Newform data - 31.3.b.b

Formats: - HTML - YAML - JSON - 2024-05-11T19:12:28.631640

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 279, 'analytic_conductor': 0.8446888195169204, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 31, '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': [31, 2, [3], [1]], 'cm_discs': [-31], 'conrey_index': 30, 'conrey_indexes': [30], 'dim': 3, 'field_disc': 837, 'field_disc_factorization': [[3, 3], [31, 1]], 'field_poly': [-1, -6, 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, [15, -12, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503668397178911, 'hecke_ring_generator_nbound': 2, '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, 31, 2, -1, 2, -31]], 'is_cm': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '31.3.b.b', 'level': 31, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [31], 'level_radical': 31, 'minimal_twist': '31.3.b.b', 'nf_label': '3.3.837.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{2}q^{2}+(4+\\beta _{1}-2\\beta _{2})q^{4}+(-3\\beta _{1}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '2.2.1.d2', 'self_twist_discs': [-31], 'self_twist_type': 1, 'space_label': '31.3.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1299113431634557842, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.774', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '72.748', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2121.365', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.839', 'prec': 17}, 'traces': [3, 0, 0, 12, 0, 0, 0, -45, 27, -33, 0, 0, 0, -9, 0, 48, 0, 0, 0, 27, 0, 0, 0, 0, 75, 0, 0, 75, 0, 0, -93, -180, 0, 0, -162, 108, 0, 135, 0, -132, 0, 0, 0, 0, 0, 0, -90, 0, 147, 207, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 483, 0, 0, 30, 0, 0, -417, 0, -405, 0, 0, 0, -381, 0, 0, 0, 495, 243, -345, 0, 0, 0, 0, 0, 0, 0, -297, 0, 0, 0, 0, 198, 0, 0, 495, 0, 63, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 135, 0, 0, 0, 0, 0, 615, 0, 0, 363, 0, 0, -372, -738, -81, 0, -720, 0, 0, 414, 0, -690, 0, 0, 0, 0, 0, 0, 99, 0, 15, 0, 432, 0, 0, 0, 0, -594, 0, 0, 540, 0, 0, 0, 0, 0, 0, 0, -405, 0, 0, 0, 891, 0, 0, 0, 0, 507, 0, 0, 0, -450, 0, 678, 0, 0, 0, 0, 243, 0, 0, 0, 0, 0, 0, 0, -360, 0, 1047, 0, 0, 0, -1161, 0, -561, 0, 0, 0, -297, 0, 375, 0, 0, -258, -1089, 0, 0, 0, 0, 0, 0, 0, -1041, 0, 0, 0, 1215, 0, 0, 0, 0, 0, -1125, 675, 519, 990, 0, 0, 0, 0, 0, 0, 0, 0, -909, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 1395, 0, -825, 0, 675, 0, 0, 0, 1932, 0, 0, 0, 0, 0, 0, 0, 0, 0, -729, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -837, 762, 0, 0, -1650, -621, 0, 0, 1350, -1620, 867, 0, 0, 0, 270, 0, -1578, 0, 0, 0, 0, 0, 0, 0, 0, -2025, 0, 0, 0, 0, 0, 1023, 0, 0, 0, 1791, -1458, 0, 0, 0, 0, 1980, 0, 0, 0, 972, 0, -369, 0, -1380, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1215, -1290, 0, 0, 0, 0, 0, 606, 1782, 0, 0, 0, 0, 1758, 0, 0, 0, 0, -1188, 1083, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1350, 0, 0, -1074, -1485, 0, -2265, 0, 0, 0, -2241, 0, 2235, 0, 0, 0, -225, 0, 0, 0, 0, 0, 0, 0, -1905, 0, 0, 0, 99, 0, 0, 0, 0, 0, -2097, 0, 1635, 990, 0, 0, 0, 0, 0, 0, 0, 0, -2025, -810, 0, 0, 0, 0, 2475, 0, 0, 2214, 0, 0, 279, 0, -1941, 0, 0, 0, 0, 1323, 0, 0, 0, 0, 0, 0, 540, 0, 1863, 0, -1845, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 471, 0, 0, 0, 990, 0, 2460, 0, 0, -498, 0, 0, 0, 0, 0, 0, 0, 0, 1452, 1422, 0, 0, 0, 0, 486, 0, 0, 0, 0, 0, -1488, -2970, 0, 0, -2277, 0, 0, 0, -324, -2922, 0, 0, 0, 0, 0, 0, -4365, 0, 2991, 2718, 0, 0, 0, 0, 0, -2826, 0, 0, 1656, 0, 0, 0, 0, 1587, 0, 0, -405, 0, 0, -138, -450, 0, 0, 0, 0, 0, 0, 0, 0, -2682, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3663, 0, -1185, 0, 0, 1902, 0, 0, 60, 0, 0, 0, 0, 0, 1119, 0, 4347, -2490, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1017, 0, 0, 0, 0, 0, -2376, 0, 0, 0, 0, 0, 0, 270, 0, 0, 0, 3270, 5715, 0, 0, 0, 0, 0, 1359, 0, 0, -2250, 0, 0, -837, 0, 2895, 0, 0, 1875, 0, 0, -3765, 0, -3753, 0, 0, 0, -3729, 0, 0, 0, 0, 0, -5313, 0, 0, 0, 0, 0, 0, 0, -3645, 0, 0, 0, -645, 2430, 0, 0, 5175, 0, 270, 0, 0, 0, 0, 0, 0, -1962, 0, 0, 0, 0, -330, 0, 0, 0, 0, 0, 2028, 0, 0, 726, 0, 0, 0, 0, -3429, 0, -441, 0, 0, 0, 0, 0, -1800, 0, 0, 0, 0, 0, 0, 0, 1254, 0, 0, 0, 0, 0, 0, 3870, 0, 0, 4167, 0, 0, 0, 0, 0, 0, 0, -3225, 0, 4455, -1626, -225, 0, 0, 0, 0, 0, 0, 2187, 0, 0, 0, 0, 0, 0, 0, 0, -3105, 0, 0, 0, 0, 0, 0, 0, 2151, 0, 0, 3006, 0, 0, -1440, 0, 0, 0, 0, 0, 0, 0, 1218, 0, 0, 1230, 4491, 0, 0, 0, 0, 0, 0, 0, 3795, 0, 0, -2325, -4644, 0, 0, -4626, 0, 0, 0, 0, -5073, -1242, 0, 0, 0, 0, 0, -4554, 0, 0, 2439, 0, 0, 0, 0, 0, -945, 0, 0, 0, 0, 0, 0, 0, 1500, 0, -2673, -4434, 0, 0, 0, 4518, 0, 0, 0, 0, 3795, 0, 0, 0, -4356, 0, 4119, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2505, -4266, 0, 2523, 495, 0, 2739, 0, 0, 0, 0, 0, 0, 0, 0, 3630, 0, 1782, -4164, -810, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2325, 0, 0, 0, 4860, 0, 0, -4050, 0, 0, 5175, 0, 0, 0, 4455, 0, 0, 0, 759, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1449, 0, 0, 0, 567, 0, 0, 0, 2076, 0, 0, 0, 3960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3786, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5214, 1035, 0, -1929, 0, 0, -330, -90, 0, -810, 0, 0, 0, -9225, 0, 0, 0, 0, 0, -2178, 0, 0, 0, 0, 2382, 0, 0, -5505, 0, 0, 2883, 0, 0, 0, 4302, 0, 0, -5445, 0, -1713, -3474, 0, 0, 0, 0, 0, 0, 0, 0, -4122, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5580, 0, -5289, 0, 0, 0, 0, 0, 7770], 'weight': 3, 'weight_parity': -1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0], [0, 0, 1], [0, 0, 0], [4, 1, -2], [0, -3, -1], [0, 0, 0], [0, 5, -1], [-15, 0, 4], [9, 0, 0], [-11, -7, 2], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-3, 9, 2], [0, 0, 0], [16, 0, -15], [0, 0, 0], [0, 0, 9], [0, -11, 7], [9, 0, -11], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [25, 13, 7], [0, 0, 0], [0, 0, 0], [25, 0, -3], [0, 0, 0], [0, 0, 0], [-31, 0, 0], [-60, -15, 30], [0, 0, 0], [0, 0, 0], [-54, -3, -17], [36, 9, -18], [0, 0, 0], [45, -15, -14], [0, 0, 0], [-44, 17, 23], [0, 21, -17], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, -27, -9], [0, 0, 0], [-30, 0, 0], [0, 0, 0], [49, -19, 23], [69, 33, 11], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-12, -39, 23], [0, 0, 0], [0, 0, 0], [0, 21, 23], [0, 0, 0], [0, 0, 0], [0, 0, -31], [0, 45, -9], [161, 0, -60], [0, 0, 0], [0, 0, 0], [10, 0, 0], [0, 0, 0], [0, 0, 0], [-139, -23, -20], [0, -51, 7], [-135, 0, 36], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-127, 0, 45], [0, 0, 0], [0, 0, 0], [0, 0, 0], [165, 57, -46], [81, 0, 0], [-115, 25, 34], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-99, -63, 18], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, -30], [66, -27, 47], [0, 0, 0], [0, 5, -49], [165, -15, 3], [0, 0, 0], [21, 25, 19]], 'ap': [[0, 0, 1], [0, 0, 0], [0, -3, -1], [0, 5, -1], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, -11, 7], [0, 0, 0], [0, 0, 0], [-31, 0, 0], [0, 0, 0], [0, 21, -17], [0, 0, 0], [-30, 0, 0], [0, 0, 0], [0, 21, 23], [0, 0, 0], [10, 0, 0], [0, -51, 7], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 5, -49], [0, 69, 7], [0, -35, -41], [0, 45, -49], [0, 29, 47], [0, -75, 31], [0, 0, 0], [138, 0, 0], [0, 0, 0], [0, 0, 0], [-198, 0, 0], [0, 0, 0], [0, -35, 79], [0, -115, -1], [0, 0, 0], [-150, 0, 0], [0, 0, 0], [0, 0, 0], [0, 21, -97], [0, -35, -89], [0, 0, 0], [0, 0, 0], [0, -91, -73], [0, 0, 0], [330, 0, 0], [0, 0, 0], [0, 165, -1], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 45, 119], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 189, -73], [-550, 0, 0], [90, 0, 0], [0, 205, 31], [0, 141, 103], [0, 0, 0], [0, 45, -161], [0, 0, 0], [0, 0, 0], [0, 0, 0], [202, 0, 0], [0, 0, 0], [0, -171, -113], [0, 0, 0], [0, -235, 119], [-358, 0, 0], [0, 0, 0], [0, 0, 0], [0, 245, 71], [0, 0, 0], [0, 0, 0], [0, 261, -137], [0, 301, -17], [738, 0, 0], [0, 0, 0], [0, -59, 223], [0, -315, 71], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, -315, -41], [0, -99, -217], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 285, 119], [0, 0, 0], [-942, 0, 0], [0, 0, 0], [0, -371, 127], [0, -275, -161], [0, 0, 0], [0, -195, 271], [0, 0, 0], [0, 0, 0], [-830, 0, 0], [0, 0, 0], [0, -315, 239], [0, 69, 287], [0, 0, 0], [1090, 0, 0], [0, 0, 0], [-750, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [810, 0, 0], [0, 429, -193], [0, -91, -313], [0, 0, 0], [0, 0, 0], [0, -195, -289], [0, 221, -337], [0, -219, 343], [0, 0, 0], [0, 0, 0], [0, -355, 311], [0, 325, -329], [0, 0, 0], [0, 0, 0], [0, 469, 127], [0, 0, 0], [0, 0, 0], [0, -539, -17], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-1478, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-1422, 0, 0], [1210, 0, 0], [-270, 0, 0], [0, 0, 0], [0, 0, 0], [0, -395, 391], [0, 0, 0], [0, 0, 0], [0, 165, -449], [0, 85, 439], [0, 0, 0], [-1262, 0, 0], [0, 0, 0], [-110, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-1158, 0, 0], [0, -435, -329], [0, 0, 0], [0, 0, 0], [0, -715, 119]], 'char_orbit_index': 2, 'field_poly': [-1, -6, 0, 1], 'hecke_orbit_code': 4503668397178911, 'hecke_ring_character_values': [[3, [-1, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0], [0, 1, 0], [4, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0], [0, 1, 0], [-4, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 3, 'label': '31.3.b.b', 'level': 31, 'maxp': 997, 'weight': 3}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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': 279, 'analytic_conductor': 0.8446888195169204, 'char_conductor': 31, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [31, 2, [3], [1]], 'conrey_index': 30, 'cusp_dim': 5, 'dim': 5, 'eis_dim': 2, 'eis_new_dim': 2, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 68769808415, 'hecke_orbit_dims': [2, 3], 'label': '31.3.b', 'level': 31, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [31], 'level_radical': 31, 'mf_dim': 7, 'mf_new_dim': 7, 'num_forms': 2, 'prim_orbit_index': 2, 'relative_dim': 5, 'sturm_bound': 8, 'trace_bound': 1, 'trace_display': [-2, 0, 4, 16], 'traces': [5, -2, 0, 6, 4, 0, 16, -31, -7, -37, 0, 0, 0, -25, 0, 58, 0, 34, 28, 15, 0, 0, 0, 0, 33, 0, 0, 27, 0, 0, -103, -246, 156, 0, -130, 210, 0, 107, -156, -104, -32, 0, 0, 0, -68, 0, -98, 0, 177, 249, 0, 0, 0, 0, 0, 76, 0, 0, 148, 0, 0, 10, -272, 509, 0, -156, 154, 0, 312, -449, -188, -643, 0, 0, 0, -465, 0, 156, 0, 515, 353, -313, 0, 0, 0, 0, 156, 0, 0, -229, 0, 0, -312, 8, 254, 0, -200, 465, 0, 189, -164, 0, -68, 0, 0, 0, 172, 0, -44, 0, 468, 215, 40, 0, 0, 0, 0, 467, 0, 0, 137, 0, 0, -342, -922, 191, 0, -482, 156, 0, -38, -468, -466, -124, 0, 0, 0, -312, 0, 3, 0, 203, 468, 262, 0, 0, 0, 0, -470, 0, 0, 736, 0, 0, -20, 468, 4, 0, -468, -537, 0, -110, 460, 987, 312, 0, 0, 0, 377, 0, -476, 0, -854, -156, 342, 0, 0, 0, 0, 447, 0, 0, 156, 0, 0, 312, 0, -336, 0, 991, 232, 0, 652, -961, -312, -651, 0, 0, 0, -591, 0, 539, 0, 0, -322, -1021, 0, 0, 0, 0, -140, 0, 0, -1213, 0, 0, -80, 1259, -936, 0, 0, -468, 0, -1653, 1389, 479, 1234, 0, 0, 0, 1248, 0, -368, 0, -16, -1353, 624, 0, 0, 0, 0, 226, 0, 0, 42, 0, 0, 1325, 156, -641, 0, 1491, -936, 0, 0, 1590, 148, -156, 0, 0, 0, 452, 0, 1092, 0, -953, -936, -252, 0, 0, 0, 0, -1248, 0, 0, -936, 0, 0, -667, 986, 124, 0, -878, -57, 0, -468, 1094, -498, 1445, 0, 0, 0, 34, 0, -1282, 0, -1248, -124, 936, 0, 0, 0, 0, -1885, 0, 0, 460, 0, 0, 1043, 220, -1092, 0, 1787, -2002, 0, -20, 468, -468, 2032, 0, 0, 0, 642, 0, -829, 0, -1604, -64, -312, 0, 0, 0, 0, 248, 0, 0, 130, 0, 0, 936, 1691, -1834, 0, 624, 404, 0, -468, 1426, 2118, 1248, 0, 0, 0, 1382, 0, 0, 0, -1376, -1664, 753, 0, 0, 0, 0, -156, 0, 0, 544, 0, 0, 936, -428, 0, 0, 1294, 468, 0, -854, -1653, -1872, -2497, 0, 0, 0, -2893, 0, 2835, 0, 312, 0, -15, 0, 0, 0, 0, -548, 0, 0, -2115, 0, 0, -936, 591, 220, 0, -1404, 0, 0, -2033, 1560, 1839, 2174, 0, 0, 0, 1716, 0, -1148, 0, 700, -1885, -674, 0, 0, 0, 0, 1959, 0, 0, 1246, 0, 0, 359, 312, -1809, 0, 936, -1568, 0, 813, 0, 1420, -1404, 0, 0, 0, 748, 0, 1149, 0, -1965, -312, -244, 0, 0, 0, 0, 0, 0, 0, -1248, 0, 0, -624, 839, 1540, 0, 992, 1006, 0, 3496, -468, -624, -1086, 0, 0, 0, -20, 0, 1404, 0, 2496, 2130, 1022, 0, 0, 0, 0, 426, 0, 0, 0, 0, 0, -1538, -4474, -156, 0, -1725, 312, 0, -1052, -2228, -3250, 936, 0, 0, 0, 0, 0, -4975, 0, 2843, 2582, -468, 0, 0, 0, 0, -2318, 0, 0, 3012, 0, 0, 0, 780, 773, 0, -2516, -1077, 0, 936, 206, 418, -2340, 0, 0, 0, 28, 0, -468, 0, -2770, 1248, 124, 0, 0, 0, 0, 2184, 0, 0, 936, 0, 0, -170, 468, 3823, 0, -1309, 1876, 0, 1982, -772, 880, -1256, 0, 0, 0, -1404, 0, 1375, 0, 3905, -2018, -578, 0, 0, 0, 0, 1404, 0, 0, 236, 0, 0, -140, -1313, 468, 0, -1880, 1248, 0, -2748, -936, -936, 1408, 0, 0, 0, -1838, 0, -452, 0, 2746, 4791, 1248, 0, 0, 0, 0, 899, 0, 0, -110, 0, 0, -777, -2496, 2675, 0, -780, 2557, 0, 2184, -3777, 0, -3209, 0, 0, 0, -3709, 0, 1404, 0, 468, 3196, -4837, 0, 0, 0, 0, 312, 0, 0, -2875, 0, 0, -2496, -2025, 2698, 0, -904, 5015, 0, 334, -1460, -936, -1220, 0, 0, 0, -1514, 0, -936, 0, 2496, -578, -468, 0, 0, 0, 0, 2418, 0, 0, -874, 0, 0, -936, -332, -2001, 0, 103, -2028, 0, -1404, -624, 1636, -588, 0, 0, 0, 1092, 0, -820, 0, 2262, 1540, -1248, 0, 0, 0, 0, 2558, 0, 0, 4543, 0, 0, 1872, 0, 936, 0, 1248, -1849, 0, 4115, -2170, 105, -3120, 0, 0, 0, 1348, 0, 4061, 0, 0, -468, 2452, 0, 0, 0, 0, -3649, 0, 0, -2184, 0, 0, -2184, 248, 2579, 0, 0, 4382, 0, 1912, -1480, -4212, -468, 0, 0, 0, -220, 0, 1610, 0, 1872, 878, 3795, 0, 0, 0, 0, -2120, 0, 0, 1839, 0, 0, -2115, -6044, 3744, 0, -5074, 936, 0, 0, -1248, -4923, -1234, 0, 0, 0, -2184, 0, -4234, 0, 468, 2987, -936, 0, 0, 0, 0, 441, 0, 0, 2808, 0, 0, 936, 2340, 352, 0, -2893, -5726, 0, 1872, 1404, 5438, 0, 0, 0, 0, 3987, 0, -1560, 0, -4832, -3276, 2935, 0, 0, 0, 0, 2028, 0, 0, -1716, 0, 0, 2496, -1357, -5498, 0, 3737, -205, 0, 3159, -260, -136, -1808, 0, 0, 0, -2808, 0, 3658, 0, 830, -2960, -3950, 0, 0, 0, 0, 968, 0, 0, -808, 0, 0, -2085, -1872, -312, 0, 4552, 3400, 0, -5522, 2808, -1940, 6743, 0, 0, 0, 4965, 0, 0, 0, -661, 1984, 3276, 0, 0, 0, 0, -112, 0, 0, 455, 0, 0, 936, -1575, 0, 0, 1248, 2356, 0, 312, 1492, 3228, 2788, 0, 0, 0, -468, 0, 312, 0, -3616, 0, -4646, 0, 0, 0, 0, -3744, 0, 0, 1156, 0, 0, 624, 5634, 2139, 0, -3469, 0, 0, 178, -1082, 1560, -762, 0, 0, 0, -8485, 0, 468, 0, -1872, -2808, -1590, 0, 0, 0, 0, 2846, 0, 0, -5485, 0, 0, 1061, -1404, -2924, 0, 5606, -2496, 0, -7027, 0, -1313, -1526, 0, 0, 0, 3276, 0, -716, 0, 2808, -4302, 748, 0, 0, 0, 0, 0, 0, 0, -936, 0, 0, 5910, 2964, -3785, 0, -468, -524, 0, -3744, 6482], 'weight': 3, 'weight_parity': -1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 24914
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 2, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '31.3.b.b', 'source_level': 31, 'target_char_orbit': 2, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '31.3.b.b', 'target_level': 31, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 3}
  • id: 24915
    {'conductor': 31, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -31, 'source_char_orbit': 2, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '31.3.b.b', 'source_level': 31, 'target_char_orbit': 2, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '31.3.b.b', 'target_level': 31, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '31.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 24916
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '31.3.b.b', 'source_level': 31, 'target_char_orbit': 4, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '279.3.d.c', 'target_level': 279, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 24917
    {'conductor': 93, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '31.3.b.b', 'source_level': 31, 'target_char_orbit': 4, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '279.3.d.c', 'target_level': 279, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '93.c', 'twisting_char_orbit': 3, 'weight': 3}
  • id: 24918
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '31.3.b.b', 'source_level': 31, 'target_char_orbit': 5, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '496.3.e.c', 'target_level': 496, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 24919
    {'conductor': 124, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '31.3.b.b', 'source_level': 31, 'target_char_orbit': 5, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '496.3.e.c', 'target_level': 496, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '124.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 24920
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '31.3.b.b', 'source_level': 31, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '775.3.c.b', 'target_level': 775, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 3}
  • id: 24921
    {'conductor': 155, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '31.3.b.b', 'source_level': 31, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '775.3.c.b', 'target_level': 775, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '155.f', 'twisting_char_orbit': 6, 'weight': 3}
  • id: 24922
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '31.3.b.b', 'source_level': 31, 'target_char_orbit': 4, 'target_dim': 3, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '775.3.d.d', 'target_level': 775, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 24923
    {'conductor': 155, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 3, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '31.3.b.b', 'source_level': 31, 'target_char_orbit': 4, 'target_dim': 3, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '775.3.d.d', 'target_level': 775, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '155.c', 'twisting_char_orbit': 3, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 114375
    {'charpoly_factorization': [[[15, -12, 0, 1], 1]], 'hecke_orbit_code': 4503668397178911, 'p': 2}
  • id: 114376
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 3}
  • id: 114377
    {'charpoly_factorization': [[[246, -75, 0, 1], 1]], 'hecke_orbit_code': 4503668397178911, 'p': 5}
  • id: 114378
    {'charpoly_factorization': [[[430, -147, 0, 1], 1]], 'hecke_orbit_code': 4503668397178911, 'p': 7}
  • id: 114379
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 11}
  • id: 114380
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 13}
  • id: 114381
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 17}
  • id: 114382
    {'charpoly_factorization': [[[-10618, -1083, 0, 1], 1]], 'hecke_orbit_code': 4503668397178911, 'p': 19}
  • id: 114383
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 23}
  • id: 114384
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 29}
  • id: 114385
    {'charpoly_factorization': [[[31, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 31}
  • id: 114386
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 37}
  • id: 114387
    {'charpoly_factorization': [[[60558, -5043, 0, 1], 1]], 'hecke_orbit_code': 4503668397178911, 'p': 41}
  • id: 114388
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 43}
  • id: 114389
    {'charpoly_factorization': [[[30, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 47}
  • id: 114390
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 53}
  • id: 114391
    {'charpoly_factorization': [[[-136842, -10443, 0, 1], 1]], 'hecke_orbit_code': 4503668397178911, 'p': 59}
  • id: 114392
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 61}
  • id: 114393
    {'charpoly_factorization': [[[-10, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 67}
  • id: 114394
    {'charpoly_factorization': [[[-284178, -15123, 0, 1], 1]], 'hecke_orbit_code': 4503668397178911, 'p': 71}
  • id: 114395
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 73}
  • id: 114396
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 79}
  • id: 114397
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 83}
  • id: 114398
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 4503668397178911, 'p': 89}
  • id: 114399
    {'charpoly_factorization': [[[-1807490, -28227, 0, 1], 1]], 'hecke_orbit_code': 4503668397178911, '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': '31.3.b.b', 'level': 31, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 79409000
    {'hecke_orbit_code': 4503668397178911, 'n': 1, 'trace_an': 3}
  • id: 79409001
    {'hecke_orbit_code': 4503668397178911, 'n': 2, 'trace_an': 0}
  • id: 79409002
    {'hecke_orbit_code': 4503668397178911, 'n': 3, 'trace_an': 0}
  • id: 79409003
    {'hecke_orbit_code': 4503668397178911, 'n': 4, 'trace_an': 12}
  • id: 79409004
    {'hecke_orbit_code': 4503668397178911, 'n': 5, 'trace_an': 0}
  • id: 79409005
    {'hecke_orbit_code': 4503668397178911, 'n': 6, 'trace_an': 0}
  • id: 79409006
    {'hecke_orbit_code': 4503668397178911, 'n': 7, 'trace_an': 0}
  • id: 79409007
    {'hecke_orbit_code': 4503668397178911, 'n': 8, 'trace_an': -45}
  • id: 79409008
    {'hecke_orbit_code': 4503668397178911, 'n': 9, 'trace_an': 27}
  • id: 79409009
    {'hecke_orbit_code': 4503668397178911, 'n': 10, 'trace_an': -33}
  • id: 79409010
    {'hecke_orbit_code': 4503668397178911, 'n': 11, 'trace_an': 0}
  • id: 79409011
    {'hecke_orbit_code': 4503668397178911, 'n': 12, 'trace_an': 0}
  • id: 79409012
    {'hecke_orbit_code': 4503668397178911, 'n': 13, 'trace_an': 0}
  • id: 79409013
    {'hecke_orbit_code': 4503668397178911, 'n': 14, 'trace_an': -9}
  • id: 79409014
    {'hecke_orbit_code': 4503668397178911, 'n': 15, 'trace_an': 0}
  • id: 79409015
    {'hecke_orbit_code': 4503668397178911, 'n': 16, 'trace_an': 48}
  • id: 79409016
    {'hecke_orbit_code': 4503668397178911, 'n': 17, 'trace_an': 0}
  • id: 79409017
    {'hecke_orbit_code': 4503668397178911, 'n': 18, 'trace_an': 0}
  • id: 79409018
    {'hecke_orbit_code': 4503668397178911, 'n': 19, 'trace_an': 0}
  • id: 79409019
    {'hecke_orbit_code': 4503668397178911, 'n': 20, 'trace_an': 27}
  • id: 79409020
    {'hecke_orbit_code': 4503668397178911, 'n': 21, 'trace_an': 0}
  • id: 79409021
    {'hecke_orbit_code': 4503668397178911, 'n': 22, 'trace_an': 0}
  • id: 79409022
    {'hecke_orbit_code': 4503668397178911, 'n': 23, 'trace_an': 0}
  • id: 79409023
    {'hecke_orbit_code': 4503668397178911, 'n': 24, 'trace_an': 0}
  • id: 79409024
    {'hecke_orbit_code': 4503668397178911, 'n': 25, 'trace_an': 75}
  • id: 79409025
    {'hecke_orbit_code': 4503668397178911, 'n': 26, 'trace_an': 0}
  • id: 79409026
    {'hecke_orbit_code': 4503668397178911, 'n': 27, 'trace_an': 0}
  • id: 79409027
    {'hecke_orbit_code': 4503668397178911, 'n': 28, 'trace_an': 75}
  • id: 79409028
    {'hecke_orbit_code': 4503668397178911, 'n': 29, 'trace_an': 0}
  • id: 79409029
    {'hecke_orbit_code': 4503668397178911, 'n': 30, 'trace_an': 0}
  • id: 79409030
    {'hecke_orbit_code': 4503668397178911, 'n': 31, 'trace_an': -93}
  • id: 79409031
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  • id: 79409035
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  • id: 79409037
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  • id: 79409038
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  • id: 79409039
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  • id: 79409044
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  • id: 79409049
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  • id: 79409050
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  • id: 79409055
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  • id: 79409056
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  • id: 79409063
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  • id: 79409080
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  • id: 79409120
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  • id: 79409121
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  • id: 79409122
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  • id: 79409130
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  • id: 79409131
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  • id: 79409132
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  • id: 79409133
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  • id: 79409140
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  • id: 79409143
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  • id: 79409144
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  • id: 79409145
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  • id: 79409146
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  • id: 79409147
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  • id: 79409148
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  • id: 79409152
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  • id: 79409156
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  • id: 79409157
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  • id: 79409158
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  • id: 79409159
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  • id: 79409160
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  • id: 79409161
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  • id: 79409162
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  • id: 79409163
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  • id: 79409164
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  • id: 79409165
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  • id: 79409166
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  • id: 79409167
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  • id: 79409168
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  • id: 79409169
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  • id: 79409170
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  • id: 79409171
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  • id: 79409172
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  • id: 79409173
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  • id: 79409174
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  • id: 79409175
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  • id: 79409176
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  • id: 79409177
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  • id: 79409178
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  • id: 79409179
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  • id: 79409180
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  • id: 79409181
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  • id: 79409182
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  • id: 79409183
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  • id: 79409186
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  • id: 79409187
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  • id: 79409188
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  • id: 79409189
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  • id: 79409190
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  • id: 79409191
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  • id: 79409192
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  • id: 79409193
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  • id: 79409194
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  • id: 79409196
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  • id: 79409197
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  • id: 79409198
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  • id: 79409200
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  • id: 79409202
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  • id: 79409216
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  • id: 79409219
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  • id: 79409220
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  • id: 79409221
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  • id: 79409222
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  • id: 79409224
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  • id: 79409225
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  • id: 79409228
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