Newform data - 435.2.a.i

Formats: - HTML - YAML - JSON - 2025-05-20T13:13:52.081574

• 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': 1740, 'analytic_conductor': 3.4734924879256965, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [29, 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': [435, 1, [146, 262, 31], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 469, 'field_disc_factorization': [[7, 1], [67, 1]], 'field_poly': [4, -5, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [4, -5, -1, 1]], [7, [-14, -7, 4, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052518835, 'hecke_ring_generator_nbound': 2, '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': '435.2.a.i', 'level': 435, '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': True, 'level_primes': [3, 5, 29], 'level_radical': 435, 'minimal_twist': '435.2.a.i', 'nf_label': '3.3.469.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}-q^{3}+(2+\\beta _{2})q^{4}+q^{5}-\\beta _{1}q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '435.2.a', 'trace_display': [1, -3, 3, -4], 'trace_hash': 2251998030427972588, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.036', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.771', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '20.222', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '215.443', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.007', 'prec': 17}, 'traces': [3, 1, -3, 5, 3, -1, -4, 0, 3, 1, 9, -5, 6, 9, -3, 1, 2, 1, -4, 5, 4, 3, 1, 0, 3, 13, -3, -21, -3, -1, 0, 11, -9, 11, -4, 5, 13, -2, -6, 0, 13, -9, -13, 15, 3, -32, 2, -1, 9, 1, -2, 25, -3, -1, 9, -4, 4, -1, 22, -5, 10, 0, -4, -20, 6, -3, -28, -11, -1, 9, 0, 0, 3, -28, -3, -36, -12, -13, -2, 1, 3, -6, -15, 21, 2, -36, 3, 0, 30, 1, -12, -14, 0, -9, -4, -11, -1, -50, 9, 5, 23, -11, -14, 26, 4, -34, -12, -5, -11, 3, -13, 9, 18, 2, 1, -5, 6, -14, 22, 0, -6, 4, -13, 0, 3, 9, 3, -19, 13, 13, 18, -15, 34, 23, -3, -4, -4, 32, -7, -21, -2, 64, 18, 1, -3, -8, -9, 6, 16, -1, -7, -30, 2, 27, 0, -25, 16, 22, 3, 11, -18, 1, -27, 36, -9, 6, 16, 4, -1, 11, -4, -8, 19, 1, -4, 3, -22, -23, 16, 5, 7, -15, -10, -48, 13, 0, 6, 47, 4, -2, 15, 20, -10, -54, -6, 28, 19, 3, -29, 0, 28, 7, 4, 11, 13, -68, 1, 13, -12, -9, -2, -50, 0, 18, -13, 0, 0, -5, -3, 15, 0, 28, -6, -21, 3, 59, -25, 36, 18, -32, 12, 0, 13, 13, 2, 36, 2, -25, 10, -1, 23, -2, -3, 46, 9, 6, -38, 0, 15, 1, 22, -21, 3, 10, -2, -41, -45, 36, -34, 25, -3, 59, -16, 0, -3, -10, -30, -31, -6, -1, 6, 11, 12, 22, 9, 14, -16, -3, 0, -4, 22, 9, 46, 2, 4, 39, -42, 11, -25, -1, 1, 78, 6, 50, 22, -48, -9, -16, -46, -5, -28, 8, -23, -2, 10, 11, 35, -63, 14, 0, 33, -26, 12, 6, -4, 56, 14, 34, -9, -20, 12, 100, 26, 5, 6, -42, 11, 4, -56, -3, 32, -10, 13, -36, -28, -9, -58, 76, -18, -11, 0, -2, -50, -18, -1, 40, -67, 5, -37, 9, -6, 33, -62, 14, 0, 5, -22, 28, -41, 0, 7, 45, 6, -35, 3, -4, 27, -32, 13, -28, 16, 0, -12, 33, -3, 34, -6, -9, 12, -36, -3, -48, -5, 19, -12, 38, -13, -18, -35, -13, -16, -40, -18, -26, -2, 15, 42, -9, -34, 1, -54, -23, 0, 9, 3, -9, 39, 4, -2, -6, 4, 4, -50, -32, -15, -15, 7, -6, -14, 21, -16, 2, 2, -78, 2, -64, -42, 10, -18, -36, 22, -1, 33, 0, 3, -77, 30, 8, -36, 0, 9, 11, 16, -6, 30, -33, -16, 80, -9, 1, 39, 17, 7, -62, -12, 30, -40, 90, -2, -14, 49, -27, -56, -1, 0, 38, 2, 25, 54, -9, -16, -22, -39, -22, -4, 21, -3, -38, -52, -11, -22, -57, 18, -10, -1, -1, 8, 30, 27, -50, 36, -36, -2, -78, 9, 0, 62, -6, -84, 5, -16, 103, 34, -4, 23, -96, 1, -68, 60, -11, -86, -40, 4, -48, -14, 8, 6, 136, -19, 26, 28, -1, 42, 17, 4, -8, 0, -3, 44, -34, 22, 56, 30, 23, -12, 48, -16, 31, 27, -5, 38, -82, -7, 1, -11, 15, 38, 82, 10, 3, 4, 48, -34, 135, -13, -41, 17, 0, -44, 9, -6, 114, 22, -47, 18, -4, -4, 66, 42, 2, 37, 75, -15, 70, 1, -20, -18, -20, 10, -5, 16, 54, -9, 64, 6, -51, 10, -28, 0, -14, -19, -28, -20, -3, 22, 26, 29, -124, 46, 0, -40, 56, -28, -26, -6, -7, -2, 16, -4, 4, 38, -11, 78, 0, -13, -12, -30, 68, -74, 0, -1, 11, -28, -13, 3, -95, 12, 56, -8, 9, 16, 82, 2, -47, 3, 50, -22, -3, 0, -19, 7, -18, 114, -56, 13, -14, 33, 0, 66, 13, 0, -90, -92, 5, 18, -6, 3, 35, -23, -15, 9, -98, 0, 26, 34, -28, -1, 84, 6, 23, 30, 21, -30, -62, -3, 74, 46, -59, -36, -4, 25, 0, 73, -36, -4, 123, -18, -36, -84, 32, 4, 106, -12, -12, -7, 0, -16, 38, -13, -21, 16, -13, 14, -60, -2, -22, -2, -36, 59, 64, -2, -78, 0, 25, 18, 86, -10, 20, 34, 1, -72, 45, -23, 13, -3, 2, -12, -26, 3, -8, -54, -46, 56, 84, -9, 84, -84, -6, -26, 6, 38, 90, -14, 0, 16, -66, -15, -33, 8, -1, -4, -9, -22, -13, -7, 21, 71, -14, -3, -30, -30, -10, 72, 38, 2, -54, 22, 41, 2, 27, 45, -74, 18, -36, 0, -70, 34, -139, -46, -25, 0, 36, 3, -50, 16, -59, -32, 16, 16, 22, 42, 0, 50, -26, 3, -19, -6, 10, -52, 11, 30, -166, 9, 31, -18, 0, 6, -30, 21, 1, 39, 21, -6, -84, -27, -11, -10, 66, -12, 36, -40, -22, -34, -36, -9, 130, -34, -14, 86, 6, 16, -74, -60, 3, 16, -108, 0, 38, 42, 4, 3, 34, -22, 114, -1, -9, 8, -34, -46, 11, 117, -2, 33, 28, -4, 52, 23, -39, 4, -8, 42, -144, 38, -11, 19, 106, 25, 0, -6, 1, -8, -60, -1, 160, -4, -78, -24, -85, -6, 3, -93, -50, -20, 15, -22, -87, 22, 48, 78, -23, 9, 33, -90, 16, 16, -47, 46, 83, 0, 5, 10, -18, 28, 40, 7, -8, -19, -58, 23, -15, 51, 2, -45, 17, -10, -26, 42, -11, -100, -48, -35, -38, 66, 63, 13, 11, -14, -11, -64, 0, -38, 96, -33, 104, 6, 26, -104, -181, -12, 47, -68, -6, 21, -14, 4, -108, 34, -56, 70, -2, -14, -48, -52, -34, 15, 74, 9, -16, -60, 20, -93, -72, -12, 7, -10, -100, -7, 0, -26, -54, -73, -5, 38, 132, -6, 4, -89, 42, 90, 28, -11, -32, 34, -4, 19, -11, 56, -124, 77, 3, 31, 0, -32, -192, -29, 10, -27, -123, -13, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1, 0, 0], [0, 1, 0], [-1, 0, 0], [2, 0, 1], [1, 0, 0], [0, -1, 0], [-2, 1, -1], [0, 1, 1], [1, 0, 0], [0, 1, 0], [3, 0, 0], [-2, 0, -1], [2, 1, 1], [4, -3, 0], [-1, 0, 0], [0, 1, 0], [0, 1, -1], [0, 1, 0], [-2, 0, -2], [2, 0, 1], [2, -1, 1], [0, 3, 0], [1, -3, -1], [0, -1, -1], [1, 0, 0], [4, 3, 2], [-1, 0, 0], [-8, 2, -1], [-1, 0, 0], [0, -1, 0], [0, 0, 0], [4, -2, -1], [-3, 0, 0], [4, -1, 0], [-2, 1, -1], [2, 0, 1], [5, -3, -1], [0, -4, -2], [-2, -1, -1], [0, 1, 1], [5, -1, 1], [-4, 3, 0], [-3, -3, 1], [6, 0, 3], [1, 0, 0], [-12, 0, -4], [2, -1, 3], [0, -1, 0], [5, -5, 1], [0, 1, 0], [0, -1, 1], [8, 4, 3], [-1, -3, -3], [0, -1, 0], [3, 0, 0], [0, -3, 1], [2, 0, 2], [0, -1, 0], [8, -2, 0], [-2, 0, -1], [4, 0, 2], [0, 0, 0], [-2, 1, -1], [-8, 1, -3], [2, 1, 1], [0, -3, 0], [-10, 3, 1], [-4, 2, 1], [-1, 3, 1], [4, -3, 0], [-2, 6, 0], [0, 1, 1], [3, -1, 5], [-12, 4, -4], [-1, 0, 0], [-12, -2, -2], [-6, 3, -3], [-4, -3, -2], [0, 2, 4], [0, 1, 0], [1, 0, 0], [-4, 6, 0], [-5, 1, 1], [8, -2, 1], [0, 1, -1], [-12, -2, -2], [1, 0, 0], [0, 3, 3], [10, -3, -3], [0, 1, 0], [-4, -1, -1], [-2, -10, -2], [0, 0, 0], [-4, 5, 2], [-2, 0, -2], [-4, 2, 1], [1, -5, -1], [-20, 6, -4], [3, 0, 0], [2, 0, 1]], 'ap': [[0, 1, 0], [-1, 0, 0], [1, 0, 0], [-2, 1, -1], [3, 0, 0], [2, 1, 1], [0, 1, -1], [-2, 0, -2], [1, -3, -1], [-1, 0, 0], [0, 0, 0], [5, -3, -1], [5, -1, 1], [-3, -3, 1], [2, -1, 3], [-1, -3, -3], [8, -2, 0], [4, 0, 2], [-10, 3, 1], [-2, 6, 0], [3, -1, 5], [0, 2, 4], [-5, 1, 1], [10, -3, -3], [1, -5, -1], [7, 0, -2], [-2, -6, 2], [-4, 2, 2], [-5, 0, -4], [4, 5, -1], [-1, 1, -5], [4, 5, -1], [0, 2, 6], [-3, 0, -2], [6, -2, 0], [-3, 1, -1], [6, 0, 2], [-9, -3, -3], [8, -4, 4], [7, 3, 5], [6, 2, 4], [1, 4, 0], [7, -5, 1], [-6, 4, -4], [7, -3, -1], [-9, 0, 2], [2, 0, 8], [0, -3, 3], [-7, -5, -1], [2, 8, -4], [5, 3, 5], [6, -4, 4], [9, -6, -2], [4, 9, -1], [-15, -3, -3], [-8, 0, -8], [-2, 3, 3], [6, -8, 4], [-8, 13, 5], [4, 10, 0], [18, -2, 6], [4, -5, 1], [11, -1, -3], [11, 0, 0], [4, -9, -9], [8, -5, 5], [12, -10, -6], [-18, -4, 0], [-23, 1, -1], [-17, 5, -9], [-22, 0, -4], [-13, 3, 5], [7, 7, 1], [0, -6, 6], [8, -2, 10], [1, -5, 3], [-7, -12, 2], [18, -4, 8], [-12, -14, 4], [0, 6, 8], [-6, 4, 0], [-10, 4, -10], [10, -14, -6], [7, 9, -3], [-8, -7, 5], [12, -9, 11], [-5, 8, 2], [-16, 3, -5], [17, -5, -3], [-22, 3, -7], [-6, 10, -10], [-16, 0, 4], [0, 12, 4], [12, -4, -4], [-24, -9, 3], [6, 11, -5], [22, -8, -2], [10, 2, 4], [12, 3, -3], [14, 0, 4], [12, -1, -3], [7, 5, 9], [6, 5, 1], [18, -3, 9], [5, 17, -5], [-6, -2, -2], [4, 6, 8], [-10, 0, -10], [12, 9, -1], [-12, -2, 2], [0, -10, -8], [22, 9, -3], [-14, 0, -12], [-26, 8, 4], [8, 5, 13], [-5, 14, -8], [40, -3, 3], [15, -1, 11], [-30, -3, -1], [-13, 2, -14], [-1, -2, -14], [-10, 5, 5], [8, 17, -5], [29, -7, 7], [4, -15, -7], [10, -18, -4], [15, 5, -9], [12, -4, -2], [-4, -4, -4], [22, -2, 8], [-4, -4, 10], [-10, 3, -13], [8, -16, 12], [23, -9, -11], [-4, -6, 12], [0, 8, 6], [2, 8, -4], [-8, -8, 0], [-2, 0, 0], [5, -2, -8], [15, -16, -10], [-8, -10, 6], [-16, 16, 2], [-6, -10, 6], [30, -10, -6], [16, -7, -1], [3, 19, -5], [3, 1, -13], [-6, 20, -2], [8, 16, 2], [-4, -14, -2], [-29, -2, 4], [-4, -4, 4], [6, -11, -15], [-1, -11, 5], [9, 14, -10], [-36, 1, -7], [-28, 10, -10], [-40, 5, -11], [-18, -6, 8], [14, 3, 11], [-14, -2, 8], [3, -7, 9], [-25, 3, 1], [-29, 3, 5], [14, -6, 2], [7, 10, 0], [-15, 5, -13]], 'char_orbit_index': 1, 'field_poly': [4, -5, -1, 1], 'hecke_orbit_code': 36028797052518835, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0], [0, 1, 0], [4, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0], [0, 1, 0], [-4, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 3, 'label': '435.2.a.i', 'level': 435, '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': [4, 1, 3, 0, 3, 2, 0, 6], 'Nk2': 1740, 'analytic_conductor': 3.4734924879256965, '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': [435, 1, [146, 262, 31], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 57, 'dim': 19, 'eis_dim': 7, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 33554867, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 3, 4], 'label': '435.2.a', 'level': 435, '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': True, 'level_primes': [3, 5, 29], 'level_radical': 435, 'mf_dim': 64, 'mf_new_dim': 19, 'num_forms': 10, 'plus_dim': 6, 'prim_orbit_index': 1, 'relative_dim': 19, 'sturm_bound': 120, 'trace_bound': 4, 'trace_display': [-3, 3, -1, 0], 'traces': [19, -3, 3, 21, -1, 1, 0, -15, 19, 5, 4, 5, 10, 0, 3, 29, -10, -3, 4, 9, 8, -24, -16, 9, 19, -18, 3, -20, -1, -3, -8, -23, -12, 22, 0, 21, -6, -4, 2, 9, 14, -12, -4, 28, -1, -40, -8, -3, 35, -3, -2, 26, -22, 1, 12, -48, 20, 1, 28, 5, -6, 16, 0, 41, 18, -36, -36, -46, 0, 0, -8, -15, -10, 38, 3, -68, -40, -30, 32, 1, 19, 2, -36, 32, 6, -68, 11, -68, 14, 5, 0, -16, 8, 28, -4, -11, 6, -35, 4, 21, -6, 2, -16, 22, 8, -66, -12, 5, 6, -12, 6, 20, -42, 20, 4, -7, 10, -20, -8, -15, 11, 46, -2, -8, -1, 0, 48, -175, 8, -2, 4, -16, -8, 44, 3, -46, -42, 40, -56, -32, 0, -24, 48, 29, 7, -46, 11, 14, 26, 1, 28, 44, -10, 76, 32, 6, -22, 64, -22, -7, 0, -3, 36, 138, -8, 28, -8, -40, 61, 42, 4, 20, 74, -3, 0, -12, -20, -130, -52, 9, 38, 72, 26, -24, 50, -24, -80, -16, 8, -12, -8, 29, -2, 106, 2, -103, 66, -24, 20, -15, 36, 74, -8, -26, 22, -40, -16, 74, -24, -24, -28, -90, 0, -68, -36, 9, 16, 30, -22, 28, 76, -2, -16, -56, 19, -10, -84, -36, 74, -24, 56, 9, -34, -18, 0, 116, -8, -12, -24, 29, 74, 121, 3, -66, 39, -62, -48, 128, -4, 5, 12, -20, -32, 32, -10, 149, -2, 12, -72, 22, -1, 168, -24, -68, 6, -24, -18, 32, 42, -3, 8, 122, 64, 42, 4, -32, -54, 148, -8, -48, 46, -32, 68, -32, -4, -60, -192, -23, -31, -3, 18, 154, 34, -3, 4, 102, -12, -42, -104, 5, 32, 56, -14, -204, 34, 22, -20, 48, -24, -40, 40, -122, -74, 142, 0, 0, -6, -18, -8, 49, -4, 0, 16, 21, 10, -4, 10, 10, -120, -12, 20, -12, -6, -64, 4, -64, -82, 131, -10, -30, 104, -4, 72, -172, -16, 30, -52, 17, -50, 0, 2, -216, -82, 12, -24, 154, -40, -4, -176, 9, 55, 182, 63, 52, -2, -18, -16, 96, 14, -34, 8, 72, 26, 48, 3, -24, 2, -12, -76, -92, -60, 56, 0, -35, 24, -78, -4, -102, 10, -42, 40, 145, -68, -138, -48, 28, 42, -32, -8, 29, -42, -88, 48, 6, -1, -12, -32, -6, -50, -54, -26, -72, 40, -40, -40, -98, 68, 176, -44, 0, -6, -4, -8, -50, -10, -104, -40, -148, -16, -68, 8, -3, -74, -96, 7, 10, 0, 42, -104, -108, 35, 80, -20, 78, 78, 24, 10, 40, 14, -3, 100, -30, 8, 44, -32, 60, -138, 166, -2, -24, -22, 48, 24, 1, 16, -6, -52, 26, 56, 0, 50, 196, -112, -56, 4, 32, -22, -8, -144, -63, 36, 2, 32, 29, -10, 1, -48, 342, 8, -99, -76, 106, 6, -160, 12, -88, -24, 52, -84, 9, -48, -112, -48, -48, 18, -80, 5, 128, 170, 18, 72, -287, 20, 34, -32, -44, 40, 0, 42, -90, -34, 1, -100, -220, 8, 72, -144, 56, -17, -114, 28, 248, 84, 50, -44, -68, -76, 154, -212, 5, -30, 32, 50, 86, 18, 52, 132, 58, -6, -24, 4, 184, -72, 102, -14, -120, 178, 16, -56, -72, -96, 218, -76, 44, 22, -52, 0, 32, 30, -28, 24, 120, 8, -88, -16, 41, -114, -97, 22, 17, -56, 98, 112, -38, 18, 18, -20, -3, 112, -20, 82, -114, 134, -36, -8, -242, 72, 112, 64, 9, 62, -40, -36, 64, 43, -18, 56, 164, -8, 102, 56, -46, 122, 76, -14, 48, -26, 184, -140, 112, 0, -28, -40, 102, 19, -38, -72, -114, 140, 0, 56, 72, -36, 26, -40, 182, -86, -36, -8, -23, 222, -52, 212, -72, 4, -72, 40, -15, -176, -18, 32, 76, 42, 74, 4, 234, -10, 68, -52, 12, -82, -444, 20, 12, 48, 38, 8, 48, -32, 44, 8, -4, -82, -150, 3, -129, 178, -126, -176, 66, -52, 24, 44, -68, -34, 104, 74, 140, 188, 24, 92, 246, -40, 180, 20, -15, 12, 54, -114, -20, 82, -30, 0, 196, -16, 50, 56, 180, 134, 24, 32, -334, -80, 32, -32, 36, -112, 32, -88, 1, -48, -87, -42, 42, -1, 33, 248, -248, 19, -30, 40, -10, 106, 16, 27, 40, 24, 2, 12, 22, -48, 144, -112, -80, -22, 14, -36, -164, 160, -3, 216, -168, -124, -30, 56, 32, -38, -116, -28, 60, 54, 112, 120, -48, 6, -168, -96, -3, 142, 48, 126, 146, -22, -68, -8, 122, 64, -126, -216, -58, -48, 24, 11, -247, 50, -76, -236, -2, 64, -32, 24, -68, -92, -186, 18, 204, 146, -16, 144, -23, 14, -222, 48, 140, 0, -272, 26, -34, 102, 5, -16, 24, -96, -80, -92, -66, -56, 74, 0, 122, 170, 74, -16, -104, -12, -112, 100, -16, -30, 20, 26, -26, -130, 120, 24, -224, 8, 52, 0, -40, 19, -98, -122, -12, 25, 28, 8, -34, -36, 22, 136, -64, 34, 8, -4, 92, -66, -88, -12, -100, 48, -136, -88, -11, 38, 2, 41, -88, 120, 5, 40, -74, 6, 176, 0, -38, 178, -256, 42, 84, -66, -35, -52, -180, -36, 16, -128, 110, 88, -46, 4, 12, -24, -18, -12, -160, -32, -266, -8, 21, -12, -312, 136, 146, 106, 128, -4, -236, -6, 16, 64, -44, 56, -22, -38, 62, 120, 2, -168, 88, -16, 102, 200, 68, -6, -232, -16, -11, 38, 0, -68, 10, -8, 68, -8, 22, -130, -360, -2, 96, -70, -10, 128, -52, 8, -80, -124, -16, 204, -4, 10, -224, -242, -66, 0, -88, 4, 0, -80, 141, -93, -140, -12, 110, -18, -200, 112, -51, 16, -110, -36, 5, -256, 216, 2, -202, -202, 4, 128, 81, 6, 12, 232, 42, 30, 42, 48, -176, 296, -12, -68, 48, -36, -32, -56, -100, 42, -228, 6, 9], '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: 317361
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '435.2.a.i', 'source_level': 435, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '435.2.a.i', 'target_level': 435, 'twist_class_label': '435.2.a.i', 'twist_class_level': 435, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 317362
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '435.2.a.i', 'source_level': 435, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '1305.2.a.q', 'target_level': 1305, 'twist_class_label': '435.2.a.i', 'twist_class_level': 435, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 317363
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '435.2.a.i', 'source_level': 435, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 21, 'target_is_minimal': False, 'target_label': '2175.2.a.u', 'target_level': 2175, 'twist_class_label': '435.2.a.i', 'twist_class_level': 435, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 317364
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '435.2.a.i', 'source_level': 435, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '2175.2.c.m', 'target_level': 2175, 'twist_class_label': '435.2.a.i', 'twist_class_level': 435, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 317365
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '435.2.a.i', 'source_level': 435, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 32, 'target_is_minimal': False, 'target_label': '6525.2.a.bf', 'target_level': 6525, 'twist_class_label': '435.2.a.i', 'twist_class_level': 435, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 317366
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '435.2.a.i', 'source_level': 435, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 64, 'target_is_minimal': False, 'target_label': '6960.2.a.cl', 'target_level': 6960, 'twist_class_label': '435.2.a.i', 'twist_class_level': 435, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 883025
    {'charpoly_factorization': [[[4, -5, -1, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 2}
  • id: 883026
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 36028797052518835, 'p': 3}
  • id: 883027
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 36028797052518835, 'p': 5}
  • id: 883028
    {'charpoly_factorization': [[[-14, -7, 4, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 7}
  • id: 883029
    {'charpoly_factorization': [[[-3, 1], 3]], 'hecke_orbit_code': 36028797052518835, 'p': 11}
  • id: 883030
    {'charpoly_factorization': [[[2, -1, -6, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 13}
  • id: 883031
    {'charpoly_factorization': [[[8, -11, -2, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 17}
  • id: 883032
    {'charpoly_factorization': [[[-88, -24, 4, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 19}
  • id: 883033
    {'charpoly_factorization': [[[112, -56, -1, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 23}
  • id: 883034
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 36028797052518835, 'p': 29}
  • id: 883035
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 36028797052518835, 'p': 31}
  • id: 883036
    {'charpoly_factorization': [[[256, 0, -13, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 37}
  • id: 883037
    {'charpoly_factorization': [[[-28, 44, -13, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 41}
  • id: 883038
    {'charpoly_factorization': [[[-308, 2, 13, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 43}
  • id: 883039
    {'charpoly_factorization': [[[266, -69, -2, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 47}
  • id: 883040
    {'charpoly_factorization': [[[316, -114, 3, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 53}
  • id: 883041
    {'charpoly_factorization': [[[-256, 140, -22, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 59}
  • id: 883042
    {'charpoly_factorization': [[[112, 4, -10, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 61}
  • id: 883043
    {'charpoly_factorization': [[[194, 205, 28, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 67}
  • id: 883044
    {'charpoly_factorization': [[[488, -192, 0, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 71}
  • id: 883045
    {'charpoly_factorization': [[[1168, -184, -3, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 73}
  • id: 883046
    {'charpoly_factorization': [[[-224, -140, 2, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 79}
  • id: 883047
    {'charpoly_factorization': [[[44, 62, 15, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 83}
  • id: 883048
    {'charpoly_factorization': [[[602, 183, -30, 1], 1]], 'hecke_orbit_code': 36028797052518835, 'p': 89}
  • id: 883049
    {'charpoly_factorization': [[[76, -142, 1, 1], 1]], 'hecke_orbit_code': 36028797052518835, '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': 9, 'label': '435.2.a.i', 'level': 435, '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: 50290111
    {'hecke_orbit_code': 36028797052518835, 'n': 1, 'trace_an': 3}
  • id: 50290112
    {'hecke_orbit_code': 36028797052518835, 'n': 2, 'trace_an': 1}
  • id: 50290113
    {'hecke_orbit_code': 36028797052518835, 'n': 3, 'trace_an': -3}
  • id: 50290114
    {'hecke_orbit_code': 36028797052518835, 'n': 4, 'trace_an': 5}
  • id: 50290115
    {'hecke_orbit_code': 36028797052518835, 'n': 5, 'trace_an': 3}
  • id: 50290116
    {'hecke_orbit_code': 36028797052518835, 'n': 6, 'trace_an': -1}
  • id: 50290117
    {'hecke_orbit_code': 36028797052518835, 'n': 7, 'trace_an': -4}
  • id: 50290118
    {'hecke_orbit_code': 36028797052518835, 'n': 8, 'trace_an': 0}
  • id: 50290119
    {'hecke_orbit_code': 36028797052518835, 'n': 9, 'trace_an': 3}
  • id: 50290120
    {'hecke_orbit_code': 36028797052518835, 'n': 10, 'trace_an': 1}
  • id: 50290121
    {'hecke_orbit_code': 36028797052518835, 'n': 11, 'trace_an': 9}
  • id: 50290122
    {'hecke_orbit_code': 36028797052518835, 'n': 12, 'trace_an': -5}
  • id: 50290123
    {'hecke_orbit_code': 36028797052518835, 'n': 13, 'trace_an': 6}
  • id: 50290124
    {'hecke_orbit_code': 36028797052518835, 'n': 14, 'trace_an': 9}
  • id: 50290125
    {'hecke_orbit_code': 36028797052518835, 'n': 15, 'trace_an': -3}
  • id: 50290126
    {'hecke_orbit_code': 36028797052518835, 'n': 16, 'trace_an': 1}
  • id: 50290127
    {'hecke_orbit_code': 36028797052518835, 'n': 17, 'trace_an': 2}
  • id: 50290128
    {'hecke_orbit_code': 36028797052518835, 'n': 18, 'trace_an': 1}
  • id: 50290129
    {'hecke_orbit_code': 36028797052518835, 'n': 19, 'trace_an': -4}
  • id: 50290130
    {'hecke_orbit_code': 36028797052518835, 'n': 20, 'trace_an': 5}
  • id: 50290131
    {'hecke_orbit_code': 36028797052518835, 'n': 21, 'trace_an': 4}
  • id: 50290132
    {'hecke_orbit_code': 36028797052518835, 'n': 22, 'trace_an': 3}
  • id: 50290133
    {'hecke_orbit_code': 36028797052518835, 'n': 23, 'trace_an': 1}
  • id: 50290134
    {'hecke_orbit_code': 36028797052518835, 'n': 24, 'trace_an': 0}
  • id: 50290135
    {'hecke_orbit_code': 36028797052518835, 'n': 25, 'trace_an': 3}
  • id: 50290136
    {'hecke_orbit_code': 36028797052518835, 'n': 26, 'trace_an': 13}
  • id: 50290137
    {'hecke_orbit_code': 36028797052518835, 'n': 27, 'trace_an': -3}
  • id: 50290138
    {'hecke_orbit_code': 36028797052518835, 'n': 28, 'trace_an': -21}
  • id: 50290139
    {'hecke_orbit_code': 36028797052518835, 'n': 29, 'trace_an': -3}
  • id: 50290140
    {'hecke_orbit_code': 36028797052518835, 'n': 30, 'trace_an': -1}
  • id: 50290141
    {'hecke_orbit_code': 36028797052518835, 'n': 31, 'trace_an': 0}
  • id: 50290142
    {'hecke_orbit_code': 36028797052518835, 'n': 32, 'trace_an': 11}
  • id: 50290143
    {'hecke_orbit_code': 36028797052518835, 'n': 33, 'trace_an': -9}
  • id: 50290144
    {'hecke_orbit_code': 36028797052518835, 'n': 34, 'trace_an': 11}
  • id: 50290145
    {'hecke_orbit_code': 36028797052518835, 'n': 35, 'trace_an': -4}
  • id: 50290146
    {'hecke_orbit_code': 36028797052518835, 'n': 36, 'trace_an': 5}
  • id: 50290147
    {'hecke_orbit_code': 36028797052518835, 'n': 37, 'trace_an': 13}
  • id: 50290148
    {'hecke_orbit_code': 36028797052518835, 'n': 38, 'trace_an': -2}
  • id: 50290149
    {'hecke_orbit_code': 36028797052518835, 'n': 39, 'trace_an': -6}
  • id: 50290150
    {'hecke_orbit_code': 36028797052518835, 'n': 40, 'trace_an': 0}
  • id: 50290151
    {'hecke_orbit_code': 36028797052518835, 'n': 41, 'trace_an': 13}
  • id: 50290152
    {'hecke_orbit_code': 36028797052518835, 'n': 42, 'trace_an': -9}
  • id: 50290153
    {'hecke_orbit_code': 36028797052518835, 'n': 43, 'trace_an': -13}
  • id: 50290154
    {'hecke_orbit_code': 36028797052518835, 'n': 44, 'trace_an': 15}
  • id: 50290155
    {'hecke_orbit_code': 36028797052518835, 'n': 45, 'trace_an': 3}
  • id: 50290156
    {'hecke_orbit_code': 36028797052518835, 'n': 46, 'trace_an': -32}
  • id: 50290157
    {'hecke_orbit_code': 36028797052518835, 'n': 47, 'trace_an': 2}
  • id: 50290158
    {'hecke_orbit_code': 36028797052518835, 'n': 48, 'trace_an': -1}
  • id: 50290159
    {'hecke_orbit_code': 36028797052518835, 'n': 49, 'trace_an': 9}
  • id: 50290160
    {'hecke_orbit_code': 36028797052518835, 'n': 50, 'trace_an': 1}
  • id: 50290161
    {'hecke_orbit_code': 36028797052518835, 'n': 51, 'trace_an': -2}
  • id: 50290162
    {'hecke_orbit_code': 36028797052518835, 'n': 52, 'trace_an': 25}
  • id: 50290163
    {'hecke_orbit_code': 36028797052518835, 'n': 53, 'trace_an': -3}
  • id: 50290164
    {'hecke_orbit_code': 36028797052518835, 'n': 54, 'trace_an': -1}
  • id: 50290165
    {'hecke_orbit_code': 36028797052518835, 'n': 55, 'trace_an': 9}
  • id: 50290166
    {'hecke_orbit_code': 36028797052518835, 'n': 56, 'trace_an': -4}
  • id: 50290167
    {'hecke_orbit_code': 36028797052518835, 'n': 57, 'trace_an': 4}
  • id: 50290168
    {'hecke_orbit_code': 36028797052518835, 'n': 58, 'trace_an': -1}
  • id: 50290169
    {'hecke_orbit_code': 36028797052518835, 'n': 59, 'trace_an': 22}
  • id: 50290170
    {'hecke_orbit_code': 36028797052518835, 'n': 60, 'trace_an': -5}
  • id: 50290171
    {'hecke_orbit_code': 36028797052518835, 'n': 61, 'trace_an': 10}
  • id: 50290172
    {'hecke_orbit_code': 36028797052518835, 'n': 62, 'trace_an': 0}
  • id: 50290173
    {'hecke_orbit_code': 36028797052518835, 'n': 63, 'trace_an': -4}
  • id: 50290174
    {'hecke_orbit_code': 36028797052518835, 'n': 64, 'trace_an': -20}
  • id: 50290175
    {'hecke_orbit_code': 36028797052518835, 'n': 65, 'trace_an': 6}
  • id: 50290176
    {'hecke_orbit_code': 36028797052518835, 'n': 66, 'trace_an': -3}
  • id: 50290177
    {'hecke_orbit_code': 36028797052518835, 'n': 67, 'trace_an': -28}
  • id: 50290178
    {'hecke_orbit_code': 36028797052518835, 'n': 68, 'trace_an': -11}
  • id: 50290179
    {'hecke_orbit_code': 36028797052518835, 'n': 69, 'trace_an': -1}
  • id: 50290180
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  • id: 50290181
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  • id: 50290182
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  • id: 50290183
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  • id: 50290184
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  • id: 50290185
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  • id: 50290186
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  • id: 50290187
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  • id: 50290188
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  • id: 50290189
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  • id: 50290190
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  • id: 50290191
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  • id: 50290192
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  • id: 50290193
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  • id: 50290194
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  • id: 50290195
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  • id: 50290196
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  • id: 50290197
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  • id: 50290198
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  • id: 50290199
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  • id: 50290200
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  • id: 50290201
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  • id: 50290202
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  • id: 50290203
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  • id: 50290204
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  • id: 50290205
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  • id: 50290206
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  • id: 50290207
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  • id: 50290208
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  • id: 50290209
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  • id: 50290210
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  • id: 50290211
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  • id: 50290212
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  • id: 50290213
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  • id: 50290214
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  • id: 50290215
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  • id: 50290216
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  • id: 50290217
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  • id: 50290218
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  • id: 50290219
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  • id: 50290220
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  • id: 50290221
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  • id: 50290222
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  • id: 50290223
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  • id: 50290224
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  • id: 50290225
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  • id: 50290226
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  • id: 50290227
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  • id: 50290228
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  • id: 50290229
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  • id: 50290230
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  • id: 50290231
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  • id: 50290232
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  • id: 50290233
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  • id: 50290234
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  • id: 50290235
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  • id: 50290236
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  • id: 50290237
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  • id: 50290238
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  • id: 50290239
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  • id: 50290240
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  • id: 50290241
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  • id: 50290242
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  • id: 50290243
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  • id: 50290244
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  • id: 50290245
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  • id: 50290246
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  • id: 50290247
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  • id: 50290248
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  • id: 50290249
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  • id: 50290250
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  • id: 50290251
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  • id: 50290252
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  • id: 50290253
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  • id: 50290254
    {'hecke_orbit_code': 36028797052518835, 'n': 293, 'trace_an': 6}
  • id: 50290255
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  • id: 50290256
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  • id: 50290257
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  • id: 50290258
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  • id: 50290259
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  • id: 50290260
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  • id: 50290261
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  • id: 50290262
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  • id: 50290263
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  • id: 50290264
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  • id: 50290265
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  • id: 50290266
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  • id: 50290267
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  • id: 50290268
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  • id: 50290269
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  • id: 50290270
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  • id: 50290271
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  • id: 50290272
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  • id: 50290273
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  • id: 50290274
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  • id: 50290275
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  • id: 50290276
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  • id: 50290277
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  • id: 50290278
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  • id: 50290279
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  • id: 50290280
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  • id: 50290281
    {'hecke_orbit_code': 36028797052518835, 'n': 449, 'trace_an': -9}
  • id: 50290282
    {'hecke_orbit_code': 36028797052518835, 'n': 457, 'trace_an': -40}
  • id: 50290283
    {'hecke_orbit_code': 36028797052518835, 'n': 461, 'trace_an': 49}
  • id: 50290284
    {'hecke_orbit_code': 36028797052518835, 'n': 463, 'trace_an': -56}
  • id: 50290285
    {'hecke_orbit_code': 36028797052518835, 'n': 467, 'trace_an': 2}
  • id: 50290286
    {'hecke_orbit_code': 36028797052518835, 'n': 479, 'trace_an': -52}
  • id: 50290287
    {'hecke_orbit_code': 36028797052518835, 'n': 487, 'trace_an': 8}
  • id: 50290288
    {'hecke_orbit_code': 36028797052518835, 'n': 491, 'trace_an': 36}
  • id: 50290289
    {'hecke_orbit_code': 36028797052518835, 'n': 499, 'trace_an': -84}
  • id: 50290290
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  • id: 50290291
    {'hecke_orbit_code': 36028797052518835, 'n': 509, 'trace_an': 60}
  • id: 50290292
    {'hecke_orbit_code': 36028797052518835, 'n': 512, 'trace_an': -40}
  • id: 50290293
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  • id: 50290294
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  • id: 50290295
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  • id: 50290296
    {'hecke_orbit_code': 36028797052518835, 'n': 541, 'trace_an': 38}
  • id: 50290297
    {'hecke_orbit_code': 36028797052518835, 'n': 547, 'trace_an': 38}
  • id: 50290298
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  • id: 50290299
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  • id: 50290300
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  • id: 50290301
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  • id: 50290302
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  • id: 50290303
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  • id: 50290304
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  • id: 50290305
    {'hecke_orbit_code': 36028797052518835, 'n': 599, 'trace_an': 46}
  • id: 50290306
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  • id: 50290307
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  • id: 50290308
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  • id: 50290309
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  • id: 50290310
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  • id: 50290311
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  • id: 50290312
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  • id: 50290313
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  • id: 50290314
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  • id: 50290315
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  • id: 50290316
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  • id: 50290317
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  • id: 50290318
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  • id: 50290319
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  • id: 50290320
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  • id: 50290321
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  • id: 50290322
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  • id: 50290323
    {'hecke_orbit_code': 36028797052518835, 'n': 701, 'trace_an': 16}
  • id: 50290324
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  • id: 50290325
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  • id: 50290326
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  • id: 50290327
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  • id: 50290328
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  • id: 50290329
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  • id: 50290330
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  • id: 50290331
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  • id: 50290332
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  • id: 50290333
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  • id: 50290334
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  • id: 50290335
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  • id: 50290336
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  • id: 50290337
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  • id: 50290338
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  • id: 50290339
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  • id: 50290340
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  • id: 50290341
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  • id: 50290342
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  • id: 50290343
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  • id: 50290344
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  • id: 50290345
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  • id: 50290346
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  • id: 50290347
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  • id: 50290348
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  • id: 50290349
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  • id: 50290350
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  • id: 50290351
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  • id: 50290352
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  • id: 50290353
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  • id: 50290354
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  • id: 50290355
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  • id: 50290356
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  • id: 50290357
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  • id: 50290358
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  • id: 50290359
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  • id: 50290360
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  • id: 50290361
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  • id: 50290362
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  • id: 50290363
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  • id: 50290364
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  • id: 50290365
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  • id: 50290366
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  • id: 50290367
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  • id: 50290368
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