Embedded newform data - 43.7.f.a.22.10

Formats: - HTML - YAML - JSON - 2024-06-07T19:43:44.994703

• 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': 2107, 'analytic_conductor': 9.892325595653594, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 43, 'char_degree': 6, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 14, 'char_parity': -1, 'char_values': [43, 14, [3], [9]], 'cm_discs': [], 'conrey_index': 2, 'dim': 126, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 343714824235, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 43, 6, -1, 14, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '43.7.f.a', 'level': 43, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [43], 'level_radical': 43, 'minimal_twist': '43.7.f.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 21, 'rm_discs': [], 'sato_tate_group': '6.2.3.c14', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '43.7.f', 'trace_display': [-7, -7, -7, 0], 'traces': [126, -7, -7, 725, -7, 244, 0, 2233, 6312, 1955, -985, -455, -4485, -6771, 5017, -41935, -10409, -5110, -33397, -24507, -5448, 25193, -29017, -1885, -2080, 34713, -7, 28665, 17353, -290052, 13547, 458283, -94801, -191527, 183008, 956352, 0, 304607, -381031, 66419, 313447, 0, -323228, 281588, -1237551, 80948, -180133, -762055, -1861754, 0, 999215, 471797, 1030011, -92099, 324233, -842713, 331037, 849461, -369609, 553323, -594727, -886711, 1914136, -3250219, 1473521, -427559, 122535, -602346, 4320057, -1694994, -770707, -391202, 476945, -3943812, 2061367, -2044462, 3016216, 239350, 5077268, 0, 2388946, 5820437, -1324235, 3759618, 0, -4967947, -3537894, -7289555, -4331495, -12825206, 1802976, -12038260, 0, 6249341, -5313259, 7069598, 788975, 4724783, -2216971, 8296998, 1534675, 5136149, 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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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-0.49173220208755, -0.2445277508878849, -0.2710409875302112, 0.026297574649795787, -0.41376042815708797, -0.459859983116982, -0.2537704925400283, -0.27542836013087785, -0.2374819710567676, -0.40253540031583696, -0.4542022637960987, 0.166993832834914, -0.07942913133525656, -0.045200210503930624, -0.2722230443994778, 0.07028329184714514, -0.4489893884184221, -0.49136348840191824, -0.3816794227877405, -0.039038831443045124, -0.47620447868950977, -0.09360137744905474, -0.15504069526445846, 0.18904817604489246, -0.4092075295535416, -0.09750786682558985, -0.1861648260177054, -0.33080398195644395, -0.33226717891168617, -0.1116686294277445, -0.4528717337873888, -0.12226170253639185, -0.4538731037004198, -0.2650029473833221, -0.45395246445590426, -0.11254807168996468, 0.14847408290956024, -0.21156455945104874, -0.22775002337697606, 0.05495900061137663, -0.179180474986803, -0.4710790374976103, -0.2559215914587295, -0.3821577517462181, -0.20265919483573358, 0.0032404824811896713, 0.25307735187752356, -0.3579469986354021], 'char_orbit_index': 6, 'conrey_index': 22, 'dual_conrey_index': 2, 'dual_embedding_index': 10, 'dual_embedding_m': 10, 'embedding_index': 10, 'embedding_m': 52, 'hecke_orbit': 1, 'hecke_orbit_code': 343714824235, 'label': '43.7.f.a.22.10', 'level': 43, 'weight': 7}
• 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

  
  {'Nk2': 2107, 'analytic_conductor': 9.892325595653594, 'char_conductor': 43, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 14, 'char_parity': -1, 'char_values': [43, 14, [3], [9]], 'conrey_index': 2, 'cusp_dim': 126, 'dim': 126, 'eis_dim': 12, 'eis_new_dim': 12, 'hecke_cutter_primes': [], 'hecke_orbit_code': 343714824235, 'hecke_orbit_dims': [126], 'label': '43.7.f', 'level': 43, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [43], 'level_radical': 43, 'mf_dim': 138, 'mf_new_dim': 138, 'num_forms': 1, 'prim_orbit_index': 6, 'relative_dim': 21, 'sturm_bound': 25, 'trace_bound': 0, 'trace_display': [-7, -7, -7, 0], 'traces': [126, -7, -7, 725, -7, 244, 0, 2233, 6312, 1955, -985, -455, -4485, -6771, 5017, -41935, -10409, -5110, -33397, -24507, -5448, 25193, -29017, -1885, -2080, 34713, -7, 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-155226859, 4213703943, 0, 1164965935, 3723004734, -1372696269, -1879251703, -5037465871, -10211650764, -10691774390, 0, 3923133746, -601652829, -4946979519, -6280617359, -16009741818, 2397654867, 4167006450, -2483467248, -1026872467, -9319654303, -10211371387, -2036345052, 10495272949, 5326920251, 8029105000, 1982233784, -15799797638, -3364011667, 8804696138, 6879111449, 8384787215, 5540858225, -718012393, -4509516749, 9510748989, 10701668096, 12728126390, 4824283779, 6350329004, 0, -7199259835, 5486421605, -1461813509, 146661054, 0, 2852725929, 2904176790, -349080991, -3758151579, -4912086199, -10181459540, -7298145834, 0, -536551141, -5221090547, -14160811023, -5343581766, -5862486679, 2301170349, 3083676593, -3095129429, 1019657533, -8948667409, -8479316664, -5310907231, 7160922377, 12534286284, 4908903650, -42106846, -8374160863, -2547924094, 2795555777, 16478016723, 13056357377, 12657510649, -4451406701, -411413622, 4576964672, 15534606801, 12045513088, 1315240673, 819601766, 0, 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9588949048, 10519676524, 4474987420, 0, -3848152852, -1280600538, -10139902201, 7990504262, 0, 7936112811, 7128407864, 2934634024, -8855745255, -7435481574, -10267893818, -5585053198, 0, 3828102215, 711490202, -25496974400, -6631284579, -12693228779, -1084989815, -4662998898, -316817528, -5272321507, -7182922281, -16246606733, -2917460091, 14614690370, 6359085315, 1039510682, 2537036609, -18375174116, -7103406244, 10700888387, 9322673689, 33694831681, 8663623584, 1985829909, -2865909427, -1753357662, 12226863089, 9163108346, 7385508612, -4247035500, 0, -1013532856, -3574238311, 4893141480, -1237864071, 0, 12277737468, 4079807086, 3452499505, -599559282, -2536404033, -16586532872, 2539349676, 0, -2524545135, 4269322907, -15167752899, -19990159066, -23004315411, 8815180407, 800793956, -4919443298, -4289954589, -20644687822, -13882126930, -422649241, 1297142721, 18295264235, 6036365496, -5294546089, -11611136017, -606234727, 3380010809, 36668778069, 12881644671, 861630126, -3231346167, 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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: 3701151
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 22, 'source_dim': 126, 'source_embedding_index': 10, 'source_hecke_orbit_code': 343714824235, 'source_is_minimal': True, 'source_label': '43.7.f.a.22.10', 'source_level': 43, 'target_conrey_index': 22, 'target_dim': 126, 'target_embedding_index': 10, 'target_hecke_orbit_code': 343714824235, 'target_is_minimal': True, 'target_label': '43.7.f.a.22.10', 'target_level': 43, 'twist_class_label': '43.7.f.a.2.10', 'twist_class_level': 43, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 7}
  • id: 3701152
    {'conductor': 43, 'degree': 6, 'order': 14, 'parity': -1, 'source_conrey_index': 22, 'source_dim': 126, 'source_embedding_index': 10, 'source_hecke_orbit_code': 343714824235, 'source_is_minimal': True, 'source_label': '43.7.f.a.22.10', 'source_level': 43, 'target_conrey_index': 2, 'target_dim': 126, 'target_embedding_index': 10, 'target_hecke_orbit_code': 343714824235, 'target_is_minimal': True, 'target_label': '43.7.f.a.2.10', 'target_level': 43, 'twist_class_label': '43.7.f.a.2.10', 'twist_class_level': 43, 'twisting_char_label': '43.2', 'twisting_conrey_index': 2, 'weight': 7}
• hecke_orbit_code 343714824235 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 6, 'hecke_orbit': 1, 'label': '43.7.f.a', 'level': 43, 'portrait': 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9m/OaDbjzm/rJlsOOzeHLF9Q496zUdISxAI2v0qS22XyZrAkQ7nF12OnhOcXIg4vRLhVfu85eYe77oVPNni0Kkmpy8o5jPmXrIcXbbcdNUS//LDa2yebHHq/BTzK1WW1hyW1yQr7YjVdki7F7PWjbjQr/N931YzH3775Z/aNDP9w72h32lu+cA3GxJ/rsdfa4CvrrXRUmCs/fnDxw++RnV/R55ZWHvNwvKi/tbbmpycn2G1XWWl47La1qy0YbUds9oOWVmPWViHYyuC2Zl1fuZ7V7hlb40zF6Y4v1jn/LLmwoplYTni7FLMYjeiNTXktdf0uG0/uLKKpzwurFaYX9YsrAr6PkSRoeIa6pWYyYkIA5xaiOj0YMcGh3rVx1oBwqU3MGzf6LOyrsEmUmS9B34EFstqO2DLnEN3oBDKIoxPs+KwfdOQ9b7g1HlNbDTTTUmjIvAciCJB35csrErmVywX1iI8bwhOxO1X9njNVYLZZpWVtSZnLnicX4YLyxEXViPOrcKxFctNVy7zb753jY2tJqcXplhYqbK05rLclqyux6x1QtY6MWs9y1JXcPiC5R23nWKitiFaHsw98u/+8fvN1s37H4ki8c+qVYtXaX6zofKqj7+2GvyRh/6Ivftu5h/9o3/0c5//4n3/x6989N49j7xyYacQy/KaXQGXbbaEsYM1CpAJqKwEJCAQwqKFxZVwfqXKE0cl11y2yv5tQ2oVcLTEdRSuq6lXJTVH0u85HDpZ4Z5nXE4t+nSikENnfDZMr/Lu165xzZ4uN+1vc3I5YrkvqHlDjp+3tDt1rt4tWR/GHDipaNQ0L5+CyzdbhkHMMHbROmSyAQfPeCgd48gI7cDAl9yyv8+gL7lmT0xnEHPqfINdGxX1WsC6b5lr9VnrdfjUffDciZgXTgzZsXmFa/d1mJwKeOftXb79DZbLNjaIwxYnzk1w7KzDmQXD2cWQs4sxxxYFp9dDrtu7xM98b5cNrRZnFqa4sFJjad1lpS1Za8e0uyHrvZj1nmW1Dws9RbsfsrHVZs/mJfmOm9Z3TunTu9ba3Do5u7Vab0x+/Q8//Yd85lOf+WZD5pKPv5YM/vA3PsPt+y9XX3zi6X81P7/+z+9/9JQ6cHLI2Y6iM4zYt3OJX/7hZa6/rMaFlUlW2jVW2xVW2w6rHc1aF9baMWudiNVuxHIbzqwJdHXIHVet8qE3BOyaq7Pea7K4WmVp1WW5LVhtG1bahrWuoTMwdHxLfxgx3QzZvsEAAs+xnF10ENJjx5xi12bL5rk+F9Z8nj/S4MbLLbXqGi8dnaJRDwgCh+lJw2AIV2wf8gf3tdi3LcL3LTMTkjAe0Kh4vHxySNWpc/3eiBeOB1xYcdky7bFrE2zfGKBUyNllcB2LEJYdGyImG5LuwKPXd+j0HVY7itV1WGkbVtsxy+2YhTasDGO2b+nxoTuXuWO/puI0mV9usrxWYXlds9IRrLcN692QtW4C7pUeLHQVF9Yjbtm3wC/+yDL7tlVY60ywsDTByYVJ+nZLPDXd+rl27/X/puq9FH/nh77tmw2dix5/rQB+9OgRarVK9fCRM9vPn37hg488d/ZnDx2dp1l1WG4blrqCha5ivhdy0+4L/PKPrHLt7iqLa5OsrNdY61RY7TisdTRrHWh3DevdiLVuxGrHcqEtON+zIHq873Vt3nmLYfemCkFQY61dYb3n0u4q1nqCbl8w9C1BZIljUNLiOVD1LK2mZW4qRDtDjs0HvHjUw0R13n5rgHbWefrABDs3wVeeiHjd1R6L7QEVrYjikKlJiEIH7USsrNR47Q0dvvJog12b4KkjPg413naLIRIDXjwWc+JsBS1dNkxqJuuCqidwXYESEBkIQsswgG7fst4zdPuG9b5hpWcZxDE7tvZ5521t3veaAEyDlfUJFlerrGRk0Ib1bky7F7HeLZh7vqNY6sTctPcCH/mRRa7cUWVlfYLVdoOl9SqLqw6e06dS30jb3/kvrrn6qv82MbX1dBgMB/v3//UJQv/aAPyxpw9g1LRbMSe+/+zpo7/2tXufFStrPRkbQRRb+kNLewBrfcniQDLfDbllzyK/+EMr3LCnwvJ6i5X1Omsdj/Wuy1pXs94VtLuWdi9mvRvR7hnWepbFrmC+bZhs9fmWm7rcvj9ixwZFs+rQ6VbwHAkogkhijMBY6A8BYZhsDDlyzmJswN1P1fH7VfZscbnjmj6hWeeBZ1pcf7nDkYUe7bUmt13T5+tPe2yYshw4Zfnf3tvhwEmPDVOSe55R3HGFYrXf4fiZKa7fG/DAiwMiv8btV7pctm3IIOrxtacVxIJjZzXNmkYL6A8kxgpiYwkjQBq0a2j3LPVGyLZNPq+5os+33BgxXa9wYXWClfUqa53k2qx1BO0etLsR7V5EuxfT7ltW+5KFrmC5G3HrviV+7oeWuHZXhaX1Cda7NdrdCutdl95QE0eCIDJExjMTc9faK6+47EdvuGHPx7qrS0Fz+opvNqSAvyYADyNfxmH/3S8888d7zi2Ijyyeeco5etah3TMEocEPTJKgGRo6A2gPEpCfb0fcfsUiP/9DS9x4mct6Z4KltQbtXnIT1nuadlfR7kO3Z+n0Izq9mN7A0O5blnqCpR6Esc+1lw/YOBXT61vecZvPzo2GKJZoaQlCuP/5CqcXK2yajHjpWAVMjf1bFTfsM3iVPk8f6bO0XOeqnXWarTUefcHh5ssrrPTXWVtrsnGj5YkDiu9+U48nD2i2zjks99qsrU5xwxV9Hn0pZqra4qo9PRbbbZ54pUVV17lpn2Xv9iHIHs+fEMxNhVxYCnngeYdhqJASYmPZuSngW24L6PYUmycNN1wOQVBjtV1jte2x3nPo9BXtnqTTg04/ptOL6fZjOn3Det+yOpCc6wjaA5879i7xb35wjZsuTxZHu1ul0/fo9F26fU1/KBn6Ej8UrKxHHD0z5D3vvCVc6al/8t0ffM/RiUbti1q75puNrW96JjPw+wTD4HvvffDpXzl78uBUQw2QymG6pZHS0h/EKBkhRKKBwSKEQUqLlJonD2/gn/225r13rPIdb1pl15aAhZUmnlul6rnUPId6VdOtShoDh4m6pj+M6Q1iNvjJwukOPVaXKpw9Ywkiw7mFCM+zgMBVFi0F/YFC4BD1NdftFFy22bJ9Sx8/7nLXk4qDRyd5640eN1yxxifusriixs4tfV54VLGlpZhp9qmoKkHosNiFekWzdYPguYMBN+yt8obrl/n4lwa4ToO33GpxvD73PhHwlcfrvHKiyu7NNXZuipmdDNg1E3L1zhilDFpZwFLzPGZbHkHo0O27vHTEoTfU9AeK3lDSG0BvaOn1k9+9O4jpDSydgWV9AEt9xYU1S22izY+9fYn/5Q6fa3fXmV9u0u5V6fZdOn2H3kDRG0j6vqQ/FPQGlnbfopTk819+yrnmqvqvzJ/evKp23vYPO93+x5uN2v+8AG93+vih+MFTRx7/+aefuG9qMFjjlv0efpAEc7WqABRCghAxQoAQSSeNkhYlY1wpeeHILM8ernPk/CLvfU2P11w5pNVostquUe9UaA5cen1NN73Zg6Gm72uGvmUYGILQEoaWKE6eQeRiDUglcLSg4gpaDcFkAzbOGLZu6DMz2earT8ODzzpIM8Fbb3S4bn+Xh18JCYZN7rhO0B4MWFypc/tew0yrT1V7DCPFUidEGcF1ezW1hs8zhyq8/oYJbru2yzOHFNgJbrzS5QfetcrXnwu458k6B05X2D6r2DhVZbJRY6IBVQ8cbVESjIUDJwRxLAgjQRCBH5L8jn7MwDcMfUN/aOj7ht4AOj4s9SSLXfDNkDdfv8q7X9Pmu95iiKImC8t1Or0K3YFLb5CBW9EbCvq+YDBMCCgIYqRIupH66yt88Utfn9p7tf133/qO1+kw7P2249T/5wO4jdZAmR+4/4GHfr47//W5vZuH+FEdP0xYyXMtsRFgBUIohBBISQpuUMqilcVRhqojWO5X+eR9W7n32Q6vu3qdD795nat39Zhu1VhZr9EdePQHTgpslTwDgR9KwkgQRclWn9RuJUGl1lBxoVY1TDVCtsz1iehx5FzIpx6ocPxMnZZX5eYrNbdf0+GJw23ufqzJrZdX2L6pzx/cJ1DCo9kIWe/5GAtKwGyzT6frYqIq737dIp/8So3LLlR45619gnCFB16cJowr3HLlHO+8ucPl29rc+0yfF87UeP6Ey9YpyVRTUPMErpMsQpkufmPBGEsYpYs1tPhhspCHAQwC6A4Fa75gtQtCD7l+3zof/pZ1XndlzHSzylqnRrtbpdv36A0deoNiJ+j7ksEQ+vnCifHD5OdVXMGp+SqvHF/nuSNfm5ttxT+/Z98b7Jlz67+zbcs3p5Porxzgn/7Ux1hnKx//zEPfV3MXP7LRe2pmutGlomsMfAgjSRAJUpwhhEifEiU1UsYoJdLt2eAoi6ctVS1YGypW2pN8+v46j7/U445r1/nwW9a5/rI203GVKPLoDyv0Bg4DXxOEijCSRLEkNgJjBQKLFBbPNdQqEZ4b4Do+51Z8vvSU5OhZlxNnJ1HG47JNLlfsUty4v4PylnjxWIMtrRpX7YaNs2usdppcvUUSGctXn/Tw+5JWPeJttwz54gMhpxca7NvjML8+5OXjDts2THLtriUefqHLoy8L/MBl/64p9m/z2L+1y7H5VY6egycP1jhyvE5NCzwtqXuWigNSpiLOJos1iiGIIIgFPV/QGQo6IQQmwtghN13e4cPf0uF1V8dsmvIYDidYaVfo9jx6Q5f+QNMbKvpDxcAXDIaSgZ8w9dCPGQQxQ9/gB8lCCmPo9CMGARy/0OEjv33v3N9935mP7JybiH7px/nET/xHK/whtlH9qwv9/koB/ku/9vt8y+XHuPeo+K4vPjr/H188frD1099zgR3b66y2Be7AZehrhqFKm3pBSomUoJRAK5W+GrSKcbTA1QbXsYmkcWNaFUHXd1jrTPLZB5vc9/yQDZN9Pnhnm/3bhgwHPa7aZdm2UeGHDnGsiE2SKBJYpDQ4OubUBcuJBcH6wPCFh2ucW57EBg6TFcXmac2OjZrdW+CqyzoYucxvfrHO6uoEt+7XXHVZm3ufF4jIYW5SUq9F9EMXaSVYidIu7aHgwqrgSlvjzhu7PPJMlc0zLrdeNcXfe9cyH/tKlycP1ekNHVbWG+zaXGXfpj637O3yba/vcn51lS887LHS9zg173DunIujBFJKBAJjLbGB0FjiyDA5HXLNlX18P2T/Np/33+kzN6GYaniEYYX5pQr9gUvfT3a5QQ5smYDbFwx9kp3AjxkGBj+IGQYWP7AMQ5tIolDQHcJ8z6HaPcuEODjTXb/ul9/9Y4f/hYn4ARMHD/5VYu6vDODPPPoH3HD7XvGx34s+cOrs+d9aXjxbO3hI8/QByw17+kzUZZJ9VAYVOGiZOARKWqSUKCnRSqBV+qoFjo5xtcB1DBXHUg0ttcAyUYmZrAr6gaQb1Dlxts4v/uEUmAgRRdx4TZ9dGwOiCIw1WJsEsFIIpBJox+XQaZcDRyvUK5qGK5mpCWanJXNTms2zih2bYvbtWCcWK/ynzzU5dbrFrXsd9u+MGURdHnvRo1V1mJ6wtBoBtWoihYyRtIeK1Z5lpR3T7lV57VXrPHWgz8HTilazwi1Xtvihd6/wq5+HZ47W6Q0s613NhdUmG2dqzE0O2TE95P/8QJ9mrc0LJ+DQGYnjWJSyaUBuk/9ZiCLYuTHmjqsj4tAhjDysrTEMHBaWXQZ+sqMNA5XLt0EgGPqCYZCwth8kWVk/MPi+YRia9L0U3AEMQsEgECwPJd0o4vXXrnPd5Za7Hjw/u9z5/Oz8ma273vwtNzz0a7/1SfujP/Qdf3sAvn7615nYGKszrzz2vn0bVz4xYc9UNkz4dE2X3Tt6NOoKi0o0qkxYVEkHqQxKKpRSqd6WODrRnK6j8B2JHxi8INGB1dDgh4YgsDQj8EODH0EQCYahxI89wrjCwaN1nj8IsbVk3owS4EhwVVLz0fDgqk3QrMJEXTLZUEy3NHNTsH2jz6bZdUK7yn/63ATHjk9ww27F7q2Sy7au8Y2XIy6sTHDjLslk01BxB3jSwypBFEuEtURxwFqvwoUVhxv2V7lub5eHn6mwYVJQqzS4Ya/hx963wn/8vOHlcw3We4b1rmJpTTPTqjPZrDLZnKBZC5mth+y4IcBzIhwdoVSMFInIsySLKgwVi0uaMFKEkSIIFX6YvgYSP5T4gWQYSPxAJGwcCPzAJqBO7dogA3aYvZ/8vUEI/VDQCQSrPgR+wMkzhsdfDrj72ZjzF46ze7f5zf/9Z+PBi2vbPvdj//Yz8X/+qff/zQf45z7z37j38YZCLLw/DM993DUvVF57vWG9N2CiEXHl5SHaUdQrGmtF6o64aGXRSqOlxVEWRyscbXECieuI5CY4At9VBGEC9DC0BFGc6MGo9Iwhii1xbIgNid425OAWApRMujkdBzwtqHiCmiep1xQTNcnkhGBuKmLHxj6N+jqfeyTggRenWF9ucs12xY5NDpdvGxKLdb76ZI26o5mdVDRqQ148Bq8c11y9zdL3FddeHnLNZZaF+ZilNZfBsMbbb+7y0AsDjpxT1KsSz21y9W7Dv/m+Fe5/ecAX759hpWPZMRez1ta0moqJukOj5lCvWiqewXMNno7RKiEJKZN7YC1JwsoIIiOJYkEUiTzeCcPEzw4iCEJBEFqCAPwwJghTUKfE4YflZyJJcnCHkvUQBoGPigYcOir4/bsFjxzwWeo4DOSLlTfOBb93+071d3fOzX3mXV/8fPyud7/3bzbAz6wOpIm733F+/sJ//eIDixXrTvKeO9Y4crrOPU+53Lbf571v6PKhN/doNWO0ilAyRukYrR0cHeNojRNqPK0YOgnT+I4kcAVBKJKbEyrCCIJQJg5CVNh+UWyI48RdiG3qlKRRbObOKJnIHlcLPFdS8ST1qqBZs7Qahg1TPrOTXSK7zqcfknzsK9PMVSpcs12wfZPDzs2GHZvW+NxjltXVCvs3Kiab0KiFXDgpWVzzcHeBHwpmJyStFhw5YVnrGBaWK1y+s8KbbuzypQcrTDfAc12UbHH1ZYK//85FHLnInzw8ySvnKmzohMy1IibqikZVUatKqp7Gc8FzQOvEYZICpCiBnGRhxwbiWBDFpECHMLYEEYRhnJBCaAiy19CktmPmyqQWZCQYhIJeKOhEgk5gCYc+E5UOH3rHCt/2hi637ou5+ynDgVOrvOt2SxiElZU+v6VUR2+eVX9EwjN/MwH+M//5CywN4u87d/zFX37uwNmmtBXOLVb5xT+aJDYxiJAvPxby8AtVFtZW+d++bcBkM6LiRnT6FRzt4mgHRzu4QUzgaNwgkSZBmKTSE8YRCROlrBRFEMYQx4mTYEwScBljsx7OFNwJwJPAVeDoBCAVD2oVQ6Ma0WpEzLYGzEyu88jBgN+7u8qhEy12TjhcthG2bnTZugH2be/Qjzo8caBJVTnMTipaDWg1fCYnIlxXI0SyuAa+y2onZL1vafciFtdctm9scNv+Re5+ss+hc01qXoijXISY4LItiu95yzI37Vvk9+5u8MRLLVZ6mrlmRKsWUatIqhWF5wg8R+I4SayiFKl9mKDckvSwGkMO9Cg26e6WWouRIYoTcEchBJEtnmHiygyjhFT6kaATCroRDIcRJhwwXevyo9++wj/6rh6NqiYY1njvayXvvk2y2m6wuFqnqQ80/V70n/bs2Ouunv7Dj01t/66/eQDvdrsopX7wNz7xuZ9/6uz8tINAOYbNTUnNlXRCST928L2Y9aHLL3/K5cCxNd79+h53Xt9lw0xAt1NloD1cJ8JzHfxA47mJvZcBPAwlQZRsu2GUetoxqfVHytwSYynAnSQpU+YGrZKEietYKq6hWoloVCImmz6bZjpcaPf5tS84fPWpKVbX6uyZFWyfE2yZc9k6J9i1eYh21/nkA5rjZ+rs3SCZbEgm6jFS+pxbsnhaIgVYKwhCzY65Dk8S0+kr1jqWC6tV9m6t8G13tvnMvS4nL3g4OkQIB2PrhJHkxl1r7PjODl99ps8ffHWKp0/W2TIpmKnH1CsxFVfgOQLXSWIVrUgCZynymgxLssiMJXFa4gTwGcijOJF0CdghiJNalyBLHkWCQQTdSNKLoB8Y4r7P1pkOb7hhnfe8vs87bo5xRI3V1Qph5BKEDkPfpTd0GQYaaLK4sDp9rG4+ctWN36Y67c5vNyf+x9SU/w8B+HpnDSvE37tw+hs/3zAH57bPOVSdiPVeUuopifGkoBcJepGiJ6q0Q4dPfqPC/S90uWF/h+98S5933tpmuuUxGHoMfBfPcQgihyDUeaAURYowlkSRJIwFUSSJY0FsRKG1TeKr2xTcIt26lUpcB0cZXMfguTFVL6JR9Zlp9RiEA+590fKpb0zwxEstJl2Hq7dYNk1JNky7bJ6VbN0QsHvLGi+cHPCFh2aZUJrZCUGzLmjWQtr9mK88VqHhWoRIgDXwNe++w+fLjyc1Me2eYXFNs3WuwXtf0+OJg10OHHGpexFKigTkpsYwSLT+97ypzd5Ni3zy/g6PvtLi9FqVjU3BRMVScw0VbXAd0EqgJGmCLPm9s/Ijk0o1Y4odLkqBnhAEhLEgjFNgx4JhlLB2LyaJeYKAerXPe9+6yne8pcONe2M2TGkGgwbtrksQJuAOQs3AdxkMHboDzWrbZWFF8ugrh+euO//Az3/Xt73OdLurH200/vJHVfylArzb6XJuYQ0bye/9oy8//Ev++uemr9rc59zCHN2BxA9jYpOwqEyZ01NQUYKecug7irMdj/OP13j8xR6fuabL+9804G13DJlquQS+hx85BKFDGDq5IxDFiihOEzZxAXBjU+Y2RWJBCJsGlUnGVGuD68R4bkjVC2hUB8QM+Pozkj+8r8VLJyYQocfOScumlmWmpZidctk4I9k8G7J9Y4czS11+/Yt1Ir/K1q2CVkPTrEOzFiKcgM6gTqthEUJgbZLMmvIUkYnohi7dfsxaR3FuqcqVuxv88Leu85E/8ji1VEerMF0YmiiqMAwkG6c9btzT4ZrdPV4+dY5PfaPK3U+3ON+uUvcUDRfqjsXVFkeBlkk6X4jR6joDWJMsutgIYgtRLBL/PBYEcZIkGsSCQQyDyBJFESb0ma4MePub1/ngm7u87uqQiapDENZZa3v4gUsY6Rzcfqjxfc0gewaS+WW4/7nzSPfzc8u3x780MXdnNOjO/24YV5lo/eVlPf9SAR5HfXZva73n6Wee+dUnHr6veex8zIvbHGI/TGuqwXME1iYBkJI2cUmkwFOCaizoK5d+pFn0K/zJ43UeeKnPLff0+PFv73LF9g5zLUWzphN2iByiSOcgjzOAG4mxEmsTSWDzgDJN9avEb9c6wnMjHBXQGYQsdUL+w+cqnFic5JkDLaxxma4K5mYsMxOC6aZiuuWwYVqycTpiy2yf6dYaX33W8PQrLa7ZKphsSBo1SbNmqFcDhOPjeRqtkp9vLcSxTG70MCQygu7A0O1ZVjsOCytNbt/X47Yr1/nkPRWqqwotwwSQVhPFLkEoGfgOM60KN13W46Y9PZ58w3lOLUl+7+4Wi+s1zq54uEpSdwRuJsPS5FlO5JlUIWHyyAoiA6ER+DEMIwiMhTiCKEQqn82TA67ZkdyPm6+IaVY1UVSn3fXwQ5coBXayw2qCKLUjA4UfJuSjJezcYviezYYdGwfce+9D01suq//qlVfdsOYPB1/4y8TkXxrAH3niEC+bOaWe/Pie+bPHmhtbbdbWq5w4bah5BkcLlBQ4ymIdgRTJxdbpe25kqcSCmhIMtKCvPQaxw0pQ5e6nJ3jklQF1z+fvvqPNtumIHZsH3H5VFy2SFjEhErmSZCWTWmlrS8yNRUiLEolnbolARrx8QvLUQc2Xnmjw8ukGQVSjoRWzVctU3TJZs4kP3tRMTWimW4KNUxGbZwdsml3jgZd8fvNLc2xqaWab0KwrmnVBoxZR9XweOawYBhqnnoDKWkEQSSpacf3eAY+/2EoKnwYx6x2H5XWPC8uT/PA7L3B2eYXHn5vFkYAIMZADyA8kvYFmslGh1axz294+b7imz3e+cYmDZwxffqLCEwerHD5eJxIa31f0Q4USMi9/gCzwTHMC1hAZizUGR8RMuAEVQm67oceuTUO2zoR8+G0+VVdSrzoEQS2VIg5RpFLCUYXXHqk0RlKpu6WITTJHZq5iqVcbrHUVzx5s840X721eefjMnh//ge9Wg/VDcbW1768PwB959mUmZqbc5YNPfv8zr9hf/uI3zhEFipbn0qqL1K1ImUOLtCJQIKVFxRYdgyMFrrF4cQp0nbJI7DCIHfpxhW435pc+OYmNQjbMDrly+5DpiYj3v2nA9rmAMBSp3pZQYm7Sny+lQUjBZ++v8sKxOkJrTp2vce5CjUpVMeEJWnVLs2JoVqBRFUzUFM2GYrKhmW7BTCtiw/SQLXMdYrvOZx9qMujVuXyrpVlTNGqSRtXQqEQ4TsBXH6/g9yXOXNItmkmUelXx9lsGPPisoedLeoOYTl+z3tUsrNS4YleD97+uwzMv1zi12kBJA4SpXnYI44QRh4GkN9S0ey6Nao161eeKrUNu3TfkzGKbk/PraCfm+eOaz3yjhlBJ4RpCjt5EawAD1hIGMTs2RHzwTQNmmjH7dlg2TEMcOfhBgyhyWOs4RKEijIsdNAzT10ilAX8SGwV5fFTERX5qDggMr79hndCuMLNxxy8fOfhof8+emY8tnH0y2Lj1lr8eAD909DTq5IW9w/a5Xzt+6FmJX0NZgxLg6kL4GQsytkiZgVug06BGK4sTJxrQM5ZKbIliQWAsQSzwjcSPJYFxCA0s9Zp84wWDJeaPnwgRIk5ukk1uEqRmSbq6kopEiVSKKNRIo3G0pOHBrllL3Ul2mpoHNU9Qr0oa1UQOTTQkk02YnoiYnfTZPNslZo3/8N8rPPziHJdNw2QtZe+apFGNqFUD6rUB1WoNT0mUTDU4iRwIQ4fhQDDwY7q+ojc0dAcmaZmru5y9MMFrr/T5sQ9c4Fc+ozm97iGEwdoQE1vCyCEIJUM/KWNtDDT1ikutWqHm1ah4IY1qwI2XB7hOyM2XR3z4zX20itIkkEEIOyrKU0lnjEQIiecoIKkPWlnTSd1OnMU86TOSeQwURpI4LV4L4yLojyKRJJfy2Cj5OUKAqwExhTJw7zeel3e+Xvxazd30ULfnv/SXgc3/1wB/5dmPs2muXX38ufn3PXHqnGhUHa7YAQM/JjbZVStsKSMFkbF55jBSScSu46T3Mcoi+jj5e3lkbxJ9mDwFgZFEVhIbTWg84vTfLz/yLKUALRLt5yioVC0VbamoGM8BT0PFtVQ9QdWV1KqSWkUnAK8LWg3DVDNiuuUzN9Vj89wKv/klwx/cvYFtLcVMw9CsKxo1Rb0GtWpMoxoyv2I4Nu9RcZN4A7JKP8Ew0OzaaNg4M6QzdBkMbcrikvWuplGt0Ki1+PCbFzk+v8BvfWELWmoshtjERMYSRho/UAyCpCiqX5HUhpqq51D1YtrdJMZwnThJmDkxWiaNElIm6XyRPpPbJACRglzQNmmVpUnimjiWGCOJTBHvJMDNAvzs6/S1BOwM3HEMcSk2GqBYaSv6Q0F/GPLQoy+LF4/33+e1dhz7zx/9g8GP/b3v/uYC/LGXZtz+cO2fDnqn/ult+9flyfMtXFfR7SuCwKSAtZj0GauEuWOV+K7aJADPPOvErkr+LM6ybiYp/8zT7GmlXLJoRB4olTU3kGbyMq1v0DLdKRQ4SuBom/jGWlDxJBVXUvUU1YqiUZU0apaJekyrETHV9JmZ7LN9wwpPHPb55P2bmax4bGgYmjWRgLsqqVcM9UpEo+bzxCF4/mCNPbM21b1F2nzgK27eZ7l8+4AnX2rR9y2DYUxvoFOQO9QqVaqVFh96/SrPH17k8QMbwSqMSdyoKLJEoc3rSQa+pja0VCuKimvwXAfPjfG0QesYRyclxkqZtOYnKQ1GWEoFyqXgPCkhNpkjZTL7tWTFZsA2KYhzoCf3KnkvBXmpTCK/33GSIe31I1baMY8c8OUH/86Jf3XTjobbqE39HBB80wAehX05GAx/+rc//gf/8K4HVtzwlpirtwcEUQUQDLXKO2Vik9SCGGOJ0z7CWCXv69imF85i0gsT59nHZMWbFOQmzcRlyQprLaXM+8iOm6Wqs4SOkmnGUlEq2kqyf56rqHiKqieoVQWNqqVZi5moR7QaPtMTAzbPrvH4oQE//fENnD7bYveMoVWDZlVRryrqFahXYqqVENcZ0h5alFQ4KpFl2SO58ZIwcmlWQ/qRoZ/WWfeHMd2+pF1V1LoeFa/Bzo0h/+b72/zrT0geO7AhLUwzxLEhiiOCyBCEimGgGHiSqq+ouBLPtXiuwtMGx0n8fq1sAnCVAFylMkUIO9qgm6b2bUoiNq1liVPAx6Z4TYhJpq8poE3xdZyDfRTYYZo99QNDtx9xYTXmlqu6bGl03aPH1//J2975rU670/sXE836Xzid/xcGuD/sEkXRz504/MBPVMzZyjU7phgOkvNlXCfZ7hO/OduibLrqLSYDfMrURtmcpROmJwd34tGCNTbpIk9LQMtPxgCeB7UZuNPPoVRil+m0Fc3REs9NBgBVvGQkQ9Wz1CuGRi2mWQuZaARMNQdsnl3n8YN9/vXHZjh0eoodU4nD0qhK6jWZsHfVUqvE1CohYRzw+/c0kErhSIsShU1obLaVO3zPW9f42tMB3cCjnwK8N1B0e4q2p6m4Hp7TZN+2iJ/9gRX+5ccEj760AWMlsUnS6mGUFJr5gcGvJOWunieoOALPTTKbrrZ5xlYrg1SJTJTCJo0SGcCLlCeQkghJLiFxW9JAPgNwqqlNnlwjvc/kO248tkPHMXmNUBgmpbdBaHC1pa7rHD3lcXrhdGVo7//f3/ut3yJW17r/bGqy8VcL8BMnXwbMbVHnG9U9W/u0GjWiyGUQJHrTdWweSKgoAVisRAHqHNwFsMsMbUzRfpUAPfHPTQbq7MKPfa4M4FkNRpbJy9hb66zuROI4MqnfcAUVL5l5UvNi6tUE3M16QKs5YLbV5omDfX76o1O8fGqGrZOC6XpJmlQ09UpSv1KtRFS9AMfxObcyiaMESprUliuCzDiWRJFi06QlikI6YSXtlDEMhjHdoaTaV1RcB9ep4OgJ9m+N+Nm/t8RP/Q48/socsZEJSGJLGMUpkxt8z1AJJENX5RLMccDRpFWaMskFSFKZAiJ9vQTGE7lCmhRC5MkhkyaHsmxxHJeSRqV6lwLYRU1QUvNi88VpLVRcwfGzkiiKmF/zObb8RPXmGzbdJpX8s+D4lwvw//Kxu3jhcKX2hbs+4e7edJ533DykXptmabVBd6ARQqCVxejkYkmRsGe+uqVIAK3JwV6AuSxDij+zmRzJvn6VzyZFUUQlJUgpcnArKdNGiUyeQMUBzzVUK5aql+jnWjWkWQto1QfMTLZ5+siQf/nbk7x4apbNLcVs3TBRFTQqklpFUasKqpVkcSSp/oDHDwh6Q5eKIl1kyWLPmhBiIwgjTb2iuP2qLk+83KQfJjJl4Mf0B4qup/Bcheu4qX5uccU2wy/80CI/+Rvw6IE5QiMJjUmbpYseTN+VeK5J2Nsp6ui1yp6kMqWQcTLN8l4K5JlRYDOAp4CPc+eF0Z03k5bxKIHFeXyV1r5EmYRNTIJez7LQsYRiwOv2r9Oe/0P35hu/t7Zw7I/7Gy/7X/7HA3zYPYpX39L6xB9+8deDvvf6L9w3xWMvDnjLjYard2S11RYjE8YQqd+db1USYp1taWCUuDRrlwBtcmAXTcGk2ju/GSIpKEo68EVeZKRygCdtb45OPpfrkHQCuWmBlRdTTeVFo+oz0Rgw2ejw3FGff/nbkzx/co6NLc1szTBRhXpFUK8qalVFLWfvmIoX0agNeeB5l/V2hcnJIk2eAcak2jSMFXPTijdf1+OBp0zSRZPOgElALqk4koqjcbSL1lWkNFyxzfLzP7TIT/6G5dFDc4RGE6YVgEnZa8LkXijz6kJXS7ROi7CkQOns2pB/vmwRZlJFZFVpFAmh8acpvRpTes133tJubW1JoqbVnin4bdrwHcXw+ut6vOkmn7mJGr1e/fXPvXL0d2rbP/QjT790cv2mq3f+jwV4r30Ov7/4k9tbR79jz8YOTbfCMPQY9BUr7aLWQyubS4UkqIRYZatcYFSx0pMJTZkMIWfvkUBynLlTpGcZuVx7y6yCrtDdWcWgViT1GdriOEljccU1VNyYaiWiVgmpV3watSFTE22eOezzT39jhueOb2Cu5TBXi5mo2RTcKXtXJFUvYf+KF1HzAiLj0w08hJI4GYPnGlyk23haIBY61N1hUi4QVJjMQD6M6bsJg3uuTGridXYAreXqnZaP/MgF/vF/NTx6cAOh0fixIIhNyuKCSmjwHIvrJL2rOo07tEpKhJWU6fVJu/Kz11JhVr4wy7HOGLhzEioRUxncRVyVElgeg5V2bZL7NtWAqppicVlx+pzg5Hyf0Dn7HW/9lmeOhUH4U/9DGXx5cYHW9IYdD93za9dEw9Ps2+HSajrEMdSqEEZJA3ByE0Q6nMeiTHkLE0la2BTazeTbdvmCiRJTFFlJW94zM9YuB5XZdpv67CoNprROO4PSIqSserDixKluDqlWfCabfSbqXR4/EPHPfnOGZ49vYHZCM1uNmahYGim4q5XETszAXfViKm5Esx5w4KTl/mfquFLiKJMGcYVHkQXOYayIjObOG0P27O5x7HSV2RpJn2OQdK73hykLa4XWTtrxlHjXV+2AX/j7y/zUbxgeenmWYVhNkmGRpZbWcHsOCch1tnuZvLdVqjjf4ZQUJYCLEsi5SK8UILejAM8rFIud91I7cw72TIam/4YQoLVgtQ0vH4PYGOZXDN3wDFtfevKaf/zjP7zj1Klzp3bs+PMfd/jnBvhzBxY4uzq18/z8g/++21t5TzTwaTU1QsaEkUhZ0uTMDckHVzaLuG0KZpuDurylFXZUKXIvuyQXuSUpc4+DW1ikymzBBAxapaytLa42OI7BcwyemzRXVLyAWsVnaqLPWrfPgy/BL/zhRl44OsNMCu5W1dKoCuoVkXvlifNiEvZ2E4BXPZ8gjhkOKlRUssikKG39ZJpVpIGmTrS89vEDyyAUJYAbXDfGdTSOI5OpAtLJAY6Aa3cJfuFH1vilP4p49OA059tNhnVJK7Y0IkslnTjgOTb1/jMnxebsnUmVDOD5500/dBnnuUJMb4rN71Wp/LYkKZNqTsYAnr7aLPFs06xzcp87NqI3iAljS69vCc2A9bXl9zz6xAPxHbfe8L/b6PRJobf/5QL8/NlTeN7SrQdeOfi+o0de4o031GjWQqSwhLFMV6DNGdVmAckIoEUJ5Nl2bdMLIEoX5mKAZ5e4rAqzm5CMe8jY2+bd+MVwoKQs1tEmHTMR5+D23BTcUz2W1gb8/O/X+MJjsyz3JpmdkMxWUnBXEt1dSwPLqiepeTZl8ER7V7wACLjvOZe10GXaY6QeGzG6Q8Vx0vzQ9DRvuqHP44cCuqHHRN6xbnD9pFbd1QnAtbIo6SBkkqDBwv5tkl/58Q5ffnzAz310A2eXJxm0NC1X0IgMtQi8MBm97KpkoJGTBZpS5EFw9loO1MsLU4i8VyS/PzAmIe0oK+d15znQ7Ripjd5jIZIOfUsSfHYGgnrDIqPn8dc3vm9tcfr3h4P+yb9UBh8MBlQqlcsfffSxf/DSy8fpdKcx1qdWSYp/oljmkiJjKEshLWwZ4CNMLfJ6bYstbKhx1i7LkvRCZ8ySpZszF0BlAFdJKa5Os3eOTuaduE6M60RU3BDPDWlUB2jd54HnY37nK02+9PAcgWky1xTMVBJZkliAmU+u0qdImbvM3iFa+zzySot+oNlUyz7POIOngaZJKuwqjuK2KwZEJgH4IBTpnJHE2x76STVmYnGqFIhJ9jGd1shMS/Adb+zR8M7z0a8MePCVaRbCKv2KpBlZ6tomINdpHKJsGpfYFOTZNRRF7bgEScHi4ycK5lIlG1EBY9q83D3EKNAzGTNGZNm/aWxSltH3oTGh2DLb4vjRY0zOXvUPrr/hjmf7g8GRWrX6/x7gp06d4f/+xJepVFqbGxx+w53XXcCYOhNVCzaiVonytG2W2i00dJH2LQAu8hs8orXJgM7IQsl/67J9JeyYNMmycqQjJ8gnX2XM7aikFsNzQlw3pOIE1GpDXLfPH96t+cXfnePY0hSOV2FjQzDlxTQ9S92DetphX/WSbGclTQgl9StxuhMk8mS5E9MLXFylcKXNA0xKv0q2sLPajSByqDpDNrYGrPcbDEKRjltLYgXHiVObT6V2p0oAPhK4JpWP73ldj5uvXOIXfm/IH3x1ltWoTt9zqDuSpk5qcDwNriJvhtBZ0iefQyPyLHB5Vy7kSlmslIHOJXfgHNzmYsAX/nr57xaJIgT0OpJ7HnPoDFaY2/rEG667fH7zYG39yIWF82zYuPn/HcDj2PAT3/mWnV976KXf/L3PPMvfe+cyV2zr0x/qpNMkq01Ii3KK2oUSuE3B1GXgjwSSFF9jxSV9boEt2ERmgzhLAJcWJZPJswVzxynII1ydSBLP9fGcAScvRPzWl+t8/qFpjl+YpFlzmKrApBfT8Gyaes/ALVNwyzwpVEm1t+cmC6dZ9/ncI5ojp6pU0glcebsYBcptabHHsSSMNPt3wLtu7vI7d03Tq2maYTJ7xAvSuEEZtJbp2DpKIHdKlJrci+0zkn/23X2u2XWW3/jSFMcXJliNqvQdTV0JainQXWmThZO6TPnul13XzD4k0edFptNe7JNnxGSLvs9kMV/CVjQlkFMiQFsuy0jS/cZCLxAcXbbs3tpHhE+zuHrDb8rq299h49U/U6r8qQC3dgBUeP75Z7aeP334sqMn4Fc+4/Gvv3eZq3a6dAceYaTTEsq0kyYDegnMpgT0zAe2ZYbP2LpkAyYsntG2HdGBGbCTV1u4NdKkrknG3jGOjpLOHR3heT6u9unGAb/2aZePfnkj51ZaGFVlakIx5VomXEMtZe5anr6XaZ1KKk1S7zwHt5tkL/0w4MhZj17gMemlLk6WdMpciQwEtlSTEmqadc2urQHKG9INGgxcQTVMxqK5qbxyUomiM9dDqFcJXhWzE31++D193nfnAh/9coff+uw0y4M6A12hohU1LagqixfZhM1lIlW0LMobsiznRUzOJeTKuMPCKJMXQBcjcmXkmbXNpRWjviHp3B9artuzyk9+1xpNPckLLx29bMPWxtZrr73x5FonYLLp/sUAfuHCEq7XmJ1o8OkJ/Yhz3X7BJ+6pcdO+dW7av47WVXqDSto2pomNuojJi4o0eQnmFjmQLa/O3HkhZ3ahU2CPyBOZVsmpOAG4jtEqxnVCKm6A6wS0hwGPvCD5w7ubfPahaYZxA9d1mXYFLddQdy01z1JzC3BXPInnSbxUmiSJodSZSAHuOknm88S85cGnawShg1e3FwWY2SO/mem1CkKF42jefHOXT369x6GzdQaVZDSD71jcCJzQ4AQGpWTiW0uBFLIY7lNiwthIIiOpeZoNrQH/+EN9rtju8wd3N3jqwARLgzpD5eI4mooWVCV42YClzF7NrF5BCeSjNSvjxVllRs9Ji1E5cnFiKE3326TOJTIQGMEwhn4MfhDimg4feO0F3npTzCe+OM29zz3j/J8/duOne/316/q93tJfmMGVnpSvHDx669e+/tDE3Y8ZTq8KHLfCJ++bZf/2gA+9sUejZhj6Lko5xLFOyiWtvASLj2ryciCa1yKXGHyk8Cfp0UmYPE8pm7zcM9HdFq3iBOAqzuWI1iHtXsjDLwk+fleTu59JzpmR1QqNqqLlWJquoeZYaq6l6pKydsLcVU9ScRUVV1BxSSv0TApug+ck+ltpn8Nn4Vy7kiRWUn07mjgp6mcMBcgjIwkCzYam4PJtA148HdEPHfx0xrcbkIBPZZN1s0QNyLHOnLJbFceSME7qwz/45gFvu2WNe5/t8omvNnnqQJOVbo22dOm5GlcJXCnwJEkPp0xOqVOiWKRKpGW/l2Dwi+pXxpk8Y29GWdumAI9s2gtqYGiShJUJAyqiw3e+ZZkPvCGiP6zy+hva7NgUs3r2gYn1aXnrlm177uJPGR70pwJ8aXnec7X5r0Fvob69VUNGBm0Ep1da/KvfCdm96QxvuLafAFCadIKUTGuHZc7kIwA3mQ4Vue4uLsj4VStLEztSoC/zGYYmfY2TgfiZmyFDlroRDzyt+crDDb7w4ASLnTqiUsFpODQ1TDhJJ0/VIZUdUHVF+pRpyWmqu12Bl7F3BnAd4boRFTfA2pD7nvE4NV9lZkrgSJPqWFE0+pbYLi8/TSXFwHfYsUHw5hv6fP6xgF7oMAgFFSfpV3XTyVLFLqVyvxohR2RK8pRFo4JJ/Paq5/PBNw74lptX+OOHunz54RoPvNBgsV1jIFwGrkY7Ci0EjhQ4UuIIm0oti0KUpOGofXgJMs8Bng5SKBw0Cr0dW5GCGwIrkmm4JoY4gLDPHdev8zM/0KdZaXF2cYoLKw3mFyus9y/Ud++N/uuFhXNXAIO/EMBfPnQYE3W5cvcCW6ebPPGKIIgilgPJucUaf3RPnev3rtFwfSCRCbFSxEal8kTmr8m2JEdvQgpqW7ZJ0itT3gZFCdhCmNQONIgU4FrHuDqkUgkZ+jGHzsHJ84pP3TPBXU81WVyrg1NBNx1qStJwLA1tqDqWqgMVJwF3xUlmEiZlprL0FOmf2xTkJge56yTtacfOG1484YHjpNu8LaXoxQgKyro0zhsCknHOV+/yuXJrj4Pnagwqglok8EKLr0itPZOyd+amZBZkoVVynz01AIxRqYx0GAYO1arP973d5923r/O1p3v8t6/XOHm+wsFzNYJ1j8jTDLVGqmSqrwJ0+poxeS5dKIL/i5i8LEsoGlPiTEqR6G1DlsY3YCMwIYQ+09U+3/3WLptnJGcXKqy1axw9XePxV2C5s8i+K15hsvWnnx7xqgA/dHxe9PqDf/BL//WjM1tneuzZINgyW+PZ45J+N4kEHnrBY30Ik7UAY23SBmUUyqiS5pYleZI6t3ZMc5cDSopMaKH5kqRGIklMespDjOclk1SjOGZhBe75hubY2Sr3P1Hl3FqVY+fr4HmomqaiFXVtqWuTuAhOMji/4iTj2hIQZ0+ZPlUKcFLNnYLbifGchL2ThRVwYgkOnKzhyFF7MJcolBJguZuQOikm7WuMHK7cMeDyuT4vHY/oRw6NUOBrcKNkJqAqAVxKgZByhMkLpiyVsZqs/jxtCo4dfMelWQ34nrf6vO6aDufWOtz3pMvxMx5fe6bG+ZUK8cDBSE3oKoSUyU6RduVL0own5LIlI6RxZ6UccBa+t03dliydacDGYCKwIcQhk9WQ113ro7XDZCPgwnLMmSXB0HS4fv8SDfX4zDVX/eg/6K2f/ki9tf2S4durAnz9/N0EYfwdUW+1/sx8C7+j2LURrt/foTXd4eQ5A8RYB5QT4WW9grFKQS2LV1MCti0kSrbmxxzVUsResHYuRVSM4yVp3ONnBC8eV9zzRI2XTri8cqJKx/fwAw8cF9V08JSgpqCmDdWSD+zprE4jK5tN6sK9VJa4rsJ1ZboAbKG9nTjJLDqJzq+4IdYEXFiV+NZDa4krLbpks40ReA7y2I72OwaRg0AzOxUg1ZBe6NDXInE6wqJgTCszkoGUmUkNkA07QmCNLJi8NBjJiVU+fqLvu2ycDNi+IeTG3T6DYMDfPdHmpZMu9zxe4cUTFY6frhBGyZQmKxUISSxL2aCcvi+hVS6i9JKNhCnAjUlqa22czmGJEVGytx87H3H0TI/jZ7ssrTe4ZpfLVbumOHM+qB/4wpPfYVEf+X/E4Pc98AW6fleF7SPi9is8ur0KjRrs3jrkTbf0aE4ucnox4vEXXZ59yWH6huQDu05EpRaln1+CkURhAvQskBxh8LIsSVP9pPNLHG1BGIS0hEFyTqYQcPKs5I/u9uiHiudeqXD0jMdyz8WPXdAuKAfVVLhSUFVQU5aKIhlnptLCI5WwtuuIJOlRBrcjcVNZ4rnguaSuSZIyd7TBdaI0IxpSrQQsrsXc82iDdtdjckKgpclLBjIcjD8y4soDQiPxfcXMtOJttw/52lMDTrfrDByZyBQNTmRxwsyzTj12GSd2IeVZJzL/Gcbq0s9IgO7GilgrIicd+xA6iZXqhNTdkNddHXHbFT7vfcOQw2ckzx9wGASKP7inxokFB4SkP9DEgcrKN7E6A/iYZVRO344AHMAgIouIDTYFe7UW41RihDVcf3XAx75U4/EXPU7Nt6jVJ9g9E6GsZm2tSadvidwT4h137lYPPvi56PWvf9+fD+CxAWTj15S8cO2tV/oMhlWEtEw1h8xNxsxOCXZuCzi3pPhXv9riX6gEnDfsDfngW4ZJQXsMsxPJh6xX0kVqRb6FXXzPRT6cp90XPP+CZqUjqVYkTxxw+OJDFYahYhgq5hdcjNCE1sEIB7RGeBotJa4SVKSlkgLbUxZP2aQGXKeery6Y2836MnNwq7RHU+Ts7ToG180KtOKcvV03RKmAbzyr+PxjDZSrE7ttRH+/OoNnXngcZ46HYjh0ePcdA77wSIc/uG+CXlShnupwJ9PhYZaUsXm3kBAyB1jyo2RJ65cAbhImj3TC5I5WRFqjozgBuopRKhmkP1mJuGNfxO37Qqzwef8b+wzDZJzbnzzk8eQBl6onWO4onn/JpdOXqUoSl7zDRRIgkSj1iuH660JmWnFSLx5bPviWAddfHiKkxSrBz/5Gk4eerhFXqkyEHtpa+oMQIQTrQ8Nl2xev3TR79a8h+OE/F4MPB2t4lVbzE3/02X1PPW3UVXvWeefNbfzATQuT+lgZ8ZUHPP7tbzV5+ZSX38nDpyxf/EYzqTKLLROThluvDWhUk5rfscqpiwBO6jqs9xRPvejSaSuklslMFKsTZhKaZC6wBqmRUuJIkYBZWjxpcGUCBFeBq4oZfQnIRdHwoJNGgKzxuAzuhOHTslonY/C49IzwdIi1AeeWXQK/gjchcdO0t0qr8kaymCK/vyNlDXl3ulEEocNkQ7FtJsAVQwaRxyASVHUyBDOrIckSWkqWy1tl/rOSnyHT5I8psqfGpKUVhTSKojjNG6i0IjQijGJUmOQStIqRMmLrjEl3DMMV24cEdoDUhnZb8NSLmvW+ROWKZTSoHrnTNml+qFcst10bMjFpsFHy39QUaEFqCVv++Q926PQdvvJEla4fcaarWR1K/CjmLTd1+JYb6qruhfuuufkDzfVOp9Nqjk6pvQjg7fVVZLfzkbnq6TdumvCYrmpmJ5exViJlSGADvvCI5Kd/vcXLJ6tJ9Y4QgCQC2unWg4TOumX+G/XSr3jpBHzyUmxvVghMNjiFtOZUqCLIkTK1sjJQp2lnSXpwa+Ybl1512kmvSI/eIwd30talcFNwu5q8xDRh8JTFtcFNs6OOE+J5IWeWDb/3tTpoN5nOJUsJnhHwjRJZxq7ZkNAEbMlgnSB0+PDbBvzxAwNeudCgFzvUouRQ2qQK0BadOCrLCZSDvax0MZNCslTglT1NXgujtcKJk3kpTgp0JYukWVI3nn4tTDo4KEYLi7AxMzXD33mtARGnMhMoHdx7MZGL4tUoTKjTyyKII0GULlEpYq7ZEfMLP75C9b9a7nrSsNqpsiIcHGvpDzxePuRwoX3+jVMbz3wkiuP/9c9k8BOHvwxCuCI+zltuXWbTbJ/njsYMggA/grufrPOpexucXaokE3OkStmpFGzYwnePnRK4L/pdS3c+XST5e+m/J6TMW9CUAEckaWVPZIM7k++1JK2pSLvHs0IiTWkOCunJbEVXfQFwmcsWz7V5S5vrmtLgnAgnZW9Xh0gZcGpBsNSpILTGk4zIkzw9X7LQskRPOaNb1sdRnMz4m2767Ng44OCCzyDWDGPwYoETW5wo1eERubNUXEY10qlQVOfJYp5M/vMEcWzQsSFWEqWz48tVWqwWp+ckFU8hDSoFuch+NmbMyrU50DMH7FIAz+OwPBdSsED2b0RxzBVbIn75J9a4/b4h9zxRZRBpOn6Fhw+0ON4IuLpzhj/87JddYy5eTBcB/OlXDiCF4MT5VXoDH6Tii4/McWYpCS4CX2OsAi9j1Wz7LeuuvByQP/MhRLKtZlt5bkFlnmsKapE4E1ravMYj+zp/LyX7ohSUvMHWVSIB+wi4ZfLqZkDPgs8U3Fn3jza5RHF0ok9dNyQi5MuPVLmwVMWZULjlGo6ygwKjinSk+EiMBYGKoZ9MsH3na3o88sKQTlShrzXVyBCk6fTimMWi0UMIQ9E5VM45lK3DdKaKJZ1yINBGECmBjmV6il1SyxOlQC+SaSZPsElpSok3M5KEK6zdkkcmSrgY1+d2FNxlq1iKZGLA3GTM//Zeww+8s4MUltNLDn/yyIDQeBg7IBwaLrVbjAD88UfuZXKi+tp//9EHbn7gactqr0HXl0RIkEnmSVYSbZkEiuKSDsGf55ELkixZIEBlr8KiSbRYNmZZiWy+SaFxVQZsmZwnn41CKAM7n4OiSPoRLwXwLODMdLfOZIlN9fZoLbnrhLhOwELb8MzRKmgXncoTXSpQyrJ9YgzhWSNIzuR5X6rMPfEwdLhhj890a0B7rUY/UtQUOFHyu6g4GVyqwjLASUCe/yA5Vqkp0r7JtIxCGWIjcIwgVpJYGWIliFKQl4vXsnIImYE8A3VpQpYgYfWipDmDbVEFeglF/qcrV5J/Z+iT/CySMc9zE4q/9zZNb+Cy3nPohLM3R9W3vvaer7/34W95y52XBvj51QEX2tHf2bc9vl4HcH7FZX41Yqlr6YcSP50NmA/6svaioeqvprbzBVxitLyAimIwTsHeaR2E4KISTi1HgZ+VeiZtc1mnSiJLVN69UgA7a75N2DvV3Jpcb2eWYMLYBbidvDoxRBDypYc8HnmpgfQ0rhTJ/O28grBooyuu0Xg2My1Ey1lcpgVrisHQ4farBrzrdV1+60sNgtijF0sqscWPSHeuctWfSeWcGVtQr8bkYLTMWwkzcMdKopRJGF3KdLSEKZUiFzVAQpaqOcfYO2s+BwpdPgL0ix/jST9RkjZ54ZZJsr4D32W1XeP8UpVjZyNmZqPrX/uahb8ThtHD5X8zB3h3/Rz1ev1t99x373dPVJZ53Q2S4+cM9z9jGQagREzFlLrfKbJTI5+w7BSMLsb0Q4/WMIh0O8pYPO+tpCjXzAp+RInFkyNIsu9JGZy8DWuExdNuGEeNgjsZpzDG3GnPppu2tzk6aziISs+QgJD/dl+T2HqoPHtZDjCLvsbM2RjR4Iy16xmZjNKIs2BTI3D44Jv6/P6XfdZNyCCuMIgFTkTO4lJaZCTyorPELhyvPZKMFDyVy1N1NjMyBblOmsR1LNM5kkkFY5I9lnlpci5VRqo7izLmrGdUYEu7vM3v+6XQPUqKJTLId6FSWUPg0O1rnjwAR07B5g3LbNs5/O5bbn37/cdOnP/aZbs2jwJ8rTskiNWe5fWVy148doZWQxFi6fgthEgTDeWhl4x69nnR1KsEzuWPXI4rc2DnqfnRAC3X4mOaM3MRyrM9lBKFFk8r7kaG3aTA1koUTkpuByYd90ljsk2ZuwgwdYm9PSfgmaOSI+crWOWgpMSVBj1ep1ES4OMuSvY0+dAcUfKrE5CHkcNlm0Ou3N3jscNVQuUyiAQVCU5s0ZFIiqBE2oUTpTqcZO72eHXPeLlyuem7cFeSepcE3Gk7m7IlcGe1QMkJ1HnhWyaPcoAXAaYsAfzPI2nz8NSSJwVt+fqk7zXqfar1HtdcYdEiAHvFZY7u74mdwdcuYvAz5zo06hEvHYm46xEP32qEdGloiadB6XKRenna1BjAL+Ls8iV+FRYf06sZuFVe813YbhmbKyGS7nlRgDsJMkXeLa5zcMsRgJeH/yTd9uTAzrOVOXPHuDpJ7CRdQSGWkM/cV2NlpYrwdOK7lxfheA1KeYWXmwDMKKuOeNNGEYaamSnJB97c5ZmjTfy4Ql+5VONEi2flrEqSgjvbK0zqiWfVHwmL59nk7Gem8x7LU6mSp0SZbEey+dcJkOWIFs8GPSWglnmN/ijIi6K5Yid/lcr/UilHUWqbVKHGpZomSHz073yLRauItY6i0orwe6uYuCguzAF+8uAfI5Vke7PD22+d4OBJy3rP5jctA2+5UL3cS0f59RIUXr7JWbKr0OCMrPxxkBSTl4qm2PLMwRzgOYtnckWi9CjAXZ0OAHKyowPTDKe2OHkq3qRfxyNPrZLOnVdOwafvbuBLFyVVmr0cXYjjGczxJZ+r0ozFS26KSRk8ijVerPnAW4d8/K4+LxyvEiqHvpS4sUndI4GMben62KS9TJRFokl/1ui5RWUmjw3o3EJMJv6qtCRAxbYY1plOpBVZo7KA6CIdzuhrfr9HGfxSGrvAUakTLPXyixk6yd8NI8XQd1nraF44KljqnKFS/xy2ZFPr5B88BWyv/fv/8qu75s+fYWXQx9g6rVoR9160pY1Mniq2kjLQi19kDOhjv/i4/h5/zSZVlefoZfJElhg7CzKzqU1aZ4e8ptpbjYE7S987WWOySWaG5C1iWU9nlD5DlBNw5JymG7igdCpP7Fh57PjCHUX46ECjMS887cYpEj+auiPYt2XIC0cCYuMxMC6VOKnZ1qkGVyIZRZwklrLd0pAFmQWTZ+XLGXBA54NNk/eUSaaRaUPaQWSRppgQkE3XirPu/rEWwiSNYZEZoMeYPAPCeP+WLfvjY83rcb74yRvcMydPyoCpqTW82pD9ezbvuuWdP177wPt/oH/LdZsSgB87tkC1uv7WKy6b+clnnpGcWWgkLVtucnOSuuXypNDyAPoM0HakBvgi9i4x2ej8uwLIjDC3GGHwIsgsD9XMQE5RI61KoFajpxg7itQLT8CdALgYCuSU5UmZvVXa1+kGrHYN//m/N1gZVBCek8gTaUd2lWJwzqs7BjnQSfSlzebE5AyeOCpRpGnWND/6bV3ufabJiu8SSM1ASty0h7IY+ZAyeFrXQ6qLszJai0nBbbCUWwgTIOl0nEMWpGdgV1KkDJ5Iojh3T1KAZ2OYSwHmxR35dkSyWUokl5FoBuwMR6VpDHEpOZX0/yZgR0Ddc9izaZLj5yCwcz+5cPTlh+Nw8Mc5g3/pG4fxPJdDR86x2rZsnXFwnQQ4xth8UHkUWSKZHC8i8+GKo27Kq+V2xBjAy1Kl0N+iYO8SG5alSdYhkwNbCqQqxo+pEqi1lOhUkugc4JnmNnlQ6WiTg9vRWf3FKHs7KsR1Az51n8PLx6ogHaSUeFlprChusiwtWMSlcwUXj1YYG46UMnkYa6LI4erL+rzndR0+flcFoz0G0sWTIk/6KCkI84DuYiYXZSYfmVtTGuWhkklkWiZsrgz5bMeE1QXFWIliFk02X1ymh4sJOSpPZInFy+PgLtWBm7cuXgLgyWnWyYnWQXpke2wE61JRcVxq3joNfYyoAzbyC4ly7U6N62omrKIRKSxecpRIBEFoGPgxw8AQ5PZTcgGNTMt5KZ2PU/7MI3pLpCWxyV+SpRs/XnVXBJYZ4EUuS/5sgMsC4KpUQ63TuhSHXIo4qnBLnNJwoEJzJ+zt6GRq1Vrb8CffaLDc9qCSuieiFIy9ikQhqxEp7mIB8nHbLrMMjcTEmZuimWwqvvWNfb7wyJCVnkegNINYpvakSN0bUTRjy/HESsLe2VsmZ/OiN1JnMlSlX8v0e5kMTs2uexnkIj1QrDzyTV6kwzOwi/z+55nrElQKkiwFmOk1yY5BCULJMBAMfMnAhyBIjh63BnoDl51Bk522SRAknfb6hZeOMjk5tfOppx//sWcPnmXbTMTsRHLy7sAXdPsK2RNYG+WTQG1644wBI5IPIkdqCkalyUXuySWGZpYlSQ7qlMmVIJ+bl3eUl2Z/lztckuHujII7O9kgY25VYu6LGDwbN1GMnNAqyVyeOCk4fKqCwUNInTfnFtWDoxKrcDWKLaxci1IwuSjJE5E7GXm7WazBavbvCLhs05CVg1Vs7CYsnh6sqksuzjigclDZRJMXciBlc1v45EYWcyPLsY0yyaIxklR7Z/elIKNCoogRuVLkA9LAsrTgy/J1ZGxIBnSTNobEBYP7gaCbHoHe7UcMfUO7B63mAE8c47Kte3/s6qve+NzywuGTerYVUK30N26di94211hj66zDTGtAq6GSc8XXHaJY0h8knyQ74xJhk1KUUg37qz3KvneZ1crW4AjI5agOlzlzjwI7f1Wko4DLPnj5mR5prcrgLoE8Pa/eSUtDM/ZW6fdahygV8uXHGhxZroJbyBOnZF2OLNjS1vxqj/F5IblkKJ9ulpXRBprdMwHvvL3Pk6/UwDhEcaLFnTjN7sajUikDWzHRMbMNZTpWbXRujbXprmwFVqa7isyeybWP0x1DipTVTbbD2pyYCg0uRlmcgtULXIwlf0qFVyNzHG2hFmKbnA69uBKy1o3pDS3dIfimwhMv9Nmym7e1Nvgbu117Up9bBs+DpU5Ao7nEzKRi25xBSYdB4HDwZJWDpxoMfUOcjt7K9XK2Iu2rKJN0eY4HlKMOQ8Hm4wFaBmhxCWDnbK5EqQm3BO50PmFxbAcXA1sXA4LyEW/apCCPEnmiQqq1gMcOKf74G3UGQxdqOjmhWYxKk/HPX/6dLwlwxvT3mGVY9sXDSDPR0Lz3ziF3PdLniUMutu4wiD1cQb7QVP7zC5lQCutykJeLm5LgM11gKmHzWCZ63JRYOwvqTRpcSiNKJ0OIUqCbkFS2yLPJFuISGGCknqnY+8uGRT7xTCQ7ZtW1TNQDnj8+4OXTDv0QhDIMnRC3us5Mq8fW2Zh1L0D7oU+tpjl2zvJvP95iw2zMG67vMlEbYkzIKydhcd5hYytxJTLgylSaCMRFh+aWmbssT4r3xCjbjcgTUQouRQ6afF6eKp3eoERam1KAuwB5VjZr0boYoazTQ5i0GgW6k7N18lQqCTBdNyAMYu56tMYrp2vgOAipUlBl9TJ29MaWF/ElrkU5iMrHnJUydQnIi9EbmV0YBJortke8/TU9nj9ZxY9cYukwMAo3ZuyzZF44YwyevNqxz4LKFpvBKJGMvbZgpcAqkLbQ4/mOKkGa0ixDU5IoWe5CgDCXiEvK16QE9pHlP8LqWcxlqFUMV+zqsmP7Mi+fllgbM1GLufM6Q9MVTMyFdPtDMD569dTnGHiKWtDmxl2al05P8Edfa+GbxB2Y9CSbW5YgsOAWpwEgxm7amCUmSuw9zmYXMXeZtbPAciTALE4gKKRJySrMGTsDeDE5NZcoKXMnjG1zptb5a/G1kwaXWoV4bsBLpwRfe6RGf+BC3UGKrHKQkj14iSxm6fcs721ZLUqCrrSy8BLls8VcE5V3+zQaAW+/w+cLDwx5/rgH2mVoJG6qxZUBFWeuRvoZYlKbTiQloeWQThUMqRWFdJEJm2e7ShbkG5uAXZoi0SZM4abk99IUzD5uHlwE8EwJlME/BqgseFUqaf4WQnPTnjp3XjNIHKS4ih9UeP6oy/MPvIQfn0aJCP3ykQ5aCdrdiIbnsnPaEKbnHkLiNFTc1P4oRY9y5EOKAsBlsI/8MmJ0i7oUi2dyJA8qxxk80dvlbKZSaYVhWlGYtHOlX+vyfPAxcKdPJ5tCmxb4axUlTx3iOCGRjfnSw1UefKkKlaTBw83kiRgNLrPfP3+Wv7mURLmo3EHkTeaZoxIbOQJ0f+jwhqv7vPO1fV4+VSGKHKxQDITGick/k4gLFi8+wqWZvDzEXqnUMpQJmyffC6QRuQ7P/f6M0bPdNmXwgr3H7jFjgM+xki6+S7B6WbPnjUBWMBg6XFiZYEXXEZD3tA4G4IkeUvgIYdHX721T8QSn5w3HzihadYVWRV2CtckPL59UUJYTWcHUCKOX2Dn/0Onfh2Laqsi3dDF2QcaAPSJVymn60jM9saAAeumpi0NQM0A7JVBnzknimCSvSoW4TshzJyWfvq8BuCAdhFB5F5FK09bj2dfs9ympzDGAlfQlZeYuafDUOTAqHf2QnxOvsVbzwTcNuOfRIU8dSyYJhEbRj0Va8JWCLs6AU6oDKkuAtC4dxSjQE2JPwZQcv66kRGVBcaa9ZcrmInnNd9xcktjCMCiTXPZn5Z1+xIAoz6LMjAZLdppbFFkGNjnd2eDmFqKjYBgMODovWOrIZMdeXK2iFXR6MDshqXuJjRRFJvG+w+TAIEEW2JWALks3tAzkHPBihMmzf2PERRHlXzxlaZHo+lzbZcyRBXJlkKetacVhUzYFezYAvwD3CGuXXrPG2kyqKBXhOBFhHHH/E1VePFoFxwGZBJeusKXJseXAatTqHCXvUWjZ0hd5A0QpPT1SXRhLjEodlVjjBw5XXTbkDbcmLD6IExb3hcvQgI5FLg9knNmFqaaNS4sMmxcuXWRdSrDKIq1AWZLspxUIK7ACpBWFVBFlu7C82DP5UgL1JSRqgZGsdFrkmJHp57YjO49MjyIUDAPJMJCEUfLHnaGkUQHXkUhh0QM/QsnklIZmXdNquihpGfqWlXbEejdERCnzllh0RE6UQTrmveZ+cAnkuX015piMnhEzVn8iyM/eyU8vzppvRxoeiqNLlBoDd2kofu6eqBilSwBPJYqrQ47MCz5xVwM/dKDmpPKEvDVNlU8JzhduwUojeuUifTIK9LJMKR8OYOyltLim7km+9+19vvRgnUPnksUXG0U/VkmVYZwmfxAJI8bpWI6xnSQLN8sAl7bQ4jLV6NJYrEzukZUiAbgRRayUMblhjPzGdrYM1LIck9mc4Udqk6TFinRBXSSvBGEoWO9KVtaT416kTBrWHQecSnJB1ef/5P/aoEzz3z3+THv/VFOwdc6waSZi24aA88uG5TUKcOfVe4UtV0iI0QSMHPl7mZ6WI39XZVufTP4ssf3kiOU3/sxGJpQ97vxVF7o7cVBGwV0+q6copkpPf9Bh3szg6IBYBnz8izV+/2utxEdVFZTS1JSlqmw6joK8wdkptcYVmdRyIkpSTIZlJEAtYonCdswWrZCkjb9FL6SSFmEN2zYGnFuWPP2iSySSHlkjVCIpywHeJWKlfFex5f1FjOwq+UK0xSLIFoUdk1i51KJc5nqJZ/bflE7Us5eaF5+K7nyGZWZYkB0Rn9zrpfWYx14OWevE9AcxjrRMNxVTW27e2Nr6uq/rr9y10iLsvOPNN88zNaGpVQJqlSGfe0Tx2KEpalLTqJJactkNo5ARI/JiTFONMHtZloz/N2M1KGXWHqkDtyPaW+ZgKCSJKmlvlZ/0UDqIStkxSZJVCmbsHeLokMPnJZ+8t0YyfyVh77xzP/v5gpHxwkXzxmigKcrf5AAaA4cp14YUcwWTwDPNalqJiRWxSrV4rPnQm/t8/v4aB846IAOskAxjB40oakMEiDiFZ5wlfjKolqSTtWk7ok00ePrZZApEaUHaRLZkulva5GdYk/rjJpE3ZmR3HmXzix21soVY4MimyaNkxHYhp7KjVpr1iNuuXufIhZA/fmiCuqupeVBz1/i+b194x965qKWffiUiDkM6bZ9eGOCoiFhIHny2SdhT1KYSDZd0sRfp25yJL9LRZaYQpa1IXPT35NhFKOu3kSOm02RC+RyZQoMXRwVmJ6upMXAnE1lN+prYgUoZVOZ3qwglI1QqT2IV8cWH6xw4UmhvKWTifecdNFzyBgrGv8+5cUSDF1+PNiCPeOKliVTaiKQ2RRYp/CDUXLHH592v7XHskx5BrEBoYqEZCIGOU/suD3RtzoJlPs5D4Kwq1BYxgSKRJtbaVIunT2GLFL8AIxPgm0ymlOpyymAv7yjykgBPyj+EIE8kGZF+ltTwkKaQdjMTkh/8O0Mu39pPpJNUrK5qrt01ZNdWH/3u1wgOHnf4d7/b4tgFl0Z6ZF3ThQ1NS8UV+QlfKjsGWsqL+w5HNPboe6OMngab8uKVLcaBPcba2fdKkhfgK1kwdw50VWbyQnerLIjMjjiRBi2LoflKxThOyPF5xX/5XJOhdMgmaBVd8+kOkjdBjx6IVTJy/9RHcR4ROaCyFrYiZV/W4GKkPiU2mih28OKI//V9Pf77/TWOndegQjCaUDgMhEDF2bVN9HgebI6BPPPmLaCzBZe+J22SnrfYlLUzT9yMsLlNf46RAmGL3eOSJCiSogHxKiDPcWESnJXLsgWCQEoGvmJprc5kQ/HeO3wcJ6TiRRw4HnHwdIWXzjTRa92QlXaIjGNu2CqTDhGRaFjPEekwnPSsc1VU7uXSIrP5SAGfR8RlZ2UsuBCvAu4SsMUYa+cNyClrZ1ktVWLxMoPrEX87BXPO5PHoUyYs7uiATmD4rS80ObfoJX160kEImcoTO+J751//KdttOZlxSaCXpUreeFDu0cxS+DJ/5s0QUhFHmi2zPj/0ni6/8AmXdpgEBNZKfKMS2zDO6n4sxIJCYRcgL/4/+ROVrkJryZlbZZnNLACVtmBwW7p3WdpEjDLyJcGe42UU3LL032ZujZHFcSc2baSOYkFvoHF0DSGSeiOp1plpWYY2RsdxlZlmnbfe2KDvawa+IQgNNstUlQMmVZYl40wtxjSnGN2KADJwX+IXGQd20VxcTGnNNXdacF8AusTkOjvOpAB0IkdGAa/SIZPZq1Yh2gv57Jc8fvMzTXzjJPJEqFye5E3FY5bYiO7Od7EyrC8NcVsQaMkqLIM+S9lbjDGlA76y5E9yFHhFR/zw+3scPuXy0S8mWhwUsZAMTRJwynjMwcqjyzKTpwFl6fQ7ZQt5YG3K5qIoFMvukchaGEvXxpZ+VlZ4Na7NCz0uSl+XZIwEEReSR8WCWEEUQxgqhn6iJoyFIBT0h5bVdc3OPVVaUxpdn+hRr3bYWG9zamGaE+ccVjuGKLKpoC/r7dHgcHTlifx6XWqruVRQUa7fyLfREYliS0FmekR3+chAVRz8mtWXlE9ZG2FyWVQHjr5Gqe8dsroG//3eGmt+Bu4E4I4sJmuV5cnIrpPZZSU8i0vge6R4KPs6/YORqr7S0YvlTp+8TlzK9KABTRRrJtyY972lz+cfrrHSVSBDMIqQRI9nVYY54EY+mijJlOTDqJIuV6WkUFafokg0NymL54BOfXJjGWPssiU4CnaESGzAS2HJjDG7BBmN1ikJAWEEa52YE/MRh84MeVuzx+6Ki37u8AQVtcpcZR7HVTh6ioqnsG7yi46cW55dmHICJ7tQonj982w9eUCW9/Ul740cX1eu8cgDy3KDQQJoqco6PAW3tKn0KALMgrkz1i7Y26lFfOkbFZ54sYopae+kqSGTJ6P1Jnlhf4m9Kf1+4+ULFz9SYOUWWiFRxpshbDnotBJlC188ih20ibjt6oB33dLn977sggpASKwQ+EajhEgmh1HynEs9kyOavOSDq6xHwibXvxyASpFqcpnMeCmYuyRTJJcktzIuEDbV4xmL29I1u5jZGcFTsRDDyDC0Q7zmKvu3R1yzW6Fv3tPnhaMxP/u7Tba0NNumYyYaCkcX/7EQGeOUjxwZvWmXAnz23kXZPVm0Mo1mwOzF7C1GgV24KCm4ZQbq5Osc3CW3JEvmKBWnWjwFuUzcE88JOXZa8okvNVjousnEXJnMYlSC4sSGsXjh4psmRgD/p6iTgs1ziVL2i8dOic5Oqxvpuk/Oz0lek+NPNtRjvu9dPR5+0ePYBQkiBBQGyVDI0iFSybUeDTRLIC+VGmZSKdPhUibsbq1Nsp0p4DMwW5vq5gzstrRryFQmyYLFC2IsE2j5spW+scUOk4ULmanhaMmmGcnNV8dMTnS4MBQ8ebSCfuxgxLHTit76FHqiiuco6hWL52YfsNBbWS2AHb0GF5FSvjIpr9Tx47fLtmCp8i0/kvti5r4kyLP5efm8bJsydHpAVdpfWQA7QskYndqCrhvix4Zf/1STB5+pJr1tUifaW8qka0cU81fyz5p9vrFda5zJy9ApY/3iDGbhWhRnvJfLZ8tltEm7mckcldgQSY2KNG+4MeDvf7DDT/+6ix/JJANlJFHqqkgz1uWTOSv5BxNYWcgVlRnhWQInZXMpU9BLmwaY6RSWtDfTCJHWp5QaIGwKapvhodTZI7LPMkYCpSbf5Jpk5cUJ65MuoOw0PBs3aXkb2LA5AmcdXdETbJuKedtNVeamHRpVqHpJ1R2kp/FG2ZB2xrrpxciCL7NWdgFfVZ6Utviy3TaqvYvz55NU/Zg8yUCfau1sAupIcClLsiSdcZ0HlzLCcSPue8rh8w/W8AMHqjrX3jl754EtI8+LmLuE4hzsl7hpo2xUKp/NpUFRfGVVVmU4WiseG4k0iVTJgB5Fmmot4n1vGHD3gwPueUoltiEShCQUmkG6c0ICOJlX8qXcKMt1H9n3pBZhBuo0mylApb9f9rmlSFPr0uYuihRgRamyURTAH2HsDOTl61IqJbbWJi5KbIkMyakQaQulo2J6Q8lqW3H45AS33DTB7GwD/fprBwwHHZa3rxJGDZJB9za1YGTa5CnxQ0kYpTOl05b9LGX7ZzH5q8qTMhPKAvBZilqVgC5FageKAtSFVMmAbErMXQJ6aZh7rr1lMiV2vWf50sM1Ds1X0mH+SUmsyLS3oDRByl4E7lyy5LuVKAH9T9EnJVYiz9SNp7aLs0UvHg5U1KhIqZAmRhpN6Gv2bgx51+t6PHHApR2k6VeT6PEARXYOxCi4L5YrliS5U5B7Cvq8GSJj8wTABYOnNeQ50C8Bbsbqd0ZgXbo2FPN3YmOJY0sUW4IwOXUuiCxRnMokabA2Zq0fsC4N2zaDPnFeMuxbPLvONXu69Idu0rJkFEPfY73r0e456Y+XI9mmLAiidInKW3IRZNpRLc645i4fyz3K4NkkpfL3OtffpiRLigmoIwGljEdeM3A7OsIQ87tfrvKbn2tgRTqfboS9ixHO8lKxwlhACdnOJUZ2s1dj7/IgglEvvCxTLm5lM1na3hhMLDEy8cWVNISxg1SGH35vn6PnHX7z85owKkBuEPhCokw2SCITsyWQ56QlEpck/VtaFEDPeyYzhk/fS9g6uYc2B3py/8hjAJtfq8IxsRdfpvQtY9MRJSYZXeJHloEPnQGs9iW9MD1nE+j7EXu3hOzaLNiyUaGlrOA4NdqrNT73cJ/lzgBrYOfGmJsuV0xPtAiiJmGk0InDTjYywphET40U51AAuhz5jthEY4xdHnVQHM+dJXZK00zFKHPLMrjVuDwZPbNepWfPJBo8xHFDji5IPn9/nV7Pgaq6mL3zmu9Ce5cTPCO/39jXmZ78szg8b9gu+9+UgV4A26ZNBznQZelUaZlocSk1YRjTqEe8984+dz1U5eh8mn5NZvYSC8EgTd4nVlwKbluA3UKS7TElZpfJWzaTJLIorDIi9czTxF8hT0aBbsX4Tjc6s7LEAaXSBdLTKTJpAsPAstgVBGrITdd22b3RxxjBctvh3Nkq4cBiwxg9v+6wuKT5xiMVDp5psNzWxAZarZCb9vb53rcYHCkxqR8pBSCzQEHkhThYO6rFx4GdRdGizIBjujuTLHkiZxTw485JduJArr9Lx23IkiyRMnVMUibXOsIPDXc/XufeZ6vpUSxOAvAx9s4CXiXEaDBMxuCj6ecM4eLPQjYX38wc6CWGNybNHmZOSnoUSaK7TSFTjCQWEhVLjFCEvuYt1we85bYBZ77i4JtEh6eVUERohiKp9xA5KYk8e2PNqCZXmSZP0/RWJoFewt4i1/U2DSCtLPR4AXQxiodce4vxfNOI7i4Hl6TJJUcJdmwJ+fDb17j58pDpZtIQstKBZw6FbNoCk1MSffW+nesvxeFd07WZ/+W67SFBaBiGliBULC9UufdJxY17FVqlAYBMKsiw5CMjcgsxR/ho8DAakJXm14kxOZL+uSqBPHNMZImxZdk9ScE8rrfLdmCWipcy6dSRbsQDT7n84scmiK0unBOpEELmR6ZkTD3K4GXH59Ls/edIYhbIpgRoyjLFjsgVQzb1Ki3GEoWjkmtymXjjwmiiyOC6Mf/0+zscOqt54EmJcUVKy8kvEBrFgJRNsw+UxgMoURwyn/8iCQPbdC/IMpo2DShtmuQRsng/86ptidiy3a1oe7Sj16qU/MpAnuUGEktQMNMSXL/fZfPEBs4uSI6fEQwDxdAXRKFGqo13Vep71tVbXrOhp83isd1bzN+fbEQIoal7MNOSbJ/TzLaSMW7ZqQnj3m+2+rIbe1EloBgrmBopeU2zk7IcOI763CPPVI7oEVswS+xkAI8L77tUd6JKvZZnVwW/+IkJHn62nhzKI920JNZBS0FVJkcQJYdc2Ytrt0eeaV18PiRndBhRVvMu1VjDdOn6FN+LUqnCWFa3FJuIEhmIcalX/jMLM9MRnrY88YLL+kCObTUynyIuSkDPdfH46sybIv80n794ozw/nmIJjf555h6VWTsHd+mYl1L2VymoViTWeqx3K7R7DmsdhwsriueOGo7POxw8vvJ9jz994JBeHXaxSFzZp1aJaNanadR0XmxVrybD4TNQJR+s6DjB2EsOvR/NVl3M2JcMMMs3tqzFS563LL+OALvspJQDy7QUNv06dmM+8YUJ/vgbdWxFgVAJOoVGSDnSb1n0N/4pHfMlTTmWoRi55+W37fiNHgNEcY1HnZVyh49J5wfalLmtNUWNipBIo4iFRg5i3vfGAa8cd/jIb2sCLxox6q1x8LPamaxyKmtry4LJUleEJc1umgJ8VqSSRaRsbgppkmU1bbk/s0SK+VDOi2PM0RxMGkRmSy8MLe1uRBxZPFfmPnw/CqlUIpoNnyi26KdeqWCswFWSmVrIZCMZL6xUMuaskp7wq9MKvvKJALley1ZdKRgf0Vk5u4x53yPnvDAC6IL5U0Dn9mDR1VI+3i5j7vxrWSR1ZF5zEnPPkx4f+0qdYZxOwReZNZhmLYUd0d4jzRcjC/VSAfTFgfWlmG1UpYg0fkklQJnJ0rkp4yW0VpasQllyVoRKCrNkWpwlDbHReI7h+9/Z49HnXe55NrELM28cKTBW48dp0Jlp8awOPHNZ0oRPYbCkteIpiHO3k9RREUXyR6brVhhGpIoQIgX/xddrNA7Jjj9M/x2RBpyxxQ9iHJ0A3HUEO2Y0u7ZKJhqKOLboD71phcS+CRE2ojuYoDdwEWJ0tFmmk6I48cNJx+8WU5rzfW4E2KNjBMpzpDP2tmM63F6Cvc3I14WDYi5m8ZGkTlwEmDqk78PP/c4Ex895WF2cljyivTOJlIGaMebmYhCXYssCyJeyBsZAPj6vdDSjWS6+KuvxSxRlybTiUJZZXCHiZH6IDAy7t4T8ix9o8+g/8egO01/GyPxzxTI5izPxc1PUZe4KSdCISUFNQgAgcjCX7PyCzVOffTThU361pd1vNGFYXuixTRKMYQRR5uRJcHybnuKRJAI7vmB9EDJ5VFOrOskg/9PLG1BK0+l0WF1dYecm2DAVImXRu6hUotSiWDLwHYxVRGm3dq7HRMpHJfYuyklLwC6z+EWAHgsyR5i7zORjmnvENSmdzpt63lqHRDH86mcbPHuwknjeMmPuwjlxxKgsUWKUtUcqIMeYO3mj1Ez9Knx9EZOXnZP862xXtDmTF8fGjFqHJnNYRCZdUm9cpM84lSrGcMP+kB/99jb//lMtgjhlcUijQkGMwjcUTC5HQY5MAlxVEuFWiNxRIfPETQF2KVPLOCukKrlMOfCz2pTsJ5U4wqTXKDLgh5ZBKAjj5M/zE611cs/mpgVX7xHMzU1SrzWJ4xj9xjd9iEq1wcljL/Lsk1+mWZPUKgH1akDVC3HdECWTscnD9Oi2YaCKgYgZyMeCz/Hy1zJTF++bEuBLjC3S9HzeaDvqe8tchpTPcIwv8UwDy0rM1x/3+OhnG7QHTuIBpp43aZNu4pwUWctyKW9ZhxdW5yVmEI6EZWLkpo0Aeoy1L8L7CNCL0W5WjgHbytRhsKNJIJHYiLFUSGuSepVI0awYfvD9fZ5+2ePuxxTUopSp008oBZGRDPM9uQB5rsVTHW5FweSZVQg2L6Mely4ysw4pZEu2xEw6BSu7kGWgy3xnsPQCwWJX0A2Tz+sKqDhQdy0Nz9LtW84vWN7wutu5/rpr6Xa7aD90cDyH+TXFwlrEdXtjZicH1LweiCFKh7x0QrLWVVjrUXUcwrCGH8jcthGlFVckbi41IB3KSZtMl6uSFs/YOzkyetwezF7ji/xureJkMZSqBKWMkDri4EnNf/l0k6MrbtIGL0raO60YdNJZJ7mzcamgklHmLlSZuOi9V7UH8/13DORjujt/LwVWdhbSRUHnSPIntQ1l0t4mMqkibCJVQstlUxH/6we6nFzQHDknsLossARIhzgFOWMgz4IslS6GpOi7rL+z2TlJGW3C+AXYk2SmHWVzmYKcdNcXhdzNdkqtksE+k62Q2c19rAhY60gOn6gysA5rvsPEUBJbw56tPts2Wpp1jZYKXfEEjiPY0IK9WyM2zw6JbJv7X4p45EUX33h89akmSysuc03LO250uW6Pg5QimQiVtoyNZyozS7BwTuwl2VqOaHBTYvaS9hYlplaG5MzG8WSOSasEE2kiZYTrRSy0BT/3200+f18N66giHf+nsHdR931xSv7iWubiexhl9OLNUcCPsPYY2LP3xmtSGNHhWW1K4aRYmSaA0g4gmbJ4IlUURhii2ODIxFVp+5Kf/BXFhXUBXplyBRadM/k4yG2aBMpY20pQZlSH59o8HfqTUXUGdplWJ2bsnYG8XBaTYCixVh0NjZrm+v0hb7u9y2xrwMJazD1PK0IjuP+FBk+90uL0apWZ0x5La5rtscAPJHoYSrTxFrpD8TXpNN52dnmJ3723wp880qS9VkMpxVQD9m20zDYg8BXzyzA9IRBIpGOS1TrO4LLQ2Sr/2nCRYzIOdmlzgI+wtzCFg5IBvJSplKlrknyd1JoEGL74SJ2vP1lLa01UDuxR9i5ODS7PGxwvphrX37IE7LK+HCFsUQLy+KNci1IGNBlzp9lCOarDTTp0J89wyqQATog02BQWIwxSlmpWpESkFYeetrz1liHvfk2f379LEUQiLTTJpApYHCIrGJoSyIVAl1yW8qq20lLy8VLwl5qXM7DnQE8WjShdh8xOzASSFInR5bmKqQmFqyY4dtphrT2gVR/yoTuHuM6Q99ze4Y8f9fnEXZNs37aBySZfm2rpBQGoX/3P/4lv/Ts3rDdqrB8/P/yuj31hnRePzCFNlQ0Tgs0Thg0Nw2wjadFv1RVVT6UHrJanSxUsXW4UHumfHHky0namSg5JubZbl+pNpLyYucsd8ToFt9YRsTR84cEq/9dvTnBi3kubGIqETlJzIvAkVLKETjoGLtuVimRO6evU/soSMPmUWwEynTaQDToqD+lPJnXJ0cRN5tSNP8sBbbmMIZdNJV8+DdCkTMdDlMhlPCGXLzhjmWrGXLEn5Myi4shpneQ0ZI7YfLVaIVLclrej8t8pVvi4v5/vCoz9p+Nflyows/gm6wd2lMB1JZ6rUDLJ3kaRZhg6dPoe7V4VTIOt0xX2be2zZesu+vHM//Hy4SOP337rm5Izek6et1S8mPkLHnP1aW64XfL8kYhOn+S0NU9Qr0jqVUW1otC6mP9c1qTjXraSF7O0Kn0tSiyeHSZanuAkhUUqMypR8toSk0qRIqDMLEHHiTmxLPnof69z6KgHDZW7JXliR8pcmmTAVZRAkwGIItgcAY3M7m+mGUcDyvFalHKDwaUIvWBtM5bwKdhb5t5wyuYk6XspSK3BpGa77LIIUehwKbKufE3oW/bvjvj+93Z58kWXk0uy+IXzoDMJbiMpGGbxwKVkShZwymLXyTK0yfcitw2LyJLCxElzK3muqWyVpuwfRpbeUKKUIoqTmYTViqZeiWj34dnDFaZrVfZc7tCaDIijCEgPobr9xmtQusa+rTGHD77A8ycgNFWaVUWrLqh6koqnqHgJwD0nHZWWddvkunWUsYskTSm4vJTXPS5JUhZSogB6WWfLXJaUAZ+xd8xqV/Aff7/J/c9ViyrBHNiFNHHFeDta0aWjxhiwvJBH6r/LGnw8sHy1QLOsUEop6EzEZkHmSLdPdjCTSbf+THuLAvxcBGyLMOmBYaltKIRKlpEwxH3DG2/w+fEPd/jZ35GsZQcEy1RQG5GCXBORglSK7KifIoudAT4txCqnJm1JgyfzI2wpKC3+nWSVZtfZpg0eYGLS+m9Df5j8Y1Gk8ANB1VcYI9G6Ryzb3P1CFW/Dbq698Vra3WEB8B3bNtJobbz75//TV37xiWcaP7m6EjBdd5iZUNQqEteReK78/7f33tGSXeWZ92/vkyrXzaHj7axutVILRSQRLZFhCIPDOA1jPAP2JI+xMc5rGQPfjDH2wDCfTRhjPGbIEiDLIIyyhLLUkprOOd3uGyuesPf3xz6p6t5WAIEw8+21TlfVqbrVVaee857nfd6E4wg8BwquiXbadpYnki8jk7mMv36rnXcie/h3Dti9TmZO+7ai+Lmc3h2H4RMO3hGa//mVCp/4UoVGGq3s5d2md58JySetIJZLge2PXuYtdRrPyV+xicdZPzt891jypQlX/bkcOaArYzWT0L1MnU4QsZpisvckCnN8ldJEcf9CIRSRsiDSVJyAX3lLg9MzFn/52SrthCco0WNptbIJYxAmByAN0SszcZnYeidRTCvl2nk1JT6Bk/dOD5S5ukXxMTUnp2kPYcaURyboE0m6vqDZlRTa0OoIRgdKXLMt5NItimL10AfXrHvrtw4ePgHE/V3+9AP/lcWuF7Qb4caiJV43OShZPeYwWLeplCTloqToCYoeeK7JTfGcbCSI09fRtYdPx4DPWjzkOHbf65eLVhrpL3Ewc1bbyrRvGddXCkexc5/L+z9d48i0l4XiE95txbWWQlCQcUpsumXcO5ELszrMHN8W/clSIt3f08NcJJ1Xc01HRb5BaY5vS7GEd4uE6+eoUb5fjEilV52dmDJ/QuYraOJpZ4ieE1bGZ03BVYwORNz9DUjpGwAAQbtJREFUhMPpMzK2un1yUPxYxcDuObtFvtuhSKXDBL093DyhdX0JhJmzLvrpeXqVMwOJ46IHX9PuKBabcHbeYnbew7YHcS3ns7t23nHPVde8JrPgAL/+K6/BdgocO3AHRw88gBYuQejQ7lgm7ySmj1mmn7HgdlLJHgNcxo6hzFtzkePfllpKTUSmfWd0JHk+49wyr5ikdCUO6DgRjx9weNcHBti510M7MqMlqQU31jvtcyLz0mA+52SpNJgEJnppSW+9ZY8jJvp+uGdjxqEHDMuXsJkRUlLF1jBnuWUc0ZRxKq3QIGLpUKYKjFFThNBEcc6z8DUXbAj42G/N8yvvF+zcFzsnMvdhktkl2IQqiV7mLHLMxa0k2il0Ko+mgSFJbNWJaY3h5UmwyE6OgM6fMEZujJTGCjVJ/5kkR6Xtm0HFrXbAS67dzmXXXkOz2QHe2wvw4aEyllMmWGzz7btO0PGrXLG1SrlQxA8hCs1lEHoVErvfMif0wuqzyj1yYLZfCJU6mIaOxI9TsEeZJc/ll8iUnoTYjqKhJR//SplHd3lEVl8wJ843AYkdc28771Tmg1B5UC9RI/onESwT+FkqLpwb133AziM8074zrt4TDErbvJluU0ngR8Y6eDJMQMeRzSg2mUrIjEoJC6E0EQpbaC4+r8u/fWOT3/5zh0YowGHpuHtpLvyRknRzTqQSGicBbVzckBQnS2WuaGmhcnxyWDH4iSXGkKRNXOxjWMkoQ51NjSCpF9YEIXS15ooL55mdb9JBUxuog+2kxzUF+Ik5l1rV2/cPD4ztv+OxdetHKxHnrxGsX9nEDySzix5+aE7p5FK6pJysJ5W1d38Sck+AnIJa5ELyou82BnwvuOOTQCSWO6SlBJ/6apkvfLtMNwFzn+VGGIkuLWaQWUAnbYG8xEIvH+Dpsc65HctnDz69De9Pm030b3KOZsLDFaQVVMnw2MwBjQEfO5gyBr/QAqEkQijjbGqJ0BqhZeyAWoi4HMyNNG99eYtdh20+9ZUKzQBzwJJGJz0gN8pNV5h2h16sjauYZyupUwsvhSlGtjCWXcc+pU5K4OJWFUlY3uwzV5wokWRjqgUQRDDbgHYg2LhCsnqwzksurLJqg7N/xYjYN1zNjmoyioX//pE/5/pXXL9/pF4bXTXQvO78NWdZMbHAnhNdFpsS1zaTH9JpZWlTnURNMXw8b9XtfKV7vr1xjsJk9ZR5i59Pg82rJzEHjwM6th3RDASf/FqZ93+ixunZOBSfat15C26sd8K9U5DH3FumjxO+nfHdlL7IrCtuNpw2vz/Ps3McXGSt73o4eB8V6uXfLM2f7nN6+x3gpOQvzb+nj2qRcPEcNyfZbwBaq0bs2Oqz2BI8ud82QaDltM8swyyT8xIJNLHMOaqR8PT+kVhZsCv3+uSE1tmWtCsxGawwNKyoD3U4Oq05fNzCK25g5YqtHz106MRfb9h06VILDjA44GDZ5ZvDidbrj51cvOjLdyge21tl84oi11xoMVANcB2T5JT/nokTk/UN7JX98uH2LEyv4oinysL1QuVUlMSC98uCmfYtC5obby7xp39d5dSsA66V0RHRa8HTiGWaFpCBV8g+7r2c5c7p3L15KPlNPJPBfkZrrnNUJKUqaVZhXwJWYsHjnBBjvWNqktPDjRU3lt1YbeLbhK4YqiKwCXzNxEDE+96xyMyi5O++UYECOUVF5yy5Bkwn21CagFCkBS7mOCuB6WsuYr9BmIBYQmGkJo12Jv1WZGLNEyc0dzwtCa6tqZclV59vs3Ftl0f3N3nyoMOJufajkSre3Oq2eo6plX/wV3/9adyh0SN7j6rLdu7mklPTZdaPl1i/0mZ0IKJW8SkVAlwnoxhpON5KZuQk6kjW/LJHOsxZ7N7i4UwaTKKWeZ3bcPMQaUVIEWEXFPuO23zgUzUe+V4BClavxRb5XG/jWHoimdCQjODO5sxbVmap+5v8JNFLIbOyvV5LnFnn9DmRNCtd3oL3n1T9Ucx0ekbOovcHnFIfIdkn9RJ6ldBnkxOic5Y805wzMhU7hkpTqymKBc29jzvMzskcUs59EmtikJOMMslb6ry0kll+ktTD5ORO38fsD5UgiAR+PKdea4Frm0okrUpMjTlsWmWzbqX1jYX573309W/8Nz2fye7/kDu2bAEhmB/ei8UiQ3XN6ECL4XqLWqWDbSk6vk2n6+IHJm1WQI5a9EYjex1Ic5t/LFLLnbfoyWsz3dvcjwz3dhX7T9j8/sfqfOehgimgFNY5NpE6lml9pciCOcv1+M5ThzyoksSh3iKHfKOfPou+DJ9PVZK81p3AK98TLx/kIRfoSR8nDiaZU7mkOCKz4FHMxY1+LuPpw8rw85i6RNqKgy0a1dG8bEeHP37XAr/3sRoHTrjgxp9NJRHJHs2H2KUk1IIo5uZhnMwWCY0tTGespImSFQeplDQnhCUya54URSgN3RAagaTpm/SQuY6m2Qk4PSuplixWTgxw6cWbUEr1w3kpwN/w2pciheXve+IMwj+EZQcgOpRLTQ6egk5XcNF6jyAcgMD8eU/dZE/rhqcDtsrliKsM6Dk1RcoI0Q9wR3HojM0ffLzGF75VwhfxNCqxlJYgTMaaLfJ53jqOUp6Dy/YVOCxJnqLvuT5gn3Pln+yL0yeAF/Ty0lx9WFb8AEvlw/jkSCObMeBFQlmS2k2ROJzxyZECXse9UXRKWUKlKdghb3tFi0jB7320xuFpzygryTL6ZLwlx12DkGgEAYJQQyDAFiJWr+LgmhbxFdQkcCVtmXVcWAGZX+srwWw34OJNc3S7msMnPTrC4/CCjaPglYMjXHDxy/0gjJ4Z4PX6ILZbeU/oTW7df+zBl9z/RIdvPVjDdobo+Gam3M+8NOBlFzhoJLal4hySfDeppbRDSBVX+STUps+CJ/tk8pzh3yJRUESEZSsOn7H57b+s8aVbS/gyHr2WB3Yu5ySNWIpc8/plrLdY5vacKoqgp5AhLxn2EPTnuJbYwjyo8/kZ/Vyc7LGRqvvUlZwVTzh6BnKZglQYgT3l52ACKo6t+Onr29gWvPcv6hw+4y6Dmvw3iJumxMqVFiK16KEgbeOclAc6iSMpk9EppprITLQ2KSHSlrz6xSE/+/IIrRV+EOC483zzfth1fJQrLl9x29q1K98zP7f4zAB3vCqf+PtbFjWDuz/xhTXXBM0Fa6IsiUJF5EC1JJifrXDwBIwN+ZQLQQzcpPAgXzrWSzkyAOc2VHrfAD2mK1KZpgaxJCisiBOzNu/7aI0vfauEn8gd+QQqYbTuhJrIhHOfo8eJWHK/l36k1KVv4xyWHbLSq+fkbPaBN2+8M8D3AhsyUItUOyYFc0JhEisukv2pJU8qjoxObhozmRxygRWDHqIoxCbira9oE0bwW385wMlZJynKjD+gNr8FOgN3CnQBxECPN4Gx6o6Oc/E1uPGfgkYisGM/qOjC6gEYK9U4drJMvewTKlhcFLxke5c3XVuI6pPF3Uf3f2Nx9YbXPjPAwVTMt5qNd12+qXxZ1WldPDnSYdehkBOnS4wP2wzVLJRWJgMs7VVi5k3adlb0m1GUKKUjIr6kpZJVej+jJ+a1EULEHNzShI7gr28q84V/jC23OBfvlhm4Rb7OUj99tJKc87WcgpKjJZmx7pszk0tQeY747o1m9gV1Mi0tVlQ4B00hBjoi5efL8fGMi5uTAxUbmFwXKaEsFKanFWhsFG+7vs3ugzYf/FSNEAwHjykJKqMnmQWPibQQOeALtJAEQhDEqoqjBZ6CyEoGU2kT8SSTTc/OCfYf91gxbHN8psOTByxWjnhcefHQ48WB1rtK5fKyx1Yut/OdP3s9562Mouuv26Ar9QBtLTLbkAzWbEYGHAarUC4oXEfh2hGObTq1uo6ZEOzaAY6TDFXNBqxadoBlBek04fz4viSnW4oIKUIDbqmQtgIbvnl3kc99s0g3lRv6QZ09FsmBEywThs9HK/USBzOlJeQAnYAbelhICuJ+3TC3ngno+hyPdX7LZxPmsgbTBpj9Fl5l1j2bnCyWgD27lfEsTqtnBpDSFkpbaG2hlcRVmrdf3+YVV7URUWRS/XRuUxGoEHQIKoAoMLcqAOVD1AXVNbeRD1FAFEV0Ik0zgsVQ0AwF7VDQjQR+CN0A2h3F/GLI9Izm7ILFQDVEW3M0u00a0Qb96G6iyXWvXfb42uc47my94CoarfbnPnnjU5sbM6K8Yshl1bjN2KBmqB5Sr/hUSqYwueAFeI6PY4c5650oICq10qS3yY/fuy+z5LEVtzXCEnztziLv+YsaTx10TZRGLmO5yayGyGneds6x7G0D0ReWz5en5UGezzDJoTsP/jy28xh/RnDr5Xbmw/YifVEPiHN/nwJaJHRax3QkAbl5rOLiA6ElQhv1RMUBnmTYVZK3InTmeGZWHCSa7esD/uw/LvCbFnzjzqL5EKmEmKYeZgdI5wxA/kil+qb5/UJhESqLQEsCLUyeDCqVbYUM47pUh3UrK7zhKsnEeLW5Yfsln7Ps4jmPsXWuJ/78w3/Gq2+44aEta4beIbon6ptW26wcixgb8hmqdRmodqmWO5SKHYpeF8/1cR0fx/axbZ+C61MsB3iFANcLcAoBjhvGzcKiLICT5925/G9pgXAEN95R5L0frfHkAddMK0itdy7HO9e8RwiBm9O8LUk6PMpOK/ZzkcSeyGTvfZFEK/NVSiKf+SfS2yzimOnhiQae7Mt08ZxTK5ejTFnF0Lkep6045PLOMH10i9xrsquSJiNWSYRT92IwwWhskITWjA4rLtoccuSUxe6DVt+VS9GrgarMwocRdBX4kYm3+3GzE0IQEWiFUppAQVdJ/HgekYogColzwjXzi4L5RYfxlVednJ9v/vyWrS8KzoXjc1pwgCsuO49uZ4Eh9z5GB47iWBApm5IXUC52KXodXKeLbYcIaRQPIRTCVhw6Lnlsj4UfWSQdsTxHc9nWkPHRCII4G01lTlN6wC3AFtx4R4Hf+WiNJ/a5cZRS9jmSecttfn0rp5j005PUccyXfNHnXC5RTHotcY/lfjpT/Rx4+Dkdy7ylzltsrXLyYGbo891Y8w2DkmzDfoueWPPkfvJcYulVws3RsdNqSLL0FdvXBbz/3QtoDV+/oxCL1zrj3MmKjDpDAGOjIZdtC/Ds2NYL8EPJY3scDh93TN4yFkpadIVN17JZtBzOuBYVT1J2NWgfW4RsXTvE9a9bx+BA7WmP7dMCfHR8ort7z/y/ffzE2OcXHj1Z3r4h5JqLztLudrnrScEt33XwQw9L2tlPIkBagv3HbfbsdVBRnN6oNI6j2bzJ5+LNAW+4usO2tSHlqjJTBOLiViEF2hLcfFeB9/5l1VhuN0FonmsvfSxjcDs9lCRXId+T39G7yRxoM8D31wrm8Sx6+Hia59zz8JkhnrTkXhbkOnu+J2yfcyjzudIyBn1CVZLCCJ3j4ibhil7ZMAd4pYwlVxCrKhphGcqSbxYoAs0F6wM++OsLKAU3310A4oGWmDewtaZcVWybCnjD1V0u2uyzZWOAk8BFmCzV3ftsDhy3sKzsRzDCjKQd2Nx8f4X7dpU5vljmZRdEnL865PKLas1qOfy31fqK7tMd36f9BfYcOEqhWB45ffLwY/f806cmhwamefRQg1sfqnD0jMdsw0IpASpCR75xLuJPrjD1f9mvqEAbelKwI4YqIZvXBrzp5W1++voOYzVjlZSEW+7x+C8frvLUgYRz9ysmvV2pDE0x4fiCMP0FkyaaPfSkPzyfFjHoXJJVb7fXpPAhLSbOFRonr0kLj9PwfVZwnH+c39eb2JV/nJsqZ2VJX1Z+fz6wliSFySyZrbcTwXJNk/IlgDrXnSDr7ZjP4OwpExRJ0ptRyYQreOKgw3/5cJVv3uMRxSf1aE3x0ze0eePLOmxZEzBUVhRtw/W1lmk2ZEJ9tE4kHUEUmdGI5lay0BQcPaP5x4eLPLpnhDUDNX7j137+xLp1ay5sNppnKvU1358F37B6HGHZZ6ZP7Hmrrmz5zke+POdMz64AbVOWUKoJ/AhmOoJWEBgPmSSqJTMLZrgI6BAdhbR1yLE5yYlZi+8+5vC9Azbve2eD0QHNd+53+c9/VuN7h2xjuWMdtWdLKElO87aE+TL9BQw9kUp0rxN5ji059TM5sFciTK1Dj0T4LK3GuSx539Zj4ZcJ9GT74uhfj2wY0xMhcrQlT1UyvTyhJT1SYhwI0iltMZvp/5101FLmOV+zbSrkw/95kV/7fwS3fddlbFDxO+9s8EtvbFFEIZQBre/bRJFt1Bot4ytSkoevyPpfOrQ6JRqtImFo3MThCvzMdRFXbpqjWL8gCILOW5FDZ5zCwNMe16cFuLQdHtl5gPrQ+mNTa4L9W1cc2rJuoEmrCwtNhW2ZX3m6DQdmIhZaFlgOQlppspHpjmooilYBCD+dl66Upqk0n/hiiUjBm1/W5dc/VGXPYdvIIL2ZRH3AlqnXJSCNWGbgTnK9l7Y+7s0c7C3hyhQU0aOS5JfIAzoH8nNx8ucqFaaAjxWIpMOrsXIZqHvGf4ssxTQDrE4fixz4e3m4qeEUwlw+BRolE36enBgyB3IdR1jNPtDoQLN5KuSjv73Ar32wylte1uWX/0ULL9KoEMJ4WK2xyg5hZBNFVgrwtEYgHhDWaAuOnCozvziAwHQ5nm/YzC9alMsOl1x2yf4Vazce6zYPUKisf9pjK3mGJaXFLd+57dBMo/Ur27dvYPuGiJFhEFKwatRmx2aX9/3sAq/ecRoRaCzLpmJLBh0YdjTDDgw4ULQllu2C5ZlcbRHHYiMINBw5bXHsjKTTkugl2k5egMsD3aBrOcdyaVBnmS5VPP19eY79eZPdC16d7sn4+rnhrfN3lgn05F+TD+iQWunetNr+AbI6tpK9nWlFOh685zWqL7yfG5mSgDxt45xkCuYiVCKCQlGzckSxakxhC9BWHHRSlmlVEbp0fY9O12ytboFWp0C7W6DjewSBi+sobn1Y8cHPlnngySKHTxUJI8GJmS737wqZWLWWojfzK4f33HxIynOKgOmyn+kFF25bw+JiE7dUOnHm8B13PPDdB6999FCbernO1AqHTWsUOzaH3PVkiCUsqo6g7ig8S6dnT6gEnUizEEoWtIOWoakS8WHNiOKKizv80a82mFodMd8Q/OcP13KJ8bltiRU38EkAnpWh5ZvqLwVqvkJkeSmtV/teEvghD/a+U/D74Sd5wKfnSJZdmFjo5EVpm7R0yyx5L1XJW+wcPUGkjzNrnujfAlLrLVN6g86oSfo4ySePP9ef/a8yn7u5wH07HZoduOqiLquHFIQCFdmEoYMfuHR9Bz+0iZSpeRMSHCtEeZKq7nBi3uX+PQ6u9tnQdqiXHbzCAtPtAjPBxXcMTl59ojrSxHErz3hMn9GCA1SrZU4f+6e9lbrzF4tcgPIdLtrocP76kEs2n+XE7CIPHahQKbmMeIrBgmKgoBgoKupFRbWgqLmaqq3wLMw3CmDTyoDfe9cCf/mb82xZE1CUije8pMuV5wfg5z5Av4Cbu5Ux97YStSTfpyX9015ZcEnWYD+Q6QV9AuGUhfTxE5F7DbCkYvxpQd0bhV+aSJhHf85iE0c004gl57LivUlX+ehmPprZb7HNJOXsNTpnvcnnemsQHtzzpMvXbvPoRJLvHXL59x+q88cfq7H3mIXtGikyjGw6vkur49FsezSaHgvNAovNAoutAo1WkYXFMhdPhYyPLvDgAcWTB0Me222hQ5e3v3YzxbL3F/9w2x17nw244VlY8GQdnt9KIazdXx20vvL2VzfetHLgCSqlNg/t9/nbb1d5Yv8gK+qaekFTdDVu7GequCtR29IoJI1Q0OlqNkx2+P1fneWtL29TkKB8kxe8ajjkF17T5rHdLs0w+YT94Db0ROQtdx/3Xm7rlwR7HpPTtvuBzzKWOXcy9JLyHLLF0l3nRnr2oqXh+xznJhvlsaSfuMjyVAy/1hk1UcSOY9yKLV+zmTirSqKFWhLWTyw5ZPuSJW1otAT/6xtFjk4bLVtLwek5m8/e7NANBH/4zgYrhxQLTYtO17Rca3cd/MCcTFJqbNuh6zuEkWTbGsF7f2aGv/t2wFP7yuyftnnbwDZuuOiir6yaWn0/NJ8tbJ89wF98wSTzZ08c2vFTl/2Hb9x4n3X7E/brHz1o8+ieGp1WgfVDgnpBUfKEaRJkGXlMKY0farwOhFojFhXrJxf5w18+y5uvC7BCl06EiWLqCNdVvPjSLju2+dzxsJ19wjy4cwlVNst1g+0dk5KF53PWm2Wsd+xcpk01+xWVPiu/hIf/APRkCd5zqkke/ObJXkCLHi6et+YZwDXEmYIqbeZp2jbEgJe5ZKycA5pU5cs82JP2chhX6sHHHe5+0MOPZNZoqSDpRPCF75g+kL/7i22qHjTbHnOLBRptCz+Q6fxM19a0PJtWx6bddblgTZPf/ZkmD+zucPD0GINDtZtGJl78H/YfPHV4w7r1z/o4PmuAA9SHJ3nwgTsPr113+c77di6+fudThyjZLlMTJq3RtQUFT1JwJY5tNF+lkxBrRKg1a602v/6Wed5wtSTqVggUppDBirB0iAgCzl8d8OaXd7hzZzG2FgmSsuTVfut9rv4mSwM6yxTqpuAVvVY8dxLkUf3cefZz+YOYq5ABe4mjmfPvjHTXV6MJWbqs7i+UyKXSLnncG/zRueimzltvnRwHjQrgy98u8MThpLFSUirogG3TUYLP315Fyzne/QbB/KLHqRmXZkfSDUwkW8a1lsW4PeDcosuZuSKjAxW2r24yPrqW9eddunPX7vsOX3LRlc/pyD8ngAOsXTPJ8OjqD75qbu/6M2cW395utBiu27TaCoWmVLApFSwKcYG71mYqbaNtMVjTvHa14vJNA8zOl5EySjMObR2CDSLSuK7PQEWleRDmd+/lDiJ2KJekwZLPENRL5MEeYPdvsJSHY4DfD9XlpMIeleXZrH4AQ5+jmT3R42gm+0QOuCJzJtNmPDpHV8ginsTg7g3N53PJe9NrU2czbVOfgVxrwWxDoiMrzhVyYqXMxbYsShZ4wuP+Jzz+1lasmyjghxaNlqLrR2gEthR4nqBUEJSLNlpDq20zWJMMDQ3SsTd9bsuWCz945Oix5wrX5w7wkbENHHjqq/OXX7TyXz/06KGVNa95TbPb5I6HC0wM2owM2gyUNaVihOeYlNrFpmT/cQfLglqxyMmzgm63TbnYpeBlemhSpoYSqCj+dVLU5PRw8jknS7XuJdxbZqrJEsBzDpD38eilDmbuvOsD5PejpPQ04Ey5eM6ap69Lgjhx6F7n9PD883H3KRPC1+msG1L15Fy3Sb3m0gCQ7OnDksi0Jr3CHLSkZYeLbdvUbU3d0dQKmsGSYGHRZbogsKyIQyd9Gm2Fa5txlcWCpFa2AZvJkTYP7wsIDzpcsq1654pNU//6777wrdYv/8yrfvgAB1i39Y3c++DO1qVXv87f/cRfc+u9TcKOx1BNsnYiYGKoG8/5CbCdFjffW+DA8UHWjLu0OpL5RQfHSgoicgXKVoSlExqS/2ETeJnnpDSlgf3zdHqALpcP8CwBcnLeIHqe63E06bXMyzmcvSjkWRvxZcFOHy3JgTk9NDkLLkgeC5PemnBuTUZDkvfKDYhKOLmKv3uetiTWW8Y0JWnwKRH0Vsjr3EGVIGyktChJTdXWVFxFraCpl42F9lzB1GTArN/i3vtsPGlT9jRlL2J8wKQjbFylecmlZ3nkwCRvftP1vhSyNbXhuYP7+wY4wIXnrUNp9d2z09dcFfh3FTetsDlvqsvo0AJzzQ6lShslOtz8oMfffHOAtQOK7pDCDy26gaTTtSm4Ia5j4dgWSpmk+mwGXWI6Rd8BlKn2nVjv5H4CxHwrhiRCuTT/+2kCOXlg5x70iiXiBwLx9w38FNh9/DoGfhIMUsIkX6n4jwxFiZv0xOZcSHJ54olOrtNwfdLBVsbc3IzklmaLE6J6yZv5fSwpKFoaz9J4jhkm7ToCx5Z4DgxUNb98fQMhfL7zSIWO7TBQgSMzNt0QBqoO528c5YbrrmoPjW75rhTPSs1+fgFeKpc5eKL9vo1bXqmvu/TEf1pRfbIQ0OZLd4Xc90SRGy732XvC5pYHx5mquZS9TNpKhphGShKlWmum12a8ILHaucCO6K+S741U5kf/LaniYXnJMMnr7rHYxNxbZBYyH45/3rG9DNXpQbbovc1bdh3LfyZpyVjxJLMwsdpKEvOV+H2USOmViMecZHPhYoc7yT6Mb1MFhUwvTzT/7LKXGaA0US13zAGaHQulqvzWTx/nRefNs/fIMD/1IsF9uwT3PF7inic8Nm7Y2nnVS1/6557H7wrx7DTv5db3f2oAU5NFdfh79/3hjvNHPlQbqvpfvt3mgcdH2DIxxLZVNWYWa7g4DFc1pYLAcWSavbestibia69UxiHvt97IXLVOrxXvKSiWWQP7Xg6es+z54gFyvDv3X+bBd25a8kM048uk0C73OP+63ghm7n5fYCfdFzea1yoJBIlc6D4J9sg0VG9K2WTciNVM2lOhznp99/sMZNQoijTdAFpti5n5AlFUoVYq8uSBEfYfnOTKTTXe9OKIqalBv63HPnTbbQ//oRC1pc1OnsP6vi14skJ9yq9Uyh84enq1v35c/PGqASVftDVkalWHgusxWRMMViTlok3Rk3iuwnFMxys77qEi8y0kpMbvwskZiygtXk0q50VPIXFqxdOU1qyf4HI1mMtSlGUtNz1A73c88/5nzqg/v6tPNen1QY3pTUd9Y0i1jKW7xOkUiHiKmXkuKSiWShiLnnM6RWrVJUKpVCokndqWm+SWTHVTEscSTAxF2F5EGGeNKszg1ii3BfGUhk5XsdiSzC64TM9UaXc0+4/73HKfx0VnyxTLNfXiS1b88YqVxT9rNM76z+2gLV0/kAUHeM2rf4l6yWtfe/l5X3npi7frsUGf1ZMz3HifYHq6yNoRyVDNplaxKRc1JU9RcCM8N8Kxo3SSclK+ZjsRB6Yl/3hPAcLevifJ2BEnl6OdOZPLKSl6CSfvdTxFL8XvAfvysF1OSfmRrFwYf7n/vz88r3IW3FhhchaYuBA5ez5KhsiqXOg+MsXIxpJLokj2FCWHkYWwBNdf2WX9aGhQrSOU0nS1abeWFA53Auh0Na1OxHxDMz1ncfhklRWDFV57dZODZxqcnPEZWXmxtirbv3L8rNd+7at/7gc+bD+wBQcYHFnJ4NDAnkDX3jVYa/+Pf7jtLnnvQwOsG/EYH7IolywqRUG1pCiXIsqFkFIhoOD5uE6AY4U9SfXtSDDXcEBnxQ1Cip6ZOkl9ZRrckX2cT2aDkJbUXubAvVy52hJpML+WAxc/BMyf6w0TBSX3MHl54kDKuE5TxW8iyRxLpDCEXKqeYVMidkjTfikiKU4W8egTky6rlEZJy4wmVBKNxUBVUbSyKnulIlqRjSOSQg/TwMe1lClMlyY/vNVxmGwPcM02G626jE5codZNbX7XqvVr95w9deZ5OYzPC8BXrLoUv7nL37j5yk988r59pUZr04cv3TjD1KSkUoqYb5jxepViRLUUUCt3qZXblIod004inq9jyYgo1Dz8hMf+k048+s+Efm0BntTZwFaZD/L09flOZcNnD+6eqXGIXqDHZvvZ6tvfD+Cf7ZUhyxNfEgsigbmKJZQM5Dqe9SSygU/aUJGeMTnpdzfPZfKRyRePEhoZmcltlrIJuxbrxnwu3t7lyRMlAqVAhASRYE5JupEkUBow1UWm/XZEx484cEJz4LjFxFCBi7esZMWqwm/UL3zRJ47u3Btdd+W25wOazw/AAdzyeZw6eTJ642tfv++qix9anD3+1WoUHeHgSYtmZ5yhmkOlFDJY7TA8sIDnNrDsrsFw7HlLqegqzb5DDnMzLtQMwC3LzNTxZL6BZm7WZl9n1mxiQz89EUu4+HJWfCnylg/exOn+y9CZZUKRy6H3GRSZpzuhkqeSYFCiUBlAmkBP0oM4zTdJB0glZ0jSEzn+/kk0UyXyaDwGRSmiODU2Imu3HCqbbuAwNBSwcW2AZykCFZk5JZGPI0MKUrHoe3QjB4TAtTWVoqZekcz4izy0XzE+N8pV1163eMVVO/Y1mqeji67c9HzB8gfn4PlVrRYZrs3dtPX8S969Yt1LZubaki/cWuLMnEu5oBiqdpgcmefUwgJ/8r8d3vFfB7j1IZnCBAStruDUvJU2shfCoiChKDVu3PY4HRiVC+ZYeXD3tH3IwL2kPcSy4BZLnM4Eo/ocqkbuJVlE8vtY5jPo5anR0638Z8spKIlCYrb4vha99/PpsrktShSUmJtHkSRUFpGy4lpJU5UTRTY6tBivK4oFlapdDopX7pjhf/6XY/zOzx1hYniOo7Oa2Qa0upqxusWbX6zYtsnm59/+8pmLd+x4965Dizc9XY+T72c9bxYcoFSuA9BozHxmYu1P2c129MGXXPzA6NhAk8mRiMnReU4tNPjQ/xnitoeGcKXFNdtmuGxzk6Jnxm/vPWjz+dtKJjogbTxLUJKagqVxkknEMcfumYImkpa8fRRFmoaP/VLhkqhlf5SyD2FpW8jlFM5Y8RBPY7ifE+77/u/lFJz+CGaW3hfvi7+RSD6bMAOczJi/bJJCIoyLpJ+JSBSVmK7EzydXh8SJNY9sc9XtOLzlJV0+cXPI9PdsbNul5io2jte5ZEOFy7d0mRyY5/1/pzk8N4BrK/SeDtpexVtec+X0q19+7W/5QfCZlVtXPp9wBJ5ngCerUhni1Onmp8ZWvU5uv6D5p6J16+hATXFqvsGffXGQnbuGuWIKJoclNXeEk2cKjA/PUyp0QAS0AwcsF0daVCxNydZ4MbjzIXnR70DmLXRS+CBzjXbkUnCLZXjAkj166ROaOFdDkKaspmDuz/o7x+qRJPvePymS7tkX/5NvWt//MUXeAdWxv6GTDlbm+2dd8XU2fDXJK1G9fDx5XyWMRGjJpDWceRMpFUHo4Nl+7BvYDLiCqbqguTjILffarBzzuXj9HO95+xz/9Ys2080SlhOyeu3m6Tfd8Ir3aqU+VSgO/DCg+MMBOMD4WJm/+syXPyGoRIPWmv92ZM/uoWbgcv/jQ1w6JVk5ajM5YlErK/zAIowsgggOn7JRwsOyXCqOoOooCraZJZ8ANQVAYpHpTYNNrbe1HC0RSy1iavX6wJQHTiJTkAPQEqsdv4ns/et+OC5L8/NKTu6JTN3JwK6FiVou+YBJvKXvi4hYHxeCnnK3nv9bE4fnVdpXxTil2QFSmEb2UkoiFcUnkMaxQzzRYc14xMMHMCF6W7PQiNh92GKx5dFqD3PleRGXbenQaCg2rd4ys2Ob957dT33t01sueOsPC4Y8c9XmD7Bu+vLn+Ph/f/8Tkyu3/eKREwsjdz08R82psH29y8bVgokRRa0cUi0FVModLLvFR75Q5PEDQ5SKLkOupuJoisng2biIYml1fNI7xMjmdtzDZGnfkWxfb6LVUgrQC5Dkfp9unlNWTEQ0a+WWdZ59htZty9wuN6Cqt/qovwtuUm2T4b2/zUSSc5JkHOa/bM8JJllSzgcZLw8jSaikyR2K03Cl0FSKERqff/puDSFdqq7piNXqKBaa0A0spPQoeS0mxzYt1ofWvvvgCfHZ17z67T+A1/LM64dmwZM1NL4hRIXvGBuZWjc5Jv7qwjXHCpdsWSSiSRjZFOwilqXwnJCj04rHDpVxHI9BF+quphRPVk6GhYaRJowEUU4IzkfzewI90oBdWiLl4/mWx9mlXPc4aclt+poUCHEBbsqr4xyQ5AoQE958L5JzSyTZlkVOc5Qkvr88oPMnWfJBzYHIAzrfb1yQjIqPh7TmrlhCGIVFidyA2Zyd19q01A4jA3CtBZZUBKEJ2QuhKRUCtq1ZZHKsyeEzZYJI0OwqAlpMt2D3iRKnZgSve8UFnUV/5b/Zf3Lki/VS6wcKwz+b9UMHeMEW+n/89efvKngr7l29st0+fbb1t5/59u6Cjlw2TbpcuMGiXlE4dpdvP2Bz+FiVWkky4CmqRU3ZM5VCUkIUQcvXBFE2JiYPkrQ0Ld+Bysqsd48OThIYiVsb0Fv5QvLz5jCXU+HSx2lfwERmW1afXno/99Gz+z2UhJ62ztnr+8at5N4s11ktVUkMXyY9WaTW8agQc/nOU6BEUZG5FrbCZG0hhCAILVptmzAydZSeq4iUyQ9yGyFTk21e+aJF/urrQwTKolyUXLDRYd3qJt3gLKsnNnYG6sP/6qLV276yZeZgdOlVb/thw+/5lQnPtf7dv3kbZxq7ow/ffP6Xtm8e+4Wplee1lF/Htar4oUXR63JqzuejXx8ickoMFRT1oqZegnpZMFSzGKlbDNVMrWfLh24oCBU9gYqeIE+OlthSYEtwLIFjm822BbZltiTyB/lkpcyyq/y+HtuWvSYpOEDn92UvTO73ADn+4EtzXnSONi2dGZTQgqV6fpYWaywuZkJZaCaUJbdhZLYoDtFHUZbhmfQdB3Mcbanw3JCiF+KHMD3vcHrO4eyCw+yiw/yiy2LTo9Eu0u2Weedr20wOz9MITL/UTruACGtMjF3SUt7UL1zziukvtdt3/kjADT9kDp5f3/z6jdz08St54MHiky+6cPjA+esar2y35wvjQxHHZ+f54P+p8OSRIaquzXhZMVSBgYqgXrGpV2wGaw6rxwXnb5nm3r0Oi00bO+bbtjSyuenlJ9L7tmWAbMW35r5MgW0lObQaIq1Rytz29+FOmWgPdc3+zYolksxEU+WScfFzDILtUX90z/68/JlNeUvUo94RLFmXvCxLMIikAXOcIqJUjotDfMkhrXISyWeIb81gX4XrRFRKXTpBk89+SzA3X8QPJEFotHGtzfdKXlsrRZy3usvBaYtWo0ClFNERE/OjI+t/VZ1c/Ny9e1Zxww3v/FHB7kcHcIBPfvpGfve3/wVPHS7t9PXo8YnxVddVy0dL/3h/l2MnRpkYC5mbE6wagJG6ZLDmxJvF6JBmw6qAK8+f5dR8i7ufrFMtmPYUjm0AboBtrLVlGYttWwLHkji2xLYlrp3dtyzz4yhtWlcHoSaKTPZbPmCTQLm/4KGHXveBu2c6cdqssxfgVh7o6b78oNosWUwkAawY0PlorZUDPJhGS34g6PiCbiAIwySZKqdji3xP8/z7ZRFixza+0ehgky/f5fN3tw4gI6PgJJxca4mUAteGoVqLh/e5uHIYS7eY6Qzx5hsuP/uKqyb+4/kb3c8+ecLhnb/0gydQPZf1Q+fg/evl1/8CAFqd/RuEY3/1lvIHjp++d/TNVy9ystni6JEq9bLFUM1mdMihXhGUixEDlYiReoeCG1GwNTrOlchHM/MqhCUEMga4bRPTElPtb1kmNwYgCBSRgmY7ohsYcCegTiwskrhHtsiNajdpqgnH0zpJWyUbCpXTkdMwOtn7p5skB+SlmZD9HbjyVj/pOJs0rrQiA24/ELQ6miCIlcv4yubYpMURqWKjBHaumifNKIxPcsuK8CNNK7CYaUDBCQlCTaer8H0LjUXBdQlCi3uelJw6WeWtrxzkDa+/anpk/FW/rZT/NytXDf6ooQa8AABPf2A5zNFTrU++6JIbxECh+qffe+pro9+9X7BiQDI6aDMxYrN6PGKo7hOGJo+8VPTp+AHHZgq4jsC1NE4c4bQkcT50ZjWNbGioiWNLUx7nGKfVsY2Vl0LS7IacmjPWW+Rm1tuINNMuLYkUmfOZgFxAOr3D9OU2SU5SZKVk2RfvU0Fkr/XMpwCLHLh71BSy11pSZ9OlpUJIKBcCzs7bnJ6xUxA7jrlyJWmygnwbZ50rdjDWOQgllrQIHEnXt1kx5ON5IYtdm1ZXE6mIU3OKwUpEpBxcx+bY6ToXbTjDAz7Uxl89fcnFV74X9CeFeGHA/YICHGDVeAmtW58YHbwsPNsMPjxSvXvQLi0wMeywfmXIlqkz7DkqmJkbYmpSU3ADTsxG3P5ojcEyVD1NyTNUJAEP5IAjcxTFkbiuoOASb5qCpxiqhdTqczxyWHLybImhIhQcjWsngBLp3HTokw9JIprEaahxgDwewWcqxJKQTOJx9uqGqaWWfSBfokXnVmz6pTD9wBP+6zkR9WqXY2fbPLK/ysxMmcEKeK6k4Coi19S9CqRxxC2BbekU2Ob7GefUDKQyBmNuscR1FzaZGG5xZroICMaHJWebbZ48IokisC2Hkldm8/ohXnT5FbPVoRf95umz/K/xke+/3Oz5WC8owAGEKHFmLvjM5Tuunlk8M7uhUgo+1Jh+wBkfbrHrWIdb7hlgasxm3YoQz+3ywB6bdqfEqhHNYAXKBXOA277JVdbSmFhJ1nTetiWuY8Bd8jTFgqZUMEGmieE2G9fOcdN9Lo/sK+FaOU4qzWSO5ZbGlGElqoaO5TfikyJJ5ku7S+W/M72UJG1+b2X8N6EmyV8sl/+dnBC2rfCciFLRZ3RggccOdblzV51Bx5xUlaJOCx0A4wBbAjvSPf6GGQRgnOxWxyaKwA8klhWxdrLEZZuafOnkAFpLxgZtrrhA8PX7Oxw5ZcZKXnTJlYFvee9Zs+66fa5b+LoQ3gsNrxce4AAjA446fGj3Ta9//Wvcs6d2tWanxcfu+O694pv3V+SKgSorR6BW7rLYbvOlO+uMlC1Gq4qxQZvhuk2ofJ48GNHtCsrCpJEDmZWKAe65moJnwF0phVTLPtVyG8/1kVrQDhXt0KJoayIr+eGzIrFE0SAvG8aCvBACKxacE1qhpDkJdDK7Jll5eiKzk8lO8m2SzrxJL0FtBHaFQCqd0iXzHfOKhzEC0gpYDASEgoqXlD2o2OrHJ71l4dhxSZs2HN6yNMVCSNdXHDopCQKXkQGjc9fKVd704rN886E2s+0yJ89o1oxX+IWfavHdp7QaX3GVXrFq869dcuGmT+8/OO1v3bLxhYaVOT4v9AdI1pq1m1mYO+6XKuOfmVwxta2pL/j9Czdu5PKtPhtWNxgfXuTmByTfO1RjsqYYrltMjjhsmRL89PXTDIy0WewKIhU3fU9AZxnH0nNiauIpip6pKioXAkoFH9f2kcKUWoXaREnzEmF/8ChRKyJlgk5BCGGoCSMTaY3iQJRW5Dq/sowVzxw929Jms+OiAEfh2Aa8QJr+arTrOIgDmCuGjoEej23UiiCKWPQFza6g1dV0uppuV9ENFH6gCOLPm3w+IcxnqJZ8Ti3M8bnvLLL7kM/xacHpOZfp2QpbV7m86rJ5js1p9hwPuPPRgFBv5k2v3Pr7a9es37Zm1fhnDh899WMDbvgxseDJWrd+K0D7I//zq7v/4JOv+cATn/mm+92nnPedmj9ieV6Hv/9OjaGCzXAFRgZsVo4JLtw4z1PHfJ46XEmVgITtGuAYh9J1TOSt6BqAF72QgufjOV2QQc48Z0uIJGkr1tTj2VdKGHAn0mJCwW0LHEwzSanMyaDz5pa+SGXOGbalxrGygmxDFQQ+Rs8OwjjKKMx3tKTqaW2cll9oaahT6NOONM1A4PnmpLEssG1ljomjiCKLpHAnKfoWArau9Vm/Bh47UMJzoVhwqFdcRgZq/MuXTHP7o21WTdS4dMdktGtmzZ+89WfHP7D38WPR1Nrn1jfwR7F+rACerP/wq2/kxN6/iSY3vuMPTp6etf25r//GTbc2vE6rwEBBUSnZjAxYTE120GKW7zzmobouAxUDiigymEqcTGO9NUVXUXAVnhvhuSEFN6RU6PLAHsmuo0UcWy5tA2eBLeMIqGM0duOIRTQ6mm5gAO1Y5iQC8/9akZluvRwHh1450Iqtt2NrPCfCdSIc2/Rm7Po2jbZHq2NaNNgWKCf7blFaZGzaOXQDi02rFBeua3Hnk3WagUXR0bi+jmMF5uRwHEUYyTTlwbaMgzy/6DE8UOYlFzXZc6TFwVMl6hWL8UGbuUWPgWqdN79UUq1f1X3Hz738v1VrI38Q8mX+6Nff8kLDZtn1YwlwgMmNv8DcfJN67eT79Mgr5ZZT66+6Ztc/yaNn2le59rw9MRyyenyWz90puOeROpvHLVaNCnYf69LoWFSKBgSeA8WYd6fgdiI8JzTTmZ0uD+212HWsRMkT6QhCy0osq9HQjZMq8VyJ5woG6xF7TgecmnWplwQVN+vgbVsQSbKxINCTo5rq37lAjW0ZWuI5EcVCSLHgUyt3OD0rObhznDCUuK6k6Jq3saTAsQRRJOJqd3Pb9R02rIBLN7a4/XGfZlikEggKtsYOkkoohWNH+J4Z321JTaUUoHSbJw8MsGp8kOu2hxw9u8iXb3UZrQtWjoHlVMPTCyvv+bVffIVqqi337DrafV+7tUixVH2h4XLO9WMLcICBejm5+94/+tiNrDhvR3VN1Px/h8TRfzm1cr988liTR3YPMDXssnWtwyXn+YxPznLjbaOMD2gcS1AsQLWkqBQjCl5iHSMcJ6Rc8jk1G3L/rjpKexRscC0D0ERDT3R01xEUPItK2WK4ptmwKqJcn+HjN1U40agyUc40dCcyARWVBHtS860z3S+fJCbBsjSurSh4EeWiz1Ctga8W+OLddR7b6bNuQjFQc9DaQsTWO7QNqJOoYhRZ+IEN2uXS87qsGm4y3ShQd00LByc0XN0UPig8TxGGJuhVLXf4yt0N9u6vcPEmD9ce5dL10zy8a54zjXFK1TVqYvXwF8ZG3Xe220cWp9Ze80LD41mtH2uA59cfvOsNHDhwaFHI4q8THNl79jTbv/n4yJsWzh7n4o2SqZWCtSsaPHY4ItIGnAVPUC1rRga7rBhu4ocW7a4dN1yPcO0ud++0uPWBOp5tU7J1DHDdk+PiWALXkRQ8SbkAtXJEyVP8q1eGFIsn+ZP/7TDTKeLZJtFfqSxBq5ebpHm26X6ZOIhWpoRUSl00DT7yBY/P3TbCpmFotKJ4sIBxml07S5pK0liD0MIPHPzA4xU7ulxzwSKfv7NGJ3TTzzPT0HRCwcpBjetEtCsWYWQ+h+dGHJiOGKyEOLbDtqky7377Cu7bNf6V7RdftXN05YqPLDQ6iyvWrn2h4fCs1z8bgAOsW7cW4Mw9Dx/9vcLQL6299opdbFm9702z03uZGD5BvXqWf3xoAM8SeI6kUhKMD/qsmZjl0HSH2blB6iWbohdQcAOm5wM+/09VzjYqDA8ISraK6z6z4ghLxlY8VWMMVzZW0OWVOxb58y+1mFssMlQQhLGKk9KRvshlTyJX7jVSaGypcO2IcqHLQrvLbQ8OQ2QjhcIPIQi0UT/CJBgTbzHIDcBtFpsFJkY6vO2lDe7a2aTZcZFCUC0KJsciTjdbHDhVwLEFA7WIji8JQ5tX7PD5xDfa7D+hmBgdwa7vYPv2qa+8/o3r/yOqdUhY4y80BJ7z+mcF8GRddckqGgszh7au2fabBw9W//7O20/6gyPDf/Txm/0LDk9Lto1oSgXJYA1GBhrc9WSXG++ssW6kzNUXCFaMKgpeh7t2Cb61c5ByyaWWVA7ZGUWRMbgtS+QmGhswgsAPLIhsJuptpmcj/Eim1hvigIrMEqySEGiWr51l94k0aBPhOj7Tp6AjHVwnKbQwyk2kFKEywa18ymsYSvzAwrZsbMtlbrHM1dvm2bF5nlserBAqi0pRcuVWmzWrFvnq3T6799UZXbRotc2VbXI04vd+uc2p5pW89EUX3j5Yr3ykVJt6bPpMeGhsdOKF/tm/r/XPEuAAldoQwF5g7z13/gVKrdh34SWv+vxiuGvDib1PWOUiTAx1aYctvnqnx+xMmQtW2RTdgIFKiwf2BvzJ34/hB1XGK5qqawDuOgbckCkdVqyDixzDUFoQhhaTw/Avrmvx0D5FqK1ewIpMqrSkTEP8plcfOJGZYZQWJMT90m075Mt3FDh6xmGinBVpQNJqDaJ8azZtMgi7gYUQTpruOliL+K2fbnK2McOBIyOsDTSNls14tcwbrznDnx8rcOKsxaoxSahsJla9LPrF7dv2fvNh+1evfvEVJ6KI3Z4tntPv8uO2/tkCPL+uuubfs/fY/GPDa6PrB8veypVvueILh/feXZsceap8eLpNtzvIqmGLFSOaydEGu0+0ed+nJ9h7tMZERTBY0JQck9dSdAVBpAkjHU8AE0hLpvQi6TFiCgUMdRksRyRThZNskwTYriNxXQvHMlJhGGrC0LyHJU3fbKVEjq6YHo2zDZcgkqZFRu5kkXFZWhR3SpMC04ZBCxptu2eamgbWTVj86S83+N1PuxybqbHyTMThU0UG6i7FQotud4iR8XXN8y+7eqFYW3irW9l47HXX2oeW6zbwz3H9RAAcYOPKOlGkDm1Zc9mRubnW+Wsn1JXV0kV/tf87T4b16pGhNUOt6qrxDgdPL/LxmwYoqiqbxhQiFIxWwQ/NKI2VozZ7TzaZa7gUC5im7a6xvt3AtP8NIwPutO4x1zAwSX+1pIjTAyzKBZMH0w00Z1oRvq8oeBaWtPAc4yiqXJpusplmRTot3nBtieMY4HV98F2jvgwPtJhrBuw/NsbaCdMardEuoLRmZhGioMhv/ct5Pnqj4OiZAU6e9Th/89Tib/zrdTNdscMerti/MjK24V6vUJ4H1E8KuOHHKFT/fCzLkgghVKUwMzs2PnGLW6ht/otP/9WGP37Pz//JDa+87Inhkfojf3vreKdsjfGmqzXvfO0Mq0YUV24XVOqKQAmmJm3e9sqQxTAELahXLMaGoOMHnJkNaXeg60uiSKRW0g9NG600giqIA0wW5YKkXlWsHveZGGlyaq7DsemQ+UZAsxPFJ0w8fTjOIFda4jqmKt0kY5mTpViwGBuEUqHL9KzPfMPw84K3yN/d6nDwuMayIuYaTe561OLQSY+P3+TwxX8qU/ZW8js/LztjE8OPrFh76ROrt77jTx557C83DA/WNk9MTN5y8NjCrBDiJwrc8BNkwfPLKa4Gk6Hd2rv/MNKyP2Rb1of2n7nYevUrqh8br3Q219z919z9mLBWj7lsWN3lwQOLRKpGuQhjAyZs7bmS8SFYvWKBhw8qZqZL1CuSbiAIlERIODWr+Yf7q2hh0woMt4YY4K6kUtIMVSPWTjQ525rnyHyZ5lwpbh0tKRUkYWQoimMrPC9CaYvrL+1y8/1dlHKwLUNlSgXJ1GSXkwsL3LnTQ2vJ+pUSjeb0rEVZaIQO6QQN9h2vs3KsxMWbLBba66LC0IY7N67Vu99db75rz0Ersuwi7/j5r+mRsTWtF/r3+mGun0iA59fG9WsgU6NDHcy9E9sdPHHi7Ptv33mru3ryeLR2Tbhj26bhSw8daKN1B+ji2AWqJZgYDmh2Gxw+5VISOqYplikDizS3Pe7w4PcGWTOkcVyfrrJibi4oFgS1smK47jM21CAQ8zQ7DifnywyWTZ/0SsmKiws00vKZa3RptitcvEHykktafPeRMraMubxjKpimVrQpVzQnZzxmFyTNtsNcO6TV6eJHFYr1YarD5QcV+qFXXzdq1Sdf5Ss5/jsd3Zm95PL6C/2T/EjXTzzA+5dwBgBmgX8HsG/3N3BsrrtWiOsv2eq/dXKws8VzT7Fq5BirxiWTI6e4bWeDw8eGuXRDhBAOYQSNlkUQwsP7ytTdAm+4XDMy3uJrd3t0Q6MxlwswWAuYGG5Qr81xfK6JLQqcbZc5OudQ8hT1iukvUnAjZps+N91dZtXAEK+5eoGL1rd4eKeiXHSxLKPBzDcsto9rRgYWeeBIgfnWAKEa4TUv28baoTor15W+ZxXtL1zrFf/Rlvr283a8/IU+5C/o+r8O4P1rw+bXANw+MzN7O3CHFOGG6bOn1Vj9y+riC4fXTW6c+m334BHe8PJRjhw/TqO9yKVj8+w7MsDIEOhQsm5YGJVm3MZzInTXlIjVK4qpyUU64Qwf/HuPMLJ447UhN1w5zRfvrLNvusxgLcIPHTTGcdx3pETULnDwODh0Gan4DNYEu442GR+UjI2U6coXcc2Os6xZt4WC9j/guMcP/Nzrr5GVypgsFex9wC2X7njhysR+nNb/9QBP1tDQIMAtyWOt9wHuwMGjJ+6xCmUu2VYLNm1Z/5+mxuRPbZtaZOxoiYMH7+bY9CKrJl1OLWpGoypDlQBlKTpdn0ox4MG9Tc7ORew/VGGkVmCkpFk71OTabYucPBtxZr4MSnDqLDiFCqODJTauDZlvOZy/tsiZSwe56rLrOHJWccGUYN2KzjePn3Q+fOXFA85WfQHaXn87uj23ccOKF/oQ/liu/x/g51hCbACYA24EeGrPITTsqhbleL0SKrei2XNwJ+0gpFSyaAcKIVTwlhuu/cPIX3zd9GwUrFvfYc+JgA2Dkg1TEERFGi1BW0ds36LY4YTsP+KybZuk1XWcwYHa1/zwnj8cqmtHC8FAxWXlWIUtW7azXlkMVZHDA+Gp0RUckO76F/oQ/bNYP1ma0Au8Hn/4HoQQ42dmjtX3HQ31led3OHxKUS26KB3SaBdodxTzXYmOBPWqz6ETgsu3CM4suGJ0dN08Wp265prLXuiv8hOz/j/ZD7J42/JRuQAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxNjo0NjowOCswMDowMPAiVpAAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTY6NDY6MDgrMDA6MDCBf+4sAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 7}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 8514840
    {'hecke_orbit_code': 343714824235, 'n': 1, 'trace_an': 126}
  • id: 8514841
    {'hecke_orbit_code': 343714824235, 'n': 2, 'trace_an': -7}
  • id: 8514842
    {'hecke_orbit_code': 343714824235, 'n': 3, 'trace_an': -7}
  • id: 8514843
    {'hecke_orbit_code': 343714824235, 'n': 4, 'trace_an': 725}
  • id: 8514844
    {'hecke_orbit_code': 343714824235, 'n': 5, 'trace_an': -7}
  • id: 8514845
    {'hecke_orbit_code': 343714824235, 'n': 6, 'trace_an': 244}
  • id: 8514846
    {'hecke_orbit_code': 343714824235, 'n': 7, 'trace_an': 0}
  • id: 8514847
    {'hecke_orbit_code': 343714824235, 'n': 8, 'trace_an': 2233}
  • id: 8514848
    {'hecke_orbit_code': 343714824235, 'n': 9, 'trace_an': 6312}
  • id: 8514849
    {'hecke_orbit_code': 343714824235, 'n': 10, 'trace_an': 1955}
  • id: 8514850
    {'hecke_orbit_code': 343714824235, 'n': 11, 'trace_an': -985}
  • id: 8514851
    {'hecke_orbit_code': 343714824235, 'n': 12, 'trace_an': -455}
  • id: 8514852
    {'hecke_orbit_code': 343714824235, 'n': 13, 'trace_an': -4485}
  • id: 8514853
    {'hecke_orbit_code': 343714824235, 'n': 14, 'trace_an': -6771}
  • id: 8514854
    {'hecke_orbit_code': 343714824235, 'n': 15, 'trace_an': 5017}
  • id: 8514855
    {'hecke_orbit_code': 343714824235, 'n': 16, 'trace_an': -41935}
  • id: 8514856
    {'hecke_orbit_code': 343714824235, 'n': 17, 'trace_an': -10409}
  • id: 8514857
    {'hecke_orbit_code': 343714824235, 'n': 18, 'trace_an': -5110}
  • id: 8514858
    {'hecke_orbit_code': 343714824235, 'n': 19, 'trace_an': -33397}
  • id: 8514859
    {'hecke_orbit_code': 343714824235, 'n': 20, 'trace_an': -24507}
  • id: 8514860
    {'hecke_orbit_code': 343714824235, 'n': 21, 'trace_an': -5448}
  • id: 8514861
    {'hecke_orbit_code': 343714824235, 'n': 22, 'trace_an': 25193}
  • id: 8514862
    {'hecke_orbit_code': 343714824235, 'n': 23, 'trace_an': -29017}
  • id: 8514863
    {'hecke_orbit_code': 343714824235, 'n': 24, 'trace_an': -1885}
  • id: 8514864
    {'hecke_orbit_code': 343714824235, 'n': 25, 'trace_an': -2080}
  • id: 8514865
    {'hecke_orbit_code': 343714824235, 'n': 26, 'trace_an': 34713}
  • id: 8514866
    {'hecke_orbit_code': 343714824235, 'n': 27, 'trace_an': -7}
  • id: 8514867
    {'hecke_orbit_code': 343714824235, 'n': 28, 'trace_an': 28665}
  • id: 8514868
    {'hecke_orbit_code': 343714824235, 'n': 29, 'trace_an': 17353}
  • id: 8514869
    {'hecke_orbit_code': 343714824235, 'n': 30, 'trace_an': -290052}
  • id: 8514870
    {'hecke_orbit_code': 343714824235, 'n': 31, 'trace_an': 13547}
  • id: 8514871
    {'hecke_orbit_code': 343714824235, 'n': 32, 'trace_an': 458283}
  • id: 8514872
    {'hecke_orbit_code': 343714824235, 'n': 33, 'trace_an': -94801}
  • id: 8514873
    {'hecke_orbit_code': 343714824235, 'n': 34, 'trace_an': -191527}
  • id: 8514874
    {'hecke_orbit_code': 343714824235, 'n': 35, 'trace_an': 183008}
  • id: 8514875
    {'hecke_orbit_code': 343714824235, 'n': 36, 'trace_an': 956352}
  • id: 8514876
    {'hecke_orbit_code': 343714824235, 'n': 37, 'trace_an': 0}
  • id: 8514877
    {'hecke_orbit_code': 343714824235, 'n': 38, 'trace_an': 304607}
  • id: 8514878
    {'hecke_orbit_code': 343714824235, 'n': 39, 'trace_an': -381031}
  • id: 8514879
    {'hecke_orbit_code': 343714824235, 'n': 40, 'trace_an': 66419}
  • id: 8514880
    {'hecke_orbit_code': 343714824235, 'n': 41, 'trace_an': 313447}
  • id: 8514881
    {'hecke_orbit_code': 343714824235, 'n': 42, 'trace_an': 0}
  • id: 8514882
    {'hecke_orbit_code': 343714824235, 'n': 43, 'trace_an': -323228}
  • id: 8514883
    {'hecke_orbit_code': 343714824235, 'n': 44, 'trace_an': 281588}
  • id: 8514884
    {'hecke_orbit_code': 343714824235, 'n': 45, 'trace_an': -1237551}
  • id: 8514885
    {'hecke_orbit_code': 343714824235, 'n': 46, 'trace_an': 80948}
  • id: 8514886
    {'hecke_orbit_code': 343714824235, 'n': 47, 'trace_an': -180133}
  • id: 8514887
    {'hecke_orbit_code': 343714824235, 'n': 48, 'trace_an': -762055}
  • id: 8514888
    {'hecke_orbit_code': 343714824235, 'n': 49, 'trace_an': -1861754}
  • id: 8514889
    {'hecke_orbit_code': 343714824235, 'n': 50, 'trace_an': 0}
  • id: 8514890
    {'hecke_orbit_code': 343714824235, 'n': 51, 'trace_an': 999215}
  • id: 8514891
    {'hecke_orbit_code': 343714824235, 'n': 52, 'trace_an': 471797}
  • id: 8514892
    {'hecke_orbit_code': 343714824235, 'n': 53, 'trace_an': 1030011}
  • id: 8514893
    {'hecke_orbit_code': 343714824235, 'n': 54, 'trace_an': -92099}
  • id: 8514894
    {'hecke_orbit_code': 343714824235, 'n': 55, 'trace_an': 324233}
  • id: 8514895
    {'hecke_orbit_code': 343714824235, 'n': 56, 'trace_an': -842713}
  • id: 8514896
    {'hecke_orbit_code': 343714824235, 'n': 57, 'trace_an': 331037}
  • id: 8514897
    {'hecke_orbit_code': 343714824235, 'n': 58, 'trace_an': 849461}
  • id: 8514898
    {'hecke_orbit_code': 343714824235, 'n': 59, 'trace_an': -369609}
  • id: 8514899
    {'hecke_orbit_code': 343714824235, 'n': 60, 'trace_an': 553323}
  • id: 8514900
    {'hecke_orbit_code': 343714824235, 'n': 61, 'trace_an': -594727}
  • id: 8514901
    {'hecke_orbit_code': 343714824235, 'n': 62, 'trace_an': -886711}
  • id: 8514902
    {'hecke_orbit_code': 343714824235, 'n': 63, 'trace_an': 1914136}
  • id: 8514903
    {'hecke_orbit_code': 343714824235, 'n': 64, 'trace_an': -3250219}
  • id: 8514904
    {'hecke_orbit_code': 343714824235, 'n': 65, 'trace_an': 1473521}
  • id: 8514905
    {'hecke_orbit_code': 343714824235, 'n': 66, 'trace_an': -427559}
  • id: 8514906
    {'hecke_orbit_code': 343714824235, 'n': 67, 'trace_an': 122535}
  • id: 8514907
    {'hecke_orbit_code': 343714824235, 'n': 68, 'trace_an': -602346}
  • id: 8514908
    {'hecke_orbit_code': 343714824235, 'n': 69, 'trace_an': 4320057}
  • id: 8514909
    {'hecke_orbit_code': 343714824235, 'n': 70, 'trace_an': -1694994}
  • id: 8514910
    {'hecke_orbit_code': 343714824235, 'n': 71, 'trace_an': -770707}
  • id: 8514911
    {'hecke_orbit_code': 343714824235, 'n': 72, 'trace_an': -391202}
  • id: 8514912
    {'hecke_orbit_code': 343714824235, 'n': 73, 'trace_an': 476945}
  • id: 8514913
    {'hecke_orbit_code': 343714824235, 'n': 74, 'trace_an': -3943812}
  • id: 8514914
    {'hecke_orbit_code': 343714824235, 'n': 75, 'trace_an': 2061367}
  • id: 8514915
    {'hecke_orbit_code': 343714824235, 'n': 76, 'trace_an': -2044462}
  • id: 8514916
    {'hecke_orbit_code': 343714824235, 'n': 77, 'trace_an': 3016216}
  • id: 8514917
    {'hecke_orbit_code': 343714824235, 'n': 78, 'trace_an': 239350}
  • id: 8514918
    {'hecke_orbit_code': 343714824235, 'n': 79, 'trace_an': 5077268}
  • id: 8514919
    {'hecke_orbit_code': 343714824235, 'n': 80, 'trace_an': 0}
  • id: 8514920
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  • id: 8514921
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  • id: 8514922
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  • id: 8514925
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  • id: 8514927
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  • id: 8514928
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  • id: 8515020
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  • id: 8515021
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  • id: 8515022
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  • id: 8515023
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    {'hecke_orbit_code': 343714824235, 'n': 557, 'trace_an': 356737063}
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