Newform data - 936.2.a.c

Formats: - HTML - YAML - JSON - 2025-01-21T16:21:41.923908

• 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': 3744, 'analytic_conductor': 7.473997629191844, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [13, 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': [936, 1, [703, 469, 209, 145], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [2, 1]], [7, [-2, 1]], [11, [4, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199288296360, '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': '936.2.a.c', 'level': 936, '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, 3, 13], 'level_radical': 78, 'minimal_twist': '936.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{5}+2q^{7}-4q^{11}-q^{13}-2q^{19}+\\cdots', 'related_objects': ['EllipticCurve/Q/936/c'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '936.2.a', 'trace_display': [0, 0, -2, 2], 'trace_hash': 1534208614380401547, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.028', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.043', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.114', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.247', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.406', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.021', 'prec': 17}, 'traces': [1, 0, 0, 0, -2, 0, 2, 0, 0, 0, -4, 0, -1, 0, 0, 0, 0, 0, -2, 0, 0, 0, -4, 0, -1, 0, 0, 0, 0, 0, 2, 0, 0, 0, -4, 0, -10, 0, 0, 0, -2, 0, 8, 0, 0, 0, 0, 0, -3, 0, 0, 0, -12, 0, 8, 0, 0, 0, -12, 0, -6, 0, 0, 0, 2, 0, -6, 0, 0, 0, 8, 0, -2, 0, 0, 0, -8, 0, 12, 0, 0, 0, 4, 0, 0, 0, 0, 0, -14, 0, -2, 0, 0, 0, 4, 0, -10, 0, 0, 0, 8, 0, 4, 0, 0, 0, 4, 0, 10, 0, 0, 0, 4, 0, 8, 0, 0, 0, 0, 0, 5, 0, 0, 0, 12, 0, 16, 0, 0, 0, 12, 0, -4, 0, 0, 0, 6, 0, -12, 0, 0, 0, 4, 0, 0, 0, 0, 0, 10, 0, -2, 0, 0, 0, -4, 0, -14, 0, 0, 0, -8, 0, -14, 0, 0, 0, -8, 0, 1, 0, 0, 0, 24, 0, -2, 0, 0, 0, -12, 0, -2, 0, 0, 0, 20, 0, 0, 0, 0, 0, 20, 0, -14, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 8, 0, -8, 0, 0, 0, -16, 0, 4, 0, 0, 0, 0, 0, 10, 0, 0, 0, 28, 0, 18, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 6, 0, 2, 0, 0, 0, 16, 0, 16, 0, 0, 0, 28, 0, -20, 0, 0, 0, 16, 0, 24, 0, 0, 0, 8, 0, 26, 0, 0, 0, 4, 0, -6, 0, 0, 0, -2, 0, 4, 0, 0, 0, -4, 0, -17, 0, 0, 0, -30, 0, 24, 0, 0, 0, 4, 0, 16, 0, 0, 0, 12, 0, -26, 0, 0, 0, -20, 0, -6, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, -30, 0, 0, 0, 12, 0, 30, 0, 0, 0, -8, 0, -20, 0, 0, 0, 24, 0, 6, 0, 0, 0, 22, 0, -16, 0, 0, 0, -24, 0, -15, 0, 0, 0, 4, 0, 0, 0, 0, 0, -24, 0, -10, 0, 0, 0, 0, 0, -18, 0, 0, 0, -24, 0, 16, 0, 0, 0, -36, 0, 0, 0, 0, 0, -24, 0, 22, 0, 0, 0, -30, 0, -2, 0, 0, 0, 40, 0, 38, 0, 0, 0, -24, 0, -8, 0, 0, 0, 12, 0, -22, 0, 0, 0, 0, 0, -12, 0, 0, 0, -40, 0, -2, 0, 0, 0, 8, 0, -20, 0, 0, 0, 12, 0, 28, 0, 0, 0, -30, 0, 8, 0, 0, 0, 4, 0, -2, 0, 0, 0, 30, 0, -6, 0, 0, 0, -40, 0, -12, 0, 0, 0, -32, 0, 2, 0, 0, 0, -24, 0, 10, 0, 0, 0, 20, 0, 26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, -30, 0, 0, 0, 16, 0, -16, 0, 0, 0, -26, 0, -4, 0, 0, 0, -8, 0, 0, 0, 0, 0, 12, 0, -4, 0, 0, 0, 0, 0, -7, 0, 0, 0, 2, 0, -8, 0, 0, 0, 12, 0, 18, 0, 0, 0, -20, 0, 36, 0, 0, 0, 0, 0, 24, 0, 0, 0, 2, 0, -8, 0, 0, 0, -12, 0, -8, 0, 0, 0, -4, 0, -20, 0, 0, 0, 4, 0, -14, 0, 0, 0, 8, 0, 48, 0, 0, 0, 12, 0, -4, 0, 0, 0, -14, 0, 0, 0, 0, 0, -40, 0, 42, 0, 0, 0, -10, 0, 32, 0, 0, 0, 0, 0, -18, 0, 0, 0, 22, 0, -26, 0, 0, 0, -28, 0, -19, 0, 0, 0, 0, 0, 30, 0, 0, 0, -32, 0, 3, 0, 0, 0, -8, 0, -14, 0, 0, 0, 24, 0, 48, 0, 0, 0, 24, 0, -24, 0, 0, 0, -16, 0, -34, 0, 0, 0, 8, 0, 0, 0, 0, 0, 24, 0, -42, 0, 0, 0, 12, 0, -20, 0, 0, 0, -36, 0, -12, 0, 0, 0, 12, 0, 34, 0, 0, 0, 24, 0, 0, 0, 0, 0, -20, 0, 20, 0, 0, 0, 16, 0, 10, 0, 0, 0, -8, 0, -8, 0, 0, 0, 36, 0, 8, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 10, 0, 0, 0, 24, 0, -2, 0, 0, 0, 16, 0, -20, 0, 0, 0, 8, 0, -28, 0, 0, 0, 4, 0, -34, 0, 0, 0, -42, 0, 20, 0, 0, 0, 12, 0, -14, 0, 0, 0, 18, 0, -2, 0, 0, 0, 4, 0, -32, 0, 0, 0, 28, 0, -18, 0, 0, 0, 8, 0, 6, 0, 0, 0, 28, 0, 0, 0, 0, 0, 8, 0, 16, 0, 0, 0, -12, 0, 38, 0, 0, 0, 28, 0, -16, 0, 0, 0, 2, 0, 4, 0, 0, 0, 52, 0, 30, 0, 0, 0, 0, 0, 16, 0, 0, 0, 24, 0, -29, 0, 0, 0, -2, 0, 10, 0, 0, 0, 40, 0, 22, 0, 0, 0, 36, 0, 8, 0, 0, 0, -32, 0, -48, 0, 0, 0, -48, 0, 6, 0, 0, 0, 24, 0, 38, 0, 0, 0, -12, 0, -12, 0, 0, 0, 36, 0, 32, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 52, 0, 0, 0, 4, 0, -16, 0, 0, 0, 24, 0, 60, 0, 0, 0, -8, 0, 10, 0, 0, 0, -10, 0, 6, 0, 0, 0, 0, 0, -2, 0, 0, 0, 10, 0, 8, 0, 0, 0, -12, 0, 2, 0, 0, 0, 60, 0, -40, 0, 0, 0, 12, 0, -27, 0, 0, 0, 28, 0, -22, 0, 0, 0, -48, 0, -24, 0, 0, 0, -6, 0, 56, 0, 0, 0, -8, 0, 4, 0, 0, 0, -32, 0, -8, 0, 0, 0, 0, 0, -58, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1], [0], [0], [0], [-2], [0], [2], [0], [0], [0], [-4], [0], [-1], [0], [0], [0], [0], [0], [-2], [0], [0], [0], [-4], [0], [-1], [0], [0], [0], [0], [0], [2], [0], [0], [0], [-4], [0], [-10], [0], [0], [0], [-2], [0], [8], [0], [0], [0], [0], [0], [-3], [0], [0], [0], [-12], [0], [8], [0], [0], [0], [-12], [0], [-6], [0], [0], [0], [2], [0], [-6], [0], [0], [0], [8], [0], [-2], [0], [0], [0], [-8], [0], [12], [0], [0], [0], [4], [0], [0], [0], [0], [0], [-14], [0], [-2], [0], [0], [0], [4], [0], [-10], [0], [0], [0]], 'ap': [[0], [0], [-2], [2], [-4], [-1], [0], [-2], [-4], [0], [2], [-10], [-2], [8], [0], [-12], [-12], [-6], [-6], [8], [-2], [12], [4], [-14], [-10], [8], [4], [4], [10], [4], [16], [12], [6], [-12], [10], [-2], [-14], [-14], [-8], [24], [-12], [-2], [20], [-14], [-2], [0], [-8], [10], [28], [18], [-28], [0], [-10], [16], [28], [16], [8], [26], [-6], [-2], [4], [-30], [-26], [-20], [-6], [-10], [-30], [30], [24], [6], [22], [-24], [0], [-10], [-18], [-24], [-36], [22], [-30], [38], [12], [-22], [-40], [-2], [-20], [12], [-30], [-2], [30], [-6], [-40], [-24], [26], [0], [-30], [16], [-26], [12], [-4], [18], [36], [2], [-12], [-4], [-20], [-14], [12], [-14], [-40], [42], [32], [-18], [22], [-26], [30], [-8], [-14], [24], [24], [-16], [-34], [-42], [12], [-36], [34], [-20], [10], [36], [-32], [10], [-2], [16], [-28], [-34], [-42], [-14], [18], [-18], [28], [-12], [38], [2], [4], [52], [30], [24], [22], [36], [8], [-32], [38], [-12], [-12], [36], [52], [4], [60], [-10], [-2], [10], [-12], [60], [-22], [-48], [-6], [-8], [-8], [-58]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 9007199288296360, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '936.2.a.c', 'level': 936, '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, 3, 1, 1, 2, 2, 3], 'Nk2': 3744, 'analytic_conductor': 7.473997629191844, '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': [936, 1, [703, 469, 209, 145], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 153, 'dim': 15, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 33555368, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2], 'label': '936.2.a', 'level': 936, '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, 3, 13], 'level_radical': 78, 'mf_dim': 184, 'mf_new_dim': 15, 'num_forms': 12, 'plus_dim': 6, 'prim_orbit_index': 1, 'relative_dim': 15, 'sturm_bound': 336, 'trace_bound': 11, 'trace_display': [0, 0, -2, -4], 'traces': [15, 0, 0, 0, -2, 0, -4, 0, 0, 0, 4, 0, 1, 0, 0, 0, 8, 0, 0, 0, 0, 0, -12, 0, 19, 0, 0, 0, 14, 0, -4, 0, 0, 0, -10, 0, -14, 0, 0, 0, -2, 0, 14, 0, 0, 0, 20, 0, 33, 0, 0, 0, 10, 0, 0, 0, 0, 0, 16, 0, -2, 0, 0, 0, -4, 0, 4, 0, 0, 0, 4, 0, -6, 0, 0, 0, -24, 0, 12, 0, 0, 0, 4, 0, 8, 0, 0, 0, 22, 0, -6, 0, 0, 0, 20, 0, -18, 0, 0, 0, 6, 0, -52, 0, 0, 0, -20, 0, 42, 0, 0, 0, 46, 0, -28, 0, 0, 0, -16, 0, 3, 0, 0, 0, -24, 0, 4, 0, 0, 0, -54, 0, 44, 0, 0, 0, -14, 0, 22, 0, 0, 0, 0, 0, 16, 0, 0, 0, -6, 0, -44, 0, 0, 0, 40, 0, -30, 0, 0, 0, -28, 0, -36, 0, 0, 0, -52, 0, 15, 0, 0, 0, 34, 0, -52, 0, 0, 0, -30, 0, 2, 0, 0, 0, -54, 0, 20, 0, 0, 0, -56, 0, -26, 0, 0, 0, -50, 0, -64, 0, 0, 0, 52, 0, -36, 0, 0, 0, 48, 0, 30, 0, 0, 0, -48, 0, -80, 0, 0, 0, -14, 0, 36, 0, 0, 0, 96, 0, -22, 0, 0, 0, -56, 0, 58, 0, 0, 0, 60, 0, -46, 0, 0, 0, 130, 0, -4, 0, 0, 0, -20, 0, 72, 0, 0, 0, 0, 0, -22, 0, 0, 0, 16, 0, -56, 0, 0, 0, 22, 0, 12, 0, 0, 0, 8, 0, -10, 0, 0, 0, -34, 0, 108, 0, 0, 0, -80, 0, -17, 0, 0, 0, -42, 0, 12, 0, 0, 0, 28, 0, -20, 0, 0, 0, -68, 0, 16, 0, 0, 0, 28, 0, -48, 0, 0, 0, -38, 0, 16, 0, 0, 0, -80, 0, 7, 0, 0, 0, 6, 0, -12, 0, 0, 0, 16, 0, 0, 0, 0, 0, 16, 0, -104, 0, 0, 0, -22, 0, -78, 0, 0, 0, 26, 0, 46, 0, 0, 0, 52, 0, -13, 0, 0, 0, 64, 0, -56, 0, 0, 0, 68, 0, 38, 0, 0, 0, -14, 0, 4, 0, 0, 0, 12, 0, 148, 0, 0, 0, -54, 0, 44, 0, 0, 0, 4, 0, -10, 0, 0, 0, 82, 0, 12, 0, 0, 0, 80, 0, 38, 0, 0, 0, 4, 0, 28, 0, 0, 0, 38, 0, 34, 0, 0, 0, 94, 0, 72, 0, 0, 0, 28, 0, 32, 0, 0, 0, -72, 0, -20, 0, 0, 0, -82, 0, -40, 0, 0, 0, 2, 0, 128, 0, 0, 0, 12, 0, -14, 0, 0, 0, -82, 0, -52, 0, 0, 0, 68, 0, -24, 0, 0, 0, -36, 0, 88, 0, 0, 0, -172, 0, 20, 0, 0, 0, -28, 0, 84, 0, 0, 0, -118, 0, 44, 0, 0, 0, 34, 0, 16, 0, 0, 0, -116, 0, -108, 0, 0, 0, 2, 0, 28, 0, 0, 0, 124, 0, -88, 0, 0, 0, 116, 0, 52, 0, 0, 0, 0, 0, 23, 0, 0, 0, -18, 0, -56, 0, 0, 0, 112, 0, -54, 0, 0, 0, -102, 0, -6, 0, 0, 0, 144, 0, 68, 0, 0, 0, 70, 0, -16, 0, 0, 0, -70, 0, 28, 0, 0, 0, 84, 0, -38, 0, 0, 0, 0, 0, 34, 0, 0, 0, 92, 0, 152, 0, 0, 0, -4, 0, -8, 0, 0, 0, -142, 0, 2, 0, 0, 0, -36, 0, 108, 0, 0, 0, 6, 0, 124, 0, 0, 0, 38, 0, 54, 0, 0, 0, -26, 0, -80, 0, 0, 0, 100, 0, -41, 0, 0, 0, -96, 0, -108, 0, 0, 0, -68, 0, 1, 0, 0, 0, 22, 0, -28, 0, 0, 0, 20, 0, -16, 0, 0, 0, 30, 0, -88, 0, 0, 0, 20, 0, -26, 0, 0, 0, 0, 0, 24, 0, 0, 0, 112, 0, 4, 0, 0, 0, 138, 0, 80, 0, 0, 0, 76, 0, -112, 0, 0, 0, -30, 0, 24, 0, 0, 0, 24, 0, 4, 0, 0, 0, -134, 0, 4, 0, 0, 0, -112, 0, -42, 0, 0, 0, 80, 0, -36, 0, 0, 0, 24, 0, 140, 0, 0, 0, 138, 0, -224, 0, 0, 0, -2, 0, 26, 0, 0, 0, 56, 0, 96, 0, 0, 0, -44, 0, -136, 0, 0, 0, -144, 0, -128, 0, 0, 0, -174, 0, -94, 0, 0, 0, -82, 0, -214, 0, 0, 0, -4, 0, 42, 0, 0, 0, -50, 0, 100, 0, 0, 0, 168, 0, -88, 0, 0, 0, -84, 0, -152, 0, 0, 0, -264, 0, 6, 0, 0, 0, 2, 0, 24, 0, 0, 0, -80, 0, 84, 0, 0, 0, -20, 0, -24, 0, 0, 0, -284, 0, -48, 0, 0, 0, 78, 0, -20, 0, 0, 0, 40, 0, 6, 0, 0, 0, 158, 0, -8, 0, 0, 0, -36, 0, -79, 0, 0, 0, -2, 0, -180, 0, 0, 0, 124, 0, 274, 0, 0, 0, -114, 0, 100, 0, 0, 0, 196, 0, 144, 0, 0, 0, 136, 0, 32, 0, 0, 0, -190, 0, -6, 0, 0, 0, 112, 0, -86, 0, 0, 0, 32, 0, 28, 0, 0, 0, 140, 0, 120, 0, 0, 0, 80, 0, 192, 0, 0, 0, -136, 0, -26, 0, 0, 0, -72, 0, -56, 0, 0, 0, -68, 0, 184, 0, 0, 0, 50, 0, -78, 0, 0, 0, -58, 0, -136, 0, 0, 0, 128, 0, -162, 0, 0, 0, -106, 0, 48, 0, 0, 0, -92, 0, 22, 0, 0, 0, -68, 0, -308, 0, 0, 0, 84, 0, 71, 0, 0, 0, -104, 0, -84, 0, 0, 0, 54, 0, -44, 0, 0, 0, -126, 0, 272, 0, 0, 0, 28, 0, -110, 0, 0, 0, 156, 0, -68, 0, 0, 0, -4, 0, 134, 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: 578156
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '936.2.a.c', 'source_level': 936, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '936.2.a.c', 'target_level': 936, 'twist_class_label': '936.2.a.c', 'twist_class_level': 936, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 578157
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '936.2.a.c', 'source_level': 936, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': True, 'target_label': '936.2.a.g', 'target_level': 936, 'twist_class_label': '936.2.a.c', 'twist_class_level': 936, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 578158
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '936.2.a.c', 'source_level': 936, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '1872.2.a.d', 'target_level': 1872, 'twist_class_label': '936.2.a.c', 'twist_class_level': 936, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 578159
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '936.2.a.c', 'source_level': 936, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '1872.2.a.o', 'target_level': 1872, 'twist_class_label': '936.2.a.c', 'twist_class_level': 936, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 578160
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '936.2.a.c', 'source_level': 936, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '7488.2.a.k', 'target_level': 7488, 'twist_class_label': '936.2.a.c', 'twist_class_level': 936, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 578161
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '936.2.a.c', 'source_level': 936, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '7488.2.a.r', 'target_level': 7488, 'twist_class_label': '936.2.a.c', 'twist_class_level': 936, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 578162
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '936.2.a.c', 'source_level': 936, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 39, 'target_is_minimal': False, 'target_label': '7488.2.a.bm', 'target_level': 7488, 'twist_class_label': '936.2.a.c', 'twist_class_level': 936, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 578163
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '936.2.a.c', 'source_level': 936, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 50, 'target_is_minimal': False, 'target_label': '7488.2.a.bx', 'target_level': 7488, 'twist_class_label': '936.2.a.c', 'twist_class_level': 936, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1509575
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 2}
  • id: 1509576
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 3}
  • id: 1509577
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 5}
  • id: 1509578
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 7}
  • id: 1509579
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 11}
  • id: 1509580
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 13}
  • id: 1509581
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 17}
  • id: 1509582
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 19}
  • id: 1509583
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 23}
  • id: 1509584
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 29}
  • id: 1509585
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 31}
  • id: 1509586
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 37}
  • id: 1509587
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 41}
  • id: 1509588
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 43}
  • id: 1509589
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 47}
  • id: 1509590
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 53}
  • id: 1509591
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 59}
  • id: 1509592
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 61}
  • id: 1509593
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 67}
  • id: 1509594
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 71}
  • id: 1509595
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 73}
  • id: 1509596
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 79}
  • id: 1509597
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 83}
  • id: 1509598
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 89}
  • id: 1509599
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 9007199288296360, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 3, 'label': '936.2.a.c', 'level': 936, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 26201941
    {'hecke_orbit_code': 9007199288296360, 'n': 1, 'trace_an': 1}
  • id: 26201942
    {'hecke_orbit_code': 9007199288296360, 'n': 2, 'trace_an': 0}
  • id: 26201943
    {'hecke_orbit_code': 9007199288296360, 'n': 3, 'trace_an': 0}
  • id: 26201944
    {'hecke_orbit_code': 9007199288296360, 'n': 4, 'trace_an': 0}
  • id: 26201945
    {'hecke_orbit_code': 9007199288296360, 'n': 5, 'trace_an': -2}
  • id: 26201946
    {'hecke_orbit_code': 9007199288296360, 'n': 6, 'trace_an': 0}
  • id: 26201947
    {'hecke_orbit_code': 9007199288296360, 'n': 7, 'trace_an': 2}
  • id: 26201948
    {'hecke_orbit_code': 9007199288296360, 'n': 8, 'trace_an': 0}
  • id: 26201949
    {'hecke_orbit_code': 9007199288296360, 'n': 9, 'trace_an': 0}
  • id: 26201950
    {'hecke_orbit_code': 9007199288296360, 'n': 10, 'trace_an': 0}
  • id: 26201951
    {'hecke_orbit_code': 9007199288296360, 'n': 11, 'trace_an': -4}
  • id: 26201952
    {'hecke_orbit_code': 9007199288296360, 'n': 12, 'trace_an': 0}
  • id: 26201953
    {'hecke_orbit_code': 9007199288296360, 'n': 13, 'trace_an': -1}
  • id: 26201954
    {'hecke_orbit_code': 9007199288296360, 'n': 14, 'trace_an': 0}
  • id: 26201955
    {'hecke_orbit_code': 9007199288296360, 'n': 15, 'trace_an': 0}
  • id: 26201956
    {'hecke_orbit_code': 9007199288296360, 'n': 16, 'trace_an': 0}
  • id: 26201957
    {'hecke_orbit_code': 9007199288296360, 'n': 17, 'trace_an': 0}
  • id: 26201958
    {'hecke_orbit_code': 9007199288296360, 'n': 18, 'trace_an': 0}
  • id: 26201959
    {'hecke_orbit_code': 9007199288296360, 'n': 19, 'trace_an': -2}
  • id: 26201960
    {'hecke_orbit_code': 9007199288296360, 'n': 20, 'trace_an': 0}
  • id: 26201961
    {'hecke_orbit_code': 9007199288296360, 'n': 21, 'trace_an': 0}
  • id: 26201962
    {'hecke_orbit_code': 9007199288296360, 'n': 22, 'trace_an': 0}
  • id: 26201963
    {'hecke_orbit_code': 9007199288296360, 'n': 23, 'trace_an': -4}
  • id: 26201964
    {'hecke_orbit_code': 9007199288296360, 'n': 24, 'trace_an': 0}
  • id: 26201965
    {'hecke_orbit_code': 9007199288296360, 'n': 25, 'trace_an': -1}
  • id: 26201966
    {'hecke_orbit_code': 9007199288296360, 'n': 26, 'trace_an': 0}
  • id: 26201967
    {'hecke_orbit_code': 9007199288296360, 'n': 27, 'trace_an': 0}
  • id: 26201968
    {'hecke_orbit_code': 9007199288296360, 'n': 28, 'trace_an': 0}
  • id: 26201969
    {'hecke_orbit_code': 9007199288296360, 'n': 29, 'trace_an': 0}
  • id: 26201970
    {'hecke_orbit_code': 9007199288296360, 'n': 30, 'trace_an': 0}
  • id: 26201971
    {'hecke_orbit_code': 9007199288296360, 'n': 31, 'trace_an': 2}
  • id: 26201972
    {'hecke_orbit_code': 9007199288296360, 'n': 32, 'trace_an': 0}
  • id: 26201973
    {'hecke_orbit_code': 9007199288296360, 'n': 33, 'trace_an': 0}
  • id: 26201974
    {'hecke_orbit_code': 9007199288296360, 'n': 34, 'trace_an': 0}
  • id: 26201975
    {'hecke_orbit_code': 9007199288296360, 'n': 35, 'trace_an': -4}
  • id: 26201976
    {'hecke_orbit_code': 9007199288296360, 'n': 36, 'trace_an': 0}
  • id: 26201977
    {'hecke_orbit_code': 9007199288296360, 'n': 37, 'trace_an': -10}
  • id: 26201978
    {'hecke_orbit_code': 9007199288296360, 'n': 38, 'trace_an': 0}
  • id: 26201979
    {'hecke_orbit_code': 9007199288296360, 'n': 39, 'trace_an': 0}
  • id: 26201980
    {'hecke_orbit_code': 9007199288296360, 'n': 40, 'trace_an': 0}
  • id: 26201981
    {'hecke_orbit_code': 9007199288296360, 'n': 41, 'trace_an': -2}
  • id: 26201982
    {'hecke_orbit_code': 9007199288296360, 'n': 42, 'trace_an': 0}
  • id: 26201983
    {'hecke_orbit_code': 9007199288296360, 'n': 43, 'trace_an': 8}
  • id: 26201984
    {'hecke_orbit_code': 9007199288296360, 'n': 44, 'trace_an': 0}
  • id: 26201985
    {'hecke_orbit_code': 9007199288296360, 'n': 45, 'trace_an': 0}
  • id: 26201986
    {'hecke_orbit_code': 9007199288296360, 'n': 46, 'trace_an': 0}
  • id: 26201987
    {'hecke_orbit_code': 9007199288296360, 'n': 47, 'trace_an': 0}
  • id: 26201988
    {'hecke_orbit_code': 9007199288296360, 'n': 48, 'trace_an': 0}
  • id: 26201989
    {'hecke_orbit_code': 9007199288296360, 'n': 49, 'trace_an': -3}
  • id: 26201990
    {'hecke_orbit_code': 9007199288296360, 'n': 50, 'trace_an': 0}
  • id: 26201991
    {'hecke_orbit_code': 9007199288296360, 'n': 51, 'trace_an': 0}
  • id: 26201992
    {'hecke_orbit_code': 9007199288296360, 'n': 52, 'trace_an': 0}
  • id: 26201993
    {'hecke_orbit_code': 9007199288296360, 'n': 53, 'trace_an': -12}
  • id: 26201994
    {'hecke_orbit_code': 9007199288296360, 'n': 54, 'trace_an': 0}
  • id: 26201995
    {'hecke_orbit_code': 9007199288296360, 'n': 55, 'trace_an': 8}
  • id: 26201996
    {'hecke_orbit_code': 9007199288296360, 'n': 56, 'trace_an': 0}
  • id: 26201997
    {'hecke_orbit_code': 9007199288296360, 'n': 57, 'trace_an': 0}
  • id: 26201998
    {'hecke_orbit_code': 9007199288296360, 'n': 58, 'trace_an': 0}
  • id: 26201999
    {'hecke_orbit_code': 9007199288296360, 'n': 59, 'trace_an': -12}
  • id: 26202000
    {'hecke_orbit_code': 9007199288296360, 'n': 60, 'trace_an': 0}
  • id: 26202001
    {'hecke_orbit_code': 9007199288296360, 'n': 61, 'trace_an': -6}
  • id: 26202002
    {'hecke_orbit_code': 9007199288296360, 'n': 62, 'trace_an': 0}
  • id: 26202003
    {'hecke_orbit_code': 9007199288296360, 'n': 63, 'trace_an': 0}
  • id: 26202004
    {'hecke_orbit_code': 9007199288296360, 'n': 64, 'trace_an': 0}
  • id: 26202005
    {'hecke_orbit_code': 9007199288296360, 'n': 65, 'trace_an': 2}
  • id: 26202006
    {'hecke_orbit_code': 9007199288296360, 'n': 66, 'trace_an': 0}
  • id: 26202007
    {'hecke_orbit_code': 9007199288296360, 'n': 67, 'trace_an': -6}
  • id: 26202008
    {'hecke_orbit_code': 9007199288296360, 'n': 68, 'trace_an': 0}
  • id: 26202009
    {'hecke_orbit_code': 9007199288296360, 'n': 69, 'trace_an': 0}
  • id: 26202010
    {'hecke_orbit_code': 9007199288296360, 'n': 70, 'trace_an': 0}
  • id: 26202011
    {'hecke_orbit_code': 9007199288296360, 'n': 71, 'trace_an': 8}
  • id: 26202012
    {'hecke_orbit_code': 9007199288296360, 'n': 72, 'trace_an': 0}
  • id: 26202013
    {'hecke_orbit_code': 9007199288296360, 'n': 73, 'trace_an': -2}
  • id: 26202014
    {'hecke_orbit_code': 9007199288296360, 'n': 74, 'trace_an': 0}
  • id: 26202015
    {'hecke_orbit_code': 9007199288296360, 'n': 75, 'trace_an': 0}
  • id: 26202016
    {'hecke_orbit_code': 9007199288296360, 'n': 76, 'trace_an': 0}
  • id: 26202017
    {'hecke_orbit_code': 9007199288296360, 'n': 77, 'trace_an': -8}
  • id: 26202018
    {'hecke_orbit_code': 9007199288296360, 'n': 78, 'trace_an': 0}
  • id: 26202019
    {'hecke_orbit_code': 9007199288296360, 'n': 79, 'trace_an': 12}
  • id: 26202020
    {'hecke_orbit_code': 9007199288296360, 'n': 80, 'trace_an': 0}
  • id: 26202021
    {'hecke_orbit_code': 9007199288296360, 'n': 81, 'trace_an': 0}
  • id: 26202022
    {'hecke_orbit_code': 9007199288296360, 'n': 82, 'trace_an': 0}
  • id: 26202023
    {'hecke_orbit_code': 9007199288296360, 'n': 83, 'trace_an': 4}
  • id: 26202024
    {'hecke_orbit_code': 9007199288296360, 'n': 84, 'trace_an': 0}
  • id: 26202025
    {'hecke_orbit_code': 9007199288296360, 'n': 85, 'trace_an': 0}
  • id: 26202026
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  • id: 26202027
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  • id: 26202030
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  • id: 26202031
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  • id: 26202032
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  • id: 26202039
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  • id: 26202041
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  • id: 26202042
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  • id: 26202043
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  • id: 26202044
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  • id: 26202045
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  • id: 26202046
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  • id: 26202047
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  • id: 26202048
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  • id: 26202049
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  • id: 26202050
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  • id: 26202051
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  • id: 26202052
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  • id: 26202053
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  • id: 26202054
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  • id: 26202055
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  • id: 26202056
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  • id: 26202057
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  • id: 26202058
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  • id: 26202059
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  • id: 26202060
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  • id: 26202062
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  • id: 26202063
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  • id: 26202064
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  • id: 26202067
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  • id: 26202068
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  • id: 26202069
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  • id: 26202070
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  • id: 26202071
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  • id: 26202072
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  • id: 26202073
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  • id: 26202074
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  • id: 26202075
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  • id: 26202076
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  • id: 26202077
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  • id: 26202078
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  • id: 26202079
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  • id: 26202080
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  • id: 26202081
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  • id: 26202082
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  • id: 26202083
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  • id: 26202084
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  • id: 26202085
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  • id: 26202086
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  • id: 26202087
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  • id: 26202088
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  • id: 26202089
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  • id: 26202090
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  • id: 26202091
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  • id: 26202092
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  • id: 26202093
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  • id: 26202094
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  • id: 26202095
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  • id: 26202096
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  • id: 26202097
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  • id: 26202098
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  • id: 26202099
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  • id: 26202100
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  • id: 26202101
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  • id: 26202102
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  • id: 26202103
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  • id: 26202104
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  • id: 26202105
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  • id: 26202106
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  • id: 26202107
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  • id: 26202108
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  • id: 26202109
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  • id: 26202110
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  • id: 26202111
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  • id: 26202112
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  • id: 26202113
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  • id: 26202114
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  • id: 26202115
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  • id: 26202116
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  • id: 26202117
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  • id: 26202118
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  • id: 26202119
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  • id: 26202120
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  • id: 26202121
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  • id: 26202122
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  • id: 26202123
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  • id: 26202124
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  • id: 26202125
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  • id: 26202126
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  • id: 26202127
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  • id: 26202128
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  • id: 26202129
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  • id: 26202130
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  • id: 26202131
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  • id: 26202132
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  • id: 26202133
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  • id: 26202134
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  • id: 26202135
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  • id: 26202136
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  • id: 26202137
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  • id: 26202138
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  • id: 26202139
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  • id: 26202140
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  • id: 26202141
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  • id: 26202142
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  • id: 26202143
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  • id: 26202144
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  • id: 26202145
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  • id: 26202146
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  • id: 26202147
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  • id: 26202148
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  • id: 26202149
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  • id: 26202150
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  • id: 26202151
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  • id: 26202152
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  • id: 26202153
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  • id: 26202154
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  • id: 26202155
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  • id: 26202156
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  • id: 26202157
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  • id: 26202158
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  • id: 26202159
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  • id: 26202160
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  • id: 26202161
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  • id: 26202162
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  • id: 26202163
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  • id: 26202164
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  • id: 26202165
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  • id: 26202166
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  • id: 26202167
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  • id: 26202168
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  • id: 26202169
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  • id: 26202170
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  • id: 26202171
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  • id: 26202172
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  • id: 26202173
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  • id: 26202174
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  • id: 26202175
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  • id: 26202176
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  • id: 26202177
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  • id: 26202178
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  • id: 26202179
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  • id: 26202180
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  • id: 26202181
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  • id: 26202182
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  • id: 26202183
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  • id: 26202184
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  • id: 26202185
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  • id: 26202186
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  • id: 26202187
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  • id: 26202188
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  • id: 26202189
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  • id: 26202190
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  • id: 26202191
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  • id: 26202192
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  • id: 26202193
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  • id: 26202194
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  • id: 26202195
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  • id: 26202196
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  • id: 26202197
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  • id: 26202198
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