Embedded newform data - 3328.2.a.p.1.1

Formats: - HTML - YAML - JSON - 2026-05-09T22:43:29.508426

• 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': 13312, 'analytic_conductor': 26.574213792682112, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [13, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3328, 1, [1535, 261, 769], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-1, 2, 1]], [5, [-7, 2, 1]], [7, [7, -6, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444115200, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3328.2.a.p', 'level': 3328, '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, 13], 'level_radical': 26, 'minimal_twist': '832.2.b.a', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta )q^{3}+(-1-2\\beta )q^{5}+(3-\\beta )q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3328.2.a', 'trace_display': [0, -2, -2, 6], 'trace_hash': 1384645703130890521, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.036', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.924', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.064', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.287', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '62.287', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.017', 'prec': 17}, 'traces': [2, 0, -2, 0, -2, 0, 6, 0, 0, 0, -4, 0, -2, 0, -6, 0, 2, 0, 0, 0, -10, 0, 12, 0, 8, 0, -2, 0, 4, 0, -4, 0, -4, 0, 2, 0, -14, 0, 2, 0, 8, 0, 14, 0, 16, 0, 10, 0, 8, 0, -2, 0, 4, 0, 20, 0, -16, 0, -16, 0, 0, 0, 8, 0, 2, 0, -12, 0, -20, 0, 2, 0, -8, 0, 8, 0, -4, 0, -4, 0, -2, 0, 4, 0, -2, 0, 12, 0, 16, 0, -6, 0, -12, 0, 32, 0, -4, 0, 16, 0, 24, 0, 4, 0, -22, 0, 12, 0, 18, 0, 14, 0, -20, 0, 4, 0, 0, 0, 6, 0, 2, 0, -24, 0, -30, 0, 12, 0, -18, 0, 14, 0, 16, 0, 10, 0, -20, 0, -6, 0, 2, 0, 4, 0, -36, 0, -32, 0, 20, 0, -10, 0, 0, 0, 36, 0, -32, 0, 12, 0, 44, 0, 12, 0, 4, 0, -4, 0, 2, 0, 32, 0, -28, 0, 8, 0, 16, 0, -6, 0, 4, 0, 0, 0, 14, 0, -4, 0, -2, 0, 44, 0, 20, 0, 6, 0, 14, 0, 20, 0, 20, 0, -4, 0, 24, 0, 16, 0, 32, 0, 6, 0, 34, 0, -6, 0, 4, 0, -8, 0, -2, 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-16, 0, 38, 0, -24, 0, -92, 0, -32, 0, -146, 0, -32, 0, 48, 0, -12, 0, -32, 0, 54, 0, 88, 0, 46, 0, -68, 0, 40, 0, -16, 0, -2, 0, -64, 0, 8, 0, 72, 0, 56, 0, 12, 0, -14, 0, 14, 0, 80, 0, -66, 0, -78, 0, 4, 0, -32, 0, -10, 0, -10, 0, -168, 0, 136, 0, -8, 0, 38, 0, 12, 0, 44, 0, -86, 0, 44, 0, -8, 0, 98, 0, -6, 0, 0, 0, -80, 0, 130, 0, -86, 0, -44, 0, 128, 0, -96, 0, 32, 0, 56, 0, 0, 0, -204, 0, -78, 0, -34, 0, 12, 0, -80, 0, -56, 0, -52, 0, 76, 0, 36, 0, -52, 0, 66, 0, 88, 0, -110, 0, -104, 0, -160, 0, 6, 0, -150, 0, 32, 0, 40, 0, -12, 0, 4, 0, 68, 0, -34, 0, -20, 0, 56, 0, 150, 0, -80, 0, 0, 0, -4, 0, 14, 0, -80, 0, -36, 0, -208, 0, 128, 0, -38, 0, -122, 0, -24, 0, -4, 0, 68, 0, 10, 0, 50, 0, 8, 0, 28, 0, -94, 0, 128, 0, -118, 0, 110, 0, 114, 0, -132, 0, -116, 0, -124, 0, 0, 0, 48, 0, 96, 0, 2, 0, -164, 0, 36, 0, -2, 0, -92, 0, 54, 0, 24, 0, -72, 0, -12, 0, -64, 0, 16, 0, -28, 0, -180, 0, -22, 0, -46, 0, -56, 0, -196, 0, 32, 0, -12, 0, -136, 0, -94, 0, 136, 0, 68, 0, 14, 0, 88, 0, 28, 0, 32, 0, 92, 0, -16, 0, -12, 0, 6, 0, 28, 0, -32, 0, -110, 0, -28, 0, -34, 0, -128, 0, -14, 0, -10, 0, -8, 0, -124, 0, -42, 0, -28, 0, 0, 0, -32, 0, 58, 0, -124, 0, -172, 0, -48, 0, -48, 0, -8, 0, 8, 0, 22, 0, 16, 0, 52, 0, 64, 0, -36, 0, -152, 0, 0, 0, -84, 0, 32, 0, -72, 0, 14, 0, -116, 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], [0.0, 0.0], [-1.3938468501173518, 0.0], [0.0, 0.0], [0.8176974685673938, 0.0], [0.0, 0.0], [1.6684159028525305, 0.0], [0.0, 0.0], [0.9428090415820634, 0.0], [0.0, 0.0], [0.24978017626691448, 0.0], [0.0, 0.0], [-0.2773500981126146, 0.0], [0.0, 0.0], [-1.1397450409115941, 0.0], [0.0, 0.0], [0.24253562503633297, 0.0], [0.0, 0.0], [1.2977713690461004, 0.0], [0.0, 0.0], [-2.325516250876697, 0.0], [0.0, 0.0], [1.840854308962037, 0.0], [0.0, 0.0], [-0.33137084989847604, 0.0], [0.0, 0.0], [0.07971543724603342, 0.0], [0.0, 0.0], [-0.6790607865236767, 0.0], [0.0, 0.0], [0.6567904119479742, 0.0], [0.0, 0.0], [-0.3481553119113957, 0.0], [0.0, 0.0], [1.364259460280097, 0.0], [0.0, 0.0], [-1.150792911137501, 0.0], [0.0, 0.0], [0.3865835606340063, 0.0], [0.0, 0.0], [1.5081472561531966, 0.0], [0.0, 0.0], [1.2831555387351095, 0.0], [0.0, 0.0], [0.7709325666441039, 0.0], [0.0, 0.0], [0.11047220973419673, 0.0], [0.0, 0.0], [1.7836116248912244, 0.0], [0.0, 0.0], [-0.33805751699813585, 0.0], [0.0, 0.0], [-0.5023075619884333, 0.0], [0.0, 0.0], [0.2042446178317734, 0.0], [0.0, 0.0], [-1.8088945349173902, 0.0], [0.0, 0.0], [-1.0415112878465909, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.5729975983286673, 0.0], [0.0, 0.0], [-0.22678847313360323, 0.0], [0.0, 0.0], [-1.0785640363703755, 0.0], [0.0, 0.0], [-2.5658689800716896, 0.0], [0.0, 0.0], [-1.391848279114655, 0.0], [0.0, 0.0], [0.1939201220973721, 0.0], [0.0, 0.0], [0.4618802153517006, 0.0], [0.0, 0.0], [0.41673721830102833, 0.0], [0.0, 0.0], [-1.8161321485366648, 0.0], [0.0, 0.0], [-1.0539201526931745, 0.0], [0.0, 0.0], [-1.332772531433285, 0.0], [0.0, 0.0], [0.1983207666296201, 0.0], [0.0, 0.0], [0.9465067383342383, 0.0], [0.0, 0.0], [1.4476236552017772, 0.0], [0.0, 0.0], [-0.4627353143487957, 0.0], [0.0, 0.0], [-0.9154652468809618, 0.0], [0.0, 0.0], [1.0611843632482372, 0.0], [0.0, 0.0], [-0.7774357599209143, 0.0], [0.0, 0.0], [0.2354950085924085, 0.0], [0.0, 0.0]], 'angles': [None, -0.37272413383184566, -0.18296518170982767, -0.09296262627614825, -0.23007108734334805, None, -0.23065200755228105, -0.13761766706582093, -0.06392053028957691, -0.305134071335748, -0.19674611127453243, -0.3475761137492201, -0.11404308015648672, -0.13914008153265583, -0.24120442441063966, -0.29040499305237283, -0.337174867380831, -0.25, -0.34065215577575, -0.3725025139070572, -0.23454404462104675, -0.43122069618925984, -0.3660798999997561, -0.1211941793322462, -0.3135409601272967, -0.07928525492546394, -0.10366560620804102, -0.20316886090100808, -0.2244079324921129, -0.3279380434444061, -0.18594388238191356, -0.19009378065715665, -0.2797000933866674, -0.2607116248966396, -0.0810714847654369, -0.2549053770498822, -0.3177134736693468, -0.1539964341069866, -0.2274056777662132, -0.3393173073131699, -0.330058684804973, -0.2716972443918963, -0.12801107869134967, -0.25752787565771246, -0.20988911078290323, -0.2414512145470348, -0.22572341143345964, -0.19799793986505732, -0.3208213687359272, -0.3613240223383611, -0.15074544942579668, -0.12347960582042479, -0.31859125004606637, -0.18098400738770856, -0.12510325807118838, -0.3416182994381899, -0.25, -0.2970185260477831, -0.11498633338183331, -0.2690341173484425, -0.10729913837904258, -0.23443302139939248, -0.1533301201956951, -0.29736891320971937, -0.44304644082017575, -0.10136718642893364, -0.26389000128587214, -0.30377969314816133, -0.15594613086662945, -0.24220836549826516, -0.3032681228050792, -0.1389712617171619, -0.3548561330284468, -0.18818741914272433, -0.2601657972685316, -0.2407560373778386, -0.3756137140904486, -0.22316884813064208, -0.13606304352550466, -0.3162003532973963, -0.2373806465094388, -0.30048140635900406, -0.12486474788198226, -0.46231092170933274, -0.389977244781492, -0.3378391004249635, -0.33387196619251813, -0.14434773498165404, -0.21008548749360653, -0.20897499580942236, -0.2573674433926857, -0.2851385748224089, -0.21002104241292383, -0.3582429696453325, -0.21281647121897448, -0.31439218924181184, -0.3282982999676501, -0.29544195180121313, -0.24064718331054102, -0.22595956638221462], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.4142135623730951, 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444115200, 'label': '3328.2.a.p.1.1', 'level': 3328, '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

  
  {'ALdims': [22, 26, 26, 22], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [11, 12, 12, 12], 'ALdims_old': [79, 82, 86, 82], 'Nk2': 13312, 'analytic_conductor': 26.574213792682112, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3328, 1, [1535, 261, 769], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 425, 'dim': 96, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 33557760, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 6, 6], 'label': '3328.2.a', 'level': 3328, '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, 13], 'level_radical': 26, 'mf_dim': 472, 'mf_new_dim': 96, 'num_forms': 42, 'plus_dim': 44, 'prim_orbit_index': 1, 'relative_dim': 96, 'sturm_bound': 896, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 640, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 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: 47897677
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444115200, 'source_is_minimal': False, 'source_label': '3328.2.a.p.1.1', 'source_level': 3328, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444115200, 'target_is_minimal': False, 'target_label': '3328.2.a.p.1.1', 'target_level': 3328, 'twist_class_label': '832.2.b.a.417.1', 'twist_class_level': 832, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47897678
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444115200, 'source_is_minimal': False, 'source_label': '3328.2.a.p.1.1', 'source_level': 3328, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391090449664, 'target_is_minimal': False, 'target_label': '3328.2.a.y.1.2', 'target_level': 3328, 'twist_class_label': '832.2.b.a.417.1', 'twist_class_level': 832, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47897679
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444115200, 'source_is_minimal': False, 'source_label': '3328.2.a.p.1.1', 'source_level': 3328, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594071485696, 'target_is_minimal': False, 'target_label': '3328.2.a.q.1.1', 'target_level': 3328, 'twist_class_label': '832.2.b.a.417.1', 'twist_class_level': 832, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47897680
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444115200, 'source_is_minimal': False, 'source_label': '3328.2.a.p.1.1', 'source_level': 3328, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 121597189972561152, 'target_is_minimal': False, 'target_label': '3328.2.a.bb.1.2', 'target_level': 3328, 'twist_class_label': '832.2.b.a.417.1', 'twist_class_level': 832, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47897681
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444115200, 'source_is_minimal': False, 'source_label': '3328.2.a.p.1.1', 'source_level': 3328, 'target_conrey_index': 417, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503668380402496, 'target_is_minimal': True, 'target_label': '832.2.b.b.417.4', 'target_level': 832, 'twist_class_label': '832.2.b.a.417.1', 'twist_class_level': 832, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47897682
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444115200, 'source_is_minimal': False, 'source_label': '3328.2.a.p.1.1', 'source_level': 3328, 'target_conrey_index': 417, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 68753032000, 'target_is_minimal': True, 'target_label': '832.2.b.a.417.4', 'target_level': 832, 'twist_class_label': '832.2.b.a.417.1', 'twist_class_level': 832, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47897683
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444115200, 'source_is_minimal': False, 'source_label': '3328.2.a.p.1.1', 'source_level': 3328, 'target_conrey_index': 417, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503668380402496, 'target_is_minimal': True, 'target_label': '832.2.b.b.417.1', 'target_level': 832, 'twist_class_label': '832.2.b.a.417.1', 'twist_class_level': 832, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47897684
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444115200, 'source_is_minimal': False, 'source_label': '3328.2.a.p.1.1', 'source_level': 3328, 'target_conrey_index': 417, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68753032000, 'target_is_minimal': True, 'target_label': '832.2.b.a.417.1', 'target_level': 832, 'twist_class_label': '832.2.b.a.417.1', 'twist_class_level': 832, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3123425
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444115200, 'p': 2}
  • id: 3123426
    {'charpoly_factorization': [[[-1, 2, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 3}
  • id: 3123427
    {'charpoly_factorization': [[[-7, 2, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 5}
  • id: 3123428
    {'charpoly_factorization': [[[7, -6, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 7}
  • id: 3123429
    {'charpoly_factorization': [[[-4, 4, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 11}
  • id: 3123430
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 67553994444115200, 'p': 13}
  • id: 3123431
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 67553994444115200, 'p': 17}
  • id: 3123432
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 19}
  • id: 3123433
    {'charpoly_factorization': [[[28, -12, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 23}
  • id: 3123434
    {'charpoly_factorization': [[[-28, -4, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 29}
  • id: 3123435
    {'charpoly_factorization': [[[-28, 4, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 31}
  • id: 3123436
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 67553994444115200, 'p': 37}
  • id: 3123437
    {'charpoly_factorization': [[[-16, -8, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 41}
  • id: 3123438
    {'charpoly_factorization': [[[47, -14, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 43}
  • id: 3123439
    {'charpoly_factorization': [[[7, -10, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 47}
  • id: 3123440
    {'charpoly_factorization': [[[-28, -4, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 53}
  • id: 3123441
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 67553994444115200, 'p': 59}
  • id: 3123442
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444115200, 'p': 61}
  • id: 3123443
    {'charpoly_factorization': [[[28, 12, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 67}
  • id: 3123444
    {'charpoly_factorization': [[[-161, -2, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 71}
  • id: 3123445
    {'charpoly_factorization': [[[-16, 8, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 73}
  • id: 3123446
    {'charpoly_factorization': [[[-196, 4, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 79}
  • id: 3123447
    {'charpoly_factorization': [[[-196, -4, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 83}
  • id: 3123448
    {'charpoly_factorization': [[[32, -16, 1], 1]], 'hecke_orbit_code': 67553994444115200, 'p': 89}
  • id: 3123449
    {'charpoly_factorization': [[[-28, 4, 1], 1]], 'hecke_orbit_code': 67553994444115200, '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': 1, 'hecke_orbit': 16, 'label': '3328.2.a.p', 'level': 3328, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 60505363
    {'hecke_orbit_code': 67553994444115200, 'n': 1, 'trace_an': 2}
  • id: 60505364
    {'hecke_orbit_code': 67553994444115200, 'n': 2, 'trace_an': 0}
  • id: 60505365
    {'hecke_orbit_code': 67553994444115200, 'n': 3, 'trace_an': -2}
  • id: 60505366
    {'hecke_orbit_code': 67553994444115200, 'n': 4, 'trace_an': 0}
  • id: 60505367
    {'hecke_orbit_code': 67553994444115200, 'n': 5, 'trace_an': -2}
  • id: 60505368
    {'hecke_orbit_code': 67553994444115200, 'n': 6, 'trace_an': 0}
  • id: 60505369
    {'hecke_orbit_code': 67553994444115200, 'n': 7, 'trace_an': 6}
  • id: 60505370
    {'hecke_orbit_code': 67553994444115200, 'n': 8, 'trace_an': 0}
  • id: 60505371
    {'hecke_orbit_code': 67553994444115200, 'n': 9, 'trace_an': 0}
  • id: 60505372
    {'hecke_orbit_code': 67553994444115200, 'n': 10, 'trace_an': 0}
  • id: 60505373
    {'hecke_orbit_code': 67553994444115200, 'n': 11, 'trace_an': -4}
  • id: 60505374
    {'hecke_orbit_code': 67553994444115200, 'n': 12, 'trace_an': 0}
  • id: 60505375
    {'hecke_orbit_code': 67553994444115200, 'n': 13, 'trace_an': -2}
  • id: 60505376
    {'hecke_orbit_code': 67553994444115200, 'n': 14, 'trace_an': 0}
  • id: 60505377
    {'hecke_orbit_code': 67553994444115200, 'n': 15, 'trace_an': -6}
  • id: 60505378
    {'hecke_orbit_code': 67553994444115200, 'n': 16, 'trace_an': 0}
  • id: 60505379
    {'hecke_orbit_code': 67553994444115200, 'n': 17, 'trace_an': 2}
  • id: 60505380
    {'hecke_orbit_code': 67553994444115200, 'n': 18, 'trace_an': 0}
  • id: 60505381
    {'hecke_orbit_code': 67553994444115200, 'n': 19, 'trace_an': 0}
  • id: 60505382
    {'hecke_orbit_code': 67553994444115200, 'n': 20, 'trace_an': 0}
  • id: 60505383
    {'hecke_orbit_code': 67553994444115200, 'n': 21, 'trace_an': -10}
  • id: 60505384
    {'hecke_orbit_code': 67553994444115200, 'n': 22, 'trace_an': 0}
  • id: 60505385
    {'hecke_orbit_code': 67553994444115200, 'n': 23, 'trace_an': 12}
  • id: 60505386
    {'hecke_orbit_code': 67553994444115200, 'n': 24, 'trace_an': 0}
  • id: 60505387
    {'hecke_orbit_code': 67553994444115200, 'n': 25, 'trace_an': 8}
  • id: 60505388
    {'hecke_orbit_code': 67553994444115200, 'n': 26, 'trace_an': 0}
  • id: 60505389
    {'hecke_orbit_code': 67553994444115200, 'n': 27, 'trace_an': -2}
  • id: 60505390
    {'hecke_orbit_code': 67553994444115200, 'n': 28, 'trace_an': 0}
  • id: 60505391
    {'hecke_orbit_code': 67553994444115200, 'n': 29, 'trace_an': 4}
  • id: 60505392
    {'hecke_orbit_code': 67553994444115200, 'n': 30, 'trace_an': 0}
  • id: 60505393
    {'hecke_orbit_code': 67553994444115200, 'n': 31, 'trace_an': -4}
  • id: 60505394
    {'hecke_orbit_code': 67553994444115200, 'n': 32, 'trace_an': 0}
  • id: 60505395
    {'hecke_orbit_code': 67553994444115200, 'n': 33, 'trace_an': -4}
  • id: 60505396
    {'hecke_orbit_code': 67553994444115200, 'n': 34, 'trace_an': 0}
  • id: 60505397
    {'hecke_orbit_code': 67553994444115200, 'n': 35, 'trace_an': 2}
  • id: 60505398
    {'hecke_orbit_code': 67553994444115200, 'n': 36, 'trace_an': 0}
  • id: 60505399
    {'hecke_orbit_code': 67553994444115200, 'n': 37, 'trace_an': -14}
  • id: 60505400
    {'hecke_orbit_code': 67553994444115200, 'n': 38, 'trace_an': 0}
  • id: 60505401
    {'hecke_orbit_code': 67553994444115200, 'n': 39, 'trace_an': 2}
  • id: 60505402
    {'hecke_orbit_code': 67553994444115200, 'n': 40, 'trace_an': 0}
  • id: 60505403
    {'hecke_orbit_code': 67553994444115200, 'n': 41, 'trace_an': 8}
  • id: 60505404
    {'hecke_orbit_code': 67553994444115200, 'n': 42, 'trace_an': 0}
  • id: 60505405
    {'hecke_orbit_code': 67553994444115200, 'n': 43, 'trace_an': 14}
  • id: 60505406
    {'hecke_orbit_code': 67553994444115200, 'n': 44, 'trace_an': 0}
  • id: 60505407
    {'hecke_orbit_code': 67553994444115200, 'n': 45, 'trace_an': 16}
  • id: 60505408
    {'hecke_orbit_code': 67553994444115200, 'n': 46, 'trace_an': 0}
  • id: 60505409
    {'hecke_orbit_code': 67553994444115200, 'n': 47, 'trace_an': 10}
  • id: 60505410
    {'hecke_orbit_code': 67553994444115200, 'n': 48, 'trace_an': 0}
  • id: 60505411
    {'hecke_orbit_code': 67553994444115200, 'n': 49, 'trace_an': 8}
  • id: 60505412
    {'hecke_orbit_code': 67553994444115200, 'n': 50, 'trace_an': 0}
  • id: 60505413
    {'hecke_orbit_code': 67553994444115200, 'n': 51, 'trace_an': -2}
  • id: 60505414
    {'hecke_orbit_code': 67553994444115200, 'n': 52, 'trace_an': 0}
  • id: 60505415
    {'hecke_orbit_code': 67553994444115200, 'n': 53, 'trace_an': 4}
  • id: 60505416
    {'hecke_orbit_code': 67553994444115200, 'n': 54, 'trace_an': 0}
  • id: 60505417
    {'hecke_orbit_code': 67553994444115200, 'n': 55, 'trace_an': 20}
  • id: 60505418
    {'hecke_orbit_code': 67553994444115200, 'n': 56, 'trace_an': 0}
  • id: 60505419
    {'hecke_orbit_code': 67553994444115200, 'n': 57, 'trace_an': -16}
  • id: 60505420
    {'hecke_orbit_code': 67553994444115200, 'n': 58, 'trace_an': 0}
  • id: 60505421
    {'hecke_orbit_code': 67553994444115200, 'n': 59, 'trace_an': -16}
  • id: 60505422
    {'hecke_orbit_code': 67553994444115200, 'n': 60, 'trace_an': 0}
  • id: 60505423
    {'hecke_orbit_code': 67553994444115200, 'n': 61, 'trace_an': 0}
  • id: 60505424
    {'hecke_orbit_code': 67553994444115200, 'n': 62, 'trace_an': 0}
  • id: 60505425
    {'hecke_orbit_code': 67553994444115200, 'n': 63, 'trace_an': 8}
  • id: 60505426
    {'hecke_orbit_code': 67553994444115200, 'n': 64, 'trace_an': 0}
  • id: 60505427
    {'hecke_orbit_code': 67553994444115200, 'n': 65, 'trace_an': 2}
  • id: 60505428
    {'hecke_orbit_code': 67553994444115200, 'n': 66, 'trace_an': 0}
  • id: 60505429
    {'hecke_orbit_code': 67553994444115200, 'n': 67, 'trace_an': -12}
  • id: 60505430
    {'hecke_orbit_code': 67553994444115200, 'n': 68, 'trace_an': 0}
  • id: 60505431
    {'hecke_orbit_code': 67553994444115200, 'n': 69, 'trace_an': -20}
  • id: 60505432
    {'hecke_orbit_code': 67553994444115200, 'n': 70, 'trace_an': 0}
  • id: 60505433
    {'hecke_orbit_code': 67553994444115200, 'n': 71, 'trace_an': 2}
  • id: 60505434
    {'hecke_orbit_code': 67553994444115200, 'n': 72, 'trace_an': 0}
  • id: 60505435
    {'hecke_orbit_code': 67553994444115200, 'n': 73, 'trace_an': -8}
  • id: 60505436
    {'hecke_orbit_code': 67553994444115200, 'n': 74, 'trace_an': 0}
  • id: 60505437
    {'hecke_orbit_code': 67553994444115200, 'n': 75, 'trace_an': 8}
  • id: 60505438
    {'hecke_orbit_code': 67553994444115200, 'n': 76, 'trace_an': 0}
  • id: 60505439
    {'hecke_orbit_code': 67553994444115200, 'n': 77, 'trace_an': -4}
  • id: 60505440
    {'hecke_orbit_code': 67553994444115200, 'n': 78, 'trace_an': 0}
  • id: 60505441
    {'hecke_orbit_code': 67553994444115200, 'n': 79, 'trace_an': -4}
  • id: 60505442
    {'hecke_orbit_code': 67553994444115200, 'n': 80, 'trace_an': 0}
  • id: 60505443
    {'hecke_orbit_code': 67553994444115200, 'n': 81, 'trace_an': -2}
  • id: 60505444
    {'hecke_orbit_code': 67553994444115200, 'n': 82, 'trace_an': 0}
  • id: 60505445
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  • id: 60505446
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  • id: 60505447
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  • id: 60505448
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  • id: 60505449
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  • id: 60505450
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  • id: 60505451
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  • id: 60505452
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  • id: 60505453
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  • id: 60505454
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  • id: 60505455
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  • id: 60505456
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  • id: 60505457
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  • id: 60505458
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  • id: 60505459
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  • id: 60505460
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  • id: 60505461
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  • id: 60505462
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  • id: 60505463
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  • id: 60505464
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  • id: 60505465
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  • id: 60505466
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  • id: 60505467
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  • id: 60505468
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  • id: 60505469
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  • id: 60505470
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  • id: 60505471
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  • id: 60505472
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  • id: 60505473
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  • id: 60505474
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  • id: 60505475
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  • id: 60505476
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  • id: 60505477
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  • id: 60505478
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  • id: 60505480
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  • id: 60505481
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  • id: 60505482
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  • id: 60505483
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  • id: 60505484
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  • id: 60505485
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  • id: 60505486
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  • id: 60505487
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  • id: 60505488
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  • id: 60505489
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  • id: 60505490
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  • id: 60505491
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  • id: 60505492
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  • id: 60505493
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  • id: 60505494
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  • id: 60505495
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  • id: 60505496
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  • id: 60505499
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  • id: 60505500
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  • id: 60505501
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  • id: 60505502
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  • id: 60505503
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  • id: 60505504
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  • id: 60505506
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  • id: 60505507
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  • id: 60505508
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  • id: 60505510
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  • id: 60505511
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  • id: 60505512
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  • id: 60505513
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  • id: 60505514
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  • id: 60505515
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  • id: 60505516
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  • id: 60505517
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  • id: 60505518
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  • id: 60505519
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  • id: 60505520
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  • id: 60505521
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  • id: 60505522
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  • id: 60505523
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  • id: 60505524
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  • id: 60505525
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  • id: 60505526
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  • id: 60505527
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  • id: 60505528
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  • id: 60505529
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  • id: 60505530
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  • id: 60505531
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  • id: 60505532
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  • id: 60505533
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  • id: 60505534
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  • id: 60505535
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  • id: 60505536
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  • id: 60505537
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  • id: 60505538
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  • id: 60505539
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  • id: 60505540
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  • id: 60505541
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  • id: 60505542
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  • id: 60505543
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  • id: 60505544
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  • id: 60505545
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  • id: 60505546
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  • id: 60505547
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  • id: 60505548
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  • id: 60505549
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  • id: 60505550
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  • id: 60505551
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  • id: 60505552
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  • id: 60505553
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  • id: 60505554
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  • id: 60505555
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  • id: 60505556
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  • id: 60505557
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  • id: 60505558
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  • id: 60505559
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  • id: 60505560
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  • id: 60505561
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  • id: 60505562
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  • id: 60505563
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  • id: 60505564
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  • id: 60505565
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  • id: 60505566
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  • id: 60505567
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  • id: 60505568
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  • id: 60505569
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  • id: 60505570
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  • id: 60505571
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  • id: 60505572
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  • id: 60505573
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  • id: 60505574
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  • id: 60505575
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  • id: 60505576
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  • id: 60505577
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  • id: 60505578
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  • id: 60505579
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  • id: 60505580
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  • id: 60505581
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  • id: 60505582
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  • id: 60505583
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  • id: 60505584
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  • id: 60505585
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  • id: 60505586
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  • id: 60505587
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  • id: 60505588
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  • id: 60505589
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  • id: 60505590
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  • id: 60505591
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  • id: 60505592
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  • id: 60505593
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  • id: 60505594
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  • id: 60505595
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  • id: 60505596
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  • id: 60505597
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  • id: 60505598
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  • id: 60505599
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  • id: 60505600
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  • id: 60505601
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  • id: 60505602
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  • id: 60505603
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  • id: 60505604
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  • id: 60505605
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  • id: 60505606
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  • id: 60505607
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  • id: 60505608
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  • id: 60505609
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  • id: 60505610
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  • id: 60505611
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  • id: 60505612
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  • id: 60505613
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  • id: 60505614
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  • id: 60505615
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  • id: 60505616
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  • id: 60505617
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  • id: 60505618
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  • id: 60505619
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  • id: 60505620
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