Embedded newform data - 1210.2.b.i.969.3

Formats: - HTML - YAML - JSON - 2024-05-11T09:41:24.893431

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 4840, 'analytic_conductor': 9.661898644574926, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [1210, 2, [727, 1091], [1, 2]], 'cm_discs': [], 'conrey_index': 969, 'conrey_indexes': [969], 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [4, 0, 8, 0, 1]], [13, [121, 0, 26, 0, 1]], [19, [-26, 2, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028865771996346, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1210.2.b.i', 'level': 1210, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 11], 'level_radical': 110, 'minimal_twist': '1210.2.b.i', 'nf_label': '4.0.144.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\zeta_{12}^{3}q^{2}+(1-2\\zeta_{12}^{2}+\\zeta_{12}^{3})q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1210.2.b', 'trace_display': [0, 0, 4, 0], 'trace_hash': 137176722494501866, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.005', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.754', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '72.710', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2007.811', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.513', 'prec': 17}, 'traces': [4, 0, 0, -4, 4, -4, 0, 0, -4, 2, 0, 0, 0, -12, -10, 4, 0, 0, -4, -4, -24, 0, 0, 4, -6, 4, 0, 0, -8, -10, 28, 0, 0, 0, -6, 4, 0, 0, 28, -2, 28, 0, 0, 0, -16, 4, 0, 0, -20, -8, 12, 0, 0, 16, 0, 12, 0, 0, 0, 10, 8, 0, 0, -4, 22, 0, 0, 0, -8, -18, 0, 0, 0, 4, -26, 4, 0, 0, 36, 4, 4, 0, 0, 24, 12, 24, 0, 0, 12, 22, 36, 0, 0, -20, -22, -4, 0, 0, 0, 6, -40, 0, 0, -4, -48, 12, 0, 0, 40, 0, -44, 0, 0, 40, -14, 8, 0, 0, 12, 10, 0, 0, 0, -28, -8, 36, 0, 0, 0, 16, -8, 0, 0, -36, -8, 0, 0, 0, -44, 6, -8, 0, 0, -4, -2, 24, 0, 0, 8, -18, -16, 0, 0, 0, 22, -28, 0, 0, 12, 2, 0, 0, 0, -28, 0, -20, 0, 0, 0, 6, 76, 0, 0, -4, -42, 0, 0, 0, 32, 16, 0, 0, 0, -4, -50, -16, 0, 0, 48, 34, -8, 0, 0, 48, 46, 20, 0, 0, 80, 8, -48, 0, 0, -12, 16, -32, 0, 0, 0, 36, -64, 0, 0, -12, -36, -16, 0, 0, -24, 0, -24, 0, 0, -12, -42, 48, 0, 0, -72, -2, 0, 0, 0, -52, 22, 0, 0, 0, -60, -10, -8, 0, 0, -8, -56, -4, 0, 0, -32, -44, -4, 0, 0, -32, 18, 4, 0, 0, -36, -22, -16, 0, 0, 0, -6, 48, 0, 0, 0, 16, 16, 0, 0, 24, 0, 8, 0, 0, -4, 18, -72, 0, 0, 0, 28, 0, 0, 0, 56, -16, 12, 0, 0, 92, 48, -4, 0, 0, 20, 26, 48, 0, 0, -4, -16, -24, 0, 0, -32, 26, 8, 0, 0, -40, 66, -36, 0, 0, 0, -4, 48, 0, 0, -4, 44, 12, 0, 0, -48, 0, -24, 0, 0, -8, 6, -24, 0, 0, 84, -12, 0, 0, 0, -24, -8, -40, 0, 0, -56, -6, -16, 0, 0, -96, -24, -12, 0, 0, 36, -22, 36, 0, 0, -36, -60, 40, 0, 0, 20, -20, 36, 0, 0, 0, -44, 20, 0, 0, 40, 22, 64, 0, 0, 4, 0, 32, 0, 0, -120, -22, 12, 0, 0, -68, 42, 0, 0, 0, 168, -6, -60, 0, 0, 40, -8, 12, 0, 0, 28, 38, 24, 0, 0, 20, -2, 4, 0, 0, -76, 48, 8, 0, 0, -12, 18, 48, 0, 0, 0, 12, -16, 0, 0, -72, 14, -40, 0, 0, 20, 0, 164, 0, 0, 44, 24, -40, 0, 0, 60, 44, 0, 0, 0, -72, 78, -40, 0, 0, 0, 14, 56, 0, 0, -8, -64, -32, 0, 0, -120, -14, -40, 0, 0, -48, -66, -12, 0, 0, 64, -10, 92, 0, 0, 0, -60, 68, 0, 0, 96, 62, -12, 0, 0, -76, 0, 28, 0, 0, 16, 8, -128, 0, 0, -36, -40, 0, 0, 0, 8, -6, 24, 0, 0, 8, 16, 0, 0, 0, -64, -16, 40, 0, 0, 8, -60, -36, 0, 0, 76, 12, -192, 0, 0, -36, 66, 36, 0, 0, 0, 8, 128, 0, 0, 0, 46, -120, 0, 0, 88, 0, -28, 0, 0, -28, -62, 44, 0, 0, 24, -6, 0, 0, 0, 8, 12, 56, 0, 0, -56, 64, 36, 0, 0, -60, -10, 4, 0, 0, -4, 2, -72, 0, 0, -24, -22, 20, 0, 0, 8, -96, -116, 0, 0, 0, 30, -8, 0, 0, 140, 18, 20, 0, 0, 16, 0, 40, 0, 0, 0, 52, -4, 0, 0, 28, -58, 0, 0, 0, -44, -22, -16, 0, 0, 28, 14, 32, 0, 0, 48, 78, -52, 0, 0, 88, 112, -12, 0, 0, 96, -2, 60, 0, 0, 0, 24, -36, 0, 0, 0, 42, -120, 0, 0, -52, 4, 28, 0, 0, -100, 0, 24, 0, 0, 20, 96, 92, 0, 0, 32, -42, 0, 0, 0, -56, 32, 0, 0, 0, 108, -6, 0, 0, 0, -76, -12, 48, 0, 0, -12, -4, -56, 0, 0, -72, -50, 4, 0, 0, 4, 42, 72, 0, 0, 0, -32, -16, 0, 0, 56, 48, -60, 0, 0, -48, 0, -32, 0, 0, -12, -16, -96, 0, 0, 0, 36, 0, 0, 0, 92, 0, 24, 0, 0, 76, 86, 4, 0, 0, 116, 50, -136, 0, 0, 16, 62, -8, 0, 0, 24, 8, -120, 0, 0, 16, 8, -48, 0, 0, 0, -34, 84, 0, 0, 8, 0, -24, 0, 0, 36, 0, -172, 0, 0, 24, -66, -48, 0, 0, 44, -46, 0, 0, 0, -20, 20, -16, 0, 0, -168, 6, 180, 0, 0, 4, 30, -80, 0, 0, -12, -8, -60, 0, 0, 48, -12, 4, 0, 0, -40, 26, -80, 0, 0, 0, 78, 12, 0, 0, -204, -16, -152, 0, 0, 32, 0, -96, 0, 0, 56, -26, 20, 0, 0, 56, -116, 0, 0, 0, 60, -36, -88, 0, 0, 64, -24, -4, 0, 0, 80, 24, -52, 0, 0, 24, 106, 12, 0, 0, 40, 36, -72, 0, 0, 16, -4, -16, 0, 0, 0, 2, 60, 0, 0, 32, -132, 24, 0, 0, 44, 0, -12, 0, 0, 24, -48, -32, 0, 0, 0, -18, 0, 0, 0, -116, -16, 12, 0, 0, -68, 42, 0, 0, 0, -48, 30, -32, 0, 0, 40, -66, -56, 0, 0, 0, 4, 72, 0, 0, 40, 2, 16, 0, 0, 0, -64, -16, 0, 0, -84, -52, 236, 0, 0, 24, 0, 52, 0, 0, 44, -22, 80, 0, 0, 0, 72, 0, 0, 0, 72, 62, 64, 0, 0, -12, -20, 60, 0, 0, 72, 10, 84, 0, 0, 8, -52, 24, 0, 0, -48, 30, 68, 0, 0, 4, 30, 8, 0, 0, 0, 56, -64, 0, 0, 4, -14, 12, 0, 0, -48, 0, -56, 0, 0, 48, 104, 32, 0, 0, -16, 44, 0, 0, 0, 4, -108, 12, 0, 0, 20, -20, 4, 0, 0, 48, -18, 32, 0, 0, 84, -18, 56, 0, 0, -4, -90, -16, 0, 0, 240, -32, -60, 0, 0, 0, -22, 36, 0, 0, -28, 22, -48, 0, 0, 16, 0, 80, 0, 0, -68, 120, -56, 0, 0, -12, -88, 0, 0, 0, -100, 6, -16, 0, 0, -48, 24, -20, 0, 0, -152, 18, -84, 0, 0, 64, 12, 0, 0, 0, 44, -16, 32, 0, 0, -16, -12, -60, 0, 0, 0, 8, -132, 0, 0, -56, -12, -24, 0, 0, -120, 0, 184, 0, 0, -8, -30, -120, 0, 0, -32, 14, 0, 0, 0, 8, 92, 4, 0, 0, 64, -18, -288, 0, 0, 72, 8, 28, 0, 0, -52, 66, -20, 0, 0, 12, 108, 0, 0, 0, 12, -28, 120, 0, 0, 0, -102, 32, 0, 0, 96, -30, -44, 0, 0, -56, 0, -56, 0, 0, 136, 16, -96, 0, 0, -12, 52, 0, 0, 0, -144, -76, -64, 0, 0, -92, -22, -92, 0, 0, -40, -48, 144, 0, 0, 4, -96, -24, 0, 0, -80, -30, 196, 0, 0, -128, -54, -20, 0, 0, 0, -26, -44, 0, 0, -48, 52, 60, 0, 0, 160, 0, -144, 0, 0, -20, -22, 4, 0, 0, -12, 16, 0, 0, 0, 24, -114, 108, 0, 0, -24, -34, -16, 0, 0, -72, -22, 32, 0, 0, -384, -26, 48, 0, 0, -8, -68, -60, 0, 0, 108, -48, 68, 0, 0, 0, 50, 40, 0, 0, -64, -66, 24, 0, 0, 36, 0, 112, 0, 0, 80, 16, 220, 0, 0, -164, 6, 0, 0, 0, 112, 4, 144, 0, 0, -48, -184, 44, 0, 0, 140, -48, 12, 0, 0, -48, -102, 4, 0, 0, 92, -44, 56, 0, 0, -12, 2, 72, 0, 0, 0, -28, 8, 0, 0, 72, -114, 48, 0, 0, -20, 0, 188, 0, 0, 24, 24, 36, 0, 0, -176, 108, 0, 0, 0, -20, -42, 8, 0, 0, 32, -6, -224, 0, 0, 24, -18, -40, 0, 0, 144, -24, 60, 0, 0, 76, -32, -84, 0, 0, -80, 12, 136, 0, 0, 0, -132, -68, 0, 0, -48, 24, -108, 0, 0, 132, 0, 24, 0, 0, -252, 8, -144, 0, 0, 40, 62, 0, 0, 0, -16, -10, -108, 0, 0, -24, -82, 56, 0, 0, -36, 6, 240, 0, 0, 16, -36, 140, 0, 0, -44, 44, 12, 0, 0, 120, -4, 96, 0, 0, 0, 24, -32, 0, 0, 12, 152, 40, 0, 0, 8, 0, -48, 0, 0, 48, 18, -36, 0, 0, 44, 22, 0, 0, 0, -36, 56, -112, 0, 0, 48, -2, 180, 0, 0, 36, 66, 36, 0, 0, 224, 60, 280, 0, 0, -40, 14, 92, 0, 0, -120, 158, -104, 0, 0, 0, 192, -20, 0, 0, -12, 20, 180, 0, 0, -36, 0, -76, 0, 0, 8, -104, 192, 0, 0, 44, 14, 0, 0, 0, -96, 44, -72, 0, 0, -20, 48, -104, 0, 0, -72, -56, -64, 0, 0, -60, 100, -40, 0, 0, -68, -22, 96, 0, 0, -64, -108, -132, 0, 0, 0, -30, -32, 0, 0, 192, -26, -4, 0, 0, 68, 0, 24, 0, 0, -32, -80, 40, 0, 0, 176, -38, 0, 0, 0, 168, -28, 120, 0, 0, -108, 22, -48, 0, 0, -12, -4, -32, 0, 0, 32, -40, 8, 0, 0, 88, 198, 68, 0, 0, -84, -42, 72, 0, 0, 0, -68, -88, 0, 0, -144, -30, -120, 0, 0, 72, 0, -168, 0, 0, 124, 6, 108, 0, 0, 60, 60, 0, 0, 0, -60, 24, 160, 0, 0, 36, 6, -40, 0, 0, 128, 8, 40, 0, 0, -12, 44, 80, 0, 0, -120, 54, -60, 0, 0, 48, -106, -28, 0, 0, 0, -38, 64, 0, 0, -24, -60, 40, 0, 0, 36, 0, -160, 0, 0, -20, -12, -20, 0, 0, -264, 2, 0, 0, 0, -4, -22, -72, 0, 0, 152, -68, 32, 0, 0, 112, -90, 76, 0, 0, -72, -48, 80, 0, 0, -8, 88, 0, 0, 0, -224, 48, -84, 0, 0, 0, 174, 12, 0, 0, 92, -18, 216, 0, 0, -48, 0, 44, 0, 0, -168, -22, 96, 0, 0, 128, 168, 0, 0, 0, 56, -12, -168, 0, 0, 16, 12, -36, 0, 0, -288, -52, -68, 0, 0, -56, 60, 72, 0, 0, 68, -14, 32, 0, 0, 40, -14, 24, 0, 0, 0, 24, 0, 0, 0, -52, -64, -20, 0, 0, -4, 0, -80, 0, 0, -164, -76, 96, 0, 0, -64, -144, 0, 0, 0, 92, -96, -44, 0, 0, 204, -24, -24, 0, 0, 40, -48, -16, 0, 0, -24, 112, -176, 0, 0, -8, 114, -60, 0, 0, -156, -44, 40, 0, 0, 0, 72, -48, 0, 0, 144, -60, -188, 0, 0, -8, 0, 72, 0, 0, -60, -78, 40, 0, 0, 40, -24, 0, 0, 0, -96, 52, 184, 0, 0, 0, 70, 0, 0, 0, 108, -14, -240, 0, 0, -56, -52, -96, 0, 0, -20, -102, -132, 0, 0, 32, 54, 8, 0, 0, 0, 64, 56, 0, 0, 32, 76, 64, 0, 0, -168, 0, -148, 0, 0, -72, -90, 120, 0, 0, -36, 14, 0, 0, 0, 40, -44, 52, 0, 0, -156, -24, 104, 0, 0, 52, 124, 48, 0, 0, 160, 66, -8, 0, 0, 12, 64, -112, 0, 0, 8, 20, -356, 0, 0, 0, 132, -64, 0, 0, 40, 10, -36, 0, 0, -92, 0, -108, 0, 0, -64, 14, 144, 0, 0, 68, -132, 0, 0, 0, -36, 60, 48, 0, 0, -68, -126, 144, 0, 0, -72, -110, -300, 0, 0, -88, 6, -96, 0, 0, 72, -62, -12, 0, 0, 12, 8, 176, 0, 0, 0, -92, -96, 0, 0, 72, -30, 76, 0, 0, -32, 0, 192, 0, 0, -28, 190, 0, 0, 0, 48, -8, 0, 0, 0, 140, 300, -16, 0, 0, 44, -8], '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, 0.7071067811865476], [0.0, -0.4226497308103742], [-0.5, 0.0], [0.05991526087921625, -0.9982034669914623], [0.2988584907226845, 0.0], [0.0, 0.47923974831970456], [0.0, -0.3535533905932738], [0.8213672050459182, 0.0], [0.7058364405135851, 0.042366487264254876], [0.0, 0.0], [0.0, 0.2113248654051871], [0.0, 0.6834188247179083], [-0.3388736758509974, 0.0], [-0.42189042661792386, -0.025323168882034095], [0.25, 0.0], [0.0, 0.42008402520840293], [0.0, 0.5807943205322101], [0.9626633874879776, 0.0], [-0.029957630439608127, 0.49910173349573117], [0.20255055062095462, 0.0], [0.0, 0.0], [0.0, -0.5696719733143824], [-0.14942924536134225, 0.0], [-0.992820323027551, -0.11961524227066318], [-0.48325008534857344, 0.0], [0.0, -0.769800358919501], [0.0, -0.23961987415985228], [-0.6930244368054421, 0.0], [0.01790618443761847, -0.29832158157921945], [1.5683226226065519, 0.0], [0.0, 0.1767766952966369], [0.0, 0.0], [-0.2970442628930023, 0.0], [0.4783787782928449, 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-0.20439096738518733, 0.06718360738610031, 0.14442766795481832, -0.1501745706210592, 0.062254786749760316, 0.12394941024883463, -0.3509374891796554, -0.2053052991863625, -0.23120496295179402, -0.2699238737253606, 0.04402376531851939, -0.09674986960980643, 0.10048085859556793, -0.20104085810795613, -0.46697422191523885, -0.424017544235541, 0.1820406925964241, 0.08053847989986003, -0.33030055848963313, -0.3033738129149071, -0.23783217287108596, 0.03687025590941921, -0.3701951546777967, -0.1963426197968588, -0.4642095353865462, -0.19387096506182952, -0.37604719494502753, -0.45506235369203824, -0.28950153917620214, 0.15430710212784032, 0.011848742884365032, -0.3908358827741776, -0.16113734869818386], 'char_orbit_index': 2, 'conrey_index': 969, 'dual_conrey_index': 969, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.5, 'embedding_root_real': 0.8660254037844386, 'hecke_orbit': 9, 'hecke_orbit_code': 36028865771996346, 'label': '1210.2.b.i.969.3', 'level': 1210, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 4840, 'analytic_conductor': 9.661898644574926, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [1210, 2, [727, 1091], [1, 2]], 'conrey_index': 969, 'cusp_dim': 174, 'dim': 54, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 13, 19], 'hecke_orbit_code': 68753032378, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 8, 8, 8], 'label': '1210.2.b', 'level': 1210, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 11], 'level_radical': 110, 'mf_dim': 222, 'mf_new_dim': 54, 'num_forms': 13, 'prim_orbit_index': 2, 'relative_dim': 54, 'sturm_bound': 396, 'trace_bound': 6, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, -54, 0, 4, 0, 0, -54, -4, 0, 0, 0, 4, 4, 54, 0, 0, -16, 0, 0, 0, 0, -4, -12, -4, 0, 0, -4, 4, 24, 0, 0, 8, 8, 54, 0, 0, -16, 4, 36, 0, 0, 0, 32, 12, 0, 0, -82, -24, -48, 0, 0, -16, 0, -4, 0, 0, -4, -4, 36, 0, 0, -54, -16, 0, 0, 0, 48, -24, 0, 0, 0, 0, -24, 16, 0, 0, 16, 0, 54, 0, 0, 0, -8, -8, 0, 0, 12, 20, -8, 0, 0, 20, 0, 4, 0, 0, 0, 12, -20, 0, 0, 4, -24, -16, 0, 0, 4, 0, -80, 0, 0, 80, -28, 4, 0, 0, 16, -4, 0, 0, 0, -24, 90, 12, 0, 0, -48, 66, 40, 0, 0, -44, 28, -8, 0, 0, 80, -8, 24, 0, 0, -54, -28, -124, 0, 0, -60, 36, -8, 0, 0, 0, 64, 16, 0, 0, 16, -4, -40, 0, 0, -36, 0, -32, 0, 0, -114, 42, 56, 0, 0, -48, -16, 0, 0, 0, 4, -32, 24, 0, 0, -12, 22, 16, 0, 0, 48, 20, 0, 0, 0, -32, 8, 82, 0, 0, -8, 24, -48, 0, 0, 48, 4, 36, 0, 0, 0, 0, 8, 0, 0, 8, 32, 16, 0, 0, 24, 0, -116, 0, 0, 4, 36, -24, 0, 0, -16, 52, 0, 0, 0, -60, 20, 4, 0, 0, 72, 4, 20, 0, 0, -36, -48, -64, 0, 0, 56, 4, -68, 0, 0, 36, -96, 54, 0, 0, -40, 16, 4, 0, 0, 0, 38, 16, 0, 0, 16, -64, -32, 0, 0, -24, 0, -48, 0, 0, -88, 24, 52, 0, 0, 0, -64, 0, 0, 0, -14, 18, 88, 0, 0, 4, 48, 0, 0, 0, 40, 24, 72, 0, 0, -16, -52, 48, 0, 0, -16, 56, -8, 0, 0, 56, 0, -16, 0, 0, 0, 0, -72, 0, 0, -54, 16, 52, 0, 0, 48, 0, -44, 0, 0, 124, -240, 0, 0, 0, 488, 8, 0, 0, 0, 8, -152, -96, 0, 0, -36, -20, -56, 0, 0, -120, -8, -12, 0, 0, 16, -20, 10, 0, 0, 8, 40, 80, 0, 0, -68, 40, -56, 0, 0, 0, -284, -20, 0, 0, -52, 0, 128, 0, 0, -4, 0, 40, 0, 0, 312, -16, -80, 0, 0, -60, 8, 0, 0, 0, -8, -12, -140, 0, 0, 20, -228, -24, 0, 0, 76, 98, 88, 0, 0, -116, 56, -4, 0, 0, -44, 24, 80, 0, 0, 16, -32, -48, 0, 0, 0, -60, 8, 0, 0, 32, 88, -4, 0, 0, 72, 0, 202, 0, 0, 80, 118, -60, 0, 0, 100, 40, 0, 0, 0, -24, 64, -80, 0, 0, 72, 28, -36, 0, 0, -4, -256, -56, 0, 0, -64, -28, 56, 0, 0, 24, -96, -16, 0, 0, -16, 4, 88, 0, 0, 0, -102, 52, 0, 0, 504, -44, -64, 0, 0, -56, 0, 24, 0, 0, -100, -90, 32, 0, 0, -12, -20, 0, 0, 0, 36, -124, 96, 0, 0, 8, -332, 48, 0, 0, 136, -66, -136, 0, 0, -40, 0, -20, 0, 0, -58, 40, -124, 0, 0, 144, -72, 44, 0, 0, 0, -28, -68, 0, 0, 8, 84, 24, 0, 0, 92, 0, 176, 0, 0, 84, -40, -80, 0, 0, -80, 8, 0, 0, 0, -24, 22, -8, 0, 0, 92, 84, -64, 0, 0, -32, 176, 54, 0, 0, -32, 28, -520, 0, 0, 124, -8, 68, 0, 0, -64, -24, -160, 0, 0, 0, 232, 60, 0, 0, -48, -36, 116, 0, 0, 8, 0, 296, 0, 0, -288, 8, -56, 0, 0, -152, 16, 0, 0, 0, 28, -64, 8, 0, 0, -16, 68, 16, 0, 0, 64, 32, -392, 0, 0, -24, 0, -16, 0, 0, 432, 4, 372, 0, 0, 40, -144, -88, 0, 0, 0, 30, 72, 0, 0, -272, 120, 36, 0, 0, -168, 0, 64, 0, 0, 32, 296, -32, 0, 0, -264, 20, 0, 0, 0, -64, -128, 114, 0, 0, -88, -42, -192, 0, 0, -56, 268, 232, 0, 0, 72, 40, 68, 0, 0, -16, -16, 48, 0, 0, -16, 16, 4, 0, 0, 0, -56, 8, 0, 0, 92, 8, 24, 0, 0, -48, 0, -4, 0, 0, -96, 32, -40, 0, 0, -24, 108, 0, 0, 0, 18, 188, -312, 0, 0, 84, 324, 12, 0, 0, -16, -22, 16, 0, 0, -16, -52, -176, 0, 0, -296, 52, -496, 0, 0, 80, 16, -48, 0, 0, 0, -20, -52, 0, 0, 0, -24, -20, 0, 0, 76, 0, -56, 0, 0, -96, 136, 32, 0, 0, 200, -8, 0, 0, 0, -82, 220, -80, 0, 0, -96, 288, 48, 0, 0, -168, -208, 8, 0, 0, 72, -24, 164, 0, 0, 48, 16, -104, 0, 0, -108, 28, -32, 0, 0, 0, 264, -48, 0, 0, -104, -4, -92, 0, 0, -36, 0, -472, 0, 0, 48, -44, -128, 0, 0, -40, -56, 0, 0, 0, 560, 0, -42, 0, 0, -8, -130, 28, 0, 0, 136, 26, 88, 0, 0, -88, 200, -8, 0, 0, 20, -32, 176, 0, 0, -16, -72, 32, 0, 0, 0, 184, 72, 0, 0, 88, 88, -24, 0, 0, 280, 0, -372, 0, 0, 116, -68, 12, 0, 0, 16, 88, 0, 0, 0, -240, 120, -4, 0, 0, 200, -36, -64, 0, 0, 24, -30, -64, 0, 0, 68, 24, -144, 0, 0, -56, -136, 16, 0, 0, 160, -52, 128, 0, 0, 0, -74, 124, 0, 0, -44, -56, -8, 0, 0, -52, 0, 60, 0, 0, -40, -20, -52, 0, 0, -4, -24, 0, 0, 0, -40, -40, -344, 0, 0, -48, 176, -72, 0, 0, -96, -4, -50, 0, 0, -20, -40, 328, 0, 0, -112, 56, 100, 0, 0, -28, 0, 36, 0, 0, 0, 48, -164, 0, 0, 64, -16, 120, 0, 0, -208, 0, 16, 0, 0, 16, 72, -56, 0, 0, -120, -4, 0, 0, 0, 68, -4, -12, 0, 0, -108, -40, 32, 0, 0, 36, 168, -36, 0, 0, -8, 96, -108, 0, 0, -54, 84, -32, 0, 0, -48, 76, -96, 0, 0, 0, -140, 40, 0, 0, -80, -16, 96, 0, 0, -4, 0, 184, 0, 0, 4, 272, 72, 0, 0, 0, -72, 0, 0, 0, -344, -38, 408, 0, 0, -16, 16, 56, 0, 0, 52, 68, 440, 0, 0, 104, 32, -16, 0, 0, -504, 64, -624, 0, 0, 32, 32, 48, 0, 0, 0, -242, 80, 0, 0, -120, -24, 24, 0, 0, 56, 0, 480, 0, 0, 48, -226, -8, 0, 0, 244, -56, 0, 0, 0, 520, 60, 88, 0, 0, -232, -24, 264, 0, 0, -52, -314, -480, 0, 0, -20, -72, 528, 0, 0, -268, -96, 0, 0, 0, -104, 64, 128, 0, 0, 0, -214, -80, 0, 0, -312, 12, -32, 0, 0, 64, 0, 14, 0, 0, 48, -18, 240, 0, 0, -88, 8, 0, 0, 0, -408, -266, 164, 0, 0, -148, 144, -4, 0, 0, -272, -48, 224, 0, 0, 0, -120, 48, 0, 0, 500, -8, 392, 0, 0, 32, 120, -40, 0, 0, 0, -24, -220, 0, 0, -72, -28, 12, 0, 0, 8, 0, 4, 0, 0, -256, -4, 16, 0, 0, -196, 52, 0, 0, 0, -48, 240, 344, 0, 0, -36, -48, -136, 0, 0, 32, -92, 16, 0, 0, 72, -56, 496, 0, 0, 8, 80, 324, 0, 0, 148, -48, -80, 0, 0, 0, 184, -56, 0, 0, -232, 0, 48, 0, 0, 16, 0, -80, 0, 0, -400, 48, 0, 0, 0, -232, 0, 0, 0, 0, 80, 0, 112, 0, 0, 72, -190, -108, 0, 0, 52, -88, 264, 0, 0, 36, 88, 54, 0, 0, -312, -16, 80, 0, 0, -52, -92, 64, 0, 0, 0, 80, 328, 0, 0, 676, -56, -48, 0, 0, 16, 0, -68, 0, 0, 44, -186, 72, 0, 0, -88, -88, 0, 0, 0, -192, 64, -124, 0, 0, 88, 240, 140, 0, 0, 0, -218, -52, 0, 0, 128, 0, -448, 0, 0, -96, 96, -488, 0, 0, -64, -8, -12, 0, 0, 0, 32, -116, 0, 0, -90, 72, -288, 0, 0, -96, 0, -8, 0, 0, -396, 152, 212, 0, 0, 96, 0, 0, 0, 0, 176, -4, 152, 0, 0, 8, 128, 36, 0, 0, 72, 20, 376, 0, 0, 56, -76, 140, 0, 0, 76, -32, -136, 0, 0, 0, 168, 120, 0, 0, 0, 8, -124, 0, 0, 12, -272, -168, 0, 0, 100, 0, -640, 0, 0, -152, -92, -16, 0, 0, -528, 20, 0, 0, 0, -10, 306, 208, 0, 0, 48, -322, 224, 0, 0, 36, 200, -8, 0, 0, 24, -40, 0, 0, 0, -80, 24, 56, 0, 0, -96, 52, 40, 0, 0, 0, 428, 68, 0, 0, -688, -40, -84, 0, 0, 56, 0, -20, 0, 0, 688, -30, 24, 0, 0, -48, -56, 0, 0, 0, -376, 284, -224, 0, 0, 20, 192, 8, 0, 0, 96, 184, 32, 0, 0, 56, -16, 52, 0, 0, 120, 0, 770, 0, 0, -128, -12, 80, 0, 0, 0, -214, 128, 0, 0, -180, 0, 4, 0, 0, -224, 0, 32, 0, 0, -40, -424, -16, 0, 0, 792, 48, 0, 0, 0, 64, -496, -312, 0, 0, 8, 16, -80, 0, 0, 80, 2, 200, 0, 0, -248, 0, 312, 0, 0, 48, -96, 60, 0, 0, -88, -8, 384, 0, 0, 0, -308, 64, 0, 0, -24, 24, -64, 0, 0, 40, 0, 8, 0, 0, 1096, 12, 132, 0, 0, 140, 0, 0, 0, 0, -188, 68, 700, 0, 0, 72, -332, -20, 0, 0, -200, 228, -104, 0, 0, 24, -80, -352, 0, 0, -160, -76, -496, 0, 0, -80, 64, -76, 0, 0, 0, -98, -184, 0, 0, -88, -96, 84, 0, 0, -296, 0, 100, 0, 0, -56, 100, 116, 0, 0, -496, -56, 0, 0, 0, 4, -558, -80, 0, 0, -36, -16, 16, 0, 0, 224, -288, 44, 0, 0, -104, -24, 74, 0, 0, -80, 24, 72, 0, 0, 80, -68, -392, 0, 0, 0, -428, -16, 0, 0, 1084, 32, 96, 0, 0, 48, 0, -84, 0, 0, -244, -384, -312, 0, 0, 636, 56, 0, 0, 0, 944, 60, -360, 0, 0, -8, -360, 156, 0, 0, -120, -336, -392, 0, 0, 44, 80, -32, 0, 0, 236, -88, 128, 0, 0, 4, 76, -120, 0, 0, 0, 240, 64, 0, 0, -100, 64, -72, 0, 0, -24, 0, 544, 0, 0, -202, -98, 100, 0, 0, 104, -192, 0, 0, 0, -76, -448, -80, 0, 0, 24, -118, 48, 0, 0, 60, 816, 332, 0, 0, -132, -40, -1080, 0, 0, 1000, 8, -100, 0, 0, 200, -40, 172, 0, 0, 0, 612, -96, 0, 0, 40, -32, -184, 0, 0, 124, 0, 24, 0, 0, 104, -64, 224, 0, 0, 80, 16, 0, 0, 0, 48, 136, 272, 0, 0, 80, 112, -72, 0, 0, 144, -28, -1400, 0, 0, 36, -260, -24, 0, 0, 882, -96, -168, 0, 0, -140, 104, 4, 0, 0, 0, 256, 124, 0, 0, 56, -8, -256, 0, 0, 48, 0, 224, 0, 0, -128, 408, 64, 0, 0, -72, 28, 0, 0, 0, -56, -558, 236, 0, 0, 20, -456, 72, 0, 0, 92, 732, -24, 0, 0, 80, 96, 336, 0, 0, 16, 176, -8, 0, 0, -32, -80, -40, 0, 0, 0, 68, 16, 0, 0, 872, -4, -48, 0, 0, -88, 0, -120, 0, 0, -416, -282, -104, 0, 0, 108, -96, 0, 0, 0, -100, 102, -1584, 0, 0, -52, -38, -96, 0, 0, -172, -576, -592, 0, 0, 0, -88, -504, 0, 0, 264, 44, -68, 0, 0, 64, 64, -76, 0, 0, 0, 58, 144, 0, 0, -224, -96, 56, 0, 0, -112, 0, -288, 0, 0, -24, 270, 48, 0, 0, 28, -120, 0, 0, 0, 24, 648, 100, 0, 0, 264, 90], '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: 46592313
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 969, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865771996346, 'source_is_minimal': True, 'source_label': '1210.2.b.i.969.3', 'source_level': 1210, 'target_conrey_index': 969, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36028865771996346, 'target_is_minimal': True, 'target_label': '1210.2.b.i.969.3', 'target_level': 1210, 'twist_class_label': '1210.2.b.i.969.2', 'twist_class_level': 1210, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46592314
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 969, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865771996346, 'source_is_minimal': True, 'source_label': '1210.2.b.i.969.3', 'source_level': 1210, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 247697979538937762, 'target_is_minimal': False, 'target_label': '6050.2.a.cd.1.1', 'target_level': 6050, 'twist_class_label': '1210.2.b.i.969.2', 'twist_class_level': 1210, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46592315
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 969, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865771996346, 'source_is_minimal': True, 'source_label': '1210.2.b.i.969.3', 'source_level': 1210, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 292733975812642722, 'target_is_minimal': False, 'target_label': '6050.2.a.cn.1.2', 'target_level': 6050, 'twist_class_label': '1210.2.b.i.969.2', 'twist_class_level': 1210, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46592316
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 969, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865771996346, 'source_is_minimal': True, 'source_label': '1210.2.b.i.969.3', 'source_level': 1210, 'target_conrey_index': 969, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028865771996346, 'target_is_minimal': True, 'target_label': '1210.2.b.i.969.2', 'target_level': 1210, 'twist_class_label': '1210.2.b.i.969.2', 'twist_class_level': 1210, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46592317
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 969, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865771996346, 'source_is_minimal': True, 'source_label': '1210.2.b.i.969.3', 'source_level': 1210, 'target_conrey_index': 969, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532465399366842, 'target_is_minimal': True, 'target_label': '1210.2.b.j.969.1', 'target_level': 1210, 'twist_class_label': '1210.2.b.i.969.2', 'twist_class_level': 1210, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 46592318
    {'conductor': 55, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 969, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865771996346, 'source_is_minimal': True, 'source_label': '1210.2.b.i.969.3', 'source_level': 1210, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 324259173204236194, 'target_is_minimal': False, 'target_label': '6050.2.a.cu.1.1', 'target_level': 6050, 'twist_class_label': '1210.2.b.i.969.2', 'twist_class_level': 1210, 'twisting_char_label': '55.32', 'twisting_conrey_index': 32, 'weight': 2}
  • id: 46592319
    {'conductor': 55, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 969, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865771996346, 'source_is_minimal': True, 'source_label': '1210.2.b.i.969.3', 'source_level': 1210, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 202661983265232802, 'target_is_minimal': False, 'target_label': '6050.2.a.bt.1.2', 'target_level': 6050, 'twist_class_label': '1210.2.b.i.969.2', 'twist_class_level': 1210, 'twisting_char_label': '55.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 46592320
    {'conductor': 55, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 969, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 36028865771996346, 'source_is_minimal': True, 'source_label': '1210.2.b.i.969.3', 'source_level': 1210, 'target_conrey_index': 969, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 40532465399366842, 'target_is_minimal': True, 'target_label': '1210.2.b.j.969.4', 'target_level': 1210, 'twist_class_label': '1210.2.b.i.969.2', 'twist_class_level': 1210, 'twisting_char_label': '55.54', 'twisting_conrey_index': 54, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1770275
    {'charpoly_factorization': [[[1, 0, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 2}
  • id: 1770276
    {'charpoly_factorization': [[[4, 0, 8, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 3}
  • id: 1770277
    {'charpoly_factorization': [[[25, -20, 11, -4, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 5}
  • id: 1770278
    {'charpoly_factorization': [[[36, 0, 24, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 7}
  • id: 1770279
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028865771996346, 'p': 11}
  • id: 1770280
    {'charpoly_factorization': [[[121, 0, 26, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 13}
  • id: 1770281
    {'charpoly_factorization': [[[3, 0, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 17}
  • id: 1770282
    {'charpoly_factorization': [[[-26, 2, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 19}
  • id: 1770283
    {'charpoly_factorization': [[[4, 0, 8, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 23}
  • id: 1770284
    {'charpoly_factorization': [[[1, 4, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 29}
  • id: 1770285
    {'charpoly_factorization': [[[46, -14, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 31}
  • id: 1770286
    {'charpoly_factorization': [[[2209, 0, 98, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 37}
  • id: 1770287
    {'charpoly_factorization': [[[37, -14, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 41}
  • id: 1770288
    {'charpoly_factorization': [[[576, 0, 96, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 43}
  • id: 1770289
    {'charpoly_factorization': [[[484, 0, 56, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 47}
  • id: 1770290
    {'charpoly_factorization': [[[9, 0, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 53}
  • id: 1770291
    {'charpoly_factorization': [[[-192, 0, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 59}
  • id: 1770292
    {'charpoly_factorization': [[[-44, -4, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 61}
  • id: 1770293
    {'charpoly_factorization': [[[6084, 0, 168, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 67}
  • id: 1770294
    {'charpoly_factorization': [[[-48, 0, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 71}
  • id: 1770295
    {'charpoly_factorization': [[[144, 0, 168, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 73}
  • id: 1770296
    {'charpoly_factorization': [[[78, -18, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 79}
  • id: 1770297
    {'charpoly_factorization': [[[484, 0, 56, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, 'p': 83}
  • id: 1770298
    {'charpoly_factorization': [[[-3, -6, 1], 2]], 'hecke_orbit_code': 36028865771996346, 'p': 89}
  • id: 1770299
    {'charpoly_factorization': [[[13689, 0, 342, 0, 1], 1]], 'hecke_orbit_code': 36028865771996346, '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': 2, 'hecke_orbit': 9, 'label': '1210.2.b.i', 'level': 1210, '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: 201149000
    {'hecke_orbit_code': 36028865771996346, 'n': 1, 'trace_an': 4}
  • id: 201149001
    {'hecke_orbit_code': 36028865771996346, 'n': 2, 'trace_an': 0}
  • id: 201149002
    {'hecke_orbit_code': 36028865771996346, 'n': 3, 'trace_an': 0}
  • id: 201149003
    {'hecke_orbit_code': 36028865771996346, 'n': 4, 'trace_an': -4}
  • id: 201149004
    {'hecke_orbit_code': 36028865771996346, 'n': 5, 'trace_an': 4}
  • id: 201149005
    {'hecke_orbit_code': 36028865771996346, 'n': 6, 'trace_an': -4}
  • id: 201149006
    {'hecke_orbit_code': 36028865771996346, 'n': 7, 'trace_an': 0}
  • id: 201149007
    {'hecke_orbit_code': 36028865771996346, 'n': 8, 'trace_an': 0}
  • id: 201149008
    {'hecke_orbit_code': 36028865771996346, 'n': 9, 'trace_an': -4}
  • id: 201149009
    {'hecke_orbit_code': 36028865771996346, 'n': 10, 'trace_an': 2}
  • id: 201149010
    {'hecke_orbit_code': 36028865771996346, 'n': 11, 'trace_an': 0}
  • id: 201149011
    {'hecke_orbit_code': 36028865771996346, 'n': 12, 'trace_an': 0}
  • id: 201149012
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  • id: 201149013
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  • id: 201149014
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  • id: 201149015
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  • id: 201149016
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  • id: 201149017
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  • id: 201149018
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  • id: 201149019
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  • id: 201149020
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  • id: 201149021
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  • id: 201149022
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  • id: 201149023
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  • id: 201149024
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  • id: 201149025
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  • id: 201149026
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  • id: 201149027
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  • id: 201149028
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  • id: 201149029
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  • id: 201149030
    {'hecke_orbit_code': 36028865771996346, 'n': 31, 'trace_an': 28}
  • id: 201149031
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  • id: 201149032
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  • id: 201149033
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  • id: 201149034
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  • id: 201149035
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  • id: 201149036
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  • id: 201149037
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  • id: 201149038
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  • id: 201149039
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  • id: 201149040
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  • id: 201149041
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  • id: 201149042
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  • id: 201149043
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  • id: 201149044
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  • id: 201149045
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  • id: 201149046
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  • id: 201149047
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  • id: 201149048
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  • id: 201149049
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  • id: 201149050
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  • id: 201149051
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  • id: 201149052
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  • id: 201149053
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  • id: 201149054
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  • id: 201149055
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  • id: 201149056
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  • id: 201149057
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  • id: 201149058
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  • id: 201149059
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  • id: 201149060
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  • id: 201149061
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  • id: 201149062
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  • id: 201149063
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  • id: 201149064
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  • id: 201149065
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  • id: 201149066
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  • id: 201149067
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  • id: 201149068
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  • id: 201149069
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  • id: 201149070
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  • id: 201149071
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  • id: 201149072
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  • id: 201149073
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  • id: 201149074
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  • id: 201149075
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  • id: 201149076
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  • id: 201149077
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  • id: 201149078
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  • id: 201149079
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  • id: 201149080
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  • id: 201149081
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  • id: 201149082
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  • id: 201149083
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  • id: 201149084
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  • id: 201149085
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  • id: 201149086
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  • id: 201149087
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  • id: 201149088
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  • id: 201149089
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  • id: 201149090
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  • id: 201149091
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  • id: 201149092
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  • id: 201149093
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  • id: 201149094
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  • id: 201149095
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  • id: 201149096
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  • id: 201149097
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  • id: 201149098
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  • id: 201149099
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  • id: 201149100
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  • id: 201149101
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  • id: 201149102
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  • id: 201149103
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  • id: 201149104
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  • id: 201149105
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  • id: 201149106
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  • id: 201149107
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  • id: 201149108
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  • id: 201149109
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  • id: 201149110
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  • id: 201149111
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  • id: 201149112
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  • id: 201149113
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  • id: 201149114
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  • id: 201149115
    {'hecke_orbit_code': 36028865771996346, 'n': 116, 'trace_an': 8}
  • id: 201149116
    {'hecke_orbit_code': 36028865771996346, 'n': 117, 'trace_an': 0}
  • id: 201149117
    {'hecke_orbit_code': 36028865771996346, 'n': 118, 'trace_an': 0}
  • id: 201149118
    {'hecke_orbit_code': 36028865771996346, 'n': 119, 'trace_an': 12}
  • id: 201149119
    {'hecke_orbit_code': 36028865771996346, 'n': 120, 'trace_an': 10}
  • id: 201149120
    {'hecke_orbit_code': 36028865771996346, 'n': 121, 'trace_an': 0}
  • id: 201149121
    {'hecke_orbit_code': 36028865771996346, 'n': 122, 'trace_an': 0}
  • id: 201149122
    {'hecke_orbit_code': 36028865771996346, 'n': 123, 'trace_an': 0}
  • id: 201149123
    {'hecke_orbit_code': 36028865771996346, 'n': 124, 'trace_an': -28}
  • id: 201149124
    {'hecke_orbit_code': 36028865771996346, 'n': 125, 'trace_an': -8}
  • id: 201149125
    {'hecke_orbit_code': 36028865771996346, 'n': 126, 'trace_an': 36}
  • id: 201149126
    {'hecke_orbit_code': 36028865771996346, 'n': 127, 'trace_an': 0}
  • id: 201149127
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  • id: 201149128
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  • id: 201149129
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  • id: 201149130
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  • id: 201149131
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  • id: 201149132
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  • id: 201149133
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  • id: 201149134
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  • id: 201149135
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  • id: 201149136
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  • id: 201149137
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  • id: 201149138
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  • id: 201149139
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  • id: 201149140
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  • id: 201149141
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  • id: 201149142
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  • id: 201149143
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  • id: 201149144
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  • id: 201149145
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  • id: 201149146
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  • id: 201149147
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  • id: 201149148
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  • id: 201149149
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  • id: 201149150
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  • id: 201149151
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  • id: 201149152
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  • id: 201149153
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  • id: 201149154
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  • id: 201149155
    {'hecke_orbit_code': 36028865771996346, 'n': 156, 'trace_an': -28}
  • id: 201149156
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  • id: 201149157
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  • id: 201149158
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  • id: 201149159
    {'hecke_orbit_code': 36028865771996346, 'n': 160, 'trace_an': 2}
  • id: 201149160
    {'hecke_orbit_code': 36028865771996346, 'n': 161, 'trace_an': 0}
  • id: 201149161
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  • id: 201149162
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  • id: 201149163
    {'hecke_orbit_code': 36028865771996346, 'n': 164, 'trace_an': -28}
  • id: 201149164
    {'hecke_orbit_code': 36028865771996346, 'n': 165, 'trace_an': 0}
  • id: 201149165
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  • id: 201149166
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  • id: 201149167
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  • id: 201149168
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  • id: 201149169
    {'hecke_orbit_code': 36028865771996346, 'n': 170, 'trace_an': 6}
  • id: 201149170
    {'hecke_orbit_code': 36028865771996346, 'n': 171, 'trace_an': 76}
  • id: 201149171
    {'hecke_orbit_code': 36028865771996346, 'n': 172, 'trace_an': 0}
  • id: 201149172
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  • id: 201149173
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  • id: 201149174
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  • id: 201149175
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  • id: 201149176
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  • id: 201149177
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  • id: 201149178
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  • id: 201149179
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  • id: 201149180
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  • id: 201149181
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  • id: 201149182
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  • id: 201149183
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  • id: 201149184
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  • id: 201149185
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  • id: 201149186
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  • id: 201149187
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  • id: 201149188
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  • id: 201149189
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  • id: 201149190
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  • id: 201149191
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  • id: 201149192
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  • id: 201149193
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  • id: 201149194
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  • id: 201149195
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  • id: 201149196
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  • id: 201149197
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  • id: 201149198
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  • id: 201149199
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  • id: 201149200
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  • id: 201149201
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  • id: 201149202
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  • id: 201149203
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  • id: 201149204
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  • id: 201149205
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  • id: 201149206
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  • id: 201149207
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  • id: 201149208
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  • id: 201149209
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  • id: 201149210
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  • id: 201149211
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  • id: 201149212
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  • id: 201149213
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  • id: 201149214
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  • id: 201149215
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  • id: 201149216
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  • id: 201149217
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