Embedded newform data - 1232.4.a.s.1.2

Formats: - HTML - YAML - JSON - 2024-04-19T17:05:02.267493

• 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': 19712, 'analytic_conductor': 72.69035312707244, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, -1], [11, -1]], 'atkin_lehner_string': '---', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1232, 1, [463, 309, 353, 673], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 522072, 'field_disc_factorization': [[2, 3], [3, 3], [2417, 1]], 'field_poly': [1, 5, -12, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-1016, -436, 6, 14, 1]], [5, [-4016, 2648, -240, -10, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81064793359779024, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], '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': '1232.4.a.s', 'level': 1232, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 11], 'level_radical': 154, 'minimal_twist': '77.4.a.d', 'nf_label': '4.4.522072.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-4-\\beta _{2})q^{3}+(4-\\beta _{1}+2\\beta _{2})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1232.4.a', 'trace_display': [0, -14, 10, 28], 'trace_hash': 1800004321235042400, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.866', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '40.564', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '632.212', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [4, 0, -14, 0, 10, 0, 28, 0, 76, 0, 44, 0, 58, 0, -284, 0, 4, 0, -258, 0, -98, 0, -8, 0, 80, 0, -428, 0, -396, 0, 56, 0, -154, 0, 70, 0, 84, 0, 412, 0, 52, 0, -408, 0, 826, 0, -8, 0, 196, 0, 388, 0, 624, 0, 110, 0, 48, 0, 238, 0, -162, 0, 532, 0, -32, 0, -1340, 0, 2416, 0, -1788, 0, 1456, 0, 806, 0, 308, 0, 1324, 0, 1444, 0, -450, 0, -1736, 0, -588, 0, -3072, 0, 406, 0, -1264, 0, -24, 0, -652, 0, 836, 0, 14, 0, -3056, 0, -1988, 0, -348, 0, -3632, 0, 1572, 0, -636, 0, -4856, 0, -4958, 0, 28, 0, 484, 0, 1852, 0, -2244, 0, 304, 0, 144, 0, -4098, 0, -1806, 0, -872, 0, -3556, 0, -1462, 0, -5552, 0, 638, 0, 2988, 0, -686, 0, -5740, 0, -3188, 0, 1276, 0, 860, 0, 134, 0, -1020, 0, -56, 0, -5500, 0, -3124, 0, 9540, 0, 4428, 0, 174, 0, -4398, 0, 560, 0, 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0, -326992, 0, -612372, 0, 71444, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_cc •

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

  
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-0.12759634503599357, None, None, -0.10424039075953122, -0.36709664208198095, -0.4027767971771823, -0.3099751377472585, -0.277358109140193, -0.24561700584811305, -0.2532327339824373, -0.36188886783199203, -0.3893616369686659, -0.23652941903374855, -0.22435015781061415, -0.14964340337043222, -0.3114139505489632, -0.14090783047868752, -0.212635417653411, -0.3758368642913894, -0.22890044944006474, -0.23708105183233874, -0.3341511284524996, -0.1620932139827345, -0.15653859782487428, -0.326453543457051, -0.23962486235227046, -0.40412024380400546, -0.1661878000188019, -0.3154088812106486, -0.40483111084522105, -0.2919547236378269, -0.16167489902353965, -0.44935656485503994, -0.13419676611053144, -0.3149438990910161, -0.4061079321954244, -0.21382885916041836, -0.2908097886120184, -0.2586181698926068, -0.3217326793327587, -0.3432150001635495, -0.12643619367869424, -0.20303185989071718, -0.33524801086780043, -0.27140653441218404, -0.2526175512560153, -0.32285660831276675, -0.3033196798773753, 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-0.37779332676139316, -0.24930379115637055, -0.20810984318230913, -0.06941500730535964, -0.41010698078776064, -0.37621992046645275, -0.20434062856593635, -0.24415306415324198, -0.26908879684597153, -0.3409318976713927, -0.31131858557920594, -0.31580634191197965, -0.3250533033464042, -0.20966431437662073, -0.3551445791725601, -0.1201522369719606, -0.3077850265509238, -0.31350749645363224, -0.2636551810071592, -0.23652352152573738, -0.3906437238823034, -0.32779257576283943, -0.22299913726648235], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -3.203172882197061, 'hecke_orbit': 19, 'hecke_orbit_code': 81064793359779024, 'label': '1232.4.a.s.1.2', 'level': 1232, 'weight': 4}
• mf_newspaces •

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

  
  {'AL_dims': [[[[2, 1], [7, -1], [11, 1]], 9, 4], [[[2, -1], [7, -1], [11, -1]], 10, 4], [[[2, 1], [7, 1], [11, 1]], 11, 2], [[[2, 1], [7, -1], [11, -1]], 14, 3], [[[2, -1], [7, -1], [11, 1]], 12, 4], [[[2, -1], [7, 1], [11, 1]], 10, 5], [[[2, 1], [7, 1], [11, -1]], 12, 2], [[[2, -1], [7, 1], [11, -1]], 12, 6]], 'ALdims': [11, 12, 9, 14, 10, 12, 12, 10], 'Nk2': 19712, 'analytic_conductor': 72.69035312707244, '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': [1232, 1, [463, 309, 353, 673], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 564, 'dim': 90, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 67110096, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 6, 6, 7, 7], 'label': '1232.4.a', 'level': 1232, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 11], 'level_radical': 154, 'mf_dim': 588, 'mf_new_dim': 90, 'num_forms': 30, 'plus_dim': 49, 'prim_orbit_index': 1, 'relative_dim': 90, 'sturm_bound': 768, 'trace_bound': 5, 'trace_display': [0, 0, -4, 0], 'traces': [90, 0, 0, 0, -4, 0, 0, 0, 810, 0, 66, 0, 92, 0, -132, 0, 52, 0, -48, 0, 0, 0, -276, 0, 2206, 0, -708, 0, 284, 0, 528, 0, 0, 0, 0, 0, -660, 0, 600, 0, -236, 0, 0, 0, -180, 0, -1164, 0, 4410, 0, 1488, 0, 572, 0, 0, 0, -848, 0, 2040, 0, 2604, 0, 0, 0, 232, 0, 804, 0, 1056, 0, -668, 0, 740, 0, -5476, 0, 0, 0, 2832, 0, 7594, 0, 456, 0, 2696, 0, 2768, 0, -900, 0, 1092, 0, 4272, 0, 1896, 0, -1396, 0, 1782, 0, 1180, 0, 2148, 0, 1456, 0, 3104, 0, -4244, 0, -3468, 0, -1764, 0, 6396, 0, 4956, 0, -2380, 0, 10890, 0, 2368, 0, 936, 0, -408, 0, 0, 0, -3000, 0, 0, 0, -708, 0, 2076, 0, -7872, 0, -8496, 0, 0, 0, -760, 0, 0, 0, -1380, 0, -5568, 0, 2340, 0, -476, 0, 4604, 0, 20400, 0, 0, 0, -1392, 0, 0, 0, 7848, 0, 15190, 0, 21368, 0, 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• mf_twists_cc •

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

  
  
  • id: 48219570
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779024, 'source_is_minimal': False, 'source_label': '1232.4.a.s.1.2', 'source_level': 1232, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 81064793359779024, 'target_is_minimal': False, 'target_label': '1232.4.a.s.1.2', 'target_level': 1232, 'twist_class_label': '77.4.a.d.1.1', 'twist_class_level': 77, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48219571
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779024, 'source_is_minimal': False, 'source_label': '1232.4.a.s.1.2', 'source_level': 1232, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949220429, 'target_is_minimal': True, 'target_label': '77.4.a.d.1.1', 'target_level': 77, 'twist_class_label': '77.4.a.d.1.1', 'twist_class_level': 77, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48219572
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779024, 'source_is_minimal': False, 'source_label': '1232.4.a.s.1.2', 'source_level': 1232, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49539595968185013, 'target_is_minimal': False, 'target_label': '693.4.a.l.1.4', 'target_level': 693, 'twist_class_label': '77.4.a.d.1.1', 'twist_class_level': 77, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48219573
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779024, 'source_is_minimal': False, 'source_label': '1232.4.a.s.1.2', 'source_level': 1232, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 67553994477668229, 'target_is_minimal': False, 'target_label': '1925.4.a.p.1.4', 'target_level': 1925, 'twist_class_label': '77.4.a.d.1.1', 'twist_class_level': 77, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 48219574
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779024, 'source_is_minimal': False, 'source_label': '1232.4.a.s.1.2', 'source_level': 1232, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831332379, 'target_is_minimal': False, 'target_label': '539.4.a.g.1.1', 'target_level': 539, 'twist_class_label': '77.4.a.d.1.1', 'twist_class_level': 77, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 48219575
    {'conductor': 44, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 81064793359779024, 'source_is_minimal': False, 'source_label': '1232.4.a.s.1.2', 'source_level': 1232, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13510798949221199, 'target_is_minimal': False, 'target_label': '847.4.a.d.1.4', 'target_level': 847, 'twist_class_label': '77.4.a.d.1.1', 'twist_class_level': 77, 'twisting_char_label': '44.43', 'twisting_conrey_index': 43, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1791075
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 81064793359779024, 'p': 2}
  • id: 1791076
    {'charpoly_factorization': [[[-1016, -436, 6, 14, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 3}
  • id: 1791077
    {'charpoly_factorization': [[[-4016, 2648, -240, -10, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 5}
  • id: 1791078
    {'charpoly_factorization': [[[-7, 1], 4]], 'hecke_orbit_code': 81064793359779024, 'p': 7}
  • id: 1791079
    {'charpoly_factorization': [[[-11, 1], 4]], 'hecke_orbit_code': 81064793359779024, 'p': 11}
  • id: 1791080
    {'charpoly_factorization': [[[-4947656, 342428, -4926, -58, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 13}
  • id: 1791081
    {'charpoly_factorization': [[[-2705024, 257456, -6186, -4, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 17}
  • id: 1791082
    {'charpoly_factorization': [[[-14423904, -161712, 16188, 258, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 19}
  • id: 1791083
    {'charpoly_factorization': [[[-17449856, -1550464, -22392, 8, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 23}
  • id: 1791084
    {'charpoly_factorization': [[[22336464, 1623888, 40872, 396, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 29}
  • id: 1791085
    {'charpoly_factorization': [[[-11250248, 1490896, -31890, -56, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 31}
  • id: 1791086
    {'charpoly_factorization': [[[11157312, 647520, -63516, -84, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 37}
  • id: 1791087
    {'charpoly_factorization': [[[-659233664, 14752640, -83706, -52, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 41}
  • id: 1791088
    {'charpoly_factorization': [[[1210397376, -31826832, -90804, 408, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 43}
  • id: 1791089
    {'charpoly_factorization': [[[-318931592, 12296144, -121650, 8, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 47}
  • id: 1791090
    {'charpoly_factorization': [[[403923072, -12426816, 135948, -624, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 53}
  • id: 1791091
    {'charpoly_factorization': [[[17599820728, 150381524, -501426, -238, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 59}
  • id: 1791092
    {'charpoly_factorization': [[[6668930664, -166886028, -587718, 162, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 61}
  • id: 1791093
    {'charpoly_factorization': [[[-140865466496, -658322080, -172104, 1340, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 67}
  • id: 1791094
    {'charpoly_factorization': [[[-72982082688, -109888032, 761784, 1788, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 71}
  • id: 1791095
    {'charpoly_factorization': [[[-322052228384, 1133869160, -388842, -1456, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 73}
  • id: 1791096
    {'charpoly_factorization': [[[-59537293568, 346623968, 71820, -1324, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 79}
  • id: 1791097
    {'charpoly_factorization': [[[21951092064, -140617200, -383316, 450, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 83}
  • id: 1791098
    {'charpoly_factorization': [[[-109303561968, 704256000, 2868408, 3072, 1], 1]], 'hecke_orbit_code': 81064793359779024, 'p': 89}
  • id: 1791099
    {'charpoly_factorization': [[[868634650768, -628130672, -1896360, 652, 1], 1]], 'hecke_orbit_code': 81064793359779024, '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': 19, 'label': '1232.4.a.s', 'level': 1232, 'portrait': 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ekJ1o9pllqa03OKiuuxfhI2z4SsmxowOxWwfipg8zrD1vWKK7e4VFWdE6ebPP6ix7OHY/adikhUh2+9u8Xb7zJU1RSHT41z4rzDufmEiym4jy4abrl6gX/7/StsmR7j/Pw48ytVlloOy21Jq5vQ6iastDXPHlhivjt/5ZtvPvTKJ/eHl33mMf2l7/ze7wz//ON/9I2GxF/p8beawZeWW5xrGZo+v3r+7IG7tngfkH94X+uu1sqc86PfVqHVWceFhTqLq356cWC5lbDcilhaTbi4CseWBDPTq/zSDyxx664aZ+YmOT9f5/yiw9yS4eJizNmFhPlOzPjkgFdc2+X2PeDJKr7ymVuucGHR4eKyoBdAHGsqnqZeSZgYi9HAqYsx7S5sW+dSrwYYI0B4dPuaresDllYdMFaKrHYhiMFgWG6FbJp16fQVQhmEDmhWXLZuGLDaE5w675Boh6mmpFER+C7EsaAXSC4uSy4sGeZWYnx/AG7MHVd1uetqwUyzytJKkzNzPucXYW4xZm455twyHFsy3HzVIr/8AyusH29y+uIkF5eqLKx4LLYky6sJq52IlXbCcltzelkxNwj4ibceZ2xsXXzvI5se/fB73663X7b7UUT083FYx/X/9mZH/9Yy+J/86ae49ZYb+IWf/+e/8r6Pff2f/af/fu/lc4tnL+v0VuXrbwvZsw3CwENrhUFiEGAkIAGBEAZHGDwJ55eqPHlUcu3OZfZsGVCrgOtIPFfheQ71qqTmSnpdl0MnK9z/rMep+YB2HHHoTMC6qWXe+ooVrr28w817WpxcjFnsCWr+gOPnDa12nWt2SFYHCQdOKho1h/2n4IqNhkGYMEg8HCdiogEHz/goJ8GVMY4L/UBy654e/Z7k2ssT2v2EU+cbbF+vqNdCVgPD7HiPlW6bP/kaPH8iYd+JAds2LnHd7jYTkyFvuaPD33uVYef6Bkk0zolzYxw763LmoubsfMTZ+YRj84LTqxHX71rgl36gw7rxcc5cnGRuqcbCqsdSS7LSSmh1IlY7Catdw1JXMNeXLK+EuLLPjnULcsemzmXXbn5hO5G5zagrq5Xa5Fce+vqf84EP/uE3GjKXfPytZPAnH/k0t961UX3sY8f+70PHLvzrB548oQ5dCFkdQBxF7NmxxH/8B0vcuLPGhaUJllbrLLcqLLdcltsOKx1YaSWstGOWOzGLLTizInCqA+68epnvelXI9tk6q90m88tVFpY9FluC5ZaVCCsdTbuvaQeG3iBmqhmxdZ0GBL5rODvvIqTPtlnF9o2GjbM95lYC9h5pcNMVhlp1hRePTtKoh4Shy9SEpj+AK7cO+MOvjbN7S0wQGKbHJFHSp1Hx2X9yQNWtc8OumH3HQ+aWPDZN+WzfAFvXhygVcXYRPNcghGHbupiJhqTT9+n2XNo9l+W2YnkVllqa5VbCYivhYguWBglbN3X5rlcvcuceh4rb5MJik8WVCourDkttwWpLW+bOwN2BCx3F3GrMbXsu8N6fXOCqbS69oMZKq87F5Vn6ek+Cu/5XvvLcxC/fsLOd/MD3veMbDZ01j79VAL949gDNerX69L7TW5cXDr7rwsWFf/fks2eZX9EstGGhK5nrCZZ7ETfvnOM//OQS1+2oMb8yztJqnZV2heW2y0rbYaUNrY5mtROz0olZbhvmWoLzXQOiy9vvbvGWWzU7NlQIwxorrQqrXY9WR7HSFXR6gkFgCGNDkoCSBt+Fqm8YbxpmJyMcd8CxCyEvHPXRcZ033RbiuKs8c2CMyzbAF56Mufsan/lWn4qjiJOIyQmIIxfHjVlaqvGKG9t84bEG2zfA00cCXGq88VZNLPq8cCzhxNkKjvRYN+EwURdUfYHnCZSAWEMYGQYhdHqG1a6m09Os9jRLXUM/Sdi2ucdbbm/x9rtC0A2WVseYX66ylJFBC1Y7Ca1unDP3cteCe6Edc/OuOd77k/Ncc1mF5XaTVqfOUqvK/HKFUxckgVnH7OzUv7n91mv+FHfb6STp92++ftc3Gkr5428NwJ95/gBOZcZLekd+6NjRo7/1/N4XRNWL5IUFw+JqxHJbs9KF1b5gvi+Z64TcesUC7/mxJW68vMLiagZyn9WOx0rHYbUjaHUMrW7Caiem1dWsdA3zHcGFlmZivMfrb+5wx56YbesUzapLu1PBdyWgCGOJ1gJtoDcAhGaiMeDIOYM2Ifc9XSfoVbl8k8ed1/aI9CoPPjvODVe4HLnYpbXS5PZre3zlGZ91k4YDpwz/6G1tDpz0WTcpuf9ZxZ1XKpZ7bY6fmeSGXSEPvtAnDmrccZXHzi0D+nGXLz+jIBEcO+vQrDk4Anp9G1Qn2hDFgNQ4nqbVNdQbEVs2BNx1ZY/X3xQzVa8wtzzG0mqVlbY9NyttQasLrU5MqxvbwLJnWO5JLnYEi52Y23bP8ys/tsh1O3wWV8dodWq0OhVWOj5LLZe5Jcm5+YhN61x9xZXXm8t3Xv5TN9xw+QdXFhbDydkrv9GQAv6WADyMIjnoD97655+/9/JWp//ewweediteBYOgP0hod2PavYRWT9PpixzkF1oxd1w5z6/+2AI37fRYbY+xsNKg1a2w2vFY7Tq0OopWDzpdQ7sX0+4mdPuaVs+w0BUsdCFKAq67os/6yYRuz/Dm2wMuW6+JE4kjDWEED+ytcHq+woaJmBePVUDX2LNZceNujV/p8cyRHguLda6+rE5zfIXH9rncckWFpd4qKytN1q83PHlA8X2v6fLUAYfNsy6L3RYry5PceGWPx15MmKyOc/XlXeZbLZ58aZyqU+fm3YZdWwcgu+w9IZidjJhbiHhwr8sgUkgJiTZctiHk9beHdLqKjROaG6+AMKyx3Kqx3PJZ7bq0e4pWV9LuQruX0O4mdHoJ7Z5mtWdY7kvOtQWtfsCduxb45R9d4eYr7M3R7lZpd31aPY9Wx2W1o1jtCnoDG3j7Xo9X3317FMa1f/nKV7/paKVa/ZzjuPobja1veCaz2+0TDIIfOHH02d9YvHh88ujJeYz2UVWJ1gZHCXxPkiQGbUCgEcKgpEFJh6cOr+Pn3+/wtjuX+e7XLLN9U8jFpSa+V6Xqe9R8l3rVoVOVNPouY3WH3iCh209YF2j6gaEz8FleqHD2jCGMNecuxvi+AQSeMjhS0OsrBC5xz+H6ywQ7Nxq2buoRJB2++JTi4NEJ3nCTz41XrvDhLxo8UeOyTT32PabYNK6YbvaoqCph5DLfgXrFYfM6wfMHQ27cVeVVNyzyoc/38dwGr7vN4Po9vvpkyBeeqPPSiSo7Nta4bEPCzETI9umIay5LUErjKAMYar7PzLhPGLl0eh4vHnHpDhx6fUV3IOn2oTswdHv2u3f6Cd2+od03rPZhoaeYWzHUxlr89JsW+I47A67bUefCYpNWt0qn59HuuXT7Dt2BZBAK4sSWSggpqHhVnnhqn4ua+g3hTi/ffdct/3TQ732oUq397wtwozsg9I+ePfrgrx576eFJpXtsXe8QRZJEQ6IFxligG2MwGAQCmQM8wZOSfUdmeO5wnSPn53nbXV3uumrAeKPJcqtGvV2h2ffo9hw66cXuDxx6gcMgMAxCTRgZosgQJ/YIYw+jQSqB6wgqnmC8IZhowPppzeZ1PaYnWnzpGXjoORepx3jDTS7X7+nwyEsR4aDJndcLWv0+80t17tilmR7vUXV8BrFioR2htOD6XQ61RsCzhyq88sYxbr+uw7OHFJgxbrrK40e+dZmvPB9y/1N1DpyusHVGsX6yykSjxlgDqj64jkFJ0AYOnBAkiSCKBWEMQYT9jkFCP9AMAk1voOkFmm4f2oGNa+Y7EOgBr71hmbfe1eJ7X6eJ4yYXF+u0uxU6fY9u36XbV3T6it5A0g+t/g8jTaINFwcQhAntzhleOvbFyQvL8f/zbW9+lbOw3H//zGT1fz+AHz05z9Ez0Y+4wf2/2pu/f3asqkmma3R6mn4AYSQIIoGUAiEUCIEQIKVASY1SBkcZXKWpuoLFXpWPfW0zX32uzd3XrPL9r13lmu1dpsZrLK3W6PR9en03BbayRygIIkkUC+LYLvW2dssGlY4DFQ9qVc1kI2LTbI+YLkfORfzJgxWOn6kz7le55SqHO65t8+ThFvc93uS2Kyps3dDjD78mUMKn2YhY7QZoA0rATLNHu+Oh4ypvvXuej32hxs65Cm+5rUcYLfHgC1NESYVbr5rlLbe0uWJLi68+22PfmRp7T3hsnpRMNgU1X+C59iaUAoSwq5zWhihOb9bIEET2Rh6E0A+hMxCsBILlDghnwA27V/n+169y91UJU80qK+0arU6VTs+nO7Csna0EvUDSH0AvMASBJowSwkgTxoZBoOkOBPPnV9n/kftnYxX96o+88zZjzPkPCLHxfw+A73viQ7zv3mnuve/hH3zmyMp7X3HFfdNvuH6VqfEZDApHeXiOoh9KnFDiKIEUAiEkSjpImaCkSJdnjasMvmOoOoKVgWKpNcHHH6jzxItd7rxule9/3So37GwxlVSJY5/eoEK379IPHMJIEcWSOJEkWqCNQGCQwuB7mlolxvdCPDfg3FLA55+WHD3rceLsBEr77NzgceV2xU172ih/gReONdg0XuPqHbB+ZoXldpNrNklibfjSUz5BTzJej3njrQM+92DE6YsNdl/ucmF1wP7jLlvWTXDd9gUe2dfhsf2CIPTYs32SPVt89mzucOzCMkfPwVMHaxw5XqfmCHxHUvcNFRektEGVMfZmjRMIYwgTQTcQtAeCdgShjtFmwM1XtPn+17e5+5qEDZM+g8EYS60Kna5Pd+DR6zt0ByotVhP0BpJBYPtGB2FCEGiCKCEIDYPQ0A80nQEsDxzOzK3wwr5PzA7uPvTeMwtbYxPw4cQzotvHjNf+14V+/0sB/k/f80GuvW2OHzHJ9z79/Nx/efyJ8+My7PH6GyLG6n2iWCEEKOngOA6OMjhKpoAWOEqlzxpHJbiOwHM0nmvwXUPNSxivCDqBy0p7gk8+1ORrewesm+jxrle32LNlwKDf5erthi3rFUHkkiSKREtMBm6pcZ2EU3OGExcFq33NZx+pcW5xAhO6TFQUG6cctq132LEJrt7ZRstF3ve5OsvLY9y2x+HqnS2+ulcgYpfZCUm9FtOLPKSRYCTK8WgNBHPLgqtMjVff1OHRZ6tsnPa47epJfvhbF/ngFzo8dahOd+CytNpg+8Yquzf0uHVXh3e8ssP55WU++4jPUs/n1AWXc+c8XCWQUiIQaGNINETakMSaiamIa6/qEQQRe7YEvPPVAbNjismGTxRVuLBQodf36AV2levnwJb0A0E/EAwC7EoQJAShJgg1gzBbHQy9AFoDwfJA4PsR26fO8+LeZPr+vYP/8KrwwL+5/WZ+xOjgof+VmPtfBvA//+wneOu3vU387Hs/+p0mOPz7V68/Utu0rsEXH3f4yW+J2TI7oB66GEMKchtEKmVQUtqyUSVwsmdH4DoJniPwXE3FNVQjQy00jFUSJqqCXijphHVOnK3znj+aBB0j4pibru2xfX1IHIM2GmNsEkcKgVQCx/U4dNrjwNEK9YpDw5NM1wQzU5LZSYeNM4ptGxJ2b1slEUv85qeanDo9zm27XPZcltCPOzz+gs941WVqzDDeCKlVrRTSWtIaKJa7hqVWQqtb5RVXr/L0gR4HTyvGmxVuvWqcH3vrEv/t0/Ds0TrdvmG14zC33GT9dI3ZiQHbpgb88+/s0ay12HcCDp2RuK5BKYMQGjD2fwbiGC5bn3DnNTFJ5BLFPsbUGIQuFxc9+oFd0QahyuVbPxQMAsEglPQDUpZOgR1oBpHOmXsQGQYBdAJBK5CsBoKdGwPe+ooe+470efzAgZlrrvzozOnqju07rv7hh//szz5h3vGOd/7dAfjvffh9PHliVenPfPDte6ZWP/zBz85XDk4MUHKFf/2Dfa7aoQkGHlV/kALcoKRrwa0UjlI4jsFVEtexmtNzFYErCUKNHyYEkaEaaYJIE4aGZgxBpAliCGPBIJIEiU+UVDh4tM7eg5AYg4W21cauBE/Zmo+GD1dvgGYVxuqSiYZiatxhdhK2rg/YMLNKZJb5zU+Ncez4GDfuUOzYLNm5eYWv74+ZWxrjpu2Siaam4vXxpY9RgjiRCGOIk5CVboW5JZcb91S5fleHR56tsG5CUKs0uHGX5qffvsR/+bRm/7kGq13NakexsOIwPV5nolllojlGsxYxU4/YdmOI78a4ToxSCVLYYMJgb6ooUswvOESxIooVYaQIovQ5lASRJAglg1AShMIGqKEgCI0FdWQZO8yAHZmUwWEQCXqhBfhKKBjohCMn4D0f8fiOe87zfW+sIvsxn/rSxPv+8I9/v//2t/Y/9dTjv5XcesdPffMDfO/T72OsUVcnzs29c3Hh1Idu2j5f2f7DmhMLXR7bb7hiZ0SlokEHVGOFrSMBKTOnxOAqg+soXMfghhLPFfYiuILAU4SRBXoUGcI4sa5IXDoSiBNDkujcndGaHNx2xQBHguuC7wgqvqDmS+o1xVhNMjEmmJ2M2ba+R6O+yqceDXnwhUlWF5tcu1WxbYPLFVsGJGKVLz1Vo+46zEwoGrUBLxyDl447XLPF0AsU110Rce1Ow8ULCQsrHv1BjTfd0uHhfX2OnFPUqxLfa3LNDs0v/+ASD+zv87kHpllqG7bNJqy0HMabirG6S6PmUq8aKr7G9zS+k+AoK7WktNfAGGzCSgtiLYkTQRwLolgSxoIokgSRdV7CSFh3JIQgCyBLxBFE2ZG6NJGwgWskWQkFq5HBxAPCIOboMYezV8FDL/icPDPGuYVjlXd/e/0jv/NHO/5+N9r0id94/0eSf/qj7/7mBviZ803ZHYTf/dSBxd+Juy9VKrcY1k3E9E4bHt5b49hpn2Ov7/Ku1w5oNiywhdAomdgg0knwHAc3cvAdxcC1TBO4ktATudtiA0YII2kdhLiw/eJEkyTWXUhM6pSkbokQAilBSSt7PMf67hVfUq8KmjXDeEOzbjJgZqJDbFb5+MOSD35hitlKhWu3CrZucLlso2bbhhU+9bhhebnCnvWKiSY0ahFzJyXzKz7edggiwcyYZHwcjpwwrLQ1FxcrXHFZhdfc1OHzD1WYaoDveSg5zjU7BT/+lnlcOc+fPzLBS+cqrGtHzI7HjNUVjaqiVpVUfQffA98Fx7EOkxQgRQnk2Bs70ZAk1se2QIcoMYQxRFFiSSF1RqIU4NZ2zFwZC+5+LBhEgk4kWI0EnUiT9AeM+W2+620rfPcbOmyY0Dx3LKQdLHPZVlDmcGVjk99HVhxtvD/G8sw3J8B//Xc+wwun9A8eOX7iP/zpfUvNXriNzz3doe7FvHTcoxcI9h9LeOpAlfMrK/yjd/QYb8T4ns2yOU6C67j2CBNC18ELrTQJI5tKt4wjLBOlrBTHECWQJNZJ0NoGXJmfnj2EsAC3gavAdSxAKj7UKppGNWa8ETMz3md6YpVHD4Z85L4qh06Mc9mYy871sHm9x+Z1sHtrm17c5skDTarKZWZCMd6A8UbAxFiM5zkIYW+ufuCx3I5Y7Rla3Zj5FY+t6xvcvmee+57qcehck5of4SoPIcbYuUnx7tctcvPueT5yX4MnXxxnqesw24wZr8XUKpJqReG7At+VuK6NVZQitQ8tyg02MaM1OdDjRKerW2otxpo4seCOIwhjUxyRdWUGKbB7kaATCzox9PsxJu4zVWvzD9+xxL/4vi6NmkQnivf8eI/9x0MqnmLHRsVq63Dz+Lz7m7t3X+tdPPaxD67f+d3ffADv9zooqX70v33gk7/63AtnpzaOSzqhz7m5CoPYoB2DdAzaJKyGIf/hYx4Hjq7y1ld2efUNHdZNh3Q6VfqBh+d6+J5LEDr4nrX3MoBHkSSM7bIbxamnnZBaf6TMLdGGAtw2SZkyNzjKJkw811DxNNVKTKMSM9EM2DDdZq7V47c+6/KlpydZXqlz+Yxg66xg06zH5lnB9o0DHG+Vjz3ocPxMnV3rJBMNyVg9QcqAcwsG35FIAcYIwshh22ybp0ho9xQrbcPccpVdmyu849UtPvFVj5NzPq4TIYSLNnWiWHLT9hW2fU+bLz3b4w+/NMkzJ+tsmhBM1xPqlYSKJ/BdgefaWMVR2MBZirwmw2BvMm2wTktiAZ+BPE6spLNghzCxtS5hljyKBf0YOrGkE0E/0iS9gM3TbV514yrf/qoub7k5wZNVWqseSeJgkOzZIglCh4sLFXoDF5lcnDo/d9V7r7j2bWpltfP+ifHGNw/AW60WCPXDX/rKQ7967PBLs7N1TVVBLRA0PEE/FgSxJNAwSBwG0qUV+Xzs6xUe2Nfhxj0dvud1Pb7lthbTYx69QYV+4OG7LmHsEkZOHijFsSJKJHEsiRJBHEuSRJBoUWhtLchVSerSSEEaxNpkkedqfC+h6sc0qgHT4136UZ+vvmD4k6+P8eSL40x4LtdsMmyYlKyb8tg4I9m8LmTHphX2nezz2YdnGFMOM2OCZl3QrEW0eglfeLxCwzMIYYHVDxzeemfAvU/YmphWVzO/4rB5tsHb7ury5MEOB4541P0YJYUFua4xCK3Wf/drWuzaMM/HHmjz2EvjnF6psr4pGKsYap6m4mg8FxwlUNLeyJbJISs/0qlU07pY4eIU6JYgIEoEUZICOxEMYkEvFnQSCEJNHIbUq13e9oYVvud1bW7cnbBuwmEwaNDuukSxSxQ7xIkiih3CyGEQOvQGLqttl9Pzx2al99ivXnXNnbrbaf1BvfE33zjxNwrwdrvN3PwKYaR/4OmnH/31Rx5+cKrTXmWsJm1mUNqkTC0SBLEgSOyJ68WCvvLouw5n2z7nn6jxxAs9PnFNh3e+tscb71xlctwjDHyC2CWM7ImLUqDHiSJO0oRNUgBcm5S5dZFYEMKkQaWt43Acjecm+F5E1Q9pVPsk9PnKs5I/+to4L54YQ0Q+l00YNowbpscVM5Me66clG2citq5vc2ahw+9+rk4cVNm8WTDecGjWoVmLEG5Iu19nvGEQQmAMRLFk0lfEOqYTeXR6CSttxbmFKlftaPAT37bKe//Y59RCHUdF6Y3hEMcVBqFk/ZTPTZe3uXZHl/2nzvEnX69y3zPjnG9VqfuKhgd11+A5BleBI206X4jh6joNGG1vukQLEgNxIqx/ngjCxCaJ+omgn0A/NsRxjI4Cpip93vTaVd712jZ3XxMzXnUI4xorLZ8o8lK3xi1cm9ghDBX9wKHbd+j0HFa7LR5+6MHZ3kD8+m233hJ3Vi/8dy2qjI2N/+0EuE56bN00/u3PPvfcf3v80QebSdyjWXcRIkEbG0vkKfYYvBgqMfjKUEsEvSQFeuIwH1T58yfrPLi/x633d/mZv9fhyq1tZscVzZpDGHmEsUscFyBPMoBriTYSY6wkMHlACVJkaX6N48T4XoyrQtr9iIV2xH/+VIUT8xM8e2Acoz2mqoLZacP0mGCqqZgad1k3JVk/FbNppsfU+Apfek7zzEvjXLtZMNGQNGqSZk1Tr4YIN8D3HRxbbWCzjImkHzj0BxGxFnT6mk7XsNx2ubjU5I7dXW6/apWP3V+huqxwZGTPr3GIE48wsj2e0+MVbt7Z5ebLuzz1qvOcWpB85L5x5ldrnF3y8ZSk7gq8TIZJG3jmRJ5JFSyTx0YQa4i0JZ9BDKE2kMQQR0gVsHGiz7Xb7PW45cqEZtUhjuu0Oj5BRjwpsMPIIY4VYbraDiLJYKDoDRy6gaQfSFbbHb72ta9PxVr9t6uvuWFlMOh/9m8Sk39jAP/6Y4f5/Pl1atfyhy5vLxxrTjdbGF0Bo22gZwC0lQYSa/0piBS4CVQSqMSG0BH0Y0nP8eknLkthlfueGePRl/rU/YC//+YWm6diLtvY546rOzjCtogJYeWKzUraWmljSsyNQUiDEtYzN8QgY/afkDx90OHzTzbYf7pBGNdoOIqZqmGybpioGeuDNx0mxxymxgXrJ2M2zvTZMLPCgy8GvO/zs2wYd5hpQrOuaNYFjVpM1Q949LBiEDq4dQsqYwRhLKk4iht29XnihXFb+NRPWG27LK76zC1O8BNvmePs4hJPPD+DKwERoYE4dggjlyCUdPsOE40K4806t+/q8apre3zPPQscPKO598kKTx6scvh4nVg4BIGiFymUkAghRgLPNCdgNLE2GK1xRcKYF1Ih4vYbu2zfMGDzdMT3vzGg6knqVZcwrNHquEQ5sK0cCWNlV9dE5TGS9dsVgzCrZ7Gltr2B4fCpeQ6fv795840nL/+ZH3u3irv7E6d+9d8egD/17ItctnnMC1546oe+8HzyH/orJ7h1d51+6NPt26An0dqmw1OP25HCyhZlcGKr+Vxl7aqKEtQSwUDDIHEZJC69pEKnk/DrH5vAxBHrZgZctXXA1FjMO1/TZ+tsSBSJVG9LKDE3qf6UUiOk4JMPVNl3rI5wHE6dr3FurkalqhjzBeN1Q7OiaVagURWM1RTNhmKi4TA1DtPjMeumBmyabZOYVT75cJN+t84Vmw3NmqJRkzSqmkYlxnVDvvREhaAncWdtt2gmUepVxZtu7fPQc5puIOn2E9o9h9WOw8WlGldub/DOu9s8u7/GqeUGSmogSvWyS5QogsgmZroDh1bXo1GtUa8GXLl5wG27B5yZb3HywiqOm7D3uMMnvl5DKGXBLeTwRTQa0GAMUZiwbV3Mu17TZ7qZsHubYd0UJLFLEDaIY9s1FUcOUeKkcZCVIkMxUVwCeJzau3kiSRDGhu4gYTUwXLH+OK++fuN/OHviqV51fNcHz505EG7a8j/fNPE3AvCzZ86yuLC46/z5c7+179nn5Wq/TsXxaPpZMCdwHYnWALpI5CiBE5sc2G5iNWCUGCraypZIG8JEEGhJkEhC7RJpWOg2+fo+jSHhM0/akQ0YnR5ZFi+1yIStSBRCIpUijhykdnAdScOH7TOGuqup+ZqaDzVfUK9KGlUrh8YakokmTI3FzEwEbJzpkLDCf/6zCo+8MMvOKZiopexdkzSqMbVqSL3Wp1qt4Ssbgwhhg12tIYpcBn1BP0joBIruQNPpa9syV/c4OzfGK64K+OnvnOM3PuFwetVHCI0xEToxRLFLGEkGgS1jbfQd6hWPWrVCza9R8SMa1ZCbrgjx3Ihbroj5/tf2cFScJoFsXf2QKE8lndYSISS+qwCPQeCwtOLYup0ki3lSWRhLC+hEEaeFa3H6s8y2zdwtm5Cztm6S2N8nheL6nZLbL/d5+sn9cuvOid/atKn/cBAEL/5NYPN/GuBHXvoAY+PL1VPHL7x9Pjgrrr/cY2HVo9ORxJEt+pHS+szaEYBMEzmCKLbBT5yAm0XvaRVcooV9nUX22upDewhCLYmNJNEOkfZJUtur/MizlAIcIWymUkGlaqg4hopK8F3wHah4hqovqHqSWlVSqzgW4HXBeEMz2YyZGg+YneyycXaJ931e84f3rWPLuGK6oWnWFY2aol6DWjWhUY24sKQ5dsGn4tnaGsgq/QSD0GH7es366QHtgUd/YFIWl6x2HBrVCo3aON//2nmOX7jI7392E450MGgSnRBrQxQ7BKGiH9qiqF5FUhs4VH2Xqp/Q6tgYw3MTXCfBdRMcaRslpLTpfJEetnRFACIFuaCl0ypLbeOaJJFoLYl1Ee/EiciD++x1/pzlJjKwp9lSm5uw5DPeVFS8Oi8dr3NxMebhF58TW7cvvX3Ltk3H/uPvfaT/z37ify7T+T8N8M89tM7TycrPieT0z425c3J8bApExbYyJdaKsrrbsrjtyJFpGj6N2pPUpkrS5IM2+c+KwxRp9rRSznq5Ig+UypobSDN5NrBypMaRpDXk4CqB6xjrGzuCii+peJKqr6hWFI2qpFEzjNUTxhsxk82A6YkeW9ct8eThgI89sJGJis+6hqZZExbcVUm9oqlXYhq1gCcPwd6DNS6fManuLdLm/UBxy27DFVv7PPXiOL3A0B8kdPtOCnKXWqVKtTLOd71ymb2H53niwHowCq0TWw4bG+LI5PUk/cChNjBUK4qKp/E9F99L8B2dJs1sibFS2m7BIm1pMMIgKPRcEZzbEmKdOVI6s19LVmzqWsVapNcyfZ8f6aocC1sykeYpdGrXOsq6NvPLml7YoxP25EQt+r9v3dHwpiYmf+WfQfgNA3gSBbLb7f3ib/z2h//p1x9f8YTjs2tDzOxEXuWRyhFwHAnCgltKQyytB+0kBWM72qDT10mefcSycwpynWbismSF7fShdHlGAV4kdFS6kriKUtGWzf75nqLiK6q+oFYVNKqGZi1hrB4z3giYGuuzcWaFJw71+cUPreP02XF2TGvGa9CsKupVRb0C9UpCtRLhuQNaA4OSClfZVSw/b9oyXBR7NKsRvVjTS+use4OETk/SqipqHZ+K3+Cy9RG//EMtfuHDkscPrMOg0EaTJJo4iQljbV2KUNH3JdVAUfEkvmfwPYXvaFzX+v2OMhbgygJcpTJFCDPcoJum9k1KIiatZUlSwCe6eE4SUtCn1y4HfFESkCQpwBPSvwflBbfiS3ZsgR1bDHG05J073/qXW674Dne1Ffyb8TH/r53O/2sD/PjZRU5ebP3Kk48/+I8H7fOVTRN1uoEhCCS9gaHiidySEirrOJFFEZUyFsSJwckYOjFobfI0ss49WjDa2C7ytAS0fDAC8FR25zeXSlcQpaxd5qStaK4j8T07AKji25EMVd9Qr2gatYRmLWKsETLZ7LNxZpUnDvb4hQ9Oc+j0JNsmrcPSqErqNWnZu2qoVRJqlYgoCfno/Q2kUrjSoERhE2qTLeUu737DCl9+JqQT+vRSgHf7ik5X0fIdKp6P7zbZvSXm3/3IEv/2g4LHXlyHNjZwjxNNFNtCsyDUBBVb7ur7goor8D0b5HuOyTO2jtJIZVdQKYxtlMgAXqQ8gZREsLkE67akgbymSKYZ0HlyLQV1+pxlk8srtM7LJlIiUsIOY1INup0q7Z5i7ti5ysTMF/7JXXe/Rhgz9/NC/PW2SfxrA3z+/Cm0Mbc/88xzVaETNsx4xIlGKYnnSlSaRcsvqhRILVDGoFWRIk5SoOvEkKiCobUu2q8s0IWto8hAnZ34kc+VATyrwcgyeRl7O05WdyJxXWnrNzxBxbczT2p+Qr1qwd2sh4w3+8yMt3jyYI9f/INJ9p+aZvOEYKpekiYVh3rF1q9UKzFVP8R1A84tTeAq22JnbbkiyEwSSRwrNkwY4jiiHVVsp0yg6Q8SOgNJtaeoeC6eW8F1xtizOebf/fAC/+oD8MRLsyRaWoAnhihOUibXBL6mEkoGnsolmOuC61A0kSiDI0llCoj0+RIYt3KFNCmEyJNDOk0OZdniJCkljZJCXuoc5MPXlPRaGWwR2sKKYrmtiBMYDCIO7n+xunHjrtv/Z2aU/7UA/u9+7wt84smodlPjK95sM2QQZC1fytZWZ+nhkhOlSydCa4GWhsRQsLaTffGyDDE50E0mR7LXL/PZpCiKqOxnEDm4lZRpo0QmT6Digu9pqhVD1bf6uVaNaNZCxut9pidaPHNkwL99/wQvnJph47hipq4ZqwoaFUmtoqhVBdWKvTlsqj/kiQOC7sCjorLzYeVa1oSQaEEUO9Qrijuu7vDk/ia9yMqUfpDQ6ys6vsL3FJ7rpfp5nCu3aH7tx+b52d+Dxw7MEmlJpHXaLF30YAaexPe0ZW+3qKN3VHaQypRCxsk0y3spkGdJIZMBPAV8kjsvDK+8ugxwM0JYZugaSglxbHeREylWkgT2Huhz+My93r//5VtrrQt/0hvb8F3/3wP80JGz7Nq5afzXfveTvzu/0nvleD3Gc1Va1LRWKmT1Hzo7QaXUsNaglbg0a5cArXNgF8saqfbOL4awBUVCpuBOi4xUDvDMrrRM5rnYTiAvLbDyE6qpvGhUA8YafSYabZ4/GvBv3z/B3pOzrB93mKlpxqpQrwjqVUWtqqjl7J1Q8WMatQEP7vVYbVWYmCjS5BlgdKpTo0QxO6V47fVdHnxa2y6aUJdALqm4korr4DoejlNFSs2VWwy/+mPz/OzvGR47NEukHaK0AtCWvVom9yOZVxd6jsRx0iIsKVBOdm7IP192E2ZSRWRVaRQJodFDl561LhNZtvKa1Ls3RSWjGQa4MKRdSPaRydVekLBjrP3KI/vmP7B197t/cnHuzOr0uv+xXeH+hwHu6NOcOXnhZ7dUT3334lwbt+ngKJ3XMOTLWaaNTenkpFKjrK+HfpYmZzL2HgokR5k7/QXZ8pVrb5lV0BW6O6sYdBS2PsMxuK5tLK54moqXUK3E1CoR9UpAozZgcqzFs4cDfu73pnn++Dpmx11mawljNZOCO2XviqTqW/av+DE1PyTWAZ3QRyiJmzF4rsFFeoOnfnHkUvcGtlwgrDCRgXyQ0PMsg/uexHUcXCfbgNZwzWWG9/7kHP/idzSPHVxHpB2CRBAmOmVxQSXS+K7Bc23vqpPGHY4SqYSU6flJY6TsuVSYld+Y5VhnBNw5CZWIqQxue51L8nOErIawkv6dWBuMEZw51+HTX1747ju6zx+Lo+hf/Q/j9X/kL+8/dIrI27qtfeHXr71s9jgTnkMYF5FzkojCutPlL59aT6nFNyRXSsyemEv8m5F6kiLyNgVrl4NKUcgjR6YVg5K05c0C23NMXj1YcZNUN0dUKwETzR5j9Q5PHIj5+fdN89zxdcyMOcxUE8YqhkYK7mrF2okZuKt+QsWLadZDDpw0PPBsHU9KXKXTIK7QkVngHCWKWDu8+qaIy3d0OXa6ykyNtJHXzjPpDVIWdhSO4+ZdTkIYrt4Gv/bji/yr39M8vH+GQVS1ybDYUEtruH0XC3InW7103tsqVZKvcEqKEsBFCeSs0SsFyM0wwEsrbc7UGdBN+X2aj8OM3ChmSNok2rCwCicfPslS+PC1v/JzP7Ut6J095dc2/80DvNeep9oYu+ypp57+T4ePtr992+QCG6bHaXVt8U+UVfElgsTIwsrTmVctcu1V3ABm6GawdlQpcjesvcvzc54y9yi4hUGqzBY0eTmAmzK352hcV+O7Gt+LqXgxFT+kVgmYHOux0unx0Ivwa3+0nn1Hp5lOwT1eNTSqgnpF5F65dV60ZW/PArzqB4RJwqBfoaLsTSZFaekn06wiDTQdq+WdgCA09CNRArjG8xI818F1pZ0qIN0c4Ai4brvg135yhV//45jHDk5xvtVkUJeMJ4ZGbKikEwd816Tef+akmJy9M6mSATz/vOmHLuM8V4jpRSlW6BLYR5h8+CZgSKaUJU6SOWhJ0WG02pckskvTX/z2vc8+mUxvvOGfHD0+d/LyHX81V+WvDPCz5w7iONXbdP+5t0+5xxmrOUhCjDEEkWObDvIZI7oIJnPWFiXWNiWWNtZ2GtLaawGeneKyKswugh33kLG3SeWJKQ0HsmWxrqPTMRNJDm7fS8E92WVhpc+vfrTGZx+fYbE7wcyYZKaSgrtidXctDSyrvqTmm5TBrfau+CEQ8rXnPVYijymfoXpsxPAKlSS2+aHpO7zmxh5PHArpRD5jece6xgtsrbrnWIA7yjZkC2kTNBjYs0XyGz/T5t4n+vzKH6zj7OIE/XGHcU/QiDW1GPzIjl72lB1o5GaBphR5EJw9lwP18o2ZxVQZ0AvyKV23LKOcVymWWb5g8eL9pWrSyZsreiFoUeHPvnwW13vh7W+4R3600xmc/Btl8IWlPtOTlSs+9tkH/q8Thx7m+16zipIe3cCeZOVonNAhcrKa7DTbVQJ5prULWVKy/fSIDXUJbVbm79RxQ0Cebs5cAJUBXNn6cyfN3rlO2t/pJnhuTMWL8L2IRrWP4/R4cG/CB77Q5POPzBLqJrNNwXTFyhJrAWY+uUoPkTJ3mb0jHCfg0ZfG6YUOG2rZ5xll8DTQ1LYgqeIqbr+yT6wtwPuRsF3rWed6oG1w6KSzYVJ7T6TJdYNgelzw3fd0afjn+YMv9HnopSkuRlV6FUkzNtQdY0HupHGIMmlcYlKQZ+ewsHeFBEnB4qNuXS5VshEVFMBlhLB0ma3z1Zs8I53kzG1r0YNEMIigG0tageBiG3rdR/D7T9Hvv5yH9tcAuIkOsn/f/STtsY1x5+Crnt6/xKtvaHPDDhfaNRypbfOA1IRJWrKaWH+2ALjMfdM8K1bS10PJhCFgl6yHsn0lzIg0ybJytmJQSfLJVxlzu8rWYvhuhOdFVNyQWm2A5/X4o/sc3vPfZzm2MInrV1jfEEz6CU3fUPehnnbYV32b7aykCSFbv5KkK4GVJ4vthG7o4SmFJ00eYFL6Kll5QZLWbISxS9UdsH68z2qvQT8S6bg1Gyu4bpLafCq1O1XanF0OXG3l47ff3eWWqxb4tY8M+MMvzbAc1+n5LnVX0nRsDY7vgKfImyGcLOmTrnwylypFAqhMKsNipQx0LrkC59c6c8lG2DtJ64tinQI8tl1f7VjQjmHQDbht1xIbJwZ89dm7fuFC+7oDP/vLt7zwzne8gduv2/4/B/AwSthz3c2XRZ1n39dQ97HvMPzGRyv8u5/qsHlK0+nqtIlAoyKHSKZjhxNVSufqEXCLYXBn/mqexBGX9LkFpmCTNPsmywCXBiW1LcfNmTtJQR7jOVaS+F6A7/Y5ORfz+/fW+fTDUxyfm6BZc5mswISf0PBNmnrPwC1TcMs8KVRJtbfv2RunWQ/41KMOR05VqaQTuPJ2MQqUm9LNniSSKHbYsw2+9ZYOH/jiFN2aQzOys0f8MI0blMZx0gSaogRyt8RGdlXYOi35+e/rce32s/ze5yc5fnGM5bhKz3WoK0EtBbonjb1xUpcpX/2y85rZh1h9XmQ6zVqfPCOmrHTCrI2lygyuTVaCIXJpknURBYkFdysyxP0BV6xb5p+/e45d2wy//kfHr33ja+/++Gtuv+PNiyvtv1Sq/IUA73QDvKrHF7/++OYHHj++82Nf8Di9MsmRx0OkN88v/+gqm9L9QW0mTKOkk5ZSattZky7FpixNcpCL0t0uchbIT1ZO22ZIB2bAts9p0VAKbuuaZOyd4Dqx7dxxYnw/wHMCOknIb33c4w/uXc+5pXG0qjI5ppj0DGOeppYydy1P38u0TiWVJql3noPbs9nLIAo5ctanG/pM+KmLkyWdMlciy8KaUk1K5NCsO2zfHKL8AZ2wQd8TVCNDkAHcSdJEjUpr6bMS4EsFr4qZsR4/8e093v7qi/zBvW1+/5NTLPbr9J0KFUdRcwRVZfBjY9lcWqniyKK8IctyrmFyLiFXRh0Whpk8y5GUTYXEUOhubfs/+4mgkwi6sSYJ+uyaXeaXfnyRt94mCcIK/+Q7TtGYfmJn03E2b7/mFSeNCRHC++sBfHl5EZ3UZyYbtY8//cQRd8qdwJkUnO/5fPzrkpoX855/2KFasSlLKSx7qkSjcgaXhUwZYe+CtUUO6EurK1OyA00O7CF5ItNVRCUW4E6CoxI8N6LihXhuSGsQ8ug+yR/d1+STD08xSBp4nseUJxj3NHXPUPMNNa8Ad8WX+L7ET6WJTQylzkQKcM+1mc8TFwwPPVMjjFz8ulkTYGaPPM2dnpcwUriuw2tv6fCxr3Q5dLZOv2KbAgLX4MXgRho3tKUQSopURshiuA/FiphoSawlNd9h3Xiff/FdPa7cGvCH9zV4+sAYC/06A+Xhug4VR1CV4GcDljJ7VRqbTxCUQD5cszJanFVm9PKKXGb0jMUTQ167EhtBpC1zdxNBLzHoMGTG7/Bzf3+Jt70SFpenWGk1iEKf08dOu82p5sfb7fb1YdhZ+Gsz+JbNTXnu1PHbThx6dOy6HZKFFYfziwkaONmv8ND+Bhc6LXbNDki03dlMSIOMHZRK8vrhjMkzUNuuG5EX2JclSvYYKvyxPTqWyfOUss7LPa3uNjgqsQBXSS5HHCei1Y145EXBh77Y5L5nx1huNZDVCo2qYtw1ND1NzTXUPEPVI2Vty9xVX1LxFBVPUPFIK/R0Cm6N71r9rZyAw2fhXKtiEyupvh1OnBT1M9ZhEGnduyQMHdY1BVds6fPC6Zhe5BKkM769MGvxS1KJIvJaHznSmZPHOqkNGSW2Pvxdr+3zxltX+OpzHT78pSZPH2iy1KnRkh5dz8FTAk8KfInt4ZR2lzoliptUibTs9xIMvoaSRhJ9hbFQyJMkLZ6zDS3Q14IgMZgkhLjPhpk+d10VEQVjrLQbnL44ztl5n/MLmkMXHh679XZu275j5xf5C4YH/YUAj7on/bFG53e2TB6o968QzC16uE7EyeWERBjOzzs8+ozLrm8JcR0nzb1Y0CVaoqVKq8+KHkmTAb3E4PmdP0rfQxaVoVygb2WJTjW3nYSlZIKXuRkyYqET8+AzDl94pMFnHxpjvl1HVCq4DZemA2Ou7eSpuqSyA6qeSA+ZlpymutsT+Bl7ZwB3YjwvpuKFGBPxtWd9Tl2oMj0pcKVOdWxRVVlmu7z8NJUU/cBl2zrBa2/s8enHQ7qRSz8SVFyDF1sWDyJTWqVU7lcj5JBMsUdBLjZr6lD1A951T5/X37LEZx7ucO8jNR7c12C+VaMvPPqeg+MqHCFwpcCVEleYVGoZFKIkDYftwzVknl5LTaHBE4YBHmtBaCA0glBDrLVtcE4CPELuuqXPhlmNSQxJIjh53uHQKc2FxYil/cfrO6689Xc4ffZKoP/XAviXH3oRk7SRvSPcdtUkF5ea7NkeEDh9Tj4o6cxrDpxwiGUfV0UW4CnwEq3QKsmliV0+ZekCWARn7D2cwjFDABclYAuhUztQIzIHx0nwnIhKJWIQJBw6ByfPK/7k/jG++HST+ZU6uBWcpktNSRquoeFoqq6h6kLFteCuuHYmoS0zlaVDpH9uUpDrHOSea9vTjp3XvHDCB9dNl3lTStGLIRSUl+wsORYndpzzNdsDrtrc5eC5Gv2KoBYL/MgQKFJrT6fsnbkpmQVZaJXcZ0/jH61VOn3AZRC6VKsBP/imgLfescqXn+nyp1+pcfJ8hYPnaoSrPrHvMHAcpJI2nQ846XPG5Ll0oQj+R1FuKEknMmCn4ynSw/7MYEwCOgYdQRLimoirdoSMT0eszHV47GCNTz/WoNNRXFg1bNlwFhm9NH715e/63m7PfKD+MjPHXxbgi4tnRBD0/69PfOq3p+9/0vAP3rbA9TuWGBsP2bJ9wIv7x3mpo7jlqghfapBROhohdVW0RBuVgjtj8GKUAwyDvETaRaQuAGG3eSVj7ey/LxN8305SjZOEi0tw/9cdjp2t8sCTVc6tVDl2vg6+j6o5VBxF3THUHW1dBNfOaKm4dlybBXF2yPRQKcBJNXcKbjfBdy172xsr5MQCHDhZw5XD9mAuUShKh3NHIXNSdNbT6HLVtj5XzPZ48XhML3ZpRILAAS+2MwFVCeBSCoSUQ0wOowkUkQezWR9llLgErkezGvLuNwTcfW2bcyttvvaUx/EzPl9+tsb5pQpJ30VLh8hTCCntSpF25UvSjCfD9UBloJtRFqeoQ9F5zbMGk9gjA7iJCbXm6f0u/QEcXY743Y8nvHgqoDYO1+/s8A/fPs/B4wfHb7ix89OuG/7BJdb/vxjgH/jjh0l0/N2PPdetP3l4AyfeH7Nnc5tX3zTg8k2G8fGI198V8ppXhLgOGGJrW8UKKZMU1KokTWQuSzCFBi9ueJH/P3nEXrB2LkVUgusnRInh+BnBC8cV9z9Z48UTHi+dqNIOfILQB9dDNV18JagpqDmaaskH9p2sTiMrm7V14X4qSzxP4XkyvQFMob3dxGYWXavzK16E0SFzy5LA+DiOxJMGp2SzjRB4sWSb4X7HMHYROMxMhkg1oBu59BxhnY6oKBhzlB7KQMrMpAbIhh1hz3nO5KXBSG6i8vETvcBj/UTI1nURN+0I6Id9/v6JFi+e9Lj/iQovnKhw/HSFKFbgK4xUICSJLGWDysn8kSbmYUovgTp/LgNcpyC3Ne5fe8Tj/sd96jXD7HTAD117llfcYNi1STE9VkMfPcPq+c+i1Mtv2H1JgD/68FeZX2yrLz+wT/SWfa6YNMy3Bfc+UuP+hz1uvnKF7/mWHkfOODz0tMebbrUf3nM11ZoFN0aAlsSRTBM4lsGhcFCGb3cLaNL5Ja5jbIubNEShoTewjH7yrOSP7/PpRYrnX6pw9IzPYtcjSDxwPFAuqqnwpLDj4pShorDjzFRaeKQsa3uusEmPMrhdiZfKEt8D3yN1TWzK3HU0nhunGdGIaiVkfiXh/scatDo+E2MCJ/Xis6KvSwVkeXVlrsUlQaCYnlK88Y4BX366z+lWnb4rrUxxwI0NbpR51qnHLhNrF1KedSLz36GNU/odFuheokgcRewqosQhilxrpboRdS/i7mtibr8y4G2vGnD4jGTvAZd+qPjD+2ucuOiCkPT6Dkmo8rYp41Bkgy65O2VWS11+1ojYIHS6CYExVOsxrmNvgLtvCXnxqMuxs4r/3w+tcvMVQDjDmYsznDnvM+YqTp6YE07janXf/V+J3/D61/3VAC4FrJtp/NaO9cl1NekShNALNYvdgE3rO3zfG1rccm3Eu39xgj/4TJXZKYMRcOOuiHe9bmAbhhOYGdfccHVEvZLerABGcGm1JPLhPK2eYO8+l6W2pFqBJw+4fO7hCoNIMYgUFy56aOEQGRctXHAchO/gSImnBBVpqKTA9pXBV8bWgDup5+sUzO1lfZk5uFXaoyly9vZcjedlBVpJzt6eF6FUyNefU3z68QbKc6zdNqS/X57BMy88STLHQzEYuLz1zj6ffbTNH35tjG5coZ7qcDfT4VGWlDF5t5AQMgeY/VWypPVLANfpaAfHMrnrKGLHwYkTC3SVoJQdpD9Riblzd8wduyOMCHjnPT0GkXU9/vxhn6cOeFR9wWJbsfdFj3ZPpirp5UBesLgxUK9obrghZHo8sY0vieFdrwu4YZftfJid0nzlCZ9f+J0GLxxzeNfrDBvHJllamaA3UPQGGukE1915V/23jOEn/koM3u0tUa1ONk8e+Pju3ds6aqpuCGKF58CuyyKu2jFgvJkQhNDtSeaXXeZb9goePlnhc19r2C+QwNhEwm3XRTSq9sO/jEzKAU7qOqx2FU+/4NFuKaQj7UwUY6eUIhzsXGAHpIOUElcKC2Zp8KXGSydneQo8VczosyAXRcODYxsBssbjMrgtw6dltW7G4EnpiPGdCGNCzi16hEEFf0zipWlvlVblDWUxs44eivR6AXJJohVh5DLRUGyZDvHEgH7s048FVceOXMhqSLKElpLl8laZ/y77O2Sa/NFF9lTrUq1QOu4hTtK8gUr3P4qJ4gQV2VyCoxKkjNk8rdMVQ3Pl1gGh6SMdTaslePoFh9WeROWKZTioHr7Stk68XoHbrwsZm9CYdE5KzbFJJ1toBPWqi+MKHt8/xvMnmly7qcKejQmek9APEmKEmtrc2v2PfuTtzW5nsV1vTP/FAG+35+h0lt47t/DkPds3HGe6OckgVHiuZno8AOMiHMHH7vN5+kUflGMzA0IQI2iZ9CpKaK8KLnx9BNhDEWXpTi8tb0YIdLblAmnNqVBFkCNlamVloE7TzpJ049ZiNFz+7KSd9Ip06z1ycNu2LoWXgttzyEtMLYOnLO5ovDQ76roRvh9xZlHzkS/XwfFwpSgCzFyeiDUMXs70ZUNCLdjsYJ0wcvn+N/b5zIN9Xppr0E1carHdlNZWAZqiE0dlOQFyjzo/l3kNiCwVeGWHzmthHEfhJnZeipsCXckiaWbrxtPXQqeDgxIcYRAmYbqm+ZZXaBBJKjMBkU1WSKse09V7mNAFJAoTFxrapKWyQlh37NZrAr7rtQEfurdBhMfFtkKaGM+BfihY7LXYtOP5e86ev/69URT/w7+UwT/x+XtRUnpP7ZvjH3zLCls3aPqBhxSaWmVAvdbnwjx8/sEaF9ue3fNDZADMmKr4Iok7AurcEhwBdlm/CZkHL0LKvAVNCXCFvcN9YasFXWnfO5K0piLtHs8KiRxKc1BId2YruuoLgMtctvieyVvaPE+XBufEuCl7e06ElCGnLgoW2hWE4+BLhuSJFCP3MGXrrNzBVA4EFWHsMtUM2La+z8GLAf3EYZCAnwjcxA4udRSomNxZKlLoqnT+RallUBbzZPLfJ0gSjZNoEiVRTrZ9uUqL1RKk0ulKoQtrNgV5Vp6R7T4t0mlZmUGQO2GYNYJlTd4jb5VLqySFRuuEdY2Yb31Vjy8+XefCSpV5pRgkCkfYvTo3TnW5a88Bntv7554hWaML1gD8q4+uIKXg8RervO4GzQ27F0gi106IckL2HtF86AsNHtnbxIiUwYUzDHBGKWv0UfozIeyymn9BgaRIEdupVOAKgytS0KYSIHud/ywl+6IUlLzB1lPCgn0I3NI+exnQs+AzBXfW/ePoXKK4jtWnnhcRE3Hvo1XmFqq4YwqvXMNRdlCGv3HBrCV9XE76DAI7wfYtd3V5dN+Adlyh5zhUY02YptOVLAqisoIzITRF51ApoB+q3ktnqhhIlEjn0QhiJXASme5iZ2t54hToRTJN5wk2KXUp8Za+zkp4c3CX0/oZs5uXQYTJ/55Is9NaJyAld10X8S++f4kP3avZe2icvvJBCFQc8rqbVrjjCo+zy2eH+jovCfDBwqfxK5VXPPbIk7c8e3WX6bGYD95rCIIEIQWRdvn8o1W+9GgTPM8iQbq5fMi+zRpvdATa5c7tLCOWJQ2yRIIDudWm0pSxnW9SaFyVATsb5pnKkzKw8zkoCtuPeCmAZwFnprudTJaYVG8P15J7boTnhlxsaZ49WgXHw0nliVMqUMrnwqwxjEQxsCivrit0cZwoosjlxssDpsb7tFZq9GJFTYEb2++iEmOPqAxwm4coKhzkSKWmSEtW07ogZUuaXS1IlCRRmkQJ4hTk5eK1rBxCZiAvgTormRBYVi+AXWZzSoxePhMZMMrWsE532tMk2mG2EfFP3zXgqq0L3PtIl1A7SAlhYDh+UfLvPzKBUOtuufnW21/xn9//pkf+8Y++6dIAP3ohQCnzLSvh8g0b18/xZw81+MMv1BhEVipoHCLtQs1NmVvliQY5BNI0OVMCcPaQDLOaTO/aMsDLI9dUCeQZYzlZbURaA56Vetrm4qxTxcoSlXevFMDOmm8te6ea2yHX25klaBm7ALebVydGCCI+/7DPoy82kL6DJ4Wdv51XEBZtdEXF32g2U5Ta+TJPXJFoRX/gcsfVfb717g6///kGYeLTTSSVxBDEpCtXuepPp3JOj9xQL8fkoB2ZtomJHNyJkiilLaNLmY6W0KVS5HINkClAPpRtzpi8AHehzYdL6vI/z8FdHEkqheLYIY5cXntDxD3X99KaJLtn0Ie/UOMTD6xw3e7FG6bHVr8lqkaPXJLBT58+y/hY440f+8x93/fRz4ScXd7E6UWXQSJAZZ/MCl0pJCodZmklRFqUUwJ53lJWKJEc1EVlYHoJ0rtXlkAhKWoeyqMNMua2U2uz96QMTt6GNcTiaTeMq4bBbccpjDB32rPppe1trpM1HMSlIyIk4k+/1iQxPirPXpYDzKKvMXM2hjQ4otSEm9br5LP9FEniIHB512t6fPTegFUd0U8q9BOBG5OzuJQGGYu86MzahaNLtSxZk6IEckHipGMdVApyx6C0lSuJSitDlUyzxzIvTS4synJ1Z1HGnO2kUeAgS+ePzF7JAV7cEIVMKYrqoiRBSd/GBaXf+d2vVdx5VUQvvMjMxuD7Ltv15geWFs9/eWp64zDA4zhhEISXmyjYqbsxca9JVYGsCtuSlOpiJUBRqjRbU5dQliClBoURaVKev2H/rRliPTnyelRzZqAvz/ZQShRaPK24Gxp2kwLbUaJwUnI70Hbc28ZkkzJ3EWA6Jfb23ZBnj0qOnK9glIuSEk9qnNE6jdJdPeqiZMdwr2qR9EkSuwXIzo0RV+3o8vjhKpHy6MeCirTTeJ1YpPIt7cKJ0+WddMjpiBgoWFyUpFHWVZO5K7bexYI7bWdLd5vO9XfaGmhX74zJyVePMsDFiEwR4tLsXUiUtf8dmd1AUpc0fpatVYxVa1yc81AVvXNLHFweR/GX1zC4KxchqbBnS5+rdyVc3JtQ05K6yOBdfICMqbM7M+/6GGHsMpjXLkfDTF7Wq9l/W+U134XtVkgWYbvnRQFuG2SKvFvcycEthwBeHv5ju+3JgZ1nK3Pmtp6rlwWXToQh4hNfq7G0VEX4jvXdyzfhiDQpdCbDvYt6mFWHvGltd0mYnpR852s7PHu0SZBU6CmPamK1eEYySpKCO1srdOqJZ4W5qVQZ0eNal5vBy+MaJEoXG/Fmry2Q5ZAWz7Zdt2CUQwxu6+ALuVLgYsRdKcmW0Zti7WpQKIPMixuEEXuPCiqLPRqziwwGg7USxbR+F+NIXNNianqAcGZxpZ1MmsflQ0tL6eKNdnv8RSAvgXot0M0Qa+dAzycvFU2x5ZmDOcBzFs/kikQ5wwD3nHQAkJttHZhmOB2Dm6fidfo6GTocZTt3XjoFH7+vQSA9lFRp9nL4RhzNYF7SJqPkpJTcFJ0yeJw4+InDd75hwIe+2GPf8SqRculJiZfo1D0SyMSUzo+x7WWinH/Q6e8a3reozOSJBie3EO3UX5WWBKjEFMM604m0ImtUFhCP6PECnGUSNGuJrrzSj4D/kn9HDOMNYSVlrPt04h4PPPY4n37wMLIk0RyAM2fOsXnzxtp7/ut/3P7Ak4fYe7hBRTqMVxKbmSoRULG8/BV/fimJMqTN1qa010oUkQNndByyLDF2FmRmU5scJ9vkNdXeagTcWfrezRqTtZ0ZkreIZT2dcXpEKDfkyDmHTuiBclJ5YkbKY9euUKNVduUZ3MNJGNuNUyR+HOquYPemAfuOhCTap689Komt2XZSDa6E3cjVJpYyd0KTRUQFk4siw5nWwzj5hAP7M6UhkRbwKt2dQupiQkA2XSvJuvtzA6AUXObOSvb9s89Uis1GAXsJNmfo56MPQyg19Yrk77+px6tv6CCrO7a/6Vv+RW35t/9Jb2p6vQX4xYtzdDvtN0w3tv1ssHqcXTPY9C7FcromCzXCRNm77IOXAT7E3KUbQVC4i2vBLYYYXOZBZnmoZgZyihppVQK1Gt7F2FWkXrgFtwVwMRTILcuTMnurtK/TC1nuaP7rnzVY6lcQvmvliTRDq0oxOOdSF2UE6KTTBHTRU6m1zFP3cezQrDn81Ds6fPXZJkuBRygd+lLipT2UxciHLGAXBeMJTVZGa9ApuDUGOeKsiJTBTR6kZ2BXUqQMbiVRkrsoKahlEYuV2wnLciIbVJSz+yhwy3o8f3+JFsbSwpQ5UasdSJImSSSZ3nD5zx4/fvSRJOp/Jmfwc2cO43seenCePVsE7b6g3bXDHMuz5DTD//Fyk/Aok4/eeWIE9BlzZ0Gm/Tui0OAlNixLk6xDJge2FEhVjB9TJVA7UuKkksTJAZ5pbp0Hla6jc3C7TlZ/MczerorwvJA/+ZrL/mNVkC5SSvysNHY04C4tWy9bTVhi83ynipJMibVMN3lyuWZnj2+/u82HvlhBOz596eFLkSd9lBREme5lLZOLMpPn8yPFUE2MVqCMXRW0ERbc2ZQwDUk+P0UUAC/NF7ffX6ReeElyZgDP2XyEpTNBnUOmeFPOgZYb1POZlondta7dczg3FzG1fJZNCw5RZDeGcABu2DPAdTWzjQFx37D/uEuSRDiR7XguRm2VRjtAnqy4JJ2LUQYXpS9kkBQXflSiFIFlBniRy5K/HOCyALgq1VA7aV2KSy5FXFW4JW5pOFChuS17u46dWrXS0vz51xsstnyopO6JKAVjLyNRECMVlOV+xVHbLrMMtUQnmZviMNFUfNs9PT776IClrk+oHPqJTO1Jkbo3omjGzvJuJR2elSvbqVM61+Q6/RxO5qyo9LVM30tIVLEVTRnkQopS9312vQqZUujxci+noTyr8WWT3qWuINLzBMWIvyTdNiUMFSttyYvHY8Y6MT2lCQIryZwHnjrEipq67ImnH/npx588i+5pdGiHMnquQOmCxcvTRPNWszKLXwrgI19CUFzwYVAPTzbNK/GyxMkQsIdnf5c7XOxwd4bBne1skDG3KjH3GgbPxk0UIyccZTOXJ04KDp+qoPER0smbc4vqwWGJVbgaxQkYkn1QyjSWU/aFo6K1DTYxDnu2hezcMGDpYBWTeJbFEytTnJKLUzgR5UKvrMFAlkCTsrkpfHItRW4dlmMbpe1NoyWp9s6uS0FGhYOSXbtMk4thqcIlVrXy+zUqIZVwZDKuGNwapy1/9arm9msDpqb386q7N//09l2vev5f/Oi+k44jNJ4YrO931Ru/9kiP7et8ZsfsLDwpDWrEMx2yt1g7AvflHmsclTKgGQG5HNbhMmfuYWDnz4p0FHDZBy8f6ZbWqgzuEsjT/erdtDQ0Y2+VvnecCKUi7n28wZHFKniFPHFL1qUYYe/RcRFrCGqINIpmbF3e3Swrow0ddkyHvOWOHk+9VAPtEidWi7tJmt1NhqVSwZyZoZbZhjKdJyiKYDN7LdPXMiU1mR323CfpiiFFyuqaYuXI4w9TuslNfh5Gtfhf9MjBbbKkGLksGR25jbFNKVvXV5hsLFFxvDcG3Xh9FMqTznhFUPNg86Tklh0u1apTGtg+OhF2eGa3HpUsfxHAKS48I6DOATESoGWAFpcAds7mSpSacEvgTucTFtt2sBbYTjEgKB/x5ugU5LGVJyqiWgt5/JDiM1+v0x94UHNwpMAVw9Jk9POPxh+XuohD+nvEMiz74lHsMNZweNurB3zx0R5PHvIwdZd+4uMJ8htN5b+/bLdl4C5APqRt0cUNpiybJ9LqcV1i7Syo12lwKbUo7QwhSoHuWvOgIDJRrCglbJiR1zlrj8QoRYkxQyMAo1gxCKucODuDO13DbToM+i5OvWYno66fgit3+PRDlzDUxFoPz3ZOTA7yTI+Pbi1SZqbs04rSB7fvBYiXYe6R17kUEQWopSrt3qBEWptSgLsAeVY2a3CcYoSyk27C5KhhoLs5W9tDKRtgel5IFCZ88bEaL52ugesipEpBtTabK+TIBS2tYKJAVGn4UTqgspTJ1Cbbtk/mnniSOIShw5VbY950V5e9J6sEsUciXfpa4SWMfJbMC2eEwe2zGfksqAxIGq1EvnIbKTAKpCn0eL6iSpC6NMtQlyRKPvZN5Fr8Ujf86M0/NG0hlb/FCO4sCC9vUmZvhFhDEMLSCmy8PGFsOqTbjXGee+aP0UbhyzbXXTHg4CmfdteK92zrCa0NWgq7n3lSHntcCj5LN2X55I1+mTKoCzclZZ0SAw4HmMUOBIU0KVmFOWNnAC8mp+YSJWVuy9gmZ2onfy5eu2lw6agI3wt58ZTgy4/W6PU9qLtIkVUOUrIHL5HFzFaoIa4qGMqiSzA8SH4k4VMqwAojl0Yj5E13Bnz2wQF7j/vgeAy0xEu1uNKgEkoyAUSC9ZqFsANJypypCpZ0FIV0kZbNs1UlC/K1sWCXuki0CV24Kfm11KVgU5e2l6G8qgzjY21cUpbGopRtFUOZV60hjqHd0xw6GzP46tfZf/AJBqHG+eMvLBDFktnxgMtm7ERTxxFImU2ELbb7U9qQyGyrP7uR1FDQ+XIa5VJe+FDgUeynOQzwUQa3eruczVQqrTBMKwptO1f62inPBx8Bd3q42RTatMDfUbE9nAjXjYhNwucfqfLQi1WoOCBtQ7NbKuEdKo0tH+U3l5IoQwF7YX9lzciJyeaaFEAPBi6vuqbHW17RY/+pCnHsYoSiLxzchPwziaRg8eIjXJrJy0PslUqBJS2b2/d2h7xMh+d+f8bo2fUqAT0jpyFZqjNffMRBye51iueivLcYr1wE4KzZxc0YQ8UX7N4huX7XMtvWLROE4OxcN4ujBK1OyJHTA9ZNQcW3H6LoF7QbtyaJRiaQiMJCKs+Dzk7UqBofbmgYBnVZh8vyc7bslV0TMXyCVflIdywogF46nGIT1AzQbgnUmXNiHRP7rFSE50Y8f1Ly8a81AA+kixAq7yJSadq6nHUtf5+cpfJLWjDX8GCcUtFVuYQ2sa171u9VefreGId3vabP/Y8NePqYnSQQaUUvEWnBVwq6JLPjzLBULH0WY4xl8TLQSQtIU9Brme7nk8VfmfaWKZsLm5fJs866tILJIpspxTBri+EPNAxuGNquMAN5tpGs3UE5I1v7PSu+YNdMhaA/wf5jLkIYHM+1v3CsLmlUHaq+Lf4XIqX+dCC5iEAKhRAakaQbCol0+SotsZYVBKOfvex7SvEXAVykAC+spwzg+Zy8MsjT1rRisymTgj0bgF+Ae4i1S89ZY20mVZSKcd2YKIl54MkqLxyt2tY8aYNLT5jS5NhyYDVsdQ6T9zC0TOlF3gBRqhEZqi5MJFqljkriEIQuV+8c8KrbLIv3E8vigfAYaHASUQR+SWYXWveikCjptTLDTJ6vLBKMMkgjUAab/TQCYQRGgDSikCqZvJQj5yOTJ/n5KOpThhh8RKJYn75kCZrhzWTj2JYlxInOt6EUwu49ei6WNBt25Ic24JCyhVKCsRrUqhYMxtgtmMNIICPLQZEAm5fSCJ0yU67BTX6xLqlQLhlgjjomI0Av158I8r13it2LU2APNTwUW5coNQLu0lD83D1RCcopATyVKJ4TceSC4MNfbBBEaZOHtG1pWWuaKu8SXHZOhpaql5EoZhjoZZlSbOmSgXxUizvUfckPvKnH5x+qc+icvfkSreglylYZJmnyB0uvIhF5RWh5JTGlNTcDmMyNA1vnY4wNJo20K6uRwgJcl66ZIWfu0Uz0mutdut/F2tNSAnjmmqQATxuS43SbRHsUWxQqJam4gnrNx3EsftUH3/8f181OOf9P3D+1Z3IsZryeUK9ofM/q2SwGL0+Bze68IjtVFPfLkUPl+lkO7VsppUxfy6H3Uskhy2/0yEYmlD3u/NkpdLd1UIbBXd6rpyimSnd/cKK8mcF1QhIZ8qHP1fjol8fB90FVUMqhpgxVZdJxFOQNzm6pNa7IpJYTUZJiMixDAWoRSxS2Y3bTCkna+Fv0QippEEazZX3IuUXJMy94xGnjtxYKIWwp7XCCZUQqZvAyZaCJoVUlvxHNsPDMnR9GJIUp46UUl5VeDw3FH/l7a7Y6MYXGzvR2nFj2DiO7tUtvYOgO7HMv0PRDTa+XcPmu69Zff8MdX3E8XhrfPD3/5srlF9B4CGFIEkkQOrR7LgI37REs+ZzSgj1bksqB0suxd5a9yk70sCVYZnKGmXuoDtwMaW+Zg6GQJKqkvVW+00NpIyplRiRJVimYsXeE60QcPi/52Fdr2Pkrlr3zzv3s9wuGxguPtuOVfeD8TQ6gtXqznHjJsnXZ2LtES2sdJopEpVo8cfiu1/b49AM1Dpx1QYYYIRkkLg6iqA0RIJL06iSl4aYlOWklgn1vMIUGzxk9ZWljZYsUpfci3dSgrMmFQJcYXJbORa7BL8Hio6tacS6g2AXbgrw30Kx2De0B9KN0n1Yh6A0C/JnVN891T447X3y6Q6+zSsNc4PW3SvqBg04UjvJZbTUJoiatbtG6mX9gaW1EUn2X76czCvASuBmRJUOed/7fLZY4NQT24X1kCg1ebBWY7aymRsBtJ7Lq9NnagUppVOZ3qxglY1QqTxIV87lH6hw4UmhvKaT1vvMOGoZuytEMZvlmvtRFLF4PNyAPeeKliVSOFrY2RRYp/DByuPLygLe+osuxj/mEiQLhkAiHvhA4SepqkAW6maNSsgkxRQicxVBGlCSKlSbGmFSLp4cwRYpfgJYW+FpfSqKUwM6lQX5J+Zb54DmBFlaLMYZ+CGeWYb4Hyg0xJmYQau66ZpVX3bSODTMJzhOHJjh7PuLJZzax8dPWJqz5Md/3xh6zY30G7TH6gSCKi20oMkKSQqRf9NIVc3lnfemLZVpcyOFgZKj+e4jBC9bO3itJXoCvZMHcOdBVmckL3a2yIDLb4kRqHFkMzVcqwXUjjl9Q/PanmgykSzZBq+iaT1eQcg10mZkuRUuXuoZDy3fqZpgsx1CqTSml7sv1KYl2iBMXP4n5h2/v8mcP1Dh23gEVgXaIhEtfCFSSnduswM2UltUyk6c3G+BkN1z6M2lset5gUtbOPHE9xOYmdU20sP9G5+bBsJmwRocLXlaLD6uDNLHn2H2Sxpuwvdrhzqll3v2GLjVfMggcppohGzYZ3IrEWVczxHXBhFsh7rroBJZ78F//dJrJuuCOKwRTY/YL5hdm6M5LwV2mpUtYgtkXGU3jvhywxQhrZ4mUTJJY0OtCoshhBneG/O0UzEN+d+mQlsVdJ6Qdan7/s03OzaczX6SLEDKVJ2bI985fjyy/lwyqXg7olNiqtLViAe5Ml8r8yJshpCKJHTbNBPzYt3f4tQ97tCIbEBgjCbQdkKOS7HMY6/EO+VxlfV0Enyq92MaQM7fKMpspu8ssD5IlgEoSxZRWOE1m/Zo156bM4pdc5UoxQmZAeI7d7e7yLYpbrxZMNOoI0SBJJNKVdDoxS6tjVKIaztYpQUULVrZZ1AWRyZeZesXO0QhCjefKXHuLVKcNsXbpQpZlSXlJGj3WgLsE7CENLtaydtb4mvnfOZM7OmV0nUsTK0d0SapkjB3nz46KcPyIT37e532faBJoN53apXJ5kjcVlz7bqCVYxBgjJ+dlWLxYkksZzRz0WcreoPPNdUspfG23Aq84MT/xzi6HT3n8weesFgdFIiQDbQNOmZAzeFGAlV2sInVftistqFOpkoHa2Js8DwqF/TtCiJJcyXzxrLLQYIS1GAsmH+7THCqnvtRql8krae1Ya2VLTpyboFFN7KYLiWQQSQaDmK1Jg+ZYDefaywUr0xIVuswtu7S6CYm2bOk6At+zuwhYLWRKH0QUv3Tkw/1lwC6z9zCwyavSykGlTC1B22Rc2jJQFRu/WpbOfpaBucTksqgOzHV3/mxnDS6vwJ99tcZKkIHbAtyVVns7YlieDK88Ig+m1lhgpYtW1trlFRFTpKQLeUK+5csQuFMtrrRCa4c4cRjzEt7+uh6ffqTGUkeBjEArIqweH60uHMbRyzO5zQMVSaGsPkUxzOJSkgNc5Cyexmf5dS85OyOyhcwjT+XBJSkhIw9sUN4PBAsrilZXIYUhTgStLpy6kDAfwNSUwKnWWkRxi4mxHoNoEillvoQJWfica0OlYWAPpWRLwRalLzOU0h5qJB4GtiiNiCjGRZSaXuVaSVL8rAzuZCjAzILMbJ8bp8Tebi3m81+v8OQLVXRJe9umhkyeDNeb5LUWJfYuf9+yFf6yV4xSuQOl3Z+z+osS8POg00iUKXzxOHFxdMzt14R86609PnKvByoEITFCEGgHJYTdgiS7tiVdOSpXMmvQGJH35Bpjz385AJUi1eSZbJGW0aUpnnOgl5I8GbPntUgyI8bMdjZr8gdlyNvqQWsZDsLCtTEIev2E5W6PVtDBj3ycrzzrsLCoOHpQsH2doVlXOGn3hqFIi5Zz/nnSpsTEo8D+i+SIyIKeEcdEDC3/ZiTILG3TXQK4VMbutqwsszupZ2x1dUmSZI6JLEkUad0T3404dlry4c83uNjx7H7X0g4VVYJix4ZLfo+1bDR0bf4CAT5kiZWYvdyMXA42zVDXvd0/xz7b7U/W1RN+8Fu7PPKCz7E5CSICFBrJQMjSJlJQLqMVQ3ehKQV1JpdKmQ6X0m5GlQE6G2CkSjpcp/akMUXAWbhmqVwpfQ6TFmNJka4AKaBl2dHIwZ1uAZ4Yu8Fwko41ETbv0KwLXnsLXHNNwthEjFN36gTOgPFKjWZDMtHQVLw09akF/UDQ7Qn6YeaTZsvIX66tLwXszHXIwS2KEk8xEkzKIfY2pWdKEkVf4nWSa++MxZ1sHLCKUTLBSW1Bz4sIEs3v/kmTh56t2t42acfSSSlt144o5q8Un7UYN3cpHV5kNAucrwmihjKYhWuRSYHh8tlyGa1tN9OZo5JoYumgYodX3RTy4+9q84u/6xHE0magtCROXRWpRemzFTZv8cFsS1r2IVVmhGcJnBRkUmagTxsaTGYXF+6aTtvatCkKv4rgM/PoCz1usHFC9su1ELnFWRgXAtJsZm8Q0w+0jRmlnT1pjKLiVul3x/C9MZxrd0J7RjDrG2q1mIpvNzdV0t5ZK22P432XKDZpRqtk/XBpcJc97WEwjwzyGXpvKHveNjVf7D+fvx+RKDK3B4spqEPBZS5LrFtiB0rGOYO7XszXnnb59EM1gtCFqpNr75y9y1Jp5DuO2l9DlZNkAeel6bsUYxbtf0PgBqOyqrrhWvFES6S2UiUDehw7VGsxb39Vn/se6nP/08rahkgQkkg49CmuXWYXlOVKxsplNW5SLs/rUmSazRRYNhfkpoMxFtxZT6gRaZGVKALRXKKUyC5bPfQQyAtGL3d/SSEYBDC/YljtGpuYkgbf0bQ6CafOa7RvWDcLzubZHoN6l6ZYxXEdfC+bnhoxCGOeOTLD+fmmZVUl8p12rVQZ7q3MB/SsAbdZw+bFiOHSSLYcRAVLD1mEWVApRnR3PglV569z1s4OVYDbScHtuRGrXcPnH6lx6ELFShNhS2JFpr0FpQlSZg248++UnYcM0C8vvIdxbtKrWCpYWyNVRhI/o/XiUiqkTpDaIQocdq2P+Na7uzx5wKMVpulXbfV4iCLbB0KSeuNDZbTFmmOwyZ0CbCno82aITJun7ppME0BCpHXjJrcMTelcmUyqZMFpDuD05yngy/2bGb6yEo2xOii3y589KuiGPp5S1By7LWQSJUxv0URK40w0u8TeKk01RzdQLHc0K/2YP/pKleNzdS6cU+ycCZmdsN6jSIcwWlZYy9yjwB6WIqWlvczaojwCrCRPSnagHA0w86mnehjkciSgzBI5ZRdF2k55TcJ/v7fK+z7VwAgnnZhbZm8K7T1kDa4FejlpMRQS/QXsXW71G/bCyzJlbSubztL2WqMTiZbWF1dSEyUuUml+4m09jp53ed+nHaK4ALlGEAiJ0iIfkkpakFXW4Dl9luRK3pQvTL7ikLK5LLO5KLG5LJwlUyI6kweGNlAla5OUArRJXRkx5IMraTmoWjGsm0y45+YBd924yvE5+KOvNOkHLhfaPisrgu1tgRyTOImJOLMYcd+jCc8fr/H5x+uASxz5jHuSLRM2vxUlBlebdApSulQwapWVQJAmRS4J9szbzhtV079f/nupLMln4l2KudP5eJlLMixPSk3DQ9ZgjJIRrhdx9KLk0w/U6XZdqKq17J3XfJdkkygSPPnqxdrXOfP8lRi8BPqSZCnPLdE6q/coAV1mQE93lU40UjpEUUKjHvO2V/f44sNVjl5I0692qiSJEPTLnzQDdypBM6ZGZtlNM1wjLlIpJdOx2ab4mZQZQ2c3QuGXZ46cKc1PSbNAmBTU2XuMsaW5UKiFlBQdZT9nb9Dk2m1wx+4u3/mKFRAh9z7h89gBQW1iJ5IGzmcen2H/Efj9P7mMql9hzLU7k9UahrqvaVaxSZ5MjpQvZrkeY6g4qpiTnTNeSV/ngeWapE4B5LItWGbyrKquGMxe0t85iycldrf7yeQsLm2BVRBp7nuizlefq9rh4NIl26mizN6ZH6+EoOhWL+vCYV83O0HiL0P2MKEPA71cXafT7GHmpKRbkVjdrQuZoiWJkKhEooUiChxed0PI627vc+YLLoGWqYawXl6MQyBsY7HUFDJFGMqpaZXzZyZP7L2S6W6rsDIdnn7uLF2f/azkqoj0BjDSINPiKLsCpL8jBblIbzSddu0XBGBdmyCSrHY8tB6jVqnge3b7wTfelPCmm7qsYogwOI3a7tWJivji3bur3xFFsR2dIbLlQOCne0i6TtbkW+6wybzqtdV+Q+Adsv7KsqXQ2qL052oI6GUW1xRuii45J3qNDi/XmDipayKV7dSRXsyDT3u854NjJMYpnBOpEELafYDy8dCjzbwlkMtLs/dfIYlZIDsDxRqZYobkiqZouDVaoMUlNLm03rjQDnGs8byEn/uhNofOOjz4lER7IoWs/QKRVvSHBFUKclnIlfIXKbzw9LqXAG1KkiQLJLOAtSxbsvr0LGEkM9O83P2fZkKFtgSSVRQaDTqBKLbunsDKr07PRSkNwm51b1jPlVdv/eLmLZevqit3beqacPnYREP+uCOS0nbWdu/Iim/3j3TT7T5cle3jktVmZ+WrJu+wyd6PNiMMPw//ucyLpsoW4HDxlD108bORwDKXJnI4LV8kdGyv5dllwXs+PMYjz9XtpjzStqMhXRwpqErwJekmV2Zt7fbQkTZA50NyhocRZTXvUo00TJdWveK9KJUqjJQrlAgji2NEaYXMEyjl3RYMTE/F+I7hyX0eq305stTIfIq4zGQV5Tt09O4cNjsv3YNb+nMsUA2jYawo/ftMZxe+Dnm+UozY0eVWwHSL8tim53sDh3bXZXHFYaFV5/Dx1g8+/fyRQ85V2w2Ok7CyKsB49AaaONa2FFZkuyUUs7Wzgv3hi2xKF7nkNqiRgPKSjF36s/KFzZhaFBq8rLlzFh9i7wzco5o7ToPMmMRL+PBnx/jM1+uYigKh7AcXjmVvWWhvZw17v7w9OLQX5iWuefnHeYJnmMgLmQJDgebwbJA0yJRmSIsbo4saFaGQWpMIB9lPePs9fV467vLe9zuEfjxk1BvtEmQo0lkpRpqCzFL06afMZIhKZUVWIZ07KplsEbY8Nt8YJPPKpWVwk6bvZfrfyWTJ8Bmx/0AIWx8mBEhtq1qz8xPHgkBZU1NrCGM7U3OpHREkCVKAc2ExRgiIIkPFkygliSJNnNjNQ62rkU6NSgfKD3XZlPoh1ZBEyXS4KWnw4bR7LlGEHmGusg6/BMBLGyIVW9wlBchTvS1TzS1LtSf3P+XzwS/UGSTpFHyRHXYT07zmpHwD5sfwLhSXrLlh+Pkv0yomDe4y73lNRhOzpoTWyFJmU5acFWkBbqT1xXW6iZPvan7oLV0e2+tx/3PWLsy8caRAG4dA23a0omJqRKaUEkCF/128z0FOIUfAAj1zTYokkT05Jmupy2QOWdlwtqtIefxzepOld5XWECtLMhiIEovhIDRMjIHr2uldztEz9i9XfcPshKGGpDdQBJHVeyJdOh2Vzd++BLhLMiTvssmdkcICLLa6sP8u32tFjrD3EGunO3plVqAoa/GMtcs2YQHs4ohRTkQvgF/5wBjHz/kYp9gtOXNOrPYm39Xtkokd1oK4HHwPZXqGlvu1IB+dCDac0SwXX5X1+NraFAvsNPAUikSnEiXRCOEgw4Qdm2L+zY+0eOxf+nQGGWMXUkSjCIwgH70sh0FuAVp+bVd3O6w21du6ALqtrja57539G1t9mN4EslgJ8r7evLoxu7lGZ5yLtBGj6N43GoJI0x8kaA2b1gumJyzbO7deN4vBwRUtxvxzdAcOR8/6hLGdqZ2PSStNjco72eVacJc7bkQuMcoypGQJplagKAWW2RhepcqgLzN2+WfJJSVKmcmltLo7TuC/fbLBcwcr1vNO0/HZs0oDy6IdzeRjfy+ZqR1hbvuDrFpOvCxfr2HyEeekaIBIl/sczGZttaGwDJ4HnRmjJxIt0iNRVqpow417In7q77X4T38yTphIIM6lCkaQoBgk5KDOQG6wrocdgGnLb/OgOJUaKgVqVmRVrk3Jkj9poWCe9JEUwWburcviv51Zl1lHv8lcJEmens8mGYSx4eR8QrsTU2tMIL0xgjDGueXO19CoN9n74tN8+evPM1kbZ9CTSOGhvOEBO5k7km8lfQnmHpIVJWelvFnRkBQps7o0pZui2PBIZpZgib0teEczlcNFVEqmgWUl4StP+PzBJxu0+q71AEsgF0Lk7O2U3ZNyA0apXuZS6flyaJSxYilUWiO4zfDbYbwPAd1QTgAVrJ1OhdWmpMdTJheWzROpkEajtUMSa5oVzY++s8cz+33ue1xBLUWbTj+lhASFnTycgksK3EyL55LEViYqk6brU7cki1dI2byseExeVivSpE9J1qS/J7uh82Ku9KYfyqYabW/iNJCXBhxXMNGUXFGJqbgXeMvrXsHOnbfS77dxWr0KyvU5eaHGlx4eY/fmKpetF4w3WeOU5JuyqixtnhrvI+w9FEyOFkyVNfnI3i7lgDLbCHSN/hbW774kuEuHlJa9pRNz8KTDb3+8ydElN933PtuZOdXea9ibS0sURpibErBFoUbyQP9Sj2zlHalFKVi8SKzkjRAMB5tDzckjhVjG6HxTWZFJFqERUiEjzc7JhH/4nR1OXnQ4ck5gnLLAsl801qkkSBMwhUyxn8XJgkuR6vKyNJHCzivMQFwCs21KzhJ6YkS7ZyPj7GslSno8A7sy+aiKLOHlKEmsYMyHa3c4bJrx2b7FZ3zMp1kNcdZNKJoNxa5NLq+8xqdRc2nUFNWKlShDHeyC0mZEJQ0+xMjDIJcjf5ZvCSdGWd5q7VGg5/p7zW67w+DOt5eWcS5NPD/mYkvwK+9v8umv1TBuKR1/CfYudlS+hOc9elBgopyxLDN68cNhwA+x9gjYGQL7y/vihXQpLd3aWGCn51inyR8hHHRiiDG4UvP2e/q0AsnP/oZiblWAP8rkzhDIRSpT3FxGgNH2XGXMrkoaXEvL5plbUpYuGagtiYm8ItPKmlI3kTRD3fxZyYKUltGlNvnUNa0ly0iSMxWOnJolbjS4vOLS7/k4k2OSsTH34uyU+vINV657Y7fbpVIReXCYXSjJWo2dt5CNSo7SzzI7MNtqbmhfxTX2YAHotT8b3it9FNyZDZiB23ViQjSfe7TOV56qpbUmmeaWI+xNMUS+xN5DNTajzF1i9QzEYgTIOeAvpUVG5MqaOYVZeapOA7ih+pRCpsisCUIIhEizm6mzYudLqvRnEpFWHPqO4Q23DnjrK3p89AuSMBZp0U1xw8EwyD1b85oyepGNNDqzDbPyiyJnk2nrISfFxqUoQ14+O5ogkgZbuShS12WkZS4b1ZaV+Q5CTW8gWG0bms1xllriy1sT92JnIFDv/fX/wju/445VzzGrjerge5WZo1kT+G5h5ZW1dzZkJxu+U34uJ2ay+dzljveyrMkrAy9RApu5InnqXY28zwPLEXBnEsWJSaTmsw9V+f//3hgnLvpFE0N+OAgp8CVUpMnnnTiy+OxDPn8WZIsi8C5vq2J/Lsm3VRHDQ/rtpC45nLjJnLrRo3xzybUrSe7LZ6UP2IygYPjfF90zpogTBKANk82YKy+POTOnOHLKsYPk87LVgtl07oOLvC57eGkq36tiSHZlq0ye2BmVY4zc1HntSfm/MTzFJe98SofChpGdj9Lpa+aXBqzfuJVGc+yfHTh09IlvfeMr7R496yaXUMqjKpZoyGUQddo9l4tLPr3A3lpCpN3sYm13TaGvU1aWWSFVyQLMArUSaw//eclFGWLy0v7oUiPFpcCdMXls2dtNOLEo+YNP1Tl0zId6mtDJDrmWvcvtaOW69VG3JD+y6rdS9m+NVFnD5GboYq9VKgI7jL7E7iUXRZaBkLG5Tms+tEjLVO0hShai0CpNmNiJWForokCzZ2fED72jw1MvepxcyJZpMbR3bMbkJk3G6CxRI9MNEUQ2q9Ck9qAYkncylSbZ4FQrV0z+86xJWZbZO7UN7Yhmk0oUkW6jYlL2t+eiHxouLkM7EHQHUJ0JqU326A9Km1BNr9+DdGpUvD519TQP7+9w8OQs0/UKMmWHMiuXQT2kt0uALQeSYiSYHAouRzV57paUAk1RAnhqDWavy4eSdkrVckfwXz7a5IHnKrZKMPO702pBhGXa0ZqT8r6OQ5WSlwC6HHl/yZjy5QLNMuuZgrFy56Sc8CmB3EqWdNlPASxFZiGKdEi9QAurw62bkt46wiBFGnSm75Oe4Z4bAn7m+9v8uw+Ms9Ir3JRcS1hDm0RLBumPjBBoDG7ayGDSDKXWRRyTZTPXAt2ueJcEeunv6DT7mRWDSWV/j0oDXpVuhNCswWWbW7xwNubrext8+2VbeMXtV7HaHhQA9+qbQF1x32MPfvk99z4487MPPw8bmz637JbMTAiqfjrY0tFDkmM468hads4twWLv8UsDG8QQYxfgLtwUXTB4HlSm7C3iPLgcCMPvfqrB+z/ZoJO4tmUrc0xKgaUjsKMgZKG7L+WclLOXOVOXwFsu27DdMfISC/hfAvISmAvWLtmFQz8vFWCZrLGgsBAz5paySOuLFOgW+PbQRpHEhoYb8ePv7DC3pPjNjzbp66EvlDK5ARw0kkBbIGZFVFraDWNlCdgmMw5Ipw9fAuhZArF8jodugmzTqxLQdTqgH6x97XqCmXGHW6+p8u2vmuPNd8CAc+957Z3fe9/eQ6cKgAtnF9/xI7/YU1KeWF6aYVz1WTfu5ZfIUcWOZFlT76UALi4pNUrFPyWQr2HuHPQF0MUQoyc5wGVZnogic2kczUtHPP74vhrtyAFPARnAZf4sSMGds3chozK36JKZSrH2GYbBP4qNvwrUs3R9mc1zrUlWh5LKgEyiUDgr2aAgIaUNwnJ2l2hh0hHG1ka0csVYuSJsb2PDj/meN3T58uMezx+2zGvplJFkooNBEpFW9qWMrkUaaKbOiWViUTSSi2HpIkaBPiJrhsBeArrSdjsVsIRr73zJ3GKTqit51dUSv7pwYu/DP9e74ZXvKQAO8K/+wdupVio8+NAj7Nv3HOunXcbqUPU1vqfx0232ijrsQn7k/nb+Mz0EeJGDNwN4idGFLmnesoOiEaXkTq7FRQFuWdLdyk3Yd9zjp94zwQtHfIwrS3q7qDchtwXNy7L3UK1J+f0aWTLcuZPfCCWE/1VYfMhNYQTka+zClNXSWupsPrvOdmEQ0lqEad24yGzD3H0wiBToWqTb/IWG666I+K2fXeXH/73ghaNpcJLrBvH/tvfe4ZJc5bnvb62KHXeYvSfnGc0oa4SykAAlhDDRyAgbc47BNsZyPLbBhONwfW2MuU7IiXtMsuECMgILIZAlhAAJoRyQNAojTR7NaPJOnSqsdf5YFVb33jOSSBKcW8/T093VtXuqqt/66v3eL1kgd9A4xGTdX7Uo+sYoAa6VN59mwDeULqespTQ4WBlVjI7MwJ5ziwSM5AAAPjdJREFUbZmNFneExikmqxkcTrUSnt7vMd0KOHVoAycffzZRrwsMAHzZklHCsMLyxXUO73MZHYJGNaVWSQn9tAD3LP48l+W2LLZtpYUFdoG1jn6rL0QGbFFSE/O9aZZJmGZAN+B2vZQZLfnotVW+92hA6g44lSKbcyKMVfHsYoYB620DebDv4GA74r5UzhzNg1LhURBup5vqgRfartO00F9a9n5tHHQxP0dpgcjC90KUtEUIkQFeItCkwjH3CKFwE8WG43q86/Ut3vv3HjOJAC/bJwX5qG0yRQZhKoMUWWtjYXRy4zCKwmjkPFsgCmmwBLUo/Fp7ff5Zmv1XZqJb+ZmTmiY/iVIkWafZiSnFqpkQ1x8lTjvFeS0A7roerhtsHhmpblm9LFxd8VrUKgrfK/uL5D9i2cSlH8QFQMkVFWVtZ4F5cN0AsEvLPqikpJYVz0LxXkpbCT755RrX3FKj5+SOpNsPcEru7Vkn0ta87eqkOTMFB1QyYf3TX66WrxtE+7ODPB++lGcW2oEgBUXww7bo2gJw37xNbSiLVhlV0TorJCiteqolKIdUaPwk4fIL2zy+w+WT19ZpxZQgp+BJ2XuZWXNDWRSQYDraunZGZgFibdJeEQUF7KMr2N23Sh4uMN/RlxIhNDLSeI6g3VVMt1LGR6tIJ9gSBv7mOI5nA3zBgkXsevLLX1+9zPvssOP+T+KDVEOBlIpuJIlTmfWrloW1mQusOcDFgBWnUCj6aYvIPivX5SBXfVTFybi3sCiK6ypmIsEnv1bjgx9rsH/CzjOxQC4dsB3LvoilZTmg7xZZlKYxAPbcwg9w8Rz1s9Y9y2I7lBamDR3B/Pj9VEVjj44xr0Uf0Iue3SLLickCQYUjnOWsgJNFPTUpmgWjCR/45SnQ8Kmv1pkxvYPKReUnQ2YcXZfWPKMlMQJPW1MwGKAqBUWxIpkFVoRlxfWsc2nSEAS9VNKJzfe7JJwxMo/ppPbZz1x7+9ff9bbLZgMcYKiZImR4Qzj/8Guf2j55yoGDZqT36oWQqgqdXkCaOn1WZy7A9oGeLMjQZ8UpgJ3fDUoublnwnHuLnKbk4DaKiQg0191S5S8/1mDvhGe4x4BDaZ7NSXMHwN2vmpT0ZJYEmNMTG+hWcmy5/vkQ7zmATgn0kprMLnyYZcGVLrTkvFg5V1dyK15Y8zxBS5hm8kKb8H5mQ0kiycIhxQd+eZpD05LPfq0OYXZS+hbHWPTs7kjWFC7VgjQDutQG2Abg5rQ4lkUvnrOLsPgdivUyO9c6u7YEUQqTkUDRZc3iDlJoepHHzin1vcSt3tDqdvr2sg/gjQU/y19f9RvflZL7br579JS9h4zcd/nLJnjHpW2SNFMhsw6LxoLrrC1uCdxBMOcWOrf6OeChvDhgLrqiLKqSU5MsqONrNj/t8pmv1XjmgAdhVlIkB/m3sb85NXH7QD2QTDVoOfrASz/nnsW3hfWvbQD6pUTbOtvSYIFwy4JjJ1plH5SBnsHInrHWUmV9uZVECWX4t84ttrScTF06mTiZtq4RSpNEsHAs4a2XtbnzIZ8tuz3wc5Br62HJLDo3KCaao3J+btG6IrZASUnMZVUG2soLwFJdMgqoNXRSQTuOeOer9/Fz58cIBBNtnyd2P3Pf1O7Pfvf3f+sfjwxwgI17TkZKweGJzajODEJKvvdEwPR5h1GZxJRLd0Iqc93OoiUDljoDubCey3Zhg38Hgtxi5yBPM2ueBXl8zZY9Ln/8z0N86/7QFFBK22Lb/LvfeudRy0LC4sjKSbFOlq9tBOeKiZhzff+ttS8YZKO6L0xt9yQZuAisMLZ57qcpuk8Lx7LimdNZWPBSL8+5uNAalGN+m+w/UF3NBS/p8WdXTvFH/9xk6x4MHxdkjqY251xnVlxkaYF5mNd0w7cuYgP4Io5gnR9hcXAns/ZurqRknD2PlPtSM68iOG1Vk0AEaKVZuyjgnFOXo7Xm9wfwPAvg7377pTiOG1133bVs27wZ13VYNO6ze7/DSLOD7yVFolNOKwYdxALElK9L82a37rXoC7r/uaAsGVXJlRMPtu93+ZOPNrnm5gqRyHJ6B6129sgdy0LzpuTcDlgq0ACobSs9h0Xus+QcefvvZ7E7zZKD21JU5qQpuaJiqyu5cylyR1QW51gLU9JlOLtEaG0MWPb7pGhCN+XnLu6QKvijf2qyY3+OGOtWU7xWxd3SxPUHT0h5oux8lXybNHNeitRjjOToCsM8Awy4a65mtC556PFR9h/wEChWr1nNshNeE6VpCrzn6ABft2IMx6+95/j1K44T8b6Xu6LL/JGUVElTKiQVnptn7aVWpLIEJ/brZ1lmWXIL4Dk9MU5minRhxwGX917V5EvfqBpwO9IC9oBykllvT+bpsLZyMkcqLP1e/JFUlP7ChgFLTX+k8/khuz9sX4D9iMDWRWmbsci545Z/NhgQElnQR2ZTh2U2BtK+IJzMikuSVOOR8pZXdnAdeN9VTXYcoKwmLuTDnK6ozIqr4sJ81hPRFwqWWYTUeEKpkETCyIuJLlsru0Kza19Kq6NZMBYyMm/xt+tDy95zaKI36+tnAdwN6nzpK9+Yhsomz3PPG60mzuhQRK0SEfjm4blxZsFTix9bqgiqBG5WJFqy2vKWWwK7/EVFzrkLK55dPC7smXD5wD81+dLNVaI8xVEYRldY7eK1sQSGe5cRy0KigrLQOQeuLIENVpqs/bDelA7nwM8oxHPGtw3cYp0dqh/g4bnFBm3REKuEzFJVVA7iTBLM88a17WwiCx/IjDIWCCRCOMbCpxoXxeUXdUhS+MOrhnjmcA7ybCdlHgXKQW4R776DHbh6+7iaKO8ARdmUCSolStLOuni5UhL2IJxJESgWL3DT8bHqpo3fu3n6xA2XPDvA8/0QqnXlyiXhGVUn2jB/ZIbRZot6tY3vR0iRorMyjrK6xljy4ooWugRxJu3kDWryK7s43kJ8mIOeoBEOJK7kY9dVuObGCpGUcziT/dSEjNN5Fq8rLLhFU3LVJK8R7JMAbQVF9INZ2NbHckDn4uJHA/fR3heY0LZR0LMqfEreXU5Iy3l2n/W2gkB5AEhY1MXknpfOpsDUP0qlcdH83KUdNm3z+KtP1EkgqyXTVuOeQkPsM2Dlwahywmve5X8ukEvrd3QE4KC0pI1Lt+fSiiWdWJIomO5WHj5wsHXl/LH6nOd4ToC/6XUX8b27r061XqJ160Ea9Ul2HkzY8bjCcxLWLIk5bkWC72lmupAmms07HXbs9chbAuS/jlIwPpxywpqEiq/xQ1CROeHkjE9nx5ZdGDKLruX+Cq7g698NuPqmKr3czNpWu3iU1CS33iWwByiJxNLxj0BFBpSTfOWs9RZl+X5peJ8DOdd72wktVBQKmjKr8oe8DUN/1qEYsOL5upKLK2u9GWIvlLHMgdJc8coO9z7uctMdocVARHYVSuu9KI8kvxJj8D1FJVCcuDZi3nCaZTuWi5SCnXtdNu/0UVoy05V4rubYlTErF6cI6bFtb5XdByuEXZflK1bqx7ZG6QUXXTLneZ0T4ADrjz+LKGpd/Y1v3LLutm9N1W5/ZJzvbQ7RKmbDskl+/uJJ1q6M+c59AVMdh7seC3hoq4/jWD+xNsOTVsyPufglPVaviHj1eV2OX5oY7z7JKIvOJbaMv+eG0QHhCq7/ToX3fKTBY9v8LJCTy3+Dr2WBxCLXm/4QsB1omDPfZBb1mA3eQYVw8Pk5oXwgsGPftfMwPZTO5aCqktNfw50pml/mabMmrXZQXbGse6GgiEJlMZ9loM5zV9Ao6ZgpDanmxNURf/u7U7zb0Xzttoqx4nmzwuIgrDYPGkg1aMVxy2MuO6/DmuUJl5zWY/m4Ik1F8fsjTGLfw1sc7nrcY7Ijue3+gHUrYt5yUY/jl7gkic9DWzp851GY7KxtveL806+uhNUjnuaj/gzXXPe5yoGJzuMf/vh3l4u0iu8K9rUiovYE1aBFLdTs2u0TpZ7J3MvVjOJHVKBT0zAuSqnWEl52Upffeus0F5/Rw5calTLrLgUiqyoTXHdbyPv/scHGLb7xFqVtqe1oZZ4Oa6bB+cKoh74w7dfy/JOiYicruysKjfPiaWHXoZat2cpxhqKs4skrfJy8HZvMSvnKap48/9lx+lu3ld9ndQgrxiMOdCsouhdYhSbZ0C0zJKC/QsqVquhEULSXzqqg+ou1+xuV5n1mpEyzyHGSrU8yPysxGZ4+PLLN533/0OD6W8MyuDDrUjdUxJeKi87s8Zu/MMMrTuxRrYHqOaSxW4xGLOyCUHhegvRTeipl1x6XaqgIPZfW1AL2Hx4h8BSJmiQKL9uhRf3YM8/+hc6RMHxECw6wZvXpjExMcdqqJ/Dp4vuSWqPHeWcd4K5HFJ+4eojIC6AaYPr7lYGVLMQGKgE3Ai+mHQu+fo/gyV0Ol1/Y4dff0mLF/ARVpA6I0tdwBNfdFvD+f2iwcYtnzLEoGLNFSwQ27yYLFLiZ9S4oCgO53YPWG8tyz1JNZlvwfPvc2bQ36Hc45zYjc/Pt3HL3bzNYqwmKUh6krE7PNWydFQoXuSmlJe/LVbEkwlmfC4FGonLqoY1SIrVCx5oTV0V88Den0cBXbwsomp3k1EQYSrJ8QcK73tLizRd0WLkoQSSS3rRHknqkyiVNXdONi/wuqpBRituJ8cOIsXkJH7+6we0PNXnphgZ1fwjPcVg0fwGnnrOBsNI8GoSPDvD544t63Xb7XReetfILU4eeqi0Y1axeCqedAnEv4XNVyWQ7BLeCI108aXRLIUxmW6wdYuWiUxPKxYNUajbv9rnqcw6xgvf+aovxmjKWPDtILeGG20Pe9w91Hs3B3d+UxAL67FxvJ3Ms56rGsSOVRUgei2/b6xB9YMdyNkvHOLsobenwWeiJPsq6uVSV8sOSY6Ot1hLFBTCgidtOJ6VzWejliFkUpiiQsPi6UWxy59Y4o8Rw0uqYv/qtaZSCG74bZOpEdvAxjNUVv/3WFlde0aIiFGlXEqceceqTJB5x4pEkXiFBm0Q3cxfxXAcngXZX88CmkC/fPs7OQz7r5ytGmhq/vrYVJ+G7Fowu6XGU5agArzhT6oRjV92zcpGe2vrIA7VGpc284Q7dGcUjm3ym4wC8kMBzqTsQOsqkg2BoV5QKZlJJCy9TXRIDRl/R6Uqu+3bIq86LuPiMiGxgBErAjXf4vPvv6zy21TPRM2nbTCuIYMtKGbCkMAd1xJF/1rpB7bsP3H2O5YAhnuOimBWyty6AI+HdttCDqO9zHIUF2Pwz60IoPiu4eO6QihL4Kp85b4BdcnJTWCwGAN8nKZJtK/Jku0wFiTUnrI75f353Gq3h63cEpLkGjmDD8RGve1mXiqNQ3Xxas0OaukRxQBR79GKPNHXM/kDRETj1TIF2zU057pgI7+6Ex/aEHJhWjDUd3vLWc6eGRlbes2PXtOIoizzahyPz5tFoNA4cbnUvf2jfKfGnbp7GC/cz0e1yz8NVWlGNMPAY9WDU14wEmuFQMRwqRkLNSKgY9hShY1va7Of2NZufdnjf39e582EPIQ24b7nH5/f+tsFj29wsNDxoWi1gF5pp+b15Yk/hSDIH0O2vsqW/AcVEcKRChxLQffTF/twCeR/+B0Fu55/Y+ncemre2K5Ov8sKHsuq9jGLaQB2w7sxNVbDfM3ud0rnaVVr+fJ9UDMevTPi735vmFWdGJudbw1knR3zod2ZYsyRFRVb0MpvvGScunV5AuxMy084fAa12SLsb0OmFtLshnudz1sk9FtSmkOkBrrh4J3905ZrY87uXN5qNA6Pzxo4G4aMDXIiAjY9vZ2TkmKdHhk/dcv/jK7np/gAvgNQJEG7AiAcjgaIZKpoVzVCoGa5oRqqK4Yqm6WuD0wTTAjRRkOgi6HX/ox5/8+ka2ycEN93p81sfbrBpm5sX09nwGXgvZ5nZQvcuEnf6QW33N5ED72dbdjE3faG0yrZcePTl+QuHhbJylEhmEfnMlRVLXi7avFnNgVQf6G0uLucE/iDoC0m3iGGY/1gnsG5lwj++Z4qLz45YPqT5g7e1OfX4GKGEaavtYMapu4kZQaIdOr2AyVbIxEzI5EzIVCtkuh0w0w5pdUI6vZC4FyITl7inuOjkDm88d4zzT92w5cR1a5+emdxOo+of9TwelaIASOnwpa/esb1Saf7q5a88+dZFlT08uUVwsBXSDGQGbk3F1wSemQph+qkI4sQEbiaSCE/PgNsxTqdWKK1pdQSRhlvu87j19oCPfL7KpqdcdFgI40cA+SDyzHsbtA5HoR7YlljPablnvc+59gBXGfzseUE5O8z+uN5A3okFdpubD0Yuhe7fpr/tWdkGrQz0lEOuRB/grbvBHNY8z2ERuSoozEGIRLB+TcKfXznDRz5f5cKXxEgJkYCZtum6JTSQJqRRj1a3zsR0yKGpkDgxvlNe+xsGKUkqQUM1SGhUYlat9Ni2r8F0ejquE/3qwae/tX3ewjOe9RQ/K8CPX7+MbrdNEFT27N4mb4sP3n7+P13X5ck9NZY3jbWuVzTVQBB6At8TeK7EdY0stmR+yutX76NRPQzEWdtcUKng7gc9Nm93WbwkZe3KhEvOjIg7god3OOW9ZVY+yyA5FgX8beeyTMvsdy6xwHvkAM9A5PJIyotlvfv4+fOpdsjBbeWe2CpbQVdEnluiB6wwzMoXL7h4rpPnioouaUZR6jZIaWxg5xeg6N+p4kApz6cDD292uflun6e2u3z9Ho+lix2e2u5w94MeaZL1HxcSpT18L2DdwgpK+aaFhwO+pwk8RRg5xLEpsHEcxcqFXV5xaodrvrWcNqfcVp9/9h6n0aFarT7reX1WgAOEYZXO5DefWry4dtXj08edv2nXXcwLHcZriuGaphZKqqEg9CVB4BB6kiCQ1CuwaEzz0lMkS+YL/DBBeD0THPAFJx0TcP23A956WZeT18ecsjbl4pf2+ODHanzz7sDs3SBW7PQ9K1NEiDwkr8uw+yD1YICGZOmyffcGG7wMXEvZD9u3HuuPB3ZTWLs7l23X9gtBn0Uv+XIJXixgMwhsykB5/rdZN+1+ZxN9VCqS048+js6Rj0EIgXDglnt9PvivNe541KXTFnzwYzV+4bIuX/12wG13BlkMwwW3gvBrLBlxOP9YxYLRhFrFIQwMfkJfUIkkcSJIUvP/VYKYFWOTvP7S1bT00FWfuvaep97+xjOfk+F4TgAHCJsrgMY9u1vta30/fcPixnbGmg6NiqRacagEDmEgqQSSSiiohZqhesr80ZTpdoUDE3UatZSKn+BVE57a6fLxL1T51oMeP//qLkIJaoHiwjMihqqa914luOXO0CTaO4N7M4CuAUtry3/Ssj+z8r4ZeD9gkW0H1ObqRcgei4+T1WAeBdB94M4UtUE1sI97i/71JZj7e2jPVe2jsvpLQysoOmMZOnOE1FuVZ/LlDq4or7g5FiFA+HDzXT7vu6rO/Rs9lANIjQO85dIuC+crdu932bzbMU2YPJ9K4NMMFQcmEkDTrCqqoUMYmplQlUjQi80jTgVaJ5x/2hpeWl9/7YFk7T2eOPRcYfvcAS7Eau586Jnt69a//HfWL3vSCaL9r/WdpAB3DuxqoKmGilolpVmLaVR7BF5sUl/ReB5s3u3ypx9t8MWbKiRa87VvB6xbllB1NCKF04+L+OBvT/MBCbfcGxgtdq7UW4sKSAYoCYPA1czi1XMpKZmz2nf7PVKylYVj25jPjt0fDeklnRgEdn4hzKIpmox2lIGefBrHkelLHtiZHb6XDKoj/bck+zNzTrJsUSH4+h0BH/inBvc95qMzf6/qai57eY8l81OueGUHqTV/+tEhtuz1wDUxkm4imO4K3GlFmmp6kaISScLAoRdIepGk03NodwRJOkZ9bPlXTj3uvN9B7dkhnBXPGeDyOW8JnH3yQnY/ec+ON152+iNnbljG2LDD6JDHSNNhpAmjTcXoUMpoM2a0GTHc6FGv9giDCN+PqFYith2AP/noENfcXKcrHJJE8sATLp3Y/DI61RBpzjqhxzsvb7FsREFs//oDQM/lwUw9GaQaR8wxsZ3LuYA8h1XPqVBRn3lElaUf24NZhvoIFnFOjduS5PosNDaIYbaGneWoWDRjkGfbkmNfZZF9kQzsYX4Y0ofthx3+9Qs17nk4QHvC5B0gqbiSU9cnuI4iVIo3X9zm/3rXBCvHu9CNiZKUqVgw1RVMtDHTtWdSJqYTJqdjJqYTJqYSDk1qnt6XMhUtpjpy5iMbH37oeYEbnocFz5dVKxYxvmDxXx0+sGN14Mxc0ZqZIgw0tcxqV4OUSphQDWOqlR61sEet0sZ329z5GHz0y6N84ZYGkXRApAhili5QeGh0mlkZNE5Xc9kZPR74mTb/+IU6M5GcY29FcZUWYSBhB3WsZ45k2Z/lYrDB3GfVrV3oA3pp0p9LVngBZtG/Mvfx8piKyOHVV6I2x+u+i8QuisiVk35HFZt/F7nm1hWpxaw9dhzFTFvw2a9VuOGerGTQKZIXiHXC03sdVCRIIwcpJJdfkKDTw/zzlzUPbJZM9BoIIUm1Ik6gF0M1UnQjTSVSRLHEcwVDQ0M0R5ZevWr1KX/19O6nny9cn58FB5i/cBn33PnNyZUrVrxDSO87lVAwVDNWe95Qj/mjbcZHWgw3WwzVWjTrM/jBNJ+5WfDG9y/g6m+NE/lDEDRAVBkadrjikg4NTxAnHmnqkSqPJHZoVBS/9qYWpx0TZwORFH1evIXzPmDCLOfRdi6xgz3MAXT6v2uu9Qbolkw4e6+OsMKCip793ubGZR64dSEwl+Xu17aVHtw2d0rnciwH1g9w+sFDEUKDhHuf9Phf19SZaWeDdEU2b9TxmIo8Pn9jhcMTDqkKaXdqRN0ab3oZfPmDB/jvr9xLkExxsJ2ypy15pu3wzJTkmUnJgWmYmNFMtVKSFIYa4XcWL176jpu+fuPk6lVLnzfAn7cFBzjznIu5/8EH2qedfUn04D1foVk7wPzRLqPNNkJ2qQQR1TDB82JSevz7f/n80SfGmOg2cf2QqmN0z67wCIIOoZQkcYUoNt6klApXxoieZuWChNdd1OF7TwVMRIN7XMJrtiR4ZEs9V5Bnbnoi5ngtCnWyD/AW8m2Z8DnX9thKShGez637QOsIMWChhfVamX0ZdDZFX1HEQOSzL7+8n2jpvh00LGSyK/jyLRW273UhcCh6rotsijIJ7TSm3fWQ1Gh1AwTguTHVsMP//Y5pXKH5txsSpmZqTLkejUBT8wWHOpKxGoyrhHWravzsGy6JhJTt8176qu8Hqt8fwAGGx1eitbpLeeN63vCO88ZHDwfb9vX4xv0OQ/WEN543Q08p/uuukA9+ej6TvWHqFZ+mB3VP4TlwqONw6VkwVKsx1XLN4KJspmVe3Oo4ESPNFE/q0qwNMEPbsSzEriPVVqLnpicMWGwGLhAGtrOAPhgMwvqeZ8VzH2BLh1McYf1gUYPK6jDtC6JPKSnyxfur7/vkwhzYxeu5+DfmzicVsRYcnnLMoMowHywQgPRwshkjB6Yk19+hufS0GlMtH89NCfyYKHFp1hz++Jda+G7KTXfV6aaS150XUak5fPPeBlt21wnCgJeff0pn7bpld0v5vInGDw7w1UtGAN6/6b5316fbtSc+fsOBxTffP872ZyqkacJ0ZxcHJ2L+/aZ5tJJhGhWfsVDTDBR1HyoBLJunOXPVEDOtgCRO8L0Y34uMw5I1/1FRwgkrYxYuTNi/1evfCQtMds5JKREaQM85QGoAvLPBLI5q3SkAPMe0tQGnck6gZ6AV+ev8QApgz1FJjx15tEFfWnqlKVJly21tLVwXkqDK4gA20PNA0KyTTCke7t7j8uhW39QACDejJj6+49BwNTUXKl6N+x6tsWxE4LmaaphQDSPixEFryVAN/vjtM6xeFrHvUMCv/UxAkrq88pRpvnr3FIeiM7vrT3jV30/NVP/nyFD44wd4cdDVVdGO3fHHbn909L1OdNA/fbnD0JDHOceGTLQjrvtOQNrxmReY5KtGRdMIBc2aZGzYI45Cdu4NGB/u0KiapuV5s3slU5LI4fTjE9asiNm4tVJOfLYQVVrv2WCdi67MbvQzG8DSAmz+35X5KVlqpyjf29v2nZ+jMRQ7akl5byoATBnZ1BZtKS10pnErc1dSlrZuW/E8lG/3RZFFKN/OOLSrgOh3QIt9FDy13eWeR33TbEkYiuJKA+4R3yTcjTfBx+exbR4LRlOadYc4kaTKkDbfTekmEbc9WGViah6rx+qMNnyGGj1+441BdP/TjQ9f/80v/8WVv/j2o2YL/sgBfsN3FkRBpfmhV5+zPTq4p/dnWkfy+FWSE5YFPLTTwQ08hlIYzpKxGlVBsyoZqrsM1V1cVxPFDt3IJfBcPDchdR2U45i5j1qCSV+xYVMgo7DUNmDRs3K9hSjbgg3Skj6wUwK+6IA6aL3nUFQyY97veD4H+q0HrTeZZbe4t9JkA5kGqUi2Hbm1tgGtLKpRdsAq8rz77hBlznjevr9P+x5ghXlBShGjFxJfQsXRhK4i9DW+J0gSxcSMxnUd09dSmXuAFJowSOhEXQ63QjZuGeaWmsOapQ7DQ3VFZdWfnXfy0r89eGg6+kHx+f2Tm2z57V99EyesEJ0Lzj322nPP2aDHh2HJ/B5C9vjirQ0OT4eMVhSNUNOoCBoVQb3iUK86VEOB72Y1KsrMdswftnTVv/SjrMgaZA5+jc6Ki2fz60H60WfhJbMsetHB6kjWuwB2vo/Pw8HEAjcl5ShC8yq7wOeMWIpym76MQcs6q7KCp2+gbF84XhQ7kPPxvtSAue9PZGcGV5SDvGRGneJE0e4oplsw1ZZMt12mWx4znYDJmQrNasgbzu8Si4gd+xP2HYxZtPRELSvrrn3wCdk5/tTLf1B4/uAWHGDRoiU0h8efDILKlYvndf+lqm+UX7w95esPjDEcOIxUVQZsQa3iUK+61EJJJdQEvtFV80So3FDMJVHNBrlZb1fvDLaCKC207gcvDOSlWICnH/xiAPxyLuvNbIWl3NvZ4LCPrwjJ53p3QTNMSzOdVUihMV1k0f0UBLLiYV3SG+t97syW4050H9Bl39+UnWqNkSlddztdtv+3KO9o+QWaKogS6PZS2l2B6zg40szszGtEK0GdC0+Z4IHz9vPNexfw2mPPUGvXrrly5aqVT+7du/+HAc0fDsDXrD2Ovbufik46+SUf/+K1d1Vvu3/47/7zVg83qbCkqRiqQqMiqIYOtYpLNZRUK8JMj/AUnmPN4bF6FIJ5rQfbvRbQHuxIOtuKzw3iIwFY9FtvBjl6Dv45rPeggzmA6b63g9y7CORQFKcXKkvuSGJZczmgluTUQ+V5J2S9wOfKU9F99KQvFdZWVaAAdCknymKHpdamXjPbWaUFqdamu6yCONH0Yk03UnidFEfKbLyiREqvOMfzR+HK1xzgkrMiqs2Z3z/ttNM//uhjT6YnHH/8iwfgAAsWr+V7T+xKTzvzis1PT6+bXrHx5oYbTVGryMxyS+pVh1rFoVYVJvIZpoSBwvdTfE9l83/srrIa11Xs3OOw96CD6is4LjMI83EY/YC2c09mS4ZHG1cyCP68Mr6f0vSDuvR57eSruZ3MOUJVfTnfOdjzqWMKE4XMI5r5CA+RzcmxLXSueefc3TS8L2lDPqUtL0g2SViDlUBHfqAF8+elLFucsH2vBkehtSLWkkQJklQTJZn1jpSZoZp1J5DSRWQtkdEeqRK02pIF46O8+sILp6tjZ2+O463pCcev+2HB8gfn4PZSqdQZ8rpf+cXXnPEb7/nliw6tXd6kHmrqFUktdKmGLvWKoF7R1CqKSqioBAmhn+B7Zjqx66a4+ex5keIEKTff7/PkZj9DktW5ioE+38zBtZkdnp9bObGdybwAdhDopYXH2hby7fpv1wWMB6z1IND7ChkyoA5y8Zxb542hyNJhlcojlxbfzubY6AHO3V/lQx8HL6OfR6jmsSjL+jUJF53agyirs9UpsdJ0FfQSQS+BbizoRtDpado9Raub0GontDqamY5kqi05OCGZ7o3hDL/hkN+44DcO7XW+4nlzd6j6fpcfmgUHWLd8GIDJyalPX3TBea7riL/61re/PT49NU0llNSrgkZV06imNKoJtUpCrRJTCSMCP8b3YwNyJ8FxElwvodOCjU/6tOJ8zk5uxS0LLvrbQszV93vOfJO5rDj234pZIO+/GOwLwebec1jvI/ibdiG6DX6VTRfLExSkMjPgUVnBiMZU5siSjwvbimfbi5yuqFJOHazeyRsBKamRWcpsXqCcjwzPR6Ko1KHmppywrodfS4iSBERMqhxaqWuMTSwRosxON4elgDTrEeOY8sLmMKvWn7d/3fHn/mGSxJ+ev2j8hwruHzrA82VoqEnUm/nkJRedK/fu2/eX991373joG3A36ynNWkK9ElOtxFSCmDCICLIgj+/FuG6M48R4XsLOPZLb7w/pRA6EZf/BfNaLM9BA0xSNDKgpcjbg59LFc1DPBWYb7P3gtrRxyvU5qgcdzhLZ2ZPgiJxFZT0tZQ5yS+ojH6+XAbfoMKt1kRbbF83MVZdspmVBVfr4ucguqNLSS51X15tHqoz/dN6pPZaOxmzZ44ITQyrpIZjSTsbHIVXaDKhSWasJbc6x5wqqoWTlqvX7V687832tdvTJeaNH72/yogI4gB/UueZLX/l4tVpLly9b/Deqt3d0uGGSspo1kzpbKYAdF8D2nDiz4DHCT7n1kSrbD7pGf7L7n4is9yCzLXY/mAdmL1ogLraRFg2R9jbZeot/zwa3sFSVEty244n13IdvSzWxQW8vfSDPm7haz0JmXWQx04cFhrhLnUc1sws1i3BKkc3UFPk2WU54TmnkXNy7pDNKSZJEsmJUcf7JXbbs8MGPTJ8QND3tkWiXrhK0UkE90XQTTZRoEmXcUteBNatXHKrV6u/ZtPG2T5193mX8qJYfGcABLv/Z1/If/3HNv69asSQKBR/19FON8ZGY8eEW1bCL58W4ruHbwomRToIQKSijqGx92uHqG6vsO+yZpB6r9YQj8v4nVvJU7lzaoJeDFlvMem/PacyBK+Vsy14GfrLWctY6A+qcbvSDe3Cx86rmAnVOW3L/YTbIc/WktNwqi0wWVMUugMhqNHPuLTK5MKc5Ugr0LKtt0RIl0VKilGOiy4nDgpGEt7yyzbceCNi+F8Oh0gSESyo9WtKjLR0mpKnRrfqShU1NqxuzcsXS6dF5i35rYqr7+Ve/5k0/Sgj+aAEOsH5lqlLduNqXY0nNPfxvvc594V1PSBSJAbZWkE011sJopccuj1i3TvPE0x6bt2fDYfqsd97535qSxoCKwlz0o7TQsz6T/erILP6dA3pgu35LbVnw7B+LrfQhPM9DKULzA+DPl5zJ5m23ZdZfXlFILMUiRBmWL3m3KDi5IFNdRN6AU2fN8ik60PaPISwpSt5D0PQVN+MDV6+IOXZpzPZtLscc0+W4FYnxG/JekZmDinBItMNDj1VYvfLYbmNk4a904uCLew71fqAw/IsC4KeceQX7tnwsHV81/sVHHxxPr793w2eu+uwzoXY8RByhey20UFm6pYtWCRedM8FV7z5sVIJUDADcwRFmHOCc04mx+fNAAlbOpy0aYlv4wnJLy0JnElcO7tk8vLTefc/2SbApiPVa25/rfssuyGiFLUHmfyvz1AWRE/NswkPeudBQkLw9hKEoJfBNc3yKSRBmtn05JjxXWGRGSZTQ2XNuxRPMtA9T5zk6qvifb5/mkrNitHLN1eSmICBu14h7IanqcddTJ3e37Bv9xZ2Ta6+diXelf/mHb/lRw++HKxMeaZm/+lf4+NUH0+M3jH1p5+Sx/+30E45rr2yGLFrgEo4oDvYq7O3N43Ayj5YeYuUiwWgVVoymLFuaZGNKzOxLIUznWFdqqw5T9wOauSrpB4I41mubk5eWXViWPQe3yNaXjz7eLu31ou8COFLhLgyE3lX5rPJnZSKD9vvidZYOa9bn4JzjdfY3Oh9EoGEwXG8PKOgroFACleZpFA5KO+hUsn2Xy7aDAYdmQrbuCXF0E5dRqm6DYd9h8rDDtl1Ntu1ajHDPal9y9tL/9pWNJ33pFy58KP3LP7zixwG92fXqP6rlumu+zER4BVe9f8ejamb51hNXqYsvOHlv+JpzJrnnyRpCVzlmHpxxjOYtF8WMVB2WLuzx6A6HOx9toJ0KwvHwpTDF2dKAPFdSirnzMn+vs5bE9LU9HmyLnL/OrbPjiOJisNdLKS0rb3p85KqltKjLXMGdchCrKESzEt1HADzMkYdD/63BumOVKQJlg35p+QP9r62GSMUdLBvRno8zH2yIlP+XwrRyFiLhP7/p87mbRxH1IabaTRbUh5G6iuvA0wdSfvefFnDfY6NUa6snhb/m10571eKrv/e5zRx/6rt+XLD70VMUe/nI+67gwvWfYcdU43MV91hv2fzlf7uw/q15Q9UeFa05ZpHkhFV1VCKYnJZIt0ur46Clh3A8QkdQcXRBT4of1zr5Aizg9VvvWdzboiP5a3u9LNbL8jtkv5IyKAMWjuMc2na5AZaXeYT8m+yL7LtMUX1v3XcNlrNIZ+ZYZvP6UIIs4imyKSNmm9Tad5UpJ7Yl19Y+5PzcDH4xB+VIjee6VCsCt+IxVA2opvDwJh+dgiMVhzodomQZb37tKQfPPcX9vaEGn/v8/5pk/up3/jgh9+MFOMDrf/YXAUh6E/8upefu3hl8aHz4jvHU6bB4LGB0WKKVxPPgkc0ud2+soQmoeYKGo/FlPhYv+w10aehsx9KxFRRZvrfB28elZb9KUlprA27HsS8UUVIc+gM1xf7oUg2ZBfIBubCv3Rr92+e+g5bGISwunAzIhVKTxfVzx7IYEYip5klth9PSw5XMKIwQRQS1fz8N+NMUROpkU5EFYeBzxgk9TlkTs3VXBuqJhKf3BTQqFYZGF/PfL3/5/ssuecV7ozj+93kLRn7cUANeAIAX/3EwzOGpmU/Uxy8Tv/Da5l8+eO+t4+ONNvOHI0aaXSpBh027JbsO1Kn4PvN8qLgKRxg+2ksFSQYMmSPKci4LoFtUpFBHbIezeB602iWfNjRHmCm81mSGQaWkCLNb4sbsLhcDNMVOgtKmhjIPz5f5Ldk2MnuozLGVpcW2LXmumJT6t/l/88IIoSAl0/eVQMkyuzDX5vOiEwGkShInJj9fSk2SOniuYvFowrFLWzyydZgDMy4jkwmeqxkZnseGM8/d/7I1L30f6E847gsDbngBAQ4w0qzTbrc+/rpXnZWsXRb+3f4dt46M1bczb/gg927q8bGvDjMd1Zlf04yEmtBTSAEzPcGBtkNXQ8XVRSISlPSjGAsi7XU2BZlNWUqHs3QqC3BbF0rf32fHUvDmzOHDvsMUPahE37MNdEMFzFwcpUvuUlhwy/FDWhzIUm9sObAA+4BMaC8izS701BxfMStJmKQ3zzFJcEp57D8c0up4CKkJfRetBMONlLf/zAxbDx7kiW0jVD2XxQtHWX/SKw7PW3zau6PY+bdKpfJCQuyFBThAtVpD6+TTp5664dC2YMeaXjz84eu/e4O3dZ/L/U81GQ1d5tdTGoGmEgh8V7DQ1axePcF9myXPHKojK4LQKYuNS3CXjqVxHplFTcpIpqWU5NbberYdVvvCKfLYszRR8zpjDRbtAAPoflkxs+bZdkrpLLyti78z+2ikPccuTsg+KyKVhdUugz1CZzksGdhR/RA32xvnOVU66wOeOZJOSqPaYd9ExH2bhvBEBVd4ZkpamBAnDo4Dp6zucelLplg9X7Fu7aWxR+U9J564YbPr+V+thEdvbfzjWF5wgAMI4are9ENfWbfh5f499+1sjy+u/vPW/XeIkVDIpUOK4aqmGpqU26G6y+ol8LLTWtzyvRZ//v8tpBM1GPKzhkGZouI6wqRqOoOWe7AEzaIo+XvZ/8jBnT+7+XCovPhBGICmCuLY8FWNsci5Zbe5ep86ocqSsiTVJKnKAG62NeqGmfartS172TkvFiXJpx1rXRQWk1vwLHfF7pZl9sf4Gp5SWWBGU/ETEtXho1+tcsu9w7z8eJ81izyGGopGzSGKHdJUonWHZmVIvemS8/WaNet/c/vMyZ96ZPOe6BVn/vBSXn+Q5UUBcICgcTJ33781Et6aT598rPjW49ujn7v0jP1/PnVwD44jqQYO1YrD2LDL/NGUWlDlktOmuOG+GW5/pI4GC9zguaYlr+sMRBwHgG1HKKUY5OD9VMfNBsk52eQz19FZL3QD4Tgx/LgXQ5pq0lQXhcCD2Yf5RaYkxd8mStGLFEmaW28KH0A7Gkfn5MPM0UkL+lKG5nOQ57NZTVg+C+Bk1fYCykCP0lmdJCSORHlZCZqbcPcTghvvHSJuBxw4nNCsmEBbqgS9nuDAhCDmZM7aMPLH08kJXzh25eKdi6b3ROOLXxzghhcRwAHOfMkqgM5f/8t/brrqhnM+9J/vf8i/f2P1A5s3P+NMtSM0UAkEoa+IE8HYMCxfmPLdjUYP9xyN70LgGSrje8Z6w9wlcIP8W/QFckoJsdTLzag/z9XmInI0rqszXZis3a9gqi0KoBqHzcg6efmYFOUdAcxzFAt6kabVVaSp2cHiosodUccAOrWqnlR+4ViFDUrkkcg5ZvtoIIV8uFSSBX0E4DgSP5WkqXE2tz3jcmDSZTyEKNJ0eiadK4ojenHIvPnL06f2L/iLX/mZ2oe2Pro99RtnvdAQmrW8qACeL3/w62/k8Qf/Iz12w9v+ZO++g+6Ozbf+/lWfvz9od9qEfkq9ktKsRty/SfLNe0JCKQjcEtyBLwh9gedJHGG4cJJmwLEWIQajlGXkMpcN+5xWR5d3B9c0a/ddhecpPNe83jfh8uQuh6kZhSuFoUquuVU4mVeaN3x3s+9xpMaVKZufTjgwCYGrcR2B75r/S3slry+AnUmCtqZtJ1kpUVYEDaqUSSpIEjPfxxGQemYbx3EIPIc4cUhSl0tOn+HLd/Z45IkG0x1Np5vSqAkWzhdMqnN6r331+X/TaI7+SaSu5Td++c0vNGzmXF6UAAc4dsObmZicYajZ+sD4vJfLdzrLz7n5hpvkgrGZcyrBftd12+zaDzO9kKonqLiKwIPQh0ogqYYS33PMGI1YobqaOJPgcsuJbbn7QE5BX/KgUUlTtLlTeIrATwl9U5VUDWPGR2a4f7vknk1DjIQOQzXT1B2MvJbr4o404A59TSVQDDcS1q+cYutExO1PDrO4CfVAU/FFqaiQafdK4yjD7/NckjwYI8DQlrxELTvOPFLpONmdIIFuZKiUlBB4EqWNr+F7LmHs0o18qr7D0vld7t6YcmgmZp0/ngSVxh2nnHGRcirH3LFtX/qBTnuGSvWHW4Xzw1xetAAHGB4qTtz7nnziPn7pba8Zn54+vOnAnq8P7zq0iau/4TIzXWVsvpkRVAnywmZTuV8NJYEHvVix7emUdtdMM8Y1vDanD85ACL6IHmLlsmQW3Mloie+agulKkFCrRIwPt4nVYe56bIgd+yXumLmjSKlwXIGr8unxBqiuowk8TS1MaVZjls/vcO4JU1x/t8+eqTqLGmYEtOlXbrh+ml1kqRY4WhfV8XkKbJ7/bTRuTHWONjTJ3HkUrqtJEsH+CUWvp/F9h2ooTTxBGH078F1mOj4rh33efP4Uj25dyLknLlVnnLjqmjAYeudd92+ffvObnn0+zotheVED3F4Wr3gJjkt7uJNc5QeOt3nz0HELFnfeMLRrO67wqYUyG6UiqVddhhuSobpmtBkzNjLFtv0O+3Z7jNbNj+/pMmrpOBLXKSXBvkIF6yFFacX9jKKEQUKt0qNZb/HQtoQntofEiUOcpkSJJkgFKi2DN9jf45o7geemeC6cuCJmxbxp7t9cpRZIXGnGdTuOwE0NPVKqbPtgL3nksuDZ2UWZv3Ycc7cYafY4NBPx3Y0+4w2XkUZKXHcBB0cKPNfF9xRDNcHOvbB8ySn8/GUrrj3vzNMeOe2UBR/pTnenK80TX2g4POflJwbgtVAAtIA/eeyJ3Rx3woYV7154Dy85fsEbbr31SaruDBVfUgkdGlXBSEMxNhyzesk07WQfWw+PcqjlUwsMlTGW1PBj15V4jijmydppAH0dnUQuD5peLp6XEngJlSDC89rc9ZjL9gMBI4EJ1pjsPF1GJ+3vEeXceSk1vViyeJ7g7BNmuGPTCFNRSNUFPwUv1aRqjlA6VpoAGEUkU1B01lJDZb+wIzWBnzLc6LJ4/gQzqs7h3cOsWZCgtc7AbWolkwSGm6OktTNwvJOv/Z1fPu1329OT24VY9ELD4HkvPzEAt5fj1i9G693bV604/t3I2qdfcuwJv7N755Mvu+/Bx3Fkj0bNYaiesmiszaKxA3zyZsVDWwPGfROM0Zn1dqTEc83gIy8beJUkpqeHUeoESvYDXWYgdx2F5yh8LyEMIlrdhEe21mh1fRZUy1wqO8xzpEVrQZJKaqHDySsjhiod2nFINxVU0jwIQ9H8x85OzKOsAHGqSBITbfJSiRSSJM16pois94zQnLQq5ryTp/jUf9WpBg5uNr/S91IWjtcZm38Sy45Zc+t0UvnIlDr2oTsejbefe9JPHrjhJxTgAEIsBnhKa/0U8Midd6pFK1et+3/bk0+uPbDnEafiRywcO8wtj6R84ob5xN0QN1TWLVvgeYIwENQqUAmMlT08DVFswOi5hpsPWs48tdSMnVbUwpg7HhPc/kiVwJXGMtv0Zo5OQHaSldIYbTnyOPuENmesbXHLw016FUmidJEjbg48P35zDK6TXZyY/Z5pJ2gNQWBy6D3XyH5aZxZdQcV3ecerOmx95gB3b5zHSM2hEgpWrt2QvvSsdU8dnOj92opjzt2jNZscR/CTvPzEAjxfstD3pv37D21SOr20PeUvcU869Zrd229u3rFppvbJ65uMVn2iJCFRMgtqGGD4nqQaCJo1Q2c8N2Lz0x4zLahWJOAapy41BQNa9fNbRyrTv8WNaSUw0/PwpDCldHZIP3vkZj0vTkizh1KCNHWIU5dKIKm7CSpVxMopChXQgw6vzGgFVHyoVxWBn/DQlpTAgdGmoR2hb4JIKt9vR7HvsOTQ5AjvuFgw3lQMN49tXfG6C6aSNLl84ZLlTy9d4WyX8icb2PnyEw/wfBkfH0UrtZ3xsZ2omRN2T1xwdjN92b++5bItyTEL7h792PVTjUc2eaRK4UhB4DuEviAMNEP1hGULZlDyIE8+M4arAhY64DqKVDmkCpLUqBdFY0o0Qmp8P2W6pbjrEZ+JdsBIaGpFXTsfxsmcV0zUMcm/LzUXT5JK0lQSxQ7NmuS0k7rc8nhMFHsmv6UvpC4KcDtZOkIQaMZHYuaPT/CZbwvcpJapIYpepOlGkigCiOn0NBt31Pn2Q8unr/y54w/99StXuAcmnV8daq69c/54ZVJr1E8LuOHHVLL241qElAgh1G0PtQ8nzrIbPX9k3T9+9OY1J53+jr94+RkXbPwfb609uHJZvbtwfoNmzeR9eI6iUY0ZG57k2u867Nzn9vER02cP4tQ8FxweQ1U8N6XVTXlic0DSdQncMqRv6IPAdyW+Kw3dURDHECWCKBt2mqSSREmiyCEMHU5cHTES9ohSygSo7C7gOgLPMZOk88EHOQFaPp7y+vOm2DuTMtXSRJFCozg8ldBNqvRUvXvTA0seXH/MpRv/4Dfe9heb7rl+zdDQ0Lpj1iy6cf743sNCiJ8qcMNPkQW3l5edugBMSnZ7396nkI77YcdxPiy9052LLxj+50XDvXX79m057+HHDzmVsMfYUMyTT7e5/eERfOFQr0gqgYPnGg8zikzfBs/JIoBWn2tXpjiOAtfBkQ5errJk9MH3JGHoUKsYrbnVVqjIlOX4riCKDcjTVJAoB5W4qCRCq8Twb0ta9DJaFQYS35NoNHECra5guu2QpCFnHTfJf909xaHWKMsWuCxbVEW589IVq9d857jV7qYFS6euTBKdNmoVXnr5n2vHX9V+oX+vH+XyUwlwe5m/YC2UNjnptA++Mwz9kWf2nvzBVN/qV8TOdMEC/yX7d9VOS+IezSBmtOmzaEziOpotu02Ieqju4LkOcWqUGEHGwZ2E7c8IHttVwQ9EURtqAitmsGmjKlgwmhKnMdueUSSxZHzExfdcahXjBBoZUNCJXI5Zolm2sMfupxSJkkUZnusKwkDSqAmG6ykz7ZQtTxvKFUWaoZrDokUjnHvqIjZvG7pvqNm7f8nS1c6Z574iqjVG3p/E0eFV60df6J/kx7r81AN8cKlU5wEcBn4doHPgelwpXtatRK982xvU5a6K1s8fjgn1w+zclyL3R2zZ3mNxz8N3q9SrLqnOxnD4Kd044Qu3VNi0rUZzRCBRRVDIdQSBL2nWYNmCLu10kl13BCTtkEoAtYpDkhgFJef23Z7LsSsEb75omkd3jtJNqlmLBmO9fRealR7jI1McmnbRTpXdEx6nbjiO+csqDI+KJ156WnjN+mOaNzlS3/qGN13wQp/yF3T5Pw7gg0tl7DUAtx48eOjWK17HbWmarlHJIfXM5o2qK5asev368ffyzV0M+yEqOshMa4q4nqJUROB1eXR7xLV3zQfPJ4khDjLVRYN0BIFnFI6x4S4T3Skmu8N0piss7iiiWJFqWYTupTCqTLsTcNnpHb7wzcNs3OLR6SZEkcnwG5s3zNq1o3jeYVaEq6iNTXxo9z2Htp52+jly+dJ50vPczUtXc2O9MfxCn9oXxfJ/PMDzZd68UYAb8/da7+YU/OEde5654/jdPqFw4wXzjvsftQqXDNcVQ/UOe/fcyN9fV6OXNnn5SQG9NGH6MLTiBL+tGY8FWklCL6ISTHKoNUmcSvZP+0zMOIwPS5JY4jsdlG6Tasmug1V6vXmcsOYQ7/n5hH+5YYjXvvQcxoYchhsuzbrz9cBp/x1ixBteegpeZcWtF17YnThp3Q+/M+tPw/L/A/wISxZImgCuA9j19B6Ax11HL/BcrQK3w1Pb7uSBLT4Vz2fdIoddh1rxr7zu5X8qOfSaJ7en8cIRn9Ehl1VLexxWi3h0P7zvlxLufaKGTELWLPaZNyQYnTfD9v2eR234+vbUV/50qt30ThJdzj6uzU0bq5xz5omMNDx8T8owcPYCW0fnLXyhT9FPxPLTpQm9wMumR+8EIRZMTW4ZuuMhpUcbPs2aZNXiiH3TLW57JOStF7T4zkafQwcrrFzkMVQTDDdaPLC1KlYuWjmptd57yYWnv9CH8lOz/G+CWmDOusOrHQAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxOTozMzoxNiswMDowMITVJqEAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTk6MzM6MTYrMDA6MDD1iJ4dAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 245843000
    {'hecke_orbit_code': 81064793359779024, 'n': 1, 'trace_an': 4}
  • id: 245843001
    {'hecke_orbit_code': 81064793359779024, 'n': 2, 'trace_an': 0}
  • id: 245843002
    {'hecke_orbit_code': 81064793359779024, 'n': 3, 'trace_an': -14}
  • id: 245843003
    {'hecke_orbit_code': 81064793359779024, 'n': 4, 'trace_an': 0}
  • id: 245843004
    {'hecke_orbit_code': 81064793359779024, 'n': 5, 'trace_an': 10}
  • id: 245843005
    {'hecke_orbit_code': 81064793359779024, 'n': 6, 'trace_an': 0}
  • id: 245843006
    {'hecke_orbit_code': 81064793359779024, 'n': 7, 'trace_an': 28}
  • id: 245843007
    {'hecke_orbit_code': 81064793359779024, 'n': 8, 'trace_an': 0}
  • id: 245843008
    {'hecke_orbit_code': 81064793359779024, 'n': 9, 'trace_an': 76}
  • id: 245843009
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