Embedded newform data - 3174.2.a.i.1.2

Formats: - HTML - YAML - JSON - 2026-06-09T17:40:53.063592

• 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': 12696, 'analytic_conductor': 25.344517601554394, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [23, -1]], 'atkin_lehner_string': '++-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3174, 1, [2117, 1063], [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': 1, 'hecke_cutters': [[5, [-8, 0, 1]], [7, [-8, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052521574, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 23, 2, -1, 2, 0]], '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': True, 'label': '3174.2.a.i', 'level': 3174, '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, 23], 'level_radical': 138, 'minimal_twist': '3174.2.a.i', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}-q^{3}+q^{4}+\\beta q^{5}+q^{6}-\\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': '3174.2.a', 'trace_display': [-2, -2, 0, 0], 'trace_hash': 1317288948505690960, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.050', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.881', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.626', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.547', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6.514', 'prec': 17}, {'__RealLiteral__': 0, 'data': '140.020', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.519', 'prec': 17}, 'traces': [2, -2, -2, 2, 0, 2, 0, -2, 2, 0, 0, -2, 12, 0, 0, 2, 0, -2, 0, 0, 0, 0, 0, 2, 6, -12, -2, 0, 4, 0, 16, -2, 0, 0, -16, 2, 0, 0, -12, 0, -12, 0, 0, 0, 0, 0, 16, -2, 2, -6, 0, 12, 0, 2, -32, 0, 0, -4, 8, 0, 0, -16, 0, 2, 0, 0, 0, 0, 0, 16, 16, -2, 12, 0, -6, 0, 32, 12, 0, 0, 2, 12, 0, 0, -16, 0, -4, 0, 0, 0, 0, 0, -16, -16, -48, 2, 0, -2, 0, 6, -20, 0, 0, -12, 16, 0, 0, -2, 0, 32, 0, 0, 0, 0, 0, 4, 12, -8, 16, 0, 42, 0, 12, 16, 0, 0, 0, -2, 0, 0, 8, 0, 48, 0, 0, 0, 0, 0, 24, -16, -16, -16, 0, 2, 0, -12, -2, 0, 0, 6, 0, 0, 0, -32, 0, -12, 0, 0, 0, 0, 0, -2, -8, -12, 32, 0, -48, 0, 46, 16, 0, 0, -28, 4, 0, 0, -8, 0, 8, 0, 0, 0, 0, 0, 0, 16, 32, 16, 0, 48, 0, -2, -20, 0, 0, 2, -12, 0, 0, -6, 0, 20, 0, 0, 0, 0, 0, 12, 96, -16, 40, 0, -16, 0, 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0, -48, -32, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 52, -12, 4, -32, 0, -32, 0, 104, -6, 0, 0, 48, 46, 0, 0, 168, 0, -16, 0, 0, 0, 0, 0, 32, -32, 576, 0, 0, 16, 0, 4, 16, 0, 0, -32, 20, 0, 0, -96, 0, 24, 0, 0, 0, 0, 0, 74, 64, 80, 76, 0, 240, 0, 0, -28, 0, 0, -132, -64, 0, 0, 92, 0, -96, 0, 0, 0, 0, 0, -128, -124, 56, 8, 0, -60, 0, -28, -96, 0, 0, 32, 64, 0, 0, -24, 0, 64, 0, 0, 0, 0, 0, 4, -80, 144, -36, 0, -180, 0, -128, -52, 0, 0, 96, 12, 0, 0, 48, 0, -36, 0, 0, 0, 0, 0, 80, 12, 38, -144, 0, 0, 0, -48, -64, 0, 0, -92, 8, 0, 0, 32, 0, 68, 0, 0, 0, 0, 0, -112, -48, -8, -44, 0, -16, 0, -180, -32, 0, 0, 88, -4, 0, 0, -144, 0, -72, 0, 0, 0, 0, 0, 36, -120, -16, 16, 0, 4, 0, -192, -156, 0, 0, 8, 32, 0, 0, -16, 0, -96, 0, 0, 0, 0, 0, 0, 80, 48, 176, 0, 48, 0, -66, 48, 0, 0, 64, -106, 0, 0, 8, 0, -192, 0, 0, 0, 0, 0, -96, 12, 32, -136, 0, 42, 0, 140, 48, 0, 0, 32, -96, 0, 0, -128, 0, 2, 0, 0, 0, 0, 0, -16, 0, -16, 36, 0, -80, 0, -40, 144, 0, 0, -160, 8, 0, 0, 32, 0, -24, 0, 0, 0, 0, 0, -384, -72, 160, -96, 0, -24, 0, 12, 172, 0, 0, 24, -100, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 48, 52, -32, -104, 0, -80, 0, 48, 16, 0, 0, -40, 16, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -100, 32, -72, -40, 0, 32, 0, -120, -96, 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], [-0.7071067811865476, 0.0], [-0.5773502691896257, 0.0], [0.5, 0.0], [1.2649110640673518, 0.0], [0.408248290463863, 0.0], [-1.0690449676496976, 0.0], [-0.3535533905932738, 0.0], [0.3333333333333333, 0.0], [-0.8944271909999159, 0.0], [-1.7056057308448835, 0.0], [-0.28867513459481287, 0.0], [1.6641005886756874, 0.0], [0.7559289460184545, 0.0], [-0.7302967433402214, 0.0], [0.25, 0.0], [-0.6859943405700354, 0.0], [-0.23570226039551584, 0.0], [-1.9466570535691505, 0.0], [0.6324555320336759, 0.0], [0.6172133998483676, 0.0], [1.2060453783110545, 0.0], [0.0, 0.0], [0.2041241452319315, 0.0], [0.6, 0.0], [-1.1766968108291043, 0.0], [-0.19245008972987526, 0.0], [-0.5345224838248488, 0.0], [0.3713906763541037, 0.0], [0.5163977794943223, 0.0], [1.4368424162141993, 0.0], [-0.1767766952966369, 0.0], [0.9847319278346619, 0.0], [0.48507125007266594, 0.0], [-1.3522468075656264, 0.0], [0.16666666666666666, 0.0], [0.0, 0.0], [1.3764944032233706, 0.0], [-0.9607689228305228, 0.0], [-0.4472135954999579, 0.0], [-0.9370425713316364, 0.0], [-0.4364357804719848, 0.0], [0.43133109281375365, 0.0], [-0.8528028654224418, 0.0], [0.4216370213557839, 0.0], [0.0, 0.0], [1.1669199319831565, 0.0], [-0.14433756729740643, 0.0], [0.14285714285714285, 0.0], [-0.4242640687119285, 0.0], [0.3960590171906697, 0.0], [0.8320502943378437, 0.0], [1.165543034828717, 0.0], [0.13608276348795434, 0.0], [-2.157439559882375, 0.0], [0.37796447300922725, 0.0], [1.1239029738980328, 0.0], [-0.2626128657194451, 0.0], [0.5207556439232954, 0.0], [-0.3651483716701107, 0.0], [0.0, 0.0], [-1.016001016001524, 0.0], [-0.3563483225498992, 0.0], [0.125, 0.0], [2.10493924633687, 0.0], [-0.6963106238227914, 0.0], [1.0366421106976322, 0.0], [-0.3429971702850177, 0.0], [0.0, 0.0], [0.9561828874675149, 0.0], [0.9494253265550827, 0.0], [-0.11785113019775792, 0.0], [0.7022468831767834, 0.0], [0.0, 0.0], [-0.34641016151377546, 0.0], [-0.9733285267845753, 0.0], [1.8233692233542071, 0.0], [0.6793662204867574, 0.0], [0.31822291367029204, 0.0], [0.31622776601683794, 0.0], [0.1111111111111111, 0.0], [0.6625891564490792, 0.0], [0.6209204205650662, 0.0], [0.3086066999241838, 0.0], [-0.8677218312746247, 0.0], [-0.30499714066520933, 0.0], [-0.21442250696755896, 0.0], [0.6030226891555273, 0.0], [0.29981267559834457, 0.0], [-0.29814239699997197, 0.0], [-1.7789983599866428, 0.0], [0.0, 0.0], [-0.8295613557843402, 0.0], [-0.8251369970070347, 0.0], [-2.46234804500437, 0.0], [0.10206207261596575, 0.0], [0.5743665268941905, 0.0], [-0.10101525445522108, 0.0], [-0.5685352436149611, 0.0], [0.3, 0.0]], 'angles': [None, None, -0.14102355421224375, -0.339754258992844, -0.4125495719297393, -0.09358352090549941, -0.3057210651366738, -0.4631592333102643, None, -0.2202731255008241, -0.122432539381627, -0.25, -0.32760653536000656, -0.21540395453201383, -0.15084925550907735, -0.1509841293078164, -0.2080764390627594, -0.25, -0.1632786154239767, -0.17127599107372865, -0.19289987439004594, -0.22456853951876232, -0.19975842477838723, -0.2260513923943133, -0.20364056380184084, -0.33287768587526073, -0.31864137258385405, -0.2940798183151501, -0.09898678226402559, -0.3153411276764724, -0.25, -0.22204562420357685, -0.14676195887087823, -0.16502367742880467, -0.23151930120558695, -0.25, -0.25, -0.2750350684430989, -0.43948819537758405, -0.3393173073131699, -0.22611888968768726, -0.28371151022761243, -0.2828040776693346, -0.30859594012426833, -0.28428245505979816, -0.07095405577732126, -0.12915047005117408, -0.29315820223170536, -0.31125738935773883, -0.15526159732902758, -0.28148471573097256, -0.20834660603955663, -0.06766543298751784, -0.19189001383538545, -0.32191723699584746, -0.16236439254985344, -0.15755390840534314, -0.25, -0.20143643293856572, -0.1127746312589949, -0.14986645290092004, -0.38343524711230675, -0.10267546979705923, -0.13089052852337593, -0.04560122325995961, -0.16565580831202625, -0.34261940257303414, -0.3264739706522315, -0.19780615952364755, -0.12750858792101957, -0.42999687876256926, -0.2261524250107441, -0.18983183921375074, -0.34961011402467607, -0.23842827162157393, -0.2269171538502443, -0.2614217638963014, -0.32459060354310976, -0.30743831777755437, -0.1937481905417545, -0.12860976278923517, -0.3710289295047672, -0.29392210871236923, -0.20618209493299877, -0.34705758324629554, -0.23485378893005376, -0.24248622300995423, -0.1850386995416259, -0.3731010080851957, -0.11656239324268879, -0.33769371999617215, -0.16353615611498493, -0.2790083406681348, -0.400900201814415, -0.3238715158451915, -0.3341529717774393, -0.18469290556324158, -0.24013278663545626, -0.17874962776317255, -0.21551783620363943], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 1.4142135623730951, 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052521574, 'label': '3174.2.a.i.1.2', 'level': 3174, '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': [7, 14, 11, 10, 13, 8, 5, 15], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [11, 12, 12, 12, 12, 12, 12, 12], 'ALdims_old': [48, 58, 55, 50, 53, 52, 61, 45], 'Nk2': 12696, 'analytic_conductor': 25.344517601554394, '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': [3174, 1, [2117, 1063], [1, 1]], 'conrey_index': 1, 'cusp_dim': 505, 'dim': 83, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 33557606, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5], 'label': '3174.2.a', 'level': 3174, '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, 23], 'level_radical': 138, 'mf_dim': 600, 'mf_new_dim': 83, 'num_forms': 30, 'plus_dim': 30, 'prim_orbit_index': 1, 'relative_dim': 83, 'sturm_bound': 1104, 'trace_bound': 25, 'trace_display': [-1, -1, 2, 0], 'traces': [83, -1, -1, 83, 2, -1, 0, -1, 83, -2, 12, -1, 2, 0, 2, 83, 6, -1, 8, 2, -4, 0, 0, -1, 93, 2, -1, 0, 10, 6, 8, -1, 0, 6, 24, 83, -10, 12, -6, -2, -2, 4, 16, 12, 2, 0, 0, -1, 83, 1, 10, 2, -22, -1, 0, 0, -8, 2, 12, 2, -2, 16, 0, 83, -20, 12, -16, 6, 0, 32, 16, -1, 22, -30, 1, 8, -32, 10, 8, 2, 83, 6, -20, -4, 4, -4, 10, 0, -18, -2, 32, 0, 0, -16, -8, -1, 14, -25, 12, 93, 50, 10, -24, 2, 32, 6, -28, -1, -2, 24, -6, 0, 22, -4, 0, 10, 2, 12, 16, 6, 87, -14, 38, 8, 12, 0, 0, -1, 8, -12, 68, 0, 72, -12, 2, 6, -34, 0, 20, 24, 0, 8, 8, 83, 36, 6, -25, -10, 26, 1, 24, 12, 6, 0, 56, -6, -26, -24, -14, -2, 0, -1, 20, -2, 16, 8, 24, 4, 125, -12, 8, 16, 34, -6, -32, 12, -20, 6, 4, 2, -2, 48, 10, 0, 20, -24, 0, 0, -4, 0, -16, -1, -10, -18, -20, 83, -6, 0, -16, 1, -24, 2, -16, 10, -4, 32, 0, 2, 48, 16, 20, -22, 8, 0, -48, -1, -16, -30, -10, 0, 4, -26, -16, 0, 93, 30, 20, -8, -18, 0, 0, 2, 22, 2, -24, 12, 12, 16, 56, 2, 30, 27, -1, -2, 34, -2, -80, 16, -24, 36, 36, 0, 0, 8, -4, 83, 6, 36, 64, -20, 10, 28, -56, 12, 20, 64, 18, -16, 50, 6, 0, 6, 40, -34, -20, 0, 26, 76, 8, 32, 30, 16, -8, 16, -40, 32, 32, -1, 153, 12, 22, 22, 10, -25, 24, -30, 0, -10, 0, 1, 16, 16, 2, 8, 52, 6, 68, -32, 20, 24, 72, 10, 6, 34, 24, 8, -46, 6, 16, 2, 16, 0, 40, 83, 86, 12, -30, 6, -16, -8, 12, -20, -10, -16, -24, -4, 54, -7, -6, 4, 40, 12, 0, -4, 0, -22, -4, 10, 26, -48, -6, 0, -26, 28, -40, -18, 8, -4, -56, -2, 63, 18, 27, 32, 12, -18, 56, 0, -2, 20, 32, 0, 46, -16, 12, -16, 100, 4, -24, -8, 48, -40, -64, -1, -16, 46, 16, 14, -30, -28, 0, -25, 36, 18, -24, 12, -406, -32, -280, 93, 22, 28, -272, 50, 2, -64, 88, 10, -234, -44, -38, -24, -128, 0, 112, 2, -348, 32, 28, 32, 30, 84, 0, 6, 10, 8, -312, -28, 32, 0, 32, -1, 14, -64, 4, -2, 0, 6, -344, 24, 83, 4, 20, -6, 20, -32, -6, 0, 62, 1, 48, 22, -320, 24, 0, -4, -74, -14, 10, 0, 18, -24, 32, 10, -8, 46, 52, 2, -304, 8, -38, 12, -48, 4, 64, 16, -22, -32, 16, 6, 4, 46, 0, 87, -20, -1, -288, -14, -20, 46, 44, 38, 4, -72, 0, 8, 80, -52, 108, 12, 32, 0, 56, 0, 4, 0, -359, 0, 82, 4, -64, -1, -8, -26, 64, 8, -24, 16, 18, -12, -50, 2, 0, 68, -28, -24, 32, 0, 0, -508, 12, 72, -420, 42, 120, -12, -12, -438, 60, 2, -30, 88, 34, 6, -484, 40, 44, -34, -2, -8, 56, 0, -240, -430, 28, 20, 18, 16, -32, 24, -16, 38, 28, 0, -516, 20, 0, 8, -66, -40, -16, 8, 32, -32, 0, 83, 94, -507, -354, 36, 96, 14, 96, 6, -20, 22, 52, -25, 8, 72, 26, -10, -490, 12, -80, 26, 20, 0, 80, 1, -58, 64, -16, 24, 18, -30, -240, 12, -40, -492, 72, 6, -34, -12, -4, 0, 30, 20, 0, 56, 0, 48, -16, -6, 183, -90, 40, -26, -404, 32, -24, -24, 28, -22, -16, -14, -302, -56, 16, -2, 6, -12, -40, 0, 40, 32, 0, -1, -112, -474, -48, 20, 106, 6, -40, -2, 22, 16, -76, 16, -82, 68, -4, 8, -80, -30, 0, 24, -288, 0, 88, 4, -482, 14, 1, 125, 42, 34, 88, -12, -16, -56, 36, 8, 60, 0, -78, 16, -36, 0, -36, 34, -32, -4, 88, -6, -36, -438, 6, -32, -6, 10, -288, 12, 40, 38, 64, -20, -34, -40, 8, 6, 0, 8, 112, 4, 24, 64, 128, 2, 80, -109, -26, -2, -498, -37, -32, 48, 83, 52, 0, 10, 46, 8, 18, 0, 24, 6, -172, 20, -48, 64, 40, -24, 20, -38, -20, 0, -24, -12, 80, 0, 40, -476, -56, -4, 102, 28, 0, 0, 6, 8, 0, -16, 4, -32, 96, -1, -18, -64, 30, -10, 98, -4, 16, -18, -288, 6, 88, -20, 40, 0, 10, 83, -292, 20, 16, -6, -32, 0, 88, 0, 52, -30, -4, -16, -30, 72, 16, 1, -18, 6, -80, -24, 0, 48, 90, 2, 54, -2, 28, -16, 24, 112, 8, 10, -272, -466, 32, -4, 34, 10, 192, 32, -8, -32, -12, 0, 10, 56, 58, 2, 118, 20, -8, 48, 0, -24, 136, 16, 197, 42, 66, 20, 14, -16, 192, -22, 88, 10, 0, 8, -366, 0, -8, 0, 134, 8, -252, -48, -8, 56, 8, -1, -12, 62, 13, -16, 56, 28, -96, -30, 14, 0, 72, -10, 26, -8, -62, 0, -10, -25, 4, 4, 56, 164, 160, -26, 32, -492, 12, -16, 72, 30, -104, 0, 0, 94, -48, 93, 116, -72, -296, 30, 84, 72, 8, 20, 50, 8, -128, -8, 216, -90, 44, -18, 48, 10, 32, 0, 12, -94, 24, 0, -46, -48, -24, 2, -378, 24, -24, 22, 80, 64, -16, 2, 126, 152, -42, -24, -190, -42, 0, 12, 32, 80, -28, 12, -236, 44, 26, 16, 46, 6, 48, 56, -56, 64, -56, 2, 147, -36, -28, 30, -12, 0, 112, 27, 16, -508, 92, -1, -96, 112, 78, -2, -90, 28, 16, 34, -2, 20, -104, -2, -108, 4, 16, -80, 0, 24, 192, 16, 4, 80, 72, -24, -302, -36, -6, 36], '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: 46470762
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052521574, 'source_is_minimal': True, 'source_label': '3174.2.a.i.1.2', 'source_level': 3174, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028797052521574, 'target_is_minimal': True, 'target_label': '3174.2.a.i.1.2', 'target_level': 3174, 'twist_class_label': '3174.2.a.i.1.1', 'twist_class_level': 3174, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46470763
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052521574, 'source_is_minimal': True, 'source_label': '3174.2.a.i.1.2', 'source_level': 3174, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 162129586618901810, 'target_is_minimal': False, 'target_label': '9522.2.a.bk.1.1', 'target_level': 9522, 'twist_class_label': '3174.2.a.i.1.1', 'twist_class_level': 3174, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46470764
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052521574, 'source_is_minimal': True, 'source_label': '3174.2.a.i.1.2', 'source_level': 3174, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052521574, 'target_is_minimal': True, 'target_label': '3174.2.a.i.1.1', 'target_level': 3174, 'twist_class_label': '3174.2.a.i.1.1', 'twist_class_level': 3174, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 2}
  • id: 46470765
    {'conductor': 69, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052521574, 'source_is_minimal': True, 'source_label': '3174.2.a.i.1.2', 'source_level': 3174, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 162129586618901810, 'target_is_minimal': False, 'target_label': '9522.2.a.bk.1.2', 'target_level': 9522, 'twist_class_label': '3174.2.a.i.1.1', 'twist_class_level': 3174, 'twisting_char_label': '69.68', 'twisting_conrey_index': 68, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3043175
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 2}
  • id: 3043176
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 3}
  • id: 3043177
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 5}
  • id: 3043178
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 7}
  • id: 3043179
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 11}
  • id: 3043180
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 13}
  • id: 3043181
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 17}
  • id: 3043182
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 19}
  • id: 3043183
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 23}
  • id: 3043184
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 29}
  • id: 3043185
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 31}
  • id: 3043186
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 37}
  • id: 3043187
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 41}
  • id: 3043188
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 43}
  • id: 3043189
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 47}
  • id: 3043190
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 53}
  • id: 3043191
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 59}
  • id: 3043192
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 61}
  • id: 3043193
    {'charpoly_factorization': [[[-72, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 67}
  • id: 3043194
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 71}
  • id: 3043195
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 36028797052521574, 'p': 73}
  • id: 3043196
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 79}
  • id: 3043197
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 83}
  • id: 3043198
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, 'p': 89}
  • id: 3043199
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 36028797052521574, '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': 9, 'label': '3174.2.a.i', 'level': 3174, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 50626027
    {'hecke_orbit_code': 36028797052521574, 'n': 1, 'trace_an': 2}
  • id: 50626028
    {'hecke_orbit_code': 36028797052521574, 'n': 2, 'trace_an': -2}
  • id: 50626029
    {'hecke_orbit_code': 36028797052521574, 'n': 3, 'trace_an': -2}
  • id: 50626030
    {'hecke_orbit_code': 36028797052521574, 'n': 4, 'trace_an': 2}
  • id: 50626031
    {'hecke_orbit_code': 36028797052521574, 'n': 5, 'trace_an': 0}
  • id: 50626032
    {'hecke_orbit_code': 36028797052521574, 'n': 6, 'trace_an': 2}
  • id: 50626033
    {'hecke_orbit_code': 36028797052521574, 'n': 7, 'trace_an': 0}
  • id: 50626034
    {'hecke_orbit_code': 36028797052521574, 'n': 8, 'trace_an': -2}
  • id: 50626035
    {'hecke_orbit_code': 36028797052521574, 'n': 9, 'trace_an': 2}
  • id: 50626036
    {'hecke_orbit_code': 36028797052521574, 'n': 10, 'trace_an': 0}
  • id: 50626037
    {'hecke_orbit_code': 36028797052521574, 'n': 11, 'trace_an': 0}
  • id: 50626038
    {'hecke_orbit_code': 36028797052521574, 'n': 12, 'trace_an': -2}
  • id: 50626039
    {'hecke_orbit_code': 36028797052521574, 'n': 13, 'trace_an': 12}
  • id: 50626040
    {'hecke_orbit_code': 36028797052521574, 'n': 14, 'trace_an': 0}
  • id: 50626041
    {'hecke_orbit_code': 36028797052521574, 'n': 15, 'trace_an': 0}
  • id: 50626042
    {'hecke_orbit_code': 36028797052521574, 'n': 16, 'trace_an': 2}
  • id: 50626043
    {'hecke_orbit_code': 36028797052521574, 'n': 17, 'trace_an': 0}
  • id: 50626044
    {'hecke_orbit_code': 36028797052521574, 'n': 18, 'trace_an': -2}
  • id: 50626045
    {'hecke_orbit_code': 36028797052521574, 'n': 19, 'trace_an': 0}
  • id: 50626046
    {'hecke_orbit_code': 36028797052521574, 'n': 20, 'trace_an': 0}
  • id: 50626047
    {'hecke_orbit_code': 36028797052521574, 'n': 21, 'trace_an': 0}
  • id: 50626048
    {'hecke_orbit_code': 36028797052521574, 'n': 22, 'trace_an': 0}
  • id: 50626049
    {'hecke_orbit_code': 36028797052521574, 'n': 23, 'trace_an': 0}
  • id: 50626050
    {'hecke_orbit_code': 36028797052521574, 'n': 24, 'trace_an': 2}
  • id: 50626051
    {'hecke_orbit_code': 36028797052521574, 'n': 25, 'trace_an': 6}
  • id: 50626052
    {'hecke_orbit_code': 36028797052521574, 'n': 26, 'trace_an': -12}
  • id: 50626053
    {'hecke_orbit_code': 36028797052521574, 'n': 27, 'trace_an': -2}
  • id: 50626054
    {'hecke_orbit_code': 36028797052521574, 'n': 28, 'trace_an': 0}
  • id: 50626055
    {'hecke_orbit_code': 36028797052521574, 'n': 29, 'trace_an': 4}
  • id: 50626056
    {'hecke_orbit_code': 36028797052521574, 'n': 30, 'trace_an': 0}
  • id: 50626057
    {'hecke_orbit_code': 36028797052521574, 'n': 31, 'trace_an': 16}
  • id: 50626058
    {'hecke_orbit_code': 36028797052521574, 'n': 32, 'trace_an': -2}
  • id: 50626059
    {'hecke_orbit_code': 36028797052521574, 'n': 33, 'trace_an': 0}
  • id: 50626060
    {'hecke_orbit_code': 36028797052521574, 'n': 34, 'trace_an': 0}
  • id: 50626061
    {'hecke_orbit_code': 36028797052521574, 'n': 35, 'trace_an': -16}
  • id: 50626062
    {'hecke_orbit_code': 36028797052521574, 'n': 36, 'trace_an': 2}
  • id: 50626063
    {'hecke_orbit_code': 36028797052521574, 'n': 37, 'trace_an': 0}
  • id: 50626064
    {'hecke_orbit_code': 36028797052521574, 'n': 38, 'trace_an': 0}
  • id: 50626065
    {'hecke_orbit_code': 36028797052521574, 'n': 39, 'trace_an': -12}
  • id: 50626066
    {'hecke_orbit_code': 36028797052521574, 'n': 40, 'trace_an': 0}
  • id: 50626067
    {'hecke_orbit_code': 36028797052521574, 'n': 41, 'trace_an': -12}
  • id: 50626068
    {'hecke_orbit_code': 36028797052521574, 'n': 42, 'trace_an': 0}
  • id: 50626069
    {'hecke_orbit_code': 36028797052521574, 'n': 43, 'trace_an': 0}
  • id: 50626070
    {'hecke_orbit_code': 36028797052521574, 'n': 44, 'trace_an': 0}
  • id: 50626071
    {'hecke_orbit_code': 36028797052521574, 'n': 45, 'trace_an': 0}
  • id: 50626072
    {'hecke_orbit_code': 36028797052521574, 'n': 46, 'trace_an': 0}
  • id: 50626073
    {'hecke_orbit_code': 36028797052521574, 'n': 47, 'trace_an': 16}
  • id: 50626074
    {'hecke_orbit_code': 36028797052521574, 'n': 48, 'trace_an': -2}
  • id: 50626075
    {'hecke_orbit_code': 36028797052521574, 'n': 49, 'trace_an': 2}
  • id: 50626076
    {'hecke_orbit_code': 36028797052521574, 'n': 50, 'trace_an': -6}
  • id: 50626077
    {'hecke_orbit_code': 36028797052521574, 'n': 51, 'trace_an': 0}
  • id: 50626078
    {'hecke_orbit_code': 36028797052521574, 'n': 52, 'trace_an': 12}
  • id: 50626079
    {'hecke_orbit_code': 36028797052521574, 'n': 53, 'trace_an': 0}
  • id: 50626080
    {'hecke_orbit_code': 36028797052521574, 'n': 54, 'trace_an': 2}
  • id: 50626081
    {'hecke_orbit_code': 36028797052521574, 'n': 55, 'trace_an': -32}
  • id: 50626082
    {'hecke_orbit_code': 36028797052521574, 'n': 56, 'trace_an': 0}
  • id: 50626083
    {'hecke_orbit_code': 36028797052521574, 'n': 57, 'trace_an': 0}
  • id: 50626084
    {'hecke_orbit_code': 36028797052521574, 'n': 58, 'trace_an': -4}
  • id: 50626085
    {'hecke_orbit_code': 36028797052521574, 'n': 59, 'trace_an': 8}
  • id: 50626086
    {'hecke_orbit_code': 36028797052521574, 'n': 60, 'trace_an': 0}
  • id: 50626087
    {'hecke_orbit_code': 36028797052521574, 'n': 61, 'trace_an': 0}
  • id: 50626088
    {'hecke_orbit_code': 36028797052521574, 'n': 62, 'trace_an': -16}
  • id: 50626089
    {'hecke_orbit_code': 36028797052521574, 'n': 63, 'trace_an': 0}
  • id: 50626090
    {'hecke_orbit_code': 36028797052521574, 'n': 64, 'trace_an': 2}
  • id: 50626091
    {'hecke_orbit_code': 36028797052521574, 'n': 65, 'trace_an': 0}
  • id: 50626092
    {'hecke_orbit_code': 36028797052521574, 'n': 66, 'trace_an': 0}
  • id: 50626093
    {'hecke_orbit_code': 36028797052521574, 'n': 67, 'trace_an': 0}
  • id: 50626094
    {'hecke_orbit_code': 36028797052521574, 'n': 68, 'trace_an': 0}
  • id: 50626095
    {'hecke_orbit_code': 36028797052521574, 'n': 69, 'trace_an': 0}
  • id: 50626096
    {'hecke_orbit_code': 36028797052521574, 'n': 70, 'trace_an': 16}
  • id: 50626097
    {'hecke_orbit_code': 36028797052521574, 'n': 71, 'trace_an': 16}
  • id: 50626098
    {'hecke_orbit_code': 36028797052521574, 'n': 72, 'trace_an': -2}
  • id: 50626099
    {'hecke_orbit_code': 36028797052521574, 'n': 73, 'trace_an': 12}
  • id: 50626100
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  • id: 50626101
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  • id: 50626102
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  • id: 50626103
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  • id: 50626104
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  • id: 50626105
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  • id: 50626106
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  • id: 50626107
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  • id: 50626108
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  • id: 50626109
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  • id: 50626110
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  • id: 50626111
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  • id: 50626112
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  • id: 50626113
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  • id: 50626114
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  • id: 50626115
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  • id: 50626116
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  • id: 50626117
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  • id: 50626118
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  • id: 50626119
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  • id: 50626120
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  • id: 50626121
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  • id: 50626122
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  • id: 50626123
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  • id: 50626124
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  • id: 50626125
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  • id: 50626126
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  • id: 50626127
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  • id: 50626128
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  • id: 50626129
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  • id: 50626130
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  • id: 50626131
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  • id: 50626132
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  • id: 50626133
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  • id: 50626134
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  • id: 50626135
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  • id: 50626136
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  • id: 50626137
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  • id: 50626138
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  • id: 50626139
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  • id: 50626140
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  • id: 50626141
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  • id: 50626142
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  • id: 50626143
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  • id: 50626144
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  • id: 50626145
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  • id: 50626146
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  • id: 50626147
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  • id: 50626148
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  • id: 50626149
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  • id: 50626150
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  • id: 50626151
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  • id: 50626152
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  • id: 50626153
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  • id: 50626154
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  • id: 50626155
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  • id: 50626156
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  • id: 50626157
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  • id: 50626158
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  • id: 50626159
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  • id: 50626160
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  • id: 50626161
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  • id: 50626162
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  • id: 50626163
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  • id: 50626164
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  • id: 50626165
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  • id: 50626166
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  • id: 50626167
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  • id: 50626168
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  • id: 50626169
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  • id: 50626170
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  • id: 50626171
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  • id: 50626172
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  • id: 50626173
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  • id: 50626174
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  • id: 50626175
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  • id: 50626176
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  • id: 50626177
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  • id: 50626178
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  • id: 50626179
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  • id: 50626180
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  • id: 50626181
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  • id: 50626182
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  • id: 50626183
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  • id: 50626184
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  • id: 50626185
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  • id: 50626186
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  • id: 50626187
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  • id: 50626188
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  • id: 50626189
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  • id: 50626190
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  • id: 50626191
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  • id: 50626192
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  • id: 50626193
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  • id: 50626194
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  • id: 50626195
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  • id: 50626196
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  • id: 50626197
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  • id: 50626198
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  • id: 50626199
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  • id: 50626200
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  • id: 50626201
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  • id: 50626202
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  • id: 50626203
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  • id: 50626204
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  • id: 50626205
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  • id: 50626206
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  • id: 50626207
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  • id: 50626208
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  • id: 50626209
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  • id: 50626210
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  • id: 50626211
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  • id: 50626212
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  • id: 50626213
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  • id: 50626214
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  • id: 50626215
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  • id: 50626216
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  • id: 50626217
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  • id: 50626218
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  • id: 50626219
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  • id: 50626220
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  • id: 50626221
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  • id: 50626222
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  • id: 50626223
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  • id: 50626224
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  • id: 50626225
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  • id: 50626226
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  • id: 50626227
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  • id: 50626228
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  • id: 50626229
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  • id: 50626230
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  • id: 50626231
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  • id: 50626232
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  • id: 50626233
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  • id: 50626234
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  • id: 50626235
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  • id: 50626236
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  • id: 50626237
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  • id: 50626238
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  • id: 50626239
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  • id: 50626240
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  • id: 50626241
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  • id: 50626242
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  • id: 50626243
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  • id: 50626244
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  • id: 50626245
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  • id: 50626246
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  • id: 50626247
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  • id: 50626248
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  • id: 50626249
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  • id: 50626250
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  • id: 50626251
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  • id: 50626252
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  • id: 50626253
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  • id: 50626254
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  • id: 50626255
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  • id: 50626256
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  • id: 50626257
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  • id: 50626258
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  • id: 50626259
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  • id: 50626260
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  • id: 50626261
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  • id: 50626262
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  • id: 50626263
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  • id: 50626264
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  • id: 50626265
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  • id: 50626266
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  • id: 50626267
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  • id: 50626268
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  • id: 50626269
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  • id: 50626270
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  • id: 50626271
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  • id: 50626272
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  • id: 50626273
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  • id: 50626274
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  • id: 50626275
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  • id: 50626276
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  • id: 50626277
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  • id: 50626278
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  • id: 50626279
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  • id: 50626280
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  • id: 50626281
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  • id: 50626282
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  • id: 50626283
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  • id: 50626284
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