Embedded newform data - 680.2.h.b.509.14

Formats: - HTML - YAML - JSON - 2025-09-13T01:44:54.203315

• 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': 2720, 'analytic_conductor': 5.429827337447066, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 680, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [680, 2, [511, 341, 137, 241], [2, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 509, 'dim': 40, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [324, 0, 738, 0, 554, 0, 169, 0, 22, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504080697262760, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 17, 2, 1, 2, 0], [1, 1, 40, 6, 1, 2, 0], [1, 1, 85, 3, 1, 2, 0], [1, 1, 136, 8, 1, 2, 0], [1, 1, 680, 8, 1, 2, 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': '680.2.h.b', 'level': 680, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 17], 'level_radical': 170, 'minimal_twist': '680.2.h.b', 'prim_orbit_index': 8, 'related_objects': [], 'relative_dim': 40, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '680.2.h', 'trace_display': [0, 0, 0, 0], 'traces': [40, 0, 0, 12, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 56, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, -28, 0, 0, 0, 24, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, -16, 0, 0, 0, 0, -88, 0, 0, 0, 0, -88, 0, 0, 0, -132, 0, 208, 0, 0, 0, 72, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, -56, 0, 0, 144, 0, 256, 0, 0, -96, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -36, 0, 0, 0, -180, 0, -20, 0, 0, 0, -72, -240, 0, 0, 0, 0, 0, 0, 0, -128, 164, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, -304, 136, 0, 0, 0, -40, 0, 0, 0, 120, -296, 0, 0, 0, 0, 0, 272, 0, 0, -80, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, -16, 0, 0, 232, 44, 0, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, -44, 0, 0, 0, 0, 128, 0, 0, 0, 0, -228, 0, 0, 0, -272, 0, 0, 0, -4, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 64, 0, 0, 0, 0, -120, 0, 0, 0, -144, 0, -148, 0, 0, 64, -120, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 124, 72, -52, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, -124, 304, 0, 0, -272, 0, 208, 0, 0, 0, 56, 336, 0, 0, 0, 0, 0, 0, 0, -328, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 188, 56, -88, 0, 0, 0, 120, 0, 0, 0, -184, 0, 0, 0, 0, 416, 0, -64, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -104, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, -128, 0, -520, 0, 0, 0, 0, -44, 0, 0, 0, 112, 0, 0, 0, -64, 152, 124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, -208, 0, 0, 0, 0, 0, 0, 0, -192, 76, 0, 0, 0, -192, 0, -208, 0, 0, -288, 208, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 156, 168, 660, 0, 0, 0, 0, 0, 0, 0, 528, 0, 0, 0, 0, 0, 24, 8, 0, 0, -176, 0, 396, 0, 0, 0, 32, 0, 0, 0, 0, 128, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 192, 0, 0, 0, -140, 0, 0, 0, 156, 0, 0, 0, 0, 288, 0, 0, 0, 0, -508, -200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 88, -800, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, -212, 0, 0, 104, 0, 0, 0, 0, 0, -88, 224, 0, 0, 0, -96, 0, 0, 0, -200, -104, -448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 184, -208, 0, 0, 0, 0, 0, 0, 0, -176, 164, 0, 0, 0, 336, 0, -168, 0, 0, 0, 140, 0, 0, 0, 0, 0, -196, 0, 0, 0, 0, 192, 0, 0, -96, 0, -208, 0, 0, 240, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, -112, 0, 0, 0, -96, 0, -224, 0, 0, 0, 292, 0, 0, 0, 0, 152, 0, 0, 0, 0, -56, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 272, 0, 0, 0, -164, 0, 0, 0, -268, 88, 0, 0, 0, 0, 0, 0, 0, 0, 48, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, -256, -68, -160, 0, 0, 784, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 8, -572, 0, 0, 0, 0, 0, 0, 0, 0, -48, 304, 0, 0, 0, -8, 0, 0, 0, 32, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, -4, 0, 0, 0, 0, -8, 0, 0, 0, 0, 256, 0, 0, 0, 404, 0, -248, 0, 0, 0, -204, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, -576, 0, 0, -256, 0, -628, 0, 0, 304, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, -252, 0, 0, 0, 668, 0, -432, 0, 0, 0, 408, 416, 0, 0, 0, 0, 0, 0, 0, 208, 128, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 200, -132, 0, 0, 0, 128, 0, 0, 0, -56, 400, 0, 0, 0, 0, 0, -592, 0, 0, 816, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 384, 0, 0, -992, -296, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, -192, 0, 0, 0, 0, -672, 0, 0, 0, 0, -812, 0, 0, 0, 8, 0, 0, 0, 656, 0, 416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, -456, 0, 0, 0, 0, 32, 0, 0, 0, -144, 0, 704, 0, 0, 16, -72, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 120, 560, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 192, -192, 0, 0, 224, 0, 32, 0, 0, 0, 168, -392, 0, 0, 0, 0, 0, 0, 0, 816, -372, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, -232, -100, 0, 0, 0, 504, 0, 0, 0, 32, 0, 0, 0, 0, 224, 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], [-0.6153683830577017, -0.7882396546310961], [0.0, 1.7947081269007286], [-0.2426435062658993, 0.9701155234645977], [0.2848416663998981, -0.9585745798228373], [1.4146601141118518, -1.104406638111418], [-0.5227110596539313, 0.0], [0.9139986672782973, -0.40571718747607477], [-2.2209772607635214, 0.0], [-0.930869051417668, 0.3653529924781937], [0.9558070182354775, 0.0], [-1.741074213994468, -0.43547427263509736], [-1.3016704717877068, 0.0], [0.32165985958561755, 0.41202158513346904], [1.7203615886484973, 0.5112076535678433], [-0.882248257733981, -0.47078446419285663], [-0.36607748037464527, 0.930584374660649], [1.366719185763972, 1.7506623489677562], [0.0, 1.7666148653340676], [0.8608130996187958, 0.5089212193696399], [0.0, -0.9381137867818019], [-0.588173419326769, -0.7534049939479106], [-1.0322452295104552, 0.0], [0.7281439335866179, 1.640360836140795], [-0.8377304501650583, -0.5460839613706382], [0.801006853497957, 1.026028283125438], [0.0, -2.1912978126532825], [0.12683244427839352, -0.5070901132569081], [-0.3176619760995312, 0.0], [-0.655701984788115, -1.6706382516596607], [0.0, -1.1013998233524804], [0.17181670035617144, 0.9851289364741641], [0.0, 1.7153946233759645], [0.9587960132595875, -0.28409541523495385], [-0.1488898892774823, 0.5010575343765172], [0.5389057098884934, -2.154604517928572], [0.0, 0.6553759801620102], [1.3925158913170856, -1.0871189331663247], [0.0, -2.336118574264103], [-0.12856527903694545, -0.9917010482126921], [0.0, -0.7423529985925171], [-0.7394584872975573, 0.577285564096055], [-1.5847546394168581, 0.0], [-0.23192036621821063, 0.9272432258266466], [-0.6326268639921625, 2.128972344532469], [0.635211077802875, 0.8136566232039176], [0.0, -0.8388975463486504], [0.8449207039055249, -1.5833781180991842], [-0.7267731481154643, 0.0], [0.08506779944589982, 0.9963751650344523], [-1.6701273399702992, -0.6570022291037179], [0.31584188727735657, -1.262770731116741], [-0.11767516571505886, 0.0], [-1.7272678310396996, 1.348455391770329], [0.2722536638309112, -0.916212310896792], [-0.4777572118953197, 0.2120728609854317], [-3.1705580559186872, 0.0], [0.1954791365912828, 0.25039376633012594], [0.0, 0.44370839955830227], [-0.9133650483549212, 1.5449082656284592], [-0.5556631867967969, 0.0], [-0.8681670163701094, 0.6777666283964542], [1.160929377440986, 0.0], [0.6707871275730072, -0.7416499372900628], [-0.370769986287552, 1.2477482255616956], [1.3521420654859093, -1.0555996156927425], [0.9377735058969647, 0.0], [-0.813948024348801, -0.5809377020461692], [0.0, -1.8525789023569215], [0.486575548265579, -0.1909740498460114], [0.0, 1.5228823968438352], [-2.0299702563932622, 0.9010886476852926], [0.9708175402077319, 0.0], [0.5165933362564189, -0.4032976572071526], [0.980061323442028, -1.503481647063436], [-1.7138205048438988, -0.42865762514611766], [-0.49961089932653086, 0.0], [-1.8414212981552252, 1.4375735096759645], [0.0, -1.055067139055115], [-0.7025830838621411, 0.7116017216609046], [1.7117627320651143, 0.0], [-0.5851520712249243, 0.4568205644019136], [0.6522628466043633, 0.0], [0.9100787473331837, 0.22762721850111667], [0.7877604063886395, 0.615981770936775], [0.9752079000011431, 1.2491664496489714], [0.0, -0.5701105301131736], [0.8736063408424697, -0.38778733520839126], [-0.9174833666007464, 0.0], [2.0674389959471497, -0.8114406884459742], [0.6803975516283848, 0.0], [0.25046760181466476, -1.001397121170369], [1.9766912139377233, 0.0], [-0.6612523122047341, 0.5162310266476424], [1.693432102246382, 0.5032055221285874], [-1.7680189083352538, 0.3083608284664882], [1.0929858721771968, 0.0], [0.4472332170055689, 0.5728714152656881], [-2.1228256531791803, 0.0], [0.7330343817744579, -0.6801915870815651], [0.0, 1.0264903143627058], [0.5098683505374088, 1.7207589970370005], [0.0, 1.4101262336911942], [-1.1897250764494764, 0.5281100828343637], [-0.8992520289903766, -0.26721389429964715], [0.07241357645212287, 0.09275623198189499], [0.0, 0.37893015828664894], [2.125812024588967, 0.5317041845349881], [0.06764868595240742, 0.0], [-0.8897311724032086, 0.3492069543439912], [-1.1762085977722903, 0.0], [0.4611609216779638, 0.24608424614685634], [-0.14123063485867815, 0.0], [1.9510611842612529, 2.4991595869851855], [-0.2940264513071033, 0.9894840371521127], [0.07707861568814456, -0.3081688142285952], [2.890980518847822, 0.0], [0.3497485556247526, -0.2730441203853131], [0.19135274768207206, -0.4864267445762588], [1.7798139306832899, -0.2307371511248659], [-0.08643294389180542, 0.0], [0.34193755678383464, 0.4379957584519215], [1.3323069596031156, 0.0], [1.068485066175407, 0.267247514938888], [-0.7620827412378021, 0.647479648720697], [-0.7143992338400438, -0.9150905715251761], [0.0, 0.8919165113366094], [-0.9973790804972149, -0.07235309106410036], [0.0, -2.8441720305050686], [1.211684757331411, -0.4755692020881409], [-1.4248090191708895, 0.0], [-1.6641309530047304, -0.41622936604561583], [0.0, -0.9234291282591575], [-0.5770761659981674, -0.7391902644104157], [-2.1005223800308226, -0.6241729205346126], [0.0429597460134775, 0.9990768039657699], [0.0, -0.6416249075793709], [-1.460276154170675, 1.1400184836301908], [1.8483341229081063, 0.0], [-0.44995652746572584, -0.26601874985707524], [1.5055762440690035, 0.0], [1.2003962945319606, -0.9371336781328282], [-1.2441457723645755, 0.0], [1.9594533187754064, 1.0456015896930728], [-0.09048336662407507, 0.3045026952653003], [-0.5974104199616873, -0.7652368826031529], [0.0, -1.3043456753360507], [-0.6357904120609923, -0.1590227257489606], [0.0, 1.333381364530176], [-1.7882026061293863, 0.1526718710031177], [-0.21747720689997888, 0.0], [0.7167460145167625, 1.6146836325093663], [0.8130497595896915, -2.066806735343143], [0.3074447512765715, 0.393813122735076], [-1.0557738728870512, -0.3137245610562739], [2.26630489354759, 0.5668440019123356], [-0.5945356384005982, 0.0], [-0.8316457573014224, 0.6492549593776614], [0.0, -0.21119257624320611], [0.9932601115968243, 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-0.2979082428259152], [-0.04164684327114669, 0.16650867679253692], [0.0, -0.5449156458521199], [1.3421231452493727, -1.0477779757768628], [0.0, 0.33538443534116863], [1.5331335326472522, -0.9329945508072803], [-0.21308157088087498, 0.0], [-0.6724342917272783, 0.5249606517277111], [0.0, -0.8415952649721692], [1.0911142931362847, 0.2729074954680776], [0.04761177475261333, -0.1602273907288243], [0.763302495933921, -0.5959002696034048], [0.0, 0.6383342168570882], [-0.07899959552605, 0.03506733090106067], [1.1606699044922468, -2.9504717857923746], [-1.0174267220464996, 0.3993256591363274], [0.0, -1.4490731023528178], [-0.8544939286863249, -0.2137244461349345], [-0.9661446879798158, 0.0], [0.599643105029314, 0.7680967807634407], [-1.2757168852656688, 1.9570376648572212], [0.49023287843838576, 0.26159759566782526], [0.0, -0.7181149773617455], [0.32540728019780346, 0.4168217432345879], [-0.8769370409113069, 0.0], [-0.625615846348983, -0.369870276744034], [-0.15024619322082955, 0.0], [0.4476002986315312, -0.34943569561206356], [0.30409094211226967, 0.0], [1.217726785482848, -0.5405398325049764], [0.5177035545093228, 0.1538362755194698], [-0.3045730362483929, 0.09024631100435229], [-0.7869813539270946, 0.0], [2.2308295450996036, 0.557970973159345], [1.6358554164826131, 0.0], [1.976072702099995, -0.7755807048984897], [0.0, -0.6401761079346194], [1.0850208366120613, -0.18923888342129327], [-2.950019130422128, 0.0], [-0.6274604191194536, 0.48985013793419674], [-0.05817593731922815, -0.017287054423504103], [-1.135638022969486, -0.2840436886919332], [0.0, -1.8172419854865347], [-0.4994365126376124, -0.6397398291337248], [1.4361239517945137, 0.0], [-0.43384898782018455, 0.9009856024195955]], 'angles': [None, 0.17725672571358522, None, -0.2920847491531372, -0.17069842726858955, -0.36279056866118464, None, 0.17234429911155075, -0.33631256021698813, -0.27538624752413227, -0.40718043585161456, 0.05313473842998274, -0.4394772406972958, -0.3955784278620363, -0.4311116913045419, -0.259369703565581, 0.03560545123891374, -0.2948078610130227, -0.17232761805824967, 0.1377539333696092, -0.16933539615769277, -0.41155844713618395, -0.19712739994703876, -0.3258498344187256, -0.1579812644055949, 0.08577841895712683, 0.12454067608257173, 0.03033769023028291, -0.24461566159430473, -0.26124813825186055, 0.07356851110693094, -0.3761969197892208, -0.448022039569388, -0.0623803103757162, 0.11614489169430371, -0.2673405741629495, -0.29803771023192294, 0.023532714308603462, -0.1541281394974967, -0.4952125044600512, -0.4775053029348535, -0.38090670733540233, -0.22516808519016526, -0.23668295479319687, 0.04351817061981797, -0.49516969792698, -0.2036188017228106, 0.010874753366686083, -0.4921405392734779, -0.4315402155849097, -0.23001476252833278, -0.23632466146487044, -0.4049461722075577, 0.02549246974825074, 0.030501686160877447, 0.09736171402383208, -0.1283072225651957, -0.1318371219866088, 0.11678310022962606, -0.17184756116412198, 0.11913876727518621, -0.23680047341619523, -0.2629756281670245, -0.49134890250770075, -0.30644884225815416, 0.020447153166123826, 0.15353340208676125, -0.11114818312244192, -0.42035979963041686, -0.3463260239142254, 0.0538015364025649, -0.0940746658199462, -0.32007052823373355, -0.3005341884575607, -0.3473379978262599, -0.3962512076180037, 0.0808008884306633, -0.3403293690897906, 0.11342091405019247, -0.3223068508159036, -0.2763788172340209, -0.435972849677081, -0.43458651543394705, -0.4927044258525593, -0.4916558108785299, -0.24809227499550524, 0.08541058492468973, -0.3650423017789771, -0.4800325051991655, -0.4661837884444132, -0.23437148597221427, 0.1621053911277915, -0.33099503343143716, 0.045818169851772915, -0.1834959751916502, -0.37108926127756064, -0.4461425933052551, -0.46571062627420884, -0.1724170602772826, -0.4006885720580891, 0.05581603027855933, -0.42649547100996466, -0.28300274473989084, -0.40940432718172703, -0.31982771594147685, -0.4817183866586158, -0.08567554950131298, -0.4823530026318445, -0.2405398312553061, -0.4259940565013964, -0.35182095637917954, -0.2908569359827318, -0.3578720692952506, -0.25765013873326287, -0.2903425136079317, 0.006223627358097572, -0.386936493102864, 0.12114052893152709, -0.4754670385976796, 0.08629590686840383, -0.49788975672619484, -0.30330784410602085, 0.0631128652281091, -0.43269139316870936, -0.24491183082599027, 0.13707445301641202, -0.37073353703239303, 0.06870594053249329, -0.4072148921531433, -0.15462509391495188, -0.49947915691291783, -0.12191113326968453, 0.010919294220474766, -0.31155513969167054, -0.155274021554282, -0.1707929793088523, -0.20060446266084486, 0.18646164999017656, -0.2162880318933969, 0.0030535216533235203, -0.23454491675868655, -0.2083481372383635, -0.32428497878073653, 0.07582382772167752, 0.02663057105116857, 0.028570260642398808, -0.3784298678921076, -0.1646244994802543, -0.48060165580137953, -0.4463344450888982, -0.3169343141664819, -0.3736198100095738, -0.1936143514384679, -0.3752370829919788, -0.4783026134209557, -0.3041604087506641, -0.21558363041476403, -0.49791914451316455, 0.04169523351826305, -0.33789629597811766, 0.1489601678629834, 0.006494850987447784, 0.051701562827930744, -0.37102692222329353, -0.4415490987202499, -0.22570699097052246, -0.4481437497288774, -0.31856813004508855], 'char_orbit_index': 8, 'conrey_index': 509, 'dual_conrey_index': 509, 'dual_embedding_index': 15, 'dual_embedding_m': 15, 'embedding_index': 14, 'embedding_m': 14, 'hecke_orbit': 2, 'hecke_orbit_code': 4504080697262760, 'label': '680.2.h.b.509.14', 'level': 680, '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': 2720, 'analytic_conductor': 5.429827337447066, 'char_conductor': 680, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [680, 2, [511, 341, 137, 241], [2, 1, 1, 1]], 'conrey_index': 509, 'cusp_dim': 104, 'dim': 104, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 481069892264, 'hecke_orbit_dims': [16, 40, 48], 'label': '680.2.h', 'level': 680, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 17], 'level_radical': 170, 'mf_dim': 112, 'mf_new_dim': 112, 'num_forms': 3, 'prim_orbit_index': 8, 'relative_dim': 104, 'sturm_bound': 216, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [104, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 8, -16, 0, 0, 0, 0, 0, 0, 0, 0, -8, -4, 0, 0, 0, -28, 0, 0, 0, 4, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, -28, 0, 0, 0, 0, -24, 0, 0, 0, 0, -40, 0, 0, 0, 24, 0, 64, 0, 0, 0, -68, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 88, 0, 0, -48, 0, 40, 0, 0, -48, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 4, 0, 0, 0, -4, 0, 12, 0, 0, 0, -32, -48, 0, 0, 0, 0, 0, 0, 0, -48, 116, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 32, 100, 0, 0, 0, -20, 0, 0, 0, -12, -64, 0, 0, 0, 0, 0, 112, 0, 0, 112, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, -56, 0, 0, 8, 20, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 96, 0, 0, 0, 0, -136, 0, 0, 0, -108, 0, 0, 0, 92, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, -8, 0, 0, 0, 0, -4, 0, 0, 0, -192, 0, 132, 0, 0, -128, -216, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 148, -120, 16, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 20, 144, 0, 0, -64, 0, 112, 0, 0, 0, -36, -112, 0, 0, 0, 0, 0, 0, 0, 8, -188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 204, 80, -244, 0, 0, 0, 124, 0, 0, 0, -104, 0, 0, 0, 0, -128, 0, 80, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, -160, 0, -168, 0, 0, 0, 0, 340, 0, 0, 0, 188, 0, 0, 0, -168, -184, 156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, -128, 0, 0, 0, 0, 0, 0, 0, 288, -20, 0, 0, 0, -224, 0, -440, 0, 0, -32, 240, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 44, 0, 84, 0, 0, 0, 0, 0, 0, 0, 392, 0, 0, 0, 0, 0, 152, -232, 0, 0, -80, 0, -28, 0, 0, 0, -4, 0, 0, 0, 0, -48, 0, 0, 0, 0, -260, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -424, 0, -176, 0, 0, 0, 148, 0, 0, 0, 16, 0, 0, 0, 0, 48, 0, 0, 0, 0, -284, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, -56, -288, 0, 0, 112, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, -124, 0, 0, 200, 0, 0, 0, 0, 0, 216, 424, 0, 0, 0, 336, 0, 0, 0, -116, -64, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 100, 32, 0, 0, 0, 0, 0, 0, 0, 96, 116, 0, 0, 0, 352, 0, -660, 0, 0, 0, 312, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 384, 0, 0, -144, 0, 80, 0, 0, 144, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, -76, 0, 0, 0, 120, 0, -192, 0, 0, 0, 136, 0, 0, 0, 0, -56, 0, 0, 0, 0, 484, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -536, 0, 208, 0, 0, 0, -180, 0, 0, 0, -76, 392, 0, 0, 0, 0, 0, 0, 0, 0, -288, 128, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, -220, 0, 0, 192, 44, 176, 0, 0, 304, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -24, -476, 0, 0, 0, 0, 0, 0, 0, 0, 96, -328, 0, 0, 0, -316, 0, 0, 0, 320, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, -276, 0, 0, 0, 0, 88, 0, 0, 0, 0, 252, 0, 0, 0, 404, 0, 568, 0, 0, 0, -492, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 32, 0, 0, -384, 0, -348, 0, 0, -112, 0, 0, 0, 0, -488, 0, 0, 0, 0, 0, -108, 0, 0, 0, 200, 0, 48, 0, 0, 0, -100, 192, 0, 0, 0, 0, 0, 0, 0, 64, 540, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 528, -56, 348, 0, 0, 0, -240, 0, 0, 0, 264, 112, 0, 0, 0, 0, 0, -400, 0, 0, 288, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 264, 0, 0, -176, 72, 0, 0, 0, -408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 440, 0, 0, 0, 0, -288, 0, 0, 0, 0, -908, 0, 0, 0, -424, 0, 0, 0, 480, 0, 400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 16, 0, 0, 0, 0, -288, 0, 0, 0, -88, 0, 704, 0, 0, -208, -372, 0, 0, 0, 0, 0, -236, 0, 0, 0, 0, 0, 0, 0, 32, 344, -352, 0, 0, 0, 0, 0, 0, 0, -396, 0, 0, 0, 0, 0, 208, -672, 0, 0, -160, 0, -96, 0, 0, 0, -24, -184, 0, 0, 0, 0, 0, 0, 0, 144, -580, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 928, -80, -372, 0, 0, 0, 432, 0, 0, 0, -8, 0, 0, 0, 0, 704, 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: 35615500
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 509, 'source_dim': 40, 'source_embedding_index': 14, 'source_hecke_orbit_code': 4504080697262760, 'source_is_minimal': True, 'source_label': '680.2.h.b.509.14', 'source_level': 680, 'target_conrey_index': 509, 'target_dim': 40, 'target_embedding_index': 14, 'target_hecke_orbit_code': 4504080697262760, 'target_is_minimal': True, 'target_label': '680.2.h.b.509.14', 'target_level': 680, 'twist_class_label': '680.2.h.b.509.13', 'twist_class_level': 680, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 35615501
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 509, 'source_dim': 40, 'source_embedding_index': 14, 'source_hecke_orbit_code': 4504080697262760, 'source_is_minimal': True, 'source_label': '680.2.h.b.509.14', 'source_level': 680, 'target_conrey_index': 509, 'target_dim': 40, 'target_embedding_index': 27, 'target_hecke_orbit_code': 4504080697262760, 'target_is_minimal': True, 'target_label': '680.2.h.b.509.27', 'target_level': 680, 'twist_class_label': '680.2.h.b.509.13', 'twist_class_level': 680, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 35615502
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 509, 'source_dim': 40, 'source_embedding_index': 14, 'source_hecke_orbit_code': 4504080697262760, 'source_is_minimal': True, 'source_label': '680.2.h.b.509.14', 'source_level': 680, 'target_conrey_index': 509, 'target_dim': 40, 'target_embedding_index': 25, 'target_hecke_orbit_code': 4504080697262760, 'target_is_minimal': True, 'target_label': '680.2.h.b.509.25', 'target_level': 680, 'twist_class_label': '680.2.h.b.509.13', 'twist_class_level': 680, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 35615503
    {'conductor': 17, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 509, 'source_dim': 40, 'source_embedding_index': 14, 'source_hecke_orbit_code': 4504080697262760, 'source_is_minimal': True, 'source_label': '680.2.h.b.509.14', 'source_level': 680, 'target_conrey_index': 509, 'target_dim': 40, 'target_embedding_index': 13, 'target_hecke_orbit_code': 4504080697262760, 'target_is_minimal': True, 'target_label': '680.2.h.b.509.13', 'target_level': 680, 'twist_class_label': '680.2.h.b.509.13', 'twist_class_level': 680, 'twisting_char_label': '17.16', 'twisting_conrey_index': 16, 'weight': 2}
  • id: 35615504
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 509, 'source_dim': 40, 'source_embedding_index': 14, 'source_hecke_orbit_code': 4504080697262760, 'source_is_minimal': True, 'source_label': '680.2.h.b.509.14', 'source_level': 680, 'target_conrey_index': 509, 'target_dim': 40, 'target_embedding_index': 16, 'target_hecke_orbit_code': 4504080697262760, 'target_is_minimal': True, 'target_label': '680.2.h.b.509.16', 'target_level': 680, 'twist_class_label': '680.2.h.b.509.13', 'twist_class_level': 680, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 35615505
    {'conductor': 85, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 509, 'source_dim': 40, 'source_embedding_index': 14, 'source_hecke_orbit_code': 4504080697262760, 'source_is_minimal': True, 'source_label': '680.2.h.b.509.14', 'source_level': 680, 'target_conrey_index': 509, 'target_dim': 40, 'target_embedding_index': 28, 'target_hecke_orbit_code': 4504080697262760, 'target_is_minimal': True, 'target_label': '680.2.h.b.509.28', 'target_level': 680, 'twist_class_label': '680.2.h.b.509.13', 'twist_class_level': 680, 'twisting_char_label': '85.84', 'twisting_conrey_index': 84, 'weight': 2}
  • id: 35615506
    {'conductor': 136, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 509, 'source_dim': 40, 'source_embedding_index': 14, 'source_hecke_orbit_code': 4504080697262760, 'source_is_minimal': True, 'source_label': '680.2.h.b.509.14', 'source_level': 680, 'target_conrey_index': 509, 'target_dim': 40, 'target_embedding_index': 26, 'target_hecke_orbit_code': 4504080697262760, 'target_is_minimal': True, 'target_label': '680.2.h.b.509.26', 'target_level': 680, 'twist_class_label': '680.2.h.b.509.13', 'twist_class_level': 680, 'twisting_char_label': '136.101', 'twisting_conrey_index': 101, 'weight': 2}
  • id: 35615507
    {'conductor': 680, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 509, 'source_dim': 40, 'source_embedding_index': 14, 'source_hecke_orbit_code': 4504080697262760, 'source_is_minimal': True, 'source_label': '680.2.h.b.509.14', 'source_level': 680, 'target_conrey_index': 509, 'target_dim': 40, 'target_embedding_index': 15, 'target_hecke_orbit_code': 4504080697262760, 'target_is_minimal': True, 'target_label': '680.2.h.b.509.15', 'target_level': 680, 'twist_class_label': '680.2.h.b.509.13', 'twist_class_level': 680, 'twisting_char_label': '680.509', 'twisting_conrey_index': 509, 'weight': 2}
• hecke_orbit_code 4504080697262760 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': 8, 'hecke_orbit': 2, 'label': '680.2.h.b', 'level': 680, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 23038603
    {'hecke_orbit_code': 4504080697262760, 'n': 1, 'trace_an': 40}
  • id: 23038604
    {'hecke_orbit_code': 4504080697262760, 'n': 2, 'trace_an': 0}
  • id: 23038605
    {'hecke_orbit_code': 4504080697262760, 'n': 3, 'trace_an': 0}
  • id: 23038606
    {'hecke_orbit_code': 4504080697262760, 'n': 4, 'trace_an': 12}
  • id: 23038607
    {'hecke_orbit_code': 4504080697262760, 'n': 5, 'trace_an': 0}
  • id: 23038608
    {'hecke_orbit_code': 4504080697262760, 'n': 6, 'trace_an': 0}
  • id: 23038609
    {'hecke_orbit_code': 4504080697262760, 'n': 7, 'trace_an': 0}
  • id: 23038610
    {'hecke_orbit_code': 4504080697262760, 'n': 8, 'trace_an': 0}
  • id: 23038611
    {'hecke_orbit_code': 4504080697262760, 'n': 9, 'trace_an': -56}
  • id: 23038612
    {'hecke_orbit_code': 4504080697262760, 'n': 10, 'trace_an': 0}
  • id: 23038613
    {'hecke_orbit_code': 4504080697262760, 'n': 11, 'trace_an': 0}
  • id: 23038614
    {'hecke_orbit_code': 4504080697262760, 'n': 12, 'trace_an': 0}
  • id: 23038615
    {'hecke_orbit_code': 4504080697262760, 'n': 13, 'trace_an': 0}
  • id: 23038616
    {'hecke_orbit_code': 4504080697262760, 'n': 14, 'trace_an': 0}
  • id: 23038617
    {'hecke_orbit_code': 4504080697262760, 'n': 15, 'trace_an': 56}
  • id: 23038618
    {'hecke_orbit_code': 4504080697262760, 'n': 16, 'trace_an': -4}
  • id: 23038619
    {'hecke_orbit_code': 4504080697262760, 'n': 17, 'trace_an': 0}
  • id: 23038620
    {'hecke_orbit_code': 4504080697262760, 'n': 18, 'trace_an': 0}
  • id: 23038621
    {'hecke_orbit_code': 4504080697262760, 'n': 19, 'trace_an': 0}
  • id: 23038622
    {'hecke_orbit_code': 4504080697262760, 'n': 20, 'trace_an': 0}
  • id: 23038623
    {'hecke_orbit_code': 4504080697262760, 'n': 21, 'trace_an': 0}
  • id: 23038624
    {'hecke_orbit_code': 4504080697262760, 'n': 22, 'trace_an': 0}
  • id: 23038625
    {'hecke_orbit_code': 4504080697262760, 'n': 23, 'trace_an': 0}
  • id: 23038626
    {'hecke_orbit_code': 4504080697262760, 'n': 24, 'trace_an': 0}
  • id: 23038627
    {'hecke_orbit_code': 4504080697262760, 'n': 25, 'trace_an': 0}
  • id: 23038628
    {'hecke_orbit_code': 4504080697262760, 'n': 26, 'trace_an': -36}
  • id: 23038629
    {'hecke_orbit_code': 4504080697262760, 'n': 27, 'trace_an': 0}
  • id: 23038630
    {'hecke_orbit_code': 4504080697262760, 'n': 28, 'trace_an': 0}
  • id: 23038631
    {'hecke_orbit_code': 4504080697262760, 'n': 29, 'trace_an': 0}
  • id: 23038632
    {'hecke_orbit_code': 4504080697262760, 'n': 30, 'trace_an': -28}
  • id: 23038633
    {'hecke_orbit_code': 4504080697262760, 'n': 31, 'trace_an': 0}
  • id: 23038634
    {'hecke_orbit_code': 4504080697262760, 'n': 32, 'trace_an': 0}
  • id: 23038635
    {'hecke_orbit_code': 4504080697262760, 'n': 33, 'trace_an': 0}
  • id: 23038636
    {'hecke_orbit_code': 4504080697262760, 'n': 34, 'trace_an': 24}
  • id: 23038637
    {'hecke_orbit_code': 4504080697262760, 'n': 35, 'trace_an': 0}
  • id: 23038638
    {'hecke_orbit_code': 4504080697262760, 'n': 36, 'trace_an': 88}
  • id: 23038639
    {'hecke_orbit_code': 4504080697262760, 'n': 37, 'trace_an': 0}
  • id: 23038640
    {'hecke_orbit_code': 4504080697262760, 'n': 38, 'trace_an': 0}
  • id: 23038641
    {'hecke_orbit_code': 4504080697262760, 'n': 39, 'trace_an': 0}
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  • id: 23038658
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  • id: 23038659
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  • id: 23038660
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  • id: 23038663
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  • id: 23038664
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  • id: 23038667
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  • id: 23038688
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  • id: 23038698
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  • id: 23038710
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  • id: 23038711
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  • id: 23038712
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  • id: 23038713
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  • id: 23038714
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  • id: 23038715
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  • id: 23038716
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  • id: 23038717
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  • id: 23038718
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  • id: 23038719
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  • id: 23038720
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  • id: 23038721
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  • id: 23038722
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  • id: 23038723
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  • id: 23038724
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  • id: 23038725
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  • id: 23038726
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  • id: 23038727
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  • id: 23038728
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  • id: 23038729
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  • id: 23038730
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  • id: 23038731
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  • id: 23038732
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  • id: 23038733
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  • id: 23038734
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  • id: 23038735
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  • id: 23038736
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  • id: 23038737
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  • id: 23038738
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  • id: 23038739
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  • id: 23038740
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  • id: 23038741
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  • id: 23038742
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  • id: 23038743
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  • id: 23038744
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  • id: 23038745
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  • id: 23038746
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  • id: 23038747
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  • id: 23038748
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  • id: 23038749
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  • id: 23038750
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  • id: 23038751
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  • id: 23038752
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  • id: 23038753
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  • id: 23038754
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  • id: 23038756
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  • id: 23038757
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  • id: 23038758
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  • id: 23038759
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  • id: 23038760
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  • id: 23038761
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  • id: 23038762
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  • id: 23038763
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  • id: 23038764
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  • id: 23038765
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  • id: 23038766
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  • id: 23038767
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  • id: 23038769
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  • id: 23038770
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  • id: 23038771
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  • id: 23038772
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  • id: 23038773
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  • id: 23038774
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  • id: 23038775
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  • id: 23038776
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  • id: 23038777
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  • id: 23038778
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  • id: 23038779
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  • id: 23038780
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  • id: 23038781
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  • id: 23038782
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  • id: 23038783
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  • id: 23038784
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  • id: 23038785
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  • id: 23038786
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  • id: 23038787
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  • id: 23038788
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  • id: 23038789
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  • id: 23038790
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  • id: 23038791
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  • id: 23038792
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  • id: 23038793
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  • id: 23038794
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  • id: 23038795
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  • id: 23038797
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  • id: 23038798
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  • id: 23038799
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  • id: 23038800
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  • id: 23038801
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  • id: 23038803
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  • id: 23038804
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  • id: 23038805
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  • id: 23038807
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  • id: 23038812
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  • id: 23038813
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  • id: 23038815
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  • id: 23038816
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  • id: 23038817
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  • id: 23038820
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  • id: 23038821
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  • id: 23038822
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  • id: 23038823
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  • id: 23038826
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  • id: 23038827
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  • id: 23038828
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  • id: 23038829
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  • id: 23038831
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  • id: 23038832
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  • id: 23038833
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  • id: 23038834
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  • id: 23038835
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  • id: 23038836
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  • id: 23038837
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  • id: 23038838
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  • id: 23038839
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  • id: 23038840
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    {'hecke_orbit_code': 4504080697262760, 'n': 881, 'trace_an': 0}
  • id: 23038844
    {'hecke_orbit_code': 4504080697262760, 'n': 883, 'trace_an': 0}
  • id: 23038845
    {'hecke_orbit_code': 4504080697262760, 'n': 887, 'trace_an': 0}
  • id: 23038846
    {'hecke_orbit_code': 4504080697262760, 'n': 907, 'trace_an': 0}
  • id: 23038847
    {'hecke_orbit_code': 4504080697262760, 'n': 911, 'trace_an': 0}
  • id: 23038848
    {'hecke_orbit_code': 4504080697262760, 'n': 919, 'trace_an': 16}
  • id: 23038849
    {'hecke_orbit_code': 4504080697262760, 'n': 929, 'trace_an': 0}
  • id: 23038850
    {'hecke_orbit_code': 4504080697262760, 'n': 937, 'trace_an': 0}
  • id: 23038851
    {'hecke_orbit_code': 4504080697262760, 'n': 941, 'trace_an': 0}
  • id: 23038852
    {'hecke_orbit_code': 4504080697262760, 'n': 947, 'trace_an': 0}
  • id: 23038853
    {'hecke_orbit_code': 4504080697262760, 'n': 953, 'trace_an': 0}
  • id: 23038854
    {'hecke_orbit_code': 4504080697262760, 'n': 961, 'trace_an': -392}
  • id: 23038855
    {'hecke_orbit_code': 4504080697262760, 'n': 967, 'trace_an': 0}
  • id: 23038856
    {'hecke_orbit_code': 4504080697262760, 'n': 971, 'trace_an': 0}
  • id: 23038857
    {'hecke_orbit_code': 4504080697262760, 'n': 977, 'trace_an': 0}
  • id: 23038858
    {'hecke_orbit_code': 4504080697262760, 'n': 983, 'trace_an': 0}
  • id: 23038859
    {'hecke_orbit_code': 4504080697262760, 'n': 991, 'trace_an': 0}
  • id: 23038860
    {'hecke_orbit_code': 4504080697262760, 'n': 997, 'trace_an': 0}