Embedded newform data - 465.2.k.b.32.22

Formats: - HTML - YAML - JSON - 2025-11-09T22:12:39.994951

• 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': 1860, 'analytic_conductor': 3.7130436939895377, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 15, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 4, 'char_parity': 1, 'char_values': [465, 4, [311, 187, 406], [2, 1, 4]], 'cm_discs': [], 'conrey_index': 32, 'dim': 60, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [10000, 0, 0, 0, 7092624, 0, 0, 0, 1165657064, 0, 0, 0, 44074885724, 0, 0, 0, 378883592517, 0, 0, 0, 1079111218125, 0, 0, 0, 995273949758, 0, 0, 0, 405395246468, 0, 0, 0, 86530512031, 0, 0, 0, 10670286281, 0, 0, 0, 806935409, 0, 0, 0, 38564715, 0, 0, 0, 1167228, 0, 0, 0, 21670, 0, 0, 0, 225, 0, 0, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504286855692753, 'inner_twist_count': 4, '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, 15, 5, 1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '465.2.k.b', 'level': 465, '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, 31], 'level_radical': 465, 'minimal_twist': '465.2.k.b', 'prim_orbit_index': 5, 'related_objects': [], 'relative_dim': 30, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '465.2.k', 'trace_display': [0, 0, 0, 0], 'traces': [60, 0, 0, 0, 0, -4, 0, 0, 0, 16, 0, 0, -12, 0, -8, -60, 0, 34, 0, 0, -4, 8, 0, 0, 8, 0, -6, -80, 0, -54, -60, 0, 10, 0, 0, 28, -12, 0, 0, 60, 0, -12, -24, 0, -58, 8, 0, 80, 0, 0, 32, 52, 0, 0, 64, 0, -14, -48, 0, -108, -56, 0, 62, 0, 0, 40, 104, 0, 0, 108, 0, -76, -108, 0, -38, -120, 0, 112, 0, 0, 60, 20, 0, 0, 48, 0, -110, -28, 0, -82, -32, 0, 0, 0, 0, 120, 56, 0, 0, 232, 0, -74, 0, 0, -42, -56, 0, 140, 0, 0, 116, 116, 0, 0, 12, 0, -98, -224, 0, -98, -100, 0, 36, 0, 0, -12, 88, 0, 0, 80, 0, -52, 0, 0, -36, -56, 0, 192, 0, 0, 72, 72, 0, 0, 52, 0, -152, -128, 0, -126, -48, 0, 20, 0, 0, 196, 108, 0, 0, -28, 0, -58, -84, 0, 62, -120, 0, 120, 0, 0, 128, 168, 0, 0, -8, 0, -84, -188, 0, -148, -56, 0, -12, 0, 0, 4, 168, 0, 0, 328, 0, -60, 60, 0, -16, -68, 0, 132, 0, 0, -4, 112, 0, 0, -132, 0, -222, -148, 0, -202, -328, 0, -90, 0, 0, 292, 0, 0, 0, -20, 0, -194, 128, 0, -48, -64, 0, 172, 0, 0, 316, 4, 0, 0, 52, 0, -58, -212, 0, -194, -120, 0, -70, 0, 0, 84, 376, 0, 0, -68, 0, -204, 20, 0, 46, -356, 0, 14, 0, 0, 104, 144, 0, 0, -20, 0, -18, 136, 0, -50, -144, 0, -60, 0, 0, 76, 4, 0, 0, 292, 0, -144, -8, 0, 174, 88, 0, 92, 0, 0, 116, 396, 0, 0, -112, 0, -132, -280, 0, -72, -216, 0, 78, 0, 0, 248, 76, 0, 0, -16, 0, -148, 204, 0, 2, 136, 0, 230, 0, 0, 40, -80, 0, 0, 52, 0, -282, 16, 0, -104, -256, 0, -20, 0, 0, 28, 40, 0, 0, -8, 0, -142, -72, 0, 32, -336, 0, 12, 0, 0, 176, 64, 0, 0, 140, 0, -186, 108, 0, -112, -44, 0, -64, 0, 0, 196, 108, 0, 0, 468, 0, 0, 116, 0, 98, -256, 0, 140, 0, 0, 204, 312, 0, 0, -240, 0, -80, -232, 0, -4, -48, 0, 34, 0, 0, 172, 276, 0, 0, -20, 0, -324, 12, 0, 218, -336, 0, -60, 0, 0, 96, 80, 0, 0, 8, 0, -130, -8, 0, -76, -40, 0, -76, 0, 0, 88, 412, 0, 0, -24, 0, -224, -108, 0, -90, 152, 0, 174, 0, 0, 92, 8, 0, 0, 8, 0, -264, -168, 0, 18, -104, 0, -166, 0, 0, 408, 76, 0, 0, 272, 0, 16, -136, 0, 8, -56, 0, -24, 0, 0, 60, 36, 0, 0, -256, 0, 38, -472, 0, -100, -512, 0, -56, 0, 0, -84, 184, 0, 0, 136, 0, 48, 424, 0, 12, 60, 0, 138, 0, 0, 144, -152, 0, 0, 40, 0, -108, -140, 0, -510, 136, 0, -62, 0, 0, -76, 220, 0, 0, -112, 0, 200, 76, 0, 70, -120, 0, 272, 0, 0, 372, 96, 0, 0, 136, 0, 42, -44, 0, -260, -8, 0, -132, 0, 0, -380, 44, 0, 0, 680, 0, -380, 196, 0, 178, -336, 0, -34, 0, 0, -12, -28, 0, 0, -336, 0, -118, -272, 0, -350, -304, 0, -172, 0, 0, 12, -348, 0, 0, -16, 0, 80, 176, 0, 254, 80, 0, 256, 0, 0, -12, 164, 0, 0, -28, 0, 62, -172, 0, -138, 160, 0, 198, 0, 0, 368, 196, 0, 0, 72, 0, 172, -192, 0, 124, -24, 0, 200, 0, 0, 120, -424, 0, 0, -260, 0, -110, 168, 0, -40, -136, 0, 52, 0, 0, -304, 176, 0, 0, 312, 0, 0, -96, 0, 130, 512, 0, -144, 0, 0, 4, 92, 0, 0, -276, 0, 170, -356, 0, 80, 248, 0, -86, 0, 0, -388, -40, 0, 0, 4, 0, -40, 300, 0, -164, -100, 0, 88, 0, 0, 328, -8, 0, 0, -284, 0, -202, 108, 0, -196, -48, 0, -56, 0, 0, -88, 80, 0, 0, -340, 0, 440, 4, 0, -28, -24, 0, 168, 0, 0, -8, 300, 0, 0, -12, 0, -56, 228, 0, 84, 408, 0, -194, 0, 0, 104, 8, 0, 0, 432, 0, 396, 300, 0, 178, 288, 0, 426, 0, 0, -64, -272, 0, 0, -28, 0, -228, -628, 0, -232, -352, 0, -188, 0, 0, -328, -172, 0, 0, -56, 0, 232, 144, 0, 266, 72, 0, 144, 0, 0, -172, -356, 0, 0, -8, 0, 226, -60, 0, 136, -24, 0, 76, 0, 0, -420, 116, 0, 0, -116, 0, -244, 4, 0, 218, 136, 0, 616, 0, 0, -368, -160, 0, 0, -52, 0, -286, 180, 0, -330, 40, 0, -346, 0, 0, -80, -112, 0, 0, 916, 0, 102, -28, 0, 38, 264, 0, -200, 0, 0, 836, -224, 0, 0, -176, 0, 6, -724, 0, -70, -156, 0, -66, 0, 0, -456, -192, 0, 0, 596, 0, 452, 652, 0, 30, 456, 0, 336, 0, 0, -100, 112, 0, 0, 88, 0, -286, 80, 0, -24, -120, 0, -248, 0, 0, -360, -264, 0, 0, -372, 0, 98, -248, 0, 132, 464, 0, -280, 0, 0, 128, -412, 0, 0, -208, 0, 160, -80, 0, -240, 456, 0, -82, 0, 0, -44, 60, 0, 0, 844, 0, -44, -264, 0, 204, -256, 0, 400, 0, 0, -128, -132, 0, 0, -664, 0, 64, -476, 0, 54, -848, 0, -476, 0, 0, -632, -200, 0, 0, -260, 0, 676, 208, 0, 114, 720, 0, -136, 0, 0, 140, 88, 0, 0, 200, 0, 84, 144, 0, -330, 60, 0, -244, 0, 0, -164, 76, 0, 0, -120, 0, 304, 68, 0, -232, 208, 0, 24, 0, 0, -96, -500, 0, 0, 104, 0, 84, 692, 0, -344, -392, 0, -88, 0, 0, -452, 8, 0, 0, 500], '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], [0.7073253272610192, -0.7073253272610192], [0.40886126233935216, 0.9125965527867567], [0.0, -0.0006182371698156396], [0.8856376078789931, 0.46437703163525945], [0.9347005815457062, 0.35630472916863487], [-0.6308857240656838, -0.6308857240656838], [0.7068880324525544, 0.7068880324525544], [-0.6656649363165429, 0.746250757157869], [0.9548995467015855, -0.29796827495376443], [0.0, -0.14732686589314878], [0.0005642011099783934, -0.00025277322967593086], [0.16807436909610302, -0.16807436909610302], [-0.8924829024781296, 0.0], [-0.0616859679310751, 0.9980956073244719], [1.0006178549526175, 0.0], [0.13588186268257063, -0.13588186268257063], [0.05700039209918888, 0.9986837299517572], [0.0, 0.3352049248915217], [0.0002870951417655706, -0.0005475340881774019], [0.3177994034513483, -0.8336888705180916], [-0.10420802363221175, -0.10420802363221175], [-0.7148098850326736, -0.7148098850326736], [-0.3560844483412817, 0.9341227149035464], [0.5687079449792505, 0.8225395269027974], [0.0, -0.23776651625018078], [-0.9531904746542046, -0.30237049960022927], [-0.0003900370045234589, 0.0003900370045234589], [0.04025265774195827, 0.0], [0.6623462546343073, 0.7496103495428281], [-0.1796053020267749, 0.0], [0.0008743192650247869, -0.0008743192650247869], [0.1344499899469644, -0.060236248365573265], [0.0, -0.19222536598157225], [-0.2657672836638551, -0.8517049633492223], [0.00046135995607805917, 0.00041153880627384747], [0.8602959104654945, 0.8602959104654945], [0.23709893319840092, 0.23709893319840092], [0.22210318856443548, 0.08466499113338971], [0.2977840598907622, 0.9543091923083745], [0.0, -1.1113799634649892], [-0.364901686123497, -0.8144768202226601], [0.6320844948996615, -0.6320844948996615], [-9.10829446075886e-05, 0.0], [-0.9360796133128415, 0.35178822825683237], [-1.0112062717202948, 0.0], [0.9304176203387003, -0.9304176203387003], [0.40911387929522197, 0.9131604050866375], [0.0, -0.20396640634023586], [0.984064573350035, 0.17954150675325506], [0.1795621493757757, 0.06844848956493904], [-0.00010390982226852394, -0.00010390982226852394], [-0.9517337577858651, -0.9517337577858651], [-0.8880900770106814, 0.4603414518430614], [0.06841521266358638, -0.13047821308591753], [0.0, -0.8919311363743927], [-0.30590685893314634, 0.1370523087335153], [0.028471724310456428, -0.028471724310456428], [-1.2386462059584538, 0.0], [0.0006170598034777035, 3.8136558231046175e-05], [0.46742539232478264, 0.0], [-0.12703937903390275, 0.12703937903390275], [0.8907574545973064, -0.05084044393090753], [0.0, 0.999380998632089], [0.22690285880686095, -0.07080310557722634], [0.05249325905132217, -0.13770650722763245], [-0.5783424713678615, -0.5783424713678615], [-8.400721821414984e-05, -8.400721821414984e-05], [0.36007496505160963, -0.944591108905822], [-0.7904164228236314, -0.4144485610380146], [0.0, 0.010274830461846155], [-0.998066306549011, 0.0569651523380991], [0.22809035092481889, -0.22809035092481889], [1.2170181728226446, 0.0], [-0.5181240884957075, 0.8553054594239957], [0.00020723614407319843, 0.0], [-0.09294641646332706, 0.09294641646332706], [0.2169849030980313, -0.097213517976079], [0.0, -1.0081381530726266], [0.8861848034612455, 0.4646639492841371], [-0.11378038511738575, -0.9935059254793297], [-0.7861071963692129, -0.7861071963692129], [0.03797272649195932, 0.03797272649195932], [-0.0005154174478159022, -0.00019647540375886019], [0.18344250386593575, -0.05724167177473159], [0.0, -0.894178744423038], [0.016457752456890955, 0.03673443669581627], [0.10414359835860929, -0.10414359835860929], [-1.2950493597075654, 0.0], [-0.41328409515053577, 0.9109415425072119], [-0.21207144008815587, 0.0], [-0.0004419220402788429, 0.0004419220402788429], [-0.07343365050950779, -0.16390717949185904], [0.0, -1.3162158955909797], [-0.15566146801064495, 0.29687008783018487], [0.00115537602568232, 0.0004404254689110222], [-0.13548368623128465, -0.13548368623128465], [-0.14427060511486134, -0.14427060511486134], [0.10994278522245812, 0.09807032880247875], [0.0005085245091738807, -0.0003515963903556403], [0.0, 1.3483034085876218], [0.17542420635295553, -0.07859350578886959], [-0.3191590869438749, 0.3191590869438749], [0.23761952015209734, 0.0], [0.6686010664565667, -0.5907674733707889], [-1.3463707833824932, 0.0], [-0.5481016984233084, 0.5481016984233084], [-0.00018693668190858674, 0.0005892977813454416], [0.0, 1.4342954765279214], [-0.04389873208452614, -0.14068235745833307], [-0.4333614103290501, 1.1368447542056588], [-0.6312755199348334, -0.6312755199348334], [0.05708804546497999, 0.05708804546497999], [-0.11943509997946623, 0.3133162382330901], [-0.3011212240735811, -0.9650038092636093], [0.0, -2.4885689199945876e-05], [0.013544410995997484, 0.23730683939759856], [-0.876125832990183, 0.876125832990183], [-0.17145185465177476, 0.0], [-0.7491469125618623, 0.6619367675604042], [0.9782947945861021, 0.0], [0.3306218185962371, -0.3306218185962371], [1.0142415234944206, -0.45440021480095855], [0.0, 0.00011103867360891648], [0.1217006800674097, 0.9925668463489651], [0.5940945744417075, -0.6660160417247568], [0.6294657876687765, 0.6294657876687765], [0.7077618111809112, 0.7077618111809112], [0.8352729956051966, 0.3184032666255819], [0.11041330903851562, -0.21057496868553185], [0.0, 1.1788056160776597], [-3.724028770984396e-05, -8.312198126655246e-05], [0.2114760017505708, -0.2114760017505708], [-0.8181525556584385, 0.0], [-0.7037674167673669, -0.7104304491620466], [0.19210652511534104, 0.0], [1.0471667767191148, -1.0471667767191148], [-0.41344307274102965, -0.9228233577282893], [0.0, -0.1290310524329735], [-0.0005265556660589563, 0.00016430721328193206], [1.2295076357276122, 0.46868419021869806], [0.007267647818976821, 0.007267647818976821], [-0.024761870035897162, -0.024761870035897162], [-0.6660762206942299, 0.7467118318840736], [0.035649267513359756, 0.018692409717640628], [0.0, -0.32266816422595646], [0.1861390393104021, -0.08339396237109006], [0.0005318669088901563, 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[-1.2686565817675184, -1.2686565817675184], [0.5161607674727636, 0.5161607674727636], [1.1593852870682382, 0.4419537859148626], [-0.00024231698476401446, -0.0007765537419886624], [0.0, 1.3431486775615598], [0.7414534773100645, 1.6549571939718397], [-0.794425383912026, 0.794425383912026], [-1.239411509651346, 0.0], [-0.004203612016790618, 0.8921972446190228], [-0.13173655196411707, 0.0], [0.5513323107662204, -0.5513323107662204], [-0.00025483033691169575, -0.0005687926649751433], [0.0, -0.07667228365719535], [-0.0601831972861355, 0.32986329139820586], [-1.0188907510077607, -0.38839773961614354], [-0.1211972641951344, -0.1211972641951344], [0.6447989332971207, 0.6447989332971207], [0.8962318217787613, -1.0047302165144187], [0.8191164405757876, -1.562179598873198], [0.0, -0.00034652161086794143], [0.005411969428744887, -0.0024246690891190138], [1.175826066081088, -1.175826066081088], [-1.321285140295934, 0.0], [-0.997477784778232, -0.06164778423254485], [0.03225806451612903, 0.0], 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0.0008176486254487284, -0.34921820666446746, -0.41591784702849405, -0.12072605318106044, -0.3620978674530853, -0.14027069154220842, 0.117745304917916, -0.4112301156341478, -0.4383421109217109, 0.1272763659428522, -0.11857359151530228, -0.051584148198087494, 0.10031844748136834, -0.2423041474974109, -0.48972489874372205, -0.3961340509271442, -0.3854268760549985, 0.055609040917433905, -0.3424030626684645, -0.2322209364016364, -0.09369613320202283, -0.39241994816897324, -0.37663827121531807, -0.32811464518447087, -0.4239701832697979, -0.2290832937518879, 0.023191317059414025, -0.25517840040933437, -0.3499631572251141, -0.3410449494768789, 0.13756218973365897, -0.443487171070859, -0.20479135981087734, -0.35792050264255265, 0.03373653018561703, -0.40417489318378186, -0.11007535700806553, -0.16796419712007749, -0.09121879260655044, -0.00576316485607857, 0.14974042377920666, -0.42862019585634964, -0.05145916140616744, -0.038586140445615924, 0.10526808958222127, -0.2684887048447532, 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-0.20933768102779307, -0.4478436093585368, 0.11719080447185568, -0.3112632860159486, -0.04965127462976301, -0.08774939111580331, -0.3419130449707429, -0.31515973725453195, -0.13868311965868124, -0.1810930052328814, -0.13179852090247915], 'char_orbit_index': 11, 'conrey_index': 32, 'dual_conrey_index': 218, 'dual_embedding_index': 22, 'dual_embedding_m': 52, 'embedding_index': 22, 'embedding_m': 22, 'hecke_orbit': 2, 'hecke_orbit_code': 4504286855692753, 'label': '465.2.k.b.32.22', 'level': 465, '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': 1860, 'analytic_conductor': 3.7130436939895377, 'char_conductor': 15, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 4, 'char_parity': 1, 'char_values': [465, 4, [311, 187, 406], [2, 1, 4]], 'conrey_index': 32, 'cusp_dim': 120, 'dim': 120, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 687228322257, 'hecke_orbit_dims': [60, 60], 'label': '465.2.k', 'level': 465, '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, 31], 'level_radical': 465, 'mf_dim': 136, 'mf_new_dim': 120, 'num_forms': 2, 'prim_orbit_index': 5, 'relative_dim': 60, 'sturm_bound': 128, 'trace_bound': 10, 'trace_display': [0, 0, 0, 0], 'traces': [120, 0, 0, 0, 0, -8, 0, 0, 0, -16, 0, 0, -8, 0, 12, -120, 0, -12, 0, 0, -8, 16, 0, 0, 0, 0, -12, 32, 0, 0, 0, 0, -20, 0, 0, 24, -48, 0, 0, 24, 0, 32, -8, 0, -44, 48, 0, -24, 0, 0, -16, 40, 0, 0, 16, 0, 28, 32, 0, -48, -64, 0, 52, 0, 0, 16, 16, 0, 0, 24, 0, 8, -48, 0, -24, -48, 0, -40, 0, 0, -72, -40, 0, 0, 32, 0, -76, 96, 0, 108, 32, 0, 0, 0, 0, 32, 48, 0, 0, -16, 0, -20, 48, 0, 16, -16, 0, -28, 0, 0, 56, -152, 0, 0, -56, 0, -60, -112, 0, 128, -72, 0, -28, 0, 0, -152, 8, 0, 0, 40, 0, 56, 0, 0, -60, 48, 0, 192, 0, 0, 64, 64, 0, 0, 8, 0, -24, -72, 0, 56, 48, 0, 56, 0, 0, 40, -72, 0, 0, -120, 0, 44, -136, 0, 68, -16, 0, 52, 0, 0, 64, 176, 0, 0, -32, 0, -56, -216, 0, -96, 128, 0, -88, 0, 0, 0, 96, 0, 0, 96, 0, 248, 120, 0, -64, -8, 0, 44, 0, 0, -120, -32, 0, 0, 40, 0, -52, 192, 0, -80, -176, 0, -144, 0, 0, 376, 0, 0, 0, -176, 0, -180, 0, 0, -112, -32, 0, 164, 0, 0, 56, -248, 0, 0, -56, 0, 108, -152, 0, -304, -144, 0, -120, 0, 0, -24, 248, 0, 0, -72, 0, -120, 104, 0, 124, 248, 0, -180, 0, 0, 64, 192, 0, 0, -8, 0, 204, 128, 0, 144, -64, 0, -24, 0, 0, -136, -104, 0, 0, 200, 0, -104, -48, 0, 96, 272, 0, -24, 0, 0, -184, 120, 0, 0, -112, 0, -8, 32, 0, -152, -96, 0, 184, 0, 0, -64, -8, 0, 0, -48, 0, 232, 56, 0, 28, 400, 0, 84, 0, 0, -64, -352, 0, 0, 80, 0, -108, 112, 0, 216, -224, 0, 196, 0, 0, -424, -176, 0, 0, 288, 0, -92, 144, 0, -48, -288, 0, -56, 0, 0, -16, -176, 0, 0, 280, 0, -100, 224, 0, 56, 104, 0, -52, 0, 0, 264, -136, 0, 0, -56, 0, 0, -40, 0, 204, -192, 0, -44, 0, 0, -64, 112, 0, 0, 72, 0, 244, 64, 0, 248, 240, 0, 76, 0, 0, 96, 360, 0, 0, -376, 0, -452, 16, 0, 20, -400, 0, -328, 0, 0, -104, 64, 0, 0, 48, 0, -76, 120, 0, 56, 16, 0, -152, 0, 0, 88, -72, 0, 0, -280, 0, 0, -72, 0, -172, 400, 0, 68, 0, 0, 0, 64, 0, 0, 224, 0, -188, -656, 0, 124, 80, 0, 12, 0, 0, 192, 72, 0, 0, 0, 0, 160, -256, 0, 28, -16, 0, -272, 0, 0, -32, -120, 0, 0, -80, 0, 216, -112, 0, -180, -16, 0, 48, 0, 0, 104, 112, 0, 0, -16, 0, 172, 32, 0, -92, 0, 0, -244, 0, 0, 64, -328, 0, 0, -160, 0, 140, -256, 0, -556, 416, 0, 68, 0, 0, -136, 64, 0, 0, 392, 0, 356, 248, 0, -192, -656, 0, 216, 0, 0, 32, 256, 0, 0, 256, 0, 108, -264, 0, -180, -144, 0, -192, 0, 0, -536, -120, 0, 0, 576, 0, -768, 216, 0, 164, -240, 0, -80, 0, 0, 256, 152, 0, 0, -144, 0, 116, 560, 0, -220, -224, 0, 96, 0, 0, 184, -424, 0, 0, -80, 0, -100, -64, 0, 336, -192, 0, 368, 0, 0, -240, 288, 0, 0, -368, 0, 124, 104, 0, -284, 272, 0, 492, 0, 0, 576, -56, 0, 0, 216, 0, 84, -360, 0, 120, 496, 0, 156, 0, 0, 272, -544, 0, 0, -232, 0, 148, -48, 0, 416, 144, 0, 136, 0, 0, -32, 336, 0, 0, -576, 0, -84, -240, 0, 28, 672, 0, -296, 0, 0, 0, 600, 0, 0, -200, 0, 224, -72, 0, 208, 96, 0, -8, 0, 0, -584, -16, 0, 0, -184, 0, -144, 112, 0, -376, -776, 0, -184, 0, 0, 416, 0, 0, 0, -376, 0, -204, 200, 0, -160, 64, 0, 308, 0, 0, 176, -216, 0, 0, -440, 0, 344, 232, 0, -188, 16, 0, -180, 0, 0, 80, 648, 0, 0, -72, 0, -192, 376, 0, 232, 16, 0, -324, 0, 0, 344, -32, 0, 0, 104, 0, 608, 248, 0, 192, -192, 0, 196, 0, 0, -24, 32, 0, 0, 216, 0, -376, -184, 0, 188, 32, 0, -168, 0, 0, -992, 184, 0, 0, -336, 0, -96, -256, 0, 44, -176, 0, 524, 0, 0, -64, -312, 0, 0, -16, 0, 260, 184, 0, 584, 208, 0, 184, 0, 0, 192, -536, 0, 0, 296, 0, -864, -56, 0, 292, 128, 0, 800, 0, 0, -440, 152, 0, 0, 312, 0, -388, 232, 0, -300, -176, 0, -252, 0, 0, 80, -128, 0, 0, 1160, 0, -44, -104, 0, -180, 336, 0, -192, 0, 0, 608, -496, 0, 0, 120, 0, 0, -264, 0, 408, -376, 0, -196, 0, 0, -160, -256, 0, 0, 784, 0, 740, 200, 0, 124, 848, 0, 288, 0, 0, 72, 720, 0, 0, 96, 0, -392, 192, 0, 208, -416, 0, -336, 0, 0, -272, -288, 0, 0, -32, 0, -332, -152, 0, -172, -352, 0, -736, 0, 0, 96, 256, 0, 0, -352, 0, -164, -584, 0, -336, 432, 0, -164, 0, 0, -216, -8, 0, 0, 144, 0, -516, -576, 0, 248, -928, 0, 208, 0, 0, 344, -200, 0, 0, -248, 0, 240, -408, 0, 108, -464, 0, -236, 0, 0, -616, 192, 0, 0, -520, 0, 840, 48, 0, -168, 0, 0, -400, 0, 0, 144, 128, 0, 0, 176, 0, -44, 544, 0, -504, 120, 0, -280, 0, 0, 152, -160, 0, 0, -352, 0, 216, 48, 0, -688, 624, 0, -260, 0, 0, -96, -64, 0, 0, 496, 0, 360, 808, 0, -332, -672, 0, 168, 0, 0, 184, 208, 0, 0, 280], '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: 36061508
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 32, 'source_dim': 60, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4504286855692753, 'source_is_minimal': True, 'source_label': '465.2.k.b.32.22', 'source_level': 465, 'target_conrey_index': 32, 'target_dim': 60, 'target_embedding_index': 22, 'target_hecke_orbit_code': 4504286855692753, 'target_is_minimal': True, 'target_label': '465.2.k.b.32.22', 'target_level': 465, 'twist_class_label': '465.2.k.b.32.9', 'twist_class_level': 465, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 36061509
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 32, 'source_dim': 60, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4504286855692753, 'source_is_minimal': True, 'source_label': '465.2.k.b.32.22', 'source_level': 465, 'target_conrey_index': 32, 'target_dim': 60, 'target_embedding_index': 9, 'target_hecke_orbit_code': 4504286855692753, 'target_is_minimal': True, 'target_label': '465.2.k.b.32.9', 'target_level': 465, 'twist_class_label': '465.2.k.b.32.9', 'twist_class_level': 465, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 36061510
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 32, 'source_dim': 60, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4504286855692753, 'source_is_minimal': True, 'source_label': '465.2.k.b.32.22', 'source_level': 465, 'target_conrey_index': 218, 'target_dim': 60, 'target_embedding_index': 9, 'target_hecke_orbit_code': 4504286855692753, 'target_is_minimal': True, 'target_label': '465.2.k.b.218.9', 'target_level': 465, 'twist_class_label': '465.2.k.b.32.9', 'twist_class_level': 465, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 36061511
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 32, 'source_dim': 60, 'source_embedding_index': 22, 'source_hecke_orbit_code': 4504286855692753, 'source_is_minimal': True, 'source_label': '465.2.k.b.32.22', 'source_level': 465, 'target_conrey_index': 218, 'target_dim': 60, 'target_embedding_index': 22, 'target_hecke_orbit_code': 4504286855692753, 'target_is_minimal': True, 'target_label': '465.2.k.b.218.22', 'target_level': 465, 'twist_class_label': '465.2.k.b.32.9', 'twist_class_level': 465, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
• hecke_orbit_code 4504286855692753 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': 11, 'hecke_orbit': 2, 'label': '465.2.k.b', 'level': 465, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 23649031
    {'hecke_orbit_code': 4504286855692753, 'n': 1, 'trace_an': 60}
  • id: 23649032
    {'hecke_orbit_code': 4504286855692753, 'n': 2, 'trace_an': 0}
  • id: 23649033
    {'hecke_orbit_code': 4504286855692753, 'n': 3, 'trace_an': 0}
  • id: 23649034
    {'hecke_orbit_code': 4504286855692753, 'n': 4, 'trace_an': 0}
  • id: 23649035
    {'hecke_orbit_code': 4504286855692753, 'n': 5, 'trace_an': 0}
  • id: 23649036
    {'hecke_orbit_code': 4504286855692753, 'n': 6, 'trace_an': -4}
  • id: 23649037
    {'hecke_orbit_code': 4504286855692753, 'n': 7, 'trace_an': 0}
  • id: 23649038
    {'hecke_orbit_code': 4504286855692753, 'n': 8, 'trace_an': 0}
  • id: 23649039
    {'hecke_orbit_code': 4504286855692753, 'n': 9, 'trace_an': 0}
  • id: 23649040
    {'hecke_orbit_code': 4504286855692753, 'n': 10, 'trace_an': 16}
  • id: 23649041
    {'hecke_orbit_code': 4504286855692753, 'n': 11, 'trace_an': 0}
  • id: 23649042
    {'hecke_orbit_code': 4504286855692753, 'n': 12, 'trace_an': 0}
  • id: 23649043
    {'hecke_orbit_code': 4504286855692753, 'n': 13, 'trace_an': -12}
  • id: 23649044
    {'hecke_orbit_code': 4504286855692753, 'n': 14, 'trace_an': 0}
  • id: 23649045
    {'hecke_orbit_code': 4504286855692753, 'n': 15, 'trace_an': -8}
  • id: 23649046
    {'hecke_orbit_code': 4504286855692753, 'n': 16, 'trace_an': -60}
  • id: 23649047
    {'hecke_orbit_code': 4504286855692753, 'n': 17, 'trace_an': 0}
  • id: 23649048
    {'hecke_orbit_code': 4504286855692753, 'n': 18, 'trace_an': 34}
  • id: 23649049
    {'hecke_orbit_code': 4504286855692753, 'n': 19, 'trace_an': 0}
  • id: 23649050
    {'hecke_orbit_code': 4504286855692753, 'n': 20, 'trace_an': 0}
  • id: 23649051
    {'hecke_orbit_code': 4504286855692753, 'n': 21, 'trace_an': -4}
  • id: 23649052
    {'hecke_orbit_code': 4504286855692753, 'n': 22, 'trace_an': 8}
  • id: 23649053
    {'hecke_orbit_code': 4504286855692753, 'n': 23, 'trace_an': 0}
  • id: 23649054
    {'hecke_orbit_code': 4504286855692753, 'n': 24, 'trace_an': 0}
  • id: 23649055
    {'hecke_orbit_code': 4504286855692753, 'n': 25, 'trace_an': 8}
  • id: 23649056
    {'hecke_orbit_code': 4504286855692753, 'n': 26, 'trace_an': 0}
  • id: 23649057
    {'hecke_orbit_code': 4504286855692753, 'n': 27, 'trace_an': -6}
  • id: 23649058
    {'hecke_orbit_code': 4504286855692753, 'n': 28, 'trace_an': -80}
  • id: 23649059
    {'hecke_orbit_code': 4504286855692753, 'n': 29, 'trace_an': 0}
  • id: 23649060
    {'hecke_orbit_code': 4504286855692753, 'n': 30, 'trace_an': -54}
  • id: 23649061
    {'hecke_orbit_code': 4504286855692753, 'n': 31, 'trace_an': -60}
  • id: 23649062
    {'hecke_orbit_code': 4504286855692753, 'n': 32, 'trace_an': 0}
  • id: 23649063
    {'hecke_orbit_code': 4504286855692753, 'n': 33, 'trace_an': 10}
  • id: 23649064
    {'hecke_orbit_code': 4504286855692753, 'n': 34, 'trace_an': 0}
  • id: 23649065
    {'hecke_orbit_code': 4504286855692753, 'n': 35, 'trace_an': 0}
  • id: 23649066
    {'hecke_orbit_code': 4504286855692753, 'n': 36, 'trace_an': 28}
  • id: 23649067
    {'hecke_orbit_code': 4504286855692753, 'n': 37, 'trace_an': -12}
  • id: 23649068
    {'hecke_orbit_code': 4504286855692753, 'n': 38, 'trace_an': 0}
  • id: 23649069
    {'hecke_orbit_code': 4504286855692753, 'n': 39, 'trace_an': 0}
  • id: 23649070
    {'hecke_orbit_code': 4504286855692753, 'n': 40, 'trace_an': 60}
  • id: 23649071
    {'hecke_orbit_code': 4504286855692753, 'n': 41, 'trace_an': 0}
  • id: 23649072
    {'hecke_orbit_code': 4504286855692753, 'n': 42, 'trace_an': -12}
  • id: 23649073
    {'hecke_orbit_code': 4504286855692753, 'n': 43, 'trace_an': -24}
  • id: 23649074
    {'hecke_orbit_code': 4504286855692753, 'n': 44, 'trace_an': 0}
  • id: 23649075
    {'hecke_orbit_code': 4504286855692753, 'n': 45, 'trace_an': -58}
  • id: 23649076
    {'hecke_orbit_code': 4504286855692753, 'n': 46, 'trace_an': 8}
  • id: 23649077
    {'hecke_orbit_code': 4504286855692753, 'n': 47, 'trace_an': 0}
  • id: 23649078
    {'hecke_orbit_code': 4504286855692753, 'n': 48, 'trace_an': 80}
  • id: 23649079
    {'hecke_orbit_code': 4504286855692753, 'n': 49, 'trace_an': 0}
  • id: 23649080
    {'hecke_orbit_code': 4504286855692753, 'n': 50, 'trace_an': 0}
  • id: 23649081
    {'hecke_orbit_code': 4504286855692753, 'n': 51, 'trace_an': 32}
  • id: 23649082
    {'hecke_orbit_code': 4504286855692753, 'n': 52, 'trace_an': 52}
  • id: 23649083
    {'hecke_orbit_code': 4504286855692753, 'n': 53, 'trace_an': 0}
  • id: 23649084
    {'hecke_orbit_code': 4504286855692753, 'n': 54, 'trace_an': 0}
  • id: 23649085
    {'hecke_orbit_code': 4504286855692753, 'n': 55, 'trace_an': 64}
  • id: 23649086
    {'hecke_orbit_code': 4504286855692753, 'n': 56, 'trace_an': 0}
  • id: 23649087
    {'hecke_orbit_code': 4504286855692753, 'n': 57, 'trace_an': -14}
  • id: 23649088
    {'hecke_orbit_code': 4504286855692753, 'n': 58, 'trace_an': -48}
  • id: 23649089
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  • id: 23649090
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  • id: 23649091
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  • id: 23649092
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  • id: 23649093
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  • id: 23649094
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  • id: 23649095
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  • id: 23649096
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  • id: 23649097
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  • id: 23649098
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  • id: 23649099
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  • id: 23649100
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  • id: 23649101
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  • id: 23649102
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  • id: 23649103
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  • id: 23649104
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  • id: 23649105
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  • id: 23649106
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  • id: 23649107
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  • id: 23649108
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  • id: 23649109
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  • id: 23649110
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  • id: 23649111
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  • id: 23649112
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  • id: 23649113
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  • id: 23649114
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  • id: 23649115
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  • id: 23649116
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  • id: 23649117
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  • id: 23649118
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  • id: 23649119
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  • id: 23649120
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  • id: 23649121
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  • id: 23649122
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  • id: 23649123
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  • id: 23649124
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  • id: 23649125
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  • id: 23649126
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  • id: 23649127
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  • id: 23649128
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  • id: 23649129
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  • id: 23649130
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  • id: 23649131
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  • id: 23649132
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  • id: 23649133
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  • id: 23649134
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  • id: 23649135
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  • id: 23649136
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  • id: 23649137
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  • id: 23649138
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  • id: 23649139
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  • id: 23649140
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  • id: 23649141
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  • id: 23649142
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  • id: 23649143
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  • id: 23649144
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  • id: 23649145
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  • id: 23649146
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  • id: 23649147
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  • id: 23649148
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  • id: 23649149
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  • id: 23649150
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  • id: 23649151
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  • id: 23649152
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  • id: 23649153
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  • id: 23649154
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  • id: 23649155
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  • id: 23649156
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  • id: 23649157
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  • id: 23649158
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  • id: 23649159
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  • id: 23649160
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  • id: 23649161
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  • id: 23649162
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  • id: 23649163
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  • id: 23649164
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  • id: 23649165
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  • id: 23649166
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  • id: 23649167
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  • id: 23649168
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  • id: 23649169
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  • id: 23649170
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  • id: 23649171
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  • id: 23649172
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  • id: 23649173
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  • id: 23649174
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  • id: 23649175
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  • id: 23649176
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  • id: 23649177
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  • id: 23649178
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  • id: 23649179
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  • id: 23649180
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  • id: 23649181
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  • id: 23649182
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  • id: 23649183
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  • id: 23649184
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  • id: 23649185
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  • id: 23649186
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  • id: 23649187
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  • id: 23649188
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  • id: 23649189
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  • id: 23649190
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  • id: 23649191
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  • id: 23649192
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  • id: 23649193
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  • id: 23649194
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  • id: 23649195
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  • id: 23649196
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  • id: 23649197
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  • id: 23649198
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  • id: 23649199
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  • id: 23649200
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  • id: 23649201
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  • id: 23649202
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  • id: 23649203
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  • id: 23649204
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  • id: 23649205
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  • id: 23649206
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  • id: 23649207
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  • id: 23649208
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  • id: 23649209
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  • id: 23649210
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  • id: 23649211
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  • id: 23649212
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  • id: 23649213
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  • id: 23649214
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  • id: 23649215
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  • id: 23649216
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  • id: 23649217
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  • id: 23649218
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  • id: 23649219
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  • id: 23649220
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  • id: 23649221
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  • id: 23649222
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  • id: 23649223
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  • id: 23649224
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  • id: 23649225
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  • id: 23649226
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  • id: 23649227
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  • id: 23649228
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  • id: 23649229
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  • id: 23649230
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  • id: 23649231
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  • id: 23649232
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  • id: 23649233
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  • id: 23649234
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  • id: 23649235
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  • id: 23649236
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  • id: 23649237
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  • id: 23649238
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  • id: 23649239
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  • id: 23649240
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  • id: 23649241
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  • id: 23649242
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  • id: 23649243
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  • id: 23649244
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  • id: 23649245
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  • id: 23649246
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  • id: 23649247
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  • id: 23649248
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  • id: 23649249
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  • id: 23649250
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  • id: 23649251
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  • id: 23649252
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  • id: 23649253
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  • id: 23649254
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  • id: 23649255
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  • id: 23649256
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  • id: 23649257
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  • id: 23649258
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  • id: 23649259
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  • id: 23649260
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  • id: 23649261
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  • id: 23649262
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  • id: 23649263
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  • id: 23649264
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  • id: 23649265
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  • id: 23649266
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  • id: 23649267
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  • id: 23649268
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  • id: 23649269
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  • id: 23649270
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  • id: 23649271
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  • id: 23649272
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  • id: 23649273
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  • id: 23649274
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  • id: 23649275
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  • id: 23649276
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  • id: 23649277
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  • id: 23649278
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  • id: 23649279
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  • id: 23649280
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  • id: 23649281
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  • id: 23649282
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  • id: 23649283
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  • id: 23649284
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  • id: 23649285
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  • id: 23649286
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  • id: 23649287
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  • id: 23649288
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