Newform data - 1456.2.k.c

Formats: - HTML - YAML - JSON - 2025-12-22T02:37:55.202497

• 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': 5824, 'analytic_conductor': 11.626218534298424, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 13, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 2, 'char_parity': 1, 'char_values': [1456, 2, [911, 1093, 1249, 561], [2, 2, 2, 1]], 'cm_discs': [], 'conrey_index': 337, 'dim': 6, 'field_disc': -350464, 'field_disc_factorization': [[-1, 1], [2, 8], [37, 2]], 'field_poly': [2, -4, 4, 2, 2, -2, 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, [-2, -4, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007886483064240, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 13, 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': '1456.2.k.c', 'level': 1456, '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, 7, 13], 'level_radical': 182, 'minimal_twist': '91.2.c.a', 'nf_label': '6.0.350464.1', 'prim_orbit_index': 2, 'qexp_display': 'q-\\beta _{1}q^{3}+(-\\beta _{3}-\\beta _{5})q^{5}+\\beta _{3}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1456.2.k', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1330806701255915069, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.076', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.546', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.064', 'prec': 17}, {'__RealLiteral__': 0, 'data': '169.930', 'prec': 24}, {'__RealLiteral__': 0, 'data': '299.070', 'prec': 24}, {'__RealLiteral__': 0, 'data': '7636.064', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [6, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 8, 0, 0, 0, -8, 0, 0, 0, 0, 0, -6, 0, 8, 0, 12, 0, -14, 0, 0, 0, 0, 0, 6, 0, 0, 0, 8, 0, 0, 0, 26, 0, 0, 0, 0, 0, -6, 0, -8, 0, 2, 0, -12, 0, 0, 0, 0, 0, 28, 0, 0, 0, -6, 0, 0, 0, -4, 0, 0, 0, 0, 0, -44, 0, 16, 0, -26, 0, -26, 0, 0, 0, 0, 0, 40, 0, 0, 0, 2, 0, 0, 0, -58, 0, 0, 0, 0, 0, -16, 0, 48, 0, 16, 0, 16, 0, 0, 0, 0, 0, -10, 0, 0, 0, 28, 0, 0, 0, 10, 0, 0, 0, 0, 0, -16, 0, 24, 0, -8, 0, -2, 0, 0, 0, 0, 0, -32, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 46, 0, 4, 0, 20, 0, 0, 0, 0, 0, -48, 0, 0, 0, 50, 0, 0, 0, -64, 0, 0, 0, 0, 0, 10, 0, -12, 0, 40, 0, 36, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 12, 0, -38, 0, 8, 0, -2, 0, 0, 0, 0, 0, -22, 0, 0, 0, -64, 0, 0, 0, -48, 0, 0, 0, 0, 0, -4, 0, 62, 0, -10, 0, 72, 0, 0, 0, 0, 0, -64, 0, 0, 0, -2, 0, 0, 0, 32, 0, 0, 0, 0, 0, 76, 0, -24, 0, 10, 0, -6, 0, 0, 0, 0, 0, -4, 0, 0, 0, 4, 0, 0, 0, 18, 0, 0, 0, 0, 0, 72, 0, -112, 0, 4, 0, -38, 0, 0, 0, 0, 0, -48, 0, 0, 0, -84, 0, 0, 0, -88, 0, 0, 0, 0, 0, 56, 0, -36, 0, -100, 0, 10, 0, 0, 0, 0, 0, 108, 0, 0, 0, -36, 0, 0, 0, 38, 0, 0, 0, 0, 0, 8, 0, -22, 0, -20, 0, 28, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -124, 0, 36, 0, 58, 0, 48, 0, 0, 0, 0, 0, -100, 0, 0, 0, -48, 0, 0, 0, 28, 0, 0, 0, 0, 0, 34, 0, 28, 0, 84, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 38, 0, 0, 0, 24, 0, 0, 0, 0, 0, 4, 0, -62, 0, 0, 0, 4, 0, 0, 0, 0, 0, 36, 0, 0, 0, -24, 0, 0, 0, 44, 0, 0, 0, 0, 0, -36, 0, 2, 0, -34, 0, 50, 0, 0, 0, 0, 0, -64, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 72, 0, 24, 0, 32, 0, 0, 0, 0, 0, 2, 0, 0, 0, 48, 0, 0, 0, -26, 0, 0, 0, 0, 0, -104, 0, 48, 0, -32, 0, -28, 0, 0, 0, 0, 0, -108, 0, 0, 0, 24, 0, 0, 0, 18, 0, 0, 0, 0, 0, -96, 0, -16, 0, -40, 0, 4, 0, 0, 0, 0, 0, -20, 0, 0, 0, 52, 0, 0, 0, -96, 0, 0, 0, 0, 0, 56, 0, -68, 0, -6, 0, -4, 0, 0, 0, 0, 0, 48, 0, 0, 0, 96, 0, 0, 0, -20, 0, 0, 0, 0, 0, -18, 0, -158, 0, -44, 0, 40, 0, 0, 0, 0, 0, -2, 0, 0, 0, 2, 0, 0, 0, 58, 0, 0, 0, 0, 0, -16, 0, 32, 0, 6, 0, 48, 0, 0, 0, 0, 0, -84, 0, 0, 0, -18, 0, 0, 0, -32, 0, 0, 0, 0, 0, -4, 0, -6, 0, 34, 0, -184, 0, 0, 0, 0, 0, 12, 0, 0, 0, -8, 0, 0, 0, 98, 0, 0, 0, 0, 0, 168, 0, -12, 0, -24, 0, -12, 0, 0, 0, 0, 0, 82, 0, 0, 0, -12, 0, 0, 0, 78, 0, 0, 0, 0, 0, 18, 0, 104, 0, 48, 0, 30, 0, 0, 0, 0, 0, 116, 0, 0, 0, -12, 0, 0, 0, 4, 0, 0, 0, 0, 0, 144, 0, -134, 0, 0, 0, -40, 0, 0, 0, 0, 0, 38, 0, 0, 0, -40, 0, 0, 0, 76, 0, 0, 0, 0, 0, -104, 0, 8, 0, 22, 0, -96, 0, 0, 0, 0, 0, -72, 0, 0, 0, 4, 0, 0, 0, 80, 0, 0, 0, 0, 0, -70, 0, -48, 0, 132, 0, -58, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, -12, 0, 12, 0, 0, 0, -108, 0, 0, 0, 0, 0, -40, 0, 0, 0, 8, 0, 0, 0, 136, 0, 0, 0, 0, 0, -104, 0, -10, 0, -160, 0, -42, 0, 0, 0, 0, 0, 8, 0, 0, 0, -10, 0, 0, 0, 40, 0, 0, 0, 0, 0, 132, 0, 16, 0, 8, 0, 66, 0, 0, 0, 0, 0, 8, 0, 0, 0, -16, 0, 0, 0, -24, 0, 0, 0, 0, 0, -114, 0, 148, 0, 32, 0, -16, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, -44, 0, -96, 0, -100, 0, 0, 0, 0, 0, 0, 0, 130, 0, 0, 0, 16, 0, 0, 0, 12, 0, 0, 0, 0, 0, -30, 0, -36, 0, -46, 0, -28, 0, 0, 0, 0, 0, -16, 0, 0, 0, 84, 0, 0, 0, -48, 0, 0, 0, 0, 0, 216, 0, 40, 0, -136, 0, 24, 0, 0, 0, 0, 0, -20, 0, 0, 0, 50, 0, 0, 0, 26, 0, 0, 0, 0, 0, -72, 0, 20, 0, 88, 0, 104, 0, 0, 0, 0, 0, 220, 0, 0, 0, -120, 0, 0, 0, -32, 0, 0, 0, 0, 0, 28, 0, -28, 0, -106, 0, -32, 0, 0, 0, 0, 0, -16, 0, 0, 0, 44, 0, 0, 0, -8, 0, 0, 0, 0, 0, 60, 0, 104, 0, 26, 0, -98, 0, 0, 0, 0, 0, 88, 0, 0, 0, -48, 0, 0, 0, 62, 0, 0, 0, 0, 0, -8, 0, 176, 0, 56, 0, 20, 0, 0, 0, 0, 0, 156, 0, 0, 0, -172, 0, 0, 0, -40, 0, 0, 0, 0, 0, 32, 0, 104, 0, -192, 0, -120, 0, 0, 0, 0, 0, -56, 0, 0, 0, 34, 0, 0, 0, -212, 0, 0, 0, 0, 0, -38, 0, 40, 0, 108, 0, 48, 0, 0, 0, 0, 0, -104, 0, 0, 0, 8, 0, 0, 0, -244, 0, 0, 0, 0, 0, 58, 0, -154, 0, -36, 0, -176, 0, 0, 0, 0, 0, 6, 0, 0, 0, 136, 0, 0, 0, 104, 0, 0, 0, 0, 0, 40, 0, 88, 0, -60, 0, -180, 0, 0, 0, 0, 0, -160, 0, 0, 0, 50, 0, 0, 0, 4, 0, 0, 0, 0, 0, 132, 0, -22, 0, -18, 0, -16, 0, 0, 0, 0, 0, -96, 0, 0, 0, -40, 0, 0, 0, -10, 0, 0, 0, 0, 0, -52, 0, -164, 0, 58, 0, -16, 0, 0, 0, 0, 0, -110, 0, 0, 0, -16, 0, 0, 0, 34, 0, 0, 0, 0, 0, 30, 0, 60, 0, -136, 0, -8, 0, 0, 0, 0, 0, -156, 0, 0, 0, -232, 0, 0, 0, 44, 0, 0, 0, 0, 0, -156, 0, -50, 0, -128, 0, 60, 0, 0, 0, 0, 0, 136, 0, 0, 0, 102, 0, 0, 0, 24, 0, 0, 0, 0, 0, -108, 0, 128, 0, 120, 0, 248, 0, 0, 0, 0, 0, 78, 0, 0, 0, 4, 0, 0, 0, -92, 0, 0, 0, 0, 0, 214, 0, 8, 0, 96, 0, 16, 0, 0, 0, 0, 0, -44, 0, 0, 0, -16, 0, 0, 0, -80, 0, 0, 0, 0, 0, -12, 0, -40, 0, 182, 0, -28, 0, 0, 0, 0, 0, 56, 0, 0, 0, -56, 0, 0, 0, 48, 0, 0, 0, 0, 0, 124, 0, -16, 0, 104, 0, 120, 0, 0, 0, 0, 0, 24, 0, 0, 0, 60, 0, 0, 0, 6, 0, 0, 0, 0, 0, 56, 0, 172, 0, 4, 0, -82, 0, 0, 0, 0, 0, 254, 0, 0, 0, 100, 0, 0, 0, 54, 0, 0, 0, 0, 0, -64, 0, 36, 0, 104, 0, -32, 0, 0, 0, 0, 0, 72, 0, 0, 0, -56, 0, 0, 0, 14, 0, 0, 0, 0, 0, 88, 0, -10, 0, -36, 0, 84, 0, 0, 0, 0, 0, -166, 0, 0, 0, -24, 0, 0, 0, -48, 0, 0, 0, 0, 0, -84, 0, -184, 0, 122, 0, 156, 0, 0, 0, 0, 0, 62, 0, 0, 0, -196, 0, 0, 0, -44, 0, 0, 0, 0, 0, -136, 0, -196, 0, 24, 0, 72, 0, 0, 0, 0, 0, -52, 0, 0, 0, 6, 0, 0, 0, -266, 0, 0, 0, 0, 0, 50, 0, 144, 0, 136, 0, -112, 0, 0, 0, 0, 0, -144, 0, 0, 0, 26, 0, 0, 0, -48, 0, 0, 0, 0, 0, 12, 0, -76, 0, -10, 0, 70, 0, 0, 0, 0, 0, -52, 0, 0, 0, 20, 0, 0, 0, 104, 0, 0, 0, 0, 0, 108, 0, -4, 0, 30, 0, 216, 0, 0, 0, 0, 0, -224, 0, 0, 0, -92, 0, 0, 0, -290, 0, 0, 0, 0, 0, -226, 0, -84, 0, -56, 0, -64, 0, 0, 0, 0, 0, -92, 0, 0, 0, -56, 0, 0, 0, 80, 0, 0, 0, 0, 0, -308, 0, -174, 0, -196, 0, 232, 0, 0, 0, 0, 0, 138, 0, 0, 0, -38, 0, 0, 0, 120, 0, 0, 0, 0, 0, -104, 0, -40, 0, 8, 0, 92, 0, 0, 0, 0, 0, -24, 0, 0, 0, 116, 0, 0, 0, 132, 0, 0, 0, 0, 0, 96, 0, 122, 0, 24, 0, 122, 0, 0, 0, 0, 0, 12, 0, 0, 0, 88, 0, 0, 0, 30, 0, 0, 0, 0, 0, -66, 0, -72, 0, 126, 0, 36, 0, 0, 0, 0, 0, 180, 0, 0, 0, -208, 0, 0, 0, -176, 0, 0, 0, 0, 0, -36, 0, -6, 0, 16, 0, -72, 0, 0, 0, 0, 0, 124, 0, 0, 0, 52, 0, 0, 0, 124, 0, 0, 0, 0, 0, 168, 0, 192, 0, 64, 0, 146, 0, 0, 0, 0, 0, 56, 0, 0, 0, -12, 0, 0, 0, -194, 0, 0, 0, 0, 0, -204, 0, 224, 0, 84, 0, -52, 0, 0, 0, 0, 0, -64, 0, 0, 0, 72, 0, 0, 0, -60, 0, 0, 0, 0, 0, 88, 0, -168, 0, -136, 0, -80, 0, 0, 0, 0, 0, -168, 0, 0, 0, 56, 0, 0, 0, -196, 0, 0, 0, 0, 0, 82, 0, -100, 0, 176, 0, -80, 0, 0, 0, 0, 0, 56, 0, 0, 0, -20, 0, 0, 0, -88, 0, 0, 0, 0, 0, -86, 0, -28, 0, 312, 0, -60, 0, 0, 0, 0, 0, 22, 0, 0, 0, 96, 0, 0, 0, 218, 0, 0, 0, 0, 0, -44, 0, 2, 0, 122, 0, -188, 0, 0, 0, 0, 0, -116, 0, 0, 0, 14, 0, 0, 0, 152, 0, 0, 0, 0, 0, 176, 0, -64, 0, 22, 0, -22, 0, 0, 0, 0, 0, -104, 0, 0, 0, -8, 0, 0, 0, 184, 0, 0, 0, 0, 0, 196, 0, -56, 0, 20, 0, -4, 0, 0, 0, 0, 0, -82, 0, 0, 0, -68, 0, 0, 0, -88, 0, 0, 0, 0, 0, -128, 0, 148, 0, -48, 0, 14, 0, 0, 0, 0, 0, -224, 0, 0, 0, 24, 0, 0, 0, 36, 0, 0, 0, 0, 0, -168, 0, -208, 0, -340, 0, -172, 0, 0, 0, 0, 0, 122, 0, 0, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 18, 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, 0, 0, 0], [0, -1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, -1, 0, -1], [0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [0, -1, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, -3, 1, 0], [0, 0, 0, 0, 0, 0], [2, -1, 2, 0, -1, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, -3, 1, -2], [0, 0, 0, 0, 0, 0], [-2, 1, -2, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, -4], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0], [-2, 1, -3, 0, 0, 0], [0, 0, 0, 0, 0, 0], [1, 3, -1, 0, 0, 0], [0, 0, 0, 0, 0, 0], [2, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [-3, -2, -2, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 3, 2, 1], [0, 0, 0, 0, 0, 0], [0, 0, 0, 1, -1, -3], [0, 0, 0, 0, 0, 0], [1, -1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 3, 3, 0], [0, 0, 0, 0, 0, 0], [1, -3, -1, -1, 1, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, -2, 4, 0], [0, 0, 0, 0, 0, 0], [5, -2, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, -2, 1, -2], [0, 0, 0, 0, 0, 0], [0, 0, 0, -6, -1, 2], [0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [-1, 3, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, -1, -1, 0, 0, 0], [0, 0, 0, 0, 0, 0], [-2, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, -11, 3, -4], [0, 0, 0, 0, 0, 0], [0, 0, 0, -1, 1, -3], [0, 0, 0, 0, 0, 0], [4, -2, -2, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, -1, 1], [0, 0, 0, 0, 0, 0], [-1, 0, 0, -3, 1, -4], [0, 0, 0, 0, 0, 0], [0, 0, 0, -4, 0, 2], [0, 0, 0, 0, 0, 0], [0, 3, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 3, 5, 2], [0, 0, 0, 0, 0, 0], [0, 0, 0, -4, 3, 4], [0, 0, 0, 0, 0, 0], [-8, 2, -2, 0, 0, 0], [0, 0, 0, 0, 0, 0], [3, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0], [-5, -4, -2, 0, 0, 0], [0, 0, 0, 0, 0, 0], [-6, 3, -5, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, -1, 4, -5], [0, 0, 0, 0, 0, 0], [0, 0, 0, 3, -1, 4], [0, 0, 0, 0, 0, 0], [8, 1, 4, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 3, 2], [0, 0, 0, 0, 0, 0], [0, 0, -1, 2, -2, 1], [0, 0, 0, 0, 0, 0], [0, 0, 0, 5, -3, 4], [0, 0, 0, 0, 0, 0], [-11, 8, -4, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, -8, 9, -2], [0, 0, 0, 0, 0, 0], [0, 0, 0, -1, 1, -2], [0, 0, 0, 0, 0, 0]], 'ap': [[0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0], [0, 0, 0, -1, 0, -1], [0, 0, 0, 1, 0, 0], [0, 0, 0, -3, 1, 0], [2, -1, 2, 0, -1, 0], [-2, 1, -2, 0, 0, 0], [0, 0, 0, 0, 1, -4], [-2, 1, -3, 0, 0, 0], [-3, -2, -2, 0, 0, 0], [0, 0, 0, 3, 2, 1], [0, 0, 0, 3, 3, 0], [0, 0, 0, -2, 4, 0], [5, -2, 2, 0, 0, 0], [0, 0, 0, -6, -1, 2], [0, -1, -1, 0, 0, 0], [0, 0, 0, -1, 1, -3], [4, -2, -2, 0, 0, 0], [0, 0, 0, -4, 0, 2], [0, 0, 0, 3, 5, 2], [0, 0, 0, -4, 3, 4], [-5, -4, -2, 0, 0, 0], [0, 0, 0, -1, 4, -5], [0, 0, 0, 0, 3, 2], [0, 0, 0, -8, 9, -2], [-2, 5, 2, 0, 0, 0], [6, -2, -6, 0, 0, 0], [3, -7, 1, 0, 0, 0], [0, 0, 0, -3, -3, -2], [-4, 3, -7, 0, 0, 0], [-1, -3, 5, 0, 0, 0], [-4, 2, -8, 0, 0, 0], [0, 0, 0, 11, 3, 2], [-4, -1, 4, 0, 0, 0], [0, 0, 0, -1, -7, 8], [0, 0, 0, 7, -1, 6], [2, -3, 4, 0, 0, 0], [0, 0, 0, -8, 4, 2], [0, 0, 0, 0, 11, 0], [-8, -1, 8, 0, 0, 0], [-1, 8, -8, 0, 0, 0], [0, -5, 6, 0, 0, 0], [13, 3, -1, 0, 0, 0], [0, 0, 0, 6, -10, 8], [0, 0, 0, 2, -8, 4], [-6, -3, 4, 0, 0, 0], [0, -1, 1, 0, 0, 0], [0, 0, 0, -3, -6, 7], [0, 0, 0, 10, 2, 2], [0, 0, 0, -11, -7, 3], [9, -8, -4, 0, 0, 0], [0, 0, 0, 0, -6, -8], [0, 0, 0, 11, 0, -11], [8, 1, 8, 0, 0, 0], [12, -5, -2, 0, 0, 0], [-3, 4, -6, 0, 0, 0], [2, 8, 8, 0, 0, 0], [0, 0, 0, 14, -10, 6], [-1, 2, -12, 0, 0, 0], [0, 0, 0, -7, 3, 8], [14, 0, 6, 0, 0, 0], [0, 0, 0, 20, 1, -4], [0, 0, 0, -3, 4, -1], [-4, -15, 6, 0, 0, 0], [-20, 1, -10, 0, 0, 0], [0, 0, 0, 4, -2, -6], [0, 0, 0, 12, -6, 6], [-2, -5, 5, 0, 0, 0], [-10, 0, -14, 0, 0, 0], [0, 0, 0, 8, -5, 8], [0, 0, 0, -19, 9, -9], [0, 0, 0, -7, -5, -4], [10, 5, 6, 0, 0, 0], [-15, 1, 5, 0, 0, 0], [0, 0, 0, -7, -1, 14], [0, 0, 0, 24, -4, 4], [3, -7, -5, 0, 0, 0], [0, 0, 0, 20, -5, 2], [0, 0, 0, 2, 4, -4], [0, 0, 0, 22, -1, 2], [4, -11, 10, 0, 0, 0], [0, 0, 0, 1, 9, 2], [0, 0, 0, -4, -6, 2], [12, -4, 14, 0, 0, 0], [-2, 2, 12, 0, 0, 0], [-2, -1, 11, 0, 0, 0], [0, 0, 0, 0, 12, -10], [0, 0, 0, -17, 1, 6], [0, 0, 0, -22, 0, 2], [0, 0, 0, -23, 9, 2], [8, 7, -12, 0, 0, 0], [0, 0, 0, 13, -10, 1], [0, 0, 0, -18, 2, 0], [-15, 1, 7, 0, 0, 0], [0, 0, 0, 3, 13, -8], [-16, -10, 6, 0, 0, 0], [0, 0, 0, -10, -3, -10], [-6, -14, 2, 0, 0, 0], [-2, 16, -8, 0, 0, 0], [0, 0, 0, -27, 3, -2], [-2, -5, -3, 0, 0, 0], [0, 0, 0, 18, 2, -2], [-8, 8, -14, 0, 0, 0], [-7, 14, -12, 0, 0, 0], [-30, 5, -11, 0, 0, 0], [0, 0, 0, -12, -10, -6], [0, 0, 0, -9, 16, -1], [0, 0, 0, 11, 14, 1], [-3, 8, -12, 0, 0, 0], [6, 12, -6, 0, 0, 0], [-14, -11, 0, 0, 0, 0], [0, 0, 0, 12, -16, 0], [0, 0, 0, -16, 12, -8], [0, 0, 0, 10, -18, -2], [0, 0, 0, 16, 2, -2], [13, 6, -10, 0, 0, 0], [0, 0, 0, -18, 22, -12], [26, 7, -6, 0, 0, 0], [-2, 14, 0, 0, 0, 0], [14, 21, 1, 0, 0, 0], [0, 0, 0, -1, 20, -9], [4, 11, 3, 0, 0, 0], [8, 5, 0, 0, 0, 0], [0, 0, 0, 14, -8, 6], [0, 0, 0, -18, -15, -2], [-23, -4, -2, 0, 0, 0], [0, 0, 0, -7, 1, -20], [14, -13, 4, 0, 0, 0], [0, 10, -4, 0, 0, 0], [0, 0, 0, 5, 0, -11], [0, 0, 0, 1, 1, 0], [0, 0, 0, 0, 2, -10], [-15, 2, -10, 0, 0, 0], [-13, 4, -10, 0, 0, 0], [0, 0, 0, -15, 8, 1], [0, 0, 0, -23, -6, 7], [0, 0, 0, -14, 0, 8], [0, 0, 0, -9, 16, -1], [18, -8, -14, 0, 0, 0], [-7, -2, 0, 0, 0, 0], [0, 0, 0, 0, -20, -10], [0, 0, 0, -8, 14, 16], [5, -11, -5, 0, 0, 0], [0, 0, 0, -20, 4, -14], [24, 1, 6, 0, 0, 0], [0, 0, 0, 22, 6, -16], [0, 0, 0, -15, 4, 7], [24, -8, -2, 0, 0, 0], [6, 0, 2, 0, 0, 0], [0, 0, 0, -20, 0, 16], [0, 0, 0, -9, 19, -16], [-2, -22, 16, 0, 0, 0], [-13, -31, 9, 0, 0, 0], [-2, 4, -6, 0, 0, 0], [-8, 7, -9, 0, 0, 0], [-9, 10, -4, 0, 0, 0], [-10, 16, -22, 0, 0, 0], [0, 0, 0, 11, 4, -7], [-24, -5, -4, 0, 0, 0], [0, 0, 0, 41, -4, 1], [0, 0, 0, 16, 14, 0], [-1, -12, -16, 0, 0, 0], [0, 0, 0, 1, 1, 24], [40, -8, 10, 0, 0, 0], [0, 0, 0, -45, -3, 6], [0, 0, 0, 0, 3, 12], [3, -5, 25, 0, 0, 0], [-10, 8, -22, 0, 0, 0], [0, 0, 0, 19, -31, 10], [18, 3, 2, 0, 0, 0], [0, 0, 0, -15, -13, 8], [0, 0, 0, 14, 0, 6], [8, 1, -7, 0, 0, 0], [0, 0, 0, 11, -3, 22], [32, -2, 8, 0, 0, 0], [26, 6, 0, 0, 0, 0], [0, 0, 0, 6, 14, -8], [0, 0, 0, -8, -16, -14], [-2, 3, -22, 0, 0, 0], [-26, 13, -18, 0, 0, 0], [0, 0, 0, -8, -22, -8], [6, 9, -2, 0, 0, 0], [15, -17, -9, 0, 0, 0], [0, 0, 0, 2, -3, 14], [0, 0, 0, 27, -3, -2], [-38, 3, 8, 0, 0, 0], [-22, 7, 11, 0, 0, 0], [0, 0, 0, -13, 6, -9], [0, 0, 0, 8, -10, 8], [0, 0, 0, 12, -9, 10], [-24, -27, 8, 0, 0, 0], [0, 0, 0, 20, -12, 2], [-2, 1, 3, 0, 0, 0], [0, 0, 0, 27, -6, 11], [0, 13, 5, 0, 0, 0], [-12, 19, -10, 0, 0, 0], [0, 0, 0, 15, -3, 4], [11, 14, 16, 0, 0, 0], [0, 0, 0, 17, -2, -9], [-18, 14, 14, 0, 0, 0], [0, 0, 0, -27, 5, -2], [-28, -13, -6, 0, 0, 0], [0, 0, 0, -36, 29, -14], [-20, -12, 4, 0, 0, 0], [0, 0, 0, 2, -1, 0], [42, -12, 2, 0, 0, 0], [0, 0, 0, 17, -20, 7], [21, -22, 24, 0, 0, 0], [0, 0, 0, -37, -9, 0], [-16, 2, -2, 0, 0, 0], [37, -8, 4, 0, 0, 0], [24, 5, 24, 0, 0, 0], [8, 4, 16, 0, 0, 0], [0, 0, 0, 12, -8, 10], [0, 0, 0, -15, 2, 13], [0, 0, 0, 35, -26, 3], [27, 10, -10, 0, 0, 0], [4, 2, 0, 0, 0, 0], [0, 0, 0, 28, -4, 2], [0, 0, 0, 5, -9, -24], [-18, -1, -13, 0, 0, 0], [0, 0, 0, -1, -11, -7], [0, 0, 0, -32, -6, 16], [0, 0, 0, 8, -12, 4], [22, -6, 22, 0, 0, 0], [-6, -17, -13, 0, 0, 0], [16, 4, 6, 0, 0, 0], [-21, 4, 20, 0, 0, 0], [-8, 15, 0, 0, 0, 0], [0, 0, 0, 17, 11, -30], [-13, -21, 3, 0, 0, 0], [30, -11, 12, 0, 0, 0], [0, 0, 0, 12, -18, 2], [-31, 7, 5, 0, 0, 0], [6, 2, 6, 0, 0, 0], [0, 0, 0, -28, 15, -14], [0, 0, 0, 22, -4, 6], [0, 0, 0, 42, -4, 4], [-46, -11, -5, 0, 0, 0], [-26, 22, -22, 0, 0, 0], [0, 0, 0, -18, -6, 22], [-2, 6, -12, 0, 0, 0], [-8, 20, 2, 0, 0, 0], [0, 0, 0, 48, -14, 0], [0, 0, 0, -25, 18, -5], [10, 9, 32, 0, 0, 0], [0, 0, 0, -18, -25, -14], [0, 0, 0, -9, -24, -9], [0, 0, 0, -9, -21, 36], [-42, 1, -13, 0, 0, 0], [0, 0, 0, -16, 36, 0], [0, 0, 0, 14, -20, 26], [0, 0, 0, -6, 20, -26], [-50, -2, 4, 0, 0, 0], [-34, 4, -4, 0, 0, 0], [0, 0, 0, 18, 16, 18], [23, 6, 0, 0, 0, 0], [0, 0, 0, -16, -12, 30], [-4, 14, 8, 0, 0, 0], [0, 0, 0, 21, -16, 19], [30, -3, 29, 0, 0, 0], [13, -8, -22, 0, 0, 0], [0, 0, 0, -16, -7, -12], [6, -3, 0, 0, 0, 0], [0, 0, 0, 6, -24, -2], [22, -16, -24, 0, 0, 0], [0, 0, 0, 12, -18, 28], [0, 0, 0, -40, -7, 16], [0, 0, 0, -5, -3, 0], [25, -3, 13, 0, 0, 0], [26, -7, -18, 0, 0, 0], [0, 0, 0, 13, 25, -10], [0, 0, 0, -34, -8, 22], [-38, 23, -17, 0, 0, 0], [-12, 27, -4, 0, 0, 0], [0, 0, 0, -10, 2, 20], [0, 0, 0, -29, 33, -22], [0, 0, 0, -17, 29, 6], [0, 0, 0, 36, -10, 14], [-32, -16, 2, 0, 0, 0], [-8, 28, 16, 0, 0, 0], [0, 0, 0, -46, 32, -20], [52, 0, 0, 0, 0, 0], [0, 0, 0, 22, 27, -8], [0, 0, 0, -33, 21, -7], [-7, -4, -22, 0, 0, 0], [23, 10, 8, 0, 0, 0], [0, 0, 0, 4, -24, 20], [0, 0, 0, 24, 4, -12], [28, 19, 8, 0, 0, 0], [0, 35, 11, 0, 0, 0], [-24, 14, -20, 0, 0, 0], [0, 0, 0, -4, 10, -2], [0, 0, 0, -8, 19, 26], [-4, 5, 29, 0, 0, 0], [20, -8, -14, 0, 0, 0], [0, -40, 24, 0, 0, 0], [-28, -12, 0, 0, 0, 0], [-28, -9, 2, 0, 0, 0], [0, 0, 0, 15, 20, 13], [16, 13, -22, 0, 0, 0], [0, 0, 0, -3, -11, -22], [12, 1, 27, 0, 0, 0]], 'char_orbit_index': 11, 'field_poly': [2, -4, 4, 2, 2, -2, 1], 'hecke_orbit_code': 9007886483064240, 'hecke_ring_character_values': [[911, [1, 0, 0, 0, 0, 0]], [1093, [1, 0, 0, 0, 0, 0]], [1249, [1, 0, 0, 0, 0, 0]], [561, [-1, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 23, 23, 23, 23, 23], 'hecke_ring_inverse_denominators': [1, 2, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [1, -1, 1, 1, -1, 1], [0, 0, 0, 2, 0, 1], [-2, 2, -1, 2, -1, 2], [-7, 5, -1, 0, 0, 0], [-9, 8, -3, -9, 3, -8]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [38, 2, -1, -4, 8, -1], [29, 10, -5, -20, 17, -5], [-13, 32, 30, 5, -10, 7], [27, -70, -11, -21, 19, -11], [26, -64, -37, -10, 20, -14]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '1456.2.k.c', 'level': 1456, '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': 5824, 'analytic_conductor': 11.626218534298424, 'char_conductor': 13, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 2, 'char_parity': 1, 'char_values': [1456, 2, [911, 1093, 1249, 561], [2, 2, 2, 1]], 'conrey_index': 337, 'cusp_dim': 212, 'dim': 42, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 687228323248, 'hecke_orbit_dims': [2, 6, 6, 8, 8, 12], 'label': '1456.2.k', 'level': 1456, '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, 7, 13], 'level_radical': 182, 'mf_dim': 236, 'mf_new_dim': 42, 'num_forms': 6, 'prim_orbit_index': 2, 'relative_dim': 42, 'sturm_bound': 448, 'trace_bound': 3, 'trace_display': [0, 0, 0, 0], 'traces': [42, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, 2, 0, 0, 0, -4, 0, 0, 0, 0, 0, -12, 0, -38, 0, 24, 0, 4, 0, 0, 0, 0, 0, -12, 0, 0, 0, 24, 0, 0, 0, 28, 0, 0, 0, 0, 0, -42, 0, 0, 0, -4, 0, 32, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 44, 0, 58, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -68, 0, 16, 0, -16, 0, -48, 0, 0, 0, 0, 0, -36, 0, 0, 0, 58, 0, 0, 0, -10, 0, 0, 0, 0, 0, -32, 0, -32, 0, -24, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 36, 0, 52, 0, 160, 0, 0, 0, 0, 0, 80, 0, 0, 0, 10, 0, 0, 0, 44, 0, 0, 0, 0, 0, 124, 0, -12, 0, -104, 0, 16, 0, 0, 0, 0, 0, -72, 0, 0, 0, -104, 0, 0, 0, -64, 0, 0, 0, 0, 0, -48, 0, 140, 0, 16, 0, -108, 0, 0, 0, 0, 0, 16, 0, 0, 0, 12, 0, 0, 0, -54, 0, 0, 0, 0, 0, 0, 0, 36, 0, 20, 0, 32, 0, 0, 0, 0, 0, 192, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 24, 0, -108, 0, 76, 0, 0, 0, 0, 0, -12, 0, 0, 0, 8, 0, 0, 0, -36, 0, 0, 0, 0, 0, 88, 0, -16, 0, 40, 0, 78, 0, 0, 0, 0, 0, -80, 0, 0, 0, -120, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 160, 0, -20, 0, -36, 0, 0, 0, 0, 0, -96, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, -52, 0, -80, 0, -160, 0, 0, 0, 0, 0, -96, 0, 0, 0, 88, 0, 0, 0, -8, 0, 0, 0, 0, 0, -42, 0, -136, 0, 80, 0, -8, 0, 0, 0, 0, 0, 68, 0, 0, 0, 36, 0, 0, 0, -128, 0, 0, 0, 0, 0, 76, 0, 180, 0, -144, 0, -144, 0, 0, 0, 0, 0, 32, 0, 0, 0, -60, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 148, 0, 160, 0, 8, 0, 0, 0, 0, 0, -52, 0, 0, 0, 64, 0, 0, 0, 52, 0, 0, 0, 0, 0, -8, 0, -42, 0, -188, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -24, 0, 0, 0, 288, 0, 0, 0, 0, 0, 32, 0, 48, 0, -32, 0, 152, 0, 0, 0, 0, 0, -4, 0, 0, 0, -48, 0, 0, 0, 160, 0, 0, 0, 0, 0, 144, 0, -120, 0, -152, 0, 16, 0, 0, 0, 0, 0, 120, 0, 0, 0, -32, 0, 0, 0, -100, 0, 0, 0, 0, 0, -112, 0, -160, 0, 28, 0, -352, 0, 0, 0, 0, 0, -54, 0, 0, 0, 64, 0, 0, 0, 160, 0, 0, 0, 0, 0, -56, 0, -192, 0, -36, 0, -228, 0, 0, 0, 0, 0, 128, 0, 0, 0, 104, 0, 0, 0, 32, 0, 0, 0, 0, 0, -44, 0, -68, 0, 16, 0, 272, 0, 0, 0, 0, 0, 16, 0, 0, 0, 32, 0, 0, 0, 48, 0, 0, 0, 0, 0, -40, 0, 0, 0, 60, 0, -100, 0, 0, 0, 0, 0, -208, 0, 0, 0, 36, 0, 0, 0, -176, 0, 0, 0, 0, 0, -80, 0, -44, 0, 298, 0, 112, 0, 0, 0, 0, 0, 16, 0, 0, 0, -2, 0, 0, 0, 76, 0, 0, 0, 0, 0, -168, 0, -32, 0, -88, 0, 84, 0, 0, 0, 0, 0, -20, 0, 0, 0, 104, 0, 0, 0, 196, 0, 0, 0, 0, 0, -100, 0, -384, 0, 12, 0, 36, 0, 0, 0, 0, 0, -16, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 68, 0, 56, 0, 304, 0, 0, 0, 0, 0, 276, 0, 0, 0, -112, 0, 0, 0, 192, 0, 0, 0, 0, 0, 36, 0, 192, 0, 18, 0, 152, 0, 0, 0, 0, 0, -120, 0, 0, 0, 112, 0, 0, 0, 112, 0, 0, 0, 0, 0, -44, 0, -104, 0, 160, 0, -276, 0, 0, 0, 0, 0, -24, 0, 0, 0, 56, 0, 0, 0, 112, 0, 0, 0, 0, 0, 24, 0, 56, 0, 192, 0, -184, 0, 0, 0, 0, 0, 176, 0, 0, 0, 12, 0, 0, 0, 132, 0, 0, 0, 0, 0, 216, 0, 0, 0, 264, 0, -92, 0, 0, 0, 0, 0, -16, 0, 0, 0, 56, 0, 0, 0, -192, 0, 0, 0, 0, 0, 124, 0, -104, 0, 4, 0, -68, 0, 0, 0, 0, 0, 174, 0, 0, 0, -176, 0, 0, 0, -120, 0, 0, 0, 0, 0, 268, 0, 132, 0, 424, 0, 32, 0, 0, 0, 0, 0, 40, 0, 0, 0, -80, 0, 0, 0, 132, 0, 0, 0, 0, 0, 132, 0, 64, 0, -208, 0, 96, 0, 0, 0, 0, 0, -144, 0, 0, 0, -216, 0, 0, 0, 216, 0, 0, 0, 0, 0, -148, 0, -52, 0, 92, 0, 128, 0, 0, 0, 0, 0, 64, 0, 0, 0, -272, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 16, 0, -12, 0, -320, 0, 0, 0, 0, 0, -128, 0, 0, 0, 208, 0, 0, 0, -36, 0, 0, 0, 0, 0, -24, 0, -186, 0, -176, 0, -112, 0, 0, 0, 0, 0, 288, 0, 0, 0, -376, 0, 0, 0, 8, 0, 0, 0, 0, 0, 32, 0, 48, 0, -96, 0, -224, 0, 0, 0, 0, 0, -84, 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: 739365
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '91.2.c.a', 'target_level': 91, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 739366
    {'conductor': 52, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '91.2.c.a', 'target_level': 91, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '52.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 739367
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '637.2.c.d', 'target_level': 637, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 739368
    {'conductor': 364, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '637.2.c.d', 'target_level': 637, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '364.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 739369
    {'conductor': 28, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 18, 'target_dim': 12, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '637.2.r.d', 'target_level': 637, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '28.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 739370
    {'conductor': 364, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 18, 'target_dim': 12, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '637.2.r.d', 'target_level': 637, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '364.x', 'twisting_char_orbit': 24, 'weight': 2}
  • id: 739371
    {'conductor': 28, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 18, 'target_dim': 12, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '637.2.r.e', 'target_level': 637, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '28.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 739372
    {'conductor': 364, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 18, 'target_dim': 12, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '637.2.r.e', 'target_level': 637, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '364.bl', 'twisting_char_orbit': 38, 'weight': 2}
  • id: 739373
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '819.2.c.b', 'target_level': 819, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 739374
    {'conductor': 156, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '819.2.c.b', 'target_level': 819, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '156.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 739375
    {'conductor': 52, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '1183.2.a.h', 'target_level': 1183, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '52.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 739376
    {'conductor': 52, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '1183.2.a.j', 'target_level': 1183, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '52.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 739377
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 11, 'target_dim': 6, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1456.2.k.c', 'target_level': 1456, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 739378
    {'conductor': 13, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 11, 'target_dim': 6, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1456.2.k.c', 'target_level': 1456, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '13.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 739379
    {'conductor': 364, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 31, 'target_is_minimal': False, 'target_label': '8281.2.a.be', 'target_level': 8281, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '364.p', 'twisting_char_orbit': 16, 'weight': 2}
  • id: 739380
    {'conductor': 364, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 11, 'source_dim': 6, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '1456.2.k.c', 'source_level': 1456, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 35, 'target_is_minimal': False, 'target_label': '8281.2.a.bi', 'target_level': 8281, 'twist_class_label': '91.2.c.a', 'twist_class_level': 91, 'twisting_char_label': '364.p', 'twisting_char_orbit': 16, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1965200
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 9007886483064240, 'p': 2}
  • id: 1965201
    {'charpoly_factorization': [[[-2, -4, 0, 1], 2]], 'hecke_orbit_code': 9007886483064240, 'p': 3}
  • id: 1965202
    {'charpoly_factorization': [[[1, 0, 7, 0, 11, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 5}
  • id: 1965203
    {'charpoly_factorization': [[[1, 0, 1], 3]], 'hecke_orbit_code': 9007886483064240, 'p': 7}
  • id: 1965204
    {'charpoly_factorization': [[[100, 0, 164, 0, 28, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 11}
  • id: 1965205
    {'charpoly_factorization': [[[2197, -1352, 91, 64, 7, -8, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 13}
  • id: 1965206
    {'charpoly_factorization': [[[-34, -8, 4, 1], 2]], 'hecke_orbit_code': 9007886483064240, 'p': 17}
  • id: 1965207
    {'charpoly_factorization': [[[37249, 0, 3867, 0, 119, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 19}
  • id: 1965208
    {'charpoly_factorization': [[[-79, -25, 3, 1], 2]], 'hecke_orbit_code': 9007886483064240, 'p': 23}
  • id: 1965209
    {'charpoly_factorization': [[[5, -21, 7, 1], 2]], 'hecke_orbit_code': 9007886483064240, 'p': 29}
  • id: 1965210
    {'charpoly_factorization': [[[4225, 0, 1791, 0, 83, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 31}
  • id: 1965211
    {'charpoly_factorization': [[[2916, 0, 1620, 0, 108, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 37}
  • id: 1965212
    {'charpoly_factorization': [[[1600, 0, 2864, 0, 108, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 41}
  • id: 1965213
    {'charpoly_factorization': [[[17, 35, -13, 1], 2]], 'hecke_orbit_code': 9007886483064240, 'p': 43}
  • id: 1965214
    {'charpoly_factorization': [[[18769, 0, 5819, 0, 151, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 47}
  • id: 1965215
    {'charpoly_factorization': [[[13, -9, -1, 1], 2]], 'hecke_orbit_code': 9007886483064240, 'p': 53}
  • id: 1965216
    {'charpoly_factorization': [[[2704, 0, 816, 0, 68, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 59}
  • id: 1965217
    {'charpoly_factorization': [[[152, 28, -14, 1], 2]], 'hecke_orbit_code': 9007886483064240, 'p': 61}
  • id: 1965218
    {'charpoly_factorization': [[[256, 0, 1408, 0, 80, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 67}
  • id: 1965219
    {'charpoly_factorization': [[[792100, 0, 27836, 0, 304, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 71}
  • id: 1965220
    {'charpoly_factorization': [[[961, 0, 7723, 0, 263, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 73}
  • id: 1965221
    {'charpoly_factorization': [[[-185, -37, 13, 1], 2]], 'hecke_orbit_code': 9007886483064240, 'p': 79}
  • id: 1965222
    {'charpoly_factorization': [[[26569, 0, 13095, 0, 227, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 83}
  • id: 1965223
    {'charpoly_factorization': [[[51529, 0, 4387, 0, 119, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, 'p': 89}
  • id: 1965224
    {'charpoly_factorization': [[[4765489, 0, 96115, 0, 575, 0, 1], 1]], 'hecke_orbit_code': 9007886483064240, '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': 11, 'hecke_orbit': 3, 'label': '1456.2.k.c', 'level': 1456, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31375099
    {'hecke_orbit_code': 9007886483064240, 'n': 1, 'trace_an': 6}
  • id: 31375100
    {'hecke_orbit_code': 9007886483064240, 'n': 2, 'trace_an': 0}
  • id: 31375101
    {'hecke_orbit_code': 9007886483064240, 'n': 3, 'trace_an': 0}
  • id: 31375102
    {'hecke_orbit_code': 9007886483064240, 'n': 4, 'trace_an': 0}
  • id: 31375103
    {'hecke_orbit_code': 9007886483064240, 'n': 5, 'trace_an': 0}
  • id: 31375104
    {'hecke_orbit_code': 9007886483064240, 'n': 6, 'trace_an': 0}
  • id: 31375105
    {'hecke_orbit_code': 9007886483064240, 'n': 7, 'trace_an': 0}
  • id: 31375106
    {'hecke_orbit_code': 9007886483064240, 'n': 8, 'trace_an': 0}
  • id: 31375107
    {'hecke_orbit_code': 9007886483064240, 'n': 9, 'trace_an': -2}
  • id: 31375108
    {'hecke_orbit_code': 9007886483064240, 'n': 10, 'trace_an': 0}
  • id: 31375109
    {'hecke_orbit_code': 9007886483064240, 'n': 11, 'trace_an': 0}
  • id: 31375110
    {'hecke_orbit_code': 9007886483064240, 'n': 12, 'trace_an': 0}
  • id: 31375111
    {'hecke_orbit_code': 9007886483064240, 'n': 13, 'trace_an': 8}
  • id: 31375112
    {'hecke_orbit_code': 9007886483064240, 'n': 14, 'trace_an': 0}
  • id: 31375113
    {'hecke_orbit_code': 9007886483064240, 'n': 15, 'trace_an': 0}
  • id: 31375114
    {'hecke_orbit_code': 9007886483064240, 'n': 16, 'trace_an': 0}
  • id: 31375115
    {'hecke_orbit_code': 9007886483064240, 'n': 17, 'trace_an': -8}
  • id: 31375116
    {'hecke_orbit_code': 9007886483064240, 'n': 18, 'trace_an': 0}
  • id: 31375117
    {'hecke_orbit_code': 9007886483064240, 'n': 19, 'trace_an': 0}
  • id: 31375118
    {'hecke_orbit_code': 9007886483064240, 'n': 20, 'trace_an': 0}
  • id: 31375119
    {'hecke_orbit_code': 9007886483064240, 'n': 21, 'trace_an': 0}
  • id: 31375120
    {'hecke_orbit_code': 9007886483064240, 'n': 22, 'trace_an': 0}
  • id: 31375121
    {'hecke_orbit_code': 9007886483064240, 'n': 23, 'trace_an': -6}
  • id: 31375122
    {'hecke_orbit_code': 9007886483064240, 'n': 24, 'trace_an': 0}
  • id: 31375123
    {'hecke_orbit_code': 9007886483064240, 'n': 25, 'trace_an': 8}
  • id: 31375124
    {'hecke_orbit_code': 9007886483064240, 'n': 26, 'trace_an': 0}
  • id: 31375125
    {'hecke_orbit_code': 9007886483064240, 'n': 27, 'trace_an': 12}
  • id: 31375126
    {'hecke_orbit_code': 9007886483064240, 'n': 28, 'trace_an': 0}
  • id: 31375127
    {'hecke_orbit_code': 9007886483064240, 'n': 29, 'trace_an': -14}
  • id: 31375128
    {'hecke_orbit_code': 9007886483064240, 'n': 30, 'trace_an': 0}
  • id: 31375129
    {'hecke_orbit_code': 9007886483064240, 'n': 31, 'trace_an': 0}
  • id: 31375130
    {'hecke_orbit_code': 9007886483064240, 'n': 32, 'trace_an': 0}
  • id: 31375131
    {'hecke_orbit_code': 9007886483064240, 'n': 33, 'trace_an': 0}
  • id: 31375132
    {'hecke_orbit_code': 9007886483064240, 'n': 34, 'trace_an': 0}
  • id: 31375133
    {'hecke_orbit_code': 9007886483064240, 'n': 35, 'trace_an': 6}
  • id: 31375134
    {'hecke_orbit_code': 9007886483064240, 'n': 36, 'trace_an': 0}
  • id: 31375135
    {'hecke_orbit_code': 9007886483064240, 'n': 37, 'trace_an': 0}
  • id: 31375136
    {'hecke_orbit_code': 9007886483064240, 'n': 38, 'trace_an': 0}
  • id: 31375137
    {'hecke_orbit_code': 9007886483064240, 'n': 39, 'trace_an': 8}
  • id: 31375138
    {'hecke_orbit_code': 9007886483064240, 'n': 40, 'trace_an': 0}
  • id: 31375139
    {'hecke_orbit_code': 9007886483064240, 'n': 41, 'trace_an': 0}
  • id: 31375140
    {'hecke_orbit_code': 9007886483064240, 'n': 42, 'trace_an': 0}
  • id: 31375141
    {'hecke_orbit_code': 9007886483064240, 'n': 43, 'trace_an': 26}
  • id: 31375142
    {'hecke_orbit_code': 9007886483064240, 'n': 44, 'trace_an': 0}
  • id: 31375143
    {'hecke_orbit_code': 9007886483064240, 'n': 45, 'trace_an': 0}
  • id: 31375144
    {'hecke_orbit_code': 9007886483064240, 'n': 46, 'trace_an': 0}
  • id: 31375145
    {'hecke_orbit_code': 9007886483064240, 'n': 47, 'trace_an': 0}
  • id: 31375146
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  • id: 31375147
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  • id: 31375148
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  • id: 31375149
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  • id: 31375150
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  • id: 31375151
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  • id: 31375152
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  • id: 31375153
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  • id: 31375154
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  • id: 31375155
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  • id: 31375156
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  • id: 31375157
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  • id: 31375158
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  • id: 31375159
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  • id: 31375160
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  • id: 31375161
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  • id: 31375162
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  • id: 31375163
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  • id: 31375164
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  • id: 31375165
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  • id: 31375166
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  • id: 31375167
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  • id: 31375168
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  • id: 31375169
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  • id: 31375170
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  • id: 31375171
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  • id: 31375172
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  • id: 31375173
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  • id: 31375174
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  • id: 31375175
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  • id: 31375176
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  • id: 31375177
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  • id: 31375178
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  • id: 31375179
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  • id: 31375180
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  • id: 31375181
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  • id: 31375182
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  • id: 31375183
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  • id: 31375184
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  • id: 31375185
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  • id: 31375186
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  • id: 31375187
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  • id: 31375188
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  • id: 31375189
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  • id: 31375190
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  • id: 31375191
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  • id: 31375192
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  • id: 31375193
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  • id: 31375194
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  • id: 31375195
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  • id: 31375196
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  • id: 31375197
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  • id: 31375198
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  • id: 31375199
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  • id: 31375200
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  • id: 31375201
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  • id: 31375202
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  • id: 31375203
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  • id: 31375204
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  • id: 31375205
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  • id: 31375206
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  • id: 31375207
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  • id: 31375208
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  • id: 31375209
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  • id: 31375210
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  • id: 31375211
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  • id: 31375212
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  • id: 31375213
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  • id: 31375214
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  • id: 31375215
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  • id: 31375216
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  • id: 31375217
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  • id: 31375218
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  • id: 31375219
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  • id: 31375220
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  • id: 31375221
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  • id: 31375222
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  • id: 31375223
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  • id: 31375224
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  • id: 31375225
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  • id: 31375226
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  • id: 31375227
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  • id: 31375228
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  • id: 31375229
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  • id: 31375230
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  • id: 31375231
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  • id: 31375232
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  • id: 31375233
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  • id: 31375234
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  • id: 31375235
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  • id: 31375236
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  • id: 31375237
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  • id: 31375238
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  • id: 31375239
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  • id: 31375240
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  • id: 31375241
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  • id: 31375242
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  • id: 31375243
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  • id: 31375244
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  • id: 31375245
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  • id: 31375246
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  • id: 31375247
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  • id: 31375248
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  • id: 31375249
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  • id: 31375250
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  • id: 31375251
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  • id: 31375252
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  • id: 31375253
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  • id: 31375254
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  • id: 31375255
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  • id: 31375256
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  • id: 31375257
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  • id: 31375258
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  • id: 31375259
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  • id: 31375260
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  • id: 31375261
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  • id: 31375262
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  • id: 31375263
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  • id: 31375264
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  • id: 31375265
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  • id: 31375266
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  • id: 31375267
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  • id: 31375268
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  • id: 31375269
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  • id: 31375270
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  • id: 31375271
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  • id: 31375272
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  • id: 31375273
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  • id: 31375274
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  • id: 31375275
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  • id: 31375276
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  • id: 31375277
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  • id: 31375278
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  • id: 31375279
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  • id: 31375280
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  • id: 31375281
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  • id: 31375282
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  • id: 31375283
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  • id: 31375284
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  • id: 31375285
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  • id: 31375286
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  • id: 31375287
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  • id: 31375288
    {'hecke_orbit_code': 9007886483064240, 'n': 569, 'trace_an': -18}
  • id: 31375289
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  • id: 31375290
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  • id: 31375291
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  • id: 31375292
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  • id: 31375293
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  • id: 31375294
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  • id: 31375295
    {'hecke_orbit_code': 9007886483064240, 'n': 607, 'trace_an': -84}
  • id: 31375296
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  • id: 31375297
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  • id: 31375298
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  • id: 31375299
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  • id: 31375300
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  • id: 31375301
    {'hecke_orbit_code': 9007886483064240, 'n': 641, 'trace_an': 98}
  • id: 31375302
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  • id: 31375303
    {'hecke_orbit_code': 9007886483064240, 'n': 647, 'trace_an': 168}
  • id: 31375304
    {'hecke_orbit_code': 9007886483064240, 'n': 653, 'trace_an': -12}
  • id: 31375305
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  • id: 31375306
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  • id: 31375307
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  • id: 31375308
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  • id: 31375309
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  • id: 31375310
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  • id: 31375311
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  • id: 31375312
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  • id: 31375313
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  • id: 31375314
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  • id: 31375315
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  • id: 31375316
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  • id: 31375317
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  • id: 31375318
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  • id: 31375319
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  • id: 31375320
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  • id: 31375321
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  • id: 31375322
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  • id: 31375323
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  • id: 31375324
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  • id: 31375325
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  • id: 31375326
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  • id: 31375327
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  • id: 31375328
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  • id: 31375329
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  • id: 31375330
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  • id: 31375331
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  • id: 31375332
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  • id: 31375333
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  • id: 31375334
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  • id: 31375335
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  • id: 31375336
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  • id: 31375337
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  • id: 31375338
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  • id: 31375339
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  • id: 31375340
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  • id: 31375341
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  • id: 31375342
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  • id: 31375343
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  • id: 31375344
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  • id: 31375345
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  • id: 31375346
    {'hecke_orbit_code': 9007886483064240, 'n': 937, 'trace_an': -136}
  • id: 31375347
    {'hecke_orbit_code': 9007886483064240, 'n': 941, 'trace_an': 0}
  • id: 31375348
    {'hecke_orbit_code': 9007886483064240, 'n': 947, 'trace_an': 0}
  • id: 31375349
    {'hecke_orbit_code': 9007886483064240, 'n': 953, 'trace_an': 26}
  • id: 31375350
    {'hecke_orbit_code': 9007886483064240, 'n': 961, 'trace_an': 20}
  • id: 31375351
    {'hecke_orbit_code': 9007886483064240, 'n': 967, 'trace_an': 0}
  • id: 31375352
    {'hecke_orbit_code': 9007886483064240, 'n': 971, 'trace_an': 220}
  • id: 31375353
    {'hecke_orbit_code': 9007886483064240, 'n': 977, 'trace_an': 0}
  • id: 31375354
    {'hecke_orbit_code': 9007886483064240, 'n': 983, 'trace_an': 0}
  • id: 31375355
    {'hecke_orbit_code': 9007886483064240, 'n': 991, 'trace_an': -32}
  • id: 31375356
    {'hecke_orbit_code': 9007886483064240, 'n': 997, 'trace_an': -16}