Newform data - 171.2.f.c

Formats: - HTML - YAML - JSON - 2025-12-11T13:11:03.014978

• 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': 684, 'analytic_conductor': 1.3654418745638945, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 19, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 3, 'char_parity': 1, 'char_values': [171, 3, [20, 154], [3, 1]], 'cm_discs': [], 'conrey_index': 64, 'dim': 8, 'field_disc': 764411904, 'field_disc_factorization': [[2, 20], [3, 6]], 'field_poly': [81, 0, -54, 0, 21, 0, -6, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [9, 0, 18, 0, 33, 0, 6, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007542885679275, 'hecke_ring_generator_nbound': 4, 'hecke_ring_index': 9, 'hecke_ring_index_factorization': [[3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 19, 3, 1, 3, 0], [1, 1, 57, 8, -1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '171.2.f.c', 'level': 171, '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, 19], 'level_radical': 57, 'minimal_twist': '171.2.f.c', 'nf_label': '8.0.764411904.5', 'prim_orbit_index': 3, 'qexp_display': 'q-\\beta _{5}q^{2}+(-1-\\beta _{3}+\\beta _{4}-\\beta _{6})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '171.2.f', 'trace_display': [0, 0, 0, -8], 'trace_hash': 1419459932271380782, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.396', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '376.024', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '31186.483', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.509', 'prec': 17}, 'traces': [8, 0, 0, -4, 0, 0, -8, 0, 0, 0, 0, 0, 4, 0, 0, -4, 0, 0, 8, 0, 0, 24, 0, 0, -4, 0, 0, 28, 0, 0, -56, 0, 0, 0, 0, 0, -8, 0, 0, -24, 0, 0, 4, 0, 0, -48, 0, 0, 0, 0, 0, 4, 0, 0, 24, 0, 0, 96, 0, 0, -20, 0, 0, -40, 0, 0, 28, 0, 0, 24, 0, 0, -20, 0, 0, 68, 0, 0, 28, 0, 0, -48, 0, 0, 48, 0, 0, -96, 0, 0, -4, 0, 0, -96, 0, 0, -32, 0, 0, 44, 0, 0, -8, 0, 0, 0, 0, 0, 16, 0, 0, 4, 0, 0, 48, 0, 0, 24, 0, 0, 56, 0, 0, 52, 0, 0, 16, 0, 0, 0, 0, 0, -8, 0, 0, 48, 0, 0, -20, 0, 0, 48, 0, 0, -96, 0, 0, -44, 0, 0, -32, 0, 0, -96, 0, 0, 4, 0, 0, -96, 0, 0, -56, 0, 0, -48, 0, 0, 48, 0, 0, 136, 0, 0, -44, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -48, 0, 0, 72, 0, 0, -20, 0, 0, -48, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 28, 0, 0, 96, 0, 0, 104, 0, 0, -48, 0, 0, 28, 0, 0, -48, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 76, 0, 0, -20, 0, 0, 4, 0, 0, 48, 0, 0, -24, 0, 0, 68, 0, 0, -88, 0, 0, -48, 0, 0, -48, 0, 0, -44, 0, 0, -32, 0, 0, -96, 0, 0, -32, 0, 0, 0, 0, 0, 64, 0, 0, 48, 0, 0, -28, 0, 0, 40, 0, 0, 72, 0, 0, -48, 0, 0, 68, 0, 0, -4, 0, 0, 40, 0, 0, 24, 0, 0, -32, 0, 0, 88, 0, 0, 48, 0, 0, 96, 0, 0, 4, 0, 0, -48, 0, 0, -8, 0, 0, 144, 0, 0, -44, 0, 0, -48, 0, 0, -40, 0, 0, 48, 0, 0, -56, 0, 0, -72, 0, 0, -48, 0, 0, -24, 0, 0, -136, 0, 0, -28, 0, 0, 52, 0, 0, -48, 0, 0, -128, 0, 0, 48, 0, 0, -8, 0, 0, 24, 0, 0, -24, 0, 0, -32, 0, 0, -96, 0, 0, 48, 0, 0, 28, 0, 0, 8, 0, 0, -28, 0, 0, -192, 0, 0, -32, 0, 0, 28, 0, 0, -48, 0, 0, 240, 0, 0, -32, 0, 0, 24, 0, 0, 20, 0, 0, 144, 0, 0, 28, 0, 0, -128, 0, 0, 124, 0, 0, 0, 0, 0, 240, 0, 0, 184, 0, 0, 96, 0, 0, -72, 0, 0, -200, 0, 0, 72, 0, 0, 136, 0, 0, -96, 0, 0, 44, 0, 0, 96, 0, 0, -148, 0, 0, -72, 0, 0, -4, 0, 0, -172, 0, 0, 64, 0, 0, -48, 0, 0, 192, 0, 0, 28, 0, 0, -140, 0, 0, -192, 0, 0, 96, 0, 0, -80, 0, 0, 20, 0, 0, -96, 0, 0, -96, 0, 0, -48, 0, 0, 52, 0, 0, -144, 0, 0, 20, 0, 0, -116, 0, 0, -48, 0, 0, 96, 0, 0, -20, 0, 0, 192, 0, 0, 100, 0, 0, 240, 0, 0, 44, 0, 0, 52, 0, 0, 8, 0, 0, -96, 0, 0, 24, 0, 0, 0, 0, 0, -8, 0, 0, 144, 0, 0, 64, 0, 0, -144, 0, 0, -24, 0, 0, 96, 0, 0, -56, 0, 0, 4, 0, 0, 48, 0, 0, -24, 0, 0, 136, 0, 0, 16, 0, 0, -152, 0, 0, 0, 0, 0, -32, 0, 0, 240, 0, 0, -104, 0, 0, -72, 0, 0, 20, 0, 0, -296, 0, 0, 4, 0, 0, 96, 0, 0, 0, 0, 0, -24, 0, 0, -44, 0, 0, -144, 0, 0, -120, 0, 0, 52, 0, 0, -144, 0, 0, 288, 0, 0, -8, 0, 0, 192, 0, 0, 144, 0, 0, -72, 0, 0, 136, 0, 0, -96, 0, 0, -16, 0, 0, -240, 0, 0, -288, 0, 0, 4, 0, 0, -32, 0, 0, -72, 0, 0, 0, 0, 0, -68, 0, 0, -8, 0, 0, -96, 0, 0, 4, 0, 0, -120, 0, 0, 48, 0, 0, -96, 0, 0, 56, 0, 0, 112, 0, 0, 76, 0, 0, 0, 0, 0, 160, 0, 0, 24, 0, 0, 28, 0, 0, 48, 0, 0, -72, 0, 0, 96, 0, 0, 52, 0, 0, 48, 0, 0, 52, 0, 0, 48, 0, 0, -64, 0, 0, -24, 0, 0, 4, 0, 0, 328, 0, 0, -20, 0, 0, -96, 0, 0, -48, 0, 0, 0, 0, 0, 280, 0, 0, 144, 0, 0, 20, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, -48, 0, 0, -32, 0, 0, 120, 0, 0, -212, 0, 0, -96, 0, 0, 160, 0, 0, -144, 0, 0, -104, 0, 0, -20, 0, 0, 240, 0, 0, -24, 0, 0, -172, 0, 0, -200, 0, 0, -344, 0, 0, -96, 0, 0, 100, 0, 0, -96, 0, 0, 124, 0, 0, -96, 0, 0, -48, 0, 0, -244, 0, 0, -28, 0, 0, -48, 0, 0, -44, 0, 0, 24, 0, 0, -92, 0, 0, 384, 0, 0, 80, 0, 0, 88, 0, 0, 120, 0, 0, 144, 0, 0, 96, 0, 0, 48, 0, 0, 16, 0, 0, -24, 0, 0, -288, 0, 0, 100, 0, 0, 136, 0, 0, -96, 0, 0, 100, 0, 0, -48, 0, 0, 0, 0, 0, 48, 0, 0, -20, 0, 0, 96, 0, 0, -192, 0, 0, 192, 0, 0, -40, 0, 0, 0, 0, 0, 24, 0, 0, 96, 0, 0, 192, 0, 0, 76, 0, 0, 52, 0, 0, -96, 0, 0, -52, 0, 0, 40, 0, 0, 120, 0, 0, 48, 0, 0, 120, 0, 0, 76, 0, 0, 100, 0, 0, -96, 0, 0, 4, 0, 0, -96], '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, 0], [0, 0, 0, 0, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [-1, 0, 0, -1, 1, 0, -1, 0], [0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, 0, 0, -1, 0], [0, 1, 1, 0, 0, 1, 0, -1], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, -1, 0], [0, -1, -1, 0, 0, -2, 0, 2], [0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 1, 0, 0, 0, 0], [0, 1, 0, 0, 0, 3, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0, 0], [0, 2, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, -2, 0, 1, 0], [0, -1, -1, 0, 0, 2, 0, -2], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -6, 3, 0, 0, 0], [0, 0, -1, 0, 0, 0, 0, -2], [0, 0, 0, 0, 0, 0, 0, 0], [-1, 0, 0, -1, -2, 0, 2, 0], [0, 0, 0, 0, 0, -1, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0], [7, 0, 0, 7, -2, 0, 2, 0], [0, 0, 2, 0, 0, 0, 0, 4], [0, 0, 0, 0, 0, 0, 0, 0], [-7, 0, 0, 0, 0, 0, -1, 0], [0, 0, 2, 0, 0, 0, 0, -1], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, -2, 0, 2, 0], [0, -1, 0, 0, 0, 2, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, 0, 0, 2, 0], [0, -1, -2, 0, 0, -3, 0, 4], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 6, 1, 0, 0, 0], [0, 0, 0, 0, 0, -4, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -3, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, -8], [0, 0, 0, 0, 0, 0, 0, 0], [-6, 0, 0, 0, 0, 0, -1, 0], [0, 0, 0, 0, 0, 0, 0, -4], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 2, 0], [0, -2, -2, 0, 0, -3, 0, 3], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, 1, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -6, 0, 0, 0, 0], [0, 0, 0, 0, 0, -5, 0, 5], [0, 0, 0, 0, 0, 0, 0, 0], [12, 0, 0, 0, 0, 0, 2, 0], [0, 3, 0, 0, 0, 2, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [-5, 0, 0, -5, 0, 0, 0, 0], [0, 1, 0, 0, 0, 9, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [-5, 0, 0, 0, 0, 0, -3, 0], [0, -1, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [7, 0, 0, 7, 3, 0, -3, 0], [0, 2, 2, 0, 0, -4, 0, 4], [0, 0, 0, 0, 0, 0, 0, 0], [6, 0, 0, 6, -1, 0, 1, 0], [0, -2, 0, 0, 0, 4, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 5, 0, 0, 0, 0], [0, -2, 0, 0, 0, -3, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [5, 0, 0, -7, 2, 0, 0, 0], [0, 1, 1, 0, 0, 8, 0, -8], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -7, -3, 0, 0, 0], [0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [-12, 0, 0, -12, 4, 0, -4, 0], [0, 2, 2, 0, 0, 4, 0, -4], [0, 0, 0, 0, 0, 0, 0, 0], [12, 0, 0, 12, 4, 0, -4, 0], [0, 0, -3, 0, 0, 0, 0, 5], [0, 0, 0, 0, 0, 0, 0, 0], [-12, 0, 0, 0, 0, 0, -3, 0], [0, 0, -5, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [-1, 0, 0, -1, 1, 0, -1, 0], [0, 3, 0, 0, 0, 4, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [-12, 0, 0, 0, 0, 0, -4, 0], [0, 1, 4, 0, 0, -2, 0, 4], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 8, 2, 0, 0, 0], [0, -2, 0, 0, 0, -4, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -11, 1, 0, 0, 0]], 'ap': [[0, 0, 0, 0, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, 0, 0, -1, 0], [0, -1, -1, 0, 0, -2, 0, 2], [1, 0, 0, 1, 0, 0, 0, 0], [0, 2, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, -2, 0, 1, 0], [0, 0, -1, 0, 0, 0, 0, -2], [0, 0, 2, 0, 0, 0, 0, 4], [-7, 0, 0, 0, 0, 0, -1, 0], [-1, 0, 0, 0, 0, 0, 2, 0], [0, 0, 0, 0, 0, -4, 0, 0], [0, 0, 0, -1, -3, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -4], [0, 0, 1, 0, 0, 0, 0, 0], [0, 3, 0, 0, 0, 2, 0, 0], [-5, 0, 0, -5, 0, 0, 0, 0], [7, 0, 0, 7, 3, 0, -3, 0], [0, -2, 0, 0, 0, 4, 0, 0], [0, 0, 0, 5, 0, 0, 0, 0], [0, 0, 0, -7, -3, 0, 0, 0], [0, 2, 2, 0, 0, 4, 0, -4], [0, 0, -5, 0, 0, 0, 0, 0], [0, 0, 0, 8, 2, 0, 0, 0], [0, 0, -2, 0, 0, 0, 0, 0], [-1, 0, 0, 0, 0, 0, -1, 0], [0, 2, 2, 0, 0, -8, 0, 8], [0, 0, 0, -4, 2, 0, 0, 0], [0, -1, -1, 0, 0, 4, 0, -4], [4, 0, 0, 4, 4, 0, -4, 0], [0, -6, 0, 0, 0, -4, 0, 0], [0, 0, 6, 0, 0, 0, 0, -4], [-5, 0, 0, -5, -3, 0, 3, 0], [0, -3, 0, 0, 0, -4, 0, 0], [-4, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, 6, 0, 0, 0], [-7, 0, 0, 0, 0, 0, -1, 0], [0, 0, -5, 0, 0, 0, 0, 6], [0, -2, 0, 0, 0, 4, 0, 0], [0, -5, -5, 0, 0, 2, 0, -2], [16, 0, 0, 16, -2, 0, 2, 0], [0, -1, -1, 0, 0, -2, 0, 2], [0, 0, 0, 5, -6, 0, 0, 0], [0, -5, -5, 0, 0, -4, 0, 4], [7, 0, 0, 7, 3, 0, -3, 0], [0, 0, 0, -7, 3, 0, 0, 0], [0, 0, 0, -7, -3, 0, 0, 0], [0, -3, -3, 0, 0, 6, 0, -6], [-1, 0, 0, 0, 0, 0, -4, 0], [0, -2, 0, 0, 0, -8, 0, 0], [0, -3, -3, 0, 0, 6, 0, -6], [19, 0, 0, 19, 0, 0, 0, 0], [0, 0, -4, 0, 0, 0, 0, -8], [0, 0, 3, 0, 0, 0, 0, -4], [0, 2, 0, 0, 0, -12, 0, 0], [0, -3, 0, 0, 0, 8, 0, 0], [0, 0, 0, 8, -4, 0, 0, 0], [-4, 0, 0, 0, 0, 0, -6, 0], [0, 0, 3, 0, 0, 0, 0, -4], [0, 0, 0, -16, -4, 0, 0, 0], [0, 8, 8, 0, 0, -8, 0, 8], [0, 0, 0, -10, 8, 0, 0, 0], [0, 9, 9, 0, 0, 6, 0, -6], [-8, 0, 0, -8, -2, 0, 2, 0], [0, 0, -1, 0, 0, 0, 0, 4], [-1, 0, 0, 0, 0, 0, -1, 0], [0, 0, 0, 11, -6, 0, 0, 0], [0, 5, 0, 0, 0, -6, 0, 0], [-7, 0, 0, 0, 0, 0, -4, 0], [0, 1, 1, 0, 0, 8, 0, -8], [0, 4, 0, 0, 0, -8, 0, 0], [13, 0, 0, 13, -3, 0, 3, 0], [-16, 0, 0, 0, 0, 0, -6, 0], [-1, 0, 0, 0, 0, 0, -1, 0], [0, -5, 0, 0, 0, -2, 0, 0], [0, 0, 3, 0, 0, 0, 0, -4], [0, 0, 0, -7, 0, 0, 0, 0], [0, -7, 0, 0, 0, 0, 0, 0], [-8, 0, 0, -8, -2, 0, 2, 0], [0, -5, -5, 0, 0, 2, 0, -2], [0, 0, 0, 8, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -4], [7, 0, 0, 7, -6, 0, 6, 0], [0, 0, 0, -31, 3, 0, 0, 0], [0, 0, 2, 0, 0, 0, 0, 16], [0, 6, 6, 0, 0, -12, 0, 12], [-25, 0, 0, 0, 0, 0, 2, 0], [0, 1, 0, 0, 0, -8, 0, 0], [17, 0, 0, 0, 0, 0, -7, 0], [0, 4, 4, 0, 0, -4, 0, 4], [0, 0, 2, 0, 0, 0, 0, 4], [8, 0, 0, 0, 0, 0, 0, 0], [0, 10, 0, 0, 0, 4, 0, 0], [0, 0, 0, 35, 3, 0, 0, 0], [0, 0, 2, 0, 0, 0, 0, -8], [0, 0, -12, 0, 0, 0, 0, 8], [0, 3, 3, 0, 0, 0, 0, 0], [13, 0, 0, 13, -3, 0, 3, 0], [-5, 0, 0, -5, -6, 0, 6, 0], [25, 0, 0, 25, 3, 0, -3, 0], [0, 0, -6, 0, 0, 0, 0, -4], [0, 6, 6, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -12, 0, 12], [-1, 0, 0, 0, 0, 0, 5, 0], [8, 0, 0, 0, 0, 0, 6, 0], [0, -3, 0, 0, 0, 2, 0, 0], [0, 0, 5, 0, 0, 0, 0, -8], [0, 0, -11, 0, 0, 0, 0, 6], [17, 0, 0, 0, 0, 0, 2, 0], [-19, 0, 0, 0, 0, 0, 11, 0], [0, 0, 0, 8, 2, 0, 0, 0], [0, 0, 7, 0, 0, 0, 0, 0], [-13, 0, 0, 0, 0, 0, 5, 0], [1, 0, 0, 1, 3, 0, -3, 0], [0, 0, 0, 0, 0, 20, 0, 0], [0, 0, 0, 11, 3, 0, 0, 0], [0, -2, -2, 0, 0, 8, 0, -8], [0, 2, 2, 0, 0, 16, 0, -16], [0, 0, 11, 0, 0, 0, 0, 10], [-2, 0, 0, -2, 16, 0, -16, 0], [17, 0, 0, 0, 0, 0, 2, 0], [0, 4, 4, 0, 0, 8, 0, -8], [0, -5, -5, 0, 0, 2, 0, -2], [-4, 0, 0, 0, 0, 0, 12, 0], [0, -11, 0, 0, 0, -8, 0, 0], [1, 0, 0, 1, 12, 0, -12, 0], [0, 5, 0, 0, 0, 18, 0, 0], [0, 0, 0, -19, 9, 0, 0, 0], [20, 0, 0, 0, 0, 0, -6, 0], [0, 0, 0, -7, 9, 0, 0, 0], [0, 1, 0, 0, 0, -14, 0, 0], [13, 0, 0, 13, -9, 0, 9, 0], [0, 0, 0, -13, -12, 0, 0, 0], [0, -7, -7, 0, 0, 4, 0, -4], [1, 0, 0, 1, 12, 0, -12, 0], [0, 0, 0, 0, 0, 0, 0, -4], [35, 0, 0, 0, 0, 0, 5, 0], [0, 10, 10, 0, 0, -16, 0, 16], [0, 9, 9, 0, 0, 12, 0, -12], [-8, 0, 0, -8, 4, 0, -4, 0], [0, 0, -2, 0, 0, 0, 0, 12], [40, 0, 0, 40, 4, 0, -4, 0], [0, 0, 14, 0, 0, 0, 0, -8], [-13, 0, 0, 0, 0, 0, -16, 0], [0, -15, 0, 0, 0, 2, 0, 0], [0, 0, 0, -25, 6, 0, 0, 0], [0, 8, 0, 0, 0, 0, 0, 0], [31, 0, 0, 31, -9, 0, 9, 0], [0, 8, 8, 0, 0, 4, 0, -4], [0, 0, 0, 11, 6, 0, 0, 0], [0, 7, 7, 0, 0, -28, 0, 28], [-23, 0, 0, -23, 3, 0, -3, 0], [0, 0, -15, 0, 0, 0, 0, 14], [0, 0, 0, -4, -16, 0, 0, 0], [0, -8, -8, 0, 0, -4, 0, 4], [17, 0, 0, 0, 0, 0, 5, 0], [0, 9, 0, 0, 0, -28, 0, 0], [-5, 0, 0, -5, -18, 0, 18, 0], [0, 0, 12, 0, 0, 0, 0, 8], [0, -10, 0, 0, 0, -12, 0, 0], [0, 5, 0, 0, 0, -12, 0, 0], [0, 0, 0, -13, 3, 0, 0, 0], [0, 8, 0, 0, 0, -12, 0, 0], [0, 4, 4, 0, 0, -4, 0, 4], [0, -7, 0, 0, 0, 6, 0, 0], [0, 0, 0, -25, -9, 0, 0, 0], [1, 0, 0, 1, -18, 0, 18, 0]], 'char_orbit_index': 6, 'field_poly': [81, 0, -54, 0, 21, 0, -6, 0, 1], 'hecke_orbit_code': 9007542885679275, 'hecke_ring_character_values': [[20, [1, 0, 0, 0, 0, 0, 0, 0]], [154, [-1, 0, 0, -1, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 135, 135, 45, 45, 135, 9, 135], 'hecke_ring_inverse_denominators': [1, 3, 1, 1, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [0, -1, -2, 0, 0, -2, 0, 1], [2, 0, 0, 1, 1, 0, 0, 0], [0, 1, 0, 0, 0, -3, 0, 1], [-3, 0, 0, -3, 2, 0, 2, 0], [0, 1, 5, 0, 0, -7, 0, 2], [-15, 0, 0, -30, 0, 0, 3, 0], [0, -15, 3, 0, 0, -6, 0, -9]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [0, -162, 0, 87, 0, -21, 0, -1], [0, -27, 0, -48, 0, 24, 0, -1], [-9, 0, -6, 0, 3, 0, -2, 0], [-81, 0, 51, 0, -3, 0, 2, 0], [0, 27, 0, -57, 0, 6, 0, -4], [27, 0, -12, 0, 6, 0, -1, 0], [0, 243, 0, -123, 0, 39, 0, -11]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 8, 'label': '171.2.f.c', 'level': 171, '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

  
  {'Nk2': 684, 'analytic_conductor': 1.3654418745638945, 'char_conductor': 19, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 3, 'char_parity': 1, 'char_values': [171, 3, [20, 154], [3, 1]], 'conrey_index': 64, 'cusp_dim': 32, 'dim': 16, 'eis_dim': 16, 'eis_new_dim': 4, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 343630938283, 'hecke_orbit_dims': [2, 6, 8], 'label': '171.2.f', 'level': 171, '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, 19], 'level_radical': 57, 'mf_dim': 48, 'mf_new_dim': 20, 'num_forms': 3, 'prim_orbit_index': 3, 'relative_dim': 8, 'sturm_bound': 40, 'trace_bound': 1, 'trace_display': [0, 0, 2, -8], 'traces': [16, 0, 0, -8, 2, 0, -8, 12, 0, 4, 4, 0, 0, -2, 0, -8, -4, 0, 4, -44, 0, 8, 10, 0, -4, 32, 0, 12, -4, 0, -32, -12, 0, 4, 18, 0, -8, -42, 0, 0, -16, 0, 8, 14, 0, -16, -24, 0, -16, 56, 0, 4, -2, 0, 12, 48, 0, 64, 10, 0, -20, -26, 0, -56, -12, 0, 8, -8, 0, 48, -12, 0, -28, 4, 0, 88, -20, 0, 16, 10, 0, -44, 8, 0, 48, -18, 0, -72, -22, 0, -16, 2, 0, -96, -2, 0, -32, -20, 0, 24, 36, 0, 0, -42, 0, 32, 56, 0, 36, 24, 0, 0, 20, 0, 16, 52, 0, 32, -4, 0, 72, 64, 0, 36, 0, 0, -4, 18, 0, 48, -28, 0, -48, -108, 0, 36, 36, 0, 4, -36, 0, 0, -46, 0, -16, -24, 0, -36, 6, 0, 24, -36, 0, -100, -2, 0, -24, 22, 0, -112, -34, 0, -8, 64, 0, -92, 10, 0, 32, 0, 0, 104, 28, 0, -44, -34, 0, -8, 4, 0, 48, 44, 0, -48, -2, 0, -56, -24, 0, -4, -12, 0, -16, -68, 0, -20, -60, 0, 36, -18, 0, -72, 28, 0, 40, -10, 0, 64, 44, 0, 40, -70, 0, 124, -14, 0, 64, -4, 0, -96, 40, 0, 36, 14, 0, -8, 12, 0, 16, 56, 0, 24, 20, 0, -24, 44, 0, -44, 60, 0, 60, 52, 0, -24, -32, 0, 88, 24, 0, 84, 16, 0, -56, 48, 0, 112, -22, 0, -80, 42, 0, -32, 44, 0, -168, -40, 0, -16, -2, 0, -16, 4, 0, 0, -26, 0, -16, -20, 0, 24, -46, 0, 40, 24, 0, -56, -48, 0, 24, -56, 0, 200, -32, 0, 84, 12, 0, -48, -74, 0, 80, 56, 0, -92, 44, 0, 44, -34, 0, 68, -52, 0, -84, 44, 0, 72, -46, 0, 8, -22, 0, 160, 4, 0, -12, -50, 0, -132, 0, 0, -144, -20, 0, 56, 52, 0, -84, 40, 0, -48, 84, 0, -112, 0, 0, 8, 38, 0, -48, 76, 0, -44, -100, 0, -60, -2, 0, -52, -24, 0, -128, -40, 0, -60, 50, 0, 60, 44, 0, -52, -50, 0, -48, 8, 0, 12, -28, 0, 40, -28, 0, 48, 42, 0, 24, 12, 0, 72, 18, 0, -64, -72, 0, 132, -18, 0, 24, -124, 0, 120, -26, 0, -44, 36, 0, -304, 12, 0, -76, -112, 0, 136, -2, 0, -32, 52, 0, 292, 20, 0, -4, -14, 0, -36, -40, 0, 68, 76, 0, 104, 8, 0, 12, -24, 0, -320, 98, 0, 64, 60, 0, 20, -68, 0, 256, 62, 0, 184, 56, 0, 96, 10, 0, -24, -60, 0, -104, -8, 0, 44, 54, 0, 176, -56, 0, 4, 96, 0, 68, 24, 0, 132, -46, 0, -132, -8, 0, -84, 12, 0, -20, 128, 0, -184, 56, 0, 8, 42, 0, -52, -4, 0, 256, -8, 0, -36, 36, 0, -176, -24, 0, -280, 76, 0, 152, -232, 0, -172, -56, 0, 0, -96, 0, 16, -86, 0, -108, 6, 0, -216, -188, 0, 44, -56, 0, -200, 12, 0, -44, 84, 0, -68, 144, 0, -116, 36, 0, 56, 96, 0, -8, 120, 0, 152, -80, 0, 152, 36, 0, 248, 4, 0, 72, 108, 0, 192, 4, 0, 72, 66, 0, -152, -8, 0, 0, -56, 0, -12, 0, 0, 40, -86, 0, 108, -6, 0, 56, -32, 0, -224, 24, 0, 20, -30, 0, -16, -10, 0, 48, 48, 0, 12, 6, 0, 48, 60, 0, 68, -66, 0, 120, -4, 0, 52, -10, 0, -216, -54, 0, 16, -24, 0, 8, 0, 0, 360, 34, 0, -72, -268, 0, -20, 18, 0, 44, 104, 0, -320, -12, 0, -12, 36, 0, 208, -112, 0, 0, -128, 0, -36, 64, 0, 80, 34, 0, -172, 72, 0, -52, -52, 0, -12, -56, 0, -172, -8, 0, 312, 90, 0, -64, 14, 0, 312, 114, 0, 144, 122, 0, -184, -34, 0, -8, 68, 0, 16, -16, 0, -76, 0, 0, -288, -156, 0, -216, 26, 0, -28, 2, 0, -208, 8, 0, -20, 212, 0, -48, -64, 0, -144, -34, 0, -36, 124, 0, -104, 20, 0, 4, -144, 0, -132, 58, 0, -72, 14, 0, -48, -10, 0, -72, 60, 0, 124, 60, 0, 144, -72, 0, -152, 4, 0, -16, -244, 0, 148, 38, 0, -56, 44, 0, 200, -122, 0, -24, -28, 0, 80, -120, 0, 48, 48, 0, 184, -40, 0, 12, 46, 0, 240, 124, 0, 0, -90, 0, 12, -172, 0, 96, 60, 0, 152, -40, 0, -96, -132, 0, -408, 16, 0, -132, 16, 0, -32, -34, 0, 360, 114, 0, 264, -76, 0, 60, 56, 0, 88, -104, 0, 48, -32, 0, -4, 46, 0, 264, 156, 0, 72, -132, 0, 36, 44, 0, 144, 46, 0, -292, 168, 0, -16, 36, 0, 116, -48, 0, -148, -116, 0, -168, 104, 0, -96, 24, 0, 456, 106, 0, -20, 6, 0, -200, -12, 0, -408, 64, 0, -408, 68, 0, -116, -26, 0, 116, 20, 0, -144, -8, 0, 136, 2, 0, 16, 32, 0, -16, -40, 0, -368, 22, 0, 12, 84, 0, -140, 48, 0, -20, -62, 0, 60, 52, 0, -72, 20, 0, 416, 22, 0, 60, -4, 0, 160, 48, 0, 80, -12, 0, 160, 20, 0, 64, -24, 0, -96, 64, 0, 32, 42, 0, 60, 112, 0, -144, 4, 0, 108, 28, 0, 32, -24, 0, -144, 72, 0, 120, -6, 0, 8, -66, 0, 136, -152, 0, 108, 0, 0, 16, -160, 0, 228, 40, 0, -32, 26, 0, 256, 28, 0, -136, -56, 0, -12, 86, 0, 72, -6, 0, 336, 36, 0, 208, -72, 0, -20, -46, 0, 56, -180, 0, -488, -48, 0, 20, 24, 0, 168, -192, 0, 96, 32, 0, 16, -42, 0, 88, 32, 0, -168, 68, 0, 76, -82, 0, -132, 164, 0, -144, 106, 0, -120], '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: 143105
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 6, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '171.2.f.c', 'target_level': 171, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 143106
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 6, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '171.2.f.c', 'target_level': 171, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 143107
    {'conductor': 19, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 6, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '171.2.f.c', 'target_level': 171, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '19.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 143108
    {'conductor': 57, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 6, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '171.2.f.c', 'target_level': 171, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '57.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 143109
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 19, 'target_dim': 8, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '2736.2.s.bb', 'target_level': 2736, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 143110
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 19, 'target_dim': 8, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '2736.2.s.bb', 'target_level': 2736, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 143111
    {'conductor': 76, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 19, 'target_dim': 8, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '2736.2.s.bb', 'target_level': 2736, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '76.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 143112
    {'conductor': 228, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 19, 'target_dim': 8, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '2736.2.s.bb', 'target_level': 2736, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '228.m', 'twisting_char_orbit': 13, 'weight': 2}
  • id: 143113
    {'conductor': 19, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '3249.2.a.bd', 'target_level': 3249, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '19.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 143114
    {'conductor': 57, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 30, 'target_is_minimal': False, 'target_label': '3249.2.a.bd', 'target_level': 3249, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '57.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 143115
    {'conductor': 19, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 31, 'target_is_minimal': False, 'target_label': '3249.2.a.be', 'target_level': 3249, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '19.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 143116
    {'conductor': 57, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 8, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '171.2.f.c', 'source_level': 171, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 31, 'target_is_minimal': False, 'target_label': '3249.2.a.be', 'target_level': 3249, 'twist_class_label': '171.2.f.c', 'twist_class_level': 171, 'twisting_char_label': '57.f', 'twisting_char_orbit': 6, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 440675
    {'charpoly_factorization': [[[9, 0, 18, 0, 33, 0, 6, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 2}
  • id: 440676
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9007542885679275, 'p': 3}
  • id: 440677
    {'charpoly_factorization': [[[144, 0, 144, 0, 132, 0, 12, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 5}
  • id: 440678
    {'charpoly_factorization': [[[-5, 2, 1], 4]], 'hecke_orbit_code': 9007542885679275, 'p': 7}
  • id: 440679
    {'charpoly_factorization': [[[108, 0, -36, 0, 1], 2]], 'hecke_orbit_code': 9007542885679275, 'p': 11}
  • id: 440680
    {'charpoly_factorization': [[[1, -1, 1], 4]], 'hecke_orbit_code': 9007542885679275, 'p': 13}
  • id: 440681
    {'charpoly_factorization': [[[36864, 0, 9216, 0, 2112, 0, 48, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 17}
  • id: 440682
    {'charpoly_factorization': [[[19, -2, 1], 4]], 'hecke_orbit_code': 9007542885679275, 'p': 19}
  • id: 440683
    {'charpoly_factorization': [[[90000, 0, 10800, 0, 996, 0, 36, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 23}
  • id: 440684
    {'charpoly_factorization': [[[23040000, 0, 691200, 0, 15936, 0, 144, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 29}
  • id: 440685
    {'charpoly_factorization': [[[43, 14, 1], 4]], 'hecke_orbit_code': 9007542885679275, 'p': 31}
  • id: 440686
    {'charpoly_factorization': [[[-23, 2, 1], 4]], 'hecke_orbit_code': 9007542885679275, 'p': 37}
  • id: 440687
    {'charpoly_factorization': [[[589824, 0, 73728, 0, 8448, 0, 96, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 41}
  • id: 440688
    {'charpoly_factorization': [[[2809, 106, 57, -2, 1], 2]], 'hecke_orbit_code': 9007542885679275, 'p': 43}
  • id: 440689
    {'charpoly_factorization': [[[589824, 0, 73728, 0, 8448, 0, 96, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 47}
  • id: 440690
    {'charpoly_factorization': [[[144, 0, 144, 0, 132, 0, 12, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 53}
  • id: 440691
    {'charpoly_factorization': [[[18766224, 0, 571824, 0, 13092, 0, 132, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 59}
  • id: 440692
    {'charpoly_factorization': [[[25, 5, 1], 4]], 'hecke_orbit_code': 9007542885679275, 'p': 61}
  • id: 440693
    {'charpoly_factorization': [[[25, 70, 201, -14, 1], 2]], 'hecke_orbit_code': 9007542885679275, 'p': 67}
  • id: 440694
    {'charpoly_factorization': [[[23040000, 0, 691200, 0, 15936, 0, 144, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 71}
  • id: 440695
    {'charpoly_factorization': [[[25, 5, 1], 4]], 'hecke_orbit_code': 9007542885679275, 'p': 73}
  • id: 440696
    {'charpoly_factorization': [[[25, 70, 201, -14, 1], 2]], 'hecke_orbit_code': 9007542885679275, 'p': 79}
  • id: 440697
    {'charpoly_factorization': [[[1728, 0, -144, 0, 1], 2]], 'hecke_orbit_code': 9007542885679275, 'p': 83}
  • id: 440698
    {'charpoly_factorization': [[[56250000, 0, 2250000, 0, 82500, 0, 300, 0, 1], 1]], 'hecke_orbit_code': 9007542885679275, 'p': 89}
  • id: 440699
    {'charpoly_factorization': [[[1600, 640, 216, 16, 1], 2]], 'hecke_orbit_code': 9007542885679275, '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': 6, 'hecke_orbit': 3, 'label': '171.2.f.c', 'level': 171, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30654247
    {'hecke_orbit_code': 9007542885679275, 'n': 1, 'trace_an': 8}
  • id: 30654248
    {'hecke_orbit_code': 9007542885679275, 'n': 2, 'trace_an': 0}
  • id: 30654249
    {'hecke_orbit_code': 9007542885679275, 'n': 3, 'trace_an': 0}
  • id: 30654250
    {'hecke_orbit_code': 9007542885679275, 'n': 4, 'trace_an': -4}
  • id: 30654251
    {'hecke_orbit_code': 9007542885679275, 'n': 5, 'trace_an': 0}
  • id: 30654252
    {'hecke_orbit_code': 9007542885679275, 'n': 6, 'trace_an': 0}
  • id: 30654253
    {'hecke_orbit_code': 9007542885679275, 'n': 7, 'trace_an': -8}
  • id: 30654254
    {'hecke_orbit_code': 9007542885679275, 'n': 8, 'trace_an': 0}
  • id: 30654255
    {'hecke_orbit_code': 9007542885679275, 'n': 9, 'trace_an': 0}
  • id: 30654256
    {'hecke_orbit_code': 9007542885679275, 'n': 10, 'trace_an': 0}
  • id: 30654257
    {'hecke_orbit_code': 9007542885679275, 'n': 11, 'trace_an': 0}
  • id: 30654258
    {'hecke_orbit_code': 9007542885679275, 'n': 12, 'trace_an': 0}
  • id: 30654259
    {'hecke_orbit_code': 9007542885679275, 'n': 13, 'trace_an': 4}
  • id: 30654260
    {'hecke_orbit_code': 9007542885679275, 'n': 14, 'trace_an': 0}
  • id: 30654261
    {'hecke_orbit_code': 9007542885679275, 'n': 15, 'trace_an': 0}
  • id: 30654262
    {'hecke_orbit_code': 9007542885679275, 'n': 16, 'trace_an': -4}
  • id: 30654263
    {'hecke_orbit_code': 9007542885679275, 'n': 17, 'trace_an': 0}
  • id: 30654264
    {'hecke_orbit_code': 9007542885679275, 'n': 18, 'trace_an': 0}
  • id: 30654265
    {'hecke_orbit_code': 9007542885679275, 'n': 19, 'trace_an': 8}
  • id: 30654266
    {'hecke_orbit_code': 9007542885679275, 'n': 20, 'trace_an': 0}
  • id: 30654267
    {'hecke_orbit_code': 9007542885679275, 'n': 21, 'trace_an': 0}
  • id: 30654268
    {'hecke_orbit_code': 9007542885679275, 'n': 22, 'trace_an': 24}
  • id: 30654269
    {'hecke_orbit_code': 9007542885679275, 'n': 23, 'trace_an': 0}
  • id: 30654270
    {'hecke_orbit_code': 9007542885679275, 'n': 24, 'trace_an': 0}
  • id: 30654271
    {'hecke_orbit_code': 9007542885679275, 'n': 25, 'trace_an': -4}
  • id: 30654272
    {'hecke_orbit_code': 9007542885679275, 'n': 26, 'trace_an': 0}
  • id: 30654273
    {'hecke_orbit_code': 9007542885679275, 'n': 27, 'trace_an': 0}
  • id: 30654274
    {'hecke_orbit_code': 9007542885679275, 'n': 28, 'trace_an': 28}
  • id: 30654275
    {'hecke_orbit_code': 9007542885679275, 'n': 29, 'trace_an': 0}
  • id: 30654276
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  • id: 30654277
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  • id: 30654278
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  • id: 30654280
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  • id: 30654281
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  • id: 30654282
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  • id: 30654283
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  • id: 30654284
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  • id: 30654285
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  • id: 30654287
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  • id: 30654289
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  • id: 30654290
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  • id: 30654291
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  • id: 30654292
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  • id: 30654293
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  • id: 30654294
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  • id: 30654295
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  • id: 30654298
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  • id: 30654299
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  • id: 30654300
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  • id: 30654301
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  • id: 30654302
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  • id: 30654303
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  • id: 30654304
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  • id: 30654310
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  • id: 30654311
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  • id: 30654312
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  • id: 30654313
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  • id: 30654316
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  • id: 30654318
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  • id: 30654319
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  • id: 30654320
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  • id: 30654321
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  • id: 30654322
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  • id: 30654323
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  • id: 30654324
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  • id: 30654325
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  • id: 30654328
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  • id: 30654331
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  • id: 30654332
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  • id: 30654338
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  • id: 30654340
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  • id: 30654341
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  • id: 30654343
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  • id: 30654344
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  • id: 30654347
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  • id: 30654348
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  • id: 30654349
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  • id: 30654350
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  • id: 30654351
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  • id: 30654352
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  • id: 30654353
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  • id: 30654354
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  • id: 30654355
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  • id: 30654356
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  • id: 30654357
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  • id: 30654358
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  • id: 30654359
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  • id: 30654360
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  • id: 30654361
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  • id: 30654362
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  • id: 30654363
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  • id: 30654364
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  • id: 30654365
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  • id: 30654366
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  • id: 30654367
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  • id: 30654368
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  • id: 30654369
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  • id: 30654370
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  • id: 30654371
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  • id: 30654372
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  • id: 30654373
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  • id: 30654374
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  • id: 30654375
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  • id: 30654376
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  • id: 30654377
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  • id: 30654378
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  • id: 30654379
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  • id: 30654380
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  • id: 30654381
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  • id: 30654382
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  • id: 30654383
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  • id: 30654384
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  • id: 30654385
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  • id: 30654386
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  • id: 30654387
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  • id: 30654388
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  • id: 30654389
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  • id: 30654390
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  • id: 30654391
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  • id: 30654392
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  • id: 30654393
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  • id: 30654394
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  • id: 30654395
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  • id: 30654396
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  • id: 30654397
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  • id: 30654398
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  • id: 30654399
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  • id: 30654400
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  • id: 30654401
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  • id: 30654402
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  • id: 30654403
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  • id: 30654404
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  • id: 30654405
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  • id: 30654406
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  • id: 30654407
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  • id: 30654408
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  • id: 30654409
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  • id: 30654410
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  • id: 30654411
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  • id: 30654412
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  • id: 30654413
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  • id: 30654414
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  • id: 30654415
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  • id: 30654416
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  • id: 30654417
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  • id: 30654418
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  • id: 30654419
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  • id: 30654420
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  • id: 30654421
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  • id: 30654422
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  • id: 30654423
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  • id: 30654424
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  • id: 30654425
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  • id: 30654426
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  • id: 30654427
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  • id: 30654428
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  • id: 30654429
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  • id: 30654430
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  • id: 30654431
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  • id: 30654432
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  • id: 30654433
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  • id: 30654434
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  • id: 30654435
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  • id: 30654436
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  • id: 30654437
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  • id: 30654438
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  • id: 30654439
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  • id: 30654440
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  • id: 30654441
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  • id: 30654442
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  • id: 30654443
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  • id: 30654444
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  • id: 30654445
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  • id: 30654446
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  • id: 30654447
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  • id: 30654448
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  • id: 30654449
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  • id: 30654450
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  • id: 30654451
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  • id: 30654452
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  • id: 30654455
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  • id: 30654456
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  • id: 30654458
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  • id: 30654459
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  • id: 30654461
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  • id: 30654462
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  • id: 30654463
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  • id: 30654464
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  • id: 30654465
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  • id: 30654466
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  • id: 30654467
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  • id: 30654468
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  • id: 30654469
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  • id: 30654470
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  • id: 30654471
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  • id: 30654472
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  • id: 30654473
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  • id: 30654475
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  • id: 30654476
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  • id: 30654477
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  • id: 30654478
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  • id: 30654479
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  • id: 30654480
    {'hecke_orbit_code': 9007542885679275, 'n': 839, 'trace_an': 0}
  • id: 30654481
    {'hecke_orbit_code': 9007542885679275, 'n': 841, 'trace_an': -172}
  • id: 30654482
    {'hecke_orbit_code': 9007542885679275, 'n': 853, 'trace_an': 100}
  • id: 30654483
    {'hecke_orbit_code': 9007542885679275, 'n': 857, 'trace_an': 0}
  • id: 30654484
    {'hecke_orbit_code': 9007542885679275, 'n': 859, 'trace_an': 124}
  • id: 30654485
    {'hecke_orbit_code': 9007542885679275, 'n': 863, 'trace_an': 0}
  • id: 30654486
    {'hecke_orbit_code': 9007542885679275, 'n': 877, 'trace_an': -44}
  • id: 30654487
    {'hecke_orbit_code': 9007542885679275, 'n': 881, 'trace_an': 0}
  • id: 30654488
    {'hecke_orbit_code': 9007542885679275, 'n': 883, 'trace_an': -92}
  • id: 30654489
    {'hecke_orbit_code': 9007542885679275, 'n': 887, 'trace_an': 0}
  • id: 30654490
    {'hecke_orbit_code': 9007542885679275, 'n': 907, 'trace_an': 16}
  • id: 30654491
    {'hecke_orbit_code': 9007542885679275, 'n': 911, 'trace_an': 0}
  • id: 30654492
    {'hecke_orbit_code': 9007542885679275, 'n': 919, 'trace_an': 136}
  • id: 30654493
    {'hecke_orbit_code': 9007542885679275, 'n': 929, 'trace_an': 0}
  • id: 30654494
    {'hecke_orbit_code': 9007542885679275, 'n': 937, 'trace_an': -20}
  • id: 30654495
    {'hecke_orbit_code': 9007542885679275, 'n': 941, 'trace_an': 0}
  • id: 30654496
    {'hecke_orbit_code': 9007542885679275, 'n': 947, 'trace_an': 0}
  • id: 30654497
    {'hecke_orbit_code': 9007542885679275, 'n': 953, 'trace_an': 0}
  • id: 30654498
    {'hecke_orbit_code': 9007542885679275, 'n': 961, 'trace_an': 192}
  • id: 30654499
    {'hecke_orbit_code': 9007542885679275, 'n': 967, 'trace_an': 52}
  • id: 30654500
    {'hecke_orbit_code': 9007542885679275, 'n': 971, 'trace_an': 0}
  • id: 30654501
    {'hecke_orbit_code': 9007542885679275, 'n': 977, 'trace_an': 0}
  • id: 30654502
    {'hecke_orbit_code': 9007542885679275, 'n': 983, 'trace_an': 0}
  • id: 30654503
    {'hecke_orbit_code': 9007542885679275, 'n': 991, 'trace_an': 100}
  • id: 30654504
    {'hecke_orbit_code': 9007542885679275, 'n': 997, 'trace_an': 4}