Embedded newform data - 105.3.w.a.38.8

Formats: - HTML - YAML - JSON - 2026-02-24T05:13:21.770831

• 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': 945, 'analytic_conductor': 2.8610427757831176, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 105, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 23, 'char_orbit_label': 'w', 'char_order': 12, 'char_parity': -1, 'char_values': [105, 12, [71, 22, 31], [6, 3, 2]], 'cm_discs': [], 'conrey_index': 17, 'dim': 112, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1511878819945, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 3, -1, 4, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 15, 5, 1, 4, 0], [1, 1, 21, 7, 1, 6, 0], [1, 1, 35, 11, 1, 12, 0], [1, 1, 105, 23, -1, 12, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '105.3.w.a', 'level': 105, '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': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '105.3.w.a', 'prim_orbit_index': 23, 'related_objects': [], 'relative_dim': 28, 'rm_discs': [], 'sato_tate_group': '2.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '105.3.w', 'trace_display': [0, -6, 0, -16], 'traces': [112, 0, -6, 0, 0, 0, -16, 0, 0, -60, 0, -30, 0, 0, -20, 120, 0, 46, 0, 0, -96, -80, 0, 0, 28, 0, 0, -136, 0, -80, -24, 0, -36, 0, 0, -272, 60, 0, 0, -72, 0, 338, -48, 0, 384, 40, 0, 0, 0, 0, 176, -204, 0, 0, 0, 0, 344, -284, 0, -214, -912, 0, 132, 0, 0, -444, -36, 0, 0, 208, 0, -638, 708, 0, 42, 0, 0, 664, 0, 0, 8, 1104, 0, 0, 264, 0, 246, 180, 0, 0, 632, 0, 196, 0, 0, 2184, 0, 0, 0, 476, 0, -392, 24, 0, 92, 1040, 0, -1788, 0, 0, 0, -1824, 0, 0, -792, 0, -1788, 0, 0, -2088, -848, 0, -258, 0, 0, -792, -824, 0, 0, 104, 0, 0, 448, 0, -328, 816, 0, -354, 0, 0, -1688, 1804, 0, 0, -360, 0, 1304, -1880, 0, 2244, -520, 0, 0, 0, 0, 1528, -624, 0, 0, 0, 0, 3284, -544, 0, 512, -5064, 0, -214, 0, 0, -828, 904, 0, 0, -380, 0, -1544, 1728, 0, 816, 0, 0, 2308, 0, 0, 1400, 3204, 0, 0, 4048, 0, 1902, 520, 0, 0, 1880, 0, 424, 0, 0, 3384, 0, 0, 0, 180, 0, -510, 3000, 0, -228, 4384, 0, -1224, 0, 0, 0, -1960, 0, 0, -4248, 0, -5040, 0, 0, -4224, -2000, 0, -884, 0, 0, -2440, -6480, 0, 0, -1204, 0, 0, -1468, 0, -358, 2832, 0, -966, 0, 0, -6344, 1516, 0, 0, -2088, 0, 2334, -5608, 0, 2148, -1320, 0, 0, 0, 0, 1852, -2076, 0, 0, 0, 0, 4300, -592, 0, 872, -4440, 0, 220, 0, 0, -1680, 556, 0, 0, 3464, 0, -2728, 3420, 0, 2832, 0, 0, 10476, 0, 0, 612, 9684, 0, 0, 6120, 0, -840, 580, 0, 0, 3864, 0, 334, 0, 0, 4896, 0, 0, 0, 380, 0, -1516, 2400, 0, -654, 6416, 0, -7140, 0, 0, 0, -372, 0, 0, -3588, 0, -5718, 0, 0, -9952, -856, 0, -1852, 0, 0, -5100, -7160, 0, 0, -2980, 0, 0, -2524, 0, 712, -240, 0, -7866, 0, 0, -5552, 164, 0, 0, -2808, 0, 4600, -13168, 0, 7782, 1432, 0, 0, 0, 0, 4068, 456, 0, 0, 0, 0, 9576, -464, 0, 1262, -7680, 0, 5568, 0, 0, 4356, 2448, 0, 0, -344, 0, -422, 9228, 0, 9684, 0, 0, 9448, 0, 0, 3092, 5052, 0, 0, 13728, 0, -150, 3208, 0, 0, -568, 0, -1528, 0, 0, 6504, 0, 0, 0, -1064, 0, 212, 11916, 0, -6968, 7584, 0, -4224, 0, 0, 0, -5972, 0, 0, -7428, 0, -9888, 0, 0, -11524, -2688, 0, -500, 0, 0, -5408, -9640, 0, 0, -868, 0, 0, -1392, 0, 486, -8424, 0, -8880, 0, 0, -9240, 1716, 0, 0, -18984, 0, 368, -10280, 0, 3288, -5744, 0, 0, 0, 0, 844, 7068, 0, 0, 0, 0, 8488, 3120, 0, 3488, -8280, 0, 3546, 0, 0, 4356, -2148, 0, 0, 11240, 0, -1126, 156, 0, 8328, 0, 0, 18580, 0, 0, -440, 5520, 0, 0, 18744, 0, -7950, -1368, 0, 0, 3544, 0, -2376, 0, 0, 7080, 0, 0, 0, -3404, 0, -4706, 13056, 0, -3952, 19200, 0, -9792, 0, 0, 0, 180, 0, 0, -7824, 0, -6816, 0, 0, -24840, 2064, 0, -3562, 0, 0, 1352, -7144, 0, 0, -728, 0, 0, -6024, 0, 2384, -3168, 0, -18384, 0, 0, -11712, 2488, 0, 0, -9216, 0, 5066, -32432, 0, 10620, 1208, 0, 0, 0, 0, -1224, 11772, 0, 0, 0, 0, 14232, 2284, 0, 4996, -264, 0, 11406, 0, 0, 7788, 7808, 0, 0, 5376, 0, 2004, 17076, 0, 24816, 0, 0, 18716, 0, 0, 2744, 9912, 0, 0, 29168, 0, -7488, 4236, 0, 0, 4480, 0, -3242, 0, 0, 8772, 0, 0, 0, -2252, 0, 1604, 19008, 0, -13268, 2384, 0, -636, 0, 0, 0, -3748, 0, 0, -8052, 0, -2802, 0, 0, -20296, -4072, 0, -5642, 0, 0, -4496, -23456, 0, 0, -8976, 0, 0, -17944, 0, 3444, -14832, 0, -12552, 0, 0, -14800, -4520, 0, 0, -25440, 0, 972, -23752, 0, 2124, -256, 0, 0, 0, 0, -4076, -6456, 0, 0, 0, 0, 10376, 5652, 0, 2722, -6384, 0, 4876, 0, 0, 3732, -3284, 0, 0, 1104, 0, 180, 3408, 0, 16776, 0, 0, 37448, 0, 0, -2604, -3684, 0, 0, 20328, 0, -13428, 7772, 0, 0, 5048, 0, -3416, 0, 0, 936, 0, 0, 0, -7848, 0, -6858, 14592, 0, -1926, 32752, 0, -12294, 0, 0, 0, 460, 0, 0, 6840, 0, -4086, 0, 0, -34144, 3592, 0, -7000, 0, 0, 5228, -6544, 0, 0, 372, 0, 0, 5200, 0, 6256, -4320, 0, -28986, 0, 0, -15440, 1760, 0, 0, -20592, 0, 7840, -30664, 0, 12204, 464, 0, 0, 0, 0, -1816, 20532, 0, 0, 0, 0, 18816, 8476, 0, 6760, -17928, 0, 16144, 0, 0, 16212, 4452, 0, 0, 8292, 0, 2950, -204, 0, 29754, 0, 0, 26792, 0, 0, 7080, 10992, 0, 0, 36040, 0, -2364, 5360, 0, 0, -15240, 0, -6622, 0, 0, 912, 0, 0, 0, -5308, 0, 1508, 36240, 0, -15222, 4560, 0, -684, 0, 0, 0, -3632, 0, 0, -23328, 0, -468, 0, 0, -25840, 12720, 0, -992, 0, 0, -11196, -21728, 0, 0, -6044, 0, 0, -21396, 0, 5116, -4176, 0, -20604, 0, 0, -22416, -1192, 0, 0, -20376, 0, -10716, -29000, 0, -3516, -10280, 0, 0, 0, 0, -4844, 24060, 0, 0, 0, 0, 10800, 7812, 0, 4080, -480, 0, 1542, 0, 0, 9408, 1072, 0, 0, 28916, 0, -1048, 5088, 0, 15474, 0, 0, 31152, 0, 0, -1576, 9204, 0, 0, 35488, 0, -19794, 5960, 0, 0, 15848, 0, -7764, 0, 0, 16848, 0, 0, 0, -944, 0, -10076, 5064, 0, -5924, 16416, 0, -16740, 0, 0, 0, 848, 0, 0, -2880, 0, -11508, 0, 0, -45460, -4000, 0, -5786, 0, 0, 13084, -12136, 0, 0, -12464, 0, 0, -12932, 0, 3908, -24336, 0, -35916, 0, 0, -7280, -7484, 0, 0, -21264, 0, 10676, -36264, 0, 20484, 7112, 0, 0, 0, 0, 3468, 6132, 0, 0, 0], 'weight': 3, '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], [-0.2662154555061876, 0.9935296057091839], [-0.9586368552221997, -0.28463200770414326], [-0.050205004885840954, -0.028985873085506753], [0.7299786375993166, 0.6834699617749457], [0.5379942734645079, -0.8766606572046048], [-0.9405406812116124, 0.33968106656979885], [-0.6851504789008419, 0.6851504789008419], [0.837969240380617, 0.5457174655221615], [-0.8733792371546211, 0.5433051207914624], [-1.6061292008591368, -0.9272991264693412], [0.039878060748792465, 0.042076877558013225], [-0.23396167525057576, 0.23396167525057576], [-0.08709673026511794, -1.0248833620213271], [-0.5052469981021177, -0.8629747799957995], [-0.5273055114084485, -0.9133199368705232], [0.18706711292378017, 0.6981439698567721], [-0.7652668213769483, 0.6872688253301145], [0.5879429666884457, 1.0183470902571639], [-0.016837607497468484, -0.0554726809148216], [0.998321064802092, -0.05792280701431082], [1.3488755523040594, -1.3488755523040594], [-0.2474924979174887, -0.06631541494975242], [0.8518262568364889, -0.46179474405848525], [0.06573762270270861, 0.9978369430730636], [-0.17016363701494192, -0.29473206491058745], [-0.6479795395206208, -0.7616577422718449], [0.05706580178070294, 0.010208703210591445], [0.41285416975911426, 0.0], [0.9918955526490857, -0.272240626663212], [0.9993851902626579, 0.5769953086222709], [0.11185431408220696, -0.02997127312826451], [1.2757556340828808, 1.3460988975216492], [-0.7434268597772747, 0.0], [-0.9187364106617191, -0.3948713812425776], [-0.026252152611323534, -0.05168701807405993], [0.4741364243350667, 0.12704447200276123], [-1.1682774877469186, 0.3130390093772477], [0.29087726595712565, -0.15769130325233335], [-0.9684249847629999, 0.031865441514111706], [0.15361003540289467, 0.0], [-0.20822047339321378, 1.007281480337507], [0.1957696944281737, 0.1957696944281737], [0.053757149584283195, 0.09311011435005866], [0.23871814914282508, 0.9710888966875401], [0.13177265613493688, -0.2282369354740134], [1.230028506907789, 0.3295851450932017], [0.24553440989025047, 1.025630178478943], [0.7692335460280078, -0.6389677234924913], [-1.0088809157851337, -0.2003273419570162], [0.019384690958125193, -0.7225118276827514], [0.018527630474740427, -0.004964463623368956], [-0.27023985794402045, -1.0085488800772802], [0.9292316846368651, -0.4410217936088274], [-0.5386589073296907, -1.7746496165039443], [0.41167925272401384, -0.8771445435917067], [-0.27376961979665315, -1.1435724391528677], [-0.10990816086005151, 0.4101828404961653], [1.0272887709699388, 0.5931054484549739], [0.0003518505593219388, 0.057970678409867894], [-1.319255744969421, 0.7616726594880555], [-0.8393137051234452, 0.8393137051234452], [-0.9735140509162983, -0.22862719144611626], [0.0, -0.9355016341219895], [-0.3306928021901823, 0.010881247709555762], [-1.6770149741422107, 0.9091486609515317], [0.08786328024411615, 0.32791022599070424], [0.010844607187361703, -0.040472625011360494], [0.2183799401958268, 0.1340166874141542], [0.6368982397662083, -0.8076709592115584], [0.0, 0.39070775142244396], [-0.9480336091980172, 0.20023644350389183], [-0.10663200893006435, -0.3979560750401384], [-0.25244488835286966, 0.437247372738223], [0.2209978245707429, -0.9752743006636642], [0.0, -0.06816816085579044], [1.825615808998264, 0.32659087209967697], [0.07923495449088744, 0.33097503748083273], [-1.3990225427986362, 0.8077260416871473], [0.2393049835246421, -1.0271015209350887], [0.40438489564813684, 0.9145889000920826], [-0.040893365545103214, 0.15261611790681173], [0.19732746256620462, 0.19732746256620462], [-0.05179965706890009, -0.026029192873786307], [-0.3406054361596783, 0.6374849364835903], [-0.2466199056915343, 0.14238606893852745], [-0.39577722296324946, -0.11751151122756388], [1.7357796317300656, -0.46510075056046263], [-0.8365549547087594, 0.48298522829301743], [-1.0283560294461893, -0.02134532437517748], [0.14057812203201409, -0.29952282480315906], [0.010503151865810263, 0.010503151865810263], [-0.7938161428200053, -0.8375859813098638], [-0.6549051985041057, 1.134329077950092], [-0.266823841042359, 1.1452129785175529], [-0.11575845153875024, -0.00310575096890328], [0.002002956018958462, 0.002002956018958462], [0.4300514915359038, 0.9343593852467893], [-0.8398435373192953, -1.6535409014071065], [0.025622817322972793, -0.0520018709908594], [0.5478229847302036, -0.948857243106742], [0.7126763869446019, 0.2116030796795923], [-0.1273115208874812, -0.0341130192089786], [0.0, -0.32059790768475044], [0.7683415494668987, 0.6400400482491742], [1.0739651980401141, 0.0], [-0.09170427477306978, 0.34224501272435326], [0.010454501295472431, 0.05702128336664639], [-0.562296749936184, -0.32464217994010747], [1.9065662601343571, -0.06273441578952871], [-0.418363727637008, -0.25674391549824543], [0.8061897751823804, 0.6798988570649936], [0.5186197555583701, -0.5186197555583701], [1.2090547786093602, 0.032438435381680654], [-0.13533964232506315, -0.21756252434810544], [-0.020727345609896145, -0.011966938567459947], [-0.3237296597349648, 0.06837571484083836], [-0.8627479704475929, 0.8627479704475929], [-0.41309051812184366, -0.5930896485547852], [0.9374378065063494, 0.24509736108059202], [1.2197673399016065, 2.112699006122719], [-0.4055380679844441, -1.5134886741212668], [-0.1472562412692017, -0.04372233278023043], [-0.033449425573315886, -0.05793610457697684], [-0.6340045170802343, 0.7733293427265377], [0.48631236987821425, -0.906350939247292], [0.3148429950808593, -0.3148429950808593], [1.0413028837717244, 0.2790162667828328], [-0.13194972304171773, -0.24339436538715314], [0.07722469322117807, -0.33144984568635205], [-0.2752484822999899, -0.4767443560498053], [-0.02503146603816707, -0.10455979262454611], [-0.8988975041595317, -0.7580837719733933], [-0.349179080709009, 0.0], [0.04755896654463402, -0.9988684321276784], [-0.6065027972954281, -0.35016455328277646], [0.6556862962912091, -0.17569061357938331], [-0.19128566185768162, 0.18128962239216553], [1.1299481273111263, 0.0], 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[-0.0414032357145017, 0.011093963573736147], [0.3108497694091431, 1.1601071329559918], [-0.21046629619684845, -0.44345189695488196], [-0.09545847101434114, -0.9642354680199802]], 'angles': [0.1276386863025434, None, None, None, -0.4777287848198113, -0.40145154712595643, 0.017181483319569334, 0.016697695438509585, -0.22877910906318807, -0.21690818886898053, -0.06877920843445973, -0.16886858267491092, -0.23776405161208303, -0.10289718936010886, -0.0984808375574451, -0.4542478980388752, -0.06561752407007326, -0.47114410713858673, -0.014520461014917985, 0.03129276878515059, -0.07468856038794523, -0.4829843078169452, -0.10272016079196485, -0.4135570949281982, -0.12477458817658874, -0.3243950321009075, -0.21882945657528746, -0.4866786841885925, -0.21928860551185686, -0.31524043089033343, -0.33926829831200794, -0.12771339618938615, -0.23655327038885152, -0.1544430826028342, -0.06890645653144369, -0.3489299374201665, -0.24616476111430677, -0.2995651868589446, -0.4142526449864175, 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-0.40771086838954224, -0.0024757666477172925, -0.3708162402031938, -0.024366535871209773, -0.22482809195488015, -0.3023490510576459, -0.14270667786896224, 0.30500048556376574, -0.26618857606849333, -0.47462844070480814, -0.32109942878589903, -0.13252695944308296, -0.07771432818309579, 0.17864667603833947, -0.4589413259832247, -0.42002881898552397, -0.06551074590375838, -0.11443937629883298, -0.33772215701699815, -0.11305770374489915, -0.22705863971515008, -0.1838339937695931, -0.37463893740190235, -0.46186013434201684, -0.4323335497342149, -0.4194493487961549, -0.41510086859529566, -0.014296124010646087, -0.42269452270795, 0.2006957627706407, -0.3714496975291147, -0.3201382676874754, 0.007109882482172355, -0.16701586246128555, -0.3523716775549587, -0.302412175806441, -0.2950779193767287], 'char_orbit_index': 23, 'conrey_index': 38, 'dual_conrey_index': 47, 'dual_embedding_index': 8, 'dual_embedding_m': 64, 'embedding_index': 8, 'embedding_m': 36, 'hecke_orbit': 1, 'hecke_orbit_code': 1511878819945, 'label': '105.3.w.a.38.8', 'level': 105, 'weight': 3}
• 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': 945, 'analytic_conductor': 2.8610427757831176, 'char_conductor': 105, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 23, 'char_orbit_label': 'w', 'char_order': 12, 'char_parity': -1, 'char_values': [105, 12, [71, 22, 31], [6, 3, 2]], 'conrey_index': 17, 'cusp_dim': 112, 'dim': 112, 'eis_dim': 32, 'eis_new_dim': 32, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1511878819945, 'hecke_orbit_dims': [112], 'label': '105.3.w', 'level': 105, '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': [3, 5, 7], 'level_radical': 105, 'mf_dim': 144, 'mf_new_dim': 144, 'num_forms': 1, 'prim_orbit_index': 23, 'relative_dim': 28, 'sturm_bound': 48, 'trace_bound': 0, 'trace_display': [0, -6, 0, -16], 'traces': [112, 0, -6, 0, 0, 0, -16, 0, 0, -60, 0, -30, 0, 0, -20, 120, 0, 46, 0, 0, -96, -80, 0, 0, 28, 0, 0, -136, 0, -80, -24, 0, -36, 0, 0, -272, 60, 0, 0, -72, 0, 338, -48, 0, 384, 40, 0, 0, 0, 0, 176, -204, 0, 0, 0, 0, 344, -284, 0, -214, -912, 0, 132, 0, 0, -444, -36, 0, 0, 208, 0, -638, 708, 0, 42, 0, 0, 664, 0, 0, 8, 1104, 0, 0, 264, 0, 246, 180, 0, 0, 632, 0, 196, 0, 0, 2184, 0, 0, 0, 476, 0, -392, 24, 0, 92, 1040, 0, -1788, 0, 0, 0, -1824, 0, 0, -792, 0, -1788, 0, 0, -2088, -848, 0, -258, 0, 0, -792, -824, 0, 0, 104, 0, 0, 448, 0, -328, 816, 0, -354, 0, 0, -1688, 1804, 0, 0, -360, 0, 1304, -1880, 0, 2244, -520, 0, 0, 0, 0, 1528, -624, 0, 0, 0, 0, 3284, -544, 0, 512, -5064, 0, -214, 0, 0, -828, 904, 0, 0, -380, 0, -1544, 1728, 0, 816, 0, 0, 2308, 0, 0, 1400, 3204, 0, 0, 4048, 0, 1902, 520, 0, 0, 1880, 0, 424, 0, 0, 3384, 0, 0, 0, 180, 0, -510, 3000, 0, -228, 4384, 0, -1224, 0, 0, 0, -1960, 0, 0, -4248, 0, -5040, 0, 0, -4224, -2000, 0, -884, 0, 0, -2440, -6480, 0, 0, -1204, 0, 0, -1468, 0, -358, 2832, 0, -966, 0, 0, -6344, 1516, 0, 0, -2088, 0, 2334, -5608, 0, 2148, -1320, 0, 0, 0, 0, 1852, -2076, 0, 0, 0, 0, 4300, -592, 0, 872, -4440, 0, 220, 0, 0, -1680, 556, 0, 0, 3464, 0, -2728, 3420, 0, 2832, 0, 0, 10476, 0, 0, 612, 9684, 0, 0, 6120, 0, -840, 580, 0, 0, 3864, 0, 334, 0, 0, 4896, 0, 0, 0, 380, 0, -1516, 2400, 0, -654, 6416, 0, -7140, 0, 0, 0, -372, 0, 0, -3588, 0, -5718, 0, 0, -9952, -856, 0, -1852, 0, 0, -5100, -7160, 0, 0, -2980, 0, 0, -2524, 0, 712, -240, 0, -7866, 0, 0, -5552, 164, 0, 0, -2808, 0, 4600, -13168, 0, 7782, 1432, 0, 0, 0, 0, 4068, 456, 0, 0, 0, 0, 9576, -464, 0, 1262, -7680, 0, 5568, 0, 0, 4356, 2448, 0, 0, -344, 0, -422, 9228, 0, 9684, 0, 0, 9448, 0, 0, 3092, 5052, 0, 0, 13728, 0, -150, 3208, 0, 0, -568, 0, -1528, 0, 0, 6504, 0, 0, 0, -1064, 0, 212, 11916, 0, -6968, 7584, 0, -4224, 0, 0, 0, -5972, 0, 0, -7428, 0, -9888, 0, 0, -11524, -2688, 0, -500, 0, 0, -5408, -9640, 0, 0, -868, 0, 0, -1392, 0, 486, -8424, 0, -8880, 0, 0, -9240, 1716, 0, 0, -18984, 0, 368, -10280, 0, 3288, -5744, 0, 0, 0, 0, 844, 7068, 0, 0, 0, 0, 8488, 3120, 0, 3488, -8280, 0, 3546, 0, 0, 4356, -2148, 0, 0, 11240, 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15474, 0, 0, 31152, 0, 0, -1576, 9204, 0, 0, 35488, 0, -19794, 5960, 0, 0, 15848, 0, -7764, 0, 0, 16848, 0, 0, 0, -944, 0, -10076, 5064, 0, -5924, 16416, 0, -16740, 0, 0, 0, 848, 0, 0, -2880, 0, -11508, 0, 0, -45460, -4000, 0, -5786, 0, 0, 13084, -12136, 0, 0, -12464, 0, 0, -12932, 0, 3908, -24336, 0, -35916, 0, 0, -7280, -7484, 0, 0, -21264, 0, 10676, -36264, 0, 20484, 7112, 0, 0, 0, 0, 3468, 6132, 0, 0, 0], 'weight': 3, '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: 18158617
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 38, 'source_dim': 112, 'source_embedding_index': 8, 'source_hecke_orbit_code': 1511878819945, 'source_is_minimal': True, 'source_label': '105.3.w.a.38.8', 'source_level': 105, 'target_conrey_index': 38, 'target_dim': 112, 'target_embedding_index': 8, 'target_hecke_orbit_code': 1511878819945, 'target_is_minimal': True, 'target_label': '105.3.w.a.38.8', 'target_level': 105, 'twist_class_label': '105.3.w.a.17.8', 'twist_class_level': 105, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 18158618
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 38, 'source_dim': 112, 'source_embedding_index': 8, 'source_hecke_orbit_code': 1511878819945, 'source_is_minimal': True, 'source_label': '105.3.w.a.38.8', 'source_level': 105, 'target_conrey_index': 38, 'target_dim': 112, 'target_embedding_index': 21, 'target_hecke_orbit_code': 1511878819945, 'target_is_minimal': True, 'target_label': '105.3.w.a.38.21', 'target_level': 105, 'twist_class_label': '105.3.w.a.17.8', 'twist_class_level': 105, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 18158619
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 38, 'source_dim': 112, 'source_embedding_index': 8, 'source_hecke_orbit_code': 1511878819945, 'source_is_minimal': True, 'source_label': '105.3.w.a.38.8', 'source_level': 105, 'target_conrey_index': 17, 'target_dim': 112, 'target_embedding_index': 8, 'target_hecke_orbit_code': 1511878819945, 'target_is_minimal': True, 'target_label': '105.3.w.a.17.8', 'target_level': 105, 'twist_class_label': '105.3.w.a.17.8', 'twist_class_level': 105, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 18158620
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 38, 'source_dim': 112, 'source_embedding_index': 8, 'source_hecke_orbit_code': 1511878819945, 'source_is_minimal': True, 'source_label': '105.3.w.a.38.8', 'source_level': 105, 'target_conrey_index': 68, 'target_dim': 112, 'target_embedding_index': 21, 'target_hecke_orbit_code': 1511878819945, 'target_is_minimal': True, 'target_label': '105.3.w.a.68.21', 'target_level': 105, 'twist_class_label': '105.3.w.a.17.8', 'twist_class_level': 105, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 18158621
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 38, 'source_dim': 112, 'source_embedding_index': 8, 'source_hecke_orbit_code': 1511878819945, 'source_is_minimal': True, 'source_label': '105.3.w.a.38.8', 'source_level': 105, 'target_conrey_index': 17, 'target_dim': 112, 'target_embedding_index': 21, 'target_hecke_orbit_code': 1511878819945, 'target_is_minimal': True, 'target_label': '105.3.w.a.17.21', 'target_level': 105, 'twist_class_label': '105.3.w.a.17.8', 'twist_class_level': 105, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 18158622
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 38, 'source_dim': 112, 'source_embedding_index': 8, 'source_hecke_orbit_code': 1511878819945, 'source_is_minimal': True, 'source_label': '105.3.w.a.38.8', 'source_level': 105, 'target_conrey_index': 68, 'target_dim': 112, 'target_embedding_index': 8, 'target_hecke_orbit_code': 1511878819945, 'target_is_minimal': True, 'target_label': '105.3.w.a.68.8', 'target_level': 105, 'twist_class_label': '105.3.w.a.17.8', 'twist_class_level': 105, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 18158623
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 38, 'source_dim': 112, 'source_embedding_index': 8, 'source_hecke_orbit_code': 1511878819945, 'source_is_minimal': True, 'source_label': '105.3.w.a.38.8', 'source_level': 105, 'target_conrey_index': 47, 'target_dim': 112, 'target_embedding_index': 21, 'target_hecke_orbit_code': 1511878819945, 'target_is_minimal': True, 'target_label': '105.3.w.a.47.21', 'target_level': 105, 'twist_class_label': '105.3.w.a.17.8', 'twist_class_level': 105, 'twisting_char_label': '35.12', 'twisting_conrey_index': 12, 'weight': 3}
  • id: 18158624
    {'conductor': 105, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 38, 'source_dim': 112, 'source_embedding_index': 8, 'source_hecke_orbit_code': 1511878819945, 'source_is_minimal': True, 'source_label': '105.3.w.a.38.8', 'source_level': 105, 'target_conrey_index': 47, 'target_dim': 112, 'target_embedding_index': 8, 'target_hecke_orbit_code': 1511878819945, 'target_is_minimal': True, 'target_label': '105.3.w.a.47.8', 'target_level': 105, 'twist_class_label': '105.3.w.a.17.8', 'twist_class_level': 105, 'twisting_char_label': '105.47', 'twisting_conrey_index': 47, 'weight': 3}
• hecke_orbit_code 1511878819945 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': 23, 'hecke_orbit': 1, 'label': '105.3.w.a', 'level': 105, 'portrait': 'data:image/png;base64,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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 13234176
    {'hecke_orbit_code': 1511878819945, 'n': 1, 'trace_an': 112}
  • id: 13234177
    {'hecke_orbit_code': 1511878819945, 'n': 2, 'trace_an': 0}
  • id: 13234178
    {'hecke_orbit_code': 1511878819945, 'n': 3, 'trace_an': -6}
  • id: 13234179
    {'hecke_orbit_code': 1511878819945, 'n': 4, 'trace_an': 0}
  • id: 13234180
    {'hecke_orbit_code': 1511878819945, 'n': 5, 'trace_an': 0}
  • id: 13234181
    {'hecke_orbit_code': 1511878819945, 'n': 6, 'trace_an': 0}
  • id: 13234182
    {'hecke_orbit_code': 1511878819945, 'n': 7, 'trace_an': -16}
  • id: 13234183
    {'hecke_orbit_code': 1511878819945, 'n': 8, 'trace_an': 0}
  • id: 13234184
    {'hecke_orbit_code': 1511878819945, 'n': 9, 'trace_an': 0}
  • id: 13234185
    {'hecke_orbit_code': 1511878819945, 'n': 10, 'trace_an': -60}
  • id: 13234186
    {'hecke_orbit_code': 1511878819945, 'n': 11, 'trace_an': 0}
  • id: 13234187
    {'hecke_orbit_code': 1511878819945, 'n': 12, 'trace_an': -30}
  • id: 13234188
    {'hecke_orbit_code': 1511878819945, 'n': 13, 'trace_an': 0}
  • id: 13234189
    {'hecke_orbit_code': 1511878819945, 'n': 14, 'trace_an': 0}
  • id: 13234190
    {'hecke_orbit_code': 1511878819945, 'n': 15, 'trace_an': -20}
  • id: 13234191
    {'hecke_orbit_code': 1511878819945, 'n': 16, 'trace_an': 120}
  • id: 13234192
    {'hecke_orbit_code': 1511878819945, 'n': 17, 'trace_an': 0}
  • id: 13234193
    {'hecke_orbit_code': 1511878819945, 'n': 18, 'trace_an': 46}
  • id: 13234194
    {'hecke_orbit_code': 1511878819945, 'n': 19, 'trace_an': 0}
  • id: 13234195
    {'hecke_orbit_code': 1511878819945, 'n': 20, 'trace_an': 0}
  • id: 13234196
    {'hecke_orbit_code': 1511878819945, 'n': 21, 'trace_an': -96}
  • id: 13234197
    {'hecke_orbit_code': 1511878819945, 'n': 22, 'trace_an': -80}
  • id: 13234198
    {'hecke_orbit_code': 1511878819945, 'n': 23, 'trace_an': 0}
  • id: 13234199
    {'hecke_orbit_code': 1511878819945, 'n': 24, 'trace_an': 0}
  • id: 13234200
    {'hecke_orbit_code': 1511878819945, 'n': 25, 'trace_an': 28}
  • id: 13234201
    {'hecke_orbit_code': 1511878819945, 'n': 26, 'trace_an': 0}
  • id: 13234202
    {'hecke_orbit_code': 1511878819945, 'n': 27, 'trace_an': 0}
  • id: 13234203
    {'hecke_orbit_code': 1511878819945, 'n': 28, 'trace_an': -136}
  • id: 13234204
    {'hecke_orbit_code': 1511878819945, 'n': 29, 'trace_an': 0}
  • id: 13234205
    {'hecke_orbit_code': 1511878819945, 'n': 30, 'trace_an': -80}
  • id: 13234206
    {'hecke_orbit_code': 1511878819945, 'n': 31, 'trace_an': -24}
  • id: 13234207
    {'hecke_orbit_code': 1511878819945, 'n': 32, 'trace_an': 0}
  • id: 13234208
    {'hecke_orbit_code': 1511878819945, 'n': 33, 'trace_an': -36}
  • id: 13234209
    {'hecke_orbit_code': 1511878819945, 'n': 34, 'trace_an': 0}
  • id: 13234210
    {'hecke_orbit_code': 1511878819945, 'n': 35, 'trace_an': 0}
  • id: 13234211
    {'hecke_orbit_code': 1511878819945, 'n': 36, 'trace_an': -272}
  • id: 13234212
    {'hecke_orbit_code': 1511878819945, 'n': 37, 'trace_an': 60}
  • id: 13234213
    {'hecke_orbit_code': 1511878819945, 'n': 38, 'trace_an': 0}
  • id: 13234214
    {'hecke_orbit_code': 1511878819945, 'n': 39, 'trace_an': 0}
  • id: 13234215
    {'hecke_orbit_code': 1511878819945, 'n': 40, 'trace_an': -72}
  • id: 13234216
    {'hecke_orbit_code': 1511878819945, 'n': 41, 'trace_an': 0}
  • id: 13234217
    {'hecke_orbit_code': 1511878819945, 'n': 42, 'trace_an': 338}
  • id: 13234218
    {'hecke_orbit_code': 1511878819945, 'n': 43, 'trace_an': -48}
  • id: 13234219
    {'hecke_orbit_code': 1511878819945, 'n': 44, 'trace_an': 0}
  • id: 13234220
    {'hecke_orbit_code': 1511878819945, 'n': 45, 'trace_an': 384}
  • id: 13234221
    {'hecke_orbit_code': 1511878819945, 'n': 46, 'trace_an': 40}
  • id: 13234222
    {'hecke_orbit_code': 1511878819945, 'n': 47, 'trace_an': 0}
  • id: 13234223
    {'hecke_orbit_code': 1511878819945, 'n': 48, 'trace_an': 0}
  • id: 13234224
    {'hecke_orbit_code': 1511878819945, 'n': 49, 'trace_an': 0}
  • id: 13234225
    {'hecke_orbit_code': 1511878819945, 'n': 50, 'trace_an': 0}
  • id: 13234226
    {'hecke_orbit_code': 1511878819945, 'n': 51, 'trace_an': 176}
  • id: 13234227
    {'hecke_orbit_code': 1511878819945, 'n': 52, 'trace_an': -204}
  • id: 13234228
    {'hecke_orbit_code': 1511878819945, 'n': 53, 'trace_an': 0}
  • id: 13234229
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  • id: 13234230
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  • id: 13234231
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  • id: 13234232
    {'hecke_orbit_code': 1511878819945, 'n': 57, 'trace_an': 344}
  • id: 13234233
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  • id: 13234234
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  • id: 13234235
    {'hecke_orbit_code': 1511878819945, 'n': 60, 'trace_an': -214}
  • id: 13234236
    {'hecke_orbit_code': 1511878819945, 'n': 61, 'trace_an': -912}
  • id: 13234237
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  • id: 13234238
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  • id: 13234239
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  • id: 13234240
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  • id: 13234241
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  • id: 13234242
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  • id: 13234243
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  • id: 13234244
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  • id: 13234245
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  • id: 13234246
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  • id: 13234247
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  • id: 13234248
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  • id: 13234249
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  • id: 13234250
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  • id: 13234251
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  • id: 13234252
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  • id: 13234253
    {'hecke_orbit_code': 1511878819945, 'n': 78, 'trace_an': 664}
  • id: 13234254
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  • id: 13234255
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  • id: 13234256
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  • id: 13234257
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  • id: 13234258
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  • id: 13234259
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  • id: 13234260
    {'hecke_orbit_code': 1511878819945, 'n': 85, 'trace_an': 264}
  • id: 13234261
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  • id: 13234262
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  • id: 13234263
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  • id: 13234264
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  • id: 13234265
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  • id: 13234266
    {'hecke_orbit_code': 1511878819945, 'n': 91, 'trace_an': 632}
  • id: 13234267
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  • id: 13234268
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  • id: 13234269
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  • id: 13234270
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  • id: 13234271
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  • id: 13234272
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  • id: 13234273
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  • id: 13234274
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  • id: 13234275
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  • id: 13234276
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  • id: 13234277
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  • id: 13234278
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  • id: 13234279
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  • id: 13234280
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  • id: 13234281
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  • id: 13234282
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  • id: 13234283
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  • id: 13234284
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  • id: 13234285
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  • id: 13234286
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  • id: 13234287
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  • id: 13234288
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  • id: 13234289
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  • id: 13234290
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  • id: 13234291
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  • id: 13234292
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  • id: 13234293
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  • id: 13234294
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  • id: 13234295
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  • id: 13234296
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  • id: 13234297
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  • id: 13234298
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  • id: 13234299
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  • id: 13234300
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  • id: 13234301
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  • id: 13234302
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  • id: 13234303
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  • id: 13234304
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  • id: 13234305
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  • id: 13234306
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  • id: 13234307
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  • id: 13234308
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  • id: 13234309
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  • id: 13234310
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  • id: 13234311
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  • id: 13234312
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  • id: 13234313
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  • id: 13234314
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  • id: 13234315
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  • id: 13234316
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  • id: 13234317
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  • id: 13234318
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  • id: 13234319
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  • id: 13234320
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  • id: 13234321
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  • id: 13234322
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  • id: 13234323
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  • id: 13234324
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  • id: 13234325
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  • id: 13234326
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  • id: 13234327
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  • id: 13234328
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  • id: 13234329
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  • id: 13234330
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  • id: 13234331
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  • id: 13234332
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  • id: 13234333
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  • id: 13234334
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  • id: 13234335
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  • id: 13234336
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  • id: 13234337
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  • id: 13234338
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  • id: 13234339
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  • id: 13234340
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  • id: 13234341
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  • id: 13234342
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  • id: 13234343
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  • id: 13234344
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  • id: 13234345
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  • id: 13234346
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  • id: 13234347
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  • id: 13234348
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  • id: 13234349
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  • id: 13234350
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  • id: 13234351
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  • id: 13234352
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  • id: 13234353
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  • id: 13234354
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  • id: 13234355
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  • id: 13234356
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  • id: 13234357
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  • id: 13234358
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  • id: 13234359
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  • id: 13234360
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  • id: 13234361
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  • id: 13234362
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  • id: 13234363
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  • id: 13234364
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  • id: 13234365
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  • id: 13234366
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  • id: 13234367
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  • id: 13234368
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  • id: 13234369
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  • id: 13234370
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  • id: 13234371
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  • id: 13234372
    {'hecke_orbit_code': 1511878819945, 'n': 607, 'trace_an': 9912}
  • id: 13234373
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  • id: 13234374
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  • id: 13234375
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  • id: 13234376
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  • id: 13234377
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  • id: 13234378
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  • id: 13234379
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  • id: 13234380
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  • id: 13234381
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  • id: 13234382
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  • id: 13234383
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  • id: 13234384
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  • id: 13234385
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  • id: 13234386
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  • id: 13234387
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  • id: 13234388
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  • id: 13234389
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  • id: 13234390
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  • id: 13234391
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  • id: 13234392
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  • id: 13234393
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  • id: 13234394
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  • id: 13234395
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  • id: 13234396
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  • id: 13234397
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  • id: 13234398
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  • id: 13234399
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  • id: 13234400
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  • id: 13234401
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  • id: 13234402
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  • id: 13234403
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  • id: 13234404
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  • id: 13234405
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  • id: 13234406
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  • id: 13234407
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  • id: 13234408
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  • id: 13234409
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  • id: 13234410
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  • id: 13234411
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  • id: 13234412
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  • id: 13234413
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  • id: 13234414
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  • id: 13234415
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  • id: 13234416
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  • id: 13234417
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  • id: 13234418
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  • id: 13234419
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  • id: 13234420
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  • id: 13234421
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  • id: 13234422
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  • id: 13234423
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  • id: 13234424
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  • id: 13234425
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  • id: 13234426
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  • id: 13234427
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  • id: 13234428
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  • id: 13234429
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  • id: 13234430
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  • id: 13234431
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  • id: 13234432
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  • id: 13234433
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