Newform data - 880.2.t.a

Formats: - HTML - YAML - JSON - 2026-02-28T23:13:22.524301

• 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': 3520, 'analytic_conductor': 7.026835377872674, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 880, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 4, 'char_parity': 1, 'char_values': [880, 4, [111, 661, 177, 321], [4, 1, 1, 2]], 'cm_discs': [], 'conrey_index': 197, 'dim': 8, 'field_disc': 40960000, 'field_disc_factorization': [[2, 16], [5, 4]], 'field_poly': [1, 0, 0, 0, 7, 0, 0, 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': [[3, [1, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 1305703613296, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 16, 'hecke_ring_index_factorization': [[2, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 11, 2, -1, 2, 0], [1, 1, 80, 9, -1, 4, 0], [1, 1, 880, 20, 1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '880.2.t.a', 'level': 880, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 11], 'level_radical': 110, 'minimal_twist': '880.2.t.a', 'nf_label': '8.0.40960000.1', 'prim_orbit_index': 20, 'qexp_display': 'q+(-\\beta _{1}+\\beta _{6})q^{2}+\\beta _{3}q^{3}+2q^{4}+\\beta _{4}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '880.2.t', 'trace_display': [0, 0, 0, 0], 'trace_hash': 510969645573531590, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.029', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.962', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.515', 'prec': 17}, {'__RealLiteral__': 0, 'data': '427.492', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '33382.104', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.644', 'prec': 17}, 'traces': [8, 0, 0, 16, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 8, 24, 0, 40, -48, 0, 0, 0, 0, -32, 0, 0, 40, 0, 32, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, -40, 0, 0, -16, -24, 0, 0, 0, 0, 64, 0, -8, 0, 0, 24, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 16, -24, 0, 0, 48, 0, 0, 0, 0, 32, 0, 0, 80, 0, -40, -56, -96, 0, 0, 0, 0, 0, 0, 16, 0, 0, 24, 40, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 80, -72, 0, 0, 0, 0, 0, -24, 64, 0, -48, -16, 0, 0, 0, 0, -48, 0, 0, -120, 0, 0, -48, 0, 0, 0, 0, 0, 0, -40, -32, 0, 0, 40, 0, 0, 0, 0, 16, 0, 0, 24, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, -80, -48, 0, 0, 0, 0, 0, 0, 16, -16, 0, 0, -128, -120, 0, 0, 0, 48, 0, 0, -40, 0, 96, -48, -64, 0, 0, 0, -96, 0, -80, -120, 0, -40, 0, 80, 0, 0, 0, -56, 0, 0, -32, 0, -96, 80, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -72, 0, 0, 0, 0, 128, -72, 48, 0, 0, 0, 8, 0, -16, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 96, -64, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 32, 0, 0, 0, 40, 0, 0, -80, 0, 0, 40, 96, 0, 0, 0, 80, 0, 0, -56, 0, 0, 0, 40, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, -40, 0, 0, 64, 0, 0, 0, 0, 0, 0, 120, -48, 0, 0, 40, 112, 0, 0, 0, 0, 0, 32, 96, 0, 0, -48, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 32, 96, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 64, 0, 0, 0, -24, 0, -40, -72, 0, 64, 144, 0, 0, 0, 0, -64, 0, 0, 144, 0, 0, 160, -168, 0, 0, 0, 0, 0, 120, -80, 0, 0, 72, -112, 0, 0, 0, -192, 0, 160, 144, 0, -40, -120, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -64, 120, 0, 0, 0, 48, 0, 0, 0, 0, 48, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 48, 0, 0, 0, 80, 0, 80, 56, 0, 0, -40, -120, 0, 0, 0, 0, 0, 24, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -120, 0, -152, 0, -88, 0, 0, 0, 0, 0, -80, -128, 0, 0, -56, 0, 0, 0, 0, 0, 0, 48, 0, 0, -24, 0, -80, 0, 0, 0, 120, 0, 0, 120, 0, 0, 0, -32, 0, 0, 0, 128, 0, 0, 0, 0, -48, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 160, 0, 0, 0, -144, 0, 40, 0, 0, -40, 48, 120, 0, 0, 0, 0, 0, -40, 144, 0, 0, 40, 0, 0, 0, 0, 80, 0, -48, 0, 0, 120, 128, 80, 0, 0, 0, -120, 0, 40, -96, 0, 0, 0, -32, 0, 0, 0, 0, 0, -40, -200, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 128, 0, -96, 0, -40, 0, 0, 0, 0, 0, 0, 168, 0, -104, -240, 120, 0, 0, 0, 200, 0, 24, 0, 0, -80, 0, -96, 0, 0, 0, 0, 0, -240, 0, 0, 72, 0, 0, 0, 0, 0, -120, 0, -80, -240, 0, 0, 0, 96, 0, 0, 0, 0, 0, -80, -160, 0, 120, -64, 120, 0, 0, 0, 40, 0, 0, 0, 0, 120, 0, 80, 0, 0, 0, 0, 0, -32, 168, 0, 80, 0, 56, 0, 0, 0, -40, 0, 0, -160, 0, 32, 0, 96, 0, 0, 0, 0, 0, 0, 80, 0, 0, 48, -104, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, -32, 0, -104, 80, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 40, 0, 0, 0, 0, 0, 0, -120, 0, 112, 0, -72, 0, 0, 0, 0, 0, -80, -160, 0, 0, 80, -96, 0, 0, 0, 0, 0, 0, -72, 0, -240, 0, -160, 0, 0, 0, 0, 0, -40, 240, 0, 0, -360, 8, 0, 0, 0, 80, 0, 32, 0, 0, 0, -32, -240, 0, 0, 0, -48, 0, 0, 0, 0, 192, 0, -256, 0, 0, 0, -240, 0, 16, 0, 0, -152, 0, 0, 0, 0, 0, 160, 0, 0, -80, 0, 96, 64, 240, 0, 0, 0, 96, 0, 0, 0, 0, -48, -80, 0, 0, 0, 0, 0, 0, 80, 192, 0, 200, -168, -96, 0, 0, 0, -128, 0, 0, 16, 0, 0, 0, -144, 0, 0, 0, -64, 0, -24, -120, 0, -192, 64, -304, 0, 0, 0, 0, 0, -160, -48, 0, 0, -240, -40, 0, 0, 0, 80, 0, 0, -80, 0, -80, -160, 0, 0, 0, 0, 160, 0, 0, -40, 0, -120, 0, 0, 0, 0, 0, 240, 0, -16, 120, 0, -112, 0, -200, 0, 0, 0, -16, 0, 0, 0, 0, -112, -64, 0, 0, 0, 0, -48, 0, 0, -192, 0, 0, 40, 160, 0, 0, 0, -96, 0, 80, 216, 0, 144, -120, 0, 0, 0, 0, 0, 0, 16, 288, 0, 0, 240, 0, 0, 0, 0, -80, 0, 0, 120, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, -144, 0, 0, 0, 0, 144, 0, 0, 160, 0, -40, -40, 120, 0, 0, 0, 80, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1, 0, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 1, 0], [0, 0, 0, 1, 0, 0, 0, 0], [2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0], [0, -1, 0, 0, 0, 0, -1, 0], [0, 0, 0, 0, 0, 0, 0, -1], [0, -2, 0, 0, 0, 0, 2, 0], [2, 0, 0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0, 0, 1], [0, -1, 0, 0, -1, 1, 0, 0], [0, 0, 0, 2, 0, 0, 0, 0], [0, 3, 0, 0, 0, 0, -3, 0], [0, 0, 0, 0, -1, 1, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0], [4, 0, 0, 0, 0, 0, 0, 0], [0, -5, 0, 0, 0, 0, 0, 0], [0, -2, 0, 0, 0, 0, 2, 0], [0, 3, 2, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0], [1, 0, 0, 1, 0, 0, 0, -2], [3, 0, 0, -3, 1, -1, 0, 0], [0, -2, 0, 0, 0, 0, -2, 0], [5, 0, 0, 0, 0, 0, 0, 0], [-6, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 5, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -2], [0, 2, -3, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0, 0, -1], [-4, 0, 0, 0, -3, 0, 0, 0], [0, -4, 0, 0, 0, 0, 4, 0], [0, 0, 0, 0, -1, -1, -1, 0], [5, 0, 0, 5, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -5, 0], [4, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, -2, 0, -3, 0, 0], [-3, 0, 0, -3, -2, -2, 0, 0], [0, 3, 0, 0, 0, 0, 3, 0], [0, 0, -2, 0, 0, 0, 0, 2], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, -1, -1, 0, 0], [0, 3, 1, 0, 0, 0, 3, 1], [0, -2, 0, 0, -2, 2, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0, 6, 2], [0, 0, 0, 0, 2, -2, 0, 0], [0, 0, 0, 4, 0, 0, 0, 0], [0, 0, 0, 2, 0, 0, 0, 0], [0, -5, 0, 0, 0, 0, 5, 0], [0, 0, 0, 0, 0, 0, -5, 0], [0, 6, 0, 0, 0, 0, -6, 0], [6, 0, 0, 0, -1, 0, 0, 0], [0, -5, 0, 0, 0, 0, -5, 0], [-5, 0, -1, 5, 0, 0, 0, 0], [0, 0, 0, 0, -2, 2, 0, 0], [0, 0, 0, 0, 0, 0, 3, 2], [-2, 0, 0, -2, 3, 3, 0, 0], [-3, 0, 0, -3, 1, 1, 0, 0], [0, 0, 0, 0, 0, 2, 0, 0], [0, 0, 0, 0, 0, 0, 0, -1], [0, 4, 3, 0, 0, 0, -4, -3], [0, 0, 0, 0, 0, 0, 0, -2], [8, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, -3], [-1, 0, 2, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, -10, 0, 0, 0, 0, 0, 0], [3, 0, 0, 3, 1, 1, 0, 0], [-5, 0, 0, 5, 0, 0, 0, 0], [0, 0, 0, 6, 0, 1, 0, 0], [0, -4, 0, 0, 0, 0, 4, 0], [0, 6, -2, 0, 0, 0, 0, 0], [0, 2, 3, 0, 0, 0, 2, 3], [0, 0, 0, 5, 0, 0, 0, 0], [0, 6, 4, 0, 0, 0, 0, 0], [0, 5, 0, 0, -1, 0, 5, 0], [0, 0, 0, -6, 0, 0, 0, 0], [0, 3, -1, 0, 0, 0, -3, 1], [0, 0, 0, 0, 4, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 2, -3, 0, 0, 0, -2, 3], [0, 0, 2, 0, 0, 0, 0, 0], [0, 0, -5, 0, 0, 0, 0, 0], [0, 0, 0, -6, 0, -2, 0, 0], [0, 0, 0, 0, 0, 0, 2, -3], [2, 0, 0, 2, 0, 0, 0, -4], [-3, 0, 0, 0, 0, 0, 0, 0], [0, 0, -2, 0, 0, 0, 0, 2], [0, 0, 0, 0, 3, -3, 0, 0], [6, 0, 0, -6, 2, -2, 0, 0], [0, 0, 0, -4, 0, -3, 0, 0], [0, 0, 0, 0, 0, 0, 0, 4], [0, 10, 3, 0, 0, 0, 0, 0], [0, -4, 0, 0, 0, 0, -4, 0], [4, 0, 0, -4, -3, 3, 0, 0], [0, -2, 0, 0, 0, 0, -2, 0], [0, -2, 0, 0, -2, 2, 0, 0], [10, 0, 0, 0, 0, 0, 0, 0]], 'ap': [[0, -1, 0, 0, 0, 0, 1, 0], [0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -1], [0, -1, 0, 0, -1, 1, 0, 0], [0, 3, 0, 0, 0, 0, -3, 0], [0, -5, 0, 0, 0, 0, 0, 0], [0, 3, 2, 0, 0, 0, 0, 0], [3, 0, 0, -3, 1, -1, 0, 0], [0, 2, -3, 0, 0, 0, 0, 0], [-4, 0, 0, 0, -3, 0, 0, 0], [0, 0, 0, -2, 0, -3, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 3, 1, 0, 0, 0, 3, 1], [0, 0, 0, 0, 2, -2, 0, 0], [6, 0, 0, 0, -1, 0, 0, 0], [-3, 0, 0, -3, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, -1], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 6, 0, 1, 0, 0], [0, 6, -2, 0, 0, 0, 0, 0], [0, 3, -1, 0, 0, 0, -3, 1], [0, 2, -3, 0, 0, 0, -2, 3], [-3, 0, 0, 0, 0, 0, 0, 0], [4, 0, 0, -4, -3, 3, 0, 0], [0, 16, 0, 0, 0, 0, 0, 0], [-7, 0, 0, 7, 3, -3, 0, 0], [0, 4, -3, 0, 0, 0, -4, 3], [0, 12, 2, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1, 0, 0], [0, 0, 2, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, -6], [-9, 0, 0, -9, 2, 2, 0, 0], [0, 0, 0, 0, 0, 0, 12, 4], [0, 0, 0, 0, 0, 0, -10, 3], [0, -6, 1, 0, 0, 0, 6, -1], [0, 0, 0, 0, -9, 0, 0, 0], [0, 0, 0, 11, 0, -6, 0, 0], [0, 0, 0, 0, 0, 0, 8, 3], [0, -7, -3, 0, 0, 0, 7, 3], [0, 0, 0, 0, -4, 4, 0, 0], [10, 0, 0, -10, -3, 3, 0, 0], [-6, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -9, 4], [0, 4, 3, 0, 0, 0, -4, -3], [-2, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 0, 0, 0, -15, -4], [-5, 0, 0, -5, 0, 0, 0, 0], [0, -9, 0, 0, 0, 0, -9, 0], [-7, 0, 0, -7, -6, -6, 0, 0], [0, 5, 0, 0, 0, 0, 0, 0], [0, 0, -6, 0, 0, 0, 0, 6], [0, -9, 0, 0, 0, 0, -9, 0], [-9, 0, 0, 9, 4, -4, 0, 0], [-9, 0, 0, 9, -1, 1, 0, 0], [0, -16, 3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 5, -5, 0, 0], [0, -9, 0, 0, 0, 0, -9, 0], [0, -3, 0, 0, 0, 0, 3, 0], [0, -9, -3, 0, 0, 0, 9, 3], [0, -6, -5, 0, 0, 0, -6, -5], [0, 0, 3, 0, 0, 0, 0, 3], [0, -15, 2, 0, 0, 0, -15, 2], [0, 0, 0, 6, 0, 7, 0, 0], [5, 0, 0, -5, -3, 3, 0, 0], [-12, 0, 0, 0, -5, 0, 0, 0], [-5, 0, 0, 5, -3, 3, 0, 0], [0, -15, -4, 0, 0, 0, 0, 0], [0, 10, -3, 0, 0, 0, -10, 3], [0, -12, 8, 0, 0, 0, 0, 0], [12, 0, 0, 12, -2, -2, 0, 0], [0, 5, -6, 0, 0, 0, 5, -6], [4, 0, 0, -4, -3, 3, 0, 0], [0, 6, -5, 0, 0, 0, 6, -5], [8, 0, 0, 8, 0, 0, 0, 0], [-3, 0, 0, -3, 1, 1, 0, 0], [18, 0, 0, 18, -2, -2, 0, 0], [18, 0, 0, 0, 6, 0, 0, 0], [-21, 0, 0, 0, 0, 0, 0, 0], [0, -3, -9, 0, 0, 0, -3, -9], [18, 0, 0, -18, -1, 1, 0, 0], [-5, 0, 0, 5, 3, -3, 0, 0], [0, 4, -3, 0, 0, 0, 4, -3], [-8, 0, 0, -8, 0, 0, 0, 0], [0, 12, 0, 0, 0, 0, 12, 0], [6, 0, 0, 0, -4, 0, 0, 0], [0, 0, 0, 12, 0, 8, 0, 0], [0, 0, 0, 0, 0, 0, 15, 8], [0, 0, 0, 0, 0, 0, -2, -15], [7, 0, 0, 7, -6, -6, 0, 0], [-15, 0, 0, 0, 10, 0, 0, 0], [0, -18, -3, 0, 0, 0, 18, 3], [-19, 0, 0, -19, 3, 3, 0, 0], [0, 19, -6, 0, 0, 0, 0, 0], [-7, 0, 0, 7, -3, 3, 0, 0], [0, -4, -6, 0, 0, 0, 0, 0], [-3, 0, 0, 3, -1, 1, 0, 0], [0, 0, 0, 6, 0, 10, 0, 0], [0, -3, 7, 0, 0, 0, -3, 7], [0, 0, 0, 0, 0, 0, 24, -7], [0, -24, -1, 0, 0, 0, -24, -1], [0, 9, 9, 0, 0, 0, 9, 9], [0, -10, -6, 0, 0, 0, 10, 6], [0, 20, -3, 0, 0, 0, 20, -3], [0, -9, -14, 0, 0, 0, 0, 0], [10, 0, 0, -10, -3, 3, 0, 0], [0, 0, 0, -3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 4, -12], [0, 0, 0, 0, 9, 0, 0, 0], [0, 6, 1, 0, 0, 0, -6, -1], [0, -18, 5, 0, 0, 0, 0, 0], [0, 0, 7, 0, 0, 0, 0, 7], [21, 0, 0, 21, -1, -1, 0, 0], [-13, 0, 0, -13, -9, -9, 0, 0], [0, 0, 0, 0, 0, -9, 0, 0], [9, 0, 0, 0, -18, 0, 0, 0], [0, 0, 0, 5, 0, 6, 0, 0], [-15, 0, 0, -15, -4, -4, 0, 0], [0, 0, 0, 30, 0, 9, 0, 0], [0, -7, 18, 0, 0, 0, 0, 0], [-20, 0, 0, 20, -6, 6, 0, 0], [0, 0, 0, 0, 0, 0, -9, -8], [0, -11, 6, 0, 0, 0, 11, -6], [21, 0, 0, 0, 8, 0, 0, 0], [-5, 0, 0, -5, -12, -12, 0, 0], [0, 0, 0, 0, 0, 0, -14, 3], [-13, 0, 0, -13, 9, 9, 0, 0], [0, 0, 0, -30, 0, -1, 0, 0], [-4, 0, 0, -4, 12, 12, 0, 0], [0, -3, -9, 0, 0, 0, 3, 9], [0, -6, 20, 0, 0, 0, 0, 0], [0, 26, -9, 0, 0, 0, 0, 0], [14, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, -20, 0, 6, 0, 0], [0, 0, -6, 0, 0, 0, 0, 6], [0, -15, 5, 0, 0, 0, 15, -5], [-30, 0, 0, 0, -1, 0, 0, 0], [0, 30, -4, 0, 0, 0, 30, -4], [-30, 0, 0, 0, -2, 0, 0, 0], [0, 5, 6, 0, 0, 0, 5, 6], [0, 15, -2, 0, 0, 0, 0, 0], [0, 16, 12, 0, 0, 0, 0, 0], [20, 0, 0, -20, 3, -3, 0, 0], [0, -14, 6, 0, 0, 0, 14, -6], [8, 0, 0, -8, 3, -3, 0, 0], [-6, 0, 0, 0, 0, 0, 0, 0], [0, 15, 1, 0, 0, 0, 15, 1], [0, 0, 0, 0, 0, 0, -7, 18], [2, 0, 0, 2, 6, 6, 0, 0], [-18, 0, 0, -18, -5, -5, 0, 0], [0, -21, 5, 0, 0, 0, -21, 5], [-6, 0, 0, 0, 18, 0, 0, 0], [0, 0, 0, -25, 0, 6, 0, 0], [0, 0, 0, 0, 0, 0, -10, -12], [0, 0, 0, -17, 0, 6, 0, 0], [30, 0, 0, 0, -9, 0, 0, 0], [0, -15, -9, 0, 0, 0, -15, -9], [0, 0, 0, -3, 0, -4, 0, 0], [0, 0, 0, 0, 0, 0, 30, 2], [0, 0, 0, 0, 0, 0, -8, -15], [27, 0, 0, 0, 4, 0, 0, 0], [0, 5, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -30, 5], [15, 0, 0, -15, -5, 5, 0, 0], [0, 0, 0, 0, 17, -17, 0, 0], [-18, 0, 0, 18, 7, -7, 0, 0], [20, 0, 0, 0, -6, 0, 0, 0], [0, -15, 9, 0, 0, 0, 15, -9]], 'char_orbit_index': 20, 'field_poly': [1, 0, 0, 0, 7, 0, 0, 0, 1], 'hecke_orbit_code': 1305703613296, 'hecke_ring_character_values': [[111, [1, 0, 0, 0, 0, 0, 0, 0]], [661, [0, 0, 0, -1, 0, 0, 0, 0]], [177, [0, 0, 0, -1, 0, 0, 0, 0]], [321, [-1, 0, 0, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 3, 3, 3, 3, 1, 3, 3], 'hecke_ring_inverse_denominators': [1, 2, 2, 1, 2, 2, 1, 2], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [0, -1, 1, 0, 0, 0, 0, 0], [0, 0, 0, 3, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0, -2, 1], [-7, 0, 0, 0, 3, 0, 0, 0], [0, 11, -5, 0, 0, 0, 0, 0], [0, 0, 0, -9, 0, 4, 0, 0], [0, 0, 0, 0, 0, 0, 29, -13]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [0, 5, 0, 0, 0, 1, 0, 0], [0, 11, 0, 0, 0, 1, 0, 0], [0, 0, 8, 0, 0, 0, 1, 0], [7, 0, 0, 0, 2, 0, 0, 0], [0, 0, 6, 0, 0, 0, 1, 0], [0, 0, 0, 13, 0, 0, 0, 2], [0, 0, 0, 29, 0, 0, 0, 4]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 8, 'label': '880.2.t.a', 'level': 880, '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': 3520, 'analytic_conductor': 7.026835377872674, 'char_conductor': 880, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 4, 'char_parity': 1, 'char_values': [880, 4, [111, 661, 177, 321], [4, 1, 1, 2]], 'conrey_index': 197, 'cusp_dim': 280, 'dim': 280, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 1305703613296, 'hecke_orbit_dims': [8, 272], 'label': '880.2.t', 'level': 880, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 11], 'level_radical': 110, 'mf_dim': 296, 'mf_new_dim': 296, 'num_forms': 2, 'prim_orbit_index': 20, 'relative_dim': 140, 'sturm_bound': 288, 'trace_bound': 1, 'trace_display': [0, 0, -4, 0], 'traces': [280, 0, 0, 0, -4, 0, 0, 0, -264, 0, -4, -8, 0, 0, -8, -8, 0, 0, 0, -4, 0, -4, 0, 0, 0, 24, 0, 0, 0, 0, -16, 0, -4, 8, 0, -40, 0, -24, 0, 0, 0, -24, 0, -40, -12, 0, -8, 8, 0, 0, 0, 0, -8, 0, 0, -56, 0, 56, -16, 44, 0, 0, 0, 0, 0, 4, -8, 0, 24, 48, 0, 0, 0, 0, -24, 0, -32, -32, 0, 104, 200, -8, 0, 0, 0, 0, 0, -40, 0, 0, -24, 96, 0, 0, 0, 0, -8, 0, -20, 60, 0, 24, -64, -56, 0, 0, 0, -32, 0, -40, -16, 0, -8, 24, -64, 0, 0, 0, 32, 0, 0, 64, 0, 80, -4, -136, 0, 0, 0, 0, 0, 52, 48, 0, 64, -96, 0, 0, 0, 0, -8, 0, 36, 80, 0, 32, -40, -80, 0, 0, 0, -96, 0, 76, -80, 0, -136, 32, 0, 0, 0, 0, 0, 0, -60, -88, 0, 192, 184, -56, 0, 0, 0, -24, 0, -32, -8, 0, 96, 40, -8, 0, 0, 0, 40, 0, 0, 8, 0, 184, -16, 232, 0, 0, 0, 112, 0, -16, 0, 0, 0, -176, 48, 0, 0, 0, -80, 0, 0, -144, 0, 96, 16, -16, 0, 0, 0, 48, 0, -40, 24, 0, -8, -64, -80, 0, 0, 0, 32, 0, 0, 176, 0, -248, 32, -120, 0, 0, 0, -168, 0, -108, 0, 0, 44, -208, -104, 0, 0, 0, -104, 0, 0, 0, 0, -128, -8, 192, 0, 0, 0, -80, 0, -104, -40, 0, 0, -144, 32, 0, 0, 0, 48, 0, -64, -176, 0, 184, -176, 192, 0, 0, 0, -120, 0, -52, -64, 0, 0, -72, 152, 0, 0, 0, 64, 0, 56, 8, 0, 84, 24, 312, 0, 0, 0, -264, 0, -268, 24, 0, 0, 152, 0, 0, 0, 0, -168, 0, 0, 296, 0, -288, 0, 264, 0, 0, 0, -184, 0, 80, -8, 0, 0, -200, 168, 0, 0, 0, 24, 0, -48, 264, 0, 64, 24, 128, 0, 0, 0, -360, 0, -8, -8, 0, 104, 8, 0, 0, 0, 0, 0, 0, 128, 24, 0, -88, -8, 56, 0, 0, 0, -320, 0, -140, 24, 0, -104, 384, 16, 0, 0, 0, 72, 0, -4, 184, 0, 200, 96, 344, 0, 0, 0, -88, 0, 88, 152, 0, 0, 56, -16, 0, 0, 0, 12, 0, -12, 64, 0, -72, -120, -168, 0, 0, 0, -24, 0, 332, 144, 0, -8, 72, 328, 0, 0, 0, 0, 0, 24, 224, 0, -112, -72, -152, 0, 0, 0, -248, 0, 8, 0, 0, -248, 200, -88, 0, 0, 0, 0, 0, -56, 88, 0, -56, -104, 288, 0, 0, 0, 76, 0, 4, -8, 0, -128, -88, 504, 0, 0, 0, 0, 0, 44, -56, 0, 112, -56, 136, 0, 0, 0, 272, 0, 224, 96, 0, -96, -40, 48, 0, 0, 0, 0, 0, -208, 32, 0, -304, 16, -48, 0, 0, 0, 264, 0, -172, 0, 0, -32, 136, 176, 0, 0, 0, -184, 0, 0, 192, 0, -608, 0, 96, 0, 0, 0, 136, 0, -48, 0, 0, 0, -456, -112, 0, 0, 0, 24, 0, 28, -308, 0, -56, -408, 8, 0, 0, 0, -72, 0, 88, 0, 0, -64, -168, 296, 0, 0, 0, 0, 0, -8, -32, 0, -488, -24, 288, 0, 0, 0, -40, 0, -336, 0, 0, -8, 240, -8, 0, 0, 0, 24, 0, -188, -120, 0, -416, 0, 488, 0, 0, 0, 256, 0, -240, 280, 0, 0, 0, 224, 0, 0, 0, -56, 0, -8, 288, 0, -304, 0, 304, 0, 0, 0, 224, 0, 40, 0, 0, -160, -124, -80, 0, 0, 0, -8, 0, -104, -40, 0, -1040, 0, -520, 0, 0, 0, -520, 0, 12, 0, 0, -80, 496, 0, 0, 0, 0, -224, 0, -32, 176, 0, -352, 0, 232, 0, 0, 0, 160, 0, 192, 24, 0, -80, 216, -40, 0, 0, 0, 152, 0, 8, -416, 0, 344, -120, 120, 0, 0, 0, 688, 0, 200, -600, 0, -160, 328, 328, 0, 0, 0, 8, 0, 128, -56, 0, 160, 0, -520, 0, 0, 0, 480, 0, 304, -8, 0, 176, 768, -192, 0, 0, 0, 96, 0, -76, 216, 0, -448, 0, -560, 0, 0, 0, 240, 0, 224, -112, 0, -24, 160, 312, 0, 0, 0, -128, 0, -4, -40, 0, -140, 272, -552, 0, 0, 0, 280, 0, 456, 168, 0, 336, -264, 88, 0, 0, 0, 0, 0, -168, -128, 0, 624, 0, -256, 0, 0, 0, 408, 0, -80, -72, 0, -232, 472, -288, 0, 0, 0, 0, 0, 136, -392, 0, 80, -8, -104, 0, 0, 0, 544, 0, -104, -104, 0, 320, -264, -8, 0, 0, 0, -160, 0, 0, -80, 0, -32, 120, -304, 0, 0, 0, 384, 0, 260, -8, 0, -8, -528, -56, 0, 0, 0, -192, 0, 44, -88, 0, -448, 0, -720, 0, 0, 0, -384, 0, -200, 0, 0, 0, -424, 0, 0, 0, 0, -156, 0, 56, -256, 0, -8, -8, 384, 0, 0, 0, -24, 0, -672, -304, 0, 48, -360, 248, 0, 0, 0, 360, 0, -208, -216, 0, 312, -72, 344, 0, 0, 0, 728, 0, -56, -16, 0, 0, -496, 24, 0, 0, 0, 0, 0, -140, 8, 0, 64, 440, -192, 0, 0, 0, 24, 0, 76, 192, 0, 0, 72, 0, 0, 0, 0, 176, 0, 28, 96, 0, -344, 0, -560, 0, 0, 0, -672, 0, -288, 192, 0, 416, 48, 0, 0, 0, 0, -176, 0, 28, -64, 0, 680, -24, 280, 0, 0, 0, -248, 0, 196, -184, 0, -72, -456, 0, 0, 0, 0, 32, 0, -392, -168, 0, 1288, 24, 88, 0, 0, 0, 104, 0, 0, 48, 0, 104, 856, 0, 0, 0, 0, -8, 0, 112, 228, 0, 288, 304, 128, 0, 0, 0, 56, 0, -148, 144, 0, -104, 544, 552, 0, 0, 0, 256, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 548107
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 20, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '880.2.t.a', 'source_level': 880, 'target_char_orbit': 20, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '880.2.t.a', 'target_level': 880, 'twist_class_label': '880.2.t.a', 'twist_class_level': 880, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 548108
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '880.2.t.a', 'source_level': 880, 'target_char_orbit': 20, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '880.2.t.a', 'target_level': 880, 'twist_class_label': '880.2.t.a', 'twist_class_level': 880, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 548109
    {'conductor': 80, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '880.2.t.a', 'source_level': 880, 'target_char_orbit': 20, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '880.2.t.a', 'target_level': 880, 'twist_class_label': '880.2.t.a', 'twist_class_level': 880, 'twisting_char_label': '80.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 548110
    {'conductor': 880, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '880.2.t.a', 'source_level': 880, 'target_char_orbit': 20, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '880.2.t.a', 'target_level': 880, 'twist_class_label': '880.2.t.a', 'twist_class_level': 880, 'twisting_char_label': '880.t', 'twisting_char_orbit': 20, 'weight': 2}
  • id: 548111
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '880.2.t.a', 'source_level': 880, 'target_char_orbit': 38, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '880.2.bl.a', 'target_level': 880, 'twist_class_label': '880.2.t.a', 'twist_class_level': 880, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 548112
    {'conductor': 16, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '880.2.t.a', 'source_level': 880, 'target_char_orbit': 38, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '880.2.bl.a', 'target_level': 880, 'twist_class_label': '880.2.t.a', 'twist_class_level': 880, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 548113
    {'conductor': 55, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '880.2.t.a', 'source_level': 880, 'target_char_orbit': 38, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '880.2.bl.a', 'target_level': 880, 'twist_class_label': '880.2.t.a', 'twist_class_level': 880, 'twisting_char_label': '55.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 548114
    {'conductor': 176, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 20, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '880.2.t.a', 'source_level': 880, 'target_char_orbit': 38, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '880.2.bl.a', 'target_level': 880, 'twist_class_label': '880.2.t.a', 'twist_class_level': 880, 'twisting_char_label': '176.l', 'twisting_char_orbit': 12, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1440200
    {'charpoly_factorization': [[[-2, 0, 1], 4]], 'hecke_orbit_code': 1305703613296, 'p': 2}
  • id: 1440201
    {'charpoly_factorization': [[[1, 0, 1], 4]], 'hecke_orbit_code': 1305703613296, 'p': 3}
  • id: 1440202
    {'charpoly_factorization': [[[-5, 0, 1], 4]], 'hecke_orbit_code': 1305703613296, 'p': 5}
  • id: 1440203
    {'charpoly_factorization': [[[25, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 7}
  • id: 1440204
    {'charpoly_factorization': [[[14641, 0, 0, 0, 82, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 1305703613296, 'p': 11}
  • id: 1440205
    {'charpoly_factorization': [[[-18, 0, 1], 4]], 'hecke_orbit_code': 1305703613296, 'p': 13}
  • id: 1440206
    {'charpoly_factorization': [[[625, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 17}
  • id: 1440207
    {'charpoly_factorization': [[[14641, 0, 0, 0, 3122, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 1305703613296, 'p': 19}
  • id: 1440208
    {'charpoly_factorization': [[[64, -96, 72, -12, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 23}
  • id: 1440209
    {'charpoly_factorization': [[[2825761, 0, 0, 0, 6242, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 1305703613296, 'p': 29}
  • id: 1440210
    {'charpoly_factorization': [[[-29, 8, 1], 4]], 'hecke_orbit_code': 1305703613296, 'p': 31}
  • id: 1440211
    {'charpoly_factorization': [[[1681, 0, 98, 0, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 37}
  • id: 1440212
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1305703613296, 'p': 41}
  • id: 1440213
    {'charpoly_factorization': [[[64, 0, 56, 0, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 43}
  • id: 1440214
    {'charpoly_factorization': [[[1600, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 47}
  • id: 1440215
    {'charpoly_factorization': [[[31, -12, 1], 4]], 'hecke_orbit_code': 1305703613296, 'p': 53}
  • id: 1440216
    {'charpoly_factorization': [[[64, 96, 72, 12, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 59}
  • id: 1440217
    {'charpoly_factorization': [[[25, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 61}
  • id: 1440218
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1305703613296, 'p': 67}
  • id: 1440219
    {'charpoly_factorization': [[[961, 0, 82, 0, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 71}
  • id: 1440220
    {'charpoly_factorization': [[[65536, 0, 0, 0, 12032, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 1305703613296, 'p': 73}
  • id: 1440221
    {'charpoly_factorization': [[[64, 0, -56, 0, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 79}
  • id: 1440222
    {'charpoly_factorization': [[[6724, 0, -196, 0, 1], 2]], 'hecke_orbit_code': 1305703613296, 'p': 83}
  • id: 1440223
    {'charpoly_factorization': [[[3, 1], 8]], 'hecke_orbit_code': 1305703613296, 'p': 89}
  • id: 1440224
    {'charpoly_factorization': [[[3364, 928, 128, -16, 1], 2]], 'hecke_orbit_code': 1305703613296, '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': 20, 'hecke_orbit': 1, 'label': '880.2.t.a', 'level': 880, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 12767196
    {'hecke_orbit_code': 1305703613296, 'n': 1, 'trace_an': 8}
  • id: 12767197
    {'hecke_orbit_code': 1305703613296, 'n': 2, 'trace_an': 0}
  • id: 12767198
    {'hecke_orbit_code': 1305703613296, 'n': 3, 'trace_an': 0}
  • id: 12767199
    {'hecke_orbit_code': 1305703613296, 'n': 4, 'trace_an': 16}
  • id: 12767200
    {'hecke_orbit_code': 1305703613296, 'n': 5, 'trace_an': 0}
  • id: 12767201
    {'hecke_orbit_code': 1305703613296, 'n': 6, 'trace_an': 0}
  • id: 12767202
    {'hecke_orbit_code': 1305703613296, 'n': 7, 'trace_an': 0}
  • id: 12767203
    {'hecke_orbit_code': 1305703613296, 'n': 8, 'trace_an': 0}
  • id: 12767204
    {'hecke_orbit_code': 1305703613296, 'n': 9, 'trace_an': 16}
  • id: 12767205
    {'hecke_orbit_code': 1305703613296, 'n': 10, 'trace_an': 0}
  • id: 12767206
    {'hecke_orbit_code': 1305703613296, 'n': 11, 'trace_an': 0}
  • id: 12767207
    {'hecke_orbit_code': 1305703613296, 'n': 12, 'trace_an': 0}
  • id: 12767208
    {'hecke_orbit_code': 1305703613296, 'n': 13, 'trace_an': 0}
  • id: 12767209
    {'hecke_orbit_code': 1305703613296, 'n': 14, 'trace_an': 0}
  • id: 12767210
    {'hecke_orbit_code': 1305703613296, 'n': 15, 'trace_an': 0}
  • id: 12767211
    {'hecke_orbit_code': 1305703613296, 'n': 16, 'trace_an': 32}
  • id: 12767212
    {'hecke_orbit_code': 1305703613296, 'n': 17, 'trace_an': 0}
  • id: 12767213
    {'hecke_orbit_code': 1305703613296, 'n': 18, 'trace_an': 0}
  • id: 12767214
    {'hecke_orbit_code': 1305703613296, 'n': 19, 'trace_an': 0}
  • id: 12767215
    {'hecke_orbit_code': 1305703613296, 'n': 20, 'trace_an': 0}
  • id: 12767216
    {'hecke_orbit_code': 1305703613296, 'n': 21, 'trace_an': 0}
  • id: 12767217
    {'hecke_orbit_code': 1305703613296, 'n': 22, 'trace_an': 8}
  • id: 12767218
    {'hecke_orbit_code': 1305703613296, 'n': 23, 'trace_an': 24}
  • id: 12767219
    {'hecke_orbit_code': 1305703613296, 'n': 24, 'trace_an': 0}
  • id: 12767220
    {'hecke_orbit_code': 1305703613296, 'n': 25, 'trace_an': 40}
  • id: 12767221
    {'hecke_orbit_code': 1305703613296, 'n': 26, 'trace_an': -48}
  • id: 12767222
    {'hecke_orbit_code': 1305703613296, 'n': 27, 'trace_an': 0}
  • id: 12767223
    {'hecke_orbit_code': 1305703613296, 'n': 28, 'trace_an': 0}
  • id: 12767224
    {'hecke_orbit_code': 1305703613296, 'n': 29, 'trace_an': 0}
  • id: 12767225
    {'hecke_orbit_code': 1305703613296, 'n': 30, 'trace_an': 0}
  • id: 12767226
    {'hecke_orbit_code': 1305703613296, 'n': 31, 'trace_an': -32}
  • id: 12767227
    {'hecke_orbit_code': 1305703613296, 'n': 32, 'trace_an': 0}
  • id: 12767228
    {'hecke_orbit_code': 1305703613296, 'n': 33, 'trace_an': 0}
  • id: 12767229
    {'hecke_orbit_code': 1305703613296, 'n': 34, 'trace_an': 40}
  • id: 12767230
    {'hecke_orbit_code': 1305703613296, 'n': 35, 'trace_an': 0}
  • id: 12767231
    {'hecke_orbit_code': 1305703613296, 'n': 36, 'trace_an': 32}
  • id: 12767232
    {'hecke_orbit_code': 1305703613296, 'n': 37, 'trace_an': 0}
  • id: 12767233
    {'hecke_orbit_code': 1305703613296, 'n': 38, 'trace_an': -24}
  • id: 12767234
    {'hecke_orbit_code': 1305703613296, 'n': 39, 'trace_an': 0}
  • id: 12767235
    {'hecke_orbit_code': 1305703613296, 'n': 40, 'trace_an': 0}
  • id: 12767236
    {'hecke_orbit_code': 1305703613296, 'n': 41, 'trace_an': 0}
  • id: 12767237
    {'hecke_orbit_code': 1305703613296, 'n': 42, 'trace_an': 0}
  • id: 12767238
    {'hecke_orbit_code': 1305703613296, 'n': 43, 'trace_an': 0}
  • id: 12767239
    {'hecke_orbit_code': 1305703613296, 'n': 44, 'trace_an': 0}
  • id: 12767240
    {'hecke_orbit_code': 1305703613296, 'n': 45, 'trace_an': 0}
  • id: 12767241
    {'hecke_orbit_code': 1305703613296, 'n': 46, 'trace_an': 0}
  • id: 12767242
    {'hecke_orbit_code': 1305703613296, 'n': 47, 'trace_an': 0}
  • id: 12767243
    {'hecke_orbit_code': 1305703613296, 'n': 48, 'trace_an': 0}
  • id: 12767244
    {'hecke_orbit_code': 1305703613296, 'n': 49, 'trace_an': 0}
  • id: 12767245
    {'hecke_orbit_code': 1305703613296, 'n': 50, 'trace_an': 0}
  • id: 12767246
    {'hecke_orbit_code': 1305703613296, 'n': 51, 'trace_an': 0}
  • id: 12767247
    {'hecke_orbit_code': 1305703613296, 'n': 52, 'trace_an': 0}
  • id: 12767248
    {'hecke_orbit_code': 1305703613296, 'n': 53, 'trace_an': 48}
  • id: 12767249
    {'hecke_orbit_code': 1305703613296, 'n': 54, 'trace_an': 0}
  • id: 12767250
    {'hecke_orbit_code': 1305703613296, 'n': 55, 'trace_an': -40}
  • id: 12767251
    {'hecke_orbit_code': 1305703613296, 'n': 56, 'trace_an': 0}
  • id: 12767252
    {'hecke_orbit_code': 1305703613296, 'n': 57, 'trace_an': 0}
  • id: 12767253
    {'hecke_orbit_code': 1305703613296, 'n': 58, 'trace_an': -16}
  • id: 12767254
    {'hecke_orbit_code': 1305703613296, 'n': 59, 'trace_an': -24}
  • id: 12767255
    {'hecke_orbit_code': 1305703613296, 'n': 60, 'trace_an': 0}
  • id: 12767256
    {'hecke_orbit_code': 1305703613296, 'n': 61, 'trace_an': 0}
  • id: 12767257
    {'hecke_orbit_code': 1305703613296, 'n': 62, 'trace_an': 0}
  • id: 12767258
    {'hecke_orbit_code': 1305703613296, 'n': 63, 'trace_an': 0}
  • id: 12767259
    {'hecke_orbit_code': 1305703613296, 'n': 64, 'trace_an': 64}
  • id: 12767260
    {'hecke_orbit_code': 1305703613296, 'n': 65, 'trace_an': 0}
  • id: 12767261
    {'hecke_orbit_code': 1305703613296, 'n': 66, 'trace_an': -8}
  • id: 12767262
    {'hecke_orbit_code': 1305703613296, 'n': 67, 'trace_an': 0}
  • id: 12767263
    {'hecke_orbit_code': 1305703613296, 'n': 68, 'trace_an': 0}
  • id: 12767264
    {'hecke_orbit_code': 1305703613296, 'n': 69, 'trace_an': 24}
  • id: 12767265
    {'hecke_orbit_code': 1305703613296, 'n': 70, 'trace_an': -40}
  • id: 12767266
    {'hecke_orbit_code': 1305703613296, 'n': 71, 'trace_an': 0}
  • id: 12767267
    {'hecke_orbit_code': 1305703613296, 'n': 72, 'trace_an': 0}
  • id: 12767268
    {'hecke_orbit_code': 1305703613296, 'n': 73, 'trace_an': 0}
  • id: 12767269
    {'hecke_orbit_code': 1305703613296, 'n': 74, 'trace_an': 0}
  • id: 12767270
    {'hecke_orbit_code': 1305703613296, 'n': 75, 'trace_an': 0}
  • id: 12767271
    {'hecke_orbit_code': 1305703613296, 'n': 76, 'trace_an': 0}
  • id: 12767272
    {'hecke_orbit_code': 1305703613296, 'n': 77, 'trace_an': 0}
  • id: 12767273
    {'hecke_orbit_code': 1305703613296, 'n': 78, 'trace_an': 0}
  • id: 12767274
    {'hecke_orbit_code': 1305703613296, 'n': 79, 'trace_an': 0}
  • id: 12767275
    {'hecke_orbit_code': 1305703613296, 'n': 80, 'trace_an': 0}
  • id: 12767276
    {'hecke_orbit_code': 1305703613296, 'n': 81, 'trace_an': 8}
  • id: 12767277
    {'hecke_orbit_code': 1305703613296, 'n': 82, 'trace_an': 0}
  • id: 12767278
    {'hecke_orbit_code': 1305703613296, 'n': 83, 'trace_an': 0}
  • id: 12767279
    {'hecke_orbit_code': 1305703613296, 'n': 84, 'trace_an': 0}
  • id: 12767280
    {'hecke_orbit_code': 1305703613296, 'n': 85, 'trace_an': 0}
  • id: 12767281
    {'hecke_orbit_code': 1305703613296, 'n': 86, 'trace_an': 0}
  • id: 12767282
    {'hecke_orbit_code': 1305703613296, 'n': 87, 'trace_an': 0}
  • id: 12767283
    {'hecke_orbit_code': 1305703613296, 'n': 88, 'trace_an': 16}
  • id: 12767284
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  • id: 12767285
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  • id: 12767287
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  • id: 12767288
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  • id: 12767289
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  • id: 12767290
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  • id: 12767291
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  • id: 12767292
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  • id: 12767293
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  • id: 12767294
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  • id: 12767295
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  • id: 12767296
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  • id: 12767297
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  • id: 12767298
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  • id: 12767299
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  • id: 12767300
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  • id: 12767301
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  • id: 12767302
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  • id: 12767303
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  • id: 12767304
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  • id: 12767305
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  • id: 12767306
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  • id: 12767307
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  • id: 12767308
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  • id: 12767309
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  • id: 12767310
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  • id: 12767311
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  • id: 12767312
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  • id: 12767313
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  • id: 12767314
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  • id: 12767315
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  • id: 12767316
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  • id: 12767317
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  • id: 12767318
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  • id: 12767319
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  • id: 12767320
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  • id: 12767321
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  • id: 12767322
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  • id: 12767323
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  • id: 12767324
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  • id: 12767325
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  • id: 12767326
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  • id: 12767327
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  • id: 12767328
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  • id: 12767329
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  • id: 12767330
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  • id: 12767331
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  • id: 12767332
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  • id: 12767333
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  • id: 12767334
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  • id: 12767335
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  • id: 12767336
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  • id: 12767337
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  • id: 12767338
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  • id: 12767339
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  • id: 12767340
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  • id: 12767341
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  • id: 12767342
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  • id: 12767343
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  • id: 12767344
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  • id: 12767345
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  • id: 12767346
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  • id: 12767347
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  • id: 12767348
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  • id: 12767349
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  • id: 12767350
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  • id: 12767351
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  • id: 12767352
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  • id: 12767353
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  • id: 12767354
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  • id: 12767355
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  • id: 12767356
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  • id: 12767357
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  • id: 12767358
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  • id: 12767359
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  • id: 12767360
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  • id: 12767361
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  • id: 12767362
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  • id: 12767363
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  • id: 12767364
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  • id: 12767365
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  • id: 12767366
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  • id: 12767367
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  • id: 12767368
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  • id: 12767369
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  • id: 12767370
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  • id: 12767371
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  • id: 12767372
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  • id: 12767373
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  • id: 12767374
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  • id: 12767375
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  • id: 12767376
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  • id: 12767377
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  • id: 12767378
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  • id: 12767379
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  • id: 12767380
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  • id: 12767381
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  • id: 12767382
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  • id: 12767383
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  • id: 12767384
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  • id: 12767385
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  • id: 12767386
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  • id: 12767387
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  • id: 12767388
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  • id: 12767389
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  • id: 12767390
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  • id: 12767391
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  • id: 12767392
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  • id: 12767393
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  • id: 12767394
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  • id: 12767395
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  • id: 12767396
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  • id: 12767397
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  • id: 12767398
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  • id: 12767399
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  • id: 12767400
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  • id: 12767401
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  • id: 12767402
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  • id: 12767403
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  • id: 12767404
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  • id: 12767405
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  • id: 12767406
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  • id: 12767407
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  • id: 12767408
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  • id: 12767409
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  • id: 12767410
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  • id: 12767411
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  • id: 12767412
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  • id: 12767413
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  • id: 12767414
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  • id: 12767415
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  • id: 12767416
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  • id: 12767417
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  • id: 12767418
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  • id: 12767419
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  • id: 12767420
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  • id: 12767421
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  • id: 12767422
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  • id: 12767423
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  • id: 12767424
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  • id: 12767425
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  • id: 12767426
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  • id: 12767427
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  • id: 12767428
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  • id: 12767429
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  • id: 12767430
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  • id: 12767431
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  • id: 12767432
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  • id: 12767433
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  • id: 12767434
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  • id: 12767435
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  • id: 12767436
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  • id: 12767437
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  • id: 12767438
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  • id: 12767439
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  • id: 12767440
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  • id: 12767441
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  • id: 12767442
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  • id: 12767443
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  • id: 12767444
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  • id: 12767445
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  • id: 12767446
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  • id: 12767447
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  • id: 12767448
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  • id: 12767449
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  • id: 12767450
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  • id: 12767451
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  • id: 12767452
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  • id: 12767453
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