Embedded newform data - 3168.2.k.a.1871.12

Formats: - HTML - YAML - JSON - 2025-09-21T05:31:12.728275

• 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': 12672, 'analytic_conductor': 25.296607360341625, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 24, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 2, 'char_parity': 1, 'char_values': [3168, 2, [991, 1189, 353, 1729], [1, 1, 1, 2]], 'cm_discs': [], 'conrey_index': 1871, 'dim': 40, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 687228324960, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 24, 6, 1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '3168.2.k.a', 'level': 3168, '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, 11], 'level_radical': 66, 'minimal_twist': '792.2.k.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 40, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3168.2.k', 'trace_display': [0, 0, 0, 0], 'traces': [40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 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, 0, 0, 0, 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, -96, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, -256, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 16, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 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, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 160, 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, 0, 0, -576, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 704, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -416, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 800, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 608, 0, 0, 0, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 864, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 304, 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], [0.0, 0.0], [0.0, 0.0], [-0.8469442385074666, 0.0], [0.0, 0.0], [0.0, -1.1457417408272683], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.30151134457776363], [0.0, 0.0], [0.0, 1.509567244719252], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.5533220347778143], [0.0, 0.0], [1.3464931369294497, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.61007180496331, 0.0], [0.0, 0.0], [-0.2826854568590075, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.11153669734221223, 0.0], [0.0, 0.0], [0.0, 1.9459916036578229], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9703793662111699], [0.0, 0.0], [0.0, 0.32261320072178584], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.40280445404583], [0.0, 0.0], [-0.4271975305688181, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.04182115702936068, 0.0], [0.0, 0.0], [-0.3127241366738992, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.500631162831668, 0.0], [0.0, 0.0], [0.0, -0.2553632961347764], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 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• mf_newspaces •

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

  
  {'Nk2': 12672, 'analytic_conductor': 25.296607360341625, 'char_conductor': 24, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 11, 'char_orbit_label': 'k', 'char_order': 2, 'char_parity': 1, 'char_values': [3168, 2, [991, 1189, 353, 1729], [1, 1, 1, 2]], 'conrey_index': 1871, 'cusp_dim': 544, 'dim': 40, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_orbit_code': 687228324960, 'hecke_orbit_dims': [40], 'label': '3168.2.k', 'level': 3168, '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, 11], 'level_radical': 66, 'mf_dim': 608, 'mf_new_dim': 40, 'num_forms': 1, 'prim_orbit_index': 6, 'relative_dim': 40, 'sturm_bound': 1152, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 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, 0, 0, 0, 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, -96, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, -256, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 16, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 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, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 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: 8501181
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1871, 'source_dim': 40, 'source_embedding_index': 12, 'source_hecke_orbit_code': 687228324960, 'source_is_minimal': False, 'source_label': '3168.2.k.a.1871.12', 'source_level': 3168, 'target_conrey_index': 1871, 'target_dim': 40, 'target_embedding_index': 12, 'target_hecke_orbit_code': 687228324960, 'target_is_minimal': False, 'target_label': '3168.2.k.a.1871.12', 'target_level': 3168, 'twist_class_label': '792.2.k.a.683.17', 'twist_class_level': 792, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 8501182
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1871, 'source_dim': 40, 'source_embedding_index': 12, 'source_hecke_orbit_code': 687228324960, 'source_is_minimal': False, 'source_label': '3168.2.k.a.1871.12', 'source_level': 3168, 'target_conrey_index': 1871, 'target_dim': 40, 'target_embedding_index': 30, 'target_hecke_orbit_code': 687228324960, 'target_is_minimal': False, 'target_label': '3168.2.k.a.1871.30', 'target_level': 3168, 'twist_class_label': '792.2.k.a.683.17', 'twist_class_level': 792, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 8501183
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1871, 'source_dim': 40, 'source_embedding_index': 12, 'source_hecke_orbit_code': 687228324960, 'source_is_minimal': False, 'source_label': '3168.2.k.a.1871.12', 'source_level': 3168, 'target_conrey_index': 683, 'target_dim': 40, 'target_embedding_index': 18, 'target_hecke_orbit_code': 687228322584, 'target_is_minimal': True, 'target_label': '792.2.k.a.683.18', 'target_level': 792, 'twist_class_label': '792.2.k.a.683.17', 'twist_class_level': 792, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 8501184
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1871, 'source_dim': 40, 'source_embedding_index': 12, 'source_hecke_orbit_code': 687228324960, 'source_is_minimal': False, 'source_label': '3168.2.k.a.1871.12', 'source_level': 3168, 'target_conrey_index': 1871, 'target_dim': 40, 'target_embedding_index': 29, 'target_hecke_orbit_code': 687228324960, 'target_is_minimal': False, 'target_label': '3168.2.k.a.1871.29', 'target_level': 3168, 'twist_class_label': '792.2.k.a.683.17', 'twist_class_level': 792, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 8501185
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1871, 'source_dim': 40, 'source_embedding_index': 12, 'source_hecke_orbit_code': 687228324960, 'source_is_minimal': False, 'source_label': '3168.2.k.a.1871.12', 'source_level': 3168, 'target_conrey_index': 683, 'target_dim': 40, 'target_embedding_index': 24, 'target_hecke_orbit_code': 687228322584, 'target_is_minimal': True, 'target_label': '792.2.k.a.683.24', 'target_level': 792, 'twist_class_label': '792.2.k.a.683.17', 'twist_class_level': 792, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 8501186
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1871, 'source_dim': 40, 'source_embedding_index': 12, 'source_hecke_orbit_code': 687228324960, 'source_is_minimal': False, 'source_label': '3168.2.k.a.1871.12', 'source_level': 3168, 'target_conrey_index': 683, 'target_dim': 40, 'target_embedding_index': 23, 'target_hecke_orbit_code': 687228322584, 'target_is_minimal': True, 'target_label': '792.2.k.a.683.23', 'target_level': 792, 'twist_class_label': '792.2.k.a.683.17', 'twist_class_level': 792, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 8501187
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1871, 'source_dim': 40, 'source_embedding_index': 12, 'source_hecke_orbit_code': 687228324960, 'source_is_minimal': False, 'source_label': '3168.2.k.a.1871.12', 'source_level': 3168, 'target_conrey_index': 683, 'target_dim': 40, 'target_embedding_index': 17, 'target_hecke_orbit_code': 687228322584, 'target_is_minimal': True, 'target_label': '792.2.k.a.683.17', 'target_level': 792, 'twist_class_label': '792.2.k.a.683.17', 'twist_class_level': 792, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 8501188
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1871, 'source_dim': 40, 'source_embedding_index': 12, 'source_hecke_orbit_code': 687228324960, 'source_is_minimal': False, 'source_label': '3168.2.k.a.1871.12', 'source_level': 3168, 'target_conrey_index': 1871, 'target_dim': 40, 'target_embedding_index': 11, 'target_hecke_orbit_code': 687228324960, 'target_is_minimal': False, 'target_label': '3168.2.k.a.1871.11', 'target_level': 3168, 'twist_class_label': '792.2.k.a.683.17', 'twist_class_level': 792, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
• hecke_orbit_code 687228324960 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 11, 'hecke_orbit': 1, 'label': '3168.2.k.a', 'level': 3168, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 10643856
    {'hecke_orbit_code': 687228324960, 'n': 1, 'trace_an': 40}
  • id: 10643857
    {'hecke_orbit_code': 687228324960, 'n': 2, 'trace_an': 0}
  • id: 10643858
    {'hecke_orbit_code': 687228324960, 'n': 3, 'trace_an': 0}
  • id: 10643859
    {'hecke_orbit_code': 687228324960, 'n': 4, 'trace_an': 0}
  • id: 10643860
    {'hecke_orbit_code': 687228324960, 'n': 5, 'trace_an': 0}
  • id: 10643861
    {'hecke_orbit_code': 687228324960, 'n': 6, 'trace_an': 0}
  • id: 10643862
    {'hecke_orbit_code': 687228324960, 'n': 7, 'trace_an': 0}
  • id: 10643863
    {'hecke_orbit_code': 687228324960, 'n': 8, 'trace_an': 0}
  • id: 10643864
    {'hecke_orbit_code': 687228324960, 'n': 9, 'trace_an': 0}
  • id: 10643865
    {'hecke_orbit_code': 687228324960, 'n': 10, 'trace_an': 0}
  • id: 10643866
    {'hecke_orbit_code': 687228324960, 'n': 11, 'trace_an': 0}
  • id: 10643867
    {'hecke_orbit_code': 687228324960, 'n': 12, 'trace_an': 0}
  • id: 10643868
    {'hecke_orbit_code': 687228324960, 'n': 13, 'trace_an': 0}
  • id: 10643869
    {'hecke_orbit_code': 687228324960, 'n': 14, 'trace_an': 0}
  • id: 10643870
    {'hecke_orbit_code': 687228324960, 'n': 15, 'trace_an': 0}
  • id: 10643871
    {'hecke_orbit_code': 687228324960, 'n': 16, 'trace_an': 0}
  • id: 10643872
    {'hecke_orbit_code': 687228324960, 'n': 17, 'trace_an': 0}
  • id: 10643873
    {'hecke_orbit_code': 687228324960, 'n': 18, 'trace_an': 0}
  • id: 10643874
    {'hecke_orbit_code': 687228324960, 'n': 19, 'trace_an': -32}
  • id: 10643875
    {'hecke_orbit_code': 687228324960, 'n': 20, 'trace_an': 0}
  • id: 10643876
    {'hecke_orbit_code': 687228324960, 'n': 21, 'trace_an': 0}
  • id: 10643877
    {'hecke_orbit_code': 687228324960, 'n': 22, 'trace_an': 0}
  • id: 10643878
    {'hecke_orbit_code': 687228324960, 'n': 23, 'trace_an': 0}
  • id: 10643879
    {'hecke_orbit_code': 687228324960, 'n': 24, 'trace_an': 0}
  • id: 10643880
    {'hecke_orbit_code': 687228324960, 'n': 25, 'trace_an': 40}
  • id: 10643881
    {'hecke_orbit_code': 687228324960, 'n': 26, 'trace_an': 0}
  • id: 10643882
    {'hecke_orbit_code': 687228324960, 'n': 27, 'trace_an': 0}
  • id: 10643883
    {'hecke_orbit_code': 687228324960, 'n': 28, 'trace_an': 0}
  • id: 10643884
    {'hecke_orbit_code': 687228324960, 'n': 29, 'trace_an': 0}
  • id: 10643885
    {'hecke_orbit_code': 687228324960, 'n': 30, 'trace_an': 0}
  • id: 10643886
    {'hecke_orbit_code': 687228324960, 'n': 31, 'trace_an': 0}
  • id: 10643887
    {'hecke_orbit_code': 687228324960, 'n': 32, 'trace_an': 0}
  • id: 10643888
    {'hecke_orbit_code': 687228324960, 'n': 33, 'trace_an': 0}
  • id: 10643889
    {'hecke_orbit_code': 687228324960, 'n': 34, 'trace_an': 0}
  • id: 10643890
    {'hecke_orbit_code': 687228324960, 'n': 35, 'trace_an': 0}
  • id: 10643891
    {'hecke_orbit_code': 687228324960, 'n': 36, 'trace_an': 0}
  • id: 10643892
    {'hecke_orbit_code': 687228324960, 'n': 37, 'trace_an': 0}
  • id: 10643893
    {'hecke_orbit_code': 687228324960, 'n': 38, 'trace_an': 0}
  • id: 10643894
    {'hecke_orbit_code': 687228324960, 'n': 39, 'trace_an': 0}
  • id: 10643895
    {'hecke_orbit_code': 687228324960, 'n': 40, 'trace_an': 0}
  • id: 10643896
    {'hecke_orbit_code': 687228324960, 'n': 41, 'trace_an': 0}
  • id: 10643897
    {'hecke_orbit_code': 687228324960, 'n': 42, 'trace_an': 0}
  • id: 10643898
    {'hecke_orbit_code': 687228324960, 'n': 43, 'trace_an': 0}
  • id: 10643899
    {'hecke_orbit_code': 687228324960, 'n': 44, 'trace_an': 0}
  • id: 10643900
    {'hecke_orbit_code': 687228324960, 'n': 45, 'trace_an': 0}
  • id: 10643901
    {'hecke_orbit_code': 687228324960, 'n': 46, 'trace_an': 0}
  • id: 10643902
    {'hecke_orbit_code': 687228324960, 'n': 47, 'trace_an': 0}
  • id: 10643903
    {'hecke_orbit_code': 687228324960, 'n': 48, 'trace_an': 0}
  • id: 10643904
    {'hecke_orbit_code': 687228324960, 'n': 49, 'trace_an': -8}
  • id: 10643905
    {'hecke_orbit_code': 687228324960, 'n': 50, 'trace_an': 0}
  • id: 10643906
    {'hecke_orbit_code': 687228324960, 'n': 51, 'trace_an': 0}
  • id: 10643907
    {'hecke_orbit_code': 687228324960, 'n': 52, 'trace_an': 0}
  • id: 10643908
    {'hecke_orbit_code': 687228324960, 'n': 53, 'trace_an': 0}
  • id: 10643909
    {'hecke_orbit_code': 687228324960, 'n': 54, 'trace_an': 0}
  • id: 10643910
    {'hecke_orbit_code': 687228324960, 'n': 55, 'trace_an': 0}
  • id: 10643911
    {'hecke_orbit_code': 687228324960, 'n': 56, 'trace_an': 0}
  • id: 10643912
    {'hecke_orbit_code': 687228324960, 'n': 57, 'trace_an': 0}
  • id: 10643913
    {'hecke_orbit_code': 687228324960, 'n': 58, 'trace_an': 0}
  • id: 10643914
    {'hecke_orbit_code': 687228324960, 'n': 59, 'trace_an': 0}
  • id: 10643915
    {'hecke_orbit_code': 687228324960, 'n': 60, 'trace_an': 0}
  • id: 10643916
    {'hecke_orbit_code': 687228324960, 'n': 61, 'trace_an': 0}
  • id: 10643917
    {'hecke_orbit_code': 687228324960, 'n': 62, 'trace_an': 0}
  • id: 10643918
    {'hecke_orbit_code': 687228324960, 'n': 63, 'trace_an': 0}
  • id: 10643919
    {'hecke_orbit_code': 687228324960, 'n': 64, 'trace_an': 0}
  • id: 10643920
    {'hecke_orbit_code': 687228324960, 'n': 65, 'trace_an': 0}
  • id: 10643921
    {'hecke_orbit_code': 687228324960, 'n': 66, 'trace_an': 0}
  • id: 10643922
    {'hecke_orbit_code': 687228324960, 'n': 67, 'trace_an': 0}
  • id: 10643923
    {'hecke_orbit_code': 687228324960, 'n': 68, 'trace_an': 0}
  • id: 10643924
    {'hecke_orbit_code': 687228324960, 'n': 69, 'trace_an': 0}
  • id: 10643925
    {'hecke_orbit_code': 687228324960, 'n': 70, 'trace_an': 0}
  • id: 10643926
    {'hecke_orbit_code': 687228324960, 'n': 71, 'trace_an': 0}
  • id: 10643927
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  • id: 10643928
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  • id: 10643929
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  • id: 10643930
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  • id: 10643944
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  • id: 10643946
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  • id: 10643947
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  • id: 10643948
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  • id: 10643951
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  • id: 10643952
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  • id: 10643953
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  • id: 10643962
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  • id: 10643971
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  • id: 10643990
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  • id: 10643992
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  • id: 10643998
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  • id: 10644000
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  • id: 10644004
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  • id: 10644018
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  • id: 10644020
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  • id: 10644021
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  • id: 10644022
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  • id: 10644023
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  • id: 10644024
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  • id: 10644025
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  • id: 10644026
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  • id: 10644027
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  • id: 10644028
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  • id: 10644029
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  • id: 10644030
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  • id: 10644031
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  • id: 10644032
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  • id: 10644033
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  • id: 10644034
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  • id: 10644035
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  • id: 10644036
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  • id: 10644037
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  • id: 10644038
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  • id: 10644039
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  • id: 10644040
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  • id: 10644041
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  • id: 10644042
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  • id: 10644043
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  • id: 10644044
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  • id: 10644045
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  • id: 10644046
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  • id: 10644047
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  • id: 10644048
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  • id: 10644049
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  • id: 10644050
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  • id: 10644051
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  • id: 10644052
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  • id: 10644053
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  • id: 10644054
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  • id: 10644055
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  • id: 10644056
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  • id: 10644057
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  • id: 10644058
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  • id: 10644059
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  • id: 10644060
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  • id: 10644061
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  • id: 10644062
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  • id: 10644063
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  • id: 10644064
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  • id: 10644065
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  • id: 10644066
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  • id: 10644067
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  • id: 10644068
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  • id: 10644069
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  • id: 10644070
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  • id: 10644071
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  • id: 10644072
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  • id: 10644073
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  • id: 10644074
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  • id: 10644075
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  • id: 10644076
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  • id: 10644077
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  • id: 10644078
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  • id: 10644079
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  • id: 10644080
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  • id: 10644081
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  • id: 10644082
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  • id: 10644083
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  • id: 10644084
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  • id: 10644085
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  • id: 10644086
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  • id: 10644087
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  • id: 10644088
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  • id: 10644089
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  • id: 10644090
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  • id: 10644091
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  • id: 10644092
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  • id: 10644093
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  • id: 10644094
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  • id: 10644096
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  • id: 10644097
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  • id: 10644100
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