Embedded newform data - 1904.2.a.b.1.1

Formats: - HTML - YAML - JSON - 2025-11-13T23:53:12.845267

• 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': 7616, 'analytic_conductor': 15.203516544851785, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, 1], [17, 1]], 'atkin_lehner_string': '-++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1904, 1, [239, 1429, 1361, 785], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [2, 1]], [5, [-4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660926832, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1904.2.a.b', 'level': 1904, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 17], 'level_radical': 238, 'minimal_twist': '238.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2q^{3}+4q^{5}-q^{7}+q^{9}+4q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/1904/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1904.2.a', 'trace_display': [0, -2, 4, -1], 'trace_hash': 2291365272448474103, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.008', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.998', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.037', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.195', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.026', 'prec': 17}, 'traces': [1, 0, -2, 0, 4, 0, -1, 0, 1, 0, 4, 0, -4, 0, -8, 0, -1, 0, 6, 0, 2, 0, 0, 0, 11, 0, 4, 0, 6, 0, -4, 0, -8, 0, -4, 0, -10, 0, 8, 0, 6, 0, 0, 0, 4, 0, -4, 0, 1, 0, 2, 0, 14, 0, 16, 0, -12, 0, 6, 0, -12, 0, -1, 0, -16, 0, -4, 0, 0, 0, 8, 0, 2, 0, -22, 0, -4, 0, 0, 0, -11, 0, -10, 0, -4, 0, -12, 0, 10, 0, 4, 0, 8, 0, 24, 0, 6, 0, 4, 0, 16, 0, 4, 0, 8, 0, 0, 0, -2, 0, 20, 0, 14, 0, 0, 0, -4, 0, 1, 0, 5, 0, -12, 0, 24, 0, 8, 0, 0, 0, 18, 0, -6, 0, 16, 0, 2, 0, -10, 0, 8, 0, -16, 0, 24, 0, -2, 0, -2, 0, 16, 0, -1, 0, -16, 0, 4, 0, -28, 0, 0, 0, -4, 0, -32, 0, 20, 0, 3, 0, 6, 0, -8, 0, -11, 0, -12, 0, 12, 0, 0, 0, 24, 0, -40, 0, -4, 0, -4, 0, 24, 0, -2, 0, 32, 0, 2, 0, -28, 0, 8, 0, -6, 0, 24, 0, 0, 0, 24, 0, 8, 0, -16, 0, 0, 0, 4, 0, -4, 0, 4, 0, -24, 0, 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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

  
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-0.20465819731442325, -0.13646997151155438, -0.3952523073766676, -0.2647785293143226, -0.2758978828654788, -0.173498936279079, -0.3223372117147411, -0.05236988545671974, -0.24265416879484314, -0.3060815864818847, -0.26095957235135503, -0.4257293835101802, -0.2980306333760764, -0.0906899681779159, -0.3745471511062878, -0.3593429869653298, -0.25, -0.11125884828330469, -0.1058771262009965, -0.2464292648986991, -0.31217542970251927, -0.24643821786361395, -0.30824680824766043], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660926832, 'label': '1904.2.a.b.1.1', 'level': 1904, '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

  
  {'ALdims': [6, 6, 6, 6, 8, 3, 4, 9], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [20, 38, 34, 23, 26, 32, 35, 21], 'Nk2': 7616, 'analytic_conductor': 15.203516544851785, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1904, 1, [239, 1429, 1361, 785], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 277, 'dim': 48, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 33556336, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5], 'label': '1904.2.a', 'level': 1904, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 17], 'level_radical': 238, 'mf_dim': 300, 'mf_new_dim': 48, 'num_forms': 20, 'plus_dim': 19, 'prim_orbit_index': 1, 'relative_dim': 48, 'sturm_bound': 576, 'trace_bound': 5, 'trace_display': [0, 0, 0, 2], 'traces': [48, 0, 0, 0, 0, 0, 2, 0, 48, 0, -8, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 16, 0, 48, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -8, 0, 40, 0, 0, 0, 36, 0, 0, 0, -24, 0, 48, 0, -12, 0, -8, 0, 8, 0, 16, 0, 24, 0, 0, 0, 10, 0, 16, 0, -4, 0, 0, 0, 32, 0, 0, 0, 64, 0, -8, 0, 40, 0, 64, 0, 40, 0, 0, 0, 56, 0, 16, 0, -12, 0, -48, 0, 48, 0, 16, 0, 48, 0, -48, 0, -40, 0, 16, 0, 0, 0, -8, 0, -32, 0, 0, 0, -56, 0, 0, 0, 10, 0, 32, 0, -28, 0, 48, 0, -4, 0, 0, 0, 64, 0, 0, 0, 4, 0, 16, 0, 32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 8, 0, -20, 0, 0, 0, -28, 0, -48, 0, 64, 0, -16, 0, -64, 0, -16, 0, 0, 0, 64, 0, -16, 0, -32, 0, 14, 0, -32, 0, 44, 0, -64, 0, 52, 0, -16, 0, 0, 0, 0, 0, 4, 0, 16, 0, 40, 0, 56, 0, -96, 0, -48, 0, 4, 0, -64, 0, -40, 0, 48, 0, 64, 0, -48, 0, -16, 0, 0, 0, 44, 0, 0, 0, 112, 0, 0, 0, -96, 0, 48, 0, 24, 0, 16, 0, 32, 0, 16, 0, 44, 0, 16, 0, 0, 0, 0, 0, -48, 0, -16, 0, -120, 0, -16, 0, 0, 0, -16, 0, 20, 0, -24, 0, 0, 0, 32, 0, 56, 0, 80, 0, -24, 0, -16, 0, -64, 0, -72, 0, -96, 0, 16, 0, -48, 0, 0, 0, -24, 0, 48, 0, -56, 0, -112, 0, 40, 0, 32, 0, 16, 0, -40, 0, -80, 0, 96, 0, 104, 0, -16, 0, -128, 0, 64, 0, 20, 0, -120, 0, 128, 0, 112, 0, -24, 0, -144, 0, 8, 0, 0, 0, 68, 0, -152, 0, -32, 0, 16, 0, -88, 0, 48, 0, 2, 0, 32, 0, -56, 0, 48, 0, 80, 0, 32, 0, -16, 0, 0, 0, -4, 0, 64, 0, -160, 0, -176, 0, 160, 0, -96, 0, -20, 0, -24, 0, -172, 0, -16, 0, -80, 0, -176, 0, -192, 0, 0, 0, 4, 0, -120, 0, 0, 0, -80, 0, 48, 0, -48, 0, 0, 0, -64, 0, 168, 0, -192, 0, -208, 0, 48, 0, -192, 0, 0, 0, 72, 0, 16, 0, -48, 0, 8, 0, -96, 0, 0, 0, 48, 0, -32, 0, 72, 0, 32, 0, 24, 0, -16, 0, -48, 0, 48, 0, -48, 0, 16, 0, 128, 0, -128, 0, 88, 0, -64, 0, 0, 0, 64, 0, -48, 0, 0, 0, -52, 0, 48, 0, 0, 0, 24, 0, -192, 0, -80, 0, 32, 0, 32, 0, 48, 0, 96, 0, -24, 0, -8, 0, 136, 0, -128, 0, -68, 0, 0, 0, 240, 0, -16, 0, -144, 0, -72, 0, -64, 0, 112, 0, 80, 0, -80, 0, 0, 0, -16, 0, -160, 0, 16, 0, -220, 0, 112, 0, -128, 0, -40, 0, 36, 0, 128, 0, 48, 0, 32, 0, -136, 0, -48, 0, -8, 0, -72, 0, -72, 0, 16, 0, 16, 0, -64, 0, -96, 0, 32, 0, 32, 0, 64, 0, -80, 0, 0, 0, -56, 0, 80, 0, -62, 0, 32, 0, 40, 0, 16, 0, 40, 0, 96, 0, -56, 0, 16, 0, -88, 0, 80, 0, -24, 0, 144, 0, 24, 0, -64, 0, -12, 0, -104, 0, -172, 0, 48, 0, -152, 0, -160, 0, 80, 0, 0, 0, 80, 0, 40, 0, 16, 0, -48, 0, 32, 0, 80, 0, 44, 0, 64, 0, 240, 0, 16, 0, 52, 0, -96, 0, -240, 0, 0, 0, 336, 0, 48, 0, 96, 0, -8, 0, -24, 0, -96, 0, -48, 0, 8, 0, -80, 0, 48, 0, -100, 0, 112, 0, 0, 0, -16, 0, 32, 0, -32, 0, -24, 0, -80, 0, 272, 0, 0, 0, -48, 0, 192, 0, -32, 0, 64, 0, 64, 0, 64, 0, 0, 0, -40, 0, -180, 0, 16, 0, -192, 0, 0, 0, 272, 0, -272, 0, -36, 0, 72, 0, -48, 0, -64, 0, -32, 0, -16, 0, 0, 0, 0, 0, 136, 0, -120, 0, 320, 0, -48, 0, 0, 0, 96, 0, -24, 0, 80, 0, 172, 0, 48, 0, 0, 0, -64, 0, 184, 0, -56, 0, 72, 0, -64, 0, 256, 0, -8, 0, -48, 0, 48, 0, 68, 0, -40, 0, 64, 0, 48, 0, -152, 0, 48, 0, -16, 0, 48, 0, 104, 0, -16, 0, -216, 0, -128, 0, 80, 0, 240, 0, -20, 0, 16, 0, -236, 0, 160, 0, 32, 0, 144, 0, -56, 0, 0, 0, -72, 0, 16, 0, 112, 0, 32, 0, 24, 0, 64, 0, 28, 0, -184, 0, -56, 0, -160, 0, -248, 0, -48, 0, 144, 0, 0, 0, -24, 0, -104, 0, -32, 0, 160, 0, -288, 0, -32, 0, -54, 0, 0, 0, 48, 0, -16, 0, 136, 0, 128, 0, 168, 0, 32, 0, -116, 0, 80, 0, 0, 0, 32, 0, 168, 0, 16, 0, -24, 0, -88, 0, -136, 0, 160, 0, 148, 0, 128, 0, 176, 0, 0, 0, -88, 0, 176, 0, 128, 0, -16, 0, 192, 0, 0, 0, -52, 0, -48, 0, -32, 0, -240, 0, 24, 0, 16, 0, 304, 0, -40, 0, -44, 0, 144, 0, -336, 0, -88, 0, 64, 0, -16, 0, 0, 0, 48, 0, 56, 0, 0, 0, 168, 0, 48, 0, 120, 0, -32, 0, 248, 0, -144, 0, -152, 0, 144, 0, -64, 0, 256, 0, 100, 0, 160, 0, -88, 0, 128, 0, -68, 0, 48, 0, -72, 0, -80, 0, 304, 0, -80, 0, 192, 0, 120, 0, -128, 0, -16, 0, 0, 0, 16, 0, 184, 0, -176, 0, 312, 0, -48, 0, -8, 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: 33871359
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926832, 'source_is_minimal': False, 'source_label': '1904.2.a.b.1.1', 'source_level': 1904, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660926832, 'target_is_minimal': False, 'target_label': '1904.2.a.b.1.1', 'target_level': 1904, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 33871360
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926832, 'source_is_minimal': False, 'source_label': '1904.2.a.b.1.1', 'source_level': 1904, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660925166, 'target_is_minimal': True, 'target_label': '238.2.a.b.1.1', 'target_level': 238, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 33871361
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926832, 'source_is_minimal': False, 'source_label': '1904.2.a.b.1.1', 'source_level': 1904, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33562048, 'target_is_minimal': False, 'target_label': '7616.2.a.a.1.1', 'target_level': 7616, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 33871362
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926832, 'source_is_minimal': False, 'source_label': '1904.2.a.b.1.1', 'source_level': 1904, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052526016, 'target_is_minimal': False, 'target_label': '7616.2.a.i.1.1', 'target_level': 7616, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 33871363
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926832, 'source_is_minimal': False, 'source_label': '1904.2.a.b.1.1', 'source_level': 1904, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595934632030, 'target_is_minimal': False, 'target_label': '2142.2.a.l.1.1', 'target_level': 2142, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 33871364
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926832, 'source_is_minimal': False, 'source_label': '1904.2.a.b.1.1', 'source_level': 1904, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307265342, 'target_is_minimal': False, 'target_label': '5950.2.a.k.1.1', 'target_level': 5950, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 33871365
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926832, 'source_is_minimal': False, 'source_label': '1904.2.a.b.1.1', 'source_level': 1904, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660926594, 'target_is_minimal': False, 'target_label': '1666.2.a.b.1.1', 'target_level': 1666, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 33871366
    {'conductor': 68, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660926832, 'source_is_minimal': False, 'source_label': '1904.2.a.b.1.1', 'source_level': 1904, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660928974, 'target_is_minimal': False, 'target_label': '4046.2.a.b.1.1', 'target_level': 4046, 'twist_class_label': '238.2.a.b.1.1', 'twist_class_level': 238, 'twisting_char_label': '68.67', 'twisting_conrey_index': 67, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2289250
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 2}
  • id: 2289251
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 3}
  • id: 2289252
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 5}
  • id: 2289253
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 7}
  • id: 2289254
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 11}
  • id: 2289255
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 13}
  • id: 2289256
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 17}
  • id: 2289257
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 19}
  • id: 2289258
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 23}
  • id: 2289259
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 29}
  • id: 2289260
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 31}
  • id: 2289261
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 37}
  • id: 2289262
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 41}
  • id: 2289263
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 43}
  • id: 2289264
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 47}
  • id: 2289265
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 53}
  • id: 2289266
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 59}
  • id: 2289267
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 61}
  • id: 2289268
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 67}
  • id: 2289269
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 71}
  • id: 2289270
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 73}
  • id: 2289271
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 79}
  • id: 2289272
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 83}
  • id: 2289273
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 4503599660926832, 'p': 89}
  • id: 2289274
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660926832, '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': 1, 'hecke_orbit': 2, 'label': '1904.2.a.b', 'level': 1904, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 16509486
    {'hecke_orbit_code': 4503599660926832, 'n': 1, 'trace_an': 1}
  • id: 16509487
    {'hecke_orbit_code': 4503599660926832, 'n': 2, 'trace_an': 0}
  • id: 16509488
    {'hecke_orbit_code': 4503599660926832, 'n': 3, 'trace_an': -2}
  • id: 16509489
    {'hecke_orbit_code': 4503599660926832, 'n': 4, 'trace_an': 0}
  • id: 16509490
    {'hecke_orbit_code': 4503599660926832, 'n': 5, 'trace_an': 4}
  • id: 16509491
    {'hecke_orbit_code': 4503599660926832, 'n': 6, 'trace_an': 0}
  • id: 16509492
    {'hecke_orbit_code': 4503599660926832, 'n': 7, 'trace_an': -1}
  • id: 16509493
    {'hecke_orbit_code': 4503599660926832, 'n': 8, 'trace_an': 0}
  • id: 16509494
    {'hecke_orbit_code': 4503599660926832, 'n': 9, 'trace_an': 1}
  • id: 16509495
    {'hecke_orbit_code': 4503599660926832, 'n': 10, 'trace_an': 0}
  • id: 16509496
    {'hecke_orbit_code': 4503599660926832, 'n': 11, 'trace_an': 4}
  • id: 16509497
    {'hecke_orbit_code': 4503599660926832, 'n': 12, 'trace_an': 0}
  • id: 16509498
    {'hecke_orbit_code': 4503599660926832, 'n': 13, 'trace_an': -4}
  • id: 16509499
    {'hecke_orbit_code': 4503599660926832, 'n': 14, 'trace_an': 0}
  • id: 16509500
    {'hecke_orbit_code': 4503599660926832, 'n': 15, 'trace_an': -8}
  • id: 16509501
    {'hecke_orbit_code': 4503599660926832, 'n': 16, 'trace_an': 0}
  • id: 16509502
    {'hecke_orbit_code': 4503599660926832, 'n': 17, 'trace_an': -1}
  • id: 16509503
    {'hecke_orbit_code': 4503599660926832, 'n': 18, 'trace_an': 0}
  • id: 16509504
    {'hecke_orbit_code': 4503599660926832, 'n': 19, 'trace_an': 6}
  • id: 16509505
    {'hecke_orbit_code': 4503599660926832, 'n': 20, 'trace_an': 0}
  • id: 16509506
    {'hecke_orbit_code': 4503599660926832, 'n': 21, 'trace_an': 2}
  • id: 16509507
    {'hecke_orbit_code': 4503599660926832, 'n': 22, 'trace_an': 0}
  • id: 16509508
    {'hecke_orbit_code': 4503599660926832, 'n': 23, 'trace_an': 0}
  • id: 16509509
    {'hecke_orbit_code': 4503599660926832, 'n': 24, 'trace_an': 0}
  • id: 16509510
    {'hecke_orbit_code': 4503599660926832, 'n': 25, 'trace_an': 11}
  • id: 16509511
    {'hecke_orbit_code': 4503599660926832, 'n': 26, 'trace_an': 0}
  • id: 16509512
    {'hecke_orbit_code': 4503599660926832, 'n': 27, 'trace_an': 4}
  • id: 16509513
    {'hecke_orbit_code': 4503599660926832, 'n': 28, 'trace_an': 0}
  • id: 16509514
    {'hecke_orbit_code': 4503599660926832, 'n': 29, 'trace_an': 6}
  • id: 16509515
    {'hecke_orbit_code': 4503599660926832, 'n': 30, 'trace_an': 0}
  • id: 16509516
    {'hecke_orbit_code': 4503599660926832, 'n': 31, 'trace_an': -4}
  • id: 16509517
    {'hecke_orbit_code': 4503599660926832, 'n': 32, 'trace_an': 0}
  • id: 16509518
    {'hecke_orbit_code': 4503599660926832, 'n': 33, 'trace_an': -8}
  • id: 16509519
    {'hecke_orbit_code': 4503599660926832, 'n': 34, 'trace_an': 0}
  • id: 16509520
    {'hecke_orbit_code': 4503599660926832, 'n': 35, 'trace_an': -4}
  • id: 16509521
    {'hecke_orbit_code': 4503599660926832, 'n': 36, 'trace_an': 0}
  • id: 16509522
    {'hecke_orbit_code': 4503599660926832, 'n': 37, 'trace_an': -10}
  • id: 16509523
    {'hecke_orbit_code': 4503599660926832, 'n': 38, 'trace_an': 0}
  • id: 16509524
    {'hecke_orbit_code': 4503599660926832, 'n': 39, 'trace_an': 8}
  • id: 16509525
    {'hecke_orbit_code': 4503599660926832, 'n': 40, 'trace_an': 0}
  • id: 16509526
    {'hecke_orbit_code': 4503599660926832, 'n': 41, 'trace_an': 6}
  • id: 16509527
    {'hecke_orbit_code': 4503599660926832, 'n': 42, 'trace_an': 0}
  • id: 16509528
    {'hecke_orbit_code': 4503599660926832, 'n': 43, 'trace_an': 0}
  • id: 16509529
    {'hecke_orbit_code': 4503599660926832, 'n': 44, 'trace_an': 0}
  • id: 16509530
    {'hecke_orbit_code': 4503599660926832, 'n': 45, 'trace_an': 4}
  • id: 16509531
    {'hecke_orbit_code': 4503599660926832, 'n': 46, 'trace_an': 0}
  • id: 16509532
    {'hecke_orbit_code': 4503599660926832, 'n': 47, 'trace_an': -4}
  • id: 16509533
    {'hecke_orbit_code': 4503599660926832, 'n': 48, 'trace_an': 0}
  • id: 16509534
    {'hecke_orbit_code': 4503599660926832, 'n': 49, 'trace_an': 1}
  • id: 16509535
    {'hecke_orbit_code': 4503599660926832, 'n': 50, 'trace_an': 0}
  • id: 16509536
    {'hecke_orbit_code': 4503599660926832, 'n': 51, 'trace_an': 2}
  • id: 16509537
    {'hecke_orbit_code': 4503599660926832, 'n': 52, 'trace_an': 0}
  • id: 16509538
    {'hecke_orbit_code': 4503599660926832, 'n': 53, 'trace_an': 14}
  • id: 16509539
    {'hecke_orbit_code': 4503599660926832, 'n': 54, 'trace_an': 0}
  • id: 16509540
    {'hecke_orbit_code': 4503599660926832, 'n': 55, 'trace_an': 16}
  • id: 16509541
    {'hecke_orbit_code': 4503599660926832, 'n': 56, 'trace_an': 0}
  • id: 16509542
    {'hecke_orbit_code': 4503599660926832, 'n': 57, 'trace_an': -12}
  • id: 16509543
    {'hecke_orbit_code': 4503599660926832, 'n': 58, 'trace_an': 0}
  • id: 16509544
    {'hecke_orbit_code': 4503599660926832, 'n': 59, 'trace_an': 6}
  • id: 16509545
    {'hecke_orbit_code': 4503599660926832, 'n': 60, 'trace_an': 0}
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  • id: 16509551
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  • id: 16509552
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  • id: 16509553
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  • id: 16509556
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  • id: 16509558
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  • id: 16509559
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  • id: 16509561
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  • id: 16509562
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  • id: 16509563
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  • id: 16509564
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  • id: 16509565
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  • id: 16509566
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  • id: 16509567
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  • id: 16509568
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  • id: 16509570
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  • id: 16509571
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  • id: 16509572
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  • id: 16509574
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  • id: 16509576
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  • id: 16509578
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  • id: 16509580
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  • id: 16509584
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  • id: 16509586
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  • id: 16509587
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  • id: 16509588
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  • id: 16509589
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  • id: 16509590
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  • id: 16509591
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  • id: 16509592
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  • id: 16509593
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  • id: 16509594
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  • id: 16509595
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  • id: 16509596
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  • id: 16509597
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  • id: 16509598
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  • id: 16509602
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  • id: 16509607
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  • id: 16509609
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  • id: 16509611
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  • id: 16509612
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  • id: 16509613
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  • id: 16509614
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  • id: 16509615
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  • id: 16509616
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  • id: 16509617
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  • id: 16509618
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  • id: 16509619
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  • id: 16509620
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  • id: 16509621
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  • id: 16509622
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  • id: 16509623
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  • id: 16509624
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  • id: 16509625
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  • id: 16509626
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  • id: 16509627
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  • id: 16509628
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  • id: 16509629
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  • id: 16509630
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  • id: 16509631
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  • id: 16509632
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  • id: 16509633
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  • id: 16509634
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  • id: 16509635
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  • id: 16509636
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  • id: 16509637
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  • id: 16509638
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  • id: 16509639
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  • id: 16509640
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  • id: 16509641
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  • id: 16509642
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  • id: 16509643
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  • id: 16509644
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  • id: 16509645
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  • id: 16509646
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  • id: 16509647
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  • id: 16509648
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  • id: 16509649
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  • id: 16509650
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  • id: 16509651
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  • id: 16509652
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  • id: 16509653
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  • id: 16509654
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  • id: 16509655
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  • id: 16509656
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  • id: 16509657
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  • id: 16509658
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  • id: 16509659
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  • id: 16509660
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  • id: 16509661
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  • id: 16509662
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  • id: 16509663
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  • id: 16509664
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  • id: 16509665
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  • id: 16509666
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  • id: 16509667
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  • id: 16509668
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  • id: 16509669
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  • id: 16509670
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  • id: 16509671
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  • id: 16509672
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  • id: 16509673
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  • id: 16509674
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  • id: 16509675
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  • id: 16509676
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  • id: 16509677
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  • id: 16509678
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  • id: 16509679
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  • id: 16509680
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  • id: 16509681
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  • id: 16509682
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  • id: 16509683
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  • id: 16509684
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  • id: 16509685
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  • id: 16509686
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  • id: 16509687
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  • id: 16509688
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  • id: 16509689
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  • id: 16509690
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  • id: 16509691
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  • id: 16509692
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  • id: 16509693
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  • id: 16509694
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  • id: 16509695
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  • id: 16509696
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  • id: 16509697
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  • id: 16509698
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  • id: 16509699
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  • id: 16509700
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  • id: 16509701
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  • id: 16509702
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  • id: 16509703
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  • id: 16509704
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  • id: 16509705
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  • id: 16509706
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  • id: 16509707
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  • id: 16509708
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  • id: 16509709
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  • id: 16509710
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  • id: 16509711
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  • id: 16509712
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  • id: 16509713
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  • id: 16509714
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  • id: 16509715
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  • id: 16509716
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  • id: 16509717
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  • id: 16509718
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  • id: 16509719
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  • id: 16509720
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  • id: 16509721
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  • id: 16509722
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  • id: 16509723
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  • id: 16509724
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  • id: 16509725
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  • id: 16509726
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  • id: 16509727
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  • id: 16509728
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  • id: 16509729
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  • id: 16509730
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  • id: 16509731
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  • id: 16509732
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  • id: 16509733
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  • id: 16509734
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  • id: 16509735
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  • id: 16509736
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  • id: 16509737
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  • id: 16509738
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  • id: 16509739
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  • id: 16509740
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  • id: 16509741
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  • id: 16509742
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  • id: 16509743
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