Embedded newform data - 1848.2.v.c.881.4

Formats: - HTML - YAML - JSON - 2026-01-20T22:56:45.388629

• 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': 7392, 'analytic_conductor': 14.756354293532615, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 21, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 2, 'char_parity': 1, 'char_values': [1848, 2, [463, 925, 617, 1585, 673], [2, 2, 1, 1, 2]], 'cm_discs': [], 'conrey_index': 881, 'dim': 16, 'field_disc': 17389104675817328214016, 'field_disc_factorization': [[2, 28], [2837, 4]], 'field_poly': [16, 0, 0, 0, 436, 0, 0, 0, 388, 0, 0, 0, 40, 0, 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': [[5, [0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9008642397308728, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 2048, 'hecke_ring_index_factorization': [[2, 11]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 21, 3, 1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1848.2.v.c', 'level': 1848, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 11], 'level_radical': 462, 'minimal_twist': '1848.2.v.c', 'prim_orbit_index': 3, 'qexp_display': 'q+\\beta _{7}q^{3}+(\\beta _{6}+\\beta _{9}-\\beta _{12})q^{7}+(-1+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1848.2.v', 'trace_display': [0, 0, 0, 4], 'trace_hash': 1078466155401263, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '12.452', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2008.016', 'prec': 27}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '530408.066', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.768', 'prec': 17}, 'traces': [16, 0, 0, 0, 0, 0, 4, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 16, 0, 0, 0, 0, 0, -24, 0, -40, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -12, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, -40, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 104, 0, 0, 0, 40, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -56, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -20, 0, -104, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 128, 0, -72, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, -8, 0, 0, 0, -40, 0, 0, 0, 0, 0, 152, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, -16, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -176, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, -8, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -104, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 192, 0, 0, 0, 0, 0, 40, 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, 128, 0, 184, 0, 0, 0, -224, 0, 0, 0, 0, 0, 160, 0, -128, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -200, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -100, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 144, 0, 0, 0, 144, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 20, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -96, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 400, 0, -32, 0, 0, 0, -80, 0, 0, 0, 0, 0, 208, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 264, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -56, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, 392, 0, 0, 0, -80, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, -232, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 8, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, 208, 0, 0, 0, 0, 0, -4, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 184, 0, 48, 0, 0, 0, -224, 0, 0, 0, 0, 0, 104, 0, -32, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -184, 0, 0, 0, -592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 328, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, -104, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 352, 0, 0, 0, -344, 0, 0, 0, 0, 0, 248, 0, -120, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, -592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 4, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 192, 0, 0, 0, 0, 0, 40, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -368, 0, 8, 0, 0, 0, -16, 0, 0, 0, 0, 0, 360, 0, -88, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -104, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 8, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 32, 0, 0, 0, -96, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, 0, 0, 496, 0, 0, 0, 0, 0, -216, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 120, 0, -328, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -192, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, -416, 0, 0, 0, 0, 0, -56, 0, -40, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 96, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, -152, 0, 0, 0, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 560, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 344, 0, -64, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 144, 0, 0, 0, -272, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 296, 0, 0, 0, 0, 0, -192, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 360, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -352, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 136, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, -80, 0, 0, 0, -576, 0, 0, 0, 0, 0, 80, 0, -360, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -256, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 48, 0, 0, 0, 0, 0, 232, 0, 0, 0, 0, 0, 60, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 704, 0, 328, 0, 0, 0, 104, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 8, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, -136, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 256, 0, 0, 0, 272, 0, 0, 0, 0, 0, 328, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 288, 0, 0, 0, 256, 0, 0, 0, 0, 0, 144, 0, -176, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -96, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 152, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, -224, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, -440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 360, 0, 0, 0, -176, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -160, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 32, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -272, 0, 0, 0, 0, 0, 104, 0, -336, 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, 208, 0, 56, 0, 0, 0, 24, 0, 0, 0, 0, 0, 200, 0, -120, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -16, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 584, 0, 0, 0, 120, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 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], [-0.779893649558019, 0.6259120508338802], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6711563737340481, -0.7413158044964121], [0.0, 0.0], [0.21646820924185214, -0.9762896672543583], [0.0, 0.0], [0.0, 0.30151134457776363], [0.0, 0.0], [0.0, -1.593237613002052], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8849664443175342, 0.0], [0.0, 0.0], [0.0, 0.09492566230521257], [0.0, 0.0], [0.9874290892434897, 0.15806262592963746], [0.0, 0.0], [0.0, 1.8454015583954966], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.44224928612018505, 0.8968921724076907], [0.0, 0.0], [0.0, 0.24118282391847934], [0.0, 0.0], [0.0, -0.1570910788212199], [0.0, 0.0], [-0.18871958403434877, -0.23514678290589747], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9541786546135623, 0.0], [0.0, 0.0], [0.9972266218197905, 1.242555896617277], [0.0, 0.0], [-0.7364570418865783, 0.0], [0.0, 0.0], [0.008188538227755924, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3940733611217185, 0.0], [0.0, 0.0], 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-0.1428001256911921, -0.4158028383883963, -0.14125265365055892, 0.00648789072395855, 0.05977715057567503, -0.21808900538413797, -0.4595195546941575, 0.0283863469651598, -0.4651574835434943, -0.186357908266134, 0.08421844190312382, -0.48214696389821254, 0.08158244509162528, -0.24373237874734036, -0.38394632202545137, -0.2266376499535107, 0.005604455587598884, -0.3848058946380833, -0.18698410983242825, 0.10108529116052858, -0.16753599154000365, -0.2383961086038403, 0.10861100097469625, -0.4658077544401184, -0.1311462178112465, -0.40000001741026797, -0.2946947102291525, 0.16898075045805386, -0.11314026672264768, 0.14261581593572487, -0.31718706162265037, 0.003244476410738893, -0.4564890442900714, -0.3917967633576547, -0.33519072839533626, 0.059003735782441606, -0.4235561675342853, -0.16577361838069365, -0.2724426005670868, -0.3771238595199447, 0.020125697274355116, -0.27968352887649967, 0.021953531594974693, -0.16130725665124349, 0.03969759209882668, 0.00087004859684961, 0.15319287167255843, -0.11217658251866842, -0.18417189942267084, -0.21631928763153904, -0.32985824230198174, -0.3485733239280576, -0.2637379881077496, 0.0460023672664271, 0.17353198545859616, -0.4165919784295017, -0.2544301574032266, -0.3753493928717145, 0.10229592231227112, -0.12652114806487522, -0.35264051032441285, -0.2132123165410251, -0.34416664319136503, -0.1343485993608484, -0.20544462808423822, -0.37782870804699104, -0.49947704274810983, -0.2085764661329007, -0.30964194284754215, 0.07295922225273943, -0.4692579127243956, 0.06364952210689372, -0.38051218319956365], 'char_orbit_index': 22, 'conrey_index': 881, 'dual_conrey_index': 881, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': -1.3508154255348057, 'embedding_root_real': 1.3508154255348057, 'hecke_orbit': 3, 'hecke_orbit_code': 9008642397308728, 'label': '1848.2.v.c.881.4', 'level': 1848, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 7392, 'analytic_conductor': 14.756354293532615, 'char_conductor': 21, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 22, 'char_orbit_label': 'v', 'char_order': 2, 'char_parity': 1, 'char_values': [1848, 2, [463, 925, 617, 1585, 673], [2, 2, 1, 1, 2]], 'conrey_index': 881, 'cusp_dim': 368, 'dim': 80, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 1443142567736, 'hecke_orbit_dims': [8, 8, 16, 16, 32], 'label': '1848.2.v', 'level': 1848, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 11], 'level_radical': 462, 'mf_dim': 400, 'mf_new_dim': 80, 'num_forms': 5, 'prim_orbit_index': 3, 'relative_dim': 80, 'sturm_bound': 768, 'trace_bound': 7, 'trace_display': [0, 0, 0, 4], 'traces': [80, 0, 0, 0, 0, 0, 4, 0, -8, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 16, 0, 0, 0, 64, 0, 0, 0, 0, 0, -24, 0, 24, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -48, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 8, 0, 0, 0, -32, 0, 0, 0, 0, 0, 8, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 112, 0, 0, 0, -8, 0, 0, 0, 0, 0, -56, 0, 32, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -40, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 52, 0, -88, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 68, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, -72, 0, 0, 0, 64, 0, 0, 0, 0, 0, 8, 0, 48, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 12, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 40, 0, 0, 0, -24, 0, 0, 0, 0, 0, -16, 0, -184, 0, 0, 0, 0, 0, -280, 0, 0, 0, 0, 0, -40, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, -72, 0, 0, 0, 16, 0, 0, 0, 0, 0, 220, 0, 24, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 72, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 24, 0, 0, 0, 80, 0, 0, 0, 0, 0, 24, 0, -24, 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, -160, 0, -160, 0, 0, 0, -192, 0, 0, 0, 0, 0, -184, 0, -24, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 112, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, -152, 0, 0, 0, 96, 0, 0, 0, 0, 0, -88, 0, 184, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -44, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, -200, 0, 0, 0, -208, 0, 0, 0, 0, 0, 24, 0, -80, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, -28, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -232, 0, -152, 0, 0, 0, 288, 0, 0, 0, 0, 0, 24, 0, 120, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -208, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -176, 0, 0, 0, 16, 0, 0, 0, 0, 0, 176, 0, 96, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 24, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 128, 0, -56, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 28, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, 312, 0, 0, 0, 176, 0, 0, 0, 0, 0, 248, 0, 136, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -20, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, -248, 0, 0, 0, 112, 0, 0, 0, 0, 0, -176, 0, -40, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 120, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 376, 0, 0, 0, -32, 0, 0, 0, 0, 0, -88, 0, 32, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 28, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 400, 0, 0, 0, -176, 0, 0, 0, 0, 0, -264, 0, 176, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 264, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -192, 0, 0, 0, -64, 0, 0, 0, 0, 0, -4, 0, 112, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, -152, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 176, 0, 0, 0, 240, 0, 0, 0, 0, 0, 184, 0, 32, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 8, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 408, 0, 112, 0, 0, 0, 48, 0, 0, 0, 0, 0, -240, 0, -144, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 160, 0, 0, 0, -296, 0, 0, 0, 0, 0, 40, 0, 240, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 400, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 41635101
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008642397308728, 'source_is_minimal': True, 'source_label': '1848.2.v.c.881.4', 'source_level': 1848, 'target_conrey_index': 881, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9008642397308728, 'target_is_minimal': True, 'target_label': '1848.2.v.c.881.4', 'target_level': 1848, 'twist_class_label': '1848.2.v.c.881.3', 'twist_class_level': 1848, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41635102
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008642397308728, 'source_is_minimal': True, 'source_label': '1848.2.v.c.881.4', 'source_level': 1848, 'target_conrey_index': 881, 'target_dim': 16, 'target_embedding_index': 14, 'target_hecke_orbit_code': 9008642397308728, 'target_is_minimal': True, 'target_label': '1848.2.v.c.881.14', 'target_level': 1848, 'twist_class_label': '1848.2.v.c.881.3', 'twist_class_level': 1848, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41635103
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008642397308728, 'source_is_minimal': True, 'source_label': '1848.2.v.c.881.4', 'source_level': 1848, 'target_conrey_index': 881, 'target_dim': 16, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9008642397308728, 'target_is_minimal': True, 'target_label': '1848.2.v.c.881.13', 'target_level': 1848, 'twist_class_label': '1848.2.v.c.881.3', 'twist_class_level': 1848, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 41635104
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 881, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008642397308728, 'source_is_minimal': True, 'source_label': '1848.2.v.c.881.4', 'source_level': 1848, 'target_conrey_index': 881, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9008642397308728, 'target_is_minimal': True, 'target_label': '1848.2.v.c.881.3', 'target_level': 1848, 'twist_class_label': '1848.2.v.c.881.3', 'twist_class_level': 1848, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2250850
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 9008642397308728, 'p': 2}
  • id: 2250851
    {'charpoly_factorization': [[[6561, 0, 2916, 0, 972, 0, 396, 0, 166, 0, 44, 0, 12, 0, 4, 0, 1], 1]], 'hecke_orbit_code': 9008642397308728, 'p': 3}
  • id: 2250852
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 9008642397308728, 'p': 5}
  • id: 2250853
    {'charpoly_factorization': [[[2401, -686, 392, -238, 46, -34, 8, -2, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 7}
  • id: 2250854
    {'charpoly_factorization': [[[1, 0, 1], 8]], 'hecke_orbit_code': 9008642397308728, 'p': 11}
  • id: 2250855
    {'charpoly_factorization': [[[1024, 0, 7984, 0, 1528, 0, 72, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 13}
  • id: 2250856
    {'charpoly_factorization': [[[64, 0, -4048, 0, 872, 0, -56, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 17}
  • id: 2250857
    {'charpoly_factorization': [[[1024, 0, 6400, 0, 2464, 0, 100, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 19}
  • id: 2250858
    {'charpoly_factorization': [[[16384, 0, 89088, 0, 6592, 0, 148, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 23}
  • id: 2250859
    {'charpoly_factorization': [[[12544, 0, 9472, 0, 1312, 0, 64, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 29}
  • id: 2250860
    {'charpoly_factorization': [[[23104, 0, 32656, 0, 3288, 0, 104, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 31}
  • id: 2250861
    {'charpoly_factorization': [[[2192, 16, -96, 0, 1], 4]], 'hecke_orbit_code': 9008642397308728, 'p': 37}
  • id: 2250862
    {'charpoly_factorization': [[[1420864, 0, -313296, 0, 15880, 0, -232, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 41}
  • id: 2250863
    {'charpoly_factorization': [[[-16, 304, -112, -4, 1], 4]], 'hecke_orbit_code': 9008642397308728, 'p': 43}
  • id: 2250864
    {'charpoly_factorization': [[[64, 0, -208, 0, 120, 0, -20, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 47}
  • id: 2250865
    {'charpoly_factorization': [[[295936, 0, 119552, 0, 8512, 0, 180, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 53}
  • id: 2250866
    {'charpoly_factorization': [[[57395776, 0, -4874576, 0, 82648, 0, -500, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 59}
  • id: 2250867
    {'charpoly_factorization': [[[92416, 0, 50992, 0, 5656, 0, 168, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 61}
  • id: 2250868
    {'charpoly_factorization': [[[-512, -512, -32, 12, 1], 4]], 'hecke_orbit_code': 9008642397308728, 'p': 67}
  • id: 2250869
    {'charpoly_factorization': [[[243859456, 0, 9515008, 0, 123904, 0, 612, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 71}
  • id: 2250870
    {'charpoly_factorization': [[[4804864, 0, 4271536, 0, 83320, 0, 520, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 73}
  • id: 2250871
    {'charpoly_factorization': [[[2752, -856, -164, 6, 1], 4]], 'hecke_orbit_code': 9008642397308728, 'p': 79}
  • id: 2250872
    {'charpoly_factorization': [[[11505664, 0, -1874432, 0, 50176, 0, -428, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 83}
  • id: 2250873
    {'charpoly_factorization': [[[67108864, 0, -6029312, 0, 102400, 0, -576, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, 'p': 89}
  • id: 2250874
    {'charpoly_factorization': [[[15745024, 0, 1328128, 0, 34432, 0, 336, 0, 1], 2]], 'hecke_orbit_code': 9008642397308728, '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': 22, 'hecke_orbit': 3, 'label': '1848.2.v.c', 'level': 1848, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31957663
    {'hecke_orbit_code': 9008642397308728, 'n': 1, 'trace_an': 16}
  • id: 31957664
    {'hecke_orbit_code': 9008642397308728, 'n': 2, 'trace_an': 0}
  • id: 31957665
    {'hecke_orbit_code': 9008642397308728, 'n': 3, 'trace_an': 0}
  • id: 31957666
    {'hecke_orbit_code': 9008642397308728, 'n': 4, 'trace_an': 0}
  • id: 31957667
    {'hecke_orbit_code': 9008642397308728, 'n': 5, 'trace_an': 0}
  • id: 31957668
    {'hecke_orbit_code': 9008642397308728, 'n': 6, 'trace_an': 0}
  • id: 31957669
    {'hecke_orbit_code': 9008642397308728, 'n': 7, 'trace_an': 4}
  • id: 31957670
    {'hecke_orbit_code': 9008642397308728, 'n': 8, 'trace_an': 0}
  • id: 31957671
    {'hecke_orbit_code': 9008642397308728, 'n': 9, 'trace_an': -8}
  • id: 31957672
    {'hecke_orbit_code': 9008642397308728, 'n': 10, 'trace_an': 0}
  • id: 31957673
    {'hecke_orbit_code': 9008642397308728, 'n': 11, 'trace_an': 0}
  • id: 31957674
    {'hecke_orbit_code': 9008642397308728, 'n': 12, 'trace_an': 0}
  • id: 31957675
    {'hecke_orbit_code': 9008642397308728, 'n': 13, 'trace_an': 0}
  • id: 31957676
    {'hecke_orbit_code': 9008642397308728, 'n': 14, 'trace_an': 0}
  • id: 31957677
    {'hecke_orbit_code': 9008642397308728, 'n': 15, 'trace_an': 0}
  • id: 31957678
    {'hecke_orbit_code': 9008642397308728, 'n': 16, 'trace_an': 0}
  • id: 31957679
    {'hecke_orbit_code': 9008642397308728, 'n': 17, 'trace_an': 0}
  • id: 31957680
    {'hecke_orbit_code': 9008642397308728, 'n': 18, 'trace_an': 0}
  • id: 31957681
    {'hecke_orbit_code': 9008642397308728, 'n': 19, 'trace_an': 0}
  • id: 31957682
    {'hecke_orbit_code': 9008642397308728, 'n': 20, 'trace_an': 0}
  • id: 31957683
    {'hecke_orbit_code': 9008642397308728, 'n': 21, 'trace_an': 20}
  • id: 31957684
    {'hecke_orbit_code': 9008642397308728, 'n': 22, 'trace_an': 0}
  • id: 31957685
    {'hecke_orbit_code': 9008642397308728, 'n': 23, 'trace_an': 0}
  • id: 31957686
    {'hecke_orbit_code': 9008642397308728, 'n': 24, 'trace_an': 0}
  • id: 31957687
    {'hecke_orbit_code': 9008642397308728, 'n': 25, 'trace_an': -80}
  • id: 31957688
    {'hecke_orbit_code': 9008642397308728, 'n': 26, 'trace_an': 0}
  • id: 31957689
    {'hecke_orbit_code': 9008642397308728, 'n': 27, 'trace_an': 0}
  • id: 31957690
    {'hecke_orbit_code': 9008642397308728, 'n': 28, 'trace_an': 0}
  • id: 31957691
    {'hecke_orbit_code': 9008642397308728, 'n': 29, 'trace_an': 0}
  • id: 31957692
    {'hecke_orbit_code': 9008642397308728, 'n': 30, 'trace_an': 0}
  • id: 31957693
    {'hecke_orbit_code': 9008642397308728, 'n': 31, 'trace_an': 0}
  • id: 31957694
    {'hecke_orbit_code': 9008642397308728, 'n': 32, 'trace_an': 0}
  • id: 31957695
    {'hecke_orbit_code': 9008642397308728, 'n': 33, 'trace_an': 0}
  • id: 31957696
    {'hecke_orbit_code': 9008642397308728, 'n': 34, 'trace_an': 0}
  • id: 31957697
    {'hecke_orbit_code': 9008642397308728, 'n': 35, 'trace_an': 0}
  • id: 31957698
    {'hecke_orbit_code': 9008642397308728, 'n': 36, 'trace_an': 0}
  • id: 31957699
    {'hecke_orbit_code': 9008642397308728, 'n': 37, 'trace_an': 0}
  • id: 31957700
    {'hecke_orbit_code': 9008642397308728, 'n': 38, 'trace_an': 0}
  • id: 31957701
    {'hecke_orbit_code': 9008642397308728, 'n': 39, 'trace_an': 24}
  • id: 31957702
    {'hecke_orbit_code': 9008642397308728, 'n': 40, 'trace_an': 0}
  • id: 31957703
    {'hecke_orbit_code': 9008642397308728, 'n': 41, 'trace_an': 0}
  • id: 31957704
    {'hecke_orbit_code': 9008642397308728, 'n': 42, 'trace_an': 0}
  • id: 31957705
    {'hecke_orbit_code': 9008642397308728, 'n': 43, 'trace_an': 16}
  • id: 31957706
    {'hecke_orbit_code': 9008642397308728, 'n': 44, 'trace_an': 0}
  • id: 31957707
    {'hecke_orbit_code': 9008642397308728, 'n': 45, 'trace_an': 0}
  • id: 31957708
    {'hecke_orbit_code': 9008642397308728, 'n': 46, 'trace_an': 0}
  • id: 31957709
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  • id: 31957710
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  • id: 31957711
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  • id: 31957712
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  • id: 31957713
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  • id: 31957714
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  • id: 31957715
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  • id: 31957716
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  • id: 31957717
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  • id: 31957718
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  • id: 31957719
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  • id: 31957720
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  • id: 31957721
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  • id: 31957722
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  • id: 31957723
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  • id: 31957724
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  • id: 31957725
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  • id: 31957726
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  • id: 31957727
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  • id: 31957728
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  • id: 31957729
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  • id: 31957730
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  • id: 31957731
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  • id: 31957732
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  • id: 31957733
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  • id: 31957734
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  • id: 31957735
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  • id: 31957736
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  • id: 31957737
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  • id: 31957738
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  • id: 31957739
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  • id: 31957740
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  • id: 31957741
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  • id: 31957742
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  • id: 31957743
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  • id: 31957744
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  • id: 31957745
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  • id: 31957746
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  • id: 31957747
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  • id: 31957748
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  • id: 31957749
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  • id: 31957750
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  • id: 31957751
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  • id: 31957752
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  • id: 31957753
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  • id: 31957754
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  • id: 31957755
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  • id: 31957756
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  • id: 31957757
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  • id: 31957758
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  • id: 31957759
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  • id: 31957760
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  • id: 31957761
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  • id: 31957762
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  • id: 31957763
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  • id: 31957764
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  • id: 31957765
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  • id: 31957766
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  • id: 31957767
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  • id: 31957768
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  • id: 31957769
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  • id: 31957770
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  • id: 31957771
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  • id: 31957772
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  • id: 31957773
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  • id: 31957774
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  • id: 31957775
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  • id: 31957776
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  • id: 31957777
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  • id: 31957778
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  • id: 31957779
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  • id: 31957780
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  • id: 31957781
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  • id: 31957782
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  • id: 31957783
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  • id: 31957784
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  • id: 31957785
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  • id: 31957786
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  • id: 31957787
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  • id: 31957788
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  • id: 31957789
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  • id: 31957790
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  • id: 31957791
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  • id: 31957792
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  • id: 31957793
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  • id: 31957794
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  • id: 31957795
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  • id: 31957796
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  • id: 31957797
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  • id: 31957798
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  • id: 31957799
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  • id: 31957800
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  • id: 31957801
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  • id: 31957802
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  • id: 31957803
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  • id: 31957804
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  • id: 31957805
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  • id: 31957806
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  • id: 31957807
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  • id: 31957808
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  • id: 31957809
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  • id: 31957810
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  • id: 31957811
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  • id: 31957812
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  • id: 31957813
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  • id: 31957814
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  • id: 31957815
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  • id: 31957816
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  • id: 31957817
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  • id: 31957818
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  • id: 31957819
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  • id: 31957820
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  • id: 31957821
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  • id: 31957822
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  • id: 31957823
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  • id: 31957824
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  • id: 31957825
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  • id: 31957826
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  • id: 31957827
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  • id: 31957828
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  • id: 31957829
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  • id: 31957830
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  • id: 31957831
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  • id: 31957832
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  • id: 31957833
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  • id: 31957834
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  • id: 31957835
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  • id: 31957836
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  • id: 31957837
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  • id: 31957838
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  • id: 31957839
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  • id: 31957840
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  • id: 31957841
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  • id: 31957842
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  • id: 31957843
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  • id: 31957844
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  • id: 31957845
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  • id: 31957846
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  • id: 31957847
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  • id: 31957848
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  • id: 31957849
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  • id: 31957850
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  • id: 31957851
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  • id: 31957852
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  • id: 31957853
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  • id: 31957854
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  • id: 31957855
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  • id: 31957856
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  • id: 31957857
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  • id: 31957858
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  • id: 31957859
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  • id: 31957860
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  • id: 31957861
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  • id: 31957862
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  • id: 31957863
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  • id: 31957864
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  • id: 31957865
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  • id: 31957866
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  • id: 31957867
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  • id: 31957868
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  • id: 31957869
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  • id: 31957870
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  • id: 31957871
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  • id: 31957872
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  • id: 31957873
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  • id: 31957876
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  • id: 31957877
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  • id: 31957878
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  • id: 31957879
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  • id: 31957880
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  • id: 31957881
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  • id: 31957884
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  • id: 31957890
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  • id: 31957895
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  • id: 31957896
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  • id: 31957897
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  • id: 31957898
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  • id: 31957899
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  • id: 31957900
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  • id: 31957902
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    {'hecke_orbit_code': 9008642397308728, 'n': 881, 'trace_an': 0}
  • id: 31957904
    {'hecke_orbit_code': 9008642397308728, 'n': 883, 'trace_an': -224}
  • id: 31957905
    {'hecke_orbit_code': 9008642397308728, 'n': 887, 'trace_an': 0}
  • id: 31957906
    {'hecke_orbit_code': 9008642397308728, 'n': 907, 'trace_an': -592}
  • id: 31957907
    {'hecke_orbit_code': 9008642397308728, 'n': 911, 'trace_an': 0}
  • id: 31957908
    {'hecke_orbit_code': 9008642397308728, 'n': 919, 'trace_an': 328}
  • id: 31957909
    {'hecke_orbit_code': 9008642397308728, 'n': 929, 'trace_an': 0}
  • id: 31957910
    {'hecke_orbit_code': 9008642397308728, 'n': 937, 'trace_an': 0}
  • id: 31957911
    {'hecke_orbit_code': 9008642397308728, 'n': 941, 'trace_an': 0}
  • id: 31957912
    {'hecke_orbit_code': 9008642397308728, 'n': 947, 'trace_an': 0}
  • id: 31957913
    {'hecke_orbit_code': 9008642397308728, 'n': 953, 'trace_an': 0}
  • id: 31957914
    {'hecke_orbit_code': 9008642397308728, 'n': 961, 'trace_an': 80}
  • id: 31957915
    {'hecke_orbit_code': 9008642397308728, 'n': 967, 'trace_an': -344}
  • id: 31957916
    {'hecke_orbit_code': 9008642397308728, 'n': 971, 'trace_an': 0}
  • id: 31957917
    {'hecke_orbit_code': 9008642397308728, 'n': 977, 'trace_an': 0}
  • id: 31957918
    {'hecke_orbit_code': 9008642397308728, 'n': 983, 'trace_an': 0}
  • id: 31957919
    {'hecke_orbit_code': 9008642397308728, 'n': 991, 'trace_an': -592}
  • id: 31957920
    {'hecke_orbit_code': 9008642397308728, 'n': 997, 'trace_an': 0}