Embedded newform data - 1800.4.a.be.1.1

Formats: - HTML - YAML - JSON - 2024-04-18T23:18:00.400378

• 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': 28800, 'analytic_conductor': 106.2034380103331, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 1], [5, 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': [1800, 1, [1351, 901, 1001, 577], [1, 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': [[7, [-18, 1]], [11, [-34, 1]], [17, [-102, 1]]], 'hecke_orbit': 31, 'hecke_orbit_code': 135107988888225544, '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': False, 'label': '1800.4.a.be', 'level': 1800, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '360.4.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+18q^{7}+34q^{11}-12q^{13}+102q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1800.4.a', 'trace_display': [0, 0, 0, 18], 'trace_hash': 2033278343354218863, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.973', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.897', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.096', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.638', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, 'traces': [1, 0, 0, 0, 0, 0, 18, 0, 0, 0, 34, 0, -12, 0, 0, 0, 102, 0, 164, 0, 0, 0, -48, 0, 0, 0, 0, 0, 146, 0, 100, 0, 0, 0, 0, 0, -328, 0, 0, 0, -288, 0, -120, 0, 0, 0, -16, 0, -19, 0, 0, 0, 126, 0, 0, 0, 0, 0, 642, 0, 602, 0, 0, 0, 0, 0, -436, 0, 0, 0, 652, 0, -1062, 0, 0, 0, 612, 0, 388, 0, 0, 0, 444, 0, 0, 0, 0, 0, -820, 0, -216, 0, 0, 0, 0, 0, 766, 0, 0, 0, -798, 0, 402, 0, 0, 0, -1444, 0, -198, 0, 0, 0, 2010, 0, 0, 0, 0, 0, 1836, 0, -175, 0, 0, 0, 0, 0, 866, 0, 0, 0, -2098, 0, 2952, 0, 0, 0, -886, 0, -500, 0, 0, 0, -408, 0, 0, 0, 0, 0, 2302, 0, -2384, 0, 0, 0, 0, 0, -1452, 0, 0, 0, -864, 0, -604, 0, 0, 0, 664, 0, -2053, 0, 0, 0, 4118, 0, 0, 0, 0, 0, 1746, 0, -1270, 0, 0, 0, 0, 0, 3468, 0, 0, 0, 2676, 0, 3146, 0, 0, 0, 3674, 0, -1392, 0, 0, 0, 2628, 0, 0, 0, 0, 0, 5576, 0, -540, 0, 0, 0, 0, 0, 1800, 0, 0, 0, -1224, 0, -4166, 0, 0, 0, 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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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-0.1429864796244336], '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': 31, 'hecke_orbit_code': 135107988888225544, 'label': '1800.4.a.be.1.1', 'level': 1800, '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], [5, 1]], 9, 8], [[[2, -1], [3, -1], [5, -1]], 11, 8], [[[2, 1], [3, -1], [5, -1]], 12, 9], [[[2, -1], [3, 1], [5, 1]], 7, 5], [[[2, -1], [3, 1], [5, -1]], 7, 2], [[[2, 1], [3, 1], [5, -1]], 7, 2], [[[2, 1], [3, 1], [5, 1]], 7, 5], [[[2, -1], [3, -1], [5, 1]], 11, 10]], 'ALdims': [7, 7, 9, 12, 7, 7, 11, 11], 'Nk2': 28800, 'analytic_conductor': 106.2034380103331, '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': [1800, 1, [1351, 901, 1001, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1032, 'dim': 71, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17], 'hecke_orbit_code': 67110664, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4], 'label': '1800.4.a', 'level': 1800, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 1128, 'mf_new_dim': 71, 'num_forms': 49, 'plus_dim': 37, 'prim_orbit_index': 1, 'relative_dim': 71, 'sturm_bound': 1440, 'trace_bound': 17, 'trace_display': [0, 0, 0, -12], 'traces': [71, 0, 0, 0, 0, 0, -12, 0, 0, 0, -22, 0, -2, 0, 0, 0, -46, 0, 46, 0, 0, 0, 28, 0, 0, 0, 0, 0, 50, 0, -100, 0, 0, 0, 0, 0, -178, 0, 0, 0, -16, 0, -400, 0, 0, 0, 52, 0, 3527, 0, 0, 0, -594, 0, 0, 0, 0, 0, -252, 0, -1446, 0, 0, 0, 0, 0, -304, 0, 0, 0, -136, 0, 634, 0, 0, 0, 32, 0, 1172, 0, 0, 0, 1040, 0, 0, 0, 0, 0, -2772, 0, 2768, 0, 0, 0, 0, 0, -862, 0, 0, 0, 126, 0, 204, 0, 0, 0, -336, 0, -1046, 0, 0, 0, -2742, 0, 0, 0, 0, 0, 2172, 0, 6337, 0, 0, 0, 0, 0, 1532, 0, 0, 0, 900, 0, 4464, 0, 0, 0, 2338, 0, -3362, 0, 0, 0, 7312, 0, 0, 0, 0, 0, -2286, 0, -60, 0, 0, 0, 0, 0, 1974, 0, 0, 0, 6584, 0, -2968, 0, 0, 0, -3084, 0, 11985, 0, 0, 0, -8266, 0, 0, 0, 0, 0, 4706, 0, 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• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48747360
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 135107988888225544, 'source_is_minimal': False, 'source_label': '1800.4.a.be.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 135107988888225544, 'target_is_minimal': False, 'target_label': '1800.4.a.be.1.1', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48747361
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 135107988888225544, 'source_is_minimal': False, 'source_label': '1800.4.a.be.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 126100789633484552, 'target_is_minimal': False, 'target_label': '1800.4.a.bc.1.1', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48747362
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 135107988888225544, 'source_is_minimal': False, 'source_label': '1800.4.a.be.1.1', 'source_level': 1800, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81065136957163272, 'target_is_minimal': False, 'target_label': '1800.4.f.s.649.2', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48747363
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 135107988888225544, 'source_is_minimal': False, 'source_label': '1800.4.a.be.1.1', 'source_level': 1800, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81065136957163272, 'target_is_minimal': False, 'target_label': '1800.4.f.s.649.1', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48747364
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 135107988888225544, 'source_is_minimal': False, 'source_label': '1800.4.a.be.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713443688, 'target_is_minimal': True, 'target_label': '360.4.a.j.1.1', 'target_level': 360, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48747365
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 135107988888225544, 'source_is_minimal': False, 'source_label': '1800.4.a.be.1.1', 'source_level': 1800, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014742173976328, 'target_is_minimal': False, 'target_label': '1800.4.f.e.649.2', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48747366
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 135107988888225544, 'source_is_minimal': False, 'source_label': '1800.4.a.be.1.1', 'source_level': 1800, 'target_conrey_index': 649, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014742173976328, 'target_is_minimal': False, 'target_label': '1800.4.f.e.649.1', 'target_level': 1800, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 48747367
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 135107988888225544, 'source_is_minimal': False, 'source_label': '1800.4.a.be.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67109224, 'target_is_minimal': True, 'target_label': '360.4.a.a.1.1', 'target_level': 360, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 48747368
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 135107988888225544, 'source_is_minimal': False, 'source_label': '1800.4.a.be.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112589990751371984, 'target_is_minimal': False, 'target_label': '720.4.a.z.1.1', 'target_level': 720, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 48747369
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 135107988888225544, 'source_is_minimal': False, 'source_label': '1800.4.a.be.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195595555536, 'target_is_minimal': False, 'target_label': '720.4.a.m.1.1', 'target_level': 720, 'twist_class_label': '360.4.a.a.1.1', 'twist_class_level': 360, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2216650
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 2}
  • id: 2216651
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 3}
  • id: 2216652
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 5}
  • id: 2216653
    {'charpoly_factorization': [[[-18, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 7}
  • id: 2216654
    {'charpoly_factorization': [[[-34, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 11}
  • id: 2216655
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 13}
  • id: 2216656
    {'charpoly_factorization': [[[-102, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 17}
  • id: 2216657
    {'charpoly_factorization': [[[-164, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 19}
  • id: 2216658
    {'charpoly_factorization': [[[48, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 23}
  • id: 2216659
    {'charpoly_factorization': [[[-146, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 29}
  • id: 2216660
    {'charpoly_factorization': [[[-100, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 31}
  • id: 2216661
    {'charpoly_factorization': [[[328, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 37}
  • id: 2216662
    {'charpoly_factorization': [[[288, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 41}
  • id: 2216663
    {'charpoly_factorization': [[[120, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 43}
  • id: 2216664
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 47}
  • id: 2216665
    {'charpoly_factorization': [[[-126, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 53}
  • id: 2216666
    {'charpoly_factorization': [[[-642, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 59}
  • id: 2216667
    {'charpoly_factorization': [[[-602, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 61}
  • id: 2216668
    {'charpoly_factorization': [[[436, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 67}
  • id: 2216669
    {'charpoly_factorization': [[[-652, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 71}
  • id: 2216670
    {'charpoly_factorization': [[[1062, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 73}
  • id: 2216671
    {'charpoly_factorization': [[[-388, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 79}
  • id: 2216672
    {'charpoly_factorization': [[[-444, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 83}
  • id: 2216673
    {'charpoly_factorization': [[[820, 1], 1]], 'hecke_orbit_code': 135107988888225544, 'p': 89}
  • id: 2216674
    {'charpoly_factorization': [[[-766, 1], 1]], 'hecke_orbit_code': 135107988888225544, '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': 31, 'label': '1800.4.a.be', 'level': 1800, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEzEipluh4wAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vG3XXd4Lf0eZc6666+lN0pGOuqxmWXKT5e7YAdvYVAMhgOGGy829eZMLBJIbkjcE8EtCQi4kYIyNsam2cZWbbMuSrN7r6b3us+vqs41x/xizrXW2DOGS1zbJ+nhprbW3rD3XnM98xvN7fmUI/ufjb+3xsc/ci5Ri8zP7j0/b1Npt8x6+J3nsSI/bXzInbru6tXTP4ynb5pfnb77qlH1q/3ZqvmTz/IBWMxVG7lkDe25+26sBtgKrwFAI8a3+at+xD/2tPoDvlMfBo2cBLjEm3WwRZjCM+Pgn/pI9205z8dZlasrn8MlPxCv2pl8e9lf+vhY2PnXWZ/OcIB6M6K0l/qlTix84cUog0tFPnJjqR2fOLbJ1Ho6PIqZaqTdKjn72t/5w7y8/f/KT4j/+65/89XOnjvxFLXnqsf7aPmUJQAippHcOOFJvbftWn5LviMf/pIYXebxw8DxW1GY8e+T2wcrTKCHjUyvT/6Q3km+UwhLFCY8//iSt+iqXbeuw2lOcWKiDCUnihNm2Zd8Jn2suSTlzXjI7ldBuBhw6o0lNzIaW4PRSzLW7DQdOSOamDL7vU6tpjpyXrPbh8k0Je3bNcsVVL8HioRUMIv3lvUdGv5na1Hvtq67lsou334MNV4Xc9K0+Zd+Wj/8J8OyxurqIhTe3muGlR472zL/+rT8373nz1CX9cNMv9LuHaNZ8jp44S7e7RBRrVgaS1PrUPEs7sCx0Ew6cGbFtrsZ0XaFEzIYpnz07FYMRCBly6rxmFMHpJYHCZxjGXLrTsnm2j0TSbERs2dhj37E5llfrNGspgY4ZjAydviJKEmZmN9BsbUPpkGv2XMJT+5Z+7dbLzx7ZsedHZSSm5baN+hDwxan2/Lf6lH5bPP6HB/gLz9yHFOL25bXoTc8eWnr3VZecvyLs+3zgE/u57dpVFs97HF8csH1e0Qhgw7Th1EqAkhYpDFtnUo4v1Gg2LI8dChmEgpoPS2twyQZNox6weUPC7dd2ef7IFI/tFbxwPOHl16Rsmzc0m4Kdm1dZXFXUAhiGlif2zdOqSw4v+GyZHSEF+Crl7LJiqpkgSdm2KWZxqcXQGu64vsnxlauptVJe9ZLpfedWNn4sSuSXhOCeN7/xNd/qU/wtffwPB/Ber0O9FsyePbf4737vj77kHzjxQvpT31W7aWV16uY/+fw5Nm88xuuub/KVR6cZmjXeeJPmvqdq7N4xpD/0OLOiCGNBoBOu2pGyaTZkuSd56vAUcSLYs23EQk9x3e4hB456dEeaKIRbruqz/2SDdj1i7ynNrZdLojikO9I8dUxyw0UpnZ7HpdsjoljyzBHBUq/Glhm4YmcPX0uiGM6uePTChMu2enz9Kcvrbu4TDqf5/EMDXnPzGtfv3sEjB7axNBw89v2vW3p8y4br1dyOt0SN1twvpkm0Mjsz9a2+BP9/ffydDzIPHzmG72nxsc/cxx0vC5UYfvF3Dh3Rlz/yxNlXnTx+Sp1d6HLw+Ek2t9psm2vy5KF5br9hhZuumOKLj7R49NCAi7ZYzpzXbN1oGZy2xNYSxh4nFyWb5kKEsOzZHvLCEU3gD9m9xefcosdMW3DrVTFPHzQ8c7jNIO6xa3PES7wpTi/BUwfqXL4rYec8HF4Q1IMYhOLAKY0lRtqIHRssrTooEeEpj84QdmxUHDsjuPmKHjONJl9+VtCeinn5NW0efx7ue/wwO3b0brahvvmFvUc58+Bfpn5rx1VrSbD//R/9s5959TWkG3bcjjWJ3bhp57f6Ev13ffydBHhn9QxKKjkadmsf+6N/Hb7+Hb/0z9I0/ZF/+V+Oxr/0Q/uvrImpWn+1RsuH0UDyxAH4kTf0ufbSFmeWa9z1WMD3vGqN63fP8dUnfS7dMWDzdItjZxJuuSJi30mf6WYMSJ471mDrrGF5VXP/8yn3H4Trdlmu2iFZ6Qnue0Hy2mtippuK1V6Lk2c1a12L8iJ+9C2rHD/XZq0nuPHyEddduojHDOeWNnByEa66yDCMJEfPBcw0NHtPSS7fAb2e5PJdS1y8tcZXH/U5tjzkXbcbFpZm2HsMOmHKDZdGCFNn35EBzx/epw6eP/Ka1szg1v/wvzRuSdObvDAM/+idP/ALv/Hs8weDmZmpUZIk5uJdf/ecmb9TEiUxBiGEtOnKdG/50G3DkXr//gNHkgcfPTj31Atn288eT5jZsMS/+IEQm27j6QN1njoQc+DckDe9vMMrr2zy9P5p7nkmYnquzztfIXl2X4v7nhty5e6E7bN1sEOEFnhSc+isZmM7pRNaWrWQ4+dTnj+Z0lIzvPGlfVbXWjz8guWaiwWX7UxJE8GJRY80NVy2XXD1JTEPPy9Y6Q94w82SevMM+4+1OHZ2hkYg6A085qcSDp/18XWIkgprNDs2r3D1LsW9T87w2JGYt9/eYVNzmnufqPHk0QG3Xr/KW1/qc+j4Bp7ab3j6cMxA9vmlHz7PtumN7D8+z9poU7c1c/Hyrosu1SMj33v9Nbsf3DzXXgNrhJDf6kv5t/b4O8Pgi+eXWDy3dNHdT5zYfsnW5GM7g89OHTveax47CvFI06rDlmnLM8dm+Mbec7zztlV2dDSdvqY7DPjYV5vMtbpct0czipp84znLJ+8f8K5XdajVWjxx0GPrXJ+5ts/JBU13mDIYDGlu8oiNZrap2DojefU1Q548mKClIPATgkbCY0cUzZbH9vmIMIFtc3DD5Yt0BpowmSE2mmePSZ4+sItA1Qj8FD0dMgxhqj3kYqDb9zl5PmVuesCGqRZfetjn2RMR73hNn+3Tbe5/usYzR0dctXuVH7wj5cCxGQ6fEpw6n3C2k/K213S5ZmedvUeaLK4Kjp051z5x9lh7dfQIzS3b/+I3f27YiXX67khcearXWznWas1+qy/p38rjOx7g1lqAy+/6yj1bU6t/957791/2yw/dqz7wT08y39rE3PQc/ZFmMNIMQ0N3BB/+0ixb55a5bY9mMJonjD2GUYOHX4iI4lWu2wOB3+CRfYpP3NvhmovWeNV1TQ6ebLO4NqLuJ2yYMezZpji7rFjpSLq9lFY9JPA9tm+IOHrOQ8sh73iF5vH9HlfuWmN6usudTzToDgPmp5o8ccDnqkt6zE15HDsv2LbBo1aLmamleFoipeCxvbNMNQfU/ZBLdyh8Wecbz1gajTXe9RpoedN87VGffaeGXHfFCjfshpNnNrP3iMexMzHPn7LcfO0qP/aGmFMLWzi3XGNpFVY7CZ0BvHB6yFT/4Wb3+Jeb5ze8+Z5Ey4Pdvvlpa+0ZYP93ehb1Oxbgi0sraK0ve+GF517S7fb+90OHj9z+9Qee45nDXZZGNX7vsy3+z+/rsHVDjWGoGIY+o9BjGFr6Z+rc+XCTl1+9zA2XK2AGaz2eOjTDh/b3eddru9x2Zcz8dJPH9s7w5YdHbJkfccUuwcYpzeEzHoNRTH8Anb5Aa8u2+RSURMqI4UBydrUGps7GqYhLtw24/5mAkIR3vjImjRocOiXZMKPZNicwJmFxVdMdhQxjn17fZ8d8yFx7hFISrQVxrDl8CjbMDLj1uoStM5oDx6f4xj44s9Lj5ut6/MBrUk6e2cyT+wP2H0948khKLHq87ZYRo+E8pxYanFuWLK7GLHcSTq1IVG3EP37nKk3f5/jhx9RS9/QVXuvau8PEu8f3G/+p3+89ncTxwemZ70xGV9/qA/ibPDqrx2m3vItOHN/3H44e3vev7n/gwYv27j/McBShpSIMFc8d99i+qcsrro6JY5841RirsFagMZw453NsyXDRli6bZ6AR1Kh5GoXmqcOKc2sj2u2Iqy82XL49oNevcWpR4OuY2CrOrHqcWTR0I4HWmk3TCQurhmNnfWZaEoFm42zMSs9y7UUjpGxwdrnBnm0BB44HnFyyXHVRyMKKJE48hpHi8h0xQlh6A8mm6YQNsyEbZyM8CZ2BIghgz3bB6mqLrz5e5+CZEbOzHe64acitlwccPrGRp/b7PH8k4chiRGu6w4+/uc/Vu6Y4fnaaE+c8ziymLCzHnFgWHFi0vP2VC/zEWxL6/VkWVqZYWLYcOnyWF/Yfvag/SL5/GCa7WtNzD/6jf/Sza//5t37zW33p/5sf3zEM3h1YlKI5CpOfO37ySU8NHr3q3EL/HccPnUARMDddBxGTmoQtsWG0WuNDd82zdW6Jl+1ZIU4FxjQwVhWR9ePPzPL0IZ93varL224JmZ2aY6YdsOGUYu8JjyOnR+zYGPLya4e84TbJiXNNTi7U6fYMgYqpz8BMK2XDVMj5jmYw9Ng2H5Gmmku3DqkFMQ/vDThwqs6GmRG7N9c5cUbSGcZcts3SqhmeOxrg+4q5FpxaVsw3wUzFHDynWBvUmG3HSAkzzRjb1TzwrMeJxZBdm0e8+aaE7Rs0pDM8va/B4VOWF47HHF8OefMrVvmeV4XU1QzHzs5w7IzmzPmUc8sxp5bh6Irl9hsX+ZHXjxgMZji30mS169EdeAwiWFzp8Nz+b7Bt7+l3eLWn+KHvueFZmxz/T53uaHF69vJvNRz+2o/vGIG1cOZ+PO1v7PZW9h87/PWZWW+BMwuS1V6dpY7H8ppkpZOyvBax3Ek5uwoHFwWbN67yL9+zwksva3H87BwnF+qcWdScWUw5vRiz75RB14a8+bYub7jBUNdTnDrf4tgZj8On4NRyiqeHTLVSzncVg0FCmiQIBEGtzo6NHpdtiZieijm7LOj0NZdujcFCZOD4Qo3e0NKuCxq+QJIQBCntRkp34HP8PITGx1jLFVsjeoOUM0uamZbHJVsTdm7q02yECGmJIkFnUGex4zPTEHjS48x5n0OnBcfOJZxYTgjqA153c5+33gKBnGb/8TYnFhRnc+ZetBxastx09SL/8j2rbJ2Z5viZWc4u11lc9VhalSx3ElY7McvdlMW1hG7a5OabN5rdF13y574/9VNpGnX/+Xvf/q2GxF/r8W0N8OGgx9GFmOmG/NUnnj/88v/4gU/LGy49/PL//R0ndRTOsbQ6xXKnwXLHZ7mjWe7ASidlpROzvJZybg0OLws2zK/xr39kmZfuaXByYZYz55ucWdIsLFvOLSWcWkw530uYnh3ximv7vOwK8GWdQAUsrNQ4u6Q5tyIYhJAkhppvaNZSZqYSDHD8XEK3D7s2eTTrIdYKED79oWHn5pDlNQ3WSZG1PoQJWCwrnYhtGz16Q4VQFmFC2jWPnVtGrA0Ex89oUqOZa0taNUHgQZIIBqHk3Irk7LJlYTUhCEbgJdx6VZ+XXy3Y0K6zvNrm5ELAmSVYWEpYWEk4vQKHly03XbXEv/mRVTZPtzlxbpZzy3UWV32WOpKVtZTVbsxqN2WlZ1jqSU50YDDs8+//sUle85L5B7Zf+n2mPbvnAaHif97ptJiebn6rofKij29bifL+D32CeqPF8vLyr3z8s3f/k9//y8eC546vcehMwnffZrju4h5J6pEaRWoEqQFjNNYqnLECQqQIYTmyPMO//qjgV358gRsujmjVZ2nWW7QbAa2Gx3RbsbCsOLeq+eqDNT5/f8JlOwZccUnCyuqQK3eE/MCbDHGiEFg++1CN850a9TTk2FlFv9/iuktTzncT9u732LNDcvAM3Ho5dHoQGU2gI+abcOB0nUY9JlAJUy3BWg9uubLH4VMBe3YZjp4Jef6w++95O0YcXrBMtUJWuhGf+2oDKxRpmnL79QNuu8Fybs3jht0jdm/1SOI2g2GdvUdqnFsSLK6mnF9NWFgxnFgRLPQjrt+zzP/1Q302tGc4fnaaheU6i2seyx3Jaiel04vp9FPWBpbVgeD8UNIbxNx02Sq37VnTM7XOqxeO/BEnT7zutm0X32Fm55q/9Mxjf8l1N7/zWw2ZdR/flgz+6AOf5Obbdqjf/+D+/+upfQu/dODQMXV+JeTcQHNuYLh21wK/+dOLXL+7wcLyDMudBiudGisdj5WuZrUHq52U1W7CSi9hqQMnVwW6PuK2q1f4vldHXLyxyVq/zfmVOosrPksdwUrHsNwxrPYM3aGhG1oGo4S5dszOTQYQBJ7l1HkPIQN2bVRcvNWydeOAhdWQpw+2uPEyS6O+ynOHZmk1I6LIY27GMBzBlTtH/PHd01y+IyEMLfNTkjgd0qoFPH9sRN1rcv2ehGeORCws+2ybC7h4C+zcHKFUzKkl8D2LEJZdmxJmWpLeMKA/cNp5patYWYPljmGlk7LUSTnXgeVRys5tfb7v9iVuu0JT89qcXWqztFpjaU2z0hWsdgxrvZjVXspa37Lch3M9xcJawksvP8f7fnqZy7Y1WOm2WVxtMBi1mJ7fmYZm56/8uz/Z8W++7zUL6Y+959sP5N9WAD9wYC/NRr3+wv4TO1fP7/3eI8cW/u0Dj5+kPxIMYlgbCM4PFGd6CTddco5//9MrXHdJnfOrMyyvNVjt1ljpeqx2Natd6PQMa72E1V7CStey0BGc6VsQfd7xyg5veanhki01oqjBaqfGWt+n01Os9gW9gWAUWqLEkqagpCXwoB5YptuWjbMx2htx+GzEs4cCTNLkTbdEaG+Nx/dOcdEW+MIjCa+8JuB8Z0hNK5I0ZnYGkthDewnLyw1ecUOXLzzY4uIt8NjBEI8Gb3ypIRFDnj2ccvRUDS19Ns1oZpqCeiDwfYESkBiIYssogt7AstY39AaGtYFhuW8Zpim7tg94y8s6vOPlEZgWy2tTnF+ps5yTQQfWeimdfsJaBu6VAZztKha7KTftWeB9P32eq3bVWVqdZrXXoNsL6I80y2uSbrKNenPDv7jtpVf/RXNq+4k4Gg0v27PnWw2l4vFtA/AHHt+L1fN+kBz+sZPHD/3OPfc9JcJwJPsj6A1SeiNLbwhrQ8n5oeRsL+all57n139ymRsurbG0Ns3yWpPVbsBaz2e1p1nrCTo965bcXkKnb1jtW873BGc7hpnpAa+/qcetVyTs2qRo1z26vRqBJwFFlEiMERgLgxEgDDOtEQdPW4yNuOuxJuGgzqXbfG67dkBs1rj3iWmuv8zj4Lk+ndU2L7t2wFcfD9g0a9l73PK/vr3L3mMBm2YlX3lCcduVipVBlyMnZ7l+T8S9zw5Jwga3XuWze8eIYdLny48rSAWHT2naDY0WMBhKjBWkxhIngDRo39DpW5qtmB1bQl5+5YDX35gw16yxsDLF8lqd1a47N6tdQacPnV5Cp5/Q6ad0BpaVgeRcT7DUS7jl8kV+5ScXue7iGotrU6z1GnT7Ad2BR2/g0ekrugNL4Adm0/Zr7FVXXvIz171k14cGaytRc+aabzWkgG8TgKdJIofD4ds+87kvXJqa0ftWzjzunT7vMo9hlDIYGfojQ39k6Q0FnaHThmc6CbdeeZ5f/clFbtzts9adYnG1RadfY63ns9bXdHqKzgB6fUt3kNDtp/SHhs7AstgXLPYhTkOuu2zI5tmU/sDy5peFXLTZkKQSLS1RDPc8XePE+RpbZhKeO1wD0+CK7YobLjcEtQGPHxywuNTk6ouatKdXefAZj5svq7E8WGN1tc3mzZZH9ip+6I4+j+7VbN/osdTvsLoyyw1XDnjwuZTZ+jRXX9rnfKfDIy9MU9dNbrrcsmfnCGSfp48KNs7GLCzG3Pu0xyhWSAmpsVy0JeL1L4vo9RVbZww3XAZR1GCl02ClE7DW9+gOFJ2+pNuH7iCl20/pDVK6A8PawLIylJzuCjrDkNv2LPJvfmKVmy5zN0enV6c7COgNPHpDTW+g6A8lo0jQ6aecXhjxjrfdHPt+4+de9eq3HqrVap/zfG2+1dj6lgeZh071OXq2/yPh6iO/GfUOzJ45u4rv+7SbAiklUoAt7kODwGlQKS1Sah49sIl//gHN229b4fvvWOHibRHnltsEfp164NMIPJp1Ta8uaQ09ppqawSilP0zZFBqGoaU3ClhZrHHqpCVKDKfPJQSBBQS+smgpGAwVAo9koHnJRYLdWy07tw0I0x5ffFSx79AMb7gx4IYrV/nwFy2+aHDRtgHPPKjYNq2Ybw+oqTpR7HG+B82aZvsmwVP7Im7YU+fV1y/xh3cO8b0Wr7vF4gUDvvZIxBcebvLC0TqXbG1w0ZaUDTMRF8/HXHNRilIGrSxgaQQBG6YDotijN/B57qDnShSGiv5I0h9Cf2TpD9x37w1T+kNLd2hZG8LiQLGwamlMdfjZNy3y3beFXHdJk7NLbTr9Gr0C3Ip+9t8chILB0DIMLfWa5uv3PuXVW/O/Gcv5lbe8/vp/Yu3KHwrxrc2AfksBHg5HIPiJz9310K+mq5+bnQoizHydYSjBCowV7hBFigCEAClcJ42SFiVTfCl55uAGnjzQ5OCZ87z95X1eftWI6VablU6DZrdGe+jTH2h3cUaS4UgzCDWj0DKKDFFsiWNLkrpnlPhYA1IJPC2o+YLplmCmBZvnDds3DZif6fClx+G+Jz2kmeINN3q85Ioe978QE43a3PYSQWc45Pxyk1v3GOanB9R1wChRLHZjlBG8ZI+m0Qp5Yn+NV90wxcuu6/HEfgV2ihuv8vnxt67w1acivvJok70nauzcoNg8W2em1WCqBfUAPG1REoyFvUcFaSqIE0GUQBjjvmOYMgwNo9AwGBkGoaE/hG4Ii33J+R6EZsRrr1/hbS/v8IOvMyRJm3NLTbr9Gr2hT3/o0R8qekPFYCQYjATD0GarrDuHq92U84dOcnr5i7MXb0n/f5ddcbvuD4YfaDbq/+MB3NqzQO/HF44/8Kvx0gMbPTGkUfdI0xQpQApASAQCIRRCCKQkAzcoZdHK4ilD3RMsDer82d3b+dqTXV55zRrvee0a11zcZ266wfJag94wYDD0MmAr94wEYSyJE0GSuKU+txiVtGgNNR8adcNsK2bbxgEJfQ6ejvnze2scOdlkOqhz81WaW6/t8siBDnc91OaWy2rs3DLgj+8WKBHQbsWs9UOMBSVgQ3tAt+djkjpve+V5/uwLDXYv1HjLLQOieJl7n50jTmu89KqNvOXmLpft6PC1JwY8c7LB00d9ts9KZtuCRiDwPXcTSgFCWIwFYyxxkt2ssSWM3Y08imAYQW8kWA0FKz0QesT1l6/xntev8cqrUubadVa7DTq9Or1BQH/k0R+WK8EglAxHMMhunNHIMIxSRqFjcovi7Jkev/0HX9t40632V9/8+pfbA8eX/2DPrrn/MQD+zMMf4QNfmuc//O6jP7plw6n33bTzwfk92w29QYMoMdRqKRaBEIAAISRCCISQKKmRMkUpkS3PBk9ZAm2pa8HqSLHcmeFj9zR5+Lk+t123xntet8b1uzvMpXWSJGAwqtEfegxDTRQr4kSSpJLUuBVDYJHCEviGRi0h8CN8L+T0csidj0kOnfI5emoGZQJ2b/G58mLFjVd0UcEizx5usW26wdWXwOYNq6x021yzTZIYy5ceDQgHkulmwhtfOuJz98acONfi8ks9zq6NeP6Ix45NM1x38SL3P9PjwecFYeRzxcWzXLEj4IrtPQ6fXeHQaXh0X4ODR5o0tCDQkmZgqXkgpQuqrHU3a5JClECUCvqhoDsSdGOITIKxI266rMt7Xt/lldekbJkNGI2mWO7U6PUD+iOfwVDTHykGI8UwFAxHkmHo+kZHYcooShmFxoE7MowiS2pgOJDc/cQaT5z48sYtM8fed/0lmxO79ukP/+rvd/nFf/qev7sA/3f/8cNce8si/yBNf3DfoYXfOnH0+ekbtpxndqoFQjIaeUhhMzmiEALH1lKglEArlb0atErxtMDXBt+zBJ6l4adM1wS90GO1O8Mn7mtz99MjNs0M+N7bO1yxY8Ro2Ofqiy07NivC2CNNFamR2Bzc0uDplOMLlqPnBGtDw2fub3B6aQYbeczUFFvnNLs2ay7ZBlfv7mLkEu//XJOVlSluuUJz9e4OX3taIBKPjTOSZiNhEPtIK8FKlPbpjAQLK4KrbIPbb+zxwBN1ts773HL1LP/wrUt86As9Ht3fpD/yWF5rcfHWOpdvGfDSPT3e+aoeZ1ZW+Mz9AcuDgONnPU6f9vGUi1sEAmMd2GJjSRPDzFzMtVcNCMOYK3aEvOv2kI1TitlWQBzXOLtYYzD0GYRulRsWwJYO3KFgFOJWgjBlFDkDYBRaRrHNQA6jRDCIBGuRR3exwxe++tD8E7N7fqs1sy3+xX/q/cnhZ3+f3df+5N89gH/wQx/nx/7BW8W/+vW/eHcSH/z9l122t/GDr4vxtCCMYpo1iQSEtKXWlk4qSClRUqKVQKvsVQs8neJrge8Zap6lHlsakWWqljJTFwwiSS9qcvRUk1//k1kwCSJJuPHaARdvjkgSMNZgrUviSCGQSqA9n/0nfPYeqtGsaVq+ZL4h2DAn2Tir2bpBsWtLyuW71kjFMv/5k22On5jmlj0eV1yUMkx6PPRswHTdY27KMt2KaNSdFDJG0hkpVvqW5U5Kp1/nFVev8djeAftOKKbbNV561TQ/+bZlfvtT8MShJv2hZa2nWVhps3m+wcaZEbvmRvyzdw9oNzo8cxT2n5R4nkUpixAGsO5/FpIELtqccts1CWnsEScB1jYYRR7nlnyGoVvRRpEq5NswEoxCwShyrB1GllGUEmaaexSb7Gf5E4axYBgLupGgb6Dfq/Phrxletmfv9P/x/Z3fP/TUpcnH7v2Jj91/95x9xR3f83cH4B/88z8h9AP1sU/8xTsa8tyH/8ud52qP7jb82pZVrtwlUcpkcsQiZZAFkB5KWZRUKKUyvS3xtNOcvqcIPUkYGYIoJYwt9dgQxoYosrQTCGNDmECUCEaxJEwD4rTGvkNNnt4HqbU4aDtt7Enwlav5aAVw9RZo12GqKZlpKeamNRtnYefmkC0b1ojtCv/5k1McPjLFDZcoLtku2b19la8/n7CwPMWNF0tm2oaaPySQAVYJklQirCVJI1b7NRaWPW64os5L9vS4/4kam2YEjVqLG/YYfvYdy/zWpwzPn26x1jes9RSLq5r56SYz7Toz7SnajZgNzZhdN0QEXoKnE5RKkcIFExZ3U8Wx4vyiJk4UcaKIYkUYZ6+RJIwlYSQZRZIwEi5AjQRhZAkjd17DKCWKMk0fu5+PIhjFglEMgwzca7GkF6XYcMSlF3f539+9wu75YeOBJ+c/fNH8H5nN28Qnv/aVD6Wvff2PfecD/N57P8r2DZ66/7mFdz2879QfJp3DtVC0+dKjM3hqxP/3vWtcuT1ByRQpDVJalPJQyrhXafGUxdMKT1u8SOJ7wl0ETxD6iih2QI9jS5SkzhVJKs8UktSSpobU4PS2oQB3LoW0BM+DQAtqgaARSJoNxVRDMjMl2DibsGvzgFZzjU8+EHHvs7OsLbW5dqdi1xaPy3aMSMUaX3q0QdPTbJhRtBojnj0MLxzRXLPDMggV110Wc+1uy7mzKYurPsNRgzfd3OMbzww5eFrRrEsCv801lxj+zY8uc8/zQz53zzzLXcuujSmrHc10WzHV9Gg1PJp1Sy0wBL4h0Cla2excumtgLS5hZQSJkSSpIEkEcSKJEkEcS8LYOS9RLIhiSxRBGKdEsSGqEEcYV58O3MMc3LGkE8MgjJHJgOt3rfLLP77Cm2/WnDxnOXT0qdoN1277yDMvXPwPTi5u+fiHPvqR9Mfe88Pf2QB/4lkpHzWD7z985ux//fAXj9WMFfQTIKjxuQc3EIeSd72my7tf22emndKTBi3TTGc7PexpjRdrAq0YeY5pQk8S+YIoFu7ixIo4gSiWzkFIStsvSQ1p6tyF1GZOSVGQJTIp5GSPrwWBL6kFkmZd0G5YpluGTbMhG2Z6JHaNj31D8qEvzLGxVuPanYKdWzwu2mrYtWWVTz5kWVmpccVmxUwbWo2YhWOS86sB/sUQxoINU5LpaTh41LLaNZxbqnHZRTXuuLHHnffVmGtB4PsoOc01uwXvfct5PHmez94/wwuna2zqxmycTphqKlp1RaMuqQeawIfAA62dw1S4UTnIcTd2aiBNBUlKBnSIU0uUQBynjhRiQ5S/xiazHXNXJrMgEydJ+rGgm0h6sSEaRUwFXb7vTcu8+/Y+r7seukOPqdaA975jlcHwXO3wef37t13Z1J7n/ymOZ74zAf7UI18gSdIf/dxXXvj3Dz96qj3rN+hFAqlhZBURLb70qOKh52ucXV3mf33ngJl2QhjU6A5qaOXjaQ9Pe/hRSuRp/MhJkyh2qXTHOMIxUcZKSQJxCmnqnARjbFZtaPMezgzcDuAucBV42gGkFkCjZmjVE6ZbCRumh8zPrPHAvoiP3FVn/9FpLpry2L0Ztm/22b4JLt/ZZZB0eWRvm7ry2DCjmG7BdCtkZirB9zVCuJtrGPqsdGPWBpZOP+H8qs/OzS1edsV57np0wP7TbRpBjKd8hJhi9zbFD79uiZsuP89H7mrxyHPTLPc1G9sJ042ERk1SrykCTxB4Es9zsYpSZPahQ7nF9bAaQwH0JDXZ6pZZi4khSR24kxiixJbP2Lkyo8SRyiAWdBNBL4HRKMEkQ+bqXX7me1b4pz/QpxH4dLoNwtgnTRXGNIhjH52cax84NPOfjX+F/9E//dyH3vMDb/vOA/i+Ez1A/UT/9Ed+dcfcoblLNio8YVgbCgaJoJ8IekIzlA3WQs2//wuPvYdXedur+tx+fY9N8xG9bp1hGOB7CYHvEUaawHf2Xg7wOJZEiVt24yTztFMy64+MuSXGUoLbJSkz5gatXMLE9yw131CvJbRqCTPtkC3zXRY6A37nMx5femyWldUml24Q7Nwo2LbRZ/tGwcVbR2h/jT+7V3PkZJM9myQzLclUM0XKkNOLlkBnWVkriGLNro1dHiWlO1Csdi0LK3X2bK/xzts7fPxrPscWAjwdI4SHsU3iRHLjxavs+oEuX3piwB9/aZbHjzXZNiOYb6Y0ayk1XxB4At9zsYpWuMBZiiIXbHE3mbE4pyV1gM9BnqRO0jmwQ5S6WpcoTx4lgmECvUTSS2AYGdJByPb5Hq++YZXvetWAN99s0KLB6lqNMHbZ1SjWhJFHt1/j1Pk6dz50cu6mm2bf989+5p3qh75/8QNCbPjOAXi/16EWqH/44Y/f96uPPvHsRqKQtUEDrSwNH6R06W9fCvpS0pM1OpHmz75e455netxwRZcfeN2At9zSYW46YDgKGIY+gecRJe5k5YFSkijiVJIkkjgVJIkkTUVWI55pbSMoVInNM6IuWaSyZJHvGQI/pR4ktOoh89N9hvGQrz1r+fOvT/HIc9PM+B7XbLNsmZVsmvPZukGyfVPEJdtWeebYkM98YwNTSrNhStBuCtqNmM4g5QsP1Wj5zh0yFoah5m23hXz+YVcT0+kbzq9qtm9s8faX93lkX4+9B32aQYKSwoHcNBhFTuv/8B0d9mw5z5/d0+XBF6Y5sVpnc1swVbM0fENNG3wPtBIoSZYgc987Lz8ymVQzplzhkgzojiAgTgVxmgE7Fc4CTAT9FBfzRBHN+oC3v2GF739dlxv3pGya8RiOmnT7PlHsE8WOmKJYE8aaOJHMtGNuvHLA1ubjG08c3P6rs1tfa9Y6vQ9OT7W+vQFu0xW+9ljI+Y79keefffA3Hn/463P7DkVEaR1PupRy4LkLrQTozLkIJPSkx8BTnOoGnHm4wcPP9vn4tT3edceQN942YnbaJwoDwsQjij3iRBNnQE9SRZJmCZu0BLixGXObsqZMiOzvS1fHobXB91ICP6YeRLTqQ1KGfPUJyZ/cPc1zR6cQccBFM5Yt05b5acWGWZ/N85KtG2J2bu5ycrHH736uSRLW2b5dMN3StJvQbsQIL6I7bDLdsgghsBbiRDIbKBKT0It9eoOU1a7i9GKdqy5p8VN/f433/WnA8cUmWsXZjaFJkhqjSLJ5LuDGS7tce0mf54+f5s+/Xueux6c506nTDBQtH5qexdcWT4HOzr0Q49V1BrDG3XSpEaQWktQ1j8SpIEpdkmiYCoYpDBNLkiSYOGSuNuRNr13je1/b45XXxEzVPaK4yWonIIx94kRnzK2I42zVTVxzSuBZXnqZT39o+drX7t94zY3qN25+6Y2JtYf+6NTZDezYOv3tCfAk7vHaW2rf9dijj/32/fd9vR2HPTbPevSGppALrpYkY1Bp0anFkwJfGeqpYKB8BonmfFjjsw83ufe5AS/9Sp//7Xt6XLmzy8ZpRbuhHTskHklSgjzNAW4kxkqsdZKg7PDJUv3KuiBWJwR+gqciusOYxW7Mf/pkjaPnZ3hi7zTW+MzVBRvnLfNTgrm2Ym7aY9OcZPNcwrYNA+amV/nSk4bHX5jm2u2CmZak1ZC0G4ZmPUJ4IUGg0cr9fWshTSXDUDMcxSRG0Bsaen3LStfj3HKbWy/v87Kr1vizr9Soryi0jB0grSZJfaJYMgw95qdr3LS7z02X9nn01Wc4vij5yF3TnF9rcGo5wFeSpifwcxkm3bkviDyXKjgmT6wgMRAbQZjCKIHIWEgTSGKkCtk6M+TaXe563HxlSruuSZImnZ4DdpIB262wOpONDtxxXGaNk9Sn21csrg6475575tZ6+rcvuezG1SgafOZvE5N/awC/896nube7Qw2++tuX2uHh9va5iOGgTpLEgAtQnL4TqMRm4AadCjxl8RNLLRU0lGCoBAMdMEw9lqM6dz0+xQMvDGkGIf/gzR22zyVctHXIrVf30ELRamiEcHLFZSVdrbS1FebGIqRFCeeZWxKQCc8flTy2T3PnIy2eP9EiShq0tGJD3TLbtMw0rPPB25rZKc3ctGDzbMLWDUO2bFjl3udC3n/nRrZMaza0od1UtJuCViOhHoQ8cEAxijRe04HKWkGUSGpacf2eIQ8/O+0Kn4Ypa12PpbWAhaUZfuotC5xaWubhpzbgSUDEGCgAFEaS/lAz06ox3W7ysj0DXn3tgB94zSL7Tho+/0iNR/bVOXCkSSI0YagYxApVlD5UA88sJ2ANibFYY/BEypQfUSPmZTf0uXjLiO3zMe95Y0jdlzTrHlHUoNPzs5VUZ4SjCq/dPeXYM0ldnBRGgsHITcx9fP8qL5z5YvuOV+699Afe8b8oax5Mhbzt2wfgzz63l2uu2ul/7isP/NiXHgr+/VNP97lqh4cvDVq5oEcIg0xEob9VgpMIqUUn4EmBZyxBaqkpQSMVhAZGqccw9RikNXq9lN/4sxlsErNpw4irdo6Ym0p41x1Ddm6MiGOR6W1XjVgYJpn+lNIgpOAT99R55nAToTXHzzQ4vdCgVldMBYLppqVdM7Rr0KoLphqKdksx09LMTcP8dMKmuRHbNnZJ7Rqf+EabYb/JZdst7Yai1ZC06oZWLcHzIr70cI1wIPE2gszAFCeSZl3xppcOue9JQz+U9Icp3YFmrac5t9zgyotbvOuVXZ54vsHxlRZKGiDO9LJHnCrC2CVm+iNNp+/Tqjdo1kOu3D7ilstHnDzf4djZNbSX8vQRzce/3kAoV7jG5PxBawAD1hJHKbs2JXzvHUPm2ymX77JsmoM08QijFknisdr1SGJFnOosDnKAzgHuYqIc1FUDQBLHojADPE9wy9WCqy89zfXXbvn3i6fvHZzpvPxDRw7vjS7ZfeW3B8DXlk/w9JOLe/rLJ37n5P4n5Yzv0+1JphoGKcBTAoFECouWkGQp+MQIdOJ0YpxavNRpwEBbaqklSQWRsUSpIDSSMJVExiM2sNhv8/VnDJaUTz8SI0TqLpJ1Fwkys8R5gVlti0QqRRJrpNF4WtIK4OINlqZnaASGRgCNQNCsS1p1J4emWpKZNsxNJWyYCdm6oUfKKv/pL2vc/+xGds/BTCNj74akVU9o1COajSH1eoNASZTMNDhODsSxx2goGIYpvVDRHxl6Q+Na5po+pxameMVVIT/77gV+8+OaE2sBQhisjTGpJU48olgyCl0Za2uoadZ8GvUajaBBLYhp1SNuvCzC92JuvizhPa8doFWSJYEMQthxUZ5JOmMkQkgCTwE+o1CzvKpd3U6axzzZM5FlDJQxdA7uHNh5YinJgtb8fWqdNTvdCuh25vjyVw/K6c2bfqfRfuAbZ5LRc38b2Px/DfD3/9FHeOZYv16z+97B4Li48Yo6K103XiG/oK45wTkWSWKRyqJSUKnThkkKOnW9j0ke0adZVJ9H9kaUn40gMpLESlKjiU1Amtle1UeRpRSghXCZSgW1uqWmLTWVEngQaKj5lnogqPuSRl3SqGkH8KZgumWYbSfMTYdsnO2zdeMy77/T8Md3bWLHtGK+ZWg3Fa2GotmARj2lVY85u2w4fDag5rsbGvJKP8Eo0ly82bB5fkR35DMc2YzFJWs9Tateo9WY5j2vPc+Rs+f4/c9sQ0uNxZCalMRY4kQTRoph5IqiBjVJY6SpBx71IKXTczGG76UuYealaOkaJaR06XyRPV3piivhdCAXdExWZWlcXJOmEmMkiSnjnSQVlQA/f195TUT28wzcqUsyxVkwi4XzK4qzS4rzyzH9Zx4Vb3zNmXe8/pVbDz/16PuH17/0vd9agO8/3fYb3uovXDp36Be2bezIJJ5HSslgZAtvNc0AnpqsljsVpJk8SQzo1AWgaZ58MDb7bIufle/LSjnn5YoiUKpqbiALZl1gpaVBS7KaFreqeNo631gLaoGk5kvqgaJeU7TqklbDMtVMmW4lzLZD5mcG7Ny0zCMHQv7snq3M1AI2tQzthnDgrkuaNUOzltBqhDyyH57e1+DSDTbTvWXafBgqbr7cctnOIY8+N80gtAxHKf2hzkDu0ajVqdem+b5XrfD0gfM8vHczWIUxqSuHTSxJbIt6kmGoaYws9Zqi5hsC3yPwUwJt0DrF0y47rJTJithcaTDCIij1XBmcuxJikztSJrdfK1ZsDmyTsXLxmQLY+dMRWPaaX++sjGIYGpbWUg6fG8kt20/+Xy+9xvev293+FSD6lgJ8deGQv5SMfnL55IL/jtt9pLQEfh5MiTGQp8YBW+U/UxZtsvfGNdCalOJ9mmfcbJ55s5gsE5cnK6y1VDLvYytu7tbkCR0ls4ylolK05bJ/ga+oBYp6IGjUBa26pd1ImWomTLdC5qaGbN2wysP7h/zyH27ixKlpLpk3TDegXVc064pmDZq1lHotxvdGdEauWMxTFinLI3MugiROfNr1mEFiGGR11oNRSm8g6dQVjV5ALWhx0eaYf/NjHf7VhyUP7d2ERWGsIU0NSZoQJYYoVowixTCQ1ENFzZcEviXwFYE2eJ7z+7WyWZ1PtqpmMkUIO96gm6X2bUYiNqtlSTPAp6Z8dWQks1dRAjx7n2bSswrqtOq5J4YwTDHGkEpNwHn/3LnNP9fe/B5vdW30L2ama3/jdP7fGOAHT3Wx1vy7Rx74yMv2PnVi/uTCRh55Dlf2Ki2eFpnfLEilIFE5kC1GOnCnGbhN/t4IjLFFGtkUHi1YY10XeVYCWn0yAfBMdmeBpZMorqbcSSKdtaJ5WhL4Et9T1AI3kqEeWJo1Q6uR0m7ETLUiZttDtm5Y4+F9A/7Vh+bZf2KWXbPOYWnVJc2GdOxdtzRqKY1aTJxGfPQrLaRSLgcgSpvQ2HwJ9/jhN6zy5ccjelHAIAN4f6jo9RWdQFPzAwKvzeU7Ev7tjy/zLz8kePC5TRgrSY1Lq8eJKzQLI0NYc+WuQSCoeYLAd0G+r22RsdXKOJkoy7LkAuBlyhPISASXS3BuSxbI5wDOpg6YIrlGxu4UK24J6Bzgtnh1dUKOuBo1xS17PGbqm/jc15ZrN3a/8n9899teK6xd/udC/M06gv7GAF88ewRrza379y28rlFTXLJNOy/VuJPm6RJgqQRlHNDTIj2cgzuXH+5npqiVKNuvHNCFq6PIQZ2f+InjKns3szoTSVlMldWRO4BLPE+6+g1fUAvczJNGkNKsO3C3mxHT7SEbpjs8sm/AL39wluePz7N9RjDXrEiTmqZZc/Ur9VpCPYjwvJDTyzN4SqCkyWy5MshMU0mSKLbMWJIkphvXsk4Zw3CU0htJ6gNFzffwvRqenuKK7Qn/9h8u8ot/AA+/sJHUSAfw1BInacbkhjAw1CLJyFeFBPM88HTmXCnpcgEyi4+Eq8PPF5kJjDu5QpYUQhTJIZMlh/JscZpWfm5KyZlWgG1Meb2rOLAGR0DA0VOKYZRw5tgz9WOHL32ZkH/zHSf+mwEeJhYhaHrsDz79sY97GxpDrHWsXX0Y45ghTQVp1hSbpvlnx9SppviS48DOZYgtgG5zOZK/f5Hjk6IsopISpBQFuJWUWaNELk+g5kHgG+o1Sz1w+rlRj2k3IqabQ+ZnOjx+cMS//MAMzx7fwNZpxYamYaouaNUkjZqiURfUa+7mcKn+iIf3Cvojn5oiu8myNjxbBppxomnWFLde3eOR59sMYrJG3pTBUNELFIGv8D0/08/TXLnD8Gs/eZ6f/z14cO9GYiOJjcmapcsezNCXBL5x7O2VdfRa5U8ymVLKOJlledcDeZ4UsjnAM8CnhfPCuiuvyWIpk4M6B7al+JnJPgPESQqkCAHP7O1x4OSd/p4b39j4jd+7c/DPfuqt//0B3ulFSOn93OLpEz+3a/NJ3dSW1W6NUayyjpUs8MuXJ5XdtTnQVX4SsnmCSqzP2hVAmwLYZVMwmfYuLoZwBUVCZuDOioxUAXBQWcWgp8H3cJ1AflZgFaTUM3nRqodMtYbMtLo8dSjkX35ghqePbWTztGZDwzBVh2ZN0KwrGnVFo2DvlFqQ0GqMuPdpn7VOjZmZMk2eA8Zk2jROFRvnFK99SZ97HzOuiyYyFZBLap6k5mk87aN1HSkNV+6w/OpPnufnf8/y4P6NxEYTZxWAruzVMXkQy6K60NcSrbMiLClQOj83FMeX34S5VBF5VRplQmjyaSqvxlRei5W3BLcpgM7Y55zV89qYJHUNFUsdi272XnXVtfv+4J++9+//9D9977NrQlz73xfgX73vCXzPr33x7vtrd1x9jBt3t9F6lrVewCiSzhbKtVnq7vDUiExnUwA/v+PzGyItZAgFe48FkpPMnSE9z8gV2lvmFXSl7s4rBrXC1Wdoi+e5xuKab6j5KfVaQqMW06yFtBojZqc6PHEg5Bd+b56njmxi47THxkbKVMNm4M7YuyapB479a0FCI4hITEgvChBK4uUMXmhwkbFb5hfHHk1/5MoFohozOchHKQPfMXjgS1cTr/MNaC3XXGR5308v8H/+V8OD+zYRG02YCqLUZCwuqMWGwLP4nutd1VncoZUrEVZSZucn68rPXyuFWcWNWY11JsBdkFCFmKrgLkBsy/fVGyAtWN45aGEMawM4tmrZM32Eq7fb7x+s7TmcJNEv/ndl8PMLp9mwceuu3/4vH7jq5JEuHz25ifrbemyaSgm8FCzEUmbLkCBVohI4Vli9UpOcj0azeTBpy0CsZIoyK2mra2bO2tWgMl9usw4dlQVTWmedQVkRUl49WPPSTDfH1GshM+0BU80eD+9N+Ofvn+fJI5vYMKXZUE+ZqllaGbjrNWcn5uCuByk1P6HdjNh7zHLPE018KfGUyYK40qPIl+84VSRGc/uNMZde0ufwiTobGpR9jmHKYJSxsFZo7WXtfM67vnoX/Np7l/jF3zN84/kNjOK6S4YllkZWwx14rsDN1/nqZYreVqnSYoVTUlQALiog5wK9UoLcjgO8qFAsV971VuYS3IwxeprlPlxLnOCqiwb8wzdr+ssJ99y779pXvu5Hd504eer4zh3b//YB3lk9T6MxddHBfY/9x+nG4LuuuyhhtT/LkVMN2oGznDzPIArdbcftJGsxaS5HxAVLWu4P28LTnnBJLnBLMuaeBLewSJXbglnNi8pYW1t8bfA8Q+AZAj+h5ifUgohGLWR2asBqb8B9z8Gv/clmnjk0z3wG7um6pVUXNGui8Mqd82Ice/sO4PUgJEpTRsMaNeVuMinEWCVfnkhxgaZ2Wl6HhJFlGIsKwA2+n+J7Gs+TbqqA9AqAI+C6iwW/9tOr/MafJjy4b44znTajpmQ6tbQSSy2bOBB4NvP+cyfFFuydS5Uc4MXxZgddxXmhELOLkq+qJbjHJaWr5qyAfQzoJXPnBkX+ueFb9mz0OHd+mmf2w8zc8nfVpx5Ob7j+hv/j2PGFYxft2vS3C/DTZ/ajdP2WtaWn3tFWL3DV7gYgmGr6JGniakwwSGGdW5IB21StJDWu0d1ybbMTIConZlzzlY9xVZhfBDfuIWfvshu/HA7kymI9bbIxE2kB7sDPwD3bZ3F1yK9+tMFnHtrAUn+GDVOSDbUM3DWnuxtZYFkPJI3AZgzutHctiICIu5/yWY195gLG6rER4ytUmrrmh3agueOGAQ/vj+jFAVNFx7rBD12tuq8dwLVyDdlCugQNFq7YIfnN/63L5x8e8isf3MSppRmG05ppX9BKDI0EgtiNXvaVG2jk5YGmFEUQnL9WA/XqjSlE0StSXB+YkJBVYFfiJ1MBfzWPUeY3xgNUreDI6RqLqyCIOfv0fqw/8465Dd5Hu73Rsb9VBl9aGTA3U7/szz/79X+899kHeevNAzZGMAgVCIuWjk3cCDGBqjQapFkGLAd0obULUOcSxJY21CRrV2VJdqJzZsnTzbkLoHKAK3dcWue9na6/0/dSfC+h5scEfkyrPkTrAfc+nfIHX2hz5/0biUybjW3BfM3JEmcB5j65yp4iY+4qe8doHfLAC9MMIs2WRn48kwyeB9mulLTmKV525ZDEOIAPY+G61vPO9dC44FBns2Eye09kyXWLYH5a8P2v6dMKzvDBLwy574U5zsV1BjVJO7E0tXUg11kcomwWl9gM5Pk5FGXtuARJyeKTOwoWUiUfUcGkNq92D5W15zmjp+sFp5n36+xHwzAyDELJWghp/BCy9zii/2Ie2t8A4DZ5jq/dfR8b51tbV84de/Xqao96Y8BsG1Z7NVefYMv0rjGV9K6pSpKSvcfkSP7/JUsmjAG7Yj1U7SthJ6RJnpVzFYNutJvJar4zcCtXixF4Mb4fU/MiGo0Rvj/gT+7S/PofbeTw4ixeUGNzSzAbpLQDSzOAZtZhXw9ctrOWJYRc/UqarQROnix1U/qRj68UvrRFgEnlq+Q3dl67ESUedW/E5ukha4MWw1hk49ZcrOB5aWbzqczuVA7gY4Grq3z8rlf2ufmqRX7tIyP++EsbWEmaDAKPpidpa1eDE2jwFUUzhM6TPsUcGlFkgUUxiImKXKmKlSrQGVuBzRirV7X5xLNiNowHrk62LA4kombp9Xo8s+8l/yoRV+99/+/e/OwNr7idW6677P8dwOPE8NrXX3HR6sJz779x8R5ecVmPbXMjhqELJqPYI0nzOdpyDODWjksUa8r6huKGKE6IqEgSMSFNcnDbkk2y7JusAlxaVDZ6omTuNAN5gq+dJAn8kMAbcmwh4fc/3+RT35jjyMIM7YbHbA1mgpRWYLPUew5umYFbFkmhWqa9A9/dOO1myCcf0Bw8XqeWTeAq2sUoUV6McbBOh8eJ5opd8Nabe/zBF+foNzTtbPZIEGVxgzJoLbOxdVRA7lXYyK0KO+cl//yHBlx78Sl+785ZjpybYiWpM/A0TSVoZED3s4yzl7lMxeqXn9fcPsTp8zLTaS/0yXNiyksnCt/8Qkux6CKy46Au64vc+YkMDBPBSmyJB5aPfKXOxVsXrv1HP3zrx17+mpvfvLLW+yulyjcFuLUxoHnyqce23//Iyd1/eqdh44Ym/+z7Blyzc0iaupNcdNMUoJbFOLTSJREFoHPw2yp7W1GwQMkKOW3bMR2YA9u92rJaUZrMNcnZO8XTievc0QlBEOLrkF4a8Tsf8/ng5zdzenkao+rMTilmfcuUb2hkzN0o0vcyq1PJpEnmnRfg9l32MowjDp4K6EcBM0Hm4uRJp9yVyLOwtlKTEmvaTc3F2yNUMKIXtRj6gnpsCXOA6zRL1CjnY8u8BHi94FWxYWrAT33XgHfcfo4Pfr7L739ijqVhk6GuUdOKhhbUlSVIrGNz6aSKlmV5Q57lvIDJWUeuTDoswFgslYO3QmQ5yPNzkX9Oi4pR6MSS/iji5ktW+CfvHtEMurS8A7uj7tT2l15747FuP6HdfHEYf1OAHzu5QK3e3KC0/7GlUwe8TY1p9h6q8fALXa67eITvxa4cVlhS6UopHaDNOIvnxTp2AtgZ4EvGFth1j8RW7EBbAHtMnsisSk6lDuA6RasU34up+RG+F9EZRTzwjORP7mrziW/MMUpb+L7PnC+Y9g1N39IIXGN0Du5aIAkCSZBJE5cYypyJDOC+5zKfR89a7nu8QRR7BE17QYCZP8p0tiODKFZ4nua1N/f4s6/22X+qybDmRjOEnsVPwIsNXmRQSjrfWgqkkOVwH8rzmRpJYiSNQLNpesj/+X0DrtwZ8sd3tXhs7xSLwyYj5eN5mpoW1CUE+YCl3F6V1uUTBBWQj9esTBZnVRk9J6hJRyz/XGpuUWrxrNYlsQ7gwxQ3Q8fG3HJFzNU7pth7dBOPP3fA++EfueVjcbT8kiQcLP6NGXzz7Ix86OmDt3zl3numds5HaFXj9hsHvOlmSFIPhBuCKYRFmQzgGYOPgXtClhTPHNiZRKky+Fjhj+vRcUxepJRNUe7pdLdFq9QBXKWFHNE6ptOPuf85wR9+sc1dT0yx0mkh6zVadcW0Z2n7hoZnafiWuk/G2o6564Gk5itqvqDmk1XomQzchsBz+lvpkAOn4HSn5hIrmb4dT5yU9TOuD9KBPDGSKNJsagsu2zHk2RMJg9gjzGZ8+xEOfCqfrJsnakBOdObkN09uQ8apqw//3tcOeeNLV/nakz0+/KU2j+1ts9xr0JE+fV/jKzflIJC4Hk5p0SKPa7IeWpGV/a7D4BfUr0wyeYXQDJXA0wpSslqVDOCxgdjCyLjfIX0+/8g8Mq5T9yTnVkYcP3jX1HTzDbe0Z6/6It9keNA3BfjS8rlg07T9ry2z0BRortkdsmFGUPNahNHAAU250QYma/TNAV4F99h7k+vQCsArJ2SMF8akiR0r0HeyxGSa26Bk6gbi526GjFnsJdz7uOYL97f4zH1TnO82EbUaXsujrWHKc508dY9MdkDdF9lTZiWnme72BUHO3jnAdYLvJ9T8CGtj7n4i4PjZOvOzAk+aTMeKstG3wna2YqGmqWIYeuzaJHjtDQM+9VBEP/YYxoKa5/pV/WyyVLlKqcKvdnPUKc+rFa4vNW9UMM5vrwch3/uaIa+/eZlPf6PH5+9vcO8zLc53GgyFz9DXaE+hhXAthFLiZV1YSlgUoiINx+3Ddch8zAUrmVsUAWiuwVOLY22bNT4Xv8tcM+3RG3k8ui9lUztkfkrywKNrzY3b5X/tjU5fCQz/mwG+3LWkyegHo4UHp19/8wmk0CidUvNDtIpRwiBV1pKBKNjbWjkmS/LP+c/GLgK43sl1agLHAsoKsIUwmR1oEBnAtU7xdUytFjMKU/afhmNnFH/+lSm++Fib86tN8GrotkdDSVqepaUNdc9S96DmOXDXPDeT0JWZyspTZL+3GchNAXLfc+1ph88Ynj0agOdly7ytpOjFGAqqQZirlxYkqRvnfM3FIVdt77PvdINhTdBIBEFsCRWZtWcy9s7dlNyCLLVK4bNnVqQxKps+4DGKPOr1kB99U8jbbl3jy4/3+YuvNjh2psa+0w2itYAk0Iy0Rio31VcBOnvNmbyQLpTB/wWPwk0pQW2oyBJy1s5/5wrtCtFezNdThEZwuiNZG1mOLMGjh5aY3/EkczONb8bRLw7wXndNRHH8sx+/64Xp+WaPq3eG3HhZjKedNWatIcl27AVZkSKyYBB7wc9yKVIFd+WWH2MEW9F8LqnhJInJdnlICQI3STVJU84tw1e+rjl8qs49j9Q5vVrn8JkmBAGqoalpRVNbmto4F8Fzg/NrnhvX5kCcP2X2VBnAyTR3Bm4vJfAce7sbK+LoIuw91sCT4/ZgIVEo68ELRyF3UkzW15h4XLVryGUbBzx3JGGQeLRiQajBT1yNhqoAXEqBkHKMyWHSfhNFMJv3UcapR+j5tOsRP/yGkFde2+X0ape7H/U5cjLgy080OLNcIx16GKmJfYWQ0q0UWVe+JMt4QiFb1gP5WKBJNUuduy25RjUXPvNWukTS62uGAXheyk2XDbl6R8x87fH5v3fH//qPB91T72u0t68bvr0owB998C7iOOXJpzocOreBWmvInm1dbn9Jl6svCtkyY9h9cYJGYGKZDXZUmfaWFVDnUiQDdoXFc7YePzJbidhL1i6kiErxgpQ4tRw5KXj2iOIrjzR47qjPC0frdMOAMArA81Ftj0AJGgoa2lCv+MCBzus08rJZVxceZLLE9xW+L7MbwJba20tdZtFzOr/mx1gTsbAiCW2A1hJfWnTFZpsg8ALkacVxSjM/XKDZMBsh1Yh+7DHQwjkdcVkwppUZy0BKUYli82FHCKyRJZNXBiN5qSrGTwxCn80zETs3xdx4ScgwGvIPjnZ47pjPVx6u8ezRGkdO1IgTBYHCSgVCkspKNqhIUqyjVcbEee4D56+m8lp9ZoCPDVpYdl8cs3Um5YqLYl7xEsPuzZqG3+bUubR57/1Pfr8Q6n3/TQz+nz74WU6vDVQ9OSK2z0lWO5rDC9M8c7TFVx5rMSX77Nw64prLQ95wc8gdN0RgwdMJ9abNdLYEI0hiN6ckDyTHGLx6y1sHaLL5JZ62IAxCWuLIMhg5Rj92SvKndwUMYsVTL9Q4dDJgqe8Tpj5oH5SHait8KagraChLTeHGmams8Eg51vY94ZIeVXB7Ej+TJYEPgU/mmriUuacNvpdkGdGYei3i/GrKVx5s0ekFzEwJdObF50Vf4sWYzVQCQiMJQ8X8nOKNt4748mNDTnSaDD3pZIoGL7F4ce5ZZx67TJ1dSHXWiSz+hrF6rGQiTSV+qki1IvHc2Ic49pyV6sU0/ZhXXpPwsitD3v7qEQdOSp7e6zGMFH/8lQZHz3kgJIOhJo1UXr6J1TnAJyyjavp2DOCANYjUIozFZsCuNxNX04ThjhtC3nBTyNWXR+zaYqkLn5pustKZ4vjZWY6drdE9vk+8+627VOfsXyRTW773rwdwKQXWNn7nL+5evm5WJ2yYcsPkEzTn+1MsRh5HV4Y8+FzKx74Ws2EmxhrLDXsivvd1I9eSlMKGKcP110Q0a7mkEkUO7MJrLorhPJ2B4OlnNMtdSb0meWSvx+e+4WrOR7Hi7DkfIzSx9TDCA60RgUZLia8ENWmpZcAOlCVQrsPI15nnq0vm9vO+zALcKuvRFAV7+57B9/MCrbRgb9+PUSri608qPvVQC+VrZ7eN6e8XZ/Dc/03T3PFQjEYeb7ttyGce6PLHd0/RT2o0Mx3u5To8zpMytugWEkIWAHN/Sla0fgXgJhvtoB2Te1qRaI1OUgd0laKUG6Q/U0u47fKEWy+PsSLkXa8ZMIrdOLfPfiPg0b0+9UCw1FU8/ZxPdyAzlSR4UVFe7DzhWgOvvz5mfjp1TRCp4XtfN+L6y2KsgQ3TlpkZUEaRmIDRqM5Kp83CSoultYB2I+GWa09ft2njlb9jDD/112Jwa9eAqfaXvvTZy09d5Klo5DYKXViLXXChFYYAkwpCE7PQ8VhYdUNjDpwwfO7rbpmxqWVqxnDLdRGtuqsDXjc9Wb3VM9dhra947FmfbkchtXQzUax2zCS0622SGqRGSoknhQOztATS4EsHBF+Br8oZfQ7komx40K4RIG88roLbMXxWVuvlDJ5WngmBjrE24vSSTxTWCKYkfpb2VllV3lgWU1CSV8U6LbrTjSKKPWZaih3zEb4YMUwChomgrt0QzLyGJE9oKVktb5XF33J/I0+2mTJ7akzWM1lKoyRJs7yByuayJ8RJiopdLkGrFCkTts+bbMUwXLlzRGSHSG3odASPPatZG0hUoVjGg+qxK50VYzVrhpddFzM1Y7CJW9nrCpQrn8MYRRorwlQRJz5h7GGsG9h/fkWx3LGs9WdVh+Dyl9z699sHjg26ey4aDzovAPiZs0sIufa+ufrzr7njhiWGYcBgFLMwGPHIqTapFA5cCJCq1E0YEmvo5EuQMnTXLGe/3qx8xfUAXtVv2cURApNvuUBWcypUGeRImVlZOaiztLMk27g1940rrzrrpFdkW+9RgNu1dSn8DNy+pigxdQyesbg2+Fl21PNigiDm5JLhI19ugvbdjEVZSfCMgW+cyHJ2zYeEOrC5wTpR7PGeNw759L1DXlho0U89GonblNZVAdqyE0flOYFqsJeXLuZSSFYKvPKnKWphtFZ4qZuX4mVAV7JMmrm68ey9MNngoBQtLMKmzDcMf+8VBkSayUxA5PtnrHPNixojAUaRxg5P1jpJG9vSkTPZKL7UONhPNwc8tqr42pM+w4Hbi/Qlywdec821J96nSf/RX8ng7/u9rwLSr3GUl+45x7W7JYmJ+PwTmiisuY0jRZ6ek+toK1N+VpbUq4B7XXzn7JYDfDx4EVIWLWhKgCdcWjnIqhg96T5rSVZTkXWP54VEmsocFLKd2cqu+hLgspAtgW+LljbfN5XBOQlext6+jpEy4vg5wWK3htCaQDImT2T1a1Uud1U6jAEvczqixGOuHbJr85B950KGqWaUQpAKvNTiJZkOTyicpTKFrsY6FfLYzuUo8q4qUZFGBp0aUiVROt++XGXFailSmWylMKU1m4Fc5H8bNyVLSFu4XjnQcwdsPYCXyb0yLrP50FSqWe9sFzxhaTVG9OKQR44F2Fhz+a4Bl2/fT7L6Wd+kF+Z7LpQovbNIIXjiSIOP3TPLW246T6dn+YtvtMATRWOBu1xqoqTVFqWTJai/mSwh68qpFNYLgaRMERdjloXFExloMwmQvy9+lpF9WQpK0WDrK+HAPgZu6V79HOh58JmBO+/+0aaQKJ52+tT3YxJiPv9AnYXFOt6Uwq/WcFQdFCYU6VjFnJgIAhWj0E2wfcvL+zzwzIhuUmOgNfXEEGXpdCXLgqi84EwIQ9k5lAeaorAlnXWYzVSxFB1X2ggSJdCpzHaxc7U8SQb0MplmigSblKaSeMveyyq4M5u38LJf5PpXCu0oTIjJRGAWVQjDKJK869VDhDjGWk/zmmsDFpdneOyplXULPcYAHi//JboWvOLxhx+7+cjRHr/6CcFvf3wTVilE3Ud7Cj8DXH68uR1vqncdf/XGK4UgyZMFAlT+KiwaCqtNZSljN9+k1LgqB3Y+0DOTJ1VgF3NQFK4fcT2A5wFnrrt1LktsprfHa8l9L8b3Is51DE8cqoP2s4H+tkjPFwzOOIvnzFX6wNW+VFl44nHsccOlIXPTQzqrDQaJoqHAS9x3UakboKTiKsBxIC/+UJUNM9AYW1Z9KkNqBJ4RpEqSKkOqBEkG8mrxWl4OkW8UJiugzksmBCYDOVlJc56JLpN2Y8UYY/UrVTavHHPRuWWRwn0f3xf8yOtDpBpyz5MNfvuTHjMz/s233PbyV/zG+798/z977xvXB/jBMzFK8fcWemvX2+AMzeY0uj2N1trpW+HqE8TEklPMzaAk7EoeqgR1Zp9UzaT8Ls+zYiU4bMHgkyWcOq+NyGrA81JP11ycd6o4WaKK7pUS2HnzrWPvTHNrCr2dW4KOsUtwe0V1Yowg5s5vBDzwXAsZaHwp3PztooKwbKMrK/4ms5lZaXHB4k5rpkYxHHncevWQt76yx+/f2SJKA/qppJZawoRs5apW/ZlMzpmJG+rFmByMllmLmCjAnSq3rWOihMteqrLWJwd6WQNkS5CPZZtzJs8X6YpMFReSeXXkXrVko1z8RfH/lUITJT6jsIbvxfTDkG50kp3Ttes3zaz+vSiO71+XwU+eOs30VOuNf/Hpu37ojz8TcX5tE2uDgM0N6Xzd7ECtzf9ceT9WN3aqKpIc9NVLW527kYM7B4CsgCL/ew7I5WiDnLndFiT5ZzIGp2jDGmPxrBvGU+PgduMUJpg769n0s/Y2T+cNB0nlGRMR8xd3t0ltgCqyl9UAs+xrzJ2NMQ3ORLuekW46VJoHmxqBx/feMeCjnw9ZMzHDtMYwFXgJBYtLad1Y6qzozNmFk+unrFiTYqzmOtXZKAeVgVxblHFyxY3ZcxWMLnssi9Lk0qKsVneWZcxFU0oB9FKqXAjwMRp0n4v4dCLbnWM9u8Eu2ZTwr3/MEKfn2bA1/KHdV7zpnqXFM1+e37B1HOBhlDAYRpcOeqPd4VpELa0TBBaCfG/JctilWzrKhtPqUvNXKG73pXMmr8iTAugT5ZnV3SCqmjMHfXW2h1Ki1OJZxd3YsJsM2G5mecUuzJjb8/LGZJsxdxlg6gp7B17EE4ckB8/UsMpDSelmoU/WaVQE+KSLkj+LTqdKo0juqMSJx+6tMVdd0uehA3Vi5TNMBDUJXmrRicjkW9aFk2Q6HOnkwtifFBUWFxVpVI7yyGdCamWKGZIqk34luPNaIJuVCeRMTrF6iAq4EfnErPXZe71H3ohXLelwrWwiy5iLbFScCz4Vkk7fEA6j3SYdXWpM9OULGHx1ZYUwHJHEIzbPuoBsFMIw3xQ0ySaDVidNXcDY4psedsHcVSafBHoF3Kqo+S5tt1KyCNc9L0pwuyBTFN3iugC3HAN4dfiP67anAHaRrSyYO8XXLrHjuoJiLDEfv7vB8nIdEWjnu1dvwskalJKcxizCvPm2WsddeNPG7W0zPyt592t7PHGoTZjWGCifeuq0eF7OqiQZuPO1wmSeeDUakuPa1mbjPCamUrmnRJl8RbLFe1lsq55pcJnvd5RLE1k2R0wy+ETTSpnuu7DQbgxThbtS9rEmqcwm6iqGoXK7M4cJzbmQztoKcTwq/v8FwB996MtIKQm7HS7Z3iSKLf1RSref0pMWEbqpSUneUFxh74pA+ebsnf2jlCcTr1VAV1l8bLxYydiyyuBKVFg8lysSpccB7utsAJCXbx2YZTi1G3vhWNtk79Oxp1auc+eF4/Cxu1qE0kdJlWUvx2/EyQzmBctycQGZ0OGZFk8VSaoJUs273zDiD7844JkjdWLlMZASPzWZeySQqa2cJ+vay0R1PTXZ3xrft6jK5KkBXViIbrS1ykoCVGrLYZ3FXBZR3NDJhB5317NaLEeFyXOQf3OsjOnyohPMjWaOEsVgpOkOFJ2eojd026GcWjrMw0+dd2n/KsDj4VF07aLGXXe+/2JtF2kFbn71Sk8hbEQYJUQq63jGYkR5Z012coyBufpZTL6/UHu/uEQRBXAmxyHLCmPnQWY+tUnrfJPXTHurCXDn6Xsvb0w2bmZI0SKW93Qm2TNGeREHT2t6kQ9KZ/LETpTHTt644ydkfKDRhBeedeOUiR9N0xNcvm3EMwcjUhMwND611NVs60yDK+E2cnWJpZwtDXmQWTJ5taTZpS10MdjU/UwZNzBVG7IOIos05YSAfLpWmnf3FwZAGVwWgefE9c7RckHDRJ77uYAFqt1flWH6iaTTV5xZgtVuQn+YoDXsvnTbxT////npxt9/148Orr1sqwO4TI9BtPCGG68WPz+tzjIMA6JYcW5FcWLB7W4LZW7H7TVjc5k0dmTVOpMxUFfYO/+dwOVzqkAogV32MaoKK6qxoZo5yClrpFUF1Gp8F2NPkXnhDtwOwOVQIK8qT6rsrbK+Tj9ipWf4v/+yxfKwhgg8J0+kHVtVysE531xzjk0TyOfEFAzuHJUk0bQbmp95Z4+vPdFmOfSJpGYoJX7WQ1mOfMgYvFpPL0xRRmsxGbgNFjnhrIiMwW0RpOdgV1JkDO4kUVq4KBQypdThZTthKVPywLO0CsfOTWWVmwR4daXLQS4A30vRyvL8ccvyimGUWPrDAbMXzf78Z+/be3+vN/x0weBL5x9HqoDhYB+N5kn8Wgsh4OmTNZ48PseUcmMGyFyM9Wq4131MXODxwY4TrE2Z1nZz8iYlyvhgmgLYUiBVOX5MVUCtpURnkkQXAM81tymCSk+bAtyezusvxtnbUzG+H/Hnd3s8f7gO0kNKSZCXxlaszWKP+OxLvmg1YYXNi50qKjIlMTLb5Mnjmt0DvuuVXf7wizWMDhhKn0CKIumjpCCuBHSTTC6qTF7o2vF2QqNAWbcquPk2FLMdHasLyrES5SyacjKt6+MUclyeFM7KGAbKz3/dh7Xu39fKUg8iNsz2eeSI4dkTNYQUrA1Cnj5wEHzDcBRSAPwLj26kFtR4/sAyjz17EiU1UgqePlwjGQrqbVv4rn8VK40Bu+KWuB/nhfn2goEyY55xEViKks0LhvyrAC5LgBeJnhzg1s3JzqSIp0q3xKsMByo1t2NvT7upVasdw2e/3mKpE0Atc09EJRh7EYlCXiNSYaZxVqrO2857WiUmzd0UzUxb8fdfM+AzD4xY7gdESjNMZWZPisy9EWUztpxMrDj2zn9kCjYveyN17qyo7L3MPktIFcV5r4JcSFHpvs+HeGbSZEyPiwm5IsYBLizCroMsUTJ77q9r6a7b3FTKz3x3h1dft4ZWMBwlzG/azcZNmiRJ+C1AHztxiC2bZi767Jcf+9mv3z/gmUNbyFu1p+qC+YYpKuTGZny8CNAFTrbkBGaZuNgVoI8/xfoSJU+cjAF7fPZ3tcPFDXdnHNz5zgY5c6sKc1/A4Pm4iXLkhFYuc3n0mODA8RqGACF10ZxbVg9W4wdRcTXKLz+ZEKvWXZQp+9JRMcYFm1jNFbsidm8Zsbyvjk19x+Kpkym64uKU7Fkt9MrrhGRp59qMzW3pkxtZzo2sxjbKuOtvsg0NioSWLMmoALcR2SyVXJOLCakiJvBgiw9VxTspdXNcpBiiRLLWbTDVVLzuJSFCQJIIFrtL6KD2s7MX3f7UoUN7j+nzKwmxGW1e6cRv7K6e59odAWk2cktiKskT92WrB/bNQD6ptydfi1khjIN8XJ6IijMhKsFmCWjH4GSjgKs+ePWZbWmtquCugDzbr97LSkNz9lbZZ61jlIr5/EMtDi7VwS/liVexLsduWC4cF7HekmsuCDjzjOa4Fo8izSXzEW+5dcCjLzTAeCSp0+JemmV303GpVDJn1ZLLQG7t2Kya4r3M3mebFhiZP0W2W4ctxi2nCqTJV1hbALBM+FTfZyxdaW8r2l6q4F7PdcqDVYQb7pqRQZJKhiOPc8vNSh9wh93bkjfONEebYy89pgMFWlhmGpJLNrspplHiInJjKn9Yll41L3YgEz/PmetF7cH8JOR350SAlgNarAPsgs2VqDThVsCdzScst+3gQmDrckBQMeJNmwzkiZMnKqbeiHhov+LTX28yHPnQ0Ggp8MS4NJk8/up3XhfgTOjvCcuw6ovHiWaqpXn77SO++MCAR/b72KbHMA3wBcWNpoq/X+rgylpagLyas3DBZ3aDKcfmqXR63FRYOyc5kwWX0oiK/haVQHc8hip1dxkXiDElMLE/UPVt5RdC4DqApCBGIiJ3g7jdMiRhLIhCxfzOOjMbNWGo0e16St1L2ToH115aozdSdPoJw5HJQH5hQqf42+LFunMm2PoCgE9KlPGJpmVwKQrQFPPyVGX3BiWy2pQS3CXI87JZi9blCGWdbcKk1TjQvYKt3VMpF2D6fkQcpXzxwQYvnGiA5yGkykCVzQ2pBJdCjl/U6ipWnKcqa+cZ4epMR5uPwZOFJ56mmijSXLkz4U0v7/P0sTph4pNKj6FR+CkTx5J74UwwuHu9oOBT5TebwSiByjPWUmAVSFvq8WJFlSBNZZahKVcNOQnwybiECeB/k0znOEGIYvXLySGKnQ++1oOFZcGmiw3tuZj+IEUvnfwYSipE2OOay0KOn2tirEaQECX5zmjOPsr/w+s+1nFMQIxd2As0N+uBOmfsaoBZ7kBQSpOKVVgwdg7wcnJqIVEy5naMbQum1sVr+d7LgkutYgI/4rnjgi8/0GAw9KHpIUVeOUjFHlwni1n5nmMXh4l09Ngg+YmET6UAK4o9Wq2IN90W8pl7Rzx9JADtMzISP9PiyrgNdqvSQKQU8oB0IoOoSrBoRSldpGPzfFXJg3xjHdilKRNtwlTdlOyam5LZJ3McFwB8AvQXsHj2oVoakscqSeoA3h0Izi5GHD4bc+pTD9H66vOkaYr+wy+dQ0pBGEb0+ylt7RNIje8phDAkMt9fxd3B3wzk6/rexYGLsTt4XRaXFbBXNXcBcqe3q9lMpbIKw6yi0LVzZe91dT74BLizp5dPoc0K/LVK3FPHeF5MYlPuvL/Ofc/VoaZBuoZmr1LCO1YaW31WP6zzGJupTV7OStGMnNp8rkkJ9HDk8eprBrzlFQOeP14jSTysUAyFxkspjkmkJYuXh7A+k1eH2CuVM7djc/dZII0odHhhOOSMnq+2GYMXQzsnwD0WcI6BvHRV1sNR1QuHyi5uqSBOIU7cf/OSHTFXXrZGqkKsDACDfuaFKYSQRFGETYdcvAk2z4Lvubl3MjEkqdsty8hyz5wXB7i4gLHL9+6DrAK80tZV3VlgDNhjUqWapq881QS4VeWpy01Qc0B7FVDnzolzTNyrUjG+F/PUMcnH7m4BPkgPIVTRRaSyjVTlBDvl36fQjsU5qQi6HFRUmbuiwa0rKDIqG/1Q7BOvsVbzvXcM+cqDIx477CYJxEYxSEVW8JWBLs2BU6kDKW8vwK0eKMaAnv9WZaA3MtvPJw+Kc+0tMzYX7rW4hqYysFNWbv6xBFgpScrzNR5oVt+O5QwygMcpRLHbYFYKmG0HXLS5TbvtoZWHtRb9yqs0QgiSxMOkhsDXKOX+A2GU/+cNiVvlkMZS3fh58kBK5q4EBvnPqExZndDdpVQRWbKgtJ5ygBdz8qogz1rTys2m3M4O5QD8EtxjrF15zRtrc6miVILnJcRpwj2P1Hn2UB08D6QLLn1hK5Njq4GVuCCwEhecoUrVpc2BLiquBuNaPGtlMypzVFJNGHlcvXvEq29xLD5MHYuHwmdkQKeiDPzS3C7M6pxTOwab6ui8qnWpJFhlkVagLC77aQXCCqwAaUUpVSpBZcne2XU11Ru/Mtd9nTyIO0svUjOer3DZTZYkjrlHEYSRwRhLbyg5frZNuxng+x7WGPSNV7i/kKYQRRZjUsJY0hsIVrqSODGFbLBYrCy5qMpRF9qCuSUkCqlSSpN8qRp3TMb3iJmoPxEUe+8UuxfnzbdjDQ/l1iVKTYC7MhS/cE9UitIVgGcSxdcxB88KPvzFFmHsQcPL5AlFa5qq7hJcdU7GompYV6LYcaBXZUp1cwBj19PimmYg+ZE3Dbjzvib7T7ubLzWKQapclWGaJX8QTn+nonQrKiuJzYFeAbi0pRaXmUaXxl17IZ0+l5lsKWKlnMlNNZZaZ2WrALrq0VdJcAzgVQovVrtyZ74wsqx1EwbDlDCxxAk06m6nZ2Ms+p3fc8um7sq+X1o4+RDDkYc1PqMo4MCJBitdvxj3kB/gpDoRlX9UdXe5SdTE3osVYMsxkI9vZVetzJssspKV2g9VsHcF2DIPLsfBnc/2K/V29l6aUntnwWVkEz55d5OnDtZdu4/QKCGLriYlxpuLqzIFMc5KL/oY0+ClVViMuzPGAXsM5BJjNNHI44bLhrzzjj6/9Sc+Q6PBaGIhGRoXI0iTkUlaTdCNOyu5g1IUFlmbsbdbVZQFm3nf1pbgz8EtbUZGdnwVyyXLOMAvdFPGsVLyQrVupYq1/EYsbiIsS2sJB88YerEgsTHCDviuN73sl265cc979ae+3J0+d169+euPBAwSwR3Xr7JrM3z58Xls1KYRyCIrhsiTnOtrJlH9eXGgYux9mQCouicTNShV4IzVgdsx7V0AvSJJVEV7q2Knh8pGVMpOSJK8UjAtwO3pmANnJH/2tQZu/opj76JzP//7grHxwrLyvauBpqh+KGTJuO7Ni63K0tDKRgE5sK3EpIpUZVo81Xzfawd86p4Ge095ICOskIxSD01WL5Kf6zQDSponfnLmrkgnm8tPmxXUuWOT2U0oLUjrZEsOYmnd37Am88dNFqCOrc7jYF9XmowZEFWgizE2d/+OIxkvEGycSbhk5zKdbyTcvCXhNddbOmse23YO3zzdWpjWGA+bNoh6sxw+C4/ub1H3oS0lu+ZTpLD4nizqUIpBj1lWaVyWrMPi1YByDNyTSZ1x/TZWA54lE6r7yJQavNwqMGdxNQFuN5HVZK/ODlTKoHK/WyUomaAyBk9Vwufub7L3YKm9pZDO+y46aF6EoZj8XIi4MT1Zvh9vQB7zxCsTqbQRrjZFlin8KNZceWnI217R5/CfBUSpAqFJhWYoBDrN7LucfCgzgtVwsgiBM71krUDZvFTUSZOCzfOnsGWKX4CRDvgmlykVH7wK9iqQLwD7GLBf5CbISUVBzTPMtC07N3vcctWQemDo9Wd4uttg2PMRgL7m0ojdWyJUFHHmy4qlnk9dW2aaLpDKx50UiZeMdceZeWKZYRzIMPkFL0wErN/cMM7a+eectXOw58xdAF1VmbzU3SoPImVFmshyaL5SKZ4Xc+Ss4r98ss1IeuQTtMqu+WwFqdZAVyXJ2NL2TdSJLc9tvstc3sJWpuyrGlyM1aekRpOkHkGa8I/e0ecv72lw+IwGFWdSxWMoBCqXJ5keL4LNCZDn3rwFdH7DZT+TNpMo2Iy1c0/cjLG5zf6OkQJhy9XjQjMhA34FyFWwT2aA1yOSfBRikgo6vSZzMwJPh3QGMV98JGHTDti6BTRYpppDdm4/QyLmaXiajW1Dq+EGUhabHqnSslsvCh4DcWVpuSC4yFh/PQasAltMsHaeSBkHtyklihxncD3mb+c6u6q/K0/pWNzTEd3I8PufaXP6fABKZ9agzOSJHfO9i/dVPTnGUuOJrnWBXpUqReNBtUczD6pk8SyaIaQiTTTbNoT85Hf1+LUP+3RiN/XIWklolLMN0/w4LKSC0jYsQV7+0/1GZXdhNr+pfJWl4yOlLRncVq5dRoi2YPAXCTgrADY5jr6JfLEViZwKS5JCGEk6Aw9LnZpnEGqNY0uWYN6wGYE+dNaysiq48+tNet0Wu+Yt0w1Bo+bmZLvZIa4MtdwkdMKsz7V3FfAVUOetSkJeCIZJ5s6BXbK2rQSbtggs88ZXpcogU0uL0iZjdFNIEydHTEWq5IydFK9axegg5hN3Brz/421C4zl5IlQhT4qm4glLbEx3F5KsCuv1IW5LAq1YhVXQ5yl7izGmyG4WKXzjtgKv6YSfelefA8d9Pvg5p8VBkQrJyLjeTZlSMHhZgJVfrDJ1X7UrHahLyWJtxuaidDMc6bhSVzuW+HEypqhLz/BgqiQ3hplJwrxQl5tC97tz6s5Tnidwd9SGWfjB13fw2n1mZ6bQj7zgc+ZskwMHZ7l8s6ARuF0OggqwlSqziuPVYBMHOHlQYvxOnIymLyzMsRMSxVaCzGyL7uqWgaosdlLKVKRKDuYKk8uyOrDQ3cWrmzW4sgp/+bUGq2EObgdwTzrtrcW4PBlbdXK7rILnanA0xti2BPdY+rla1Te59aKZqBOXEmUUxmiSVDPlp7zjdQM+dX+D5Z4CGYNRxDg9PlldOH7LvTiTuzxQmRTK61PyYNNmLF4AOvPJjWWCsd31RAjH8GRSJl/pJhI/xb03AXKRlQikqZMncSqIYssozOpRBh5X7fDZvtOn1gR9+RbFnKewax5B4I3VVo8Nj6yC+kVcFDkJenkh2C8IyKptTwVgKiMipB3T3uV+mBcGlflwmhLc6ViAmQeZ+T43usLeXiPhzq/XeOTZOqaivV1TQy5PxutNitasCnuPWYSV361P4hl7VqzC6jbY1WYIWw06rUTZ0hdPUg9tEl52TcRbXzrgI5/3QUUgJFYIQqNRQrgtSPJAU5SgnpQrVHxwlfdI5PZhXjsjK4Vi0s14GWNu6zBiKxgwOYnlbG1LV2RSslSxJSofxkm1bO7It3TRSoEVdNIWU9NN9PyMQgvNcKdGKV3MyKjWKlcnHxcZuMpdxcSBrMfguUzJi+ILqTLB2EJMsLcYB3bpomSflUVnI8akzBwTaTNdXZEkuWMiKxJFOvck8GIOn5B8+M4W53q+2+9aukHvSlDu2DARL1yguytksB57XyBRKudzzEWZ3Gox34JxrOve7Z/jXt32J5uaKT/61j73PxtweEGCiAGFQTISsrKJlANHDmoxdhdW5t3k/yyymdl1qLK5cO9zMOeyJV+J3e/y2e8i09vZe8r8SvU92OK85fFcFXj5/EtTLVIztvgcRzHNmYSEFL17e5/RbI9Z3aM7bDAIFWEoiWJH/3GSbZRU2YV2vX7MyaCgCmgElSVyXHfnS1dx4ov66gpzqxzwEyAvZmRPvk8L7V0kdPJxwCpByRSd2YK+HxOmht/98zb3PVF3vW1SO+0tpevaEeX8leJY85WlejOvw+RVnFexfmEGs3Qtyj3eq+Wz1TJa125mckclNSRSoxLNq2+MeO/3dvnl3/UJE+kaUY0kyVwVaUTl2Gy2GlcuqHUtaVSOz32ujufLuuuzJJALMEVxAxRBZ3HT2wuSP9XhT2LiHI6zdvVGy5+uADBNLUlqSRJLlFjC2DIMLedWU9SsYVti0Pc+J1jrJOjwPK+/scHC8hRrPZ/+KBuoEkmi2BW2mFQUO9OuC/CJV3eg9oLi95IFq4N91mHvyv7zcj15Im3R7e22zTYViVIZ+5vr7mzGdRFcygTPT7j7MY9P3dcgjDyo60J7F+xdBLYXZi4n7a8q8wgqAfg69F0tbCqnqlbBDVblVYbjteKpkUjjpEoO9CTR1BsJ73j1kLvuG/KVx5SzDZEgJLHQDPNVlHzJLwuywLGwrciV0i6s1KXI7DilG1YvRPnZZtIkB3p+fa0QmGL7wSzwlBVATwaYjJ/LsijNjZrLQR3FhlFkGYawNoDTHbjt2mXuuLnH/FwbffHGIY8vGj74uQa12pBXX2NRqo3n+fQGOjt4p9xSLJh10vXrRb2VrunxZX2cxUVVb1e9ZVlxLHL9W+ynnqXKi+RODuQS2FpNAF2V4NYZuH0vZq1vufP+BvvP1pw0Ea4kVuTaW1CZIGUvAHfx3YrvLxhf8r/5w3nhorDkxp/l3qIXDgcq0/dSKqRJkUYTh5o9m2Pe+so+j+z16URZ+tU4PR6hyPeBkGTe+LpTppzGVlWnRzq3RWUtbSWb51IlS/iIrIa8ALoorruhcv5syfCTQM+RLco/X8iSJHUdZ6PIMAwt/aGlMxKc6QhefsMK7/17fXpGcHpBort9N9utZtvsO1LnlVf3mW2P8D2DFLVsTBbINLNpBOUW8mMHYi9cbsbuTJv3MlcstvFkSRlglsAuwZ374GVwKYvB7HaMsccCyjyRU3VRpOuUN6T80efrvP+TLazQzvceY29K7S3XOe6JgLK82cfTyy/G3mOVfEyAumDyC1vZik13jcGkEiOdL66kIU49pDL81NsHHDrj8f5PaeKkBLlBEAqJMvkgiVwrVEBegFrknhzZ5LfsO2Up/ZzNyTKbwv03bbY62wLodsyBs6KivUUZ9I4RY4ErByCbnaAiLjQO5N0BLPck3dCNq7hme4M0ciXEU02DXlhug4l5yy0BN1yp8XUfqzsMIk2jNsVK1yv0NxlQ82u2PnNXgT2e5Rtj8GpQORYNV0fyloydA3/SMZE5uNWEPJnYs15le884DR7j+TGHzkk+dU+Tft+DurqQvYua78rqIsoEz5gkm3ifO01/FYfbUgNU5ECuxcu5Jcbk9R4VoMsc6BIjnRaXUhPHKa1mwttvH/DFb9Q5dDZLKrgB1aRCMMyS90KAMBm4bQl2W4A6c0vIkj/FgpM7KXnq3rG3ysBaypNxoOfAllkMcAERFq6LyDLoFtZRDE7zC7pRykgZOsbZpg893WB12fLq2+psnKmhb7rSY9AXrG3usmXjgNMrPT5xn+bRFyRvuyWkFQjCeHyux4sCusLWk/+OzDWXmGRAOyZPRDH7rnRPCnDnzC2qg9lz58SMbbchK7JEyswxyZhc64QwNtz1cJOvPZlVC0rPAXyCvfMiLyUEY8FwsdSOp59zhIu/CtnjhD4O9MrTmCx7mDsp2VYkTnebUqYYSSokKpUYoYhDzeuuj3jdy4ac/IJHaJwOzyqhSNCMBK7iMBMkTkO41zz1owo+LQM9JTOQ5yl+IUqyz0BpcxCOAb3MqJoi2VNhboEr672AHEWJO+Eaq1UgkUqyfeeAt73iLA/u9fjEPVMcWqyz2oe5rYLtkYe+4fqNaw88svjFzz8efXdiLU8e3MDBE01ma5JvPGG5fKdguu12Hcszhhfq6vIAxzOVdn32LsBMZfnKQV9h7ALYOdDLXQbGnZNx/a2K9HtaeZ8gpevUkX7CvY/5/PqHpkitLp0TqRBCun2ARJmWH2fwquOzPnv/NZKYJbJzBrxAptgxuWLIp15lxViidFQKTS6zzZqMJkkMvp/yCz/WZf8pzb2PSowvMsi6LxAbxZCqoLIVWbKOJi+88Gy1zY83CyhzHS6yG8BQjpKwYoL4cp9cjAO5nEbrEkJjCarsv6WU21dpe1ty1SVNtk9v5B+8dsirruzyyIEBSnlMzekv2mDXmr7pnZ9ekEL8Shht/O4ojJltSW7aYWjVYbqpsNa1BHm6XKLGakYmQZwzuOQCRh/X2xWwT8y3k4XmrlqDuUQxZaD5IuDOf+ZuBAfyksUTTi5Jfu/TLY6dDqChC+Yu2Fvk2nu8JW391WrcFlzP9sp15CS4x3R47nlTOil5uv4CX7zij6cyY2+jkMZkn7MEUOxx8daIn/ruPkeO+hxfFSDijKmdcRAhs2rDHOgVJs998QzqKnNbHHtX5Er+mrN09jkHqC0clTLbm4O2GBKVN45Q0eZFrCeQWZUjmZZXym1Odn6lRpxoWvWE6WbM37tpRLOh0PrhX7H2oQX9yisDpBREkWQ4NGglkNINrqwFCt8fH9BTNh5Ugb0+U4/9HoqZdYU0qQJ+bFuMcWki19HcYwCffKpqYJmVwmbvUz/lw5+Z4tNfb2JrDtRIp7+FlGP9lmV/4zfpmC+AnKN8Haae+PFkKqGsA6my+ni3/WSHj8nmB9qMua01ZY2KyEAuNHKY8o7XDHnhiMf7PqCJgmTsjrTGI8xqZ0SeX08dMi3V9kS3Qluy7GY+ZUFQBps5I2eyJTck8gUhv/52AsRCOBMDkUuWSoNNdv7JKhTzkl5jLWEEK13JMPTwtEbJGkI08f0aSnlYDHr3Dg8hBEkMYZhmjO0SOwiKyawqqwNxXewTulmM34EXgtxOSJRxJp8cwTsG9pzBRQbwivYeY3CZVpyUKrhTZKX25CuPBnzoC01GaTYFX+TWYJa1FHZMe6+bmq8CfTIWmYhR/iqtYrPgzlbZsmoTYi8oobWyktmUFWdFKJfRk1lxljSkRhN4hh97S58Hn/b5ypPOLsy9caTAWE1oXDtaUUQyaR1mSC2klBConM2rIM+bHiqaO/938ipDIUFaO0YSNjtfkw5L7qHbIimFS/AkhhGSJIXeIBvcnyV9ajWL77tJEPr6PV2EgCQ2DEcJSapY7WiWu8rZg5JsQmu1NWzCsx5jNTsuVbI7V1Jq7nUlStUerIJblDt7qQt0uBn3wCfZW1akiY4ZhPArfzDFkdMBVpe7JY9p7zxLOgbsCUCzDpgLCItxPH8TQT5W/lDV4Nl7s64ev7A2xcis4lBWWVwhUoMQGhkZLtkW8y9+vMODPxfQG4lCpuTHlaIZZVV6RXF3VaZIwGSgthQOi8oCSivJupIyMGc1KWWSpxK35f/OmC5fb8REVssi3PfFVqZiJe6PJakgji2rvYS1niWMDdoXSO1+r7dvbaKkx3C0zJmFM3QHNYSaxtJEynyudtbjqEuQl8FhtoQwAfKKJBmXMeNzpMtdCdaTKKbig1e2scvYvGDuMdeksjtv5nlrHZOk8NufaPHkvprzvGXO3KVz4olxWaLEOGuLKtgnmDuLnKgO3VyPry9g8gnnpGyAoCxmsq6Y6YJqQ+EYvAg6jXQgTyVGZM80kyrGcMMVMT/zPR3+459PE6UZi0MRFaYoQpOBjUxAV0BeSBRRyXIKkY3UrrC5BGFK5pbZlFlrS0a/YCUUtkj8VOuZbO7KyPWCcTcPB+HmPsQ6Ym1kmNGztFrTbvBPY/N3MzPd5u4HHuMX/8tJ+sM61+2SXLPLMt0S2VQoN9cv96Cr6XTIyyCrF91+U5lS1nJUNzAalyWlTBnfn7Fk77TU5dWkztgzayKupXz14YAPfqJFZ+g5DzDzvBEKIUTmnJRZy2opb1WHl1bnOjMIqwme3GeehPQ6rH0B3seAXoJ8nLWzqbC5JKkmgYSzEVOpkNa4epVE0a4ZfuJdAx5/PuCuhxQ0koypRX4hSYxkRCXgzEBucaWxFLal87yzlKgr680ljIGqNMmdlTwWK9L5VbBXsCPyhURkk80FWbXieFwCbpuauSnFq2+E6y5b5dxqFzH1OqbnbyVNOuizyy1GSZOFpWlaYpbd2wM2TclsBAPFHjaezr3n8QOZXFLGsppjursMJquWoJiUJRVJUsqUcoddB/B03O+WzgqUxb7qLrCUMkHqhH3HNP/lY20OLfvuSxWuiSavGPSyWSfFLm7rBZVVeTImTSYbQF5UcpeydqIWpWTxMrFSNEKwXhp/YkhQXohlTbGprMilirAIqZGxZfdswj96d49j5zQHTwusrgosAdIjzUDOBMjJkkCqkF6Z302+MYIoAs28yK5g8Yp0mQT6urGMzbt83JY5+UYVqQGd1eyARGtDahTnl5s8d2gHjaDHlbun2LgtIA7r6OmGoFUXbJmVXL1L0255tBqKdktSr1lqfrYpk7LZ2LR8I9jKBKtKsToXgL8K7Aqox/zv8U2MVCZDSiav6G5lss+TyZwS6M4WTPCDhHMdwa98oM2n7m5gPVWm4zNpsh57q8oNeKFzUl6Q9ZI6VUavnKAxwI+x9gTY859dWJNS1eE5oKsBaN75I7Oipvx9FnymhgSDJ52r0gklP/+bioU1AUGVbgUWXTB5KU+yGy1/zVhbSbAmky+FmyKyIHOcyYV0bomtWsxFPUrxZy5IKpbvs02vUlckmRq3VWJXJGAVvaGPFC1mdtRozmmGQw+NkAjlnfM8+eXLd298o7B9GjVBPUgJfEvg57Ud5V1J7klOrq+VOxFKKVJKlPVBPr5jrhlzTqpbR6tKxaASOVu7TKXMXBP33tWaRBg+90CTrz7ayGpNcktQZgyes3e5a3B13uBYQmuSuStanMrvJpm7uEDrVGBW5coFcwoze86askqvWmkoMzel8MOFQIgs8ZM5K1JKjFXZzyTCuorDQFve8NIRb3v5gI9+URIlwhn/+cFLsHgkVjDKOoOtqMqUqiZ3/rjNEnK20N6uIEtWqhJl9rv8VVA6KiV2xLqnKZckOX5iCTqBJE2JEsMgNCx3LNs2T2MtX242vHNJLNBXXH4ZTz708WPb5oP/u3bT3BvPnT6PVH4xvNLTpqwPEeXSmDdFVLd7yw+ntHgqW1jIKrAzwFd0+OTnajBZBpwlcxcyJU/iqNw1ccmcRBg+c0+d9/1Bm1NLnttkSHhjgaXIwF1kLScqGscCoLHZJxWlXWX0/J9VqTKG+QtJYT3cj02cZaI+POuLzKsMrXTb60lpC0fFGpvpcEcMRihSk+22gCUODTvmEn7+x7t0RpJP39ckzjuD81Z3KbBGkUhZuCu2IlPA/W2Vs3eu1bMgM9fieRq/SN9PBJnClBahY/HxM5Lf9GletpCdz7xOyc19dyXVo1FMa/ZiDh4f/t/PHrj72E/9w3e7PXqMWYM0QKkVNs+voNQUSSqKqrxcXhQbcSYy88rdslgFuTvQyo63lGAu2Hu9wFKYdQEuVRXolexkFdxZQJlbgp6XcnRJ8sFPNtl/OICWKkDtEjtOe+fSpOizZNKjZ/2O+UqwWUg1MR5QThJRvqrl/8Z6yR4HPzOR8CldFDmW3SzT91JkIBe28MZFwewyk1EO6MI6bzwOLVfsjvmxd/R49FmfY4uVpaoIOp0MSRCMqiDOgsyyDqXU5UWNyrjqcQGidL8rU/ClhBFQtLBVz4nbINfJkiQVZO4gZCutzmLFxEA3slwcRwySiGFc2YQq1C8hCOqcPCaIVk5yzSVxNkvE1U678QCCJHXDZkahh0U5oZ+PEaASKFDKkjFJUrEEC3BXLMKqDSiK4NJQuiklcxeypPiZY2+tUlZ6gt/6aJt7nqyVVYJ5xjIDt5JkOxRXxyCXtRKqcgHWswXXA/6kBf7XfVS768eqCm1VvuSSxQGqkCmiAv5KplMKx+LC2CxQU+6zUO42EoZ0YHjN9SH/23u6/Ns/mGZ1mAM7W2mMyECuSZylMQbynLHJAZ+RRX6MlT2vKMa+CZG5b5n+lpQJILEOwI1rMA4TwSgWDBPBKBWZNHINKTXtrOTLd3p8z+t28pJrr2IwGvJPcoDLYAcbL9t819F93/j1qZnWzwfeeWamhjRqIzwdI4SbLDqKAla7LTeXOZEXBAYXuifjWcoqY48Dv6q1qzp8AuAqzX5X8buzNHzO3iNp+d1PtvjAJ1r0Ui/LVqox10QIN2Y4d07Giqoov89k9nKMqdcFs0UIWX78ayB9sru+6qLYCuCrbF7OTxHZQPpy5FvO3EYKhHFj92TWBZNmsYcQznkgsbS8mPe+q8fCsuI/f7TNMI+aTc7mjIHcZgNM8pyQzYJMnfUoWpONlcj+3TLZU8mNZtJFCFsM6xTuzxRyJUe4zQ4hTgXLoWBtkJLGMViDyFZjHSg21sCkAQcOrvz6G99w9V1wsmTwW1+yhcOP/ZPBDZeqo0m8SMM/y/6Tli89GhAZH6kk1sDVu2LefHOf3qDuRvpmOnxd1pbj7DwZXIqq112RKWLCFnQAL92TgrXVOHNLmYBneOGgz5/e1aAb62xzzxzYuggwBZk0KZ52THurCqBfLHtZyA5x4c+p/H/+Okgv0vU5mItgs7JPu3XBWHkTlM5KPihISOnAnIHc2ZcSI9yEYGFUxuwqA5cliQ2tWsIPvKHPlx/yeeqAyzpmJnT2WtXk2XcxFeausLkSLhBV1WBT2IpUyW4YW1YZ5maDqZyp6kqpJSRG0I9CvvuV57lu18htWKshMoIvPtJi35E6h5fn+MtvLB/92L3/ZvC1P/5XJcABouYP0m7W+eO//Dof/sx9dEcBndUaSM9tiQ1s3xAyHPa5dpdPf+QhhMnGCpTVgw4kpiyFrbJ01U2pWoETDooULxJYikqWciIVr72UZ454/MyvzfDswQDryVKWFAwuK7agLQb5TO7UsJ41uJ5MGUvsiHHj9L9Jrtjxt+O++KRdmCU9MhbMg85cshjhZtgYK93Sby3G5sB3E7KEcQBPsSAsIrJcd2nM7/z8Gu/9d4JnD2XBSU6puQeIhZzJM/ngV+xDk7e0ZRIlXxWLERP598sTQeS5VHejlNtUlufaVy6oNxhuvTbmp77LY/sGtwr5XoxSET90xzLnli00rqe9+a3YdMANkwDfsWWOZqvBrs0B3W6TQdhiy7Sl4VnqnqXmQ7sW8ML+FjJVbJhOCXwB2YDL0i2pJGmq6flJx6R4Pw50OSFL8qBS5N63KoEts4SO9gw9K/mvn2zy1N6AVFVYW5T1JlCxBcdAPe6c5Kx8YZ3NxFiIMbCPM89fh7ztBLCrCM9rL6qsPs7s69SMWzfO2JhspLFwk2lNrsexGCGz1VY6PW4sKQYtLDdcGfK/vL3PL/xHj14iwKPsU8zZHAFGkQpBlLex/T/tvXe4JVd15v3bu+LJN/btnINarZxQgwJCRnhsZONBYJww4DEegwNgG5thGMABG3uMx8bgMUbIIGOSZGSLKIEEkpCwckStVqvV3eqkDjefWFV7f3/siueeVktCSMB8+3nuc86pU7fuuXXeWvWutd61VtJyKn7UmGLkJECYj6Yk1jylLTknuAcG7QAAPAJJREFUVCTx9ficWRIcS+A6sHzc5qSVIzx5pEarFVDyQjw3xHMDhmttauUW+zp1Rt0JgqCZntcU4JWGAKzHRkf8nRuWVtZOT4aM1szBfQfKvqBethmq2QShoBskzS2zL7Zfu51U8aSALVAWvYBzJxQlCxFGOcBHsR4lMpZchFgiwnYiWgqu+PcKV91QoZuAuc9yIyQyBnc2cm/AnJ289e632CIDdjGZI9JzsBDZx6Mn/dY7Bwwo8HAFaSvjvEXPUxYD7oyqCG24uJIKoSVC6/hHxg6ohdCmBYMrNJe9rMW2PTZXXFOlGWBOWMzD08cYwpGSmSMZp+qNRsYA2RKJViUfVckoi5R95yEWeOWTZZYE1xHYtuDorIVlWTSqDpVShO9G+G5Is+XS03UCUdo513UfC4NOetykhoH3v//v2Ljl5TujaGi8Oz97gQimGapa1EqSesWiXrVpVB1qFUnFB9/T8XTgrNllodtUTupq5YCfqQPJgG0VU/FWId6dZCwzcCfc27ZDmgF84ksVPnB5nUNTbq46J8lWJq8ltgBPGs/bybWDsAt9DzO9+4K0vSzOguwfsZKMX8nmCmWWNBtku3ByRUHIlevRmLbbkP1dWovyh7xTnMqWcw5z5ifohVlm4u2xJKBRizhjc4+5luB7O22TBCqkZ3XhKteYIg3DnwfcukR2xym+JxZc4OZzxRX/yfdgCZx4NLuM9TdhZNELLbqBRbtrMzUrcUtr2bhmw0fc6PGPn37K6QstOMCSMRfP97+6caVzqQhKp3YDhedYeI7E8yVlT1AtaXxPpaNBCuDNVdsc02oPpCZFyy1FHty5sKDIV+ZESF/zH18t8+cfr/HkVJzMWWC9ixlLR+SALPrm7JB58wtj36LADXM0O/eVieMZ7ONa87yQKE9VoN9y55pkxtlOpYUZoy2ydL7QWUxciMRqEz8mdMVYcZRN0NMsHop496/NMTkn+devVMGPbx0LLLlZCkmA4dauyImuMJEUmbPmMs/NkxR9bNHTcykEkTL7JcOmuoGi1Y4A6AUW7a7AcyxcWxIqh5med9/48vpX25124Zxa+Ref/OQnWb5q9RPtTnh2t9s7vexLahWballSLQkqJU2lpCh5ymhUXJXOebeToU+WyipucpY8pS9WvgytT0SVANvKJ3UWglvKCNtXPLbf5i+uqHPvIz74VtFii7zWW+BII7lIKnaS2e75WZfHmnlpxVa0OE4l/zqz5CK17PEwrWNYcJG/EwiOYdVFwXlPE0yJhkfmtpFZ7oKcIP5uZQykQsSLzIpDnFYXgNLU64qSr/nuAw5T07KIlAWqssQaxyV3uQs9US2lF22c2cmoWLx/7nVycFE4epxAUqarVRDP4wkjQcmXVCvRVw7u3/GRS1/1q4WjFCw4wPjYMhASWwR4VgvfM7NuXFvjOkZ85bkKz4lwnSidFJyvg5Q5i53JY1UxTFiIpiRAj1ILLmLnMuXfeRmsq9h5wOZ/fbTBt+72De8oxLrzsW8T807aQNi5Llv5xwVUIb9PWgFe5OKJ1RapWafwpfRz9yRy0B8lSb7QZDzjgiQPuURPrKTTaQxcp/FveQxRlsDM3BRKxkkiadR5QplYeQy3SFigDNRUR3PRGR3++C2zvOejdR4/6JpbIBRj5MktL+5BGyaURRmn0kmdSrPdii2zhLh5vs4ikYi0v6Aid6dCxxlN0/SnGygcW8b0BcrlOqtXrU6HFT8lwC971cVIafUevuffmJk8SrvrmhEalsa1DbhdJ8JNZkumBb/FdHuSrcwDWsSefOECyEdMFoA7ytGVOGriKHYftnnv/61z1TfK9EQ8nD5Nw1sFcEtMxCTTeQ8Yvy30AkrCAHCmAM7tkw8HPiU7yb85SI8SG898mj5f2ZtKZpPXOZ04CegLmc2sEEKqmCuLLPljwooJ4DMvNqEsodL4dshrLm4RKXjPR+rsORxHVugDd0pZTPWB0hAkARcpsNEp0JKOV2kxd/61Ju4WYPqSR9I0gg0VBJFpeB+ExBOrjSWfa2vqYyNsOPHiXhhGxwf4xKJRhFV55+NDE5v3HnjkQluHlD0L3wsLVtsq9CApRkYSIAupCwkgozBMEkEGuCIBdXpxRIXQYCENb0fsOeLwRx+u82/fLNOT8eRXMegnn7HMNa9PrIdY+JO/zadKwX6wi8yZSkHdb7afxerHdSGj2W/RE/FTnPhJLHixMIKMfxd4eB7kMu2mKkjaPFhpQXEYgmNHvO6SNrYF7/pwgz2HXeI+zMWL0PzBNByrEPQwHNqoHkElxkVDFBufLDeSvZYq6UMDQRIICAVdS+PaGs8G3zWTPZau8Dnx5OXfXrZs2TuPHJ07PsClXeXjn71uDj28/b6HRs47aVXTWlULqFV6+F6AY0e5xEvOM08tYWaesv6EuTh5bK2z50VakgBciCwGLmWItCIOTFm8+yN1/u0bZXpWH7gXhAXNCXJksUpnkPVOwJyfGwT9VKQv/j3QOOss+fNMcK4XOpj9cfFso0CR157EGc6kQKAf7KlVj4e4qsSSJxVHJk6eJoWURmDFBtoU8dooLru4TRgJ/vDDDQ5O5f6/PofTAD3pRC6JgJ4yk1NsTPPOxFoLQaYHJ6GB5hwWjY55bUvwLE3J1WitWTomufgUP3rpKaXt+3Z+dW75up86PsDBtEv25Pxbfvq80tm2mjptdKjJULWN7/Ww7RClJEEYp+pTa5ZpetPERN4XIU9LdHphDAK37LPclqUIHcHHr61y1XUxuGWec+cfc+AWCzOW/by7yKt17kT3RVByCD8Wv07DZEI8U3wXs5kLkjq6ED3J3svky4be5Kclx7f8fCQlFxc31MQAjFiQlcTJo/jAwrS2RURgE/GaS1ps32XzwStqhJA5nv0gL/xvkhAjd43iO2kyuCpRD/YrK1NaLzKpbBQaUDsSqq5kpKQJNdz+cPmBzVuab1m+uDLw7w8E+G/80st55N7PRFqv0K2pbTSqU+ydjNhzCCwZsX5pyLolkjByUSqZGRBrhI2GMvOS8xJIsZCXp5xbRDmHswhubMH1t/p87voyXWnFpjYP6Jz1JqMm2VydHKDJAz2LFxfm7Yg+kOdOfJ5r5wGd7LBAJvt0wJ3bsU9YuLAQIqdRSbl3ul8MbmU0+QbQiaS22EBIFUAvUwdNoGNabcUXvLHmoPGE4udf3uLObTbX3VaOlYTHB3liOkKyrhR5aWxCs/pBbv4nhaW6bFo2z7qlPRCCPYd89h3ysT2P5atW65vuiaJ3vOWnBv5l+1gfaWzFebQ77c99/oZ7N+4/0K7cu8vjgcdKRJHmotMm+dBvHmHVIkWnVzyEVpJ0eFJaAmUugCxEFWvM0ccAd6wQtBXChi/d4vPODzd4+HEvLhgeAOy8YymSbGW/Y5m34H3laEkF0gKnsphk6ecthdR9H6iPC+6+NOZCeiKyGDh5x7IvJp4Im3TR0ucfi4AG0uiJQMVURae83Fz8SlnpxxBaoyM4aW3Ah942yx9Y8JVbysaKJ5OSB4I8UZyYLIMa9LaOPVyt4hOhssRQL2Ltkmn+7A1TnH+yJIwkDz4+z/2PO/iVtc2feNnZn/PcMu94y+BzfEyAj46u0Fde/fm/awyd/JZPfHG+EoU+G0Y1oRI8eThk/5E51i6OcOwevh8iLePFB12bbmDHPfKsWPQTf2VJFEWYiKlRDh4D3JYB93/cXOJ/fKTOw7ticB+HmggZO5XkJjMk/Jt+UD8F3RgUVWHhT36Jvieap1iawVdA3/06cTgzoOcBXMRIGkokiahQsOJCJCBPeLpMaYrS2qT0AaR5jjRpfRVpIh3zkR5sXhXwwd+aRQr40k3l+HYXf5hjWXIBWZOTvqtch+YnCKAbmW2WAM8CZbFkVDIxVGPXvlFCBavGOywenicsn3C0NXP7320845ePeaqPCXCAC84+iaOTs3z7pgfpNTuM1CxqVZvVyyqMVYfoBtN4XpPvPCA5PCspOYpT13UZbyg6XTcOZxU9MpHj4U8Fbmz4j1sMuB/a2Q/uTF+SWvLY0jopNVnYvCdLmug+jv0UYM9jti+EmH9zAVafAQ/vHyiQWus8BpL9EhFWul/emmcxcTOJuN+aJypDtYCbE6sPiXUqKsfNk05tIjG/PThpTcAH3jqL1vDlgiWnLz5ePCe5sxl/6MiAu9tl6UiT09e18Z2IwzM233mwRuTU2Dc5wuevh1UTFRpVGKr1KFfGWL3lNByv8ZTn9ikB3hWru0dmHv3vZ25e9YWD+3dWRhsO48OwYYWgWrKQMuLqmzz+/IpRJmcdhAh59U9M8ydvauLYNklY0rQHyEVbZN6xzEdLDOCxBV+51eddH67zvce9LAW/gI7krLcUOaVgTkSVWm2dC0st5NgFK92/reAsJ4/FwofkCii+PD7Ek/KrBfSEDLiZJ5aEDnXBimccXeQSSCIH+rwVz4E9Z9W1MlTFpFvi/0GaqArSUJRIZRcdXTh5TcAHf3sWpeGrt5aK3mEC9BTkMfHOG7zkMYiouG1+/+cnueziLgLB5Bx84IqQq7/jM9f2eWCHotkMGRu2aVRdTjtpXXPRsPvfh8cnus8a4A1nSp1z6qo71i65cPbG656o2JZifLjHxOg8I40Zvvgdm/d/YoKdR2rY0qIXKK673eaVWwPO2wJKWSiVXcZpfFz0a06yUKC2JF/7rs8f/G2dhx93TZbyaYBbiiyhkw8HLtR5F633wERP8n0g+sAuClY++ZZSwB+Lt/Rt648aZG+I1Fz3S2mLTme+KDl3MajcIeI6TkEG9EKMPOlxGHNxo1+VKV0hdj7TBFBiyfMkuqvZsjrgr35nFq0F19/mEwFpJ80U5IK01VVS8ZScZAwNOefkDpecpRgp1ej0bFaNhbz/TT2EOMq1tzns81wcK6DdiTjsO/yXS18y65ZW3XHwYFPxFOspAb5oYhFgH5k+Gl22+cQt35o++F1n1eIWtj3FF24RfOjzyzg8V2XFkKBka7qhzUy7ygOPVThrg6AXuCThQSnjkmiZA3ke3FKhLckNd3q842/qPLLbNRwsXyxccC4TzpFV6OR13sWZlgsBnBfWD5THpiBfuC27YIv75bc/06X7ftLtuY0LEpzkLLXIXwC6mPwRufBh3PA+KUwulsFRoCtKJwA1tZ1I+kCuoRtx4qqAv3n7DL8VwrfuTECeOxk6diBFoq0mTcAJBC3HZdNqC9+p8cTBBkEocZyIRqXNH/1iE8d9km8/MM7OIyW6vYBLLzktmGv2LqtUa0eE5T/leX1KgAvhcOjAHupDa/cti1o7G/bNm1qdJ/mTK6rccP8SRkse60YUVU/hO+Z/WbfC4uyNQxyaFAihcJKJwkKnw4+MxYyTOXHsW9uC62/3eNtfN9i+O+Hcg8AdbyN5TYGaJF2W+i22oSeDrPexKMvCtmsDAZ0Hfv8VkO1yXHAPSt8bepJrY6z74+ELu16ZLg4ZN09Chsbh1AbU5CMrceREg9AqjsrEEZW42CHj5BRALpJm+r2IjSsC/v73Z/jdD8E3/9MnQoAVkcYSkwgJJktZklCyNJ7UjHuCux8c58sTkvXLXKRQ+F7EXNOnUfX4378xw7ce3Md7/3mMOTHBli2bdp6yac2+XY/vZs3a1c8e4ABCWtx0x3W7/dLIr0etjTdd/fWD3HT/IlY3LMariloJyp6k5EkqJYvFwyX2HyojaVItd9GuwBNJawnjsqfWW4TYboSS8M3bfd72oQbbn/DQ7iBakgO3iKV3MbhtYfwbW/Sl5PscyYFlZ3l9dB9GBzqbfZa8CF6dEZb0/WPDu5CtzO1WaBuR30aWVCdJAMWjBpN9UsdT5B3ReJYlOStuJSA34EudTWX6HwslkTK7SECY7yQH8ihHDkQPNi4P+D/vmOF3/lpzw3+WUZEAN4ppiUkaERsbV2pKlqbiaOq+YumQy/5DHlpZVEuKsq8o+w5zLZdWx+OCLVO86ZKDVEZPY2K8+et3PXT97nUrX3w8+B4f4OMTy+h05vC86oEbb+Xm/Uf3nb9uJGTFqKZallR8ie9a+J6kUpIM1YyFaXdto1uxIpRtYqAGZEnrtRDHi3hiSnDbfSXe97Ea23fHtZRPCW4rzcqIGOBJ1KRf331MmkKi+dYDAF+8CFIU57KZaVPNPF3JXRyJWqFg/Y9znlNM6+xAhaylyIBfCBOKPpqidR8Xz0KF5q5QbBqU8vU4da/jFiGJA2r2kzEtUQNBronHmYSaTSt7/N3bZ3jvxzT/eV+JPZOxH6Wj2IrHzFuYXIVna0qu+X5m5iKEMDgqeZKSZ1OZd5idd2l3LM7epJlYu+XmzSe+/EC7NU+5UjsuwK3j7gH86Z/+OadtfeWktIbmXM1ruzN7mBj1GBtyGW44NGqSWllSLRPrxU05kesoHDuKf0IcK4x7rQR4fsCOA5IPfKzB336uxp5DrukdOBDcC/m3iK110tsksd4y0XjHeum0cj7VcSfN7bPXxXHiSUWPyLalOm1RqLBJ9NrpiLxE/528lrltIr/P4GjOM3oEChMmZPHC7KdfoAu68QWyg1ygv3hxZ3ek4vGyi908jUPCCsZHIi48s8viJRHbHrOZnIpPevw9SikpWWbmbsnR+A64tulzqHQ2sbjVFrS6kk7XYnZesGb9VtauWvP789O7bmmMrn860D2+BU/Weacvp9Go3VFz5q8py8lXzU3vY6QhKHmmi1UYmaInzzV1mpn4KuPcSazbLwXsOCh4//9tcPU3K3SUnYtzx7ezfIxbxJmw1LmkoDXJhFR9asEUPLk+5cfYVpS/Zvwj3TwgB59Rlz4v8/tc/RGWhZlJ0gqYgkhLEOceYmVgwfon23POZ6zwEyqz3DqlKubqFlrFw6Wy0CJSIImtenzRkMgBkOhexMRQxC//ZAvP0bz/H4Z5bL+EcgDaMf0SC1oao/XuBRqIaLUjotgZ9l1BpSQ4ect63OqWa5Rz4h1hOPc0z+QzAPj4xBL27d23+9TTzvnd+aMPW0Fz/6WLhieplrr0Qsnj+xpMzvlZc8y0iieun4zHiJS8Ho8dELzvY3WuvqFKR8alZslIjVzippjQGeRUZtzbSgqcEzpCH91IHuUxtueAXNCg9Fu6AVw93U3kAP90kbxgV+OrFLQnOTD3P5r3cwmfJMFToCCk7Rq0zOLiaRo/iU8nkZeYlug4IZSAHRU/KECqFOTGiRXxACqJQqLaFo4T8pqL2qAE7/sY7DwowLNR0qanJKEyFEfFj8mY+Mk5xa5DIb1I4jmS9UtLrO2Vrz3xpDN/99CTB/ZMLF763AMcYNnyZcwcuXHPeedvfPDOO7Zdev09UziOzWhZ0W1XiJTAc0Talcq0f4twnBDX6VEud9h1RPPef2xw1Q01utKJW/TbcU1VYqmTxn8JGhMrThI57Sti6CsvK9yi9YLOsInSJ6EHLHh/Ibj7wyYFft1Ptp+hNU+FU/Tx8NxjvgMWOott59/XeYudz4bGxylGWHJAz10MKp7Vk+lcZGzdTTN6tMxChVIhiCv1hUALY/EF8ZCsnjQgf1kbgeY9H4VdhyVa2rSlTzcyDX3MoGFjlEqeZMIXjIzNUK2E9KIIv7yZFetOffALX7p1z2svfckzOrfPCOAA9dFRYOkHHz9ywtob7tI/f/ToPMtHBGuXeKxaYs6mZZmutK5t5sF7bhfb6vDdhwT/cM0wX7ixQc+Km9GndKTAEWJAJyY3Sw7koyZZ4cLCUOAgOWxKT8i2pwDts+YLKEj/ttz+/evZsJUUiAWLnaA8B26RT9vHIEwiJlqk29E6mx8P6aTuuBls3EOFvmSQ+ZsqDaqbzGeS3ifZL3bTVVxQbCYjmys0GRAulEYKi0jZOFbIZRcFaDXFR78Ycc8OQS+0mLMcyqGmFJn+gwCOI1m/xGbDigaLRpp4pQpdZ83nWqXTPmhHu5/xeX1aTmZ+vf/9/8CiNed3a0PLvzJ1YP+FNbezsuRK6lWHoZqgUY2ol0Oq5R7VcodquYXlNPn0dRa/8Vdj3PVog8AugeODdMnaO+QcyTywc+DOeHdO5y0zJ9JKq4VynDxpP5Ba92xKRaEFROw8po5nwenM2kUkxcci52xm03rzRcbJ9uM4mcmFIhduk7J40ZnXxd/P6NSxpyUkd6n0biUX7pM4n+nFmxiAvgu5KFvIGaVYvJX8mL7k5idSNiiLLWtCXn1hk8k5zbYdDm3lIi0L3wLP0ZQcKJck1ZKNY1vMtz0cd/yWc8865TUNcf/8lpOemfWGZ2HBAd76hkvZ9dg9rRed8FO9D3/iszz2eBPf8yl5mrIXUfIDKqUu9WoL253nyq87vOcTo0y3quB4ZpyGNLrtRGWZTzunz/pEIImeJ19yZg2w2IklH+REFijJgC+Zvi+yaLXzWpMi207Au2Adw5zns4/pvywW7pOnRgspSTFln1GUfp2KAb+KRXqJFU85eJKt1CJOXPZVBMmkljLuRYlY6AiT15vHEZX03JjKLdt2qPk9/vRNs9hC88mvwXSzgW8JSo6g7Wk6XUWnByW/TSBdvImf7d21Q7S2nnXRs4HqswM4wKq1K1FK3b71nLO2zs/cUaqXYagWUqv0GKq2GarNcWi2yVdu9/jAlYuY7tZwSg6OlGnbBhlXS4da0NPQ08bRGISKhF8XBkIV6IcemHYvhuN0ap1SXk7ROg1yPgdycZGB/qnwLI75Tj9A+kGa25687nsPMgCnwfeEe4t8406dVc/E8tiU0sSOZ6JRsUT23KgSc4MOkiyoyKiTSKv9M7ViMsowq/iK22Nbil7Ppex3+Z+vb+Nah7j2uxF7Z4dxpMRzFKWmYnY+ZHrO644sX3vL2OLVtxc69j5fABdilKNT7Xeft/XlOpg78na62/xFwxHjw00WjUzzwK42H/iXOjc9PAqizFBZUrbAlaZhZ/IdhQoCpc0g0kjQpig0ysMjkc0nbY77FYIL+oz0WekUq6JooSGmEwyy3ANS9oM+XP65GLjXMZcmxuegqEre0SwAOwFytlthW+54RctOgZfnQ4hJ6zeTwcy1nxBZat+K7w79Nyujrk0GJFhEkU0USSItzUUlEpB7dHoeJa/Le361xSVbD/K+T4Xc/9gYUlhIoQjDNkuWrDsa7OdVG1fU558tRuH7ADjA6HBJ3XHbV953wvqRwFG1PypZO93Rxhz37+ryP/95hNu/N0a15NDwNSXLDLKyZHZ7V9oAvBsBAQbk6hhKuwQ7IrPUWby7X2OiF1pjdIGT9vPVPFD7kxkLtvdb/j5cikFAPd4aAOwElP3kLe9YphY7l+0s0pTsXItcFb4kH0LMW+y8GjHeFv+9JNJTOF35ZkLxZ4sii25g0wsMyJNCjKTrgmN5tLs+1ZLPeSfO82dvPMr//ITi7h1jzHVtztm8pFeuL/n4otFq7/vBJ3yfAAdYu/RgT1hjfyGCau/AgeCP/+6LWl57+xIefaLBihFJw1N4tsK2cvw3/mqUNm25ZE8QRMmtLhfvynk6g6hDv3DKylGXQZa9P+ox6JjFmHjxee5bXYhLwVNb9mOtp3ExLEjVi4XvZQMp4zOcJGiS4q804pIdQ+U0L1ITS5tN6+v+QgliupLpuQWIXHcE4hMeaUJl0ek5tDsOYRSXLub+TSlMB7T5ps9cy2fLinn+95vn+OJtbb5812rlDS/+Y8oTH7p79/T3DfBnamcGrt2P/gvjw/6Wr35n/32vf++9liOrrBrSDJcVvgu2FKlwp+hMQhhpZtuwZ8riyXlBKHqY0pFcgidunFmKG2fmu1RZuV6D+fR8olMxkY+4qX1/u7QcnUlS7Fb6mlw0pBhJSbaLwvakPVv2XOQiKVba6k0UJAEL5AC51nGZvEAX35MxPZPZ1Gkh81GjvoFe6TGyvjXWoMFfgrQzWX66hhmPnp9LqtIEnowHExA32dfKY3Kmzv7DNeaaLkFU5M952+VYRjXYqHZYPDqLZprbnviZ6MnmplM9q/nQm1/3c983Nr9vCw7QYROl0dqjyl/6ltf9dOMf7rn9Trm0oahXLFwnmVQLvdD02YCi3mOoKmiMtVkfTHPfo4LZOQflOHEYUWBq+bIrsj8Elnc8860h+qMoqTXOX96DaAnHtur5lURNjme5n7E+PB/vzv1AnxOaoyMi5t4LHNV8+RoUKEtKUyCNpJBU/yR9VFKOnljyhO4lM00jLCvAcQNmm3D3I5q5Zp1eu0Q3sM13EvejBEEYQi8U6fAs11XMNm3CSLB+03nqJ5Ztfsv9e098dEl9/3MBzecG4Js2nM0379jRu+ySrZc/+vDjZXfL6N+o7iTDDc/gE0EQaOaaAa2O0a64jsBzLcq+xaIReNHJ06xYMsWtD4Rc8ZUK37izASURa0HNyckczf5BrQvlsQvaslEEfRHwWbOe/nDhgsc+wB4D4vHWBTumIE1e6/5tecrSt63AZvKRlpyzmKcpxKDPMvGxg0hGV5J2fqnGWyQFDUk5m45j20WJZNLyw5IhpVKXG+6WXP7lIW69d4zFo2VevFEwPiwpl8B3NZ5jvodmWzLbhF4QqxCFRdlXOP4qhmZGf2/TmosvP7fyYOTXznouoPncABzg4rPXs3ffwejXf/mnH9u+7b65bQ98o6bCOYLQRUqIVMS371MQaiolie9Z1Cs2QzXJ0rEAR3q4ssbPnjfFXHue2x72afZscDPRcb6tWn+0ZGArthwnL2Ym+yCZfz99Xuxumv5efAUscExJnMvvj/Xpgdvy8tgsUpK/3Resvs6FClOQ51rBCfPLKtGWxP9EmoKPT0TSijntdTggvm3bEc2W4gs31Pj3by/CLVdZHCoOHg3QCIZCm3pFYklFtaRw7Hnu32GjIhObb3cDFo0P8eKlF86t3XzaYzPTh6Kh4ZOfK1jy7AOMA1a1UmKs3rr2xS8+460rN71ocudhF03AysVt1q88wsMHOsy3Deh8z6JaljSqimopREpNLzAZza1nBGxZ0YMgEWAUw4R5JzLPu4vth/VAi51fafYRBlKQ/qthgKDwOBue3UqLFlgYMs1ei4X7LjzQgqfFSnyRxsLTefdq4WO6X9+xBBrHVTz8hMV37ynT0Q6OY47f7Gjm5kPmWxGdrrlwapWQDasO88jBNk8ciohUwIvPtPmFy86eXLX2jLc+vHPuWscpPTcnMV7PmQUHGBpqALDzickrN55wgR2F3gdbh28aXzL2BHftnCMIq0gJriMp+5JqWVOvRFTKIa4bN7VH0WxBqxejMpfUzEBNoaC4H9yDajALFKQf8IOscSHqIgogT2hN/11h0LGezkqscGqN0zfI4ti56EchmpLylpiS5Dm3yICcxFMEWXgRMloi+rvFYka+KAFCadP1VUm0zGahJRdg2dOUyxGgCCLoBIJmR1FyI1xX4ruSasXcTRzLYsnEHPd9z2H18iHOOuulh88+5+w/hM6Vy5csey7hCDzHFjxZa1eMsGJcX/GKi89918aNmw7Pdzp85oYynjYjUcq+RbUkqJcVtXJAtRRQ9rrUKh203ePWu1x27PXiqlSDohTc8RgUK44gZCNHSLcVLDkc00lMGMWCmPgAy50/DsW3i/s+h+exYMGT6FNBVdiXAc1tzyd6cr+WlbGRZDkzSx0pYZIz8fNQSaIo61K2MBUvCHoWa5cqtp7RoqTaNNsRMz3JfEcw39bMtyKa7YhmG2abDqgyr7uoRa3WZd36zYfXbdr6rkNH5BVCjP0goPiDATiAdBpsf+jbl1tO7Z1PzCyb3Lu/wopRGKrbNGoWjaqiUQ1oVHs0qi1GG/O0u/P8+602n7q+QSdwSVVR9BUS5wBtxz/ZLKD+UN+C0HW68g5bcbs4BqjzJn7Asb4PdBd+daHQwzzoPoCSS6OTXQyxEPCYCTOzrwG2VsYyR/GY9hTkkQF3FKfck58CVdGCMJJ4jsXrX97iZ887ylB5hiPziiMtyUxbMNdSzDVDZuYUR2csnjhUZcVIiZ8+f3RyeKj6zmuuvfHyifH6c4K5QesZqwmfyfr7f/hXXvnq8+4P1NATIqpeUrbmvcWjLmNDgvGhgLGhLmPDTUYb08x15vmTKytc/sUxtu2vgmtjCv8shLRwpaBkmdoIR4JraRwrAXhxgFR/mDCfhClkMtNSs+x1GvPOv5+Lfxeei+LvZ+rBZPuxni/8jAU5wcDPn68JLWrcs9/JF2vEk4TlMf4GReuv4pR6OrEt72QnFDA1IiqbeCc1UShZPCw566SAVYta3PWI4EjTAyyj2U/HM1oEgWBs0bq52tDEWy2n+elf/YVf0k8LTM9yPaccfNA6sG9MaZzPnXNyOwy7pU82Z/b4Y0Oa8eEOE6NzjA9P8pkbFZ+7YYI7dw4RRQ62rwmDHugI4n4qMhHsiHgWUGy5HUtjWcXZ8qRfWs6q5fhtf7q54GT205r8Y/o8i6SI/C8+lytnjVOaEbd5ABHPvSzyd52nMQMd4ph9Cwp3hQTcSWBTCKPpNycVRJRUZyVUJb7I4qRPpCxmmxWGypJXnxewacURPn1Dm09/YzGhcgHTHkSpNuOL1nY6avF/27y6dvXsXPcpm/Y8F+sHDvA3veF1fPO6ayLfX371/JwdBWPRv1Sth/0VE3N43jSfvUny11ctZXq2woq6wLVgsqsJaaPCHlPtCpF2ACvl3sngKCe24pZlkkYJ4LQ2NX4oTBMaVeSv6dO+tHf6FSeWsnDRiAwcT2f1gyz3ekE05njH1FmGPHEes3rLLCSYkHLzP+nc8fsjSnECXycCqYR+ZJ/HVgqtFWCZ6nmpUVZckwlYUiFEyPR8j17gEgRl5lpVPDti87Imv//qJio6yBdvG2XH0TK9IGLDutWden3sl4W96Jp7Hp6KfvEXLvtBw+8HS1GS9akrP8sbX3+pvv6u12w774xdu6bb4X+9+b6dfOhqn09+Ywm+KLNqGJYNaZaOSE5dD+9742HOP3Waux90mGqW8F2Lsq1jcbxpN+Da4NjC/Fjg2BlNQScz3Af3ns7TimJlvchx/dykAZkVLaS3fVhAPfKPJI+IgZRmEFUZRF0K0ZpcFCd/VykkuWQ23CmTACQp+SzKRKL+iyRhKAiixKmM2xzr7A+mU/MsjWNHVMtdnpzp8ocfGeafv7oIz67T7dZodV06gUvFt3jFWS3OPuEoWnTZtH5ta2xs+a++9Rd/4uqb79ymfuWXX/t8QO8Hb8GTdf5Fr2Z2vq1rlV/YNXX7tkeP3js93OpOjg3ZLquGFMM1GKnbTIw6bF6tWFyvc8KKOV58epudNyoskjGFpsu/bYPjGKpuW8SDQs2XHUZGtBVEppg1VBmwk33yzXXyoCcH/uxCEH3WPNmvaHrzFpAEIMewzoNi6oUITu7j5S13psnOxuIg8kOqsmlt+b+V59EyTvmEWqIj0xGhG0jCKLHO5nxqW2DohSaQEtuyiOwItERFcNO9Hl+/b4QRv8537xdsXGmzZMym07Po9iyWjAk8e55Lzlk7c+7Ji35z1ZavfOFv/0nytje//vmC3fMHcABp+sh954JzNm88cck/vn79KutDN968c7Q5M02j5rJo2GXxqGCo2iNS4HmCWlUjpTBtkWXsZMbW27MFrhNbcDuhKYIw0kRKEUYmJRzGoVtLmB7hQpKK/vuRkIF7kKXtm1WfWzp1y5JYNAWOPAjtBeou+rYXD57GwyHOPCodT/7NRpEkGcrkV7J/Kz+o13Q8AKMRUUoyF0jm2xZhaD6rZYFr67gYOOHbFratcSJJqMzP/BwEHYlV1sw2FU8eDZDSBRw6XU0nXIXTWHv0oW2Vd1z1Se8zH3nzBc8ruOF5Bni1lJHDqamf/9Srf8a2N62+9S8+c/WN40J1GB0SjDVC6pUew7UuDz8u+M8HKlhYlBwzYcuxjdV2Y3B7jsBzBa4jsW2JbRmYWVbAk7MhR9vxjHpLm+4UMVgTbpYAc1BEI4uMUMx45sy9GGBxgZQXiwHvpesYDi2F45CFPCj+rbQXYSqOys+3N0Q9ozAm+uHkxj8KFEHoMTXvMjVr/jvbAtfRhE7sfBJbfktjBRLHtun1bNA2Z5/UZPPaDrv3VZlta6bmQlxH4liCSqWOP3rB4a3nvviPzj03/FS9Xueqv3o+0WbW8wrw/BoeHqLVan7i9DPPE9Pz8s8f/d4t41VvmsWjAePDLcr+PI/uF+w7WqHmSCqOwrdj7u1k4PZdieeZ9nGeKyn5gqqvOXVjm7GJKf7pazWk9hn2NWiFFAJL6pSXpxlJkdeQZ9LWIshz4Tr6aEYBgKkKO9V/DIimFyM4ffQI+tL0sXFOFICpRJOsQlIKsoqc1NtUmQWXhj97rqmZFaLFv91S45GdJYYrmnLJwnclJc84ngnVMSFYiSUtbEvh2A6dns/SkQ4nLGvy0OND7J91EERo1aZeG2XLqS89fOJJ574L9Cfq9R9cnPt46wUDOEC5XKHbaV/+0gteFK5Y7P7NgV03DlvWY7juHLPtHjfcU2e+XWZpTVN1daxKE4aeOIkiUVLyLEq+pOILqmXFaCNk08ouJ2+c4c5He9xw/2Jsy8IWZqCtrQRYuSgDDKQjhZh4jqIMWiYqU5QCKgWWJQaa7xTQuTYwiYYmeT8f4kyGCEQJ5Yn7botCg3tjqbN4dlYln9RE2jHAh6pNbv5ewL/e5OEGmhOWBQyHirBkoZSdZiqNfl0ipVWIhU/P+YwPl3jp6R2uu7fFbFhhBE19eJyXnH/h1Jr1Z/1BEPLJWm3w9LPna72gAAfw/BJhGF65YdNpkzMze9ZtP7DkL4/OXucoYXPjvcOM+pLRckTZ03gx104iJ54j8VxpGn/6gmpJ06hENCoBUkYsGobT17b45p092lGJqhJ4iSpP90VTyAoUsjn0+fYPmQXP+HBWuW5eQVK6lXRyLWhC4v+5P7Y+SNqbyAjSeklAJJUxgkLJGmSdvJLIUdrVKg1vGituW6aldcnr8MBOl31HS6ysCeZakWlTEx9TCCu+k4k4JCuwpATsVIjlOYoLTgk4c9083R781q+cExw5Un3ni84+87FKxf+y67ovNLxeeIAD2Lat/vkrj127d/bV7tYVD7QqWn3041ffIYK2J1ePRIzWwItVakKYqIljS1xX4rkWvitMy4qSolKKKPlGvCVlEieM0tZgqa/XDy6ZhQyN5iVfqWMe07BfrrYRID8QKg0Ryrg3YOzgJnHn9AbQ9/dNpU0G/nyiKk1Y6fzv5Yl5PCJGCZQwAimldJqUyf5kXMVjKSwrAmnOSSeEVtf0JrHjDKUVA9q2TG4isAW2LVDaot2xaPfM1bB0LOS1FzlqJjpfb1i36bf+66UT/ww7ekKc+ULDymDrhf4AyXrDT61DR/f3kCNX7tm75ltbNvReUy8d+tNHdxxiYqRMtSTY/kSIY8VRFds4lp4r8F3wPU3JNZ1tS16IawfmSxwQ8sjHjfPdZK3EaschR1NxJJBWloaHXNZQxUBSmYUWMVhRWR2pzIck+/5usQwtLmBK/kaUVdskIE+OmRQwpNnJxJILA3ZLiRTkiYbErGS0LAitiJSiHQragcDvaVxbYVsidkQNqF0HfGXonWOHbNvlUvEd2p0eh9snsHLlxJ8c6qz99I6DG/Y+um++9+pLfjjADT9EAAcQ1ikA7a9/7dPb3/b6TX9x+VVVd7Qx+u4h94BVKk9y40MOy2oWjmXoiQE4eK7Gd019n+9FeE6I65g2zUK6mJa9eVAnGnIRO1AZuJPnCbiTLKlpVGQ+p9aCSOkU3JFKmsRntILEIqez2jN+noDUkkl0w4Tmks8FxAkXA/JImdZm6V0iEZulR9Nm8rBIhn2Zfn9SCXMcS6SqQR33LNFx43uikE4I7UBQ6mnj2/QUPUeYiItlHPowEri2Ynxkkn+5rsxEY5iXrdjY2nTS+a2JZafviMLuo+PD5RcaQgvWDxXAk/WKn/wlPvWZz0b/7Q1veu/Ro5N2Z/Jrv3f19Td5kbawpMbzLEq+RckTeI4ph/ISgLshnhtQ8rs8cVhx13YPbMt0o82JshJQWZbAtkTucSG4LUtiSWm6O8d8OgwVUWSa6gShSufWJHHkNAkozD5WX6A7seKWZShXkiVM26xJnWpEgtD8JBTNsvoLIfLJnYynC2n+p0T+mjTjiZSkFzicsaHL2kUtdh6u0AoF5diKdx1wA41jRcYQWIYG9gKwbYvNm2wqjXO6F/3ERf9nz/573l+pSB2Gz22hwnO1figBDvD6X3gd7dY8funIu/XwxXLT/nVbN97xdbl0qLe14TftiVEz1k5KsG2N5yh8N8R3Azyvh+d2efQA3PloFdt2cGXckTYBtswyoHbstOYr3zO6IrEsiWObGHGi4A1Ci16g6fZC2l2dgU8m3FykVEhpjYp5e7ItoSa2xER2bB0Lx0xKPZk/P9+StNqaINLx8QW2EmirL4sqkyRTJp+VQhJaZnhvFMUpeSUJI5tu4HD6+jYnLGvyyP4G84FHxRb4gcYPIIwUkZa0OorZ+YhOBxaNjYSWW7vtd974k2pOnXjbrqPhu9csfxGeFM/ou30+1w8twAFK5Wry9F1fvOZLvP5V59RU1PpYr7X7tdPTe+TUlMZxPGxL47sRJS/A93tU/C6dXo/vPujT7JXxPYmfNh5KQCVwLJFpWWxjxfOx7oSy2LHOxXWMI+Y6psl/oCLu2aFxpMKWwsgHLHB0Ep82c26sRMgUXwUiyarG4HZsjeOoOJEVJ2MsxfiQYvcBhycnk89g/A7txCPLVVxxIxJ/QKQXVNKP0DiKmtBWRt8dWYSRRafrUi07nH1Sm2890Ga261KyBV5P4LuaaiTipFmEXdIMj61UY0vWX6VLtTc/8ujc3IvPH3mh4fG01g81wPPr5171SiYP756rVUq//fBjK3Z89cbvnuSUg1fNTT3BkjFNvdJjfLiF73bw3C53bYerv91A4FN1NJ6lUxWibcVAjLOhvitxbGlS38TDT5NQojA0xrGJm4sqquWI0UYPx5/lym971CyfoZKZNKccUXA2E2cv3xUqec/cQQyoDdWK8FxDs2qVLr4/zfZDIxx6ssRITVD1kzZoJnynclZcxY3kNSAjQRR/s5YUOKHh0KkVDy3aXZdyyeeyC+a5/o45btpW4XDbpRcILEtRLyksEXLmaetYtTy6ZmTx1gfd0vq/VVFz7oyzV7/QcHja60cG4AAj46sAjuzavfc9v/ZLv7Lqew8/wtEnd7yqZt3NxOh+9h3tsWKRpgxs3+Py2P4aI8OShqvw7Dz/TqIDBtwl38J1DMCDUNPpRkRxsWKSNHRsY70rJcVQzWRbly85ymmbKtx8dxlLEMtLdZwkMnzalhplm8r0ZCXCJyuhJrbGjcFd8kIqpR6Lhpvc9GCH2x8RVOIElRmcG999HDOUMaluCiPoBhCEJlsbuiZ8ZC5OiZeUokWmN7foukzPllmzpM36lQG3btP4bpPx0TaP7nNZPDbG1nNP5dRTNl6zfMWGt7Xbzd2LJsZfaAg84/UjBfBkrV61nP0Hj+7esPGEP1g06l85XF32u7ffd88F//jFRzhr5Qy/8ooAy2njey4TZU3NVSb1jLGgSeLCdSW+b1EpWVRKxkJPzioOTZqJYL5nrLyIgeo6mpIXUfFDyn6X8bEeayYcrutCKxCmg1fSyiyWBIRK4yidhfkS5zKuRDLgVniOwnMjvNhJLpd67HlSc/SoJqoL6h2NHzvUUXxHMAXcmrIHoJiajZicVZRcU/cKFrZlJA1R3BpPSAgji15gE0SSRrVDt+swVpG87sIul2yN2Dt7GsOjZ920cXn5bzdtWnt/rxfurk089wXBz8f6kQQ4wNLFowA7lNY7BDz4xE0s+bn/8qJ/tNvb1+968mbr2/fDSEWyYkgxXLfY/mRIsy0ouwYYJhNqUfYktbJmuK5YPt7hrp0dtu1zWVyTDEtj4SFT2JlojYnS7D2kuO17LsqCroJeGCsaY+214e+ayNFolVnwpOWabSf0RBl6koY3I8JI86ITe4wvanN0tkK7J+gGiiDU8XxKc0fyXc1II2TRyCwP74Md+0osH1Wmc5VlOLvvmiiKFFAtdWh2NI/tHWW04VH1u7xkyxz7DsBLX3RhdNH5K3co1fuN0tjWA8D2gT3Pf4TWjyzAk2Uyemzfu39yexSpVwQtf1koTrmqc/236ievOlgZL3c4Z4vFKVtm+ddv+ISRnd7iPVdS9gW1SsRIPWDF4lm2H2pyaG6csi2olFXcr9xYXdtWuE6E7wa4dpdv321x//Yqjg9oQU+JuJeLiBtMGmlvFCVRlKQzrimzc+Loj+dGeF6I54bYtun81e1ZnL5B87Iz5vj0N4dpBpJGYKhIEnOXEjwX6pWQsaF5pjuCPUdLVL14NpIt8B1Bzzcc3LYU7aDHlTf6hPMWZ50gqdeW8MoLNjRfcsHPzrbb8jJZWrbPtqzdP+rATtaPPMCTtXzpCFqr3TD6xN7D81t+7TJ5btWN/mnfnsfDEW/byN4jk7WqZ0afSEEs0pKUPKj4inqlR7U8T6gDQiUIwiS5EoPJiiW3ToTv9VC6wyeur6NkiRHHDMRqBZJ2CJFWGa2xhYmXx5OsE/5tWyZr6MXRn4rfpeQFCKkJI0m761LyyrzxkiZXf6tNM6jSi4zWXSmd+QbxcSypcawe013NTFtQLil8T9HuaUpdSS/QdLqSSDpMz9nU3JG5NRtPmFx1wjq7Xgl/ffnImu8qMTyDQlnWjwe44QfYNuKFWEJIhBBKdWenTt205Oujw/WNn/389etOOee1f/Zk5yUPbVq5+N5TN9Y71WqZagka1QgpFbatqFV6zLV7fO7GCt3AMgmaGJQyrgy3Y2ewUuqw65Biul1ntGKxuBrRKGukHTDd6/FkUzDbkbR7ccPRBJSxE5DUk7qOMk5luctQrUm5NEsY9Zid95iaqTI126DseaxcPMdcV9MJTLvpKMfnRTwAyrUFr72oRaXcYbYNQaAIw4ip2R7TcyGOW+LQ3HDH91ff+79+89SHfu+3Lvuzb13/zXWuV98o3FVfn5npTVlC/FiBG36MLHh+rVqxDIygtLV372PYjvOXWlt/+dqf2mItGq19dOfe3kYZ7j1vevoJa3raOG5Vf54Dkz2OzvhYScuogoTWCJF8N0TT5fKv1ZmZrrJ+VLF4SLBkkeTE9TPsOjzLv3xzmIPNGp4tKXumskjlwoRJcsp1I0p+j9F6k0DN8MnrfXbvq3PqyhrLF5nGOysXd3nTK5r88Se7tEOPKFJm7EjfoACBzXhdMj7c4sB+l5VjNiNDHkpKxhaviDZuXnXLVMvZ3lRzb1nqHIqcss9vvv0detHita0X+vv6Qa4fS4Dn1/Ll6yDDQthtz7757HO94X0HDn3gis9/1RX6ULR0afWM0TH7zL//ss3MtMXKkRahckBnY7kNrVCU/YDdBxXfuKvBaAXGarBkzGbzSputm0tcdsEUw9Un+ciXJNOdCjU/oxXorHmobZm4d63cpdWb5x+/6vNPX17G6oaHG9mAhWVpauUqF58xz+XXtThypESoVBpyjCKIIiNY2blfs3jU5Q0/CZ/91iqGF3HXmhXdu88+fdhatvbSnu0t+R8rVWdqYiwpPnjrC/3VPC/rxx7g/csr1QGmgN8EaB6+FuACR/Yu2XhCeNnvLAk3LRme5LNf3sNww2Tymq0eaijCtgJ8N0DLCK1cRsowXJOMNhyqZU2rYxGpKm/5mUke3T/Jtbf6jAdG+JTXgycV6p4bUvZbfPkOyUeuWULF9ql7Ic02HJm2qFccRhs+o0M+6JBWiKl17AaAIAxdAuXhlUIOdU5meb3CJefzyKy94qpGzb4u0Nx01ksuBH77hT7tL9j6fw7g/asyfinATbv2T9/0M5dws28F67rdA+pLN/+72rRx0Zr60OgfTR3Zz/IVkrGhbbjWDEr10Dqk7NjUKx4jDc1wLUCIDo88YbFoaBGvu3CGWx7o0A3LkCtNSJbA8PnpVsBnbxxl1ZDPyFCPXlczOaupliVDNZu5poXvQbfdY26mg142xEknLmXNUs26NUs5Ojn9F6XSrsc3rX2pXDIxIRtVHnv3CXxdOD+YXn8/auv/eYAna/XSIYCvJ68fevQQrucO7dt/4DbXsRhdZAUrV0283bO3vnxFVfP2N1Z5+J57GR/usnKxolSSHG163HiXw/oJh62ndLCZpxs4RpUaaXo9ET9q2l2FUgGtToe9B3wuPCHkhI2K27d5BB2PmQ60ew7YdSZWXcDvvsnm6EwJ15PXLy13/2b10sg55bSNVOsTN0FvWojlL/Qp/KFc/z/Aj7G2bFgEMA38B4Dq7gTBNhXpiVFPqpdt1RzatYOSH1GpBAgkzY4KTtx84fvGqp1XWuWjwYXnBLiyzqpxo193HMH4sI1rg+8qKkPzuP5KLn3pIk5eVXY2b6h+6e4d33mf9D0n0gqNheXUaYydycte7NLuSqkt60ng8dM2LH2hT9GPxPrxigm9wOvmm28FISZ67cONRUOT+uqbQzyrwrJRmUpxx4YtZKwtWTrewven+cI3hlmztCo2rVs2o7R+8qRTznmh/5Ufm/X/AVAHYbBKVwv6AAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE5OjQ5OjM0KzAwOjAwb3a1vwAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxOTo0OTozNCswMDowMB4rDQMAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 266375000
    {'hecke_orbit_code': 135107988888225544, 'n': 1, 'trace_an': 1}
  • id: 266375001
    {'hecke_orbit_code': 135107988888225544, 'n': 2, 'trace_an': 0}
  • id: 266375002
    {'hecke_orbit_code': 135107988888225544, 'n': 3, 'trace_an': 0}
  • id: 266375003
    {'hecke_orbit_code': 135107988888225544, 'n': 4, 'trace_an': 0}
  • id: 266375004
    {'hecke_orbit_code': 135107988888225544, 'n': 5, 'trace_an': 0}
  • id: 266375005
    {'hecke_orbit_code': 135107988888225544, 'n': 6, 'trace_an': 0}
  • id: 266375006
    {'hecke_orbit_code': 135107988888225544, 'n': 7, 'trace_an': 18}
  • id: 266375007
    {'hecke_orbit_code': 135107988888225544, 'n': 8, 'trace_an': 0}
  • id: 266375008
    {'hecke_orbit_code': 135107988888225544, 'n': 9, 'trace_an': 0}
  • id: 266375009
    {'hecke_orbit_code': 135107988888225544, 'n': 10, 'trace_an': 0}
  • id: 266375010
    {'hecke_orbit_code': 135107988888225544, 'n': 11, 'trace_an': 34}
  • id: 266375011
    {'hecke_orbit_code': 135107988888225544, 'n': 12, 'trace_an': 0}
  • id: 266375012
    {'hecke_orbit_code': 135107988888225544, 'n': 13, 'trace_an': -12}
  • id: 266375013
    {'hecke_orbit_code': 135107988888225544, 'n': 14, 'trace_an': 0}
  • id: 266375014
    {'hecke_orbit_code': 135107988888225544, 'n': 15, 'trace_an': 0}
  • id: 266375015
    {'hecke_orbit_code': 135107988888225544, 'n': 16, 'trace_an': 0}
  • id: 266375016
    {'hecke_orbit_code': 135107988888225544, 'n': 17, 'trace_an': 102}
  • id: 266375017
    {'hecke_orbit_code': 135107988888225544, 'n': 18, 'trace_an': 0}
  • id: 266375018
    {'hecke_orbit_code': 135107988888225544, 'n': 19, 'trace_an': 164}
  • id: 266375019
    {'hecke_orbit_code': 135107988888225544, 'n': 20, 'trace_an': 0}
  • id: 266375020
    {'hecke_orbit_code': 135107988888225544, 'n': 21, 'trace_an': 0}
  • id: 266375021
    {'hecke_orbit_code': 135107988888225544, 'n': 22, 'trace_an': 0}
  • id: 266375022
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  • id: 266375028
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  • id: 266375030
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  • id: 266375031
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  • id: 266375042
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  • id: 266375043
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  • id: 266375046
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  • id: 266375118
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  • id: 266375119
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  • id: 266375120
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  • id: 266375121
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  • id: 266375122
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  • id: 266375124
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  • id: 266375126
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  • id: 266375130
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  • id: 266375131
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  • id: 266375132
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  • id: 266375156
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  • id: 266375157
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  • id: 266375172
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  • id: 266375217
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  • id: 266375220
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  • id: 266375222
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  • id: 266375224
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  • id: 266375226
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  • id: 266375228
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  • id: 266375233
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  • id: 266375240
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  • id: 266375242
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  • id: 266375316
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  • id: 266375322
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    {'hecke_orbit_code': 135107988888225544, 'n': 985, 'trace_an': 0}
  • id: 266375985
    {'hecke_orbit_code': 135107988888225544, 'n': 986, 'trace_an': 0}
  • id: 266375986
    {'hecke_orbit_code': 135107988888225544, 'n': 987, 'trace_an': 0}
  • id: 266375987
    {'hecke_orbit_code': 135107988888225544, 'n': 988, 'trace_an': 0}
  • id: 266375988
    {'hecke_orbit_code': 135107988888225544, 'n': 989, 'trace_an': 5760}
  • id: 266375989
    {'hecke_orbit_code': 135107988888225544, 'n': 990, 'trace_an': 0}
  • id: 266375990
    {'hecke_orbit_code': 135107988888225544, 'n': 991, 'trace_an': -33248}
  • id: 266375991
    {'hecke_orbit_code': 135107988888225544, 'n': 992, 'trace_an': 0}
  • id: 266375992
    {'hecke_orbit_code': 135107988888225544, 'n': 993, 'trace_an': 0}
  • id: 266375993
    {'hecke_orbit_code': 135107988888225544, 'n': 994, 'trace_an': 0}
  • id: 266375994
    {'hecke_orbit_code': 135107988888225544, 'n': 995, 'trace_an': 0}
  • id: 266375995
    {'hecke_orbit_code': 135107988888225544, 'n': 996, 'trace_an': 0}
  • id: 266375996
    {'hecke_orbit_code': 135107988888225544, 'n': 997, 'trace_an': 20196}
  • id: 266375997
    {'hecke_orbit_code': 135107988888225544, 'n': 998, 'trace_an': 0}
  • id: 266375998
    {'hecke_orbit_code': 135107988888225544, 'n': 999, 'trace_an': 0}
  • id: 266375999
    {'hecke_orbit_code': 135107988888225544, 'n': 1000, 'trace_an': 0}