Embedded newform data - 2100.2.k.c.1849.1

Formats: - HTML - YAML - JSON - 2025-11-06T19:17:44.449029

• 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': 8400, 'analytic_conductor': 16.76858442446888, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, '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': [2100, 2, [1051, 701, 1177, 1501], [2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 1849, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[11, [2, 1]], [13, [16, 0, 1]], [17, [4, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007886483064884, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2100.2.k.c', 'level': 2100, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'minimal_twist': '420.2.a.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+i q^{3}+i q^{7}-q^{9}-2 q^{11}-4 i q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2100.2.k', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1475230977549059019, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '16.243', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '162.302', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.513', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, -2, 0, -4, 0, 0, 0, 0, 0, 0, 0, -4, 0, -2, 0, 0, 0, 0, 0, 0, 0, -12, 0, -4, 0, 0, 0, 0, 0, 0, 0, 8, 0, -20, 0, 0, 0, 0, 0, 0, 0, -2, 0, -4, 0, 0, 0, 0, 0, 0, 0, 16, 0, -4, 0, 0, 0, 0, 0, 0, 0, 8, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -4, 0, 8, 0, 0, 0, 0, 0, 0, 0, 4, 0, -12, 0, 0, 0, 0, 0, 0, 0, 28, 0, -20, 0, 0, 0, 0, 0, 0, 0, -4, 0, -14, 0, 0, 0, 0, 0, 0, 0, 24, 0, 24, 0, 0, 0, 0, 0, 0, 0, -4, 0, 16, 0, 0, 0, 0, 0, 0, 0, -36, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -6, 0, 4, 0, 0, 0, 0, 0, 0, 0, -44, 0, -44, 0, 0, 0, 0, 0, 0, 0, 2, 0, -44, 0, 0, 0, 0, 0, 0, 0, 20, 0, 24, 0, 0, 0, 0, 0, 0, 0, 8, 0, 40, 0, 0, 0, 0, 0, 0, 0, 8, 0, 16, 0, 0, 0, 0, 0, 0, 0, 52, 0, 4, 0, 0, 0, 0, 0, 0, 0, -28, 0, 60, 0, 0, 0, 0, 0, 0, 0, -24, 0, 32, 0, 0, 0, 0, 0, 0, 0, -20, 0, 12, 0, 0, 0, 0, 0, 0, 0, -36, 0, -12, 0, 0, 0, 0, 0, 0, 0, 4, 0, -52, 0, 0, 0, 0, 0, 0, 0, 26, 0, 16, 0, 0, 0, 0, 0, 0, 0, -32, 0, 24, 0, 0, 0, 0, 0, 0, 0, 16, 0, 16, 0, 0, 0, 0, 0, 0, 0, 24, 0, -8, 0, 0, 0, 0, 0, 0, 0, 16, 0, -40, 0, 0, 0, 0, 0, 0, 0, 8, 0, 8, 0, 0, 0, 0, 0, 0, 0, 20, 0, -8, 0, 0, 0, 0, 0, 0, 0, -20, 0, -30, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 16, 0, 0, 0, 0, 0, 0, 0, 4, 0, -60, 0, 0, 0, 0, 0, 0, 0, 28, 0, 16, 0, 0, 0, 0, 0, 0, 0, -72, 0, -52, 0, 0, 0, 0, 0, 0, 0, -16, 0, 60, 0, 0, 0, 0, 0, 0, 0, 20, 0, 2, 0, 0, 0, 0, 0, 0, 0, -20, 0, 40, 0, 0, 0, 0, 0, 0, 0, 4, 0, -20, 0, 0, 0, 0, 0, 0, 0, 24, 0, -16, 0, 0, 0, 0, 0, 0, 0, 48, 0, 80, 0, 0, 0, 0, 0, 0, 0, 24, 0, 60, 0, 0, 0, 0, 0, 0, 0, -80, 0, 32, 0, 0, 0, 0, 0, 0, 0, 44, 0, 8, 0, 0, 0, 0, 0, 0, 0, 4, 0, 60, 0, 0, 0, 0, 0, 0, 0, 14, 0, -16, 0, 0, 0, 0, 0, 0, 0, 4, 0, -20, 0, 0, 0, 0, 0, 0, 0, 4, 0, 24, 0, 0, 0, 0, 0, 0, 0, -96, 0, 8, 0, 0, 0, 0, 0, 0, 0, 12, 0, 32, 0, 0, 0, 0, 0, 0, 0, -28, 0, -24, 0, 0, 0, 0, 0, 0, 0, 8, 0, -24, 0, 0, 0, 0, 0, 0, 0, -52, 0, 76, 0, 0, 0, 0, 0, 0, 0, 12, 0, -64, 0, 0, 0, 0, 0, 0, 0, -20, 0, -8, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 60, 0, 0, 0, 0, 0, 0, 0, -32, 0, 4, 0, 0, 0, 0, 0, 0, 0, 76, 0, 76, 0, 0, 0, 0, 0, 0, 0, 24, 0, 8, 0, 0, 0, 0, 0, 0, 0, 16, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 8, 0, -84, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 16, 0, 0, 0, 0, 0, 0, 0, -2, 0, 48, 0, 0, 0, 0, 0, 0, 0, 48, 0, -16, 0, 0, 0, 0, 0, 0, 0, -8, 0, -64, 0, 0, 0, 0, 0, 0, 0, -16, 0, -44, 0, 0, 0, 0, 0, 0, 0, -44, 0, -28, 0, 0, 0, 0, 0, 0, 0, 40, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 32, 0, 4, 0, 0, 0, 0, 0, 0, 0, 52, 0, -108, 0, 0, 0, 0, 0, 0, 0, -8, 0, -100, 0, 0, 0, 0, 0, 0, 0, -100, 0, 44, 0, 0, 0, 0, 0, 0, 0, 24, 0, 14, 0, 0, 0, 0, 0, 0, 0, -8, 0, 80, 0, 0, 0, 0, 0, 0, 0, 68, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -60, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, -60, 0, 0, 0, 0, 0, 0, 0, -32, 0, -64, 0, 0, 0, 0, 0, 0, 0, 28, 0, 4, 0, 0, 0, 0, 0, 0, 0, -16, 0, 60, 0, 0, 0, 0, 0, 0, 0, -32, 0, -64, 0, 0, 0, 0, 0, 0, 0, 16, 0, -54, 0, 0, 0, 0, 0, 0, 0, 8, 0, -48, 0, 0, 0, 0, 0, 0, 0, 8, 0, -28, 0, 0, 0, 0, 0, 0, 0, -96, 0, -112, 0, 0, 0, 0, 0, 0, 0, 20, 0, -16, 0, 0, 0, 0, 0, 0, 0, -28, 0, -4, 0, 0, 0, 0, 0, 0, 0, 52, 0, -92, 0, 0, 0, 0, 0, 0, 0, 2, 0, -116, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 40, 0, 0, 0, 0, 0, 0, 0, -60, 0, -12, 0, 0, 0, 0, 0, 0, 0, 12, 0, 4, 0, 0, 0, 0, 0, 0, 0, 96, 0, -64, 0, 0, 0, 0, 0, 0, 0, 14, 0, 80, 0, 0, 0, 0, 0, 0, 0, -16, 0, 40, 0, 0, 0, 0, 0, 0, 0, -52, 0, 24, 0, 0, 0, 0, 0, 0, 0, -68, 0, -32, 0, 0, 0, 0, 0, 0, 0, -28, 0, -48, 0, 0, 0, 0, 0, 0, 0, 48, 0, 24, 0, 0, 0, 0, 0, 0, 0, -48, 0, 88, 0, 0, 0, 0, 0, 0, 0, 8, 0, -24, 0, 0, 0, 0, 0, 0, 0, 32, 0, -64, 0, 0, 0, 0, 0, 0, 0, -24, 0, -4, 0, 0, 0, 0, 0, 0, 0, 120, 0, 40, 0, 0, 0, 0, 0, 0, 0, -56, 0, 28, 0, 0, 0, 0, 0, 0, 0, -16, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -12, 0, -84, 0, 0, 0, 0, 0, 0, 0, -16, 0, 16, 0, 0, 0, 0, 0, 0, 0, -60, 0, 4, 0, 0, 0, 0, 0, 0, 0, 80, 0, -64, 0, 0, 0, 0, 0, 0, 0, -16, 0, 40, 0, 0, 0, 0, 0, 0, 0, -132, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 0, 60, 0, 0, 0, 0, 0, 0, 0, 48, 0, 36, 0, 0, 0, 0, 0, 0, 0, 8, 0, -16, 0, 0, 0, 0, 0, 0, 0, 24, 0, -4, 0, 0, 0, 0, 0, 0, 0, -32, 0, 72, 0, 0, 0, 0, 0, 0, 0, -64, 0, 36, 0, 0, 0, 0, 0, 0, 0, 40, 0, -28, 0, 0, 0, 0, 0, 0, 0, 8, 0, -92, 0, 0, 0, 0, 0, 0, 0, -126, 0, -44, 0, 0, 0, 0, 0, 0, 0, -24, 0, 76, 0, 0, 0, 0, 0, 0, 0, 16, 0, 32, 0, 0, 0, 0, 0, 0, 0, 36, 0, 40, 0, 0, 0, 0, 0, 0, 0, 132, 0, -48, 0, 0, 0, 0, 0, 0, 0, -48, 0, 12, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, -48, 0, 0, 0, 0, 0, 0, 0, -8, 0, 108, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, -24, 0, 0, 0, 0, 0, 0, 0, 24, 0, -132, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, -28, 0, -76, 0, 0, 0, 0, 0, 0, 0, -24, 0, 128, 0, 0, 0, 0, 0, 0, 0, -16, 0, 72, 0, 0, 0, 0, 0, 0, 0, -32, 0, 64, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -202, 0, 40, 0, 0, 0, 0, 0, 0, 0, 12, 0, -124, 0, 0, 0, 0, 0, 0, 0, 4, 0, -108, 0, 0, 0, 0, 0, 0, 0, -44, 0, -8, 0, 0, 0, 0, 0, 0, 0, 60, 0, 8, 0, 0, 0, 0, 0, 0, 0, -40, 0, 92, 0, 0, 0, 0, 0, 0, 0, 96, 0, -8, 0, 0, 0, 0, 0, 0, 0, 24, 0, 16, 0, 0, 0, 0, 0, 0, 0, 32, 0, 120, 0, 0, 0, 0, 0, 0, 0, 44, 0, 64, 0, 0, 0, 0, 0, 0, 0, -140, 0, 4, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, -8, 0, 0, 0, 0, 0, 0, 0, -80, 0, -8, 0, 0, 0, 0, 0, 0, 0, -16, 0, 88, 0, 0, 0, 0, 0, 0, 0, -88, 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], [0.0, 0.0], [0.0, 0.0], [0.0, -0.37796447300922725], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.0, 0.0], [-0.6030226891555273, 0.0], [0.0, 0.0], [0.0, 1.1094003924504583], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.48507125007266594], [0.0, 0.0], [-0.45883146774112354, 0.0], [0.0, 0.0], [-0.2182178902359924, 0.0], [0.0, 0.0], [0.0, 0.8340576562282991], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.19245008972987526], [0.0, 0.0], [-1.1141720290623112, 0.0], [0.0, 0.0], [-0.3592106040535498, 0.0], [0.0, 0.0], [0.0, 0.3481553119113957], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.643989873053573], [0.0, 0.0], [0.6405126152203485, 0.0], [0.0, 0.0], [-1.5617376188860606, 0.0], [0.0, 0.0], [0.0, 1.829982843991256], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.1669199319831565], [0.0, 0.0], [-0.14285714285714285, 0.0], [0.0, 0.0], [-0.28005601680560194, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], 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• 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': 8400, 'analytic_conductor': 16.76858442446888, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 2, 'char_parity': 1, 'char_values': [2100, 2, [1051, 701, 1177, 1501], [2, 2, 1, 2]], 'conrey_index': 1849, 'cusp_dim': 444, 'dim': 20, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [11, 13, 17], 'hecke_orbit_code': 687228323892, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'label': '2100.2.k', 'level': 2100, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'mf_dim': 516, 'mf_new_dim': 20, 'num_forms': 10, 'prim_orbit_index': 2, 'relative_dim': 20, 'sturm_bound': 960, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [20, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 4, 0, 0, 0, 0, 0, 0, 0, -16, 0, -16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 24, 0, 0, 0, 0, 0, 0, 0, -20, 0, 8, 0, 0, 0, 0, 0, 0, 0, 8, 0, 24, 0, 0, 0, 0, 0, 0, 0, 8, 0, 16, 0, 0, 0, 0, 0, 0, 0, 40, 0, 20, 0, 0, 0, 0, 0, 0, 0, 16, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -32, 0, -16, 0, 0, 0, 0, 0, 0, 0, 16, 0, -20, 0, 0, 0, 0, 0, 0, 0, 16, 0, 8, 0, 0, 0, 0, 0, 0, 0, -8, 0, 16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 8, 0, 0, 0, 0, 0, 0, 0, -16, 0, 16, 0, 0, 0, 0, 0, 0, 0, -28, 0, -8, 0, 0, 0, 0, 0, 0, 0, -40, 0, 32, 0, 0, 0, 0, 0, 0, 0, -4, 0, -8, 0, 0, 0, 0, 0, 0, 0, 48, 0, -32, 0, 0, 0, 0, 0, 0, 0, -72, 0, 80, 0, 0, 0, 0, 0, 0, 0, -16, 0, 112, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -16, 0, 16, 0, 0, 0, 0, 0, 0, 0, 8, 0, -24, 0, 0, 0, 0, 0, 0, 0, 16, 0, -32, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 16, 0, 0, 0, 0, 0, 0, 0, -32, 0, -88, 0, 0, 0, 0, 0, 0, 0, 88, 0, -48, 0, 0, 0, 0, 0, 0, 0, 24, 0, -8, 0, 0, 0, 0, 0, 0, 0, 72, 0, -144, 0, 0, 0, 0, 0, 0, 0, 144, 0, -16, 0, 0, 0, 0, 0, 0, 0, 128, 0, -76, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, -32, 0, 0, 0, 0, 0, 0, 0, -112, 0, -72, 0, 0, 0, 0, 0, 0, 0, -16, 0, -112, 0, 0, 0, 0, 0, 0, 0, -32, 0, 64, 0, 0, 0, 0, 0, 0, 0, -96, 0, -48, 0, 0, 0, 0, 0, 0, 0, 16, 0, -24, 0, 0, 0, 0, 0, 0, 0, -8, 0, 20, 0, 0, 0, 0, 0, 0, 0, 128, 0, -80, 0, 0, 0, 0, 0, 0, 0, -8, 0, -48, 0, 0, 0, 0, 0, 0, 0, -16, 0, 16, 0, 0, 0, 0, 0, 0, 0, 56, 0, 72, 0, 0, 0, 0, 0, 0, 0, 96, 0, -64, 0, 0, 0, 0, 0, 0, 0, -112, 0, -48, 0, 0, 0, 0, 0, 0, 0, 128, 0, -8, 0, 0, 0, 0, 0, 0, 0, -56, 0, 120, 0, 0, 0, 0, 0, 0, 0, 68, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 56, 0, 0, 0, 0, 0, 0, 0, -40, 0, 96, 0, 0, 0, 0, 0, 0, 0, 64, 0, -24, 0, 0, 0, 0, 0, 0, 0, -80, 0, -96, 0, 0, 0, 0, 0, 0, 0, -80, 0, -24, 0, 0, 0, 0, 0, 0, 0, -64, 0, 8, 0, 0, 0, 0, 0, 0, 0, -32, 0, -112, 0, 0, 0, 0, 0, 0, 0, 8, 0, -8, 0, 0, 0, 0, 0, 0, 0, -280, 0, 88, 0, 0, 0, 0, 0, 0, 0, -16, 0, 80, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136, 0, 96, 0, 0, 0, 0, 0, 0, 0, -16, 0, 320, 0, 0, 0, 0, 0, 0, 0, 80, 0, 32, 0, 0, 0, 0, 0, 0, 0, -288, 0, -160, 0, 0, 0, 0, 0, 0, 0, 216, 0, -136, 0, 0, 0, 0, 0, 0, 0, -152, 0, -40, 0, 0, 0, 0, 0, 0, 0, -16, 0, 40, 0, 0, 0, 0, 0, 0, 0, -20, 0, -72, 0, 0, 0, 0, 0, 0, 0, 104, 0, -64, 0, 0, 0, 0, 0, 0, 0, 16, 0, 16, 0, 0, 0, 0, 0, 0, 0, -96, 0, 40, 0, 0, 0, 0, 0, 0, 0, -8, 0, -56, 0, 0, 0, 0, 0, 0, 0, 224, 0, -24, 0, 0, 0, 0, 0, 0, 0, 40, 0, -16, 0, 0, 0, 0, 0, 0, 0, -32, 0, -16, 0, 0, 0, 0, 0, 0, 0, -80, 0, -144, 0, 0, 0, 0, 0, 0, 0, -8, 0, 168, 0, 0, 0, 0, 0, 0, 0, 64, 0, 128, 0, 0, 0, 0, 0, 0, 0, -200, 0, -156, 0, 0, 0, 0, 0, 0, 0, -128, 0, -40, 0, 0, 0, 0, 0, 0, 0, -16, 0, 8, 0, 0, 0, 0, 0, 0, 0, 296, 0, 216, 0, 0, 0, 0, 0, 0, 0, 168, 0, 72, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, -32, 0, 0, 0, 0, 0, 0, 0, 16, 0, 48, 0, 0, 0, 0, 0, 0, 0, 152, 0, -16, 0, 0, 0, 0, 0, 0, 0, -32, 0, -8, 0, 0, 0, 0, 0, 0, 0, -96, 0, 296, 0, 0, 0, 0, 0, 0, 0, 16, 0, -88, 0, 0, 0, 0, 0, 0, 0, 80, 0, 276, 0, 0, 0, 0, 0, 0, 0, 64, 0, -104, 0, 0, 0, 0, 0, 0, 0, 136, 0, 32, 0, 0, 0, 0, 0, 0, 0, -24, 0, -8, 0, 0, 0, 0, 0, 0, 0, 16, 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: 41194251
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1849, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007886483064884, 'target_is_minimal': False, 'target_label': '2100.2.k.c.1849.1', 'target_level': 2100, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41194252
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 6049, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043882756774044, 'target_is_minimal': False, 'target_label': '6300.2.k.m.6049.1', 'target_level': 6300, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41194253
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660925348, 'target_is_minimal': True, 'target_label': '420.2.a.b.1.1', 'target_level': 420, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41194254
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307261492, 'target_is_minimal': False, 'target_label': '2100.2.a.k.1.1', 'target_level': 2100, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41194255
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1849, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007886483064884, 'target_is_minimal': False, 'target_label': '2100.2.k.c.1849.2', 'target_level': 2100, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 41194256
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543037676, 'target_is_minimal': False, 'target_label': '1260.2.a.e.1.1', 'target_level': 1260, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41194257
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595934636188, 'target_is_minimal': False, 'target_label': '6300.2.a.l.1.1', 'target_level': 6300, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 41194258
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 6049, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54043882756774044, 'target_is_minimal': False, 'target_label': '6300.2.k.m.6049.2', 'target_level': 6300, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 41194259
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 126100789599936720, 'target_is_minimal': False, 'target_label': '8400.2.a.bc.1.1', 'target_level': 8400, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41194260
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561193698854544, 'target_is_minimal': False, 'target_label': '1680.2.a.r.1.1', 'target_level': 1680, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 41194261
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 361, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45037095818890108, 'target_is_minimal': False, 'target_label': '2940.2.q.k.361.1', 'target_level': 2940, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '35.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41194262
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 361, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27022697309408124, 'target_is_minimal': False, 'target_label': '2940.2.q.g.361.1', 'target_level': 2940, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '35.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 41194263
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 961, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27022697309408124, 'target_is_minimal': False, 'target_label': '2940.2.q.g.961.1', 'target_level': 2940, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '35.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 41194264
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797780348, 'target_is_minimal': False, 'target_label': '2940.2.a.g.1.1', 'target_level': 2940, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '35.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 41194265
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 961, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45037095818890108, 'target_is_minimal': False, 'target_label': '2940.2.q.k.961.1', 'target_level': 2940, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '35.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 41194266
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915672640, 'target_is_minimal': False, 'target_label': '6720.2.a.d.1.1', 'target_level': 6720, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '40.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 41194267
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 202661983265233472, 'target_is_minimal': False, 'target_label': '6720.2.a.bt.1.1', 'target_level': 6720, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '40.37', 'twisting_conrey_index': 37, 'weight': 2}
  • id: 41194268
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288300464, 'target_is_minimal': False, 'target_label': '5040.2.a.c.1.1', 'target_level': 5040, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 41194269
    {'conductor': 105, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1849, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007886483064884, 'source_is_minimal': False, 'source_label': '2100.2.k.c.1849.1', 'source_level': 2100, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103582791463084660, 'target_is_minimal': False, 'target_label': '8820.2.a.x.1.1', 'target_level': 8820, 'twist_class_label': '420.2.a.b.1.1', 'twist_class_level': 420, 'twisting_char_label': '105.62', 'twisting_conrey_index': 62, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2422525
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 2}
  • id: 2422526
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 3}
  • id: 2422527
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 5}
  • id: 2422528
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 7}
  • id: 2422529
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 11}
  • id: 2422530
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 13}
  • id: 2422531
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 17}
  • id: 2422532
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 19}
  • id: 2422533
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 23}
  • id: 2422534
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 29}
  • id: 2422535
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 31}
  • id: 2422536
    {'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 37}
  • id: 2422537
    {'charpoly_factorization': [[[10, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 41}
  • id: 2422538
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 43}
  • id: 2422539
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 47}
  • id: 2422540
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 53}
  • id: 2422541
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 59}
  • id: 2422542
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 61}
  • id: 2422543
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 67}
  • id: 2422544
    {'charpoly_factorization': [[[10, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 71}
  • id: 2422545
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 73}
  • id: 2422546
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 79}
  • id: 2422547
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, 'p': 83}
  • id: 2422548
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 9007886483064884, 'p': 89}
  • id: 2422549
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 9007886483064884, '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': '2100.2.k.c', 'level': 2100, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31379227
    {'hecke_orbit_code': 9007886483064884, 'n': 1, 'trace_an': 2}
  • id: 31379228
    {'hecke_orbit_code': 9007886483064884, 'n': 2, 'trace_an': 0}
  • id: 31379229
    {'hecke_orbit_code': 9007886483064884, 'n': 3, 'trace_an': 0}
  • id: 31379230
    {'hecke_orbit_code': 9007886483064884, 'n': 4, 'trace_an': 0}
  • id: 31379231
    {'hecke_orbit_code': 9007886483064884, 'n': 5, 'trace_an': 0}
  • id: 31379232
    {'hecke_orbit_code': 9007886483064884, 'n': 6, 'trace_an': 0}
  • id: 31379233
    {'hecke_orbit_code': 9007886483064884, 'n': 7, 'trace_an': 0}
  • id: 31379234
    {'hecke_orbit_code': 9007886483064884, 'n': 8, 'trace_an': 0}
  • id: 31379235
    {'hecke_orbit_code': 9007886483064884, 'n': 9, 'trace_an': -2}
  • id: 31379236
    {'hecke_orbit_code': 9007886483064884, 'n': 10, 'trace_an': 0}
  • id: 31379237
    {'hecke_orbit_code': 9007886483064884, 'n': 11, 'trace_an': -4}
  • id: 31379238
    {'hecke_orbit_code': 9007886483064884, 'n': 12, 'trace_an': 0}
  • id: 31379239
    {'hecke_orbit_code': 9007886483064884, 'n': 13, 'trace_an': 0}
  • id: 31379240
    {'hecke_orbit_code': 9007886483064884, 'n': 14, 'trace_an': 0}
  • id: 31379241
    {'hecke_orbit_code': 9007886483064884, 'n': 15, 'trace_an': 0}
  • id: 31379242
    {'hecke_orbit_code': 9007886483064884, 'n': 16, 'trace_an': 0}
  • id: 31379243
    {'hecke_orbit_code': 9007886483064884, 'n': 17, 'trace_an': 0}
  • id: 31379244
    {'hecke_orbit_code': 9007886483064884, 'n': 18, 'trace_an': 0}
  • id: 31379245
    {'hecke_orbit_code': 9007886483064884, 'n': 19, 'trace_an': -4}
  • id: 31379246
    {'hecke_orbit_code': 9007886483064884, 'n': 20, 'trace_an': 0}
  • id: 31379247
    {'hecke_orbit_code': 9007886483064884, 'n': 21, 'trace_an': -2}
  • id: 31379248
    {'hecke_orbit_code': 9007886483064884, 'n': 22, 'trace_an': 0}
  • id: 31379249
    {'hecke_orbit_code': 9007886483064884, 'n': 23, 'trace_an': 0}
  • id: 31379250
    {'hecke_orbit_code': 9007886483064884, 'n': 24, 'trace_an': 0}
  • id: 31379251
    {'hecke_orbit_code': 9007886483064884, 'n': 25, 'trace_an': 0}
  • id: 31379252
    {'hecke_orbit_code': 9007886483064884, 'n': 26, 'trace_an': 0}
  • id: 31379253
    {'hecke_orbit_code': 9007886483064884, 'n': 27, 'trace_an': 0}
  • id: 31379254
    {'hecke_orbit_code': 9007886483064884, 'n': 28, 'trace_an': 0}
  • id: 31379255
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  • id: 31379256
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  • id: 31379257
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  • id: 31379258
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  • id: 31379259
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  • id: 31379260
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  • id: 31379261
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  • id: 31379262
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  • id: 31379263
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  • id: 31379264
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  • id: 31379265
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  • id: 31379266
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  • id: 31379267
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  • id: 31379268
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  • id: 31379269
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  • id: 31379270
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  • id: 31379271
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  • id: 31379272
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  • id: 31379273
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  • id: 31379274
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  • id: 31379275
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  • id: 31379276
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  • id: 31379277
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  • id: 31379278
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  • id: 31379279
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  • id: 31379280
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  • id: 31379281
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  • id: 31379282
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  • id: 31379283
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  • id: 31379284
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  • id: 31379285
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  • id: 31379286
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  • id: 31379287
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  • id: 31379288
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  • id: 31379289
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  • id: 31379290
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  • id: 31379291
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  • id: 31379292
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  • id: 31379293
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  • id: 31379294
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  • id: 31379295
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  • id: 31379296
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  • id: 31379297
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  • id: 31379298
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  • id: 31379299
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  • id: 31379300
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  • id: 31379301
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  • id: 31379302
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  • id: 31379303
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  • id: 31379304
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  • id: 31379305
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  • id: 31379306
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  • id: 31379307
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  • id: 31379308
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  • id: 31379309
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  • id: 31379310
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  • id: 31379311
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  • id: 31379312
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  • id: 31379313
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  • id: 31379314
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  • id: 31379315
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  • id: 31379316
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  • id: 31379317
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  • id: 31379318
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  • id: 31379319
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  • id: 31379320
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  • id: 31379321
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  • id: 31379322
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  • id: 31379323
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  • id: 31379324
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  • id: 31379325
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  • id: 31379326
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  • id: 31379327
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  • id: 31379328
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  • id: 31379329
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  • id: 31379330
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  • id: 31379331
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  • id: 31379332
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  • id: 31379333
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  • id: 31379334
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  • id: 31379335
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  • id: 31379336
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  • id: 31379337
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  • id: 31379338
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  • id: 31379339
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  • id: 31379340
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  • id: 31379341
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  • id: 31379342
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  • id: 31379343
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  • id: 31379344
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  • id: 31379345
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  • id: 31379346
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  • id: 31379347
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  • id: 31379348
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  • id: 31379349
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  • id: 31379350
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  • id: 31379351
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  • id: 31379352
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  • id: 31379353
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  • id: 31379354
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  • id: 31379355
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  • id: 31379356
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  • id: 31379357
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  • id: 31379358
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  • id: 31379359
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  • id: 31379360
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  • id: 31379361
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  • id: 31379362
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  • id: 31379363
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  • id: 31379364
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  • id: 31379365
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  • id: 31379366
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  • id: 31379367
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  • id: 31379368
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  • id: 31379369
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  • id: 31379370
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  • id: 31379371
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  • id: 31379372
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  • id: 31379373
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  • id: 31379374
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  • id: 31379375
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  • id: 31379376
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  • id: 31379377
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  • id: 31379378
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  • id: 31379379
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  • id: 31379380
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  • id: 31379381
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  • id: 31379382
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  • id: 31379383
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  • id: 31379384
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  • id: 31379385
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  • id: 31379386
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  • id: 31379387
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  • id: 31379388
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  • id: 31379389
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  • id: 31379390
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  • id: 31379391
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  • id: 31379392
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  • id: 31379393
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  • id: 31379394
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  • id: 31379395
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  • id: 31379396
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  • id: 31379397
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  • id: 31379398
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  • id: 31379399
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  • id: 31379400
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  • id: 31379401
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  • id: 31379402
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  • id: 31379403
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  • id: 31379404
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  • id: 31379405
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  • id: 31379406
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  • id: 31379407
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  • id: 31379408
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  • id: 31379409
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  • id: 31379410
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  • id: 31379411
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  • id: 31379412
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  • id: 31379413
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  • id: 31379414
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  • id: 31379415
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  • id: 31379416
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  • id: 31379417
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  • id: 31379418
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  • id: 31379419
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  • id: 31379420
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  • id: 31379421
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  • id: 31379422
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  • id: 31379423
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  • id: 31379424
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  • id: 31379425
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  • id: 31379426
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  • id: 31379427
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  • id: 31379428
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  • id: 31379429
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  • id: 31379430
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  • id: 31379431
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  • id: 31379432
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  • id: 31379433
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  • id: 31379434
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  • id: 31379435
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  • id: 31379436
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  • id: 31379437
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  • id: 31379438
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  • id: 31379439
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  • id: 31379440
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  • id: 31379441
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  • id: 31379442
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  • id: 31379443
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  • id: 31379444
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  • id: 31379445
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  • id: 31379446
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  • id: 31379447
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  • id: 31379448
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  • id: 31379449
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  • id: 31379450
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  • id: 31379451
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  • id: 31379452
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  • id: 31379453
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  • id: 31379454
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  • id: 31379455
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  • id: 31379456
    {'hecke_orbit_code': 9007886483064884, 'n': 821, 'trace_an': -100}
  • id: 31379457
    {'hecke_orbit_code': 9007886483064884, 'n': 823, 'trace_an': 0}
  • id: 31379458
    {'hecke_orbit_code': 9007886483064884, 'n': 827, 'trace_an': 0}
  • id: 31379459
    {'hecke_orbit_code': 9007886483064884, 'n': 829, 'trace_an': -100}
  • id: 31379460
    {'hecke_orbit_code': 9007886483064884, 'n': 839, 'trace_an': 24}
  • id: 31379461
    {'hecke_orbit_code': 9007886483064884, 'n': 841, 'trace_an': 14}
  • id: 31379462
    {'hecke_orbit_code': 9007886483064884, 'n': 853, 'trace_an': 0}
  • id: 31379463
    {'hecke_orbit_code': 9007886483064884, 'n': 857, 'trace_an': 0}
  • id: 31379464
    {'hecke_orbit_code': 9007886483064884, 'n': 859, 'trace_an': 68}
  • id: 31379465
    {'hecke_orbit_code': 9007886483064884, 'n': 863, 'trace_an': 0}
  • id: 31379466
    {'hecke_orbit_code': 9007886483064884, 'n': 877, 'trace_an': 0}
  • id: 31379467
    {'hecke_orbit_code': 9007886483064884, 'n': 881, 'trace_an': 36}
  • id: 31379468
    {'hecke_orbit_code': 9007886483064884, 'n': 883, 'trace_an': 0}
  • id: 31379469
    {'hecke_orbit_code': 9007886483064884, 'n': 887, 'trace_an': 0}
  • id: 31379470
    {'hecke_orbit_code': 9007886483064884, 'n': 907, 'trace_an': 0}
  • id: 31379471
    {'hecke_orbit_code': 9007886483064884, 'n': 911, 'trace_an': -60}
  • id: 31379472
    {'hecke_orbit_code': 9007886483064884, 'n': 919, 'trace_an': -32}
  • id: 31379473
    {'hecke_orbit_code': 9007886483064884, 'n': 929, 'trace_an': 28}
  • id: 31379474
    {'hecke_orbit_code': 9007886483064884, 'n': 937, 'trace_an': 0}
  • id: 31379475
    {'hecke_orbit_code': 9007886483064884, 'n': 941, 'trace_an': 60}
  • id: 31379476
    {'hecke_orbit_code': 9007886483064884, 'n': 947, 'trace_an': 0}
  • id: 31379477
    {'hecke_orbit_code': 9007886483064884, 'n': 953, 'trace_an': 0}
  • id: 31379478
    {'hecke_orbit_code': 9007886483064884, 'n': 961, 'trace_an': -54}
  • id: 31379479
    {'hecke_orbit_code': 9007886483064884, 'n': 967, 'trace_an': 0}
  • id: 31379480
    {'hecke_orbit_code': 9007886483064884, 'n': 971, 'trace_an': -48}
  • id: 31379481
    {'hecke_orbit_code': 9007886483064884, 'n': 977, 'trace_an': 0}
  • id: 31379482
    {'hecke_orbit_code': 9007886483064884, 'n': 983, 'trace_an': 0}
  • id: 31379483
    {'hecke_orbit_code': 9007886483064884, 'n': 991, 'trace_an': -112}
  • id: 31379484
    {'hecke_orbit_code': 9007886483064884, 'n': 997, 'trace_an': 0}