Embedded newform data - 4680.2.a.y.1.2

Formats: - HTML - YAML - JSON - 2023-02-07T12:35:06.356516

• 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': 18720, 'analytic_conductor': 37.36998814595922, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, 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': [4680, 1, [3511, 2341, 2081, 937, 1081], [1, 1, 1, 1, 1]], 'cm_discs': [], 'conrey_indexes': [1], 'dim': 2, 'field_disc': 17, 'field_disc_factorization': [[17, 1]], 'field_poly': [-4, -1, 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, [-4, 1, 1]], [11, [8, -7, 1]], [17, [-38, -1, 1]], [19, [-16, 2, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090451016, 'hecke_ring_generator_nbound': 7, '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': '4680.2.a.y', 'level': 4680, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'minimal_twist': '1560.2.a.o', 'nf_label': '2.2.17.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{5}-\\beta q^{7}+(4-\\beta )q^{11}+q^{13}+(2+\\cdots)q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4680.2.a', 'trace_display': [0, 0, -2, -1], 'trace_hash': 865330510817270884, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.047', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.957', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.245', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.000', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.829', 'prec': 17}, {'__RealLiteral__': 0, 'data': '71.150', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, 'traces': [2, 0, 0, 0, -2, 0, -1, 0, 0, 0, 7, 0, 2, 0, 0, 0, 1, 0, -2, 0, 0, 0, 7, 0, 2, 0, 0, 0, 4, 0, -6, 0, 0, 0, 1, 0, -1, 0, 0, 0, 7, 0, -4, 0, 0, 0, -6, 0, -5, 0, 0, 0, -3, 0, -7, 0, 0, 0, 16, 0, -9, 0, 0, 0, -2, 0, -12, 0, 0, 0, 3, 0, 16, 0, 0, 0, 5, 0, 3, 0, 0, 0, 16, 0, -1, 0, 0, 0, 17, 0, -1, 0, 0, 0, 2, 0, -15, 0, 0, 0, 6, 0, 12, 0, 0, 0, 11, 0, -18, 0, 0, 0, -4, 0, -7, 0, 0, 0, 25, 0, 11, 0, 0, 0, -2, 0, -10, 0, 0, 0, 22, 0, 18, 0, 0, 0, -16, 0, -15, 0, 0, 0, 7, 0, -4, 0, 0, 0, 29, 0, 8, 0, 0, 0, 6, 0, -12, 0, 0, 0, 5, 0, 23, 0, 0, 0, 28, 0, 2, 0, 0, 0, -28, 0, -1, 0, 0, 0, 38, 0, 11, 0, 0, 0, 1, 0, 29, 0, 0, 0, -16, 0, 31, 0, 0, 0, 10, 0, 20, 0, 0, 0, -2, 0, -7, 0, 0, 0, 10, 0, 24, 0, 0, 0, 4, 0, -14, 0, 0, 0, 1, 0, 12, 0, 0, 0, -26, 0, -20, 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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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'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.5615528128088303, 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090451016, 'label': '4680.2.a.y.1.2', 'level': 4680, 'weight': 2}
• 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': [[[[2, -1], [3, -1], [5, -1], [13, -1]], 5, 4], [[[2, -1], [3, 1], [5, 1], [13, -1]], 2, 2], [[[2, 1], [3, 1], [5, -1], [13, -1]], 2, 2], [[[2, -1], [3, 1], [5, -1], [13, 1]], 3, 2], [[[2, -1], [3, 1], [5, -1], [13, -1]], 3, 1], [[[2, -1], [3, -1], [5, 1], [13, 1]], 4, 3], [[[2, 1], [3, -1], [5, -1], [13, -1]], 6, 3], [[[2, 1], [3, 1], [5, 1], [13, -1]], 3, 1], [[[2, 1], [3, -1], [5, 1], [13, -1]], 4, 4], [[[2, 1], [3, 1], [5, 1], [13, 1]], 3, 2], [[[2, -1], [3, 1], [5, 1], [13, 1]], 4, 2], [[[2, 1], [3, -1], [5, -1], [13, 1]], 4, 2], [[[2, -1], [3, -1], [5, 1], [13, -1]], 4, 3], [[[2, -1], [3, -1], [5, -1], [13, 1]], 4, 3], [[[2, 1], [3, 1], [5, -1], [13, 1]], 4, 2], [[[2, 1], [3, -1], [5, 1], [13, 1]], 5, 2]], 'Nk2': 18720, 'analytic_conductor': 37.36998814595922, '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': [4680, 1, [3511, 2341, 2081, 937, 1081], [1, 1, 1, 1, 1]], 'conrey_indexes': [1], 'cusp_dim': 977, 'dim': 60, 'eis_dim': 63, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17, 19], 'hecke_orbit_code': 33559112, '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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3], 'label': '4680.2.a', 'level': 4680, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'mf_dim': 1040, 'mf_new_dim': 60, 'num_forms': 38, 'plus_dim': 27, 'prim_orbit_index': 1, 'relative_dim': 60, 'sturm_bound': 2016, 'trace_bound': 19, 'trace_display': [0, 0, 2, 0], 'traces': [60, 0, 0, 0, 2, 0, 0, 0, 0, 0, 4, 0, -2, 0, 0, 0, -16, 0, -12, 0, 0, 0, 0, 0, 60, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -16, 0, -12, 0, 0, 0, 0, 0, 60, 0, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 16, 0, 0, 0, 4, 0, -8, 0, 0, 0, 16, 0, 36, 0, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, -4, 0, 0, 0, -48, 0, 0, 0, 0, 0, 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• mf_twists_cc •

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

  
  
  • id: 48530624
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391090451016, 'source_is_minimal': False, 'source_label': '4680.2.a.y.1.2', 'source_level': 4680, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391090451016, 'target_is_minimal': False, 'target_label': '4680.2.a.y.1.2', 'target_level': 4680, 'twist_class_label': '1560.2.a.o.1.2', 'twist_class_level': 1560, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48530625
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391090451016, 'source_is_minimal': False, 'source_label': '4680.2.a.y.1.2', 'source_level': 4680, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050394816742936, 'target_is_minimal': True, 'target_label': '1560.2.a.o.1.2', 'target_level': 1560, 'twist_class_label': '1560.2.a.o.1.2', 'twist_class_level': 1560, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48530626
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391090451016, 'source_is_minimal': False, 'source_label': '4680.2.a.y.1.2', 'source_level': 4680, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 270215977675793552, 'target_is_minimal': False, 'target_label': '9360.2.a.ci.1.1', 'target_level': 9360, 'twist_class_label': '1560.2.a.o.1.2', 'twist_class_level': 1560, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48530627
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391090451016, 'source_is_minimal': False, 'source_label': '4680.2.a.y.1.2', 'source_level': 4680, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 144115188109413424, 'target_is_minimal': False, 'target_label': '3120.2.a.bg.1.1', 'target_level': 3120, 'twist_class_label': '1560.2.a.o.1.2', 'twist_class_level': 1560, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48530628
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391090451016, 'source_is_minimal': False, 'source_label': '4680.2.a.y.1.2', 'source_level': 4680, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 130604389227306616, 'target_is_minimal': False, 'target_label': '7800.2.a.bd.1.1', 'target_level': 7800, 'twist_class_label': '1560.2.a.o.1.2', 'twist_class_level': 1560, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3674300
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 108086391090451016, 'p': 2}
  • id: 3674301
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 108086391090451016, 'p': 3}
  • id: 3674302
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 108086391090451016, 'p': 5}
  • id: 3674303
    {'charpoly_factorization': [[[-4, 1, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 7}
  • id: 3674304
    {'charpoly_factorization': [[[8, -7, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 11}
  • id: 3674305
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 108086391090451016, 'p': 13}
  • id: 3674306
    {'charpoly_factorization': [[[-38, -1, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 17}
  • id: 3674307
    {'charpoly_factorization': [[[-16, 2, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 19}
  • id: 3674308
    {'charpoly_factorization': [[[8, -7, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 23}
  • id: 3674309
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 108086391090451016, 'p': 29}
  • id: 3674310
    {'charpoly_factorization': [[[-8, 6, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 31}
  • id: 3674311
    {'charpoly_factorization': [[[-106, 1, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 37}
  • id: 3674312
    {'charpoly_factorization': [[[-26, -7, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 41}
  • id: 3674313
    {'charpoly_factorization': [[[-64, 4, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 43}
  • id: 3674314
    {'charpoly_factorization': [[[-8, 6, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 47}
  • id: 3674315
    {'charpoly_factorization': [[[-2, 3, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 53}
  • id: 3674316
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 108086391090451016, 'p': 59}
  • id: 3674317
    {'charpoly_factorization': [[[-18, 9, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 61}
  • id: 3674318
    {'charpoly_factorization': [[[-32, 12, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 67}
  • id: 3674319
    {'charpoly_factorization': [[[-36, -3, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 71}
  • id: 3674320
    {'charpoly_factorization': [[[-4, -16, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 73}
  • id: 3674321
    {'charpoly_factorization': [[[-104, -3, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 79}
  • id: 3674322
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 108086391090451016, 'p': 83}
  • id: 3674323
    {'charpoly_factorization': [[[34, -17, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 89}
  • id: 3674324
    {'charpoly_factorization': [[[-50, 15, 1], 1]], 'hecke_orbit_code': 108086391090451016, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 25, 'label': '4680.2.a.y', 'level': 4680, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHFDs5056WAAAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vGzXXd6Pv1fZe0897Z7bi3Svepcly5Jc5IIbOGCDbZqBEGogJPkmPxIgCQmQEIMTvgT4QgDb2BCKbWxj427LTZJlWb3r9t7vqdNnl7V+f6xd5xzZDjERJpmXxzNzztGdmb2f/azn83zKEvzf2zfs9v6P3I2UYvMT+49P28TabRs8fE/y0JEed1w/J267urV418MJ2zYsbbj5qlP2sf3bqfmSzRsGtJqJMPKyVbDnNmx7CcBWYAUYCiGe66/2TXvTz/UH+Ga5HTx6FmC3MclmizCDYcgHPvhXXLbtNBdvXaKmfA6f/GC0bG/6pWF/+R9oYaNTZ302zwmiwYjeauyfOrXwzhOnBCIZ/eiJqX545twCWzfA8VHIVCvxRvHRj/72H+/9padPfkj8t1/+sV8/d+rIX9bixx7qr+5TlgCEkEp654Aj9da25/qQfFPc/i81PMvtmYMXsKI249kjdwyWH0cJGZ1anv4XvZF8lRSWMIp5+OFHadVXuHRbh5We4sT5OpgxcRQz27bsO+Fzze6EMxcks1Mx7WbAoTOaxETMtwSnFyOu3WM4cEIyN2XwfZ9aTXPkgmSlD5dvirls1yxXXHU9Fg+tYBDqz+w9MvrNxCbey198LZdevP0u7HhFyE3P9SH7O3n7vwBPbysrC1h4Tas5vuTI0Z755d9+n3nLa6Z298ebfr7fPUSz5nP0xFm63UXCSLM8kCTWp+ZZ2oHlfDfmwJkR2+ZqTNcVSkTMT/lctlMxGIGQY05d0IxCOL0oUPgMxxGX7LRsnu0jkTQbIVs29th3bI6llTrNWkKgIwYjQ6evCOOYmdl5mq1tKD3mmst289i+xV+79fKzR3Zc9kMyFNNy20Z9CPjUVHvDc31I/07c/o8H+DNP3IMU4o7l1fDVTxxafNNVuy9cMe77vPOD+7nt2hUWLngcXxiwfYOiEcD8tOHUcoCSFikMW2cSjp+v0WxYHjo0ZjAW1HxYXIXd85pGPWDzfMwd13Z5+sgUD+0VPHM85vZrErZtMDSbgp2bV1hYUdQCGI4tj+zbQKsuOXzeZ8vsCCnAVwlnlxRTzRhJwrZNEQuLLYbW8LIbmhxfvppaK+HF10/vO7u88f1RLD8tBHe95lUvfa4P8XN6+z8O4L1eh3otmD17buE//+H/+LR/4MQzyU98e+2m5ZWpm//iE+fYvPEYr7ihyWcfnGZoVnnVTZp7HquxZ8eQ/tDjzLJiHAkCHXPVjoRNs2OWepLHDk8RxYLLto0431Nct2fIgaMe3ZEmHMMtV/XZf7JBux6y95Tm1sslYTSmO9I8dkxy40UJnZ7HJdtDwkjyxBHBYq/Glhm4YmcPX0vCCM4ue/TGMZdu9fjiY5ZX3NxnPJzmE18Z8NKbV7lhzw4eOLCNxeHgoe95+eLDmzfcoDbsfG3YaM/9myQOl2dnpp7rU/C/9fb3Psg8fOQYvqfFBz5yDy99wViJ4ad+79ARffkDj5x98cnjp9TZ810OHj/J5labbXNNHj20gTtuXOamK6b41AMtHjw04KItljMXNFs3WganLZG1jCOPkwuSTXNjhLBctn3MM0c0gT9kzxafcwseM23BrVdFPH7Q8MThNoOox67NIdd7U5xehMcO1Ll8V8zODXD4vKAeRCAUB05pLBHShuyYt7TqoESIpzw6Q9ixUXHsjODmK3rMNJp85klBeyri9mvaPPw03PPwYXbs6N1sQ33z3v1HOXP/XyV+a8dVq3Gw/+1/9t6ffvHVItm44yVYE9uNm3c+16fob/X29xLgqytnUFLJ0bBb+8Cf/vL4W17/b382SZIf/MX/fjT6t9+//8qamK71VwJaPowGkkcOwA++ss+1l7Q4s1TjzocCvuvFq9ywZ47PPepzyY4Bm6dbHDsTc8sVIftO+kw3I0Dy1LEGW2cNSyuae59OuPcgXLfLctUOyXJPcM8zkpdfEzHdVKz0Wpw8q1ntWpQX8kOvXeH4uTarPcHzLh9x3SULeMxwbnGekwtw1UWGYSg5ei5gpqHZe0py+Q7o9SSX71rk4q01Pvegz7GlIW+8w3B+cYa9x6AzTrjxkhBh6uw7MuDpw/vUwQtHXtqaGdz6//7jxi0mudkbj8f/4/Xf9/P/9cmnDwazs1OjOI7NRTv//jkzf68kSpwYhBTSxivT3eVDtw1H8u0HDhyJ73vw4Nxjz5xtP3k8ZmZ+kX/3vWNsso3HD9R57EDEgXNDXn17hxdd2eTx/dPc9UTI9Fyf73yh5Ml9Le55asiVe2K2z9bBDhFa4EnNobOaje2EztjSqo05fiHh6ZMJLTXDq57fZ2W1xf3PWK65WHDpzoQkFpxY8EgSw6XbBVfvjrj/acFyf8Arb5bUm2fYf6zFsbMzNAJBb+CxYSrm8FkfX49RUmGNZsfmZa7epbj70RkeOhLx+js6bGpOc/cjNR49OuDWG1b4tuf7HDo+z2P7DY8fjhjIPv/2By6wbXoj+4/PszLc2G3NXLx08e5L9MioH7/u6j33bZlrrYI1Qsjn+lR+w25/bxj83Pklzp1buujuR45t3701ef+O2kenjh3vNY8dhWikadVhy7TliWMzfGnvOb7zthV2dDSdvqY7DHj/55rMtbpcd5lmFDb50lOWD9074I0v7lCrtXjkoMfWuT5zbZ+T5zXdYcJgMKS5ySMymtmmYuuM5CXXDHn0YIyWgsCPCRoxDx1RNFse2zeEjGPYNgc3Xr5AZ6AZxzNERvPkMcnjB3YRqBqBn6CnxwzHMNUecjHQ7fucvJAwNz1gfqrFp+/3efJEyBte2mf7dJt7H6/xxNERV+1Z4ftelnDg2AyHTwlOXYg520l43Uu7XLOzzt4jTRZW4PiZc+3jZ4+1V8YP0Ny8/S//278edGIvflMsrzw1GiwdqzXmnutT+g25fdMD3FoLcPmnPvPFrQneH9z15X2X/tJ9d6s/+len2NDaxNL0HP2RZjDSDMeG7gj+5NOzbJ1b4rbLNIPRBsaRxzBscP8zIWG0wnWXQeA3eGCf4oN3d7jmolVefF2TgyfbLKyOqPsx8zOGy7Ypzi4pljuSbi+hVR8T+B7b50OOnvPQcsgbXqh5eL/HlbtWmZ7u8vFHGnSHARummjxywOeq3T3mpjyOXRBsm/eo1SJmagmelkgpeGjvLFPNAXV/zCU7FL6s86UnLI3GKm98KbS8aT7/oM++U0Ouu2KZG/fAyTOb2XvE49iZiKdPWW6+doUffmXEqfNbOLdUY3EFljsxnQE8c3rIVO/+ZvfEp5oXhq+9y3jyYK9vf9JaewbY/82eRf2mBXhndRmt9aX79z51/Wq3/88PHzlyxxe//DRPHemxNKrzBx9p8a++u8PW+RrDsWI49hmNPYZjS/9MnY/f3+T2q5e48XIFzGCtx2OHZnj3/j5vfHmX266M2DDd5KG9M3zm/hFbNoy4Ypdg45Tm8BmPwSiiP4BOX6C1ZduGBJREypDhQHJ2pQamzsapkEu2Dbj3iYAxMd/5oogkbHDolGR+RrNtTmBMzMKKpjsaM4x8en2fHRvGzLVHKCXRWhBFmsOnYH5mwK3XxWyd0Rw4PsWX9sGZ5R43X9fje1+acPLMZh7dH7D/eMyjRxIi0eN1t4wYDTdw6nyDc0uShZWIpU7MqWWJqo34Z9+5QkMHHDv0sFrqnbnCb13zhd7Yu8vz6r+1srL6eBzHB+fnvzl9dfVcf4C/yW1l8QRB4F10+uT+//fI4b3/4Z4v3XfRvv2HGY1DtJSMx4qnjnts39TlhVdHRJFPlGiMVVgr0BhOnPM5tmi4aEuXzTPQCGrUPI1C89hhxbnVEe12yNUXGy7fHtDr1zi1IPB1RGQVZ1Y8ziwYuqFAa82m6ZjzK4ZjZ31mWhKBZuNsxHLPcu1FI6RscHapwWXbAg4cDzi5aLnqojHnlyVR7DEMFZfviBDC0htINk3HzM+O2Tgb4knoDBRBAJdtF6ystPjcw3UOnhkxO9vhZTcNufXygMMnNvLYfp+nj8QcWQhpTXf4kdf0uXrXFMfPTnPinMeZhYTzSxEnlgQHFiyvf9F5fvS1Mf3BLOeXpzi/aDlw+Cx79x27qDeIv2ccJrvmN22876d+6mdWf/u3fvO5PvX/07dvqvUn7O9D69p8r3Pqn588+ti15xcGb9i//zjLvYCVLix1IhZXY86vWI6uCOY2dPiF717kBZc1OXpmjhPnGpy6oDhzIeHEuYgjCwbd6PPGF/d53S0+J87NsfdowKFThr0nIhI5YsfGkNuvNezaKDlxrsnJ85LlrmEUG6SEmRbMT8UsdzXdvmKmHaKFZqadUAsi7t8bsHuzYX4m5uxiHU8ZTi8ZNs5Ydm8J+creAN9XzLVAqYgNTVjpC5b6go1tw2w7QkoYh4rlrub4ec2JhZhdm0fcdm3M9nkNSYN9RxscPmV55njC8aUxr3nhCt/14jF1NcOxszMcO6M5cyHhzGLEiQXLgQXL869e4Ofe3GXT1AynF6Y5v1jjworH4iosLIecXxqxbcdugsbMh170opuf3L17+28NBsOFW6/b/VxD4eu+fdMwuO39Lkodb5vhY/+9u3D/P15ePHFVb3URIX0sisRIrBVYYxBYpIVj52o8dEhw6fYOV+0ygAcopNRoJQmU5cKix75TipEZcsWuLnu2GeZnNJtnfHwRsNQJOHlOcPSs4IljcOxsyMLKmE4vYRR51Hyf+ZZl28YIIRKGY81FmyM8ZYmMIEp8lrqS4djD1wJhDfPThg1TCcvdgO5QMIo9VgaCzVOGpY7hxHlFzfPZPAvb50M2zY3YODdm89yY7ZssOzcrrtzhUVdNjp5o85WnfB45EPPE8YhE9fi2F3V4w+2WuprjwPFpjp7RnL6QcC4F96FFy81XL/CLb1lhx4YpzlyY5sJKjaWOx3JHstpL6PYT+iM4eGyRg6c6Vz5+4PyLj5w4e9Gx0+c/fesrvjO8984PPNeQ+Lpuf6cZfHmlQxhalOKt9z566Paf/2/vk29+4bHb/8V3ntYLy5tZ7rRZ6jRY6vgsdTRLHVjuJCx3IpZWE86twuElwfyGVX75B5d4/mUNTp6f5cyFJmcWNeeXLOcWY04tJFzoxUzPjnjhtX1ecAX4sk6gAs4v1zi7qDm3LBiMIY4NNd/QrCXMTMUY4Pi5mG4fdm3yaNbHWCtA+PSHhp2bxyytarBOiqz2YRyDxbLcCdm20aM3VAhlEWZMu+axc8uI1YHg+BlNYjRzbUmrJgg8iGPBYCw5tyw5u2Q5vxITBCPwYm69qs/tVwvm23WWVtqcPB9wZhHOL8acX445vQyHlyw3XbXIr/zgCpun25w4N8u5pToLKz6LHcnyasJKN2Klm7DcMyz2JCe7sLrc5b/9y2H8llcHX1azP2W8xlVfFphfsHgEtfZzDZVnvf2dZfB3/vEHeOFtz+Nnf/Znf/W9H/rCv3znX3z+kqePdy86dLovX3jNkN1bExKjsVZhrWNvrAQkIBDCooXFl3Bmqc4DhyTX7lnmih0jGjXwtMT3FL6vadYlDU8y6HvsP1bjs4/4HL8wphtH7D85ZtPcMq974QrXXtLjpis6HFuMWRwIGsGII2csnW6Ta3ZLVkcJe48pWg3N08fh0q2WUZgwSny0jphpwb6TAUoneDJGezAcS55/xYDhQHLtJQndYcLxMy0u3qxoNkJWx5aN0wNW+l3e9wV47GjCE0dH7Nq6xHWXd5mZDXntrT2+6yWWPZtbJNE0R09PcfiUx8lzhlMXIk5dSDh8QXBiNeL6yxb45R/ssWl6mpPnZjm/1GBh1WepI1npJHR6Eav9hJW+ZbkvOD9QrHRjbr5ykZ/6jgVZU+Ki82dOXTwYxrfU2xfX642Zzz3+4If573/4nucaMuve/k4y+Hv/8kPccuMu9cnPP/Pvjxw/928ff/q4OrccsjDSnB0Yrt11nt/8yQVu2NPg/NIMS50Gy50ayx2P5a5mpQcrnYSVbsxyL2axAydXBLo+4rarl/nul4RcvLHJar/NheU6C8s+ix3BcsdJhJWeoTs0dMeWwShmrh2xc5MBBIFnOXXBQ8iAXRsVF2+1bN044PzKmMcPtnjepZZGfYWnDs3SaoaEocfcjGE4git3jvjzL0xz+Y6Y8diyYUoSJUNatYCnj42oe01uuCzmiSMh55d8ts0FXLwFdm4OUSri1CL4nkUIy65NMTMtSW8Y0B94dAcey13F8iosdQzLnYTFTsK5DiyNEnZu6/Pddyxy2xWamtfm7GKbxZUai6ua5a5gpWNY7UWs9BJW+5alPpzrKc6vxjz/8nO87SeXuHRbg6XOFMudGv1xG7+xJ/EbW351sXvpr7Rrp5KXvPw7nmvorLn9nQL4/v0HqNVq9TNnTu184sln3nzoyOn/9MyBk4xjyWAEq0PHKGd6MTftPsdv/OQy1+2uc2FlhqXVBivdGstdj5WuZqULnZ5htRez0otZ7lrOdwRn+hZEnze8qMNrn2/YvaVGGDZY6dRY7ft0eoqVvqA3EIzGljC2JAkoaQk8qAeW6bZl42yE9kYcPhvy5KEAEzd59S0h2lvl4b1TXLQFPvlAzIuuCbjQGVLTijiJmJ2BOPLQXszSUoMX3tjlk/e1uHgLPHRwjEeDVz3fEIshTx5OOHqqhpY+m2Y0M01BPRD4vkAJiA2EkWUUQm9gWe0begPD6sCw1LcMk4Rd2we89gUd3nB7CKbF0uoUF5brTm93NSsdWO0ldPoxqym4lwdwtqtY6CbcdNl53vaTF7hqV52FlWlWew06/YBeX9PpC7zadrz65n+3fecVf7lj+/YTo/FoeMmllz3XUMpvf2cAfuTwITbMz/uHDh364UOHDv7eY489LhaXe3IwNPRHht7I0hvC6lByYSg524t4/iUX+PUfW+LGS2osrk6ztNpkpRuw2vNZ6WlWe4JOz9LpJ6z2Yjp9w0rfcqEnONsxzEwP+Jabetx6RcyuTYp23aPbqxF4ElCEscQYgbEwGAHCMNMacfC0xdiQOx9qMh7UuWSbz23XDojMKnc/Ms0Nl3ocPNens9LmBdcO+NzDAZtmLXuPW/7J67vsPRawaVby2UcUt12pWB50OXJylhsuC7n7ySHxuMGtV/ns2TFiGPf5zMMKEsHhU5p2Q6MFDIYSYwWJsUQxIA3aN3T6lmYrYseWMbdfOeBbnhcz16xxfnmKpdU6K113bFa6gk4fOr2YTj+m00/oDCzLA8m5nmCxF3PL5Qv86o8tcN3FNRZWp1jtNej2A7oDj95A0xtoOn0ITc1cfvm1dvfuS3569549715cXAgv/TsC8r8TAI/jSEbh8HWP3P/JS5ZWk7c98ODDXhhDGMFgGDMYJfRHhv7I0hsKOkPBhaHkTCfm1isv8NYfW+B5e3xWu1MsrLTo9Gus9nxW+5pOT9EZQK9v6Q5i5w4MDZ2BZaEvWOhDlIy57tIhm2cT+gPLa14w5qLNhjiRaGkJI7jr8RonLtTYMhPz1OEamAZXbFfceLkhqA14+OCAhcUmV1/UpD29wn1PeNx8aY2lwSorK202b7Y8sFfx/S/r8+BezfaNHov9DivLs9x45YD7nkqYrU9z9SV9LnQ6PPDMNHXd5KbLLZftHIHs8/hRwcbZiPMLEXc/7jGKFFJCYiwXbQn5lheE9PqKrTOGGy+FMGyw3Gmw3AlY7Xt0B4pOX9LtQ3fgnJLeIKE7MKwOLMtDyemuoDMcc9tlC/zKj65w06Xu4uj06nQHAb2BR2+o6Q0UvaGkPxL0BwmjMOGGG26KxpH812/+rn9wqNmsf8z3PfNcY+s5z2TGYR8TD37w9PGHfnPh3IHZU2dXmWpKhqFACos1Cpv/tbMAhbBIaZFS8+CBTfzCOzWvv22Z73nZMhdvCzm31Cbw69QDn0bg0axrenVJa+gx1dTughkmbBobhmNLbxSwvFDj1ElLGBtOn4sJAgsIfGXRUjAYKgQe8UBz/UWCPVstO7cNGCc9PvWgYt+hGV75vIAbr1zhTz5l8UWDi7YNeOI+xbZpxYb2gJqqE0YeF3rQrGm2bxI8ti/kxsvqvOSGRf7440N8r8UrbrF4wYDPPxDyyfubPHO0zu6tDS7akjA/E3LxhohrLkpQyqCVBSyNIGB+OiCMPHoDn6cOeq5EYajojyT9IfRHlv7AfffeMKE/tHSHltUhLAwU51csjakOP/PqBb7jtjHX7W5ydrFNp1+jl4Nb0U//zeFYMBw7AhiHli/e84DXaM7+5vzGB5Zf+pJb/kWnO/jjqXbjOcXXcwrwcDzAIH701LGvvPXovs/NjgZ9GjUfULgaCAEoEO6ZECCF66RR0qJkgi8lTxyc59EDTQ6eucDrb+9z+1UjplttljsNmt0a7aFPf6DdyRlJhiPNYKwZjS2j0BBGliiyxIm7h7GPNSCVwNOCmi+YbglmWrB5g2H7pgEbZjp8+mG451EPaaZ45fM8rr+ix73PRISjNrddL+gMh1xYanLrZYYN0wPqOmAUKxa6EcoIrr9M02iNeWR/jRffOMULruvxyH4FdornXeXzI9+2zOceC/nsg032nqixc16xebbOTKvBVAvqAXjaoiQYC3uPCpJEEMWCMIZxhPuO44Th2DAaGwYjw2Bs6A+hO4aFvuRCD8ZmxMtvWOZ1t3f4vlcY4rjNucUm3X6N3tCnP/ToDxW9oWIwEgxGDtyjkWE4TvJ/+9zCWf7sLz81O46S//Idr32J7vUH72w1nzuQP2cAH4+WESL5kfMn73nr2SOf22iiHo26hxAGrHDaSUgEAiEc4KUkBTcoZdHK4ilD3RMsDuq89wvb+fyjXV50zSpvefkq11zcZ266wdJqg94wYDD0UmArdw8F40gSxYI4dku9TZcLJS1aQ82HRt0w24rYtnFATJ+DpyPed3eNIyebTAd1br5Kc+u1XR440OHOr7S55dIaO7cM+PMvCJQIaLciVvtjjAUlYL49oNvzMXGd173oAu/9ZIM952u89pYBYbTE3U/OESU1nn/VRl57c5dLd3T4/CMDnjjZ4PGjPttnJbNtQSMQ+J67CKUAISzGgjGWKE4v1sgyjtyFPAphGEJvJFgZC5Z7IPSIGy5f5S3fssqLrkqYa9dZ6Tbo9Or0BgH9kUd/WKwEg7FkOIJBeuGMRgnD0DAaW8YRGDTnF7r86V9+duM45K1v+NYX2vMXlv9o08bZ/zMA/r4P/yZv/o4GvXN/8UPhKH5b99yBDVp0adQCRJjg9IggI3AhJEIIhJAoqZEyQSmRLs8GT1kCbalrwcpIsdSZ4f13Nbn/qT63XbfKW16xyg17OswldeI4YDCq0R96DMeaMFJEsSROJIkRGCtcFlRYAt/QqMUEfojvjTm9NObjD0kOnfI5emoGZQL2bPG58mLF867oooIFnjzcYtt0g6t3w+b5FZa7ba7ZJomN5dMPBowHkulmzKueP+Jjd0ecONfi8ks8zq6OePqIx45NM1x38QL3PtHjvqcF49DniotnuWJHwBXbexw+u8yh0/DgvgYHjzRpaEGgJc3AUvNASrfSWesu1jiBMIYwEfTHgu5I0I0gNDHGjrjp0i5v+ZYuL7omYctswGg0xVKnRq8f0B/5DIaa/kgxGCknR0aS4dj1jY7GTnePxg7cw9AwCp2jExnFsTMd/vA9X9z44P6zb2u1vRhqf9IfD8V4jJ2b+t8X+v1vBfjPvvX3efN3fIE/+cvbvu+SjU/+9iVzx6cbXgvbaDAKBUI6cAlByto4tpYCpQRaqfTRoFWCpwW+NvieJfAsDT9huibojT1WujN88J42X3h8xKaZAW++o8MVO0aMhn2uvtiyY7NiHHkkSZHmF1ikNHg64fh5y9FzgtWh4SP3Nji9OIMNPWZqiq1zml2bNbu3wdV7uhi5yNs/1mR5eYpbrtBcvafD5x8XiNhj44yk2YgZRD7SSrASpX06I8H5ZcFVtsEdz+vx5UfqbN3gc8vVs/yjb1vk3Z/s8eD+Jv2Rx9Jqi4u31rl8y4DnX9bjO1/c48zyMh+5N2BpEHD8rMfp0z6eEkjpVj1jLYmByFiS2DAzF3HtVQPG44grdox54x1jNk4pZlsBUVTj7EKNwdBnMHar3DAHdqa1BaMxbiUYJ4xCwzhMnASKbApyGEWCQSToJx4nTnR58sRdG77zpfXfeGb/ff8Oy49gR/f878Tc/zaAP3T/b3HTLXPi53799jfZ8MA7rph/ojEz49HrehgrHbBxy2yutaWTClJKlJRoJdAqfdQCTyf4WuB7hppnqUeWRmiZqiXM1AWDUNILmxw91eTX/2IWTIyIY5537YCLN4fEMRhrsNYlcaQQSCXQns/+Ez57D9Vo1jQtX7KhIZifk2yc1WydV+zaknD5rlUSscTvfKjN8RPT3HKZxxUXJQzjHl95MmC67jE3ZZluhTTqTgoZI+mMFMt9y1InodOv88KrV3lo74B9JxTT7RrPv2qaH3vdEr/7YXjkUJP+0LLa05xfbrN5Q4ONMyN2zY342TcNaDc6PHEU9p+UeJ5FKetkHtb9z0Icw0WbE267JiaJPKI4wNoGo9Dj3KLPcOxWtFGocvk2DAWjsWAUOtYehy4rOx4bxqFhFJn0ZzZn7mEkGEaCXiRYCQW9JCHphTz25Jn544ffNd8Uey7eddk/+9Jv//Hb7T/7hz/+9wfgP/trf8F/+eDF6tZHHnnDqHv8T373fcdrjz89x6//TIcrdvRzQAtpkDJIA0gPpSxKKpRSqd6WeNppTt9TjD3JODQEYcI4stQjwzgyhKGlHcM4MoxjCGPBKJKMk4AoqbHvUJPH90FiLQ7aTht7Enzlaj5aAVy9Bdp1mGpKZlqKuWnNxlnYuXnMlvlVIrvM73xoisNHprhxt2L3dsme7St88emY80tTPO9iyUzbUPOHBDLAKkGcSIS1xEnISr/G+SWPG6+oc/1lPe59pMamGUGj1uLGyww/84YlfvvDhqdPt1jtG1Z7ioUVzYbpJjPtOjPtKdqNiPlmxK4bQwIvxtMxSiVI4YIJi7uookhxYUETxYooVoSRYhylj6FkHEnGoWQUSsahcAFqKBiHlnHojus4TAjDVNNH7uejlLVHEQwiQS8UrESS/jjGjAdcv7vLW/9Jhxde9iXuPxS//d57fmt4+4v2fOgtL317suHiv32Q/60D/D//1nuYaQbKMwfe+Il7On/8ufuXa4newKceGOP9geBXfqLDldt7KJkglUFKi1IeShn3KC2esnha4WmLF0p8T7iT4AnGviKMHNCjyBLGiXNF4tI9gTixJIkhMTi9bcjBnUkhLcHzINCCWiBoBJJmQzHVkMxMCTbOxuzaPKDVXOVDXw65+8lZVhfbXLtTsWuLx6U7RiRilU8/2KDpaeZnFK3GiCcPwzNHNNfssAzGiusujbh2j+Xc2YSFFZ/hqMGrb+7xpSeGHDytaNYlgd/mmt2GX/mhJe56esjH7trAUteya2PCSkcz3VZMNT1aDY9m3VILDIFvCHSCVk5qybS10lpcwsoIYiOJE0EcC6JYEsaCKJKMI+e8hJEgjCxhCOMoIYwMYYk4xlH57sA9TMHdjSSdCAbjCBn1ufGiFX75x5d49c0J47DJzTufrvWT5p8ee7r5D42c/8CRp/802X31D3xzA9xXVi6vdr/nyLFTv3/g4Ina1PQUncgQq4CP3qcJQ8UbX9rjTS/vM9NO6EmDlkmqs50e9rTGizSBVow8xzRjTxL6gjAS7uREiiiGMJLOQYgL2y9ODEni3IXEpk5J6pZk7oySTvb4WhD4klogadYF7YZlumXYNDtmfqZHbFd5/5ck7/7kHBtrNa7dKdi5xeOirYZdW1b40Fcsy8s1rtismGlDqxFx/pjkwkqAfzGMI8H8lGR6Gg4etax0DecWa1x6UY2XPa/Hx++pMdeCwPdRcppr9gh+/LUX8OQFPnrvDM+crrGpG7FxOmaqqWjVFY26pB5oAh8CD7R2DpMUIEUJ5LgLOzGQJII4IQU6RIkljCGKEkcKkSHMHiOT2o6ZK5NakLGTJP1I0I0lvcgQjkKmgi7f/eol3nRHn295nqXbbzEKA0ajOt3+qZoImu9Qga8R/ntwPPPNCfA/e89fEyfmh+75ypHfOHjoRLtVU8jIoISgKwPGUvHpBz2+8nSdsytL/JPvHDDTjhkHNbqDGlr5eNrD0x5+mBB6Gj900iSMXCrdMY5wTJSyUhxDlECSOCfBGBdwGWOzHs4U3A7gLnAVeNoBpBZAo2Zo1WOmWzHz00M2zKzy5X0hf3pnnf1Hp7loymPPZti+2Wf7Jrh8Z5dB3OWBvW3qymN+RjHdgunWmJmpGN/XCOEuruHYZ7kbsTqwdPoxF1Z8dm5u8YIrLnDngwP2n27TCCI85SPEFHu2KX7gFYvcdPkF/vTOFg88Nc1SX7OxHTPdiGnUJPWaIvAEgSfxPBerKEVqHzqUW1wPqzHkQI8Tk65uqbUYG+LEgTuOIIxtcY+cKzOKHakMIkE3FvRiGI1iTDxkrt7lp79rmf/f9/ZpBD6dXp1RGDAOA0ahR5T4DJdOtPH932nNXus//uDH3n3981/3zQfwhaUOSqkfffu7P/jWw0dPzdW81PrDMYsWgq7wGErJ6ljzG3/psffwCq97cZ87buixaUNIr1tnOA7wvZjA9xiHmsB39l4G8CiShLFbdqM49bQTUuuPlLklxlKA2yUpU+YGrVzCxPcsNd9Qr8W0ajEz7TFbNnQ53xnwex/x+PRDsyyvNLlkXrBzo2DbRp/tGwUXbx2h/VXee7fmyMkml22SzLQkU80EKcecXrAEWiIFWCsII82ujV0eJKE7UKx0LeeX61y2vcZ33tHhA5/3OXY+wNMRQngY2ySKJc+7eIVd39vl048M+PNPz/LwsSbbZgQbmgnNWkLNFwSewPdcrKIVLnCWIq/JsLiLzFic05I4wGcgjxMn6RzYIUxcrUuYJY9iwTCGXizpxTAMDclgzPYNPV5y4wrf/uIBr7nZoEWDldUa48hlV8ehxzjSTvfHmnB4am56dsfbrrzhDSoKV9/p+dPfPABfWeng+94/+ugn737rAw8/vdFai6cFUHJIhMCTgr6U9GSNTqh57xdr3PVEjxuv6PK9rxjw2ls6zE0HDEcBw7FP4HmEsUcY6TxQimNFlEjiWBIlgjiWJIkgMaLQ2kaQqxKbZURdskilySLfMwR+Qj2IadXHbJjuM4yGfP5Jy/u+OMUDT00z43tcs82yZVayac5n67xk+6aQ3dtWeOLYkI98aZ4ppZmfErSbgnYjojNI+ORXarR8992NheFY87rbxnziflcT0+kbLqxotm9s8frb+zywr8fegz7NIEZJ4UBuGoxCp/V/4GUdLttygffe1eW+Z6Y5sVJnc1swVbM0fENNG3wPtBIoSZogIyUYB3WTSjVjihUuToHuCAKiRBAlKbATwSgWDGJBP8HFPGFIsz7g9a9c5nte0eV5lyVsmvEYjpp0+z5h5DMOPcLInTNHSoo4kYBl4ewzG4/s3/LWXZe8xAz63Xc1mt/4xolvKMBXV1dZWO5jLD/4yTvv+a8f/cTn5nrdVWq+IjEpuGWhDbUAX0IgoSc9Bp7iVDfgzP0N7n+yzweu7fHGlw151W0jZqd9wnHAOHYHLIo1UQr0OHEHLU4kSVIA3NiUuU2RWMhsSCVdHYfWBt9LCPyIehDSqg9JGPK5RyR/8YVpnjo6hYgCLpqxbJm2bJhWzM/6bN4g2TofsXNzl5MLPf7gY03icZ3t2wXTLU27Ce1GhPBCusMm0y2LEAJrIYols4EiNjG9yKc3SFjpKk4v1Llqd4uf+AervO09AccXmmgVpReGJo5rjELJ5rmA513S5drdfZ4+fpr3fbHOnQ9Pc6ZTpxkoWj40PYuvLZ4CLV06X4hqdZ0BrHEXXWIEiYU4Ec4/TwRh4pJEw0QwTGAYW+I4xkRj5mpDXv3yVd788h4vuiZiqu4RRk1WOgHjyCeKdQpsRVQGdywJ03PUG3bpPHHXxtjI/7r70lvi7uqp/yFUm1brGzc/8RsK8NFoyKYNrW//8n0P/e6nPv259nDQoVXXaVbN1TBHogRwadGJK2bylaGeCAbKZxBrLoxrfPT+Jnc/NeD5n+3zT7+rx5U7u2ycVrQbmjDyCWOPOC5AnmQANxJjJdY6SWDzgDJN9SvrglgdE/gxngrpDiMWuhG/9aEaRy/M8MjeaazxmasLNm6wbJgSzLUVc9Mem+Ykm+dits0PmJte4dOPGh5+ZpprtwtmWpJWQ9JuGJr1EOGNCQKNVu79rYUkkQzHmuEoIjaC3tDQ61uWux7nltrcenmfF1y1yns/W6O+rNAycoC0mjjxCSPX47lhusZNe/rcdEmfB19yhuMLkj+9c5oLqw1OLQX4StL0BH4mw1JyyYk8kyo4Jo+tIDYQGcE4gVEMobGQxBBHSDVm68yQa3e583HzlQntuiaOm3R6DthxCmy3wupUNjpwR5EkSmSaPRYkiaY/6PHYQ3fNRbH3uxddcuNKOBx+5BuJyW8YwE+eOMSmTZvVR/76A5c89fSBdhL2aDe8tCYiy0haZCJQsXW1HgnoROApix9baomgoQRDJRjogGHisRTWufPhKb78zJBmMOYfvqbD9rmYi7YOufXqHlq4FjEhnFxxWUlXK21tibmxCGlRwnnmlhhkzNNHJQ/t03z8gRZPn2gRxg1aWjFft8w2LTMN63zwtmZ2SjM3Ldg8G7N1fsiW+RXufmrM2z++kS3Tmvk2tJuKdlPQasTUgzFfPqAYhRqv6UBlrSCMJTWtuOGyIfc/Oe0Kn4YJq12PxdWA84sz/MRrz3NqcYn7H5vHk4CIMJADaBxK+kPNTKvGdLvJCy4b8JJrB3zvSxfYd9LwiQdqPLCvzoEjTWKhGY8Vg0ih8tKHcuCZ5gSsITYWawyeSJjyQ2pEvODGPhdvGbF9Q8RbXjWm7kuadY8wbNDp+elKqlPCUbnX7u5yzT1OpY9zcBQLqz0u3PXl9taD5y5545vepPbtP5Bccfk3pp78GwLwZ555Bu1P+Y8+8tAPR1H0G/3eCs2GTxgZ58fGqTSRAikdY6sYJxESi47BkwLPWILEUlOCRiIYGxglHsPEY5DU6PUS/ut7Z7BxxKb5EVftHDE3FfPGlw3ZuTEkikSqtyWUmJtUf0ppEFLwwbvqPHG4idCa42canD7foFZXTAWC6aalXTO0a9CqC6YainZLMdPSzE3DhumYTXMjtm3skthVPvilNsN+k0u3W9oNRashadUNrVqM54V8+v4a44HE2+i6RTOJ0qwrXv38Ifc8auiPJf1hQnegWe1pzi01uPLiFm98UZdHnm5wfLmFkgaIUr3sESWKceQSM/2RptP3adUbNOtjrtw+4pbLR5y80OHY2VW0l/D4Ec0HvthAqLRSc3L+oDWAAWuJwoRdm2Le/LIhG9oJl++ybJqDJPYYhy3i2GOl6xFHiijRaRzkAJ0B3MVEJUDnBoBIf0fqegnCWLN0fon5TTt/49FHHx7s3r373QcO7Asvu+yKvxsAP3fuFKuri5edPHnq975y34NSa4XnuQOYBZUuO2nREuKUzWMj0LHTiVFi8RKnAQNtqSVO1oTGEiaCsZGME0loPCIDC/02X3zCYEn46wfcyAasSe9ZFi+1yERWkSiRShFHGmk0npa0Arh43tL0DI3A0AigEQiadUmr7uTQVEsy04a5qZj5mTFb53skrPBbf1Xj3ic3smcOZhopezckrXpMox7SbAyp1xsESqJkqsFxciCKPEZDwXCc0Bsr17U0NK5lrulz6vwUL7xqzM+86Ty/+QHNidUAIQzWRpjEEsUeYSQZjV0Za2uoadZ8GvUajaBBLYho1UOed2mI70XcfGnMW14+QKs4TQIZhLBVUZ5KOmMkQkgCTwE+o7FmaUW7up0ki3nSeyyLGCgtXMvAnQE7SyzlzJ2zN3klpxSWp598WPqe+r1ef/ClcDx+6huBzf9lgL/nfR9ktWvqhw/vf8OZU0eE7yssAmXBKlcFKNMGBaVcAkYqi0pAJU4bxgnoxPU+xllEn6RRfRbZG1G8NoLQSGIrSYwmMgFJanuVb3mWMrUltQRPQa1uqWlLTSUEHgQaar6lHgjqvqRRlzRq2gG8KZhuGWbbMXPTYzbO9tm6cYm3f9zw53duYse0YkPL0G4qWg1FswGNekKrHnF2yXD4bEDNdxc0ZJV+glGouXizYfOGEd2Rz3BkUxaXrPY0rXqNVmOat7z8AkfOnuMdH9mGlhqLITEJsbFEsWYcKoahK4oa1CSNkaYeeNSDhE7PxRi+l7iEmZegpWuUkDJJC9vc3ZWuuBJOB3JBx6RVlsbFNUkiMUYSmyLeiRNRCvCz56XHWKQ/z8BN+nsH7Ow8gyAxksefeFJcZ0ZvuPLyiw/f9fmPDO94+bc/twCfnar5ne7qz589d+Hn+4Ox9DwX3Lk6boFMTN6Bk5i0ljsRJKk8iQ3oxPnVSZZ8MDZ9bfOfFc+LSjnn5Yo8UCprbiANZlPfXRq0JK1pAU8JPG2db6wFtUBS8yX1QFGvKVp1SathmWomTLdiZttjNswM2LlpiQcOjHnvXVuZqQVsahnaDeHAXZc0a4ZmLabVGPPAfnh8X4NL5m2qe4u0+XCsuPlyy6U7hzz41DSDsWU4SugPdQpyj0atTr02zXe/eJnHD1zg/r2bwSqMSVzgHlviyOb1JMOxpjGy1GuKmm8IfI/ATwi0QesET7vssFImLWJz1ZsIi6DQc0Vw7kqITeZImcx+LVmxGbCNSAPH7DU5sLO7IzAH8iS1IrPnxliMFcTRWC4uXPj3R2stP6g1fhUInzOAj8cDORqNfumjH37Pvxj3L/j1WvrPWRdUJokgkdKBW1p3QJRFpUmFRFm0SZ8b10BrEvLnSZZxs1nmzWLSTFyWrLDWUsq8V1bczK3JEjpKphlLRaloy2X/Al9RCxT1QNCoC1p1S7uRMNWMmW6NmZsasnV+hfv3D/mlP97EiVPT7N5gmG5Au65o1hXNGjRrCfVahO+N6IxcsZinXPyR3RLjGC6Kfdr1iEFsGKR11oNRQm8g6dQVjV5ALWhx0eaIX/nhDv/hTyRf2bsJi8JYQ5IY4iQmjA1hpBiFimEgqY8VNV8S+JbAVwTa4HnO79fKpnU+6aqayhSRVnPmtzS1b1MSsWktS5ICPjHFoyMjmT6KAuDp8yRnbfLV2SXhCiIzxp3HJIH9h075o7j2r9/y/d/v9fuDf9dsNv7G6fy/McCjcQdrw189cfCufx4NTtQ2zCiixKZFPSkgpbtilRTEKgOyxUgH7iQFt8meG+Gu5JS1Te7Rgk2v8CQtAS3fmQB4KrvTwNJJFFdT7iSRTlvRPC0JfDcAqBa4kQz1wNKsGVqNhHYjYqoVMtsesnV+lfv3DfgP797A/hOz7Jp1DkurLmk2pGPvuqVRS2jUIqIk5M8+20IqhSctShQ2obHZEu7xA69c4TMPh/TCgEEK8P5Q0esrOoGm5gcEXpvLd8T8px9Z4hffLbjvqU0YK0mMS6tHsSs0G4eGcc2VuwaBoOYJAt9lNn1t84ytVsbJRFmUJecAL1KeQEoiuFyCc1vSQD4DcDp1wOTJtZTY8pVX5KtzBdg5wDPSSrFhII4tjz15uNb6+Bf/n+943SvE4nL3FzbM/s2SQH9jgJ87cwRr7QuOH3m0rsSYek2h42z5KYp6VAp0ZQSJFCR5ejgDdyY/bLpM2Ty7lrVfOaALV0eRgTo78BOfq+jdTOtMJEUxVVpH7gAu8Tzp6jd8QS1wM08aQUKz7sDdboZMt4fMT3d4YN+AX3rXLE8f38D2GcFcsyRNappmzdWv1Gsx9SDE88acXprBUwIlTd5jmgWZSSKJY8WWGUscR3SjWtopYxiOEnojSX2gqPkevlfD01NcsT3mP/2jBf7NH8H9z2wkMdIBPLFEcZIyuWEcGGqhZOSrXIJ5Hng6da6UdLkAWSTeRPq4DsadXCFNCiHy5JBJk0NZtjhJSj83heRMSsA2pjjfOQ5MhgfSMRiG/jDini8/VL/q8otfIOXffMeJvxHATxz4KDOtbuOLX7jb7/e6aC0IshoTiWPr7MpNBIlMT6rKXjumTjT5l6wCO5MhNge6zeRI9vxZPpsURRGVlCClyMGtpEwbJTJ5AjUPAt9Qr1nqgdPPjXpEuxEy3RyyYabDwwdH/OI7Z3jy+DxbpxXzTcNUXdCqSRo1RaMuqNfcxeFS/SH37xX0Rz41RXqRpbU4tgg0o1jTrCluvbrHA0+3GUROpgzHCYOhohcoAl/he36qn6e5cofh137sAj/3h3Df3o1ERhIZkzZLFz2YY18S+Maxt1fU0WuV3UllSiHjsm6q9UCeJYVsBvAU8EnuvLDuymtKEqQAsk1/XwY6JMakcsYVC3U7Hd7z/o/6L3vFaxrv+NNPDH7sB771bx/gdrwP/G3TJ/Z9+A9atc6L41FEhM6ZM5EgsytWOs1tSsuWY+ziKjdKrM/aJUCbHNhFUzCp9s5PhnAFRUKm4E6LjFQOcFBpxaCnwfdwnUB+WmAVJNRTedGqj5lqDZlpdXns0JhffOcMjx/byOZpzXzDMFWHZk3QrCsadUUjZ++EWhDTaoy4+3Gf1U6NmZkiTZ4BxqTaNEoUG+cUL7++z90PGddFE5oSyCU1T1LzNJ720bqOlIYrd1je+mMX+Lk/tNy3fyOR0URpBaAre3VMHkQyry70tUTrtAhLCpTOjg3558suwkyqiKwqjSIhNHk3pUdjSo/5ylsFd7myMzEFo2fAj1MnLTYQhjGnzw9fvO/g0T/6kR9+00/e99jx1dtu2PW3C/AL5y8g1MrP9VYPf4+JLuB5DRAugSKkY2cpS3XHmfOhSkFjSadn8iPJZQg5e1cCyUnmTpGeZeRy7S2zCrpCd2cVg1rh6jO0xfNcY3HNN9T8hHotplGLaNbGtBojZqc6PHJgzM//4QYeO7KJjdMeGxsJUw2bgjtl75qkHjj2rwUxjSAkNmN6YYBQEi9j8FyDi5S9Ur848mj6I1cuENaYyUA+Shj4jsEDX7qaeJ1tQGu55iLL237yPP/q9w337dtEZDTjRBAmJmVxQS0yBJ7F91zvqk7jDq1cibCSMj0+aVd+9lgqzMovzHKsMwHunIRKxFQGdx5X2eK5MWW5UhR8JalUiRKn94+fXsR75tj3PPbIY4dH4+jf/K0y+OKF08zMbd1192ffde2os4oWPkparDYpa0qSNGNZWEpZ4ChycCelmuRsNJrNgklbBGIFUxRZSVteMzPWLgeV2XKbduioNJjSOu0MSouQsurBmpekujmiXhsz0x4w1exx/96YX3j7Bh49son5Kc18PWGqZmml4K7XnJ2YgbseJNT8mHYzZO8xy12PNPGlxFMmDeIKjyJbvqNEERvNHc+LuGR3n8Mn6sw3KPocxwmDUcrCWqG1lyfMhLBcvQt+7ccX+Td/aPjS0/OMorpLhsWWRlrDHXg4kOts9TJ5b6tUSb7CqZSgstilADlr9EoBclsFeF6hWKy8663MBbtTYfGcAEv5kHqgGKyc4bFHHrz2Z//5j+06fuLU8V07t3/jAb66co6gNn3RyaP3/zeS5W+PwhEqcBagh0XiJlFJI51FmII6t5OsxSSZHBFrlrTMH7a5pz3hkqxxS1LmngS3sEhV1L4omc5PSZnb1wbPMwSeIfBjan5MLQhp1MbMTg1Y6Q245yn4tb/YzBOHNrAhBfd03dKqC5o1kXvlznkxjr19B/B6MCZMEkbDGjXlLjIpRKWSL0ukuEBTOy2vx4xDyzASJYAbfD/B9zSeJ91UAenlAEfAdRcLfu0nV/iv74m5b98cZzptRk3JdGJpxZZaOnEg8Gzq/WdOis3ZO5MqGcDzz5t+6DLOc4WYnpRsVS3AXZWUrpqzBPYK0AuAZ3Zwzubpf6eUoN8fcPrM8rff+fn7khfecv3/c+LEmWM7d279BjN4uBdD/Za4/+gbkuHTtBqBO8i4DyetcE7JBLBN2UpSIpckDtQiXdqyhE1VipQBnh3isirMToIb95Cxd9GNXwwHcmWxnjbpmIkkB3fgp+Ce7bOwMuStf9bgI1+ZZ7E/w/yUZL6WgrvmdHcjDSzrgaQR2JTBnfauBSEQ8oXHfFYin7mASj02orpCJYlrfmgHmpfdOOD+/SG9KGAq71g3+GNXq+5rB3CtXEO2kC5Bg4Urdkh+8592+cT9Q371XZs4tTjDcFoz7QtasaERQxC50cu+cgONvCzQlCIPgrPHcqBevjCFyHtF8vMDExKyDOxS/GRK4C/nMYr8RjVAzR7dKqK458GD1Kfm32BU/c/6/eGxbyiDx1EPpZuXrp777D8bdx+m1bAYE2MQaXRdSgQYkQPYMbfM5Ykta+0c1JkEsYUNNcnaZVmSHuiMWbJ0c+YCqAzgyrpyXJ31drr+Tt9L8L2Ymh8R+BGt+hCtB9z9eMIffbLNx+/dSGjabGwLNtScLHEWYOaTq/QuUuYus3eE1mO+/Mw0g1CzpZF9nkkGz4JsV0pa8xQvuHJIbBzAh5FwXetZ5/rYuOBQp7NhUntPpMl1i2DDtOB7XtqnFZzhXZ8ccs8zc5yL6gxqknZsaWrrQK7TOETZNC6xKcizYyiK2nEJkoLFJ3cUzKVKNqKCSW1e7h4qas8zRk/WCU4rsViJ4EKjufNLT3H9dZf+s+/59pc82u32D7bbzf91gIf9YxzZ9zn82vTW/srhl3Q7QzxPY4lT8z8FdLrsKlswtzFlSVKwd0WOZFqbNJlQAXbJeijbV/lwoNK8wjSZImU22s2kNd8puJWrxQi8CN+PqHkhjcYI3x/wF3dqfv1/bOTwwixeUGNzSzAbJLQDSzOAZtphXw9ctrOWJoRc/UqSrgROnix2E/qhj68UvrR5gEnpq2QXdla7EcYedW/E5ukhq4MWw0ik49ZcrOB5SWrzqdTuVA7glcDVVT5++4v63HzVAr/2pyP+/NPzLMdNBoFH05O0tavBCTT4irwZQmdJn3wOjcizwCKfV0NJrpTFShnoVFZgU2H1sjafuJfMhhzoZYcGx+K9Tpcnn9z/kpqyW5eWVw8+/sxJrr9qx/8awK1JuOTy2y9aWXz67aunHqNWsygVlyrPqvUKtpTOtbYqUcoXRBY85gcBUZIkYkKaZOC2BZuk2TdZBri0KOlGTxTMnaQgj/G1kySBPybwhhw7H/OOTzT58JfmOHJ+hnbDY7YGM0FCK7Bp6j0Dt0zBLfOkUC3V3oHvLpx2c8yHvqw5eLxOLZ3AlbeLUaA8H+NgnQ6PYs0Vu+Dbbu7xR5+ao9/QtNPZI0GYxg3KoLVMx9ZRArlXOlluVdi5QfIL3z/g2otP8Ycfn+XIuSmW4zoDT9NUgkYKdF+6VkIvdZny1S87rpl9iNPnRabTrvXJM2LKSidy33ytpZh3EdnyKp6xd8lZs9V/Bzw+9+UDXH/t1W//lpe/+DVLy92vKVW+KsCXOiF+y+Opp+/ZnvS+sme+fZwoqbmOmew+AfKs3DIbh1a4JCIHdPZ3tszeVuQsULBCRtu2ogMzYLvHbJSyA7dzTTL2TvB07Dp3dEwQjPH1mF4S8nvv93nXJzZzemkao+rMTilmfcuUb2ikzN3I0/cyrVNJpUnqnefg9l32chyFHDwV0A8DZoLUxcmSTpkrkWVhbakmJdK0m5qLt4eoYEQvbDH0BfXIMs4ArpM0UaOcjy2zEuD1glfF/NSAn/j2AW+44xzv+kSXd3xwjsVhk6GuUdOKhhbUlSWIrWNz6aSKlkV5Q7m9sMLkrCNXJh0WoBJLZeAtEVkG8gLcogC+cTZhkr6OjCC2kpNHOjx58NE9ey4222++7kXHrB0iRP1vBvBTZy4w6Lfnj5xtvv/t/+Mh77/+4z4bZxKGIz+f6ZeBuczgxpoq4DONbieAnX6hgrEFdt1PYkt2oM2BXZEnMq2SU4kDuE7QKsH3Imp+iO+FdEYhX35C8hd3tvngl+YYJS1832fOF0z7hqZvaQSWhl+AuxZIgkASpNLEJYZSZyIFuO+5zOfRs5Z7Hm4QRh5B064JMLNbkc52ZBBGCs/TvPzmHu/9XJ/9p5oMa240w9iz+DF4kcELDUpJ51tLZ8vmw30ojmdiJLGRNALNpukh/+q7B1y5c8yf39niob1TLAybjJSP52lqWlCXEGQDljJ7VbrG8LxgTZSOf8rkk8VZZUbPCGrSEcteTzJ1IVkKUMdGEFkYGwiNIAoTts32eN6Oj3lXX/S89ydx5/okXl34GzP4tZfPy/sf2n/Ln7//nqmHHq/xwH7Lm+/oY4whTtICeKNQKZPbnNFlFdwTsiS/Z8BOJUqZwSuFP65HxzF5nlI2ebmn090WrRIHcJXkckTriE4/4t6nBH/8qTZ3PjLFcqeFrNdo1RXTnqXtGxqepeFb6j4pazvmrgeSmq+o+YKaT1qhZ1JwGwLP6W+lxxw4Bac7NZdYSfVtNXFS1M+4PkgH8thIwlCzqS24dMeQJ0/EDCKPcTrj2w9x4FPZZN0sUQNyojMnu3gyGzJKXH34m18+5FXPX+Hzj/b4k0+3eWhvm6Veg4706fsaXwl8KQikawTX0u1Sp0RxkSqRlv2uw+Br6lcmmbxEaIZS4GkFCWlC0DrWjg1EFiLrAJ4Yi00iGA948dWLPP/SMcsnPz8V1+q3qMaVn+KrDA/6qgDvLZ8KNs/Gv98O9jZvv36V6WaClBGBp5DCkEgHcJvLlQLgZXBXnptMh5YAXjogFV6oSBNbKdB3ssSkmtugZOIG4mduhoxY6MXc/bDmk/e2+Mg9U1zoNhG1Gl7Lo61hynOdPHWPVHZA3RfpXaYlp6nu9gVBxt4ZwHWM78fU/BBrI77wSMDxs3U2zAo8aVIdK4pG3xLblV2nJFEMxx67NglefuOAD38lpB95DCNBzXP9qn46WapYpVTuV7s56hTH1QrXl5o1Khjnt9eDMW9+6ZBvuXmJv/5Sj0/c2+DuJ1pc6DQYCp+hr9GeQqcjPTwp8YRNpZZFIUrSsGofrkPmFResYG6RB6BJibHj/C6I89+lHVpJDGYMdkSnb7n3Gcs4PtS85Er7+0Fw9kpg+D8N8KWOYZyMvi8Z3zX9739sL61Wj+mawYQSrcaAQVmFMWmjbwngedOvEfkelhnIKycBXO/kOjWBlYCyBGwhTGoHGkQKcK0TfB1Rq0WMxgn7T8OxM4r3fXaKTz3U5sJKE7wauu3RUJKWZ2lpQ92z1D2oeQ7cNc/NJHRlprJ0F+nvbQpyk4Pc91x72uEzhiePBuB56TJvSyl6UUFBOQhz9dKCOHHjnK+5eMxV2/vsO91gWBM0YkEQWcaK1NozKXtnbkpmQRZaJffZUyvSGJVOH/AYhR71+pgfevWY1926ymce7vOXn2tw7EyNfacbhKsBcaAZaY1UbqqvAnT6mDF5Ll0ogv81t9xNKUBtKMkSyOWIsZBg3aTfTLTb2FVrmQhsBMR84p6Aex4K8HXEz/7kk2yY++pW4bMDfKUjwij8mT/8y33Tl24R3HKl5qZLI6RnCGpjvCgmGmsH8HQzVpOPa5gEtiwFlCIFNaXHCXhnkXqu+VxSw0kSk+7ykBAEbpJqnCScW4LPflFz+FSdux6oc3qlzuEzTQgCVENT04qmtjS1cS6C5wbn1zw3rs2BOLvL9K5SgJNq7hTcXkLgOfZ2F1bI0QXYe6yBJ6v2YC5RKOrBc2cgc1JM2tcYe1y1a8ilGwc8dSRmEHu0IsFYgx+7mYCqBHApBULKCpPDpP0m8mA266OMEo+x59Ouh/zAK8e86Noup1e6fOFBnyMnAz7zSIMzSzWSoYeRmshXCCndSpF25UvSjCfksmU9kFcCTcpZ6sxtSX+ag9qATar30BWnCB0jteWqi2JuuWyB63fcs+GVr/qX/+zHwxNvE/7OdcO3ZwX4g/d9nDBKuOv+s7zrwAwX7axxzZ6Il9wccuXuiG0zCZfsCvGtwEQSY4ugswC1LEmRFNglFs/YuvrJbCliL1g7lyIqwQsSosRy5KTgySOKzz7Q4KmjPs8crdMduzl4eD6q7REoQUNBQxvqJR840FmdRlY26+rCg1SW+L7C92V6AdhCe3uJyyx6TufX/AhrQs4vS8Y2QGuJLy26ZLNNEHgO8qTkOCWpHy7QzM+GSDWiH3kMtHBOR1QUjGllKhlIKUpRbDbsiCImylrLssFIXqLy8RODsc/mmZCdmyKet3vMMBzyD492eOqYz2fvr/Hk0RpHTtSIYgWBwkoFQpLIUjYoT1Kso1Uq4jzzgbNHU3qcuJsEIoPGsOeikK2zEVfujrnj5jHX7InYuT3m0AHdvPueB74HvLf9TzH4+WMfZTTsqdMnnxb/8R+d49P3xfzOB5s8eSjgM/cbpnzDzu0x11wR8sqbx7zshhBsjOdZ6k1SnS3BCOLIAT0LJCsMXr7kLWnq380v8bRNqxQtUWgZjByjHzslec+dAYNI8dgzNQ6dDFjs+4wTH7QPykO1Fb4U1BU0lKWmcOPMVFp4pBxr+55wSY8yuD2Jn8qSwIfAJ3VNXMrc0wbfi9OMaES9FnJhJeGz97Xo9AJmpgQ69eKzoi/xbMxmSgGhkYzHig1zilfdOuIzDw050Wky9KSTKRq82OJFmWedeuwycXYh5VknMn8PY3WlZCJJJH6iSLQi9tzYhyjynJXqRTT9iBddE/OCK8e8/iUjDpyUPL7XYxgq/vyzDY6e80BIBkNNEqqsfBOrM4BPWEbl9G0F4IA1iMQiTCZNDPVmgucZhDW87MYxr7x5zNWXh+zaHjPlWzZMJ2AEv/WBFh/9UoNtc0fEDddfq37/z+6M//FbXvn1AVwKS6PR+L0d82evu+ziHicXFdKTxFa5vSV7cHTZct+Thvd/NmF+NsYay42Xhbz5FaO8125+ynDDNSHNmjuZ2eZSlvVWM5EP5+kMBI8/oVnqSuo1yQN7PT72pRqjSDGKFGfP+RihiayHER5ojQg0Wkp8JahJSy0FdqAsgbKuBlynnq8umNvP+jJzcKu0R1Pk7O17Bt/PCrSSnL19P0KpkC8+qvjwV1ooXzu7raK/n53BMy88STLHQzEaebzutiEf+XKXP//CFP24RjPV4V6mw6MsKWPzbiEhZA4w91aypPXL1Z3paAftmNzTilhrdJw4oKsEpdwg/ZlazG2Xx9x6eYQVY9740gGjyI1z++iXAh7c61MPBItdxeNP+XQHMlVJgmcV5fnOE6418IYbIjZMJ67pIbG8+RVDbrg0whqYnzXMTls0LtFkjcSMnQ399AGP+x/x2XHR8Lrbb2/9nrH2J74uBj+90MPUm+3VY++6/MLCefWOP6rzyQdaJNTTEj33wY21jK3hfMdwftUtMwdONPjYF92VaBPL1IzhlutCWnVXB7xuerJ8qaeuw2pf8dCTPt2OQmrpZqJY7ZhJaNxcYA1SI6XEk8KBWVoCafClA4KvwFfFjD4HclE0PGjXCJA1HpfB7Rg+Lav1MgZPSveYQEdYG3J60Scc1wimJH6a9lZpVV4liykoyKtknebd6UYRRh4zLcWODSG+GDGMA4axoK7dEMyshiRLaClZLm+V+Xu598iSbabInhqTNp8U0iiOkzRvoNK57DFRnKAil0vQKkHKmO0bTLpiGK7cOSK0Q6Q2dDqCh57UrA5cJemkIF9jIaTFWM2a4QXXRUzNGGzsVva6csfOfXaFiSWhyaStAGHR0vCLP9zn5itP8p67pcJeuPynfuD72j/1/StdIWe+OsDPnFvE1ytv+ze/s/LSux7awKAriYQknR9WvRLJAgP3PLaGTrYEKUN31XL2i83SV1wP4GX9lp4cITDZlgukNadCFUGOlKmVlYE6TTtL0o1bM9+49KjTTnpFuvUeObhdW5fCT8Hta/ISU8fgKYtrg59mRz0vIggiTi4a/vQzTdA+nhRFgJnLE7GGwcv+cDYk1IHNDdYJI4+3vGrIX9895JnzLfqJRyN2m9K6KkBbdOKoLCdQDvay0sVMCslSgVd2N3ktjNYKL3HzUrwU6EoWSTNXN54+F+m0MpmghUXYhA0Nw7e+0IBI8gpTRLZ/xjrnPK8xEmAUSaTJ5rHEkSSialKUR1mAm2851zb84Kstr3n+KYLWky8NB8ffZm30U1+Twf/yA3cipfAvnLyASFqohiyqwLLPZ8sAz85YtvFRSWspS+KVwL0uvrMrMwN4NXgRUuYtaEqAJ1xaORCuWtCT7rVOr0GdMlxeSKQpzUEh3Zmt6KovAC5z2RL4Nm9p831TGpwT46Xs7esIKUOOnxMsdGsIrQkkFXkiy1+rdLrL0qECvNTpCGOPufaYXZuH7Ds3ZphoRgkEicBLLF6c6vBsJJ4wpRS6qnQqZKfHWbhZU4EoSSODTgyJkiidbV+u0mI1t62MksVdSINKQS6y98bNvhHS5q5XBvTMAVsP4EVyr/xYmBJlg8KWL9h8OJFCoOisdBiEn3K7934tgB89djwd2DNgY90ySGCcpLUApJ4lolJIU4C+eCxA/dVkCWlXTqmwXoi0eSLzXN2YZU9YPJGCNpUA2fP8ZynZF6Wg5A22vhIO7BVwS/foZ0DPgs8U3Fn3jza5RPG006e+HxET8Ykv1zm/UMebUvjlGo6yg8KEIi2nrkvVl1nSZzR2E2xfe3ufLz8xohvXGGhNPTaEaTpdyaIgKis4E8JQdA5lgWZReuqsw3SmioVEuffURhArgU5kuoudq+WJU6AXyTSTJ9ikNKXEW/pclsGd2rz5XjHPcv5LhXZQBnLVkLATSUOTWqujsWYwTjD90+uuFhWAP/PYJ5mZrr/wN9/+pZuPnUoIFJACKzYQWzebxBn07o2TCTM/S+B8rUktuSDJkgUCVPYoXGCRWW0qTRm7+SaFxs1mHapsoGcqT8rAzuegKFw/4noAzwLOTHfrTJbYVG9Xa8l9L8L3Qs51DI8cqoP23QhoafP0fM7gVFk8Y67CBy73pcrcE48ijxsvGTM3PaSz0mAQKxoKvNh9F5W4AUoqKgMcB/L8jeREpaZI+ybT2iFlSIzAM4JESRJlSJQgTkFeLl7LyiFkBvISqLOSCYFJQU5a0pxlooukXaUYo1K/spbNK8Am1eWmCnB3rCydqH7zOHjpCz/0sZfd+4bXvXx9gHfDPnFn/K2xCG/oDGKk9PCzcRDZYJ5sCwzK7UpplViJ0c0615NI7ZOymZRd5VlWrACHzRl8soRTZ7URaQ14VurpmouzThUnS1TevVIAO2u+deydam5NrrczS9AxdgFuL69OjBBEfPxLAV9+qoUMNL4Ubv52XkFYtNEVFX+T2cxqLb3zxF35w3DkcevVQ77tRT3e8fEWYRLQTyS1xDKOSVeuctWfSeWcmbigno3JwWhZdGCl4E6URCnjGF3KdLSEKZUil2uAbAHySrY5Y/JskS7JVLGWzMsj94oallR7G6qSJS0ms9bNPsQKtBpgos4NgoVvRUT3rsvgh46cYmaq9ao/+9Bnvv/ex1YBWSyDBowQGGlLcwALPWRK6ciyIrFUrtf0y5YYPAV3BgBZAoWkqHkojzbImNttQZK9JmVw8jasCoun3TCeqoLbjVOYYO60Z9NP29s8nTUcxKV7REjEX36hTWIDVJ69LAeYRV9j5mxUNDgT7XpGuulQSRZsagQeb37ZgD/7xJhVEzFMagwTgReTs7iUFhmLvOjM2YWT66cszldW8JRpf52ObFApyLVFGSdX3Jg9V8HosscyL00uLMpydWdRxpw3peRAL6TKWoBX1/YKyG0Z4EUdfVGK7WTV5vY5Zrd2v3/nJa+7q9c59ZnW1PYqwKMoYjQeX9LvjPaMe31aNT8/EFKUe+tKJZDpp6tUjvHVb0KUmLwkT3KgT5Rn5lp8QnNmoC/P9lBKFFo8rbirDLtJga2VKJyU3A50HfeuMdmmzF0EmLrE3oEX8sghycEzNazyUFLiS4OerNMoCfBJFyW7l9v7Cr/agTyKPfZsjbhqd5+vHKgTKZ9hLKhJ8BKLjkUq39IunDjV4UgnFypvWQJJaTxH0SqWuSuu3iWbIalS6VeAO6sFsmmZQMbk5KuHKIEbkU3MWp+917tVKktLJR7FBVqUYidGYG1AHEe0w3hPHI0vSeL4M2sYfGVlhSgcIcyQmSYg3O5aiRUYUS5vtCljV4PM/IN9lY+dM3eZySeBXgK3ymu+C9utkCzCdc+LAtwuyBR5t7jOwS0rAC8P/3Hd9uTAzrOVOXMn+NoldlxXUIQl4gNfaLC0VEcE2vnu5YtwsgalIKeKRZg135bruHNv2ri9bTbMSt708h6PHGozTmoMlE89cVo8K2dVkhTc2VphUk+8HA2VssnZe6bzHstTqdxdokwx0z17LvNt1VMNLrP9jjJpIovmiEkGn2haKdJ9awvtKpiyVUaf7CJLjBuo3x9K/NWY6c4ycTTK//sc4J/8xMdRSnHm/DKtumYUglWAcR9M2kJj54+VIAG+Fn9n/n8hTyYey4Aus3hlvFjB2LLM4EqUWDyTKxKlqwD3dToAyMu2DkwznNri5al4kz5PKnetXOfOM8fh/Xe2GEsfJVWavaxeiJMZzDXLcn4CmdDhqRZPFHGiCRLNm1454o8/NeCJI3Ui5TGQEj8xqXskkIktHSfr2stEeT016XtV9y0qM3liQOcWohttrdKSAJXYYlhnPpdF5Bd0PKHH3fksF8tRYvIM5F8dKxVdbikFmuUL1NXSR4kkjDUHDhzhwOFlynahBhj2zlBrbmm8+93vvPj0uUX3j+cs6izpaue0yN/42aA9eUKFmHy+Vns/u0QROXAmxyHLEmNnQWY2tUnrbJPXVHurCXBn6Xsva0w2bmZI3iKW9XTG6T1CeSEHT2t6oQ9Kp/LETpTHTl641QNSHWg04YWn3ThF4kfT9ASXbxvxxMGQxAQMjU8tcTXbOtXgSriNXF1iKWNLQxZkFkxeJFGyDnedDzZ1P8sGpmpD2kFkkaaYEJBN10qy7v7cACiCyzzwnDjfGVrWNExkuZ91WKAsWcrFesYU6RcpYBzG1KemL37LD/xI44Wv+MHBpbs3pwweHwZ75pVzm/yfe+JoF21dylWQslH6ZtVET/ozMflh1i+EL7N39juBu3jKQCiAXfQxqhIrqspQzQzkFDXSqgTq/Hma5FGkXrgDtwNwMRTIK8uTMnurtK/TD1nuGf6/v2qxNKwhAs/JE2krq0oxOOera87KNAFTsJIxMk/dx7Gm3dD89Hf2+PwjbZbGPqHUDKXET3soi5EPKYOX6+mFyctoLSYFt8EiqTorImVwmwfpGdiVFCmDO0mU5C4KuUwpdHjRTljIlCzwLKzCyrEprXLrA7w4XhXAp7JFSstUK6bZOMs4uOLnPvLZZ+7FDv46Z/D7H3uMmbbHg0+f4uRCzLbpgMArrLv1QPw1o8lJQJdfT7BbocFFAXI5KVGqg2lyYEuBVMX4MVUCtZYSnUoSnQM809wmDyo9bXJwezqrv6iyt6cifD/kfV/wePpwHaSHlJIgK40tWZv5HvHpl3zWasISmxcjEwqQu+VXE8ce1+wZ8O0v6vLHn6phdMBQ+gRS5EkfJUW+RaMDUJXJRZnJJ5InuVRRoKxbFYwVDtzZlLB0mGoxVqKYRVNMpnV9nEJW5UnurJSIjQrgv77bJO4yMpUS6r6hHnQ5vvoM55YsWjodrgE+//BG6jWfQ0d7NNTpVGOtn2ouX0lfE9glt8T9OCvMt2sGylQ84zywFAWb5wz5tQAuC4CrUg21TutSPHIp4qnCLfFKw4EKze3Y29NuatVKx/DRL7ZY7ARQS92T0gZbzyZREKJ6Im1xHNfYdnlPq8QkmZuimWkr/sFLB3zkyyOW+gGh0gwTmdqTInVvRNGMLQu2zIBtbdH1Y3I2L3ojdeasqPR5OvbaSDf6OjvuZZCLdOe8XEqm8sStzmU9LibkiqgCXFiE/epwtyWKzy6S7N+PEwjjOtdd0uaFs3VM7L6rfuSJA2yan73o059/4GdWF84y11b4ujwRVeRX3tdzE+kHya4Ly8TJLgG9ehfrS5QscVIBdnX2d7nDxQ13pwrubGeDjLlVibnXMHg2bqIYOaGVy1wePSY4cLyGIUBInTfnFtWD5fhBlFyN4suXa1FykJfdgXx4vCzazRINVnPFrpA9W0Ys7atjE9+xeOJkii65OAV7lgu9snohWdi5NmVzW/jkRhbDd8qxjTLuojEyHZEti/is0nsqLcKIdJZKpsnFhFQRE3iw+YsJsVDB1VoSdauUO56KOGlgzq3gNVs/s3H7Kx5bWdh/TAubMB6PNnvKvGrUX2K6GWBtSUqs4wKIdd9x7e8ntXjVGiyaccsgr8oTUXImRCnYLADtGJx0FHDZBy/f0y2tVRncJZCn+9V7aWloxt4qfa11hFIRn/hKi4OLdfALeeKVrMvKBcvacRFrGClnz4lai/LuZlkZbajZvSHktbcOePCZBhiPOHFa3EvS7G5SlUoFc5YtuRTk1lZm1eTPZfpcpquKzO7u2CfpiiFFyuomW2FtTkxFwqf8PGXcUntb3vZSBvezuE5kjG0n/kYIhLHEjq9Z7faY2ypfFYbh5jCyx3Q9cH2IMy3JxhlNmDibKJcXE2D9mrqp9Ob5Byj9d2IdUGevJwO0DNBiHWDnbK5EqQm3BO50PmGxbQdrga2LAUH5iDdtUpDHTp6oiHoj5Cv7FX/9xSbDkQ8NjZYCT1SlyeTnL3/ndQHOhP6esAzLvngUa6ZamtffMeJTXx7wwH4f2/QYJgG+IL/QVP7+hQ4uraU5yMs5Cxd8pheYcmyeSKfHTYm1s6DepMGlNKKkv0Up0K3GUIXuLuICkTJwBvRJ0hRrnrgXxd+V57MU+wctrfhs7SpmxoLhSKJX+zGJiOn0DVG65fa6TFy5sop3FaLqnJR/nrP1GoBPSpTqRNMiuBQ5aPJ5eaq0e4MSaW1KAe4C5FnZrEXrYoSyTjdh0qoKdC9na3dXygWYvh8ShQmfuq/BMyca4HkIqVJQpXNDSsGlkNWTWl7F8mNUZu2spqcyAi/btk/mnniSaMJQc+XOmFff3ufxY3XGsU8iPYZG4SdMfJbMC2eCwd2jnfgsqOxiMxjlZkxaC1YKrAJpCz2er6gSpCnNMjTFqiEnAT4ZlzAB/GfJdD6bnZh9j/JxNUbgewk1f4SnBhg9QP/ib38cIRXRoIMYCKZbaakn1UL9iQtpvafreN1rx++ux9xVUGeMXQ4wix0ICmlSsgpzxs4AXkxOzSVKytyOsW3O1Dp/LJ57aXCpVUTghzx1XPCZLzcYDH1oekiRVQ5SsgfXyWKWvmf5aGW1KJnPWh0kP5HwKRVghZFHqxXy6tvGfOTuEY8fCUD7jIzET7W4Mm6D3bI0EAm5PCCZyCCqwsnRikK6SMfm2aqSBfnGOrBLUyTahCm7Kek5NwWzT+Y41gB8AvTPxuDrSZjs7zPLcvMGSy25i9H5+4ljg6Z3ASsEMolQytGxUqVZehNMNPkOzwrwjLXzDy4qV/C6LC5LYC9r7hzkTm+Xs5lKpRWGaUWha+dKn+vyfPAJcKd3L5tCmxb4axW7u47wvIjYJnz83jr3PFWHmgbpGpq9UglvpTS2fC+/WOdWmalNVs5K3oycWEF5PF5iFOORx0uuGfDaFw54+niNOPawQjEUGi8h/0wiKVi8+AjrM3l5iL1SGXM7NnevBdKIXIfnfn/G6NlqmzJ4PrRzAtyVgLMCckt5B4w1OMqwVD16ZBasFO6zC+3q3RcWYzrdAcaAnm46MMWRIInSyjtVfLj1lomv/jOxhrGL5+6FLAO81NZV3lmgAuyKVCmn6Ut3NQFuVbrrYhPUDNBeCdSZc+IcE/eoVITvRTx2TPL+L7QAH6SHECrvIlLpRqrlrGvZESoEnZgAGJXitIK5SxrcCrcjhkpHP+T7xGus1bz5ZUM+e9+Ihw67SQKRUQwSkRZ8paBLMuCU6kDKAMGtHigqQM9+q1LQG5nu55MFxZn2limbC/eYn0NTGtgpSxd/JQFWSBJRxtq65LmefBEVjEnpvssQiRr4eLHGGotu1d0/HitBlFbfTW65AaVkzzpXVvl1wdylD5BfgeWVYZ2dBETK0kK4A5Npu4w5skCuDPK0Na3YbMrt7FAMwC/AXWHt0mPWWJtJFaViPC8mSmLueqDOk4fq4HkgXXDpC1uaHFsOrMSawEqsPWIlmy4Duii5GlS1eNrKZlTqqCSacehx9Z4RL7nFsfgwcSw+Fj4jAzoRReCXZHZhao0l5Yip2LVu0rpUEqyybucOi8t+WoGwAitcbVIuVUpBZcHe6Xk15Qu/NNd9nTyIO0rrgHkdNp38iZQQC9z8FqELgE81NEIKt1PuWKFkFpJkVV2W4v+f7U2q2bqymZ9/kdIXy+2rCcekukfMRP2JIN97J9+9OGu+rTQ8FFuXKDUB7tJQ/Nw9UQlKlwCeShRfRxw8K/iTT7UYRx40vFSekLemqfIuwWVJV4mq1zkbEwzOhEwpbw5g7HpaXNMMJD/46gEfv6fJ/tPu4kuMYpAoV2WYpMkfhNPfiSjcitJKkp3dMsClLbS4TDW6NBYr3TmyUjiAm1KslDG5KcdS66xsJUCXPfoyCU66duveJuugsoSLFcRW4YXaSa53/OHvbGo3/f9y4fzpK3TJchOy0L1ClkAnsgbg4nkuHyqSYmKvysnfZT+X2Tjg9DEdD5wDd+KejUwoe9z5oy50t3NQquAu79VTFFOluz/oKG9m8HRIIkP++GMN/uwz0xAEoGoopWkoS13ZdBwFeYOzV2qNKzKp5USUpJgMSyVALWKJwnbMLlohSRt/i15IJS3CGnZsDjm9KHn4SZ9YuMkDRiiEcKW068U9VXYU1cxg9tqWRI0tao8K+VLq5qJadlDu7Fr3Xv5vSm5S3sRAqXyA8qjt6j2b2GWMIE7cPYwEoxB6Q8vO3Tdsvvyq2z6nO8snpj3Zfc10M2YceYxDS5SYfAfiorHhq2SXRHGA1rWASs+LBEDZPZmoQSmzdqUO3Fa0t8zBUEgSVdLeKt/pobQRlbITkiSrFMzYO8LTEQfOSN77+QZu/opj77xzP3t/QWW8sCx973KgKcovLLAeOEy5NqSYK2jTsdRJNtw0USQq1eKJ5rtfPuDDdzXYe8oDGWKFZJR4aNJ6kexYJ+nZS7LETwbVknSyNu2FdLOxss8mU1BJC9I62ZLpbmnde1iT+uMmDVArq3OVzdeVJpULcS2u1iPvctNGkkAUwzi0dHoDZudXXjOOjk/r2WYHEQ+Yn0lY6XnuC0euI8Rltaq13+vdMvCWHiYYoxxNT8iSso6V1edlgLsukkx/l55nQM6q3TINXgK3m8hq0kdnByplUJnfrWKUjFGpPElUzMfubbL3YKG9pZDO+847aFj3BAomX689RbbyvNqAXPHES0X92ghXmyKLFH4Yaa68ZMzrXtjn8HsDwsTpz0RohkKgk9S+Iwt0M0dFlGFShMApk1krUDYrFXXSxFqbavH0LmyR4hdgpAO+yWRKyQcvg70M5DVgL4N6TVA5oVByJnf3OIZxZBiMEhZXQ05dGDI0A3S9nhCHMe1GTG9YTPVXUpQSEl+FwfPgoLr8Ve2gyS+4NhGwfnNDlbWz1xlrZ2DPmDsHuiozeaG7VRZEZlucSIOWxdB8pRI8L+LIWcV//1CbkfTIJmgVXfPZgK9SDXRZT66bOHj2E0SeJncHuDJT3ZQ1uKjUpyRGEyceQRLzU2/o81d3NTh8RoOKwGgi4TEUApUUjoYsB5sTIM+8eQvo7IJLfyatTWMzm7J25ombCpvb9H2MFAhbrB5rzYQU+CUgl8E+Ce7JGLMct2QAz0Ywx4mhN7QMxoJGJNCRGTJOhgzHMcOxK/SB1BEw6ZcsH4s1CC+xlChfidVETv68XGc+Ce4SsMUEa2eJlCq4TSFRZJXBdcXfTsFc8btLd+lY3NMh3dDwjo+0OX0hAKVTa1Cm8sRWfO/8efm7V1hqrRu1BuiUpEreeFDu0cxOoszveTOEVCSxZtv8mB/79h6/9ic+ncgFBNZKxkY52zDJPoeFRFAo7OLEFv/vfqPSqzCd31Q8ysLxkdIWDG5L587m8V7K4M8ScJZWe5MBuYyhZwF4sdpkK557rqTb5jGogfANeAb9rk81WF4ccvaI4NIdCVoXuwVIIdKlqPqOYuKdRfnD5c9FZenJwD0JhknmzoBdsHYxpTVn77TgvgB0icm1SRnd5NLEyRFTkioZY8f5o1YROoj44McD3v6BNmPjOXkiVC5P8qbiCUusortzSVY5Rc/K4hmuCquwDPosZW8xxuTZzTyFb9xW4DUd8xNv7HPguM+7Pua0OCgSIRkZF3DKhJzBiwKs7GTZkq61lcBO2UKyWJuyuSjY05GOK3W1lcSPkzF5XXqKB1MmuQpmRBU/5cdnOYRlZSEFSC1o1DSvv0zw/JsGTM/66Pmah6x5LGtBFJvcQRGlf1muc64mA4FJ37tqA62jVUtMWOg1OyFRbCnITLfoLm8ZqMqugylJlQzMJSaXRXVgrrvzRzdrcHkF/urzDVbGGbgdwD3ptLcWVXlSWXUyu+xZjlGFse0EA6W/qFT1TW69aCbqxKVEGYUxmjjRTPkJb3jFgA/f22Cpp0BGYBQRTo9PVhdW8fLsTO7yQEVSKKtPyYJNm7J4DujUJ892Ka7K0DT7aN1qYmR5gL5dF0tfTYun12buEErhmsnHYcBqbwqhZ9Bb5xWB0HQWfAK/2BKj/I+IiWNRliTlxyxjlX9QuRbsawKycttTDpjSiAhpK9q7sNLWBpXZcJoC3EklwMyCzGyfG11ib68R8/Ev1njgyTqmpL1dU0MmT6r1Jnlr1uQqJqon59kYKANWecZMeRvscjNEeVxCYiXKFr54nHhoE/OCa0K+7fkD/vQTPqgQhMQKwdholBBuC5Is0BQFqCflSmYNWivy4jtr3fHPd6WWpUIx6Wa8VJjbOhzZEgZMRmIZW9vsd4WlWcHcBIOL0g9EevFl/41NdfgohLOLipnzPv3IR2+YUiijWJpTWCRxstYxWQ/wlWBATJzgCVDnEXN2EUhbSJUJxhZigr1FFdiFi5K+Vm6crtPlqWMibaqrS5Ikc0xkSaJI554EXsThE5I/+XiLcz3f7Xct3aB3JSh2bJiIF9bo7rLvvA57T94qiZ4Ss6/ZajEbdlPpunf757hHt/3JpmbCD31bn3ufDDh8XoKIAIVBMhKytImUA1UGalG5CkvWcPb/eTYzPQ9lNhfueQbmTLZkK7H7XTb73b2/Ka8keYyWfY7Sc8QE2NP/Lvt86UWS3Yx1G3UNhzHzywlWGPSOzSHtIKSzmLDU9RiOyAPNSZauAHsdcE/KkQzQCEpLZFV3Z0tXfuDz+uoSc6sM8BMgz2dkTz5Pcu2dsbjOxgGrGCUTdGoL+n7EODH8wfva3PNI3fW2Se20t5Sua0cU81fyz5qtLOWLeR0mL+O8jPW1GczCtSj2eC+Xz5bLaF27mckclcQQS42KNS95XsiPv7nLL/2BzziWLgNlJHHqqkgjSp8tzVmXUWJdSxqlz+dei1JskHbXW7DptDNXC+LOVx505he9nXBa1gaUZfwU2txWYrlJPGKrasMYy3iccG4xYmohZmwTdLu1jIlXqQVD4uUaiSmofz0GLn8gmPg71v+Qk8XvBQuWB/usw96l/eflevJE2rzb222bbUoSpTT2N9Pd6YzrPLiUMZ4f84WHPD58T4Nx6EFd59o7Z+88sKVyX8/bLy+r7r5+03FlSkEK7EIaFMVXVmVVhtVa8cRIpHFSJQN6HGvqjZg3vGTInfcM+exDytmGSBCSSGiG2Sqafsqiki9la5l5LLb02UgtwgzU6eeUoNLvl722KegyoGfn1wqRMncp2JWsS445O68hUkfZuW4X2QWaEabLHg9jw9IoQYxj9B99osG5CyMO7xdctT3C91Xe1yjWPZlVYK8H/Iwd1rMBJ1lclPV22VuWJcci07/5furuda6980moBbC1mgC6KsCtU3D7XsRq3/LxexvsP1tz0kS4kliRaW9BaYKUXXM88u+WHwNRAvpX0ScZuDMftlQTvkaqTCR+JuvFpVRIkyCNJhprLtsc8W0v6vPAXp9OmKZfjdPjIYpsHwhJ6o1XymiLNcfikjv5BSmd26LSlraCzTOpkiZ8RFpDngNdUB4hkbO4LYA6qQzWI9DidREoSyCbHa+0YKalef7VEddc26E1pdEi9hGxRzSE3jBhKq0RgdI2zhP9hnLyzamCeo0+pXBIMnbPipQq7C2yoLIAdgHuzAcvgkuZD2a3FcauBJRZIqfsokjXKW9I+B+fqPP2D7WwQjvfu8LeFNpbrvO5J5bbYgktNTl8FfauVPIxAeqcyde2suWb7hqDSSRGOl9cSUOUeEhl+InXDzh0xuPtH9ZEcQFyg2AsJMpkgyRScJdb23JQp7oCh6Qc/iJN6WdsTprZFCIfMyJFJlWKEROZVWhFSXtXGJkq2DPGniDPHIOykE1CCjwPWg1Lww/wRAuPFhqcf9wI0uyloKgHkWtPbhXYdg3Iq8C2az6UmAgkK1Kl5HFnzF7MxEu97wnHRGbgVhPyZGLPepXuPeM0eITnRxw6J/nwXU36fQ/qai175zXfpdVFFAme/Duz9nklQPqaDF4CfUmyVAe+Z/UeJaDLDOgSI50Wl1ITRQmtZszr7xjwqS/VOXQ2TSo4viMRgmGavBcChEnBbQuw2xzUqVtCmvzJF5zMSclS9469VQrWQp5UgZ4BW06s8vmxy2WLqPw+ixUKyZNee1kwm25yZgwMxoowdklLvX1jQIDPcltRC9w+NTrtTtcpyCsaer0PJb426GWmucQkA9qKPBH57LvCPcnBnTG3KA9mz5wTU9luQ5ZkiZSpY5IyudYx48hw5/1NPv9o3Q0Hl54D+AR7Z0VernqyFAxTDqImmLy0pH49t5zN89R9qdbCpNnDfGyw24rE6W5TyBQjSYREJRIjFNFY84obQl7xgiEnP+kxNumJdJVQxGhGAqQpbVslRG5gZ6kflS9DmaOS1ooLcuBbIQrAWXdObaqJq0AvMqomT/YUs3KEwJX1lnBEWZKkrJ6tANnqgQASkJFgMBIs4bHcbYE3hb7qsp2rR3X0qeULre9Q0qa7HhQlnJPMW05mfG1gT+rwgrEns5YF6EuMnQM7A3pRNlp1Tqr6W+Xp96T0PEZK16kj/Zi7H/L59XdPkVhdOCdSIYR0+wCJIi1fZfCy47M+e1fALb4GsjMGXCNTbEWuGLKpV2kxligclVyTS+eNC6OJY4PvJ/z8D3fZf0pz94MS44sUsu4LREYxrAgqW6LGdTR57oWnq232edOAMtPhIr0ATC5ZRV6nkh+nzCefaIKoTMAqXRBr7ef0uKQD/F3lpSVOBFFSY5RMf6oxtWtV3Xjtrv5osHy4UZM/rmWcz83WqjTUpnwXZfli10qZcnJGrS2Ycs5HMU8vd0PympKyBVhK5JQCyryg6lnAXZYqupLQcb2Wp5YFv/4nU9z7aNNtyiNdOxrSQ0tBXUIgSTe5smtrtyv3tAE6H5JTHUaU1bxLNdEwXZJ+xWtRuujt2uOakUFpDqCYlHrl31nYMBcTaMsDT/isDkvBVBqiZVPEi4pDhyJRAf7Xc7WWLoQJ+VWuW8zs0fLfTlqlxSZVk/YpeXLJlGIUB3RIEksYGQwep84s/tCjj+3dr2fbMUIIoihhoC1uxFfp65RYubiySs+/BnPnB57yiVknwKxsi1GVJnIdzZ3tMLDuXZUDy7QUNn2e+Al/8pEp/vqLTWxNgVAOnUIjpKz0Wxb9jV+lY77EPjnNrD3nazxwO/G6DAj3vNptP9nhY9L5gTZlbmtNUaMiJNIoEqGRw4Q3vHTIM0c83vZOTRjElNZ+rPEYp7UzIsuvJzYN4GwBypRFLWl2Mx0SnxpATi5kjJzKlopWFkB6bl1qXVRX+KQkR9KLs+p92yqj4xJGUOh1LCTGMI5DtLZYa9GthskBLoVJyzHL9RKidJJK+66UTtxky5Zco9XLk0ez5b0qScqAr4A9Y3iRArykvSsMLpOSk1IGd4Is1Z589sGAd3+yyShJp+CLzBpMs5bCVrT3uqn5MtAry+aEXKmAfX32s2lwl3nPazKa2DUltFaWMpuy5KwI5ZZsmRZnSUNiNIFn+OHX9rnvcZ/PPurswswbRwqM1YyNq0HKi0gmrcMUqbmUEgJFJk1KIM+aHkqaO/sbUUr0lANOkYMeCp+7cF2KjHlpQkDpcJYdpyg2bvcLz20PrgPfMbiWCdiEOIY4EWnCR1DZFlCUgb2OLlrD5rYC5mpyp6THZbGRkaws0VlzgSmAXtHhpuqBT7K3TIoAU0cMxvCrfzTFkdMBVhe7JVe0dyaRKsCeADTrgDk/5mUGmER5FeSTGwhUl+Ry8VVZj6+tTTEyrTiUZRZXiMQghEaGht3bIv7dj3S4718H9EbplzEy/1wJmlFGaFnK0RQgtxIwKahT98Li+j5tFvBlxCgyHW5LSZ7q6ldkNIvgsUIMk4SaAq9MHJkPnwXjsYEwssTG4JnEMfiWTS2kVAyHfZYWB4wliFgikzSgKZ2I8vkq5IutvGk5kCg3A5RnRhdsXhq9u65EMSUfvNSXmLJ5ztwV16S0O2/qeWsdESfwux9s8ei+mvO8ZcbchXPiiaosUaLK2pXE1wRzk7GPKIZursfXa5h8wjkpGiAKvenAbNdWGwrH4HnQaaQDeSIxIr0nqVQxhhuviPjp7+rw3943TZikLA55VJigGJtMi6e59hLIc4kiSlnONMliy2wuQZiCuWU6ZTbPcgoqWc4c6LlLubbwKpMp2c/K1Zhu+xe35c5gZJhrtmlOtUniBL37qteh/RYr5x9j3P8YlhbGpJ+gZA1lX7J6RU0Am+pVWXVfJmTKBKALwNsJmVLdn7Fg76TQ5eWkTuWeBpa1hM/dH/CuD7boDD3nAaaeN2mTrnNOiqxluZS3rMMLq3OdGYSVsEzkryuQXoe11+C9AvQC5FXWTqfCZpKknAQSzkZMpEJa4+pVYkW7ZvjRNw54+OmAO7+ioBGnTJ1+Qum2BBnlXFmA3OJKY8ltS+d5Z+lEa0Se6bSmYOlMvuTB8LMAfU0MVwL75EKYM3hODJYkgTCCxW7Cd3zHzdxx+3WsrvbQvg/akzTqIc1Gj+6whUkFk8xSllnom7N3SZ7kTF4GeVV/V5M5Jb2dDU0vy5KSJClkSrHDrgN4UvW7pbMCZb6vugsspYyROmbfMc1/f3+bQ0u+s4dSv9s9yoK9S45QBeTryZOKNFlnzN36FF7I2olalILFi8RK3gjBemn8iSFBWSGWNfmmsiKTKsIipEZGlj2zMT/1ph7HzmkOnhZYXRZYAqRHkoKcCZCniEuBnUoX4dYBlbJ7FmhmtUg5i5ekSxno2fFdK3fLwWUBv1yrlxjBlv671bFhZAVSK6xS6NOLinpDsf+Q5v4HfTbP+W4+uDI5KCvnJtPhWdH8xJWHIN/jsgJwWQZ6IU8qzJ1KFZXKkILJS7pbmfT1ZDKnALpSCVLG+EHMuY7gV9/Z5sNfaGA9VaTjU2myHnur0gW4Xi1O7iplJ2aSXcQEyCdovMLaE2DPT9qampSyDs8AXQ5As84fx+BSZM/T4DMxxBg86VyVzljyc7+pOL8qICjTrcCicyYv5El6oWWPKWsrCdZk8oXCDxdFsVUeZErnlthSg4vN61GqAM8Pm6gex6zwsQx2IdwW7Y264uVbDc+7JGLLbELLi5FLq3UGo+a5k2enP7PYvYROLw2koeJiqLKjkZW0Kiq/k+s8zzzszPWo/I0oJ2wm/kYV1mBed5JVDE543jILJlWcPne1JiGGj325zucebKS1JpklKFMGz9i72DW4PG+wrBHXlMWWtDjlEzPB3Dn4J7VI6WdV56Tk+yKKwK3URpY5KGU9npgs8VPeR1JirMo3TDXWVRwKK3nl80e87vYBvohdS7rJ7hHY2CVNLIwMjI0gNBAZQWwhzof0u8AuMSJ9LN/T3SoyjZwGgvmjcaMe3Os0YZPr6eK/SUw2QgNMUjwv/zyrfq15hudfsYPdm5uf2biheW7zXA319j/4bb779S9c3TgjVufa8fdFo/M0arKUTCkSNVJaV4FWsfUoZIYsxinkoM2YUFK9OCogtuu8LluBtgD3BHOXO+J1Cm6tYxJp+Mg9df7jH05x9FyQNjEUCR2km+gVSKhJN8g+S25ls8WLZE4xGs7Zh8Vg/nzKrQApJfm2KqI6pN9N6pITCTGqdT8liZQHtOUyhlLAXu5+clMKslwDa/52UgJgLLPthCsviTl5QXHwhHYJH1GmSvcfZQ5IMf5i8m8mr+TJizz9d9YuWmsbPkqvQVQCycp/lztJpb8XEIYRMxsuIrIz//LRx4/cf/MtL3Z79Ew3B2gdE08NMcMIrQVCFjvl2vRdys3H7vuYtUFmKe1e1uQVibJeYCkm9kDPZIoqXBNZkiIZuGUpoMwsQc9LOLooedeHmuw/HEBL5ZLEJXac9s6kSd5nSQk0GYDKzF2+y6p1VWT/1p7v4nXhoqyX7HGsbSYSPoWLIvOMXzV9LwUY43YdzrxxkTF7Wk8ghHFTr6zzxqOx5Yo9ET/8hh4PPulzbKG0VOVBp5MhMYKRcMEl6Qg3a8p1KIUuz2tUqqrHpeul+52w61iGUP25LRyTsjQpXxDZD4SAKBGEoeHc0piZ5SHjcQikm1Bt23E52qvj6ZBwcABjQ3cF5QU+aYxR+ofXrxGo7m5bAfqEJZiDu2QRlm1AkQeXhsJNyQqnSrIk/1nK3iphuSf47T9rc9ejtaJKMMtYpuBWknSH4vIY5MLiVKUTsJ4tuB7wJy3wr/dW7q6vsFk5hW3TtLZxgDLpbEArSuAvZTqlsK7BwLhjbYRKGw6Uu4yEIRkYXnrDmH/6li7/6Y+mWRlmwE4FtREpyDWxFLmDkoEc44BMBviULLLPWNrzKp8rboWbiZPNWJk8hjYFeh7nlJ+ve1yyibeWOFHs2LmTm268ll5/UAC8ObWFWnP7nWePfebXW031c3Ecuq6RRJIkWUS+VkZm7JwDfl2AV4NJse7rknMiCjbPWTsDuErS35X87jQNn7H3SFr+4EMt3vnBFr3ES7OVquKauNl9hXNSKaqiOKCT2csKU68LZosQsnqAvk5wV2aElzKaFbelZBeWN26VpZFvGXMbKRBGuuObFiUlaewhhCExCmJLy4v48Tf2OL+k+J0/azPMpIfJ2JwKyG06wCRzjm0aZOrUcbMmHSuR/q0tyakcoMYFllZkU7dKoK44KBmbTxwzipFtceL0fpQYarU6x08t/fqtN11x58EjZ7JFCOqtHez7yr8ZkFw42mpYWvURNT/C00kpaCwckEoGUkyk10URLBYBZtX2y+VIpbWsYOyyBSgzhq6A23nfZeaWMgbP8Mxhj/fc2aAbpRVjZMDOfG8398UT5aDSFro2zWKum6lc5+CzzkmpWKhfB9KrG5tSel4MoMxW0uIiKDUl572bsvo6HzWR/Uxh0/Y2YxXWKOJI0dKW731lnysvHSOTNNi0sYvq8sfEsaSFscUFnVYQGYitCzLzgNNOBJumGjAWjyL/fbGVYvG83PAxOarN2DRzmQgGEXRGgsh6HDuzcvQf/NCvDi7bs60AOMC2S1/Pjsu+h9lNu5hqLtFqjPGUKbaCw5aYbYKhy1nJScelBPhqT6VBiUkw2wlgF66JLMuTdVLx2kt4+ojHT//aDE8eDLCeLGRJzuCyZAvafJDP5E4N61mD68mUSmKnFIgVPuHXKVds9WnVF5+0C4stuCubuJb6NvOBQVbm/rgtTcYyRqXj3xSJ1ZhQcd0lEb/3c6tcvWcMUVKAPL9HKdhTdyV1WELjQJ47LLZwVXJnxZZAXnZVctBn+4OuBXpFhrBWokQJrI4lpzsR11+/m5/7me/kn/7ot+XHMwf40nAjA7OJjz04w8ceSIDQrVSZDs+i6AqwqTBzAdYM3KVUezlQLLF2ETiWqwEnKwQTpKiCO7MDHbgNPSv5/Q81eWxvQKJKrC2KehMo2YIVUJe+S4mVJ+cOrhkLIarLanF8SuD9Kgi3E8AuI9zatay+ltnLkqWYa2hKQLelSVh2YjKWsxDdzhEikdx45Zh//Po+LZm4tX8dFscmYCyJgTBl87J9GJsU5DbdgsVOMLmZYPKKhShy4K9h8NLxKuRjepGLmNfctsD3vtJw9SVz3HjldH5cdfZkHNZpNhqHzlzYfPjOL16yZ6beZ8e8zyh0PR0yFUKypLPz4e8U9QaVeuSyxs5T3YZKsicLMlNGF6VAU2XZSWmQIkkvjBTsIkaJBO0lDAy868NN3v+5JuMMzBPMjXAWXV5Q9Szs/VUrBUUB7Goyp7j41yL7a8mTSfYuylMndbiBfJRx1RvPAO+K/4WQTndb56aItEZFWImwNr3LNABVCGtJEosvLG96xYC9xzXv+lCLfoQ7YKkOzx/TBrbEyCKQTFP1hkJ7q/QAZkkfW3JSbPZdMqDmx10URVoUzkp2KGVKy4psAKjlou0R//K7prjikg2Hm7X6oZqO82Oatdnx//32b7DtihcebjaDjf3V3h3JKKbmBem/W27NL9yRSoNwJdU+4XtXspLlepO0/FWVKwTtOhq8KKySorAGtY7pR/BHH23yn985xfllv9Sdk2Urs9cSLVwjg19pZMhS9IXvXXz2ibS9rO4FObnFynqbAIjyz/LfUfl3KoVcmY9dbhWUk1Naq+UP5aA4s2nLTk8RJ9i1NUOkP09LAqbbCTddFdIdCJ4+rAnjkkWU2xrFVW4Rzq6kLNFKF7bIct6TvxPrXuB59Drhs2ZvmR0jrSDwBLMtySVbFNdesY1NW3f87rC3/x3TG2/L/ztZ+UdkgNSNT2yY0o/FSZ3VviKMVJolKz5UMW6tqB0RpUBSrKknMRUpskaSiEK6yIngUpa0dgFuV9sta5a/vrvOW9/R5tyy54bcrGHvasbSEyUgi4l9drLlbz3mLvnclfNdOWXiaxH212Tzyiz2klSBZ2HudOils+JK0qRUo2JLQWjRkT8hVazEGE0UKrbMGP7tj3b5jjsGMM70eFTIlFyfJ2CNq8Mua/L0tQs+xdqAM9fjxQTdcqYzH2xvREWmZMchIxXfg1ZD0Gw2WO42Hptqe5+oBapyTCsA/3/+0auJzt1778Wb7EMbZhT5hCOqkkOUJcYa96Sajcwdj+xv1XouSVZ/Mgnqwvsug1vKBBUYDp3S/OnHm5xd8MFfD9huj0GRau7MOdFpYmKyU6fcCJ2DmQphFcSU0mZZf3+dqmQNc637+5L3XQ621vXIyVL3k65KOfAsAs4C7CoHe1JyWOJQsmVDwlu+dcCeHSGEmf7OHJa1IM9S+2PrUvsZyHOg2wltXk7rTwSYuQ43FO7RxHfPDnGSWLp9eOqgfeg3/vsT97Y2fVflOOrJA3vdVdsQQnDm9IgkHKF1KeW+jh1YLXu1E8tnNXGTedxO6mQ/L3xuB+T0b8osLsoZywTlGw6f0fz735vmCw/XnO6oeN1lkDvPOxsDoeVarb2uVCj/Td4BPuHVUsi3bEmtXBiTfy/Wd0myq6K8F86akW5ZoseSF145D9zm/rd8lqIsgQOVMDJNErm8hhAm98qFtSRWgXHCw4wsL79pxK/8dIdf/L0pjpz1HUNA1SPPlrx0Bm2cShZXo+5WTFL97bS20+ZGFqPf8tjDOtwU2c/0PaRwf2Hc2xnh6r/jRDAcG4ahptbcjDFmEs5rAX79TS9FShXGUYflC8tpA3I2griqpdcDd+V57pWbiqTJcyJUogAAL6dJREFUgF++APJHUZUn1dcxyjMcu6D5D78/xfvvbBCKdDeqnLHLIHeDaLQo13mvs/22sGskCeuAMwdw6W/KduBXJe7yL9dJXOTloOUcfv5YKpnNXpfqxMlAX8lsFo0Q0qRaWRTJH5cJTQFvbGnxcYFnbKCmY978LQMSA7/4u1McvyDAS/+wDO4sTZnCyVhBmIKUtLfTkHbhp1pfpv99nvUsLZVi8gBlIDfFHHMhQMSu73LTpk287ltfGcZJzORtDcAbzQ3UG81/vWXrzqui4fGXStvD99x+N0rYotYkB2SR8Clr8irgHZhFif1FLklKoE6Z27kp1aylK6JKOL7g8fO/M8UHP9sglOnWa2K9ezljWRpen5LPutKEcgA34ZhUAF9l6zW0/Te4TeK6ktFkbXo6Y/xMwogJXZ79TGQsnsoWUQG5zMVtFvIJofKG4ji2eDrhe189RCv4hd+Z5vgFn3QOc/UiNDjLIz32BkmIkxmeFHglVyjvAkrJxrkrxXAhSfHd8+ORlgmYhPziThLDhpkmu3df/MWLLtr+r3u9/prjKid/0Gi2eObxz3aVru/3PJ3U/IR6EBN4xV7uqgLubCkvB462ElCKSims87KL1HxSAbfMwF0qrJIyRqqEM8uKf/u7U3zwznXAvcYWdEuiJ6tdOuuxdwbmciVfzhKsva8XYGanogL6/wl0TwaYk7548cNUApT0diZ3DNUh+tlcw/I2ffmcw0ybmyIBlE2stWmm05XXSnQCb/qWIf/xpztsmSsFm5P+eH43qS53ujvMS24FYa7LnfaObZbldLo8e52VIZQTQnHiEjvjSDCMBONIoLSXtFqN/X/1kc902+3WmkOrn+2Ym6T70xvn1C3ajm5UKiGK3Pw7Y7NRjeUKwZJjknnZpZoSUWHtkjwRxskXYStyRKS+dzbuQSpD7Ane8ZEW7/90g1CVAa0nHkvgFmszlpO6u6qrC4CuNx6i7H+vp6+LAe3ifxbf1WzmmqROuW3NVhJAWYLHyZvybsmumCn3wktMXmhxR7qkBVmZT55kP0OBtIgENAlvfvWA/Uc1v/6uNjEUJnMuUdZ8KyyC2AoS4XqcPVtIEiNAlXxvVW7dyaZLlYgjc1TiRDCKBZ4SbJPNJxaXez89P7cW3LAOgwNcfcMr2TSznGzZtt2uDLqMog7NxhipDK51v8Tc+SgHu44FWM5glqoAhcnBXC57lapkA5bAjRZ85t46///2vjzKjqO891dV3X37rrNrZiSN9l2yJSRZtmRLNtgGzBYnIUASeMfJCwQceCwHnEBC4iQHYsx5hJjFjxCTYAceBgMGY4xjNhvHq0AGy7Isa7d2afa5Wy9V74+q6q7uvjOSjGTZ8OqcO/f2enu6f/XdX/2+r77v9vsKaFKmTK0JaMN6I6YmcV0dA9AwgR7rxekEowmQG5ba5NomoPUOmTDZUwG3sWPiZxmxVc+oJnLklo04VIpEoriqIR2ag8/4XSsp2oJrd76y5pyBhxQ5LvDmK2u4fH0dJOSxl1OYEybSLzkjQQjA59LF3xQEnjCVFhIrLZwkJzqIpIoUcoLhJgHydZS7mpi3YJ7Ye8wPf+8Nr2x5fye14F0zLsNEtX77Nx58ZpFDDxX/56sJglC6e3UsOFXWlyW4dHYAqa00Ma04MfcJo3diKicWB7GA7z3o4rrPtOHpPTk1YbgFsKPlmJqwzMDStOCp6WgQCUDHmE06WdK8JeG6T4H6pOBOeTmy9IREK83E+Jn4FD2DXSQtvfnOE1YcAKeRg4eDgCBWWMBl5+ecSctJACIERAismOfjU+8bw4cY8P0HC8qlmO6yIrVSAKp4SiikNzOEtOZaAJCz8aUFF1qlUdyNgABUJfakApYFvPUVVaxe3Fmds3TN7YwV8PHrWt9jikkay80XX//e/pvmDmwYHB7sw+4DnajWHQQhS8yFMx05kbcxNVcy4egxte5oipmkKhrcjMgkPsQCvvuzPP7qsxU8vVeBO6N1J6kJoWpQCaMyg+bfSIN6CrrRSlVB9mU2kvowpdYtplifilFJOHtgOnrMdYbLHshw70gXN/m4yb3NuBVhpGgWVFVaVpbco1g628cn3j2G122syYgqzlvwcMO6a71cWXPOpTVvCmXROZHauQraiqbAGf8jgRTLSi6wrFeg2+nEgtkbB4t8x03nLxmY9FZPasEB4IpLlmBiYhysvhXD42OwmAdGfDCmdMmEo0Y7ZoQRb2JYbpLUveVyGFl7QmJwS1oCfPfBPD7yuQqe2j0ZuGlsuSEdOnZETbLJewhNWu8MsNF6XYTZlITYInjQQPup83CRejyRtTa2x3Ep0qqb2rGZPiFSVEgray4dPETNvDe5OQSVll3FqXCDm8uKrXGUDDxgxVwfH/+LMQgB3D2pJWepd4pIghEEoZoOFyqDFHICh8jMs7ZiClTIUoaESO+zawtUXODQUCeQW4ZcuTzlvZ0S4G2dfU3fr75z8YLeb0wMDxX1ZetBo4zjiHOSaLATg4LE4FXLEJHF1lw83i4pCiyC7z/k4sOfqWDbXqc1uJGy3mpeZHJ2vPxhjCIGkbTeGUqSGDCmwJwGO5ITH2IN11w8OcR1Su4MPUEMXKixV6SHw6QfJkePFZXYyouIlkiZ0AC7lg21uqJGd9H/QKVGDgoQwWS2M/3fewLnzfXxifeMgQvgnofyxuBQXTwR8rnpxCjE/CxzlWvaooEeEgJHOYAIIaAQ4Or+6Mk19SZHqdJTDbl454zpvc3nDXDKR/jAzFmPF/MXj/38wWeLlDRjd7xRUNXSg0RDJQFiZ5C23nKdoiMK+MRw6BAqIBjBDx5x8aF/qeDpPcoFb1rqCNA0AW5KYoeOKQdm47zTE3jjwWY6YjCbTowkrLyGcgT4yXhLal2KhRgbSGSu06G0yUGnAW6zM3DjFGoeJ0EM9IRGrnMcKi4u3YzSinMhlGVXCbgVJ6eQLEMSIQp4IZbP8fHJ/zUGIQjue9hFGP3PWgpK/wcq4keYz1XSpYBItSUgQKh6NYEyXNp1zwUs28aVl186NmvW7McPHh7imKLRqTaWK91wC5UTnAdvHJiz3LdYUyWbj8tg25acxW6pBJe6ikJcTSEw4rnDmH/r5DwkjKiKoAQ/3pzDBz5VwdP7dHxJq8GkybulxUk6dMzcJqmoO9N6o7UlT4I8uy7Cbmo/c/3pNpF6ReuNlRkHJwzNG/HsHzN/YeziNxQVbvLwrLoSTZTQqooRpCV0YJbQnJxg2Wwf//z+UVx2QQOMp/TwRBx5ip9zP/MSnMPnArUQqIYEjVDNHgol3a82Aqxbs9L3g+CNHR2VE/3906a8r1MCnFkOqqN7MK134OD0gYW7i6UiGPVh2yEcWxZxsi0ftuXBsT3Ylg/L8lWJvmwUYCY6MMpGBXBGcd/jObznk23Ysc8xykvE8l8C3KARwigxqAnSs3NM72Ur6z0ZZcmmXWsJaBP46R4Q73JScLdy30ceS6T5Non4eFpK5FpGTEmGAsQAvSkjIjH7J3IOcWoMSjWgkw4hLR8Kj2DRLB+f/eAoLl/XAAvDKYAdpuRFDW4PCD0gbAChBx4GqIcCYwFBNSBohgQNT6BUrmDZ8iW7582bc3Dr9n1wHHvKezslwAGAUopDe/97n++Fb690LgWjPnK2j5zjIec0UCrUUSnVkXfrcOwmLMuTIGd+0oJrjyQJFUVRergjwC2CH2128b7/3YYdzzkQLQeUGtSm55IkZuhMls876443LbNIrjMQmaEtyFryJHhFYj+5fXJ4i8wHtWiYcZOCxN+oXW2IQmX1PqYVNztDInFnwmLT5HLas6mjDyNwpwEvLbpoEiwa8PHpD4zi5esaoKGSSlqBOv3SAOdNCfBmDajVIJoNNAMfYwEwERDUvBAXrl4CEQZvv/veh/YxxnCyZp1sh0JlDnyvCssuHB46jJ+NBI9vLLlHUCo0kcs1cXiQY+8xYF5/iP5uDhESBIG8WebjJ4qTkYiDA9QR2D9k4+EtDq7/Qhk79jkQTiuNO0VRlFdGh8E6BLBgcm/tls/mSExaa5GkIC2oivEPGAPR1AATyc6hZ4EnDj/JfY4wLeITJbyWBCnQCmOASox9hAQ9i60+53EO7rQ+Lrm7HmBKmdUcgMqZOlQFZMlUFPHMHiiFRd1Pn2PJbB83fWAMf/cFgUefyGH/oKUCtBT/1mmozDuif4bUpM3+nhBz+0LsO2bj4AkXnl3AkGWje3o7Vq1a8rPffd2GwxMTdZTLhV8f4ABgO0VMnPjpzpxbumna9CUbjxx4Bnc+5GC46uKJnTa2bLOwZnkT65Y0ccnKJlYv9hF6CuRRsqA4jhwEoA6w46CNG28p464HXRwftQxwm68WAFcAi622Uk1URzJznJjBVRqUp6KeZCYZqwFPkoWQhMqSMevp9a2ALYzNCqT6mZvvSC2nlZIEVSFAFHFIjAEniTuHjmEhkdWn6nhZ8wdUhtTqsFhKeWTh9fOE+ijzcsovpx6weJaPz1w3irsecnHjv5Xx7AFbWqGo9xovfdG+wMuWNHDx+RJHa5eH2LzNxhPPOhisOrjrwTLWrlqLYqXtpq/evXnnH7/uglOB7qkBHABypfkgrOtxlj925w/uOXj1R24+ivFGUQIuCLD9QBNf/68mrlw7gY/9xRhWLfTAfWNkREQECJoDdh6y8Q83l/HN+/JohKooDmn1IjHQo7yCincjm7gnES2IrEoy2bpk+GsM1Gh1Cx98bIcITmqiT6NlQJ3xTCY7QlJOVFYbQmNOgpwTVRgKRuShVEwAIj2Vir5QxJ1AauqGhs6hrLyIvoeqNM5CVZaggUBvZ4i3vqaOnA38/efK2HXQkkk+oY2e0at9jpWLPfzju0bxyjU+mGAIuI05XQx/sCnE8MQo1p8/H2Fx/p3rVi16/Ojx4VO+l6cMcNsdQKO6fR8rXPzex3bsZ+Uye33O8RCCohYINH0bfpPivs0Cmx71sGqpL0PDEtaOgNrAroMWrr+5hG/+MI8GWoG7FS2JzW48qJRWWxdrjXIHplSThDWOx6bZdwXkRAxK2sK34OrRbsQA/KkiObOrtHSJGJNJrLqmNLq6mdxXRLRDUFMjV3ydxtYbSg7UZVIQOYm0RecRXQGlypJrcMtSN1E+OSDezuWEiZzN8cYr6oAArr+5hN2HbMAyrLi2/KHAq9Y1cOUaDyJ0MF4voN504fk5hCGB49j43Y3T7jpKL3rv0PF9+89bsODMAxwA3OISfOcHj+z/49es2+p4E6/f8uQueNzGcJPiOHLwQh+BR9Hw0yMwBUyHYO9hhr/7fBl33JdHE1SiM0KeFP9jxcQYUCKmJq2S1bP0wBJxcFVW4xYRaPWM7VbyoAnuDC0xIZkm26dpzSOgGp+NsWRCF4/UE01NCGJLbVps0xuqzsNVXEdSF08qNJwTea8pVzHkVIGaJyy5BrOeREOogCBUh5KDkhAIBPIWx5teWQcI8NHPlLDvsCVF7VQ8Q87msAlQ923Umy4makVM1FyMTxAU2xdhTv/lW/vDx/f3zNhwWvf2tAAOACsW9mHWwPRPHDu4e55fG37z7gMjYBSo+gSCc1x6QRW/f1lNDhgM5Hic4BdP2Lj5jgK+cZ8LjyheAZp8mUDPfFZzKpFOdWzwbXPCQoprm1w8Hfed5uEZCpJeZ3L4VHs+bMX0h8QWW6PcAHdsfKEnJQuiOTiJ1kOIuH48YoaoU2ObYbUR6HX1BkNGlF8cT5jQllznfKDQMS2qKoOcryMHyODggUDO4njzlXWAA5+/I48tT+vCtOpuUYJv/bSAS1b62HQehx84GJ0oYGzCQSPshoXFt3f2rv3E0ImDp31fT66zpNpNN30a69df3Fy6cMb3H31iz6UI67NcW8DO+bjmqiN435tGsXyuDwTy6RNKUOfArXcV8OcfL+Pn2xz4cT4EZDyU5pzKhFQYO3O09bb0ZAYjzwlN5BrU2bbizqArKBOSTN2g0zPEKaGN7Ua6CKI+E/VZdiadVsNME6HXE4P26OUWHZBm11Ga7HRyOXl8TKdIpkObFA0wfq1oah/dK408k7qrxmpSXDcn+mVLGAUSHatjVojhzWQEWDo/xO+93MPQKMH2Z234XGGAUZwYdvDErgJOjFuYVnFxfKgd9aaDSrn0oNN20R88t2/rxKIlq84+wAHgK1/5T1zzp9f6q1cueuuJo/vnthV8vOZC4M0vr2FGl4wWY5SDOQLVkODL3yngr28uYWiUgSeATZIUJMG5de14SU0okb6fxCQGs8xfquRfPFE6Ll6rfzSS4DXfSRyQlXgnEaBjYJlAM/OgpABPWwPcBFgGrCS7rVXHoJOC2ih9bRwbgTza36y5JKIOoDsB1ZMPjGCcmNKpX5dEpxSJDhNNIIm+m6CUF7h4pY/BCYKnd9jwA5XkxMnjxEQ7tu1ux/hoEWHgwnK6sGrd63aWi/SWFSvXPx+onj5F0W350gXgnD82eMna9Tueejjf017F6HgFOTtEpeSDkCZ2Hmb4zv0F/NMtJYyMqXRESWnC4AcGJYnUErlN69226pEmcOOgqpM4dCDpCyJwJLejxf6J9WkuHi0nCUmanpBJtyRbMtakhUpicHFhUBlNTeIUrFoejL2cmj4QGMfCkBmhKYm8L4LoPOMyQ5bgXFGXmJNzzkFY7DiClhaFkBOdhXymZilZCAEeEnRWOP7xneNwbYG7flrEzuM2AAtOzkFnHjgxxNFRYlh9wap6Z8+8xxIZe18ogBdLJdRqtb/esGGDaE7sfz8LtrqEyCAsxw7w6HYb1/9bGfc/4aIZEIDFDyA1RItfaVnQ4N0RNaGihbcyPZlYJOhHygglnTiGdUlw6qgfkpZXPCmqjZ/0U21aTGipqpgDTWNbxtljrtPUPXIE6U5CoiA/yctjtUZKgiKSETVvlwNVkhh8RtybU3AKmVo7UlcIiKCAilpM9H81UuYB0Fnk+Pi7xvDKDU1c/8V2PPp0HsKRqd/qzRC9fTMaa9et/7Rt23+Tz+efL0xP7qqfqhUKBf7ELx67vru768aZMzq99vIEyoUaHt1OcN3nO/Ffj7ahGeQUBSGARwBfPzUDDRrUejCpI86ITtSTjA6MQZ79eZ80ryCyunfaUidc9CZ40+sn6TQJUJ4Ouo3vNtdHIbCp3aMAKnVgZkpb4nMq/XJCkZlqGlsqgVDKpS8ERagmQ2QnUMTXoHsfgXTu0Zy8ch4QOIzglRd4uPFdI1i/bBjNRh1HxwXauqd7PT3TbnzkoYevz+fzU0YLnqw9bwuu2+JZJ7yQTLshT0re0An/Hz55O6XffqgfT+wqAwUAwgPCJmyEWLrIQ8MDdhywldsxhSKirISenQPDFW8MDtVeiQAqSe1bRA2itefSBGbL9xafYyC2Jh6JmJVWoD1JaxVNCCBBWTDZNj0RgsR0Q7rnReR4NK24qa4I+QeCU5m+QfB4G9S51E8I19WRKZf5VqipoujoRZ0VKL4ZhAHP7LfR8IBls30QQdFs5MC5jbWLBD79nnF8/QEPdz02i7vtPf9g53s+tWX3sPfr4vM0H0Hrtn/nf6CnM7f8+z879Mv/8Te/ZL6ooJhnaHKBuueB1Ufw+y8fxgf/ZAyDoxSfuKWMn2wuqFyCNszCUDpRfTRxmMr68a0ywkZWnSapSSLfYJqypJSTSDVRA0hzQBqrIfFnWRiWGINQI/GmmYxTDTBjFSb+TEic5DO6psT16eSlxgA689lIcKry1cSqUSrRqT4ukyA1m7ApkdTJLOdoZEmIM/6a9UvNdHsqVJoFYNSH5XD86OcubryljMExgg/9yTiu3hSgXq2g2iggDBmKrgc/HMN/731DeGR8ycqcNfHU29/ypl8bm7+2BQeAqliKgY7is3AHrn3b73Tf/NBDm6lNQ1R9igMjwO9cMYG/f/s45k/nEDQAxDiOHrexba8F5E2TG8eaRGkfkKzEYBmgTXop4xnyuue2st4G45f7tVgX9fy01Sdpi02mtBKnYj0S0YKaO5sDTCA50ISxj2GVibbeMGgK0XRGJAaT5uATUKkbDFojZW4R78t1WXsKwY1IKyo3EpVBiyjXKVVRhxCA5Qhs3W/hxi+Vcd/mIgRj+MjNLjx/BK9ea+PEcBvqDQu2xTF7/hX88guXXvvU4UXP9paPnAloPj+ZMN0+95l/wxVv+ED4qktWPrH32W0jRVZ/NQnG0V5k2Hh+De9/0wRmdDH4ngUKoK8zwMETFI89k4OAFVtwJQsSQmBTGbpg07g4a1xPJxU5SCcPj9XWzbTWGb5u6N/m/M1Y7kNkgfVnLb/R1LspKcblvtOfJ3FEmetaUacWY4uEJxYkcQ6ApFIok8w5dU8kBm9LdFvj/NEiib9PLse6t/xuae1tFkIIjv+8N4+v3FdBk7iAm8dIo4xf7qogZ5dAeRuODlrwxAA4nfmBeUvf8H+684eCvukvOyMAPyMWHAA2rlmAQ4eOhG97y2t3bf759PEf/uhHZYQ1rFxUBg8EBkdqKLg1CEFQaZvA4vk+XAeo+qazRwLBJllwM8PSRsPQFNdOa8gZD2WKI7d62OYx5gOOFrXVJtntZ4LvqaBi6QmMLHkcOiuJtYiseGTwM2qK5M3aquuYk7QVj1QWEifXib9GW3ZVkRgxh+dRAk6qyToIl1SGCyp5OCFoeAQ7dtkYH7eBsgtmF9DuUDg8h4d+TjA8i6FvWieWrd40vmjJyl1DQ8fCrq5lZwqWZw7gAFAo5NFo1O66YO3qv8g5+PTTv7q/k5AhjFZdmVKChbAtHwBVU1uVqdRTz0icpD5huQkMiy0yFjqyrEhSkqQTooWyoqxa2kppuKbpS0ZtSS62OAemRH0UGj3ZcmqdSVUyigkxg69MihLTFABxKW59bi3xcQJOEQ8Po8ApqLmbiFRCTVdkyTXoFSAAQsXp9VQ3CBVrThhAHRRtii6Xo7Mg4HscjbCMFas2Di1cvPJ94+PVu0ql4pmE5JkFeHt7GwBgYmL8tjVrL7I6ysEnDuy6v6fRHETDs5APLAhQ+D7BWI3KdL1GYVZG4woMyRk6LeZZ0izYE4BU201QJ9QTpJYn2ZYGKUmtN7l8KzA/L6veItgq8x45d4wNysET8fFINVFBWWrfKMCKmGElInIAKc0kCpwCp6CUx4FUGuQ8gXj1vzJ1P2WpQkIIygWZKYEQCpcCBUsgxzgqlXZccsmm4xddeNFfer5/W39//5mEo7zWM35GAKVSGQ5r/PuyFes+7LYtOz4y7sDzGSAAx+J47gjFA5vzaPgOYDkAsWBRgjwFclTE7niVz9uik4M7QUUSFjs5FU0/AJN6JKqkZbalaE2KiqQrrJm7EDJJ75iimdGCmcElWkiH6e2p9ygfcTSKNWhJZi5nnKQz692Mi8vqZPpcEPBQTmULVcq3MEr9pqq3hRY834JjW9i0xsPc/iZEIDm6xQTaSxSXblhxfOMl6z88XvX+vVKpnA0onh2AA4DltOPuex68Zbxevq6to3/IZj4cO4BlefjvX1m4f0sJYC7AHNiMokCBPBVwtQWn5mwdkZHRzEFWwmOJVDw4WnBykgR7WiOPktoj3iFBUYAWuE1x81NtBnLTqdzS+yUBjAR4E8dEUX0pl3xEV5BZTmel1eVDzMhCSTtIlP0q5BQ8VOAOGYKQIQjUe2jB8x14voNNLwuw4fwJIGyi4QvUPWD2rBlDc2e2Xffklgdv6eluO1swPHsAB4DXv/41mNs/fuvAQO97pvX2j1eKY9h3NMRt97VjpFYGcXPIMYoSAwqMI8eELBDFpPVmaXXEAHc2MywiDbgVbyapl17ZilcnLH5ie4spxGl5ocWmqdopOT2FOndmZxJtTlp0nZwz/gJt1ZNWXB1vzLrnSFrvqC6nAfK4sCyNQR5SBCGDH1oIAgu+b8MPbNTqLipuDm+9oo4FfaMYH29gYM6s8e7eme/51bNjt172iqvOCvZ0O6McvFXr65rghJZup5gW7Dm08Na/+9cDufu3TgMruchbFAUqkGMiQUMyA0Noay0SEl/CatMULWlBW5B4T2WhMjFDkusy40ZzEJtanuyYqVqrwWYUXEVSAIYGsDFQ1DQcmpebx8aKjI55kfzb5NzxVQsOGSylYk640CHgIureBHJwSrXSor6TcoGQyFKGjHJZvIwzjIxRbFhWx/XXnMA9WxY2Sm19f+bbnd88PFH9tdzwp9LOOsC7574dI6NHw7ZK/qHn6ofHj9a/BeBgrsMhKFg8zgJLY8CmHn8mfiQ9qDTrdbbsHNHjS74DWSnReNatjzGQPRmIWxjzFv9VahdDspOAlcAhBtijA4x9Y5kv6xQiiWPkimhYqvsBMU4UOfYlSCmV67lSVAChMtFK2VF3Jg39UH1XqAsAhwx+yOEHDGGO46pLljb6Brrf+qc3dd95zeUHw0/+5TvOEuridtYBDgBOfhoAHJ45s3jeonkDG8sO/Y/9e/YVLEozDhaTH+pRe9oZkgY3bQVu06q2tOAAWgKaRLqyjNKMkUxadYTsKTLgbrl/CuGTBROmt5vyHyHGMRlrnOLs+hhl/bUjSBg/ATKK0MgewAl0AWAT5LozcHW13Bicyv+XwUzhB1iguXm1fK7vmssvP/9bu1+2XVhd1549wBntBQF4wSEAEL77Y187clXxqW9sX7HE6iuGNz+z62BbGApYjEagjUrJqeqiUbCdAexkAs3W4IZ6qGkct2qZfUj2HK2OASEZekJOBdyqpakJTmqJIy4S7Z/pFdpSi9bfHVtwBWpNhUDAiQS53osLQKeG0J2IqrMQracrPh6Gukyhfi4ApSG4oMgVBkabmPGu//td+o03vnYHeua+MOAGzpCr/lTbYz++A6te82eYMa1j64zezkMDM3o3jY2PFwKvhpxNwJiUBAniGi36QemXDoYyXfStwJ1WULKzZUhmoKqnpMXueWPmjp6to2f4pGb6mO/RVDVzn8x7agBMstec9sa2zOcSLbeY3aOpVOZ8yalocSc2erUwPre8vjjPSsApvMCC50sVxQ8YPF/AcdvR07960M4PvI+y0lcGptcxZ9mfvZCQe2EsuNk++sFrAABHj4/catuWtejH0274zvd+0nN8cBSOLdPr1jyg4ctyFkLIiDmkLHiklhg3XrepPI7yRVpb9pNY/IQ7H8l9iXmS59kSxjhFRfR2k29Lq0r0yDHz1XpQqd37ml8Tg4tDnSPi+4hrMEX3SVMPiKg2vezsHITIyh9+wFBrMEAQEBKA2V3onnnZ8bkLL/orzoNbHbfjDKDn9NsLDnDdenva0ahVv/Q7V20klJB/+vZ3f9Tje+PI5yxYNeC5YY6qT1C0BVxCwNTjicJBDcCnW6vB5Kk1A6YG79AWy4S0ybej75uKRJ+kRZzaoCgkDd6EJ9P4rkQcSutrSHcefe1mwqCEAqNOGAV0cYAQClXjDZTIEoP5XIBGk+HAsTyGx21YJEDvtAoWLL3s+Iy5Gz/cDMSXioWpk9SfzXbOAA4AbqGIweHqLZs2XhjkXeufNz/+cEejOoJllSZylXHcs8WF8F04jEf0wDImE5sAj5wfQGawdbJGprDcUQcSJPVrQWIaAMAs7R1z88m7moGxhLJBRPKQREyJyc9T8l8a75Nx8OjcJHsx3KAlwvgkQ0okygmRCYUIFXCdALYzhp88WcCvtgEdJQvT+3swZ/GFw/MWrfoQY/6XCTt34AbOMcABoKujiDD0b7ts49qhZnVovsWCG1n9fnvT2kGMNCp49Mk8aF4G/0vnTzwRQANOj951/UgAiSc+mWEViMNNWysqxnsKFOmALrmOZE7Vajn6ciBK3ZhQQzSg1TmjyEIzBsX8p0iLc+sb0/LLU9WEjbGr6djR/ycXUk0RoEAoKaMQBPlciEe2C3zqGy66nBDvePN5fqmYu27G7DW7QpG/22LnHF7nHuAAwJjNd+3addfqC1/teBPbay4f//zjT46Q/UdztOQIOJaAwwQsVbXb0jNw1PEcQlUe0F662KIn+CtOQVGZZIcEvtMcP02VpqBNmSaSO8XOmKwcGDkmTUoCgxqlaUar6yBIgFvTr0T5E66qoUUgFwrUQt1TAUoZak0bM7qBZXMsvmDORWLu3IXv3rBuyX/s2X/Umzf/1NOrnc12Vl31p9Pmz5+PrsI+b3p/922zFs5ctuXg+r/taZuLTtdDwRbIWYBtyVlulkXgWIBtA5YFWIzI+ZrqXPonOl1jMd1O6krPWMhU3hOQDFePZ+eTzOBXt/S1mLJgSz1bxBbd3D9z3hbXLlpcQTwpQRhxOyI6R8gJgpDADwg8n8DzKTyfwg/kq+kx1BoWBodt9HYvxgfftuhv27vmLWvv7L3t4ScOvmjADbxILLhula7lAFB//w137nhyYtMNV63f6hw5Uvrr/fufY41mEwQEtkUiS05U8H0YCjQFAUIRaeiRvKi0XGrwWAOTJ22R8jIJbckoORl+0hrlKaodAZsTRPksTZqSCCs8nYGsIbXC8BlESlSK5oWqjJ/nU4QhUakfBCwmLTgXgPAAy3JRbFsUNkn3x9Zd3LjhvAXPhIW+i19QvJxKe0F18FNtj/zwa7jumivE+699y0+//c2vuDlW7z16YrQQ+IFtMwHHorBtCteRgJdSlYAXAF4g5UU9YEo80Ii3GwNGOsl6Emvl0Wdjqpqe0hbr4ykN3ODlSY0+pYOnNMxoMaFnZ7XsybJhpXMuZo7TocZMTiZm+j1yyxM0fYZak6HRZPD8uJgB5wKWRWA5FZR7NjRXXfD6T/bPWv/Rt1z9J2L6wj8617Bp2Z6/aPsCtOGRMTDG6A9+8ANSbu/73D33/mRFs1G/cHBwyGqvOCjkLRAA9QbHkaEAg2MCdT8ePFoqKxhT4beMqRTLqTmYMTCIAQIJWmZ8lstqFn1ixrw+NkldooCuBEhTnSi1Pan1mzPu1QCbIU5NR4VaFon9dGAaiY4TEagtBWqLcVUpTxXwJZLONT0bJ0ZcHDzuoNaQ1jvvCJTyHkrljqCQdx5eseZVPF+e9/BEjX+4v8eGmz+3SslU7UVFUdKto70CqBlUX/nad965ccPq8sjoxL/u3rP/TSQYpDnbRz7HwDlHIBp48iBQ9WyUc4DLBHJWHFqbpgSTUgqzmXECMMAaATKddFPukHE8TfY9KVe8jsuOpo0p2TCamYNkJqvkF5gXbOrZKqOsHqnqYFoFfNvisK0Ajh2i4HqoNwm27u3G7oMWwkAGTfX1FDB/fj/v7Zt1h+2U3jF84tD4rLmrzzU8Tqm9qC14uj21fTccJ9d94vjR9+7f8+SKcm7war+6Dc0gB4EGfrlvFN96uIzDJ8roygElR4LcsQQcC4YKQxLWO/mTblp3oqw+iaw5owSMqRwqzMx/QhLnAYxl9Scz+ExRkrQl19fIVDVFpmRSi0n+bGkLrihG5JTRA8foXNJqa8ttWxyOxWHbIXJOgHzOQylfx+HhGu58uIgnd3RDNAkmagEuWr0YS+Z13bnp4lVbp8/o/ZdGvXmivWvuuYbCKbcXtQVPt+VL5gHAiZGhAx9dtuR3Z/PGEzjwnH313T/eizldId712gB93Ufx4S/m0bBt5Lkw8mVDxXOQKKlOWkURysJFkwV0rKrKoW3SijjeJAa3yb0TbZJBpiE/R04eYVp/NdGXGJY8uk4Sv5L0Jmm9o9SXqpiriPJM6EQ/sqBvLlfHF++2cftPunHxfODC812Q8jIsWbjizlddsuh9J4ar+9zC9HMNgdNuLymA69beORNCHNqHypIPHR+nt11w4er3ksbOTTXvYczp2QmKEFSW9oolNWOgKZ1GRLmqRSQlAuqdChBdmUyY9CbO900MTm7y6kQTreU8ILmviDEZa/ck1rEjmqWSa6p/J9K0tRoi47fjc+rcggQAmOyU5vG6c8g5mQJP77cxr68Nr71iMa68dPEDI037X8rtS391YMjbt2L+rHP92J9Xe0kCHAAImQ4AO4UQOxfOx9ZntoX9/T0DX3h2ZMuCjtI+licBQk7SB8FiUFKj3CZrlgoZnms4hghFovyMXGkoEZTATNemQR53lDjL61Ru88RkY0Mg50RSInXZUUqHlF8oSlLEaJymTQipJIWB1LOh3PpUZaIyjwc4anULlLbjbW+4MCxV1u3syHt/vmjphsMAdpDJLvwl0l6yANdNPYAdgh/bEYbhq/pmuDO+fOMVd3z9uz+tPLjlYJHyCQgQhCFAbAHGKHI2Qc6RmVmqDY66J+AH8nefUp0XVIBTAqr5QEoJ0VycGXweiB1METVCDOJM2Ko6tXRIqfqWyr2uOwvTziVVh16WfYkHipp/M6betRX3KeohwURd/p9ujoNRQDgAJbI3ez7Q0e6gGiyqts++YuySSv2NTn7RQcbYvpc6sHV7yQNcN0KnQQixb835fc/VqhPL/VBcdNXl4otDR58Mtu/c1rn5l9UyF5J35hyK9rKFnEMwONrEsRGOpk/kZGdVti0CFdVgVR2AxNUcLEbUgC8GuJ6owbkGu0kJktq8DHwHIOT+YSjAlYXVnSj6rNKPZDpLNPgUsG0OWw0imx7BweMEx4cJHJugUgIcS9EUAhyr92H69GUj/QtmT3gBfQd1Fz+yrK8wGoTgtvWbAW7gNwjgQGTN+dO7Dg3Pmz393uMnxhfd+qVbmzd87HMfnHbP42/b9vQe36GNJW0luB1FDwsHGoB1HM98O4+jg2V0l0LkoN3YBFyV3DPTmRGilRQZOhB7VeU1hKFyNgEIuZAVghWiowEq1ZOkgRDKgnOOIOQIQ6F0fAKuUhMTQhBSWUMg+kEhSWXFtgQcxpFzQnS2NbH3aBX3PJ4HCcqYN91CsViBnaONUsXa3tE9IJbPudIhrPypovv1L+fYq4Xgg5yQM5tV6sXQfqMArtvS+dMBaRtre/bthmNbN1qWdeOm9ctZZ0f584x4i4i395L+9qfYgaE6qoGD42MhyjkBixKEivPGVhgR3ZDSofSgOhbg2DKRjZ6vGIREzSYX8IIQnMvOYjECypjqIDKGhhFVvbohO0bD4wgC+WVM/ULo+ZOMUgj1tGIPbJxCWTpsBCwWoOhOoFioAraNqu9iWv9AeN758x/s7szv4MH4tYROhJblgFg5MRT8MbqKuXP9yM5a+40EuNnmzp4HxGOzYGJ8/B2g+Q4EBz++Z+eY8+y2ajhn5ozV5XxlDRrHcGxwAq4NdJYtZSWpAlpMLRiVQV+OA7gOR84Wyoori88Jjg4GqNZlfm3bpiBgsCx5vGUBrg04tszDzSgwNBJidDyIBqQWI7Bt+b2U6k4TUxymvJlE/gbAonXYzEcg2mAXOtHVNfrzl6+t/2IsmMXefPXV3vxZPR+ZqDWHdXq935b2m0O2nmf77Fd/AgCbGPdfafPqG3cfqS0WzRr273kWnu+jVmvCoiFKBYpy0UGp4KCYZygVgFKeo5jncB3Jey0mUMyH2H/cx9d+aINxglIeKOYpii5DIW+h4FIU80CpwFHKc5QLAUAa+OoPKQ4fpSi50nljMwLXIWp/C4W8hWKeIO9wuI6PciFAqUDALBeEWlgwfxZKJYbRWvcz/dPYHfk8/ksIPFDqecO5vsXntP3GW/CTtXf/0csB4IHB4eEHCPCzoXF//sjgEP/Prx7hbe2dczu7uv7qwHPPoaPiYGjwGBr1cbg5mec8ZwNtxQDtZVlpgwtgencN4944dh7rRom66GuXzhTHlsVRKZF8uZDj6Ch76O2sIecO4nijgn2DbRjoCBByacXbizKCT/AABBZcm6HU2Ya+3h6UC0309k3H6MjwDYNDo3t6Z11KK20V2tYs7CLAvcW2jnN9a18U7bce4Lp1dXQAwL16ef+Bo3DdXPve/Yce3uIwtJUs//wVS97PGK4s5AgcK8Sxg79Ad+Uwxr0Ah49XsGQmh+OMwGaj8Bp57K1b4JzLxKI2h+8AQcghuIDDfHSUx9FZGUM9GEG1yeCRNjhuAQtneDgwwlGdsDGvqw2vuHQNinkHxTxFziH3+V79n0t5z+4fWIpFK6Y/EATNkXyx91zfwhdl+/8An6TNmtkLACMAvgsABw4eBkC2Q4S9FiMcwsPE8DNwXYIjEwRHRvJYNbfqbz70iuvn9B993Tv+0PIferqEzhzH/B6GzjaGvMtQdCkKLtDT7mPWjCEU3Qa2baO4/MI2e92y4vf+6TM7r5/dT+0qOKo1C+VyGSvPWw7XdWBblNo2PQqBPR1dfef6Fr0k2m89Bz+T7VO3PgDOSe+rVu5se/ZIIO59vIgS45jXY6GjTOE4FPkchesAnRUfs/uH4Ng+7n4kjxMTJXLtHxZHEeIocX+7efOZbP8PDvLM3bAI5VsAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMjA6NTk6NTcrMDA6MDCii1ZWAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDIwOjU5OjU3KzAwOjAw09bu6gAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 257340000
    {'hecke_orbit_code': 108086391090451016, 'n': 1, 'trace_an': 2}
  • id: 257340001
    {'hecke_orbit_code': 108086391090451016, 'n': 2, 'trace_an': 0}
  • id: 257340002
    {'hecke_orbit_code': 108086391090451016, 'n': 3, 'trace_an': 0}
  • id: 257340003
    {'hecke_orbit_code': 108086391090451016, 'n': 4, 'trace_an': 0}
  • id: 257340004
    {'hecke_orbit_code': 108086391090451016, 'n': 5, 'trace_an': -2}
  • id: 257340005
    {'hecke_orbit_code': 108086391090451016, 'n': 6, 'trace_an': 0}
  • id: 257340006
    {'hecke_orbit_code': 108086391090451016, 'n': 7, 'trace_an': -1}
  • id: 257340007
    {'hecke_orbit_code': 108086391090451016, 'n': 8, 'trace_an': 0}
  • id: 257340008
    {'hecke_orbit_code': 108086391090451016, 'n': 9, 'trace_an': 0}
  • id: 257340009
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  • id: 257340990
    {'hecke_orbit_code': 108086391090451016, 'n': 991, 'trace_an': -31}
  • id: 257340991
    {'hecke_orbit_code': 108086391090451016, 'n': 992, 'trace_an': 0}
  • id: 257340992
    {'hecke_orbit_code': 108086391090451016, 'n': 993, 'trace_an': 0}
  • id: 257340993
    {'hecke_orbit_code': 108086391090451016, 'n': 994, 'trace_an': 0}
  • id: 257340994
    {'hecke_orbit_code': 108086391090451016, 'n': 995, 'trace_an': -20}
  • id: 257340995
    {'hecke_orbit_code': 108086391090451016, 'n': 996, 'trace_an': 0}
  • id: 257340996
    {'hecke_orbit_code': 108086391090451016, 'n': 997, 'trace_an': 30}
  • id: 257340997
    {'hecke_orbit_code': 108086391090451016, 'n': 998, 'trace_an': 0}
  • id: 257340998
    {'hecke_orbit_code': 108086391090451016, 'n': 999, 'trace_an': 0}
  • id: 257340999
    {'hecke_orbit_code': 108086391090451016, 'n': 1000, 'trace_an': 0}