Embedded newform data - 3120.2.l.m.1249.1

Formats: - HTML - YAML - JSON - 2024-04-18T12:38:53.511534

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 12480, 'analytic_conductor': 24.91332543063948, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 12, 'char_orbit_label': 'l', 'char_order': 2, 'char_parity': 1, 'char_values': [3120, 2, [1951, 2341, 2081, 2497, 2641], [2, 2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 1249, 'conrey_indexes': [1249], 'dim': 6, 'field_disc': -5161984, 'field_disc_factorization': [[-1, 1], [2, 10], [71, 2]], 'field_poly': [8, -20, 25, -4, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [0, 1]], [11, [20, 2, -6, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54043951476247600, 'hecke_ring_generator_nbound': 11, '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, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3120.2.l.m', 'level': 3120, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'minimal_twist': '1560.2.l.c', 'nf_label': '6.0.5161984.1', 'prim_orbit_index': 2, 'qexp_display': 'q-\\beta _{3}q^{3}-\\beta _{5}q^{5}-q^{9}+(2-\\beta _{4}-\\beta _{5})q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3120.2.l', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1266231152261608966, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.101', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.417', 'prec': 17}, {'__RealLiteral__': 0, 'data': '215.398', 'prec': 24}, {'__RealLiteral__': 0, 'data': '81.457', 'prec': 20}, {'__RealLiteral__': 0, 'data': '11592.338', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.516', 'prec': 17}, 'traces': [6, 0, 0, 0, 0, 0, 0, 0, -6, 0, 12, 0, 0, 0, -2, 0, 0, 0, -4, 0, 0, 0, 0, 0, -10, 0, 0, 0, 20, 0, -24, 0, 0, 0, 0, 0, 0, 0, 6, 0, -20, 0, 0, 0, 0, 0, 0, 0, 42, 0, 8, 0, 0, 0, 20, 0, 0, 0, -12, 0, 4, 0, 0, 0, 2, 0, 0, 0, 20, 0, -16, 0, 0, 0, 4, 0, 0, 0, 40, 0, 6, 0, 0, 0, -32, 0, 0, 0, 44, 0, 0, 0, 0, 0, -16, 0, 0, 0, -12, 0, -60, 0, 0, 0, 0, 0, 0, 0, 24, 0, -12, 0, 0, 0, -28, 0, 0, 0, 0, 0, -2, 0, 0, 0, -24, 0, 0, 0, -8, 0, -8, 0, 0, 0, 2, 0, 0, 0, 16, 0, -32, 0, 0, 0, -8, 0, 0, 0, 24, 0, -32, 0, 0, 0, -40, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 4, 0, 0, 0, 0, 0, 0, 0, 40, 0, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 8, 0, -8, 0, 0, 0, -44, 0, 0, 0, -40, 0, 16, 0, 0, 0, 32, 0, 0, 0, -12, 0, -8, 0, 0, 0, 10, 0, 0, 0, 16, 0, 0, 0, 0, 0, 20, 0, 0, 0, 8, 0, 92, 0, 0, 0, 0, 0, 0, 0, 8, 0, -16, 0, 0, 0, -16, 0, 0, 0, 0, 0, -20, 0, 0, 0, -84, 0, 0, 0, 92, 0, 0, 0, 0, 0, -44, 0, 0, 0, 24, 0, 52, 0, 0, 0, 36, 0, 0, 0, -10, 0, 36, 0, 0, 0, 60, 0, 0, 0, -20, 0, 0, 0, 0, 0, -24, 0, 0, 0, 28, 0, 80, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -28, 0, 0, 0, -88, 0, 0, 0, 8, 0, -128, 0, 0, 0, -16, 0, 0, 0, -8, 0, -6, 0, 0, 0, 4, 0, 0, 0, 72, 0, -10, 0, 0, 0, 12, 0, 0, 0, 20, 0, 0, 0, 0, 0, -46, 0, 0, 0, 92, 0, -68, 0, 0, 0, 0, 0, 0, 0, 84, 0, -128, 0, 0, 0, 16, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -20, 0, 36, 0, 0, 0, -44, 0, 0, 0, -8, 0, 104, 0, 0, 0, -88, 0, 0, 0, 12, 0, 16, 0, 0, 0, -84, 0, 0, 0, 112, 0, -42, 0, 0, 0, 44, 0, 0, 0, -20, 0, -128, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, -12, 0, 0, 0, 104, 0, 12, 0, 0, 0, 12, 0, 0, 0, 24, 0, -8, 0, 0, 0, -20, 0, 0, 0, 132, 0, -64, 0, 0, 0, -40, 0, 0, 0, -8, 0, 0, 0, 0, 0, -68, 0, 0, 0, -4, 0, -12, 0, 0, 0, 0, 0, 0, 0, -30, 0, 12, 0, 0, 0, 8, 0, 0, 0, 84, 0, 48, 0, 0, 0, -32, 0, 0, 0, -4, 0, -152, 0, 0, 0, -40, 0, 0, 0, 8, 0, -16, 0, 0, 0, -40, 0, 0, 0, 92, 0, 16, 0, 0, 0, -96, 0, 0, 0, 28, 0, 0, 0, 0, 0, -2, 0, 0, 0, 80, 0, 36, 0, 0, 0, 0, 0, 0, 0, -16, 0, 60, 0, 0, 0, 56, 0, 0, 0, 0, 0, 32, 0, 0, 0, -40, 0, 0, 0, 60, 0, -20, 0, 0, 0, -50, 0, 0, 0, -48, 0, -32, 0, 0, 0, 20, 0, 0, 0, 16, 0, 36, 0, 0, 0, 16, 0, 0, 0, 96, 0, 0, 0, 0, 0, 8, 0, 0, 0, 168, 0, -32, 0, 0, 0, 0, 0, 0, 0, 40, 0, -40, 0, 0, 0, -4, 0, 0, 0, 0, 0, 40, 0, 0, 0, -96, 0, 0, 0, 20, 0, -236, 0, 0, 0, -112, 0, 0, 0, 8, 0, -204, 0, 0, 0, 36, 0, 0, 0, 16, 0, -40, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 52, 0, 0, 0, -6, 0, 112, 0, 0, 0, -14, 0, 0, 0, -12, 0, -4, 0, 0, 0, -60, 0, 0, 0, 0, 0, -80, 0, 0, 0, -72, 0, 0, 0, 8, 0, 4, 0, 0, 0, 32, 0, 0, 0, -28, 0, 72, 0, 0, 0, 88, 0, 0, 0, 8, 0, -24, 0, 0, 0, -36, 0, 0, 0, 28, 0, 0, 0, 0, 0, 8, 0, 0, 0, 176, 0, -44, 0, 0, 0, 0, 0, 0, 0, 76, 0, -132, 0, 0, 0, 16, 0, 0, 0, 0, 0, 64, 0, 0, 0, -48, 0, 0, 0, 156, 0, -4, 0, 0, 0, -52, 0, 0, 0, 0, 0, 202, 0, 0, 0, 0, 0, 0, 0, 8, 0, -24, 0, 0, 0, 16, 0, 0, 0, 80, 0, 0, 0, 0, 0, -140, 0, 0, 0, 112, 0, 8, 0, 0, 0, 0, 0, 0, 0, -36, 0, -36, 0, 0, 0, 16, 0, 0, 0, 0, 0, 12, 0, 0, 0, -32, 0, 0, 0, -48, 0, -112, 0, 0, 0, -112, 0, 0, 0, 60, 0, 128, 0, 0, 0, -44, 0, 0, 0, 56, 0, -120, 0, 0, 0, -104, 0, 0, 0, 44, 0, -28, 0, 0, 0, -152, 0, 0, 0, -56, 0, -104, 0, 0, 0, 0, 0, 0, 0, 12, 0, -12, 0, 0, 0, -16, 0, 0, 0, 0, 0, 70, 0, 0, 0, 156, 0, 0, 0, 96, 0, -64, 0, 0, 0, -10, 0, 0, 0, 176, 0, -24, 0, 0, 0, -128, 0, 0, 0, 128, 0, 32, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 48, 0, 0, 0, -76, 0, 56, 0, 0, 0, 0, 0, 0, 0, -20, 0, 16, 0, 0, 0, 124, 0, 0, 0, 0, 0, 176, 0, 0, 0, 28, 0, 0, 0, 128, 0, 32, 0, 0, 0, -64, 0, 0, 0, 52, 0, -4, 0, 0, 0, 16, 0, 0, 0, -28, 0, -152, 0, 0, 0, 44, 0, 0, 0, -20, 0, 0, 0, 0, 0, 88, 0, 0, 0, -8, 0, 240, 0, 0, 0, 0, 0, 0, 0, 2, 0, -8, 0, 0, 0, -80, 0, 0, 0, 0, 0, -44, 0, 0, 0, 16, 0, 0, 0, -20, 0, -200, 0, 0, 0, -48, 0, 0, 0, -44, 0, -88, 0, 0, 0, 24, 0, 0, 0, -36, 0, 20, 0, 0, 0, 28, 0, 0, 0, -64, 0, 0, 0, 0, 0, 16, 0, 0, 0, -72, 0, -152, 0, 0, 0, 0, 0, 0, 0, -40, 0, 8, 0, 0, 0, -56, 0, 0, 0, 0, 0, -56, 0, 0, 0, 160, 0, 0, 0, 8, 0, -248, 0, 0, 0, -48, 0, 0, 0, 120, 0, 12, 0, 0, 0, -36, 0, 0, 0, -16, 0, 228, 0, 0, 0, -8, 0, 0, 0, -24, 0, 0, 0, 0, 0, -2, 0, 0, 0, -72, 0, -104, 0, 0, 0, -70, 0, 0, 0, 176, 0, -128, 0, 0, 0, -36, 0, 0, 0, 0, 0, -112, 0, 0, 0, 44, 0, 0, 0, 4, 0, -16, 0, 0, 0, 152, 0, 0, 0, -60, 0, -36, 0, 0, 0, -152, 0, 0, 0, 32, 0, 256, 0, 0, 0, -32, 0, 0, 0, 104, 0, 0, 0, 0, 0, 136, 0, 0, 0, -132, 0, -184, 0, 0, 0, 0, 0, 0, 0, 104, 0, -124, 0, 0, 0, 8, 0, 0, 0, 0, 0, 88, 0, 0, 0, 284, 0, 0, 0, -72, 0, 108, 0, 0, 0, -40, 0, 0, 0, -16, 0, -24, 0, 0, 0, 32, 0, 0, 0, -28, 0, -24, 0, 0, 0, -104, 0, 0, 0, 80, 0, 0, 0, 0, 0, 16, 0, 0, 0, 32, 0, 244, 0, 0, 0, 0, 0, 0, 0, 38, 0, 116, 0, 0, 0, -148, 0, 0, 0, 0, 0, -180, 0, 0, 0, -28, 0, 0, 0, 96, 0, 0, 0, 0, 0, 40, 0, 0, 0, -136, 0, -64, 0, 0, 0, -20, 0, 0, 0, 116, 0, -16, 0, 0, 0, -136, 0, 0, 0, 16, 0, 140, 0, 0, 0, 80, 0, 0, 0, 4, 0, 20, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, -104, 0, 8, 0, 0, 0, -144, 0, 0, 0, -8, 0, -48, 0, 0, 0, -52, 0, 0, 0, -112, 0, -20, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, 16, 0, 0, 0, -136, 0, -128, 0, 0, 0, 0, 0, 0, 0, -60, 0, 160, 0, 0, 0, 12, 0, 0, 0, -168, 0, 6, 0, 0, 0, 60, 0, 0, 0, -192, 0, 56, 0, 0, 0, -40, 0, 0, 0, -4, 0, -48, 0, 0, 0, 8, 0, 0, 0, -144, 0, 8, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 24, 0, 212, 0, 0, 0, 0, 0, 0, 0, -36, 0, 32, 0, 0, 0, -112, 0, 0, 0, 0, 0, 48, 0, 0, 0, 136, 0, 0, 0, -20, 0, 332, 0, 0, 0, -40, 0, 0, 0, -108, 0, -40, 0, 0, 0, 16, 0, 0, 0, 260, 0, 100, 0, 0, 0, 46, 0, 0, 0, -4, 0, 0, 0, 0, 0, -128, 0, 0, 0, -72, 0, -32, 0, 0, 0, 0, 0, 0, 0, -48, 0, 68, 0, 0, 0, -56, 0, 0, 0, 0, 0, -208, 0, 0, 0, -4, 0, 0, 0, -80, 0, 108, 0, 0, 0, 64, 0, 0, 0, -88, 0, 90, 0, 0, 0, 216, 0, 0, 0, 112, 0, -24, 0, 0, 0, 24, 0, 0, 0, 144, 0, 0, 0, 0, 0, -112, 0, 0, 0, 80, 0, -88, 0, 0, 0, 0, 0, 0, 0, -16, 0, 44, 0, 0, 0, -52, 0, 0, 0, 0, 0, -100, 0, 0, 0, 112, 0, 0, 0, 80, 0, -44, 0, 0, 0, -40, 0, 0, 0, -24, 0, -176, 0, 0, 0, 0, 0, 0, 0, 96, 0, 56, 0, 0, 0, 200, 0, 0, 0, 184, 0, 0, 0, 0, 0, -16, 0, 0, 0, -108, 0, -36, 0, 0, 0, 0, 0, 0, 0, 16, 0, -8, 0, 0, 0, -108, 0, 0, 0, 0, 0, 388, 0, 0, 0, 112, 0, 0, 0, 8, 0, -96, 0, 0, 0, -26, 0, 0, 0, -64, 0, -132, 0, 0, 0, -216, 0, 0, 0, -192, 0, 408, 0, 0, 0, 148, 0, 0, 0, 28, 0, 0, 0, 0, 0, 44, 0, 0, 0, 146, 0, 60, 0, 0, 0, 0, 0, 0, 0, -12, 0, 16, 0, 0, 0, -68, 0, 0, 0, 0, 0, 112, 0, 0, 0, 16, 0, 0, 0, 40, 0, 40, 0, 0, 0, 84, 0, 0, 0, 84, 0, 80, 0, 0, 0, -16, 0, 0, 0, -16, 0, -60, 0, 0, 0, -24, 0, 0, 0, -32, 0, 42, 0, 0, 0, 76, 0, 0, 0, 104, 0, -48, 0, 0, 0, 0, 0, 0, 0, -8, 0, -60, 0, 0, 0, -32, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 228, 0, -16, 0, 0, 0, -16, 0, 0, 0, -12, 0, -8, 0, 0, 0, 80, 0, 0, 0, 16, 0, 12, 0, 0, 0, -48, 0, 0, 0, -64, 0, 0, 0, 0, 0, -212, 0, 0, 0, 8, 0, -216, 0, 0, 0, 0, 0, 0, 0, 176, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, -0.5773502691896257], [0.0, 0.0], [-0.7836667732943233, -0.6211814456617838], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.0, 0.0], [-0.4536733723885638, 0.0], [0.0, 0.0], [0.0, 0.2773500981126146], [0.0, 0.0], [-0.3586392748684317, 0.452450222516443], [0.0, 0.0], [0.0, 0.6613113326333717], [0.0, 0.0], [0.16670642868244936, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9855760055141449], [0.0, 0.0], [0.22826722313107284, 0.9735985183041462], [0.0, 0.0], [0.0, 0.19245008972987526], [0.0, 0.0], [1.4031169009785582, 0.0], [0.0, 0.0], [0.5404913913502066, 0.0], [0.0, 0.0], [0.0, 0.2619284436727026], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.8235285665394048], [0.0, 0.0], [0.16012815380508713, 0.0], [0.0, 0.0], [0.9038301257792001, 0.0], [0.0, 0.0], [0.0, -0.41581121435760665], [0.0, 0.0], [0.2612222577647745, 0.20706048188726126], [0.0, 0.0], [0.0, -1.4923915258004539], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], 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• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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': 12480, 'analytic_conductor': 24.91332543063948, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 12, 'char_orbit_label': 'l', 'char_order': 2, 'char_parity': 1, 'char_values': [3120, 2, [1951, 2341, 2081, 2497, 2641], [2, 2, 2, 1, 2]], 'conrey_index': 1249, 'cusp_dim': 648, 'dim': 72, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 755947801648, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 6, 8, 8, 10, 10], 'label': '3120.2.l', 'level': 3120, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'mf_dim': 696, 'mf_new_dim': 72, 'num_forms': 17, 'prim_orbit_index': 2, 'relative_dim': 72, 'sturm_bound': 1344, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, 0, 0, 48, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 8, 0, 0, 0, 16, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -8, 0, 0, 0, -8, 0, 72, 0, 0, 0, -16, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 48, 0, -32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 88, 0, 0, 0, 48, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 8, 0, -16, 0, 0, 0, 16, 0, 0, 0, -96, 0, -96, 0, 0, 0, 32, 0, 0, 0, -8, 0, -64, 0, 0, 0, -32, 0, 0, 0, -72, 0, 32, 0, 0, 0, 32, 0, 0, 0, -48, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 16, 0, 0, 0, 64, 0, 16, 0, 0, 0, 80, 0, 0, 0, -48, 0, 0, 0, 0, 0, 8, 0, 0, 0, 16, 0, -24, 0, 0, 0, -8, 0, 0, 0, -96, 0, -48, 0, 0, 0, 48, 0, 0, 0, 48, 0, -112, 0, 0, 0, 80, 0, 0, 0, 24, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 16, 0, 0, 0, 112, 0, 0, 0, 16, 0, 32, 0, 0, 0, 0, 0, 0, 0, -72, 0, 96, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 32, 0, -48, 0, 0, 0, -48, 0, 0, 0, -160, 0, -16, 0, 0, 0, -16, 0, 0, 0, -128, 0, 80, 0, 0, 0, -64, 0, 0, 0, 16, 0, 32, 0, 0, 0, -16, 0, 0, 0, -112, 0, -8, 0, 0, 0, -96, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -112, 0, 32, 0, 0, 0, 64, 0, 0, 0, -32, 0, 168, 0, 0, 0, 0, 0, 0, 0, -48, 0, 32, 0, 0, 0, 0, 0, 0, 0, 16, 0, 160, 0, 0, 0, 120, 0, 0, 0, 112, 0, 16, 0, 0, 0, 32, 0, 0, 0, 0, 0, 192, 0, 0, 0, -16, 0, 0, 0, 24, 0, 56, 0, 0, 0, 80, 0, 0, 0, 64, 0, -40, 0, 0, 0, 0, 0, 0, 0, -8, 0, -64, 0, 0, 0, 32, 0, 0, 0, -128, 0, -48, 0, 0, 0, -64, 0, 0, 0, 96, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -192, 0, 0, 0, -16, 0, 0, 0, -128, 0, -16, 0, 0, 0, -112, 0, 0, 0, -32, 0, -112, 0, 0, 0, 16, 0, 0, 0, -64, 0, 208, 0, 0, 0, 48, 0, 0, 0, -152, 0, 0, 0, 0, 0, 48, 0, 0, 0, 128, 0, -16, 0, 0, 0, -144, 0, 0, 0, 16, 0, 0, 0, 0, 0, -72, 0, 0, 0, 64, 0, 32, 0, 0, 0, 80, 0, 0, 0, -112, 0, 248, 0, 0, 0, -96, 0, 0, 0, -96, 0, 64, 0, 0, 0, 0, 0, 0, 0, 32, 0, -80, 0, 0, 0, 264, 0, 0, 0, -208, 0, 64, 0, 0, 0, 160, 0, 0, 0, -160, 0, 0, 0, 0, 0, 40, 0, 0, 0, 16, 0, -16, 0, 0, 0, 72, 0, 0, 0, -320, 0, -64, 0, 0, 0, 352, 0, 0, 0, 0, 0, -80, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 112, 0, 0, 0, -64, 0, -48, 0, 0, 0, 80, 0, 0, 0, -128, 0, -320, 0, 0, 0, 8, 0, 0, 0, -232, 0, 48, 0, 0, 0, 64, 0, 0, 0, -16, 0, 48, 0, 0, 0, 80, 0, 0, 0, -88, 0, -96, 0, 0, 0, 80, 0, 0, 0, 240, 0, 8, 0, 0, 0, -8, 0, 0, 0, -128, 0, 224, 0, 0, 0, 160, 0, 0, 0, -72, 0, -240, 0, 0, 0, 16, 0, 0, 0, -240, 0, 0, 0, 0, 0, 144, 0, 0, 0, 32, 0, 104, 0, 0, 0, 96, 0, 0, 0, 144, 0, 32, 0, 0, 0, 16, 0, 0, 0, -144, 0, 48, 0, 0, 0, 176, 0, 0, 0, -336, 0, -160, 0, 0, 0, -112, 0, 0, 0, 80, 0, 544, 0, 0, 0, -48, 0, 0, 0, 240, 0, 0, 0, 0, 0, 32, 0, 0, 0, -16, 0, 512, 0, 0, 0, -288, 0, 0, 0, -24, 0, -192, 0, 0, 0, 32, 0, 0, 0, -112, 0, 0, 0, 0, 0, -120, 0, 0, 0, -480, 0, -8, 0, 0, 0, 0, 0, 0, 0, -96, 0, 192, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 64, 0, 0, 0, 96, 0, -112, 0, 0, 0, 16, 0, 0, 0, 16, 0, -48, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -160, 0, 0, 0, 32, 0, -32, 0, 0, 0, 48, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, -200, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 96, 0, 0, 0, 64, 0, -96, 0, 0, 0, 16, 0, 0, 0, 0, 0, -112, 0, 0, 0, -32, 0, 0, 0, 240, 0, 232, 0, 0, 0, 192, 0, 0, 0, 96, 0, -80, 0, 0, 0, 0, 0, 0, 0, -72, 0, -48, 0, 0, 0, 48, 0, 0, 0, 384, 0, -120, 0, 0, 0, -256, 0, 0, 0, 32, 0, 0, 0, 0, 0, 16, 0, 0, 0, -80, 0, -32, 0, 0, 0, -32, 0, 0, 0, -256, 0, -144, 0, 0, 0, -176, 0, 0, 0, 192, 0, 368, 0, 0, 0, -32, 0, 0, 0, -168, 0, 16, 0, 0, 0, 64, 0, 0, 0, 48, 0, -448, 0, 0, 0, -64, 0, 0, 0, -48, 0, -224, 0, 0, 0, 16, 0, 0, 0, -112, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -192, 0, 0, 0, 208, 0, 0, 0, -88, 0, 368, 0, 0, 0, 176, 0, 0, 0, -176, 0, -96, 0, 0, 0, 0, 0, 0, 0, -480, 0, -208, 0, 0, 0, 208, 0, 0, 0, -128, 0, 224, 0, 0, 0, -48, 0, 0, 0, 112, 0, 48, 0, 0, 0, -184, 0, 0, 0, -288, 0, -288, 0, 0, 0, 80, 0, 0, 0, 16, 0, 32, 0, 0, 0, 96, 0, 0, 0, 176, 0, 0, 0, 0, 0, 176, 0, 0, 0, 64, 0, -280, 0, 0, 0, 80, 0, 0, 0, 96, 0, 96, 0, 0, 0, 48, 0, 0, 0, 352, 0, -96, 0, 0, 0, -128, 0, 0, 0, -80, 0, -112, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, -96, 0, 0, 0, -136, 0, 0, 0, 32, 0, 376, 0, 0, 0, -64, 0, 0, 0, 96, 0, 224, 0, 0, 0, -64, 0, 0, 0, 0, 0, -8, 0, 0, 0, 240, 0, 0, 0, 160, 0, 0, 0, 0, 0, -288, 0, 0, 0, 16, 0, -128, 0, 0, 0, 56, 0, 0, 0, 304, 0, 32, 0, 0, 0, -144, 0, 0, 0, -64, 0, -184, 0, 0, 0, 0, 0, 0, 0, 16, 0, 448, 0, 0, 0, -16, 0, 0, 0, -384, 0, 112, 0, 0, 0, 96, 0, 0, 0, -64, 0, -48, 0, 0, 0, -320, 0, 0, 0, -80, 0, 384, 0, 0, 0, -8, 0, 0, 0, -96, 0, 96, 0, 0, 0, 144, 0, 0, 0, -256, 0, -232, 0, 0, 0, 128, 0, 0, 0, 96, 0, 48, 0, 0, 0, 0, 0, 0, 0, -200, 0, 96, 0, 0, 0, -96, 0, 0, 0, 384, 0, 16, 0, 0, 0, -192, 0, 0, 0, -32, 0, -48, 0, 0, 0, -32, 0, 0, 0, 48, 0, -144, 0, 0, 0, 16, 0, 0, 0, 224, 0, -144, 0, 0, 0, -384, 0, 0, 0, -144, 0, 0, 0, 0, 0, 112, 0, 0, 0, 336, 0, 8, 0, 0, 0, -128, 0, 0, 0, -96, 0, 352, 0, 0, 0, 320, 0, 0, 0, 64, 0, 480, 0, 0, 0, 120, 0, 0, 0, 200, 0, -64, 0, 0, 0, -48, 0, 0, 0, -96, 0, 192, 0, 0, 0, -400, 0, 0, 0, -96, 0, 48, 0, 0, 0, 32, 0, 0, 0, -16, 0, -296, 0, 0, 0, 24, 0, 0, 0, 448, 0, 224, 0, 0, 0, -256, 0, 0, 0, 176, 0, -128, 0, 0, 0, 0, 0, 0, 0, -240, 0, 72, 0, 0, 0, 240, 0, 0, 0, -96, 0, -184, 0, 0, 0, -144, 0, 0, 0, -32, 0, -224, 0, 0, 0, -160, 0, 0, 0, 176, 0, -16, 0, 0, 0, -352, 0, 0, 0, -32, 0, 416, 0, 0, 0, 0, 0, 0, 0, -224, 0, -480, 0, 0, 0, -32, 0, 0, 0, -128, 0, -192, 0, 0, 0, -240, 0, 0, 0, -32, 0, -272, 0, 0, 0, 336, 0, 0, 0, 72, 0, 192, 0, 0, 0, -16, 0, 0, 0, 32, 0, 48, 0, 0, 0, 352, 0, 0, 0, 288, 0, -432, 0, 0, 0, -48, 0, 0, 0, -16, 0, -480, 0, 0, 0, 112, 0, 0, 0, -184, 0, 32, 0, 0, 0, 96, 0, 0, 0, 32, 0, 176, 0, 0, 0, 128, 0, 0, 0, 240, 0, -384, 0, 0, 0, 0, 0, 0, 0, -48, 0, -64, 0, 0, 0, 672, 0, 0, 0, 0, 0, 264, 0, 0, 0, 160, 0, 0, 0, 80, 0, -496, 0, 0, 0, -48, 0, 0, 0, 456, 0, 0, 0, 0, 0, 32, 0, 0, 0, -288, 0, -576, 0, 0, 0, -304, 0, 0, 0, -144, 0, 288, 0, 0, 0, 80, 0, 0, 0, -32, 0, 32, 0, 0, 0, 256, 0, 0, 0, -64, 0, 144, 0, 0, 0, -336, 0, 0, 0, 96, 0, 272, 0, 0, 0, 0, 0, 0, 0, -192, 0, 208, 0, 0, 0, -96, 0, 0, 0, -224, 0, -248, 0, 0, 0, 464, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 368, 0, -16, 0, 0, 0, 280, 0, 0, 0, 128, 0, 112, 0, 0, 0, -112, 0, 0, 0, 0, 0, -256, 0, 0, 0, 272, 0, 0, 0, -248, 0, 32, 0, 0, 0, -256, 0, 0, 0, -256, 0, 688, 0, 0, 0, -48, 0, 0, 0, 224, 0, 160, 0, 0, 0, -16, 0, 0, 0, -40, 0, 64, 0, 0, 0, -568, 0, 0, 0, 0, 0, -496, 0, 0, 0, -256, 0, 0, 0, 0, 0, -880, 0, 0, 0, -128, 0, 0, 0, -96, 0, -64, 0, 0, 0, 32, 0, 0, 0, 240, 0, 352, 0, 0, 0, -16, 0, 0, 0, -16, 0, 448, 0, 0, 0, 128, 0, 0, 0, 160, 0, -72, 0, 0, 0, 88, 0, 0, 0, 704, 0, -224, 0, 0, 0, 256, 0, 0, 0, -32, 0, 96, 0, 0, 0, -80, 0, 0, 0, 176, 0, -240, 0, 0, 0, -240, 0, 0, 0, 64, 0, 672, 0, 0, 0, -320, 0, 0, 0, -224, 0, -32, 0, 0, 0, 144, 0, 0, 0, -384, 0, 48, 0, 0, 0, 392, 0, 0, 0, -240, 0, -224, 0, 0, 0, 128, 0, 0, 0, 0, 0, 192, 0, 0, 0, 128, 0, 0, 0, 296, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 47603793
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1249, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 54043951476247600, 'source_is_minimal': False, 'source_label': '3120.2.l.m.1249.1', 'source_level': 3120, 'target_conrey_index': 1249, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043951476247600, 'target_is_minimal': False, 'target_label': '3120.2.l.m.1249.1', 'target_level': 3120, 'twist_class_label': '1560.2.l.c.1249.1', 'twist_class_level': 1560, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47603794
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1249, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 54043951476247600, 'source_is_minimal': False, 'source_label': '3120.2.l.m.1249.1', 'source_level': 3120, 'target_conrey_index': 1249, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007955202541080, 'target_is_minimal': True, 'target_label': '1560.2.l.c.1249.4', 'target_level': 1560, 'twist_class_label': '1560.2.l.c.1249.1', 'twist_class_level': 1560, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47603795
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1249, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 54043951476247600, 'source_is_minimal': False, 'source_label': '3120.2.l.m.1249.1', 'source_level': 3120, 'target_conrey_index': 1249, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 54043951476247600, 'target_is_minimal': False, 'target_label': '3120.2.l.m.1249.4', 'target_level': 3120, 'twist_class_label': '1560.2.l.c.1249.1', 'twist_class_level': 1560, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47603796
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1249, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 54043951476247600, 'source_is_minimal': False, 'source_label': '3120.2.l.m.1249.1', 'source_level': 3120, 'target_conrey_index': 2809, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 18015154457285192, 'target_is_minimal': False, 'target_label': '4680.2.l.e.2809.6', 'target_level': 4680, 'twist_class_label': '1560.2.l.c.1249.1', 'twist_class_level': 1560, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 47603797
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1249, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 54043951476247600, 'source_is_minimal': False, 'source_label': '3120.2.l.m.1249.1', 'source_level': 3120, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 157625986991529592, 'target_is_minimal': False, 'target_label': '7800.2.a.bj.1.3', 'target_level': 7800, 'twist_class_label': '1560.2.l.c.1249.1', 'twist_class_level': 1560, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47603798
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1249, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 54043951476247600, 'source_is_minimal': False, 'source_label': '3120.2.l.m.1249.1', 'source_level': 3120, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 184647584755752568, 'target_is_minimal': False, 'target_label': '7800.2.a.bp.1.3', 'target_level': 7800, 'twist_class_label': '1560.2.l.c.1249.1', 'twist_class_level': 1560, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 47603799
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1249, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 54043951476247600, 'source_is_minimal': False, 'source_label': '3120.2.l.m.1249.1', 'source_level': 3120, 'target_conrey_index': 1249, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007955202541080, 'target_is_minimal': True, 'target_label': '1560.2.l.c.1249.1', 'target_level': 1560, 'twist_class_label': '1560.2.l.c.1249.1', 'twist_class_level': 1560, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 47603800
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1249, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 54043951476247600, 'source_is_minimal': False, 'source_label': '3120.2.l.m.1249.1', 'source_level': 3120, 'target_conrey_index': 2809, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18015154457285192, 'target_is_minimal': False, 'target_label': '4680.2.l.e.2809.5', 'target_level': 4680, 'twist_class_label': '1560.2.l.c.1249.1', 'twist_class_level': 1560, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3015800
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 54043951476247600, 'p': 2}
  • id: 3015801
    {'charpoly_factorization': [[[1, 0, 1], 3]], 'hecke_orbit_code': 54043951476247600, 'p': 3}
  • id: 3015802
    {'charpoly_factorization': [[[125, 0, 25, 8, 5, 0, 1], 1]], 'hecke_orbit_code': 54043951476247600, 'p': 5}
  • id: 3015803
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 54043951476247600, 'p': 7}
  • id: 3015804
    {'charpoly_factorization': [[[20, 2, -6, 1], 2]], 'hecke_orbit_code': 54043951476247600, 'p': 11}
  • id: 3015805
    {'charpoly_factorization': [[[1, 0, 1], 3]], 'hecke_orbit_code': 54043951476247600, 'p': 13}
  • id: 3015806
    {'charpoly_factorization': [[[4096, 0, 912, 0, 56, 0, 1], 1]], 'hecke_orbit_code': 54043951476247600, 'p': 17}
  • id: 3015807
    {'charpoly_factorization': [[[16, -24, 2, 1], 2]], 'hecke_orbit_code': 54043951476247600, 'p': 19}
  • id: 3015808
    {'charpoly_factorization': [[[6400, 0, 1664, 0, 84, 0, 1], 1]], 'hecke_orbit_code': 54043951476247600, 'p': 23}
  • id: 3015809
    {'charpoly_factorization': [[[472, -44, -10, 1], 2]], 'hecke_orbit_code': 54043951476247600, 'p': 29}
  • id: 3015810
    {'charpoly_factorization': [[[-160, 8, 12, 1], 2]], 'hecke_orbit_code': 54043951476247600, 'p': 31}
  • id: 3015811
    {'charpoly_factorization': [[[18496, 0, 2416, 0, 92, 0, 1], 1]], 'hecke_orbit_code': 54043951476247600, 'p': 37}
  • id: 3015812
    {'charpoly_factorization': [[[-332, -34, 10, 1], 2]], 'hecke_orbit_code': 54043951476247600, 'p': 41}
  • id: 3015813
    {'charpoly_factorization': [[[4096, 0, 912, 0, 56, 0, 1], 1]], 'hecke_orbit_code': 54043951476247600, 'p': 43}
  • id: 3015814
    {'charpoly_factorization': [[[65536, 0, 9348, 0, 188, 0, 1], 1]], 'hecke_orbit_code': 54043951476247600, 'p': 47}
  • id: 3015815
    {'charpoly_factorization': [[[222784, 0, 11376, 0, 188, 0, 1], 1]], 'hecke_orbit_code': 54043951476247600, 'p': 53}
  • id: 3015816
    {'charpoly_factorization': [[[44, -78, 6, 1], 2]], 'hecke_orbit_code': 54043951476247600, 'p': 59}
  • id: 3015817
    {'charpoly_factorization': [[[32, -32, -2, 1], 2]], 'hecke_orbit_code': 54043951476247600, 'p': 61}
  • id: 3015818
    {'charpoly_factorization': [[[65536, 0, 18432, 0, 272, 0, 1], 1]], 'hecke_orbit_code': 54043951476247600, 'p': 67}
  • id: 3015819
    {'charpoly_factorization': [[[-64, 2, 8, 1], 2]], 'hecke_orbit_code': 54043951476247600, 'p': 71}
  • id: 3015820
    {'charpoly_factorization': [[[678976, 0, 31792, 0, 332, 0, 1], 1]], 'hecke_orbit_code': 54043951476247600, 'p': 73}
  • id: 3015821
    {'charpoly_factorization': [[[-160, 108, -20, 1], 2]], 'hecke_orbit_code': 54043951476247600, 'p': 79}
  • id: 3015822
    {'charpoly_factorization': [[[53824, 0, 5700, 0, 140, 0, 1], 1]], 'hecke_orbit_code': 54043951476247600, 'p': 83}
  • id: 3015823
    {'charpoly_factorization': [[[244, 94, -22, 1], 2]], 'hecke_orbit_code': 54043951476247600, 'p': 89}
  • id: 3015824
    {'charpoly_factorization': [[[36, 0, 1], 3]], 'hecke_orbit_code': 54043951476247600, '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': 12, 'hecke_orbit': 13, 'label': '3120.2.l.m', 'level': 3120, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 225612000
    {'hecke_orbit_code': 54043951476247600, 'n': 1, 'trace_an': 6}
  • id: 225612001
    {'hecke_orbit_code': 54043951476247600, 'n': 2, 'trace_an': 0}
  • id: 225612002
    {'hecke_orbit_code': 54043951476247600, 'n': 3, 'trace_an': 0}
  • id: 225612003
    {'hecke_orbit_code': 54043951476247600, 'n': 4, 'trace_an': 0}
  • id: 225612004
    {'hecke_orbit_code': 54043951476247600, 'n': 5, 'trace_an': 0}
  • id: 225612005
    {'hecke_orbit_code': 54043951476247600, 'n': 6, 'trace_an': 0}
  • id: 225612006
    {'hecke_orbit_code': 54043951476247600, 'n': 7, 'trace_an': 0}
  • id: 225612007
    {'hecke_orbit_code': 54043951476247600, 'n': 8, 'trace_an': 0}
  • id: 225612008
    {'hecke_orbit_code': 54043951476247600, 'n': 9, 'trace_an': -6}
  • id: 225612009
    {'hecke_orbit_code': 54043951476247600, 'n': 10, 'trace_an': 0}
  • id: 225612010
    {'hecke_orbit_code': 54043951476247600, 'n': 11, 'trace_an': 12}
  • id: 225612011
    {'hecke_orbit_code': 54043951476247600, 'n': 12, 'trace_an': 0}
  • id: 225612012
    {'hecke_orbit_code': 54043951476247600, 'n': 13, 'trace_an': 0}
  • id: 225612013
    {'hecke_orbit_code': 54043951476247600, 'n': 14, 'trace_an': 0}
  • id: 225612014
    {'hecke_orbit_code': 54043951476247600, 'n': 15, 'trace_an': -2}
  • id: 225612015
    {'hecke_orbit_code': 54043951476247600, 'n': 16, 'trace_an': 0}
  • id: 225612016
    {'hecke_orbit_code': 54043951476247600, 'n': 17, 'trace_an': 0}
  • id: 225612017
    {'hecke_orbit_code': 54043951476247600, 'n': 18, 'trace_an': 0}
  • id: 225612018
    {'hecke_orbit_code': 54043951476247600, 'n': 19, 'trace_an': -4}
  • id: 225612019
    {'hecke_orbit_code': 54043951476247600, 'n': 20, 'trace_an': 0}
  • id: 225612020
    {'hecke_orbit_code': 54043951476247600, 'n': 21, 'trace_an': 0}
  • id: 225612021
    {'hecke_orbit_code': 54043951476247600, 'n': 22, 'trace_an': 0}
  • id: 225612022
    {'hecke_orbit_code': 54043951476247600, 'n': 23, 'trace_an': 0}
  • id: 225612023
    {'hecke_orbit_code': 54043951476247600, 'n': 24, 'trace_an': 0}
  • id: 225612024
    {'hecke_orbit_code': 54043951476247600, 'n': 25, 'trace_an': -10}
  • id: 225612025
    {'hecke_orbit_code': 54043951476247600, 'n': 26, 'trace_an': 0}
  • id: 225612026
    {'hecke_orbit_code': 54043951476247600, 'n': 27, 'trace_an': 0}
  • id: 225612027
    {'hecke_orbit_code': 54043951476247600, 'n': 28, 'trace_an': 0}
  • id: 225612028
    {'hecke_orbit_code': 54043951476247600, 'n': 29, 'trace_an': 20}
  • id: 225612029
    {'hecke_orbit_code': 54043951476247600, 'n': 30, 'trace_an': 0}
  • id: 225612030
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  • id: 225612031
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  • id: 225612039
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  • id: 225612041
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  • id: 225612045
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  • id: 225612051
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  • id: 225612111
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  • id: 225612115
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  • id: 225612118
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  • id: 225612120
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  • id: 225612121
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  • id: 225612122
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  • id: 225612125
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  • id: 225612126
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  • id: 225612127
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  • id: 225612128
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  • id: 225612129
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  • id: 225612130
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  • id: 225612131
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  • id: 225612132
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  • id: 225612133
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  • id: 225612134
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  • id: 225612136
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  • id: 225612138
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  • id: 225612140
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  • id: 225612141
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  • id: 225612144
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  • id: 225612145
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  • id: 225612146
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  • id: 225612151
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  • id: 225612154
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  • id: 225612155
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  • id: 225612158
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  • id: 225612159
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  • id: 225612160
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  • id: 225612164
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  • id: 225612168
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  • id: 225612169
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  • id: 225612170
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  • id: 225612171
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  • id: 225612174
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  • id: 225612175
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  • id: 225612177
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  • id: 225612178
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  • id: 225612180
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  • id: 225612191
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  • id: 225612212
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  • id: 225612223
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  • id: 225612521
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  • id: 225612800
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  • id: 225612801
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  • id: 225612809
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  • id: 225612810
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  • id: 225612811
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  • id: 225612812
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  • id: 225612813
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  • id: 225612814
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  • id: 225612815
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  • id: 225612819
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  • id: 225612821
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  • id: 225612822
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  • id: 225612823
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  • id: 225612825
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  • id: 225612829
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  • id: 225612830
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  • id: 225612831
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  • id: 225612865
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  • id: 225612867
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  • id: 225612870
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  • id: 225612871
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  • id: 225612875
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  • id: 225612876
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  • id: 225612878
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  • id: 225612879
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  • id: 225612880
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  • id: 225612881
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  • id: 225612890
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  • id: 225612891
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  • id: 225612894
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  • id: 225612895
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  • id: 225612896
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  • id: 225612898
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  • id: 225612899
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  • id: 225612901
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  • id: 225612902
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  • id: 225612904
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  • id: 225612905
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  • id: 225612906
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  • id: 225612907
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  • id: 225612910
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  • id: 225612912
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  • id: 225612914
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  • id: 225612915
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  • id: 225612916
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  • id: 225612917
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  • id: 225612918
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  • id: 225612919
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  • id: 225612920
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  • id: 225612921
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  • id: 225612922
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  • id: 225612923
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  • id: 225612924
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  • id: 225612925
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  • id: 225612926
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  • id: 225612927
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  • id: 225612928
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  • id: 225612929
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  • id: 225612930
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  • id: 225612931
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  • id: 225612932
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  • id: 225612933
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  • id: 225612934
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  • id: 225612935
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  • id: 225612936
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  • id: 225612937
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  • id: 225612938
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  • id: 225612939
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  • id: 225612940
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  • id: 225612941
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  • id: 225612942
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  • id: 225612943
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  • id: 225612944
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  • id: 225612945
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  • id: 225612946
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  • id: 225612947
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  • id: 225612948
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  • id: 225612949
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  • id: 225612951
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  • id: 225612952
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  • id: 225612953
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  • id: 225612954
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  • id: 225612955
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  • id: 225612956
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  • id: 225612961
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  • id: 225612962
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  • id: 225612963
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  • id: 225612965
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  • id: 225612969
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  • id: 225612970
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  • id: 225612971
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  • id: 225612972
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  • id: 225612973
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  • id: 225612974
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  • id: 225612975
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  • id: 225612976
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  • id: 225612977
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  • id: 225612978
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  • id: 225612979
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  • id: 225612980
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  • id: 225612981
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  • id: 225612982
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  • id: 225612983
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  • id: 225612984
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  • id: 225612985
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  • id: 225612986
    {'hecke_orbit_code': 54043951476247600, 'n': 987, 'trace_an': 0}
  • id: 225612987
    {'hecke_orbit_code': 54043951476247600, 'n': 988, 'trace_an': 0}
  • id: 225612988
    {'hecke_orbit_code': 54043951476247600, 'n': 989, 'trace_an': 128}
  • id: 225612989
    {'hecke_orbit_code': 54043951476247600, 'n': 990, 'trace_an': 0}
  • id: 225612990
    {'hecke_orbit_code': 54043951476247600, 'n': 991, 'trace_an': 32}
  • id: 225612991
    {'hecke_orbit_code': 54043951476247600, 'n': 992, 'trace_an': 0}
  • id: 225612992
    {'hecke_orbit_code': 54043951476247600, 'n': 993, 'trace_an': 0}
  • id: 225612993
    {'hecke_orbit_code': 54043951476247600, 'n': 994, 'trace_an': 0}
  • id: 225612994
    {'hecke_orbit_code': 54043951476247600, 'n': 995, 'trace_an': 0}
  • id: 225612995
    {'hecke_orbit_code': 54043951476247600, 'n': 996, 'trace_an': 0}
  • id: 225612996
    {'hecke_orbit_code': 54043951476247600, 'n': 997, 'trace_an': 0}
  • id: 225612997
    {'hecke_orbit_code': 54043951476247600, 'n': 998, 'trace_an': 0}
  • id: 225612998
    {'hecke_orbit_code': 54043951476247600, 'n': 999, 'trace_an': 12}
  • id: 225612999
    {'hecke_orbit_code': 54043951476247600, 'n': 1000, 'trace_an': 0}