 0.0], [-0.5845287078734285, -0.4643839413343227], [0.0, -0.5031071553794703], [-0.24064148492637163, -0.24064148492637163], [0.22220917471023313, -0.22220917471023313], [-0.21649614637306783, 0.0], [0.5722901063688799, 0.8200512387359074], [0.010506800832415173, 0.0], [-0.22240842180691517, 0.22240842180691517], [0.8656423951884888, 0.8656423951884888], [0.0, 0.640631256350275], [-0.023228945108450524, -0.2027981330678743], [-0.11465251059475917, 0.0], [-0.0538710387254455, -0.0538710387254455], [-0.32450134617423304, -0.32450134617423304], [0.0, -0.11429324109658477], [-0.9420403387475873, 0.33549962767837904], [0.0, 0.32085531323516214], [0.7533959576107355, -0.7533959576107355], [0.0625, 0.0625], [0.3375796932596405, 0.0], [-0.662890899110925, 0.07592898452958373], [1.6474722636587522, 0.0], [-0.2155083631976146, -0.2155083631976146], [0.5104536171833765, 0.5104536171833765], [0.6515919599183932, 0.0], [-0.11971279197294919, 0.15068471878421655], [0.0, -0.1663863299968538], [-0.2989908232430505, -0.2989908232430505], [0.19402087986822159, 0.35919711140518346], [0.0, 1.2273685176973113], [-0.423387404645149, 0.5329256043092675], [0.09235419108564895, 0.0], [0.8459876298109776, -0.8459876298109776], [-0.7044371192420067, 0.7044371192420067], [0.0, -0.08333333333333333], [-0.0023913084806727243, -0.020877095072792656], [-0.9232120211362456, 0.0], [0.3482628898837253, -0.3482628898837253], [0.30808895415570875, -0.30808895415570875], [-0.2163830487736102, 0.0], [-0.3976746488157705, 0.0923121896388567], [1.725048083726519, 0.0], [-0.1325762724732288, -0.1325762724732288], [-0.11092421999790252, 0.11092421999790252], [0.0, 1.0162492531199725], [-0.22710156008568055, 0.026012713201398936], [-0.2723935739623166, 0.0], [-1.3614060803590244, -1.3614060803590244], [0.13388069156430552, -0.13388069156430552], [0.29355498197659163, 0.0], [0.1099632210066283, -0.1384127523960398], [0.38945175825656114, -1.3043748328425713], [-0.05555555555555555, 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0.054656563457247447], [0.0, -1.2319807716845088], [0.19832938697641525, -0.31824078689684915], [-0.1554701259473229, 0.0], [0.16015781408756874, -0.16015781408756874], [0.25256773148167283, -0.25256773148167283], [-0.11984331954909365, 0.0], [0.1867360491070655, 1.6302816145364711], [0.5877468458200579, 0.0], [0.009057213799348514, 0.009057213799348514], [0.09354550736811347, -0.09354550736811347], [0.0, -0.5755967654765278], [-0.044892296989855945, 0.05650676954408121], [-0.9477482201585518, 0.0], [0.4111294684194853, 0.4111294684194853], [0.4437604689945024, -0.4437604689945024], [0.3796865966413503, 0.0], [1.1093031824524562, 0.8812956097162737], [-0.15899301452638673, 0.5325087956320668], [-0.8870331239665417, 0.8870331239665417], [0.028663127648689793, 0.028663127648689793], [0.0, -0.1440879970139057], [0.47036530809920957, -0.05387667902790365], [0.0, -1.312037568991414], [0.022680460581325723, -0.022680460581325723], [-1.1814231306022425, 1.1814231306022425], [0.0, -0.9948263951929269], [-0.12318605046671273, -0.5306771462144085], [0.0, 0.02693551936272275], [0.018113643215669745, 0.018113643215669745], [-0.08989961224922259, -0.08989961224922259], [0.0, -1.6535669484195143], [-0.42376238331145305, 0.04853867731451642], [0.0, 0.09874139445358901], [0.6290509702596901, -0.6290509702596901], [0.4129126715221178, -0.4129126715221178], [0.0, 0.16225067308711652], [0.23111374051063047, -0.29090716557577256], [0.0, 0.0069927521220537955], [0.08889699872809775, 0.08889699872809775], [0.17691647717888634, -0.17691647717888634], [0.5602654793993717, 0.16728042472809285], [0.1547946471114409, -0.19484290262447618], [1.8246449043706567, 0.0], [-0.028573310274146193, 0.028573310274146193], [0.05226771037991093, 0.05226771037991093], [1.6286377557364418, 0.0], [-0.8338908532864796, 0.09551569614769354], [0.0, 0.046047517756341104], [-0.247142846334119, 0.247142846334119], [-0.07699214984808686, -0.07699214984808686], [0.16770238512649008, 0.0], [0.3193849916064916, 0.15163517776730207]], 'angles': [None, None, None, -0.005851575046285339, 0.08850749804253158, -0.04680230515300797, -0.08719541783199819, -0.2072888410067823, None, 0.0016722400567514254, -0.23176982786786707, -0.05324979985842368, -0.18495083818275768, -0.4222190410531468, -0.3877429943427791, -0.4159103642208818, 0.16654483200258052, -0.49142200546369014, -0.048791118121620576, -0.08950581349221508, -0.23820489200444228, -0.22862805362591546, -0.36229284012374907, -0.39318358650689555, -0.17932985625683054, -0.24656929827344296, -0.48286467925800014, -0.42977528183143965, -0.2263401796516577, -0.3498886228390954, -0.285582804658476, -0.09594288085763024, -0.15890413702335884, 0.1051566063503562, -0.2672529870837803, -0.08444118203700708, -0.4186300898136042, -0.10011662053971788, -0.45108956891370344, -0.2014466130034332, -0.34469753835896505, 0.04631281460801095, -0.3468557288387394, -0.49971210788263154, -0.4047388116911114, -0.18107261208431366, -0.4076957820191214, -0.1370877401634557, 0.0037370791798316616, -0.18024658841762456, -0.22139844568908634, 0.0999924445659794, 0.06198408635320215, -0.4335808683227612, -0.3649811987493137, -0.22436897473162773, 0.06863741072497016, -0.30773368518974015, -0.30282519717045747, -0.3295809682146929, 0.26161161693870216, -0.4514190958307456, -0.30891922435310165, -0.23559786242110325, -0.23120317626701611, -0.35350592854940854, -0.26019521285947533, -0.49242078333985395, -0.4147029327208101, -0.4817325810841372, -0.015506261865019466, -0.1392947940635607, -0.020129637227520474, -0.3718185005966129, -0.2016759173633858, -0.27929000837108237, -0.08158096731592045, -0.354175777854117, 0.034499378204837554, 0.042029263979973926, -0.3897580833081787, -0.37443572066445474, 0.12712742734233035, -0.28840447018287174, -0.3610550185342082, -0.09368774759789186, 0.03449044394263613, -0.13473670717474348, -0.15196684693791845, -0.18883861848906303, -0.2318256717657562, -0.23508997025175843, -0.2508212893730969, -0.14172183472552835, -0.48773418015410996, -0.4290325966833702, -0.40018224882155173, 0.1491517787552252, -0.37223916945166485, -0.3835236893651561, 0.3557002873151462, -0.11705268529011467, -0.3558685681569304, -0.3243441692263628, 0.01725584136367574, -0.4583391841080567, -0.3673900725685156, 0.0760770687779347, 0.023657276382677162, -0.38324959324234614, 0.2673626571442342, -0.2988711294500108, -0.23984019363813822, -0.44027340507901896, -0.48216049830722735, 0.1172414857555946, -0.47046903691984054, -0.4389871489497412, -0.1318196442707858, -0.15972894886095032, -0.35003318868982936, -0.48846931974319163, -0.1282791303986938, 0.02458686153062509, -0.15615697516941346, -0.45555852037323835, -0.38742724983089516, -0.38844500520072356, 0.008647122032082134, -0.460465723501799, -0.4787875797213721, -0.15071264041359658, -0.4566519843336323, -0.14639660033416207, -0.22317703513236126, -0.2882249659774982, -0.44010735864251066, -0.21393708746006446, -0.03981603545565935, 0.06284236170555006, -0.22476034058704233, -0.33568364810005163, -0.03764337797478755, -0.19620984464607932, -0.31498208306280084, -0.2101749881422613, -0.06306976838445036, -0.29962440916969457, -0.42311623626765044, -0.03143588008998351, -0.2581846880139376, 0.005922328209865008, -0.08599881773969766, 0.2605017963599295, -0.15525303420819886, 0.00420506491249634, -0.14281534670170395, -0.47058558526247085, -0.12508563396093866, 0.028270219272242183, -0.3629036911293085, -0.34642283546265756, -0.48290511316298507, -0.38611959776876775, -0.12296144319266229, -0.3278440705330187, -0.06714362092665802, -0.4029568927633843], 'char_orbit_index': 10, 'conrey_index': 643, 'dual_conrey_index': 367, 'dual_embedding_index': 7, 'dual_embedding_m': 7, 'embedding_index': 7, 'embedding_m': 19, 'hecke_orbit': 1, 'hecke_orbit_code': 618508845746, 'label': '690.2.j.a.643.7', 'level': 690, 'weight': 2}
• 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': 2760, 'analytic_conductor': 5.509677739468347, 'char_conductor': 115, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 10, 'char_orbit_label': 'j', 'char_order': 4, 'char_parity': 1, 'char_values': [690, 4, [461, 277, 511], [4, 1, 2]], 'conrey_index': 367, 'cusp_dim': 272, 'dim': 48, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 618508845746, 'hecke_orbit_dims': [24, 24], 'label': '690.2.j', 'level': 690, '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': True, 'level_primes': [2, 3, 5, 23], 'level_radical': 690, 'mf_dim': 304, 'mf_new_dim': 48, 'num_forms': 2, 'prim_orbit_index': 5, 'relative_dim': 24, 'sturm_bound': 288, 'trace_bound': 6, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, -48, 0, 0, 0, 0, 0, 0, 8, 0, -32, -16, 0, 0, 0, 0, 32, 0, 0, 0, -16, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 16, 0, 16, 0, 0, -32, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, -64, 0, 32, 0, 16, 16, 0, 0, -48, 48, 0, 0, -48, 0, 32, 0, 0, 0, 0, 8, 48, 0, 48, 0, 0, -32, 0, -48, -80, 0, 0, 0, -48, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, -16, -16, -64, 0, 0, 16, 0, 0, 0, 0, 0, -80, 0, 0, 0, 128, 0, -16, 0, 0, 0, 0, 24, 0, -16, 0, 112, 0, 0, 0, 32, -32, 0, 0, 0, -32, 0, 0, 0, 0, 16, 0, 0, 0, 0, 176, 0, -32, 0, -16, 0, 192, 0, 0, -32, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 32, -32, 0, 80, 0, 0, -128, 0, 0, 112, -16, 0, 0, -32, 0, -32, 0, 0, 0, 0, -8, -16, 0, 16, -128, 0, -80, 0, -80, 0, 0, 0, 0, 48, 0, 0, 64, 0, 48, 0, 0, 0, 0, -72, 0, 0, -64, 0, 0, 0, 0, 112, 0, 0, 0, -144, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, -16, 0, -64, 48, -112, 0, 0, 0, 16, 16, 0, 0, -96, -96, 0, 0, 0, 0, -96, 0, 0, 0, 0, 16, -32, 112, 0, -16, 0, 48, 0, 0, -16, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 352, 240, 0, 0, -32, 0, -32, -16, 0, 0, 112, 16, 0, 0, 16, 0, 0, 0, 0, 0, 0, 16, 0, 0, 64, 32, 0, -48, 0, -80, 64, 0, 0, 0, 128, 0, 0, 96, 0, -32, 0, 0, 0, 0, 72, 64, -128, -32, 0, 0, -16, 0, -144, 0, 0, 0, -48, -64, 0, 0, -80, 0, -192, 0, 0, 0, 0, -8, 0, -128, -352, 48, 0, 0, 0, -32, 336, 0, 0, 32, -144, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -32, 144, 0, 208, 0, -128, 0, 0, 32, 0, 0, 224, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -144, 16, 48, 80, 0, 64, 0, 16, 32, 0, 0, 80, 256, 0, 0, 176, 0, 0, 0, 0, 0, 0, -192, 32, 0, 48, -112, 0, 192, 0, 80, -176, 0, 0, 0, 32, 0, 0, -32, 0, -48, 0, 0, 0, 0, -96, -240, 16, -80, 0, 0, -96, 0, 16, 0, 0, 0, -64, -64, 0, 0, 224, 0, 96, 0, 0, 0, 0, -112, 0, 112, 0, 400, 0, 0, 0, 192, 0, 0, 0, -48, -32, 0, 0, 0, 0, 160, 0, 0, 0, 0, -96, -32, 80, 0, -48, 0, 0, 0, 0, 336, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, -16, -320, 0, 48, 0, 0, 96, 0, 0, 64, -160, 0, 0, -368, 0, 0, 0, 0, 0, 0, 24, 144, 0, 80, -224, 0, -64, 0, 16, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, -248, -48, -240, -32, 0, 0, -608, 0, 16, 0, 0, 0, -96, 32, 0, 0, 160, 0, 240, 0, 0, 0, 0, 176, 0, -48, -160, -48, 0, 0, 0, -176, -96, 0, 0, 80, 448, 0, 0, 0, 0, 64, 0, 0, 0, 0, -16, -272, -368, 0, 160, 0, -64, 0, 0, 16, 0, 0, 240, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -32, -160, 176, 0, 0, -64, 0, -32, -192, 0, 0, 0, 64, 0, 0, 128, 0, 272, 0, 0, 0, 0, -288, -192, 0, 32, 160, 0, -208, 0, 32, 48, 0, 0, 0, 0, 0, 0, 480, 0, 384, 0, 0, 0, 0, -16, 160, 32, 16, 0, 0, 16, 0, 208, 0, 0, 0, -16, 112, 0, 0, 96, 0, 0, 0, 0, 0, 0, 288, 0, -32, -32, 240, 0, 0, 0, 288, 112, 0, 0, -112, -32, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 96, 48, 0, 0, 0, 16, 0, 0, 32, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 48, 96, -160, 96, 0, 32, 0, -720, 0, 0, 0, -64, -128, 0, 0, 80, 0, -96, 0, 0, 0, 0, 96, 32, 0, -160, -256, 0, 16, 0, -288, -160, 0, 0, 0, -128, 0, 0, -336, 0, -16, 0, 0, 0, 0, 224, 96, -224, 32, 0, 0, -96, 0, 128, 0, 0, 0, 64, -256, 0, 0, -400, 0, -576, 0, 0, 0, 0, 8, 0, -256, 144, -16, 0, 0, 0, 128, -48, 0, 0, -48, -688, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -80, 256, 0, -32, 0, 336, 0, 0, -144, 0, 0, 320, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -16, -32, 352, -32, 0, 32, 0, 32, 32, 0, 0, 288, -496, 0, 0, -16, 0, 64, 0, 0, 0, 0, 48, -240, 0, -32, -224, 0, -48, 0, 624, 64, 0, 0, 0, 144, 0, 0, 48, 0, 304, 0, 0, 0, 0, 8, 96, 128, 224, 0, 0, 144, 0, 0, 0, 0, 0, -64, 96, 0, 0, -16, 0, 208, 0, 0, 0, 0, -192, 0, -64, -288, -192, 0, 0, 0, 0, 112, 0, 0, -480, 144, 0, 0, 0, 0, 208, 0, 0, 0, 0, 112, -32, 144, 0, -32, 0, 0, 0, 0, -48, 0, 0, 64, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -48, -224, 64, 176, 0, 16, 0, 144, 48, 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: 7119075
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 643, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 618508845746, 'source_is_minimal': True, 'source_label': '690.2.j.a.643.7', 'source_level': 690, 'target_conrey_index': 643, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 618508845746, 'target_is_minimal': True, 'target_label': '690.2.j.a.643.7', 'target_level': 690, 'twist_class_label': '690.2.j.a.367.7', 'twist_class_level': 690, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 7119076
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 643, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 618508845746, 'source_is_minimal': True, 'source_label': '690.2.j.a.643.7', 'source_level': 690, 'target_conrey_index': 367, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 618508845746, 'target_is_minimal': True, 'target_label': '690.2.j.a.367.12', 'target_level': 690, 'twist_class_label': '690.2.j.a.367.7', 'twist_class_level': 690, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 7119077
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 643, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 618508845746, 'source_is_minimal': True, 'source_label': '690.2.j.a.643.7', 'source_level': 690, 'target_conrey_index': 643, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 618508845746, 'target_is_minimal': True, 'target_label': '690.2.j.a.643.12', 'target_level': 690, 'twist_class_label': '690.2.j.a.367.7', 'twist_class_level': 690, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 2}
  • id: 7119078
    {'conductor': 115, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 643, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 618508845746, 'source_is_minimal': True, 'source_label': '690.2.j.a.643.7', 'source_level': 690, 'target_conrey_index': 367, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 618508845746, 'target_is_minimal': True, 'target_label': '690.2.j.a.367.7', 'target_level': 690, 'twist_class_label': '690.2.j.a.367.7', 'twist_class_level': 690, 'twisting_char_label': '115.22', 'twisting_conrey_index': 22, 'weight': 2}
• hecke_orbit_code 618508845746 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': 10, 'hecke_orbit': 1, 'label': '690.2.j.a', 'level': 690, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 10234152
    {'hecke_orbit_code': 618508845746, 'n': 1, 'trace_an': 24}
  • id: 10234153
    {'hecke_orbit_code': 618508845746, 'n': 2, 'trace_an': 0}
  • id: 10234154
    {'hecke_orbit_code': 618508845746, 'n': 3, 'trace_an': 0}
  • id: 10234155
    {'hecke_orbit_code': 618508845746, 'n': 4, 'trace_an': 0}
  • id: 10234156
    {'hecke_orbit_code': 618508845746, 'n': 5, 'trace_an': 0}
  • id: 10234157
    {'hecke_orbit_code': 618508845746, 'n': 6, 'trace_an': -24}
  • id: 10234158
    {'hecke_orbit_code': 618508845746, 'n': 7, 'trace_an': 0}
  • id: 10234159
    {'hecke_orbit_code': 618508845746, 'n': 8, 'trace_an': 0}
  • id: 10234160
    {'hecke_orbit_code': 618508845746, 'n': 9, 'trace_an': 0}
  • id: 10234161
    {'hecke_orbit_code': 618508845746, 'n': 10, 'trace_an': 0}
  • id: 10234162
    {'hecke_orbit_code': 618508845746, 'n': 11, 'trace_an': 0}
  • id: 10234163
    {'hecke_orbit_code': 618508845746, 'n': 12, 'trace_an': 0}
  • id: 10234164
    {'hecke_orbit_code': 618508845746, 'n': 13, 'trace_an': 0}
  • id: 10234165
    {'hecke_orbit_code': 618508845746, 'n': 14, 'trace_an': 0}
  • id: 10234166
    {'hecke_orbit_code': 618508845746, 'n': 15, 'trace_an': 0}
  • id: 10234167
    {'hecke_orbit_code': 618508845746, 'n': 16, 'trace_an': -24}
  • id: 10234168
    {'hecke_orbit_code': 618508845746, 'n': 17, 'trace_an': 0}
  • id: 10234169
    {'hecke_orbit_code': 618508845746, 'n': 18, 'trace_an': 0}
  • id: 10234170
    {'hecke_orbit_code': 618508845746, 'n': 19, 'trace_an': 0}
  • id: 10234171
    {'hecke_orbit_code': 618508845746, 'n': 20, 'trace_an': 0}
  • id: 10234172
    {'hecke_orbit_code': 618508845746, 'n': 21, 'trace_an': 0}
  • id: 10234173
    {'hecke_orbit_code': 618508845746, 'n': 22, 'trace_an': 0}
  • id: 10234174
    {'hecke_orbit_code': 618508845746, 'n': 23, 'trace_an': -8}
  • id: 10234175
    {'hecke_orbit_code': 618508845746, 'n': 24, 'trace_an': 0}
  • id: 10234176
    {'hecke_orbit_code': 618508845746, 'n': 25, 'trace_an': -16}
  • id: 10234177
    {'hecke_orbit_code': 618508845746, 'n': 26, 'trace_an': -16}
  • id: 10234178
    {'hecke_orbit_code': 618508845746, 'n': 27, 'trace_an': 0}
  • id: 10234179
    {'hecke_orbit_code': 618508845746, 'n': 28, 'trace_an': 0}
  • id: 10234180
    {'hecke_orbit_code': 618508845746, 'n': 29, 'trace_an': 0}
  • id: 10234181
    {'hecke_orbit_code': 618508845746, 'n': 30, 'trace_an': 0}
  • id: 10234182
    {'hecke_orbit_code': 618508845746, 'n': 31, 'trace_an': 16}
  • id: 10234183
    {'hecke_orbit_code': 618508845746, 'n': 32, 'trace_an': 0}
  • id: 10234184
    {'hecke_orbit_code': 618508845746, 'n': 33, 'trace_an': 0}
  • id: 10234185
    {'hecke_orbit_code': 618508845746, 'n': 34, 'trace_an': 0}
  • id: 10234186
    {'hecke_orbit_code': 618508845746, 'n': 35, 'trace_an': -16}
  • id: 10234187
    {'hecke_orbit_code': 618508845746, 'n': 36, 'trace_an': 24}
  • id: 10234188
    {'hecke_orbit_code': 618508845746, 'n': 37, 'trace_an': 0}
  • id: 10234189
    {'hecke_orbit_code': 618508845746, 'n': 38, 'trace_an': 0}
  • id: 10234190
    {'hecke_orbit_code': 618508845746, 'n': 39, 'trace_an': 0}
  • id: 10234191
    {'hecke_orbit_code': 618508845746, 'n': 40, 'trace_an': 0}
  • id: 10234192
    {'hecke_orbit_code': 618508845746, 'n': 41, 'trace_an': 0}
  • id: 10234193
    {'hecke_orbit_code': 618508845746, 'n': 42, 'trace_an': 0}
  • id: 10234194
    {'hecke_orbit_code': 618508845746, 'n': 43, 'trace_an': 0}
  • id: 10234195
    {'hecke_orbit_code': 618508845746, 'n': 44, 'trace_an': 0}
  • id: 10234196
    {'hecke_orbit_code': 618508845746, 'n': 45, 'trace_an': 0}
  • id: 10234197
    {'hecke_orbit_code': 618508845746, 'n': 46, 'trace_an': -8}
  • id: 10234198
    {'hecke_orbit_code': 618508845746, 'n': 47, 'trace_an': -8}
  • id: 10234199
    {'hecke_orbit_code': 618508845746, 'n': 48, 'trace_an': 0}
  • id: 10234200
    {'hecke_orbit_code': 618508845746, 'n': 49, 'trace_an': 0}
  • id: 10234201
    {'hecke_orbit_code': 618508845746, 'n': 50, 'trace_an': 24}
  • id: 10234202
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  • id: 10234203
    {'hecke_orbit_code': 618508845746, 'n': 52, 'trace_an': 0}
  • id: 10234204
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  • id: 10234205
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  • id: 10234206
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  • id: 10234207
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  • id: 10234208
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  • id: 10234209
    {'hecke_orbit_code': 618508845746, 'n': 58, 'trace_an': 16}
  • id: 10234210
    {'hecke_orbit_code': 618508845746, 'n': 59, 'trace_an': 0}
  • id: 10234211
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  • id: 10234212
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  • id: 10234213
    {'hecke_orbit_code': 618508845746, 'n': 62, 'trace_an': -56}
  • id: 10234214
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  • id: 10234215
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  • id: 10234216
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  • id: 10234217
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  • id: 10234218
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  • id: 10234219
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  • id: 10234220
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  • id: 10234221
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  • id: 10234222
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  • id: 10234223
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  • id: 10234224
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  • id: 10234225
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  • id: 10234226
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  • id: 10234227
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  • id: 10234228
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  • id: 10234229
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  • id: 10234230
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  • id: 10234231
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  • id: 10234232
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  • id: 10234233
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  • id: 10234234
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  • id: 10234235
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  • id: 10234236
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  • id: 10234237
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  • id: 10234238
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  • id: 10234239
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  • id: 10234240
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  • id: 10234241
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  • id: 10234242
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  • id: 10234243
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  • id: 10234244
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  • id: 10234245
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  • id: 10234246
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  • id: 10234247
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  • id: 10234248
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  • id: 10234249
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  • id: 10234250
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  • id: 10234251
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  • id: 10234252
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  • id: 10234253
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  • id: 10234254
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  • id: 10234255
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  • id: 10234256
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  • id: 10234257
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  • id: 10234258
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  • id: 10234259
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  • id: 10234260
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  • id: 10234261
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  • id: 10234262
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  • id: 10234263
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  • id: 10234264
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  • id: 10234265
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  • id: 10234266
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  • id: 10234267
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  • id: 10234268
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  • id: 10234269
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  • id: 10234270
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  • id: 10234271
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  • id: 10234272
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  • id: 10234273
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  • id: 10234274
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  • id: 10234275
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  • id: 10234276
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  • id: 10234277
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  • id: 10234278
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  • id: 10234279
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  • id: 10234280
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  • id: 10234281
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  • id: 10234282
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  • id: 10234283
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  • id: 10234284
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  • id: 10234285
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  • id: 10234286
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  • id: 10234287
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  • id: 10234288
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  • id: 10234289
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  • id: 10234290
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  • id: 10234291
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  • id: 10234292
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  • id: 10234293
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  • id: 10234294
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  • id: 10234295
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  • id: 10234296
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  • id: 10234297
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  • id: 10234298
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  • id: 10234299
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  • id: 10234300
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  • id: 10234301
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  • id: 10234302
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  • id: 10234303
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  • id: 10234304
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  • id: 10234305
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  • id: 10234306
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  • id: 10234307
    {'hecke_orbit_code': 618508845746, 'n': 361, 'trace_an': -24}
  • id: 10234308
    {'hecke_orbit_code': 618508845746, 'n': 367, 'trace_an': 0}
  • id: 10234309
    {'hecke_orbit_code': 618508845746, 'n': 373, 'trace_an': 0}
  • id: 10234310
    {'hecke_orbit_code': 618508845746, 'n': 379, 'trace_an': 0}
  • id: 10234311
    {'hecke_orbit_code': 618508845746, 'n': 383, 'trace_an': 0}
  • id: 10234312
    {'hecke_orbit_code': 618508845746, 'n': 389, 'trace_an': 0}
  • id: 10234313
    {'hecke_orbit_code': 618508845746, 'n': 397, 'trace_an': -80}
  • id: 10234314
    {'hecke_orbit_code': 618508845746, 'n': 401, 'trace_an': 0}
  • id: 10234315
    {'hecke_orbit_code': 618508845746, 'n': 409, 'trace_an': 0}
  • id: 10234316
    {'hecke_orbit_code': 618508845746, 'n': 419, 'trace_an': 0}
  • id: 10234317
    {'hecke_orbit_code': 618508845746, 'n': 421, 'trace_an': 0}
  • id: 10234318
    {'hecke_orbit_code': 618508845746, 'n': 431, 'trace_an': 0}
  • id: 10234319
    {'hecke_orbit_code': 618508845746, 'n': 433, 'trace_an': 0}
  • id: 10234320
    {'hecke_orbit_code': 618508845746, 'n': 439, 'trace_an': 0}
  • id: 10234321
    {'hecke_orbit_code': 618508845746, 'n': 443, 'trace_an': 32}
  • id: 10234322
    {'hecke_orbit_code': 618508845746, 'n': 449, 'trace_an': 0}
  • id: 10234323
    {'hecke_orbit_code': 618508845746, 'n': 457, 'trace_an': 0}
  • id: 10234324
    {'hecke_orbit_code': 618508845746, 'n': 461, 'trace_an': -48}
  • id: 10234325
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  • id: 10234326
    {'hecke_orbit_code': 618508845746, 'n': 467, 'trace_an': 0}
  • id: 10234327
    {'hecke_orbit_code': 618508845746, 'n': 479, 'trace_an': 0}
  • id: 10234328
    {'hecke_orbit_code': 618508845746, 'n': 487, 'trace_an': 312}
  • id: 10234329
    {'hecke_orbit_code': 618508845746, 'n': 491, 'trace_an': 416}
  • id: 10234330
    {'hecke_orbit_code': 618508845746, 'n': 499, 'trace_an': 0}
  • id: 10234331
    {'hecke_orbit_code': 618508845746, 'n': 503, 'trace_an': 0}
  • id: 10234332
    {'hecke_orbit_code': 618508845746, 'n': 509, 'trace_an': 0}
  • id: 10234333
    {'hecke_orbit_code': 618508845746, 'n': 512, 'trace_an': 0}
  • id: 10234334
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  • id: 10234335
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  • id: 10234336
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  • id: 10234337
    {'hecke_orbit_code': 618508845746, 'n': 541, 'trace_an': -208}
  • id: 10234338
    {'hecke_orbit_code': 618508845746, 'n': 547, 'trace_an': -80}
  • id: 10234339
    {'hecke_orbit_code': 618508845746, 'n': 557, 'trace_an': 0}
  • id: 10234340
    {'hecke_orbit_code': 618508845746, 'n': 563, 'trace_an': 0}
  • id: 10234341
    {'hecke_orbit_code': 618508845746, 'n': 569, 'trace_an': 0}
  • id: 10234342
    {'hecke_orbit_code': 618508845746, 'n': 571, 'trace_an': 0}
  • id: 10234343
    {'hecke_orbit_code': 618508845746, 'n': 577, 'trace_an': -48}
  • id: 10234344
    {'hecke_orbit_code': 618508845746, 'n': 587, 'trace_an': 176}
  • id: 10234345
    {'hecke_orbit_code': 618508845746, 'n': 593, 'trace_an': 416}
  • id: 10234346
    {'hecke_orbit_code': 618508845746, 'n': 599, 'trace_an': 0}
  • id: 10234347
    {'hecke_orbit_code': 618508845746, 'n': 601, 'trace_an': -320}
  • id: 10234348
    {'hecke_orbit_code': 618508845746, 'n': 607, 'trace_an': -224}
  • id: 10234349
    {'hecke_orbit_code': 618508845746, 'n': 613, 'trace_an': 0}
  • id: 10234350
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  • id: 10234351
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  • id: 10234352
    {'hecke_orbit_code': 618508845746, 'n': 625, 'trace_an': 176}
  • id: 10234353
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  • id: 10234354
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  • id: 10234355
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  • id: 10234356
    {'hecke_orbit_code': 618508845746, 'n': 647, 'trace_an': 448}
  • id: 10234357
    {'hecke_orbit_code': 618508845746, 'n': 653, 'trace_an': -224}
  • id: 10234358
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  • id: 10234359
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  • id: 10234360
    {'hecke_orbit_code': 618508845746, 'n': 673, 'trace_an': -208}
  • id: 10234361
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  • id: 10234362
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  • id: 10234363
    {'hecke_orbit_code': 618508845746, 'n': 691, 'trace_an': 352}
  • id: 10234364
    {'hecke_orbit_code': 618508845746, 'n': 701, 'trace_an': 0}
  • id: 10234365
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  • id: 10234366
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  • id: 10234367
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  • id: 10234368
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  • id: 10234369
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  • id: 10234370
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  • id: 10234371
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  • id: 10234372
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  • id: 10234373
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  • id: 10234374
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  • id: 10234375
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  • id: 10234376
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  • id: 10234377
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  • id: 10234378
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  • id: 10234379
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  • id: 10234380
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  • id: 10234381
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  • id: 10234382
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  • id: 10234383
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  • id: 10234384
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  • id: 10234385
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  • id: 10234386
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  • id: 10234387
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  • id: 10234388
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  • id: 10234389
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  • id: 10234390
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  • id: 10234391
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  • id: 10234392
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  • id: 10234393
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  • id: 10234394
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  • id: 10234395
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  • id: 10234396
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  • id: 10234397
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  • id: 10234398
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  • id: 10234399
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  • id: 10234400
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  • id: 10234401
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  • id: 10234402
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  • id: 10234403
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  • id: 10234404
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  • id: 10234405
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  • id: 10234406
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  • id: 10234407
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  • id: 10234408
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  • id: 10234409
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