Embedded newform data - 15.8.a.c.1.2

Formats: - HTML - YAML - JSON - 2025-12-10T14:14:57.724110

• 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
  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_largest	boolean
  is_maximal	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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': 960, 'analytic_conductor': 4.685775382261826, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[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': [15, 1, [11, 7], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 601, 'field_disc_factorization': [[601, 1]], 'field_poly': [-150, -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': [[2, [-138, -7, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199388958735, 'hecke_ring_generator_nbound': 2, '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_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '15.8.a.c', 'level': 15, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '15.8.a.c', 'nf_label': '2.2.601.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(4-\\beta )q^{2}+3^{3}q^{3}+(38-7\\beta )q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '15.8.a', 'trace_display': [7, 54, 250, 1304], 'trace_hash': 2291109400262265561, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.024', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.918', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.179', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '62.009', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 7, 54, 69, 250, 189, 1304, 1449, 1458, 875, 3448, 1863, -8988, -12264, 6750, -24495, -5492, 5103, -49584, 8625, 35208, -127364, 91848, 39123, 31250, 216154, 39366, -72808, 181772, 23625, 304232, -395311, 93096, -439922, 163000, 50301, -502316, -791372, -242676, 181125, 631172, -331128, 353640, -857068, 182250, 1886472, -467480, -661365, 145490, 109375, -148284, 1423198, -568052, 137781, 431000, 2105880, -1338768, 3126746, 287224, 232875, -2514180, 413328, 950616, 291041, -1123500, -3438828, -5073832, -3134374, 2479896, -1533000, -3748816, 1056321, -1477212, 2576306, 843750, -6035444, 10056288, 5836158, -4627720, -3061875, 1062882, 8637398, -6072936, -1965816, -686500, 3382108, 4907844, 12118884, 16516356, 637875, -19726448, 14123784, 8214264, -3412736, -6198000, -10673397, 2723428, -21434497, 2513592, 1078125, 21341628, -11877894, -10849160, 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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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[1.7192772405081367, 0.0], [-0.046442368193773835, 0.0], [-0.0074905152809645196, 0.0]], 'angles': [-0.12739279670872752, None, None, -0.2530191894070259, -0.3240976148749544, -0.1924325996847229, -0.33174971484982124, -0.4075791229897733, -0.05516322917255761, -0.11911786368524924, -0.18823120702554963, -0.2692506706659339, -0.13640924091396012, -0.2092154305765912, -0.2845040770990445, -0.28299809390640734, -0.14205896806089702, -0.30854125931579746, -0.4083372263792744, -0.3271865646993494, -0.14664189532710048, -0.27420591112541554, -0.2793487805363171, -0.1471921675399848, -0.28473443121262587, -0.16288206117802995, -0.41814168152950304, -0.2939155949923442, -0.07680028059659952, -0.3004711912316023, -0.29163795912965573, -0.25495113278105214, -0.17058963291157667, -0.25539800946786795, -0.24020272657772015, -0.290010790597965, -0.29343491131176064, -0.43620402701453126, -0.16472100195431372, -0.2822838481897403, -0.20748202387484774, -0.1464746280473204, -0.38241235100676885, 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-0.1673343276192002, -0.23824717737244203, -0.39125446764785415, -0.2188218559704705, -0.21624423548502786, -0.19312505055100623, -0.1295133993008588, -0.06562244188845635, -0.18168948167355045, -0.2746667721506298, -0.2847955857797427, -0.2728731829115364, -0.4348710149026823, -0.19805126704094922, -0.3114261208555667, -0.25934018884659965, -0.245755725386155, -0.3121846796648726, -0.3082584829854034, -0.3672120491884865, -0.36995358108066584, -0.29375085803155576, -0.3709212853407938, -0.23751618658750276, -0.30448413327749607, -0.15410318476166254, -0.25805525215635206, -0.1551762945013278, -0.1910862832261347, -0.13848478121928437, -0.26779220344689864, -0.20270172642510462, -0.25250710655564873], 'char_orbit_index': 1, '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': -11.757650672131263, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199388958735, 'label': '15.8.a.c.1.2', 'level': 15, 'weight': 8}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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

  
  {'ALdims': [1, 0, 1, 2], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1], 'ALdims_old': [3, 2, 2, 1], 'Nk2': 960, 'analytic_conductor': 4.685775382261826, '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': [15, 1, [11, 7], [1, 1]], 'conrey_index': 1, 'cusp_dim': 12, 'dim': 4, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 134217743, 'hecke_orbit_dims': [1, 1, 2], 'label': '15.8.a', 'level': 15, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 16, 'mf_new_dim': 4, 'num_forms': 3, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 4, 'sturm_bound': 16, 'trace_bound': 2, 'trace_display': [-28, 54, 0, 2264], 'traces': [4, -28, 54, 466, 0, -54, 2264, -2436, 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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: 40514023
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958735, 'source_is_minimal': True, 'source_label': '15.8.a.c.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199388958735, 'target_is_minimal': True, 'target_label': '15.8.a.c.1.2', 'target_level': 15, 'twist_class_label': '15.8.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 40514024
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958735, 'source_is_minimal': True, 'source_label': '15.8.a.c.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797153181741, 'target_is_minimal': False, 'target_label': '45.8.a.i.1.1', 'target_level': 45, 'twist_class_label': '15.8.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 40514025
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958735, 'source_is_minimal': True, 'source_label': '15.8.a.c.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994544775408, 'target_is_minimal': False, 'target_label': '240.8.a.p.1.2', 'target_level': 240, 'twist_class_label': '15.8.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 40514026
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958735, 'source_is_minimal': True, 'source_label': '15.8.a.c.1.2', 'source_level': 15, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13510867735806027, 'target_is_minimal': False, 'target_label': '75.8.b.d.49.4', 'target_level': 75, 'twist_class_label': '15.8.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 40514027
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958735, 'source_is_minimal': True, 'source_label': '15.8.a.c.1.2', 'source_level': 15, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867735806027, 'target_is_minimal': False, 'target_label': '75.8.b.d.49.1', 'target_level': 75, 'twist_class_label': '15.8.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 40514028
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958735, 'source_is_minimal': True, 'source_label': '15.8.a.c.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398643699787, 'target_is_minimal': False, 'target_label': '75.8.a.e.1.1', 'target_level': 75, 'twist_class_label': '15.8.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 8}
  • id: 40514029
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958735, 'source_is_minimal': True, 'source_label': '15.8.a.c.1.2', 'source_level': 15, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546864009511137, 'target_is_minimal': False, 'target_label': '225.8.b.n.199.1', 'target_level': 225, 'twist_class_label': '15.8.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 40514030
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958735, 'source_is_minimal': True, 'source_label': '15.8.a.c.1.2', 'source_level': 15, 'target_conrey_index': 199, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 58546864009511137, 'target_is_minimal': False, 'target_label': '225.8.b.n.199.4', 'target_level': 225, 'twist_class_label': '15.8.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 8}
  • id: 40514031
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199388958735, 'source_is_minimal': True, 'source_label': '15.8.a.c.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 85568393054257377, 'target_is_minimal': False, 'target_label': '225.8.a.t.1.2', 'target_level': 225, 'twist_class_label': '15.8.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 61175
    {'charpoly_factorization': [[[-138, -7, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 2}
  • id: 61176
    {'charpoly_factorization': [[[-27, 1], 2]], 'hecke_orbit_code': 9007199388958735, 'p': 3}
  • id: 61177
    {'charpoly_factorization': [[[-125, 1], 2]], 'hecke_orbit_code': 9007199388958735, 'p': 5}
  • id: 61178
    {'charpoly_factorization': [[[-46080, -1304, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 7}
  • id: 61179
    {'charpoly_factorization': [[[-29376048, -3448, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 11}
  • id: 61180
    {'charpoly_factorization': [[[-81820108, 8988, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 13}
  • id: 61181
    {'charpoly_factorization': [[[-286949484, 5492, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 17}
  • id: 61182
    {'charpoly_factorization': [[[-20483920, 49584, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 19}
  • id: 61183
    {'charpoly_factorization': [[[-1966256640, -91848, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 23}
  • id: 61184
    {'charpoly_factorization': [[[-2060549340, -181772, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 29}
  • id: 61185
    {'charpoly_factorization': [[[22433068800, -304232, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 31}
  • id: 61186
    {'charpoly_factorization': [[[31820561620, 502316, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 37}
  • id: 61187
    {'charpoly_factorization': [[[30837469380, -631172, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 41}
  • id: 61188
    {'charpoly_factorization': [[[23614207376, -353640, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 43}
  • id: 61189
    {'charpoly_factorization': [[[49382888064, 467480, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 47}
  • id: 61190
    {'charpoly_factorization': [[[54364123620, 568052, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 53}
  • id: 61191
    {'charpoly_factorization': [[[-3349911332400, -287224, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 59}
  • id: 61192
    {'charpoly_factorization': [[[1579956747716, 2514180, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 61}
  • id: 61193
    {'charpoly_factorization': [[[3899842029456, 5073832, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 67}
  • id: 61194
    {'charpoly_factorization': [[[2634564492864, 3748816, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 71}
  • id: 61195
    {'charpoly_factorization': [[[-22097955229180, 1477212, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 73}
  • id: 61196
    {'charpoly_factorization': [[[4381741411200, 4627720, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 79}
  • id: 61197
    {'charpoly_factorization': [[[7951958141328, 6072936, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 83}
  • id: 61198
    {'charpoly_factorization': [[[68134385955780, -16516356, 1], 1]], 'hecke_orbit_code': 9007199388958735, 'p': 89}
  • id: 61199
    {'charpoly_factorization': [[[-25751505484604, -2723428, 1], 1]], 'hecke_orbit_code': 9007199388958735, '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': 3, 'label': '15.8.a.c', 'level': 15, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHECwPHq4v0wAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13nCTZdd2Jf58Jk658tXfTblyP9xiHAeEII3iQIkCQokjKkdrV/rgkpdWKFFcSzU8Sd2W4Ei0IggBhCUMM3AAYzAzG257umWnvu7rLV/pw7+0fLyIzqnpAmaUWBKX8IJBZpqcyI06cd+69594n+B+Pv7DHp7/4MFKK9S8ePj1qM2s3TXr4nuSZE23uuXZC3H5VfeGhZzM2TS5O3nTlOfvC4c2EvmT9ZJd6LRNG7lkBe3Fy090AG4FloCeE+F5/tO/bh/5ev4Hvl8fRkxcALjMmW28RptuL+cxn/5Q9m86zY+MiofI5fvazyZK98Zd7naW3aWGTcxd81k8Ikm6f9krqnzs3/3tnzglE1v+bZ0Y68czFeTZOwul+zEg98/rpyT/7N3/4yi+/dPZz4v/8pz/56xfPnfhUmL7wTGflkLIEIIRU0rsInKjUN32vT8n3xeN/UMN3eRw8MocV4ZhnTtzTW3kBLWVybnHsH7T78g1SWOIk5dlnn6deWWb3pibLbcWZ2QqYiDRJGW9YDp3xufqyjJk5yfhISqMWcGxGk5mEqbrg/ELCvp2GI2ckEyMG3/cJQ82JOclyB/auS9mzbZzLr7wWi4dW0I31118+0f9NYzPvvruvZvf2zQ9BtCzE+u/1KftL+fgfAM8fKyvzYHlTtRbtOn6ibf7xv/6k+Ym3NS5r9tf9Yq99nHroc+LMBVqtBeJEs9SVZNYn9CyNwDLbSjky02fTRMhoRaFEwtSIz56tim4fhIw4N6fpx3B+QaDw6UUJu7Za1o93kEhq1ZgN020OnZpgcblCLcwIdEK3b2h2FHGaMjY+RbW+Ca0j9u3dwXOvLPzavfvOn1h/2Y/LvhmXG6bUMeCrY6OT3+tT+pfi8d89wGfPfA2tuOf0ed745MHme6/eOXd51PH4j58+wp3XLjM/53FqrsuWKUU1gKlRw7mlACUtUhg2jmWcng2pVS3PHIvoRoLQh4UVuGxKU60ErJ9KuWdfi5dOjPDMK4KXT6fccXXGpklDrSbYun6Z+WVFGEAvsjx3aJJ6RXJ81mfDeB8pwFcZFxYVI7UUScam6YT5xTpda3jDjVWOzV9FWLPce33j0LEL6z4931Zfk4KHPvSee77Xp/h7+vjvDuDNZgupKuMmOfcvHnvsU/5nvzWX/Y236BsXF+s3/d7nFtm47hSvv77KA0+N0ctWeMNNmkdeCNm5pUen5zGzpIgSQaBTrtySsW48YrEteeH4CEkq2LOpz2xbcc3OHkdOerT6mjiCW67scPhslUYl5pVzmtv2SuIkotXXvHBKcv32jGbbY9fmmDiRvHhCsNAO2TAGl29t42tJnMCFJY92lLJ7o8e3n7f8wM0d+r1RvvR4l/tuWebG3Vt48MXNzHd7z7zrrqVn5zu71H33/LV4x5b1/6jb7S+NjI58ry/B/6ePv/IAP3n6JEppcfDAdxhvaLVxuv5b2ObeAy+dv+tLD55TB8+1+NE3LrOxUedrTzR47kSPn3nvEq3mer76lGHr5i7r6xVml1I2TsP+Y4rEgkCxeTzjxr1tltqCTj/k5ROaq3e28HyfdlciheDyLYb9Rw3zrQrdpM11O2M6vRGWWoIXjkj2bksxQrDSNVQCy7XbJQdPaHpxwnJLceMey/qJBCVS0szjueM+W6YtcwuKyfEW29fV+PqTHs14mb/3TsmzL43xZ4/12batzU/+oOTC4gZOzG7OKhPbH5keCQ97ovV3fR1nr73nLtI0tes3XPa9vkT/TR9/JbMoh4+dx+DLmjcbnnv2A9HEvj/8uSjOfvSTXzqU/LW7Tl2xbkSHS3M+ZB7dpuTZw/ChN3TZt6vBzGLIA88EvPuuFa7bOcE3n/fZtaXL+tE6p2ZSbrk85tBZn9FaAkgOnqqycdywuKx59KWMR4/CNdssV26RLLUFj7wsue/qhNGaYrld5+wFzUrLoryYD715mdMXG6y0BTfs7XPNrnk8xri4MMXZebhyu6EXS05eDBiral45J9m7Bdptyd5tC+zYGPLNp31OLfZ4zz2G2YUxXj4J7STlhj0RWoxyfibhmRcPq+NLp++9bGN829/4wdFbMvZ6Sdz/o+13/sN/eezEoWDn1vF+FKcmrP7Vy8z8lWLwzBokQvb73dGnnztx+/R463dM76X041+8MPGNZ2Ybc8uGjRsW+aUf6YHZyHOHajx3OOHoxR5vvKPJnVfU2H9klIf2x4xOdHjXayQHDtV55GCPK3ambB6vgO0htMCTmmMXNNONjGZkqYcRp+cyXjqbUVdjvOHmDssrdZ582XL1DsHurRlZKjgz75Flht2bBVddlvDkS4KlTpfX3ySp1GY4fKrOqQtjVANBu+sxOZJy/IKPryOUVFij2bJ+iau2KR5+foxnTiS8454m62qjPPxcyPMnu9x23TJvvdnn6Okpnj9keP5YQk91+CcfnGPH9BjL7ZCTczta89Fli/e9Zo/eMBH8VNi47PHRkfoKGCOE+l5fyr+wx18ZBj9zvsn58yvbu81XNq/0qp8+deSRkcPdg7V9ly0yWdnMzknQxnLo5CgPv9TjXXessGW9z0pb0+4FfPqbNSbqLa7ZrelHNb5z0PK5R7u8564mYVjnuaMeGyc6TDR8zs5qWr2MbrdHbZ1HYjTjNcXGMcndV/d4/miKloLATwmqKc+cUNTqHpsnY6IUNk3A9XvnaXY1UTpGYjQHTkn2H9lGoEICP0OPRvQiGGn02AG0Oj5n5zImRrtMjdT52pM+B87EvPPeDptHGzy6P+TFk32u3LnMX39txpFTYxw/Jzg3n3KxZXj7vU327Qg5frbBqZkKT7+00Hj05RONU8ef48rdOz715jckzSPHee/Ve3adS/rNU174V0Orf9/fqpmx/PIv//Lei2cf2meSxU+cOP7i/+/X/+P9I7ddecjft8MQJ1U6vYA01VhjMBk8+orHjo1Nrt8JvagCKHo9xVI3RcgOV+1QjFRCTs94HJ2JWDfeZ/cmjzMXKix2UrS2jNQMOzdIFlY0SyuKZsfSj2O6fc14I+H0rCZJ+9x9jcRkATfsWWHd9BLfeCGj17eE2ufbz1XZur7LRF1yZl4xXveYGM/YNJHSqAqsVRw+UyUzMZ7OmB4XjFYCXjgm8IIW91yXMOKN8uj+kJdO97hq9xI374E0XseBoz7HzyXsP2W4+ZpFfuavRcwtTHNyps7JGcX5uYSljuLAiZQL8yf97SNPN14+Vf3xbt++7YGHn3zoLW9/98X7v/DZ7/Xl/X/9+L5l8NPnWgihd588uv/acxe7/9NzL5+6Z9J/nMdeMJy9WOWLj2b83A8tUZeTjNYzpicUvdgjShK6MxW+9GSN269e5Pq9ChjDWo8Xjo3x4cMd3nNfi9uvSJgcrfHMK2N8/ck+Gyb7XL5NMD2iOT7j0e0ndLrQ7Ai0tmyazEBJpIzpdSUXlkMwFaZHYnZt6vLoiwERKe+6MyGLqxw7J5ka02yaEBiTMr+safUjeolPu+OzZTJiotFHKYnWgiTRHD8HU2NdbrsmZeOY5sjpEb5zCGaW2tx0TZsfvjfj7Mx6nj8ccPh0yvMnMhLZ5q239In6E5ydrTEzr5hbTGh1Mlo9SaL6vOu+JTaMj7L/yLfUZw4+vvcNt234aLMd/NKzL7zk33DNjmeyODmqw9Hv9SX/r3p8XzK4tS8z2jDb0+6z/7q79PwvPfTIE9s/+ZVTHD8fceBEwHLb4+AZzZb1K9x+ZUqcBCSZhzEKawVaGE5f9Dm1YNi+ocX6MagGIaGnUWheOK64uNKn0Yi5aodh7+aAdifk3LzA1wmJVcwse8zMG1qxQGvNutGU2WXDqQs+Y3WJQDM9nrDUtuzb3kfKKhcWq+zZFHDkdMDZBcuV2yNmlyRJ6tGLFXu3JAhhaXcl60ZTpsYjpsdjPAnNriIIYM9mwfJynW8+W+HoTJ/x8SavvbHHbXsDjp+Z5oXDPi+dSDkxH1MfbfITb+pw9bYRTs6MceaCx8x8xuxiwplFwfFFwzvumuWn3hKjVcjm6ZTRWkRV9tY/f9T/oRdPR+9dasXbrD/2+I/+zb+38nv/4f/8Xl/6/+LH9xWDHzpyCk9Xp17Yf/J/Onrk6/tsNvPOTY39bJvewV1XVTlyxmOiYvCE4Wwz5A++PsXGiQVu3bNEnEqyrIqxykXWFp59cZz9x3zec1eLt94SMT4ywVgjYOqc4pUzHifO99kyHXHHvh6vv11y5mKNs7MVWm1DoBIqYzBWz5gaiZhraro9j02TMVmm2bWxRxgkPPlKwJFzFabG+uxcX+HMjKTZS9i9yVIPDQdPBvi+YqIO5xYVkzUwIwlHLypWuiHjjQQpYayWYFuaxw54nJmP2La+z5tuTNk8pSEbY/+hKsfPWV4+nXB6MeJNr1nm3XdFVNQYpy+McWpGMzOXcXEx4dwinFy23HPDPD/2+h5Rf5T55SqtToCwPs8fVjxzcIWTi1+nJk++c2n+RV5z080Hovbs/9Xp9uYn1m3/XkPhP/vxfZNFuXD8U1QrqjFzMfrtbz1+4f0vHL4g494sb7qjzURtHfuP1jl7MWNuOWapabjYFJxYgPXrlvmlDyxx8546py9McOZihZl5zcx8xvn5hEPnDDrs8abbW7z+ekNFj3Burs6pGY/j5+DcYoane4zUM+Zaim43JUtTBIIgrLBl2mP3hpjRkYQLi4JmR7NrYwIWYgOnZ0PaPUujIqj6AklKEGQ0qhmtrs/pOYiMj7GWyzfGtLsZMwuasbrHZRtTtq7rUKtGCGmJY0GzW2G+6TNWFXjSY2bO59h5wamLKWcWU4JKl9fd1OEtt0AgRzl8usGZWcWFgrnnLUcXLDdeNc8vfWCZTWMjnJkdY26pwvyyz+yi5NxswoGTCWMTK9x3ncDzJhB6s+mLyz6ZiNpPS5LWz/2tt3+vIfGf9fhLDfBup43WSn7+S18St103/u//3e8/tk/7s7fdc2VTn50bY6zeYcv6Pp3eCKdmqszMS+aXMhabCYutjNkVwYlFmJ5c4Z9+aJGbdlc5OzvOzFyNmQXN7KLl4kLKufmMuXbK6Hif1+zrcOvl4MsKgQqYXQq5sKC5uCToRpCmhtA31MKMsZEUA5y+mNLqwLZ1HrVKhLUChE+nZ9i6PmJxRYN1UmSlA1EKFstSM2bTtEe7pxDKIkxEI/TYuqHPSldwekaTGc1EQ1IPBYEHaSroRpKLS5ILi5bZ5ZQg6IOXctuVHe64SjDVqLC43ODsbMDMAswupMwupZxfguOLlhuvXOCf/ugSG0ZHODs7zuxihfkVj4Vld/4uLsacnstoJ5YtU4KRQHD8QsKPvl2l68Y2PTa5/QfN5bt3P9aL0n84OVphZKT6vYbKd338pdXgH/uTP+XGG6/j53/+f/nnLxw8/O+78/ffc/xUsvOZw2155w2L3HZln4kRi5KKKFGkmcIYBUgQAolFSUMg4fxihSePSvbtXOLyLX2qIXha4nsK39fUKpKqJ+l2PA6fCvnGcz6n5yJaacLhsxHrJpZ462uW2berzY2XNzm1kLLQFVSDPidmLM1Wjasvk6z0M145pahXNS+dht0bLf04o5/5aJ0wVodDZwOUzvBkivagF0luvrxLryvZtyuj1cs4PVNnx3pFrRqzElmmR7ssd1p88kF44WTGiyf7bNu4yDV7W4yNx7z5tjbvvtuyc32dLBnl5PkRjp/zOHvRcG4u4dxcxvE5wZmVhGv3zPMrH2qzfmSMMxcLcPssrCiWVgxLrZSVdkarB8sdxfklxUszsG6qyZtujOShE3L7lx55ZceO6fiWTZt2ViYmRr75xCNf5Hd//+Pfa8i86uMvJYOffvkTbL2irn77D5r/pOYf/d+W5ufV/IJhZl7xxOGMYGSZf/E3LnDj7oDFlQZLrSqLKxUWmz4LKx5LLVhqZqy0UpbaKQtNOLss0JU+t1+1xPvvjtkxXWOl03BL85LPQlOw1DQsNg3LbUOrZ2hFlm4/ZaKRsHWdAQSBZzk35yFkwLZpxY6Nlo3TXWaXI/YfrXPDbku1sszBY+PUazFx7DExZuj14YqtfT724Ch7t6REkWVyRJJkPephwEun+lS8GtftSXnxRMzsos+miYAdG2Dr+hilEs4tgO9ZhLBsW5cyVpe0ewGdrker67HUUiytwGLTsNTMWGhmXGzCYj9j66YO779ngdsv14RegwsLDRaWQ5fmbLnPvtJKWGplLLUM8x3JxY5kqZNxy945fuXH29T8DTxxYJwzcxlRYti1e2N205U7/vkP/qPLfuWffHAm+7m/+87vNXQuefylAviRI0epViuVlw6d3dpdefZ9Dz5z8Z998eEj/OMfzciSUT729YCLS5aji5art8/yr356nut2VZhfHmVhpcZyK2Sp6bHU8lhuwnLbsNJOWWmnLLUss03BTMeC6PDOO5u8+WbDZRtC4rjKcjNkpePTbCuWO4J2V9CPLHFqyTJQ0hJ4UAksow3L9HiC9vocvxBz4FiASWu88ZYY7a3w7CsjbN8AX3kq5c6rA+aaPUKtSLOE8TFIEw/tpSwuVnnN9S2+8nidHRvgmaMRHlXecLMhFT0OHM84eS5ES591Y5qxmqASCHxfoASkBuLE0o+h3bWsdAztrmGla1jsWHpZxrbNXd58a5N33hGDqbO4MsLcUoXFpsdSS7PchJV2xko7YaVtWO4YljqCmbZioZVy895Zfv1vLbBnU4NzsxPMLPh87OuShDY//8MXOTV3A3Odnf/43tuu/1S1selMEvd7u/bs+V5DafD4SwPwJ58/hPUm/SA9/uPnTh37rU/c/6x46vCCPLcoeMOtPZptyUsnxqhpwXIsmW0n3LL7Ir/xk0tcvztkYWWUxRzky22f5ZZmpS1YaVtanYyVdkqzY1juWObaggtNw9holx+4sc1tl6dsW6doVDxa7ZDAk4AiTiXGCIyFbh8QhrF6n6PnLcbGPPBMjahbYdcmn9v3dUnMCg8/N8p1uz2OXuzQXG5w674u33w2YN245ZXTlr/3jhavnApYNy75xnOK269QLHVbnDg7znV7Yh4+0CONqtx2pc/OLX16aYevP6sgExw/p2lUNVpAtycxVpAZS5IC0qB9Q7NjqdUTtmyIuOOKLj9wQ8pELWR2aYTFlQrLLZ/ltma5JWh2YKWd0uqkNDsZKx3LYldysS1YaKfcdvkc//wn57n2soCFlVG6/QDfi3nlTJeVruANNyWcmw05dHqHsZVb7RWX7/i7N96w/cMri4vx2OTV32tIAX9JAL6wYmWn23vrn3z2S7u2Tq78Ri171Hts/xivnM5YaBkWO5BkECiLQNBPYTGSzLUSbr9inl/7yXmu3+Wz0hphYaXOSjtkpe2z0tE024pmF9odS6ub0upkdHqGZtcy3xHMdyDJIq7Z3WP9eEana3nTrRHb1xvSTKKlJU7gof0hZ+ZCNoylHDwegqly+WbF9XsNQdjl2aNd5hdqXLW9RmN0mcdf9Lhpd8hid4Xl5Qbr11ueekXxI6/t8PQrms3THgudJstL41x/RZfHD2aMV0a5aleHuWaTp14epaJr3LjXsmdrH2SH/ScF0+MJs/MJD+/36CcKKV01d/uGmB+4NabdUWwcM1y/G+K4ylKzylIzYKXj0eoqmh1JqwOtbuaKPd0sZ31Y7ArOtwTNXsQde+b5P35qiZv2BMwtNej0QuJEIwRoZUgzxXLbZ24p5OBRePhgj7//Y7cke7fIn9973buPaa/2JSG0+V5j63ueBz97oUO32/zRxZknf3PCe3F85eIJrrm+w1JrHITP7GLCSjujFxviBOLM0o8FnjJ40uOpo+v4xd/TvOOOJX74tUts3xhzcbFB6FeoBD7V0KPW0bQrknrPY6Sm6fYzOr2MdZGhF1na/YCl+ZBzZy1xajh/MSUILCDwlUVLQbenEHikXc212wU7N1q2buoSZW2++rTi0LExXn9DwPVXLPORr1p8UWX7pi4vPq7YNKqYbHQJVYU48ZhrQy3UbF4neOFQzPV7Ktx93QJ/eH8P36vzulssXtDlW0/FfOXJGi+frHDZxirbN2RMjcXsmEy4enuGUgatLGCpBgFTowFx4tHu+hw86tHpa7o9Racv6fSg07d0uu6zt3sZnZ6l1TOs9ATzHcXsiqHaaPKzb57jHbfFXHNZlQsLDdrdkF7fox9r4lQRJ5JuX7Hc0szMw9FzMWcXE/7sm096m9dv+M07V55cuu+eW/6Bte0/FKL+3y/A250eQoi/+dDDT/zqiy98YbyfzvO66xdpVGtMjSZsnKoghE/op3R6Gb3I0I8tPc/ia3cEWvHisSmeP1rl6Mwc77ijwx1X9hmr11ls1qi1QhpVn05X084vdq+v6UaafmTpx4Y4sSSJJc3cEac+1oBUAk8LQl8wWheM1WH9pGHzui6TY02+9iw88ryHNCO8/gaPay9v8+jLCXG/we3XCpq9HnOLNW7bY5gc7VLRAf1UMd9KUEZw7R5NtR7x3OGQu64f4dZr2jx3WIEd4YYrfX7iLUt884WYbzxd45UzIVunFOvHK4zVq4zUoRKApy1KgrHwyklBlgmSVBCnECW4zxjl5y4ydPuGbmTo9KAVwUJHMduGyPS477pF3npHix95nSHN6swu1mh1Qrp9j15f04s0vUjSjRStrmC5CbOLMYvNjGbf59kTLTz/GE8+2RyfGhX//33X3qH7Uef3wqD23x/ArVkEkf7Elx74zq+uzDwwffpcxmOHR5ht9vm591oatZjxEZ8kVUip8TyB388IIoMfG3yNA7nKqGrJQrfKJx7czLeeb3Pn1St84L4mV+/oMjFaZXGlSrsX0O15ObCVO2JBlEiSVJCmbqm31r0/JS1aQ+hDtWIYrydsmu6S0uHo+YRPPhxy4myN0aDCTVdqbtvX4qkjTR54osEtu0O2bujysQcFSgQ06gkrnQhjQQmYanRptX1MWuGtd87xia9U2Tkb8uZbusTJIg8fmCDJQm6+cpo339Ri95Ym33quy4tnq+w/6bN5XDLeEFQDge+5m1AKEMJiLBhjSdL8Zk0sUeJu5H4MvRjafcFyJFhqg9B9rtu7wgd+YIU7r8qYqIcst6o021U6fZ9O36PbU3QjTa8v6fYlnb6g1XEB/HI7pdUDg+WH72vymitHePT5hN/9469O/036v7phy2vt6XPLv79t89h/HwD/1Cf/mO+cqPAr//6bH5qu9n/j4WcOTu7ZNMf2DRMcOGHYf3wUWCAMMurVlH4ssCikFGgl8XSGpzN8NQR54GVUPMFyX7O4Msanvl3jyYMdbr9mhQ+8boXrdjaZyCqkaUC3H9LpefQiTZwoklSSZpLMCIwVCCxSWALfUA1TAj/G9yLOL0bc/4zk2Dmfk+fGUCZg5wafK3Yobri8hQrmOXC8zqbRKlddBuunlllqNbh6kyQ1lq89HRB1JaO1lDfc3OdLDyecuVhn7y6PCyt9XjrhsWXdGNfsmOfRF9s8/pIgin0u3zHO5VsCLt/c5viFJY6dh6cPVTl6okZVCwItqQWW0AMpXVBlrbtZ0wziFOJM0IkErb6glUBsUoztc+PuFh/4gRZ3Xp2xYdynHzVYbFZod3My6Gt3RIpe3xWYehF0eoZ2N6PVSen0Dd1EIkTKNTs0ve4o52d9Kv55Lpz6+nTUmf2NPTtEalu/85E//WqNd7/3R/7qAvz//v2Pc+2GU1i2/PXFhfP/5tzJi6Oin3Hm7Di7N2n2XZbgVVOM0ShpqAQZ9YrCGAFItFJ4WuBrga8NvueOILaEnqXqZ4yGgnbksdwa47OPNHhwf591Y13ed0+Ty7f06fc6XLXDsmW9Iko8skyRGYktwC0Nns44PWs5eVGw0jN88dEq5xfGsLHHWKjYOKHZtl5z2Sa4amcLIxf4nS/VWFoa4ZbLNVftbPKt/QKRekyPSWrVlG7iI60EK1Hap9kXzC4JrrRV7rmhzWPPVdg46XPLVeP8jbcs8OGvtHn6cI1O32Nxpc6OjRX2buhy854277qrzczSEl98NGCxG3D6gsf58z6eEkgpEQiMtWQGEmPJUsPYRMK+K7tEUcLlWyLec0/E9IhivB6QJCEX5kO6PZ9u5G7+bl/RiyS9SNGLRH5Ar58NYphO36UoMwNC+DxztEoND09Ldm2aYuaC5bFnn59ct27Dv9mxfXvy4c8sfvyJhz/KbXd/8K8ewA+/8BH2XDsm/vCjyXtPnj31u5tGj1XvuLrKlumQfiQJA8vl22DnVkkcV7EWAi+jGmYY45hJSYnO7aNaGzwvw/cEgWcIPUslsVRjy0iYMVYRdGNJO65x8lyNX//4OJgUkabcsK/LjvUxaQrGGqx1RRwpBFIJtOdz+IzPK8dCaqGm7ksmq4KpCcn0uGbjlGLbhoy921bIxCL/9nMNTp8Z5ZY9Hpdvz+ilbZ44EDBa8ZgYsYzWY6oVJ4WMkTT7iqWOddq1U+E1V63wzCtdDp1RjDZCbr5ylJ986yL//vPw3LEanZ5lpa2ZXWqwfrLK9FifbRN9fu69XRrVJi+ehMNnJZ5nUcoihAGs+5+FNIXt6zNuvzolSzySNMDaKv3Y4+KCTy8HdT9WA/nWiwX9SNCPpZM2uZYv9Hy37wL0KAEJVJTmY18Z5/L1GeMNS7cn6cVwZjZj/eyR0Y3r4t/9ux/cmd723js//ev/7hP2F37mh/7qAPzUSx9n88ZJ9fIzZ96ps4sfeeCR0+HYRMzPvrvNbfvqLLdCMgMVP0UJSZqBlBbfy6gEKdaCEE4Xe1o6FvcUUSyJYkMQZ0SJpZIYosQQx5ZGClFiiFKIU0E/kURZQJKFHDpWY/8hyKzFQdtpY0+Cr5znox7AVRugUYGRmmSsrpgY1UyPw9b1ERumVkjsEv/2cyMcPzHC9ZcpLtss2bl5mW+/lDK7OMINOyRjDUPo9whkgFWCNJMIa0mzmOVOyOyix/WXV7h2T5tHnwtZNyaohnWu32P4mXcu8m8+b3jpfJ2VjmGlrZhf1kyO1hhrVBhrjNCoJkzVErZdHxN4KZ5OUSpDChdMWNxNlSSKuXlNkiqSVBEnzuIQJ/l5TCRRLOnHkigWLkCNBVFsiWJDFBtnO4gN/cjSiyy92BKnrk4QSIs0MLNkWe5kpJlL705OdXjHfU1G9Jnqcy+PfOSX/tdHTWw3fO6f/uZnsl/6B+/5/gf4xz/5CR47GCr74sx7+t2Lf3jsyNlw/WjICyc1v/XFRX7+/RfZtSWkHwekmQuWikDPWOFeC5AClLJobXMfiSDyBJHv0lZRbEgSS5xmLiuSlo4M0sySZYbM4PS2YQBud/OAluB5EGhBGAiqgaRWVYxUJWMjgunxlG3ru9RrK3zusZiHD4yzstBg31bFtg0eu7f0ycQKX3u6Ss3TTI0p6tU+B47jOu63WLqR4prdCft2Wi5eyJhf9un1q7zxpjbfebHH0fOKWkUS+A2uvszwKx9a5KGXenzpoUkWW5Zt0xnLTc1oQzFS86hXPWoVSxgYAt8Q6AytnNSS0p1Ha3EFKyNIjSTNBGkqSFJJnAqSRBIlLvMSJ4I4scQxRElGnDhwR4lxYE8s/dgdvVjQT5x5LM4E/UzQTp3276UZW9e3+TvvWObqLQ0OHBtlcf5MOL2+/9F9u/RP3fv6d5/4hb9vHw1Vfid+vwJcir6UovVDvd65//D4c2fCq7ZXiRJNq2d4/OAkv/JRePttS7z77iah79OPPZJUk6QaKezg0NKgtcbXCt+zBJ4g8iVxItzFSRRJCnEiXQYhHab90syQZS67kNk8U5KfViEEUoKSAp3r+8CXhIGkVhE0qpbRumHdeMTUWJvUrvDp70g+/JUJpsOQfVsFWzd4bN9o2LZhmc89YVlaCrl8vWKsAfVqwuwpydxygL8DokQwNSIZHYWjJy3LLcPFhZDd20Nee0Ob+x8JmahD4PsoOcrVOwU/9eY5PDnHnz06xsvnQ9a1EqZHU0ZqinpFUa1IKoEm8CHwQGvrQJ4TwwDkuBs7M5BlgjQjBzokmSVOIUkyRwqJIU4tcWLygxzg0E8s/UTQTQS9RNBJoZuJ/PwbKmGP99+7yNtvjbh2R4OXT0xw5Iym222hk5fCl46Ff7R91/FDQeBdAyTftwB/6FtfJcuyD33nqRf+Vad9orFtg2HbBkOrPcl4XbBlFB7dP83jBzzmmxf4e+9sMjGiiZKQTjdAqwylMrTynebWJge4IvZlvsQKd6Qu/5ukkjTFXbzMsYkxLuAyxmLtkDCEcABXSqCVwNMOIGEA1dBQr6SM1lOmRntMjq3w2KGYjz5Q4fDJUbaPeOxcD5vX+2xeB3u3tuimLZ56pUFFeUyNKUbrMFqPGBtJ8X2NEO7m6kU+S62Ela6l2UmZW/bZur7OrZfP8cDTXQ6fb1ANEjzlI8QIOzcpPvi6BW7cO8dHH6jz1MFRFjua6UbKaDWlGkoqoSLwBIEn8TyXcVKKPH3oUG4Ba61bvXKgp5nJVzdHCklqSDMH7iSBJLVEqUs3uty6oJ8I+qmgnQjaqaCTWuJ+is0iJqod/vbbF/kH742x2TjHzo2y1PJYaVtOz2VU6xLdeYmnvxNNj09d+4EvfPErH/5rb3/z9x/AXzq5AkL+zQtH/vRXdTY3cWZmFFSXuK/o9g1aQd2zTI8Kzq2M8q8/Izh0coG33tnhnuvarJ+I6HRCejrA0yme5+N7msB36b3BkUqSVA7AnaSOmbJMkhpy5pYYyxDcheyRuTRRrmDie5bQN1TClHqYMtaI2DDZYrbZ5be+6PG1Z8ZZWq6xa0qwdVqwadpn87Rgx8Y+2l/hEw9rTpytsWedZKwuGallSBlxft4SaJnLL0GcaLZNt3iajFZXsdyyzC5V2LM55F33NPnMt3xOzQZ4OkEID2NrJKnkhh3LbPvhFl97rsvHvjbOs6dqbBoTTNYyamFG6AsCT+B7Lk7RChc4SzHwZFjcTVbkyzPjAD8AeeYknZN3Q2aPU0GUA7yb5sBOoJ+kmG7M5qk2d1+/wtvv6vL66wXYOnPLNXqRJk0FI3XBtbsDdm622KzC8wdnJ67ct/AbP/Xjb1HWzv6eEOu+vwD+zGN/hhDiTU/v3z99374VJkbHOHFujGYbZM5kFhec1EPJUn+ET3zb46H9Ta6/vM0Pv67LD97SYmIkotsP6UUJgecRJx5xUgqWUp2ztiDJJGkqyTJBZsRQaxvBQJXkAWuh6ZWyeCpPN/ouqK1XIiZHO/SSHt86YPnkt0d46uAoY77H1ZssG8Yl6yZ8Nk5JNq+LuWzTMi+e6vHF70wxojRTI4JGTdCoJjS7GV95IqTuW4RwwOpFmrfeHvHlJ50nptkxzC1rNk/XeccdHZ461OaVoz61IEVJ4UBuqvRjp/U/+NomezbM8YmHWjz+8ihnliusbwhGQkvVN4Ta4HuglUBJdyM7JofCfmRyqWbMcIVLzXDVSzNIMrcyxpkDeC8TdFInSaIkI4siatUu73jDCj/8uhbX781YN+rR6dZodkLSzLUHSuEkYCPwOXPe59SM4exSj+uufnL6kYfX/erOy+8zp8+1/2Db5r/4sv5fKMCbzSaHTrbYMN34sQcffuBnT7zy9R0vHjJcsWWFm68wbJ6uE8WKi0uG4xcMza4DXEVZ0kDRllXONT1mnqjy5ItdPrOvzXvu6/KG25uMj3pEUUCU+MTJUKcnqSJNFWmWF2yyIcCNzZnbDD1lQtg8qHQ+Dq0NvpcR+AmVIKZe6ZHR45vPST7+4CgHT44gkoDtY5YNo5bJUcXUuM/6ScnGqYSt61ucnW/zH79UI40qbN4sGK1rGjVoVBOEF9Pq1RitW4RwQXOSSsYDRWpS2olPu5ux3FKcn69w5WV1fvptK/zGnwScnq+hVZLfGJo0DenHkvUTATfsarHvsg4vnT7PJ79d4YFnR5lpVqgFiroPtdzO4CnQ0pXzhVjtrjOANe6my4wgs5BmwuXPMwfsKHPA7mfQSy1pmmCSmImwxxtft8L77mtx59UpoxVNklVYaYVEcUCSagSWkVqMH8DRcz5zi07qnFsx3Hx1k/GKxwPf/ub0+0ajf3n1ta9NrT39R+3WGI2Rv7iZLH+hAE/iLlftqr/94IHn/u2TTzzVWF5JmV8J+ex3FG+85TzrJxpIAS+dNXz0oUkWulVqgeu6QRukEPSkT5Rq5qKQP3uqysMv9bj5G21+9t1trtzaZmpU0ahp4tgnTj3SAuSZysEtyYzEWOlWiSITQ8HcxmVjlEHrlMBP8VRMq5cw30r4vz4XcnJujOdeGcUan4mKYHrSMjkimGgoJkY91k1I1k+kbJrqMjG6zNeeNzz78ij7NgvG6pJ6VdKoGmqVGOFFBIFGK/f3rXXyqRdpev2E1AjaPUO7Y1lqeVxcbHDb3g63XrnCJ74RUllSaOniMGM1aeYTJ5Je5DE5GnLjzg437urw9N0znJ6XfPSBUeZWqpxbDPCVpOYJ/EKGSRd4Doi8kCo4Jk+tIDGQGkGUQT+F2FjIUkgTpIrYNNbl6m1dfvbdbW66ImOkokizKq2uT5z4A+LJjEIIF4OMj61w6EKVl0/XsUJQ9Tu8665lNoyuZ+N4k+eeemhiYXn031973U3L/X73i3+RmPwLA/gLLx5mYnK9+vL9f7Qrah1uvOaqJTq9Khs3tvjIA4pf+SOfm/d2SIzkwQMjvHgyZCp0bOorxzC+hKqEvpb0spAo81mIqjzwbIPHXu5TC/r82JtabJlI2Laxx21XtdHCtYghHMCNUbnmFq43Mn8ILEJalHA5c0sKMuWlk5JnDmnuf6rOS2fqxGmVulZMVSzjNctY1bo8eEMzPqKZGBWsH0/ZONVjw9QyDx+M+J37p9kwqplqQKOmaNQE9WpKJYh47IiiH2u8mgOVtYI4lYRacd2eHk8eGHXGp17GSstjYSVgdmGMn37zLOcWFnnyhSk8CYgEA6SpJk48oljS6WnG6iGjjRq37uly974uP3zvPIfOGr78VMhThyocOVEjFZooUnQThRISIcSawDOvCVhDaizWGDyRMeLHhCTcen2HHRv6bJ5M+MAbIiq+pF7RxEmFVscjSb2cZDRZ5lZTV30WJKnl6u0pf+cdczxycIk0g9uu6HLtrpQPf8ly4kyVxZUulx16sDEze3HXD733/Wrh4rFscv2uvzwAP3zoINPrRv0Xnn/qx09fMP/qkSfPcee1HbZtFBxdyEjMKH/yzXE+9U3nNvI9xWQIVc/iSZtfeMgsBAaqmWOOfiaIPI8o8+iaCu12yr/8xDg2TVg31efKrX0mRlLe89oeW6djkkTkeltCibnJ9aeUBiEFn32owovHawitOT1T5fxslbCiGAkEozVLIzQ0QqhXBCNVRaOuGKtrJkZhcjRl3USfTdMtMrvCZ7/ToNepsXuzpVFV1KuSesVQD1M8L+ZrT4ZEXYk37Sp+hUSpVRRvvLnHI88bOpGk08todTUrbc3FxSpX7KjznjtbPPdSldNLdZQ0QJLrZY8kU0SJK8x0+ppmx6deqVKrRFyxuc8te/ucnWty6sIK2svYf0LzmW9XEUo5cAu5+iJaAxisMaSJYdu6lPe9tsfkSMberZZ1E5ClHnFcJ8k0yy1NmmrSTJPmoHarpyIzYmB9MEaAqHHPtYo33RyjVAb4tHoKK1c4saLZsa7H9btaTI/s+FfPP/9Md9v2TR8+cuRAvGfPvr8cAH/lyBmOnZzd01w+/1vHX3lOXrxY5//+XIVu4gobdS2ZnCDPy1o8aXJtWMrT4gIfl76ypEZQM3lEbwSxkUTGJzY+iYH5Tp1vv2iwGL7wVIIQmbtI1gwrRVDkAhFCIYREKkWaaKTReFpSD2DHlKXmGaqBoRpANRDUKpJ6RdGoakbqkrEGTIykTI1FbJxqk7HM//WnIY8emGbnBIxVc/auSuqVlGolplbtUalUCZREyVyD4+RAknj0e4JelNGOFJ2+od0zrmWu5nNudoTXXBnxM++d5Tc/ozmzEiCEwdoEk1mS1CNOJP3Io9NT1HuaWuhTrYRUgyphkFCvxNywO8b3Em7anfKB+7poleZFIIMQdrUozyWdMRIhJIGnAJ9+pFlcduxcHGkuBQfS0LjYxxg5COrd6bf0Y02356OUQeYxkKczfvQHEt5zd5sock0V3374BXnLLcFvVbzOd7rd/sG/CGz+vwb4i09/gnVTWeXZ/YffefiVkyIMfK7aYZhaSml2ndfaGIMpYw5b4G54bgs9aItKo3VpviJfm3+dDrSiIrUqNxQFZNbdIOWLVfwNJUAL4SqVCsKKJdSWUGUEHgQaQt9SCQQVX1KtSKqhdgCvCUbrhvFGysRoxPR4h43Ti/zO/YaPPbCOLaOKybqhUVPUq4paFaqVjHol4cKi4fiFgNB3NoPic2ZG0I81O9Yb1k/2afV9en2bs7hkpa2pV0Lq1VE+cN8cJy5c5He/uAktNRZDZjJSY0lSTRQrerEzRnVDSbWvqQQelSCj2XYxhu85B6bnZWjpGiWkzHKwucOlTkUes7iVsGlyl6WRGJOD2JTinMxVRovXg98tr56Da20H17uIi4xxduWVtsfFBUUUZzz/wn5xaqbzzsrotuP/4cOf7v3tH3/v9xbgv/c14fty9hc310//4u3XzMm5xRFmFjxqFcVKO6Xbd6Vzl2ct0lOFPrYDDWitHQDc5LnZzDIo0GT51yYHfza4IcQgULK2xBwUBi0XWGlp0BK0cpkFTwk87SqivhaEgST0JZVAUQkV9YqkXrWM1DJG6ynjjYjJsS5b1y3y1JGITzy0kbEwYF3d0KgKB+6KpBYaamFKvRrx1GHYf6jKrimb695h2bwXKW7aa9m9tcfTB0fpRpZeP6PT0znIPaphhUo4yvvvWmL/kTmefGU9WIUxmVvlUkua2IGfpBdpqn1LJVSEviHwPQI/I9AGrTM8bdDKoJRx50W6KjHCIsjZPAffAOjFkZf6s5yhs9LXxevh74hBSrZIB1sY3DhZJkgy8jhCsNy2LC4nXFjKOL/cle9+w8l/8r5b+v669eE//9s/Tvw9A3gS92Sr3fvlf/gvfv8fPP7YRb93d4f7rkmoBOODdrF2T9Hru3JvkrpiQpZLEWtLzG3yu7pcaSvytAXoy8+2dGOU39SqjEl+5AUdJfOKpQJPi9y05ap/ga8IA0UlEFQrgnrF0qhmjNRSRusREyM9Nk4t8+ThHr/8h+s4c26UyyYNo1VoVBS1iqIWQi3MqIQJvten2XdzWzxlkXK4XGXGma6S1KdRSeimhm7kHHvdfka7K2lWFNV2QBjU2b4+4Vd+vMkvfUTyxCvrsCiMNWSZIc1S4tQQJ4p+rOgFkkqkCH1J4FsCXxFog+e5fL9W1gFcOYCrXKYIYS9p0DUlsA9BzuB1tgbUw5+t/bd5GjJzhbckdWaubh/aPcNyM+HiUsaZpYy7bmiyd33Hn7lY//lg8ke8VuuD/7jRCP+rezv/qwF+/FyL07PxPz/y8rf/p+1jF8PzQY0vPGzZtWmJK7dKrB1DK4+gregEkihyvoYkLwk7li6D3Q6KMqZg8xK4ixM1BPbwKOF6YJ4aGLQGABco5dJlOm9F87Qk8N0AoDBwIxkqgaUWGurVjEY1YaQeM97osXFqhScPdfmlD09y+Mw428ZdhqVekdSq0rF3xVINM6phQpLF/PE36kil8KRFiWGa0FiR5+09Pvj6Zb7+bEw7DujmAO/0FO2OohloQj8g8Brs3ZLyz35ikf/9w4LHD67DWElmXFk9SZ3RLIoNUejsrkEgCD1B4LvKpq/toGKrlUHmmSspHNBFOX1YOqEDBjZi1Ypp8waRrLhma8BtsrLcdKnHwkIRJZYo/6zNTspSM+PQjGDXjjbvuitjaWmCT96/GL5m+Rv/8w+++T5h7eI/FGLi/1uAL86ewFhz6x997onKDTuWuPnKMe5/ssLnHm6z9/1t1k8GWAtKanwt6XrOjhnnRijn7MtLxVnB3AU7rwH9gA3sEOCsjiWLRwHwwoNRVPKUEujcUOUALvE86fwbviAM3MyTapBRqzhwN2oxo40eU6NNnjrU5Zf/YJyXTk+yeUwwUStJk1BTC51/pRKmVIIYz4s4vziGpwRKmjwtNwwys0ySpooNY6540krC3HNt6PUz2n1JpasIfQ/fC/H0CJdvTvlnf2Oef/T78OTL03mQ50gjSbOcyQ1RYAhjSd9XAwnmeeBpJ9GcT8W6IL/IjefPZYwXOLeIQc584EwssXOx4hYAz0ogT/OfpYPyv7sR+5Frmmh2DBdWBHgp77qnhcckT7/s0ezNo+OHK8eP7bxVrM34/LcG+LGXv8D2rSvVf/lb3/bjVsRzhy3vvbfPXKuP9nuM1AAiRuoKC0ih0VrS95zzL0mEq5hlOMli7BDgZgj2QrJYMzQK2RLAV9F2/ihK0oVLUEoxkCZKumaJoTyB0IPAN1RCSyVw+rlaSWhUY0ZrPSbHmjx7tM///ntjHDg9xcZRxVTNMFIR1ENJNVRUK4JK6G4OV+qPefIVQafvEyrym8xp8EKXZkaQpJpaqLjtqjZPvdSgmziZ0osyuj1FO1AEvsL3/Fw/j3LFFsOv/eQcv/Db8Pgr0yRGkhiTN0sPezAjXxL4xrF37k3x8pvbHeQyZSjjZCkQLJ/W4jQXq0959czM8PsDcBfV0axwLg6NXHFqiOLMTTPIx3c0+5LlyLLYTHlq2XDgeMJ7X5+ytGh58Bt/5lc2vLH6kU/8WfdDP/S2//YAf/nQCeoT20a/8tAn/uNorX3XvdcnbNuguWLHItfsWaZebeOrOlEcU696mEyCBSVV3lMpiLUomaLEwPAzcP1ZizUFW9sBew9Y2xZm/tKFEM5QJGQO7txkpAYAdyzuacdkvge+Zwj93GAVZFRyeVGvRIzUe4zVW7xwLOJ//70x9p+aZv2oZqpqGKlALRTUKopqRVEdsHdGGKTUq30e3u+z0gwZGxuWyYv3PAy0FNMTivuu7fDwM8b5q2NTArkk9CShp/G0j9YVpDRcscXyqz85xy/8tuXxw9MkRpMUDsDMDpg8SOTAXehric6bRbQUKF2cGwbvr7gJC6kiClcaq1fMcuw0jKGGgB9ey6GBK02dlIrzBuhuZGn3LK2+cyUudRS//rEGfiDwrSH7+gibJw3r1nXvumPrsd9/2zs/8Lfe+cbTKyPj2/7bAvzixYusLC/9wqe/euaHLs7P8Jbb+mze2GWunXL4bMq9NxgqfkS92idONFnq0kaipIW1cpbWJBW546+4+0XpZNlVgeQqvV2i76IiV0gTIQsH3VB3F45BrVyTsqctnucai0PfEPoZlTClGibUQvfex0eaPHck4hd/e5IXTqxjetRjupoxUrU5uHP2DiWVwLF/GKRUg5jURLTjAKEkXsHgAw1eBF3OGJYkHjW/7+wCcchYAfJ+Rtd3DB74Ek9rPF1sQGu5ervlN/7WLP/rfzA8fmgdidFEmSDOTM7igjAxBJ7F91wPq87jDq2cRVhJmZ+fvCu/eC4Zs9amcsvZkSHA81XWDhMBBbgH2Z7MJRmixNKPrIs3ImhFgpUIrI0Y8WJec12HI6drnFnSbN8cc+WOObaMNn7oxLH9x62J/9F/UwZvr5ylNrJp25987A/3Vc0iK0sNPvbVgE8/0mC5C6dnLTfuXuHn37/IzXu7VGOfJFOkpcS/lBKdQJwvk2nGIFDJiqAyD2KGJ1GUgF0CeMHapYsyWG7zDh2VB1NaWzzlgO1rO3APhl6W6+aEShgx1ugyUmvz5Csp//B3Jnn+xDqmRjRTlYyR0FLPwV0JXTqxAHclyAj9lEYt5pVTloeeq+FLiadcZ40oIcXkTOfOjeaeGxJ2Xdbh+JkKU1UGHTP9KKPbz1lYK7T2UNLmRSPLVdvg135qgX/024bvvDRFP6kQZS7OqaZOsgQeDuS6WL1MDnCJUtlghVNSlAAuBoH6q40+G16H0ipbrLzWllK7BYOX9HfeEdSNoR1LVmJJHMfce9UC/8v7m1y7U3P6gmS5E1APfbK0ytP7O1ROPrvvbe/80Lajx8+e3r1zy188wBcXLiK8xvaTR5/6P8eqK2/ftTmlFobMzHtcWMrQfRjTggefq2AM/Ju/t8iGsR79yCPxnT+k6K0sgr5UD7X4UL+JSzMlrNHcA85+FXALi1RFWtCBQauctbXF1wbPMwSeIfBTQj8lDGKqYcT4SJfldpdHDsKvfXw9Lx6bZDIH92jFUq8IaqEY5Mpd5sU49vYdwCtBRJxl9Hsh4aBaW1r6KeeDJWmqnZbXEVFs6SWiBHCD72f4nsbz3FQBJb0BwBFwzQ7Br/2tZf7ln6Q8fmiCmWaDfk0ymlnqqZs2EOSHN5BoNk8XUgL4kMEH71esZvC1IC9kI3aYHLCDILNg8NyCmxYNE64Tv+gIWu5atq9b4ed+uMWdV1U5NzeOEhWkCTl2xuf8nODMhS7jUwtv3/DMk9lrbr3mfz53bubU5s0b/2IB/thzx/C8yi1nT73wTtN+hlv3hczM1Th+zmdyXjC7mDK7nCGl5IUj49z/eIcff1NMGCTEiSbNUswA4BYlRe5fKLzbdpgiNEXRxpbYYm1sPwwm3biHgr1tLk9s7hp0zD3sCCrssQ7cgZ+De7zD/HKPX/3jKl98YoqFzhhTI5KpMAd36HR3NQ8sK4GkGticwZ32DoMYiHnwBZ/lxGciYJUfu/DcFEFZlrnmh0agee31XZ48HNNOAkby/sd+bPCjfDyGdgDXyqKkh5CuQIOFy7dIfvNnW3z5yR7//A/WcW5hjN6oZtQX1FNDNYUgcaOXfeUGGnlFoCnFIAgunssyRYhhs8QlKURWy8cyyAfFOTP0l8epa3mLU+cz78YCVMJb72hy3U6Ps7PjnJ0d4eJiwIUFxfm5jBMzGecWUzZ3DnBPt/5OIu+PPXqn/kIZ3KRthKrtfuKJR//+408dpdXzudDscPsVPerVcXy/khcyEmJjmVvyeflESD/u42lXOfO0wZgsB6ZFSemqmzmTDXKmA+YWq3T3GvoeMIsUZrAqSGHzCl3eoCwdsHX+9z2d4XsZvpcS+gmBn1Cv9NC6y8P7M37/Kw3uf3Sa2DSYbggmQydLXAqwyJOr/BA5c5fZO0HriMdeHqUbazZUi/ezlsEZVAGTVBF6iluv6JEaB/BeIugX2ZDYjVzzdJHiVDkQXfXRJWYEk6OCH7q3Qz2Y4Q++0uORlye4mFTohpJGaqlp60CeD0vylM3jEpuD3A6yTkWBTEgQrH7vlzL5MPgva/JyRsU1T9hhE0WePowzQSXIuPKyhMCvcHGhzoWFkPPzijMXEg6fTemYPnff1OOKLR4LM8c4fOLav7/vhrueX1rpHh0f/U/vLPGfBPjc7DlefumzVKujG+Puibtv3L3E7NIojz1f5YWjy/zNt8yza/M03X6FLIMoTbn7+h5vuzsm8DXtrnDAU+4iOVDm0iETpHnpfVDNLPLeFBmTV8kGrpIldrgqFM95pc41KufgVs6LEXgJvp8QejHVah/f7/LxBzS//kfTHJ8fxwtC1tcF40FGI7DUAqjlHfaVwFU7w7wg5PwrWb4SOHmy0MroxD6+UvjSDgLM4s07U1keaGZuFYtTj4rXZ/1oj5VunV4iBlrV99z8F5fmU3m6Uw2LM4PA1Tkf335nh5uunOfXPtrnY1+bYimt0Q08ap6koZ0HJ9DgKwbNELoo+sjC2iBKXUD2EoAXBasy7axNHRZsXqQKXbeQK9EXP/e0ZTny+My3xxgPfNK4wuyiZn4p5fhMQiS7/K23txnxxnjiYI0TF5rMRs/dfXKuuXG5uXL05Knz7Nj+528//p8EuDEZu/e8ffuz+1/5nd//zLdJ0oS33H6BIPT4/S83+N0v9rj7aoOvBWMjmnpVcvWuDtfvrNLpubYycB00RomSdRWMEui1AC+YmxK4y7bXEsDL4C7KzgXAtSqYO8tBnuJrJ0kCPyLwepyaTfndL9f4/HcmODE7RqPqMR7CWJBRD2xeei/ALXNwy0FRKMy1d+C7G6dRi/jcY5qjpyuESriKYQEUhigfFkvc6pWkmsu3wVtuavP7X52gU9U0Eks/sQRxHjcog9bSZT8UJZB7JTp1q8LWSck//JEu+3ac47fvH+fExRGW0gpdT1NTgmoOdF9ad+PkWabCtyNLldcBm+fR/NpqZ5GwLQN86Cka2i0yI3KQM/CqhMoy6iteODzFnwjB1dskceqyLTs2Ce68oc+1OxQf/nLCmbkFfuCWlPH6YbZP3/g7t1x7x5uifvM/KVX+XIBbmwCaFw88u/ni+Zd27t3YZ//RUT71QA8pLFvGJb12naNnfDZOwVjDBWGNSo2FJUEliJG5i05Ki9YZMrNIYXLTjlxV9i2D265ypA0lSdmJKIqxEnIIbBdY5gDXGZ5OXeeOTgmCCF9HtLOY3/q0zx98eT3nF0cxqsL4iGLct4z4hmrO3NVB+V7mPpVcmuS58wG4fVe9jJKYo+cCOnHAWJBncYqiUwGSYlWyJU9KomnUNDs2x6igTzuu0/MFlcQSFQDXWV6oUS6PLQsL8KsFr4qpkS4//fYu77znIn/w5Ra/+9kJFno1ejok1IqqFlSUJUitY3NpB3pcl+OZ0uiJsiPwkmrnmgpzAfSsVAByhjnXGicAX1rC0FL1BL2O4PSFmGro0qK7NwY0/Clm5lNuvzrmDqHo90d56OmUvnh55w2ev/mafTee6vQSahWP7/b4cwF+7vws1WptSqA//dSzL3iBVtywx+fkjKIfGaYagkooGatrKoGlUXUeDs8zA7+wEGYARCEEVliUFbmFVpRYuwxwsUZxM/hOGdhD9jYomYNbZQ7gOkOrDN9LCP0Y34tp9mMee1Hy8QcafPY7E/SzOr7vM+ELRn1DzbdUA0vVH4I7DCRBIAlyaeIKQ3lmIge477nK58kLlkeerRInHkHNXhJgDlbFgQZ39tI4UXie5r6b2nzimx0On6vRC13VN/IsfgpeYvBi49J7UuRaWQ6H+xQAL3LsRlINNOtGe/yv7+9yxdaIjz1Q55lXRpjv1egrH8/ThFpQkW5zAU9ax+aSfDUc6vFB4DlYSVdfIYt4VYAP2Tx/b6UbQQrQwkmlJLW0OiavYCsWlj3SNKQWWjyvSi8SnJzJqNdSTp94zrvj1hs/3eutXNvrdOb/qxl886ZAnjl9+Jann/72yI71K/SiaXwt2bFJkiTkxnWohpZaxVILM2phSuhnaGWGYJRDz7FVRSApS7luAfnFKU7WqvMnXo25zcDuWRj4nRXUzVIp5IjWCc1OwqMHBX/41QYPPDfCUrOOrITUK4pRz9LwDVXPUvUtFZ+ctR1zVwJJ6CtCXxD65A49k4PbEHhOfysdceQcnG+GrrCS69vVhZNhytP1QYp86ZbEsWZdQ7B7S48DZ1K6iZePaQA/xuXwVZZLlKJQA3KNT2MApjx4TzLnD3/ffT3ecPMy33q+zUe+1uCZVxostqs0pU/H1/hK4EtBkLcOauGC9MKsVqRgB3WHVwk7B+AePIvV1c5STaPYjdfgZEs/sci+zU1kbvhQu6fwtUQIiBO3G0UQK87P93jk0QdH9u577S2NyT1fzU/nfznAm4tzgSfsf0g6F2tHTk+xc7NgtJ5Sq7iiDLiL6OXzRFzqzQVdvpfiqQyts5zFB32uufRYLUtAsLqQs9rd5k6sLckSM2Bvx+AZSmb4RTZDJsy3Ux5+VvOVR+t88ZER5lo1RBji1T0aGkY818lT8chlB1R8kR8yt5zmutsXBAV7FwDXKb6fEvox1iY8+FzA6QsVJscFnjT5Mi+Gjb4lJNiSzTTLFL3IY9s6wX3Xd/n8EzGdxKOXCELP4qeOxaOkCKAzp8EHBRm5Sqa4Y3WTQppqKkHE++7t8QM3LfKF77T58qNVHn6xzlyzSk/49HyN9hRaCDwp8KTMgQ6aPPgstDn2kvRhOfAsA9y8ijlO5E0o7rdEnkK1A09NNzL4HXdDQ5GNcYRx+eYa+1+Zr+24XPyHpDN7BdD7Lwb43Iqlm/b/+svHPj/qqxVuuaLKSN3lZIs70RVuhrNFtM7w81Sc1hmeyla1RxUAp5AhVgzY2n1/jbIbLIk2n9uNu1mkRQlTYu5cioQJvSjj8Hk4NaP45DdG+OozDeaWauCH6IZHVUnqnqWuDRXPUvEg9By4Q8/NJHQ2U1k6RP5zm4PcDEDue6497fiM4cDJADwvX+ZtqUS/un2pnFbLMpFnU9w456t3RFy5ucOh81V6oaCaCoLEEiny1J7J2bvIphRpvKFWGeTZBw0KKp8+4NGPPSqViA+9MeItt63wwLMdPvXNKqdmQg6drxKvBKSBpq81UkmUkEjh/CsSJymK7IocEE8xl7wIOYdZMFMGe+l+UMI6eWIZdGolmcBP3FBPrYarRrEyWStY7ggWWhLtr3Dx3Iv06n9+qvC7AlyYZUEW/8zzBw+Nmn7MjpE2e7ZHKKFQUtOPNf1YDos3Oatqleth5Ri1kCdCDOqR7iPaQoqU1NyqfGBZc5vV7C3cfz8IUpTMyLKUC4vwjW97HDtX4eGnKpxfrnB8pgpBgKp5hFpS01DTxmURPEug3eD4wCMHcXHI/FA5wMk1dw5uLyPwHHv7OiEMY07OwyunqnhydXqwrF2L9NogZzzwVLvexjT1uHJbj93TXQ6eSOmmHvVEEGnw8yKJKgFcSoGQchWTF2AY2ljFIJh1zcGKJPOIPJ+RSswHX9/nzn1Nzi+3ePBpnxNnA77+XJWZxZCs52GkyylGUuWVTZl/FjEoAg0D3VcxZr3K1wIGq4EWAl+4gNNP3E2sSufNWOjGgl6Mi6tkxI27IzZMSBbnDk7efONP/P1TZ87+xvatW17FPP3nAPzYwU+QZoaZ84scPV3nS0/2mJ6EO69uccXmhImGYM9WsMb1BZbzoVIWzaUFcxcAH9w+r8LY5Yct6e6itSqXIirDCzKSzHLirODACcU3nqpy8GTAyycrtKKAKA7A81ENTaAkVQVVbamU8sCBLnwahW3W+cKDXJb4vsL3ZX4D2KH29rJ88L7T+aGfYE3M7JIksgFaS3zp2ElKSnFD6dMVWZS8wbfoc4xTD4FmajxGqj6dxKOrhct0JEPDmCORcuWxnGjPM1MIrJFDJi8NRvIyNRg/0Y181o/FbF2XcMNlEb24x4+dbHLwlMc3nqxw4ETIibNukI8NFFbKvAKkhtFz+e8P1+nS61IxI39k+QmJhaCf3ywSinUIYS0msShStm/tcdlIxOWbY+64KmPjWEizPc6J863aNx559IekVL/xX8TgJw99guWVnnrh2dPCGs1kTTAzJ3jsTJXHDozg2Zgt69tcvbPLD9zQ465rYrDOWF+vlT6fdQGEtWI1wO2aGFy4qnPxj4QErY2TJtKSxJZu3wWZp85J/uSBgG6ieOHlkGNnAxY6PlHqu9nHykM1NL4UVBRUpSXUEGhDoHLjkXKs7XvCFT3K4PYkfi5LAh8Cnzxr4uSZpw2+l+YV0YRKGDO3nPGNx+s02wFjIwI9iA+GIL/kFrbkJe1hb2MUKSYnFG+4rc/Xn+lxplmj50knUzR4qcVLipx1nmOXmUsXUp51Igd/w1i9uq0sZ/JMK1JPkWSaJPFcKtVLqPkJd16dcOsVMe+4O+LIWcn+Vzx6seJj36hy8qIHQtLtabKeGhQ1rGKYT/wunLWKwwvs5/PFES7DEtZcQU7YjNfe0ON110dctTNj67SELESJKhcXxjh5tkaaRizPnhHTm/eqj372S+kH3/3W/zyAGyMYaVR/a6x68ZpGCCtCs2HMgWK+7bPSDXj+RJ2njqR89tE+E40epBHX7454331dstSNK54aNVy3L6Ea2iFb5wO/Xz0GFwgJzS7sf1Gz2JJUQslTr3h86Tsh/UTRTxQXLvoYoUmshxEeaI0INFpKfCUIpSVUllA6pvaVLW1aRT5F1jG3X/RlDsCt8h5NMWRvz+D7hUErG7C37ycoFfPt5xWff6KO8jWBtHlOmTWejksZvMiFOx0uSTJFv+/x1tt7fPGxFh97cIROGlLLdbhX6PCEQdNw0S0khBwwaV4vLml9sSotmWaSVDsm97Qi1RqdZg7oKkOrFO2ljFdSbt+bctveBCsi3nNvl37uJfmzRwOefsWnEggWWor9B31aXVkat1JmdbvmOrv3VQsM192YMDVqBph5z319rt2ZkSaKsYZipOoRJw36cUizH7LcDFlsBVhcP+fiSuuarbtrvyXgp/+zGPzA0SVojDUOP/fZvUdOV9SBY308aamGjoUDbRituA2NViKPZuRztF0nyVKOzsR86ZEYTIJNM0bGEm65JqYeuvzmq/aYraJxt+SudCTPHPBpNRVSKSIriYzCCuWWRqVBapAKKSWelPjSzTgMpMGXDgi+Igd3Dg7NwDYaeOT7/chB43EZ3I7ZLb5v8nnkuSzxhn6WQCdYG3N+wSeOQoIROZjSpcRQZw6qmEVHD8Py+hDkbmhOnHiM1RVbJmN80aeXBvRSQUW7AfWFh0SpIv8/dP05fez+lvsbMi/+mNIQfOMG4JekUZpmed1ADUbaqTQjjvPx1TJDqpTNU8W4iYwrtvWIbQ+pDc2W4JkDmpWORBWR56vUMgYrNC4+qAWGW65JGRkFm0is0Wg0JqsQJwH92GdxJaDTC+j0fNo9j3bXbYrVqMK+nXByNlPTtf7eN7zh3Y2/budaQkz/+QDP4iW6y63feOGll+9V8jxROsL4WAWtBJXQuPJ0z1DxDFVP0IgFnUTQTHw6qU8rNVgS0AmtZsaFh0oDeS6pvRfYLu52R3VWSEyBEiSDbmEhEVIhpEQJgSdcudcXruzs5wznySJvXHrWeSe9It96jwG4XVuXws/B7esi323zhgGbO/oMfl4d9byEIEg4u2D46NdroH08KYYB5kCeiEsYfAjywmBWgM0N1YkTjw+8occXHu7x8mydTuZRTd2mtM4FaAedODLfk2fwt8rns1gpcqvyIC1pBJkxAy+M1govc4UxrTN0plza9ZKEgcljIfdaS4NMDFMVww/eYUCmwzBTlHRqmcQgX81djJClAVnkfPFZqumnPnHs0Y/dZgjdvk+n59PqaNo9Taen6OcybeNUzIWViHb75XtXmid+w2TZ3/lPMrjX/RpKCn99vcOxhXXcvNeli7JM0Ou77eN8neHl8zV0wZJSUlGCllT0MklqPKw1ZCYFTAnk5Q9dWsZEDubBWDEBQg2idSkESgiXWpI5oKXFEzmrSXJPRd49XrzWlOagFKw97KofAlwOZEvg21y+mEFA6QbnpPnGVy57ImXM6YuC+VaI0JpAskqeyDXxVynkWtXfOMyHO30cpx4TjYht63scuhjRyzT9DIJM4GUWL811eMogAB+U0IUq3U3D+SRu0u6wiXsojQw6M2RKoLXMwW1Q2gyGBKlBrWEI7nIiQQqDSIpUrimNobhUmkAxb0Xm0kmR5ePfklQTJz5R7NGLCnBrWl2PZsdtQ97uQrfvFMG52TFGvZSHHuvzzCsP+q+mEC4BeNR7HgRsWd9BaY+aLxmp+lyYr7CwollsOsOPFClIp/TcxXSRvRaCIBV0jSIyisxolx+9BNxr7upCPw4AXUykAk8UeVOnb7Vw5WQt7apnlTcY6ALwmkGDra9Y1XDswC3ds18AvQg+yYFd7KhsBhLF026jJ99PSEn48mMVZucreCMKv5AmeYA50N/DTzlkcLtaH5eLPv3ITbB98x0dHnuxTysN6WpNJTXE+Qo1NEaVqozCMOwcKgJNwWoDlMrZGzLt/qZnhAN45vxCzulpSFXO5NIiS0AfFNoGz+77MEwJi0E5364xrog8w1OkSN2qVQS7UazpRx7dvken7w3mNa60JUstN0NlsZkxs2wYqcVo39Lqd6kvxK+CrTUAf+Kxb6Or1dd87Ztfueng0dOcX7Jsm+5x61Vdrtoa4XujCOlhrR60JFljMdhBg0JxanUGfQGRFCR5ZW3gEixdcJcTHT6rAbAdkJUYeiNUDvTCEKTk8HXRnqYH/ZeilFYrhv2Uu+pLAC8CTo8hqAfSJMuzJ0Pt7XsJvhdzsWl47lgFtI/O5YkuGZSKzyXWINwVuUo+6gGrDuf9JYnH9bsiJkZ7NJerdFNFVYGXus+iMuuOpAzwvGYw+ENyUGQZeOyNHbKnNQPJopV0+jsTg/HSjr1l7vEppmFlQ4NbbpcQOdALC4X7vEO/OqWhQuX3YqzE5HMOk8HUXE0/Z/BO38mSVley3DIsriTML6ecWLDsvazLXVf12TDhMbcSEoSjN+3e+/rX/P0PvuXRH3jdfa8O8EY1wtPZD26arFx38XwdUsXSUp0XDne57YoOG6cCBIIk0fRiRT82+YZPkHmW1OadOSUzjWcgtZDBmvmE+YVZ9TxM8ssczFIM3W0FuAdH8bUqAD8E9uC1LgA+BHbRfOvYO9fcmoHeLlKCjrGH4PYG7sQEQcL93wl47GAdGbi0pFc0W5QyJ6tMSiWUlwPNIYsX01kVvb7HbVf1eMudbX73/jpxFtDJJGFmidLSTS1KMkUW5rbyn/puTO62dsmU66TKlJMpmZKo/LUzduXAVjZ/LUsOzqEfqAzyYe2jJFXWsPjwc8ucwYfbG/Zj5fbnjCT9SNDrW5qdjNmljItL0OzBTbs0E5UJFhY8zl80qIp33chk+wfTNH30VRn8wJEZ6o3GGz75hS//iG0e4vW3J0gqdHqaelVQryT0ogW0P4rWoy7I0xLfcyCPU3eBE+mGXBrpPAZSWLySH2HA3CXWFjnAVeEQFEM2dyezBPJB506psVjiLKSqALtYzeJ5N4ynVoPbjVNYw9x5z6aft7d5umg4SEtHQkzCpx5skNkANahelgPMUl8jw/TdQIMXLD4YmJMPsMyKYFMj8Hjfa7v88ZcjVkxCLwvpZQIvZcDiUlpkKgZywaUL13qPZCk1WTJAGUGmbb4rch54GovK4wEXY0kH5MzmbF7k+IsU5XDGYXmY52DGihgW+dZabIcAl4OJtUnm9lyKEpnvmFfMVjHENmbFQKuv+MJDVWqhpNvPMKLPXdcf5pYr1/3Itt3vfOjd3dNf96vbVgN8rBpTC3q7pmvRzo99zfD8McONVyyBEXie4ZnTGV9+1COLMvZtS6gGntO2niROih12h2V7JZ1kEeXunDXgFqK0nJfBXlrmC0Yva85BBkGwqq+wALfKwa3UmmE3ObC1EsNMSgFuz5nGXGOyzZl7GGDqEnsHXsxzxyRHZ0Ks8lBS4kuTS6qyRBkK8LVZFFZp8GEDxGCgZaZIUo+dGxOuvKzDE0cqJMqnlwpCCV5m0anIpVtubU1zHY5EYNYASpRYvEhPlhoTdB50apsHnRaVCTJlkVKWJIooNZfIkqMzB7UsA3yoxQcgL5VDhpNs5WBwqi16VVO3d2eauWt3+Q7B+964RD/r8IVHq/QSz60wGG6/PKXqBRw+oXZWxpNdcWy/fgmDJ/05YhHiiR5jYcDpMxX2HzFESQY4o70nBNMN6Eeuo8X3XbdOnLgAo+jBK8BcmHIGxauSJi2ei15KCavYuxw8ycFSPAR2eWiNyrv0BwAvRrUNwC1XAbw8/McBmgGwB9XKAXPnBrIiuNQJloTPPFhlcbGCCLTLu5dvwrUelLIuK6UIhwNIhz7uQW7aKJJEMzkuee99bZ471iDKQrrKp5I5La6LuESSg7tYK0yeEy+MublUWaPHXSdVMU8QjMzBriTKuHgiM/nKZPLWQ+nGvmWyFGiW5hvKEsDdilLIFEogH7JdAWwhihXQxSZRLOn2BVHsfhb4mjiaZnq0xk+9OcbzUiAjinxa3QbHTnuwnHBubp4k7l8qUU68/KcEvmDxYp9aVbPDF/QiSZy6LIiWUAny/Wdqbpqqr3OjkIHjF2PakSTJhs2nAzCXZMhQlw690nLNMWD2VbKk+Ho4zKeYGCvlcEcxN+ynkCjFkJtif3uJr/MBQAW4vSG4vUEp3uSvs1WHVq5z5+XT8OkH6kTSH8gTr/weX8WDsrZyW/burB1RbEogDzLNe1/f5w+/2uXFExUS5dGVEj8zefZIIDO7iiyELKwRJtfgJv9bq/ctGoyeLkZVS5eX18aijAOxzgEuzRCA0th8lzo5ML9JafOhS0Mml0IOg9/cPiwYMnsBdvf7BuG5n6UZHD/nMbfkWuFcL68ky2pcXAyphs7U57ZkFHT6mjg1PHfgKF969MJgFvsA4NYeBvZUP//Zf79juXWGdRM+SuY7BmcuUyIkeMp1t1QCqIYQ+oZaaJia6PLQ4YjZ1gihZ1exWQHsMhuLSwA9/NlasA/HQZQGaRZAL5i7PMVKFaPacnDr/LUWpYLPENxl1vaUcTNDBi1iRU9nmh8Jyos5el7Tjn1QOpcnJf1dLs+XbvBVWRS7eoleXYQpPNyKLNVkmabmCfZu6vPi0ZjMBPSMT5g5z7bONbgSbrCOS7PaNeEsDuQD371cpcXde7AYNQS8Mu5cFgyuTcHaRaDv2F0W8khSakIhB3iJ3U0+3aycecnfpPtvuvz6aD3FEPHSqfW0miGV0NkoepGk01OEvrMXiGK1ySDOLMJCTVtuu2Jyx8/8nZ+u/uxPf6h781VbHcBbi7N4XvP1119V+wUVtVhqVfJJRG5z1Sw/NyqvEAb+cFDlWCNi0/QCL56K+d37Q+qNgIY2BCUNrUrgHTSzytWgFqXfF3KoYctVwQGbr5nlUbD2gL2lQOVae6jFGQBcl2SJA7EtvTalHsj8UHlfpx+z1Db8uz+ts9gLEYGHL8nTg+UZKGIVyL/bozya2JpST6UZ7neTpppGVfN339XmW881WIx8YqnpSYmfB/SDkQ8DOSAGmQuBGdhoXUJXYm3xLFalKXUxz0QJtM1BngfwWYnBM1mActgPOyChUgfX8PvlrwXSugCVXMsLXFrS92Imx1r86eOaLz+r2TZmGK9BNTCEvsD3UzcZN4/vsqzYqRnixDLf7PHa+0Z+4cEnDz7a6fS/MGDw/S8cB+lj+hfYONlk15YuUew2Nmr3NHHipviDO5me5xpua5WYsXqP0UaXim8wWUpkAqr57g3DgLOsnVcHkatYu9QgoNYs+avBXgK2FEhVHrI5bOnSUuZpQoYVTZ1XN9cC2xvOTtHqUvb2VILvx3zyQY+XjldAekgpCQprbLEKlVafgsK/q5uwxOZDuTCUKalxLWdp6nH1zi5vv7PFH341xOiAnvQJpBgUfZQUJMXfZw2TCwO2cEGZVQFd2RNjFCjrJIoxYjDTMZMF2MVwcL4UZKIMcvf5s4GLspAypZvA5hrbFu/HDAJxkVsCtE6IE1jpWGakJMkM9SCfzKVBCTdbx1iIU2j2JCs9N7mWLGb+wlkunPLo9OKhRDm7UEGqkPayRqZ9GiOGTk9w9TbL1vUhK52QfqRd7ySgVZbvChwxMdIhMR1OzNaxSg70pkv7DbWyHtz1a6VHEUCKVwX7oPFVrgV4icVLAHcz98SaQk8BcJvPyTa5R2XI2kOQD7MmWjn29rSbWrXcNPzZt+ssNAMI8+xJKTj6bhJlMG5hjWooB5iDRuQiZWgkJiuyKZqxhuJt93b54mN9FjsBsdL0skIe5cwpREnzltsPyCvJpQ5lzKAQVHTL6ILNcwYvgk6l3Osy0LP882Z5VkUOGpXXMLq0COs0vZQWK91oPTCQTwAebmnj5qbv3BAT+h0utMZIrGI0NoT5AH+Bixe6sWCxB+MjPa7Y3aPXd96kK3fC7i2abt/dCPrcmWNMjI9tf+zJZ3/msceXOXNhipWe5fxyxq6tbd50Y4v337tCklXodD0sAindnJF6pU+cdvm1j/l869kRhO8yCkW7li7ptaL4MmTxISuL8veFGABcSFClOd/FxFhZfL8kS4oOFzfcndXgXsvcyq6RJ2bN4drtipETWrnK5clTgiOnQwwBQq7+rOUC1XCAZWkaihjCbVWHS6l9b1iyH2ZUjHH7T2I1l2+L2bmhz+KhCjbzHYtnTqboNXGPCzJFKUU5DDqHq4cZ9G8OVhJZ7OAAWZ6VKjIsUrqfFyw9uLGUu7HM4DrZgfw0OeCNtCjr2h21laBy/Z3fmEY5SdaLfO67ocUvfPAC/+yjktlWnXaoBnMejYVOH1Lb5333LfLGGyN2b/S5MD/CUlOTpAt04+t/ZvdV975w+OjxU3puJaUZRetT233D5VtOsWfjBM8e0vS7Kc8cDHnucMiF5VneeusS1+5SJIlCCIvnJ7S7Mf/ijyv8/pcm6NgGQaip5OMHdOELkc7NV642XiI5cr1dyBGnw8Xg9wbAFqsZ20XyBdBz5i6ZD4fsnW9pvQrcJZDnPaWeygaN0jrvztf5sqlUwpefqHN0oQL+UJ54pRSmWMPea8dFvJpMMZcEnEVFs1QEMYo41lw2GfPm27o8/XIVjEea5Vo8y1fIbM00KlGkDosSWwFyUcqLD3drsFZgZP5agrROSRSsLnP9XayeRkImHKvLAfBtfm0KYA9Bb3KJgzWDd1SkFtN8EGkU+4zUQ376bR2kPMc//YNpVlZqtLTnxo6kGdfsafG225b5sTemCDPB6QsTnJ0JefaIYaVzgd1Xtt4wWV9Zr033lJbCNQTEkeTAMY32BBumtNs4SVhemR3hNz+lefDZeX7xA0tsGDOkBjzP8jtfqvNHXxmnY0fQQUhDQ1VZgnyQTLGjmV4F8AKYJWkiWMXSqwFfBroYMnjO2MMRCqViz+AYzt8bSJQ1AeVQa7vXbpZhXrlUTntXqjFPHFZ84ds1en0fqhotBd7AH7M6jVnOnIgheV+SJ7xEf69JGZbz4kmqGalr3nFPn68+1uWpwz625tHLAjwxLNurwd+3A4kyCDpL7WTlBhtb6HIrsMqxeSadHrfSMbmyZWBbMinc51auYDTIbknhWFuUXuernJXCrRpSDtOkgnyAUaHnfdpdQ70CP/HmHpoZfu9LDZTnkWSCzeMRv/iBFvt2eLQ64xy/MM6BYzXmljJ2b41JEkngaaLYyTzdj3sgFcYmrB8PGGt4TI8lHA5Snj9hGQ2gk1Z57NAUP/Z/eGgRuxMlPZajKn2qeIFPw4O6l48E08MmA13MwFPl4LAkR0qyQ5QA7+ZVD3sOB/2HUqwCt5Tl4k7JUajt0FmoV49QLoBcbKun89mFAz+0zlB55sT3Y5I446uPV3n5TBU8DyEVviissSXNWWjfVynyrB2+OSjXD8aelWRKYUQq9qfMS/dxrLlia8ob7+iw/1SFKPXJpEfPKPysZG0oCEJYRFaSKyWQFzZaq/L3ooqbzY3YU8UQJilQhR4vdHgJ6NIW18sxtCxYPdffZsDeFqNyo5eyg4bzwqYyzI0XM3QElVDwY2+OeO99826ZEBaNJJRVWt0GnV4FrWLOzbc4eiZgeiwg0H2yrIeUHaCLvv8rXyZKPTaOL/Dm1ywTZy1mFg3tVNFLxxgJBL0MzvY1893AxaXCAxUgdECgFSPagbto6nWl7sKHXfKJlO7yVc+5JCmDvgD2gMELUOfaW5ZOdAFqWbLLqsGYhSHAdb7D2ADsqgB5AWwzDCyV096BH3PwtODrj1Xp9nyoeUghVqUGh9NeWX1cQt9rstPWUVgxgniwsVO54FMyYMWJR70R88Y7+nzx4T77TwSgfSIj6eVaXBlQWVmmMAS5EC5CK4F8APQC7MU+ptKxebGqyBzgag3Qi+DSDK6TkyjGFL+T/xtVVEtFPijfOO0/OCO61IQ+9IwHvqYRRGgdo2QKKPqRpt2t0O4FhH5EWGvTExWePa7o9gWbtz5Dd+UQrW6GPnLqAtYIzl2IOTGjabUNT7zUwCNg67jbzWC8nVDxVzi/YGgnIegQoQOqyk0srXl5D6SX55dVKec88IaUTkjp5KwG9BDIrwZ0VQJ7IXEK1h5ka3Jw68H45CG43ewWWwL1cEinO/K0YP7seQmpzbj/0QqPHKxA6Nrk/FeTJ69SvHq1fswy2IfsXcqomGEzcmaLuSZDoEc9j7uv6vLm13R56XRImnpYoegJjZcxsBg7PX5p0UeUmNzmvgGrivklFqvylKF0bK6U8247uSGGciXPuBSBpzSFD14MAtLidwq5YwomN0VVtbR6ka1JnZabIiSekQReRJKmnFtIOHkuYGGpTr1a4S03d/hrd7R44mXL3Ipmy2RG3F9EWYsOZBXlCdpdn/0vubarKzdYRqqC0YZm3bhk7/Y+E+PL/OtPKT7/WB2pA2paMupZqtoQ5g29wUDnFrJkjQlKkgeEq6VI4byTha6T+XYaA3kikKosaYbBapGdKbYqUaWRwMWhLgG3KXUk5TsA6yG4lU5RKsH3El44Jfn0g3XAB+khhHItcUVqcI3lYPXOCCKHsiil7MSAwtd29wy24iuOzGUX3BTaYo94jbWa9722xzce7/PMcR+UR2qUcxqWbjqRDYPMslyyOX9bCyhelcllaUdqIwXSSpR1gacRAqPymMMMMyzSivxrd06yUmrX5L9nFHnFtLSr3mD7yNLuykZSnl0JUPETvv5swK9/YhPrwip7NwqmxwMuLPiM1EbZOpmxbTIlzgK6Pc8VkN76GucE7HTg7AVNpy8RUlANYLQB68djLt8WUa8bPM8D6VHRklHPDDR3UAxVLwF7mDkpyRMlXkVTDwPIMoOLgRxZDewiQB0C3b4KyE0pyMxlSQncq3R3Kec9PFI8LyUxKQ89VeHAsYobSSFdcOmXmjFWjRiW4pJMiigxNqsANnxxSQNEWYsXGwSowlaqiWKPq3b2ufsWx+K9zLF4JHwnVXItXtiV3UiJXAwMjE5i8CYGrDnQ4e58Fl+7VdNglUCaXK7YIUkV0qVI9w7kihlmUQZyxQiUcausA7daNYi1LM+K75Fr9DTziZKM8+cDlj2JNBErHc1IzW0pI4Wi3VWsRD6Z1Q7gtUoXgGrgdu1dbAYoaaiGGSO1hHUTXeq1ZT7xTcHXnx4j9H3GPEvDt1S84RAdr7QtRrmTppz1KEuMQV5bDAG9WqKUct/limYJ2IPAcvC62HsmHxypKWnuIXPrUnDphugMgV0cvk44ekHwka/WiRIPqhqEwhNuOGXRcLE6LVeWJGK1IH+1LMpa5iwFmqtNWMOceJa7DKuB5Eff2OX+R2ocPu9uvswoekLhGQbuP5kJ58nOcmmSlSJdVawrdvAeUHl6sLS6SGvzoDO/NnYIdAd2l7svtiMcMLoQeVl/jXbP31+W+1mc/LKlPlFBasxgq/Ci8hrojDfcuMJ7Xz/PR78ecHRW0+2njFRTwsA1os83U7wq1Opuf0694n1o3cWZQ/9bc/Yxrt5h2DTVpxIkjI/EjNS6aN3iUw8afvNTU/SzESZrw1HDQQ5wLx/FoEvNBoUJSpdK6Zdo7nIgWUiTNfnwtcAugpohiw/BPQB2WZ6oV2Pu1bp70KkzAHhCbFM+92CNF45WXLuPKHzfNu8kGg72WW0aK2VN/jwjyppU4apBlbn+tMY4cJcnYBlJZjRx3+P63T3e9doO/+bjPj2jwWgSIelmTuq5XHyeSRmIpbIxv9DiDskq1+eqfOMZp6ttDnxp7PDamXISwDGyyAPMVRvMDsDt3tewIlqMzLCkyqIzO+gTLYO9GL0sgLFGxv/yvhZROsPHvznNfCdkIoTJuqHqW0JfcO2OmPe+7fr/7aor9vyUXpw/O9rt9N7U7Up8z3LZ5iWqYZtj51MOnsn4429WeerQCK2ozoaGA3fVzwPKvCOmkCUD1lZlxnZfDzMiryJHivztJf4TVkmTQam/ZDDSavWePEquBvelgWQ+/k2X0oKloo5SCZ5OODIj+cS3qrj5Kx5Ip719yaC4Mwgyi/dHSYuXMimi/MVAlpQCKhiYrWwpD17IFFsAO+9hzFSuxTPN++/r8vmHqrxyzgMZY4UkEp7rrcQO8+ID89UwF14w+XAAaqG73Tm1RWIgDwaLIHIV0K0YaG+ZX0Oztr6Rg3pIVAKVuayXyvI8eyZIVb5pbCZIMoGXFoUuOQy2M8nYiObn3tvltded5mPfHOH8QpWDZ6qMeoorN0lMmtJsdt50/OTZUX3XtRfpdxfoLl9kbDThm/sNzxzRPH2wzoWVkFY/oOYpto5a6vkcbT+f6bdalohV4B6mAuWrMPbQUDVg7DX+FCFWA3s1ixdG/3wrPGWGsqXM4gW4V4HesbjKp+GqAbhTl/tWKZlK+dKjNV45OtTeQkg3okKsDiyLm3KVe3Dt12tUytre77UbrFpTKvrkbKYGurTIjyviRHPFroi3vqbD8U8ExJkbjJQJRV9IPOH0rshyy0BmSQbvxq55R0Mmt5ZhHjyPa2weYEoLylqscKw6ALoQziJrimvsfOkF8Id1jtJKnBu6shzsOoNUCdK8W8kB3u2KnSSCOO/ZjBKPRjXk3qt73Lq3xVyzyaMHfJ47EvDEwTrnnlbElQ5b1gfoh/dXmZnt8ejTDYRSXFyQLHc0WggaWrBu3BJqkzM2JUniGnm1Zk0lccjca3PZxTiI8t0txOplftX3yq1rimF3T3mrwEFwaQcZlMEmVLn+XpUGVEPGVirDkzm4pQO47yWcuKD4vz/XoC8duBHDyuUw9128t9X6+xJj1Xep1ZeliWNyO9Ddg4ZkU8oo5HMFMzXMi6eZR5Cl/O13dvjTh6ocn9GgklyqePSEWJ0Tz4E99MaUOmsG7O3Se9Zap8XzYo9zAw6zJkqCyMEtjDsfwuTAFk6+iJJXXJSAnq1ZpVeljwexW16FTqWzMCfS7TrnKTdSohfgezVCP2U0SHnbrYa7r4KZu1P6UcyGTYZqXaAn6wFEITsnq3QiSThu2FC3GOt6+obbYBegZtgKVmRI1oL6Em09BPWgu6fEfKschPLSjp6hHbPkfZYlF59a/Txg6rXg1tnqr6VB5VVLJ1sSWrHhd7/Y4PxcgBsR5yGkHKQGy7nuQQ68JEVeLff950rxsmQpGg9WdZ0P2Xy1FlcDv/jmqYiffHubX/uITzNxBQhrJJHQLqOSDQe6Db0pJSbPMygOzcPtG1UpT+/YW+R2V5fmkyL/vij0tx0Gn4UPxtiBfWEQY5USCMVKLQbVzyHLF7Gcy8pJ5+P31LBAp3NfOe78RLFipS1ZWE4hGGE0q6E3rYvxZJ9d2/oE3ijHz1lanZQ4sRQ7Exf5a11i6DKoh+Ae6rBV+y2uAbRYA+xhq9PqJb/cEFEGtgs0DcXosjLQdbERVQngSmVuUtMaFtc6HYBbqwQdJHz2/oDf+UyDyHhOngiFFDIvzbt5LX9eWb5gyoGb8D8RaA6chaWK5trijx2wePlQOcg9Qp3y0+/pcOS0zx98yWlxUGRC0iu1jUlxqSdlbVXT4oLN4msl82c73P9SSRefSsGgwOPAPDR7lVfs4jys3kH5u6/qqz3/Qx96MZNRSzVICQvhzlmUCJptyfHzGUK08Ef7dFODnlsKODeraXYTbro8y9OEgiQ1WGsHb67Yy3zo3S6DemgRLbekiTIQWP26MARdCur87i+BfpVcya2YxQeUq1h8uD9mAXAH3uEYsoE8ybc80TJDS1e1XFqGP/1WleWoALerXA619+r04OqqZWnD1EtALS5BdbnZYZD/ptT9bi4NNod63LG4yhRGuoBzxM945+u6fP47VRbbyoHcyKFUgXzbkWElswzyYmgTq+SJGKQJbV7IscL9XAzShHYA9lXX3ZTcjKuehyRQHq2x6kYomdbKNunVNg87COZd84Og1TGcmU3Zt8uyeUrgV0Bb61IrgfK5MO+2pauGCmNlCYhl4IpLACnWvn61JZvCD7Hm9wbgz0EN+eiBkjwpAXutPJFliTJg7mJo5JoMymDWXqHDCwZP8Kop93875KkDFTeSWboJtlLIAXPrSz6vveQcvPrnHmJ8Ve57jR5nVYDJMKMyALxcZcIq5EqaabRJufXqmLfc0uWj93vOlIMbWJoITZ8cMJQLP0OQW4fcwQ2nBgGnyDV5aUW1uYHKFkAWg+sncn93caMPz03RWV+sanZgJy6TQ3nlk/nJG5Agq1l/MDG6NClgw4SkH1XpxYqgatG1MCOpWpY6kuMzho2ThtCXeHqoh17tgg2cX/kHKVfLVndND5+HH2A47ai4CxElw1KZvUtL3uoNXxkCPGfu4YixIbjVqqOcDnTsraQb/H78jOQj99e52PbdftfCFXa0KPVcvhpzX3Ih19R21pD3qp+VmLOswVdtqVhuKzOufJ9Jx96ZzIYsnnqsq2V86C1tHj0QcHxWgZ+AURgh6SMpdlGgdH1ejckHq4tkmCLMXYOyAHqhvfPrKYULJIsbvwi2yzslu72KyphhdUxQzkIVv88QxJcSZ8Hurqk89CW3XgXnF1JaXfBDiY4Tx9qZSDi/mLF5SlMNoRI6x52Ww7vvkvRWUT6wDJe4Veae0oUdvPnV8+pWg2TNVoGyzJKre/+G4B6yuC6moJbAvVp3m1LOO8+a+AlRZviPn2rwyHMV19uWs7eQRWqQwZYk8pL3VQZ76YKsCTRXaW6+C3sPJEopo2JLQ4EGNtqitK3IrEHmAyzTVHP3DQk/9b4Wv/wfPaI0T9obQSZ8+saNBCre86vr8DKrlzW4kymFs1DaUpwkXO57tUwbds0PATtAzKAksHasmyidl7XpzDL+Cuwo6ebfVAI3233DZMLMYoS1hsADfXpR0GpCqwk71mvGGjA5mlENMzxtB6xaLGNlW6eFgVegPFjzVYZ8XkJjg88+YPghew928BoseSWZUvJfX8rg5f0yzSpAu3nXw2cp86JOkPLgMx6ff7hKFHlQuZS9V/usL5Vn5caGwecZfFQx+Hot3svTvsrALg/MHGy1WNbieUZFDYLPYUalUk155909Hnikxzee1g6h5PlxFJFwOfUSjC9hb/L3Ug4wiw4fmQd1JpcJZtW5sKsIS+QXeO1q9t1H4w//77vtnDwghAHAXYavH7r3fvqCz2jdZ/vGmOnJLnrbFCwrj3RTjQ2TgonRmHrF7XcpVX4/D/Rg3iuY5dthFI63UkBSAL+sMddezOLDD7x1pWVdrGHx1ew9zD2vYu8Bc9uhPJG55pZu52OlyyB37O15KStty/3fqXD4QuCS/PnOEUIUs8jzfLtYI1FK0m24yxkl5+ClN/GlV5NhcYeyRMkrm0as0uEDPV5UNzOFlAZpJNIopNEkkWbv+oS33NnlqVcCmrEELwEjsATEQpVutrLLscSYtui+GTK3LExXJZliCj2MA/raDqZVMnbNX1nFg2squwzAbFePlzPFuLnhpsHgrk/gZay0Dc22YrQW0hivEmUV9A17+nRabTbVFmjUBeONlMGMOdwHyIwiTSRxmm9Dl6rBjl0F2LMS05Q9vWVmH+xy+92IvaTPhnJlGFyW96ZfDe7VLF6AXKryDgVmCG7pct7GZvzRlyv8zufq2DxjUrC3FG57u7LnexVTUWLtAUNbij0xVxmu/jxwlxhzePnXaOFSwGmLiqYxWClWpQ2NyUgzjVIZP/2OLsdmPH7n84oklXnQKbFCEJNvPWhtPqdzjQ4vbjLp4ClxN3iezXSleFHIFDtg8VUSbQ2YV33sVU6BtZ/T/V5WTNvKnF8lySAxgiiDKBWkmfsdm8dzSloUhslGgicTkkrG+nWgT16wXJzLeOjxLrW6Yv10SrdnMYmhWjG8+faIQEkaDY2nNL0opB95xLEmyRRpqkhNqdpmSoyOWHWByjnfVXfwKpAXQCmz+avJFDMIOJUqdiAYMvgA1HoYTBY5b6USPC/l2EXJ5x+q0Wm7PstCe1PyfA8aCNbaCV4lSyLWUvV3wXfx2dde8LU58OFO0MNzuqqlzZqhtTQv/kijiZOMei3iHfd2+ep3Khy7kHeHWAFGYtD0kWDX+tRz0SJKmrwo20uXgZG4z25zz8mqwG/gd/kun3ft5yx9ryhoue0VcxOWgSSDOBN0U0E7FnQSQ+hFjPgJjSDhvts61ENDlrrJV1umnFVjZDymWsvQL55o0FyJ6XQ2c+iU5vB5w1LPkMQZeAmf+k4PTybcdU2Hd93Z5rL1PUK/Qq8fECUeSeq2n3CmmOICDPeEcUYisaoEzatImUvu+pI8cdo8n4I0kCrmz5EoDtw6f5arct/ObxIlhgeerPGt50MI1aAkj5BIAb6gNC12eIOVL+hAg5eYagh48V3BverCl3VmCfhF2m6QMjRDsA/0uJFYKUvpQ8fiRmrSfsbrro153a1dzn5FE2UC8mw4CIwQRLntdQjBfOXINYfKX1tTeFAEJq8HDDcAXqu5V5+PVT6b0tdmzY1cnlteADzOIMoE7VTQigyKLpdvbPHOu5q85uoULRTX7QatFP0oZLlV4eiZEY6egWsu81m/3qKzYGplfGL5q7dezV+rHbPY1NDqQz/V9BOPk6drdBLLE4cS/vSRJh987QLvuqfF5smEZrdCnHikqSbNhnlZm+8BY03xxuUqjW7skNkLw/+rMbnbxnn1rLviee2c6uKQgzx3KS0oy+BOUEHKw08H/PqHR8iM53rrRMHe0m2RUmpJG+6YVhqRNgD6agvCpY0O/5mPtRXMVYzuhiG7rhgnB2VpaP7gEAWLG5JM4yvDL/54i8PnPB5+SmGCxEXuuc7IUPQv6fUpEOpchm50RC5RrDsPdnA9nL1crgF3+eZdy9gF0RVgLhi7AHhmhNvW2wh6maCTQqefsXPdEu+7d4Efujdh23RInIzSiwPOzfrEsSJONa2uzyunJIfOWm65XX31iutGV9Rb75nseGb++Ll58VMHjiUoKWiE0AhhpGKZrFnGK5aK1lxYrPLAMyGbptvccXVvkNAfFl5c5qLYsEirQisX+7vkKb5yyk+W9PXaIk45372mJK/UcFuNsu4ePq/JeasMLROUTji7JPj1j4zw6PM1F1gqL7fEunknoXKk7hUzXuTqIUbDkc1r/RN5dbfszVHDqu9ql2VhQXg1W3C5wMWqAHvtBNfhlN7hCONC0mEtkxMZgbY8dcBjpSeHegoAiUHmk1IGu92X19HB64GkEuW4QZTMYmsyHmYIWAfa4nCywx2COLfGxpkgSiX9TNDLJO1M0k4F/SRFZi3+xpvm+ScfSvDUODNzE1yYH2F2scZSK2SlHdDpeYBgvNHFSp/nX+5+6NsPnTqszywZgkBwet7Q7Bi2TXtUQ4mUbn50nFr6sWG067YNPHShyuceGuVNt3W4ckvftTdlGWmmcjunWrV774BdVnWmFAFTSWdSOnvfNdg0A6kiBzdO8ZwNcuCFTHGVy9wpmGvwzDd85IsjfOHBGrYsTaSGInOS34Sr552sLc2vZuqh57u0ZA+Y/lWEaYndVjNeqRkZVssSeWlWZdgBJAYsboyzzEqpyXqGd97b4+UTHr/xex5xkLo3VkSG1u2Z2S8BuWBwEFjhtLgSIpcrw7y3FO7XhtsXllajS2QILlazRQDpNHZqBanFAd8KEguJgdRYjMkg6rNve4t33xUR9cc4PTPO/HKVZkfT60viJLcvSEutYti6HjZN95Beiq8temlFI/K1ZtcmwYZJj2qQd1FbN7WzHxs6XdeFfrEV008NvT5oneBrSSYztCrAPSwnl03qzhgkUPlzOSgtD4McSpTh0HSxiqFyQOfPjtkzylvdDfZ1VBlKFPIkQeqMbz0d8OEv1+hn+dZrYhhYSiEGRZ0yuFcFUmv0d9lbUU4RXiK51mD7kqJZAe4c2YOUYQGUgh1NkcIrb8dnc3CbHOASIxVZ5nZ8CD3Dj/8/7b13uCRXde7927ty5z75TI6a0SgLSUigABIYE0zG2Nf2dcCRe7ExvrbBYIPBJtgXGxywwSBsnAgyFiAQQgEhhLIGhVGY0WhyDid3qrD398euqq4+MwMiWeD77edp9enTo9Pd1W+tWnutd73vC1vc9ZDHzQ8Is4nMUIoA6RBrSbdQUdEiy8eNcZUWpBvMrFFkfjdQ5hWFfLuQdihtIncG6kgJIgVhAdSxoiAnoUAnoGJIQsqewnE0Mws2B46W2X/EZaEj6PQ0UWSYr1IIAl/S6VWoVDSTTVPEt89cbtxxlTKc52rZpBZCGPuIXiTo9iS90GJyLOaSc49xxTOOc+YqTRwLI2tGnJYHs+hspVMopsOW3ceJJE5M3TZRluE3i0JbejGTugByOZCDZxWUon/jILitLKqnpUHbTmj1BH96dY2dB1x0nnen7smi78GZy7EVKzcDVZ1C+1icCP5iXf/kEB/8fVYiXLzhVCe07ovybmlwkIXoLQtgV5YBvLKIQ5vVkxFv+6VZ7vo9h4Wu7EfxvCzpEAuRR/J0fN6API3eUpmrWoZmvajtXjxZs/evUvDGShApQaigowQ9lYJaJWiVmQWn92SPNdiKB3eW+N8fcHj2mQGehlY7oRcpuqEiDDWxMni1LcGeg5Khho/n2SitsNevriOlTbszS7t9mDWTEUM1oxUXRTatrsdcy9i7BV7MsnFYMupjSw1E2E5EIrO4lI74azOEp1PpX7MJtZGxjdGhsxAxJGiEkHl9NyPdZ+DO7gecvAbSk9S3cXHkln22oAF3TKQ0f/sfFR7Y6qFzUPdvxeidAdvKotbiCF5MS04C2PxyLU58bvHql8QLOiUDKUwR5INErL4ybSFdKVJrRXqTEq0k526IeP2rFvjApyRhkn5AnW46tUBjDaQrSI1WGdizg2BKgarQ4BJpPdy878ImMk1HohTcnUTQVkawXqkYkhipQtwkTsGdAdy8fiwFibRoK4/7djY5MmOxbijGd2N6Ecx2BPM9TZwaNQzXE5aNxpTqVVy7QZLE2MvW/wTNepmbvvEw7/6nfZy3KWHT6oQwFIS9HhuXzfPMjT6tTgnLMvYeYWzjOgLshK9+0+bOh320kP0UTCkkmuddFHLOmhDPNaKKUnrIqBCns2FYJU1XjH5OWrS6EOIk0Vsujt59u2lrIPdOsIKEm+/x+Ph/VJjrFMhUhdJglnv305Oi50wh/+ZUKUp2xVlcC1+cnPQfD3R3s4rSKaooOchZlIcriRbaaJUomTZespTFRPFEaUSiqfoRr3tli82PuNx0t4RAAHH/bEwbO7EWebqis0guTMkw44rLtE6eU2ULm004EdztRLCQQJwk6LiHiHsEVpez13d4/kUdBEnqtNKvxd+5xefW+yrEroe0LcJIcmw+wbZgpqe58MwZ1i8P6fUEYaQ5a3XI6UuhNvFiqsPnE0cL2MN1m3rNYcWYxbKmy70P1XjwURPBoiih2YxpVnusGlOpMI6RNZNOxE33evz2Xw2xc3dgpl+ynZVWaBI+9qUer71ynpdf1ub89R2k7BN68qgtTacsc9jIv/7cqQuMXXQ/By9G7uIG09TG+1FcyhjpxGzdZfN3n6nw5FRKIxXFpo6pe2fuyZbQBcuVRWAuRPIBekExOOeF8MKJ+i0idwbqgd8VG2QU83Cx6ATo81VkCnYpVT+KS5MKCqVNuhIr1jRjfuM1C+w+bLN9v0A7Io/gWZlEK4tY9kGOTL8ZlYG8f8WRhdM2C1DZ+020INHQU9BRKbijLo5qcf7GeV55aYufvLLLkjFTSia/eiuEpdixp8vv/JXmK/c5JHZCV0m6scBVsHqp4tdepBirefQiGyEEnpPwyA5N2/Vwqi69nos9tSDpKotYadZMhtRLPpNNG8uChbZEWj4HD1cZqbQZboQEXoTv9bjpPps3/e0IT+yvQdlFSBspsnzObBb2TMf8+aeqfPrWBf7sN47x0md1cVNRdyksMlVR0s6l2bVk3bBBz8U+H7wAbLEY5Cmo03vHizk8J/jTj1X53K1ltBkgNWlJnqZILMGAmE+xYpKnJyekKYPTOgMVlfznk+QpJ2vfDqQqiwCfd37SzZ4UJ83Ji+lJMYrLqORnvwAAUNFJREFUbNMpLOLEDFy//PIOc13J7/9lkyMzEvwsHyejGaK1RYzJlUUR5Lq4UxJkO6eBarruV1CUNpWSSGl0EuIkLV526RR/9hvzLB2xiKISC/N2biVoAorCsmLWToT83/89x//5kOSG+z06lk3sCYaDhNUNh8e2L2WbBfNtE5wmR0N2Hmpx8SrFxHDCwkKCHSoLX3qH57v2jcuXTDz/wg3z1Osxh44L9h3yqVdtaqUEhMZ3Y0p+h6/cq3nLR0d44sAQVsnHtaURgxf9hm+iLSLHIVQee457vPnvbQL3ID92UUgv9POjsbhykq0BU9F8g1mI3EIN+qcP5OBmUxmi+eKdJW65r4QWlrnKpFwThAUpdTSTH+4zBotWIMX0oxC1C6Avsov6V6BTVFTEIMbzikoByKRlwn7HtzBSlv1OiXTz18/DRRbFhTIpizDAFml1RQibJFZYtuJ5F3R58bPa/OuXJWGM8frQpMk1qQGERYQwdOg8FzdByJL9zym1PtnHzI+Red8auiEvuHiG9/5qi7F6iek5nyi2UUnfPcT0VQzAo9hl9USH9/7aHNZHbb58n0sr9NBaMN/W7NgPjZpgz9EeR6YSKr7N2RtGqFf0jZWydTiJNdaHP/RXvOEXN82uHItmfa/z01Ozu9l9JOHJvRLf8Vk2JpgY6TE+1GKkMcutD/Z468eGeWzvKEE5oO4JGo6m5moqjhHiLDuasq0p2eBZEmHbHJ3xODybcNV5HTzboxe6pnaedjkHDk4hNchTk2LOnacpScpDybqUJorbVkwiEr5we8C7PlJj12FvMO+2+qVBW2KMVUXfHju3yS7exODjXE5OFOcHCwq4xcFr6ySD2FmT52S3vOlVrMEXB7EXeVNS2CvIfirX5/MUOPhpA6hZTdi4NmLfEYvte1KALd5BCwFZI0iYiZrFpKrFNf/id5jV1WMNvQgma/O863XTnL4qYHquRqsT0O16dEOPbugQRi5hbKf0j/QW2ywd1Zy9vsXuw4Kt+0q4loVvKxwLmjXJiiVdXHeBY3MtKvWVHF8YetMd9++458ornms8evYc6lEuabY8GXPLnSXKXpmRmsuKCcGS0R4TwwuMNGf42kM93vbxYbYdGKZZc6m7Bsiunckp9CdFstwwTqCeCI4Jm62763zz8TaXnWWnLX65CODmy8kyPCEWpSkia9Mn9H3Ss1q3Qoo0ersJ+45ZfPw/y2zb4UFZnlA1AZlH7/6sZTH3PlGObeD7Z/DLHeBgFL74b7UGIvfJnizc8kie5+InpieyUEKUQqYT+hKhLZTW5l4pEqERoWbDmphfeMUC9z3isPuo6F+JJAO0QY0kTM3ahBIp09RM1gvIFbEoHCdzPvWHHlpactaGmPXLHY5P15ltBYSRbXQXdV+5ypykRsvGdeKc77RmfIE/fd1x3nq14PYHx3BsiSVjXEdQ8nzOWG5z+rJ5ZBAjvC7ogglVY+SZeL7P6uVVnjUzw1hTM9qMGG70GBtaoFqe4a7HI972TyM8ebDJRM2m4RkRIM/pC93ng6OFy5LZTWuqrmQ+9jkyO8TcgtG2KJYEswOTzf4ZcJwE5FKlhKusWqIKubeJ4tPzkr/6tyq3PehDkG4qs5q3zFIUk3tnhCrrhPQkvVyeJCXJ8+9FgP++LH0CthdN/ww2gLIKnswGIZRIS6/GRl1kKQvSbN6E2XQmQiHamivO6fGGn1ngT66WzLSznKIPbvPiNgpJpFO6Vlo5Ubp/LmQHYSBApL/2bE0SC0YqPgutIdqdOp2ebWTZBjrZKWNRGk1Jx3ZwHYde6BDFDitH53nnz0/zB1dr7nhkmJmOy7H5hN1HJMM1i5FanedftYGzzzqTTqfbB/jqFZM0h0dv2vbYze8bn4h+33Nm6eqQYws95qMun7w14PZHxjg2XWbVkKDuJ5RcjeeAm2qlZCqwA0UEndk0m8t3tVrC0R57D0eFtno/x7akQls6LUMVqhWFzaWpqGSgThBpBJcp96QrNB++tsLHrqmwkKS6cvmGsg/uPPdOxXwGcu7F1ZNivs3JoznFz12M8t8K+XoxeE+djxc7nQMt/CIPP33BbAJfiHTDqWXK/ZYm+moLoRRJrKm4Mb/yqgWOTEn++l9rdFRaOpSiAHTTGEq0IExPpkzdqj+qmAYE0RdF6qd2mkaQILpVbv+mQ6NqmVSr/xH7x0z0+UiOrfEcG69nQN4NHcbrLd77S23ueKzNp26t4dgeiW1zLJR4sceuffvf98IXv+qm/QeO9AE+NDLGL/zWO9tSyl0LCyX2H0k4NBPRDssIaRHFLhVbsrahqPiKwBX4jsBN5dts2xCJil989kUJYTRUfFcyVLdJYpvjs5JSEOM5Se6PgwRRuMzqk6Ypql9JEYPVE0smaFvx2HaXT95UYj5OVfgzUEsrvcaamJxHb9lv5pw0PUmvMBTAPQDigceF2uG3WIufPnmGMtj4yvW888ChBzedGLe0LHL3BeYLYNcmept/bSpYcaSpeDE/9bw2N97t8eATwhRU8rKdyHkrGosIsLW5WbofvftVJgNuOxXucS1jilDywJY2+464dHoS30ttAQcA3j/uxoZG4ToWnqPo9GzaXYd216VWDnjRBR2ef14Ly5qj0wvYc6hKlJSp147u+uoX39q+8iXv7gMc4Ld/+aV4ns/m+7/Bl2+6j6TrM4cBQKmiKbmJAbYrjeusI3BtkatcZapF2RvtN2zAsiS+J/Fc45jbDSWWZeV1bgBhGz5BnrZQHFczgM4juUgK9ynAHcXDOx1e/74GW7Z76IHIXbwNRm+LflqSATpPS1j0u2IEXwTygcfp74q17pyK923WQFWlEN3JZR1SVSldjOImFRSafoDQDERxqXSapsj02BbAHmrOWhfxod+f5VfeLdjypDCE+JxRJQ3gEWhhUhVHCxQ6D0Z59C1soDMzBDcNhpaEXpgw1zIe87Y9+MGzpCbbTNupQ7XraHzXwvdsFtoOcy2Pkmdk26SlaLVdduyB4clNnHP65fS6XWARwGv1JuVSiYXQpxVCOYDAUfiuEdp0HQNQz5F4rkyjdyYv0der0BjGWaL6l1xLClzHBFToS+PGiUwvZ6JPKCpsVsgrAMVWfbbBTEuCIsZ2Eha04O+vLfPgYx6JVUhJZDE1MU6i/dy7WPMuylScJDVZFJyz1CsvBp4keJ9QkEDnadupona/bdJnFPaBn7XzxUAubk4C8+rF5o+guAk1aUpWJxfpptOkLhorVpy7scevv6zFmz/gsBCnBynnq8g8bYkRKcgxHc5CMOunKUVbmf50fpxoeqGRhbbSObjc7UH3j5fRo0wFXm2DOc/R+J6F79r4rsJzEgIvIVYK3+2ydMKlVh8m9Fv5Mc0BvmpCguM8ecYaueOBSbVmaj6iUXWoBgbcbg5yae4zdVmnn3ORftgkMUpDcdyf/Mg+ZP5vVF8H2i7kkn3Lu36Jq88iTBiog8sYx01oJ/Dxz5W55pYyPbkY1EVwi7SpUxxoKGwqi+kJ/ZMsB+si8A98q08tQH/LyJ2Haz0Y/YsMPdLuZv6czvg/RVJWmp4oM7kjclAbkGtlXOsHLxUaV8S8+so2j++x+fi1FVpReqnTEnScXkUkWljEmE6l0sU3Wdy79PPwfPIpLThEsWkEihQfcayIYpUGRZ1G8dSO3Ramz5JeBXxX4roSz9a4jk2tklAO5uhJwcG58o7xufKT3a7Kj2sOcOEu56H7r71xqF77twtOG3sb7aO4jpuWY4zwpusIPBc8V+M7hsLopCZPprxnLothJGh3Je1u2kQgs7goSlAM5o+LV7+xUmz4qEL0NvOVCyF8/Etl3n11jaMzTj/vlifm30JwIh2WPrgXpybF6NtPQ57aKNr3hvJTP5VH8kzXGyPWKbPfDfBXBsuIIs/FM/IUCGWlOblNnGjGhxLe+kvzoAX/+MUKC5HAIDGN4sICLfM2vCKTnFv8/RVvWQ5ParClSITpFEWxotNL6HYVYdyP4gbgRp7bsYUBtWNujmuUjS1LMDUn0Non9icZc4b/7ZsPfv3Gn3rZC04EOMDUgovn+ddHsf8TZ693z3FsmG2ZyXnbAs9VBJ4icBVeejNC8v0UQghBFFscn/XYd0Qa1dFFiChyKbLHpGBG9BsUGbHKtG4LqYlIkFaM5Ss+/+US7/lYlcMZuGWBRCX7NW+RArs4jjaQey+u4YrB930y7A226r9z2OuTPMjTkAzMJ7ywmYbP/kG/41ncbJp7RdrdTMuFWqYpCqa+KJREZfl4WneMejDRiHnr6+aYmpf82/WVfh6npeFoI1DCJtTg6j5ffaAaMviWTzg6WcBIEjg+q5maN/TZvBYudOqxajapnpuk+z8TwW1LEMeauZbC813O3uQ+uGaJd32nM3jABgD+nCtexIf/9o/u0Ij7J0ba5xw4buHYdUqeqXeXgoRyEFP2YwI/olaOCNwo7SCaEl4UKw5OCe7dOsTxqYY549INRlHBaeB7Hdi8FSonshC1RYECa8U4XsKT+23+5UtlDh31IMjAXSwJ2mQCdgMbS8lAWpIPNtM/wAOPs7e46AQY+DJPhu+niHmtn9rzxWyg38JfPAFEYYO5aFBZmAlioc2XIbLNgBp8PdGDieGYn3lhi7secthxQBi+Sk6tlWgtibUk0gI3k3wuVnoKH3/xsc1MfB1b0qhqglKLXQ9r9k0FxFFKoZBmHqXsQKNkLHNKXkLZVwReuge0NJ7XYbrl02l37r/hhpvu+IM3v/3UAAeYjleBkBzd2caiw3gzQWtJtRzTrPVoVLsM1drUKy227FQcnU1nMW1FN4Ib7yvx4I4arrJYORQy2nQoCxvH6ken/gfXi5op2UYvbccXat4Zt9uSMY4bs+OgzR/9XZ1bNweLpuIHB4iLVZOcDsugiE+2MSqWBwe+pcV178XgLpyuQki+t3VytC+WdyuE/OyV87TlBI3DdNyNNHqrQv/xZK8foxEdzXPO6/HO35jlD/9OsPMwRgUJYQKIMvLMkYJYGEMpVYjm+mSBrABw15aUA8HEsOCSCcWLLz/GQ7s0N97n041kKs8tOTbj8uiOMtXAYrQsGClrGhVFXVpEiWCk4bJpnc+lF42hEnXCpzkB4C/6sauQ0grvvXOaYe8eHto2zGgjoFkNmRiepxzMcMuDCfds87j7sTJHjrl59zJBsBC6VG2L1UOaOFGEUYKXWIbroAtgSYEjF20kRT4tr9Kfi0MMRo1q9zHJ2z9c45qby4TCMXqCRX63dE4C7sHcOwc1/fcysL6LRPtkJ8D3Du1v8Q+zLkm6ySRl++mM1ZmBvDg1lVZUTDJsnfIlYsCzY15zVYdEC/7wQw32HEsPpDLHVitJlJYNXZVOyaezvP1ppGzj2D8oWW/Ec1OzYMtn+WiVDUsXeOkzWxnTHCE0B44J7nnc5u5tPrdsHqITuyA0Q1XBxLDim9s7bNq4hnPOf2EYx8kJn+MEgC+dGKZcLf9ePDd0+ueub1zRajmcvjpkydgMxxdmeMs/lrjjkSaucKm6gqZvcqd2KCARjPqa4ZKi6pszNWvZ9+vbg+WkIltwYFrH6ksd52mJE7P3mODNf1vns7dUCKWTTsSfOMBQBLcrTfTOp3QGcu/iZnYwPSlSQZ8y+P4LVvZ+ihtPGIya/W5ncVDC8K6lMq1740dSAPlA/VKgY4EDvPZ5bWwJb/mbJnuOp5EirUzFShJKgadTPZOClsvg0HH/2l1MA5MEFtoOR6Yq1CsWvheTJJJOzyVJBI0g4WWXdHnlpW3ufNY+3v+pEfZMVaiVFCsnJVddVCVoLP+aV17xe1bUOuFYnQDw4WaFL3zppnn00m1lf/TSs1Yds5YvmeHaO7t8/s5h9h2qsbIuGCppKgH4riCKYc8xzWxbU3Kg5BoHNjtzV8tGmwozjnmLPmfPDUpMWLIv/WBZMbYdcXgG3vp3NT57c4XQcgqswCK4rX7OLU1JMBOvt0XajqeQgzOYfjzdwP1u/2GethRBLXRKo+2bRmWtd6kUGokSOv//85mH9GSwAGLTtXzVVW1iJfj9v2lyaEaCCEFYaGERKkkoTRRPUqAr1ZeO6AN9cK+gNOncr0W7Z2PbLkoLZhc89hyqEMUWgZdQKcU0ql0uWLPA+35lms/d1eGr9zaJH3N49rlDyRmrh7c9uPmW+XOfcdW3BzhgzqDO7OtjK75wy/6Fc+/dqfjkTWNUHIczJ6FZEdQrDrWypFaRNKsh129us2+rRz3IzKpMeSfzy+z7yS/S+k41BLOobRfGzzLfSscOwU346HVVrrmxSmj3dUxMOtLfXGbVkiwlsQvgXpx351E7Bc3AhvIprsE8syBo9LQskV/ezRsRad9B5MQohcxZUkYCosBtkQIzF1mU8RA5UF7zvDbbdtm87x8tYtEHeSwceso4QDuJ8cNMlE4Vqkzt2wxJG9vuJDG3OBGEsaAXmqH22LMo1Vs8sltz831VGmUMzioOjarHUC1gyUiJX3/hPI1ghoWuz/h46eFud/b1lXLjpEfkpAB/+U9cyR+//x+TOFmnb72rTaet2DCqaFYFzapNo2rRqEqGaorxoR5rlh3jgX0R0WPjOJYBd7/TKQsgLwj45H46Rf9K1RfpSWcqbTvCcmJuuMvnUzdV6VnGm92A2h1kB8oiuAcndCxOZjvyXURucWK6MlgiG8w3n9Kf/E7fxFOoumTROGPqiUKKoACyKotQSEMESkGezV1mDSOZ5+42Ea+9qsV9jzt85e5UfkJI482pbFwhcZXCUdrIRCiRgztJu9vmsSJRkigWhJl7WmQRxsZgat/0ArdsqbJhzGasIWikmJuu+UzPOQzXy/z4+RFhrFl92mlaytlkxcZXPnWAA/zmL72CKAoZdg/y0CP7sC2f4YbNUF3SrClG6j0mR9osHZvmmzs6PLhjlKEAAtekLZ5rOp8G5KQNoYJ/fOank0kdZx7xtpmCt+0I1+3heiFfvNPn9/6myWO7A/DcQuR2zOU29Q5yRH/0TKbVktzzBwYALr8FSvId/8kgu5jD+q0w922AKE7y4FT73eJGWIvB9wanPqXySqAWhc+ctu6FRkiZ6p6YTb4Bs0lhpJX0KzFpQrdpVchf/OYsv/s38KU70ggvJHEiaAsLRwnsRGNL43eZSHJz1zgxP0eJJooVUSwJI+iGRpqk27OYWShx7uppViyZ4b7tTZY3LZY0Q4Zrkuk5m+m6xVzLwrFttNNsrTz7qk/ZXnDKY3zKbfQfvv09IGTUWjjwnH379vqToyVWTGiWjYWsW7bAivEpOvEMX7xP8w9fHOLgwSpLG5p6CSqBpORbBJ5F4EkCD3xXE7gazzENIt9N8ByF6ya4Tty/2RGOHeK5PTw/5At3eLzlQ00e3VMGzzNR2/Ix9n4WjhR4EnypzWRONpGT1rsXq1MZoBe8dehH8xMHjUXh535Xrmi0NWDElU3ryMEJHrHo8WJr8lNN8ww8LwqPi9z1/L1oBoc0it6YxZNAFKi3on+vRT58UhyoyE85DRqJVoLx4ZhzN/TYe1iwbZedH2CFGf61M5qsKEw+ZVNP+edYbDlp/q1GsmwEzlq9gG232XkM9hxzmG8LVJzQDU30FyLmtI2bDs0vHP25c8+5KDoVjk8ZwSslwWNbt//7kqWb3n7e6Q/Vl43M0qxFjDTmOTzb5ZNft7ntoRrb9lQoS5s1I5p6GaqBpORLAs9KGYSGDeY6xjPesbN7lXrE973iHdvYaHtuD9ftcd0dLn/wd0M8sqtsIrflpmmJhSUFnkj9cxbl2P0KzeL8Wi+qkpzYrSxU2/oRcyAY9y/1evGTp4rqBT73wOTPiQF8oO5+sg5g/k8GKLz6xL8DeQ4OaXkw64LmvzYbUiEMaQrSzajSSCmRWhmJZpnJxqXTV13B6St6vPs3ZtHAF+803QwtLDqJiyskjlD5lJeVYKJ6nII/Sv1MpSpYUJqZUQ0kSZ3xpsMbXj7P8y+Y5msPz3PDvVXu2lVmrCpoHAo597QKL199Js16jW+17G/15JKJZb3tO7b9+ky85DO7H91dvvy8GW67O+Da2xrsP1zCwWFFDZoVTcUXJlr7Et+1CHwrTVVMF9S1dQp0o63iOArHyYDdB7frdnHdHtff7fDmDzV5dHcZPB9sk5pIaeFKU/rz0mGFonelLHz5pwJR8fcny5gHctgCiE8YSFiEZr3ob4jFL5zVd09xvEWBSZj/b4uuMkVPm5NSC4qNqkUvpDMKZGGCxvy57HiZafyMXmts2JVRzJIy5ZvLPLqfvqLL+14/i9KC6+8yL5wgaAnHmASnQqUG2P2xRlNwUFiWubqJlKOvlEUUCzo9i/m2Q6NaYvVom7XPb/G882b4z2/Ms2WnzSWbJM88e3nLtuSvN4eW975rgLfax9SqlavurVcunbvmc3eW3/SRUWZna1QtyeqmYKgqKPuGCOOm1FnHkbi2wPMEgavxHW1A7qoU3AmunaYldpaahHhOiO/2cJ0eN9zr8Lt/M8RjeyoG3JaHsMxB89N0xEk1TMzQQj8yD0j5Fpp9A3vAk4E5a32LPohz4pJYFI3pR/t+u7zw94qve5IkuVBqPnm+zaKInP+7PhAHaQ1ZPT/Xei1eYwZW5qk08Gya1GdXBlEAuVUEubKwdZzrkWsEG5b3+PP/NYvWcOO9kAhJKATzwsYS0hj2Cl2ooImCcrDpqRqrEkkUSTo9yVxL4DoWR6ZdKoHPUK3CeLPNG1+2wFRrjuu+UWX9pufOLV228t7p2cMnti+fKsAnJ8YA59jRI71X2+Xn3Hrw4EPO+jGL5SNmOqdWtgg8cqHOjENgW+DaOuXvGnB7jvFR8dwEL8u33QjPiXCd0Gwo3Q63PmDxpr8eZuveCvgBWB7SsvCkIJAaL3NeyCfaF9FdC2Aq6lNnokl50y/9fTYHquk/l5WLRc7K0ycAu3iC9E+k77yCsgjZBeAXXegKJLTs+UVT88Ci/Ls/Sd9/r5npQEELctGVJ/t/siZcIhVSSiypUKmokK36UVwpyWnLuvzFG2Z5wwcEt35TkAhBV5SYF9KAXCqsGPqjiSJXSgDTBEqUJgzNniI7rpYE37OolQNGpl1WTHiMD2l+4qpnRVEYvdoP6sd6SflbHtZvCXAhXA4f2stpa87Yf94Ra8czTtu9YTTosGapx/iwplGN8N2EMJLMLjh0etKUWKWplniOAbfvKAPsFNyea7wpPcfk24HXxfM73LzZ5o0fHGHbvir4JnI7lkVgQUlq3Cxyy+IGUg9E7WLXsdhUEMqMYi1WkcpAniM8Sw/0IsBDOkUzSGrK/laRCPUdY7tYgy+epAVRJFmIsCdujotszr4zXjE3HwC5Jhfa6b/v4mZU5zQKKY0VeJI13woGtMqWeV6+dkmXv3njDL/5Qc0t9xuueJsgjeKpeUB2L4ucH4XWIlfC1VrTCQ1LMIzBdyT1imRsyKbV8VBMsmz9M3b4tTP279y5jzVrln/3AAdjD/Gpa7++u1Kt/cqrn7/htvbUZtYub1Eptdl1OOLYtMCxA6pBBZNHmU65ZWlc20Ru1zHTF3kEd2M814C7XOrgOh1u+abFGz84yrb9NbTvIy0Xz5KULE0gNa5ViNyZxJrspyXFzdsAqy6N3pnGXhGQxTxZZf+RqbHpAJgXc611IRno/8ETNpUnYxtRyJvhhIBfTJ9F4d/Coqgts/JnWgItWLvIgnBpDtnC65sUQ/TtwvXg8/l7GKBQSNOnSGvY9oAnk4nmqye6fPA35/jND8Atm0061BJ+CmyZvjcxIOifHRsDcDOO1+5qqrUuthvT6sCWvT61ozYHjmiWrrwQ2xK/MnP49t214XO/bfD4tgAfHl1Cp9PC90sHtz4qv/7EI9+8rJsc4Y5vWnzlLo+ZBZ/Tlvu88AKLwNV54dEA3FRMXCfBdZMU1BGea/LternN4bkedz3q8I6rR1JwB9iWQ2ALKlLjWzp1WiB3WshKaMXIlkW6XPwRI7Cf6Eymd7B2PPClanJQkEb7JPVgFwKESunQi6N38SQ4GdBPAu4TUMTiyL1Ij4Vi2tFPP/ozqkVZOz0QzfMrmjYMwqIRWGZQ0Lea6Z/8/ZOrn+NbUiETmTNHk0SSWJm5gSFeKS1Zs8SA/B1Xa+5+RLFnBuZLPhKBlYK8WL7N/r4qRId6WfL8iwUbV4fMtiOuuzvivsdsetYI9dH1X1+z4ZKDnU6XUunU9e+nDHCAICjz4APf2F4qlf9qJj7zss99ZY6pmSpL6w4XrRUsG5OM1GNKvmJ63iFJDGDyKO4m+E6M58X4aUpSr7TZcyTkff9S4rq7GxxdqKIDH9eyqdhQtlTfRsTqW4jYclH9l8EmSAYwpY29HakRllKQiIwjYVwFihvAdAwAK1WgyQ66SK9IWR4vC/l7fzOackAGyMBF5+BTr8XNnoHInVdFFqns5jX4QYJaX7tR90/Y9L2SqtCiZG5FmCQy9Vbqu7gVz8qB8TMpc1XfWGlsmfQBrgpA15I1kx0++NvzfOmeHu/7hOaJQw3mSn6aqshUUzJt+FmmLGmljaHpBQg8uPvhKvuP1FkyGnPVmR3WjrUYW76RoeHKX93/wD3bLzjvmU8Fuk8N4ABedQ1BpXrvxGR07RXPaL38+JG9NKoWy8cjlozNcGCqx/aDVRzhmml7KzG1Tlvh2iZ6B25I4PWoV1vsO9bjnR8v8x9fHaIrqsjAI7AtKrZRy8ojdyoqZBfz7rThMRj5+kVrTWogmn45WguSNHdR2lhkRPk8YV8yQqf+1EJqI6CDSQWEzhRc+0w5mbP0Bjee5mc9AOxvGcAL9e6T/67gwVPIuQdFSVWf15OKkvY3nyL//BoBiSFgJYkkilOAJ5nP6aL3WDi5+oQ4MygeWxLbMulKrCSxsnKgay1oliU//bwOnnOEd/yD5snDQ8wI31Bl02aQa2scZZpntiUo+ZJms8veYyG3bimx/IDNslGLkh+w8bT1nLdp07Wr1q28N+rOP1XYPnWAb1w7SWvu4O7nPeei37J6j1lT9SM/MVI/Ssw8/3mHxWM7fVxhc+ZqwVhD4Hsm13Jsk3P7XkTgd6lVWuw7FvKOj1X5j68N03Uq2J5L2RJUHE3J0mag1DZpiWPpfGA574CJQnpykgDZd2XWyNgALvOHCRMjxN5LZwol/XKj0qkedprJC2FALTUFYA+mJYvljPudopMdxZNH835lpF81kRSsC4v38mS3QQZmzqcvNHmEMmPtsTAAjBJBGFtEkUxZf4Puwfl5VjypZNEITOJYJlWxU4c9XfBlihOLUiB5+aUdUEd5+8c0O44OM4OHK4xYlBeDds1xdh3JSNPhrHUxjrvAlj1tbry3xOEnfdZMlJns1L8wuuyS39q6/eCejeuXff8BDlCuTbJ/5917zjjjnC13Luz7iRs37+DerWXaCz6jNYdlYw6WJYkSnZZ5NK6T4HsRJb9Lo7rAwZke7/hYlWtuHaFnV/A8h6oNFVvj2ym4LcNdcbPonbmZiVxkqQCGk4EmjbRKEKWa5L3Y5OILsWAhEcTpplGkdF5Xgi8K4E4J91L0I7dWhcpK9ljmL5nfD0R13f+bi9tKeQmQwr0gm7JLfy5uLBe7XBSNbxe5OudKYObvJolFKDRROnwSRhbdnmmsqJPk4IMgLwh7ij5ZLrYktq1wsnw+MdE8t5NUklIgecXlHTTH+MOPwO7jw0wLH9cC39Ek6YyCmbGE/YdLrJiwec4ZLc5f1+b2hxYolyc599wLttx+x717fvyqi74TyH5nAAcYGxvDLq1438zXH11zZKr12rrdYt0qh5WTgko5Yv8RjWs7ALi2wvciykGHwFvgvm0RH/lCg8/cNkrklqh4FjUbSrZKwU0ObidVXbMtcznr2/QVIvcpAd4HoaMEUigWejAbQrcTIVSMwiTXWlooaZNoI/quSNMUrfPNZWZbrVLRnZzQT99aJFOhyjebg+fbSasURaDnEbzw/GAZsKjfMqiVngHathJsuz8gkqntynS3HEUOWktm5ku0OzbtnkWciIHcW5/0/WVmvFmzJm212xonMRo3SaJyrZtEydzqPVaSUmLzikvb6Pg4f3ddwoM7R5nqBqaQ4JlX9FyLctDjiX2K/Uc9Vk02GK6XuXiTz5IVqz9VnjznfXFn33cK11OTrU613vXuD7LitIt6tj/5pao8eEXZi1ZMjkjO2zDPkfnjfPV+j5XjNiMNxXC9y0hjgUpphk/eqnj9X46xeccoOCWavqSRSi6XHI3vmDPad8Bz+pRb1xY42b0tcFOtDNs2k9VWdpOFWyY1YAs8R1DyLdphwpnrj/Ka5x7mGRtm2bUvIuzExHHWCJMkGAqoSVsKqRCLCFYDN3Hi44Ivplj0OJdatooc+cx3M43MVv+x8Ro1fQUTqXX/54xqbBtwO5kDhx3jOhGB1wPZ49hcwkc+73LT/RbtEDy7zP4jZbqhJEp9KjMxpr4o06KbEiRJVn1J3d0yt7yCR1Bu9Ju57WljQKaVzRmrE151xRzT8zEPb/eJcSi7UPFgqO7w7HNbPHFwni07bGxp0QltEpq3v/JFZ7+mN/vQwumbLvyOAf4dR3CA1/3MS7jl9nvbS0efF372c5/jtBXTHFmY58b7K0w2HUo+1MoRo80W1fIM//5VwR99YpJWWKPs29QcTWApvDRqZ9IAThrBbdvoXti2ieBWKuNVzL8RZhNY7Epm4VEITIMhPRlKvuScjXDxmZINKzW23eVVl7b415s8rrujwhMHyuAosH1C7LSkpXPAJkIjFbnbb3EUa+DGidyVU8fFYohczCkpajIuap/nagOGWy+tfvTOJp9cx7AxdxzUXHdHwD/f1ODxnTUs6bN+mebZpzkM1yDwDZXZSk+iIj9+cUPMHPKMGWj4JHYaxeNEEMeC2BG4iTLR25Gpq55FFBknYj90KAcub/+5BSQH+eTNkxya9akHinY34dDRKs89L+TgdIdD05LnXCSjZ1924SNHpqL2yg0/8d1A9TuP4Nn68z97P2MjQxt1d184s7Br6b/e5NueKnPGaoc1yxJWTs4SqmmuvVPy3k8uIYpqjJUlQ56m6mpKLgRp1PZcTOTOxIWcPp/cc4ySllE3kjiOxLGt/iCFlXbK8qEKE9ldV5rLnm/RqMLksKHxKmWBtlg6qnjhxR02re7w8HaLQ8cz/WcLJaQRnsnLcUUq7WDEzr50I4Y/SAHtM+VO7nSc3ecpWBrVbdnnzluWzoUoLZkOiVgax0rSQZH0PiWseU6E5/V4eCe88a+afOTzIxyaa+AGJUarNsOuwMJc5UTWJsoosrlRa+pKHAuiuHCfRvPBSL7YmFbm0TzR/TQljm2ixKEXubi2w8WburS6XfYft5ltu/iWRkqbpaMOF2xss+u4x/LlFz82NR2/dNXyiv6z9//jd4XT7yqCA4yN1AD+4I1v+7NKr7dua8M+tOT8DTanrYzZsHKaPcdm+cBnKzy8s07VdlnSVPhOX043+4JNCdBEaxO9pYnmjsC2pFEwyqeCRA4qyPzONSoxTmIq9XixpElhXEfie+C75j13ehbtjodlKRCashJcdX6Ld/3aNL/zlxbbDloQmHJXKIwti5N+4UqAEpp8IF0ymHtnHc4C2aVIwlq8ihWKxeNyg40d+tJ1+eB03+Wiv7E06Ynvhzx5UPGHH2lwy/118Cu4nk/Tg6aXmGacELnPpEjbwFqbkwshUmk9MxCcy6npYgQX+eY/tiGyBa6tSRxBolSakwtsWxFZygitZnm79JhvBZSDEm96zQLPu+gIH7xmiEf319BEJMrhzDU1/ueLVnQ3nPOCL9hOoIeHvzXf5AcSwbP1K697A0tGKpVNq+JL1i07Ym1YeZz90/O8/5oKW3cOsbJus7ShaJSNhK7vmnTEiHFmOXYavd1U4DONvp5r4bpW+lgWIrtIh5pNpOxL+IpcVMa2zb/3XQg8nYo1mktq5nUvMJf4dct6HDgK9z3mkmgJ0kJLE8VzieWT5d35AEJh0CG/F7nViWUtiuB5jp3l4SmF1C78nEVvqz/eZ+f3/Q1llnubvDtEyYh/vMHno59vouwy0guoOel+x9Nm+MQxexQ71R6RBenrDNxRDGGo6UWKMFK5F2WcGOBnzsXFVn8m+onua5QnShLHFmFk5RLI822X+ZZPHAWsnoC1Sxd4YKdm6wGbdjuhVl8arlu99n1WcuxdK9dsir8XfH7XETxbF50RhRMjY++9Z8tc+LX79r3zs3f05I5DDaaPV7lgtcVwVeA6NokyqqLmIGmjoYEBjJ3m3a6dCX2aNMR1zAbTaGekvjlWJvRpupLdUKA75jKqC/EyA2CWZoC5pMaJJIotosjGsR16PZeaG/GiZ3f40t0dHtltpvWVsgmFIJbZpHh6+dYaq1AXV1k0ZzAfhxPvB1aBj1Ksfxc7lvkJtWhQWxa0Y4qyGq4T8dg+wZdvLxMnPvhezudxrT4DM3tPShlV14EKT1rRjGNNuxenSrAZ36V/otppEInTkyVxRF5l0krjKEViW8g4LVMqUwaMEjNknCQa1/EYORawYmKeN//UNNsOzBBFk6pUab5z24Hhv3h093T4veLzewb4WRe8iuu/cn2n0th47cb17h9/+NNfY262wjPXOywbs5kYAddO2HvEZmZOEcaKXmiiglJ9Ga8M3Fm0Nj+TRvuso5lFM/Nlo6HVk3R7pH9P56lMjqFiC19nirZm82NuNt2ey0Vntjl/U5fH9pSMC69OiLU00+IKbKHIzIFVOpjeT1WK5cLFt7SbyIm01IF6czElSWvhuflWDvhM6StNT0TfM9S2EhAJmx/1uGtLCVwHIWw8SQpu3fdQKvJqMoKBMGmHZZkh4VZbMzsf0+0pQ2EQ2ZVHYKXR37HNhtJ1LGMrnrX7NYBRuJXS5Ou9SNANjTDrzHzCviMxriOZGLKZnmtywSaFI45B+SLdGNpwbRwtdJ596au+V3h+7wAHuPz85ZSGx59oVJzXv/YF/N2jDz8sz1wj2LS6RahabN4ueOJAnVWjHlVpMTUXE0YqzS+zZk62wZQEnsR3MVxyBzMBlKrY9sfeEspBwlw75oEnXI5PS6olI69rWWKgqpI1FnPb67QRkSQWibKJIot6SXDe2pAvBBEzPQdUgpI2kRbmciwHa+CZEH2x6aNkMR/vn1gD96cA9UDHcIB7UiBYFRmDMrNx6evHLHQ1D2z36IUOVG1sKdKRvr4e44A0dLokJp1ybE3gaWqlGMeJuH97QrslKPnapJOWERGzLFPlchxBFBsJCKX6Iqcy7ThnnwEBnR4cnzEDD+uWt2nrFlu2OzxxIGDjjE2UNDjvvGcrr3bG6/fPXPhEzdv1/YDm9wfg5ZEzuev+reEzz7/kY7t37S+tbAz9ZbO0lft3JHx1s8vCfInTJi0mRmBiuM2DT/TYd9inWhIp3bUvxui5ZmNY9jWBr/LcOVOxzdiJgRcz1lxg30ybJ4+P0pkJ8tKeY8sBJSUosv/6nbssT9TaIoksXn5Zj6s/HzGzV5H5psfaSgUmM9WmRc2eIiW38DpFZuG369r3Gzx6AOj9juWijabsA15k2o1WzN6DFv95e5BKSBvZ6+I432IFXfM2BCINMp4DlUCxZLRLUJ7mSNvl8PEaS+rGcMzNmm9padeJzJ4qS3OMaL2Z7FJW1imGejlmx+GILbskEw2bsSGfF14YcumZ89y8ucs9D/t4wQomlld+55VXPPNjG2a2JZXmhh8egANc/IwNLMweSp7//B9/cvZoef7a6/dXb7tP4eGzcrnF2mUWZ62dZ7Y7xde2VGk4GZXTXCZNBJF4KbirJUU5iCn5hkeeGVYZ35aYaqlLtTzD9Te6PLTDZXVD043AT1LtjZNxsrMJljwC9wdplbLwnZiSk6TgjkEplLSIs6qCFAbkqpCm5BF9MHoPEK4KSW6RIDYAuCJzrxDFi13LTPkrj+BpumLc0xStWNKJUi8io3ZyArgXn2VZSpRFcN9LsOyEc9Z1eeEzF/iLz/rYCy7NQOHb9OcqpTkhwsjsq9AmfXEcSaL6NANjaai5/Nxp7n7cYcvuKrbtEEVNJkbKXHbGApXA4+xzL55/7pUXP7ln35Fk5fLvD7i/rwAH8LyAex+f/cKy8Wf/rxVrvA88t3XL0Oxci3Jgc/qqDn5pimvvsRDKZ8mohWPDsRlDRij7ZrMSuJpKoKiVI2rlkEopolIKsaSmFxplD9eJaVQ7bD8QcdPmOlFkgdZpWUvnZa1F36XBWvF3eZQ19d1mTXPVJV227C7RVgpkgtYmTYm06QUlApJ042kX0hSl+tyUfE6zoMl4qpXl4jIfYiAfZuhH6gK4CxvNvjipUfa9+Q6PqVnbbBQyubziJz7FpSTnmch+dcm1LJ5//gLX3zPHtr0jOFKmxxZ6kdls1nxNNVCpi0eCbQs8z5xcmTTI0WlJu+ewsVTlOedO8+mv2jy+xwj27zsiqFZHee3Lrpw6/4IL3ghTX0hU8/sJye8vwB2/DsDc/Nw/X3nFs+wwSd73yDfvGF06OoMXTPOx6y3u2zLEuSsdzlkvSawOT9wO1cRmuGFKh2VfUyvHNKo9xofa1CvzTLUiokRSCgJ6PQ9LKny/x9GWZt+RAEdIhEgGhoUXA8hsOPubrAGMp8QsP4DT18T4lqYdmzRFa0WkLKK0omLrfv09kWDlqqonRvL8NU7F0svfUyHnXsQUzLgf/ecK0Tu9CanoJprHdjrEHQnVxVvYxfz17D0NXuKKUT5RNstGNZOVLg+EilBZuEozH4EfdImUZse0x3DXYlIZUpfrKALfXD0rQUKpNM+tD1qQVHDtCledF1IqzfHJGyV7jwouOafBC55/0dH1G5/1+62F6J8r1ZXfV3B/3wGerVq1hormPv6yFzxLlsX0ew7vv2n0Ezdq7t3S4MzlFquX2mxY2eZ4b5pQ11DaxrYEgacpBwn1SsjkSItEz/CVBxRfvLtC2fX46Ssk9bLDkJPQ7Wl2HrTpxA4lOxvf6ldP+k2T/gDDCWSlxXlpWh7TOsuoTVhW2iLU4Kk0emcpykk2n4tVVTPp4AGQi/598T0U+d5SsAjoalF6Ukhl0ul62zYnTPbii99P/7G5yuXvswjzdCMexhLXsVkxGeI9niCFRdXXjA4LXntVm0ppgevudrl3a5O9074JOq6iHCTEsUzHFnscmBEszLqM1FwCr8EVZ8RIMcdX77UYm9x4dMnK57xlvqU+Pjba+EFAke9Vrf3Uf9ip8dDmr31sqBn83o6pZVM7dtc4fYnN8nGHVZOaidFZtu1VhF2LamD0VColTb0SMdpsE8azfOjzkrd9dILNW0Y5crDJQ9uGmZnz0FowMy+4fbPP3KxNydGDgxBSpGW2rCW+aLQrd5DI7AkVIt0m5iNwWuU3rRWRhlBjWtg6JR+dEtSF3HwAPLpf/z5J9WRg7MzqlwFzSmwqd5d1LzNXDSFMZzY/L9NXTTTEaf1+4KayMqfO69Y6FcdMEoFKBN2exXBNcOn5Ic1qjIWmWYLzVzksb47wzPUN3vuLHd7wioNIv8uhWcFcS9PqJLS7mvmWRclz2Liyy4GZkN2HEnYfsnl85yjrx8q8/MrRKemWfu/LN371Y2Oj1R8UDH9wAAc458IX87k7up/Q9vo3vOjSNfMrJhIaFcGapQvsPtrla5srBJZNs2ZRKwvqlZihepfx4Rnu2xHz6a+NUrZKnLEU1i0xzZ9YmTht2wlSSlxhmTpvzsxLGYU5R6R/qbekGiAoWYVSm9Ho0HQjWXD00P1qioKuEoQKorSTFyuRCkoukgsutLcHGVgpuAv3A0BPc+9sqEBaKhUrXSQpLZM8NRHZ5D3GHAyRgDK3RGui/KTMxDD77zHJ1F5VpgLbb4bFsYVStikPJea9WxbEEWzf6/P47ia93gg/eanigtOOs2824fgCzLUUc62E47OSbq/EFWdLlk202HE4ZnZesX1fzNHWGfMXnrnyDZefNfWJn/2pl/wgIfiDBTjAuauEuuzs2qdGxsd/2W8s704Mtzk4O89ff7ZMaz5gxbhkuG4xXDeCnmPNObbs7vKx64co2wGrRzSjdYtG1aYSmOl82445MqPZO+WllnIpb9wqEJvyzmdGXsqISwUlW9kX2bedmNl5wee/6jPXS+fUdFYujEErQgUdJYhURiEtACO99KuMn0Lx/uR73r5YUUEnPf05i952zjVJcsZgZn4rRWKuPFpQdeFlz+lQr8UQx6AjEqXoKWFsRlKSVMYxiZXRIkmS7J6cTBUlkiixaHddJpsw2uwRJppeBAvdhKl5zeEpl90Ha7Q7Q/zSj/XYtHaGfXOC43OambmY47OK3Qd96kGVN7yyy/Boi91HQs46fbg7MTn8y9v2L//Ulh119Z3i6Ttd3zMX5dutT33qM4yf8SJ99S2jj//Cj4WPNhvJS6++bsHef6DMugmblRMuS8cEkyM9lo/PMded5Xc/2mDnviHWDmvGhySjTYfRpmS0GTPS6DLSmOfux2L+4UsjNMumhFUJMJqIfib8KQl807gIPIXvJfiuMQ710+l+1w1xU0Ut24q4+osB//LlCu3YMXrjA3P4ZpAsSasO2RUiF5nMmYEZW7DPT7cLLEfLSolKhZqybeu+ZqNjpqAcO0kbXEYBLJO5M/yTOE9RrDQ9saVmuJlwbFZy/+MOkHJqhIUthJHcsDJlgsxqO+OkyJSclupI2jp97YS1y1rcs03w6N4qNVcQODqdubWwLInAYu2ShGesn+aWh11m5jwCR6X7CQvbcli7RDPS6DDPuu7wyPjPvvxl4X8OudPJeRf/3A8afj94gAN846bPsvVLl+nzL3Yef/LJ2taK57zYUbPOxFDAuhWwdKzH5OgCQ83jfOl+wedvH2d1QzA5BKMNh5GGzWhTMdoMGR9u4zizXPMNl/u2DTFRETQCRcU3vG8j/GkT+IKSpwl8U9sNvIQgnQ31vQjPM3JxgdfDskM+ep3Pez7e4PCcm3r+DPT4yRvbQpIqahuZ5lwxVRRSJPLBCwNuAyIrvcpktAPbLkwv2Uav0bWNEoHjJDjOoPJupt/oOLGJ5CJJN9GG6lryNeduDGm1BQ9sM9M7StpoYfQc7VQ/3c5ouVafmOakzE3HMrx8zzECqbVyxKGpkG88WkJol7JjhsEty9ixW1JiWZLVExH7jra5d3sAykZqRZRoLGlxdEbgV85g+bJVv/izr1356Vk/Ua966S/8V0DvB1NFOdkaWf1rfPHz/6p37fn6Z9asOM9ulOTf1bx99SUjIZVyQr08yzW3Kf7imiVMlC3G69qI7ddsmjVNsxrRqHZp1uZ5fF/MF+4ao+rZVNwktRrPpn5kOgFkXJj7op9Gm8V1DSnJc0LKQRcpe3ziBo8//XiTfdOe+XazGUqtESrBkxqVRIRxDI4iwqclLOzEgMaRmbA7OW13cBiZE6ooJ2id5IoBmdtFOqVjJSmww1R1N0TpGNLmmJlil2hto0PJkkbCW39xjiiGf7lBEPUkPVFiXlq4UuFaGjcWuLFxHI5Sl+EwVoSxJIwNX6Qb2nR6DgudEi+6aJov3D7HQ7sCGr5IfVLjlOFp4XkBgdfkja88QswRrrltCWFicXS+x0wr4ZLzlh577kUvnl69ZsOu47NdPVz/9nomP3IAB3jxS3+Gaz/7YV56Vf3fDx6tOqjKXyxMbRm2OcxUq82ff3oJDj5Lm5qhmsVQ3WGoLhiuRww3eowPzbN9f5s//qcGUzM1ltcUJVfjFyi0ho04eKl1nVSXxTXA9r0egd9mutXj87d7/MnVQ+ybKpnWnEgvaiqGpMfqsQ4vf26b2Zbg9vsCdh4uE8aa0A9oCSuXk3Ms8g3cQAVFn/p49Pnegz5FtqVwLJWD23UiKkEXYfXYeUTx9ftd5lqClz+ny8pRTRjZJIl533GsmKyHvON181hS84XbFccWYEGUcaTAiUy64tpmENvNQB6p1G1B0I2k4c53HWbmAsaGevzhz0/zln/02HegiWfr/Ori2A6u4+DaZdYuq/H7P3mYrz00xeHpGs1mgw1nnXaccuN3zjz9jE+EKhZKef+VkPuvBTjAy1/5awAcONT6BMKxy9aX3/ulr147SnwE13KYKMNIXTJcdxiqS4ZrCSMNY2G48/AC7/ynCvduHWWiIagHisDDcMgdw2ozrERwU0Vb45Abp7eQwO9SKbXYsjPmz/+1ztceqnF0vgQlF4RN5nOpo5Alw23e9guz/M8Xh8y3Bfc/0uXTt3b48j0N9s0KuiKgIwWelQ4H2DqdiMkaPhSaPtn0fH+D2W+lD9a7+3zv7GrT5eBUyA33unzq1hr3bSmx0IGHd8/wrl+cp1Fx6EUOpiupiBKHsVrIn7yuzY9dFPLn/5qw+UnJnAhwpTDmXGneH9oQRprQSaN4JOmFkm5P0nZsXMfDtqtcuCHi3a87zB9+3GLvwWoqiR0bRWHbGEhVyxXGhma4cHXI8AWSs89+3tHXvfbSNye9+BNv/l8JblGN6L8rwLO1ZKLM1NzC1SK4UpSHSu/pHf/CaNmeY+mQZOmoy0hDMlRXDDdClozMs/PQHH/6LwGbt48w3rAZKSkqvqbkCfzCiJvrilTJ1gw5+BnAvZCS36VWXeCRXRF/8PcNbt48BH6ALDlYUuJIgUlQNF1cTlstec1zBDNTQwihefaZXa44r8VHvxjz5r+2mI0sWpZHkBgvWjO0q/tNFZXBWp+y0dPnnDBQ57ZTiWnP65HYXd7zr2U+et0o2ipjew5uDf7lZo/XXKG5cINHt2eUDKRU2DIhil0qXo9XXt6lWT3GW/5Ws3nnCDOyZKxeLJHm++BGijASZsDBga4t8GwrZ3CaTmqTC9fO8J7XHeTt/wR7DtZwbYVtxWgNcWLjOSVsy2eotorf+tmrjq7ecNFbVBJebacd7qdj/ZdsMk+13veed/Onf/z2b56xbsmRasW5Yv+BheD0ZT2WjCX4rmC4njA53GZ89Bh//hmPOx4eYemQzVhZUws0ZU+YqoknKfk2pUBSDqDkayq+IWsZLkuPaqnDUGOeh3bGvO0jQ3z1oTFkuUzgOZRsQdWGqq2puZq6q2kGsGLU4ayVJVrdEmHkEMU2UkrWTnbZtk+xbb9HjIstJV46UJArcaUbymyYI6tU2OkwtZPfCvqNmUipF+G7JpVynTbX32vx/k+P0VUNKhWPkUAyUhKMVm0u2uBSdgN6kUOSWChlbkliESYOUWSzbqli/fI2W3dq9hz2UI6DJ/rEqayiks20mgkkUiljM0EfxTa90GXtZILvtfnPbxiZPd/WWFbC1HyP2QWb8fFlLD/t+dOnnXbZ7ySJ9/Gg9N2Pm/3IAxzgne/6E/7oj/7oYcefeCTpTt9zzqbGVY8/udWyLIeRumBsaJrP36348l0jTJQdljY0tRIpZ1zgexLfM44SpkQI5UBRKSU5Uata7jAyNMuW3SFv+ftRbntkDL8U0PAkDcdIVwS2xreg5GhqvmaiDitGfCxZRWs7PVRmmLZSUpx5Wpsv3eUwu+CBZeNngwVFPRe7Pxpm232AO0WAO0XnCyMv7XvmilMptTk8HfKb7x9l9/QQlcBlLNCMlRQTdcW6SZtmpYJluemcajrsqyyixCaKbDPsGzusW5qwcVWLR3dodh8OkI5tZk5TfUA7r6rIVJ5NpCNsgji26IYOrY5Lp+ezbDimG3fZujegEVg0KiHlSotVay+KRkeW/Z+rnnv51aWyd0255P6XpyQ/dAAHeNe7/kS/620/t+3s88/YrGLrQDuuv+jxXbOMVrvC8ua4+ot17LjExuUWE8M2gWu0S8yYWwpwT1LyBOXAsBGz6F0rdxhtzrFlV48/+Mgwtz8+Tr3kMlrSND1FxTPSFZk2iWdD2YN6WVKv2Ni2YyKayMp/5pK9ZDgkiiJuu7+Mcjw8S+BnPGmbPrDz0mAB4E4qkWFrHMcYc7m5hnoqc+d1CUotPvCZgOvuHMX2S4z6MBwommXNUNX0B8olGz+tFtmWmcyJE4swtOlFDlHsECc2cWKzelJz+uoWW3fDrsMlMzWVlSyzcmZ2tbGEsR4VpvEzPWdxeNpibsGjGjismuhwz+NQD3yesclSF5x/sVq5atP/qoxe+A/7Dhx+bM2K8acd3PA05uCLl1s9kwN7todDzdX/vGSJvFUo/Rpbbf+TD39uml6rxHnrHDaugliH3PGwoOykxKpUnsGxs9w721gmBK4pLT62O+Rt/9Dk9q1jjJZthgNF1TdT/rYFUSyY65gWfEbSl6n9XaenWWhb+K6N6zg4jpeK6vi8+JI2n751gS17y4SOnVZRRMrteGqfOxurK5KrLKkI3IhHd8Dn76wQWQHDjqDqKsqepuwLyoE000v5dL9pi0qpiWKL+ZZLGBuBzMBz6EU2cWJxwYZZ/vRXj/O7H/F4Yu8wFcc0b3oReJGppkSxIlFWKkxvNs3VcostWzRJ7DHfLnPWuoRf+PHjPHloBUOjK/5oxbI1n/HLy/fG0fHw7GdufLrhlK8feKv+O1lLVqyjNrK0U7UOb3vNa5793p0z695ZrZyXnLGqxPkbQ1YsPcatD7dod8FxJfMdnQqnp80JV+O7mVVKTBCEOHaLr9xvc/eTwwyXHCYripGKYrgqGK0JxpsWKyckQ82YuVjTCo2fY9bGDiPohIJuaKbCuz2Ti/ZCj+UTgos3tlFhTJS28NWiEuG3C2P94QdDAMv4Jp4fce/jNgcOlnEch4qtCRydasmIXC/GSecobZlQ8iN8r8XRmYidBzwOHvM5Ou1xbCZgerbE1GyFmbk656y2ecEF0/SSHnM9STcShLFODVlVyqg0V6NqOaIXJlQCuPQZ02w/2uKeR7s8ub/Opec/I/n5l02+8x3/9NPvvf+RuW2bTl/aOfvs9U83jAbWD00EL65zn/kK/vgDn07e/sZffPvBQ8ft3dtv/53ND97iffEuydRUieecY3GsE7Jtq+Ts5Qbgxg/ItOSN4VVCtdTj0T0JX7xzBJeAJTXNcEVTLwnKgUXJl1RKNquXKNasOML7r5U8tHWYmi+IYkwjJFJEkUUvNK68YWTRi2zC2MFOHCpejCUiYuWTFJo734mXyQkSxZYi0QnzPQclPXwLgkwFrFDvN6mOKff5bkKt3Ob+J1v8zTVl1o3CqklJpSSpBGZYJIpNPAvciJdePMvN98+zfa9HLxD0Io0bQs9W9DyF0uZ4rl02y4Hjms2PN7jsvCovvyxkru3TmHx277RzLnt/qTL09mO7fUZW/uLTDZuTrh9KgAO8/Y0/ydzcAtVq563jw5fLtl5ySbt7vRyp9C4plY7ah/ZErJ0oESnTwaxXFPVyTODHpiphJygVc9P9Ho/uq7CsBiNlzUjNolaxDF/Fl9TKknpFsWbC4cUXzPDoziqt0M3lLYwrr0ljothITsSp7IRdsvmJKzr8++1djs9XcoAXXR7Et/mcuX8m/UjuOgmHj2k+f1uZ+cRlPDAbWKOXnm5cU3m7zHM08CN6cZcb7vPYcaDMeCnm2IwgjGw6PTNVE8bmcuG7EeuWtnjuBQtsO9CgF0uiBDqhYSVaVsJQXWJZCbsO+EyOzvDkvnl2Hp6IHdu789d/4XkqsTfeuf94/NZWq0W5/PRWSr7V+qEFOECtVsl+fMt1113H6Rsvrmo185H9h7b/5MqJI7LkzLPvSInl4zFrlrbx3YQ4lQfOpt5nWw5SuYxUNMM1ydiQw1DdxveMTofnaBxH0enZvPCZIf90c5f5KZcoFbpJUrGbXIQyTvX2YgulbYaqGkcmhludmWUvmoE8YYoopxcugn86YmZLY8A6O+cCMjUDoFDpyDaC5neOpfDdmCMzCV+6u07ZFab9HmlaXcVsy3R7ez0bIcB3SywZ8WmUsqkgMw3f6sFMG463FbajWDIW8/DOkCVjo5x1xohasXzjNWNDjV99fOvU/OXPbTzd8HhK64ca4MX1kpe8hEee2D7ve/4bmuNrtktr85l7Dhx/+Wh9FxE9phciQpXQbtdYM6Fod11KgYu0NGUPmmUYqtssGbVYtaTHVKvHNx8vs26JlauixrFFkijCJJVry4YDcs50xpfua6tY2qJeitk/pdCpWHiR5y2FUZgtKLUUJCyyTan5pSAT11TMtiQRtiFBiUEV2r6CVn+OMlO6cixJxqZxLMmK8ZAHnuyy97CRk7Bti2rgstDxiaKQclo1AsGapYL5KKIXu8S02XNQc9kFy0kYvfa8c8/bMj4x9sFetzffHDn96YbDU14/MgAHOGP9OoBjdz+w9w/Pe+arV26YfoL5mcdefv3XtnB8Zoa9xyUrhl1sq0UU+Twj8LHtmIovqJclIw2b5eMxq5ce545bFPuOeKwck3kVIhOtUQOaJ3pgQseA3ohKhpHF+JDgJc/qsOVT/Vb8gMxbNmWUglyTaqjo/pBENhmUDShbUnHdHR77pzwCWxj+ev53BnVNBmY5hc5fx7gmCFZMKNpqnk/eZCou5UDSrDm0Oh5RrKl6sHGFpKsilo+6jI4usGt/wlnrK3iVc9iwacO1G05f/UaS9m5hr3m6IfAdrx8pgGfrmecuR0VTu4W96XcfesT559c21v9W3N18+bU37GHD8mm27o/ptMusXipptQWNkqRRtRhpwsrJBeZ6C2x+fJQVzeJIW8HygyJnxIy/ifSJTFU1VkYVq+5KVk3GaN0XMsqERTPtcpkK9xdIisYIK0nb+4lMLVaMyqsQmp2HbBZ6NsMVCqpU/VxnUN644LRMNoRhBhlmF1wuOM3i83e22HW0nnJ7bGYWfGpBl+Fqwrqlkrk45oFt8Irlw6zdsI5nXXLWbZbtf9CvnfbQrr3R7tUrJp7ur/27Wj+SAAeQzhDAdq31dmDLrieOTf7C/7jwwzPH71v35fs2W6dNJOw6LLj/sYCJGtQrFhNDMdOtBT70hQoy8RiuWVQCge8Z9p4QpnjdH/rtj8Fl5qWaFJzphjOKbcLQzG4KDOU1GyRwM51zSyKlPEHc0pLC0FPjzBlBpHV4hes6SMvGS9mKuQMwupA2yf58ZeoukWgIlaAXQquTcHTGYdlYlTf95GE+/DmXw9OS8WGbo9MBF26Y5b7HIqbnBOecHrFqxdnJOec8Y/veqflfW7PxWQeVYlvF/3bb5B/u9SML8GylUsrbknB22zIVv+DhrcnSX/75S6+ZPXRbbc/BR8ojZcFkw6ISGFWtJ4+GPLl3lAtXWywdtZgYDqmVQhw7IdWJNAMMFqk8mcw5I7ZlqgxxYjxuwsghjB2SJAKtUmWnTE+xr5LrODLvhiptwJ07vElT8osiIxivtUjnLS3j8myb7qqdXkWSBKJEEcaaKCLV7Za5qmuizUjmfFdzZCamFEhGGgHnn+7TrHfZuzdgTTtm3xGXXlxjyZjF6NCa1o+98JK5mfn2q0vl0/ZPLrN2l9wfbWBn60ce4Nmy3Drzbb170xnP2hu22mc8KLl4dfPZH3lFdXdl2xM7GkFwCC1b3PaQzVhFsmLCZvWyLiPNFuXAROc4tkBlKlsYZqIr87E31zFyDXEi6fRsvK5LJfRwZELgJAhMtcO1RToyZzgyjm3y4kQZWYpEaYgwirjaRHjflcSxAXg3FvQSh7IjqHqawDWtdKUhjDXdnmlmdUNJLxTGKS1JXe2kJNYw15UoqdAipF72WTZa4dIzjvIv+ysk2mHpktL80uVnT13+/HV2N5K/4pdOv2vTsmAWtMoow/8d1n8bgANUSwJA3fbAoWnhLbvhM5+7edW73/SSn29f3nrT7IHrw6/eb4uDM2rjignhr5jo8Ni+OW641+WnroyQ0gFRYf3yiMefVPiOJPBMClOvJDSqMb5rQDzbcphv22gtqJd9nnXWAped1+PRbVU8xxDByoFFvWxTCswEXJJAuwvdnqLTTUiUITllDMXAs+iFRjL61s0etz9UpuIImmXFUEWSaDOx3osgThRSgu9ZdHoW3VDSCS227nUJLBcnSGhUNa9+TpddhyN2HBScvaHO+RvohqL2uLDPc6648hn/fM2//fb/PePs/+tNVEpdOKyEWP10f4Xf9/XfCuDZuvzcCQA1sxAipLw6isKP25bFeWecY112Ye1Du/fHp9XdJy596Kb91sox2H14lnu2uFxxvuDVl03z4SNQLduUSxa1imJiuMv40AJhZOE6EQ89WabXq6CWCkYaHr5vUfEVljBDQeVA0qhYjDY1w/UY19bMLKQNolgzPZ8w2zJNm+GaQgqXkifpVo27xELHkKVqnmakJlg56dCNY776gMa3oTev6UUC30uYb1nMLtgcn3X53G0VKlLyrLMSprtwdKbGeRsVj+1flYwvX3P7bNfdtmr53Ov3HhaJ6wa86n/8jS5XV7ef7u/rB7n+WwI8W42Km/2YFRliHU/96vkXeM3jx859954jt7hJuDvZPz12/kJiP+Pg9B4OHz3OWC1hpGkUakfqEeXSLHdv62GrBpectcCOw4LOgkel5LB83MVybAQSR4LvSColU7FZu6wFskU31EyM+nTDCk/sVRyciXDciIWuZLbtIKSgUnLphhZRbIaaPQuqHgzXbdYul7TjFjfcb3PBBgvltNm6w+P4rGRyOObgMdOsqfoxp61wuOpZY7R68f2P70w215prrV+58srQC4b+IInD6WWTDQDe9OtP97fzX7P+WwP8ZEvYQwDTwG8AfO0bX2Oj5PLdB7s/NjGy8tUL1tyGV7wQdu/byuFjFpY1xy0PtrjjIY/VIz7nrG/TiyRTcwlTc6YNXtamzGGn1izVsmTpaA/pTPNvNwvmWzY/+ZwFJoY0h2YDypWYn3xum9lOwr99pcrB42Z6KYwM1RUlsKTpPjZrNiP1hMNzCYHnce5qycT4AhW3xc49o4wMuRxvQXnkIn7+1THH5+pbz9roX3N0NvjK+g36tgsvesHTfcif1vX/HMAXryuefQXAbVPTU7cBXx9ZmqwdLh1R11z7pBoZXr562dpNb952bDevuNLm+NF5ntx/CEdANw45eFyiVMIT+2DL9gDPUihlNqWN+gL/dovN9HSVNROKnfu6DNXajA1pmhXYf7jBysmYV1/Z4tM3enR7CgT0QjhjlWD1ZI/OXImxZkgcLzA3lzBRnyPUK+mxgssu6HH2OWupWXPvXThycOf6M54tzz29Jjsd50nghjWnjzzdh/aHYv0/D/BsDTWHAG7IHmu9B3Ab+w4cuvOM4x4l347OOr36273k4ue/aFww29ZsefABFsLjPLhjjFWjNVodzVwnJolDpJhmZrrBM9Yp5sMuuw5J7nrM4WXPnuPIlMfUQsz+B33OWW/T7s4SJw2G6xIhHeZaY1x+dsKDjzuMjjQ4/axLWXW6xzMviUmS6o3dXusvbSdx1i/bhO0vve101Zs5b/3o030IfyjX/w/wUywhVgDMAJ8HmJ0+iBA8fuCYGrelVrEK2b9rO71kjoWexbolLvdt60RXXnHRO1aPt1+yc2ZJdNF5JTathi27YM0aQeOoZN3aNl7V5syq5pGdDpNLNb/1M3Mkybizcm3put7Mze84eLzpjNW71CoWrldl6YpzcBwfx1by6GzpsEDvXLF8/Ok+RD8S679HNf+HZF3/lW+gEeMl63D9oV3zOrBczlyreGSnxUhTs/+4xYXruhw4ZjE+BFt2Ss5ao3CseXYdHhcXnj0+q7Q+vGrds57uj/LfZv1/bM/SXcGULYIAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTY6NDQ6MTUrMDA6MDBZqufzAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE2OjQ0OjE1KzAwOjAwKPdfTwAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29058775
    {'hecke_orbit_code': 9007199388958735, 'n': 1, 'trace_an': 2}
  • id: 29058776
    {'hecke_orbit_code': 9007199388958735, 'n': 2, 'trace_an': 7}
  • id: 29058777
    {'hecke_orbit_code': 9007199388958735, 'n': 3, 'trace_an': 54}
  • id: 29058778
    {'hecke_orbit_code': 9007199388958735, 'n': 4, 'trace_an': 69}
  • id: 29058779
    {'hecke_orbit_code': 9007199388958735, 'n': 5, 'trace_an': 250}
  • id: 29058780
    {'hecke_orbit_code': 9007199388958735, 'n': 6, 'trace_an': 189}
  • id: 29058781
    {'hecke_orbit_code': 9007199388958735, 'n': 7, 'trace_an': 1304}
  • id: 29058782
    {'hecke_orbit_code': 9007199388958735, 'n': 8, 'trace_an': 1449}
  • id: 29058783
    {'hecke_orbit_code': 9007199388958735, 'n': 9, 'trace_an': 1458}
  • id: 29058784
    {'hecke_orbit_code': 9007199388958735, 'n': 10, 'trace_an': 875}
  • id: 29058785
    {'hecke_orbit_code': 9007199388958735, 'n': 11, 'trace_an': 3448}
  • id: 29058786
    {'hecke_orbit_code': 9007199388958735, 'n': 12, 'trace_an': 1863}
  • id: 29058787
    {'hecke_orbit_code': 9007199388958735, 'n': 13, 'trace_an': -8988}
  • id: 29058788
    {'hecke_orbit_code': 9007199388958735, 'n': 14, 'trace_an': -12264}
  • id: 29058789
    {'hecke_orbit_code': 9007199388958735, 'n': 15, 'trace_an': 6750}
  • id: 29058790
    {'hecke_orbit_code': 9007199388958735, 'n': 16, 'trace_an': -24495}
  • id: 29058791
    {'hecke_orbit_code': 9007199388958735, 'n': 17, 'trace_an': -5492}
  • id: 29058792
    {'hecke_orbit_code': 9007199388958735, 'n': 18, 'trace_an': 5103}
  • id: 29058793
    {'hecke_orbit_code': 9007199388958735, 'n': 19, 'trace_an': -49584}
  • id: 29058794
    {'hecke_orbit_code': 9007199388958735, 'n': 20, 'trace_an': 8625}
  • id: 29058795
    {'hecke_orbit_code': 9007199388958735, 'n': 21, 'trace_an': 35208}
  • id: 29058796
    {'hecke_orbit_code': 9007199388958735, 'n': 22, 'trace_an': -127364}
  • id: 29058797
    {'hecke_orbit_code': 9007199388958735, 'n': 23, 'trace_an': 91848}
  • id: 29058798
    {'hecke_orbit_code': 9007199388958735, 'n': 24, 'trace_an': 39123}
  • id: 29058799
    {'hecke_orbit_code': 9007199388958735, 'n': 25, 'trace_an': 31250}
  • id: 29058800
    {'hecke_orbit_code': 9007199388958735, 'n': 26, 'trace_an': 216154}
  • id: 29058801
    {'hecke_orbit_code': 9007199388958735, 'n': 27, 'trace_an': 39366}
  • id: 29058802
    {'hecke_orbit_code': 9007199388958735, 'n': 28, 'trace_an': -72808}
  • id: 29058803
    {'hecke_orbit_code': 9007199388958735, 'n': 29, 'trace_an': 181772}
  • id: 29058804
    {'hecke_orbit_code': 9007199388958735, 'n': 30, 'trace_an': 23625}
  • id: 29058805
    {'hecke_orbit_code': 9007199388958735, 'n': 31, 'trace_an': 304232}
  • id: 29058806
    {'hecke_orbit_code': 9007199388958735, 'n': 32, 'trace_an': -395311}
  • id: 29058807
    {'hecke_orbit_code': 9007199388958735, 'n': 33, 'trace_an': 93096}
  • id: 29058808
    {'hecke_orbit_code': 9007199388958735, 'n': 34, 'trace_an': -439922}
  • id: 29058809
    {'hecke_orbit_code': 9007199388958735, 'n': 35, 'trace_an': 163000}
  • id: 29058810
    {'hecke_orbit_code': 9007199388958735, 'n': 36, 'trace_an': 50301}
  • id: 29058811
    {'hecke_orbit_code': 9007199388958735, 'n': 37, 'trace_an': -502316}
  • id: 29058812
    {'hecke_orbit_code': 9007199388958735, 'n': 38, 'trace_an': -791372}
  • id: 29058813
    {'hecke_orbit_code': 9007199388958735, 'n': 39, 'trace_an': -242676}
  • id: 29058814
    {'hecke_orbit_code': 9007199388958735, 'n': 40, 'trace_an': 181125}
  • id: 29058815
    {'hecke_orbit_code': 9007199388958735, 'n': 41, 'trace_an': 631172}
  • id: 29058816
    {'hecke_orbit_code': 9007199388958735, 'n': 42, 'trace_an': -331128}
  • id: 29058817
    {'hecke_orbit_code': 9007199388958735, 'n': 43, 'trace_an': 353640}
  • id: 29058818
    {'hecke_orbit_code': 9007199388958735, 'n': 44, 'trace_an': -857068}
  • id: 29058819
    {'hecke_orbit_code': 9007199388958735, 'n': 45, 'trace_an': 182250}
  • id: 29058820
    {'hecke_orbit_code': 9007199388958735, 'n': 46, 'trace_an': 1886472}
  • id: 29058821
    {'hecke_orbit_code': 9007199388958735, 'n': 47, 'trace_an': -467480}
  • id: 29058822
    {'hecke_orbit_code': 9007199388958735, 'n': 48, 'trace_an': -661365}
  • id: 29058823
    {'hecke_orbit_code': 9007199388958735, 'n': 49, 'trace_an': 145490}
  • id: 29058824
    {'hecke_orbit_code': 9007199388958735, 'n': 50, 'trace_an': 109375}
  • id: 29058825
    {'hecke_orbit_code': 9007199388958735, 'n': 51, 'trace_an': -148284}
  • id: 29058826
    {'hecke_orbit_code': 9007199388958735, 'n': 52, 'trace_an': 1423198}
  • id: 29058827
    {'hecke_orbit_code': 9007199388958735, 'n': 53, 'trace_an': -568052}
  • id: 29058828
    {'hecke_orbit_code': 9007199388958735, 'n': 54, 'trace_an': 137781}
  • id: 29058829
    {'hecke_orbit_code': 9007199388958735, 'n': 55, 'trace_an': 431000}
  • id: 29058830
    {'hecke_orbit_code': 9007199388958735, 'n': 56, 'trace_an': 2105880}
  • id: 29058831
    {'hecke_orbit_code': 9007199388958735, 'n': 57, 'trace_an': -1338768}
  • id: 29058832
    {'hecke_orbit_code': 9007199388958735, 'n': 58, 'trace_an': 3126746}
  • id: 29058833
    {'hecke_orbit_code': 9007199388958735, 'n': 59, 'trace_an': 287224}
  • id: 29058834
    {'hecke_orbit_code': 9007199388958735, 'n': 60, 'trace_an': 232875}
  • id: 29058835
    {'hecke_orbit_code': 9007199388958735, 'n': 61, 'trace_an': -2514180}
  • id: 29058836
    {'hecke_orbit_code': 9007199388958735, 'n': 62, 'trace_an': 413328}
  • id: 29058837
    {'hecke_orbit_code': 9007199388958735, 'n': 63, 'trace_an': 950616}
  • id: 29058838
    {'hecke_orbit_code': 9007199388958735, 'n': 64, 'trace_an': 291041}
  • id: 29058839
    {'hecke_orbit_code': 9007199388958735, 'n': 65, 'trace_an': -1123500}
  • id: 29058840
    {'hecke_orbit_code': 9007199388958735, 'n': 66, 'trace_an': -3438828}
  • id: 29058841
    {'hecke_orbit_code': 9007199388958735, 'n': 67, 'trace_an': -5073832}
  • id: 29058842
    {'hecke_orbit_code': 9007199388958735, 'n': 68, 'trace_an': -3134374}
  • id: 29058843
    {'hecke_orbit_code': 9007199388958735, 'n': 69, 'trace_an': 2479896}
  • id: 29058844
    {'hecke_orbit_code': 9007199388958735, 'n': 70, 'trace_an': -1533000}
  • id: 29058845
    {'hecke_orbit_code': 9007199388958735, 'n': 71, 'trace_an': -3748816}
  • id: 29058846
    {'hecke_orbit_code': 9007199388958735, 'n': 72, 'trace_an': 1056321}
  • id: 29058847
    {'hecke_orbit_code': 9007199388958735, 'n': 73, 'trace_an': -1477212}
  • id: 29058848
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  • id: 29059031
    {'hecke_orbit_code': 9007199388958735, 'n': 991, 'trace_an': -17127360776}
  • id: 29059032
    {'hecke_orbit_code': 9007199388958735, 'n': 997, 'trace_an': 58215264452}