Embedded newform data - 1521.4.a.p.1.1

Formats: - HTML - YAML - JSON - 2023-04-01T19:21:33.459624

• 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_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': 24336, 'analytic_conductor': 89.74190511873148, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 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': [1521, 1, [677, 847], [1, 1]], 'cm_discs': [], 'conrey_indexes': [1], 'dim': 2, 'field_disc': 28, 'field_disc_factorization': [[2, 2], [7, 1]], 'field_poly': [-7, 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': 1, 'hecke_cutters': [[2, [-7, 0, 1]], [5, [-112, 0, 1]], [7, [-22, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994477667825, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1521.4.a.p', 'level': 1521, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 13], 'level_radical': 39, 'minimal_twist': '117.4.a.e', 'nf_label': '2.2.28.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta q^{2}-q^{4}-4\\beta q^{5}+22q^{7}-9\\beta q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1521.4.a', 'trace_display': [0, 0, 0, 44], 'trace_hash': 1359958107317930227, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.036', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.881', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.347', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.797', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3.418', 'prec': 17}, {'__RealLiteral__': 0, 'data': '143.950', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [2, 0, 0, -2, 0, 0, 44, 0, 0, -56, 0, 0, 0, 0, 0, -110, 0, 0, 252, 0, 0, -28, 0, 0, -26, 0, 0, -44, 0, 0, 364, 0, 0, -616, 0, 0, 172, 0, 0, 504, 0, 0, 192, 0, 0, -168, 0, 0, 282, 0, 0, 0, 0, 0, 112, 0, 0, -280, 0, 0, 1148, 0, 0, 1118, 0, 0, 1060, 0, 0, -1232, 0, 0, 308, 0, 0, -252, 0, 0, -920, 0, 0, -2352, 0, 0, 2464, 0, 0, 252, 0, 0, 0, 0, 0, 1932, 0, 0, -140, 0, 0, 26, 0, 0, -2856, 0, 0, 1008, 0, 0, 676, 0, 0, -2420, 0, 0, 672, 0, 0, -3108, 0, 0, -2606, 0, 0, -364, 0, 0, -752, 0, 0, 0, 0, 0, 5544, 0, 0, 5544, 0, 0, 4200, 0, 0, 4284, 0, 0, 1120, 0, 0, -172, 0, 0, -7052, 0, 0, -616, 0, 0, 6132, 0, 0, -952, 0, 0, 6884, 0, 0, -1708, 0, 0, 0, 0, 0, -192, 0, 0, -572, 0, 0, 7616, 0, 0, 6748, 0, 0, 1512, 0, 0, 1232, 0, 0, -7056, 0, 0, 3084, 0, 0, -282, 0, 0, -1904, 0, 0, 7728, 0, 0, 9408, 0, 0, 0, 0, 0, -3280, 0, 0, 8568, 0, 0, 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0, 0, -57680, 0, 0, 0, 0, 0, 813120, 0, 0, -71064, 0, 0, 624536, 0, 0, 40404, 0, 0, 209468, 0, 0, -31244, 0, 0, 3472, 0, 0, -313656, 0, 0, -381248, 0, 0, -199584, 0, 0, 168644, 0, 0, 444780, 0, 0, 0, 0, 0, -42336, 0, 0, 772632, 0, 0, 217112, 0, 0, 161868, 0, 0, -67760, 0, 0, 257824, 0, 0, -162736, 0, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.09428731252664584, -0.2245879997309398, -0.29352006226708727, -0.29163367880175256, -0.29455593754135456, -0.17321026783586238, -0.29594509982043316, -0.07826732354477282, -0.3149702186506701, -0.09242097025557774, -0.19236254654666401, -0.14339123032165452], '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': -2.6457513110645907, 'hecke_orbit': 16, 'hecke_orbit_code': 67553994477667825, 'label': '1521.4.a.p.1.1', 'level': 1521, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_indexes	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': [[[[3, -1], [13, -1]], 57, 12], [[[3, -1], [13, 1]], 54, 18], [[[3, 1], [13, -1]], 36, 4], [[[3, 1], [13, 1]], 41, 6]], 'Nk2': 24336, 'analytic_conductor': 89.74190511873148, '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': [1521, 1, [677, 847], [1, 1]], 'conrey_indexes': [1], 'cusp_dim': 518, 'dim': 188, 'eis_dim': 56, 'eis_new_dim': 11, 'hecke_cutter_primes': [2, 5, 7], 'hecke_orbit_code': 67110385, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 4, 4, 4, 4, 4, 4, 4, 8, 8, 9, 9, 9, 9, 9, 9, 10, 12, 18, 18], 'label': '1521.4.a', 'level': 1521, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 13], 'level_radical': 39, 'mf_dim': 574, 'mf_new_dim': 199, 'num_forms': 40, 'plus_dim': 98, 'prim_orbit_index': 1, 'relative_dim': 188, 'sturm_bound': 728, 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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: 47946812
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477667825, 'source_is_minimal': False, 'source_label': '1521.4.a.p.1.1', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994477667825, 'target_is_minimal': False, 'target_label': '1521.4.a.p.1.1', 'target_level': 1521, 'twist_class_label': '117.4.a.e.1.1', 'twist_class_level': 117, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47946813
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477667825, 'source_is_minimal': False, 'source_label': '1521.4.a.p.1.1', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994477667825, 'target_is_minimal': False, 'target_label': '1521.4.a.p.1.2', 'target_level': 1521, 'twist_class_label': '117.4.a.e.1.1', 'twist_class_level': 117, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47946814
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477667825, 'source_is_minimal': False, 'source_label': '1521.4.a.p.1.1', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014398576590965, 'target_is_minimal': True, 'target_label': '117.4.a.e.1.2', 'target_level': 117, 'twist_class_label': '117.4.a.e.1.1', 'twist_class_level': 117, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 4}
  • id: 47946815
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477667825, 'source_is_minimal': False, 'source_label': '1521.4.a.p.1.1', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576590965, 'target_is_minimal': True, 'target_label': '117.4.a.e.1.1', 'target_level': 117, 'twist_class_label': '117.4.a.e.1.1', 'twist_class_level': 117, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 4}
  • id: 47946816
    {'conductor': 52, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477667825, 'source_is_minimal': False, 'source_label': '1521.4.a.p.1.1', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 117093590378743632, 'target_is_minimal': False, 'target_label': '1872.4.a.ba.1.1', 'target_level': 1872, 'twist_class_label': '117.4.a.e.1.1', 'twist_class_level': 117, 'twisting_char_label': '52.51', 'twisting_conrey_index': 51, 'weight': 4}
  • id: 47946817
    {'conductor': 156, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477667825, 'source_is_minimal': False, 'source_label': '1521.4.a.p.1.1', 'source_level': 1521, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117093590378743632, 'target_is_minimal': False, 'target_label': '1872.4.a.ba.1.2', 'target_level': 1872, 'twist_class_label': '117.4.a.e.1.1', 'twist_class_level': 117, 'twisting_char_label': '156.155', 'twisting_conrey_index': 155, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1995125
    {'charpoly_factorization': [[[-7, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 2}
  • id: 1995126
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 3}
  • id: 1995127
    {'charpoly_factorization': [[[-112, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 5}
  • id: 1995128
    {'charpoly_factorization': [[[-22, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 7}
  • id: 1995129
    {'charpoly_factorization': [[[-28, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 11}
  • id: 1995130
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 13}
  • id: 1995131
    {'charpoly_factorization': [[[-13552, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 17}
  • id: 1995132
    {'charpoly_factorization': [[[-126, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 19}
  • id: 1995133
    {'charpoly_factorization': [[[-1008, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 23}
  • id: 1995134
    {'charpoly_factorization': [[[-2800, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 29}
  • id: 1995135
    {'charpoly_factorization': [[[-182, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 31}
  • id: 1995136
    {'charpoly_factorization': [[[-86, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 37}
  • id: 1995137
    {'charpoly_factorization': [[[-197568, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 41}
  • id: 1995138
    {'charpoly_factorization': [[[-96, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 43}
  • id: 1995139
    {'charpoly_factorization': [[[-133308, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 47}
  • id: 1995140
    {'charpoly_factorization': [[[-36288, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 53}
  • id: 1995141
    {'charpoly_factorization': [[[-344988, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 59}
  • id: 1995142
    {'charpoly_factorization': [[[-574, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 61}
  • id: 1995143
    {'charpoly_factorization': [[[-530, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 67}
  • id: 1995144
    {'charpoly_factorization': [[[-655452, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 71}
  • id: 1995145
    {'charpoly_factorization': [[[-154, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 73}
  • id: 1995146
    {'charpoly_factorization': [[[460, 1], 2]], 'hecke_orbit_code': 67553994477667825, 'p': 79}
  • id: 1995147
    {'charpoly_factorization': [[[-104188, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 83}
  • id: 1995148
    {'charpoly_factorization': [[[-2071552, 0, 1], 1]], 'hecke_orbit_code': 67553994477667825, 'p': 89}
  • id: 1995149
    {'charpoly_factorization': [[[70, 1], 2]], 'hecke_orbit_code': 67553994477667825, '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': 16, 'label': '1521.4.a.p', 'level': 1521, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 236686000
    {'hecke_orbit_code': 67553994477667825, 'n': 1, 'trace_an': 2}
  • id: 236686001
    {'hecke_orbit_code': 67553994477667825, 'n': 2, 'trace_an': 0}
  • id: 236686002
    {'hecke_orbit_code': 67553994477667825, 'n': 3, 'trace_an': 0}
  • id: 236686003
    {'hecke_orbit_code': 67553994477667825, 'n': 4, 'trace_an': -2}
  • id: 236686004
    {'hecke_orbit_code': 67553994477667825, 'n': 5, 'trace_an': 0}
  • id: 236686005
    {'hecke_orbit_code': 67553994477667825, 'n': 6, 'trace_an': 0}
  • id: 236686006
    {'hecke_orbit_code': 67553994477667825, 'n': 7, 'trace_an': 44}
  • id: 236686007
    {'hecke_orbit_code': 67553994477667825, 'n': 8, 'trace_an': 0}
  • id: 236686008
    {'hecke_orbit_code': 67553994477667825, 'n': 9, 'trace_an': 0}
  • id: 236686009
    {'hecke_orbit_code': 67553994477667825, 'n': 10, 'trace_an': -56}
  • id: 236686010
    {'hecke_orbit_code': 67553994477667825, 'n': 11, 'trace_an': 0}
  • id: 236686011
    {'hecke_orbit_code': 67553994477667825, 'n': 12, 'trace_an': 0}
  • id: 236686012
    {'hecke_orbit_code': 67553994477667825, 'n': 13, 'trace_an': 0}
  • id: 236686013
    {'hecke_orbit_code': 67553994477667825, 'n': 14, 'trace_an': 0}
  • id: 236686014
    {'hecke_orbit_code': 67553994477667825, 'n': 15, 'trace_an': 0}
  • id: 236686015
    {'hecke_orbit_code': 67553994477667825, 'n': 16, 'trace_an': -110}
  • id: 236686016
    {'hecke_orbit_code': 67553994477667825, 'n': 17, 'trace_an': 0}
  • id: 236686017
    {'hecke_orbit_code': 67553994477667825, 'n': 18, 'trace_an': 0}
  • id: 236686018
    {'hecke_orbit_code': 67553994477667825, 'n': 19, 'trace_an': 252}
  • id: 236686019
    {'hecke_orbit_code': 67553994477667825, 'n': 20, 'trace_an': 0}
  • id: 236686020
    {'hecke_orbit_code': 67553994477667825, 'n': 21, 'trace_an': 0}
  • id: 236686021
    {'hecke_orbit_code': 67553994477667825, 'n': 22, 'trace_an': -28}
  • id: 236686022
    {'hecke_orbit_code': 67553994477667825, 'n': 23, 'trace_an': 0}
  • id: 236686023
    {'hecke_orbit_code': 67553994477667825, 'n': 24, 'trace_an': 0}
  • id: 236686024
    {'hecke_orbit_code': 67553994477667825, 'n': 25, 'trace_an': -26}
  • id: 236686025
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  • id: 236686026
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  • id: 236686027
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  • id: 236686028
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  • id: 236686029
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  • id: 236686030
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  • id: 236686031
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  • id: 236686032
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  • id: 236686033
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  • id: 236686034
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  • id: 236686035
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  • id: 236686036
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  • id: 236686037
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  • id: 236686038
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  • id: 236686039
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  • id: 236686040
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  • id: 236686041
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  • id: 236686042
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  • id: 236686043
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  • id: 236686044
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  • id: 236686045
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  • id: 236686046
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  • id: 236686047
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  • id: 236686048
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  • id: 236686049
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  • id: 236686050
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  • id: 236686051
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  • id: 236686052
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  • id: 236686053
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  • id: 236686054
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  • id: 236686055
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  • id: 236686056
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  • id: 236686057
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  • id: 236686058
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  • id: 236686059
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  • id: 236686060
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  • id: 236686061
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  • id: 236686062
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  • id: 236686063
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  • id: 236686064
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  • id: 236686065
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  • id: 236686066
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  • id: 236686067
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  • id: 236686068
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  • id: 236686069
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  • id: 236686070
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  • id: 236686071
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  • id: 236686072
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  • id: 236686073
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  • id: 236686074
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  • id: 236686075
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  • id: 236686076
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  • id: 236686077
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  • id: 236686078
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  • id: 236686079
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  • id: 236686080
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  • id: 236686081
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  • id: 236686082
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  • id: 236686083
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  • id: 236686084
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  • id: 236686085
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  • id: 236686086
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  • id: 236686087
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  • id: 236686088
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  • id: 236686089
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  • id: 236686090
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  • id: 236686091
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  • id: 236686092
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  • id: 236686093
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  • id: 236686094
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  • id: 236686095
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  • id: 236686096
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  • id: 236686097
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  • id: 236686098
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  • id: 236686099
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  • id: 236686100
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  • id: 236686101
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  • id: 236686102
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  • id: 236686103
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  • id: 236686104
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  • id: 236686105
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  • id: 236686106
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  • id: 236686107
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  • id: 236686108
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  • id: 236686109
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  • id: 236686110
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  • id: 236686111
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  • id: 236686112
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  • id: 236686113
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  • id: 236686114
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  • id: 236686115
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  • id: 236686116
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  • id: 236686117
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  • id: 236686118
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  • id: 236686119
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  • id: 236686120
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  • id: 236686121
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  • id: 236686122
    {'hecke_orbit_code': 67553994477667825, 'n': 123, 'trace_an': 0}
  • id: 236686123
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  • id: 236686124
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  • id: 236686125
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  • id: 236686126
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  • id: 236686127
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  • id: 236686128
    {'hecke_orbit_code': 67553994477667825, 'n': 129, 'trace_an': 0}
  • id: 236686129
    {'hecke_orbit_code': 67553994477667825, 'n': 130, 'trace_an': 0}
  • id: 236686130
    {'hecke_orbit_code': 67553994477667825, 'n': 131, 'trace_an': 0}
  • id: 236686131
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  • id: 236686132
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  • id: 236686133
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  • id: 236686134
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  • id: 236686135
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  • id: 236686136
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  • id: 236686137
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  • id: 236686138
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  • id: 236686139
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  • id: 236686140
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  • id: 236686141
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  • id: 236686142
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  • id: 236686143
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  • id: 236686144
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  • id: 236686145
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  • id: 236686146
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  • id: 236686147
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  • id: 236686148
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  • id: 236686149
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  • id: 236686150
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  • id: 236686151
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  • id: 236686152
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  • id: 236686153
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  • id: 236686154
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  • id: 236686155
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  • id: 236686156
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  • id: 236686157
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  • id: 236686158
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  • id: 236686159
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  • id: 236686160
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  • id: 236686161
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  • id: 236686162
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  • id: 236686163
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  • id: 236686164
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  • id: 236686165
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  • id: 236686166
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  • id: 236686167
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  • id: 236686168
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  • id: 236686169
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  • id: 236686170
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  • id: 236686171
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  • id: 236686172
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  • id: 236686173
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  • id: 236686174
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  • id: 236686175
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  • id: 236686176
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  • id: 236686177
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  • id: 236686178
    {'hecke_orbit_code': 67553994477667825, 'n': 179, 'trace_an': 0}
  • id: 236686179
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  • id: 236686180
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  • id: 236686181
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  • id: 236686182
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  • id: 236686183
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  • id: 236686184
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  • id: 236686185
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  • id: 236686186
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  • id: 236686187
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  • id: 236686188
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  • id: 236686189
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  • id: 236686190
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  • id: 236686191
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  • id: 236686192
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  • id: 236686193
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  • id: 236686194
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  • id: 236686195
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  • id: 236686196
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  • id: 236686197
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  • id: 236686198
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  • id: 236686199
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  • id: 236686200
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  • id: 236686201
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  • id: 236686202
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  • id: 236686203
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  • id: 236686204
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  • id: 236686205
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  • id: 236686206
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  • id: 236686207
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  • id: 236686208
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  • id: 236686209
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  • id: 236686210
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  • id: 236686211
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  • id: 236686212
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  • id: 236686213
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  • id: 236686214
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  • id: 236686215
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  • id: 236686216
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  • id: 236686217
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  • id: 236686218
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  • id: 236686219
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  • id: 236686220
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  • id: 236686221
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  • id: 236686222
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  • id: 236686424
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  • id: 236686425
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  • id: 236686426
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  • id: 236686427
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  • id: 236686428
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  • id: 236686429
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  • id: 236686430
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  • id: 236686431
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  • id: 236686432
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  • id: 236686433
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  • id: 236686434
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  • id: 236686435
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  • id: 236686436
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  • id: 236686437
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  • id: 236686438
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  • id: 236686439
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  • id: 236686440
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  • id: 236686441
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  • id: 236686442
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  • id: 236686443
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  • id: 236686444
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  • id: 236686445
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  • id: 236686446
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  • id: 236686447
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  • id: 236686448
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  • id: 236686449
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  • id: 236686450
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  • id: 236686451
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  • id: 236686452
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  • id: 236686453
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  • id: 236686454
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  • id: 236686455
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  • id: 236686456
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  • id: 236686457
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  • id: 236686458
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  • id: 236686459
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  • id: 236686460
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  • id: 236686461
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  • id: 236686462
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  • id: 236686463
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  • id: 236686464
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  • id: 236686465
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  • id: 236686466
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  • id: 236686467
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  • id: 236686468
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  • id: 236686469
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  • id: 236686470
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  • id: 236686471
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  • id: 236686472
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  • id: 236686473
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  • id: 236686474
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  • id: 236686475
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  • id: 236686476
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  • id: 236686477
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  • id: 236686478
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  • id: 236686479
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  • id: 236686480
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  • id: 236686481
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  • id: 236686482
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  • id: 236686483
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  • id: 236686484
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  • id: 236686485
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  • id: 236686486
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  • id: 236686487
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  • id: 236686488
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  • id: 236686489
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  • id: 236686490
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  • id: 236686491
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  • id: 236686492
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  • id: 236686493
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  • id: 236686494
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  • id: 236686495
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  • id: 236686496
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  • id: 236686497
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  • id: 236686498
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  • id: 236686499
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  • id: 236686500
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  • id: 236686501
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  • id: 236686502
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  • id: 236686503
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  • id: 236686504
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  • id: 236686505
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  • id: 236686506
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  • id: 236686507
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  • id: 236686508
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  • id: 236686509
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  • id: 236686510
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  • id: 236686511
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  • id: 236686512
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  • id: 236686513
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  • id: 236686514
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  • id: 236686515
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  • id: 236686516
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  • id: 236686517
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  • id: 236686518
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  • id: 236686519
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  • id: 236686520
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  • id: 236686521
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  • id: 236686522
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  • id: 236686523
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  • id: 236686524
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  • id: 236686525
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  • id: 236686526
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  • id: 236686527
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  • id: 236686528
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  • id: 236686529
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  • id: 236686530
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  • id: 236686531
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  • id: 236686532
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  • id: 236686533
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  • id: 236686534
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  • id: 236686535
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  • id: 236686536
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  • id: 236686537
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  • id: 236686538
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  • id: 236686539
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  • id: 236686540
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  • id: 236686541
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  • id: 236686542
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  • id: 236686543
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  • id: 236686544
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  • id: 236686545
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  • id: 236686546
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  • id: 236686547
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  • id: 236686548
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  • id: 236686549
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  • id: 236686550
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  • id: 236686551
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  • id: 236686552
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  • id: 236686553
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  • id: 236686554
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  • id: 236686555
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  • id: 236686556
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  • id: 236686557
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  • id: 236686558
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  • id: 236686559
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  • id: 236686560
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  • id: 236686561
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  • id: 236686562
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  • id: 236686563
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  • id: 236686564
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  • id: 236686565
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  • id: 236686566
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  • id: 236686567
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  • id: 236686568
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  • id: 236686569
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  • id: 236686570
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  • id: 236686571
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  • id: 236686572
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  • id: 236686573
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  • id: 236686574
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  • id: 236686575
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  • id: 236686576
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  • id: 236686577
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  • id: 236686578
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  • id: 236686579
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  • id: 236686580
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  • id: 236686581
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  • id: 236686582
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  • id: 236686583
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  • id: 236686584
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  • id: 236686585
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  • id: 236686586
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  • id: 236686587
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  • id: 236686588
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  • id: 236686589
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  • id: 236686590
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  • id: 236686591
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  • id: 236686592
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  • id: 236686593
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  • id: 236686594
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  • id: 236686595
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  • id: 236686596
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  • id: 236686597
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  • id: 236686598
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  • id: 236686599
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  • id: 236686600
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  • id: 236686601
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  • id: 236686602
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  • id: 236686603
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  • id: 236686604
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  • id: 236686605
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  • id: 236686606
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  • id: 236686607
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  • id: 236686608
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  • id: 236686609
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  • id: 236686610
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  • id: 236686611
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  • id: 236686612
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  • id: 236686613
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  • id: 236686614
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  • id: 236686615
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  • id: 236686616
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  • id: 236686617
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  • id: 236686618
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  • id: 236686619
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  • id: 236686620
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  • id: 236686621
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  • id: 236686622
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  • id: 236686623
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  • id: 236686624
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  • id: 236686625
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  • id: 236686626
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  • id: 236686627
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  • id: 236686628
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  • id: 236686629
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  • id: 236686630
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  • id: 236686632
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  • id: 236686633
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  • id: 236686635
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  • id: 236686636
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  • id: 236686639
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  • id: 236686642
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  • id: 236686648
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  • id: 236686663
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  • id: 236686666
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  • id: 236686678
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  • id: 236686690
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  • id: 236686693
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  • id: 236686717
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  • id: 236686718
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  • id: 236686719
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  • id: 236686720
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  • id: 236686721
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  • id: 236686722
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  • id: 236686723
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  • id: 236686724
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  • id: 236686725
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  • id: 236686726
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  • id: 236686727
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  • id: 236686728
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  • id: 236686729
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  • id: 236686730
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  • id: 236686731
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  • id: 236686732
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  • id: 236686735
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  • id: 236686738
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  • id: 236686744
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  • id: 236686747
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  • id: 236686756
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  • id: 236686762
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  • id: 236686765
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  • id: 236686770
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  • id: 236686771
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  • id: 236686772
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  • id: 236686773
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  • id: 236686774
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  • id: 236686789
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  • id: 236686810
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