Embedded newform data - 2268.2.bm.i.593.5

Formats: - HTML - YAML - JSON - 2025-09-12T17:59:14.062554

• 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': 9072, 'analytic_conductor': 18.11007117842639, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 63, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 39, 'char_orbit_label': 'bm', 'char_order': 6, 'char_parity': 1, 'char_values': [2268, 6, [1135, 1541, 325], [6, 1, 5]], 'cm_discs': [], 'conrey_index': 593, 'dim': 12, 'field_disc': 17213603549184, 'field_disc_factorization': [[2, 12], [3, 6], [7, 8]], 'field_poly': [1, 0, -6, 0, 31, 0, -28, 0, 19, 0, -5, 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, [-27, 0, 54, 0, -15, 0, 1]], [13, [1323, -1323, 441, 0, -21, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36031408392636636, 'hecke_ring_generator_nbound': 19, 'hecke_ring_index': 19683, 'hecke_ring_index_factorization': [[3, 9]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 63, 11, -1, 6, 0], [1, 1, 3, 2, -1, 2, 0], [1, 1, 63, 19, 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': False, 'label': '2268.2.bm.i', 'level': 2268, '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], 'level_radical': 42, 'minimal_twist': '756.2.t.e', 'nf_label': '12.0.17213603549184.1', 'prim_orbit_index': 19, 'qexp_display': 'q-\\beta _{5}q^{5}-\\beta _{3}q^{7}+(-\\beta _{1}-\\beta _{7})q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2268.2.bm', 'trace_display': [0, 0, 0, 0], 'trace_hash': 335145678695172291, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.638', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '955.036', 'prec': 24}, {'__RealLiteral__': 0, 'data': '463.103', 'prec': 24}, {'__RealLiteral__': 0, 'data': '158601.206', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.620', 'prec': 17}, 'traces': [12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 102, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 162, 0, 0, 0, 0, 0, -270, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -150, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 306, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -126, 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, 252, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 138, 0, 0, 0, 0, 0, 198, 0, 0, 0, 0, 0, 102, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 198, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -138, 0, 0, 0, 0, 0, 306, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -252, 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, -96, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, -234, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -228, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 186, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -324, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -210, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -234, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -174, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -342, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, 210, 0, 0, 0, 0, 0, 504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 300, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 270, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, -306, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, -378, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 378, 0, 0, 0, 0, 0, 270, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, -294, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, -186, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 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], [0.9659062476516148, 0.0], [0.0, 0.0], [0.8959532196631048, 0.4441484303420607], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.40255551596320854], [0.0, 0.0], [0.5645028031327584, -0.32591584534699636], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.873529780206512, 1.512997961242153], [0.0, 0.0], [0.23814092065230688, 0.13749072464367468], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.5016467312748092], [0.0, 0.0], [-0.06702512074757729, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9885014831467662, -0.5707115973891298], [0.0, 0.0], [1.2772466206012292, 0.7374186802256595], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8654068124761726, 0.42900574375205447], [0.0, 0.0], [0.4230604098821022, -0.7327621245867154], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.34923087886187143, 0.6048856257606933], [0.0, 0.0], [0.050696197440362994, -0.08780838971725198], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.15752194032021472, -0.27283600394144436], [0.0, 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-0.27130974204646496, -0.19848678646602302, -0.17396730168722296, 0.06527989085797208, -0.39475268024947435, -0.36915825487194215, -0.47797415656883196, -0.4893007815717758, -0.10966064064905813, -0.10443868307722233, -0.32350631835364035, -0.03882439161866712, -0.47530610214013236, -0.29777817465082806, -0.45469508875599657, -0.20204146703517636, -0.49128238916695727, -0.2719757873705581, 0.21765724527291888, -0.08085948023308193, -0.3040495774117848, -0.4205920027414715, -0.417797460861029, -0.21458949614775857, 0.19393729457568182, -0.09255059105370415, -0.03408400114465547, -0.393149510262414, -0.48907560910478254, -0.38282331306374584, -0.36557198672491875, -0.44971290115763146, 0.0069802825638751505, 0.011098975694271861, -0.4193060821150164, -0.3126101630698154, -0.402533008364054, -0.308319102851178, 0.26900653760139065, -0.2270267465217038, -0.47941594333433396, -0.06524068594200155, 0.08481665358665738], 'char_orbit_index': 39, 'conrey_index': 593, 'dual_conrey_index': 1025, 'dual_embedding_index': 5, 'dual_embedding_m': 11, 'embedding_index': 5, 'embedding_m': 5, 'embedding_root_imag': 0.2225209339563144, 'embedding_root_real': -0.38541756336001515, 'hecke_orbit': 9, 'hecke_orbit_code': 36031408392636636, 'label': '2268.2.bm.i.593.5', 'level': 2268, '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': 9072, 'analytic_conductor': 18.11007117842639, 'char_conductor': 63, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 39, 'char_orbit_label': 'bm', 'char_order': 6, 'char_parity': 1, 'char_values': [2268, 6, [1135, 1541, 325], [6, 1, 5]], 'conrey_index': 593, 'cusp_dim': 792, 'dim': 64, 'eis_dim': 144, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 13], 'hecke_orbit_code': 2611373672668, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 4, 4, 12, 32], 'label': '2268.2.bm', 'level': 2268, '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], 'level_radical': 42, 'mf_dim': 936, 'mf_new_dim': 64, 'num_forms': 10, 'prim_orbit_index': 19, 'relative_dim': 32, 'sturm_bound': 864, 'trace_bound': 13, 'trace_display': [0, 0, 0, 5], 'traces': [64, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, -29, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 39, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -9, 0, 0, 0, 0, 0, -15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, -9, 0, 0, 0, 0, 0, 69, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 70, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, 55, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -77, 0, 0, 0, 0, 0, 105, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, -23, 0, 0, 0, 0, 0, 81, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 89, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -195, 0, 0, 0, 0, 0, 46, 0, 0, 0, 0, 0, 70, 0, 0, 0, 0, 0, -154, 0, 0, 0, 0, 0, 51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -98, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -330, 0, 0, 0, 0, 0, -69, 0, 0, 0, 0, 0, -42, 0, 0, 0, 0, 0, -118, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -58, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -138, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -111, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, 198, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -91, 0, 0, 0, 0, 0, -161, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, -196, 0, 0, 0, 0, 0, 33, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 138, 0, 0, 0, 0, 0, 354, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -49, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 376, 0, 0, 0, 0, 0, -46, 0, 0, 0, 0, 0, 114, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, -234, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 106, 0, 0, 0, 0, 0, 309, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -210, 0, 0, 0, 0, 0, 174, 0, 0, 0, 0, 0, -225, 0, 0, 0, 0, 0, -77, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 129, 0, 0, 0, 0, 0, 174, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, 0, -194, 0, 0, 0, 0, 0, 230, 0, 0, 0, 0, 0, -126, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, -51, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -306, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 65, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 62, 0, 0, 0, 0, 0, -89, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 198, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -178, 0, 0, 0, 0, 0, -284, 0, 0, 0, 0, 0, 169, 0, 0, 0, 0, 0, 504, 0, 0, 0, 0, 0, 324, 0, 0, 0, 0, 0, 622, 0, 0, 0, 0, 0, 396, 0, 0, 0, 0, 0, 196, 0, 0, 0, 0, 0, -41, 0, 0, 0, 0, 0, -90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -273, 0, 0, 0, 0, 0, 630, 0, 0, 0, 0, 0, 58, 0, 0, 0, 0, 0, -73, 0, 0, 0, 0, 0, 525, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -83, 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: 46765613
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 593, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 36031408392636636, 'target_is_minimal': False, 'target_label': '2268.2.bm.i.593.5', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46765614
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 593, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36031408392636636, 'target_is_minimal': False, 'target_label': '2268.2.bm.i.593.2', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46765615
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 269, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 36030308881008860, 'target_is_minimal': False, 'target_label': '2268.2.w.i.269.5', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46765616
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 593, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18015704213095156, 'target_is_minimal': True, 'target_label': '756.2.t.e.593.5', 'target_level': 756, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46765617
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 1349, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36030308881008860, 'target_is_minimal': False, 'target_label': '2268.2.w.i.1349.2', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46765618
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 1349, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 36030308881008860, 'target_is_minimal': False, 'target_label': '2268.2.w.i.1349.5', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46765619
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 593, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015704213095156, 'target_is_minimal': True, 'target_label': '756.2.t.e.593.2', 'target_level': 756, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 46765620
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 269, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36030308881008860, 'target_is_minimal': False, 'target_label': '2268.2.w.i.269.2', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 46765621
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 2645, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014742140425388, 'target_is_minimal': False, 'target_label': '5292.2.f.e.2645.4', 'target_level': 5292, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '63.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46765622
    {'conductor': 63, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 2645, 'target_dim': 12, 'target_embedding_index': 9, 'target_hecke_orbit_code': 18014742140425388, 'target_is_minimal': False, 'target_label': '5292.2.f.e.2645.9', 'target_level': 5292, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '63.16', 'twisting_conrey_index': 16, 'weight': 2}
  • id: 46765623
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 1025, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36031408392636636, 'target_is_minimal': False, 'target_label': '2268.2.bm.i.1025.2', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '63.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 46765624
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 269, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18015704213095156, 'target_is_minimal': True, 'target_label': '756.2.t.e.269.2', 'target_level': 756, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '63.38', 'twisting_conrey_index': 38, 'weight': 2}
  • id: 46765625
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 2645, 'target_dim': 12, 'target_embedding_index': 10, 'target_hecke_orbit_code': 18014742140425388, 'target_is_minimal': False, 'target_label': '5292.2.f.e.2645.10', 'target_level': 5292, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '63.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 46765626
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 269, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18015704213095156, 'target_is_minimal': True, 'target_label': '756.2.t.e.269.5', 'target_level': 756, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '63.52', 'twisting_conrey_index': 52, 'weight': 2}
  • id: 46765627
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 1025, 'target_dim': 12, 'target_embedding_index': 5, 'target_hecke_orbit_code': 36031408392636636, 'target_is_minimal': False, 'target_label': '2268.2.bm.i.1025.5', 'target_level': 2268, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '63.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 46765628
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 593, 'source_dim': 12, 'source_embedding_index': 5, 'source_hecke_orbit_code': 36031408392636636, 'source_is_minimal': False, 'source_label': '2268.2.bm.i.593.5', 'source_level': 2268, 'target_conrey_index': 2645, 'target_dim': 12, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18014742140425388, 'target_is_minimal': False, 'target_label': '5292.2.f.e.2645.3', 'target_level': 5292, 'twist_class_label': '756.2.t.e.269.2', 'twist_class_level': 756, 'twisting_char_label': '63.61', 'twisting_conrey_index': 61, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2537350
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 36031408392636636, 'p': 2}
  • id: 2537351
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 36031408392636636, 'p': 3}
  • id: 2537352
    {'charpoly_factorization': [[[-27, 0, 54, 0, -15, 0, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 5}
  • id: 2537353
    {'charpoly_factorization': [[[343, 0, 0, -7, 0, 0, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 7}
  • id: 2537354
    {'charpoly_factorization': [[[729, 0, 486, 0, 45, 0, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 11}
  • id: 2537355
    {'charpoly_factorization': [[[1323, -1323, 441, 0, -21, 0, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 13}
  • id: 2537356
    {'charpoly_factorization': [[[2492305929, 0, 208927755, 0, 11823003, 0, 377244, 0, 8811, 0, 114, 0, 1], 1]], 'hecke_orbit_code': 36031408392636636, 'p': 17}
  • id: 2537357
    {'charpoly_factorization': [[[27, -108, 171, -108, 15, 9, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 19}
  • id: 2537358
    {'charpoly_factorization': [[[729, 0, 405, 0, 54, 0, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 23}
  • id: 2537359
    {'charpoly_factorization': [[[15178486401, 0, -938052414, 0, 39123243, 0, -918540, 0, 15795, 0, -153, 0, 1], 1]], 'hecke_orbit_code': 36031408392636636, 'p': 29}
  • id: 2537360
    {'charpoly_factorization': [[[1323, 3969, 3969, 0, -63, 0, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 31}
  • id: 2537361
    {'charpoly_factorization': [[[142129, 5655, 4749, 574, 159, 12, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 37}
  • id: 2537362
    {'charpoly_factorization': [[[18525115449, 0, 1378083375, 0, 77199723, 0, 1611036, 0, 24471, 0, 186, 0, 1], 1]], 'hecke_orbit_code': 36031408392636636, 'p': 41}
  • id: 2537363
    {'charpoly_factorization': [[[169, -234, 363, 28, 27, -3, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 43}
  • id: 2537364
    {'charpoly_factorization': [[[729, 0, 1458, 0, 2511, 0, 756, 0, 171, 0, 15, 0, 1], 1]], 'hecke_orbit_code': 36031408392636636, 'p': 47}
  • id: 2537365
    {'charpoly_factorization': [[[15178486401, 0, -1526829993, 0, 124757415, 0, -2653560, 0, 42363, 0, -234, 0, 1], 1]], 'hecke_orbit_code': 36031408392636636, 'p': 53}
  • id: 2537366
    {'charpoly_factorization': [[[118861526169, 0, 8024014062, 0, 437215887, 0, 6362496, 0, 68535, 0, 303, 0, 1], 1]], 'hecke_orbit_code': 36031408392636636, 'p': 59}
  • id: 2537367
    {'charpoly_factorization': [[[22707, -19575, 6408, -675, -48, 9, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 61}
  • id: 2537368
    {'charpoly_factorization': [[[247009, -73059, 21609, -994, 147, 0, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 67}
  • id: 2537369
    {'charpoly_factorization': [[[35721, 0, 7938, 0, 189, 0, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 71}
  • id: 2537370
    {'charpoly_factorization': [[[4563, -7020, 4653, -1620, 303, -27, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 73}
  • id: 2537371
    {'charpoly_factorization': [[[142129, -5655, 4749, -574, 159, -12, 1], 2]], 'hecke_orbit_code': 36031408392636636, 'p': 79}
  • id: 2537372
    {'charpoly_factorization': [[[177978515625, 0, 14238281250, 0, 980859375, 0, 11812500, 0, 106875, 0, 375, 0, 1], 1]], 'hecke_orbit_code': 36031408392636636, 'p': 83}
  • id: 2537373
    {'charpoly_factorization': [[[729, 0, 27, 0, 1], 3]], 'hecke_orbit_code': 36031408392636636, 'p': 89}
  • id: 2537374
    {'charpoly_factorization': [[[1728, -3456, 2736, -864, 60, 18, 1], 2]], 'hecke_orbit_code': 36031408392636636, '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': 39, 'hecke_orbit': 9, 'label': '2268.2.bm.i', 'level': 2268, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 52300447
    {'hecke_orbit_code': 36031408392636636, 'n': 1, 'trace_an': 12}
  • id: 52300448
    {'hecke_orbit_code': 36031408392636636, 'n': 2, 'trace_an': 0}
  • id: 52300449
    {'hecke_orbit_code': 36031408392636636, 'n': 3, 'trace_an': 0}
  • id: 52300450
    {'hecke_orbit_code': 36031408392636636, 'n': 4, 'trace_an': 0}
  • id: 52300451
    {'hecke_orbit_code': 36031408392636636, 'n': 5, 'trace_an': 0}
  • id: 52300452
    {'hecke_orbit_code': 36031408392636636, 'n': 6, 'trace_an': 0}
  • id: 52300453
    {'hecke_orbit_code': 36031408392636636, 'n': 7, 'trace_an': 0}
  • id: 52300454
    {'hecke_orbit_code': 36031408392636636, 'n': 8, 'trace_an': 0}
  • id: 52300455
    {'hecke_orbit_code': 36031408392636636, 'n': 9, 'trace_an': 0}
  • id: 52300456
    {'hecke_orbit_code': 36031408392636636, 'n': 10, 'trace_an': 0}
  • id: 52300457
    {'hecke_orbit_code': 36031408392636636, 'n': 11, 'trace_an': 0}
  • id: 52300458
    {'hecke_orbit_code': 36031408392636636, 'n': 12, 'trace_an': 0}
  • id: 52300459
    {'hecke_orbit_code': 36031408392636636, 'n': 13, 'trace_an': 0}
  • id: 52300460
    {'hecke_orbit_code': 36031408392636636, 'n': 14, 'trace_an': 0}
  • id: 52300461
    {'hecke_orbit_code': 36031408392636636, 'n': 15, 'trace_an': 0}
  • id: 52300462
    {'hecke_orbit_code': 36031408392636636, 'n': 16, 'trace_an': 0}
  • id: 52300463
    {'hecke_orbit_code': 36031408392636636, 'n': 17, 'trace_an': 0}
  • id: 52300464
    {'hecke_orbit_code': 36031408392636636, 'n': 18, 'trace_an': 0}
  • id: 52300465
    {'hecke_orbit_code': 36031408392636636, 'n': 19, 'trace_an': -18}
  • id: 52300466
    {'hecke_orbit_code': 36031408392636636, 'n': 20, 'trace_an': 0}
  • id: 52300467
    {'hecke_orbit_code': 36031408392636636, 'n': 21, 'trace_an': 0}
  • id: 52300468
    {'hecke_orbit_code': 36031408392636636, 'n': 22, 'trace_an': 0}
  • id: 52300469
    {'hecke_orbit_code': 36031408392636636, 'n': 23, 'trace_an': 0}
  • id: 52300470
    {'hecke_orbit_code': 36031408392636636, 'n': 24, 'trace_an': 0}
  • id: 52300471
    {'hecke_orbit_code': 36031408392636636, 'n': 25, 'trace_an': 0}
  • id: 52300472
    {'hecke_orbit_code': 36031408392636636, 'n': 26, 'trace_an': 0}
  • id: 52300473
    {'hecke_orbit_code': 36031408392636636, 'n': 27, 'trace_an': 0}
  • id: 52300474
    {'hecke_orbit_code': 36031408392636636, 'n': 28, 'trace_an': 0}
  • id: 52300475
    {'hecke_orbit_code': 36031408392636636, 'n': 29, 'trace_an': 0}
  • id: 52300476
    {'hecke_orbit_code': 36031408392636636, 'n': 30, 'trace_an': 0}
  • id: 52300477
    {'hecke_orbit_code': 36031408392636636, 'n': 31, 'trace_an': 0}
  • id: 52300478
    {'hecke_orbit_code': 36031408392636636, 'n': 32, 'trace_an': 0}
  • id: 52300479
    {'hecke_orbit_code': 36031408392636636, 'n': 33, 'trace_an': 0}
  • id: 52300480
    {'hecke_orbit_code': 36031408392636636, 'n': 34, 'trace_an': 0}
  • id: 52300481
    {'hecke_orbit_code': 36031408392636636, 'n': 35, 'trace_an': 0}
  • id: 52300482
    {'hecke_orbit_code': 36031408392636636, 'n': 36, 'trace_an': 0}
  • id: 52300483
    {'hecke_orbit_code': 36031408392636636, 'n': 37, 'trace_an': -24}
  • id: 52300484
    {'hecke_orbit_code': 36031408392636636, 'n': 38, 'trace_an': 0}
  • id: 52300485
    {'hecke_orbit_code': 36031408392636636, 'n': 39, 'trace_an': 0}
  • id: 52300486
    {'hecke_orbit_code': 36031408392636636, 'n': 40, 'trace_an': 0}
  • id: 52300487
    {'hecke_orbit_code': 36031408392636636, 'n': 41, 'trace_an': 0}
  • id: 52300488
    {'hecke_orbit_code': 36031408392636636, 'n': 42, 'trace_an': 0}
  • id: 52300489
    {'hecke_orbit_code': 36031408392636636, 'n': 43, 'trace_an': 6}
  • id: 52300490
    {'hecke_orbit_code': 36031408392636636, 'n': 44, 'trace_an': 0}
  • id: 52300491
    {'hecke_orbit_code': 36031408392636636, 'n': 45, 'trace_an': 0}
  • id: 52300492
    {'hecke_orbit_code': 36031408392636636, 'n': 46, 'trace_an': 0}
  • id: 52300493
    {'hecke_orbit_code': 36031408392636636, 'n': 47, 'trace_an': 0}
  • id: 52300494
    {'hecke_orbit_code': 36031408392636636, 'n': 48, 'trace_an': 0}
  • id: 52300495
    {'hecke_orbit_code': 36031408392636636, 'n': 49, 'trace_an': 0}
  • id: 52300496
    {'hecke_orbit_code': 36031408392636636, 'n': 50, 'trace_an': 0}
  • id: 52300497
    {'hecke_orbit_code': 36031408392636636, 'n': 51, 'trace_an': 0}
  • id: 52300498
    {'hecke_orbit_code': 36031408392636636, 'n': 52, 'trace_an': 0}
  • id: 52300499
    {'hecke_orbit_code': 36031408392636636, 'n': 53, 'trace_an': 0}
  • id: 52300500
    {'hecke_orbit_code': 36031408392636636, 'n': 54, 'trace_an': 0}
  • id: 52300501
    {'hecke_orbit_code': 36031408392636636, 'n': 55, 'trace_an': 0}
  • id: 52300502
    {'hecke_orbit_code': 36031408392636636, 'n': 56, 'trace_an': 0}
  • id: 52300503
    {'hecke_orbit_code': 36031408392636636, 'n': 57, 'trace_an': 0}
  • id: 52300504
    {'hecke_orbit_code': 36031408392636636, 'n': 58, 'trace_an': 0}
  • id: 52300505
    {'hecke_orbit_code': 36031408392636636, 'n': 59, 'trace_an': 0}
  • id: 52300506
    {'hecke_orbit_code': 36031408392636636, 'n': 60, 'trace_an': 0}
  • id: 52300507
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  • id: 52300508
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  • id: 52300509
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  • id: 52300510
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  • id: 52300511
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  • id: 52300512
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  • id: 52300513
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  • id: 52300514
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  • id: 52300515
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  • id: 52300516
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  • id: 52300517
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  • id: 52300518
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  • id: 52300519
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  • id: 52300520
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  • id: 52300521
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  • id: 52300522
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  • id: 52300523
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  • id: 52300524
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  • id: 52300525
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  • id: 52300526
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  • id: 52300527
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  • id: 52300528
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  • id: 52300529
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  • id: 52300530
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  • id: 52300531
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  • id: 52300532
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  • id: 52300533
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  • id: 52300534
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  • id: 52300535
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  • id: 52300536
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  • id: 52300537
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  • id: 52300538
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  • id: 52300539
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  • id: 52300540
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  • id: 52300541
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  • id: 52300542
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  • id: 52300543
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  • id: 52300544
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  • id: 52300545
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  • id: 52300546
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  • id: 52300547
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  • id: 52300548
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  • id: 52300549
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  • id: 52300550
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  • id: 52300551
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  • id: 52300552
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  • id: 52300553
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  • id: 52300554
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  • id: 52300555
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  • id: 52300556
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  • id: 52300557
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  • id: 52300558
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  • id: 52300559
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  • id: 52300560
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  • id: 52300561
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  • id: 52300562
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  • id: 52300563
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  • id: 52300564
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  • id: 52300565
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  • id: 52300566
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  • id: 52300567
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  • id: 52300568
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  • id: 52300569
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  • id: 52300570
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  • id: 52300571
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  • id: 52300572
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  • id: 52300573
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  • id: 52300574
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  • id: 52300575
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  • id: 52300576
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  • id: 52300577
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  • id: 52300578
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  • id: 52300579
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  • id: 52300580
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  • id: 52300581
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  • id: 52300582
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  • id: 52300583
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  • id: 52300584
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  • id: 52300585
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  • id: 52300586
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  • id: 52300587
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  • id: 52300588
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  • id: 52300589
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  • id: 52300590
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  • id: 52300591
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  • id: 52300592
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  • id: 52300593
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  • id: 52300594
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  • id: 52300595
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  • id: 52300596
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  • id: 52300597
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  • id: 52300598
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  • id: 52300599
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  • id: 52300600
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  • id: 52300601
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  • id: 52300602
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  • id: 52300603
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  • id: 52300604
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  • id: 52300605
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  • id: 52300606
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  • id: 52300607
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  • id: 52300608
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  • id: 52300609
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  • id: 52300610
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  • id: 52300611
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  • id: 52300612
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  • id: 52300613
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  • id: 52300614
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  • id: 52300615
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  • id: 52300616
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  • id: 52300617
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  • id: 52300618
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  • id: 52300619
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  • id: 52300620
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  • id: 52300621
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  • id: 52300622
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  • id: 52300623
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  • id: 52300624
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  • id: 52300625
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  • id: 52300626
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  • id: 52300627
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  • id: 52300628
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  • id: 52300629
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  • id: 52300630
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  • id: 52300631
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  • id: 52300632
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  • id: 52300633
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  • id: 52300634
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  • id: 52300635
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  • id: 52300636
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  • id: 52300637
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  • id: 52300638
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  • id: 52300639
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  • id: 52300640
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  • id: 52300641
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  • id: 52300642
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  • id: 52300643
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  • id: 52300644
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  • id: 52300645
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  • id: 52300646
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  • id: 52300647
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  • id: 52300648
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  • id: 52300649
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  • id: 52300650
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  • id: 52300651
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  • id: 52300652
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  • id: 52300653
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  • id: 52300654
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  • id: 52300655
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  • id: 52300656
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  • id: 52300657
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  • id: 52300658
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  • id: 52300659
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  • id: 52300660
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  • id: 52300661
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  • id: 52300662
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  • id: 52300663
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  • id: 52300664
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  • id: 52300665
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  • id: 52300666
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  • id: 52300667
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  • id: 52300668
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  • id: 52300669
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  • id: 52300670
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  • id: 52300671
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  • id: 52300672
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  • id: 52300679
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  • id: 52300680
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  • id: 52300681
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  • id: 52300682
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  • id: 52300687
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  • id: 52300688
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  • id: 52300689
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  • id: 52300690
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  • id: 52300692
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  • id: 52300693
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  • id: 52300694
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  • id: 52300695
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  • id: 52300697
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  • id: 52300698
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  • id: 52300699
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  • id: 52300700
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  • id: 52300701
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  • id: 52300702
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  • id: 52300703
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  • id: 52300704
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