Newform data - 10.22.a.b

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• 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': 4840, 'analytic_conductor': 27.94773442870621, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 1]], 'atkin_lehner_string': '++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [10, 1, [7], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 157921, 'field_disc_factorization': [[79, 1], [1999, 1]], 'field_poly': [-39480, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-8368290684, 126692, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599996469258, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 560, 'hecke_ring_index_factorization': [[2, 4], [5, 1], [7, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '10.22.a.b', 'level': 10, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '10.22.a.b', 'nf_label': '2.2.157921.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{10}q^{2}+(-63346-\\beta )q^{3}+2^{20}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '21.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '10.22.a', 'trace_display': [-2048, -126692, -19531250, -292598684], 'trace_hash': 1085699694826622100, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.939', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.470', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.244', 'prec': 17}, {'__RealLiteral__': 0, 'data': '65.600', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, -2048, -126692, 2097152, -19531250, 129732608, -292598684, -2147483648, 11866737826, 20000000000, -41326831776, -132846190592, 1887051472228, 299621052416, 1237226562500, 2199023255552, -3100413932364, -12151539533824, 7175794652440, -20480000000000, 199718603894264, 42318675738624, -357559990100052, 136034499166208, 190734863281250, -1932340707561472, -2563616231988920, -306811957673984, -2454584202185940, -1266920000000000, -4310677151243336, -2251799813685248, -21000167846983104, 3174823866740736, 2857409023437500, 12443176482635776, -32389201650205724, -7348013724098560, -126386038156081288, 20971520000000000, -16298035212712116, -204511850387726336, -161845702253479412, -43334323956350976, -115886111582031250, 366141429862453248, 153492993930726996, -139299327146196992, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [-1024, 0], [-63346, -1], [1048576, 0], [-9765625, 0], [64866304, 1024], [-146299342, -7317], [-1073741824, 0], [5933368913, 126692], [10000000000, 0], [-20663415888, 953802], [-66423095296, -1048576], [943525736114, 276588], [149810526208, 7492608], [618613281250, 9765625], [1099511627776, 0], [-1550206966182, -91257948], [-6075769766912, -129732608], [3587897326220, 94588992], [-10240000000000, 0], [99859301947132, 609802024], [21159337869312, -976693248], [-178779995050026, 1367788329], [68017249583104, 1073741824], [95367431640625, 0], [-966170353780736, -283226112], [-1281808115994460, -3498447142], [-153405978836992, -7672430592], [-1227292101092970, 24068000664], [-633460000000000, -10000000000], [-2155338575621668, -49224324726], [-1125899906842624, 0], [-10500083923491552, -39756125604], [1587411933370368, 93448138752], [1428704511718750, 71455078125], [6221588241317888, 132846190592], [-16194600825102862, 244322496072], [-3674006862049280, -96859127808], [-63193019078040644, -961046479562], [10485760000000000, 0], [-8149017606356058, 786492212076], [-102255925193863168, -624437272576], [-80922851126739706, -24734886273], [-21667161978175488, 1000133885952], [-57943055791015625, -1237226562500], [183070714931226624, -1400615248896], [76746496965363498, 2519823814083], [-69649663573098496, -1099511627776], [125718008341678557, 2140944570828], [-97656250000000000, 0], [1228064648718632172, 7331032940190], [989358442271473664, 290023538688], [302099178658910154, -10057652812332], [1312571510778327040, 3582409873408], [201791170781250000, -9314472656250], [157087722329079808, 7856568926208], [-1398385859348280920, -9579731613452], [1256747111519201280, -24645632679936], [1555098678987336060, -6597356861772], [648663040000000000, 10240000000000], [-395571104880225838, 44328267927648], [2207066701436588032, 50405708519424], [-12345307312333484846, -61949416573085], [1152921504606846976, 0], [-9214118516738281250, -2701054687500], 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[-2242349549876336979873400089396840660, 2793264681077993042498472567660], [1918407013210358603359605618823262954, -13520845204059032966314446865056], [2913144412713301343677675222496308458, 12528463977935136690799407223608], [-337312629623462773985899430067573186, -7827277105208024360534486201697], [200421572173343294721881820687690270, 22232168061235909658810504372916], [4370865947014504027580428193227010072, -1371778905448903015583942100786], [-2612580455221169698554024564095254200, -19952298567761214383490291067224]], 'char_orbit_index': 1, 'field_poly': [-39480, -1, 1], 'hecke_orbit_code': 4503599996469258, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 560], 'hecke_ring_inverse_numerators': [[1, 0], [280, 1]], 'hecke_ring_numerators': [[1, 0], [-280, 560]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '10.22.a.b', 'level': 10, 'maxp': 2999, 'weight': 22}
• mf_newspaces •

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

  
  {'ALdims': [2, 2, 2, 1], 'Nk2': 4840, 'analytic_conductor': 27.94773442870621, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [10, 1, [7], [1]], 'conrey_index': 1, 'cusp_dim': 29, 'dim': 7, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 369098762, 'hecke_orbit_dims': [1, 2, 2, 2], 'label': '10.22.a', 'level': 10, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 33, 'mf_new_dim': 7, 'num_forms': 4, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 7, 'sturm_bound': 33, 'trace_bound': 3, 'trace_display': [-1024, -17336, -9765625, -126415972], 'traces': [7, -1024, -17336, 7340032, -9765625, 36282368, -126415972, -1073741824, 41383462411, -10000000000, 135710538204, 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• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 6946
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.22.a.b', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '10.22.a.b', 'target_level': 10, 'twist_class_label': '10.22.a.b', 'twist_class_level': 10, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 22}
  • id: 6947
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.22.a.b', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '50.22.a.f', 'target_level': 50, 'twist_class_label': '10.22.a.b', 'twist_class_level': 10, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 22}
  • id: 6948
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.22.a.b', 'source_level': 10, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '50.22.b.f', 'target_level': 50, 'twist_class_label': '10.22.a.b', 'twist_class_level': 10, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 22}
  • id: 6949
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '10.22.a.b', 'source_level': 10, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '80.22.a.d', 'target_level': 80, 'twist_class_label': '10.22.a.b', 'twist_class_level': 10, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 22}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 45025
    {'charpoly_factorization': [[[1024, 1], 2]], 'hecke_orbit_code': 4503599996469258, 'p': 2}
  • id: 45026
    {'charpoly_factorization': [[[-8368290684, 126692, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 3}
  • id: 45027
    {'charpoly_factorization': [[[9765625, 1], 2]], 'hecke_orbit_code': 4503599996469258, 'p': 5}
  • id: 45028
    {'charpoly_factorization': [[[-641456877485696636, 292598684, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 7}
  • id: 45029
    {'charpoly_factorization': [[[-10836498403845106477056, 41326831776, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 11}
  • id: 45030
    {'charpoly_factorization': [[[889293656307747200659396, -1887051472228, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 13}
  • id: 45031
    {'charpoly_factorization': [[[-100706041520210954024848476, 3100413932364, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 17}
  • id: 45032
    {'charpoly_factorization': [[[-97900815420998031771321200, -7175794652440, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 19}
  • id: 45033
    {'charpoly_factorization': [[[8799343789463110035303258276, 357559990100052, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 23}
  • id: 45034
    {'charpoly_factorization': [[[-5665683035383492547213214313500, 2454584202185940, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 29}
  • id: 45035
    {'charpoly_factorization': [[[-25354116877766420094991125384176, 4310677151243336, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 31}
  • id: 45036
    {'charpoly_factorization': [[[-476800287871183307839308970186556, 32389201650205724, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 37}
  • id: 45037
    {'charpoly_factorization': [[[-7592112636642706014025681053267036, 16298035212712116, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 41}
  • id: 45038
    {'charpoly_factorization': [[[6540932954015409874836025012580836, 161845702253479412, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 43}
  • id: 45039
    {'charpoly_factorization': [[[-72723324581241708098759871875893596, -153492993930726996, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 47}
  • id: 45040
    {'charpoly_factorization': [[[-1161153875590951076862414668480329884, -604198357317820308, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 53}
  • id: 45041
    {'charpoly_factorization': [[[1879447142297605981269931857600426000, -3110197357974672120, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 59}
  • id: 45042
    {'charpoly_factorization': [[[-24172143350112449844267806755537383356, 791142209760451676, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 61}
  • id: 45043
    {'charpoly_factorization': [[[-105491873007795396591574261192572986876, 5111819523383561564, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 67}
  • id: 45044
    {'charpoly_factorization': [[[1567507427592734667123148836235244394384, 82388741313238482456, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 71}
  • id: 45045
    {'charpoly_factorization': [[[12731905025057294326584329609454665476, -10657918464992348548, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 73}
  • id: 45046
    {'charpoly_factorization': [[[189723518094618968557695705902174324800, -28314166125451369360, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 79}
  • id: 45047
    {'charpoly_factorization': [[[-1803421670518084587226774039865642590044, 10427725705926651732, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 83}
  • id: 45048
    {'charpoly_factorization': [[[57225070666685104909804797873318488168100, -478501472814113520180, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 89}
  • id: 45049
    {'charpoly_factorization': [[[-131211413258066126558113309468880642774396, -545226897779926992196, 1], 1]], 'hecke_orbit_code': 4503599996469258, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 2, 'label': '10.22.a.b', 'level': 10, 'portrait': 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TEWV01GKwGVksPEhq1ZbWjn70qj/OM6i9vvfNcHv9OQ+H/0+jMN8DRucfaKZrjGzzaWL9/72ktflm9e6t2rgzlj56aMKCrR6kmm5uHV8yn1oTY/+eEIR43wyimPYxdjzs3EeOUuP/nRDoe3ecws1lhqWCw1FEurmvmVhOnllMVOQq0ecN/hLnftB0u62MpmYdVhbtlgflXQCyFJMhwro+Sk1KsJGTA5n9DuwrZxk5IborUAYdH1M7ZuCFlpGqDzVqTZhTABjWa1FbFpzKTjK4TSiCyk4phs3RjQ7AkmZw3SzGC4Iik7AtuEJBH0Qsn8qmRuRbPQSLDtAMyEuw92ufcGwWjFZXm1wrVFm7llWFpNWGmlLLU0U6sZN+xu8pMf6VGxapyfrHP0guKVsxGG1+GnPtJgpFzntTM1puah1cvoJT5bhlO2bKwlM0vDL73z0UdOnLow81c+/sH36CRJs9GR6ncaKn/o688swM8e+x323/R9xOHCz5w8+tT//+tPHbMbrQbDlYSeL7m2kvLAzTFZXOXKrMml6YSTkzFepc1PfSTCNUY4es7l9JWY41cTrFKPv/MDi9y03Wa1WWN2qcTCqs3CqmCpkbGwkjLfSOlGCWGWsGdLj/07YbUhObAl5IGbMuJEIdB86SWHxZbD5qGQq3OKbrfMjbtTFtsJk7Owd4vkwizcvS8j0yG92ME2IiqOwYunXTw3xlYJUapJU4M7D/hcmrbZuy3myiwsN0rcuDulHQRcWlBsGQpZbUd8+YiHFoo0TXnw5h67tmjmmya37ArYNWGSxB4932Vu2WF+WbDUSFlqJCw2MmYasNiLuWFXk//1+yM8c5jjF2qcvgxHL8UYpTZ/7aNNavYwJy7VuDQluDKfEAifh27WzMy7tHsxm0c1plnynfrNUx/5wLs+u3Xz2N/7t5/8HH/1Rz7ynYbMH/j6Mwnwz33+c5yb3qvu3PfGP7Dlpf/11Jk5dfGa4shZyfvv6zHilvnW6wrLa/L9j/TQ6RBvnitx9krCickYp9zhpz4a4hlDvHKyxOnLEWdnUiIVcfuBVT52f8j2sRLtboXFhsvSqsVyS7DaylhpZTQ6GW0/ox1qekHCcCVm63gGCGxTM71oIqTNtjHFjgnNxFiPhUbIsQtlbt2j8dwGJy8OUS5FRJHJcD3DD+DA1oBPPVVj35aEMNSMVCVx6lN2bE5dDXDNEjfvTTh+OWJhxWLTsM2OjbB1Q4RSMdPLYJkaITTbxhPqZUnHt+n2TNo9k9W2YrUJK62M1VbKcitloQ2rQcqWiS4ff3CV23dbkA1x9mqVk5cEr50NMUpd/trH25TNOicv1Dh9RXPsUkSqenz87RpPVXjydUml3uGD90QcOe6x2DIp1SbSG/dv+Zkf+ljtHz/9TDt9+NEf+E5D59tef6YAfvrMeRAl15Vntx4/efrjz76+9E8ajRmqnslqJ2K0YnP0SsxHH/IxszpfeUkwPrbM972jR6c7ztFzJc5NJpyZSqgNd/jR94Q0Vsc5ek5xbTFiekUz3YREdPngfS3ec0fGzo0OUeTRaDk0uxatjqLRFXR6giDURIkmTUFJjW2Ca2tqFc3YUIxhBlyaizhx0SZLSrzzzgjDbPL6mSrbN8JXX0m4/5DNYsvHMRRJGjNUhyQ2McyElRWP+25p89UXy+zYCK9dCDHxeOyOjET4nLiUcmXawZAW43WDekng2gLLEigBSQZRrAki6PQ0zW5Gp5fR7GWsdDV+mrJtc49339Xig/dGkFaYX64zvegxOWdw/ELEst/iL7wnYLRS5fTlMueuao5fDunEHb73Ec14ZYivvigRVoOPPKg5caHMWL3FUtPDsXy2b51gxd/y97dsvfH3Hrh921Sz7fvbdh78TkNp8PozA/CXXjtPuTxmzc+d/+Gwc+IXO0svism5VF6Z12wc0cwvW+zZKnjjjMXIyDIffJvg7MVRnnxdUKkv8YmHE7qdUc5MOkzNpUwvxTh2wrZxB7TBSium0U5YaWsWOoLZVka92uMdt3W4e3/CtnFFxTVpdxxsUwKKKJFkmSDT0AsAkVEvB1yY0WQ64puvlQh7Lrs3WdxzuEecNXn2jRo37zG5MN+l1ahw1+EeT75uMz6kOTOp+SsfbHPmqs34kOSJNxT3HFCs9tpcvjbEzXsjnj3hk4Qedx+02LUlwE+6fON1Bang0rRBxTMwBPR8SaYFaaaJE0BmGFZGq6splWO2bAy590CPR25JGS7ZLKxWWW56LDctVpoGy02BEAnbNwU4psG1eZOp+Yxz12Kasc/3vj2gZg/zrdcUp6fbfOhBn5HSMK+czziwNWF2NWJ8WHJp2qbjW9m7H7pFP3jXgb+8bfehX+2szEWVkT3faUgBf0ak+ixNZRj23vfUt764e2k1+rkL515Qm0ZjNg7D5TmDpWbGgW2K6SWXobLm1VM1pNnkA3cvUilV+bVvWiy2mhzeZpDqYcquxfiQxA8dLFMgpUAIE9uSeE5CvZyxsSpZ7pR5/LkyX3g65Ma9PhuGUrq9gHfdFbJ9Q0aSSgypiRJ47pTD1KLDxnrGyUsOZEPs36y45eYM2+nwwukeS8tVbtjukYgGc4smt++Bq/MxIyWH0SGw5w16gc3CqoFpmGyfaHH6yhC3HLC5MttmarbGe+9KWWyt8MrpGqeulrhtn8v3PxiA7HLsSsbYUJeFpZhnj5kEscKQYGSa7Rsj3nFXRKermKhn3LIHoqjESsvj5LxNqzidml1Bpwd+mCGl4NI1jyDMWGkmzK8knJ/X7N8bsGUMfv1xyfRKm/fd3+X2vRVeP2OzqRZx5opg7/YeJoqVpsY2I/nmm0cYKvFvX3r9ovfOd77vYhTGX7ZsM/tOY+s7DvDF5R6LK90fnLr88r9cXTw7dHVyGdc2WWwaBHHKPYdCto4HmIbAMV2uzik21kyOvFGl0W5TLzVpBpqnjmbcvGuZm3Zn1EpVVoZseoEiTgRxIvBDQTkwqJQUPT+lF2SMByk7Qk0nsFldcpi+pomSjJn5BNvWgMBSGkMKer5CYJL0DG7aLtg1odm6qUeYdvjaq4qzF+s8eqvNLQca/PrXNJbw2L6px/EXFZtqipFKD0e5RLHJYgdKjsHmccHRsxG37HV54OZlfu1xH8ss88idGtPu8a1XIr76conTV1x2Tnhs35gyWo/YMRJzaHuKUhmG0oDGs21GazZRbNLpWZy8YNINDHq+ohtIuj50fU03SPGDjDBKiRNNnOZLFsttuLQE0u7xjluXqVYFt96Q8HAJbtzuMbNQptWFa/OCU9MZJ6ZK7BjNGK0KSp4kjRXPvfiaqdXIvxwZf2P1wftv++tad39NiNL/uABfbfQQQvzYm68f+dmzJ742dGGqw9iwpOzAYlMxuWQwNtxm//YVur6k1QmJUockNTEknDhdZ74V0w7h1GSZhBXefVuDO/d22RRUWGm7dHomQaTwQ4UfSHqBpBca+AEEkSaIMqJYE8eaJM3fUWKhM5BK5A+WJaiVBfUybBjJ2DzeY6Te4uuvw3NvmsisyqO3mty0v8MLp2OioMI9Nwlavs/iSom792aM1Hq4hk2QKJbaMSoT3LTXwCuHvHHO4W23VLnrxg5vnFOgq9x60OJH37vKk0cjnni1xJkph62jig1DLvWyR7UMrg2moVESMg1nrgjSNH+gowTCGIJQE4QpQZjhF+8g0vm/j6EVCBY7gm4ScfuBBu+6vcfH3ybIMpstdcnCapWL10pcnpHML0XMriTMNgR+HLB5RLF5VNHuaRp+RqI1NW+ex7/+xJBrJv/83nvfZujU/89Cuf/jAfzklSZzbf2jU+ee+9nXX/7mWBS3cR2Hc5MJWydaeJ7D06dcXjxvcWzS5C++u8G2CZNMgxQOlmlRKycsNSWrbc1iW/ONFzfw7LEed+1v84kHlzm0XaGEx2rboRdY+IGZAz1UBJEijARhLIkTQZJAmmly71Y+VBoGOBZ4bsZQOWbTWI+ELhdmYn73WYfL10rUbJfbDxrcfbjNK+dbfPOlCnfucdi6scennhIoYVMpxzS7IZkGJWC00qPdscgSl/fdv8inv+qxa8Hh3Xf2iOIVnj0xTJw63HFwjHff3mbPlhbfeqPH8Wsex65YbB6SDFUEni2wzPwhlAKE0GQaskwTJ8XDGmvCWBNGGUGs8UNBNxK0I8lKB6QZcnBHm0881ObOvVC2y0zPl1lquKy2LBYbirnllPnlkJmljEtLEm10+MnvmePeG0zisMbXXrYZHQ7YNlZiesFBJ0s88+y3xjTpz9533x1a6/lfEWLD/xgAf+rrv87eXXXCzhM/dGm293NPPn96xKPLlXmXAzt9bh8xOHpxmAuzMVPzKat+hVNXHIJ4kZ/44CK7NifY5hCe7VB2TaplxWozoV5KWWwJZptlvvqixyunu9x9qMWfe2SVm3dCmrikqU0vtOn6Jr3QII4VcaJIUkGaCTItEGik0NhWhuck2FaEZYbMrIQ8/prk4rTFlek6KrPZtdHiwA7FrfvbKHuJE5fKbKp53LATNow2WG1XOLRJkmSar79qE/YktVLCY3cEfPnZmKn5Mvt2m8w1A05dNtkyXufGHUu8cLzDi6cEYWSxf8cQ+7fY7N/c4dLcKhdn4NWzHhcul/AMgW1ISrbGMUHKnDXQOn9YkxSiRBCl0A0F7VDSjiDWCZkOuXV3m+9/pMO9B2G47NJoV5maK7HQsFluKJabsNyMWWokzK5orqxqQt3mJz+0zA89JkkSh3Yv5d13p1yaqvHqaYnrhRzeprgw1eDYG98YO3Nh4ef8sJpA7ddT3RC9AF1x//S4jT9VgP+7T36Khx47zwvf2vn9z7wy+QuTM5drG4ZMZpqKLeNw5rLFHTc0uP1ghZGyTVlpmr2MpbbFF56e4PmTLX7iexq8/eaASmmIWrlEfdVmsWRR8lJKTkzZSRluC+ZbFb58pMwzJwLGql0+9mCb/VsCAl9xww7Nlg2KMDZJU0WaSXQf3DLDNFImFzRX5gVNP+OLL3jMLNfRkUndUUwMG2zbYLBzE9ywq00ml/lPXy6xulrlzv0GN+xq8a1jApGYjNUlJS+hF1tILUFLlGHRCgQLq4KD2uPBWzscecNlYsTizhuG+JH3LvOrX+3w6rkS3cBkpVlmx4TLvo097tjb4cNv6zC7usoXX7BZ6dlMzpnMzFiYSiClRCDItCbNIM4y0iSjPhxz+ECPIEw4sCXgIw9EjFZMqp5LLygxOeux1HRYXDVZbEiWVlOWGzGLzYzZBsw2Eh64fYW//IE2G+tl5pcqrLQcGh2L4xcFl2Z9HMfn0HaX6XnNlo0Rl6czNo8/MVKt7vgXrxx99e+nGT+aptFzf5qY+1MD+ONf/izvee/94j98MvuYiK/+crdz2Zte0uzfFjDXUtRrmuFSnSPHRnGdiM1DsGXcpNZNqHsZS23J7FKdf/rbDm9cWuGDdy+wY3OZ4VqVWsnDtS1MQ6BUjKkSXEvT6gmagcvkjMfP/c4wOk0QacKth7rs2BiRJJBlGVrnIo4UAqkEhmlxbsrizEWHkmNQtiQjnmB0WDI2ZDAxqti2MWXftiapWOHffL7C5FSNO/ea7N+e4icdXjphU3NNhquaWjnCc/NWKMskrUCx2tWstFJaXZf7bmjy2pkeZ6cUtYrDHQdr/MX3rfDvvgBvXCzR9TXNjsHCaoUNIx5j9YBtwwF/42M9Kl6L41fg3DWJaWqU0giRATr/H50veGzfkHLPoYQksohTiywt4Yc2s0s5w9JsWyw3DeZXBPPLMbPLMTOrsOKnDA11+Il3NnnPHQLbGGV+qcxyy6bRNmh0FHGScNcN4FllXj+jEMYKI8MpjcDgjpGU185eG/XT3x8NGxt3/KN//YHnP/vZz+iPfvRjfyq4+1M5K44892/YujlSx0+VPzR5rf2br5247ISpZs8mxewCLPda3H9Tlxu3V5hbqjI5Z5GkAiEEXV/T6iQ0Oymr7ZT5lmC6qalWuzx6W4v33aUZq5ZYWKlxbtLj2nzGSium08vohRo/1ASxIIghSARxKvBjTZhAyrqeW4ApwVK556NsQ9WBigvVkqReVgzXDMaGYOuGkI2jTWK9yr/5fJVLl+vcstPg0G6Duw81ePpUi889OcytO1weuEWzfcsMv/RFm6AzxocfzOgkS/zyl0x2jFR54GaTW/Yv8elnfV54Y5R791vcsEtxy94WZ2dW+IUveOiozOaaYsuYYrRuMFIT1CsZ9UpKxYupeDGeG2GbCaaRoFSKFPkvpskfqjhWhLFBnCiiWBFEBmFk4AeKTpA7IZebMLUQc3E6Zq6dUB/yed89TR67NaHulVlYqbKw6rLcNFltS1odTdfPEEKTZDC1kDLTDLlhT4uHDmUsN0aZXczYvcWn0wWrtD+o1Ef/fOaZnyeM0x/9cz/2J469P/EK/ku/8mleOl5RV6enP2roy7929FTD2T4h8X3J5GLGTTvh9dN1/tMXXN77tiYPHAq4f6NLEDo02jYrLYNGx6TcUpTchLKbMlzSzLfKfOZJj6ePdvnAvV0Ob5dYho1jGZQ9MGSKY2WETpbTYQkkaUaakffbGRTYRghQEgwJpgm2IXBsgWdLSp6i6knqVcHYUMK2DT3KpSafPxLx7IkhmssVDm9VbNtosmdLQCqafP1Vj5JpMFpXlL2AE5fIN+63aHqh4sY9MYd3aebnUpYaFn7g8c7bOzx/3OfCjKLkSmyrwqGdGf/4h1Z45pTPl58ZYaWt2TaW0mgZ1CqKasmk7JmUXI1jZ9hWhm2kGEojZT5LIEDr/PdNM0GaSuJUEMeSKJEEkSAIJb1A4IeaJMkoVwO+57Ym7787YqJus7A6ytmrbi4StSQrLWi0E9qdXDhb7Wr8JKVaDXj0Lp8P3Wvw2ulxTl1JObQzZmrBpRckbMwuOKvd4DdvuWH7X7jt8MbPvvrC76Z33PeJ726A1+tC2sHq956+uPQfhu1JJ4iHaXW73H8o5fjFKs22ZMuYohcIvvGi4pmjPd55V5c79rbYt93C98tcWyyx6JmUPYuyl1EpJQyVUzYNSZbaFR5/tsQrxwU3bhd4jsBzFKYSuHZGnGqSRJNm+TvLcqahj24hBFKCkgLDEFiGwLYkji0puYKKp6mVM8aHQkbrHRLd5DPPS371q8OMOQ6Htwq2bjTZPpGxbWODz7+kWV112L9BUa9A2YtZuCpZbNhYOyCMBaNVSa0GF65oGu2M+WWHPdsdHr61w+PPOQyXwbYslKxxaJfgf3r3IqZc5Esv1Dk94zDejhmrJVRLirKr8FyJaxvYFtgmGIbOQS5AivxX1bqo5mkO9DjNW5cc7ORqKLB7i8n37JZsHC4TxxbHLtg0uwbNtqLRETRaKavthOVmytQKdKKELRt7PLQ/5D13pLhGlVOX6kzOKYZKmmvzDsevJtx7OKVaMjh/7opzw3b5yyfOp0aG8TvAn6gY9CcK8E/97peI4+yH2quX/8XpSzOVTUMlKpWEsmNz5HSPOw80yZI6s0sKkHi24Mq84ne+5vLMmz3uPNjlXbctsW9bQMWrUnIdyq6i4lm0e7lYMzGSkSSqoMoEhgLbFGS2IssUadoHd06f6X5PQl65hRAoJTCUwDRygDg2eE5G2U2olRNGaz4j9SZHzkb85jddzl2psb1qsmsDbN5gsXkc9m1t00vavHKmgqtMRuuKWhlq5ZB6NcGyDITIWyI/tFhtxzR7mlY3YbFhsXVDmbv2L/LNV3ucm6ng2TGmshCiyq5Nij//yDK37VvkN79Z5pWTNVa6BmOVhJqX4DkS11HYpsA2JaYpMJREqRzgCJGzK4AuHvA0gzTNH/g+PSqlIM0k1+bqLCznp14QCbo+ucelG9Nopyw0M6ZWYXSkw/vv6HL3fs2WEZf55VGOX3GZmoel1ZiZFYhkwD2HYjrdMisqYM9mRWP5QmVuiX9zz523WG+88uVfvfXO9333ATwK2kgpf+zpb33+Z08fuzZ8z8EQnZQ4fiVlYSXhtYslTk+3+KkPz7Jjosr5ySqVkslwVTKxJJlcMvjckx5vnO/wN793lT1bI2xrCM9xqLgGHV/RCxVRnC8eKykwTYFlaFSxiKczyHRO/+ks92Cvf+WVGwyVCyaWqXGsDNdJKDsJ9UrIxpE2C60ev/hFk6+/NsRqo8TuUcHWMcGmMYvNY4IdEwGG1eTTzxpcvlZi77ikXpZUSylShswsaWxD5tVUC6LYYNtYm1dJafcUjbZmYdVl72aHDz/Y4rPfsri6YGMaMUKYZLpEnEhu3dFg2/e1+fobPT719SFev1piU10wUkopOSmOJbBNgWVKTCN/2KUQCJkDPAd5Dub8XfDmA+4fglDS6siBeBTFGUGY0g1SWt2MxZbg0jLs2trgb32ix94Jl4WVGm+e9ZhZlMyvpFxbSDg3m+GVu/yVjzY5tMXk9fMmUWhz+pLk8lzAeH1++Pj59s99+Hu+R62stv7z8NCfjKf8TwTgWi8C6Y9MXnj6Z89fOD5mmRnNVorjtnjkVpeXTrrsGkm5MlnhFz4veOBwkwcPh1TLQ9TKNrWyYqSWMrssuDRf4+d/F/729y2zbQwso0rJsen6Bn6YS/FpBgiNkrmqJwrRAy3y86/4QvsvURzdUuVHuakyLDPDtlJcO6HshozUuvixz7dOaH736SqvnKxRt0wObdJsHJKMD1tMjEo2j0fs3NTg+FWfLz4/SlUZjFYFlZKg4sW0eilffcmhbGmEyEHjhwbvuyfkKy9ntHo6B07DYPNYmQ/e2+WVsx3OXLAo2Qmq8NFkmUcQ5b3+n3+4xd6Ni3z6mTYvnq4x1XDZUBFUHY1nZThGhmWCocSgisvitOqXct1nWcg/m6LQo2TesgnRN3JpgkjTCzWNrmC6A9u3NPmbH/PZWBvh2PkK04sGiysZC6sR08sZM62E+29b5W2HUvZtqDI5W6LVVBw5Ldg83qLqWISR4Nz5E2Of++qGn33XI3dnl2can9y5qf5nG+Bzi6t4Zka77f3g1Uvf/Pnzp78wLAkYrtaYXary/IWQR+9s8X2PGhw9N8Txiw6nphT//gs27WCVH3i7z1BlmJFqiYW6wfiwxXg95cnTQ/zMb/X4z3+jwcbRDM/16PkWQWQQJ5IkFTmPLXIQraeG9OB/AQXwpQAlM5TSmEaGZabYVoxrR5RdnxSfJ9+Q/PZTNU5eqSJim+11zcaaZqSmGB2y2DAimRiN2bqhzbWlDv/xyyWS0GXzZkGtbFApQcWLEWZE2y9RK2uEEGgNcSIZshVJltCJLTq9lEZbMbPkcnBnmR9/f5Of+x2byaUShoqLB8MgSRyCSLJh2ObW3W0O7+xyanKG333a5Zuv15htuZRsRdmCkqmxDI2pwLjuwV/7fPT6D0msgRz6YhEF6wSdULLkS5Ts8g/+/CIbKhM8/2admUXNcjNiuZlxbUUz0475/seW+aF3aBaXx3jlZInjFzXHLvsc3u9z3yGTkxccFjsZjWCJ6ZUvj41U459/x/1vSy5dWvyN7VsVyvzjy2T5YwV4u+ND2f3Al598/t+98Nwzla3DmrlVD8cNePjmBCFKPPe65uK1Frfta3DXoRpSmHAFfvsbI5y6usr3P7TIzfs7LKyUWWk57NsmuP+OFb7wgs/Cape9m2PKnk8vcAgjiyhRxLEiy0QB5nXw7jeeMAC/FLowKWUYRoJtJZgqou3HLLVj/vXnHa4s1nnjTA2dWQy7grERzUhVMFxRDNdMxoclG4YTNo32GK41+PqbGa+frnF4s6BelpQ9ScXLKLkRwgyxbQND5eDRGtJU4ocGfhCTZIKOn9HpalbbJvMrFe7e1+Wug00+/YSDu6owZAwUIE8toljihyYjNYfbdnW5bXeXVx+YZXJJ8pvfrLHY9JhesbGUpGQKrH4bJtcGT9DXfT7rPzRN7jWPU0GYQDuGMEqBHge2rbDaifmV3zfRUUIvSFjpwnRTc8OeFv+/TzS5bZfN0sooJy+Vefl0SiZafOzRLhP1GsfPu7x0Lubh2zu4psPcQod46UvDYSv9d9u23tdI4t4X/zgx+ccG8BdePseeHRPqZ37hU7vnp89VFhZXMZTJvi0mJy8J3rzQ4p4bMwxV5ZmjBlOLHT5wb5edmyt0fIlYMHn+6DgXZ9t8/MEm20Z73LJHYCpYaPa4PO/xPf/rRn74vV02DYVsGw+5+4aMJLGwTIlAkulckdT62+l9KTKE1CiREcYZmgRkwqkrktfOGjz+SplTU2WixKNsKEZdzVBJU/d0zoNXDIaqBsM1wYahhIlRn42jDZ49GfKfHh9jY81gtAKVkqJSEpS9BNcOOXI+55zNEgPKLkokjqG4ea/PyydqdH1o+ynNtsly02Zhuc6Pv3uB6eUVXj46iikBEZMBSWIQxSZhJOn6BvWyQ61S4q69PR443OP7Hlri7LWMr7zi8MpZl/OXSyTCIAwVfqxQUuatChLxlqMuLxCaVGcIkVEyU0Qac+/hLtvHe2wejvjh9/S4PGdwcbHN0goYRsaN+wLuvNXn4w/EbB4uMTU3xOUZj4vToGWXD7ytx5BX45nXS7x0PuSOGwKG3TInLkn2bWsRRz5PP3ukcujg4u59N/8FFbTOp051758dgL/4xptMbHKsrz915Idrbvwv0vI8h+41eO6ERSvocvtBgytzBkfO+Txyq0SICscuSl4+odk6JhmuGiRJhqU08+0q//xTZerVgN1bQpTMmF6ucXHGI84k/+azGVmSMDISsHeLz3A55mMP99gymhDH+UBJ9haA96u3zBBK8LmnXY5fKiEMg8lZj5kFD8dVVG1BraSpOBkVB8quoOopKmVFvWwwXIORWsL4cMCmsTapbvK55yv43RJ7NmsqnqLsScpuRtlJMM2Ir7/sEPYk5hjIHD/EiaTkKt55h89zb2Z0Q0nXT2n3DJodg/kVjwM7ynz0/jZvnPKYXC2jZAbEBethEqeKMJYEkaQbGLS6FmXXo+SGHNgccOe+gGuLLa7ONTHMlGOXDT77tIdQqujFJZr1/YpGoNGZJo4zto7FfPwhn6GSZu8W8qtYYpMoGWbPRMa/+4kW00tdpBTs2wJDJYuFlVEuXfNYWHVYbiosI+WegwYkIzz9msVzJyMeuH0VzyjxytmU0eEQ1/b42iuKjcOLjI1v/xflq8/3hsY3/OrC7CvR+MSdfzYAfnVyiunZpb3Nlau/uHjtWdn2TeolxdtvhTfOVrhwLeDAVp+XL1nceaDBvTdK6pUyrW5eTcoepJmJYSSUHc14WdD0PS5fKZFkucq4rZqfpWlmEGYGvcjlldNDZDrla28kQEKWpegsA50VQ5TOKTIhQCiEkEilSGIDmRmYhqRsw45RTcnM8OwMzwbPFpRcWVCSBtWypF6B4WrCaD1kYrRDSoN//V8cXjgxxq5hqHtF9fYkZTfBcyNKno/rethKomTRgwNZBnFsEvgCP0zphIpukNHxs3xlrmQxvVDlvoMhf/VjC/zLzxpMNW2EyNA6Jks1cWISxZIgNOn6irJvUHIsPNfBsz0cO6bsRty6J8IyY27fk/ADb+9hqAQps/xhF2vDSc6qCNJMkaYKtIFhuKSpSS8wmZozSNK8FQRBzdUMb9ekqaTdNZlbsGh1TVodg9W2pN3NP/6pOZdTFzPOXItwS21u3JHxxoWE+w5rWm2Pp1+XVMs9hioRX/zG8/KxJPvF3WHz+Z4fnPzjwOb/a4C//uLn2L6p5H7l2UsfOn78hDi4VfDKaYfz0z1u3OvzwK02jabNmSsbEYHm008I/vyjqxzepZhedOj4CsuUGCq/kazkpFSDlJEoXz5IUkhTBuahXI2DOIMoyeV3P7GIUps4gyTTpDpXDwp8oyiEnEKtdFyNY2gcI8U2wDbAsTSuLXAtiedKPMfIAV4S1MoZQ5WE4VrI2FCXibEV/tPjGZ/65jhbaoqRckalpCh7ipIHnpvnFM6tZFyas3Gs3H4L/eFNEEQGOzZkbBgJaAcWfqCLKi5pdgzKrkPZq/EDb1/k8tw8v/zFTRjSQJORZilJpokTgzBS+JHCDyU9R+IFBq5t4toprU6CZaXYRoJppphmiiFT1DqA59x83tZlWpCliiSTxIlBFCuixCCOJXEqSVNJkhZrfMV3ESeymAkkXV/S8QXtXka3l9ILUrp+xsyKxvS6fOJhjcEoo57F82+mrHRDapWQPVsFjuFy4lLG2TPHxdJS9qFOeuDSJ3/9s/6P/NBHv7MA/9ZRwyqfnvk7JSb/TqebyOkVmwdvSjhxqcYTL4fUaz637fN55B6T+3yXa4smlpkyWuuSpOB2LRxL4VgSx1b4rsIP8z45jjVxkq0Ta3ILaJJCnOpCgs8FiTjNh6IkE6R9npf8BB6wJoKCFgRT5Zy5ZebqpWNLHEvi2grXUZRdSdnTVEsptXLCUCVkpN5j6/gKr5wP+fQzE9Qdm/FyRsUTObhdScnJKDkJZS/klXNw7KzH7tG8eveHzCwT+KHi9n2aPVt9Xj1Zy30zQUrXNwqQm3iOi+vU+MTbVjl2fpGXz2wArciyNP8sEk0S68Jbkg+uXqBxHYVjZdiWiW2l2EaGYaaYKh+wlcyKE6VoS4oKnmkxAHHuWZH5EJ9I4lgQpzljlRZqaJII4mKxIozBDzR+mNILEnp+RjfIadCFtmTYlLxxxmNqwcCPOmwej3j77TBUcrg64/Ly1ZSdmwLSJJEnLy7/g/c9PGXt3Oz+DBB9xwAeBIH0ff8ffuYzv/HXp+ZmrTizWFoRhJHPob0xB7Z7vHBiiCdf9tkw2kWZHR65uced+yMWVgOGqxLTyL8I1zbwXEkQSvww7y+jmPxLLMz7OcALM3+iieKMKMlN/X2Qp1nuN9ED9qSo4gXHm6uWYBl9YShX/2xL4dgK1xZ4rqDsaipeSrWUUCuHDFd9JkYbvHzO5x/+2jhT0zV2jmTUPKi4ipKrKDlQclJcJ8YyA1qBRkmFqTRSrs0FaSYKEFlU3JhektEL89WxXpDS6UlarsLr2Dh2me0bYv7xD7f46V+XvHRmHI0i0xlpmpGkCVGSEcUqr+a2xA3zgmFbOk+7NTJMM+f8DZWDW6nCq1KUAQ0FuAVJmg/CUSSL72FtSyhJRLH5lBeaJMnWLVUUm0ORxg80nUDTDgTtWHD+nEfZbfHgTTG2sthQd2i1Lb72oiLUHQ7vCqk5HraZsLoya506W/5bBw7/oNnr9f6+53l/ZDn/jwxwrRfQuvEz504881Mnzl5xto5r9m9WrDYsjp03WG61ufPgKh96yOXCZJkzkw5vnIs5dTVmqNbk0PYMIcA0UxzbouSY+KFBEMnBtk2U9KuEKD54BhU7ijPCKK/0YZRX+yjpS/LrhB3Rr+C5gGGonJkxjFzxy98Kx84jGVxbU3Iyyl7u1KuWI4YqPhOjTV4+2+Onf3WEc1NDbBvKGZayKyl5Mq/ersZzUjwnJk4jfuuJMlIpTKlRYo0mzHQO8CQ1+fOPNvjG6xGdyKZXALzrKzpdRcs2cCwb26ywb0vCP/nRFf63XxW8eHKcTEvSLCNJM+Ik//3DKCN0FEGosG2BY+YRE7YpMfucuNEXxDRCFrpBv//WOYCjROT9fSQIIkEYUaz1ZYO1vvydkRTfRxjnQA9icoAXCxarkWSpo7l1zzL/8we7lM0xTlwsc+So4NxsxMR4k4cOaDaPlDl9yWFqIUbIHt32ReezX376r73jkYfF1dnG390+Uf/TBfjM5CSZzu76+lOvu74f8uZ5xXCtw10HDLZs8Dh5eYgvPhvgej7vvGOJd97t8o474dycz7feiLl9f8C4iml3PfzAxg8tgsgkjPK+MiqOyHydLHfAJf19wxjCou/rBfnRHkYZUZyRFJ6TAttrfpN1hqrcdyIxTZn7NyyBY+eZJ56dUnILG2opolbxGa21eOVsj3/4ySFOTY6wuS4YLq1rTRyDkpP7V1wnwbXzyOSZlTqmEiiZFdTc2pCZppIkUWysa5Ikph07ubU3zPCDlE4gcXsKxzKxTAfTqLJ/c8I/+ZEl/t6vwMunx0gzmQM81cRJWlTyjNDOsCNJYOX+lPy0AtPIW7S+4isLXhz6tlpIUpHvckZi8NkGUUYUZflMVJymSZafrnFRdKIEwiS3JXcjSScWtCII/BiyLo/dscizR8ucu+KSpRHVus8PvdfHsyrMLXh87UXBUsfn7kMdRismrXbEytzL7vTUzruEkH9UmP7R4pN1+1NUxmLv53/hmR+eX25t27c1YtOIy6nLFscuRdxyoMXhHYooKjG/ZPLUUclCp0eiW1yZC/n88x6XZgW9IGJivEe9HFF2YzwnxrUTPCfGcxNKToLnpvmf3RTPSSk5Ga6jcW2dG6ykQIh8i0UVFdoy8spsW3LgDHRsheMYuLbCc/J3yRWUXJHTel6W99ulhGo5olYOGar0GBtq8uZFn7//y3WOXx1jY9VgQ0UzVBLUSpJqKbeu1sqaoXLuXxkb6vLKuZAvHBnCERbDns7ZFW+tty8Vg6ht+xy/Krg8V6FqaxyDQmaXGEZumFIyN5KBZMfGhFv3Njl1FU5Ne2hksaamSXVhnkrX3v12Ik4YJAxExc84kUW1FoTxWtX2Q5EHCXXyLJlGO/fjt7qaVi/vq5s9aPVgtStY7QpWeoKFnmS+K1j2M+I4ZMRt8dhdi/zF9y7z0Yd6NH0QZsI9N/q8905B4A9z+pLH00djtNHh448ElM0yL53wWGzDWCUk9menv3xy+6cfe/9H4ue++lt/8hX8zKUpzra21OSVX/uPtXLnbfMrKeVyC88KeNfdNabmKjz5imLX1g733gi7NrlcmnZ56oTJf3mmTJplxFLwy1/K+O0nQzaN+9x7oMdHHuxiSZ9dmwSjFUUYmWSpiRCKNFMkafFO8gEojHLud27FJtMGaSaRMt9FHEjPQqCKLZ0++E0jr2SWCZaZ4Vj5/qVrpXhuvvZWckOqZZ96uc3RiyH/23+uc+zqGBtqBqNeRtWFkiMouQrPVXiD6p3i2AllL+DZYxbNlkO9viaT55UyHzLTVBCnirFhxdtv6vLsaxl+JAiiDD8shjVf4pgSxzQwDQvDcJEy48AWzc/+xUX+9i9pXjw3RpwZxGk+j8T92STOq7htyWLWkJiGxDBEfpKpNZuwWHNikRZpWb0gYamRZ563fEEQ5z14nEriLGex0kyTynwjKoszHC/k0K4eror52AMd7j6QsGkcyq4iict8/8OQpB1OXNjIU68OcWkaFhoBtxxssHujy7HTo0wtxHTTDq6dAgZXZhtv2zV88Vf+xo9/5C/9zR+40Bwe+28LFPpvBvjMzByWtfy3v/DV1e89emqFD96refXkOK+d83n3favcfdjE8RwcJ8PxlpkwXCpVk+MzBtacjWnkH2amIU5dLs1WuTid8ptPxDgy4tG7O2wfi/B92Doe8OBtEVU3v+EgyyRpJklTRaINtHJADJFlJaTI247i/z1S5vbPvltQKYrhUmMaGtvUOcDtDKcwWXluTMkJKXsBQ9UWb5wP+Tu/NMLRy+OM1UzGvJSqpwtwy+IkkLi2xrUzHDvBsyOSLKQT2QglMVXu0pODHlwUdlWZP6yxSckKcrtA5FDvgzxI6VmquBJFYhoGptG/gFZzaLvm5/7SAn/zP2S8eHacODMIU0GU5r1wlAgcMyOM+0xRhmkKTCVRhsCQElU8+LJ/Qgx8KPk/a5kSqpjUzhBGhpFlGBqcTKOTjLIX87bbemwfj+j5gq1jKe+6K0YJA51ZpFmJMDJY7MkicRcsI2OuGfLapQ6dAHppynLHILgiOX65x92HO7zvbnjlZI0Tl2PecfsklXr9e69ePHEpTaO/99+K1/+mlbVXjs0wMjKx7Ztf+Y//9vylUx8wRUSWSS7P2aRxRtNPkFZM289XplINaZKBEDR7DioxcAw9AHiWQZwJ4kwQpYIwhW6oyWJNmqY4bsyGsQjDyJkRsrVh2hACyzDZPlxi15iDY6uiOuWAUmrNCmuoPALCVBrTzLCMvGrbZoZjJTkwnRjXCalXelRLHV4+k/B3f2mE1y6MM1o1GPcyhjxNrSSolfPWpF4xCwEoY7QeMVr32bqhyeW5Vf7ivxhhqTXGrqGMDTXNaM1gpG4yWjcYG0oZH4rYMNJj09gqDX+VH/n5jVyaGmXvSMpYVTNUUQxVDGoVk6GKoF5JqVcS6uWIeiWgVu4yNtzk+OWAv/dLQzx/ahTXdRnxNDVL41ka18q37e0iWsIywTAkZsEk5Z7xvM0zip99pslzNDs3N9k8sYBlBiiZFBNEMZCm+cOyaUxTdmTByedhQ3GSi0JpwZ1nRWIBgGUmpAS0/XzDIkoUQucFoNlxsZRNu+sRJSGT8xAlmlrVZtfuw1/88Id+9K+SzUwKteWPv4J3WnOUKvXtp04+/69Gy3MfWC23cZz8iL5hR0TPt1hYdbm26NKxU4KoGD5kzmXXKvnV1/kHlAO8H2+QZbm5J8nEup8GYWLQbXn54AhQfBCG1LgGeK6GOJ/gHVsVFZoczEafFsv/3H9bA/dgYY+1YhwnwrUjhqpdmp0ez52Ef/bbGzh+cYSRqsGom1JzNWVXUHLEgCvPmZcsr95WimPl/pMoTQl8B0flwpIsOPA1VVwUbYokSQzKjsQzQsJI48eiCCTKB07LSrFMA9OUGEqhpDngsBFw4w7BP/tLDX7+dxJePDvMbKtCUJLUUk05yYjM/mmlsWKBaWR5m6ZEsfkj1t6GwDTyQmFbAiU8jGyMshFgmcmAWtRaoMlBvrwimUtloYDm7FCaFidtJsjSQkDKGPDtSlYQQg9EoiiBMBS0e5JrC5LFRkYnNLGsiJKbstQKaaWrH9jw0kvp/j03/bUrV2ev7tg+8ccL8Pm5KdzG8p1Xr5z/0HOvXkZIDyEFvShkYtTn5t2aDWMO995ksbBi02hLgigPrez0oNlN6fkpSZoDum+0X79hkhUqZF+5zP/v9HWW17x/zDdvPCf3ijiWwjTzZWHb6gO5ALaZDYC9Zo1NcawU24xx7AjPCRka6rLU8PnZ3/L44kujLHfrjFYlo04Bbifvuz0nb01cW+LZumhP8t7bsSMg4qmjFo3YYtgu2hPZ36xhsGyQFVUwig0qtsHDt/R4+VxEJ7apxhlhkbplhblX3TJygOcsiImQuuD3YP8Wyb/8iTZfednnZ351nOmVOn7VoGYpKkmGm2icJLfP5m9R0IYFq2QITCUwU1Fs9oAfShZWTaK4Qsl186sNCw69/8oVUEh1DuQ0EwWwuQ7cfXEr03lOS7cnaHXzLSE/zNNxV9sw30wplXpEWcxte0I2Dlv0fAclY7rdk5w9t+FDpqr8VhD6V//YK/hTTz2BlIpudwXPdphtKEYqGY2VEmcuxbx4KqRWCrh5X489G1Me3i9pdR26vsniqsuFKYvFVUGc6EH11loXX7a+rppnxc8+EPqbOOuZEtMU6xgRiVfQfI5VVCszFzdyYKf5QoOZYpkJlpXkrYmV+78No8ezx1I++dUKX35hjCirMFYRjDgpVUcXFGCfJ1fFWxSVe331jjGMkCOna/Qig41eTslJ+dYKXgyaWT4wO6birgM+SZYD3I8FwfpEqjDLN3QMUVTxnOLL62heGUdqgu99qEvZnuWTX/V57vQw87GL70gqiaaU5PYEqz9/GOSKrpGzUYmRP3D9lT4pKG6lULR7uWhkFhQjoq8R94vUuqXmoloP3gXA+/RoFOfB/BdnQhaamlYIHT/h4PYuhw+k3LYvpubaVByH2aUKnV7CSDmh7bucPXuSvbv2/OQD99/7ZrPVu1Crev/vAX7k2BSb+AymO3b40qWrP/3kkSXKFc1je1M6HZeRisXGFYur8w4zczEXpmJq1Zjhes4EJEmCKTRb6pKSrXDsHKhrRXmtUmdaowe+k3WrVaxx2v1+0TQEliVx7WLIszSOrXGsdABwy0yL6pfmf7YSbDPGtmIcKzdDWVaP3/6mwf/xG2NcWhrCchw2OoK6nVK1c3CXig17187VTqcQhHL/Sg5uu2hPltsp3cjCUgqrzzf3WYrid876g2ZxpEeJiWsGbKj5NHtl/FgQxnmbkj+oKWa/fVACJVUO8MGpkFfKiqf4wP1dbj+4xD/7zYBPfX2UlaRE1zapJJKKoXFNjZ1o7EE1L1glQ5OY/Sqc72vGSW4BsC2Zt37q2xkh9No8lRU2iWyd2KYHPty1J3xiNOXOQ0tIMyBIFD3fYEMdhso2Pb/CSsPhzSsG8yua5bbkjfOKrRMZKlvlqRfPPnBlLp1YXG5f0PEFhPlfZ1X+bwGepinLpR/afuXS2c+ce/PN/VJIjp43WOl0ce0m9xxQJEmJqTmHq3OK2SWT1U7K/ExOWwmgVhJkVQpeOl+jWu9FzqtAkQ2YsfYhFZV9/cZJPgRRfOF5S5IDLcOyNI6ZFpW6D/BkXeXOge1YIbbV4+pCwi9/xeMLz49weaFOxTMZdjR1J6Vka0r2enAXXLotB6JQn4Gxi3anUgr5/BGDC5MujhIYKhu0J2tbkaw7sosYh8Rg/zZ47+0dfuVrw3Q9g0qsCWKNHRWnkMowDLm2hjYAubl2MmR5BsqWEcnf/XM9Du+Y4Zcer3F5vsZy4tGzFOUUSobANbLCaJYDPTZyq8OaDJ9TjmGc04umITAG62ysrb4VAO8nFvRbzqxfoOifCPkQa1v5gG4ZI9TKIQJB6Bm0ewZnF01mlwSTcylTixERIXff0GGXbbFj1OLoRQsdnuSRO3f8p03bbnmXjtr/t63KfxXgs8sBG4dtPveNVzefPHVqV7uxzAM3++zaXOdbrw/zxnzICycC3nfvEtvHPcaGqlxbsFhtG3R7GXGSfxiOLSi7irIHtpVhqrUNm3wnUBQAZ1BBcoDLQRVnUMHzIdMw8iMz36XU2P3B0UzXgG2lWGaMZebtiG1H2KZPN434xc/YfPIrI8ys1MgMj+GqZMjSVKyMkq2LlidvSxxbYq9vTSxdtCZFFomVq5dhHHFh2qYb2dTtfMBUBR/fpwnRa8AYeFJig0rJYMfmCGUHdKIyviVwY00YrbVZ5qBFEYX4owatz+ChySRJqhip+vz4B3w+9OACn/xKm//0uRFWemV6hkPJkpQNiWdwPdDX2SCiBEJDY0XZYABV6wZmCpuW1mst5SCW462zk6BIPMjtEVGsaHVdHMtFiFyE6vqaRjvl2mJKLHy2b/d5/90pkgpXpj2+/EJCK+xxh9NmbvrErrJnbK6Ovu2q1j2E8P5oAA97yyyL0uiWUeMzz869Zo6UDD73rMOte3s8dpfBpWsOZyctPvuEy+jwCj/5kYRqqc5S06Tr5zI7FPyzmeJY+dBnXBdKs54bXj+s5D1hVvznOcCLlStZLAuvY0X6PbZp9St2jGXkg59rR9hWQDuIeOm44LefqPK554cJkhKWbTFsCqpWRtnSObitHNxeAe6BEmoLnOLEsE1dVO4Ey4ypeBFX5jTPve4RxSZ2SX/bgLn+xMqK3zHL8i/cNA3efnuHTz/Z5dx0icDJ1cXA1FgJmHGGGWUoJQtfjUAKuU5q77MUayeD5xiM13z+xid89m+Z5befKPPa2RrLvRI9w8Y1JWVTUTI0jpHhGBAW7UuYUDxY+cxjrNMV+i89aE/6VuY+0LkuWKlfnIzCxdnsJNiNXKXV5JJ/L9AstzW9LOEnP7HCeLnOhakqZ69KLs1GbBxv8ejelHPXanzrhZPm8MR9n5Fe46Yg6Cz9kSt4O63Iq+cv3zlz8dnqzbuazC9VsHSVb77e5hOPLHLn4TIHdjgsrkrmmzAxtkzZjlhtubR7FmGk8sRWQT6BF7uQg/6x+Gb6lSynmNaopiTrDz75lyfQxeZ3bvvMmYA057bNZFC5LSPvsz0nxDRD2r2YI6fg179e5ptv1Gi0ykjPpuIqaqambGWUzIIRMa+v3K4tCzuvwLEoHHoZtl20JkX/rYyQ89Mw08pvlbCKZd9+5RbXATGnPfsgTzJJFBmMVwR7tvicmEroxiblhNx3ExUcvkpzcab/liCEXCfQcB3AkyxPz3Vsk4+/vcdjdzR56miX3/h6mVfPVlnpluiFdp7gZSg8Q+MaOcDtuPjvNAqhTFKITOse1IINS/velMLL0t/nTPt7svTbS5178pXGkOkgZSBIoOXDcgeccsLrZ0vMz1dZbiY0/ZgN423ecXvM3NJG0hSeO5Vgec9VP/qB9M5NW3Z8jf9KeNB/FeDTM9N2px38h2+9PFnaWCuxb0vCxGjIt05IfuMJj+0jPg/d0sGrmRzeEHFlMSOMWih67NoEZSf/gHNlLEMKjZBZUb2LWAedVyIlJWlqEMQGnZ6Ze48TNTDY5+mvRRWXa4vD+dGdYprJoGKX3QjDCFntxHzzTclXj3h88bkai50yyrZxKgZlAypGHrPgmhRtBzimGCw+5JbTou+2xKDf77dCefVOcKwYrWOeesNmcs5lZEhgyqw4bYr2ZP0HO2Ae+ieVwg9Nto0L3n5Ljy+8FNGNTfxY4BRDYR5oX/i5VZoPmn1+vTAjDQCerT8FFXFqEMcmrhvwsQcD3nH7Kr//fJevHCnx7LEKi50SHWnn9KclcBV4SmMXp6RRtIWD02hd9U5SQZRKwhRaQW5xTrMMrTKQOVnQr+BKCJTQuX2CvD+PUo3rpuzeFLBNxiSR5vULNq7dxCnHvPuBgE0jMLds8/TJlDg1ObBJMmyfLw1Vb/4P6KkDgP9HAnjcOoUIemwdbpNpg4vXJEtNSdQVZB3F6dWEi5MJnRjCuEKcjtINUmwn5v7DPcbrCWGUDcbtwZdcDF1ag05g++aQ+2+MIBPYpmLHJoN2z6HnWwNFLFvXpuQVPN9MMY088sG2IkpuRBjHXJzLmJwT/O6TZb72epXFRhlp2jgVhWcIyobOj2UzV/oGP63CWWitGbVyqTyv3oPWxMxV0D4z4zkRl2YzTlyxwTQx5VpUw1oeyRrE+1kkfSYlP7XyOOdDO0IObu5ydsbDtwVekjMq+ZJG4edWRQ8u1YCCzDc+39o6yMLHkwtKcWIShDauE/KDjwW8964G33y9w+9+y2NyzuPsbJnljoPhGLiF09JRYEmNWVRfue4UilNBkAo6EXSChC0bugxZMUon3H1TwK6JmCRZj6jiOywITq0hjATjtYz7D6e4lkHXt4niFD+ShJGFY3j4oUnJFNy7DxYbKWjB0bMhI89fplT6r98e8YcCfHFhRgRB8JO//Xu/PRKlJr0wpVaNeccdinbXptFWLDYNVpv59XWtbpqH2KBphS5fe6Gae4TT7Lr0pP7A2B9AdKYZqiXsfCaCNGGoHPKxh1u84xafjaM27a5NmvV3AdcquKkSPCfBNCLSLGGhmfL55xUXZ0yefc1jplHi0mwJ6Vg4ZYVnQElpXCPDMfRgsLL7wDbAHgC8v+Gjin9HAey8ejtF9baLdsh1Q64swZmrHqY0sPpgWOdB6dOceh3zoPtMSjEYJonJwW0+e8Z6nLyc0PNMSnH+d7MSTRiDGmzlFH14kQeefzqyoO366qFYa/+S/DS1Ckndt2xKTsj3PxJy7w0d5lodnnqtweVph28cLTOz6tHuWRjKwLIL9kaAUTynic4NV76fMlbt8PG7G3z8oR71kiBNDHZt1oxU8wcYLQYPRf8P/QcwSU2CyKTnWzSaFu2eRbNj0upImh1YacFSQ9DoZLSChBt2tRkuS7qBxcWLUyPvfd8P/eT09NzPbd68Uf9BOP5DAX757AtEcfK9L59cKllWyi07W3zzDUHJidkwbLLRVdx6wKTRdplZsphdtJhdSmh0EvwgI4jzK6uTopceiDvrKlj/Z5SYzM24hAmcSTJeuVDlBx9d4G99f5PhukkYWkXZzyuYYydEacqVGTh1VfLEKzanJm1OX/Vohy5hbKNMk3Jd4Mj8uB2AWq3xv5ZBEXXGIPIsr+IKy5JYlsz7blMXTE3B0lh9CT1vT7IsYmFVEmo7X6RYX73l9T34WitRKIADA1l+1bfAYHQoQqog78MNgVu0KGYCRtzfylkzSgmKxeoC5P191OsBnos2cTHQRrFJEFq0uy6j1YjNYxE3bYsJ4iY/ONni9KTJN1/xOHHV5fI1j15iImyJUEXAvsjQUcyY1+F/+cgqn3g72EaZMHKIYpNmU7K4rAZq54AtI3+w8wXnQgeIVRGDoVhpKWaXNHPLKdPLGSu9lM1jPaSRsWNbwAO3RTz5Wp3D23pUvKnSU88e+V5QP/ffVMFbc/+FpRVffeOZSXHrri7lErRaQ1QMwTdeTGj6KUPVkG0TMXcdaHPrAYnnjBGnDkoJQreILC48yWucdq6U9YHd1wCyIiMvTvKrNi4vl/mPX5A4MuJv/HAT1wvodARCai5PKz79pEM3tjh2xuHitMtyzyFMbaRpYJuKIQ9cCU7RR1rFsGSq9QqeGIDcKuykebXOgZ2vseWWgL7z0LIK2Xww0Ma4TsRiI+WJF8u0OjZDVYEhs+sYlOvyR9aDPGNdvywJQoORIcVjdwd84zWfqVYJ35QEiSiYlP6QxroqniKEKvziBYC0zOebQR+ekRj5TmWsFEaSYipjML8EkY1pJHmrZ8bcvT/mjr0x33N/g/PTTY6dMQhixaeeLHFl3gSh6LQFdTPmr3/fCj/2fkmjOc75mQpd38xJgox14BZrJ3fBmGUFHZykotgikvihoNHKuDATcW62y+FdXR7dL9gzkVIvWbQ7VfyOgS0MXjkdUStnjI1cFGb9kPpXn/xm8td+5NH/ZwDXWjA85P5iJ1y60bU1x68YPHprlx0TFU5dLjO7mLLacTh9LuPyVYevljVDHozVBUMVk6TYnewvC2eFgNMPe1zfqlzXrpDzsBNjKb7ssdqDr71gc+aqye8/6xKmBkFsMrfgoKVNpE2QBrYtGTbAkRqnD2ilMWWxxSKLdS21RlXlvvBcEbWL/UzbytfXcnALHDO/Orvfmgz6biPFMnLhSKmIp99UfOGlMsoy8sFMFQla6xiUP6iC97nwvA+XedZJaPG+e3y+eKTNp56q0kscykUfbhUrZ0ZRyZXIihMiH9QZiEki92hnstgeyi+ritOMWGUYiSqEo9xf0h/We0H+uxlGPrB7dsytO2Nu35WgVMCHH/DzZfAMfv85mzNXDWqllCdfKxGFQ3R7LnEivr0NhbU25Trls59yKwZrcCB48Bb44EOCesnDNk0aHZsLSwYzi4IzV2N6OuKRWxLOXJGUyks3DhnlX0Tw4/+PKnjgt7GdcuX4a1/YN16SyiwL5pdcjp6P+OjDC2wYHmFyzmFx1abRgW5gk6WacknhOflxD2Id8S8Gmdz9X+6tcWGDvECVV9dN4z4P3tvkjUs9fvqfD3F6tkRsWmhhgzIxTIWlJHUjr9KOzEFt9d2D62yy/WB7o7CIKgWGzAHezwPP19cEpplHWORrXuReFrNvdsolc8tMMa2ctbGNGK0jZpYtotDBrsp8GBN6IIpIIdZUTLH2hQ9iGvrVrKBGw9igVlZsGYmwREAvsfETgWPkl0mZiSZWEKn8PiGpRBEBAQg5aFX61TPf3dSkmcBIZA7wInRUKTUAuGFka2BXaQ7+IMUswG4aCRvqMYYRY6iIQz/c4/Sc4B/88zFePTvOA7coNg9luSCkxDpBaK2Mrc0fa2pnts5/pAHLlKy2LJLEYn4Ruj402pqlZsrUYsqSH/HRB6DdKjG/HJJlptq5y9/3Q9//gcoPf7jTrtXK/3WALy2vYqj2zz3+9ORDc9MNNgwrbtsfkGEglM/G8Vlsu8zuLQ5d36bRtggiWXDduaWy/wGnWV9dWzPeZG8B90C4kWBZeSb3xGhAzZKI2KCV2kSqgrRtbKXwFDlXqzLsglkYZO/1Aa3WPOF9eXmwkykpDP+FN7oAuGXmO5qWVfTkA8Zkzbw1EJWKL9y2Y64tZ/zmN0pgWJgy77/lH9B/v9W/MfiyM1GAsG85VUSxyQ885vP7z/qcXijTTU28VGAn/ZNID3zvfXD32RoxcG3nMnG/gieJHthjB1v1sgC41ChD562Vyl2XRlHhTSPFUPnvnP9zjGVGlEVAVURoQ7AaWpyfzuh1Q8qOxDRZJ0Zdh3E069yk62T99RHOi6v5AxLE0OhoOmFKQsZSN0WZmqPnLaRO2LPZpF7tUjcvPjQzM/dzWZr8z/+3Ffxb33oSpaR1/uo820YStm/qUKn6vHzG4jeeGkIpjWfGPHLbMhvrBjfsMtHaoeObaz1Xf5IfqHUF6d8fNgceuBzcSuoiPiKlWgrZMNxieiHg00+UudapYXgeFTOn9zwjy/tmtZ46W2s/DCnWffkU1aTfD68Z+o1CLOkDPAd50ZcXC7qmqdequFGYtoxCTDJjpIyYnBcstRyEYWDLPOCyP2CuF3nWi5kDsWe9lbTvD08VUWIyXAnZtsHn7HyInxr4CdhFIoCp8oIwWBwulGEhsusowzWFOPfIG5koPu9+0oBGyvy68pydWRct0RfR+jYBlRYnmEmcmGSZwbDX5WPv6HBypsOV5RpxIqm7GY7Zf5DWrjZc35qt7QIwOF36m4b55wJtX5OKhM0bQnZNhDxyW5iv3Sl485zglTMmlxddtktF5F/jyAtPWH+Q3vNtAE/DkyDBs3xKjuboRY9Tl0fQqSCKFFprmknGL0+lRJnPj31ghQcPr3JoQhVX8qkBMxAXoTF5ZcrvhEmzfjhmoUoKXURHJJTsiGq5y/Syz//+mx6/+/Q4tlOi7kDFTHGNvCe21g2LObDF4Ke6DtRiUEn7R6bsx0cUK1u5v+Ot4F4P6ryiDdoTMz+2bTMiIeYrR1wWVlzMispPEpn/Tuvjir9tb6o/bPd94dl6L7UiCPME23ff2+XI8YB24tJTEletPdhKaVQKKulvx2fXUZLrKcO06HWTfr8+SJkVxWqfLk45PWhfcq+Pwlj3GVhmgmka2KZBkijKnuDjD7YRYpaf/rWMs/M1qq7KTWpmTsMqqdc92PnfJUxEkUJWBDYleSJZVixO6zRl0waft93o85fekxJFVaK4QhzlFwHfuTfjtt0px68KFhuauZU2C+0ziLf2vm8F+DNPP4Vplu67eO4rt2+oduj4Joe2Kw5uyRWxIFJ0enmsgB9mXFk0+YXPKB5/ucH77vHROiNNE9I0fxTvOxSzdUwTxQYgqZfzzXB9nWiTEScpfpRwaS7j9RcUR07X+Nzzo5Q9h7oLVTPLbZ6Fj9kqWBCjv5nyFoDLokr306QKb1DBRa+BXylZbLHksQpr4F63HFD04GY/HcpIMIw8WHOhlfHGRRfUWnsyCOH/AzjwgZtwfTXL1kxS/WEzSRVxbHLL7ojhmk+rUcI3HMIU7FRgpmAk/Spe9OJC5iDvV8w+qzJw+4l1fx9xXR54H+SqL6P3LwYwijyVPsANhWWlxKYqVOa8oH3PvR10tsDLZ1q8fL7MhRmPxa6JjBVCiXUVXKOFplxJyHRGnGZsG4+477CPzjRpmjNLKst4z31d9k6YvHJqO1OzJXpBrgN0/Lx1SdIUiNm5KWBm0aZWL93+rnc8dt+73v6uF+5/24N/MMAvz/WQMn7PcjO+ebUdIa2UUrmLHzq0OybjIzEP3Z4RJwaGyvja64KvHyvz9Jsbef1sgkbnmXmpRuuUm3cHTAzFpHGGZ6d8+OEeJTstRJvcbGUYmvPXTJ5/w+PcrMPxqRKGchj2FEOOpmT1wZ1Tdnnk2tqQONhKKe6kMQrg5haNdYOdXrsycA3g/TUtBkf/+vU2s7Cp5kd1iqX6Q1eMFDGPP29z5GQZaRsDgBvienpQDjhq8Ye0KGKNTSkEnzRT+IHF3Tf4vPf+Dr/8eJkoteimMt/MURAXYFRJ0VPLDCUlMiki2USGoKALNaRq3UGyToNA5A2NLGzISuZtkOqv+PWBXiyPWLEkMlWeXViIR2Fs8u47fD5wr8/Zaz0uzkmeecPm0jULw8g/iP6Ci2unfPhhH8/SxLFifAhu3p3mp3+S/+5aS8quRy/KePFcl6dezU/GJE05tDOkWhV0epIkjnBLgizU1CvRzaPVhfeETvLCH1jBp6ZmGKmXH/sXn/z6n7tysc2IW2K1IfjS0y6rXVhopYxUEw7v0QSJxjYy3jhrMeoJynWQwijEi1zCjVK4OlXizCWIk4yMjOfPxRginzB00YMLKWkGinbLxDQUI66gbOUGKNfM5XS7L8QUYLSMdZW3AHeeIVIwJet8y2uS+JrfvG/fVOt7d8VgMdkoBq3rq1dOn5lGgmnERMT83tMVUm2hpMKR+jq/Rv/4v76Crx8yRUGbijVveCYHFTxJFBKTjz/c47e+EtLMEvzUJkgFVqoxU1FUcU2cirVW5bp2RRSzpqC/adbfnErT/m1z+i2XcfXjNfqLJXqNUSrSwEIzI4olti2LXESTnm3j2iV2bQg5sCXivv0pvbBXxD73N3okAsWGYRN0ITZFJvNLBnFsFLucRTGQGa4d8J67AsbrMUoJ0lRz6+6UatlmcdWi3bGJY8ViqLHFLLZa+XPlTR99ZmV5/hvDIxuuB/hqJ0LLYPf8cnPXGxcafPwhg/tvzlhtlpict7g0o1lpOrx6LCNO8y/MFIKDE7lYIuXakRsnhZ+4CGYMYkGQKLqhQZiuDVf9k9RVmuERsGVeJZziQ83VRTEIyOznCZrr2I81JqTPpFAwBDnQsiKOLA+IzIMjgXXMyrrN+z+ogveZBKPfnuS+lzcuSi7MumhlYUqJJbNBy6DWsxrrOfB1NyoM2pQsVzTTtD+My2KWMYgSk50bYw7u6vHSOY/IMPEzgVOA3EjBKPrwROq1nzJfWBAyQ2Ry4ADR5G1AFKd5CliqB/fz9P0tazfOrRWRHOD9z19jG4LIktixIjAVtpVHLNtmSqPt5jOVmVG20yKiWaO1LJRLxdScQRjn2TZhkakYxf1gz/zEURIss4xnx9x/MCt844IwMrh4VXF5Bq4uZKx0Yw5t77J5dBnbWNplGp3dWnS/8W0VvGov46ged+yNWZ6xuDApWFjSLHdj3n5Lh6HKKIurRn5ZaPH0DwzwhQMn00U4ZqwHmYFBmBHEusjq6Nso37LEIPoDzvUqY79CW+Z6vloOeOt+Re+vXJmGHmzU9/P3tIYgkjS7RQwca4zGepArlVdDYx2TYBhpzg8b63pvIyHTMZ99ymVlxUVaZq6W9sG9TsEcqJhvFXpYJ3hosc6T0m9TCjYlNhkdknzs4Q5vXKgQpS5+QRn2q3iSahKlSdKixUg1afF36W/YaCmKvYNcAAqjjE4vIYyL6wMFb6nech3A+wwTg+8iMnLhyTZFHn8XZbmGYPQpxv5coAcZ5LqwJeSqpbou9tkP+8la+d2dWXHMSaGQ0kTJ/sUBeUDpUiOlFbV56LaY1a5DzbU4O1mjoyU79y2RxGvmwgHAT77+VWxLMD/d5ZY9itGyydxyCUtplldstoynbBzRRbro9QsJ/S+qH5QZRuCH0PVzdcwPc6BHSb4OlWZrPbEYHOdrLYO5roqsgTyv1ta6jA/L0PlwOBgMMyyzf7HUmnARJ5JgymEpyiXkfhRaoY0gRf5wKaMAurEe5Nl1FdyzI05PwmeeKBNKE0OpnB5U6+hB+RYO/K0kyoAHF+tED0HWj1woWpQ4MbBTk4+9I+DXv9bj2BWPUBkEqcB+SxVPJBgFuBMlUFqjCltE7sVe0wJW25prS/nGVZ9m7Z+ClhJFEsHaKdn//M3rPn9BMPge+t78/LNTxXKyXLe1NfDFFMGefijpBvkdnL0idjmMMpIiE74v/OTedgbJwkma/x6bx0ssLEG7JzmxklEpK1ba0zxx5IsomV4P8DS8hLR2ev/23//bHScuLbNrIqC0ocOYtCgHght2hIwPJUXgS07/JYnEMiRC9v+dJIwMuoHCD1R+/2NH0ewoOr0E38wGx2K+UCzWAbyg7woWxBxw1Gv7gOZbgG31GRUzB7Vt5X1yf4XMMfsZhwEzqykXZ0ZYbXhUy7lL0CgUiL6CqgYe86KSG2sLFYZKMVWCqRIMM+LirKITOqAsLCmwCu/JWgVf13+L9Uaob6/iazw412kGObVqkCQmJTNiz6aAYxdCksyil5q4qSBONWaWV/FUaZJMYAxSCcR1+6yGyi+4rZU0rhfy8pWQuWWHii2pWPmih23o4vMF28yKkzHDMiVxnIM+Mvvfx1prmM9ErH12ao2Z6f8F+tbgOBVEkaAXCNo9TauT0OwmdH2NH2q6YZ4o0A/4FEJjmHkefG7/yBBolnsZN+xIafkmzUixuRSyf2ubW2/cvOOBD/2E92M//hd6N+/dlAO8256nUmo9enh/9W9PTfXwezV+7wmYWkno+j6P3RExUs9oh4owztNQ41jz9ttDtm/QxFoSZ4pyWbJ7q6Dbc2h0XOaWPa4tWAhhoFRGFKfXma/QayAYiDIyX27t99aDPMHrgL2mLtpmNgjxsc08pcq188jjNOvxjdfh08+MsLxgsH0kwbZUsRsoruuRZZ/D7lfudW+zGDBtO2K1m/Bv/8sIK4GNdIx8bljn/14v8lxPE4rrKvjawu663ltngyWFfpsSJyaVkuKvfLjDU2+UWYmctSqeCcw099wkRSVPVSGcDNbGCr1B5X72ejnl8O6QfTsW+fSzJl97ZYSFtsNoCcqWxjPXK7j5JQF2ogswZ5jx+sq+1qcbRp/BWvsc+p/t+tiI/jzUCzQrzZiZ5ZjZVU2jp2mHGaPDCWU3hSRDJxnbNiY8dFtEFBXtTSQIQ8F4Hd5xW0arU2J60eLitSpnLrfZc2P9b7/w3LkX0rj3+4MKfub0ZWzbYnlhmV4QsW9bxu0HbOaXTaaXbC7P1Dl6JqPpZ/hRRhBnBFHGq+cSPDcjjvP37i0h77gjpN3RbBryGavEuNYIlplTP4YSa9vW/TgIsdam9Gmqfj+Y9+P9CV6vcdR9YBfW1T6wnWJNrVLq0Q18Pv+CwT//rQmiqMK+ifzJ7/f//f/uvsDRP1ZzkaMP7ut7b8uK+L2nbU5d9kDaKClxvk1ZXFNNv23IXCdFDD6DbJ35KO2LPWt8eJIaJInFoZ09PnB/h1/7eu7L8ZWBmwrsFBJVXN2SrQUoDa4t13nvnc85+dmRphZ3H3C4bd8qo17IZ54bZbpVpuoqapbO1/cGIM/X5vLWTxTfQw52ow9ytU4dluQn8VstCgM+nsHlBUGU0QwSNm/pcNtIQruT8tgdIXs2Qxgp4ihP4906lotfQWTRDSzaXZPFhsGXnjGYXoL51YzxkTabR2KuXFqh0z1DkoRrLcqR0xIhDZJuwu6JLtKQLAYRPgbbNwv2bStxZcag2cnoBUXqUqxp90x6ARBr0lhw4pzmzbN5WM2ujT537VNU3HxM7/dufZm2Tyqwrtqp9R6SdRbXNYBn66p2sTJm5cB27IiKF1Dxurx+PuFffbbKkTOj+FGZbcMZnpnL0rIP7MGAq/+QQbPvtksxVH4qNFopX3qmxHLLAcfEkQJ7wJ4U737lXkcXftsFrOurdz/BK1ujCdN1HvH+sFkvS97/UJcvvuiz0sureJgKnPW3LaQ6F4vWPzQF/4zOm+EkFfRCxexShU2jGX/94y3edvM1/vVnhnjl3DAd26bmSqqJxksy7Dinaq041yGiAcBFrhEM6Fmxtmk0MFutCW15S7a2ha81jA2Z7N4RcdcNKTs2QBA6ZFmJODFAGCAUqw2DyZk8nyUIBd0Amh3N5bkEx2ngOQmlmiQSmnPzNu9/IOFttwd0evnNJ0a3cRavNrT9zdde+qvPPjdHoiucuii5smgQhBnbRmMeuz1l15b8fvggNAgjXUSL6eLPWRE1IIhiXcQ91JhfUqgxRaWU94BrqF7/Rz2oeoZc64eN4kaCNR46l/T7ltV82TfGsWJsO6Tq+XQDn//jd0y+8uoor50ZpVa2mKhlVO0Mx8qZGaXWDbV/ALDVH+Cq60vzpyYF5yddMmFjKIWr+qtc6yu4WAN6P9Fq/Yb1IBvleh58ELgzWMBWAz48TgwybbF/a8CuDT4r50pEtomfStw+o5LlV28nRWhPWkjf/Wqe6v4NGbnvvNuzWFgtM1ITfPDeJltGl/jaq13+/RdHWexU6DoG1VhRNovoNyMPwuwHBZmD70dfB+6+VUKsH+TfwiD1acmSrdhQLbG66rCymj/kcZIzKuHgdon1WMurftdPibOMB2/P2DwCvVAytWBw5qrNsTNzuNUDf3Xv/seOvvzmhavG0ipUk3jD4qrx2CunOty8J+WBGwWHWopeYKG1i2OnbN3QzamaVBKEinbPoOtLev07dUKKO1xyVkBKsE2Ja+fLuoa6Pj4hf7L1t0nF6/0Q64WWvhfCXpdQ5dgRJTeg5PVo9UL+yacq/PpXxgkoM1wzGHMzak6ecWJbFAGWRWxwYZ3ttyaD3ltm11VvU+XCjjJivvKyx4VlD0wLu6jefT+Mus7ht+aku85NWFAKaxRh4fbrx52lYt2O5hpdGKcGYWiyfSTkXXd3efVsmSy1CZRNmGnsbO3enBzcYi0Ev2hdkuKSrjAWBJGiG5gold+0lqSCwzs63Lirx3hthn/0ayMst6oEjkPXzqt5ydQ4SX4jXX6arrWQ/ZDTfnu5Pj9lvR+nz8f3aUmt4dK0xLZMpMwf9jTRhIkmCtO8HQ4zuoGm45PTzcWO51hVcuZClVPnoRdmLHZg83iP8XJAvSQfK9vBBpVlV43LczGVbsTFmZil1YzZRYtLM5J6rcNt+/w8l1umtKIYJTOSJF9bOrBDobXLctOh0zPphfnaUZys8dz5tdn9+2Dyfx5oHv3hq2/86ffABdhyQ74e5AqaRlIAvNg8sUI8x6fjh3z2a4rffWaMF0+PkCiPcUcw7GR5rqCdXw/oWAXFtW76N/uLEcWDZAx43HQwWBpGnLMO5wS//0wZP3RQnioWKxgs4/YpuPVtilz/Ra87ugY8+LoMv77hKhn4UYpUAWPNQlt3TD70QMjXX+zyynmXUJn4qcBJwco0cSYwB3Ta2hJBfpeOIC5ucvDDflKtNfDIpJmk6hn8uXf02Lt5gc8+2+YLR4ZY6lbwLYtyIimbGq9Y/bP6WetvcXMOmKSBuW0N3ANPUOEH8oMMWZyofXdhP8DfD/MLrBY7oEXM+FiMtsitCFIQWXB5OY+cuHNvyoFdHmFkMj7UZdeWDlsmeoRBF2NiOMFxMg5tj7Af7lKrlJhddnn9nMnffVoQxxmGMpGqhBCCJMlw7Zh7bwrYM7HKe+8Ey/Bod2380CSMFVGsiGNJus4+u/7VL2aD++PlmjAjC+vs9ZEQxQaNmUevuU6IafmcnU75p79S5auvDuNTwbVMNjiaqpVRsfUgocqxxGDn0lynfCrjemHH7Bv/+9W72NiP44Svvehyeqqo3krgKp17T4qI5LVVsrVhWQ4SrdYa8OvoQc31rUkmMDJJkmqMRJKqtRbFUAZBaLFvS8w77+lw7GqZMLHxlYWXaux0rYrHKZh9kCd5fHX/uhIzzo/+HOB59Bv0h1xJyVPcc4PPvTd2eOfdPX7mV4Y5NVVjxXTpJvl2e9nIN6dsQwy2p/p+fLl+FvnDtICB+MOavSNmoH73Ymj4AsOOePfdDfZMJDxwY4xr5Xd3CqGLkzUhiA2OHBvi1dMm11bgiFGmstlGOoJ2V2E8/pVvgjDQ6QqmNnn1gub1SxFhKBh2HGpDfbpubUAKEzh6ssZXX4iZXFzg0VtW2Dwm2bYpNwllqUUU5xNvFCuSVAxi2Po0wnqA9x1xqojn7a9TmeuXC6wI1w4xjJCL0wm//4LNL391nJnVKkiXui2pFx6Wkg3eIKFKrsVAFBs7A9dgMcD2fSfGOmOVaSSYKm+Dzl6Db7zo0QtcZNnAUWDLNetqLgxxfYsy4ILFYBFhvdlpIO4ULrpECoy0f5tcEemWSlSqMBNFYhgEkUmtZvDOe0K++FyXY1ddQsPIq3ixDGGmogB3kTOYZIV6mGHE63tliRRrVzTlA2/f5mxQck0eu6XHLf/7Er/6tQ6fe6HGhakqy5FD1zKKfEONo0Sxpld8FoUf562hR4PYOtZRhlkep9wKBEGmSbKMXpQxNhJxcHOXd9zi86F7HeaWRpibt4nitfgQo4jtq5Z8btrdYe/WHq+dr3H8ssW506/TWjhPFKcYL7x5jSiRjA/53LgzwzUVN2x0qJVUbjA3xYC4F8XfLifwM45fTfnNJyb49cdDbruhy6EdIWGUcdueFg/dJBhxSgSBQ1gYad7qQclX1Qpwy7VQm3w6z+k5u1jstcyAlp/w4lnJ3/sPwxy7VENbJRzLpGZBtZ9OZeUhPq5VpFMNck7Wg5u1/HDVb0/SdT+LvUQrJtMxjx+xee5UBdyiesu19bi16r3OtivXbbQoMRiirwd3YQCTRTaKzBkOlea3yuXye6FqpnkVN5WJ37O572DEu+/pcmqqRJLY+MrEywRW/4LcNFc1jaSwECcaFWdEUuRrav2N/OtSsYrYt3UDrmsbjNV8/v5f6PHhB33+7n/scfR8haVuiUA5WLaBqwSesbY22L+yRYn1V7fo65yUfXXSTwStGJQZ8vAdTW7dExAFmsM7Y+4+mND1Szz5yjAnLlQKUU6vw05/5dDBMuvUyxFhGKNUynBlic3DDfxIY2zemBAlko11jZIOtYrJjXsClJQMVzIqrh6wALLIJGn1INUpgYw4cqGOclyuTbtcuqqJM83vPx/xw+9e4K98Twvb0HQDa3CVRf9X7V8jLQtPuFR5mI8hi+ppJAWwQ1Z7Cd86KvnCc1Uef7nOYquMWbIomYqa0Qd28S5yTlxLFFmCuest35YX12/Jm2sB+eb6lsjox79FnJyEzzxVznlvZeJIilU5ButjA6APWpRCrOrTZsWu5FrY6DpOOC0WEFJQqUAlgkTmknaiJLHqB98rYiM3YOnM4mMP+zzxcpfXrrgEhsJPRC46qXyY7PvF8/W2bDAjyOv+PnKAusHguz4bsrDD2pHJgc0Bn/xbHb7+ao/PP+fx0skKC50ykWHTtRSOEjgyj6zr58IYYt363nqAFzd5NEJJJEJ+6v1L/PBjGTrzSBODKJHMLmZoHXHqWptXL4LI8hsg5HXagqbiaYYqGUIKtm/QiMTk2mKCbfn4kcBYbVUQCM62Y2pei5Lb5fFXMjpdzaN3+OzalBEmiqTIGLSMhDfPKk5NOlyd9djgwnApwzELekhIVrtlSkaI1qsYRoJj51bJ/qJDzhWts3aqDCWL3T8zwXMjTBWx1Ep58qjiS89W+PyRGsutMspy8EqSqpFv+Xjr06mK6DW7D24zD820TVW0KFy/ZznYVknX5XAX1duMSXXE069ZnLhcAsvGVDLvvQd959q14AOjUt9q2veoF8yCLLZp+sPUQMRO11yHMiloxlSgUokqevHEUMSpwkgMzMTED2wO7ox44I68ivuJRVdZucswYUBbrpfN+57xNeqyv6AsrwvtXB9jkce+9cUmk5IX8gOP+rznnhZferHHl55rc+RkmcVmiVjadB0Dw5DYUmBKgSn0YMNp3QGW3+Kh8zuZTEMQ9uqcvlim0TELX5DGsVOGKgHvv7fNod3LnJ8UvHo295fnprG8tduzOeaR22IaHYvJeYexesz2CRfT8HCMDOPmPT5SSIIoJIp8Wm3JylKVji/4xpEKyIxOBFGxpWMqiENIE5ONdclIBUpunsDabwFcG/ZurRAECSUvwLaiIuJ3XRijKMAtC3AXMQWpTrg0qzk3Lfm9J6s8e7zKzEIZLAe3oij1MwX/L+r+O9yO8zrvhn/zPNNndj/9oBMESLCTYhOp3qxiyZKlvK7yK8d27Li8cVxiJ+6JY7nIjhVbrupdVKEkqpGUKPYCdoAECBAgejl99z39++OZ2XsfkLIdW07yzXVtngYCOAdr1qznXncxlFFkwRe3h9153H5NDr0F1a9RcOHI3yQdU+wUB9po2L2PLmR87NYSQWwjLAPnXFuKnEOu58nJw7c5jbfw8x7Zq40JbTPtnDNJsW0UREMab6Y6eCyQUmLoalQZhAZl2+RHX9Pjq/f2OHDGJjB0eokaU0ZqnwL3V8U9JIBRYPO5hRrKS2U0Oo0ZBhXZ9aaCK/sDA9dR1m+vuaLFPXu7fPZbLgdPOjx32qMfWISmjpA6UhM5oiSGXbzQXGaoMaaqG+x/1iDqGViWQrosQwUM+K5Fo+Jy/lSfrRMhL71YjbGgEcWSfqAjcKl5YAvBqaWM082Q1UAgpAQ09De87l1TSwsH/sveJ+/l2cUSUpq84VpFamr3TU4vaay0EsJI/a2kVLOt72i4RWaNozyzVUBrSrUUMTfZo1Ye4Dl9ICGMtGGnGGLgIsU2IwwjJktjnjws+NydNt9+xOX0qsORRR90G9PX8Q0NLxcdq8IuunFe1IbC3a3c36TwOFEWbAydYVVxF8xDtTQaHipziwTTCEm0kC/cZfH4IQ8cCzPv3tawa49EziOvlZw7IwvmnRh2UFBYdOHGChmJGIUzjWjDDPk4kVRPgWJMiWKJIXVi3WDQt7hsW8hbX9bhvZ9x6UcmXWFhJxmm0BRPPMmQcZYvtkYjoaYlOXSnioAC7UqLRLR0DLIcWzzFOrGZexwOTBrlgH/z8oDrL25zttni2w/bfPZOnycPuSSJSWoYRIYETY6WXbmynihDIFiOJftOQrsfUvNGY6VjaTi2xLVNPNvKY9IVGQ5U0vXyWsbpZWj3FM9mqp5Sd22eOyO59qqr/8tlF53/k/pdjxysLCwsv+7xPRGb53Q2zfYpuSG6TClFBq5dYrpnkmbqVKy8vsG2MoVU2BGurXwCS25IrdxHiD5HzsacXA0x9ZDJSsz5mzKyRA5tkKWeIq2Yoyc1Ti1Jbr7b5/bdLodOeHQjB82wMDyJq4t1hW3puQ1brqEslD5F5x4lHMuhO5VtksebpNjjBK1hvEmc2y7HQ1uE505nfObbJZA2Uo6697iSvzAQGqmLRH4wV85YplksQtSM2w9Q/PggUWljUiFUWSaG9mvDra7U0BNBFGfo+ggXV85UqsjixOQdL+/xxbu77D9lEeo63VgqdmOc5WhJcZDXchkbKKJCktebHB0w823oSAE1zk8fdXTFJlXnAcuwmKwEbJwMuHTLgDdeP+C23SZfvNvh5JLNcyctNFMnkyOUQk8Sdm4aMFFJ0XSDbmCz95SNyEwaPpSdGN8E14pwbA3Hyn+eRh53qCn6bC9IWO6HdJMUM4BuDNumE66/IGTnpjOvc2Ra0U29h2EMSEg4ctbg2BmTONYhA98W7Nwo2DCd4ljJsOvZlkoEduwQjZBMi3CdPgdOwEfusBkkJg8/VWZxVUfLEhrVFn/8c4vceGUfIohCjYeeMrjtEZd799g8d9RhoWszSGzQLaQvcaSGr4MrlcKn8BY0jfytruVFruWPNWW5pox7pDpQFsU95ghbMA+VQn7MU9yIMYwIwwjR9ICv3m+z//ALz97jLlnF3F2kIOj5P4RpkTvWqnlflxmtLpxdjml3lc+3qaekZg6f5jOx1LR8mzuK94tj1cUNmc/jOTbeH1hcsDXijdd3OHyTSxibdIXAjNUTYNi9h8KD3DVFS1WRZ0l+wBRjI0oBF46Z9A/5/8rjsEBZzGGh6/R1E9sM2bEhZNtcxNtfM+DwUcH9T1nc+rDDQ89YJIGAOOMlV/X4w5/p0KhYpInB2bUO9z9tECQat+22efa4g2WZaJnEyDRcM8O1ElxTbVINqUbSDdOSqy4UeK56IkZR/qQMI1rtLglt9G7foD+QeFbGhqkUUo2qb+GY4DspM40B1fIAzx4M0xIOndJ46oSG5ybcs0dy5+MehlkijAw6TYlrCkypMeHAal/j0DGN//hnEf/px5osrgg+9DWPsysmq02LEJNUWKCbSFPHlppygZVjZuzDLJlxL0FGhV0Y9ugyH01yR9iiuIvObSkGom0UuTrjxR1j6iq/5/hZ+KsvVRgIGyGN51nC6esOlsXcrUYTMxcF2Aa4doZrpbh2wkQtZKU94I4ndJprBhOVFMcSQ8MbIXL3VrFeG6lLkSM1gkiX6HGKrqtDXxTFGIbJv3tzny/c3ePwWZNY6nSFjhlr+fw7ChsYBrnmquNi/h65jo0VeSry5AZtuIRKxmbyOBbEhip0I1E4fRTrGKGJaYRMehEzl4Rcf2mPd72xy5kVwYe+7rK4Kvi1d7bZNOGwsDhNs+tgkPGqS2McO+CVF8eEySqWFfHtxyX37HFxXMnR0zoHjps4+T6jZGkstTNOLws8R8cxE2rlASnQKEtcx8R3LfTJGoSBMldfbmnMTQRsnG3TKMe49gDTGPDZOw2OLxmYlsSyXPYdNjh4zMYydWxd4BtgC6hb4G5UY4Njqkd2piVctmuVst/irkcsPvzFMoFukAkDdAukiRA6llSjiCNGhW3KbH1hDwUPhVYz75bDBY4aUyyDPJBqzBV2yBlfz0Q0jWL2DjHNkH4U8f6veJxackE/t3ufI1J+ge5diDIsM8MxU1wnoeJHzNS7ZHKNhW6V5aaJaaSQjblSiRQhZM6PyfnViVr+GOOFNeSnSPREJ4pM5hoRP/GmFu/+mEUrMhlokq4m0Me9UrTCbqmgO6VDU8xC8T50H8vjAJNMG3JZRhyZMWndkPEoSHRBbAiFuOQ8dkM3MPSIuh8yXYn4o19o8qEvu7znExU8u8zlmyfIUgMzT9ewrQTXinHsGJHEvP6qkLdeH+JYHfYfz3jqiI5pZVhWxulFwRfudFkJLUzTYKYUYbsJ03UL08hodmKCNEavOgJrSsO/IsYwOpxeifjA1yx6gYtr+GRZysKKSqQ1dA1Tang2XLFxFBM99NU2xDANwbE1Sh5smIq5/hINtxqxe79FIEwywwZpoQkTQwo8iYrPKNxg9WzIdXihrl1Ip6zCbs2Q+cc8z8vbNLI8CW0UAqsCqtQSycxfhh5iOwM++nWDv/t8hSCzEULHFsrU01i32BnJ62QRoipVRLYxBkXaeff2HEXlXen1CROf1gC6A20okNZlhowSDKnlo4hGHCvpWaIrFYyeKDTF0CVxnBDrCr6LYh3TMPipt/U4eLzJB79qkUhJV1hITcsTkUek7BFtVcsdf9Pc5bZgH8q8e2us82wZ5u+MHGuTRCMxNMxEdXMzkcRGki+n4uEoozq8xBYBUahx8201hFfn5I6M+UaM70ocW0G6jmmps5LF8N/NNtXP8cUXxnn2UkKwOeNF50mSNMM0AoIo4JuPu9y3z0aLdK7XSsxOu+hShkRxzNkVk0yziSJ4+S615RuEytFztqSk/6P4PpErrcWowI3iMAeOleI5MfVyyIapNo494P7HDD5+a5nMtEF3EMLAlhq+zAk8siDxrPfvNgtTnlxVXxCmTH00cw+Le+gpmI4VeDo2jozGkiI8ytTz4rZC1poJX/h2ibXQAtNESjHaWo7hysNtZb7Qkbo2PDAWIuihWX4eEmsaEVIkaGlKEGsqniRK121Uo1iZV0aJlguKlZJc188hYeU02ljqxLqyXyjZEd/38i5fvK/HSlcnFJK2pueuswXwXlB0CwPMgo+eruemZylpKklyd9rC6ng0tozbPufFXrjkpoI00TCGN4lQr0xBhT/86pAv3tvj7j0V9hzTaXYT6n6CZ40t5kwtt7DWcyCBkTFT3hAylJ7z1JKKjTd0DV9P2dZI6QepkrllGnp3oNPu6yRazPmbV7EN9QAzjZgwFGTZFHFs5l51DIutUNeoTpXg2cqY3rVjKl5A2RuQMmChGfDUkzHv/ugE7agMhoMudVwJftG1hyPJiIpp6WCMjSSF8NXM9YBmcZA0RiOBnS9wCoRkPFZwPF7QyNfwph5hmiGmEWJ7A266x2T3Ux6psNCkrgQNMl1Hpho61I5tK3Uh8jl8pO43xpdIuWhZiARIiJKMILcsC2OV3hAlGUai2JqxXggYRqNBMR7EsUaiF+JkkXdxgzg1uGbXgDe8qM3HvmaCLgnRaCHJEHlh51Hp2ahjJ0M2Y5YXYzK0XU6Lz2XaOhlcnErSNB2NLkYyLPahoX8aDz8uDrFkqhn+13c1+W8fFRxfKvPMgo04Y+A7gqqT4dsJjqHhWCp+0sw1n+O63OJsEqcpTz7XJkgypNTJAMeM2TwJJSelZKfoaQaWpZyQbt1tEAaSspPhmAa+I7EMjdmJDM9RRWMYqiuV3ATXijDNGKlF9KME1wlZbkV85WEdTWSs9iT3Plnj+LLFsTM2maljCoErs2Fx23lRWHlhmzL34JDFOMI5hT16FSOJGkOydfDfcCQZFrg6SA7tgA2Fd5t6iGMNOHwSPvI1n7NdGywDKQSWyJ5nxVxkVK5LO5NizD6uiMfOhvRbmW9qNS1DyzKiDMJcgDsMXo3HqK1DWE4bFnkB0ynYLofsxjxUoshgwol45/d0uW+vw+FFQWZqBJpFlkkleMhSVeDp6JUmhSiiwL8FSZqOrI2HutGiI2u5gVLxcTr2a9THyZiZkVruFbO+ElPv2pzw7p8ccHI54O49Fq2eJNUk9+1xOLxi4liSMBDomsDSNRwzoewoVKrwj/QsQaMmueJ8G99NsCzw3YQgTth3WDII1TJLb/YlrZZOt2dz3pSBaysIRpcaJTdjpt6lWg5w7RDLjHDMiDBJeOKQ4MiShmMnnF6FW+5x0A2bzsDn4HETQ5MYUhJHgigV1H0YJGp96+VxdXaRk1MUdzGS6KOuXfifjA6S45ySsZHEHI0ElqEiRqx81h5i3EY8pFnqOeZtmQOiNOJvb/K553EXdAOEgTmUo2XrBMWF3/jIpllb9zU55KcUHtxFdKLShJKlyt4u52PE6ZjcLM5IjDyWL1GEpCKabx1ffChpy/0BkxFcd8PlA37q7S1++28NgkiQAYE0iTNJkAoGaYYrM5yCbZgWB0m1+k6MdFiYw1EmlWP219pwC5sOkZfRmn9U6KOiLigaGcr4p9PTcUyTrVMw/7IU0wjRRMjrrwrpDjJMK+GL99icWTFwLEGzJ3nyWZMkyqNldIFrQsPPmK0Z+I6BIVWUu2s7VK0+9ZLKLtXTOKXTyzh0SqNWyZB6QicYkEQBQqSKTWjkftJSwzAM+qHFI/st2m2JYypH1E5HxPiLJAAAdwlJREFUqrvN0NhcRlFVTXUIDeKUvadh0JOYUpGVbF1BeKY+wrVHLD9tqOEsNoKjrq0Nu7bCudMxGDDJC3yUXzk8SOoxuhGhyxhdJkgRI2WEZYfc9ojOF+/xCEITXANNyDxZjPV6y4IOK0eqnfHMynGHLNW1lUJIiJHDU4FjJGOury/YUZMi/YAxFKMIbnq+bjNJVZH7tuAtN/a5/d4etz8s8rjGhETo9BKdgdDpS4EnM9wkw03VE8QurIyHPi2o7pyOfAWzTJDlnKLRDTAKlBoV+CjooFjsCS3/eRgp/Z7kwLEqQWhgGSmOneBYMTOVCGdK/Xtt/N6UNItw7JjVTsrD+yWDUMMwQQiBFODoCY6hRBPBwKLd8zGlxDUjSq6GFBK9l4DjprzoggjXhlNLGQePmLS65tCOTT1O1R1crKZ1DabsEXTnNIqDIJimhm2qk7HvCLbM9rh0aZE//3KdFHN4kCxSzor/zzAUsjCOlAwL3FSPK2ssFMrOI7WLwi4OdJYVYxvRMF7QMgNMI0KXEZkWo4kES6YImbDWha/e53DgjKXmI01HDp1iR+ocRf/U1r1GRZ6bBg1FGyM5XOEXqOXJzgWnfljUyXhCcHbOq/ANH/FDRhZvo5l3uJzJJGGos2NmwOtf3GX3foNmL0WTEZYUgGSgGfSEyUA36CaCUqLhGylROurmRerCyMs7XRe7ombqsYSKrHBLSPOvjTp3ltO5VDBCRMaAj39L5+gJnS1TEs82cGwFTFjmyDXByc9Pg76iUtxwYTKMXMmyPG8oVvRMIaHZ1nnwaZtTSwKIeO1kSq0WoF+6MWJhKeLB52IW1wRpIti10cKxJZapJERLaymrrYQ0Jd/A5Yc/ozC+1EaHrrz7Ohb4bkajHHPexj7nbWnywdt8sshU6/Z1pprF76XlfO0Rl2O49i7IUsPiTkcvKxnaRqi3ChVx7QDHGtDqhSw0E/qRxt/ebBPF8HPv6NEowxfusvmbz3tkiKEERQ4LOhsZxhdfFiPOSFHkw+SIsURgqY2sy0YheiNDlJSRI1hx+Fuf954N0YtkqNvU8l+neNvpkGMvhmhFkggyQ+On39bj6FmdL9xt0yin/Pzb+0Sx4K9udukGBqttl9WuR2CaDFJBOc2GN1qaH0jVwTQvWNJhJ1fjxqiTM1TtixGennfzgr8tZUqaCbqDlNsekwSdmKAfUytJPEfmksKR/kAlcOSj6xgDVJfq919uCRZX1UHdMjU8RynNtszFdLoJp1cMurGNPjPZYbUVcHrVYMu0TaWUUSvFlP0BnhWj6yF3PVpGl2YesSfGTDFHotOC9ysl+R2YUPYipuo9pupL/MaHbFotm/mKco11cmrrOEpS2CEXMKBxzmFSpQyrWdux0mHXdqwk37JGOFaAawfYdp8gHHDPXo33f8Xnm0/4BIlB0JNkacynvj3gZZd2eevLBlRLGf2VoZgOCUiyYaGLMV7zOlFxUeRD64vxtAXWde/xEQVyvkeBRQ+1mbkCPh2JhZPh10ZJEMNR4JzDXPH314DVtkYvgL/+5TVeemmEoeukqeRtNzaJk5Q7nzD4u6/6PH6wSrPnMzBNwlQjTtVBdAQlqq6snjzpkM+fDTkthQ95NuzoyRA3H0UISpHRG5jMNAx+/PVNfvPvK2SZzkw3puzG2KZCSgpnYCG04SLNMEaLPSsXsiw3+9y5pw/CoGRlVD2Nqi+olSSztRZB2OXEkou+59A0KyuSqnecw4sZy8+FpGmMEOBZGtMlnTSCiYpOrazhu4ox6DsJvqu4HLpIyYBBoJNkyi/DsSMmqz1KbpMvPZRwx54Zqq6kYqe4Fri52kb5axTmj7k8bqy4zXOKW3VsdQPZlprdVGErSZvv9jHNHgdPx/zFZ12+8VCNM00fwzYRUkN3IYoS0iRj03SLd76+x5lVwe+931LOs8bITq4w6BTjQmJt9DkhtLH3x0w35frC1orocm1U4+nYI3+krj83u2ZcdT/mYZiNOmTB0Cxot6pTwl99zuOjX/N40c4YjYxur0wQWoCyo3vzjX1uvLTJrbu7/MVNdfaerLKcugqZydJh7KMiyijuSlYYiheU56KTr6Pdjomok5EXJYAUKU3T5yUXrfLaa89yy/3TtHsGU2XFNdGFRpxpDMKcBibUtODb4DvgmALXEdTLksm64PteCtVyD9+OMEVCHEtW2yYLKwYXXFCm3qigv+K66eYzBzvf6K/pbw5COLngsNyCMMow0BCpZOOsxoaphKlaSMUPqPgDOv2QM2sZUVxYLsDmeYhjG03LKHt9mr0uN90nePenZkkGHpuqKVUXfEfdhZahxhspxs03BeOOpkORQl7cRed28pWuYynSl2MNqHg9kqzHh78u+dK9dW5/vIFpO9SqglKO3AgNmoHkgvMyfvUHQ2xd543XB9z3WI9vPmkTp9ko+aAo8qG9mxISS60QFI+U44XYVgzZe9mwqxer8tE1PqIwHAuyYSFno7eZti5Pc+hhODTvHEFxQlMd97ZHTb5yX5kgKPHujzvM1ttcuLFCr2+hCQWf2n2HktvnR17dZcPUEl+4t8fHb51kpVciyeRwRMlyemvGqHurPy0dFrumKTakAok0EgkygVBoKq4kx+yLm3C6kfKbP9TENU5zx+M1nlnyqToSqUGQRmycCvKDuvKPP7qi0zlpUHUzam7KZCWh29eZnyqTBQn9JKMZwUpT49iCWgLVW5VvGJWNTf3zX7hpQQjt94WevDkIQi7bKfAsnU7PREqYqAbUSwN0Y0CQDNh7LGWxCccXBY88Y6GhY5mSipvyzte1uPGiLrY54OljIX/y6Qp372tgY7OhllL3oORqSiBhqi4ttNGcpkacwu+uwDyLhVKaIyZq3lbFHeLaSmVf9jqg9Xjf503e86lJ2kGVUtmklus1favQa6oN7PWXefhWg6XlAVec1+Zdb+mw94jPyXY27E7jxa2NdW9tXQfPu/iYBG9U2OPjyfprHIEYydhyU9KxcWU4h4937TEUY5S7pHD35XbGB79Y4vGDVfSKx2pH8M3dHtHAVT41doxjxbi2QRgZ9AOTGy/ucPXODjU35n9+LqHZr5Cij+K3hyBfltN6i5s2Hf0cck47uVMAMbl+V2NgZAThSFCdZhoTVcl//qE1XnXVKd796Tp7nqtjmAYvv3jA//vqkLKnFoeIiEeekRxbMFhqSp454nD2pMHB0yk1T2eyosbi9iCl5AyYqEUg6xw4tO/3Dzy7d0FfaOqgCdIEmt2A1XaHS7fqXHkh6LLHQwcki/2EZ47BYwdtTi4aNFsGnqVj6xolS8NHUNEli0sOGqfYdzzgtz5S58E9U0z6OnPVhKoHFU/guxLPVkKEwsqtWHKox5g2zLFUK2/WYdzO2Fji2iGuPaBS6pLR5c8/b/Oez0zTSStUKzo1M6NiqeL2bPAdQdmXzDQMNtZ0jp6ByWoL348pOwG2SNYFea4v7HGjzsKWTBuNJWPehJoYde2huGM8ICmH4sb1mevMgM7xLSzeHxGicmPNsSUKqD83SJVQBelQsXU2lVLOnPV40rGZaUCtJPHd3NojGeXsVH2dX3pHB8FZ/sfnMlq96rDI1xd2OlToCJGuv9FT9TNK8i1sFKungCEVpzuINMI4dwyIBTMNyWuuWMOzlviND2ccPDnJfMml36mopGoR4zkhr7kswHMGrHQGHF8KePxZjX1HLXQheHi/jRAml20PuWh7myDQyUSCZYVkaYo+CAzld5JkdHomjmEgxYD9J9rcu1fngb0uUuokkSCKdBqexrZN4NkavqsKtlrSmG1kXHJexLHFhN/7aJ2H9k6xoSaZKaviLnuSsq9TclU6l2ur0SOKBctNZQum5Z5+Q5/wMaPNEWoS4+RcdMceUPa7oHX505tc3vu5abpJmZoraVjK+Me3MnxbKZBKnqRaMqj4EqGlDAKDIDKJIwNLhhh2OvTsEOMFOj5/j3mdrJvJz+n0mnbOAXPcM6J40I/7g48V8Witno3MOYcyt2KJog0z34ejQpYRDDT6sYEwJL6e4RkpWSpYaycYuk6WGbkAXIwtZNSr4mv8wvd3EGKBP/lMRqdfRcNAINBI8+85Gx26h05kiniVSokm1c8gjDJWmyFRkqrFjK0M78NQeeZEeaEPQsm1F6zw2z+6xm990OHxA2WSAKYbOtWSScl1KbnqzFfyYjbXA2avDHnVZQm6EXDfUyH37jVJYxfSCr6TkqJhGurnqm+YGJAhMGQf1w7o9HUe2Kfx3MkGUWgwW1KoiWsJHIuh3tG1NTwHSl5GoxIxP9VlZmKJLzwAjxxsMFeRzFdTar5GxVfFXfElZQ/KfkrFjamWQqQ+4Cv3uLS7Op4jQS8ULaNQqCHV1cqL24qGMzdalz/7rMN7PzdNK6rQcAV1K6VsZfi2Ku7RzajjuwLXVhrFwpu715dcdVHCdVeEHLwVtKxYTjA2cowb2YyPJuM3QzY2qox1bo31HTyfaoeYynisYNG183QGNY8X6Ml4YrQ2VvTkTQrue8zkwacsTEsjz38iTjMGQUKnKzGkUGr6PFMpK2Rk+ftVH37urR2ybIE/+5xGu1dFYOTfZzqUvxVPrGHkYD6S6xI8J0MTAXc9GWIIQc1L8N2EUiAJQ4MwFkRJnmmfqJ/jldtWuH7XGl+8x4JjBmudhFopf+I7Atc2sE0Ty3QVx95RT/SLNkScPxNw+HRMpwenVzUGkaTi6cpASZoTaJpOGq+RxYvEkclU2WbS1xWB38jytDItz00p5GoxvhtT8QMmax3ONjv8h7822Xd0kknbYL6aUi9pVEo61ZJOxRdUfaiWYmqlkMlan2pplU/eJXn4oMlMWRFxQCA1DV0fzd4FI9DOzTYdS1kkZ1qX937O5s9umqYTl6k764vbs1G6UUeR4j1bxY07VoJpFB1W/cOIbNi889n7+cY160aSopsL1h00Ne353b8o8lG82fjSZP14cm5Y6iglGs5dh4/iusc4H5ryWpGMe3IrqVzfTDD6mnLZ1QDk+rjt/FBd8eH/e3ublAX+/HOC9qCC1ORQbSRzZmWUmx4ZiboRNZQSqeon7NzSYbHX5jPfrjHRM5guK1fiMM6IYpWzGcd6vp3VmJnQ+Jk3rfGyy0/yZ5+d4PHjHjOllJqX4tk5KGFqmLpK01MjZO7do5ukZJQ8hRjNTFaZqpeJ4hj9rW95I57r89T+J/jMzbdgmxGz9ZS5SQ2pJwgtRZc6SWzktmo59myHWFZAkva45SGNL95f4qlDNTZV1bhSLwmqZZ2Kr1MtaVRLKfVSTK0cMFXvUvZW+dA3Nd7/lQYzjo5WzoaHEjnWvU1jRDlVyImCArOsx198weA9n56iE5epeZK6pSzb3NyyzbWEEkXbEseWub5PITKGoazahKa4xvc8oXPvbpskUQoa8bzRZL0dshDaUKU+jpRoLwAPasPJZGQQkuavLA+HGpnijy9ZsvWzeXHYTLSxLj7K95FC46UvCnn5pQHffBxiTyNKNcIkI4gyBmGCERQGpGKdZ8k6izUto+Zn/NI7OmTZWf7nzYK1oIyuiZx6MDIb1fUieUGdD9RvluHZkp98fQjiLB++dYZeaDAXpYRRTBTldnKJQRTrOelMY7ohePnFa9T9Rb70QJuvPVDleMvC0zW8Ym8iE4SAKE3JpIYuUiwpmJ2QWFaCJdtccMFrOP/8K+n12+jNjkWSWay2TJJIY7Kc0epnHHhywOPPGdi2xS+8ZY3tm2K6g4SjZzOOLILnRSx3ND5xe4k9h8tUDIMLpzMm/IxqSVLNO3e1BLVSQq0UUa8MmKx38Jw1PvYtwfu+NI2v2dS8kc+0lIxRcYvOrQ6VthXg2gM8t8MX79b4o09O0k0rlF2dmpnimyM/QsfS8pci0tv5iGXnsjUzd7GSUr0QGUkmQRPrsi7HMW5tuMnUXqD4s7FxZcyeYRySGRtRipX9+i4+Bgtm5yAr5xw8x0lNhbd4mkp0TUNkMWmSEqVCJQlHaiYehHkcYsGfKQ6LWn4wZnRjCjIqpZRf+YEuB08t89k7dZrCU/EyBe9GKN5+pGdExsj0M4wEa22LaqnEv3/TMlFymo/dNkUQ24RxSpQkRDlFOIoMokQSRRZhJOkNDLZMdvm1d7R40zWn+cS3bJbbJq4jWWoaHDtj0BuYnDcb89NvDim5AU8e1llaslluG5Rsl+mayWxD0uvp6LoBmdBoVBJetLOLJgS3PWJz/GyN86YE2+ZTdE3nlof6PHLQ4vEDFs+eMDFNHUPquIZgezWj5mX5GCKp5CNJrZRRLSXUSiqxd7bRQjebfOSbOv/jczOYqcNcI8V3UN4lpsy3pEXuzohfMkpv6HLwdMwn7pigHVYp+SZ1U40lnq38CF1TwzHFsLgdS6jNqZnmCyOFBRfZ82kWs9gSDBJDwZTDVf34wVIbdXChrSvyUarxWPdm/QZTjSljhKsxFCUbTS5jo8o4Hs669XcRzz2uuElzdqEpBRPlCE3EDGKdINYIY5USbIUZg7zAh65bUo0smpDDUWv4PYiMRiXhh17eZf+zKzx9SmdN2BiactU1JJiRetKGkfKID0LlXtvu6Sys+MxPpfzi962QpWf40G1TdJdcNsUZYZwMnWTD2CAMJYPQpBcI2j2TWsnlvOkev/9jAwyzh2PFHDghePSg5KGDNgcPV3l0b5Vt83DFlj7HvZBvPGrS7upceY3gAk2xMHXbAtc1zjpWdls7nnnNoaMJuzbq3HBRjOv2CeI+tz2acst908ShTdWDKzapR5IuMzwrVQiFq1PyJBVfUvHVSFItRfm83WWy1mLfsT5fesjhM3dOYaQOG+sJVR98R+JaUnkJWln+Ssc2lQrrdu0eB06E/M4Hq3z5oQlc16JuppSsdGi2aZta3q3zzm2K/HM5Z9xMFJ6eq+otKyIIE+7YbXNy1cL2NIzC7facA+ZwjTxm76CJ8QPmWPcWo679Ql18WNw8Hy5c//56PHy0thdj+faqwINQMlnVeNnVAz7/YMAgtBlYatkSRKrIjUiJMWSQKLadzI04xehJpOU8GqllrImU113TArHK735AZ+/pCdaEiTmMmckFHsPYSEF3ILB6EtMwEaLE3CT87Pc2mamd5osPVHn2SJVOIJmNUoIoIQwzglCnH+r0AxW00O7qrLZMPCdWSXmJRANevDPk6vN7fPmBDs8cCTl01qZkmdRKPpdt7LMW+wxS7bZMOmfDbIA+MXUhX//aTUdty/qLSNv0mtbgABumA5Z7fe7ZZ9JqmSytely2UWeyquE7GWeWY84sp1imwHMUOlHyJGVPo+pnVPyYqh9SrwyYaXTohW2+ujvhfbfUePLZOvMVyVw9oeaPsHHX0XFsTZ2QrVSJT604hwMDPKeHtLr86WdK3HLfJLbvULOgXLjIDotbvaz8iWBbItf35TeNmQ7FxqaRYJshh0+nPHPUAsyh7+A6ZyhZzNza2MGyyLzP1h0wX7CDv8CiR+1oRujJC71GgoPRQbOwWl5n65BTaKNEJ8t0LtwUsH2my54TPr1Y4sUadh7Ka4QK1pN55LmUxdNJ5PCfRGjGMJRAYd0pb7yuSbO7zM//iUU7qGIKiSHSoYRM15WZkiGTnDAlkMIYHmInq4Kf/d41brx4kb+/ZcBdT9c5cNZhrqpGp0EYqYPwQNLtS7o9g7In8V3VkE4vC04vCjzHZape5oYL++yYD1jpDDh4PGUQOEh9wOXnbWPSDf7ikYe+efQtb36HyuiJowGDLKNsB5AlPLDXxTEdstRky6TG1TsyJiop81MDDp0Z8OghHV2Y1PJDZNkXVDyo+AlVP6JSCpiu9fDcFgutPu+92eUbu6eIQo/zJ2DCS6m4UPYEZVfm8J2mRgxbHfocO48BtEI8p4/ndPn0XSZf3d1Auh5VS6NipsozI3eTLZxkbVPmr8LVSinc7UIjWWgydcU4fOyQYM8xD2HqKvMy9/YruvY6QtX49vKcwFct9+Arkiu0dY37HJiwKGLWbzNH3OsxXkpaRJ2MWy7n1NlC6Z4vbQaBya5NA67a3mPPoYieq4w57aiQ0pEnWWj5+UPxqwtTznEMv6AcaDnW/boXtXnby5b5+Ld1mrKEIUQuBiliXJJRWt5QD2oM4ycHoc55M21+98fbfP3hPn95c4PnVkqs9nTmqim9IFa5qgNJL9DpBZJqpDPbiJidXOHhAxqH95bZ0BBMVBwmqzb1csIF8xmOFXN8EVZaGbPTEXGsTFJ0gEsv3oVtu+zbHyIfP8amabj6gj4T1VVF/tdTEAO+/aTgjkcdVtYEOzdIGhWDRkWjVkqplCKqfkitMmCm0ebo2R4f/pbGtx+d4JmTFTxdZ0Mto+qmlF2NkivV0sfTKXkC380ouQm+k+DZMZ4d4dkBntun7He46U6N//qBKZqDMjVXUDVTvKK4rULwXIhW1WvYuXOClmWNVD6WGeLZAc1uxEPPeLQDB9vJU9OKSJPCBniMCz7c3D3vgJkND2vnzuNDJOWcDj4+pjxvm5nmWHhxsBxPgxiL/Y7TwohHOV+FoUHFN7hq54Cb7+vQDky6UuDoGmak5IFKmJGOUu2G35vIC1qOeDXDQk+p+Am/8a4OqbbIx+/QWdU8TCly99oMIQv7izhX8sucyqvnCRMqS3WyZvKWaztcsmWBWx9r8uX76jx9qsxcFSYHeaEHKUGgEycGtim5cIvkjTe2+eajfe56wiM55qjvRaQ0SgbX7dCwHYOZmU3Mb7yI/qA/KvAN8zNo5tztxw5++Q8v2Jb+pyeejbnnCfWYeuZsSivIsKTHyoqJZ5hcsEGyYdpkug4T1Yh6OaBWGtCodjDNDg8/m/A3X6pw994qrjTZUIaam1JyoOQIPEdxgD1Xz+f3jJKXqgJ3I3w3wHcUHOi7XT71Lfj9D01yZLVG2RshJm7OLyk6t2MWiEk+zxdjiZWrfkwVN2iZKvPSsgIe2Kdx56Ml0CwVhjo0cs/Hk+exBbURujJ2wBwiEesw8KK4x1gdeVUr+pI21rnPWfYM0ZLRYTMZxn2PDHmKTh4lgiiRBJFBkpq8/Ioel93V4c6nfDqxjRtp6/27h26zSU49KA6Z6+fx0eZSKXKmqym//eNtNCn42B1zLGl2jsbk/PfiuxqeH9STJYw1gkjk8d06Fd9m80SXn3tTh6vOO8tffrHLEwdrrHYtpkpQ76f0BhFBmJEkOllWZfOsxQ++vM0rr2yj6yt0eg7PnSwjtBhbH3D4rEub1T/80f9n5+1PHTg9KnBhzXPbF3+tZ+jyiIZOs93joot0QOPz9wkEJeaqsKUhmW3ozDQk042U6XrIRLVHvdzBMLocOBXygW/43L23RtR3mC9B3csoO+DnRp2eI3FtmS9f1EyvqLequEtuiOcEeG6PRqXNzffG/LcP1ji8WqfsGdTNDN9URjGKPFWMJYWbbH6oNIvunQ1X/HYhZTMiXCsgTAK+8YDD/iM+ZlniCJSKfuj3rY08v8cUPEWS2niRa9o57MGcezc8YK7r22OjyfMOluthwYInPhJEjFNRx8TI+eIkinW6fZPzN/X5nus6PHagSycw6UiBJbWRp/nwfKEE0SJPfZAihw8FSCFHXVxYwyfSdDXlN9+1xiCU3HTnLFKaaAg0LR2DQJOh0Wg0LHAVB9gPJL2BTqdvUi05XLGty//82S73P93h779e4ZkTFRa7JlM9aPdVN+8NdNbaHnOTNjONAdP1DkL2uPNRDbSY63d1sJpVlpZbR/7dL7+797fv+fVRgQNcec3bcB2btehu3Kce5/Apwf5TUHEkWyclsxOqsGcaKTONPrVyj0qpw2Kzz0MHE257zOG2R6bp9x2mXKg3VGF7joZnC5zhwkXkCxil1HftfCxx4mHnLnt9auUOzX6fm++vcXi1ge9a1K1MISZmofnUhgVdHCqtfO62zGxkuJnDjZalRhPbCnDsAQ89Ax+7owK2jaur3J1xc83nqejXpYjl2ULFel6cAxOugww556CZjZaamVr0pNl6mHD9/J0N5+6iyON0zPk1z+BRL0kQmQQDmx98RY+v3tvi7n0OrdjFzru4Ul8pOqrUcvVRPj8P5/FiJhdy3c1bWDHPlVPefH2Lbz1isdKto2UmijOequ8nhSRNhhlBYSgZBJL+QNAbaHT7kk7PoN01KXs2Fd/l1Vd0efFFHW5/rM3tj3kcX/Q4sOiw1MlorKYsrUkWV3XONDzmJy22zEled12bZ497rDYdLtyxgwsufAVR1Od5BW47dWzXReouFT/l/A0xUWgx51tsnNbZOpcx2+hiWT1SrceeoyG7D+g8frjCoWMepmlQt2HLREZprLCLjq3scEW+5le8bmfo/BThOhG+M6Dk9qmV27T6ff7gUxW+/MAUru1QtzKFdef5O3ZxqLS0HD8fFfcQZhzK2cYkbaYiaS23Qj56q8/ptRKmreNIpfBfb408kqEJbSwh4TtI2IbdewgfDmlVz5vB1UFTGxX5OOnqBTaYheHOug6ers/zKUw5w0inN7CZqIT88Gs7HDrtcrpj0hK6gveGh+giXeNcEUeRAjHGhT/nXCFFxhuu6bD4I0v80SfhTLtOmpm5yj4dJrwprDvPuAySIUri2Bqeo+P3VSRlq2uy1nEoewPe8KI+b39Jj/3Hezx+2GD3Mw6Hjrt0zhqcWE6YXdJZbeo0uw264YADx2PmajC3zWZmukEQdIc/5VGB2wYY1qGy7xwWur9t7+EetqmzbU6wfWMP0+wQZH1uuU/j/r02a50aSajjmoIdUyr62bUUy9BzJJ4tcJ2cKJPj245VWHFlygQzx7ldRx34yl4f0+xwz56IT9xR4bP3zKDhMuFkVKxsdKgcRpSMRpMCDnSs8dEkpxWYEbYV5bK2AMvq8cGvmXzgKw2E4+DpAk9Pch/EwoNwFEVSKOeVQeb68WRcljYcURg7XOZMwnOBwudxUCjYhONFvV7GNjTDTMiLG+U8q6skiChWNFhDNwjCBFN3+PE3tNh3bJW//oJNOyphSYEhigNmNibSSHMYNEHkft5aUegiy2f09TdqxYd3vrZDxV/kY3eEPPDUFGdSmygTub9Lli+ZUsyQMYffGNtSu4+2o+E7Oi1XUurqNB0T13GxzAoVO+b1V4S86tKQtf4K9zylc/tuj9Mtg5WOSatns2E64aJNIUL3kKZ3ONXsQwnR8wtc2pt59KEv39aoVD4xOzX5G089c4TJasREo88zJ0PufxraPY/jZ1xmKjqb5lQHVQ5HSl5kW6pj+47EcwWeQw79JcPiLtyeVERfgm2pDaXv9PGcDl++L+M3/26CQ2freGWbhp1RLSIBc8SkIN4MizsfU0bbyjTnjasbyLbiYXE7bo8Hn8r4+K0VMDwsQ+LraW5AxPOskdeNJnKUnjY6qJ1T7EMlUDaaw88VPeQE7lTTSHNW4TjZ6twxZVx1X/ilJAlD/8Jhnk+sKM2BVNGP/cDCMhx+5LU9nji4xt17DZrSxdC0UbSIyMb+/unYplaOUYPFSPwxxqfJUAKWH35Nm5descRv/m3C5++Z4mzmEiaSSpLiRhl2qMY+ZQkS59YfCY6lxta2LfFdQcfR1U7ENtBFfsZIleK+UQ5545UdLt40oNXr8sBTLgtLIeWyZLoaYXqbscyJTzy9597b3vam1z6/wAGaHQPbdr4mtOR7M6zLhJaw/6jg2RMVVpY0So7kZRcJGhVBvQyTtYjjZ2MOn9CxrREdteyhOLxugu/E+G6EaynjHZGvq6VI8yIPqfh9bKfLZ+4Q/NcPTvDcSoNy1aRuZVTMIsy1WOgUm8liJJH5cme0zBmXtdnFJtQM8N0ecTLgvZ+v8sSzNfSSRVkH1xi52Y4yd8YOmHLsADYuTRtb0Ys87FYbdvOCqVis6s8FCdcX9Dq4sJCwpYUsrejk6u1oNCmKXBDJDD0ShFIgIx1dV4l1nb7DJdtifu5tazz2jEVrYNDUTNXF1xnkF3TYcWxfDsOqig1tTjQYHZczBVfOVNr8zo+vIUXCZ745yULo03clpUh5u0tN4StSU6OgZ0LJUZZ/np3Q6QtKrk53ICh5EsfMOHwq4vhZjcmKoF5xaFQc5icjZkoh15yf8ayrfAkd2wRpPLF51vpaMEjX/aTl+Acf/vDHePkNc8d9O716qdm/4vgZnR0bNLpBRsUx2bHJYOdmwcXnBZy3scXxlS7HzmREkUWjYjJRlUxWUyZrMZO1gNlGj41TbUpuC99r4jktPLdH2YvUnWwF1CpdDp0a8IFvmPzZTdMcXa5T8Uwm7FyNYxeZlzlxytTGOCbq0Kq6eoZjp+pGsJNh6oRS/ajizujxZzc5fPbOCQayTNmU6gYy8nS2wsbC0FTIaREeW7jY6mKoNFqX2T7mRagPPQmLJ5Vy0rKtkDOrGV+5x+HUigumgSFFHr83Qm3WJSbLkXJ/nRfL+Jg0dg4YhyzXzc5ZxoapAN0I2b3PoJ8oc6OCc7Oe5lsol9RvUCRPFEzIgjrNUDonyFAozkQVrt7Zo+T2WG5mHF80GQidbiJY62f0k4B+EtCLE1qhxkJLEsWocSZSI02SgoZQ/CS7xdqgxSMHBUur0O1Bp68TJxbt/oBjCyaXbo3phIJTS95X9z1z6C9/7Efeta7A13VwgAHbIBNcsHkPJ6wWu58RmNJh50bBpdsH1CpN9p0I+fhdBkdOOMyUTLbO6EzWNCZrEY2KWtFP1TpoosOeIwkf/IZHq1tGCI35ep9//+Y2OzboGGbIwRMhv/Y3Ze5+aoJIK9HwBTUrx7nXbSiLQ+UI6x7l7yilv+reCU5BrbUinNwbxS93+bsvSf768xOsBCX1pDHSvHuvt2oehUuN/F5kYfAjxv1SstwUaHwOfwEEZcgHX4+ipNkLr+uL8SRJ148pyl4tI5Hq0S3Hung0HKOkorKGBXZtIIRN2U/4mbf2WFhe4q9uNmlJD10TORY+Qkg0LR0dlIcb2iKPW4zAznQkuCjw+TiV1MuSX/7BLjdcdoZfeV/C3mN1AsPiok1Nfu7Na8xUBUIkrPUzPvyNEnsOlzjVtJmvZEwMEgZhRppkWKbOeRscrtg54OBFi3zrUZsnjnqcWLIYBJLtm3Wu2dXmuROSkAlecd0GkjQ9t5yfX+Avf9mrEUIPH75/gdW1NufP2WyaSdg43aTZ7/GxL9kcOlFCJBYb6pKNMwYbpgRzEyEzjQFTjTYlr8Vjh2Juutvnvr1lel2Lsqkpi9ysxOklnYu2tDmxEPMbf1/i9senMCyfKYehhtI1i1hARv7j5lhq8XhESQ4HOmaajyVJfqhUxV0udXjmWMonv1VneVDGdkyqhurcKu8nG7rZDtMacjOjobnmGHoyHFPGuChD/5RzWYXDXJzRaFJcKcW6ftwHkNFqfgz7HomQ8yKPi/BYZX4jxEjIoObnDE0YIxy7l1L2E/7NK3rc/fgKe09ImpqLLgRSS4djV4EGyeLgOXQPKDr5eLamPtyoJoURUSqo+IKXXtrmv/3kEv/xLw0OnzGZrxpMe5PMliWuE+I6fS7b3OXepzp87h6XRw5WWe5ZzAcZURzlmn2bJJlkx2yX87+3w7OnVvj83TYPHvI425RsnvboBTFbts5y3fWvDeM4/scLfG66gev5v3rm+PYLs/jwy771cMotj0bEsUHFbqCnBtvqkqmaZKouma6nzE4MmJ1o47ktnj3d5zN3edzx2AwyNanZGufNQtXXqJd1ts1b1P2UXtDnW48aPLSvrorbg5qdx3DnxW0NI0rykClLjMGB+TLHUoWtNpb5zG2HuLmzVdnvceBExC+/r8YD+xqYtkXdhJKhoggVoqPs5szc6HNo0auPCElyCBuOG3Fmw26unft2WOCjOXz9IbMw/xmXqZ2r5MlG6/kcGkyk6uRxqiESEHF+48VFXF+GJsQQ9RCaMTzwCpHxogtS/uTnVvmV90n2nBA0NTt/QqmnjRyaFo06+fg8rrSkYkj0isfiBgufxDRVt/Q1O1u87MoOp75ZpbnicdcjOlvndSaqCbVySKMy4JWX9njFZR3uePIUn76zxOETZZp9g84gottLWGkanFioMNPw2Fgf8B/e2sf3FknilMf2V3jsuTIv3bj9zkpt/le73e4/XuCeX2L3A7e2TbN0oBf4N/aCQE7aBo6h0yhL5iYEU3Uo+xn18oB6pY9jtzm90uMTN5vcv2+WftdltqTcPxUJS6daVjfFxumIih+yuBZzy30lVnol5mrQsJVI2LHUAqcIlypsk4ssnvXdO1UBsOuotcoB17YHVLwuz50K+LW/rXD74xMYlkvV1CjnJC3HHJu7C39EfRRLMrJF1oasQl2MoMERfjxa+IzbR+TlMCZZGx9R8oXIeCcfPvKzc7r32JiSZCQiIxbZcKMqY204c2uaHAqHii3qOL9bipSXXtbh9//dMr/6N5L9pyaQwkDP1+2yGLVEXuRDgYc2HFWKTWuSSqJEG1sy5R4oeTTizETMm1/c55uPBjR7OicWVGdudQ3qbWXSUyvZ1Mour7uiww0XdnjgmTYf/1aNI4seyx3JmdWM6oKg7Ammah5zky4T1TKO2cMyI0olP3Ft+8Btt9/efu1rXvOPF3hxdbudfx/GpavLTnj5pVcIhKZTL2dUyl2kHjJVVVL+Z07E3PGkzpfunURLHWZ8je1zGRVPUPJ0yq6kUpLUyzBVU+LkqXqTT98Fdz9TY8I3mHQSKq4SCCtDoMJZduR9aOij4i7SyxRqUmDdcT6eRLlPSp9M9Hj/11y+fv8Ehu9RtXMGopFzx40st48rEtvE2Jgi8gCo9fbIhbHmOJ10BLeN88JHGPjQn3CoXRuJHoriXrfFXMdFWT+6FLO4yDeb8Ziiv7BtK8aI55F0Rwgfb7i2xYHjK/zW+03a/Sq6ptRAo1Fl9H2Isayfwq4ty/IEikgQ6hCEGkGoCFVJog6epp5w9fmrfM9Vq3zmWzbVFUFGRBBkdPo6rZ5OMy/05abDRKXEKy/t8MrLV/ji/W3ueNzn4DEXpyuYrmacXhUcPWNSLxsI4bFltsfGKXdPr9f5957nv2Adv2CBX33da/nKLR9LZue2ZUdPLjJR6xCELp1wwCNPpCy2da7b1WHfUcE9e2q0Wi7zVcFECSquEj/4nvLfqHgoPWY5YqreZ35qlSee63PTPTUMzWO2lFL3sqEhUJGJWGgGNU3NwUXQqpkHTI2CpUYkKttS9Frf6aMbXb54n85XHmyA41OyxBhJK79BhvEr2jo/clXYuevWEC7MTfBlNhxN1i1KigPnOM00n8G/05UCcd6xk3Px78Lrr6DGCoWDy7yLC5ERa9lQWYSmDa3VFLLB0NItY1TY6pcq6drrr+nx6L5lPn+PTitQ9Fcp0pxBWSjns7GDaP6kQPmFywSCnB+vS7WPGEQi7+LKmWC6nvDWGzs8fWyVg0cbpBlEcUQ/SOn2JS1PstbVKbs6q02TSsmhXi7xtutbvOLSJnc/vcreIy7X7nBYa2ccPq7TDRyCOGaiIdl10dZME1HyQt37H+zgN7z4RsKw/+nO2r4dx09GXpqFPPyMTc2zuGFHwHNnXW57qETdtti5FSqe8h1Rix6B7yosvOQlVH2lop9prLL3aI/f/Eid/YcbnNfImCylVH1ByZV4roL+LEP90Apiv6YpZMMs0iCMbJ0ZkG0V28oQ1+5jWV1uvkvwOx+c5vBSlaovhyQtzwLHHK36x0chXVcBUHquDx1i4ef4hA//4cc6dzF/D4XHjGbwF3S3ykZISjLutT0mUUuSjFRo5xCtVPcWaYZIMuJhcTMcHVT3F7mlMSMD+oyxxRNsmk75nZ/soumLfO4uyWrgYWia4qcIbXjeGI5hRda9UPZoUTI6/ApNgQFOIAkjtXwq/rwrtqX87o8t81sfhv2H6/RDjekgodtPaHfzmsntIUquRckzOb3ksmm6x+uvXKbT03jkqQpXbMt4xeU9HnomJks0usl0d+eu6z7t2PZ3bCLyO33h3X/4P/iBd7z8Udet/ttjx49VklTnugsjXntNh9VeyB2PuEw4Nhdu1NkwqTMzYTBVl0zVYLKWMlmLmKyGTFT7zE50KPsrPHW8z29/tMH+5xpsa8B0OVffl3SqZYNaWVIrCaolKLmqY0T5wVjXGWZfOsVCx05xLcVjUev+Pr7f5bbdKb/5tw0OL9UplUwaZkbZTvEthoJkdyz0yM5jv01doOtylDNfiGv1sbdD7Jsc686jSqQSMRt6giGVl7UhY2W4n2cCnV6Br9zlcmrZVHdr7kVuCTC0MZP9MXx6Hfd8XC5XoBvF/cJ4cY/MfIYFnhsEjeZypc6fqqVcuavLkdMZB446xNLM/y7jG871VtHFRjdLod1NaHUieoOEIMrNNhOpbJfRyDKVBrdtNuWiLS32nUg4tGjSGegkaUYUKrV/f5DSHaR0+hmdrkarp7PWtkhSh6lazMPPxnx1t8HZNZu6nxHHCRdffPWZ1ZW1H33JdS+KvlMdf8cODrBl62X0uk32PPUIjz2jMVdPePJowtfud6lZHpdcKJlpZPiuWmrYltpcunY+C1shFb9HL+jxR58xuXvPDCcXy5zXgKmx4h6KlP2Usq8MgRwr4NFnLFbbNp6jZm8p8qXK0Kuw2FQqrxTP6dPuD3j/V2scPlvDqVjUjIKkleFampq9LYWnF+nIhi6GkOCogNbzwcfHkuIAVrjIyuGIMtbRzxEgr+/eDJGUIhRqXZcuDprpOfN4eg6UmGYk+WmywM2FpiELbLyg0g6t4kYi0cLuQrRSNk8k/Ns3NLl/j8PiQEfXdIzc87xIljPyENzEUJYWuhSU/JRmL+Dp4ymeKah6CSVPaTPDWCdO9aGFcppp7JwX/PFPtbjzqS5//OlJ9p/xKbkC31A8I89K8K0E21Qe8a4jOHbW4pLzarzpuhaIPjLxmK8nHF0pc97WHVTL5X+ohP/hAq9PbgjisP3TExPzN5VPPOu1Ao1vPVZj+7TJRVtiyuUuNb+PaaRsnErRRUSzlzKIEhARmgz4yoOSz99X4o7HG5R0m231jMlSRq0kqJV0qmVly1wrJdQrIZOVAdMTa+w+GPPNxyYomxLLMAA5tJQYhrnmRpyKZ9JHN3r89w943LOnjuE71EwUSSsvbmdoJ6GWRSrLXg5N1wvzyIz1Zpvn2kesn8FHRT6cv3Py/3c24FSKTPLZW83h5IWoDeFBFRi1/nOjrBxV5EIo+FDTVPcky8OXJBiRIDYVnJelxW2mr3PhEiJlrZVww0Ut/ss7l/iVv7LoRGVFypIpehFfno+HSR7NbOgwVU/ZtqnDsWbEw/sqbKoKJsOYMFZbyTRVnuRpZg3tLWYnJO98ZZPNkyf54n0e337CJzYkAylZ7em0z+qYQmNuKsToaCz3Mk4tG+zaXOWt13a5/bGYVn/Alo07umkmfrrRmA3+2QXeXltKq42tu2+84ZWtztp+76nDLq+8VMP3Wzy0P+LQKZuJcpnzNpxhfrpPkBp882GXA0cthMxI0pi1rkEn8JhyJXOllEaJ3BTIoFbWqZehUVbFPVXvMd1YYffBAe/5zDTpwKQ6n5JlyoxeL8Jh80DXIf3VVAKJR5+Fmx+o0ct8GoVm08pwCgaipSkDIEuoNb8l87wf8ogNLe98qpCKa6i3HC9sOZpLi5cYvs1y6dYo5WH9UW9kcpJmEBVdPM0PnGPxJqnIY07EyD98ZGms5f8tBBAqpY1MrfkNXRLFYhiFkmVS2ZRr+vBALKVKgTP1hDde2+Ez31zh/v0GLelh54d7My/wSM9IEvV31lA/o/m6zi+/Y43/9smYR/Y3CGJBFKckcZTflIbK9UnNHFrUmKxJXn5JixfvarHabhOnJobUePoo3P6IRZzB7ITB+VNVJqp9Dp1J2P2Ux7FFm82TGQdPu/y773lF6/zzNu9ut1fSf6iG/8ECL1WnAGtJivDtOy+46tv7nnvUePiAUo5kicsNF0hmJgJ6ic4ffHQjtqFj6RpVQyNM4bnVlF4qmfVg1lfFXSsJakVxV6BRiZmohkzVukw3Vnj0UJ/f+vAs/VaJHdNKuV8ErI7CVdMcFlQHy7Lf4+H9Cf/hfQ3OrFUoOZKqOaLXuvnM7VoyF1voOI7I3a8yLCvF0FXhdHqCqKuEBQiGWJvIjSfP7d5SFgFdoyIvXsp+Ic3X39noEVF0cBKyLCXKBFEGRqY2k7qmuroccsCLvJ7RW7LCl0XNxmkG/SChN0iUo6susIw0d48VpJnMbzAJxWo+33RKkaLLhIlyzJ/+XJNffJ/BfftNmnnaXCECMXWwhq5UgkEoWFxz2DZf4r++c4Vf/2DGY89MjKIIszgfjYzcKN/MG4b6GdQrGZNlwfEzkwwSyfaZiF3fF+HYPf7kJp17TunM1BpcuCXidS+KSLImR05oXHLB9VG3H759ol5dsi33nz+iaJpNEu9lam7+ZBB3D2+ae2Zn1RsQxRazEwkr3R73PpWyuDLBddukMjsUUK8YbJhKON5c5ZbdHmXDpOZBzRfUywb1ik5jWNwB0/UO040VHjo44D+9f47WapkdEwpdKayWCxGDUxhw2qq4fbdHnPb548+UefxQDddTc7c37N4jhyvXFriOjucoKq/vpHi2ypP3HUWK2nfUotVVjruWKdCHPngjSFAW8YB5Bqaei27lmM3CeCd/nnXE0A85zWMFBWGqYeW+gnEKMs2INQ2ZqD93uPQpkhcoRhEVqyi0jLVOwtGFJI9bT3AtjSjOFC6dAXmRa5ocIkBSKIcEXapD8SVbI37lB1b4wf/mKnsIKTGlsocwcvOgIEgZBBmdvsZq2+TUUonNswl/+OOr/PoHUx7cN0GU6rmII84PugYaAqGZSJnh2hGaEHz9IZszZyrMTaoNpyFTojjlTS/qcabZZs9hg9se8djQcOmHEssy2bHj/MP1qc0n7330ADdetfMfLHDJP3L97u/+HCeffbBZ8cQTmibedeLkKXQz5fFDMacWDCYrLpdvF5y/KWa1rVFyDbbOG7zkigHbNq7y4NMOntCZrmnUKwb1isFEVYmVJ2sB81MdpidW2H0w5FffP8faaplt9ZSJMtTKud1xSVDxU8peTCkXJXuOWsPbVoePfF3nk3dMMKBMw9aoWhklOxdfWMpd1nV0XEdfB2GWvZhqKaJRCZiutzi21OGmO3X6XbXVLCJVVBbRuBmoeqvYgiPmoK6rTEyVBpa/9BgpInQj4eSy4Kt3OZxa1hXuSCH9UdzrQsX/PDagNlIUSTHiypiGwLYEJVdjw1TMBdtWePpUzLOnraFtbFaMRIz4JMPOr40vrEbni8lqQCeIeOQZmzCz1GFTG/HfR2r8fF+haaSpZLqm8eKLOuw7FvLUCZs01THGSGeKdqv2C66d0gtD/uJmm0PHLXxbYBg6YZxw756EE2dNdM1m+3zK3GSX08vKIXd+yyUksva2w889++T87Czv/5v3/vM7uOoSu8iSFojS6Ymlu+423SMvOX66T9nR2bQlJYi6HDirY8iIds9m+7zO1rkYXW9y+0MGxAaTFaiVdOoVnYmq4pFP1gbMT7WJ0zVuezzmv39yjrWV0qi4SzoV36DsC8puSslVbra+Gw51mxO1Dg/sT/j7LzVYbJaploXimOSx3rahDRET25JK9OyC76ZUvISyF1MpDdgw1eZss8mf31zhxEmdizcoCzLbSsky1QMK7okuFTVW1xNl4JnHdKs5XMV1D0cVmSCEggmx0nz2AIIMzAS0GDKdLEsJM0mYKstjoYFIyC2cVXeOBOgJ6DmCkg0Pk0otVXITdm1L+YW3L/FLfwXPLZbZ3EhJ0xQygUacnyV0hBD54kqi6xm6rg9v0q5u06iF/NT3dnns6RXuf8pgWbNzfWY6XPzoMs6XbzpS6ghhI7SM+Sn4g3c1efenF3jycIPDS04eZBXl9WSg6zquZTM36fDqq3rcfJfLkdOCqq+xY3PMBVs76CLlxILOiSWbTVOSaimla5e54tJL737ljS8+vdrqU6+4/1j5/uMdHOB3f+8P+OEfeu2K63rtOE7/zbFjRwlyv7vuQINM8uwxiaOb7NoquXxHk93P9vjYN6pM2AabpiWTdZOpusZULWKqNmDTdItWf40/u0nn7746Q9j12VpTxd0oS3UILUnq5Sy3XI6olgZUfFXYrt1m75GIP7+pwt37G+iWTd1UTle+Vaj4tbGxRBnvl7yUspdQ9iMqvhqPbGeND39T57bdk0x6OnU/w7PHTTuV4MLOhRQFgqPiwRX2LWWKLDp3gYHrEZYeEaUJC03JibM6j+w1GMQMcymLDp4JSZHHqRbt4+SVUbdV0F2RPKYwfNdCCbitlE1TA4KgxwP7HILYwNSLeXu8c4vcl7DoxNkw11NKdXSdLMdUy32eO5NxdtmgGxmKrVjETuU3onoy5E8jBHGsM1XVePVVXTbOtnn4kMXZVQszR5gYdnJJ2dW4fEefI4sxTx+2aPiSjdMac5MRi2sq1c93UiwzotVJ2LHzGjbMb/nlQ0eP3nPh9q3/lNL9pxU4wHv+6L9Tm9jQTeJwy8kznQtOn21SL0O1rLF1LuDpI7BtxuGKnSFr/VU+820HLXQ5b1ZnbtJkpqEx04iYrvfZPNukPVjjjz5tccv9U7jSYXMtVZ2+LPNDqOKv1Msx9UpItdxnstalUWny7KkeH79N8iefqnDXnjoRHhVbULHybaWdHyxtgWfno4lbmAup0aTihzQqPWyrxcdvT3nfl6cxNYfZUkbZVbpSx5YKXrRzm4ohoUu9LCtWbq3DDl5EdyfouuLE9NKIv/ysz59/sMzR4zpveG2fH3lLh8lywt79OkEkh/5wWq540RiFrCp123pnLV3mpLCchGaZSvBh6BklJ+WKHR0GacAjh3ziRGIOD5UjE6PC/2Qkzyss2BTyYxkZF24Ouf6SLvVyn5VOxvEFiyjV0QVoWTp08UJFvaq3mSRJdcqe5Irzesw02jyw3+JMXuTDDS6SLDPwbcn8ZIeDZzTWWgaTFZ2JWptvPaayQKUQlN2YjRu3c975V928acPFH7Atu/k/3/sn390C/6+//ye8+k0/24yNXfdX5JPbV9fWdgpiZusJ33o8YtAv8YorNEqlVf7+q4IzZ0rs2miwZc5kwzTMTYbMNHpsnFqjPVjjDz/lcuvuSSZLFpvrKY0y1Mv684q7UQmpl/tM1Vvo+hoPPZvwa39X54t31zmyUCbRbUxTp2JA2cyUHYWdoyaOHAqffYex4o6olPpM19s8d7bLH36ywdmlGhuqGTUPtXzIu75ra+ogaqe4ToznKJG0k+dymkaELlI0obAzkSMSlhHQD0Le+7kSf/aJCfbsdzFkxo+/vcPLrki4cluMRspjz5qEiQHCQArFO08zCFKNQU5HLXhamjbyM9GlIqAZhszT6DIMQ3X4mUbMpqkO9+4VHFlwsY3cJmJdGpwqnoIpqetgSLWZVb7pqqtvmIRrLoi46vwex06HHF2RtAJTEbNIx9IrchptJsgyQRjraBhcsjVgttHmwQM6p9csBBlpUqjuJUlqcv48bNvQ4pFnBP2+xa7NGtOTLfYe8ai6MZn06MltX/5/vu97fqFcOntsor7hn1q2//QCB/jg372H3/nl1zQ3zG+85PTiyku6nQVcW+epIxbX7LC4+uJVDp7q88hTNS6Yt9m5WWf7xoTzNrTZON1mw9QqnbDJ73+8xDcemmKmZLChltIoa+uLO0dYGpWAiWqP2YkmyDV+96Muf33zLEcWqmjSIZF6zlrTKBsjrokqSiVoVaOJoORmajRx1WgyUe2y2m3z3z/u8vAzk0xVJJNeStlTtnKeo+M6At9R/i1eXty+E+I7A8q+ct0y9UCZwMeSNFXuULqujPrv2SP5z++bZjmsgO0yN5Xyuisj6qaL1Awuu7DPI/sEz51wwbCwdSVhizKNXpSQxCH9KKOfqvFF19SMXnRdoyjyMSmdbqjxYcNEyMxEhwf226x1bRw9y4tcG445Qzqwno0oCEaqjEnNGF1PCEKLIPCZKFu89LIBW6bb3PGEZK1nq/GmiHnLMjJEzoERQ0crDYNLtoXMNtrc/5Tg6LJNNxT0BylRlOY4vcN8A44v9Xn6qMCSLhumE549aSG1kOnpzVx0ycs+f/Dwqc+fv/Wi/5WS/V8rcIDf/e3fpja18+FDRxa2drtrF4dBi+mKw9REj099K+LIiSrbpl0u2S65ZHsPz1ulnzQZxE1OrXb5iy/W+MYDM8xXBBtqGRNljXpFp1Y2qZcF9XKmOnc5YLLWp1Jqsthq8e7PVPnivbM42Gytw3wVJmt9srRPf2Dgm1ruEc6wuJ/Xvd2Ysh9SLfUp+y3ufDLmz26ewbMcZkspFU+jnAdr+V5hK5fiO+qQW3JDfG9Ardyh0+/wtYcy3vNZh+0bUkqOQ29gomkZhh4TJwN+9W/LPH2yQdl3mPIEW6YMLtzoYRk2cSypOAkz9QE3318i1VyqJlSMlDDROH9+jT/+qeM4Ro+TKxrLXStfn2fD9bk+xltXRa62jiptGi7Y1OPJwylPHPEwhMQsfBfFmBxPCvRCsld4slsRvttjrRNy4ITP4sokza6PZ5tcsjVhw0SbfSdhsWOTpWJY5EWmfZrKoSF/nOhomsGl22Jm6i0W2gNsK8K0Y9pBxsKKRhwKksTh4m0a1168wuOHBK22DyJkbrLCZRdf8uldF73y1xyD4C//4k//dQv8D/7wf3DZi24INs5t/OodDx56WcWON7XCmCcOZvS6Ja7YbnPFzoQdm1ro9hJ/8xWDz327wfKaze5nMr5y7zQbazob6xmTVUGjYlKvGnlxp9TymbtR6bFheo1vPtbnF9/b4LFnJ9lQEmxuZGyYkFy23eBn39Lmyp1LPHTQIg4tqk6Gb40Mh8a7d8lVB8uqP6Be6dCOOvzBJ+ocP1tnrqJRHzMF9YuXU3gmquIu+QPq5Q4LzTb/8X0+H/rqPCdW6nQ7ZWarDmmqo8sM24pI6fOnn6vSCivM+7CpnrFlysJ3PAxd5pSDGF0f8KFby2Say5QNE37KfF3wI6/OeOXl8KbrelyxfY17ntJZaDrK3kJkQxpvIc4wpMg/Vi9NKLffRqnLPY8YLA8cbMnQOUDPQ3d1vYBCFUPTMRMqfkiz1+O3Plzi09+cw9Q8wCSKVbFetSPmzTeucmQhZfczJUypIXLqwcigSOSv4skmufqCPp4TcMGcxw+/UmPLbId798GZVUGrrRHHFltnLKYnQ9r9CC21ueFy5575zS99R3Ppyc6ll135v1qu/+sFDvDpT36M3/kv/zZ66TXbf+Tsmf1bnzuRITWbqy+EyYkBOzc1OXi6w3s/VybqVbh+p8nbXhrheAN2P13h/KmM6bpksm4xUVVq7EYloV5WGT71cp+ZRoswbfI/v1ThscOTbK5qzFUzpmuCuUmLLbMaW+fUo+/evTYrazYNL8O3yT1ZVJGWXHLkJMq7dw/LavG+m00+f/80dcdkylPdu1R0b1enlHfvkpdQ8iLKXkC11KPkNfm1v3P5xu5Z6r7N+RMZk76FlA6urWGbCa4dImWPD3+zRhj4zPopk2VoVHR8R885MSmOFdHph3zoNh9duEx5GZMl2D5nMFt3kcLA0CW7tgTM1jvccq9HoikPczO3l9OFhtTH1UcgdXVo1LSMLTMBqehx79MeKYZyz9WzYQ68rueR6TpqS2wl1MoDji6EvP/rFdLIoWJlCE1H03S0TKE+U9UEqfX41hOC1Z6NrglFPUghSdI8okQJkdNUoCEpeQkfvc3krkcnMLUSW2ctXn5li6PLEQdPWlhGyOlli7qrI8hohW60def33truxV94yY2v+OeU6j+Og3+ny/IvJMvSh3Ze8OLrD5+8xzH1AM8N2L3PZa1jcvCUpGRUuHybwdUX9Rmkbe583GdrA2YaOjMNk8maRq2cUPEUxu3ZIb4b0Ki06cct/vizZb756CQby4KZckKjLGlUTSZrgno5xDZjBqliY+giZ7wV8jOj8E9RBkCuHSv3LL/H00cj/vrL00jNpuEUNFqFujhWYTNX2FAkuHa+XLK7fOVBuHtfDc+xmPZT6j44tiBKNAaBIIykCrIyNNDUWKBMhdSSJkkhzG2Eo1gnSVVygSFU0dqmGh+6A8Fyy8K2PCwz4podq7zx+kW+8tA8q7pUdsiGcosyggTLEPRMiTWQypfRMLBMG8fy+Kk3rfDV3avsOTxN2dRwAqWGCsI0fwnCSKlxlLZSKnqtltGPYLWd4K2qnE0pTIRUB9FXXLrCf/7BJf7oJsGxVoU4EwzijF6Q0ekn9AYpg0AninSyzMJ1KrzysmWOnO5w15Nl+oHLZTsEN1zQZNofsG1O5/HDAYdOZ1RKNjt2XPnM6YWFn52b+acfKr9rBT45USLLmv/Ff9FLs/0Hj//iyRNP2M22zfa5hEcO6Ax6Pq++SnDlzjVW+23++ksWp06XuWSzZOOMyfxExnQjYLo+oFbqYxoxcZrhOQGZaPFXX7D42DemmfJ0ZsrJkH2oOOMqHqXk9Xlin2RhzcQzUV4m+rh2M4f37KJIB6B1ef83fKLEZ64MJTvNowW1oc+KazM04i+8VSp+n6MLAX/yqSpnlsuc11BRhU6e2Kxp2pDUlBbZ8ULLxwmFXGiaQsniRFFZk7y7QaFkVyhHRkYYQa8v6fRMWh2XDdN9fvUHmjx13OfY6QYlU8MK0tzyIqVvJLn0TmAbAtvUsfoWra7LlBXwk9+zxi/9dYnlQUlxdEKVrGCHCUGoUoiDSMuDoFSax86NA+7fk9HsZpQ6MY6lePOGYWJIF9NI+NFXLTEIz/LHn5GcaPm0Q7XMMvWMug+zlYjeICWKDdA8Lt6W8O/essbf3wK3PuKz2DR55VUlKm6Hxw7o1D1JkraZnNw+eN1rXvdl03Ky+Yl/fKHznS7xz/4/AU2rpE89edfvzM/V/8hwN4eahLOrMZbm8NaXRDh+i72nOvz91yzOnClx2Rad7RtMdm2Nuei8JhduO0M7XOTufV3u29/FtVt4TofdBzI+9e1JXGkxUxz+8qTkImuzURmw2hnw6TsczizZlB2ljle2YKNcHsfKRRF2QL3aZe+RjLufqONbBlUrV/Fb2jBqUC2HiuJO8Bxl5+zaXW59WPLsmTJ1V1LKVUGmoUYD5fo0ZrOpqfz2gr+iCYVvj8w2R1mXw+jwsfS1OIYgEgwClTzW6jhsmZa88epVulHIaiDoBBq9IKMfZPQHimjVG2R0B4JOX6fb1+n0LDo9j5dcAhdtWaXVTmgFgl4A/TA3xQzV5nYQqj+v0zeYrev8wCu6lEsDFjoazW7CWidmrQNrbclax2RpzWUQlnnHSxNuvGCZfhiyGqa86NJlrr18BbvU5MmTEXuPJew/GvLssYwnD5bZVK/w46/vc/7WNdphi5vvFoRhialGQhxHnL9tc1ipNf7ooQe+9TvzE276z6vOf2EHL665+iB80QXVd5fsifAbd3V+z9QScdmOhKdPBESRwbNnaywsSC7fZnDBFsmOTT3K/hoPHQzZd1xw5HSJxWWLDRMJV563hmUGPLLfZnnN47yJlLKbUXYlZU+JIiq+WtJM1js8dSziySM1ypbAM9NcbV+kO2TDrB/Xjij7A04uDnjvzVVWWj4bKqkKiy1GEztf5TsZvpMqyzlHWU/UKl2ePR3y5fsadEOXKT/DNhiq8HWp5XYLI0LVMO477yJakWkytIXQxpQ3wzButQTJD2pRXuRBKOkOLKolmze/uMvXHljj2dOTeLrAkmmOXyuFkUqoK6w1DGwzodW1mWk4/Pz3dfgvH2ix3K2pUcXMGFiF82vGINToh4LewKDbd7l484AtE132HbaZ8MAtvB5NHdvUcSyTxTWXLbNdLt8Z8u29MTVX8s5XwNxExsJaj0Nnujxz3OSx/SU6g4z+QCdJy1x6Prz+mj5HTmskaYcnnnVplG1mJmR6trfx985y3p8Sr4b/0vr8F3VwgPkdP8rjB/V+fXLXzTdcc3mm6Ql7jyWstTwu2JhQszN2bTS48gKN6y5ZpVQ5y999PeNvv1Tm3kcaDFplzp/yuHRzjWa7ShAZ9CITU+pUnAzf0fBcmSe4pVT8iEZ5QJZ12X3QoN11abhFNmYxQ6vYQMdKcewYzwmp+IpI9a2H65RsQdkuMPMcUrRzs9Ac8/Zzv/JaqYfQetx8r8HjR8v4lsTJ4TgjX3UXwt+hsFdTjMBiAzn+NVhveo+moL+hbpKROmdojRxLwkin27fYtUnjbS9ZQRc9lroarUCjM4DuIFMdvJ/Q62d0+0KFOfUNuj2LdtfjVVdqvOMVK3R6Ec1A0A+hH6Yq/ClM6Qca/YGg29eVlbFtcdWODpEMWexotLop7W5Mu5vS7qmowE7PIoodJRTXNSYdwd5npnju+CwlY4pXXuLzM2+K+fE3rbAStHjgQMCjz6TsO+LT6rvsP25Qcx12bh4QhgHzm16UXX3J+TdftrHX/92ff/O/tDz/eSjKudfv/s5/Yst5G5pnV82Ty13rjWn/rKZpA/YdEVQch+suzqhUVnnscI9P3FpmYdFntmyzY06yZcZg86zOtg0ZM40Bp1f7vOezVWxhMVdOc5KWygKaqCZM1QbMTq5x//4Bv/exSVzhMlvOqPpQ9nRKvk7Z06j4idpY+gNmJto8d7rLn3y6xkq3wmwJam5GOR99Sp5O2S9uICWSrpYC6hWFuHzo6xl/9pkG3bhM1RFU8tHGt5WsynXkEGsveQri/PhtGV9/sIJn6Aq+HEa3jGDLkqe4MK0QHjtQYSJHgYZPFEtTlnR2im0k6IYam67c2aUXxTx60CVMRp7fIl8CCZlvKfV8S5mv4l0nZX6iy31PG5xe9vCtkVWd8oNR/08hAPHsjGsvbrH3GBw44eGaqBQ6XUPXpZr5cyvsbfNt7t9nE/dtpAaDUKfZNVlec4kil9mawdUXhGSix8mVlLOLJpNlnQu39Gh1Irp9m+951RXp9u07/n1kXvatRkVL/u5v/vJfXJv/4hEFYGb+Mr52/4HwyfK173/N5XvdR4X7Zw8+GfCiC3TOnw9ohz3+/qs6WTjBbM3gonkVOehYSsjgWBmNSojnDDi2krC8ZrOlqlbufo5ll728e1d7hEmHL9zr0u36bJxS1FjXKopCpUeoOVqxD029xxfvNzm4UKHuaJStdN1o4jhqNPGchJIbUfJCqqUuttXkE7dn/MHHG6z0K9iOjjFmcMk6s0qGI4oQcOysZBAIhDvy+Cuu8Vwe11bq9oIhOPoFBW2j0DQqbHkQqkSE//yDTaJY42O3zrHQtXI8XEWfG0acF19+HrF0nL6lDqsTfd58wxp//OkyawMDL49tHAQp/SClN5B0+gK3Z7LWdtha8vj+G1o89kyJxbaDXxzaHUm7J+j2dDo9k7lJg5ofcnApY62dYOohzY5QBqO2Qdkzmal7vOaKHuHlbT7wNck3HrLZvsFj22yPUE5w/wH3l37p5S9+/4XB44lmX/HdKM3vToEDvP76HXSaJxPPe9uhdvh4u9X+YikKuxw8o3P/Uy7bJkwu2KzRqMSUvADLgJIbcnrJpDdwKLkRUvb56G0uZCZlO1OdMfdWqZRiauU+Fb/N/QdT7t9XZ64kqLkqiFbxRgSOzTr0o1bucXQx5JuPTiJSm7qTk7GGUSoyzwpK1DLIC6mVerh2i0/cAb/90RkGUQndNoBCcLDeVCd3bhh7q4hN6+3aWPf++Idplg0/fv7vXTD3FBsvywTtnoupm/zWD3fJstN84vZZFrsWhkyHkj6FJOn5LK7jmAatrk3Zc3nN5W0+d1eTUwsTVGyBG2TYA8WU7FmCTk/gWDq2ZbG0VubanSGXnbfKA0+bVDpymMzhu4J2T9LummQTDu98XZtf/+sarb5OxU9Z7cScWVW59aYJZRfqJYcLN9u87YYuDzwVomkZ7cjnTa95WXvD1msOHTmxkGzd+N0pbvguzODjl9Rdbnuk+eXZLZf97Nadb1jJZIPHDgjOn9F51TVdrr74BI89t8qn74pYbQd0glX2HI4II2hU+nSCHqdXbSqWhm+jxAmeoJx7q0zVOhxf7vHbH5wkCRxmyillV/264Rxt53YSdkTJC3CsLrc8aLLnWJm6Q56KXHRvHSf/fzxHhWBV/AG+2+ZT3075/U/MYMgqW6uSHY2IkhPQClIGsTKhz4aJaUU1ZqOKX//O866hOjMbxT+cK0suOr8UKaaZ4NoDuoOIEwsepxYnCIIJfv0H+vzAq86wHMQs9wSdfkZ3kOaISprn4ai5uts3aXZddszrfN+1TcIoZG2gkJhBmCrJWz+hO9BodwXNtsniqoMpy/zej3WYn2pysgXNXka7Nz6LG3R6KtS16nZZaIOpSy7anuH6fapV+P5Xtrj8gkUeONTh649lPHfC5pItEXNTJd7+va9ZufbaXT87P3Xky+WS890sye9eBwdwvBoA3U7ro1tf+1L9FrQ/rPm3TS6tNrnzcYlre5w663J2zWS5NeD2x+sQlbl464CVTpOP3G5w6JTL5rKaWUuuTsXPqJZjJqs9hGzxhfsdFpcrbJ9IqZdUmKzv6XiuxHPUaOLZMZ4TUSv32Hc85ssPTGJkFnU3zbkqCvMeHSwztY73AhqVDofP9vnvn5pFUuK8iZQJX3LdZTHCXOKDt/p0umWiRBua9AyLM9PWW0Ss8y15fnVn535+7MtFcQuhNo+OFXB2rc9Hb/UwsiovvsikXnXYMCX4tR9Y4sH9Kxw+MYVv5vGJRt6Rc7s7x5LYfYNm26bkenzPtU2+8UiTQycnh128cCsweyJPKtbRpY2up2yaDXnbi1v81S0OZ1sOvqUO4+WuSbsvaXYsts5o/PTbFvjwVyXNvs91DZPZlw544kDGXNXEECZvfnGGb/Y5uSQJVyf50e9/yeLm81/+n5qt6KPVyiXf1eKG73IHLy7PL6OL+IPf94Ybf33T5osWV1omZ1Y1+oHH5dsTbrw4IYgjum2T63bFdKM1/u5LJQRVdmxKMCT4rqRcEtRKKROVAa7T4q9u0fng12bYUNGYKEGtpCRtJU/Hc7Scs62QE98NkKLHnU+aHDxRpuGhxh670GeOqLDFDVEv91nr9virL5VIkzKbKhkzFdg2r7NhwucdLzF4+8uaRCSqi6djaEiWe+twTt9+oc+N3RDrPlcI7/NxR+RutpaRoImQz95tc9O3pzlxxubAcZOzKy5nV8qIrMz/95Y1GpUOCx1Jd6DRG6Q5Nr6+i3f6Jmstj+1zJi+9vEVAQLOv0Q8yBmGmLNUGCa1uympbY6lpsLTmcHa5yv/7WsFPv3mRtTBhqa3R7MQ0O8qdKool+445JGGFn3lTgOu1eHCfRtkxMc2Ae/faPHrQxDd0Zqt9Jstw8a5di9MbXvbrvW78wWql8q9Riv86BQ6g6SW++rW73x+m079qlOZXNjQyKqWM4wsm9XLMgeOS8+cNGvUODz+jY4oJfuDlOnO1FN8W1EqSRjmjUQmYn2qx/2SfD9/aoG4azFWznBhv0qgYVHwVA14ETzlWTMXvc2I55ov3VRGJRcNT3VvBgvpwY+nZCvMuuSElt8PN98FX7pugYQsaXjbcnuq6klvNVFMSEmUtkSeinVPLalQZC2xan5XJC7Tu7AVbucrFUSIETYs5u6pDKkmSmNVWxkpTZ7Vl0+6UeOO1Gm+5cZm1IKE50OgF0AtS+oM4d43S6OSwYbNroeHx5mtjtk92aPYzepFGEEEYqaVRqxOztJawsKJxdsXk9JJHp1flx14TsnPLGkdWNFbaGautmNUWdPoGp5ZtPnn7JMFgkit3apxp9Xn2mM2OjbDaSdg0BattjSNnbXZsm1iZn6z96t4n7nz/9NQ/bN7zf2WBA7zxja/joYPtj7ilTT9/3pbN7TOLGjP1hPufjtBSh01zAV9+QOPsQo3rL0o5tRbSaRnMT0imGoLpRsimmQ6nVtr8xRfKmJrLxmrKZFUy1TCYmxBsno2ZrsfoucuUrqe4doimDfjKQyZ7niszXcooWYpG61k5jdbWcO0CEYip+ANW2gO+9kAJqVvUvTQXKKtObxnKbySKGSaeDQ+E587QWWGS9p1n8NHson3nOYVCcKzydgxDtfggyugNUlpdjVZXZ61jMwg8vve6PrVKl+WeoBugNpxBqrp4X3XxTo56LK257Nps8PprmyRaRCfQiBL1fcVJxuJawomFiNNLEWdXYGHF5PSSTxxV+Q9vXWNmus1zS5LFtYSFlYQTZy0avsH0RJf79wpmKmXe+OI+zy2EaKnN9Ze0WFxJmCin1Ce2ti/Yvunnt84sfOQVr3rDv2YJ/usWOMB8LU591/q0X577ibe8Ym7QqKyoOPCtCXc/lbK87HLthZLNc6t85GsmluZw/gbJ9g0BF25ZZrp+lq89nPHYwSozvsZkVWOyZjA7Idi+ccCFWxcIoiaLa4q9pssU1wo5uhBzywNlHGnS8NI8u1Nh1m5e3MU63rUjKn6Pz98tefJomZqtUbKzYYCtY4FpqCJTUOA5uN85NfudP6Gu7Du8D+tHnvXG+QoujFKVO6kKFzo5X6XTc9i1UfBvXrrKWi+lG2r0A+jnXVz5/mk56mGw1rYJQp/XXxuxcaZLJ1SLJSk1GlUd3U55+mTIc6eLIhecXbFZWStx5TaD11+zxMlWnz0n4dCpiIPHM6KwxI+/vsfRpS67n9KZKfvccEmPp49m9Ps+J1f7LPa3Btu3zP5Etep/eqWt/4vW8P+U67t6yHyh62fe9UOc2P+JZH7n3Oe++Y0gCbKLPzY/dcreeyzFxObFuwzO39zl3mdSRFLiku0GF503oFpZ5Mu7FUf7rkddHF1nqgz1sjL53DQTsnl2mW/vDbn9fpcdszDbUMQjIUPuf0pn/6EKmxopZScbcrwLGZozDIpVKWya6HN4wSbLLEp56JUy59RU/GEuLi5skov+PMxnGocJtRcYW16gyLOxj7LshYo9t8/PeStpmhElEMYQRimDMGMQCHoDteWslGy2TAfEhLQDi7KVEoQwCDPMQYwhdeVUpetYpuriF2/pcMNFHT5/V5kwUVvZellw7aUBjtvlnsfK6ELD0mNcW1L2HSZqHq+5YpETC8v4tsVjz7g8dQRs0+Sai+u86KIue54x0aXJtvmMXVt7HDpu8LKrLwiuu/Ed7Upl7r4w6idXXV//1y6/f/0ODrDhgh/iT9+3lPzMn77s85s2zr/TcOd7WgzlUsogiTh8ps+Dj/tcd6HJiy7qcWptid94v8l9j8zQ70zTHShcvFYSTFR15iYT5iaa3PpYwN9/qUwUmNiW4mI4dsRaN+T9Xy/jWiYNL6PsCUXW8gzKnlJqO3Yee2Ik1EoBu/fDA3t8XCnwrGyM16JQCbVAidD1DCNPVtBeaNEzrHxV3uPzt3buHD6s9BHJ6txXEV+SJoI0zkjiLC/wjDBMGQQj/kgUW9x4ccy1F7ZZ6WoMYjVXKy/uhHYvodmF1Y5grWOw1nbo9Eq863t6VEsBvVCNKYMQLGnzU2+MePm1a5xYSzi9HLG0lrHSNGn3LGzLomQ0ePlFFX7vJ9aYnGmy+0DAA3scbtxlsm1DD8MMWe0kZInkqktne5XK9I9evHPLJRtn7NPbNtb+d5Te/54CB/iln/1B/scvPpiVg85NL7ly00+ct3WuubAGnhNw5JTJ9ReaXLS9w9ce6fJ333Dp9Stcs8Ng0ww4lk7NU7rNyRpsnOwRZS2++ZhJGjnM1gW+WyxrBjR7Ed3QZdLPqLpQ8XMbirIy4/ddlbhbWB5bRkSYpAwSE0dXCRJFhKBlqKeCbcYkacxyWyIQOQ+F9TyU8TSHsd79j0zjYzWvrc/LzElZcaJU6/VygtAT+pE2TBAOoowgFAxCSRCaGELH1WPiKCOMtWGUdm+Q0urErLVi1lqw2tZZa5usND1c3aLi9VjrQ2+Q0emmnF6yMLQSr7piAMaAE8sZS2sxy03BWtum17c4ckbj4ac9XFnlx1/f4jXXL/HE0YCH9vpsmTFo9VOmainV+lyzHZ7/E3fdI2767Oc+ckbTtERo/5SfyP8fFTjAG1//TszJCrsPVD7ZaOz6hTe84trlI8t1pDC56LwmDzwdY1LihgsMzp8z2LEl4NhSgMBitiaZqElmJyImG2s8/GzGM89V2D6dazpLGdVyiGF0+dCtPmHPYaacUS1J6hWDyarGbCNm4/SAih/lBaU4GoMo4fFnTTp9Q3kV5nEmpiEwTZUo4TsxxxcybrnbIwwlpp4hihzLIm1tndl9Mat/x2oejiDFJ4rizlJlUazyeTSiSGIbkre8ZMDcVEB7oBFGGVGUEkYQRhpBpGi1nq1zyfkDpBUTp6Obb62bcXwpZWE1ZHktYqUJyy2dxTUH1/R412vb9NOQ1Q40OwnLa4LDp8pcvMHmyh0dTrUSzq4kLK6knFp0SGKfueku+47HPHvc5aE9ddKwxrUXh+w90mfQE1x7icPs5huXr77i8l9466tKn7z4YoN3vP1d/1iZfFevf/UZ/Nzrpa9+JwBPPbf2ESF1vdGYefeDu2+bvOPxHq1miVdcPeDEQsSU57D/ZJev3OdQMk02TunMNDI2TLU5dKbHl++rMVeRTNUEjbKgXo6YqHTZdzzivr0N5isjo89GRTDTiNk236Ib9jh4qIolTUwjQYqM7iDjkadsel0dtzxGPhrmZyqTH0QEmiI3FeJdmccLDpMcOGc2L77xc8HxooOt452cm1WvEo2jRBDFOlki6EcJcaSCAcI4y18qCGoQ6JRcwbW7Aj5xe0yc6pi6RqUkmbBi9hwNWTltkqYRUmpYpo7nmJxdKfHiXT0u3NLm1KkGk52E5VbCmWWDernGW65f5NCpNseXK1T9iMoZk1qpzA+/cplb7lth35E6mi45fgZedaWNeUkbRJ3zL3jt4vUvftGvQfwRTZv5311qwP/mDj5+XbS1ylxNfOD662749SuueM0iYoJtcwF7Dsd0eh61apN7ntA5b0rBWdMNyYapAa7X5Ka7XU6f8tkyKZioGTSqMFkNqFeafOE+lzhwmKpk1MqSRkUyWUvYNNshylb44K0aX39AsrSmEUbq2zeNGN1W2ztDFhYKRW5PlnOsI86sZfRiHdtQdsJ6kTwstOHB89zQ1xcaT4YxVEOY8dwZvIDrFLIRxRpBaGDqkplaQJBkBDFEcUYcp0Sx+l6GWfUDjSBWFAJD12hUDL7nWo13vr4JVp+ji7DcjFheS1lekyyuOth6ibe+uMNCJ2KhCavNiIUVOHraY9NEmXe8tEczDDm1rDr53sMOR040eNmlKWvdFr5psuu8Pnufi5mdqPK6V79m8eqrX/LrcWR/4P9UccP/wQIHqJRcSl72/te+8ppfecNrX7s6Nz9Br29x8bY+nV7KDbskL7owouwLZuoJs40Wn70rY9+zFS7ZJJifUvrMRiWiWu5w51Mpdz9RY0MF6iWZWzRnTNcDZuqr3LJbY/feMmVLG3ZZXSaEcUqQiBF1VCoW3EhtnmAaAbc9anNqycKzihhvJXZQHTwba92MWjicM6loYxCKihYZT7LPivzMVEnbwljJyLoDg9m64NVX9gjihEGk5uvRSyOKJVFkKKTEiImS0R/V7Vm8+EKT11+3xolWwuJaxmorYrkFy2smZ5ZLvPRig5dctsZiL2O1nbK0GnP8rMZThytcusXl+1+xyom1jMWVhFYn5cH9gnv2VPA9wZPPZbiWhV9tcOXVb1idmLvhV86uaO83TP+fUgr/atf/0QIH0DQX07A/+uqXvejHZuYv+MWX33ht9ORzoGUmm2ZCugPFxSj7XRZaAXc8UaJqmly6XXLh1gTfUfrMZq/Le2+qYGUG01WlYK+XBROVmA1THU43+9z9RImGK6mWBLYFtpngOyEP7Rc8dsjBMbWhr4g+1r0tQxn5dAOJyHQ8E2xDWafp+ghRGW4kxzBATSsUPbmg51ykZN3PIn8nV/WoA2IhJdPRsPCsjF6YKH/DOCOOM+JYIS1xIugHBpdtS7n2gi6dQPlHDsKU1Y5kreXzsoszphodjixrrLYSVpsJS2uCsysOaVLmP769i1/qs9rR6A5S9h2NePyAoN2p8NJLMqr1iJV+TJJEeE7KkQUIQovzNwbMb7o2umjH9l9szL74xzyv9NENM/98LeV36/o/XuAAmmamrdXFL7/5Td/7vk1bdv3clVe8PPE9Nz12VmexIxD6gIcPwpHTHpO+xUVbJfOzAftPdTm5lOI7ATffp7O47LOhpjFZ1WlUJRPVhMnagLLX4uZ7TRaXHCbKGmVPp+xlVPwAx+nw3KJguW1j6SOLYmVTrKDHkhex5zl4/FkXz1AwonKtVTEoUqhxID1HdExhfyxGCZbAMOmgkKwpA0sV3SdzVCZJ03yho9EfqA7eDywuPy/hkm09Wj01h0dJNkqDyCCMJTVfsnW6TzeKWO1Cp5vQ7MDims1MzeEtN3RYHUQstmClFbG4lnJ2Ref0Yonpssf33dikOYC5yYztm7scX+qz55DJ8lqZrZM6V1wQEWUxjVLAxokM3XDSa656SXLRBTt/7vxdb3vfmbMnv1wra//qS5x/yvV/RYEDTM6cz6NPLoa2N//Ri3du3TW/8cLf2rGtwaTfx7ECkkjQ6UsqluSqC0N64SoP7pHU/YwTywMeO+gxX5XMT0gm6wZTNZiqhUzXuxw4FXDnkx6OLqn5goqvUS9H1Csdbnss46O3T6Bj5nzrnKKaq2BMXd1AC004u2zhmShGYh6X6FiKFBXHGmEsiJJcKV/8PrldmhhT1SfDxc2owIUoDrcqfiRNYRAkdLoZnZwo1R9YzNYEM9WQbpARJipqMElGYgl181j88CtjXnnVKovdlJV2SquTstrSCQKHl16ScN6mHifXBEvNlKW1iLPLcGzB5vRijSvPE8xPd1ht67z44hTfa/LogZhe16biRNjSoB/GnF4GaU9x4c4Lf6tU3bpr68bZj85VT4RXXLrzX1QL383r/5oCB7jqsu1cdfFcv7N2+sD3veGSd+vOrt+bmL4o2b3fpuxlLDVTNk1JGrUVHj9gMV2x2TjdZ+8RsDKHCzeZzE6aTNdhbnLATKPDRLXLowclx89YVBxl7lP1M2Ynepxc6fGeT0+gR2U2TccEaUqYkJtoqmKzzQRNi1jpCaSmU7YyXEvletYrGrMTKhFuta3R60vCSDk6ZXlXVn4tyrBey31RokgdCuPiZtDUE8PSlTKp4uv0o4wzKxGrrZhWFzo9SadvkaYWJS8mJiEIIc47uDpQpkh9wNGzBlo2ya+8PWRmssvptYxmO6HVFbS6Flum4arze5zuaJxY0zi9ErOwGnFqAZ4+7JPFNS7aFnJ8KWJx2ePy802WOl2OnTWoVWCllfDyKxIuu2hHct0VF/5eL7v03afOrh1wKlv70/O7/k+X0brrfztM+E+5Xvyyt/Opm76Q/MA7fvS3j51cNFzv1u93tfs2fmu361y4uc9dj/qEsUO5ktKPA5495nDZeQYxGYapsWlmQKO6xv37A44tOpgSqk6Ka0HJk9QrMYgudzxhIOISb7xKcv0VK3zyTsHJ42WyVI0qukzwnJhmN+a2B13aLYOtmzI8R2k45yYipiZW+fpujV6zju8oQ584kUCCKcAyVGyh66hxJowyOn3lYKtuBklGiiEU/u65kk0zgnLQ4vbdOnEMriOolgRrbYMNUwZvvLbD7v0RnYFNHKvkMw2wjJiHDyR86ptVbtxV5RVXWLzi8iZfuddiuS1pdZUkrd0zSGKdGy4KmJ3ssWe/h0ZCo5zR6gc8/ozN+XMxh44FrLQlpmlx42Vw7HTAZeeZLK05TG64PnjLDS95j2VP/vbdd97CS172LxcI/2tc/1d18PHrB97xVk4vNLFt5zdKvrXryqu/7yNXXjh9797jtdg0NHZs6LFjLuTAScFk2WbrfJejZ/tMVAbMTa7QD9vc9pDFA09Ocvl5giu3R9imoOzDZG3AwwdDPnVrlfOmdOYndXZtitk8EynEQyixrmVk2GbEQjPh9IqhRMamUgOVPZiqDchoc+9ek7VOQm+gXKvSRDlnm0KZEbm2YLoumKiFLLUGLKykdPvKDiJOBGQCKZT7lWMJaqWMGy4OQB+w2Exp///aO7PYuO7ziv/+d507C2flcBdJkaKozRJly5J3x7Ed2FJjF3CbpHlIEbRu66Joi6JAFxTIS4oiL0FeWhR9a98KPwRJithx7MCy49iyZUkWtVEUKe7bkLPPvXO3fx8uaQdBAyRtHdpKDjAP8zKYuffMf775zved0wpo2iLal2zFoj/RGZeWF82lBEGkgoZScntV4eacYHktZHY5xZc/K5gYb1KqhtSaEttVuHjTZHLK5JH9OmfucbHiNosVn1JdsrfPYXbNprQVZ6QvYGZZ4fqipF4L+dwpw2+4PW98+YtfeP3gXY99c3pO/3sZVnnokTO7TZefi08swQF6immK+WT47DPPBT98q/3HLeXEU585dc+LD5zoC+tOgqbTplLRGOgKWNoMOLRHRwqbK7OCWsMgZSpkEoJr8yZb1ShRIJuSpJMtljchF4/RW1AY6Pa5vRZyeVoHyXabjW3btjYXphUuTMfJJCJrNctUSMVDTLPNuWsh9XrUu3a9qG8dSoFAwVCjEzxhafQVQ7o6ayxVHJZLAQ0bHFfF99XIBWu77je2Y8wLqZCTB5u0PEmzFWA7EqetUmmYHBuFiX02TU9iu5HY4/kgUDg66jPQ47KwEbK4rlKtpenNe2zZAZVGQK2hku8QjO/xqdQNmrZJLiE5MCzxFY8rMyl6OkMWNiT5Dg1db9GXN1CtobDY+8CLz39p4nR3fOnRrs7M3x7an0EoH8+iwv8XPpElyv+EP/zKGXz7al2Njf7Z+lL/dKl66fDFqcqzlj5LteWyvpWgr+Dy1qTOvft1cimV4R6FVNxlo6rStGPk+lRyHT4bNZsfXehgqFOhmFMY6KpzeVGysBajaEX1csyQdCQ83MBmck4jpumRH8q2XULMiAKmrs7rNFoqqvKRCrnjdxIlM0fhs6m4R6i5tDyFMIiMdjw/8tLe8UTZ8VAJQkEqDvv2BLx2LpoG/FCSd1XctsmRIYdX3vGotgxcL9wWejQGOhWKeZepWwHrWypzKwkeO1blzUmHcl1ns6ox1Bcjm3apVgOmlxM4rmAgJ7jngMPMkktP2sRuN9msaDz5wCClRte3j/ffPZkpFL81U2nXTx4b2206/ML41BAcQLMOApTOXZr/h/GJscHBvbdoVq88+8rZKwx0Nri55DHaraFrDssljXhMohkB0obBoklnViWfafDdd1WclkX3gEJ/MWRly+a18zE0aWBsD1HFY5JUwuH8dMBL5/MkDG17XDaamda2t9etWKR47mTLC7kj3kgUolpe18DQJb4SEIYhrh9GixMfnvYfdVh24gJdT8VuK7jBdv57uJ2KHCjYbYsnj9u8drHOzEwO24lcXb1AIIMkjx9vUas1WSqprJQ0BnuTfPZ4g5ffTFKqhMytJBCEeL5Hw1Hozkvc0OP2ssmeniqTNxX2780R6zhM/97xbz9xaPgvCFpzQhvcbQr88pzZ7Tfwv8G9R/cgg605lIN/PXlN/4/Pnx7/c7t26eHNxgy5TJnLt036C5JSVRK3AspVk6Eeie0FOF6blQ2TPTmVQlajt1jnykLA8kqWx49Lrs1DiCCT9CjVW/zLdzqwiKOqEseLLB4gsnDQlABF3Zb09UjVFIoklApuOyLqzuKwKiSh2PHQjogsJahqiGlKFBGlzvqBxPUUXF8n8CHcaQFuv45p+Hi+CuR44bcafP3f41SbCYQIcT2XV99LcHSfQm/Rj07xssbSeoq+vINptomZMLsiyKUMqnWfnnQUz9qdhw+mXQZ6iowf3s8j9x4+K1TzW7GOsQ9m5r25kcHdk9v/L/hUEhxAqDmAaSnlNDB5/Wq156u/d+xflxYvjW5Wr6nZZJlqvYNS1UXBxJMOpiK5tQyNepy7xzTyaclW3WdmUTBU1Dlx0GZqJSpBkvE2r18Gu5nhmRNQD1pcuaXjtNUP+85CkahqNHUYNwUJK/LsbjoG9x2qce5qgJQaAoHY9knZGYUNieT9ch3euWKQjEXSfLQsrOK0NQJ/O6pbRL8qlhkiRZtXL4Q4rTwPTxg8dLTJW+djeL6G4wf85KpBNhlnf98WmxsOmzWD969rHD+QYLA3jH5Z9DaEKoV0gOtqbFRdklacU6eOBofHx6fX684fjYzftxKGTCViv5qx1o8Ln1qC70BE+vaU9MpTQeB/LhFX+noH73vx+z96tePw6FxibctDFQoLG4JDQz5vXdY4MmRwcHSTm3MGzqrB9UXBkX6FnkKTfCJOLiVptlu8fyPOxLDOw8ccbm62OD/VQasdzVd7QSTS6GqUppxJKWQ62qxXJVLGuXtMIZGM5krETsrZzkjs9kNRoNIQnL+e5EAX5NIB5aakXNdw3MhnXCEyqzd0QdwM0DWP6wsB84uSdCLD8VGXC9fblGsG2YbKasWlVLE4sFdhcVVgmTaT8x6GHufBwxXevWpyaFiytB5StwMkSZ55fLB56PATtVKd57o6+5d6FXXOMj7dxN7Bp57gOxB6Finl3MhYYWFutXnouaeDU74f/tv09JT//gdXc4lYPVWq28QNnaP7aqxtuTRsne4k5JI6vZ0Bl2YFfqDRU/C5OAN2y+LEvZJkqs65N1VKFZ28GdKwo1WxIFAwRBQ4W8iGqFqLN97TOdhv0VNM4AUK6GI7HThEbM95RykIMjpNNUnMNBkfEIwMB7z0TkipIrHbKkEY/XmN8iLBivl0ZUJOHvS4cqvFu9fS/G6/xeERh6XlJOPDKsdG6ixtWHTl47R9jXw2JF8QvDftkUtb5LMOgW9y+ECBTO5IpbdvsCFRn983Nvz2KOlqGBBq2p1BbviEtwl/WWxHVYd7cuXy6Gj3yzErPfbSD/5z5Au/89Wvf+mZk1eSyZ6Lp46knPlSkq2qRczw6bBshgo+CavN25MmSJO45dFshUzs1Rnqa3B2UiDdLI8cbSMUl0rdp9aIDCYFgpgercFlki00PJp2NPSEZLuLErUcdc3HD0Nsd6czEsn0pq6QiCkgoGoHNOzIrzuUKqYuSCUVsh0BiBZnL6qoYZ5TRzxm120+mEqSsgR220VKnXsPCRqux9y6TrUVfRlzlmRiv858KesM9fVeVNMPXHjq9AtXHnjo6b8qrVwa0qz+l6/ebJUVIe4ocsMddIL/NBRzAKIytzV7ewGhaN/QNfUbTz06rhayiX9eWHXGfnxh6cHl5VV1o1ZD0wUrmzaeI+jLSfww4INbHZw56XNpJuC9K1n29wnSaclId5vby7BU0mjaOooIiZkCKxZt9IP80BBI1wRJSyGTCoiZbaptF6H6tNyQasOn0VJJe2rkI65GrlhBEGK7EqctCKRGIqbQWxBIYfPmZYEMdDIJg5NjEqftMrOi8/T9GhduSLZqCl2dKplUkyBIMNgJY3viZLKFQJoH3qw51pQM6i8IOww0zUAzTHn/o18hYem7fcs+NtyRBP9pDA8NwEdTqX6jWXm+a8jI7h0r/+O5t39oXL1xK+jpMY8329x98sg89WoT162zrzuPpjncmDY4NR5t39ttjXwWljYl1aZLraES0xRyqYjQ9ZYRlSVEXiYpE/IZQSBb3Fp2CcIYuYRONtZC03VKlQS5nBHV6SJKTotbKoqIXKXank4yrpJJeTiey+qWSTEjWCqHlBsxDgy0ePeqw9S8hR+2WNqQrDU7ODBaoO2p55XQfl9Yo+rJBx5zs9ns37muW85mo032P/2D3b4zvxrc8QT/WSQTGYAy8CcA89P/harw8Pyq9uTsyvBzJuH+cr1Mf/cCnvTpTEMo67S9yBVrbtWiO++Ti1dp2hYdFgS5gPWyj6LFiCzXo9TfuAbdOQ9VaXJ7yWC0TxC6MUb7PEp1yVo5ZMhT0MSOF4rCQF5giJC1skq9pZK0BNeXPDIJhb3dPsslgcClFUaOU5mMQttP8vu/vQ8p8nR2iht2u/vFtYb+A1WRZ794+tHdvuS7il87gv8s9oyeBjh7aWrr7KECbxQ7/JGZha2wVXsxVGI9ww892P03k1MLJC0du7GKEpYoJgPSiQZIjWzKRVVsQukTeipdGclA0aZcN2gHGroe4AcemWQcTXPxfUmlZmLqNn7oY6iSYgIWNwJUQ0UREl9IlsshjXaADELm1z0qpqC3IOgqpBnZU0TX2lipYVxn6Z/mF93Zxx5+XPHoVLLZ8BbwshA9u31pPxH4tSf4Do6O5QBe3nkuw1UQRub2/OpPWq5JTFe8ge7xvwwC9wldkwgcLly8xOzqBneNKLQ9BSEUIOTGYoWaE6PcClgpBVycVTmxL+DmIpwYb+C6BveMV7g0pWCoNns6Bf3FBuuVPG4YQ+DjugoToxLbTbP/4H3omoZuaMhQeSVjNb+pCE8vdB9GMc+cPXCsXUnlirt9CT+R+A3Bfw6E0g1QAb4D0KovA1x3XK9LQBgEbc5dnGWtXCdhRUKODB3v2MRjX9t8r3qms0t6pyYURvokrumRyyuUqgGn72+zUTHoL9p4WoqefptT98Q4NOLqk7e7v/f9189/LRVXdIHKUA9UnTgTdx3BNEykUJQgVNaA2X1DvzmhfxHcWT2hXcb1qz9GUUTXd88upwcLnry9IRjpksytB6QtQakq+fyDNqWKTirhM79iMdjjMLdicnAkELc3hqsCufaZRx/Z7Y9yx+C/ASqKWervdjbNAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjQ0OjExKzAwOjAwVwPPUAAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODo0NDoxMSswMDowMCZed+wAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 22}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 20004612
    {'hecke_orbit_code': 4503599996469258, 'n': 1, 'trace_an': 2}
  • id: 20004613
    {'hecke_orbit_code': 4503599996469258, 'n': 2, 'trace_an': -2048}
  • id: 20004614
    {'hecke_orbit_code': 4503599996469258, 'n': 3, 'trace_an': -126692}
  • id: 20004615
    {'hecke_orbit_code': 4503599996469258, 'n': 4, 'trace_an': 2097152}
  • id: 20004616
    {'hecke_orbit_code': 4503599996469258, 'n': 5, 'trace_an': -19531250}
  • id: 20004617
    {'hecke_orbit_code': 4503599996469258, 'n': 6, 'trace_an': 129732608}
  • id: 20004618
    {'hecke_orbit_code': 4503599996469258, 'n': 7, 'trace_an': -292598684}
  • id: 20004619
    {'hecke_orbit_code': 4503599996469258, 'n': 8, 'trace_an': -2147483648}
  • id: 20004620
    {'hecke_orbit_code': 4503599996469258, 'n': 9, 'trace_an': 11866737826}
  • id: 20004621
    {'hecke_orbit_code': 4503599996469258, 'n': 10, 'trace_an': 20000000000}
  • id: 20004622
    {'hecke_orbit_code': 4503599996469258, 'n': 11, 'trace_an': -41326831776}
  • id: 20004623
    {'hecke_orbit_code': 4503599996469258, 'n': 12, 'trace_an': -132846190592}
  • id: 20004624
    {'hecke_orbit_code': 4503599996469258, 'n': 13, 'trace_an': 1887051472228}
  • id: 20004625
    {'hecke_orbit_code': 4503599996469258, 'n': 14, 'trace_an': 299621052416}
  • id: 20004626
    {'hecke_orbit_code': 4503599996469258, 'n': 15, 'trace_an': 1237226562500}
  • id: 20004627
    {'hecke_orbit_code': 4503599996469258, 'n': 16, 'trace_an': 2199023255552}
  • id: 20004628
    {'hecke_orbit_code': 4503599996469258, 'n': 17, 'trace_an': -3100413932364}
  • id: 20004629
    {'hecke_orbit_code': 4503599996469258, 'n': 18, 'trace_an': -12151539533824}
  • id: 20004630
    {'hecke_orbit_code': 4503599996469258, 'n': 19, 'trace_an': 7175794652440}
  • id: 20004631
    {'hecke_orbit_code': 4503599996469258, 'n': 20, 'trace_an': -20480000000000}
  • id: 20004632
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