Embedded newform data - 6048.2.a.y.1.2

Formats: - HTML - YAML - JSON - 2024-05-02T20:40:09.975904

• 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': 24192, 'analytic_conductor': 48.29352314247038, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [7, 1]], 'atkin_lehner_string': '+++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [6048, 1, [4159, 3781, 3809, 2593], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 8, 'field_disc_factorization': [[2, 3]], 'field_poly': [-2, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 8, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-7, 2, 1]], [11, [-4, 4, 1]], [13, [-8, 0, 1]], [17, [1, -6, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090452384, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '6048.2.a.y', 'level': 6048, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '6048.2.a.y', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta )q^{5}-q^{7}+(-2-\\beta )q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6048.2.a', 'trace_display': [0, 0, -2, -2], 'trace_hash': 1979514424148473646, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.080', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.894', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '79.633', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, 'traces': [2, 0, 0, 0, -2, 0, -2, 0, 0, 0, -4, 0, 0, 0, 0, 0, 6, 0, -8, 0, 0, 0, 8, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 2, 0, -6, 0, 0, 0, 2, 0, -10, 0, 0, 0, -6, 0, 2, 0, 0, 0, -4, 0, -12, 0, 0, 0, 10, 0, 12, 0, 0, 0, 16, 0, -8, 0, 0, 0, 8, 0, 0, 0, 0, 0, 4, 0, -2, 0, 0, 0, 22, 0, -22, 0, 0, 0, -12, 0, 0, 0, 0, 0, -8, 0, -8, 0, 0, 0, -4, 0, -16, 0, 0, 0, 0, 0, -10, 0, 0, 0, -20, 0, -8, 0, 0, 0, -6, 0, 2, 0, 0, 0, -30, 0, -30, 0, 0, 0, -8, 0, 8, 0, 0, 0, 24, 0, -28, 0, 0, 0, -16, 0, 16, 0, 0, 0, -12, 0, -30, 0, 0, 0, 8, 0, 0, 0, 0, 0, -8, 0, -14, 0, 0, 0, 2, 0, -10, 0, 0, 0, -4, 0, -8, 0, 0, 0, -20, 0, 28, 0, 0, 0, 38, 0, 4, 0, 0, 0, 4, 0, -2, 0, 0, 0, -16, 0, -4, 0, 0, 0, 0, 0, 14, 0, 0, 0, 32, 0, 0, 0, 0, 0, -6, 0, -8, 0, 0, 0, -16, 0, -8, 0, 0, 0, -24, 0, -20, 0, 0, 0, 8, 0, -26, 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• 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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• 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

  
  {'AL_dims': [[[[2, -1], [3, -1], [7, -1]], 13, 6], [[[2, -1], [3, 1], [7, -1]], 11, 6], [[[2, -1], [3, -1], [7, 1]], 11, 6], [[[2, 1], [3, -1], [7, -1]], 11, 7], [[[2, 1], [3, -1], [7, 1]], 13, 5], [[[2, -1], [3, 1], [7, 1]], 13, 6], [[[2, 1], [3, 1], [7, -1]], 13, 5], [[[2, 1], [3, 1], [7, 1]], 11, 7]], 'ALdims': [11, 13, 13, 11, 13, 11, 11, 13], 'Nk2': 24192, 'analytic_conductor': 48.29352314247038, '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': [6048, 1, [4159, 3781, 3809, 2593], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1105, 'dim': 96, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13, 17], 'hecke_orbit_code': 33560480, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'label': '6048.2.a', 'level': 6048, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 1200, 'mf_new_dim': 96, 'num_forms': 48, 'plus_dim': 44, 'prim_orbit_index': 1, 'relative_dim': 96, 'sturm_bound': 2304, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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• 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: 48535206
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391090452384, 'source_is_minimal': True, 'source_label': '6048.2.a.y.1.2', 'source_level': 6048, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391090452384, 'target_is_minimal': True, 'target_label': '6048.2.a.y.1.2', 'target_level': 6048, 'twist_class_label': '6048.2.a.y.1.2', 'twist_class_level': 6048, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48535207
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391090452384, 'source_is_minimal': True, 'source_label': '6048.2.a.y.1.2', 'source_level': 6048, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148618787736786848, 'target_is_minimal': True, 'target_label': '6048.2.a.bh.1.1', 'target_level': 6048, 'twist_class_label': '6048.2.a.y.1.2', 'twist_class_level': 6048, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48535208
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391090452384, 'source_is_minimal': True, 'source_label': '6048.2.a.y.1.2', 'source_level': 6048, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 121597189972563872, 'target_is_minimal': True, 'target_label': '6048.2.a.bb.1.2', 'target_level': 6048, 'twist_class_label': '6048.2.a.y.1.2', 'twist_class_level': 6048, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48535209
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391090452384, 'source_is_minimal': True, 'source_label': '6048.2.a.y.1.2', 'source_level': 6048, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 153122387364157344, 'target_is_minimal': True, 'target_label': '6048.2.a.bi.1.1', 'target_level': 6048, 'twist_class_label': '6048.2.a.y.1.2', 'twist_class_level': 6048, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4074250
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 108086391090452384, 'p': 2}
  • id: 4074251
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 108086391090452384, 'p': 3}
  • id: 4074252
    {'charpoly_factorization': [[[-7, 2, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 5}
  • id: 4074253
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 108086391090452384, 'p': 7}
  • id: 4074254
    {'charpoly_factorization': [[[-4, 4, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 11}
  • id: 4074255
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 13}
  • id: 4074256
    {'charpoly_factorization': [[[1, -6, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 17}
  • id: 4074257
    {'charpoly_factorization': [[[8, 8, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 19}
  • id: 4074258
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 108086391090452384, 'p': 23}
  • id: 4074259
    {'charpoly_factorization': [[[-8, 0, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 29}
  • id: 4074260
    {'charpoly_factorization': [[[8, -8, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 31}
  • id: 4074261
    {'charpoly_factorization': [[[-23, 6, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 37}
  • id: 4074262
    {'charpoly_factorization': [[[-7, -2, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 41}
  • id: 4074263
    {'charpoly_factorization': [[[17, 10, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 43}
  • id: 4074264
    {'charpoly_factorization': [[[-23, 6, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 47}
  • id: 4074265
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 108086391090452384, 'p': 53}
  • id: 4074266
    {'charpoly_factorization': [[[-7, -10, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 59}
  • id: 4074267
    {'charpoly_factorization': [[[28, -12, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 61}
  • id: 4074268
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 108086391090452384, 'p': 67}
  • id: 4074269
    {'charpoly_factorization': [[[-16, -8, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 71}
  • id: 4074270
    {'charpoly_factorization': [[[-32, 0, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 73}
  • id: 4074271
    {'charpoly_factorization': [[[-7, 2, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 79}
  • id: 4074272
    {'charpoly_factorization': [[[89, -22, 1], 1]], 'hecke_orbit_code': 108086391090452384, 'p': 83}
  • id: 4074273
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 108086391090452384, 'p': 89}
  • id: 4074274
    {'charpoly_factorization': [[[-184, 8, 1], 1]], 'hecke_orbit_code': 108086391090452384, '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': 25, 'label': '6048.2.a.y', 'level': 6048, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 257583000
    {'hecke_orbit_code': 108086391090452384, 'n': 1, 'trace_an': 2}
  • id: 257583001
    {'hecke_orbit_code': 108086391090452384, 'n': 2, 'trace_an': 0}
  • id: 257583002
    {'hecke_orbit_code': 108086391090452384, 'n': 3, 'trace_an': 0}
  • id: 257583003
    {'hecke_orbit_code': 108086391090452384, 'n': 4, 'trace_an': 0}
  • id: 257583004
    {'hecke_orbit_code': 108086391090452384, 'n': 5, 'trace_an': -2}
  • id: 257583005
    {'hecke_orbit_code': 108086391090452384, 'n': 6, 'trace_an': 0}
  • id: 257583006
    {'hecke_orbit_code': 108086391090452384, 'n': 7, 'trace_an': -2}
  • id: 257583007
    {'hecke_orbit_code': 108086391090452384, 'n': 8, 'trace_an': 0}
  • id: 257583008
    {'hecke_orbit_code': 108086391090452384, 'n': 9, 'trace_an': 0}
  • id: 257583009
    {'hecke_orbit_code': 108086391090452384, 'n': 10, 'trace_an': 0}
  • id: 257583010
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  • id: 257583011
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  • id: 257583012
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  • id: 257583013
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  • id: 257583014
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  • id: 257583015
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  • id: 257583016
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  • id: 257583017
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  • id: 257583018
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  • id: 257583019
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  • id: 257583020
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  • id: 257583021
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  • id: 257583022
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  • id: 257583023
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  • id: 257583024
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  • id: 257583025
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  • id: 257583026
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  • id: 257583027
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  • id: 257583028
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  • id: 257583029
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  • id: 257583030
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  • id: 257583031
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  • id: 257583032
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  • id: 257583033
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  • id: 257583034
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  • id: 257583035
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  • id: 257583036
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  • id: 257583037
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  • id: 257583038
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  • id: 257583039
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  • id: 257583040
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  • id: 257583041
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  • id: 257583042
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  • id: 257583043
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  • id: 257583044
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  • id: 257583045
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  • id: 257583046
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  • id: 257583047
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  • id: 257583048
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  • id: 257583049
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  • id: 257583050
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  • id: 257583051
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  • id: 257583052
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  • id: 257583053
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  • id: 257583054
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  • id: 257583055
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  • id: 257583056
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  • id: 257583057
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  • id: 257583058
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  • id: 257583059
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  • id: 257583060
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  • id: 257583061
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  • id: 257583062
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  • id: 257583063
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  • id: 257583064
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  • id: 257583065
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  • id: 257583066
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  • id: 257583067
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  • id: 257583068
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  • id: 257583069
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  • id: 257583070
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  • id: 257583071
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  • id: 257583072
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  • id: 257583073
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  • id: 257583074
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  • id: 257583075
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  • id: 257583076
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  • id: 257583077
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  • id: 257583078
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  • id: 257583079
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  • id: 257583080
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  • id: 257583081
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  • id: 257583082
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  • id: 257583083
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  • id: 257583084
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  • id: 257583085
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  • id: 257583086
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  • id: 257583087
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  • id: 257583088
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  • id: 257583089
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  • id: 257583090
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  • id: 257583091
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  • id: 257583092
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  • id: 257583093
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  • id: 257583094
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  • id: 257583095
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  • id: 257583096
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  • id: 257583097
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  • id: 257583098
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  • id: 257583099
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  • id: 257583100
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  • id: 257583101
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  • id: 257583102
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  • id: 257583103
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  • id: 257583104
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  • id: 257583105
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  • id: 257583106
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  • id: 257583107
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  • id: 257583108
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  • id: 257583109
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  • id: 257583110
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  • id: 257583111
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  • id: 257583112
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  • id: 257583113
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  • id: 257583114
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  • id: 257583115
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  • id: 257583116
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  • id: 257583117
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  • id: 257583118
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  • id: 257583119
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  • id: 257583120
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  • id: 257583121
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  • id: 257583122
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  • id: 257583123
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  • id: 257583124
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  • id: 257583125
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  • id: 257583126
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  • id: 257583127
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  • id: 257583128
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  • id: 257583129
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  • id: 257583130
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  • id: 257583131
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  • id: 257583132
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  • id: 257583133
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  • id: 257583134
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  • id: 257583135
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  • id: 257583136
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  • id: 257583137
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  • id: 257583138
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  • id: 257583139
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  • id: 257583140
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  • id: 257583141
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  • id: 257583142
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  • id: 257583143
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  • id: 257583144
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  • id: 257583145
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  • id: 257583146
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  • id: 257583147
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  • id: 257583148
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  • id: 257583149
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  • id: 257583150
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  • id: 257583151
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  • id: 257583152
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  • id: 257583153
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  • id: 257583154
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  • id: 257583155
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  • id: 257583156
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  • id: 257583157
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  • id: 257583158
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  • id: 257583159
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  • id: 257583160
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  • id: 257583161
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  • id: 257583162
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  • id: 257583163
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  • id: 257583164
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  • id: 257583165
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  • id: 257583166
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  • id: 257583167
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  • id: 257583168
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  • id: 257583169
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  • id: 257583170
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  • id: 257583171
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  • id: 257583172
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  • id: 257583173
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  • id: 257583174
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  • id: 257583175
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  • id: 257583176
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  • id: 257583177
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  • id: 257583178
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  • id: 257583179
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  • id: 257583180
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  • id: 257583181
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  • id: 257583182
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  • id: 257583184
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  • id: 257583186
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  • id: 257583187
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  • id: 257583188
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  • id: 257583189
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  • id: 257583190
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  • id: 257583191
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  • id: 257583192
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  • id: 257583193
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  • id: 257583194
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  • id: 257583195
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  • id: 257583196
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  • id: 257583197
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  • id: 257583198
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  • id: 257583199
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  • id: 257583200
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  • id: 257583201
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  • id: 257583202
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  • id: 257583203
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  • id: 257583216
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  • id: 257583218
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  • id: 257583219
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  • id: 257583222
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  • id: 257583396
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  • id: 257583402
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  • id: 257583403
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  • id: 257583408
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  • id: 257583409
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  • id: 257583411
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  • id: 257583412
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  • id: 257583421
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  • id: 257583528
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  • id: 257583594
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  • id: 257583606
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  • id: 257583612
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  • id: 257583616
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  • id: 257583622
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  • id: 257583770
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  • id: 257583773
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  • id: 257583775
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  • id: 257583777
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  • id: 257583778
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  • id: 257583779
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  • id: 257583780
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  • id: 257583781
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  • id: 257583782
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  • id: 257583783
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  • id: 257583784
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  • id: 257583785
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  • id: 257583786
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  • id: 257583787
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  • id: 257583788
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  • id: 257583789
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  • id: 257583790
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  • id: 257583791
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  • id: 257583792
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  • id: 257583793
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  • id: 257583794
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  • id: 257583795
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  • id: 257583796
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  • id: 257583797
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  • id: 257583798
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  • id: 257583799
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  • id: 257583800
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  • id: 257583801
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  • id: 257583802
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  • id: 257583803
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  • id: 257583804
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  • id: 257583805
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  • id: 257583806
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  • id: 257583807
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  • id: 257583808
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  • id: 257583809
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  • id: 257583810
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  • id: 257583811
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  • id: 257583812
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  • id: 257583813
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  • id: 257583814
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  • id: 257583815
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  • id: 257583816
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  • id: 257583817
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  • id: 257583818
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  • id: 257583819
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  • id: 257583820
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  • id: 257583821
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  • id: 257583822
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  • id: 257583823
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  • id: 257583824
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  • id: 257583825
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  • id: 257583826
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  • id: 257583827
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  • id: 257583828
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  • id: 257583829
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  • id: 257583830
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  • id: 257583831
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  • id: 257583832
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  • id: 257583833
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  • id: 257583834
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  • id: 257583835
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  • id: 257583836
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  • id: 257583837
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  • id: 257583838
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  • id: 257583839
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  • id: 257583840
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  • id: 257583841
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  • id: 257583842
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  • id: 257583843
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  • id: 257583844
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  • id: 257583845
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  • id: 257583846
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  • id: 257583847
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  • id: 257583848
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  • id: 257583849
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  • id: 257583850
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  • id: 257583851
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  • id: 257583852
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  • id: 257583853
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  • id: 257583854
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  • id: 257583855
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  • id: 257583856
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  • id: 257583857
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  • id: 257583858
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  • id: 257583859
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  • id: 257583860
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  • id: 257583861
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  • id: 257583862
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  • id: 257583863
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  • id: 257583864
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  • id: 257583865
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  • id: 257583866
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  • id: 257583867
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  • id: 257583868
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  • id: 257583869
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  • id: 257583870
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  • id: 257583871
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  • id: 257583872
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  • id: 257583873
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  • id: 257583874
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  • id: 257583875
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  • id: 257583876
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  • id: 257583877
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  • id: 257583878
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  • id: 257583879
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  • id: 257583880
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  • id: 257583881
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  • id: 257583882
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  • id: 257583883
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  • id: 257583884
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  • id: 257583885
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  • id: 257583886
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  • id: 257583887
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  • id: 257583888
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  • id: 257583889
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  • id: 257583890
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  • id: 257583891
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  • id: 257583892
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  • id: 257583893
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  • id: 257583894
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  • id: 257583895
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  • id: 257583896
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  • id: 257583897
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  • id: 257583898
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  • id: 257583899
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  • id: 257583900
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  • id: 257583901
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  • id: 257583902
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  • id: 257583903
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  • id: 257583904
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  • id: 257583905
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  • id: 257583906
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  • id: 257583907
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  • id: 257583908
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  • id: 257583909
    {'hecke_orbit_code': 108086391090452384, 'n': 910, 'trace_an': 0}
  • id: 257583910
    {'hecke_orbit_code': 108086391090452384, 'n': 911, 'trace_an': 44}
  • id: 257583911
    {'hecke_orbit_code': 108086391090452384, 'n': 912, 'trace_an': 0}
  • id: 257583912
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  • id: 257583913
    {'hecke_orbit_code': 108086391090452384, 'n': 914, 'trace_an': 0}
  • id: 257583914
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  • id: 257583915
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  • id: 257583916
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  • id: 257583917
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  • id: 257583918
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  • id: 257583919
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  • id: 257583920
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  • id: 257583921
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  • id: 257583922
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  • id: 257583923
    {'hecke_orbit_code': 108086391090452384, 'n': 924, 'trace_an': 0}
  • id: 257583924
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  • id: 257583925
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  • id: 257583926
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  • id: 257583927
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  • id: 257583928
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  • id: 257583929
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  • id: 257583930
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  • id: 257583931
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  • id: 257583932
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  • id: 257583933
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  • id: 257583934
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  • id: 257583935
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  • id: 257583936
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  • id: 257583937
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  • id: 257583938
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  • id: 257583939
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  • id: 257583940
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  • id: 257583941
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  • id: 257583942
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  • id: 257583943
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  • id: 257583944
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  • id: 257583945
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  • id: 257583946
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  • id: 257583947
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  • id: 257583948
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  • id: 257583949
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  • id: 257583950
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  • id: 257583951
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  • id: 257583952
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  • id: 257583953
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  • id: 257583954
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  • id: 257583955
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  • id: 257583956
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  • id: 257583957
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  • id: 257583958
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  • id: 257583959
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  • id: 257583960
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  • id: 257583961
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  • id: 257583962
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  • id: 257583963
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  • id: 257583964
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  • id: 257583965
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  • id: 257583966
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  • id: 257583967
    {'hecke_orbit_code': 108086391090452384, 'n': 968, 'trace_an': 0}
  • id: 257583968
    {'hecke_orbit_code': 108086391090452384, 'n': 969, 'trace_an': 0}
  • id: 257583969
    {'hecke_orbit_code': 108086391090452384, 'n': 970, 'trace_an': 0}
  • id: 257583970
    {'hecke_orbit_code': 108086391090452384, 'n': 971, 'trace_an': -10}
  • id: 257583971
    {'hecke_orbit_code': 108086391090452384, 'n': 972, 'trace_an': 0}
  • id: 257583972
    {'hecke_orbit_code': 108086391090452384, 'n': 973, 'trace_an': 28}
  • id: 257583973
    {'hecke_orbit_code': 108086391090452384, 'n': 974, 'trace_an': 0}
  • id: 257583974
    {'hecke_orbit_code': 108086391090452384, 'n': 975, 'trace_an': 0}
  • id: 257583975
    {'hecke_orbit_code': 108086391090452384, 'n': 976, 'trace_an': 0}
  • id: 257583976
    {'hecke_orbit_code': 108086391090452384, 'n': 977, 'trace_an': -52}
  • id: 257583977
    {'hecke_orbit_code': 108086391090452384, 'n': 978, 'trace_an': 0}
  • id: 257583978
    {'hecke_orbit_code': 108086391090452384, 'n': 979, 'trace_an': 24}
  • id: 257583979
    {'hecke_orbit_code': 108086391090452384, 'n': 980, 'trace_an': 0}
  • id: 257583980
    {'hecke_orbit_code': 108086391090452384, 'n': 981, 'trace_an': 0}
  • id: 257583981
    {'hecke_orbit_code': 108086391090452384, 'n': 982, 'trace_an': 0}
  • id: 257583982
    {'hecke_orbit_code': 108086391090452384, 'n': 983, 'trace_an': -62}
  • id: 257583983
    {'hecke_orbit_code': 108086391090452384, 'n': 984, 'trace_an': 0}
  • id: 257583984
    {'hecke_orbit_code': 108086391090452384, 'n': 985, 'trace_an': 128}
  • id: 257583985
    {'hecke_orbit_code': 108086391090452384, 'n': 986, 'trace_an': 0}
  • id: 257583986
    {'hecke_orbit_code': 108086391090452384, 'n': 987, 'trace_an': 0}
  • id: 257583987
    {'hecke_orbit_code': 108086391090452384, 'n': 988, 'trace_an': 0}
  • id: 257583988
    {'hecke_orbit_code': 108086391090452384, 'n': 989, 'trace_an': -40}
  • id: 257583989
    {'hecke_orbit_code': 108086391090452384, 'n': 990, 'trace_an': 0}
  • id: 257583990
    {'hecke_orbit_code': 108086391090452384, 'n': 991, 'trace_an': 30}
  • id: 257583991
    {'hecke_orbit_code': 108086391090452384, 'n': 992, 'trace_an': 0}
  • id: 257583992
    {'hecke_orbit_code': 108086391090452384, 'n': 993, 'trace_an': 0}
  • id: 257583993
    {'hecke_orbit_code': 108086391090452384, 'n': 994, 'trace_an': 0}
  • id: 257583994
    {'hecke_orbit_code': 108086391090452384, 'n': 995, 'trace_an': -92}
  • id: 257583995
    {'hecke_orbit_code': 108086391090452384, 'n': 996, 'trace_an': 0}
  • id: 257583996
    {'hecke_orbit_code': 108086391090452384, 'n': 997, 'trace_an': -64}
  • id: 257583997
    {'hecke_orbit_code': 108086391090452384, 'n': 998, 'trace_an': 0}
  • id: 257583998
    {'hecke_orbit_code': 108086391090452384, 'n': 999, 'trace_an': 0}
  • id: 257583999
    {'hecke_orbit_code': 108086391090452384, 'n': 1000, 'trace_an': 0}