Embedded newform data - 435.3.b.b.434.1

Formats: - HTML - YAML - JSON - 2024-09-20T06:34:33.208475

• 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': 3915, 'analytic_conductor': 11.852891499672916, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 435, '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': [435, 2, [146, 262, 31], [1, 1, 1]], 'cm_discs': [-435], 'conrey_index': 434, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [0, 1]], [11, [-7, 1]], [23, [41, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503668397179315, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 435, 2, -1, 2, -435]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '435.3.b.b', 'level': 435, '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, 29], 'level_radical': 435, 'minimal_twist': '435.3.b.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 2, 'qexp_display': 'q-3q^{3}+4q^{4}+5q^{5}+9q^{9}+7q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '2.2.1.d2', 'self_twist_discs': [-435], 'self_twist_type': 1, 'space_label': '435.3.b', 'trace_display': [0, -3, 5, 0], 'trace_hash': 900797920929961371, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.007', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.020', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.018', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.050', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.491', 'prec': 17}, 'traces': [1, 0, -3, 4, 5, 0, 0, 0, 9, 0, 7, -12, 0, 0, -15, 16, 0, 0, 0, 20, 0, 0, -41, 0, 25, 0, -27, 0, 29, 0, 0, 0, -21, 0, 0, 36, 71, 0, 0, 0, -53, 0, 59, 28, 45, 0, 0, -48, 49, 0, 0, 0, 19, 0, 35, 0, 0, 0, 0, -60, 0, 0, 0, 64, 0, 0, 0, 0, 123, 0, 0, 0, -1, 0, -75, 0, 0, 0, 0, 80, 81, 0, 79, 0, 0, 0, -87, 0, -62, 0, 0, -164, 0, 0, 0, 0, -49, 0, 63, 100, -173, 0, 0, 0, 0, 0, -134, -108, -217, 0, -213, 0, 0, 0, -205, 116, 0, 0, 0, 0, -72, 0, 159, 0, 125, 0, -109, 0, -177, 0, 202, -84, 0, 0, -135, 0, 0, 0, -157, 0, 0, 0, 0, 144, 145, 0, -147, 284, 0, 0, -133, 0, 0, 0, 0, 0, 266, 0, -57, 0, 0, 0, -181, -212, -105, 0, -14, 0, 169, 0, 0, 236, 259, 0, 0, 112, 0, 0, 0, 180, -73, 0, 0, 0, 355, 0, 0, 0, 0, 0, -353, -192, 194, 0, 0, 196, -389, 0, -37, 0, 0, 0, 0, 0, -265, 0, -369, 0, 0, 0, 0, 76, 0, 0, 295, 0, 0, 0, 3, 140, 0, 0, 0, 0, 225, 0, -329, 0, 0, 0, 0, 0, 379, 0, 0, 0, 0, 0, 0, -240, 47, 0, -243, 0, 245, 0, 0, 0, -237, 0, -38, 0, -287, 0, 0, 256, -269, 0, 0, 0, 261, 0, 0, 0, 95, 0, 186, 0, -422, 0, 0, 0, 0, 0, 175, 492, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 289, 0, 147, -4, 0, 0, 0, 0, -189, 0, 0, -300, 0, 0, 519, 0, 0, 0, -469, 0, 0, 0, -593, 0, 0, 0, 0, 0, 0, 0, 203, 320, 402, 0, 0, 324, 0, 0, 651, 0, 0, 0, 0, 316, 639, 0, 0, 0, -94, 0, 0, 0, 0, 0, 0, 0, 615, 0, -89, -348, 263, 0, 0, 0, -686, 0, 0, -248, 0, 0, 703, 0, 361, 0, 216, 0, -5, 0, -589, -656, -477, 0, 0, 0, 0, 0, -375, 0, 0, 0, 0, 0, 327, 0, 679, 0, 0, 0, 531, -196, 643, 0, 0, 0, -606, 0, 0, 252, 0, 0, 0, 400, 0, 0, 0, -692, 405, 0, 497, 0, 0, 0, 0, 0, 0, 0, 395, 0, 471, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -536, 0, 0, 0, -432, -721, 0, -435, -868, 0, 0, -862, 0, 441, 0, 0, -852, -310, 0, 0, 0, 523, 0, -371, 0, 399, 0, 0, 0, 0, 0, 0, -820, -893, 0, 0, 464, 0, 0, 0, 0, 0, 0, -798, 0, 413, 0, 0, 0, 171, 0, 898, 0, 0, 0, 0, -288, -245, 0, 0, 0, 543, 0, -518, 636, 0, 0, 315, 0, 0, 0, -742, 500, 42, 0, 0, 0, -865, 0, -507, -436, 0, 0, 0, 0, 0, 0, 0, -708, 0, 0, -777, 0, 0, 0, 0, 808, 0, 0, 0, -336, 1152, 0, 0, 0, 0, 0, -670, 0, 0, 0, 343, -540, 0, 0, 219, 0, -1085, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1065, -628, 331, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1022, 0, 707, 0, 1059, 0, -1025, 576, -574, 0, -582, 580, 0, 0, 133, 0, 0, 0, 826, -588, 0, 0, 1167, 1136, -206, 0, 0, 0, 111, 0, 658, 0, 0, 0, 0, -532, -360, 0, 1106, 0, 0, 0, 0, 0, 0, 0, 795, 0, 0, 0, 0, 0, 1107, 0, 0, 0, 625, 0, 0, 1064, 0, 0, -478, 0, 0, 0, -545, -228, 0, 0, 0, 0, -1253, 0, 0, 0, -885, 0, 511, 0, 0, 0, 0, -724, 0, 0, 1010, -848, -9, 0, 103, -420, 887, 0, 0, 0, 0, 0, -1189, -56, 0, 0, 0, 0, 0, 0, -675, 676, 0, 0, 0, 0, 987, 0, 1279, 0, 0, 0, 0, 944, 0, 0, -358, 1036, 0, 0, -785, 0, 0, 0, -1137, 0, 0, 0, 0, 448, 0, 0, 0, 0, 983, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, -141, -292, 725, 0, 866, 0, 729, 0, 0, 0, -886, 0, -735, 0, 0, 0, 0, 1420, 0, 0, 0, 0, 0, 0, 711, 0, 0, 0, 0, 0, 114, 0, -665, 0, -1369, 0, 861, 0, 0, 0, 0, -1412, 0, 0, 0, -768, 0, 0, 807, 776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -783, 784, 1330, 0, 0, -1556, 0, 0, 0, 0, 0, 0, -285, -148, 0, 0, 0, 0, -558, 0, -7, 0, 0, 0, 1266, 0, -197, 0, 1187, 0, 0, 0, -905, 0, 0, 0, 0, -1060, 0, 0, 674, 0, -525, 0, 0, -1476, 0, 0, 0, 0, 0, 0, -70, 0, 0, 0, 178, 0, 841, 0, 0, 0, 845, 0, 0, 304, 0, 0, -2911, 0, -1561, 0, 0, 0, 931, 0, 0, 1180, 0, 0, -1406, 0, 1295, 0, -867, 0, 0, 0, 0, 0, -441, 0, 0, 12, 0, 0, 0, 560, 1747, 0, 0, 0, 0, 0, 0, 0, 0, 0, 567, 0, 0, 0, 0, 0, 0, 0, 0, 900, 0, 0, 0, 0, -365, 0, 1811, -1316, -1557, 0, 1687, 0, 553, 0, 0, 0, 0, 0, 98, 0, 1407, 0, 0, 0, 1775, 0, 0, 0, 0, 0, 0, 1516, 1779, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 514, 0, -1765, 0, -609, 0, 0, -960, 961, 0, -1206, 188, 970, 0, 1691, 0, 0, 0, 1567, -972, 0, 0, 0, 0, 1171, 0, -434, 980, -1953, 0, 0, 0, -1945, 0, 0, 0, -2419, 0, -1933, 0, 0, 0, -185, -948, 1631, 0, -1917, 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], [-1.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.6363636363636364, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.7826086956521738, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6363636363636364, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [1.9189189189189189, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2926829268292683, 0.0], [0.0, 0.0], [1.372093023255814, 0.0], [0.6363636363636364, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3584905660377358, 0.0], [0.0, 0.0], [0.6363636363636364, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7826086956521738, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.0136986301369863, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.9518072289156626, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [-0.6966292134831461, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.7826086956521738, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5051546391752577, 0.0], [0.0, 0.0], [0.6363636363636364, 0.0], [1.0, 0.0], [-1.7128712871287128, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2523364485981308, 0.0], [-1.0, 0.0], [-1.9908256880733946, 0.0], [0.0, 0.0], [-1.9189189189189189, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.7826086956521738, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5950413223140496, 0.0], [0.0, 0.0], [1.2926829268292683, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [-0.8582677165354331, 0.0], [0.0, 0.0], [-1.372093023255814, 0.0], [0.0, 0.0], [1.5419847328244274, 0.0], [-0.6363636363636364, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.129496402877698, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [1.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [1.9189189189189189, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8807947019867549, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.694267515923567, 0.0], [0.0, 0.0], [-0.3584905660377358, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.1104294478527608, 0.0], [-1.2926829268292683, 0.0], [-0.6363636363636364, 0.0], [0.0, 0.0], [-0.08383233532934131, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.372093023255814, 0.0], [1.4971098265895955, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6363636363636364, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [-0.40331491712707185, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.9189189189189189, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8481675392670156, 0.0], [-1.0, 0.0], [1.005181347150259, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [-1.9746192893401016, 0.0], [0.0, 0.0], [-0.18592964824120603, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2926829268292683, 0.0], [0.0, 0.0], [-1.7826086956521738, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3584905660377358, 0.0], [0.0, 0.0], [0.0, 0.0], [1.372093023255814, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0136986301369863, 0.0], [0.6363636363636364, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [-1.449339207048458, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.6266094420600858, 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], [-1.0, 0.0], [0.1950207468879668, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9518072289156626, 0.0], [0.0, 0.0], [-0.15139442231075698, 0.0], [0.0, 0.0], [-1.134387351778656, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], 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0.0, 0.0, -0.4251044750070006, None, 0.0, -0.04547347426942394, -0.3618509123702219, -0.12967231934978002, 0.0, -0.2213172145243329, 0.0, 0.0, 0.0, 0.0, -0.25109011087347427, 0.0, -0.1710605539114052, -0.3066229542626749, -0.29063910347751126, -0.4136630617818325, 0.0, -0.3576888429748936, -0.48474988786201, 0.0, -0.320590569904166, -0.10988031580631524, 0.0, -0.34551335498892555, 0.0, -0.32258121232979553, -0.08916312152431921, -0.343681960290139, -0.25667312032619793, -0.1153740149897979, 0.0, -0.28231638737340153, -0.4375849953624717, -0.16619014969828486, -0.47461761820878295, -0.2648172066370302, 0.0, 0.0, -0.3790038046632711, 0.0, -0.09883311169249011, 0.0, -0.23445604267851078, -0.26205912068280796, -0.3376582883069106, 0.0, -0.3935110649510067, 0.0, 0.0, 0.0, 0.0, 0.0, -0.3883450757318994, -0.4512088652433063, 0.0, 0.0, 0.0, -0.27226927762565983, -0.27046672316675713, -0.18851377653630855, -0.46202669565011134, -0.03258948768062908, -0.39823589872367315, 0.0, 0.0, -0.07659126349455449, -0.09517044353517386, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.40656383372356236, -0.46956946426579477, 0.0, -0.15105583263024389, 0.0, -0.45997663268189914, 0.0, 0.0, -0.05662668757747178, 0.0, -0.33843431003518093, -0.3834147376110442, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.20198568432279024, 0.0, -0.42751418542925707, -0.14375093879963105, -0.33285599122610793, -0.12579239518605256, -0.27778503545060446, -0.1574569744682465, 0.0, -0.06764117570213216, 0.0, 0.0, 0.0, -0.31182537424407536, -0.46608340775732754, 0.0, -0.1853896984792105, 0.0, -0.23754955154274096, -0.1329425880464285, 0.0, 0.0, -0.05710863850052645, -0.29170387561482863, 0.0, -0.12809352634206028, 0.0, -0.14845750324399867, -0.35328668397269686, 0.0, 0.0, 0.0, -0.4297761163634587, 0.0, 0.0, 0.0, 0.0, 0.0, -0.2694261502217846, -0.11933732004075176, 0.0, -0.1828555063027222, 0.0, 0.0, -0.2330852316117757, -0.4339071097140819, -0.1586112225017999, 0.0, -0.4015218135300111, 0.0, -0.02078195435561105, 0.0, 0.0, -0.0091545496995731, -0.06165191655475502, -0.24151001953662515, 0.0, 0.0, 0.0, 0.0, -0.2065419133063936, -0.08064284756929979, -0.10057177943934574, -0.14772610880149104, 0.0, -0.4645366168015679, -0.0975541975498321], 'char_orbit_index': 2, 'conrey_index': 434, 'dual_conrey_index': 434, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503668397179315, 'label': '435.3.b.b.434.1', 'level': 435, 'weight': 3}
• mf_newspaces •

  Column	Type
  ALdims	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': 3915, 'analytic_conductor': 11.852891499672916, 'char_conductor': 435, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [435, 2, [146, 262, 31], [1, 1, 1]], 'conrey_index': 434, 'cusp_dim': 116, 'dim': 116, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_cutter_primes': [2, 11, 23], 'hecke_orbit_code': 68769808819, 'hecke_orbit_dims': [1, 1, 1, 1, 112], 'label': '435.3.b', 'level': 435, '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, 29], 'level_radical': 435, 'mf_dim': 124, 'mf_new_dim': 124, 'num_forms': 5, 'prim_orbit_index': 2, 'relative_dim': 116, 'sturm_bound': 180, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [116, 0, 0, -232, 0, 4, 0, 0, -16, 0, 0, 0, 0, 0, 0, 440, 0, 0, 0, 0, 0, 0, 0, -108, -64, 0, 0, 0, 0, 124, 0, 0, 0, 56, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, -316, 0, 112, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 0, 0, -544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, -176, 0, 180, 0, 0, 0, -396, 0, 0, 0, 0, 0, 0, 0, 0, 316, 0, 588, 0, 0, 0, -148, 0, 0, 0, 0, -608, 1344, 0, 0, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 944, 0, 0, -316, 0, 400, 0, 0, -1036, 108, 0, 0, 0, 0, 184, 324, 0, 0, 712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -188, 0, 0, 0, -356, 0, 0, 0, 0, 1368, -1268, 0, 0, 0, 0, 312, -1236, 0, 0, 0, 0, 0, 0, 0, 0, 540, 0, 0, 0, 0, 0, -1104, 0, 0, 924, 0, 0, 0, 0, -1128, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 84, 0, 0, 620, 0, 0, 0, 0, 0, -852, -472, 0, 0, 0, 0, 1384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 316, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1000, -2472, 0, 0, 0, 0, -2056, 0, 0, 0, 796, 0, 0, 0, 0, 2160, 0, 0, 0, 3496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1860, -1720, 0, 0, 2548, 0, -1496, 0, 0, 1296, 324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -620, 0, 0, 0, 176, 0, 0, 0, 0, -472, 0, 0, 0, -2596, 0, 0, 0, 0, 3284, -2144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1148, 0, 0, 0, 0, -3740, 608, 0, 0, 0, 0, 0, -3732, 0, 0, 1368, 0, 0, 0, 0, 0, 164, 0, 0, 0, 0, 0, -1464, 0, 0, 0, 0, 1492, 0, 0, -2212, 0, 0, 0, 0, 0, 5140, 0, 0, 0, 0, 0, 0, 0, 0, 112, 5948, 0, 0, 0, 0, 880, 1328, 0, 0, 0, 0, -2732, 0, 0, 0, -4300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6632, 0, 0, 4360, 5116, 0, 0, 0, 0, -20, -2552, 0, 0, 208, 0, -584, 0, 0, -2560, 0, 0, 0, 0, 0, 0, 2020, 0, 0, 0, 0, 0, 0, 0, 3004, 4640, 0, 0, 0, 0, 2340, 0, 0, 0, -1824, 0, 3992, 0, 0, 0, 0, 0, 0, 0, 0, 4964, 0, 0, 0, -13040, 0, -5280, 0, 0, -1556, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 952, 0, 0, 1160, 0, 480, 0, 0, 0, -2164, 0, 0, 0, 0, 0, 0, 0, 0, -6344, 0, 5564, 0, 0, 0, -3992, 0, 0, 0, 0, -6264, 12384, 0, 0, 0, 0, 0, 0, 0, -9840, 0, 0, 0, 0, 0, 0, 5636, 0, 0, -5896, 0, 3252, 0, 0, -7316, 1028, 0, 0, 0, 0, 388, -328, 0, 0, 5952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2820, 0, 0, 0, -2664, 0, 0, 0, 0, 5760, -3816, 0, 0, 0, 0, 876, -6256, 0, 0, 0, 0, 0, 0, 0, 0, -4736, 0, 0, 0, 0, 0, 2032, 0, 0, 4584, 0, 0, 0, 0, -5432, 0, 0, 0, 0, 0, -2152, 0, 0, 0, 0, 0, 6148, 0, 0, 152, 0, 0, 0, 0, 0, 3116, -5236, 0, 0, 0, 0, 10624, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13448, -1856, 0, 0, 0, 0, -8176, 0, 0, 0, 10004, 0, 0, 0, 0, 8420, 0, 0, 0, 13308, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10756, -4280, 0, 0, 15896, 0, 5236, 0, 0, 2336, -5440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6248, 0, 0, 0, -2324, 0, 0, 0, 0, -2584, 0, 0, 0, -10576, 0, 0, 0, 0, 3788, -7708, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4592, 0, 0, 0, 0, -3544, 720, 0, 0, 0, 0, 0, -6040, 0, 0, 1448, 0, 0, 0, 0, 0, -3168, 0, 0, 0, 0, 0, -5772, 0, 0, 0, 0, 12440, 0, 0, -1852, 0, 0, 0, 0, 0, 8692, 0, 0, 0, 0, 0, 0, 0, 0, 9040, 15240, 0, 0, 0, 0, 5032, 4436, 0, 0, 0, 0, -14584, 0, 0, 0, -13316, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11920, 0, 0, 7404, 1904, 0, 0, 0, 0, -3064, -6192, 0, 0, -5376, 0, -4352, 0, 0, -10496, 0, 0, 0, 0, 0, 0, 17552, 0, 0, 0, 0, 0, 0, 0, 1160, 6224, 0, 0, 0, 0, -2508, 0, 0, 0, -2224, 0, 7400, 0, 0, 0, 0, 0, 0, 0, 0, 8040, 0, 0, 0, -17408, 0, -16740, 0, 0, -7824, 0, 0, 0, 0, 0, 0, 0, 0, 0, 600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10080, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13748, 0, 0, -1768, 0, 1508, 0, 0, 0, -14152, 0, 0, 0, 0, 0, 0, 0, 0, -11032, 0, 7996, 0, 0, 0, -4160, 0, 0, 0, 0, -20856, 15172, 0, 0, 0, 0, 0, 0, 0, -14636, 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: 34563328
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 434, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668397179315, 'source_is_minimal': True, 'source_label': '435.3.b.b.434.1', 'source_level': 435, 'target_conrey_index': 434, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503668397179315, 'target_is_minimal': True, 'target_label': '435.3.b.b.434.1', 'target_level': 435, 'twist_class_label': '435.3.b.a.434.1', 'twist_class_level': 435, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 34563329
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 434, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668397179315, 'source_is_minimal': True, 'source_label': '435.3.b.b.434.1', 'source_level': 435, 'target_conrey_index': 434, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68769808819, 'target_is_minimal': True, 'target_label': '435.3.b.a.434.1', 'target_level': 435, 'twist_class_label': '435.3.b.a.434.1', 'twist_class_level': 435, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 34563330
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 434, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668397179315, 'source_is_minimal': True, 'source_label': '435.3.b.b.434.1', 'source_level': 435, 'target_conrey_index': 434, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268024549811, 'target_is_minimal': True, 'target_label': '435.3.b.c.434.1', 'target_level': 435, 'twist_class_label': '435.3.b.a.434.1', 'twist_class_level': 435, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 34563331
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 434, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668397179315, 'source_is_minimal': True, 'source_label': '435.3.b.b.434.1', 'source_level': 435, 'target_conrey_index': 434, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867651920307, 'target_is_minimal': True, 'target_label': '435.3.b.d.434.1', 'target_level': 435, 'twist_class_label': '435.3.b.a.434.1', 'twist_class_level': 435, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 3}
  • id: 34563332
    {'conductor': 29, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 434, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668397179315, 'source_is_minimal': True, 'source_label': '435.3.b.b.434.1', 'source_level': 435, 'target_conrey_index': 434, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867651920307, 'target_is_minimal': True, 'target_label': '435.3.b.d.434.1', 'target_level': 435, 'twist_class_label': '435.3.b.a.434.1', 'twist_class_level': 435, 'twisting_char_label': '29.28', 'twisting_conrey_index': 28, 'weight': 3}
  • id: 34563333
    {'conductor': 87, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 434, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668397179315, 'source_is_minimal': True, 'source_label': '435.3.b.b.434.1', 'source_level': 435, 'target_conrey_index': 434, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268024549811, 'target_is_minimal': True, 'target_label': '435.3.b.c.434.1', 'target_level': 435, 'twist_class_label': '435.3.b.a.434.1', 'twist_class_level': 435, 'twisting_char_label': '87.86', 'twisting_conrey_index': 86, 'weight': 3}
  • id: 34563334
    {'conductor': 145, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 434, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668397179315, 'source_is_minimal': True, 'source_label': '435.3.b.b.434.1', 'source_level': 435, 'target_conrey_index': 434, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68769808819, 'target_is_minimal': True, 'target_label': '435.3.b.a.434.1', 'target_level': 435, 'twist_class_label': '435.3.b.a.434.1', 'twist_class_level': 435, 'twisting_char_label': '145.144', 'twisting_conrey_index': 144, 'weight': 3}
  • id: 34563335
    {'conductor': 435, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 434, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668397179315, 'source_is_minimal': True, 'source_label': '435.3.b.b.434.1', 'source_level': 435, 'target_conrey_index': 434, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503668397179315, 'target_is_minimal': True, 'target_label': '435.3.b.b.434.1', 'target_level': 435, 'twist_class_label': '435.3.b.a.434.1', 'twist_class_level': 435, 'twisting_char_label': '435.434', 'twisting_conrey_index': 434, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 883600
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 2}
  • id: 883601
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 3}
  • id: 883602
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 5}
  • id: 883603
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 7}
  • id: 883604
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 11}
  • id: 883605
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 13}
  • id: 883606
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 17}
  • id: 883607
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 19}
  • id: 883608
    {'charpoly_factorization': [[[41, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 23}
  • id: 883609
    {'charpoly_factorization': [[[-29, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 29}
  • id: 883610
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 31}
  • id: 883611
    {'charpoly_factorization': [[[-71, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 37}
  • id: 883612
    {'charpoly_factorization': [[[53, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 41}
  • id: 883613
    {'charpoly_factorization': [[[-59, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 43}
  • id: 883614
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 47}
  • id: 883615
    {'charpoly_factorization': [[[-19, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 53}
  • id: 883616
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 59}
  • id: 883617
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 61}
  • id: 883618
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 67}
  • id: 883619
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 71}
  • id: 883620
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 73}
  • id: 883621
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 79}
  • id: 883622
    {'charpoly_factorization': [[[-79, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 83}
  • id: 883623
    {'charpoly_factorization': [[[62, 1], 1]], 'hecke_orbit_code': 4503668397179315, 'p': 89}
  • id: 883624
    {'charpoly_factorization': [[[49, 1], 1]], 'hecke_orbit_code': 4503668397179315, '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': 2, 'label': '435.3.b.b', 'level': 435, 'portrait': 'data:image/png;base64,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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 20512524
    {'hecke_orbit_code': 4503668397179315, 'n': 1, 'trace_an': 1}
  • id: 20512525
    {'hecke_orbit_code': 4503668397179315, 'n': 2, 'trace_an': 0}
  • id: 20512526
    {'hecke_orbit_code': 4503668397179315, 'n': 3, 'trace_an': -3}
  • id: 20512527
    {'hecke_orbit_code': 4503668397179315, 'n': 4, 'trace_an': 4}
  • id: 20512528
    {'hecke_orbit_code': 4503668397179315, 'n': 5, 'trace_an': 5}
  • id: 20512529
    {'hecke_orbit_code': 4503668397179315, 'n': 6, 'trace_an': 0}
  • id: 20512530
    {'hecke_orbit_code': 4503668397179315, 'n': 7, 'trace_an': 0}
  • id: 20512531
    {'hecke_orbit_code': 4503668397179315, 'n': 8, 'trace_an': 0}
  • id: 20512532
    {'hecke_orbit_code': 4503668397179315, 'n': 9, 'trace_an': 9}
  • id: 20512533
    {'hecke_orbit_code': 4503668397179315, 'n': 10, 'trace_an': 0}
  • id: 20512534
    {'hecke_orbit_code': 4503668397179315, 'n': 11, 'trace_an': 7}
  • id: 20512535
    {'hecke_orbit_code': 4503668397179315, 'n': 12, 'trace_an': -12}
  • id: 20512536
    {'hecke_orbit_code': 4503668397179315, 'n': 13, 'trace_an': 0}
  • id: 20512537
    {'hecke_orbit_code': 4503668397179315, 'n': 14, 'trace_an': 0}
  • id: 20512538
    {'hecke_orbit_code': 4503668397179315, 'n': 15, 'trace_an': -15}
  • id: 20512539
    {'hecke_orbit_code': 4503668397179315, 'n': 16, 'trace_an': 16}
  • id: 20512540
    {'hecke_orbit_code': 4503668397179315, 'n': 17, 'trace_an': 0}
  • id: 20512541
    {'hecke_orbit_code': 4503668397179315, 'n': 18, 'trace_an': 0}
  • id: 20512542
    {'hecke_orbit_code': 4503668397179315, 'n': 19, 'trace_an': 0}
  • id: 20512543
    {'hecke_orbit_code': 4503668397179315, 'n': 20, 'trace_an': 20}
  • id: 20512544
    {'hecke_orbit_code': 4503668397179315, 'n': 21, 'trace_an': 0}
  • id: 20512545
    {'hecke_orbit_code': 4503668397179315, 'n': 22, 'trace_an': 0}
  • id: 20512546
    {'hecke_orbit_code': 4503668397179315, 'n': 23, 'trace_an': -41}
  • id: 20512547
    {'hecke_orbit_code': 4503668397179315, 'n': 24, 'trace_an': 0}
  • id: 20512548
    {'hecke_orbit_code': 4503668397179315, 'n': 25, 'trace_an': 25}
  • id: 20512549
    {'hecke_orbit_code': 4503668397179315, 'n': 26, 'trace_an': 0}
  • id: 20512550
    {'hecke_orbit_code': 4503668397179315, 'n': 27, 'trace_an': -27}
  • id: 20512551
    {'hecke_orbit_code': 4503668397179315, 'n': 28, 'trace_an': 0}
  • id: 20512552
    {'hecke_orbit_code': 4503668397179315, 'n': 29, 'trace_an': 29}
  • id: 20512553
    {'hecke_orbit_code': 4503668397179315, 'n': 30, 'trace_an': 0}
  • id: 20512554
    {'hecke_orbit_code': 4503668397179315, 'n': 31, 'trace_an': 0}
  • id: 20512555
    {'hecke_orbit_code': 4503668397179315, 'n': 32, 'trace_an': 0}
  • id: 20512556
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  • id: 20512557
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  • id: 20512559
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  • id: 20512560
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  • id: 20512561
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  • id: 20512562
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  • id: 20512563
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  • id: 20512564
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  • id: 20512565
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  • id: 20512566
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  • id: 20512567
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  • id: 20512568
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  • id: 20512569
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  • id: 20512570
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  • id: 20512571
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  • id: 20512572
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  • id: 20512573
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  • id: 20512574
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  • id: 20512575
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  • id: 20512576
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  • id: 20512577
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  • id: 20512578
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  • id: 20512579
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  • id: 20512580
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  • id: 20512581
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  • id: 20512582
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  • id: 20512583
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  • id: 20512588
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  • id: 20512591
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  • id: 20512592
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  • id: 20512597
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  • id: 20512598
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  • id: 20512599
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  • id: 20512600
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  • id: 20512601
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  • id: 20512602
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  • id: 20512604
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  • id: 20512606
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  • id: 20512607
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  • id: 20512608
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  • id: 20512610
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  • id: 20512611
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  • id: 20512612
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  • id: 20512613
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  • id: 20512616
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  • id: 20512619
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  • id: 20512620
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  • id: 20512621
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  • id: 20512622
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  • id: 20512623
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  • id: 20512624
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  • id: 20512625
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  • id: 20512626
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  • id: 20512627
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  • id: 20512628
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  • id: 20512629
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  • id: 20512630
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  • id: 20512631
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  • id: 20512632
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  • id: 20512633
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  • id: 20512634
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  • id: 20512635
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  • id: 20512636
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  • id: 20512637
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  • id: 20512638
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  • id: 20512639
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  • id: 20512640
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  • id: 20512641
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  • id: 20512642
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  • id: 20512643
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  • id: 20512644
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  • id: 20512645
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  • id: 20512646
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  • id: 20512647
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  • id: 20512648
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  • id: 20512649
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  • id: 20512650
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  • id: 20512651
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  • id: 20512652
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  • id: 20512654
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  • id: 20512655
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  • id: 20512656
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  • id: 20512657
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  • id: 20512658
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  • id: 20512659
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  • id: 20512660
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  • id: 20512661
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  • id: 20512662
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  • id: 20512663
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  • id: 20512664
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  • id: 20512665
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  • id: 20512666
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  • id: 20512667
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  • id: 20512668
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  • id: 20512669
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  • id: 20512670
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  • id: 20512671
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  • id: 20512672
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  • id: 20512673
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  • id: 20512674
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  • id: 20512675
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  • id: 20512676
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  • id: 20512677
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  • id: 20512678
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  • id: 20512679
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  • id: 20512680
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  • id: 20512682
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  • id: 20512684
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  • id: 20512686
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  • id: 20512688
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  • id: 20512689
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  • id: 20512690
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  • id: 20512691
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  • id: 20512692
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  • id: 20512693
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  • id: 20512694
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  • id: 20512695
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  • id: 20512696
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  • id: 20512697
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  • id: 20512699
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  • id: 20512700
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  • id: 20512701
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  • id: 20512702
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  • id: 20512703
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  • id: 20512705
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  • id: 20512706
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  • id: 20512707
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  • id: 20512708
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  • id: 20512709
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  • id: 20512710
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  • id: 20512711
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  • id: 20512712
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  • id: 20512713
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  • id: 20512714
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  • id: 20512715
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  • id: 20512716
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  • id: 20512717
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  • id: 20512718
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  • id: 20512719
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  • id: 20512720
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  • id: 20512721
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  • id: 20512722
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  • id: 20512723
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  • id: 20512724
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  • id: 20512725
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  • id: 20512726
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  • id: 20512727
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  • id: 20512728
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  • id: 20512729
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  • id: 20512730
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  • id: 20512731
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  • id: 20512757
    {'hecke_orbit_code': 4503668397179315, 'n': 839, 'trace_an': 178}
  • id: 20512758
    {'hecke_orbit_code': 4503668397179315, 'n': 841, 'trace_an': 841}
  • id: 20512759
    {'hecke_orbit_code': 4503668397179315, 'n': 853, 'trace_an': -1561}
  • id: 20512760
    {'hecke_orbit_code': 4503668397179315, 'n': 857, 'trace_an': 931}
  • id: 20512761
    {'hecke_orbit_code': 4503668397179315, 'n': 859, 'trace_an': 0}
  • id: 20512762
    {'hecke_orbit_code': 4503668397179315, 'n': 863, 'trace_an': -1406}
  • id: 20512763
    {'hecke_orbit_code': 4503668397179315, 'n': 877, 'trace_an': 0}
  • id: 20512764
    {'hecke_orbit_code': 4503668397179315, 'n': 881, 'trace_an': 1747}
  • id: 20512765
    {'hecke_orbit_code': 4503668397179315, 'n': 883, 'trace_an': 0}
  • id: 20512766
    {'hecke_orbit_code': 4503668397179315, 'n': 887, 'trace_an': 0}
  • id: 20512767
    {'hecke_orbit_code': 4503668397179315, 'n': 907, 'trace_an': 1811}
  • id: 20512768
    {'hecke_orbit_code': 4503668397179315, 'n': 911, 'trace_an': 1687}
  • id: 20512769
    {'hecke_orbit_code': 4503668397179315, 'n': 919, 'trace_an': 98}
  • id: 20512770
    {'hecke_orbit_code': 4503668397179315, 'n': 929, 'trace_an': 0}
  • id: 20512771
    {'hecke_orbit_code': 4503668397179315, 'n': 937, 'trace_an': 0}
  • id: 20512772
    {'hecke_orbit_code': 4503668397179315, 'n': 941, 'trace_an': 0}
  • id: 20512773
    {'hecke_orbit_code': 4503668397179315, 'n': 947, 'trace_an': 0}
  • id: 20512774
    {'hecke_orbit_code': 4503668397179315, 'n': 953, 'trace_an': 514}
  • id: 20512775
    {'hecke_orbit_code': 4503668397179315, 'n': 961, 'trace_an': 961}
  • id: 20512776
    {'hecke_orbit_code': 4503668397179315, 'n': 967, 'trace_an': 1691}
  • id: 20512777
    {'hecke_orbit_code': 4503668397179315, 'n': 971, 'trace_an': 1567}
  • id: 20512778
    {'hecke_orbit_code': 4503668397179315, 'n': 977, 'trace_an': 1171}
  • id: 20512779
    {'hecke_orbit_code': 4503668397179315, 'n': 983, 'trace_an': 0}
  • id: 20512780
    {'hecke_orbit_code': 4503668397179315, 'n': 991, 'trace_an': -1933}
  • id: 20512781
    {'hecke_orbit_code': 4503668397179315, 'n': 997, 'trace_an': 1631}