Embedded newform data - 2156.2.q.d.901.5

Formats: - HTML - YAML - JSON - 2025-02-11T12:27:14.195215

• 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': 8624, 'analytic_conductor': 17.21574667578805, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 77, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 6, 'char_parity': 1, 'char_values': [2156, 6, [1079, 1277, 981], [6, 5, 3]], 'cm_discs': [], 'conrey_index': 901, 'dim': 16, 'field_disc': 721389578983833600000000, 'field_disc_factorization': [[2, 48], [3, 8], [5, 8]], 'field_poly': [2401, 0, 784, 0, -724, 0, -464, 0, 223, 0, 128, 0, 44, 0, 8, 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, [4, 0, -8, 0, 14, 0, -4, 0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511898427295852, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 1024, 'hecke_ring_index_factorization': [[2, 10]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0], [1, 1, 11, 2, -1, 2, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 77, 9, 1, 6, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 77, 2, 1, 2, 0], [1, 1, 77, 8, -1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2156.2.q.d', 'level': 2156, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 11], 'level_radical': 154, 'minimal_twist': '2156.2.c.a', 'nf_label': '16.0.721389578983833600000000.5', 'prim_orbit_index': 9, 'qexp_display': 'q+(\\beta _{2}+\\beta _{5})q^{3}-\\beta _{5}q^{5}+(-1-\\beta _{6}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2156.2.q', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1761811308949564181, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.046', 'prec': 17}, {'__RealLiteral__': 0, 'data': '12.896', 'prec': 20}, {'__RealLiteral__': 0, 'data': '15.348', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2379.924', 'prec': 27}, {'__RealLiteral__': 0, 'data': '10312.068', 'prec': 30}, {'__RealLiteral__': 0, 'data': '747239.870', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.767', 'prec': 17}, 'traces': [16, 0, 0, 0, 0, 0, 0, 0, -8, 0, 8, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 48, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 48, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 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, -64, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 32, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -16, 0, 160, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 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, 40, 0, 0, 0, 640, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 160, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -8, 0, -160, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, -112, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, -32, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -160, 0, 64, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 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, 0, 0, -176, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 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, 96, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 320, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -192, 0, 160, 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, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, -160, 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, -16, 0, 72, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 128, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 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, 0, 144, 0, 16, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -320, 0, -96, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -32, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 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, 0, 0, 16, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 104, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, 16, 0, 160, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 352, 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, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 0, -96, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, -192, 0, -16, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 448, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, -160, 0, 0, 0, 944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, -480, 0, 64, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -320, 0, -128, 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, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 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, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 384, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 48, 0, 56, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 256, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 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, -288, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, -256, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.3826834323650898, -0.2209423826903945], [0.0, 0.0], [-0.296425312083897, -0.17114123372625678], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4023689270621825, 0.6969234250586759], [0.0, 0.0], [-0.6749671515558886, 0.7378477785563429], [0.0, 0.0], [0.6712711464234822, 0.0], [0.0, 0.0], [-0.1512494078242115, 0.0], [0.0, 0.0], [-0.7085832553488328, -1.22730219965673], [0.0, 0.0], [0.39262491730822535, -0.6800463050953753], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.4423258684646914, -0.7661308776828737], [0.0, 0.0], [-0.4414213562373095, -0.764564216548981], [0.0, 0.0], [0.0, 0.7974861632435737], [0.0, 0.0], [0.0, -0.8304547985373997], [0.0, 0.0], [-0.18878354639418354, 0.10899423132925408], [0.0, 0.0], [-0.09527690003404221, 0.4314909711634047], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.09630269712307601, -0.1668011643230848], [0.0, 0.0], [0.25688434636098695, -0.14831224652211686], [0.0, 0.0], [1.668518662589086, 0.0], [0.0, 0.0], [0.0, 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0.0993422747327885, -0.06368073152964289, -0.2864682745066336, -0.3950057172973708, 0.11622243354496505, -0.3587623521657747, -0.06998880037887606, -0.3046538792662861, -0.2556983779760713, -0.351412548260492, -0.2651005184741089, -0.32467907739875257, 0.24108821015108256, -0.44043921213791315, -0.4330887064588753, -0.4906943035479588, -0.2120550545426099, -0.15970736629265248, -0.4142923965422802, -0.21541971087613512, -0.40174760071517235, -0.42108446208564637, -0.23065907078823641, -0.37696824332026, -0.42869087891619395, -0.18719578871072487, -0.35458941213192724, -0.06695710972395877, -0.4212297707516207, -0.3333333333333333, -0.08993958394332992, 0.008260748276222333, 0.06011017912064717, 0.11580786260138705, -0.17951703586972562, -0.08358645247482123, -0.23300583014563758, -0.3619885369973452, -0.22297244833335758, -0.2133512652388975, -0.4477074237595518, -0.19150359459368005, -0.2267063965210224, -0.04680090652147985, -0.10360162646896957, -0.45130796065348533, 0.036888272368077714, -0.45620943671924874, -0.18390403207869052, -0.2605257776304453, -0.24698341025097134, -0.3548215960015451, -0.44563604231351933, -0.36162499729582415, 0.034016133285641424, -0.19749571597450724, 0.005051236770107801, 0.18491428890514924, -0.14174278290781167, -0.08590218620484917, -0.027600644290425146, -0.49456346021385117, -0.21490567485467388, -0.44732875827875046, -0.06624776316357496, -0.2491873889964368, -0.2951761691745483, -0.4354624754293519, -0.4664684404059106, 0.031730241097547456, -0.46368775830052844, -0.30793091764473196, -0.46898965788025176, -0.1535042277080606, -0.40404010623332665, 0.04302981261971013, -0.27671870136103016, -0.3364067375724117, 0.03831816869239732, 0.16554801628512508, -0.43915737699853197, -0.016410405605373667, 0.00900720630002317, 0.08486224563028985, -0.058453499817628166, -0.13595711046519277, -0.48294862749363704, 0.04758540528332599, -0.41193447277361506, -0.435282254404406, 0.04791291112369209, -0.016163469128930085, -0.4066137346116294, -0.23824419860617843, -0.1917413215262794, -0.26097799262725596, -0.4124021142437215, 0.027944416678239454, -0.21150396848930658, -0.1925106439344524, -0.4332995289481025, -0.3566487700345317, -0.22818819456410105, -0.2626114209714689, -0.14325655188497766, 0.20693353821845178, -0.3115083154339813, -0.10370543056920602, -0.4166666666666667, -0.09610588669378971, 0.11169954060340648, -0.39814108603440035, -0.43322807791978374, -0.45106395947542566, -0.4280528148044375, 0.02710208271108959, 0.026170168986666822, -0.4005908612927195, -0.2047641773387874, -0.06433444603948868, -0.24694789535864078, -0.006039740752865231, -0.32213111243526305, 0.030602104785589536, 0.09804391639952097, -0.2863430544509981, -0.49072916415720175, -0.4664574945239812, -0.25716129758952444, -0.39397172648094364, -0.13319931890607264, -0.26632779638265275], 'char_orbit_index': 17, 'conrey_index': 901, 'dual_conrey_index': 2089, 'dual_embedding_index': 5, 'dual_embedding_m': 13, 'embedding_index': 5, 'embedding_m': 5, 'embedding_root_imag': -1.203003046465386, 'embedding_root_real': -0.3722500608756236, 'hecke_orbit': 4, 'hecke_orbit_code': 13511898427295852, 'label': '2156.2.q.d.901.5', 'level': 2156, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_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': 8624, 'analytic_conductor': 17.21574667578805, 'char_conductor': 77, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 6, 'char_parity': 1, 'char_values': [2156, 6, [1079, 1277, 981], [6, 5, 3]], 'conrey_index': 901, 'cusp_dim': 624, 'dim': 80, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 1099545184364, 'hecke_orbit_dims': [8, 8, 16, 16, 32], 'label': '2156.2.q', 'level': 2156, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 11], 'level_radical': 154, 'mf_dim': 720, 'mf_new_dim': 80, 'num_forms': 5, 'prim_orbit_index': 9, 'relative_dim': 40, 'sturm_bound': 672, 'trace_bound': 9, 'trace_display': [0, 0, -6, 0], 'traces': [80, 0, 0, 0, -6, 0, 0, 0, 48, 0, 3, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 2, 0, 62, 0, 0, 0, 0, 0, 12, 0, -21, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 18, 0, 12, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, 108, 0, 0, 0, -6, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -26, 0, 0, 0, 0, 0, -36, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, -72, 0, 0, 0, 0, 0, -41, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -6, 0, 0, 0, 4, 0, -30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, -36, 0, -120, 0, 0, 0, -4, 0, 19, 0, 0, 0, -164, 0, 0, 0, 0, 0, 0, 0, -70, 0, 50, 0, 0, 0, 0, 0, -54, 0, -69, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 12, 0, 126, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 612, 0, 0, 0, -84, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, -36, 0, 0, 0, 0, 0, 10, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, -348, 0, -36, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 18, 0, 0, 0, -224, 0, -45, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 138, 0, -96, 0, 0, 0, 22, 0, -102, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -20, 0, 52, 0, 0, 0, 0, 0, -12, 0, -99, 0, 0, 0, 114, 0, 0, 0, 0, 0, 0, 0, 84, 0, 150, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 316, 0, 0, 0, -72, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, -22, 0, 0, 0, 0, 0, 294, 0, 0, 0, 246, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, -228, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -134, 0, -106, 0, 0, 0, -260, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 12, 0, -282, 0, 0, 0, 80, 0, 24, 0, 0, 0, -508, 0, 0, 0, 0, 0, 0, 0, -122, 0, -34, 0, 0, 0, 0, 0, -192, 0, -102, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -72, 0, 54, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, 0, 0, -258, 0, 0, 0, 372, 0, 0, 0, -222, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, -266, 0, 0, 0, 0, 0, -22, 0, 0, 0, 246, 0, 0, 0, 0, 0, 0, 0, 0, 0, -348, 0, -24, 0, 0, 0, 0, 0, 95, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 254, 0, -14, 0, 0, 0, 176, 0, -183, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -392, 0, 198, 0, -138, 0, 0, 0, -248, 0, -197, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 152, 0, -128, 0, 0, 0, 0, 0, 54, 0, -201, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 150, 0, 414, 0, 0, 0, 0, 0, -62, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 232, 0, 0, 0, 504, 0, 0, 0, 30, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 72, 0, 0, 0, 0, 0, 64, 0, 0, 0, 234, 0, 0, 0, 0, 0, 0, 0, 0, 0, -780, 0, -222, 0, 0, 0, 0, 0, 67, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90, 0, -240, 0, 0, 0, 552, 0, -63, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 268, 0, 216, 0, -348, 0, 0, 0, -212, 0, 6, 0, 0, 0, -772, 0, 0, 0, 0, 0, 0, 0, -60, 0, -200, 0, 0, 0, 0, 0, -198, 0, -63, 0, 0, 0, -170, 0, 0, 0, 0, 0, 0, 0, -294, 0, 222, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 138, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 500, 0, 0, 0, -228, 0, 0, 0, 0, 0, 286, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -166, 0, 0, 0, 0, 0, -178, 0, 0, 0, 306, 0, 0, 0, 0, 0, 0, 0, 0, 0, 332, 0, 30, 0, 0, 0, 0, 0, -397, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -74, 0, -8, 0, 0, 0, 272, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 108, 0, -378, 0, 0, 0, 356, 0, -199, 0, 0, 0, -1212, 0, 0, 0, 0, 0, 0, 0, 442, 0, 208, 0, 0, 0, 0, 0, 18, 0, -246, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 318, 0, -126, 0, 0, 0, 0, 0, -206, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, -36, 0, 0, 0, -90, 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: 43586378
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 901, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 13511898427295852, 'target_is_minimal': False, 'target_label': '2156.2.q.d.901.5', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 43586379
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 1077, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 137472510060, 'target_is_minimal': True, 'target_label': '2156.2.c.a.1077.5', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43586380
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 2089, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 13511898427295852, 'target_is_minimal': False, 'target_label': '2156.2.q.d.2089.6', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 43586381
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 2089, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13511898427295852, 'target_is_minimal': False, 'target_label': '2156.2.q.d.2089.4', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 43586382
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 1077, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 137472510060, 'target_is_minimal': True, 'target_label': '2156.2.c.a.1077.3', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 43586383
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 901, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13511898427295852, 'target_is_minimal': False, 'target_label': '2156.2.q.d.901.3', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 43586384
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 901, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 13511898427295852, 'target_is_minimal': False, 'target_label': '2156.2.q.d.901.6', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 43586385
    {'conductor': 77, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 2089, 'target_dim': 16, 'target_embedding_index': 5, 'target_hecke_orbit_code': 13511898427295852, 'target_is_minimal': False, 'target_label': '2156.2.q.d.2089.5', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '77.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 43586386
    {'conductor': 77, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 2089, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13511898427295852, 'target_is_minimal': False, 'target_label': '2156.2.q.d.2089.3', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '77.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 43586387
    {'conductor': 77, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 1077, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 137472510060, 'target_is_minimal': True, 'target_label': '2156.2.c.a.1077.4', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '77.54', 'twisting_conrey_index': 54, 'weight': 2}
  • id: 43586388
    {'conductor': 77, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 1077, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 137472510060, 'target_is_minimal': True, 'target_label': '2156.2.c.a.1077.6', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '77.65', 'twisting_conrey_index': 65, 'weight': 2}
  • id: 43586389
    {'conductor': 77, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 901, 'source_dim': 16, 'source_embedding_index': 5, 'source_hecke_orbit_code': 13511898427295852, 'source_is_minimal': False, 'source_label': '2156.2.q.d.901.5', 'source_level': 2156, 'target_conrey_index': 901, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13511898427295852, 'target_is_minimal': False, 'target_label': '2156.2.q.d.901.4', 'target_level': 2156, 'twist_class_label': '2156.2.c.a.1077.3', 'twist_class_level': 2156, 'twisting_char_label': '77.76', 'twisting_conrey_index': 76, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2457675
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 13511898427295852, 'p': 2}
  • id: 2457676
    {'charpoly_factorization': [[[4, 0, -8, 0, 14, 0, -4, 0, 1], 2]], 'hecke_orbit_code': 13511898427295852, 'p': 3}
  • id: 2457677
    {'charpoly_factorization': [[[4, 0, -8, 0, 14, 0, -4, 0, 1], 2]], 'hecke_orbit_code': 13511898427295852, 'p': 5}
  • id: 2457678
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 13511898427295852, 'p': 7}
  • id: 2457679
    {'charpoly_factorization': [[[121, -22, -7, -2, 1], 4]], 'hecke_orbit_code': 13511898427295852, 'p': 11}
  • id: 2457680
    {'charpoly_factorization': [[[200, 0, -40, 0, 1], 4]], 'hecke_orbit_code': 13511898427295852, 'p': 13}
  • id: 2457681
    {'charpoly_factorization': [[[40000, 0, 8000, 0, 1400, 0, 40, 0, 1], 2]], 'hecke_orbit_code': 13511898427295852, 'p': 17}
  • id: 2457682
    {'charpoly_factorization': [[[640000, 0, 64000, 0, 5600, 0, 80, 0, 1], 2]], 'hecke_orbit_code': 13511898427295852, 'p': 19}
  • id: 2457683
    {'charpoly_factorization': [[[324, 0, 18, 0, 1], 4]], 'hecke_orbit_code': 13511898427295852, 'p': 23}
  • id: 2457684
    {'charpoly_factorization': [[[20, 0, 1], 8]], 'hecke_orbit_code': 13511898427295852, 'p': 29}
  • id: 2457685
    {'charpoly_factorization': [[[9604, 0, -6664, 0, 4526, 0, -68, 0, 1], 2]], 'hecke_orbit_code': 13511898427295852, 'p': 31}
  • id: 2457686
    {'charpoly_factorization': [[[64, -64, 56, -8, 1], 4]], 'hecke_orbit_code': 13511898427295852, 'p': 37}
  • id: 2457687
    {'charpoly_factorization': [[[9800, 0, -200, 0, 1], 4]], 'hecke_orbit_code': 13511898427295852, 'p': 41}
  • id: 2457688
    {'charpoly_factorization': [[[400, 0, 120, 0, 1], 4]], 'hecke_orbit_code': 13511898427295852, 'p': 43}
  • id: 2457689
    {'charpoly_factorization': [[[1119364, 0, -71944, 0, 3566, 0, -68, 0, 1], 2]], 'hecke_orbit_code': 13511898427295852, 'p': 47}
  • id: 2457690
    {'charpoly_factorization': [[[2500, 0, 50, 0, 1], 4]], 'hecke_orbit_code': 13511898427295852, 'p': 53}
  • id: 2457691
    {'charpoly_factorization': [[[334084, 0, -30056, 0, 2126, 0, -52, 0, 1], 2]], 'hecke_orbit_code': 13511898427295852, 'p': 59}
  • id: 2457692
    {'charpoly_factorization': [[[40000, 0, 8000, 0, 1400, 0, 40, 0, 1], 2]], 'hecke_orbit_code': 13511898427295852, 'p': 61}
  • id: 2457693
    {'charpoly_factorization': [[[1156, 272, 98, -8, 1], 4]], 'hecke_orbit_code': 13511898427295852, 'p': 67}
  • id: 2457694
    {'charpoly_factorization': [[[46, -16, 1], 8]], 'hecke_orbit_code': 13511898427295852, 'p': 71}
  • id: 2457695
    {'charpoly_factorization': [[[96040000, 0, 1960000, 0, 30200, 0, 200, 0, 1], 2]], 'hecke_orbit_code': 13511898427295852, 'p': 73}
  • id: 2457696
    {'charpoly_factorization': [[[32400, 0, -180, 0, 1], 4]], 'hecke_orbit_code': 13511898427295852, 'p': 79}
  • id: 2457697
    {'charpoly_factorization': [[[3200, 0, -160, 0, 1], 4]], 'hecke_orbit_code': 13511898427295852, 'p': 83}
  • id: 2457698
    {'charpoly_factorization': [[[4, 0, -40, 0, 398, 0, -20, 0, 1], 2]], 'hecke_orbit_code': 13511898427295852, 'p': 89}
  • id: 2457699
    {'charpoly_factorization': [[[4802, 0, 196, 0, 1], 4]], 'hecke_orbit_code': 13511898427295852, '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': 17, 'hecke_orbit': 4, 'label': '2156.2.q.d', 'level': 2156, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 37424941
    {'hecke_orbit_code': 13511898427295852, 'n': 1, 'trace_an': 16}
  • id: 37424942
    {'hecke_orbit_code': 13511898427295852, 'n': 2, 'trace_an': 0}
  • id: 37424943
    {'hecke_orbit_code': 13511898427295852, 'n': 3, 'trace_an': 0}
  • id: 37424944
    {'hecke_orbit_code': 13511898427295852, 'n': 4, 'trace_an': 0}
  • id: 37424945
    {'hecke_orbit_code': 13511898427295852, 'n': 5, 'trace_an': 0}
  • id: 37424946
    {'hecke_orbit_code': 13511898427295852, 'n': 6, 'trace_an': 0}
  • id: 37424947
    {'hecke_orbit_code': 13511898427295852, 'n': 7, 'trace_an': 0}
  • id: 37424948
    {'hecke_orbit_code': 13511898427295852, 'n': 8, 'trace_an': 0}
  • id: 37424949
    {'hecke_orbit_code': 13511898427295852, 'n': 9, 'trace_an': -8}
  • id: 37424950
    {'hecke_orbit_code': 13511898427295852, 'n': 10, 'trace_an': 0}
  • id: 37424951
    {'hecke_orbit_code': 13511898427295852, 'n': 11, 'trace_an': 8}
  • id: 37424952
    {'hecke_orbit_code': 13511898427295852, 'n': 12, 'trace_an': 0}
  • id: 37424953
    {'hecke_orbit_code': 13511898427295852, 'n': 13, 'trace_an': 0}
  • id: 37424954
    {'hecke_orbit_code': 13511898427295852, 'n': 14, 'trace_an': 0}
  • id: 37424955
    {'hecke_orbit_code': 13511898427295852, 'n': 15, 'trace_an': -32}
  • id: 37424956
    {'hecke_orbit_code': 13511898427295852, 'n': 16, 'trace_an': 0}
  • id: 37424957
    {'hecke_orbit_code': 13511898427295852, 'n': 17, 'trace_an': 0}
  • id: 37424958
    {'hecke_orbit_code': 13511898427295852, 'n': 18, 'trace_an': 0}
  • id: 37424959
    {'hecke_orbit_code': 13511898427295852, 'n': 19, 'trace_an': 0}
  • id: 37424960
    {'hecke_orbit_code': 13511898427295852, 'n': 20, 'trace_an': 0}
  • id: 37424961
    {'hecke_orbit_code': 13511898427295852, 'n': 21, 'trace_an': 0}
  • id: 37424962
    {'hecke_orbit_code': 13511898427295852, 'n': 22, 'trace_an': 0}
  • id: 37424963
    {'hecke_orbit_code': 13511898427295852, 'n': 23, 'trace_an': 0}
  • id: 37424964
    {'hecke_orbit_code': 13511898427295852, 'n': 24, 'trace_an': 0}
  • id: 37424965
    {'hecke_orbit_code': 13511898427295852, 'n': 25, 'trace_an': -24}
  • id: 37424966
    {'hecke_orbit_code': 13511898427295852, 'n': 26, 'trace_an': 0}
  • id: 37424967
    {'hecke_orbit_code': 13511898427295852, 'n': 27, 'trace_an': 0}
  • id: 37424968
    {'hecke_orbit_code': 13511898427295852, 'n': 28, 'trace_an': 0}
  • id: 37424969
    {'hecke_orbit_code': 13511898427295852, 'n': 29, 'trace_an': 0}
  • id: 37424970
    {'hecke_orbit_code': 13511898427295852, 'n': 30, 'trace_an': 0}
  • id: 37424971
    {'hecke_orbit_code': 13511898427295852, 'n': 31, 'trace_an': 0}
  • id: 37424972
    {'hecke_orbit_code': 13511898427295852, 'n': 32, 'trace_an': 0}
  • id: 37424973
    {'hecke_orbit_code': 13511898427295852, 'n': 33, 'trace_an': 0}
  • id: 37424974
    {'hecke_orbit_code': 13511898427295852, 'n': 34, 'trace_an': 0}
  • id: 37424975
    {'hecke_orbit_code': 13511898427295852, 'n': 35, 'trace_an': 0}
  • id: 37424976
    {'hecke_orbit_code': 13511898427295852, 'n': 36, 'trace_an': 0}
  • id: 37424977
    {'hecke_orbit_code': 13511898427295852, 'n': 37, 'trace_an': 32}
  • id: 37424978
    {'hecke_orbit_code': 13511898427295852, 'n': 38, 'trace_an': 0}
  • id: 37424979
    {'hecke_orbit_code': 13511898427295852, 'n': 39, 'trace_an': 0}
  • id: 37424980
    {'hecke_orbit_code': 13511898427295852, 'n': 40, 'trace_an': 0}
  • id: 37424981
    {'hecke_orbit_code': 13511898427295852, 'n': 41, 'trace_an': 0}
  • id: 37424982
    {'hecke_orbit_code': 13511898427295852, 'n': 42, 'trace_an': 0}
  • id: 37424983
    {'hecke_orbit_code': 13511898427295852, 'n': 43, 'trace_an': 0}
  • id: 37424984
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  • id: 37424985
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  • id: 37424986
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  • id: 37424987
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  • id: 37424988
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  • id: 37424989
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  • id: 37424990
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  • id: 37424991
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  • id: 37424992
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  • id: 37424993
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  • id: 37424994
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  • id: 37424995
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  • id: 37424996
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  • id: 37424997
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  • id: 37424998
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  • id: 37424999
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  • id: 37425000
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  • id: 37425001
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  • id: 37425002
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  • id: 37425003
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  • id: 37425004
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  • id: 37425005
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  • id: 37425006
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  • id: 37425007
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  • id: 37425008
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  • id: 37425009
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  • id: 37425010
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  • id: 37425011
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  • id: 37425012
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  • id: 37425013
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  • id: 37425014
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  • id: 37425015
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  • id: 37425016
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  • id: 37425017
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  • id: 37425018
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  • id: 37425019
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  • id: 37425020
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  • id: 37425021
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  • id: 37425022
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  • id: 37425023
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  • id: 37425024
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  • id: 37425025
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  • id: 37425026
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  • id: 37425027
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  • id: 37425028
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  • id: 37425029
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  • id: 37425030
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  • id: 37425031
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  • id: 37425032
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  • id: 37425033
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  • id: 37425034
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  • id: 37425035
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  • id: 37425036
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  • id: 37425037
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  • id: 37425038
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  • id: 37425039
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  • id: 37425040
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  • id: 37425041
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  • id: 37425042
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  • id: 37425043
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  • id: 37425044
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  • id: 37425045
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  • id: 37425046
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  • id: 37425047
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  • id: 37425048
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  • id: 37425049
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  • id: 37425050
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  • id: 37425051
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  • id: 37425052
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  • id: 37425053
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  • id: 37425054
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  • id: 37425055
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  • id: 37425056
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  • id: 37425057
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  • id: 37425058
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  • id: 37425059
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  • id: 37425060
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  • id: 37425061
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  • id: 37425062
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  • id: 37425063
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  • id: 37425064
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  • id: 37425065
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  • id: 37425066
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  • id: 37425067
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  • id: 37425068
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  • id: 37425069
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  • id: 37425070
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  • id: 37425071
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  • id: 37425072
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  • id: 37425073
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  • id: 37425074
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  • id: 37425075
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  • id: 37425076
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  • id: 37425077
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  • id: 37425078
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  • id: 37425079
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  • id: 37425080
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  • id: 37425081
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  • id: 37425082
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  • id: 37425083
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  • id: 37425084
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  • id: 37425085
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  • id: 37425086
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  • id: 37425087
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  • id: 37425088
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  • id: 37425089
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  • id: 37425090
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  • id: 37425091
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  • id: 37425092
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  • id: 37425093
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  • id: 37425094
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  • id: 37425095
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  • id: 37425096
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  • id: 37425097
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  • id: 37425098
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  • id: 37425099
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  • id: 37425100
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  • id: 37425101
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  • id: 37425102
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  • id: 37425103
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  • id: 37425104
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  • id: 37425105
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  • id: 37425106
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  • id: 37425107
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  • id: 37425108
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  • id: 37425109
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  • id: 37425110
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  • id: 37425111
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  • id: 37425112
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  • id: 37425113
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  • id: 37425114
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  • id: 37425115
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  • id: 37425116
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  • id: 37425117
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  • id: 37425118
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  • id: 37425119
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  • id: 37425120
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  • id: 37425121
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  • id: 37425122
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  • id: 37425123
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  • id: 37425124
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  • id: 37425125
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  • id: 37425126
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  • id: 37425127
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  • id: 37425128
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  • id: 37425129
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  • id: 37425130
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  • id: 37425131
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  • id: 37425132
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  • id: 37425133
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  • id: 37425134
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  • id: 37425135
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  • id: 37425136
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  • id: 37425137
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  • id: 37425138
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  • id: 37425139
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  • id: 37425140
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  • id: 37425141
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  • id: 37425142
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  • id: 37425143
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  • id: 37425144
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  • id: 37425145
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  • id: 37425146
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  • id: 37425147
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  • id: 37425148
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  • id: 37425149
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  • id: 37425150
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  • id: 37425151
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  • id: 37425152
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  • id: 37425153
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  • id: 37425154
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  • id: 37425155
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  • id: 37425156
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  • id: 37425157
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  • id: 37425158
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  • id: 37425159
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  • id: 37425160
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  • id: 37425161
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  • id: 37425162
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  • id: 37425163
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  • id: 37425164
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  • id: 37425165
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  • id: 37425166
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  • id: 37425167
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  • id: 37425168
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  • id: 37425169
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  • id: 37425170
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  • id: 37425171
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  • id: 37425172
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  • id: 37425173
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  • id: 37425174
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  • id: 37425175
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  • id: 37425176
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  • id: 37425177
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  • id: 37425178
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  • id: 37425179
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  • id: 37425180
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  • id: 37425181
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  • id: 37425182
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  • id: 37425183
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  • id: 37425184
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  • id: 37425185
    {'hecke_orbit_code': 13511898427295852, 'n': 911, 'trace_an': 320}
  • id: 37425186
    {'hecke_orbit_code': 13511898427295852, 'n': 919, 'trace_an': 0}
  • id: 37425187
    {'hecke_orbit_code': 13511898427295852, 'n': 929, 'trace_an': 0}
  • id: 37425188
    {'hecke_orbit_code': 13511898427295852, 'n': 937, 'trace_an': 0}
  • id: 37425189
    {'hecke_orbit_code': 13511898427295852, 'n': 941, 'trace_an': 0}
  • id: 37425190
    {'hecke_orbit_code': 13511898427295852, 'n': 947, 'trace_an': -192}
  • id: 37425191
    {'hecke_orbit_code': 13511898427295852, 'n': 953, 'trace_an': 0}
  • id: 37425192
    {'hecke_orbit_code': 13511898427295852, 'n': 961, 'trace_an': 24}
  • id: 37425193
    {'hecke_orbit_code': 13511898427295852, 'n': 967, 'trace_an': 0}
  • id: 37425194
    {'hecke_orbit_code': 13511898427295852, 'n': 971, 'trace_an': 0}
  • id: 37425195
    {'hecke_orbit_code': 13511898427295852, 'n': 977, 'trace_an': -32}
  • id: 37425196
    {'hecke_orbit_code': 13511898427295852, 'n': 983, 'trace_an': 0}
  • id: 37425197
    {'hecke_orbit_code': 13511898427295852, 'n': 991, 'trace_an': 0}
  • id: 37425198
    {'hecke_orbit_code': 13511898427295852, 'n': 997, 'trace_an': 0}