Newform data - 440.2.a.c

Formats: - HTML - YAML - JSON - 2025-12-28T20:37:14.372207

• 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': 1760, 'analytic_conductor': 3.513417688936337, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, -1], [11, 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': [440, 1, [111, 221, 177, 321], [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': [[3, [0, 1]], [7, [-4, 1]], [13, [-6, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199288295864, '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': True, 'label': '440.2.a.c', 'level': 440, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '440.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{5}+4q^{7}-3q^{9}-q^{11}+6q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/440/c'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '440.2.a', 'trace_display': [0, 0, 1, 4], 'trace_hash': 1631783806503568453, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.988', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.923', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.665', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.017', 'prec': 17}, 'traces': [1, 0, 0, 0, 1, 0, 4, 0, -3, 0, -1, 0, 6, 0, 0, 0, -6, 0, 4, 0, 0, 0, 4, 0, 1, 0, 0, 0, -2, 0, 8, 0, 0, 0, 4, 0, -10, 0, 0, 0, 10, 0, 0, 0, -3, 0, 4, 0, 9, 0, 0, 0, -10, 0, -1, 0, 0, 0, -4, 0, -2, 0, -12, 0, 6, 0, -8, 0, 0, 0, 0, 0, -14, 0, 0, 0, -4, 0, -16, 0, 9, 0, -8, 0, -6, 0, 0, 0, -6, 0, 24, 0, 0, 0, 4, 0, 2, 0, 3, 0, -10, 0, 20, 0, 0, 0, 8, 0, -2, 0, 0, 0, 2, 0, 4, 0, -18, 0, -24, 0, 1, 0, 0, 0, 1, 0, -20, 0, 0, 0, -20, 0, 16, 0, 0, 0, -6, 0, -4, 0, 0, 0, -6, 0, -2, 0, 0, 0, 6, 0, 0, 0, 18, 0, 8, 0, -2, 0, 0, 0, 16, 0, -16, 0, 0, 0, 4, 0, 23, 0, -12, 0, 6, 0, 4, 0, 0, 0, 4, 0, 22, 0, 0, 0, -10, 0, 6, 0, 0, 0, 24, 0, 10, 0, 0, 0, -18, 0, 8, 0, 0, 0, -8, 0, 10, 0, -12, 0, -4, 0, -4, 0, 0, 0, 0, 0, 32, 0, 0, 0, -36, 0, -4, 0, -3, 0, 0, 0, 6, 0, 0, 0, 2, 0, 4, 0, 0, 0, 16, 0, 18, 0, 0, 0, 9, 0, 24, 0, 0, 0, 20, 0, -4, 0, 0, 0, 2, 0, -40, 0, 6, 0, -4, 0, -10, 0, 0, 0, 14, 0, -24, 0, 0, 0, -1, 0, -2, 0, -24, 0, -6, 0, 16, 0, 0, 0, 40, 0, 19, 0, 0, 0, -18, 0, -4, 0, 0, 0, 24, 0, 0, 0, 0, 0, -2, 0, 32, 0, 0, 0, 0, 0, -6, 0, -12, 0, -18, 0, 2, 0, 0, 0, -24, 0, 6, 0, 0, 0, 16, 0, 4, 0, 30, 0, -8, 0, -22, 0, 0, 0, -8, 0, 8, 0, 0, 0, -8, 0, -2, 0, 0, 0, -30, 0, 0, 0, 0, 0, 24, 0, -3, 0, 0, 0, -14, 0, -12, 0, -30, 0, -40, 0, 14, 0, 0, 0, -12, 0, -20, 0, 0, 0, -20, 0, -4, 0, 0, 0, -26, 0, -24, 0, 0, 0, -16, 0, -2, 0, 0, 0, 18, 0, 48, 0, 9, 0, 10, 0, 10, 0, 0, 0, -16, 0, -8, 0, 0, 0, 20, 0, 6, 0, -12, 0, -6, 0, -8, 0, 0, 0, -8, 0, -14, 0, 0, 0, 16, 0, -8, 0, -27, 0, 24, 0, -6, 0, 0, 0, 18, 0, -10, 0, 0, 0, 24, 0, 18, 0, 0, 0, -34, 0, 12, 0, 0, 0, 24, 0, -32, 0, 0, 0, 0, 0, 4, 0, 30, 0, 32, 0, -60, 0, 0, 0, 2, 0, 12, 0, 0, 0, 20, 0, 12, 0, 3, 0, 0, 0, 4, 0, 0, 0, 12, 0, -10, 0, 0, 0, -34, 0, -56, 0, 0, 0, 20, 0, -4, 0, 0, 0, 10, 0, -16, 0, 0, 0, -48, 0, -7, 0, 12, 0, 60, 0, 8, 0, 0, 0, -9, 0, -18, 0, 0, 0, -2, 0, 0, 0, 6, 0, -8, 0, -64, 0, 0, 0, 6, 0, 0, 0, 0, 0, -24, 0, 2, 0, 36, 0, 42, 0, 20, 0, 0, 0, 4, 0, -14, 0, 0, 0, -32, 0, 10, 0, -18, 0, 0, 0, 32, 0, 0, 0, -22, 0, -24, 0, 0, 0, 24, 0, 26, 0, 24, 0, 1, 0, 12, 0, 0, 0, 24, 0, 14, 0, 0, 0, 42, 0, 12, 0, 0, 0, -24, 0, 1, 0, 0, 0, 60, 0, 48, 0, 0, 0, -20, 0, 54, 0, 0, 0, 18, 0, 16, 0, 0, 0, -36, 0, 4, 0, 0, 0, 14, 0, -20, 0, 42, 0, 4, 0, -10, 0, 0, 0, 16, 0, -8, 0, 0, 0, 2, 0, -22, 0, 0, 0, 30, 0, 8, 0, 0, 0, 8, 0, -6, 0, 0, 0, -60, 0, -20, 0, 12, 0, -4, 0, -60, 0, 0, 0, -34, 0, -40, 0, 0, 0, -40, 0, -26, 0, 48, 0, 32, 0, -6, 0, 0, 0, 16, 0, 80, 0, 0, 0, -2, 0, 28, 0, -27, 0, 0, 0, 22, 0, 0, 0, 8, 0, -44, 0, 0, 0, 12, 0, 6, 0, 24, 0, 32, 0, 8, 0, 0, 0, 0, 0, 22, 0, 0, 0, -6, 0, -8, 0, 18, 0, -24, 0, -14, 0, 0, 0, 6, 0, 8, 0, 0, 0, 40, 0, 0, 0, 0, 0, -2, 0, -48, 0, 0, 0, 8, 0, -12, 0, 0, 0, -50, 0, -24, 0, 18, 0, 14, 0, 16, 0, 0, 0, -6, 0, -44, 0, 0, 0, -16, 0, 0, 0, -72, 0, -10, 0, 20, 0, 0, 0, 56, 0, -2, 0, 0, 0, -54, 0, 4, 0, 0, 0, 24, 0, -25, 0, 0, 0, 23, 0, 4, 0, 0, 0, -40, 0, -2, 0, -12, 0, 18, 0, 44, 0, 0, 0, -4, 0, 6, 0, 0, 0, 16, 0, -48, 0, -6, 0, 4, 0, 38, 0, 0, 0, 2, 0, -16, 0, 0, 0, -28, 0, -80, 0, -9, 0, 16, 0, 4, 0, 0, 0, -16, 0, 60, 0, 0, 0, 22, 0, -32, 0, 30, 0, 24, 0, 8, 0, 0, 0, -80, 0, 40, 0, 0, 0, 0, 0, -10, 0, -60, 0, 50, 0, 36, 0, 0, 0, 6, 0, 34, 0, 0, 0, -2, 0, 40, 0, 0, 0, 8, 0, -84, 0, 0, 0, 2, 0, 24, 0, 0, 0, -24, 0, 33, 0, -24, 0, 10, 0, -44, 0, 0, 0, -28, 0, -16, 0, 0, 0, -14, 0, 6, 0, 6, 0, -44, 0, -18, 0, 0, 0, 0, 0, -56, 0, 0, 0, 8, 0, 14, 0, 0, 0], 'weight': 2, '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], [1], [0], [4], [0], [-3], [0], [-1], [0], [6], [0], [0], [0], [-6], [0], [4], [0], [0], [0], [4], [0], [1], [0], [0], [0], [-2], [0], [8], [0], [0], [0], [4], [0], [-10], [0], [0], [0], [10], [0], [0], [0], [-3], [0], [4], [0], [9], [0], [0], [0], [-10], [0], [-1], [0], [0], [0], [-4], [0], [-2], [0], [-12], [0], [6], [0], [-8], [0], [0], [0], [0], [0], [-14], [0], [0], [0], [-4], [0], [-16], [0], [9], [0], [-8], [0], [-6], [0], [0], [0], [-6], [0], [24], [0], [0], [0], [4], [0], [2], [0], [3], [0]], 'ap': [[0], [0], [1], [4], [-1], [6], [-6], [4], [4], [-2], [8], [-10], [10], [0], [4], [-10], [-4], [-2], [-8], [0], [-14], [-16], [-8], [-6], [2], [-10], [20], [8], [-2], [2], [-20], [-20], [-6], [-4], [6], [0], [-2], [-16], [4], [6], [4], [22], [24], [10], [-18], [8], [-4], [-4], [0], [6], [2], [16], [18], [20], [2], [-4], [14], [-24], [-2], [-6], [16], [-18], [32], [0], [-6], [-18], [4], [-22], [-8], [-2], [-30], [24], [-12], [14], [-20], [-20], [-26], [-2], [18], [10], [20], [6], [-8], [-14], [-8], [24], [18], [18], [-34], [12], [24], [32], [12], [20], [4], [12], [-34], [10], [-16], [-18], [0], [6], [-24], [42], [20], [-14], [0], [-22], [24], [26], [12], [14], [42], [12], [48], [18], [16], [-36], [14], [4], [-10], [-22], [30], [8], [-20], [-34], [-26], [16], [28], [22], [-44], [12], [8], [22], [-6], [-14], [6], [-48], [-50], [-6], [-44], [-10], [20], [56], [-2], [24], [-2], [18], [44], [-4], [38], [2], [-16], [-28], [-32], [24], [40], [50], [34], [-2], [8], [2], [-44], [-28], [-14], [-44], [-56], [14]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 9007199288295864, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '440.2.a.c', 'level': 440, 'maxp': 997, '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': [1, 2, 2, 0, 2, 1, 0, 2], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [4, 9, 10, 5, 6, 8, 8, 5], 'Nk2': 1760, 'analytic_conductor': 3.513417688936337, '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': [440, 1, [111, 221, 177, 321], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 65, 'dim': 10, 'eis_dim': 15, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 13], 'hecke_orbit_code': 33554872, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2], 'label': '440.2.a', 'level': 440, '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, 5, 11], 'level_radical': 110, 'mf_dim': 80, 'mf_new_dim': 10, 'num_forms': 7, 'plus_dim': 2, 'prim_orbit_index': 1, 'relative_dim': 10, 'sturm_bound': 144, 'trace_bound': 11, 'trace_display': [0, 4, -2, 8], 'traces': [10, 0, 4, 0, -2, 0, 8, 0, 6, 0, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, 16, 0, -4, 0, 10, 0, 16, 0, 12, 0, 28, 0, -4, 0, 0, 0, -4, 0, -16, 0, -12, 0, 16, 0, 6, 0, -28, 0, -2, 0, -16, 0, -20, 0, 0, 0, -16, 0, -8, 0, -4, 0, 8, 0, 0, 0, -4, 0, -24, 0, 12, 0, 0, 0, 4, 0, -8, 0, -16, 0, -6, 0, 0, 0, 0, 0, -40, 0, 0, 0, 8, 0, -16, 0, -8, 0, -12, 0, 0, 0, -12, 0, -4, 0, 8, 0, -24, 0, 4, 0, -20, 0, -36, 0, 12, 0, -24, 0, -20, 0, 10, 0, -56, 0, -2, 0, 0, 0, -32, 0, -16, 0, 32, 0, -12, 0, -28, 0, -8, 0, -16, 0, -4, 0, -12, 0, -4, 0, -28, 0, 56, 0, 16, 0, 16, 0, 52, 0, -36, 0, 40, 0, 36, 0, -4, 0, 16, 0, 54, 0, 16, 0, -32, 0, 8, 0, 56, 0, 8, 0, 36, 0, 8, 0, -16, 0, 12, 0, 32, 0, 40, 0, 0, 0, -24, 0, -32, 0, -12, 0, 16, 0, -8, 0, 36, 0, 20, 0, 12, 0, 16, 0, 32, 0, 16, 0, 32, 0, 72, 0, 0, 0, 20, 0, 6, 0, -48, 0, 44, 0, -12, 0, 72, 0, -4, 0, 32, 0, 72, 0, -12, 0, -28, 0, -2, 0, 120, 0, -56, 0, -24, 0, 20, 0, 48, 0, -60, 0, 88, 0, 12, 0, 0, 0, -16, 0, 32, 0, 20, 0, 32, 0, -8, 0, 0, 0, -40, 0, -16, 0, -28, 0, 16, 0, -32, 0, -56, 0, 18, 0, -64, 0, 8, 0, -8, 0, -16, 0, -40, 0, -8, 0, 24, 0, 36, 0, 56, 0, -56, 0, -60, 0, 12, 0, -40, 0, 36, 0, -20, 0, 8, 0, -8, 0, 8, 0, -72, 0, -16, 0, 8, 0, 12, 0, 12, 0, 80, 0, -48, 0, 0, 0, 64, 0, -24, 0, -8, 0, -36, 0, -40, 0, -36, 0, 8, 0, -112, 0, 96, 0, 6, 0, 4, 0, -16, 0, -52, 0, -124, 0, -40, 0, 0, 0, 0, 0, 56, 0, -112, 0, -16, 0, -84, 0, -4, 0, 96, 0, 4, 0, -48, 0, -32, 0, -24, 0, 36, 0, -12, 0, -40, 0, -48, 0, 14, 0, 0, 0, 4, 0, -24, 0, -96, 0, -40, 0, -96, 0, -16, 0, -20, 0, -84, 0, 0, 0, -72, 0, 48, 0, -24, 0, 28, 0, -48, 0, 80, 0, 24, 0, -18, 0, 28, 0, -36, 0, -40, 0, 36, 0, -8, 0, 0, 0, 24, 0, 72, 0, 56, 0, 4, 0, -36, 0, 20, 0, 164, 0, -32, 0, 76, 0, 0, 0, 8, 0, -36, 0, 80, 0, -56, 0, 0, 0, -4, 0, -92, 0, 132, 0, -104, 0, -48, 0, 0, 0, -32, 0, 8, 0, 32, 0, 40, 0, -12, 0, 28, 0, -52, 0, -24, 0, 16, 0, 20, 0, -20, 0, -8, 0, -44, 0, 40, 0, 16, 0, 0, 0, -6, 0, 64, 0, 80, 0, -32, 0, 8, 0, -16, 0, 4, 0, -8, 0, 20, 0, -144, 0, -36, 0, -28, 0, -40, 0, 64, 0, 112, 0, -64, 0, 20, 0, -152, 0, -52, 0, -40, 0, 4, 0, 56, 0, 80, 0, -4, 0, -148, 0, 0, 0, -88, 0, -16, 0, -72, 0, 148, 0, -80, 0, 48, 0, 16, 0, -8, 0, 112, 0, -124, 0, -44, 0, 172, 0, -2, 0, 144, 0, 148, 0, 136, 0, 0, 0, 40, 0, 36, 0, 48, 0, -8, 0, 64, 0, 10, 0, 24, 0, 128, 0, -36, 0, 16, 0, -32, 0, -24, 0, 56, 0, 56, 0, 36, 0, 32, 0, 44, 0, 16, 0, 8, 0, 60, 0, -16, 0, 160, 0, 64, 0, -28, 0, -24, 0, -28, 0, -40, 0, 88, 0, 20, 0, -32, 0, 16, 0, 120, 0, 24, 0, 80, 0, -20, 0, 36, 0, 240, 0, 8, 0, -88, 0, -24, 0, 40, 0, -40, 0, 96, 0, -68, 0, 48, 0, 56, 0, -128, 0, 108, 0, 8, 0, 88, 0, 12, 0, -160, 0, -44, 0, -24, 0, 264, 0, 12, 0, -28, 0, -126, 0, 72, 0, -64, 0, -44, 0, -28, 0, -168, 0, 104, 0, 48, 0, 44, 0, -64, 0, 104, 0, -12, 0, 0, 0, 16, 0, -28, 0, -40, 0, -20, 0, -64, 0, 48, 0, -48, 0, -28, 0, 48, 0, -36, 0, 28, 0, 16, 0, -16, 0, -8, 0, -16, 0, -24, 0, -152, 0, -128, 0, 32, 0, 8, 0, -64, 0, -140, 0, 72, 0, -12, 0, 36, 0, -48, 0, 88, 0, -116, 0, -40, 0, 0, 0, -16, 0, 40, 0, -176, 0, 108, 0, -60, 0, -4, 0, 72, 0, -12, 0, -128, 0, -192, 0, -40, 0, 32, 0, 168, 0, 90, 0, 56, 0, 2, 0, 8, 0, 152, 0, 0, 0, -48, 0, -80, 0, 96, 0, -8, 0, -64, 0, -124, 0, 16, 0, 52, 0, 16, 0, -104, 0, -28, 0, 0, 0, 48, 0, -8, 0, 100, 0, 36, 0, -72, 0, -176, 0, -112, 0, -32, 0, 112, 0, 16, 0, 96, 0, 72, 0, -64, 0, 24, 0, 68, 0, 36, 0, -108, 0, 132, 0, 48, 0, 32, 0, -160, 0, 0, 0, -64, 0, -256, 0, -4, 0, -100, 0, 168, 0, 48, 0, -16, 0, 0, 0, -168, 0, -96, 0, -156, 0, -40, 0, -24, 0, 20, 0, -168, 0, 4, 0, -56, 0, 40, 0, -40, 0, -176, 0, 14, 0, -72, 0, 96, 0, -16, 0, -116, 0, -72, 0, 48, 0, -16, 0, -156, 0, -32, 0, 148, 0, -100, 0, -24, 0, -208, 0, 96, 0, -56, 0, -56, 0, 64, 0, 16, 0, 76, 0], 'weight': 2, '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: 318893
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '440.2.a.c', 'target_level': 440, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 318894
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '880.2.a.g', 'target_level': 880, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 318895
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '2200.2.a.e', 'target_level': 2200, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 318896
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2200.2.b.c', 'target_level': 2200, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 318897
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '3520.2.a.m', 'target_level': 3520, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 318898
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '3520.2.a.r', 'target_level': 3520, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 318899
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '3960.2.a.i', 'target_level': 3960, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 318900
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '4400.2.a.r', 'target_level': 4400, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 318901
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '4400.2.b.o', 'target_level': 4400, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 318902
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '4840.2.a.e', 'target_level': 4840, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 318903
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '7920.2.a.b', 'target_level': 7920, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 318904
    {'conductor': 44, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '440.2.a.c', 'source_level': 440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 19, 'target_is_minimal': False, 'target_label': '9680.2.a.s', 'target_level': 9680, 'twist_class_label': '440.2.a.c', 'twist_class_level': 440, 'twisting_char_label': '44.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 888475
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 2}
  • id: 888476
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 3}
  • id: 888477
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 5}
  • id: 888478
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 7}
  • id: 888479
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 11}
  • id: 888480
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 13}
  • id: 888481
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 17}
  • id: 888482
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 19}
  • id: 888483
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 23}
  • id: 888484
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 29}
  • id: 888485
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 31}
  • id: 888486
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 37}
  • id: 888487
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 41}
  • id: 888488
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 43}
  • id: 888489
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 47}
  • id: 888490
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 53}
  • id: 888491
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 59}
  • id: 888492
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 61}
  • id: 888493
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 67}
  • id: 888494
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 71}
  • id: 888495
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 73}
  • id: 888496
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 79}
  • id: 888497
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 83}
  • id: 888498
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 9007199288295864, 'p': 89}
  • id: 888499
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288295864, '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': 3, 'label': '440.2.a.c', 'level': 440, '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: 26082487
    {'hecke_orbit_code': 9007199288295864, 'n': 1, 'trace_an': 1}
  • id: 26082488
    {'hecke_orbit_code': 9007199288295864, 'n': 2, 'trace_an': 0}
  • id: 26082489
    {'hecke_orbit_code': 9007199288295864, 'n': 3, 'trace_an': 0}
  • id: 26082490
    {'hecke_orbit_code': 9007199288295864, 'n': 4, 'trace_an': 0}
  • id: 26082491
    {'hecke_orbit_code': 9007199288295864, 'n': 5, 'trace_an': 1}
  • id: 26082492
    {'hecke_orbit_code': 9007199288295864, 'n': 6, 'trace_an': 0}
  • id: 26082493
    {'hecke_orbit_code': 9007199288295864, 'n': 7, 'trace_an': 4}
  • id: 26082494
    {'hecke_orbit_code': 9007199288295864, 'n': 8, 'trace_an': 0}
  • id: 26082495
    {'hecke_orbit_code': 9007199288295864, 'n': 9, 'trace_an': -3}
  • id: 26082496
    {'hecke_orbit_code': 9007199288295864, 'n': 10, 'trace_an': 0}
  • id: 26082497
    {'hecke_orbit_code': 9007199288295864, 'n': 11, 'trace_an': -1}
  • id: 26082498
    {'hecke_orbit_code': 9007199288295864, 'n': 12, 'trace_an': 0}
  • id: 26082499
    {'hecke_orbit_code': 9007199288295864, 'n': 13, 'trace_an': 6}
  • id: 26082500
    {'hecke_orbit_code': 9007199288295864, 'n': 14, 'trace_an': 0}
  • id: 26082501
    {'hecke_orbit_code': 9007199288295864, 'n': 15, 'trace_an': 0}
  • id: 26082502
    {'hecke_orbit_code': 9007199288295864, 'n': 16, 'trace_an': 0}
  • id: 26082503
    {'hecke_orbit_code': 9007199288295864, 'n': 17, 'trace_an': -6}
  • id: 26082504
    {'hecke_orbit_code': 9007199288295864, 'n': 18, 'trace_an': 0}
  • id: 26082505
    {'hecke_orbit_code': 9007199288295864, 'n': 19, 'trace_an': 4}
  • id: 26082506
    {'hecke_orbit_code': 9007199288295864, 'n': 20, 'trace_an': 0}
  • id: 26082507
    {'hecke_orbit_code': 9007199288295864, 'n': 21, 'trace_an': 0}
  • id: 26082508
    {'hecke_orbit_code': 9007199288295864, 'n': 22, 'trace_an': 0}
  • id: 26082509
    {'hecke_orbit_code': 9007199288295864, 'n': 23, 'trace_an': 4}
  • id: 26082510
    {'hecke_orbit_code': 9007199288295864, 'n': 24, 'trace_an': 0}
  • id: 26082511
    {'hecke_orbit_code': 9007199288295864, 'n': 25, 'trace_an': 1}
  • id: 26082512
    {'hecke_orbit_code': 9007199288295864, 'n': 26, 'trace_an': 0}
  • id: 26082513
    {'hecke_orbit_code': 9007199288295864, 'n': 27, 'trace_an': 0}
  • id: 26082514
    {'hecke_orbit_code': 9007199288295864, 'n': 28, 'trace_an': 0}
  • id: 26082515
    {'hecke_orbit_code': 9007199288295864, 'n': 29, 'trace_an': -2}
  • id: 26082516
    {'hecke_orbit_code': 9007199288295864, 'n': 30, 'trace_an': 0}
  • id: 26082517
    {'hecke_orbit_code': 9007199288295864, 'n': 31, 'trace_an': 8}
  • id: 26082518
    {'hecke_orbit_code': 9007199288295864, 'n': 32, 'trace_an': 0}
  • id: 26082519
    {'hecke_orbit_code': 9007199288295864, 'n': 33, 'trace_an': 0}
  • id: 26082520
    {'hecke_orbit_code': 9007199288295864, 'n': 34, 'trace_an': 0}
  • id: 26082521
    {'hecke_orbit_code': 9007199288295864, 'n': 35, 'trace_an': 4}
  • id: 26082522
    {'hecke_orbit_code': 9007199288295864, 'n': 36, 'trace_an': 0}
  • id: 26082523
    {'hecke_orbit_code': 9007199288295864, 'n': 37, 'trace_an': -10}
  • id: 26082524
    {'hecke_orbit_code': 9007199288295864, 'n': 38, 'trace_an': 0}
  • id: 26082525
    {'hecke_orbit_code': 9007199288295864, 'n': 39, 'trace_an': 0}
  • id: 26082526
    {'hecke_orbit_code': 9007199288295864, 'n': 40, 'trace_an': 0}
  • id: 26082527
    {'hecke_orbit_code': 9007199288295864, 'n': 41, 'trace_an': 10}
  • id: 26082528
    {'hecke_orbit_code': 9007199288295864, 'n': 42, 'trace_an': 0}
  • id: 26082529
    {'hecke_orbit_code': 9007199288295864, 'n': 43, 'trace_an': 0}
  • id: 26082530
    {'hecke_orbit_code': 9007199288295864, 'n': 44, 'trace_an': 0}
  • id: 26082531
    {'hecke_orbit_code': 9007199288295864, 'n': 45, 'trace_an': -3}
  • id: 26082532
    {'hecke_orbit_code': 9007199288295864, 'n': 46, 'trace_an': 0}
  • id: 26082533
    {'hecke_orbit_code': 9007199288295864, 'n': 47, 'trace_an': 4}
  • id: 26082534
    {'hecke_orbit_code': 9007199288295864, 'n': 48, 'trace_an': 0}
  • id: 26082535
    {'hecke_orbit_code': 9007199288295864, 'n': 49, 'trace_an': 9}
  • id: 26082536
    {'hecke_orbit_code': 9007199288295864, 'n': 50, 'trace_an': 0}
  • id: 26082537
    {'hecke_orbit_code': 9007199288295864, 'n': 51, 'trace_an': 0}
  • id: 26082538
    {'hecke_orbit_code': 9007199288295864, 'n': 52, 'trace_an': 0}
  • id: 26082539
    {'hecke_orbit_code': 9007199288295864, 'n': 53, 'trace_an': -10}
  • id: 26082540
    {'hecke_orbit_code': 9007199288295864, 'n': 54, 'trace_an': 0}
  • id: 26082541
    {'hecke_orbit_code': 9007199288295864, 'n': 55, 'trace_an': -1}
  • id: 26082542
    {'hecke_orbit_code': 9007199288295864, 'n': 56, 'trace_an': 0}
  • id: 26082543
    {'hecke_orbit_code': 9007199288295864, 'n': 57, 'trace_an': 0}
  • id: 26082544
    {'hecke_orbit_code': 9007199288295864, 'n': 58, 'trace_an': 0}
  • id: 26082545
    {'hecke_orbit_code': 9007199288295864, 'n': 59, 'trace_an': -4}
  • id: 26082546
    {'hecke_orbit_code': 9007199288295864, 'n': 60, 'trace_an': 0}
  • id: 26082547
    {'hecke_orbit_code': 9007199288295864, 'n': 61, 'trace_an': -2}
  • id: 26082548
    {'hecke_orbit_code': 9007199288295864, 'n': 62, 'trace_an': 0}
  • id: 26082549
    {'hecke_orbit_code': 9007199288295864, 'n': 63, 'trace_an': -12}
  • id: 26082550
    {'hecke_orbit_code': 9007199288295864, 'n': 64, 'trace_an': 0}
  • id: 26082551
    {'hecke_orbit_code': 9007199288295864, 'n': 65, 'trace_an': 6}
  • id: 26082552
    {'hecke_orbit_code': 9007199288295864, 'n': 66, 'trace_an': 0}
  • id: 26082553
    {'hecke_orbit_code': 9007199288295864, 'n': 67, 'trace_an': -8}
  • id: 26082554
    {'hecke_orbit_code': 9007199288295864, 'n': 68, 'trace_an': 0}
  • id: 26082555
    {'hecke_orbit_code': 9007199288295864, 'n': 69, 'trace_an': 0}
  • id: 26082556
    {'hecke_orbit_code': 9007199288295864, 'n': 70, 'trace_an': 0}
  • id: 26082557
    {'hecke_orbit_code': 9007199288295864, 'n': 71, 'trace_an': 0}
  • id: 26082558
    {'hecke_orbit_code': 9007199288295864, 'n': 72, 'trace_an': 0}
  • id: 26082559
    {'hecke_orbit_code': 9007199288295864, 'n': 73, 'trace_an': -14}
  • id: 26082560
    {'hecke_orbit_code': 9007199288295864, 'n': 74, 'trace_an': 0}
  • id: 26082561
    {'hecke_orbit_code': 9007199288295864, 'n': 75, 'trace_an': 0}
  • id: 26082562
    {'hecke_orbit_code': 9007199288295864, 'n': 76, 'trace_an': 0}
  • id: 26082563
    {'hecke_orbit_code': 9007199288295864, 'n': 77, 'trace_an': -4}
  • id: 26082564
    {'hecke_orbit_code': 9007199288295864, 'n': 78, 'trace_an': 0}
  • id: 26082565
    {'hecke_orbit_code': 9007199288295864, 'n': 79, 'trace_an': -16}
  • id: 26082566
    {'hecke_orbit_code': 9007199288295864, 'n': 80, 'trace_an': 0}
  • id: 26082567
    {'hecke_orbit_code': 9007199288295864, 'n': 81, 'trace_an': 9}
  • id: 26082568
    {'hecke_orbit_code': 9007199288295864, 'n': 82, 'trace_an': 0}
  • id: 26082569
    {'hecke_orbit_code': 9007199288295864, 'n': 83, 'trace_an': -8}
  • id: 26082570
    {'hecke_orbit_code': 9007199288295864, 'n': 84, 'trace_an': 0}
  • id: 26082571
    {'hecke_orbit_code': 9007199288295864, 'n': 85, 'trace_an': -6}
  • id: 26082572
    {'hecke_orbit_code': 9007199288295864, 'n': 86, 'trace_an': 0}
  • id: 26082573
    {'hecke_orbit_code': 9007199288295864, 'n': 87, 'trace_an': 0}
  • id: 26082574
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  • id: 26082575
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  • id: 26082576
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  • id: 26082577
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  • id: 26082578
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  • id: 26082579
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  • id: 26082580
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  • id: 26082581
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  • id: 26082582
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  • id: 26082583
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  • id: 26082584
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  • id: 26082585
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  • id: 26082586
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  • id: 26082587
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  • id: 26082588
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  • id: 26082589
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  • id: 26082590
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  • id: 26082591
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  • id: 26082592
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  • id: 26082593
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  • id: 26082594
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  • id: 26082595
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  • id: 26082596
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  • id: 26082597
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  • id: 26082598
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  • id: 26082599
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  • id: 26082600
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  • id: 26082601
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  • id: 26082602
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  • id: 26082603
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  • id: 26082604
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  • id: 26082605
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  • id: 26082606
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  • id: 26082607
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  • id: 26082608
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  • id: 26082609
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  • id: 26082610
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  • id: 26082611
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  • id: 26082612
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  • id: 26082613
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  • id: 26082614
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  • id: 26082615
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  • id: 26082616
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  • id: 26082617
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  • id: 26082618
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  • id: 26082619
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  • id: 26082620
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  • id: 26082621
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  • id: 26082622
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  • id: 26082623
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  • id: 26082624
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  • id: 26082625
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  • id: 26082626
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  • id: 26082627
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  • id: 26082628
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  • id: 26082629
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  • id: 26082630
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  • id: 26082631
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  • id: 26082632
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  • id: 26082633
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  • id: 26082634
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  • id: 26082635
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  • id: 26082636
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  • id: 26082637
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  • id: 26082638
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  • id: 26082639
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  • id: 26082640
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  • id: 26082641
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  • id: 26082642
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  • id: 26082643
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  • id: 26082644
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  • id: 26082645
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  • id: 26082646
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  • id: 26082647
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  • id: 26082648
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  • id: 26082649
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  • id: 26082650
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  • id: 26082651
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  • id: 26082652
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  • id: 26082653
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  • id: 26082654
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  • id: 26082655
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  • id: 26082656
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  • id: 26082657
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  • id: 26082658
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  • id: 26082659
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  • id: 26082660
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  • id: 26082661
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  • id: 26082662
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  • id: 26082663
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  • id: 26082664
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  • id: 26082665
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  • id: 26082666
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  • id: 26082667
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  • id: 26082668
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  • id: 26082669
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  • id: 26082670
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  • id: 26082671
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  • id: 26082672
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  • id: 26082673
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  • id: 26082674
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  • id: 26082675
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  • id: 26082676
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  • id: 26082677
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  • id: 26082678
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  • id: 26082679
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  • id: 26082680
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  • id: 26082681
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  • id: 26082682
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  • id: 26082683
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  • id: 26082684
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  • id: 26082685
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  • id: 26082686
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  • id: 26082687
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  • id: 26082688
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  • id: 26082689
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  • id: 26082690
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  • id: 26082691
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  • id: 26082692
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  • id: 26082693
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  • id: 26082694
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  • id: 26082695
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  • id: 26082696
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  • id: 26082697
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  • id: 26082698
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  • id: 26082699
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  • id: 26082700
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  • id: 26082701
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  • id: 26082702
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  • id: 26082703
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  • id: 26082704
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  • id: 26082705
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  • id: 26082706
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  • id: 26082707
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  • id: 26082708
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  • id: 26082709
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  • id: 26082710
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  • id: 26082711
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  • id: 26082712
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  • id: 26082713
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  • id: 26082714
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  • id: 26082715
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  • id: 26082716
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  • id: 26082717
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  • id: 26082718
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  • id: 26082719
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  • id: 26082720
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  • id: 26082721
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  • id: 26082722
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  • id: 26082723
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  • id: 26082724
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  • id: 26082725
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  • id: 26082726
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  • id: 26082727
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  • id: 26082728
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  • id: 26082729
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  • id: 26082730
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  • id: 26082731
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  • id: 26082732
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  • id: 26082733
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  • id: 26082734
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  • id: 26082735
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  • id: 26082736
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  • id: 26082737
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  • id: 26082738
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  • id: 26082739
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  • id: 26082740
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  • id: 26082741
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  • id: 26082742
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  • id: 26082743
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  • id: 26082744
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