Embedded newform data - 80.22.a.d.1.2

Formats: - HTML - YAML - JSON - 2026-01-21T23:37:59.889215

• 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': 38720, 'analytic_conductor': 223.58187542964967, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [80, 1, [31, 21, 17], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 157921, 'field_disc_factorization': [[79, 1], [1999, 1]], 'field_poly': [-39480, -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': [[3, [-8368290684, -126692, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799251210320, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 560, 'hecke_ring_index_factorization': [[2, 4], [5, 1], [7, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '80.22.a.d', 'level': 80, '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': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '10.22.a.b', 'nf_label': '2.2.157921.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(63346-\\beta )q^{3}-5^{10}q^{5}+(146299342+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '80.22.a', 'trace_display': [0, 126692, -19531250, 292598684], 'trace_hash': 407589592380278772, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.937', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.126', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.466', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.060', 'prec': 17}, {'__RealLiteral__': 0, 'data': '65.592', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 0, 126692, 0, -19531250, 0, 292598684, 0, 11866737826, 0, 41326831776, 0, 1887051472228, 0, -1237226562500, 0, -3100413932364, 0, -7175794652440, 0, 199718603894264, 0, 357559990100052, 0, 190734863281250, 0, 2563616231988920, 0, -2454584202185940, 0, 4310677151243336, 0, -21000167846983104, 0, -2857409023437500, 0, -32389201650205724, 0, 126386038156081288, 0, -16298035212712116, 0, 161845702253479412, 0, -115886111582031250, 0, -153492993930726996, 0, 251436016683357114, 0, -2456129297437264344, 0, 604198357317820308, 0, -403582341562500000, 0, -2796771718696561840, 0, -3110197357974672120, 0, -791142209760451676, 0, 24690614624666969692, 0, -18428237033476562500, 0, 5111819523383561564, 0, -11219196977510717208, 0, 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• mf_hecke_cc •

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

  
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-0.031826152199404274, -0.3743152083323689, -0.29252764998575076, -0.23934314265162288, -0.19812948075625567, -0.09236910170683495, -0.2199181641255725, -0.17361928092488277, -0.20230333628214037, -0.3324494370630184, -0.3019844751434195, -0.2666719936379447, -0.18326046550334904, -0.2933520551013515, -0.04610279358964527, -0.2298191776523126, -0.26030102226440505, -0.2228471619654576, -0.18452393395429598, -0.16670607033539844, -0.22669584562376488, -0.2838656607860707, -0.11238681259192636, -0.3476037680879414, -0.3917488839854816, -0.36300167917941073, -0.18267978450838998, -0.36066393689308096, -0.22056897894838118, -0.2865708901718199, -0.1512168330244646, -0.10910971140224254, -0.2946795926038183, -0.14032939320775867, -0.3541464847429478, -0.2580061394584058, -0.0886471172540866, -0.22930548444729593, -0.34644991381753815, -0.29101041930332017, -0.2081990339170232, -0.16540162367055028, -0.10299693778592796, -0.22737088463799843, -0.4056299425441326, -0.25511638468804443, 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• 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

  
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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: 42998942
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799251210320, 'source_is_minimal': False, 'source_label': '80.22.a.d.1.2', 'source_level': 80, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510799251210320, 'target_is_minimal': False, 'target_label': '80.22.a.d.1.2', 'target_level': 80, 'twist_class_label': '10.22.a.b.1.1', 'twist_class_level': 10, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 22}
  • id: 42998943
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799251210320, 'source_is_minimal': False, 'source_label': '80.22.a.d.1.2', 'source_level': 80, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599996469258, 'target_is_minimal': True, 'target_label': '10.22.a.b.1.1', 'target_level': 10, 'twist_class_label': '10.22.a.b.1.1', 'twist_class_level': 10, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 22}
  • id: 42998944
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799251210320, 'source_is_minimal': False, 'source_label': '80.22.a.d.1.2', 'source_level': 80, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518067225428018, 'target_is_minimal': False, 'target_label': '50.22.b.f.49.3', 'target_level': 50, 'twist_class_label': '10.22.a.b.1.1', 'twist_class_level': 10, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 22}
  • id: 42998945
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799251210320, 'source_is_minimal': False, 'source_label': '80.22.a.d.1.2', 'source_level': 80, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518067225428018, 'target_is_minimal': False, 'target_label': '50.22.b.f.49.2', 'target_level': 50, 'twist_class_label': '10.22.a.b.1.1', 'twist_class_level': 10, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 22}
  • id: 42998946
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13510799251210320, 'source_is_minimal': False, 'source_label': '80.22.a.d.1.2', 'source_level': 80, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22517998505951282, 'target_is_minimal': False, 'target_label': '50.22.a.f.1.2', 'target_level': 50, 'twist_class_label': '10.22.a.b.1.1', 'twist_class_level': 10, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 253425
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13510799251210320, 'p': 2}
  • id: 253426
    {'charpoly_factorization': [[[-8368290684, -126692, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 3}
  • id: 253427
    {'charpoly_factorization': [[[9765625, 1], 2]], 'hecke_orbit_code': 13510799251210320, 'p': 5}
  • id: 253428
    {'charpoly_factorization': [[[-641456877485696636, -292598684, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 7}
  • id: 253429
    {'charpoly_factorization': [[[-10836498403845106477056, -41326831776, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 11}
  • id: 253430
    {'charpoly_factorization': [[[889293656307747200659396, -1887051472228, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 13}
  • id: 253431
    {'charpoly_factorization': [[[-100706041520210954024848476, 3100413932364, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 17}
  • id: 253432
    {'charpoly_factorization': [[[-97900815420998031771321200, 7175794652440, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 19}
  • id: 253433
    {'charpoly_factorization': [[[8799343789463110035303258276, -357559990100052, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 23}
  • id: 253434
    {'charpoly_factorization': [[[-5665683035383492547213214313500, 2454584202185940, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 29}
  • id: 253435
    {'charpoly_factorization': [[[-25354116877766420094991125384176, -4310677151243336, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 31}
  • id: 253436
    {'charpoly_factorization': [[[-476800287871183307839308970186556, 32389201650205724, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 37}
  • id: 253437
    {'charpoly_factorization': [[[-7592112636642706014025681053267036, 16298035212712116, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 41}
  • id: 253438
    {'charpoly_factorization': [[[6540932954015409874836025012580836, -161845702253479412, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 43}
  • id: 253439
    {'charpoly_factorization': [[[-72723324581241708098759871875893596, 153492993930726996, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 47}
  • id: 253440
    {'charpoly_factorization': [[[-1161153875590951076862414668480329884, -604198357317820308, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 53}
  • id: 253441
    {'charpoly_factorization': [[[1879447142297605981269931857600426000, 3110197357974672120, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 59}
  • id: 253442
    {'charpoly_factorization': [[[-24172143350112449844267806755537383356, 791142209760451676, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 61}
  • id: 253443
    {'charpoly_factorization': [[[-105491873007795396591574261192572986876, -5111819523383561564, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 67}
  • id: 253444
    {'charpoly_factorization': [[[1567507427592734667123148836235244394384, -82388741313238482456, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 71}
  • id: 253445
    {'charpoly_factorization': [[[12731905025057294326584329609454665476, -10657918464992348548, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 73}
  • id: 253446
    {'charpoly_factorization': [[[189723518094618968557695705902174324800, 28314166125451369360, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 79}
  • id: 253447
    {'charpoly_factorization': [[[-1803421670518084587226774039865642590044, -10427725705926651732, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 83}
  • id: 253448
    {'charpoly_factorization': [[[57225070666685104909804797873318488168100, -478501472814113520180, 1], 1]], 'hecke_orbit_code': 13510799251210320, 'p': 89}
  • id: 253449
    {'charpoly_factorization': [[[-131211413258066126558113309468880642774396, -545226897779926992196, 1], 1]], 'hecke_orbit_code': 13510799251210320, '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': 4, 'label': '80.22.a.d', 'level': 80, 'portrait': 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LvD5TnYMpYQhIrVZoGH7hxMN2/e8wmhqh8xadh8y0MffLMh8Ye6/lQD3JhFZmaGKZf9nw5aZ+858epn5aMvmXsKzOntm1JmFiucnAy4/5YWY5UBZpYKHDsfM1dr8pEPtVlaGuL3nlSsRU3+zvetcsdeh9mlIeaWC8yvaBZWDQsrMTPLCUutmOpgl3sPt7nzANjSw1EOi2tu9m/XBJ0A4jjFtVOKbsJAJSYFphZimm3YPmZR9AKMESBs2n7KtvGA1boGk1GRehuCGAyGtUbI5lGLlq8QyiDSgLJrsW1Tl3pHMDWnSVLNUFlScgWOBXEs6ASShTXJ/KphsRbjOF2wYu461OaeGwQjZY/VWpnpRYe5FVhciVlci5mtwdVVw+0HV/n73+fTbGziM990WG6t8mOPGGYXRzl2TjC7GjA+3OC+m2xOXCoytRwyMRBzYGc5fvnCwHPf/93fkR69efdzxZL6+1dmInZvHXizofIHXn9qAf6pz/w+H/7O78DvzvzUiWNP/B9ff+qUs7zWomBHTAyGzNclW8cUl656PHumxW0Hfd55pMiFyTKvnIup+W1GqylLKy7Hr0mqQ03+xQ8vcusum9X6ILNLJRZWHRZWJcu1lMXVhIVaQjuMCdKYvVs7HNgFazXJwa0Bb7k5JYoVAsMXXnBZarhsGQyYnFe02yVu2pOw1IyZmoN9WyUX5+Cu/SmpCehELo4OKbua5894FLwIR8WEiSFJNEcP+lyecdi3PeLqHKzUity0J6HZ7XJ5UbF1MGCtGfLF5woYoUiShAdu6bB7q2GhbnHr7i67JyziqEDH95hfcVlYESzXEpZqMYtrKdfWYLEdccu+Nf75D3UYKQ9w+soAc7Uu4wMJtXqVV85Izs93eeddK9yxz+aZ10Y4N+OzZVywtKYYq0RUSwbHG2Z0y5Hg7rve8q/37Rz7h098/XM89LYPvNmQ+bbXn0qA//JvfR5jbVEqvPhPmo3pf9htXlDzK4LnL2gevi2gbNvMrhhuO9igYFX54jMWxyfbPHikzcO3FbgwWeHUlZTVekQYGZo+zNQFyuty16E1vuctITtHi9TbZZbWPJbXbFYagrVGymojpdZKafopzcDQ6cYMlSO2jaWAwLEMM0sWQjpsH1XsnDBMjHZYrAUcv1jitr2Gglfj1KVBSsWQMLQYGkjxu3BwW5ePPVFl/9aYIDAMVyRR4lNyHU5PdvGsIrfsizlxJWRx1WbzkMPOTbBtPESpiJkVsC2DEIbtYzEDJUnLd2h3LJodi7WmYq0Oq42UtUbCSiNhoQGr3YRtm9t8zwMr3H1A4+gKCytlGh2LMMrAe/pyytnZgLffvco7btEcPz/KF55NcUsdbt/jML+sKRWaPHRbwAsni3QizY37tyUTm7b91AO3bf7nJy4uJ7fc9eE3Gzrfcv2pAvhLr57HsjyvVZ/aNjNz6rtfPLX4L0+cneTmXRqjLLptxblZn0fuD5gY9BkdauHpMV48OcyrZxNen+zwrnuavO3mCiculplbNtRbEc12Qq1lWGgI5toGRJsP3tfg3Xek7NrkEoYFag2Xetum0VLU2oJWR9ANDGFsSBJQ0uBY4DmGatkwOhihrS6X50NOXnJI4yLvPBqirTqvnq2wYxN85aWY+250WGr4uFoRJxGDAxBHFtqKWV0tcO+tTb7yfImdm+CViwEWBR6+IyUWPicvJ1ydcdHSZmxAM1AUeI7AtgVKQJxCGBm6IbQ6hno7pdVJqXdSVtsGP0nYvqXDu+9s8MF7QkhLrNYrLK15rDUs6i1FrSWYW444ORnylqNrvO8OzfELIxw7C8+f93GLDYYrNhMD8IH7Ui5crdAOuiAFB7fVSfVuOsmuf3Tkpps+eWDv1mvttu8Pbtr3ZkOpf/2pAfjC7EXGJjbZx18/9cNnz5/7pfbaC2JyriFPXqpSqaTcdiBhrOTyzOuayWWfRhhRLnX4Cw+HjFcGOXGhzImLYLsNvv/hmIvXhplfVdQahkY7od6KabRTam3DUksw30gZqHZ4++0t7joQs31MUfYsmi0Xx5KAIowlaSpIDXS6gEgZKHW5OGtITcjXXikSdDz2bLa5+3CHKK3z1LEqt+y1uLjQplErc+fhDl9/1WFs0HB2yvATH2hydtJhbFDy+DHF3QcVa50mV6YHuWVfyFMnfeKgwF2HbHZv7eLHbb76qoJEcHlGUy5otICOL0mNIEkNUQzIFG2nNNqGYili66aAew52ePttMUNFl8W1Cqt1j1rTptbS1JqCRstQa8Ys1SIuzMd8/8MJtihz4pLh9Ssho2MNfvCdDcpuiXanzLU5j2eOJwwOdbhjv2CwZHj1ckS9NZi+7623my3bDv7VytCBj/rtxfDmG/e+2ZAC/pQA3JhIdrud933py1/eU3Q6P/vEs09bAkEYp5ikwLUljVNs8T0PRoTdQV45Y3FhOub8bMLmiSY/8aEWE9USk7NV/ECwaSSiG2jWmha1pqLRgVbb0OzENNsJbT+l0TEstwXLbYiSgJv2+owPJrQ7hnfdGbBjPCVOJFoawgiePO5ybcll00DMqcsupAUObFHcuj/FcTu8erHD8kqRG3YUKVdrPH/C4shel9VOnVqtzPi44aWziu9/qM3LZzVbRi1W2g1qa4PcerDD86cSBr0qN+xps9Ro8NKZKp4ucvt+w75tXZBtjl8VjA5GLC5HPHXcohsppIQkNezYFPL2O0NabcXEQMqteyEMC6w1Cqw1HOpti2ZH0WhLmm1odhKa7YRGK6bRSfFDGB+yaHcFV5YCxkea/MSHAraPVLgwWeHCNcnL5xI6psV3PhhRtUrMLMUgOrR8RZgq9u67PxobsP7OXfc+csmyC18cqur0zcbWmw5wY5okSfwXTp146ee/9NXnB1dXl+mEMZYW+L5h+0TAgFfki88J3FKNH3hHgi0GOXnJ5fJMzOmphMGRFnceavHeo4aK59Jo23RDTatj0WxbNDuaZkfS9KHdMXS6CW0/wQ9S/MDQ6sJaW9DuGsI4ZXggxnEMILCVQUtBx1cILIYrmh3jgt0Thm2bOwRJi0dfVpy7VOIdtznceXON33o0xRYDfOCBDl94PmZztcyWiQ5PvOrx/rtDHn8ddo64bBpb40vPFPjAfRaWs8JvfqnMPYcKvO1ok+NTXb7xkiYMiuwYs9k1Idi+KWFkIETKiHY3QakUrQxgKDiGkSqEkUWrY1NrWbS7mo6vaHclbR/aXUO7k9L2E1p+ttCbvqHZFXQiSb1jKJZ83n13k7v3S0bLg5y+UuTyTMrJKzHCbfMD72xT1kN86VmLSqXOzjFFq6tQCoJQMzgwyJ5DD64dOHDX31RK/+b2zYU3FV9vqthqbqnNwrL4SyeOP//Tx499fVAm8wyUPcK1Aiv1mJFBn2bQZWxQc3hHka8eK/GrX2rw49+xzJ03DlJwi3i25MTVMr/xRZvplVXedfsq994AcVxkrVmg7jmUfZtWR9PKH7bf1XQCTTcwdMOUMDJEkSFOsjuMbUwKUgksLXBtQbUkGCjB+HDKlrEOwwMNHnsVnn7NQqYV3nGbxc0HWjx7JiLslrn7ZkHD91laLXLXvpThagdPO3RjxXIzQqWCm/dpCqWAY+dd7r+1wp03tTh2XoGpcNshm7/43jW+/nrI4y8XOXvNZduIYnzQY6BUoFICzwFLG5SE1MDZq4IkEUSxIIwhiMh+xyBbzN0gpdNN6QQpbR+aAay2FUsdQWQC7ruxxjuPBLzniM3U/AivnHW5NJ1w8mqMU2rxVx6ps2NwgMdeKODHdSYKPg2/yGhFslpXrDVC5pZnWF776uBAMf2/77r7Pm1M89eEKP+vB/Azk3VaIX/xpZee/ekXn/vmqKTJpkGXa0shN+9WNJoOF2ZsVpsp7aZN2ZHs3aQ5NV3mP3y+yd/4rkUeuK1CpTiI1hpzwfCVZ0Z5/FiBew7W+P631Ti8s8XwQIHVeoGW79DxrRzYKrtDQRBJolgQx9lWnylus6RSa3BtKHgpg6WIzaMdYtpcnI34xFMuV6aLVB2PI4c0dx1u8tKFBl97oczRvS7bNnX42BMCJRzKpYh6OyA1oASMlDs0WzZp7PG++5b43a8U2L3o8u6jHcJoladODhElLnccGuXdR5rs3drgG8c6nJgucPyqzZZByWBZUHAEtpUtQilACENqIE0NUZwv1sgQRNlC7obgh9DqCmqBYK0FQne5aV+d739rg7sPgGdVmZwb4bWzLscvxxy7HDEy3OLHP9Bk73iJ05erRLHglj2KbZs8VtZczly1qXe63LKvy5XZMqRrnHz9q6MD5fCnD9x4nzFm4deFeHO05n/iAH/56V8jFpvpzH7jh2aWGz/7+DfPDB8YX+PMNRuhBN2u5vmzbT5wj89ItcKVWReDwFKSieHsoU3OV/g3n9a8/94GR/a08cMBLlyzGHIlc40Kn36qwIunW9x9U50//7Y6t+xuMJR4xLFDp+vS9i38QBNGiiiWxIkkSQWpEQgMUhgcO6Xgxjh2iG0FzK4GfOkVyaUZm6szA6jUYfcmm4M7FbcdaKKcZU5eLrG5WuCGXTA+UmOtWebGzZI4NTz2skPQkVSLMQ/f0eWLT0VcWyixf4/FfL3L6SsWW8cGuGnnMs+eaPH8aUEQ2hzYOciBrQ4HtrS4PL/GpVl4+VyBi1eKFLTA0ZKiY3AtkDLjnMZkizVOIIwhTATtQNDsCpoRhGlMaroc2dvk+9/W5L7DCeMDDq1OmdV6iZYvOTMXcWKmzZ03tXjknpStQwOcn6wys2QRxoZmy+P0RY8rc7DS7vCBBxoQlxmsxAyVFa+eblAtPTZ67PTaz0bJQPzpz37xtyZnavytn/jzf6J4+xPl4L/5sU/yQ9/7NZ598u4/d2166j/I+Hz1yrzH7KrD5iHFySuC+RXD7GrIbQeb/OX3GUSalbVqLcVKXbG4ljC/HDGzktJNI8rlBBNr0kCSpNAJBY1AUvOhnSQMVbqMDXT47gcaHNga0/U1N+w0jA0ogsgiSRRJKjE9cMsUSydMLRquLgjqfsrnny0wu1LAhBYDrmJiSLN9XLNrM9ywu0UqV/i1LxdYXapy9IDD2+9s8OTpJk+8MMiDN3vcsK/BRx+LkWGVH3p3TCRX+e0vV7hpe4kHjzR47LUWzx0b5h232Ry9IWC+scJHv+Ig4yKHtlvsnLDYOZEwMdKhUm4RJj5zaxGff9ZhteMwNW8xu2BjKYGUEoEgNYYkhSg1JHHKwFDE4Z0dgiDiwNaA73ogYLSiGCzZRJFLo+3R8m38rkWSQpAExGmXwaImDItML3rMLUsWVxPWGjH1jmGhbkhkwEc+sMrRvS4zSyVmlzSnrggmRkJmlgzXliS3HdpZHxnd+uN/42cXPv6V/7CJt73jTw7kf2IA/9zvfZy33bpbfOGFCx++NDX70dWlq4WSk7BnW5OVVpldEylLyyVOXZZcnY+YXosZHW3xnfe3uWWXTZqUWFgtMrdss7AKS2sxK/WElp9ijEGrLHKFsaEbgR8KOqGgFQpaEaTEkMaIOOa2wx12jofEMaRG5LREIIVAKoG2JOev2Zy95FJ0NSVbMlwQjFQko4OaiRHF9k0J+7fXScQq//6zZaauVTm6z+LOGw3Dwwv8wmds7LTK244oDuxZ4Ve+LImaA/y5dySshWv85pcKHN5S4O13pkhrnn//mRLjxTJ33qC541CLywur/OLnCoioyP7Nmq1jmokRyfhwwuhAl4FyF8/tUC50OHEVzk9LLMuglEGIFDDZ/wzEMewYT7j7xpgksohiB2NsuqGF37Xxg2xHC0JFEGWL3VIpqRE0O4rlmmJx1bC0FjG/mjBfN4Qi5qa9DT50f8DmgTKziwNcndWcvByz2AjYNZGw1jbsHi/gWj67dm3tlCq7f3jnrvd9amb6G+a97/vOPxHc/YlQlI9+7DMkzpj67a+f+2DYnvmtdm3SXWprhgcUZ64O0wh9Bgca3Lg3oFwcoly0Kc1KLsxW+b9+2+OG3Q3+j+9eYu+2NiPVCgOlItWSZrCiabYTukFKnKRESaYVCSKTbc1RShBDGAu6kSRIHKLE5dylIsfPQWIMWX8y48aWBFtlmo+SAzdsgrIHlaJkoKQYqmpGB2HbeMCmkTqRWePff7bC5SsVbt2l2LVFsntLjW+ejllcrXDbTslAOcW1fRzpYJQgTiTCGOIkpNZ2WVy1uPWAx837Wjx7zGVsQFBwS9y6L+UnP7jKv/tcyunZEvV2Sr2lWK5phqtFBsoeA+UK5ULESDFi+60hjhVj6RilEqTIkgmDIE0lUaRYWtZEsSKKFWGkCKL8NZQEkSQMJWEiiWOIYvADQaNtWGtkWpZry4blTszwUId/9D01btphs7I2wrmrZS5PC85MRlxd9tm1rcvuLYpWu0yjHbFtPOb0uZnC7p32b1UKn0vHhrd/9puPfyJ58O3f82cf4P/6Fz9BvSHV4vLV75pfXvzNy1NX3XsOWASx4sJ8yIOHE6bnCnz8UY97bl3h4VtXMGYUS1l4Nkwv21yaHOFf/HaLt97a4N5DSxzc1aVcrFB0XdaampZv6AaGKE4Jo5QoNtffCcSJIUlSkpSMb6f0wS0EKAlagmWBowWuIyg4kmJBUSlIBiqC0cGY7eMdSsU6n30u5KmTg9RXyhzepti+yWLv1i6JqPPYywWKlmZkQFEqdDl5mWzifquhEyhu2htxeLdhYT5huWbjdwu880iLZ074XJxVFD2JY5e5cVfKP/+hVZ487fPFJ4dZbRq2jybUGppqWVEpWpQKFkXP4Dopjp3i6AStMqol89FKY8gaVqkgTiVxIohjQRRLwlgQRZIgEkQxhJHIdsEA2n5CvRUxt5IyvZZSGfD5wNEmb70pZfvoIJemKkwtOEzNGy5Nh0yudHnrHW3uP1Tk2RMeV5ZC7r85YqVWohPE6OSE2+3Evz1YFn9hz7bKp8+/9vFk/61/7s82wAdLSJO2v7fbnPqPs9PT7o5Rm6uLMUf3J5y87PLK2SbVUoebd5R59JlB/O4q33VvjSQdRGsbz00YKEZMLpb57a8U+PLzLf7W99a5eUeAkiNYloPbVvhdmUekDOBxvF72i5OUJMmqC4nJKyV5tUQIgZSgpEBrga0Fji1xHUnRE5QLhmopZWwwYGSgRWzqfOoZyUe/MsSo63J4m2DbJosdEynbN9X47AuGtTWXA+OKgTKUChGLk5KlmoO9E4IoozrVKly8aqg1UxZWXPbucHnothZfetplqASObaNklRt3C/7yu5ew5BJfeHaAM7MuY82I0WpMpagoeYqCJ/EcjWODY4HWJgO5ACk2gJxsYScpJIkgTsiBDlGS7XpRlBBGBr+b1coXaykXFhMO7W7y//+eNiPlIrVGhdcveCysaOZXEqYXQy4uJHzHQ3UeOlzkueNFPG+NOw9ZNJtFTk4Z7jgQMb9aJkyuuks161e3b9Hatq3/QhZn/mwC/BOf+QTGpD8UNs78axEtl6W0sOyYakFy/GrAkQMJl6+VOTuVsH1cs2UQXjzn8uOPrNANbYQo4jqackEyUIpZqglm16r8+hc1P/q+JtuHuviBRklw7TwKRTKnKuTgzoGdZq+mVwcki9xCCJQSaCWwdAYQ14GCm1LyYqqlmJGqz/BAnefOhfz21zzOX62yo2Kxexy2jNtsGYP925p04iYvnS3jKYuRAUW1BNVSwEAlxrY1QmSLyw9s1poR9Y6h0Y5ZqtlsGy9x54ElvvZyh/OzZQpOhKVshKiwe7PiB962wu37l/jtr5V46VSV1bZmtBxTLcQUXInnKhxL4FgSyxJoJVGKvHyYodwAxphs98qBHidpvrvlu12UEsYpQZjS8g1LTcGhXV1+9N0CbTZx+nKBxTXFSg1WahFLtZjJZcN0PeKO/THzSyXiGPZstjlz1ePCXMhtB7us1FxcJ0JKmxeOzZZnlsN//9Z7D9gvv/Cpj97xP1Ck9T8M4MbMA+ovvfTs7/7077w4O9RsWeweF0wuWWwaaXPiqkFYPu870uXOG0p0unDkYMCZuRrdsMH+bQ6WTim6BapFi8GyzchAytaxlLXWAGcuFxkpRnhujJQGx5ZEsSSKBFECSSKJU/LILUkN6+DOmpR55AatsoaJbRlcO8VzY0puzEA5YNNwk8VGh1/6vMVjrwyyViuyZ0SwbVSwedRmy6hg50QXbdf53ac0V6aL7BuTDJQklWKClAGzywZHS6QAYwRhpNk+2uRlEpodRa1pWFzz2LfF5UMPNPj0N2wmFx0sHSGERWqKRLHktp01tn9fk8eOdfjYY4O8Ollk84BguJhQdBNcW+BYAtuSWFqgFVniLEW/mmDIFlmvXp6kGeD7u11O6Xr186INN24psLJqc2nKotGGeiuh3oxZbabM1QSXFgWDA02eOp5w7rIhTQxPHC8QpW3edXedW3YZXrsgGBtwmJrTHN5dY61dH3r+5Oaf/eD7PqQuX1v+td3bRv7sALzrN0hi60deefnxn7529exoGhe4tpCwdVOX99ypeO1CkYJMee6YxexSwHClwd2HfF6/lDlLvXCmwnfe1+Ith0MGyxWW1oqs1B2aHY0fSNIUqiVNGKW4doKtU7wkS+CiWJDkde0+104FfVZissgtBSiVVR0slWJbKY6d4DkxJS9guNrGj3y+cdLwiW9WeOlUlQHb4sbNhk2DkrEhm4kRyZaxkF2ba5yY9Pn8MyNUlGakIigXBeVCRKOT8JUXXEq2QYgMWH6ged/dAV9+MdPENNopSzXNltESH7inzUvnWpy9aFN0YpQUGcjTAt0w4/o/8FCDfZuW+N0nmzx/psq1msd4WVBxDQU7xdUptgVaCZTMFnIWyaFXOEtzqpam6ztcnK7venGS/ayONkzOKFbXDCkh3SBTLK60BHMNQShC3nv/Kt91/xodX1AtTXPios0DR1OGK5K9m1wWV4uYRPPlFwV7t7fYvklQu+hx8vSF0Rt2v/zTd9/1QLq61vyNocE//o7nHyvA/U6DV063mF3mB2euPvtzr7/62NALJ9oc2KXZPFTg7FRCxamxY6JMpVDizFWL2Xmbc5diXj/vMbuiCBJJMxC8cr7LnfsbPHLvGg/dUmfTSIl6y83rtBJLJ1g6Qaneg5IkiSDpvwpSk0fudL0aKoTJk8pMx6F1im0lOHaE54SUPJ8En68fk3z8iSqnrlYQkcOOAcOmqmG4qhgZtBkflkyMRGwbbzK93OI/fbFIHHhs2SKoljTlIpQLEcIKafpFqiWDEFlJMoolg44iTmNakU2rk1BrKmaXPQ7tKvGR99f52f/iMLVcRKsoXxiaOHbphpLxIYfb9jQ5vKvN6alZPvFNj6+9WmWu4VF0FCUbipbB1gZLgZZZO1+I6+vCKWDSDMhZQNjwmpcYlYROmKJlSmKgHQpWOwJkwIO31/mOe5vcsc/gqCKdrsXt+wT3HFSUPJe1RpHL0y6nL0tqnTrbxiP2bPJ4/CUbaXU4uneBJ576yqht8XMPPnBHbMzV/1xbG2JwqPKnE+BR6HPkhsojs1PP/uK1S18uzy6EtDsFvvpyzCP3t3jwlgKvXRhiy1jIoV0xQtoMVzMdQ7NjURw1BHGmb653C7x8zuWVyyE3P9vkI+9bY/e4YHTQQktNnMp+/TqL1LIP7oySZP/d9OvcvcidopRBqxStYxw7xlIhTT9iuRnxbz/rcnVpgGNnq5jUZsgTjA4bhiuCobJiqGoxNiQZH4rZPNJhqFrjsddSXj1T5fAWwUBJUipIyoWUohcirADH0WiVvb8xGX3yA43fjYhTQctPabUNa02LhdUyd+1vc+ehOr/7uIu3ptAyygBpNHFiE0YSP7AYrrrcvrvN7XvavPyWOaaWJb/9tSpL9QIzqw62khQtgd2jYTJLPPuBvEdVyCJ5nApik70mOYXJeHvWMJIqZrjS5Ya9bT7y3jY37ZJoWaLVLDDXcegGmiBSdALF1RnFSk2ysJpy4VrI3u2CzcMlnnxNUSm3+OA9IfVGkam5Nh/7vUeHVpvqF9967521Vqfz+T9OTP6xAXxt6SLl6ph64elP7JmePFN+/MUWA1XJ+9+ScvaqyzePxXznQ6t8+G0ajI0QPmkKAyWLtYai2Ta5wi+h0zV0gpSmL6h1XM5cdPnrvziAkD7f99Yam6sddown3HM4xKQKx5ZIso5k1pWUeQNnQ+TGIKRBiYQgMhhikDGnr0peOaf50kslTl8rEcYFSlox4hkGi4aBgsnq4OWs7j5UFYwPxkyM+GwaqfHUqYBf+dIom6qakTKUi4pyUVAqxHhOwHMXFN1QYxUzUBkjCGOJqxW37PN58WQ1Ez75CfWmxUrdYXFlgI+8e5GZlVVefH0ESwIiIgXiWBNGFkEoafuagZJLtVzkzn0d3nK4w/c9uMy56ZQvv+Ty0jmPC1eKxEITBIpOpFBCIoR4Q+KZ9wSMITEpaZpiiZSqHSOJOXrYZ/tYwKaBhO9+MEZSQDDA6lqBRtuh2bFo+4pOV9Luiuz3aSfUmhFLtYTFesriKYuUmJ1bWzx4i+alk0OcvhZzw66Qg9UGTz35XHlxbmHPj/3on1PHXj+f3HbL/j89AP/Pv/86v/pV275p4oUf7tb8f72wPMuhHRaXZiweP9bmxl0JWzsen/hqmT07mrzt9gYDBc3+7R4jAyUWVl1qLUWzbdH2LdrdlI6f0OkmjPgp4x1D3desdKr82ucrdPyIoYE2+7a2GSlHfNdDPttGQ6Kox7clbIjc5PxTyhQhBZ950uPE5SJCa6bmCswuFnA9RcURVIuGsptSdqHkCSoFRbmkGChphqowXI0ZG+qyebRJYup85pkyfrvI3i2GckFRKkhKXkrJjbGskMdedAk6EmsUZA6mKJYUPcU77/B5+rWUdiBp+wnNjqbe0iysFji4s8R33dfk2OkCU2sllEyBKOfLFlGSdR27oaTd1TTaNiWvQNELOLily9H9XaaXGkzO19FWwvErmk9/s4BQKgP3G/0HTQpkXeE4TNg+FvPhh3yGSrBni2CkYtNsF1ltFKm3POotm2bbotWRtPyeHDel001odRLqrZTFumG5ZSgPdBks+bzj9pj9ExWuzHisdtq842hIo1nhwjQE8TzV0qZ/PXnlG51bbx7+qDFPh0Lc/6cD4Do9w55BZ9+Fywu/NHv5VVlwoRXG3HOT4dK1EsfOptgaBj2XYyctvvhsma2bWvzkh+rcsrPF6ECZlUaR5ZpNs6NpdTJZa8fPTHp64vzBdsqQBysdm5WOw7MnB0hMzOdfjhEixqRJ9qBMr4uXl8iEQAiFEBKpFHGkkanG0pKSAztHDEUrpeCkFBwoOIKiJyl5inJBUylJBsowVIkZGQiYGGmRUOPf/p7LsydH2T0EA4U8ehckJS+m4IUUCz6eV8BREiVzDk5GB6LIousL/CChFSja3ZSWn2Yjc0WbmcUK9x4K+MkPL/Lzn9ZcqzsIkWJMRJoYotgijCTdIIueJV9TdG0KnkvBKeA6ESUv5La9IbYVcWRvzJ9/awet4rwJlCKEuZ6UG4NJJUmqAIVj2SSpRaPtcW3epdb0WGu6rDUt6i1Jqy1o+YZ2N8b3k/x3MCw3YKllCE3ITXta/MSH2uwYcZlfHmRyrkSlGHBkQHL66hDnZ0Nu2NnG921Onnxa7tja+qXETDwTdINTfyzY/O/9Bh//3d+lYo16k9OvfXBy8oRwhcNaU3HyakQYtTi0PWTvVpcotpld0gyWJMOLgsmVQf7Fb3m85ZYaD920xqFtLcaHiqzUCqy1bNq+pu0rWr6k1ZE0WpqVeoylIpRIcZSg5Qj8xCZM7KwkKLIyWO/qdykFaCGyTqUC1zO42uCqBMcCR4NrGzxH4NmSgicpuDoDeFFQLaUMlmOGqgGjg20mRlf5lS+lfOxrY2ytKoZLKeWiolRQFAtQ8DKfwvnVlMvzDq6dyW9zDJGkgm6o2TmeMj7cpdm18bsmj+KSektT8lxKhSp//q1LXJlf4Fc/vxktNYaUJE2IU0MUZ/oRP1T4gaTjSgpdjedYeE42rePYMbaVJeSWlaBlNighZdbOF/mdSVdEdudUr9ZUxLHCDyyaHYflmsf8isVyDRqtTAfU6WaUst01rLYFi03QTsjBvU0evNnngRsl0oxw+nKZqXmLuSXDzIpNlIDjNbntYJfDO+DU5QKtNrx67EWxu3b0g1u3Hr38zJOf8u974L+vRv7fDfC920v26tri32vVan/PRKlcDgR7JgSaIq+edzk32WHP1ia37RMcOVTgarVIwbUpuhGXF1w+981xvvZKm6MHmnzw3jVu2V1n67hHveXR9h0abYtGW9PsaJbXstJgqxuTGrCVyYCdJ0Umf0i9K+vkZYmVlilaglZZZcFSAkubrG6sBa4jcW2J5yg8V1HyJKWCoVJMqJZiBssBwwMdto2t8tKFgN99coIB12GslFIuiAzcnqTophTdmFIh4KXzcPxcgT0jJue9621zP1Ac2W/Yu83n5VNVOkHWPWz7Oge5RcH18Nwq33P/GscvLPHi2XEwijRNMjlsbIgj09eT+IGm0DV4rsK1UxzbwrETHJ2idYKlU7RKUSpFSYOUmTQYkUF7vYQIxmSl1jjXrfjdLFe6MGVYrke0OwmNDjR8aASCtQ7YbsDNB1p88N4Wd+5LqXhlZpcGuDxT5Nq85PJszJXF7ByiozeE7N5s4akSx855LNQCdm+JqDeVnJqu/ZNGe8qWuvhTQPimAXx51Zdh6P/TS1d+528uLK7ag1WHtW6An3Z5+C6XnRMDvHZhgPNXupy64vPOO5sc3ZcgRBUhLaQMKTqG6bUSX37O48VzHY4eaLNvs89bb21S9Sy2VzRFV9Hpan736w5Tyx7SgGNlQE1NXtOFfo37eoCvN3SUzDuWCiydDQrYeffPsRWuo/AcQcETlDxDuZBQKcZUSwFDFZ+JkRovnvf5p785xrWZKruGU6oFKHuKoqcoulB0Ezw3wra6NLoGJRWWMki5/oMlaa9mb1P2IjpxSifIzufJOKyk4SkKLQfXKbFjPOKf/3CD//O3JC+cHcOgSE1KkqTESUwYp4SRohsqfEfiBQrXlji2ydxudYplZfV+rUwGcJUBXOU0RQjzBrYi8s8207BIadg+0eD8fMDTLxZpBwLXSym6EdWhgA+8vc3eiYij+1PGqw4r9QoXp0rMLrtcW5BcnY04Nxdy6w1N3nM0JY0qTM56vHZRcmHW587DqyitWWtWiII52w/Kf+cv/+W/YBnT/kdCFP/I7fw/MsCvzjVpdMOfevqZr//1SxcuuqWSwbU8rDThheMWM4s+H35ongM7Kpy6XOTkZZsnX2uxe3OdG3dr/KBEEFoYE+Jow1BRsdgs8/hLJb4qIz73XBdLxNx9OOD2gz6rTYtPPutAAGMlsPV6C3rj1aMl9Jo5fYALlMrKZTofRbO0xLEltqVwncySwXMMRTelVEgoFyIqpZDBss/ESJ0Xz3X4Pz86zPlrg2wfzCosJU9SLMgsenuGgptQcCOiJOR3Hi8hlcKSBiXWy4SpyQAeJxY/8I4aX301pBU6dILevKii1VY0HI1rOzhWmf1bY/7lX1zlH39U8PypMVIjSdJcRRmnRJEhCFMCN5tWchyBawkcO+ts2tr0O7ZapUiV1calyIAuNpQPRYbw/gcqBFg6ZWQg4jsfqFPvtFhtSe44GHDfjVF2nMuwBOPidwtcnvGoNR1W6haLa4q55YhTkwnD420euhmuTI5w8rLi5GSE0Q2++20B20eKTM+7BF2NJUOajSvu6ROP/4077nxYGLP294UY/JMF+OTURYxJ7zxx8lWvsZTQjiMeua/BpuEKF6eKnLji8qu/3+Kem2vs2NLGKzpsq/m8dKHLXfubeK5HqaAII42SCZ6TMlCAdgCtwKbdsFmN4IvPpHztxWz7VEYwVMjGyGxN3rxY7170vux1KoVY7+QpJdC5oCoDuMSyZKbfsAWuk3meFJyEopeBu1wMqZZ9RqoNXjrX4Z/+xiCnp4bZMiAYKm6gJq6m6Gb6Fc+N8ZzMMnl2dQBLCZRM88W4nmQmiSSOFZsGDHEc0Yxc/MDQDdJM6NSVeB2Fa1vYloulKxzYEvMvf2SZf/Dr8OKZUZJU5jJhQxQneSRPCZwUN5R0bdWnYJYFls4oWqZTMWhJRlNyoAuxvgMKTD9ISJlRuVrTY6AEf+V9AZDiWAVsS9INLRZXbDpdnVXB/Gz+tdGWNDvghwlDw23uOLjKC6fKLKy0ma3DDfs63HejxhaDvHzS4sJsRGxavP+AodkSnDj+ordl8/Y7/3tOnPgjAfzRx74GkShMnnvU1mmbo4cjLk8X+OTjmpGRNrft6TI6WOb5ExU+/4TDSifB7wagPKK0wrPHJXfshqonKRU0Wgs8NxP4BFE2RxjmmuQo6W2R4FqZGMrSGc1QSmyIPGIDsHOVoMgGh3vUREmJ1mIDPcm/p53iuQbPyfhzwYsoF0KqRZ/hgQavXuzyj39tgJNTI0xUFSPFlIonKLmSgqsoeALPzRZH1uoPefGsoN21cRX5Ist+vt4QQpIKojijX3fd0OKl02U6UUZT/CCh4ytajsKxFbZl5/y5ysGtKT/zo0v83V+G58+OEqWSKE3zYen1GczAljh2mkXvXJti5Ys7u3OpQq+N/waQZ59r3vVVhiCSBKGi5Vs4Vsbh0xTCWBLHkjCWBKGgG0r8QNINBd0w0wId2CH5voMJm4YLYHyUbtFsF6k3y8wuFXn8BEQ0uPfWgLFKgfOTHufnYg5t6fCrH33c/qHvf1/hmace69z3lnf+jwf4/Ow04xNbqp/73Of+09Jq/X5XR4RxyHvvDRk6McSrF2yeP9nl3sMxh/d4lOckq82YTuCAMVhKUC5mJ5oplZXWPFcSRZllQ2+77Ql/knRdJCWk6HPp60BDJirqPxiZT+fkSsEM4NmCsHQWyWwLbCvFtXOBlZPg5fSi5AVUSj4DpSavXwr4x782wPHJUcarmpFCSsWDoisoeoqCpyj0o3eC68SUCl2eOm5Tb7gMDKy3ycnwTZrm0++JYnRI8dab2zz1SoofCrphugHkEteSuJbG0jZae0iZcnCr4ad/dIm/+8uG58+PEqWaKEkJY5PLXrNI7kSyry60tUTrXIQlBUqL/ufY+/l6n6cQPbCvBw0lDUqBkuo6nXn2e9Cf5I8i8tds0YEgim0mZ0dZq8fYOsUgaPvZCOLVuZQgCbnvZoWrBnnhhOaFc11u3JN5og8O+fefO3/l1+9/6EM/dvXqtfrOndv+xwK8XpvDby//3alrV75XM4fWDlcXBTfva7BnB0yMFvADNxsSHjF4jqLZUfhBBlYpwLEkniuwrSyLN0YQJ4Io0UQxG7Tc2fBsmuSTNxta7gixgW8LJFkUyh6IuI539xSDWpHpM7TBsrLBYtfOBFueG1NwI4puQKnQZbDS4NiFgL/3y8O8fmWM0arFaCGhUjA5uPPo7Uo8J4v+rhNTcELiNKAVOggls51mg9ipl7wlaRb5osiiaHczuUDoMtADeTehY6v8SBSJpTWWdrLqhzDcuMPwsz+2yN/+jynPnxsjSjVBIgiTNI/iAjdKcSyDbQlsnea7l8x2s3xHyz6ffCq/95rvgBspHxv+nJUUM0u75I1KxHhdfpsagxSCbpCVem3LQorsmXYDQ7MT0WinCCl55rUi3SikEbQxMmDPpoSVVpnzkytsGr70vSdOHL+cxNE/+B8awRN/Bulu3v7VL/364am5GQa8IsLYzM6n/IdPa5ZaCYd31tm5WbBzGLYMa1odj9WGTburiGIBRiBVNnWipNkwBZ6BPAN6NnGSqdpELp7KlW9m3dqhl/f3HoIQ61UTmU/o9LZhrQ2WyoBta9NXD7pWkvPmCM8NGCh3qBRbvHg25u//yjCvXRljpKIZ8RIqrqGUg9tzs3JiD9yek+DaMeViyNlJw5PHithSYqlssmZjQpwBHKJEEaeaB26L2LOrzeVrHiMF6IYmu4OETjePwlqhtZVFUpnVrm/YDj/zl1f4B7+c8szpEbqRR5BIwthQiDPK4lhZxcnWvd0rzQEuUSrJo3h2rwNcbODi/dmQTEuea1TSNAN4D8xxkhKnJrPfSEzfgqM3UNJTNhoy6tkJYKUJjSBl86jPjk0xhzbHHNohqNU9SAusNiyGy9CoTfPSyy8d/r4/96PbT5yZmbrp0B/+OJU/NMBfPjnHienKjubS8/9mdnHlEUmHyCQ8fGSNfdsHOD9ZwZ4xvHo65vFXfLZO+Lz9SJO7D9Y5POoQRg5BZBHF2WBC7+qJoZI0k7nGuew1jrOvo1gQ9eYEc+AnGySwbIjqva1Vql5ZMAODVnnU1gZbp1hWimOlOHaMa8e4TkjBDRisdKi1Ojx9Cn7m4+OcuDTMcA7uqmcoeYKiK/q18qzykmbR284A7jkBYZLQ9V1clS0yuTH65b9z2vt9Y51xeR0QhAY/EhsAnmLbCbalsSyJVgolrT7AEdnZOj/zYzV+7r/EPH9uiLlGmW5RUk0MpdjgWgYnv60+RTN5uZANAOfbAhx6tXvT14/3PFeywZJ1oMdpHpTyYYrUXN94C6NsPtaPoZskjAz63HNbh3fcnrBz1KHeqHB11uXitOLcdMK1tS4P356wVDOMWGuPLM8/kxw+dOhvGDM5KcSOP16AN9emcRzv6PnzZz+4OHuarSMe56Y1X3kRpKpxy17NrfsdZhddXr9U4eULHv/uU10e3dnkbbd1eNutdaJE41qSPVtTpBAkqcrrrIo4UbQ6OvcpUXmduDccKwlDRTdS2WBsnEX1NE/YNiZGWdmrxxlzcOeyWEun2H15bAZux87BPdhmuebz079T4PMvjLDSHmCkIhlxc3C7Ge8u5Iml50gKjskjeMa9XScEQp543aYW2Qw5XKfHJi8T9kqFSZINP5QdzUO3dnjxfEgrcqhEKUGYmfXYQaZVt3UG8GznsxAya9Bg4MBWyc///5p8+UWfn/qNMWZWBvCrmqotKMUphRicKLNetlVmaGT1Es0N+YzaQPHExp83pQ/sMDYEUeaaFcaZmX8QC8J81jNKDE1fEOcLAsCkKUambB0LcQoxVpzwzts6vP3WiEPbLFZWR3j2WJnXLwlmVwK03ebW/R1ukjaDnsXZKcVK4yI3XB354FCl+Dt+15/8Y43gYeBj2e7el1568a9NT57H77pEacpYxeP81Agzqz6nr3Y5vKfFULnD244aukER/5zDifM2p69W+PxzPlGYMj4Y8Y47O9gqJo5jjDEkiaDkGh65L8RSgjjRxLEmSSyM0QShQ63l0GzbtH2Lbrhu1rMewQ1CguoBXBm0zICtVQZuSyfYVoJtxbh2hGNHlDwfrTs8dTzh179S5kvPjhKmZUbLgmE3oyVZCbBXJ1f5LfLIvTF6R2gd8NyZKp1Qs6lg8o7hGyN4nmim2SJ2LcWdB33iNAO4Hwm6vWpImFmuWbpX4lQ5IHuN9YyqDVcF3/tgm5Izx298xefpM0MsRB4dV1KODUVtMpDrPA9RJs9LTA5y06d2UmycAMqid5xAEBk6AdQ6kpWOpBMbUhKSNCZMs8aTY8V8x31tSm6CyaVBSZw9j3feFTBWFQSBZvuYxNYl6s0SpyctvnG8zvhQl1sPGW7eA2MVl+mFIheuJQxVQhytOH78HKNjB//a7Ufuea3V8i+WSt5/P8BfPHWNf/bLX6NQrE50186/peTMsm+7Zq3hUi3CxJDk8kyRK/MOzx6LQIRsH41YbcLEYMpoBZpdi6V5Gz8yzCwYTl7JtBRBYohTg0kMjh3zey900TIhSaEbwN7NIY/c26BgSTYNOjhWBSkLKJW5K6U9gG9oyUuZZvRE9QYaEiyV9rUYjhVh2xGuFVIodLHtDh//muZf/edRLi8PYjku4yXBoJNQdgxFB4r5hL3nZN1ON28IZfqVJN8JMnqy0kxohza2UthyvQzHxipKL9HM6VgYW3hWl/GqT71Two9EbreW5QqWleRlPpVzWbXenOknrpny8ZH72hw5tMzP/HaXjz02wlpcpONYFC1JWWcaHEeDregPQ+heuVBenxCL/s9r+rx5sSXpmIhNm1oUnZBH7m2zeyKhG0rSJNP7HDmQYGsyU6VE5TuyxrNtjLHwA5vVeuYXGSeKoUrMe++J2ToqMalHreny/HHFlZnMR7FUtllrJQxXF3lH9NJb8JcmRLtxMQ0uIZ09/30ANybhBx65b8fp82d+5amLZ1ntFLgwG+G6XYp2nXffadgyVmHPkseV2QJLaw5+N6XsGaqFjJsNR4YgSjMzyIhMGJ+QcbhU9Dnb8dOlXHAPUQrHL6Z87ZUIE0W8//4WP/qeDo7lEEaqP8Dbe8gq78hJabJpnV7kVj0dRoxtZZTEsQMcy2dyMeZXv1zkc88McWVxgHLBYtCFASeh5Ji89d4Dt8zBLftNITfn3o6dLZxyMeCzz2kuTnm4SmQdwx5gWEd538bBZDw8ijUHtsN7j7T49UeHaBc05cjQjQxOmOcNKkVrmVU/+uU6gxDWhoeV7QrbhiV///s7HN45wy9/aZArCxXWYo+OpSkqQUEbPJ3TFSWw8iqTkhu6mxton8mT4iAWRCLkxx9Z4kP3hoSRRbngYKnesInMBk8iSbMrc4BLoiSzyJsPNN1QEgQqr6tnRQUhbGzpMjkrWFqFK3Mps2sBzTDkfXc3cCwL17EIfJuXXjnPxOYbf2XT9rvfFfmN/0+q8l8FeK0RUS1rXj/x0hbZOb17a6UFVZvZJZdL0yn1ts0rFxIqhSYfeaTJlrEqk/MFGi2LbkjG2fJtNoyyRk6vGZElKlnGHacmnyARed27FzkkaeqQaIfnjxcYLBruP5QVYS1t8gfR8wAx/aidjaPlwFZxNrljxThOgK0DWknIL33K5je+PM7sapVUeQxWFIO2oWKnFPLIXei372WuU8mpSV4774PbzrqXQRRyccahHToMOHkVZ0PTqdfo2djsiRNJFGnKRc3OLSHK6dIKS/i2wIsMQQ/gOskbNSqrY8ueBPjbJa+KkUqHjzzS4YMPLPAbX27yq58ZYsUv4msXVysKWuApg9sTn0mTf988Mc7zmH5lSkDRMTx0JOW+A4Os1TSpEdQb2Y5EvjOZvBrWkyOsu91Kwkj0gd0NIQjpYyEIsyGJa0sxvgj4Kx+sUXIcClaJtbrL5RmLuZUE/1qEM3B19223VrbcfOPRSWMChHD+aAAXySxhUBoZrqpPvTj9mhWngsGBDm/fJbhltcDsksfcCkwuejz6QpMffneNciFlqebQ9rMB4W4g8UNJN4Ag6EXyNJ/eTklisoTEgMlLS728u1fPtrSgVLApa0W9HVEuRGiVZCDOhUMZqHue2dk4mlYJthXh2iG2FdLohjx3QvLxr5X5zDNDdJMStm0zZAuqdkrRzny2C/Y6uF1H4jgSJ6cmWWMor0zkALetrPN5dd7w9KsFwsjCKZpvSTB7V9pfzNl4XRgpLEvz1iMtfvfrbc7PFPFdQRAJAstgx2BFKVaYZuU9mU3KSyHXmy68ocaeSgqOZqzq87e/p8PBbQEf+1qJV85WWPaLdJWNZWk8LXAlGdDl+gyn7ovTsr+zFVQKgk67zMunNZViVnLNElPTpzMmFesznrn3Sq8JFEYZqLthFuz8IHvthoa2b1hqwEpg+JF3xVjJGBeuOMwtC+ZWYhYbIZtHY0bKmmdeOGkdOHT0U4urjZtbrdbyHzmCT6+MSdecPBqsPVpZa6RcmrO4elyzb0udt9zc4pZDLjvqLvdJgWNroqTBQGWJsSGHtu9SazrZ1EdX43cVnW6mgw4iCMNs5SZpSpxm4E7T3qMCxHqL3bGzKfWBctov+2XJYoKlErRO+oBXKkGrGMuKce0QrSMa7YhnTwl+89EyXztWYa1RQnouJU9RtQxlO6VgGQq2wbPJo3YWuT1H4toK1xa4NrlCL83BnSVVjh2jdMCFGZhtuFljJQfKxq2+D0R6c5AZyONUEoaasbJg71afk9diOpGVVSgisEOyGr5KcorSa9SAfINOo7d4emXIKMn04d/9Vp+H76jxjdda/NZjZV45W2a1VaAubVq2xlEiuyXY0uDkYLd1PnwsskZdo5UwNS8oF/MGlMpdbfsLWLzBd2W9+hL2gJ2Du9M1NHzBahuagUHZMbYleOo1j5e1QCqf5VbCYDnkPffG7N6kmV4QnJsS/If/8nTlr/2AOXrk5l2P8l8xD/qvAnxlZdYJu+o/nnxluVj3Y8YGYc+E4PSVQX7rSz6DgyHdoMkj93RRdsLPfdKi6CW8/Y4m20aabJ+wSRKPpbUCjbwC0smjemYVllVMkoR135KNvFoKLMvg2lB0U8rFmKIb4zpZxcLOvfgsnYFa5zy74IYoGbHSinnqVc1Xni3x+acrLDWLCNfFKlmUNVSsbJLHs8hpB3i2yG+ZS05z3m0LnF707gFcx9h2tpCMiXjimMPUvMfwoMCSaZ70ivVB396VT/r3AJ4k2VDB9jHBW2/t8LkXQtqRhR8JXMtgx1kUD6Ke1DXJOHi/nCevoynZLdcHsdOs3u45Ad/9oM/bj6zx+8+0+PKzBZ46UWKpUaAjHHzHQlsCW0pcaTIKk3crMb38JtOid7oJji37TSN53Q61bkkRJ2luJpTRLT9I80qMYKEhCIkZG/a5aWfAw0d8Sh589ptFCgV4370hzY7LeMViaXWQJ48ZisWQaiWkLK4Wd4ze9R9Nd+Eg4P+RAH724nG63Q6T8z5bhzWvXVRsHYvYu9lCizJzyyn1TsTHH42JU5hZUUQpPPFazNbx7ICnB29aZe+WJs12heWal4NcE4Qyr3mLHOAbp9/zIYW8QePkfLfgxhTdCM/NaIdlR9hWlAMt60R2w4TzMzA5L/nE4xUefaXMUq2IsFx02aKgJCXLUNIpnmXwLHDzReRamSdhJjOVG26R/3eTgzztg9y2svG0y3MpJ686YFlZ0rahgiI2hvA+naBfScm28szO+cadAYe2tDk3W8B3BYVY4ESGQJGX9tK+viZLNHslyHWu0q+z56XINFXEsSaKLbqhheeG/NA7u7zvrjpffbXNJ79eYHLO5dxckbDmEDkWvqVpa4mnBaXUEKeSxGRdyzDKToqwLcG698p6c8jkweq6CB7l5vsBzDck9SBm95YmD9zc4eHbEraNWGhZJE40W6qaJFEU3TIFZTO35HBlzlAptdg2Jnn1gsOW4RrT106xtlr8r0H4Dwb4+YvzIoo6f+25Z/7dcEyTQtHhO+63WF5zsC3BxIig1swmbRptgx8Ydo5mv/hqUzG76PAbXyjzpRdavOuOGu+4dZUdm4os1wt0ujZBoNcBnsp+A2SjRFPlVRB7Y9fRDnHsCNcOKBYyc/okiVlYS/n6k5pLMy5Pvewxt+Zxaa4IjoMqalytKCpDUacUdN7h06avUMxA3Ltlfqsc4OScOwe3leBYWfS2dYTrhlxdhrOTBSx5fXlwY8mtV5Hogdv0Kilp3tyKLQ5t99k72uHUlZhObFGKBIEGO2+wqA0Al1IgpLwukvdpSt/UR/ST2Tgv2UWxRRBalL2QH3hHwH03NpmtN3jiZYcr0w5ffa3E3JpH13cItYXvKtqxpBxDJ0ophAZXZ40jrdL8dxXX5Ro9WUXGwTNPxmYomG9Itm5p8N231XjX7TFbhgr43SGuzXus1C3avsycbbvQaBtavmGtmZKaFMd2eOV8ythgE8dp8KVvnhr+sR/+K3/Nb879rFeeMP9NAD9z8lnSNP7etaVusVkv8dwJKBZi9m7rUCpAwZLcsl/T6riZ1sRX+VS4YLWesKkWM7uiuLpY5Rc+6/HEqyv8ix+ps3dzRKPt0Q0t4rhn9SB6dtY5PTF5ySqrhNg6wXEinDxhLBa6xIRMzhhOT0oef9nj1KTNmasuzcAlCBywbFQ545YFBQWd4m2oAzu6p9PoyWYzru/ktMS2FbYt8wVg1rm3lWSdRSvB1lnDyKQhi2uSwDhoLbGlQYt1bvqGAN4HeWI2+rlk9XCBZmQwRKou7ciiowVObLCjdcFYBqr1yCnFxkJ7bnaUz1b2I3mSN8cShWVldekwsuh0bcYHIraOh9y2M8QPu/zQ1Ranpywef8njxNUCV2cKrKYuLS8b1C5YkoJmvdSYD3T0BWWs7yJxmrXnW7FgzYcD29f4l39xgRs2OzTbw0zOlZlZcllYFaw20v6sZ7trWG5CK0jYNuZju4ayF/P2fYqSa5EmFRZm/eLTz776vUqpn/1viuBfefRxms2mOnXmnChbKbcfcOgGkulFeOZYxFwtplIO2Lk55J4bGtyxL6XV8YgiG5PazCwVOD9po1WEZyVcWbZ56cIIv/P1Lj/3YzWUiggimyRWJCYzXO+XTkQWuV0rSxwtKyZKEoIwRqmQywvwyW84dKICr591uTztsNx2CBILtAVKo8oSR0m8Ho9UZHZmKhceqSxq25bImh4bwW1J7JyWODY4NnnVJNtJLJ1iW3Ge5EZ4bshSLeHx50s0Wg4DFYHOy5a9zuC3GTzqt8D7CWGa1YeHhxQP39Xlq6/4XGsU8S2Z0RQNVmywol7NOq+xyyQrF7LR60T23yM1esN7ZEC3E0msM6BbsSaKbbTvYFsxnh1x7w0xdx4I+cD9Aeenmxw/q/Fjzce+XmZyySXCZqFtQ6yRUiFVRt+sXsWI3JfcQGwgSCCIU+KwzQ+9Y4Ejuy2m5kaZmi+zsGpzdc5wYTpkdiUhEQmdJKXrhxw56HPHQcO+zSnVgsP8SomZBZtT04ZumKBdQbN2UezceYN6+YWvx3fc9bY/HMCFgEql9Esibd00taC5tGTYv6XODbuKFN0SjoxYazm8firlzMUiv+WkNP2EG7a3ef89dRr+AJY1yPCAhWtLbDtmuaN48jmXZx+qcd9tAZ5vQaqyhAiRT5CkCJVl1q+cUdTb2QFQL5+3+OJzZcJE40cWC0s2Bk1oFCkKaWe1YUuCJQWONLgyxVHgqCzKWHmL2lbkLrJZ5LZ7c5l9cKt8RlP0o7dtpdh2T6CV9KO3bUcoFfLN1xSfe6GEsnVWfbiOf//BEdxsKKf1GiLdrsX77vb5/HNNPvZEhXbsUsx5uNXj4RH9oeHetJDoaYXptdnldZG0D/A0i+S2zimL1kRxFkzCKEZKJ69EpZSsmCO7U27fnSJEyHfcs5pp9lP4wvMer55z8FzBSltz8oxLvaGQSvV/jkwMl9EL0Y1525E6b7unQ72ziQvXKsyt2LTagigOKZR9hmWHD9zbYs9WSbvt4NkWtnaoN12mZm2uzAqmlgL27Wiwd0JyeabAaq190wG3+EvG8JE/VAQ3pgGUy8889fn9Ba+rbtjZZN9KlenFAa4taLaOwVDFotbU1JopjU5Cq5M1WCanCvzCFBRdyb7NgrEhxeiA5MAOePdbloiSVT71dY/f+ILMyltmgwFNjgKpJbWO5tWTLu2WhdSaCEU3zaoGSkq0k3FOpyfGB3QuyrdFtmX2wGBJ+h59GcjXbZItnQ0C9AaPN4I7i/C5rNbqRfBkwx3j6AhjQmZXbMLAxalI7LztrcQ6L+13MXsTPay31zcqKZNUEUYWAyXF1uEQW3TxYwc/Fng6qyX3NCS92n9vbC/7+GT/vbL3kHnzJ91ggp/2PRzjNBub03mpVSmd7QwizbukJk/4s9ehUopUKVIk/OQjCeI72igrodaCl04pmn5WGOjRTHqDzPn3aPmGf/exAu1Okao2eRNOMj6kuP9Wi5JXAEr4LY3vKxaWsrG3WhPqrZS2n7J1TBJ1B3jsRZhfbXP7waaaWWjvf/g9j5SnZjvNN57L+S0An7q2hlSNn716dfLBoNvl68cqbN/S5L33J9RaHpbKSmkd32GlYbHasKi3wO9mY2YYg+dIBiuSoUpCpRQxMeKzf3ubzz4DH/3CECkFhNLZA9lgJSZk/rXM6q9eMT91oTcV30vWSPv15Ot9B9eBrnOpqqXWwd0bdcuO3qMP7mysS2Hn4LY1fYlpFsHzKK5T7Lztb1kRjhMxvZLy218tgraxpFhPMPv0RHxLBF8HOX2T0IyHZ9qNMLL48w/7/P5TPmcWS7QTi0KcHUqbqQDN+iROfiZP/716HwaiX1ExeRK/HsUFSQ/oPQlAonLaY5Aivb4isqHImeWyvX5EghRZY+2Bmzf6rWTGQr1XJVOEihEy4OmfK/OZZ4oc3pSweTChXBCEYTY34DoFMBmO/K6h3jasNSNWmymdIMFxUq6sSJp+yJ03xrx1p83kQszc7JUH22vTP6tN/OP/nxH8k194DCGkvbx4hW4YcXW5wOuXy5y72mapmbJ5qMM7jgSAzaZRi50TmeNRo20RRtkHa1spRS9ioBwyOthhqFLn+JUuv/LFIRJ7AMt2cFXWDLEkaGH6pTWdJ5i6b/WwPsTQ+5h7VYIkbya8EeQqN/hR0uSDtpk81Nb0T3HoTdWvA1z2aYtjm/5Im22nG4xzYqw8ets6QsqQqQXBctNFaI0juY6e9Nvzbxge2EgdrgNeXukIY4uhcsD2cZ9zCwF+oukm4CQCKzFYcc7DY74FkEKoDatJ9FObzGk3N7/vJ56CRKfoNM11M2Y9cl9XasyS4czrMYN779/KPtjT/teq97XIIr5WMbaOKRY6fOS9bS5Or3L6yhC1tmKsaqi1IhbXstOtIZPhNjqGtU6K7YRUKxGFSsQ7jgQMD9rUG5p9myWr9ZjVTkAcXeHsqS/aafqt/Z5vAfiR7ZdREp6pp+i0wAMHU1brDnMrLiJIuHy1yC9cTllthxze2+GhW9Z455FV0qTQP4LOsRMKbkhKl+VGyMWLMT/1n4c4fnmYoZKmbBk8leZiHzaAeT0y9cGdN0o26qnTlHySPBNsJel6Db3/PXoRPDeC3+iFsg5umb3aPaD3ks8c3L3pH532KUrWWMr4d0zEl5/zWFz2sCoKu0dN8gRzfXj32zR6zPX8eGPTpxtkDrbvvqfNcye6NGOXjtZ4cUqY0y4lzfr0Un+GMmV9cqiXaIr+Z5b2bKaNIU0g1evvGyvZj+DrU1b5oQKxJIzyalfvuwty64n1ipfa+GeV9kVvVl4s8EOHm3a0+Vc/usw//+2I+ZUSF1c85JKmkJdiUwOdwBAR8vDRFg/eHHHrLsVqo0QcV+h2NV00LxwXrDYTtBUxPRfz/NnFDcv5DwD48VefwHEK977y8jePXJmdYtdEk4dui1hrlEhim8VVm/kVh1rLUGs6nJkp8u8vt5itLVN1G2wfN+zenPDoMQuDYa0FT75eYXatwMpqgc0DgrKdNVj6Ph396Zv19vP6MOz6bOXGQdc4NQSBoRNkirsoNn1fpt6oWm9yXKsNIM+B/S0A7yWcPd6te7SkJwm4XktuWxG2FbLQSDl2yQNto3N60mvP9yM410dx8hhozLo18XpUlf2aeBRZ3LonYKjq06gV6MSKggIrzh0FEpPd0UaAk4G8/0ayTzHWd47sDE2jBalJ+7qRTNcj+hHcmOyQKj9UdHyFH0riOHfsFVlZsD+I3DMRyp3Des5ZOj9cYN2D3abbddi9qcP//aM+8/U2T7zuUmtpEhRPvu6wZ0vMzrGAshfzPW9R1OujvHCiSK2Rncw8vwqLtZgojVj1Ex64JeHAJhiouEfuuvuBe7//kQeefd973vrtAf76xRZaB+958Vz3lnrD55RvM7kg0FaXu25oMDBocfshSaPtEoaKi7MJP/Mpl5//9GYwEdvGIraNJbx8ziKONY5SiFRTtGHXUIpnpXmDYB10PRsDlXuXrL+K619FNjMI2VGBrU5CYmLC+Hq9R7YjrINba5GPaokNlhGyf9s9zq3p8+1eSTCL2OvgtnL+rXWEIOJLzzg8d6qEdDS2FJn/dl9BuNGfpYfvN3YzRa4N70XxLNFM0swq7a4bfN57X4tf/VKJMHFoJxI3MQRxvog37hgizXOY9A0LakMkT0W/jZ7tHr06edp3CNMqc+AVZNSpGyhWm5pGKzv1IYveMm/EyfzzzsYEe7mB7p+ckS2ArLSaYls2bSum2XGplkJu3Nblhq0h2uoSJSmv3O6zbSxh62gKxmK1ofmFrykuzRi6UULbj9i1xadUjbn7BoNSNtWCwkQRt+1s3rJn89J74jh+9ttGcJNcAFl++NjLX/r+S2fmGdzpYOtsa7i2FPPrnw+w3ZCDuxL8bhcMtAKNqzTbSgopFUnH5cpl2ORl4HKUwbXSvLFCZl+gBJaVgU7lAO99UD2lnNrg3dGze9C96oEEKSWNtmG1JegE60cAZrfoj2Rl/HsjuOX1ALcycF8XufOZTTsfb7N0b+Ag3nBHhER88okyiXFQ/e7lxgSzl1yKfmXjOg7ei+Jpj6ZkAwNJ0ks2NQKL736ow+98OaCeRviJi58IrJh+FJfSIGOxTlGQfKv2SPZPlutRlo0d1dTIfEWkOSgyulHwYtZaksk5QbOdIoVZDzi9wLQhQOn+c6T/vLKhE5WPCxpsS+NYKbWmg20Vce0YS2d+iQe2ZEMs80vZTmLoctdNq9y835AYQTcU3LQzxtEeiytlphcsZmYNSkpm15ZYDOvff+ed73vy1dNTX739hu3XAzzwBbaT7hGJ2N1sJrRjwd7NbcrCYzSyabVcOm2bV17PThMGg60lOwazJoqUXH88X84Nex+ClUdSrUQ/qqqNFgZqA7XQ9D+c3iR4NktpcKyEailC6ianZi3mLxfZVE3684V9KrKBc2fvtx61dV77tjaC28rkn9lgsskj93qCqTdEb8cKOXZJcnHOxSgLJSW2TLMKjthIUdYJ+BurKFzHwdcHIHpNnyRvqe+eiDi0q80LFzwiZePHmbzVSgw6Fihh8mEPkevj07wylV7P+xF9z/Rsca0n6+sHGEmE6JUhU8YGu5yba/LUmTIuioGi2ZCg5wFEy3zH7HmtyA1BSfSf53UDz7pHUXvTRNnhBL2dBgNCGhyryIHNEbaOMUAYaeJY0fEtltdiap0Ozciwb8KwugYrK+zWRHukSb/6LRH82kwbz0s4edFwaU6TJJqlZYsoEZRcwb5tGiHEBjOe9aQO0bMjy7wweoS4Z53Wi8z6ul9abFjtvW2NnLPl9V69Xp5zrATXSSh6IaODTV660OGZM2OovGPWS7iy/y/XJZMZyOUGarLB/Ecb7PyD79lJ9BaUlYPb1lljx9JZ9cQQ8eknCqyuegjHwpYGS2xI/N6oQdmAsY0lwrQ33LFBx91r28dpZms3PCj48FtbHLtUJkhcOsrGSzMurvtcGGRsNpQk0wys10Vy2T8rs0eP+gHJiKzJJkBJSaqzZBORcN/hVT73XMyrZ4aZqAjKTorbb5LlNhQ6a7IptW6NlwH9+mif5VwSpek7/fbKqb35+0zmmy08gUFKD4Hpy4CjOPv3Q1WYGDEkqcS2YgYLXQZGuoR+DROtiwv7AH/i619EK8mVuQaH98RsH01IU40QmU5DyhT6+gmRm75kE+7dUGSWAFEmrOlVa9Zlr7whSudDwf2tbOPXvQFhk1EFK8GxEjwnouiFVEttOlGTr7xSZqnmsWsw7X9/qx8pRE6HJNpapyVay/yh9Jo+eTkw3x2sfis+zb9O+nemOc8OqjozBZ/6WolA2igp8/Lg9Z4sb+xgvrFbv+41wht4eM7Fc5pCYvHhd3T5zUc7nLjiESmLTpzvGPkUjkzyyZu+/VqWCGZvmvbtNcwbzi3qHfFico2yBGIpSLQkTQVBqNgyZvHeozWOn7e4sFxluKCoOgbPzsRqjjZ5AKFvp9fLg3pfbwxwGynOxtPfejtKzzwozG38ojib6O+dc5psKAm7jkQIiIzFxHDCFv8cF6+sAMn1AH/11Dy33TBe+H9+4Rd3RvE0aRzz2gWLa6sx28caHD2UcaD922JcWxLGuSotUhij6QY2y3WbViezdYjT7MMTYr2UtV5G2mDG0zsMSq1vVz0f615i51gxRS+k4HZJ8Tk3E/PxJ0t8/BubGC0oClaSdy2vLwPafZ4tsZREW2JDN5N8AfVe1ylJtoX2wJ3m4I5zehKjrJCLs5pWaGe6Fyn71ZNvac9vWOTXVVEMG4D2hlp43mFMNoC8aAn2b+5y4mJIkjr4qY2bCCwpsgQvpypRP4qbfuNU9JdTDnQyrTis05X+0Yrk9hGxIIiys4XWGkU+/EBEGC3y8W92uXhtgBXfoWorSm6Kp8HtmSrp3hCz6O/I2Rhcuu4ypkTfomKjPQV5XyOMUtrdlOWGwY8MCb3BmOzVdRL2bksIjOSOg222D9lML5do+pqILjff4O58z/v/WuHv/u0f7Ai5LQN4Gl7j9Nnld0xsGv67szMxIxUHrRWVtuHFk4N87pkY1/J5+M6IaiXBDwVJkhKEETftDLlpl2arU2Wl5hFE2ervS1/zqNK3JRCmn2X3Zyfz0lI2uJBi6bhvg+a5AZ0g5My1mC8+6/Dxpzax2hxguCAZLiQUHLPhANRe00b0S4AZwHN3VZVTmOtoSdo3BVoHeW9QeWPlJBtYXmul/MLvlVj13ZyerDd31kfUxHUg/4OuHpszqchPXtkYwbOKShxrygXNX/1Qi28cK7Ma2IRS40uJLUXeQ9i4uDJlj9jQfzSkfSCbnPP31Ib9hZavAyFlfx7TUhYN5SGF4QcfbvLIPct8+pkGv/dMlfPXKiyuOBTt7NhCz16f77RVz3BpXRe/0Qdx3Z5i3SauR9nC2LDYhEgG3LSvzcGd2bxmmkAQGkYqCe+6I0Jrl8WVMucnJc0m1H2Boo3rDf3da9Nnng26nd/vR/CgcZLUd/C4QtULuTRXYGYlIQhSxioWWwYdgsjh+JlBulF2pFySGJIk5ezFmPP7Ux65W1B0Yzy3J5zaYMQj1s3Wpcr+rPKTBrTMX/MBYceOqRQDwjimE0S8ehE+94zLoy8Pcnm6ilt02FSCQTel7BqKjsCzyfUjud+3FliWyl971ZTcPljniavqUZINwO7ZS6jcakIl+WxndnSKbYd84gmL05c9kBZSSpwNUlEprufgvRD+7XzMzQYuvk5TuI6mxGk2chbHFjfu7vDIfU1+81GXVDv40sbJBWYZiMT6+/NGmtKjKGn+Piab+NH5+27Qr2QxXiKE2jCJZIgTSaVk8ZMfaPHeo0s89kqdzz1T4ty1Iiu+S1S3KRYkrgYn1wHZeUfa2qDPWfckXwf4+jRQ9hNoJXn/vYI7DziMVjMX3jiX+wah4sKkIowklo7ZOr7G8IBgdqXAuUnJN1+e5/LSaaIwXKco88sVlHZpdxwsaTi8M+a2PZJW20YKTZTInF9v9J7r/Ugeg66g3gwZGQiy+US53vaVwiBkr8SUTcKst3XzGUoZo1RWfqt3Up46KTgzZfHCqTKvXS1yYbaEpxxGBwUDTkrZyeYnC66g4JCNlzmiL3W1e5F7A9+28sZS36NQfWvUtnR6PefWSR/krhNSa6R84ckSKw0H3Lx6Inr05A+gKBvyyzcS8I0JZn8QeeMkTk5RolgzUFa8/8EOn3+uy2rbIVIaP+nRI5F/1oLrLJB7DNvwrXde+87eX/Z3j/7CQ22o9JD7tyj8rs3mIZ+PvNfnnUdWOT25xgunHM5MuTx3rsRCzQGl0VJh5eK4XqPOUpkGv1dtWhelmX6p19UwUja0GyVeO6f6eUKSH8uecfRs+CNOLKQapuVnBYHUSIYrBQ5tLtLpZumlfv6VCwwPDu34+rPP/uTJU5PYwiGsG/yoyx37m4wNWAyVFGHk9PUmPTNMhMDWCeVCzGAlYKDkUywE+dR73BfcCJkipCExhvklwVprvZVrWwnnrim++opDisNqy+a54yVqHZda06Xgyix7tw1FK8mAbZOZ79j5iFlvtMzqObGuG773uWGPE26o0lgqfUP03mA3sYGaaJV1Lq9OCi5MuaQ4CKmzA1Z7upkNkXvd32+D0GrjuZSsV6HWy3Y5wDYeaptmc5VxosFoDmwP2b2py+o5jzSxsyieiA1iNLPh/c2G2mT2Zlnk3igNMCSJxEpM/6To9R0k0630FlzUt9Kz8AMHzykwPtBlz0TAAzdFtLo+T59ostoSpELytZc8zl9zUFqCVEglqbcVc0saY3pTSJkzgMinkwqepOpmNiLRhZiSl2DlZZBskWU6lVoHoiShUonYNBRwx4EIP/DwfUHFPsOubRM/ObHjLa8HzbOT2nVikrQ7vmsienju0gpTi+Os1ATdIGJlJWKtG3H0UIOHj4TcfbOh49uZrVqu5VYyxbGyechSscNSPeEzT2v8MEs06FUUJPiR4omXHK5NK5TO/lIqyUrLYnLRIRaZuaQtFQULto1kkzgFK81ORbPoT7e7+YBCxr9zo/ici/ci9vqJBr2qjelbuqkNddjekd79BFel+ZR+gtYRls52mC+/UOTisge2hcjpidXrXL6hciL4VruIb0dT0jcknNdpU5J1Lh6Gml3DIe++q8PLZ4qQhsRJzsWTnKYI0Y+Ifclq32zIkMqsuaTykq5SgkSZPLE168Y9PZDnB1ElcW6CGimCUOE6Gj+waHcdHCui4EYMFEM+cF+UHz0e8f6jEfV2FsgQICzB5WnFky/ZBFGmGiVvhikF7VDxjVeLTK54LLuaQiOjmFJm6zOT+WYHBR/c5fPOuwOOHtC0WiUKdoGOL1muJ7x2epHd++OHh8Y6441WNKldW1Iugh+4tH2bm/c0cC2bakFSa1p887jkU9+weeZ0yMRoQhga0jghSWLiJCXNa61KWVj2APW25vykSxIrRH+cReTnrUMzyHYAIQSKrAWvlWCgmCWBtswaR47KLcZ60lUt+rOTPb7t2rkK0Fb5WTT54VQbKEkP0NcLg3qRPKcoucC/54LVs57QKkbLGM8LeeG85Pe/WcTvOlDQmTRW9DqXpn8WkLwuam/QonwLur8N/zYbGz7yOhltFGkqJc0HHujy6PNtXjpvY4o2QWoRpGAlor/ty1QgevW0vCmRGkiV6fcMlASVQKwMOm8aJbrnyy7zQeiejXUWwcM4zY17Uhxb51Uui3a31ytIULkfzUAxYbSS7965nnzHgOHufX1NaP/vlUqJYsPZt/rUO5mTglISkyefSZwl23F+isTWkZRto5qXTpd54liRtaZhoBTgujHVQgFbe9RaCr+r0W0/RumIpm+4vFDk4qxksNxiYizbZssFw0S5hA40C9fyUk5s6MaGTihox5nNGmTRwxbgSYFyvn0VYdBhPaURoFhPQHvtdiuvidt6w8RNnjA6+fSNndMRpz9uRl8k1auK9LQR4jpbt5zz9SbUZZpH8/WkV+t1jxXbignDhMee9zhzrQCWRkiF00vuxPWqvusi+UYOvuGzWOe5652fbxvBN3Q141QTRpqD22LeeXeb41cLBJFDLDV+KrFT0CnopEdVcj6e9Hh43kzqa1d6s689GYQgig12kvbdfeOk5xgrspMbIkkUCYIoxQkzSphZO6/vfCovGiiV9ocl6D9vcZ29RG8B9p7PnokULROETHPerQjCbLcIwiwXSZLsc1peNTS7AWOjdUbHYMdownBRU6sn2DpAmBAlQvQnf++zCKFI4yaDBWh1FIFf4fXTWUSpeILDOzOQCZFxszgGP0xpdlKafpqVcYy5zgTz2z7Qjdvxdb/gxtPQeuW89XZ7D+TZrXJwC+yNY2V548G2zTqX7rmwbvhQe7V5pdZBrjc8FKXyxDKP4I4dcnpK8NhzBTq+AyUblUdvqyd46jVY4Pr7W8L39WKr7LPJNSl9unK9+CpNFUmakCYqm4QvR7zz7oDPP9Xl+FUXoy26wsIWWbPJSkHm90bKZIxB9ooq/eaTuE4FqFUGZjs2mT97vC6XjSxBGIvMVD8SBJbMu8wmm+3UeT9D5ie4ifX2+8aE+jotzIbTOWXuDizzMztTkzWaGm2Lekvhh4IoWu9a25ahWvK4e39EkgoabUkYdekmglOnX2Nx/mI2ijdanSeMFVtHOnQmfE5cdrhph0MYeKSG/gSM1iY/rTdLMFsdxZU5ycJyTBCtb329ktjGiZC0N2DbOyEgt2lLN3SlBBuOG5EC1etKWuuNm+umbiw2WKjlkzf53GT/wNOe9BPRtxTrN6A2aph72mWZcr07VkRiYr70nMvTpwpZii8UTm9y5w2J5bebwfwDKcoGyWy6EdwpGwRYG6J4qkhSTbdrcf+NHd59b5vT1zzixCKVmm4qcZN8+in3895YVTEyqyVfZ1uR7yG9I14snftJ5pP8UZwSxyr3NpG5BZsgtES+W4p8x5R5HpPTwQ07xEZZQN+uLv+6R8/6ZeV+3mLAZAdazS4Lrs7FtDq585noaZxkridySFJBmPjctKfFa5cUQq2xb2sdPzToerNEnCjmgYIOGKsqbCdhbKjRP9N8XcSerUpHJ1ydt/AnK1iWxHN7mu3rGxx9Qc+G0wF6ZjBp3nrt114FKCFy2WXWyrVzDYmdK/8cS+YTN2/0KcmdpvJXK7d0k/mRGWkiiOLM4TRJ5fqiEvS30Y0RXMkEpWJsK+T4pOBTT5QAC+R6adDqWVts2LG+Lcg3hsxvpeEbSoaC69r2RlxnKxEnCp1kXNSkiu9+yOfx531eueJgVEyYWnRTsNMsiidptrtcVxokK7VFiSDMB0UgH/GTmRbHyTUmUWxwYpG/SiJ7/TS1sLebRiKP4NdLLjbumr0GTm8yKE56M6i9fMNsdOvrSzt6ZUXP6VLrNLm8oNFaZqKyN1SvlBRUC7BQK6O0ZNOgx2BBU7AMeut4iziVDHgdZJJyYdbi1LWYOAmJk6QvEeyfXKYlJVfRbAgCP2HriKZSyDxE9Eafuo1jZflhUnFsiOMsoYjTNBdnrUe6Xr20ZxPcE0r1KUoObNfq2aeluctUfsJCfnKDbcV4TnaDIQwtVhse9bbdL8/1eOH6ZEqaAVtmSaZlxcRJwpMvO5y85IFtg7T6c5d6Q1du/Si+dYnsG4G9XiQUG9C9rgvnOp12TlESSaJyW2KVgVwlmiC0uWG3z1uOZlHcT2xSpQmMJEozqwYr3y3Nde+fff9WIFhqCbpxtgJd21CyM0tlN/98e8c4ZpEcnMQQRdkumQULQaQFgRaZZ4teHzLpTQXBumNwnIj+94x7zsJp2i9H9gAuc0WobUmqJdgxYRgfS1hpRhS8BKVzni8ycwyDII4sotBlaa3A6WuCyMQkpITZaF+mpwhCC2kSdm9KabUV52bLdEPTL2NBViHQKqs7j1QEuzZJhiqKcjEr3Vk6j/L9ldvLwMnHnsiz8Mz+K05M5ijb42F9gU7vPMtekkkulc1utw/uBCc/m9K1I1wnxHNCqqUufhAytZSiFASRB4lDFCnCWPZPKkOtR/Cek1bmTptZwl2eh996tEQQ21CwUUr2zSmvj97rJwWvJ5fiWxLNN0bv9WSTDVv5hlq0ub6rqdKs8RNGFkUn5Aff2eFLT3c5P+dglEUkLaI8eicbwb0hKiIETpowWuiSJCFKCa4ueqyuuZQLkoptKFqGgpUS2RnQnTjNnqNl8oTTENmSKBexRbn+R+XqULXhTNAM3D1n2cxZOIqyw2uz832y/khfDyOz5+86Aj9QRJHH5lGbA5tCPCdG6ySXBK/THj/QnJmSXJyR2CrBsy3i1MaQov/iRx4eO/nqtX/48c+doOgINg002TbiUbDK/SHQ3olZkA8y2NlZNaUCVIomN8RMsK0sEvZWbnbOjiCMspk+P5R0uoJ2V+J3BWG0Lq/N6qG5o6wWfdVfptUmpx/5AIWdSWezA6Qyb27PCakUOzhuh6deN3z+WZeXzwyiHYuSq3nwxgI7xxxs2+DaSS6o7+ULpt9Z7Zl4Ribi977p8fql/GhlqfueK3pjcvkHWLRdh+o3RPON1OR6bfjG7uYGbXivqylTYqXQiSbwbW7Z4/Ohh1r/L3P/HWfHfZ53w9/p/dTti14JsBNsokRSJK1idcm23OSmKMkb53HyxHbk+HGLu+SSOLbcLcvqXWxq7L2TYEEhAKL37bunTp/3j9/MnLOU5F4yn8/hggvgYIG95p77d99X4Q8/Z9JPdZJUVHErX+hk2YBlqKnCc1HTZHZNpbz28h4Vu4Nl+zz1ssqdj3s8/HyNjmZRtWWqCYRJhhVThk4Z+Tw81oT1dVREhA/FE6oFS1AeADyMisS4pLRMDmNx88SxuAGSjPI8oKmJMEA1Y5ZbKjOLMrZpYejiKSFJgxYXRCFc7AZ045h1YykNt4c5eukvaN72f68eeqldXVpK32TJGd2Oy6KcMdGU2LkpwjIywkjkXIaRsAQTj48UywhxrQTHEjRWzw7RtQhFTgCJOFXo9nV6fWH46IcKfqDS6qnIK2qZkpam0qpHk6oM2H6Dyj3UjuS8cEuPMI0oT0jzqVa6zC37PPCUzu9+ZpSTCxV0yaBpgVLLOH1Ow1RVRqqCRqCraf5UykoagawkJWXgyDmJLzzogmyALFQ7hszA2EfKvs328lWHy+/cfn+bXlxaBfTBoXNo6aPkI0NZRU50jCTmva/vcfvDfQ6cNUgVjTDViYekaSD6VF0Fy5RoVFTWjGjUTJio61S8Lltu6nLLZQv83md73PtClZmFKj1Xp6ZleHqGHRci7wwjzogTCT0R2oBYE3TZuKDNKnJJhRVTN8EQ7PQSltoxnX5GPxQ5nr1IohVIdAPRspKJ6q+rMhULqkaGa0Y4pljs6ZoogFkmRtXtvvA8tAyJZkVm1DGoWxmLywFjTvAmWz9XVR/cnbGwmPHS8ZQo7SKfjbEsCcMUz9BLNgbccLGOHxiQSXnOjeBmJGmEqgScX4r467tN5JwKKaRYMW+9psWF61XCyCKINNJEYaFl0Op6JIkmJiclP/zVPO1sYLhTBj0VaQp59J8R4Nh9VLXL5+6V+NxDdfYdabASOoxYMiNOQtOB0aqYlYd5FGGSyGUqQVm9JdGDq0pMpsR8/XGTA0ds0Iu1vISVg1sdeuQrw+3Jq/rdvxPcWXnEGcjYkFa3KnnMSSynyLFS3oxKnOAHOts39XjrdR2OftEmTA3idNCmFA+JUgySc+X9SOXUjE0QydS6GvWKwVi1w2/8+x4/cOwsn3+wzaceGGMmsumnIpIwSlPRauaJHHECsSrskXVNysl3ck43HkStiO+xRJwmnFpImW/LxJlMLwY/iblwY4u3XdsRgVWZJFpcBb7wgMvJeRO5q5HFCq4m/CT1fHXfjVJuvHyZizbEZJmEbYjVviypLLds1q7vU632UDdPZ0zXI1y67D1qcnrWpdcbfHc6HYvXXHSeresCTs4qvHhEETmTZsoXH7A5eLJOlGnMLGjYqoyW+5eEacbtj/d52zVz/MwPzFE1FR7da3LkrMWze1TWj0i5XYOcPxXIrZLziO2ycidDLUlUtiS26eNYPZB7/NkdBv/nc6PM9Wt4lsa0l1E3E6p2RtUVwa2GJqNIUq4bKUAppkKynOXhtDGGFnFyBv70jiq+bIKioynCmdZQslXhsqVfy6sH4P+oq5BsFcCXSDKQkzzJIVWI0ww5kZFjteT42ErMf3xHn1sf6XF0xiBRDIJUIc4kkmyQmFF8aWkmaKftnoym6fmfKVImqq7OtTs6XLSlRaMS8ue3j7LS9fANnSCR8YpszDTfeGrZwEioCOvNF0oaYh2va+BYMpds6+PU2rwyI/PcHhNTj/ngDy/w3bskVMkRGlQpy/0oI26+qEuSLXPwFHzhQQvDUFE1mZcOG8zM6kyOJ1xzgU7DreTWfylZlnFqPuPp/RmXpirTEyrqC8c1VpY16MH33Ryw1NLyqD6xMl077rOwkvDnX7M4MWvz3MsWpqagqwqmKgKNajpMTEi5HZqYX0uyxHxX5sHnOpydj5BVk/teGKGiW+yckOg6Caoql0p4XRPgNrXV0xGjjOgTwDaNAM/xsawuzx1M+PM7K9zzXJOlsELDk2kaKRUzwzMzPFvCNUUqcTHlKdfZ0mB9r8pJ+Q/bC2M++lWHs/MWqAaKomIrYOUeh6VZ0VCGzaqNbfYtmP32V7HKX9XLZIO2PBM88VQWAJJjGVlSiCj66hQ5Tgkjg6lmzAfe1uZDn7JoxSaBInzai6SFNBM9rrAzTglChV4go/fUfLdBeZgVQFf56e/pcsnGs/zlHTUeP9AkiC2CVKaaiESOIl9JvCDVIM3Skv0n5bNqRQbXyvBsi598ewfHWeDRlxI0I2bLGo3T59exuFJBlgrxSd6G5t/3yzdFXLM9zG2zA545KHFqLuOLD9f4m6/XWDuioavg597ji92Yq7YusWu7T6MRom4YjVhUUw4fcnj2QMbFW5bYuCbkgecN2isKK1HA1x5vcvikS8ORuGQq99QuBbuFI5RcmlhahkgE3jjdY8emLu/9zQrHzowxVVeYrqY4xoAvXlRvQwOryI43iopdVG0hFbPMANfqk8k9HtkHv/pXTZ58uYnlmoy5EvWcSusUkdtlaKuIINE0sYwoljuqLFbDhaDYMkM+eZfKX36lSpBZyIqOrUg4SprbLmeCQVh4uRS9d47PYe5eOd7NvhXo0rf7KA3vdl910CwSHPJ7QCoXOBmynKCqOv/hPT1eOdXiY9+wiDUNP5VFMnRKCcI4H/UFYUrPLyIJ1TJ/fjhSpWIr/MDNHTZNLfDrfxXzxKE6iz2XwFCppXlwWMogQCzLSIsnEGLKoalZubXu9VVmFquMofDWa5c4OhPx3v85yYUTHpvGFWxL9NKCZzS0vNPSVU/yyVrEjrU+G8d87nhqhaaX4fcTnn3eZKRmcNU2FUsxOTun0otl1GPnEs7Ppew7IbNhXOX0gk0cKzx3QKPdN3CsGqMuXLulaPQHQgK92DJqudWwBpYJrpUwVg/ZsmaJ+V6KpHiMVhQm3JS6DbYpD35vPikpgG3pCZaZ5K1InIM7wDF9KpUuCysBf3yryR2PNXn5XA2volM3MmpGKqL/DMETF+AeRP8VyyFNzWmyxZpeFZMTU49YasXc9lCV5dgGXaSReblhvjFcvZVhPsdg7j889it77BLjGYVHSVnAh6YuMqxekuU8brGMGeJpl3uDDIaWVI6Z8K7Xd7jtCY+lvomvGASKNIjczo3oo0joHf1Azl0O5NzuTZwBRHaQUGVFicKlm7r8/n9tccfjff74K03OLdUIHV0kG+f5SoWnStFeiYlYShQnYooWSnT6Cstto1znh0GGoUY89UpCq50yViX/fsklx2hgzFQIxCmXe1U34sdu8ak4fbq+xKbplCCMUUkYrfbZtq6P4/qomyZUqpoC3QjTyJhfrNL3Za7aJip1cfBT1YHdgzp0GNSGphy2keA5ESPVPpLc4cDZHn94R4PWis2kl1JzwLMlnKGqauiZqNx55rtlJNhmhGUI723LCHAsH1Pvsu9kzMe+7vIXd46B5FJ3B9F/roFISDOKuG1JVG9TUGrNIRNNrQhX1URbomkRluNz6xMaz7zskco2uqriqZlIg8hN8wvNoSKvHgUKtfqAkpCVva+0GpXfpoxLsqjexVa1nKnnJTtLJeIsQ0qUso0Y5vKIOb5QQ119QZ+37mrxqbsdfF2jn0jYiYSRHw5F9HYmEtuCJE9NLqyXxfu9WlWUJArrxrr8v9/TxTXm+MQ3Ql44XWcxtYlSmWqalRQMip2GVATySmhqSi9Q0PsyuqqVUsVmLeGXf7TNR26XOXquwskFjTEvwbMSbEPYWwvfmoHth6pSTmo01chf1TzDKSOTUmZaAYutFNmxqNVMVMeMybyQ8XoAssLmyYSaGwtmmCL8NpJEphfIJZmqsHQw9ISKE2Nqoo2QpJAoCTlyLubWxzWeOjDC3KLHGg9GXKg6Eq6t4FhqDj4BSssUN4dtxthmhG2G5UGy6vWwzC6fukflr24b4ZmTDVTDpmpI1PQUV8+rtiFcb21TxjIlLFPJsy1FcOsgoSEtqZ26KkwhbSPg2LmET9xVY6bnopo6ngquJtLXikQITR1sLYWWMgdEDrY0zTnX6YCiUBCKhlvygk05kPTllNvCGSt/OoAQHGSJeA85kYiVLOdzSHkQrvBCUYKUmhPzI2/q8vi+FkeXdLqKgRNLmPnMWYvFTDpQc5s2Rc7pFXJ5CP1WbrqYw7uWyo+8scsVFy7w57f5fOruUZYij8hRcsV78QTLBk8lqaA+5MoeRUGS9fJptWszfOjfLfPUoTa3P1bh6GmHaElFRcbO29aKnWBpOVcmn1xlyPQCcYguwspURabmpdRrEmGoM97WUE0Vde1YSM8JwA/o+BKy2mU5ylASQX9MUgnHSLnmopgkEam6iiKSfftBwrOHBFleNxIOn5G551mbc0tVTs/YVA2FjfWMhgMVR0TPebaKayu4NrhWimMl4mWKMCfbLF59al6XswsBX3ta5yNfGuXo+RqWq1M3EFVbz6P/cnBbRg5uQ8Ey1DKV2Cx6+yJfJ8+21HOhRkbAX37Z5tEXa6CZOKpERcurdx5SZWiUblzkh7YoysqDXAFIOR/RKaXnSVYa7gwMYxiq2MNm9gMvP1kSjDohNhC0VSTxBInVtCQrDUe+9JSY11zc4T98zxK/8lGbfqjRVWXMWKzTNUWEWZU+hDlfR85trCkBvpoyUDjfurbC5Zu7/PKPdKg7MV97MuDoXJ3E1gVvJktLkBdk4FLdJIMkyWSZQpZpQiUUK4zWNb7vtR2u2bbM7MoSdz1rcPiMgaGLQIDdBwxCX0XTZNTcoDJNQy7Z5uMaopDIudtZL9MJWgYLSwmV0YQ+KereYybtFZuTxz2QVJ45HHJ+SaHmKBiqiNpOCNi2YZk06oMsI8syuq7S6hk8ucckiBUMVZzAez0Vz5TY0oSaneFa4Fkyjq3gWqvB7Voprl0siyIcM8AyAzy7T63aYf+JiF//aIX7X2rSSVwqFZW6nudaGkLJbZXRfzJmDm7TEFxxK48fMYtkYq2I3RbiZl2PcOw+j+yBOx73CBIHy1JLcFs6WHkCm1E8LnN34iDKBEc6Fn2y2IwW+kIpf2wPeudXHzDLsK2CJqwM2VVoYquapjJRJNPPo68lyM2QEvHeZS8/iPizrIh3vsbnnsdb3PeiRUc3seScFBUNaLFKHjM+IMnlZPZXHXKzdJi6KwzzRyoKv/zjfW7cdZ5f+2jMS8caKFR6OwAAd2lJREFUJI5JkskC5OW7pPlfOB5aYskkqRARB5FMt69ScWwqbsBU3WfzeEyU+IKHn6Q8+pJG15fEv0l+48exxLYplyRxSFMZTU2oVfrMLXZ59kAdvy5xxWYYHUlRPVvGkKBdCXjsZZkwdLl0rUzdU7BNkcl+Zgn+5u4mkqxgaxK2KmGqgtaqSxKWKoSvugNWXbDSTA0sY9AL25aKY8k4VgHuBNeKcWzhe+JY4iDpOX2SrMvtj2Z89KsN7n9hBHSbui1R0/I0Yn0AbrMAtyGJA6VeRG6DaYj+3jJEj2/k633DiDD0EMf06fkhX3/S5uBcBcU08FSwNWFsY2qZyKXP09fKg48ieNGzrYSZLqiShKlmZFmac82F+CBNs6H1+wDm0ipwFxYLgsduaEXgVowsZ0Sxw9wZiyh3lRUkM4k0Tcgp+GUFV5SETtdi3UjEd1/b5plDNp1Aoy0rGGGRSV8Qy3K7ZCnJD7aKuF1yAfK382sZfnmOypt3dXG1Of7iawEPPN9kvucR5yAvck/FYTklzWLBKE0U4lghjBT8QKLbF5xvc8UaPF3VlDgSi7frd6alL42hi++bpgZ86huTnJ11sQwhPG9UPaZHe2xf1+OB3RbzyyqWpaKuHV8h6C2jxV0mmhZpFlN1Yzw7ZqkDcRrz0kMJnlFh2lPwzMKHpFDeFLHSA48LNae66roswJYf+hwzwzGH2pJ8ze9Y4iBZdTskWY+/vF3j9z43QjeqotomdV20JI6eYWuDwFahzcwPkYaCYQzAbeUV3jQGOZtFrryRh0cpis/ffEPjL++sg2Lh6hJe3neXGlBNGrQ/hoxlihu1Xkl47a5FvvBYwkPPNxn3RBUU8SkZaSKRqkXVWn3IHBZEFD134ehl6CLIdqTW4aGXEm590KBmxFQ98efapoKdpAMCXCGZK0afSoKuWXzgbR2OzizxV1+3aEcullK0KQN6rFhSpSUfP5/l5CcE+VVyuiEPxRzwdqTwmgu7XLljmd/7fMSf3Zoy3/VEhc4y0sK1NhWJ1kmalUuiMFLwQxnLz0Xj2oBqW4xcldL9oNiNxLh2yFh9hVp9kbufBymB5ZaCY8lUHJMUk/PLXZqTIYkeox44UWFxMeLQoTHGR2KqzhK9MGS+nXDrIxYHTnuYsspl0zINT1Rj0xCbwcJkUaLg/IrpgSSLaYueB6sKwKU4ZoptJjhWjG1FOKYAt+f0sMwei/0+n7vH5Dc+M06ceTi2Rk0XfAhHL6pqITyW8mzLPI04TyQWlZuyapt6glUQs/QB69Cx+pxfDLnz8QZdv4JZ0crqLf6M4ukg8uotU8GxFFxbpu7BmrGECzYktPwlHnhRZ8GvoCsiZkTP04GLrMpyJT9UwVdz0fN4clXcgJ7dR5Lb3PV8nSdeNrl4KsojRzTSVCHL5FVpFrJUSMVUVEWn2zdp1kPeeV2Pu55ocWRep6UYwu5NGTrIlkr8FEkq7M7kPCEtT0v+NsAuhNAFT92zVf7HD3bJknN8/u6Qk90aQWwQpTJRDugoSXPhsoj09o0EP1To5fsTVZVRJNG/C2/CvIdXiieX6CZcO2Fu2WLHmg6/+YEVjpyJufURC0XVyCSNuqVw8XrYvglqVVDrFY0sVnEtWFi2OXnGJU6g54ORZVy+NsM2ZDxbzluMwqpBtCKKIob5QSjTC8hjTAZMQFMfHv8JaqttRvmBMqDi9FDULs8cSPjdz9Z58nCDTHKpWTI1PcPVh6K2NQbA1mQMQ8rDWkXPLQ6UlGPH8qXHGMOUWj0gzXzu3a3zwN4aim2UUxOrzOcZBMSK6q1gmwqulVFxxN9DQuaNuxJue3SZR/Y79AwFO+dqJMUUZVieN0QHH1RvAbLCrkLXIjzb58mDcP8zHqQy/TCh3RWbQUH4l1EKByolQ5HVIU/uFFUxaHcsXndRm5t3tTh9r0U3UjFk0V6VFhO5r7jovZPyi8xQhiYpkKVKqbRPkiK8tkiHU8oD6P/7fT1ev+s8H/6MzzMHmpzr2gSpLMA9PKqMEsx84VT42Kh5AFMUibjvIBKHFyWXLRbFTBQZC882sS3BIbr5koyeL8QUrX5Ku5MQRDpRZqI2GhtXlleSuxpV5R0TzS7zLRNNTvEDnW5fCAQEPTbDs1OqjojStvO8eE2LkKSU5Y7JKydqdPpqztYb5LqLNbsAhZVPSTxHTElOzwV8/l6dTz/Y5NDJBoZjMOJAJe+3LT2P29aHVPXacMy2kldxRE9uZFhGVt5Ulh4PbURDTD3Atvs8vgd+51NNEsnB02Q8TSRPGJpI8S3EzcN59ZYBtinGmoaekAFjNYl3X9/lgZcigkTJk5uzvP8e6C2zV500Bwb5WSm4GIA85NZHTE4u6qytQhCBH2b0g6R0bxWefzl7T85QFCVPhtZyuwsTQ4v44Pu6HDq7zCMvGrRkG12RVhvn5/GNoj1Jhg6ZyipT0CQd7selIVFyIVBWcW2VGy7uMv1Ti3z2oT6fubvJyZkaXVujHkM1TnGiDD/MsMIUX89p0PnMW5El2v2Uw+dCVnriRtNUBUsDRxe9dsWWcG2xLTc0mTRT6IcRfhShKinnVxQ2jNuM1Bt3rV+3eUW9797PzyaZ/JuOIb/j9FzKoTMpUSAzVpPZvjZjtB5RrwS4ZgBSRDeI8dyAU3MZD7+sIclQsxJMJaPTr6Grg7m2WYgR8pvB1EV18pw+rZ7PN57O+Mx9Fb75WANfdqhU1bIlGRz0BlV7oKgvtl0FyEXPbehp3nfnrUnOFzfzP9vQQ0zDZ2Y55K++XuH4TAWjaE3KlAeGBM5DAVW6hGlkZShs4c5VgJQ0IczVNMO+2wIsg/2mNNzl5sLc0spMznIBdEya6WTIeR6RRBAJkpShpfkcWxmY+ysyqqqUB1VV1VDDhG7fYs1oxL9/a4tjpyxOd1RakZ57uQw8xUXc3wDk4qbM8pGenLefct5L5wqtpCBYyTngRSUPQ5V1oz1+7gd6XLruPJ+9v8fDL9c5t+LQNhWqJmIKFhbFKytbTsuQcCyFzetiTKOHZQlm4Z4jKmdmDdxE4fiCgpTJOIZMw5UYq8K2dSkjzYx+lKCcBNu0OHjohd/cu//5WdXQxJoijiU0SeLyjSlxojM1ErB1XYuljs/LZyQsK+HEDDzyooFjOywsq5w8q2NqCmOezPoxlW3rVKbHEqpOhGsLQxjLjLDNANcWUxI/9LnzCYm7nza45/ka51YqWJbOqC5RzQ+S1nAfnNtCFCAztCJqO7eM0ETVNrQsB2Aq1v0Fn2WV2sdHt3t88is6tz9aR3IsHEXG1ZLSCljPvVhKA8+CY1PQNYcSj2U5X8LnK8zyMPYdKvd34l5Jw5x0ORUHv/y940w8esXjXSihwihFU2UCTUKLCmlfJjZ8oYKmqGiKRqDodNsW73xtmwMnFvmdT5r0ZAVVVoT+NTfqLGbWYmUllVOfYsY/7HgVJwWgJTFCLjxUYgHwKBb2DrZp8PbXdLn2oiXuf6HN3U97fPPpBqeXLCxDxTOhmregji7GybIs0agpXLWhyoYJjWath2n4HD/fZ67Vx7ZjHnlR4+R5HduSOHpa49gRm8W+xnRDpZ9ZGGqCIst0+gppmqHOLIuTsywpWJrOpmbAibk+dzyr4eyXOT9ncvCEjmkI0W6vq2DpMhVTYsekeGTUXJWxhspILaXmRtSrPhVHvOpejyTzmV+JefKAzKfvcXhin8v5FQ9ZNmh6MhUtE1tDPc1BTTmWK0At+C5KWb1FvjwlKccw0qGFTlyqfcrWxAiwjB6PvAgfv6dGkDlYqoKX5wYZpcAir9qqnMvlCl7E0Ko/NwpS5KRc1pST31eJfAf2EKyu4tKrX8XMb2A/QZYJ5l6a80hyX74wyukGkUKoSgQFlUKRCVVFVHhVRVV11FCMHX/kDX2e3LPIfftUOrKDJskoUjpEDRjQdbPC/SBN8ujBwr6iqNoD8XDpm5Ivo0qbiVj4uHiOz/dd3+fmS5d412vbfPIel5dOOMws2SyvmLiuQtNKCRMxN9e1iGOndbo9j0bFoeLG1NyIi9aK7fa6ekKUCr/4AycDTs5GeFbGkVMqszMeI2MJdU/CsQXTUV0zGqIpEsvdiIOnZE7NeqhyQmdZ5uQpETc34QptpKlJWJOiPzXzsZnryNRcaFYTRmoBo7U+zVqHmtdmuRtwx5MSe44b3P9kg9muxeklE1XR8BwBbCcfyw0vVMrFSlm1lZI7XmZZluBOh9T1iZh366srt6EH2GafMAn4rY83ODYzNPNeVbnzDKHCZ1yTy2RkXaX0EVdVsYKW5UEiMN82xG4Y3Ks+8+0rebH1LPISc4ALVqDQMIZxhpEU4m0pd1kVobaRkhGqMpqqiJZFVdFUjW7PZM1oxP/3Y8s8+f9ZdAKVFclEkWQR1ppz4wtwZ1k6mJqUY75M2DkXjleJnIvIX+WAFcu5KFkljBSCSMMyDFwz4LuvDtm1rctSr8VdTxnsO2bw8B6Pk4sey7ZGP8qIk4QwCmh1Vaqugmsb2KaRP6VTbDPF0lO6WsJ4RQhaFlqwdhQ2jqckRMwsm5xfVkRI7UVbPSRZJY5W2Dx1nk7PxDET5pYkXjxUQ5FVLJPSnb+ICTF1CTsf29S8mEYlYLTewbZa7D8R8qVHDfacqHPyrE0nUElTBU2RGXPBVDIsVRzqTLUAds5WVIulilyCerhqG9pQGpo+SEQr1/DG6nGgqQtOC/T5s9stXjhcJVNtbFXCyUlUIoBKgFjVBgBX1YH4ediVVlUGRkGynOaEKWmwpfzbeOCvBnX5nyG6bCblE5iUOCPnX0tCTZNLx6I4I44yIpXcrySPGIxl8YpUQjUlyEeHYWRy2eYuP/muJf7gKxpBqLAi6SjSIOqkWLMP+9ekWZqHYwm6beGXKAAuKnmcyMT6EMCToXzNWCWINHq+IdwOtASvGfPv3pwQRCHHzs2x7+QiX3ikyr5jVZZ9ncl+xko3pOqIqYltisKmqhKyrKJIoGpgGyAr8PyxgPPLGa4JC22JydE6I/UKURSj2lPfh+c6PPfCPr78za9T9zSqDuiqwoZJjUY1w7YEvTRJxZ0qyeL069kxFTeg5vbQtC4nZn0+eZ/FPbtH6PZsXF2mokJdz3KCUiq+uCEPDqOYWLxqQqLnADeGemA9H9/pq3jCaf7jBF1PMDWxqSwPlXqA4/Z44HmJj91epxW4GLaKlycTGGqGUZobDVKQVVUu05G1ItdTLei1hbFQSkaCH2oUq5IBav9+16BzKeRqAuCmnqFICWECUSrl4BIi3Sg35YkSOddKiggZEbSViQqupHm6mYYapahBjOfGvP+dPZ5/eYV7ntPpKzItSSnNmsTmUcpbFDHqTAo+eVp4Fhb+hVlp7SaAnZXtigB/AXCRNaSrSWnnBkWQbMrakYht0z5vvGKZe19o8Yl7qxw9V+F8R6NpZVTtCM8UT21ZGgT/qqqEbQhXh02jMtunk9zfss8VV1/I2vWXEPgdVEUxUBQTWdYZqcns2hYxUguQZRdFiai6XY6dj/ED2LZGRsKCDDwnRFX76HqfV87G3PGEwd3PTdJasRl1JdaPZti6sCrOstwxKRbfQCVPAiiBrRU2bEOgLsE9MPoZZFgODnu6mgwAriX5OjfCzMFtmT2Onk7401trHF12kQwdRxUKHbNMVBvEfZcpcGV4Fau444pSRLEIi+Uzc/D5+yzB0ZGGzdz/YVcpksgZfD9wS59vPBVwdDETXicp+cd8zp63KXHuOBXFhT2HcJ/SYkX06ooq1Eqqju8nrKnE/Md3tzg+p3P4vExHsldxUFLyQla0JUmWg1gETsWF2Lh8yYMWJYUoVvKvSxh2xrFMrMuEmiIKQibaqihWSDORj2QZMa4d8Paru7zuwhZ3725z++Meh0+7LPoauiRRtfKDsByzeV1AkmQcOGtRX5aRZYVYlZmqZuyYTlFlGUPXSRMNtciycUyRD/70QY0dayUa9T6HzvRZ6cFTezVkFD7w1pjrL/XRtR6LnT5fflzh9KLOA7tH6fcsRhxYP5XhWZmgrerCkSpJYLkds9xNS2W+oRYiCWkw0y4mJJos2hZ92A9lGNhZDuykjPrTtRhNTUq+gqEFuE6flV7Ib37c5fZH6mSmja3KuCW4GWRpFrmaxdgt36Bppb1yNvixkuRr8ZggzDi3oJUAl3Izyb+9XZFW/USpqqdYoihMNlJsLSJNs3wjONQm5Cr3uAB5WUWF/0wUZURqJvy84zRvVzRhaKQavPN1HTrhIh/8I43ZjkIHk2J6kmaQqFnpPhUlGXosWiFdFT13pEn5kyMdtCSJIg6bet6y5DdGYohDqZ6IyVOaSiy3NRZaCkkiVFa2keFaFvNLDo1qn/e8psubrujwwIttTi3qfP3JKieWbRxF5oZLMj7w9gDkiEf2RXR68Mpxl9GKzo71AUmc0g3y2XysoFZtFdO0ZzZNcM9VF1lvOLOwiGHH3PmExumZKo6us3NKYXpUpmIFONY5Hnu5z0du99h/TFgzTNcytkxleJaEZyu4llhr25aEbYJtxDy2H7qLEq4hrJCL2Wep4NDlfCsp5drMvMce6rMHVVuAWlSmZCiJOMqjtkMs0wfF5+tPa9y/u0Km2KiaiqsKi0G94DkMqflXRRzm1Vstf64Ad+FCmyDLCbKRoGoyEsq3lbB92xAqhg6emQB3MWIUSWjCxTUNE0gTglQWvW6uhYyHJGiDnjyv4jFDP87bhERBjVRURcMPDDQt5qbL+7z1mhU+fY9KGEp0MUgzMfqz0oxYyYiSDC2RCJUMPckIE9DjDD3J318bnAuSOCPW5SHrZUofwuHISduMOD2X8PxBS7A1TbEhdy2x8l9s6VRcm7oX8M5rO2hahzdcfp7/c1uVp/Y0aLVt7nvSY3os5bK1AZbVZ/uaPvfsjjm77IM0walZ+54Ld9ozfhiiTq/dyL13f/aEphkfmRoff8PswjL7jtTZOCJz+QbR4I/UUqbHOmj6Cl9+POELD45w7HSFrSMw4qZ4lljVuo6CZyt4toTniJX2WD1k3cQST5/UWOq5eKYwbbQMKRcjKDkLcLCNLMUJJYd7EK09iNQuAqsKo3rhZyJYZwGy6vO1xxQ+/PEaZ5YcJFvHUmQsJS2nJmUyWxEpnm8JNaX43FASnFqQmXI3WjUFEg6fUljpa8iKtMon5dWg/rbuVkMytDLlIRM9rGtJbFoX8vJ8TJhoxGXbQFkdxcd0VcUUN0ABblHFoyglUvLJRqzR6xtMViN+7kdbtHyFOx4X9shdBH/ETyXs3EVAj/Pw11hI9nS1+FyGHkulf2FUTHeSLN9uFhwWQdqSJfE9rboB3bjHvS+OsGFEYawKni3w49kKrqNRsVUWHZ25JYtG1WPbRJufflefz9bneelghZndFmuaKqNVE9syqHkJl62LOD0H02vW4pn+R+576MET3/Pu7xEZPaYa5k17gGfHbJ728cOI/Sdd3r4jBbnNs0ciHtmjc+z0GLaqsWtdRtWR8Gwt53jLeI5ExUmpODFVN2S80UdRWuw/43Po5DhWPmc2dXJmniJehpx/bsDdNnKNpuBvF5GCeaR2Xr1VJS4ZdIoSo8oJmhpiWQGnFxM+dofHoeMueCaqomAreRKYXLQbQ+nKZfWWB1mP6nAqRDo0PRESsSSNeehZg4VFHd0rGJWrfVJWO8uudrcatmsbtpYOI4VmHW680ufBFyOC1BJb0kLNPqRqj5OiTy4OoLn7VCK9ai6tEMUKaiwqebdvsm19h594e4tn9+mcWJDISAgUgyhVRGR4nmKhR2LyZSoC7EZ+djHijDDKMDWJWM8nO3FaTluEib/gmStyhqHL+IHwON+2cZGj56rMtnWmqjFVOxEYshVcR8WzVDxHZbGlMb9sMlLr85/e0ubIFUs88lKHvUdc5lsG331tmwOnNfqBhm3ELHdilloxQRgDeQhVfewiHNviyNmE8wvH6PUhjm22TKas+Ct8/C6FmYUqaqaxsSnT9IT0zLUKYINnp1SciKob0az2Gam16YUdfu9LFo/tHUcKLdbUMpwhfrhtKtimlHNHspIBaOlD3O1SoBDlfXYe6ZeLFiRS0ixFIkWWhcay1Y35w895PPySB7aOpGiYsoSppGWmprrqVQA8j6Uu2pNVQbWv9hJPQEkIIhkyVfBCckPIV7clw+r5VS15TsRKYUhYIAhMkqRgaglSEhFJqRD55ir5AaiLvlwcNmN1uIKLl6YWvBEBcC1WiVWR3NbrGrzukj4/9QPL/MbfyCz7KWQxqaQSoBCmCj1JRtaE25ShiMpuqYh8zFhMoqJYtC9meR7IU69TIXAgE4tEVc1YbJtMjrj81vuXeWR/l9//YpOZ0w6TFYlRN6FqCxGMa8ml+mthRWFuSadZtVnT6PODN3U5f8UyH/u6x9FzFmtHFcI4wbVSrr16nIk1FxGF3QHAdXuK9Rsn7v3jTz/8YUlu/tz68RaSGvHsgYh7n3OIfIOL16iMVOVSEW8aEo6V4VoJFSei4kbUXJ96pUM/7PDFRxXufKrBoRMVaprCdD2j7klUctla0aM7Zg7ukr8S52v2fJadT0UMPUTXAkwjQtUi5pcyXjwi4VopWzbEVJwUKckI5JS/uMPlo7dW6GQGGDqqLIvqowzNsuWBTbNS5KwXsdPyq4GdjwiVLPcOF69OL2NmRQNFrL7VnFMy0CQWTrPfzhFIKpXzRYuSZoOql8YK49UY0wlp9QTAo6IHTwfju7gwsdQGh80C5IPWRVRxTZXLw1esqESRjmVFfOA9XWaXFf7o09BPI5RExrMzNm1JcC04cEJncdEgUnXauoquKjnFoVjUgRlnRHqWPz1E6yTGi4qg+Ao9Un5G8ZgckXnblS22TM7x1adW+NrTNWbO24w50LATKrYQIBcceNOQ0TUdx9QYrbtMjfb5iTf1ODnb4Zn9HnIG115UxdVmP7x92+Z7/c7MAOBbN03yP371t3qKpBzXTTi90OfEjEPk22ybUJkelZhoJnhuQJbK+KGaG7qIOXjV9TH0LlHW45u7JT7/QI39xys4msa6SsaIJ9qZiqMK6Zqt4JiS4IdbGbYhuCOWKRT1hQ+KEB/7mIZPGIf4ccInvmpwbtHk8GmdR57RqVZSrru8z5Xb+7zr9T7nF3Q+d59NO9LEabI0zUwHhj3fUsGFOmnQhxem8AOAC1FCks/ARXv08lGZe5+ykQw5t3MbSjkrjD2HK/pw773qJZUGPYXQt++r3HxNj52bfOZeigkSVczDyz6c0vMkLXNLsyGQZ4PxXSyRqAVvRBGvVHBH4kjFtSN+8JYuDz6jMzMv847X++zaFnHd5TG1Cjz0jM6R0wrnFjU+f79HNzJZ8m3amoajiWhvNxZ2xZGeDZ4yuUZAWCQruYBZJUok/FBhpKqzabzLz723zTuuPc9nHzR55KUqy8s2dlumYaWiopsJsgL9UPwbebbCRMNietRitB5xwyU+R88FZHKFY6eWjh/+5C/0fuBHf2sAcIAff+9bMAyLp55+iPsfXaHimFx2ccpks4um9Tg2m+JKPpZp4lpVKq6YkWtalz3HYr78mM6TL4/SD2zUVGVDDep2RsWW8By51GOKOzLDNtP8lavpjbgkZhXyNVXrc/BUwrlF+OS9VfaccDg3Z5FGGqksE0uwtJJy8h6fL93T4d5n2rhmxuFjupBgSwqyJOzkysDUwrSnqNzyUH66XFTvwu+66MEH/beajwcVJcZPJPqJhqwqeV7Pt5pxfqelz/Dce5UneB4+FScKnixjqzGkEWFqEuYEp3jIHzAp/r/ow5OiP5dI4owkb1EKcMdJMpCeZQppppBEMls2xvzXH+rgmSnfdVVIllpEgUMcKtxymcQbdyVEccS/e8sc+09IfPpeh7MLNvtPVOiEJhVdoWpmeLHglQgf8LR0pi0OvMI+W6Hvy/R8heWOTs1z2DTe4xd+oEv/e87z5EGFLz9SZe9hD7Oj0rSESxlagmEGyFbG7qMqe47rTNXhki3QdGUaI5dx6ZWvIwh84FUAt906hmFTdU0cM2S+ozHf6fPskZg4knjhlSprGqNctV3ihsvbeO4ix2Z9bn3c4KtPjhEGNg1LYq2TUbXFyNC1B6B2LCVvR3I+QcHXLqwijAjbEkYuitLj5FzMN5/W+PjddY6f85AUE0VVMDUJ0wI134j5icRSX0ENfN58VcBbb/CZWVZ5cLcBqsCXKmWoZdjoavvjEuiKnL9WRw4qQy1KmQChJIRRzK2POKSI1AdNGoSaFkFUZeLaq8bfw45Xq7NrBgp2odxRefeNfR58KcRPE4JEyb0BpTKMV1Tu4v/TksZasP3i0q1q8ONCQJzljraKkvHkCzo//5Eqb73B5/orU5Kux0rHIUpUQe2VxcRqtBLzxl0Bb722x7HzbT55zwp3PVXj8EyFTmTStOQc4GLMWPiAh1FKEAoVT99X6PZlOn2NVlel1dVYbhtUXIeq4/OWK7rccskSX3u6xVceq3DqvIusGNy4zWDXDpXpsQ4vHPUJ4i7Hz5tUqilnZiVkxWR8rE5PmGuuBrhlapiWcaTiuUcv3lzZdOhkmydeMomiCuNVjXdek7F5TcyaiQ6nFtr89b0Kj++fYGXFZsyDej3DNTMx0zSFil4o6SUcCxwzwTLSwfgv541YhvBB8Wyfqtfh1EzAFx7U+MrjIxw8VUORDSqejKuKBAIjPygWbUSawnlD4g1XRbzttRljTYkf/K4uj+2xCbNBwFUZJT2spCky1IvqPdSyFLrF8nBZtCZ5ZmYsJzx9wCSTNGFwM+RrMiRQ/xZbt28ZETLgjxfAKzJ50lTlym0+ehbRy2L8VF3dhxcHzaGt4wDwQ7ztodS24v3THNyyLFQ2n7vX5dy8x5cfqbB9bZs3XOqwuFIlzcgFFYMkaF0T4VxTDZ9fel+f73/9DLc/vsLnHmhw9GyVrqPRsDIqSSq8waMMI0RwhfqCq2+bMu2uQstSWLE1PFvFszUc28S1HKpuyDuv6XLDRT0efbnHPc9UeGiPy9FzBlumm2ycSlgz6rOm6bP3hMbsUp1LNfuoJOtHMqJvBfjo6BTPPHHHPa5rfub00sQvJrHPxRt1ppoao3Uf1+kx2wp57mjMlx6wOXXOZbousXmdIL1YucmObYqK7dpSbg+R4Fq5HZueR2TLGWquPzSNkKrTA6nLN59L+cw9Fe54ZATDtqi7MjUjw1YTTC2fwZa584I3Yugyu+oS33eTi6FkRL0Ob3lNlxsf9Llnd7X05iij/oasEgS4yU1pBgkF6tD2cph3UoBcVyP2nZbpBjqSoqJLEtqrcuqloY/f0qpkBcjzyj0MwGzgKBUnKrYhsWWNz7PHY0ItI0xk4jQpabRidT9khFn6BhZPg6ys6mnB6y7+XCRUJeXBF3S+/liVyPDo9nU+840KSVdlpGZi6knJfxdb4zSnRBh0eya2abNhrMcvva/DpRvP89l7e3zzxSbn2zaBrVCJU8xILNSKf1tTTbCNXJ9rFpYiCo6t4pgqtqljmyZn5xxqXsibL+twwXSPLzyYsNJWefKQyf6TOmMVk+kxGUWOuHFXBdOpfebBx56+5x3f/cZvBThAlJqYivWNbqi8vVlXLlWUAD8JePKgT8fPOHzSJAgNKobC9TvEMkL4xwnJkanL2Ca4dkbFjvGcmKoTUq/41Lw+uhYRJzLdvkaWSUJ/6PSRpA4fuU3jT2+fYN6v0mxo1I2MiiGiu83cm660jSsFzQoVR2H9pEyvX2FuGUZIqToh73xtn3ueSUut+Ko0tALoZQ9O+bHo04uDZdl35wslRY5RjJgHnjM4P2si6Uqe2ZMNngrDPfgwCevV/fdw9X5VokOSCibe1JjE63f1eP5QRGykucZxMIobKGwYquRDvXg6pLwp+/zBTaYoKbc/arLQs7FMg2kXKprKwRMavUCm6spYOVVVy4NzdbXwbI/p+QY9X6fdM7npsg7XXrjEn9zh84dfGWe24+FbghqRAh1fKO11VaLuSIw4GVUrxrOTcvtt5f6EuqqiqQqGrnP0tE2jGvL9N/iEsc/Lp/v0/Q5n50yWeyqGJlN1ohcrrvuNNO6u+rdeBfDrXvtG/vAjH3x87RjP7XvFuFSXA07NpkRxhbqns2VMwjSES5VrSdiW+IYGkfgmmoYYG3p2TNUNGG92cawOJ+dD7rzfIJMkxqsR33VZjCyruFYfWenwv75k8Ee3ThBEFSYdmaaV4pkpjjFQ0BcedUph5K4JIXDVVdA1wYkIQo0w0shSFVNLyh2xXFqkZYNW5VU9eNmaKMUj+VXz77z3NvSYuaWUh18yiTINRZHRh1oecQNJr6re0rdOUYqPhWK9qK45GItxHpnK9RcHfPIun5m+g6/KJbtw2Dl2VYsyXMELmVm6unoXAQBIGf1IIZU0PEXC0RI0NSOKElbaMlmmEkbFv39+hlEF4E1dxTJj/EBQYqNYpVFR+S/vaqNwjt/7UsZyr0JkKChqwhuuXWSyGpJJGfe/YLN/xqGia0zXUmp2nCeGCE6SJAmZniKDbUq4lk7F0bFMj5qRsHHEZ9t0wIlzCp4De06Ez3HiK4//fz/z298Z4ADjY5tQZIm9h49DJnHjJQm1SsDphZit05ClJq4VM1rvE6c+p2ct0tgjySQxNnRCmrUeo7UWpxYCPv6AyUMvjHJ+1sQzZC7bnHDZhj6TIz2CKOBPvmzwx3dMkiQVpqrQsBIquf2xsNQVwl8t3zAW4U6qIpVCYF0T4E2HeswkD30ZgHu452YwPZGlweFS/jaLnaHpiaYKT5WFGXjxgE2ialhlKBVlTLicHzBLoA+68VUKn1XR3Zk01FbktgyJShypXHpBwGjd53wrItQ1goRBL15yVAYsw2R4olK+J+XNkw6Z+5AnMEiSIoJzc61FGItcHVWRxWhYlfKRpygyhiZjGhm2qeBbKkGk5LQAhWZN4SfftYIkz/C/b9NIU5d1Htxyoc2lmzUcu8dbrmrx0J4Wtz/mse98hXFPZtzNqNoJtpnL/+hzch7C2GKiKuGZkBCxZU3I6XmDulNh/XhMxdXwrK0MXCL/FoBfesWbURUlPHLqK1js4ficxumFiJNzCjvWxWzbsEAn6PDN53XOnFfQgcu2wFg9ZqTWZ3q0Rctv8effVLnziTEWFm2qmsLmJozXVTZNqCy3FdaO9XjuMHzxvgZB4DFVgxE7HZrA5IStfJVv6KIyxgkEoaiMWp4KUXj7fbtQHFmSyjS0MjTq24FcpvQOXwVwtWhPxOFSlkNue9RkqWciyxpGnueoFeAefr1allaAvLAxy7N00nxxs8p3JFby7aNG1ZJ51/Vd9hwPiVJz4P1dVu7VvO3ilabSqoNmPLQtTXNSVznVGbpE/GNW8s4VRYZ8EpIkQqys6xJ2LhIOIkHRLYhWGRITzZQfuLnFo/vbPLffZsSCoycrKEhMNkNGGz3ed1ObN+1a5o6nWtz2cJNDsw7rGhmjWUazpnDFDhlZbXNstssDu02OzdlsXwOXbEmpVSPSNOLAGZkLtq/npltuCZMk/rsBPjrSpFF1P7hp/cYdRw4ev3HE8VGkOpdsDrCtHrc/nfDoC3VWlk3GKypb1mioSkaz5tOoLbH3VJdP3e9yzzMjNE2FjbWM0SqM1DQmRlTWTYiVvh8FfO4BmyMLNdZVJUbtlLqb4RV8BDs36nQkPFuYBpl6wlJb5uR5pcztLKpuEQFNkX0uAZJg+K3K1BmansjliJBvPWAOT06U3CRfiUikhMf3W/QTA00TsYKFZ3j5vvLwQVM4Xn3rFKUQFgxlYqbiQBjnsYGiTVGxDJ1rd0RoBERJjJ8YgpqaDkeKFL24qOBpMtybF0Gs8qox4WBUmDPBs4FZ0Sojp/zcsjAfstIRNg8iZU8RvomhQhhJ+URH/E1lOWViJOL7X99mz5Eayz2dkzMRWWbQ6lostTXGGiZjjS4/9fZlLpie5RP3exw91QBkah70ehW2rrW5dGOXGy7s8tCegBdfcfjq4x7TTYU4S1g/aTAxueWhSn3tB+Ow9XcDvFnz+Pit97XBPtSLjdetbXQVpBXuezEjCi3OzlpMVBU2b5YZa6isGUvZNN1lvLnA/S8F/Pqnxol9l021jLFKRqOi0KhqjNQUJpsJk02fiWab3UdiHj8wSsPSGHFSak5G1ZHxHIWKo1FxRRBo1Y2puTHNap847XHn0zpS6DLe1LFNZeAtUro1pchSSiaSWfPKnQ3ahzL+b7DgKTkncraaf5JPUTQlQZWF++39uzUOnrTIZB1DKVLXKGfrahFFXljaFWPDgbP90FhwdQpwUq7XhxczKnGisW1tyM1XdLjrOZdQ0wlKZfsA3MVURahvUsHqS/OUhyHjnkF/LpGmankgSIa+LhFiJdpB08iYasasnZrno99wkUKNES8tIwGjWCXOhclZChIGsiSosddesMzl21Z44eVRGk6GIofEqUYQqvQDmW5fYbSuc/OlK7z2omX+56cSHto9kp+TIlpdjfFGjZGay1t29blkQ0gUL/LIXoc01tiyVkpGGsqhoy/f2d688x1/N8CLR2gcdH6yXnGvOnJu+bLjZzVsTWdNXeaKTRm6JuPZMFLzmRjpoGnLPLg34rc/O46a2GwdT2lWJOoVlUZFo1mTGK0lTDR91k+uECYrfPVZm6VWhXWVjIabUXNlqp5KxVGpuQpVL6PuxTQqIaP1HpOji/zp1yQeftFl14aURpSSZUoeIkVuXSYqbruf8fg+C0lRROTI0GKnsJtTV20yeRXIB7K0okUxjZh+EHP7ww4zCzaypmLl9NGScZg/BeRX3Ujyq8PqyxZlwAwsdJcFuONYmFQK8a7GZFPmHTf2eHi/TxCZ+KoiGIbJqw+cgpudaFn5RBhMVQo3Kjl/Yoi++dqdIbc/EeWKoYFxkcjZFLI9z0m5dFvMKzPz/PntY6wPVcajhDASrUySCN1tmqnloVrTUsYbMW+5ss3eoxZH5jwgIUkywkjFD1V6gUHPV+n2VdaMGfzCDyxDNs/zB6t0j5vMLoc0KzKuLWNoDmMNh7FazBsu73H0XIKiOntWWt2frFedbwflbw/wH3/PLXz2819KrPGtWa81Q90NWT+hMjXaJ05kNk6kwubY6bDQCfijL1vsOzqCkxmsm0hpVGQaFY1GVaVRgZFazGjdZ83YCpK8xB/cZnLrQ2NM2DKjXkLNkam6KlVXgLteSalXCiFzj8mRBZ48FHHXs1OMuiq6OnCFUl6VM6+qCcvdlLuesVFVteyRB6NAafWPiwpeHDDV1ZMTTYlRFRGAdeRcxjN7LYLEwLIkTJmSnajllVst25VCpF3YEw/YhGXEeZb3yIrwpYkUCbWguKqFSkZoGh1b59qL+mwc7bH/tItvKISFELnkfoi5t4hJl3PW4aAPj4v2p3xKiB7/jVf1+Z3PBJxqpbmCXyrHj0U0SRjJLK5UefMVc+w+NM+T+0eIEpU4yUizZIhXI5iQkqShKBaamvDu18YE8Tx/eJvCkTmLJE2J4kgsgUIVP1DxQxs/VJke1fjg9y6x58QMf3hrnUNzJrWOgqPJbJhMmV3JmB5RWD+ZksQ627duzlptKdl17Tv//gAHuOnG6wgC//MLM69sq/ZOO72oz0tHJcZqGRPNFt/cnbDUkzlyrs6BIx7rahLTU9CoaHnllmlWU5rViNF6n7XjLcJ0if/1FYvP3DvBuK0xVUuouzJVT6HqqdQrMnUvpVGJaFQCxhpdJpqLPLI/4lc+MUlnyWHbeIplKOX8XShu8kWEkqAqEeeWMmJ0VEUuo/+Gx4BFWOmAOZjPvYsqrg4dLtWCgx7y5Ms6p1Zs0DQsBQw1RR/mliugFNZqymDOXkxUkKShA2beVkigxOKGKKwYIiUtOdxxrBLHKkGgMVkJuHZHl/3HA4JEFxEluUdJmV1ZvG+Sg3yoygvRcuFlUtw8GmQKEw2fE8tpSQcoOCRxng7R8xUWWyabpj1+7UcX+dVPzfHwnlGSVCPLUrJUOGKJOYZCyRyUHBQ54303L4A0wx98eZT95xw2hhBEEX6Q4gcq/UDJZ+oK06Ma1+9cpu4sc/S8wlLX4PEXHJpVjdF6QsdPWenKjDbr3S0XXPt50zC/E4xRvtNP/N7v/T7f/fY37DYs79+9sP9IVZF1Gp6MY/V5ar/OuTmXh/d5LC1a7JyEtaMy4w2N8abKeEOwD8ebPusn2kyOLvLovh4fvdvh1kfGGbc11tYTGhXhQ16vaNQ8mUYlo1GJaFYFuCdHFnhob8Qvf3KShfkKG5opTU+i6ilUHJWKAxVHzN09O8S1+9h2h0/drXPfcyNYpgiocoa8xE1NzFnNQiZniJwgo7Bl04t0tyK+MKTi9Dk1F/KhT1fYe6KGYRnUVHCHjIqE+1ZhlF+EbMnCeqJI/y16cRgy4ZQGPoXy6vNEOXrMXbQa1QjXDXlsn8FCy0RVlVzAMWBEFtMhteTXDG644kYuFjbF6r1RCZhZiXnqRQ9UHSe3jjaG7Os0TcpjtCWmRuCq7W1OzEa8eMJEQkWVC8OiYiZTWDGL3lyRVXZtDZhqdgiymN1HLfxAQcrSnJRFqcLvhxpBaLJ1WmLDeEzQd5luwsxyRpbqVF2Jhtdn89Zd55eXF3/kssuujb4Tjr9jBQcYn9iBabdw3OdAanF8RiEMbLZMqdx4WYcgTem1dNaPa4zUVRoViUYloVGJGK31mR5rMbPc4XMPw5/dPsJy22XKlZnMK3fdU6hVdOoVibqX0awOKvd4Y4EH94T8yicnmJmtsLmZUnfAtWWcXChhGsN5mgKMy52Ypw54gI6tgp4zA7VVqh3xzR/+xhc+1MLYJ8srd4KqRhhWyIH9MkfOWKAYWAqYaiokXEqWZ4OSC5eHbCdygCuyyA0tMnCS0p5hNcgFoGUUJZeaxWlpohPFgr+9dTpi51SfY6cjfEsjKP1SpEFLUo4KU5Ih1Xs0pPKJ8ydEGKlkqcHV2/tUvB7LgUU/lgiijCDK8MOUvp/S7au0ugqGbqCpHmvGEn7lfStAxgMvjJOhikqe5QaemZTXT4UsM0rbt7dd3eL6i5f543rIw3uqvHTGZX0TxvyInp/Q6au0eyrdvkmawUpf4gsPmVyyTufKbRFBFLLUltD0BpdcuAPHqf5tEP7OFRzgI//7Q+ny8sqBpeWVd0nReT2JdC7aJBFmHR7fK0FssXnKYMOUwtRYxmQjZGLEZ+PUCtXKIp9/KOIPbvP45jMjZKHNmqrERC2l4crUKiq1ika9Iir3SDWiWfMZq/cYbyzw6P6QX/qbcWZma2xsZIx6UPNkqq5G1VWpuFB1UzxHVO+K06fidnnkpZS/vHMMNJuGkeEaeSKEkbvFGnJptyzslyllcsPWb5YhjINcyydJfT59r8nduxvImkVVl3A18b6FSb5wCMg9XUrLC7m0n1CUgRl+Ma8umIRIICOVLMTV057ceVYWZ4yKE3FuKeGpA+IsoKv5qHKI1170/2qxxJLlIQ58VsrxyjwgOWV6rM/zh+HQaRdNVTHV4dZLvI+wbRbLtiyTmR6FK7e3OXouZs8pCxkFVcqEQ1cZZKJAJpZLIt1Bo2IrvGZnwLUXttCMgMcOGCx3VEiFd3jfT+n1oR+ouJbKtnUd5lYCjp+1cR2VhXbK1o2buyNjW3/MrW05+KEP/Xr2jwL4j33gP2cjzbFlz6u9/7kX9nubp3xmWiHHThtULYfLtqhcuDli43SXqZEeo40+E40lzi63+fNvGHzmvlGWlz3GLIWpWkbTIz9EqtQ9Ae5mRfTpjVrAWL3LWGORx18O+PmPTXJ+ts6GBgLcrkzNU/PDqEzVFdrPihNScQIqbg9FafPTf1bhyEyDqiWI+EUCm5mD2zSEer8QOZtDOtDh1sQ0IixdcGX2HIv54y9XObNQw7FUqoUhf243VxryG8PuAErpfKtrOfMxD64KIvFYTvPYPZDKUWKx6i/bkyHqrixnuJagQTx9UOXMfH6QVkCTBxrTok0p5vyyIg+1LUWixGoymefErBvr8eUHHYLMFBOi/D3LaZAs508b0Xokmcz0CFx9QZsjZ2P2nrZyd4EstzGCMi0in7tHsYIf6kgYTNYVrtjiM1Zrc3g24+isgR9ILHdT5tspC8spKx0F1zCYGoU47XNqVmHDuMab3/Sehenp9b8Uh0vdD334f/3jKviHfvu3qVWs3pGT557w4+xHX9x/SnE0i23r4KJNXXZuWkZSlvncgymmGbNre4uXjvf5xb8e4bl9TSY9lfWNjLGK4K9UHIWqo1L1NGoViUYlpVGNaVYDRutdxuqLPPNKwH//i0lm52tsqGeMVjJqrkTVU/PqLcBddYWLbcUVXuMj1TZfejjjk/eOkCoOIyZ4RbygMQCgqSvouiJM/LVBSJVRGuYnpd2yZQa4Zo9vPKPwV98cQTEdKrok7J0LP/LCkH8Y3Dm9wDLAMrMydSJNYbmd0OklRHE2CE8VBITVZDBluA8vDsGi2q4bC9h9WGL3IZtM1cQ8fjhiXBna1CpDdAR5eJk1iAhRVZGoN9EIODOf8vwhB0lTMYZIZOJ8kEcOFq9MIk0VJhrwmp1t9p+I2X/GQsoGIB9UcjmX5CkEkUq7p9PqmmSpxZXbMq7Z0WLfyZR9Z2yuuSjgra9Z4OmjcOi8ylI3o9uRqTo6a0Z8Lr/0sqjRHHtLfXTTQcO0+NVf/fV/HMB/8zd/nZ94/wdYPzUmy5L8tqMnT4zo6hLHZzLmlw1UtcMffaVCGtTYuU5nxe/xq5+osrxUZ8ckrB+VmWho1DxRMS1TwXNVap4Ad7MaMVINGGt0GGss8dShgJ/5i0nmFmtsrAmpW8OT8rm4RtVTqBXgdoVcruL0aVY7dIIuv/f5CgfONKlaKvWiPTHIK3ceVlWkQRStiZGV5p2vPly6tk/L9/nkPQ4vHG5gGTpVHZzch7w8uOaAFuluSp4IAbYlMok8O2GsEaKoPi8cTphbTIVNWjrIlUQSfXpRvUvuzCpVkai4ph6x0Ip5aq9BK7QwVKE5XTXrlwfSO6VIhpCK9iWfGBVPCDlDVoQ0zDL73PWczkrPEueJYfpv8bRBLhJsyRDz9ImGxGsvanHwdMTeUxag5iLsAuii6meZTBBJLLYUltoq7a5OL7CYaipcs2OFQ6dlaprLlVtt3nBVh1NzGddskZme8Gn3fEaqHjsvvvnwyPiOP1lanFupVBv/+B4c4Gd/9md54tlnV3RNf9HQkp/Yf/AME3WTi7d0OXhSx1IqvO4SmW0bVrj7hYzd+xtcul5iw4TOukmNretEZVzpyNiGaC8aXkqzEjNSC5gcbTNaX+KpQxE/8xdTLCzW2FBLGfGg4UmiJfE00aK4GTUvoeZFVN0gt2fu4rpt7nhC4eNfHyeWHZpmVlZvOzdWt/RBvKBZmAsVxkL6IM+naE9MI8Cxexw8l/BHX2qw0K3gWnKePIHovwvzogLcQyFYtpnh5GlyVTdm7VgX1EW++rTCzIKOoQ7ClgZ8lcFIcbjaKjl4tbydsMyEqhPy0HMaZxYtJFUsnTQ5G5rDF0+CAfddLqu4NGhTCuVSvuCaHA05eSZmzxGTUNJEH19YOkuDKFuREyRS2cgldmM1iet2djhwKmLfKZM0VdHyFImi9RKGpnD8XMixsyJS3A81gtBg4wR0Ap9nD+h0Oia64uDqEXuPZzi6SdNLWLvxcjy3+p4zpw+81BhZy+///u//rfhV/y6Ar1kzTb/Xw7Ssc3WHR+bOHrq+219i31GD8ZrE1dsjxkZa3P18woNPN9i1QWXTtMqGKYmta7skUotnHjLotB1qropnC5A2awHTY23CZIlvPp/wG5+ZYmGxyvpqwoiX5YBW89ZEoe6l1LyEqhtR80TlblS7eHaLrz+Z8pufGmchdBl3wNFEBKChDqc1FLnncu4kW4zLstw8fjWxStdiMmL2HtI4v2ih6Qq2wio/Qy2Pli5e4pAp8oQKQr9rx1TckFqlRyvs0ItMFrounpUMjCjlNCeASWVqg5Yn1YWqjK6JiUqYT1T6vk6z1ufC7X2ePxEQJgZ+ipiJpwPHq9JHUEkJI/H+IhJb/Bl6pKCHGbqaEqgaXc2kXon4H+/r0A5m+OpTk5zPrLzy5k+dLBly5hKyukGas8REU+ZD71/hQ5+b4YUjIxxftJFIcksPCcdWWOMlSOtW+MojCidmLbZMqfT6Ckna5LsuW6Tbb/HAMxlnFkw2TJlcsCHB9wPafpOJyUseueyKa875vo9lWX8XfP/uCi5ald/ke9/z1kXH8drdfvTemfPHaVZktqzxWTPZ4a7nU77+aJ3NowY7Nmrs2JiyZc0KmbLAZx9QeeGAw1RDZWJEZayeMN7wWTvRYqW3zP/6gsaffm2cfscTlduFuicOlOI12GzWKxF1z6dW6THaaFPxVvjaExm/8NdNjpxvULGEUMLVMxyT3HMlTz4uo73zyUnZmmS57fLQAVMPcSwfPw74xDddntzbxHY1atpgpl709VZevU1TFXGJeWtim8Lfw7MiPCegUe2y0u3zjSctzi852BqrRcoFP0aSV6mNil653LCqAiwj9YiF5ZhHXrToRCa6qmDK2RDxa9DqFE8FqTjADj0lZDkrl1wiYQImGglXXtDh3HzCnsM63UTL7aEzpBzdpZV/JueRg6Kqx6nCaE3mll0d1k22ee6IweyygZUXElOTqboSl28LqFc7vHgsYXZZJgwgiRUU2eTKC2L8tM+zhxXIhC+9SsgVl+9iYmL9z54+deLR9es3/H2g+3dX8OIaHd+A51Wf2bjUvU1JT7zrxInjnJq1eHCvzO4DNhdOG1y0SebCTX3Gmovc/XzEXc84rCy5bB5XmWhqjFRTRmsB6yZatP1lfvfzOt94cgTPMllTS2m6UHVFYkTFzcHtpdS9mHolpO75jNY71CsrzLV9PnG/xl9/tc7hs3Usx6Cig62mIsBVyxMi8sWOMWyerwsDT00rtpYD9c4w9/voKbj/RQfZUjFlMIa9DFfNvYdiTvKbRoiqhVOAZYQYWogix0hpTC9OaUcSRpgNxnZ5vLZ4kkiEmkQYiY96LBFFMrEuKnicqPS6Ojde0mHNeJ+FEzFBqhKmBflKypXsg2mMHKUDFZOiiCoeiq/d1xR0TUFXNfpBwkrHZuN4xi/9SIs1jYgvPlbn5FKVTqCLDWmakWbxkKdLXsmzgf5zoinz7tcsoaln+a1PTXJ03kXLzw/nFgxcu8pVWzM2TKxw97M+9z1TY65lsNJV6fl13rSrxYjX59Q5F9KAxugWtm254LYtm7c+0+ms/H1h+/cH+MTEGE+9cOZEffLq/7r/5d2Kqs+//dlDPbp9m5su0lk/mbFheoGzS10+/5jK7oM1pMhk25TM+kmN6VGYHA1YN7lC21/id75gcc+zI4xVNCarKTUHqo5MxVFWgzvnpDQqfUbrLZa7bW57Sub2x8fZ/YpHKzQwHAVPA1tJy/i/ImenSGIz8oOfpQ+51aqDg1uhu1RkYQOXEXPwtMqx8xa6nVfH0jhIKh/zhae4oUoiJ0gfdguI85yiAE0LQE4gi0niiJXQwFzlYEu5WdQ0Yd8WaatNNKNYyklYQkGzflxi+5qAvSeErcQwWaqweYuSDDkmz8Is+PHCxUtI/2T0UCbQFAxNJYpUAkVnqQ1rRiL++w9FvOHqOe54osNdzzc4tuwJXnmWkWVx3qtkOcAHcYNhLDMWKrzxsiXSeIYPfT7jyLyXO9yGyLJOmtbZvl7hh25qs3XNIg8+b/L8MYflrsHpWZedm3qMekscO9dk26b6nRddcvV/JTtz0rLX/fMDHOCay6Z56unHT15+2ZV7b/tG6+2GeoQd2xImmyFb1y3z9adT7n+uShZrjFkyU2sUJkc01ozB2nGfLWuWiNIFfudLLvc+N8p0VWasklK1pdywU/jRVd0hTko1YKTaY7y5zN4TPX7xb2ocPVcjDk1cVUIzRcyGIacDABbgLlLYhrwPy1hvPS1770IwMYjVTuj6CZ+5xwNJR1OksnoPNp9DPuKFj7k2mMaIPFCRBepafQzTJ5ETlCyGsE87UDEVBV3O7eTUDD3KNY9RSqTJhLGo4lEkE2kDU/k4ESDPMpUffmOf+58LWUqyEnglSzHNkOOBYVwm5RpVuejHiwwisSKPEiVPS1OIIrEuT1OZSzZG7Fjb5703neUXP9Zg/5EmcaaUm8uBx2JhKCTIWWGoEIQa33XZEkk6z4c+K3HwvINIcgtJEp1+UGN61OTyDT4Xr/e57/kO9zwRk2bCvGlNw+Tay8fZceFVe/fvferkhRdf9w+B7D8M4ABrpycZG5/+8MLs0U133jv7/bNLPWzb56n9KSdOjXDJOpl2N8GzhMBhcjRj7XifqZFljs+t8JkHKzz6fJPNTZnxSlYGzIqQVRXPkah5KfVKRKMaMlLrMjWyxJ4TfX7mL8c5ebbGpCvRbKZYOvTTmAOzCkEsyD2l4j431RdjOyk3GxK9saknaFpaWkNI0lCsnyRmzXGWstDWkCXBSBy2Wy6MgbQho3xNAz2fyphGInxezADP6dKPunzpqxqPvmTzn97b4qKXIr7yRMKiX0OTFOF1XkSpaBlhnIpEtdzUvvQbLDIp8zV7kmo03T4KMWmakGRqLvXKKQGpIE0l3yJgSMQYUVXylk0WLVAsk6YSqpoSJRHHzllEYRVLT2hU+2yfWuF3P7DMB/8iZc/RUbJMAVKRpy1uIdJMJY5FTHfPV+j6Kj1f4/UXLRN97yKfeTDk2GyNOEmI4oAw1PFDi4oj0+pabBpNuebCDnHUY7SisWbKIVG2fH7bBZd/+MyZU/9QuP79DpnD1+//r//DD33Pa4LNG6a/vrJ48kZF7qx7fJ+CqXhcsjVmvtPj7JzMjg0mG6cTNk72mB5b4JvP9fn5jzaZm62yqSGxZkRmrK5Rr2p4jopjKniORNXN25JqyGity9ToEvtO9fjpv5jkzLkGmxoZaxow1VTYulbnvbcsoagt9p+wcFSZiiX0nE5+wwjnWxFi69mCmOVYMaYu4lSyTBIHLTXL7RBiLNOnE4V88cEq55c8KqYssh118mhvaWgzqmDnN5BjpThWjGeLg2W90mGl1+Hn/rzCH35+Daqs80NviPjxt0RsmezyzD6F+Z6JqebuW0pW8mW0oYnKtyNJ6TlHfXY55o6HTVZiB0NTSqKUlvPSo0SkT0e5ygcYHDblolXJgwb0FNcKscwedzwR8em7ash4JKlGGKskicbUiMRVF7R56WjE0fMWsqygSmmpexU3loQfSvR8iX6g4ocaUaJz4Xp4zw2LnG9FPH3IIokgSzJkWWbb+jYzrQ5Pv6yzbsTgkq0Br5zV8eOJRzds3PV9z72wt/Paa6/6lwc4wEf+7NN84D/8ZLR23bb37dl/cqOtdulGIU8chNaywbU7dXZuCtg03WJqbJ47n4n5318epabbbB6VWDumMjWiMz2qMjmSYWiC9eaYGVU3oV4JGa33mRpd4qUTfT740QnOnKuzqZExWZUYa4jfv3FK5optfbp+l8dftrFkhbqT4eaG6o6j4tkSFUe8b80NqVUCRmo9dC2k62uEkVC0qIoAuGmI0KpbH5L4+N0NZN2mqoOnZ3kPPwRuXdgcWLkRqZM7CnhOQNXtYZktPvR5iy89MM1I3WLrpMHGcQ9LM7lsS4ipd3jkBYcYHUvN/bfzJ5BaPBnyEKxypKlkIkIwH2dOjvocmZPZe7iCpqlUymRocQ5JUpjrwnJPpsiCK8yQCkddLT98m4aQEypql688ZrL75RpVMwPUssfOUrXkoOw7mXDknIWqyOhKPhXKEdXupcwuxfT9jCBPW4sTDVvXuP7iFrPtgMcOmgQhRFGCH5js3Cizff0y/TBmdkFlcnyUN73xnYcrnvrRN9x0/T8Gqv/wFqW41qzdSpqmT1966a7X3PqNe601DZntEypVR2bjmjaLnRajI8t87TmVj3xlDaOmwaYxmGhqTDRVpkYzNky26QQRew97SGjouhit1dyAZqXFi0f7/MLHRzl2qs6WZsp4VWKkqjBa15hoykw0fFzbBylDQRJVsMi2zOO3HUskwVWdiEbVZ6yxwny7z3OHLebmaqwb1XHtGE1LyYb0hCttmTTQMEwJvdgiFuqgIUqqqLICfEXyhKnHuJbPoTMJ9+xuUnV1No8kTFQ0ZhYsaq6KoiTcdNk8n1i7zP6TFjVDHhhYlj7bMnE83KLIqwQLUaxQ0SUaboycCia2LImbwdbFU2ztZMi59grPHDY4vuiypiohSfmkSEswNBk/FJ6BYSTetxBDt/yM2WURCyNJOkg6xXZq82TKb/x4i1/6hMLB4yODQ7aZ4dlgawlHZ32OnlNZP6bQ7YuePowUNkwq/Jd3LhDH59l33KLe1Dh83kaSDWpeg1YvY8uakDWbLu1v2rD5aamwCfvXBLjtuJw63/uFCy66Idt1+vB/mzt3wHQsCUX1uetphYrZIExT/uobLlXNYOuExNSoxuSIwtrxmG3rVvDTFT71kEt7MeHiTSqGluFaIeONLifnevzix+scOlFna1PwWRqeTKOmMVKVGalFjDV9kqzPodMaUqpgG0Xmj+Cd2AbYpkiDq3oBzWqLI+c6fPgLNebmaly8RsFUFBRZVP3CK0SWUwxTEa5VMkL2VrLqpFWSt0H7MOz6FCLJfT7zgMPMnMumkQzPBE2TCEKZdk9juWWzfsrkh27q8Msf9+lENrU8e6fM3yntH6RSblbaH+cHwjRW8QPIskGsuKaIOf1IXWX7OoV3b+pwfmWOD38h4vjZOqosoSlZGb9oBTJBIL62vq9ScTW2rw34mhpxftnANuLck0ZDljRk2UKRU7avSfj1H1/gp/9c48y5Gp4h8pl0VebirTEb1rb52Dd1XjjmsD0QRLMoVomSClvXwge+e4aPfV1i5zoXxw45dCqj68v0ghSMzf7119/wB6Yp/aIkuf9ogP/jbw1g7YSd/tWXHvif53sTvyMZG8JzCzGKJHPJxozta3XOztewJYttUyrrJgzWjKusn4y5cPMimTbPX33DZN9Bl4qtCEcsK6Ze8ZHkFrc+ofHi4QbrqjJjlUyofaqaUArVUprVkPFGm+ePxNz9jIcmKThGkXsu+CCOKaq3Z4c0q10sa4Xf/aLHs/tH8FQVQwU/hDDnTGeZAHe7B3uOmUiqlsvSsiGzzoFZkKxIr6Khit7Y0CLCJOSbz1YwDAVbyzA00fMmKQShgh+qdPsWb9gVo2l9enFGUKYzDBn5FLYQhZ4yLhxmhSA5ijUu3JBg2TFpOhBOaHkOUhCq9P0qV22z+Nnvm6cT9Tjfken40PNT+kFCP8joh+CHMp2+SpqYfPeVEZdta3FmBRbbGUutmKVWwuKKxMKKxvyyzbn5GhevN3nPdUvEcsB8V6brZ/T8hHZX5/JNNu//7i6h3OGlkwknZyNOzcQcP6Ny6EQFP2gyUjM4cNxi7xGbNFUZb/S5ZOt4eNPV1d+Ru3f+T0ny0n8KRv9JAAe4YA3hjs2THxobH/u1qTEnnVkRi4ajM32e2SdxwRqTW65K2b4hZrwRs3XtMmG2xJ/c4bH3QI0tEyprx0QM+EgtoFFtcf8LGV9+YJR1NZWJakrdkwW91lNy1Y/o0ZHafPNZndllm4ZT0GKlAdnJTHCtiKoXoKsdPn2/ynOv1JmqQt3J0LTccapI0ZYESOeWMu562gFNkJi0fGpSMvSKefIqG4qsFEpYZsRdT+u0OqYQXahizi3lkrU4EXPiIFKpOQpvu6ZNEGaEhRYyFQdC4atd2D4UbYq0KpIkCHXedHVEox6Ig2ThWIU48AWxxFJbY3axwhWbNX70u+bppTGLXZnuMMh96PkyvUBlqW0y4hm8+ao2ieJzviWx1E5ZakcstlIWVmTmVzTmlizOzdd5740J33XlPLPdhPl2xmIr5uR5OHK6yuWbKvynd/SQjA6HzqXMLcUcOuVz77MZB49Vee2FCVvWLKApMU23T6tfSesjo78WSRMf2n1AC/+p+PwnA/zHv/97uXxTt//2mzfcdu1VF2dRqDDbljl8VuHi9RavvyJioduiF4SM1QOibIWP3Oby0r4aWydUNk5pTI9lTDZ9psZWaPXbfObBGoFvM11NabiSWNlXVBpVIdtqVgMmR1Y4cj7koT1VHE2lamXYhpTn/ojqLchOESPVHkfO+Xzsq3XU1KBuZ1im4KUUq3ClZOzFxFlGP7awFHkQN1i2KJRCYrECp5yfFwadph7x/GGNbk8XmtD890jSYHwXxzJRpOCYCpdvDkijlKg0jBeqnzSP0S5Fyill7x1FiljKRBq6omDIIXGairjB/EaJk4wwFHrKlY6BhMt/eKvP1jUrzLQlUcWDlL6f0Asyer5Ez1do93T6gcMNFyZcMNXizFLGQgeW2ynL7YilVsbiisLCisHsooupVvnBG/p4bpsTSxLnl1LOzUccOS1z5HSNq7dU+Kl3dpG0PrMrYFsJzdoCD76Qsu9whU1TGQ0vRJZUptZflbWlS257Yr/df83rfvSfCs9/OsABLG8tqnfBKxddsPUnv/vmXWkUKVy1XeEt161wemGZR18wSROdKGvxf75isvdAjQumVbat09g0nbFxqsfGqSU6/hK/9Ikae47U2TgysJ4QImZoVmNGqj7jzRazyx3+5KsVZhdcJjwR42ybcpn741gJTp5AoWkdPvOgyckFjxE7wzXA0gfx4MOjN10P+Ng3HfzIxNWEqGE4LFbJrZELmRkMuCSFL4six+LpoCjluK74tQVRKcmzeOJEJYoksjQuo0lKnnjO+SiUP0kpOZMIY8GrDkINTTV4/5s7KHEkbN1iSk9uP4S+L7y4l9o2k3WdH7p5iX4WstST6fnQz6t4z4dOT6HTEy3IWM3mP759hdFmh9MrMvPtjKVWwlIrYrGVsdBSmV8xOHm+yoXrXX7txxaw3DavzMmcmIk5fjbgwHGJAydqXLG5wk99Txv0AEVSed0lKmumlrjzaYkn97tomsbEhuvSyekLfvJNr9/+ykUXrPnngOY/D8DXr7+CsfpyuHbj6z7quebPXH+5h0yfB1502HvM5YotBtMTbT72zYwDh6vsXKNxwXqN7esTLtiwwkh9jl4yzy9+osLDL4wy7UqMVnLSVUVoPZu5MGKs0SWlxe98zuTeJ5uMOTK1vHrbefUuFjqOFdGs9Nj9Ssyjez0sVaViDXHEdSlPUE7RtRjXDnnhUMbXn/aQJA1Xy3JJGsJ8MqeeSq+OkyrprvmySE4hr9jDTrMlyEsDzMJdCrIsEeCGb/VSyz+VZEIVH0Zi8uEHGn6gE8cmb7o64uLtHZb7IrdeLIoygjClF0j0fMG99n2b110Yc+X2FWY70AmgF2Srqninr9LqGiy3XN50lczP/fAMmeJzbkVmsZOx1BZJZosrsLgiUtAWV6rccJHBb/z4LIa1xKlOzMtnEl45FXLgGLx8tMal623e/9ZFji+E7D7osXOdwesviehHCWdWxkli42feeMOVH33qxW6466IL/1kA/o+eorz6kuRLmZ87l1x59duOPP/CZPvl43d5ew4tsW7MolJpc89uOHOuymUbNXZuUtm5McAyl3jphM+n79U4ubiGlY7NWg9xqPQU6p5GsyIzUksYrQlwj9SWeHhfxH17x3Etg6YtgpJsSwgqbEPCyWmqVTcgpcfdz2mcXXBZ4yFSJvJQI0OXVokcXMvn5VMSiwsu9VwR5BhZzhwU3A0JiazMnYEh0UoO9AyUDEmRSwnacMrDcGRgmkGSySQJ4j0zBFuv5IlLA21mvpSKYiBQkABF1tA1nW7fZLze4aJ1bfYcbNCNJIJIuE75YUo/kOn1hW31SsdmstHlTVe22XO0ylJXwzVSbD/F9hO6vobdF5Me07BwrCrX71zi0k3zPPjSOKqi5i69cT4qVdFUDU2z0JQqr92RceuvLHJmcZlP3lPh6CmHlVcy/FAjTppcsFHjliv7HD8TsLSss3N9i7NLE1z3uhvbO3dcfmRm9nzyjtdv/ueC5T9PBS8uTbew7e6dr33tlf/5iitvXrxyRwPkkCf36eg47Fyrcvl2mQs2dFD0Wb74aMwffrGJmoyypmFSNyUadiYU9xWVRlXJJyaF0n6Rpw6F/NLfTJIEDtOVBM8EJ29NyuptiTCrutfj3FLIk/tcjEynZud9uiHnL6HoMY0Exwpp9QLu2e0Qymap53RMCTePYNE0MR+OhrJnkjw8qtDZynJGpweLLTmPFMxKsBbXcD4mmUSzkmHbKUnu9lqmtBVW0crAZDSMJTo9mXZPodNT6fZ1On2DJLa5ZZeP6fVYCWT8EPwwy31HoBeI1XmrZ5BlNq/dGTDd7LDQhW6AmKT4uYLel+j2FdpdnbllB12p8Ks/2uM1O+Y53Yo515JYaBWHzoSFFZmlls5yx6Ldszg9W4domp9+T8a7b1wmkDscOO2z+yC8fNSD2ObanSlB1OfM4jRvuOWWxak1u/7zkZO9O1377+Z4/0Ouf7YKDlCt1gCI/JVPvu27blDH6tmH7/jGw6NrmyscOAvrp1JMq8tdu3s88bKFFDu8ZqvO1Tsz6s0FfvvTDSq2TL2i0KyqjNQzRushkyNdJkcXeOJgyM9/dJKFxQrrqsKJ1rUGih0rn3s7pmg3LLPHsRmJ2bZD1UH03gU/3JAHOUFGRNXtc/8LGU/tr+FpMhUrFdHkjkzN06g4CmEUcfxcIgAoJ5hGkeg7sIDQNXjhoMZ9TxplusSrndsKR9csH+u94TUhn3wk4tDRIkg2r9yK2GaaRkbVjYGMY2cVglCi6orWRlM0DN2k4lhce0GfGy5a4b5nHbquhBfmtg9BSs9XBDekp7HUtmg4PTZOdHnljEfLV/CCjF6QYAeKsFLzZQxdRVMNJDzGGxK//f42v/A3czyxbwQJTZw3pAhVkdA1Bc/WMQyZj9yuMmY7XL3D4TXbVrjygmWeernPvldcjp83mBqNeXyPw/aNDlt23jy3bvPrfy6Kok9uWDv1zwpu+Geu4MWlmVVml5KPbdx848/fct3WucV2xgVTPkg9vv5Uyr4jLo7scMVGnRsuz9i1c4FnXwFDkmhWFEbqGqP1jLF6wGSzw/TYAo8diPjlv5miu1Jh60hK08vwzFxMnBv4FIsd24ypuX1a/YAvP+yxsGgz4qTi541C+DD4tbYpboYHXjJZ7FnUzQzPANcW0YfNisrm6YxLtndZ8iNmVzL6QVraCYsqLiqyjDjkZeG3OsoO4Tv/KJQwmi5GiQOflMGmVNfAMVPGGwGVyhK7j/U5djbKFecyrZ5Kp6/R7lrYhsHNl3bxw5B2INMPwA/yA2SQL1F8MQYcrZp87/U96k6fxZ5Ez8/wA+EJHgQZfiDTDxTaPY3FlsWpmRo1p86v/kjAay9a4MRSzNllifmVhPmlkPmljPlllSQx2bW9x9OHezz0fMbzh2rEfp1L12t892t8UH0On5Fp1FKM+iVzb7r5hp+v2tHHxkb+8cucv+36Z63gw9f4qMenP//lj2aZlzRH1vx+e/mVhqmpbJ/UWT8ZceyszPRoiqov8fF7Q55+ucJkVWFqVGftOEyN+Lnp5gIP7g35rc9M0ltxuWA8pe4K0n6apPmqXEbXpdyQXfik2GaPe16UeHhvlRFXwjUYak8kLHNQvRuVPsfPR7xypo6nqSJdwgTXFA5ajQqsGfNRjRbtyMLvqIx4olWJE6U0sC+SG75t8NTfhvaUgU2xNFDhKLKEroqQ3LrnIwUrnF5U8ZBxLdB1DdOQsU2VjqVT9W22TC2zcarN4tIIDQv6eZvSDzJ6vkzXV+j1NRZaNtft7HL9RSt881mbViDjBaLiB7nhUBxL+IFCt6+y2NLp9DXWTSj80g8v8dufm+fRPaNIKERJQpKG6JpGzXO56ZIOjjXD03vq7D/u0uobHD+ns2ZcxY8SLLPL+qmNi5duNz/4wvN3/c3lu971LwXDf5kKXlw//P3fg671PrFu7cRPrVu7qS1JEp4nc/CMykhN4fRSj/t367xyuk4amWyc1Ni2PmXT9DLN2jIbJhd58kDIr39qjNaSw7axlHVjKlvXGYyPJKz0Q+I4B4JGHlEYU3F8OoHP159y8HsWDVvEoViGjGkqWKZUaiY9J0TX+tz2uMELh12qJrhmhm2IQ6trS3hu8esC4jTBj6XcUXVARS3SirPVw5XvfL3KeL7MqSoOpUOBtVrOcdGUmCiJWelldHoJ3V7eL/sKnb7In790k8K7Xtuin0Ss+JLorYME30/o+TnI+yorHREg9aare9h2n6WeRDcHeBSlJKkwB6p6bWYWOxw8LnP8rMmxM1Wabo1f+KEe1120wJF5mOmmHJ0NOXQq4ugZDUVy2TJucMsVGdNjK8wvSWyeDml3IoIgY2R8W7s5NvFTc/PLn/iXBDf8C1bw4rrhkiQdH9c/v3vPZPyNRfUTz+w5bGyYcDm9EHD8nMqNlyqMj/Q5ftLgos0pm9fOc9vjGQ1X4gfqAV953GF+3mPnJEyOqKyd0LlgQ0SYrfDKWYVeYCHLQsVjGWIt79g9Htufcd8zdZqOhGemWKY0lARXBNFGVJyAY+ci7nm2SpYYVM1UKPFNsTSyTRGBaJsRQRohScX0owB2Nqje2WpYZ/zthfvbgRxepbLP5+uSLOyMwzglDaX8QJjQ90Woaj8QXiONqskbr+zwtWc6LMzXaNgSTg7yfqDQzZc5nZwP88ZdHW59bIWHX7IZ8SVqwSDJwTZSkrTNs4c1Il8ninUkyUDXKmxdG/Cu67rsPuxz85UxzUrInY84qIqwOD50Dloth5su73BCb5EkDpdvW0QxL/SPL6/7wF0v1b5ctfr/pDX83+f6F63gABNb38/Z3puTTRf/4OPvePv3ta+6aGvgRz6nZ2VuulRhqd9j32GdSzZLbN8wx/3Ppxw72WD9iMsT+y1eOFRh3JUZr0qM1TXWjGWsHW8xuxJw9LyViwQkLCMTXGwnIIj7fOI+jyC2aNppaf4jpixFhHiMY4VU3R7PH4EXj7lUTQmnNPMRfb1ZqIB0YQZUWJcJcGZkw2PCVZf09/wXWn1DDD4rlbN1QScQPJR+mNKNoB+BH6b4QUY/kPOX6MUvXA/XbO3Q6qd0Aimfc6f5S8oPnBorHRNFdviRW9o4Ro+lvkQvENOXKHeVXTchUa9HnJyPOTMXMbMgMbNgsrBS4bItKtft6HH6nMfmsSqv3xVw4GyXPYdlLt0oUa8s8+Bul+lRBUnqoJg7/anJifddsnHsy+++aiX57Z/93n9p+P3LAxxgfHyEmuecu3jHpotjffJHao2Nvcu3KBxf7PHw8zLbpnSu3LHEvc/B/sMjfNcVCrLq8zd3ufQ7FhO1jHpFZawhs26iT5i0+fLDBrqs4pii2gr/kZCq2+LpQxlPH2gwtqr3Fsp6x8zEnNwS3ir9qM/eUwZpZuIZlK6qhQVE4TirayH7TiosdlRUJStn298xrvvvie9yPj78yaE0ZLEQEjyUeiXjwg0BQSxIYkFuAxfkRClRoQ2kzOSCdX00o89CT6Ib5Cv5IKHnp+VKvuvrLLZcdm3VuGr7Egv9hOUedPti8tLpy0SRzffe2EU2Ak7PJ8wtxSysKMwsWlRNlx9/c0CQ+dz3jMVFayvcfFXIs4f7HD1t8forEqbGl3hqn8m2LZt6F1/Q/NF79n3gK5axmLzhzT/0rwG9fx2Aq8LPLvnp3/rs+V/5D2e+eMGmqQ8o9vTK/JLBtmmLay7s8OzBlJNnm7zuYoVKtc2tj8nIkcOmMWHTUPMUxhsRo/UWj+6POTPrMFkFx1bwbKi4Ec1qh4f3RPz8X0+gpGZevXOGoVFI14TqxrVDPKfL3hNCR2rJKq6RouuC1qppcu6rkmLoMZoac/9ug9NzBoZWrN/z1DcGaW6SlJWoXbXvfFWVL28OKOMO06EFUFZwUfKwqjBSmG7CzVf0CJOEIIYwSvNXRlhmwKtEscV3XR5z1cYWrX7GSl8Qq/p+IkaGgSSWP75Cq2NC5vEbP9HjhssWON+GVi+l00vpdGXmFi3WNnWuu6TFuRUhYlhqp/QCmWPnHNS0zruv91nsd3j0RZUNIxV27Yh54uWEl49UGatqXHrhxIrhrP3Apd/vffG/vv1Ps9ff8v3/KuD+VwN4cf3vX3gfH79tmkt31D5747Xb/stNr7tu4fIdNi8dTWh3Kly+NWNqrMu+4z6x7/H/e2fIVRd2sUyZZhXWjPeYbbW573mHiqHR8CQqjkzVyRit90mlFr/7pTpht8KaSoqtZ6Xxj6kLWZlriwNjs9pjbrnHhz/rceS8R93JMNQMXZHK36NpCBGDKjjeWhFGKw8SIwabxixvJwamk6++pOGPr041yc3jhw3ySwFxyQMXvBW/pNZSZsKH0YChuNIxWD+u89M/tMRos81MR6LTh27et/tBRhAKUXCvrzG3VMHWG/z372uD2mOmJdHqxrS6GQstnW6vwhsuC2k2u5xezFhqpfR8macOJPzJbSa27HHJlj7nFgJ2H5LxDJtt62POr3hs3HLdguVt/y8L7dpn7/g/Ic0NP/mvCbl/+UPmq68ff9+PAxD5rU+89jpVvf2e0Q+dX3hodLwxy1JHZ7EbMzvv8aarU04uxRw9qzNeVVk3EdENVviDWx1On66yaUxkNHq2xEgtwLZa/PVdBmGvwkVTYgO50hVVUFUFscrJxQ91z8c0Wnz5cZmH9jap2yq2kg6p5uUhpY6YYCDFpGgY+WZRWKFRsgnLl1Ts27Nyi5/l/ca3tOqvArk4vEr5ATYjTbI8M1PKWYQqMjEQE8RqnsCQ5iDPPcBjmSBUafUcrtsR8cYrF/j43QZzXT3/+6cEofj1kiTIXadnLRZbOuNNhZ948zKfultnoaUzVk/o9hTOLzhsnIz5mfe2+MMvqZyalVk3obFxQuHUfI+vP1Xh2p02F272yTKFE3MJl2+uccON189Nr7vpf6Rp/ImJ8cq/NtSAf+UKPnxpZoWFtvzX17/m9T//5je+fm623aRZ7XP0jMymKZ3l0Ofh5210yWFqVGZypM3dz8HiQo1rtwvjGlWV8ZyMyZEuLxwNuf2RBpOeysWbNK67FEwvodMXAl7LANdOqXoBFbfFlx6BP7x1gppp0TCE1rGkwQ5l92iqOLweOCnx0mETXZaEqb5CKVkrPf5kocovjDWHqSrDS5yyf88jDwU7Mf89Q3mXRQ59FIsWJUlVLtkUs2O9TyegVNwnCUOpaUIM0e2btDpVfuodIe+9cY4FP2WpK9Htp/hhQhyDY8Ws9Ps8+GLGi69YzC7Wefd1MpdsaXNmSegqo0QcOJ/eV2PCq/GGK9ucWoo5O5cRBw43XqzgOB2OnDbYOJlxci7k0i0OOy+7ae6yy1//86ON9K//rcD9bwpwgJGayUIr+ejo9LX//S1vetNSLI1z8UYNlD5P7dV5zfaUizb1GWsEPLQn4KVXKlx/ocbNVwXIeoIsSTS8BE1vc89um7qhs2lSZds6iasvatNsBESJcJ2yrYyKEzFWb3PPcxG/94VxpNBjfTUliTN6YZ7hDmX0YGEIZBkxJ2cljp0zUfPUsdVVfpDrI8vCeVYzEqI83HUwQgRy0a+o9iLysB9kBCGkFDYRee5OnOWcl1zpE6tsnMhYNxbQywFepDlkaeFzmGEaMaoM5xeqKIzywff2eePV85xtS7T7GT0/JYiEUun8SsjTBwIOnUw4esak3anzhitC/DRgqSMsnsPE5+7nEh55oc5lmyyuv2KFuZWE/Sdidr+s89qdEEs9XjrqcfH2MXZd+eal119/1X9Hij4qKf8yG8q/7/VvCnCAbWtttq41P7lz5xU/5tUv/G/XXnNJ9PS+jKYt+B4dX0LVfR7dY+JpFhdsAEXvIJNR92Q2THXZezLm0HGHyZrC1KjCmvGAMOmyvAJVW8K2ZCp2SrPm0wvafOYBDylyuGg649JNElfs7KE7Ib2QMjpPlhlym4qwrQTTEOAuTTdzwx9dSzG0BF2NSdOUHVsirrnMJ8tEBU7TwVQEclptrgBSlIQnX1Q5eEQDOcOPJUFzjcTMO4ogiiQRNxKr9H2N0KeM606SrFw0SRJYRkzX7/HswZCXXrE5cLyJQpMfvqmLYfWYa0t0egm9fsZyV2O8mqAaIWfmY07PwPkFhx1rdXZs7HBsJmW5JRZYcdbl5eMpvW6V110o4achjpWQErGwrHDF1pBN2y6Nrr18+3+76oorfixN3U9KUu3fGl7/9gAHkGU9rTlH7nz/j177J05j5/9z8+tuSNZNqemZeQnTlHjqoMy6psmmKYlG1ef5QxIKBtvWx7SDDnc+bqOlOtMjQq3frHV44UjGibM24w1JhBZVQyabyzx9WObEuRpbxmDtmMo1F2r8x7f32bimT9vP2XxSVnpzm3pCq5tw//MGK20N18j9CbXcsk3LfQjNGMcK0LWIhgsXr+ujyCF+LK0CuXCWItdvxmSE7D+pstLW8OOM5UCmG0r4YUYY5pzu3OGq56vUPZkbrujjuDH9UMo3qTnVVspwrYjD5xL+/E6bJ/eqnDivc+xMnQ2jNldvX+HUcsZSJ2OlkzCzoLJhzOTSLT5znZhz8xGnZjSyxOUd10XYbo9DpzOy2OCybQkLnZAjZzROn69y1QUBPT9ltCGx6BvpBRfcmFx/9QX/z9HoLX9y3+7zdxqG8S++xPl7Yevf+gsoLknbxTPPR6Girf3kJTs27MycC3953Zo11JwWY67E5EjEaD2hH3V57mWHCzcoaHqXj35NYv8hl+mmwnhTZmokIKHDVx7xGHVUmlWFkVrK2rEOzx32+ZPbmtQMmfG6xFhDY7KZMl6P0ZUCJIMse1XO0PWEME44eVYnCVXRfqhFkhol/6VZ7eHHbV45EzK/aPM9r0sZr3fohKLFECqdwpMkN7I3Qs4vxXz2oVHcmsbOdYtoVo+ZtiBKBWFKGKaEkbBC8wMVU1PYPBmhajF+nGdgDuX9yBKEMcwsKZxfSDi/AOcWDDq9Cj/59ogrLljkxDwstmLmlyUWV1ze89qITAk5t5gyswBnZl0u3WDxgbevEKZd9h01uHqbgmn6zK3EnF5MWVw2mF2JcN0JbnnN5l92qpt3Xrh54pPvuvxs+Lbrd/xbw6m8/q8BOMDVV+zk0gs39h98afnQy7M3fUjyNvzafLgr2bImJooSXDfm0T0mG8csNk1HLHR8ul2HC6ZFZRutZ0yOtvjGsxIrKzbTTYnRuszasT7VyiJfe9ZmZdlmvJTCSdQrAR0/pN0X7YeSBzkVjq+6kqBqMZImixGikqt7VOEma+opVTckk9r89TcNfu1ja3nshTXoSoP3v6lNlMQEsTQQR5Sq9xRD9/nY3R6BX+XmCzR+/YclPvDmBWLZZ6kn5W1Klo8DizGgThTJhElKmJtrimmK6N2DWBGqJTtisSskZgsrMrNLNk3P481X9VjwfU4tZMwvJ5yZM2i6Nm+6psWZ5YT55ZjFtszBE3Vco0Kt6nP0XMyJszWuuxhavRBdijmzIPO9b9yWXHvF5K+99qZLPtQwTx2yKpv7jbGL/q1htOr6vwrgxfVr/+Xt7Nr6fPLf3v8jv/KzP/VDH25MvyFYOznOUifE1jSu2OaTEHLwpMGubTq7dvaxzIypEZ+ZlS4Pv1hh1FYYrStMj0U064t8/F6dJ15oMO5KVPO8oLqXMFLr8eTLMnteMalalI6xwkEqQ9PEBOXgaQPXkjBUSmdZTQPTSKi6fZ54Gb7+RBMpqXBmrsLMYpWbL8vYurFHN28lihZFUTJsM+HlEwn3766wtioxXVchafD2qxWuu7DNcj/DDyGKRIZkmE9SOj2dbWsytq/zc4Dnh9F8Ft7uaVy2Ba6+sM9cK6XVSWh1YLmts7DsccOFNj/6BuEsdWY+YXZRYrHlceNF0Gx0OLuY0PdjnjkY8tx+h21rVGQl5NlDGd2uwUg9RNXG+cH33BJccs37P/ya6//jr7yy71gysfV9/9aw+bbX/5UAB/jgv/s+smyJmRn3F6655s3/+3U3vvshTZt65KoL9fjcYszcSkqWGNhWyL4TKhMNmV7U5c/urNNvaVSdlNG6xFijwx1Pwt2Pj7BzSsOxMnRVwrUlRmohitrl/LKCqep4pkhj0zVJxOzlB8xXziocPWtSMYWgYWD68/9v78xi47rPK/773332GW7DGe4iRVOkRG20bEeLZUuxk9hN3TotggAtUKBJ0QAGUhQBmhYB8pKgzUvQlwDdHoq+tYZhBEVhKxbSyAa8a19oiRIXcRuSw9nnzt37cElZceEiCNrQUnreZp5m7v/ci+9+3/nOCcf+labDmQ90bEsjEw99uWsNjb5OiYn+FpbDL7wISgJ0zeXGgsLKmk4qEt40pZqKoeqcnmoRi7s0rO38+XAX03Ikak2NoW7BaI+F7fpbT+6wXm9ZgnpTxbIiZNMuNg4b1YC6GZY5DVPw0VwbX3w0ynNH6xSqNuvlgEpdIh0z+MbzPmrUYrUIewZcmlYLGY100iUTb7JSTriDvb1v/t6Lv/3zk8dP/WigR/ur+eUao3v/aKfp8qn4zBIcQIgMuwZjtGWS32kzLpz85h8MPHf4wJ6Xh3ft9kv1CD3tLkvrHu0xhanxOjcWXDJalKenGsQiPj2dLoWKyVsXooxkDV444RAoAUIK/Qo7M02ml1ze+CBJUpNIxgRRQwkJLoW1sqq4RA1IGuEof9vAZ3s8ryo+AT61pnKvhQhhL7plKzjOVhuPjwOnwp1GH3XLEEiRQ3GV7Qg8TyUVBYGP633cS3d9gWXLNFsa9WYE0wTb8+8NhRw3oGFCua7QNGM8cyhgd1+DQtWn1vDwfXB8k1fOSczeTfPkpERnW5OlDZ9Gy+PshwHNeoqJoRbv3/So1FTyXR5zKwG9WYN8fre/+5HJl2vKvufOvHP7ZDSW/I4QSQbyiZ2myf+IX/sk81dFfuTrlDZma6PjxksNVmaKjQ/24q2/gD/H+C6Tlc2AUkVhfDBgqaTSkdLobGvy5jVQRJzj+wPKrTqeGyURNci2OTSdJv9yJoZrRujP+MSjKpmUINtm47gyAbBRgQszOgldpi0easq3CeVteRnKsh/6kW9t3guAgK2t+ft2Nu9tE98/4JEQhGN51xPYjoJlS/ieD0o4MVWVUA7QbMmUqhqd6SgHRqq8fd0lQEeRBYWyiyxBIi6xWozS05XmD58p8+NXDNbKMtWGTG9OEE/WePNSOy88mWR8qMZbF2w2SiqGJnF9TqKvWybX0eT8bZ1HegSfm8rRm217tSP3xNVA7ftbfLM2Pjaw03T4pfGZfoJ/EpmOISQ9t2EG8e+eevaL39o7+eSrR584ylIpw50ln3I1iqJazC/rTOzyubLQ4v3rUcZ6VdozDc5eEKhCJd8pke9o8P5HDtdvp9jbpxCNSkiyRF+XQ9Otsbju43qCYk3i0s0omQh0tymMDYLtu5RrLi2be3ZpH0eDhx0YsZUudg/3NcLFfd9ti6q2yxDHlfE8ET7tRahsbEsEqKrFtbmA5XWVaiPKwRFBe8JDkQT5Lgk90mBxw8X3fOqmz/U7Sfb1Rzm0p8FiyWN5I8B3DU4frrNRb3Jz3uDRR2TGhmtcmZUY7FZwfYuYppBt89k/EmNy8ijHj5549dipZ781Nq59d3y0a+NBIjc8YATfxrFDoxzalZh//vSBb4+NHXjx6VO/e66j93NMjUcxtCq9HSoV0+Lsh3Fadox9w03evGIxvxiht0OhL2uzWK5y9nKMXV0aU+MBkh66QuU7m5y/DavFAMeBmumjKQpdSYlsu8LUeItG4LBRDWWqnhdqBiWxndnDlhOWjyT7HysGtxVWW5s/IQLc4ONOSNgtkfA9CYKwo2PoEu1pB1mv8u5Nm9ViwFrJwLENMtFQANbdLti32+HuZoAqu1huk3dvwNxympOTLrmuKkvrLktrBsPdOscPlLgy66LLKqcPCpLxBourBpV6k/m1NF869Si/9aUvn5sYP/iirx359sJS17wQ+3b62H8lPDAlyn/74UYaYCYIghng6vSik/vCsbG/e/f89MiEuCy/f8NnrEcJ9dKegybp7M6rdLcL2tKb/NNrMe6uqDyxCwa6TW4t+8gYtCWbGJKCUCAQHm9f16lXNcaGJdIJQSphYwUKrhVgO2H5ETq6BluqRWkrIsVDkT2EUH7B+Od+p6ogCGNGLEeEywtOgO2EKQ7B9k2jCKKGi2XZlBs+lbrPSlFjqlPn8LjFexe3+uxColx3aNkaZgBzay5rJZlDewK+etLin/+jyWoxTvRuAtv2UDWLG3MKpiWzu7fFlTtRnj993Et1jM8cGav9STp3dAW4KcQvu7jx2cQDS/BtbB3AzcAv3HQc/9n1SqIne+TRly3OJa/PzMVy6QblBqQTgh7XZjDvcf6WSm86RqVmkUoEXJ71mVuWeHIyoGY5uK5EWwwCbKo1ib4ODVmTcLwwv0cWMg7h4CYgDFU1lDDZLWoIUnGHVKKFEMG9EkaRw5dSf0sZGDrZQuDLFJuQbQQ0zYCWLeO6oRHQ/bYTQRDg+6FPuW17LBYSZGIukmRTa2p0tPmkok2W1iMcP+xRHK5TriVZL0msrLVxYNRhtuAh6YKNikIy5lMoeewfldGi+xtHTpyqpmPWV5RI/9KmK89nHnBib+OBJ/g2hJQlCPz5I1Pdd127PnHwsHj88NTxf1hcuunevHWrTQlWEo2WRNOxWCqo7B/xWKvJdKZ9PEmQikfo6fJ477rCRwsqX5gKWK/6XJ2Nc3xCcKvgkqoqeJ5DRJLx5C07NQ8uzahcn1XpjkMiCl1tdS7P2uQyGVTRQlN8YoaKocm07ID6lr2aH8g80iPoajdZXdXob6pUGxITQz6Tww6VEkCYrBZ4Al12aE/JpBJVLs7EOXZA4fwNj2oDju73ODLusFTwKNcMTNehVZZo30xwdV5m35BPqWKSMhTMCAz352r9/SObe8ZGFVWRvo4x8k5nm1FxfXxVfjjIDQ9oDf5pEEJCCOFPz9ZL7Z351zPp1Oif/+C14Zf++Pe///zpiWtH9nVcrFnxVrY9zVq5TmE97EfbtsOefperCx59XT6PjTkk4z7puElfm8pw3qYzbpGOefz8ik5xUyeqS1h2KHi6s6Iyu6wR1aE97VKsW7z8sxQzCxm+9rRNf6dHd7tEvqvFStFkdUOwUND41zdi7MnJfPUEJFM2xWqA2RLsygUM5MP0Y10LN+GzKZ3jkxaVpsRmQ2FmJWBpLU65GVCue7w7bbBQ0BgdbDE9rxBRXVqWQz4D7akqrp9iZFeqVXPyF7P9R64dOfa179fu/tuwbqRHO/O51zsTGyUhxENFbniInuD3Y99YDsIWcrNRmUGS1R8qivRDU52Q23sSP57oNUfPX7t1rKOjJK9WTO6uK3QlTGxH4srtCIWSxMQul3endbpSMvmOOitFiEUUqiaMD6iYjs/Kpo/vByTjEDM0LAcUxaNcs4kpYXR4emtyOpDz6Ooscea8huupDPUqlOoKPUkJyzLoSJVxWzF0TVBrRCjWJCQJ8h0um/UWy8U4EaNGs+GxUpJZ2fRYL2k8Nlbj6m2PbBomd0Es4tEwqwxkJQpREEqCxw52e0Zs7K3H9wU3i6XmN9/4wPNU1WD3sR8FHdmh5k6f1/8lHkqC349YagQ+3oh0Vwq1b8Qjeiad2/hB0T6jJZnz+nuih2zHPbxa2KRUK9OyVQpli9mFCAdHJFqOG6YluILpeYMn9ngU6yZLTozlYsDKmsT+YRDComlJ/PRSkqSu4vnQaGlEdIGmWVRqkE5I2J4dWqPpGrLsYbYknp0K+Nn7AX7Q5PKMxlCnhex42C6slmxKZZnH9gou3fJxbZeE4VPYNJgc1VneaOLa4buAIEYu20bD0z7UI83zuZ5O+fOTX7ZlLfeXvm+WugZSO30kv1Y89AT/JHLZBEAJ+FOAm9fOIQlxolxrPtNqmV9pNMuPVKoOd+Yus7tXIdtW47V3oGXB04fr5DNR4lGHlU2Vp6Y2uHirnfemDV480cC0PCQRI6Zq9HcFXJuHZDyBIkvcXfdZWDM4PmFxtxDgejpdSZ3xIYeFgkZfLo6L4OLt0OvkxZMWkufyn5csJgYVaq2A5WKExaLPU/vr5DM+F2YidJfiZDs9oh2TDHTr6Erio1Qy+rLtGmcQnDvw+HHgpZ2+7DuG3ziCfxKjEycAzlmt0jngTatlDdvWui/O3vKDgf6hbGf6L+YrywhJ4cbyLLZjUqnXsawU730kIwNGRKFQ8inVBAPZFr0Znb4un6XrCg1TQZIEVVNhaVMh126zWRHgQ8KQiEZlLs4KFF2jYvpM7XbYrAVU6uHRHNhdxWwmkWUTx1Z4aspgpH8vjuOQHRyjXtv866Wl4uzY3mNST3ebJFBuA6/nspmdvrSfCfzGE3wbupEBeH3789zCBrKipxvV5bf3jV/BD2Sn1Bz7s4FOPu95FqN7Jf7+lfPs722QSQtKDZdCRULX19DUgFTcIaZFkYS7ZasMBBJN06duemiqS90M2KgELG7aZFMuIpAY7osSK8pYrk6AwVNTEVrKSaIRF9/XGcxbP5296//Idjx1YtcBBgZ6ztktq6xH23f6En4m8f8E/xQM9ncAlIGfAEzPFggCppOGm13dDPxExCGTvoOh26EBZkRCq3vOmnv0e5ms//zgUMmp+3EG8y4mGkZMIpKW6O4xaUoysYjCRCAYyPkc8h2eOayoqTT/Pn/7+vcCdDVMidCQ1RhjY/vIZATlsiZlkqKQyQazRvR/J+LjYcfD1RPaYfzNP54FyGaUUurEgWIwsxAj3+VxZ1FFMyQW1iUeG7W4uxZGgE8vC4Y6fG4u2jz7hC72HzIqBEFBSL+z03/locF/AewvreoE4n9hAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjUwOjIyKzAwOjAwIAGtlAAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODo1MDoyMiswMDowMFFcFSgAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35683699
    {'hecke_orbit_code': 13510799251210320, 'n': 1, 'trace_an': 2}
  • id: 35683700
    {'hecke_orbit_code': 13510799251210320, 'n': 2, 'trace_an': 0}
  • id: 35683701
    {'hecke_orbit_code': 13510799251210320, 'n': 3, 'trace_an': 126692}
  • id: 35683702
    {'hecke_orbit_code': 13510799251210320, 'n': 4, 'trace_an': 0}
  • id: 35683703
    {'hecke_orbit_code': 13510799251210320, 'n': 5, 'trace_an': -19531250}
  • id: 35683704
    {'hecke_orbit_code': 13510799251210320, 'n': 6, 'trace_an': 0}
  • id: 35683705
    {'hecke_orbit_code': 13510799251210320, 'n': 7, 'trace_an': 292598684}
  • id: 35683706
    {'hecke_orbit_code': 13510799251210320, 'n': 8, 'trace_an': 0}
  • id: 35683707
    {'hecke_orbit_code': 13510799251210320, 'n': 9, 'trace_an': 11866737826}
  • id: 35683708
    {'hecke_orbit_code': 13510799251210320, 'n': 10, 'trace_an': 0}
  • id: 35683709
    {'hecke_orbit_code': 13510799251210320, 'n': 11, 'trace_an': 41326831776}
  • id: 35683710
    {'hecke_orbit_code': 13510799251210320, 'n': 12, 'trace_an': 0}
  • id: 35683711
    {'hecke_orbit_code': 13510799251210320, 'n': 13, 'trace_an': 1887051472228}
  • id: 35683712
    {'hecke_orbit_code': 13510799251210320, 'n': 14, 'trace_an': 0}
  • id: 35683713
    {'hecke_orbit_code': 13510799251210320, 'n': 15, 'trace_an': -1237226562500}
  • id: 35683714
    {'hecke_orbit_code': 13510799251210320, 'n': 16, 'trace_an': 0}
  • id: 35683715
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