Embedded newform data - 2394.2.e.d.1063.11

Formats: - HTML - YAML - JSON - 2026-01-01T05:13:53.670210

• 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': 9576, 'analytic_conductor': 19.116186243894525, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 133, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': 1, 'char_values': [2394, 2, [533, 1711, 1009], [2, 1, 1]], 'cm_discs': [], 'conrey_index': 1063, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [8, 0, 28, 0, 12, 0, 1]], [13, [-72, 0, 140, 0, -44, 0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511073793575258, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 19, 2, -1, 2, 0], [1, 1, 21, 3, 1, 2, 0], [1, 1, 57, 4, 1, 2, 0], [1, 1, 133, 3, 1, 2, 0], [1, 1, 399, 8, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2394.2.e.d', 'level': 2394, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 19], 'level_radical': 798, 'minimal_twist': '2394.2.e.d', 'prim_orbit_index': 3, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2394.2.e', 'trace_display': [0, 0, 0, -8], 'traces': [24, 0, 0, -24, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, -32, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -16, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -128, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, -192, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 16, 0, 0, -224, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 80, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, -240, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -344, 0, 0, 0, 0, 0, -224, 0, 0, -384, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -224, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -608, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, -592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, -448, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 400, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -160, 0, 0, -728, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 144, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 48, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, -24, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, -32, 0, 0, -160, 0, 0, 768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -224, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, -456, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, -688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -624, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, -880, 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, 0.7071067811865476], [0.0, 0.0], [-0.5, 0.0], [0.0, -1.3402781226836513], [0.0, 0.0], [-0.26969198956242335, 0.962946639625406], [0.0, -0.3535533905932738], [0.0, 0.0], [0.9477197492255853, 0.0], [-0.5126311165696112, 0.0], [0.0, 0.0], [0.46102909866289715, 0.0], [-0.6809060987999233, -0.19070103465128116], [0.0, 0.0], [0.25, 0.0], [0.0, -1.0836608559291896], [0.0, 0.0], [0.4905917012870758, 0.8713895699560861], [0.0, 0.6701390613418257], [0.0, 0.0], [0.0, -0.3624849387736036], [-0.10155574749134225, 0.0], [0.0, 0.0], [-0.7963454461444128, 0.0], [0.0, 0.32599680198885644], [0.0, 0.0], [0.13484599478121168, -0.481473319812703], [0.0, -0.2650013362722244], [0.0, 0.0], [-0.5726035905548174, 0.0], [0.0, 0.1767766952966369], [0.0, 0.0], [0.7662639397339484, 0.0], [1.2906163144016698, 0.3614622734735437], [0.0, 0.0], [0.0, -1.5918949093852246], [-0.6161654739711779, 0.3469007187739364], [0.0, 0.0], [-0.47385987461279266, 0.0], [0.5678143662912942, 0.0], [0.0, 0.0], [-0.6723361697284311, 0.0], [0.2563155582848056, 0.0], [0.0, 0.0], [0.0, -0.07181075771959682], [0.0, 0.4092656763176394], [0.0, 0.0], [-0.8545324615317235, -0.5193979901660514], [0.0, -0.5631012651357409], [0.0, 0.0], [-0.23051454933144858, 0.0], [0.0, -1.1725617774089625], [0.0, 0.0], [0.0, 0.6870682705451426], [0.3404530493999616, 0.09535051732564058], [0.0, 0.0], [0.18738424190158645, 0.0], [-1.1790229200750175, 0.0], [0.0, 0.0], [0.0, 0.5071300387289782], [0.0, -0.4048918818130767], [0.0, 0.0], [-0.125, 0.0], [0.0, -0.6179072148584437], [0.0, 0.0], [0.0, 0.3267169607029303], [0.0, 0.5418304279645948], [0.0, 0.0], [-0.25559242471624904, 0.91260354782341], [0.0, -1.013081753979958], [0.0, 0.0], [0.0, -0.42553655634279436], [1.125639685362637, 0.0], [0.0, 0.0], [-0.2452958506435379, -0.43569478497804304], [0.13825250573926504, -0.49363641106812695], [0.0, 0.0], [0.0, -1.663300015889271], [0.0, -0.33506953067091283], [0.0, 0.0], [0.0, 0.4015053888597163], [0.0, 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-0.4414121057294555, -0.09813750034775215, -0.44572360850589876, 0.06443047473256903, -0.2822515751473255, -0.30744616988595747, -0.45019171195495056, -0.4978065932853436, 0.06340331409892366, -0.1971991471884771, -0.3820987329908617, 0.08805874805760144, -0.25084367557955095, 0.1565583795911155, 0.09766975908834512, -0.3228549936816241, -0.10666278980946828, -0.23240301703995217, -0.08362299202910432, -0.23214515960809423, -0.16132445598053652, -0.06068943245609998, 0.04678296063437322, -0.36858813755459013, -0.2134047745284909, 0.11593569281860278, -0.39001226460583294, -0.49207039418226706, -0.3228989780289892, -0.4776420261024608, -0.45400932064301947, -0.2198536569413133, -0.21519099817654083, 0.03428591364259578, 0.07390949053460154, -0.15663521955540397, 0.009611124363956251, -0.3887364768301236, -0.305615434778842, -0.4154296023466102, -0.3972675681789134, -0.08521748284271702, -0.4037993277822691, 0.06376876652149747, -0.31840051272149167, 0.06879486759571095, -0.45205933920446917, -0.4921771537676244, 0.09769633505985269, -0.4651662349334472, -0.19221644719681383, -0.33302872725113414, -0.08448543874825569, -0.07029650527721981, 0.13824449431047217, -0.34610993512003513, -0.2226615305777468, -0.3452115187080717, 0.029082136815197415, -0.17200467045285495, -0.3015001517809566, 0.00876474377099573, -0.2979713853719634, -0.18302994027749486, 0.019971341449690084, 0.1289223885135085, -0.34668655869946347, 0.08695484477090334, -0.39808632969312396, -0.31051531647327474, -0.05960301824692281, -0.3700465589052481, -0.10268596219777215, -0.1694212223730721, -0.43364213029495724, -0.30171565972815967, -0.20391185085057328, -0.35352167565521014, -0.3834053891551969, -0.4248224956798956, -0.31039194751329996, -0.16893000189371016, -0.12278442890490697, 0.03023560555087868, -0.3895309304435035, -0.3720310791202874, -0.4635523053267231, -0.3421496972797585, -0.3260493203457, -0.25450061803614105, 0.019400668703320228, -0.16344813187910334, -0.28740903776909565, -0.16993675246535742, -0.2499389540054462, -0.15338067972318198, -0.1410131214160063, -0.41148939106926713, -0.1569012716184866, -0.3305699772208783, -0.25997647449840944, -0.43805019605090684, -0.22407697321982586, -0.33547774560668947, -0.23735606656400157, -0.23469034815949041, -0.4747758891350551, -0.1327658405431878, -0.32341921608617624, -0.16732852181582095, -0.15718828807957752, 0.1783574695176054, 0.15572152288429641, 0.014717436282351769, 0.09329466437249265, 0.14041478289381407, -0.14910954812555224, -0.24208874512824746, -0.1810071226734239, -0.2968986819950543, -0.38466221665928907, 0.007502922866961318, -0.3530794905524601, -0.29338104647860463, 0.09806756916009228, 0.16243573884258677, -0.4070075287001036, -0.44872795175730384, -0.25487142389202716, -0.26248957213059715, -0.39598234723393555, -0.414134963076501, -0.25129281382984814, -0.2912078679592984, -0.2667205769755477, -0.3337460622415967, -0.4353342538540162, -0.18292957422238246, -0.47897997336986237, -0.4172184262645552, 0.14752097944212972, -0.37201359360377345, -0.3983342830518307, -0.49579986261119796, -0.3437455952052499, -0.46454715118864676, 0.0028803142858879133, -0.40639305334500536, -0.2515238357169181, -0.2669236270311713, 0.02690923810576902, -0.40676625112276654, -0.22401333428016412, -0.36043345630217655, -0.49484839000935943, -0.1821791017903069, 0.08532295417642913, -0.41264866810755724, 0.036498535750832214, -0.3139557382086932, -0.21953590134330644, 0.031691506849535554, -0.27977400423965293, -0.35069686944408823, -0.35114400699531245, -0.23875659326350782, 0.13757989074989632, 0.001535249452140769, -0.1472039650681543, -0.43810023642765655, 0.15330123226496822, -0.43231326035686635, -0.11258826251247624, 0.05787727212626262, 0.07725090909041721, -0.327165320059385, 0.0019568603523744104, -0.241247911646536, 0.09718865708420298, -0.46215458428217515, 0.05707677186918863, -0.3406654385803297], 'char_orbit_index': 5, 'conrey_index': 1063, 'dual_conrey_index': 1063, 'dual_embedding_index': 9, 'dual_embedding_m': 9, 'embedding_index': 11, 'embedding_m': 11, 'hecke_orbit': 4, 'hecke_orbit_code': 13511073793575258, 'label': '2394.2.e.d.1063.11', 'level': 2394, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 9576, 'analytic_conductor': 19.116186243894525, 'char_conductor': 133, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': 1, 'char_values': [2394, 2, [533, 1711, 1009], [2, 1, 1]], 'conrey_index': 1063, 'cusp_dim': 464, 'dim': 64, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 13], 'hecke_orbit_code': 274911463770, 'hecke_orbit_dims': [12, 12, 16, 24], 'label': '2394.2.e', 'level': 2394, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 19], 'level_radical': 798, 'mf_dim': 496, 'mf_new_dim': 64, 'num_forms': 4, 'prim_orbit_index': 3, 'relative_dim': 64, 'sturm_bound': 960, 'trace_bound': 10, 'trace_display': [0, 0, 0, -2], 'traces': [64, 0, 0, -64, 0, 0, -2, 0, 0, 0, -12, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 4, 0, -28, 0, 0, 2, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 28, 12, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, -4, 0, 0, 76, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, -2, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 4, -60, 0, 0, 48, 0, 0, 16, 0, -20, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 30, 0, -60, 0, 0, 0, 0, 0, 100, 0, 0, -28, 0, 0, -114, -12, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 6, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -16, 44, 0, 80, 0, 0, 0, -20, 0, 0, 0, 0, 0, -12, 0, -16, 0, 0, 0, 0, 0, -64, -52, 0, 64, 0, 0, 0, 0, 0, 0, 48, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 20, 120, 0, 0, 376, 0, 0, 12, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 4, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 204, 0, -92, 0, 0, 0, 8, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, -88, 8, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, -40, 0, 0, -138, 0, 0, 0, -188, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, -220, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 92, 76, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 72, 0, 0, 180, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 140, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, -4, -8, 0, 0, 60, 0, 0, 352, 0, 40, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, -100, 0, 0, -12, -388, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -8, 172, 0, 0, 0, 0, 92, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 332, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 208, 20, 0, 64, 0, 0, 0, -112, 0, 0, 0, 0, 0, -30, 0, 44, 0, 0, 0, 0, 0, 60, 336, 0, -216, 0, 0, 0, 0, 0, 0, -140, 0, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, -100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 114, 72, 0, 0, 12, 0, 0, -140, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -58, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 212, 0, 0, 94, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, -84, 0, 0, 0, 0, 0, 108, 0, 0, -268, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, -6, 264, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, -312, 0, 0, 164, 0, 0, 0, -296, 0, 0, 0, 0, 376, 0, 0, 0, 0, 0, 0, -128, 0, 52, 0, 0, -126, 0, 0, 0, 0, 0, 0, -434, 0, 0, 0, 0, 0, 0, 0, 96, 180, 0, 0, 0, 0, -194, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -564, 0, 0, 0, 0, 0, 0, 400, 0, 0, 112, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 0, 548, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 104, -44, 0, 0, 512, 0, 0, 122, 0, -80, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, -262, 0, -384, 0, 0, 0, 0, 0, -40, 0, 0, -80, 0, 0, 180, -236, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 16, -608, 0, 0, 0, 0, 0, -388, 0, 0, 0, 0, 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: 43202130
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1063, 'source_dim': 24, 'source_embedding_index': 11, 'source_hecke_orbit_code': 13511073793575258, 'source_is_minimal': True, 'source_label': '2394.2.e.d.1063.11', 'source_level': 2394, 'target_conrey_index': 1063, 'target_dim': 24, 'target_embedding_index': 11, 'target_hecke_orbit_code': 13511073793575258, 'target_is_minimal': True, 'target_label': '2394.2.e.d.1063.11', 'target_level': 2394, 'twist_class_label': '2394.2.e.d.1063.9', 'twist_class_level': 2394, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 43202131
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1063, 'source_dim': 24, 'source_embedding_index': 11, 'source_hecke_orbit_code': 13511073793575258, 'source_is_minimal': True, 'source_label': '2394.2.e.d.1063.11', 'source_level': 2394, 'target_conrey_index': 1063, 'target_dim': 24, 'target_embedding_index': 18, 'target_hecke_orbit_code': 13511073793575258, 'target_is_minimal': True, 'target_label': '2394.2.e.d.1063.18', 'target_level': 2394, 'twist_class_label': '2394.2.e.d.1063.9', 'twist_class_level': 2394, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43202132
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1063, 'source_dim': 24, 'source_embedding_index': 11, 'source_hecke_orbit_code': 13511073793575258, 'source_is_minimal': True, 'source_label': '2394.2.e.d.1063.11', 'source_level': 2394, 'target_conrey_index': 1063, 'target_dim': 24, 'target_embedding_index': 19, 'target_hecke_orbit_code': 13511073793575258, 'target_is_minimal': True, 'target_label': '2394.2.e.d.1063.19', 'target_level': 2394, 'twist_class_label': '2394.2.e.d.1063.9', 'twist_class_level': 2394, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 43202133
    {'conductor': 19, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1063, 'source_dim': 24, 'source_embedding_index': 11, 'source_hecke_orbit_code': 13511073793575258, 'source_is_minimal': True, 'source_label': '2394.2.e.d.1063.11', 'source_level': 2394, 'target_conrey_index': 1063, 'target_dim': 24, 'target_embedding_index': 17, 'target_hecke_orbit_code': 13511073793575258, 'target_is_minimal': True, 'target_label': '2394.2.e.d.1063.17', 'target_level': 2394, 'twist_class_label': '2394.2.e.d.1063.9', 'twist_class_level': 2394, 'twisting_char_label': '19.18', 'twisting_conrey_index': 18, 'weight': 2}
  • id: 43202134
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1063, 'source_dim': 24, 'source_embedding_index': 11, 'source_hecke_orbit_code': 13511073793575258, 'source_is_minimal': True, 'source_label': '2394.2.e.d.1063.11', 'source_level': 2394, 'target_conrey_index': 1063, 'target_dim': 24, 'target_embedding_index': 10, 'target_hecke_orbit_code': 13511073793575258, 'target_is_minimal': True, 'target_label': '2394.2.e.d.1063.10', 'target_level': 2394, 'twist_class_label': '2394.2.e.d.1063.9', 'twist_class_level': 2394, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 43202135
    {'conductor': 57, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1063, 'source_dim': 24, 'source_embedding_index': 11, 'source_hecke_orbit_code': 13511073793575258, 'source_is_minimal': True, 'source_label': '2394.2.e.d.1063.11', 'source_level': 2394, 'target_conrey_index': 1063, 'target_dim': 24, 'target_embedding_index': 12, 'target_hecke_orbit_code': 13511073793575258, 'target_is_minimal': True, 'target_label': '2394.2.e.d.1063.12', 'target_level': 2394, 'twist_class_label': '2394.2.e.d.1063.9', 'twist_class_level': 2394, 'twisting_char_label': '57.56', 'twisting_conrey_index': 56, 'weight': 2}
  • id: 43202136
    {'conductor': 133, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1063, 'source_dim': 24, 'source_embedding_index': 11, 'source_hecke_orbit_code': 13511073793575258, 'source_is_minimal': True, 'source_label': '2394.2.e.d.1063.11', 'source_level': 2394, 'target_conrey_index': 1063, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 13511073793575258, 'target_is_minimal': True, 'target_label': '2394.2.e.d.1063.9', 'target_level': 2394, 'twist_class_label': '2394.2.e.d.1063.9', 'twist_class_level': 2394, 'twisting_char_label': '133.132', 'twisting_conrey_index': 132, 'weight': 2}
  • id: 43202137
    {'conductor': 399, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1063, 'source_dim': 24, 'source_embedding_index': 11, 'source_hecke_orbit_code': 13511073793575258, 'source_is_minimal': True, 'source_label': '2394.2.e.d.1063.11', 'source_level': 2394, 'target_conrey_index': 1063, 'target_dim': 24, 'target_embedding_index': 20, 'target_hecke_orbit_code': 13511073793575258, 'target_is_minimal': True, 'target_label': '2394.2.e.d.1063.20', 'target_level': 2394, 'twist_class_label': '2394.2.e.d.1063.9', 'twist_class_level': 2394, 'twisting_char_label': '399.398', 'twisting_conrey_index': 398, 'weight': 2}
• hecke_orbit_code 13511073793575258 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 5, 'hecke_orbit': 4, 'label': '2394.2.e.d', 'level': 2394, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 36490723
    {'hecke_orbit_code': 13511073793575258, 'n': 1, 'trace_an': 24}
  • id: 36490724
    {'hecke_orbit_code': 13511073793575258, 'n': 2, 'trace_an': 0}
  • id: 36490725
    {'hecke_orbit_code': 13511073793575258, 'n': 3, 'trace_an': 0}
  • id: 36490726
    {'hecke_orbit_code': 13511073793575258, 'n': 4, 'trace_an': -24}
  • id: 36490727
    {'hecke_orbit_code': 13511073793575258, 'n': 5, 'trace_an': 0}
  • id: 36490728
    {'hecke_orbit_code': 13511073793575258, 'n': 6, 'trace_an': 0}
  • id: 36490729
    {'hecke_orbit_code': 13511073793575258, 'n': 7, 'trace_an': -8}
  • id: 36490730
    {'hecke_orbit_code': 13511073793575258, 'n': 8, 'trace_an': 0}
  • id: 36490731
    {'hecke_orbit_code': 13511073793575258, 'n': 9, 'trace_an': 0}
  • id: 36490732
    {'hecke_orbit_code': 13511073793575258, 'n': 10, 'trace_an': 0}
  • id: 36490733
    {'hecke_orbit_code': 13511073793575258, 'n': 11, 'trace_an': 0}
  • id: 36490734
    {'hecke_orbit_code': 13511073793575258, 'n': 12, 'trace_an': 0}
  • id: 36490735
    {'hecke_orbit_code': 13511073793575258, 'n': 13, 'trace_an': 0}
  • id: 36490736
    {'hecke_orbit_code': 13511073793575258, 'n': 14, 'trace_an': 0}
  • id: 36490737
    {'hecke_orbit_code': 13511073793575258, 'n': 15, 'trace_an': 0}
  • id: 36490738
    {'hecke_orbit_code': 13511073793575258, 'n': 16, 'trace_an': 24}
  • id: 36490739
    {'hecke_orbit_code': 13511073793575258, 'n': 17, 'trace_an': 0}
  • id: 36490740
    {'hecke_orbit_code': 13511073793575258, 'n': 18, 'trace_an': 0}
  • id: 36490741
    {'hecke_orbit_code': 13511073793575258, 'n': 19, 'trace_an': 0}
  • id: 36490742
    {'hecke_orbit_code': 13511073793575258, 'n': 20, 'trace_an': 0}
  • id: 36490743
    {'hecke_orbit_code': 13511073793575258, 'n': 21, 'trace_an': 0}
  • id: 36490744
    {'hecke_orbit_code': 13511073793575258, 'n': 22, 'trace_an': 0}
  • id: 36490745
    {'hecke_orbit_code': 13511073793575258, 'n': 23, 'trace_an': 0}
  • id: 36490746
    {'hecke_orbit_code': 13511073793575258, 'n': 24, 'trace_an': 0}
  • id: 36490747
    {'hecke_orbit_code': 13511073793575258, 'n': 25, 'trace_an': 24}
  • id: 36490748
    {'hecke_orbit_code': 13511073793575258, 'n': 26, 'trace_an': 0}
  • id: 36490749
    {'hecke_orbit_code': 13511073793575258, 'n': 27, 'trace_an': 0}
  • id: 36490750
    {'hecke_orbit_code': 13511073793575258, 'n': 28, 'trace_an': 8}
  • id: 36490751
    {'hecke_orbit_code': 13511073793575258, 'n': 29, 'trace_an': 0}
  • id: 36490752
    {'hecke_orbit_code': 13511073793575258, 'n': 30, 'trace_an': 0}
  • id: 36490753
    {'hecke_orbit_code': 13511073793575258, 'n': 31, 'trace_an': 0}
  • id: 36490754
    {'hecke_orbit_code': 13511073793575258, 'n': 32, 'trace_an': 0}
  • id: 36490755
    {'hecke_orbit_code': 13511073793575258, 'n': 33, 'trace_an': 0}
  • id: 36490756
    {'hecke_orbit_code': 13511073793575258, 'n': 34, 'trace_an': 0}
  • id: 36490757
    {'hecke_orbit_code': 13511073793575258, 'n': 35, 'trace_an': 0}
  • id: 36490758
    {'hecke_orbit_code': 13511073793575258, 'n': 36, 'trace_an': 0}
  • id: 36490759
    {'hecke_orbit_code': 13511073793575258, 'n': 37, 'trace_an': 0}
  • id: 36490760
    {'hecke_orbit_code': 13511073793575258, 'n': 38, 'trace_an': 0}
  • id: 36490761
    {'hecke_orbit_code': 13511073793575258, 'n': 39, 'trace_an': 0}
  • id: 36490762
    {'hecke_orbit_code': 13511073793575258, 'n': 40, 'trace_an': 0}
  • id: 36490763
    {'hecke_orbit_code': 13511073793575258, 'n': 41, 'trace_an': 0}
  • id: 36490764
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  • id: 36490765
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  • id: 36490766
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  • id: 36490767
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  • id: 36490768
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  • id: 36490769
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  • id: 36490770
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  • id: 36490771
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  • id: 36490772
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  • id: 36490773
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  • id: 36490774
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  • id: 36490775
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  • id: 36490776
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  • id: 36490777
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  • id: 36490778
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  • id: 36490779
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  • id: 36490780
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  • id: 36490781
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  • id: 36490782
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  • id: 36490783
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  • id: 36490784
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  • id: 36490785
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  • id: 36490786
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  • id: 36490787
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  • id: 36490788
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  • id: 36490789
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  • id: 36490790
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  • id: 36490791
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  • id: 36490792
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  • id: 36490793
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  • id: 36490794
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  • id: 36490795
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  • id: 36490796
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  • id: 36490797
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  • id: 36490798
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  • id: 36490799
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  • id: 36490800
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  • id: 36490801
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  • id: 36490802
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  • id: 36490803
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  • id: 36490804
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  • id: 36490805
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  • id: 36490806
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  • id: 36490807
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  • id: 36490808
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  • id: 36490809
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  • id: 36490810
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  • id: 36490811
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  • id: 36490812
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  • id: 36490813
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  • id: 36490814
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  • id: 36490815
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  • id: 36490816
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  • id: 36490817
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  • id: 36490818
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  • id: 36490819
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  • id: 36490820
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  • id: 36490821
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  • id: 36490822
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  • id: 36490823
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  • id: 36490824
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  • id: 36490825
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  • id: 36490826
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  • id: 36490827
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  • id: 36490828
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  • id: 36490829
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  • id: 36490830
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  • id: 36490831
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  • id: 36490832
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  • id: 36490833
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  • id: 36490834
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  • id: 36490835
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  • id: 36490836
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  • id: 36490837
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  • id: 36490838
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  • id: 36490839
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  • id: 36490840
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  • id: 36490841
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  • id: 36490842
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  • id: 36490843
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  • id: 36490844
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  • id: 36490845
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  • id: 36490846
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  • id: 36490847
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  • id: 36490848
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  • id: 36490849
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  • id: 36490850
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  • id: 36490851
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  • id: 36490852
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  • id: 36490853
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  • id: 36490854
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  • id: 36490855
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  • id: 36490856
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  • id: 36490857
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  • id: 36490858
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  • id: 36490859
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  • id: 36490860
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  • id: 36490861
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  • id: 36490862
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  • id: 36490863
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  • id: 36490864
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  • id: 36490865
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  • id: 36490866
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  • id: 36490867
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  • id: 36490868
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  • id: 36490869
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  • id: 36490870
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  • id: 36490871
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  • id: 36490872
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  • id: 36490873
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  • id: 36490874
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  • id: 36490875
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  • id: 36490876
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  • id: 36490877
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  • id: 36490878
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  • id: 36490879
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  • id: 36490880
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  • id: 36490881
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  • id: 36490882
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  • id: 36490883
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  • id: 36490884
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  • id: 36490885
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  • id: 36490886
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  • id: 36490887
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  • id: 36490888
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  • id: 36490889
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  • id: 36490890
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  • id: 36490891
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  • id: 36490892
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  • id: 36490893
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  • id: 36490894
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  • id: 36490895
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  • id: 36490896
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  • id: 36490897
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  • id: 36490898
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  • id: 36490899
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  • id: 36490900
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  • id: 36490901
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  • id: 36490902
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  • id: 36490903
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  • id: 36490904
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  • id: 36490905
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  • id: 36490906
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  • id: 36490907
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  • id: 36490908
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  • id: 36490909
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  • id: 36490910
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  • id: 36490911
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  • id: 36490912
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  • id: 36490913
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  • id: 36490914
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  • id: 36490915
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  • id: 36490916
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  • id: 36490917
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  • id: 36490918
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  • id: 36490919
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  • id: 36490920
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  • id: 36490921
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  • id: 36490922
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  • id: 36490923
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  • id: 36490924
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  • id: 36490925
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  • id: 36490926
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  • id: 36490927
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  • id: 36490928
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  • id: 36490929
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  • id: 36490930
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  • id: 36490931
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  • id: 36490932
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  • id: 36490933
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  • id: 36490934
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  • id: 36490935
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  • id: 36490936
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  • id: 36490937
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  • id: 36490938
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  • id: 36490939
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  • id: 36490940
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  • id: 36490941
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  • id: 36490942
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  • id: 36490943
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  • id: 36490944
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  • id: 36490945
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  • id: 36490946
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  • id: 36490947
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  • id: 36490948
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  • id: 36490949
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  • id: 36490950
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  • id: 36490951
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  • id: 36490952
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  • id: 36490953
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  • id: 36490954
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  • id: 36490955
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  • id: 36490956
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  • id: 36490957
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  • id: 36490958
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  • id: 36490959
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  • id: 36490960
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  • id: 36490961
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  • id: 36490962
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  • id: 36490963
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  • id: 36490964
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  • id: 36490965
    {'hecke_orbit_code': 13511073793575258, 'n': 887, 'trace_an': 0}
  • id: 36490966
    {'hecke_orbit_code': 13511073793575258, 'n': 907, 'trace_an': 0}
  • id: 36490967
    {'hecke_orbit_code': 13511073793575258, 'n': 911, 'trace_an': 0}
  • id: 36490968
    {'hecke_orbit_code': 13511073793575258, 'n': 919, 'trace_an': -224}
  • id: 36490969
    {'hecke_orbit_code': 13511073793575258, 'n': 929, 'trace_an': 0}
  • id: 36490970
    {'hecke_orbit_code': 13511073793575258, 'n': 937, 'trace_an': 0}
  • id: 36490971
    {'hecke_orbit_code': 13511073793575258, 'n': 941, 'trace_an': 0}
  • id: 36490972
    {'hecke_orbit_code': 13511073793575258, 'n': 947, 'trace_an': 0}
  • id: 36490973
    {'hecke_orbit_code': 13511073793575258, 'n': 953, 'trace_an': 0}
  • id: 36490974
    {'hecke_orbit_code': 13511073793575258, 'n': 961, 'trace_an': -344}
  • id: 36490975
    {'hecke_orbit_code': 13511073793575258, 'n': 967, 'trace_an': -224}
  • id: 36490976
    {'hecke_orbit_code': 13511073793575258, 'n': 971, 'trace_an': 0}
  • id: 36490977
    {'hecke_orbit_code': 13511073793575258, 'n': 977, 'trace_an': 0}
  • id: 36490978
    {'hecke_orbit_code': 13511073793575258, 'n': 983, 'trace_an': 0}
  • id: 36490979
    {'hecke_orbit_code': 13511073793575258, 'n': 991, 'trace_an': 0}
  • id: 36490980
    {'hecke_orbit_code': 13511073793575258, 'n': 997, 'trace_an': 0}