Embedded newform data - 930.2.bg.h.421.3

Formats: - HTML - YAML - JSON - 2024-06-04T01:14:00.670932

• 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': 3720, 'analytic_conductor': 7.426087387979075, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 31, 'char_degree': 8, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 33, 'char_orbit_label': 'bg', 'char_order': 15, 'char_parity': 1, 'char_values': [930, 15, [311, 187, 871], [15, 15, 8]], 'cm_discs': [], 'conrey_index': 121, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [20736, -466560, 3621888, -11632896, 21707280, -23452272, 16823160, -7618110, -3575069, 2713787, 1361997, 2001358, 1868700, 552018, 84038, -16977, -24475, 2347, 7892, 2264, 163, 40, 40, 11, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31527396448404386, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 31, 7, 1, 15, 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': '930.2.bg.h', 'level': 930, '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, 31], 'level_radical': 930, 'minimal_twist': '930.2.bg.h', 'prim_orbit_index': 7, 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c15', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '930.2.bg', 'trace_display': [6, -3, -12, -11], 'traces': [24, 6, -3, -6, -12, -12, -11, 6, 3, -3, -5, -3, -13, -4, 6, -6, 31, -3, -3, 3, -4, 5, -9, 3, -12, 3, 6, 4, 11, 24, 17, -24, 10, 9, 7, -12, 8, -2, -1, -3, 12, 4, -7, -10, 3, -6, -46, -3, 20, -3, -31, 17, 48, -6, -5, 1, -2, 14, 12, 6, -4, 13, 2, -6, 17, 10, -33, 1, -12, -7, -35, -3, 19, 7, -3, 2, 26, -4, -12, 3, 3, -12, 0, 11, -2, -48, 3, 0, 21, -3, 72, 6, 19, -14, 6, 3, -35, -5, 0, 3, -29, -29, -17, 8, -4, 32, 39, 6, 49, 5, 7, 4, -52, -3, 12, -14, 7, -17, 24, -6, -30, 9, 24, -3, 24, 8, 29, 6, -23, 3, -42, -10, -55, -52, -3, -6, -74, -3, -5, -8, 27, 20, 34, 3, -13, 56, -30, -57, -59, -12, 103, 3, 3, -6, -13, -6, 14, 7, 6, 12, 40, -3, -54, -33, -20, 20, 59, 4, 20, -3, 6, -27, 25, 2, 4, 20, 43, -21, -55, -12, 40, 18, -12, -6, -16, -4, 64, -46, -4, 4, -1, 12, -22, 35, -7, 5, -99, 10, -128, -3, 14, -11, 108, -6, -3, -13, -3, 7, 2, -11, -61, -17, 20, 126, 44, 24, 134, 46, 63, 20, -52, 8, 9, 11, -6, -68, -7, -2, -41, 3, -22, -11, -53, 8, 8, -3, 12, 46, 30, 6, -156, -30, 12, 11, 5, -9, -142, 3, -10, 6, 60, 7, -43, -9, 29, -6, -63, -37, -47, -13, 2, -18, 8, -10, -42, -35, -47, 32, 95, 3, 121, -29, -54, 14, 10, 3, 8, 90, -3, -2, -24, 38, -66, 5, -2, -19, 28, -3, -50, -7, -5, 54, -62, -25, -9, -48, 10, -1, -149, -3, 77, -103, -67, 2, 2, 2, 23, 26, 16, -2, 8, -4, 180, 56, -1, 38, 88, -6, -91, 3, -39, 60, -95, 3, -4, -6, 17, 3, 176, -5, -112, 25, 9, -109, -33, 1, 110, 25, 41, -2, 115, 4, -19, 37, 9, 20, 19, -7, -63, 11, -17, 5, -8, -3, 55, -19, -47, -5, 14, -3, -108, 65, 105, -18, -56, 2, 118, -9, 12, 1, 114, -11, 156, 16, -3, -39, -98, -1, -19, -4, -4, -209, -116, 3, 2, -38, 44, -10, 69, -13, -100, 45, -113, 24, -6, -5, -134, -22, 55, 3, 32, 66, 36, 36, -6, 152, 36, 1, 107, 33, -63, -47, -22, 3, 0, 13, 100, 8, -77, -4, 50, 61, -27, -43, -29, -20, -93, -51, 46, 21, 74, 6, 76, 51, -6, 49, 97, 37, 119, 0, 15, 52, -126, -8, -3, 51, -1, 4, -2, 6, -163, -32, -106, -48, -6, 2, -33, -219, -1, -3, 83, -28, 136, 6, -2, -102, -45, 17, -144, 7, 42, 43, 8, 18, -3, 19, -32, 85, -74, -6, 60, -114, 60, 90, 10, 3, -128, -11, -57, -5, -1, -21, -63, -33, 0, 2, 274, 0, 92, -6, 36, 40, 165, -7, 67, -127, -20, -16, -231, 31, 41, 6, -2, -17, 43, 27, -19, 17, 75, -7, -168, 3, 142, 113, 8, 122, 16, 0, 29, -43, 26, -35, 28, -18, -108, 13, -90, 115, 13, -3, 34, 139, -40, -31, -47, -66, -105, 151, -43, -10, -147, -3, 237, 42, -8, -5, 44, -17, 154, -8, 82, -56, 45, 7, 68, 66, -11, 5, -88, -3, -51, -26, 13, 92, -3, 3, -21, 95, -103, 7, -21, 25, -145, 26, 1, -28, -5, 10, -52, 34, 177, 8, -76, 0, 24, 6, 39, -151, -100, 3, -53, -17, 32, -77, -60, -38, -37, 3, -108, -12, 31, -2, -163, 57, -12, 29, 101, -26, 30, -3, -6, 72, 59, -1, -12, 60, 121, -56, -173, -4, -264, 37, 61, -28, -13, 11, -210, -144, -20, -3, -24, 69, 5, -215, -23, -5, 16, -3, 183, -6, -115, 96, 4, -2, 24, 12, -26, 79, 23, 5, 64, 62, -111, 0, 110, 1, -325, -86, 51, 38, -154, 4, -1, -110, -3, -5, 74, -16, 97, -3, 46, 35, 336, 6, 151, 34, -19, 23, 35, -9, 225, -80, 22, -29, -20, 7, 192, -57, -14, 4, 29, -8, -254, -5, -39, -132, 75, -17, 304, 5, 44, 4, -192, -48, -53, 90, -60, -69, 73, 3, -192, -102, -24, 90, 2, 90, 129, -72, -6, -19, 53, 3, -15, 82, -15, 9, -87, -12, 222, 9, -156, -14, 442, 6, 118, 59, 0, -16, -29, -12, 202, 39, 40, -187, -89, -4, -71, -56, 74, -6, 40, -16, -235, -21, -9, 26, -279, -3, -169, 3, 9, 103, 127, 46, -4, -90, 91, 56, -15, 3, 149, 5, 14, 15, 68, 18, -75, 66, 34, -44, -233, 5, 40, 104, 42, 67, -35, -55, -21, 12, 2, 108, 15, 14, -80, -171, 20, -11, -97, 6, 8, -17, 113, -36, 57, 9, -83, -12, -66, 12, -128, -77, -315, -43, 10, -18, -145, 12, 166, -25, 34, -3, -60, 25, -13, 12, 3, -218, -21, 4, -193, -40, -32, -66, -40, 12, -56, -42, -83, -6, -69, -25, 217, -12, -3, -69, -173, 19, -42, -21, -151, -54, 131, -6, -80, 4, 70, -21, 268, 11, 410, 26, -45, 123, -11, -37, 240, -54, 62, -10, -77, 45, 21, 3, -17, -39, 87, 48, -200, 18, 10, -6, -106, -59, 50, -4, 17, -8, 49, 24, 216, 43, 94, 57, 40, -14, 291, -12, -73, -24, 113, 3, 103, 28, 9, -201, 83, 6, -257, 3, 47, -83, -84, 3, 8, 174, -17, -11, 156, 17, 44, -53, 69, -45, -32, 3, 150, 144, 0, 38, -241, -82, 118, 17, 8, 17, -100, 37, -194, -2, -53, -4, -118, -48, -1, 35, -47, 39, 256, -24, 125, 140, 57, 24, -16, 40, 55, 105, -130, -25, 46, -3, -317, -237, 8, -9, -293, -3, 19, 20, -17, 16, 119, 21, -24, 68, -16, 38, 275, 10, 48, -17, 156, 201, 67, 5, 96, 63, 57, 6], '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], [0.5720614028176843, -0.4156269377774534], [-0.5274357158869155, 0.234829510369098], [0.15450849718747373, -0.47552825814757677], [-0.22360679774997896, -0.3872983346207417], [-0.2041241452319315, 0.3535533905932738], [0.9711111564281452, 1.078528203619348], [-0.10925400611220527, -0.3362492559819787], [0.22304353545295275, -0.2477149418257981], [-0.2888884392251495, -0.12862141999704826], [-0.5664206097118017, 0.12039641725937812], [0.03017476820277882, 0.2870937420029247], [0.0006031880253960862, -0.005738950708041232], [1.0038005850151157, 0.21336440095316975], [0.20888728973419673, 0.15176549955167157], [-0.20225424859373686, -0.14694631307311828], [1.7245695967226269, 0.3665685838400182], [0.02463759506785557, -0.23441105875113472], [0.18676502064073838, 1.7769504736763888], [-0.21872045272691126, 0.04649046739854287], [-0.7654689579716434, -0.34080873780220994], [-0.2739873743516895, 0.3042938068601774], [-0.2730482482662843, -0.8403560985436848], [0.13658571307152598, 0.151693802284106], [-0.1, 0.17320508075688773], [-0.0020402019208680114, -0.003533733384643014], [-0.05947034829551499, 0.18303091189918488], [0.662915563411846, -0.29514902476842375], [0.7181306696478721, -0.5217524721641477], [0.18257418583505536, 0.0], [0.18157584220450398, -0.9833769437645592], [-0.1767766952966369, 0.0], [0.27047782806123394, -0.19651364496900825], [1.1389154807447186, -0.5070778421695105], [0.20056512115509723, -0.6172759715106029], [-0.08333333333333333, -0.14433756729740643], [-0.030603872667945203, 0.05300746236924958], [0.8453895436613273, 0.9389002070960105], [0.001029532076812511, 0.003168573923799714], [-0.10579883841117695, 0.11750151399384465], [1.6727944214388877, 0.7447760610486893], [-0.5795445379711809, 0.12318599432579579], [0.1269361819741894, 1.2077170977299572], [-0.030264898596022136, 0.28795127541264404], [-0.14581363515127418, -0.030993644932361914], [-0.5054749958204415, -0.36724908130688283], [0.20268914727468995, 0.14726228546020415], [0.1411834451477123, 0.0300094676653259], [-0.11563774459551489, 1.1002196467460368], [0.014782557040713342, 0.14064663525068083], [-0.995680720904053, 0.21163847055649443], [-0.0026358355584642206, -0.0011735496003845163], [1.1669652985180397, -1.2960462649055198], [0.04205188655928448, 0.12942239897067118], [0.1732848306161077, 0.19245230151230608], [0.25655652180255445, -0.4443689307751767], [-0.5157869520478455, -0.8933692068279606], [0.19396045600176404, -0.5969489022996343], [-0.998281886824395, 0.44446373203815026], [0.10444364486709837, -0.07588274977583578], [-0.1795916171359723, 0.0], [-0.30484541680850374, -0.6380198052183409], [0.4837676168645882, 0.0], [-0.10112712429686843, 0.07347315653655914], [-0.0023575629944948473, 0.0010496546725709966], [0.07305356126183533, -0.22483574282757443], [-0.3160616058571564, -0.547434759666404], [0.4407743768498885, -0.763443615378518], [0.34135580945269484, 0.3791140339878122], [-0.14182095723827073, -0.4364800253186614], [-0.1801235227136214, 0.20004743854086832], [-0.1076623646702085, -0.047934373079325125], [0.3274491774520626, -0.06960147128088735], [0.00452403493380628, 0.043043317163867695], [0.012069907281111528, -0.11483749680116989], [0.8738469462282327, 0.18574190231612184], [-0.6799083049509255, -0.49398229869088517], [0.0019059002411775342, 0.0013847175793511527], [1.5842869314868255, 0.33675058285558956], [-0.011686637472503147, 0.11119092815776963], [-0.011614273696405941, -0.11050243281869704], [1.266490116937547, -0.2692007846453093], [-0.08440220349395236, -0.037578282098755945], [-0.2803356437884192, 0.31134427434411704], [-0.24365408297459645, -0.7498901599364487], [0.5745750493594513, 0.6381302405272078], [-0.25624488627390224, 0.44382916220610746], [0.10236692648189397, 0.17730471768130834], [-0.09959254024311501, 0.30651432153169894], [-0.09629614640838317, 0.04287380666568276], [0.006775382818689698, -0.0049226037612949015], [-0.4418013462634676, 0.0], [0.1351563418915893, 0.5613074884408876], [0.17715681068181321, 0.0], [0.6464480309612192, -0.469671986638652], [0.0932383428359048, -0.041512384801176465], [0.12411787676042403, -0.38199554597470403], [0.39112903226766343, 0.6774553562028399], [-0.09651246384609599, 0.16716449094509264], [0.06691306063588583, 0.07431448254773942], [-0.15683231053067198, -0.48268022021740625], [-0.48162786052559625, 0.5349019293901361], [-1.2726390955894227, -0.5666154314015232], [-0.001995618613909547, 0.0004241818309773087], [0.039169405894059504, 0.3726720031314564], [0.1289040654092001, -1.2264402579340765], [-0.826778509966842, -0.17573719734121607], [0.0778476965802263, 0.05655966227279191], [-0.5095718842122158, -0.3702256449559983], [0.17911792403505833, 0.03807269006636421], [0.003693859055450419, -0.03514472129608568], [-0.03792561417713278, -0.3608381154314722], [-1.3664416986575463, 0.29044614918919254], [-0.6663701150821258, -0.2966870902669128], [-0.26441307302828787, 0.29366046798966183], [-0.13715075372088234, -0.4221066168379372], [-0.001287086651056328, -0.0014294545423327524], [-0.3863474366840931, 0.6691733897108492], [1.2793942191818668, 2.2159757905329056], [0.028209263078600957, -0.08681918457285587], [-0.6072084478252059, 0.2703466189334533], [-0.10273743243310078, 0.074643113880725], [-1.0571869209539475, 0.0], [-0.43956851466628066, -0.23828453771505992], [0.08944271909999159, 0.0], [0.27674478154132437, -0.20106685319332512], [-0.6359658317175809, 0.2831502311567683], [-0.02731350152805132, 0.08406231399549467], [-0.3505582907358223, -0.6071847705689463], [-0.0009124060365773041, 0.0015803336124844381], [0.08481815796706263, 0.09420010772297917], [-0.05165666855807064, -0.15898287840649256], [-1.735121607119991, 1.9270477716180041], [-0.4083352784165386, -0.18180257917449058], [0.08418554150610602, -0.017894189244866833], [-0.06515772367868355, -0.6199343300865241], [-0.00214977083070004, 0.020453703176337018], [0.3528464882302865, 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[-0.02414756218159473, 0.017544230872582483], [-0.032274861218395144, 0.0], [-0.9340604270554501, -0.357114993537082], [0.00024975231921256735, 0.0], [-0.2279403315155369, 0.16560834469367822], [-0.7317886856640254, 0.3258133144418557], [-0.17235547955722388, 0.5304556219752139], [0.2617637224721743, 0.4533880669001649], [0.26132282191887535, -0.452624404740766], [0.15724380494369491, 0.17463693764982807], [-0.5620294108947399, -1.729748665319047], [-0.08498902925307253, 0.09438987951164672], [-1.382319925541639, -0.6154484831246976], [0.03137409892171385, -0.006668770592294644], [0.019001664339130985, 0.18078875975929673], [0.07341358798731, -0.6984836320034044], [-0.0006517663100371492, -0.00013853720587385406], [0.036323167577570155, 0.02639032599697018], [0.19567534447025647, 0.14216645943973996], [-0.2527725923709537, -0.05372847311878797], [0.019508041216146736, -0.18560661391841565], [-0.025857385768033023, -0.24601659203049434], [-0.20536713872480897, 0.043652132887355845], 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-0.42153818492300216, 0.0007890540773381626, 0.08718394648506324, -0.1300103392444979, -0.21474437833812662, -0.40866351942256673, -0.2643107228342132, -0.1345136496219233, -0.4048200343591336, -0.2565676255604998, -0.06644349126826211, -0.19068809054691932, -0.4757591971778554, -0.4178185539501665, -0.09083367300933891, -0.30597205515118925, -0.28611222712138557, -0.20099098241378793, -0.4064042613519031, -0.37324904856356034, -0.10657276051285974, -0.48496998173414674, -0.1400259055358286, 0.20839735385797806, -0.4347210069309352, -0.4820226237477726, 0.0012535591985685921, -0.40326162047039493, -0.2959805603746804, -0.06989601519377729, -0.041017500243431496, -0.10581420529045804, -0.2238295112701926, -0.3888102485156031, 0.1221920307529872, -0.46892823862103333, -0.49665960093803374, -0.2119142961030414, -0.3604065161165859, -0.1898314741328307, -0.260449711611423, -0.4688062111171049, -0.2308546477188977, -0.22529256024937427, -0.12125086290650058, -0.08436608194807836, 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-0.4051587746800971, -0.3652782928960324, -0.40944576761927404, -0.48450729120335734, -0.3581340353681016, -0.29771470018841756, 0.06569518796544817, 0.13278266750976808, -0.4705645910539013, -0.2864417797346539, -0.3256728850277193, -0.39823773801641127, -0.12227574664371904, -0.09031149006223062, -0.3155426219617058, -0.1893578381999857, -0.49022648927405055, -0.1859361105407859, 0.2378030532966753, -0.004325629490702927, -0.4124300953074844, -0.23573121664775895, -0.49684382900786295, 0.10212273392060987, -0.4197369722255304, -0.049193667831237534, -0.27923122325899663, -0.021421038824230784, -0.22707769068534514, -0.03474156469122388, 0.06162558927187101, -0.3416126434508247, 0.23958766020252736, -0.35715676110722583, 0.028706103566980116, -0.4173631937265675, -0.40916687060133267, -0.4215749093472221, -0.2629526371853729, -0.3082027738358011, -0.11857243039788912, -0.06550628341298075, -0.41036486656899684, -0.14193459147367946, -0.24025378874637918, -0.33054457712550184, -0.059310367547303074, -0.2694268222718394, 0.17995038174432007, -0.21769073497858907, 0.024345009087449326, 0.02701196598043293, 0.026660390342724924, -0.21108779566967414, -0.23914801049314088, 0.01891624093883544, -0.4505374985370883, -0.28966679508182364, -0.49616720874589637, -0.37458731056325856, -0.3198962078436672, -0.1307055271872803, -0.2658171001545141, -0.22877313497628304, -0.041307101150026296], 'char_orbit_index': 33, 'conrey_index': 421, 'dual_conrey_index': 391, 'dual_embedding_index': 3, 'dual_embedding_m': 9, 'embedding_index': 3, 'embedding_m': 12, 'hecke_orbit': 8, 'hecke_orbit_code': 31527396448404386, 'label': '930.2.bg.h.421.3', 'level': 930, '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': 3720, 'analytic_conductor': 7.426087387979075, 'char_conductor': 31, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 33, 'char_orbit_label': 'bg', 'char_order': 15, 'char_parity': 1, 'char_values': [930, 15, [311, 187, 871], [15, 15, 8]], 'conrey_index': 121, 'cusp_dim': 1472, 'dim': 160, 'eis_dim': 128, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 2199056810914, 'hecke_orbit_dims': [8, 16, 16, 16, 16, 16, 24, 24, 24], 'label': '930.2.bg', 'level': 930, '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, 31], 'level_radical': 930, 'mf_dim': 1600, 'mf_new_dim': 160, 'num_forms': 9, 'prim_orbit_index': 7, 'relative_dim': 20, 'sturm_bound': 384, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [160, 0, 0, -40, 0, 0, 0, 0, 20, 0, -48, 0, -16, -48, 0, -40, -32, 0, 0, 0, 0, 0, 16, 0, -80, 32, 0, 0, 64, 32, 40, 0, 48, 36, 48, -80, -48, 16, -40, 0, 40, 8, -8, -8, 0, -28, -16, 0, 60, 0, -56, -16, 56, 0, -24, -8, -16, -56, 40, 0, -80, 0, 0, -40, 0, 4, 56, 8, 0, 0, -56, 0, 56, -16, 0, 0, 96, -24, 40, 0, 20, 56, 8, 0, -40, -40, -8, -40, -72, 0, 72, -64, 8, 24, 0, 0, 112, 32, -8, 20, 8, 8, -120, -8, 8, 56, 96, 0, 48, 16, -52, 0, 88, -24, 8, -56, 24, -24, 56, -8, 0, -56, 80, -40, 0, 16, -8, 0, -32, -32, 0, -32, -176, 0, 0, -24, -8, -8, -56, -32, 8, -48, 152, 20, 24, 56, -96, -48, -40, 0, 216, -24, -56, 32, -56, 0, -152, -56, -24, 0, 168, 0, 72, -40, 0, 56, -80, 8, -40, 32, 0, -48, -120, 16, 0, -8, 0, -120, -80, 0, 48, 40, 0, -28, -48, -16, 160, -16, 0, 0, -112, 0, 64, 208, 0, -60, -88, 80, 24, 0, 16, 0, 0, 64, 24, -56, -8, 24, 200, 8, -16, 16, 144, 184, 64, 0, 88, 272, 136, -4, -240, 64, 88, 72, -40, -92, 296, -16, -112, -48, -24, 24, 56, -8, -48, -80, 0, 80, -24, 0, -168, -128, 0, 0, -16, -32, -96, 0, -16, 0, -88, 0, -104, 48, -4, -40, 160, -24, -272, 0, -32, 48, -168, -16, -16, 16, -96, -64, -80, 4, 16, -32, 8, -32, -24, 0, 0, -192, -8, 0, -112, 32, -56, -16, -64, -112, -312, 0, -96, -16, 24, 16, -192, -32, -16, -56, -24, 56, -280, 0, -136, -32, -104, 0, -48, 8, -208, 96, -32, 88, -32, -24, 248, 96, 16, 20, -112, -64, -144, 0, 112, -32, 320, 20, 32, 184, 24, 136, 216, -24, 104, -72, -24, 68, 24, 0, -24, 0, 0, 80, 312, -32, 216, 80, 8, 56, -184, -8, 40, 72, -20, 0, -232, 0, 304, 88, -96, 224, 16, 0, -100, -88, -208, -48, 152, 16, -136, 16, 40, 56, 288, 8, 192, 176, 0, -16, -144, -32, 224, 0, 184, -56, -200, 0, -56, 104, 16, -128, -104, 0, 68, 32, -152, -48, 48, 72, -168, 64, 272, 20, 144, 320, -96, 128, 0, 128, 456, -32, 188, 0, -16, 80, -280, 44, -56, -8, 256, -72, 112, 8, -112, 16, -32, -64, -32, 96, -128, -24, 152, -40, 336, 0, 192, 48, -16, 48, 776, -64, -12, 16, 20, -144, -96, -52, 8, -200, -8, 0, -336, 0, 104, -112, -240, -104, -64, 16, -344, -264, -16, -32, -88, 0, -48, -16, -32, 136, 56, -16, -208, 8, 0, 16, -112, -128, 0, 16, -64, -120, -512, -8, -252, -384, 8, 60, 8, 0, 152, 24, -132, -80, -264, -40, 136, 152, 8, -40, -112, -32, 96, 0, -16, -144, 8, -24, 60, -40, -144, 112, 112, 32, -304, 0, -16, 156, -152, -12, 544, 168, -80, 8, -104, -32, 104, 360, 0, 56, 64, -32, 184, -72, 0, 184, 416, 0, -64, -80, -200, 136, -128, 0, -120, 432, 56, -4, -112, 152, -24, 232, 0, 0, -128, 32, 112, 48, -16, -56, -32, 80, -32, -32, -16, 312, 248, 48, -48, 160, 0, 72, -40, 16, -144, -48, 192, -56, -8, 20, -560, -96, -56, 4, -440, 320, 152, 56, 0, -80, -88, 64, -136, 0, 208, 72, -208, -12, -128, 40, 288, -144, -672, 0, 164, -104, -64, -24, 0, -56, -336, -24, -16, 80, 144, 64, -8, 152, -24, 32, 192, -40, 64, 24, 0, -24, -176, -40, -80, 0, 152, 88, -512, 0, 76, 64, 72, -64, 0, 16, -224, -360, 64, 0, -152, -8, -32, -32, -32, 120, -184, 0, -12, -64, -88, -48, 272, -136, 164, 0, -24, 104, 128, 0, -40, 0, 336, 56, 32, -88, -216, 40, 200, 124, 112, 8, 136, -56, 0, 0, -48, -16, 776, 32, -112, -8, 400, 0, 160, 88, 280, -8, 568, -32, 144, 0, 112, 48, -32, -4, 320, -288, 120, 0, -24, -8, -456, 72, -112, 80, 56, -40, 448, -136, 40, 240, -472, -240, -48, 160, -24, -320, 184, 0, 96, 32, 160, -72, -32, -64, 144, -80, -40, 64, 296, 0, 136, -40, 0, 32, -96, -24, 80, 32, -248, 232, -128, -16, 32, 48, 8, -80, -112, -16, 48, 64, -120, -252, 48, 0, 304, -240, 92, 0, 80, -24, -248, -72, 0, -52, -224, 0, 48, 32, -16, -16, 224, -80, 28, -32, -232, -240, -344, 0, 200, 80, 16, 20, 152, -60, -544, -128, -256, -48, -320, 0, 520, -344, -48, -216, -192, 0, -144, 0, 16, -184, 8, 16, -48, -336, -128, 0, -144, 0, -56, -40, -112, -184, 384, -56, -264, -288, -96, 24, 144, 64, -536, -56, -24, -256, -136, -8, 176, -168, -204, -16, 128, 16, -120, -80, -8, -864, 0, 8, -48, 40, -128, -136, -32, -52, 80, -64, -32, -24, 440, -176, 48, 0, 0, -56, 112, -24, -224, 24, 8, 56, 328, 0, -88, -176, 0, 248, 80, 0, -196, -48, -16, 216, -24, -104, 368, 208, 96, -4, -184, 32, 552, 120, -136, -112, 264, -16, -464, -64, -24, 8, -120, -64, 56, -8, -72, 32, 112, 160, 256, -112, -72, -112, 96, -40, 416, 216, 96, 8, 240, 24, -128, 32, 96, -32, 232, 8, -236, 72, 164, 176, 712, -24, -48, 432, -120, 24, 576, 184, 1216, 56, 200, -256, 112, 32, 368, 384, -160, 72, -56, -192, -264, 0, -16, 288, 32, 40, -144, 16, 288, -40, 296, 56, -48, 176, -272, 80, -152, 0, -160, 96, 48, -188, 120, -24, 192, 272, 24, 56, -416, 0, -328, -224, 80, 40, -408, 120, -144, -16, -24, 104, 232, 48, -32, 112, -64, 104, 80, 48, 64, -40, 704, 328, 168, 24, 344, 176, 68, 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: 46427801
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 421, 'source_dim': 24, 'source_embedding_index': 3, 'source_hecke_orbit_code': 31527396448404386, 'source_is_minimal': True, 'source_label': '930.2.bg.h.421.3', 'source_level': 930, 'target_conrey_index': 421, 'target_dim': 24, 'target_embedding_index': 3, 'target_hecke_orbit_code': 31527396448404386, 'target_is_minimal': True, 'target_label': '930.2.bg.h.421.3', 'target_level': 930, 'twist_class_label': '930.2.bg.h.391.3', 'twist_class_level': 930, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46427802
    {'conductor': 31, 'degree': 8, 'order': 15, 'parity': 1, 'source_conrey_index': 421, 'source_dim': 24, 'source_embedding_index': 3, 'source_hecke_orbit_code': 31527396448404386, 'source_is_minimal': True, 'source_label': '930.2.bg.h.421.3', 'source_level': 930, 'target_conrey_index': 391, 'target_dim': 24, 'target_embedding_index': 3, 'target_hecke_orbit_code': 31527396448404386, 'target_is_minimal': True, 'target_label': '930.2.bg.h.391.3', 'target_level': 930, 'twist_class_label': '930.2.bg.h.391.3', 'twist_class_level': 930, 'twisting_char_label': '31.19', 'twisting_conrey_index': 19, 'weight': 2}
• hecke_orbit_code 31527396448404386 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': 33, 'hecke_orbit': 8, 'label': '930.2.bg.h', 'level': 930, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 50259667
    {'hecke_orbit_code': 31527396448404386, 'n': 1, 'trace_an': 24}
  • id: 50259668
    {'hecke_orbit_code': 31527396448404386, 'n': 2, 'trace_an': 6}
  • id: 50259669
    {'hecke_orbit_code': 31527396448404386, 'n': 3, 'trace_an': -3}
  • id: 50259670
    {'hecke_orbit_code': 31527396448404386, 'n': 4, 'trace_an': -6}
  • id: 50259671
    {'hecke_orbit_code': 31527396448404386, 'n': 5, 'trace_an': -12}
  • id: 50259672
    {'hecke_orbit_code': 31527396448404386, 'n': 6, 'trace_an': -12}
  • id: 50259673
    {'hecke_orbit_code': 31527396448404386, 'n': 7, 'trace_an': -11}
  • id: 50259674
    {'hecke_orbit_code': 31527396448404386, 'n': 8, 'trace_an': 6}
  • id: 50259675
    {'hecke_orbit_code': 31527396448404386, 'n': 9, 'trace_an': 3}
  • id: 50259676
    {'hecke_orbit_code': 31527396448404386, 'n': 10, 'trace_an': -3}
  • id: 50259677
    {'hecke_orbit_code': 31527396448404386, 'n': 11, 'trace_an': -5}
  • id: 50259678
    {'hecke_orbit_code': 31527396448404386, 'n': 12, 'trace_an': -3}
  • id: 50259679
    {'hecke_orbit_code': 31527396448404386, 'n': 13, 'trace_an': -13}
  • id: 50259680
    {'hecke_orbit_code': 31527396448404386, 'n': 14, 'trace_an': -4}
  • id: 50259681
    {'hecke_orbit_code': 31527396448404386, 'n': 15, 'trace_an': 6}
  • id: 50259682
    {'hecke_orbit_code': 31527396448404386, 'n': 16, 'trace_an': -6}
  • id: 50259683
    {'hecke_orbit_code': 31527396448404386, 'n': 17, 'trace_an': 31}
  • id: 50259684
    {'hecke_orbit_code': 31527396448404386, 'n': 18, 'trace_an': -3}
  • id: 50259685
    {'hecke_orbit_code': 31527396448404386, 'n': 19, 'trace_an': -3}
  • id: 50259686
    {'hecke_orbit_code': 31527396448404386, 'n': 20, 'trace_an': 3}
  • id: 50259687
    {'hecke_orbit_code': 31527396448404386, 'n': 21, 'trace_an': -4}
  • id: 50259688
    {'hecke_orbit_code': 31527396448404386, 'n': 22, 'trace_an': 5}
  • id: 50259689
    {'hecke_orbit_code': 31527396448404386, 'n': 23, 'trace_an': -9}
  • id: 50259690
    {'hecke_orbit_code': 31527396448404386, 'n': 24, 'trace_an': 3}
  • id: 50259691
    {'hecke_orbit_code': 31527396448404386, 'n': 25, 'trace_an': -12}
  • id: 50259692
    {'hecke_orbit_code': 31527396448404386, 'n': 26, 'trace_an': 3}
  • id: 50259693
    {'hecke_orbit_code': 31527396448404386, 'n': 27, 'trace_an': 6}
  • id: 50259694
    {'hecke_orbit_code': 31527396448404386, 'n': 28, 'trace_an': 4}
  • id: 50259695
    {'hecke_orbit_code': 31527396448404386, 'n': 29, 'trace_an': 11}
  • id: 50259696
    {'hecke_orbit_code': 31527396448404386, 'n': 30, 'trace_an': 24}
  • id: 50259697
    {'hecke_orbit_code': 31527396448404386, 'n': 31, 'trace_an': 17}
  • id: 50259698
    {'hecke_orbit_code': 31527396448404386, 'n': 32, 'trace_an': -24}
  • id: 50259699
    {'hecke_orbit_code': 31527396448404386, 'n': 33, 'trace_an': 10}
  • id: 50259700
    {'hecke_orbit_code': 31527396448404386, 'n': 34, 'trace_an': 9}
  • id: 50259701
    {'hecke_orbit_code': 31527396448404386, 'n': 35, 'trace_an': 7}
  • id: 50259702
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  • id: 50259703
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  • id: 50259704
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  • id: 50259705
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  • id: 50259706
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  • id: 50259707
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  • id: 50259708
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  • id: 50259709
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  • id: 50259710
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  • id: 50259711
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  • id: 50259712
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  • id: 50259713
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  • id: 50259714
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  • id: 50259715
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  • id: 50259716
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  • id: 50259717
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  • id: 50259718
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  • id: 50259719
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  • id: 50259720
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  • id: 50259721
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  • id: 50259722
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  • id: 50259723
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  • id: 50259724
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  • id: 50259725
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  • id: 50259726
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  • id: 50259727
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  • id: 50259728
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  • id: 50259729
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  • id: 50259730
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  • id: 50259731
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  • id: 50259732
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  • id: 50259733
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  • id: 50259734
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  • id: 50259735
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  • id: 50259736
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  • id: 50259737
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  • id: 50259738
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  • id: 50259739
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  • id: 50259740
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  • id: 50259741
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  • id: 50259742
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  • id: 50259743
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  • id: 50259744
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  • id: 50259745
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  • id: 50259746
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  • id: 50259747
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  • id: 50259748
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  • id: 50259749
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  • id: 50259750
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  • id: 50259751
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  • id: 50259752
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  • id: 50259753
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  • id: 50259754
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  • id: 50259755
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  • id: 50259757
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  • id: 50259760
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  • id: 50259761
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  • id: 50259762
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  • id: 50259764
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  • id: 50259765
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  • id: 50259766
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  • id: 50259767
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  • id: 50259768
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  • id: 50259769
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  • id: 50259770
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  • id: 50259771
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  • id: 50259772
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  • id: 50259773
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  • id: 50259774
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  • id: 50259775
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  • id: 50259776
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  • id: 50259779
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  • id: 50259780
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  • id: 50259781
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  • id: 50259783
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  • id: 50259784
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  • id: 50259785
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  • id: 50259786
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  • id: 50259787
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  • id: 50259788
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  • id: 50259789
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  • id: 50259790
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  • id: 50259791
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  • id: 50259792
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  • id: 50259793
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  • id: 50259795
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  • id: 50259796
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  • id: 50259797
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  • id: 50259798
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  • id: 50259799
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  • id: 50259800
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  • id: 50259801
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  • id: 50259802
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  • id: 50259803
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  • id: 50259804
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  • id: 50259805
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  • id: 50259806
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  • id: 50259807
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  • id: 50259808
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  • id: 50259809
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  • id: 50259810
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  • id: 50259811
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  • id: 50259812
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  • id: 50259813
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  • id: 50259814
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  • id: 50259815
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  • id: 50259816
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  • id: 50259817
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  • id: 50259818
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  • id: 50259819
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  • id: 50259820
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  • id: 50259821
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  • id: 50259822
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  • id: 50259823
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  • id: 50259824
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  • id: 50259825
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  • id: 50259826
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  • id: 50259827
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  • id: 50259828
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  • id: 50259829
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  • id: 50259830
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  • id: 50259831
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  • id: 50259832
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  • id: 50259833
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  • id: 50259834
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  • id: 50259835
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  • id: 50259836
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  • id: 50259837
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  • id: 50259838
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  • id: 50259839
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  • id: 50259840
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  • id: 50259841
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  • id: 50259842
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  • id: 50259843
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  • id: 50259844
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  • id: 50259845
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  • id: 50259846
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  • id: 50259847
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  • id: 50259848
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  • id: 50259849
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  • id: 50259850
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  • id: 50259851
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  • id: 50259852
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  • id: 50259853
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  • id: 50259854
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  • id: 50259856
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  • id: 50259859
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  • id: 50259860
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  • id: 50259861
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  • id: 50259864
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  • id: 50259865
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  • id: 50259866
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  • id: 50259867
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  • id: 50259868
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  • id: 50259870
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  • id: 50259871
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  • id: 50259875
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  • id: 50259880
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  • id: 50259891
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  • id: 50259898
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  • id: 50259899
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  • id: 50259900
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  • id: 50259901
    {'hecke_orbit_code': 31527396448404386, 'n': 841, 'trace_an': -193}
  • id: 50259902
    {'hecke_orbit_code': 31527396448404386, 'n': 853, 'trace_an': 217}
  • id: 50259903
    {'hecke_orbit_code': 31527396448404386, 'n': 857, 'trace_an': -173}
  • id: 50259904
    {'hecke_orbit_code': 31527396448404386, 'n': 859, 'trace_an': -42}
  • id: 50259905
    {'hecke_orbit_code': 31527396448404386, 'n': 863, 'trace_an': 131}
  • id: 50259906
    {'hecke_orbit_code': 31527396448404386, 'n': 877, 'trace_an': 240}
  • id: 50259907
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  • id: 50259908
    {'hecke_orbit_code': 31527396448404386, 'n': 883, 'trace_an': 21}
  • id: 50259909
    {'hecke_orbit_code': 31527396448404386, 'n': 887, 'trace_an': 87}
  • id: 50259910
    {'hecke_orbit_code': 31527396448404386, 'n': 907, 'trace_an': 291}
  • id: 50259911
    {'hecke_orbit_code': 31527396448404386, 'n': 911, 'trace_an': 113}
  • id: 50259912
    {'hecke_orbit_code': 31527396448404386, 'n': 919, 'trace_an': -257}
  • id: 50259913
    {'hecke_orbit_code': 31527396448404386, 'n': 929, 'trace_an': 156}
  • id: 50259914
    {'hecke_orbit_code': 31527396448404386, 'n': 937, 'trace_an': 150}
  • id: 50259915
    {'hecke_orbit_code': 31527396448404386, 'n': 941, 'trace_an': -241}
  • id: 50259916
    {'hecke_orbit_code': 31527396448404386, 'n': 947, 'trace_an': -100}
  • id: 50259917
    {'hecke_orbit_code': 31527396448404386, 'n': 953, 'trace_an': -118}
  • id: 50259918
    {'hecke_orbit_code': 31527396448404386, 'n': 961, 'trace_an': 125}
  • id: 50259919
    {'hecke_orbit_code': 31527396448404386, 'n': 967, 'trace_an': 55}
  • id: 50259920
    {'hecke_orbit_code': 31527396448404386, 'n': 971, 'trace_an': 46}
  • id: 50259921
    {'hecke_orbit_code': 31527396448404386, 'n': 977, 'trace_an': -293}
  • id: 50259922
    {'hecke_orbit_code': 31527396448404386, 'n': 983, 'trace_an': 119}
  • id: 50259923
    {'hecke_orbit_code': 31527396448404386, 'n': 991, 'trace_an': 48}
  • id: 50259924
    {'hecke_orbit_code': 31527396448404386, 'n': 997, 'trace_an': 96}