Embedded newform data - 384.3.b.c.319.2

Formats: - HTML - YAML - JSON - 2026-07-26T10:10:20.228056

• 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': 3456, 'analytic_conductor': 10.4632421514354, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [384, 2, [127, 133, 257], [1, 1, 2]], 'cm_discs': [], 'conrey_index': 319, 'dim': 8, 'field_disc': 5308416, 'field_disc_factorization': [[2, 16], [3, 4]], 'field_poly': [1, 0, 0, 0, -1, 0, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [64, 0, 80, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007268024549760, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 262144, 'hecke_ring_index_factorization': [[2, 18]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 8, 4, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '384.3.b.c', 'level': 384, '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, 3], 'level_radical': 6, 'minimal_twist': '384.3.b.c', 'nf_label': '8.0.5308416.1', 'prim_orbit_index': 4, 'qexp_display': 'q-\\beta_{2} q^{3}+(\\beta_{5}-\\beta_{3})q^{5}+\\beta_1 q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '384.3.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2054187709990331575, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.072', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.521', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.612', 'prec': 17}, {'__RealLiteral__': 0, 'data': '550.870', 'prec': 24}, {'__RealLiteral__': 0, 'data': '602.415', 'prec': 24}, {'__RealLiteral__': 0, 'data': '53550.041', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [8, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 656, 0, 0, 0, 0, 0, 0, 0, 440, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 400, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 456, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, -1664, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, -672, 0, 0, 0, 0, 0, 0, 0, -1408, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, 1904, 0, 0, 0, 0, 0, 0, 0, 688, 0, 0, 0, 0, 0, 0, 0, 1056, 0, 0, 0, 0, 0, 0, 0, 2320, 0, 0, 0, 0, 0, 0, 0, -2496, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, 792, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -2176, 0, 0, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, -672, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 1920, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, -1480, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, -2560, 0, 0, 0, 0, 0, 0, 0, 1792, 0, 0, 0, 0, 0, 0, 0, -1824, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 2320, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 6384, 0, 0, 0, 0, 0, 0, 0, 496, 0, 0, 0, 0, 0, 0, 0, 984, 0, 0, 0, 0, 0, 0, 0, 2544, 0, 0, 0, 0, 0, 0, 0, -1520, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -5504, 0, 0, 0, 0, 0, 0, 0, -2944, 0, 0, 0, 0, 0, 0, 0, -2976, 0, 0, 0, 0, 0, 0, 0, -2176, 0, 0, 0, 0, 0, 0, 0, 2368, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 2064, 0, 0, 0, 0, 0, 0, 0, -2168, 0, 0, 0, 0, 0, 0, 0, 1248, 0, 0, 0, 0, 0, 0, 0, 2048, 0, 0, 0, 0, 0, 0, 0, 1088, 0, 0, 0, 0, 0, 0, 0, 3264, 0, 0, 0, 0, 0, 0, 0, -5488, 0, 0, 0, 0, 0, 0, 0, -3376, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, 656, 0, 0, 0, 0, 0, 0, 0, 1840, 0, 0, 0, 0, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, 4208, 0, 0, 0, 0, 0, 0, 0, 6088, 0, 0, 0, 0, 0, 0, 0, 2784, 0, 0, 0, 0, 0, 0, 0, 1136, 0, 0, 0, 0, 0, 0, 0, -1920, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -1792, 0, 0, 0, 0, 0, 0, 0, -3088, 0, 0, 0, 0, 0, 0, 0, -3168, 0, 0, 0, 0, 0, 0, 0, -1536, 0, 0, 0, 0, 0, 0, 0, 2784, 0, 0, 0, 0, 0, 0, 0, -4224, 0, 0, 0, 0, 0, 0, 0, 4992, 0, 0, 0, 0, 0, 0, 0, 2112, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, -1408, 0, 0, 0, 0, 0, 0, 0, -7232, 0, 0, 0, 0, 0, 0, 0, 2592, 0, 0, 0, 0, 0, 0, 0, -6896, 0, 0, 0, 0, 0, 0, 0, -976, 0, 0, 0, 0, 0, 0, 0, -1536, 0, 0, 0, 0, 0, 0, 0, -896, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -816, 0, 0, 0, 0, 0, 0, 0, 8336, 0, 0, 0, 0, 0, 0, 0, 5504, 0, 0, 0, 0, 0, 0, 0, 7584, 0, 0, 0, 0, 0, 0, 0, -656, 0, 0, 0, 0, 0, 0, 0, -1272, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -4720, 0, 0, 0, 0, 0, 0, 0, 4672, 0, 0, 0, 0, 0, 0, 0, -1584, 0, 0, 0, 0, 0, 0, 0, -5616, 0, 0, 0, 0, 0, 0, 0, 3520, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, 9216, 0, 0, 0, 0, 0, 0, 0, -1152, 0, 0, 0, 0, 0, 0, 0, 1632, 0, 0, 0, 0, 0, 0, 0, 5360, 0, 0, 0, 0, 0, 0, 0, -4880, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, -10480, 0, 0, 0, 0, 0, 0, 0, -3640, 0, 0, 0, 0, 0, 0, 0, -3264, 0, 0, 0, 0, 0, 0, 0, 2544, 0, 0, 0, 0, 0, 0, 0, -5824, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 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], [0.0, 0.0], [-0.5773502691896257, 0.0], [0.0, 0.0], [0.0, -0.17979589711327124], [0.0, 0.0], [0.0, 0.4040610178208843], [0.0, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [-0.3986822971553865, 0.0], [0.0, 0.0], [0.0, -1.061381459317901], [0.0, 0.0], [0.0, 0.1038052095975374], [0.0, 0.0], [1.0350539966038486, 0.0], [0.0, 0.0], [0.23081606677417113, 0.0], [0.0, 0.0], [0.0, -0.23328473740792172], [0.0, 0.0], [0.0, 0.9589547248525938], [0.0, 0.0], [0.967673435381234, 0.0], [0.0, 0.0], [-0.19245008972987526, 0.0], [0.0, 0.0], [0.0, -1.5343068078562683], [0.0, 0.0], [0.0, -1.7151179691554113], [0.0, 0.0], [0.23017933158380074, 0.0], [0.0, 0.0], [0.07264851318760737, 0.0], [0.0, 0.0], [0.0, -0.9511306995819149], [0.0, 0.0], [0.0, 0.612788871250068], [0.0, 0.0], [0.9169736083479372, 0.0], [0.0, 0.0], [1.1544264945267044, 0.0], [0.0, 0.0], [0.0, -0.059931965704423745], [0.0, 0.0], [0.0, -0.8181928317814241], [0.0, 0.0], [0.8367346938775511, 0.0], [0.0, 0.0], [-0.5975887035650299, 0.0], [0.0, 0.0], [0.0, 0.032210256623311444], [0.0, 0.0], [0.0, 0.0716814412802325], [0.0, 0.0], [-0.13326171828535832, 0.0], [0.0, 0.0], [-0.5871358669725008, 0.0], [0.0, 0.0], [0.0, 0.40006691897925534], [0.0, 0.0], [0.0, 0.13468700594029476], [0.0, 0.0], [-0.190832031657455, 0.0], [0.0, 0.0], [1.3992874120577254, 0.0], [0.0, 0.0], [0.0, -0.5536527685343086], [0.0, 0.0], [0.0, 1.7447793684855282], [0.0, 0.0], [-0.136986301369863, 0.0], [0.0, 0.0], [-0.5586865184050054, 0.0], [0.0, 0.0], [0.0, -0.1610919747757737], [0.0, 0.0], [0.0, -1.6610341757467257], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [-1.327124831686565, 0.0], [0.0, 0.0], [0.0, -0.18609846188006574], [0.0, 0.0], [0.0, 0.885832448535292], [0.0, 0.0], [-0.8223801784778747, 0.0], [0.0, 0.0], [0.42886287274820656, 0.0], [0.0, 0.0], [0.0, 0.9902238211838409], [0.0, 0.0], [0.0, -0.041499781793818816], [0.0, 0.0], [-1.0844519163353696, 0.0], [0.0, 0.0], [-0.1328940990517955, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.4856729550684544, 0.03237700789098637, -0.28194009402151066, -0.4109662874028865, -0.16342635236676306, -0.2315912212740236, 0.07958687026336424, -0.36083624815897897, -0.33598999786893397, -0.4211217603363733, -0.17419581452853253, -0.15207006929736702, -0.4329219841908708, 0.0025633215983978047, -0.2974213451359596, 0.03205254349698046, -0.1266710403583502, 0.1687153749848238, -0.2609095648932434, -0.34402252188394206, -0.3654781448686968, -0.31744337860066696, -0.34120916223690484, 0.13905764831178424, -0.47054102128635433, -0.26443657049174096, 0.10368102035375266, -0.2751578133597566, -0.4160504858103595, -0.19652644050796647, -0.2780137294819163, -0.15479922439699978, 0.1673327999793967, -0.44242647064742624, 0.05978239684534368, -0.11187985461767579, -0.4418348125292337, -0.36051050927071143, -0.358639300730445, -0.4787355709482282, 0.07695429098651092, -0.19499364290481275, 0.061855970852105056, -0.4390310615464982, -0.4300888192482398, 0.10265253353415245, -0.10818996216155077, -0.42319397730116154, -0.11185355521103789, 0.014326303183186973, -0.20818254130319558, -0.36591575506344326, -0.15459189355018024, -0.4213734523066499, -0.4055511390628519, 0.12650774126223702, -0.43694257241930995, -0.2815753580177111, -0.2825580895826977, -0.4703120808173633, -0.3177487000878478, -0.3688471395511603, -0.14887168468598813, 0.013442401128857097, -0.29017064961342165, -0.3006185992183956, -0.1351884770744749, 0.00774162393063621, -0.17847017707267232, 0.03732553205118022, -0.49657404852902065, 0.017534045460776176, -0.371608276188382, -0.387098206658813, 0.04859816903278674, 0.07228836951183043, -0.44767704049289614, -0.23166231231472384, -0.13161745365358943, 0.19169076560432088, 0.07737970162618053, -0.22408569763249783, 0.06349074259962838, -0.2776442816426911, -0.2596335931483308, -0.4120227420726291, 0.12095171194443353, -0.4875592250247956, -0.3776310945123228, -0.3824825538192369, 0.0911288854173511, -0.1817624592365269, -0.19036123490560522, 0.13111126067977075, 0.015073838124904631, -0.21938387184896505, -0.25208006598793803, 0.08357850709515834], 'char_orbit_index': 2, 'conrey_index': 319, 'dual_conrey_index': 319, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': -0.25881904510252074, 'embedding_root_real': -0.9659258262890683, 'hecke_orbit': 3, 'hecke_orbit_code': 9007268024549760, 'label': '384.3.b.c.319.2', 'level': 384, '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': 3456, 'analytic_conductor': 10.4632421514354, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [384, 2, [127, 133, 257], [1, 1, 2]], 'conrey_index': 319, 'cusp_dim': 112, 'dim': 16, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 68769808768, 'hecke_orbit_dims': [4, 4, 8], 'label': '384.3.b', 'level': 384, '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, 3], 'level_radical': 6, 'mf_dim': 144, 'mf_new_dim': 16, 'num_forms': 3, 'prim_orbit_index': 4, 'relative_dim': 16, 'sturm_bound': 192, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [16, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -608, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, -672, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 672, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, -1344, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 1040, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, -1280, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -1024, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, 1888, 0, 0, 0, 0, 0, 0, 0, 2080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 800, 0, 0, 0, 0, 0, 0, 0, -1472, 0, 0, 0, 0, 0, 0, 0, -1536, 0, 0, 0, 0, 0, 0, 0, 1888, 0, 0, 0, 0, 0, 0, 0, 560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, 0, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, -4992, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, -4192, 0, 0, 0, 0, 0, 0, 0, 2160, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, 3328, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, 0, 0, 0, 0, 0, 1696, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 4448, 0, 0, 0, 0, 0, 0, 0, 3936, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 3296, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -1728, 0, 0, 0, 0, 0, 0, 0, -3584, 0, 0, 0, 0, 0, 0, 0, -1408, 0, 0, 0, 0, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, -2176, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, -992, 0, 0, 0, 0, 0, 0, 0, -7152, 0, 0, 0, 0, 0, 0, 0, -1728, 0, 0, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, 3392, 0, 0, 0, 0, 0, 0, 0, 3072, 0, 0, 0, 0, 0, 0, 0, -1632, 0, 0, 0, 0, 0, 0, 0, -2592, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 6816, 0, 0, 0, 0, 0, 0, 0, -2016, 0, 0, 0, 0, 0, 0, 0, 1728, 0, 0, 0, 0, 0, 0, 0, -1184, 0, 0, 0, 0, 0, 0, 0, 2128, 0, 0, 0, 0, 0, 0, 0, 1344, 0, 0, 0, 0, 0, 0, 0, 1888, 0, 0, 0, 0, 0, 0, 0, -1536, 0, 0, 0, 0, 0, 0, 0, -1824, 0, 0, 0, 0, 0, 0, 0, 12032, 0, 0, 0, 0, 0, 0, 0, -1952, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -4992, 0, 0, 0, 0, 0, 0, 0, 704, 0, 0, 0, 0, 0, 0, 0, -1920, 0, 0, 0, 0, 0, 0, 0, -4224, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, -10560, 0, 0, 0, 0, 0, 0, 0, 3072, 0, 0, 0, 0, 0, 0, 0, -6880, 0, 0, 0, 0, 0, 0, 0, 928, 0, 0, 0, 0, 0, 0, 0, 4224, 0, 0, 0, 0, 0, 0, 0, 3328, 0, 0, 0, 0, 0, 0, 0, -3200, 0, 0, 0, 0, 0, 0, 0, 1440, 0, 0, 0, 0, 0, 0, 0, 10656, 0, 0, 0, 0, 0, 0, 0, 1280, 0, 0, 0, 0, 0, 0, 0, 6912, 0, 0, 0, 0, 0, 0, 0, -6048, 0, 0, 0, 0, 0, 0, 0, 592, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, 672, 0, 0, 0, 0, 0, 0, 0, 1856, 0, 0, 0, 0, 0, 0, 0, -2016, 0, 0, 0, 0, 0, 0, 0, -4832, 0, 0, 0, 0, 0, 0, 0, -1856, 0, 0, 0, 0, 0, 0, 0, 1536, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 0, 0, 0, 0, 0, 0, -5376, 0, 0, 0, 0, 0, 0, 0, -4800, 0, 0, 0, 0, 0, 0, 0, 6880, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, -3552, 0, 0, 0, 0, 0, 0, 0, -5936, 0, 0, 0, 0, 0, 0, 0, 2688, 0, 0, 0, 0, 0, 0, 0, 9440, 0, 0, 0, 0, 0, 0, 0, -12480, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 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: 40587511
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 319, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268024549760, 'target_is_minimal': True, 'target_label': '384.3.b.c.319.2', 'target_level': 384, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 40587512
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 40532465416144000, 'target_is_minimal': False, 'target_label': '1152.3.b.j.703.6', 'target_level': 1152, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 40587513
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 319, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 9007268024549760, 'target_is_minimal': True, 'target_label': '384.3.b.c.319.6', 'target_level': 384, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 40587514
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 319, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007268024549760, 'target_is_minimal': True, 'target_label': '384.3.b.c.319.3', 'target_level': 384, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 40587515
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 319, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9007268024549760, 'target_is_minimal': True, 'target_label': '384.3.b.c.319.7', 'target_level': 384, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 40587516
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 40532465416144000, 'target_is_minimal': False, 'target_label': '1152.3.b.j.703.5', 'target_level': 1152, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 40587517
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 511, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27022010131415808, 'target_is_minimal': False, 'target_label': '768.3.g.g.511.3', 'target_level': 768, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 40587518
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 511, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007611621933824, 'target_is_minimal': False, 'target_label': '768.3.g.c.511.4', 'target_level': 768, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 40587519
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 511, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007611621933824, 'target_is_minimal': False, 'target_label': '768.3.g.c.511.2', 'target_level': 768, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 40587520
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 511, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27022010131415808, 'target_is_minimal': False, 'target_label': '768.3.g.g.511.1', 'target_level': 768, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 3}
  • id: 40587521
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 40532465416144000, 'target_is_minimal': False, 'target_label': '1152.3.b.j.703.4', 'target_level': 1152, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 40587522
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 703, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 40532465416144000, 'target_is_minimal': False, 'target_label': '1152.3.b.j.703.3', 'target_level': 1152, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 40587523
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 1279, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103583203796715776, 'target_is_minimal': False, 'target_label': '2304.3.g.x.1279.1', 'target_level': 2304, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 40587524
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 1279, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 103583203796715776, 'target_is_minimal': False, 'target_label': '2304.3.g.x.1279.2', 'target_level': 2304, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 40587525
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 1279, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 63050807150381312, 'target_is_minimal': False, 'target_label': '2304.3.g.o.1279.3', 'target_level': 2304, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 3}
  • id: 40587526
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 319, 'source_dim': 8, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007268024549760, 'source_is_minimal': True, 'source_label': '384.3.b.c.319.2', 'source_level': 384, 'target_conrey_index': 1279, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 63050807150381312, 'target_is_minimal': False, 'target_label': '2304.3.g.o.1279.4', 'target_level': 2304, 'twist_class_label': '384.3.b.c.319.2', 'twist_class_level': 384, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 805250
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9007268024549760, 'p': 2}
  • id: 805251
    {'charpoly_factorization': [[[-3, 0, 1], 4]], 'hecke_orbit_code': 9007268024549760, 'p': 3}
  • id: 805252
    {'charpoly_factorization': [[[64, 0, 80, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 5}
  • id: 805253
    {'charpoly_factorization': [[[8, 0, 1], 4]], 'hecke_orbit_code': 9007268024549760, 'p': 7}
  • id: 805254
    {'charpoly_factorization': [[[6400, 0, -352, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 11}
  • id: 805255
    {'charpoly_factorization': [[[6400, 0, 224, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 13}
  • id: 805256
    {'charpoly_factorization': [[[-380, 4, 1], 4]], 'hecke_orbit_code': 9007268024549760, 'p': 17}
  • id: 805257
    {'charpoly_factorization': [[[6400, 0, -352, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 19}
  • id: 805258
    {'charpoly_factorization': [[[541696, 0, 1600, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 23}
  • id: 805259
    {'charpoly_factorization': [[[40000, 0, 2000, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 29}
  • id: 805260
    {'charpoly_factorization': [[[14400, 0, 2832, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 31}
  • id: 805261
    {'charpoly_factorization': [[[2310400, 0, 3104, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 37}
  • id: 805262
    {'charpoly_factorization': [[[-60, -36, 1], 4]], 'hecke_orbit_code': 9007268024549760, 'p': 41}
  • id: 805263
    {'charpoly_factorization': [[[9935104, 0, -6496, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 43}
  • id: 805264
    {'charpoly_factorization': [[[7750656, 0, 6720, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 47}
  • id: 805265
    {'charpoly_factorization': [[[14400, 0, 4944, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 53}
  • id: 805266
    {'charpoly_factorization': [[[-1200, 0, 1], 4]], 'hecke_orbit_code': 9007268024549760, 'p': 59}
  • id: 805267
    {'charpoly_factorization': [[[2408704, 0, 4640, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 61}
  • id: 805268
    {'charpoly_factorization': [[[92416, 0, -8800, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 67}
  • id: 805269
    {'charpoly_factorization': [[[71910400, 0, 20032, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 71}
  • id: 805270
    {'charpoly_factorization': [[[10, 1], 8]], 'hecke_orbit_code': 9007268024549760, 'p': 73}
  • id: 805271
    {'charpoly_factorization': [[[21160000, 0, 18448, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 79}
  • id: 805272
    {'charpoly_factorization': [[[21678336, 0, -13920, 0, 1], 2]], 'hecke_orbit_code': 9007268024549760, 'p': 83}
  • id: 805273
    {'charpoly_factorization': [[[-380, 68, 1], 4]], 'hecke_orbit_code': 9007268024549760, 'p': 89}
  • id: 805274
    {'charpoly_factorization': [[[2820, 132, 1], 4]], 'hecke_orbit_code': 9007268024549760, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 2, 'hecke_orbit': 3, 'label': '384.3.b.c', 'level': 384, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 29677201
    {'hecke_orbit_code': 9007268024549760, 'n': 1, 'trace_an': 8}
  • id: 29677202
    {'hecke_orbit_code': 9007268024549760, 'n': 2, 'trace_an': 0}
  • id: 29677203
    {'hecke_orbit_code': 9007268024549760, 'n': 3, 'trace_an': 0}
  • id: 29677204
    {'hecke_orbit_code': 9007268024549760, 'n': 4, 'trace_an': 0}
  • id: 29677205
    {'hecke_orbit_code': 9007268024549760, 'n': 5, 'trace_an': 0}
  • id: 29677206
    {'hecke_orbit_code': 9007268024549760, 'n': 6, 'trace_an': 0}
  • id: 29677207
    {'hecke_orbit_code': 9007268024549760, 'n': 7, 'trace_an': 0}
  • id: 29677208
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  • id: 29677210
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  • id: 29677211
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  • id: 29677212
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  • id: 29677213
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  • id: 29677214
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  • id: 29677215
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  • id: 29677216
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  • id: 29677217
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  • id: 29677218
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  • id: 29677219
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  • id: 29677220
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  • id: 29677221
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  • id: 29677222
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  • id: 29677223
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  • id: 29677224
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  • id: 29677225
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  • id: 29677226
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  • id: 29677227
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  • id: 29677228
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  • id: 29677229
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  • id: 29677230
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  • id: 29677231
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  • id: 29677232
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  • id: 29677233
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  • id: 29677234
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  • id: 29677235
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  • id: 29677236
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  • id: 29677237
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  • id: 29677238
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  • id: 29677239
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  • id: 29677240
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  • id: 29677241
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  • id: 29677242
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  • id: 29677243
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  • id: 29677244
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  • id: 29677245
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  • id: 29677246
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  • id: 29677247
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  • id: 29677248
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  • id: 29677249
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  • id: 29677250
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  • id: 29677251
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  • id: 29677252
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  • id: 29677253
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  • id: 29677254
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  • id: 29677255
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  • id: 29677256
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  • id: 29677257
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  • id: 29677258
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  • id: 29677259
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  • id: 29677260
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  • id: 29677261
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  • id: 29677262
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  • id: 29677263
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  • id: 29677264
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  • id: 29677265
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  • id: 29677266
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  • id: 29677267
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  • id: 29677268
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  • id: 29677269
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  • id: 29677270
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  • id: 29677271
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  • id: 29677272
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  • id: 29677273
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  • id: 29677274
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  • id: 29677275
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  • id: 29677276
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  • id: 29677277
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  • id: 29677278
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  • id: 29677279
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  • id: 29677280
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  • id: 29677281
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  • id: 29677282
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  • id: 29677283
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  • id: 29677284
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  • id: 29677285
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  • id: 29677286
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  • id: 29677287
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  • id: 29677288
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  • id: 29677289
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  • id: 29677290
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  • id: 29677291
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  • id: 29677292
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  • id: 29677293
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  • id: 29677294
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  • id: 29677295
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  • id: 29677296
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  • id: 29677297
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  • id: 29677298
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  • id: 29677299
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  • id: 29677300
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