Newform data - 567.2.a.i

Formats: - HTML - YAML - JSON - 2026-06-12T20:24:23.719029

• 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': 2268, 'analytic_conductor': 4.527517794606598, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [7, 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': [567, 1, [407, 325], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 7056, 'field_disc_factorization': [[2, 4], [3, 2], [7, 2]], 'field_poly': [1, 0, -5, 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': 1, 'hecke_cutters': [[2, [1, 0, -5, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052518967, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '567.2.a.i', 'level': 567, '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': [3, 7], 'level_radical': 21, 'minimal_twist': '567.2.a.i', 'nf_label': '4.4.7056.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{3}q^{2}-\\beta _{2}q^{4}-2\\beta _{1}q^{5}-q^{7}+(\\beta _{1}+\\cdots)q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '567.2.a', 'trace_display': [0, 0, 0, -4], 'trace_hash': 64706752802231625, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.057', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.711', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.755', 'prec': 17}, {'__RealLiteral__': 0, 'data': '66.477', 'prec': 20}, {'__RealLiteral__': 0, 'data': '25.977', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1658.840', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.512', 'prec': 17}, 'traces': [4, 0, 0, 2, 0, 0, -4, 0, 0, 8, 0, 0, 16, 0, 0, 2, 0, 0, 4, 0, 0, 14, 0, 0, 20, 0, 0, -2, 0, 0, 0, 0, 0, 12, 0, 0, 12, 0, 0, -12, 0, 0, -16, 0, 0, -12, 0, 0, 4, 0, 0, 8, 0, 0, 28, 0, 0, -40, 0, 0, 28, 0, 0, -32, 0, 0, 16, 0, 0, -8, 0, 0, 24, 0, 0, 44, 0, 0, -16, 0, 0, -8, 0, 0, -24, 0, 0, 0, 0, 0, -16, 0, 0, -60, 0, 0, 12, 0, 0, -74, 0, 0, -4, 0, 0, -30, 0, 0, 24, 0, 0, -2, 0, 0, 24, 0, 0, 12, 0, 0, -16, 0, 0, -84, 0, 0, -48, 0, 0, 32, 0, 0, -4, 0, 0, 24, 0, 0, -12, 0, 0, -30, 0, 0, -32, 0, 0, 6, 0, 0, -64, 0, 0, -14, 0, 0, 40, 0, 0, 28, 0, 0, 40, 0, 0, -48, 0, 0, 12, 0, 0, 34, 0, 0, -20, 0, 0, -16, 0, 0, 16, 0, 0, -24, 0, 0, 0, 0, 0, 8, 0, 0, 56, 0, 0, 2, 0, 0, -12, 0, 0, 40, 0, 0, -40, 0, 0, 8, 0, 0, -8, 0, 0, 62, 0, 0, 0, 0, 0, -28, 0, 0, 88, 0, 0, 2, 0, 0, -4, 0, 0, -24, 0, 0, -48, 0, 0, -12, 0, 0, 92, 0, 0, 56, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, -12, 0, 0, -52, 0, 0, 60, 0, 0, 50, 0, 0, -20, 0, 0, -78, 0, 0, 28, 0, 0, 12, 0, 0, 52, 0, 0, 56, 0, 0, -20, 0, 0, 96, 0, 0, -24, 0, 0, 102, 0, 0, 16, 0, 0, -40, 0, 0, -8, 0, 0, 0, 0, 0, 32, 0, 0, 34, 0, 0, -56, 0, 0, 12, 0, 0, 80, 0, 0, 12, 0, 0, -16, 0, 0, 32, 0, 0, -44, 0, 0, 72, 0, 0, -4, 0, 0, 76, 0, 0, -44, 0, 0, -14, 0, 0, -108, 0, 0, 52, 0, 0, 12, 0, 0, -8, 0, 0, -72, 0, 0, 24, 0, 0, 44, 0, 0, -36, 0, 0, -24, 0, 0, 2, 0, 0, -28, 0, 0, -36, 0, 0, -48, 0, 0, -46, 0, 0, 12, 0, 0, 94, 0, 0, 0, 0, 0, 40, 0, 0, 92, 0, 0, -44, 0, 0, -72, 0, 0, 56, 0, 0, -28, 0, 0, -60, 0, 0, -28, 0, 0, -32, 0, 0, 4, 0, 0, 12, 0, 0, 84, 0, 0, 48, 0, 0, -80, 0, 0, 32, 0, 0, -28, 0, 0, -24, 0, 0, 52, 0, 0, -72, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, 0, 24, 0, 0, -148, 0, 0, -18, 0, 0, 48, 0, 0, -8, 0, 0, -8, 0, 0, 8, 0, 0, -48, 0, 0, 84, 0, 0, -80, 0, 0, -4, 0, 0, 32, 0, 0, -66, 0, 0, -24, 0, 0, -128, 0, 0, -84, 0, 0, -48, 0, 0, -44, 0, 0, 38, 0, 0, -44, 0, 0, -44, 0, 0, -68, 0, 0, 24, 0, 0, 44, 0, 0, -84, 0, 0, 40, 0, 0, -14, 0, 0, 16, 0, 0, 36, 0, 0, -64, 0, 0, 10, 0, 0, -116, 0, 0, 24, 0, 0, -40, 0, 0, 8, 0, 0, 76, 0, 0, -16, 0, 0, 0, 0, 0, 52, 0, 0, -168, 0, 0, 6, 0, 0, 24, 0, 0, -48, 0, 0, 36, 0, 0, 10, 0, 0, 68, 0, 0, 56, 0, 0, 4, 0, 0, 0, 0, 0, -20, 0, 0, -132, 0, 0, 236, 0, 0, 104, 0, 0, -88, 0, 0, 0, 0, 0, 16, 0, 0, -120, 0, 0, -64, 0, 0, 96, 0, 0, 0, 0, 0, -22, 0, 0, -176, 0, 0, 60, 0, 0, -32, 0, 0, -12, 0, 0, 48, 0, 0, 32, 0, 0, 4, 0, 0, 6, 0, 0, -12, 0, 0, -84, 0, 0, -180, 0, 0, -50, 0, 0, 80, 0, 0, 130, 0, 0, 24, 0, 0, 74, 0, 0, 12, 0, 0, 8, 0, 0, 60, 0, 0, 24, 0, 0, 112, 0, 0, 82, 0, 0, 4, 0, 0, -76, 0, 0, 20, 0, 0, 48, 0, 0, -12, 0, 0, 84, 0, 0, -96, 0, 0, 30, 0, 0, 132, 0, 0, 84, 0, 0, -56, 0, 0, -160, 0, 0, -64, 0, 0, 72, 0, 0, -24, 0, 0, 72, 0, 0, -52, 0, 0, 28, 0, 0, 336, 0, 0, 168, 0, 0, -84, 0, 0, 2, 0, 0, 124, 0, 0, -32, 0, 0, 112, 0, 0, 120, 0, 0, -72, 0, 0, -90, 0, 0, -24, 0, 0, 24, 0, 0, -64, 0, 0, 42, 0, 0, 68, 0, 0, 64, 0, 0, 48, 0, 0, -12, 0, 0, 32, 0, 0, -128, 0, 0, -8, 0, 0, -144, 0, 0, 44, 0, 0, -130, 0, 0, 16, 0, 0, -108, 0, 0, -4, 0, 0, 96, 0, 0, 32, 0, 0, 12, 0, 0, 128, 0, 0, 84, 0, 0, 64, 0, 0, -96, 0, 0, 52, 0, 0, 56, 0, 0, 104, 0, 0, 60, 0, 0, 48, 0, 0, 44, 0, 0, 8, 0, 0, -186, 0, 0, -120, 0, 0, 60, 0, 0, 56, 0, 0, -32, 0, 0, -84, 0, 0, -212, 0, 0, -64, 0, 0, -116, 0, 0, 60, 0, 0, 112, 0, 0, 4, 0, 0, 48, 0, 0, 24, 0, 0, -24, 0, 0, -24, 0, 0, -14, 0, 0, 96, 0, 0, -24, 0, 0, 52, 0, 0, 100, 0, 0, 212, 0, 0, 88, 0, 0, 16, 0, 0, 24, 0, 0, 12, 0, 0, -28, 0, 0, -56, 0, 0, 124, 0, 0, -20, 0, 0, 176, 0, 0, -88, 0, 0, 30, 0, 0, 64, 0, 0, -168], '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], [0, 0, 0, 1], [0, 0, 0, 0], [0, 0, -1, 0], [0, -2, 0, 0], [0, 0, 0, 0], [-1, 0, 0, 0], [0, 1, 0, 1], [0, 0, 0, 0], [2, 0, 0, 0], [0, -1, 0, 1], [0, 0, 0, 0], [4, 0, 0, 0], [0, 0, 0, -1], [0, 0, 0, 0], [1, 0, 1, 0], [0, 2, 0, 2], [0, 0, 0, 0], [0, 0, -2, 0], [0, 4, 0, 2], [0, 0, 0, 0], [3, 0, -1, 0], [0, -2, 0, -2], [0, 0, 0, 0], [7, 0, 4, 0], [0, 0, 0, 4], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, -4], [0, 0, 0, 0], [2, 0, 4, 0], [0, -3, 0, -4], [0, 0, 0, 0], [2, 0, -2, 0], [0, 2, 0, 0], [0, 0, 0, 0], [3, 0, 0, 0], [0, 2, 0, 6], [0, 0, 0, 0], [-4, 0, -2, 0], [0, 2, 0, 0], [0, 0, 0, 0], [-5, 0, -2, 0], [0, 3, 0, 4], [0, 0, 0, 0], [-2, 0, 2, 0], [0, 0, 0, -6], [0, 0, 0, 0], [1, 0, 0, 0], [0, -4, 0, -5], [0, 0, 0, 0], [0, 0, -4, 0], [0, -5, 0, -5], [0, 0, 0, 0], [8, 0, 2, 0], [0, -1, 0, -1], [0, 0, 0, 0], [-8, 0, 4, 0], [0, 2, 0, 2], [0, 0, 0, 0], [6, 0, -2, 0], [0, -4, 0, -10], [0, 0, 0, 0], [-7, 0, 2, 0], [0, -8, 0, 0], [0, 0, 0, 0], [3, 0, -2, 0], [0, -2, 0, 4], [0, 0, 0, 0], [-2, 0, 0, 0], [0, 5, 0, -1], [0, 0, 0, 0], [4, 0, -4, 0], [0, 0, 0, 3], [0, 0, 0, 0], [10, 0, -2, 0], [0, 1, 0, -1], [0, 0, 0, 0], [-5, 0, -2, 0], [0, -6, 0, -2], [0, 0, 0, 0], [-2, 0, 0, 0], [0, 2, 0, -4], [0, 0, 0, 0], [-8, 0, -4, 0], [0, 2, 0, 1], [0, 0, 0, 0], [-1, 0, -2, 0], [0, 4, 0, 0], [0, 0, 0, 0], [-4, 0, 0, 0], [0, 2, 0, -4], [0, 0, 0, 0], [-12, 0, 6, 0], [0, 8, 0, 4], [0, 0, 0, 0], [4, 0, 2, 0], [0, 0, 0, 1], [0, 0, 0, 0], [-20, 0, -3, 0]], 'ap': [[0, 0, 0, 1], [0, 0, 0, 0], [0, -2, 0, 0], [-1, 0, 0, 0], [0, -1, 0, 1], [4, 0, 0, 0], [0, 2, 0, 2], [0, 0, -2, 0], [0, -2, 0, -2], [0, 0, 0, -4], [2, 0, 4, 0], [3, 0, 0, 0], [0, 2, 0, 0], [-5, 0, -2, 0], [0, 0, 0, -6], [0, -5, 0, -5], [0, 2, 0, 2], [6, 0, -2, 0], [3, 0, -2, 0], [0, 5, 0, -1], [4, 0, -4, 0], [-5, 0, -2, 0], [0, 2, 0, -4], [0, 4, 0, 0], [4, 0, 2, 0], [0, 0, 0, 4], [0, 0, 2, 0], [0, 7, 0, 9], [6, 0, 0, 0], [0, 7, 0, 3], [-11, 0, 2, 0], [0, 8, 0, -2], [0, 7, 0, -5], [-4, 0, -2, 0], [0, -3, 0, 9], [-17, 0, -2, 0], [8, 0, -4, 0], [11, 0, 2, 0], [0, 2, 0, 4], [0, -4, 0, 6], [0, 2, 0, 6], [6, 0, 4, 0], [0, -3, 0, -1], [14, 0, 0, 0], [0, -1, 0, -5], [-6, 0, -6, 0], [1, 0, 6, 0], [22, 0, 0, 0], [0, 6, 0, 0], [4, 0, 10, 0], [0, 0, 0, 0], [0, -13, 0, -7], [22, 0, -2, 0], [0, -4, 0, -2], [0, -8, 0, -16], [0, 3, 0, 5], [0, 4, 0, 4], [-2, 0, 6, 0], [7, 0, 0, 0], [0, 15, 0, 7], [14, 0, 2, 0], [0, 12, 0, 10], [2, 0, 8, 0], [0, -12, 0, -18], [6, 0, -4, 0], [0, 0, 0, 0], [0, 0, 8, 0], [-13, 0, -4, 0], [0, -15, 0, 7], [-14, 0, -6, 0], [0, 18, 0, 8], [0, 17, 0, 15], [-16, 0, 4, 0], [7, 0, -8, 0], [-11, 0, -10, 0], [0, -8, 0, 4], [0, -12, 0, 12], [2, 0, -2, 0], [0, 5, 0, -7], [20, 0, -6, 0], [0, 6, 0, -12], [-9, 0, -4, 0], [0, -18, 0, -6], [-4, 0, -10, 0], [22, 0, 2, 0], [0, 10, 0, 10], [0, 9, 0, -15], [17, 0, 8, 0], [0, 4, 0, -10], [3, 0, 10, 0], [0, -2, 0, 4], [0, -10, 0, 6], [-3, 0, -2, 0], [0, 14, 0, 18], [-20, 0, 0, 0], [0, 0, 0, 12], [0, -10, 0, -6], [0, 2, 0, 2], [-10, 0, 2, 0], [11, 0, 0, 0], [5, 0, -10, 0], [0, 3, 0, -13], [0, -22, 0, -14], [0, 9, 0, 17], [-8, 0, 4, 0], [22, 0, 6, 0], [0, -6, 0, -10], [0, -22, 0, -10], [0, 1, 0, -5], [8, 0, -2, 0], [18, 0, 2, 0], [1, 0, 0, 0], [0, 8, 0, -16], [-10, 0, -10, 0], [-24, 0, -4, 0], [0, 7, 0, 7], [-20, 0, -8, 0], [0, 6, 0, 4], [0, 7, 0, 7], [0, -1, 0, -19], [-8, 0, 0, 0], [7, 0, 12, 0], [0, 10, 0, 22], [0, 1, 0, -5], [18, 0, -4, 0], [0, -17, 0, -17], [15, 0, 0, 0], [0, 22, 0, -2], [14, 0, 18, 0], [0, 0, 6, 0], [-23, 0, 2, 0], [0, -3, 0, 15], [-13, 0, 2, 0], [-14, 0, 4, 0], [0, -16, 0, -10], [-20, 0, -14, 0], [0, -14, 0, 2], [36, 0, 10, 0], [0, -24, 0, -4], [0, 9, 0, 21], [-16, 0, 0, 0], [0, 11, 0, -21], [12, 0, 0, 0], [0, -13, 0, -7], [4, 0, -8, 0], [0, -22, 0, -20], [2, 0, 6, 0], [0, -18, 0, 2], [12, 0, 8, 0], [0, 3, 0, 9], [13, 0, 0, 0], [0, 14, 0, 20], [31, 0, 10, 0], [0, 8, 0, -12], [15, 0, 2, 0], [0, 2, 0, -10], [-9, 0, 14, 0], [0, 4, 0, 14], [12, 0, 12, 0], [0, 20, 0, 24], [0, 22, 0, 14], [0, 0, 0, -8], [4, 0, 0, 0], [0, -14, 0, 10], [0, -8, 0, 16], [0, 24, 0, 18], [-25, 0, -6, 0], [14, 0, -4, 0]], 'char_orbit_index': 1, 'field_poly': [1, 0, -5, 0, 1], 'hecke_orbit_code': 36028797052518967, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [3, 0, 1, 0], [0, 5, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-3, 0, 1, 0], [0, -5, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '567.2.a.i', 'level': 567, 'maxp': 997, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': [5, 9, 7, 3], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6], 'ALdims_old': [8, 9, 11, 9], 'Nk2': 2268, 'analytic_conductor': 4.527517794606598, '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': [567, 1, [407, 325], [1, 1]], 'conrey_index': 1, 'cusp_dim': 61, 'dim': 24, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 33554999, 'hecke_orbit_dims': [1, 1, 3, 3, 3, 3, 3, 3, 4], 'label': '567.2.a', 'level': 567, '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': [3, 7], 'level_radical': 21, 'mf_dim': 84, 'mf_new_dim': 24, 'num_forms': 9, 'plus_dim': 8, 'prim_orbit_index': 1, 'relative_dim': 24, 'sturm_bound': 144, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [24, 0, 0, 24, 0, 0, 0, 0, 0, 12, 0, 0, 12, 0, 0, 36, 0, 0, -12, 0, 0, 0, 0, 0, 24, 0, 0, 12, 0, 0, -12, 0, 0, -24, 0, 0, 24, 0, 0, 12, 0, 0, -12, 0, 0, -12, 0, 0, 24, 0, 0, 0, 0, 0, -12, 0, 0, -12, 0, 0, 36, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, -60, 0, 0, 12, 0, 0, -24, 0, 0, 48, 0, 0, -48, 0, 0, -12, 0, 0, -84, 0, 0, 0, 0, 0, -36, 0, 0, -24, 0, 0, 12, 0, 0, 24, 0, 0, 24, 0, 0, -84, 0, 0, -60, 0, 0, -48, 0, 0, -108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -48, 0, 0, -36, 0, 0, -36, 0, 0, 84, 0, 0, 72, 0, 0, -60, 0, 0, 24, 0, 0, 24, 0, 0, -96, 0, 0, 72, 0, 0, -36, 0, 0, 120, 0, 0, -84, 0, 0, -24, 0, 0, 156, 0, 0, 36, 0, 0, 84, 0, 0, 60, 0, 0, -36, 0, 0, 48, 0, 0, 24, 0, 0, -48, 0, 0, -12, 0, 0, 24, 0, 0, 96, 0, 0, 12, 0, 0, -60, 0, 0, 24, 0, 0, -72, 0, 0, 72, 0, 0, 24, 0, 0, 156, 0, 0, -72, 0, 0, 24, 0, 0, -24, 0, 0, 12, 0, 0, -84, 0, 0, -12, 0, 0, 120, 0, 0, 84, 0, 0, -132, 0, 0, 24, 0, 0, 12, 0, 0, 84, 0, 0, 24, 0, 0, -180, 0, 0, -60, 0, 0, 0, 0, 0, -60, 0, 0, 36, 0, 0, -96, 0, 0, -60, 0, 0, -48, 0, 0, -24, 0, 0, 96, 0, 0, 48, 0, 0, -108, 0, 0, -60, 0, 0, 84, 0, 0, 36, 0, 0, 156, 0, 0, -60, 0, 0, -12, 0, 0, 72, 0, 0, 36, 0, 0, -72, 0, 0, 240, 0, 0, 36, 0, 0, 192, 0, 0, 0, 0, 0, 252, 0, 0, 48, 0, 0, 84, 0, 0, -144, 0, 0, 132, 0, 0, -84, 0, 0, -48, 0, 0, -60, 0, 0, -24, 0, 0, 108, 0, 0, 48, 0, 0, -36, 0, 0, 120, 0, 0, -36, 0, 0, 156, 0, 0, -24, 0, 0, 204, 0, 0, -48, 0, 0, -168, 0, 0, -36, 0, 0, 84, 0, 0, -132, 0, 0, 48, 0, 0, -108, 0, 0, 300, 0, 0, -96, 0, 0, -120, 0, 0, -24, 0, 0, -12, 0, 0, 84, 0, 0, 144, 0, 0, 48, 0, 0, -120, 0, 0, -108, 0, 0, 72, 0, 0, -48, 0, 0, -204, 0, 0, -144, 0, 0, -300, 0, 0, 0, 0, 0, 96, 0, 0, -24, 0, 0, 60, 0, 0, -168, 0, 0, 144, 0, 0, 0, 0, 0, -72, 0, 0, 132, 0, 0, 12, 0, 0, -72, 0, 0, 240, 0, 0, -216, 0, 0, -372, 0, 0, 0, 0, 0, 84, 0, 0, -24, 0, 0, 108, 0, 0, -168, 0, 0, -264, 0, 0, 0, 0, 0, 36, 0, 0, 48, 0, 0, -72, 0, 0, -36, 0, 0, 48, 0, 0, -72, 0, 0, -252, 0, 0, -24, 0, 0, -228, 0, 0, -72, 0, 0, 228, 0, 0, -132, 0, 0, -24, 0, 0, -60, 0, 0, -216, 0, 0, 36, 0, 0, -84, 0, 0, -36, 0, 0, 60, 0, 0, 132, 0, 0, -24, 0, 0, -192, 0, 0, 24, 0, 0, 48, 0, 0, 300, 0, 0, 72, 0, 0, -204, 0, 0, 0, 0, 0, -180, 0, 0, 36, 0, 0, 60, 0, 0, -72, 0, 0, -96, 0, 0, 144, 0, 0, 120, 0, 0, 24, 0, 0, -300, 0, 0, 12, 0, 0, -264, 0, 0, -48, 0, 0, 312, 0, 0, -48, 0, 0, -48, 0, 0, -288, 0, 0, -84, 0, 0, -228, 0, 0, 36, 0, 0, -72, 0, 0, -216, 0, 0, 180, 0, 0, 408, 0, 0, 36, 0, 0, -228, 0, 0, 12, 0, 0, -348, 0, 0, -204, 0, 0, -48, 0, 0, 252, 0, 0, 12, 0, 0, -84, 0, 0, 324, 0, 0, -156, 0, 0, 336, 0, 0, 144, 0, 0, 0, 0, 0, 72, 0, 0, 204, 0, 0, 132, 0, 0, 336, 0, 0, 24, 0, 0, 180, 0, 0, -156, 0, 0, -24, 0, 0, 240, 0, 0, 204, 0, 0, -12, 0, 0, 24, 0, 0, -192, 0, 0, 132, 0, 0, 24, 0, 0, 24, 0, 0, 300, 0, 0, 84, 0, 0, 252, 0, 0, -60, 0, 0, 36, 0, 0, 36, 0, 0, 36, 0, 0, 312, 0, 0, 156, 0, 0, 504, 0, 0, -96, 0, 0, 60, 0, 0, -48, 0, 0, 240, 0, 0, -24, 0, 0, -228, 0, 0, 396, 0, 0, 192, 0, 0, 24, 0, 0, -24, 0, 0, -36, 0, 0, 192, 0, 0, -276, 0, 0, -396, 0, 0, 0, 0, 0, -216, 0, 0, -24, 0, 0, -132, 0, 0, -60, 0, 0, -132, 0, 0, -240, 0, 0, 48, 0, 0, 192, 0, 0, 36, 0, 0, -132, 0, 0, -24, 0, 0, -180, 0, 0, -216, 0, 0, 84, 0, 0, 132, 0, 0, 0, 0, 0, 276, 0, 0, 36, 0, 0, -108, 0, 0, 168, 0, 0, 360, 0, 0, 516, 0, 0, -120, 0, 0, -36, 0, 0, 48, 0, 0, -24, 0, 0, -204, 0, 0, 252, 0, 0, 48, 0, 0, -12, 0, 0, 24, 0, 0, 288, 0, 0, 204, 0, 0, -108, 0, 0, 252, 0, 0, 120, 0, 0, -156, 0, 0, 72, 0, 0, -84, 0, 0, 132, 0, 0, -60, 0, 0, 48, 0, 0, -312, 0, 0, 0, 0, 0, -168, 0, 0, -48, 0, 0, -420, 0, 0, 372, 0, 0, -444, 0, 0, 84, 0, 0, 36, 0, 0, -108, 0, 0, -12], '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: 386878
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '567.2.a.i', 'source_level': 567, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '567.2.a.i', 'target_level': 567, 'twist_class_label': '567.2.a.i', 'twist_class_level': 567, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 386879
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '567.2.a.i', 'source_level': 567, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '567.2.a.i', 'target_level': 567, 'twist_class_label': '567.2.a.i', 'twist_class_level': 567, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 386880
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '567.2.a.i', 'source_level': 567, 'target_char_orbit': 6, 'target_dim': 8, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '567.2.f.n', 'target_level': 567, 'twist_class_label': '567.2.a.i', 'twist_class_level': 567, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 386881
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '567.2.a.i', 'source_level': 567, 'target_char_orbit': 6, 'target_dim': 8, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '567.2.f.n', 'target_level': 567, 'twist_class_label': '567.2.a.i', 'twist_class_level': 567, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 386882
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '567.2.a.i', 'source_level': 567, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 21, 'target_is_minimal': False, 'target_label': '3969.2.a.u', 'target_level': 3969, 'twist_class_label': '567.2.a.i', 'twist_class_level': 567, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 386883
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '567.2.a.i', 'source_level': 567, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 21, 'target_is_minimal': False, 'target_label': '3969.2.a.u', 'target_level': 3969, 'twist_class_label': '567.2.a.i', 'twist_class_level': 567, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 386884
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '567.2.a.i', 'source_level': 567, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 61, 'target_is_minimal': False, 'target_label': '9072.2.a.ci', 'target_level': 9072, 'twist_class_label': '567.2.a.i', 'twist_class_level': 567, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 386885
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': True, 'source_label': '567.2.a.i', 'source_level': 567, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 61, 'target_is_minimal': False, 'target_label': '9072.2.a.ci', 'target_level': 9072, 'twist_class_label': '567.2.a.i', 'twist_class_level': 567, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1055525
    {'charpoly_factorization': [[[1, 0, -5, 0, 1], 1]], 'hecke_orbit_code': 36028797052518967, 'p': 2}
  • id: 1055526
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028797052518967, 'p': 3}
  • id: 1055527
    {'charpoly_factorization': [[[16, 0, -20, 0, 1], 1]], 'hecke_orbit_code': 36028797052518967, 'p': 5}
  • id: 1055528
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 36028797052518967, 'p': 7}
  • id: 1055529
    {'charpoly_factorization': [[[-7, 0, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 11}
  • id: 1055530
    {'charpoly_factorization': [[[-4, 1], 4]], 'hecke_orbit_code': 36028797052518967, 'p': 13}
  • id: 1055531
    {'charpoly_factorization': [[[-12, 0, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 17}
  • id: 1055532
    {'charpoly_factorization': [[[-20, -2, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 19}
  • id: 1055533
    {'charpoly_factorization': [[[-12, 0, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 23}
  • id: 1055534
    {'charpoly_factorization': [[[256, 0, -80, 0, 1], 1]], 'hecke_orbit_code': 36028797052518967, 'p': 29}
  • id: 1055535
    {'charpoly_factorization': [[[-84, 0, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 31}
  • id: 1055536
    {'charpoly_factorization': [[[-3, 1], 4]], 'hecke_orbit_code': 36028797052518967, 'p': 37}
  • id: 1055537
    {'charpoly_factorization': [[[16, 0, -20, 0, 1], 1]], 'hecke_orbit_code': 36028797052518967, 'p': 41}
  • id: 1055538
    {'charpoly_factorization': [[[-5, 8, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 43}
  • id: 1055539
    {'charpoly_factorization': [[[1296, 0, -180, 0, 1], 1]], 'hecke_orbit_code': 36028797052518967, 'p': 47}
  • id: 1055540
    {'charpoly_factorization': [[[-75, 0, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 53}
  • id: 1055541
    {'charpoly_factorization': [[[-12, 0, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 59}
  • id: 1055542
    {'charpoly_factorization': [[[28, -14, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 61}
  • id: 1055543
    {'charpoly_factorization': [[[-5, -8, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 67}
  • id: 1055544
    {'charpoly_factorization': [[[2601, 0, -150, 0, 1], 1]], 'hecke_orbit_code': 36028797052518967, 'p': 71}
  • id: 1055545
    {'charpoly_factorization': [[[-48, -12, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 73}
  • id: 1055546
    {'charpoly_factorization': [[[-5, 8, 1], 2]], 'hecke_orbit_code': 36028797052518967, 'p': 79}
  • id: 1055547
    {'charpoly_factorization': [[[3600, 0, -132, 0, 1], 1]], 'hecke_orbit_code': 36028797052518967, 'p': 83}
  • id: 1055548
    {'charpoly_factorization': [[[256, 0, -80, 0, 1], 1]], 'hecke_orbit_code': 36028797052518967, 'p': 89}
  • id: 1055549
    {'charpoly_factorization': [[[-12, -6, 1], 2]], 'hecke_orbit_code': 36028797052518967, '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': '567.2.a.i', 'level': 567, '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: 50298367
    {'hecke_orbit_code': 36028797052518967, 'n': 1, 'trace_an': 4}
  • id: 50298368
    {'hecke_orbit_code': 36028797052518967, 'n': 2, 'trace_an': 0}
  • id: 50298369
    {'hecke_orbit_code': 36028797052518967, 'n': 3, 'trace_an': 0}
  • id: 50298370
    {'hecke_orbit_code': 36028797052518967, 'n': 4, 'trace_an': 2}
  • id: 50298371
    {'hecke_orbit_code': 36028797052518967, 'n': 5, 'trace_an': 0}
  • id: 50298372
    {'hecke_orbit_code': 36028797052518967, 'n': 6, 'trace_an': 0}
  • id: 50298373
    {'hecke_orbit_code': 36028797052518967, 'n': 7, 'trace_an': -4}
  • id: 50298374
    {'hecke_orbit_code': 36028797052518967, 'n': 8, 'trace_an': 0}
  • id: 50298375
    {'hecke_orbit_code': 36028797052518967, 'n': 9, 'trace_an': 0}
  • id: 50298376
    {'hecke_orbit_code': 36028797052518967, 'n': 10, 'trace_an': 8}
  • id: 50298377
    {'hecke_orbit_code': 36028797052518967, 'n': 11, 'trace_an': 0}
  • id: 50298378
    {'hecke_orbit_code': 36028797052518967, 'n': 12, 'trace_an': 0}
  • id: 50298379
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  • id: 50298380
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  • id: 50298381
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  • id: 50298382
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  • id: 50298383
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  • id: 50298384
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  • id: 50298385
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  • id: 50298386
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  • id: 50298387
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  • id: 50298388
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  • id: 50298389
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  • id: 50298390
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  • id: 50298391
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  • id: 50298392
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  • id: 50298393
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  • id: 50298394
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  • id: 50298395
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  • id: 50298396
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  • id: 50298397
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  • id: 50298398
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  • id: 50298399
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  • id: 50298400
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  • id: 50298401
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  • id: 50298402
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  • id: 50298403
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  • id: 50298404
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  • id: 50298405
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  • id: 50298406
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  • id: 50298407
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  • id: 50298408
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  • id: 50298409
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  • id: 50298410
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  • id: 50298411
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  • id: 50298412
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  • id: 50298413
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  • id: 50298414
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  • id: 50298415
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  • id: 50298416
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  • id: 50298417
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  • id: 50298418
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  • id: 50298419
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  • id: 50298420
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  • id: 50298421
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  • id: 50298422
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  • id: 50298423
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  • id: 50298424
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  • id: 50298425
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  • id: 50298426
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  • id: 50298427
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  • id: 50298428
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  • id: 50298429
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  • id: 50298430
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  • id: 50298431
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  • id: 50298432
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  • id: 50298433
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  • id: 50298434
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  • id: 50298435
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  • id: 50298436
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  • id: 50298437
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  • id: 50298438
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  • id: 50298439
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  • id: 50298440
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  • id: 50298441
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  • id: 50298442
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  • id: 50298443
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  • id: 50298444
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  • id: 50298445
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  • id: 50298446
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  • id: 50298447
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  • id: 50298448
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  • id: 50298449
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  • id: 50298450
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  • id: 50298451
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  • id: 50298452
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  • id: 50298453
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  • id: 50298454
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  • id: 50298455
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  • id: 50298456
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  • id: 50298457
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  • id: 50298458
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  • id: 50298459
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  • id: 50298460
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  • id: 50298461
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  • id: 50298462
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  • id: 50298463
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  • id: 50298464
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  • id: 50298465
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  • id: 50298466
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  • id: 50298467
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  • id: 50298468
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  • id: 50298469
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  • id: 50298470
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  • id: 50298471
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  • id: 50298472
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  • id: 50298473
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  • id: 50298474
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  • id: 50298475
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  • id: 50298476
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  • id: 50298477
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  • id: 50298478
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  • id: 50298479
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  • id: 50298480
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  • id: 50298481
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  • id: 50298482
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  • id: 50298483
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  • id: 50298484
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  • id: 50298485
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  • id: 50298486
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  • id: 50298487
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  • id: 50298488
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  • id: 50298489
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  • id: 50298490
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  • id: 50298491
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  • id: 50298492
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  • id: 50298493
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  • id: 50298494
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  • id: 50298495
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  • id: 50298496
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  • id: 50298497
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  • id: 50298498
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  • id: 50298499
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  • id: 50298500
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  • id: 50298501
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  • id: 50298502
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  • id: 50298503
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  • id: 50298504
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  • id: 50298505
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  • id: 50298506
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  • id: 50298507
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  • id: 50298508
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  • id: 50298509
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  • id: 50298510
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  • id: 50298511
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  • id: 50298512
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  • id: 50298513
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  • id: 50298514
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  • id: 50298515
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  • id: 50298516
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  • id: 50298517
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  • id: 50298518
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  • id: 50298519
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  • id: 50298520
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  • id: 50298521
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  • id: 50298522
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  • id: 50298523
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  • id: 50298524
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  • id: 50298525
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  • id: 50298526
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  • id: 50298527
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  • id: 50298528
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  • id: 50298529
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  • id: 50298530
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  • id: 50298531
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  • id: 50298532
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  • id: 50298533
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  • id: 50298534
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  • id: 50298535
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  • id: 50298536
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  • id: 50298537
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  • id: 50298538
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  • id: 50298539
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  • id: 50298540
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  • id: 50298541
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  • id: 50298542
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  • id: 50298543
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  • id: 50298544
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  • id: 50298545
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  • id: 50298546
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  • id: 50298547
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  • id: 50298548
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  • id: 50298549
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  • id: 50298550
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  • id: 50298551
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  • id: 50298552
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  • id: 50298553
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  • id: 50298554
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  • id: 50298555
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  • id: 50298556
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  • id: 50298557
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  • id: 50298558
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  • id: 50298559
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  • id: 50298560
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  • id: 50298561
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  • id: 50298562
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  • id: 50298563
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  • id: 50298564
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  • id: 50298565
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  • id: 50298566
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  • id: 50298567
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  • id: 50298568
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  • id: 50298569
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  • id: 50298570
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  • id: 50298571
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  • id: 50298572
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  • id: 50298573
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  • id: 50298574
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  • id: 50298575
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  • id: 50298576
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  • id: 50298577
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  • id: 50298578
    {'hecke_orbit_code': 36028797052518967, 'n': 691, 'trace_an': 80}
  • id: 50298579
    {'hecke_orbit_code': 36028797052518967, 'n': 701, 'trace_an': 0}
  • id: 50298580
    {'hecke_orbit_code': 36028797052518967, 'n': 709, 'trace_an': 60}
  • id: 50298581
    {'hecke_orbit_code': 36028797052518967, 'n': 719, 'trace_an': 0}
  • id: 50298582
    {'hecke_orbit_code': 36028797052518967, 'n': 727, 'trace_an': 20}
  • id: 50298583
    {'hecke_orbit_code': 36028797052518967, 'n': 729, 'trace_an': 0}
  • id: 50298584
    {'hecke_orbit_code': 36028797052518967, 'n': 733, 'trace_an': -12}
  • id: 50298585
    {'hecke_orbit_code': 36028797052518967, 'n': 739, 'trace_an': -96}
  • id: 50298586
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  • id: 50298587
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  • id: 50298588
    {'hecke_orbit_code': 36028797052518967, 'n': 757, 'trace_an': -64}
  • id: 50298589
    {'hecke_orbit_code': 36028797052518967, 'n': 761, 'trace_an': 0}
  • id: 50298590
    {'hecke_orbit_code': 36028797052518967, 'n': 769, 'trace_an': -52}
  • id: 50298591
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  • id: 50298592
    {'hecke_orbit_code': 36028797052518967, 'n': 787, 'trace_an': 124}
  • id: 50298593
    {'hecke_orbit_code': 36028797052518967, 'n': 797, 'trace_an': 0}
  • id: 50298594
    {'hecke_orbit_code': 36028797052518967, 'n': 809, 'trace_an': 0}
  • id: 50298595
    {'hecke_orbit_code': 36028797052518967, 'n': 811, 'trace_an': -64}
  • id: 50298596
    {'hecke_orbit_code': 36028797052518967, 'n': 821, 'trace_an': 0}
  • id: 50298597
    {'hecke_orbit_code': 36028797052518967, 'n': 823, 'trace_an': 48}
  • id: 50298598
    {'hecke_orbit_code': 36028797052518967, 'n': 827, 'trace_an': 0}
  • id: 50298599
    {'hecke_orbit_code': 36028797052518967, 'n': 829, 'trace_an': 32}
  • id: 50298600
    {'hecke_orbit_code': 36028797052518967, 'n': 839, 'trace_an': 0}
  • id: 50298601
    {'hecke_orbit_code': 36028797052518967, 'n': 841, 'trace_an': 44}
  • id: 50298602
    {'hecke_orbit_code': 36028797052518967, 'n': 853, 'trace_an': -4}
  • id: 50298603
    {'hecke_orbit_code': 36028797052518967, 'n': 857, 'trace_an': 0}
  • id: 50298604
    {'hecke_orbit_code': 36028797052518967, 'n': 859, 'trace_an': 32}
  • id: 50298605
    {'hecke_orbit_code': 36028797052518967, 'n': 863, 'trace_an': 0}
  • id: 50298606
    {'hecke_orbit_code': 36028797052518967, 'n': 877, 'trace_an': 52}
  • id: 50298607
    {'hecke_orbit_code': 36028797052518967, 'n': 881, 'trace_an': 0}
  • id: 50298608
    {'hecke_orbit_code': 36028797052518967, 'n': 883, 'trace_an': 104}
  • id: 50298609
    {'hecke_orbit_code': 36028797052518967, 'n': 887, 'trace_an': 0}
  • id: 50298610
    {'hecke_orbit_code': 36028797052518967, 'n': 907, 'trace_an': 56}
  • id: 50298611
    {'hecke_orbit_code': 36028797052518967, 'n': 911, 'trace_an': 0}
  • id: 50298612
    {'hecke_orbit_code': 36028797052518967, 'n': 919, 'trace_an': -64}
  • id: 50298613
    {'hecke_orbit_code': 36028797052518967, 'n': 929, 'trace_an': 0}
  • id: 50298614
    {'hecke_orbit_code': 36028797052518967, 'n': 937, 'trace_an': 24}
  • id: 50298615
    {'hecke_orbit_code': 36028797052518967, 'n': 941, 'trace_an': 0}
  • id: 50298616
    {'hecke_orbit_code': 36028797052518967, 'n': 947, 'trace_an': 0}
  • id: 50298617
    {'hecke_orbit_code': 36028797052518967, 'n': 953, 'trace_an': 0}
  • id: 50298618
    {'hecke_orbit_code': 36028797052518967, 'n': 961, 'trace_an': 212}
  • id: 50298619
    {'hecke_orbit_code': 36028797052518967, 'n': 967, 'trace_an': 16}
  • id: 50298620
    {'hecke_orbit_code': 36028797052518967, 'n': 971, 'trace_an': 0}
  • id: 50298621
    {'hecke_orbit_code': 36028797052518967, 'n': 977, 'trace_an': 0}
  • id: 50298622
    {'hecke_orbit_code': 36028797052518967, 'n': 983, 'trace_an': 0}
  • id: 50298623
    {'hecke_orbit_code': 36028797052518967, 'n': 991, 'trace_an': -88}
  • id: 50298624
    {'hecke_orbit_code': 36028797052518967, 'n': 997, 'trace_an': 64}