Embedded newform data - 36.22.a.a.1.1

Formats: - HTML - YAML - JSON - 2023-11-30T23:38:44.705167

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  conrey_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 17424, 'analytic_conductor': 100.61184394334235, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1]], 'atkin_lehner_string': '--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [36, 1, [19, 29], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-11268090, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 369098788, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '36.22.a.a', 'level': 36, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '12.22.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+11268090q^{5}+281914136q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '36.22.a', 'trace_display': [0, 0, 11268090, 281914136], 'trace_hash': 1738813881093718976, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.002', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.978', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.042', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.936', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, 0, 0, 0, 11268090, 0, 281914136, 0, 0, 0, 36172082484, 0, -449098578370, 0, 0, 0, -2121858786546, 0, -4609406233900, 0, 0, 0, -95095276921656, 0, -349867305955025, 0, 0, 0, 2245742383351266, 0, -3155693201792656, 0, 0, 0, 3176633856720240, 0, -18178503074861482, 0, 0, 0, 169649739387485910, 0, -158968551608988244, 0, 0, 0, 134697468442682736, 0, -479070284006657511, 0, 0, 0, 15637375269722538, 0, 407590280917135560, 0, 0, 0, -2977241337691499484, 0, 3603855625679330702, 0, 0, 0, -5060483199945213300, 0, 21066199531967164004, 0, 0, 0, -21980089544074358760, 0, -17054415965500339222, 0, 0, 0, 10197421380797593824, 0, -115020124425041803552, 0, 0, 0, 96628520442403345644, 0, -23909295774091117140, 0, 0, 0, -60427571095732966650, 0, -126607237700006838320, 0, 0, 0, -51939204290146251000, 0, -407820224794143352798, 0, 0, 0, -1950763261541373757638, 0, 898058258856061843544, 0, 0, 0, -3220130092497702513228, 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• mf_hecke_cc •

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

  
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[1.64012569106895, 0.0], [0.0, 0.0], [0.05703643264470881, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5369194084113229, 0.0], [0.0, 0.0], [0.943968075520558, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.41674965453119, 0.0], [0.0, 0.0], [-1.6928413068139783, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.2084667487737067, -0.21980141084081178, -0.21628733787919213, -0.3246015938290435, -0.2703694462459249, -0.26374238467145467, -0.28846294283781143, -0.16746999127754542, -0.3061883856457776, -0.30028996268970076, -0.025745805361620987, -0.34476668253607506, -0.2200994038215048, -0.24902262754907406, -0.31189581603472344, -0.19758276261782953, -0.12526131381660854, -0.31561130167119306, -0.28730097119475834, -0.3697443883076768, -0.19448395340680047, -0.26637558232524067, -0.29529328188460224, -0.4207669799742239, -0.19660743885331472, -0.39528468191100863, -0.2679172883974777, -0.34370705036355487, -0.378972028803902, -0.2754744546910267, -0.3304539020464677, 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'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 369098788, 'label': '36.22.a.a.1.1', 'level': 36, 'weight': 22}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'AL_dims': [[[[2, -1], [3, -1]], 5, 3], [[[2, -1], [3, 1]], 4, 1]], 'ALdims': [0, 0, 4, 5], 'Nk2': 17424, 'analytic_conductor': 100.61184394334235, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [36, 1, [19, 29], [1, 1]], 'conrey_index': 1, 'cusp_dim': 120, 'dim': 9, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 369098788, 'hecke_orbit_dims': [1, 2, 2, 4], 'label': '36.22.a', 'level': 36, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 132, 'mf_new_dim': 9, 'num_forms': 4, 'plus_dim': 5, 'prim_orbit_index': 1, 'relative_dim': 9, 'sturm_bound': 132, 'trace_bound': 5, 'trace_display': [0, 0, -31249134, -43147656], 'traces': [9, 0, 0, 0, -31249134, 0, -43147656, 0, 0, 0, -33213025548, 0, -89073033570, 0, 0, 0, -4793865260634, 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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: 467614
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098788, 'source_is_minimal': False, 'source_label': '36.22.a.a.1.1', 'source_level': 36, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098788, 'target_is_minimal': False, 'target_label': '36.22.a.a.1.1', 'target_level': 36, 'twist_class_label': '12.22.a.a.1.1', 'twist_class_level': 12, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 22}
  • id: 467615
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098788, 'source_is_minimal': False, 'source_label': '36.22.a.a.1.1', 'source_level': 36, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 369098764, 'target_is_minimal': True, 'target_label': '12.22.a.a.1.1', 'target_level': 12, 'twist_class_label': '12.22.a.a.1.1', 'twist_class_level': 12, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 22}
  • id: 467616
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 369098788, 'source_is_minimal': False, 'source_label': '36.22.a.a.1.1', 'source_level': 36, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599996469296, 'target_is_minimal': False, 'target_label': '48.22.a.b.1.1', 'target_level': 48, 'twist_class_label': '12.22.a.a.1.1', 'twist_class_level': 12, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 125550
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 2}
  • id: 125551
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 3}
  • id: 125552
    {'charpoly_factorization': [[[-11268090, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 5}
  • id: 125553
    {'charpoly_factorization': [[[-281914136, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 7}
  • id: 125554
    {'charpoly_factorization': [[[-36172082484, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 11}
  • id: 125555
    {'charpoly_factorization': [[[449098578370, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 13}
  • id: 125556
    {'charpoly_factorization': [[[2121858786546, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 17}
  • id: 125557
    {'charpoly_factorization': [[[4609406233900, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 19}
  • id: 125558
    {'charpoly_factorization': [[[95095276921656, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 23}
  • id: 125559
    {'charpoly_factorization': [[[-2245742383351266, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 29}
  • id: 125560
    {'charpoly_factorization': [[[3155693201792656, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 31}
  • id: 125561
    {'charpoly_factorization': [[[18178503074861482, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 37}
  • id: 125562
    {'charpoly_factorization': [[[-169649739387485910, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 41}
  • id: 125563
    {'charpoly_factorization': [[[158968551608988244, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 43}
  • id: 125564
    {'charpoly_factorization': [[[-134697468442682736, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 47}
  • id: 125565
    {'charpoly_factorization': [[[-15637375269722538, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 53}
  • id: 125566
    {'charpoly_factorization': [[[2977241337691499484, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 59}
  • id: 125567
    {'charpoly_factorization': [[[-3603855625679330702, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 61}
  • id: 125568
    {'charpoly_factorization': [[[-21066199531967164004, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 67}
  • id: 125569
    {'charpoly_factorization': [[[21980089544074358760, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 71}
  • id: 125570
    {'charpoly_factorization': [[[17054415965500339222, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 73}
  • id: 125571
    {'charpoly_factorization': [[[115020124425041803552, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 79}
  • id: 125572
    {'charpoly_factorization': [[[-96628520442403345644, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 83}
  • id: 125573
    {'charpoly_factorization': [[[60427571095732966650, 1], 1]], 'hecke_orbit_code': 369098788, 'p': 89}
  • id: 125574
    {'charpoly_factorization': [[[407820224794143352798, 1], 1]], 'hecke_orbit_code': 369098788, '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': 1, 'label': '36.22.a.a', 'level': 36, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEjEBBf66pgAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13mCTZdd4J/+6NGy59+e6u9nbazEyPdxgMBp4AQYAESFCkKLcUueJS7nskUWa1Mo+05HKl1Uq7xFI0IkFRtAAIDAg3wGAw3vS07572rrqqy1f6DB/3+yMis7IHICVxSYKQNh7Ek1XdPcjMiDfOfc8573mv4P87/tiOT33+BaQUU6cvzlR1ovWmMRPLlBy91uHtd42Khw+UVp8/lrBpbG3svv1z+uTFaRxLMjXWo1RMRCr3NEEvjm16HGAj0AA8IcS3+6t9xx7q2/0BvlOOi9cWAHZonU4Bac8L+fRnfo89m26xfeMajmFxdfYzUV3f+0+9bv27ldDR3ILF1Kgg6vl0mrE1N7fyyzfnBCLx/4eblW44v7jCxjGY8UMqpcT04+u//+8+ef6fvjn7WfF//rMf/d8W5679rhOfPNptXjBSbSOEkKZpLgLX7MKmb/cl+Y44/r/Q8Accb15aRki7Fvtzb1+eP89oxY/mG5W/3Q2M9xhCE0YRx46doOQ22L2pRaNjcHPJhTQgjmJGypoLNy0O7kiYX5aMVGLKRZsr84okjRgvCW6tRhzamXLppmS0kmJZFo6juLYsaXRh72TMnq0j7Nt/FxoTZYAfq69euB78m4qN+cCDd7B5euPzEDaEmPp2X7I/k8f/B/D80HoZ4H3g7wp6i+kn/+MXUscZ2VGoTPz9hYVbTNZSZubmabVWiWJFvSdJtIVjasq2Zqkdc2neZ9OoQ9U1METEeMVizxaDng9CBswtK/wQbq0KDCy8IGLXFs3USBeJpFgI2TDR4cKNUdYaLkUnwVYRPT+l1TWI4pja6DilyjRVN2LLlq0sLjd/Zm5++doDj31EVkcmZcF2rgBfObCz+u2+pH8mjv/uAX71wgtoLd8+Vll779xS42O+391XcVv83tM38YMYmQouzIVsnRAUbBivpszVbQypkSJlYy1hZsmhWNAcvRLQCwSOBatN2DGuKLg2U+Mxbz/U5s1rFY6eF5ybiXnkYMKmsZRiUbBlqsFKw8CxwQs0xy+MUXIlV5csNoz4SAGWkbC4ZlAuxEiRsHkyZnaxSLkKEpOW3s3GDTWKBedCmpQ/tW3CfTpJ9fMf/u4nvt2X+Nt6/HcH8BvzTUzLHmk1Vv7X33vqS9bxs9eT73m8em+kg/tOn1sijVd4x72SV05XWel4vOc+xYsnHXZu9uj2TOYbBkEksFXM/s0JkyMBax3JyasVoliwZ5PPUsfgzp0el66btH1FGMAD+7tcnC1QdkPOzyke2isJo4C2rzh5Q3J4W0KrY7JrOiSMJKevCVY7DhtqsG9LB0tJwggW6iadIGbXRsXzJ+Gd93eorxX5xkmfx+9NGKuM4MWjkDpHn7x34ZhZuMPYc+j9Ybky8g/RYV3IsW/3LfhTPf6bB3i7fg0hTNFd/Synr24yElH9hB+097509Mbbus15Q9Jlx8aInidYXHE4fSPgx7+3Qa89ydNHE7ZM95gquSzVYzZOwKkrBpEGgcH0SMK9ezvUO4Ku73DumuLgzjamZdHpSaQQ7NuccupyykrbpRd1uHtnSNerUG8LTl6S7N0akwpBs5fi2pq7tknOXlN4YUSjbXDvHs3UaIQhYuLE5PhVi80TmuVVg7GRNtsmizxzxKITN/gfPyQ5fq7C7EoXLU32bYXRssnm6U0Jzs4XHbtwcXGl+xOvXQySv/LRdxGEkT6wd+u3+xb9iR7/TVZRjp2fRyklV1aaTnnzPw2Wr/wvfyeM0h+x4teiG/PBHUkSOlURoRzJcsNkvtHhQw9LLl4rsNyw+cYJk+97W4O7d47y9RMWuzb3mKqWuDEf88C+kAuzFtViBEjO3iiwcSRlraF4+c2Ely/DnVs1+zdL6h3Bi+ckTx6MqBYNGp0SswuKZltjmCF/4f0NZhbLNDuCe/b63LlrBZMai6vjzK7A/m0pXii5vmhTKyjOz0n2boZOR7J36yrbNzp8/Q2La6seH317wuJKlbPXBBcX4AOPthBpibPXfV47N2MEycITllIPtcPCA9Nbd5hh4P3H4tLf/Fdp8KYtzLJPmqRCbf9237o/9uO/qQiutQaQnXan+urJqw8HUfqLN69dihurV0dbzVvlzeM9rt4SWCbctUtwebbMldmUc7c83vdIi0f3FTl1scrzp0Oqo12+91HJmQslXjzrccfOmOkRF7SHUAJTKq4sKCbKCa1AU3ICZpYT3pxNKBk13nN/l0azxOvnNAe3C3ZvSUhiwc0VkyRJ2T0tOLAj4vU3BfVuj3ffJ3GL81y8UeLGQo2CLej0TMYqMVcXLCwVYEgDnSo2T9U5sNXghRM1jl6L+PDbW0wWq7xw3OHE9R4P3tXgg/dbXLg+xpXZlIvzCXft7GEacH3RZccGyfjoaPuBe/as7dq1SyWp+qtu+Y5XnUKhiSYV8r8dWPw3E8FvLdS5Nb+6LQ1mpnuB+tTpY89X2s3Zou+18CI4uN1jqW6x1jHZurHJ/p0AJYJQUW/b/O4zRUaKbe7co/DDIi+d1Xz25R4ffVsLxylx/LLJxtEuo2WL2SVF20vo9TyKkyZRqhgpGmysSR4/6HHicoySAtuKsQsxR68ZFEsm02MhQQybRuHw3hVaPUUQ14hSxZkbklOXtmIbDraVoKoBXgCVssd2oN21mF1OGK32GK+UePp1izM3Qz7yRJfpapmXTzmcvu6zf2eDH3oy4dKNGjcXJFdmI87eStizI2FTzaDeTbl4M8A05suf+9J82S2eZN/OLb+75w6ztdpKP/bAXVvmQq9xw3Jr3+5b+sdyfMc/qnnU3vv7X3pp48YJ49+362/uvnzxhLHainDMhCiV3Fg0GClBq23w+kXBUtfj7358lYf31jh6fpQLN+DE5Yix8QaHd4fs3VTj4o0CRy4kuMUWB7elFK0il2cV0vRxLYFjpYwUBAtrJmstA6USSm6EbRnYVsjNZQMlA/ZvUxy76PLIoSbVaptf+EKB8YLNo/vh+CWL/Ts8pDC5saywDRPHSak5CaaC1ZbJrTWDSrGHa4FlGVhSceWWplDocMc2KJkV3jhncWHOY++OOod3wnh5nOMXbC7ORBy9mnDvnav83Y/51BtjvH6uRKsXMlKKuLqoCGIDx0jp+g733HVn8uh9d1yuFpMf373/0Xng4nd6F/U7NoKH/iJKmbuvXHnlrtW14G/6natvf/HcRTq9ZTZNSK4tWJRdiQZqJQPTsBDA5lpEx3P44pEijxxc5fBeCdTQ2uTklRq/erHLR59s8/AdEWPVIkfP1/jq6z4bxnz2bRVMVBRX5016fkS3B62uQCnNprEEDImUIV5PstBwIHWZqITs2tTj5dM2ATHf+1hEEha4MicZryk2jQrSNGaloWj7AV5k0elabB4LGC37GIZEKUEUKa7OwXitx0N3xmysKS7NVHjpAszXO9x3Z4cffCJhdn6KExdtLs7EnLiWEIkOH7zfJwpq3FqpQCKJgoSG1mwaTYGEUgFePeNz+eJLxuLc+X0HD+z7RitInk+k/W9nl1unkiS6vG3Dd2b1xfh2f4A/yjE3u0DXH93mt17/Py5dPv5PXnjp1W0OZzBVzOU5Fz+OiCOTghuyYTRlyySMV0xSrUi1wCRlZtHixmrKtg1tpmpQsB0cU2GgOHnVYLHpUy6HHNiesnfaptN1mFsRWCoi0gbzDZP5lZR2KFBKMVmNWWqk3FiwqJUkAsXESES9ozm0zUfKAgtrBfZssrk0YzO7qtm/LWCpLoliEy802Ls5QghNpyeZrMaMjwRMjISYElo9A9uGPdOCRqPE14+5XJ73GRlp8Y57PR7aa3P15gQnL1q8eS3m2kpIqdrir7yvy4GtFWYWaswuKuaWUmYWNY1uSpSCZaWYQlJyumwYLfDmNY9T56/Rasxsa3ajj7e6YusD+6Zf/Ws/8ZPNf/2v//W3+9b/Vx/fUevP0sIM0iiOh97lvzl/44VD7XbnI19+8RIpZaZqKRvHeiyuVXn1bMIDByJOXjV5++E677hLMLc8wsxCgbllg/nlhJuLEddWUlShy0ff1uWDD1jcXBzl/HWbK3Mp529GJNJn80TII4dStk5Ibi4WmV2S1NspfpwiJdRKMF6JqbcV7a5BrRyihKJWTnDsiNfP2+yYShmvxSysuphGyq21lImaZseGkNfO21iWwWgJDCNirAiNrmCtK5gop4yUI6SEIDSotxUzS4qbKzFbp3wePhQzPa4gKXDheoGrc5pzMwkzawHve7TB970twDVq3FiocWNeMb+csLAacWNZc6OuefvhLk8ckpy9Knlof8JLp0sst3021EyqpQg/igjkIUarxc8++dgDZ+7Yte3fdrq9ld27vnNKi98xAP+/P/kFtFBlI+3+ghFc/4FG46pstANWmwUwAg5tlcwtabZvCmi1Xd64FPH6ZYtarc0//ME17t9dZGZhlNkll/kVxfxKwq2ViAtzKcrxeN/Dbd59OMVVFeaWS9yYN7k6B3NrCabyqJQSltsGvV5MEscIBLbjsnnCZPeGkGolYmFN0Ooqdm2MQEOYwsySQ8fTlF1BwRJIYmw7oVxIaPcsZpYhSC1Srdm3MaTTS5hfVdRKJjs2xmyZ7FIsBAipCUNBq+ey0rKoFQSmNJlftrhyS3BjMebmWozt9njnfV0+8ADYssrFmTI3lwwWVhKW1iJurmiurGruPbDCP/x4h7FSkWMXSrx+rkTdC9m9weDmEhzYESJSxUI9wDBcpjdsTR++b/p3piacH/P8pL3rwA98uyHxX3T8mQZ4r9vFLXRJU/OnVxYuPvKJX/6iFMp/ZLKwqL52tMqhPS32bXZ48YRNK+iwZ6PD4ipIAbOLktm1lJsNwfhYk3/2I2vcv6fA7NII88tF5lcVS2uaxdWYuZWE5U5MdcTn0UNdHtwHlnSxDZulusPCqmKxLugFEMcpjpVSdBJqlZgUmFmMaXdh66RJ0Q3QWoCw6HopW6YC1poKdEZFml0IYtBo6q2QTRMmHc9AGBqRBpQdky0bfJo9wcy8IkkVo2VJyRHYJsSxoBdIFuuShTXNUiPGtn0wYx7a3+WRA4Lxsstao8zsks38KiytxizVY27V4eqa5t79q/zzH2kwWS2zsFJlbqnEjSWNlAnLaxG7tvRotWu8eCpmz44ed261+cKrKfcdqMRjo6OvbN79wXTPzp2vtLrJP9g6ZVOpFL7dUPkDjz+zHFzXfx6z/Cjt1j/4l1955uv/v/Nnnt5FtLbt+oInD+zwcc0it5ZTDu6ss2Xc4tg5i6nRNpsniqw2FaahsQyNJWF+zeXIFcmhnXX2bfYpOGAqiWUaWJai6EoKpqTXNbl4w+GZ4xYzywHtOOLibMDkaJ0PPtrg0K4O9+5rcWM1ZrUnKNg+1+Y1rXaRgzskTT/h/A2DUkHx5gzs3qjxwwQ/sVAqolaCC7M2hkowZYwywQsk9+/r4fUkh3YltL2EmfkS26cMioWQZqCZqPZodNv8zjfg5PWE09d9tm5c4869bWojIe9/qMP3Pa7ZOVUiiapcv1Xh6pzJ7GLK3HLE3HLC1WXBzWbEXXtW+Gc/0mGyWmV2cYSFlSIrTZM4Nrg0o3GLXbZOuPz+yxI/6XLPboc3rxdYbAVsGfPl6SvxtivXzm+fqHQe2Lltlzs6Wvn6X/8Xv83rX//Utxsy3/L4MxnB1278eyx7wkiim//Ll1/s/qOXjy0aWydWGa0q6s0SRy8nPHFPTH2txNxKh3c90KLRGmN+1aRWNlmpG6y1EprtmHonZrUFsw2Bcn0ePlDnBx4P2T5RpNkts1x3WalbrLYE9VbKWiul0UlpeyntQNPzY0bLEVsmU0Bgm5q5ZRMhbbZOGGzfqNk40WOpEXDqcol7dmsKboOzV0YoFUPC0GS0luL5cMcWn9/4RpW9m2OCQDNWkUSJR8mxefNG9tDevSfm9LWQpTWLTaM22zfAlqkQw4iYWwXL1Aih2ToZUytJOp5Nt2fS7pnU2wb1Jqy1UuqthNVWwmIL1vyELZu6/MDbV3l4n8IxyyysllltOKw2FfW2oN5MWGnFVCuSpdWIZtDhnfdYzC4UmW/3eOdhzYkLDmu9HqOFmDu2uUTm9uTa2uS/fMddk//87I1G8k/+1g99u6HzTcefKYBH3VOogutevTi3Ze7m698/O7f2L147WadQiClYguNXIj78qMsb5wrcqPf4wEMJrXqRmZUe3/Wwj06r1Ns27a5BvQ2tTkqzE9PoxNTbmqWWYL6rQXT5yGMt3n9/yo4NDmFYoNFyaHYtWh2DRlfQ6Qn8QBPGmiQBQ2psE1xbUy1rJkYilOlzdSHkzBWbNC7y3gdClNnk2PkK2zbAl4/EPHbQZrnl4SiDOIkYqUEcmSgzZm2twKOH23z51RLbN8DRywEmBd5zf0osPM5cTbg+56CkxWRNUSsKXFtgWQJDQJxCGGn8EDo9TbOb0umlNHspa12NlyRsne7x/gdbfOSRENISa80Ky3WXtZZJva1otKDZSWh2YrpewmoHYiPmux9KmblVYKXX47seiphfrHLskseH317n2IVa1sSSEk9soFKb+J8P7b/3d93y5ptx5Hnvedv+bzeUBsefGYBr/RpQs5qrs3/p5Inrn/jcV0+JtaYnDSmYrJlsGOnx+69aPH5fj70byjz9usWq5/E9j0WY2mTXlg6OZbFSL9LsmDQ6imZH0OpoWt3sBra6KY2uZrkjWGil1Ko93nVvh4f2xWydNCi7Ju2Og21KwCCMJWkqSDX0fECk1Eo+l29pUh3ytaNFgp7Lrk0WDx/qEaVNXjhe5e7dJpcXu7QaZR481OPrx2wmRzTnZzT/04fbnL9hMzkieea4wcN3GNR7ba7NjnD3npAXznjEQYGH9lvs3OzjxV2+esyARHB1TlEuKJSAnidJtSBJNVEMyBRlpbS6mmIpYvOGgEfu6PGue2JGiw5L9QprTZdG26LRUTTaglYXWp2YVjem1U1o9TSLLQmOwYENGpTH9zwa0W6W+cobgp3bGrzzLovPv+KyqRYzNdYDIE7LqVl9UJfG9vxEbcPOX/Xaq+FH3/lnA+R/JgCeJpHsed4Hv/bsU7tcs/2zzz5/zIyiAhdnQzZPhTxx2ObidYezV1Nm1jy+6xGf3RtKPPOGRT1o81c/tML9uxN6vstKo0Sr69DsWDS7ilbHoNWDTlfT7sW0uwldL6XV06x0BStdiJKAO3d7TI0kdHua9z0YsG0qJU4kSmrCCJ4/5XBz2WFDLebsVQfSAvumDQ7vTbGdHscu91hZLXJgW5FytcGrp03u2+2w1mvSaJSZmtIcOW/wQ+/o8sZ5xfSEyWq3RaM+wuE7erx6NmHErXJgV5flVosj56q4qsi9ezV7tvggu5y6LpgYiVhaiXjhlIkfGUgJSarZtiHkXQ+GdLoGG2sph3dDGBaotwrUWzbNrkm7Z9DqStpdaPcS2t2ETi+h3Utp9jR1T3KrLemGIQ/s6fBjHxC0WyN89Q3Yta3Odz8MN+fHOHNFcmE25Mn7m2ydMDh7xaUXxWzd81A0VpJ/773v/r4rtl38guOo9NuNrW97J7Pe6FFv+D9y8fzRf3PhwtWROJpnrWezZ6NG4nLiOkxv6PDE/R7T41WeP1HgmSOgHumye1vCL325yL/4jZAPPrjKD76jzvZNIYtrZWzLxbUtCrZJ0VV0XEnJM6kUFT0/oeslTAYpXqDp+Db1FYe5WU0Yp9xajLFtDQgsQ6OkoOcZCEzinuKubYKdGzVbNvUIkg5fecPgwpUa777H5vAdDX7tKxpLFNi2qcfpVw02VQ3Gyj0cwyWMTJY7UHQU05OCkxdCDu9xefzuVT75RQ/LLPHOBzSm3ePZIyFffr3IuesuOzYW2LYhYbwWsn0s4uC2BMNIUYYGNAXbZrxqE0YmnZ7F2csmXV/R8wy6vqTrQdfXdHvZd+94CV1P0/Y0TQ9WegaLDU2x3OR/fN8qH7hfM1Wp8h++6LFlOuI99xlcvl7j+ROSi/NdHr7bZ8dGi9MXKyw1A3Zs1Fw487q5fXrq35w+daL+4IP3/e008T8pDee/b4A//cyXSZLkrz33ypGRTZUOlhmy1rBpj/Z494MKTYXXTglI62yd0nzXo1VeOFHihWMG3STBDzUnL41w7KLNlfllPvxIl0f2+1RLZeqtAsW2Q9mz6PYUnfxme76iFyj8QOOHKWGkiSJNnGRnGFvoFKQhMJXAsQTVkqBWgqmxlOnJHmO1Fk8fgxdPmMi0wrvvMblrX4eXz0WEfpmH7xK0PI/ltSIP7UkZq/ZwlY0fG6y0I4xUcNceRaEUcPyiw9sOV3jwzg7HLxqgK9yz3+KvfKDO10+GPPNGkfM3HbaMG0yNuNRKBSolcG0wlcaQkGo4f12QJIIoFoQxBBHZdwwSvCDFD1J6fkovSOl60A5gpStZ7kCQ+jx5d50PPtLizz2pieMyjU7C+x7uEgRF3rxc5vmTGsOu8/Z7Qh7YW+L0hSLPHA945K4eU6Mwu2Jx/eYKk7VPj1RKrf99YvN71PyS/8sbJ799IP+2Afz89TpKqR99+qtPfeAbLz2/W2pJkgi2jzuYGJy7arJrc5t3PyhxT5R444zkxTM+H35bnbv3lBHC4eTliE3FlJolWPNcfvsb0zx7os1jB5v88JNNDm7vMlotsNYs0PFsep6ZA9vIzlAQRJIoFsRxttRn2q0sqVQKHAsKbspIKWLTRI+YLpdvRfzOCw7XZotUbZf79iseOtTmyKUWX3utzAO7HbZs6PEb3xAYwqZcimh2A1INhoDxco92xyKNXT742DK//eUCO5cc3v9AjzBa44Uzo0SJw/37J3j/fW12b27x7PEep2cLnLpuMT0iGSkLCrbAMrOHUAoQQpNqSFNNFOcPa6QJouxB9kPwQuj4gkYgqHdAKJ+79zb54Xc1eWx/wmjZpdEp0Oo4+IGJY9icu+lw+ppHudrlw29LSMIqpy85vHgmZGyszYFtFklsYwjNjs09el04d/qpiSgSP33vAw9rref/gxAb//sA+OWTn+Do5a3MXHjmL3hB62fC5sWxOJUc2mZw7ZbBYjfiiXvg+eMFfvNrmh96T4t3PpBSciscvWjyma932TgaMlJQTI9Cu6fpBhrXFDR8g7VWjU89X+T1s10evrPJD7+zyd07W4wmLnFs0/Mdup6JFyjCyCCKJXEiSVJBqgUCjRQa20opODG2FWKZAbfWAr54VHJlzuL6XA0jtdm5weKO7Qb37Gtj2CucuVpiU7XAgR0wNd6g3i5zcJMkTjVPv2ET9CTVYsx77vf5wgsRNxdL7N1lstD0efOayebJGnduX+Hl0x1efVMQhBb7to+wb7PNvukOVxfqXLkFb1wocPlakYIS2EpStDWOCVJmSZXW2cMaJxDGECaCbiBo+4J2BGEak2qfe3e3+eF3tXnsYMKGERvfr7DWcuh0bbq+RddTNDsmKfD2ezwmRyT1ZpXj5xWvXQjYMNXmB98p6LRLPHcC9mxtY5s2l+dgz2aPL3z1hYkLM2s/WymOxMde/+Kv/c431viZv/fn/1Tx9qfa6Hnt+d9h29hTVMuTf+7o6cs/d+3q6ZHxSpui5XJhNuJ994eYUnBot0cYlllaMTh9A0qlJnu3pIxXXHRi0/MMkhSUEhgGKANMQ+MqTdECVykaXYdTN8p87XiRz71ikmiPKPWYWw7YMN5m61SXatljtNLLNNa1LlMjbTaMtZiebOJFLW4s97i61OMTT5n83ktl3rxcwu8U2Fhz2L/N4sAOwd17O6BW+aUvFqmvVrlnj8VDh9o8dybkxs0iB7ZZTG/wOHJJIBKXu3drtBFy5LxDybbZsTElFl2OXXAo2Sa7p032bO1w7ErK/LIkjgQ9z8UyXLZPmty3N+Udh3s8dKhByw8w3IiFdsKFOcFSW7PYhqU2LOY/L3Q0y60EWQg4tKfJZK3Ju+5Z41/85To/8PaYu3faKFFmrVlhrVmk2XFpdW3aXZN2T+EFEssUKGkzu1Dg9bNwabHHvh0NPvSIIo1qHL9gcPpqh6KjOHsdHjroceFGiau32nSbNwtB1HvnG5cLN/7jS9fP/Ouf+nE+/7k/vabQn1oE//RnPsnnT5ii6334Y7Nzi7/UWlsobJ2wee6UycRIQNVJWel2eGC/gaUc7tgeoLF483qJT35esX93lx959xq2Ocq1eYduLyGMUywlsFSKY2rcSFMINRUnoeYKeqGkExa5Plfkf/vNEUhjRBxzz6Ee26dC4hhSnaJ11sSRQiANgTItLt60OH/FoegoSpZkrCAYH5VMjCg2jhts3ZCwd2uTRKzxf322zMzNKg/sMdm3LcGLO7x2xqbqmoxWNNVSSMHNqFCaSlq+Qb2rWWsltLoujx5ocvR8jws3Daplh/v3V/nRD67xc5+D41eKdD1Ns6NYqpeZGiswUfPZOurzdz7Wo1xocfo6XJyVmKbGMDRCpIDO/qchjmHbVMLDB2OSyCSKbbQu4Icmi6sWXpCtaH5oDOibFwr8QOCH2bBz14MbCyEzjYA///4mh7fZnL06yrlrkgszEd3Q5MiliHv29mh5RexCxNsOKZ47adLzl6rbpt1f+mffuzX+H/7i+Ke2bfp1/b73/+lE8j8VgD/1hd+iUtlg3K0vf+Titblfa63ddExTUim3+e5HirxyqkC9mfCZr9s8c7TD9z1RZ/ukz713VKmWCoyUClycM3nmqMd9uyPGqgpLKfxQE4QpdpgQRBo3SgmilDDUlGMIopQghjAW+JEkSGyixOHClSKnLkCiNRm0M25sSrCMTPNRsuHABii7UClKaiWD0apiYgS2TAVsGG8S6Tr/12crXL1W4fAOgx3Tkp3TDZ57M2ZprcI92yW1copjedjSRhuCOJEIrYmTkEbXYWnN5PA+l7v2dHj5uMNkTVBwShzek/KTH1nj330u5c1bJZrdlGbHYKWhGKsWqZVdauUK5ULEeDFi6+EQ24wxVYxhJEiRJROa7KGKIoPlFUUUG0SxQRgZBFH+GkqCSBKEEj+UBKHIEtRQEIQaP0jp9GJ6UcqT98F0ZYSXThY4f0NzdT6gl/js2enxsccjRgoV5ldc2m3BF16N0DKgqm2uzl4vFAvBr3360710dGTTZz/3uV9LPvzhv/CdD/D/9f/+FG9cco1Rd+6jKl3+5LXr1xypS5kew5Yc2FHnifsMLlwvcnUu5dqC4v/63SJbNrb57odXObzPY7xaZfOkTcezWW0IXEsjAMsUBJZBGEmCMCWKNGGcZFWReOhMIE40SZKSpGR8O2UAbiHAkKAkmCbYSuDYgoItKRYMKgVJrSKYGInZOtWjVGzy2VdCXjgzQnO1zKEtBls3mOze7JOIJk+/UaBoKsZrBqWCz5mrZBP3mzW9wODO3RGHdmoWFxJWGhaeX+C993V46bTH5VsGRVdiW2UO7kj5539hjeff9PjC82OstTVbJxIaLUW1bFApmpQKJkVX49gptpViqwRlaKTM5LyQRfE0FaSpIE4lcSKIY0EUS8JYEEWSIMoqL2EkCCNNGEIQJYRRShBm50RZgl/g62/A9YWYm6sh+3e1+cDDPtsnCiyujHLqosXVW5oLsyHdqMu+7QZTowJHCFaW3nSk2PfrmyfkX7z//uKnr57+1WTnnX/pOxvgP/RkXTY6Kx//yotrPz+7eNNpdiQHdngsrJR46oUqL5wR3L2zwYP7QjZNVNg4a3H9lsG5mya//UyXBw50ePLukIfHK6w0HKJYkqZgmhLbEoSRyG5OZBDFEEYyqyDE62W/OElJkqy6kOi8UpJXS4QQSAmGFCglsJTAtiSOLSm6gnJBUy2lTI4EjNc6xLrJp16S/OqXR5lwHA5tEWzZYLJtY8rWDQ0++5qmXnfYN2VQK0OpELF0Q7LcsLG2QxAJxiuSahUuX9c02imLqw67tzm8454OX3zRYbQEtmVhyCoHdwr+6vuXMeUyv/9yjXO3HCbbERPVmErRoOQaFFyJaytsC2wTlNIZyEWmrByAnOzBTlJIEkGckAMdokQTxhBFSRYUorx8GqeEcUoUQ+rBYj1hpaVRrs8HHu/w0D6FqyY4dq7I9Vuaq7cSFts+9x9qcdeOlLFiiVOXBQt1n/07bBbn551Lrvyl509vUX5k/hZZnPkTO/5Ek8y1md/CUOZffOnI1f8z9i7Udk8LhHY4eyOiVNBsn3C5eN3hpTcFhVKPRw91mByRlFybasEgCCyOnLOZWQ24b1+X8ertSaWpsjqwqTSmCZYJlimxTYllSRxLYlsGrm3gOtlZdDJQlAoG5aJBuaiolBTVsqJWNhitGIzVJBMjmsmRmI3jIVunOmyeWuX49S7/7rMOzx0dZXPZYt8mwfSUzdYNcGhHm0jU+a1ni0RegV2bTLZtFGzf1Ga543P0QoUdk5KpUcn0RMCzpzKdyWhJUCqYTNagWu7w8jlJo2VRtDRCKMLYwjJsHj7gc2Bni5v1lJPXLPxAEkUpQZjg+Sm9QNP1dNbQ8QSdnqTjZZqajifzU9DxoNMT+b+Djqfp+nl93Evx/AQvSOgFKZ6v8YLs7AWatq9ZagJOyI9+sM0j+4rMLoxx/ILF6Sspp6+HzDZ6vOuhNn/unaDjcV4/U8C0GuzenHBppsb5OVhcW7WrRfFkau9cfPIDP3LiG1/89T8xDP6JRXDf6yEN+T987qnf+OkX3lgY3TxRJow8xsZC9ggHx0rZOJYiMDlzrcjXX1PcXGxz/746+zb12LqxzOabDrs2uZy5qal3Vti41UNKTRAahKEiiCVRJAnjbNmN4rymnZCX/sgjtyTVgwHlLHoL8sidPzBKY5kax0pxnZiSE1MrB2wYa7PU6vGJz5s8fXSEeqPIrnHBlgnBpgmL6QnB9o0+ymry2y8ors0W2TMpqZUklWKClAG3VjS2kkgBWgvCSLF1os0bJLR7Bo22Zqnusmfa4Xvf3uLTz1rcWLIxVYQQJqkuEsWSe7Y32PqDbZ4+3uM3nh7h2I0im2qCsWJC0UlwLIFtCixTYiqBMsgSZykGmgxNtoKlGlKtSRJNmvYpXLbiRQn5Krge2cNY4EWChi/YvUFTVi5PvzLKzcWES7citOGxZ2eXB+5IuGNTgUvXqpy+orh0M2DTpEW9o1hp9tg8pXGUSdW6Mjq9dfpn3/XEnzP+5g93frk2UvrOAbjWi4D/l29cevmnn33p4kQ3TNm92eTkpRonr4Vs2+Bz+A6fqWqIFCNIw6Q8J7h0RXH2asDGCY8nD69w326b/dsLvO2elOlJA9uMEAWNbSpCO6tjx7FBlEjiWBIlgjjOGkZJKta5dioYsBKdcW4pwDCyqoNppFhmim0luHZMyQ0Yq3bxIo9nz2h+57kKR85WqVkmBzdpNoxIJkctNo5LpidDdmxqcPqGx+dfGqdiKMYrgnJRUC5EtHoJX37NoWRphMiA5QWKDz4c8KXXM01Mq5uy3FBMT5T48CNdjlzocP6yRdGOMaTIQJ4W8MOM6//5d7TYs2GZ336+zavnqtxsuEyVBRVHU7BSHJVimaAMgSGzBzlrBEFffpTmVC27PpokzdSJGaWDOIEoEURJ3hVNBF6cnddmHX7+KfD8kIiQe/e3eMdhn+kRhzQe4eLNIldn4fJcyIX5lNUg5pEDIY/dZbK4XODElZS9W0L8+psTv/vll3/63e94KL082/iV3Ztrf7YBPrfYpNfpcvNW4UcaS8/+q68++41RV8WsJUUu3mqyecpkpFzm9BWLN84L3vtQhyfuTHCsEcoFi5GKwcyiweyCyS88FbF7S5fvenCRDzwYUS2mWXKUKMJYEUXmoCIQJwZxkjdsknWApzqP3Om6pkwInSeVmY5DqRTLTLCtCNcOKbkeCR5fPy75zW9UOXu9gohsttU0G6qasarB+IjF1Jhk43jElqk2sysd/v0XisSBy/S0oFpSlItQLkQIM6TtFamWNEIItIYolozYBnEa04ksOr2ERtvg1orL/h0lfuy7m/zsb9nMrBRRRpQ/GIo4dvBDydSozT272hza0eXNmVv8znMuXztWZb7lUrQNShYUTY2lNKYBSmbtfCFuV9elgE6zhy5JBYmGOBEkaQbuMMmaRF4i8BLwY4jTlLVuSs+LeM/DbT7woM+ejRa93iizi2Wuzytml2KuL8TMrMa87Z4G779fUG+McPqySS9qs2d7gpI1LlzpkagvTpysRP/qQ+9/NPY6t/6j4xYQxh8f0P9YAd7zPOxC8UOXzh/5ubkrz5ZX611GRyQ7N1m8erbKq+0uH368yWN3ujx9pMQv/r6BkGu8796QammUkXKB8ZrJ1LLB7JLBtZsWP3OtwOderfOTH15j/5aYiZpBSRpEkUUYm8SxGoA86QM8laRaonVGCfQgoQQpUgxDo4wUpWJsK8Y0QtpexEo74t9+1uH6co3j56vo1GLUFUyMacYqgtGywWjVZHJUMjUas2m8x2i1wdMnUo6dq3JoWlArSUoFSbmQUnRDhBlg2wplZO+vNSSJxAsUnh8Rp4KOl9Lpauptk8W1Mg/t7fLg/ia//YyDWzdQMsoAqRVxYhFGEi8wGas63Luzy727urzx+DwzK5Jf/1qV5WaBuTUby5AUTYHVp2EySzwHgbxPVcgieawFcQpRKghyQIephiSGOMIwQjaM+Bzc6vHXvsdn72aHXm+Ua7NVZhZMbi1r5ldCbiwnzDVj3vPgGj/2wZTLN6Z46bQkpM33Pe6zsjbCiycNymUfM27zpWeeH90yYf/c4fsON8Je7/N/nJj8YwN4a/U85dEp45O/+Ru7lucvlnXQZrKc8sxJmwcO9njvgzbPHa/wu894bBzrUnYdzNThFz4/xlJzjXcdXuDgrjKbJspMT9hsmbQYm4l5/Yrk+ZM2r5wrU7Q6/MX3tpkejdi20eOhAx2UyEbEhMjoSpJKtM600loPRW40QmoMkdXMNTHImDevS45eUHzxSIk3b5YI4wIlZTDuakaKmlpBZ3XwsmKkohitCqZGYjaOe2wYb/DC2YBf/OIEG6qK8TJ54iooFWJcO+CVSwZ+qDCLGai0FoSxxFEGd+/xeP1MNRM+eQnNtslq02ZptcaPvX+JudU1Xj85jikBEZECcawII5MglHQ9Ra3kUC0XeXBPj8cP9fjBJ1a4MJvypSMORy64XLpWJBaKIDDoRQaGkAgh6Bv6aPKHTmtSnRKnGp2mmCKhYoU4RDx4uMv2DT7TYzE//B4fW1koo8jM/CjHzo1w/oZkcS1ifi1hpZtQqnj80HtbfN9jAp2M0AkEj93TYENNcWVmnGdParZs6vDIHYJnT7ikcZPnX/x6ub52bdeT7/nLxpETl5IHDu/5swPwmWvnCJNJa+bykb80Xor+9bXWEhMjKZZpc88Om1MXFOOlHg8esCk5RZbqDmGSsmejZq1j8TtPb+Drx3o8cVeH99zX5dBuhx3TLqZtcPyGwjYVvaRCp1PgX/12DR1HTI777N/iM1qJ+eg7PLZMhESRyPm2hKHITc4/pUwRUvCZ511OXy0ilGJmvsCtpQKOa1CxBdWipuyklB0ouYJKwaBcMqiVFKNVGKvGTI76bJpok+gmn3mpjNctsntaUy4YlAqSkptScmJMM+Tp1x2CnsScAJmDKYolRdfgvfd7vHgipRtIul5Cu6dodhSLawXu2F7io4+1Of5mgZl6CUOmQJTzZZMoMQiirDHT9RWtrkXJLVB0A+6Y9nlgr8/scosbC02UmXDqmuLTzxUQhpGBW8jbb6JOgRS0JgoTtk7GfP87PMbKCXu3aiZHIYktgqBMGFv4gUWcRJy61uPIBUUviClXQ77vXS2euDNlQ7XA3HKFtZaNZQjieIJTFwVnr8UUyzH37jQ5dcml1YswTc3Syhqzi3v+9bPPH+vddWjXr548fTG8+869fzYAfvLNGQy1vKfXmvnEhQuvSGXCsUsObiHkoX0BO6YLdLoFpjfEmHstVhoWnR50vZTxbsJkNWG+XuKp5ws8fzKzPUjTmBvLJnW/QlFpikLjp4rQUkQprHTLPHc6RZPw1JEIIZLsJunsJkFeLBEZuoUwEEIiDYM4UshUYSpJyYbt45qimVKwUwo2FGxB0ZWUXINyQVEpSWplGK3EjNcCNo53SGjwb3/P4eUzE+wchVohj94FScmNKbghxYKH6xawDYkhcw5ORgeiyMT3BF6Q0AkMun5Kx0uzkbmixdxShUf3B/zkx5b4N59W3GzaCJGidUSaaKLYJIwkfmDS9QxKnqLoWBRch4JdwLEjSm7IPbtDLDPivt0xP/xkD2XEeRMoRQh9OynPKV2aSoSQ2KYBWPiBYq2uSBKDJMnooJSCUtHnzjt8KmMWUie8+56E0WKB1UaJYxcc6i1FswNdT9PxUtYaMfVOwpYNJl96VRPrNvfuj6jYJlfmFEeOviQrJeMTy7e6L0U97+wfBzb/XwP8qd//dUZHfffMm1c+cuXyZbFhLCTVNhtrisu3DH5rtsvhfS0e2JswNSaYnjTp+S6LdTu/ACaNtmJyNKHeSlhulnjq2RJtP0EjKFoCs5CuK+Q0xKkgTCWxliSpIkptkrzsNXwMupQClBBZp9IAx9U4SuMYCbYJtgLH0ri2wLUkBVdScFQG8KKgWkoZKceMVgMmRrpsnFjjF7+Y8htfm2Rz1WCslFIuZrX1YgEKbuZTuLCWcnXBxrEy+S30lX4CP1Rsn0qZGvNp+xaer/MoLml2FCXXoVSo8sNPLnNtYZFf+vwmlFRoUpI0IU41UawIQgMvNPACSc+RFHyFa5u4dkKrk+UYlplgqgTTTFAyG5SQMmvni/zMpCsCEDnIBa00V1mmeV7Tz2/ysqsyLN51ZwxAq1dgYbXA9VmTtWZW+my0E9q9hLW2ZrGh6UUJwojRVsDhfTEP7NW02zUuzxr4UUSaxsxce10I0fxIeWz71S89/Vved733B7+9AJ9dK1urrdbfL8pbf9/3Azm/WmGtFTJa8Ti8q8DxixU+/0LAsYs9psYi7tnTYueGNnu2KAQFlusuq02b5Yai0VZsbKdsacU0OpqOl2mZk7yM1c/2U73+e6rFIFEa5txA3snLEislU5QEZWSVBdMQmEpndWMlcOysMdRvCpVcSamgqRQTqqWYkXLAWK3Hlsk1jlwK+O3nN1JzbCZLKeWCyMDtSopOStGJKRUCjlyEUxcK7BrXOe9db5t7gcF9ezW7t3i8cbZKL9B4fkLXUznITQqOi+tU+YG31Tl1aZnXz0+BNkjTJHvYY00c6YGexAsUBV/jOgaOlWJbJraVYKsUpRJMlaKMFMNIsy1YZCYNRmgE63xuPTnPJMRpvyI1KL32y7CSIDRo9xT1lsFqU9BopzTbEautlOWWZqmlQYVMT/oc2uRzeHfK9Ihk87jLhes1Tl3S1God9o8p6k2XIAzlkdPL/8s7H3Wt3dPuvwTCbxvAddKTQdD9p09/5d/+7Qs3blkjNYuHDnRZWC5y5FyRsm2wZ7PEteDmssXR+ZgTFyOKhZBdmwPu2NzigX0ttm2y2b3FZble4NaKxcKKxa2VmNVmTM9Ps+ZNXq9NddaY6DcrtNYMdd5vW3H7rep+Q8eQAmWIDOAqGxSwTIFtZh1PxzZwbUHBFZRcTbmQUCnGVEsBoxWPjeMNXr/o8U8/OcnNuSo7xlKqBSi7BkXXoOhA0UlwnQjL9Gn5GkMamIZGDnluJ2kmuopii7Ib0YtTekG2P0/PT+j0JC3XoNCxcewS26Yi/vlfavFPfk3y2vlJNAapTkmSlDiJCeOUMDLwQwPPlriBkXdxdeZ2q1JMM6v3K0NnADcygBs5TRFC3z6gm7f2dR5EdB/YOeD7jbWuZ7Bcl8yvpCyuZdYWK+0EaUYUSwHve7zHvs0xezZBxbEwZZHlepET5x1uLgpMI6Riu7x6WjFXD3joDs1qe8F65YT4e/t/+CfMRrP3P9eqhT9yO/+PDPC5xRZzy+G/vHHx+b85Zt9wECW8MGap0aYTJ7zjXhcpCtRbkpJrMVlLWW1JlhqKtbbN0VNFXj8T85kXQnZOezy8v8muDXUev8fkymwN70SBTleALYhVRk/6E+5pLgPtn7wF4DntzhPLjKIYcr3Nr/JRNFNJbCszAHLszJLBtTVFJ6VUSCgXIiqlkJGyx8bxJq9f6PFPfnWMizdH2DqSVVhKrqRYkFn0djUFJ6HgRERJyH96poQ0DEypMcR6mTDVIq/bm/z5dzf46rGQTmjTywHe9Qw6XYOWrXAsG9sss3dzzL/4K2v8418VvHp2klRLkjQlTlKiOBOaBWFK4GRyV9sWOKbAtrLOpqX0oGOrjBRpZLVxKXQ2KNEH+HrLE8ivNVkvQWuRr5zro3F+KFnrwJHLEdcWAw7s6PHwnpBHD/js2CCoFixIy7Q6LnNLmXpypQFrrYRGK7OpODerGR1rMCk1rm1jezZfef6Ws2/Hc3/rez/8TqF18x8I8UfbNe6PDPBu4xI6TR88duI1d2m5yJYpj6JT5Lk3pjl/K+Lxe1p84MEGWzeUWFwrs7Rmsto0mRrNuFmzm1DvGKy1Lc5dKnD6YsJYLWDrtIZIY8YREoltCpTKu5F6vc1M/8K/5XP1AZ517tY7ef3orVQexZXMBFs5CBw78zwp2AlFNwN3uRhSLXuMV1scudDjn/7KCG/OjDFdE4wWh6iJoyg6UHCyNr9rh5hmwK21GqYhMGSal+XWk8wkkcSxwYaaJo4j2pGDF2TSVM9P6PgSt2fgWCaW6WCqCvumY/7FX17hH/4HeP3cBEkqM4AnmihO8kieEtgpTijxLWNAwUwTTJVRNGXIrBcgyWkKiPz1W2A8oyv0m0J5kMk7xALYuTFi23SHRPfYMx0zXjFI4hpe4DAzZ7PWNmm0JY02NNop9VbMUiNhvpViOj4ffKjH43c6XL5R4cg5TUzI2w5Kzp4/5u7ctfvB/zc7TvyRAP77X/girWZU+E+f+5rVWGsxUU2pFiW1ckTBNhmvFDh7QfHqmS4/8X2rHN7RZmq0yuJakdWmSb1l0uoq2r10YFvQ6Rn0QpNbN7Lxq9ESFF0wpBzUavsA1/qbgd0/5CB6ZypBKcUA3IbMvLbX6Qk4JthWiutoXDvjzwU3olwIqRY9xmotjl32+ce/XOPMzDgbqwbjxZSKKyg5koJjUHAFrpM9HFmrP+T184Kub+EY5A9ZxsH7QwhJKohiRdExeOhAhyNvlulF5OKmhJ5n0LENbMvAMq2cP1e5Y3PKz/zoMj/1C/Dq+QmiVBKlaT4svT6DGVgS20qz6J1rU8z84c5OcpqyTuNk3uX9ViDvN4X0gKNnp2FA2TYYrRSxLZs4kFy9qbKSZ1fS6Qla3ZR2N6bRTlhrpyw2Nat+wl27m/zk9yT0emO8etLl7NWEhUZMpWyyezpgqrbEtbOfsQ4e/lDhjde+1Lv/oe/6kwd43L2CUdhU/d1PP/XvC8p/29RmQb3t8NmXAsZHujx5uMXh/WVGKxZffK3Iv/x1xd27m3z/4yts39hhw1iResul3rZodgzaPZOuR6ZkC7IbpNE5KBlc8G8Cds69BzdDZNFEyBzcucjIGAAcDEPkCsS+8jDFsXKBlZ3g5vSi5AZUSh61UpuTVwL+8S/XOHVjgqmqYryQUnGh6AiKrkHBNSgMoneCY8eUCj4vnLJothxqtfU2eR8waZov8YnBxKjBk3d1eeFomk3RhOkQyCWOKXFMhakslHKRMuWOzZqf/tFlfuoXNK9enCBKFVGSEsY6F0dlkdyOMmWlaQosJVEqF2FJgaH614bB5+s/hH2qIvqqNNYbQsP3Ir/subWzC1oTROAF0PM1XS+m00tp91LWOnrgtrV5Y5cfe6LJ4e02vd4YL5yyubHYpRtHfOBtHmPlAjMLJc5cSdm/3X/brVtX/8PU7u//8aNnbjXvO/Rft4X5fzXAT15YwDJXf2pu4frHpV6i5JpUiwZSlLg6V+D/+O2IvZs7bKwljJcLJA2bF49P8Mwxj+95tMl77l3hji0mmze4tDsO7W5mStPsZLYOPR+CMFe3rU9efUuAZxdYDEDe71/IIY23YawrBpVBps9QGtPMBosdK8WxElwnpuBEFJ2AUsFnpNLi+KWAv/8LY5y8NslE1WSikFAp6BzcefR2JK6dRX/HjinYIXEa0AlthCEx+xF8wMFFXg3KBWKRSdHyM7lA6FDrg9xP6FlGviWKxFQKU/U3oNUc3Kb52R9f4u/+fMqrFyaJUkWQCMIkzaO4wIlSbFNjmdlYn8rzDmUIjHxFy65PPpXffx0SZg0HmEFEH7oXfcFWnGQ5gO+ndP2EZlfT7GnaPjS8FC1j9m7r8p77O3zPwwlJVGFprcJK06FYSnjX1oC9mwwWVia4MquYWUpRSnNppoFZuPLxiQ1Hr8o4+od/ohFc66vA9Nb/51d+6VCvdRMhBLOrPtOTHR44ZHPXbpu5JZu5ZYeVJkyOJJTclJFSymKzwOdfcHnupMcTh1s8sK/Nzg1txsZMahUL07BZa7ksrjnU2wY9TxLGmTg/Tb85cvRlgd+UVPaX23xCx8iTKaV0piHPRUh99aBjJjlvjnCdgFq5R6XY4fXzMf/gF8c4cW2S8Ypi3E2oOJpSDu6+vrwPbtdOcKyYcjHk/A3N88eLWFJiGmmexK3zyAzgECUGcap4+z0Ru3Z0uXrTZbwAfqizM0jo+XkUVgZKmRhS500jzYGt8DN/dZV/+AspL705jh+5BIkkjDWFOKMstkkGctVfvdKcokikkQxWOEOKIYCLIZAPLZPDERzQqc6t47LkuNlJWWzAWjdFmglhElMpR9y/y+fBO3zecadmpFhgYaXMcsNltWnS6QkmCwad5ihPXRbMrcR4UY/NG3psGlf4nsXM7CwTYy8f2nrnX9/6yon5mUcO/5dbUPwXA/z1U9d47Wxlm5u8/H9urKx8qLfawe8VOXPJ4bmTPQ7s9HnkYJfDBxT34bC8VmBh1WRxLVPVVQsJUxVYbhf46isFPv9CzMFdXUbLMZvGQh464DFRabN7S5mrszUEChVl5ahB5L6NeOeR+63gFhpp9MuCGRiUoQeDEZZKMc0U20yxrRjHinHskIITMFLp0ej0ePEs/MxvTnH6yhhjObirrqbkCoqOGNTKs8pLmkVvKwO4aweESYLvOThG9pBJIW5T8vUbKVmiqTIurwKCUONFYgjgKZaVYJkK05Qow8CQ5gDgCLhzu+BnfrzBv/qtmFcvjDLfKuMXJdVEU4o1jqmx89McUDSdlwsZAvh6BB983vxDf6sUTw/pycMoc+S9vJhQKPvs2Bby4AGf6bGU8ZLm0HZFEFapt1zOLGRJZ71tsNbULNcTFtYSlloJ0vDZvinkHQdjDm03qDcKnLiYMr/s88ab7Q9NTH8jefj+PX9L6/M3hLjjjxfgneYCltV84Oy1yx959chNhOly19aUsmNwdb7K1bmI+WWfbZs8psY67NnYZefmMgWnRMGxKBVSqt2YsWpK10vp+IrV5RrXr2tOmjHPn0jYvdHjwTtgopxVThBgpin6WwAb9OAmCIaTJZ3TE52rBrPIrVSKqVKsgTw2A7dt5eAe6bLS8Pjp/1Tg86+Ns9qtMV6RjDs5uJ2MdxfyxNK1JQVb5xE8496OHQIh3zhp0YgsRm1u02Mj1lehfqktjBRlW/GOwz1evxjSiWwqUZoN+4YpVpBp1S2VAVwZGkOaCJk1aNCwb7Pk3/z1Nl963eNf/sokc6s1vKqiaglKcUohBjvKrJctIzM0MvuJphSDJLj/OpyoDz+Yw3nEAORpNiRhmYK33R3z0EGfHRs0lYKNkhbNjs356xbtnqLbM+h4kmY3c7RdXotZaIZUKl0e25WwcVSwfcrCkiVOX3C4fgsW2yH7t2ti/wILs2MfWdxc/E+9nnfjjzWCR6GHMp3db7zx+t+4cvkq7Z7FlcWIkWKb997f5kCjxtVZh8tzFrMLBc5fCXmj4PHxd3pMTyoM6VAqSDo9i56vBzZim3PbNC808UOLbsvl7CWDO3crSk4Wbb9F7CCvuCFg0G7uVwGMPsANjZIZsJWRgdtUCZaZYJkxjhVhWxEl10OpHi+cSvgPXy7zxZcnCNMyE2XBmJPRkqwE2K+T5yNwefTuc/gsekcoFfDKuSq9ULGh0P88b43geaKZSqLYwDENHrzDI04zgHuRwO9XQ8LsWpmqX+I0ciBm3ceMOQjGqoKPP9GlZM/zK1/2ePHcKIuRS8+RlGNNUekM5CrPQwyd5yU6B3n/Gop17bgEyXoU/5Y7CuYRf6QsObStSNkqsLommF2QeEE2zOwHAi8Az9f0co7e7cUs1FNGR2N+4F3ZNo2NlsvVGYMrs3BlPmG56/G+h5s8tD/hwo0q589dZ8vmu/7Gffe//USn410uldz/9wD3OzO89NJzlMuVjfOz5x+35Dy7NhcIApuXTwou3wp434NL3HWHw77tJa7OuSytFWh2XXQSYKmUydGActHACwy8QOCHBkFoEISZv3WcZOU/Q2ZdRKu/jCo9sD8YbkL0hxbWqUm/K5cpBg1JbkyZDiK3aWRaDNuMsKwIxwwpFHwsq8dvfk3xv/3HCa6ujGDaDlMlwYidULY1RRuK+YS9a2fdTidvCGX6lSRfCTJ6stpO6IYWlmFgST1IMBmKfv1acjb4KwljE9f0map6NHslvEjkdmtZrmCaSV7mM/Jyp5EB/LbENVM+fuixLvftX+Fnft3nN54epx4X6dkmRVNSVpkGx1ZgGQyGIVS/6ZOvfHJAVdYbQLdz8mzVJI/wyshG3C7PKG4ty4FXYhxnQ8v9BzUI05x6afwoG2Q2UovL1wo0OgbL9ZQr8zHdNGDrVJePvVczPeJya8nk+oJBq7fK6TcvPO556cZOt3X57IUZDu77wzfE+s8CPElSnnjigW0Xz5//xfPnz7NYL9L0NJsnY7ZOlrh6q8CvfaHA9IYujx5a5cFDJp1uiShW2FZEwY0QQBRnPhxBOHTmvoBRko2WCZF12SwzizCGoW+rzQ7ATb8cqNd5d863DZkib4vcSQ7yGEtllMS2AmzT48ZSzC99qcjnXhrl2lKNcsFkxIGanVCydd5674Nb5uCWg6aQk3Nv28oenHIx4LOvKC7PuDiGyDqG/QoK6ygf2DjojIdHsWLfVvjAfR3+w1dG6RYU5UjjRxo7zPMGI0UpmVU/DIZAbg4tbtmqsGVM8g9+qMeh7XP8whdHuLZYoR679ExF0RAUcqBbUmcPTl5lGqx+/evaLx+S8fP1Grlevxci+++iWOP5KYaR/btsej/78zDKjUAjTRCDHwmiJPOZCxbg1qomSCKafsQ9+9o8dihl63iBRrPE0TfBMNts3wSNpsnNG5fYseOOX9x74MH39Xqd/yxV+UMB7nkxjmNw+tSp6RvXLu5M0xWqZZepkYyLbhqP2bbB4sqswdV5i5//bMCW6TYfuH+RvdOwY3OEZSb5FIuRSzxNkkQRJ4ogXDei6XsEplowVH7NI7e+jQf2gZ295qKhHNxZ1aQfvRNMFWeTOyrGtgMsFdBJQj7xKYtf+dIUt9aqpIbLSMVgxNJUrJRCHrkLg/a9zHUqOTXJa+cDcFtZ9zKIQi7P2XRDm5qdV3H6Tad+BOx3YfWQJiVSlIuK7dMhhu3TCUt4lsCNNEEf4CrJGzVGVseWfQnwt0peDcYrPX7sQz0+8vZFfuVLbX7pM6OsekU85eAog4ISuIbGjnUWzWXee5Dr8oZ+l/OtkZzh1/WnKwuIWpDko25hPrDsxYIo1cSpJohTkiQbqtA686HZtjli/3af99/vsWOixOzCOCcvmFyd0yw3IzZNOCw3BK4VsNZd4eq1izvHa870oTsP30iTCGmYfyCG/1CAz9xaolAojncjPvXC68fNTrdAy4tx7ITtm3ocqEVYdoHNUw67l0x+/xWLE+dGeO5oiR3TPvcdzChKmmjSJCVOQKcxjx7q8fidIVGqENqk5BjUipn4yA8s/FANDDHR61dSDBLL9ci+Hr1zlZyRZABXCcpIsMwIxwqxzJCWH/LKaclvfq3MZ14axU9KWJbFqCWoWilFS1OwNQVrHdyOLbFtiZ1Tk6wxlFcmcoBbZtb5vL6gefFYgTAysYv6mxLM/pEOOHgmRQ0jA9NUPHlfh9/+epeLc0U8J/N7CUyNFYMZpZhhimHIrG4tBVLIdXMf3lJjTyUFWzFZ9fi7P9Djji0Bv/G1EkfPV1jxiviGhWkqHCVwJdgyL6P2y6tSZ/0EwRDIv4Uoi3yGM4VeKOhG4CcJ1XKMa8WEOiGOU9522OPhgwGkmZVc9iBmTbeHDsTs2mTQaFU4c6XKl1+T3FrxiGWCF0bcUQ7YPGVTsCSTHcnS3Btm7R13fYq0fpff6678kSN4wa3KM+cvPvD6kWcr1YLPStPgvj2SyzcdXjlu8czRmFYv5KOP1zFNi7VehY1lwVTJoufZPPdyNqmdpJDo3IJAa752PKFWiojjBD9I2b894Lse6rFjyuO+3ZJOr4TnW3lEl4NJeIZALUQ6kHtmvFujjCQDuJEM6IhSEa1uxMtnBZ/8SpmvHa9Qb5WQrkPJNaiamrKVUjA1BUvjWuRRO4vcri1xLAPHEjgWuUIvzcGdYpsZ/zZUwKU5uNVyssZKzm9vb5ys62eyOcgM5HEqCUPFZFmwe7PHmZsxvcgkyD2+rTD3gTGSnKL0GzUg3zKZ0394+mXIKMn04d//pMd77m/w7IkOv/Z0maPny6x1CrSkRddSWIbAkgJbks1wSo0S/bwmdyEQ+rbGWv/9okTQDAXNIOT+vS12bgj44EM++7dqvEARRQbVoqBStPPVOxst7M/PBqHk8owBWlIte9gVn4PjPt/3eECzVSIKK1y9ZXHsWsKhHT43FyPOnflKpVZ61wPF0f1f4Q8xD/pDAd5pzdujpfTn02C2WHYlo67JSiNmxybJaKXEwkrEasvlq69WiBPNiKNxy1kConXWBOg3NfoeJUkKYT4ZH+usXHXpGhw/p5mebPMPfmSRR/f10Lnirq/xzpbHdYF+RkvSnHOnGDLBkAlWv5ohI1Y6MS8cU3z55RKff7HCcruIcBzMkklZQcXMJnlck5x2gGuJ/Fw3Dsq04gK7H737AFcxlhXjWCFaR3zjuM3MgsvYiMCUac5jxfqg79Bqrod11YmBF5hsnRQ8ebjH514L6UYmXiRwTI0VZ1E8iPTQKmUM6tUIeRtNyU45GFTIuqYK1w74/ic83nXfGk+91OFLLxd44XSJ5VYBT1h4lkKZBkoITCkwpcQUOqdaGgNxG10hR1aYCOoBvP3QGv/4z0VsGnXpeGW8XrYSp4lkcdVgdkEQ5w9ekjKkK8+uhRQa17H5/kcj4sRh7pbJSkMxvyJoeRHjVWi2i7R9zck354u79vHzpejWHYD3RwJ40jtH6vXw2gFXmxHbNyYkqcmGsQ7375fcWnaZXzFpdjR+kEVp9HoTIE3zZkCqSRMGgE/T9b/ra7uTVNKLqly4mnDvTg9lJPlYVYaIdVqS5uXAFJEDXKkES0U4ToQfJFy8BTfmDX7nmQpfOVpmuVEE00GVTQqGpGRqSirFNTWuCY6ZgdsxM0/CTGYqh06R/73OQZ4OQG6Z2Xja1fmUM9dtMM18mddDLfrb24KDFndeScmqKQZBZHJwe8D+6S4XbhXwHEEhFtiRJsjdvLKBhX5zxhgqQa5zlUGdPS9FpqmRuw+Y+KGJ6wb8hfcGfPChJl891uV3v17gxrzDhVsFwqZNbCt8pZCGzNr5gMpf+5HcECDpe70ISmbKwc0FllZLzNyyBwC+nY71g53IMSAGwW+9S22SpjZ+kO0aN7+acGstZvNEQIok0SE7t0Cn4/Lsy9ewrD+8VPgHAjz2Z0UQ+H/jC0/95hjaYq2hWG0FNHoxezZ3WZyCg9tbbN9U5NZyiVZXEUaCKMluWv/LfPOr/iY9txCZKq1a1BzaVcbzyXlzhMypyDolSTPrB5lg25mTapwkLK7BM88prs65PH/E5VbD5ep8EWwbo6BwlJHNdqo0qyKYGltlykXbJAdx/5T5aeQAJ+fcObjNBNvMonf2YIVcX4HzNwqY8vby4ICisK4HHwxr9Cspqcy8XWKT/Vs9dk/0OHstpheblCJBoMCKMyGTMQRwKQVCytsi+YCmDEla+8lsnM9TRolJYFqU3ZA//+6Axw61udVo8403LK7N2nz1eIH5NYfEM0mlIrIMhJTZSiFkzs0FhhAoAQVDU7UEJ96sEvUU5UJW7bmt7t//PFrn4M4DX9rX+ut8lc+qLm0vZXYtpVj0uPuOiO1TCTs3KuodF6lNFn2Dixcvj/3A93/8b5y9OPezB/dO6/8qgL/+2ovEcfLxUxfrRdONeHhzQhI7XJgxWF5xOXc14ezVNn/xA8sc2tWj0S7Q802CyCDOrdTi5PYRpzTtf8n19rvII4JpairFmFIhQYoUU0VYZoRhxFnUkglSZvzatBOiRHNtVnDmmsEzRwqcvW5x7rpLO7AJQhtMC6NsYhuCggEFleIO1YFt1ddp9GWzmS7czmmJZRmZv6G5Dm47B7dlZt1QS2UNI52GLNUlgbZRSmJJjRoqs71V19EHeaLX5x2TvB4uUIyPhEjDpxuZ9JTIKh3RumAsux7DncfhQrtcl7Wmcj2SDxkjmYkxsJ/oBRZTtZAtkxH37AjwQo+/eL3F2RsWz7zucOa6w7WbDlFsgG2gpSQVKifmBlIapEhclelRrswmlF2JaXK7ZZzWb3nw9CDgJSkDNy0/EnRCWOnBxGibj79Ts2m0yErDZHZecH7GINY+02M9ylZSPH3qjY8Lafzsf1UE/8rXvsTMSsd45fhFIYKI64uCK3MB9+33+MgTkmanwErDpNGz8aMupVILaRQY1RaOpQgjlTtQZdMlgy1C0r6tw5AZD1lUMlVKwQ4puAGlgke54GOZAcJIiOOEnp/RlBtzkt/6mk0vMjh5zuHKrM1q1yJILFAWGCZG2cCSAtfIootjkNmZGbnwyMiitmWKrOkxDO7cuDP7HWyLvGqStcxNlWKZcd4RjXCdkOVGwjOvlmh1bGoVgcpr8X3R17fqAGqdDxAMAoAkCAzGRg3e85DPV4963GwV8UyZ0RQFZqwxo37NOq+xyyQrFzLsdSKHIqcaeo8M6FZikCiD2DSIkswlTKkY24woWhGPHYx58I6ADz/uc2lWcuq8iRca/MYzBa4vmiAMer4i8Uy0YeIpi6VUEaWSVqApWnmndFgmnAe0JBVDYjPwo0xUF6QaLwLHiRGE9MKAHXaPSzMTHDnjstJMaPQi7t7b5JH9KRYms4sBNfuMmNh4p3Hk9S/FDzz4zXrxbwlwIWC0VvzEwc3NO49fgEM7LNotg6+/HnLiUpeH71zBcixCL+Ef/8okfmQQJymHdvh89PEOYSAIQ8lICe6/I8axBHFskGojn8zpN5nJdST9ykeEaUe0g4QXTwsaXY3rwBsXXL7wko0fGfiRYmHRJBWKSJukwgSlELZCSYllCBypcXJg24bGzp1oLZXXfNV65Lb6c5kDcBv5jKYYRG/LTLGsvkArGURvy8rcnp47YfC510oYlsrKbbfx7z84gvdr4RkPl0SJge+bfPBhj8+/0uY3vlGhGzsUcx5u9nl41G/K6MG0kBB9NPWjphzi+rcPCseJJFZZJDeVQawUKk4yoBsJhpEZ6decmIf3xjy0N0KLgI8+0cOPsqTy91+yeeOchesarHYsTp0rUG/YtE0TaWTKROM208/1KK61RsdZF/iu/T6jpYgwzPQ33/f2Hoe2pyRJ5vn+ey936BAzPhnyvQcTRsslLt0o0GxHVCsRL50K7/zY1vIntObH/osiuNbLwHj5xOu/s/f5eWlcX4x4/K4lRooO7tERTl9V/MaXUjphrtdOsgsZxvDySc2LJ1LCOCEONeVKxIMHfFw7Jon1bTc2I98ZxIVQIAyEyJRyjZ7k6GlFp5XVeQMtCFIDjQHCyAi7VCAVUkpMKTIwS40tUyyZAcEywDLWPfoykIv1gQeVDQL0B4+HwZ1F+FxWa/YjeDJ0xtgqQuuQW6sWYeBgVyRW3vY2co3GbV3M/kQP6+31dZBLktQgjExqJYPNYyGW8PFiGy8WuCozwexrSPoNLUMOy1vl4L2y95B58ycdMsFPc+/GdWoUx0neNzCyBpkRE8UJRpT1ErKEP2Z6LM1XjJQ7NvsEqY9U0GgZHDlt0+wYiKHpjmHm1Pdc6c93JnHWMHvoYMxISeAHFmFkkqZV4sQkjiWuEvyFdyakaUzXd2i2C5y8pHj2lM9ktckP7IsQSyXj0ky09we//0Pl2aVGe/Nk7Q8HeNBtIGX7Z43k8hN7N9WR2Fy8OooXKqSQ3LVL0ctFM8FgJ4WUMAI/JHNbiiVhIggSm+NnSlnimUKsh4ZYh1eM/JdYC6I8GY10QmL2TXwEKLGe5MgswTFlH9R521mSb9zarxsPvap8kt4g33qPAbizsS4j8xa3Mi2MPSQz7QPdUilW3h01zQjbjphdTfn1rxZBWZhSrCeYA3ryLbTVQ8MCfZPQDGyZsU4YmfzwezyeesHj3FKJbmJSiLNNaTMVoF6fxDH6CXhfWTmErH5ASeWQwKt/pgMtjFIGZpLkVDHJBV3rTbNMN57kPYdkUKYVaNJIUFKKJ+5WA1OgtG92Kli/04Py5fr3jROJ1zNotbKtVPrbqnhBtmtHGPUHmwU9P/M9h5R33W0ShCMcu5hy/qbP5PLlJ+6+++bPxnHy1/6zEfxrz7yMFMI6/abH0ppBoeSzeUPG+cYrMUmiiGJFo23Q6MjMocpP8fw021Q1zEen4nUb3qw8mCWZt1k85Njt87M4zvTQrUDQCBWdvMWrEXlEBFNkbWVLZFRASYZe+0O1Q0IixZAPSgZyS61P1a8DXA5oi23pwUibZaVDxjkxZh69LRUhZcjMomCl7SCUwpbcRk8G7fmh+93//gM7hmHg5ZWOMDYZLQdsnfK4sBjgJQo/ATsRmInGjHMeHjOoLK230Ifm/PqqEU3utKtvrz8ngiRJUUlKYkgM1d++3MjFagnSSPOVIus3rFe1+vbLkjCy6Pk2Xc/OutCx/JZzs/2Va/Cdk9zyOpFEkcj3CRJ4gcDzM1x1vZR6J6XZ1cRJQpSmjFcjpAFbpmLu3m1hqTWOvPx1S+tvLqR8E8CfP3IDhGCl3saWLp2e4NyVmGq5w9REyI4NCVMjik0Fg33bHJbqBZbWTFo9g54HwQDgKXGcl35Sje6XB4cjN0Mrt87Gnto9jWqmpFoigTDN/r7fVVNSDzQe/Z8Hf5YPGKxLQRkM2FpGpjE3bwO3zF6tPtD7yWcO7v70j0oHFMVUGT+1rIiYiC+94rK04mJWDKxhDcdwBWVopV5frm/nx8NNHz/IHGzf/0iXV077tGOHnlK4cUqYt9MNuS6I6gvOhEhZnxzqJ5pivUynIU1zTxUNiZG9p0oFsSFQiUQZMqcpKXEO9PVmWppP32cghwzgfmjR7LgsrhZodRVRMhzFhp63oaHlNO1rcXIv8oicBWTzqO1uzFIjZamVUioGYKRsGAvZskGzeVRSc11Wm2WS2KdaWcE1jOFxr28N8DPHn6VQcB99+uvP3XflJty1q8U9uxOabYtnjxb41NcKjI4E2GbMprGIRw41uXe3R8Gpstq06XpysO1cZmnc714OT8Ovy1+Hl2+ZL2dhlOBfjbnRyP6Na2RlRNUvvfU7a/lNVoNXMbBCGAb2wAfFIJtH/FYA7yecfd6t+rRE53z7di25ZUZYZshiK+X4FReUhcrpiRoSKPU7mOItCM9usr5tprFfD+/XxKPI5PCugNGqR6tRoBcbFAww4+y7GInOzmgY4GQgH7xRP5IOuVWleuBSlRopSSowU0FiSBIjJTEEcQ7yYfFaX6UpjRRD5L4qIuuQO1bEWivlzFVJEIDO76u87d6KwQrWN99P0vVdJeKBI0C2ncpaO6Xux9y5r8fbDvlsGBM4hsFkxeKF02U+85Kk0/W5d3ePDeMGq033vt13PPHo57/wxMsf+uC7vjXAF1YjZJ3vqhTSuw9uDSg5ksuzUG9mgDq8TREmFl0/5daC5qm1GFf5HNweogyNHyiCIe4UJXLQnl/36V5PQPqRTslsVtCxU0oFj2WvyzNnS4yVLRyZYsr1qNXfDW0wtSPWpZ7ZcHF/UiWjJcZgemUd2P3h2yx655xbMeDb/ZJgFrHXwW0O1IkRgogvvmTzytkS0lZYUmT+2wMFIbfd5NsVHLcnmutRPEs0k9TA800eOuDxgcc6/NIXS4SJTTeROEkmOVVyXa04oClS5lF8+K3+oEgOqZIDQ6U+uBNDYhhpFtGlzK0l0nxCKsVI8p/TBG0ITBUzVmtzfTXlhVMOZVvg2vnuEsb6+Jsc7uTq9YZPMthVom97kUXxtg937NR87yMWtlEiDgxWPJP5RUmaxuzbmtJsC7q+y9HzUKoZd99XCL4rNNOXv2UEX1y8SalUes9Xnv7aD12+Ps9a12BsNKDqWOjExVIKc1rky1LWcdLCxjUVpuoyXovyZoWR75WTva63bMXQzmaZnqE/L6lUNh85VgkoFup84YiAtIQhsqTR7lOOocgt8+5n5lpFHsEZjGHdFsXzaRjTuB3cmZ3CWyJ3PrNp5eNtpuoPHMRDZ0RIxO9+o0yibYxB93I4wVyfa+xXNm7j4GQeiwMznVSS5uXCLNlUCEy+/x09/tOXAppphJc4eInAjBlEcSk1MhYD0VlWLnyr9kgOVbDEEMgFicqBZuQgVxojzehKYugM0IbMNw6Q63LkVKB1lnwqIyVKe5yZjSiYFhNlnfUd1O0je7cJzgYyDvI9gbIdJYJYEKUSJTVRz+LlYwqNJE5ywyeyzX97gaTeNigXYzaNS+J0kShq/NDd97zj+YWFua9u2DB9O8ALto9pGLumJxo7z9JmxwaLbseh3gn4wMNrKIr0ApMkF0AJMrlotexRKXawVESq1zXfUdxv+MjclL4fwbKbkiWDyWAQwXV8ZpZCfusFxWdfm6RSUpRyIZSVj1apoYtlDMC+7u1hGGKdi+eKu9vMbnJgK0OsV1IG5cCsm5oNJus8cq8nmGooettmyPErksvzDtowMaTEkilKDA0L9KNWv0L4lipK/+wn3/0g0G/69PXzOzdG7N/R5bVLLpFh4cUCR4KZaFQscl1IPoUT5zwciSDl9rcUQ1FcDFGjdT6cnZneJQN3Ps5maAwpkUn2EKmcxmQ2y7DWLPHBB9qs1Of47CsjnF8oYuYKRcdYr2wZUvdngQYVpDDN9OJ+DFGSkqQROtUoJWn4BufnE1wzyQR8ZLtPdEKNZfT4rgc1Sewyt5wg9BqnLzV3bt3l7+r1gq9+UwQ/er6DUgmztyJGKykr7ZhaOeXqjZSf+mWLsh1hSo8PPebx6J0RL540+fxLNmFqZIIXYROEmh0bAn7wHS2KtmK8Kii5WVTSQ+COYphfBc9PKbgxr1+SfObFIjcWy1ybK6MMi6mivm2fmT6IB2aaQqxPzwsGky79SN7f97JvkTAM8GHzn2zangGwB93KQeROsFTW2MkexghNxKe/UWBtzUXYKqu7i6HE760alOGs+i1+IsNR9bbadGoQRYqxEcnHnuxw/EqZIHHoGRZuknHxfuJtSHJw99eKNK+J94W5OVV5Cx9Ph6pb60Ko7HMYaX9F0oOfMyokiXN32iTvUCepoFyQ/OSHu7z/wUVmlgSffrHIqSsOBTfb4WJ+1SKK5e32GWlK0Y0YqYVMOCE/+GSHnRti/DDreVhmplX5wksOL540efSukO9+NEQIg5ITc+lWhbNXTcZLKXOLklrJY6y4giPWxYUDgL9+5HMkqcGG8gLbN/aYWyvx+y8XiKNsYLSd7xb8iXnNL35O4wWCnrd++6IUOpHgpbMJv/WNAK0DPvxYhwNbA5IkGdxdpQRLLcWXXiowu2Jj2gY6NQkii6IpmCxqinaKo7Inv2/c01flrU+brHsO9qP3ehTv0xWJoW4HuKVyAyCzv3Vg3uFUGnPQik/zn5PbTmVkkzvnZuBTXysRSAtDGnn38nZPlrd2MN/arb9tMv02Hp5z8cQgThR2ovjYu30++ZUep6+5RIZJT0qsJM2rRwKZ6IHRqBQ6Hy8bLsim+Xvdvm/RcCRPUlCDEqJGpf1ae4pMdM6n+5RIImWWFGb72ys838J1CkyP+OycCnl0f4SmS8GJmFsVfP4lm9VWFlwG0z8J7N8W8aFHQ5LEQgqXKCrhByZxIgdXavv3CP7K+wSWaWGbgjhWxIng4LRg91TCaxcMbtYFzx+5QKs5RxDp2wHebS5QqEwVvv6l/2f7mfN1Tp8bZ3ocPvRQ5lNdbwv8IBsSjeJ1qetgqUmyL9v2NPWuZM0v0g6LfOobI+hk/c36yY8yBI4SVJysle4oshlBlSn8MpNIsa6S43bA9Jf/gd3BkP3BsGuTUtnPqs+9jbeAu9++N/uDyWk+7NwHd3+mM87PCMMMuXxL0QktMFROT/Rb5LG3Kwi/qYoyxIf1W2vh+TTOeuNHUTQFezf5nL4ckqQ2XmrhJJlmW+Uc3BBZ7yGrTPWFEOkgyVyP5GK9w5nrYZQWeRs9+zMj1+5nHdNsd4okXXcwGLZ3y0CvUIbGUjam6WZKSzPrG4Rhwoib8KPfFWOqZCB37h9xUsAPK3iBTbvrUG87tLvZHkR9Ge16xzfbmTmMwfPJ6+MpphXyvsMBa21o9aa3/72//eOFD3/P/9TbsW1jBvBbC0sUmu13e8nUTx29cJ5GN2FyJMB1bB48mLLWcmjmcth4IIfVAw6XJBCEmno75sZChNVJqEW5gjBPrmR/CR80ZvSgy9ivTw+48tCEwLC8tg/0PsD7EVwOIvj6tEs/ahuDCgpD76Xzyf10fafk4Qiu3hK9jXyu0wqpd1L+798rseY5CNvM6Ilc7yz2rReGQf4HHesOUSLfeWU4gmcVlThWlAuKn/jeDs8eL7MWWIRS4UmJlc9Qrls+5CAcTL1nZcO+jFaT5uBO0ci3VFZEHsHXfSH7YM+usc5nS/VQLVsM7o3Iy7cqv6aW0rlOf30APOuM6rxhtE7Z+kb6q02Ha7ds6q1sFjVJ+gMzerDKxLk1XbuXstzR7Nyc4lgxu7cGrNYVm3aM/9SZNy+9HAbeU4MIfvbNM5imxa1bN6gVQ/ZvkyhZYqUp2DjusWmiw527yE3b1fp+lPlWFmgIY81LZyVnZwSumemt+4Y8os8T5VASODCjF4Mqh1JZ5JVC5BNBmYlkFOn8ae5fZHIxT37xjXX7MWMI1EpKVE5J1ADgfc6dDpJKU6UDcJuqr7+4PXqbRoRlhfzON0zevOqCNJFSYg/q8+u7SQz2iM9D+B+oJhyK5uu2xOsgj9Ns5CyOTQ7u7PGhx9p88isOqbLxpIUtxVD5VBAJPegnvDWSi+FI3teEDO3ioDWkBhg6WxVSLTJwG2+thOTRNBGEcTY32rf9kIJcz0JmkWfo/Hr3iwr9uvr67hJSkieQgoITsdQIeeWMSRiLgaNtXzsep/2dmDVj1ZRaSTNVkXQDk1fPFqk5Idg3UEoRRsE6RZkcy4Zne52sBdXqajp+yuxKwqvnQzaOh3zwbUFmVBPl0+/5UIPW2Zf3Y8HL54ustgtsGcmETEoNc2QGAMyiK1nS16905A2YjOtlvNAPod2L6eokGxfSYp1ryrx9P6AkfYDLdYAPGj19gGd72vepSLbf/TA9Sd/CubPobarMtarRSvn950qstmxw8uqJGErG/gCK0vdQfCsB/5Zlu37JsL8nTmIQxYpa2eC7n+jx+Vd81ro2oaHwEpmXJ0VevRHrw9hy2Bc2A7bW61M/6SCa9zcUEKh+ZcXIf879TVI5HMXJd4oTdDxBu6sJwiSnMBmlGeh+lFw33c+vv9EXiw0qadlpmSkbJzweuavBzYaDFymk1ANZ8aApFGu0TvnuxwI2j2kCz+b6UgXPF5BoOoGgEUiiMPuu6tyFS1SrtW3HT7zxk6fO11HSodnK2q1JELK0anNrSXP9VpK5l8br3ac0TUl1X3RvkISKDRWdmVPaIge5HFAP47aGixhE1fWET+fmkFkkqrcyrUuSZGFOyCHX2LdE7P6ES2buzu3gHr7IKs2BrYcoynAE79tNrFtOKCPrXF6/Ibg045BiI6QaDOeuqweHKyhiqKrBINsc1qKsR3IxRE/EoJIxGDdLFGjFvq0hOzf4rF1w0YmVRfEkWxXVUBVnffp9WOiVI6Uvo4Xsdy2Gkk9I5To3T42c/0pNamRcfdCcM7J/tFyPabQSRN54Gu4UD79mOdBwZSvPtVQmaCvYKSv1AtPjMT/xPQGGESBlmu0q0Z9EivsB1mSiahMnBnO+Q1HZuIWYdk9g6Vn2Tu/5yUN3PnHyA/MXbihLpSgZThmC91yeqXPnnpC90z4vnC4ybZTYMmHhh5qulysH845THGdT8kmuFTEVVEayvSUzH5H1VriZS1QHXHhQkssAZ5s611tnK4lrxYxWPd6c0Tx3qkwSKopuvxQnhhLJ7Gc5sAIeroMPnznXN4bBPQTyfL96M5eG9qO3kf+uVIRhRHzptRKXV12w1umJOVTVEW+J3m+1i/hWNCX9poSz39G8nYuHoWLHWMj7H+rxxrkCpCZxknFxM8m7u8ntVEmIfumwbzTTLxvKfDMBsZ5s9n+W+c8yWzSVBi0FhgYMjZn//1fLKeVilxfejDl7zWWiDEUrKxJk0oe+Q9mQ+f5Qs63/IFgqGwn0bIkfCtq9USrFGEtlbCKzt5MDcIexJIwFN+Yyazgpe0TpMi+eNtk9nVItdgkD+Z56I5ryPG6otp+SyIQwTRivapLI5MpNzVrDYKwi2DppIEVm/xBGeiCKCaLMVTTMqyqC7OnNJKd9TbUYlOLWnV11boCZ6TxsM82tzxJcO6RayuzUvvCa4FefHiHqCiZL2XIqhRhaDeRtQF8vE7Le9ezv1d5XGL4V2GrdIGhg8abSQQPKNDLu7RZCXrto8NRzRTzfgoJCSYEpbqcmb00w/1BPv6FIng7TFP2Whk8O8ihWVEqKD7/d5yuv9Dhy0UIXTbzExhIMHjRj8P7rHjLr4F4H+bC7SZZ85g+YkW8RKDM+rjVoY2i8UGfc3lQpG0cifvJjq3zyqxZffnUUyzCpuZKSleVgzkBmLAZBznoL4K1cE2RbgpalsFsGprIQIndgiPQAb1GU5XpRlO1NJKVgy5RgfMRh18Zs4GWp6SOMmGIhBh2jRoshpmWxYyriux/tYCpJq2exa4vGMju5g5MgSRR+qAjCTFDlBQadnqLnC/xwnYtnXUKdq/L6Krz8i5rr7q5WHqkdO8K1AxwrwAsDvngETs84fPXYKL1mtgWfqd7SflcypyK3O6QaxrqisG8P3LdOHrzmmzAp43agm4NonZ2GkSWYlhUShQlfebXAuZsFME2ENHJQ5dPlQ8mlkG/h4EMlUjGE7EHUps8zh7fs62/bJwc18SRRhKHiji0x732ky6kbLkFskUgTLzWwEt7yWfq1cN4SwbNX/dbPYvQftmyoeT03WH/4IOP4qcq0RnFss3tDgb/zsTb37b7JqRmXr79e5VbHxVWSipWbKFka20gHPYcM6Ll02ZT5HkIZ0FUesBKtCcNszrPnabwwHdi/+SEkOsW24cK8xDJdggR6fkwUSHYclExuSmm0NOqzT30BZRg0213W1krYpqbeMVhuC9Z8CIIeH317i6kRSaUAB3en+GGu/+25LNddmh2TOMm+fN9bcB3c+ZiXyizO+pHasSIMIyAl5MJMyq06/NxTNS7OlhGJy0QJdoxqqgVwcznr4CIoeVtDZ1Ci+xbgVkMg7+8wppQeRGo1eF3/2cyTS2VE2FbI2RnBV18p0PMsKJpI0VcODr33t+piDrQo/WOYh/fbmuuba71VPrvua2IMpn1KpZD3Phzw+Rd8Tl2zQVn4qcTKubiRgpEM29uBSMhNk0Tu7dEHO2AM1eUNBtQlldnZl9OmaVbVEGTXvBdImh0LKaqMVhV/7h0dPi46XHlPg597qsStNZfzN0qs+haGkBRNmZkr5TYd/Z5Hlnflkd3MApYUWWWm1cvksq0g2wzAj1J2bImp1lI2j/p89PGYTq9Eu2ez0jJptiWmMPCWj/HCs1dIkxg1UZrPki80q3WF5aQcnJC0uibNtuDSnOLnPl2i0YvYsdHn7ff42S4CYcq7765TK/fLetkY1cCD20oG9gpFN8KxM/s0ZUR0/Ij5RsJzJ01OX3f4+rEKja6LbVqMOTDiplQcKLtQKkiKjsRxsq2lTTOrvAyXr4adUZXRr9j0o3XfH/wt4M5Ps+9Cmwv8lRFnp4owzYhYJ3zxZZcXz7rgKJDZQLPZb5O/VRo7fA7/8gfVwQcy4r6cdX0YOdF9X5N1oAe+yeMHe7z/0R5vzjjEsYkWBp5QmAmDzySS9Sgubnu0vjmSr7+/RhtisBqnudNsmgqMRAx2OM72zzSAXE8SG3Q9m3KxyM4pj0/8pEfb7/D1E3VOXbN47kSJpYbLUsvGFAZFI9s7tez0XQ5yBafqi+Wyz9TyNLWRHh88HJJECWmS8OThkG0bJI12mbNXJrg0Y9LoaJpeymg1wHJTTl3p4sUxhkhRfixRWhAmCVqnHLsYUyz6bJ4wSA0LyzHZXIXtoyZRYvPi6zXoi52ChAcPWIxV+2DOqIdjRbj5XumOHbDWjonTkJsLcPyi4pULBZ4/XcLruoSRTa0E20egZKW56WXmx12wRW42b2DbMt9IaV0uK25r2+t1Dj5kfq/6tdg+LcnBbA6Bul85ySom2athZLYVJ29IPvWNEmCBNBHCwBw0d/RAXHWbNHZQ++6LZMVbAMa6JmWYh6dDHFyLrBRr5NYPg33iFVorvv8dHs+86nP0auYkEKUGvUTkgq/8oUv6VmtD5qW3ZQDrkfy2mrwBMm/4CKFJcmuKbLvCnJ7kZkVRLAkiSc836HgWTcelYIcU3ZCPPOrxwQcD/qfvWeKlMwavXbA5etFhcbWAh8XisoVjSsoOFC1wVZpHd3CUYMOIwYOHSty1Mxkk8b4vOXtFYBopfhhgmE1qtYSD+wJKtsOlGyWUleVeUoB641IZ05DU2z7zS038SHJprsTpiymmKRktKbZOCYrO+oZFygDXltTKAtfKts0rF4N86z0/L/GEvDmjubUGX3zFpdF1ubHicuZyEds2KZiSsaKmYueegKbOfLetvumlsW5ZbK1n5X2tx8CMk2Gg628G+BDnvi1qD732B2v7VMUwYkwzJkpinj/icuaKm9mgyiy5tMT6VJEYjuBv2cTp9uD9Fi340A+DAYghjcht6sJEkhp5RSVRBKHJgZ0+jz+QRXEvyaJ4ICz8FFTSr4fnOhXEYMuTdYqyDvIscq8DXLLeixg4i8GgTJtp/iVhKPItxAU9W9L1Mh9E17Fw7YS1dmGwa90HHgj4/sd9Tl31ubXWoN4z+OLLBeZWbU5cL6KEhS0MKgVBzdFUnZSCo7ly02KlLnFsMVidlQFFN2XDmGbfthDLBCFc6q0UZ3eHnZ4iiDONvLpjOkIZgmY7YdTJXIlqxcxCIYxzaexQlaLPZ107oVqKGK34jFV7jI908EOf2ZWEE1cVRy45HDlfZGbZpdexMDApOLB7ElxTUzAT7HyfSscC28xKi3a+X7xjZV+q7+iaceb8wvcjTbqe3Q8ktH1gS42hhqP4EBUZrp4YCYYaAnhOUSwVcXlB8GtfKRFEJhTMnJ4wGE0zhncJHq6c9KP3H0ZR9O1AH6YpmbXGcEXlrVxcUbQlP/LeHl98scjFW9nDl6QGvcTIVIZJ3vxBZPw7EesBgdtBPlyTHzx3AtJ8i5T13aV1bngv8ZXAs7JSneNLuraB62T3zrVUvvuFlVlM225eKYvYNBayb3OAkCHvPtxhbqXF6xfqHLtocfJKgRsrRZabDuMVSTfStHoh1WLmOJbV0NcbhlK4pBSIIoFtJdTKMUUnJkhcotRCkKJ+8ieenHz19Wv/6Fc+dYY0Vcg0odMJiaKIJ+/qsXlcIbDQOtP+SiPFMrLRLWkEuLZHoxfwq08rri+6vHSqyHzTZbFuU7INCqZgYkxTMDOFYMa3xMBVyrZE7iCV2RQ71vAOCuQe3Flp0TCyKBfFgjA3z+8P3ctB02Ud1EafkvTN8G8DerIOeJmuc+88uQx1zGe/UeTkZTcb9xEKQ2SdS5VrsIeHi28bz3qLkvAPPG7j4MPblGdVFJ2mGbBvA7kkTRWhb3J4t8f3vqPLv/tNCy9VkCoiIfHSLEeQac7Bk2ETfr3+5rf1OjUKQSJyXp7TrFTnPY98kByylbLvTtC3ubNtA8eXA6NSx862ZsmqcObAjbfZjgc0tlSI2DEVcnBrwHc/GLLa9nj+dJOZBYsvHS1zre6y0DFRGBTMzLjJkP3PrElkzPbJLk/cFeGFNlpn/ZKyCqD2+D8yigf+qjp+bKXaqPvv21DzCKMSK03FSsug3RGsraX00oT3PbDC5nFNkgpEbjZjmgm/94LDpbkCvbDG+ZnMM07EBiUH9k9qXJVmQO4X/1UWqYfNdgZ1c7MfsTWule1c5jr5/jd2ku3zaKSkWtDpmTTamaRS546nRt8n3BgGeB/c61HcNN5KSfpKwWQAblNFXJqX/Pazhdx/JYveg8n9IW36sL2w5HZq8k1qQiGGaAm3J3iDsb7bt8rOEs++7keSJgaJkXPxRPEDT/b43PMFzs+ZIEO0kPiJicpLeoO6fF/VOVQ+vC0neAuJEv9/6v47zLLzKvOGf8/O6eTKVZ1bHdTKycpWcI4CjAkGMzCG4WXgJcwMOb3MADYwMJhgwNge22BbWHKQLMlCtnKOLXW31DnHyifvvL8/nn1CteRAMPCd6zpSh+qqU6fuvfZ61rqDkl8QuRi80UlpdeVr693FLb3nl57kQM6LlNmLSJd3Yml9p0nrO03vL/WWm0m+C5GDiFUjId//+ghEwLuvWaQTZew7ofGlhx0MXUHJeUpJmrFqLOSNl0AcekxUDJabOgt1hdm6YKkTst4M3lwyTpS0+WUZvFp2Mo7N+2xbFzFadFhqWISRytd2RfzPT9vYRjL0hsmBb72tksQKlgqjhjRycYxUysz63iODEZDZk4nl4z4JbvrWxL1QJwnuGMeMsa0Ix4xwbWlR3AkFaVZgdqlCGCt5bOAgwkTLyTw9O7geyWfAaJO/VtUUtTfvVmNUJc59EGMSNeaux1127x/03opQ5Oy7r6B5Dd3l0AZz8HtxFnhWOgucLUBeMRMfcqTSUiG5KcpghR9GGls2BLz96jYHbzUJExWERiI0ukKgJflcvH/Q7bUor13J+7k7Cqj52UYX0qi+HsIZP6UdKKiJQtnKcPMZt21muf20LFoS4LJwGXnxkndspa+eMvUUI78zG0aC2ZRF0zZl+t26sQhdj9m2KuXG8xMUEechvylCSIxs31vk6d1FwlBhqRUzWmsxMyo4NGuRRCmmEqK9fFzn5KzJE8+5TJdUkiihdu4shZLB6SWFMwsmVdOmaOn9k2mG3DKNmZIfLIW/6ZD3yGBb1VvH6vpAyW70WpQ8KcEaBrYZD1KH7QDX8rHMDruOJNz2sMlDL5VYVzO5YA1USgLboM9dUYcr9RCDrVe5e6v3fsSJkqIpA9N8VU3Q9YhDp1U+8qUCvqL3HbQGqvmeiqhn27AyEOsbKhzO7k56FOD+mrzX7w6v7Id7cLGCn5KkGnGiYyYx/88tbb74sMPBUxqoUd6q6HSFQO21J8M02v4LHIC8N69XREaWCsgZn6ahMjOucMvNS6yeOsNDO+D2hwrsPlxE0XTKpkLJzHB7d96+A+9Kr8eB/8xge6nr5JYc2mDTndOWZb5RL4RMXuRyfCnbztgJmRlrkGjL1FugmCkbpnRqns6m6UWmZurYroG2eTLGJWGfl7HYDWnFCo0XXfYc0fADi8mSQjWfoui6/KnFCXJNH8m8FcleG5CqVhJulHxj1RP45lewITko/Rg+M8nBHVFwAjy7C6LL0fmIzz9sctsjYzSbHpMFBSJBq5Ph2NLHRCByrWBvFp+tOFD2wa2dPe/O2xRF/l7XQpphyt/eWeDknAmqlo8Glb7B0PDcu//roVZkJZNwZXzgN2jDh6p3T3gwrNHsHfKU/rMvhlBUklhjaiTgA+9s8cFPGTQi6XqUZQpBqsqxYSIG0xAhD519xcJwJdcESgpq3jYpCpimgmsraMLFEDV+4Po6b79sni8+tsw/PFzi8JkiCx2TiiUoWdJ40zbS3Nsxzc2UpDWengO8Z9Uhi5+a05bp7yv0/OcIudYgUggiiTvJe8rw7JRqyeGHbuwQJV1ePqIwUmxhahnzSwbBKQfTdtEu2Nhk1UgDM6tz8ESBo6cdwq7GxWvAs6HoKjg22Kb8xEJAEArm6xpLjZQoluJWVRG5PEwMaLC5YLjHP9H7dmi5kaWZ5IdImcpQcKSzbJp12X8q5ouPWnz5yQlOzxWpuiobqhmjxYxqQV5EvYKp5DxjTR3ikqzov5O8LUn68YLSZzvO/0z23poZ8YW7TT56e4Eg1WV7ItR+e9IXFQ9xT84eCfbaErHihPnaEM+GsDUYFQ6Dvreyz5mb6RCVNp+qxKmGpcX8xPe02XfU4BN3yV4cVBKh4Kf5NCVhqIL3tqj5RaX2+vMsV0plcgafv5AoFiw0DHStiB/o1Mo2P/H2Ju+6ap47n1rmy4+WeOW4BHrRUihZ2Qo+igR5mhc5WcE1fSXjsM8yVRVUrSdQll97sZGyWI8JI3lh6qqcrrm2RdG1KNgZnpOwsBRzZDbh5UMdZtZDpQraU69U6HRCOr5g0+qECzfGWJp0PtLUVO78jRgrTzPQtYS9xyzmlss4lgaoeRZ8z6KBVzH2enpHYyhC29QHwC55AbblEyeSQXjfswZfeLTGgVMlyo7G2qrcbpZcKHsCz5F5lYYudZvDguGel4k2tKHs2ZAN/j/8jPO5d8TSMnzxAYfloAduCXBdkb23Jla2J/0Z+JBNhDKEZ/Ea+B7utfutSv4XK1h9PbVMOkylHeKJKwpqqpKm0qq6aCTcclOHLz/usNhSQYkgVYnQCXKj+l6bMjz/Hmwms96fIoRU0ksznpRuoNBoKWiqITeXkUa7a1IudPipdzR5+xXzfPHROl97rsgLhwsstC0KhkrZySu63ttWZjnvJM2dxoao0+oA5KraE7/I16oqAUudFnuOK6iqiq4pWLrA1qWzlqbISZOpg2PL+MeL1sLEOGizy4L5BZ39u4uMjSRs3bjM6lKIQko3hK8+aRAmIj8cQsGKOXwiIgki1k1puHZvTt2zW8j663AJ8GTIa6THR4nzg2OAZXY5cjpm8XTKnY/b3PVMiSOnCriawbpaRtlKKVgZBVsqtwuOSsHV8sz4DNNMc3P6fJOaK+FVLe3nZvYT2HqGkr22JO/BNTVGd2LufsjimZ0O6VDvLUUNvfZkJd+k7yY1VL1XjAiHlz2vWcTzdfnQqHBgMbxSDJENHzozBTUbzMXjREdLY644N+Rtl3X4u3sM2YsLVU5VUlUupYYqeEau2skykj4PvDcT7xks5dx4X/J/FCGNNeX2UqUbaDTbJqOlLj9zS5t3X73Avc/W+coTHvNNh/2nPBxdwzMlw9DtAX1YVaUOqNSDKt7Dm4prq5yzWrBxTcimUwmmBboBlp6QJQn3PmnR9FUyAZWiwoVrLMqOztqJhGIpQrtkQ5fGaJcJo0OCwsMvGpyctylZCWki2H1UlzYCqoKhqrimYKIsWD2uUXCgXEhxzHxWrQ8oqAN1TJqb5UhwF90A0whI0pBTizH3P6zz5UcKzDYc9pwo4Bo6UyUomymemeYZ8QquLXBtlYKjUXBUPCfDsVJcK8UxYxxLXjiGLslSipLlPnoDL72eW+oA6LJ6m3rEwWMKn7rb5UxLl6MfRQehSPOhFbK015icnLWiF9+gen+j/nvYSuJsMfLwYTNbobqX+TlJIlMW4lhnzEt4/9vaPL7T5OCsAkLaTadCIUhzBVQqv2Bv7q7k4U+RkM61cS4o7/XmipKiKDGK0BAopJm05ItiucX0A51uYOA5FmOlLv/lHR3eeGmdhdYytz9sc/8LBY4suCy2DHRNo2AjY8U1JMOwb47aazGlONzUBZaVkmYpZxYMVk+OcfNFIY4VYuoRupaQZinTFZUoAc+JOb4Az7+i0W5rLGIzMmKhHZ0zCH3B6eWQvUc9Or5JQdGxFKm4uX5br0plaKo8GXuuoOxBuRBTdHvgSnJr4V4oVNw3qzSNCMcKSEXI3qPw8hGFh1+02XXE4ZWTHt2OhaerrC5nFHJg23lWpWvJ0FnH0nBtFc9RKDgZnpNScGI8O8ax5R3BNOQ3rqqpnPVmw5vOXgqy9LiWkSiyNQmShL/+hwKPvuDIHkuRix1FUaRqRwwctPpigh57kNfuw882+zl7ofnqDeaAZdjrxVfSZ4dptJIfP2hZVGJFQ400rrs45Me/t8lv/7VBEKt9kEdCI0xzekEmyJKMuE+LkbVdV8BMpCtwmsqkvL4aP4M0k3eMKFH7y7ZeenU30Gh3DRzLZrLis37CZ+tMwPtu6rLrqMLD2212HHHYf9hlDgPdVLHys5qlSR6KoYrcz10yDp2ujJkMgoylporn2FiGg6YO1P2mnk/LspQRJ+a6C2K27wsYLcfMjKZok6NdFhdD2r5CraRzxdaUsaqPqUnRqx+odHypwxRCTkFcK8FzYgqOJNUUvRDbCPsSL12L6YYprU4CSszLRwVfeMSim7hs3+NwYtZhyTdR0fFMwVg1wzNSHD0d5FTmnBTHUrEteatyLYHrZBTsNP/6Ma4tX0OPgqtpEYqS9RN/k1TtH6tEP1NTglxTEgwz4r7ndL78qEsQGmDr+WJnqHoPu7l+I0rs8EJnCNA92dhrle/hSXSWL1VWgrtHYR2q3tkguEpJe62K7MejWMdxEm65rsvXHu3y9ec00CTxP0tVIiHQM4GWr3/TTLr3+qm8qBQBlioo6BlRmpJkWd62pNJLME/Fi2OZwxRFgjCSldzp+6PotLsmtung2gGbZwK2rgp42+Udjs21eHGfRpAI/uEhj30nLTJNZ6GjEwcqiqrKQANVkq8qDhTaKcVWhFePsU05yRPIMXXbF/gRxGmGqSdMVDLWzQhcM6PZjTi5GKHNLjg06y6jRZ1KaYnjcxGpKhCqSqujsnEqZttGjUbLBcDQE2wjxLYCbKuLYfg8tF1luSUtAxRFDvCf2WNy39MFgljHjw3mliQbT1NUXFUw5ckDiKWnWNpQjJ8BlqnInMqc3+D0W5QUz+5V7gjPCfGcAM/xcawOhu6jaBEISCOdbuDiBwpZqtCLAx8ExyZoekS9nXH34zZ7T5uyNRGygov+YmfYji17Fbj7LcuKCcq30Z8MT1IyAdnKBIwVrcpZix9ZudP++l4RKkmSIoRGGGhsGg952zVtntlj0gg1EDEInSRTV9hvpJmgHWcQdVCTLhngqyYdzaQVatSSjDhJpeA3gzRNSBKI45Q40WQVj1X8XAQjo841LDPB0g1aXRNTl8xS24pYPx5xzpQM533bFXXCeJE4zbj3aZPn9hgYhiAT0qxpuWnw2AseiqZhGxquDl4ungFY7KRsWd1m3dqU5a6CqaRUvIwXDhVxdYstmzRqZTFwtvIDnWbLpmDBXU8k7DkGninYtjbgV354no2r2tTbKcvthLl2zG13WxxfMDFNlyd22XRb2oqTVZTJ5YSuyNvQiJMb/OhS3dF3c83zcvrPHo/BzN8wS+BaGa6V4tryzuE5EQU7pOB1KXsdkrTN8/tjPn2fSyssoyqCSzd2ed+N8geRpgJVTXLI5SwzQ6d9mAAAdDxJREFULSEj5lN323z0SwUyoffn3ggFTfAa7clgaXI20PuVOz9RDnnQv3bzPfT/V8/Ch9uUs6RsZ4E8SRQZ6Z2qKGlKlOioaspPvLvDgVMGH71DJ0o0KdhElVRnIQ2XRAKuEfCjbz/DZRukyLcbp3zyvhLPHahwvOEQOgpxmspRZQJxmsh0iDQjjlWiWCWM8nYlFPihghWocuoWaFi6TluPB8l0eoShJ1h6TMGOUZWE//TmlPe/Me1TCBQlpd7u8tTLbUwr5di8yu0PebS6JqdbJkstnZlqyPe+HrauBcfy2XtU5R+fqlKxVHQlkKNrBJqhRigiJopjwjThTD1Bw+K6LSarxhQmR0zCyOeZfcv8w0M2X3u2gqEbRJGOIQS2BiM6KFXJxJSJDvKnqvYNflI5auuNENU8K6c3F823XKau9PkMMkYbHKt3mEzwnCh/hpTcDp7TotHt8H9ut/js/RN0ggK2oeLqcPxEyGQx5JJzFBAxtgmZFstZryLf6ENzgjsecWl3zJwtaJxVvbNB6OlrPF/LwWqA9W++5MmGcL6Cn/Ja1VsRuTlQ/lQGUSDZ0PJHJKqs4lGK5ya8+/oO9z7ucOCMDloCmWQXGookv7ma4KbNCbdc6TFV8zD0CNdu85bLlvjsA03+5LYx5lsl/EQjTtP8meXRJ8PxNWrejyuYYYadE+gG2UbawBJPNQfOBfkIV1FSqRRNFeI4vyspGRdvSDD1iEs3RLzjsg6GucTXnlf47INFFuYqPPxCkf1HFVZPJFRKDUZHO8wuOWhCttfdSEGrlEzCwACh0OyoZInDjRcJRioJZa/DfNPnuf0hf3nHJIvLDpMFKOgy093UM3RNcoSzTApDu6EUiaaZWOHnLYUKA7fXngh1sL4fThWWI0DbzHDtFMeSh0nXli1JudDBs5vc92zCn99R5qVDNTRhs6YCVSel4sGqMZvA9zizGFAu+Bh6All+2FQTwjjha89YPPCSK/m6itnfWupDvffALWoQC6gM99nDk5MhltW3ZBIOtSivIl4NK3yy3gFPvOrZU+CnqUIqVBKRIRJ5APO7GTdcEHDT5W2O32sQpKa03kBK2ywNKm6KKTxe2lumPhFSKfoUXZtKsc0P3tTggg2n+Ks7utz11ChRahClypABD8RxQpSkOdAVwkgG5waGyJ0S8hwkTRmYLPXs8Yb4QT0KdBjJeMIglMohVaEvebQMSd+46fwuF67t8pd3LNOOTZ7aY7H7mM54qcBoNaFoZ4R+SpoaRImFtmnDmnoQB/cWSsq71o22KHox2w9qPLnXQBUxj76oo6vjjJkqm9b3UoFzjkG+etVUeWBpthPmlkM6vvyp9IXC+RKoZ0TfW+drQ5usfntigGVKToNjJThWgmtHuE5IwQmoFNs4VoO7n4Lf/PgoB85UGStpjLspZSel4gqqRZVqSSPLhMzptGWigaTVyoPlo9s1PvTJCklmgWbm1VtFU6Q9cW8sOBA15GSlsxY8Z5vcf1s02dc6cJ611Uz7wak9MGdntTB5q6LkY0MyeVMWsuUGsJSUX35/i70nDB55wSLTElIkQU1XZcozZMwtK+iamQc/aYSxRqWg8botDaZqiyhZzJefGCOMbKJEECVpblovrUPiiLySZ5iRghnlnJNwaK49vIofFoHnYhSAtq9xZkGl0SZnLQ5iZXop05ZZpORF/MRbO+hGmwdelIkTx05l3Pe8dLNdPyVQTeveUnm6rv397X83q6rid6NEfddzuy0QgoMnNc4sGzimxqXr5MreNHqOrfJFSxYgWCbYRkrJizh4KmL/4yqOMcif7A3tX8vuQetbCYizvokMx0xwrBjHlkxCz/apFtvEaYu7nhH8zicnODJfYaamMGInlJ1MqkE8lZKn4dkKhi4zZXomkaoiZ/InF1I++pUiR0674NqgmCiqpMOagr5iRxHDRKrXOmiKodGgOOv3/yR8D1bzDIS/A0PMQcVeYbfGoIoLkUGSnzKUgR3bqvEuP/GOFoeO2RxrWkSpJsMIkAPAKM5odxKWGiqK0HIincgXOiqTNZVff38LkaXcu73GyUaBMFWIc5BH+aEzSkS/kkeR5J30TX/6Ra7njDBsWZ32dygFN+SRFzMOndQoO1Lh1WtbZRJHLjhXVGzTwrXLbBiRYbyjXkbZ00izmEixePngjt995eBLs5omVEwVFnyDhabJtjUZm1cnuYI6Rc9TfpNU0O5K21pNzeNGrJhyMaRcaHN8IeB4w2SpVaY0itxwmmq/0g8A3lNkSPlRL6DVzAlYklWYDDEKQ1zbp1Zqcnyuw4c+5/LEKzVOLpSYrkAtB3fBERQdhYKr4rmS+G4ZA26KdKuK0C2fT91m8aVHKmSui6KZ6LlDrH42gYr+mfk1++3XXvYMgPvtgHxF5X6tKUrKCnPO7LU+Lu9fMyFJWYnI1/iZAk3Bu67t8srROn/wSZdIN/F76WZxRhCmtP0EsyPX4IghbWZ+IU1WVH7zR9u8afdxPvTZMY6crhIWVKpp2o8f6ek1wzgjzB3Khn/uff/IfmaSLHyWIXDilIILUyMBE2NNXjxmsvuAR81RqLoJriUHEZoKcSpo+fIiNHWBoWkIoZECFQ+2ro5pxIL5to6uJGhChKiq9BY8vqhgGiluPeaGS+pYRoZQYu56wmBmRHDhOpeOb2KbMSXPx3PaLLQCPvV1nad2u9SXXcYK4FoqBUfFsbX8KhR9K4f+siSXl+nqIIfS1FOsXuU2Ixw7wLW7VIstjs75/OJHy9z37BiWaTFdgqqdUrRl5ZZrfOnE6jkC10pzfnmSbzgjTMPn4e2CT95XIaCArpu4msBWZTpDlvMy0iHCdr8iZ2eBe7g9OTuu+5/aopxVzvssQmWQ797bPA6nRA9/LQlylSyvzkqcoSUqaargqvBDb/B5cscSD7xs0Y4t/FjkHiMZXT+lpSVSBqaoAzFbj5ueKoyUFb7v9Q1qhdP88l8n7DtdJfQMojSTfXgP6DFEhjT7CaK073PSM0VScrmZrsrBgmXKuBshBIt1i5sv6XLR5jpP7W7yhYeLHDvpUDIVqm6Go2e0g5QLNjWYGQu48wmbWBg4uuCmCwUFW2FytEuwqJC0VHSRoq2bDLEM+Q2dmDWoN23WTvgcOhXz+Yc8HE0nDjX8VSrrxlJWTzQZrdQ5sRjwuUcMvvxomVPzLiVdZbIsGK8oVArShcl1JAvRMqRcrGfB25sfqLlIWII7t20zJQHLtQM8p0Ox0OToXMR//5saX3thjIJrMuqkVOyMgi05Kp6t4NkarqPhOQqeneHYCbYtjYUsI8K1fKI04Pc+XeHQbAXTtijp4OUuqII8Oz1B2jVk+cavPzg+u3KL13SzOntj+a0eg9yaIROgvuZUWqn1fFJ6LUz/wuvzYbJ8+SGIYhnIChmaqhMbGlmmMFXL+OUfrvPkbxToBAYtQ8EJ5VDA8HtOuooEuFAQQlvhm5hlgjBWuOHCJh/8iXl+6a9i9p+uEbo2YaJQSlPiBOzc3q+XKC193gd3QhB9cp6hC2xThr/KyZuJUCpM13R+6MYmN104z5ce1/nasx6vnPIYLaisG1HZMFlmy9qQLWtiDLPBFx7WmV8aYbqasdjssueoyum6KjOC3vued5FSmY5i7cd1pcPaqYTTywHb99hoWYGZqs156w3O35CxZrKBoi9y66MK//vzozz6QpUssJkpCVbVBJM1lVpZp1rWqBahUkypFGLKXkTRiyg4ufxsyL5NtiRSvdPbSnquT7nQRtea/O1dCr/xyVGe3T9G0TQYy8FdtDOKtrxqPVu2JZKIlVF05TKo4EYU3YCS18EwGvzNnQa3PTKGUD1GLEHFSimaUpli6bI6tkJBO1GIMtE/ZPas4Hr5m71gWbXvwTIw41eUHvBFnkgxePYMQldYEq9IRR6a0PQ3pL3pzSBxYSDk6LnfSo5Nmim0uxbtrkkQ6USJSpaqkEnbh4lqSBgHPLnHIk5NLHUouFYZPlf0okaGR0I9k06FDdMJN17SwDa7PLvHoBUZpP00t4EgvOfpHSZSNdb2oeWndIKMbiCdq3p5qjIvUyUINbqBQZxY1Ao6l29Ouf6CFqbZZs9JQSc0CDoq9YZFltrYusPa8ZRuHLLnmEK9peAVJlg1PvK3IyXnhLblwu/GtAocO/wCS4v/wKEzRRaWimydgTWTKZVih4LXxbGbfPUFuPvpGkdPFKjagnXljLIHRVej6KqUPJVyQVDyUkpuTMGNKbghjhmi6zEg6Po6zY5JEKm5n2GKqcdYpowHsS0JSCFafOQOnT++dZylsMyIqzJipZTsDM8aVG7XVnEdyVNxbUmEd22p8XOt/HBabvPIzoxP3FmjGxcY8wRVK8WzpGWFZUjw1btQT0KiekaQGSS6tGjLsoF5zor4FMGK2+9wm9LvjXsHxv59a1CCVy6J5N/20uiSVPZFIpUihN5iJ8v/Xgwdmh3bJ8tiGl2PxXqFRttCVTMsIyay1P5eolJK+LF3NHlh9yL3b7dY0nWsnNUnFU7kXigCIRR66RC9lzdIolA4Z1rhV9/XwtRP8OdfnmCuXSTJ5FIoSSHRyQOt5HsXxPL9bUfytZiqwDWgaKcU7JRukOIHKR1fo9XVWW5pLCybVIoulYLPT7+7xdtft8xdT3d56AWXEw2L6jFB2dVZO1FmzVSEpQXsOpLyA2+4hMsuOI9mq4UWJBY6Bgsthz3HqhQ9hdUTHQrFBNtts/1Qwv0vFjG1KqfndHShcu6EPNQVHDWvmiolV1AqZJTciLIXUi0FFNwumtah6UfsOiYtKFRsap701laVDFOXKh7LDHEtn4LbAaXN395l8r//YYJWVGTMU6lZKUUro2Bl+dpewbFkn+/YCq4Nnp3h2Ukf4J4dUHDbHDrp85E7yhxplqk6ClVTfi7PzvAsBdeRd4HXjWVcuOUMX3qsw633V+gkZQJVwckGgBzOBdKGcoGGR4U9T+tMGUxDGHQ6Q14qZxnm9w+MYvg6QBGQKIIk9wyUFV4C3DRCUNp85n6H2x6scPkak+kRnYKTUXBV6anSo8CqGSNuwk+8q8mR+SWOL4xg52M8uZSTFAb5+qQOVRHKsFa6X9WzTFAuCH7hPS2i+DR/fWfCYrtEnGr5hSgZiyZyUZaRMT3dlTTeLGXPcYvFpoHZ1qhYUPMSOn5C209odzUabTWPz9EouiZF16FaCvjhG7vceEGIrnd59EXYddRl2c/Q52MUDM6dTJkoZ9i2SpapaH4ERiKvrv2nMk4vhSzWI2plh8mSR9XNWFuSueYj0ym6iuSH2CqercjphZtRdCPKhYhayadaapOkbV4+FvPQiwZ7T3k8taOArSuctxp+4CaTkXKGYUXSQsCUPXKp0ALR5q+/4vDBz0zSCYuMeFAzU6nasDI8S8rnJLhVXFvBswWeneI5CW6Pp2IHVIodulGH3/97l688NkrJM+SF0uvfHYWCo1D0dGpllXVTMWvHHX7z/XWa3UVue8Qh1K0+WavnA95PU+71mLnYYeV0Q3qRKGLw++G+e4WXS07kkhVfXhwiFSTKgA2pKlJ4nOS8FPlnCZYR8KUnNH77/05TMRzG9RSRpdTKGnHaCynIP17N0LSYt10Z0Y7m+KW/MplrljBVMcgYUtKhC1AbVPIV+tFBNa8WFX7p+5uIbJa/+UrGcqcsDSjEIHLQNDPGS4Lvf1PCuetCbLPDY7vq7DutcP92jz2HC5xpGYx5MFpIKHVSCi2FuqviOSqereHZGqcWTHS1QJqlpEnGlumU122OmKi1Gas2Wair7D2k4bmxTGgzUzSEgqoZZ1RF3LdpdemNM+UGI2WHDdMxQRLLjaQqaLU0lpomqpC2aq5Dn7JadkPKxYDRcosobbPzWMIdT5g88lKF+QWXkq2yZTxjvChYNaHT6qiUCwGqmuZknICi2wbR5qN3O3zos1N0owKjHrJPtsCzMskmzMEtWxI1r+ZZTsSS4HbtgKLXxTJbfOVRwYMv1TBNm6qdUbSkQFZeGHLyUvJUKgXpweIHChM1ncs2Bdz+YEyaDaqoFDZLGrExpDvtgTNOsn6eTJ98lYKaigHIhw+nag90UvmeZDJkKUpyr8c8ykUgHV+1ZNCm9HJxVD3m2b02QdfC9TKCKKPeinOBgjIgg/VTKKSi6vXn1XnbpQt87iGT+Y6VR6Gk+ZQrzc8EQz2UUFacnnsHT4BKEf7H97dJs3n+5i5o+mU0kedk6rIouqbG7kPj+EHMWKXLhes6XH9+k7dftsxDO5vc8USBPUc8ZpsmYwVZ0UvtBM9W5R3aUnEsBaEo1FsJrW6EqkracBDX2Dg9QsXz8TwDRVHus2zjTBwrqB/9yId5442X121d1MfL/g84+ikMO6NabrLzcMTzB+DEQkYaq9SKGmNVGKukjFUiJms+q8dbTI4sUyos8tTegL9/0ORvvlLl2VdquIrFuhHBmhGYqCqM13TGqhq1UkrRiyk6IZ6THyj1Fn9xh8MffHaKTlhgxINq3pZI0UMOblvBtTUcR8WzhbwVO0ne78cUnYCS18VzWnztuYj/9ekRji9WGS+I/lixpw7yHI2Cq1PyBOVCQrkgD6UFp8vTr6Q8uN1Dt8ycmtCjJwis/tY1587oKqoiZ8BBKEdmvbZgeDQ2iGwZmv3nfA1dlzyRKFZo+4IgzCcn/ZamtzBJ89CABMsIcewuD+8weHZPlZIpbRwMTa7jFTUHef8ALO8WGYJaMeH8jS2OL2TsPu6SofaXW8PJxP2U5hVOoiufSSLZnldt65IkPs+8ouGnFpqqYKnSP8XUQSgKcaIRRjrNjkG7a+PZJpdvSrhmW4uxaocgidh1TGWxrdHoKERxRhgmBGFCEMn3c2o0Ycu6Nues7qBpXQ7PSvrzoZMplZGNFL3yL+zZc/Dp8y64UbIJFxpS3bK8lLHUhG6kEnSLFAyYKmm0Ohq2qTBeSxivhVQKPmPVLqbW5thCyN89oHF62eHp3R71uk3RULlwKqXkpBRsuXwpehqVgkKtnFHypJ+hYwcU3Q6q0uLPvmTxx7dO0okKjLhQNaVU7WxwO5YmW5Mey9BOJMvQlmafni0vmHq3wyfuKbH3WJWxqporhLLc0FPBtlTZ5lgiVwXJmbmmJyg9RVCu6NF6z95iKleJS9ajimnIW7yuh8zXU/xAyviynPuiqVmfUzLcmugamPliyzJS/DDj+JzGYl3ri0vsVE41VEWKdiUZKc/yyZTcYy0lS1OCVMWPoBumdIMEw1fQNS2nRGRoqoamGqhaypLqsWEq5kffusxzr9icbFYllUIRQ1EoKULEeUulkvsXDObkZ83+q4WMX3hvEyFm+bMvqyx1S1iaguWnmJ0UfTmSnKVQpdUxabY1lpsGs0s2Y5Uu3311mxsu6PDM3janlzW+9GiJl8842KrGRCmj5sZEUUbJVYm9IqcbCc12xoZJBc9OUAkpOyGm5pMZEZCHUF16wVY81+GhJwLue3I/XkHFNmHEjVk9llF0VFZPBIxVm1SKLTLR5uGdgt0ndB7dXmbvcRdD0anYgnNGM8pOSsGRdgMFR5MAd6HspZSLEZViQNGTQDTNJh/+gsGHvzBBMyoy6sq2pGDRB7eTc8J74HbytsSzUzxr0Jp4dkDB6+DHbf7sdovHX6lRLhqDiYklcCyRMxWla61jZblNXE/TmefR6yBEnsPTj0IZbOBMQ8mFGFJhNFmLSKjz3CGD+WWb8WLaF+8aadbPFe314D2radOQU5+xSpdTy12e3ueShQ6TVXmnyjK17w1pRAqRoeQpd9JtNk1VkjgjTWK6sSaTz0I5hjOMXiRiL8JcRdc0dM1AU1Pml2Ku2rLMz3zPLL/7OYN5v4DeG3PmUj8J7iSv1Wpe0WXOT3+2nRdzRWRUCvDz72mgaqf537dpzLU9dEWgKimChDjNCEMtd6NVaXRUim2NetOgXHCoFH3efHEbXe9ww3lzPPCizp4TJo+95HKyaXG6CWeWYdWYStETlIptRssxlp5xzpTPmo1jlMcuJo7aA4BvWDOOUxz/2h333PuhzTPmL51ajpmd08h8g4miYO3UMp24wWO7Q+55yiLMahw6ZRIFOraisqYMFSeTUjJLwXVkf+zZKgUHCm5GwU0ouVJBXyrI7aRp1PnwFzQ+fPsEjajEqAMVM5N2ulZebU0JbtuW4ode5fZyfribc1VcJ8BzOzh2i498UeXjd44R6S5TtnSwdU1wjEF+kOSak7MW8/m8IfWZURxzZM5BqFqewzM0/9Z7GzjpfltwMqqFhMmRAFXvYLgJC8dtXEP08ziT3PO7B/HeTFvXpFjatSOKXpt9s20Ozjo4WYqtp3mfLaP5DFUQ6oIoklU8jhVpXxzpzIxEKHpIJ7bwI5lO54cZZpBIPlCQmy+pWV7ReyQnG12P+dF31JltnOEvbtOZV2xUkeYij540LBkaaaq92c4QHTjLXbPk91cppPzsd7WAk/yfL05ysulJLWceCxkEEW0/odXVaHYUGracxi23dBbqBkXXpuQFTJV9fuRmn27kc+gmnzTLuPspm+NnHA7POWw1DcZLFpVizHwj5tSyR2Gp/qErr9/0tYOHz8hlIsDvffCPSDU9anfDjVXXf4euBGxdpfG6bSFBWueuZxNuf9Bh/5Ey7aZDo25iC50xTzBVhvGSoFZSqBZ1aiWdalGjVpLtyEg5YaQUMlIOGSl3qJXaVItNhFLnr+/S+dPbJ2iEJUZchVo+BuxNS2TF7U1L1Fx8nM+6nVz84EZ4bkjR6VIpNtl3IuD3PjfCqUaVUU+hmn/OgiXy/l2OFt3eaNFJKdgJBSfEy5dCs8s+v/bREXxcqiZ4fc9yBSe/OBxLxXMERTelXJDUhU1rllnqRDz5SgEtU3AMSSfWeyY3OSVYktQkocy1EirFAE1vcdsD8MBzZenuq2WDcFwtjyTX6JOUZPaRTBPetKbNFx4xWWo7OJrA7GWC5u5UcqypDGb2/cWUbDocM2Wi3OGJl+HEgk2maOhDSqWeyGN4Gznck/eMPXt/lmby8H/F5jZZ2uX5fRpLvkEQqTnNNueS5+ZRQX5RyngcmW3fCXRavkkYW6jCpGTbmKrH5hmTN17apVrtcmg24sW9Bs2OSphCkrmUnfjvX3zh/idef+O7BhUc4O1vfQeGYfHKjkdxTz/G5Fide58z2H/UxdYNrtmkMjmS0ezEvLRf+hYXXdGfZsili4LnkGsmEzw3ouiGlNwA1/HR1C5R0uXLj2d85v4ST++pkgmXUVcuXgpWhmdmuKbA7oG79zQVHCvL++5B9e713aVCi/0nuvz0/6mx+2iNiqtSNlLcvO8eWDEruTUzfS9Ey5R8FUuPsEyfl48qNEILS1MwtTSPu+sBbGBBJtmP8g5g6AmmlmJqKUGaESRSoZ7kG73sNebgA7OiBE2JpVI9lksRP8oI+gBIMSOVKBKDxLFYydU0Oo6pcf7aNsdnY9qxQSFK8KMMK4RA70Uk9uL81Jy6Kvtx6Rvjsmkm4c9/bp7/8icqe46PoSmqnKaIdCh3KB1iTqr9hZAi1KFmfDAOLbqC//HeNjddfIy/u7/Ag89VOdm2me+oFE2puSzZiSxYltK/68u9hBwCeI5OuWCQZQnb9+k02irTtRKrJwO+9/oO+04sce9zHrWm4F1v2MgN119D1/eB/7kS4OMjFWzLYZ9usdiIeWFfDUUY3HiBYKKWMlbtEqY+j+8SxKnDRFmlUpT9tecIPBs8J6FgJxS9iEpBLnpMo8uZ5ZDZMyG3PWRwaLbAg9sLpJmDZeqUzYyykVdtc9AnO/02QrYCjiXVPe7QIse1Qxzbp+S1EUaLj93r8tKBESzHoJKr8x1TmvXbRm7NbKhS0GwMbOOksZHcpDa7IR+5o0g3tBjzJE9FV7MVY0EJcvokMV2XLrVCkRd+b0WdpMMxgfStnvthtoK+X4ucP8vwpSCRNNYwIk96TqWgIM9plykLEuBRrFHyDP6fd7V5YmeHVmTQjQROlOFHYEQpephgaApdTe3zs2UisT6wltYSzlsX8xNvXeRX/8pivlNCFQJFUYbalR7Ahw6eOdj7vJqhg2eaClxb44rNXa7Y0uThFzscnDX4/IMlljsWBxdt3IZC2Yaql1C0kz7Q5ZRMpehqhJHCRK2DYiyzZ6/GjoMm42WdiWqFNRMZ77oi5uXDXVzHxnRGyZRO/zVog+tOB8U8YBj2wenx4votaxOiVIL04KmEHUcTnthh0u26rK5pTI5olAuK7K+dhIITU3SlKqTgdAiTLnOtiGf3qHziXo+Fhs1y3UJRNAq2wFTBVlNcPe+PexMOU0gj9VxN71gKrgWOncotpRXj2nFeuQMqhQ660eRT9xjc9tgYwrJkq2MM9d2GkL7VudbTyglgVn+CIa0tigWfe54SvLTPQ9U07Fxe18/4VAciDSMf9en6IA5F0VIUTU4ZehbIgyXP0KKnv6EccMwB0kSG3oYphImQzLz+7TwbAnYvN1I6zAahwYUbO1x7QZ2vPF6gbSq4kcAMc+tqVZouaX2btDwKRsvQND3ntdhoasI7rm6y99gsn/iqynyngCoEKgNClxg6eMpvRu3zV4ZzinqCjDhR6fgmmppw5ZaYa7ZFvP2yJRZaKf/3Xpcnd7ssNGxmzxiUTIWRQkbJlj9j11JpuhqtrkKc2Fy8PmXLqhaPvBzRbcPzh0wOnNQIIpWpiTJewT3oufqBIanx4Ffr106xa/uX7zt3o/2Z7Z3RXw9ae3nugEa9pXL8jIMqXKarMLZa9tulgtxeenZM0QsZLXdx7Q6toMtDu+CBFyz2nypy4KiLphoUTZickFVA+m7IcZSlS3DbhmxLVk448sptD0THbm4V4dkBRa+DEE0+da/K7/39OMvdIpMelPLWxM7lb6YpcnP9HNymFFVYZpobs8uobiF8Xjyk041s2dZoPWOaHjNOGeqpMwaOqHIuXW9lHDwpJxnyne2xEc/iF+Y9be/gliLTntdOxbheQhCLnHyUK2ZiKQuLY4hjcvN/hTCWAPdDg4Knc9H6Dnc87tMIXTxdYEUpfiQwogw97FnZ9SSDcqqi5j7qqpqiCHlm+qX3NcnEGT71NYX5rocqFISSDr3mdIXBqCIUFJQhr8bBBZ2kCqqik6aCM4nkmztWxHgh4Nd/oMPeE4vsPy24/wWHJ3YVOHPKomiqjBczyk6M10pYbios1zVOzbmMVW1u3Bqial0Oz0e0Ox2eeElnpDbGbLP8mVvvePq+H/juN78a4ADFgqBS1O75+6PGOw8eqFzY6SqsHjO4/OqEydEuup6hCpVSIcazIjKR4tkhitLhyFzI8UOC2x92eW5PgU7bomQqbBjN81ZMOT+OE4XFZkrbl5MES89yDabANobBrQ7aEiuRmkwrxs0zXzynQ63U4NYHM37v78aY75QZ8wSloXm3zPrpRaKoeQ/OwLTdjLGMCMuM8Byf3UcS7nikSheLmp7lh7Vsha2Ylqcp99LbegCxzIRjpwVPvqDTDQSKMySez84iWp0F+TSVyqirLw5Z9UDE6dOCOBW5akZuSOM0zQ13yNUzOcgjmdlTyEzeeW2Lf3isyd5jNm1DYEcCM8+VHAg/ZB8unXglyDVFy2ffGarqUiul/Mr7miy25vjs1zU01UJVFIRIh+zq0rwHzycsyC2jbL/U/vZUiAxNVWh2DBbqBnEisAypsy04RaYrPptn2lx3bodn93W4/RGbEws2B0676Es6BUu+gZ4ZUfZklLim6UxXLTavSlgzHjB2bYxdDF9shM49IuuseJ9XAHzVhnfx3379tx7P4LlVY/qFM6NNUhq0YsG+k3DxxgDPjbj/RY1GO+O7rm1ypp5w11MWj+6o0g4slpYtRj3BusmMkpPKsZ6t5bZrCpaV8OKhgBP7BCNevuzQyWMvFKy8NbGHwO1aQ/K13Fq5WmpxbCHks18f4Uy9wkhJ7du9OSZ5G5J/zjxpQII7zQGe9kFuGiGe2+WeZ3QOn/FwNBVLTXNaLH1gq+qQ7GooVLbnWJtlKWmsIDJxds1+1WPFkiSTN3Zdy9BFkgt7Zbp0klfypK+cEfkU4iyQByZrxjq864oGv7e3TMuxcCOBFeWekVEqW5QwlXeinHIgTS81eaEqKapqoSop49WYH7ypxZM7Fji0MIoqDLmVXXH3GYwP+9RgofTF5oYu3+OC02X/iYyX9hpYxuDwWLBN5pctip5kDF6/rcO21V26cZuHdtS562mPekvnlmt8Wm2F+19wKdkGF63xEYnPgTNyC3vOtMk6L3jO6Xzx8e//4Q99Y4ADvOmaEVRVcM9DAR2/xVwrY8d+my3TJiW3xZN7uuzYV6DopmxZ1eCTXy3y4uEaRd2g5mWsnsly3ohcVLiOStFVKXowVo6ZGGlxpt3h/u1FRgvyjTZ7WS+WIolcJiu8UPoEqtxeuVJscWrR57c+UebhnaOUC7rcfObcbnu47zby0ZyZV24zk8Y0Q723ZwU02hEvHS7RTi3GdLD6ZqJiCOS9cV2ex5lzsyWHI0ZR0zxprae0HxqdvArhK6t7lglIMrI0keBO6E9hkjQliRWSOCNORF7BVx40/VDHtk22rQ0oem1avomnCexQ5A689ONbVFWgqmoeLCYBqShan6+iCHnwvfLcBr/zY4v85idUDi/WUIQuK7dsvlaCXBGoQs0pBQqammEakkFaKXQ4vhTw+Csm02WVWkliouDK+bfXlPNvz3aolQLGix1+5KYmV2ya5eP3FLh2s03BUdk03eCZXRVWlW02rUnYcShgdgHKFYOT3XOGzP2/CcCvfN3bUBQtdNRP8rXHY9TU5vrzTKbGO9y/XXDwaIWrt9hcd3Gbp/YVOHCqwrqKzkQ5k8aKPas1S457Cg6UvJRqMWJqtM1IdR7d1FAVNZerkYM7b01M0fdCcYYnJk6+hvfaLDQ7/H+fKHDbI+MYpjxUSuFCJlsdc7DQkQdLMQC3keRPCW7LCPHcDl9/QeHF3QU0RcfWshWzZDUXS6vqUGR4HpcysIKTt2+EzJHpka2+aRXP/9MnLmUCMmmZFmUiN9qRII9T2abIJY84q01RCUKdODa5ZFPANec2uOc5j6Zp4mhCWkuHWf795H7pvUmKkl+4OU9Fgn3Qer3r2gYpc/zGxxSON2ooojc+HFRy+b3HOYlM7ff4ViST+uJEI4gC9s1FdLqCTpBS9mJKHY2Go+ZhvwaOrbPYMCi5NuNVmzWji2xdDX/1hRrXn69x0eYmStbmwRcEs0sFiq6JqXfZfWYTP/kjbwvjOP7WALedcXTT/cWAc7dqauP15UKTeqfJZ+7TGCu6vONKlfUzHbrJIjsOuayp6qyuKZQLcm0tcy3BseQSpeTKRcZYpU21tMjdzyV8+dFRJorIKYcl+vFzjqkM5txWb2IiZ92u3aXotVhstvn1v/X4wqPjqLbNiJ1RNAfzbrs/81ZXtiZD4Vb9ubche+9WN+RzX/fYN+tR8wS2luZbv6H2RMn78DyHs5fi1svkVHKQ9wDez4kXr1HAe3tuet7cMmgqTQWkGUmWyR48k61Jkgj5/zjLWxUhQT5UxWXasMGqUY3vv7nF46+0afkGnqb070ayJUlzJVLSr+CKKseBiqL2Y0N6WThCZHzXdXU07Qy//FGFU40qKsrQGj8HOilCJNJAX1XRVAVDl1Zuc8sut1wdsOfEAl99aoRupDPZTWl3I2nD52gy7NcQ2KaGa2ssNXRWjWucv2aJnQeWeOilEsfnCmzb4PC+Ny7z7B6f+brOaHmMiy/d+NDmdZO/uNzofmuAG5bHgVe+2lw16e19IOXaw8dSNUtdrj9PY/VkzGh1mcdfjrjz0RJjrsX5azXGqyrVojzAZfRyNFMKTkS5EDBaaRHEDb7ybMrvf3YSPbYYraZ4dm+Zo+UtDfkSJ11BoHLtLkW3Q6vb5rc+7nD7I2MotsuIJSiZydChUvbddg/YvZGgmeUVfFC9LVOKLByryz8+p/DojiKqamDnUYdGPhpUe5YHvYzG/sFyAGpFSVCUJG+llRXOV4Pd36sxPjDBH67gMnE6ydRciykpuL2nNN0RQ62KDGWNIo0g0gkik2vOa/L68+vc8bRLMzaxI5F/P1nftkFTpbihlzkpN5uKbFXEoJL35t/vuqZOnJ3ml/5aZbFTkrpN0txOIw+6EimK6ImXpcWDoWksGDbTY0V+9fsXUcUsj71cZf+8zVQElSCl40fYZoymytQ8Q1eoFRUWmx4bV6n83HuW+PLjyzy90+Xkgsnq8Spb1gZMVX2CxE+avrP3s1+4v/mD33PztwY4SKbb0nLrp8ZLhctF3L4oIaRaW2bXMcGBJ1TOzFe4eI3B+mmFmbGMiZEOGSFJKlCFQRRruHZErdRhrNLg4OkOv/4JjxcP1aiaBqsr0n1K9mCyT3cdcrlZimdHFHKLNtf2KXodCoUGf/UVndsfHEWxpaay3Ad3Lm7uRdgNJSRbRk51HQZ3Xr1d26fZDfnqUy5H5gsUPQVHSzHVns0cK6q32lO+qIPbeU8Jk2UpOw5oHF/U0VSGEs2+WX8yEA9EscJ4Fc7dGLLjVEqUaP1lUZL0evEsr+h5j96r4InaHxl2uiaTtS5vfl2LR3a2aPg6jqpgasmQD3c2OFQqSV65e/14T82TV2Yl609Dbrmuzp7DZ/jDv1dZoJCrfVIGgry0v6kFaT8te30DRfGYrGX87o8us/PYMX7lY2O8crzEVFEwVkjxTBknr2gJSQr7TuhMVDVOztmsnzZ540VNzlvbYd+JNifOwJFTCmHmMjYytsP3Wz+lG4XXfJtfE+BrN7+F27/w2WRsckNWb5xg3wnB9r0GZxYczl2l847XCSZHYmqVNp2gy4mliF2HAEzeepns+aZGmyRZgyd2+/zZlyu8uK/KZElhopBSLUApV94XPI2iCwUnpeDIcWAP3J7Tpei1KboN7n9B8A8Pj5JZBaqWQiU/VDomfatlu2/cOQiTtfN5t20kOalKzrwtU8amPPAi3PNUEUU1cfLqratZPgocAFvpy9ToTwlUJcvzgVKSNOWJHTonz+hUK0MVXLx2L77CbBNBGAtWj2Vcc37A5x9LiPrqfsktf3UVlyp62a7INiXOe/EoNnnLFS3uerTO3S+4NAwLW5X+3+oQuAeCZ2kXoeSr9/6IT9GH1vQZqkj5nus6PLt7jvteEMwLD8lWSXMiWSYVHqIXkiJN83swyzLBSKxy0dolfu9H5vjwHSGvHClzbNFkdVVSAt5wSRdFDdh+0KLZUnluv8XRMzq7D5c4b73Hmy9pMbvc5fSC4NCsypZz1mSq2k3e/JZbvn2AA1x40euJou6t3cYrmyx91t15wOPidSobV4WgBpyp+zy5P+PACYWTc0VGXIPNMzqzixkXnLOMri/xt3cofOprk2RpgXW1jNFCRtkVFD2VkqdT9BSKbjYAtyN77oIT9Ct3yWty3/PwS38zwYGTVaqeumINLw+l+aEyP6ja5lDfbeZGQn1w5wdL26ftB3zxYY+js0W8oiKTB3qby6HY6D7QhxTwqjqo4P1qmGeND/fd32SAMvh9BlmmyOlJlMmE40weMHtr/zTJN52prODJinFh3qrE0nat2bGYGfG55fVtntndYiHQsTVVjgpVVsjT5PeT9Ed8vRxURaiD/lpkKDlbcMNkxh/+ZJtf/ugs9zwjmM8kyDPk2jbJZGCWVDZlpJmWm/brJEkvpVrjvDUN/vpn6/zd17v8xZcmOF03uXCtgmdU2bzG5+aLWxxf6LL/ZJejpzROLZqcft7myJkSM2MOOw+FjNRG25dfeuWtjm19Ixh/Y4BvXD+Vfe62r3xYdc7/KU39R/fc9TGa5vPk7oCTCxrtjkuzrVKwNS5arTA9qrF+JmPT6gaGuchf363x918fw1FMZqqyJSm7ilTge1oO7pSiK83s5SJnwC8puB3KhQZffRZ+7W/H2X+yRtVTc5VPOuCK9ycmEtzygMnK6n0WuB0rAKXLrf+ocddjZRTLwNHA6q3mVfJqJ/pTFGVoeqKqg1gU0YtIEWmfZPJqW+XXKONnO1ghD5pZrlhOMylhS/I+PO1V87xdkQsgqZWNEmVooqIThgatrs3brm7w4sEFPnG3RT3wMBUhl1PK0F2o//p7YmOlT6Ja4eQFUuUvYM1Yxu9/oIUi4K6nYV64/eQJ6T6b5q8ty52vNGma3/MUjyRjcLKm874b60TRLB+/e5TdJ21sE5YbHjNjLpMjAVdt9jl3VUrLDzm10GXvYYd6xyAMM2688pyFE0d3ffiiK96d/ZMBDnD5xedSbzT4/CvPMVmaY/8Jg0azyKZJjUpBnuSDUFAuClZPRKyeaLDQXuJTD5rc+ViVmq0zVUopOYKiq1DIwV1yBUUvpejGFPOq7dhhbpQeUHCkNfK9z2b8+t+Os/t4jVpPWd/jdg+NA3vbT8uQQg3bzHDMtF+95aFS9t22GeDYXfafivj4PTXO1Au4JRV3KERL7S91erYQPcppT841NE5Teoy7tI9oCYpBD/5ak5SBi6wYivKWABc5wGWiQ5YDPcureZYfPEU+Lxd5Ne/NxFXCWPbiI1WDH3tbm0derLPjuMGyamD0Wq2hmbcYkqgp+ZUpqbK5bUSfY5L1v7d1Exm/+59bANz9zDjzqUuYKgRJmjMie1mq2YAeG6typBlJw/yurzFWNfm+6+tYxgJ3P1XgpaMF6u2UhYbGkdM2YWSRpAmVQsrkaMCG6Zh9xwO2bXCYmN6M45S+GYS/OcDXr5sKtr/U/knHW/P5k3Ndd91EyoapFq7TIVM09hwaZaZmcM6qLrXKIq8c7/CRLxdpNl1WFRRGi0j6oy3V0UVXoeghZ6Ce5LDIdiTAMiIMI8QyAly7zX3PC371o2PsPlGj7OqSTmtmffGxc1b1tkxlSMDQq9xxPzm5d/HYlo+id3nwBZOXj5TQXANXHVTvnslPz9BHUYd51D0VPP3Dl6JIcGtqhqopgykK3+ZjODowk1UvzeND4ryK98Nge+BOJNjTRAxNVZQ8ViQnYek6zZbDplUxN17SYO9hm3ZUYllRZXpa3mf30ppVkebtSTIgUOVToRUXp6A/OVk/mfH7H2iQpvDVZ0dYyFzasYoXCrwAimZGMUwJIqmnlKxIjTBS6QY67a5Ko6MzWrJ4yyUNrtza4C/viNh7uEQnyNgwmTI1FrP3ZJ3ZdsqxRQclM5goZWzesLatCO0nDXsm+GcDfH5hPl2/ftUzP/K91zTuvGOH+8h2WD9pcuqgwvySzvlrFTbOdCgW5vnDz8PuI6N4qs7WSYVaUfJJeuJc15ZVu+zFVAoRlaJPpdjGtduYRjfP1knR1Zj7X9D4pY+M8sqJKqWCzoidUuxxTIbptJaCbWo5+3BwqBzuu+2eoZAZ4Fg+ltXh7icV/vdtI0Sai6epuFoqq7faS9ntOU/lfbcY7r+zIWFullsRpxw9o7DvqA5C9C2Xv6mVcn+KIoYskxU2rYpYOx5xcjkjyZQhcPeALuVvSV7Fk0TkMd95q5LklTwnYem6zc99d5vjZxa58wmdhvDQFSU/ZGZ9RqMEczIwG5Vp9T0NUv6CtT645cdnrJ9K+YOfrJN9JOPrz4dksU5bEXRVnYWuQdFQGQsyqlHaZ0aGUUrXV2m0Vay6wtySxkjZZHrU4Zfeu8zO42f4i8+PIE5bjNV03nmNyVw9YnZBZ/1Um8dfcanM3NwYn1r7TKO5mH4zDH9TgI+MjADm/OJc8J6Z1Zc+OHX0Wb3RTchiiys2GVy6tUOlssCffdFkz8Ei60dUZkY1RisqlaK8xYeRrH6eLfWY1WLIaLlNuVCnE3X4+H0GT75cJk4yXL3NLde1+aPPVXjlRBnHNagaGQUjzVf3oi9j69FpZYsiJCOx35ok2NbA59CxpGOWa7e5+4mM//ZXNU4tFTAsnYKW5YsQhg6VZ9uxDR0ue62JGIzPDD1l1yGF517RUV8jSvBV7cmw6T2DDMwsVbji3JgL1oUcfvosLnkP3Gmvkg/EFMlQP54kal4lEzTVoKsmjJZi/vCn6qAofPFxlSXFkUofIfoX6aDfTofODmo+m89/veLCzfrBuhunYn7/J5b537dGvPvaEEM1iRKVJ17RuPWhMofrBdqRVMjHSUySSpCrbUEQyUN9paByeqHIqnGL82eW+fF3LvMXXyzw6E6XbuCxYVWXktfl0EmFKy65NOoGyXuKhcJ8kDjf9Ab5TQEuhEXQOsja9RtPtNrBwXse3LXZ0SLGqyn1oMETe5rsP2Vx/HiJyzdqrJnQWDWWMTHi47kdGi3B4ZNldE2hXIgYLftMjTTxkzq3PpJx60PjHD1VoGSoxFnGhlWnSdIOe0/aaIZByRD9yt2TsPV8UQYAB9vKcsP8FLtHzDKH2hLTp+S1WGwF/H+fGuH4QhnNtinqeWajKnWXutprQQbSLmn70DPDz4GgDE0XcsDL0Zg8oPXTjsXwe/kNZuJnRZcMNeSyPRluUXJu+SC3Z3AQTRLJQOwvf2INNUpRVANFcZioJPzG+5d5fKfJ6brCkmKhCiU/YGZ9H3UhUlaE02bq4JyQScD3xoi9tb+ph6ybDEBRsE2T9eMjJKnGJed0eOeVC9z6cIN7nhnh4ILDmjQFkfQNOA/NhzTaUDRVJqsap+cN5pZG2TDT4qe/a5mDpxsUDJPZJRuByYbVCus2bjxYrK07sX3nUS4+f80/H+AAqqrywlNPHikWiz/+XW887+F7H3qC2WUT0xR87cUyNdPiyi0am1ZnTI21KXptkqzDQztUDh4tMFWBjTMZ5ULE5EiTVCzyF1+x+MzXxhh3DM4bTxktweSoztuusUE1SRGYmkJRz3CNtC+EcHNHrZ6MzbaQypzhtsSQT8uUxui2FVAqtGn4Pv/ntgJH5iqopkNJF7J664Mw0l5/3TPP7LHnBiy6QVsySDrO+hu9gYsIKw6YK0r50Hl/OLKEvqE9/do+APXA47AH8izL8k3ncI8+mKpokYKabyV7wVvTtTb/7T1L/OFnVWY7NXSh99sVIbL+IVK+pkR+nTQjzVSyTMltLxSEoqIoOrqaYugGoWWgGRqHZiv84d8XefvlDtOjgtGKx/Roi9983yIbps7wJ7ePc3TJQdfkFGxmXOOic7vsO9XisZcM6idNTi1pnJw3WFgucNFmlW2r53hmt4qlw7FZn2ZyHct19cdPnHz8yKYtF3wr+H5rgGv2GrqdDpZtn5praI+MV/deZ+lL7D+lsnnM5LJNKudv7KDobfafDHnxaYWTcx6nTrtsntbxbIWyFzJZa5GyxJ9+2eIfHphgfUVjVTVlrKwyMWKwfhpGSzqnlnUURcPRBJ6R4lrkz2HBsJBc8b5oIVfnGINxoG3mjllOl0anyx9+1uVjd08QiAIVS1AyZBBTj/Pda0d6i43+qE8ZBveQC6uS9UEhzcOzQcqDyPimrfer75V9m+LhCj4woR8krmX9Kj6INBm0LtIYM0nkxEIova8przLPEfzndzRRtXk++BmVuU4VTVHzVqWnLMpyf8Scxdh365Jef3nZk64AqkxOc20Dw5S88vklk50HMtpdnVZXo+PrTAc67712gTSd5cNfGuPYko1npbQ7Gbbq8Z5rUq7a0ubofJcdB3X2H7M4Om9xZsni0q1j1EotXj6cYehjXH3Z5kcuuOjqU91uF8f55u3JtwVwANtxeP6FZ/aXiqUPr9+w7bpHHn+I6YrLxZtSFtt1njkQcnpB4ZWDFZotk1oh48K1glUTGjNjCTPjbTKxzB9/0ebLj4yxvqyxqpYyVtEYq+pMjQomaj7FQoejSwmaZlE0kALknhrekS6y0gu8145IYBt5gpc5BHDLDCm4PnHa5iNfsPjEXeP4ikfVEZT1FMeQS50eP6OvRmFwMHxVglr/94NxWa8P7/2DFW5n36gtGRTpoQo+ZG6f9wdp/8PO8g5PgXSw5h9cIAPPwDhRIXfHShKl7zFe8uD9b23SDOb4o8/pLHdL6IqCpqS5j7e8OyR5YkNkiHxr2rvA1PzOrqCrGqah0/VNLMtEV0MWuxmzSzGGDmlmEMUGcVIgThTec+08qjLLn39pnGMLFp4do+s6flhheszlyk0+W6YjXj4acnIxpNtRufvxEhedU8HQmpy7dTOm5X34xe1P7b/o4iu/Heh+ewAHmJ5aTalYfGZhqfWlyy+cu6W+uI+lts8TO026foXRos7NF6c4ZpeDJwzKBZPVEykbZ9ro+gJ//CWdrzw+wpqSypqRjNGKzlhFZ7wmmBoJmBptcWapzUfv9rBUk2pPLGHl/t+OJo0yXRnj7VpySqLrPevfDF1PMPVY2jEbAY7d4YHt8LkHarTSIqOeQi3fgpr5oXLFlONV5XVwWhzuuwcbvrw+9uIfpHkCZ2UwvPYMvPflsoGzSH+qkj/OFiz3WpNenR1Weoqhlwt5X56qhLFCqGpEiUqSymCWWiXlvTe0ePzFRb76nEVTt7DyQ7UMiJXZO2okvQ7DSJraJ2lKlsppiqIoaIqGrqdYpoXruHzgbQ1+97Mux5ZcdDWWpvyJTpIaJIkkk3331fPo2hn+4ovj7D9to6oRqmLS6uocPp1hGw7rpzKu3uTTiQKefHmZvUd1tm7eygXnbvnS9MymZzrd+rcL228f4OPj4zy349iR8vgVP7uq/bw6O5e9c/9Ri3PXWExWUjw35vRyk10HM2qew8wYnLO6hWXN88df1PjHZ2qsL2usHoGxqvQoHKvCRDVgcqTF5MgCH70n44HnaqyuQil3f/UcCe6iq1DyMopuQtHNl0NWjKYOliKqIt2idD3Gc3z2nYz4489VOLZUZqSgSH9xK8U1ZaiWIqTmMQgZWqb0+uAecMSrKznDYO+1KNDrCb6Vmufsx9m88Cwv6/22BFYcRPsSuGzwGYQYog2o0qDTD6XVhKKAZcr47Z5p53gx4Re+r8WxM8vsOj2GqyuYieTgZJmgm39tXZG7hTCSeTxpmvNMFE1WcU3D1A1s0+MNF/s8s3eRj99pYagqEOfnA5001UkzlySFt18+j67O8uHbx9h30kJXQwxD47wNdXYegq8/W8J1LSaqOpumA+YagOreufncK36W5OTRQmH1vz7AAS49fxXPPffE0erE5Tvdg813XrntJfaeFLQDg2bc5u4nVCaKLjMbFM7bUMdx5vjTL+nc/1yVdWWNNaOCsarGeFVnvJoyXpO9+cz4PPe9EPLJf5xi1DMY9ZKh3B25ICq5GeU8LaJUCKgUuhScDmmW0mw7NDuyHxMiw9ASkjTinicNHn6lgq1L+7aSlcrPm7c9mipYbKYsNFJ6Lu+6OgBVD62valtWjNUYquADdH/TpONXPc4yyJc9yKBF6bUl/dc1qOQDhb4cYRp6gmNFCGCp6bCwbKDr0nEsSUT/PbKMmCu2hLz1yjoHv1IkiB1SY3AObgSw6GekmULFVBh1ewCXanq5I1BzOzgdXXewzDL/6Q1LHDs9y9eeGSPNVJIszvkzBkmik6YeWSZ4w0XzJOkcf3b7CDuOOOh6yqrxIm+9apmvPNZCZC6qEfPw9oQ3XbuZ6665fOf27c8evfjbbE3+WQAHUIxVzExPfygwDq4/fWru+0Taoht3efIli20zOlecm7Juep5Y1PmzOywefaHC+qrKqprou8tO1BImawGTo00mRxa465mY3/37ScKuy6pKSnnFal+l5EG5EFMthlSLXUbKLYTa4GsvKnzhkSLrR21uusikVpRLHV2PaQUxz7xSgtilWoKSKV1lS46Qhv0FjbGKgm03+PLTIfuOOEwJ6YKanGXUQ78VGW4FshWTh9eG7bcG+cpKPPwXeQ+eDV7Lq8aJvU/fG9tpcns7Um6z51jIA8+rmJrOaFkhKEjDToGs8IaeUHB9Lt/qU/uaz1LooAgwNGmi+Z6bm6yaavKlx1Tuf7FMt+4QpSlplva/pky4yP1VVNBUj8layq+9bxlFnOGrT44SxDpRnBAnYd6uaMSJRxQr3HDeEmmyxKfui3j2oMdSy+B151Z5/UVtHn0lQCSCGy4rc82lI7duO++SD4XtY/9UuP7TAX7x+TP88Se/Um9ma37s4k07pr94f+Na5kyu26awbrrB0YWAR+8XvHSgSrNhs2FEMFFRGK3oTIyoTFRjpse6rJpYZrbe4E++rHHr/RMkvs2qSkrNg5KnUHT1nLcC5UJCJQf3xEidblTn9z9d4KtPjrO6ojDjGswtKThmRtETKCJl3zGF7YcLOI4UI7tWlrslSXCPlFUmRxIu3tyhS4sXDxq0Q52ClfaGGCuAOtj2DfXcw5V7iFD1T6reZ4E7y1YO0M9uTxhqUXqWFD0jIU3JcMwYw2jz1ec07n9BcMm6EAUdUFGEiqbo0hNRj2m0bbat9Vm7usvcPglc28ioFTUsbYTVVZMPfWCee545xR9+ZoRjS8W8xUn7SRdKn2mpoSgWZDBWVfiVH2iwcfoEdzxV5eVTRYIoJU5C4kSXFsqxSzfQuGZri22r27xwMGLfMY0HX3JZP2tz/roIVQ944Ujx0f/3stqPzR75TGd87fu+8wAH+IUfeQd7Xn64k6Zv2DWz867XeeayvvdEm+f2moDJ7KLOhJ2xqpBRdDVGyhrjNYWpkZDVE20cZ4kXD/t8/N4iT+6oMFlQGKnKtqQ4xDgsuVAqJFQKIdWiz8RIg05Y5/c/5/GVxydYV1FYMwIFR+2vrOWoK2b3EY2jJ1ymR6VW0zUFriXwXCl4rRQzKsUI145RRIyfpISJ6LcnwyTAQSLDWa0JDI0Jv11EvzbGV9oCDebgK6YtnAXuoX/Ym+ioaoKhhSSZSitQWG4n2FZPeqdi6CqGrmGZBo2WxdpJjW1rfJ7bF5NmWn/R1WhpHD1dQFXgHVcsoIg5PvQZOFEv9ZdDak6zVRU9VwPppJkgjlUqRYOfeFuD89ct8vF7Q/YfL9EOdcI4JE4ySe2NLJabOrpW5PyZkDEvgXMDlrstdh122LR2jPd997vCJ59TOldd9q1n3v9qAAd5yHjp5YP/dc26Tdfcfu+u80zV4vrzU+aWFc5dnRHGGfWmTqWgMVoRTI0GbJhu4HmLfO4h+MsvT2ALi/MnoWhLBbZjSq/DgqtRdAUlL6FSiKkUA0bKLVp+nQ9+zuWORydZU1WYLGVUCtJIU9fSXG2T0PZj7nnOlat4XQZNSW9DNf/8UHQSCnaEY4YYWkpPXdOD2Epgv0bo64rSm/3T3rzs2/nLbMWfDA6X2VCs92DTSbbyrBDHGa0Qmj4UOnIJZvRkfIZK19fpBgadjsUbL+1wx+MhQaKTpBAlKa1uxmJDw7EcNC3llqvnUZQzfPAzCiebhb4aaJBVpKEqkvftBwrLbZ2Fhs35a1r8+U8v8ed3htx6f41uZJIkkRxDRjpdX6PeyQgjE9eKOVO3ufZ8n81XhRTGL+yuWbX+aSG+beravx7AN225mk67m7U6nTuPn17eWNV3WXGiUS5omEbCsTMGpQJUSzBRC1k72eDI/DJfv9/g/qerTLk6q2uSg2BbKkki7YIdS81zc6Rra6XgM1puYRjL/M+PW3zh0XFmSgpjhYySJ/3HXRtsq+dSFXFqKeHpPR6uqeAZyYBWa/UcantJbAFCCeiE5H4egy2mEDlXI1/bix7zrtdzv8rX5J8I8m/5eO02ZUC8ymm0vZV9boov+eMaBSshI6Hpa7SDDNdPsEyFjq/RMVU6Qc7o820uPafFdK3L8VkHPxL4YUanm9Joayw3dSzDxtDK3HL1PCin+B9/o3GyacvQKjVFU+Pcr1FDCGh1ZFanbUk7iNXjFj90Q52x0jwPbC9w6HQBRYlRco90x86YbeZ3UJHw1acz3vuWjf75F77l/2i6+eu2bf6z38V//qUBOK6d7tz+8G/fcMnIH8xMjYWnFzQyfMJQoVLKOFMPCKOEyZEuh2Yb/O5nPL749TEmXINtqxTWT5tsXWdwzYURBTciTcE0FDwno+TGVAoBtVKHiZElHt6V8ZUnxqi5BmNeSsmRrYm0HJBWxLYp3WHvf94g8B3KeUygnfuCSyu43G/FiikVAubqEY/vsBGJhqUN0pi1FZzwQUJzvw9fAUQxQOA3hOmrH2d/lsEv5OdUXvXx+YaxJ2FL0r66J8mFyGGkoioaV53nM1rxqXcEHT+j46d0/VT+OhB0fJWur9HqmjiGyQ0XNwmilE4k6AYZHT+h2cmot1TqLYPFhsNivczbL4ebL5jjzHLI6ZbCcjuj0UlpdxOCUI4qG37IoztDXjmUsv+Yzq6DReYXx3jvtQ6/9oNLTE83OLkElp4wWm0xX0+wDBVF9ZkqhdRGJsK59ro/eOTRx3/bts1vyhb8jgIcIE7DcGRk7IOL/vrfWei46eyigedGkIVUPZWxaornNfjKUwadRpErN6psntFYPWmyfkbhvA1tlv1FXjkeEiUZpiEoOCnlQsRIucPEyAL3bY/5o89PYBg2415KyRU5uDVcR+Q2E7Iih3HA03ttyAyKZtoHt9V3qc1wrATHjnAsn6NzKa8ctzFVBVvPch9CsUJJr+XyNNEPsF85s8764M76h8Bv+Rjun1dcEINeY3ju3uu7swzSJBs4XcW9jHhBFCkEoUoUG2yezlg11qUZQjuQoPWDhG6Q0vUFXV+hE2h0ujpgcfmmAN3wafiCTgAdX4K22YF6S5Mgr7t0u2V+4XsCbr50luPLEaebKvV2RquT4IcpupaxdV0Dt7TEziMhh06EHDoJu4/YPPPyOCVrhLdf2WHJj5hdVlhouAglo9MJGfFgzZSaXnPh+O9UK2MfDKJu+C/F578Y4G968/dx+AzdmVXnfOntN56XFb2Egyctmm0FRUjbh1sfFBw5XubqLQaXb9XZvFZlcgTOmekwPjLLFx5TmF8y8mhCKBcixqsdVo0v8ODOmN/+5CTHThQZdzPKToZnizxFQskT1hIcO6Tg+Lx8JOWF3SUqLjLB2ASz51HYMxSyYjwnRFF8nt+jc2bWoeRk0i5CB0NTBk+dPN8mX8sDZIPc+DTLm5ZvOO/7pz1E/wAwsJ/oubaSix76JvJRStRXzwjCSCGINOotk6lRjcu2tAmIqPsK3YAhkGd0QoWur9LxDZaaDpdvhq1rmyz50A6gE6R0ugmtbkazK2i0deotk6WGy5oxj9/64Q43XDjHoYWIU3VBvS0viLYvGC1qfNd1LU42fA6cSjizELHnSMTTLwueeKnKhrES33dTnaafkRJTcWPWjMNsQ8GqXpVt2rz1S6OVoPtd737Pv/j9/BcDHODaS6Z5y81b9l1w7qaf2rLlqlSIhFNLCllmEGUddu3z2Dptcc2FCVOTixhGU+bruHU++6Bgbs5lVU1lpKQyUo6ZHGmjakvc+kjG//rMFGfmSsyUMyp2mudk5ozCfj5mjOcECKXDn3/ZZbnrULEyHIMhQ0+R20skOGaEZ/t0wpAdR20yDIpGKp1odQXDECvs3kwjk8ajOaVU9sFK3u8qZKky1KJ8eyB/rY/qrXt6nERdDJKV1bwTSlIJ7iA3yPfDhCAEPxJ0QwU/0Oj4Bllqcd7qkILVpRFAO0RW76Eq3glUmSzcMXBNm5+5pU4iQuq+QjtvazrdhHYXWl2FZkdnuWVxerHIRKXEr36/z/fdeIZABJxcEiw2YuaXMo7PekyXXb7v5mXqQUTbhyANOL7Y4NEdMXsPl7hgrY3QQ5RMo1aGTKRce+WV6djEuT/VUS/bF6kb/zWg+a8D8Mr4hby8uxtu3HzVx46cUf4bygiv25xyyZY2dz2pM1N1uOr8AJ8l/u9XNXYesBmv+hycDbn/uQIjrs70mM5EDWbGuiRZnT/4nMJvfWyKzrLHumpKxU1z1c6gn+6nrFkRBccnxefIvEfBVPDMbMgrpccbT3GsRAqbrS67jmT84/MlKp7II73Jbd5yCZyJrPhmgqnL2W+aIuVhiSQxJalCmg4LA14LuHzDZnx4VjLYikpUa0ruY6LIs4Ei5J0jiGXIVNdP8YMEP5DJbn6Qax0DjeWmzU0Xwba1TRphSisQdMMMP8jwg1T++0DQDVS6vkGr47CqCrrSYtmHti8kwP0k7+EFHV+h4+vUmxYnzpSpuDX+13+K+cX3nSE1Qo4vZMwuRhw7rbHUKHHzxYLVU21OL8P5a3Xe/9YAxWzwxK6IE2cKvP3KgOf2Jzz+osnGNSOcuz77b6+/+pKPrSrOhddfsek/DsABtm3dQHP5ZPLzP37LgR9573VNyylw4ETEmGdw3jkhdz/T4bavOVRNh62rFYqFOg9u11ATi41TGjPjCmunukyMLnDX0zFffWqENRWLc6cE68al54kqkJ53ppSo9cNfnYBKocXf3W9xcq5A1cpyhY/IRRHS9cox5RrbcwJavs/H7/EIug4VK8U2Bq5YttWLBpe8l3IxouKFaEqGH6p0g16vqxEnqqzimZDWCcPAHmYWngXqQe8u+ozAHsjJTSyNXITRc981DWklsdyGeiej2ZVtQacrQdgHbKDRbJs4ps0H3tKk6nSp+4L22W2Kr9D2VdpdnWbHYrJm8CNvWKbVjlj2BS1fXkRdP8EPIIwFSQqdQOXgSY/dR6ocPz3JOy5TeNvV8xxbjjl8JuHEbMTeYzYiLXPDRSFL3S67j6g0G1V+4EaFt16zwEsHEhaWPVaPh1SqHoXJNzZHVr/3wNGTc8nUqvX/WrD81wM4QKHoMDsf3bnxnKv/6/SGNy8uNKdYOxny4qEUWyuyflxn1ZjK+lUdXjoSc+yUy4YJg7VTKuesClg/Pc/B2S6P7qywYcxg05RgyxqDd1wbUalEhLFUgZiGPCx6ub1bpdDh+ELAXU+WMYRGwcpyj0Jp4SYBLmfB0pqiy/b9GU++XKJkK3hG7+Olw61jKXi2VP1XiwGj5SaZUuf0UsLckkqro+GHUjwbJwpJquZtStYH9nDawYoJSX+ePeCfZMNTdUFevRUMVRoRWbrAsxVqRZ2xqiBWY041YKkJrU5Gx4/zaiurbNeXbUq9ZXPluRnnn9NgOchoBwI/TOkGaQ5y6PoK7bxNSWKHt1weMTbWYK4taAeCdpB/fCidtAwtZbbp88XHU145qLHnSIGDx8a5bovCmuk6e2ZT9p2IOXwy4cCxAmtHHbZt6LD/VMjRMwqHT5h0OmXO2xiw52jC+eur/PD3vH7x6ksv/6962rwT1f3XhOS/LsCFWmHV6jEWW3z6oouv++/fd8sNc/PtChVbo1QKOVNP2bgq4sXDHf7uHg9HdTl3nca29SEj1Xl2HOvwoc+M4tddNk8J1kwabFufceGWJRQjJEVg6DIJQvbeEQXXp1Jscu9zJvuOFqnagwhCuydMHjpcOnaIqXfZdVSn2fSoOZJduKL1sSUlt+RFTI60UI1FPvrVhM/fDyfnoNFW6QaSihrHkobao7kOlDy9lkMMngwzB3tiBvoH1kG7IpX8uiINQC0TPEdlctTge2+O+bF3ztOly7FlhUYno9U9u5WQvXWjbVFyLM5f0yaOQ5qhQifoBcX2xoYKnX4Vt9k8o/O2SxvU2xFLXYV2V44Mu0Eq9bUiI0na7DjU4uXDEYdOCvYe9SjaNX71vRFb1y9xuh3y8uGYXQfB75Z4/5sE551T58CJhLGKz3IroN4wufhcj1Xn3Dx36eXX/fdKMfp0eWSKNRP/gQHee0yPF+h2g0+MTF/zK9ddsXXOcyNOzqtcd77CmUabOx7WGLFdrrtA5arzu9jOHH97T8IffnaMsOlwzpSUsK2agPM2LPPK8Yijp7R83S6zN4uOjAIvFzocPBPy2QfLZJme02GHQqxyQXJvNOjaXRZaIXc8VcZ1FVwjy42ClL6I2bVSCrbcoAqlxR1PKGzfV4RU0OomdPKobZk6LA+ZPT738OZzWM+pDDXiKWLge5L23GXFwBVfCFTRs4+TUx3blAl2Ap1L1yu8+5olQiVioS2GQChfW9vPFzq+wXLT4W2Xx9RKrXxCctbIMCAHuUajY5JlDu95fciaqQZznYy6L2h1UtqdmFYX2l2NdeOCzavb7DyScOJMxPFZhb1HPVyzxi9/b8qPvnOeRtzlyVdiHtmu01gu8z3XRYzWFnnkJY/xqkIziClUz5976xtf9ysQfkKole8EFL8zAAdYv6rEuH77xy4/L/vFUnFq8fJNEbFo88iLGmtGCrzpdVCrNjjTmOPj98JjL1QoKg7nrtYYrxmMVVXWTvostht84WGHODCplVTKRZVKIaFcCBmtdkA0+IvbXA4cKzLi0E80lqLkwdzbtSNcK6DgtrnzSYPdh4tUrGzIdlnpz8nd/O5QLcrMoS886tFumThmmitd8qSFZADQXqi8EEOuUUP2E/0KnvWU8GLoqeTVfOAyKxA5gUrkEeJSkOAHCp5t8T3XdqnYHRaaslfu5L1yt9eqBCodX/bWW9fovPvqZbp+RDMQdHKQywsipd0VtLoa7Y7OcsvhnBmDn//eRYTic7qustyG5VbCcjNhblnH0Fy+6/qIYrnN4dmU2aWYU/MqLx8s0u2Oc+M2ix99+yK10SXm2nW++pTGkZOjXHuBAmqbp15WWbdm1eKBefcXf/VPH/yYENXvFAy/cwAHcMZ/hANHtE9dev7Mz5SqM81ndxpsmi5w7QUKqtHhqT0JH/uqxUt7S1y63uL6CzW2rJfLnkoxZbza4KvPKWx/pcBkWWW8qjFWSZmo+ayZajBeXeT+7Sl3P1vBFDplOx3YSphq7qGSV28zouT5HJsL+eR9ZSxNp2TKUaK0Wu75k8s1fsENscwOO48K5uoOVTfrK156Vg8r2or8RKkKaRzUq76aNsj2EYo8UCYJ/aydnhWylJWpeauT9/L9T9tT+8gJznLTZKSgce7aJo04oe4Lun6WV+SUbtBrU6RnuB84/PDNAavHm8x18zalV8X9/OO7imxT2iZR7PDmSyPeeMkcp+oxB2ZVzixlzC3FnF6A0/Mul200eMPlLU7VE5abKUGYsetwwsPP67ywe4xL1lv857c2uGxrSDfr8Mh2nX2Hy1yyQWHTxqlmpq35mUkv+dTv/9wt30kI/vO5KN/u49AZI9WM0q3Fohrf8DrlkyfPHLUSobD7EKiZjaXGbJsxue4iwdZ1S3zxcZXULzFRDTm+6PPUyw5jBY1VYxpTY4L1021GK4u8cqTJFx+L+MQ9JZY6LmsrPQ1nb0Y+tLXMe29D73LHYzpHThUZ95BJbHnltl+1CPKptwO++IhNu22ybkKGUSmK6C9dBtiWtguZUNCEyA3yZdU1NQVDV9B1FVWRU4ggklXdCCHMs+fj3sgxT3lYwS/ML6o0kxdDu6sxOWLx7mubPLHXp+47lIMUx09xrHwE6Iu8TdFpti3WjOu845pl/vLOEo1AxQtS7CDDDhLa3fwg3lVxuwbLDZvpUYtf+oFlRisxOw9XOHaiQJKBoUW4ts5IucSVW+Z57KUOp5dLXLQpwbDr3PmowULdQlEquE6GklhcsD7h4LEuJxZCzMI5/vrVEx8olczbfT/6F63hv53Hd7SCA7znu7+PdaOLyVuuKty+9ZzRHzr3nBn/zGJExdJYN9ll1IOrz09Z6iyx91ST3YcEtSLYZpdHdyo0GxbrJzRmxlXWT3Xw3Dn+cXvAf/+bEf7iyzWOLdo4hiIV+KZU6khribx6mwmOGePZASldvvREEUUxKJhpPicX/dx5u9fOWHIRdGIh5sHtRcq2MjDE70Vg93xRRM8sJ0MoMr3MyINjzf7ER6XgyGTkIExodRI63Qw/FASRtFuLY5U4VkkTNbdqyFaq6HNX2SgRBLFKo21x40UJq0bbLAdiRW/tD/XWXV+j7ZtEsc0tV/toSod6AJ0Q/Jxz0vHlMqfdlROVrm/QDSwmK/Bf39nhj36izs2XL7AYBRw6E3P8TMKBEy4Vx+Ha87t0o4jFhmDb2oR1a5qUq/M8vkNhvu5xcDaj2TKpFEMqtfW+MCZ+6OjSzO0vH8ySt73tB7/T8PvOAxzgwtf9J3bs7yY3vvGKLxyrT79fmBs7lp2y74TBltU6R5YiTi44HDhRgsxh3VTMYqfLywctJoom66Y0Nq4KmJmc5fc+p/GZr05y6eoSf/TjCu97g48mUhyDfLwnCVheHoPiWDG2FVJwu+w8kjHb9CgaQo4Gc1u5XhKEYw4WQZrW5dl9GmFi4Rl5BEjf8aoH9F5gU4KiglBU9Hw5o2tgGPIsUHAVpscSxmtdZus+p+ZDmp2Erg9BKAhiabkWJ2o+V89IszRnCma5g1U2ML2PFLqBjorJFZtahElEM1DohtnKEWCg9Kt427epuBoXrmtQ76a0Q0EnyOgEGW0/odlJaXYE7Y5kGaaZwqfvK/ELf3EOO3av5YdvtPmV981zaDHgwMmIQydgdrHEeetUiqUuB0+lkNpsGNcZL7tMjrXZfdhg3Tg0WjFXXLCq85bryu//yQ++/wtFfSn56Q+8998Cev82AAe49sb38fO/tyv7L2/a8/nxqdEPnG6vqrumzpH5gBOndbauTtlzOOOi9Qq20+Yz9wnmF1y2rFbZsCphzdQ8D7yUsrRY5vxpg9dt0zlnRvbNpirdZj1HoeCqfUN915Y2Eo4VAV0+94DLcsOiZJ0NbtEHt2PJqMLZ5YDPPVDEUHVsPc1j98SQlXKe7qBKL+yFhlz4SI/DvD3RZetTdFNmRruMjy5you5zciGl1YnpBCl+KAHby9pRFZVyMQY17ds19Jxl09xoM4oVglAjjG2+/wafqVo7r8qS6irn1hl+IOgGcrPZ6RqUXZMfuLGNogQ0AkE3hK6f0e4kNDsxjXZGoyOXP2Gk0fYN9h9TeXKHzu5DNUbdCq+/qMGhuZCDJyJeOWwwXvR435vadKIOL+6zOG9dxJ6jgtWjGjOjDXxf5W3Xj9THxmsf+LHfOfH5xfv+KvvRH/6Xc0y+3Yf6L/8U3/7jyfu/wNSFP8pbLl67c/2qkZNOsXz9waNt54pzWgRJl0ajwDUXRpxqtHn5gMfmKZvz1gs2rl7igR0ht943wsYxk4s3a1y0qU0zWOIrT1r4bZuZmmCsqjNeU5gciakWo34O5kS1w64jXT7ypRrEDuOFjLJLrh7SKbkKZS+VpqClLhPVOrc/knH7g2OMeDpVJ6Pg0Ff4F5xeIkVMrRzQ8jt85EsWLx8sM1EUlGxyiwuNUkGlVkqYGe8QZw2+/oJGq2VSdiVPRrZH0lPRNGKmRzvoRsCju4okkU7JznAMISMW+8kV0uxI1xLWTXU4Ohvz5MtFPENg6RmmLvcFuq5g6CInkElaw/Rom6f2aByb9ajY0qUriGSCsqqCrsnRarkQo6ptdh5ROD2vQ6Li2hY3XRzRTTvsOmzI/AbFYqwEx5ciDp0wWDVqcqYZsveozuvOL7Jq7YULjWDLz51ZnPn7H357m80X/fS/JeS+84fMsx8/+4EP8LPA8ZPLn1q7RdM2r3v8gw8/ftfo49tVrjpXcHgh4IkdRbbMmKydUNm0psWek21u+3qJdSMGF2xUueCcJkG2yB/dZvPkzgIXzUiwVosKk7WIiVoDywxptApyjEfM7uMq7ciiZNGPPbGMXp5PJs0689676fvsOuah6yauPojz1obaEzUPpNKUhCxLSDMVVSiD6UkepWfk9nCmnqCFMXGaSf/snt9Inn0ZpwpJopKmGooIEZnkescpeWpC7ig7FB/ohxp+YLNtlU/FbbMUFCjnVdwPU4Igo5uzBts599syDbasCth9KEVRBKmAuXZMM1RAyH1AtahQb5m8/nxQtUX+9FbBjsMeqmpiGRW+/4YzLDQa7DlawTbADwrcfGGLx19us+OAy5VbNHaftrFqb5l725uv+uUsjj+l6KV/MXb+OY9/sxbl7MfMVJmix8c3b7vmVyZXvWPuym01MrHMw8+pXHmOyuqJEMeKcJwGj+/SqbkWF2zQWD/T5rGXG3zmPo84LLF5KsHWoeiqjFYy1kw22Hm0zh2PwZFTOnGiEiUxX33Wo9M1qDjSF8+2FExDxdJl1bMNuQgqF9p88l6Nzz88QtFWcHRJdur7FSqDjExNTdE0aTSkaTLESctN8tVeQoSWpyKrCYpI+6Y6cfJqwUKSyrV/FAnSKM4/TvSTjns+hEkqdY9BpFNvOdxyLfzgmxdYaktSlR+kBGFKEGX4AbR9hVZXkqQcw+KNlwZoaoimCFaN6bz92pjN5zQ4PJ8wvxyz3JKcln0nTExKvO/mlCsvXuTgGZ8d+1SW6hWu2hbTCEP8KOLwXMhzr7jcdFGMn9Q5cmaE//y9b5q7+cYrfyUIs4//e4H73xXgAJ7roaB87B1vuvJ/3HzzTUvz3SkuWGtgWgFnllImai0MvUWrabJ2TOeSLV1SZZE7H/HQkwo//U6f6y9oYeqCUkFhaiQgVerc/ojDMztrLDd1TD1h52E4PudQsxVKDni27I0NXZGHQT3DNBOqBZ8jsz63PlzBUiyqlvQNH9Zj9qq3llsvqGrM7mMKO48aGEZOb+2v6Ic8xXOLNznuG/b6HjbYBD/Q2Lo64ZzVPn6WESYivwjyf5O/d2kGYajR7NiEYYnvu95n/VSd2ZbAj8iFEDJhoRMoNNsa9bZJve0yU1M4d32XTgRVT+GqTQ7fc21IogacWkypN1P8QOXRHRp/c4dHGtV491UKitbg+f0hh0+alG0LP404tqwyVs1oRz67DnhcffEYV11zw9Lo1NX/I460j1mm9+8JsX9fgAPYjg2q+emJ1Rf/yPjUtp+/9ppLoh2HpNHPsTmFZ15xKDsaF29KUfQ6//i0zdYZj5suS9CMkGOzBiVPZbScMTHS5NGdGY26xznTgnIhY7TcYd9phcVlm7ECVAoK5YIMG1VVCUJNlXYLptHhtkctFpaLrCln1LwMMtFn0UEO8lxLaOoJuhZy4IRg7xEbQx/YSAyU99mAVcjZynix0is8k5zuLasz1s908ZNUgjUPn0pzMpeqZH2h9GLd4dR8iarn8l3X1ekmMd1QIUmzfDEkaHVgsaGwWDdYWHYZKZhsnPRZaKQsNxP2HjOpOgWuOb/FyXrKQj1huaUxPaIRJCH3PyfYfXCUN1ymEtDhhX3QaFlctTlhZjRhcRm2TEes3nBJtG3z1p+/+fUX/kippH7a86x/ChS+I49/d4ADuLaR2sqJO3/+x2/+yw3rt/70W2+6KpltWul8XWXnwQIF20Y12nzyXgu/XeGmSzNWTy3z2M6MU3MOUzWVyZGIVNR54PkCU2WV8arK1EjA0Xmfx3c6FA2N8TKMVjSmxzRcJ2OpERNGsrI6dsyx+ZCvPV9mxFZZNyY4f4PG1GTCYjcliGTVVPIxoHSQCqm3Q+55ykKohnQl7FkZwxANtvfIVnLGRZ/63TfWB4hijXe8rsN4wacVCMI469umKQJMI6VUbHH0TIftew0On/RYbpa56cKMVWNtGoG8cAxdUC2mtLshx2cTziyqnFm06PgFrtkWMzXR5uRiypmFjNPzHjdfBKgdTi2mnJxTmKqaXHm+z4H5Ll9/TuBoJd7/5ogobdFs6mxdo1P1UjatztK1G69JNp1z7k9bY+/4yxd2zd0phP0dX+J8O4//EAAHqIxso7u0HJ67afLTG9evOffN1278zXVrS4SR4Ipz2zy7xycLXW68NKZWXSKjRceHqmsyPS5YO1Xna8+rLC85TNU0psYyxmoN7n1e8PSOIqsqglpJZaSsyShEs8Gu4zFBIG3bPDvk9kdMZucdpsqCqVGdS7fAe9/QwClGNLvS9VVy0jPsvOI/ugse3l0BTacbC/yhnjnLq+hAfyleZcrZs1zT1AxDizH0hCAyeN3mjKvPW6IVJ3QCQRTnFVxAwUlYaod89kHB87tTjs/qnF7wmKhYfNf1LZq+vPPYhsLWdU18Ghw8GTK/lDK7pHNyrsjVW01uvrzF6XrMyfmEE3MGIwWXmy7tcGg25sRsylLdwbMUFC1kttXh/ufBEAVet63F07tjlBQcr0JmbvvN0fE158as/vTS3FJ42YVb/73h1H/8hwE4gFPdijDWdGdKx/e+7Z2rP1itbv6dt1x3TrLcSclilxsugkxp8sCzNg88V2T/EZvNq1TWTwcsddo8+HyB8aLK9KjK9GiXHUcCHt1eYNO4waoxNafCwlilS9lr4gfy1q8qGZbpE2U6FUthpKgwWlYZq8bUSiGKIpctAkl8soyUghPy8pGI3/7UGJYosqYWo5tdlroZfpQfIvNDYY//DQyqdq9yq/KCsYyEgtshiDucmLMIgxq/8cMdtq5vUfcFYSQvGlJQlZQ0S5hvCubqCXNLGfPLBq22iy4EfhQTpwJFlcEAy92I2XpC209odwVHThkcODbC689T2bqxzcnFmBOzGbOLHjddKPCKXQ6ejtlzVGfLjMqbLoy5+WJBrPo8+JxGEpUYG4VE35act/nc3/mbr5/3wQeeXtx77RVT3euv+tdR4vxrPf5DAbz3mNj4Pv7x3iB517v+02+97vr3f6g49s7g6osm2LimwSM7DCoFncOnFcZKBc7fmLB2apkndws6bYupEY1VEymq1uILj2gEHZcrtqqcsyal7cvUAtMIIQ2xdTnpKLkJx+ZTjp02KNkKlYJKpQhFJyROIuKkB0aR87MTDKPLnU/pREGRS1YJ/p83Jvzcu5bQTZ+ljsjHfznIM/EqKzjJFhSoqjzkFr0AP+7wF3e4fPLuCXYdHMdUSrzrymU6SYofyUOjXPwoOVc8otHNWGomLNZVGm2bNWOCqbGAelceTsNIw9YCokRK7gpuwN5jIU/tsnD1Et99fZsoCzg6m3Bi1sCzXK48V1bxnQdiTs+VWD2RsdxQuWZrzMFZn5MLY/zo97wh+H9/8gc/9L3ved9v/e77l5Nf+9l/u+XNP+XxHxLgAG9+y3s4Nddgcsz6te9+501/8s53vvOhw0tTj2yYqsWO0ySJdS7fElP0OpxcDHnypQIVW2N6VGW86vPKsYDDJ1y2rdbYujZhenwRP4yAjMVmxucfdCjZMuO+5AYcOCk4dsqk5AgqBZVqKUHXA77+vMqxUxquKfMzDT3DMSPitMtjLxeYLimsnVCYGnW5bpvKhee06UbycJgk2VmCBjE4fObpbZoKpp5iGiEvHFR4/KUiJ07rHDxpcWaxzNVbM1QtoB2I3Kdbjv3WjsMNl3YJ0lQCvAH1lsGacY31UyGNdoIfZDTbGu+9wadYkAQuywo5vtzilSMxLx/0pHJqXZu5esSJ2Yx60+WaczUmRjo0/Jhn9wgyLE7Xu8TpeHzTFeVH3vjmWx7asPXmPzk5a/9alizzjne8+98bLt/w8R8W4ACTo0WEKGDZxV85eeLYDddfdt3b33TDBbeVa+vSqTGHQ2cCXtwv+Mx9RU7PmUzUNKbHMhS1y4Mv6owWbDZMqVTLIdsPZkSxQsHOMIyQesehYAuKHgg1YMchBZFpjJVVKiXBSCmkXGzTDgRZomHqMg3MNDI8N+KJV6DbtRgtCIquSpoJZkYyrr0gQNVyz/FUVvAsFWefLfPeWz4tIyFOYh57UefUrI4iUupNwfyyhWeaXLmtRd2nH6oahgqqouOaMQutjIWGBPmZRQORWlywPiAmod7OaLQ1HNOiE0OrA4aqcOGGLgvNiAMnFOaXqrz+gpAoizk5H3NyTmOqavCDN6ds2xAzOdKi2ba56Ny1aWns4tvWrX/j20+cPHXDSK30K+esLyDU8r83TL7p4998k/nPfVxw2btpLOxqrjPP+ZmZ6TX770hfPK/VXLylsbSf8ZLO8ohg/YxUnQgR0Wi6bJ5WcV0w9IjDpx0UxaBaitm+P8HRVEqeQrWYEMQBe49ZWKrOWFVlvJowNdrg2HyX7QcruJaSZ9IIDD2l6PocPG2QBDolF1xbYBkJQgjSOCNOUuJU7dswv7ZFhJyVq7mxkK4lqJpU+4RRSrubUW9qGKss1k74PP58Ks19YpmP2fZ1LlofMj3R5PhCmbFyzOyCSbjK5pyZDoYRstQ0WW5pBIHNJZuanDxuk8QqM+M63QRanZC9Rw3Wr/aIhaDghhw6JekOJ+c0ukHI+ZvWUi6VvuSNXbVzenrqT33fb56/ecO/Nxy+7cf/3wAcoFjbBjB/6PDJ33jzGy9eY/EE23eO3rJ33yskcRtVDzn2/2vvzH7juu47/rnb3Dv7zuE6JCVSpBZqs01JXuQtaoCqSZraqIsieWybBHlogQQogjzkISjSoEifUqAtWqANUKCtizRGYiC2E8Cy41QOJMuUZEkktVDkUBzOvt196cOVYiOAHwK4oaX08x/MOd975vzO75zvd1tFVETmRkXGhxw26hJH5mxG0xKOLVLM9vj+2QhxWSKXkihkDK6s+1TrClN5iaGcwO7xLrV+j7/+twRnl1R2Dwe/FKMW8ekbDpW6RC4ROmwlYwJxzUOWfdy7Udauz/unKB/CPcfae00jWQ5fCulWQF/36eoSrW6UcqFPIu5g2u9/NK4X8ORBk6//cYNvfk9m9U6CQtqjUtMoj0nMTZncWovT7IBpRTkyO+DCey71toItKIDHWMllbVvGF+LMjemMlaKsb+ssrYrYQZyjhw+QKc3/9+mnDv15vdldK5ZGd1oCvzYf6y3KhzE9Ncp0ubo2Up796iNHDj537NHnzpx66hiWG6eYsdmohv7fxVwXTXF5+5pCpSYzOeyz3TWpNTTKRZliDvJpnb4FrqsynJUol2zq/R7f/X6GhFLgy3/gkErZWE4o8Kjqs9mAX1yOkolBOiGRS/sM5QZENYd8wkNWPFwvFOIHGz7v5zPwy/SGsNHkY7sezZ5Mz5LY6gS0ei7tHnT6Ksf3BhTyHoYd7usjSkCj7/Gd/ywy6I3ypc84pLM6t2se1aaIJGhoKtR7LrWWx+2tKMNplXzWYK0qMJ4POD6vYzkKja5Joy0wUYD1LZ+R4RSjkyd44bO/f2Zi8shz8/v2fPVapXdfihvusxX8gwjCFMCqbgWrhwtcunPTHsnk5/++tn1p5mdn35EmSyY37ggMZQRapogfRBku2Lx1WSQmRZmZkBnOuyQTOumYSz4hUswKlIc7/PMrEp1mktPHJcoTA84te3h+uF9WZA9HCECIhAVpSmCsOMDxOrzxbpwDU3eLvIZ6t+t519tQCm/u+UEQXqC66y8IIMseq3cEllaznFxwaPVsKg2NkXzo8FryNHw/LDD9IPwgTDvgzFKGO8Ukpx8zOH2iyb/+SKXWkmh2VAa6Q9/02G67rKxHyKbSPHqgzYUrHgQqcgSqrTC490bF4cBujWOPHPIOHzq0urJu/9mRo0/cAZaFD80ivz+4bwV+j5gqACxvV9vLsZT3STWqjH1+ZvHF5Suvpa5VGvH90zVu13QG3SiGo1OpRjm+X6SYtenqFq/9QsEnzPMsD9tcrbisbyY5OiOTTYUWbZIoosh3j/XEAElxSEXD/KBSzkfVBrz4pkqnVeSFZ/tIgQ6BjySFZj1RNUx/E4XQItpywxt/YeqBFD6awCOvRXjuRMC2bvPDNyWqLYVOX6KnqziOi3i3aLUdEVGVEEWBVtfnnWtR9u6KM1M2ub2tcdiQkGWNZx82cO2Aaivg55cUDs9FuawZrG1pbDYs1jYs/ugTOTKFkcHvnnqmG/jm8+XxPZX5GXntfhf2Pe57gd9jqJTBsoO14nBu3TQ6+xXp1PGFBeEfM5G33cHZi7kZh+T5FZlCQmGm3OTy9TizZZ1OPYYguWQTAppm8vpFicmiSjTucHsbDmZ8igmBmCiFj4P9gLjiklIhkxDJZxxuVS3OvRdn72jol+J5IMvhjcVU3COdMPBxcFwZWZLwhYCWDsWBj26Cc9dQJxYB141wYt7j0nWDRlel0w8dYD3HQFTCf5HOQEL3VTxPYGLCRrdsNrbinNjX5Mx5h1ZPRJEVIoJGdWAzN+axdN1gvBjh4T0DrtxKMJQv9SYm9zaPPb4gKwp/MjS8639ymWQH8B8UccMDJHAIowEBv9XYbpVKEz92rO6egvAd6+jxl77Sq7/1eZQVJyp781c3BE0UXd64pDGeA9PxKKRBUw3qzSjH5gIGzoBWJ8F206eUgpjmsdUM6OkCN2sKsiCQSwnEowavLUnUOhqHpzyCQECSFBKaSD4tMFow2O4OePWdKJOlGJOFCE/u77F0XWazFaXU9unpCh4RBMLHB4WUzEPzJi+/4dLsRHA9mYVdNrW6wEjRptoSiJkyY1mTXDJBQw9YrQg8tC9K33VpdDSGUiaWEeHEXos7tTiLCzFu1VLmyEjp6q65WeWF04vfm5z6wt987tP/oOZzKVPvG34+m9rpKfzIeaAEfo9sfgjCOk7f2FhDjsjfliTx248tLkipROLvblaMPdbg1uMX3tuSXNdhpSKxOGtxftUnIslEIi7nrgccnIJLaxqCGGH3RI93r4VRhf/+0wSSJ5FO+Ww2LbZrGqcXDVxHwg8CVDVCTFPYNWqiqQN+sqRx5UackbRLTJY4tscnrjq8clbl1pZNva0gqzECUcQLXF4+q1IuBYwUTdp9DUUU+cOnbb77H6H/4fKmw8EpkflJgWpd4sAek7cvKniuwpFdbW5vSTxxVODqmoLpZ4nnSt7Bg9NvNgbRZcvsf6nfd7xYLEpl45+CsfFJfafn6/+SB1LgH2R8fBLeP4p2fbf5p5NzarZZr/9Vz3gtEjirXj6fPjqUtR966a0KBGEHs9qKkT9k4vg2AhrNvk8qIZCID8hnXOx+WOy9eVmhlFZZmDY5dy0gptqUkiKJiIAnGrx6TsQ2BRKqheMqRGQBw/ZJRAKeecjh6i2HrUYcLaExsEOT/fMrGqoi8/iBNheuehiWyEAX6VgO3b5MLumw3YriiwrVtsOTcZlGz6E/ENk/o3CtMkLTiJzrufr5A5O7pBOPPm1rsdzXXNdujQ+HDlJf+eJOz8xvhgde4L+KKOcAWsAXAdZWXkcWxZM3tnq/88Knys8bPXkun+yw7+YGlj/gesVncb7HykbARNHhxqbLib0Wby+FpyJuoKJEJBBCF9j1mofvioyNwe26xNmrUT73TIv1JOhWhJgKl24pbFQlnn8KugOfSg32pQWmh/pYThIBH9uWUOUIAaHFw8+Xo8xM6Gw1ExSzPivrFicPO3hOhGZ/iEcemWVyTEONudemZvMvbjezr4xNBmee//QTOz3kO8pvncB/lcnZJwHOBEHlDPBGuy3tbjYafj77A79Qmpg+VSr+ZeCsMBNVkP111tYVhosOumnTHoS5kIrsoSo2maTKhRtRTFcirvlY+JQyJum4RC8R0NUFFDmg2VNo9qHRMXEcH9fxiIgiC9MelUaAZTnYjojvh/7kvmfRasmMZwR8JcLMrjKprMfe/dPI8fq3ZLFz87OfeFxMxHNivSdeB3781MnCTg/tx4IHp1z+iOm2GyiKmum0N0/+9OxFbEdykkn5L7JR8ZRu+7TaUN88z8XbXco5j4f3tKnUkqxVfQTfQxRcpscsGm2bXDJGveNiOjHa3YC+J1Fvw1DapNEOmB6OgCARj4s0ulE2GzpHZhSGswatwRiffPoQHSPAthWyKedV3zX/dmD6SqqwSHl87IxlWe3R4cxOD9nHkt/6FfzDSGXyAG3gJYCfvVsngKvlvFXq6qI/I9i83l5GkgwURUCJyKiK68zMPvaNYrL3e92+7pTyUCw5SJJGMu/j+goDA0xfpG+EK/+4AYWsgOuqysHZ2A//5b/OfUORZUWWZBRFJplMMjKxwGxMoqOLYmmIKnBTECZ2eojuC/5/Bf8I+cHLbwFCKR+vpHV9ECTiEobposgKhuXj+QqGFWAHIroZPj3TDYGoFiCJmvDsYqnj+0F1ZOqxnf4pDwz/C0BcY7pzmBFxAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjQ5OjAxKzAwOjAwbldEfgAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODo0OTowMSswMDowMB8K/MIAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 15501000
    {'hecke_orbit_code': 369098788, 'n': 1, 'trace_an': 1}
  • id: 15501001
    {'hecke_orbit_code': 369098788, 'n': 2, 'trace_an': 0}
  • id: 15501002
    {'hecke_orbit_code': 369098788, 'n': 3, 'trace_an': 0}
  • id: 15501003
    {'hecke_orbit_code': 369098788, 'n': 4, 'trace_an': 0}
  • id: 15501004
    {'hecke_orbit_code': 369098788, 'n': 5, 'trace_an': 11268090}
  • id: 15501005
    {'hecke_orbit_code': 369098788, 'n': 6, 'trace_an': 0}
  • id: 15501006
    {'hecke_orbit_code': 369098788, 'n': 7, 'trace_an': 281914136}
  • id: 15501007
    {'hecke_orbit_code': 369098788, 'n': 8, 'trace_an': 0}
  • id: 15501008
    {'hecke_orbit_code': 369098788, 'n': 9, 'trace_an': 0}
  • id: 15501009
    {'hecke_orbit_code': 369098788, 'n': 10, 'trace_an': 0}
  • id: 15501010
    {'hecke_orbit_code': 369098788, 'n': 11, 'trace_an': 36172082484}
  • id: 15501011
    {'hecke_orbit_code': 369098788, 'n': 12, 'trace_an': 0}
  • id: 15501012
    {'hecke_orbit_code': 369098788, 'n': 13, 'trace_an': -449098578370}
  • id: 15501013
    {'hecke_orbit_code': 369098788, 'n': 14, 'trace_an': 0}
  • id: 15501014
    {'hecke_orbit_code': 369098788, 'n': 15, 'trace_an': 0}
  • id: 15501015
    {'hecke_orbit_code': 369098788, 'n': 16, 'trace_an': 0}
  • id: 15501016
    {'hecke_orbit_code': 369098788, 'n': 17, 'trace_an': -2121858786546}
  • id: 15501017
    {'hecke_orbit_code': 369098788, 'n': 18, 'trace_an': 0}
  • id: 15501018
    {'hecke_orbit_code': 369098788, 'n': 19, 'trace_an': -4609406233900}
  • id: 15501019
    {'hecke_orbit_code': 369098788, 'n': 20, 'trace_an': 0}
  • id: 15501020
    {'hecke_orbit_code': 369098788, 'n': 21, 'trace_an': 0}
  • id: 15501021
    {'hecke_orbit_code': 369098788, 'n': 22, 'trace_an': 0}
  • id: 15501022
    {'hecke_orbit_code': 369098788, 'n': 23, 'trace_an': -95095276921656}
  • id: 15501023
    {'hecke_orbit_code': 369098788, 'n': 24, 'trace_an': 0}
  • id: 15501024
    {'hecke_orbit_code': 369098788, 'n': 25, 'trace_an': -349867305955025}
  • id: 15501025
    {'hecke_orbit_code': 369098788, 'n': 26, 'trace_an': 0}
  • id: 15501026
    {'hecke_orbit_code': 369098788, 'n': 27, 'trace_an': 0}
  • id: 15501027
    {'hecke_orbit_code': 369098788, 'n': 28, 'trace_an': 0}
  • id: 15501028
    {'hecke_orbit_code': 369098788, 'n': 29, 'trace_an': 2245742383351266}
  • id: 15501029
    {'hecke_orbit_code': 369098788, 'n': 30, 'trace_an': 0}
  • id: 15501030
    {'hecke_orbit_code': 369098788, 'n': 31, 'trace_an': -3155693201792656}
  • id: 15501031
    {'hecke_orbit_code': 369098788, 'n': 32, 'trace_an': 0}
  • id: 15501032
    {'hecke_orbit_code': 369098788, 'n': 33, 'trace_an': 0}
  • id: 15501033
    {'hecke_orbit_code': 369098788, 'n': 34, 'trace_an': 0}
  • id: 15501034
    {'hecke_orbit_code': 369098788, 'n': 35, 'trace_an': 3176633856720240}
  • id: 15501035
    {'hecke_orbit_code': 369098788, 'n': 36, 'trace_an': 0}
  • id: 15501036
    {'hecke_orbit_code': 369098788, 'n': 37, 'trace_an': -18178503074861482}
  • id: 15501037
    {'hecke_orbit_code': 369098788, 'n': 38, 'trace_an': 0}
  • id: 15501038
    {'hecke_orbit_code': 369098788, 'n': 39, 'trace_an': 0}
  • id: 15501039
    {'hecke_orbit_code': 369098788, 'n': 40, 'trace_an': 0}
  • id: 15501040
    {'hecke_orbit_code': 369098788, 'n': 41, 'trace_an': 169649739387485910}
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