Embedded newform data - 4560.2.a.w.1.1

Formats: - HTML - YAML - JSON - 2026-07-12T11:42:17.046556

• 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': 18240, 'analytic_conductor': 36.41178332170386, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, -1], [19, -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': [4560, 1, [1711, 1141, 3041, 2737, 1921], [1, 1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, '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, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [4, 1]], [11, [4, 1]], [13, [-2, 1]], [17, [-2, 1]]], 'hecke_orbit': 23, 'hecke_orbit_code': 99079191835709904, 'hecke_ring_generator_nbound': 1, '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': '4560.2.a.w', 'level': 4560, '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, 5, 19], 'level_radical': 570, 'minimal_twist': '285.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}+q^{5}-4q^{7}+q^{9}-4q^{11}+2q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/4560/w'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4560.2.a', 'trace_display': [0, 1, 1, -4], 'trace_hash': 837783030744650886, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.980', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.947', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.812', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.023', 'prec': 17}, 'traces': [1, 0, 1, 0, 1, 0, -4, 0, 1, 0, -4, 0, 2, 0, 1, 0, 2, 0, 1, 0, -4, 0, 4, 0, 1, 0, 1, 0, -2, 0, 0, 0, -4, 0, -4, 0, -6, 0, 2, 0, -6, 0, -8, 0, 1, 0, 12, 0, 9, 0, 2, 0, -14, 0, -4, 0, 1, 0, -4, 0, 14, 0, -4, 0, 2, 0, 4, 0, 4, 0, 0, 0, -14, 0, 1, 0, 16, 0, -16, 0, 1, 0, 0, 0, 2, 0, -2, 0, -6, 0, -8, 0, 0, 0, 1, 0, -10, 0, -4, 0, -10, 0, -16, 0, -4, 0, -12, 0, -2, 0, -6, 0, -10, 0, 4, 0, 2, 0, -8, 0, 5, 0, -6, 0, 1, 0, 8, 0, -8, 0, -4, 0, -4, 0, 1, 0, -6, 0, 4, 0, 12, 0, -8, 0, -2, 0, 9, 0, 6, 0, 0, 0, 2, 0, 0, 0, -18, 0, -14, 0, -16, 0, 0, 0, -4, 0, 8, 0, -9, 0, 1, 0, -6, 0, -4, 0, -4, 0, -12, 0, 22, 0, 14, 0, -6, 0, -8, 0, -4, 0, 0, 0, 22, 0, 2, 0, 22, 0, 0, 0, 4, 0, 8, 0, -6, 0, 4, 0, -4, 0, -12, 0, 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0, 14, 0, -24, 0, -50, 0, 16, 0, -6, 0, -2, 0, 16, 0, 0, 0, 112, 0, 12, 0, 64, 0, 16, 0, 0, 0, 0, 0, -48, 0, -6, 0, 6, 0, 8, 0, -16, 0, 20, 0, -26, 0, -14, 0, -34, 0, -72, 0, 9, 0, -16, 0, -2, 0, 0, 0, 10, 0, 12, 0, -8, 0, 24, 0, 143, 0, 18, 0, 20, 0, -36, 0, 10, 0, -28, 0, 0, 0, -42, 0, -10, 0, 8, 0, -24, 0, 6, 0, 30, 0, -4, 0, 54, 0, 16, 0, 40, 0, -20, 0, 18, 0, -28, 0, -96, 0, 52, 0, 2, 0, 12, 0, -46, 0, -26, 0, -66, 0, -40, 0, 0, 0, 168, 0, 0, 0, 8, 0, -18, 0, 4, 0, 24, 0, 24, 0, -32, 0, -31, 0, 18, 0, -32, 0, -12, 0, -36, 0, -16, 0, 22, 0, 18, 0, 48, 0, 20, 0, -72, 0, 0, 0, 2, 0, -26, 0, 0, 0, 12, 0, 56, 0, 18, 0, -16, 0, 32, 0, 96, 0, 2, 0, 76, 0, 20, 0, 30, 0, 112, 0, -16, 0, 24, 0, -12, 0, -12, 0, -2, 0, 0, 0, -56, 0, 56, 0, 24, 0, 14, 0, 22, 0, 42, 0, 104, 0, -48, 0, -84, 0, -6, 0, -32, 0, 90, 0, 20, 0, 40, 0, -8, 0, -52, 0, 28, 0, 96, 0, -18, 0, 0, 0, 32, 0, 126, 0, -26, 0, 84, 0, 0, 0, -6, 0, 24, 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], [0.5773502691896257, 0.0], [0.0, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [-1.511857892036909, 0.0], [0.0, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [-1.2060453783110545, 0.0], [0.0, 0.0], [0.5547001962252291, 0.0], [0.0, 0.0], [0.25819888974716115, 0.0], [0.0, 0.0], [0.48507125007266594, 0.0], [0.0, 0.0], [0.22941573387056177, 0.0], [0.0, 0.0], [-0.8728715609439696, 0.0], [0.0, 0.0], [0.8340576562282991, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [0.19245008972987526, 0.0], [0.0, 0.0], [-0.3713906763541037, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6963106238227914, 0.0], [0.0, 0.0], [-0.6761234037828132, 0.0], [0.0, 0.0], [-0.9863939238321437, 0.0], [0.0, 0.0], [0.32025630761017426, 0.0], [0.0, 0.0], [-0.9370425713316364, 0.0], [0.0, 0.0], [-1.2199885626608373, 0.0], [0.0, 0.0], [0.14907119849998599, 0.0], [0.0, 0.0], [1.7503798979747347, 0.0], [0.0, 0.0], [1.2857142857142858, 0.0], [0.0, 0.0], [0.28005601680560194, 0.0], [0.0, 0.0], [-1.9230478952816463, 0.0], [0.0, 0.0], [-0.5393598899705937, 0.0], [0.0, 0.0], [0.13245323570650439, 0.0], [0.0, 0.0], [-0.5207556439232954, 0.0], [0.0, 0.0], [1.7925163190605435, 0.0], [0.0, 0.0], [-0.5039526306789697, 0.0], [0.0, 0.0], [0.2480694691784169, 0.0], [0.0, 0.0], [0.4886777774252209, 0.0], [0.0, 0.0], [0.4815434123430768, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.638576060745828, 0.0], [0.0, 0.0], [0.11547005383792515, 0.0], [0.0, 0.0], [1.8233692233542071, 0.0], [0.0, 0.0], [-1.8001406414816383, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.21693045781865616, 0.0], [0.0, 0.0], [-0.21442250696755896, 0.0], [0.0, 0.0], [-0.635998728003816, 0.0], [0.0, 0.0], [-0.8386278693775346, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.10259783520851541, 0.0], [0.0, 0.0], [-1.015346165133619, 0.0], [0.0, 0.0], [-0.40201512610368484, 0.0], [0.0, 0.0]], 'angles': [None, None, None, -0.3864072370857475, -0.3530185831501773, -0.2052719062444833, -0.21101043481131534, None, -0.181535703932002, -0.27972687449917594, -0.25, -0.33208590579828445, -0.32760653536000656, -0.3544141374138193, -0.08036815554979418, -0.45570723360854765, -0.2919235609372406, -0.0731375096991247, -0.21071453476893873, -0.25, -0.40281551733883136, -0.4282425336781072, -0.25, -0.30150549434443674, -0.33474710796167445, -0.33287768587526073, -0.3945097791755039, -0.3484819145929012, -0.2652676848462628, -0.3279380434444061, -0.1922502035000134, -0.2779543757964231, -0.29125295130238293, -0.22287011155447098, -0.21047967267302478, -0.25, -0.3775347429765604, -0.25, -0.19991426166617052, -0.2866233320887496, -0.32401386020071266, -0.09764553951348365, -0.25, -0.10457279713196181, -0.10666049335176629, -0.25, -0.31776949486615996, -0.10146309512422147, -0.1848116033212517, -0.41447686379356924, -0.1496408072197923, -0.10856843928141019, -0.375330197924895, -0.42246821589217803, -0.25993426215277043, -0.23032207425245335, -0.3956427999199236, -0.37999522451398876, -0.13508186416484466, -0.20179437601038522, -0.1711244219219368, -0.24069677188133484, -0.19437365189118141, -0.25, -0.2043987767400404, -0.24105626133294106, -0.1102503577285454, -0.14774108648195738, -0.4144335993208852, -0.1016362008241291, -0.31076208890411905, -0.21614577256247713, -0.16259383893272927, -0.07869523815005654, -0.2663793787853585, -0.40233739163018917, -0.2256972380086931, -0.25799111481068715, -0.27393355875030434, -0.2102391668627063, -0.3698685406040656, -0.19459025006988975, -0.39004486063166427, -0.22697426395854195, -0.28057186452725913, -0.4495753752624097, -0.27260892280991394, -0.2124271970549565, -0.1268989919148043, -0.2351855014361775, -0.22036988413620082, -0.19044399389982009, -0.2790083406681348, -0.29364016957437095, -0.3238715158451915, -0.17644576606661302, -0.3153070944367584, -0.36412161958350187, -0.23606347699896768, -0.1384494277505211], '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': 0.0, 'hecke_orbit': 23, 'hecke_orbit_code': 99079191835709904, 'label': '4560.2.a.w.1.1', 'level': 4560, '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': [4, 5, 6, 3, 5, 4, 3, 6, 5, 4, 3, 6, 4, 5, 6, 3], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [46, 60, 62, 49, 51, 60, 58, 47, 53, 54, 56, 53, 51, 58, 56, 51], 'Nk2': 18240, 'analytic_conductor': 36.41178332170386, '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': [4560, 1, [1711, 1141, 3041, 2737, 1921], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 937, 'dim': 72, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 17], 'hecke_orbit_code': 33558992, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3], 'label': '4560.2.a', 'level': 4560, '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, 5, 19], 'level_radical': 570, 'mf_dim': 984, 'mf_new_dim': 72, 'num_forms': 48, 'plus_dim': 28, 'prim_orbit_index': 1, 'relative_dim': 72, 'sturm_bound': 1920, 'trace_bound': 13, 'trace_display': [0, 0, 0, -8], 'traces': [72, 0, 0, 0, 0, 0, -8, 0, 72, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 72, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 8, 0, 0, 0, 48, 0, 72, 0, 0, 0, 32, 0, -16, 0, 0, 0, 16, 0, 0, 0, -8, 0, 0, 0, -16, 0, 0, 0, -48, 0, 0, 0, 0, 0, 32, 0, 32, 0, 72, 0, 0, 0, 0, 0, -24, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -48, 0, 0, 0, 32, 0, 32, 0, 0, 0, 64, 0, 24, 0, 0, 0, 16, 0, 120, 0, -24, 0, 0, 0, 32, 0, -16, 0, 48, 0, 0, 0, 0, 0, 64, 0, 48, 0, 0, 0, 48, 0, -16, 0, 0, 0, 32, 0, -16, 0, 0, 0, -32, 0, 0, 0, 48, 0, 64, 0, 8, 0, 0, 0, 48, 0, 24, 0, 0, 0, 0, 0, -8, 0, -32, 0, 80, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 80, 0, 32, 0, 24, 0, 32, 0, 64, 0, -16, 0, 80, 0, 0, 0, -16, 0, 0, 0, 32, 0, 0, 0, 48, 0, -32, 0, 0, 0, 64, 0, 144, 0, 72, 0, 48, 0, 48, 0, 0, 0, 32, 0, 24, 0, -16, 0, 80, 0, -48, 0, 0, 0, 64, 0, -24, 0, -32, 0, 64, 0, 48, 0, 0, 0, -32, 0, 80, 0, 32, 0, -16, 0, 0, 0, 72, 0, 64, 0, 96, 0, 0, 0, -16, 0, 16, 0, 0, 0, 32, 0, 24, 0, 0, 0, 240, 0, 24, 0, 0, 0, -64, 0, 48, 0, 0, 0, 240, 0, 32, 0, 48, 0, 0, 0, 48, 0, -16, 0, -32, 0, -32, 0, 0, 0, -32, 0, 160, 0, 0, 0, 0, 0, 0, 0, -48, 0, -64, 0, 32, 0, 32, 0, 48, 0, -32, 0, 48, 0, -32, 0, -208, 0, -16, 0, -32, 0, 48, 0, 0, 0, -96, 0, 0, 0, 96, 0, -80, 0, 72, 0, -96, 0, -32, 0, 24, 0, 0, 0, -112, 0, 32, 0, 0, 0, -64, 0, -64, 0, -32, 0, 96, 0, 0, 0, 8, 0, 64, 0, -48, 0, -32, 0, 0, 0, 48, 0, 0, 0, 32, 0, -48, 0, 0, 0, -48, 0, -112, 0, 0, 0, -64, 0, -40, 0, -32, 0, 64, 0, -32, 0, 48, 0, 0, 0, 96, 0, 96, 0, -96, 0, -32, 0, 24, 0, 0, 0, 192, 0, 72, 0, 64, 0, 64, 0, 48, 0, 64, 0, 64, 0, -48, 0, -32, 0, 32, 0, 0, 0, -96, 0, 72, 0, 0, 0, -160, 0, 128, 0, -48, 0, 96, 0, 0, 0, 32, 0, -48, 0, -96, 0, 0, 0, 0, 0, -80, 0, -16, 0, 128, 0, -32, 0, -16, 0, -32, 0, -112, 0, 0, 0, 48, 0, 16, 0, 0, 0, 32, 0, -80, 0, 0, 0, -32, 0, 16, 0, 48, 0, -160, 0, 0, 0, 0, 0, 32, 0, 120, 0, 16, 0, -32, 0, 48, 0, 0, 0, -16, 0, -32, 0, -48, 0, -32, 0, -16, 0, 0, 0, 0, 0, -160, 0, 24, 0, 0, 0, -112, 0, -64, 0, -208, 0, -32, 0, -8, 0, 32, 0, 32, 0, 96, 0, -16, 0, -160, 0, -48, 0, -32, 0, -80, 0, 0, 0, 96, 0, -16, 0, 96, 0, -192, 0, 64, 0, -32, 0, 112, 0, -80, 0, -16, 0, 0, 0, -16, 0, -32, 0, 16, 0, 0, 0, -40, 0, 0, 0, 16, 0, 0, 0, -48, 0, 72, 0, 24, 0, -128, 0, 64, 0, -96, 0, 48, 0, 0, 0, -48, 0, -64, 0, 72, 0, 0, 0, 144, 0, -64, 0, -176, 0, -160, 0, 0, 0, 0, 0, 112, 0, 32, 0, -64, 0, 0, 0, -224, 0, -16, 0, -80, 0, 64, 0, 0, 0, -96, 0, -16, 0, 32, 0, 224, 0, 0, 0, -96, 0, -64, 0, -128, 0, 32, 0, 96, 0, -32, 0, -32, 0, -32, 0, -56, 0, 16, 0, 32, 0, 0, 0, 32, 0, -32, 0, -80, 0, -32, 0, -224, 0, -160, 0, 48, 0, 32, 0, -88, 0, 72, 0, -288, 0, -128, 0, 0, 0, 96, 0, -64, 0, 0, 0, -192, 0, -48, 0, 0, 0, 0, 0, 144, 0, 32, 0, -96, 0, -48, 0, 64, 0, -272, 0, -304, 0, 0, 0, -112, 0, 0, 0, 96, 0, 0, 0, 0, 0, -64, 0, 0, 0, 32, 0, -24, 0, -16, 0, 128, 0, 64, 0, -80, 0, -192, 0, 24, 0, -96, 0, -144, 0, 0, 0, -16, 0, 0, 0, -184, 0, 176, 0, -144, 0, -32, 0, -80, 0, 0, 0, -80, 0, -64, 0, -104, 0, 0, 0, -336, 0, -32, 0, 48, 0, -224, 0, 48, 0, 0, 0, 16, 0, 72, 0, 8, 0, 64, 0, -120, 0, -80, 0, -336, 0, -176, 0, 0, 0, -64, 0, 64, 0, -64, 0, -192, 0, -32, 0, 0, 0, 32, 0, -352, 0, 0, 0, 0, 0, 32, 0, 192, 0, -48, 0, -104, 0, 0, 0, 96, 0, 224, 0, -16, 0, -32, 0, 16, 0, 0, 0, 144, 0, -96, 0, -96, 0, 128, 0, 64, 0, 0, 0, -128, 0, -48, 0, 0, 0, -160, 0, 128, 0, 0, 0, -400, 0, 32, 0, -48, 0, 80, 0, 0, 0, -96, 0, 0, 0, -112, 0, -32, 0, 0, 0, 0, 0, 0, 0, -96, 0, -32, 0, -64, 0, 32, 0, 64, 0, -112, 0, 112, 0, 136, 0, 32, 0, -32, 0, -104, 0, 0, 0, 16, 0, -96, 0, 0, 0, 256, 0, 64, 0, 32, 0, -240, 0, -16, 0, -32, 0, 64, 0, -112, 0, -48, 0, 96, 0, -64, 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: 48434407
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709904, 'source_is_minimal': False, 'source_label': '4560.2.a.w.1.1', 'source_level': 4560, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 99079191835709904, 'target_is_minimal': False, 'target_label': '4560.2.a.w.1.1', 'target_level': 4560, 'twist_class_label': '285.2.a.c.1.1', 'twist_class_level': 285, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48434408
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709904, 'source_is_minimal': False, 'source_label': '4560.2.a.w.1.1', 'source_level': 4560, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288295709, 'target_is_minimal': True, 'target_label': '285.2.a.c.1.1', 'target_level': 285, 'twist_class_label': '285.2.a.c.1.1', 'twist_class_level': 285, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48434409
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709904, 'source_is_minimal': False, 'source_label': '4560.2.a.w.1.1', 'source_level': 4560, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33555287, 'target_is_minimal': False, 'target_label': '855.2.a.a.1.1', 'target_level': 855, 'twist_class_label': '285.2.a.c.1.1', 'twist_class_level': 285, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48434410
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709904, 'source_is_minimal': False, 'source_label': '4560.2.a.w.1.1', 'source_level': 4560, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518135609361809, 'target_is_minimal': False, 'target_label': '1425.2.c.f.799.1', 'target_level': 1425, 'twist_class_label': '285.2.a.c.1.1', 'twist_class_level': 285, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48434411
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709904, 'source_is_minimal': False, 'source_label': '4560.2.a.w.1.1', 'source_level': 4560, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518135609361809, 'target_is_minimal': False, 'target_label': '1425.2.c.f.799.2', 'target_level': 1425, 'twist_class_label': '285.2.a.c.1.1', 'twist_class_level': 285, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48434412
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709904, 'source_is_minimal': False, 'source_label': '4560.2.a.w.1.1', 'source_level': 4560, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288296849, 'target_is_minimal': False, 'target_label': '1425.2.a.c.1.1', 'target_level': 1425, 'twist_class_label': '285.2.a.c.1.1', 'twist_class_level': 285, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 48434413
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709904, 'source_is_minimal': False, 'source_label': '4560.2.a.w.1.1', 'source_level': 4560, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679893171, 'target_is_minimal': False, 'target_label': '4275.2.a.j.1.1', 'target_level': 4275, 'twist_class_label': '285.2.a.c.1.1', 'twist_class_level': 285, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 48434414
    {'conductor': 76, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 99079191835709904, 'source_is_minimal': False, 'source_label': '4560.2.a.w.1.1', 'source_level': 4560, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543041831, 'target_is_minimal': False, 'target_label': '5415.2.a.e.1.1', 'target_level': 5415, 'twist_class_label': '285.2.a.c.1.1', 'twist_class_level': 285, 'twisting_char_label': '76.75', 'twisting_conrey_index': 75, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3634425
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 2}
  • id: 3634426
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 3}
  • id: 3634427
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 5}
  • id: 3634428
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 7}
  • id: 3634429
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 11}
  • id: 3634430
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 13}
  • id: 3634431
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 17}
  • id: 3634432
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 19}
  • id: 3634433
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 23}
  • id: 3634434
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 29}
  • id: 3634435
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 31}
  • id: 3634436
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 37}
  • id: 3634437
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 41}
  • id: 3634438
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 43}
  • id: 3634439
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 47}
  • id: 3634440
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 53}
  • id: 3634441
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 59}
  • id: 3634442
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 61}
  • id: 3634443
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 67}
  • id: 3634444
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 71}
  • id: 3634445
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 73}
  • id: 3634446
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 79}
  • id: 3634447
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 83}
  • id: 3634448
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 99079191835709904, 'p': 89}
  • id: 3634449
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 99079191835709904, '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': 23, 'label': '4560.2.a.w', 'level': 4560, '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: 65440645
    {'hecke_orbit_code': 99079191835709904, 'n': 1, 'trace_an': 1}
  • id: 65440646
    {'hecke_orbit_code': 99079191835709904, 'n': 2, 'trace_an': 0}
  • id: 65440647
    {'hecke_orbit_code': 99079191835709904, 'n': 3, 'trace_an': 1}
  • id: 65440648
    {'hecke_orbit_code': 99079191835709904, 'n': 4, 'trace_an': 0}
  • id: 65440649
    {'hecke_orbit_code': 99079191835709904, 'n': 5, 'trace_an': 1}
  • id: 65440650
    {'hecke_orbit_code': 99079191835709904, 'n': 6, 'trace_an': 0}
  • id: 65440651
    {'hecke_orbit_code': 99079191835709904, 'n': 7, 'trace_an': -4}
  • id: 65440652
    {'hecke_orbit_code': 99079191835709904, 'n': 8, 'trace_an': 0}
  • id: 65440653
    {'hecke_orbit_code': 99079191835709904, 'n': 9, 'trace_an': 1}
  • id: 65440654
    {'hecke_orbit_code': 99079191835709904, 'n': 10, 'trace_an': 0}
  • id: 65440655
    {'hecke_orbit_code': 99079191835709904, 'n': 11, 'trace_an': -4}
  • id: 65440656
    {'hecke_orbit_code': 99079191835709904, 'n': 12, 'trace_an': 0}
  • id: 65440657
    {'hecke_orbit_code': 99079191835709904, 'n': 13, 'trace_an': 2}
  • id: 65440658
    {'hecke_orbit_code': 99079191835709904, 'n': 14, 'trace_an': 0}
  • id: 65440659
    {'hecke_orbit_code': 99079191835709904, 'n': 15, 'trace_an': 1}
  • id: 65440660
    {'hecke_orbit_code': 99079191835709904, 'n': 16, 'trace_an': 0}
  • id: 65440661
    {'hecke_orbit_code': 99079191835709904, 'n': 17, 'trace_an': 2}
  • id: 65440662
    {'hecke_orbit_code': 99079191835709904, 'n': 18, 'trace_an': 0}
  • id: 65440663
    {'hecke_orbit_code': 99079191835709904, 'n': 19, 'trace_an': 1}
  • id: 65440664
    {'hecke_orbit_code': 99079191835709904, 'n': 20, 'trace_an': 0}
  • id: 65440665
    {'hecke_orbit_code': 99079191835709904, 'n': 21, 'trace_an': -4}
  • id: 65440666
    {'hecke_orbit_code': 99079191835709904, 'n': 22, 'trace_an': 0}
  • id: 65440667
    {'hecke_orbit_code': 99079191835709904, 'n': 23, 'trace_an': 4}
  • id: 65440668
    {'hecke_orbit_code': 99079191835709904, 'n': 24, 'trace_an': 0}
  • id: 65440669
    {'hecke_orbit_code': 99079191835709904, 'n': 25, 'trace_an': 1}
  • id: 65440670
    {'hecke_orbit_code': 99079191835709904, 'n': 26, 'trace_an': 0}
  • id: 65440671
    {'hecke_orbit_code': 99079191835709904, 'n': 27, 'trace_an': 1}
  • id: 65440672
    {'hecke_orbit_code': 99079191835709904, 'n': 28, 'trace_an': 0}
  • id: 65440673
    {'hecke_orbit_code': 99079191835709904, 'n': 29, 'trace_an': -2}
  • id: 65440674
    {'hecke_orbit_code': 99079191835709904, 'n': 30, 'trace_an': 0}
  • id: 65440675
    {'hecke_orbit_code': 99079191835709904, 'n': 31, 'trace_an': 0}
  • id: 65440676
    {'hecke_orbit_code': 99079191835709904, 'n': 32, 'trace_an': 0}
  • id: 65440677
    {'hecke_orbit_code': 99079191835709904, 'n': 33, 'trace_an': -4}
  • id: 65440678
    {'hecke_orbit_code': 99079191835709904, 'n': 34, 'trace_an': 0}
  • id: 65440679
    {'hecke_orbit_code': 99079191835709904, 'n': 35, 'trace_an': -4}
  • id: 65440680
    {'hecke_orbit_code': 99079191835709904, 'n': 36, 'trace_an': 0}
  • id: 65440681
    {'hecke_orbit_code': 99079191835709904, 'n': 37, 'trace_an': -6}
  • id: 65440682
    {'hecke_orbit_code': 99079191835709904, 'n': 38, 'trace_an': 0}
  • id: 65440683
    {'hecke_orbit_code': 99079191835709904, 'n': 39, 'trace_an': 2}
  • id: 65440684
    {'hecke_orbit_code': 99079191835709904, 'n': 40, 'trace_an': 0}
  • id: 65440685
    {'hecke_orbit_code': 99079191835709904, 'n': 41, 'trace_an': -6}
  • id: 65440686
    {'hecke_orbit_code': 99079191835709904, 'n': 42, 'trace_an': 0}
  • id: 65440687
    {'hecke_orbit_code': 99079191835709904, 'n': 43, 'trace_an': -8}
  • id: 65440688
    {'hecke_orbit_code': 99079191835709904, 'n': 44, 'trace_an': 0}
  • id: 65440689
    {'hecke_orbit_code': 99079191835709904, 'n': 45, 'trace_an': 1}
  • id: 65440690
    {'hecke_orbit_code': 99079191835709904, 'n': 46, 'trace_an': 0}
  • id: 65440691
    {'hecke_orbit_code': 99079191835709904, 'n': 47, 'trace_an': 12}
  • id: 65440692
    {'hecke_orbit_code': 99079191835709904, 'n': 48, 'trace_an': 0}
  • id: 65440693
    {'hecke_orbit_code': 99079191835709904, 'n': 49, 'trace_an': 9}
  • id: 65440694
    {'hecke_orbit_code': 99079191835709904, 'n': 50, 'trace_an': 0}
  • id: 65440695
    {'hecke_orbit_code': 99079191835709904, 'n': 51, 'trace_an': 2}
  • id: 65440696
    {'hecke_orbit_code': 99079191835709904, 'n': 52, 'trace_an': 0}
  • id: 65440697
    {'hecke_orbit_code': 99079191835709904, 'n': 53, 'trace_an': -14}
  • id: 65440698
    {'hecke_orbit_code': 99079191835709904, 'n': 54, 'trace_an': 0}
  • id: 65440699
    {'hecke_orbit_code': 99079191835709904, 'n': 55, 'trace_an': -4}
  • id: 65440700
    {'hecke_orbit_code': 99079191835709904, 'n': 56, 'trace_an': 0}
  • id: 65440701
    {'hecke_orbit_code': 99079191835709904, 'n': 57, 'trace_an': 1}
  • id: 65440702
    {'hecke_orbit_code': 99079191835709904, 'n': 58, 'trace_an': 0}
  • id: 65440703
    {'hecke_orbit_code': 99079191835709904, 'n': 59, 'trace_an': -4}
  • id: 65440704
    {'hecke_orbit_code': 99079191835709904, 'n': 60, 'trace_an': 0}
  • id: 65440705
    {'hecke_orbit_code': 99079191835709904, 'n': 61, 'trace_an': 14}
  • id: 65440706
    {'hecke_orbit_code': 99079191835709904, 'n': 62, 'trace_an': 0}
  • id: 65440707
    {'hecke_orbit_code': 99079191835709904, 'n': 63, 'trace_an': -4}
  • id: 65440708
    {'hecke_orbit_code': 99079191835709904, 'n': 64, 'trace_an': 0}
  • id: 65440709
    {'hecke_orbit_code': 99079191835709904, 'n': 65, 'trace_an': 2}
  • id: 65440710
    {'hecke_orbit_code': 99079191835709904, 'n': 66, 'trace_an': 0}
  • id: 65440711
    {'hecke_orbit_code': 99079191835709904, 'n': 67, 'trace_an': 4}
  • id: 65440712
    {'hecke_orbit_code': 99079191835709904, 'n': 68, 'trace_an': 0}
  • id: 65440713
    {'hecke_orbit_code': 99079191835709904, 'n': 69, 'trace_an': 4}
  • id: 65440714
    {'hecke_orbit_code': 99079191835709904, 'n': 70, 'trace_an': 0}
  • id: 65440715
    {'hecke_orbit_code': 99079191835709904, 'n': 71, 'trace_an': 0}
  • id: 65440716
    {'hecke_orbit_code': 99079191835709904, 'n': 72, 'trace_an': 0}
  • id: 65440717
    {'hecke_orbit_code': 99079191835709904, 'n': 73, 'trace_an': -14}
  • id: 65440718
    {'hecke_orbit_code': 99079191835709904, 'n': 74, 'trace_an': 0}
  • id: 65440719
    {'hecke_orbit_code': 99079191835709904, 'n': 75, 'trace_an': 1}
  • id: 65440720
    {'hecke_orbit_code': 99079191835709904, 'n': 76, 'trace_an': 0}
  • id: 65440721
    {'hecke_orbit_code': 99079191835709904, 'n': 77, 'trace_an': 16}
  • id: 65440722
    {'hecke_orbit_code': 99079191835709904, 'n': 78, 'trace_an': 0}
  • id: 65440723
    {'hecke_orbit_code': 99079191835709904, 'n': 79, 'trace_an': -16}
  • id: 65440724
    {'hecke_orbit_code': 99079191835709904, 'n': 80, 'trace_an': 0}
  • id: 65440725
    {'hecke_orbit_code': 99079191835709904, 'n': 81, 'trace_an': 1}
  • id: 65440726
    {'hecke_orbit_code': 99079191835709904, 'n': 82, 'trace_an': 0}
  • id: 65440727
    {'hecke_orbit_code': 99079191835709904, 'n': 83, 'trace_an': 0}
  • id: 65440728
    {'hecke_orbit_code': 99079191835709904, 'n': 84, 'trace_an': 0}
  • id: 65440729
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  • id: 65440730
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  • id: 65440731
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  • id: 65440732
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  • id: 65440733
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  • id: 65440734
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  • id: 65440735
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  • id: 65440736
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  • id: 65440737
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  • id: 65440738
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  • id: 65440739
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  • id: 65440740
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  • id: 65440741
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  • id: 65440742
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  • id: 65440743
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  • id: 65440744
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  • id: 65440745
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  • id: 65440746
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  • id: 65440747
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  • id: 65440748
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  • id: 65440749
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  • id: 65440750
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  • id: 65440751
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  • id: 65440752
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  • id: 65440753
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  • id: 65440754
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  • id: 65440755
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  • id: 65440756
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  • id: 65440757
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  • id: 65440759
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  • id: 65440760
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  • id: 65440761
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  • id: 65440762
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  • id: 65440763
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  • id: 65440764
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  • id: 65440765
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  • id: 65440766
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  • id: 65440767
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  • id: 65440768
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  • id: 65440769
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  • id: 65440770
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  • id: 65440771
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  • id: 65440772
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  • id: 65440773
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  • id: 65440774
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  • id: 65440775
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  • id: 65440776
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  • id: 65440777
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  • id: 65440778
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  • id: 65440779
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  • id: 65440780
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  • id: 65440781
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  • id: 65440782
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  • id: 65440783
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  • id: 65440784
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  • id: 65440785
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  • id: 65440786
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  • id: 65440787
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  • id: 65440788
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  • id: 65440789
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  • id: 65440790
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  • id: 65440791
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  • id: 65440792
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  • id: 65440793
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  • id: 65440794
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  • id: 65440795
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  • id: 65440796
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  • id: 65440797
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  • id: 65440798
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  • id: 65440799
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  • id: 65440800
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  • id: 65440801
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  • id: 65440802
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  • id: 65440803
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  • id: 65440804
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  • id: 65440805
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  • id: 65440806
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  • id: 65440807
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  • id: 65440808
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  • id: 65440809
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  • id: 65440810
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  • id: 65440811
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  • id: 65440812
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  • id: 65440813
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  • id: 65440814
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  • id: 65440815
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  • id: 65440816
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  • id: 65440817
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  • id: 65440818
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  • id: 65440819
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  • id: 65440820
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  • id: 65440821
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  • id: 65440822
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  • id: 65440823
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  • id: 65440824
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  • id: 65440825
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  • id: 65440826
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  • id: 65440827
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  • id: 65440828
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  • id: 65440829
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  • id: 65440830
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  • id: 65440831
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  • id: 65440832
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  • id: 65440833
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  • id: 65440834
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  • id: 65440835
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  • id: 65440836
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  • id: 65440837
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  • id: 65440838
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  • id: 65440839
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  • id: 65440840
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  • id: 65440841
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  • id: 65440842
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  • id: 65440843
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  • id: 65440844
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  • id: 65440845
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  • id: 65440846
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  • id: 65440847
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  • id: 65440848
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  • id: 65440849
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  • id: 65440850
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  • id: 65440851
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  • id: 65440852
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  • id: 65440853
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  • id: 65440854
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  • id: 65440855
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  • id: 65440856
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  • id: 65440857
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  • id: 65440858
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  • id: 65440859
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  • id: 65440860
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  • id: 65440861
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  • id: 65440862
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  • id: 65440863
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  • id: 65440864
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  • id: 65440865
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  • id: 65440866
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  • id: 65440867
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  • id: 65440868
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  • id: 65440869
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  • id: 65440870
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  • id: 65440871
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  • id: 65440872
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  • id: 65440873
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  • id: 65440874
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  • id: 65440875
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  • id: 65440876
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  • id: 65440877
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  • id: 65440878
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  • id: 65440879
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  • id: 65440880
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  • id: 65440881
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  • id: 65440882
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  • id: 65440883
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  • id: 65440884
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  • id: 65440885
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  • id: 65440886
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  • id: 65440887
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  • id: 65440888
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  • id: 65440889
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  • id: 65440890
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  • id: 65440891
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  • id: 65440892
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  • id: 65440893
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  • id: 65440894
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  • id: 65440895
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  • id: 65440896
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  • id: 65440897
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  • id: 65440898
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  • id: 65440899
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  • id: 65440900
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  • id: 65440901
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  • id: 65440902
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