Embedded newform data - 75.18.b.a.49.1

Formats: - HTML - YAML - JSON - 2026-07-22T01:33:11.892631

• 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': 24300, 'analytic_conductor': 137.41656550841975, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [75, 2, [26, 52], [2, 1]], 'cm_discs': [], 'conrey_index': 49, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [41616, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 69021466699, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '75.18.b.a', 'level': 75, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '3.18.a.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+204 i q^{2}+6561 i q^{3}+89456 q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '17.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '75.18.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 301589411797280350, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.058', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.910', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.790', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.094', 'prec': 20}, {'__RealLiteral__': 0, 'data': '8.281', 'prec': 17}, {'__RealLiteral__': 0, 'data': '150.129', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 0, 178912, 0, -2676888, 0, 0, -86093442, 0, 1634744712, 0, 0, 8505396480, 0, 5095367168, 0, 0, -157497303928, 0, 273548560320, 0, 0, -590328756864, 0, 122232621264, 0, 0, 327587570484, 0, 2099721662800, 0, 0, 18268447279824, 0, -7701574947552, 0, 0, 3931216804476, 0, 29320071864180, 0, 0, 146237722956672, 0, -287506179737280, 0, 0, -403897099692786, 0, 587545502955516, 0, 0, 115231250884248, 0, 1875678074941440, 0, 0, 525594582592248, 0, -2717104562965124, 0, 0, -1950013624623104, 0, -2188014251308128, 0, 0, -9246706104197520, 0, -8006541529581936, 0, 0, 8080740229741680, 0, -14089078820183168, 0, 0, -29494615485594160, 0, 3706040377703682, 0, 0, 24470560011985920, 0, 47343856790486112, 0, 0, 77767496161290252, 0, -12490831731064960, 0, 0, 72055490594397696, 0, -84195434433484800, 0, 0, -70370399523689352, 0, -148843129817239908, 0, 0, 26955715502107392, 0, 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• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, -0.5634757162580301], [0.0, -0.5773502691896257], [0.6824951171875, 0.0], [0.0, 0.0], [-0.3253228564633908, 0.0], [0.0, 1.3667876938779389], [0.0, -0.9480451412578648], [-0.3333333333333333, 0.0], [0.0, 0.0], [1.149693620943349, 0.0], [0.0, -0.3940387396288083], [0.0, 0.10186112479982773], [0.7701516747805327, 0.0], [0.0, 0.0], [0.14829470217227936, 0.0], [0.0, 1.5567742568972676], [0.0, 0.18782523875267668], [-1.0637449714188343, 0.0], [0.0, 0.0], [0.7891152429854958, 0.0], [0.0, -0.6478244365383418], [0.0, -1.8762919476134923], [-0.547354117509145, 0.0], [0.0, 0.0], [0.057396270255431515, 0.0], [0.0, 0.19245008972987526], [0.0, 0.9328259273036568], [0.06080152011841383, 0.0], [0.0, 0.0], [0.22108401124184865, 0.0], [0.0, -1.031605604781661], [0.0, -0.6637759215372382], [0.8772044894572503, 0.0], [0.0, 0.0], [-0.22749837239583334, 0.0], [0.0, 0.9269927299156122], [0.0, 0.5993944596861054], [0.0588095478231386, 0.0], [0.0, 0.0], [0.2867294176514998, 0.0], [0.0, -0.4446472767513817], [0.0, 1.5139850915304158], [0.7846602825554523, 0.0], [0.0, 0.0], [-1.0572449490906868, 0.0], [0.0, 1.0818701141552292], [0.0, -0.08561798621856087], [-0.8681086001361744, 0.0], [0.0, 0.0], [0.898804036287117, 0.0], [0.0, 0.06951972030710898], [0.0, 0.33725538894025986], [0.10844095215446362, 0.0], [0.0, 0.0], [1.2957764323120218, 0.0], [0.0, 0.6141534455977747], [0.0, -0.03426018009830026], [0.23301226721635732, 0.0], [0.0, 0.0], [-0.9073456438733339, 0.0], [0.0, -0.12457547158769904], [0.0, -0.45559589795931293], [-0.43299000487786543, 0.0], [0.0, 0.0], [-0.37402161282302926, 0.0], [0.0, -0.13384158441747304], [0.0, 1.0624908288955839], [-1.083277661032977, 0.0], [0.0, 0.0], [-0.7357309076223171, 0.0], [0.0, 0.3160150470859549], [0.0, 0.134220480326061], [0.5223378924551861, 0.0], [0.0, 0.0], [-0.7260007489261111, 0.0], [0.0, 1.5713870928353373], [0.0, -0.0331377520824539], [-1.093660349495668, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, -0.16156506398342668], [0.0, 1.2877090141989505], [0.5385673002358285, 0.0], [0.0, 0.0], [0.8530938338540802, 0.0], [0.0, -0.035103774007504675], [0.0, -1.0899614512705034], [1.0470153873445847, 0.0], [0.0, 0.0], [-0.13922253186096947, 0.0], [0.0, -1.2805600926644332], [0.0, -0.12764291340400358], [0.6096075374717744, 0.0], [0.0, 0.0], [-0.5955977736182188, 0.0], [0.0, 0.32872743608780786], [0.0, 0.48915811525148667], [-0.38323120698111635, 0.0], [0.0, 0.0]], 'angles': [-0.45454457519893343, None, None, 0.11974839684655741, -0.15253081959584833, 0.008109359181552964, 0.14198094081618567, -0.3392557184949427, -0.3062708551496704, -0.2451608231679963, -0.2323706645798503, 0.07670264639995247, -0.22710390403341693, 0.13666605533001833, 0.09096476372802037, 0.02696677749452059, -0.23141526623338624, -0.32494326034582866, -0.48934125933569256, -0.30995565106990913, 0.010688960178217943, -0.34208283419851837, 0.11133290162048451, -0.16231156625002074, 0.026278537667110094, -0.3055402775053694, 0.1484709497585843, 0.10814585401902015, -0.1394167019303948, -0.4809424752000917, 0.02210565259943435, -0.1639362501122933, 0.10001568915356142, -0.30192497574512966, -0.21153442713106826, -0.270780276082874, -0.42436013624019625, -0.4424755088939658, 0.029600693298779058, -0.45823438618467843, -0.0812537232046242, -0.1318565164578382, -0.2696791293651311, 0.03987165240826701, 0.06770434430748233, -0.20184036428415966, -0.07032790384745562, -0.4350165164273808, -0.49303240584037444, -0.32100184927924, 0.021265781606037832, -0.2272674619529149, -0.37893807346573743, -0.18196644492594935, -0.36109144262807447, 0.027221981840670723, -0.2289522210345981, -0.17530475405600188, -0.43972644918928455, -0.38865073510380344, -0.44290655717388044, 0.14677419770624656, -0.4998102288578273, -0.4298544306309153, 0.09494834593750835, -0.42026037587036547, -0.18654265042233562, 0.09631942279025343, 0.032738813880110844, -0.2822509381962563, 0.18638856024495115, -0.24468820991730486, 0.08424730596333697, -0.4095608445581286, -0.21929813065595985, 0.06025142492809317, -0.16011098291220133, 0.09950568258030822, -0.19775403678274825, -0.2581697289664878, -0.3330057609796824, -0.368154955402448, -0.3770541900886897, 0.039141207803330906, -0.16125171993059367, -0.4615808286679769, -0.26122161951280665, -0.34669975802363534, -0.3171254219314714, -0.461454834834837, 0.016611064833101968, -0.34390147474285176, -0.4753897096994376, -0.23543219907060345, -0.23735146793450806, 0.05455751830407977, -0.17529831253085593, -0.3763449364425197, -0.30732899999865043, -0.2424549520752918], 'char_orbit_index': 2, 'conrey_index': 49, 'dual_conrey_index': 49, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 69021466699, 'label': '75.18.b.a.49.1', 'level': 75, 'weight': 18}
• mf_newspaces •

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

  
  {'Nk2': 24300, 'analytic_conductor': 137.41656550841975, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [75, 2, [26, 52], [2, 1]], 'conrey_index': 49, 'cusp_dim': 164, 'dim': 52, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 69021466699, 'hecke_orbit_dims': [2, 4, 4, 6, 6, 8, 10, 12], 'label': '75.18.b', 'level': 75, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 176, 'mf_new_dim': 52, 'num_forms': 8, 'prim_orbit_index': 2, 'relative_dim': 52, 'sturm_bound': 180, 'trace_bound': 4, 'trace_display': [0, 0, 0, 0], 'traces': [52, 0, 0, -3648556, 0, 1600884, 0, 0, -2238429492, 0, -1334042212, 0, 0, -52886269524, 0, 185795789620, 0, 0, 63473515666, 0, 216718608618, 0, 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• mf_twists_cc •

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

  
  
  • id: 754457
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 69021466699, 'source_is_minimal': False, 'source_label': '75.18.b.a.49.1', 'source_level': 75, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 69021466699, 'target_is_minimal': False, 'target_label': '75.18.b.a.49.1', 'target_level': 75, 'twist_class_label': '3.18.a.a.1.1', 'twist_class_level': 3, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 18}
  • id: 754458
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 69021466699, 'source_is_minimal': False, 'source_label': '75.18.b.a.49.1', 'source_level': 75, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 301989891, 'target_is_minimal': True, 'target_label': '3.18.a.a.1.1', 'target_level': 3, 'twist_class_label': '3.18.a.a.1.1', 'twist_class_level': 3, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 18}
  • id: 754459
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 69021466699, 'source_is_minimal': False, 'source_label': '75.18.b.a.49.1', 'source_level': 75, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 301989963, 'target_is_minimal': False, 'target_label': '75.18.a.a.1.1', 'target_level': 75, 'twist_class_label': '3.18.a.a.1.1', 'twist_class_level': 3, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 18}
  • id: 754460
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 69021466699, 'source_is_minimal': False, 'source_label': '75.18.b.a.49.1', 'source_level': 75, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 69021466699, 'target_is_minimal': False, 'target_label': '75.18.b.a.49.2', 'target_level': 75, 'twist_class_label': '3.18.a.a.1.1', 'twist_class_level': 3, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 18}
  • id: 754461
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 69021466699, 'source_is_minimal': False, 'source_label': '75.18.b.a.49.1', 'source_level': 75, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 301989897, 'target_is_minimal': False, 'target_label': '9.18.a.a.1.1', 'target_level': 9, 'twist_class_label': '3.18.a.a.1.1', 'twist_class_level': 3, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 18}
  • id: 754462
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 69021466699, 'source_is_minimal': False, 'source_label': '75.18.b.a.49.1', 'source_level': 75, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398811471920, 'target_is_minimal': False, 'target_label': '48.18.a.e.1.1', 'target_level': 48, 'twist_class_label': '3.18.a.a.1.1', 'twist_class_level': 3, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 18}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 238000
    {'charpoly_factorization': [[[41616, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 2}
  • id: 238001
    {'charpoly_factorization': [[[43046721, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 3}
  • id: 238002
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 5}
  • id: 238003
    {'charpoly_factorization': [[[434579063833600, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 7}
  • id: 238004
    {'charpoly_factorization': [[[-817372356, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 11}
  • id: 238005
    {'charpoly_factorization': [[[89754023098498564, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 13}
  • id: 238006
    {'charpoly_factorization': [[[2004854899652230542084, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 17}
  • id: 238007
    {'charpoly_factorization': [[[78748651964, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 19}
  • id: 238008
    {'charpoly_factorization': [[[496562640493591123905600, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 23}
  • id: 238009
    {'charpoly_factorization': [[[-163793785242, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 29}
  • id: 238010
    {'charpoly_factorization': [[[-1049860831400, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 31}
  • id: 238011
    {'charpoly_factorization': [[[392267172845573933508984100, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 37}
  • id: 238012
    {'charpoly_factorization': [[[-14660035932090, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 41}
  • id: 238013
    {'charpoly_factorization': [[[13465018116818398800485614096, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 43}
  • id: 238014
    {'charpoly_factorization': [[[31189889254129029902025068544, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 47}
  • id: 238015
    {'charpoly_factorization': [[[23367248603548973531677152900, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 53}
  • id: 238016
    {'charpoly_factorization': [[[-262797291296124, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 59}
  • id: 238017
    {'charpoly_factorization': [[[1358552281482562, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 61}
  • id: 238018
    {'charpoly_factorization': [[[197903640946946453332664245264, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 67}
  • id: 238019
    {'charpoly_factorization': [[[4003270764790968, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 71}
  • id: 238020
    {'charpoly_factorization': [[[855315218381110508749671436900, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 73}
  • id: 238021
    {'charpoly_factorization': [[[14747307742797080, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 79}
  • id: 238022
    {'charpoly_factorization': [[[698172987904891529818180570669584, 0, 1], 1]], 'hecke_orbit_code': 69021466699, 'p': 83}
  • id: 238023
    {'charpoly_factorization': [[[-38883748080645126, 1], 2]], 'hecke_orbit_code': 69021466699, 'p': 89}
  • id: 238024
    {'charpoly_factorization': [[[643859914320898536376014075056644, 0, 1], 1]], 'hecke_orbit_code': 69021466699, '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': 2, 'hecke_orbit': 1, 'label': '75.18.b.a', 'level': 75, 'portrait': 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uXOg4v83AeX8eQwV2bW8ewxy027O5hkiK+8IPArbe7bLzl2XoN2ue3ApHnk/i0f37K++tOtTtIc3fKh7zYk/rMef+4B/lu/8c8olapy3/47f+1rj3/90JGzK4d3T9X12WnJXQcks3MVTsyEvP3uGGWGePqoxXUygo7lwpzg0oplcrzBP/nRZe7aU+ba/CgzCxVmljTzy5a5pZTrixkLrZTh0ZA3HGpzzz5wZQlPecyv+MwuaeZWBJ0I0tTgu4aKnzEylGKAK3MpzTZsnXKolCKsFSBc2oFhy7qI5boGm1ORehuiFCyWlUbMxkmHVqAQyiJMRM132LI+pN4RXJnRZEYzVpNUfYHnQJoKOpFkbkUyu2yZX03xvBCclMMH2tx3k2CiVmJ5tca1eY+ZJZhfSplfSZlegQvLljsOLPFPfnSV9cM1ri+McfF6mXaQ4jiCp49IMt3k7XfD+ctDTC83uWOf4fhFxSP36fTK7MSz997/XrNu/a5ns8z+fddR/Hnujv655eBPfuMz/PiP/6i7Z9M159K16FePHjvx46+fX92+eSyUQ2WPYxcdPD/grn2SpaUy15cC7r8lQosq7Y7EWnCVwZMws1zixfOSQztX2Lc5pOyDoyWuo3BdTaUkKTuSTtvhzGWfx151ubIQ0UwTzlyLmBpb4V1vWOXQrhZ37GtweSllqSMoeyEXZyyNZoWDOyT1MOPUZUW1rDlxBXZvsIRxRpi5aJ0wUoXT1zyUznBkinYgiCR37esQdCSHdmU0g4wrM1W2r1NUyjH1yDI53GG13eTjj8ORSxmvXwrZumGZm/c2GRmNecfhFj/wRsvOdVWyZJhL00NcuO5wbc5wfSHh+kLGhQXB1XrCLXsW+Sc/2mLd8DDX5kaZXSrRbDu0AodTl+DcTIu33Z3Rbg7xzRMp+3e22L2hxPnrVZZWQzlRrW87dvLa9mYruHvDhm2ljetHvv7RT32RT37897/bkPm2jz+XEfxXf+szfOKpbervf+jkPxbJiZ85c36m9vyZkndwe8zeTYrp+QqvnjG8frnJ+x7qsH/TCMcvumxZlxEnHrNLkpVGRr2ZstJKWWrAtVWBLoXce9MKH3pjzPbJCvV2jYWVEosrLksNwUrDsNwwrLYMzcDQjCydMGWslrBlygACz7FcX3AQ0mPrpGL7BsuGyQ7zqxFHz1W5fbelXFrl+PlRqpWYOHYYGzEEIezfEvIHjw+zd3NKFFnGhyRJFlD1PU5cDik5FW7dk/L6xZj5ZZeNYx7b18OWdTFKJVxfAtexCGHZOpUyUpW0Ao92x6HZcVhpKlbqsNwwrDQylhoZcw1YDjO2bGzzoQeXuHefxndqzC7VWFr1WaprVpqClUbG/EpCkhk2T2pOXM7Yt3OJ971RcfT0JK+dsUyvhOzaFLFvCxy5UqE6siu7dc+Gf/ajPyj/6anXsuzA7R/+bkPnWx5/rgB+7MRJhmul0nNHrm05derUB2vupf+9Wb9OkrgEUYm5eptdW9rcu7/MhatDPPEqDA0v8YGHI6Qdo97yCGNFvalYaUKjZai3UlZbKStNy3xDMNO2INq89/4G77jLsGO9TxyXWW341NsujZZitS1odQRhZIlTS5aBkhbPgZJnGa5ZJkcTtBNyYTbm2HkPk1Z45O4Y7dR55dQQ29bDl19Muf+gx0IjwNeKNEsYHYE0cdBOyvJymTfc1uTLz1XZvh5ePhfhUOZtdxlSEXDsQsal6z5aukyNaEYqgpIncF2BEpAaiBNLGEOrY6m3Da2Ood4xLLctQZaxdVOHd9zT4L33xWCqLNeHWFgpsdxwWGlqVhtQb2XUWwmNtiFKLCttgXU6fOhNKcP+KE+8Ijk7F3L45jq71/ssLFUI4w71wLJz23ruu3nDP9yx68AnMrXzqs06waatB7/bUOo9/twA/OSpc1SqG9z60ut/9ciJM7/2+rFXhLFtGSSaN9+WEYclHntJ8drFgAfuaPHuw5qr00N8+umM/bvm+JG3SoJgiKW6T6PtsNrS1FuCRsvSaGfUWymNtmG1bVloCWYbhpHhDm+5o8XhfSlbpxS1kkOz5eM5ElDEqcQYgbHQCQFhGKmGnJu2GBvztZcrRJ0Suza63HuoQ2LqPPXqMLfudjg316axWuOeQx2+/orH1Kjl1BXL//CeJqcue0yNSh57VXHvfsVKp8nFa6PcuifmqWMBaVTm8AGXnZtDgrTNo68oyAQXrmtqZY0W0AkkxgoyY0lSQBq0a2i0LZVqwub1Efft7/CW21PGKj7zK0Ms10usNl1WW5rVpqDRhkYrpdFOabQzmh3LYktSTzJ++O0rHNo0xGcer3B5KeAd9zd58y2aI6fG+PrLhk6a8NBtMVFkGaqVzP79d9rJ9Qd/5s5bDv7O9MxsvGnrzu82pIA/J616a1MZR8G7vvboZ3dlWfTLs5eeUTvXJaSZy9PHHJ54PeBd9yS84eZRBGVeeF0iZJ233znPrfsEiWkxXE0ZrRqkrOG5Pq7j4rka31X4vqbsK6rllFo5Y6xq2DAkWGxX+eI3q3z2yYibdwesG81od0Lefk/EtnWGNJNoaYlTePqEz9UFn/UjhuMXfDCj7NukuO1Wg+e3eOZkh8WlIW7aViYVq8wuONy5Gy7PJYxXfCZGwZvTdEKP+RWNox22bWhw8tIot+33uDTT5OrMMO+8J2OhscyLJ4c5cbnCHXtL/OUHQ5Btjl4yTI62mV9MeOqoQ5gotARtLNvWx7zlnphWW7FhxHDbbojjCiuNMsdnPepth2ZH0WhLmm1odjKa7YxWJ6PZMdQ7lpVAcm1V4OoAJZu8dlFxvZ7wjvsiHthf4sipYZ553TLfDnn7vQFTwxWePS5pz6TyxKUXefBe9W8vXDhXvv/Bd59fWs3+eHxEme82tr7rAA/DmHY7/tGXX335Xx45fnZ0uTHHuiGHE5cUUeIxWlI8+1qZIGrwA/evcN8toyjp89yrghMXW6yGMVlapVJq8sNvWWH7xoS55RqeW6LkuZQ9h0pJ0ypJqoHDUEXTCTPaQcZUZAgiSyv0WFn0uX7NEqeG6bkUz7OAwFUWLQWdQCFwSDuaW7YJdm6wbNnYIcpafOUlxenzI7z1do/b9q/ye1+xuKLMto0dXn9OsXFYMV7r4KsSceKw0IKKr9k0JThyOua2PSXeeOsSv/vFANep8ua7LY7X4Rsvxnz5hQonL5XYsaHMtvUZEyMx28cTDm7LUMqglQUsZc9jYtgjThxaHZfj5xzaoaYTKNqhpB1AO7S0O/l3bwUZ7cDSDCz1ABY7ivlVS6na4EcfmecttwdEccY9+2uMlEY4enaIF04YrtU7/MCb69y1s8zLJyoc2tEhyODarOLShW86E2NT//LaxbGV/Qfu/59brfB3q1X/v1+Azy+FNNv2r105//gvPvb4V0dtFLK0KjmwNUKKMqtNF2MEOyZdnj1SxdgWH35oCWtHiRPNkYs1ZpqClcDy+sVhLswt8J772tx3IGS4WmOlUabS9KkFLu2OplXc7CDUdCJNGFnC2BAnliSxpFn+jFMXa0AqgaMFvisYrgpGqrBu3LBpqsP4SIOvvgJPv+YgzRBvvd3hln0tnjmZEIc17r1F0AgCFpYrHN5jGB/uUNIeYapYbCYoI7hlj6ZcjXj1jM8Dtw1xz80tXj2jwA5x+wGXn3jnCl8/EvPYSxVOXfXZMqFYN1pipFpmqAolDxxtURKMhVOXBFkmSFJBnEKUkH/HKCOIDGFk6ISGTmRoB9CMYLEtWWhBZEIevnWZd93X5C+/2ZClwzTaZRb0EEfOVnnpVMbl5TYfeGuDBw64nLowwlJDglWsdASL7YQD2wwXL88RRp8fXWny/3v7Wx/U1nZ+U4jyf38Aj8M6jpv9xOe+9PQvrk5/ZXJuLsDxJUoqvvyi4EMPr3L3UIWzV6so6SAlvH5astwMuGlTnWq5yvphi68tIyXBUqfMxx7fzDdea3L/wTo//HCdg9vbjA2XWa6XaQUencApgK3yZyyIEkmSCtIUMmOxNv98Slq0Bt+FcskwWk3YONkhpc256YSPP+Vz8VqFYa/EnQc0hw81efFsg689X+Pu3T5b1nf4g8cFSnjUqgn1doSxoARM1Do0Wy4mLfGu+xf42JfL7Jz3ecfdHeJkmaeOjZFkPncdmOQddzbZvbnBN17t8Pq1MkcvuWwalYzWBGVP4Dr5IpQChLAYC8ZYkrRYrIklSvKFHMYQxNAKBauRYKUFQofcurfOD7+lzv0HMsZqPvVmhXqrTKPtsdr0qHcE27eu8sj9EdunKhw/N8yZK4KrsxFnZ2B0PORDDye0mmUmJ1JsGvOlrz46uWnC/OK6zQ/a2bn6b61fN/xdwdl/8yTzy1/6CKNDE6RZ8mONZvP/+uZzJ8bXj12k7NV45pjP7LJlbjll8+Y2f+O9TSbKNc5cGePcVcXF6ZSriwm+zqj6iiQVeTQKoRUJVkPJcgBBkrB1vM29N9f54Td3uHWnIMtKpKlHJ/RpBw5BpIkTRZJK0kySGYGxAoFFCovnGsp+iufGuE7E9HLEi2ck56+7XLpeQhmPnetd9m9X3L6vifIW+fXPVglbo7ztHsnNe6f5x79d4+DGKncdDPnj5xtEnXF+9B0pYTbPHz81zt37quzdNcfP/5bPbVtrPHLY0EkW+Q+f17jUuH23y77tgl2bOyBbXJgNOT8NL50uc32+QlkLPC2peBbfASnzG2ptvljTDOIU4kzQjqAZCpoJxCbF2JA7djf54bc0uf9gxvpRjzAsU2/7tDoe7dCl3XFoh4o4hVo5xNWCq3M+F67DhemEU9MpIyNNfuY9ETumhphZdJldkjxzHBw34N6b1jE0tn9Ju9W/rZT7e63mHH/lx37iLy7Av/jHn+L6/Ctsmjr4l8+ev/rvXjx+aXjvJsFKQ7JxfZut42VOXChxZTblymJKMw15291N3nOvYn5pnDNXSswsGhotQ5oZMmOIYksQW4LIEsTQjgWtSLIaQMdkjA2FTI10+OCDDfZtTgkDzU3bLVMjiihxyDJFZiS2C25pcHTGlXnLpTlBPTB8/pky00tlbOww4is2jGm2rtPs2Ag37Wxh5BK/+aUyywvD3L3P4y33NHjyRJPHnx/loVtK3LSnwe98NUXGw/zYO1ISucxHvjTEzVurPHRng6++1uLZV8d56+0ud98UMdtY4ne+7CHTCge2Omzf4LB9Q8aGiQ5DtRZxFjCzkvD5ZzyWOx5XZh2m51wcJZBSIhAYa8kMJMaSpYaRsYRD2ztEUcK+zRHvfzBickgxWnVJEp9mx6cTuHQih06oCUJFp9jlskyQZoJ6yzK7lHL2WspsM+KdD6zy9jsEQTDG1dkyl2ctxy6nrF8fsGPcY2k1Yt+2mFTsrleHN/+Na5ef+8Nde97KBz/4gf9mmPtvRlH+0+9/ki+9eKf4vruCD5w+e+03lhbPl7dPKc7MSHZMwTPHfO77wTmGKusYqpSpliXnr0u+8JSL7y/y0MEFdm6aQsgSJV8RhIYozogcg+sYfMdSSizl2DLkZ4yUBJ1Y0oorXLpe4f/8w1EwKSJNuf1Qh+3rYtIUjDVYmzdxpBBIJdCOy5mrLqfO+1R8TdWVjJcFE2OSyVHNhgnF1vUZe7fWycQy/+YzNa5cHebuPQ77tmUEaYvnj3kMlxzGhizD1ZhyKadCxkgaoWKlbVluZDTaJd5wU52XT3U4fVUxXPO568AwP/muZX71s/Dq+QrtwFJvaeZXaqwbLzM5ErJ1LOT/+4EOtXKD1y/BmWsSx7EoZRHCADb/j4U0hW3rMu49mJIlDknqYW2ZMHaYW3IJonxHC2PVo29BLAgjkdO4WNAJDavNlCtzCStxwFvubvHeez1mF0c4d9Xj0rTh5JWE1bjFh98Cxy+47N6ScWGmhLHXhndr9zc2bnsw/cAH7v3kk4/9kX3wLT/wFwfgf/jRT+H4U+rw7qfeuzB/+feq6qx/NVGsHzfsxOXlU5bZFfjVz/r8je9f4Pb9E1RKFWolydic5BvPTvHS0RY/8c6Y0aqHtQpXK8JYEsUGL86IEkspMUSJIY4ttRSixBClEKeCMJFEmUeS+Zw+X+HoacisJYd2zo0dCa7KNR9VD25aD7USDFUkI1XF2LBmchS2rItYP1EnsSv8m88MceHiELftUOzYJNm5aZUnTqTMLw9x+3bJSM3guwGe9LBKkGYSYS1pFrPa9plfdrhtX4lb9rR45lWfqRFB2a9y2x7D33zvMr/yWcOJ6Sr1tqHeUiyuasaHK4zUSozUhqiVEyYqCVtvi/GcFEenKJUhRZ5MWPJFlSSKhUVNkiqSVBEniigpXmNJlEiiWBbXVOQJaiyI4lxuEIR5L8GIlL/7gx2q3gjHz1e4Miu5Mpty9npKJDr8f95bZ+eGYcpuxgsnazSiFpvHEx57/nz5zkP83h9/7gmzbcuGzzz21U9lb3nk/d/7AD/+8kfZMCHUiycuv//M2ZnfrYrTvpAlGi1DMzTcuTuj1XawqeXF14fJshX+1vvnufPACMPVIUaGHNYva8Cj0bJoZamWDFrmCVbkKuIkB3qSWOI0y6si6cAzgzSzZJkhM+R829ADtxCgJGgJjgOeFvieoOxJKmXFUFkyMiSYHE3Zuq5DtVLnM8/GPHVslPpSjUNbFFvXO+zeHJKJOl99qUzF0UyMKKrlkGMXyCfuN1s6keLm3QmHdlrmZjMWV12CsMwjd7b45usB56YVlZLEc2sc3GH4pz+2zJMnAv74yXGWm5atkxmrDc1wTTFUcaiWHSoli+8ZPNfg6QytcqolZX4PrCVvWBlBaiRpJkhTQZJK4lSQJJIoySsvcSKIE0scQ5RkxIkhig1hbMgyy5CvOXNxPdYqFlYM1+Zjzs4YhNvhb31wmbv3VDh/rcapSy7XlkJu35/hS81QWXHq3Bl//Vj2kYVV81dmV0c+9a//3Sey/+lvfPB7G+BHzmp54kL44bK++O8XFub8haxKqRSwcaLGakNzeVpQKSs2TUBmU46cGuHXPrfKj3/fEnu3RUyMDDG/4pNlAq1ASYOUFlcLPFcSJyK/OYkiSSFOZF5BSPtlvzQzZFleXchsUSkpqiVCCKQEJQVai97v9T1JpSSolS3DVcPUaMTESIvU1vnkNyW/8+UxJn2fQ1sEW9Y7bNtg2Lp+lc88b1lZ8dm3TjFSg2o5Yf6yZGHVw90OUSKYGJIMD8O5S5bVpmFuyWf3Np833d7ii0/7jFXBc12UHObgTsFPvWMBRy7whWdGODntM9VMmBxOGaooqiVFuSQpeRrPBc8BrfNAIAV0J86sBUO+sDNDwaspgA5Jlje0kiTLg0JiiFNLnJji5zxISCl4/VxGZlLmV2Ghk1AdavMT72hz564qF6dHuTrn0Qxg1zpJGgxzvR2xYTKg7FY4f/6S38b+xhtuRdcqzkfJ48z3JsB/6d99jisr5sfc+Py/aK5eqq0f1/jK5bkTQ+zaEvHwnTA9X6IdCuyEg1J59DxxdoxfmGvznvvrvOfeDpMjw6y2PJJUFXVeWUQfW0QckUeiIiqlKSQZZFleSTAmT7iMsdhuHZA8cgshUEqglcDROUB8D8q+oVpKGa6mTAwHjI/UefZ0zEe+VuLMpWG2DTnsXAeb1rlsmoK9W5p00iYvnqpRUg4TI4rhKgxXI0aGUlxXI0S+uILIZaWZUO9YGu2UhVWXLeuq3LNvga+91OHMdI2yl+AoFyGG2LlR8SNvXuKOvQt85GtVXjw+zHJbM1lLGS6nlH1JyVd4jsBzJI4j0EqiFEX5MEe5Bay1+e5VAD3NTLG7FaXFNE/g49SSJBQ7YH8nzAwkacpSR9KIY959/yrvuS9jpDTMmSvDXF9wmF+GVjslCCXTyxm370/ZMeXz7HGN5yZofbk2Ny/+zeFHtrkLlz/6O5PbfvB7D+Dnrq2ilPxrH//UZ3+x5pwYi50yR87B/TfX+f4HXDaNZ4xUY8ZqGYurHstNTaXkUClJauWMc9M1fu+LDkrN8aE3zlEtD9PseMSJJkoUSZJrRZJEEqf5tpsDv4hMmSwiFRgjMZY+uPMmZRG5Qau8YeI6Ft81lPyUqp8yUotYP95kvtHh1z7v8NWXR1lZrbBrQrBlUrBx0mXTpGD7hhDt1vnYU5qL1yrsmZKMVCVDlQwpI6YXLZ6WSAHWCuJEs3WyyUtkNDuK1aZlfqXEnk0+73uwwae+4XJ53sPRCUI4GFshSSW3b19l6w82+eqrHf7gq6O8crnCxhHBeCWj4mf4rsBzBK4jcXS+40khkFL0ymWWfJEZm9tsZFkO+C7I0ywHcg72gcieCaIUolSwEkiCJOQDb1rhJx6RRNEkpy5VmF6ULK5kLDdSVpqGxSYsdQTz7TInLkeMDjW4e4/m9bMOz7x2YezwneO/fOvdP6Csnf/NP6uZzz8TgC8t13Fd58e/8JWnfvG5l45OvutwzBtvM7TaUzzxsqBUCdgwlfDGW1rsWrfC1FiVxdUqs9USI1XNcFUxWks5dqnMr35iCmWv8aE3reLoCkHkEiWaJM3r2GmqSDJJmkqSTJCmkiwTZEb0ubYR9FiJzSO3FKBUXnVwVF6J8dyMkpdSLUWMD7cJkoBvHLN8/IkhXjw+zIjrcHCjZf2oZGrMZcOEZNNUzI6Nq7x+OeDz35xgSGkmhgS1iqBWTmh0Mr78vE/VtQiRAyuINO+6N+JLLxgaHUujbVhY1WyarPKe+9q8eLrFqXMuFS9FSZGD3JQJ45zr/8ibGuxZv8DHnmzy3Mlhrq6WWFcTDPmWsmvwtcF1QCuBkvlCziM5dCvDpqBqxvR3uLQAeh4gclAnWdEVzQRBKqjHgiyL+ctvnudvvU9wbWYTr58vM7dkWFyNWW5kzKwK5pqWTETs3Bhw/yHDlnFF1atw5lKZJ48HHNiaUF94dfLcyS2/uGPPm0wUNH7bKw39+QZ4vbHMUCUEaX/08cef/ucXTj82tmuqxRefHWF6pclDd9RRcoSj5x1OXUx4/NUSvh/yzsNN3npbg5tHayys1Fhc9VlqaLasz3j2TMzZaYPRHUZLGW7gEScuSapJkrwqkGaKNCsaNlkf4MYWkdv0y/1C2CKpzHUcWhtcJ8NzE0peTLUUkBHw9Vclf/j4MMcvDSESj20jlvXDlvFhxcSoy7pxyYaJhC3rmlxbbPEf/rhCGpXYtEkwXNXUKlArJwgnphlUGK5ahBBYC0kqGfUUqUlpJS6tTsZqUzG9WOLAjio//f11fvmjHlcWK2iVFAtDk6Y+YSxZN+Zx+64mh3a0OXFlmo8/UeJrrwwz0yhR8RRVFyqOxdUWR4GWeTtfiLWNDwNYky+6zAgyC2kmchqSCeIsbxIFmSDIIEgtcRQz6TXYt6XFkfNjPHfEZWU1YbmZstCA2YbFL7f5vgeavOuemJJTQssKMwtVjp7VPHU85OE729y12+XxFwyl449PPnC/8883bb87feno7H/av9OjWv3OebJ8RwHebHcIkvK7F669+Kuzl79WazVb7NoEo1Wf185ohv0Wd+6PyEyJWkkwu6yYX/T4d5+u8pWX2nzfPQ0evrXJtnKZPVtdKqWI+25f4v/4iOKp1yR372sxXgupVRzi2CVOHdK0D/KsC3AjMTaf6rFW9NrveeQ2KGXRyqB1iuemOCqmGSQsNhP+9Wd8Li2M8OqpYaxxGSsJJsct40OCsZpibNhhakyybixl40SHseFVvvqa4ZWTwxzaJBipSqplSa1sqJRihBPheRqt8ve3FrJMEkSaIExIjaAVGFpty0rTYW65xuG9be45UOdjj/mUVhRaJjkgrSbNXOJEEkQO48M+d+xsc8euNi+9cYYri5KPfG2YhXqZ68serpJUHIHbpWEyTzx7gbxLVcgjeWoFqYHECKIMwhRiYyFLIU2QKmTTaIf79rfYtzXmf/sdybWZhJJnkW4GIuT77m/wjrtS9mz0aHUmWFipML3ocWUGXjoTs39nwm3ba7xy0mG5lbIha/K7H/v62HvfLX71bW+6dbXVan3+O4nJ7xjAP/34WTat36T+1W/+3q7Tp87XZLLAlg2SXVtD9oqEdWMVhKhQ8izbN1g812WkmjLVyFioCxbmh/l3n67ya58NuXt/ricRpHz1pQpff7XC0yeh5sf8lbc32TyWsnVDwOGbWmiRj4gJkdOVvCuZa6WtHYjcWIS0KJHXzC0pyJQTlyQvn9Z88cUqJ65WidMyVa2YKFlGK5aRss3r4DXN6JBmbFiwbjRlw0TA+olVnjoe8R+/OMn6Yc1EDWoVRa0iqJZTSl7Es2cVYaxxKjmorBXEqcTXilv3BLxwbDgXPgUZ9abDUt1jfmmEn37HPNeXlnnhyASOBESCAdJUEycOUSxpB5qRqs9wrcI9ezq88VCHH3xokdPXDF960efF0yXOXqyQCk0UKTqJQgmJEOKGxLPoCVhDaizWGByRMeTG+CTcc1ub7etDNo0n/MgjIRVfUPIg+PACX34pwhrFGw5F3L0XpK3S7oxx4VqJhVWXxVXJ/LJhfjkhiTPCVplHn4cLcwlCJwxVM3ZsmCFd+ePaay+d2nXnvT+jrH0lE+KOPz8Av3D+FDt2TrlPPPviX6245l9sG18kiWucumg5fhGGh0IeurXDlgmNqzRCWjzXp1LSDFUVQ9WM8aGMlaZlqVXh+aMVHn0+z+RTBNYTBAY6rYx//rFRbJowNRFyYEvI2FDK+98UsGUyJklEwbclDERuCv4ppUFIwR89WeL1CxWE1lyZKTM9X8YvKYY8wXDFUvMNNR+qJcFQWVGrKkaqmrFhGB9OmRoL2TjZJLN1/uibNYJ2hd2bLLWyolqWVEuGqp/iODFffcEn6kicSZAFmJJUUikpHrkr4OnXDO1I0g4ymh1NvaWZWy6zf3uV99/f5NUTZa6sVFHSAEnBlx2STBEleWOmHWoabZdqqUylFLF/U8jde0OuLTS4PFtHOxlHL2o+9UQZoVQObiHX3kRrAAPWksQZW6dSPvimgPFaxt6tlqkxyFKHOKmSZZpWW/DQLfDQLSlxImm0hllulFmu+yzVXZabipW6ZbmRslxPmVm2LHUEq2HIhnUx73lTyHDFh6TM2WuCb7zY4B1V+S8unHmmE5i7fufE8dPxTQf/6+0pviMAP3f+CpcuL+zptC792vylp2QjsNyy27B5coijZ0d4/VzKM693ePiuOvffFLNrg8tobYjphQoLVZeRmsNqU7HSyBhrpkw0DasdQTOSBIkgySA2gsgoEuOSGlhs13jidYMl43MvJgiR5TfJ5jcJimJJXgtECIUQEqkUaaKRRuNoSdWD7ROWimMoe4ayB2VPUClJqiVFrawZqkpGajA2lDIxErFhokXGKv/60z7PHJtk5xiMlIvoXZZUSynlUkylHFAqlfGURMmCg5PTgSRxCANBEGW0IkU7NLQCk4/MVVyuzw/xhgMRf/MD8/zLT2mu1j2EMFibYDJLkjrEiSSMHNqBohpoKr5LueRT9sr4XkK1FHP77hjXSbhzd8oPP9xBq7RoAhmEsGtJeUHpjJEIIfEcBbiEkWZ5RZMZhckkqVFkWbcjqmkFLvWmx1LDYbmuWGlYVlspq42UxYbh2jLEImX7phb3Hwx5222KlfoYx86VOHohIbIdbtoh+eJjr8nDjeFfO7DHfrPdCY5/J7D5Xw3wp57+COPjQenYsbPvvXLhnFg36nJ1zuMPHu1w501NHrrLZ3KkzEunKnz2cY+vvNDmkbsb/Mhb5tm/vcJkvcbsUomVhsNS1clPOnATPCfF7xiCWPQUcWmR6SdGkBhJaiWZ0STGIyvKXoOPXpdSgBYi71Qq8Eu5zNZXGZ4DngbftZQ8QcmVlEuSsq9zgFcEw1XDaC1lbDhicrTNhsll/uMXDX/wtSk2DyvGq4ZaRVEtKyplKJdyn8LZZcOFWQ/fzeW30FX6CcJYs32dYd14SDN0CUJbRHFJvaWplnyq5WF++OEFLs7O8Ruf34iWGoshMxmpsSSpJooVQawIIknHl5RDTclzKHkZjVaeY7hOhqMzHCdDy3xQQsq8nS+KZy5dEYAoQC5omEJlaYq8xuQ5TmoUaSqJE0UQOaw2HRZXHeZXYGk1zcuELcPMqmChZShVAn70kVXecWdG2Rnm+PlxXjypOHYp4Lb9LQ7vh6uzo5y7BK8ff1U04+Z7y2PbL/z2Jz4e/PgH/+v8V/6rAf7siZrriNbfyzqLf+/cTCAPbLXcf4vh2PkhjpyOGS7V2b1VsdL0MSbj7GyNP3rC58z1Oo/c2eahm9vcuqfESqPKwmqZmUUPrRyS1JKZrDcylmaW1OYduKzbrLBgrOglSoOcGyg6eXlipaXJx7tUXllwlMDRNq8ba4HvSXxXUvIUJV9RLUmqZctQJcvH4WoR4yMdtkwt8+LZiI89uYER32OqaqiVRQ7ukqTiGyp+SrUc8eIZOHq6zK4JW/Defts8iBR37rXs3hLw0vFhOpElCDPagS5A7lD2S5T8YT70wApHzy7wwql1YBXGZLkcNrWkie3pSYJIUw4tJV/huwbPdfDcDE8btM5wtEErg1ImP4JF5tJghEXQ53P95DyXEJuiIpUZUVSo8rJsnObDI422ZnoRzl9LmFvJJ/kX24ZaLeBt9zZ5+50Rt+5wCMMJTl0a4txVh3PXA3ZtjbhtZ5nj50ocuWAYHe4wPpTJ1sr0P75rr3I3TZX+GRB/1wAehoEMw+AXPvOZ3/6fT80uuPOLLtfmO+zY1OTAFs3OTSWuzg8jjMLRkvFhiRAZ83XN8TPjHL9Q5YnX22waj3nTLQtsmnDJRJXpxSqpUbgOCASOKtrLRas9L/3Ra94MdN7X7LjdVnW3oaNk0bFU4Oh8UMAtun+eq/A9RckTlEuCaslSK2cMVVKGqxFjQwEbJlZ54UzAL/zuFFevD7Nj3DBchlpJUSkpKj5U/IySn+A6IY3QoqTCUXmLu/vITC66SlKXWimhkxo6UX4+TyfMaHUkjZKi3PLwvSrb1iX807/a4Od/T/L8qSksCmMNWWZIs5Q4NcSJIowVgScpRQrflXiuzd1utcFx8nq/VjYHuMoBrgqaIoRdq50uWvu2CCK20LLk5UTR6yjHSd4xbccpV5shq2HM5k0BP3xbyMZxw917BEoMM7dUZX7FZ3HVIUoFmyYcxsqCLz8nQDW481DI7g2KJKpx9Oyy+/xrQ3/3wx/6AafTCf5huVz6L27n/xcD/NFvvMCjX/2SiKLg3V977qL/4C0BuzdWeeHkEKcuRBy/GPKGgw3K/hBLdQ8hYLjioGRhPVyxLDY9Tpz2eD7OePr1mFrJoISiqgyeyMEoXXBMTj+6E+6mkIF2n9wA8IJ2F4llTlGUFCiVl8t0MYrmaInn5gZAvpdbMpQ8S8U3VMsZtXLCUDVmtBawYaLOC6c7/PzvjHPm6ihbR/MKS7UkqZRlHr1LlrKfUfYTkizm9x+rIpXCkRYl+mVCY0VRt3f4kbeu8ugrMa3Yo1MAvB0oWm1Fw9P4rofn1Ni7OeV//4ll/tHvCJ47PlVE1LytnqS50CyKDZGfy109T+A7As/NO5uutr2OrVYGqfLauBQ2H5ToArzf8gSKa03eS+jSqzyqFwIum9/P+28OefjuOkrG1EqWDaMOnbDESt1nadWj3tY0WppGJ/89ozWHIMrYtKHBGw7GmLTGpeslXjgFmQi4ac8p/8UXnvhbN9/+ZjEz3/z7G6b+y9yz/osBbkyKU5r61deOfm6fpyxPH9VMjqzy1rsrXJwuc/aax5XrKcMVzcQIOQ1wFb4vqZQyhsoZI1WTD8JGinZYorOa34BSGXQ5j7K997Mi11F0Qd298Dd8ri7AuxqMbievG7217upOJI4jc/2GK/C93POk7GVUSjm4a5WY4VrAxHCDF093+IXfHuXElXE2jQjGKgPUxNdU/Fy/UvJTSl5umTy9PIKjBEqaoizXTzKzTJKmivUjljRNaCY+QWQJI0MQZrRCSamj8F0H1/Fx9BD7NqX87z++yD/4LXjh5GROFTJTaEWyIpIbIs/gx5LQVT0K5jjg6Jyi5ToVi5YUNAVE8fptMJ7TFYpdswC7ueHCV3yHYW8Yx8mIE8XZq5p2oGl1NO1A0gqgHUIYZaRZLpZbP6YZqQ1x6ark3FXBxbmEwzcvMTZUZmlZMr/6UunAvm33yBsrPn/WAP/EZ79KSqV87uTHD86trDobp2CkJPnoN1xa8So/+FDEni1V5pY9MgOeYxCim1yJosmh6YT5IGwY57LMNCtAKUBpgery1t6Ftv3I/Sd8Nin6IiopQUrRA7eSEq3FAD0B3wHPNZR8S8nL+XO5lFArxwxXAsZHGrxyLuQf/eYIx65MsGFYMVExDJUEVV9S9hXlkqDk54sjb/XHvHBK0A5dfEWxyPLv0h1CyIwgSTUVX3H4phYvnqjRSXKaEkQZnUDR8hSeq3Adt+DPw+zfbPiln1zg534dnjs1SWIkiTHFsHR/BjNyJZ5r8uhdaFOcYnHnTwqa0qdxsujyfjuQM5DnDO6cQnTNh1wW6y5CWNI0V3gGkSAIi+8UZgSxIY4NmclzkpWGIDWC+RXDYpDyobfOc88ehz/4Wplauc3E6CIf+/wX3L/6vreVj7z8x51b73zXnz3AT1y4zPZtm4Z/+/c+/R+GyskD2yc9jl+CKyZDWodvvCIo+w2+/3CLrRvyOcggUj2+FsaKIFL5l48kQSgJYt3Tc2c9xd/ahLEH7u7VtjfwbpELioQswF2IjFQP4KAKxaCjwXXIJ4HcQmDlZZQKelEtRQxVA0aqTY6cj/hHvznC0cuTrBvWTJQNQyWo+IJKSVEuKcq96J3heynVcshTR13qDZ+RkX6bvAsYUyRrSaaYHFM8fEubp17OK0ZhbAZALvEdie9oHO2idQkpDfs3W37xJxf4uV+3PHdmksRokq4CMLO9SO4lsqcudLVE60KEJUUeQKQocpMunRP9dr7o7jdrG0LAmiAjBpZDdxY0TsgHnaOMIMryIBYZwsQSxbn5aJJBJxbExlCthbzzgSYP36potSrctislMz5Hzyl0KXzg+vS537rlrg/99eWFc/Wxyd1/tgAPm7NcPLP8c/Pz5z7cWZlj/3bF+x50OHOlwngNLs8qvvRNj2dPNPjbH1pm5zrYOqoBhyhxiWOHIHJptnXu2xEpOmFe5gqjfJIkTbvy1r76bU3k7v9XryPX496yq6Dr8+6uYlArcn2GtjhOPljsuwbfzSj5KWU/oeJHVMsho0MNXj0b8fd+fZwjF6eYHHaYLGcMlW0B7iJ6+5KSl0d/30spezGpiWjFHkJJnG4E73FwUWg/CoFY4lBxw1wuEPuMdEEeZnRcVRyJInG0xtHdA2gtB7dZfvmvz/N3/r3hudNTJEYTZYI4M0UUF/iJwXMsriNwtSl2L5nvZsWOll+fYiq/+zogzBIDcWbw+g/ek3z+M6/q9AYkIkMQmXxONrI0OoJ2nCsSg9SSiYzxWsTuzR3+pw+EjFdGOHV+lEszmulFw5nrEeNjEduGmly45HzYuscuZFn8D/5MI/jZc9eYnNq49bOf/s1DSXMWrSq8dApu27/IbfsDtqyrctMOzfhxwTOnhvj53/Hw3IAPPNRgrJKwbrTNwW2gtMfUmEOa5bYEqy2PZlvTCjSdQBDGkjjtSl37fG9wa+zKAr8lqexut8WEjiqSKa0tjsqB7WrbUw/6Tlbw5oSSHzFS6zBUafHCqZS//x/Hee3iFBNDmolSxpBvqRbgLvl5ObEL7pKX4bsptUrMqcuWJ1+t4EqJo0yRxA3mE4WuOlOkRvPg7Qm7drS5cLXERBnC2ObPKKMTFlFYK7R2UNIWTSPLTVvhl35qiX/w64ZvnpggTEpEWa6TL6c5ZfEccpDr7u5lCooikSrr7XBKigGAiwGQD2yTg/eBvrY8ywxpaovdx9AODc0gt6VY6QgSa3H9mCjLuGlnwIbRiLFqxgcejPC1j2Scp48O8/wxQSvssNCI2bW5ze27qqzUXS5cXibjlUMf+NBPbm01Zq5UhzZ85wH+yslrZG5t2/MvP/uvTl1aevdLJyJGhi31juKZ02Mc3N5i/XCdO/dJKpUSkxWX1cBjednnX31smE6Ssmkq5PadAWUv44Fb2oyW22wcV+ze7NFsV5lZrLCiHVoBRLHoKdvWRu7BK/5twC0sUnXLgjkYtCqitra42uA4Bs8xeG6K76b4XkzZjxgd6rDa6vD0cfilP1zH6+fHGS/APVyyVEui0GHk4M4rLyaP3m4O8JIXEWcZYeDjq3yRSTGw9UOvkZInmjrn8jrKHQISMQBwg+tmuI7GcSRaKZR0egBHwM3bBb/011f55x9Nee70GDONGmFFMpxZqqnFdyxe8XR6FM0W5UIGAN6P4L3PW3zob2e90I3cxvYjdzu01NuWa8uC1dAwMR5yYFPIcCXhgVtDKq7h1p2GTeOKIPIJwhrNtsdy26MZxjSziMO3tJgYMdy0WbBcD6iPOFS8CNede/fli09k23bs+1vWnr0sxJ7vLMAvXryG75XuPnrs9HtteJIffaTC8UslLs1mlBVcvepx9VrC+asZwuTTLEMVy/rE0omhkzg0A5cnXxrCiownj8ZkNmX/1ojvuyfg8P5lpsYscTpEmgmkkKSZLbQlFvttssruTcjtHrrR2xb0xBaqwTxya21wtMHtyWNzcHtuAe7RNourAb/4+2U+//wES+0RJoYkE34Bbj/n3eUisSx5krJniwiec2/fi4GYx4+4rCYuYx5r9NiIwW095+Fxoql5mjfd1uGFMzGtxGMoMcWwr8GNcq26q3OAa2VR0kHIvEGDhX2bJf/yf2zypRcC/tlvT3F9aYRgWDPsCqqpoZyCl+TWy67KDY2cbqIpRS8J7r4OJuqDC3Mwj1hDT4oEN4gsM3WQpRbvvLPNO+4OObDVYFKHkaqLMS6rTY+zV/L2fxDlg8/WCHZtSNi5UTJRq4J1uD6X52WXZjTHLsPW9efYsH78vesnqr8fhp3L39EIbm0DqO0+ceKxn/3m468xs+Sh3BZ3Hwx54OYKV+ddluqS1aZLK8iji5TdMaiCE8YFP0shSCTt0KcTC86crzIzG/PN1yLe/0B+tJ2SOYXQSvTa74MALypuCOi1m7tVANUFuLJomQNbqxzcjs5wnQzXSXM5gJtQLQVo3eGpoxm/9eUaX3xmktjUmKwJxv2cluQlwG6dXBVPUUTuweidoHXEsyeH6cSa9eXu57kxgheJppEkqcJ3FPfsD0hNDvAgEXlCVtS2w8jkyaEWRRTPF7IomusWwfiw4MMPtal6M/z2lwOePjnGXFKi40tqqaWibQ5yXeQhyhZ5iS1A3r2Goq8dlyDpR/FBgHe/Rzf5N1m+iHdthvc9lHBgi2KoNEIQOoU9RV6fz6f588n9MMlnarMMpNRIfC5chnrLslQ3XF20KK/DHfs6bBhxePr5Y7TM/p994A1vem1ppX1ufLTyXw/wLLzAyaNfZ6g2tGFu+twbS7pDza/xzGuaywsB739onvtu1aw2a8wtlai3NUEoCWNBnFCAOwd5XAyypkme7adZYU6TeaSBz6mLmm0bJK5j0brbPi5y9YHCSndooU9Nul25XDGoJIUxpelFbkflWgzPSXDdBN+JKZdDXLfDH35N83/+p0kuLI7ieD7rqoJRL6PmWSoeVIoJ+5KXdzv9oiGU61eyYifI6clSM6Mdu7hK4UrbSzAZAEdXXpAP/kri1KHkhKwbDqh3qgSJKOzW8oXuOFlR5lNFuVPlAF+TuObKx3ff3+bOA4v80kdC/uCrE6ykFTqeQ8WR1HSuwfE0uIreMITuNn2KnU/2qEq/AfQtnHztXooQUCtLtm7QeHKSq7PF8ERhGpRP73cHxHPfxHx6v7D6SCxBlE84zaxaVjoxWzd0+EsPZGyfLHPiQpUL0y2sd/aN88tyQ7vVOPfqiavcftOW/zqAG2M4cMu926Yvnf2PL7x8gVPXFDdtjxmu+hy/qPnXH3W581CTN902z637XFbqQ6w0fJqd3B0pjAVhrIovlD/zwdYc3Ja80+h7+aCAtVmPN3ejcy9qM3DBi+6bHAS4tL2p+37kzgqQp7g6pySeG+E5AZfnU37jSxU++80xLs6PUCs7jPow4mVUPVu03rvglgW4Za8p5Bfc23PzhVOrRHzmWc25KyV8JfKOYbeCQh/lPRsHm/PwJNXs2wrvvLPFb31ljHZZU0ssYWLx4iJvUAatZV79UAyA3BnYavNdYcu45O//UIdD26/z618c5eLcECtpiY6jqShBuQC6K22+cIoqU2/3617XbvmQnJ+vqZEP7EhKWJTKF0WrA8fPO5S8vJJli4Q6LfREcWpI4vy1a0cRRJZ2CIstWGyn7Nzc4oceSLh7T4lGa4RvHnHoRG1u3p0yvXCOHbtu/o833/yGt7darf9bqvKnAjxNUpRWnD97dNPVS2d3bhhZhO35bODGSYnn+FyaURw55vLskYhb9tX52fdOMzlaY6VRodV2aRdml1GiiOKByfdiQhvyC+k55I0S3+A7GVr3xUCiiCRdoHeBnb8W/64Ad1416UbvDEen+eSOTvG8CFdHtLKYX/uky29/aR3Ty8MYVWJ0SDHqWoZcQ7mI3OVe+14WOpWCmhS18x643bx7GSUx5657tGOPEa+o4nSbTt0I2O3C2gFNSqKpVTTbN8UoL6QVVwlcQamgdm5Br5yCouhu1UOoPyF5VUwMdfjpd3d474Nz/PaXmvzGH42xFFQItI+vFWUtKCmLl9o8msucqmjZlzd0u5w3RvL+faCXlOqi1GUbaZ4cO7LXGc2Hv4tdu6CscZqfTNGOoBEI5jsW7XT42Q/UuX1niTAc5/J1n4vTgqV6xuSYy4lLLmdnO4xOnt65ftTbdPddt1+OoxTX+5Nh/KcCfGVlnqFqZSKI5Sd//wtHncnhkD2bO6wfK+M5kijy2DzlcXnG4+RlyTOvOlye0/zQwyu8+bYWcVKhHfg0O3lSESe5SU9SbFvG5GNlQnT5si24ciEGEnZA0tnl3jl1UcUW3Y/ehUpOZTnAdYZWGa6T4LsxrhPTCGOefV3yh1+r8UffHCPMqriuy5grGHYNFddS9ixltw9u35N4nsQrqEneGCoqEwXAXSfvfF6atTz9Spk4cfAq9lsSzN6u2OPg+TWIE4XjaB6+s8XHvt7mzPUKgZ9v55FjcVNwEoMTG5SSed1a5ol4z9yHG2rsRlL2NFPDAX/nQx32b4n4g69VefnUEItBhVC5OI7G14KSBE8WZdRueVXavJ8gWPPkBsrS3UGVhCSFMLG0gjx/6q5nY/qDzHGaN3qCWNAIBY3IEmQJb71ziR96U8DWiTFOXx7nxAXN1bmU2ZWEMMk4twDrJwPu2Adu8qIzVLvjk4vLrVuisLX4XxzBp1sj8vSlM3efOfH4kDUpzcYoH38MpBNx/y1N1o822bbJoVyuYYTHQl3x0uvjnLvqcmZmib907zIjFc3YsIvJXMLYIYgcoqQYFE5zCaYtdPdSDkbtPoARXZ2ELRo5uf9e99/mvNuiVZYDXGU9OqJ1QqOd8Mxxwe9+pcbXXh1ipVFFlnyqJcWwY6m5hrJjKbuWkksRtfPIXfJkrqFxBb5LodAzBbgNnpPzb6Ujzl6H6YafN1YKfru2cdLXz+RzkDnIUyOJY81UTbB7c8CxqymdxMltGhJwY3LwqaygKN1GDdyo0+gunm4ZMslyffgHHw54212rfOO1Fr/31Rovn6qx3CrTkC5tV+MqgSsFniSf4ZQWLbp5TeFCIArZbxfg3wL0vjy5mzZ1B5iTTBAm0IkhTC2JzaiUYqbGOrzz3gY//OaM0eoQJy5UOXUp4+SVkIVWypb1MRvGE+4/KNGizPnrHmEc8cQzjw+9/S3J3du2bv8Kf4p50J8K8GvT014cZv9+buFiZc/mmP1bLLuuVzl92ePrz1VpRSG7twZ0og6NNkSJZtOoZb5T45c/WubLLzbYNtnhPfd3GKkEWKPZs8kyOSqJEo2SGpBkWa5nTrLc5RULdk15qhs1+gL9fDGYgnMblMxQMsPtVjNkwmIr5alXNF9+psrnnx5ioVlB+D5O1aGmYcjJJ3lKDgXtgJIriqcsJKcF73YFXjd6dwGuU1w3xXdjrE14/FWPK7MlxkcFjjQFjxX9Qd/uo5j078lPs3xwYOuU4OHbOnz2+Zh24hAkAt+xuGkexaPEDuxSqlevRsg1NCV/yt6gQt411ZS8iA8+FPCWO5f53DdbfOmZMk+9XmWhUSYQLoGr0Y5CC4EjBY6UOMIWVMsiEQXlst/ynbolAUMeyaNE5EZLwmBVRpgYxoYS9u4OkSZjuBrxvvs7bB4XHNrhsNrKjzT0vZT7blnhpj0ZrdBl/2ZFqz3G+Wsepy7DhbmIXVskw+Hlymj1jn+PvbYfCP6LAG7bxzBRhziIqTc1jU6TXZtT3rm5zOlLJS7NVLg8X2KllWKNyUHiWHzHMFaSXL02xqnzIzx9PCYzOegevLXDtskUk1necHOLneszwkiydUpQ9jStwMlHo4zsFcGAHsClMMXwsEEUANc6w9UJvp8QRhlnpuHyjOLjjw3xlZdrLKxWwPHRNYeyklQdS1UbSo6l5JB/Zhd8J/ckzGWmcuApir+3BchND+Suk4+nXZgxHLvkgeMU27wdaNGvLUF068jdSkpeacjtnA9ujziwqc3p6TKBLyinAi+xRIqitGeK6N2tpnRLkH2u0quzF6VIY1ThPpCX7EqliB97JOJdh+s8+kqbT3y9zOUZn9PTZeK6R+ppQq2RSubtfIr3o+DmA9pxUYA6s8Wpb2GGV4rZsS4kiTJ2rI+475aILIOtkxlvvCVBoTDGYahSod3xuTLr0YlcglBjrKBWGqbsCVYaHi+fcLg0bTl1LWZsrMU9BzN8PcT8aoennj1PtVr60yD8JwN8cWFahGH4s5/93O+PuypBUOXIqXFOXmnxg29Z4d6bUybHamxZp1lpKBrt/OyXILJUPEs1NoyWLGEKzdAjsD5xavnKcyNEicFi+MKLEeO1mCxKuO/mFu+6t8P9N1uCwCPNFMYWw8MD0VsWIFcyw/NyJ9U0y5hbhsee0Fy4XuLJF0tMr5a4MFMBz0OVNb5WVLSlok1eRXAsns6N4z2HAsTdpyyeqgA4BecuwO1keE4evfOFFXNpEU5dLuPIteXBHkWhrwfvgtt2KylGFpTN4cDWgN2THY5fTOmkDtVEEGlwU0uUUERw0ePhQso1kbxHU3qmPqKXzOb+MYokc4gcl1op5kfeGnH/oSbTq00ef8nl4jWPR18tM7PskwUORmoSV4FUReNH9sRtxZYBWEyWIeKIh26u8/Z72zxwc0IQOIxWJTs3gLWaKPEJ49wVIE4UiytOXmGLdSHAU3RCSSsQ1Fuw0sin8c/PpkxOdXjXfYayGubUFYEUhpOnLo//wPt+5GevX5/+5U2bNtr/RwB/4aXnSdPswycvNStbx1xGa5qH7xDMLNU4fqHF+G3T3HdoiLnlGlfnylxfcJhbVjTbeRZdTmzh8gpjVUOWQmJyFVmSSRIjabUdLq7k2oujV0d54tUVfv6vzfPOww2i0CMzqqh/97m5UhmOl5FklovXBMcuKh57sczxSy4nL5VoRh5R7IHjomoOnhKUFZS1oTRQB/Z0V6fRlc3munCvoCWuq3BdWSwA2+feTpZ3Fp2c5/tugjUx8yuSyHpoLXGlRQ+U2W6sIXdBntn+vGNW1MMFmonRGKlC2olDR4u80pH0BWNamTUdSCkGstiu2RECa2Q/kg8YIzmZ6tlPdCKXdSMxW6YSbt8REcQBf+VSg+OXXR57wefYJZ+LVz2SVGM9hZUSGLTKsmAzCCO+/75Vfv7HO2ydKpGZEcLIoxM6nLumSdM88U2LEzVyD8nc3TYu3AE6oaTRhoWVlOnFjMsLlrlGyqYNdW7Zabh6bYqZRY3vpaSZRtvZymuvPvdhIfQv/z+K4OdPfJXZxbb67KNnRdlb5p6bApSq43uWy3OWTz4tePZ8je1TlgcOznNwh0tm1tPq+PkR2tr0zojJ6915VzMz/dGzrh9enEEngtmGy7Gr4/z8f8jwvVnedm+bLM5PGk9iSycQCAmXr0s++jWPTqI4ctLn/DWPpbZLlLmgXVAOqqZwpaCkoKwsviK3M1OF8EjlUdt1RN70GAS3I3ELWuK54LkUVZO8Ze5og+ukRUc0oeTHLKxmPPZclUbLY2RIoItafFf09e0aJLY7dtfj4pIoUoyPKd52OOTRlwOuNioEjsxpigYntThJt2Zd1NhllpcLGfQ6kb33MFYPvEcOdDdTZFqROook0ySJk5dSnYSKm3D/wZR79ke8540hZ69Jjp5yCGLFHzxW5tKcA0LSCRRZJEFYbGJ4271N/slPNdk+NcTswjiLq2U6oSYuDFOz3vt3d5S8g5kUVs5xKohiaAeG2eWUk9MdDuxs8cGDCTvWhTRakk894XFpzsV388U9PtJBJKdE6tymPvqpr6U/+P63/ucBPM1gfKTya5vH2jefu+Lxsa8p6kFuytgJYLGuSDLFwrTlzLmEqRGYGoLRmqXs59u6KWqfOZi7zwFPPAvW2GI63FIpWRbblmvXJE+95lL1DFfnFCUfXjrl8oVv+oSJIkwUs3MuRmgS62CEA1ojPI2WElcJfGnxC2B7yuIpm2vAdVHz1f3I7XbnMnvgVsWMpuhFb9cxuG5XoJX1orfrJigV88Rris8+X0W5Oi+3reHff3IE79bCcx4uSTJFGDq8696Azz/b5A8eH6Kd+lQKHu50eXjSbcrY3rSQEN2V1DXalANcfwDgJo+gqc4juaMVqdboNMuBrjKUyo30R0sp9+5NObw3wYqI9z/UIUzyAwW+8IzHS6dcfA+uzUkeuD1g85aUsKW4ODPE/LJPnEiyot/RLWH2qzz0A17WD3pCCA4flLz7IZgadRmulMiyEaZqGX/t+6AVZqSpot7WROEQR05nN998W+3XJPz0f1YEn15ssmG8WvtPH/vC3nJpUR0+aKk3S8wtK+ptQVyxbBm3WEPRbndQSuA5umgn0/Pg6wO5D+y1M5T9jtkhN+EvvXmBidoCscn42/9ilONnPJQviawiMhorFAhN7gusQSqklDhS5mCWFk8aXJkDwVXgqr5HXw5y0R940PkgQHfweBDceYQvZLVON4JnA88UTydYGzO95BJHPt6QxC3a3qpogKzpYnZ3dPrt9T7IJZlRxInDSFWxeTzGFSFB6hGkgpLO7TO6GpJuQ0vJQXmr7L1X/h6yaP6YARN805uM71KjNM2KvoHKG2QqzUfgkrzkqmWGVCmbJrLCbiJj/7YOsW2jfcOxsw6/+tEqP/NLVWr+CKOOxnW65dz+bNCgzLZn4zyACyHA0ZIwdmk2Rwg6tnAN7gfEKIFG2zK3krHUTNi4vqN2b2ruvfWu99WsWWkKOfqnA7y+skKr0fxlkZ56qNnq8OhZwd2729x3q4c1LmHk0Im6NgX5oEKWMTDQStF86Jvv3Ch37eZDSuQ67ZJnmBqL2L89pTaa8it/oHn+VCk36sYBpfM3EAohFUJKlBC4oojQsmg7S4qDW7t144FXXUzSK4qj9+iBOx/rUrgFuF1NT2KaR/AiimuDW3RHHSfB8xKuLRk+8mgFtIsjRT/B7NGTb6Ottv3rkvUsGfJyaZblIP/htwV87qmAk/NV2plDOc0Ppc1VgLY/iaO6PQF6NeqeGq27UxQNtX4UF2QF0NNMorXCyXK/FKcAet44ywZes55hkJIpUma4KkNHKffujfn8hoxf+cgoujLCrZsypoYzfK8YHB9QJQ5mgrYAhS32HSHy29wJJHOLuVQ6iIuWfgKdyBImGRkZh/a0edcdCc8crfHMy2cf2rXn2i+nafo3/m8j+DefehSEdBfn5ohCh4V5j49cMBza0+bNtzfwXYfJMRgflnSC/Fi+esslSWRvil12rQhumJwcrCbIwt3VdQyVUsJILaBSDlmpw8mrJZAlcHyQDkLkkVqJ3EjSETmgXVmAuffaHaodEBJpBnxQcpC7uj9V3we47NEWz7W9kTbXNQPGOSlOEb1dnSBlzJU5wWLTR2iNJ1lDT3p52ICGo9vo6dkxDAKvqHTEqcNYLWLruoDTcxFBpgkz8DKBk1mctODhabedbgZa6GpgNYleYMmddruTUgN8ODPozJApidLd48tVIVbLCg8V0+85qAwlnPwcIJmhVYpyBPu2JIyMRMy1Mq6uKqI07wy7utDmqxs0LINoH7hWsvjLJIN629JKDEGUMjaSURuyTHkxb7o947admuV6mdGqZnV1haee+rprzLcWUr4F4Gl0DCEEqe3guD7vvh+aLcHXXxnh35zPaIUpd+xps39HipIZb7q5Q8UfphPqHoi77fNei70IW2tkraqYqHETKqWIktfm7HTARx+r8ImnxqFSQWo359WSHNDdlr7I28m6AHb3VRUDBn0pKL0BW1eJHOxrwC3zV7cL9G7yWYC7O/2jTY+iODrnp66bkJLwpWdLzC+WcIYU7qCGY7CC0sd4P4Lbtfx4sOkTRrmD7Tvua/Ps6yHN1KejNaXUEBftdCX79K7bQRTCDFCCbqIpelQx57+Fp4qFTOXvqY0gVQKdSbSSBU0xpAXQewBXZk1zTauMVKVYK3nf/QGzi0t87DHBselRVjoONU9Qdi1lx67p6g5O7/cFc4WArrhAnVhgdcIb7gjwZMbNO2Ju2SVpdUq02sN8+nFNs53hOJZGp8WrJ09925mBNQBPVj6OdktvuHDqyTu/+VLKE0cVw9U2ezZa9m4cpRMqwsShsVrmG88JPC9jshJy227DcDXq6UG6XcZBLYnv5lWI3L44tw5rhxmQML2c8vhrij96YpTXrgyTUsnb4wWv7raOleg3UHKvE9vTTWgpelYIg8Du+aConN/pbwfwbsLZ5d26S0tswbfXasldJ8F1YuYahlfPl0C7+aFYsn8jezeNtVG8WOp9w6Juvdr2eXGaKZLE4bZdEWPDAY3VMp1UUVbgpPl3UZnNn8kgwMlB3nujwkJ60K3K2DyaG4FRhswIHCPIlCRThkwJ0gLkg+K1rhyiH8mLJpvSZKmm5Gl+8l0h9986xyceb/H114a5uliiGWjiZY1G9hSJWudqTElXAtAfMXQKiYCUcMtWyVsPlXEdTRBpjp/Lh9bbgWC+3mHv5hbVks/Tx3xapnLnO95y/xt++T++8Zm/+1Pv/PYAf+2Mj6P19734intr2LLsWu+zVPe5NmfZsl6jVF/kLgX4rmakotC6ydhQB9+N8dwE10mRopuQWIy0HD+vuDIve97cmbU88bLHxdkSs3WPVy5UiGOfkq8Z9fJKiFcMLeRg7ot6uhRAFWDvgjwfLu5OquS0RPWmV/rA7g7f5tG74NyaHt/ulgTziN0Ht9NTJyYIEr74TY9nj1eRnsaVIvff7ikIB/1Z1k6f93OTwkSnF8XzRDMziiB0OHxTwDvvb/EbX6wSZx7tTOJnlijt7mCDqj+DkLKI4oNv9SdFcjBaFtUL0QN3piRKmTyiS1kYBA2C+0aZRK4BihIX3/W4dXvIgR8JeN8bQuabgvMzLk+87GOMRCqBUJJLcw5nzrsYkZt85p873z08R1J2YH3V0Gg4fPU5jedIhOwGA4NSsGXMxaYjXLomcFXIQ4eSW3dNxt+XpuaZbxvBT1y4RqVcedsTTz3+Q0dPt5iqCe7c32ConBflu+3m7oVS0lL2U0ZqHXyvRScKqAcxjz7tcPySg+fqgj8LrJS8esrl+rST2/dKiUGxWM9Xpucoqq6gVClUbdLkGuMBsNwo4ewBvZusDjhXdW0ielG8mIZx1Fpw53YKN0TuYmbTLcbbHN0dOEgHngkxCZ94vEZmPVSvezmYYPbnGruVjTUcvDiN2JouTZGYolyYJ5sagcMH39Th978UUTcJQeYTZAInpRfFpbTIVPREZ3m58EbtkRwoTa4t12U6L+Hm4DZk2qJMTldSWWhfpCzALPv1fWEGpMr5z53Io9Ep4TspB7Ym3O4ldCLDX7q7g5BFwqotF6Ylr51yoDc5ZPFceP2yx1deLJNkPpfqJZbaitHplLKXd27twLmmQuR9lKGq5ZbdkrJaYrS68kOH73vrk0H70qOlyva1AJ+sJrhesmvn5MrOhckVllpljl/vUCnFJJkkyyw2M3nJyRQSV23w/ZS5Vfjck6PEaGZWXBodjS58qGVh5IMVaFvojUUOwqmKxR3Khxty5dogd+22K9ZGwkGvwe7v6YJdKdHn4oXibo3ZTQFsrUS/ktIrB+YT9/lgcl+2243ceiB6e07Mq+cl52Z8rHJQUuJKgxYDwwJFmbBXIbyhitJ93miD1m365PbEDjs3JBzY0eb5syUS5RKkAl+Ck1l0KvJAIIopnLTg4UgEhrVvKQaiuBigRt0T17rVlWKHLbwLdSaKensX3F3JhOx9r+69EjeoO5XMr6Hv9qswShpu2mLZv7m7MHLZhdaGZifkJx8JsMLwyafKzK54eVdZ59/TGIh7pc1cx1MraWolh+dPQFYxO7fusrvaHfHot0bwcyt4fsBrp1NmFkrUA59Xzzg0gvws+DDO8oNBi2MtMptvuVpKZHG6gpKCqoLR4b68Ug1E3+6Ue49eDCRJN54fM2g0M5hp9w01xcDvpTfp0o3k3XMvuxYJgwAfNP/Jp+3pAbvXrexF7gxX542dfCoowZLwqcfLLC+XEJ4uKjsDid+NGpSB7zBYIjRmbVRdU5s2iiTRjI9KPvBwi1fP14gyn45yKWU5F+/KWZWkAHd3rzBFTbyr7yuoyg183Bg7sMAGGi9Gokx+r7JieLs30N2Tw/ZvTtfarf81C6lztxm1Rv1pB2jOQK5WLIjxWq7j/+vflyFEjFKG7skYWSaJE00YuQSRSyfUtDoO1xcUaRqxb32dippFOeG3UpR//5HPopRibmGJm7dE3HugxMKqz1LdUm8ZWh1DOzKEcfdYue65k2uz+MFIK2642b1ZvwFzHiH6NdCeFUFxobvRxWJ7/6br992tM/ciuOpG8sKmTZF78Om1AHeLknoX3HnDp4javVa8KX7O1jy1yid3Tl6BT36tSiRdlFQFrVrryXJjB/PGbv3g4O5aHl5w8UyRZhov03zgrSG/+5UOr18skSiHjpS4mSmqRwKZWQZLtHkyN+jcaIr3Wntu0WAkzwzoXgnRok033zHIrO9UkA87M+AQ0C85dpPlrjHZ4NRVd1A6/3yDlba1VTcJvWpb91zRNXbNUS4TaHQk9RYsrhoWGoa9O9sMqec4deQM1pq1ALfmPIid5V/59/92+6WL84xUJeOjbTavl7Q6LssNl8UVl2bH0glNb4i4qzfJI0Hfn1sMbMv5B+4Du+8ZOOgXkoc2Ywsf8N4R3HndlgHf7749xFq7gx7A1VofQtWN4EWTZw24u+17pzuYbPJmVW9ErDvTmRbPBOXEnJvWtGIXlC7oib1BHvutAwFrqigDfNjeWAsvpnH6jR9NxRHs3Rjy+rmYzHgExsXPcs22Lji4Evk1yxtLXTmr6SWZ/Ugu+h3Oosuse8am+f+mioieX0/Zm9XMxLcCPJcY9A/jzbI+yPsA7y++/r23A4n4Wk/E7mB2llEMLOf68iiCTmhpdixL9ZTlVkojNFT9jGZT8NKpMlu3bt1+73v/Vvmlkz/XuevAxhzgrZV5XKf51r/0YPXnXirV+cJzgsVGjOsr1o20ue+Aw8p4jZWmQ7uj6ISaIMpVgHExQJpmXZDne3C3o/btzDD70Xttl6972m4Y5p52JCCyPle5cRfomtbIHsD70y7dqD14irGjKGrhObhzAPdNgZxBejIYvVUx1+nGrLQM//bTVZYDH+E5OT2Rdk3SKwe+17fRWa0FOoU1cVev0YvgeUUlTTW1suZn3tfiG6/WWI5cYqkJpMQtZij7lg9drXbuFUNRNuzKaC2mALfBIm+orIgiguezmcbkuYwyXQs82wss3flYa3OhVBgLOpGkE4r84IJskFaKgf8fvUi+psJ0w+LPhXiCOM1nUnODVkMQZbQDw0rLstTJOHyozdiIpOanDJUFn36qzP1y08/Vnj/9TKsTfK4XwZ945gJKeawszbKybNm7cYjz10ssz1hmqhFvu2uWnRvbrDbLtAOPlYbLctOl0VG0O/m2kaQiPzXX9o0xBwEs10TugURR9mf8jJGEMdRbgtRY4jRDCbDF7+lTgD4dUVIgVd9+TA2AWkuJLiiJ7gG8y7lNL6l0tOmB2ylmOfsT+Tm4HZXgujEff9zhxIUSSAcpJV5XGtvdagdoWfeL/YlqwoFo3jupYoCmpCYfOUtTh4M7O7z7/ia/+xUfoz0C6eJJ0Wv6KClIBkf7bojkYjCSd+2QB05xsBaMAmXzXcFYgTL5tctkAXQlkLbfsOkmyfkhVFBvpUSxya32LGt8ImVvjrQP9sFjxnv5ic3nN5M0K6zrcnq81Mqt4FpRfn7T0CjcvtNlyPdYbmjOX7GMVUK89CrtJUUUxn2KEmeGks6YXoLXTmj2bIv50Ns6+I5EyJTL8ylnZ1OyNCEMFdum4Nb1PjOLQyys+DQ7uTYlLbanHskcrAf3ksoB56med2BX750rGc9chcuzFmvyX/InAruXXA4CXPYBrgY01LrQpTj0qIij+tUSZ8AcqM+58+jt6Ny1arVh+MITVZYaHvhF9UTYXuL0J1GUrofijQT825btuiVDIzFZt5qiGakpvv+hDp9/NmS57RErTZDJojwpiuqN6G33cqAr2AW2tf2pH9OL5vTope5WVlTxs8z/Tskc/Lb42RaVKllU0oYqhmsLhsuzGVlm1hYBBnXrg4D/dhqd4pqkmSVKDO3AslC3XFu1TE4E7NkTE0QGm1mC1OE3/rgKCEpuyOGbIt5wKGHdRkOlnCtaAXS7fhLHG9/WXHzyb+roOhcv+jzzen7eeKUsEGQ8f3KExYYD5OY9WzcmvPNwwP37M2AMrVyipD9A3H30bvJA5aTnX1LYqg26TpX9BClDnjntc362yqaRvNqhNP3oPFAlGYzY3QmX3NydteDuCsG6kVsNRO5vieBdu4m+5YRWeefy0mXB2Ss+Bg8hdb/D2lMPDibVYqCqQe9ODmpR+pFcDNAT0atk9MbNMg1Ws29rzM71IcunS9jMzaN4ltMUPVDF6ZbuBhPzYhCUnow2T77yaG77dXIj+9zcqIJPS5tHewlW5VFRSotUeXl1/VjATKPN689V0ThUPVMIwwoDJplXt+QaoK/V6oiB65IZSFLLcguWwpQ33dXgnYcjdmywxLECK1huZjx30mKsYqScsX+r4sTFKh/54iIPPXjz3/yBt7/xyDOvnbusF5cF5Uq87tT50tueey1i/aim3SlxdbqSDyqYvBY6Vco1u6mG1UXLF5+sMKRTNk9C2c/wvexbzskZ9DCRvaZB4VsyYMxT8hIqpRCtO3z8Sc0XX6pSkzkf11oU/F0M2CCLNZxb9qyAB+vgg8/iSGs1CO4BkBfn1TuqiNpF9FbFn7VOUCrhS89XObdUArdPTxzZr+qIG6L3jXYR346mmG9JOLsdzbVcPI41O8Zj3nG4w0sny2Ac0izn4k5WmHxma6mS6E3Bd23BumVDWUhWRT/Z7P4s6YHZ3BDRrbI9NEqT0x+3GAB5x+Emp6fbfOob4xhZouYJam6hxe/qZ7qDGqLvSd4tRHy7JFwKwc07NO85XGWkOszqSt50zLJcOHb7jq6WXDKzoFhuZGwZXubgZvM2h3DdeDm7rJOiHNcMYaUN+7ZKtqyThX+cJIgEYQRhDHFqMVn+JbXj0wktURJTKaWFi5O5weorL/0Mahh6lmqqmCApR7TDhGOXLL/6uWFeOT8GkU9lxPRKTX1g5wbu6gaA919vAHehJuwpDG8Etu4bBPUs3rQpQJ7m9EQllMoxz59RfO6JCkHoQlmjpcARa6nJt2y9gzTl2wGcG/j3DSXDwbp4kmqGqpr3PBjylWc7vHjGxVYcgszDFfQWmuq9/6BhUhfcfZD3xoZtN/ksFpjKR950Eb3zKD6wCAvbaiVF73MHkWakVuZvv7/BI3dc4Vc/X+P1CzWWGyW0rylp2dPoOwNiOSX7NfPBoCBFfs/KvqWmHY6eLeGo/HtlJndHiwp76dyJF6LU4nqGLeMRtVKCELnMV6+2DAbDQt2y0kmYWU1ohpZ3HW4zUnVYWq3Q7pRotD06UX7hlYSyZxiupQxVYmrlKPcGUVnunSEH7B2ERRZt2m5UTLMUKxOuL8HjT7q8cKbGN18bZimoMOZL1tcMZdf2uo29c3UcMVAZkb0Es3uxlOorCrXuCq9yQ6GuhbIuDmHSai3QnV60zp9K5Qmm68YkccZXnitz8moZHAchVQEq25syX6OI+zZNnjUVlRsAYwcGkHsdzcL2wQyUC+NYs39LyiP3tTl6uUSUumTSITAKN+OGz9KvdqyN4PlrV0Zri7FXq7qLLR9q7kbzXJS1trQpyPm+UgInyY8vXKxXGBuCh25pc/f+Ok8cafDyWYfHX6lwfaFMRzhEqUZKVXRFRQ70NQl63vV2pKXk5NNe1xdTmoGh5IpedSeIDY3A0Agti62UiVqH7zucshpUGKoaauUYR8YYnaB/4yNfwliNJ1fZu0Fzadbh9QuCK9ccUiSNMOV/fM8Se7fWaIcabC4lLXkJZT+mUgpxnBhjkkIjbAp9cg50Yy2vnVF0QtDaYIXg0ZdLPPrKKFHmsbBQIsOl5gm2DlmGPEPNt5T9fMLdLQ5Rch1ZaEry8p+UosfruqDuA9wWkdz2nt3InUds24vUuvfa/9kpkkutEjw35vgVwaPPlukELlQcpBA9LboaqAZ9Sxezp0XpZSUDPLxbNhBrzh76lobPgAArThyq1ZhH7o34/FMhRy96oF1CI3ELLq4MqGzAu0QUpdbudE02CPb+IIotKEifqgiMKhbaQLezmzPki1b2CgeQL4YwcqmUSrzz7pB3HQ75ye9bITMLPPaKw2Ov+BihECo/fvzEGY/U5NqkfkUiF1/NB4pyW1BrQdXNTZlcnb9POxJMTMX83Q82aLRKCBw2jXscPV/i/HWPc2eOEDXOE8YZGrOIEoIwSrk0V2LLlGDrlMNyo0wUw44Jw3BlhamxBpCitWG5aWi0DalIiGzMzLLgM0/4+YcbNMuU+fT8Z54uUa87KKURUoPQCKnwtcyP4nMsJSeP2mWvMN/xRGG8I4tILnvmk3qAjnRllt2yY5eOqMIKTvX8wW8Ad/F0epSpALpK86dOcJyE1GZ88ZkSTx8vgZ+PybldeiLWJpe9yiAD1ORP4eE3Hs2Sy1n7w8iZ7fqa9IEehQ5vPNjhHW/ocOKKT5o6WKEIhMbJ6H0mkfWjuFiztL59JDfdz1NEaymLzyFzlaEuKElmwRnohuZJaz7YnGb9049bgY/vJoxVY1w34SfekfCT7wyLfCZjuSn4wtMuqRHF4itCgMxNoT/1RJWFRR/hapRWzLcdVpbyay+tQPs+J85UcLQijOCVEyBVzI71MfX6Mq1WHWst2kGipWA1lSy3DLfv7XDXPkkn1Hln0WQIGfHqhTaX56BUsjx51OeZ4x6OUiglCSPF/LyD6cujiitaTPl4UKmBK0VveMHXFl9nvUl3r7BuyB2kBH53fMyRxekG3c7kDUrC3tMORPPuCQa2R1G6h6B2Ae0MgLpbOckrJvmrUgmuk3DksuSTj1cBtzdd5PSaO7YnrlrbuOjWvotI1xsEtn20d0E9yMPNAAe3ApMJjCqsH4pxtjTTWKv54JsCHnsu5OULuZNAYhSdTBSCr2LRZd2ZyH73sb/W8s9ire1VRnqmQQpUcS6plAJp8uqKzPIAkw8Kdzuv3SMRc1PVKJYEns5PWS78YxwnLRpmOQ2UxTX/wbd0jxPvt9YFFissb74lJIgCtDYobXjmuMtTr3uUfcHFWZ/VlTJfeF5jsnzAvRVJ7jgQcevuAIRHZjyEMOjRmiEzkqnRGCkiri4p/KstqqUUIeDkZcELp1wuz41zedrH91TBf8Gk+YfyBGxf19WNrJ2/7Jkzij7wHGl7nUVX9yfb3TUHl/bHyfI2ex/caxtGgxLV7mSPHTDA79OUNVF74FV3+bfq8u/8piRZypMvljh2vgSOAzJPLt2endkNehspvrUOfgM96VOU/g+9AYgBjcgadWEmMaqoqGSaKHa4aWfIG+/Oo3iQ5VE8Ei6hIVcAFpREZt1yoYXshkWGLeQVtveztSCLGnhfYAWZzFWFsuvEpfK+Rw7svOsYF11NL1a5A8ENmnqtDXpwKGZg1K6/o+VJrlL5himERRjDw4cMj9yWUvJjLsy0uLTQ4aWTmpOXXUCwyddsnlC8cLLE6JBmalSSpKA3TqRgJVqlTC8YXjtb4vkTHlmWYUzuR9IONEMlyd07u+NSZqCTVZQPjSgskW0P6EXC3QNBdxChf9pwMSs5wLMdR+QDwFoWh5f2GzZdx1Mh15bBBsU8qktP1Npae7csuebnG8uBXXqictXguVnB732lSpQ4UHYKekJvNE0NiILWVE4Gw+WfRFHsWqAP0hRjBoBuvx0X11Q8yY8+0uGLT1c4M50vvswoOpnKVYaZ6PkJIiwiE70TIdYeD9jl4v1cQFqLtMViNf1r3JVeqOJw20QJEt0178ndcD1H4Ea2mHO1uFoVPYbiPhTl4q7wqreh9RazKAyCuvQsvy7dxaaVoVpKObAhYsuo4W135DtdkkmS2PDiKclSwyE1bj5vevvhH5q6ePHU//qNp57CceA992Zcmi4zsyiIEoMatYUCr6g3F1uwpWuL2z+5IU5srtMtSo+D3czeWFIRiR0lepHZcfonD3cjd1fS2p/Uz3eBrn1vf5DXFC3h/rk8XS6uupREm4GEc5BvDySYA+DWKiG2KZ95vMKRc6V83EdolMg7l13t+uBw8Zp5w2+jsfj2JHyQgw8eU54nd9bku+saBywjMUYThw637Q5435va/MofugRGg9EkQtIxOVWRhW5fZN0coV9ZuZEu9SO4RRX1byEHFkQh9xTFTtUXtlmcpBgBTARhdzfWuc4+lyd3E/zuaRJ9uWw/covCIkIWiyV/7eKpm9cN5lquk/+uKBHMLFouzsfcvKtO1Wuwdeeb/9ft2/f/lD5y9srw8lLr7VGUUitpri/kJjgHdqjiQNb+L+4nLfnNSAp7305o6AQZQWR6JxYbs9YOoMeXVX8AoZs49ibd11wY+mW9Ac1KLk7K1RVd2+U1PuFrAN4Fcz+K5xd6LSUZfFUqwdEJZ2ckH/tGufBfyaO3053cHxy4EAN0ibXUpN8PGPhDj5astdToiq16rfsi0cwTzwLYVmIyRaYKLp5pPvRwh88+WebUdQdkjBWSKHPo9OhhURfPinuZFVexWyMfWIXKdnl5IdoyA5SqOEad3lfp7qymL0UeCFR9D5q1J7t1T3fryma7TdbMFlQnEXTC/NjvIMiPN0nTgffuBhQ1oK6xec188ySkiU8iU1y18PawbYb1iNMmdUJKriROPEquZtM6GB+O8zMeuxYQvaJ8fhEyk4ts2oFmuaFYrkt0JyOMs/wDDay6XEXWbaX3hxAcLdAFqJ0BXbY7MFmjdf9cSOieitDVH/eF9nJAD9LVt3SjePfEB6ewHtZ6wCx/gJqo4jVTKX/8TIVT5/rcWwiJIyiqJ2un5m/k3Wv/LHqgGOTg/Z/XDiCvqYkPOFLpomzYr4/nVGX/roh3vaHNhY95xFnuHZMJRShkUVUpNNYIJJak2P66dIVCaz/4iawUuX216Gv0syx3j+1TBtvbkfOB7vygLMfpDpV0wZ4HrxuPEFcDPQPID7FKMkEQQbNjWGkkrDYz2mF+crKx/T1HFDXzbszQCsaGFFvXK1ytCSPD8qohsRa9f1tCYzShQoKQhg0TCevHA3wvycHdq3l2bQm6Nc/8lN5Gp8SVmWHitEyaKQSQqUJVyFolWXcYoavNdjTFwaz9sTFXd4/Ny/UheWKSA9xYQVIcBx4lijRljbh+7dmY38q5u1y723TSA+15JfPk0nUSLs4q/t1naoQyBzdCD0zNF+8zIEFYM9zwJ0043MhO7KAeRfRkxmZNy36Qgxe+KUqijCIzmjRz8LKUv/HeNp9+ssyFGQ0yBZGSCIdACFSXngzy8SICcwNd6X182/9zV90XFcdzd12mRNGNzHsMohCyiUJq3D06vA/4/q7dP5ezWyzI8ZQL7cLY0uqkTC8lXFwwNMMs76APALznplvQJykMZVdwYUGzblwSR5JVNJMTGn3iYomg7bC8moBIuXDdEhtBI3HpxKLHf2DA0KeIAtbm2gBPWLaN5smI4yiUWqvf7lOTrvCpf6S2O3jy8MA0u+vkp6K53Ta6ytvLQeiw3PBJUrVG+9I/7WEwct+QaA7y74EEU/X8+BKaseE3Pl9jesHLVV7SQUjZLw0OcO7ezwM71doKyuDRU38K0Ad4aJcK9MHdbeH3o3dvGEIqslSzcSLiJ9/d4pd+z6WR5FbH1kgioXMunnUt5G5MNgdpVFFSNEWFfCC6WpsDb6mVH8dtrOj5PObWeN3dl36w0gXwdfcIxD7Q1ypAB6J48V1LnuItd4cILyDLErCmxx4Gc5x84CI/azSIPMJEUG8r4lByYItl4zqD3rIuol5PaS55RGkVYWFmznJ++v9P3n/HWZKf9b34u76V00mdpyfnmc1Ju6tNklYJJYQkBDiAjU0wDtjXBoy519hcwMDPBoMNNhkFJIFy1mq1q805Tdid2ck5dE+H0ydUrvr98a065/TsCoko8K19nVf3Tugw/amnnu/zfELOSiClafJwoaxSs1cjO1OHyaZK15R3cGXdoCivzIkf0FVLcJta6RxVVm2ZVpYNrCeqballxix1coJYUAiHJDUII0GaD3kLCvKRN2AsXgZodVDF85G+W7Ylanmw1MyET33J5Hc/6RPlumxPFLU8XDIUFY9wTy4fCQ4leKNzQuUbgrsqoKNTjGF/Xq3sC/I8H2w3Byv8XEaBW1rKD7+3x+FTBn/4RdmLg0qmCAJFyBs/Gx4yB1xxZbhkGR13FqO9biVU0CBRExItox8Jlhd1LE3DM8EzcmxNkdbUehlTOGg5S+G3lg+qetWiDligamUBLb9G11ZpuDWmxyxMPR+MfSufFlFKIwsgSVVWegZHzuicPK+gZxDGERcWBYki0DQtQ0EqJkwrYKKV0o914kjG0+Xl40wtv9mhv8jQldUypLtplJQn7AEfpGxDRqO09aH+cdTQUoJb+m3bVoTnRGhqyJGzGRfaCl94wuPkBRvfstg6oTPdUgfegWp5AJWOWQWaqMZRq6cm6sjhsoo80USGJqTX4NIyfPrrDstRBW65udSE7L01ZXV7crkI43Jm3ADWo7PeV7Qnw1HhKlZfXtFWR6m0IzxxIVuVPNdIM42akfHuN/T57KMOi11VgjwXw1alegJXah+GX9xoHpIQVUvKwH3A0FV2b0lZP9ul5rU5PZfxlSdtzizZHDjtsSAM6pbAMwpcvfiGQI/KpDjpMpYPaBcDsJfBVd1+wUvHNY6d1bBMWUQrLA19GYuyistD88XlhKPzGWOugmFCgpAj016g0g00Ftoai2ct8lw+WibHpFtsRVofVOHSAcrSwXNyfCchK1L2HDZJM/l3NMGIO2vxyv66AreRlhVbMgttK8Z3A3Qt4MjZnIf26HzsgRYHz/lkqY2vCdY2wC0EpgYNvxw5Fgoo+aAnVqtKPQJo/bK2ZLR6q2qC7qR86UGLp/fb0pJZaCA0RHW4HNlaDl/FK6r3qhHhNy3i5bp8ZFRYtSiXiyGK0UNnIVBH2pU009DylNdcEfO2m/p8+Eu6rDCooAhiRaOPgpJVg4LRcxWIXBks40ZvPiHkbqLua8yMqWyfqTEzoXDrzi7vvaPHsQtt/uQBiwf3+Bw55bOsWviOwNeHQLfKM5ZZtiyGXhAPpmYFhibINTAoaRiagqKEvHA0h1xQsxVce7gI1EeeAFX7q2sFTVfh9VfLadS5+Zy6nVG3M7TzizqdjobvKlyxJcK1E9JMZ7GtkWTDGeZon1zzUhpeRFFE6GafTz9q89yhOpunoFHT0LTLA5vykc1WXgJatiLyFVP3QnQt5PSlhI8/ZPK1Z5vsOdIgSmxarsJEI2fczRirCWyLgYlkUQwVLNX2Uh3ZWg5fI6NBVfoqVtMTU084dlrwwS+5XOwaspFUNFBUNIVhYsNlr1f03QMR9atX71e0KFWbcpl8bVSMPKzmci4+qOSZSiYy1EwlFzL+ZNLN+P63dXlsv8mxOSHjjHNBoShEqKsoAwoM+vHq+0kVUEsriWr0XQ0H+qHCqYsO/UilWTNp+AFXbuix6/v77Dk6xwPPLfOxBxscn/PpCAuvAnoimYFmWdWNVBa+VFMwMoVcL0qlkPzafAe2rA0J6PH5R00MzUJkKg0XarakdAzHj/KGSDOY70GUqzQshelawpifMNGM0eZ7EuDzy4J+JE0PG47C2smCmbEIz02xjQTLTPGcGM8OOX4h5fAFuP8FnfOLDhfnHMZtuRVThfwGLFMGqlpmVoY2ychrw0ix9BTTSLDMGMeK8Nw+L59Kuedpgy88OsGzJ+okmU3LEqypFdTNDN+GmqPg2TI7R/b5w4NlJaR4ReWulDnqsO8eHQvqekyU5fz2x30eed6Rjykh/ccVUY0Gh/4rYmR68ooD5qtV8hGcv2JU+Grz8JFePF/VmhQjNNq8/D2VrMgReclTSTXuuC7mh767w3/6bZ0oLXtFFHIgRB1qICugKwpKNtxWZhnk6lBALqcoBWEkWOmpqKpBXkCcqPQCnbpncf3WPtdtDXjTzRf5/GNt7nmqxksn6vRsE8cQ1IwCTyuw0jI+Ji1I9WJk7JjJ85whylbT4l23BNy4Y5nzSwX3P29z9pLJS0ctHFPDt8A1chwdfBtaNYXdGxV8PyOJCvQioeFl1LwMTRQ5WVqwsCJQFYOmB7OTOdvW9ZhodgjiGMuK6McpH/iayUJX58g5l1PnLbJEx9U01rVgpqXi2hqOpeCYOa6V41gZtpVhm6nsr02pTK/6bFMPWFiJ+K3PG3z+8TGOnq3TiRxqtsq0W1AzM3mIKSO1PUfg2CqWMTTvqeaqFddE2hxX6vghuCtl/GDercnUN91MeeAZnc8+7BBFGthV9RZoirSSGwajfqMqPipyuHzu/eqi4wrcg0qOMhDdjpKvCnFZMkIxDK4SuUAtZ+IySU3FcRTefUfA1x4JuO8ZlYGVa3meClAHRj1DwuwIx1spQ1vLiJk0K0jSnCBWMAKBKlSKwigJVlIvGoQ6nm1xzeY+u9aFvPeOi3zxiTZ/eG+LC22fIDHpGQI/lU6zdhkKm+byhpKLJfmU7QYa5y6ZCKXJ9hmDqzf2eMM1fY5f7HLsvGCho/DZhx3mAhMz0zm9rDHVk49wJdNo+jk1J5RGrxRo03UgLMiKhF6a4KgFl4KY8GxIcCLmY/daJJmLouostXX0QsExFFqGQrMJDVeh4ak0fI2GL6g5Ob6b4dsZjp1gmwm2mWKZCbYZyZcVYhgBf3K/xm98vMXLZ+v0CxfX0FhTl3Harl6mDpsKjqXgWgLXViXATYFlDBMYKhcqQxtxotKHXoJaBe5y1i3BnaLpCe1uwZceszl0wZAr+bL3VkqAVxmRQ2eu1W3J4LBZ9bSMzmi/2a6+alFk87uKPrtKECFblqxQRkCdD3pwtXwrCo040tg+lfC22/s8fdBgJVJWWazKSi7IkNTX6lFSTVhESdBS00JyTZKcKC5jxIWKosjcpKJcuCWZIElUokSjH+t4tsmu9QG7NoS8+84z/PeP+3zsvhZLiUvXMPB1WdHjVEbiDOxGyEFJy0OuSpJYLHd1mr5Lw49Y34rZMROBSHjbjQGqukKSp/zxvR792MK3FDQdXCdFVQuWOzpxYaJtmumz0gk5ci5hoqZz9JzGUkcjiB0KBCqS1WUrMDFWUVrBMQWOJSuq76jUXKi5mQS3k+LaCY5VAtyKcKwIxwxAhOw9XvDR+30++0iTc20fy9CZMhXqFSfckMGstiHBbZsCx1JxrCovHixz2Nsbl01kpL1xilGa9VS5M6oqQS6E/PWcnA992eF3P+NRICcmVe8tFGXYmlQ9/mBqMrLcEcOWZFitR6r2N6jeo29XtSmD/nsky6is3kUupP1xOU0pilwmqQ2qeEaaa6hk/PB39jl6TuN3P6OSZMrIJ8zJC42o0GSyREUyLCt51YJpAmJRxaXkpZilzAJCLZ8iFVVW7kOSVBtYqzmWyfY1AT//j3vcvCPkw/f7vHiszkLi0kt06qZCLcuJy2qeDUahCWmaE8Ua3UBlaUXg2gaOlWObGZaZYhkZmpHi6Sk/+raMAtlCLXVk4JVjdTkfFFy4qKF5dsyYH7NhWuC7Fq6hoaQFS52UKJa8gWozNUxDKMeDpoJjgWcXuLZkebl2UoJb9teuHeHaAVESsu9EwZ9+3eajDzZpd2uousGYp1AvE4dllHYZylqmDctIbRW7BLhjgWMW5Q0gQW6VI0bTkE8Ks/Tvrswy5dsMRdYtCXAj58h5lc8+5NDramDLNbd8iVWHy0H46au1JyN99+oDpnIZ//pVDpiX/U+xCuwjEjaxenU/aFOqil4ugWTbopImKp4b8513BtzzqM3R80rJgS3kTrzQQNNIVI1UaKSFICuq7XN1uKzON5XVR45QqluhWjpBmsuY7iRVSFKVOJGeilGiE8QGnhXxA28NeM+di3z8oQ4f/XqNw6fqXOw6dA2dugm1NCdKJWkvSqTRTy/IsW2BYwosU2AaGqauYermYCpXzcjDWLC4olDkAY7dw9BUOmTExGhnFj3CtMfasZh2aDPRiLB0gVA1FKUMZyoN4iXQ5ahQZkfKA6RjZThWimMlOGaMY8fU3BDTCIiziOeP5HzyIYsvP1nn+Pk6mmPgOjIn3itz4i1dxvVZOtiGwCwVPZYpRgBegtvKsUslv1W2P7IFirEMqSAx9RjbitCNhCzLCOIc18zRTbkuCxOFrz1l8fXnLTBXg1tBVu+hW+xQvfPK9mRkE2s+2QAAbZFJREFUcrJqPfhNt/WDFuUV/PDBbHy4ti8uo9BW6vtcSMahWigUuUqRZ+RCRvy94bqYN9wccOaLgiiWDC7NUHAthX6kkgQ6hW7SNw3SQiUrhgQ2kFqdKnj3lZpSQVEIhlEoyiD/MkkF8QDsOlasY5sGP/zOgLe+ZpGvPNXhEw/W2XeixrmOTbuvU3egFhd4UY4bFjhmitVDqrr04crfKCcnEpMapqEglIxzC7Lv3mjrnF00WL9R0GwoaC+c2dz2lPCeK7dq7zpwIiKI4dKyPHCunVSpuXLcZ+ivZOUZeoZjyqptmTG2KTWaRRFxdjHlxEV4+HmTD36tzoVlD02z8OsqvlbgVRVbryKyRxQ9enXXCixTxTYFtgmOVeBY1Q01elPJtOGqx/ecACEiTs0VLIUFL59UeW6vxXW7ErZvT9k+k/HMiwa//AceWV5awypi8FIvm5yMGvq8moPsq1bzbwHcl5f0gtGZdzHCKpQChKxU2FSKe1H24UX5kpVeAi/PBZqW8tM/2OXYeY3n9udsn83Yti3lup0pz+3ROXzSYDE0OHnRJY5sli2TtJATlwELaWDimY98jQV5oZUz+ArYlfBBlC8J8DjRiBKNKDYIIpPpRsiPvD3gu+6Y5yP3r/Dgcy4nznscX3A4v2JQsxRcXeDoBb5V4Br5wGZPqxaIJcXa1BV8R2XtVMHaqZRemLLYzTh2webuu+x7XnvHeFu7cPTTcyB+Qcnr7xJ0UbHYtU4wOxHTqqf4ToRlJuhaNqCsilL0YGgJ/TgjiFNULebIBXj6oEo30nh0j8ehsw4XLrkUmoHvCXwdPK3A0fMy014uhCSoS6naSEa8ZahYpoJtysgLx5SVexW4rRjbinHMCNsKsM0+55dSPv+YwVeedDl70WRuReXieZgaj5lpJbz/LX08q+DkGQ2cqp0YNtTycLlakvZnTk+qXvubEU/+bHyX16i6Z9S7pGRPDgTJyqAPr6YqaiFGfMDln904m7FjQ8KNO2K+5y0Ba5o5k2Nw/g6dSys9Ts8J7nmiw+cf8zm1WKNTOGSFNgB59dXJ//IBdVbqRtVS9S89CmUVl++nqSBJ5AE0SVRiQ8MyZbqyZVj4VsS/+M6I992+wtFzKzy8x6IdaTx5wOHknAWKxnJbJw01VH14NpA2JDLU19YVPKvg8DmV2QmH2YkYRQ24ZovBvv2HfmHP3oNz2q07OhQIdDWiKPosrSQEqeB8J+ZSGGMa0thF1cpsw7RUxSqyqj97yGTvyzaF6nJuyWDPMUsKizMVXah4PjiaTBy2tXwQrmq9Ika7ShgWWLqKUQqPJbjzwUuOHofgdsqpTM3tY9k9/uQ+nT/+8hgPH6zRi2xAAxWoJ1zsBCxdCOjf2eetd0W8+60Bn/66K39/hB41iEUZOVQOYvsuX/IM2u3qvwFOv7ngYaRNGbQrq94fcX3NFQpR9t2VIKLIB2AvRlqXojLnEfDJeywee9Lku94asHtXglgx6Sza+LZK0yvYPpvy2t0hb7094kNfCvjEfWP0Mo+8MMqPl5eC5KJ85WVrkpXGUJVWVCn78WE1T0qdZpwKrFQlTlXMWCMyUoLQxNBTGm7CLTsTbtqeoaoh+47FXFhSEHrOswdN9hyyUI1yP5BDnlUJI5LYZxgKmqrSx+DgeUF7GXxPw/NLRc94LcE0FM7Mp9zzpEEQuBhmxt6TKkFk4ZiyB1IVCFNoBzlBIimGmqrQDzSivjZIU1hbG5J6tDIVrWKcmaUft6nJoFWztIUwdZnNYpoyGMoy5BjQqg6T5QnaMSW4bWt4iHXMgHqtx8FTMR/4qstnHm5x+mIdzdGp+wJdTrUIUp2wgLuuX+b7v6PPto0pP/pdPR5+weLSSiFBXlbkVX33ZUB/tU2muAzMf5FCXgz+5ujqfkSMLFZX7jwvBr13PlK5K6tpVS2YWxL89qd8Xjhq0/myxs27U16706Qb+ESx5BrpWoZlxLz+qoAd0z1esyPiA19tsed4i9w1ySo32qJqTQqZ0pYrw/TqvCDNVcnVTytlzrBlqfryJBHEhkaUyCh0Tc3oBDKuRp5fCtaO52yelm5i123M6b0uQNNSQBBGBp2eTRTrCFFgGCmOndANBfuO2LiGoBNEPPKyyolLptSBHjldQwiFfphy1cYATYs4dC7HUixcU6XhKTgl8LpBTr+b0QmkA6mqwbRdYNflKl8alktP7zQbKkMqiqypDeOzzbItkeGrMojVNJXBGNI05ZTEMvIS4CmOuRrcrh1Q8zscPpfyH363wdeeHyNXPfy6Sq2czJhlTmM/VlgxMn7yH4asHTNJAo3rt6e89/Y+v/0ZE4xqTDaSnDBqDTGQxTF0TVVW7VFe1Ujyzwvy0UNnnssbLi8V7pmiIFa1KJUIouzFy+qtUKAaOZ981OG5Qw5YNscuqvzCB3U+8JMB3V6dMNbko76kTASRwVgt4Ee+s8/ODfP8xG9mvHi6xaLrlOPEvFw4jaQU55CXlTzNisHyJx0AXZQe8iXgDYGZ5pi6INaz0g2tKOVqstXJC2Vg6mkb0q9SV6RzWhjYnJ/36fY1DL3AtTKatQRESDcI2POyhVA8Zn2VmVqGUuRos+ttXFvhxaMxz7wQ45sF5xd0tkzpTDZVGr7Ad2G8nhJnPf70QcjPWoz7OY5ZkaokQ0wRcnDfjwqCsBihs1bKeQagHlRuQ5WtSQXsksNimbkEuJlhm3IbWtFnHSssD5I9nn454xf/eIx7X5hAM2zGLIW6keOVB1g5dpRPl52bDaZrY7Q7EaYZUHd6vOcNAV97zuPoBdnNCIaz76GAYvh2VKZ2Of/7cqB+q9crKn65/BnMwnOFXIFcGSp8RK6glodNbaRNqYyZDp9S+eR9Dgt9B8VysTSd8/M2H/lKxo71bmneJKdQtqkRm5KV6Dkad1zV47/8yCL/5aMpe463WAx8sgrkg7iTMvggF2VqcjF4pWUiQ1L15FlBapSgN+SvGZkYADzNBP1AoxeqpKVAQ9eKwQjYsVLGaiHH5lI+/VhKHimM1xR8R6PhG0y2TDZMBJgqGGrIfOBwqWejixTt+hu+C8P0mJh4Dl/9HJ3+GFvXGliGoOGntGoBdS8gTPt86Gsqh07X2NAqaPlyu2ibsrUwS3uHLCu4cCkmilM0pLjYKG+CqmpXufBV9ZbtSjkmNOT40TblN2dV4LZiHFOO/mpuj7zo85uf0fmNT06yGDaxLJOWWVA3clyz3IIa4FoCzxG06jqbpw0WlhVU0aVeKNhWyngrZMzPOHpOlmB1MB4c9Vy5nAevvOKw+U17EuVb/D1ltYytquJZXh5qM7lsEUqZn5PnAzFEldygqLDYFSwumoCFZRhM2wXTrsrR0yZCMRivF/huimvLQ2CaqmXSsiBJVe68tstNu5f49U9F/Oanchb7PmmhkRVFOTMvpWx5TlqNCkvgpxXQBx9PEqLSTMjqXv55w1DQVXmOWFwRnJuXHP8KM3JyluPZOmkq2L1ugVuuusiHv1rn0HmTpiNoeYK6K7BMiyjLObeY8N3feQvvv+FqVjpdtJW+iY3FfNvmqQMm7X7O7VeE7N4UcG4x4mI34eh8yofvrdNZsdk8rjLVUKj7Gq6tSpBbcoTn2Tk1L+ahfQn7TqqMudL8Uk5HlFXTkSoX3jTKQ6dRlKQs+dYyU2wjwy63oZKYFVL3eiR5wO983uRX/mSSblrHtXXGzIKaUeAaBa5Z4FoKjqng2oKap9GsydTeMNYIYx070cgybbAdpNT4yfl36aky4rMytGkbGvlfXr1XCRguYwheRsH+BgqgYvixGK7qpb5VqiqlgDhHKGXMn5Ag0kqDoKGtmoIiVFA1bA08PccyCtIsZ7GdIRSNLNeGc+yB2eeQf15zVX7i/T2y9AL/+7MZ7W6dzNFJC3nDVXwVudEswZ4ppGkJ8PJtlopyVs4gy6diK+pqzlgzYM/xkCcPWDQcBccS2Fa5KbcEviMIYkGajfPanW12rmvz0ftUlgOLJBXsP2Vx5UaFW6+OOTsXMjsuGG9oWJqGttjVqAuVl8/onF9QuWlngWl1+erzKV95QmduuUbD1mg5CmtnFFo1lZqn4jsCzwHPzvHsjJqbMDPex3aW+NqLNstBiwlPHiotQxnMs01DLUeBjLQk5UZSzzFN2XuZpmQxSnBHuHaIY/c5Ph/xuUctfukjUwRpjZqj0zJyamaOa8hF0BDcKq6j4jkariW5KwrFwJI4zwVV2gGlsnoYDz4MmB1NT14dVVLSlJRyXKwMzXMqjWXxZ5TuVXuhwUF1eCfkORTKMGZEfjwpYqwOvakQqJlYJYiospKqub5RPo0opO92P8rp9AsURQyeEsMFEoMDa14I6p7g339fF8EcX3gk4eDFJmlukuSCNM8HyWySmAVmVpTjwmL1qzyEZjkDBzRVgG0q+HZMoYW8cBYauslsU7JH3ZIK4tkq7a6g3bUZaxtMNiN+7B0BNb/PfDvl808knD5r8dIxnV3ru+xYF+M7BaaaowmhoaruRc/J7t21VX3TiYsBzx3y6fRUpn2V7ZPSCNOzVTxHKYFd4NkZjp3i2SmtWsR4o0sv6vDFp1UeeM6lYcu2xNIVrJJLYpkC2xBSpVGu5c3yIDlYuRsV36DcTJoxjhXgOX0e3pvx//5Rg+dONokzn5qr0jJyfCPHNRmSs0ylvPtVXEst+SySlFWleQ1gPWgxVLSSf6KPVG9dLaNPSvV4JcMb8E1G+CR5AUpRoBSUozxpojMA/Siwy5lutQqvzIyqJ8MoRzxHQcmlTlJ+jLKSlxW8iv/OsgrglbHgCGewGBrLh1FGXxeoqooQ4hX9/yhVoCgUaq7CT3xvj7fddoH//EcxD7wwxmLuEGeCOJdhYUnJDkxL8bCZQZplg3Yly6rCUt6AhQwqsBJBp2/ypmt7nLiwwL3PNth/1mHCgzEvx7NyHCvFtVQW2ypziwqnLzr4jo1rN/GdlNu2x3TWZVxc6tIrPPqJcq9luheTOEC76eotPPfEB05etd74n7V8/ZtOn36Jhi8IQodLyxp5oWCZ4DsFrZoEtGQHZthmjO+E9MI+X3sh54tPO+w90kRLTcbHs8Ed6FiafGsq2GaBZSLbkAG4sxLcKZaRYpoJlpFgGSG+E+K6Pe57TuGn/3eLPcfGEI5D3VZoGjm+WQxMOytw25bAtuR6X25BC8yRbaxa+ZiLXHI0Sv63oUr+iS4qUFf+LMogflArHQJQimESQiFXIUoJxNHJhwTl6BqHodJnBNCV3UVVmQeHy2Ioy8pEmY5c5OUoVkjj/1SQqurA+SrPNMhSikJyUWVLoZQmTRCX3tryiaQiFDFstVYp/YfkL88RvGZnl//fjy7wU/8742vPtGhnHnGhEecKfiZ78SodLx1MT3LSsjVKM7UUqsixphACTdUw2ibrpnz+xTuXuf2qC3zlaZeH9zY4f9bCsxQ5MCif8J6t0PQUfEcuBfNC5VLHJEwidE1n167dPH1A/5+P7nng5A//w++WRMpzcxqK0AkihalWxEoflrsWM+MFdS9mshXgWn3OLWYkeQ5pSpxnhGlCL435vS97fPaRceLYYcZXmB3PabgC3y3bA1vFtZUBj8QaEKUyTFMKIUw9w6oUPmaMY0TUGz1OXkz48CdMPvFgk0Nnm+i+Sd1QaOj5oN+W7MNqMSSwDVVuQQ2BZcl5ulxYDUOmDC0jSzOe3q9z+LwFhnQuHSQSVOCuLOYqBYkqR4SFopBnBUkhQwHyQvbQVQyOoiio4rLqXVwG7mozN2IzN/ACLB/naSoPZQXyYKurxaDXlzeGWjrp5nJEl6mEkc7mmYAbrwzZfz4lznSSXPqOxGkhzeLjvPSHkekYSgnygWKdUaDLnjxNBdtn+/zqj63wiYdCPvyVMY6dr5P4JqEhqOUFjg52BokugW7qJdAz6VKVZjl5ppIXKgWivEkNFMVjekzwhqva3HZFh8882ucPv+yjGgamqkqKggrtTOHIUR3b0Jmpp9RdGG/BpV7BuXnBVRRMeRn9UBLDNIBdu3Zhmg5HDsW8uPcw5y5ZuJbN7GSP6YlLPPpiwal5lcf3aix0DCmdSmIUYYJucXbBxVY0NozntLyChqvguyq+q+E5Kp5NKYAoJEnKqFQ+JQPQyDD1uKzcMZ4TUhBw79MFv/NFn/uebtHPfBxHp2FArQS3bawG92DNXzLQ5JOinMzoVcBrqfLRUwoyjp/VWV6y0JtVJEk5t69epUOTJPwopU5VPtTjOF/Fa67cnkBW4SxXUMsWZXjSVFYth6qtaRWIpamyXZEUVFUmbSQSaKoqI2TkYmfIjVGFQE8FqSbtJKJYY2JcsHE2xlBiotQiyhTZSqQQJwWRVqDF2cCvRHrXiFeMPCuk52WWT1YINs/0+XfvD7h28wV+94sBD+xpshS7RLaGlyl4Wo5T3kxWWpTGnJAYGUl12MwL8lwrTY60gaFTP9SYbFq857Vdbtu9hGYkKEKQxKaUUq7AI/sMTs1rPLHPY23dYN2UzqYZE0NL2bRuLes37iIIwiHA181Oo9szX3vmmS/98pELzk95hmDHpi6nF5f4rS/ZnDpnIXINQxWMmSphkbD/UkE31GjZCjN+wZibU3Og5gpqjobnrj6IViQpq6zYVgluQ0+xjLjUZkbYZsillZiPP2jyW59scHqhTm7Y1CyNhlGStPSKLivBbZnlqyRnyQOtgmWWB1i9emWYJbh1LaEfpZxfdkE3MISCpZZb17J6j87uzXIKZOjqAORRnNHuJSz3JAp0VarHoSi1jCPSr8sPl6PpbCW4BzehJjeHcWLS7qqEsWxl9HIDXPlyK1R+jCpJmpNkKkmqyujB2GBNI8OzQi4GLkGqEaUKUQpGMhIGoGZSD6moI/waMYJyZdWWNM8V8kzg2BpvvrnP1dsX+K1PBXz0gSaXlnwWDIuupuKn4Gk5VgJ2Sc+IEhk/kqSZbGXSgjTTSDO1VAeZxLFKEGo0awbTzT51r0cvyjhwrEUS+9h6zttuTFCUkLfcsMQXn7A4cMbn6k0KN+2EheW5X969e+fXXj5yXh5kAf7fX/hvrF+bJFkWbD2/yDtajTbPH0v47EM+Rewy2zDYOG2wbZ3BTbsEr79+iSMXc8K+yYZWwYSf0/IFTV+j7mvUfZ2GL2j4UPcyam5GzUvw7UrXGZc8ccn885wA3+0R530+eI/gv3yoxkfvHWcubKCaNnVT0DQKfKPqt0ujfFMpJzSyNRmA25CjS7uah5cHFceSyn3binDtPk+/nPMLHxknUVx8U1AvnwiWIV0DhuNN+XEtQ5MHV1vQqClMj2WcuNTjhZMqAsEgo12p3Ahkzy4tEaRqfNDy6NXTYYR6bMqlRs2NmB5b4dR8xLMHDOK4dOwtKr7MUBC82qtm6OolRMbW2ZBHXtQ4dt5B1XRMIY16KqfeVSNPUaXCXc5jX20TVBQKOdVhVqXhKNx+fcBrr+zgWhGHjir0AoV+JghyVU5bRr3E8/LAWa35y/fl5EWVG83yLJGkGoZWcOB0zq9/qsm58y7LHZN2xyaKHSZqJndcFaOZAReWUtZM2Fxc1v744cceePx973rHsIID3Hjre7Eti7B4hPsfeRqBz+uuVBmryylEzc1p1ULWTKxwbL5LljaZ8gom/IKGJ0eHsnILai54jpStuaUIQiapST2mVU5HVBGTKzFzSxmHTyk8uM/ltz/dpJ+5YFi4ukZNL+QjzyiwtCFnvGIgWmY1X1fLlxxBmgPxxFAQIdU+Mm++GyV84Msu7Y6D5as4qhSh65VT04ils1mC3LYErqXgOwUNP2PddJ+ZqUWeOOpydqXBrC+ktlAthtnteTFYb18+B6+cAFQ1x9AKLCPDtWPGG1060QofvH+K3mLKugmpfslzDUrhcPX3NVGlOgt0TSXVJDDC2GC8ofGPv6PD3kN1FmOLQFdwUgUjkd/nwHFX5KgiK5dXYljFR2fyI5OVbBB3KIXOpqlxy/aQG7etsG485oF9Ni+fdLm06LAYmywqOq4hcHVwjUJOveKCKMkI45wwkfHwUaIRJoIo0YgTSdQy9RxDTcnyHo8e1Fg7p9LyJE3WsWzG6hZrJkPc9W3WrNnOG9/6euI44Gd/6j+uBrjrNnEdhzSXqp4rthTMtLqM13Mafo6mxcwtx3zuqYKvPFkn6tqsHy8Yr6nUfU0C3FWouQW+k+I7GZ6T4NnSEsK2InRN5vksd1LmOhln5uH+p02ePWLx3EseITaFbqKbKq6m4GtlO6JVCRDyrVlygUeXR3L9L8rZuqyKA82mnmEMQC7VPpfaGSfmbRAmliqwtHzQmgyrbAXy8sBqKjh2gefk1NwEz05YMxHzjptifu8rPjVLk4SyrEDPhzbSoyPCqkUZBAOIoWDa0DMsM8F3enziMcHeEzaTpkKnLyc/QmSDXlmUXjW6KtOc9XIDGacqRipVNUlqsH4ioGH3mQs8uqmBmyKtG5LSlCmp/LqriHVl8L6CWN2QD+RzDCMOM3mwTRIDU4/4598V8SPvWeb5Ax2eO6Jz39MOZ+ZtFnoW8x2LpUjDESqeAS23wDcLwjgjigsJ8lgjjkuxRMlnmp3M+cnvafOlZyIe31/j5EkdXWjUfYVWrWDtosKmaZ1Ww2Z8bIw46g++5AHAt6wVoGlHr9+lHXt+v7n5C0/kbJmyuPXqNsfnu5xbEtzzpMvZOY8JR7BlEsbqKs2aTt0T1D2ouxm+m1BzE2peRN2TNNblXsRCJ+HhfSpRovDYiz4P77dJC5X2skkhdISpoamykrpagaPl0ktDo3RKYgBuQ6/44yULUR+p3DqY+nD8aBrZoHIbpQeLKkK+/JjJU4d8DFvDUcs8x0GGfbku1pTBjWMaiuz7TXlQti0Zy9HwC67ekpCkKUGqjWgMy+pdheMOz5ir9JzSUL4KxM0wNHkW2XfUYamr0tQUgkh+P7o2zAjVBu2Oglb6c+uaGIA71nU6PZPrtoW89fYOJz/nEyQ6Pa0kPKkFelK2K0mZXzkAtyh3A7KSy1PFakVRtfWs2oqBHjM2MbSE1+yMec0VKd/7ujZ5scyj+3Uee9Gin2g8ttdnJbQ4PG/RsAUtp6AZFQRRRhBV8YAaUawSJSZRorJuSuefvmWFt96wyFee1jm1aJIlHq/brbBuos/cis6xef9Yc6F2NAyVVwJc0Tdy+MVP3Ts97n/kpp1j//esdxbDEhw4pXPPk1NkmYFv5lw5A2M1QcOX6++Gr9Dwc+puiu/GNP2QVj3AMnv045BHXoSPP+BwbqnGEwdcstQoFwxylGD50gnLUMBWi/KgV1JrR0wdTQ0MQ5FU2zLmxCzBJ3nkCpYOhlHNvEvTIT0bZMUYeoKpR1xayfjI/S0KbExNwamMjUYmJwNTfm0o2ZM3UHnzlHRPKEiTAvKUqNQoDohIg0z41RW86nEHXHNlxNOljDDU9ZyCgjhDHg4TMBOpWxxYFQ/ArQzpqLpU0xiJFBcUhcn3vj7kkw92Ode16aWmbFNUBa0EuCaKAcCHrgHDQ6cUr5Wb2TIoa9imyOVNkqromoauZURaSj+yUIVUfilKwZtvyHnHzQlpHvPkgYALy4I/+brHs0d9ji/bzHc1Jjw5rOhH8hWGGkEkbSm6/RrjDZumH/F9dyakRcjnn0w4dt7g2FmXtWumcEXtI889c9+9//D973wlwAE6fZu6an/58FnlnVFfvaa7UCDw+N47C5Y7MScv6LRqGs2aRsNXaPo5dT+h4SU0/ZCxeg/T6LLvRMoj+zReOlPn6UMei4s2pqoyW5d9LpSMtHLCIEr+h171wGVoqzEypqtotqNMRMOQpK1KOFEJUauJiVFNTvS0BHiMboV85qsmew/7qKaOU/HU1WHlli8x4nc9+vGL0iJYglEo+eDZnY+0JUP7tVf2KNUUpdpGKoPEg1xaVJflPi8gzqQBapzIUVucyM8f66JMVpCcaz0pBhU8Hrw0+oHJNVtDvuuODr/9WY++ptNLFMzK1zstBhQEGdYrQV0p6CsBtXwKiUGLUnFYKsmaLAbVnkErN8al6r/s20FKz67cEHH91oibtvV49nCPA2d1Htzrc+CIz3zXYMKDcS+nF8R0g4xuX6PTU1npmYw3dE5dTFju+GyYSSlqEUGssHNjvEer175c5L1RSK8G+PU3fQe/+mv/4bGZJs8GpnrN1fWI9TOL7D2pES9rNGsO66c1xuo5jVpCw4sZr4fU/R5C9Di3GPOxBy0e2DPGyXMuAoOGo8h1vyFlRmoZER0lBUGikJb2zKoy4kBbgU1ThsDTpbJfjsqGPXcFbrOq3hXIjVyC2sgwDFm9XSvi1IWcP7zHJ1VsbE3glDeUoY183urRr42AWxuahlaBSmqZ7lwBfChQWJ19WRnsDHSOI/MJwerobWlRXaZZ5DlxrpCUIE9SSKvxWpKTaCXPOmHkfYVEL8eFqU6c6OSZyT96a5+vPtnlyCWbrmpip6WndzJKCS5NLUU+ktg8BDkwCImqVP0S6DmpJkj1nDQVaKoq40kUSFNRthpy1q2KgjlVtng1N+LuawPeeH3A229a4JG9bT76QI2zlzwudk0mHIWJWkajl7PSE3T6GoqiYugxvTjgTx80mR232DQNh0/zbHHqS4/9m3/9898Y4ABrZrYghMLDzxzi/HzKnqMGCysm03WLq7YozE6GtGoRzVrAeKPLxaWQLz6t8KlHXJb7LU6ed7GFxroGNOy8tHhgEOqqCrkybndz6BZEqTKwQB4uWJSBa9UwAqOKOhkFtxiCW89LxVBpyayP9N56gmFEqGrEFx4zOHLKR9ENXBXsCrhqmahcpk5o2tDocRinUlXu0h5OyOBbRUhqXKVjHLVlG51EjOp2BpK2QU8+5McMM01y0nIDmZa9veR95OWvDeVhAx1kpYXUJQ020XWCyGTb2oh33L7Cf/+UT5Dq9FJZxY0qMLdy71Iri4hKoqqM+NEqpQtupSgq4wQzUa7iJdB1LZM3vwJRorK4YrK8opNk8mdatXmOZeFYLr4bM10P+L439Ll1d5uVaIlPPuTy8D6fPaccWr5g3M0Z82K6fY3Nay1u3AFbZjPSNGJq3MP0t70qCf8VAL/l1jeiCi0WxSL3PtIhT+u8ZgfMTIY0an1a9R5Nv8/+EwW/d6/FnmMNDp5wSWODmiXYWC+o2RX5SRn4mljVdtFQ0LWCo+cSzi/LHEJ9sFihtAUoQ6pGwqo0TZQ84TIDRhcDp9tRE/1qUbLaBCjBNmIWOikf+VqDXm5L4yJ1aOKuDz7n5TErDIJkda1a40uAi3KyoVQJva8A9GoK7ejvfmO/lLLnzSXnJCko1+yUHA9ZxWUlz2WMX6YQZwp6pqCnAiOVYt9Ylwe/OJG2DX/v7oCP3NflYsekp1k4qlKOC0tb4rSMChzxQhn240NTo7y8/6QRv2QLGtlItEwhBVJycpUwt6hz5LR0lzUNBdvUSq63hmNluF2TxRUL33EZ9yM2TIbs+N6Ql26dY/9Jla/vsXnxmMNyqrOSpsyvqMyMWVy5CfpFn7n+Bv7xu+6O0zT75gCfmRrDMN2fPDqxZdeVW87ftXlmgXPLBV95OueF4zaaYRHGdVYClTjQcDXBGqfAb0kClazW0rDHKQlPji1wLfCcAt/J2TjTRbH63P+iS8PQ8Mzh+M/QGFTO0cAqTRs99IlhmsCo7/ho/61V1bukATgBf/ApiyOnPRTNxC2nM4PWpHpqjNjzalr1a0PylTZipK+qsgfPFWMA8FcAV3nVwvINrnJbWEhBg1KkAw5Jmks6apKXrL0Boakoq/fwVQl9jQHIdaLEZPvaiB/6jmV+/oMegW7QU2UVjyuAVzGMaWWPUZrNi3JkyKjjLejlgVorvxZdL2fkJR3BVVMcZ4WD52Ie39dg4yR4dmnBN8CFKO1ANGzTwDZtbDPFcxK2TEdcsSHkna+J6AQx3dDGNgr2nVB4fK/JJx42uX5Hg7tu3/jg+OTsT660e6/4F30FwE3L41NfvLdD4R5a6Gi3Ly7n6tOHHDzD4q1Xw3KQ8eiLOjWgNV7gWXJdXnE1pN5SHRDWXVs6X/lORsNPmGwGzExc4uFDClnuyQmKVnqimMrAGncQcaGOZvuUBz+VYVLEKu/xymi/ij9JMbQYz4k4fBK+/KRLN3ewjWH1ltV5NIVCGbRDusqgug1DrPJBWoSuZZxfgM8/ImPMByKIUaB/C+BepcUsZGV81+0RX34q4UwnJxlkkFIKCSq+dS5bkrI/T9JK1V6UK/u87MWlL4lpmLzl5pBPPrzCS2csepqBnSnlQbP8Xgc9eQVuUR58oVx8A0MymJpRFoRKyVOp3uWcXFUKMvocmXcIE4PpekbNyfAcIanMtioFDqVewNA1TN3ANHJsy8GzU5p+hK7GvHTUod1x2Lwm5btu7/PUwZw1E3m2ea049NKeL3auuPYd3xzg1WM1DLo/ZtveTadONa+9ZbvClnURSRHy7CGYqVuYqkarJr9AUxclYQc0VY7spKVbLjearvQTH2/0UNUVvvJcyofuncIUGr6VDww2LVPmZFaZnFWExiDASlMGVXW47i5GXlVrkktwlzbNmhrxlad0Xj7hgWriaMhx5KB6M6zaIxkyQ3CXcYaDMNN8EGTVDQoOnNBBKAMDzmG4E39O+4hhbOCuDSl1J+HkckFSiGHQblaUyphitQ4yUwYgT8t2IUkEiaYSa7KKx4nBzo0Rb725w0unaoSpPqjiRgZxWvqrp8ogGl2kw0xLGUImiV5aDlkmFU6xwiD7NBmJ/DO0HNdx+Ad3LzHfvsTD+8fozBlM+QWNIMN3cpwgwy2f9KYxiiMVU9fwXIPxuoFhBMRZyIHTKfuOWWxZU2d2PMGxzX3dbufHar7/qv+mrwrw977jTdx37//KJvxWEXQv0mhFHJuLOXraJgx1phuCmqvRaqjUXbnGT1KFXigQijTG9Owc30mpuTGtesBks8PJuT7/47MWj740Th65bGxKgpbnyGpvGWqZS1/yIcqqVgG9iqHTyiiLwcRFzQeWyXJZkpYR0gmOHXHsQs6nH/BYDhwsT2CXEeL6qxxqV/XgGiPVfXVSr1pmrgszQ9clF0VVSpfZCtijlXwVyC+bshTDdLVKXxnHCnmcQZ4R5+pASFDZDqcZgyoutY+V6Q4DPxJZ3WWmZpKqhLFBq6bznrsCPv9Il8MXLfqaUc7FCzShkKgFWgqpWgxaFTXLRzI35SyoKN0FqidUxaQ0dEgzlSIHIXRU1WF2IuNn/t4yj798ht/49DiHzvlM1hUmogLfzgjtHCfKMA0VIaAfFiSpgu9AzVVZ6Ro0fJXphspd16YcPRdwaSXBtEx2bNxUHLsYZX/v9u/71gEOcNPN302SxOw9uMDBkxdY29K5/eqM5U7IxUsuE02NLbMR02Ndjl0oSHoetmli6rIdqZWz8alWF6GusO90xv/4dJ37nhljTU1jbSun4ULdE3iOim1p5SNK3sFFQZlyW5RU0SG1VB0cCotBm1KBu2pPdE2yFAsi/vQBgxdOuGCYOJqCXa7ljVXtybDX18r19zDvfiiUUEfyfhQyLiwKeokmyfuX+aWMgvrVDqCrf3do3pNmcvw5NRbz4lxGlEFS9rtD325lCPY0H05SMgbvS2tjQaIJEl0jSXTCyOTKDQnf8/o2v/wnHkGi0xcKlipBnqSsquJqVgJdKcjUvBQ9l19zLvndWcmHl+EHZUJxVnkdyrHp9JjKd92yhG/O89ufCdl7us5Cz2K2XjAW5/hJgWfLCHCUhDALeemQxUxdY9OMRhDB3HLBUldlsmmyY31Mo+X0brz2tj8xdPsbPhW/IcALUS8KEf7PHdu2/urZ8xfrQo05Mx9z4ZLHFRsUtm9YoVDa3Lev4Il9FtM1uGoTjNUyWvWIsXqfqVabZw+HfOVZgwf2TjK/6LF9Eia8jLorqDkCr+SMO5Y8iJqGXDbEqUK3rxBEpSGkMlS1V9s3TZMTDV3LB3zqAci1BNuOObeU88Qem37oYHoqdkWHHaneQ3BLhcywH6dMWh5GE2pqhijzNdMs4/4nTOYXDDRbGZllr9ZavhrMRwlMMuV42KLEqcrEGLz+5pCnDiXEuV0eLqvetxgy89KCVCtKNbsyaFGSTJSTFjHowysSVrOuccs1Ievu7XHskk1f03FzBSMt/00GWkoFLZNKolQtwS5yikL24nkhN6v9ICVOJTvR0AWhpRInpYwuHUZ090KNm7d32PQjXR7c3+crz9Z45qUmUSqYzOXG07UFV25VmZ7s8/D+Ps8ddNh7wmFHorNrs8KF5YiwdKBdM3vFwunT+3/jTW947zc86XxDgNc9nYvnDn5097atP7t//9P15w8qzLQcbr8qxbCWuH9fwgtHDC7OW0x4Bu6EjmUW1P2E6bEua6cWeWBvws99YIyj5+s0TJ2trYymCzVHDMQQviO1nlK8nOPY0tCzKGRvu7AsM39UVQzsyCpqqKaCqo0YglZg12Rqmq7FHD6tcPicA5op2YgjvJPhdGT1tEbVhqFbQ3CPTE+ErOCFyFhcMckTDeEpI6nCr3S6ekWXMlLKC4apankZ+KppgrFailqkJFlOlFc+I2XqcNWL55WCHVKtnJUP2pRqVq4OgC57cZNtMz22r+tzbC4iyjSCVPLhq6WSlg1bIlUtSu+VKo1h6HXT7sGR8zmikD45lqngxhlxrJUGnII41YljQZSoBJHOdMvkH7yhw+1XXuJnP5DwwPPjxJk0Iqq5Ob2+iaGM8/47V7j9qg4vHOnxwkGPxb0uN+3UmRoLOXbJZ2L6KmpenT/r0v6s3wyyDdFS58CPrp1Z+/EwOOYaRsBDL+YstlWOn7fwTYMr16qsndRYOwlrxiPWT60QJEv8yscVPvPYDEuLHpubCuNeRs2VomW/VLp7jsB3ioFpfs1NqHsRrXqHJw/BEwfH8PWCRk1D14YE/6r/HkYEFpLDMRI0ZeoJ/TDlgWdcjl500WwVu+S4vALYJaiHJCZGKnZ5uBT5gNqqlSBPs5x+KnscrYz/WGUFUZHxRvqVVSabKCNsQ2UY4Z0LSFVsLUNoMUWWE2fSMyQdVPKRnnzQiyuX9eJVHz6s4mmqEQQG6yYDXndTn4dfCuilFoGm42TysDn8mLLX18pDba6V21ghe+1WLWftTI8zKyHPHHCY8gRNNyeMC6JYVvc4kanUYawSxIIgVOkHOmN1i+nGCj//A10+tzPkEw9NcnzBKZdECr3QYt20ydrJgLfe0GXHbMxCO+HERYv5FZXNWzf3JuviRzdtmYr+wgD3zEv51M6NT3vu61eef+moGy4bmKKAVOWqdRqzEypjDRir50y1QtZPt0mLJX79Mzaff2ycMVtn63hByyteAWzPBt+RU5aam+C7Ma1awFi9zeMvx/z3T04hIsH2GdnjDVUyZQUfHDSHga+6msuoEk3qOh87IPjTB30KxcTSFNmeCPmqWpRhyzM6RRkeLFWtSm0bmaCossd//oDgS486KKYYWL0NrZSVAbirlvXy9mToB64M1t9FqYrvhxpve23IH9wT8siLKXGuyXHh4IDJcJpSVfFBb64M3h+APK02m9LSuMgNvvuugHse7fL1F10iQyPKFKy8IMkZ0H2Hn0t+niKXqyhNle3kljU5/9d7l/nFjwU8/tIY07HKRJwTJbmUxpVc7zBSCSJBP9TpR/L76wY6ky2Tf/7OJdZOnOdXPjbNwfMOUZLQ62fML2mcPOcwO2HjuylJnLJ+PCUpFO547R0r9bGNT585187/LAz/mQAfm5gEjEtheOx9r7vlmgdeOvi4fuCkz7a1KptmC6ZbAb4b49oJvtPnQrvLh+63+fKTU6yrC2bqBU1PGshULYnryLm4VyZCeG5KzYmo+33G6m2eOhTxf//RGrptn51Teak0GY0EL0eDaiWaLcqIwGEWvWmkdPsZn37A4uS8g2rrcnJS9t6XHypV9dXBvVoQUB0uqy1mSphAJ9BRLFEyAkf8UkZNgV5F57gqVY0RcW/J70gzFd8Fy0ghT0kKiEfYisM+vJyND6YpoyLfYpWdcUVrTVKNfmiwdjzk3a/vsed4yGJiEaoCZ/TmyOT3lJWhVFl5qM3Lg3+RK3T6BpvWuPz8P1rgJ38v4/ED48SZTpTmMrEhLggHVFiNfqjSD1V6gaAfCYJIiqS/44ZlomieD91f5/ClGnPdAs9KqNsJUxdVNq8RzEykPHs44dYbX5OopO9rNfxLpun8xVsURTHZd+A4teams85SeCxJjuy4ddcK8+0+/bTPoYsF7b7O99y1xFOHM/79704iCp9tYwqT9YKmr1L3tNIoSCphXDuTniqWDKly7YiG16fhr/DogYR/9ztrWFios3VcrvulJZwY8EEMrTpMVsuWvOyTK32hjAq81M44ctqE3EJXBZZg0HvrI4ud1Um7Q8LXAOSvFgsuygPm8xa5oiEUFb2K9x6dpHyjhLVRkA/yd4b007yUbFGovPG6kIf3xMRlHy5NdJQS1MN2Qs7DK5DLCVSijQRFlVVcKu9LKq2is21tQssJWVzKiHKVJC9Ke7Xy45d9uZoi/71TOeuOU4gShW5fY37JZd1Uwn/94WV+8nczHt4/SZiahGlOEBc4UY4TQi/IcUxBz9Ho9lV6gUYvUOmHGv1Q5203tnnbLfP85O+FPPFykzdcFxMFKWqR0c8sHt7rcuWWGnfcvO3Ylq1rz/ZXjuPVN//FAS5BrvLCC4+d9Lz6D03Obn/ooccfRVcNxEWbl08bbJqyWLyuy6cedVGympySNBRadb3UaCrUXemDJzWZlVtVimXG1L0A1+7wyIsF/+53Zpi71GBjo6BuyxO15K+MOmENxbmGVq3M81V8aqGkvHBQ5dGXHBRLw1LBVHPZloiRCcmIcGBAtKrMfcrqLQ+xxar1vCpSkiLjnqdscnQMoaArxcB2eZWlsnLZLHw0i2fVHHxUTCAzMItc4803RfyXDyaEhZyHJ6v68GJghzawT0vLTae2emQ4iBcp+/E00wj6Brfsirh6V59jj8XEuT5og7IqfyctBmxHVUiQy7ZDVuBeoNLumhi6z8x4xq/80Ao/8TsFD+2doBdZNF0FNwRHl3paz8rwghyvL0YAbsj2JdLYPCv47tuWOXnO56oZh82zHQ6eUdFUwYbJNlu2XEkSpz/09FOPnbz6qmu/GXy/OcCv3LmeIOhhWc75x54QD188e/COMX+ZkxdM1lxhsWtzn2cOmbx0qMmVa2Re5lhDY6yh0qwVNLyEVi2mVY/wnQDHCjGNWGbEaxnzKzEP7Bf85w/OcG6uyYZGQdOVPbtbJatZSik0lh7hlplh6nmpDB9u2oSoJhwpnb5Kt2OhN9QS4MP2RK82lZdxXvTLW5ORg6xa5duX/ffJRYUw00DVBnGDr9aerLZlG1Zv2YQrq0FeWSIXw4huQ42ZbkUszyfEuUGcK4PD3/DQudomTTIOh5vNOBXoaY4xOGxKLWWc6Iy1FOpuishTsryQ8/ZCGdw86eXGi4r8N9ZVBVPX6Ogqpq5j6Ba65rNmPOe//nCHX/hwwlMHW5xaciS3XhQ4usAzBDULJrycph/Ln1NfoxdoBJGc9ly1EW7aFnLP0za758YRRsKxMxlXbmqyZt2VD++88rbzQRBgOc43g+83BziAbbvc/8hTRzS98Rs7d++849CLD1N3bTbPtnl4X8Gxsw12zujMtFSmWjrjLRivJ0w0I2bG+5h6j24ccWQu59mX5djPUAt2bwj4/NctPvHkBL24wdqapNj6tjIg5bi2kD27k+G5Ka6VYhqZ9A+pKmbVzZbKmE4v59EXXTAMNCGwxFBMMaDhqqOkKlH24qv7b3UVwKtDZoZupHz1CYOzFy0UVbYngzS2kSSIV1v4rML44IBZKmOKob9gnsst5OwUvOW1fQ59IiUxcqLSnXW48Bk5BJa9eFZVba2i2Y5QadMywDWT9hJJbPDa3QmffSRmMc7J0UqbC+miNUr0SnO50BFkiIobpJdWGrqOrlloasbseMav/as2n3sq4LMPuGxfB6rQ0FSFZw6ZnLtkc3DOwl5QWdvMmajHdAOVINKIYosomuCdN69w6FyXx/ZYbJw28KyYjZuvY3rc/Y3jRx4/snnba78V6H5rAAdoTK7D9fynO73eZ6zawrsvXDjCC0c0TGFy846Mdldnakxj7WTG2smA6bEOSdZj7/GU43MKj+13mV+xOHXWRBOCjWs61NyQg+cs5ts11rYETTujVoJbHki1cl2bU/dS6m5MrTzU5rlCL9RJ02HCgYKkeS614atP2yiahjnovUfIVCPVe8geHFnsXDaCVMvpSRUFjpay3LXJEh1FFxhitWhgdczJqmCTy8BdKn+qBLVRGVgp5rVslaaTomQJeZYP1/b5MF8ye8W4UJQJxUopklBGwD3SpqQyBe1NN/b45Y8kLC7kQ2pE2ZYkKXQjQZILanZOI5MOAYrISn6QXqafaRiaIYXTRsr0RMS2NX3WTsS8+1abjZM2mhpz/ELAQrfDQ/sNTl60eOm4y6klkzX1lLW9nCDU6Ucm7X6TuhNx9daUJOtzze5N3HLDzs9MrFn79ETa+VZh+60D/PrtMyxeOn9y++tf8+MHX3xedS33nQ0vYqkf0u+pTI0JrtwSMDPWJi66PHUk5QtP2jx/qE6eGhSJTstTuG49ND2Nm64sePvNBi+eLnj6hMA3cjxT9t3SDUuTKn0vo+5JRlmr1sexu1xcTsgymzgyUdAoSDH00tRRKRBGgdA0VCHbE6m3LAb8k0rMoGvD6cmwco+CvCiBnaOWWklTTzl7Ae573iHVdHQhMJRidaaPMpz8DMUNI1vMyi2KkRFhPjS3r0wqs0wjTzRed13MH34l5MRiSpSpxOUhsxrjZasOmyMR3FkVI0J5OBQD1X1atilpppEkCkUi5RqitI42NbD1gkJRUOyImIzzCxZBopLmUlqnKlkpCNFKIYqGaRi4tkG7Y/LCiwpffGQaE49bdho0aylTrZC1G/vsXhcS5x2eO9rlS0/YHD7t8OJZi6VeAYpOsxmz2I9ZbuusnzaZnW5+3hu748dPnTp/asOGzd8qbL91gAO0xmd45PEnTr325tfsP3Jg7p1P7z1Jp+eyaVrjuu0dFH2JD35d8OzLPis9kyTU8FSB70PDgboLjZrGmgmNzTMatmZg6Sq+gQS3NWxNfFfgu1LM3PQlE7FZW+aP7in42H1NNky63LnbZss6aAC2mQws0p56yWC5b6CqAku9jDE4otSpWpPB4qcSN4xsL6tXNT3RtYSFtsLRExa50NCFIu3elMszfIYWbeKyGXgF8qKKARkNec0FeamSkUoZjW0bQsbrESfmE9LClDZsZZsiExUYMc8pq3gq1+uJqqzebKYjfXimEacavqtyw5URpx+Xm1hNSIuOmivYPKty67V9Nq+b48P363zwSzPkhYYoe/GKp29oKqauYpkafihBHsQFQWRy4qyKq8GaCYulFZ26b9PwEjwn5sbNEVeui2j3l3n6kMZXnvDYc9Tlpp0aG9fAnN7H8rawaest++fOPnFq5+5b/zyQ/fMBHGDDumkmpmZ/eXnhyOZdm3rf0++GNBsrfH1fxJ7DPu0VE1MVrPUUvHG58dJUqeTwXY2xusrsZMbsZMDeY/D1FzwMRcG3CjxbKcGt4rsFDTej4ce06n1qXps/uifjf35mBk+zEamg3VNpd8E2xUDUWhQ5Dz9n0u9YeDUFU81HxMtDE01dG+F9a8OqrarVxrJ4BbhVNQUl5Q+/4rAUmghdw6xuhsosvzpsjhw4YTg2rFA+tGCo5tnV/FshzaW7U5pLEPqmyg98R49n/kdCmlfjvOFGczW4y+qd5oPD86CKJ4JYzzGSIcijWGdiTHDXtSFfeSKDQrZbhl5SKhwdlRqOmvLj75pH5Sx/9JXZsqeWU6uqaMh8U41Oz6Dpm9x+TZ8vPdvn3IJBy80BhTBW6fRVLi3r6JqNqRe4toynuW1nwpXrIp47usTRkzadvke9sYZrN27+k01brvrlc+fP/nnh+ucH+Lq1G3nwga+1p6Z3/OC50y/PLtG5/WP3K/hmk21TGq2tOUsdqbrxHNlbBpF8XNdcwUQzY7oV4TsdPvuk4NR5hxkHaXhuy02n70iPlbof06yFTLXafOCrCb/+iSls3WZ9q2DMp9R3yse7BFGBombkioEiNEx1dPatrH5VavmKW66NuspeRo0t+29dS4nSjEOnDeLCQBcCUwxHj1UCRAVyua6vLNFWV/HLIwKzTEbkVVyUNBNkZZUVisaO2RRHj+hn2XCrmZVbx1U02lLpIwpJfVUL4kTexEmqECeCRF89TSkyHVGkFHlGxmpiW5YrLLR1zszV2DCT8n+99xJRdoE//NJsqcyvKMoKpqFjmSqurbPSs9k01eF113X52D0+F5cFup4AkKQqQlEJY9nze46GoZm0uxlNv2DnmpgbtizxwPMajjX+yKb1m37w/q/d17/7Td/x5wa4+HP/DeCu170R0yj6r7n1HfFSp8UtOw1u2KFzw+4+nrdMq56za3POrs19tqyNcCwpY6u5OS0/ZXqsx0K3z4MvOGiZwVi5ypfgFtTLQ2XDjxird5hf6fLJx+ukeEzXCuqugm1JE0ypAi/T3LSMpZWCU3Mmqq7hlMZBpjrUexplLLShqVI9pFeyNwa02AG/ZWS+roocx0744mM6Lx2zQOgDP/FBvIk6Ur3F0DtwQC9dVb2HKcaD6p0rZY5N2Z7kw8XMFVty3nlrD4KUpBrnDf6eBHc2ctCUah65Lo8TiGKFKFFKt1r5ihNpLRFGBrMTBV49Ih6YFknjojgt6IeCdtfg0rJPmtb5rlt7TLWWON9VWOoprPRyOr2MTi9jpQcrPY3FFQsFlzdcE9Fo9Dm3BO1uRqefEsYF/Sjj2PmAAyf7HDgesdhJ6cZtnjvU59mXVB7e0+TqbU3e/a7viFXD/AuB+y8McIANG7axYcPWp264/togK8B3esy3OzxzwGP3ppCEJZ453OepIyucmovIc6mwb9Zi6v4K976g8NKpGjMNaLjguxo1V6XhFdR9Ce7JZg9Nb/OLf+xx4ESTNWUv79nS4N40leHaXpU2EfuPCR5+3se0RAnwYsRTRRk4YRmGgmFU2Z3FQNupaaVcq1SYj7IHVT1loacSRSaK0LBEtf4fJkIMo05KE53KBq0cF14+QcnKFbice1eVuwR6VrUpOqYuGPMSyOS8Oh5pUSo/lsrGOUkLkqQgSXKSpFyZXwZyaY8mRcm90OCu63Ku2hyULrXVkkjaqfVCWOnJhc5C22fXOpP/5+9fIi56nGurtHuw0s9Y6aWs9AraXcFyR+figsfOWZ03Xd9mMchY7EqXLqEUbJhJuf7KZa7b3UU1Oxw8lXDTDpWJsYCVMMavwbYdVwbr129/av367X9RmP7FAe55Lou9/GduuPGO/37N7s2hY7Zpr/jcsCvn5bN9Dh03WT+hkaUFK135g3edjMlmj/NLIfc/X8PXdSZrBXVfo+FpNHxo+ClNP2a80adZW+L+vQqPHxhjzNQYcwt8R8GxZbqbZVTG9tISGSIefVEnVy087TIvw4H9cRlZqFP+/dLMZ2RxpFbiBkWGlApRYOgpKys5Lx01CHIDTRVYg8Nr+VZwWb6PgqooVUL4qrCqfMAjUVYFqA643FXmZKqRJCqaUNm9JcarRXIlXy5kBjfJQK8JSVIaBcU5UZKVnn8FYVyCPBZEsSCMpZd4FBtkicEdV/QRSkI/FcSpIslScU4QFnQDwUpXY7lj0enVuGWn4M3XLrAURFzoCJZ7sNLLaHdSljuwtKIxv2zTD+q8/tqEifEe59tSrZNlBXVPGg6duWixa53Jjg0rPH1AUHd8lvsxrrMpvPaGu/6778c/4/vffKHzVw5wgI0z9bxWPPCftm1q/kon2RbXfMGeEzmHTtaZaAiyPCCJDCYbOnUPxmoRSd7jj+83OXnOZ10TWn5lA6fQqmW0ajETzT5j9WXueTbjF/54il7fYbKWl326zN6RuTvFMNfHiMmLmM89UaNQDTy9KH2ph+A2B/7hlXd4MUh/0AeqnXI1XTpOKeWG1NQzFlbgmX02YWLI1keUPbuoxovDCU2l6xQVyEdKeJXnM0xxKHvoalY9mFPLKp6kGrqmcdOVCZO1mCLJSIuCbNWKf8j+izPJ4guTXLq3xtLFNYohjBTCSBDE6gDgYayTpBZvvyVCVQN6aUGYIKt+lBGEOb1AoROodHoGC8sOtu7zU98X8Kab5rnYzbjQVljq5ix3E5Y6KYsrCgttg/MLHpsmbf7+3W0UPWGhI2+EuQUdR3Uw9IBLywXb1jhcuSXgUjvntdesizV74ld+6wNP/CdFaeV/GYz+uQ+Zl19P77PjRm3NLzVbefzCS92fW9uMxM4NEQ/uLQj6Da7cKLnczVpOs9Zn/8mEzzwyzoSlMt2EZl2nVVcZq+eM1WMmWn3GG8t87fmYn/3wBJcWa2xqFjRs5JSlDJeyraIMiM2wjYSGH/C15xWWOi6+IXD1DEuXIbAyGnwIbscqcGzptiXBXbUiJaiVoUGPGPBLcubbgn6mgzZsTwxRHVJLuwttaHGhjYC8UvtIcQNkCigZJJXft6jslCsrNmneU/XgaaJhq4KJRsKxuXyVPVz1VCgK2aLkhTywSo9EaaaPkpbaVlV+fbrAjFQCQ8OKdILQouUF3H1Nm68+5dOzFTnmiyUTsB+qdPsCy9AwdBPD8FgzkfJzP9BGUQX3PzslSWtKgSZSNCFdeQ3dwncavOe2izx5cIUjx1q0uxknLqgYhsutu6ATBdz7vMv2GYcdG418anLNz62ZWfer3d5S/JfFp/qX/QAf+ehHed/3vj9tNKYWx5v2j/Y7h8XJiwq+6bJ1XUYv7FMUOpvXpExOLPDB+0zOn6+zfRqmWjqTTZ2pVs5kM2ZmrM/02DIP7gv4Tx9qcWGhxfqGwoSXl+JmTb48lbpb0PAy6uWMPE47/OJHXA6cHmPCUWg4xWUrfw3XljYWbrn6d21pOG8NVv/yexIKAxcrQ08HSW+//yWDLzzVRNFs6iZ4hsyksUrnLulZLmR/r5UUAHVoSTzcbLIqRa1qXuQmtgyhVSlHlEVpFZcxVo+Y7xQ8uKeGphs4moJVOgMY5QFXglz245VPYpVJWX1+oSgj8r/q7JHT8hOafp97n3cIEwvfKFb51GiaOpgWKYqMNJlp5dy0Y4Xjczn7TrpoKGgiLy3oBEIRgMqYXyDUHg/sNfEMnbWTCqazwvFzAiV3mGpFzC/HXHvtbfm2rVv/dVZE515/9zv/Aohcff2lKzjAzdesozU9dfiFPcaPRXH6v/TTz4mZiTYP7VM5f8Hi9qsEY402n39C4YUDTbZPwfSYxtSYxtRYwXQrZnqsx9TYIo/sD/mZPxpjsd1gY1Nh3JXcFNmayMPlILXBTnCtBM8J+NpzOS+83MAzVWqmNMwfZPeUrlrSyqIovcvLxDgrQVOl8qTbN0hSqRxKM2kaOUxUyFlcEUSJjmsomGLEJFSTrrerLeUEqipdBri8/6YEXi5BKQ+K8g9WXBZdKzASlXTgMygjYVpeBoV0taUMptKqFkmVwO5FClGqoAkZ0pVlUJAPHG3lDLuyhdbohTmWadALba7fFnDbVct85UmXTqTgRgVBmGObOf2wkMxOXZNPPcWmKGBqTOEX/9ESP13AI3smy7FRBkqMUAxUoWPoDW7amvL2Wzs8sccgjjVu2q1zej7k4T05s2MWb37d9fns+u0/1s6uPqzqZ/4qoPlXA/CxmSt56rmX45uuu/X3n9pzyFmKvV87uS+mbhq0NhhsWx9w3wshn3igxRpfZf20xsy4zsw4TI9FrBnvMT2+wKMvhfzMByfpdWtsaUHTyfBsBc9WcKp4EkvBLvN+HCvFcyKKos9Hvu5xKXDZUKeM8l4da+JYCq6d49qlPM6Txvyu3SfJYpKOS6dvkaTSTkwrI6aLMiJQKAWaLsueIYbiiYHDVuVZbg6TnDVVwjDLGHwcCXLZRkilkmxLslzeBUKRbY2hS3eqJB3yUmQ/TpkQWxnoV35/CrYJcaYwH2UsJgVZotGIFVpZXoZWlRbJai5HpWFlQ63SN3U6PZvpMYvve32He54JWQ4dalaGU7YpVqnEkT44mowYL+TcfrKl8fPf3+bf/wE8tm+i5AdlUMSAAZgojPH9b1zA0NscPNKi4buoqsF1WwNmZy3GGvG/vf7a1/x+Z+loVmtt+9sDcIDXXL+Dl46cz+5+/buPnj7+XOfYgS/6Lx7ts34m4enDPe59ymPntM26SZWGr7JmImf9VMD0eJexxhIP74/5yd+fIQt9tk/kNBxwTPm4l0FTogySZZC541oxY7Uen35M4ZmXG9QMrazeMr/HLh2TZGtS4FrSq0X6mAc06ys89mLIr36ijqfXuHmbzuykPHcbeiaDVQvZWuRAmqsg1LIlGIonjOoga6ry81mSv66psl3oRzKbstJpoihkJWiyTE4TUkNAIVCQ7YChC8xkKBbOMpUs19CUDIQ8d1ULGUOTue51X2ftpMoPXbmE417gv37S57E94+SFiqJkZfXOytZEQdfU8qmjYhk6lmHSCx1u2h7xntcu8ukHLZq2rOJhlMuXWRBE8oxRFBphLAhCTYqJx3R++QeX+ak/KHhkzzj9WKcf5SRZTJbrdAKLDb1J3nfbPPeYi5y52GLtZMJ8b4w3XvGmzs2vufpoEp/Jaq2tf1Ww/Mv34KPXT/zUf2TT2rlDGzdsONPuW3cV4Tn73HKHR/dYXLnW4c7rMmqeXMdvWduhEMsE6TLPH0/52Q/NkAY+W8ZyZloKEw3JkZC2ynKx49nqkFnoR0y2+vSjDr/9BZv9J1tMe6JMe1MGGZ2eI6VfNSen5mbUvZiGFzI1vsKp+R4/+Tstzl4YY9oX+NV8vRwfWmXqcsMPeelEyu99yefCUo2WLWQAbRU+awlsS8OxSiG1W1Bzc5p+hmNnXLxUEMZSU2postIqSs6piwm9ICMtT4sKCooqSqu6sjfWi9LEKMe1YzQ9Ys8Ri4uLLg1LkXk3loJvy2nUZEtjsgm71sfcsG2Rh/ernLpkY6rKKsZjdTao7PEGJDNR0PBTFLXPgy/ZBKGJZ+YygEBj0Ibpmpzdr/Tk6l3aI2s0PcHtV6xwYTEgKQoKFVY6AttQaHcTDp8BTXhcuy3h7EJCnE/wrre/YXFszWv+1eP7oo/v3uzwn//zL/+VYfKvrIIDbJyVEv40Xv7Q6+64Uxuvpb/8Ox95ZGK8FvDaazLq/gJ7D9e5dlvMYtDm9z6vcuxig4tdE0e47JjImR0TTI3prJ0QxFnKi8cKtEL+MAxdhrraZoZrJdTdPl99ruDJAw3qhk7DznCtMuO8jA93bQXXkq2J56T4Tkzd75NkXT77pMXxuSZbWwqeXflZS/50ld9OIQ9iZ+YVzl8w0BUxFC2PbEdNQ8iQKrug7ubSh7HVZ7nX4+BDDeq2znhDR3OgVc9p+H0ePRDTXjGZqmfkmazwqioPqKYht41JUilwpJRt/WTO+omEvce4zEZDArUAun2N85dqrJuK+c5blvjNz5vM9f0BFWEgvVMVdFUreSRSuGAZFr7rcsuOkFt3rvDlJ106kcCLC6JyeZTlAkMv0LSEl09DmqismVRJUgcKhQ1rUn71ny2y2I04dt7jdz7nc3HZ49rtGXuPhzyyz8d3La7e5mJPvX7+mqvu/Kk4ST70nXdO/1XCEfhLzsG/4V1jNFhe4Q83bHnjT2/cuGN+rJ6xFAR89akaLV8jzDp88usujjrFD7zJZqahMOnkTNYF02M6m9aoXLGlT64ucfJSQpyUpjKaTE2zTel12An6fOphl4srrlz3V+C2ZY6jawlcq9KBpnh2jO+GNOsdvr5H4X9/ZoqWpdKwc6zSu7xyeB04wiqy2qpqgdBEWf2KMolCKQ3y5cHSNsG1CmpuyngjZKK5xIMvBhw5D/0wL9uRAs/O2Drb49ZrFzjXyVlYgU4/px/mBJG0XYgTSnCLgWBY9uDSsjinuOxrlO+mWUlo6pmsdH3+2bsy7r7uEu1ewlIo6IYK/bCgH+UEYUa/nHF3A5VuoNHtGyy2bZqexXfd3qHu9VnqKQRRaQWRyiQLUy9YP90BfYmXToacPJdybl5wYdFiueNwccnmD764gag7xfvuLNCsgIW2zt036Dhen6VuwlVXbJt/xxvu+GnbSP9wesL764DiXw/AAZoNlz/82Jd/X9drP3ntrpnFB19QWT9p0Gx2uecJmzGnzj94c8y1W3vUbRjzYbKpsWZCZfv6ANNa5PEDKZ2u3DzqGphV9bYTXLvPw/vhsYN1xh2VhpXLRGVbjIwEZSKaV8YZek5Eze1x8FTE73+5CZnNuJNjl+b8egngyp1qMAMXOYoKilAlPXbEbsLQqoqrYBkFjiXT5Vq1gBMXAz7/iF+mIsg4wUrbqCgq77k9ZN1sj7muoBtCEOZEcUYcF0SJQlwJFco0syyXvXiRSWV7VqyOSilT1gljhX6k0e6aUHj807f2uWrTEosBrIQK3UhuFHthTi/I6AY5nb5Cp6/S6et0+ybLHZ9bdsJdVy2zEuV0IkFQJqElqfz66i7ccmWHfh5y+EzK+fmMiwsai22blZ7JnmMpH/6qycpyg7fcJJjrhpw6b3LXVTGKvn6xXm/95KWzX/x923H/umD41wdwgB//4fcw0ep90G+u+ZdvvnljZ2psmUf3mGyYsFm/ps98f5mHXsrJYp2phhwbblyTUPeX+NRjGYdOekw3yopsla2GlVD3QrpRwNeedeh2XCa8At8eEUs4Kr6tlL4rUujsORGeE6LrPf7wyxZPvdik6TEIfjX0khuuFiVpqgS5yIHSeIcR/vdIIoReprBZZoFj5rh2Qs3rs9TNOH/JxtaHFbaafYeRypqWYMzrsxBAL6I0zJHx4LKCD92pqgoOKqqWg5KXEjdlsKqXdsoFUSztGILIYKljc/MunX/0tgXSPGQxklW8Gxb0gpxekNILUrr9YgTkBosrDnXb4Y039LDdgMW+Qj+CMMoJwpxuoHBhwWXXrME771xmMUw4eTHh4oIURhiqzW1XrdBoLnJ8rs/p8zZ3XqVw8lJAN9nR2bp5+l8ePrHywbVb3/vXCcG/XoADXLXBzt/ymsk/2bll5p/O93aG22bhim2LHDtXcPaCycmzFhOuxtpJnbWTOZvWLHOx0+PhvTWapsF0S1pP+A54towp9N0ezx8t+PIzTcZdQdMp8G2BP6DbKtS8HN/NqDkJnlPaU/g99hxN+fLjDSxLpz4Iiy0XNBU3XB26WJlGzuIK3PeExdyShmnkJddEKclVZZuiFVh6jmVm2GaCECEvn1PRDBVdLVYJj/PSAzyIDHbMBqSk9GKFMClK9l8myVJppaeUII8ilYkGvPGWkGY9JU5kkFc+sG8rBtU1LD1H+qHJSt/h7TcnXL91iXYvZzkUdAOFTlDQ7ed0exndfkanRxn2pLPSNVlc8XjzDQXXb22zFOasBAq9MKcbpLQ7BecvmXS6De68QqHV6nBsLufspZTTF1QW2z6bZnTWTahsXgMvnupz4KjCu1+/MdSd2X+67+jaPzl4ov6XWsN/K9df6SHz1a4rb3o///m/fSLrhls+OV7LsySOP/zMS6esHWs1kiKk0zHZuUFn8yysmQg4u9jjf32ujoPNllmF8YZO01eoeym+K6t3Lwz5kwdcoshh02ROzaacXmj4rqDuSSVQw5OOWZ4d4tkhaR7y+1+2mev5TNeQ6ckVCcuQeT+DPJ4RHniU5FxckM5Q+ojL7agqSK+iVHRpPJSkCZ94qCFX4yIfVpJSnpZmgizTee+dK/zh12J6iUOcKMQlSKUyvorBliqfJJPuuzNjCbaWEgaUFNvyz6flDRLLNqWK4Ov1LSbHDH7o7Us8e7TBYuxgqKU/NQUo2ciCSRuMDe0Vm82+y/e+rsveIyFLgUMtyLF6Urqnazqa6rF5tuCfv2uR3/xsn/OLLqaeoGsmWzdadMOU9imHazf32bm1Ee7c0vgH192w7jNnjp/L1u36+3/d8Pvrr+AAP/tv38fU+MvZ7zxrfGrN9Mbvv/PG9f1cWeKTj2hMNy2u2hqSFQmqFvDBrxosL/hcs0ln81qTyZZgvJkx1pDjPdvq89yRnCcO1JnwBA0HfEf6lfuuoOEVNP2UsXrEWENmCvlugG2F5EXE88ccFFXD1UuylVFRaCXAjZKbIl2zspIPXqrIS4vkQdSHqpSWb9WNUcYWGgm6HhOlOnoV7lQqeoYpDtK9ylAFWZoQlKqbJJV2yGk2GvJUCZEFeaZSpFDk2Uh2T2m4ObBKKwhjQRgJwpJMFScmV29KMdUe3ThnLhDMdVUudQVLnYLlbkV3zWh3Fdo9jZWuwWLb45adCtduX6EdFyz1FBZXChZXUuaXUo6chr2HfSa9Jj/wli5xniLUnL3HEy7OW7z7th5JsQjWbianr/ih6177i596+eALfyPghr+BCl5d/+5H/gn33/uxotP++sfd2i3a5ITyv67ZeKm+a33EYwdg23TOy2cT5hd8bt5hcMOuhKxI6PUtxhsRk60OtpkhRMJjL1r02g4bZqWBvu9Ia7i6B00/YaweMdnq0qh1sMwAoUh+RE6BoupYmsDW8kEkuFkFyZoMYgj10hZOBjFJMocoDTaFMhQ1DD1VhjeGoafMryjkuVT1i1LZUxn/DF1kVYRQmWqELLaLQUryqiSHkdBVqQIqxdVFTlYwSH4Y+gBmhIkqwR0NI/zixJA9fJ6RZTntOCdKUjqJRpDKoFdVVCJiHctQsU2DhbbNzo0Wt13R5+G9GSuRRlpkCFVOpxY6McfPC+LU56ptCdvWB3imzlXb+uw9qhOnE8xOT136zne+dWnnzl0nljvvKXZea/+l8fStXn8jFby63vCm78V2b+VPn5n+6JHOVf/q7rteszAxpjHhwsaZHifPCHausbn5qgShL/HswQRDSwnTNo/tjzk7Z9EPBUGqU3OFtGJ2VWqeBHerljFWj1kz0cG2F/nC0ykff8Tg/KJGnJhkmUBRRJmkDJaOXK2Xq3zHzKWxkCE9xlWRy6DXMtVglAwlpyEyamXohCX9Eh0r4UNftTg/Z2CoxUC+Bqyq4EkmWDeh8P1v7hJGxYg98kg0SaXcKYXJRTEUv2VI0UOcKYSJPKSG5fgviMoqHgviWLrKZrkKQsNQVTY2Q773zku87ZaLrKQRpxYFi52CdjdlpZuy3IXljspyx2S542GqAs/KmB2DW64JMOw+SaZw/a6MWPR44sWUwycabJ5ROTaXMrdooDse67fcuvCj37vp3147tnu7ofGoYRp/k5D7m6vg1fXm7/gn8gddzH0QNO2rX5v8pY3hfROPvLiETpM7rktx3RU+8aCOLTxmp1Z45KWUfQfH8U2VKG/z8PMOs42Cpi9o+Dp1T9DwCxp+wnijj6ot8+H7VX7/C9NsHjcRUcbt13TwvQCBgqmWUd+6GEmEk/Np10lwrARDzxBKMayYZcDfkNpa5gYNxA1Dg3xNTUlzhUJRpT6zEh6X/wYDo81MGvzoIiPPc5JcDETEVQ5lnpXUk1XgllGDAvk0iFPoR8ogjcI0MnnAjKSoIU4k7TYvVDRVZ72t8PpdDu+/S2fjzCWmm/P88f2TXOwYZYR6VmpWVUzD4MKCy13XtPnsYymzrsXbrjd4/niHR/fYXL/D4E03BXzmgT4P7XG4YafPjTu7LHfH+Qfvvnt+fP2t/76TJR+cXgOrw4v+Zq6/0Qo+einKJGD8wZvfePtPb9n1hnnXHseyQ+I04sx8RhK6vPHGkJfPBTz1Yp3t6wxmxiOOXSgIQ4fZFkw0dcbqUgk0tJdY4UvPFPyvz02zrmawa1aQpA6dvgmKGChxLB25fTRVXBt8J6PuJYzVQyZbPVwrIS+Ugad2nkrF/gBeJTFKUk8v81HRUjQNFCFtlVc7XClDRU+hkOUqSaKQZ2Wa2mDsVwzorsXI4kkROUIrUFQVszToX4kEZ1dU5ruCTg+6/Zx+IKt4EMnFT1zyWRQUanaBpmi8fNLn/MIE/+wd8PZb5rnYzVmq5GfdlMV2zsVFlXPzDrbmsWkm4PxSwcsnXW7aYbNtwwr3PwuOsFk7maHqCUudDg23xXvecdf8pu13/LRvqn+wbX3z2wWzv/kKvhrkHvOX+r9/9e7Xpi1P+7UPfPLh5un5Oc7MuVy3TdBqzvPVZw2mPIsd6wscZ4X7nrPZOKYxO6mxdZ1gshWRpgqOldLwA5b6fT769TEausHasYJGTcV3cgwtoxfKb7lS+liGpOB6dkHdSxlv9hlvLPGlpwpUaly10UJTAcXAMAsQOQVilcG9kPyrwVhR16TzbD82y8z3YpV9xNCLsLJpU7GMGEVNiDN9NbjzYpj8UEjL/Dwv6MUaCJ2GBWMO7NraIdcivvxEg6JQMfRcLsRC6cldKXcoBI6VEqfQCXIW2gpn522afoO/d9ccDzzf41Lfp+7mtLspl9o57a6Gqqg0a03edP0cv3o44uVTKjPjHtdsWuZjR1d44bDPVZszzs3n3HDFFK01b1i66aabf0LXiw8oyt9cv/1q17etglfXxLhDo2F+aNPWG39g59Yd/6YxfWMyUVPYvekS9z6lQ9rg+h0auzZ1OXgm4sIFj60zKjs3CNZMrdCNFumFGapa4Nl9vviUxslzNdY2C+qeSt0VeHZOww/54hMG80sGdqn0sS2BYyv4bkarFtGqtfnEoxm//bkmj+2tc+KCy2Lbxrd17rohYqyZkmbK0NynEieUuZKqyLHMnAMnBE++YKGXppyrPFEYERxn0nbu9usStm+K6MXK4HCZZ0WpbFcGLYqmwfyywoPPOIQ9nXEvZ/2k4LZdNv/8HTHvuWuei/2MhS50g4wgyAhCCCJBEOlM1FXefkuPpZ7cYq70cpZWNM5fctkwafO2m5dZDqX1m20r2F6fM0sBB0/mHD1js7bls21DlwOnU547KCBr8qabBPtPdrkwJ3j7G69O1q3f9W9uu+XGH1CF8aFvN7jhbwHAAQzDzO99+tzno+Zbfuv6q3b8i/e+/ers5JyTm2qN63cXTI+nCLXLV5/xWT9msGODxrrpHo+91OOTX7dZ7ujUvYgg6fHpR+rUTUHdKZX6HtS9GE3rc+CMgchVXFOaBdmmwLMKak7KeKPHQi/g4w+2MHDxDJ12R6MX6qhCZe14jmUWFPlQFSOUSq1TeaLI/nW5C/OLJpqirHK5GvTgKCNuVoKZZk7DS4hShkLioihfw4hBoUiPmfPzOmQCz5TuU93AJ0vGeP8dCa16hwsdQTco6IUZ/YjSdF5HVUx2rktJSGj3kDYPXYV2T6cbuHzXa2Mcu8diX6HpabzvLrj16janLwUcPAGnL9Z5y/WCiJgLiwnPHMzo9x2u3mbnE+tvyhrTu//FLXe85rcs+/DnVc38a1/ifCvX3wqAA7z/Tbv58e88Et92c/1DazZO796w/vr/eNdr6pya73FhKeWZwwKRuFy/Q2PzbEI36rLvqE7Ndlk3maJqbX7uoz4Hz9RolGv7aukzNRbw0smUp1/y8DQF15IAdyyB62TUvJixxgqfesxicdFmsgamIfvebGDGowx7bzHUUIrBIbPafsoYQ0VTpaXyq7jMFlS2bfKQmSWCLM0llyQf9SWprN2G4uICZajfLL0Pwwjmlywmaw7vua3LYidhOVDoh2UvHiqlPbHFLbtydm3scX5ZKX1Mcjo9Sc7aNqvzM39/gYSA03PQ6XhctRlcN+D4+ZjnDgjUos5N20MmmgXjrR4XelNs23zVf5yZnd195tKaD332vjBWlJu+3XAaXH9rAA6gqDejKFcF8+fSQ5ny935p9+6xn7vxyk3Z1FjCwWMWN2xXWDvVJowT5toFK12P67cVNOpt/uAei0PHx9m+JsHQJOmq7sJ4I8Y2OnziEYO5JZumA66pYJtqKWHLmGgE7DuR8vXnPBxNpeZIgGua5KSgSCqtqoxkBA241CVvRS1BLjL5d4QYrPOFslqyVpR+hNWyJ800yAuKPB9ElOQjk5QsGxpyFrkoNZ1VNo9kH7b7GmFs8/prM3Zu7nKxLdfqQZTTj6AXqix3LCZrBu+9c4VumnJppaDTy+gFgjgRHD2rs2u2xve/NeRSP+T5Qxo106XeAMNSOLGY8PRBjW2zOu0Qxid2ZpPTkz/39jvu/qWVxe6ht9+1LXj3G6/5dsNo1fVtPWR+o+uqG7+b+VO/mU2s/zc/myZz2me+9PC/nWztNRNxkYf2Gtx2VcaRMwq7ZnXWTAb86YM5Z877/NM3K3jePB/4wiy+I5X6U80uLxyPeOrlplT8OEUpYxM4lkye0PWA+1/QuTBvs7GBTF02FQw9xzJyukHBMy+bdLoq0+5QJlaZ+6iVN6Gak+UZX3/BpB1pTFiVMb/yKr4o8smQpCo1X3DntQHPH8tIMnXEM2UY051l0s9kvKFwza6IF45ncoGTSjFFr6/S7ljMThm8/roeH/6KTydQSyWObFNW+ga9wOembYtcva3NyVMtJldyVnoyjuQDX9Lx1HG+884I++5lHnha5fApl91rF3i+m3LTrpzT8zm+O80//d6ro9lNd/+3rRvHftZzPsD//eM/8O2Gzatef6sq+Og1sf6fUxRtjp+yfuZ1t7/x197+9nc+uPdE6+Gbr6ylk615Tpxz2Lk+p5+GLC5ZXL3JYsvaiE894uPbgrG6wsY1fbpxm9/6vMfigsdMXapwDF3SYy2zoO5GRGnI3qM2pDoNFxxTlTI5o8A2U/pRzv5DBkFfwzaKoe+JNqqSyQcAf3ifRRhpmKUdsxAMfFGq4Km8YOB/Yusqd1wVIdSMOKsiTKpw10olL8d9niO4bluMY6f0Y4gSGfLUDxXaXQNVsbh2S4pmxLT7SD+URPoT9gONuUWXqbrHj76rg+X1OTGXs9jO6fQMvvO2lMPnM/YdsRmvuZhWwMGTCusmNI7N9Ti/2Eq/583Ww295yzsfvOWWt/7alg36z5w+3/lbC274W1rBq0tRBiGfP31k/yf4xX/5Wp9i4XdOnMzfv21NIiZbbQ6cVlg/aXPFppQg6dPtu+yY0tmxQdJuP/ukYGnJZ+e0QsurDmySz20aOTU35MUzBSfnbMZ9Bc8Cx5bti22mmEaCpicI05S0WD3H1JG2EGpptKkUZU+cYxoppuliagKztHRQxeowqqq3l2aYKlGiE4QxUZKTll9fPsISjBNRulGpxLFBHIYESY5SKIRRTj/M6AZSOrbQdlk/3mXH+j6Hj9pEiWxjFEVAoXBxwSZJVSZ9lddd0+VLj2ocOi1YN6WzeYOLaQe8eFxH1Ty2za6w/0jA5uUmt13fyicmt3zi5fnaD+85c67zwz9w87cbHt/S9bca4KPX1ivfx4kTJzuObf9Lu3v1kZtvfPxKXVx8t3H2FDNr+gSRzgsvGDiazpVbcoS+xCcfzfnSo2Os8U22rFEZb+XsORbSC00U5PQkTkO+8KTF/ILF1bMFjq2WzEQpkrCMBKUMJ5Wm8JShWNL8U4jhck5VJcc6yTRcXf5ZQys9Cke+l6LkkESJjNALIxNNhPhWQpYPI3zyXDIEZYshCCNJnMpSlTTNCQopaO4FGd1+TqcvWFox2LnR5O039/nNMz6dwATAtTMKZYU9hz0mGzZb1qm857YFdHWZF15O2Xesztopi9df2+XIqYJDZyLqtmD3rrXUxiY/8y/e8Zr9jjf762kadmbXrvt2w+Fbvv7OABxg48YNAJeKYs//c+vNd2/Yt/8crnvs3c/t3cNKr8/8kmDHOp2YgM8/ASfP11nXsLlqi8p4Q2HjmphaY5mHn55AU8FzIl44nvPY/hrjrhhYONfcgrFawkQjwDJTorxAVQW2jhT4lsxF2xzySvJC9uz3v2Bw5JxNzZSW0I4lx4lZLqM/pNVDQZHLyYau5TRCk81rFO6+vs/Dz9YGPBdFkRVaKFK13w2ln3eWS614P1a4uKLIJ5GX0gsMVvo6Sx2f268IeXBPj3NnDLIcHDPhgf19Tpwy2DClsNgxuGZri9t2L7BmLGDfYZWXT9qMjYXYRpepcZc1a1/D9u3bP5NZG/71qeX+ybu2Tny7IfDnvv5OAby6FOUaFhaWT65ft+4nNLX2ocbY9h9fvLT/zvmVo9TdZR58XmHHOgdfl86zvpfx8jmFml+wbU3Ko4qCZ+fkhDxxQEekDlP1AlVIa4pmLWP99BKF0mG544JqoRTSsNN3VMYb0sT/3IJCEEmBcJJIk58z8zphoDHTgLGa1Jgu9xIW2jmuLW0mxhsJ88vQXtBJU2kWv2ZSY+24NKDXNemUVXNVchLOXkop0Km5GmGskhUqjqGg6JCKkBOXdOqe9CFMM4VLyw7TrSY37+zzmfMJvcAgLwoOnzWZqsP29Sucumjz8imBavj0w4LXXR/w5L6MqckWV1y1k9dcu/sh3bB+ffPG3XvTNDlZb6z9dv/Y/0LX30mAA4yNNQCOFEVxBNh/8MXezD/5h9f+9snje7fOL7+kjtV7nAlNNC2mH0IUaVxaEuw/rmObCq16wlw75oWXfW7fqVHzIs5clCO9iUbEiYWQzz84xm27HbZvzqEQWLpkL66ZyNi+YY6vv+DRtF08WyWIVOJEoGoqNRNqtuTK7NxUcGw+4LmjJmvGpBXEuukOe4/nnDxbRwid6TGDXmCSpNJvxTLkGHOyJWg0+jy8XyAUhfGGQRipFGg0LJXdsyq3Xp3zycdC5tsa2/MCRUl57gg07CY3bk15+IWIhY5JEKncfV3AxTkb09Rw7ISsyFFSlXOLCi2/zjXXXZ3t3Lr7yGIv/JHrrrvtfFFwSIzmr/wdvP7OAry6ynCnQ0W6fCjLs7c4ljq7bvMtn/jCfV+vXbn1uNteWSErNFp+Qd1T+Orzda7doOI4fT71qIqv29x+TY5q9DhzyUUIMI2AB54VnJ/zyXZKLaQiRBnDIlg31ePxgyln5mBqqxQbLK6ohLEOaFiadONq+ILJRsjZdkAnUEkzA00F3wkJM7jUTml3dLp9jSjRociwDWj6sr+PE1g3ATdc0eOlQybrpwvCWCXPVTnFUWBNy+Guqxe470mTPNfJSHj6cIJFjfVTNb7jlgU+94DD+XmTq3ZoHDimsLgiaAc5eSfHMHzeffdUb+fuN68stIv3jY+vPbtGVU+Ohmb9Xb7+zgO8uhStQVEUJ7ftaJ0+eaF7xfe9K70lS2/73WNHD6fPv3igVRRd/9Rcm5ZtsXtjTKu+Qpo6bJ7R2LK2zVy3S144WAashDlfe7bGzVukpbOu5YCKqSvUXGjUenQCqNsmm2cTcpY5eb7JtdtUclQsQ5oBOZaCaWYIJRuQrESZ5ZkWgjCR8dYyI1InL8A2FNZPqZxb7nPsvMnW9TZ1t8dyP6bT04kSuc1MMlhcyTl1weCN18Gj+6SSR1Uy+nHI6QWbY2cNdNfmYi9n3/GU2WmH9Wt6mLrPjVeO0xrfvbx23cZuUYgf3rJ14xObqLfzjFzX/s8AN/wtnoP/RS5F+nDn68eWlrZumb7HtOvbv3bfn25537v/0S+8922veVEx179wzfZW6HgF+w7rjLuCqbGYZw/lPLRnjCDVpYeK1We6brBuCuIs4sycQZYIDA2atYwLSzn3P+uyZkwhVxI++1jEUicnSRV0VeBbgoaroqmlEgdlsK6vOCgoCopSkGUZyx2FTs8kz6RjVKtW8O67FlBFn/PzOm+4FlotyXFJEjBUhbXjCroRcXqu4OJijX6U0ItkvPldV6hctz3izELK0pLJlesFuq1yqT0e7to884I/fuvz7/zOH33xzrve9m8vntmzUbPX3vPiof6Sqij/R4Eb/g+q4KOXMNaDtBPsnzhxCiG0X9E09VfefPvVarPu/dbRM/3t6/2jt4fJOTXNEk5dtEjSHEOTEStf36Mz5grWTUWcuBiy2PbJ0gDbhIlGwqWVmCCs4TsKhl6w3DdL+myGryeM+wprJhUOn0uZGlMpCm2g2o9ThTDS0ChoeoKt60POzdtMjunEcUFRZBTo+JYUIK/0FSzDZKIZMr/o0Y/AUgtu3q4w3804NZeye8XgDdescOS0RxhCnihsmVZYWFGI8zG2b5nO7rhxzSOLK41DabLyYyRppmkGumEWd979/bi2/u3+kf21Xf9HAnz02rhxPQzjKdM8WfrhK681mwvzl34xSL5qqNmRbNM67/ooyW54+ViHpc4cj+/R2T4jiLOACws50y2FM0sqriMwrS73PGRilob2hl5gWUbpT5hhGykNT7B+OuDZI4LljkBRdCYaOuONnEvLGXOLJmmW0vAFU+Mpj7+UsnGNII6rxQ10Axm6SlGQZwrfcVPAH30hZqGtYtkGiysGM+MdFhYKVrou12xVOH5+hdOXxsnMJlGmPdvL+89dt3Wzeutr744tp/Uf0jRemp1qAPCjP/jt/sn8zVz/xwP88kvoTYAl4J8BnDl6H0KIO5dXum/evi1934WF5R13ZQnthZMs9BT2n4i5Yv0KTatgzZjB8YspdctDXavQCaWFW9MRTDZlRF4nsNBUhYYX4RgmqgpjXsraMYXJ8YjnXhacu2Sw0BWIDHqRxqWedKRyLINMEVxYKmh3DeJMxXVSjp5V6IZjbFwTcvSMQ7MpODUXcee1Be0VE9e12bz5Dt7lmsRJ62XLtT4Rx+ZXFaV46Hvf/fpv9z/5t/X6/xzAL7/Wbrkb4KE4XHwIeDiO4y3rN7bzP/7TT+Ub16/Z9IPrJv991HuZ9esNZhsX+OKjKVN+QU+NWAlAVxNmG4JuDPc9a3JuwSYtFCwjxjUNVJGz3EmYbijYTkY7grlFi5bXZWlBpx+qBIlc/qwbF9x5TYZlBJxb0OklCrYRsdLtsrwyzg3bV3jx5Bh37FpLo5VQm9zKhv7CL415C8fXbHy9mNg0JhRFPQrcMzv97ZOJ/W26/j8P8OoyrBbAPdX/Ly/Oo+lmY3nx3OP3P5ZRQ0uuu2Hbv9Hq6puans5SELH/hedx7IQ1EwaKqrOwYtOJEuI0I0l7GKpOp69xzzMmb78hwjGXWeyYHDun89Zb+3zpUZ1uT6BkEWlm0vAUHMum25eVXdf//+3dvU7CcBjF4V+/6F9QW/lIRY1CRXQAVFBi4mRcvSjuwFvwApgMm5uJuwMxDsbCYAIJMXyopJS2Dq46EwnPHZw3ZzrL6yNiCU4KF4xdg7g5IdlS7gr24Hor7WlRs0Klunnvum7fshaF/s2i4H8w4ymAPnALMB61kSSejYRsSZIcfIxdOq0XVLWH0DUiEZXQn3hGrlozIl9X7eGGl7Fj7NvQ8xSKRR+hf3J+KhCywEpvkz/QKWR9crkRupbSdnfURr3xVAvQNE3++cSsaAYZu4wfRJEV5PKa3AWcaik96xP9C/O1Cc3YTf2BEMlaVbuG89YPV5YEh/mA5qtKMesBEx4dQRgolLJTmo7C8d6U5eiQzvu6dHZkDoIw7MaSl7OOMje+AdyNAHl2YgFWAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjA1OjA0KzAwOjAwlor41QAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODowNTowNCswMDowMOfXQGkAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 18}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 5229949
    {'hecke_orbit_code': 69021466699, 'n': 1, 'trace_an': 2}
  • id: 5229950
    {'hecke_orbit_code': 69021466699, 'n': 2, 'trace_an': 0}
  • id: 5229951
    {'hecke_orbit_code': 69021466699, 'n': 3, 'trace_an': 0}
  • id: 5229952
    {'hecke_orbit_code': 69021466699, 'n': 4, 'trace_an': 178912}
  • id: 5229953
    {'hecke_orbit_code': 69021466699, 'n': 5, 'trace_an': 0}
  • id: 5229954
    {'hecke_orbit_code': 69021466699, 'n': 6, 'trace_an': -2676888}
  • id: 5229955
    {'hecke_orbit_code': 69021466699, 'n': 7, 'trace_an': 0}
  • id: 5229956
    {'hecke_orbit_code': 69021466699, 'n': 8, 'trace_an': 0}
  • id: 5229957
    {'hecke_orbit_code': 69021466699, 'n': 9, 'trace_an': -86093442}
  • id: 5229958
    {'hecke_orbit_code': 69021466699, 'n': 10, 'trace_an': 0}
  • id: 5229959
    {'hecke_orbit_code': 69021466699, 'n': 11, 'trace_an': 1634744712}
  • id: 5229960
    {'hecke_orbit_code': 69021466699, 'n': 12, 'trace_an': 0}
  • id: 5229961
    {'hecke_orbit_code': 69021466699, 'n': 13, 'trace_an': 0}
  • id: 5229962
    {'hecke_orbit_code': 69021466699, 'n': 14, 'trace_an': 8505396480}
  • id: 5229963
    {'hecke_orbit_code': 69021466699, 'n': 15, 'trace_an': 0}
  • id: 5229964
    {'hecke_orbit_code': 69021466699, 'n': 16, 'trace_an': 5095367168}
  • id: 5229965
    {'hecke_orbit_code': 69021466699, 'n': 17, 'trace_an': 0}
  • id: 5229966
    {'hecke_orbit_code': 69021466699, 'n': 18, 'trace_an': 0}
  • id: 5229967
    {'hecke_orbit_code': 69021466699, 'n': 19, 'trace_an': -157497303928}
  • id: 5229968
    {'hecke_orbit_code': 69021466699, 'n': 20, 'trace_an': 0}
  • id: 5229969
    {'hecke_orbit_code': 69021466699, 'n': 21, 'trace_an': 273548560320}
  • id: 5229970
    {'hecke_orbit_code': 69021466699, 'n': 22, 'trace_an': 0}
  • id: 5229971
    {'hecke_orbit_code': 69021466699, 'n': 23, 'trace_an': 0}
  • id: 5229972
    {'hecke_orbit_code': 69021466699, 'n': 24, 'trace_an': -590328756864}
  • id: 5229973
    {'hecke_orbit_code': 69021466699, 'n': 25, 'trace_an': 0}
  • id: 5229974
    {'hecke_orbit_code': 69021466699, 'n': 26, 'trace_an': 122232621264}
  • id: 5229975
    {'hecke_orbit_code': 69021466699, 'n': 27, 'trace_an': 0}
  • id: 5229976
    {'hecke_orbit_code': 69021466699, 'n': 28, 'trace_an': 0}
  • id: 5229977
    {'hecke_orbit_code': 69021466699, 'n': 29, 'trace_an': 327587570484}
  • id: 5229978
    {'hecke_orbit_code': 69021466699, 'n': 30, 'trace_an': 0}
  • id: 5229979
    {'hecke_orbit_code': 69021466699, 'n': 31, 'trace_an': 2099721662800}
  • id: 5229980
    {'hecke_orbit_code': 69021466699, 'n': 32, 'trace_an': 0}
  • id: 5229981
    {'hecke_orbit_code': 69021466699, 'n': 33, 'trace_an': 0}
  • id: 5229982
    {'hecke_orbit_code': 69021466699, 'n': 34, 'trace_an': 18268447279824}
  • id: 5229983
    {'hecke_orbit_code': 69021466699, 'n': 35, 'trace_an': 0}
  • id: 5229984
    {'hecke_orbit_code': 69021466699, 'n': 36, 'trace_an': -7701574947552}
  • id: 5229985
    {'hecke_orbit_code': 69021466699, 'n': 37, 'trace_an': 0}
  • id: 5229986
    {'hecke_orbit_code': 69021466699, 'n': 38, 'trace_an': 0}
  • id: 5229987
    {'hecke_orbit_code': 69021466699, 'n': 39, 'trace_an': 3931216804476}
  • id: 5229988
    {'hecke_orbit_code': 69021466699, 'n': 40, 'trace_an': 0}
  • id: 5229989
    {'hecke_orbit_code': 69021466699, 'n': 41, 'trace_an': 29320071864180}
  • id: 5229990
    {'hecke_orbit_code': 69021466699, 'n': 42, 'trace_an': 0}
  • id: 5229991
    {'hecke_orbit_code': 69021466699, 'n': 43, 'trace_an': 0}
  • id: 5229992
    {'hecke_orbit_code': 69021466699, 'n': 44, 'trace_an': 146237722956672}
  • id: 5229993
    {'hecke_orbit_code': 69021466699, 'n': 45, 'trace_an': 0}
  • id: 5229994
    {'hecke_orbit_code': 69021466699, 'n': 46, 'trace_an': -287506179737280}
  • id: 5229995
    {'hecke_orbit_code': 69021466699, 'n': 47, 'trace_an': 0}
  • id: 5229996
    {'hecke_orbit_code': 69021466699, 'n': 48, 'trace_an': 0}
  • id: 5229997
    {'hecke_orbit_code': 69021466699, 'n': 49, 'trace_an': -403897099692786}
  • id: 5229998
    {'hecke_orbit_code': 69021466699, 'n': 50, 'trace_an': 0}
  • id: 5229999
    {'hecke_orbit_code': 69021466699, 'n': 51, 'trace_an': 587545502955516}
  • id: 5230000
    {'hecke_orbit_code': 69021466699, 'n': 52, 'trace_an': 0}
  • id: 5230001
    {'hecke_orbit_code': 69021466699, 'n': 53, 'trace_an': 0}
  • id: 5230002
    {'hecke_orbit_code': 69021466699, 'n': 54, 'trace_an': 115231250884248}
  • id: 5230003
    {'hecke_orbit_code': 69021466699, 'n': 55, 'trace_an': 0}
  • id: 5230004
    {'hecke_orbit_code': 69021466699, 'n': 56, 'trace_an': 1875678074941440}
  • id: 5230005
    {'hecke_orbit_code': 69021466699, 'n': 57, 'trace_an': 0}
  • id: 5230006
    {'hecke_orbit_code': 69021466699, 'n': 58, 'trace_an': 0}
  • id: 5230007
    {'hecke_orbit_code': 69021466699, 'n': 59, 'trace_an': 525594582592248}
  • id: 5230008
    {'hecke_orbit_code': 69021466699, 'n': 60, 'trace_an': 0}
  • id: 5230009
    {'hecke_orbit_code': 69021466699, 'n': 61, 'trace_an': -2717104562965124}
  • id: 5230010
    {'hecke_orbit_code': 69021466699, 'n': 62, 'trace_an': 0}
  • id: 5230011
    {'hecke_orbit_code': 69021466699, 'n': 63, 'trace_an': 0}
  • id: 5230012
    {'hecke_orbit_code': 69021466699, 'n': 64, 'trace_an': -1950013624623104}
  • id: 5230013
    {'hecke_orbit_code': 69021466699, 'n': 65, 'trace_an': 0}
  • id: 5230014
    {'hecke_orbit_code': 69021466699, 'n': 66, 'trace_an': -2188014251308128}
  • id: 5230015
    {'hecke_orbit_code': 69021466699, 'n': 67, 'trace_an': 0}
  • id: 5230016
    {'hecke_orbit_code': 69021466699, 'n': 68, 'trace_an': 0}
  • id: 5230017
    {'hecke_orbit_code': 69021466699, 'n': 69, 'trace_an': -9246706104197520}
  • id: 5230018
    {'hecke_orbit_code': 69021466699, 'n': 70, 'trace_an': 0}
  • id: 5230019
    {'hecke_orbit_code': 69021466699, 'n': 71, 'trace_an': -8006541529581936}
  • id: 5230020
    {'hecke_orbit_code': 69021466699, 'n': 72, 'trace_an': 0}
  • id: 5230021
    {'hecke_orbit_code': 69021466699, 'n': 73, 'trace_an': 0}
  • id: 5230022
    {'hecke_orbit_code': 69021466699, 'n': 74, 'trace_an': 8080740229741680}
  • id: 5230023
    {'hecke_orbit_code': 69021466699, 'n': 75, 'trace_an': 0}
  • id: 5230024
    {'hecke_orbit_code': 69021466699, 'n': 76, 'trace_an': -14089078820183168}
  • id: 5230025
    {'hecke_orbit_code': 69021466699, 'n': 77, 'trace_an': 0}
  • id: 5230026
    {'hecke_orbit_code': 69021466699, 'n': 78, 'trace_an': 0}
  • id: 5230027
    {'hecke_orbit_code': 69021466699, 'n': 79, 'trace_an': -29494615485594160}
  • id: 5230028
    {'hecke_orbit_code': 69021466699, 'n': 80, 'trace_an': 0}
  • id: 5230029
    {'hecke_orbit_code': 69021466699, 'n': 81, 'trace_an': 3706040377703682}
  • id: 5230030
    {'hecke_orbit_code': 69021466699, 'n': 82, 'trace_an': 0}
  • id: 5230031
    {'hecke_orbit_code': 69021466699, 'n': 83, 'trace_an': 0}
  • id: 5230032
    {'hecke_orbit_code': 69021466699, 'n': 84, 'trace_an': 24470560011985920}
  • id: 5230033
    {'hecke_orbit_code': 69021466699, 'n': 85, 'trace_an': 0}
  • id: 5230034
    {'hecke_orbit_code': 69021466699, 'n': 86, 'trace_an': 47343856790486112}
  • id: 5230035
    {'hecke_orbit_code': 69021466699, 'n': 87, 'trace_an': 0}
  • id: 5230036
    {'hecke_orbit_code': 69021466699, 'n': 88, 'trace_an': 0}
  • id: 5230037
    {'hecke_orbit_code': 69021466699, 'n': 89, 'trace_an': 77767496161290252}
  • id: 5230038
    {'hecke_orbit_code': 69021466699, 'n': 90, 'trace_an': 0}
  • id: 5230039
    {'hecke_orbit_code': 69021466699, 'n': 91, 'trace_an': -12490831731064960}
  • id: 5230040
    {'hecke_orbit_code': 69021466699, 'n': 92, 'trace_an': 0}
  • id: 5230041
    {'hecke_orbit_code': 69021466699, 'n': 93, 'trace_an': 0}
  • id: 5230042
    {'hecke_orbit_code': 69021466699, 'n': 94, 'trace_an': 72055490594397696}
  • id: 5230043
    {'hecke_orbit_code': 69021466699, 'n': 95, 'trace_an': 0}
  • id: 5230044
    {'hecke_orbit_code': 69021466699, 'n': 96, 'trace_an': -84195434433484800}
  • id: 5230045
    {'hecke_orbit_code': 69021466699, 'n': 97, 'trace_an': 0}
  • id: 5230046
    {'hecke_orbit_code': 69021466699, 'n': 98, 'trace_an': 0}
  • id: 5230047
    {'hecke_orbit_code': 69021466699, 'n': 99, 'trace_an': -70370399523689352}
  • id: 5230048
    {'hecke_orbit_code': 69021466699, 'n': 100, 'trace_an': 0}