Embedded newform data - 462.4.a.f.1.1

Formats: - HTML - YAML - JSON - 2024-04-25T13:39:38.542960

• 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': 7392, 'analytic_conductor': 27.258882422652164, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [7, 1], [11, 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': [462, 1, [155, 199, 211], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-1, 1]]], 'hecke_orbit': 6, 'hecke_orbit_code': 22517998203961806, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '462.4.a.f', 'level': 462, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 3, 7, 11], 'level_radical': 462, 'minimal_twist': '462.4.a.f', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{2}-3q^{3}+4q^{4}+q^{5}-6q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '462.4.a', 'trace_display': [2, -3, 1, -7], 'trace_hash': 2005433860964147895, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.005', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.055', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.030', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.143', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.141', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.405', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 2, -3, 4, 1, -6, -7, 8, 9, 2, -11, -12, -43, -14, -3, 16, 100, 18, -87, 4, 21, -22, -58, -24, -124, -86, -27, -28, -223, -6, 88, 32, 33, 200, -7, 36, 37, -174, 129, 8, 128, 42, -458, -44, 9, -116, -341, -48, 49, -248, -300, -172, -342, -54, -11, -56, 261, -446, -105, -12, 190, 176, -63, 64, -43, 66, -579, 400, 174, -14, 128, 72, -161, 74, 372, -348, 77, 258, -396, 16, 81, 256, -420, 84, 100, -916, 669, -88, -798, 18, 301, -232, -264, -682, -87, -96, 1414, 98, -99, -496, -1764, -600, 978, -344, 21, -684, 481, -108, -284, -22, -111, -112, 1498, 522, -58, -892, -387, -210, -700, -24, 121, 380, -384, 352, -249, -126, -616, 128, 1374, -86, 2748, 132, 609, -1158, -27, 800, 2184, 348, 908, -28, 1023, 256, 473, 144, -223, -322, -147, 148, 421, 744, 948, -696, 900, 154, 88, 516, 2368, -792, 1026, 32, 406, 162, -2603, 512, 33, -840, -1402, 168, -348, 200, -783, -1832, 836, 1338, 868, -176, 315, -1596, -3292, 36, 4838, 602, -570, 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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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-0.3604482336522461, -0.3690064195018817, -0.14116198155329793, -0.18048571228824245, -0.15787796687534852, -0.13466130438707702, -0.2998304605674148, -0.24360053856232874, -0.30967758406948875, -0.35885586190085367, -0.41931006169791296, -0.2715294211070288, -0.2237362304528148, -0.3033915527975417, -0.26798822946358414, -0.09385506763160183, -0.36607487753373363, -0.1811554114129083, -0.18180818104523463, -0.22365773471633302, -0.18853941892176088, -0.14497481418835415, -0.07531051354603552, -0.2715133501844955, -0.3157732101875049, -0.24980898977756957, -0.38849298043799585, -0.26861628833188694, -0.22183660387652313, -0.37895414008747935, -0.33237526914589594, -0.2057057361460226, -0.3662110949924405, -0.2671679431065004, -0.21642273518259192, -0.23762481476643946, -0.17880518987515184, -0.4218278913291166], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 6, 'hecke_orbit_code': 22517998203961806, 'label': '462.4.a.f.1.1', 'level': 462, 'weight': 4}
• 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], [11, -1]], 3, 1], [[[2, 1], [3, -1], [7, 1], [11, 1]], 2, 1], [[[2, -1], [3, 1], [7, 1], [11, 1]], 2, 2], [[[2, 1], [3, 1], [7, -1], [11, -1]], 2, 1], [[[2, -1], [3, -1], [7, 1], [11, 1]], 2, 1], [[[2, -1], [3, 1], [7, -1], [11, -1]], 2, 1], [[[2, 1], [3, -1], [7, -1], [11, -1]], 1, 1], [[[2, -1], [3, -1], [7, 1], [11, -1]], 1, 1], [[[2, -1], [3, -1], [7, -1], [11, 1]], 1, 1], [[[2, 1], [3, -1], [7, 1], [11, -1]], 3, 1], [[[2, -1], [3, 1], [7, -1], [11, 1]], 1, 1], [[[2, 1], [3, 1], [7, 1], [11, 1]], 2, 1], [[[2, 1], [3, 1], [7, -1], [11, 1]], 3, 2], [[[2, -1], [3, 1], [7, 1], [11, -1]], 2, 1], [[[2, 1], [3, 1], [7, 1], [11, -1]], 2, 2], [[[2, 1], [3, -1], [7, -1], [11, 1]], 3, 1]], 'ALdims': [2, 2, 3, 2, 2, 3, 3, 1, 2, 2, 1, 2, 2, 1, 1, 3], 'Nk2': 7392, 'analytic_conductor': 27.258882422652164, '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': [462, 1, [155, 199, 211], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 280, 'dim': 32, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 67109326, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3], 'label': '462.4.a', 'level': 462, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 3, 7, 11], 'level_radical': 462, 'mf_dim': 296, 'mf_new_dim': 32, 'num_forms': 19, 'plus_dim': 18, 'prim_orbit_index': 1, 'relative_dim': 32, 'sturm_bound': 384, 'trace_bound': 5, 'trace_display': [-8, 0, -40, 0], 'traces': [32, -8, 0, 128, -40, 0, 0, -32, 288, -80, 0, 0, -104, 0, 0, 512, 120, -72, 160, -160, 0, 88, 472, 0, 1056, 224, 0, 0, -280, 0, -40, -128, 0, -304, -224, 1152, -704, 336, 0, -320, 344, 168, 248, 0, -360, 400, -1256, 0, 1568, -1400, 120, -416, -1624, 0, 0, 0, 0, -736, 976, 0, -472, 128, 0, 2048, -1424, 0, 1824, 480, 960, 560, 856, -288, 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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: 45050015
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998203961806, 'source_is_minimal': True, 'source_label': '462.4.a.f.1.1', 'source_level': 462, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998203961806, 'target_is_minimal': True, 'target_label': '462.4.a.f.1.1', 'target_level': 462, 'twist_class_label': '462.4.a.f.1.1', 'twist_class_level': 462, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 45050016
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 22517998203961806, 'source_is_minimal': True, 'source_label': '462.4.a.f.1.1', 'source_level': 462, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949221738, 'target_is_minimal': False, 'target_label': '1386.4.a.d.1.1', 'target_level': 1386, 'twist_class_label': '462.4.a.f.1.1', 'twist_class_level': 462, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 925225
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 2}
  • id: 925226
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 3}
  • id: 925227
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 5}
  • id: 925228
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 7}
  • id: 925229
    {'charpoly_factorization': [[[11, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 11}
  • id: 925230
    {'charpoly_factorization': [[[43, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 13}
  • id: 925231
    {'charpoly_factorization': [[[-100, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 17}
  • id: 925232
    {'charpoly_factorization': [[[87, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 19}
  • id: 925233
    {'charpoly_factorization': [[[58, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 23}
  • id: 925234
    {'charpoly_factorization': [[[223, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 29}
  • id: 925235
    {'charpoly_factorization': [[[-88, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 31}
  • id: 925236
    {'charpoly_factorization': [[[-37, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 37}
  • id: 925237
    {'charpoly_factorization': [[[-128, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 41}
  • id: 925238
    {'charpoly_factorization': [[[458, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 43}
  • id: 925239
    {'charpoly_factorization': [[[341, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 47}
  • id: 925240
    {'charpoly_factorization': [[[342, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 53}
  • id: 925241
    {'charpoly_factorization': [[[105, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 59}
  • id: 925242
    {'charpoly_factorization': [[[-190, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 61}
  • id: 925243
    {'charpoly_factorization': [[[579, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 67}
  • id: 925244
    {'charpoly_factorization': [[[-128, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 71}
  • id: 925245
    {'charpoly_factorization': [[[161, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 73}
  • id: 925246
    {'charpoly_factorization': [[[396, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 79}
  • id: 925247
    {'charpoly_factorization': [[[420, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 83}
  • id: 925248
    {'charpoly_factorization': [[[798, 1], 1]], 'hecke_orbit_code': 22517998203961806, 'p': 89}
  • id: 925249
    {'charpoly_factorization': [[[-1414, 1], 1]], 'hecke_orbit_code': 22517998203961806, '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': 6, 'label': '462.4.a.f', 'level': 462, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 168420000
    {'hecke_orbit_code': 22517998203961806, 'n': 1, 'trace_an': 1}
  • id: 168420001
    {'hecke_orbit_code': 22517998203961806, 'n': 2, 'trace_an': 2}
  • id: 168420002
    {'hecke_orbit_code': 22517998203961806, 'n': 3, 'trace_an': -3}
  • id: 168420003
    {'hecke_orbit_code': 22517998203961806, 'n': 4, 'trace_an': 4}
  • id: 168420004
    {'hecke_orbit_code': 22517998203961806, 'n': 5, 'trace_an': 1}
  • id: 168420005
    {'hecke_orbit_code': 22517998203961806, 'n': 6, 'trace_an': -6}
  • id: 168420006
    {'hecke_orbit_code': 22517998203961806, 'n': 7, 'trace_an': -7}
  • id: 168420007
    {'hecke_orbit_code': 22517998203961806, 'n': 8, 'trace_an': 8}
  • id: 168420008
    {'hecke_orbit_code': 22517998203961806, 'n': 9, 'trace_an': 9}
  • id: 168420009
    {'hecke_orbit_code': 22517998203961806, 'n': 10, 'trace_an': 2}
  • id: 168420010
    {'hecke_orbit_code': 22517998203961806, 'n': 11, 'trace_an': -11}
  • id: 168420011
    {'hecke_orbit_code': 22517998203961806, 'n': 12, 'trace_an': -12}
  • id: 168420012
    {'hecke_orbit_code': 22517998203961806, 'n': 13, 'trace_an': -43}
  • id: 168420013
    {'hecke_orbit_code': 22517998203961806, 'n': 14, 'trace_an': -14}
  • id: 168420014
    {'hecke_orbit_code': 22517998203961806, 'n': 15, 'trace_an': -3}
  • id: 168420015
    {'hecke_orbit_code': 22517998203961806, 'n': 16, 'trace_an': 16}
  • id: 168420016
    {'hecke_orbit_code': 22517998203961806, 'n': 17, 'trace_an': 100}
  • id: 168420017
    {'hecke_orbit_code': 22517998203961806, 'n': 18, 'trace_an': 18}
  • id: 168420018
    {'hecke_orbit_code': 22517998203961806, 'n': 19, 'trace_an': -87}
  • id: 168420019
    {'hecke_orbit_code': 22517998203961806, 'n': 20, 'trace_an': 4}
  • id: 168420020
    {'hecke_orbit_code': 22517998203961806, 'n': 21, 'trace_an': 21}
  • id: 168420021
    {'hecke_orbit_code': 22517998203961806, 'n': 22, 'trace_an': -22}
  • id: 168420022
    {'hecke_orbit_code': 22517998203961806, 'n': 23, 'trace_an': -58}
  • id: 168420023
    {'hecke_orbit_code': 22517998203961806, 'n': 24, 'trace_an': -24}
  • id: 168420024
    {'hecke_orbit_code': 22517998203961806, 'n': 25, 'trace_an': -124}
  • id: 168420025
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  • id: 168420026
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  • id: 168420027
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  • id: 168420028
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  • id: 168420029
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  • id: 168420030
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  • id: 168420031
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  • id: 168420032
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  • id: 168420033
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  • id: 168420034
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  • id: 168420035
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  • id: 168420036
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  • id: 168420037
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  • id: 168420038
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  • id: 168420039
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  • id: 168420040
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  • id: 168420041
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  • id: 168420042
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  • id: 168420043
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  • id: 168420044
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  • id: 168420045
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  • id: 168420046
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  • id: 168420047
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  • id: 168420048
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  • id: 168420049
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  • id: 168420050
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  • id: 168420051
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  • id: 168420052
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  • id: 168420053
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  • id: 168420054
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  • id: 168420055
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  • id: 168420056
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  • id: 168420057
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  • id: 168420058
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  • id: 168420059
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  • id: 168420060
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  • id: 168420061
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  • id: 168420062
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  • id: 168420063
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  • id: 168420064
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  • id: 168420065
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  • id: 168420066
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  • id: 168420067
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  • id: 168420068
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  • id: 168420069
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  • id: 168420070
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  • id: 168420071
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  • id: 168420072
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  • id: 168420073
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  • id: 168420074
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  • id: 168420075
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  • id: 168420076
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  • id: 168420077
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  • id: 168420078
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  • id: 168420079
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  • id: 168420080
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  • id: 168420081
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  • id: 168420082
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  • id: 168420083
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  • id: 168420084
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  • id: 168420085
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  • id: 168420086
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  • id: 168420087
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  • id: 168420088
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  • id: 168420089
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  • id: 168420090
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  • id: 168420091
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  • id: 168420092
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  • id: 168420093
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  • id: 168420094
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  • id: 168420095
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  • id: 168420096
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  • id: 168420097
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  • id: 168420098
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  • id: 168420099
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  • id: 168420100
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  • id: 168420101
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  • id: 168420102
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  • id: 168420103
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  • id: 168420104
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  • id: 168420105
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  • id: 168420106
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  • id: 168420107
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  • id: 168420108
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  • id: 168420109
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  • id: 168420110
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  • id: 168420111
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  • id: 168420112
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  • id: 168420113
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  • id: 168420114
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  • id: 168420115
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  • id: 168420116
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  • id: 168420117
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  • id: 168420118
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  • id: 168420119
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  • id: 168420120
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  • id: 168420121
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  • id: 168420122
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  • id: 168420123
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  • id: 168420124
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  • id: 168420125
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  • id: 168420126
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  • id: 168420127
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  • id: 168420128
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  • id: 168420129
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  • id: 168420130
    {'hecke_orbit_code': 22517998203961806, 'n': 131, 'trace_an': 2748}
  • id: 168420131
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  • id: 168420132
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  • id: 168420133
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  • id: 168420134
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  • id: 168420135
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  • id: 168420136
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  • id: 168420137
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  • id: 168420138
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  • id: 168420139
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  • id: 168420140
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  • id: 168420141
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  • id: 168420142
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  • id: 168420143
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  • id: 168420144
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  • id: 168420145
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  • id: 168420146
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  • id: 168420147
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  • id: 168420148
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  • id: 168420149
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  • id: 168420150
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  • id: 168420151
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  • id: 168420152
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  • id: 168420153
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  • id: 168420154
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  • id: 168420155
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  • id: 168420156
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  • id: 168420157
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  • id: 168420158
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  • id: 168420159
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  • id: 168420160
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  • id: 168420161
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  • id: 168420162
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  • id: 168420163
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  • id: 168420164
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  • id: 168420165
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  • id: 168420166
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  • id: 168420167
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  • id: 168420168
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  • id: 168420169
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  • id: 168420170
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  • id: 168420171
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  • id: 168420172
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  • id: 168420173
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  • id: 168420174
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  • id: 168420175
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  • id: 168420176
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  • id: 168420177
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  • id: 168420178
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  • id: 168420179
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  • id: 168420180
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  • id: 168420181
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  • id: 168420182
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  • id: 168420183
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  • id: 168420184
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  • id: 168420185
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  • id: 168420186
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  • id: 168420187
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  • id: 168420188
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  • id: 168420189
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  • id: 168420190
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  • id: 168420191
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  • id: 168420192
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  • id: 168420193
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  • id: 168420194
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  • id: 168420195
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  • id: 168420196
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  • id: 168420197
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  • id: 168420198
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  • id: 168420199
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  • id: 168420200
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  • id: 168420201
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  • id: 168420202
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  • id: 168420203
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  • id: 168420204
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  • id: 168420205
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  • id: 168420206
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  • id: 168420207
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  • id: 168420208
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  • id: 168420209
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  • id: 168420210
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  • id: 168420211
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  • id: 168420212
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  • id: 168420213
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  • id: 168420214
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  • id: 168420215
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  • id: 168420216
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  • id: 168420217
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  • id: 168420218
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  • id: 168420219
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  • id: 168420220
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  • id: 168420221
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  • id: 168420222
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  • id: 168420223
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  • id: 168420224
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  • id: 168420225
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  • id: 168420226
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  • id: 168420227
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  • id: 168420228
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  • id: 168420229
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  • id: 168420230
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  • id: 168420231
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  • id: 168420232
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  • id: 168420233
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  • id: 168420234
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  • id: 168420235
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  • id: 168420236
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  • id: 168420237
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  • id: 168420238
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  • id: 168420239
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  • id: 168420240
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  • id: 168420241
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  • id: 168420242
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  • id: 168420243
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  • id: 168420244
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  • id: 168420245
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  • id: 168420246
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  • id: 168420247
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  • id: 168420248
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  • id: 168420249
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  • id: 168420250
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  • id: 168420251
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  • id: 168420252
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  • id: 168420253
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  • id: 168420254
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  • id: 168420255
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  • id: 168420256
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  • id: 168420257
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  • id: 168420258
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  • id: 168420259
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  • id: 168420260
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  • id: 168420261
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  • id: 168420262
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  • id: 168420263
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  • id: 168420264
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  • id: 168420265
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  • id: 168420266
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  • id: 168420267
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  • id: 168420268
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  • id: 168420269
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  • id: 168420270
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  • id: 168420271
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  • id: 168420272
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  • id: 168420273
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  • id: 168420274
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  • id: 168420275
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  • id: 168420276
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  • id: 168420277
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  • id: 168420278
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  • id: 168420279
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  • id: 168420280
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  • id: 168420281
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  • id: 168420282
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  • id: 168420283
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  • id: 168420284
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  • id: 168420285
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  • id: 168420286
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  • id: 168420287
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  • id: 168420288
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  • id: 168420289
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  • id: 168420290
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  • id: 168420291
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  • id: 168420292
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  • id: 168420293
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  • id: 168420294
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  • id: 168420295
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  • id: 168420296
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  • id: 168420297
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  • id: 168420298
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  • id: 168420299
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  • id: 168420300
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  • id: 168420301
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  • id: 168420302
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  • id: 168420303
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  • id: 168420304
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  • id: 168420305
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  • id: 168420306
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  • id: 168420307
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  • id: 168420308
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  • id: 168420309
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  • id: 168420310
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  • id: 168420311
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  • id: 168420312
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  • id: 168420313
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  • id: 168420314
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  • id: 168420315
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  • id: 168420316
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  • id: 168420317
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  • id: 168420318
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  • id: 168420319
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  • id: 168420320
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  • id: 168420321
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  • id: 168420322
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  • id: 168420323
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  • id: 168420324
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  • id: 168420325
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  • id: 168420326
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  • id: 168420327
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  • id: 168420328
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  • id: 168420329
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  • id: 168420330
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  • id: 168420331
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  • id: 168420332
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  • id: 168420333
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  • id: 168420334
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  • id: 168420335
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  • id: 168420336
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  • id: 168420337
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  • id: 168420338
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  • id: 168420339
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  • id: 168420340
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  • id: 168420341
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  • id: 168420342
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  • id: 168420343
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  • id: 168420344
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  • id: 168420345
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  • id: 168420346
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  • id: 168420347
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  • id: 168420348
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  • id: 168420349
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  • id: 168420350
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  • id: 168420351
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  • id: 168420352
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  • id: 168420353
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  • id: 168420354
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  • id: 168420355
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  • id: 168420356
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  • id: 168420357
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  • id: 168420358
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  • id: 168420359
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  • id: 168420360
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  • id: 168420361
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  • id: 168420362
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  • id: 168420363
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  • id: 168420364
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  • id: 168420365
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  • id: 168420366
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  • id: 168420367
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  • id: 168420368
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  • id: 168420369
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  • id: 168420370
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  • id: 168420371
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  • id: 168420372
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  • id: 168420373
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  • id: 168420374
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  • id: 168420375
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  • id: 168420376
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  • id: 168420377
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  • id: 168420378
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  • id: 168420379
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  • id: 168420380
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  • id: 168420381
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  • id: 168420382
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  • id: 168420383
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  • id: 168420384
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  • id: 168420385
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  • id: 168420386
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  • id: 168420387
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  • id: 168420388
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  • id: 168420389
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  • id: 168420390
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  • id: 168420391
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  • id: 168420392
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  • id: 168420393
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  • id: 168420394
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  • id: 168420395
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  • id: 168420396
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  • id: 168420397
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  • id: 168420398
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  • id: 168420399
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  • id: 168420400
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  • id: 168420401
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  • id: 168420402
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  • id: 168420403
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  • id: 168420404
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  • id: 168420405
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  • id: 168420406
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  • id: 168420407
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  • id: 168420408
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  • id: 168420409
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  • id: 168420410
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  • id: 168420411
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  • id: 168420412
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  • id: 168420413
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  • id: 168420414
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  • id: 168420415
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  • id: 168420416
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  • id: 168420417
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  • id: 168420418
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  • id: 168420419
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  • id: 168420420
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  • id: 168420421
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  • id: 168420422
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  • id: 168420423
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  • id: 168420424
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  • id: 168420425
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  • id: 168420426
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  • id: 168420427
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  • id: 168420428
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  • id: 168420429
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  • id: 168420430
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  • id: 168420431
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  • id: 168420432
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  • id: 168420433
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  • id: 168420434
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  • id: 168420435
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  • id: 168420436
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  • id: 168420437
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  • id: 168420438
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  • id: 168420439
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  • id: 168420440
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  • id: 168420441
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  • id: 168420442
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  • id: 168420443
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  • id: 168420444
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  • id: 168420445
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  • id: 168420446
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  • id: 168420447
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  • id: 168420448
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  • id: 168420449
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  • id: 168420450
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  • id: 168420451
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  • id: 168420452
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  • id: 168420453
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  • id: 168420454
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  • id: 168420455
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  • id: 168420456
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  • id: 168420457
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  • id: 168420458
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  • id: 168420459
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  • id: 168420460
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  • id: 168420461
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  • id: 168420462
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  • id: 168420463
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  • id: 168420464
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  • id: 168420465
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  • id: 168420466
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  • id: 168420467
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  • id: 168420468
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  • id: 168420469
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  • id: 168420470
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  • id: 168420471
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  • id: 168420472
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  • id: 168420473
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  • id: 168420474
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  • id: 168420475
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  • id: 168420476
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  • id: 168420477
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  • id: 168420478
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  • id: 168420479
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  • id: 168420480
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  • id: 168420481
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  • id: 168420482
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  • id: 168420483
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  • id: 168420484
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  • id: 168420485
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  • id: 168420486
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  • id: 168420487
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  • id: 168420488
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  • id: 168420489
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  • id: 168420490
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  • id: 168420491
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  • id: 168420492
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  • id: 168420493
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  • id: 168420494
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  • id: 168420495
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  • id: 168420496
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  • id: 168420497
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  • id: 168420498
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  • id: 168420499
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  • id: 168420500
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  • id: 168420501
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  • id: 168420502
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  • id: 168420503
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  • id: 168420504
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  • id: 168420505
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  • id: 168420506
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  • id: 168420507
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  • id: 168420508
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  • id: 168420509
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  • id: 168420510
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  • id: 168420511
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  • id: 168420512
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  • id: 168420513
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  • id: 168420514
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  • id: 168420515
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  • id: 168420516
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  • id: 168420517
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  • id: 168420518
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  • id: 168420519
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  • id: 168420520
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  • id: 168420521
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  • id: 168420522
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  • id: 168420523
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  • id: 168420524
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  • id: 168420525
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  • id: 168420526
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  • id: 168420527
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  • id: 168420528
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  • id: 168420529
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  • id: 168420530
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  • id: 168420531
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  • id: 168420532
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  • id: 168420533
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  • id: 168420534
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  • id: 168420535
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  • id: 168420536
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  • id: 168420537
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  • id: 168420538
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  • id: 168420539
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  • id: 168420540
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  • id: 168420541
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  • id: 168420542
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  • id: 168420543
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  • id: 168420544
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  • id: 168420545
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  • id: 168420546
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  • id: 168420547
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  • id: 168420548
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  • id: 168420549
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  • id: 168420550
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  • id: 168420551
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  • id: 168420552
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  • id: 168420553
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  • id: 168420554
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  • id: 168420555
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  • id: 168420556
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  • id: 168420557
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  • id: 168420558
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  • id: 168420559
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  • id: 168420560
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  • id: 168420561
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  • id: 168420562
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  • id: 168420563
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  • id: 168420564
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  • id: 168420565
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  • id: 168420566
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  • id: 168420567
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  • id: 168420568
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  • id: 168420569
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  • id: 168420570
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  • id: 168420571
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  • id: 168420572
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  • id: 168420573
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  • id: 168420574
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  • id: 168420575
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  • id: 168420576
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  • id: 168420577
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  • id: 168420578
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  • id: 168420579
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  • id: 168420580
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  • id: 168420581
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  • id: 168420582
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  • id: 168420583
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  • id: 168420584
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  • id: 168420585
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  • id: 168420586
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  • id: 168420587
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  • id: 168420588
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  • id: 168420589
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  • id: 168420590
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  • id: 168420591
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  • id: 168420592
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  • id: 168420593
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  • id: 168420594
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  • id: 168420595
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  • id: 168420596
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  • id: 168420597
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  • id: 168420598
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  • id: 168420599
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  • id: 168420600
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  • id: 168420601
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  • id: 168420602
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  • id: 168420603
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  • id: 168420604
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  • id: 168420605
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  • id: 168420701
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  • id: 168420705
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  • id: 168420711
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  • id: 168420794
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  • id: 168420799
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  • id: 168420800
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  • id: 168420801
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  • id: 168420804
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  • id: 168420806
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  • id: 168420807
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  • id: 168420808
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  • id: 168420810
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  • id: 168420813
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  • id: 168420815
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  • id: 168420816
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  • id: 168420817
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  • id: 168420818
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  • id: 168420819
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  • id: 168420820
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  • id: 168420821
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  • id: 168420822
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  • id: 168420823
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  • id: 168420824
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  • id: 168420825
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  • id: 168420826
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  • id: 168420827
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  • id: 168420830
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  • id: 168420831
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  • id: 168420832
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  • id: 168420833
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  • id: 168420834
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  • id: 168420835
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  • id: 168420836
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  • id: 168420837
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  • id: 168420838
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  • id: 168420839
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  • id: 168420840
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  • id: 168420841
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  • id: 168420844
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  • id: 168420845
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  • id: 168420847
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  • id: 168420850
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  • id: 168420853
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  • id: 168420855
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  • id: 168420856
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  • id: 168420857
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  • id: 168420858
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  • id: 168420861
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  • id: 168420862
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  • id: 168420863
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  • id: 168420864
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  • id: 168420865
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  • id: 168420867
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  • id: 168420868
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  • id: 168420870
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  • id: 168420871
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  • id: 168420872
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  • id: 168420873
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  • id: 168420874
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  • id: 168420875
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  • id: 168420876
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  • id: 168420877
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  • id: 168420878
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  • id: 168420880
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  • id: 168420881
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  • id: 168420882
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  • id: 168420883
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  • id: 168420884
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  • id: 168420885
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  • id: 168420886
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  • id: 168420887
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  • id: 168420888
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  • id: 168420889
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  • id: 168420890
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  • id: 168420891
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  • id: 168420892
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  • id: 168420893
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  • id: 168420894
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  • id: 168420895
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  • id: 168420896
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  • id: 168420897
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  • id: 168420898
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  • id: 168420899
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  • id: 168420900
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  • id: 168420901
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  • id: 168420902
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  • id: 168420903
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  • id: 168420904
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  • id: 168420905
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  • id: 168420906
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  • id: 168420907
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  • id: 168420908
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  • id: 168420909
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  • id: 168420910
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  • id: 168420911
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  • id: 168420912
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  • id: 168420913
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  • id: 168420914
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  • id: 168420915
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  • id: 168420916
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  • id: 168420917
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  • id: 168420918
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  • id: 168420919
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  • id: 168420920
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  • id: 168420921
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  • id: 168420922
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  • id: 168420923
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  • id: 168420924
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  • id: 168420925
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  • id: 168420926
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  • id: 168420927
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  • id: 168420928
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  • id: 168420931
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  • id: 168420932
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  • id: 168420933
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  • id: 168420934
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  • id: 168420936
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  • id: 168420937
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  • id: 168420939
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  • id: 168420940
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  • id: 168420981
    {'hecke_orbit_code': 22517998203961806, 'n': 982, 'trace_an': 5250}
  • id: 168420982
    {'hecke_orbit_code': 22517998203961806, 'n': 983, 'trace_an': 4788}
  • id: 168420983
    {'hecke_orbit_code': 22517998203961806, 'n': 984, 'trace_an': -3072}
  • id: 168420984
    {'hecke_orbit_code': 22517998203961806, 'n': 985, 'trace_an': 318}
  • id: 168420985
    {'hecke_orbit_code': 22517998203961806, 'n': 986, 'trace_an': -44600}
  • id: 168420986
    {'hecke_orbit_code': 22517998203961806, 'n': 987, 'trace_an': -7161}
  • id: 168420987
    {'hecke_orbit_code': 22517998203961806, 'n': 988, 'trace_an': 14964}
  • id: 168420988
    {'hecke_orbit_code': 22517998203961806, 'n': 989, 'trace_an': 26564}
  • id: 168420989
    {'hecke_orbit_code': 22517998203961806, 'n': 990, 'trace_an': -198}
  • id: 168420990
    {'hecke_orbit_code': 22517998203961806, 'n': 991, 'trace_an': 26989}
  • id: 168420991
    {'hecke_orbit_code': 22517998203961806, 'n': 992, 'trace_an': 2816}
  • id: 168420992
    {'hecke_orbit_code': 22517998203961806, 'n': 993, 'trace_an': -13980}
  • id: 168420993
    {'hecke_orbit_code': 22517998203961806, 'n': 994, 'trace_an': -1792}
  • id: 168420994
    {'hecke_orbit_code': 22517998203961806, 'n': 995, 'trace_an': -806}
  • id: 168420995
    {'hecke_orbit_code': 22517998203961806, 'n': 996, 'trace_an': 5040}
  • id: 168420996
    {'hecke_orbit_code': 22517998203961806, 'n': 997, 'trace_an': -55518}
  • id: 168420997
    {'hecke_orbit_code': 22517998203961806, 'n': 998, 'trace_an': -24794}
  • id: 168420998
    {'hecke_orbit_code': 22517998203961806, 'n': 999, 'trace_an': -999}
  • id: 168420999
    {'hecke_orbit_code': 22517998203961806, 'n': 1000, 'trace_an': -1992}