Embedded newform data - 736.5.e.d.689.1

Formats: - HTML - YAML - JSON - 2025-09-15T16:22:09.415248

• 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': 18400, 'analytic_conductor': 76.08029282970942, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 184, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': -1, 'char_values': [736, 2, [415, 645, 97], [2, 1, 1]], 'cm_discs': [-23], 'conrey_index': 689, 'dim': 6, 'field_disc': -8869743, 'field_disc_factorization': [[-1, 1], [3, 6], [23, 3]], 'field_poly': [8, 0, 0, -3, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [2125568, 0, 59049, 0, 486, 0, 1]], [5, [0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511073843905248, 'hecke_ring_generator_nbound': 29, 'hecke_ring_index': 131072, 'hecke_ring_index_factorization': [[2, 17]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 23, 2, -1, 2, -23], [1, 1, 8, 2, 1, 2, 0], [1, 1, 184, 5, -1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '736.5.e.d', 'level': 736, '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, 23], 'level_radical': 46, 'minimal_twist': '184.5.e.d', 'nf_label': '6.0.8869743.1', 'prim_orbit_index': 5, 'qexp_display': 'q-\\beta _{4}q^{3}+(-3^{4}+5\\beta _{1}+9\\beta _{3})q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '4.2.1.d2', 'self_twist_discs': [-23], 'self_twist_type': 1, 'space_label': '736.5.e', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1583883691283522671, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.979', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '535.452', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '64166.150', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.929', 'prec': 17}, 'traces': [6, 0, 0, 0, 0, 0, 0, 0, -486, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3174, 0, -3750, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14406, 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, 0, 0, 39366, 0, 0, 0, 0, 0, -50484, 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, 0, 0, 0, 0, -87846, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16716, 0, -171366, 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, 0, 0, 0, 0, 0, 0, 0, 0, -257094, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 278796, 0, 303750, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 390516, 0, 0, 0, 0, 0, 0, 0, 368844, 0, 0, 0, 0, 0, 0, 0, 0, 0, 501126, 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, 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, 0, 0, 0, -1383156, 0, 0, 0, 0, 0, 0, 0, 0, 0, -781926, 0, 0, 0, 0, 0, 0, 0, -1598604, 0, 0, 0, 0, 0, 0, 0, 1387596, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 970188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -355596, 0, 0, 0, 0, 0, -1263948, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1166886, 0, 0, 0, 0, 0, 0, 0, 442356, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2514804, 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, -1405236, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1679046, 0, 0, 0, 0, 0, 0, 0, -2510004, 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, 0, 0, 0, 0, 0, 0, 0, 0, -1983750, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3308172, 0, 3729012, 0, 0, 0, 0, 0, 3033804, 0, 0, 0, 0, 0, 0, 0, -3527412, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2343750, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1367052, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5030004, 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, 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, 0, 0, 0, -1745268, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9564762, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4089204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6083916, 0, -7725876, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5844468, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4243686, 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, 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, 9033204, 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, 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, 0, 0, 0, 0, 0, 5541126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10672500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3794676, 0, 10247412, 0, 0, 0, 0, 0, 0, 0], 'weight': 5, '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, -1.9999897550111223], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.999959020149449, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.873388498563411], [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], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 3.9998975507409806], [0.0, 0.0], [0.0, -1.1169555151637407], [0.0, 0.0], [-0.8014845021109871, 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, 0.0], [3.7467578042824905, 0.0], [0.0, 0.0], [1.9540690280492485, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.166953503213134, 0.0], [0.0, 0.0], [1.0, 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, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.859695165339597], [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], [0.0, 0.0], [0.0, 0.0], [0.0, -1.9999897550111223], [0.0, 0.0], [0.5456911822965601, 0.0], [0.0, 0.0], [-1.9390695531951796, 0.0], [0.0, 0.0], [0.0, 1.9999897550111223], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [4.999795102426593, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-2.2338995871306513, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.6029607930221643], [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], [0.0, 1.8730117428563744], [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], [0.0, 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, 0.0], [0.0, -5.620088724509538], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, -3.9081180366830384], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7732786347713496, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.0523836380407376], [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], [0.0, -0.33451696033826156], [0.0, 0.0], [0.0, -2.3338950510006065], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.9999897550111223], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.9092471533759812, 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, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.9738591629948646], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.09989601635053247, 0.0], [0.0, 0.0], [-2.509584466549671, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.2538206132155217], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7193815231117868, 0.0], [0.0, 0.0], [0.0, -1.4550892185901947], [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], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6595277292661478, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.5824854875134988], [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], 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[0.0, 0.0], [0.0, 0.0], [-1.3081317517258135, 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, 0.0], [-3.7467578042824905, 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, 0.0], [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], [0.0, 0.0], [-0.643985577564376, 0.0], [0.0, 0.0], [3.457695268322808, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.9840088527272521], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, -0.25050942008345617, -0.25, 0.0, -0.25, 0.1930655817838586, 0.0, -0.25, None, -0.4056928061794249, -0.3156238566060439, -0.25, -0.03417492891282004, -0.25, -0.15084596601812988, -0.25, 0.0707163548506815, -0.25, -0.25, -0.20601759301434702, -0.46061361727770106, 0.0, -0.25, 0.0, 0.0, 0.19298001884357988, 0.0, -0.25, -0.25, 0.0, -0.0765168437015987, 0.08819030729636598, 0.0, -0.4732542794889347, -0.25, -0.048128942844570026, -0.25, -0.41905841425562235, -0.2579527815103363, 0.020253019417046866, -0.37033071385507127, -0.25, 0.0, -0.19651543425690085, 0.1452827776453391, 0.0, 0.08793276072343469, -0.17263280892682137, -0.25, -0.25, -0.1333680732490948, -0.016266846027927225, 0.0, -0.25, -0.41306716515374337, 0.0, -0.3574827132676892, -0.17693620441163263, 0.12407998382531937, 0.0, -0.25, -0.25, 0.11332048078278044, -0.45284033770885573, 0.0, 0.13781504460968058, 0.1661596730825472, 0.0, -0.33423301446168907, 0.1547854012716695, -0.277895601655295, 0.0, 0.0, -0.25, -0.25, 0.0, -0.25, 0.10157921525238933, 0.0, -0.06518366413893424, -0.25, -0.25, 0.0, 0.0, -0.08022605887628576, 0.10226752633567773, -0.22073365891803617, 0.0, -0.4663497674167259, -0.03375042702924485, -0.25, 0.0, -0.41198837893543105, 0.23392012618518387, -0.3330097127184184, 0.0, 0.09154172120970896, 0.0, -0.25, 0.17454400677778356, -0.4574708746097535, -0.25, -0.25, 0.0, -0.25, -0.35844453710845314, -0.48395943535403046, -0.077523500480043, -0.1255595933292791, -0.16901437220269808, -0.39700317853470446, -0.25, 0.0, -0.25, 0.0, 0.0, -0.25, -0.10977227712555492, -0.3196256951395985, -0.25, -0.25, -0.10785917955733097, -0.25, 0.02911203941183694, 0.13129150976213103, -0.25, -0.25, -0.295388533594737, 0.0, -0.25, -0.4833673032458174, 0.0, 0.0, -0.25, -0.254552886996581, 0.0, -0.25, -0.25, -0.25, -0.4712382309440012, -0.31786518845806083, -0.28269535238051346, -0.08097243225480162, -0.25, -0.47788483371176754, 0.0, 0.10952674770598743, -0.21116221484150063, -0.4972107037887258, -0.466358568397888, 0.15191758131112634, 0.0, -0.32176238172660143, -0.4906466529540369, -0.25, 0.0, 0.0, -0.2746332120568764, 0.0, -0.25, 0.23794777636017256, 0.0, -0.36346904892286536, -0.25, 0.0, 0.0, -0.3021763422099003, 0.2298604511454591], 'char_orbit_index': 5, 'conrey_index': 689, 'dual_conrey_index': 689, 'dual_embedding_index': 6, 'dual_embedding_m': 6, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 1.3897345731560673, 'embedding_root_real': -0.26198819854093297, 'hecke_orbit': 4, 'hecke_orbit_code': 13511073843905248, 'label': '736.5.e.d.689.1', 'level': 736, 'weight': 5}
• 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': 18400, 'analytic_conductor': 76.08029282970942, 'char_conductor': 184, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 2, 'char_parity': -1, 'char_values': [736, 2, [415, 645, 97], [2, 1, 1]], 'conrey_index': 689, 'cusp_dim': 376, 'dim': 94, 'eis_dim': 16, 'eis_new_dim': 4, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 274961793760, 'hecke_orbit_dims': [1, 1, 2, 6, 84], 'label': '736.5.e', 'level': 736, '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, 23], 'level_radical': 46, 'mf_dim': 392, 'mf_new_dim': 98, 'num_forms': 5, 'prim_orbit_index': 5, 'relative_dim': 94, 'sturm_bound': 480, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [94, 0, 0, 0, 0, 0, 0, 0, -2434, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 578, 0, 10746, 0, 0, 0, 0, 0, 260, 0, 0, 0, 0, 0, 0, 0, -1664, 0, -4, 0, 0, 0, 0, 0, 4, 0, -28130, 0, 0, 0, 0, 0, 2504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14588, 0, -4, 0, 0, 0, 0, 0, 0, 0, 62238, 0, 0, 0, 0, 0, -16064, 0, 0, 0, 0, 0, 0, 0, -37816, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -65280, 0, 58938, 0, 0, 0, 0, 0, 96004, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 174468, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38400, 0, 0, 0, 0, 0, 19780, 0, -182786, 0, 0, 0, 0, 0, 0, 0, 33920, 0, 0, 0, 0, 0, 0, 0, 50488, 0, 0, 0, 0, 0, 0, 0, -35716, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20318, 0, -8840, 0, 0, 0, 0, 0, 213320, 0, 0, 0, 0, 0, 0, 0, -257980, 0, -51942, 0, 0, 0, 0, 0, 48640, 0, 69884, 0, 0, 0, 0, 0, 198916, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -521600, 0, 164156, 0, 0, 0, 0, 0, 0, 0, -277704, 0, 0, 0, 0, 0, 82052, 0, 0, 0, 0, 0, 0, 0, 230340, 0, 0, 0, 0, 0, 0, 0, 0, 0, -646882, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 427712, 0, -86216, 0, 0, 0, 0, 0, -566780, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -603832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480192, 0, 0, 0, 0, 0, 819776, 0, 540284, 0, 0, 0, 0, 0, 0, 0, 327610, 0, 0, 0, 0, 0, 0, 0, 738044, 0, 0, 0, 0, 0, 0, 0, 216384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -405248, 0, -207872, 0, 0, 0, 0, 0, 291328, 0, 0, 0, 0, 0, 0, 0, -48568, 0, -236292, 0, 0, 0, 0, 0, -1336, 0, 135296, 0, 0, 0, 0, 0, -1770876, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1718276, 0, -46402, 0, 0, 0, 0, 0, 0, 0, -752644, 0, 0, 0, 0, 0, 201984, 0, 0, 0, 0, 0, 0, 0, -2409852, 0, 0, 0, 0, 0, 0, 0, 0, 0, -297032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320508, 0, -968640, 0, 0, 0, 0, 0, 3339080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 197696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 203102, 0, 0, 0, 0, 0, -971704, 0, 21440, 0, 0, 0, 0, 0, 0, 0, -528008, 0, 0, 0, 0, 0, 0, 0, 1010432, 0, 0, 0, 0, 0, 0, 0, 485376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1815846, 0, -551108, 0, 0, 0, 0, 0, 1019720, 0, 0, 0, 0, 0, 0, 0, -2354176, 0, -118468, 0, 0, 0, 0, 0, -2151164, 0, -1583620, 0, 0, 0, 0, 0, 2027332, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4741632, 0, 285142, 0, 0, 0, 0, 0, 0, 0, 776448, 0, 0, 0, 0, 0, -483132, 0, 0, 0, 0, 0, 0, 0, 4989700, 0, 0, 0, 0, 0, 0, 0, 0, 0, 983228, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1607224, 0, 1236540, 0, 0, 0, 0, 0, -2339456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3409480, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1734532, 0, 0, 0, 0, 0, 6360388, 0, -2020480, 0, 0, 0, 0, 0, 0, 0, -2214658, 0, 0, 0, 0, 0, 0, 0, 1463224, 0, 0, 0, 0, 0, 0, 0, -27272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1506560, 0, -434308, 0, 0, 0, 0, 0, -7007040, 0, 0, 0, 0, 0, 0, 0, 4931276, 0, 45504, 0, 0, 0, 0, 0, 1857920, 0, 2175352, 0, 0, 0, 0, 0, -1560192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1888896, 0, 2752892, 0, 0, 0, 0, 0, 0, 0, -703432, 0, 0, 0, 0, 0, 3325956, 0, 0, 0, 0, 0, 0, 0, -6868928, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1030658, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2314056, 0, 1245116, 0, 0, 0, 0, 0, 4231684, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7969532, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1334080, 0, 0, 0, 0, 0, -12292224, 0, 244408, 0, 0, 0, 0, 0, 0, 0, 1391480, 0, 0, 0, 0, 0, 0, 0, -922880, 0, 0, 0, 0, 0, 0, 0, -637060, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3383556, 0, 9191680, 0, 0, 0, 0, 0, 13052864, 0, 0, 0, 0, 0, 0, 0, 554496, 0, 1695194, 0, 0, 0, 0, 0, -693628, 0, 5054336, 0, 0, 0, 0, 0, -113536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1751740, 0, -1872448, 0, 0, 0, 0, 0, 0, 0], 'weight': 5, '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: 43219480
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073843905248, 'source_is_minimal': False, 'source_label': '736.5.e.d.689.1', 'source_level': 736, 'target_conrey_index': 689, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511073843905248, 'target_is_minimal': False, 'target_label': '736.5.e.d.689.1', 'target_level': 736, 'twist_class_label': '184.5.e.d.45.1', 'twist_class_level': 184, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 5}
  • id: 43219481
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073843905248, 'source_is_minimal': False, 'source_label': '736.5.e.d.689.1', 'source_level': 736, 'target_conrey_index': 45, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511073843904696, 'target_is_minimal': True, 'target_label': '184.5.e.d.45.1', 'target_level': 184, 'twist_class_label': '184.5.e.d.45.1', 'twist_class_level': 184, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 5}
  • id: 43219482
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073843905248, 'source_is_minimal': False, 'source_label': '736.5.e.d.689.1', 'source_level': 736, 'target_conrey_index': 45, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511073843904696, 'target_is_minimal': True, 'target_label': '184.5.e.d.45.2', 'target_level': 184, 'twist_class_label': '184.5.e.d.45.1', 'twist_class_level': 184, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 5}
  • id: 43219483
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073843905248, 'source_is_minimal': False, 'source_label': '736.5.e.d.689.1', 'source_level': 736, 'target_conrey_index': 689, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 13511073843905248, 'target_is_minimal': False, 'target_label': '736.5.e.d.689.6', 'target_level': 736, 'twist_class_label': '184.5.e.d.45.1', 'twist_class_level': 184, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 5}
  • id: 43219484
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073843905248, 'source_is_minimal': False, 'source_label': '736.5.e.d.689.1', 'source_level': 736, 'target_conrey_index': 689, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511073843905248, 'target_is_minimal': False, 'target_label': '736.5.e.d.689.1', 'target_level': 736, 'twist_class_label': '184.5.e.d.45.1', 'twist_class_level': 184, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 5}
  • id: 43219485
    {'conductor': 92, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073843905248, 'source_is_minimal': False, 'source_label': '736.5.e.d.689.1', 'source_level': 736, 'target_conrey_index': 45, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511073843904696, 'target_is_minimal': True, 'target_label': '184.5.e.d.45.1', 'target_level': 184, 'twist_class_label': '184.5.e.d.45.1', 'twist_class_level': 184, 'twisting_char_label': '92.91', 'twisting_conrey_index': 91, 'weight': 5}
  • id: 43219486
    {'conductor': 184, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 689, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073843905248, 'source_is_minimal': False, 'source_label': '736.5.e.d.689.1', 'source_level': 736, 'target_conrey_index': 689, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 13511073843905248, 'target_is_minimal': False, 'target_label': '736.5.e.d.689.6', 'target_level': 736, 'twist_class_label': '184.5.e.d.45.1', 'twist_class_level': 184, 'twisting_char_label': '184.45', 'twisting_conrey_index': 45, 'weight': 5}
  • id: 43219487
    {'conductor': 184, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 689, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13511073843905248, 'source_is_minimal': False, 'source_label': '736.5.e.d.689.1', 'source_level': 736, 'target_conrey_index': 45, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511073843904696, 'target_is_minimal': True, 'target_label': '184.5.e.d.45.2', 'target_level': 184, 'twist_class_label': '184.5.e.d.45.1', 'twist_class_level': 184, 'twisting_char_label': '184.91', 'twisting_conrey_index': 91, 'weight': 5}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1269100
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 2}
  • id: 1269101
    {'charpoly_factorization': [[[2125568, 0, 59049, 0, 486, 0, 1], 1]], 'hecke_orbit_code': 13511073843905248, 'p': 3}
  • id: 1269102
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 5}
  • id: 1269103
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 7}
  • id: 1269104
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 11}
  • id: 1269105
    {'charpoly_factorization': [[[21232849874688, 0, 7341576489, 0, 171366, 0, 1], 1]], 'hecke_orbit_code': 13511073843905248, 'p': 13}
  • id: 1269106
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 17}
  • id: 1269107
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 19}
  • id: 1269108
    {'charpoly_factorization': [[[-529, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 23}
  • id: 1269109
    {'charpoly_factorization': [[[1355561922350700288, 0, 4502217716649, 0, 4243686, 0, 1], 1]], 'hecke_orbit_code': 13511073843905248, 'p': 29}
  • id: 1269110
    {'charpoly_factorization': [[[-1677025154, -2770563, 0, 1], 2]], 'hecke_orbit_code': 13511073843905248, 'p': 31}
  • id: 1269111
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 37}
  • id: 1269112
    {'charpoly_factorization': [[[-7596282526, -8477283, 0, 1], 2]], 'hecke_orbit_code': 13511073843905248, 'p': 41}
  • id: 1269113
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 43}
  • id: 1269114
    {'charpoly_factorization': [[[20606906306, -14639043, 0, 1], 2]], 'hecke_orbit_code': 13511073843905248, 'p': 47}
  • id: 1269115
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 53}
  • id: 1269116
    {'charpoly_factorization': [[[8955648, 0, 1], 3]], 'hecke_orbit_code': 13511073843905248, 'p': 59}
  • id: 1269117
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 61}
  • id: 1269118
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 67}
  • id: 1269119
    {'charpoly_factorization': [[[188893891874, -76235043, 0, 1], 2]], 'hecke_orbit_code': 13511073843905248, 'p': 71}
  • id: 1269120
    {'charpoly_factorization': [[[223017449186, -85194723, 0, 1], 2]], 'hecke_orbit_code': 13511073843905248, 'p': 73}
  • id: 1269121
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 79}
  • id: 1269122
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 83}
  • id: 1269123
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, 'p': 89}
  • id: 1269124
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13511073843905248, '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': 5, 'hecke_orbit': 4, 'label': '736.5.e.d', 'level': 736, 'portrait': 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', 'weight': 5}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 36543355
    {'hecke_orbit_code': 13511073843905248, 'n': 1, 'trace_an': 6}
  • id: 36543356
    {'hecke_orbit_code': 13511073843905248, 'n': 2, 'trace_an': 0}
  • id: 36543357
    {'hecke_orbit_code': 13511073843905248, 'n': 3, 'trace_an': 0}
  • id: 36543358
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  • id: 36543359
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  • id: 36543360
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  • id: 36543361
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  • id: 36543362
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  • id: 36543363
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  • id: 36543364
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  • id: 36543365
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  • id: 36543366
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  • id: 36543367
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  • id: 36543368
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  • id: 36543369
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  • id: 36543370
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  • id: 36543371
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  • id: 36543372
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  • id: 36543373
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  • id: 36543374
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  • id: 36543375
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  • id: 36543376
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  • id: 36543377
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  • id: 36543378
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  • id: 36543379
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  • id: 36543380
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  • id: 36543381
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  • id: 36543382
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  • id: 36543383
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  • id: 36543384
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  • id: 36543385
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  • id: 36543386
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  • id: 36543387
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  • id: 36543388
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  • id: 36543389
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  • id: 36543390
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  • id: 36543391
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  • id: 36543392
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  • id: 36543393
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  • id: 36543394
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  • id: 36543395
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  • id: 36543396
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  • id: 36543397
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  • id: 36543398
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  • id: 36543399
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  • id: 36543400
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  • id: 36543401
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  • id: 36543402
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  • id: 36543403
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  • id: 36543404
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  • id: 36543405
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  • id: 36543406
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  • id: 36543407
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  • id: 36543408
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  • id: 36543409
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  • id: 36543410
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  • id: 36543411
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  • id: 36543412
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  • id: 36543413
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  • id: 36543414
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  • id: 36543415
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  • id: 36543416
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  • id: 36543417
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  • id: 36543418
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  • id: 36543419
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  • id: 36543420
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  • id: 36543421
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  • id: 36543422
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  • id: 36543423
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  • id: 36543424
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  • id: 36543425
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  • id: 36543426
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  • id: 36543427
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  • id: 36543428
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  • id: 36543429
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  • id: 36543430
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  • id: 36543431
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  • id: 36543432
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  • id: 36543433
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  • id: 36543434
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  • id: 36543435
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  • id: 36543436
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  • id: 36543437
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  • id: 36543438
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  • id: 36543439
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  • id: 36543440
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  • id: 36543441
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  • id: 36543442
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  • id: 36543443
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  • id: 36543444
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  • id: 36543445
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  • id: 36543446
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  • id: 36543447
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  • id: 36543448
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  • id: 36543449
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  • id: 36543450
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  • id: 36543451
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  • id: 36543452
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  • id: 36543453
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  • id: 36543454
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  • id: 36543455
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  • id: 36543456
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  • id: 36543457
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  • id: 36543458
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  • id: 36543459
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  • id: 36543460
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  • id: 36543461
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  • id: 36543462
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  • id: 36543463
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  • id: 36543464
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  • id: 36543465
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  • id: 36543466
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  • id: 36543467
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  • id: 36543468
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  • id: 36543469
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  • id: 36543470
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  • id: 36543471
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  • id: 36543472
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  • id: 36543473
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  • id: 36543474
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  • id: 36543475
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  • id: 36543476
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  • id: 36543477
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  • id: 36543478
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  • id: 36543479
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  • id: 36543480
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  • id: 36543481
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  • id: 36543482
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  • id: 36543483
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  • id: 36543484
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  • id: 36543485
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  • id: 36543486
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  • id: 36543487
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  • id: 36543488
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  • id: 36543489
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  • id: 36543490
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  • id: 36543491
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  • id: 36543492
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  • id: 36543493
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  • id: 36543494
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  • id: 36543495
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  • id: 36543496
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  • id: 36543497
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  • id: 36543498
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  • id: 36543499
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  • id: 36543500
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  • id: 36543501
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  • id: 36543502
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  • id: 36543503
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  • id: 36543504
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  • id: 36543505
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  • id: 36543506
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  • id: 36543507
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  • id: 36543508
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  • id: 36543509
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  • id: 36543510
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  • id: 36543511
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  • id: 36543512
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  • id: 36543513
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  • id: 36543514
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  • id: 36543515
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  • id: 36543516
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  • id: 36543517
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  • id: 36543518
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  • id: 36543519
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  • id: 36543520
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  • id: 36543521
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  • id: 36543522
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  • id: 36543523
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  • id: 36543524
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  • id: 36543525
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  • id: 36543526
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  • id: 36543527
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  • id: 36543528
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  • id: 36543529
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  • id: 36543530
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  • id: 36543531
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  • id: 36543532
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  • id: 36543533
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  • id: 36543534
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  • id: 36543535
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  • id: 36543536
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  • id: 36543537
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  • id: 36543538
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  • id: 36543539
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  • id: 36543540
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  • id: 36543541
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  • id: 36543542
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  • id: 36543544
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  • id: 36543545
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  • id: 36543546
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  • id: 36543547
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  • id: 36543548
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  • id: 36543549
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  • id: 36543550
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  • id: 36543551
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  • id: 36543552
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  • id: 36543555
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  • id: 36543556
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  • id: 36543557
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  • id: 36543558
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  • id: 36543559
    {'hecke_orbit_code': 13511073843905248, 'n': 647, 'trace_an': 0}
  • id: 36543560
    {'hecke_orbit_code': 13511073843905248, 'n': 653, 'trace_an': 0}
  • id: 36543561
    {'hecke_orbit_code': 13511073843905248, 'n': 659, 'trace_an': 0}
  • id: 36543562
    {'hecke_orbit_code': 13511073843905248, 'n': 661, 'trace_an': 0}
  • id: 36543563
    {'hecke_orbit_code': 13511073843905248, 'n': 673, 'trace_an': 0}
  • id: 36543564
    {'hecke_orbit_code': 13511073843905248, 'n': 677, 'trace_an': 0}
  • id: 36543565
    {'hecke_orbit_code': 13511073843905248, 'n': 683, 'trace_an': 0}
  • id: 36543566
    {'hecke_orbit_code': 13511073843905248, 'n': 691, 'trace_an': 0}
  • id: 36543567
    {'hecke_orbit_code': 13511073843905248, 'n': 701, 'trace_an': 0}
  • id: 36543568
    {'hecke_orbit_code': 13511073843905248, 'n': 709, 'trace_an': 0}
  • id: 36543569
    {'hecke_orbit_code': 13511073843905248, 'n': 719, 'trace_an': -1745268}
  • id: 36543570
    {'hecke_orbit_code': 13511073843905248, 'n': 727, 'trace_an': 0}
  • id: 36543571
    {'hecke_orbit_code': 13511073843905248, 'n': 729, 'trace_an': -9564762}
  • id: 36543572
    {'hecke_orbit_code': 13511073843905248, 'n': 733, 'trace_an': 0}
  • id: 36543573
    {'hecke_orbit_code': 13511073843905248, 'n': 739, 'trace_an': 0}
  • id: 36543574
    {'hecke_orbit_code': 13511073843905248, 'n': 743, 'trace_an': 0}
  • id: 36543575
    {'hecke_orbit_code': 13511073843905248, 'n': 751, 'trace_an': 0}
  • id: 36543576
    {'hecke_orbit_code': 13511073843905248, 'n': 757, 'trace_an': 0}
  • id: 36543577
    {'hecke_orbit_code': 13511073843905248, 'n': 761, 'trace_an': 0}
  • id: 36543578
    {'hecke_orbit_code': 13511073843905248, 'n': 769, 'trace_an': 0}
  • id: 36543579
    {'hecke_orbit_code': 13511073843905248, 'n': 773, 'trace_an': 0}
  • id: 36543580
    {'hecke_orbit_code': 13511073843905248, 'n': 787, 'trace_an': 0}
  • id: 36543581
    {'hecke_orbit_code': 13511073843905248, 'n': 797, 'trace_an': 0}
  • id: 36543582
    {'hecke_orbit_code': 13511073843905248, 'n': 809, 'trace_an': -7725876}
  • id: 36543583
    {'hecke_orbit_code': 13511073843905248, 'n': 811, 'trace_an': 0}
  • id: 36543584
    {'hecke_orbit_code': 13511073843905248, 'n': 821, 'trace_an': 0}
  • id: 36543585
    {'hecke_orbit_code': 13511073843905248, 'n': 823, 'trace_an': 0}
  • id: 36543586
    {'hecke_orbit_code': 13511073843905248, 'n': 827, 'trace_an': 0}
  • id: 36543587
    {'hecke_orbit_code': 13511073843905248, 'n': 829, 'trace_an': 0}
  • id: 36543588
    {'hecke_orbit_code': 13511073843905248, 'n': 839, 'trace_an': 0}
  • id: 36543589
    {'hecke_orbit_code': 13511073843905248, 'n': 841, 'trace_an': -4243686}
  • id: 36543590
    {'hecke_orbit_code': 13511073843905248, 'n': 853, 'trace_an': 0}
  • id: 36543591
    {'hecke_orbit_code': 13511073843905248, 'n': 857, 'trace_an': 0}
  • id: 36543592
    {'hecke_orbit_code': 13511073843905248, 'n': 859, 'trace_an': 0}
  • id: 36543593
    {'hecke_orbit_code': 13511073843905248, 'n': 863, 'trace_an': 0}
  • id: 36543594
    {'hecke_orbit_code': 13511073843905248, 'n': 877, 'trace_an': 0}
  • id: 36543595
    {'hecke_orbit_code': 13511073843905248, 'n': 881, 'trace_an': 0}
  • id: 36543596
    {'hecke_orbit_code': 13511073843905248, 'n': 883, 'trace_an': 0}
  • id: 36543597
    {'hecke_orbit_code': 13511073843905248, 'n': 887, 'trace_an': 0}
  • id: 36543598
    {'hecke_orbit_code': 13511073843905248, 'n': 907, 'trace_an': 0}
  • id: 36543599
    {'hecke_orbit_code': 13511073843905248, 'n': 911, 'trace_an': 0}
  • id: 36543600
    {'hecke_orbit_code': 13511073843905248, 'n': 919, 'trace_an': 0}
  • id: 36543601
    {'hecke_orbit_code': 13511073843905248, 'n': 929, 'trace_an': 0}
  • id: 36543602
    {'hecke_orbit_code': 13511073843905248, 'n': 937, 'trace_an': 0}
  • id: 36543603
    {'hecke_orbit_code': 13511073843905248, 'n': 941, 'trace_an': 0}
  • id: 36543604
    {'hecke_orbit_code': 13511073843905248, 'n': 947, 'trace_an': 0}
  • id: 36543605
    {'hecke_orbit_code': 13511073843905248, 'n': 953, 'trace_an': 0}
  • id: 36543606
    {'hecke_orbit_code': 13511073843905248, 'n': 961, 'trace_an': 5541126}
  • id: 36543607
    {'hecke_orbit_code': 13511073843905248, 'n': 967, 'trace_an': 0}
  • id: 36543608
    {'hecke_orbit_code': 13511073843905248, 'n': 971, 'trace_an': 0}
  • id: 36543609
    {'hecke_orbit_code': 13511073843905248, 'n': 977, 'trace_an': 0}
  • id: 36543610
    {'hecke_orbit_code': 13511073843905248, 'n': 983, 'trace_an': 0}
  • id: 36543611
    {'hecke_orbit_code': 13511073843905248, 'n': 991, 'trace_an': -3794676}
  • id: 36543612
    {'hecke_orbit_code': 13511073843905248, 'n': 997, 'trace_an': 0}