Newform data - 220.2.a.a

Formats: - HTML - YAML - JSON - 2024-04-24T13:21:29.622796

• 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': 880, 'analytic_conductor': 1.7567088444681684, 'analytic_rank': 1, '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': [220, 1, [111, 177, 101], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [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, [2, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 33554652, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '220.2.a.a', 'level': 220, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 11], 'level_radical': 110, 'minimal_twist': '220.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{3}+q^{5}-4q^{7}+q^{9}-q^{11}-4q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/220/a'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '220.2.a', 'trace_display': [0, -2, 1, -4], 'trace_hash': 1906985016694371010, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.996', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.940', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.784', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, 'traces': [1, 0, -2, 0, 1, 0, -4, 0, 1, 0, -1, 0, -4, 0, -2, 0, 0, 0, -4, 0, 8, 0, -6, 0, 1, 0, 4, 0, -6, 0, 8, 0, 2, 0, -4, 0, 2, 0, 8, 0, 6, 0, 8, 0, 1, 0, 6, 0, 9, 0, 0, 0, -6, 0, -1, 0, 8, 0, -12, 0, 2, 0, -4, 0, -4, 0, -10, 0, 12, 0, -12, 0, -16, 0, -2, 0, 4, 0, 8, 0, -11, 0, 0, 0, 0, 0, 12, 0, 6, 0, 16, 0, -16, 0, -4, 0, 14, 0, -1, 0, -18, 0, 14, 0, 8, 0, -12, 0, -10, 0, -4, 0, 6, 0, -6, 0, -4, 0, 0, 0, 1, 0, -12, 0, 1, 0, -16, 0, -16, 0, 12, 0, 16, 0, 4, 0, 6, 0, -4, 0, -12, 0, 4, 0, -6, 0, -18, 0, -18, 0, 8, 0, 0, 0, 8, 0, -10, 0, 12, 0, 24, 0, 14, 0, 2, 0, 0, 0, 3, 0, -4, 0, 0, 0, -4, 0, 24, 0, 0, 0, -22, 0, -4, 0, 2, 0, 0, 0, -16, 0, -24, 0, 8, 0, 8, 0, 0, 0, 8, 0, 20, 0, 24, 0, 6, 0, -6, 0, 4, 0, 20, 0, 24, 0, 8, 0, -32, 0, 32, 0, 0, 0, 2, 0, 1, 0, 0, 0, 14, 0, -8, 0, -12, 0, 6, 0, -16, 0, 0, 0, -10, 0, 10, 0, 9, 0, 16, 0, 0, 0, 24, 0, 6, 0, 0, 0, 18, 0, -8, 0, -6, 0, -24, 0, -6, 0, -12, 0, -30, 0, -16, 0, -32, 0, -1, 0, 20, 0, 8, 0, -18, 0, 8, 0, 8, 0, -24, 0, -17, 0, -28, 0, 12, 0, -12, 0, -4, 0, 24, 0, -32, 0, 36, 0, 2, 0, -4, 0, -28, 0, -12, 0, 26, 0, -4, 0, 6, 0, 6, 0, 24, 0, 0, 0, -4, 0, 20, 0, -24, 0, -28, 0, 2, 0, -10, 0, -16, 0, -12, 0, -8, 0, -8, 0, 12, 0, 12, 0, 26, 0, -16, 0, 18, 0, -12, 0, 0, 0, 0, 0, -3, 0, -2, 0, -16, 0, -10, 0, 6, 0, 24, 0, -16, 0, -2, 0, 24, 0, 20, 0, 32, 0, -18, 0, 4, 0, 8, 0, 18, 0, 0, 0, -24, 0, 8, 0, -10, 0, -32, 0, 30, 0, -32, 0, -11, 0, -2, 0, 2, 0, -12, 0, 48, 0, 0, 0, 8, 0, -24, 0, -10, 0, 6, 0, 0, 0, -8, 0, -8, 0, -24, 0, 14, 0, 12, 0, 24, 0, 32, 0, 9, 0, -18, 0, 6, 0, 36, 0, 18, 0, -6, 0, -16, 0, 16, 0, -28, 0, 0, 0, 30, 0, -22, 0, -16, 0, -18, 0, 40, 0, 20, 0, -8, 0, -4, 0, -6, 0, 0, 0, -8, 0, -48, 0, 14, 0, -34, 0, -28, 0, 12, 0, 0, 0, -1, 0, 48, 0, 20, 0, 0, 0, 36, 0, -18, 0, -6, 0, 6, 0, 64, 0, -16, 0, 14, 0, -6, 0, 0, 0, 6, 0, -4, 0, 8, 0, 0, 0, 13, 0, -12, 0, -24, 0, -12, 0, 0, 0, -9, 0, 38, 0, 44, 0, -10, 0, 8, 0, 2, 0, 24, 0, -32, 0, -4, 0, 24, 0, -32, 0, 0, 0, -36, 0, 6, 0, 44, 0, 42, 0, 20, 0, 48, 0, -6, 0, 14, 0, -16, 0, 0, 0, 6, 0, -4, 0, -42, 0, -32, 0, 0, 0, -24, 0, 0, 0, -16, 0, -12, 0, 38, 0, -10, 0, 1, 0, -40, 0, -48, 0, -24, 0, -16, 0, -12, 0, -18, 0, 8, 0, -24, 0, -24, 0, 1, 0, -8, 0, 0, 0, 20, 0, -40, 0, -16, 0, -36, 0, -12, 0, -30, 0, 14, 0, -16, 0, 18, 0, 12, 0, 64, 0, 18, 0, 12, 0, -16, 0, -36, 0, -22, 0, 0, 0, 16, 0, 36, 0, -4, 0, -2, 0, 8, 0, 4, 0, -12, 0, -56, 0, 0, 0, -30, 0, 6, 0, -28, 0, 24, 0, 8, 0, 4, 0, -4, 0, 0, 0, 24, 0, -30, 0, -8, 0, -12, 0, 72, 0, 26, 0, 8, 0, -48, 0, 4, 0, 0, 0, 36, 0, -56, 0, 20, 0, -6, 0, 26, 0, 13, 0, 0, 0, 32, 0, -18, 0, 10, 0, 20, 0, -32, 0, 24, 0, -18, 0, 0, 0, 48, 0, -4, 0, -48, 0, 8, 0, -10, 0, -12, 0, 42, 0, 40, 0, 0, 0, 48, 0, -10, 0, -36, 0, -6, 0, 8, 0, 16, 0, -24, 0, 12, 0, -24, 0, -10, 0, -4, 0, 48, 0, -24, 0, -8, 0, 12, 0, -42, 0, 0, 0, 6, 0, 16, 0, 24, 0, 60, 0, 30, 0, -28, 0, 32, 0, 14, 0, -32, 0, 16, 0, -30, 0, -34, 0, 2, 0, -12, 0, -34, 0, -40, 0, 0, 0, 0, 0, 32, 0, 0, 0, 7, 0, 36, 0, 3, 0, -4, 0, -16, 0, -12, 0, 56, 0, -4, 0, 24, 0, 32, 0, 48, 0, 6, 0, 0, 0, 34, 0, -8, 0, 40, 0, 14, 0, -4, 0, 8, 0, -24, 0, -18, 0, -10, 0, 24, 0, -48, 0, 64, 0, 11, 0, -24, 0, 0, 0, -48, 0, -48, 0, 0, 0, 64, 0, -22, 0, -10, 0, -18, 0, 24, 0, 0, 0, -4, 0, -48, 0, 8, 0, 8, 0, 48, 0, 2, 0, 14, 0, -18, 0, -36, 0, 24, 0, 0, 0, -28, 0, -52, 0, -18, 0, -36, 0, -16, 0, 6, 0, 64, 0, -12, 0, -12, 0, -24, 0, -12, 0, -24, 0, 33, 0, -12, 0, 8, 0, 32, 0, 0, 0, -36, 0, 16, 0, 8, 0, -18, 0, -6, 0, -10, 0, 6, 0, 0, 0, 48, 0, -48, 0, -16, 0, 56, 0, 8, 0, 8, 0, 8, 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], [-2], [0], [1], [0], [-4], [0], [1], [0], [-1], [0], [-4], [0], [-2], [0], [0], [0], [-4], [0], [8], [0], [-6], [0], [1], [0], [4], [0], [-6], [0], [8], [0], [2], [0], [-4], [0], [2], [0], [8], [0], [6], [0], [8], [0], [1], [0], [6], [0], [9], [0], [0], [0], [-6], [0], [-1], [0], [8], [0], [-12], [0], [2], [0], [-4], [0], [-4], [0], [-10], [0], [12], [0], [-12], [0], [-16], [0], [-2], [0], [4], [0], [8], [0], [-11], [0], [0], [0], [0], [0], [12], [0], [6], [0], [16], [0], [-16], [0], [-4], [0], [14], [0], [-1], [0]], 'ap': [[0], [-2], [1], [-4], [-1], [-4], [0], [-4], [-6], [-6], [8], [2], [6], [8], [6], [-6], [-12], [2], [-10], [-12], [-16], [8], [0], [6], [14], [-18], [14], [-12], [-10], [6], [-16], [12], [6], [-4], [-18], [8], [-10], [14], [0], [0], [0], [-22], [-24], [8], [0], [8], [20], [2], [0], [14], [-12], [0], [-10], [24], [18], [-24], [-30], [-16], [20], [-18], [8], [12], [-4], [-12], [26], [6], [-28], [-16], [12], [26], [18], [0], [-10], [-16], [20], [-18], [18], [-10], [30], [2], [-24], [-10], [-24], [14], [32], [-18], [18], [-28], [30], [-22], [-18], [0], [-34], [12], [20], [36], [6], [6], [-4], [38], [8], [24], [-36], [42], [20], [14], [-42], [-24], [-12], [38], [-40], [-16], [-18], [8], [20], [-30], [14], [18], [18], [-36], [-22], [8], [-12], [-30], [8], [-30], [26], [36], [26], [32], [20], [24], [-4], [-10], [42], [-10], [-6], [-4], [-42], [30], [-28], [-30], [-34], [-12], [-34], [0], [56], [24], [32], [6], [8], [-18], [-10], [-48], [-10], [24], [8], [-18], [-28], [-18], [6], [-12], [32], [-36], [-18], [6], [-16], [8]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 33554652, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '220.2.a.a', 'level': 220, '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]], 1, 1], [[[2, -1], [5, -1], [11, 1]], 1, 1]], 'ALdims': [0, 0, 0, 0, 0, 0, 1, 1], 'Nk2': 880, 'analytic_conductor': 1.7567088444681684, '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': [220, 1, [111, 177, 101], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 31, 'dim': 2, 'eis_dim': 11, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 33554652, 'hecke_orbit_dims': [1, 1], 'label': '220.2.a', 'level': 220, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 11], 'level_radical': 110, 'mf_dim': 42, 'mf_new_dim': 2, 'num_forms': 2, 'plus_dim': 1, 'prim_orbit_index': 1, 'relative_dim': 2, 'sturm_bound': 72, 'trace_bound': 3, 'trace_display': [0, 0, 2, -4], 'traces': [2, 0, 0, 0, 2, 0, -4, 0, 2, 0, 0, 0, -4, 0, 0, 0, -4, 0, -8, 0, 8, 0, 0, 0, 2, 0, 0, 0, -4, 0, 8, 0, 4, 0, -4, 0, -4, 0, 8, 0, -4, 0, 12, 0, 2, 0, 16, 0, 2, 0, -8, 0, -4, 0, 0, 0, 0, 0, -16, 0, -12, 0, -4, 0, -4, 0, -8, 0, 24, 0, -8, 0, -20, 0, 0, 0, 4, 0, 0, 0, -22, 0, 12, 0, -4, 0, 16, 0, 12, 0, 16, 0, -16, 0, -8, 0, 20, 0, 0, 0, -4, 0, 24, 0, 8, 0, -4, 0, 4, 0, -16, 0, 20, 0, 0, 0, -4, 0, 0, 0, 2, 0, -32, 0, 2, 0, 4, 0, -8, 0, 32, 0, 16, 0, 0, 0, -12, 0, -24, 0, 8, 0, 4, 0, -4, 0, -32, 0, -12, 0, -8, 0, -4, 0, 8, 0, -4, 0, 16, 0, 24, 0, 0, 0, 4, 0, -12, 0, -10, 0, -8, 0, -4, 0, -4, 0, 16, 0, 0, 0, 4, 0, -32, 0, -4, 0, -4, 0, -16, 0, -24, 0, 12, 0, 8, 0, 12, 0, -8, 0, 24, 0, 24, 0, -4, 0, 0, 0, 0, 0, 48, 0, 32, 0, 12, 0, -32, 0, 24, 0, 0, 0, -16, 0, 2, 0, 4, 0, 12, 0, -8, 0, -36, 0, 16, 0, -32, 0, 16, 0, -4, 0, 0, 0, 2, 0, 16, 0, 24, 0, 32, 0, 12, 0, -8, 0, 4, 0, -8, 0, -4, 0, -36, 0, -4, 0, 0, 0, -44, 0, -24, 0, -32, 0, 0, 0, 44, 0, 8, 0, -36, 0, -4, 0, 0, 0, -24, 0, -18, 0, -16, 0, 12, 0, -16, 0, -8, 0, 24, 0, -32, 0, 64, 0, -12, 0, 12, 0, -8, 0, -24, 0, 20, 0, -4, 0, -4, 0, 8, 0, 40, 0, 16, 0, -4, 0, 48, 0, -24, 0, -32, 0, -4, 0, -8, 0, 12, 0, 16, 0, -8, 0, -8, 0, 24, 0, 12, 0, -4, 0, -16, 0, 52, 0, -8, 0, 0, 0, 16, 0, -6, 0, 0, 0, -20, 0, 0, 0, -4, 0, 24, 0, -52, 0, 0, 0, 24, 0, 32, 0, 72, 0, -56, 0, 4, 0, 12, 0, 36, 0, -24, 0, 16, 0, 0, 0, 12, 0, -32, 0, -4, 0, -32, 0, -22, 0, -8, 0, 12, 0, -48, 0, 48, 0, 12, 0, -32, 0, -48, 0, -20, 0, 16, 0, -4, 0, -8, 0, -8, 0, -8, 0, 52, 0, 16, 0, 0, 0, 16, 0, 2, 0, -32, 0, 12, 0, 48, 0, -12, 0, -16, 0, -48, 0, 16, 0, -52, 0, 16, 0, 12, 0, 0, 0, -16, 0, -40, 0, 40, 0, 32, 0, -4, 0, -8, 0, -4, 0, 0, 0, -8, 0, -48, 0, 20, 0, -64, 0, -56, 0, 48, 0, -8, 0, 0, 0, 48, 0, 16, 0, -24, 0, 36, 0, -4, 0, -32, 0, -4, 0, 64, 0, 0, 0, 24, 0, 4, 0, -8, 0, -20, 0, 4, 0, 8, 0, 0, 0, 26, 0, -16, 0, -24, 0, -4, 0, 0, 0, -16, 0, 60, 0, 96, 0, 4, 0, 4, 0, -12, 0, 16, 0, -32, 0, -16, 0, 12, 0, -32, 0, -8, 0, -12, 0, 20, 0, 44, 0, 60, 0, 32, 0, 48, 0, 0, 0, 52, 0, -8, 0, 0, 0, 8, 0, -4, 0, -72, 0, -32, 0, 24, 0, -52, 0, 0, 0, -48, 0, 24, 0, 44, 0, -8, 0, 2, 0, -12, 0, -48, 0, -24, 0, -36, 0, -32, 0, -28, 0, -32, 0, -48, 0, -24, 0, 2, 0, -16, 0, 24, 0, 8, 0, 16, 0, 4, 0, -36, 0, -8, 0, -12, 0, 48, 0, -8, 0, 24, 0, 8, 0, 64, 0, 44, 0, 32, 0, -20, 0, -24, 0, -44, 0, 0, 0, 16, 0, 48, 0, -40, 0, -16, 0, -20, 0, 0, 0, -20, 0, -56, 0, 8, 0, -40, 0, -12, 0, -32, 0, 24, 0, 0, 0, 4, 0, -24, 0, 40, 0, -24, 0, 4, 0, 16, 0, 8, 0, 72, 0, 52, 0, 0, 0, -48, 0, 4, 0, 32, 0, 40, 0, -56, 0, 32, 0, -4, 0, -8, 0, 26, 0, -16, 0, -4, 0, -32, 0, 12, 0, 72, 0, -32, 0, 60, 0, -12, 0, 12, 0, 48, 0, -8, 0, -32, 0, -8, 0, 28, 0, 0, 0, -12, 0, 40, 0, -4, 0, 48, 0, 4, 0, -64, 0, -20, 0, 8, 0, 16, 0, 16, 0, 16, 0, -32, 0, -4, 0, -36, 0, 24, 0, -24, 0, -8, 0, 16, 0, 12, 0, -40, 0, 12, 0, 12, 0, 24, 0, 32, 0, 84, 0, -48, 0, 16, 0, 0, 0, -48, 0, 16, 0, -12, 0, -56, 0, 4, 0, -4, 0, -36, 0, 8, 0, 28, 0, -12, 0, 32, 0, -24, 0, -18, 0, 0, 0, -10, 0, -4, 0, -40, 0, -48, 0, 12, 0, -8, 0, 44, 0, -16, 0, 48, 0, -24, 0, -4, 0, 32, 0, -16, 0, 40, 0, 20, 0, -4, 0, -20, 0, -24, 0, -4, 0, -16, 0, 16, 0, -76, 0, 64, 0, 0, 0, -64, 0, 0, 0, -48, 0, -48, 0, -8, 0, 64, 0, 4, 0, 8, 0, -4, 0, 24, 0, 12, 0, -32, 0, -48, 0, 0, 0, 40, 0, 48, 0, -4, 0, 24, 0, -52, 0, -8, 0, 0, 0, -4, 0, 28, 0, -64, 0, -4, 0, -96, 0, -16, 0, 24, 0, 64, 0, -32, 0, 12, 0, -24, 0, -8, 0, -24, 0, 2, 0, -4, 0, 12, 0, 20, 0, 32, 0, 0, 0, 16, 0, 8, 0, -12, 0, 0, 0, 4, 0, 24, 0, 12, 0, 48, 0, -24, 0, 24, 0, 48, 0, -8, 0, -36, 0, 32, 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: 177631
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '220.2.a.a', 'target_level': 220, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 177632
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '880.2.a.j', 'target_level': 880, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 177633
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1100.2.a.e', 'target_level': 1100, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 177634
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1100.2.b.a', 'target_level': 1100, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 177635
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1980.2.a.a', 'target_level': 1980, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 177636
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '2420.2.a.b', 'target_level': 2420, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 177637
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '3520.2.a.d', 'target_level': 3520, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 177638
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '3520.2.a.bd', 'target_level': 3520, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 177639
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '4400.2.a.e', 'target_level': 4400, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 177640
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '4400.2.b.f', 'target_level': 4400, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 177641
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '7920.2.a.o', 'target_level': 7920, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 177642
    {'conductor': 44, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '9680.2.a.bb', 'target_level': 9680, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '44.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 177643
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '9900.2.a.bd', 'target_level': 9900, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 177644
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '220.2.a.a', 'source_level': 220, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '9900.2.c.m', 'target_level': 9900, 'twist_class_label': '220.2.a.a', 'twist_class_level': 220, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 523925
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 2}
  • id: 523926
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 3}
  • id: 523927
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 5}
  • id: 523928
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 7}
  • id: 523929
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 11}
  • id: 523930
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 13}
  • id: 523931
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 17}
  • id: 523932
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 19}
  • id: 523933
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 23}
  • id: 523934
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 29}
  • id: 523935
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 31}
  • id: 523936
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 37}
  • id: 523937
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 41}
  • id: 523938
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 43}
  • id: 523939
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 47}
  • id: 523940
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 53}
  • id: 523941
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 59}
  • id: 523942
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 61}
  • id: 523943
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 67}
  • id: 523944
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 71}
  • id: 523945
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 73}
  • id: 523946
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 79}
  • id: 523947
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 83}
  • id: 523948
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 33554652, 'p': 89}
  • id: 523949
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 33554652, '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': 1, 'label': '220.2.a.a', 'level': 220, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 201000
    {'hecke_orbit_code': 33554652, 'n': 1, 'trace_an': 1}
  • id: 201001
    {'hecke_orbit_code': 33554652, 'n': 2, 'trace_an': 0}
  • id: 201002
    {'hecke_orbit_code': 33554652, 'n': 3, 'trace_an': -2}
  • id: 201003
    {'hecke_orbit_code': 33554652, 'n': 4, 'trace_an': 0}
  • id: 201004
    {'hecke_orbit_code': 33554652, 'n': 5, 'trace_an': 1}
  • id: 201005
    {'hecke_orbit_code': 33554652, 'n': 6, 'trace_an': 0}
  • id: 201006
    {'hecke_orbit_code': 33554652, 'n': 7, 'trace_an': -4}
  • id: 201007
    {'hecke_orbit_code': 33554652, 'n': 8, 'trace_an': 0}
  • id: 201008
    {'hecke_orbit_code': 33554652, 'n': 9, 'trace_an': 1}
  • id: 201009
    {'hecke_orbit_code': 33554652, 'n': 10, 'trace_an': 0}
  • id: 201010
    {'hecke_orbit_code': 33554652, 'n': 11, 'trace_an': -1}
  • id: 201011
    {'hecke_orbit_code': 33554652, 'n': 12, 'trace_an': 0}
  • id: 201012
    {'hecke_orbit_code': 33554652, 'n': 13, 'trace_an': -4}
  • id: 201013
    {'hecke_orbit_code': 33554652, 'n': 14, 'trace_an': 0}
  • id: 201014
    {'hecke_orbit_code': 33554652, 'n': 15, 'trace_an': -2}
  • id: 201015
    {'hecke_orbit_code': 33554652, 'n': 16, 'trace_an': 0}
  • id: 201016
    {'hecke_orbit_code': 33554652, 'n': 17, 'trace_an': 0}
  • id: 201017
    {'hecke_orbit_code': 33554652, 'n': 18, 'trace_an': 0}
  • id: 201018
    {'hecke_orbit_code': 33554652, 'n': 19, 'trace_an': -4}
  • id: 201019
    {'hecke_orbit_code': 33554652, 'n': 20, 'trace_an': 0}
  • id: 201020
    {'hecke_orbit_code': 33554652, 'n': 21, 'trace_an': 8}
  • id: 201021
    {'hecke_orbit_code': 33554652, 'n': 22, 'trace_an': 0}
  • id: 201022
    {'hecke_orbit_code': 33554652, 'n': 23, 'trace_an': -6}
  • id: 201023
    {'hecke_orbit_code': 33554652, 'n': 24, 'trace_an': 0}
  • id: 201024
    {'hecke_orbit_code': 33554652, 'n': 25, 'trace_an': 1}
  • id: 201025
    {'hecke_orbit_code': 33554652, 'n': 26, 'trace_an': 0}
  • id: 201026
    {'hecke_orbit_code': 33554652, 'n': 27, 'trace_an': 4}
  • id: 201027
    {'hecke_orbit_code': 33554652, 'n': 28, 'trace_an': 0}
  • id: 201028
    {'hecke_orbit_code': 33554652, 'n': 29, 'trace_an': -6}
  • id: 201029
    {'hecke_orbit_code': 33554652, 'n': 30, 'trace_an': 0}
  • id: 201030
    {'hecke_orbit_code': 33554652, 'n': 31, 'trace_an': 8}
  • id: 201031
    {'hecke_orbit_code': 33554652, 'n': 32, 'trace_an': 0}
  • id: 201032
    {'hecke_orbit_code': 33554652, 'n': 33, 'trace_an': 2}
  • id: 201033
    {'hecke_orbit_code': 33554652, 'n': 34, 'trace_an': 0}
  • id: 201034
    {'hecke_orbit_code': 33554652, 'n': 35, 'trace_an': -4}
  • id: 201035
    {'hecke_orbit_code': 33554652, 'n': 36, 'trace_an': 0}
  • id: 201036
    {'hecke_orbit_code': 33554652, 'n': 37, 'trace_an': 2}
  • id: 201037
    {'hecke_orbit_code': 33554652, 'n': 38, 'trace_an': 0}
  • id: 201038
    {'hecke_orbit_code': 33554652, 'n': 39, 'trace_an': 8}
  • id: 201039
    {'hecke_orbit_code': 33554652, 'n': 40, 'trace_an': 0}
  • id: 201040
    {'hecke_orbit_code': 33554652, 'n': 41, 'trace_an': 6}
  • id: 201041
    {'hecke_orbit_code': 33554652, 'n': 42, 'trace_an': 0}
  • id: 201042
    {'hecke_orbit_code': 33554652, 'n': 43, 'trace_an': 8}
  • id: 201043
    {'hecke_orbit_code': 33554652, 'n': 44, 'trace_an': 0}
  • id: 201044
    {'hecke_orbit_code': 33554652, 'n': 45, 'trace_an': 1}
  • id: 201045
    {'hecke_orbit_code': 33554652, 'n': 46, 'trace_an': 0}
  • id: 201046
    {'hecke_orbit_code': 33554652, 'n': 47, 'trace_an': 6}
  • id: 201047
    {'hecke_orbit_code': 33554652, 'n': 48, 'trace_an': 0}
  • id: 201048
    {'hecke_orbit_code': 33554652, 'n': 49, 'trace_an': 9}
  • id: 201049
    {'hecke_orbit_code': 33554652, 'n': 50, 'trace_an': 0}
  • id: 201050
    {'hecke_orbit_code': 33554652, 'n': 51, 'trace_an': 0}
  • id: 201051
    {'hecke_orbit_code': 33554652, 'n': 52, 'trace_an': 0}
  • id: 201052
    {'hecke_orbit_code': 33554652, 'n': 53, 'trace_an': -6}
  • id: 201053
    {'hecke_orbit_code': 33554652, 'n': 54, 'trace_an': 0}
  • id: 201054
    {'hecke_orbit_code': 33554652, 'n': 55, 'trace_an': -1}
  • id: 201055
    {'hecke_orbit_code': 33554652, 'n': 56, 'trace_an': 0}
  • id: 201056
    {'hecke_orbit_code': 33554652, 'n': 57, 'trace_an': 8}
  • id: 201057
    {'hecke_orbit_code': 33554652, 'n': 58, 'trace_an': 0}
  • id: 201058
    {'hecke_orbit_code': 33554652, 'n': 59, 'trace_an': -12}
  • id: 201059
    {'hecke_orbit_code': 33554652, 'n': 60, 'trace_an': 0}
  • id: 201060
    {'hecke_orbit_code': 33554652, 'n': 61, 'trace_an': 2}
  • id: 201061
    {'hecke_orbit_code': 33554652, 'n': 62, 'trace_an': 0}
  • id: 201062
    {'hecke_orbit_code': 33554652, 'n': 63, 'trace_an': -4}
  • id: 201063
    {'hecke_orbit_code': 33554652, 'n': 64, 'trace_an': 0}
  • id: 201064
    {'hecke_orbit_code': 33554652, 'n': 65, 'trace_an': -4}
  • id: 201065
    {'hecke_orbit_code': 33554652, 'n': 66, 'trace_an': 0}
  • id: 201066
    {'hecke_orbit_code': 33554652, 'n': 67, 'trace_an': -10}
  • id: 201067
    {'hecke_orbit_code': 33554652, 'n': 68, 'trace_an': 0}
  • id: 201068
    {'hecke_orbit_code': 33554652, 'n': 69, 'trace_an': 12}
  • id: 201069
    {'hecke_orbit_code': 33554652, 'n': 70, 'trace_an': 0}
  • id: 201070
    {'hecke_orbit_code': 33554652, 'n': 71, 'trace_an': -12}
  • id: 201071
    {'hecke_orbit_code': 33554652, 'n': 72, 'trace_an': 0}
  • id: 201072
    {'hecke_orbit_code': 33554652, 'n': 73, 'trace_an': -16}
  • id: 201073
    {'hecke_orbit_code': 33554652, 'n': 74, 'trace_an': 0}
  • id: 201074
    {'hecke_orbit_code': 33554652, 'n': 75, 'trace_an': -2}
  • id: 201075
    {'hecke_orbit_code': 33554652, 'n': 76, 'trace_an': 0}
  • id: 201076
    {'hecke_orbit_code': 33554652, 'n': 77, 'trace_an': 4}
  • id: 201077
    {'hecke_orbit_code': 33554652, 'n': 78, 'trace_an': 0}
  • id: 201078
    {'hecke_orbit_code': 33554652, 'n': 79, 'trace_an': 8}
  • id: 201079
    {'hecke_orbit_code': 33554652, 'n': 80, 'trace_an': 0}
  • id: 201080
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  • id: 201081
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  • id: 201082
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  • id: 201083
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  • id: 201084
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  • id: 201085
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  • id: 201086
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  • id: 201087
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  • id: 201088
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  • id: 201089
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  • id: 201090
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  • id: 201091
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  • id: 201092
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  • id: 201093
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  • id: 201094
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  • id: 201095
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  • id: 201096
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  • id: 201097
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  • id: 201098
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  • id: 201099
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  • id: 201100
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  • id: 201101
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  • id: 201102
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  • id: 201103
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  • id: 201104
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  • id: 201105
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  • id: 201106
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  • id: 201107
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  • id: 201108
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  • id: 201109
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  • id: 201110
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  • id: 201111
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  • id: 201112
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  • id: 201113
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  • id: 201114
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  • id: 201115
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  • id: 201116
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  • id: 201117
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  • id: 201118
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  • id: 201119
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  • id: 201120
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  • id: 201121
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  • id: 201122
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  • id: 201123
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  • id: 201124
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  • id: 201125
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  • id: 201126
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  • id: 201127
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  • id: 201128
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  • id: 201129
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  • id: 201130
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  • id: 201131
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  • id: 201132
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  • id: 201133
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  • id: 201134
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  • id: 201135
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  • id: 201136
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  • id: 201137
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  • id: 201138
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  • id: 201139
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  • id: 201140
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  • id: 201141
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  • id: 201142
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  • id: 201143
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  • id: 201144
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  • id: 201145
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  • id: 201146
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  • id: 201147
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  • id: 201148
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  • id: 201149
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  • id: 201150
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  • id: 201151
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  • id: 201152
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  • id: 201153
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  • id: 201154
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  • id: 201155
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  • id: 201156
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  • id: 201157
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  • id: 201158
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  • id: 201159
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  • id: 201160
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  • id: 201161
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  • id: 201162
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  • id: 201163
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  • id: 201164
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  • id: 201165
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  • id: 201166
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  • id: 201167
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  • id: 201168
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  • id: 201169
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  • id: 201170
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  • id: 201171
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  • id: 201172
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  • id: 201173
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  • id: 201174
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  • id: 201175
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  • id: 201176
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  • id: 201177
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  • id: 201178
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  • id: 201179
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  • id: 201180
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  • id: 201181
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  • id: 201182
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  • id: 201183
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  • id: 201184
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  • id: 201185
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  • id: 201186
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  • id: 201187
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  • id: 201188
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  • id: 201189
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  • id: 201190
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  • id: 201191
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  • id: 201192
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  • id: 201193
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  • id: 201194
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  • id: 201195
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  • id: 201196
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  • id: 201197
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  • id: 201198
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  • id: 201199
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  • id: 201200
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  • id: 201201
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  • id: 201202
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  • id: 201203
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  • id: 201204
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  • id: 201205
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  • id: 201206
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  • id: 201207
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  • id: 201208
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  • id: 201209
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  • id: 201210
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  • id: 201211
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  • id: 201212
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  • id: 201213
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  • id: 201214
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  • id: 201215
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  • id: 201216
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  • id: 201217
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  • id: 201218
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  • id: 201219
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  • id: 201220
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  • id: 201221
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  • id: 201222
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  • id: 201223
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  • id: 201224
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  • id: 201225
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  • id: 201226
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  • id: 201227
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  • id: 201228
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  • id: 201229
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  • id: 201230
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  • id: 201231
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  • id: 201232
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  • id: 201233
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  • id: 201234
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  • id: 201235
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  • id: 201236
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  • id: 201237
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  • id: 201238
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  • id: 201239
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  • id: 201240
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  • id: 201241
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  • id: 201242
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  • id: 201243
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  • id: 201244
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  • id: 201245
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  • id: 201246
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  • id: 201247
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  • id: 201248
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  • id: 201249
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  • id: 201250
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  • id: 201251
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  • id: 201252
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  • id: 201253
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  • id: 201254
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  • id: 201255
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  • id: 201256
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  • id: 201257
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  • id: 201258
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  • id: 201259
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  • id: 201260
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  • id: 201261
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  • id: 201262
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  • id: 201263
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  • id: 201264
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  • id: 201265
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  • id: 201266
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  • id: 201267
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  • id: 201268
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  • id: 201269
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  • id: 201270
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  • id: 201271
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  • id: 201272
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  • id: 201273
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  • id: 201274
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  • id: 201275
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  • id: 201276
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  • id: 201277
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  • id: 201278
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  • id: 201279
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  • id: 201280
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  • id: 201281
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  • id: 201282
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  • id: 201283
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  • id: 201284
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  • id: 201285
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  • id: 201286
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  • id: 201287
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  • id: 201288
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  • id: 201289
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  • id: 201290
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  • id: 201291
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  • id: 201292
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  • id: 201293
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  • id: 201294
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  • id: 201295
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  • id: 201296
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  • id: 201297
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  • id: 201298
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  • id: 201299
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  • id: 201300
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  • id: 201301
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  • id: 201302
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  • id: 201303
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  • id: 201304
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  • id: 201305
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  • id: 201306
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  • id: 201307
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  • id: 201308
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  • id: 201309
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  • id: 201310
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  • id: 201311
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  • id: 201430
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  • id: 201432
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  • id: 201769
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  • id: 201770
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  • id: 201771
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  • id: 201772
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  • id: 201773
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  • id: 201774
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  • id: 201775
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  • id: 201776
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  • id: 201777
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  • id: 201778
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  • id: 201779
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  • id: 201780
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  • id: 201781
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  • id: 201782
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  • id: 201783
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  • id: 201784
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  • id: 201785
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  • id: 201786
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  • id: 201787
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  • id: 201788
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  • id: 201789
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  • id: 201790
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  • id: 201791
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  • id: 201792
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  • id: 201793
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  • id: 201794
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  • id: 201795
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  • id: 201796
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  • id: 201797
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  • id: 201798
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  • id: 201799
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  • id: 201800
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  • id: 201801
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  • id: 201802
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  • id: 201803
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  • id: 201804
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  • id: 201805
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  • id: 201806
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  • id: 201807
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  • id: 201808
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  • id: 201809
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  • id: 201810
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  • id: 201811
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  • id: 201812
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  • id: 201813
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  • id: 201814
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  • id: 201815
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  • id: 201816
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  • id: 201817
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  • id: 201818
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  • id: 201819
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  • id: 201820
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  • id: 201821
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  • id: 201822
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  • id: 201823
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  • id: 201824
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  • id: 201825
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  • id: 201826
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  • id: 201827
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  • id: 201828
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  • id: 201829
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  • id: 201830
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  • id: 201831
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  • id: 201832
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  • id: 201833
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  • id: 201834
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  • id: 201835
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  • id: 201836
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  • id: 201837
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  • id: 201838
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  • id: 201839
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  • id: 201840
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  • id: 201841
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  • id: 201842
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  • id: 201843
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  • id: 201844
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  • id: 201845
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  • id: 201846
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  • id: 201847
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  • id: 201848
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  • id: 201849
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  • id: 201850
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  • id: 201851
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  • id: 201852
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  • id: 201853
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  • id: 201854
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  • id: 201855
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  • id: 201856
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  • id: 201857
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  • id: 201858
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  • id: 201859
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  • id: 201860
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  • id: 201861
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  • id: 201862
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  • id: 201863
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  • id: 201864
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  • id: 201865
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  • id: 201866
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  • id: 201867
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  • id: 201868
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  • id: 201869
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  • id: 201870
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  • id: 201871
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  • id: 201872
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  • id: 201873
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  • id: 201874
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  • id: 201875
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  • id: 201876
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  • id: 201877
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  • id: 201878
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  • id: 201879
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  • id: 201880
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  • id: 201881
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  • id: 201882
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  • id: 201883
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  • id: 201884
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  • id: 201885
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  • id: 201886
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  • id: 201887
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  • id: 201888
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  • id: 201889
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  • id: 201890
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  • id: 201891
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  • id: 201892
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  • id: 201893
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  • id: 201894
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  • id: 201895
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  • id: 201896
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  • id: 201897
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  • id: 201898
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  • id: 201899
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  • id: 201900
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  • id: 201901
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  • id: 201902
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  • id: 201903
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  • id: 201904
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  • id: 201905
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  • id: 201906
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  • id: 201907
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  • id: 201908
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  • id: 201909
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  • id: 201910
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  • id: 201911
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  • id: 201912
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  • id: 201913
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  • id: 201914
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  • id: 201915
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  • id: 201916
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  • id: 201917
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  • id: 201918
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  • id: 201919
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  • id: 201920
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  • id: 201921
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  • id: 201922
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  • id: 201923
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  • id: 201924
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  • id: 201925
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  • id: 201926
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  • id: 201927
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  • id: 201928
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  • id: 201929
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  • id: 201930
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  • id: 201931
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  • id: 201932
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  • id: 201933
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  • id: 201934
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  • id: 201935
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  • id: 201936
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  • id: 201937
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  • id: 201938
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  • id: 201939
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  • id: 201940
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  • id: 201941
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  • id: 201942
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  • id: 201943
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  • id: 201944
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  • id: 201945
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  • id: 201946
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  • id: 201947
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  • id: 201948
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  • id: 201949
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  • id: 201950
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  • id: 201951
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  • id: 201952
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  • id: 201954
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  • id: 201955
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  • id: 201956
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  • id: 201957
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  • id: 201958
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  • id: 201959
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  • id: 201960
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  • id: 201961
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  • id: 201962
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  • id: 201964
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  • id: 201966
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  • id: 201967
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  • id: 201972
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  • id: 201973
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  • id: 201974
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  • id: 201975
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  • id: 201976
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  • id: 201986
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  • id: 201988
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    {'hecke_orbit_code': 33554652, 'n': 994, 'trace_an': 0}
  • id: 201994
    {'hecke_orbit_code': 33554652, 'n': 995, 'trace_an': 8}
  • id: 201995
    {'hecke_orbit_code': 33554652, 'n': 996, 'trace_an': 0}
  • id: 201996
    {'hecke_orbit_code': 33554652, 'n': 997, 'trace_an': 8}
  • id: 201997
    {'hecke_orbit_code': 33554652, 'n': 998, 'trace_an': 0}
  • id: 201998
    {'hecke_orbit_code': 33554652, 'n': 999, 'trace_an': 8}
  • id: 201999
    {'hecke_orbit_code': 33554652, 'n': 1000, 'trace_an': 0}