Embedded newform data - 81.9.f.a.8.10

Formats: - HTML - YAML - JSON - 2025-06-24T03:45:56.139075

• 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': 6561, 'analytic_conductor': 32.9976674149513, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 27, 'char_degree': 6, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 18, 'char_parity': -1, 'char_values': [81, 18, [2], [1]], 'cm_discs': [], 'conrey_index': 8, 'dim': 138, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 343748378705, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 27, 6, -1, 18, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '81.9.f.a', 'level': 81, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '27.9.f.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 23, 'rm_discs': [], 'sato_tate_group': '8.2.3.c18', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '81.9.f', 'trace_display': [6, 0, 447, -6], 'traces': [138, 6, 0, -6, 447, 0, -6, 9, 0, -3, -28668, 0, -6, 120975, 0, -774, 9, 0, -3, -137913, 0, -185478, -68376, 0, 507585, 0, 0, -12, 943980, 0, 920739, 3005136, 0, 660474, -6225408, 0, -3, 23716884, 0, -975273, -16694382, 0, 4412514, -17341119, 0, -3, 11341869, 0, 11347482, 40948977, 0, 14465511, 0, 0, -12, -52215771, 0, -19078611, -76116738, 0, 34059450, 223709616, 0, 100663293, -20396037, 0, -103603884, -101921427, 0, 135373629, -125718795, 0, -7632642, 66643887, 0, -203790342, 343269159, 0, -68767890, 0, 0, -12, -383244663, 0, 170435619, -71426730, 0, -192774918, -135692730, 0, 77546796, 1343159175, 0, -44451609, -881099997, 0, 31339344, -1293135102, 0, -420000003, 359688039, 0, 407171514, 2170779501, 0, 209356785, 0, 0, -12, -2948722074, 0, -700544445, -1632684180, 0, 155207235, 3054379842, 0, -3, 843022818, 0, 63197256, -1150345812, 0, -1018509363, -3421074600, 0, -3, 3725225673, 0, 1206603840, 2363029107, 0, 266624682, 0, 0, -100663308, -3368746497, 0, -556910547, -3134663088, 0, -3229032492, 1774606086, 0, -3, 2134988769, 0, 5816942412, -386490783, 0, 878553588, -933054057, 0, -3, 3408052218, 0, -3527326815, 5062955073, 0, -1782578952, 0, 0, -1757787708, -4323232725, 0, 9496112700, -125915862, 0, 3278732628, -6657501042, 0, -3, -3830620566, 0, -7637584428, 5554786035, 0, -5835884184, 5956975071, 0, -3, 6477643086, 0, 12578867040, 2204470533, 0, -2951905464, 0, 0, 599999988, 2911545195, 0, 1057075617, -10679530386, 0, -6402985827, -17938951569, 0, -3, -14528978529, 0, -1058125893, 10944974814, 0, 5872076445, 27095113584, 0, 50331645, 13292246478, 0, 3209615904, 638394966, 0, 5603163282, 0, 0, -4959057162, 2198276400, 0, -17581701441, -17238477528, 0, 375634740, -64611042777, 0, 5396654589, -14977413183, 0, 11511410088, 37239854409, 0, 4617457593, 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0, -70401303837, 99264531654, 0, 31609131837, 588988633686, 0, -20456234925, 205569552174, 0, 11534826198, 0, 0, -100663308, -355023533190, 0, 30279260331, -637645542084, 0, -129286973718, -68913230859, 0, -13408076088, -199115275056, 0, 25350009090, 126201693243, 0, 126284983869, 480628714077, 0, 599999997, 451900258740, 0, 1176577977, 616347052587, 0, 23152443783, 0, 0, -48405423162, -831648373518, 0, -18178410291, -530528480985, 0, -18110653611, -466253902935, 0, -3, -21279103779, 0, -77767512849, 87522936525, 0, -130152254535, 457142133168, 0, -3, 882910636059, 0, 64705134261, 503310396588, 0, 21996200028, 0, 0, -56406053388, -511268913816, 0, -67543518912, -1049515047864, 0, 48675064131, -656599301406, 0, -3, -113424859710, 0, 146062957866, 128031279252, 0, 124937090184, 779587883298, 0, 50331645, 909015998031, 0, -40788461445, 1058001179220, 0, -178110337983, 0, 0, 14655919938, -1003309909167, 0, -120646942797, -858480434691, 0, -30400033020, -1631967627267, 0, 20927272320, -280659904257, 0, -46206420084, 425707891071, 0, -105639158526, 823177032057, 0, -79811511195, 1562631380103, 0, 200040869496, 734637374484, 0, 311985293358, 0, 0, 268363387488, -155498420973, 0, 111984522366, -1839596846793, 0, -132155162091, -983365785612, 0, -14850228099, -933650106498, 0, -382566945057, 807386742051, 0, -116914209789, 1895679584397, 0, -188058402192, 1111839329319, 0, -75888055596, 589799288850, 0, -45926775885, 0, 0, 97754070228, -969886156647, 0, 295133176827, -1008691223223, 0, 121121902449, -1905070465584, 0, 206804183850, -981418996458, 0, 380503708896, 1481337036327, 0, 623460007593, 1388130026544, 0, -90881460003, 1659383566362, 0, -488377467030, 481764971796, 0, -590561188500, 0, 0, -288989956344, -464456962785, 0, -380971770261, -2077457166168, 0, 158554730211, -1280592232965, 0, 128328885078, -1048173727695, 0, 177955913658, 558650920554, 0, -225826448100, 3391455292344, 0, 11837729946, 1582724292675, 0, 572308084197, 623346658392, 0, 833236234047, 0, 0, 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2183601397797, 0, 650331645, 216039713307, 0, -780925667046, 1368753309642, 0, -363672914490, 0, 0, -348835246716, -1865872163877, 0, 1029426139707, -1764109604856, 0, 2162091108477, 1168736395527, 0, -3, -1171305971058, 0, 1831237408092, -1188533439039, 0, 1166423408862, -965181473370, 0, -3, 2671135152636, 0, -1370387484753, 945516466059, 0, -2133303169902, 0, 0, 1663618741518, -1328525545539, 0, -1883563294218, -1600762315032, 0, -2328757807854, 273707255205, 0, -394293376074, 2629908146022, 0, 990197249520, -938608289865, 0, 2333167224123, -787023950985, 0, 387381194493, 1433387953608, 0, 633513162024, 3759893953647, 0, 2405818824612, 0, 0, 1032962366784, -2096488828164, 0, 2612126820, -220273973571, 0, 344724038319, 2156012420985, 0, -530414075907, 363130203201, 0, -2080704913134, -3797072660457, 0, -3329237619747, -2813617922121, 0, -474302466921, -2847296666592, 0, -2375309083917, -185397523008, 0, -181013303733, 0, 0, 663643110900, 1199692784412, 0, 1181859254175, 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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

  
  {'an_normalized': [[1.0, 0.0], [-0.4427877736477164, -0.07807543122192503], [0.0, 0.0], [-0.7497273812544967, -0.27287845059098553], [-0.5592943337332219, -0.6665410315441522], [0.0, 0.0], [0.009339172420653723, -0.003399180773797792], [0.7000460485815932, 0.40417177459371667], [0.0, 0.0], [0.1956082143825998, 0.338803365688488], [1.0565705401260546, -1.2591717370244304], [0.0, 0.0], [-0.30804470137473483, -1.7470083145361002], [-0.0044006638685689554, 0.000775955773057597], [0.0, 0.0], [0.3327674152711889, 0.2792250154218714], [0.44946814563599025, -0.2595005548751009], [0.0, 0.0], [-0.5767861533925894, 0.9990229227781807], [0.23743359223720145, 0.6523434332917073], [0.0, 0.0], [-0.5661468935148237, 0.4750536495404514], [0.3894069825960335, -1.069886891660561], [0.0, 0.0], [0.042181382681076386, -0.23922250872552583], [0.0, 0.7976046450329507], [0.0, 0.0], [-0.007929396464853543, 0.0], [-1.3369430406281533, -0.23573912973315686], [0.0, 0.0], [0.7973760238324771, 0.2902211381925596], 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-0.12592633443042156, -0.30899475094385015, -0.46078426487451546, -0.0723973625580437, -0.4101341623024426, 0.30277587407968526, -0.39560768685337266], 'char_orbit_index': 6, 'conrey_index': 8, 'dual_conrey_index': 71, 'dual_embedding_index': 10, 'dual_embedding_m': 125, 'embedding_index': 10, 'embedding_m': 10, 'hecke_orbit': 1, 'hecke_orbit_code': 343748378705, 'label': '81.9.f.a.8.10', 'level': 81, 'weight': 9}
• mf_newspaces •

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

  
  {'Nk2': 6561, 'analytic_conductor': 32.9976674149513, 'char_conductor': 27, 'char_degree': 6, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 18, 'char_parity': -1, 'char_values': [81, 18, [2], [1]], 'conrey_index': 8, 'cusp_dim': 414, 'dim': 138, 'eis_dim': 36, 'eis_new_dim': 12, 'hecke_orbit_code': 343748378705, 'hecke_orbit_dims': [138], 'label': '81.9.f', 'level': 81, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 450, 'mf_new_dim': 150, 'num_forms': 1, 'prim_orbit_index': 6, 'relative_dim': 23, 'sturm_bound': 81, 'trace_bound': 0, 'trace_display': [6, 0, 447, -6], 'traces': [138, 6, 0, -6, 447, 0, -6, 9, 0, -3, -28668, 0, -6, 120975, 0, -774, 9, 0, -3, -137913, 0, -185478, -68376, 0, 507585, 0, 0, -12, 943980, 0, 920739, 3005136, 0, 660474, -6225408, 0, -3, 23716884, 0, 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• mf_twists_cc •

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

  
  
  • id: 3738381
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 8, 'source_dim': 138, 'source_embedding_index': 10, 'source_hecke_orbit_code': 343748378705, 'source_is_minimal': False, 'source_label': '81.9.f.a.8.10', 'source_level': 81, 'target_conrey_index': 8, 'target_dim': 138, 'target_embedding_index': 10, 'target_hecke_orbit_code': 343748378705, 'target_is_minimal': False, 'target_label': '81.9.f.a.8.10', 'target_level': 81, 'twist_class_label': '27.9.f.a.2.14', 'twist_class_level': 27, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 9}
  • id: 3738382
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 8, 'source_dim': 138, 'source_embedding_index': 10, 'source_hecke_orbit_code': 343748378705, 'source_is_minimal': False, 'source_label': '81.9.f.a.8.10', 'source_level': 81, 'target_conrey_index': 2, 'target_dim': 138, 'target_embedding_index': 14, 'target_hecke_orbit_code': 343748378651, 'target_is_minimal': True, 'target_label': '27.9.f.a.2.14', 'target_level': 27, 'twist_class_label': '27.9.f.a.2.14', 'twist_class_level': 27, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 9}
  • id: 3738383
    {'conductor': 27, 'degree': 6, 'order': 9, 'parity': 1, 'source_conrey_index': 8, 'source_dim': 138, 'source_embedding_index': 10, 'source_hecke_orbit_code': 343748378705, 'source_is_minimal': False, 'source_label': '81.9.f.a.8.10', 'source_level': 81, 'target_conrey_index': 14, 'target_dim': 138, 'target_embedding_index': 14, 'target_hecke_orbit_code': 343748378651, 'target_is_minimal': True, 'target_label': '27.9.f.a.14.14', 'target_level': 27, 'twist_class_label': '27.9.f.a.2.14', 'twist_class_level': 27, 'twisting_char_label': '27.13', 'twisting_conrey_index': 13, 'weight': 9}
  • id: 3738384
    {'conductor': 27, 'degree': 6, 'order': 18, 'parity': -1, 'source_conrey_index': 8, 'source_dim': 138, 'source_embedding_index': 10, 'source_hecke_orbit_code': 343748378705, 'source_is_minimal': False, 'source_label': '81.9.f.a.8.10', 'source_level': 81, 'target_conrey_index': 71, 'target_dim': 138, 'target_embedding_index': 10, 'target_hecke_orbit_code': 343748378705, 'target_is_minimal': False, 'target_label': '81.9.f.a.71.10', 'target_level': 81, 'twist_class_label': '27.9.f.a.2.14', 'twist_class_level': 27, 'twisting_char_label': '27.14', 'twisting_conrey_index': 14, 'weight': 9}
• hecke_orbit_code 343748378705 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': '81.9.f.a', 'level': 81, 'portrait': 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UE/cVntCtaPaZabmrPzisD1WD8Jm2ci1k31mZ0KWT8VsnmdYet6xbVbXCqqxqmzDb75ssdzRxMOnIlJVZvvfFOTe95gqKgpjp4Z59RFhwsLKXMZuI8vGW65bpF/8aFVtkyPcXFhnIXVgOWmy0pTstZOaXdTmj3BoRNLHDrbvPbkpeU37143t33n9Nz9P/Hj749+7dc//VpD4i/1+GvN4MasonULIbxffOaFs2/42X//RTndOPeGX/2pE063P8Xy2hhLa1WWmy7LTYflpmClmbLSjFleS5lbgxPLgpnpNf7VDy5z69VVzs1PcnGhxsUlh/llw9xSwvnFlIV2wvhknzfu7/D6a8CTFXzlM78ScGnJYW5F0A0hSTSBp6kFKRNjCRo4M5fQ6sC2dS61SogxAoRHp6fZuj5kec0BY6XIWgfCBAyGlWbEplmXdk8hlEHokEbgsnVDn7Wu4MxFh1Q7TDUk9UDgu5Akgm4omVuRXFo2zK8m+H4f3ITb93Z4w3WCmUaF5dUG5+Z9Li7B/FLC/ErChRU4sWx43d4l/vUPrrJ+vMHZuUnmlissrnosNSUraymrrZjVVspKW7PYlpxrQrvT5fO/HCbbZtY9rqa+XzvVnY8ncfizldo4W9fXX2uovOrjry2DHznwB8ysfz3//J//7C+88uKX/9cP/9ZDux860N6+3F6Td93QZMcGTZI6GKMwGXtjJCABgRAGRxg8CReXKzx1XLJ/1wrXbOlTDcB1JJ6r8DyHWkVSdSXdjsuR0wEPPOdxZiGklcQcOReybmqF97xxlf2727zumianlxKWuoKq3+fkRUOzVWPfTslaP+XQaUW96vDKGbhqo6EfpfRTD8eJmajD4XM+yklxZYLjQi+U3HpNl15Xsn93SquXcuZinR3rFbVqxFpomB3vstpp8ScPwgunUg6c6rNt4zLX72kxMRnx7tvbfPdbDLvW10njcU5dGOPEeZdzc5rzCzHnF1JOLAjOrsXccPUi/+oH26wbH+fc3CTzy1UW1zyWm5LVZkqzHbPWSVlrG1a7gvmuYrWd8LqrF/neuxblRDXefuLU8R3PHklvu2r3NZUdm8a/9qsf+Rxf/vwfv9aQueLjryWDf+ozf8pDL+5TP3j3o//n4WNL//xLD59VL51MWO45zPc0+7bN8ys/tciNu6rML0+w3Kyy0gxYabqstBxW27DaTFltJay0E5aacG5V4FT63HHdCt/zlogdszXWOg0WViosrngsNQUrTSsRVtuaVk/TCg3dfsJUI2brOg0IfNdwfsFFSJ9ts4odGw0bZ7vMr4a8eKzOzVcZqpVVXj4+Sb0WEUUuUxOaXh+u3drnjx4cZ8+WhDA0TI9J4rRHPfB55XSfilvjxqsTDpyMmF/22DTls2MDbF0foVTM+SXwXIMQhm3rEibqknbPp9N1aXVdVlqKlTVYbmpWmilLzZS5Jiz3U7Zu6vA9dy5xxzUOgdvg0lKDpdWApTWHlZZgtalZa8esti24lzsw11HMryXcumeOD//UMrs31Vhr11lt+py4NM5C96rUeDO/8NM/OvWvH3momd751g++1tC57PHXCuBPPHMQzwsqi/MXtp44ceiDSwuX/s3BI+dZagnafVjrSRa7kovthNftnOPf/dQK1++ssLA6zvJajdVWwErLZbXlsNqCZluz1k5YbSestAzzTcHFjgHR4Z43NXn3rZqdGwKiqMpqM2Ct49FsK1Y7gnZX0A8NUWJIU1DS4LtQ8Q3jDcPsZIzj9jlxKeKl4z46qfHO2yIcd41nD42xfQN8+amEN+3zWWj2CBxFksZMTkASuzhuwvJylTfe1OLLT9TZsQGeORbiUuXuWzWJ6PHSiZRT5wMc6bFuwmGiJqj4As8TKAGJhig29CNodw1rHU27q1nrapY7hl6asm1zl3e/vsk9b4hA11leG2NhpWL1dsthtQlr7ZRmJ2GtnbLWMax04FJbsdhKed3V83z4pxbYu63C0uo4a50KrY5Ps+1xcRGcYB3r1q37uWv27PvU9u2bzvZ6/d7E7LWvNZSKx18bgF86f4z1m2a9J5488iMvHzz2G8ePHBArqx0ZxtDuatp9TbsnWOsJFnqSS+2YW3cv8Ms/vsxNuwOW1nKQ+6y1PVbbDmttQbNtaHZS1toJzY5mtWNYaAsuNTUT412+43Vtbr8mYds6RaPi0moH+K4EFFEi0VqgDXT7gNBM1Pscu2DQJuKrz9QIuxV2b/K4Y3+XWK/xyHPj3HiVy7G5Ds3VBq/f3+Vrz/qsmzQcOmP4h+9tcei0z7pJyQPPKe64VrHSbXHy3CQ3Xh3xyEs9krDK7Xs9dm3p00s6fOVZBangxHmHRtXBEdDtSbQRpNoQJ4DUOJ6m2THU6jFbNoS84dou33FzwlQtYH5ljOW1Cqste25WW4JmB5rthGYnodlJaXYNK13JXFuw1E64bc8iv/Dji1y/I2BxbYy1dpVWx6fd9Wh1HZodSa9vSE2gb75pr9m4Zfc/0N41HzPxQrT/uj2vNaSAvyYA74ex7PV673nq8T/fXQk6H773KwddiaLbM3TDhF6o6fY0ndDQ7gmaGcgvNhNuv3aBX/zxRW7e5bHWGmNxtU6zE7DW9ljrODTbimYX2h1Dq5vQ6qR0eppm17DYESx2IE5Drr+qx/rJlE7X8K7Xh2xfr0lSiSMNUQwPvxhwdiFgw0TCyycC0FWu2ay4aY/GD7o8e6zL4lKN67bXaIyv8sQBl1uuCljurrG62mD9esNThxQ/8NYOTx9y2DzrstRpsroyyU3Xdnni5ZTJyjjX7e6w0Gzy1MFxKk6N1+0xXL21D7LDi6cEs5Mx84sxj7zo0o8VUkKqDds3RHzH6yPaHcXGCc1NV0EUVVlpVllp+qx1XFpdRbMjaXWg1U1pdaxb0upq1rqGlZ7kQkvQ7IXccfUi//rHVnndVfbmaLYrtLo+7a5Lu+fQ7im6PUk3FKy1UqDHpp03xdPj9f/jnu/6W8eDSuWLUnr6tcbWa57JNGmPOO7/4DPPPvMrS/NHJqW5xLb1DZbXFGBAgCCxd6KwFqAQBikNUjo8fXQdP/u7Du+9Y4XvfesKOzZFzC038L0KFd+j6rvUKg7tiqTecxmrOXT7KZ1eyrpQ0wsN7b7PymLA+XOGKNFcmEvwfQMIPGVwpKDbUwhckq7DDdsFuzYatm7qEqZt7ntacfj4BO+42eema1f5+H0GT1TZvqnLgScUm8YV040ugaoQxS4LbagFDpvXCV44HHHT1RXecuMSv3dvD8+t8/bbDK7f5etPRXz5yRoHT1XYubHK9g0pMxMRO6Zj9m1PUUrjKAMYqr7PzLhPFLu0ux4vH3NtiUJP0elLOj3o9A2drv3u7V5Kp2do9QxrPVjsKuZXDdWxJj/9zkX+zh0h1++scWmpQbMT0C7Arej0Lbg7fUG3b2Xc8pri8Nln3N07Nv7K3qvWrWzdeev/srzS+b2pydr/uABfXu2x0uLHTh/7xi+eOfLgpEOHOK0jkFQDsAuMQggQIkUIkMJ20ihpUDLFk5IDx2Z4/miNYxcXeO8bOrxhb5/xeoOVZpVaK6DR8+h0neziSHp9h27o0A8N/UgTxYY4NiSpPaLEw2iQSuA6gsATjNcFE3VYP63ZvK7L9EST+5+FR593kXqMd9zscsM1bR47GBP1G9xxg6DZ67GwXOP2qzXT410qjk8/USy2YpQW3HC1Q7Ue8tyRgDffNMbrr2/z3BEFZoyb93r86Heu8LUXIh54usahswFbZxTrJytM1KuM1aHig+sYlARt4NApQZoK4kQQJRDG2O8YpvRCTT/UdPuabqjp9KAVwmJHstCGUPd5240rvOcNTb7/7ZokaTC3VKPVCWj3PDo9l05PWebuC7p9Qa9v6IWaXj9FAFXP4diJS3zsk1+ZfOfd+v/3nXe/yTG6+7tCVv/HA3i71UJK8aPLF7/6iysXvjK7a2OH1VadKNb0QrB2X275KYQQSEkGblDK4CiDqzQVV7DUrfDJBzfz9edbvGnfGh962xr7dnSYGq+yvFal3fPp9twM2MoekSCMJXEiSBK71NvaLRtUOg4EHlQrmsl6zKbZLgkdjl2I+ZNHAk6eqzHuV7hlr8Pt+1s8dbTJV7/Z4LarArZu6PJHDwqU8GnUY9Y6IdqAEjDT6NJqe+ikwnvetMAnv1xl13zAu2/rEsXLPPLSFHEacOveWd59S4urtjT5+nNdDpyr8uIpj82TksmGoOoLPNfehFKAEAZtQGtDnGQ3a2wIY3sj9yPoRdDuC1ZDwUobhNPnxj1rfOg71njT3pSpRoXVVpVmu0K769Ppu3R6g5WgG0p6fejmN04/pR9q+pENdpNE8vgLa5yaf2B2bsX84ve+541meXntI1NT4/9jAPwTn/4o5+fW89E//toP1atrH75h8xPT68dX6YYVtI7p9hVCOBlrY4EtBFJIlHSQMkUpkS3PGlcZfMdQcQSrfcVyc4JPP1zjyZc73HH9Gh96+xo37moylVZIEp9uP6DTc+mFDlGsiBNJkkpSLdBG2CyoMPiephok+F6E54ZcWA659xnJ8fMep85PoLTPrg0e1+5Q3HxNC+Uv8tKJOpvGq1y3E9bPrLLSarBvkyTRhvuf9gm7kvFawt239vniIzFn5+rs2e1yaa3PKyddtqyb4Podizx2oM0TrwjCyOOaHZNcs8Xnms1tTlxa4fgFePpwlWMna1Qdge9Iar4hcEFKu+YZY2/WJIUogSgVdEJBqy9oxRDpBG36vO6qFh/6jhZv2peyYdKn3x9juRnQ7vh0+h7dnmPlSF/RCwW9vqQX2r7RfpjSj7KVIcpuoNDQDSFOJM8fbrISfn1288T5D+/eNJ4snPzix7/x/EXued+P//cL8Ee//mn+yW8+xD9+363f31m98GuyfXS85izjuQGJTqkEMWAyKaKQAqSUSEkGaoVSAkdpHJXiOgLP0XiuwXcNVS9lPBC0Q5fV1gSffbTBgy/2WTfR5YN3NrlmS59+r8N1Owxb1ivC2CVNFam2iSKBQUqN66ScmTecmhOs9TRfeKzKhaUJTOQyESg2TjlsW++wcxNct6uFlkv89hdrrKyMcds1DtftavL1FwUicZmdkNSqCd3YQxoJRqIcj2ZfML8i2Guq3Hlzm8efq7Bx2uO26yb5e9+5xMe+3ObpIzU6fZfltTo7NlbYs6HLrVe3ed+b21xcWeELj/ksd33OXHK5cMHDVQIpJQKBNoZUQ6wNaaKZmIrZv7dLGMZcsyXk/XeGzI4pJus+cRxwaTGg2/PohnaV6xXAlhbcoaAfkgE5Z+2UfpStEKGhF0E3FoSpIDKSY2dW+Mgnn5y+44bNv7Zn98b4tqu/8YmP/N6n+NEf/m/nl/83A/iv//Yn+c6f3S8++/PdDxw+cfF3HnrmSPUHvqPJZEPQjxMqfpTFlAYhQUqDkAYpFVJKlJQZuCWOEjiOwHVSPEfguZrANVRiQzUyjAUpExVBN5K0oxqnztf45U9Mgk4QScLN+7vsWB+RJKCNxhibxJFCIJXAcT2OnPU4dDygFjjUPcl0VTAzJZmddNg4o9i2IWXPtjVSscx//FyDM2fHue1ql2u2p/SSNt98yWe84jI1ZhivR1QrVgppLWn2FSsdw3Izpdmp8Mbr1njmUJfDZxXjjYBb947z4+9Z5tc/D88dr9HpGdbaDvMrDdZPV5md6LNtqs//9oEujWqTA6fgyDmJ6xqUMgihAWP/ZyBJYPv6lDv2JaSxS5z4GFOlH7nMLXn0Qrui9SNVyLdeJOiHgn5kWTuMbFY2DDVhpOlHOpM+ppAn3VjQiwTtWNDTgm7osdRv0ggOjp864/zO3PJ3JH/vh2769Ouu/ZS56fb/NiD/bwLwP/nsJxifqqn/9NNP3nPw6LmPi/SFYOuGiH66xlhdoHoBQhgo3BGDkk4WSBqUUpnelriO1ZyeqwhdSRhp/CgljA2VWBPGmigyNBIIY02YQJQI+rEkTH3iNODw8RovHobUGCy0rTZ2JXjK1nzUfbhuAzQqMFaTTNQVU+MOs5OwdX3Ihpk1YrPCf/zcGCdOjnHTTsXOzZJdm1d56JWE+eUxbt4hmWhoAq+HL32MEiSpRBhDkkasdgLml11uuqbCDVe3eey5gHUTgmpQ56arNT99zzK/9nnNKxfqrHU0a23F4qrD9HiNiUaFicYYjWrMTC1m200RvpvgOglKpUhhgwmDvaniWLGw6BAnijhRRLEijLPnSBLGkjCS9CNJGAkboEaCMDKEkT2vYZQS5YwdGcLY6vp+LOjH0MnAvRZLOpFGhz3GaytcahqOnHq5+pab+PiX/vwxPbmu8rn77//99J3v/MG/+QB/8Ct/wvR4oA6eWn7/xblzv9dcORX82ZOTrPWbnLoUcvX2Fnu3ZBdFapTQFuBKFwB3lcFVCtcxuJHEc4W9CK4g9BRRbIEex4YoSa0rkpSOFJLUkKaaVGP1tqYAtxCgJDgSXBd8RxD4gqovqVUVY1XJxJhgdjJh2/ou9doan3s84pGXJllbarB/q2LbBpertvRJxRr3P12l5jrMTCjq1T4vnYCDJx32bTF0Q8X1V8Xs32WYu5SyuOrR61d55y1tvnGgx7ELilpF4nsN9u3U/OsfWubhV3p88eFplluGbbMpq02H8YZirOZSr7rUKobA1/iexndSHGWllsxaK43BJqy0INGSJBUkiSBOJFEiiGNJGFvnJYoFUWyIIgjjlCjWRCXiCOP8yFyaWNCLLXu3IslaAr0wRsZdbt6+yvfctcrNVwlWb6rw6a8fDwI//oN+vPOHV7ubPvMHf/z59O9+33v/ZgP8ucNGStH83rB37r/c++jJwK3CUtfnwvI0Zy56tDoO77+zxQfe1mGikdCWVZTUOMqzQaST4jkOruvgR4q+m7GNK4k8QRQLe3FiRZxAFEvrICQD2y9JNWlq3YXUZE5J5pbk7oySVvZ4jsD3JIEvqVUEjaphvK5ZNxkyM9EmMWt8+huSj315itkgYP9WwdYNLts3arZtWOVz3zSsrARcs14x0YB6NWb+tGRh1cfbAWEsmBmTjI/DsVOG1ZZmbingqu0Bb725zb2PBkzVwfc8lBxn3y7BT7x7AVcu8OePTXDwQsC6VszseMJYTVGvKKoVScV38D3wXXAc6zBJAVKUQI69sVMNaSpIUjKgQ5waogTiOLWkEGui/DnWRDGESe7KWHD3EkE/FnRiQSsRtCNDFEaM+S2+553LfODODm+/CXr9BmliuOOGNVxxJFha835n/1XKqVXcP8byzN9MgL/y/J+SpvqHHnr8+L979uXTjfm1gIVzCi0M1Yqi59S5/ynFN18OuLS6zD98X4/JRkLfr9DqBjjKw3Vce0QpkevgxYowlkSuTaVbxhGWiTJWShKIU0hT6yRobQMurU3ew5mB2wLcanuB61iABD5UA029kjBeT5gZ7zE9scbjhyP+4KsVjpwaZ/uYy671sHm9x+Z1sGdri27S4qlDDSrKZWZCMV6H8XrIxFiC5zkIYW+uXuix0opZ6xqanYSFVY+t6+u8/poFvvp0lyMXGlT9GFd5CDHGrk2Kv/v2JV63Z4E/+Gqdp14eZ7njMNtIGK8mVANJJVD4rsB3Ja5rYxWlyOxDi3KD7WHVmgLoSaqz1S2zFhNNklpwJzFEiRkcsXVl+hmwu7GgnQjaCfT7CTruM1Vt8Q++e4X/z/d1qPoezVaVfuRR8TW3XCVZbsLCkaONp15I/mN98lrv9/7ocx/74R+4528ewJtrHaSUP/apP/3ML75y/PhUrCU6gZlqSpQKeiko4dCVVdZCh3/3KZdDJ1Z5z5s73Hljm3XTEe1WhV7o47kJvucSRg5+bO29yLMAj2NJlNhlN04yTzsls/7ImFuiDQNw2yRlxtzgKJsw8VxD4GkqQUI9SJhohGyYbjHf7PIbX3C5/5lJVlZr7J4RbJ0VbJr12Dwr2LGxj+Ot8clHHE6eq3H1OslEXTJWS5Ey5MKiwXckUoAxgih22Dbb4mlSWl3Fasswv1Lh6s0B77uzyWe+7nF63sd1YoRw0aZGnEhu3rHKtu9rcf9zXf7o/kmePV1j04RgupZSC1ICT+C7As+1sYqjsIGzFEVNhsHeZNpgnZbUAj4HeZJaSWfBDlFqa12iPHmUCHoJtBNJJ4ZurEm7IZunW7zlpjW+681d3nWLxhFVVtcCwthmV+PEIUkkriMJvIjmyqGprbPbPnzHmz+gPtDu/G6t/l8n4/lfBeDt9ipS8vcunvnaL3ZXD84uLHqstWAssEzqSnCkwZUCT0raMqAZOXzyoYCHD7S56ZoW3/f2Lu++rcnUuE+v79MLPXzXJUpcotgpAqUkUcSpJEkkcSpIEkmaClItBlpbCwpVYshsSJssUlmyyHM1vpdS8RPqlZDp8Q69uMfXXzL8yUNjPPXyOBOey75Nhg2TknVTHhtnJJvXRezctMqB0z2+8I0ZxpTDzJigURM0qjHNbsqXvxlQ96z9qQ30Qof33BHypSdtTUyzo1lYddg8W+e9b+jw1OE2h4551PwEJYUFua7Sj6zW/7tvbXL1hgU++XCLJw6Oc3a1wvqGYCwwVD1N4Gg8FxwlUJIsQWa/d15+pDOppvVghUsyoFuCgDgVxGkG7FTQTwTdRNBOIYw0SRRRq3R57ztW+L63t7jp6pR1kw69Xo1W2yNKPKI4v14OcSJJtWR6DLRWfO0bR2YvtR7+xff/7bfoZrP50bGxb/9YuW8rwC/MrRGoLlrLH3zwkW/+24cefWBqqrrKeLVOp2toBNrqvBScFNwkcy6koCNduq7ifMvj4pNVnnypw2f2t3n/W3vcfUefyXGPKPQJE7dghDgDepIqkjRL2KQDgGuTMbce1JQJYbKg0tZxOI7Gc1N8L6biR9QrPVJ6fO05ySceHOflU2OI2Gf7hGHDuGF6XDEz6bF+WrJxJmbr+hbnFtv85hdrJGGFzZsF43WHRg0a1RjhRrR6NcbrBiEExthEyKSvSHRCO/Zod1NWW4oLixX27qzzk397jQ//sc+ZxRqOirMbwyFJAvqRZP2Uz827W+zf2eGVMxf4k4cqfPXZcS42K9R8Rd2DmmvwHIOrLJkomUmy0vXSgNH2pku1IDWQpML656kgSslWW7vi9hJDkiToOGQq6PHOt63xwbe1edO+mLGKQ5TUWG36hJFHHDtEiT3y62RXW0UUO7S6irXWBZpz988efMn7t7v33JKcOTf3+1s3BAjn25f1/LYCvNvtkQa173rlhad+/cyx+xuECc+cqgGawAOBsCn2xKASgSMNTmqZ3FeCSiroKp9u4rIQBvz5kzUeebnLrQ90+Eff3ebarS1mxxWNqkMUe0SJS5IMQJ7mANcSbSTGWElgioAyS/UrY5NFToLvJbgqotWLWWzF/OrnAk4tTPDcoXGM9piqCGanDdNjgqmGYmrcZd2UZP1UwqaZLlPjq9z/vObZg+Ps3yyYqEvqVUmjqqlVIoQb4vsOjrK/3xhIU0kvdOj1YxItaPc07Y5hpeUyt9zg9j0dXr93jU8+EFBZUTgytoA0DknqEcW2x3N6POB1uzq8bneHp99ykTOLkj/46jgLa1XOL/t4SlJzBV4uw6QNPAsiz6UKlskTI0g0xFoQptBPINIG0gSSGKlCNk702L/NXo9brk1pVBySpEaz7RPGHkniFIxtA38nk47W7YoSa0tONgxv3F/jyKmYP/7sfVPf/4H012+44bbVsN/9wrcTk982gH/p8SPs3rFe/cZHPrX76PGXGugLjNUmmWw4dHoJSQrGM4hEoIS1/5zELqOONHipIUgFVSXoKUHX8emlLstRha8+O8bjB3vU/JAffleTzVMJ2zf2uP26No6wLWJCWLlis5K2VtqYEnNjE0dKWM/ckIBMeOWU5JnDDvc+VeeVs3WipErdUcxUDJM1w0TVWB+84TA55jA1Llg/mbBxpseGmVUeeTnkt++dZcO4w0wDGjVFoyaoVxMqfsjjRxX9yMGtWVAZI4gSSeAobry6x5MvjdvCp17KWstlac1nfmmCn3z3POeXlnnyhRlcCYgYDRmAXMJI0uk5TNQDxhs1Xn91l7fs7/J9dy1y+JzmS08FPHW4wtGTNRLhEIaKbqxQQiKEGAk8s5yA0STaYLTGFSljXkRAzOtv6rBjQ5/N0zEfujuk4klqFZcoqtJsu8TZimoJRxVeuz3k0BHFuZQUtLsOYdrH905z6OWvN7rN+d133Pl9yoTPpcK/+a8PwKPmi7iNMe/p5x//kXq1++8aqsULJydxJUzUNJ5rrbi8GlBJgUqygqbU4Ei7NHqpwU8NgRJUU0GooZ+69FKXbhrQbqf8209OYJKYdTN99m7tMzWW8P639tg6GxHHItPbEkrMTaY/pdQIKfjswxUOnKghHIczF6tcmK8SVBRjvmC8ZqVUI4B6RTBWVTTqiom6w9Q4TI8nrJvqs2m2RWrW+Ow3GvQ6Na7abGhUFfWqpF7R1IME1424/8mAsCtxZ23pWC5RahXFO2/t8ejzmk4o6fRSWl2HtbbD3HKVa3fUef+bWjz3SpUzK3WU1ECc6WWXOLVuUj+SdPoOzY5HvVKlVgm5dnOf2/b0ObfQ5PSlNRw35cWTDp95qIpQtnCN0fmDRgMajCGOUratS/jgW3tMN1L2bDOsm4I0cQmjOknistpySWJFnDpZHGQBnQPcxkSy8NuL12le3GYxcf0uiZLTHDjUxq+3/93zLz7effn8TR+77+HD0bvuvOavB8CfeeU8vr909fyFs79x9shj0lM1rtrk0u6kwCDAkVlCxR4GpQVpYnC19WHddAD0QBsb5GhDlApCLQlTSaRdYg2LnQYPHdAYUv7sKTuyAaOzI8/iZRaZyCsSJVIpkthBagfXkdR92DFjqLmaqq+p+lD1BbWKpF6xcmisLplowNRYwsxEyMaZNimr/OqfBjz20iy7pmCimrF3VVKvJFQrEbVqj0qliq8kSmYaHCsH4til3xP0wpR2qOj0Ne2eti1zNY/z82O8cW/IT39gnl/5jMPZNR8hNMbE6NQQJy5RLOmHtoy13nOoBR7VSkDVrxL4MfVKxM1XRXhuzC1XJXzobV0clWRJIJ1lj8sgtyuM1hIhJL6rAI9+6LC86ti6nTSPeTJZmIM3taBOioB/4GzliaUkLR/2dy2t+bQ6gn4U88AjB+RtXf83Nm3sfCPshi9/O7D5/xjgLz/z+6yfCStPvXTsnudePCmSpEqrZ5M01QqZDWWQ2pBKkaXeDU4WqafKPjtZ9J5XwaVakGgziOy11Yf2EERakhhJqh1i7ZNmtlf5UWQpBThC2EylgqBiCBxDoFJ8F3wHAs9Q8QUVT1KtSKqBYwFeE4zXNZONhKnxkNnJDhtnl/ntezV/9NV1bBlXTNc1jZqiXlXUqlCtpNQrMZeWNScu+QSevaEhr/QT9COHHes166f7tPoevb7JWFyy1naoVwLq1XE+9LYFTl6a43e+sAlHOhg0qU5JtCFOHMJI0YtsUVQ3kFT7DhXfpeKnNNs2xvDcFNdJcd0UR9pGCSltOl9khy1dEYDIQC5o6qzKUtu4Jk0lWksSPYh3LFgHr9M0kyDp5cAukktZIJtqkbk1MFF3abY1J44+JVaa193jj+098esf+2zvH/7Id7+2AN80W/UWllv/9OK51X/ab4ey6leok9VcCEGaGlKtUakhlYZUgUoFqbLyJNHWUUnTLMOmIdEm+3eUDjNIs2eVctbLFUWgVNbcQJbJs4GVIzWOJKtpAVcJXMdY39gRBL4k8CQVX1EJFPWKpF41jNVSxusJk42Q6YkuW9ct89TRkE8+vJGJwGddXdOoCgvuiqQWaGpBQr0a8tQRePFwld0zJtO9g7R5L1Tcssdw1dYeT788Tjc09PopnZ6TgdylGlSoBON8z5tXePHoAk8eWg9GoXVqiSAxJLEp6kl6oUO1b6gEisDT+J6L76X4jsZxUlzHlhjnZRBS2tJghEEw0HOD4NyWEOvckdK5/VqyYjPXKtEZiLUkTSwZpekwa6epJac0u96JtoVgaWropZBohyTWsrm88n+q3iUPVfsFIHrNAH5hridXw+7PP/TM7/4vMjnrNapjpNruNRMnApWKLIEgMnBb4Cql7c+UwSnAbBto0zSvFcmzj1h2zkCus0xcnqwwxlDKvA+tuHmqWhayKMtYKkpFWzb753uKwFdUfEG1IqhXDI1qylgtYbweMjXWY+PMKk8e6fHzv7eOs+fH2TmtGa9Co6KoVRS1AGqBLfv13D7NvkFJhasMUg4+mWUuSZx4NCox3UTTzeqsu/2UdlfSrCiqbZ/Ar7N9fcy//pEm//Ljkm8eWodBoY0mTTVJmhAlmihW9CNFz5dUQkXgSXzP4HsK39G4rvX7HZXV+aisqC2TKUKY4QbdLLVvMhIxWS1LmgE+1YNne81kUQJgAZ9ZjyPATkpklnvuaapJEmvfdrqKw2fOenff6f4fP/ihH3F/9h+1f06I+l85nf9XBrgxS2jd/oUHHnjwH3/yvvPBLXtC7r6lyekLEzQ7WX1HYkGVSkGSgTuVxp4YZTJAG3T+egTYuvBowWhju8izEtDywQjAB80SGbiF/RxKWbvMyVrRXEfie3YAUODbkQwV31ALNPVqSqMaM1aPmGz02DizxpOHu/zLj01z5Owk2yatw1KvSGpVadm7YqgGKdUgJk4j/vCBOlIpXGlQYmATapMv4S5/9x2rfOXZiHbk080A3ukp2h1F03cIPB/fbbBnS8K/+dFl/sXHBE+8vA5tJKm2afU4sYVmYaQJA1vu6vuCwBX4ns1seo4pMraO0khlvXEpTGYAGEp5oOKEapM5LVpkbksWyOcAzqYO6CK5loG8WHlFCdAMsqY6L6Ww4E4STaurOb6Y8vbbeuyYOhrc//VH/sn+G98hTlxo/+yuTX+16Vl/ZYC/8NIpjDGvP3PixcrejYpLc+McPGGyqVE2F26zhfaLqdQCPXVMocstuHP5YX+mi1qJQfuVBbqwdRQ5qPMTP/K5coDnNRh5Ji9nb8fJ604kritt/YYnCHw786Tqp9QqFtyNWsR4o8fMeJOnDnf5+Y9O8sqZaTZPCKZqJWkSONQCW79SCWxtu+uGXFiewFUCJXVmyw2CzDSVJIliw4QhSWJacZB1ytgex3ZfUukqAs/FcwNcZ4xrNif8m7+3yD/7CDx5cJZUSwvw1BAnacbkmtDXBJGk76lCgrkuuI6VaLZOxbpXMvfGs+crYNzKFbKkEKJIDuksOZRni9O09POyvMzlZ1YWkBObre7MCuISezWv2+awdXKcZ18RrIQHKlft2PF6IQV/1cdfCeCf+fyX6LZ19fc/92Vv97pLvPUWn3Pz1UxzmazT2wIrTS3IUpV90QzoWhtSZxCEDgM7lyGmALrJ5Uj++lU+mxSlVjcJUooC3ErKrFEilycQuOB7mkpgqPhWP1crMY1qxHitx/REk2eP9fkXvzvBS2dm2DiumKlpxiqCeiCpBopqRVAJ7M1hU/0RTx4SdPoegSK7yawGz5sQUi2IE4daoLj9ujZPvdKgG1uZ0gtTuj1F21f4nsJzvUw/j3PtFs0v/fgCP/Nb8MShWWItibXOmqUHPZihJ/E9bdnbHdTROyo/yGTKQMbJLMt7JZDnSSGTAzwDfFo4L4MCrvLKqzPjQGtTEFlBcCWwa20s8SB47qDgzGLKrq1nOXXwk97V132o+vzT93dvuvWd//UB/uwr55jdsHn8ofs/+5tJN3zz5x8V/PC7Omzf4LDadi0wtT1pibauSbFsSSxjF0saaCWuzNolQOsC2IOmYDLtXVwMYQuKhCz1cWbgtgC3bW+uY5nMc7GdQF5WYOWnVDJ5Ua+EjNV7TNRbvHA85F/87gQvnp5l/bjDTFUzVoFaIKhVFNWKolqwd0rgJ9SrfR550WOtGTAxMUiT54DRmTaNU8XslOJtN3R45Bltu2giXQK5JHAlgevgOh6OU0FKzbVbDL/44wv8zG8ZnjgyS6wd4qwC0Ja9Wib3Y1lUF3qOxHGyIiwpUE5+big+X34T5lJF5FVpDBJCo4cuPWtdei5W3tJqba4EbLu3ks7+P8J2wlrH0JiK+Vt3hPT78s1zlw5/5M1vfc9P9VrH1yqN3f91Ab66fI5Wc+5n+t2T37t7fZNANnj5mOGOfeC7NnjUBpS2R+F8qFLQqAValXV2BvYsOZOz91AgOcrcGdLzjFyhvWVeQTfQ3XnFoKOw9RmOwXVtY3HgaQIvpRIkVIOYWhBSr/aZHGvy3NGQf/pb07xwch2z4y6z1ZSxqsnAnbF3IKn4lv0DP6HqRyQ6pB35CCVxcwYvNLjI2C3zi2OXmte35QJRwEQO8n5K17MM7nsS13FwnXwDWsO+7YYP/9Q8//t/0TxxeB2xdmwvZKozFhcEscZ3DZ5re1edLO5wlC0Rtm2A9jxZmSJKK6A9q8WNWY51RsBdkFCJmMrgzsFemAQpAycsY/X8uqfajsi7eZvLwWPrOHa2xTXXHP3ebTtePhFF0T/7r8rgc3NzrFu3btv/9au/tX/MOcKt+xJ2ro4TRQqMxlUaJXNbyQyCEG2yjhLL3kNBZBakmDyYNINAbMAUg6ykKa+ZOWuXg8p8uc06dFQWTDlO1hmUFSHl1YOBm2a6OaYShEw0uozV2jx5KOFnf3ua50+uY2bMYaaSMhYY6hm4K4G1E3NwV/yUwEto1CIOnTY8/FwNT0pcpbMgbqAj8+U7ThWJdrjz5pjdOzucOFthpsqgzzFM6fYzFnYUjuMWXU5CGK7bBr/0E0v8s9/SfOOVGfpxxSbDEkM1q+H2XSzInXz10plEkUiVFiuckqIEcFECOZfplQHIzTDAzUBW5j+70so8YPfhWv0cB1IKnj8sCZOY+WaCrJ7j1PGn9t9yx9/fdv7c+TObt2z+9gP80NF5Wr3x7fMvPv4fpG5911eehL3vX2HPNsP8So04loUWS40cBB6FvTQA+dBSVjB2bkdly/ioS3KZW5Ix9yi4hUGqUrZUZvNTMub2HI3ranxX43sJgZcQ+BHVIGRyrMtqu8ujL8MvfWI9B45PM52Be7xiqFcEtUAUXrl1XrRlb88CvOKHRGlKvxcQKHuTSSGGKvnyRIoNNB2r5Z2QMDL0YlECuMbzUjzXwXUljlIo6RYAR8D1OwS/9FOr/Ns/Tnji8BQXmw36Ncl4aqgnhiCbOOC7JvP+cyfFFOydS5Uc4MXnzT50GeeFQswuymBlLZXflsFu8opFUxBYGeBpGeyl1XstSZhrwvhkyOuv0pw5v/Zd/ivfTG+/7YZ/kvYvnVbBhm8vwOcXT6Cc6m3LFw/cc/XkASr7JxGmiusm1CsxoVKD+SIZY+fgLiRIbillQLfLtclOgBicGK4M7lFVmF8EO+4hZ2+TyRNTGg5ky2JdR2djJtIC3L6XgXuyw+Jqj1/8wypf+OYMS50JZsYkM0EG7sDq7moWWFZ8SdU3GYNb7R34ERDx4Aseq7HHlM9QPTZieIVKU9v80PAd3npTlyePRLRjn7FYZ13sGi+0teqeYwHuKIOSLkLaBA0Grtki+ZV/1OJLT/b4hY+u4/zSBL1xh3FPUE801QT82I5e9pQdaOTmgaYURRCcP5cD9fKNKUTRKzJg8eJalcBecrt0SWoOGHywYpd/nq/sSWq7hsIUlPZ48qWAV86d44fdl+/Zudn5w1a7f/rbyuDLaz0mx4KrvvbIN/7nJ597ibEg4vrda0zVA+LY9k0CNlupBTrrprHMLQvPNGdonUfdJpcnYkRzi2HWLsuS7ETnzJKnm3MXQOUAV8aW42bZO9fJ+jvdFM9NCLwY34upV3o4TpdHXkz5yJcb3PvYLJFuMNsQTAdWllgLMPfJVXaIjLnL7B3jOCGPHxynGzlsqOafZ5TB89XNlpEGruL11/ZItAV4Lxb0czcksiPXXCe3OFUGRJt9tGATTI8LvveuDnX/Ih/9co9HD04xF1foBpJGYqg5xoLcyeIQZbK4JCt+k/k5FIPacQmSAYuXdxQsX5KCzUdW3vI1HTD5gOVHV/Fcvsap7RP1lWB5zefg+ZA9u0LmL73CA187RZz85fM+fyHATXqI3/nEg4yPNTZ2Vo++RSYph8422LurQ60q6YUS18k70/OspS6xtylsMa1FIWOKgDLX2gy09gDYJeuhbF8JMyJN8qycrRi0o910VvOdgVvZWgzfjfG8mMCNqFb7eF6XT3zV4Zd/f5YTi5O4fsD6umDST2n4hpoPtazDvuLbbGeQJYRs/UqarQRWniy1UjqRh6cUnjRFgEnpq+Q3dprVbESJS8Xts368x1q3Ti8WxWgGz9W4bprZfCqzO5UF+FDgaisfv+tNHW7Zu8gv/UGfP7p/hpWkRtd3qbmShmNrcHwHPEXRDOHkSZ9s5ZOFVBkkgMqkMixWrsTmXAHsJQYvuy+6DG4x6CzSgsRAL4R1Tsr12w3HT/dYNzHzL99869ZDzz7yH16Kxu/hjht2/D8DeJJofvxD+7cvXDz4288+/gxT1ybcWUtZP2UHYnqOIdGmAJqSZWki0UYXIwuK2oZca5tBgGkog7tU6lp6iGLabG4HmoHuzmeoSDt2YsDcaQbyBM+xksT3Qny3x+n5hN/5Uo3Pf2OKk/MTNKoukwFM+Cl132Sp9xzcMgO3LJJCQaa9fc/eOI1ayOcedzh2pkKQTeAq2sUYoLwY42Cy4qTE4Zpt8J23tPnIfVN0qg6N2NCPDX6UxQ1K4zgym/BFCeRuiY3sqrB1WvKzP9Bl/47z/Na9k5ycG2MlqdB1HWpKUM2A7kljb5zMZSpWv/y85vYhVp8PMp3Daf2Sc1swebEaU5ZlI0xuyqt5lu00eaGdLcrSAk5dDPjkVzwC13ByZXV/Zf1bPn393ne+K2y1/0Kp8i0BrnWEEC6HDz6z+ennzuz6+Oe6VKp9vudtHbZtEHiOizG2W1wJQyqtBldZyaX1N0WW5hXFF8qDrMIhydm6ZAOa7IKRM3YOcjEAtn0uDwvSmWuSs3eK6yS2c8dJ8P0QzwlppxG/8WmPj35pPReWx9GqwuSYYtIzjHmaasbc1SJ9L7M6lUyaZN55AW7PZi/DOOLYeZ9O5DPhZy5OMV+RItFTTvYkqSSOHRo1hx2bI5Tfpx3V6XmCSmwIc4A7aZaoUdbHlnkJ8JWCV8XMWJef/K4u99w5x0e/1OJ3PjvFUq9GzwkIHEXVEVSUwU+MZXNpycmRg/KGPMt5GZMzLFcKcP8l2DwHdP6zgTwZuGxJ9j7W0EkkSsRcv36VD721i9YrqP6RXf212uY7brrpdBhG+L73VwP4yvIC1WptxnHdTx89/LI7Wx9nfq3BR+8NmJ1Y5sZdqfW9pUFrjdQSZXI3xcoUUzB26XVJnlBi7zyIvPxhSnagKYA9JE9kViWnUgtwJ8VRKZ4bE3gRnhvR7Ec8fkDyia82+Ow3puindTzPY8oTjHuammeo+oaqNwB34Et8X+Jn0sQmhjJnIgO459rM56lLhkefrRLFLn7NXBZgFsRRaHBLBFGscF2Ht93S5pNf63DkfI1eYOe9hK7BS8CNNW6kUUpa31ragaTFcB8GK2KqJYmWVH2HdeM9/vfv6XLt1pA/+mqdZw6Nsdir0VcerusQOIKKBD8fsJTbq9JkQ08pgXy4KOuyXb6HCKosPUsszrA8SQvio6g1SrL2udTY6Vo3b+vx4+9KkOkm5ldcTp942b3q6ts+vbLauqHT7Sz+lRnccSbl8eNHb3vh+YfGNkyFXLs9YHnNYXqiwqapClEc4TgpxugSM0tbeZa3jekBqAcBZXbkwB4CeXbyiv/Y0yVzJi9Syroo97S62+Co1AJcpYUccZyYZifmsZcFv3dfg68+N8ZKs46sBNQrinHX0PA0VddQ9QwVj4y1LXNXfEngKQJPEHhkFXo6A7fGd63+Vk7I0fNwoRnYxEqmb4cTJ4P6GdsHKbLlWBJFDusagqu29HjpbEI3dgmzGd9eRDbdK5+smydqQI505gxcqrw229aHf/BtPe6+dZWvP9/m4/c3eOZQg+V2lab06HgOnhJ4UuBLbA+ntLvUKTG4SZXIyn5fDeCvwujlfIYugbwMam0s2JPsdf7sOoZLCzU++vka0w2XpaZhrNbjiccfGvOdt9521e6r7+NbDA/6lgBfW7voa6P/y7Mvn6lJp81bNja5bqfEc8H3UoTQONJkHqjIGn0FRsuB1i7VFZMtoTAiTRgsbUOPIYvKDBXoW1miM82tUTK1A/FzN0PGLLYTHnnW4cuP1fnCo2MstGqIIMCtuzQcGHNtJ0/FJZMdUPFEdsis5DTT3Z7Az9k7B7iT4HkJgRdhTMyDz/mcuVRhelLgSp3pWDFo9C0z3VC5qaIXumxbJ3jbTV0+/82ITuzSiwWBa/ASy+JhbEqrlCr8aoQckin2kINGBW399oof8sG7enzHLcv82TfafOmxKo8cqLPQrNITHj3PwXEVjhC4UuBKiStMJrUMClGShrwq0MuaPL+umlKugxzQFtRp9joxlrk1FFWjroRmX/L0SUPF6bN1Q8j1W3uI5Ggt1W/+L2fPX7gW6P2VAP7K0UOsNrs8e7RPp1Pj6cNd3nFrk/e8vs+GafvBcotjIEWkHfiYn+hsNLG9g2XJLSkD/XJkDwWUJWALobNgViMygDtOiufEBEFMP0w5cgFOX1T8yQNj3PdMg4XVGrgBTsOlqiR111B3NBXXUHEhcC24A9fOJLRlprJ0iOzPTQZyXYDcc2172omLmpdO+eC6xdyXQYpeDKGgHIQV9dOpHee8b0fI3s0dDl+o0gsE1UTgx4ZQkVl7OmPv3E3JLciBVil89syK1Fpl0wdc+pFLpRLyQ+8Mec/ta3zl2Q6f+lqV0xcDDl+oEq35JL5D33GQKpvqCzjZc87khXRhEPxficWL652zNiVZAgW47Xubyh/M1rP9Af3I0Bjv8a7bW7zrZkMjGGN5tcXcxSPjr3v9d31/p6s/UqtKrvR4VYA/f+iSCMPe//zoU380vW+7Q6/t8fJZn1/+A4eJyhluvKZDt+uSarsTw4A1cukhS+w9GOGQ3ww5uPMTMQTvPFIvNJ8ZTJ4VOtvlIcX37dDOJE2ZW4YHHnI4cb7Cw09VuLBa4cTFGvg+quoQOIqaY6g52roIrh2cH7h2XJsFcX7I7FAZwMk0dwZuN8V3LXvbGyvi1CIcOl3FlcP2YCFRGNSDFw5DkQTLexpd9m7rcdVsl5dPJnQTl3osCB3wEjsTUJUALqVASDnE5DAcvBUyKO+bTBVx6hK6Ho1KxN99R8ib9re4sNriwac9Tp7z+cpzVS4uB6Q9Fy0dYk8hpLQrRdaVL8kynjAkWy7r8Szd0Lk0KzxyyKaNZdZKqfG5eK019BLufvcyP/cDhoNHt/HS0QbtXo8NyaHxN8g7f9oR3kfhyuHbqwJ86ewDpGn6vbP+Qu3mG+02erftj3nqSJuLK5qj5zQ7tvYItCSNM9bWKnNH5ECuFFo7CyiNHAJ3flZMdkYKn3uIuUtSRKW4fkqcGk6eE7x0UvHAU1VePuVx8FSFVugTRj64Hqrh4itBVUHV0VRKPrDv5HUaedmsrQv3M1nieQrPk9kNYAba201tZtG1Oj/wYoyOmF+RhMbHcSSeNDglm22EwAuQp2a43zFKXAQOM5MRUvXpxC5dR1inIx4UjDlZzc8g81g22mWprFUOmLw0GMlNVTF+oht6rJ+I2Lou5uadIb2oxw+favLyaY8Hngx46VTAybMBcaLAVxipQEhSWcoGlZP5o/7hUB1LiZ2NGYAZPQzoHOCxxiFl+7aQLdM9Pv3QBE+94NPrpbR7HtvmVkjdryPVq2/YfUWAf/2hr9DrNtXJE8+LF0622bGpyb4tdqbc7u2r/Mofenz96Slu2Btx9y0hb73JDq93nYRKzWSTpCRoQRLbOSWDQHJQ+D90NowFNNn8Etcxdlc1aYgjQ7dvGf30eckff9WnGyteOBhw/JzPUscjTD1wPFAuqqHwpKCioKoMgcKOM1NZ4ZGyrO25wiY9yuB2JV4mS3wPfI/MNbEpc9fReG6SZURjKkHEwmrKA0/UabZ9JsYETubF50Vf4tWWb10KCLUkDBXTU4q7b+/zlWd6nG3W6LnSyhQH3MTgxrlnnXnsMrV2IeVZJ7L4Hdo4pd9hge6litRRJK4d+xDHrrVS3ZiaF/OmfQmvvzbkvW/pc/Sc5MVDLr1I8UcPVDk154KQdHsOaaTy8k2Mky+9I5ZROX1b2CyZT2g0IjUIbTDZNIRKLcF1NQLNW28KecfrQm7YG9LsST78ccnp+ZDAkexc32HfLsPc3Alxw95r1Dce/VLypjf/rb8cwI0BvzL2G6+cNNefPOPyb8+N001i+okkDGe4MCfp9QVPH0r5zNcTZiZijDbcdHXEB9/ez7o1YGZMc+O+iFqQ3aBGFDmwy6+5KIbzNLuCFw84LLcklUDy1CGXL34joB8r+rHi0pyHFg6xcdHCBcdB+A6OlHhKEEhDkAHbVwZfGVsD7mSerzNgbi/vyyzArbIeTVGwt+dqPC8v0EoL9va8GKUiHnpe8flv1lGeY+22If396gyee+Fp0Y2u6Pdd3nNHjy883uKPHhyjkwTUMh3u5jo8zpMypugWEkIWALO/Spa0fgngOhvt4Fgmdx1F4jg4SWqBrlKUsoP0J4KEO/Yk3L4nxoiQ99/VpR/bcW5//g2fpw95VHzBUkvx4ssera7MVJK44hUeJAGsNKkFmhtvjJkeT21teKr54Nv73HhVjNEwM26YnDA4wu7qtvOfLNLut+hFVaJ+nSSusNJZvn68XvsNBD/5l2Lwc5e6TE9XGvd9+c/2aB2rXRs8lpsuZ5d8FtYESz1DKmLwE0KdMN9MmV+1y8vRs5ovPmSXG5MaxiY0t10fUa/YEsorpifLt3rmOqx1FM+85NFqKqQj7UwU41hmEo7tg5MOSAcpJa4UFszS4EuNJy0QPAWeGszosyAXg4YHxzYC5I3HZXBbhs/Kat2cwdPSkeA7McZEXFjyiMIAf0ziZWlvlVXlDWUxBQNdWrhMFMyaakUUu0zUFVumIzzRp5f49BJBxbFDMPMakjyhpWS5vFUWv8v+jkFOYjAEP2v4LkmjJEmzvIHK9j9KiJMUFdtcgqNSpEzYPK2zFUNz7dY+kekhHU2zKXjmJYe1rkQVimU4qB660lkdSi3QvP76mLEJjUmsy1ZRoGz5HFor0ljR0wqdOqybcAk6deaWxphfqzG3IqlUtIqT/p4777qnYUyrJUTjWwM87s8xf8n5MOHBu97/pgXmlsc5fUlRPRETJZpYK9ZiO7oAk4JOCv2UGEPTZPvDKE1rzXDpoVrpK14J4OXUWHZxhEDnWy6Q1ZwKNQhypMysrBzUWdpZkm3cmvvGpWcn66RXZFvvUYDbtnUpvAzcnkNRYmoZPGNxR+Nl2VHXjfH9mHNLmj/4Sg0cL5uWW0rwDIFvmMhyds2HhFqw2cE6Uezyobt7/NkjPQ7O1+mkLtXEbkprqwDNoBNH5TmBUrCXn8t8pdCyVOCVH7qohXEchZvaeSluBnQlB0kzWzeevRY6GxyU4giDMCnTVc3feqMGkWYyExD5/hlXuOZFjZEArUhjh9x8SGJJXORQZHZuFEnq0A8DVpo1Dp9u8NIxyZn5hHPLEe8Nj9+1b/+5DydJ8vf/QgY/fexepJTeyXPnmR5rMzkWcdt0wKkFh4W2a/eyUYJIOBiTMWk5YMgBbgwoQ+qWwH1FfOfslgN8OHgRUhYtaEqAK2xa2RdWCjiS0nPeVFsqJHIozUEh25lt0FU/ALgsZIvvmaKlzfN0aXBOgpuxt+fESBlxZk6w2AoQjoMvGZInsvy1Spe7LB2GgJc5HVHiMtUI2ba+x+G5kF7q0E/BTwVuanCTTIcnFM7SIIWuhjoVCh/ayFIXjShJI42TalIlUU6+fbnKitVSpNLZSqEH1mwGcpH/buyULJHVqee7UdvPk3/j4ZIC+7EGmexyjGaNiVLCMHOZjIGpsS6tPjx5NCAIItbPRnRbZ/jYpx/w7GZifwHAn3pxHikFLx1WPHd8iqmJDvt2Nnn2lM9Cf4KaL/Ayh8Ca8qooeM+11TBVfStZQtaVUyqsFwLJIEVsp1KBKwyuyECbSYD8dfGzjOwHpaAUDbaeEhbsQ+C2A9k9Lwd6Hnxm4M67fxxdSBTXsfrU82ISYr70eIX5xQrumMIr13CUHRRGFGk5dZ0P1iklffqhnWD77jd0ePxAn1YS0HUcKokmytLpSg4KovKCMyE0g86hgVtVLnTSOpupYiBV9nc6WpAogZPKbBc7W8uTZEAfJNN0kWCTUpcSb9lrWQZ3ZvMWHrkpGSrD5sIQwIvsthhy4rQRSGmoVdrccM0arbTGjTs0k5U6R87Ccu8kV3LChwB+6MBXaNQqb/zEnz92C7S4ajbg0Hmfbx5KiRD4nkKRSQFjRwikReo1N/Pth/+LKnaLy5AnCwSo/FkYHCisNpWljJXIu3QGr/O6CUeKYhRCGdjFHBSF7Ue8EsDzgDPX3U4uS0ymt4dryT03xnMj5pqa545XwPFwMnnilAqU8myfGEG4vYilqruiL1UWnngcu9y0O2RqvEdztUo3UVQVuIn9Lio19ojLAMeCvPhFcqRSU2R9kzZfoZWtF3K1IFWSVGlSJUgykJeL1/JyCJmDvATqvGRCoDOQk5U0DyZmDSRaifDKWewhFs9Wn4LNB49e6HH99oh9WxPOXJrl8KkGYZTQqHq3zG57xxs//YW3PvaB73rblQHe63dIkuhvTdR6N9554yoV1+Prz6V0nq/Qi+1Hybens+9M6c4bNvQNr6JITKkijRwEpgD6ABymYPDREk4nr43IasDzUk/bXJx3qlhZoorulQGw8+Zby96Z5nYo9HZuCVrGHoDbLaoTYwQx937D5/GX60jfwZPCzt8uKgjL81nKddSDy1wuH9bFDEBFqhW9vsvt1/X4zje1+Z1760SpTyeVBKkhTMhWrnLVn87knB65oV6NyUE7MmsZEwW4UyVRSltGlzIbLaFLpcjlGiAzAPlQtjln8nyRLpVgvUr9SjkvMlwyPQxwrSWrkUcYuzz+suKBZwATcfvN+sZZ0f5biPixKzL42XPnqdXqdz/80Fd/4MWDy8Q6JTIdTi17pNpQUQPAXl4LbEofrHQBr8DYeYBdVAcWS9nwFFrJoOahPNogZ+58qJAS+RaAg8lV+ZiIgsWzbhhXDYPbjlMYYe6sZ9PL2ttcJ284SEpHTETMpx5skBofVWQvywHmoK8xdzaGNDgj7Xpa2lEaaR5sOghcPvjWLn/4pZA1HdNLA3qpsDtjZCwupUEmoig6s3bh6PopS9ZkqXpP20FMWpsM3JrUsVN/nVSSKoNKbQWjzR7LojR5YFGWqzsHZcz5ThoDUI8yeZnNR+v/X6U+qZQ0cmTKtg2LvP02QT/0qXlLTPrtH7j9rrseXl46/5Wp6c3DAI/TmCju717udHadX+pz6mKdZjdFoAjUMBdfoUryL/0oyKXEbLIM9JHyzEKLj2jOwRjmwWwPpcRAi2cVd0PDbjJgO0oMnJTCDrQd97Yx2WTMPQgwnRJ7+27Ec8clxy4GGOWipMSTGme0TqMkwEddlPwoCv61KPnVFuRx4rJrY8zenR2+ebRCrDx6iSCQ4KYGJ99MQGRdOEmmw5FWLgz9yuEy5YE0GozyyOdDOkpn4M7a2ZQpgTuvBTJZmUDO5BSrhxCDMgvIJ2a9Onv/VR87N0p2bYRmR3Hg6Bw6nt8VhuHuOA6/kv+dAuDt1gqkPZaWQ1bXBDtnHdCKuVXNWtf2WpbvwNFy1uJOvMINMHyah/v7hpZyhpd1VdR8D2y3gWQRtnteDMBtg0xRdIs7BbjlEMDLw39stz0FsItsZcHcKZ5jEzu2KyjGEPOZB6ssL1cQvmN99/JNOFqDUr67SxZhkZUu1XEX3rRWxLHD9KTkA29r89zxBmEa0FUeldRq8bycVUkycOdrhc488bz6A0AOaVzrj5vSDVae5CtROl+RTPHaAlxm31MXbXN5l78Ucqhmf6h+fKiO/LIc/ggFcsU/y8s3DPYzNtsBc0s+Gs3UWBNHJiwsrpDEg+LCAuB+9/fQoeCNV4VsDByiWKJkyCMv9Xj0xZpdEq8w2msUwIZhAF/pow+5C+XnMqDLLD40XmzA2LLM4EqUWDyXKxLlDAPcc7IBQG6+dWCW4XQMbpGK19nrdOhwlO3cOXgGPv3VOqH0UFJl2cvhG3E0g/lqq17hpJTcFJ0xeJI6+KnDB97R5/fu63LgZIVYuXSlxEt15h4JZGpK58nY9jJRFok6+13D+xaVmTzV4BQWoh1trbKSAJWawbDOYi6LKG7opNRVNej8uRzgxexDYa6MDXFl021ApgPt7zkpr5zp8+hzHkpIumGDVnoc5c1lVnUJ4OcvzLFp47rqg/f9ux0mOsDkeJeFNY9unPDiuQqxhoprHYrRnbq+1SP/u6OgH6oW5PKU9uUSRRTAGR2HLEuMnQeZ+dQmx8k3ec20txoBd56+d/PGZG1nhhQtYnlPZ5IdMcqNOHbBoR15oJxMnpiR8tjRG3cY4cMDjUa88KwbZ5D4cai5gj2b+hw4FpFqn572CFJbs+1kGlwJu5GrTSzlbKmhMM/yiz6o9Mz7I51isOlgKlkqLeBVtjuF1IMJAfl0rTTv7i/1xhbALpyV4es9CvCBPv/WqCpuGmlwjMH3EvbuXOGJwxFx5LDUVyjX4c4b1+/4uf/1f6ou//t/2J2eXW8B3l6b42Sv/Q7lbfqZg0ef5f5nPB572UOLOoHrMR3YyjtZ3I1/SYAzzOSjMzYENp9TBsIA2IM+xsHsvEyalOZ4WJAzqJFWJVAXr7MkjyLzwi24LYAHQ4Hcsjwps7fK+jq9iJW25j/9aZ3lXoDwXStPpBlaVQaDc771qSocJ11qwi4YPMvgJQ6NqsM/eF+brz/XYDn0iKRDT0q8rIdyMPIhv0alenqhizJag87ArW0iZchZERmDmyJIL0bwSZExuJVEaeGiZAAf6d2UZfYuzsOA0MpyhSueoyvZGYN/l0iNNj6bJsf4//5IByljHn2pxhcfc9i+afpnjh459lin2/2zgsFbK8/iuj699kkuzAeYqM51m2zSprSF6hW7bq4U5I6ifCiwLP9shO3KwChvXjoKbBtkDuYPSjUYP6ZKoHakxMkkiVMAPNfcuggqXUcX4HadvP5imL1dFeN5EX/yoMsrJyogXaSU+HlpbMnaLPaIz77kq1YTwnDCxzAkUxIts02eXPbt6vJdb2rxe/cFaMenJz18KYqkj5KCWJQDumEmF2UmL3VTlWtitAJl7KqgjbDgzqeEaYotaOw1GMyiGQSZto9TyGGAl02EASauEHTmn320jmVk5w5jFN2+y2orACbQWqC0w3Q95KXDZ+hGkiiyG0M4AHFqC5fixHau7Nig6EeCKLYD2fuR3cA1H0RvTPY7v4V9MsTcxZcaBKqi1N93mWdcBJaiYPOy/fatAS4HAFelGmonq0txKaSIqwZuiVsaDjTQ3Ja9XcdOrVptav78oTpLTR+CzD0RpWDsVSQK5YaAEitc0bYrJhJIO0AptXtNTjQUf/uuLl94vM9yxydSDr1UZvakyNwbMWjGlkNmG2Tsnf9IF2w+GLbk5M6Kyl7L7H02/jo/72WQCykGvni+6mbJnvzZDikSJYLLVpkhjBheVR6UguPBRDA7k6fTk4TZoKR+FDFTU0w0XMLQfm/nwSeOI2tT20+eeOynz59eYHqiwsykpB8q1tqCueWUlWaE6Gu73YQQBfO8CmFbRTXitlzG3PkXLIAtvrVEGQL28OzvcoeLHe7OMLjznQ1y5lYl5r6MwfNxE4ORE46ymctTpwVHzwRofIR0iubcQfVgOX4QJVdjcELKCbEBk4uSPBGFk1G0m6UOGIdrtkXs2tBn+XAFk3qWxVMrU5ySizMI7sqFXnmdkBysySZjczPwybUUhXVYjm2UtjeNlmTaO0toyQEZFeDWAskg2BWpKFY0wYDYBvLEDJHAqEAZrHT2/MSpoNNTLK9J5pZSmh2792liBHHvPPt27f7p/Te+5YUfvOfgaWdmLKVW66+fc8Td5y62eMftKVtnWjQ7Hr1IcuAYfPNAYMGULSvfCuBlUJc/ZDnYsiDPFs0h5s5P0gAkA2dClILNAaAtg5ONAi774OUj29JalcFdAnm2X72blYbm7K2y944To1TMl75Z59hSBbyBPHFL1uXlkuvKhDRYasvTn0oN2uXdzfIy2shh53TEu2/v8vTBKmiXJLVa3E2z7G46LJUGq2QexOW2oczGql0+7UDL7LXMVhWZH/bcp9mKIXOg69wEMAUxDUkVSjNhRlbtQeApLiPvIYEwZK1akCsJxy72ePGEph8JVnqwdRa2rl+h25V3N1eT9Z2OOO1MNVKCSsLmmZT9u/qcWwj52H2GS8sxlYpHXXrEfY2jhrtTrqTHy4geAFsU76/sLoiiFmU0QMsBLa4A7ILNlSg14ZbAnc0nHGzbweXAdgYDgooRb47OQJ5YeaJiKtWIbx5R/NlDNXp9D6oOjhS4YliajH7+8op1RYAzor9HLMOyLx4nDmN1h/fe2ee+x7s8dcTD1Fx6qY8nKG40Vfz+crKl7GVZkJcLnmzwmd1gyrJ5Kq0e1/mmBXrgXGmZlweI0s4QohToZiSlRWEP5quYEKYgtoFMMa8SbA6TgX22/6ZeTbjzpi5337FMrRpyaUVx39OTvHja4/WLgg0tQ6ttcFpdu6X1hUX48uN1VjrjXFyBKIHAgamaYKwyuHDIy1PyV/pgg4j51eXJ4BCXs3i+7BUD7cVgKSzsQZHVpgzAPQB5XjZrcJzBCGUn24TJUcNAdwu2todSNsD0vIg4SrnviSoHz1bBdRFSZaDK5oaUgkshR27k0fORM1LOmmQxTSmTqc2gTFSX7MIocrh2a8I739DhxdMVwsQjlS49rfBSRj5L7oUzwuD22Yx8FlR+s2m0stPJjAEj7bOUg6xnsaJKkLo0y1APVg05Go+MktsQJsRfEuT270lp//rsWMDE2CS+GzNTk0xXfM5dMkyPa7TJrue5458m8BTd1S4b1gkabYd1YxDFBmMG6fFXu6NG2bsUKA85CJe7JuJVAD4A8YDFBzsQDKRJySosGDsH+GByaiFRMua2jG0KpnaK58FrNwsuHRXjexEvnxF85fEq3Z4HNRcp8spBSvbgFbKYuRYfWd7yWhSLrsFk3dHy2cFcE1V0+9TrEe+8I+QLj/R58aQPjkdfS7xMiysNKs0djewzpBTywM76KAkANXByHMVAukjL5vmqkucetARpMmmSMbrQuZtSWsF0idnLcUEZE6Mr3Ch+SiRaBlmiIU7s5rcLqz7GQD9ShHHIamuNT933JH2OI4lx/uCLMa5KWWklzC2n7Nkk2L7Bs3u9RIYwTgljXeyn8pco7y4BvJzcGdmN4UosLktgL2vuAuRWb5ezmSqTTnlFoW3nypsd7IzwAYuXwJ0dbj6FNivwd1RiDyfGdWMSk3LvYxUefblilzRpG5rdUgnvUGls+Si/uSIjlQ7yclaKZuTU5HNNBkAP+y5v2dfl3W/s8sqZgCRxMULREw5uSvGZRDpg8cFHuDKTD36/QamcuS2b2/cCqUWhwwtHK3NYipU1Y/BiaKcQV2bv0vvBBAUxhJtXZ3GyQBOiWNCPIIwgSQQbZzW37E3ohsv0oj5Sapx1kyGpFmyaSXjHzR6+pxBoklTQ7imWViVLazFhpEmHF7crEXiB6PKdWQYxDKatimJJFyMnZATYQ1KlnKYvHWoA7nxXh+JwBpug5oB2S6DOnRPrmNhnpWI8N+aF05JPP1gHPJAuQijcIrljiuKqYZszZ6n8XIgRgDEInCgzd0mDG4FObeuetcZUkb43xuGDb+3xwBN9njlhJwnEWtFNRVbwlYEuNcXyfzkz2s9ijLEsXgJ6/qcqA72W2X4+eVCsS5llk/0uUwK1Lg3sLEuVIVIbAXZZnnwLqZK3+fVDWFqDpbWEbi8lSeH4eYfHX57i2l2GdZN9ogSci4u2AdRVKZumV7l9f0IYecSJZHHN42vzdZI0Ox0SRDHxdZipyyevDOYyk+VfUObB5Qggit3RhLAnZkh3D9yKIZBnbD3YbMqy9mAA/gDcQ6xdes4ba3OpolSC6ybEacLDT1V46XgFXBekDS49YUqTY8uB1bDUGibvYWiZ0ouiAaJUIzJUXZhKtMocldQhjFyu29XnLbdZFu+llsVD4dHX4KRiIA/S3C7MfOa0dJMx2LVu1LpUEowySCNQBpv9NAJhBEaANGIgVUrO14C9s+uqSwCXpsTiw1Zhnu0ckimjKBeDE+c6gkrQ59DBhMWm3RWil2jetD9m+4aA8bpHkmqc8bHAdn4gaYeGLz3d49AZUI4kigXnzkbM1m3tdMG4DOuogqXE6AczBWgZuotzLTbY+cBOaSrvETNSfyIo9t4pdi/Om2+HGh4GW5coNQLu0lD8wj1RKcopATyTKJ4Tc+yS4OP31QljF6puJk8oWtNUeZfgsnMydOVeZck1w0Avy5R8tPTAURnV4g41X/KD7+xy76M1jlywN1+qFd1U2SrDNEv+YJ0MkWZjOUZWkjxHXQa4NAMtLjONLrXBZNfISGEBrkuxUs7keuCIXZbA05dvGla2C4eSQUPEWJY39pw3fM2OzSHVsTaRtsm4I2cFJqrR7UiElqQpOD/2/fese+7lo//8Sw9+k3MLdc7P1VlYtdtkVD3JxglItMEx+TTTcvJgeF/F8vtyBm/obi0BW5ZBPqS9hyvzRousZKn2QxXsXQK2zIPLYXC7Q0BPB4CXeqC9s+AyMgmfe7DGC8cqtt1HOChhM5dOVoNdbi4uyxSGLt63eAxp8IFVWIy709oCewjkEq0dor7LTVf1eN9bO/zaJzx62gHtEAtJT9sYQeo80TKQhYw4K7mDkge8GJOxt11VlAGTed/GgMyBn4FbmoyMzPAqlkuW0Qz1FfX4lQizaFoe/vsyKzBTyqCEx137fKoBKKVYuEpw6qLAmC6bd9z+z6dm9/+E022dHJ+srLxr+1TEcrNObYNm16wmSWzBvJtNfso7ZYY3Cx3dOPTyCHn474xuUzf8vljqysAZqgM3Q9q7AHpJkqiS9lbFTg+ljajUqCTJKwXTAtyuE3P0ouSTX69i569Y9i469/PfLxgaLyxL33uYdUpvClky0uKny7Uhg7mC+QDTNBuhoFNFqjItnjp8z9u6fP7hKofOuyAjjJD0UxcHUaTPrZOS0XOaJ35y5i5JJ2Oy9kPrVeefTWY3oSwfOWsb+zuMzvxxnQWoQ/mMYbBfVos0BOyydVi+KbIko7FgCyPJ0qpHs2MrvpNEEieCXpRyaalHh+67xldOjTvChAiTUvMV63cotFY024Z2z25+pLXVRUoOB4IFG4+CubQ6l8FdBnU5kVP+4mX9NlQDniUTyvvIDDT4YKvAnMXVCLjtRFY9eHayYfklv1spezgqIVUJX3ysxqFjA+0thbTed9FB8yoMxej7QSxSIu7S6+EG5CFPvDSRysk395KDFH4UO1y7O+Q9b+xw4pM+UapAOKTCoScETprZd7mELBpOROlTDIqbTKaXjBGoUsGR9cIzNs8PYQYpfgFaWr2uc5lSCi7LYB9i47KsuyLIS+8LEsw2lU0F/chKtn4E7a6h2bZxgusIur0I4fRwpidS0iTCr7VoNLrs2uBxaanG+QWXlaYhjFIL8kIXlXsNy2Ae1lDDA29Gv+DliYChQGUI4APWzt/nrJ2D3ZHmMhYfMPlAd+ep92KLE6lxZD7UxoLddWNOXlL858816EsLboSDkiPed9EEPbwh1rBP+i3USZ5gKdLkpmhhG6TsyxpcDNWnpNohSV38NOHv39PhTx+ucuKiAyrOpIpLTwhULk8yPV4EmyMgz715Azj5DZf9TOayhQGDq8xGlGYgSXQOQCkQZrB6XG4mZMAf1eOX4Wnwunyz5A+t7Wjl1WbKhcWYubWEnVt6eCRcagtqwsV5/KUap871+dOvVpgeT3jdtS1u2xMx1Zim3VVZNi2Ltl8FzGV5cmXfu/RachnrDTU3yDLYy028pQbkAtx6IFHkMIM7Q/52rrPL+rt0SCtPXCeiFWl+5wsNLiz4oKw8EVIOrMGS5i5ej16o0Zv8W8vwoWKifI/JAbjzFL4sjqIZQirSxGHTTMiPf1ebX/q4RzO2U4+MkYRaWdswzT+HgVQwsA0HIB/81/6Jyu7CbH5Tweo5mxtjJVDB4Fm202QyX4jstbDAv3y1G5G3I7IlZ+78WY+A3mDLB6IYltspfdPh7W/octseQUVJTJCivARn3w7N5gnDpopibs3lTx5VnF/osXdTRJJUCs1dfpT1EQzAPbTUlEBdtCrl4OUK4JZliVJmbVOyBgdF9kqUAV1ickdnLD4AtJUjJYlSbHWSFM+OinH8mM/e6/Pbn2kQatfKE6EKeVI0FY9YYkO6u7jZyyftyhA3AwItWYVl0Ocpe7sHUp7dLFL42m4FHjgJP/n+DkfPeHz0i1aLgyIVkr62vZsypWDwQQFWfrEG2Y2yXWnBPZAsxmRsLvLKw5zNjbUPhxI/VsbkvysHtM5JjlE9Lobx8ypSZfT8uY5g/bTkrt0drtsa85mvb+TMRcGN1yumpw3OqTlNtxsjvTX8QFD36lyam6ChFGMNXQSW5QtV/qXD9QRXipDJG0pevTWtJD+GmbwE7nyL7nzTqTJry2xfzOLnJWAXDD6oDlSZHTh4trMGV1bhT79eZTXMwW0B7kqrvR0xLE+GPmseo5TwXFyP0oUpa+1CqmR/MFTVp0WRVCl3+hR14lKitEJrhyR1GPNS7nl7l88/VmW5rUDGoBUxVo+PVhcOY+XVmdzmgQZJobw+RRqruY00Ra2KERboWpQTP+XrnZXFGruaaFl22cwVsTQqWUbPqyNh66zD5okZeuEafd0iEoL1M302r49wTl2CxSXFocNjTFZdrt3k0KhIfN/WVg9JylHGZviXjy4vl4FdvArIrwRsMSxNZBFYjsiRy8Ceg9sMMfjgdVrsc+OU2NutJtz7UMBTL1XQufaWWc+lyOXJcL1J0ZpVvumH9Piwjrz8kbFnySosb4NdboYw5aDT2N3scl88SV0cnfD6fRHfeWuXP/iSByoCITFCEGoHJYTdgoRyBtGUAFPS5CUfPNfeJtfhee2MLBWKSTvjpXz98qo/U2pJ1HkskLO1yf9sUA8+hKEysHNZPAJ2o2GlCS8crTBW87h+W8zNOzvs3Z4yPpHgvOcNPZprXY5u6BOnCkdqOj1Fs2Oj0zQtXY4raKNh4F8eFQ9FyzmL54CmJEvkADDD7G0Ki7DYqLQYPJMHljrT5ZljIk2mq0uSJHdMZEmiyAQl7eD3E2clH7+3zlzbs/tdSzvoXQkGOzaMxAuX6e6ya3QF9h59DCV6SsxebkYuB5tmqOve7p9jn+32J+tqKT/0nR0ee8nnxLwEEQMKjaQvZGkTqQxUGajF0F04kEnFf4vdObLrUGZzYV/nYNZmeGW2f5bPfs9lyiC7OpB0pgDxYEJt/rEGpQ5lxw5jiLTd7rzV1XRDjXIMK12f65cC1s34OGcuOVyYU9z3TWhHPd6yL+IN1wWcOD/OuXkHrb9FpHsF4A8B+TIGHxnuU9bchRYfMHZhD6oc8AOmHliEuqTF8xFjaUmepEWQWehumeJIK008LyZMNb/5Jw0efa5ie9ukY7W3lLZrRwzmrxSfNf+co6vVCJOXcV4+Z5dnMAeuxWCP93L5bLmM1rab6dxRSTWJdFCJw1tujviJD7b4+d/0CBNpG1G1JMlcFVujnX82C/KhMQ7GtqRR+nxKWn9cMWBzKW0K39qDVqLlN4DJ2No6K3kDxCD4HGDhCqwtSu1tYnC28lVmVPZqDQurKUfnUt5wQ5M3749YWHFpTGkqVXAOnvJZXq6Qhg02jSumxxZ58UybYycqBK7dZaw8Ou1KzDQK/AGwzdAHupImu0ymyHyQTNlF0QM2LwCeDbosfPBs+mkB5vKRs3eaDZRMCgZ3vYQHn3H5/KNVwsiFilNo74K981VjSJ5cgblLKC7AzuVBegGeISYXJWlQ2hFY5VWGw7XiqZbFxrs50JPEoVJNuOctPb76aI8HnlHWNkSCkMTCoZeTTw4YBgVZYFm4KOUtrTKDYDP7O8ZgsqaI8vtcmuRAz6+vEYPKRpkt3+VpZuW4Ll9dRgmiyMIKmzl1HEm9KrhxT4rbWGNpzWV+fozA0+xar5iYFDjb18O2ac3tu9okJuXRQ/DUyw0mXNi1WRP4smj9uuKFYhjc9tkMs3cpai4aUfMvJs3lQWVWhabKMkWWZUrmohQaPJ+EqovXBWvnhxqA28nA7bkxax3DvY9VOXIpsNJE2JJYkWtvQWmClLkM3MXKU9zY5QvzLfRJDm5DkSIfKp8tS5WRxM9ovbiUCqlTpHaIQ4er18d855s6PHXIoxll6Vdt9XiEIt8HwlYgjba0DT67wSZ38q+Sa+4C1NjAUpJLlYzRRVZDXgC9VLYrivzRIDEmR5RAJtBf7ewJYWxzuTF4rmTXJsX1ewzfPNjlz59SNFsOP6Aku7dJnB2bOhw93eZTX+/RC6ucu+Sxfsxlw5RDNZAEnh2Uky9b5eh/SMONsPnlvnAp+0cuT8xIkGku0985mKUa1uKDqad6GORyJKCU6dBzDm7XSdCk/P6XKvz25+oY4Vjfe4i9GWjvIWvwcqAXzC0GS+mrYrwkS8osOay/cya/vJVN52l7rdGpREvriyupiVMXqTQ/+d4uxy+6/PbnHeJkAHKNIBQSpfNBEnmCo1QjXiwtmc7ALgLFvUiuw4t707opGbOaPNAsgJ514WQxgCmkqj052gzeF0HnQIYPxynZz1KdYoyh2xdcXPLZ5kzxrluaXLOtz1Kzh/ZiDs27OEdPBywsVanKcaqVgNmdkkZNMtFQNKpQ8U2mwSh2BxgwzHAwcJlxX7prB2xnhrT30HMhBewwmYEPXp6NN+yYyJLnLYfsweE961W294zV4DGuF3N8TvL5h2t0Oi5U1OXsXdR8l5wdMUjwDMmxkddlvfgXM/jwBRxocTHknpis6aAAusyBLtHSanEpHeI4pV5LeO+dXe77RoXjlzKNacN6UiHolT9pDu4sm2dEGdSZW0JWHy5ywGVOihh8Zp1v/Y0oyZNhoJuhYLxUhTkUdJYUQX7jZ882J5DJJqmJYk0cO3S6AecXfKSIicIeW2c9GmMGZ2rSp1GV+LrDqUseFTdgclxTC1ICz9ZyaCPoR7Z8Nk7Kfu0wa/MqoIbRlPbIJKRR1s5GgKlRFs+ZW5QHsw/rb5Vt6y1LskTKzDHJmNxxEsJY89Una3z9+axaULoW4CPsXawaQgwFwwOZNZx+znEj/iJkDxP6MNBLh9bWhstlism2IrG6Ww9kipakQqJSiRaKOHR4+40Rb399j3Nfdgm1zGwNabd3xCEUVm5IzUCmFAPc7cVVwzw6AHguWUR+M1I4KbKwDEeBnjH0aF14jpsiW3553GKMBXaSGqLYECX2vZKatXbK0ppksqGoVBIOnjM4Yw6VuoMTy21rq53eff2o/nf27YxYN5lQ8QcD3wXQ7nvMLVdYa7uFbWhKImp42HlZopjL2HvINSkBeyBX9MjEpHKgWdLgpd0HRvW3yhI7Tim4dFSClLZTR3oJjzzj8csfGyM1zsA5kQohpN0HKGejgrEH8/cG8cOV2fsvkcQcILvMUEMyxQzJFU0+MiErxhJX0OTSeuNCOySJxvNS/umPtDhy3uGRpyXaExlk7ReItaIHA385B7l8FU1eeOEWyANGt0CXIguUs5S9ZjBKwpTJz5SL7EZZnKGkzzAJGFJt6PQNl9agGVqR5TvgKU3ga2bGBRtmqlyzs3bfLddvWlN/5zsqHWkunnDd9CcurfRY67fZumGZqckm3zwc8/jBlEtLmkalQrdvbcMcyEN1IyPFUXmDwnCSJpMgRf32iL9dJGxGqgSHDj342RXBPSimUqW6E1XqtTy/Ivjlj4/x2PM1uymP9LKSWBdHCioSfGk7hVw53Fx8+ZHVyRdDcoaHEams3UuqkYbp0vkbvBelm364JKC8yuWBeX4NysQxtNuCgempBN8xPHXAY60nR5YaWUwRH1QcUvjO4rK7sxRs5KvOZY9SMW5pRbIgFZf9m2Kcc+mGt/9WDN6Xgk8pbX/C/j1rXHt1C9fv8cq5FM8P2XdVn7EG9NMqr5xc/qH7v3HwiPP0oTogkKS0ew4vnG7x6UcEM5OKl4/7rDUVu2bh7lsU9arEc/PxueVyx1FZMlxhV0wZlSMeclmujGyHUa45Ke8okGvugsWvdKhyYJlkCR37OvVSPv6FMf7soRomUCCURadwLHuX+i0H/Y3fomO+kCy5NrniNb+cjS4n8oFMgaFAc3h+YRZkSjOkxY3RgxoVoZBakwoH2Uu5564eB0+6fPh3HSI/GTLqjXYJyRpPdLYqpzZbY8jrw7M1O8OcEqJg7WIFyllbmCzQFIVjkuVkiutu5czI/JaUgu2HnThRyEGpIHAU62dc3nWHYvvGHkvNhAO39tkw3SNwfJ49uAnXFdSrqR0DvX2jXQoDN+bCYoeVAw6rrQZzVTsPZdsWmG5Imh2F79kGCMSAmQc+9+g45Ms19xDzDMmVfDOjAdCvGFwKnfnegw2RCgbPkzuZBh+AO0WWak8eeNrnY1+u0U+zKfgitwat3+8JM6S9r5iaLwMdhm7my4PNv0ir2Cuee8+XZTQxl5XQGlnKbMqSsyKUDcJkVpwlNal28F3Nj7y7wxMvejzwvLULc28cKdDGIdS2Ha1IReoRmVJKABmRbdYqSro8c1RkFssaXUrJ50DP/o7IdPpl2V8x7LCI/KbIIwRht5+pVxxOXZil3R1nvB7zul0x440uq50e82sden2f6THX9mTOrbTxHMGl5YRXTjhsn/LZv0niOQbHEVR8Ra2iGKvbSa3FHL5SpnHo4g753OVZ0VcAdqG9R5i7zNrCjOjvK4F7RKKoUo13HmA6Md0QfuEjY5y84GOcwW7Jw9p7sLnVFRM7jIC4/LNRIP8FgrzcxV4we0mP6yvq8ctrU7TMKg7lMIuLVCOEg4w0OzfF/NyPNnni//Bp97Mvo0XxuVIc+iXrdxTkRlrtn78mC37RGbPnNqLO2dqCVWesPEj4DIAu89W/BOhBy1+GE5355sLGH0liGxtA0ewEVHw/26R3jFo15K03tzi32KPZzSRqrbodKRXrp1psHFtgasxlrSNpdWyhle8JAk9Q8e2geMcxQ9JiKPU6Auyyc1KeGT1wT4blydAwdVkCtjCZQ5IBOwN9kbwZSuaUdufNtqB2nJgkhV//bJ3nDwfW85Y5cw+cE1eUB2maYiOsYbk1YhGWJe1IM/XlD3MZyEfrUAYNEIPEigWzubzaUFgGL4LOnNFTiRbZkSorVbTmpmti/sF3N/kPfzJOlEogydBk9UWKItS5LLgCk2eBoDKm5ItnY/RyCZPdN5LLQWxGgK6HJF/ekjbsSpnsGhgJOrZBZqKtPdju2D1OpZC0uppW12O8VmfP7km2bWzYLcrffNc78bwGC5ee4YVnP8nxhXECNcbkmEPgGQLP4HkpjsoyVrk+5HL3ZGh079AAyMsBXoB5aLb0gLkHr/UIc+ev04EXrsrbTQ8zt6MSnCDla0/6fPSzdZo913qAmeeNUHbpE8NZyyL4kwzf0EWcdoUZhENhmSjei1GMl3V3+U2JxRli7xKwM2liGw+y7a4LPZ4xubA2YioV0mhbr5IoGoHmx97f5dlXfL76TQXVEtKw7JRoSZ88phiA3JCVxha2pSnS9mTsrjIgypzJR4AspcnYe4TRh2Tf5U4LBtJ8bLfJd9hLs92pbTnJ+FjEzPQapxdC9lx3J2+57UZWm20c13Vo1B1eXvO49/E6jUqV/TsU0xsTJhvWMnQca53EsaQfKeJEDjaloszYrw7oy3V4yQ4sJArkmxvJUe09BPIBc+dgdzLvW5aqBKVMkE7C4dMO//nTDY4ve1nNgWVt+ywL9r6smXhUojDC3JSAnV8MCqJ7VcldTuyUQT40r7Bg91JZ6lCwmTM7w4VYRhebyopcqgiDkA4yNuyaTPj7H2hzes7h2AWBccoCS4B0STOQl+WKyZm8qPSzgFd50iVbvi2wc8YesHiu04XMSnZHgF4OSEeBDpAaQ5JAP7JzM8FOTah4momGZN2Uw77tNfbtiNk8o4hTH+VEOONVRS2QbBx3+Y4bA67eBjOTbSYbEfVqhO/G1n3QipVmjfnlOnGa14lfoVjq1QA+wtRiRIMPM7ce+VmJxbOM5ZBMUcNAz6WJ5yfMNQW/8LsNPv9gFeOqQTo+kyZXYu9B3feoDBsG95WSOmVGL0A+QuNDTtkI2AvZkh85Y4744jmbC5OPQs47f6R1MkT+Ogs+U02CxpXWVWmGkp/5FcX8mgC/hEYjMDiWyQUZu5ssMLUui8l0uMoqE00mX4rUvRRZc8MIyKV1S/JAU5A5LlcA+qh0wUAYG+aagqWuJtG22SFwBPUVw9llwwsnKmyeUkxvqTO5zqfbSXCmxhT1ejC3flp8Zd2G2t0nFpc4vZpiTIgQcTE4XgioKpioKJKsx69gO2lGAFwCuCxLFTMATeHXDid3hChJkSLAHNiCsqS5B0w+cE2ktOB2nYQIzRcfr/G1p6tZrUluCcqMwXP2ptRMXErFlxl8lLlLrF4G9ihzF+C/kmdcrkUpa3By5h7W4ZeV0Uo7l0RrQSoEQmTZzcxZkVKijcp+JhHGVhz6juEdt/Z5zxu6/OF9kigRNm1bsDgDkEsLcpOnGaWxEolBcKmyP1fZe60zKzEDcW4j5lOujKEIKI0ka1Ae6Pnc5CkXsDkKahXB/vURQdBCydjOnnQE4JGmAVKD70+y1DRfiRJ/rtXv4qzbeBUf/8RnTlcD/z+dX9l295PP93F9xVMnYlpdTcMTVD3FWEVw3VaHN1znMl43+J69BGUw5hWArwbsYZ1e1uCjTkrJNRGl7aNLsqQAt0otqDMNLrM670RovvBwhQ9/pMH5JRc8ZZm7FFiKDNxF1pKS5y3NMIsMzT4RQwAeyBUxBOoygRevzBUxPvz+Mu1dAnbWFzm8Q5vdpNVaiNLuRy/sDsZSaLRQpNpeL4EhDjVbphJ+5kdbNPuSP3u0Rpx3BhfbalqtnyDoi4FjQmYPmmKZskDPAa20KZwQk9eJC2sbDskQrgx0azWKYoM4kcka3xXM1hxuvx727qwwVhNUgz4Vv0+zE/Pc4SpxDNPrNzE2Gf+nU0e/dvqNd37Q7tEz2wgR0nDb1RH71vdZ6xuW2gG9tsdM3dAIYKIumZ20+ltrjWC4RrsM8mEwX+G1LMuUsiYfZe5cf48CfBjceW13XnPiuimnliQf/VyNIyd8qKsC1Dax41zO3kPJHDPE0FeUKIU0Gc3+jTD30PuBi3KlZI+Fnx5J+IwEm4yAXlvWs88DZhcFs8vMxbBSRRhDqh3i0HDNrpgfuafN0y95nF4sIa8IOsFoRSJlBjirxfMgsxxc2teZNhcGnafyc9YWeeJnGOiFN14CutF5EmngRklpt2Q/N18lTgImGzH1asLUWJ+1bp97vwlzCw63v05y876Ubt/eqQ7Axi3XEvhVjhzr8fRzL3D6kseEK9ixCeoVSSVQ1DMvvBrks7UHPY+jCZqydhoFdvlnQ6xdck0ukyfCDAWUOYPLXJqI7JB2StVKW/Brf9jg4eeDQZVgnrHMwZ2l490M2Lk1WMiPkgy5LMDkW1iFl6uUv/BR7q4fqiosW4i5ZNE2uMtlihRZP+TQ4E67xbYWBqHtudZC2fdCIlBooUm7mrtuDPlHH2rxbz4yzmpv4KZk5YEFiJM8gMyeKQEx/1kBdGwBF3klYek85jLElEgkL9TKu4AKXz1LgElhiBNBN0xZXhMkqWKt7VMNPBZWfcbrHm+/tc2pix1u3D/N9fv20et3BwCvjW3gqp0bv/pn933llzvd2Z9ZV9dcu8nBdWw04DlQ8aEaGKoVTcVL8V07OUpJPaifGMle5jZi2d++TLKUAZ2BOge9KgE8DyitZCn53Rlry6zepC8Mv/m5Or/72Trt1M1ck/yw4BbCjhkuT4kdKoMdck/M5YxdkqvDYLYAKiuSvyy4h9i5lNEcqh3P2TzTvLmbIksWoijpc6FlVodvMvtQIoRCCE2qFSSGuhvzE+9vM7+s+I9/2Bgqo6UkFYx2SPL32XlwxQjQswBUFcGlvRkL4yivOBRW5g1sQlMUMRY3Q/6+kGPaFlulhl6oaf7f7b13mGRneeb9e98TK1dX556e0JOzRjmTlCyCCQaM7c94vV5sFq9t7G+x8QfOXgzeaw0G47Q2MpaNjcFIIIQyCEkojdIojTRBk1PnUPGk9/vjnFPnVHXPSAKBwLvvddV01alTNd2n7vep+7mfZEkMPfQ7TD1LuWAyXBGYYuYTK1atu7NZPZkAfN3qEb7w+Y/Xl/fIg4Nn2WSNKXK2YmY+x0LdwNBDzm2bPlY0jUzTEscw/ApOV/GkrXgnsDsseMSxRRcP11KgDgEe/X8ioSdSS4Aeg1zpAbv3mfzrnVkWXD3i3elwfOhYCqKIZfuWOL9xkfOSkcouFaVTA0/RktSxl4J0FYfrU0lHHVa7LQ+mewam1ZSQoggpkSqx7mF0MLnvB5FkGEmHMlB4bkDe9njPlTXueMhk114RCydJxCYemByDPKIeHZQlzliJNl9sMGIL3FZT6LLYEdjTueFB6lpKAa6ncDxoudBwQgxaRtiibaGhmKopLCNg1VCeQ+P1g/c8/LH6H//BRxKAA6zbdg25bIYv3fJtbr57gtGyxXlrJauX+RRyLlnLwzT8RP5RScZXUlwUOxgx2DvpSqdEmFJVIkB3W24hEt6tST9SWDqDOrFqohk+Tx0w+MDHyzy9z0IZMqElbQsuU7JgknOyaFJDh0zVqZh0gjxlzUmczLRpf0l0EetBlQAAQoVJREFUpTvQkwZ56hY7n4ESYTtjkTidQTyFQcS0JQa7jCiManfIEhHQfUIvTziKbWtc/vK35njfxwRP74+ck5iqpH/HQMeLHEoVgNlOvAqttR5t2LBAOdTJgxQtUSkDEdOR2IdJd1+IV5D++wnzYUxdkTEVhaxgbETy1k0OxcwMAyPrGF51FZ7bYBHAN4zlyGazXLBecmqfYLDXYmzEY9VwnVymhWk46HqYXOn5Bk1Hx/W0sDl7vD1jexR/uIs4eWKlO8Ce5t9d3LttsWXQQU/awJYeuhFQVZK/vjHHrucsfC1tuWPuHXYFaTuWIp0puJRy0plq0J0Y1GGpUx+M6P6QzoBw1QXsNMLTVj0+tzMQ1KmNEyVlyZiqBCKkJIQZfkFEGcNjERcXGiJQ+AToQrFjY4v3v7XGhz9lUPUEGCRmNv4JgIYfSJx2/kkc5Qy9RU0m30xKdVKWIOXMp9u8iQjMIn0ZFHgBtHxBzRG4QfhZGVJg6VCohRtU13IUcjpjspf+sV6aQaN9XdsAdzwbzc3sz+V6XtixpbB6qGeKibkmSm9w37MwPR/+Nv1Fn0u2QjGXZaFu46KFvaxV8kkmCespDt625kFCU9rUJIjAFKSAnpYEU9RE+kiROJa64VMP4Lqv5vjyN3O0ouSpxHLrbestI3C3Z1u2Azunsd7dFrttbbqCPV3yYOd6MXrSbb1FUhKW+qAVEVNYlICVDvqk5UORAD6QBDJAKIlQKrrJyAGNlBVfYQrFO99Q57nDOtfdmKfmEl6wNkVRtGs0CYfVth3CCOQQFWW0aUr498hIDxdStBPJ0k5997VTKszabXmCmabEzjW4YvssA0UPhWBi3uSpvSbZgmLnXpu1o0XWby2+0FvO7K9Wg/b7tAHe17+CZ5648Y7hgcwXnnqu8NGduyc4NJ7l3x6weGKPQb2qIxDksy1+9+cneetFLjVhh+mRkZMhUh9Z3Guj24J305Q0BxepiGWifwcd8qAUKeute1QduO4bOT729wUmZo2wD0gH545vImW9o6r8tgXvoiJp55K4GKAT2B38PG3B27fu/oSnR3jaiew41r4vOooH2jSFhIPLQIQWMubeIqEsRCBPpgzHzmaksiAR6Hi+YrDi8ZH/PA8K/uHmPFVXhHpfG+QRkY5WgMSJ804ijVyPLkrMvbW09Q4SibCdWKVig5iyCXEqAoKm53PNtjn++L118paOEAFz9RaP7dGYWSjy3KGAZSNFPJn7ws133n/HT7/j2sUABzg6YZLN2LdMzNhvqbmVs1YMN7j3zgKjeUV5IOyq4AQmC7OSiRmHQGmRw5BY6G6Kkjid3eCOtG+RAnmaoohYClwM7ri+UtqKr92S5U/+rsCpmSiYI7t5d2fEsp0xKFNWO1aBSAFaLG29u53L9Gci0gdfEvnuNOMJoEmoSpzEkbLkiyx41PRSRCpKt6qSOJqx1Sb6GYM+tOIEOq6jGCr7fOQXFphekHzhG3mwu8AdaeDJry9xiROsIrpClDNOyMXDnKy4El91UZSQ67eNSOprzZKKZUVFr1Xm2f0DeL7ENHzKOYeNK2pcf5tNb95gpCJ3bV6ducVpdV5aLf3gn67/Z3qWrT/ieOr8Q6eaZ5+ccBnMS1YNaAz3agz1aqwZ1hmsWJiG1m6TlhQsdKXCyhQVSbVc6w7myCWstnYayx0HdHQ7YP9xnY9fV+SJ522wY427KxVWRvkmMky5MKJStHi2ezs83y6pW1zoEM5kD0vNOmazt7MNk2FZIn4ucvbag7Vk6mf6feKbjJPVkk0nhFiyYZLoyNYkqQ1NSZpJmDut03c5/ykjBCGNiMlwsRiQsRUPPmUwMys7kbIoqyz+7hZRILRr96vO3d7uGNC1qdMbG8K/2dQVvTlBRreYr1nMVg1mFgxmFixqDZP+HpeeIqD0b0yceP6z17zxFzv+rw4LDqDnhhFCUM40yGRhuE8jn43a9UmwTUUpH7ZDa1tmqdoXp33B2vcXU5QkJyXoDM+LxJkUMrHgCbijmxnwwgmd3/3LEnc/ZocRG9HNuaMbKWoi0/nei4sZlkqskmkApS17ymqLtllPH19aVlxKJYnRErfhSPPu5HFaMkxRk6502k5O3nULZKSfS2SgCGKqQviZ+EqDqMI+aCpef06TP/zAPL/zl0UOnDTDiwid8mH8lRf1oPUikIf56iEdjOmLjDZRop6ERQ5BbMnppIVxZoMfKKbmPBw3wDIlUoYSYSFrMNCTZ9WoxdbNwwRLFIkuAvi73/Q6pNSdnQ+cZG3lGJquUW8pMqZAEKZS2qaHbbkYup9EKiNrkHYuSYMblar2CWjnq3TREhGBu62UiMTJDOXAgEMTOr/310W+fGcWR2idwRyZ0JJYetKjC60Tad6kck7ib5wleHiHBJiiJR1OURf3Pu3qsGidT7U5OND9GXUHe+JclfhB0qQzoiykIpuxbBj9FJG6IiIZUSgVnRNSl2ibIYSGF4Cte7zrijp+AL/z2SKHJyJlhS5wx/w8qtgPFDgRBQmVl1RfFRX3UkmCO4mSEqc7hJKmiPR9PxC4vmK+EeAHAUoG2Jai0RT4wC+9u5+N297oeJ734gAfHezFyhZ/02it3rR/3+7XfufRBb71eIE3XuDyrte1MHSwDAepBXi+xPO0toKyFKjTgF/MwxOtO229Y2stOmTBcFDU4UmDD3+myFfuyuLIaPKrWPqWRCxJ9fZebL07VZOuPBTotNhdqkmHY5Sy5N/L6gjkkEiG7ee6AB+CQUQOnEjaqMX8O5YNEUgh206qULL9hiEHByG0KKkqLA8zdJ/3XN1A1+C3P1Pi8IRJ1Ie5c7O2FZbw2gcK3GgjBFKgRyBvtx9KOZjxPkjAHl5DP5IInSCUBrMaWLriXW+oce2FNe56TPHkoX6UsenbmGt+UzdmFl1L2X1gaKBEMHPDwnC/vueex3v9Fw4NcdbyHmytj0ZL0PRmObUwy8nZOfygGWrjKeoR10Z20g8VyYMpOqL5yA59O8kvkdKPKErQBrfUfE7MaHzks0W+cucS4F7kWIbW25CR9RZpq91pvWPO2q7eiTG7lFzIYmudYFolz71MJ7MjZZbT5KdEwY6YssTZhfHzAZ31mu2wfpd0GM75ibtlJc074461KtDCNFul4XkS3Yd3XtHgjz4wz1DFhcAH5YPyUvd9CLzwpsKZ2IECR0ErAFcJvEj6S98CFY4sd4NwBn14LLw5vsDXXQb7ZuirTKNl6tgWNGsVnnp+BWsGBnnj+Zbf8u09f/VPtywIWVl0afWlrrcQitnZ+gd2rC+eHzgzOzavEmxfV+XodJ1P/XuBAydzZPSAD/9Ug4u3aFG+Q5wrotoSYWLZVZvnxQ6laOvfKc4dKyci5N1J+muAZwj+7qY8X749i6MtpXMnencb3CKJWMaat2QJ7h0DOAboIi7e2WtwSXUljWohXi6+ExUBOiVBFlf0LLLi3TSlfZ9FXDwIQpkw5OKRYhHEfVRC2uLHx9BAKoQPOj7vurrOnoM6n7iugAeJ49mmKKnH0WehkOG5cWifqH4zulqp9vMIFX7jhv1oIKMrLtjq8JGfrmEZAQfGZ/nUlyp88/EiU7Mam8YCFhh4qtJf+4Bp5Za8tksCvDL6E3zta9f7hfKY6ilO0VOa48mD89z0QJ7xiQKb+gV9JQ3fzTM736CQa2LrXrtsDJE4PfFfEgM8Bns3uDXhd4A8DW50wR3323zxjiwtqUWmNg3otFMZhuM1meSbdCZSdXHvJQGdbIRFUcqUcRYdBL2Lmyf74cXBHZ2olnq+A9AxbRHtTRF3vRLpAFBEVUJwx/khieO5iL5E1UAx/w1pdeR8okXKiMISAT95VZ1HntO5/YFsxLFPA/KOJfEBNz5HiWjcSfg7+yoZMmUKRUZARirKGUUmyPLYswX6e3xGBxb4T9c0+MaDM4zPFljeMjj73NVK05T/1je98aUDHODsc67E9xpfNPy962/buZB74IkKA0WbSzcISgWNgR5JzvZxPYkQClP3yNoOQgRRzWYU4ezohNWtpCwF7oSWaHqA0OHr99n85mdK7D5gRQXDSwC7/Ti03qZYqgStE+jdDqVcZJEX05X4hLbT2XVex2teDNxdYcyOFm50aeCxyrLIkoukwLcdAIo6tqZyV0QHoBUikFFrtW6rLiMurgiC0ESriCsrH7audvmzD87zIQ2+cV82tOKns+TtCxIaOx/Cqp645B7aNMZTisCDphAEliCj+xga1Buwa6/GQMXgyCmLoV6H9795lm8+1eDE1EjtvLMu+mIua5/2Gp8W4MtHh9U3br3h01W1+QOTkwu5K3eYrBwKMA2B40tsU1HOu2Rtl0K2SU9pgYWag6ZBxjKpt2x8L5wII+KknpdpuYUOX7s3w//32SK7D0bgfhFqIiLLrcPiZKp0DWmKmnSkxcKS9KRD/uv+/LoBLdqYPQO6T7MDVOcLO6KciwI9qf8nlfSWgDtFX4LY+YwbeAYRZZEIGb0miNApo/sydD4DPyz6hRCNm1a6fOK/zSMFfP2ebPiaM4FchZ9NQEhJAhXljke0zg8gcFyKdh0pYaGaRVMGBTNgvhZgzjjM1ySOJzENk1VD/Qz21Tnv7HVTe1946tNXvP7HT3upTwtwgAvP2UizMU/Of4zx2WlOzkp6dIOclaGUDygXm/SWqyDn+Mp3FF+5u0SP7fNf3tZiwyg0W+FfLUWQKCpRSF4s4t5BFy2Br90XgvuZF04HbplYbsJCaF10FxB3BVPaCs8SPHqJY6SOd1vutEO5CKsvg4cv3a8vNdov5uExuEnUlSSVNrSysaLSycm7rTjRT4mIqvBRMuTjUZ5KkOLm4TeCFkmJAhyfrWMuH/vleZSCm++LQa4SkKfpi4rvyPaFiuXbQCiaDuxYM8evvH2cgh1ww915bnmij2PVXNSAKqCYAzvTolys89xRyVNHhvilczbR01M447U9I8Ar/f2tI0cX3n+yPvKl3fsncg88ZzM2aHL5VsmKoSYDlQUMY4aP/YvNTff1M1e3yRo+YysWWNYT0HS0aB48SBV0OJpLZwh6IYfXBd+43+a3P1Pk2QNWEoJfRElSQJdhQCdNTWRktdvKCWeSBxOgLlJRuulK/K/oPii6Hr44xKOW3J3WuBv46WBQxFEW9S6Ets+TlLeJkIa0uXlsxVUXB08UFgKZ/A1RoUSShK4l5Wwt2Dbm8olfmSdQcMv9mQjUKbexI39FtKkKUWtqWwudSQO4Yrvkim0FLCPg3DVNzrv/OH/0z0Mcnc9jG4qhXskl2zXGlvl85ynBsmWVmqYF78caaXGGdUaAP/+CE2QyG3du22HN792/L7d9hWSkz2R0sMmy/lkMc5o//tc8X/zWED2GzpZhRV9RQ/MGOHDcoZhvkrVDzTy23mkpMB2hjKVApUlufdDmQ38e05KlwK0tAnc6oNNZyNAdoey03h3dq7pAnW7cE/Pvbl28A/in4y9dx7pYSOoJkQrgLN4Aad6dcPNOiTFNS4Ig5NjhXPnEcoetJoJUWq1YTFciC9/WHyMC5Ked4RZsWeXyP391HqUEdzxgh6pIh6Ki2o4lShAIDVT4+ZgaFMyA0R7Q3AqPPVuhr9xioFLnXZfNooJxPv6vAQdnCmTtgL2HTKqNXoR0uOJ1b5hfvmLVzkZtIuAM64wAXz4yQNbWJp/d479z5dh5d2edB4yNY010o8odu5rc+GAvu/b0MJyTDJcC+oqCoV6DnK0xX1PYlotlhp+ubIM7HaXstNxKk3zzEYvf+GSR5w+ZZ7DcnTdBDG6iaGXCsU9nvZfUt7vpyRKUZEnCLdK2++VJ4N2gXwr8i9sQdwZ4OhxPSMmKKR4eb5IgzOoTcaRTJuCWMkhxdBVmcEWAFSrBapCGVAs2r3T55K/P8d88uPuRbpBrJN2zwgvpKYkiNEamDqUM1Ooa+44a1Fs6jZbOQEXjbZfMs3p4kq8+0GDn7h4mHvMZG3T5xZ8+282YzjsRPZOZfP6M1/WMAM9ldL7z6B6GBkaONZvTL5w48J0NdWeaz389z52P9RIEOsO5gOGSorckqZQMess6+UzUYpmoBCw1H0dvd51Kpb5qAUoT3PGwxQf/V4k9h14iLYmSRGLr3V1ALEWqjUXq2FIy4GIVJWW9Y+Cmgc/izXA6+eQlS4XdgG+DM9V9VkFc2YNarJGHYx9FoqpEj0XE6dNSYZz0FFruIEVTIlUlauZJVCARIzwGebsTuAPrl7v8xX+f49f+DO56yA61dC3airGOGV0NTxi0AvCjQg0/gFrDZ3JWQ0od3xd4vmTQl5w1VmfrKo+7npjlum9kGV1usmnbqhf6hkePBcGzaNqWM15byYssTUqefPKxQ/VG5n09PRfx8FM58lqJi9crKhmXvgL092j0lQ16izo9BSjkPDK2h2V6mLqLZbiYhoNhtDB0J5wLL90w7dUMULrgrp0WH/xfZfYcsVAvA9xt3k1aLYk74C4GcxuLbXCqxbQjPq/bmUyB+3RQXdwb5Uxnp9F85nOS5Ku4/jGusu8+J+mX0u6EEsTOaapxZ6SFpzvWxhX5oQWX7UKW5DVaewCWUuGU5TgKGjiS9ctdPvUbc7z+gibSD8AJwkhn4IY3vwV+k8BzqXtQ8wRNV9BwFNVGwFzVZWpWcWpG49S0xdRchmpD8OjuHE69j/PWKC4863x0L/u+Zx7fdUjKF4XvmS04wEVnr0UFCyDyJ555qnXv8cO7L9+6ukZuvMn0bJbhisFgr04pLynnoafoUcq7FLIO+WyTcqFBzq5hmg00zQ+FUBGZGx0OT2o88ITF7/9NgT2Ho1rKM4JbayNXwpJNMxPJryskzxJ8fAlKkt4A6R2RgH1p6bD9HurFrurSQE6CN9CetcdSPDwlE4oUFRGAWiLqKVIOaXx+IKLJxDEnJ6xcj0rfornbocirZERLgvCziZxHSZgv0k6kcmHDCpdP/8Ycv/e3AQ89bnF4KkpDDVVwEA5IF0fPMuXbaEJi6ApDC8JSN+Xi+TqOKwEbqWU5cLLOnkMZlo8MsGz5hnsHV152wiw3ECL7vQMcQMgCd9378D7TGvj04Irtl3/7vruZW8ixZWWG1SMa+WyYwZbP+lSKDj2FJj3FGqX8PHO1Ol/+tmCubiM08H1FORdwzUUtAuDjn8tz03dsJmb1lwDuJGlaiCjGENEQTdCexX66VNg4z6TDmp+Bi9NxvB2SXYKztK/UUj8W3e8AdqyHR3iOU6c7clNSjl2HtU6H8ukCteqsAoolwfA1KolyRs4nMXUhdECViDvXRriWnBbkgQrtFoB0QpB/5kNz3PQdm4//fZ5ACK6+sEUpF+D7IKTGTN3k1ocrTFQLhEMJw0xS8HB9xeSs4OSkxuxCieUDOlIusH7DOWxcmfv04X3371u17tKXZDheEsABKoOj5AuFnXPz1RuXDc++bbRyiHM3NVlwHE5N5CjnDcp5l75yk6HeeXpLs9yy0+efbilyx5MFak0jvDheE4sWH/ypeeqO4PqbMzi+Btbp1JJ0QlUCbh3ag1oTvVsllToR0ENAdxcPJ9a9m3un5b4OgIoljrVPPw18xaI7p1+pwM9iJ1MsssztXzatuoj4m0B06eJdlj/Wz+mq60xz8XbOd8T1TgfyrusGID3FYMXnvW9qUGtI6i34jfdUMZSO6xgo5VNrOVx7YYPrbilx84P9tFwLX4V5SromKBV8jk07PH8sw/ZVGS45fx0X7Fh/Y//I6E68hZcK25cO8LPXjzA7eeLQ2isu/DWqz2puvfmWJw5Wee6QTY8tuWCzoq/cpK88w4FTVT57s8m/39fDkeN5srZOpiioewH1mmSkt8GOTS7js5JSASaqXWH3dJs1IYEE3ISPkiglqYCOXEIp6aYSSxzvcBoRyNQLTpv7LTofdxv3l7TU6V+QTqZKAxdSxcikLb1IbYBYS1ncV0Wk8rHDXiqp16boiZQpS64Ih1UFshPkQgs7VbXlplADFyIA12euLth/UGNiVnL8lMZIj83MQomWY6BrAW/Y3mTtQJXz1rW4eWcPh0+W0YSknIM1owbnbG7w7KEZjpzq4dRsz039I6/5tYMHxw+Pja155QEOUO4b5uFHHj68bOzsp2+9Y/Itjzy5n0oxy8ohnWUDVXrLk3z9YYe/+Go/47N5TGEw1qfImSHHmm0IvLLHR987z7uuanDP4ya9hYCJhYiayFSrh678khhlid6d4t2kODaJxU47lx0/UwDtlv8WFTbQdX8RLUnOX+Slvgycxz/bud8xBY/pSVoXb9MPtYhjt0P6IpW7smgTxMURXRmIseUXibwYW3UIN0aQArkSKmqUKaL2yslfpJsBkwuSp/ZZ3PtoFt0w+K2fVgRumYW6ha4HZCyHcq7J+66t87bLJvj0V5vc9mAfmSmD/uOSzXYPO8aqnL91Gdt3bH/6+ecePLz9rItf1rV9WQAHsHPDLFs2+on+/hdWX7qj+pOWVmfz6ipNb4rf+BuL5w/3Ua9bjOahYAfkLEXOFmQtSSEvuXCbzjXnZvFqAResbXLpeS77bsnhkYzRjluskSo4jDl3dyg+bt+cdibjjSBjlaSbnogu5eR0PLwbq0sCfvE1+m5qHjrBGcMkJuZJDKhtzbuDPoJFFnuRY6m68lQ6uHgkRcbAJtxIIccOZUOCsBKLQEY5OgEQjfCOLINCIKXCcTTu3Wnw4B4bP5PnhocqEMBFG3KU8pKs7ZPLuMzXbPKZHIVsk199S4urzznB33y1l10v5Gg4GmMrRrhq67ovbt6y7RP1+RMv+7q+bIBv37Scr950y9zy0ZX/mcaTy4p267JATvIXN+Q5ejzH8oJELyuECttrZTOSQlajlDcY6Rcs78tSqxXJ2y5TCy4npjR8oknD7WnDkrQDJ0hkwHYKLF2OI130hE5Qx8BLA3RRqiyLQR1b7cXPnRnFLxvjXS/ocCZTTiakAZ06p0M1SSdlxcfUYiueVlciUGtRGL9dXhbx9PB3Cj3OABE6hWgoP2ruKQVSSbSoUseUAcO9Af1lwdFZm5JlcuJkwLMGjPRrlAsaxZxGPmMwb/pAHl0LWDdY5wNvrfOZLwdMV0uslPp9o8vG/vOjD99TP+/Cq77/AAd461uuZedjT9Qr57/V2fvsdXz5rjx2UOJ1WyW9JRifcTg2LijmJIWcTimv01MU9JU9DCPADwS6odh9RGfPCxkUNugWQhgIKTopA4murcfKCZ2SYJId2JVE1W29SUmDLGGx41TYJTZHB+hTx07Lu8VLA3mbfnTz8Q5nkrZs2AH42EGMrXe3RChY8nFHQpZIHFIhopnyKpxSLKN+44EK2vOZaN8LS9/Clg9h1FMKFU58UwJdD9g45rB5ucORifDzcz3FzLyLrgscT8dxdRxPUM4Ljk0oTk2ZVEo2o/0F3nH5PIcmBO95xzVOw1ffFbi/a4ADDC0bIwiChx95+g0Xbxj9duaSzQG5DAxUZrn9YThyqkipYFAu6JTyUCkGlAthzngu4zA543PrA1lO1PJgZdB1vcM6BySOVqiEJPw6ne66ONckqftLAzh+TOp4d+TxdPQjOd6ZTCVSL26n1nbj/AwoXwLTCVVJKyppHTzm5h0A7qQpCU8RHSDveN80FxcJD4/xqkhe246YinijJUEn2s+HSwqF5msIBH3ZgKsvrvPIwToLTYNqC+ZqCl13UYHC93WCQFIpeMzU5rn7SY2BQoZsRjA00Mf73nNeY/WaFQ93dOz9QQF8+WAJz2l+5Od+4rXqnrue+fWZyf32cD88tKfJky+UGe41GKiE4C5kAkoFj2IuTMAq5av8812Sf7i1j4ZXIJ/RyWkKXYSfgK/Ai25BdEFjR7IT0EkN5OJys1QLgpRFl2mQp37Gsxy7rfPpM6u6fr6ove58PgZTGtxLrg6LnQZ2Yr3bT8WpsYIkgzDF6Tskw9T5MT2JuTjQVk9UnI1IZMlF6g2JHVERFbeEQJQywPV1CjnBz11TZfeBaa67PctMwyBrhj3lUR6Op3BdHdvS2TKmcWq+ziPPaAwCY5VVzcrI1Z9aqGU/WipY3zXAte/6lcAf/tEfq8GVF907W81rnhdc/PDz09o3HymxvJJjx3rBmlGXrB1gmwHFnEtvqcFAZY5dLzT5s69UODDZSyWrUzEVeUOR0cMx2jK++OGVDg2PUO3ATpxv0m7YI7rzvlNWPi0dRtQ+PR4wOZ5qsiPTqotIcXvReb5Ivy6Zjymk6HxeiNQG6pwD2fEtI1n0TbRkMlh606YzHLvoVrtVW7RBF/smXSV7KUpH2mDEufypvSpI57JouJ6O4+m0HAPX1/F8Dd/XyJjQ19Pg+aOw/1QOU5NYURPXeitgfCag1pAUsxYXbPIxzQZrV4w5b7ps5Sey2sk/GhjZ7L1kQL7SAAf49Mfe4V9zWc9DB0+0nPseabxu/ZAu3nixw6rRGaZrVQ6ftCnnJX3lJoO9czx7qMZvf67Co3sHGMrr9GcCSplQSrSMsANWoML6PTdqdQCLI5EdiVPt7rCLCxw69HG5NOjbnapSmyA5RyTAk+lOU6INdJkCcij6fBcAl6cDdDKrvQ3S9HsQb4b0MZFIoEv4FO3XdBd+kAC/TdE6eksufp9QWpS0HINGy6LRNGk6Bq4bgTzQWTMcsHVsgacOaxwaz5I3oJQVrBzxWXBr7D6qOHJSJ6ObnLXeCrTMyt9/8tCq/7nvSLV169e/+D3h86X4QS+6bv7GbSAzW3AO7Ro//k3tyLTHxJzg5Cmblf0FLtnus2VsikOTU3zkujy7XuhnuKjRnw3IWwrbFBjRVptvwNEZybQjaabyHOL2D+lc77RM2FG9I1NZhW2Qq6VBH9+XSX9qTSZAWgR0GXZMFalztOj18fnh8/FrRXSOSP6fpTZc+vdK/a7tvydqfZdsvvQxlcil7ee6bu3n0yNiOucrdT/XbsrU0SA1aW8dg8cPNOqNLCcm88zXDJQCw1BkLY9sxqGcb9DfM8tTh1p8+LohThwtc9ZywUVbJSuW1Tg63WR8WnHoWIZ3XPsG/9yto2fNVxvPXHDx1d8zNr9rDp5e2zavYKB/2d6Dh4wPTMy1/urR+x6X8wuCkYrB8kHBcG+NfScW+Ojny+w71sNYRaM3G1C0Q408Y4fTak1NEgiPTLnB/XskDddCaDJsd6y6ZD5SX9XxTu3i5YsCNiKxhG0KHVm85PWp3Z92Nrtflzqn+/z08y9nnS4nPEnCEqHOHzuLKuby4YO2kpLyM9tBIaE68seJaIhaxOu7JMVI5xap3yj0ZcI0aEP3qbcCdh82OHbKJAhMDF2RsRQ5WyPf0nBdDcfV2TAyx//8L+P8zuckx2eKHDklGekvsGOVZL5fccWlFwTl/tUfyBY3722pY68ENL93igLwyU99lh9728/5T4sdT5zX+/jsSO/Cjx0+3mDFgM2FW+rMNqb5wy/kODHew6oeQX8+oJQVlHKSYl6jVDCoFA0GezXO3uDxU1eewPPn2PmsBVIn7lCVFBGrlGVVdDStTFm+dspse/hV6ryO7rKi43HChZOv/bSFj5tsdp4jznj/RSnKaW6L+iWy+Pl4Q6Upyum4e/L/d89T6jwv3LBdkmq7aDts8GToHhm7zj/cLvnEv1aozZuoAFxPw/XDBkO+H94cT6fRshgqS85eN8cj+wxOTRr0FSVe0OLhA0PUgpHf+Om3/9hf29p+b3TFplcE4K+IBQe47IKNBN4LvtDevN/OP7hw4Mh9haHyAvVglk/+ex6nmuOcFYKMFV4wy5DksxqFnE4xJynlobfsMdznsKxXcfbqJppo4gc2QpMdfLFDf17iA+YMz3U7asQfeDcQSJy3jpU6ELcY+24ily91dUiJKcudDsELkejgnfJhXGsgUjp4UrycJGqJlNUm1es9PKd9qhAdv5GUAeCya3+BI5NZeq0AXTo0mj6FloHjaDiuwPUFdUdjctbk5FSW0YEsv/7OBT75b4on9mU5S+/lsksvW9i65YL9j+4+7p+3efMrdv1eMYADCC3Ls7vNm/r7r/jlN16d+dTNd3298pX7chhejnNWa6wc0kB47DsSkLU1ygWDUl7SUwg18r5yi95iHYXD5Fw4pRcp26Vobe2bxdXx3dHH7oDNUu2EOyhOetPQtVlE53vGx05/Ib6Hi7hE0EfFjbSBuGlO3I4jlvpETEtIqnfSjS7T4A3Sm4LkfWPa0rFJiEL5dBUrR4UPAo2+kgfCY6JqYukBQeDj+grf0/ECHSnDmrc9R0Aqk/HpCqODWX72ynkOTWps3Xbl9JuuvPCDhmjetHc880pC8hUGuBgCoFabub5ny6X6wVN84uT4vf2tUo01ozpjo1Ue29ek4eQY7NWolCSVok9PwaOn2KKvXGPZ4Bz7TrT44t29KJXD1gUZqTBlkhLbHXJPgJn0uu4AOV3gJqEpixKuRGKZF3HyRXdSlu57XOp0B6O3Tkcw2zgUyX5o52dFVltLW3EVfiMtbv/WCfx4g0SUvWNzIJLKnlgHbzkGGdPmJ1/f4FuPzLD7yAAyGifuej6eF5ajmbpOf49HoFd54nmLuarNfM2mr7eHa6+4fGL95kt+q9Zyr+8p9b+ScAReYYDHK5frQamZ69549UWyXh3/k3sfeLx/5XCNB3cvcPfjebaMmgz1agz3efQUHIr5Fr3FBqXCLN95uslXHizy/IleClmDghHWWi4KlYtOcMfTGdJrkYPYcUvohRAsbcHb75GYbrHUf8IrAfGXsNLOpYgcxgiJ7UlnUfg8LJ9MZwomYE5TnETsS/6PyDeNvjRE+37UBZ4gAL/dWVhjVX+NX3jzDF97AB56vg8v0HD9AMcLcFwXgN6Szpsu8MhadR7ZVWbFEJT6zproHbnktyenvetWryh9Xy7ZK+JkLrX+4A8+wVuuveTxYt6cqDeqr7G0I5kb7s6wqi/HuRs1zt64wNjILPmMS7nQoK88w433e3z0c73c/2w/RdOkPxsGgAwtyZOArt4mMmWRu5yvtF6elgYTWS/taCZyYOyopjeDTMmCyf/R6Th2Pu50LE/nZCba9uK/4XR5Md2UaRElIz4vThKLn1TtzZpIkakpc12bHcQi/RvA8yWOa+C4Bi1XR0qds9cFvP7seSbmHR7ak8FTOo6rODHrMVcNUIFG3rbZtqbJw8/7bFgzMm3lln/o2LGD111+8VnfLxh+/wAO8Ld/9y+8/+ff+ORgJXvk+KR+NZ5rbR4zWLGsynNHqyxUYbACQ70z3PBAwJ98YYiZ+TKDBY3BXEA5E5AzFZoI28W1/Ghil4g08VTEMf7kO8Gd0sI7tOY0YLt/dj6XBHK6HydBnyRa2K2ivDjAxRkA3gG204Gc1DdVCtQQd8RN060IsPHf16WTx1p38q7x62JZMPwmdT2dat2m2jBpOQYtx8DzTSp5yfkb6kzOOzy6N0spq3PWWpcVyxocOiVoNCyqVZ2NmzZw8WXvOjw4vPy/XvnaC8/Y1+R7Xd8XipJeT+63glqz94vDFbwfv4LP7z8wbt/ztMf+Qz28drvOWWsn+cLdGp/6yhCBk2NNvyJn+mQtyNkC29Q4Oeuyf8qniUFWF6FMqIWgFe2v6Jh/hs6XTH1OHT0IpeiwVqctgKDzeJQvcFqdWy15LKmyP916KdQm5sRAeww27dr6ZG6mSDmIsToCKowGK6LBUwIRhPkqWup3EDLp807M1+PJbBAO49U8TNMjYzc5Ppnh5ESOjO2Ty3jUmwbVukmllOFD75rD1Ce47/EhhopZLtsh2d3fYPc+MPOjzdeNjL5vx5ZVB6TUv6cw/EtZ31cLDvDVG7/M3/zZxeqiy3lu/yH72cf36z9+4GBDv3izwfb1c9z/XJ3P3tSLFWRZ3Qc9uTD4U8yGfVaWDZhsXeOyefU4j+2VtAKTnAGWDqYWRjARccuDiGOSDIiKJ6rpEjRNLMpD6bCUaa17EQ3pvN+ZA9Jlnb+LUP1prffprHkanG1jm0o1jk9QKYtO8j5hHo9C0xS6DEel6zKIOr+G0UlfyWg6G+iaT8Z2EHKBv73Z5uk9BeoNO1S6lMTzJfWmyVzVpmAbXLipxmzD4akXTLyWxfplHhec3dvMFfv+nxse6vvy87sfPPT6i8/5fsPv+w9wgE9+5hayQ29XH70t+9x7zi0+f84G8ab9R08Yd+8yeGBvAdGy2DoiWTOqUy4IGk1FMa/R32MyOgDnbGixdnSWG+6RtIIsRRNyhsI2wNDC2sKGK2n60fDT6APUZTg2U2/fRDJCULLo67/NvwWLwNhOsIoBlTL1Hbkop7n/kgM9ccuXlM/Q7SyTAipdz7c3WOr6h5Y8TlqL3zsepxg2tzR0P7oFIAQtV6fl6OF8e2iXmPmizh/90yAnTmbIGAFSahi6xDQUB09ITk0ZtByLcl6yctBl9XBArdWizg5Wrlj98+98++//2/ahLcE73/b+HwT0vv8UJV6/9V9/gfu/9S/qw//73i/98tvP1UeH+as1yw6UHt3bZCZXZNtqg7UrHCbm5tl3LM9Qr0alKBiohPLhfMNBSB1LE9h6QMaEnKUwdMF0DY5WfaqeJKtJioSAjjXe0FoJ9JT1jnXj0+WpLgZfZyFGmpS0U187M0lf9mrjt5vvdL1nUoETZV6KRAtPfrvwD4zG7USThdPfcFHwPeLWhu5jmw6m4dB0dabmbGbnLQw9IMiAYfj4vkYgJI7nMr0AA7M+tuVRzhtkMw57TjaYmswyNWeiVIHxBZ8n9mQ4d+vo5JXX/NjMihXrD07N/4TaeJb5g4Ldi3e2eiXXJa//Kf7Lm87l3T8W/MvPvHXwV2v2hVNHp4dYvzxg/ao661ZO8u1nfDxfUsxJ+so+owNV8rlpvvW0TivIkTMUGUORsxTlvGS03+CcTRo/d/UUO8bGmW951Lyw53TIHSNwa6DrYBoCwxChNRepacSpFI/YCnbQlBf741SyVzpLzF7iSr1gkWRJIpO2+xMGnZp2/B7poFfcys3zBI4rcFyJ54V0wvfD6WUAUgSYukc+W+fZw3X++U7BzmcNDp20mVkwqTUNmi2dRstEYvP67fNUnSaHpwXT86FKoku4bPs8z59w2Hu0xTMveJy/qcz7f3bz1KS//v/dsn7DetPkO5Zl8INcPzALHq/3/swv8F5g37G5f3zbm3R988oHP37nt27u37WvgW4F+F6GoYrOQC+sHa3SV5nii/dIPvOVIXRlktcDTB2ylqCY0xjoNdgy5nH5DsHWVTPsPZyh6ZfaX8eaCK25qcfADq1xEKgwEOGptpWTgUJpIgFZ5JR2Wu605Y8cMjoDgd2rO9KqlvJI4/8jTTnopCHp1ytABIKwSX30LdLOyQk3RBCEA548LwSzFODpAQFh6oOhK+Jx2obh0XSb/N2tZe5+cJjLNwk2rgrQpIZl6ORsnZZjYhoFfvnH6zj+FDfe04d5wqKY8zkxaZHLZ1g13GTzmM/KEQOj/KaJCy8+/8MXX+r94x99EKxEovmBrR84wOO1dlmJmbmFz114wQVifNb5k6efuKv/r/7dQSPLOVs1Vo80cJnmn+/W+NKdgwxnTZqGT8MJeaNlSnJZjVJeoOuKyTmLK8/1GexvcfBEYr11jWj0ocAyJYYeOqCup6j7AV6g8P0oLyWcudQGlox6jrfD4Kn8j/QKj3UkcXxvK+V4xpFb6LTY8QaOtWotel2YCBXKer6QNFuShiNx3bDa3TDCWkpdKjw/rI9VhCrJ4QnFrTsLDBbB833maz6FnEEpr+EHAkP3mJm3aDpFfv7KeWxjmvueLHLgVI5yweSSbXl+4dpxTs0Mc82VV04sX33hbyufz0n9lY9QvtT1qgEcoKdUQCnn79/9ltd4GUt8UtO+1aP7NdavaDFVneWzN5scHy8wUjDYMKqTLy7wlQcFXmBi6pKspZG1FbYZdq+1zVgbVxG4Q45uGQLLEmQsScbSwjEsXsDkXIu5WniuoQusGOQizN+Ob0KEAPaDsFtrEJl8KUSUqZjMZD8jeT7DSmUHJKm9Ms6UDN83CEIu7Qed9ZNCxJ2OQ03bNAJMPZT1lNI4esrE8SSGIchagAqbqppGSFl8X7bD8MoR+BlouVBvBjRa0HIFmlRUW01uvK9Mj1Viw0qb97xmlku3zfLFbwY8f6SIYVisX7OGq6++eCZTufJDU3PG5/t7f7CUpHu9qgAHEMJkfNq9/rILL55e1XtyjdPy/nTvvm8a/3Cbwfx8kTV9kr6iZM1yyYXbm9z7vIG3YGGZgowlyFo+GdsjY3k8e1AwW9UxNYGpBZhayLktMwR2LqNTyEpKeUUh5zLTmOfJI3l6s4KiHQ4bhfCrXtPCcdGaFlKUGFyBCvCDMOwtZTzbl6gvSOrvgkXUpnup0zilaeUmLmIAhYfA88HzQ5CH6ka4wbRofIgmFZbhk8+6lApVnjsGuw9XyNs6hVxY5IsQ6JqkZUocT8P1w5KzUk6yYazJ0ZN5Gg40WgGNZkDLCT3oE7Nw43csXrPeJ2PZ1Jt9rBg2+Nmr5vnc1xWVkTe4U47+m4PLX7M/l5E3C/Hqght+CAAOMFAxgqNH9t20ZtN7zNnJx+p11//LbaueFkVLydmGj9vSGOp1kbKGED1kLchmNAq5sFVzLhqEddedJtMzGXpzKtTJDYEVWXDb0shnJeWCoq/sMjZSQ7cXuOEhE01myBh+lJQUOaW6wDQkhh52cvJ8het7uG44ARgp0JVqO6Np2tIVQDzz6nYUoxfJtrqhkkoeIWg6Go1WCHQpwQzCAI+uCVChjq3rAYVsi3x2lrueKHHocMDqAQ8VKARGJO2B5UgcR+I4Gi3HYKBHcuW5C/zFv/dSbQmqjYBqw6faMKg3DaSQCNHk1IzOpkBxZKLFUy/kGB4uBG++6iy1ZtWG/3bu1i3/cPjQCWfzpnWvNqyAH7CKcqY1unwtJ08ddFw5ev3A4PrNV1269Xd3bC1h63VWDilWL5vlrifg5CmLSl5SymtUSj595RbFfBPLbtDwNZAmeVNhmwrLANMEy9LIWJKcrSjmfMp5l3KhSTHn4AQ+zUh1gRA0ugytt2VKspmwSU1/WSNQgumFgGpD0XJUmBIaqHYvQIjlxHSF/tIQ75jW0MXtBUmQytAVthVQyHn0lh106TI54zG34FNrhAOcWq7A85Opx+HG8NA1l7kGTNclc/WwB3e96dFshVa56UqarkbTCRUSz7OwNR/PdZlqSCbnYWbeZ66qmJ43WN5n8Nqz59l7yufQyYCFukuDXjB3/O7qVWs3b18/cP30zJEfGnDDDxHAATZt3Mj6NSsazYXpPW9+29kfX/A2/OHo8rP8sdE6X31gjr+/vURG1ygXJP1lxUh/DdOcxbZq7DkkuG1ngaIpKNmKnBVablMPuaZtCbK2IpfxyWUdsnYTXXNppxWlVBNND19nW5JCFvpKAVtWNyn1zHBk1mOqKmg6Cs+NevRFb5BU1dMBcnEaM949mSHosuQhUAMylk+l2GSkf5K5xkmeO+wwPe9Qrbs0WgGOl9CWoL3XQrC7vs+8A9VmxKmbAc2WouWA4whajqTW1FmoW9SbGa48z2fVihbzbsCC8jg27TM54zE9r9F0bH7uqjrXXnqMk3Me69du9t/02rV/+Nj+Cz5+9MjMnr7BscbY6lemEueVWj8UFKV7XXDZT/A3133F/6Wff+/vvXBkwrjplm/8xFzj4eWXbnIyC9MOAxWL1cscvGCBz9+ucenmEj0lydycTV8WeguQtSThxG+BoQlsU5G1A7K2R9Z2MXSHhqMQQseI8lo0DXQ9tN6mKclYgkI2oFJ0GR2s8q6BSe7d3c/khIlt+Bg6mBGY2pFHKVLlbV3a4hJAj/O3VRhAxBdJcEZIha4pbNOjUmxyYrbGv3y7iN9UWHoQJp1pIY2yDYEbyYHxTSmdkungeAE1R1J3AjJOQNYNB/j6PrieYKGmowLI2jkqhQX6SoJtIy4Xblvga/dlOXBSY6Ai2XNEZ67Rx4ZVJX7yTRe3tu543f+yrOHfe+rRG9h27ttfbdgsuX4oAQ7wSz//Dg6fnEXXtY9qWuZ3rn7DT322HNy49f5dXFi063qgWjzzgs/R4xUaq0xMu0EpqzOUh+UDBmiKU9MeGV9D18E2IWv7ZG2PfMah7nh88e4sbssgm1ehnBhtBkOXWIaMCmcD8lmPXMZBuB5B4NNwwfVFe4qzjCOlEdi0KLtLBUlj+qXy2SGx3qR4vO6nIo4iDKVbhouhu9R9QbMlqTV9bCvANH1MMxyS6nrgehLX02g5Grap887X19i5z2G+maFoQ7alaDoBnq/QNIFlupycEkzOGhh6jt6gQMFU5PQsq/oCdqyts3u/zp6jHtlin/f0Ye2BT/z3awMjv/mBA4eNjyg1iRB9rzZcTrt+aAEOsGKoDNEQu9tu+fr7a+LqwlnbZ/92YX7fu5/cd1I++nxAKWewdnmNO3ZJipbOykGDjWMSpc9yaELhuAamLsjZIY8t5VvYlhOVxeUwhEbG8DH1KBgUW3ADLCPkv7blYZsuPl7Yfy9uSiQScBu6xDAkph5Ki4ECDwj8kKPLqA93qLgQPQ5HgHh+OF8+PkeToRPZDkBFbRyUUjhuQNOFhqNotcCxA1w3iICdRCxbjoHvm/QXGxjKo+oKZmoS2wg3respbBMy9gx7jkhU0IOuWdh2kfPWzfPNhwvMLxict9anlDWR1kiwfv3aL19+cfkXd++dXbjyqu9PgcIrvX6oAZ5e11z7ZvbsP7BgmNavzEyt3afkI1ulOfs20TzA8dkaT+/NsazHYtWwzurROsdm6pyYyjO8KuTePUWX4d55AhromoenFIahYRqQMSBjCkwzBLeuy5B+GArT8MNhWobLyXloeXEBdNgbW9PCCGlIaSSWEQaXXA9qTfD8gCBQaFKGzXNFGE3VtNByux60nLC8S5PROD8hMXXwvdBxjG+GBqWMy8xsQMOTtDyF64YBG9dTOK6g6UjqLY1GS6fpmLQcHaUCWgG4ms+xWYFlKHqKPo6rM9wbUPVh/JQbSah5to+5PLF3gYeesXndxTtYtbJ840XnnfP0iuVDf15vNBcGhn54nMgXWz8yAAdYv2YMYPLp5w7/zrazf2LlmtX7mJvpe9u/3fo0Wc3h7A2C5YM+mtbiyf0KlE0xL+gphSrM0el5Hno6y1svtSjkG2hSUjAV+QzkMhLblGiabFtYXVNYRoBl+Oiay+07TQ6Om1QiEOtRgMg0JBlThu9jKywzwPUEc9WAat1DivAbQdc1pATDAMsMU319H47Pe7hegGlIsr6GkGAYkowXhdl9ieNKlg8orjq/zl/cqGi6EtcLQksfRDknPjRaAk3TyVgGzZaJH+igaSzLKt56WY0HnoV9p/JUCgFzNVBBlu3r5rj9pMfhE4KWo7NtTZYfv0ynJc9m3cZNN55z7roPNmu1Q5n88lcbAi97/UgBPF5bN65AeVOH0DZ+6Nnn9Ovf9saNv3bohX2vMYLHOXyyhmkFPPa8zWhF0FOULOuvs/dEjX+8vURGlDi8xmftigU0qVG0oZyXDFRMTENQa4T8VIgwBcA0fCzDw9Bdjozr1Bo6g5kQ3LFWbluSbEZQyoXdAcoFh3y2xi2PZvEaknIW8lkdyww19YyZyJWVcp0bHjDpscLX+0H4zWDpgpYlcDyJHwhcTyNnC5b3e7iBT8PTaHkRvVFhOoImFTPzUGsIdM1goW7ieAaWIVjdJ9g0kmf72DTX31nl6HSJ4f6A45MZzl87yz07FX0VF083WLH6fNavX39PzbH+vFBe9+SBw+6h1St/9MANP6IABxB6L8A+pdS+zRt5+lbPHVb6yr+xC3vX7j/6kFa0DIZ6JH2lgL6eGT7/7yZHjuV57TYjDHcrga0LyllBX1lnzahgsHeG2x4wUCqLQGDqKuTfloNhOBimhqYJdKnCzERdYBmh5c9nFKWCx0ClwejgLA8/X+WJw8vo1cKqGF0PyAVhWoBtKUoFl+G+GpnMJMtHLR55ZoDVFYXAD1UfS5J1I+fRDTMAPV/Dcz0Cz6PqmjQdgeuFjmwuA1m7wX1Ptegv5jB0nbkBC9c1wgG5KE5OZnntOS3ecfksf/5vFpNzBscnDKQssn6lx8XnXOxv27Fyn2hpv7R6/cUngD1CvPR0gx/G9SML8HhFH8Cee5+Y2oMKrhmq5JZt3HLul4vF+4rHjh3PmdYMD+wWLCxYrOgT9JYEGcvjnl0Gz+232LJMMFDR2LhqgbuerLPneJGNy8LoYdb2KBfqFPMLGJpLENgIpdBlDO5ETsxnwg4By/rnePj5Gn/8TyVOTUmaWUXGgpwdc3FF1vLpybfoK8/TU2zxez9b5w+ulzz2bF87sJNt+bQcQcsJnUbfDzeK1BQEHnN1l3Fdo5xTBH6Yf7JuRZ1js1Xu3mnRU5Acn7TYvgYuPavFwYM5puYUR8azlHNNLtjcpF418SlQU2fVfvkXLp5vtfx3rls9eEzT5KEfdWDH60ce4PG6fEcv83V1yDD7jtSrtS2eKy666MLgfx89+pz32FN7Km8460Dh2ClFf9lF4DNbN0OVoUcy3BcwUJnl1HzonGlSYFsBfeU6C615vna7xaWbLC7b7HD7TgeBHmUnatHPUGMfrDTYdaDOn3yxB+WX+Nkrmjx3rMGJkyV686FiommQsX36ylV2H2uy7/4+Lt8m+K2fnOUP/8ng0MEyPTmF4wS03JBTN50w4+X4tMY9TxU4e53GJVsm+dauPBPVLMNOOH/SNiWVkmJ8weHUtMb4tMG2NRkyGYUfBJycdth3THJyocClZw0sVPo2Tm/asFG3Le19pd5VD/aUCnPgB0L8h4HFD1ck83tdxawgo4tgZnphpqcycluhUFx/6ze+suan3v0z/8PLvvaZwaHBJ+qBaB6byiGVYqisMdwrGR2ocftjivufttE1sExBb8nDp8pf3JDjxjtHeXbvKMOVPH1FD0NTkeKgYRgSIUKNHVHjjscNWrUs56zQuHqHzX9/Z5NAtKg2aVvwfMZDyRp/9qUK39rZy5N7+8gbRa48p0qgudRaoTbquIq5KszVNDxfMDkvOTFe4OzlBd59aZFfffs8SneYXoCmA56vcelWlzecX+XwhMfxcZ+j4xk8T7JlbZYVY3azp6fyxC++a8cz1177M//jazd9dU0+X1y/YvnwbRm9PiOE+A8FbvgPZMHTa+3qYQgxUt9/8ACmof+pQvtTo7hB0638X44ONdcf27X7sst3NLSx0SaT8y0e2GVw4TqYmQmwTSgXGuw64PHoMwPsWClxHJ2p2Qz4PjkLBnt1BnoDDp9S5CxJPuNzatbn8T0Z8oZOpShpOYJK2WSwUqPazBAEoR6etV3G5zzqdZO+omJqTqfezHLOuiq9PQ7VpoFtSHoKLkdOBQhhsWaZjmkrBgpgSo1DJ8pctN7hO2tqHDxk4rgB47OC4wdKnLe2ycxMi+MzFvtO9PHm1xi+YW6+77wtYs/cfP0DftD0TcvmT//kf6iBwTX1V/vz+n6u/5AAT681q8YgqbPxdr8w/YtSs3pGVp7/sfkTt5mt6l7/GztXnDMypJ/7+m1H+NJdLcoFyeHxKv94S5EdYzrL+gJmqoqeHh1NKgq2ZHQArOwcux7MMdRjYhoutZaHoevksgLbCosfKgXBWy5t8vmvh1KelIp81uXvb88yP69BMbS+8zULNANDc6h7OTRNsG1djaePgDeuMV/X6TE0MoagXFQcnYBAlXnvleP87U1Vjo8rKj0u336ylw+8Lcd/Gm49ev3t2cccY4V22eWvccrlnv8PnJk+MfhqfyQ/0PUfHuDda9PqCsAM8F8BPvWP32RojNeMloOrN69Z/s5rhdzQW2xx2/2PMTagsXnUx7LqHD2VZf0qD8vSydoavSUPOztH1siRy4BtNXl4l8GpKZuNg2AbAkMLCJSJLlt4noMfZEMVxWziBTqakPi+otlS1Boaa5ZrnL+xxa33eVQbBi3HZKpaoyV96g0N07KptiBrNdh/0mdqPkMm38frzvVA28GalVlU2Xp+bE32y2tXuLdf9Vpxj1n5cX7zV17tq/7qrf/jAN69PvjeNwDc47ZO3QPb7u0ZFmvGp6aC+j1Hgve8sTRWqQx/+MSJfRR6iihtD25rgaZs4vk+tz9qsaIflg802XVAsedQjtG+sHKmpxSONp+Z0xkp22xY4dBwc2TMgGeP6ExMGvQUJBPzAUMLAY7rcWzcYMOwz5GxJofGTQ6d0HnDWXXufcTE88B1PIYHsqxYOYYquKwYXsmx+amPrx06fGD7OZfIQr5fbvfFfuA2WXz1ysR+mNb/8QCPl2ENAtwWP16Yn0JqdrlVO/SAEAGlStb1xJpf/08/GVyVNSXrRn2+/vjjbB6qse9kk8mFXko5HSGatOoew/2zNFo+B45p2LbFQI+P23BpthTTxyTS11kx5HPgeMCBk03OaUDD0RGUOW8jzCx41FsWl527gpVrL2PzmCCfdRka0++YmlGfFHnf2LB2C5vGRu6pNVuzI8P/F9BLrf8YYucPYO18ahIQYxmzMWibQZAxPT72mRsZKY4zMd/EMrO4juvmh87+/X679mbTrrm92bCJkWUajM/56Oj0FEDqDhMzBralqDUEpVyNSrFgbFgtv37Tbc/+vmVZRsaucWoyw+Xn9bJs/buplHQsM5BW1jwFHBBi2at9SX4k1v8F+Cu4/vrfHgDEYJ95onR02lGjPaALD8vUqDYDDCnDRCvdp1rXsM1wHPZgpUq1WRKXnFuaCwJOZSrf3VTf/7sWr/8fyWYw0qLNGkgAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTg6MzU6MTYrMDA6MDBUXY9jAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE4OjM1OjE2KzAwOjAwJQA33wAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 9}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 8558442
    {'hecke_orbit_code': 343748378705, 'n': 1, 'trace_an': 138}
  • id: 8558443
    {'hecke_orbit_code': 343748378705, 'n': 2, 'trace_an': 6}
  • id: 8558444
    {'hecke_orbit_code': 343748378705, 'n': 3, 'trace_an': 0}
  • id: 8558445
    {'hecke_orbit_code': 343748378705, 'n': 4, 'trace_an': -6}
  • id: 8558446
    {'hecke_orbit_code': 343748378705, 'n': 5, 'trace_an': 447}
  • id: 8558447
    {'hecke_orbit_code': 343748378705, 'n': 6, 'trace_an': 0}
  • id: 8558448
    {'hecke_orbit_code': 343748378705, 'n': 7, 'trace_an': -6}
  • id: 8558449
    {'hecke_orbit_code': 343748378705, 'n': 8, 'trace_an': 9}
  • id: 8558450
    {'hecke_orbit_code': 343748378705, 'n': 9, 'trace_an': 0}
  • id: 8558451
    {'hecke_orbit_code': 343748378705, 'n': 10, 'trace_an': -3}
  • id: 8558452
    {'hecke_orbit_code': 343748378705, 'n': 11, 'trace_an': -28668}
  • id: 8558453
    {'hecke_orbit_code': 343748378705, 'n': 12, 'trace_an': 0}
  • id: 8558454
    {'hecke_orbit_code': 343748378705, 'n': 13, 'trace_an': -6}
  • id: 8558455
    {'hecke_orbit_code': 343748378705, 'n': 14, 'trace_an': 120975}
  • id: 8558456
    {'hecke_orbit_code': 343748378705, 'n': 15, 'trace_an': 0}
  • id: 8558457
    {'hecke_orbit_code': 343748378705, 'n': 16, 'trace_an': -774}
  • id: 8558458
    {'hecke_orbit_code': 343748378705, 'n': 17, 'trace_an': 9}
  • id: 8558459
    {'hecke_orbit_code': 343748378705, 'n': 18, 'trace_an': 0}
  • id: 8558460
    {'hecke_orbit_code': 343748378705, 'n': 19, 'trace_an': -3}
  • id: 8558461
    {'hecke_orbit_code': 343748378705, 'n': 20, 'trace_an': -137913}
  • id: 8558462
    {'hecke_orbit_code': 343748378705, 'n': 21, 'trace_an': 0}
  • id: 8558463
    {'hecke_orbit_code': 343748378705, 'n': 22, 'trace_an': -185478}
  • id: 8558464
    {'hecke_orbit_code': 343748378705, 'n': 23, 'trace_an': -68376}
  • id: 8558465
    {'hecke_orbit_code': 343748378705, 'n': 24, 'trace_an': 0}
  • id: 8558466
    {'hecke_orbit_code': 343748378705, 'n': 25, 'trace_an': 507585}
  • id: 8558467
    {'hecke_orbit_code': 343748378705, 'n': 26, 'trace_an': 0}
  • id: 8558468
    {'hecke_orbit_code': 343748378705, 'n': 27, 'trace_an': 0}
  • id: 8558469
    {'hecke_orbit_code': 343748378705, 'n': 28, 'trace_an': -12}
  • id: 8558470
    {'hecke_orbit_code': 343748378705, 'n': 29, 'trace_an': 943980}
  • id: 8558471
    {'hecke_orbit_code': 343748378705, 'n': 30, 'trace_an': 0}
  • id: 8558472
    {'hecke_orbit_code': 343748378705, 'n': 31, 'trace_an': 920739}
  • id: 8558473
    {'hecke_orbit_code': 343748378705, 'n': 32, 'trace_an': 3005136}
  • id: 8558474
    {'hecke_orbit_code': 343748378705, 'n': 33, 'trace_an': 0}
  • id: 8558475
    {'hecke_orbit_code': 343748378705, 'n': 34, 'trace_an': 660474}
  • id: 8558476
    {'hecke_orbit_code': 343748378705, 'n': 35, 'trace_an': -6225408}
  • id: 8558477
    {'hecke_orbit_code': 343748378705, 'n': 36, 'trace_an': 0}
  • id: 8558478
    {'hecke_orbit_code': 343748378705, 'n': 37, 'trace_an': -3}
  • id: 8558479
    {'hecke_orbit_code': 343748378705, 'n': 38, 'trace_an': 23716884}
  • id: 8558480
    {'hecke_orbit_code': 343748378705, 'n': 39, 'trace_an': 0}
  • id: 8558481
    {'hecke_orbit_code': 343748378705, 'n': 40, 'trace_an': -975273}
  • id: 8558482
    {'hecke_orbit_code': 343748378705, 'n': 41, 'trace_an': -16694382}
  • id: 8558483
    {'hecke_orbit_code': 343748378705, 'n': 42, 'trace_an': 0}
  • id: 8558484
    {'hecke_orbit_code': 343748378705, 'n': 43, 'trace_an': 4412514}
  • id: 8558485
    {'hecke_orbit_code': 343748378705, 'n': 44, 'trace_an': -17341119}
  • id: 8558486
    {'hecke_orbit_code': 343748378705, 'n': 45, 'trace_an': 0}
  • id: 8558487
    {'hecke_orbit_code': 343748378705, 'n': 46, 'trace_an': -3}
  • id: 8558488
    {'hecke_orbit_code': 343748378705, 'n': 47, 'trace_an': 11341869}
  • id: 8558489
    {'hecke_orbit_code': 343748378705, 'n': 48, 'trace_an': 0}
  • id: 8558490
    {'hecke_orbit_code': 343748378705, 'n': 49, 'trace_an': 11347482}
  • id: 8558491
    {'hecke_orbit_code': 343748378705, 'n': 50, 'trace_an': 40948977}
  • id: 8558492
    {'hecke_orbit_code': 343748378705, 'n': 51, 'trace_an': 0}
  • id: 8558493
    {'hecke_orbit_code': 343748378705, 'n': 52, 'trace_an': 14465511}
  • id: 8558494
    {'hecke_orbit_code': 343748378705, 'n': 53, 'trace_an': 0}
  • id: 8558495
    {'hecke_orbit_code': 343748378705, 'n': 54, 'trace_an': 0}
  • id: 8558496
    {'hecke_orbit_code': 343748378705, 'n': 55, 'trace_an': -12}
  • id: 8558497
    {'hecke_orbit_code': 343748378705, 'n': 56, 'trace_an': -52215771}
  • id: 8558498
    {'hecke_orbit_code': 343748378705, 'n': 57, 'trace_an': 0}
  • id: 8558499
    {'hecke_orbit_code': 343748378705, 'n': 58, 'trace_an': -19078611}
  • id: 8558500
    {'hecke_orbit_code': 343748378705, 'n': 59, 'trace_an': -76116738}
  • id: 8558501
    {'hecke_orbit_code': 343748378705, 'n': 60, 'trace_an': 0}
  • id: 8558502
    {'hecke_orbit_code': 343748378705, 'n': 61, 'trace_an': 34059450}
  • id: 8558503
    {'hecke_orbit_code': 343748378705, 'n': 62, 'trace_an': 223709616}
  • id: 8558504
    {'hecke_orbit_code': 343748378705, 'n': 63, 'trace_an': 0}
  • id: 8558505
    {'hecke_orbit_code': 343748378705, 'n': 64, 'trace_an': 100663293}
  • id: 8558506
    {'hecke_orbit_code': 343748378705, 'n': 65, 'trace_an': -20396037}
  • id: 8558507
    {'hecke_orbit_code': 343748378705, 'n': 66, 'trace_an': 0}
  • id: 8558508
    {'hecke_orbit_code': 343748378705, 'n': 67, 'trace_an': -103603884}
  • id: 8558509
    {'hecke_orbit_code': 343748378705, 'n': 68, 'trace_an': -101921427}
  • id: 8558510
    {'hecke_orbit_code': 343748378705, 'n': 69, 'trace_an': 0}
  • id: 8558511
    {'hecke_orbit_code': 343748378705, 'n': 70, 'trace_an': 135373629}
  • id: 8558512
    {'hecke_orbit_code': 343748378705, 'n': 71, 'trace_an': -125718795}
  • id: 8558513
    {'hecke_orbit_code': 343748378705, 'n': 72, 'trace_an': 0}
  • id: 8558514
    {'hecke_orbit_code': 343748378705, 'n': 73, 'trace_an': -7632642}
  • id: 8558515
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