Newform data - 160.2.a.b

Formats: - HTML - YAML - JSON - 2024-06-07T12:14:37.788087

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 640, 'analytic_conductor': 1.277606432340486, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 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': [160, 1, [31, 101, 97], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-2, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660925088, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '160.2.a.b', 'level': 160, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '160.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{3}-q^{5}+2q^{7}+q^{9}+4q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/160/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '160.2.a', 'trace_display': [0, 2, -1, 2], 'trace_hash': 1864489547228487473, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.008', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.968', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.906', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.748', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, 'traces': [1, 0, 2, 0, -1, 0, 2, 0, 1, 0, 4, 0, -6, 0, -2, 0, 2, 0, -8, 0, 4, 0, 6, 0, 1, 0, -4, 0, -2, 0, -4, 0, 8, 0, -2, 0, 2, 0, -12, 0, -10, 0, 2, 0, -1, 0, 2, 0, -3, 0, 4, 0, 2, 0, -4, 0, -16, 0, 0, 0, 2, 0, 2, 0, 6, 0, 6, 0, 12, 0, 12, 0, 10, 0, 2, 0, 8, 0, 8, 0, -11, 0, 10, 0, -2, 0, -4, 0, -6, 0, -12, 0, -8, 0, 8, 0, 10, 0, 4, 0, 14, 0, -2, 0, -4, 0, 6, 0, -14, 0, 4, 0, -6, 0, -6, 0, -6, 0, 4, 0, 5, 0, -20, 0, -1, 0, -6, 0, 4, 0, -4, 0, -16, 0, 4, 0, 2, 0, 16, 0, 4, 0, -24, 0, 2, 0, -6, 0, 10, 0, -20, 0, 2, 0, 4, 0, 10, 0, 4, 0, 12, 0, -6, 0, -8, 0, -14, 0, 23, 0, -8, 0, -6, 0, 2, 0, 0, 0, 0, 0, -18, 0, 4, 0, -2, 0, 8, 0, -8, 0, 4, 0, 2, 0, 12, 0, -22, 0, 16, 0, 12, 0, -4, 0, 10, 0, 6, 0, -32, 0, -4, 0, 24, 0, -2, 0, -8, 0, 20, 0, -12, 0, -2, 0, 1, 0, -18, 0, -10, 0, 16, 0, 2, 0, -2, 0, 16, 0, 8, 0, -18, 0, -10, 0, 3, 0, 48, 0, 20, 0, 20, 0, 24, 0, -4, 0, 26, 0, 4, 0, -2, 0, -2, 0, -2, 0, -12, 0, 18, 0, -28, 0, -24, 0, 4, 0, -22, 0, -4, 0, -10, 0, 26, 0, 16, 0, -20, 0, -13, 0, 20, 0, 18, 0, 0, 0, -16, 0, -36, 0, 4, 0, 28, 0, -2, 0, 22, 0, -4, 0, -28, 0, -6, 0, -2, 0, 2, 0, -8, 0, 12, 0, -16, 0, -6, 0, -28, 0, 4, 0, -4, 0, 2, 0, -6, 0, -14, 0, -12, 0, -16, 0, -20, 0, -12, 0, -18, 0, -2, 0, 24, 0, -30, 0, -12, 0, 8, 0, -16, 0, 45, 0, 10, 0, -10, 0, 18, 0, -10, 0, 4, 0, 10, 0, -2, 0, 12, 0, -24, 0, -12, 0, 14, 0, -8, 0, 2, 0, 26, 0, 12, 0, -8, 0, -8, 0, 26, 0, -32, 0, 18, 0, 24, 0, 11, 0, 8, 0, 14, 0, 4, 0, 0, 0, -10, 0, 32, 0, 0, 0, 10, 0, 2, 0, 2, 0, 4, 0, -48, 0, 20, 0, -22, 0, 4, 0, -48, 0, 16, 0, -3, 0, 18, 0, 6, 0, 20, 0, 22, 0, -40, 0, -40, 0, 12, 0, -6, 0, -8, 0, 6, 0, 38, 0, 8, 0, 6, 0, 12, 0, 20, 0, 8, 0, -8, 0, 2, 0, -24, 0, -12, 0, 24, 0, -10, 0, -38, 0, -12, 0, 20, 0, -4, 0, -4, 0, 24, 0, 40, 0, -28, 0, 14, 0, -14, 0, 46, 0, -18, 0, 20, 0, 32, 0, 2, 0, 8, 0, -12, 0, -6, 0, -22, 0, 4, 0, -8, 0, 13, 0, 0, 0, 60, 0, -6, 0, 0, 0, -12, 0, -10, 0, -36, 0, 14, 0, 14, 0, 2, 0, 16, 0, 16, 0, -4, 0, -46, 0, -12, 0, 16, 0, -30, 0, 6, 0, -22, 0, -18, 0, -4, 0, 8, 0, 6, 0, -38, 0, 4, 0, 20, 0, 8, 0, 6, 0, -10, 0, 32, 0, -44, 0, 18, 0, -4, 0, 32, 0, 24, 0, -26, 0, 6, 0, -5, 0, 2, 0, -8, 0, -12, 0, -22, 0, 20, 0, -30, 0, -8, 0, -24, 0, -12, 0, 1, 0, -64, 0, 4, 0, -36, 0, -8, 0, 6, 0, 18, 0, 12, 0, -18, 0, -30, 0, -4, 0, 42, 0, 0, 0, -16, 0, -30, 0, 4, 0, 10, 0, 16, 0, 10, 0, -24, 0, 16, 0, -12, 0, -4, 0, 8, 0, 10, 0, -4, 0, 26, 0, 20, 0, -36, 0, 34, 0, -2, 0, -20, 0, -12, 0, -12, 0, 8, 0, -16, 0, -20, 0, 4, 0, 18, 0, -16, 0, -4, 0, 28, 0, -10, 0, 8, 0, -24, 0, 24, 0, 16, 0, 40, 0, -4, 0, -36, 0, -2, 0, 2, 0, 13, 0, 4, 0, -6, 0, 6, 0, 24, 0, -16, 0, 96, 0, -42, 0, -10, 0, 10, 0, 12, 0, -4, 0, 40, 0, 20, 0, 10, 0, 48, 0, 10, 0, -28, 0, -2, 0, 0, 0, -30, 0, 52, 0, -38, 0, -4, 0, 8, 0, 80, 0, 48, 0, 8, 0, -10, 0, 14, 0, -4, 0, -12, 0, -12, 0, -4, 0, -30, 0, 4, 0, -6, 0, 40, 0, -12, 0, 36, 0, -6, 0, 20, 0, -56, 0, 6, 0, -16, 0, -12, 0, -38, 0, 6, 0, 8, 0, -50, 0, 2, 0, -44, 0, -6, 0, 14, 0, 16, 0, -24, 0, -25, 0, -20, 0, -23, 0, 10, 0, 52, 0, 12, 0, 10, 0, 8, 0, 18, 0, 16, 0, -40, 0, 46, 0, 6, 0, -26, 0, 32, 0, -36, 0, 10, 0, -2, 0, 10, 0, 36, 0, 14, 0, 2, 0, 0, 0, 2, 0, -12, 0, -44, 0, -16, 0, 0, 0, -72, 0, 8, 0, 4, 0, 8, 0, 18, 0, -2, 0, 14, 0, 28, 0, 40, 0, -4, 0, -8, 0, -56, 0, 44, 0, -72, 0, 2, 0, -2, 0, 6, 0, 24, 0, -56, 0, -8, 0, 34, 0, -12, 0, 38, 0, -60, 0, 8, 0, 38, 0, -60, 0, 4, 0, 58, 0, -4, 0, -16, 0, 4, 0, -15, 0, 6, 0, -2, 0, -22, 0, -32, 0, -36, 0, 32, 0, -12, 0, 42, 0, -24, 0, -14, 0, 46, 0, 22, 0, 8, 0, 12, 0, 44, 0, -8, 0, -16, 0, 18, 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], [2], [0], [1], [0], [4], [0], [-6], [0], [-2], [0], [2], [0], [-8], [0], [4], [0], [6], [0], [1], [0], [-4], [0], [-2], [0], [-4], [0], [8], [0], [-2], [0], [2], [0], [-12], [0], [-10], [0], [2], [0], [-1], [0], [2], [0], [-3], [0], [4], [0], [2], [0], [-4], [0], [-16], [0], [0], [0], [2], [0], [2], [0], [6], [0], [6], [0], [12], [0], [12], [0], [10], [0], [2], [0], [8], [0], [8], [0], [-11], [0], [10], [0], [-2], [0], [-4], [0], [-6], [0], [-12], [0], [-8], [0], [8], [0], [10], [0], [4], [0]], 'ap': [[0], [2], [-1], [2], [4], [-6], [2], [-8], [6], [-2], [-4], [2], [-10], [2], [2], [2], [0], [2], [6], [12], [10], [8], [10], [-6], [10], [14], [-2], [6], [-14], [-6], [-6], [-4], [2], [16], [10], [-20], [10], [-6], [-14], [-6], [0], [-18], [4], [2], [-22], [16], [-4], [-2], [-18], [-10], [2], [8], [-18], [20], [26], [-2], [18], [-28], [-22], [-10], [26], [18], [22], [-28], [-6], [2], [-4], [-14], [-18], [-2], [-30], [-16], [18], [10], [-24], [14], [26], [26], [18], [14], [0], [10], [20], [-22], [16], [18], [22], [-6], [6], [38], [6], [-24], [-38], [20], [40], [14], [-18], [-6], [-22], [-10], [14], [-46], [-30], [-18], [-4], [-38], [-10], [18], [24], [-26], [2], [-22], [-30], [-8], [-36], [-18], [-30], [42], [-30], [16], [10], [10], [26], [34], [-12], [18], [-10], [40], [2], [-6], [-16], [-42], [-4], [10], [10], [-30], [-38], [14], [-30], [-6], [20], [-38], [6], [-50], [2], [-24], [10], [18], [16], [46], [10], [14], [2], [2], [-2], [28], [-56], [6], [34], [38], [38], [58], [-22], [-36], [42], [46], [44], [18]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 4503599660925088, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '160.2.a.b', 'level': 160, 'maxp': 997, 'weight': 2}
• mf_newspaces •

  Column	Type
  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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [1, 2, 1, 0], 'Nk2': 640, 'analytic_conductor': 1.277606432340486, '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': [160, 1, [31, 101, 97], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 17, 'dim': 4, 'eis_dim': 15, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 33554592, 'hecke_orbit_dims': [1, 1, 2], 'label': '160.2.a', 'level': 160, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 32, 'mf_new_dim': 4, 'num_forms': 3, 'plus_dim': 1, 'prim_orbit_index': 1, 'relative_dim': 4, 'sturm_bound': 48, 'trace_bound': 3, 'trace_display': [0, 0, 0, 0], 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -16, 0, 0, 0, 8, 0, 0, 0, -8, 0, 0, 0, 4, 0, 0, 0, 8, 0, 0, 0, -16, 0, 0, 0, -16, 0, 0, 0, -16, 0, 0, 0, 8, 0, 0, 0, -4, 0, 0, 0, 16, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 40, 0, 0, 0, 8, 0, 0, 0, 48, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 16, 0, 0, 0, 24, 0, 0, 0, 24, 0, 0, 0, -24, 0, 0, 0, -64, 0, 0, 0, -8, 0, 0, 0, -32, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, -32, 0, 0, 0, -8, 0, 0, 0, -8, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -16, 0, 0, 0, 8, 0, 0, 0, -48, 0, 0, 0, 28, 0, 0, 0, -16, 0, 0, 0, 64, 0, 0, 0, -8, 0, 0, 0, -24, 0, 0, 0, -48, 0, 0, 0, 40, 0, 0, 0, -32, 0, 0, 0, 8, 0, 0, 0, 24, 0, 0, 0, -64, 0, 0, 0, 80, 0, 0, 0, -48, 0, 0, 0, -32, 0, 0, 0, 12, 0, 0, 0, 8, 0, 0, 0, 24, 0, 0, 0, 96, 0, 0, 0, 16, 0, 0, 0, 8, 0, 0, 0, 56, 0, 0, 0, 16, 0, 0, 0, 24, 0, 0, 0, 56, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -64, 0, 0, 0, -80, 0, 0, 0, 32, 0, 0, 0, -52, 0, 0, 0, 16, 0, 0, 0, -96, 0, 0, 0, 56, 0, 0, 0, -8, 0, 0, 0, 72, 0, 0, 0, -24, 0, 0, 0, 64, 0, 0, 0, -56, 0, 0, 0, -16, 0, 0, 0, 24, 0, 0, 0, -96, 0, 0, 0, 8, 0, 0, 0, -96, 0, 0, 0, -8, 0, 0, 0, 8, 0, 0, 0, -120, 0, 0, 0, -16, 0, 0, 0, 52, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 16, 0, 0, 0, 64, 0, 0, 0, 16, 0, 0, 0, -16, 0, 0, 0, 40, 0, 0, 0, 24, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 128, 0, 0, 0, 96, 0, 0, 0, 8, 0, 0, 0, -32, 0, 0, 0, -72, 0, 0, 0, -96, 0, 0, 0, 4, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, -176, 0, 0, 0, -56, 0, 0, 0, 24, 0, 0, 0, 48, 0, 0, 0, 40, 0, 0, 0, 112, 0, 0, 0, 64, 0, 0, 0, 16, 0, 0, 0, -16, 0, 0, 0, 56, 0, 0, 0, 16, 0, 0, 0, 16, 0, 0, 0, -136, 0, 0, 0, -32, 0, 0, 0, -88, 0, 0, 0, 64, 0, 0, 0, 48, 0, 0, 0, 8, 0, 0, 0, -8, 0, 0, 0, -4, 0, 0, 0, 112, 0, 0, 0, 64, 0, 0, 0, -40, 0, 0, 0, -8, 0, 0, 0, -16, 0, 0, 0, -32, 0, 0, 0, -64, 0, 0, 0, -32, 0, 0, 0, 16, 0, 0, 0, 32, 0, 0, 0, 112, 0, 0, 0, -104, 0, 0, 0, 24, 0, 0, 0, -8, 0, 0, 0, 64, 0, 0, 0, 72, 0, 0, 0, -64, 0, 0, 0, -48, 0, 0, 0, 32, 0, 0, 0, -112, 0, 0, 0, -96, 0, 0, 0, -40, 0, 0, 0, -16, 0, 0, 0, 4, 0, 0, 0, -32, 0, 0, 0, -112, 0, 0, 0, 32, 0, 0, 0, -16, 0, 0, 0, -56, 0, 0, 0, -128, 0, 0, 0, -32, 0, 0, 0, -40, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, -56, 0, 0, 0, 24, 0, 0, 0, 128, 0, 0, 0, 40, 0, 0, 0, -16, 0, 0, 0, -48, 0, 0, 0, 176, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, -24, 0, 0, 0, 8, 0, 0, 0, -16, 0, 0, 0, -32, 0, 0, 0, -88, 0, 0, 0, 8, 0, 0, 0, -60, 0, 0, 0, 80, 0, 0, 0, 80, 0, 0, 0, 192, 0, 0, 0, -40, 0, 0, 0, 104, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 16, 0, 0, 0, -24, 0, 0, 0, -64, 0, 0, 0, 176, 0, 0, 0, 32, 0, 0, 0, -56, 0, 0, 0, -120, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, -40, 0, 0, 0, 72, 0, 0, 0, -16, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 96, 0, 0, 0, -36, 0, 0, 0, -64, 0, 0, 0, 56, 0, 0, 0, 64, 0, 0, 0, -72, 0, 0, 0, -112, 0, 0, 0, 8, 0, 0, 0, -64, 0, 0, 0, 40, 0, 0, 0, 16, 0, 0, 0, 112, 0, 0, 0, 64, 0, 0, 0, -8, 0, 0, 0, -32, 0, 0, 0, -176, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, 8, 0, 0, 0, 48, 0, 0, 0, -48, 0, 0, 0, 72, 0, 0, 0, -16, 0, 0, 0, 64, 0, 0, 0, -272, 0, 0, 0, 88, 0, 0, 0, 152, 0, 0, 0, -16, 0, 0, 0, -96, 0, 0, 0, 104, 0, 0, 0, -224, 0, 0, 0, -28, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, -208, 0, 0, 0, 56, 0, 0, 0, -24, 0, 0, 0, 16, 0, 0, 0, 16, 0, 0, 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: 134066
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '160.2.a.a', 'target_level': 160, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 134067
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '160.2.a.b', 'target_level': 160, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 134068
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '320.2.a.b', 'target_level': 320, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 134069
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '320.2.a.e', 'target_level': 320, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 134070
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '800.2.a.a', 'target_level': 800, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 134071
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '800.2.a.i', 'target_level': 800, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 134072
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '800.2.c.a', 'target_level': 800, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 134073
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '800.2.c.b', 'target_level': 800, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 134074
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1280.2.d.b', 'target_level': 1280, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 134075
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '1280.2.d.h', 'target_level': 1280, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 134076
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1440.2.a.i', 'target_level': 1440, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 134077
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '1440.2.a.l', 'target_level': 1440, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 134078
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1600.2.a.e', 'target_level': 1600, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '40.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 134079
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 20, 'target_is_minimal': False, 'target_label': '1600.2.a.t', 'target_level': 1600, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 134080
    {'conductor': 40, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1600.2.c.c', 'target_level': 1600, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 134081
    {'conductor': 40, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1600.2.c.f', 'target_level': 1600, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '40.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 134082
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '2880.2.a.d', 'target_level': 2880, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 134083
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '2880.2.a.o', 'target_level': 2880, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 134084
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '7200.2.a.l', 'target_level': 7200, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 134085
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '7200.2.a.bp', 'target_level': 7200, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 134086
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '7200.2.f.g', 'target_level': 7200, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 134087
    {'conductor': 60, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 23, 'target_is_minimal': False, 'target_label': '7200.2.f.w', 'target_level': 7200, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 134088
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '7840.2.a.e', 'target_level': 7840, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 134089
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '160.2.a.b', 'source_level': 160, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 23, 'target_is_minimal': False, 'target_label': '7840.2.a.w', 'target_level': 7840, 'twist_class_label': '160.2.a.a', 'twist_class_level': 160, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 418850
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 2}
  • id: 418851
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 3}
  • id: 418852
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 5}
  • id: 418853
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 7}
  • id: 418854
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 11}
  • id: 418855
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 13}
  • id: 418856
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 17}
  • id: 418857
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 19}
  • id: 418858
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 23}
  • id: 418859
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 29}
  • id: 418860
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 31}
  • id: 418861
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 37}
  • id: 418862
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 41}
  • id: 418863
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 43}
  • id: 418864
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 47}
  • id: 418865
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 53}
  • id: 418866
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 59}
  • id: 418867
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 61}
  • id: 418868
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 67}
  • id: 418869
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 71}
  • id: 418870
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 73}
  • id: 418871
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 79}
  • id: 418872
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 83}
  • id: 418873
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660925088, 'p': 89}
  • id: 418874
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 4503599660925088, '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': 2, 'label': '160.2.a.b', 'level': 160, '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: 16060050
    {'hecke_orbit_code': 4503599660925088, 'n': 1, 'trace_an': 1}
  • id: 16060051
    {'hecke_orbit_code': 4503599660925088, 'n': 2, 'trace_an': 0}
  • id: 16060052
    {'hecke_orbit_code': 4503599660925088, 'n': 3, 'trace_an': 2}
  • id: 16060053
    {'hecke_orbit_code': 4503599660925088, 'n': 4, 'trace_an': 0}
  • id: 16060054
    {'hecke_orbit_code': 4503599660925088, 'n': 5, 'trace_an': -1}
  • id: 16060055
    {'hecke_orbit_code': 4503599660925088, 'n': 6, 'trace_an': 0}
  • id: 16060056
    {'hecke_orbit_code': 4503599660925088, 'n': 7, 'trace_an': 2}
  • id: 16060057
    {'hecke_orbit_code': 4503599660925088, 'n': 8, 'trace_an': 0}
  • id: 16060058
    {'hecke_orbit_code': 4503599660925088, 'n': 9, 'trace_an': 1}
  • id: 16060059
    {'hecke_orbit_code': 4503599660925088, 'n': 10, 'trace_an': 0}
  • id: 16060060
    {'hecke_orbit_code': 4503599660925088, 'n': 11, 'trace_an': 4}
  • id: 16060061
    {'hecke_orbit_code': 4503599660925088, 'n': 12, 'trace_an': 0}
  • id: 16060062
    {'hecke_orbit_code': 4503599660925088, 'n': 13, 'trace_an': -6}
  • id: 16060063
    {'hecke_orbit_code': 4503599660925088, 'n': 14, 'trace_an': 0}
  • id: 16060064
    {'hecke_orbit_code': 4503599660925088, 'n': 15, 'trace_an': -2}
  • id: 16060065
    {'hecke_orbit_code': 4503599660925088, 'n': 16, 'trace_an': 0}
  • id: 16060066
    {'hecke_orbit_code': 4503599660925088, 'n': 17, 'trace_an': 2}
  • id: 16060067
    {'hecke_orbit_code': 4503599660925088, 'n': 18, 'trace_an': 0}
  • id: 16060068
    {'hecke_orbit_code': 4503599660925088, 'n': 19, 'trace_an': -8}
  • id: 16060069
    {'hecke_orbit_code': 4503599660925088, 'n': 20, 'trace_an': 0}
  • id: 16060070
    {'hecke_orbit_code': 4503599660925088, 'n': 21, 'trace_an': 4}
  • id: 16060071
    {'hecke_orbit_code': 4503599660925088, 'n': 22, 'trace_an': 0}
  • id: 16060072
    {'hecke_orbit_code': 4503599660925088, 'n': 23, 'trace_an': 6}
  • id: 16060073
    {'hecke_orbit_code': 4503599660925088, 'n': 24, 'trace_an': 0}
  • id: 16060074
    {'hecke_orbit_code': 4503599660925088, 'n': 25, 'trace_an': 1}
  • id: 16060075
    {'hecke_orbit_code': 4503599660925088, 'n': 26, 'trace_an': 0}
  • id: 16060076
    {'hecke_orbit_code': 4503599660925088, 'n': 27, 'trace_an': -4}
  • id: 16060077
    {'hecke_orbit_code': 4503599660925088, 'n': 28, 'trace_an': 0}
  • id: 16060078
    {'hecke_orbit_code': 4503599660925088, 'n': 29, 'trace_an': -2}
  • id: 16060079
    {'hecke_orbit_code': 4503599660925088, 'n': 30, 'trace_an': 0}
  • id: 16060080
    {'hecke_orbit_code': 4503599660925088, 'n': 31, 'trace_an': -4}
  • id: 16060081
    {'hecke_orbit_code': 4503599660925088, 'n': 32, 'trace_an': 0}
  • id: 16060082
    {'hecke_orbit_code': 4503599660925088, 'n': 33, 'trace_an': 8}
  • id: 16060083
    {'hecke_orbit_code': 4503599660925088, 'n': 34, 'trace_an': 0}
  • id: 16060084
    {'hecke_orbit_code': 4503599660925088, 'n': 35, 'trace_an': -2}
  • id: 16060085
    {'hecke_orbit_code': 4503599660925088, 'n': 36, 'trace_an': 0}
  • id: 16060086
    {'hecke_orbit_code': 4503599660925088, 'n': 37, 'trace_an': 2}
  • id: 16060087
    {'hecke_orbit_code': 4503599660925088, 'n': 38, 'trace_an': 0}
  • id: 16060088
    {'hecke_orbit_code': 4503599660925088, 'n': 39, 'trace_an': -12}
  • id: 16060089
    {'hecke_orbit_code': 4503599660925088, 'n': 40, 'trace_an': 0}
  • id: 16060090
    {'hecke_orbit_code': 4503599660925088, 'n': 41, 'trace_an': -10}
  • id: 16060091
    {'hecke_orbit_code': 4503599660925088, 'n': 42, 'trace_an': 0}
  • id: 16060092
    {'hecke_orbit_code': 4503599660925088, 'n': 43, 'trace_an': 2}
  • id: 16060093
    {'hecke_orbit_code': 4503599660925088, 'n': 44, 'trace_an': 0}
  • id: 16060094
    {'hecke_orbit_code': 4503599660925088, 'n': 45, 'trace_an': -1}
  • id: 16060095
    {'hecke_orbit_code': 4503599660925088, 'n': 46, 'trace_an': 0}
  • id: 16060096
    {'hecke_orbit_code': 4503599660925088, 'n': 47, 'trace_an': 2}
  • id: 16060097
    {'hecke_orbit_code': 4503599660925088, 'n': 48, 'trace_an': 0}
  • id: 16060098
    {'hecke_orbit_code': 4503599660925088, 'n': 49, 'trace_an': -3}
  • id: 16060099
    {'hecke_orbit_code': 4503599660925088, 'n': 50, 'trace_an': 0}
  • id: 16060100
    {'hecke_orbit_code': 4503599660925088, 'n': 51, 'trace_an': 4}
  • id: 16060101
    {'hecke_orbit_code': 4503599660925088, 'n': 52, 'trace_an': 0}
  • id: 16060102
    {'hecke_orbit_code': 4503599660925088, 'n': 53, 'trace_an': 2}
  • id: 16060103
    {'hecke_orbit_code': 4503599660925088, 'n': 54, 'trace_an': 0}
  • id: 16060104
    {'hecke_orbit_code': 4503599660925088, 'n': 55, 'trace_an': -4}
  • id: 16060105
    {'hecke_orbit_code': 4503599660925088, 'n': 56, 'trace_an': 0}
  • id: 16060106
    {'hecke_orbit_code': 4503599660925088, 'n': 57, 'trace_an': -16}
  • id: 16060107
    {'hecke_orbit_code': 4503599660925088, 'n': 58, 'trace_an': 0}
  • id: 16060108
    {'hecke_orbit_code': 4503599660925088, 'n': 59, 'trace_an': 0}
  • id: 16060109
    {'hecke_orbit_code': 4503599660925088, 'n': 60, 'trace_an': 0}
  • id: 16060110
    {'hecke_orbit_code': 4503599660925088, 'n': 61, 'trace_an': 2}
  • id: 16060111
    {'hecke_orbit_code': 4503599660925088, 'n': 62, 'trace_an': 0}
  • id: 16060112
    {'hecke_orbit_code': 4503599660925088, 'n': 63, 'trace_an': 2}
  • id: 16060113
    {'hecke_orbit_code': 4503599660925088, 'n': 64, 'trace_an': 0}
  • id: 16060114
    {'hecke_orbit_code': 4503599660925088, 'n': 65, 'trace_an': 6}
  • id: 16060115
    {'hecke_orbit_code': 4503599660925088, 'n': 66, 'trace_an': 0}
  • id: 16060116
    {'hecke_orbit_code': 4503599660925088, 'n': 67, 'trace_an': 6}
  • id: 16060117
    {'hecke_orbit_code': 4503599660925088, 'n': 68, 'trace_an': 0}
  • id: 16060118
    {'hecke_orbit_code': 4503599660925088, 'n': 69, 'trace_an': 12}
  • id: 16060119
    {'hecke_orbit_code': 4503599660925088, 'n': 70, 'trace_an': 0}
  • id: 16060120
    {'hecke_orbit_code': 4503599660925088, 'n': 71, 'trace_an': 12}
  • id: 16060121
    {'hecke_orbit_code': 4503599660925088, 'n': 72, 'trace_an': 0}
  • id: 16060122
    {'hecke_orbit_code': 4503599660925088, 'n': 73, 'trace_an': 10}
  • id: 16060123
    {'hecke_orbit_code': 4503599660925088, 'n': 74, 'trace_an': 0}
  • id: 16060124
    {'hecke_orbit_code': 4503599660925088, 'n': 75, 'trace_an': 2}
  • id: 16060125
    {'hecke_orbit_code': 4503599660925088, 'n': 76, 'trace_an': 0}
  • id: 16060126
    {'hecke_orbit_code': 4503599660925088, 'n': 77, 'trace_an': 8}
  • id: 16060127
    {'hecke_orbit_code': 4503599660925088, 'n': 78, 'trace_an': 0}
  • id: 16060128
    {'hecke_orbit_code': 4503599660925088, 'n': 79, 'trace_an': 8}
  • id: 16060129
    {'hecke_orbit_code': 4503599660925088, 'n': 80, 'trace_an': 0}
  • id: 16060130
    {'hecke_orbit_code': 4503599660925088, 'n': 81, 'trace_an': -11}
  • id: 16060131
    {'hecke_orbit_code': 4503599660925088, 'n': 82, 'trace_an': 0}
  • id: 16060132
    {'hecke_orbit_code': 4503599660925088, 'n': 83, 'trace_an': 10}
  • id: 16060133
    {'hecke_orbit_code': 4503599660925088, 'n': 84, 'trace_an': 0}
  • id: 16060134
    {'hecke_orbit_code': 4503599660925088, 'n': 85, 'trace_an': -2}
  • id: 16060135
    {'hecke_orbit_code': 4503599660925088, 'n': 86, 'trace_an': 0}
  • id: 16060136
    {'hecke_orbit_code': 4503599660925088, 'n': 87, 'trace_an': -4}
  • id: 16060137
    {'hecke_orbit_code': 4503599660925088, 'n': 88, 'trace_an': 0}
  • id: 16060138
    {'hecke_orbit_code': 4503599660925088, 'n': 89, 'trace_an': -6}
  • id: 16060139
    {'hecke_orbit_code': 4503599660925088, 'n': 90, 'trace_an': 0}
  • id: 16060140
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  • id: 16060141
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  • id: 16060142
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  • id: 16060143
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  • id: 16060144
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  • id: 16060145
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  • id: 16060146
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  • id: 16060147
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  • id: 16060148
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  • id: 16060150
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  • id: 16060151
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  • id: 16060152
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  • id: 16060153
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  • id: 16060154
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  • id: 16060155
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  • id: 16060156
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  • id: 16060157
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  • id: 16060158
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  • id: 16060159
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  • id: 16060160
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  • id: 16060161
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  • id: 16060162
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  • id: 16060163
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  • id: 16060164
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  • id: 16060165
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  • id: 16060166
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  • id: 16060167
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  • id: 16060168
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  • id: 16060169
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  • id: 16060170
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  • id: 16060171
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  • id: 16060172
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  • id: 16060173
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  • id: 16060174
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  • id: 16060175
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  • id: 16060176
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  • id: 16060177
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  • id: 16060178
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  • id: 16060179
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  • id: 16060180
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  • id: 16060181
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  • id: 16060182
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  • id: 16060183
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  • id: 16060184
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  • id: 16060185
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  • id: 16060186
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  • id: 16060187
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  • id: 16060188
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  • id: 16060189
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  • id: 16060190
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  • id: 16060191
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  • id: 16060192
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  • id: 16060193
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  • id: 16060194
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  • id: 16060195
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  • id: 16060196
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  • id: 16060197
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  • id: 16060198
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  • id: 16060199
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  • id: 16060200
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  • id: 16060201
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  • id: 16060202
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  • id: 16060203
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  • id: 16060204
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  • id: 16060205
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  • id: 16060206
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  • id: 16060207
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  • id: 16060208
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  • id: 16060209
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  • id: 16060210
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  • id: 16060211
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  • id: 16060212
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  • id: 16060213
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  • id: 16060214
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  • id: 16060215
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  • id: 16060216
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  • id: 16060217
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  • id: 16060218
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  • id: 16060219
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  • id: 16060220
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  • id: 16060221
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  • id: 16060222
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  • id: 16060223
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  • id: 16060224
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  • id: 16060225
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  • id: 16060226
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  • id: 16060227
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  • id: 16060228
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  • id: 16060229
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  • id: 16060230
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  • id: 16060231
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  • id: 16060232
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  • id: 16060233
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  • id: 16060234
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  • id: 16060235
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  • id: 16060236
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  • id: 16060237
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  • id: 16060238
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  • id: 16060239
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  • id: 16060240
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  • id: 16060241
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  • id: 16060242
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  • id: 16060243
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  • id: 16060244
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  • id: 16060245
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  • id: 16060246
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  • id: 16060247
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  • id: 16060248
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  • id: 16060249
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  • id: 16060250
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  • id: 16060251
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  • id: 16060252
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  • id: 16060253
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  • id: 16060254
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  • id: 16060255
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  • id: 16060256
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  • id: 16060257
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  • id: 16060258
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  • id: 16060259
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  • id: 16060260
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  • id: 16060261
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  • id: 16060262
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  • id: 16060263
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  • id: 16060264
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  • id: 16060265
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  • id: 16060266
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  • id: 16060267
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  • id: 16060268
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  • id: 16060269
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  • id: 16060270
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  • id: 16060271
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  • id: 16060272
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  • id: 16060273
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  • id: 16060274
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  • id: 16060275
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  • id: 16060276
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  • id: 16060277
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  • id: 16060278
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  • id: 16060279
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  • id: 16060280
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  • id: 16060281
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  • id: 16060282
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  • id: 16060283
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  • id: 16060284
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  • id: 16060285
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  • id: 16060286
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  • id: 16060287
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  • id: 16060288
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  • id: 16060289
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  • id: 16060290
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  • id: 16060291
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  • id: 16060292
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  • id: 16060293
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  • id: 16060294
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  • id: 16060295
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  • id: 16060296
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  • id: 16060297
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  • id: 16060298
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  • id: 16060299
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  • id: 16060300
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  • id: 16060301
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  • id: 16060302
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  • id: 16060303
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  • id: 16060304
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  • id: 16060305
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  • id: 16060306
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  • id: 16060307
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