Embedded newform data - 3822.2.a.bj.1.2

Formats: - HTML - YAML - JSON - 2024-04-25T08:58:55.566170

• 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': 15288, 'analytic_conductor': 30.518823652533364, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [7, 1], [13, 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': [3822, 1, [2549, 3433, 1471], [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, [-1, 1]], [11, [-1, -2, 1]], [17, [-1, -2, 1]], [29, [-23, 6, 1]]], 'hecke_orbit': 36, 'hecke_orbit_code': 157625986991525614, 'hecke_ring_generator_nbound': 11, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3822.2.a.bj', 'level': 3822, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'minimal_twist': '3822.2.a.bj', 'nf_label': '2.2.8.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}-q^{3}+q^{4}+q^{5}+q^{6}-q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3822.2.a', 'trace_display': [-2, -2, 2, 0], 'trace_hash': 831761615884258288, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.873', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.905', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '58.697', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.020', 'prec': 17}, 'traces': [2, -2, -2, 2, 2, 2, 0, -2, 2, -2, 2, -2, -2, 0, -2, 2, 2, -2, 2, 2, 0, -2, -6, 2, -8, 2, -2, 0, -6, 2, 0, -2, -2, -2, 0, 2, 2, -2, 2, -2, 8, 0, -14, 2, 2, 6, 4, -2, 0, 8, -2, -2, -16, 2, 2, 0, -2, 6, 0, -2, -14, 0, 0, 2, -2, 2, 0, 2, 6, 0, -4, -2, -18, -2, 8, 2, 0, -2, 12, 2, 2, -8, 12, 0, 2, 14, 6, -2, 4, -2, 0, -6, 0, -4, 2, 2, -8, 0, 2, -8, 12, 2, -2, 2, 0, 16, 12, -2, -2, -2, -2, 0, -28, 2, -6, -6, -2, 0, 0, 2, -16, 14, -8, 0, -18, 0, -20, -2, 14, 2, 26, -2, 0, 0, -2, -2, -6, -6, -8, 0, -4, 4, -2, 2, -6, 18, 0, 2, 0, -8, -18, -2, 2, 0, 0, 2, 14, -12, 16, -2, 0, -2, -12, 8, -2, -12, 22, 0, 2, -2, 2, -14, 24, -6, 0, 2, 0, -4, -8, 2, 8, 0, 14, 6, 2, 0, -2, 4, 0, -2, -6, -2, -12, 8, 2, 0, -4, -2, 6, 8, 0, -12, 0, -2, 8, 2, -6, -2, 10, 0, -10, -16, 4, -12, -14, 2, 0, 2, 18, 2, -2, 2, -20, 0, -8, 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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, -1]], 3, 3], [[[2, 1], [3, 1], [7, -1], [13, -1]], 3, 3], [[[2, 1], [3, -1], [7, 1], [13, 1]], 5, 2], [[[2, 1], [3, 1], [7, 1], [13, 1]], 4, 3], [[[2, -1], [3, 1], [7, -1], [13, 1]], 6, 4], [[[2, -1], [3, 1], [7, -1], [13, -1]], 6, 6], [[[2, 1], [3, -1], [7, -1], [13, -1]], 6, 5], [[[2, -1], [3, -1], [7, 1], [13, -1]], 7, 3], [[[2, 1], [3, -1], [7, 1], [13, -1]], 4, 2], [[[2, 1], [3, -1], [7, -1], [13, 1]], 6, 4], [[[2, 1], [3, 1], [7, -1], [13, 1]], 6, 5], [[[2, -1], [3, -1], [7, -1], [13, 1]], 6, 4], [[[2, -1], [3, 1], [7, 1], [13, -1]], 4, 2], [[[2, -1], [3, -1], [7, 1], [13, 1]], 4, 3], [[[2, 1], [3, 1], [7, 1], [13, -1]], 7, 2], [[[2, -1], [3, 1], [7, 1], [13, 1]], 5, 2]], 'ALdims': [4, 7, 6, 3, 5, 4, 6, 6, 5, 4, 6, 6, 4, 7, 6, 3], 'Nk2': 15288, 'analytic_conductor': 30.518823652533364, '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': [3822, 1, [2549, 3433, 1471], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 753, 'dim': 82, 'eis_dim': 63, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 17, 29], 'hecke_orbit_code': 33558254, '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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4], 'label': '3822.2.a', 'level': 3822, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'mf_dim': 816, 'mf_new_dim': 82, 'num_forms': 53, 'plus_dim': 34, 'prim_orbit_index': 1, 'relative_dim': 82, 'sturm_bound': 1568, 'trace_bound': 11, 'trace_display': [0, 0, -8, 0], 'traces': [82, 0, 0, 82, -8, -2, 0, 0, 82, -4, -8, 0, -2, 0, -4, 82, -4, 0, 4, -8, 0, -16, -8, -2, 54, 0, 0, 0, -20, -8, -12, 0, 0, -16, 0, 82, 4, -12, 0, -4, 0, 0, -16, -8, -8, 8, 8, 0, 0, 0, 0, -2, -12, -2, 0, 0, 12, 0, -32, -4, 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-164, -4, 304, 24, -72, 0, 312, 88, -8, 88, 56, 68, 0, -16, -8, 40, 360, -20, -504, 0, -28, -144, 168, 64, 80, -120, 0, 136, 48, -72, 444, -244, -104, 0, -56, 288, 132, 140, -160, 176, 0, 2, 206, -432, -48, -136, -312, 0, 680, -8, -12, -52, 24, -32, 0, 192, -252, -12, -468, 16, 48, 0, 160, 240, -264, 0, 84, -16, 0, -324, -20, 96, 240, 32, 8, 0, 240, -32, -32, 308, -8, -36, 0, -124, 336, 32, -104, -152, -288, 0, -500, 0, 184, 16, -60, -28, 0, -88, 256, -96, 192, 112, 384, 0, 104, 56, -4, 256, 192, -136, 0, 400, -32, -8, -368, -240, -48, 0, -368, 4, -160, -48, -24, -28, 0, -120, 144, 240, 336, 20, 216, 0, -36, -348, 156, -48, -456, -10, 0, 176, 200, -8, -812, -96, -224, 0, 592, -16, -224, 82, -148, -32, 0, -72, -416, -44, 384, -112, 2, 0, 80, 16, 344, 144, 132, -92, 0, -20, -728, -32, 48, 8, 280, 0, 240, -188, 0, 8, -320, 128, 0, -24, -240, 40, -72, 4, 60, 0, 352, 12, 112, 88, -304, 0, 0, 432, -640, 4, -72, 48, -160, 0, -216, 168, -116, -80, -176, 8, 0, -12, -132, 88, -124, 136, 176, 0, 232, -144, -96, 292, -208, 0, 0, -32, -256, 16, -144, -124, -32, 0, 4, -96, 72, -48], '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: 48847090
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 157625986991525614, 'source_is_minimal': True, 'source_label': '3822.2.a.bj.1.2', 'source_level': 3822, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 157625986991525614, 'target_is_minimal': True, 'target_label': '3822.2.a.bj.1.2', 'target_level': 3822, 'twist_class_label': '3822.2.a.bj.1.2', 'twist_class_level': 3822, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48847091
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 157625986991525614, 'source_is_minimal': True, 'source_label': '3822.2.a.bj.1.2', 'source_level': 3822, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 166633186246266606, 'target_is_minimal': True, 'target_label': '3822.2.a.bl.1.2', 'target_level': 3822, 'twist_class_label': '3822.2.a.bj.1.2', 'twist_class_level': 3822, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3378875
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 157625986991525614, 'p': 2}
  • id: 3378876
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 157625986991525614, 'p': 3}
  • id: 3378877
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 157625986991525614, 'p': 5}
  • id: 3378878
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 157625986991525614, 'p': 7}
  • id: 3378879
    {'charpoly_factorization': [[[-1, -2, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 11}
  • id: 3378880
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 157625986991525614, 'p': 13}
  • id: 3378881
    {'charpoly_factorization': [[[-1, -2, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 17}
  • id: 3378882
    {'charpoly_factorization': [[[-7, -2, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 19}
  • id: 3378883
    {'charpoly_factorization': [[[-23, 6, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 23}
  • id: 3378884
    {'charpoly_factorization': [[[-23, 6, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 29}
  • id: 3378885
    {'charpoly_factorization': [[[-18, 0, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 31}
  • id: 3378886
    {'charpoly_factorization': [[[-17, -2, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 37}
  • id: 3378887
    {'charpoly_factorization': [[[8, -8, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 41}
  • id: 3378888
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 157625986991525614, 'p': 43}
  • id: 3378889
    {'charpoly_factorization': [[[-28, -4, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 47}
  • id: 3378890
    {'charpoly_factorization': [[[32, 16, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 53}
  • id: 3378891
    {'charpoly_factorization': [[[-98, 0, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 59}
  • id: 3378892
    {'charpoly_factorization': [[[47, 14, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 61}
  • id: 3378893
    {'charpoly_factorization': [[[-2, 0, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 67}
  • id: 3378894
    {'charpoly_factorization': [[[-46, 4, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 71}
  • id: 3378895
    {'charpoly_factorization': [[[73, 18, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 73}
  • id: 3378896
    {'charpoly_factorization': [[[18, -12, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 79}
  • id: 3378897
    {'charpoly_factorization': [[[4, -12, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 83}
  • id: 3378898
    {'charpoly_factorization': [[[2, -4, 1], 1]], 'hecke_orbit_code': 157625986991525614, 'p': 89}
  • id: 3378899
    {'charpoly_factorization': [[[-112, 8, 1], 1]], 'hecke_orbit_code': 157625986991525614, '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': 36, 'label': '3822.2.a.bj', 'level': 3822, '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: 270180000
    {'hecke_orbit_code': 157625986991525614, 'n': 1, 'trace_an': 2}
  • id: 270180001
    {'hecke_orbit_code': 157625986991525614, 'n': 2, 'trace_an': -2}
  • id: 270180002
    {'hecke_orbit_code': 157625986991525614, 'n': 3, 'trace_an': -2}
  • id: 270180003
    {'hecke_orbit_code': 157625986991525614, 'n': 4, 'trace_an': 2}
  • id: 270180004
    {'hecke_orbit_code': 157625986991525614, 'n': 5, 'trace_an': 2}
  • id: 270180005
    {'hecke_orbit_code': 157625986991525614, 'n': 6, 'trace_an': 2}
  • id: 270180006
    {'hecke_orbit_code': 157625986991525614, 'n': 7, 'trace_an': 0}
  • id: 270180007
    {'hecke_orbit_code': 157625986991525614, 'n': 8, 'trace_an': -2}
  • id: 270180008
    {'hecke_orbit_code': 157625986991525614, 'n': 9, 'trace_an': 2}
  • id: 270180009
    {'hecke_orbit_code': 157625986991525614, 'n': 10, 'trace_an': -2}
  • id: 270180010
    {'hecke_orbit_code': 157625986991525614, 'n': 11, 'trace_an': 2}
  • id: 270180011
    {'hecke_orbit_code': 157625986991525614, 'n': 12, 'trace_an': -2}
  • id: 270180012
    {'hecke_orbit_code': 157625986991525614, 'n': 13, 'trace_an': -2}
  • id: 270180013
    {'hecke_orbit_code': 157625986991525614, 'n': 14, 'trace_an': 0}
  • id: 270180014
    {'hecke_orbit_code': 157625986991525614, 'n': 15, 'trace_an': -2}
  • id: 270180015
    {'hecke_orbit_code': 157625986991525614, 'n': 16, 'trace_an': 2}
  • id: 270180016
    {'hecke_orbit_code': 157625986991525614, 'n': 17, 'trace_an': 2}
  • id: 270180017
    {'hecke_orbit_code': 157625986991525614, 'n': 18, 'trace_an': -2}
  • id: 270180018
    {'hecke_orbit_code': 157625986991525614, 'n': 19, 'trace_an': 2}
  • id: 270180019
    {'hecke_orbit_code': 157625986991525614, 'n': 20, 'trace_an': 2}
  • id: 270180020
    {'hecke_orbit_code': 157625986991525614, 'n': 21, 'trace_an': 0}
  • id: 270180021
    {'hecke_orbit_code': 157625986991525614, 'n': 22, 'trace_an': -2}
  • id: 270180022
    {'hecke_orbit_code': 157625986991525614, 'n': 23, 'trace_an': -6}
  • id: 270180023
    {'hecke_orbit_code': 157625986991525614, 'n': 24, 'trace_an': 2}
  • id: 270180024
    {'hecke_orbit_code': 157625986991525614, 'n': 25, 'trace_an': -8}
  • id: 270180025
    {'hecke_orbit_code': 157625986991525614, 'n': 26, 'trace_an': 2}
  • id: 270180026
    {'hecke_orbit_code': 157625986991525614, 'n': 27, 'trace_an': -2}
  • id: 270180027
    {'hecke_orbit_code': 157625986991525614, 'n': 28, 'trace_an': 0}
  • id: 270180028
    {'hecke_orbit_code': 157625986991525614, 'n': 29, 'trace_an': -6}
  • id: 270180029
    {'hecke_orbit_code': 157625986991525614, 'n': 30, 'trace_an': 2}
  • id: 270180030
    {'hecke_orbit_code': 157625986991525614, 'n': 31, 'trace_an': 0}
  • id: 270180031
    {'hecke_orbit_code': 157625986991525614, 'n': 32, 'trace_an': -2}
  • id: 270180032
    {'hecke_orbit_code': 157625986991525614, 'n': 33, 'trace_an': -2}
  • id: 270180033
    {'hecke_orbit_code': 157625986991525614, 'n': 34, 'trace_an': -2}
  • id: 270180034
    {'hecke_orbit_code': 157625986991525614, 'n': 35, 'trace_an': 0}
  • id: 270180035
    {'hecke_orbit_code': 157625986991525614, 'n': 36, 'trace_an': 2}
  • id: 270180036
    {'hecke_orbit_code': 157625986991525614, 'n': 37, 'trace_an': 2}
  • id: 270180037
    {'hecke_orbit_code': 157625986991525614, 'n': 38, 'trace_an': -2}
  • id: 270180038
    {'hecke_orbit_code': 157625986991525614, 'n': 39, 'trace_an': 2}
  • id: 270180039
    {'hecke_orbit_code': 157625986991525614, 'n': 40, 'trace_an': -2}
  • id: 270180040
    {'hecke_orbit_code': 157625986991525614, 'n': 41, 'trace_an': 8}
  • id: 270180041
    {'hecke_orbit_code': 157625986991525614, 'n': 42, 'trace_an': 0}
  • id: 270180042
    {'hecke_orbit_code': 157625986991525614, 'n': 43, 'trace_an': -14}
  • id: 270180043
    {'hecke_orbit_code': 157625986991525614, 'n': 44, 'trace_an': 2}
  • id: 270180044
    {'hecke_orbit_code': 157625986991525614, 'n': 45, 'trace_an': 2}
  • id: 270180045
    {'hecke_orbit_code': 157625986991525614, 'n': 46, 'trace_an': 6}
  • id: 270180046
    {'hecke_orbit_code': 157625986991525614, 'n': 47, 'trace_an': 4}
  • id: 270180047
    {'hecke_orbit_code': 157625986991525614, 'n': 48, 'trace_an': -2}
  • id: 270180048
    {'hecke_orbit_code': 157625986991525614, 'n': 49, 'trace_an': 0}
  • id: 270180049
    {'hecke_orbit_code': 157625986991525614, 'n': 50, 'trace_an': 8}
  • id: 270180050
    {'hecke_orbit_code': 157625986991525614, 'n': 51, 'trace_an': -2}
  • id: 270180051
    {'hecke_orbit_code': 157625986991525614, 'n': 52, 'trace_an': -2}
  • id: 270180052
    {'hecke_orbit_code': 157625986991525614, 'n': 53, 'trace_an': -16}
  • id: 270180053
    {'hecke_orbit_code': 157625986991525614, 'n': 54, 'trace_an': 2}
  • id: 270180054
    {'hecke_orbit_code': 157625986991525614, 'n': 55, 'trace_an': 2}
  • id: 270180055
    {'hecke_orbit_code': 157625986991525614, 'n': 56, 'trace_an': 0}
  • id: 270180056
    {'hecke_orbit_code': 157625986991525614, 'n': 57, 'trace_an': -2}
  • id: 270180057
    {'hecke_orbit_code': 157625986991525614, 'n': 58, 'trace_an': 6}
  • id: 270180058
    {'hecke_orbit_code': 157625986991525614, 'n': 59, 'trace_an': 0}
  • id: 270180059
    {'hecke_orbit_code': 157625986991525614, 'n': 60, 'trace_an': -2}
  • id: 270180060
    {'hecke_orbit_code': 157625986991525614, 'n': 61, 'trace_an': -14}
  • id: 270180061
    {'hecke_orbit_code': 157625986991525614, 'n': 62, 'trace_an': 0}
  • id: 270180062
    {'hecke_orbit_code': 157625986991525614, 'n': 63, 'trace_an': 0}
  • id: 270180063
    {'hecke_orbit_code': 157625986991525614, 'n': 64, 'trace_an': 2}
  • id: 270180064
    {'hecke_orbit_code': 157625986991525614, 'n': 65, 'trace_an': -2}
  • id: 270180065
    {'hecke_orbit_code': 157625986991525614, 'n': 66, 'trace_an': 2}
  • id: 270180066
    {'hecke_orbit_code': 157625986991525614, 'n': 67, 'trace_an': 0}
  • id: 270180067
    {'hecke_orbit_code': 157625986991525614, 'n': 68, 'trace_an': 2}
  • id: 270180068
    {'hecke_orbit_code': 157625986991525614, 'n': 69, 'trace_an': 6}
  • id: 270180069
    {'hecke_orbit_code': 157625986991525614, 'n': 70, 'trace_an': 0}
  • id: 270180070
    {'hecke_orbit_code': 157625986991525614, 'n': 71, 'trace_an': -4}
  • id: 270180071
    {'hecke_orbit_code': 157625986991525614, 'n': 72, 'trace_an': -2}
  • id: 270180072
    {'hecke_orbit_code': 157625986991525614, 'n': 73, 'trace_an': -18}
  • id: 270180073
    {'hecke_orbit_code': 157625986991525614, 'n': 74, 'trace_an': -2}
  • id: 270180074
    {'hecke_orbit_code': 157625986991525614, 'n': 75, 'trace_an': 8}
  • id: 270180075
    {'hecke_orbit_code': 157625986991525614, 'n': 76, 'trace_an': 2}
  • id: 270180076
    {'hecke_orbit_code': 157625986991525614, 'n': 77, 'trace_an': 0}
  • id: 270180077
    {'hecke_orbit_code': 157625986991525614, 'n': 78, 'trace_an': -2}
  • id: 270180078
    {'hecke_orbit_code': 157625986991525614, 'n': 79, 'trace_an': 12}
  • id: 270180079
    {'hecke_orbit_code': 157625986991525614, 'n': 80, 'trace_an': 2}
  • id: 270180080
    {'hecke_orbit_code': 157625986991525614, 'n': 81, 'trace_an': 2}
  • id: 270180081
    {'hecke_orbit_code': 157625986991525614, 'n': 82, 'trace_an': -8}
  • id: 270180082
    {'hecke_orbit_code': 157625986991525614, 'n': 83, 'trace_an': 12}
  • id: 270180083
    {'hecke_orbit_code': 157625986991525614, 'n': 84, 'trace_an': 0}
  • id: 270180084
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  • id: 270180085
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  • id: 270180086
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  • id: 270180087
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  • id: 270180088
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  • id: 270180089
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  • id: 270180090
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  • id: 270180091
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  • id: 270180092
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  • id: 270180093
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  • id: 270180094
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  • id: 270180095
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  • id: 270180096
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  • id: 270180097
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  • id: 270180098
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  • id: 270180099
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  • id: 270180100
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  • id: 270180101
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  • id: 270180102
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  • id: 270180103
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  • id: 270180104
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  • id: 270180105
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  • id: 270180106
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  • id: 270180107
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  • id: 270180108
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  • id: 270180109
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  • id: 270180110
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  • id: 270180111
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  • id: 270180112
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  • id: 270180113
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  • id: 270180114
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  • id: 270180115
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  • id: 270180116
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  • id: 270180117
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  • id: 270180118
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  • id: 270180119
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  • id: 270180120
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  • id: 270180121
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  • id: 270180122
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  • id: 270180123
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  • id: 270180124
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  • id: 270180125
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  • id: 270180126
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  • id: 270180127
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  • id: 270180128
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  • id: 270180129
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  • id: 270180130
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  • id: 270180131
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  • id: 270180132
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  • id: 270180133
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  • id: 270180134
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  • id: 270180135
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  • id: 270180136
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  • id: 270180137
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  • id: 270180138
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  • id: 270180139
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  • id: 270180140
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  • id: 270180141
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  • id: 270180142
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  • id: 270180143
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  • id: 270180144
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  • id: 270180145
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  • id: 270180146
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  • id: 270180147
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  • id: 270180148
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  • id: 270180149
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  • id: 270180150
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  • id: 270180151
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  • id: 270180152
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  • id: 270180153
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  • id: 270180154
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  • id: 270180155
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  • id: 270180156
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  • id: 270180157
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  • id: 270180158
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  • id: 270180159
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  • id: 270180160
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  • id: 270180161
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  • id: 270180162
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  • id: 270180163
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  • id: 270180164
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  • id: 270180165
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  • id: 270180166
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  • id: 270180167
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  • id: 270180168
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  • id: 270180169
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  • id: 270180170
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  • id: 270180171
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  • id: 270180172
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  • id: 270180173
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  • id: 270180174
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  • id: 270180175
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  • id: 270180176
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  • id: 270180177
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  • id: 270180178
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  • id: 270180179
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  • id: 270180180
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  • id: 270180181
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  • id: 270180182
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  • id: 270180183
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  • id: 270180184
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  • id: 270180185
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  • id: 270180186
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  • id: 270180187
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  • id: 270180188
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  • id: 270180189
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  • id: 270180190
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  • id: 270180191
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  • id: 270180192
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  • id: 270180193
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  • id: 270180194
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  • id: 270180195
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  • id: 270180196
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  • id: 270180197
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  • id: 270180198
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  • id: 270180199
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  • id: 270180200
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  • id: 270180201
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  • id: 270180202
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  • id: 270180203
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  • id: 270180204
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  • id: 270180205
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  • id: 270180206
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  • id: 270180207
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  • id: 270180208
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  • id: 270180209
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  • id: 270180210
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  • id: 270180211
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  • id: 270180212
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  • id: 270180213
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  • id: 270180214
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  • id: 270180215
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  • id: 270180216
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  • id: 270180217
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  • id: 270180218
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  • id: 270180219
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  • id: 270180220
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  • id: 270180221
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  • id: 270180222
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  • id: 270180223
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  • id: 270180224
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  • id: 270180225
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  • id: 270180226
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  • id: 270180227
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  • id: 270180228
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  • id: 270180229
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  • id: 270180230
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  • id: 270180231
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  • id: 270180232
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  • id: 270180233
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  • id: 270180234
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  • id: 270180235
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  • id: 270180236
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  • id: 270180237
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  • id: 270180238
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  • id: 270180239
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  • id: 270180240
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  • id: 270180241
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  • id: 270180242
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  • id: 270180243
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  • id: 270180244
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  • id: 270180245
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  • id: 270180246
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  • id: 270180247
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  • id: 270180248
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  • id: 270180249
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  • id: 270180250
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  • id: 270180251
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  • id: 270180252
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  • id: 270180253
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  • id: 270180254
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  • id: 270180255
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  • id: 270180256
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  • id: 270180257
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  • id: 270180258
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  • id: 270180259
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  • id: 270180260
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  • id: 270180261
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  • id: 270180262
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  • id: 270180263
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  • id: 270180264
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  • id: 270180265
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  • id: 270180266
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  • id: 270180267
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  • id: 270180268
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  • id: 270180269
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  • id: 270180270
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  • id: 270180271
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  • id: 270180272
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  • id: 270180273
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  • id: 270180274
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  • id: 270180275
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  • id: 270180276
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  • id: 270180468
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  • id: 270180469
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  • id: 270180470
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  • id: 270180471
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  • id: 270180472
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  • id: 270180473
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  • id: 270180474
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  • id: 270180475
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  • id: 270180476
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  • id: 270180477
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  • id: 270180478
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  • id: 270180479
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  • id: 270180480
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  • id: 270180481
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  • id: 270180482
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  • id: 270180483
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  • id: 270180484
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  • id: 270180485
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  • id: 270180486
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  • id: 270180487
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  • id: 270180488
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  • id: 270180489
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  • id: 270180490
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  • id: 270180491
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  • id: 270180492
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  • id: 270180493
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  • id: 270180494
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  • id: 270180495
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  • id: 270180496
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  • id: 270180497
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  • id: 270180498
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  • id: 270180499
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  • id: 270180500
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  • id: 270180501
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  • id: 270180502
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  • id: 270180503
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  • id: 270180504
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  • id: 270180505
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  • id: 270180506
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  • id: 270180507
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  • id: 270180508
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  • id: 270180509
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  • id: 270180510
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  • id: 270180511
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  • id: 270180512
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  • id: 270180513
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  • id: 270180514
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  • id: 270180515
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  • id: 270180516
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  • id: 270180517
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  • id: 270180518
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  • id: 270180519
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  • id: 270180520
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  • id: 270180521
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  • id: 270180522
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  • id: 270180523
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  • id: 270180524
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  • id: 270180525
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  • id: 270180526
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  • id: 270180527
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  • id: 270180528
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  • id: 270180529
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  • id: 270180530
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  • id: 270180531
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  • id: 270180532
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  • id: 270180533
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  • id: 270180534
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  • id: 270180535
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  • id: 270180536
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  • id: 270180537
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  • id: 270180538
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  • id: 270180539
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  • id: 270180540
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  • id: 270180541
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  • id: 270180542
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  • id: 270180543
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  • id: 270180544
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  • id: 270180545
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  • id: 270180546
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  • id: 270180547
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  • id: 270180548
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  • id: 270180549
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  • id: 270180550
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  • id: 270180551
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  • id: 270180552
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  • id: 270180553
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  • id: 270180554
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  • id: 270180555
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  • id: 270180556
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  • id: 270180557
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  • id: 270180558
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  • id: 270180559
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  • id: 270180560
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  • id: 270180561
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  • id: 270180562
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  • id: 270180563
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  • id: 270180564
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  • id: 270180565
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  • id: 270180566
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  • id: 270180567
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  • id: 270180568
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  • id: 270180569
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  • id: 270180570
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  • id: 270180571
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  • id: 270180572
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  • id: 270180573
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  • id: 270180574
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  • id: 270180575
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  • id: 270180576
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  • id: 270180577
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  • id: 270180578
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  • id: 270180579
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  • id: 270180580
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  • id: 270180581
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  • id: 270180582
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  • id: 270180583
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  • id: 270180584
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  • id: 270180585
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  • id: 270180586
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  • id: 270180587
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  • id: 270180588
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  • id: 270180589
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  • id: 270180590
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  • id: 270180591
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  • id: 270180592
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  • id: 270180593
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  • id: 270180594
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  • id: 270180595
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  • id: 270180596
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  • id: 270180597
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  • id: 270180598
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  • id: 270180599
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  • id: 270180600
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  • id: 270180601
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  • id: 270180602
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  • id: 270180603
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  • id: 270180604
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  • id: 270180605
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  • id: 270180606
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  • id: 270180607
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  • id: 270180608
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  • id: 270180609
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  • id: 270180610
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  • id: 270180611
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  • id: 270180612
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  • id: 270180613
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  • id: 270180614
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  • id: 270180615
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  • id: 270180616
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  • id: 270180617
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  • id: 270180618
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  • id: 270180619
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  • id: 270180620
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  • id: 270180621
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  • id: 270180622
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  • id: 270180623
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  • id: 270180624
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  • id: 270180625
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  • id: 270180626
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  • id: 270180627
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  • id: 270180628
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  • id: 270180629
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  • id: 270180630
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  • id: 270180631
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  • id: 270180632
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  • id: 270180633
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  • id: 270180634
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  • id: 270180635
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  • id: 270180637
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  • id: 270180639
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  • id: 270180641
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  • id: 270180644
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  • id: 270180645
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  • id: 270180646
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  • id: 270180648
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  • id: 270180649
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  • id: 270180651
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  • id: 270180653
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  • id: 270180654
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  • id: 270180655
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  • id: 270180656
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  • id: 270180847
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  • id: 270180848
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  • id: 270180849
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  • id: 270180850
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  • id: 270180851
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  • id: 270180852
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  • id: 270180853
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  • id: 270180854
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  • id: 270180855
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  • id: 270180856
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  • id: 270180857
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  • id: 270180858
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  • id: 270180859
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  • id: 270180860
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  • id: 270180861
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  • id: 270180862
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  • id: 270180863
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  • id: 270180864
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  • id: 270180865
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  • id: 270180866
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  • id: 270180867
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  • id: 270180868
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  • id: 270180869
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  • id: 270180870
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  • id: 270180871
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  • id: 270180872
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  • id: 270180873
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  • id: 270180874
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  • id: 270180875
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  • id: 270180876
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  • id: 270180877
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  • id: 270180878
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  • id: 270180879
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  • id: 270180880
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  • id: 270180881
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  • id: 270180882
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  • id: 270180883
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  • id: 270180884
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  • id: 270180885
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  • id: 270180886
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  • id: 270180887
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  • id: 270180888
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  • id: 270180889
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  • id: 270180890
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  • id: 270180891
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  • id: 270180892
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  • id: 270180893
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  • id: 270180894
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  • id: 270180895
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  • id: 270180896
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  • id: 270180897
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  • id: 270180898
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  • id: 270180899
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  • id: 270180900
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  • id: 270180901
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  • id: 270180902
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  • id: 270180903
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  • id: 270180904
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  • id: 270180905
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  • id: 270180906
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  • id: 270180907
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  • id: 270180908
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  • id: 270180909
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  • id: 270180910
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  • id: 270180911
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  • id: 270180912
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  • id: 270180913
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  • id: 270180914
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  • id: 270180915
    {'hecke_orbit_code': 157625986991525614, 'n': 916, 'trace_an': -28}
  • id: 270180916
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  • id: 270180917
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  • id: 270180918
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  • id: 270180919
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  • id: 270180920
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  • id: 270180921
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  • id: 270180922
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  • id: 270180923
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  • id: 270180924
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  • id: 270180925
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  • id: 270180926
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  • id: 270180927
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  • id: 270180928
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  • id: 270180929
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  • id: 270180930
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  • id: 270180931
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  • id: 270180932
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  • id: 270180933
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  • id: 270180934
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  • id: 270180935
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  • id: 270180936
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  • id: 270180937
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  • id: 270180938
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  • id: 270180939
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  • id: 270180940
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  • id: 270180941
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  • id: 270180942
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  • id: 270180943
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  • id: 270180944
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  • id: 270180945
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  • id: 270180946
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  • id: 270180947
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  • id: 270180948
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  • id: 270180949
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  • id: 270180950
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  • id: 270180951
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  • id: 270180952
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  • id: 270180953
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  • id: 270180954
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  • id: 270180955
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  • id: 270180956
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  • id: 270180957
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  • id: 270180958
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  • id: 270180959
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  • id: 270180960
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  • id: 270180961
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  • id: 270180962
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  • id: 270180963
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  • id: 270180964
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  • id: 270180965
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  • id: 270180966
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  • id: 270180967
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  • id: 270180968
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  • id: 270180969
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  • id: 270180970
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  • id: 270180971
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  • id: 270180972
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  • id: 270180973
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  • id: 270180974
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  • id: 270180975
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  • id: 270180976
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  • id: 270180977
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  • id: 270180978
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  • id: 270180979
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  • id: 270180980
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  • id: 270180981
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  • id: 270180982
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  • id: 270180983
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  • id: 270180984
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  • id: 270180985
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  • id: 270180986
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  • id: 270180987
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  • id: 270180988
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  • id: 270180989
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  • id: 270180990
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  • id: 270180991
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  • id: 270180992
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  • id: 270180993
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  • id: 270180994
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  • id: 270180995
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  • id: 270180996
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  • id: 270180997
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  • id: 270180998
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  • id: 270180999
    {'hecke_orbit_code': 157625986991525614, 'n': 1000, 'trace_an': 18}