Embedded newform data - 825.6.a.g.1.1

Formats: - HTML - YAML - JSON - 2024-09-08T07:14:54.498551

• mf_newforms •

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

  
  {'Nk2': 29700, 'analytic_conductor': 132.31665134570903, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1], [11, -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': [825, 1, [551, 727, 376], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 18257, 'field_disc_factorization': [[18257, 1]], 'field_poly': [8, -26, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-18, -25, 2, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27021597864887097, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '825.6.a.g', 'level': 825, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 11], 'level_radical': 165, 'minimal_twist': '165.6.a.c', 'nf_label': '3.3.18257.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta _{1})q^{2}+9q^{3}+(-14-\\beta _{1}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '825.6.a', 'trace_display': [-2, 27, 0, 68], 'trace_hash': 1830395308197470966, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.916', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.154', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.677', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6.435', 'prec': 17}, {'__RealLiteral__': 0, 'data': '263.709', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [3, -2, 27, -42, 0, -18, 68, 24, 243, 0, 363, -378, -290, 916, 0, -590, -434, -162, -2856, 0, 612, -242, 640, 216, 0, 2132, 2187, 580, -4538, 0, -14968, 2496, 3267, -13704, 0, -3402, 6190, 11668, -2610, 0, -8926, 8244, 33592, -5082, 0, -35680, 24640, -5310, -14693, 0, -3906, -18780, 22934, -1458, 0, -40012, -25704, 32304, -13756, 0, 24602, 7704, 5508, 35474, 0, -2178, -16868, 71288, 5760, 0, 4856, 1944, -1910, 29404, 0, 6116, 8228, 19188, -36844, 0, 19683, -84000, 48796, 5220, 0, -83492, -40842, 2904, -188978, 0, -93208, 6976, -134712, 70472, 0, 22464, -247526, 154654, 29403, 0, -170242, -123336, 37464, -32248, 0, -14668, -278700, -30618, 190658, 0, 55710, -146780, 24242, 105012, 0, 178256, -23490, -206456, 17608, 0, 43923, 15796, 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• mf_hecke_cc •

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

  
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-0.2584421827682957, -0.2843742423490748, -0.22605784631993958, -0.39270669893704685, -0.41186593803139454, -0.2228739999220549, -0.3874467621022395, -0.28272980257821123, -0.2971101827574728, -0.2822549254854846, -0.4413716846996176, -0.18037260557191012, -0.3083519438901812, -0.38529680479621914, -0.28921037472287825, -0.2910793349791464, -0.06672350593182547, -0.3299498792581244, -0.398631123695995, -0.3497872748413593, -0.1309844142937792, -0.36867490108574247, -0.3602054378826314, -0.32803860272006735, -0.3721047603511173, -0.2651639419503652, -0.17776588554357417, -0.20898905246226956, -0.2715021666770662, -0.17438300269488596, -0.33999879984264253, -0.27784560081866216, -0.259816235448823, -0.3278844866385442, -0.3427912538665548, -0.2288457426478125, -0.17752978530388885, -0.2959351363259689, -0.1925101188563672, -0.3200939173136395, -0.09845616280759095, -0.2481238590724022, -0.12040505370577197, -0.4467678924415111, -0.4427472493196821, -0.08573522777791856, -0.2774662661277581, -0.3572912702754119, -0.3610907099628784, -0.40849827201115335, -0.11962025396414665, -0.1711364171645464, -0.24742463663278713, -0.18924378835688796, -0.08333369450668655, -0.21860252566650956, -0.1418033931514935, -0.25056004976213536, -0.1712501642375477, -0.2016900793945761, -0.3473259967886448, -0.1158283801568096, -0.25821912176052036, -0.2762858168036133, -0.32650318288494445, -0.2848782545397932, -0.2856645590458604, -0.16288549125467353, -0.15017119912998989, -0.1487914025416588, -0.2457720680070717, -0.1103570687951184, -0.19962152774188502, -0.40961166784522657, -0.23093571252532913, -0.2801314991103689, -0.26687143852789713, -0.2991525950651848, -0.42439441180486276, -0.3789708700607329, -0.19240965644550587, -0.16491447126483486, -0.3573248633114104, -0.20339010402720756, -0.32329341768869746, -0.278368743164899, -0.38841248497189085, -0.14578382916088875, -0.10351176517205554, -0.2367997848328043, -0.12372275943263202, -0.25994363458929115, -0.18709419620681858, -0.2085228808397145, -0.35932799754198863, -0.1608423295050964, -0.2836863998983001, -0.4760400971501068, -0.16703844762983908, -0.21126671506091635, -0.31726493718308424, -0.2404438841828262, -0.2756208194654047, -0.22891864082428925, -0.3084264043226938, -0.19895487891089025, -0.2201752752503128, -0.3003733944124997, -0.2631029245536502, -0.10760750888443325, -0.32418500901147945, -0.1522472657112472, -0.2500164334925998, -0.11347166676201216, -0.28958144901812916, -0.27912532557724656, -0.4328779320021579, -0.3706055182568654, -0.27486416031931554, -0.33100207696454476], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -4.784145159247087, 'hecke_orbit': 7, 'hecke_orbit_code': 27021597864887097, 'label': '825.6.a.g.1.1', 'level': 825, 'weight': 6}
• mf_newspaces •

  Column	Type
  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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [18, 21, 22, 20, 19, 16, 21, 23], 'Nk2': 29700, 'analytic_conductor': 132.31665134570903, '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': [825, 1, [551, 727, 376], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 588, 'dim': 160, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 100664121, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 5, 5, 7, 7, 7, 8, 8, 9, 9, 10, 10, 13, 13, 13, 13], 'label': '825.6.a', 'level': 825, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 11], 'level_radical': 165, 'mf_dim': 612, 'mf_new_dim': 160, 'num_forms': 25, 'plus_dim': 75, 'prim_orbit_index': 1, 'relative_dim': 160, 'sturm_bound': 720, 'trace_bound': 4, 'trace_display': [-8, -18, 0, -36], 'traces': [160, 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108018332, -62568288, 0, 158250496, -23722776, 174284872, 14664312, 0, 29367996, 375011528, -29406240, 336775752, 0, 395971200, 87742604, 1581228, 167777064, 0, 423794488, -5668704, -109809968, -313397768, 0, 140187464, 131105704, -104174784, 45406944, 0, -48530988, 25929232, 152353760, 81618840, 0, 137679392, 165223296, -93843800, -88702888, 0, 266110348, 216524336, 62282232, -174348624, 0, -287723880, -261509096, 184948144, 53937252, 0], 'weight': 6, 'weight_parity': 1}
• 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: 45685812
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864887097, 'source_is_minimal': False, 'source_label': '825.6.a.g.1.1', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597864887097, 'target_is_minimal': False, 'target_label': '825.6.a.g.1.1', 'target_level': 825, 'twist_class_label': '165.6.a.c.1.3', 'twist_class_level': 165, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 45685813
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864887097, 'source_is_minimal': False, 'source_label': '825.6.a.g.1.1', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007199355404453, 'target_is_minimal': True, 'target_label': '165.6.a.c.1.3', 'target_level': 165, 'twist_class_label': '165.6.a.c.1.3', 'twist_class_level': 165, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 45685814
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597864887097, 'source_is_minimal': False, 'source_label': '825.6.a.g.1.1', 'source_level': 825, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728034287, 'target_is_minimal': False, 'target_label': '495.6.a.b.1.1', 'target_level': 495, 'twist_class_label': '165.6.a.c.1.3', 'twist_class_level': 165, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1378725
    {'charpoly_factorization': [[[-18, -25, 2, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 2}
  • id: 1378726
    {'charpoly_factorization': [[[-9, 1], 3]], 'hecke_orbit_code': 27021597864887097, 'p': 3}
  • id: 1378727
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 27021597864887097, 'p': 5}
  • id: 1378728
    {'charpoly_factorization': [[[-247808, -15552, -68, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 7}
  • id: 1378729
    {'charpoly_factorization': [[[-121, 1], 3]], 'hecke_orbit_code': 27021597864887097, 'p': 11}
  • id: 1378730
    {'charpoly_factorization': [[[-132063592, -455060, 290, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 13}
  • id: 1378731
    {'charpoly_factorization': [[[-2547052488, -4200580, 434, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 17}
  • id: 1378732
    {'charpoly_factorization': [[[137703680, 1324816, 2856, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 19}
  • id: 1378733
    {'charpoly_factorization': [[[15777349632, -12608768, -640, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 23}
  • id: 1378734
    {'charpoly_factorization': [[[-44413548456, -26440804, 4538, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 29}
  • id: 1378735
    {'charpoly_factorization': [[[121645522944, 74183808, 14968, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 31}
  • id: 1378736
    {'charpoly_factorization': [[[-28013661736, -94942100, -6190, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 37}
  • id: 1378737
    {'charpoly_factorization': [[[119305168392, -75423556, 8926, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 41}
  • id: 1378738
    {'charpoly_factorization': [[[38997547520, 252438928, -33592, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 43}
  • id: 1378739
    {'charpoly_factorization': [[[679997104128, 100066240, -24640, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 47}
  • id: 1378740
    {'charpoly_factorization': [[[4393759072056, -155251828, -22934, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 53}
  • id: 1378741
    {'charpoly_factorization': [[[-20798004639936, -2273938256, 13756, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 59}
  • id: 1378742
    {'charpoly_factorization': [[[43064794504, 104218252, -24602, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 61}
  • id: 1378743
    {'charpoly_factorization': [[[-1826752720192, -206702672, 16868, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 67}
  • id: 1378744
    {'charpoly_factorization': [[[34155066048000, -3461197888, -4856, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 71}
  • id: 1378745
    {'charpoly_factorization': [[[163103734088, -343684724, 1910, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 73}
  • id: 1378746
    {'charpoly_factorization': [[[-70772253539328, -4928927232, 36844, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 79}
  • id: 1378747
    {'charpoly_factorization': [[[70386077185728, -2151088976, -48796, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 83}
  • id: 1378748
    {'charpoly_factorization': [[[-16088649675432, 8554109420, 188978, 1], 1]], 'hecke_orbit_code': 27021597864887097, 'p': 89}
  • id: 1378749
    {'charpoly_factorization': [[[148869121092488, 15492965260, 247526, 1], 1]], 'hecke_orbit_code': 27021597864887097, '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': 7, 'label': '825.6.a.g', 'level': 825, 'portrait': 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Lyi4nrMjMOWqZANEwOmJwJmJgK2bDBsm1FcudWlquqcOtvkiYMezx2NeelMRKI6vPuuFu+7w1BVExw9M8qpCw6zCwlzSxFnFw3Hlww3X7XIP/vQKlsnRphdHGVxtcJyy2V5TbLaTmh1EtZ6gl5nhWTQufLFQ/NvfP5Ue8fLZ7v33f3OD4YPfvEPXm9I/Bc9/lozeBS0ieMEKcUvvXLoxB3/6j/9mdy19cIdH3zjinNxaQKMQhvJasdhac1huSVYaSWstiKWWwkXV+HEsmBqao1/8eFl3rCnxrn5cS4s1Lmw5DC/bJhbijm/mLDQiRkdH3DnNV1u3Q+erOIrn/mVCheXHOZWBL0A4lhT8TT1SsLYSIwGzszFtLuwfYNLvRpgjADh0e1rts0ELK85YKwUWetCEIPBsNIK2Tzt0ukrhDIIHdCsuGzbOGCtJzhzwSHRDhNNSaMi8F2IY0EvkMytSC4uG+ZXY3x/AG7MbQe63HGVYKpZZXm1ybl5nwtLML8UM78SM7sCJ5YNNx1Y4l9+eJWZ0SZn58aZW6qyuOqx1JL5+VtpJ6z1DNpAouHYQsRP/i0T37p342MTW79bT27Y8RiYn0EoJsebrzdUXvPx15bBX3zm42zedis//dP/xy8effWh//3L9z94xUuHl3a8dKYv77xumQPbIxACe48KDAKMBKR9TRgcYfAlXFip8OQxxTW7V9i/dUCtAq4j8VyF5znUq5KaK+l1XY6crnD/cx5nFgLaccSRcwEbJlZ4z52rXHNFh5v2tzi9FLPUE9T8AScvGFrtOlfvkqwNEg6dVjRqDq+cgT2bDIMwYZB4OE7EWAMOn/NRToIrYxwX+oHkDft79HuSa65IaPcTzlxosHNGUa+FrAWG6dEeq902f/wAvHAq4aVTA7ZvWubafW3GxkPeeVuH73qTYfdMgyQa5dTsCCfOu5yb05xfiDi/kHBiQXB2LeK6vYv8iw932DA6yrm5ceaXayyueSy3BattTasT0eomtPqGTt+w3JUcXxLs3rbK99/dkt22t+PBJ87uPHexe8ueK7ZWpyfHv/rvf+9TfPHTf/x6Q+ayj7+WDP7lez+DUrcqYb74zx8/ePb/2jd9Vp083eDB5zUvz8L41Cq/8sNzXLezyvzKCKvtGqttn9W2y0rbYbUNq+2E1XbMSidmqQXnVgVOdcDtV63wPW8K2TldZ63bZGGlyuKKx1JLsNKyEmG1o2n3Ne3A0BvETDQjtm3QgMB3DecXXIT02T6t2LnJsGm6x/xqwIvHGty4x1CrrnLw+DiNekgYukyMafoDuHLbgD94YJR9W2OCwDA5IomSPo2KzyunB1TdOtfvjXnpZMj8ssfmCZ+dG2HbTIhSEeeXwHMNQhi2b4gZa0g6fZ9uz6Xdc1lpK1bWYLmlWWklLLUS5lqwPEjYtrnL99y9xO37HSpuk4tLTZZWK3blawvWWpq1TsRaJ2Gta1jpwmJPMtfSXL9nkV/4oTU2jEzx6slJ7n9aMt/p8L3fMZMs9w/84nccuPpfPnnuZPLev/m+1xs6lzz+WgF8YfYQzUa1+sIrZ7cdPXrkAwcPX/iFrz57iuv3h8T9OrPzktlVwfFlw5XbF/hXP7bEtbtqLK6MsNyqsdqpsNp2WU1B3upo1joxq52YlbZhviW40DUgurzvrhbvfINm18YKYVhjtVVhrevR6ihWu4JOTzAIDGFsSBJQ0uC7UPUNo03D9HiE4w44cTHk5eM+Oq7zjltCHHeNZw+NsGMjfOmpmLuu9llo9ak4ijiJGB+DOHJx3Jjl5Rp33tDmS4832LkRnjkW4FLj7W/QxKLPyycSTp2v4EiPDWMOY3VB1Rd4nkAJiDWEkWEQQqdnWOtqOj3NWk+z3DX0k4TtW3q889YW77sjBN1geW2EhZUqy62UDFqw1klodeMc3Ks9mO8oFtoJ1++d55d/bJm9mxqcm59kbqnOuQXDIFnmqm2K5d6VaLXpn+7Zc+BPvNr2s0nc7990wxWvN5Tyx18bgD/34iG86qQXdI7/7ZMnjv/ao48fFIN+T84uJsytgusYHGnoDARzXcmZVsJNV8zzkR9e4YY9Pkuroyy16qy1fdY6Hqsdh7WOoNUxtLoJa52YVlez2jUsdAQXW5qx0R7fdlOH2/bHbN+gaFZd2p0KvisBRRhLtBZoA70BIDRjjQHHZg3ahHzlmTpBr8oVmz1uv6ZHpNd46LlRrt/jcmyuS2u1ya3X9Pjqsz4bxg2Hzhj+/nvbHDrts2Fccv9zituvVKz02pw8N871e0MeerlPHNS47YDH7q0D+nGXLz+rIBGcOO/QrDk4Anp9iTaCRBuiGJAax9O0uoZ6I2LrxoA7ruzxbTfGTNQrzK+MsLxWZbVtz81qW9DqQqsT0+rGVpb0DCs9yVxHsNRJuGXfAr/wo4tcvaPKwvI4y60anZ6Ho8BRmrllnzMXHVzP01u2X2Wu2LPn711//f6PLS/Mh5Mb9r3ekAL+mgB8ta2ljvvvOfTin11x9Gz8kZcOPuNWhEOrZ+j2Yrp9TRAagtjQC6A1EMx3FedbCbftn+eXfnSJG3d5rHWaLK42aHUrrHU81roOrY6i1YNO19DuxbS7Cd2+ptUzLHYFi12IkoBr9/SZGU/o9gzffmvAjhlNnEgcaQgjePDFCmcXKmwcizl4ogK6xv4tihv2afxKj2eP9VhcqnPVjjrN0VUef8nl5j0VlntrrK42mZkxPHVI8f1v6fL0IYct0y5L3RarK+PccGWPxw8mjFdHueqKLgutFk+9OkrVqXPTPsPebQOQXV48JZgej5hfjHjoRZdBpJASEm3YsTHk224N6XQVm8Y0N+yBMKyx0qqx0vJZ67q0e4pWV9LuQruX0O4mdHoJ7Z5mrWdY6Utm24JWP+T2vYv8/I+scOOeCnPLo6y1a7R6Pr2+QxBJBoGi3ZO0+5LltQQl2tx++x3R7JL7kz/wwb9xvFarfV4IR7/e2HrdM5nGLJEkix8+fvjJX1XRC+Ot+ZiJuocSEoNBClAyoe9onFAjhAEMkCCF4pljG/iZj7q89/YVPviWFXZuDplbbuJ7Vaq+R813qVcdOlVJo+8yUnfoDRK6/YQNgaYfGDoDn5XFCufPGcJYMzsX4/sGEHjK4EhBr68QuMQ9h+t2CHZvMmzb3CNIOtz7tOLw8THedqPPDVeu8jv3GjxRY8fmHi89rtg8qphs9qioKmHkstCBesVhywbBC4dDbthb5U3XL/HxL/Tx3AZvvcXg+j2+9lTIl56s8+qpKrs21dixMWFqLGTnZMTVOxKU0jjKno+a7zM16hNGLp2ex8FjLt2BQ6+v6A4k3T50B4Zuz372Tj+h2ze0+4ZWHxZ7irlVQ22kxT/49kX+5m0h1+ysc2GpSatTpd3z6Pbt7+sFit5A0O1LOn3DIDAI4fPn9z7rzgUTv7ph05MrVx54w08cPtP5+P7tjf95Ab6y1mOtJX7k6We/+kuvHPzU+Lddv8DVu7Yxu1hntS1ItADhIIRAqgSlQAiDFDbQUiLBU5KXj0/y/NEaxy4s8N47utxxYMBoo8lKq0a9XaHZ9+j2HDrpxe4PHHqBwyAwDEJNGBmiyBAn9ghjD6NBKoHrCCqeYLQhGGvAzKRmy4Yek2Mt7nsWHn7eReoR3najy3X7Ozz6akQ4aHL7dYJWv8/Ccp3b9momR3tUHZ9BrFhsRygtuG6vQ60R8NyRCm+8YYRbr+3w3BEFZoQbD3j88LtX+OoLIfc/XefQ2QrbphQz41XGGjVGGlD1rXRTErSBQ6cESSKIYkEYQxBhP2OQ0A80g0DTG2h6gabbh3YAi13JYhcGesA916/wnjtafN9bNVHUZG6pTrtXpdPz6PQdugNFb2DB3RsIen1Dd5DQG8SsdQyzS5qjy6fZv312fHo0+Vd33X63Y5LeR4Wq/c8H8NZaC8/lh//0S4/80n1ffmj62HlJklT5tuv6tLo+USzQ2lp+ArsUKwlSapS0WURHGVylqTiCpV6VTzywha893+auq9f40D1rXL2zy8RojeW1Gp2+T6/vpsBW9ggFQSSJYkEc26Xe1m7ZoNJxoOJBraoZb0Rsnu4R0+XYbMQfP1Th5Lk6o36Vmw843HZNm6eOtvjKE01u2VNh28Yef/CAQAmfZiNirRugDSgBU80e7Y6Hjqu8564FPvGlGrvnK7zzlh5htMxDL08QJRXecGCad97cZs/WFl97rsdL52q8eMpjy7hkvCmo+QLPtTehFPbm1wa0NkRxerNGhiCyN/IghH4InYFgNRCsdEA4A67bu8aHvm2NOw8kTDarrLbrrLUrdPs+3b5LNwe3pBdI+gPoBYb+IKHXT+gNNN2BZr4r+I67Au65OmDu5Nenj43ySxu3v8msrbV+a3T09ekk+isH+NHnP8pHPjfJ//tH9/7gVZuCj1w8eXyyIgfMjDRZW1WEcYLr2GRKnIAx0jK4UEgpUDJBSZEuzxpXGTzHUHEEqwPFSmuMTz5Y58mDXW6/do0PvXWN63e3mEiqxLFPb1Ch23fpBw5hpIhiSZxIEi3QRiCwK4TvaWqVGN8L8dyA2eWALzwjOX7e49T5MZT22b3R48qdihv3t1H+Ii+faLB5tMZVu2BmapWVdpOrN0tibbjvaZ+gJxmtx7z9DQM+/1DE2bkG+65wubg24JWTLls3jHHtzkUefanD468IgtBj/85x9m/12b+lw4mLKxyfhacP1zh2sk7NEfiOpO4bKi5IaYMqY+zNGicQxhAmgm4gaA8E7QhCHaPNgJv2tPnQt7W56+qEjeM+/cEIy60Kna5Pd+DRS4HdHyh6gaA3kAwC2zfaD5J0ZUgYhJo4MfgKJqpNllernJsPOHj8kekDB85/5I4bdGwMv2MwotPHjNT+6kK/v1KA/8SvfIw91x/hH0bJ950+u/D/rM4tjM6MCtwrPMIIpsYky2shUoDvJug0RBFSWnArhaMycCe4jsBzNZ5r8F1DzUsYrQg6gctqe4xPP9zkgRcHbBjr8YG7W+zfOmDQ73LVTsPWGUUQuSSJItESk4Fbalwn4cy84dScYK2v+dyjNWaXxjChy1hFsWnCYfuMw67NcNXuNlou8Rufr7OyMsIt+x2u2t3iay8KROwyPSap12J6kYc0EoxEOZ4NlFcEB0yNu2/s8NhzVTZNetxy1Tg/9O4lPvalDk8fqdMduCyvNdi5qcq+jT3esLfDd76xw4WVFT73qM9yz+fMRZfZWQ9XCaSUCATaGBINkTYksWZsIuKaAz2CIGL/1oD33x0wPaIYb/hEUYWLixW6fY9+4NIbOGkFpqIfSPqBoB8IBgF2JQgSBoG2SazABuHGwHTDcPacR7cFYaRZXlvh4LGlyUef3fBvPvDdr/7T227ih40ePPxXibm/MoDff+8f8NZ33Cp+8lfMd+vwyG/es/9I7dorRlhpVxhpJMSJxFUaIcBxNBUDIBCCVJ5IHCVwlH12HYHrajwnwXM0FddQjQy10DBSSRirCnqhpBPWOXW+zq/84TjoGBHH3HhNj50zIXEM2mhbv4JACoFUAsf1OHLW49DxCvWKQ8OTTNYEUxOS6XGHTVOK7RsT9m1fIxHL/PvPNDlzdpRb9rrs35HQjzs88bLPaNVlYsQw2gipVWUuu1oDxUrXsNxKaHWr3HnVGs8c6nH4rGK0WeENB0b50fcs8x8+C88dr9PtG9Y6DvMrTWYma0yPDdg+MeD//O4ezVqLl07BkXMS1zUoZRBCA8b+z0Acw46ZhNuvjkkilyj2MabGIHSZW7Kg7gcOg1Dl8q0fCgYpuAchBKHNygahJgg1gzB1tkIrgaLEXufltYRW166+7QEstiUXusen3n7xd6fOHtq9U03/yNHYmMVBRNLw/vsz+V8JwH/zdz7OwdmqWvyTr71vlMXf+bU/X6m8eNjlZ39ggd1baqx2agwGDomRdnlNJEpJpDQoqaweVgZXScvajmDgKjxXErgSP0wIIkM10gSRJgwNzRiCSBPEEMaCQSQJEp8oqXD4eJ0XD0NiDBbaVhu7Ejxlaz4aPly1EZpVGKlLxhqKiVGH6XHYNhOwcWqNyKzw7z8zwomTI9ywS7Fri2T3llW+/krM/PIIN+6UjDU1Fa+PL32MEsSJRBhDnISsdivML7vcsL/KdXs7PPpchQ1jglqlwQ17Nf/gfcv8P5/VvDLbYK2rWesoFlcdJkfrjDWrjDVHaNYipuoR228I8d0Y14lRKkEKG0wY7E0VRYqFRYcoVkSxIowUQZQ+h5IgkgShZBBKglDYADUUKYiz82qfM1Db160MihJBoqEDxFrQDWGpC1s2tfmJ71liV3PAo8+M/+ZNt59sdyozNw4Gg3N/Fdj77w7wr33lE0yOVdSRU6vvf+GV+Y+fOHGqsm28ypOvTPJLn0j4uQ+vsHOmR69fpR96RJEiThRh5OCmNpjjSNxQ4SqDG0k8R+BFgsAVBJ4ijCRBqIkiQxgn1hWJS0cCcWJIEk2isXpbk4NbCBvAOhJcF3xHUPEFNV9SrylGapKxEcH0eMz2mR6N+hqfeSzkoZfHWVtqcs02xfaNLnu2DkjEGvc9XaPuOkyNKRq1AS+fwHbcbzX0AsW1eyKu2W2Yu5iwuOrRH9R4x80dHnmpz7FZRb0q8b0mV+/S/MsfXObBV/p8/sFJltuG7dMJqy2H0aZipO7SqLnUq4aKr/E9je8kOMpKLZm2VhqDTVhpQawlcSKIY0EUS8JYEEWSILLOSxgJwsgQhhBECWGkCUvEEcSWtcPIEMQQRMKSSAJBIhgkkl4InSBi/+Y1/q/vX+L2/VWOn5ugvXrKP/T8n/Cy2HLnan/iU7/7R59KPvy97//WBvhapy/bnfYHCef+0/zFhUoYVRmtJmwZldz/3AbCEL7zzjW+8+4BzbqN3AehRxQ5BJGD6yR4kYPnaFxH4UeWtYNIEngivSAiDRghjKR1EOLC9osTTZJYdyExqVOSuiVCiFQCCZx0dfA9ScWX1KuCZs0w2tBsGA+YGusQmzU++YjkY1+aYLpS4Zptgm0bXXZs0mzfuMpnnjCsrFTYP6MYa0KjFjF/WrKw6uPttICYGpGMjsKxU4bVtmZuqcKeHRXecmOHLzxcYaIBvueh5ChX7xb82DsXcOUCf/7oGK/OVtjQjpgejRmpKxpVRa0qqfoOvge+C45jVzwpQIoSyLE3dqIhSQRxQgp0iBJjmThKLClEqX0aa8JYE0akoDYEkbUgg1gQxIJ+BL1Y0omhHyRUvB4fevsS33lHj1v3V5mdH6PddWlWPI4fnfNbWvzmlXtxalX3j7A8860J8HPHfo8k0T/4yOMX/023daF5xdYGjorQxjAZGvqx4uvPz/DkQZ+F1jx/970tJkZdgrBKu+fjRh6e6xKECZ7r4LnZ0ioJI5tKDyNBGFuQRykrxTFECSSJdRK0tgGX1ibr4UzBbQGulEh1vQVIxYdaRdOoxow2YqZG+0yOrfHY4ZDf+0qVI6dG2THisnsGtsx4bNkA+7a16cVtnjrUpKpcpsYUow0YbQSMjcR4noMQ9ubqBx4r7Yi1nqHVjVlY9dg20+DW/Qt85ekeR2ab1PwIV3kIMcLuzYofeOsSN+1b4Pe+0uCpg6Msdx2mmzGjtZhaRVKtKHxX4LsS17WxilKk9qFFucH2sGpNDvQ40enqllqLsSZONGFsSwCi2OQrYhBDFMMgEgxiwSCGTiTpJtAbaOIoYKLW5u++d5mf+ECAIxrMLoyw2qnQ6rlcXHI4fTFhuX2q6Uj97+vTe73/+6Of/tj//iPf9a0H8NZaGynVj3zsk7//SxvUiYnxZpNEG0YbDq1uQtVPGPc1wahivjvOv/mkw6snl3jPXR3uvq7NhskBnW6VfuDhuR5h5OB7DmFk7b0M4FEkCWO77EZx6mknpNYfKXNLtKEAt01S5t66o2zCxHMNFU9TrcQ0KjFjzYCNk23mWz1+7XMu9z0zzspqnSumBNumBZunPbZMC3ZuGuB4a3ziIYeT5+rs3SAZa0hG6glSBswuGnxHIgUYIwgjh+3TbZ4mod1TrLYN8ytV9m6p8J13t/jU1zxOz/u4ToQQLtrUiWLJjTtX2f69be57rscf3DfOs6frbB4TTNYT6pWEiifwXYHn2ljFUdjAWYq8JsNgbzJtsE5LYgGfgTxOrKSzPnoK8DSOCWPL2v0EupGkG0Mv0sTdkC1THd50wyrfcVePt90A6Abza006vQq9gUunp1jtGDr9mHZX8eTLpyZ+6sdHPnLzLT+q/pfvHXy0Vq986wB8YblFhPNDZw9//Zceefrl6R96x0X2bhxw4vw47W6V2QVw0uq8MU8Ta8nKYIQ/+brHwy+1uH5fi++9p887b11jctSnN/DpBx5R5BLGLmHk5IFSHFsvO0oybSlJEpsFzbW2FuSqxFjmlgKUsq6DqzSeq/G9hKof06gGTI526Ud9vvay4Y+/PsJTB0cZ81yu3mzYOC7ZMOGxaUqyZUPIrs2rvHS6z+cemWJEOUyNCJp1QbMW0eolfOmJCg3PIIQFVj9weM/tAV980tbEtLqahVWHLdMN3ntHl6cOdzh0zKPuxygpLMh1jUFotf4PvKXF3o0LfOLBNo+/OsrZ1SozTcFIxVDzNBVH47lYS1XaG9kyOWTlRzqValoXK1ycAt0ShA0coyQFdmJZuxcLugk25glD6tUe3/O2FT741g437kmYGvPodOusdar0A58wckgSex1W25qjs4Zj84ZdW9doLT49/dWv7/6ld3/7G3U4WPltrzL+1xvgvd4ardUeIxXx4U996ZF//Zt/9MWJl06usNpr8D13t1lrwck5wVpHkhhwpKDiGMY8jUSypqqca7vMPlnjyZe7fOqaNu9/S4+33z5gYtQjCPwU4C5R5OaOQJwo4lgSa0mSFADXJmVuXdhRQpg0qMwCWI3nJvheRNUPaVT7JPT56nOSP3xglIOnRhCRz44xw8ZRw+SoYmrcY2ZSsmkqYttMm3OLHf7z5+vEQZUtWwSjDYdmHZq1COGGtPt1RhsGIQTGQBRLxn1FrGM6kUenl7DaVswuVjmwq8GP/401PvJHPmcW6zgqSm8MhziuMAglMxM+N17R5ppdXV45M8sff73KV54d5UKrSt1XNDyouzYB5ipLJkqmkqx0vTRgNGnXjiAxEKduSJQIwsQmifqJZe1+YoijGB2FTFR6vOOeNT5wT4e7ro5pVhyiqMHKmk8/qDAIPILQIU4EUhrGmgm7toZ0RYuNW/p84E0d9m9dYLX3R9Mnj4h/PbbhjfH8xfnfdfwKf5nzE/9SAR4FfUbHat9x/Ngz/+HoS19rMojYUB/hpcMjvHgkRgJTVcNkPUklgsFzBDVjvVtHCrrKoRM1WQgq/PmTNR462OMN93f5X7+rw5Xb2kyPKpo1hzDyCGOXOHZykFtwSxIt0anlaIzI0++WuTVKGRylcZwY34txVUi7H7HYjvh3n6lwamGM5w6NYrTHRFUwPWmYHBFMNBUToy4bJiQzEzGbp3pMjK5y3/OaZ18d5ZotgrGGpFGTNGuaejVEuAG+7+Ao+/czG7QfOPQHEbEWdPqaTtew0naZW25y274utx5Y4xP3V6iuKBwZWUAahzjxCCPb4zk5WuGm3V1uuqLL02+6wJlFye99ZZSFtRrnl308Jam7Ai+TYdIGnjmRZ1IFy+SxEcQaIi0IEhjEEGoDSQxxhFQBm8b6XLPdXo+br0xoVi2wWx2PIPQII5dB6BGkq6zWAkcaRusROzb1ePddXQQao0dpdSpcmK/ytacenThwXfU/3H7rDavdXv9zf5mY/EsD+ENPHsGMzagHvvgHVyxePNGUpseezT6NSsRqF3qhAwgqrrFVglhbzjhWEEthcARUlKGqJF3XpR87LIc1vvLsCI+92qfuB/ytb2+xdSJm+6Y+t13VwRG2RUwIK1dsVtLWShtTYm4MQtoCrSAyGGKQMa+ckjxz2OELTzV45WyDMK7RcBRTVcN43TBWM9YHbzqMjzhMjApmxmM2TfXZOLXKQwcDfuML02wcdZhqQrOuaNYFjVpM1Q947KhiEDq4dQsqYwRhLKk4iuv39nny5VFb+NRPWGu7LK35zC+N8ePvnOf80jJPvjCFKwERoYE4dggjlyCUdPsOY40Ko806t+7t8aZrenzvmxc5fE7zxacqPHW4ytGTdWLhEASKXqRQwpY+DAeeaU7AaGJtMFrjioQRL6RCxK03dNm5ccCWyYgPvT2g6inqFYcwqtHqeOmK6qSrqxqWkIlMQx5DP/AxaxMYI+gHDittj9kFjzPnWyy2vt5sr5274oPf830q7LyaeI0Df30A/vjTB9k4M+Y99cDTf/u5w4N/s7Jwin1bGqx1HPqBRElNIzIk2uT6F0Cn2lAKY206ZXBj8JSmlsDAEfQTJz0qdDoJ//oTY5g4YsPUgAPbBkyMxLz/LX22TYdEkUj1toQSc5PqTyk1Qgo+/WCVl07UEY7DmQs1ZudrVKqKEV8wWjc0K5pmBRpVwUhN0WwoxhoOE6MwORqzYWLA5uk2iVnj04806Xfr7NliaNYUjZqkUdU0KjGuG3LfkxWCnsSdtt2imUSpVxXveEOfh5/XdANJt5/Q7jmsdRzmlmtcubPB++9q89wrNc6sNFBSA1Gql12ixLpJg1DSHTi0uh6Nao16NeDKLQNu2Tfg3EKL0xfXcNyEF086fOrrNYRSFtzr5w8aDdiJBFGYsH1DzAfe0meymbBvu2HDBCSxSxA2iGPbNRXF9ohjhyixcjGKlP06snGR1d922YgSSbfnkmjBIFS0eoq1jmC5o5mZPsqBHdP/5vypp3tTMzs+tnDhYDi96eq/HgA/f/48C4tLe+cvnv+1gy++IFd6FZLIIDFUfFsB5EeGWIPRBkMWxUOiDCoBJzG4CbhK4KWBTlVDIzGEiSDQgiBxCbRLrGGx2+TrL2kMCX/2lB3ZgNHpkWXxUotMCIRQCCGRShFHDlI7uI6k4cPOKUPd1dR8Tc2Hmi+oVyWNqpVDIw3JWBMmRmKmxgI2TXVIWOXf/WmFR1+eZvcEjNVS9q5JGtWYWjWkXutTrdbwlUTJVINj5UAUuQz6gn6Q0AkU3YGm09e2Za7ucX5+hDsPBPyD757nVz/lcHbNRwiNMRE6MUSxSxhJBoFLt69o9B3qFY9atULNr1HxIxrVkBv3hHhuxM17Yj50Tw9HxWkSKK2tL4vyVNJpLRFC4rsK8BgEDsurjq3bSbKYxz5beWgL1qIsFoqlzWyWAK4pEk5JYm3dfmCrRa/aJdi/o85jj78q9x4Y+bVer/PIYBAc/MvA5n8zwD/3hd/Dr/aqraWj74taZ8T+7R7La4ZB3+A41peVAiJliLVBJ7YQSOvMphLEaelrkoCriyg+TiP7JDHEWhBrQ5RqxFhLIiNJtEOkfZLU9io/8iylAEcIm6lUUKkaKo6hohJ8F3wHKp6h6guqnqRWldQqjgV4XTDa0Iw3YyZGA6bHu2yaXuY3vqD5g69sYOuoYrKhadYVjZqiXoNa1c4pvLisOXHRp+LZ8lvIKv0Eg9Bh54xmZnJAe+DRH5iUxSVrHYdGtUKjNsqH7lng5MU5fvNzm3Gkg0GT6MSei9ghCBX90BZF9SqS2sCh6rtU/YRWx8YYnpvgOgmum+BI2yghZZLX1QuR1q1kEwqMBWVLp1WW2sY1Nr4pYp2sCtMCXuRAjxORBquiALiGxIgiwZQIgsjmHlynwvGzPnNLMa+ceU7cdMPi+667evOJe+/7eP/b3/G3Xl+Aj9UnvbMX1376kWfO//TNe+blVbtHOHKmSrdvkwNJopFS4Cir77KMol1qBYkyuHnSIc2ypf8uTu2r/DWdRfvZDQLaiDxQKmtuKOSPFOBIjZPXkNuVwnWM9Y0dQcWXVDxJ1VdUK4pGVdKoGUbqCaONmPFmwORYj20blnnqaMAnHtzEWMVnQ0PTrAkL7qqkXtHUKzGNWsBTR+DFwzWumDKp7i1YrB8obt5n2LOtz9MHR/P66m7fSUHuUqtUqVZG+Z43rvDi0QWePDRjZ8HoxJbDxoY4Mnk9ST9wqA0M1Yqi4ml8z8X3EnxH4zi2DNlRGqW03YJF2tJghEFQ6LkiOBfp+c1AngFWEqep/yQFdKJt+j/RsgRuhuzaJBEpYQlbPhHba97u2Zv76LmYSr0jNzTNP1+cG/cG0eQvAuHrBvButyejsPdzi/O//RMnTy57vY7L7VcafM9eRKXsh1bKECcCJ7E6XKfPiS6SDYkWONqg85OSZR+x7JyCXBuTWn/kyZtS5n1oxc1S1VlCx+p8YQHuiLTc1q4yvqeo+IqqL6hVBY2qoVlLGKnHjDYCJkb6bJpa5ckjfX7u4xs4e36UXZOa0Ro0q4p6VVGvQL2SUK1EeO6A1sAWi7nKIGXxzizrSaLYo1mN6MWaXlpn3RskdHqSVlVR6/hU/AY7ZiL+5d9u8bO/I3ni0AYMCm00SaKJkzhNpSsGoaLvS6qBouJJfM/YabeOxnVNXtujlHWSpDSoVKYIYS5p0NVpHKN1wepZ3XyiBTrPN5AyfPbZSq8nWXmASEnLJt+sz25s1jkt5JocE9xyjUt7teMdWVr9yb/3I+9xg6D/T32/+hdO5/+FAT7odzAm/sWnnnr8Hx05Ol+5ZleTQWC4uCRp1MDzLLBiJYolK82W2aInU4BWmZyldf46OUsnqXbP2TotA80O1gE8ld1Fqa0gbZIg7QhPy20die/ZAUAV345kqPqGekXTqCU0axEjjZDxZp9NU2s8ebjHz35skiNnx9k+bh2WRlVSr0nL3lVDrZJQq0REScjv399AKoUrDUoUNqE22XLu8gNvW+XLz4Z0Qp9eCvBuX9HpKlq+Q8Xz8d0m+7bG/MIPL/PPPiZ4/OAGtJEk2qbVo9gWmgWhJqjYclffF1Rcge/ZzKbnmDxj6yiNVNYbl8IgsucyQ5gM5AwxuiWlkuwoPZeZulh5s9dKq3SeTNJ5zRDAzJhDr9Pk0KKgHcxWHn3kkf/tjXfdLVZX2z8zNvYXm571Fwb42XOHwehb5eDh6oaxiNG6tYjA+tvaQCxFoaeTTH9Z3Z0Yy+S6BOycodPsWtZ+pXXGJkWaOS13xqx7XxnApQAh7fwQWWJvx8nqTiSuK239hieo+HbmSc1PqFctuJv1kNFmn6nRFk8d7vFzvz3OK2cm2TImmKiXpEnFoV6x9SvVSkzVD3HdgNnlMVwlUFKntlwRZCaJJI4VG8cMcRzRjir0A8Mg0PQHCZ2BpNpTVDwXz63gOiPs3xLzCz+0yD/5LXjy1elUDmiixBDFScrkmsDXVELJwFO5BHNdcB0r0WydisGR9lqJNCeRLTLrMG7BTbZqpiSjKQCfvp4kpaRRqd7FytJUcibFURTC2WsctQ1rbVse0B0k/OFnn6hu2bLxVin/4jtO/IUA/tnP3cvaiqh99E8+573txpPcsL/C3PIInZ5LEIq0HkQSKVucEycF0J2UzbOOE/vhymAuQG4LgwpQZwA35lJgZw8piiIqKUnb3ESatraztgt5AhUXfE9TrRiqvtXPtWpEsxYyWu8zOdbi2WMD/tlHx3j5zBSbRhVTdc1IVdCoSGoVRa0qqFbszWFT/SFPHhJ0Bx4VlfWSWg2eNSEkWhDFDvWK4rarOjz1SpNeVLSD9fqKjq/wPYXneql+HuXKrZpf/tEFfurX4fFD00RaEmmdNksXPZiBJ/E9bdk7rU1x05vbHqQypZBxMs3yXh7k2XkXJXlo5aPJSiJMaeVNpWVexZkdObhthWcU66I8ILbVip0+zK4Zrth+nrlTf+pt3/t9tWee/HLv5lvf/t8f4MYcBTaPPvjVP//P45X4jWHcY+vGLlIKVlvVtN9REUSGMJIoaQMKlYBK7F2uNKl+A+1YvW3Ws3YJ0DoHtsmZm1R75xdD2IIiIVNwp0VGKgc4KJVF7eC54LmaipcWWPkJ1VReNKoBI40+Y402LxwP+GcfHePF09PMjDpM1TQjVahXBPWqolZV1HL2Tqj4MY3agIde9FhrVRgbK9LkGWAyqyxKFNMTinuu6/LQM9p20YS6BHJJxZVUXAfX8XCcKlJqrtxq+KUfXeCnft3w+JFpIu0QZRWAicmZ3I9kXl3oOdLW1TsCRwqUk50b8veX34RkaX2TQz1LCK0/dOk5D/z1pWSVJCWA66Kc2RZzZY3Rhm4Ai13FmZWQ/Tv6nDmv3rgcHvutrQfe93e++PDs2rve+F+3hfl/NcAPvjKLkgs/1e+++sHr95xg1442Kx3B9LiDkhrlVFHKQw5ULhNkZEs3nTRydrQgUcWdrkvazuTL3zdh7lR8Zxm5rM7C6smixlupomLQUdj6DMfguraxuOJpKl5CtRJTq0TUKwGN2oDxkRbPHQ346V+f5IWTG5gedZmuJYzUTArulL0rkqpv2b/ix9T8kFgHdEIfoSRuxuC5Bhcp06V+ceRS9wa2XCCsMJaBfJDQ81S6JYrEdRxcJ9uA1nD1DsNH/s48//g/aR4/vIFIOwSJIEx0yuKCSqTxXYPnCjxHp6uXTPta7Ypmz48orlUpfslaBkunOy9YK4M7J6ESMdna+zR20oWpkEuUdCJXmDZQ9EM7tWypJ5jtGDaMdjkzG/OnD53m+qv8Dx64cuMJz4/+yX9XBj937iJbtsxs/0c/+x+vefK5Wdp9SWg2s3O6zz/7wQ77txobcadLlkWesvUfsfW7lSQPQLJKv8wVSYZOnCgxRZGVLKxuU7B2OajMltu0Q0elwZTjGNsRlBYhZdWDFTdJdXNEtRIw1uwxUu/w5KGYn/mNSZ4/uYGpEYepasJIxdBIwV2tWDsxA3fVT6h4Mc16yKHThgefq+NJ22cqZXEjQrGUR4ki1g533xhxxa4uJ85WmarBILRsNggSeoOUhR2F47goadKkkeGq7fDLP7bEP/l1zSOvTDGIqgSJJIwNtZQZfRcLcidbvXTe2ypVkq9wSooSwEUJ5FyiVwqQl4jHmKGVNstzlNl8yO5NSgCP7MSylb7gfNtwYOciP/+3FtkyCWHcQ4qQEVO5ZurK/2P7/NyFMxtmNv3lAzwezKL82o7ZU0/+26s3Db7j+Cse7c4k7a7giYWYn/mtFf7F31ph78Y+/cDDdbO6EI3AdnurxJAoYW1CI0oMXrgLub5jnUtyiVtSYu4yuIVBqswWNEU/Z8rcnqNxXY3vanwvpuLFVPyQWiVgfKTHaqfHwwfhl/9whpeOTzKZgnu0amhUBfWKyL1y67xoy96eBXjVDwiThEG/QkXZm0xmgMkXn5KHHDtWyzuBZbJIlACu8Tzb7OG6EkcplHRzgCPg2p2CX/47q/zrP4p5/PAEF1pNBnXJaGJoxIZKOnHAd03q/WdOisnZO5MqGcDz95u+6TLOc02eXhSTX6vSiqsLaVnIlmzWuEkdldQiTFsKw0Sw3Bdcd8USP/+DK9x4RY1Wt8FKUOX4uQqLr8jv2LnwRHLdtVf/b68enT19YO9/mVT5Lwb42bNHcdzaLXOzT79P6oPs2z5CxYtZ7WpWe4pT5yb59EMJ//xDIcak9dbSWlIgkVqTSGE/qBKpYyLSu12s09qXAjw7xWVVmF0EO+4h6600qTwxadWgZW7H0biOxsvLYy24fS8F93iXxdU+v/T7NT73xBRL3TGmRiRTlRTcFau7a2lgWfUlNd+kDG61d8UPgZAHXvBYjTwmfIbqsRHlJT1LWTs0fYe33NDjySMhnchnJG3sHYQaL7C16p5jAe4og5IuQtoEDQb2b5X86v/a5otP9vnF397A+aUx+qMOo56gEWtqMfiRHb3sKTvQyM0CTSnyIDh7Lgfq5RtTiLxXpGDxjHyy/EQpN5EBO687N+XuqtQTzysrBFEU8V13huzcMMGxsw1aXZ+VtsfJ84InD73Cbbr5vplp//c73f7pv1QG7/V6VKvVPY8/8eg//PSfH+PsnMIRmkZV4rua8TpsHJNUxThnLob0A1tQI6RJx61ppBYonVlMogC3EaU7Po3STXEC86CyxN/Z3HsBebo5cwFkWvtsbTALbEdZcLtOgucmeG5MxYvwvYhGtY/j9HjoxYTf+lKTLzw6TaibTDcFkxUrS6wFmPnkKj1Eytxl9o5wnIDHXh2lFzpsrJn0hlvP4GmgqSVRrKi4iluv7BNrC/B+JBhERef6INA2OHREyuKpvZcm1w2CyVHBB9/cpeFf4Le/1OfhVyeYi6r0KpJmbKg7xoLcSeMQZdK4xKQgT4khjV+yeixJweLrdxQsgzwL+ocIKjMNytIzT9ylThmWAGqeZueUIBxMc/C4xyC0xWRRJJmZiHj3XYIgPoIy1/zDu++84/nBoH+sUqn+twP8mZfO8egjX6NSbW66cP7Um4ih7jZxlMZzBQIHg02eTDV8jp+z2T+l7MlXyuRsnnmoJu2w0ZfR2fnJATBi2A/MI3yzTpqY3MdVUqcA12nNdwpuZWsxfDfC8yIqbkitNsDzevzhVxx+5XenObE4jutXmGkIxv2Epm+o+1BPO+yrvs12VtKEkK1fSdKVwMqTpXZCN/TwlMKTJg8ws/eefW5tssZfSRi7VN0BM6N91noN+pHIXQXP1bhuktp86eAjqXL/ughcbeXjd9zV5eYDi/zy7w34g/umWInr9HyXuitpOrYGx3fAU+TNEE6W9JHkN2SWBc4ynEOaPL8YJeopkZLJSyfWOy7mkuDUYBNxng8bxhQrKx6HjIPjpLUxxuB7Lo4aZfZiwCuvHHlTEsebVlc7x0x4CuHt/G8DuDEJU1vv3NFZefk3nOQ5rtsDcysO/cAuLxh7YnxX0KgZtNYkiU3PC2lQGJDpfA5DXsaaATqrISlOkFgnS4Yf+QmX2SDOMnObdG5hmbmTFOQxnmMlie8F+G6f0/Mxv/nFOp99ZIKT82M0ay7jFRjzExq+SVPvGbhlCm6ZJ4Uqqfb2PXvjNOsBn3nM4diZKhVl62/ydjEKlJvSKpYkkih22L8d3n1zh9+6d4JuzaEZGQaRwQ/TuEFpHEda90NRArlbulh2Vdg2KfmZ7+9xzc7z/PoXxjk5N8JKXKXnOtSVoJYC3ZPG3jipy1SwuMmDdSHSTWHKFmJpNR36qqzH1wP8Mt9DlpArpFGrnZAk4LnSjr1IA/JBYLiwqDm5fJBrr9v9G299283fHg/a31SqfEOAL65GTI46PPTEs1s6Ky/t3jo5S6syicEOYowT+1GltNF51dNU/LTeoQS2LEWdXYSMxcg/bHHh4dKiqQzY5ExicnbJ2Tv9e9Y1ydg7wXVi27njxPh+gOcEdJKQX/ukx29/cYbZ5VG0qjI+ohj3DCOeppYydy1P38u0TiWVJql3noPbs9nLIAo5dt6nG/qM+amLkyWdMgbMZJcp1aREDs26w84tIcof0Akb9D1BNbIWmpfKKzeVKE7megj1GsGrYmqkx49/R4/33T3Hb3+xzW9+eoKlfp2+U6HiKGqOoKoMfmwsm8u0Jl8W5Q3ZqrieyeFSuTJ0/dZ9nzH2+n8jUuwoQCZ2HEW7bzOyrmPzGKSBaW+gWWjBxXMrPPb0y7uTwWJltT34Zvj+xgDvtBYhaUxVPfeTn37gefcN+102Txka1QTP1Xa8ccrg1qmw7oTrWklgx4iZHJzZ/b8eyMUdLdZp7iyJUzq5aeWbylLMogxujVKJBbiT4KgEz42oeCGeG9IahDz2kuQPv9Lk049MMEgaeJ7HhCcY9TR1z1DzDTWvAHfFl/i+xE+liU0Mpc5ECnDPtZnPUxcNDz9bI4xc/Lq5JMDMHlkckpWihpHCdR3uubnDJ77a5cj5Ov2KLScNXIMXgxtp3FCjlE2eWcaTxXCfDOCZx64lNd9hw2iff/w9Pa7cFvAHX2nwzKERFvt1BsrDdR0qjqAqwZepjZrZq9LYfIJg6GA90MsAL31RuC1iGPimALcQILT9W2V7MYjsTPYU3zaNH2s0guv2KNqLz4vnXti+q7nxh4/+zu/+of7BD3/fXwzgU5Pjcv7CsVtmTzw6MlppcubCCBU3puYnVLzhZUZKU0x8dbJyTJ2nf036scqWahY9rwd1+WFPpG1xo1wYJHRe7mlHKhsclViAqySXI44T0epGPHpQ8PF7m3zluRFWWg1ktUKjqhh1DU1PU3MNNc9Q9UhZ2zJ31ZdUPEXFE1Q80go9nYJb47tWfysn4Oh5mG1VbGIl1bfDiZMivrB9kGmZqZaEocOGpmDP1j4vn43pRW46OQq8EAs+laQSJUvUgFzXmZMH8akNGSW2PvwD9/R5+xtW+drzHX7nvibPHGqy3KnRkh5dz8FTAk8KfInt4ZR2l7qslkcKK11EKfeQAbzM5kOB5zrQX3JtyZyvtJRD2UxsXgSW/q0sZz1Rhx0TVeYXcBIx+olrb1z44FX3vPe+H/zwaw8P+oYATwYn/Wat+5+mG4frt1wVY4yk4iV4XpIX8Ns3mjkZJpcIGfgyBi/svdLJyO/s4Z+UvyukyfDvkzIDtk6fE5RM8DI3Q0YsdmIeetbhS482+NzDIyy064hKBbfh0nRgxLWdPFWXVHZA1RPpIdOS01R3ewI/Y+8M4E6M58VUvBBjIh54zufMxSqT4wJX6vTGF0Wjb+liG12UnyaJoh+4bN8guOeGHp99IqQbufQj28PqxZbFg8iUVimV+9UIOSRT7CGLRgVt/faqH/CBN/f5tpuX+bNHOnzx0RoPvdRgoVWjLzz6noPjKhwhcKXAlRJXmFRqGeuwUJKI6cUSl7u2l/t6qLYic8HSlkUBYV4cZ4pSAVH8uziBV05GdtDnidMjN94S/ufDJ85dCfT/QgD/+mMvYXQLPzrCdXvrtHsV2193Obim0sEGDSkIKRISWUF9LkUofk121+e/MT8BppAlJYBLYYEtUoA7ToLnRFQqEYMg4cgsnL6g+OP7R7j3mSYLq3VwKzhNl5qSNFxDw9FUXUPVhYprwV1x7UxCW2YqS4dIf25SkOsc5J5r29NOXNC8fMoH102X+cJBEessiGz1ypwU66bYcc5X7ww4sKXL4dka/YqgFgv8yBAoUmtPp+yduSmZBVloldxnT61IrVU6fcBlELpUqwE/+I6A99y2xpef7fInX61x+kKFw7M1wjWf2HcYOA5SSZvOBxwpLfgoglAlimu0Pum5HuRlQivfFBa8ZSlkEOUSgfwQ+TnrDDRX7pgl6L5I3/nGW6S8JsAX5s+LIOj/wz/61H+afOwlzd//zmWu3y0QuDjKFtcHobLBImXnw5SW5DI3X8bvK98qQ/eMyYPJbE+enLWFTgGe4Pt2kmqcJMwtw/1fdzhxvsqDT1WZXa1y4kIdfB9Vc6g4irpjqDvaugiuwXfs4HjfJQVxdsj0UCnASTV3Cm43wXcte9sbK+TUIhw6XcOVw/ZgLlEo6sELTzhrHpBp25fLge199kz3OHgyphe7NCJB4ICXzgRUJYBLKezs9BKTQ9HvmpVCZMFsnPZTRolL4Ho0qyE/8LaAu65pM7va5oGnPU6e8/nyczUuLFdI+i5aOkSeQkhpVwqR/r0UmBkYv5kuXw/28g2RMbTIpjKVJI42EIeQxNpW7ImQW/a2+LvftcSJU4cmr3rX3/mHs7OzH9m8efNlVe5rAvwzX3iEOIk/+PALnfrDr27m8GzA1du73H19lyu39ZkegSu2GQS2k1prmVtf+Ts35Y/yGp/0EswXy5PIJUmm6a2+dv2EKDGcPCd4+aTi/qdqHDzl8eqpKu3AJwh9cD1U08VXgpqCmqOplnxg38nqNLKyWVsX7qeyxPMUnifTG8AU2ttN0qH7VudXvAijQ+ZXJIHxcRyJJ+0IjDxhss5DzkCemOF+xzB2EThMjYdINaAbufQcYZ2OqCgYc5QeykDKfMdnIBt2hMBoWTB51kOZSNxE5eMneoHHzFjItg0RN+4K6Id9/tapFgdPe9z/ZIWXT1U4ebZCFCvwFUYqtJAMZYMymGYFWsMAGF61h8LPy11+k6b9NUQJjtHs2tFn02jA/m0Bb7wu5MqtMD3m8dShufrC+Sc+KKXzkdfC8WUB/vUHvsrySlt9/bGjYmXRZabqMrdY5+j5Me5/vs+I7LN1Y49r9vb5tpsC7r6uj9EC1xU0a/Yk26XSDsLMi6WyXO/Qxyt90DxC1ziO9dGF1EShoTewwD99XvJHX/HpRYoXXq1w/JzPUtcjSDxwPFAuqqnwpKCqoKYMFYUdZ6bSwiNlWdtzhU16lMHtSrxUlvge+B6pa2JT5q6j8dw4zYhGVCshC6sJ9z/eoNXxGRsROFkMUsLB+odJs3p5QKglQaCYnFC8/bYBX36mz9lWnb4rrUxxwI0NbpR51qnHLhNrF1KedSLzv6GNU/obFuheokgcRewqosQhilxrpboRdS/irqtjbr0y4L1vGnD0nOTFQy79UPEH99c4NeeCkPT6DkmoMhMb4xQAN+IbCZbCLzSAiC1NGxuYUK1rXDcGk3DPG/p8200DrroiYcdGg4dH1avQ7ddZWqsyVa+ycPGsaIxfpR568Gvxm+6+578M4FLC1ETj1yYa0bV7N0tGVxIanmG5J1nuNzjbr3P6aMQThwM++eCAqZEAo2Nu2BPygXt6thwyhqnRmOuvjqhVSYfkZoa4WMfrqT5JU+6tnuDF5x2W27Zq76lDLp9/pMIgUgwixcU5Dy0cIuOihQuOg/AdHCnxlKAqDRVl94zxlcFXxtaAO6nn6xTM7WV9mTm4VdqjKXL29lyN52UFWknO3p4XoVTI159XfPaJBspzrN02pL9fm8EzLzxJMsdDMRi4vOf2Pp97rM0fPDBCN65QT3W4m+nwKEvKmLxbSIjsTsrOrSxp/RLAddr57lgmdx1F7Dg4cWKBrhKUsoP0xyoxt++LuW1fhBEB739zj0FkC6P+/BGfpw95VH3BUlvx4ise7a5ErPdEL/uwLF2vGK67MWR6NCFJ68M/cM+A666ISBLJ5IhgvOmQJD5RbGdUzi1XWetUmVuuMrvgEOrg2pun6r+mDT/+X8TgnXaHeqPefPThz+y7bm9LNXxBeETRD2KMSXClpO4JOpFHL/ZY6NWZb8egQ46ej/j8Q/buM7FmZCzmlmsDGhWNzkoEv5FGSV2Hta7imZc92i2FdCSBlgTGscwkHOxcYAchHaSUuFJQUdbL9aXGk+CpFMyqmNFnQS6KhgfHNgJkjcdlcFuGT8tq3YzBk9IR4zsRxoTMLnmEQQV/ROKlaW8liuBJlJfwPKsn8lKFjFkTrQgjl7GGYutkiCcG9GOffiyoOnYIZlZDkrlVSpbLW2X+t+zfkGnyR5eG4Ou0Z7KQRnGcpHkDZRNkKiaKE1Rkx0w4KkGqmC2TOl0xNFduGxCaPtLRtFqCZ152WetZ2TRUgnhZfFu/u14x3HJtzMiowcQCtMQVCoFPnDjEsUun6xJELkHoMgg8ugOPdtdjpeXw8gnNaq+lduxt7fuuv/neZq/Ta9caw1sWXgLwi4uLuKsrH/n8g6ffPOjNQ9Kg07fbN9d8O9vPU4KaI+jHgm4s6WuPMPGItaalY9AJOAntVsLFB9NhPFl4f1mADxcfGyHR2ZYLpM9CFUGOlChhZ+750qacPWnSLUhMOv+kYLwM3K5jO+rt1nvk4LZtXXZLFN8TeA55iall8JTFHbsnkOvEuG6E70ecW9L83pfr4Hi4UhQBZi5PxCUMXq7Cy4aEWrDZwTph5PKht/f5s4f6vDrfoJu41GK7Ka2tAjRFJ47KcgLkvnFejZatFFqWCryyQ+e1MI6jcBM7L8VNgW4TZ0lhwaokd6/s4KAERxiESZisGd51pwah00Axvc5ivdtmrHxNb3CMJIk9klChtS2v7icqB7edkOWmI7MdBqHDIHCIE0mjlrB1U48Z3WbMPfLm5cVzH9FJ/He/KYN/7sv3IYT04sEx7n20jsBly5hNE1exfqWjrBb0lJ0lOEgEg0TQ14pAKzvgR9vNnZIhcBdTpy4P8Oy5tNzKbBtBgSPAFTat7AkrBRxJ6Tlrqi0VEjmU5qCQ7/GTddUXAJe5bPE9k7e0eZ4uDc6JcVP29pwIKUPOzAkW2xWE4+BLhuSJLH2s9FMWtpcZHstQBIKKMHaZaAZsn+lzeC6gnzgMEvATgZvY8XaOAhWTO0tFCl0Nk0WKKztpNytVFSVppHESTaIkysm2L1f5TnZ2SFAZ2BolsslYOk+6iVKOAlEk5tZ7Z4VPX/j1iZHoRJFolTs9dix2MQ8+iOyQIzvvUNCsJbzrtgRjDE8fO4VwPu9pc2m+5xKAz56aQ0rB6bOKbeOaqofdEApb5ujE4EQWXG7KKG4MfgLVxNgRaxpCrYiNSidOZQU4ZsgCGk7o2FcyxrN+a7o5lLBZNUekoE0lQPZ1/lraYFCUgpI32HpKWLAPgVvaZy8DehZ8km9P6KVNEplEcR2rTz0vIibii49VmV+s4o4ovHINR9lBWfdZKWnwYgRDkfQZBHaC7Tvv6PLYSwPacYWe41CNNWGaTleyKIjK/WOhKTqHCqYsBt6D1ulMFQOJEuk8GkGsBE4i013sbNlDBvThhJrJx75JkdUamRLYi8Rc/mGHIF5+T+kUYF2sYFEObuvOBZEztFlWmM5/t9scNvHcKpM1h7mLC1zuMQTw++77KrVa5c4v3f/ozeN1h8mmzMc6ZG3+bpzNnCadrZG2hMW2fsBNDL5Ox/AaiI0dy6uNQJdrvSnVI1DKalEkEpwM5GlWVAmR/73s9axuwpEiH4VQBnY+B0Vh+xEvB/As4Mx0t5PJEpPq7eFacs+N8NyQuZbmueNVcDycVJ44pQKlLNsn1iHcJi2KiruiL1XmnngUudxwRcDEaJ/Wao1erKgpcGP7WVRi7BGVAW4dqMJyk0UnfFbBqY0FlhZoZeuJXC1IlCRRmkQJ4hTkcal4rQzuvERCaMS6jHUxKYviuQz1/P1YGzOzSnUaD2Qz36PY7gJnmVsShNlucCKdeyjSGSsenmvYsrly854r777z2Sff9OhNt77l8gDfPD3AceJ33bgvvv58LSGIfTp96A+KbeTcSKcXsVwXUrCJkmlzsTZ4mdebdXtwaTVZGeB521nKAOvrIOwU2qKJN7+58g4eO1TfSVvWXCVQefdKAeys+dayd6q5HXK9nVmClrELcLt5dWKEIOILj/g8drCB9B08Kez87byCsPg8RaZvfTazPBot88TtUt0fuNx2VZ9339XhN7/QIEx8uomkkti9chxZVCvmMkXKlMXLf+q1mBy0I9OZNIJEacviGbiVwJESqUzJ9lxfY1RUcoo0k53X6pfS7GVKy8tmkXmiy65eKgW43fIwjG0icZAdgWAQynRrQ8EggsFA0x0ktDshs2vmelPrviuK40cvy+CHjs3SbDTe/qdfvPf76R7l+itD2p0xzsxVWW3b8tjAsbvbqlR/FUFEPrYRiUAJg5MOVNe6VBvMOiNlHbjzZ1EGtbVaVSmVm4G8ADopg5OPh7BMnrJ42g3jqmFw23EK65g77dn00vY218kaDuLSERES8ScPNEmMj8qzl+UAs+hrzJyNIQ2OSDvRM5ki7SiNJAs2HQQuH3hLj9//YsCajugnFfqJlYQZi0tpkLHIi86sXbhei8qSNSlKIBckjm0IjpXAVZrEScfoJZJEGqTSxFKmjo0sAJ1nlU1eO1IwebpOlUo0hlcvSsOEigGfccrgYSwJU2D3g3Sw6EAyCAT90NaG94OEtU7M2YWYpV7AyOQRrtm1+fv3XvUdD763e+7LlfrWYYA7IkKJ4IqgG+z+9BcNL+0VvPWGgHqlQpKYdKZI1lFid2jQJhu1JvKxyAiDTCWK0gYtC7aCS2PMoY4RhlmvmC1YWvYzcOdfF7M9sj1pVCpLlFo37CYFtqNE4aTkdqDtuLeNySZl7iLAdErs7bshzx2XHLtQwSgXJSWe1DilmzJr3s0dwvVrdXrovPm6zGapHo1ddm+KOLCryxNHq0TKox8LKhLcxODEIi2CSrtw4lSHI7GCcD2wxLrgtmBzJ40DlDapVElv2HQLEpWOgM7Y2wJd5tKo0OLZ9SyAXl67su/K76X4zCmDp0eYbk7bG0i6fUFvYLcSD4KEfqjpD+yIvfe8OWD3jKHXY3erHV0RRfrLlzB4u71GHAfU/YhdG2oEXYcjpx02Tgoqvq0S9FL2k9KC2260mg5y1KBSlshYWYsyc1++JjZbTuVlQF6cvIKpc5ALUXTPC/JOl4zJs30vy9t/ZwAvD/+x3fbkwM6zlTlzJ+l24Wlw6UQYIj71QI3l5SrCd/CkdXfUev29PsAc8sGz+S/Dddy5N60VUeQwOS757ns6PHe8SZBU6CmPamK1eFbOqiQpuLO1QqeeeFaYm0qVdXpcZ/MeS2PWHE0qlbIVKa0Q1VktkMyTTHbFKGryy8D+xgAvE1425i377MXE2ii2NfG9QNDpG3r9hEGQEESaKLbXbdtMhZqscuZ8gqxqxmdWCIOiESIH+OzxzyClYNTpccd1PsYofM+OI8tmmYS+wPcUUkrixKE/0PlFzIFnigqzciuaWWeJ5kZWDmqzDtxpFrgEFjU01Gcdg6viuZArEuUMA9xz0gFAbrZ1YJrhdIxt1HDSlLybddEUh6Ns586rZ+CTX2kQSA8lVZq9HJ7Jsj6DuT7vUe56GdbhqRZP/WA/cfjutw34+L09XjpZJVIuPSnxEp26RwKZlInApO1l5ZyDTv/W8L5FZSYvwG0nHjg6k4IamWQjJoqRy3YyrcyDzILBSxWGl2jxdYtYXjODtQp1kfzKbsQoFvQHhnY3ptNL6AcW3NrYhoy5Zc1KWxLHgudPHObeR2ZtHUsZ4K8cnmV046bamed/dud44zRXbPbo9mtEcVFMb+c/SwZhQtV3SBJYXLXOii4xd9ZhYicamFKr2qVXObv4ZbdhfXBWrqkeYvLyuIPS+IPy1CbHyTZ5TbW3WgfuLH3vZo3J2s4MyVvEsp7OOD0ilBtybNahE3qgnFSemHXlsZfGFEMuSkkPm/VeeNqNUyR+HOquYN/mAS8dC0m0T197VBJbs+2kGlwJu6JamzVzL+zIjjLIrTyQ+aphNDilCQfaGFQ66tjGM5axE23y852NXY6zSQYis0WH2VuKXJC8RmZTrIsN7PkQ2JvJdewK0u4ZFldiuoOEIEr39NQWVIstQ5ho1voJoyM93npnY+e/+Mc/U/u3v/BDPeVvsgBfW53DxJ23Pfbq/p964LEjvO9NK9xz3SpJUqU78IYq3kgtrovLirkVhyiyf0ibgqmUZMgxuRyohxj8Ev0t1gG87PcWY9mGnlUxZFOWZEl5F2NXkXrhFtwWwMVQILcsT8rsrdK+Ti9kpaP5f/+0wXK/gvBdK09kyd0pD/r55hnrNNAS6c4rZQa3jkocOzRrDn/vOzt87bkmy4FHKB36UuKlPZRZs3DROykK5hQ6L6M16BTc2roYQ86KSBm8GHWnjZ0jqTJQ5wVkBahlbgSk32PdtTKLZwHnpStZVm043GguJbjCXgvfizg6m/DKeZmDX6dbHoZa0AkgIeTuG1Z57+19brr+zp86f/bYo0nc+bOcwZ87eIha1efk6Ys8e3CMQ2cbhOYi33v3ApNJlU7fBWxHi5QJx2ZjHnx1ghMXRpluWD0rZSFVhnTIekCXvhGXMHfR/ZJ3dIsCNJk7YVm8AHZ5yKYqgdqREieVJE4O8Exz6zyodB2dg9tNezmLjnwLbldFeF7IHz/g8sqJKkgXKSV+Ovu7vJtE0b9oP9xrVhOW2LwYS1yAPNa25SyOXa7e3eM77mrz8XsraMenLz18KfKkj5KCaIhJh5lclJk8czBKuzgYA1qBMnZV0EZYcKvCsUqEQKbD/FUJ4MX45fTvpkBHMCRZ7DUvd4KVGCCrt8P+LicF+PaNPRLV4r6Xmpw610QIB+VZQ6Pf1yjR53vessL/8QGN1HUW5y/Q6j6F0XZjCAfA910c12Fq1OH2fZKj8w1+5Xc30u6c4V23rHFgB7R7kueOKg6dlXz5mRGeO1GnJiRRoi/RnMMTSsUwc6fWoiz/mwzoknUAF5dKlCGAW3kiy+CWsgB4nujJAG7snOxUiriqcEvc0nCgQnNb9nYdO7VqtaX58683WGr5UHHXyZPXliiIddWTRcXopbZdqUZcpxIlih3Gmoq/8eYen3tswHLXJ1QO/USm9mQKOCEKwF3iQVv2zl7SOZsXsyCVSXW4EjjG7oKXpIye7XuvtGXzJP2bdkx1Ntyo1AiejX0TphgedBlNPvxaIXGUMriuLRW4YXfMP/m+i3z1mTVePVvlhSMe3b7gyp193nXrGj/+NxSt9lZePuYys8Vl05hLHNnP7dz/yKv41ckdc+ce/AfbJw4zc6vi+lbMHz8U8ku/PcqfPVzhpgMxnZ7iiZerzC7XWBvUmaw6VOp6KCtZnqUhMhCXLzRFQVC+fMvs52IooMyXeVkElyKTJEMyRRQdLilrqzKwVbEXvZMxtyox9yUMno2bKEZOOMpmLk+dFhw9U0HjI6R1TxxRlA4MOyii5GoUJ6Bci1IwuSjJk2FXwfrDDhiH/dtDdm8csHy4ikk8y+JJ6vmXXJycNRFDMsEWvclSPiJlc1PyyWUx4D6LbbS030uZbv2Y3shJ9rUWBXuL0iSvMtBzX7z4WbaaF7NXAGkQJbkbhIqqX+Ndb0h4y3VtLq62eOKgotuHm64MuW5fyJnz43zqAZ/zCy6TZ2f5kQ/t/Ac33nr3CyZ+8bSzeVJQrUUz/SX/7ccXAvZub/DWW5ZpNBf5+Y+O89CLYzx0SAESKRRVR7KhASOerbMeqonIpERJP7OOzYqvxTDrl0AuxHoGLzpXykPt82dVMHhekzJ0pOUFqgzuEsjT/epdlbJ2yt4q/d5xIpSK+OITDY4tVcEr5EnZPVn/eb5ZafTwlKeiAEnnyY9SGW3osGsy5J239Xj61Rpo1zpZUuImaelEMiyVcqmSR/iZbSjTrhlRBJvZ1zL9WqariswOe+6TdMWwwC7HRuSjq0W+H2rB6gWxlb4vOWemlJ/KdXY6FKnd9YljQb1WYeeGkN0bY6RI8DyHTqT56BddvvAQXL3NUPV6rKz4b19dYabTcU87k2Mx1UpMeypmbLRPqPucmG/xtZcbdNUotaaXp6ErafOA7xTPXpY9zNl1WD9/Y0CXXufSAK0MaCGGgS1FSX/nTbglcKfzCYttO7gU2E4xICgf8eboFOSxlScqoloLeeKI4s++Xqc/8KDm2LobMSxN1r//9avXJQBnnf5eZxmWffEodhhpOLz37gH3PtbjqSMepu7ST3w8YSspbXFaiSFFIQlZB/Lhblld3GDKsnkirR7PAJ7I4hrrPNAUJR0uLgF7fo3lMMGtbwSRInXhyjaylojEQOikZcW2Kdt1KmmMlNawOwPeeE3ISyeXUbUKy/2Yc0uwcU3Q7gicQ6cME6Oarz4r+JXfUQglQW4kiCtM1SRVR5dOnsnBU7BiBvAio3jJMPVvxt4l5h5mcVEKMEVJixfAllmaXpYCIlUumzU4TjFC2Uk3YXLUMNDdoZOWsrcT43khUZhw7+M1Xj1bA9dFSJWCKgswSy7Ga1QRDjkqZdZOrdRyXUYWZBZFSFaLh6HDldti3nFHlxdPVwlij0S69LXCSyjeS4k9LSNeCnKz7r2gsptNo5VAZX60FBgFMvPLJSW7EKQuzTLUxapRkFyZ0e1rmnUAl5m0KbLeBg1G5dItTpStU1c6DXBtxaPrVrj9ypCb97ZQzgr9Poxu6jEyGjJVG+B86k+/iOs4LK20uWJqhCCRxElW86GLDGOuqdITmbFk7keXM41i3Z1aYun8jh5m6uEPW/4dlwJ7yAMvlckWAC8mp+YSJQW3nfFncqZ28ufiazcNLh0V4XshB88IvvxYjV7fg7qLFFnlYLkm5jJZzNLSXCy+RS2KRVexudZQ0qfckJwWYIWRS6MR8o7bAz730IAXT/rgeAy0xMu0uO3Vza+VECASIAUeSRnsBbCNsUSVSxdp2TxbVfLrawo9nsVBQpdv8vRa6rJUyuIpQ3lWen7NTcriOr2hpLFxQbqXaiwFTiyRUg3Vu+Sj+9JBr3Ei6A0kF1cP4bjnMSbB2T2zgqMEk7UEX7i0OppBqInibF9KLqnhHtom5DL6u9Cj4pKLXQSel/nZOuekWPZEocGV/T4vuFLl56ydK2t2SKNxlYE7Y3I7ddbJhlrmh81WOsomdVw3IjYJX3i0ysMHq1BxQNqGZi9Lk5dBzbqj/M1raPDh4ZQi3408c1SyQDMDejBwedPVPd55Z49XzlSIYxcjFH3h4CbF+xFJSQNf8jaGmbw8xF6pjLktm9vvBVKLXIdnQJc6DToz8kkZfIi98xveIHSZ1Ex+rXVq1SshkOm8+CQtDVDaZkwjYdKZ6GRj0XMf327oJekFkuU1wVInIExipDA422YCHGVo1SVR5FGraLr9mCAFeZY1ygaZZyjPLuB6xh76UOuTHuIyzF1q65JimLULmVIGOkMrRgF0U2Jyk7J3euTgLnS3WwJ15pxYx8Q+KxXhuREvnJZ88oEG4IF0EULhiqzJwhQVj5dZsTJIZfWEQ+ncUnVlUXSUMbi0UiERaJWOfsj3iXcwxuEDb+lz/+MDnjlhJwlEWtFLRFrwlV6LJGXtTHEPtZClXxtjWbwM9PRQKei1TO3XLCjWIic1kbJvxsJSZEAfBvtw8s6gh1ZtgzQCLUqBq7bXPkks8+fBaLbSpQV9cSKIIltK2+7B8lrMYk8TGluL4xhjiBJBrRKzc1PMOVXBUZIw0oRRQhjpdAtAm64tZ5zKIL8cC4t1FzxbruUQqId/LtOjPFI3A3h5tSiDvNiOI2PxYncHJ9+uYx1rl57zoEVl+jvGdWOiJObBp6q8fLwKrgvSKTU2XFr1uH4Tp2HWHOZPU/oib4AoZxbL1YWJ7VG1pbQOQehy1e4Bb7rFsng/sSweCI+Btls15gyZZHahgWTdTYa5BNT5yiLBKAs8W0RnA1FhBEaANCJncSOG7cOh66oLBi+DvczsUpcIMnVTRMnTL2YUFucmjm3jQxgJghCCEFY7CWfmI6SnqFZt26TzytkYIQVxFKED8JwKzbotXgkiaau3QrubbpJkllLWlpTy01BEnFlDYh17l5m75BMPsXl5jxhRkj7pUdqxLN+Dp6S7C7AXIM+2r87mhTs5qIsJtMopATyVKJ4Tceyi4HfubRBELtTcVJ6Qt6Ypsb4Gg9wWLZa515Ao6+rjyzKl2NLltbS4Q92XfPgdPb7wcJ0js/bmS7SilyhbZZikyZ90TReJINsRYv32gPn/p7QtS9JJpRpdGoPR9hoZKSzAdWmlTcE+bPMOX++C2QvmXk+GFuxmCDMZPWSFYXECYSwYhIJBYHfCiGPraO3ZrqmN9PG8CK0N6l//yn/c0Oo0/tVjz8zvl7hMjUlG6lDxwO4wK/OYuywfLINKikmnlz/kJa/JUqCYLn0y3aRKinQeXskVWXdkIxPKHneRrdQpY2cuTxnchf52h4qp0t0f0kaG7EhkyMc/X+P3vzwKvg+qglIONWWoKrvXTVaZ6GZNzmlrXJFJvTTDWpT1rpdYIEsZ0SymEBKkKreL2a+F0WydCZldkjz7skcsFAiFEQohbCltObgvy8PyGjx874n19+DQMISibm4d85dLgMtdO9/0KEoFNOQbkA0H2uV+VUGsBWEsCUJBd2BodxNa3Zj+IEFK2DKl2LVBcu2B22duuO5tX3VMdHp07+a1b/duD6hUXKr+AEdpolixuOaSJHavFKUAdJ4AKJ+c7KSV96K5RJoM6bDLf5/r9jJrZ1Ik02pD+tuU2Ltg7Xx/niFwZ9uZmJytMyvQau/siHCdkKMXJJ/4Wg2kA9Kyd965X3KMym1162vay05BISIv1d8mvbjlxEu2/7uT9S5q26CrE0WiUi2eOHzPPT0++2CNQ+c9SMeqBdrFSeVJvoqm+8GLpOSgpExeZFVNSS6lGpyizt9qcCtbct2dlq0anfrjOg1QL1mxL+9/59/rbN6h1dyUz11JOmUMHifQDzRLqxErbVtCq5Tg/IItJrvt1va3z8ycGnWePrJKp71EVZ/ntn2KfmgjjlgrlGpy9uIISZINnRdF8FG63y/xt9MXXwvUl7UHS8tauTS2kCnD80bWg7u8q9rwBlQmlyZuOnrYcdKu8ZI0UelEJ0fFJCrm84/WOXSs0N5SSOt95x00xVK8XncPlf9e0o053PexvgH5cp541vmuE0kisxS+lSpXXhHwnju7nPiET5hIEI7NcCLszgn5qGOBxBDlwe+ldcyZXLFX28YEShmMzAJOG1QqA0aYIsUvQK8LFEXpvOgygb0WwMvnTJdmkK+TKHkArOzgpgttzdnVJC2fhSgMeNNVSxzYOcX0dIyjTJVOp87nHp/gY1+BXhCC0UjlsqEu2TIa0qjKdMuMdRct++PZa+ucEimzf3cZnc5ldNo65s50mu3YyV4vbxPIMLhlicGzQ5aG8mdgzrY4Kc0VV8pOqnXdiJMXFf/xM00G0k0ZfDi4tF1E5XR4malLV+QbPEx56U+98KyFbShtX0rdJ7oAd6Id4sTFT2L+7vu6/OmDNU5ccEBFGO0QSpe+Fqgku+EKPV6CzLpbzq4wKvPnpQW7TANg63akbC6LwFOnbK4zh0Smdt86YOt1OBgyKdZlO8vEub44SwrwfMP0uOaum9qMjy7jOhEGQa9fpbXmM1IdBT2C88brQha2DFieC/jac+MYUcMY2wggIohjjdZpnXXqRQ//wXX7m+csLvI7UF4C8MvfyWXmzjr2iwSSGZImUpZ3VDNDMiV3TWQRUGagVmqdazLkfYe0Q81vfq7J7IIPykmtQZkPGCr73vnXrGOiy61orwX0slTJGw/KLkqmS2V+5M0QUpHEDpunAn70Ozr88u94tCIbEBgtCVDWNkxEDvJysElqIZIpp0yipF+rXIPb96WyzCbDgJfCvkcpLZuLlNVFDuzLXfsCE5rMOaFEksPPZcmSreSuAkUDxzi4xBgjGK0oHn5O0zvr0hhxcZ497DM3X+PCfJ19m0XeSKyknZVdq9hhMDYILHQ2Yl1VYPn70k1w2aWo/IFhaLnPfNIhiZLLk/KzGWbxTKoonbK5TqVI+ppTsLaT7ZKQsrbKtLcf8Qdf8PmNTzUJtGvliVC5PMmbii9TYHWpY1SG9eUhfmlFoSkBPSullWljt740ha/tVuAVJ+bH39/l6BmP3/68CzIEFImQDHTqpiQZ6Zgc2IV4KkWQKXvncYI0uQY3xjKzyv5Jyto26E13qU5dJWtGFBZlVlx1CYuvI4MykC8H7qzMOo6hO5DMLVdodTyU0jkpbB4fMLVFUm+AMzOhqCqX8MoK3YHLcksTxrYj23bCyLRLRubJlsstH0N7t1xOV5UAXdhE6xhcFjULuRwRheaWl4DbDGtxle3Vk4E4Cyg1jkxy3a3Wsbf1vSNWVuFPv1ZjNcjAbQHuSvDSyVrD8mQd0Ek/X+lYj++y1l4Pcj3E4qU9RYfmpshciyut0Npq7hEv4X1v7fHZR2ssdxTICLQiwiEQIq9TKfvzhcYty5XUJUk1vB0naFAlXW4lSsHiJmdvC3QhyM2IXIpSasIQluYz3FxadTpMkDCMo2z8XJz64G3rgBBGsNwyLK76XIXD1JTCaTb7SLrMbGizujZKoj2SxOR/cD2osz93KcBL4L7MXZizuVz3erkrpATs7N/mjFnW3nn7lLnUQckYWppUW2eyRFPepEoNBZYRbi3mC1+v8NTLVXRJeyspS4VVw/UmrwmY0jGEoUseFliFDZeCuyRZLltlaCSq5IvHiYujY269OuTdb+jxe1/0QIUgJEYIBtqx5Q35DViA7ZL3kkO9cFiyjKbKEkAZm4tUokiRNgEXeDGmODfarJMomMKEwLJ6GfBFrfi6vTlF0YoXRsNBPkKQJIaVTsjsWpeZXh+3P8B59ohifkHy0suSzeOG8SY0ajK/q4rMWolt4NLl45ssLcXP1u9SPCxNhFjP3uuZ+7VYfB24M+ZWhfbOtxjM5Im0h+9GnDgr+Z0vNJjreHa/a2kHvSuB7ZoR4hsUVK2PPy7P3pdIlAxMZpjZy83I5UaIgs0tk6u0lFZJu/3JhnrCD767y6Mv+5yYlyAiQKGRDISdyCt1xpYGsY65h5g8TeipVBOkexpYiSJTOSWLm1Kk+lub4ToTIWwDQyFRMkPC5MAsN0NQJo0hYs1uwDQYz+ukDEbY2ND3BLs2Sa7fr9l9RUKzmeA0/Aphtc50s8lY02Vi1O4klm29HcWCMLLt+1nAM3TtLiNFLtVR5tKbQFwKasvoxdbfhdbNxhSYdB5iGeS6ZBEOg/sS5s7ALRMcaaWJ50UEieY//3GTh5+r2t426VjtLWXatVPYkjnIsxtw/WddJ9PK56qM9UszmEWVYabFy1Zh2VHRRpdArkgSTSwdVOzwphtDfuwDbX7uP3sEcRqJaUksXPpClN6vyJn0NUGeCxby8lnb2mlBZVPn6XlImySkMHmAme9mI8pp9wIfusTmEqCUnCLHjSifMUw6ITeOrfcdZyMkpN3EQApFHDWYnq4jZRVnakxTd2IaImCkLpBSWwdFGOJE0u0r2j2rceJEINYB/NJgwVwC/FzurAf85YC+HkS5g1KWJhTgLkmTy4FbpZNRVaa3S5agkjGuF/PAMy6ffbhGELpQdaz2lipn72IbvWLu4DCLDzc5lAF9afawuF5lk86kVsYwuG0nzXAThEAlEi3TYNNkQaftwK/WYt73pj5febjP/c8oUJHVgVoSCeuPl23D4YaI4sqWR35YYJs8LDVkPnhqBYtSdjM/Fylbp+DWQ7GaGcIMKdgpY4Pi95SpwRg7qmQQarp9TW9gvxfCTg6eW05w1ID6REAiIpwnXg1otfrUky7vuztGygjPjREYBqHD/HKDflAl093D2bph9h0CdenfIU3+3w2zu1nnRBRNqyqNxrN0dVl3XypRsimoaRJHlqVJMuR/W81twe25EWtdwxcerXHkYsVKE2FLYkWe2KE0Qao8nmFdgMww2L+B8B7GuUWLXWovk8ouasbFcKVhqYxWCoVMNFI6RIHDvpmId9/V5alDHq1QkjY7YoQgRBX7XZYrCi8nV1I2s7s2kAeZuYsi09dKDK7LNeBYktKUSGCow344iLycGlgve7P5O3ECS23D7Bp0Izveu+rYRNw7b+ty1w0tpiZ9nFv2uQQ9HyeSuN4KvaCP8kOeP+7y6a/V2DDisndTDa1FMQRTrpMVQ8fl9zQv7lZTZPtE6Y4tATyTIDKtAS5LEikK3Z1v4S1LPnfG5OkuBBl7FyyeMrcTo0n43S9W+Y3PNDDCsb536pxY9rby5NKey0tXoGHmLtV4fAP2Lsc0w154WaaUg0zbBGDBnYI8UWipc7kSJS5SaX78vT2OX3D5jc86doCTa1lcIwiEJN/spLTiXqLB5TDoc+bG1m7n7zkFtkpJ0JSArI3Ir+0wDjLNbX/zsCFRaPShVT6tYXKVYEwJbrt2mYmpFT7xQJUXj3nIqku3X+HxV5ps2T7Blo1jOIOkx+qgy7nzXT7/nOLLT81gpAtG4WqINggarmasKfFdwEmTHKqoG8gBK8vsXZyYocDzsjLF5HbSsDwx64LNdaydj/QtOyemFFSmoB7KVsYoGeF6EcfnJJ99sE6360JVFexddk7KbWklaXJJWey6JbdwCb45g5v1WrwM9LTRwO6MbLOB5WKkxAiktt0uSaKR0s40bNQT3nt3j3sfqXL8Ypohw7J5rAUDRB50lomnHHiqdXJFlW9YkSaFMlaVVj6Ut1IpAzuTK2XyK88PX8/kUhQJoizBZ4x1aDxXMd4UbJ0eY/cWwdUfDoEAJTvc97TLobMOjUYL1/NwTsw2OTcb8LVHp2hWXHaMWrsk25NnvGk/Zmb1KJEmV7Jg73KMVl7lSpWIQ0vRJW5KMW88Z3JlKEaDpX+vBGQlNTJPuZtCd6eBpMo3UCpek9IWWAWR5itP1vna81XwVRpYOpewd7ZirXdRBJksEZfcwK9F3N/ssb42u9zxPhRo5kPj9XDiR0hkopBCEQWKt14f8tZb+5z7kkugJQgbcIIgFg59TQnUGUevY/L8QqZBXlaXIgp5YtJunhzsJZlihuIwM4SBofslK/VIgV/uy81q5V2RgdzGLPPLFeLEoV6NUdIWo9ywy3Dz7j4zWytU6zWcu67fuXZhKrl3g1v/m72+pt0zdHoJWhscR1CvOFQ8VTQYp6PPsuRK2Q9GXP7NZ+ngoQ9UBrkc1t+ilLksRvWulyVZYqf0dRnceZBpJUnG3o6KkF7MQ894/MrHRkiMA46bVgw6CCntPkBpUVUWXBbgLi2d6xJVZSbPP+83QPpQJrMUcZrypgHr0vdGps6KsCA3ZZALRaI1UjvEsd1f6Kf/dpsj5x0eelqivYLFjbZ6PA80DQhdBvY6kKduS+7+ZA3CIg2M01r+soNSds8Qw6W5l56XkjmRn0eRGw2OKYjQBpmG1Y6dJe67DokWtLrQ6hhi3eDOO7bce+X+PWtOM/69+bHN4he3jsZ/89jZhNMXaiytSOLE4CiB7yuqvt0U1U3naOf1HrLQ40N359DbLr96qT4vNi8qJU/KVmEJ4FIWuw1cAu60cCrrts6CSynLjG5Bfm5J8ut/1uD0rA+1grlz31sw3Pp12VijcEpyksuWYBj+nPmdf3lwFyBP66LTEr0sqNNGFMOB1hViJVoitbHPUqKNslsFakUcOezcFPLjf7PLyVMeZ1ZLd6WlFwKKrbmzoFNcDuTSZlUdTPp1CeA5mxfNC2bdeSok0OXwsR74mZTRee9BlmACnf9eYyRhLHCVIkpgeS3g1MU+C+06D77y7C8Knpl3zi228T3B7ELI/c9qgoFi05hPrZJtq5fu9OvZra/dtKkgL3oa8jfNJW++cAKGP916iSJK0mRouONQcKnz50vAnTG4LB/DCR2lYhIv4Xc+N8Kffb2OqWS62xlm7yHtfan+Llj70grLy17Fdfg2636YNZSUGwvKxVe2hJZ0KE9aiCULsA/LlkKqJMJB9hPe9+Y+r550+chvOYQiLgVDtt9zoMVQYCyG3mUJ5AJiBCqVJvmPJenIw9RREcP1Jpdn7OKzlv9cFqBm/02+o4fKmuCLtr4kMcRxujO1C9fuGbBv5xKPHzEsdbGjQL7wyBRKSnr9kOWlPlXf7lZbrUiqfgFuLxtWqYZdDHmZDzAcLA0X1a+/W4dHAKyTJaIEcPka4Fb6EqdEDmnwuFRzknD/Mz4f+1KdQZJOwZdFYseytymx9/CWgJckpb4Bq4tLLurltUqRyVwnAcpHKk1yLS6LBJCWpToVYZBJKlWERqRyxXc1f/tdXR5/0eP+52W61XZmH0KCw4AM5IbX1OQyfUnbUlrS5oZ0ApzFQmodCqx1KF4DH8WNXNzc2etleSdIB0ol9lrYZgdNHBviWBMnikSDqyRC1BivT/OWayoYYR0R57o9bXwXzs9DHLpMjXk0a5JGzVCrGCqe3U4vmydSTo0PaazS6Si0Y6ob0zLM9euRJZLywMaSRMkYtOSUDOnv0r6NUq5L6KTglipGygQpY5QT0QvgFz86wslZH5OBO5UnQoiUvVnH3sNNDfIbgjpP9Q0HG68B8qFWsPWgLrM4Bs3lGDvT42nFoTBFAkhmUsVBhppdmyL+6Q+3ePwnfTqD9I2nAad1VhQDSO3DAuS5b53p81R/W6vD7jFEDmwL9kKmFGn6MlVf4hhRlITk56UE8OFSaYhiQ5juOBemW4CD4vQFj6nRmIutAUvtyMaN7cEUQSJp9wdAj7GmYrRhaFQ1Vd9uoZdNgspcDZVuQjQ0W65kb+UnPy2G16UL980YXAgzJEsygEtlUKLUm7hOktjXkvxrpeIU6HbGSZzAf/h0g+cPV6znnfYwIsva26SJndQtkuuCyvXBZImph4/L9fGso6d1Lw/XpYh89bPp8OHhQMXuDMNgN9JqciEkQkukSFvchIPUmhv2R/y972rxb/94lDDJWFzkw01iI62zIgTClAJPkZkEFtTKkM7Tt99bVrNEkI/ZLxVYiSw7U/b9yx6/Lr4uburyuU1dtXxFT6erhRA4RVN8nMDEiGDv9gl2i7pdm979ru+lWq1x4tgrPP3EfUyPxzTrCTU/zsGdATsHtSh2si2zU2Zl2b3Q06E1QqSDJNPaBFNc4PUTiso2YbZr2JBzko/sMpfR27rwu2WcW4JKxjiVhK8+6fPbn27Q6rt2i2aROifCGWLvYuUoMTiXATqXpueHnYLhgHN4fR5O06//8fpOn7JMycBsK/hS5pYm31dHCI2R6eaqQtlzrA0yTmhWND/y/h7PvuLzlSccqMUpM2eq2yWSkoEuxRTSQFICclmuZCAXReCZOSnrByGVP6gh7Tk1xfYpSTZV1wzXO2VncqjUI+8RsGUUngvdQUJvoGm1Nd/1vju57tqr6HS6ONPj4PmSaFNMsKdNo+bRqAb4XoyUpjQqouSElCJju6TYnxXDIu0sORFDImRxMU0RUJUTPnJIppRYWw6zuSj738IMM3fqmMhsX/U0YyndmMOnHf7jJ5scX3Kt11lmcCFxRLnmhEvKYoW4XIBZvoDDSR2R/99lHhmTra9FMcOSJGN0nc4f0SZzVIrS2Vybp7ah/d4CXYrUVcla3ISDjAy7x2P+7nd3OD3ncGy2gnFKetwIjHEJdbECWUDZOm9MKjn0OpCL0vcUL8v1n5vyCgRJYsEdabupa6whzhJapQUvv0lEcfpsyYL976UwVBwYqYAwIXetavqRoh1InCjREBuMSRhttNECFjqh3V1Maa7YDEniEsWOTRWX9NEw69im2FjbXWpFVLCQFCL3S8udLrlFWGbudbXfZbBniZ2hraVLAeXwEeNVIuZagl/86AiffaBmdbcaDiylsEkdT1DyvLkke3nZrGVmRoghEr8kH7CexocIyqx7IWfvS+tSso52Y9L9NUXmqEjbA2kyiWJIhEQklsG1NpbNE40rNe97c5/WQPBT/1YxvybBj4tqJ6x+D7JhPBlLly1ECehUq2cozrI8+W8pfSzBpQyegjzWgiiGIBZ2G/hEEKUTvsprRvadRpAYQ5AYMBF7Ng/wHY2jJIOBR79tN+HyPbuTtRNGNbQYn8O4X55dG3v77967yrHzo2gBvhfwwbvX+OA9LSaaLkHk5vrIXnSdcToYkW9BHUgXjEAngljI/OSsp7Vy0VUBGj3ke+cWoVxnA+bA1pdhcjsKIkTz+cfqfPXpaqnWJCuoSm3BtFsn33tz3bGesWUJwGUbLPPB1zN3/vPLuEjrNelw6Wyhw4f/zWX88CyFL60nbp0VmUoXRSKsdNHCkMQG5WjedkvAe+7o8fv3KqvHhUhBbustNBbkUlrgSl0OPgtHRaRULVJZYxuVM288/TevsZqZlIGDWNCJBe1IMIghMobyTml53QrYRuc4Zmq0w4feusp3vymk4lipefC04KvPbMVz5JenRmtzcTBA/eq//Xe86e79a70gXnvqoPy+51+OGKs0iEKf2aUa9z9VYcvGFndc1UeKBN+LqFcDqn6A5w6oeAN8L8B3B/huRMWPEUIQxU6657hDnNgt4sozqXN5kmvd1Ocu2YJFvbdOf6aHfe9SfXeeqUzBnYiEP3+4ys//xginLvp2r+5MdytbDiul3VTVl4VEcbJnVd5ROUs8FbtNlL+W617PmrPLg49sVk4Oj8JIlcFlvxelRpC8z/G1g97MVr20y3/91C1r7403E668IuLcguLYGQdtSr8sdVZMuhtEMSh1/eZa4pKVrVyDM7TaMXyQsniYCDqRZKkvaPci4qiPifqYuI+JB5g4xIQRJooxRBgTIuM+P/yOBX7+h0M8Jml3J1lbm6Duulxz5U7qzcb/fvrsq0/ecstb7B49SVKl2/PYvdHjx94Tc2HF4eAJmKwLFgaKWlUgZUStHtOP4PyS5OnDLg8+XyWIrG+utfXM77kx4o4DbeoVh3a3QpwIYm0BnvGVHBJnxZ7nQzo8twhNuvFRCfi55z3M3Jk16Hox5xclv/2ZOkf+/+29d5ykV3Xn/b33Pqli55meHKWZ0SiiUUBCCZFswMaLMLA2eL2A14tfh/UaDMuLVw5gYL3G2LtgDDIYDLZJKyETJYEskDQoWVmjMHlGk3o6d4Un3Pv+cZ9U3T3SSCAE3vd+PjVV1VXTXfXUr87zu+f8zu/sCqBWRO2Mmlj3p7QkXzbxyf4uvdQkTxXOi9zzP+wFkbvnfpFFWXxzKfISYTnrpA05NbGUJLNvKG84rfBKmIKuWAWoRBtDolVKXewY9qir2bQu5j/8/Cx3Peixd6z0ZrONp7SfXVekOW2dTXDLeDnp30yzaWlE14jcCXaxMzakz1P2/kwXHDXDK88f58XnzBF4GqMtTrqx4JZ7fe7Z4XH0uEcrUuAkzLQVO3b3Mzk1wtEJhwd2aXYeqPKi8wK2blJ0uy6QDqG65IKNVCoV7n2gxfbt97P/uEGpKlvXOmzZ0OJV5wswksf2wye/XuOO+2rsORJwaNIn1jYagsBRhmtvj3jdpdP88os1ndBhtu3mH1QWlbJ+vSKSl/i4IM+DS5ECWPTmu7P7ShScW4o0Y6JiJmYEf/n5BrfcW4GsWpltLGWxsQzSlGBPYWcBJenVrC+IWD0fnMGO0S6dpp5iFflvSwNM+hvyTeYiPDzf72hhtddZdTMDdrrhFEKi0wxKkv5WLSRCZJTFIFqay87u8pu/NMOf/K1ksl3iZEakBR2HSMv0LJGC2IgUzBbYeTODKY7N/K1FvlHPXBmUrbOFMYz0tfjllx/nqks6jA5aixL79zRGxLzmkpA9Rww/uM/jk99o8PjBGv/ntlFEErB1dcBgM2b5kjmmujAwspTa4FacbqsA+ODQEpS/8sa7HviXDz6+f/j30RHrl3usWmLYsl7hyAoHJjr8wV/XuP7WQTqyAspDBYqKlPip3NhVQBhwy50BfgKnrqziuiK1S0szIHaLgVTzCtbl6Cl6syh5sUf1luHtc+IeitKVho9fV+ear9SZTdLZgaIMcokQ5IIqV/ZuntIdhwAAQyFJREFULvMK6mKn1kVO0/NPx09VsT8hyIvcUq8hENn+hgV5cENJn6JTn21hqZDWksKi2G46bRSX6dnL5Hy85oW87bWzHJ2Q/NXn+mgnpVefAt0YQaQF3bwIlKXr0uitbcQum3bOP0VZipdO5FCZK7BgqE9xytqAK84YQBFz9HjmNJYNJogZqIYsOTVi25Yua1YnvPMvqhxt13h4FxBFrFjiMNxf54JNDkOVyQ9uO+/UG3c+cagAuBOs4p+/9CetU5fJPav7FWG3i6NimrWIgUYHiLjpLpcb7x+g4zRxA5eKI6iq0tweZbUqVc/QrDpMTLkcqjgMNG1F1HO0bZhJPTOyEn4RuXsvRbm+MJ0sR/IsHWhpSoyUMTgJj+z0+Mcba8xETqlDxy3RE5lSk1JBZ170Xiw1uADQ8yhrT8hegOynhroFca81ddbpk3XZy3Lxp8dawloaa2N66YmxVRf7PrSN3qgU+MXGM44c6n7EG65sccP2gPseF2iRtqybYuOppSI0BVWRQqCMITGkacxUUp3ez926RCkwpJoS17GDeQNfMdBw6K95HBlz6HRCKn6E76VT7twYVyW0ux6eG1GvOlxxRpvLz5vhK9/vZ2LOZf/RmMnZBIBmM2BwYHLPDbe/v/WXH3pPAXCAcy98Ga5bZddj32bi8B00ak2atS79jUmuuzXh3dcsYSbqp1FzabiGqtL4DtZlVYHvpgD3Bc2a7XCOYuiGdl5lvgEr5XmLMn05J54pFIsSfZEpyahIQtGxY4VUjpfw4C6Xt3+gnwef8DGu6uHcWfRWwm4q3VLmRM3bwC2whciBPk+wXy7m9ER7cWKsL4jevdEuL/SUqArzaEqeLtQmtUtbLIoX1zo9awlMUfwRthAEBhEaTt8Q8dHfn+RtfzrAg08IbJ5XlDoPIDaKbmpMr1KQizRHbx1iTe5baUrvKwsC+UY99RX0XYHjSDpdyfi0izaCbqQIvATPjfFdx9ruuS6eGxNFLo2q4v1vm0HLo3z1tlEYl/S3DThdzj5/K6988WXMtdssAHgrHKXiVHho93ImDg1y+bYOA80JvnZHxHs+Ncxst5/BqkOfqwlcg59yKEfZ254Lvieo+oKKL3HT7lydToewpfvCA6Q4hacn4hxMpSKOMIj5mpO0iCNTYEsZ47gxcwb++roa9+0ISJTqBba0o5ilIDfQdOQieW+5SLRejKaUHuttNl2EmzylIPzEYO/1LiylEClXOEXPbRtBiygutEAKSWJMOghKIFK1IRm4gUQYnNhw9uaQX/+5Wd71EYfZWIAbZ4aD+cYzlpKuIZ+NmXXUy1KLnZz/ekvHLhtwkGWXMJlTrEQpZWfyxBLfU0RxOtYxcvDcmNB1iBKHvpriff9hAm3gn29biuc4XLDW4ZKtTTatHaab8u8egPc1XDw/2Hn2Zm/X8Ua8vlk7wj/fYfiDv1tKN2qwoiloeAmBm04uk4Vft+cIPAd8T1LxBL4rcRyZKw31PPFQBobiTdvr+YWdnoKOmC+DTXsr3Zi2hk99tc6XvlOjK8vZErfYXAo7pKncqbNYI0PerbNI36XItEnzMiiLp8Lm27edAOPzaEme/y5tNO2DYuGG0xR6cUlJVitE/vd1On4hESb3/xM6i+JWiWezKwYvjrjqihY79jl86roGc1HK5TKqImTOx5W0A6+sljylLNp+WVKh4cKNZva5p5es4BNF0AkFSipbP9GCONGEkcR1VMrHHTu7vuPR6Xj0Nzz++E3TSGP41p2DHJips/dYddf5ItjZjeKFAB8eWcY9d1x7g1LB56e6lf/3c9+J+PSNK1G6zsZBQ91L8N2yy6ttPM1B7kp8V+B5EteVqfk7efNCDupSY0Q5e6KyrElPqX5h1VKWNSZOzGxk+PTXa7z/mibHpjy7qcxUgrI3a1KO3o4sSWFlKXqzUDEoS6CWpQ9p0SXmXZ/EWtDRQ+/tws6YHPzaZLzc5KV6a4Jpo7RIbdSSNPJKIW02JZfKqrxCqIU1ZoswLB2MeM9/nAYj+PTX6jaS51TFfsO1VHSNHTUojQV0oq1kRaQV1kI/U7KfWOQ9J4khSgxhlEb0VNqRJJarO47skVA7ysN3fWbbPsP9Ab//i1MM1A9Sa76AkeHG52/43vdv+IVX/sxCgAP4Xp1KUP/GXFR79XW3rTrLjStsWKqp+tiorEoR2RQfvt00WHB7rr24jsh3y2U5bE/Ey36Wibhy3fc8rUmmL+kRU8UoP+H6b1X502uaHJl0C0cqWapYioKaZFpvpxy1JXnOu5z7XpgaLOwgigg9P4tyEsT7qYBeAsH8amZPlVMX0oeMmkgjUrFVib5oYQ16UlEWQtqJZoJcXivSSicojDCEXcNoX8x73jLN+Izk89+QUClHcfsitXYIBShtv2hKmFQXUlBR3XPGyV67yYdtJdqQaJ17DGYNyxiZirAMKi6687PX7iiD73lMzgQsG3b5xctmuPlheV+gat8g7j2mqnzno3/9GWbdpfv3HZbn0ZXnrBkULBlQDDQUfXWHetV2+WSgVdKac7opqG1nhcyjuZtizsumDTvFvMrMBVY5qRNs3pVj6B3rV6SMMvMeR8W4QczOQw4f+HSTex/NRvwVCsG8x1II/KxaKWy3Trli2WPHnG+CivsZP7dyzfmjxe0HIjNumf1MloZplThnMdCWXi/07HeWv1iL3M84rChVNhEspFIi+wKWCjPZ2bP8HezRGZS+oMbQ15dQCTTb73eZmJTFQcjE30KS/XaVB4fMO6dQ/5XPksWwYJHfLx+nXqmDTUhm7mrtjjWgmpqVzLQUc23F9JzL+HSAFDVWjsivJ90d//uVP/drPQB3mLcue8GpCCSt9Y/Rbs0x07Ig8Vz7Yuc6hsNjhjhJEFKkDrQC15UW7I7dYGZzcsommb157qLlrddIs6hOFhSlFLVTN6pdhxz+4GN93HxPBu6yzqQkg5XgC3rGbqt54O1NB/Z6dJTdq+bz7wwoPZJZyhF94aa1nGHo1Z/0ukn1tq5lnDsdwl1S5Imex8u83BQFmRKHXvD60g0+ujCJiAHRhsvPCfmj/zzFez8m2H0Ey8fzL4RAG9dSFZ3S1TSzkvFwlcphtezVfFt3WEtPEmmIE42MSwN/s9OEEZjUpqQTwuGxhFYnQUqB59ovxNSsob+vnxdu24jWej6cFwL8kksuwVEq/MwXDjF5fJKVIw6NqqZRjRlohOw9GvPIHpckFtSCdLORUhQLcIHjFCO+nbLF8YI2NFPi172ZkvmbSSmz8X4Re8ck//3jTb50U41QuLbVX5Rz3cp++cS8qC0Wk8Mu9Bgs387Q0KvnEDnI5ydQTrjKD5rFH86eUqYj9ukiv9OrFS/oS1HOT7MpWmCExKDtpjM97ZfBnX9DdPEakvTFxYnBdwxXXdkhMVO896P97BsTFjEi4+OSBIcuIqV9AqkzFzD7JUuMzZcXc4dAaZNqwO3fkUlKTWPSwpT9G1IaHAOVisZ1Q+56POHAYclgDeoVQa2iWD7SYds5/Zx/0aWh1vGC47oA4H61nyUjA+88Zf2pW/bGU5cNNlusGOkyOjTLkxNzfPm2KocPNVm/xJ6GlBJ55PbSBL7rUBq+WgL5vH7OwrynN+ddRO10U5m6wXpOxP4xybv+dx9f+U6dMBdOufO4d5Hv9ku8u+ztPT/PXUh2T1DYWeSSg7PngWdHwBcU/9Jm7fmNyOX8eFHRLEd0O5vSqFIU1yLFcJFdyZWDT7NcIl7/khaOhHf/rwH2Hc++1UVKKTJWeeikxzrWNprH6XFOdHZtVYlJOkgqN3qKdalyXIyXdJTAuHY0zcaVc9Qak/zZF/u4/0CNlf2aJX2aJcN9DA6f/i/DI2vfCWMLXv+Cd7h8ySDXfe3GGeXWHls6LJJ1y2cYHR7jwMQ4/+t6n3sfa9JXsVFaOQW4LRe3+XCvzLWd3ulnKms/m5cKLMw0S5puZV1gnbTt7PCk4D0fa/KVm2qEsqTtFk4vuHPObUvx2eiR+dMZejgwi1cty+Y+CyL5ggBdskZ4JjifR0cywGe/uVcqy1NetBa2f1OXLkb2dt2XzIJy+7eekeFO6j3uEMUuKla89soWf/z2SUb7QzteQcdgItAxRmu6Grpp80JibPNC1qWTdXRlE7OTdAOZJLafMk4MUWyIIkMUJ+m11alE6cDXmbmAc9a7/MbPH2fp0gn2TSXsPmqYaZmkWfcfe+T+r88IMfL0EZz0YDpi+u3LRzlv37Hps//hewn/fPsogQg4dQQGG1D1JYFnE/KZvYTnWlMg1zV4KbCzLvx86JPqlcDmG8jMrD5rPVMlCawTYjzNJ7/W4Es31AlVKXKL9LZwECVw+8LYnHcG7nl674VdO2Zh5BYLI3gPoEvS0B5UC/FM8d1b9JlX4Mke7qklLODo8zIVMqUlJmuPsZvTLC/e0yC9YC189Q7wupfO8dgexQc/1U+cHxC7+01MOvSq5GqlhCGRaQpRWvoSa5tKlAnEpeOO0PP+tlV8KimYbUuOT/kIMcRZa2b45H+Z4rofzHH7g33MJkseODw2+/blS+qLvpNFAX7Vq1/Kxz7/90kUnWI+8YVjHB9TrBlSDNWhWbVze2oVReArAl+mUTuN3G4RvTORleNkE9AyAJcmM5TBLgt7h8zPxHEipKv55vaAf7qhRvcpwO2UIncG7vljR3o4+GLd8vSCGuanB3t5dwbo0tUzWhmuxSI/L4M6oyzlxzhRFDdZCd1Slky3IrLfo1NgLrIZsB6EC9+IwArqXv+SFnftcPn29jomS+2kdCdG0RYiP8aREOn0YzsjSArSa0MsUvltIsh7e43uoVzGlOyhE5duJJlpOQw0q7zu4ilefNYskb/MIFrJljPfcPIABzhz65XMtdr/tGZ4/6mbBo7V+uqCwCty3LYlSKRmQORgnn+d2xiXpg0vNlLEKWm6VT43J8TxYr52e8A7/2qAR/ZUbOOCdEF4KbhVbtiTNS64YiG4VRnocj6452tOWEBJ8gBdBrOY/2XoBfnTbTzNvNvl8rb9YWlzSSmil+zcykAuZ1W0Mbk2u9QhjHWpzzomSyrG7AuTvfIeqmTfiYlg69qIP/+tad4hBV+/LX1Rbvq48Am1ooPI9zjZGEMLbpu6zECem/CXxGZ2M6rRGXVJDFEk6YSC6ZbD2KSiMuZz8FiVradW5s694EX/pNzghMdYneiBv/3r/8nrf+Fl95y5se8tdXWwb8MKRV9D4bmKqi+pBiL1TSE1BjK4Lr3gTjeabs7JixHaTjZK201wVZzeT3PcToTrhnh+zPW3Brz7fw/w8N4K+C5IrwB35gQrSTtzbOR2U3D3gFzOi9zlJocSHy/nn7N5M2Le/XLqMMuBF/dF8X9K+d0sD57/n9SJd/5ZJC88lV9T6bHeIlmpe0b2Zn8WpC7T5xpK+e4SmHv2FbljZgHu7GxmNCwdSjj71C77j0ge2+OUIoDECEkirP94Xjcova6e11x6HWVZcJ5G1NpWOmNNGBnm2prDxw17DhkOj8Hy1ecdPnp07k1r1p4fnQjHJ4zgABedv4WZmSn27ruNgzNTOKLKYD1AisKfsLdAUUoD5tE7nTpcMqXPJp9lJj3FrMrIDoRKI/f1twb8t4/289DuErilk14rpBA5uK22u3ClylOT8zl3yTAz92GhN1KXiyULyvLzIjfzHirfMJz8yvGYKZPmRdCiVC9sv2JpeGwW6G3VshzB7XhtyCiuREpNoklTiIZs1g4UuXQldZ6bVyYpQJhF+K6N5O9/+xQGwdduS9+wYw9KIjzaSBxdaiBJMs1K6fgm2Zu1wNbSUphylVuqrDAnEFIw0Jylv9nB9Rr0Da2nXu9/yuP6lAAfGFnWPXB48td3HVv+xXsffLx26ioY2WRo1qwhkJLFp6BLpzWRWixns+IzSuJmAM9GaDvZJnIeuN2Yb2z3edf8yJ0D3E4pyKK2W5K/OtkXTJQi9DxwF5U3s5B7Lwr0hRvOHkQvAvan3WWahc8p6EJJKlv+eSkvno//JuPZUB4Jnpl3ZrRDG3KuLIW2wM9cqbJ5D6YMbFF0EGXgVqU8UQe2ron44G9MojV8Y3u9J18a4zGXlL1h0jx5kg2oKjxxMqKSw6kkTSD9UviuoF6VrF3usGGlZHT5irlKv/51VVnefdYAP3jwuF65ct2db3vjS6c/97kna0o49Ddilg628dyEOLFTvjKJY5zYVBQZyNI0oAV1upF00ulnjhWzO042ZTjCc0OkG/HNO3ze8ZcDPLK3An4K7HRjKaSd3puDW5TK7pn8Na8sz2timN9XSXG7Z7NZAmgvBhcmBns3lr2Pn+yec/H0YA/i7eNS5GE09zQ1Ip+XYz3cRZ6F0aS6cYo8uTFgpLTqQ5FesF3sRtryu0m9tvO0pMohmqtBs5z8ltUhf/abkxjghh9A1hBkEIS4tBG5clMlprTRtCBP0s/JpLl6bUzqP5gWgrSdDeU5hiXacGS8xnSryWvP/LnplStX3dlqHddPdWyfMtO/YsUSBgb6x1wVXXXhtjOjNaNtlo9MEJpxEqbpq7cZbLYZbHaoVWLbTCxM+m0tT2RIsydOr8Yk49uOE+E5IdKJ+O49Hr/7kQEe2VeFwAeVXqSHkApPQlVBRRq7qVTGetClkbyoWPby77K2pNzYPD9qZzjtcVstPVbmtqUAviAan3RCxZz4xz1y2Qzovbif90VYTFJL0cNZHmaVFHnyzIUsSWQatBRxrHpuR7Gy48MThzh2iROXKPbodjxOXQUf/q1JLj93DpV0IQlBdzE6pqMNrUTQSSDUVmob525WxZcuew9aQ6sLx2cFY7OSiZYkdBNiv8uByYgn9ndZsfr0aHJGX1Wp9o8ZZ/QpD+9TRnAhPA49uZ8lS0896Mho1x2zd2z63E1t7tk5wAu3CN7yilkqlVmmWoLE9BNFPrG2zccOBcCzCO6oImq72WZSRXhuF+WG3HiXx+/8xSCP7a8WkVt6oByUkKloyuQ9oE46WrDozOmlHT3KQEoZExYWdTgh0BeC9oTZkflU5WT04Au+FuZpnmOfZzKthkmnLJQiuUl3kxk1yTLewpD7B4rM1FMY26wgTNqtb3m5HRybcnKy/k+NUYUfCzmNEWxcGfK/fneC3/4Lw0132mIPwhad2jgoJErolDbaSqdKK54m2/CnnV+JNHRVzHRX0XAlr7844oLTO9zzeMiOA8tYsXrjrs0bVx/ct28fa9asefYAB5BS8eVvf3PvyFDf2x4+csYtDz/+ABefWuPiLSGxCfmbb2i2P9zknLVVTl/tUq0Yqn4CTuHpbUFeoiZOhOvayO0HXZQTctNdvgX3gSrGzzIlPkIqlBRUJASyqEz2zq7spSeLaUpEGdilny/WXMw84Peg+8ThYJFbJ/t/F0G0eYofZYWgbNvTA+4i6mtEymvTPLgw1pEqe38lsx4tDMKkn5kxqY5bpCNEBKoEbKOKhud8tKARbFjR5S9+Z4rf+rDgO3fZqiq+IEHQQqGE5f9ZUHJKc1elhMATVAPFxeeEnLnlGNt3GL5wwxK2P9BAmn62rpvk4nMrD7r1+974wEPf3rt69Vue9lA+LcCXji5nfLJFf1/l0LLm9u+tqR68ZM3S4wwOTvHZmwz/+J0ljNZ8piYVx/slytEEnv1Q82xLuql0M3A7Ma4KqVU6HJyMuf3BgKs/McBj+2sW3NK3fFs5eBIqpRSgU0oBynm8e/EmYdMbpSlH89LPSqm1E+JRnOB2+UcnCWZzoh9m/Hqxn5OCN/9DGR8vLJVy/8f0fWS9mraYYnPlxRc4ldSaLI1o0mnF2ioDZdb7aamNkiWfclPcziM6sHFFyEd+e5Krr0n4wf2afRNAIIiEz1xig5WjQSUprUx9DqWwnWEDTYehhsNwMMSbrziGK47xhRuHGL/d59j0MlYdbf5hFE09+HvvuBq4+ocHOMBgf5Uj+7c/ccra2l8OBqsuueOeR7j2Dp/v3TvIugGXNcMw2FQ9VCCfdiYTXJV2SacA95wutWqHXUcSPvjpBtff3uDYTAXj+6A8kC5SKnwJVZVRklJue56Ge77VWq6VhoX8GRYAfjFQPy0dyR9/puH5maUPF3tN+e/IU4q91CbPrFAa5UeG8dRIMwN3+oHZs11KWbTCSIM02vZ3CptV0VKiVVKYf2aRnHKDhuSUFV3+6nenuX57yIc+rXn8SaBiCEXAXCxxsJ+bKyFWloune1a0Nhyfctixr8maUPGz26YIvCluvFPh9Z/DOeefx8xc+6SP2UkBHGDJ6Apw+u48OnX82jt2HXvNnfc9yfpBl4GGoL/h0FdXVLxUi+JoW8xx00KOa2WunhviuyG1WofdRxL+8BMNvnxTHx18u6GUPkK5ONI2KVSktaPI+LbdQBaa7qJ1bpHJCyxOgeeX2ec/R2T/zovWJ+Lci4FvYSPiM0Rv+VedIJ0oFnleEdwt4E0P8EUJ+OQngCzXb01iTR4chLEcORPEaSNQRqcUJZnnjWiBXVwEw80uv/zyFr5r+MOPC3YeBlMRdAhQQqKkwZUaJzFECbngqtNNmJxVSOkQRg0G+3zOWz/DOZtXoPo2XDu64tQ7BzoTJwvbkwe4cFfxzdsP720OXv7bG5fvVfXz2q8Owy6uY63dGhWoV61pfuAl+G6M70b4rp0o7LkhntulWmmz50jC1Z9o8uXv9tFRAXg2SyKlg6cEFWkIVFp2z8FdznOXh8XOi97Z57sIKE+Eu2eLQfG0DzyDtRg1yX/Zycb8Mm1J7xlhQ3cutU1v5q6xFtj2OnOMtbJWLQ1Sm7QDPjX1zMAuNcYkaC1wlEzb4rJhtYI5LfF9yVWXd8Ec5+q/0ew6avcFLQK7ic0030rghrbqPac0UkYk2mGuIzk05hL4S9myZc31r7xo22/DgX1CbDjpw3rSAAd4xQtH2fHwXft+5spzHnzikeOv3vHofhLjUg10fqlVYipBTODHBF5M4IX4XkjF61Krtdl3POG/f6KPL32nj66sgBeA9FBSUlG9UbvcXpa5+udTj0URwU8YuUvY6FHlzcPL/FO/yBAii/+bbehOCrvPAuALUn9P8+vnp99FzkHK7yO7U6YRxf3svZVnVIq8+77kKpaa7Csp0KnOXGf8WyU5J8+LQ7lEVxL4kquu6ALjvPdjsPcYJBWYFQEi7ZdVQpdGpWu0MYSRodOVzLVjRkZHWbryBQ/edvtD+y6+6PxndFyfEcABRkaWMDi86oMPPfLIepzp1y+tT1Or2iMa+DH1SkQtCKkG1oHW90MqfhtHtfnBw/Cx6wb44nf7CZ0KuD5CunhKUJ0Xtd0c1BbkstwJv4iOJNOCZCAvf4BFKq30yZteUC0W7UUpEj5/yyxyK72Xn6kKSdRiBaqykKqcGy83Nmf/p2fqRqnzSmvbXqa0QCtdmr6c3tc6NeWXaB2nKkAL9MBTXHVZB5JxPnptzL8+YehGMIOfftmysqpViyUaplsxFU9wxqYBztu28p82bjzjg8ePH3jGR0890//wof/xYbaccV53bG711y87/e7LRof2r77rcZdmxWWgETLQ6NBXb1OtWFvlaqWNUW3+/lsu/+l/DHH3Y31ETg3hVnCUQ80R1B1jN5Mqdcpy0h22si4QjrPQi8XJPe5sX6hSogB/+ZIXbZ4GpvNy4FkPZu/ZoTRKI9V8Z03AhbCK1GCyuN8rwip+x4J8fel6gZ1FlgLNv9BlD0XR8zrzwbzzQJ57iZvSiJlyASgvCGUzgGQK2pTqUEoPmt5UoTEyBWuWZbH2y6RyV4Fk67qI114+x/iMZsdjkm5ih9F2tSSO7XAFV0I9gFXLWtz5RETLNL//3t85/3V7nnhgdtOWZxa94VlEcIA3XPUq4rnvt4x+TfjZf/oij+4SrB8xDA/MUQlmcJ0OjVpIEER0kojPfD3gvZ8cZLJVB6+CUh6+klSUIZC6UABmpowloZRSpe730oeu0gZVVQJAT+46Fx3Zn2sNRhd0tKypLoMgF0plCruT5iU/nrVoKtIKvXubpsvzk3rK9UX1MgNzFtHLXDyv+KrUc0VqtLZW1lraPHmWKtTG8nWjBUmiSZTASScwJ0rZ7iCj8BxFX6XN+946hSM0f/c1zdxsTOi7hDXBROgQa8VgU7BxRUC9z+PcC18dfvlG0brqFa98VsfrWQEcQFU3YbS+Y926i1+YdO+srBo9yqGpGb57s+HYhMNLL2izalnM9++t8Kd/N8Rkq4HwK7iOQ1VhvQ1VmWcX4/uyBuXCgL5Ubs8sB0Q5Sovcc7xMUbIJAkliPzhdnn9j5p3yTTFXRmSgMaJnUsHzCnRRptjzwVy873J3UvnNiZKGJElL9XE6LKzYk2QUz44mUWkTcSJBSUkiwTHGbjSlLQhpKXLakkiBkhKlJUmiiZXGUSqVACgS17bE1YM2V//HWTxHc/u9VZaPJlx5QcyTxwO+c3c/u8aqjO6t8bMve2H7nDPX3SHyOSnPfD1rgAsxwvRM9z2nnfly88S+Xf/lq9v3BdsfHmbXgYCDkxH7xg7hiQ7fvbfJTNhABlUCx6HhGGqOwVPFBjL3z8i4dTmCp7Skd4JC4bFRcPBeI56sTK0SQ5SWtrOuqLLwqHg/pbYAkeO7aB8rc/gf95pXVS1nb8oV2sK0tBfgWYubptClRLEkSmzPZDaWG3opTyLLGZSUixtQUqXZlHTCm0qHZYmUp8t0mkVi0ikcCieJrZZFK4wR1CuC//6WWW6+r4s0iktPr3ForMaFp8R89/5xNq1f0bny8iv+Ighq/6/r+c/60D1rgAM0G77+9T/50tVhe2U0N6bftX5wzFvdL5mKBG/6GcH0TMRdjzjMJBVqnqLf0dRckwukskhtR2SYHjOcvASf8eycV4tSVBcLGhNySwesMi2R9tSrtSGi8OVIdG/uWArb7KIoZU3K5fAMLOUbIuuJ+TGF9nK1tacqW4x4zAb0ZpE8494YgUyF34m2ZjphbKO4Lg+PEoXSz5oUZaO0U6Brg1Z24KwxBqNSS4jM70YYYinTfUDhnuA6ithJSLQdceg4hrluzBdubDIx1cfkRI1Wu0EYJ7z+inp41hmNDwXqC+8T3q/rZ3OofiQAB3jxJieMzLoPNJ1WqLsH/uj2h4Rc51c5Y1WdidYMfQ2PychhyDM0PENQspMoctfFNr53gyWK9KDqdUTKI7hKT6UlV6ksemXed0JqokRgQjssNIxt5CIHCLZyp+0mTqR9ukJlgqas4JImEU+Ys37OcD3vupealCN3filNzMBALLOct5U1d0JBN7Qd60U+vKS2zAKJAi2tzZqT3tZGo1VxJlRSlgBO6Uxj8tfnKNvNZUdvCzxXMz4dcf/uOpMTw5y5SuD4s+x4sq69/g1/tGzVhj/f/fBk+MMeux8a4L/4utdw6/e/0m7U1lz70GPiD3cduJOLt1pg3XRfg8lujZGqYSDQVDxjPcUdUqNFSpvBNBaKIoo4GYAlqZmnKKKJKmzAsmFPtgOkaBkDgdYaRwm6oR0B3Q6tHUE5ckuZNtrKNAcsKRyjShH8+WAn2eqpSQqBQOeVx/x9lCXKmS1H+hwXgaM0UaKIY9up3gnt5pvsuOeyYlHsg3QBdJNtJo0slIVpV5A0BcAN2Qj3YrOulMZzrCVyktjPKnBiLj0r4vrvJ8y0Pbat6/LCC7cZv7bm2ocPTLd/5iU//0Mftx8a4AAtvQlHLn280hx4+2teHnxsUN0qr70t5m+/NUJNOgxVNIFnqLjgeSIHuPXxyEq1Ij8YWdeNKoHbURbEjspOlxbkjhTI0v0C8GmGRdqycELMvfs00x2FK0RR+k83TlnZOhuuJIztzTXZZvN5gXXvyufG2zslkVjvjFElswnVC6fSVYI2j+4d4OBR39KZtFe0J2Bk9FGlwihlrBbFGBxpMy+uSbvy004fZSzFy2Z3xokgTimQIbPZ1vhRQhRLwljRrDm89RXTwDiPPLGEl734Cn3xuRvfPjC65vFweuxZH6fy+pEA/KWXbuXhHTvD7jkXXHPhzN3V6292Pvz336ww4FbpX2K/4Y4SBB5pZ77IAd6NNKajeyiDjcTktnBOBmZViuRZFFcSR8r0tu3wV7Lo9Pc9aNYStq6f4+D0DDfc0wdOlYYrbJrSKVh0fsovpxJNkUVZkHn5Ma8yncs2ndkoxjLfzYBdjAGJqfghvt/irl0+37yrRtOFRlWkLgkSx7HH1XEkStseSCedhOZkNE1nbWu9CMozOiU3riiWzLUV3dB+IawjrKQS2+6vdtfh+FSFvlqFN15+lBuHDLc9Kv7ra37h4msOHtidrFx1zo/kmP1IAA5w2uYNjI3tS/pW/+LO+si9M9s2fbexYekMB8dgz5MW3PWKohZIgsCaBQkM49MJc+0IrW0/YEYvbAS34HaUsEBXGdCz6C1R6Rcg80PMgO05EPhWPtBXD1m1NOaDb5tBXNPhn3+wlAmqhcqOtDiiswxCMVBpwXpahC9SSnyadbLZmYKiZJ2RxXURvQu+6zqpHsjrUqvM8c27DO/8xAp87bFhKEFrSSUw+K7GS0FuubZAK9uK6JjCU9DJKUmJt+VnkJTipbULKQyzbRifsk/zXEk1sI5VGEFFGHY9CXufrHDxORt561WXzfgDF+w8fHR/snLV+h8VLE/CnO6ZLFVnbJzrX3rJC3/j999+2fjLXtTB8ccJY6h4inpV0Wy4DPc7LB8WbFpjGBzoMj6XMNOxfXgZDxeydJp0CpDbaCML22bHOt/aESrWwiLwTK6NqVdiapUIITTLhgRvf/U0o/UZoihmLhF0tB0dHaeWY72TzFg8Z15aogfQpvTz4vETYf2HOhuIhYWdYkhX6j2TgjzwQiZaXf76q3WOjVUwBua6MNfVtDuaTtfQiTTd0BCGmjCylyjWRJFJLdTsJYwEUQJRlkdPW9/s52ZwlaZeiRjom2V8ZprH9nU5NNZlbDJmYgZm5iStrsRzEtrRUe49INDNV4yPrrjsNwjF9QPN6o8Ukj+yCA4wPDBoPzg98dmhwYudbzwZf3D/sZtHlg11aVQl9arDYFMw3JcwMhCyceUUeJNcd8dSnNhLuaNNG6rUtivj365rVWuOkgXgJYtEboPnGgJfU/EL0ZejEjqR5PzTYy48c5b/870GXcehk4AnBY62tgWZxa85UQRfDGsLbjxHqxQ18z9Z5uCZe5fMXMJs32vgh3z7Lsn2B6skjv1CdyKr4JPCkLYnYxwrh9UUehWtpaUqpapntuUVqYuVTrt9hLBS6UYtRDPFjicldz22lFOWGYb7NEniIlMXsiRxueisEa58yRXHVqx50e8fngw/u3rZ0I/8kP1IAZ4fdDnA7oMznzpt6+Xyja+a/NPv3nL7CMahGggGm5pVS9uMDE6yZ2yKz99c49CEy/JauqM32Y6+oCO5NXMK7oKPZ+A2BcBde8r1XY3vaXzXNlsoZUm+cgy+E0MSo7UmMso2waZOUYVjq0VTrkI8CbD3KBl55nifn2/vOXP0SAhLPBwWpAxlDx+3TmFRLCCWGNcaZIaJIIyssK3o+ClLGHRuxayNSHm4LH3xRZp3t61nmSox+7sjfZrXXdHi8KTP7qMNOpFEiojAl9QrgrlOh4nwomOXnXfpu2HuU0IMPBdQ/BFTlNJat6KBnvrmNWec4r0zkoPj4zNdqj6MDnVZtew4/7prlnd8fIAfPDREw7VzWPKxKKmQys3N9a2OwY5HsXZxmR+i66SirBTcnqPxXI3nJnhOgusmOE6ST23DgNEaSDBGExlIDPkHWa5w9ujHRem6BKhFW9cWi7QnOE753yqlTHs4eZbBKf0sK7vnhR+KZoV8FIwoxr8gtR2qlhavIg1hSjMs/bDNBmF6HafX9qKJo4K2hJEhjCCMUufXrFikiyyY0dDpBlyw2eMDvzbOGZsm2HU84fCEodPVDDTabDtrYPzoVPWdH/v0d695rsANz1EEz9b6La/l/R/+u8+sXrk27A5U/3qwebixaukEdz7e4eNfHYSwxqYRwbFZk851zAoMIufebnkkSjq42GZYTJ7OclMXW1el4E47itw0erupi5YUuhAhGZ1GKevlMZ+SLLbxE4vsH/NsRvmRZ0NVFhRES5nv+fuBeSKaQiSVzj+eN1S3nMk3RhNqx0bwOLXcSEDGvROei+Ng9SbW19tYkZZjlYK2NdEGocwu2RgQ0kpe9z45TOBp/vOrponjSXbs7GegHjE4vHxmaHjJb75k2ew/bjjjV55LCD63AAdYNhToqVb1n05f78Srh9t/d/fju4O/+eoInq7y4jNd1q5o8Ylvh3Tblbxq6abTcC2wJYEnrD2zY0FdNBinp0hVcrFVmQdieimZekqZ2ChW+gTLajowT7vxy/6rLEXwkx38erJrPpjLlsnFMzJxzLyvWyaWKleIS6cGYzSRNoQ6jeAJOIlhfpeUEECSKjBl6kYVQ6wkSZIafyLTlKzVtiSJtlVKJ6ETzvIPN/SzdmmVszcF/NZrjvOXXxmj0ji7G8kVb61Uml8+eKTzQ5XhT2Y95wD/1Te/nqM7r0lG1vd/+YYbR5I7nzjn76PWseC80xzOO02zZGQG/2YHwpRyuNh5P1nk9iQVHyq+pSBSZtzYfrAyq3ZmHoipRZzrJKViRzbyW2OURspebpHNdJy/epR6JQ14oXcpW5OVKcszg3m5Uloe690j66UE+uw5lDd96WtO/+mRy2J14FYznBAbCBNBpKyLVBRbcMepUCqR1gE2wRZv0DaS2+Nt8FyZcm6DUsoGI0cQxpIwVESJpB3BfXtDjk14CFHhvNPq/M4bh7tDa147U2usvi2K55KLLx9+ruH33HHw8lqy4S285392kn/cec5XRgbWvflVl65rnXVKwpLhcT5zg6Y1W2Fp085dCVJ7Zs9JwR1ArWJo1BKatYRmNaEaaFynGEuYRXKbA85cbVOQO9bgU0mbMjt0SLL7SRcjC1DI+QBh4WaxbOnWYzExn5PP+78nu0wJzfOjd3lvUOi6i1dreiJ7cSu/pwXrlseMLgshTki0pqMF3XSzGWlh7dJ0MSCqvLmOE0Ona5hta2ZbCbOthLl2Qqer6YS2OyeMBZ2u9e8+NlGjEdT45Z+Z4OBUi7sfjTg6t6m1bOmpbzp905oz1i0PDm1Y/aPPmCy2fiwAB3j/7/0S29Q+c/U7Hvviq1689K2bNtenvvi9hHt3NNk44rJqiaK/7uA6aUneEQSeoBYYmrWY/nrMUH+X0eEOfbXIbpaSwjhGCJOORrEmQ9aPPEmdtNLBsV7M/Y8rHt7hodOxeDI/pS+Sw15Ea1103RRjBMv8u6wZeaarB9iU28uKho1c44Ho4eP5/J78i5KWgIytHJ62OeasjSEiijE6oaOhm4hUJlF4ASYlcEths1hCCKZahsMTguMzMD2nmWsntDsJ3VATxXZwazcSjE+77DtUZfeBYc5dF/DaK6YIBoan9o2veOumsw9+8e7brzsshEjks4kCz2I95xSlvN7+tjdy+Qs+xQeub/7DaSvPcUeWbfnzn/UfHao4U0jl47kRO/cnxLE9sIEPjWpCfz1msK/DUN8cU60uD+5tcvhoQH/NVuI8R/R4sRSVvJK5p0owJEy2PGLrLUuZpfawi3nALkfusj/4AqOhxTyVS+B92lWi1hmoM3G6MLYQlc2ELzTtohfckLtNZUA32DTfQC1CiohER8SJQ0tKfCVwkzRrlVgprM1p2xpD4DuM1jVeMMcdOyUzxwOW1o0dKCVstiqpSFzXYEh4fD+4jmTHPofN69fzmpesOv7Gmvzd0bUz/zDXWcu2i17/44TcjxfgAKed+6sATExMfUZKxzm45/sfuPvOG0farYhafYK7H3OoOg1cR1ALNM16zGBfmxUjU+w+OsdffKXB8XGXjSMxznIXx8kUa2n0dnS6yYzzi+NEuE5IHGq+8J0qrUTZqQRZ9M1DdjFEKrN9y7qF5mvPbX9kbw9mtsoYtx1EvagXJ7iGIhJrO6vb1gXSKWU6HZOdaDsaJHeYKjcQl35bxumNkVQkvO7FbT53U0SSdDHSoZN4tGI7S9RNTB7FdVpOdpQdVbN6VHLZtoQXX3iMD39lgN0HmxisQjDwNVFsC2z12iT7jxtc6jQHm/Qvv+TY8g0XvyuK4s8I0fxxQw34MVKU+WtgoA/H0X+75pSL371yw8uPrVnpsufoHI8dcKkEgmoAzXrCYLPLqqVT7D46zdWfaXDb/cM4iYuStoxsrJNknk1xnQTPjdOLBXbghvi1LruOSh7d66HTSb0WSkWbWlmdt3DSA/mU4vKk46LBuACqKUXZHGnz1mJ59d7sSdognNKSJGFBL2XGlS1tEXmyhDwrlHF0gUCyZXXExqUdaIcQd4iSmNlY0IoF3XSaWcbBwb5P100tIahzyWkBf/IrR1i7coLdxwXjszDTSmh1E9qhYMPymMHBOUKqvOm1lx971SsufjfS/G2j+fyAG55HgAPUag18V11z8UUXvGPDaVdOTHZWs3LIo78uGWwYhvu6rFwyzWMHZ/nDz/Tx0BNDrB00DNRNztWz9JaT5r09NzUd8kJ8r0O91kK6be7fqXjfp5ocHndBnjiilrl2MYqkMBvqkeWq0mjuUmLGgtTkQIfeqmQZ3AvzzgX9yHonkwTbQ1kazadL9se6VHHM/z69vzPRkqWDmvf86hRnnjKHF7eh1aYbR0xH5CAPE4i1pSCW9xvClFsfONrPGWtq/NGbj7FxzQS7j0uOzximZhLGpwwHj/Vx0dnLeONVL57YtPm8d3Q65prArz2fEPvxU5QFL8CtMNsOP1sZPH/cqx3e8LpXqQ+NHbzHXTbcZs3oNI8/OcP7P9/koV2DrBoQDNcN9UCm2ZasgmlL8r4XE/gRgd+hXmlTq8zx6MGEf7ipxk3bK9z/uE/XKGuPlYY7q8Q48YZyflOFKmnTVdY9ZEqgprzxK8aO2B8UX6Zemwfyxw0pt06jqBbkkxZIQGKLYfn8yTzDUtCUTAKW+VjJ1HnWcwS/cHmH9SuPc+P2OT5/Y5NH9vfR0nUc4eBK+xzfLaqYmQHPTMthfDrAVQOcuVZz9a8c44//XrBzfz9SRPiu4bxtF0aXb5h556pNL9gppPc1ISrPN7yef4AD1Cue3rnziet/482v8caPPt4KT9Efbap/EfuPTss/+0KNR3YPsHpQsqRpaNYElUDh+xLfE/ieJvA0gR9T9UOqQYe+eouZ9hwf/rLH126t88jeCq2uAJX5RiTpRadTBYrX0jMkNlc0lvxYcrmuzLMohtQYJ7ERL+8E0mlmRViXVnunrBspN03bzV0xgKlQViYanFz/ASJJpbFlyqJFacNZlO6z8ehSaLQGVyjOP8Vw+uoOL7sw4mu3zvE3149wZK4fJVw8KfAd6LqkZXlNJ5TMtSWTMy6CKgbYunKCd75+nD/4O5fdU4P6ZS85ywwtOfX/GV23+dO79xwJN2x47nPcJ7N+IgAOsGHDRsaPPhyuWDby2bBv5c0NccrrHthf/ZO5uVnWDSmWNA0DDUUlEHiuFV8FnqHia6pBTC0IqVc7NOuzzERzfOgfa1xz/TAtU7MorcSIuIVv2ggBnVhghIsxbmonUVLm9TQ3l1WNMpXtWlWjUiJtboY41iRJkp/aoTDetx7bRdUx71qS2Zhz+3xtTE5BwjitIoqsXcw+Jzu7JFLYIasJqZ2aNejJmkUzcCsV4zohEXaOu9Iuc+0Kxii2rkzY/IYuA40jfOizmrH2AI708JwE3zEEvsnTgGEkmJh2CCPb0xlFDj7jXHrmAAcmNv7BqlVrvtjfP7T/vof3h+efu+X5hlO+fmIADjC45DSA9tSBTz1WWbH2AzPfG/Z+7tLp9zy+66CamOyydrlDtRKy+4BVE1YDQ6Ma06h26au36atP880fRHzk2iHu3zuM8SqM+DZLMNlRrByd4Y/efBzP1bz3k308vF9hlEfiuGCKKWC99CTVpKdKxmxsueNK2z4nLMA7CDpd6EYW4FLaqCsESK0xUvV0DhUSA/JpdTqdRxNGhk6o099jv1zayYCbOmllLl+65EiVpgqzvL5SCYEXsuOA4L3XjOA68N43tRlp1plrBTgqoVLp8ktXtti26TAf/kqXb/1glGPCxVVWkVkL7Cg/3zPsOhRR9RSBp5mcDegbvCj5+csa77vyP278wNZ1B5I3/PwlzzeEFqxnbN3241gf+PPrWHfq68yv/NKbb/7a9X/vd2N9fntu1tm2eZp9xyc4MlZhxYhi2XDMspEWSwZn6WtM8u27In7340PsPDRC1QsYrcHSqma0YfCU5E2vaHPVpZrT1sAZ69v86xOKI1MVHMeh5kDg2k4g20CRnilcW1W1wBZ4rsLz7OjywLNfslrFVvsOj8fMtjRxkiojycBc9IoqRxR2dC74rsHP9OuBRoiEoxMJE9OaOLbeI1kuu7COS7M5wpRoVFq9da2CMvAi6kGbHQdifuuvRvju3Us5cKQP8NkwWuPYRIMocYgTBykVa0c1l545w67DMQ/tqRAmLhKoeIZmTbFmWcJke4yH93icurreXrV+y+5NZ73+k+e+4OL33nvjz5p//7o3/JCf+nOzfiIBDnDtV76EMVM89Kj8ztYt62tbT12aDFbv3//tO5orRBLL09ZJ1q+YoV6dpFad5IZ7Et71t0sYmxlmoO6ypKIZqhqG6rCkX7JljcumFQEV3wMjOWVVyNKhDl/d3kAIn7oHVdcQOHaYsu9ZgHuOzPsWPVfieQrftXbm1UDTqBqWDsb4/iR37+xwaMzFKc/izD1FZN5ql/eLOialWQn1asLSwQ6a4/zgYc3xCYVInYoEWc5d5BFc9GR2srNBJhWOqQYhUrb4vY/VueGeJTQbNVb2K5pehW5UJ0k8tLHegRhJFDs0q4KLts5y6HjI7sMuWgniCCquYKRfc9rGWnzfnvrtr3rFq28QZvaVw6Nnfud3fvddZtPmFzzfcDnh+omiKPOXEH3ZzXd/6rPXodTLGi88p/U3nbkDvzg4sFs+uGeCe3bBxJzHLQ82mG4Nsqop8aWm7hv6KobBpmK432V02MGRgvGpKo7UVCtdButzOCICU1gv9FhUZO1yPa1yNsIHnrGFqFrCUF+bczYf5979HvfurOMpXfwuJyuelJqbyf6OBXrF1zSqEcuGZvjugx1uuL/O+iG7kbSvTefd7/neQAgiBU5sX5/NYct8symEQZMwNltBuhWWVjVL6pokVuw/LIhjRaL99LUYQNEJfQabLu97yzi3PjzL0ekmdz9UIQxHqDTX6TVrV3/pz95R/bUwPD6z+aJ//3zD46TWTzTAy+tX3/TzPLFz74xSld+MOvufePAhefqOHYOvuevBAywdCRlo+IwEgtWDhlgnzLQEgW+nTywZVAz32yzF9JxLxfdpd3y6YRejbTNAHgWdQq6b0ZKcf6edRJ5jOWngG2qViEa1S+CFxFoy04V2JKnEGi/TSOveSo/IOb6tvHpuQsWPqAQdlIqZjQRTbUHdt7TDcQROrImVQMWCqOQB40iJE0HsmNSmwYIcY6O+dF3qnqAv0NQrdlM8MR2nXz5FvaKIE9h/VBHHNVaMOCRC4yvB2Ssdzj5lLXuOLL32zNMvefCUU1d+ZGauPbN+2ZrnGw4nvX5qAA6wccMagLFHHn3yvedf+JY1Qd+/csYpj7/Gie/iH25sQehz/haPtSvH+fQ36jjKp6+hWLssplGb4+HdVfq6DvWKSxS79hSNSOfFmKKLyLXyT3uxnUROaktRpAzT/LuX4Ht2sJZB0027ZeKkEEgtaFIopQmdTAGZzg+VJMRa04nthtXaqxmS7KI0USKLzaawFMiNBKFrbYiTRKG1HeqaDRaoBTDcp+hrwCP7Q1pdQ7UiWTYkaYUhn7tRsHbYY9sWmIvafO/BEX7hJWeyZdPGay+/4vzfaXem9taaS55vCDzj9VMF8Gxt2bSc7Q8c2ju4dPM7lgxVPhtF63/7ipknLj20fxenrJpgz/GYyVnJygHJYBOWDM3xrbtb7Nnvsm2TSxip3FZZKgdfgZ/6kvvZBtMTKee22nRHzfPqFqUZoCprjbNFo1xuak6ihUIUOWuwm9UwSgjTjIrNi5cEVtq2lJHnxUXa4idxI0U3VoSxIood3FjaM5SwgrRm3eHc07oMDE5zw/Z+lk5r2l1Bf12zdKTLAzurrFkxxJlnnMUZL1h3i3QbH1mzbvR+OLK3Hqx7vj/2Z7V+KgEOcOEZywCe6HTNE1Lx4MyUWHbFRad/fGzs/o3X3HSXikLbu9lfN/TXZ3jyuEuno/L8sO/GKEejlEfVEQSutZXzXUHg2akEFd8WlFwnlcGaNO+c253ZBgzfS9j1pOTBnR5OaRyffU7heputsta7vIyRnLk+5pQVIeOTkJgsf16kBRE2oseJ9d82RloXAilxlaHrKbqhoht5uJGLjmM6sfXyxlj7jtFhw2Q7ZHrOo92RKKF4ybkOmzaclZx75tlP+G70n04/66JDwGNlEdlP4/qpBXi2Al8APDY7PfmY1snLlS9X/Ndf3/alL1x7U3O4MlUbaExz68OC/Ydc1o1I6hXoq4ccGOvy0a/2gQloBprAhYonqPiSim/BXQkktQAC3zbaTswYiERqkJN1FBl8N+GJg4IHdvp4qSNruRIq0zJ/Nkc+q1Ra7/Iijx1ryZkbYjatCLnlmG2Ghqzv0b4uIQRTMxFhpAl8lbeOCWFB7rmKiu8w13GpV6q8/edm+JPPNZicqzHb1hyfcli3QnDR6XPsO1DBiBoDI+vmNm972fTuQ1w1MrzhoFLO3p92YGfrpx7g2ao3+2l3zd5zzhzcv+vA1Na3voEL+6rOJwJzf3zw1vsHG5VOY8mAw0h/yEBziq/+QHDrPUOMNAQVR+O7Fty1iqJWddJIbifHrVjSZXyqy8O7XTzHw3MdotiCVQpQTmKdaKVje0p7zPtt47TrSKSwCsGsMhh7ohBUaUmcOGitEEmSz7wRwm54K75iZEDgeyG7DkdMTAqWD5tMFJk+V+J7ilqoCEOH6bkGV5ylufWhKa672ePoJBwb9xkd6WPNmvrM6vXnjl9+xalOpT9+W21gzfbTB4anwOgfxnD+J239mwE4QMVGc33s6OGJgVNWf2tmZvbU5vjnui9/2Ud+r9m4503x3P5o9YrDmx895AZfurnGlhUKIRPrD+JKqhVJX8NhuN+gtSaMFBXfsGJkhrl4hv3HB+mvKPqbKjULFThSE8cxe496RIlPw0tHsIgC3IEnqVUsaGZbCd0IhFBU/Azc1nqh23UIfI8VoyHioZg4cdNNpCQIJMP9Cf3NaVr/GnFwosFgQ9BXt79zetaQaIfAk/TVFdponhxzODy2lNdcOMGh45qZ6UZHes0d9aH17q+86JzPLl959Z+9Yecf+47f7Bw+HOtly/5tRO3y+jcF8GyNLBkFu99rPbFrN77jfMh11IcuuWSVajZO+eiO7d1TX7j10IsGg6MqNBNsf8AaglcDyVCfYN3yGR7Z12ViZoh1yzVhHHHbQ7B/TFId1ak+w9bIPC9h5yHDV25uQNej0aeLimOqzqtWJKNDGm1C9hxK0ImDFFALZGHEbyStrkezVuGqS2e4fUeH9pRrPyRlq6a+q1m1pMOFZ7TZe7hGN3IYaEomW9M8ukchZYWKrxhsaOa6mjt3ONSDUS7Ztjn5/bct/f7tjww9FrXbbxdCJ0FQ4diR95mRJWtbz/fn9Vyuf5MAL6+N69dBIY+Ox45P/Nq/e4U38OILJ95//703efc98kCyflXzBSuGgnPb7Sm0niM203ztjoBta2N8L0GqkH1HXSZnHOIRQxRptFapi1PMPY8r7tvVYO0gjPZHzHYUUQJS2OJQLRCsGO7QYZKD0x50K/TVJGFspwK7jiHRCU+OuURxP1vXdDjnlDa33Fkj0RIpRWpypOmvw+qlGm1i2qHVjFy5rcXdj3u0O4JK0IdXG6VvYPruwcHxe1x/g1p56kvDoeGB/3baaeFEpdr3QxzNn771bx7g89fw0ADABPCfAb757Zs59xwulSQv23u0ddXSZmvTYOMo/fUDDA8q6pVxjkx2mJqt47ia2Y4gSg30rflQRDuW1Dyf9UsEF58dc8N9ETMTQeqLbfXV9WqESNq0I0nSNnRjTZIAwlANQibnprjprmFedEaVob45qk5EpI3twxQC1zXUqyGtDngGKn6LqZZHJ6rhecO89IotbFpW55Q13qOhHvpSo+5++9IhbjntjBc934f8eV3/1wF8/nrFyy4HuOXxfeO3rNvM95qVZMPM9FG9fOj/6M2bRtdt2Hzau+548DHO2tTP5Wft5ft3TzPbgjgyuCoiirs8cUDSXxWsGJZsXu0S1Ma4/rseSrrEiUYIO7Kja6xCMIwtLXGULZnPtjVf327YtV+xelixZlmF9ctboGLaXUE3DJFGMjY9x117Rrj0rDP42ctjlLORQW/6A0Ie3v36V14ihwaG5MCA2Ql8S4ilz/eh/YlY/9cDPFunrB4E+FZ2vzN7FKmC/qiz9/bhw3Du1kb0wrPW/pfTz3BfqnAZ6Tc44b+wZ2yCvkbAkoGAZSMe1UrE6avnuL3Zh1Tw+IGE9csrYDrMdWyXTzuM6HRhzegMxyYF+w4L7nlMUnMlrdCnG9dIiDltvaEmh/jZn7mAFUsclBvS2q1u8KqdD2/eELrLlp/F1o3Lb2m1u5OrVvz0VRl/HOv/B/gJVlBfAjAJfBVgcvIAQrBjW80sFUJoT8Uc2X0nE0c8RgYCKoGLMSZavf6Cq2dmV7zqwvNqkVCGPYc0q9YGHOqESF/z766UuNJgtM/mzVP4TwoMNV5yaezW/OF/jiYfutrgutPtGqODCcLUOP30rfQ1XKQ0cmBUHgF2n3fR8uf7EP1UrH97eaHncR3edwsCsfT48Z199z/uGZRm/2HN2af4HJk09FVtr2NfNebohM8LNs2w77Ag0TV2H0MsG1k1ZYw58guv/L+bN/8o1/8HBX+YLx5eKpAAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTk6MTg6MTkrMDA6MDDSERR+AAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE5OjE4OjE5KzAwOjAwo0yswgAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 46857163
    {'hecke_orbit_code': 27021597864887097, 'n': 1, 'trace_an': 3}
  • id: 46857164
    {'hecke_orbit_code': 27021597864887097, 'n': 2, 'trace_an': -2}
  • id: 46857165
    {'hecke_orbit_code': 27021597864887097, 'n': 3, 'trace_an': 27}
  • id: 46857166
    {'hecke_orbit_code': 27021597864887097, 'n': 4, 'trace_an': -42}
  • id: 46857167
    {'hecke_orbit_code': 27021597864887097, 'n': 5, 'trace_an': 0}
  • id: 46857168
    {'hecke_orbit_code': 27021597864887097, 'n': 6, 'trace_an': -18}
  • id: 46857169
    {'hecke_orbit_code': 27021597864887097, 'n': 7, 'trace_an': 68}
  • id: 46857170
    {'hecke_orbit_code': 27021597864887097, 'n': 8, 'trace_an': 24}
  • id: 46857171
    {'hecke_orbit_code': 27021597864887097, 'n': 9, 'trace_an': 243}
  • id: 46857172
    {'hecke_orbit_code': 27021597864887097, 'n': 10, 'trace_an': 0}
  • id: 46857173
    {'hecke_orbit_code': 27021597864887097, 'n': 11, 'trace_an': 363}
  • id: 46857174
    {'hecke_orbit_code': 27021597864887097, 'n': 12, 'trace_an': -378}
  • id: 46857175
    {'hecke_orbit_code': 27021597864887097, 'n': 13, 'trace_an': -290}
  • id: 46857176
    {'hecke_orbit_code': 27021597864887097, 'n': 14, 'trace_an': 916}
  • id: 46857177
    {'hecke_orbit_code': 27021597864887097, 'n': 15, 'trace_an': 0}
  • id: 46857178
    {'hecke_orbit_code': 27021597864887097, 'n': 16, 'trace_an': -590}
  • id: 46857179
    {'hecke_orbit_code': 27021597864887097, 'n': 17, 'trace_an': -434}
  • id: 46857180
    {'hecke_orbit_code': 27021597864887097, 'n': 18, 'trace_an': -162}
  • id: 46857181
    {'hecke_orbit_code': 27021597864887097, 'n': 19, 'trace_an': -2856}
  • id: 46857182
    {'hecke_orbit_code': 27021597864887097, 'n': 20, 'trace_an': 0}
  • id: 46857183
    {'hecke_orbit_code': 27021597864887097, 'n': 21, 'trace_an': 612}
  • id: 46857184
    {'hecke_orbit_code': 27021597864887097, 'n': 22, 'trace_an': -242}
  • id: 46857185
    {'hecke_orbit_code': 27021597864887097, 'n': 23, 'trace_an': 640}
  • id: 46857186
    {'hecke_orbit_code': 27021597864887097, 'n': 24, 'trace_an': 216}
  • id: 46857187
    {'hecke_orbit_code': 27021597864887097, 'n': 25, 'trace_an': 0}
  • id: 46857188
    {'hecke_orbit_code': 27021597864887097, 'n': 26, 'trace_an': 2132}
  • id: 46857189
    {'hecke_orbit_code': 27021597864887097, 'n': 27, 'trace_an': 2187}
  • id: 46857190
    {'hecke_orbit_code': 27021597864887097, 'n': 28, 'trace_an': 580}
  • id: 46857191
    {'hecke_orbit_code': 27021597864887097, 'n': 29, 'trace_an': -4538}
  • id: 46857192
    {'hecke_orbit_code': 27021597864887097, 'n': 30, 'trace_an': 0}
  • id: 46857193
    {'hecke_orbit_code': 27021597864887097, 'n': 31, 'trace_an': -14968}
  • id: 46857194
    {'hecke_orbit_code': 27021597864887097, 'n': 32, 'trace_an': 2496}
  • id: 46857195
    {'hecke_orbit_code': 27021597864887097, 'n': 33, 'trace_an': 3267}
  • id: 46857196
    {'hecke_orbit_code': 27021597864887097, 'n': 34, 'trace_an': -13704}
  • id: 46857197
    {'hecke_orbit_code': 27021597864887097, 'n': 35, 'trace_an': 0}
  • id: 46857198
    {'hecke_orbit_code': 27021597864887097, 'n': 36, 'trace_an': -3402}
  • id: 46857199
    {'hecke_orbit_code': 27021597864887097, 'n': 37, 'trace_an': 6190}
  • id: 46857200
    {'hecke_orbit_code': 27021597864887097, 'n': 38, 'trace_an': 11668}
  • id: 46857201
    {'hecke_orbit_code': 27021597864887097, 'n': 39, 'trace_an': -2610}
  • id: 46857202
    {'hecke_orbit_code': 27021597864887097, 'n': 40, 'trace_an': 0}
  • id: 46857203
    {'hecke_orbit_code': 27021597864887097, 'n': 41, 'trace_an': -8926}
  • id: 46857204
    {'hecke_orbit_code': 27021597864887097, 'n': 42, 'trace_an': 8244}
  • id: 46857205
    {'hecke_orbit_code': 27021597864887097, 'n': 43, 'trace_an': 33592}
  • id: 46857206
    {'hecke_orbit_code': 27021597864887097, 'n': 44, 'trace_an': -5082}
  • id: 46857207
    {'hecke_orbit_code': 27021597864887097, 'n': 45, 'trace_an': 0}
  • id: 46857208
    {'hecke_orbit_code': 27021597864887097, 'n': 46, 'trace_an': -35680}
  • id: 46857209
    {'hecke_orbit_code': 27021597864887097, 'n': 47, 'trace_an': 24640}
  • id: 46857210
    {'hecke_orbit_code': 27021597864887097, 'n': 48, 'trace_an': -5310}
  • id: 46857211
    {'hecke_orbit_code': 27021597864887097, 'n': 49, 'trace_an': -14693}
  • id: 46857212
    {'hecke_orbit_code': 27021597864887097, 'n': 50, 'trace_an': 0}
  • id: 46857213
    {'hecke_orbit_code': 27021597864887097, 'n': 51, 'trace_an': -3906}
  • id: 46857214
    {'hecke_orbit_code': 27021597864887097, 'n': 52, 'trace_an': -18780}
  • id: 46857215
    {'hecke_orbit_code': 27021597864887097, 'n': 53, 'trace_an': 22934}
  • id: 46857216
    {'hecke_orbit_code': 27021597864887097, 'n': 54, 'trace_an': -1458}
  • id: 46857217
    {'hecke_orbit_code': 27021597864887097, 'n': 55, 'trace_an': 0}
  • id: 46857218
    {'hecke_orbit_code': 27021597864887097, 'n': 56, 'trace_an': -40012}
  • id: 46857219
    {'hecke_orbit_code': 27021597864887097, 'n': 57, 'trace_an': -25704}
  • id: 46857220
    {'hecke_orbit_code': 27021597864887097, 'n': 58, 'trace_an': 32304}
  • id: 46857221
    {'hecke_orbit_code': 27021597864887097, 'n': 59, 'trace_an': -13756}
  • id: 46857222
    {'hecke_orbit_code': 27021597864887097, 'n': 60, 'trace_an': 0}
  • id: 46857223
    {'hecke_orbit_code': 27021597864887097, 'n': 61, 'trace_an': 24602}
  • id: 46857224
    {'hecke_orbit_code': 27021597864887097, 'n': 62, 'trace_an': 7704}
  • id: 46857225
    {'hecke_orbit_code': 27021597864887097, 'n': 63, 'trace_an': 5508}
  • id: 46857226
    {'hecke_orbit_code': 27021597864887097, 'n': 64, 'trace_an': 35474}
  • id: 46857227
    {'hecke_orbit_code': 27021597864887097, 'n': 65, 'trace_an': 0}
  • id: 46857228
    {'hecke_orbit_code': 27021597864887097, 'n': 66, 'trace_an': -2178}
  • id: 46857229
    {'hecke_orbit_code': 27021597864887097, 'n': 67, 'trace_an': -16868}
  • id: 46857230
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  • id: 46857416
    {'hecke_orbit_code': 27021597864887097, 'n': 971, 'trace_an': -3854412}
  • id: 46857417
    {'hecke_orbit_code': 27021597864887097, 'n': 977, 'trace_an': -44363870}
  • id: 46857418
    {'hecke_orbit_code': 27021597864887097, 'n': 983, 'trace_an': -90347632}
  • id: 46857419
    {'hecke_orbit_code': 27021597864887097, 'n': 991, 'trace_an': -42874088}
  • id: 46857420
    {'hecke_orbit_code': 27021597864887097, 'n': 997, 'trace_an': -2945634}