Embedded newform data - 952.2.z.c.781.101

Formats: - HTML - YAML - JSON - 2025-11-09T01:00:33.909277

• 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': 3808, 'analytic_conductor': 7.601758272425893, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 952, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 26, 'char_orbit_label': 'z', 'char_order': 6, 'char_parity': 1, 'char_values': [952, 6, [239, 477, 409, 785], [6, 3, 2, 3]], 'cm_discs': [], 'conrey_index': 373, 'dim': 272, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [67853950047427231744, 0, 4558710804660696907776, 0, 187275587002474396909568, 0, 4535609392751941697667072, 0, 76288907273175590335676416, 0, 962081067197543603113033728, 0, 9577899243051740110240677888, 0, 77716229013174270082186805248, 0, 525826638874287684523714879488, 0, 3015169182092721387985031490560, 0, 14835124291724162861901164907264, 0, 63227154626290422347502836014208, 0, 235207228875621055804183614781456, 0, 768442303793902271913444143414596, 0, 2216344594175898874668085719666749, 0, 5668369881185608726603444675922259, 0, 12905626146123422505723698129841834, 0, 26250346977766125596130485826028875, 0, 47856122636061063914888079771900875, 0, 78433242016788423188808715119593466, 0, 115893965044375873051201033617438691, 0, 154808138481848757159835009640319139, 0, 187421593836103872149427886392338677, 0, 206162507670253294632060110211536572, 0, 206532569853805796729392391086204221, 0, 188857354520023973464769083811920975, 0, 157970410186460920645993192273058046, 0, 121114206049138646685390775241303795, 0, 85275260502146650339851866187680667, 0, 55238318150426068800103142081143582, 0, 32974475795197970910757418851254259, 0, 18168391118987114850807131509023579, 0, 9253126961876305659482605404023838, 0, 4361929599673806688742606300655035, 0, 1905568376937391925943037470395698, 0, 772355942706487581388797954304455, 0, 290738604805977856113321485338619, 0, 101737023891403016553236377897010, 0, 33120616159676670670907692237009, 0, 10038406980835975540897315498441, 0, 2834214599052802131118383030154, 0, 745770855340921898376122824841, 0, 182949988171907058218335611373, 0, 41851090084938045420073237246, 0, 8928158479906353507071288371, 0, 1776099444486845736520915931, 0, 329400270993526007540805650, 0, 56932293242726459409151379, 0, 9164674727862468514497747, 0, 1372951150752179374920418, 0, 191218012779948050884554, 0, 24727568805624494548936, 0, 2964334967325474980700, 0, 328799785500808440260, 0, 33665432430826782416, 0, 3172974884859006324, 0, 274351541551124278, 0, 21673216475043698, 0, 1556464959632822, 0, 100989419992632, 0, 5874731109584, 0, 303406756228, 0, 13735978649, 0, 535889911, 0, 17591488, 0, 468981, 0, 9588, 0, 135, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9008917275214776, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 17, 2, 1, 2, 0], [1, 1, 56, 16, 1, 6, 0], [1, 1, 119, 10, 1, 6, 0], [1, 1, 136, 8, 1, 2, 0], [1, 1, 952, 26, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '952.2.z.c', 'level': 952, '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, 7, 17], 'level_radical': 238, 'minimal_twist': '952.2.z.c', 'prim_orbit_index': 26, 'related_objects': [], 'relative_dim': 136, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '952.2.z', 'trace_display': [-6, 0, 0, 0], 'traces': [272, -6, 0, -2, 0, 0, 0, -24, -132, 0, 0, 0, 0, 0, -40, -26, -6, 6, 0, 0, 0, 0, 0, 0, -112, -8, 0, 0, 0, -2, 0, 44, -28, -56, 0, 40, 0, -42, 0, 0, 0, 12, 0, 0, 0, 0, 28, 0, -60, 72, 0, -38, 0, 0, 232, 0, 0, 0, 0, -6, 0, 0, 0, 40, 0, 48, 0, 32, 0, 86, 0, -36, 0, 0, 0, -148, 0, 0, 0, 0, -168, 0, 0, -34, 0, 22, 16, 0, -72, 0, 0, 0, 0, 62, 0, 0, 0, 14, 0, -30, 0, -28, -12, 36, 0, -12, 0, 0, 0, 46, 232, 0, 0, 0, 0, 0, 0, -4, 6, -108, -4, 0, 0, 0, 0, 0, -160, -34, 0, 0, 0, 112, 0, 280, -44, -96, 32, 24, 0, -36, 0, 0, 0, -106, -48, 0, 0, 0, 0, 0, -36, 88, 48, 94, 0, 0, 0, 0, 0, 0, 12, -132, 0, 0, 0, -26, 0, -138, -176, -46, 0, 106, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 248, 0, -96, -4, 0, 76, 0, 0, -52, 0, 0, 0, 0, 22, 0, 0, 0, 56, 0, 132, 0, -168, 0, 42, 0, -38, 0, 0, 0, -124, 0, 0, 0, 0, -164, 0, 0, -24, 0, 56, 96, 0, 256, 0, 0, 0, 0, -376, 0, 0, 0, 50, 0, 76, 0, 22, 80, -132, 0, -184, 0, 0, 0, 44, 56, 0, 0, 0, 0, 0, 0, -198, -74, 6, 16, 0, 0, 0, 0, 0, 4, 102, 0, 0, 0, 102, 0, 94, 140, 220, -96, 424, 0, 140, 0, 0, 0, -194, 8, 0, 0, 0, 0, 0, -72, -340, -54, 0, 0, 0, 0, 0, 0, 0, 124, -18, 0, 0, 0, 20, 0, 22, -132, 212, 0, -346, 0, -102, 0, 0, 0, -136, 0, 0, 0, 0, -48, 0, -248, -292, 0, -156, 0, 0, 12, 0, 0, 0, 0, -134, 0, 0, 0, -138, 0, -32, 0, 56, 0, 420, 0, 96, 0, 0, 0, 52, 0, 0, 0, 0, -72, 0, 0, 40, 0, 160, -116, 0, 72, 0, 0, 0, 0, 46, 0, 0, 0, 40, 0, 0, 0, -112, -100, -24, 0, -256, 0, 0, 0, -176, -84, 0, 0, 0, 0, 0, 0, 376, -268, -310, 296, 0, 0, 0, 0, 0, 280, 312, 0, 0, 0, -60, 0, -234, -344, -70, 52, 188, 0, -56, 0, 0, 0, 92, -96, 0, 0, 0, 0, 0, 168, -24, 40, -76, 0, 0, 0, 0, 0, 0, 216, 90, 0, 0, 0, 156, 0, 228, 52, 36, 0, 54, 0, -86, 0, 0, 0, -208, 0, 0, 0, 0, 192, 0, 0, 88, 0, 28, 0, 0, 384, 0, 0, 0, 0, 1048, 0, 0, 0, -130, 0, 116, 0, 32, 0, -6, 0, 350, 0, 0, 0, 144, 0, 0, 0, 0, 264, 0, 0, 274, 0, -192, -240, 0, 4, 0, 0, 0, 0, 244, 0, 0, 0, -44, 0, -36, 0, 524, -132, -204, 0, 122, 0, 0, 0, -228, -440, 0, 0, 0, 0, 0, 0, -368, -110, 378, 120, 0, 0, 0, 0, 0, 348, 30, 0, 0, 0, -744, 0, -62, -232, -202, -208, -312, 0, 226, 0, 0, 0, 184, -164, 0, 0, 0, 0, 0, 800, 646, 148, -162, 0, 0, 0, 0, 0, 0, 152, -558, 0, 0, 0, -100, 0, 254, 100, 80, 0, -540, 0, 56, 0, 0, 0, 118, 0, 0, 0, 0, 344, 0, -60, 92, 0, -116, 0, 0, -300, 0, 0, 0, 0, 12, 0, 0, 0, -680, 0, -460, 0, 366, 0, -100, 0, 102, 0, 0, 0, 136, 0, 0, 0, 0, -232, 0, 0, -270, 0, -636, -304, 0, -16, 0, 0, 0, 0, 220, 0, 0, 0, 16, 0, 208, 0, 20, -164, -414, 0, -28, 0, 0, 0, 120, -60, 0, 0, 0, 0, 0, 0, -96, -20, 60, 104, 0, 0, 0, 0, 0, -104, -84, 0, 0, 0, -286, 0, 60, 64, 96, -60, -162, 0, -100, 0, 0, 0, 222, 64, 0, 0, 0, 0, 0, -224, -86, 48, 36, 0, 0, 0, 0, 0, 0, -60, 1060, 0, 0, 0, 40, 0, -324, -104, -14, 0, 70, 0, 314, 0, 0, 0, 152, 0, 0, 0, 0, -240, 0, 144, 106, 0, 342, 0, 0, -472, 0, 0, 0, 0, -398, 0, 0, 0, -78, 0, 132, 0, -192, 0, -728, 0, -242, 0, 0, 0, 248, 0, 0, 0, 0, 320, 0, 0, 728, 0, 204, 80, 0, -104, 0, 0, 0, 0, 218, 0, 0, 0, -520, 0, -176, 0, -354, -1072, 186, 0, 606, 0, 0, 0, 352, 192, 0, 0, 0, 0, 0, 0, 606, -588, 562, -348, 0, 0, 0, 0, 0, 508, 458, 0, 0, 0, 194, 0, -74, 452, -50, 116, -948, 0, 352, 0, 0, 0, 116, 480, 0, 0, 0, 0, 0, -556, -20, 46, -556, 0, 0, 0, 0, 0, 0, 144, 56, 0, 0, 0, -676, 0, -124, -92, 246, 0, 232, 0, -34, 0, 0, 0, 380, 0, 0, 0, 0, -68, 0, 96, -236, 0, 546, 0, 0, 280, 0, 0, 0, 0, -860, 0, 0, 0, 228, 0, 430, 0, 18, 0, -68, 0, 196, 0, 0, 0, -126, 0, 0, 0, 0, 352, 0, 0, -18, 0, -32, 480, 0, 220, 0, 0, 0, 0, 70, 0, 0, 0, -334, 0, -164, 0, -328, -108, -188, 0, -182, 0, 0, 0, 254, -208, 0, 0, 0, 0, 0, 0, -260, -22, -286, -280, 0, 0, 0, 0, 0, 160, -1136, 0, 0, 0, 298, 0, -176, 472, 192, 488, -22, 0, -458, 0, 0, 0, -512, -244, 0, 0, 0, 0, 0, 256, -122, -18, 172, 0, 0, 0, 0, 0, 0, -128, -572, 0, 0, 0, -126, 0, 4, 220, -968, 0, 508, 0, -412, 0, 0, 0, 70, 0, 0, 0, 0, -84, 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], [0.6437157796405139, -0.765264656861798], [-0.6551886704258506, 1.1348200657210736], [-0.17125999008361084, -0.9852258704462452], [-0.13307709305174711, -0.23049628648919723], [0.4466824023991123, 1.2318943164105163], [-0.7486900067994289, 0.6629202619611737], [-0.8642012957163103, -0.5031462217708192], [-0.3585443877087878, -0.6210170962802946], [-0.26205448629417283, -0.04653490081122601], [0.440174572366105, -0.7624047235379974], [1.2302616922499352, 0.45115955492475307], [0.0, -0.1766909229783042], [0.025365875360494804, 0.9996782344170527], [0.3487624146428456, 0.0], [-0.9413400315931231, 0.33745954560548164], [0.9593787397121462, -0.2821213104115571], [-0.7060431151599429, -0.12537715647246891], [0.7228491369086846, -0.4173371437777177], [-0.20430012285454846, 0.17058578657681256], [-0.2617620051305715, -1.283966287753537], [-0.30009407111954245, -0.8276219940949084], [1.2554452370167888, -0.7248316455444765], [1.1371953263779377, -0.651057267129207], [0.46458097460979325, -0.8046778522540285], [-0.13521531854358634, -0.11373873524038106], [-0.37072045816541566, 0.0], [0.781346835267319, 0.6240970461536772], [-0.9811739997911771, 0.0], [0.2245038696511275, -0.26689554956794936], [1.594246067036036, 0.9204383959577576], [-0.347709568971276, 0.9376022907639515], [0.5767947856476314, 0.9990378742824975], [0.4016697655988367, -0.9157845813310986], [0.25243414832225713, 0.0843507649119445], [-0.5504378009612115, 0.45960258822472255], [-0.5507953130847517, -0.9540054668335969], [0.14593602959890845, -0.8218174015990901], [0.2005124048265563, 0.1157658909024715], [-0.0009679394337640578, 0.2661524260149924], [0.0, -1.5052979793054309], [-1.151074353832717, -0.6261921489177014], [0.0, -0.5355252545525926], [-0.8265251502785292, -0.30310195081488406], [-0.0954280896926081, 0.16528629981683712], [0.2534618690320657, -1.427333436334211], [0.6335175015634448, 1.097284500191982], [0.2337994599959102, -1.2893512275261525], [0.1210734525626578, -0.9926435508703806], [-0.3167334162123749, -0.8735112311424393], [-0.3084171568842707, 1.2735649307188852], [-0.17408046839125021, 0.03026008571712842], [1.1157530051894418, 0.6441802978952581], [-0.23863860875663903, 0.28369926420960534], [-0.2343086101031086, 0.0], [0.9805646991070058, -0.1961960011447405], [0.0, 1.0937382734041796], [-0.631597186238579, 0.7508577842719131], [1.3506527519202678, 0.7797997299028754], [-0.05972904767326991, -0.34360975354543183], [-0.4330756201106745, -0.7501089775510861], [1.730620323225962, -0.6275194497785912], [0.6801234162200898, 0.22726295461203713], [0.49368775903549916, 0.8696392335782159], [-0.040726601602847884, 0.02351351439858287], [1.1358202811904836, 0.20169578041585054], [-1.4643992061934539, -0.8454712758968649], [-0.44225640707119085, -0.8968886610970623], [0.0, 1.8996059285074682], [0.22704650376152027, -0.1388810134974663], [0.0, 0.723897059117812], [-0.002607881218769744, 0.7170840332802195], [-0.44831250945928763, -0.2588333480173964], [-1.084622300605384, -0.19260418659521203], [0.6087763821194726, 1.054431624278892], [-0.5349664867668796, -0.6406965150072814], [0.17585923547053053, 0.8626054404711659], [0.21766454377830122, -0.07892472595806543], [-0.4004328509220213, 0.2311900142721983], [0.20305396708004803, 0.17206724625409747], [0.6014362317938488, -1.041718110979718], [-1.1519513416079283, -0.9689840623398854], [0.0, -0.5319285734775399], [-1.2201674450726847, 0.47778675306288315], [-0.19269924820587114, -0.1835893529628162], [-0.40981855016601676, -0.34472605675150675], [0.6428540883795952, -1.1134559429268323], [-0.7640004918885301, 0.4373989769361809], [-0.8671131424613208, -1.5018840186537177], [0.06505919635720601, 0.17942514366408166], [0.11713199294693898, 0.13228672832602392], [-0.9291304277505529, -1.112762466009224], [-2.089063921985964, 1.2061216177129317], [1.24751825895401, 0.2215307940786401], [-0.1923893237095442, -0.1110760278329154], 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-0.21885519854013136], [-0.3267491836221445, -0.7680599828844331], [0.27468495525974823, 0.3289733056428674], [0.8599653524550072, -0.4965012277336498], [-0.2917395105845083, 1.6428883750729655], [-0.22479069906442498, 0.0661034521229996], [0.126702239693287, 0.00046078893956221086], [-0.7386729400698011, 0.0], [0.8080534645966001, -1.485374131934484], [0.0, 2.067860906411843], [-0.3166088429637122, -0.11610627688123643], [-0.8979081377517351, 1.5552225151155594], [-0.29910206638015124, 1.684349530962524], [-1.0910876113747308, -1.88981917841], [-1.534574366680265, -0.27826603844927467], [-0.09358250312262366, -0.031270554214759334], [-0.4432124790610001, 0.1607079538260168], [-0.7806437545770176, -1.3521146455387238], [-0.5969407807498843, 0.1037651113905722], [-0.04573350315875838, 0.07921275107908127], [-0.5934991588019977, -0.49923222025032316], [-0.8426180491763755, 0.0], [0.8853818522950375, -0.4648644701701866], [-0.6993093935258758, 0.0], [-0.7070042335273259, 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None, -0.3441249442513706, -0.4859210282316647, None, -0.2648150443660756, -0.20429209852946087, -0.3316088074387678, 0.019417380000817944, -0.49049557807656735, -0.36438787351483864, -0.45685785163423415, 0.02586143570098873, -0.05526598663824586, -0.024327104118761232, -0.15461918242069803, -0.32700684555120024, 0.058944195026160134, -0.20833569001958932, -0.3704642860561568, -0.4571548368328044, -0.4163197736283876, 0.028978254570302873, -0.1611156189266585, 0.10993826866538287, -0.49671734254079114, -0.3030318638090261, 0.04588758951711399, -0.4144248061690836, -0.08543305744821078, -0.4435904745806236, -0.2611428707730688, -0.4071249410289096, -0.32842840655596195, -0.0534740591208247, 0.08268095659894127, -0.44417155601487907, 0.0072286793398390675, -0.17053995842285655, -0.3072708443535238, -0.16460586665396476, -0.06850382364917212, -0.2304806403131035, -0.21473779749231015, -0.25193332408547, -0.30023054224464835, 0.2388735167562187, -0.3804528579174203, -0.3677046844506421, 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-0.2497478237857958, -0.40111299499832265, -0.13289238353618846, -0.13474044525900428, -0.09334293271564705, -0.2519871408815816, 0.03862047943696033, -0.48739613953653343, -0.45934041653147645, 0.062094065017406386, -0.03950795405503515, -0.46435275173111035, 0.00010356062261224574, -0.3917820350349434, -0.14781058780092762, 0.021576891272809377, -0.4967216669947342, -0.2771831050793755, -0.264852593674281, -0.2739485008936939, -0.48525551064456535, 0.012615239300565588, 0.1508935409650695, -0.18299906845824038, 0.09907733301319238, -0.0917696763678889, -0.4170715076896332, 0.08149177418563186, -0.4675415073799078, -0.019376505814734546, -0.39923627623742813, -0.21799823424802883, -0.2707898783824425, -0.006115856619366641, 0.07793831716225896, -0.2766373849689835, -0.3963712928101208, -0.12480084753277339, -0.21948902617180788, -0.12341284976441325, -0.44727256645078184, -0.38065236034356337, -0.13134131828251217, -0.2545483349686642, 0.008472997510258581, -0.30488366093747227, -0.24991386423863227, -0.0065085156791593705, 0.13848865856900774, -0.28570874021988346, -0.08476014282291597, -0.2797964254277895, -0.016638982861157097, -0.017633335603287312, 0.05776840881456532, 0.010952238054459135, -0.276757449817962, -0.3542165940878984, -0.4634967427642388, -0.012123367122346676, -0.28381841954589965, -0.3102075041592519, 0.2607901367126173, -0.44077901441878736, -0.30685054523926225, -0.3158642616074751, -0.47951807868140556, 0.1769224450748595, -0.1472480805019027, -0.15687347207871905, -0.49025230111713336], 'char_orbit_index': 26, 'conrey_index': 781, 'dual_conrey_index': 373, 'dual_embedding_index': 101, 'dual_embedding_m': 101, 'embedding_index': 101, 'embedding_m': 237, 'hecke_orbit': 3, 'hecke_orbit_code': 9008917275214776, 'label': '952.2.z.c.781.101', 'level': 952, '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': 3808, 'analytic_conductor': 7.601758272425893, 'char_conductor': 952, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 26, 'char_orbit_label': 'z', 'char_order': 6, 'char_parity': 1, 'char_values': [952, 6, [239, 477, 409, 785], [6, 3, 2, 3]], 'conrey_index': 373, 'cusp_dim': 280, 'dim': 280, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 1718020473784, 'hecke_orbit_dims': [4, 4, 272], 'label': '952.2.z', 'level': 952, '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, 7, 17], 'level_radical': 238, 'mf_dim': 296, 'mf_new_dim': 296, 'num_forms': 3, 'prim_orbit_index': 26, 'relative_dim': 140, 'sturm_bound': 288, 'trace_bound': 3, 'trace_display': [-2, 0, 0, 0], 'traces': [280, -2, 0, -2, 0, 0, 0, -8, -136, 0, 0, 0, 0, 0, 8, -10, -2, 10, 0, 0, 0, 0, 0, 0, -128, -24, 0, 0, 0, 22, 0, 28, 20, -48, 0, 40, 0, -30, 0, 0, 0, 20, 0, 0, 0, 0, 36, 0, -8, 40, 0, -6, 0, 0, 88, 0, 0, 0, 0, -6, 0, 0, 0, 40, 0, 0, 0, 32, 0, 26, 0, -44, 0, 0, 0, -100, 0, 0, 0, 0, -124, 0, 0, -98, 0, 18, 32, 0, -4, 0, 0, 0, 0, 54, 0, 0, 0, 58, 0, -30, 0, 4, 4, 100, 0, 4, 0, 0, 0, -26, 56, 0, 0, 0, 0, 0, 0, -76, -74, -12, -104, 0, 0, 0, 0, 0, -144, -2, 0, 0, 0, 112, 0, 176, 4, -88, -4, 0, 0, -60, 0, 0, 0, -90, -24, 0, 0, 0, 0, 0, 44, 112, 40, 70, 0, 0, 0, 0, 0, 0, -36, -44, 0, 0, 0, -26, 0, -218, -200, 2, 0, 114, 0, 76, 0, 0, 0, -68, 0, 0, 0, 0, 88, 0, 36, -68, 0, 76, 0, 0, -44, 0, 0, 0, 0, 22, 0, 0, 0, 24, 0, 132, 0, -40, 0, 26, 0, -38, 0, 0, 0, -108, 0, 0, 0, 0, -4, 0, 0, -24, 0, -32, 96, 0, 288, 0, 0, 0, 0, -304, 0, 0, 0, 34, 0, 4, 0, 6, 96, -36, 0, -84, 0, 0, 0, 44, 8, 0, 0, 0, 0, 0, 0, -190, -50, -58, -36, 0, 0, 0, 0, 0, -44, 198, 0, 0, 0, -2, 0, 46, 132, 252, 64, 352, 0, 188, 0, 0, 0, -98, -48, 0, 0, 0, 0, 0, -72, -308, 6, -24, 0, 0, 0, 0, 0, 0, 28, -90, 0, 0, 0, 180, 0, 22, -12, 208, 0, -154, 0, -198, 0, 0, 0, -40, 0, 0, 0, 0, -96, 0, -56, -352, 0, -156, 0, 0, -76, 0, 0, 0, 0, -134, 0, 0, 0, -138, 0, -44, 0, -40, 0, 396, 0, 112, 0, 0, 0, 52, 0, 0, 0, 0, -84, 0, 0, 40, 0, 104, -44, 0, 32, 0, 0, 0, 0, -34, 0, 0, 0, 304, 0, -256, 0, -208, -76, -8, 0, -320, 0, 0, 0, -184, -140, 0, 0, 0, 0, 0, 0, 280, -172, -206, -24, 0, 0, 0, 0, 0, 304, 184, 0, 0, 0, -60, 0, -266, 184, -6, -4, 188, 0, -56, 0, 0, 0, 156, -32, 0, 0, 0, 0, 0, 176, -40, 56, -124, 0, 0, 0, 0, 0, 0, 16, 122, 0, 0, 0, 252, 0, -60, 8, 4, 0, 54, 0, -86, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 28, 24, 0, 100, 0, 0, 240, 0, 0, 0, 0, 984, 0, 0, 0, -58, 0, 180, 0, 32, 0, 2, 0, 254, 0, 0, 0, 144, 0, 0, 0, 0, 8, 0, 0, 274, 0, -144, -168, 0, 16, 0, 0, 0, 0, 324, 0, 0, 0, 28, 0, -36, 0, 572, -372, -332, 0, 174, 0, 0, 0, -8, -232, 0, 0, 0, 0, 0, 0, -464, -238, 186, 64, 0, 0, 0, 0, 0, 204, 134, 0, 0, 0, -744, 0, -54, -256, -186, 56, -280, 0, 226, 0, 0, 0, 280, -36, 0, 0, 0, 0, 0, 768, 646, 244, -190, 0, 0, 0, 0, 0, 0, 92, -486, 0, 0, 0, -100, 0, 254, 60, 20, 0, -540, 0, 24, 0, 0, 0, 62, 0, 0, 0, 0, 160, 0, -84, -100, 0, -404, 0, 0, -276, 0, 0, 0, 0, 12, 0, 0, 0, -584, 0, -220, 0, 366, 0, -72, 0, 342, 0, 0, 0, 328, 0, 0, 0, 0, -116, 0, 0, -174, 0, -624, -80, 0, -80, 0, 0, 0, 0, 124, 0, 0, 0, 112, 0, 208, 0, 8, -132, -326, 0, 100, 0, 0, 0, 208, 180, 0, 0, 0, 0, 0, 0, 36, -148, 60, -76, 0, 0, 0, 0, 0, 376, -212, 0, 0, 0, -286, 0, 156, 72, -96, -108, 30, 0, -124, 0, 0, 0, 222, 96, 0, 0, 0, 0, 0, -128, -54, 48, 116, 0, 0, 0, 0, 0, 0, -12, 1036, 0, 0, 0, 76, 0, -188, -296, 26, 0, 14, 0, 242, 0, 0, 0, 72, 0, 0, 0, 0, -128, 0, 248, 250, 0, 342, 0, 0, -160, 0, 0, 0, 0, -398, 0, 0, 0, -206, 0, 36, 0, -576, 0, -680, 0, -274, 0, 0, 0, 88, 0, 0, 0, 0, 156, 0, 0, 728, 0, 260, -64, 0, 16, 0, 0, 0, 0, 214, 0, 0, 0, -600, 0, 16, 0, -306, -1008, 362, 0, 446, 0, 0, 0, 160, 168, 0, 0, 0, 0, 0, 0, 510, -572, 498, -280, 0, 0, 0, 0, 0, 340, 458, 0, 0, 0, 114, 0, 190, 644, -50, 104, -1060, 0, 352, 0, 0, 0, 148, 96, 0, 0, 0, 0, 0, -476, 236, 54, -428, 0, 0, 0, 0, 0, 0, -56, -16, 0, 0, 0, -660, 0, -124, -76, 230, 0, 184, 0, 166, 0, 0, 0, 572, 0, 0, 0, 0, 108, 0, -60, -336, 0, 546, 0, 0, 72, 0, 0, 0, 0, -476, 0, 0, 0, -60, 0, 438, 0, -14, 0, -176, 0, -156, 0, 0, 0, -126, 0, 0, 0, 0, 160, 0, 0, -18, 0, -32, 520, 0, 184, 0, 0, 0, 0, -170, 0, 0, 0, -362, 0, -420, 0, -200, -68, -260, 0, -22, 0, 0, 0, 182, -192, 0, 0, 0, 0, 0, 0, -128, -94, -318, 16, 0, 0, 0, 0, 0, 160, -1136, 0, 0, 0, 170, 0, -128, 424, 32, 560, -30, 0, -458, 0, 0, 0, -512, -112, 0, 0, 0, 0, 0, -64, -322, 78, 196, 0, 0, 0, 0, 0, 0, -164, -700, 0, 0, 0, -186, 0, 4, -56, -904, 0, 508, 0, -484, 0, 0, 0, 22, 0, 0, 0, 0, -260, 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: 41755409
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 781, 'source_dim': 272, 'source_embedding_index': 101, 'source_hecke_orbit_code': 9008917275214776, 'source_is_minimal': True, 'source_label': '952.2.z.c.781.101', 'source_level': 952, 'target_conrey_index': 781, 'target_dim': 272, 'target_embedding_index': 101, 'target_hecke_orbit_code': 9008917275214776, 'target_is_minimal': True, 'target_label': '952.2.z.c.781.101', 'target_level': 952, 'twist_class_label': '952.2.z.c.373.7', 'twist_class_level': 952, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41755410
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 781, 'source_dim': 272, 'source_embedding_index': 101, 'source_hecke_orbit_code': 9008917275214776, 'source_is_minimal': True, 'source_label': '952.2.z.c.781.101', 'source_level': 952, 'target_conrey_index': 373, 'target_dim': 272, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9008917275214776, 'target_is_minimal': True, 'target_label': '952.2.z.c.373.7', 'target_level': 952, 'twist_class_label': '952.2.z.c.373.7', 'twist_class_level': 952, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41755411
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 781, 'source_dim': 272, 'source_embedding_index': 101, 'source_hecke_orbit_code': 9008917275214776, 'source_is_minimal': True, 'source_label': '952.2.z.c.781.101', 'source_level': 952, 'target_conrey_index': 781, 'target_dim': 272, 'target_embedding_index': 8, 'target_hecke_orbit_code': 9008917275214776, 'target_is_minimal': True, 'target_label': '952.2.z.c.781.8', 'target_level': 952, 'twist_class_label': '952.2.z.c.373.7', 'twist_class_level': 952, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41755412
    {'conductor': 17, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 781, 'source_dim': 272, 'source_embedding_index': 101, 'source_hecke_orbit_code': 9008917275214776, 'source_is_minimal': True, 'source_label': '952.2.z.c.781.101', 'source_level': 952, 'target_conrey_index': 781, 'target_dim': 272, 'target_embedding_index': 102, 'target_hecke_orbit_code': 9008917275214776, 'target_is_minimal': True, 'target_label': '952.2.z.c.781.102', 'target_level': 952, 'twist_class_label': '952.2.z.c.373.7', 'twist_class_level': 952, 'twisting_char_label': '17.16', 'twisting_conrey_index': 16, 'weight': 2}
  • id: 41755413
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 781, 'source_dim': 272, 'source_embedding_index': 101, 'source_hecke_orbit_code': 9008917275214776, 'source_is_minimal': True, 'source_label': '952.2.z.c.781.101', 'source_level': 952, 'target_conrey_index': 373, 'target_dim': 272, 'target_embedding_index': 102, 'target_hecke_orbit_code': 9008917275214776, 'target_is_minimal': True, 'target_label': '952.2.z.c.373.102', 'target_level': 952, 'twist_class_label': '952.2.z.c.373.7', 'twist_class_level': 952, 'twisting_char_label': '56.37', 'twisting_conrey_index': 37, 'weight': 2}
  • id: 41755414
    {'conductor': 119, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 781, 'source_dim': 272, 'source_embedding_index': 101, 'source_hecke_orbit_code': 9008917275214776, 'source_is_minimal': True, 'source_label': '952.2.z.c.781.101', 'source_level': 952, 'target_conrey_index': 373, 'target_dim': 272, 'target_embedding_index': 8, 'target_hecke_orbit_code': 9008917275214776, 'target_is_minimal': True, 'target_label': '952.2.z.c.373.8', 'target_level': 952, 'twist_class_label': '952.2.z.c.373.7', 'twist_class_level': 952, 'twisting_char_label': '119.16', 'twisting_conrey_index': 16, 'weight': 2}
  • id: 41755415
    {'conductor': 136, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 781, 'source_dim': 272, 'source_embedding_index': 101, 'source_hecke_orbit_code': 9008917275214776, 'source_is_minimal': True, 'source_label': '952.2.z.c.781.101', 'source_level': 952, 'target_conrey_index': 781, 'target_dim': 272, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9008917275214776, 'target_is_minimal': True, 'target_label': '952.2.z.c.781.7', 'target_level': 952, 'twist_class_label': '952.2.z.c.373.7', 'twist_class_level': 952, 'twisting_char_label': '136.101', 'twisting_conrey_index': 101, 'weight': 2}
  • id: 41755416
    {'conductor': 952, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 781, 'source_dim': 272, 'source_embedding_index': 101, 'source_hecke_orbit_code': 9008917275214776, 'source_is_minimal': True, 'source_label': '952.2.z.c.781.101', 'source_level': 952, 'target_conrey_index': 373, 'target_dim': 272, 'target_embedding_index': 101, 'target_hecke_orbit_code': 9008917275214776, 'target_is_minimal': True, 'target_label': '952.2.z.c.373.101', 'target_level': 952, 'twist_class_label': '952.2.z.c.373.7', 'twist_class_level': 952, 'twisting_char_label': '952.373', 'twisting_conrey_index': 373, 'weight': 2}
• hecke_orbit_code 9008917275214776 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': 26, 'hecke_orbit': 3, 'label': '952.2.z.c', 'level': 952, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32042287
    {'hecke_orbit_code': 9008917275214776, 'n': 1, 'trace_an': 272}
  • id: 32042288
    {'hecke_orbit_code': 9008917275214776, 'n': 2, 'trace_an': -6}
  • id: 32042289
    {'hecke_orbit_code': 9008917275214776, 'n': 3, 'trace_an': 0}
  • id: 32042290
    {'hecke_orbit_code': 9008917275214776, 'n': 4, 'trace_an': -2}
  • id: 32042291
    {'hecke_orbit_code': 9008917275214776, 'n': 5, 'trace_an': 0}
  • id: 32042292
    {'hecke_orbit_code': 9008917275214776, 'n': 6, 'trace_an': 0}
  • id: 32042293
    {'hecke_orbit_code': 9008917275214776, 'n': 7, 'trace_an': 0}
  • id: 32042294
    {'hecke_orbit_code': 9008917275214776, 'n': 8, 'trace_an': -24}
  • id: 32042295
    {'hecke_orbit_code': 9008917275214776, 'n': 9, 'trace_an': -132}
  • id: 32042296
    {'hecke_orbit_code': 9008917275214776, 'n': 10, 'trace_an': 0}
  • id: 32042297
    {'hecke_orbit_code': 9008917275214776, 'n': 11, 'trace_an': 0}
  • id: 32042298
    {'hecke_orbit_code': 9008917275214776, 'n': 12, 'trace_an': 0}
  • id: 32042299
    {'hecke_orbit_code': 9008917275214776, 'n': 13, 'trace_an': 0}
  • id: 32042300
    {'hecke_orbit_code': 9008917275214776, 'n': 14, 'trace_an': 0}
  • id: 32042301
    {'hecke_orbit_code': 9008917275214776, 'n': 15, 'trace_an': -40}
  • id: 32042302
    {'hecke_orbit_code': 9008917275214776, 'n': 16, 'trace_an': -26}
  • id: 32042303
    {'hecke_orbit_code': 9008917275214776, 'n': 17, 'trace_an': -6}
  • id: 32042304
    {'hecke_orbit_code': 9008917275214776, 'n': 18, 'trace_an': 6}
  • id: 32042305
    {'hecke_orbit_code': 9008917275214776, 'n': 19, 'trace_an': 0}
  • id: 32042306
    {'hecke_orbit_code': 9008917275214776, 'n': 20, 'trace_an': 0}
  • id: 32042307
    {'hecke_orbit_code': 9008917275214776, 'n': 21, 'trace_an': 0}
  • id: 32042308
    {'hecke_orbit_code': 9008917275214776, 'n': 22, 'trace_an': 0}
  • id: 32042309
    {'hecke_orbit_code': 9008917275214776, 'n': 23, 'trace_an': 0}
  • id: 32042310
    {'hecke_orbit_code': 9008917275214776, 'n': 24, 'trace_an': 0}
  • id: 32042311
    {'hecke_orbit_code': 9008917275214776, 'n': 25, 'trace_an': -112}
  • id: 32042312
    {'hecke_orbit_code': 9008917275214776, 'n': 26, 'trace_an': -8}
  • id: 32042313
    {'hecke_orbit_code': 9008917275214776, 'n': 27, 'trace_an': 0}
  • id: 32042314
    {'hecke_orbit_code': 9008917275214776, 'n': 28, 'trace_an': 0}
  • id: 32042315
    {'hecke_orbit_code': 9008917275214776, 'n': 29, 'trace_an': 0}
  • id: 32042316
    {'hecke_orbit_code': 9008917275214776, 'n': 30, 'trace_an': -2}
  • id: 32042317
    {'hecke_orbit_code': 9008917275214776, 'n': 31, 'trace_an': 0}
  • id: 32042318
    {'hecke_orbit_code': 9008917275214776, 'n': 32, 'trace_an': 44}
  • id: 32042319
    {'hecke_orbit_code': 9008917275214776, 'n': 33, 'trace_an': -28}
  • id: 32042320
    {'hecke_orbit_code': 9008917275214776, 'n': 34, 'trace_an': -56}
  • id: 32042321
    {'hecke_orbit_code': 9008917275214776, 'n': 35, 'trace_an': 0}
  • id: 32042322
    {'hecke_orbit_code': 9008917275214776, 'n': 36, 'trace_an': 40}
  • id: 32042323
    {'hecke_orbit_code': 9008917275214776, 'n': 37, 'trace_an': 0}
  • id: 32042324
    {'hecke_orbit_code': 9008917275214776, 'n': 38, 'trace_an': -42}
  • id: 32042325
    {'hecke_orbit_code': 9008917275214776, 'n': 39, 'trace_an': 0}
  • id: 32042326
    {'hecke_orbit_code': 9008917275214776, 'n': 40, 'trace_an': 0}
  • id: 32042327
    {'hecke_orbit_code': 9008917275214776, 'n': 41, 'trace_an': 0}
  • id: 32042328
    {'hecke_orbit_code': 9008917275214776, 'n': 42, 'trace_an': 12}
  • id: 32042329
    {'hecke_orbit_code': 9008917275214776, 'n': 43, 'trace_an': 0}
  • id: 32042330
    {'hecke_orbit_code': 9008917275214776, 'n': 44, 'trace_an': 0}
  • id: 32042331
    {'hecke_orbit_code': 9008917275214776, 'n': 45, 'trace_an': 0}
  • id: 32042332
    {'hecke_orbit_code': 9008917275214776, 'n': 46, 'trace_an': 0}
  • id: 32042333
    {'hecke_orbit_code': 9008917275214776, 'n': 47, 'trace_an': 28}
  • id: 32042334
    {'hecke_orbit_code': 9008917275214776, 'n': 48, 'trace_an': 0}
  • id: 32042335
    {'hecke_orbit_code': 9008917275214776, 'n': 49, 'trace_an': -60}
  • id: 32042336
    {'hecke_orbit_code': 9008917275214776, 'n': 50, 'trace_an': 72}
  • id: 32042337
    {'hecke_orbit_code': 9008917275214776, 'n': 51, 'trace_an': 0}
  • id: 32042338
    {'hecke_orbit_code': 9008917275214776, 'n': 52, 'trace_an': -38}
  • id: 32042339
    {'hecke_orbit_code': 9008917275214776, 'n': 53, 'trace_an': 0}
  • id: 32042340
    {'hecke_orbit_code': 9008917275214776, 'n': 54, 'trace_an': 0}
  • id: 32042341
    {'hecke_orbit_code': 9008917275214776, 'n': 55, 'trace_an': 232}
  • id: 32042342
    {'hecke_orbit_code': 9008917275214776, 'n': 56, 'trace_an': 0}
  • id: 32042343
    {'hecke_orbit_code': 9008917275214776, 'n': 57, 'trace_an': 0}
  • id: 32042344
    {'hecke_orbit_code': 9008917275214776, 'n': 58, 'trace_an': 0}
  • id: 32042345
    {'hecke_orbit_code': 9008917275214776, 'n': 59, 'trace_an': 0}
  • id: 32042346
    {'hecke_orbit_code': 9008917275214776, 'n': 60, 'trace_an': -6}
  • id: 32042347
    {'hecke_orbit_code': 9008917275214776, 'n': 61, 'trace_an': 0}
  • id: 32042348
    {'hecke_orbit_code': 9008917275214776, 'n': 62, 'trace_an': 0}
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  • id: 32042350
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  • id: 32042352
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  • id: 32042353
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  • id: 32042354
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  • id: 32042355
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  • id: 32042356
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  • id: 32042358
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  • id: 32042359
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  • id: 32042360
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  • id: 32042361
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  • id: 32042362
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  • id: 32042363
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  • id: 32042364
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  • id: 32042365
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  • id: 32042367
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  • id: 32042368
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  • id: 32042369
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  • id: 32042370
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  • id: 32042371
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  • id: 32042372
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  • id: 32042373
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  • id: 32042374
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  • id: 32042375
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  • id: 32042376
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  • id: 32042380
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  • id: 32042384
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  • id: 32042386
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  • id: 32042388
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  • id: 32042389
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  • id: 32042391
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  • id: 32042392
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  • id: 32042393
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  • id: 32042394
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  • id: 32042395
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  • id: 32042396
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  • id: 32042397
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  • id: 32042400
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  • id: 32042401
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  • id: 32042403
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  • id: 32042404
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  • id: 32042405
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  • id: 32042406
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  • id: 32042407
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  • id: 32042408
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  • id: 32042409
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  • id: 32042410
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  • id: 32042411
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  • id: 32042412
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  • id: 32042413
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  • id: 32042414
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  • id: 32042415
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  • id: 32042416
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  • id: 32042417
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  • id: 32042418
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  • id: 32042419
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  • id: 32042420
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  • id: 32042421
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  • id: 32042422
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  • id: 32042423
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  • id: 32042424
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  • id: 32042425
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  • id: 32042426
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  • id: 32042427
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  • id: 32042428
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  • id: 32042429
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  • id: 32042430
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  • id: 32042431
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  • id: 32042432
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  • id: 32042433
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  • id: 32042434
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  • id: 32042435
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  • id: 32042436
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  • id: 32042437
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  • id: 32042438
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  • id: 32042439
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  • id: 32042440
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  • id: 32042441
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  • id: 32042442
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  • id: 32042443
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  • id: 32042444
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  • id: 32042445
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  • id: 32042446
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  • id: 32042447
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  • id: 32042448
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  • id: 32042449
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  • id: 32042450
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  • id: 32042451
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  • id: 32042452
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  • id: 32042453
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  • id: 32042454
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  • id: 32042455
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  • id: 32042456
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  • id: 32042457
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  • id: 32042458
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  • id: 32042459
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  • id: 32042460
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  • id: 32042461
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  • id: 32042462
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  • id: 32042463
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  • id: 32042464
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  • id: 32042465
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  • id: 32042466
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  • id: 32042467
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  • id: 32042468
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  • id: 32042469
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  • id: 32042470
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  • id: 32042471
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  • id: 32042472
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  • id: 32042473
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  • id: 32042474
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  • id: 32042475
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  • id: 32042476
    {'hecke_orbit_code': 9008917275214776, 'n': 569, 'trace_an': 152}
  • id: 32042477
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  • id: 32042478
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  • id: 32042479
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  • id: 32042480
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  • id: 32042481
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  • id: 32042482
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  • id: 32042483
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  • id: 32042484
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  • id: 32042485
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  • id: 32042486
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  • id: 32042487
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  • id: 32042488
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  • id: 32042489
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  • id: 32042490
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  • id: 32042491
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  • id: 32042492
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  • id: 32042493
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  • id: 32042494
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  • id: 32042495
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  • id: 32042496
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  • id: 32042497
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  • id: 32042498
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  • id: 32042499
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  • id: 32042500
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  • id: 32042501
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  • id: 32042502
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  • id: 32042503
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  • id: 32042504
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  • id: 32042505
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  • id: 32042506
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  • id: 32042507
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  • id: 32042508
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  • id: 32042509
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  • id: 32042510
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  • id: 32042511
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  • id: 32042512
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  • id: 32042513
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  • id: 32042514
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  • id: 32042515
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  • id: 32042516
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  • id: 32042517
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  • id: 32042518
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  • id: 32042519
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  • id: 32042520
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  • id: 32042521
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  • id: 32042522
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  • id: 32042523
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  • id: 32042524
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  • id: 32042525
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  • id: 32042526
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  • id: 32042527
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  • id: 32042528
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  • id: 32042529
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  • id: 32042530
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  • id: 32042531
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  • id: 32042532
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  • id: 32042533
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  • id: 32042534
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  • id: 32042535
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  • id: 32042536
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  • id: 32042537
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  • id: 32042538
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  • id: 32042539
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  • id: 32042540
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  • id: 32042541
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  • id: 32042542
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  • id: 32042543
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  • id: 32042544
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