Newform data - 110.2.a.d

Formats: - HTML - YAML - JSON - 2024-04-30T00:34:05.843268

• 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': 440, 'analytic_conductor': 0.8783544222340842, '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': [110, 1, [67, 101], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 33, 'field_disc_factorization': [[3, 1], [11, 1]], 'field_poly': [-8, -1, 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, [-8, 1, 1]], [7, [-8, -1, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510798915666030, 'hecke_ring_generator_nbound': 3, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '110.2.a.d', 'level': 110, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 5, 11], 'level_radical': 110, 'minimal_twist': '110.2.a.d', 'nf_label': '2.2.33.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}-\\beta q^{3}+q^{4}+q^{5}+\\beta q^{6}+\\beta q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '110.2.a', 'trace_display': [-2, -1, 2, 1], 'trace_hash': 1710774344816107042, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.896', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.818', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '56.979', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.012', 'prec': 17}, 'traces': [2, -2, -1, 2, 2, 1, 1, -2, 11, -2, -2, -1, 4, -1, -1, 2, -3, -11, 7, 2, -17, 2, -6, 1, 2, -4, -19, 1, -3, 1, 1, -2, 1, 3, 1, 11, 13, -7, -2, -2, 0, 17, -8, -2, 11, 6, -6, -1, 3, -2, -15, 4, 9, 19, -2, -1, 13, 3, 6, -1, -5, -1, 22, 2, 4, -1, 16, -3, -30, -1, 3, -11, -8, -13, -1, 7, -1, 2, -14, 2, 26, 0, 6, -17, -3, 8, -15, 2, 3, -11, 2, -6, -17, 6, 7, 1, -14, -3, -11, 2, 12, 15, 4, -4, -17, -9, -24, -19, -8, 2, -23, 1, 18, -13, -6, -3, 22, -6, 15, 1, 2, 5, 66, 1, 2, -22, 16, -2, 4, -4, 27, 1, -13, -16, -19, 3, 6, 30, -8, 1, -30, -3, -4, 11, -3, 8, -18, 13, 3, 1, 10, -7, 0, 1, 1, -2, 13, 14, 45, -2, 30, -26, -29, 0, 1, -6, -15, 17, -18, 3, 22, -8, -12, 15, 1, -2, 30, -3, -24, 11, -20, -2, 19, 6, 13, 17, 3, -6, -59, -7, 12, -1, 1, 14, -2, 3, -30, 11, 19, -2, -8, -12, 15, -15, 0, -4, 0, 4, -7, 17, -5, 9, -51, 24, -8, 19, 17, 8, 70, -2, -6, 23, -26, -1, 11, -18, 6, 13, -20, 6, 17, 3, -3, -22, -6, 6, -26, -15, -18, -1, -44, -2, -88, -5, 3, -66, 14, -1, 30, -2, -6, 22, 6, -16, -15, 2, 36, -4, 23, 4, 0, -27, -21, -1, 9, 13, 15, 16, -6, 19, -32, -3, -34, -6, -2, -30, -14, 8, 22, -1, 36, 30, 22, 3, 13, 4, -66, -11, -13, 3, 40, -8, 24, 18, 6, -13, 19, -3, -12, -1, -4, -10, -6, 7, -5, 0, 22, -1, 64, -1, 33, 2, -44, -13, 22, -14, 3, -45, 3, 2, 12, -30, -27, 26, 4, 29, 70, 0, 30, -1, 16, 6, 88, 15, 16, -17, 31, 18, 24, -3, -1, -22, 11, 8, -30, 12, -30, -15, 16, -1, -38, 2, -24, -30, 3, 3, 9, 24, 0, -11, 3, 20, -1, 2, -8, -19, -8, -6, -66, -13, -45, -17, 40, -3, -1, 6, -6, 59, 34, 7, -8, -12, 30, 1, -1, -1, -44, -14, 12, 2, 42, -3, -63, 30, -14, -11, 4, -19, -43, 2, 21, 8, 2, 12, 26, -15, -13, 15, -38, 0, -36, 4, -30, 0, 6, -4, 4, 7, -24, -17, -14, 5, 0, -9, -3, 51, -19, -24, 2, 8, -24, -19, -2, -17, -15, -8, -54, -70, -8, 2, 33, 6, 36, -23, 3, 26, -117, 1, 12, -11, 0, 18, 94, -6, 2, -13, 19, 20, -21, -6, 15, -17, 34, -3, -17, 3, -33, 22, 8, 6, -23, -6, 8, 26, 7, 15, 0, 18, -12, 1, 26, 44, 18, 2, -14, 88, 40, 5, -35, -3, -9, 66, 21, -14, -11, 1, 51, -30, -44, 2, -9, 6, -24, -22, 12, -6, 9, 16, 54, 15, -70, -2, -17, -36, 4, 4, 6, -23, 6, -4, 48, 0, 16, 27, -17, 21, 15, 1, 38, -9, 0, -13, 0, -15, -24, -16, 12, 6, -3, -19, -23, 32, 10, 3, -8, 34, 40, 6, -44, 2, -27, 30, 26, 14, -23, -8, -36, -22, -16, 1, 15, -36, 18, -30, 18, -22, 145, -3, -42, -13, 25, -4, 60, 66, -6, 11, 28, 13, -83, -3, -30, -40, -9, 8, 22, -24, 21, -18, -13, -6, 48, 13, -48, -19, 15, 3, -59, 12, -39, 1, -56, 4, 88, 10, 2, 6, -29, -7, 9, 5, -12, 0, 64, -22, 66, 1, 30, -64, -20, 1, -42, -33, -15, -2, 2, 44, -13, 13, -3, -22, 67, 14, -47, -3, 16, 45, 6, -3, 66, -2, 9, -12, -29, 30, 4, 27, -18, -26, -6, -4, -25, -29, 27, -70, 27, 0, -110, -30, -3, 1, 40, -16, -30, -6, -13, -88, 42, -15, 46, -16, 5, 17, 1, -31, -19, -18, 18, -24, -40, 3, 30, 1, -63, 22, 6, -11, 10, -8, 18, 30, 46, -12, -22, 30, -8, 15, -66, -16, -15, 1, -69, 38, 29, -2, -30, 24, 6, 30, -20, -3, -44, -3, 30, -9, -4, -24, 42, 0, 45, 11, -64, -3, 22, -20, -3, 1, -14, -2, 98, 8, 12, 19, 58, 8, -18, 6, -16, 66, 28, 13, 26, 45, -15, 17, 3, -40, 0, 3, -12, 1, -11, -6, -30, 6, 10, -59, 4, -34, 30, -7, -36, 8, -70, 12, 0, -30, 12, -1, -44, 1, -18, 1, -27, 44, 1, 14, -127, -12, 66, -2, -3, -42, -21, 3, 13, 63, -20, -30, 93, 14, -24, 11, -10, -4, 45, 19, 0, 43, 42, -2, 0, -21, 8, -8, 30, -2, 36, -12, 36, -26, 61, 15, 16, 13, -29, -15, -28, 38, 44, 0, 0, 36, -56, -4, 1, 30, 48, 0, -38, -6, 40, 4, 12, -4, -15, -7, -59, 24, 24, 17, -37, 14, -18, -5, -18, 0, 1, 9, 22, 3, -6, -51, -8, 19, 22, 24, 21, -2, -74, -8, 66, 24, 54, 19, -12, 2, 56, 17, 14, 15, 32, 8, -110, 54, 1, 70, 28, 8, -78, -2, 36, -33, 1, -6, 30, -36, 24, 23, 8, -3, -26, -26, -54, 117, -24, -1, -60, -12, 15, 11, -63, 0, 68, -18, -20, -94, -41, 6, 66, -2, -57, 13, -6, -19, 19, -20, 63, 21, -8, 6, 22, -15, 6, 17, 13, -34, -44, 3, -3, 17, -6, -3, -33, 33, 3, -22, -80, -8, 22, -6, 33, 23, -132, 6, -59, -8, 69, -26, -16, -7, 147, -15, 63, 0, 12, -18, 15, 12, 36, -1, -45, -26, -132, -44, 1, -18, 55, -2, -69, 14, -48, -88, -4, -40, -2, -5, -6, 35, -3, 3, -110, 9, 30, -66, -30, -21, 18, 14, 24, 11, 16, -1, -140, -51, 19, 30, 10, 44, -173, -2], '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], [-1, 0], [0, -1], [1, 0], [1, 0], [0, 1], [0, 1], [-1, 0], [5, 1], [-1, 0], [-1, 0], [0, -1], [2, 0], [0, -1], [0, -1], [1, 0], [-2, 1], [-5, -1], [4, -1], [1, 0], [-8, -1], [1, 0], [-4, 2], [0, 1], [1, 0], [-2, 0], [-8, -3], [0, 1], [-2, 1], [0, 1], [0, 1], [-1, 0], [0, 1], [2, -1], [0, 1], [5, 1], [6, 1], [-4, 1], [0, -2], [-1, 0], [2, -4], [8, 1], [-4, 0], [-1, 0], [5, 1], [4, -2], [-4, 2], [0, -1], [1, 1], [-1, 0], [-8, 1], [2, 0], [6, -3], [8, 3], [-1, 0], [0, -1], [8, -3], [2, -1], [4, -2], [0, -1], [-2, -1], [0, -1], [8, 6], [1, 0], [2, 0], [0, -1], [8, 0], [-2, 1], [-16, 2], [0, -1], [0, 3], [-5, -1], [-2, -4], [-6, -1], [0, -1], [4, -1], [0, -1], [0, 2], [-8, 2], [1, 0], [9, 8], [-2, 4], [4, -2], [-8, -1], [-2, 1], [4, 0], [-8, 1], [1, 0], [2, -1], [-5, -1], [0, 2], [-4, 2], [-8, -1], [4, -2], [4, -1], [0, 1], [-6, -2], [-1, -1], [-5, -1], [1, 0]], 'ap': [[-1, 0], [0, -1], [1, 0], [0, 1], [-1, 0], [2, 0], [-2, 1], [4, -1], [-4, 2], [-2, 1], [0, 1], [6, 1], [2, -4], [-4, 0], [-4, 2], [6, -3], [4, -2], [-2, -1], [8, 0], [0, 3], [-2, -4], [-8, 2], [4, -2], [2, -1], [-6, -2], [6, 0], [4, -4], [-12, 0], [-2, -4], [10, -2], [8, 0], [12, 3], [2, 2], [-4, 0], [-2, 7], [8, -6], [6, 1], [-16, 3], [-8, 1], [-6, 0], [-12, 0], [-10, 0], [8, -4], [-2, 5], [-14, -2], [8, 3], [-4, 3], [-12, -2], [4, -2], [-10, 0], [-2, 1], [-8, -2], [-22, 0], [-4, 2], [18, 0], [-8, -5], [-2, -2], [-16, 0], [-6, -2], [18, 0], [12, -2], [10, 4], [12, -2], [16, 1], [-22, 0], [6, -9], [4, 8], [14, 3], [-12, -6], [6, 4], [-14, 4], [0, 0], [-4, 0], [18, 4], [20, -6], [12, 6], [6, 0], [-2, 8], [10, 1], [-22, 6], [-12, 0], [-10, 6], [-8, -8], [-6, 10], [-8, 8], [16, 4], [2, 8], [14, -9], [6, 3], [20, -6], [-16, -1], [-8, 4], [20, 0], [-4, -1], [-20, -4], [-8, -8], [30, -6], [26, -4], [4, 8], [-10, -3], [20, 0], [-22, 8], [12, -6], [-22, 2], [12, 1], [10, 8], [8, 5], [-26, 4], [-16, -7], [-30, 4], [-16, 3], [34, -4], [18, -6], [-4, -12], [32, 3], [10, -11], [-16, 3], [-4, -10], [14, -1], [-4, 5], [22, -4], [-2, 5], [10, -2], [-32, 1], [20, 6], [-34, -1], [-10, 0], [24, -3], [-4, -6], [26, 6], [20, -12], [-8, 1], [-8, 5], [6, -8], [-22, 8], [-22, 0], [-10, -7], [-4, -12], [-2, 4], [18, 0], [28, 5], [-2, 4], [-28, 0], [20, 8], [-18, -2], [16, -8], [2, -12], [6, 9], [-36, -2], [28, -2], [10, 8], [18, 0], [0, 1], [16, -8], [-24, 7], [-32, 7], [-8, 8], [-6, 9], [-42, 4], [22, -11], [32, 5], [30, 3], [24, 7], [-28, 8], [-6, 6], [20, -10], [8, 0], [2, 6]], 'char_orbit_index': 1, 'field_poly': [-8, -1, 1], 'hecke_orbit_code': 13510798915666030, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '110.2.a.d', 'level': 110, 'maxp': 997, 'weight': 2}
• 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

  
  {'AL_dims': [[[[2, 1], [5, -1], [11, 1]], 2, 1], [[[2, 1], [5, 1], [11, -1]], 1, 1], [[[2, -1], [5, -1], [11, -1]], 1, 1], [[[2, -1], [5, 1], [11, 1]], 1, 1]], 'ALdims': [0, 1, 2, 0, 1, 0, 0, 1], 'Nk2': 440, 'analytic_conductor': 0.8783544222340842, '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': [110, 1, [67, 101], [1, 1]], 'conrey_index': 1, 'cusp_dim': 15, 'dim': 5, 'eis_dim': 7, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 33554542, 'hecke_orbit_dims': [1, 1, 1, 2], 'label': '110.2.a', 'level': 110, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 5, 11], 'level_radical': 110, 'mf_dim': 22, 'mf_new_dim': 5, 'num_forms': 4, 'plus_dim': 0, 'prim_orbit_index': 1, 'relative_dim': 5, 'sturm_bound': 36, 'trace_bound': 3, 'trace_display': [-1, 0, 1, 8], 'traces': [5, -1, 0, 5, 1, 0, 8, -1, 5, -1, -1, 0, 2, -4, -4, 5, -10, -13, 4, 1, -16, 1, -12, 0, 5, -10, -24, 8, -10, 0, -4, -1, 0, -10, 0, 5, 14, 4, 8, -1, 2, 8, 12, -1, 13, 12, 4, 0, 17, -1, -8, 2, 14, 24, -1, -4, 0, 2, -4, -4, 6, 8, 8, 5, -6, -4, 40, -10, -24, 8, 4, -13, -2, 2, 0, 4, 8, 8, 0, 1, 29, -10, -12, -16, -10, 12, -32, 1, -18, -13, -8, -12, -16, 4, 20, 0, -22, -25, -13, 5, -10, 16, -12, -10, -24, 2, -28, -24, -2, 5, -28, 8, 2, -12, -12, -10, 26, -4, 12, 0, 5, 18, 64, -4, 1, -16, -8, -1, 16, -10, 44, 0, -32, -8, -4, -10, 18, 48, -36, 0, -16, -8, -10, 5, 14, 10, -8, 14, 54, 0, 16, 4, 14, 0, 0, 8, 14, 48, 52, -1, -24, -25, 0, 2, 0, -12, 0, 8, -13, 2, 28, 12, 26, 4, 8, -1, 40, -42, -12, 13, -26, -32, 16, 12, 18, 32, 2, 4, -64, -8, 24, 0, 6, 14, 0, 17, -30, 13, -20, -1, 0, -22, 24, -8, 2, -12, 12, 2, -8, 20, -36, 14, -64, 20, -20, 24, -32, -14, 48, -1, 36, 32, -28, -4, 5, -58, 4, 0, -18, -12, 20, 2, 6, -10, -20, -4, -32, -48, -8, -4, -70, -1, -72, 6, -7, -80, -32, 8, 24, -1, -52, 8, -12, -8, -8, 5, 58, -8, -8, -6, 14, -4, 0, -4, 2, 64, 24, 40, -50, 24, 0, -10, -8, -18, -1, -24, -22, -12, 32, 8, 66, 32, -4, 4, 16, -6, -24, -13, 3, 14, 56, -2, 42, -8, -4, 2, 24, 18, 24, 0, 40, -8, -32, 4, -2, 26, 12, 8, 40, -16, 12, 8, -22, 2, 24, 0, -34, -32, 14, 1, -8, -24, -80, 29, 2, 48, 96, -10, 48, 0, 28, -12, 86, -12, 8, -16, 6, 41, 40, -10, -16, -44, 64, 12, -24, 14, 36, -32, 38, -4, -88, 1, -14, -8, 16, -18, 48, 60, -8, -13, 21, 58, 0, -8, 14, -20, 12, -12, -70, -22, -72, -16, 50, -10, -4, 4, -60, 104, 20, 20, -48, 24, 76, 0, -4, -42, -84, -22, 6, 8, 48, -25, -80, 30, -8, -13, -18, -80, -92, 5, 14, 0, 16, -10, 25, 24, -22, 16, -30, 14, 0, -12, -96, -12, 12, -10, 16, 20, 12, -24, -2, -36, -20, 2, -10, 32, -8, -28, 8, 12, -56, -24, -62, 4, -8, -2, -48, -96, -32, 5, 5, 36, 64, -28, -6, -4, -96, 8, -54, -13, 14, 2, 96, 28, -24, -12, 38, -6, -56, -12, 30, -24, 60, -10, -12, -42, -64, 26, 64, 4, -28, -4, 12, 40, 4, 12, -10, 16, -48, 0, 4, 62, 0, 5, -30, 72, 44, 18, -44, 23, 12, 64, 4, -32, -13, -4, 96, -24, 52, 1, 0, 20, -24, -16, 38, -12, -32, -8, 86, 28, -8, -1, 48, -26, 28, 16, 4, 16, 16, -10, 82, 2, -44, 44, -16, 60, 0, 0, 77, -22, 20, -32, -12, -24, -4, -8, 24, -14, 23, -4, -18, 24, 0, -10, -34, 40, 100, 18, -66, 1, 28, 48, -8, 14, -24, -36, -54, -40, -8, 0, 28, -66, 12, -16, 2, -52, 152, -8, -30, -24, -4, -10, 48, 48, -12, 5, 130, 45, -56, 14, -72, -16, -22, 10, 42, 6, 24, -8, 16, -28, 72, 14, -58, -4, -24, 54, -48, 72, 12, 0, -46, -32, 40, 16, 1, -8, -120, 4, -12, 6, 24, 14, 66, -12, 64, 0, -46, -80, 4, 0, -72, -24, 0, 8, 5, 38, -24, 14, -60, -40, 68, 48, -32, 2, 56, 52, 18, 14, 64, -1, -66, -32, 0, -24, -16, 16, -60, -25, -28, -10, -56, 0, -58, -72, 44, 2, -122, -72, -36, 0, 22, -20, -72, -12, 36, -118, -24, 0, 56, -8, 6, 8, 70, -66, -24, -13, 58, -32, -104, 2, 32, 0, -112, 28, -30, -68, -8, 12, 36, 24, -12, 26, -40, 36, -20, 4, -44, 26, -24, 8, -26, 8, 88, -1, -40, 22, 0, 40, -98, 16, -72, -42, 120, 0, -10, -12, 32, 16, 4, 13, -56, -45, 32, -26, -10, 0, -20, -32, 137, 34, -16, 16, 74, 36, -32, 12, -8, 86, 36, 18, 40, 48, -48, 32, -18, -34, 36, 2, 24, 0, 4, 4, -80, -36, 8, -64, 70, -100, 24, -8, -54, 0, -32, 24, 14, 52, 72, 0, -38, 8, 8, 6, 46, 36, -4, 14, -176, -54, 40, 0, 16, 0, 64, 17, 18, 52, 60, -30, 96, 0, 0, 13, -44, 18, 40, -20, 78, 64, 56, -1, 42, -34, 34, 0, 48, 40, 32, -22, -6, -25, 12, 24, 64, 18, -20, -8, -72, 54, 64, 2, 30, 48, -116, -12, 0, 24, 20, 12, -114, -12, 56, 2, 70, 16, -24, -8, -64, 12, 48, 20, -9, 10, 48, -36, 23, 4, 8, 14, 8, -10, 48, -64, -30, 40, -4, 20, 14, 0, -4, -20, 96, 40, 36, 24, -22, -2, 8, -32, 0, 16, 16, -14, -94, -24, 0, 48, 10, 16, -48, -1, 74, 11, -16, 36, 40, -32, 80, 32, -32, 6, -25, -28, -112, 108, -36, -4, -96, -18, -24, 5, -92, 2, 88, -58, -10, -96, -88, 4, 110, -8, -12, 0, -12, -34, 8, -18, 96, 16, -24, -12, 16, -6, -48, 20, 14, 36, -12, 2, -34, 8, -116, 6, -48, 80, -10, -10, 22, -32, 56, -20, 62, 32, -216, -4, -24, -20, 48, -32, -116, 4, 124, -48, 54, -22, 24, -8, 16, 48, 48, -4, -55, -20, -124, -70, -26, 24, 32, -1, -52, -10, -84, -72, -80, -52, 8, 6, -54, 16, 6, -7, -122, -36, 36, -80, -54, -20, 48, -32, 0, 5, -72, 8, -72, -36, 8, 24, -78, 52, -148, -1], '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: 95265
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '110.2.a.d', 'target_level': 110, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 95266
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '550.2.a.n', 'target_level': 550, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 95267
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '550.2.b.f', 'target_level': 550, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 95268
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '880.2.a.n', 'target_level': 880, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 95269
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '990.2.a.m', 'target_level': 990, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 95270
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '1210.2.a.r', 'target_level': 1210, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 95271
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 36, 'target_is_minimal': False, 'target_label': '3520.2.a.bj', 'target_level': 3520, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 95272
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '3520.2.a.bq', 'target_level': 3520, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 95273
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 38, 'target_is_minimal': False, 'target_label': '4400.2.a.bl', 'target_level': 4400, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 95274
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '4400.2.b.p', 'target_level': 4400, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 95275
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 49, 'target_is_minimal': False, 'target_label': '4950.2.a.bw', 'target_level': 4950, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 95276
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 29, 'target_is_minimal': False, 'target_label': '4950.2.c.bc', 'target_level': 4950, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 95277
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '5390.2.a.bp', 'target_level': 5390, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 95278
    {'conductor': 55, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 54, 'target_is_minimal': False, 'target_label': '6050.2.a.cb', 'target_level': 6050, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '55.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 95279
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '7920.2.a.bq', 'target_level': 7920, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 95280
    {'conductor': 44, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '110.2.a.d', 'source_level': 110, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 46, 'target_is_minimal': False, 'target_label': '9680.2.a.bt', 'target_level': 9680, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, '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: 315950
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 13510798915666030, 'p': 2}
  • id: 315951
    {'charpoly_factorization': [[[-8, 1, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 3}
  • id: 315952
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 13510798915666030, 'p': 5}
  • id: 315953
    {'charpoly_factorization': [[[-8, -1, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 7}
  • id: 315954
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 13510798915666030, 'p': 11}
  • id: 315955
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 13510798915666030, 'p': 13}
  • id: 315956
    {'charpoly_factorization': [[[-6, 3, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 17}
  • id: 315957
    {'charpoly_factorization': [[[4, -7, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 19}
  • id: 315958
    {'charpoly_factorization': [[[-24, 6, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 23}
  • id: 315959
    {'charpoly_factorization': [[[-6, 3, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 29}
  • id: 315960
    {'charpoly_factorization': [[[-8, -1, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 31}
  • id: 315961
    {'charpoly_factorization': [[[34, -13, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 37}
  • id: 315962
    {'charpoly_factorization': [[[-132, 0, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 41}
  • id: 315963
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 13510798915666030, 'p': 43}
  • id: 315964
    {'charpoly_factorization': [[[-24, 6, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 47}
  • id: 315965
    {'charpoly_factorization': [[[-54, -9, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 53}
  • id: 315966
    {'charpoly_factorization': [[[-24, -6, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 59}
  • id: 315967
    {'charpoly_factorization': [[[-2, 5, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 61}
  • id: 315968
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 13510798915666030, 'p': 67}
  • id: 315969
    {'charpoly_factorization': [[[-72, -3, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 71}
  • id: 315970
    {'charpoly_factorization': [[[-116, 8, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 73}
  • id: 315971
    {'charpoly_factorization': [[[16, 14, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 79}
  • id: 315972
    {'charpoly_factorization': [[[-24, -6, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 83}
  • id: 315973
    {'charpoly_factorization': [[[-6, -3, 1], 1]], 'hecke_orbit_code': 13510798915666030, 'p': 89}
  • id: 315974
    {'charpoly_factorization': [[[16, 14, 1], 1]], 'hecke_orbit_code': 13510798915666030, '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': 4, 'label': '110.2.a.d', 'level': 110, '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: 125625000
    {'hecke_orbit_code': 13510798915666030, 'n': 1, 'trace_an': 2}
  • id: 125625001
    {'hecke_orbit_code': 13510798915666030, 'n': 2, 'trace_an': -2}
  • id: 125625002
    {'hecke_orbit_code': 13510798915666030, 'n': 3, 'trace_an': -1}
  • id: 125625003
    {'hecke_orbit_code': 13510798915666030, 'n': 4, 'trace_an': 2}
  • id: 125625004
    {'hecke_orbit_code': 13510798915666030, 'n': 5, 'trace_an': 2}
  • id: 125625005
    {'hecke_orbit_code': 13510798915666030, 'n': 6, 'trace_an': 1}
  • id: 125625006
    {'hecke_orbit_code': 13510798915666030, 'n': 7, 'trace_an': 1}
  • id: 125625007
    {'hecke_orbit_code': 13510798915666030, 'n': 8, 'trace_an': -2}
  • id: 125625008
    {'hecke_orbit_code': 13510798915666030, 'n': 9, 'trace_an': 11}
  • id: 125625009
    {'hecke_orbit_code': 13510798915666030, 'n': 10, 'trace_an': -2}
  • id: 125625010
    {'hecke_orbit_code': 13510798915666030, 'n': 11, 'trace_an': -2}
  • id: 125625011
    {'hecke_orbit_code': 13510798915666030, 'n': 12, 'trace_an': -1}
  • id: 125625012
    {'hecke_orbit_code': 13510798915666030, 'n': 13, 'trace_an': 4}
  • id: 125625013
    {'hecke_orbit_code': 13510798915666030, 'n': 14, 'trace_an': -1}
  • id: 125625014
    {'hecke_orbit_code': 13510798915666030, 'n': 15, 'trace_an': -1}
  • id: 125625015
    {'hecke_orbit_code': 13510798915666030, 'n': 16, 'trace_an': 2}
  • id: 125625016
    {'hecke_orbit_code': 13510798915666030, 'n': 17, 'trace_an': -3}
  • id: 125625017
    {'hecke_orbit_code': 13510798915666030, 'n': 18, 'trace_an': -11}
  • id: 125625018
    {'hecke_orbit_code': 13510798915666030, 'n': 19, 'trace_an': 7}
  • id: 125625019
    {'hecke_orbit_code': 13510798915666030, 'n': 20, 'trace_an': 2}
  • id: 125625020
    {'hecke_orbit_code': 13510798915666030, 'n': 21, 'trace_an': -17}
  • id: 125625021
    {'hecke_orbit_code': 13510798915666030, 'n': 22, 'trace_an': 2}
  • id: 125625022
    {'hecke_orbit_code': 13510798915666030, 'n': 23, 'trace_an': -6}
  • id: 125625023
    {'hecke_orbit_code': 13510798915666030, 'n': 24, 'trace_an': 1}
  • id: 125625024
    {'hecke_orbit_code': 13510798915666030, 'n': 25, 'trace_an': 2}
  • id: 125625025
    {'hecke_orbit_code': 13510798915666030, 'n': 26, 'trace_an': -4}
  • id: 125625026
    {'hecke_orbit_code': 13510798915666030, 'n': 27, 'trace_an': -19}
  • id: 125625027
    {'hecke_orbit_code': 13510798915666030, 'n': 28, 'trace_an': 1}
  • id: 125625028
    {'hecke_orbit_code': 13510798915666030, 'n': 29, 'trace_an': -3}
  • id: 125625029
    {'hecke_orbit_code': 13510798915666030, 'n': 30, 'trace_an': 1}
  • id: 125625030
    {'hecke_orbit_code': 13510798915666030, 'n': 31, 'trace_an': 1}
  • id: 125625031
    {'hecke_orbit_code': 13510798915666030, 'n': 32, 'trace_an': -2}
  • id: 125625032
    {'hecke_orbit_code': 13510798915666030, 'n': 33, 'trace_an': 1}
  • id: 125625033
    {'hecke_orbit_code': 13510798915666030, 'n': 34, 'trace_an': 3}
  • id: 125625034
    {'hecke_orbit_code': 13510798915666030, 'n': 35, 'trace_an': 1}
  • id: 125625035
    {'hecke_orbit_code': 13510798915666030, 'n': 36, 'trace_an': 11}
  • id: 125625036
    {'hecke_orbit_code': 13510798915666030, 'n': 37, 'trace_an': 13}
  • id: 125625037
    {'hecke_orbit_code': 13510798915666030, 'n': 38, 'trace_an': -7}
  • id: 125625038
    {'hecke_orbit_code': 13510798915666030, 'n': 39, 'trace_an': -2}
  • id: 125625039
    {'hecke_orbit_code': 13510798915666030, 'n': 40, 'trace_an': -2}
  • id: 125625040
    {'hecke_orbit_code': 13510798915666030, 'n': 41, 'trace_an': 0}
  • id: 125625041
    {'hecke_orbit_code': 13510798915666030, 'n': 42, 'trace_an': 17}
  • id: 125625042
    {'hecke_orbit_code': 13510798915666030, 'n': 43, 'trace_an': -8}
  • id: 125625043
    {'hecke_orbit_code': 13510798915666030, 'n': 44, 'trace_an': -2}
  • id: 125625044
    {'hecke_orbit_code': 13510798915666030, 'n': 45, 'trace_an': 11}
  • id: 125625045
    {'hecke_orbit_code': 13510798915666030, 'n': 46, 'trace_an': 6}
  • id: 125625046
    {'hecke_orbit_code': 13510798915666030, 'n': 47, 'trace_an': -6}
  • id: 125625047
    {'hecke_orbit_code': 13510798915666030, 'n': 48, 'trace_an': -1}
  • id: 125625048
    {'hecke_orbit_code': 13510798915666030, 'n': 49, 'trace_an': 3}
  • id: 125625049
    {'hecke_orbit_code': 13510798915666030, 'n': 50, 'trace_an': -2}
  • id: 125625050
    {'hecke_orbit_code': 13510798915666030, 'n': 51, 'trace_an': -15}
  • id: 125625051
    {'hecke_orbit_code': 13510798915666030, 'n': 52, 'trace_an': 4}
  • id: 125625052
    {'hecke_orbit_code': 13510798915666030, 'n': 53, 'trace_an': 9}
  • id: 125625053
    {'hecke_orbit_code': 13510798915666030, 'n': 54, 'trace_an': 19}
  • id: 125625054
    {'hecke_orbit_code': 13510798915666030, 'n': 55, 'trace_an': -2}
  • id: 125625055
    {'hecke_orbit_code': 13510798915666030, 'n': 56, 'trace_an': -1}
  • id: 125625056
    {'hecke_orbit_code': 13510798915666030, 'n': 57, 'trace_an': 13}
  • id: 125625057
    {'hecke_orbit_code': 13510798915666030, 'n': 58, 'trace_an': 3}
  • id: 125625058
    {'hecke_orbit_code': 13510798915666030, 'n': 59, 'trace_an': 6}
  • id: 125625059
    {'hecke_orbit_code': 13510798915666030, 'n': 60, 'trace_an': -1}
  • id: 125625060
    {'hecke_orbit_code': 13510798915666030, 'n': 61, 'trace_an': -5}
  • id: 125625061
    {'hecke_orbit_code': 13510798915666030, 'n': 62, 'trace_an': -1}
  • id: 125625062
    {'hecke_orbit_code': 13510798915666030, 'n': 63, 'trace_an': 22}
  • id: 125625063
    {'hecke_orbit_code': 13510798915666030, 'n': 64, 'trace_an': 2}
  • id: 125625064
    {'hecke_orbit_code': 13510798915666030, 'n': 65, 'trace_an': 4}
  • id: 125625065
    {'hecke_orbit_code': 13510798915666030, 'n': 66, 'trace_an': -1}
  • id: 125625066
    {'hecke_orbit_code': 13510798915666030, 'n': 67, 'trace_an': 16}
  • id: 125625067
    {'hecke_orbit_code': 13510798915666030, 'n': 68, 'trace_an': -3}
  • id: 125625068
    {'hecke_orbit_code': 13510798915666030, 'n': 69, 'trace_an': -30}
  • id: 125625069
    {'hecke_orbit_code': 13510798915666030, 'n': 70, 'trace_an': -1}
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  • id: 125625215
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  • id: 125625219
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  • id: 125625357
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  • id: 125625364
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  • id: 125625365
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  • id: 125625389
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  • id: 125625390
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  • id: 125625393
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  • id: 125625394
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  • id: 125625395
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  • id: 125625396
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  • id: 125625397
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  • id: 125625399
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  • id: 125625400
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  • id: 125625401
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  • id: 125625402
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  • id: 125625404
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  • id: 125625407
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  • id: 125625408
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  • id: 125625409
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  • id: 125625410
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  • id: 125625411
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  • id: 125625412
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  • id: 125625413
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  • id: 125625414
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  • id: 125625415
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  • id: 125625416
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  • id: 125625417
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  • id: 125625418
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  • id: 125625420
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  • id: 125625421
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  • id: 125625422
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  • id: 125625424
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  • id: 125625425
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  • id: 125625426
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  • id: 125625427
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  • id: 125625428
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  • id: 125625429
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  • id: 125625430
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  • id: 125625432
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  • id: 125625436
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  • id: 125625439
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  • id: 125625440
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  • id: 125625832
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  • id: 125625834
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  • id: 125625835
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  • id: 125625836
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  • id: 125625837
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  • id: 125625838
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  • id: 125625839
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  • id: 125625840
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  • id: 125625843
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  • id: 125625844
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  • id: 125625845
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  • id: 125625847
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  • id: 125625848
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  • id: 125625851
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  • id: 125625852
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  • id: 125625853
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  • id: 125625854
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  • id: 125625855
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  • id: 125625856
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  • id: 125625857
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  • id: 125625858
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  • id: 125625859
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  • id: 125625860
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  • id: 125625861
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  • id: 125625862
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  • id: 125625863
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  • id: 125625864
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  • id: 125625865
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  • id: 125625866
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  • id: 125625867
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  • id: 125625868
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  • id: 125625869
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  • id: 125625870
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  • id: 125625871
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  • id: 125625872
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  • id: 125625873
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  • id: 125625874
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  • id: 125625875
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  • id: 125625876
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  • id: 125625877
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  • id: 125625878
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  • id: 125625879
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  • id: 125625880
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  • id: 125625881
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  • id: 125625882
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  • id: 125625883
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  • id: 125625884
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  • id: 125625885
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  • id: 125625886
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  • id: 125625887
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  • id: 125625888
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  • id: 125625889
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  • id: 125625890
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  • id: 125625891
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  • id: 125625892
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  • id: 125625893
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  • id: 125625894
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  • id: 125625895
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  • id: 125625896
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  • id: 125625897
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  • id: 125625898
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  • id: 125625899
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  • id: 125625900
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  • id: 125625901
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  • id: 125625902
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  • id: 125625903
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  • id: 125625904
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  • id: 125625905
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  • id: 125625906
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  • id: 125625907
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  • id: 125625908
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  • id: 125625909
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  • id: 125625910
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  • id: 125625911
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  • id: 125625912
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  • id: 125625913
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  • id: 125625914
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  • id: 125625915
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  • id: 125625916
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  • id: 125625917
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  • id: 125625918
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  • id: 125625919
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  • id: 125625920
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  • id: 125625921
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  • id: 125625922
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  • id: 125625923
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  • id: 125625924
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  • id: 125625925
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  • id: 125625926
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  • id: 125625927
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  • id: 125625928
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  • id: 125625929
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  • id: 125625930
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  • id: 125625931
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  • id: 125625932
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  • id: 125625933
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  • id: 125625934
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  • id: 125625935
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  • id: 125625936
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  • id: 125625937
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  • id: 125625938
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  • id: 125625939
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  • id: 125625940
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  • id: 125625941
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  • id: 125625942
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  • id: 125625943
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  • id: 125625944
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  • id: 125625945
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  • id: 125625946
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  • id: 125625947
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  • id: 125625948
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  • id: 125625949
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  • id: 125625950
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  • id: 125625951
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  • id: 125625952
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  • id: 125625953
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  • id: 125625954
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  • id: 125625955
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  • id: 125625956
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  • id: 125625957
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  • id: 125625958
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  • id: 125625959
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  • id: 125625960
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  • id: 125625961
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  • id: 125625962
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  • id: 125625963
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  • id: 125625964
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  • id: 125625965
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  • id: 125625966
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  • id: 125625967
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  • id: 125625968
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  • id: 125625969
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  • id: 125625970
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  • id: 125625971
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  • id: 125625972
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  • id: 125625973
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  • id: 125625974
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  • id: 125625975
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  • id: 125625976
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  • id: 125625977
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  • id: 125625978
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  • id: 125625979
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  • id: 125625980
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  • id: 125625981
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  • id: 125625982
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  • id: 125625983
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  • id: 125625984
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  • id: 125625985
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  • id: 125625986
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  • id: 125625987
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  • id: 125625988
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  • id: 125625989
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  • id: 125625990
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  • id: 125625991
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  • id: 125625992
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  • id: 125625993
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  • id: 125625994
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  • id: 125625995
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  • id: 125625996
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  • id: 125625997
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  • id: 125625998
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  • id: 125625999
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