Newform data - 2352.2.h.i

Formats: - HTML - YAML - JSON - 2026-04-13T08:10:09.825624

• 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': 9408, 'analytic_conductor': 18.780814555405147, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 12, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [2352, 2, [1471, 1765, 785, 2257], [1, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 2255, 'dim': 4, 'field_disc': 1936, 'field_disc_factorization': [[2, 4], [11, 2]], 'field_poly': [9, 0, -5, 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': [[5, [11, 0, 1]], [11, [-11, 0, 1]], [13, [4, 1]], [47, [-99, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36029278088857904, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 12, 2, 1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 3, 2, -1, 2, 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': False, 'label': '2352.2.h.i', 'level': 2352, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '336.2.bj.f', 'nf_label': '4.0.1936.1', 'prim_orbit_index': 2, 'qexp_display': 'q+(-\\beta _{1}+\\beta _{2})q^{3}+(-1-2\\beta _{3})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2352.2.h', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1295771297418643562, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.577', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.197', 'prec': 17}, {'__RealLiteral__': 0, 'data': '107.695', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4113.230', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.760', 'prec': 17}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, -154, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -110, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, -110, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 70, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 110, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -34, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 154, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, -34, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -198, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, 198, 0, 0, 0, 308, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -242, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 110, 0, 0, 0, -148, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -198, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 110, 0, 0, 0, -116, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, -188, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 308, 0, 0, 0, 0, 0, 0, 0, 154, 0, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 198, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -110, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 110, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 110, 0, 0, 0, 220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, -34, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 70, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 242, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, 396, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, 180, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 308, 0, 0, 0, 292, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -484, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, 0, 0, -66, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, -220, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, -50, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 154, 0, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 308, 0, 0, 0, 0, 0, 0, 0, 110, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, -148, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1, 0, 0, 0], [0, 0, 0, 0], [0, -1, 1, 0], [0, 0, 0, 0], [-1, 0, 0, -2], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [2, 0, 0, -1], [0, 0, 0, 0], [0, 2, -1, 0], [0, 0, 0, 0], [-4, 0, 0, 0], [0, 0, 0, 0], [0, 1, 5, 0], [0, 0, 0, 0], [1, 0, 0, 2], [0, 0, 0, 0], [0, 0, 7, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 2, -1, 0], [0, 0, 0, 0], [-6, 0, 0, 0], [0, 0, 0, 0], [0, -2, 5, 0], [0, 0, 0, 0], [2, 0, 0, 4], [0, 0, 0, 0], [0, 0, 3, 0], [0, 0, 0, 0], [-5, 0, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-1, 0, 0, 0], [0, 0, 0, 0], [0, 4, -4, 0], [0, 0, 0, 0], [-2, 0, 0, -4], [0, 0, 0, 0], [0, 0, -2, 0], [0, 0, 0, 0], [-8, 0, 0, -5], [0, 0, 0, 0], [0, 6, -3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, -1, -5, 0], [0, 0, 0, 0], [-1, 0, 0, -2], [0, 0, 0, 0], [0, 0, -11, 0], [0, 0, 0, 0], [-7, 0, 0, -7], [0, 0, 0, 0], [0, -2, 1, 0], [0, 0, 0, 0], [3, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [4, 0, 0, 8], [0, 0, 0, 0], [0, 0, 9, 0], [0, 0, 0, 0], [-5, 0, 0, 1], [0, 0, 0, 0], [0, 8, -4, 0], [0, 0, 0, 0], [7, 0, 0, 0], [0, 0, 0, 0], [0, 6, -6, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 9, 0], [0, 0, 0, 0], [1, 0, 0, -5], [0, 0, 0, 0], [0, -8, 4, 0], [0, 0, 0, 0], [11, 0, 0, 0], [0, 0, 0, 0], [0, -2, -10, 0], [0, 0, 0, 0], [1, 0, 0, 2], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-3, 0, 0, -3], [0, 0, 0, 0], [0, 14, -7, 0], [0, 0, 0, 0], [8, 0, 0, 0], [0, 0, 0, 0], [0, 5, -8, 0], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 0], [0, -1, 1, 0], [-1, 0, 0, -2], [0, 0, 0, 0], [0, 2, -1, 0], [-4, 0, 0, 0], [1, 0, 0, 2], [0, 0, 7, 0], [0, 2, -1, 0], [2, 0, 0, 4], [0, 0, 3, 0], [-1, 0, 0, 0], [-2, 0, 0, -4], [0, 0, -2, 0], [0, 6, -3, 0], [-1, 0, 0, -2], [0, -2, 1, 0], [3, 0, 0, 0], [0, 0, 9, 0], [0, 8, -4, 0], [7, 0, 0, 0], [0, 0, 9, 0], [0, -8, 4, 0], [1, 0, 0, 2], [8, 0, 0, 0], [1, 0, 0, 2], [0, 0, -11, 0], [0, -2, 1, 0], [5, 0, 0, 0], [2, 0, 0, 4], [0, 0, -2, 0], [0, 10, -5, 0], [5, 0, 0, 10], [0, 0, 10, 0], [-5, 0, 0, -10], [0, 0, 7, 0], [3, 0, 0, 0], [0, 0, -7, 0], [0, 4, -2, 0], [-3, 0, 0, -6], [0, 2, -1, 0], [18, 0, 0, 0], [0, 6, -3, 0], [-3, 0, 0, 0], [-6, 0, 0, -12], [0, 0, -1, 0], [0, 0, 26, 0], [0, 0, 14, 0], [0, 2, -1, 0], [29, 0, 0, 0], [-5, 0, 0, -10], [0, -4, 2, 0], [19, 0, 0, 0], [0, -12, 6, 0], [7, 0, 0, 14], [0, -2, 1, 0], [-5, 0, 0, -10], [0, 0, 17, 0], [-13, 0, 0, 0], [-2, 0, 0, -4], [0, 0, 15, 0], [-4, 0, 0, -8], [0, 0, -6, 0], [0, 6, -3, 0], [-9, 0, 0, 0], [9, 0, 0, 18], [0, 0, 17, 0], [28, 0, 0, 0], [0, -18, 9, 0], [-8, 0, 0, 0], [-11, 0, 0, -22], [0, 22, -11, 0], [0, 0, 1, 0], [-13, 0, 0, 0], [0, 0, -24, 0], [0, -10, 5, 0], [1, 0, 0, 2], [13, 0, 0, 0], [-5, 0, 0, -10], [-15, 0, 0, 0], [0, 16, -8, 0], [8, 0, 0, 0], [0, -14, 7, 0], [-20, 0, 0, 0], [0, 0, -9, 0], [0, -18, 9, 0], [6, 0, 0, 12], [3, 0, 0, 0], [10, 0, 0, 20], [0, 0, -38, 0], [0, 2, -1, 0], [0, -10, 5, 0], [0, 0, 17, 0], [0, -4, 2, 0], [0, 0, -35, 0], [0, 0, 0, 0], [-5, 0, 0, -10], [7, 0, 0, 14], [0, 0, 19, 0], [37, 0, 0, 0], [0, 0, -40, 0], [1, 0, 0, 2], [0, 6, -3, 0], [9, 0, 0, 18], [0, 0, -5, 0], [35, 0, 0, 0], [0, -16, 8, 0], [-1, 0, 0, -2], [0, 6, -3, 0], [-16, 0, 0, 0], [0, 0, 7, 0], [1, 0, 0, 0], [-2, 0, 0, -4], [0, 0, 25, 0], [0, 0, 18, 0], [11, 0, 0, 22], [0, 0, 2, 0], [0, -2, 1, 0], [1, 0, 0, 2], [0, -16, 8, 0], [39, 0, 0, 0], [40, 0, 0, 0], [3, 0, 0, 6], [0, -14, 7, 0], [0, 0, 33, 0], [4, 0, 0, 8], [-33, 0, 0, 0], [0, -14, 7, 0], [0, 0, 10, 0], [7, 0, 0, 0], [0, 0, 31, 0], [0, 8, -4, 0], [0, 0, -5, 0], [-48, 0, 0, 0], [7, 0, 0, 14], [-16, 0, 0, 0], [5, 0, 0, 10], [0, 0, 45, 0], [-2, 0, 0, -4], [-1, 0, 0, -2], [0, 0, 30, 0], [11, 0, 0, 22], [0, 0, -15, 0], [0, 24, -12, 0], [29, 0, 0, 0], [0, 8, -4, 0], [-20, 0, 0, 0], [-5, 0, 0, -10], [0, 0, -17, 0], [0, -22, 11, 0], [-23, 0, 0, 0], [0, 0, 0, 0], [0, 0, 6, 0], [0, 14, -7, 0], [0, 0, 53, 0], [0, -16, 8, 0], [0, 0, 23, 0], [-7, 0, 0, -14], [2, 0, 0, 0], [3, 0, 0, 6], [0, -6, 3, 0], [6, 0, 0, 12], [0, 0, -2, 0], [0, 10, -5, 0], [1, 0, 0, 2], [0, 34, -17, 0], [0, 0, -43, 0], [-5, 0, 0, 0], [-36, 0, 0, 0], [5, 0, 0, 10], [0, 38, -19, 0], [-8, 0, 0, 0], [0, 2, -1, 0], [35, 0, 0, 0], [0, 0, -57, 0], [-2, 0, 0, -4], [0, 0, -32, 0], [-5, 0, 0, -10], [0, 0, -6, 0], [-27, 0, 0, 0], [0, 0, -27, 0], [0, -8, 4, 0], [34, 0, 0, 0], [-11, 0, 0, -22], [0, -18, 9, 0], [-5, 0, 0, -10], [13, 0, 0, 0], [0, 0, 11, 0], [37, 0, 0, 0], [0, -14, 7, 0], [-37, 0, 0, 0], [0, 32, -16, 0], [0, 0, -29, 0], [3, 0, 0, 6], [0, 26, -13, 0], [-19, 0, 0, -38], [-51, 0, 0, 0], [-39, 0, 0, 0], [14, 0, 0, 28], [0, 26, -13, 0], [9, 0, 0, 18], [0, 0, 2, 0], [-29, 0, 0, 0], [-47, 0, 0, 0], [0, 24, -12, 0], [-17, 0, 0, -34], [0, 0, 41, 0], [0, -10, 5, 0], [-16, 0, 0, -32], [0, 0, -31, 0], [49, 0, 0, 0], [-14, 0, 0, -28], [0, 0, 62, 0], [0, -6, 3, 0], [0, -30, 15, 0], [-27, 0, 0, 0], [0, 0, 23, 0], [1, 0, 0, 2], [0, -10, 5, 0], [-4, 0, 0, -8], [-23, 0, 0, 0], [0, 0, -28, 0], [5, 0, 0, 10], [0, 0, -65, 0], [0, -16, 8, 0], [8, 0, 0, 0], [15, 0, 0, 30], [0, 38, -19, 0], [0, 0, 3, 0], [0, -6, 3, 0], [23, 0, 0, 0], [0, 0, 73, 0], [0, 0, -10, 0], [-3, 0, 0, -6], [0, 0, -50, 0], [0, 22, -11, 0], [-55, 0, 0, 0], [-17, 0, 0, -34], [0, 16, -8, 0], [0, -36, 18, 0], [0, -2, 1, 0], [0, 0, -17, 0], [0, 0, 45, 0], [7, 0, 0, 0], [8, 0, 0, 16], [0, -22, 11, 0], [0, 0, -70, 0], [0, -6, 3, 0], [0, 0, -45, 0], [0, -44, 22, 0], [-20, 0, 0, 0], [-11, 0, 0, -22], [0, -30, 15, 0], [-44, 0, 0, 0], [11, 0, 0, 22], [0, 38, -19, 0], [35, 0, 0, 0], [0, 0, -13, 0], [18, 0, 0, 36], [73, 0, 0, 0], [0, 0, 61, 0], [0, -8, 4, 0], [-15, 0, 0, 0], [24, 0, 0, 0], [9, 0, 0, 18], [0, 0, -69, 0], [-6, 0, 0, -12], [-14, 0, 0, -28], [0, 0, -34, 0], [21, 0, 0, 42], [17, 0, 0, 0], [0, 0, -29, 0], [-55, 0, 0, 0], [0, 0, 31, 0], [52, 0, 0, 0], [0, 0, -43, 0], [0, 34, -17, 0], [-29, 0, 0, 0], [43, 0, 0, 0], [0, 22, -11, 0], [0, -6, 3, 0], [0, 0, -41, 0], [0, 8, -4, 0], [28, 0, 0, 0], [0, 0, -41, 0], [0, -34, 17, 0], [-17, 0, 0, 0], [26, 0, 0, 52], [0, 0, 17, 0], [-18, 0, 0, -36], [-11, 0, 0, -22], [0, -14, 7, 0], [25, 0, 0, 50], [0, 44, -22, 0], [-32, 0, 0, 0], [9, 0, 0, 18], [0, 0, -73, 0], [-26, 0, 0, -52], [0, -38, 19, 0], [0, 0, 16, 0], [-37, 0, 0, 0], [-1, 0, 0, -2], [0, 0, 23, 0]], 'char_orbit_index': 8, 'field_poly': [9, 0, -5, 0, 1], 'hecke_orbit_code': 36029278088857904, 'hecke_ring_character_values': [[1471, [-1, 0, 0, 0]], [1765, [1, 0, 0, 0]], [785, [-1, 0, 0, 0]], [2257, [1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 3, 1], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [3, 0, 0, 1], [0, 2, 3, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [0, -2, 0, 1], [-3, 0, 1, 0]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '2352.2.h.i', 'level': 2352, 'maxp': 1999, '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': 9408, 'analytic_conductor': 18.780814555405147, 'char_conductor': 12, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 2, 'char_parity': 1, 'char_values': [2352, 2, [1471, 1765, 785, 2257], [1, 2, 1, 2]], 'conrey_index': 2255, 'cusp_dim': 400, 'dim': 82, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13, 47], 'hecke_orbit_code': 481069893936, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 8, 8, 8, 8, 16], 'label': '2352.2.h', 'level': 2352, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 496, 'mf_new_dim': 82, 'num_forms': 16, 'prim_orbit_index': 2, 'relative_dim': 82, 'sturm_bound': 896, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [82, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -94, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 138, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -172, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -188, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -218, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 204, 0, 0, 0, 148, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -348, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 130, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 212, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 428, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, -316, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 138, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -276, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -284, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, -382, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -252, 0, 0, 0, 140, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 388, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 166, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 348, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, -172, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 924217
    {'conductor': 7, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 36, 'target_dim': 8, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '336.2.bj.f', 'target_level': 336, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 924218
    {'conductor': 21, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 36, 'target_dim': 8, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '336.2.bj.f', 'target_level': 336, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '21.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 924219
    {'conductor': 28, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 36, 'target_dim': 8, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '336.2.bj.f', 'target_level': 336, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '28.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 924220
    {'conductor': 84, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 36, 'target_dim': 8, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '336.2.bj.f', 'target_level': 336, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '84.n', 'twisting_char_orbit': 14, 'weight': 2}
  • id: 924221
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '2352.2.h.i', 'target_level': 2352, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 924222
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '2352.2.h.i', 'target_level': 2352, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 924223
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '2352.2.h.i', 'target_level': 2352, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 924224
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '2352.2.h.i', 'target_level': 2352, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 924225
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '2352.2.h.j', 'target_level': 2352, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 924226
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '2352.2.h.j', 'target_level': 2352, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 924227
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '2352.2.h.j', 'target_level': 2352, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 924228
    {'conductor': 84, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '2352.2.h.i', 'source_level': 2352, 'target_char_orbit': 8, 'target_dim': 4, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '2352.2.h.j', 'target_level': 2352, 'twist_class_label': '336.2.bj.f', 'twist_class_level': 336, 'twisting_char_label': '84.h', 'twisting_char_orbit': 8, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2597750
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36029278088857904, 'p': 2}
  • id: 2597751
    {'charpoly_factorization': [[[9, 0, -5, 0, 1], 1]], 'hecke_orbit_code': 36029278088857904, 'p': 3}
  • id: 2597752
    {'charpoly_factorization': [[[11, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 5}
  • id: 2597753
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36029278088857904, 'p': 7}
  • id: 2597754
    {'charpoly_factorization': [[[-11, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 11}
  • id: 2597755
    {'charpoly_factorization': [[[4, 1], 4]], 'hecke_orbit_code': 36029278088857904, 'p': 13}
  • id: 2597756
    {'charpoly_factorization': [[[11, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 17}
  • id: 2597757
    {'charpoly_factorization': [[[49, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 19}
  • id: 2597758
    {'charpoly_factorization': [[[-11, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 23}
  • id: 2597759
    {'charpoly_factorization': [[[44, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 29}
  • id: 2597760
    {'charpoly_factorization': [[[9, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 31}
  • id: 2597761
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 36029278088857904, 'p': 37}
  • id: 2597762
    {'charpoly_factorization': [[[44, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 41}
  • id: 2597763
    {'charpoly_factorization': [[[4, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 43}
  • id: 2597764
    {'charpoly_factorization': [[[-99, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 47}
  • id: 2597765
    {'charpoly_factorization': [[[11, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 53}
  • id: 2597766
    {'charpoly_factorization': [[[-11, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 59}
  • id: 2597767
    {'charpoly_factorization': [[[-3, 1], 4]], 'hecke_orbit_code': 36029278088857904, 'p': 61}
  • id: 2597768
    {'charpoly_factorization': [[[81, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 67}
  • id: 2597769
    {'charpoly_factorization': [[[-176, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 71}
  • id: 2597770
    {'charpoly_factorization': [[[-7, 1], 4]], 'hecke_orbit_code': 36029278088857904, 'p': 73}
  • id: 2597771
    {'charpoly_factorization': [[[81, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 79}
  • id: 2597772
    {'charpoly_factorization': [[[-176, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 83}
  • id: 2597773
    {'charpoly_factorization': [[[11, 0, 1], 2]], 'hecke_orbit_code': 36029278088857904, 'p': 89}
  • id: 2597774
    {'charpoly_factorization': [[[-8, 1], 4]], 'hecke_orbit_code': 36029278088857904, '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': 8, 'hecke_orbit': 9, 'label': '2352.2.h.i', 'level': 2352, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 52135327
    {'hecke_orbit_code': 36029278088857904, 'n': 1, 'trace_an': 4}
  • id: 52135328
    {'hecke_orbit_code': 36029278088857904, 'n': 2, 'trace_an': 0}
  • id: 52135329
    {'hecke_orbit_code': 36029278088857904, 'n': 3, 'trace_an': 0}
  • id: 52135330
    {'hecke_orbit_code': 36029278088857904, 'n': 4, 'trace_an': 0}
  • id: 52135331
    {'hecke_orbit_code': 36029278088857904, 'n': 5, 'trace_an': 0}
  • id: 52135332
    {'hecke_orbit_code': 36029278088857904, 'n': 6, 'trace_an': 0}
  • id: 52135333
    {'hecke_orbit_code': 36029278088857904, 'n': 7, 'trace_an': 0}
  • id: 52135334
    {'hecke_orbit_code': 36029278088857904, 'n': 8, 'trace_an': 0}
  • id: 52135335
    {'hecke_orbit_code': 36029278088857904, 'n': 9, 'trace_an': 10}
  • id: 52135336
    {'hecke_orbit_code': 36029278088857904, 'n': 10, 'trace_an': 0}
  • id: 52135337
    {'hecke_orbit_code': 36029278088857904, 'n': 11, 'trace_an': 0}
  • id: 52135338
    {'hecke_orbit_code': 36029278088857904, 'n': 12, 'trace_an': 0}
  • id: 52135339
    {'hecke_orbit_code': 36029278088857904, 'n': 13, 'trace_an': -16}
  • id: 52135340
    {'hecke_orbit_code': 36029278088857904, 'n': 14, 'trace_an': 0}
  • id: 52135341
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  • id: 52135342
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  • id: 52135343
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  • id: 52135344
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  • id: 52135345
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  • id: 52135346
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  • id: 52135347
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  • id: 52135348
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  • id: 52135349
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  • id: 52135350
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  • id: 52135351
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  • id: 52135352
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  • id: 52135353
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  • id: 52135354
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  • id: 52135355
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  • id: 52135356
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  • id: 52135357
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  • id: 52135358
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  • id: 52135359
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  • id: 52135360
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  • id: 52135361
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  • id: 52135362
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  • id: 52135363
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  • id: 52135364
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  • id: 52135365
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  • id: 52135366
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  • id: 52135367
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  • id: 52135368
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  • id: 52135369
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  • id: 52135370
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  • id: 52135371
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  • id: 52135372
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  • id: 52135373
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  • id: 52135374
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  • id: 52135375
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  • id: 52135376
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  • id: 52135377
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  • id: 52135378
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  • id: 52135379
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  • id: 52135380
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  • id: 52135381
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  • id: 52135382
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  • id: 52135383
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  • id: 52135384
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  • id: 52135385
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  • id: 52135386
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  • id: 52135387
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  • id: 52135388
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  • id: 52135389
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  • id: 52135390
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  • id: 52135391
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  • id: 52135392
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  • id: 52135393
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  • id: 52135394
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  • id: 52135395
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  • id: 52135396
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  • id: 52135397
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  • id: 52135398
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  • id: 52135399
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  • id: 52135400
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  • id: 52135401
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  • id: 52135402
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  • id: 52135403
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  • id: 52135404
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  • id: 52135405
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  • id: 52135406
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  • id: 52135407
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  • id: 52135408
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  • id: 52135409
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  • id: 52135410
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  • id: 52135411
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  • id: 52135412
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  • id: 52135413
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  • id: 52135414
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  • id: 52135415
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  • id: 52135416
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  • id: 52135417
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  • id: 52135418
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  • id: 52135419
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  • id: 52135420
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  • id: 52135421
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  • id: 52135422
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  • id: 52135423
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  • id: 52135424
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  • id: 52135425
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  • id: 52135426
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  • id: 52135427
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  • id: 52135428
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  • id: 52135429
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  • id: 52135430
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  • id: 52135431
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  • id: 52135432
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  • id: 52135433
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  • id: 52135434
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  • id: 52135435
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  • id: 52135436
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  • id: 52135437
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  • id: 52135438
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  • id: 52135439
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  • id: 52135440
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  • id: 52135441
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  • id: 52135442
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  • id: 52135443
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  • id: 52135444
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  • id: 52135445
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  • id: 52135446
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  • id: 52135447
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  • id: 52135448
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  • id: 52135449
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  • id: 52135450
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  • id: 52135451
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  • id: 52135452
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  • id: 52135453
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  • id: 52135454
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  • id: 52135455
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  • id: 52135456
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  • id: 52135457
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  • id: 52135458
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  • id: 52135459
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  • id: 52135460
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  • id: 52135461
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  • id: 52135462
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  • id: 52135463
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  • id: 52135464
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  • id: 52135465
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  • id: 52135466
    {'hecke_orbit_code': 36029278088857904, 'n': 277, 'trace_an': -52}
  • id: 52135467
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  • id: 52135468
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  • id: 52135469
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  • id: 52135470
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  • id: 52135471
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  • id: 52135472
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  • id: 52135473
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  • id: 52135474
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  • id: 52135475
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  • id: 52135476
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  • id: 52135477
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  • id: 52135478
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  • id: 52135479
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  • id: 52135480
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  • id: 52135481
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  • id: 52135482
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  • id: 52135483
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  • id: 52135484
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  • id: 52135485
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  • id: 52135486
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  • id: 52135487
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  • id: 52135488
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  • id: 52135489
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  • id: 52135490
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  • id: 52135491
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  • id: 52135492
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  • id: 52135493
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  • id: 52135494
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  • id: 52135495
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  • id: 52135496
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  • id: 52135497
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  • id: 52135498
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  • id: 52135499
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  • id: 52135500
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  • id: 52135501
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  • id: 52135502
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  • id: 52135503
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  • id: 52135504
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  • id: 52135505
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  • id: 52135506
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  • id: 52135507
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  • id: 52135508
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  • id: 52135509
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  • id: 52135510
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  • id: 52135511
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  • id: 52135512
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  • id: 52135513
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  • id: 52135514
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  • id: 52135515
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  • id: 52135516
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  • id: 52135517
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  • id: 52135518
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  • id: 52135519
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  • id: 52135520
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  • id: 52135521
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  • id: 52135522
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  • id: 52135523
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  • id: 52135524
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  • id: 52135525
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  • id: 52135526
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  • id: 52135527
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  • id: 52135528
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  • id: 52135529
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  • id: 52135530
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  • id: 52135531
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  • id: 52135532
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  • id: 52135533
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  • id: 52135534
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  • id: 52135535
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