Newform data - 27.10.a.c

Formats: - HTML - YAML - JSON - 2025-04-18T20:36:33.107760

• 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': 2700, 'analytic_conductor': 13.905967576424574, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1]], 'atkin_lehner_string': '+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [27, 1, [2], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 177113, 'field_disc_factorization': [[177113, 1]], 'field_poly': [136, -118, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [3672, -1062, -3, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513179, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 162, 'hecke_ring_index_factorization': [[2, 1], [3, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '27.10.a.c', 'level': 27, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '27.10.a.b', 'nf_label': '3.3.177113.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta _{1})q^{2}+(199-2\\beta _{1}+\\beta _{2})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '27.10.a', 'trace_display': [3, 0, -1983, -3693], 'trace_hash': 2226999799900162112, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.944', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '23.839', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '295.174', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [3, 3, 0, 597, -1983, 0, -3693, -4503, 0, -18981, -16863, 0, 116916, -503463, 0, -239919, -1014048, 0, -15222, -2548407, 0, 305721, -2927118, 0, 2133732, -4765116, 0, -3535725, -5768790, 0, -6575223, 2687697, 0, 17098128, 17340537, 0, -11686026, 50473374, 0, -4130811, 22213518, 0, 45384414, 57206991, 0, -95638590, -12392034, 0, 18933462, 82984044, 0, 182736492, -80579637, 0, -174735333, -21850521, 0, -102758922, -244026660, 0, 369729960, -166297341, 0, -420692127, -492225684, 0, -252614586, -162270144, 0, 935092377, -403193088, 0, -406626717, 641373558, 0, -39499590, -360443199, 0, 265451856, 1168359837, 0, -884408166, -121625871, 0, 316251216, 2368956570, 0, 219257739, -377904006, 0, 245059140, 1178754558, 0, 86583438, -536878770, 0, -438907539, 2592182286, 0, 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'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1, 0, 0], [1, 1, 0], [0, 0, 0], [199, -2, 1], [-661, -7, -3], [0, 0, 0], [-1231, -233, -5], [-1501, 32, 3], [0, 0, 0], [-6327, -1657, -22], [-5621, 124, 84], [0, 0, 0], [38972, -2360, 208], [-167821, -2227, -258], [0, 0, 0], [-79973, 444, -465], [-338016, 8472, 96], [0, 0, 0], [-5074, 23682, 66], [-849469, -5230, -231], [0, 0, 0], [101907, 22483, 544], [-975706, -44248, 2208], [0, 0, 0], [711244, 37588, 1132], [-1588372, 116564, -1320], [0, 0, 0], [-1178575, -129306, -957], [-1922930, -44306, -3762], [0, 0, 0], [-2191741, -72215, -8483], [895899, -255324, -3417], [0, 0, 0], [5699376, -330888, 8952], [5780179, 428752, 6480], [0, 0, 0], [-3895342, 303456, 9624], [16824458, -53746, 24012], [0, 0, 0], [-1376937, -63704, 4879], [7404506, -420274, -16434], [0, 0, 0], [15128138, 1100902, -30674], [19068997, 155386, -17805], [0, 0, 0], [-31879530, -94450, -33208], [-4130678, 60952, -44328], [0, 0, 0], [6311154, 1186060, 67444], [27661348, 982228, 43248], [0, 0, 0], [60912164, -1177224, 3468], [-26859879, -1534761, 42939], [0, 0, 0], [-58245111, -764761, 42059], [-7283507, 25144, -1995], [0, 0, 0], [-34252974, -3065330, -63116], [-81342220, 2420336, 85632], [0, 0, 0], [123243320, -2098280, -32696], [-55432447, -4850833, -114630], [0, 0, 0], [-140230709, 276180, -34329], [-164075228, 2136700, -3852], [0, 0, 0], [-84204862, -235562, -227522], [-54090048, 5389104, -335280], [0, 0, 0], [311697459, 6690643, 461152], [-134397696, -3010488, 188880], [0, 0, 0], [-135542239, 2361348, 194220], [213791186, -1543174, 351576], [0, 0, 0], [-13166530, 13000580, 32522], [-120147733, -6239431, -42579], [0, 0, 0], [88483952, -4693196, -673892], [389453279, 3145916, 78963], [0, 0, 0], [-294802722, 3094202, -502444], [-40541957, 3456100, -296820], [0, 0, 0], [105417072, -12297840, 884568], [789652190, 1426946, 947532], [0, 0, 0], [73085913, 1055648, -212167], [-125968002, 20852538, -927582], [0, 0, 0], [81686380, -22455452, 304876], [392918186, -20198716, -1390986], [0, 0, 0], 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[-9200647321702, -7078845824, -6652302296], [3960155859104, 26703054192, 9050051928], [-4683223863100, 13967409104, 8825495688], [3843514995599, 153504583861, 13747703929], [519206000546, 299416510800, -10663945056], [8143613123216, 141748036976, 2085314496], [-4605211190167, -96922012268, 2505161548], [-92189393130, -308269516794, -20659056330], [1985209586336, -24569239808, 20510492608], [1027828377071, 240668631845, 18742375593], [4864273779618, -539474870250, -8441246898], [-5550549406162, -133239037614, -21223283838], [-9458332681010, -452449914050, 4064821230], [585954045047, -228669429539, -26850827375], [2524683586848, -236398526448, 21210132912], [5641806562418, 153232668120, 20341290936], [-6889661849096, -210976622000, 6289869096], [1095049566758, -493356848552, -1158703592], [5899523957152, 153486279184, -7617101448], [10859051522216, -317000392952, -7128513128], [-2055452929164, -265077725400, 18295005816], [-15128080710838, 402913081600, 16753555648], [-472700970516, 590360067444, -11082250596], [2035654195790, -436615023102, -16954691694], [18974419996196, -71233425616, 32837879928], [-24731194126426, -33814507406, -23076049646], [8927498868442, -529897536176, -31608252624], [1093342925531, -101513760327, 16435960749], [7736656902052, 333568603348, -16477770876], [9783379161371, -44674721016, -37943613528], [4835226176111, 1000976810513, -21190383555], [4959674763373, -17316997496, 39809671416], [15560731506972, 136266235476, -790412460], [7646433309425, 1352215860715, -20104056905], [22515695157123, -564145849044, -32716363356], [15668615218118, -378474157726, 27820984650], [23356798711402, -29528062328, -35379825720], [6783198586913, 418369415751, 39209610123], [46694832000788, -137565525632, -1483169672]], 'char_orbit_index': 1, 'field_poly': [136, -118, -1, 1], 'hecke_orbit_code': 9007199422513179, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1], 'hecke_ring_inverse_denominators': [1, 3, 9], 'hecke_ring_inverse_numerators': [[1, 0, 0], [1, 1, 0], [711, -2, 1]], 'hecke_ring_numerators': [[1, 0, 0], [-1, 3, 0], [-713, 6, 9]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 3, 'label': '27.10.a.c', 'level': 27, 'maxp': 997, 'weight': 10}
• mf_newspaces •

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

  
  {'ALdims': [5, 7], 'Nk2': 2700, 'analytic_conductor': 13.905967576424574, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [27, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 24, 'dim': 12, 'eis_dim': 6, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772187, 'hecke_orbit_dims': [2, 3, 3, 4], 'label': '27.10.a', 'level': 27, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 30, 'mf_new_dim': 12, 'num_forms': 4, 'plus_dim': 5, 'prim_orbit_index': 1, 'relative_dim': 12, 'sturm_bound': 30, 'trace_bound': 2, 'trace_display': [0, 0, 0, 2940], 'traces': [12, 0, 0, 3414, 0, 0, 2940, 0, 0, -101898, 0, 0, 267486, 0, 0, 1352874, 0, 0, -215274, 0, 0, 1530738, 0, 0, 3403146, 0, 0, 12734682, 0, 0, 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-91376567702238, 0, 0, 82589068404936, 0, 0, -27563778002094, 0, 0, -114926356972416, 0, 0, 85844308580370, 0, 0, 2171740467996, 0, 0, 50129599036320, 0, 0, 15329357519724, 0, 0, -136755080045202, 0, 0, 138393246016152, 0, 0, -11586199189770, 0, 0, 81266753190084, 0, 0, -138325615789782, 0, 0, 24046118185734, 0, 0, 15403510143438, 0, 0, -190278514885644, 0, 0, 93556478347596, 0, 0, -235654217186814, 0, 0, 169490344917588, 0, 0, 195928977852180, 0, 0, 116423796892392, 0, 0, 53415896666076, 0, 0, 70172210541054, 0, 0, -232378059722688, 0, 0, -148134052242504, 0, 0, -102159197170020, 0, 0, -111044528606862, 0, 0, 87706440389832, 0, 0, -59681676136800, 0, 0, -45186722567478, 0, 0, -13339499827002, 0, 0, 5021907080712, 0, 0, 100498813145820, 0, 0, -40141366181514, 0, 0, -225212372440398, 0, 0, -186809571049524, 0, 0, -818855287068, 0, 0, 284488666780320, 0, 0, 302450959739868, 0, 0, 208233934424118], 'weight': 10, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 22209
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '27.10.a.c', 'source_level': 27, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '27.10.a.b', 'target_level': 27, 'twist_class_label': '27.10.a.b', 'twist_class_level': 27, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 22210
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '27.10.a.c', 'source_level': 27, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '27.10.a.c', 'target_level': 27, 'twist_class_label': '27.10.a.b', 'twist_class_level': 27, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 10}
  • id: 22211
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '27.10.a.c', 'source_level': 27, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '81.10.c.g', 'target_level': 81, 'twist_class_label': '27.10.a.b', 'twist_class_level': 27, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 22212
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '27.10.a.c', 'source_level': 27, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '81.10.c.h', 'target_level': 81, 'twist_class_label': '27.10.a.b', 'twist_class_level': 27, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 103725
    {'charpoly_factorization': [[[3672, -1062, -3, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 2}
  • id: 103726
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 9007199422513179, 'p': 3}
  • id: 103727
    {'charpoly_factorization': [[[-3825897975, -2030409, 1983, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 5}
  • id: 103728
    {'charpoly_factorization': [[[90362069875, -63178017, 3693, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 7}
  • id: 103729
    {'charpoly_factorization': [[[30446445345165, -2495944917, 16863, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 11}
  • id: 103730
    {'charpoly_factorization': [[[955953747392320, -16773786384, -116916, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 13}
  • id: 103731
    {'charpoly_factorization': [[[7875363087120384, 262405282752, 1014048, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 17}
  • id: 103732
    {'charpoly_factorization': [[[4462994708562664, -599886952548, 15222, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 19}
  • id: 103733
    {'charpoly_factorization': [[[-4569487178132998872, -934856229204, 2927118, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 23}
  • id: 103734
    {'charpoly_factorization': [[[-4293003942319875480, 3737351821212, 5768790, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 29}
  • id: 103735
    {'charpoly_factorization': [[[-62492650240019533631, -17750049491193, 6575223, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 31}
  • id: 103736
    {'charpoly_factorization': [[[-1047077879527633361480, -88280093334516, 11686026, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 37}
  • id: 103737
    {'charpoly_factorization': [[[3654362317389671607480, -126697103716932, -22213518, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 41}
  • id: 103738
    {'charpoly_factorization': [[[45693288572826916191160, -922994517755364, -45384414, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 43}
  • id: 103739
    {'charpoly_factorization': [[[-10277791691826528605160, -665782616655828, 12392034, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 47}
  • id: 103740
    {'charpoly_factorization': [[[-132145602899448674029797, -969165886601457, 80579637, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 53}
  • id: 103741
    {'charpoly_factorization': [[[-529092626093627389957440, 10798794175553712, 244026660, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 59}
  • id: 103742
    {'charpoly_factorization': [[[-1155782701281291575694848, 40441106001326016, -369729960, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 61}
  • id: 103743
    {'charpoly_factorization': [[[-1913537792585824549505000, 2341428465809532, 252614586, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 67}
  • id: 103744
    {'charpoly_factorization': [[[-983330358019649001584640, 31952365891662528, 403193088, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 71}
  • id: 103745
    {'charpoly_factorization': [[[-649410779968170038515745, 35133728293146243, 406626717, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 73}
  • id: 103746
    {'charpoly_factorization': [[[8342441668663075578999808, -167392077475454016, -265451856, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 79}
  • id: 103747
    {'charpoly_factorization': [[[-2140703035426209727264707, -39129315214744053, 121625871, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 83}
  • id: 103748
    {'charpoly_factorization': [[[100155402365630652917073000, -715058944722112068, 377904006, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 89}
  • id: 103749
    {'charpoly_factorization': [[[-26018968522107461502988655, -130939166593400541, 438907539, 1], 1]], 'hecke_orbit_code': 9007199422513179, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 3, 'label': '27.10.a.c', 'level': 27, 'portrait': 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R5T4yHrx0M2rzNsXa+4aotLSVU4c77GM696HDiecPBcTKpavPPuBu+901BS4xw/V+fMjMPF+ZTZxZjzC4YTi4ab9y/wz354lS0TI0zPjzK/ErC44jKz6LCwknBuLmF81CHt9nj64OJVcXz6nrrT214ifPgDH/xg9LE/+aNvNyT+Qq+/0gx+aa5JpWSIYz5kogN3vvTCZ+RLh0fufPipM86N+2IeuH6E1ZYF9vyKx/yyYGk1ZbkRs9RIubQKp5cEUxOr/OKPLnHL7jIX5saYma8ws+gwt2SYXUyYXkiZbyXUx3rcdU2b2/aCJ0v4ymduOeDSosPssqATQpJoAk9TCVJGRxI0cG42odmGbetcKqUQYwQIj3ZXs3V9yNKqA0YSJy6rbQgTMBiWGxGbplxaXYVQBqFDaoHL1g09VjuCczMOqXYYr0mqgcB3IUkEnVAyuyy5tGSYW0nw/R64Cbfva3Pn1YLJWomllRoX5nxmFmFuMWFuOeHiMpxaMty0b5F//qMrbKjXOD87xtxSiYVVj8VVydJqyuJKxMJqiuMIltuC+2+ZZ/92h6PndiVnF8OnPvi979X33LT/SSH4x0G59u2Gybd8/ZXV4B//s4+zYV2N6YsL/+rZZ5/4B0ePfdPvxAtcv7XHhvFxjpxb5C23LLBz0zjzKz61ckqUOGijMIABEClSGk4vjvLP/1Dwr35yjht2RFRLY1RKVWpln2rZpV5TzC0pZlccHnk64EtPJly5pcPenQnLK12u2hLyA2/XxIlCYPj8MwHzjYBSGnL2kqLdrnLtFSnzzYQjx1x2b5GcmIHb90CjBZF28J2IiQocv1iiXIrxVcJIVbDagluvanFq2mf3Ns2ZmZDXTtl/z93S49ScYaQastyM+MIjZYxQpGnKfdd3uOMGw+yqyw27euza6JLENTrdEkdOB8wuChZWUuZXEuaWNeeXBXPtiOt3L/FPf6jNVG2Uc5fqzC2XWFx1WVyVLDdSVlsxrY4mjA3nFiXVeot9OwQrK+M88fKSc8PVy/ceevFTrF48GD516FLwzFOf1FGso3vv+8C3GzKv+/oryeBPPfYx7rhng/roH5/5pyPupX8yfWFBvXg44vhchx99sMNIUOYrB1q8555Vbtw1woXZEZabPssNj6WGw0oLVhopK82E5VbCYgMurAicUo87rl7mg/dG7JiqsNquMb9cYmHZY7EhWG5YibDS0jS7mmZo6PQSxmsxW9dpQOC7hul5FyF9tk0pdmw0bJzqMLcS8sqJKjdeaSiXVnj15BjVSkQUuYyParo9uGprjz/6Rp09WxLC0DAxIonTLtXA57WzPUpuhet3Jxw8HTG35LFp3GfHBti6PkKpmOlF8FyDEIZt6xJGq5JW16fdcWl2XJabiuVVWGpolhspi42U2QYs9VK2bmrzwfsWuWOvQ+DWuLRYY3ElYHHVYbkpWGloVlsxy62U1ZZhqQ2nFhU3XjXH++4IefiZDZRrXX7ibTHHz0xy6JQI122abN5325YPf+XA/n9x7fYz6Y988P3fbuhc9vorBfDFuUN4XlBqLF/YeujQsQ88c2j6X06NHOSqLaM89coYX38xYq7X5bZ9q9SCJt99Z48brywztzzG0kqFlZYF+XLTYaUJqy3NaithtZWw3DTMNQQzbQOizXvvbvDgLZqdGwKiqMxKI2C17dFoKVbaglZH0AsNUWJIU1DS4LtQ8g31mmFqLMZxe5y6FHHopI9OKrz91gjHXeXFIyNs3wBffi7h7v0+840ugaNI0pixUUhiF8dNWFoqc9cNTb78dJUdG+CFEyEuZd52iyYRXQ6dSjkzHeBIj3WjDqMVQckXeJ5ACUg0RLGhF0GrY1hta1odzWpHs9Q2dNOUbZs7PHhbg/feGYGusrQ6wvxyiaWGa69TA1ZbKY12wmorZaWtWWkLZpqK+WbM7Vdd4l13NnDcCnfu9VheWc8jzwU8ebjFts1N3nrbLtrRzv9z6/Y9f7rnik3nO51e97abrv52Q6n/+isD8MOHTxCUN3qtlVd/Ynb28IePvHZIvHwkkaeX2/zAWxuIeJyvPO3w2gXDqQVod0NuuXqBX/6pVW640mdxpc7iapWVps9qy2Ol5bDaEqy2DM12ymorodHWrLQN8y3BpYZmtN7hLTe1uH1vwrZ1ilrJpdkK8F0JKKJEorVAG+j0AKEZrfY4cdGgTcRXX6gQdkpcscnjjms6xHqVxw7Uuf5KlxOzbRorNW67psMjL/qsGzMcOWf4X97T5MhZn3Vjkq8dUNxxlWK50+T0hTGu3x3x2KEuSVjm9n0eu7b06CZtvvKiglRwatqhVnZwBHS6Em0EqTbECSA1jqdptA2VasyWDSF3XtXhLTcmjFcC5pZHWFotsdK012alKWi0odFKaLQTGu2URsew3JZcagkWWwm37Z3nX/2tBW7dq2i2apydGefw6ToPPxeh1Srf/ybF2YujnLrk62uv3W+uu3rf37n5pms+cvHCTLR5265vN6SAvyIANyaUvW7nXV/76qev8Bz5y1965Fm3k6TsmCrx4mEITZv1dcn8ksNyy7DUlsx2JPONhNuvmueXfmqRG65wWW2OsLBapdEKWG15rLYdGi1FowOttqHZSWi2U9pdTaNjWGgLFtoQpyHXXtll/VhKu2N4x20h29drklTiSEMUw6OvBJyfD9gwmvDqqQB0mb2bFTfs0fhBhxdPdFhYrHD19gq1+gpPH3S5+cqApc4qKys11q83PHdE8UNvavP8EYfNUy6L7QYry2PccFWHp19NGSvVufqKNvONBs8drlNyKty0x7B7aw9km1fOCKbGYuYWYh57xaUXK6SEVBu2b4h4y20RrbZi46jmhishisosN8osN3xW2y7NjqLRljTb0OykNNsprU5Ks6NZ7cByV3CxIWj0Qu7YvcD//VMr3Hylx9zyCKutCivNgKVVj/nVkKmxmDAc4fkjms3rmnS7Lhu33x3X6/L/eMub330yCMpfKAeO/nZj69seZK6s9Fhejn50ZvrJX+k0Xxlz/FU2TYzy8mmYXZFsXWeYnitxaUGjhKHsgdZ22MCVDs+fWMcv/LbLe+5c5gfetMyOjRGzSzV8r0TJ9yj7LpWSQ6skqXZdRioOnV5Ku5uyLtR0Q0Or57O8EDB9wRAlmouzCb5vAIGnDI4UdLoKgUvScbhuu2DXRsPWTR3CtMVDzyuOnhzlrTf63HDVCh99yOCJMts3dTj4tGJTXTFR6xCoElHsMt+CSuCweZ3g5aMRN+wuce/1i/zeF7t4bpU332pw/Q5ffy7iy89WOHymxM6NZbZvSJkcjdgxEbN/e4pSGkfZkLrs+0zWfaLYpdXxePWES7vn0Okq2j1JuwvtnqHdsb97q5vS7hqaXcNqFxY6itkVTaXW4O++Y4HvuSPk2h1lZhZrNNolWh2PTs8BIdgwXqLdq3J+VjI1GlIvlzl30eGRl592b7h65Ff86rrlt9971z9Ik/D3lOP/jwvwKGyD0H/z0MvPfuiLDz8yFqXTTI0ZrtvtUS3VWGpIOj3D+gno9FJ6kcYJNVIYlDS40uArycGTE7x0osyJmXnec2ebO/f1qFdrLDfKVJoBta5Hu+PQym52t+fQCR16oaEXaaLYEMeGJLVHlHgYDVIJXEcQeIJ6VTBahfUTms3rOkyMNnj4RXj8JRepR3jrjS7X7W3x5OGYqFfjjusEjW6X+aUKt+/WTNQ7lByfXqJYaMYoLbhut0O5GnLgWMA9N4xw27UtDhxTYEa4cZ/HT75zmUdejvja8xWOnA/YOqlYP1ZitFpmpAolH1zHoCRoA0fOCNJUECeCKIEwxv6OYUo31PRCTaen6YSadheaISy0JfMtCHWXB65f5l13NvjBN2uSpMbsYoVmJ6DV9Wh3HTo9Rben6IaSVlfQ6Rm6PYdTFwTHLyXs2r4E6QKvvZSOuUb+m/vuuctptTu/Xa2U/8cD+NGzi5xfSH7ylZee/dChlx6ZWl2JOXx+kvlWl5/8rhWuvVJw+HSNpaZECIHjCNxeiqsEjqNRyuAog6s0JUew2CnxsW9s5usvNbl7/yo//MAq+3e0Ga+XWVot0+r6dLpuBmxlj0gQxpI4ESSJXeqNsd9PSYPjQOBBuaQZq8ZsmuqQ0ObExZiPPxZw+kKFul/i5n0Ot1/T5LnjDb76TI1brwzYuqHDH31DoIRPrRqz2g7RBpSAyVqHZstDJyXedfc8H/tymV1zAQ/e2iGKl3js0DhxGnDLvikevLnJlVsafP1Ah4MXyrxyxmPzmGSsJij7As+1D6EUIIRBG7vCxUn2sMaGMLYPci+CbgStnmAlFCy3QDg9rt+zyg+/ZZW796WM1wJWmxVWWyXaXY92164E7a5DN5R0eoJuT9DqGVrthNVmzOELhqt2r/ATDyYsLk1w8HjMoZcfnto0FX3ouhtvMcbM/I4QG//HAPjnPv1HPHCnZLX5lR977uXwly+eOzRRcbrIWonN4y5hqHjuqGb7+pjRWkqcCDACKRVKChyV4iiBIzWuo/Ecg+caSq5gpadYWh3lT79Z4dlX29xx7So//OZVrt/VYDwtkSQ+nV5Au+vSDR2iWBEnkiSVpFqgjUBgkMLge5pykOB7EZ4bcnEp5IsvSE5Oe5yZHkVpn10bPK7aobhxbxPlL3DoVJVN9TJX74T1kyssN2vs3yRJtOHh533CjqReSXjbLT2+8FjM+dkqe65wubTa47XTLlvWjXLtjgWePNji6dcEYeSxd8cYe7f47N3c4tSlZU5ehOePljlxukLZEfiOpOIbAhektEGVMfZhTVKIEohSQTsUNHuCZgyRTtCmx01XNvnhtzS5e3/KhjGPXlhjqVGi1fHpdD0rcXoqY25bYOr27Nxop5fQ7iastg21Sshtew3t5jqmL1VotjXT822WPvuNqaOnZn/5zOxo8i/+/ac/esW6kB/+oe//6wvwf/Mff5/vfkuLz32t8oOvHj//q8srJ+rvuG2JsUqVMxcV9arHpskA5Xg0WwmO1JSCFG0UQgiUVDiOwHFslc11BZ6j8VxD4BrKXko9ELRCl5XmKH/2eI1vvNJj3WiHD9zXYO+WHr1um6t3GLasV4SxS5oqUi0xObilxnVSzs0ZzswKVruazz1Z5uLiKCZyGQ0UG8cdtq132LkJrt7VRMtFfvMLFZaXR7h1r8PVuxp8/RWBSFymRiWVckIn9pBGgpEox6PRE8wtC/aZMvfd2OKpAyU2TnjcevUYf+Odi3zkyy2eP1ah3XNZWq2yY2OJPRs63LK7xfvuaTGzvMznnvRZ6vicu+Ry8aKHqwRSSgQCbQyphlgb0kQzOh5zzb4OYRizd0vI990XMjWiGKv6xHHApYWATtejE9pVrpvLkShj7VDQC7ErQZjS6aV0Q7ti1AOHcxfGmJ72WViJmVlOOTkP5QsLuOqJiV2bd/1qMLEj/on/U/zxkQO/x1U3/vhfP4A//djHuP2eW8Vv/M5j75+ZPftbq0vT5dfOlHjpdI17rm3xrltjJkZHWVz1SbXAcwTGGEq+DcSlVDhK4DoyO1sgeo7AczWBayjFhnJkGAlSRkuCTiRpRRXOTFf41388BjpBJAk3XtNhx/qIJAFtNMbYIo4UAqkEjutx7LzHkZMBlcCh6kkmyoLJccnUmMPGScW2DSl7tq2SiiV+7dM1zp2vc+tul73bU7pJi2cO+dRLLuMjhno1olyyUkhrSaOnWG4blhopjXaJu65e5YUjHY6eV9RrAbfsq/NT71riP30GDpys0O4aVlsOc8s11k+UmRrtsW28x//+/g61coODZ+DYBYnrGpQyCKEBY//PQJLA9vUpd+xPSGOXOPExpkwvcpld9OiGdkXrRaov37qRoBcKepGkG9ppqV6YEkY6A7mmF5lspZAcO2tIdchCE1ajmAfvXuS+q0HoSQ6dPFffuzv6rS//+vbk2r//3Z/4z7/3cfMzP/7Bvz4A//f/6eN8/rEJ9dqpx94bqEsfjVoXg04vYNd6w+HzdX778yWa3QX+5oOXGKvVaXR84kw+KKlQEhwJbtYb7SiB5yo8VxJGGj9KCWNDKdaEsSaKDLUEwlgTJhAlgl4sCVOfOA04erLCK0chNQYLbauNXQmesj0fVR+u3gC1EoxUJKNVxXjdYWoMtq4P2TC5SmyW+bVPj3Dq9Ag37FTs3CzZtXmFb76WMLc0wo07JKM1TeB18aWPUYIklQhjSNKIlXbA3JLLDXtLXLe7xZMHAtaNCspBlRt2a/7ue5f41c9oXrtYZbWtWW0pFlYcJuoVRmslRmsj1Moxk5WYbTdE+G6C6yQolSKFDSYM9qGKY8X8gmNbhhNFFCvCODtHkjCWhJGkF0nCSNgANRKEkSGM7HUNQ3udLcgNvdgWmuIU4gSWuoK2jvipdy7wg2+SnL24nsNnStTKIS8enC2PTAYf/ezPf1E/+Kbtn7732k+mV9/0fd/5AP+5f/lRXp3Xal357Pedm579vZm5Y8FbblREkc/ZGQeRAevjX5tEyUv8zXcs4Xs1Wl2fMHJwlIOjNI5SOI7CdSSeK+xNcAWhp4hiC/Q4NkRJai96UjhSSFJDmmpSjdXbmj64hWDwELngO4LAF5R9SaWsGClLRkcEU2MJ29Z3qFZW+fRTEY8dGmN1scY1WxXbNrhcuaVHKlZ5+PkyFddhclRRLfc4dAo7cb/F0AkV114Zc80uw+yllIUVj26vzNtvbvHEwS4nLioqJYnv1di/U/MvfmyJR1/r8oVHJ1hqGrZNpaw0HOo1xUjFpVp2qZQMga/xPY3vpDjKSi0p7T0wBluw0oJES5JUkCSCOJFEiSCOJWFsMy9RLIhiQxRBGKdEfdKw/SkW4IYwxgavsaAbC1Z6gp6M+Jl3zfID93ucPL+eY+dKXJhNOTer6BFxZ/21oLWq/+DUycaP79svPtma+Y9pdePf/c4G+LtuFrLd7X7/gcOXfn1p+VRw8qLBcVf52XdFVIJxyoGH69j+59/73ChvuvYCt14FUqZ0HR9XaTzXwXU1nqvpuQovlkSuJPQEUSzszYkVcQJRLG0GIRmk/ZJUk6Y2u5CaLFOSZUuEEEiJDWAdK418TxL4kkpJUCsb6lXNurGQydEWiVnlE09IPvLlcaaCgGu2CrZucNm+UbNtwwqffsawvBywd71itAbVcszcWcn8io+3A8JYMDkiqdfhxBnDSlMzuxhw5faAN93Y4ouPB4xXwfc8lKyzf5fgbz04jyvn+fyToxy+GLCuGTNVTxipKKolRbkkKfkOvge+C45jM0xSgBQFkGMf7FRDmgqSlAzoEKeGKIE4Ti0pxJooO4exJs4AHSYW3L3sundiwWosWWga7rpmiZ/57jbnp9fx6kmfMzMJZ2cTjl1K+en3zbFvi8NLR48FQmz/rQPHrnBS4/0Jlme+MwH+5KOfJ0n1jz378sF/p5ILtV7PZ7UlefSQ4Ja9K9y7P2KiPsbGSZ+g3OZTj3Vw/ZBqTRPF4CiN56S4kYvrOHiOwnMdwlgSZcxtGUdYJspYKUkgTiFNbSZBaxtwaW0weR4Qy9xCCJQSma63AAl8KAeaaimhXk2YrHeZGF3lqaMRf/DVEsfO1Nk+4rJrPWxe77F5HezZ2qSTNHnuSI2ScpkcVdSrUK+GjI4keJ6DEPbh6oYey82Y1Y6h0U6YX/HYur7KbXvn+erzHY5drFH2Y1zlIcQIuzYpfuTNi9y0Z54/+GqV516ts9R2mKol1MsJ5UBSChS+K/BdiesKHCVRiix9aFFuAGOMXb0yoCepzlY3SwpxoklSC+4khigxgyO2rb5hYlm7EwuasaSRaOJOD5H0aHYTHnrB8MrhlOnFlAsrCffcsMzd+1OSqMJIucRTL8zUbrzG+7Vq/Rrv05/5/Efe+57v/s4DuDFzgPybX//KFz509tz8eKNnuHJ9wNZRl8PTKf/pM4JmuMRbrr/A1bskd93Y5tiM5MBxxZ7tPdaPG5rNlK6T4Dounuvhu062bCriWBEmkjiWRIldduMky2mnZKk/MuaWaMMA3LZImTE3OMoWTDzXEHiaUpBQDRJGayEbJprMNTp8+HMuD78wxvJKhSsmBVunBJumPDZPCXZs7OF4q3zsMYfTFyrsXicZrUpGKilShlxcMPiORAowRhDFDtummjxPSrOjWGka5pZL7N4c8L77Gnzy6x5n53xcJ0YIF20qxInkxh0rbPuBJg8f6PBHD4/x4tkKm0YFE5WUSpASeALfFXiuxHUEjsIGzlL0ezIM9iHTBptpSS3g+yBPc01tSBI71B0lECdiAO4EWomkFUMvSkg7PTaPN7hpT4dDpzS//tmQbtdhbLzHO+5o8RNvTyg74xy5MM7SiuG6K5dYXpgd75rtv3zPA+9Rr55u/Pb+nSPfOQCfX2zTbHl/47MPfflDC9PPTt16leLUxQqOo9g0aUjTlDMLFX7l4x6PvLzK7k1twjjgpeMBz71q+PqBDj/wQJfvuq3JeD2k0wvohjGx6xIlDmHsECdOFogq4lSSJJI4FSSJJE0FqRYDra3FoEfcWOaWApSyWQcrgzS+l1LyE6qlkIl6m27c5euHDB//5gjPvVpn1HPZv8mwYUyybtxj46Rk87qInZtWOHi2y+eemGREOUyOCGoVQa0c0+ikfPmZgKpnEMICqxs6vOuOkC89a3tiGm3N/IrD5qkq77mzzXNHWxw54VHxE5QUFuS6TC+yWv9H3tRg94Z5PvZok6cP1zm/UmJ9TTASGMqeJnA0nguOEihpH2TL5JC3H+lMqmk9WOGSDOiWICBOBXGaVUVTQTcRdBJBO4UwSkmiiErQ5j1vW+UH3tLghj0xcST5hx+cpR157NgIN13h0uuNc+L8CBfmLEGdnalzclqzc+fTU16v+qEdu75LR73W73pB9a82wMPeCp5/Hlj90XMnX/y3Z488Of7Nl7v83Aditqwb4/ycwpEOSWIwJubsgsuzr0zytRfHiRIbwJAmXHymwrMHu3zy2jbf96YOb7tjlbERjyjyCGOXKPYswBObFUgSRZJmBZt0AHBtMubWg54yIUwWVNo+DsfReG6K78WU/IhqqUtKl0cOSP74G3VePTOCiH22jxo21A0TdcXkmMf6CcnGyZit65tcWGjxn79QIQlLbN4sqFcdahWolWOEG9HsVqhXDUIIjIE4kYz5ikQntGKPVidlpam4uFBi384qP/3dq/zyn/icW6jgqDh7MBySJKAXSdaP+9x4RZNrdrZ57dxFPv7NEl99sc5Mo0TFV1Q9qLgGzzG4Chxpy/lCDHfXacBo+9ClWpAaSFJh8+epIEozYKeCXgrdxJAkMTqOGA+6vP2BVT7wQJO79yfUy4pEl0kThx97R5aVCUssN2ucu1Rhet5jblkzv5QwvWhInR7v2dbizz7z9NS67f6/veeuW5InDxz//d3b1zM1/pfH5n+pAE/iLkJsf/eFM4/9pz/59OdqUkW8574um6aWqPkJvjeO75RJUtf2gCTWIKfUU7RjQc+FXuoRpQHzYZnPP1vhsVe73PK1Fn/ve9tctbXFVF1RqzhEkUeUuCQ5yFOVgVuSaok2EmOsJDD9gBKkyMv8GsdJ8L0EV0U0uzELzZj/8OmAM/OjHDhSx2iP8ZJgasIwMSIYrynG6y7rxiXrxxM2TXYYr6/w8EuaFw/XuWazYLQqqZYltbKmUooQbojvOzjKfr4xkKaSbujQ7cUkWtDqalptw3LTZXapxu172ty2b5WPfS2gtKxwZGwBaRyS1COK7YznRD3gpl1tbrqizfP3znBuQfIHX60zv1pmesnHU5KKK/ByGSZt4Nkn8lyqYJk8MYJYQ6IFYQq9BCJtSYckRqqQjaNdrtne5u+9r8XNV6WMlBySpEKz7RHFDklqjzDyaLZ9FlbsONzskubiXMT5Bc2JBUOt1uGLzzgE7iwxnxt/oeL/p/vvuGWl2ep87i8Tk39pAP/UI6f49eMb1E3Lv3/F+TPHa68dlRy5VGa5I9n0qOD997W5e19M4I8SJiPMLkl8V1ALDEpoyq6g118KJV3XJ0w9lqIyX32xxlOHe1T8kB9/R4Mt4wnbNna5/eoWjlBUyw6IDOBaYbTtlTamwNwYhDQoYXO5hgRkwmtnJC8cdfjic1VeO18lSspUHcVkyTBWMYyWjc2D1xzGRhzG64L1YwkbJ7tsmFzhsVdDfvOLU2yoO0zWoFZR1CqCajmh5Ic8dVzRixzcigWVMYIokQSO4vrdXZ49VLeNT92U1abL4qrP3OIoP/3gHNOLSzz78iSuBESMBpLEIYpdwkjS7jqMVgPqtQq37e5w7zUdfuD+BY5e0HzpuYDnjpY4frpCIhzCUNGJFUrY3p7hwDOrCRhNog1Ga1yRMuJFBMTcdkObHRt6bJ6I+eG3hZQ8SbXkEEUlGm2POHaz/LoFdxQrepFLp+va4lFkmFmIOTqT0koj3nHnMh+4t8WWCY/lxhiHThheeO7x2tLyxSt+5kd+SBnzSirEdX91AP7CoZfYvEl49cPP/sSBk/rfNednuPXqACVczs9LpufK/MuP1rlxzyrvvH2Z1RXNzGINAXiO1YNS2nx4kELZMYSpoJcKeo5LL3Xp6BKtVsq//dgoJolZN9lj39Ye4yMJ3/emLlunIuJYZHpbQoG5yfSnlBohBX/2aImDpyoIx+HcTJmLc2WCkmLEF9QrhlqgqQVQLQlGyopaVTFadRivw0Q9Yd14j01TTVKzyp89UaPbrnDlZkOtrKiWJdWSphokuG7Ew88GhB2JOwUyA1OcSColxdtv6fL4S5p2KGl3U5odh9WWw+xSmat2VPm+u5sceK3MueUqSmogzvSyS5wqwtgWZto9h0bbo1oqUymFXLW5x617elyYb3D20iqOm/LKaYdPfrOMULbtASGHb6LRgMYYQxKlbFuX8IE3dZmopezZZlg3DmniEkZVktRlpelkgFbZKiqz94ooUUSRHRgxCLZMxVxY7nB9tcE7b29z0xWKleZ6pucqnL9U4qUTKdXaOa7evO7fnT7+eGd8w8aPXDj/XLRl661/NQB+8PA5XjlS2q2Scx+uJ0/KTlJmNfbZukESeFAvJ8w1XE6eneRXzxvGAsNEOcF3be45EHmwZ4ObREOQGspaEKcQaUGUSkItibRLrGGhXeObBzWGlM8+Zy0bMDo78ipeliITAiGsuY5UiiR2kNrBdSRVH3ZMGiqupuxryj6UfUGlJKmWFLWyw0hVMlqD8ZGEydGQjZMtUlb4D58KePLQFLvGYbScsXdZUi0llEsRlXKXUqmMryRKZhocKwfi2KXXFXTDlFaoaPc0ra62I3MVj+m5Ee7aF/J33z/Hr3zS4fyqjxAaY2J0aogTlyiW9EKXdldR7TpUAo9yKaDslwn8mGop4sYrIzw35uYrE374gQ6OSrIikEYIMyzKM0mntUQIie8qwKMXOiytOLZvJ5OCSaoKhw3y7XuRsbnNbCmhCXzN++5OqZYlUoxxZrqSuRW4zC3BWNWgdZlf+70D8m98v/zwbZXVJ3qt8NW/DGz+NwPchL8G3mzpxReW3vvxT10UY7WQHds045WYxZUKJd/FUQLfjRkt21yqlLYcLiUoA0oIHGlIlM1d2/ysINHGRvba2MKEhsRg/Ua0JDGSVDvE2ifN0l7FV79KKcARIiv3Q1AyBI4hUCm+C74DgWco+YKSJymXJOXAsQCvCOpVzVgtYbweMjXWZuPUEr/5Rc0ffXUdW+qKiaqmVlFUy4pKGcol61N4aUlz6pJP4Nn2W8g7/QS9yGHHes36iR7Nnke3ZzIWl6y2HKqlgGq5zg8/MM/pS7P81uc24UgHgybVKYk2xIlDGCm6ke3R7gSScs+h5LuU/JRGy8YYnpviOimum+JIOyghpS3ni+ywrSsCEBnIBQ2ddVnqLK7J4ptUywzk9r0N8EU/BkpSkQWr9t/rhbCsK6w2y4SxpNF2WFhxmJ5POT+bsNiKGR3psWldyuHDr4ovv2jee3hp16nv/0ef7H7sQ/9t5fz/ZoA/9/xOL02XfiHuTP/Crbtb8jOPT/C1Ay1u3NPkHbe08d0JepGHNgbfTYkS24GWBzom61/WWmRldDvkm2Spq9TQL9LkZfZUZ33PBrQR/UCpqLmBrJJnAytHahxJ1kMOrhK4jrF5Y0cQ+JLAk5R8RSlQVEuSatkwUkmpVxPGaiETox22rlviueMhH3t0I6OBz7qqplYWFtwlSSXQVIKEajnkuWPwytEyV0yaTPcOyubdUHHzHsOVW7s8/2qdTmjo9lLaXScDuUs5KFEK6nzwnmVeOT7Ps0fWg1Fondomp8SQxKbfT9INHco9QylQBJ7G91x8L8V3NI6T4joaR2mU0nYLFmlbgxHWLCmnhUFwLrLrK7JSvxykX9P8vcyqooJEC/TaFK0RCCSdrr1fYWyHJRZWDCcvxMy327z19jY3XekwvzDKpx6PZHXq4j993w01b7Je+1cfg+jbCvCl+WNeqxP91POv9Lx6VbJ+1GFptcrXn3OJel02jaVIIaiUHJQURIkmTQfFBltZE1mqKgd6Xnmkf9Y6D4RsYWLovy98nyLE81J1XtCx/eTCAtyxgwJeVv3zPUXgK0q+oFwSVEuGWjllpJJQr4aMj3TZOLnCs8e6/OLvreP8dJ2dE5p6GWolRaWkqARQCVJKQYzn9mj0DEoqXGWQcvDNUm2bruLEo1aK6SSaTpj3Wae0OpJGSVFu+QR+le3rY/7FTzT4Zx+VPHNkHQaFNpo01SRpQpToLLBTdH1JKVQEnsT3jHW7dTSua/P9jjIW4MoCXGUyRQhz2YCuzuIYbQQm62Wxg86i39tiSUeSpvSBneq89yUjIJ1nj2zFuRPae7djM9y5TnPX/oCF5TqXllyu2tbGdy95Kwtj/8f3PPigu7Tc+z/Hx4L/6nL+fzXAH3vieR5/5lH5+MHV/9+m2szk/p0lTl90qZYl+3cI1q1K5uZ90sihXhV4nkRIcBPRlyFaDwCrC+DOp8V1lqPt/33/gpOxTF9uF/gnL8EP5Enea6KUTZc52Sia60h8T+K5isC3lgwl31AJNNVySq0cM1KNGKt12Ti5yrNHO/yzj0xw7PwY28ZshqVaklTK0rJ3yVAOUspBTJxG/OHXqkilcKVBiUGaUBuRLesuP/LWFb7yYkQr8ulkAG93Fa22ouE7BJ6P79bYsyXhX/7kEv/XRwRPv7oObSSptmX1OLGNZmGkCQPb7ur7gsAV+J6tbHqO6VdsHaWRyubGpbABfh/gg5JnBvIs06IHYB8AdwDmNBWDfHoB4MX3+QBGnNh7snnCZ2rE4dWTkrklSaeX4uBz8rxmfPxEcOrYl/7+/uveLZaW2/9ofKzy/y3AtU644+Y7P/zbf/jZn7gYhO4PvXmFidFJlhsllpuKsboiivPshV3yXEdlwUheIjZZY34R5MbqaZ0ztelfUGPMMLhf53vlAM97MPJKnlICJ2uoyvvKXdemKn1PEPjW86Tsp1RKFty1SkS91mWy3uC5ox1+8XfHeO3cBJtHBeOVgjQJHCqB7V8pBQklP8J1Qy4ujeIqgZI6S8sNgsw0lSSJYsOoLZ4044BuaOiFmm4vpdWTlDqKwHPx3ADXGWHv5oR/+TcW+Me/A88ensr0ryZODXGSZkyuCX1NEEl6nupLMNcF17ESzfapGBxJJlNAZOcixnOcm75sKXQmDp0psPngIUjTvIhk3yfpoAnOGJiLYX5FEcWadidipZWy1DFEps2dN4S0F18uLS9cc5tYm/H57w3wP/3sV1nulsqLZz67/5rtkXvo1Ci/9Mfwz39ilg0TY8wslGm0XbqhbcO0zU+COIbEEVlJ3WRPuOkDO59CMQVWHwa1+ZbghkFJOu8SlFL0pYmStp98IE8gcMH3NKXADldUgoRyKaZWjqhXukyMNnjxRI//67dHOXRuko11xWRFM1ISVANJOVCUS4JSYB8OW+qPePaIoN3zCBTZQ2Y1eD6EkGpBnDhUAsXtV7d47rUandjKlG6Y0ukqWr7C9xSe62X6uc5VWzS/9FPz/PxvwNNHpoi1JNY6G5YezGCGnsT3tGXvrDfFzR5ue5DJlIGMk1mV9/VAns1PZHKF/oO6Fujp0KpLJl1ModdFE8d6MOAdG3qRodE1XFyWOOUu//zH28zPr+NrTyccOP5Z72d+7MHyyy881Ln+5nf89wf4ysJZ6hOb6r/zh5//z08e7dzzlmvn2bsj4BOPpVxaWeWe/TElv85ys8xqM5vGDrOmesd2/jkJJEow6M0egN2Wjk1fXxszYPK8KNGfVqFwM4RtKBIyA3fWZKT6ALcs7jqWyTwXOwnkZQ1WfkopkxfVUshItctotcnLJ0P+r98e5ZWzU6yvO0yWNSMlqASCSklRLinKffZOCfyEarnHY694rDYCRkcHZfIcLPmSHqeKqXHFA9e1eewFbadoIl0AuSRwJYHr4DoejlNCSs1VWwwf+ql5fv43DE8fmyLWDnHWAWjbXi2T+7Hsdxd6jsRxsiYsKVBOfm3of7/8Icylisi70hgUhAZAH5T5B81bA2DbpIDpn9PUdirG/YdQZzEHLHcEC23BSjvmnm1LzK8YPvGoxvFW+JHrk3tOnDz9O5t2v/9njh2/sLpn95b/vgB/9fhFvLPzP3/67Mnvf+HgKkuLkp1bOxyeFvyj357iJx9s8sANC2ycLFGv1JhfKbPS8ml3FVLKPpsmWdpPpwxF3PlFytlavx5zD/6nX5Hra2+Zd9ANdHfeMegobH+GY3BdO1gceJrASykFCeUgphKEVMs9xkYaHDge8gu/McHLp9cxVXeZKqeMlE0G7oy9A0nJt+wf+AllPyLRIa3IRyiJmzN4X4PnWjVrEItdKl7PtgtEAaM5yHspHU9lW6JIXMfBdfINaA37txt++Wfm+Ie/rnn66Dpi7RCmgijVGYAEQazxXYOXza46zmDkT2Urmr0+2VR+fi40ZhV3MCle/+FYqCAnTTG2Mlm8lQE8n/KPDJ3QsNqGmaagEaVMjbf4nvtX+MkHOyy3S9x63Sr7thimyhGzl45//8S6F0+ZNPrH/10ZfH52nsl1k9v+3a/9zjXN5Tnecm3AmUs+33xG04003Z7g3/zxGJ96ssGDtzR5+02rjI0Y0lSiU5t2ypdDJ1++UpFpbgrgHkTwa/tJBqluM2Dtwk3pL7fZhI7KginHMbjKAttO4tvuwcBNM90cUwpCRmsdRiotnj2S8I9+c4KXTq9jcsRhspQyEhiqGbhLgU0n5uAu+SmBl1CrRBw5a3j0QAVPSlylsyBugJRcl8apItEO990Yc8XONqfOl5gsY8fBshnITi9jYUfhOC5KmqxoZLh6G/zS31rkH/+G5onXJunFJcJUEiWGctbD7btYkDv56qUziSKRKu2vcEqKAsBFAeSFZbIY0A8RjykwucH0Jecg7ZunNXNJ0uoZ5tuCykib992yzIM3RVy11aMTrsd4Ht91g8fZSxWeOigYq19iZOTZa26862e3nT9/6dzWrX/x7Q7/wgB/7MA0hy8F29WZx/79tTsuvXtzpUGUBKwfd1g3DfMrmkZX0+gqFubG+ZWPj3BmZpG//74unlvBUQbP0QhsNiVNDakS2RI2CFrMGnbIl8Q1NRzypfMycAuDVHla0ILBURlrO/Y7uK7GdzW+lxB4CYEfUQ5CxkY6rLQ6PP4q/NIfr+fgyQkmMnDXS4ZqSVAJRD9XbjMv2rK3ZwFe8kOiNKXXDQiUfcikEEOdfHkhxQaajtXyTkgYGbqxKABc43lpNtEkcZRCSbcPcARcu0PwSz+zwr/9k4Snj44z06jRq0jqqaGaWLcBPzvcvkQzWbqQAsAHDN7/vtmXfj1/P5OxTf9eYdawOUPSM9XYgYosgxbFApyYn/nuVb73TsHC6hSnLgY02y7NtsvsksOpac2l5YRm13ByufHukQ3fSG+87uq/b8yJs0Jc+ZcL8Lh1Ed9fufXI0ePvPXn0NWICDCF7NwY0OlWEgGpJMx5pNo5pGh2HdmOc4+dTRsoOBsumoJFSDIHb9As3wwB/Y3BTAHdu95Czt8nkiSmYA9m2WOujkrfHWnD7XgbusTYLK10+9IdlPvfMJIvtUSZHJJNBBu7A6u5yFliWfEnZNxmDW+0d+BEQ8Y2XPVZij3GfoX7svLCVr1Bpaocfar7Dm27o8OyxiFbsMxJrO8UeabzQ9qp7jgW4owxKughpCzQY2LtF8it/r8mXnu3yr353HdOLo3TrDnVPUE005QT82Fove8oaGrl5oClFPwjOz8VAvfhgDsmVPosPD1H0pWVBsgwX6ux/X/Zh3YSi7k3x0jGPZicrVkWKdlewuGpYane5dvcKkQloto9y8fzEe9eNj/5ht9s9+5fK4GGvjeeXrzx74omfO5scI46mODEjiZMeJpKUfcnYiEe1bIOIRFtEVgKf+UWBMAmuo/vMo7RYk0/Np7/zQHIQqbMW4ENBkG1/FYUsgMx6n20azALbUXpgM+GmeG5C4MX4Xky11MVxOjz2SsrvfLnGF5+cItI1pmqCicDKEpsCzPPkKjtExtxF9o5xnJCnDtfpRA4byiarGK5l8DytJokTReAqbruqS6ItwLuxoNcf8LUWDa6TpzhVBkRbfbTKQTBRF3z//W2q/gy/++Uujx8eZzYu0QkktcRQcYwFuZPFIcpkcYnJQJ4RgxBZHJMbCQ1Y/PUAbk9mOI1o1sZQZNkxe0gBI2WYHPE4cc5jpiTBZEMWiZ0m0lqwd5vHVdtqRLHLsbOCz375BG6w7+fe/pa7Xmp3Oicq5T/fEu7PBfgzr1zgq498k1ptZOPLrx6994WXZ3jrrS637KtybrZCFAsCj8zlVPYT/lIaSpntmQWiyaa8TV9T6zXnot4eFHCGF0gLblOQJSYDuM3j5rLEGlPqPnO7yvZi+G6M58UEbkS53MPzOvzxVx3+9e9PcWphDNcPWF8VjPkpNd9Q8aGSTdiXfFvtDLKCkO1fSbOVwMqTxWZKO/LwlMKTph9g5r9GnmrTJh/8lUSJS8ntsb7eZbVTpRuLzG7Nxgqum2ZpPpWlO5UF+FDgajsf3313m5v3LfBLf9Djjx6eZDmp0PFdKq6k5tgeHN8BT9EfhnDyok+28sm+VBkUgLI0/mVypVhoyyVlXhwaLsgNWjSktPe409PMzMf4nrR/VpidFRLCSPLoQoVzcxrldbj3ujnc9LV7DzwvN7bbqydMfBLhfusNsf5cgGut2bDzzu3L84d/s7N6jKWVER492OKH3jLLhslRllaDvo92qgVpOnhKHcdkWnfQ/zC4MG8A7v6FEpflugV5WTm/UAVwZ2Vny+C6wNxpBvIEz7GSxPdCfLfL2bmE3/pShc88Mc7puVFqZZexAEb9lKpvstJ7Dm6ZgVv2i0JBpr19zz44tUrIp59yOHGuRKCErRjmGRQGKB8US6wOjxOHvdvgnTe3+J2HxmmXHWqxoRcb/CiLG5TGcaTNfigKIHcLaLOrwtYJyT/6oQ7X7JjmN744xunZEZaTEh3XoaIE5QzonjT2wcmyTKpAEnIormFIk7/ea5AEGLC55vKKM9h/30pSa0XhqmKfzkDKJCksNA1a9fj+t8Ssr4/y2DMn+IEP7PnNG2+5/h06av25UuVbAny5mTBaVXzz6QObZy8e3TVVbfOmGwJePSs5fK7LW25cZKxWodPzMtsG67uRj4iJHHDK9Jk2D8aH2Vr0pUnxYr3eS2SsIvtnMwC41FnWJGfvFNdJ7OSOk+D7IZ4T0kojPvwJj9/90nouLtXRqsTYiGLMM4x4mnLG3OV++V5mfSqZNMly531we7Z6GcYRJ6Z92pHPqJ9lcfKiU56VyGMLU+hJiR1qFYcdmyOU36MVVel6glKWUvMyeeVmEsXJsx5CvUHwqpgc6fDT7+7w3vtm+d0vNfmtPxtnsVuh6wQEjqLsCErK4CfGsrm0UsXJmVwMVt0+wDHDmZW1IM/+p39/1wA8z6rnD06Y3bf838wLRXEqCBNBKxSsxoY336TxRZUnXgq4tNTi5YPHdvl+afP2nbeeNSYefsj/SwDeac6RxrXJDePiEzPHH3F374hIkgp336AZqXbQJmJqvEOS+MSpS5o4RLFDGCsbPGYAHrooxvpzUAD14AKIQtvmGuZmME+ZA1uIou7OVgmVZgye4qgUz40JvAjPjWj0Ip46KPnjr9b4syfG6aVVPM9j3BPUPU3FM5R960GegzvwJb4v8TNpYgtDWWYiA7jn2srnmUuGx18sE8UufsVcFmDmrzxjlLeiRrHCdR0euLnFxx5pc2y6QjewviOha/AScGONG2mUsrUEKyPkwNwnB3ieY9eSsu+wrt7lH36ww1VbQ/7oq1VeODLCQrdCT3m4rkPgCEoSfJmlUfP0qjS2nrCWxbP70JcrZujWZmcxBOq1YIdBHJVLtkTTNx8KtaGrDYmOGa9FPPGK4tVjhrLfIdQxn3joWffq/bd+Iuw2r2u0Wgv/1QzejcflwsLhW88c/+rII0+XODbrc/s1Da6/MuTxr7kcOBHwvfd2qPtddm9rs30dBJknSJR4hLFDksos/WeZXfcZWwyDO2fv11kDc+awY2c50HW/3VNKnaUDUwtwlfbliOPENNoxT74q+L2Hanz1wAjLjSqyFFAtKequoeZpyq6h7Nm4oVRg7pIvCTxF4NlYw3bo6QzcGt+1+ls5Icen4WIjsIWVTN8OF076BJ7NQVqQJ1oSRQ7raoIrt3Q5dD6hE7vWpiEGL8KCT6WZRMkLNSDX9Gn0S+dZGjJObX/4Bx7o8rZbVvj6Sy0++nCNF47UWGqVaUiPtufgKYEnBb7EznBKgyNMv1ktT8HaeOpbpA/XaPLiap1r89QMhpwjbW3iwjSlWo5wZcKOTR32busyEqS8794eB46VePyVMjdcobntKpfjZ6t8+avfHPmeB8Wtu/fseYhvYR70LQFu4gu+IP318+cvVDxVYsyFR58t82ePQCeyA6n//CMGHcdcuaPNrvU91tVD3nNvm5uuaLGu6lr5kgxcXPtgN0WwA32AF57w/H0/0Bk06FtZolHZdIqSKUqmeHk2Q8YstBIee9Hhy09W+dzjI8w3K4ggwK261BwYce0kT8klkx1Q8kR2yKzlNNPdnsDP2TsHuJPgeQmBF2FMzDcO+Jy7VGJiTOBKnWUixGDQt0B1pt9uaiVFN3TZtk7wwA0dPvNMRDt26caCwDV4iWXxMDaFVUr189UIOSRT7CH7gwq2aupQ8kM+cH+Xt9y8xGefaPGlJ8s8drDKfKNMV3h0PQfHVThC4EqBKyWuMJnUMkhEJrkGgecb5sgLAM9TwKmB1AhCDZGGMDVEYcx4ucNdV7d4770tpkY026cEV20XRJFPpzfGtnGHd9zksbQaMLtUIklgcfl8JU7SX784ffEqoPtfBXAnOoCv22xf1yZwa2xeZ7eDnl+OWW0bWiF0IkEn8VlYDDhz3hDrmIdeavPAdSv85Hc1uGVvlygMiGKPJHWsCU9hKDgHt1l7dUQhY1IAtxQ6Gx7WiAzgjpPiOTFBENMNU45dhLMzio9/bYSHXqgxv1IBN8CpuZSVpOoaqo6m5BpKLgSuBXfgWk9C22YqC4fI/t5kINd9kHuuHU87NaM5dMYH182WeVMo0Q+XBXNWyzMpNpti7Zz37wjZt7nN0YtluoGgnAj82BAqstSeztg7z6bkKciBVunn2bNUpNb53KRLL3IplUJ+7O0h77p9la+82OZPHylzdibg6MUy0apP4jv0HAeppC3nk30eVpurXB6SB9CXB01FyaSxwI6NHUeMjSaNY5ykx937VviJdzS551rYOOGRJGUa7YBT0z5h5nrb6TnWcWBRMrNgmFsxTC/1GP/mUWrVb50qfEOAX7gwLbq97s/98Wd/f0LQ4+otHXZsqnDwRB2lPAI/odazLqNhbFhXMXQjwWrostAa4/cfqnLozAK/9DOz3HttC9ULSBK3D/K1MoXX0919xh5MxUuhrfWDTPF966SapCmzS/C1bzqcnC7x2HMlLq6UODVTAd9HlR0CR1FxDBVH2yyCa/Adaxzvu2Qgzg+ZHSoDOJnmzsDtpviuZW/7YEWcWYAjZ8u4cjg9OKxd1+SK+wME+cCuy75tXa6c6vDq6YRO4lKNBaEDXuYJqAoAl1IgpBxicljb+CT6wWw+QxmnLqHrUStF/MhbQ+6+psnFlSbfeN7j9AWfrxwoM7MUkHZdtHSIPQVSZcGy7cyS5EW2wfn1WHwwbWWyMn4KaYgTdrnv+lX+5U+3uH5XicXVEc7O2F0leqGbudwquqGi3VMsrQrOzMQcPBsyVm9z3Z6YcffgxHe95Sd/7gPz0788MbX5dVMTbwjwY689Q5yk33/iZKdybr7Oy/UuY3VBzTfUyg5CCMqB7VqL8spbbBgNNaMBzHgur5yc5H/7j5p/87dnuf/aLlKmOKmTGc7LQuZEDELsHNwU5IjI3VLt8uz6KXFqOH1BcOi04mvPlXn1jMfhMyWaoU8Y+eB6qJqLrwRlBWVHUyrkgX0n79PI22ZtX7ifyRLPU3iezB4AM9Debmori67V+YEXY3TE3LIkND6OI/GkwckLJWs0eH/pzpZrXZhxjBIXgcPkWIRUPdqxS8cRNtMRDxrGHKWHKpBSFKLY3OwI0bfPSPO2gGxm0s0m4aPYpRN6rB+N2Lou5sadId2oy4+fafDqWY+vPRtw6EzA6fM+ceJgfEUqFQhJWvzl8tVjcAMZWpJNFnWYFHSMSkPefHODD/1Mkys2VTg/O8HiaplG26fTs1ulWEtn6yLciwStLmxdn7Dvyh5TozBWKTO72K48+tgL349Qv/xfxOCPP/Ywq82WevHV4+L+GzqcOFtibsUnbMOIa+2LRx3rUBVlho3WuthW3artlDjVLLYdDh4p89ufLXPHdcuUXIOWSSZP5FAmRRRCcplVIMkqn3Fk6PQsk5+dlvzJV306seLlwwEnL/gstj3C1APHA+WiagpPCkoKysoQKKydmcoaj5Rlbc8VtuhRBLcr8TJZ4nvge2RZE1sydx2N5yZZRTSmFETMr6R87ekqjZbP6IjdXiVvGchxcNkSnreb9rW4JAwVE+OKt93e4ysvdDnfqNB1pZUpDriJwY3znHWWY5epTRdS9DqR/c/Qxil8hgW6lypSR5G4ijh1iGPXplLdmIoXc/f+hNuuCnnPvT2OX5C8csSlGyn+6Gtlzsy6ICSdrkMayax9U2Kc1+vO0oNfFpMBPKUsI37ye5pctzdledFnpVXm4nyF1VYG7nhg42z3GtJoI6gEPhXXodEQHD8NRy8mvOmWQ2L7jmvVo9/8cnLf/Q/+xQAuhKFeq3x440jj2hEfbrxK02hbY3SBQEqNwRZ1Br6A1qwxTgxhqNm4oc3UYoMXng1ZbQs6ElyVYGTSDyjz8sfg2bdZkkZH8MpBh6WmpBRInjvi8oUnAnqxohcrLs16aOEQGxctXHAchO/gSImnBIE0BBmwfWXwlbE94E6W83UGzO3lc5l9cKtsRlP02dtzNZ6XN2ilffb2vBilIr75kuIzz1RRnmPTbUP6+40ZPM+Fp2me8VD0ei7vuqPL555q8kffGKGdBFQyHe7mOjzOK46mPy0kRP4k5ddUFrR+AeD5FLxjmdx1FInj4CSpBbpKUcoa6Y+VEu7Yk3D7nhgjQr7v/o41vU8Fn3/C5/kjHiVfsNhUvPKqR7MjM5VUzIsOkof5U10hpV7VLMUpT76acvqCQ6/n0g2x7ra59XV2zjcHW20Kzs5AFGkaHU2YGo6cSa7dvXfkwwZ++i/E4DOzXUZGg9ozj39iz7m5BXXHvhU2jvvEcYlmx6Pbc4gz/78kEf33+fACGBwl2LMtYt3kPK++q8vpS4p/+Et1tH69mLvwxGdZh9W24oVDHs2GRDqKUCtCoywzCQfrC+yAtD3mrpQWzNLgS40nLRA8BZ4aePRZkA9skl3HDgLkg8dFcFuGz9pq3ZzB08KR4DsxxkRcXPSIwgB/ROJlZW+VdeUNVTHziR4G5fUByK0rVxS7jFYVWyYiPNGjm/h0E0HJsTnivIckL2gpWWxvlf3Psp+RZau0Lpjg6+x+FewfkjSrG6hss4HEjsDFNuXqyBSpEjZP6GzF0Fy1tUdkukhH02gIXjjksNqRKJlj+/VCT/oGpA89HfDhT/u8dGKUjRXJ3o0hyiEr9WcttqnpG4KmmV9OO4RGF3o6ZXKsy9RETzW64Z53P/g9NaPbTSGHZzcvA7gnL5K0nV8+cuz8/Y8+7/LZJ8Z5993L3H1tiys2OiRxmXbPmsH0dyhLrdYDu3SWgoSxeshkXfHO+yL+n9+t8KkvV+npbM0eesIZuCwJ+3dGCHS+5QLSAlpIG+hIa0rjCIErMoaWWdk5A3b/rApnJ5ukV2Rb79EHtx3rslui+J7Ac+i3mFoGz1jcyfzKnQTXjfH9mAuLmj/4SgUcD1eKQYDZlyev01tdyA/nJqEWbNZYJ4pdfvhtXT77WJfDc1XaqUs5sZvS2i5AM5jEUXlNoBDsiUFcY0lTFhq88kP3e2EcR+GmFsxuBnQlB0UzpVKktO+l0Fk8lOIIjTCaybLmu+7S1nxJZHIkl5z5z/nXkoaehhPna3zxGzVUtYoyCudSStmz1VQKXYixttbN3ViwGkJkYnZuavOua3q863aHlYZiaeHM/SfPXPxlrZO//ecy+PSpzyCl9JL4OOtGYCwu8/CTJb70bIf7r5/jb7xjni3rfdLEJ4xcOj1FnKpMR1tWCbyYeq1Nrdzl8EmH3/9ylbb0bIcPmW4TBaD3O3nkZWeR7RpmeyQsqF1h+lLAkfZnay6ZD9UWGokcCj4oOWsPpuoHAJd92eJ7pj/S5nm6YJyT4Gbs7TkxUkacmxUsNAOE4+BLhuSJLPxq+cKd3+6hZjNdDAQVUeIyXgvZtr7L0dmQburQS8FPBW5qcJNMhyd5k5kezFIKVXia8jQsmdPuYIB7II00TqpJlcBx7Oc7WVXYypVirSEzDOp/ph68j/TARCjzWRF9v5W86mz/+7KT8qMPdvnkN7u8erbMJeWSaEnFtcG5EDa9GGtBp2dN97s6ZWKsw9/+rgXu3+9DOsGF2TK9sMex2eO8dulh7/XqPZcB/OkXlxEIOk2Pm/YKAk/RDTUPveDz65+a4Oi5RX7wzV2u3NLBlYqdG0EKhdZ2k0YlNJ4f0+6FPH3Y8KHfH+P8fAVcz8oKkbExsgBsMWjLzN7nAHEEuFnu1RYd7EVw8mpb4azWgDy3iHCUfbaKA8cW3NKevRzoefCZgTuf/nF0X6K4jtWnnheTEPOlp0rMLZRwRxReLk2kGc6gDK9XA2Yt6ONi0acXWgfbB+9s89TBHs0koOM4lBJNlK1QeUPUUJVRaAaTQ3mgObDasKlDZdlbQ6rsZzpakCiBk2auu9mRSDUMcJWxd57VygDeryznAC9kwIaLdPbfSnXClsmYX/rZJf6f3zccOZNwYb6MdBUq+/7aGFyVsH1jxDoVceXWDj/4lgZvudHwzMEJHnqqRrdn8D2foKQouRcxryOKhgD+9Ue+ju+X73rhwFdvrtZaXLerh+sI5lfg8wccupT5wrObePFEjw1jPerViAdv71DxE3Sak4bB8zRHzpd5+JkKx89XiKXNbiBVH8y5Nu2b0ZPdKCyoVd+RalBcUCIroIjixE4OdvpWCEVg931QFHYe8fUAngecue52clliMr093EvuuTGeGzHb0Bw4WQLHw8nkSV6e7zM4wyxu8S2GhqgHrCr7OfE4drnhipDxepfGSplOoigr6yvjKlCpsUdcBDgW5P0Pkv0en35TmzYZmwu00qRa4GpBqiSpskyeKJmlInVB6+t+UCtlgbml6QNbFhg8d8ySa8EuNSpxcRyXN98UsW3dMl95tsPRcx7SU/0LpTVUPc3b7+gxVjGsG5WsH3NJUhBqmUPnJfMrClel3HAFXLdl8ua7b3/bXe+4/74n77jrvtcH+Eozwg/1dx09I68/cyHl2DlJlEoWGnDhks/WUbsrWjf0OHG+Rmg0Tx9L0Ca1CfyCEXeaOqTaQXjSDhsLu4WHEoNONcUADMX3/T8Thb/P2zgl/RyzysDu9EfUBsDuv+9PrwyAnQ/fWvbONLdDX2/nKUHL2ANwu/3uxBhBzBef8Hnq1SrSd/CksP7b/Q7Coj9Lf8CuSOJvYI2mSLWi23O5/eou77y7xW99sUqU+rRTSZAawqTwUIuCTJEyY/HiR70Rk4N25MBNLAN3qiRKacvoUmbWEjojE11okchbJjSDnny7P+fgYTOve0hhkHGK4/hcsTFh5/ekJGl30K9jRNba4eKqMql2aXdduysfhm3rIn7kHT0WGi46EWweN0xOiesx7e/ynPjJ12XwleULlMqVtz339Dd+aPPoKiKeYGkJVjuaMNLsXa9JdTb2nwh6iaCXSLqxT5TaYCDJLxwC3Byc4jIwSwr9xgzaXyUDUOQ9D/0h5cJy3O9bVvTZ3Mkn6HP2LoDdyaZh8n02c3BbO4U1zJ3NbHrZeJvr5AMHSeGIiYj502/USI2P6lcviwHmYK4xz2wMafCcxftTTXYw2xpYKtLUQeDygTd1+MMvhazqmG4a0E0FbkKfxaU0yET0ZYNNF67VopJiU9sA5ILUyabfVQZyx05cOalldJUalJQZqCUyt3yTA1mSy5RhJh8APNfgl7F8bOh085bcfAJoEHDHiSKMbYeq3XDM7uuZpJKxEpSUpNGSnJuB186scu0NKz/0pvvf9OiZcxe/smPbpmGA67SLjsUVnd78rm2bznLLvjpzSyVmlxyWGrDSSGm0EzqhphdhK5iZDVecCuv4mtrdAdKCr8ngJQpdgcPl68FynjMBl7G5FMPtpzlj556Dqu9eNQC5UmvMbjJg241kRcEfxTK36+aDySZj7kGA6RTY23cjDpyUnJgJMMpFSYkn9ZC0yh/uoTh6iL6LGnwwAJEXfewNdtm1MWbfzjbPHC8RK49uIggkuKnBSUQm3bIpnCTT4UgEmuGPFFw2SVVwMhhkV6wOT5UFusqsrS3IDTItGnfKAbgLUmWIvSn+TB/sQ222WV9SagYVV1tbsX7jdpNaa0nX6koaHcnyqmG5mTK3nDK3mhIEC1y5b3FXGIVXREn0lcsY/PjZBuVSzGsnBd940ueqKxrcd90qOzeXmZ6vcXraY3ZR0mgndvuR2BR2uc0qTlmzepJbQhT6vC/bvi83632dpTx/32fxYhN+Duq+9wl9cCtVYPKCTZuj5BDAi+Y/dtqePrD71co+c6d4ji3s2KmgGEPMJ79RZmmphPAdm3cvrCyX9aAMnvGhFKHWw6w6lJvWijh2mBiTvP+BFgdO1gjTgI7yKKVWi+ftrEqSgTtfK3SWE88bczOpskaP536PxW0FczNNpQ1OtkIona9OJhtOHgyZFIdOXq9Xv9gst+Yy9B+41OR7Kw02E4sTmQ3R2K0iw0jSCSWNNswuJpy5lHBhKaE20uP+2zpsn1TW6DWdx6N3uUT52Kc/gzGSimoyXqrw9WerfPWFLu+4rU3Jidk8Nk6zE2AA39VEibXgilNsmT41/YHRKLHjRn0jxiFXKl6XxQfgfgMW7w/CDtyY5Br2LjrIWhaXKGcY4J6TGQC5+daBWYXTMbj9UrzO3qdDh6Ps5M7hc/CJr1YJpYeSKktZDnuyrK1gvlEzUp/FC9kUnTF4kjr4qcP739rj9x7qcPB0iVi5dKTES3WWPRLItHjNDEKKvjTI1ufss4b3LSoyeaqtV01ugOpoQyptXUOlpm/WWbRdlv1Mju4D/DIW79/f4QxHcfDa2tjJy0Ad9XdiznrGI0G7q1lsJOy+Yomrrkr47lsTjB7l0Mkqr7x2nE7rNHEy+CwHIOpexA02lh//2q/uOHVqhZJycRzBhXnJlx8vUQ0S7rza6tVyoPCcgeljEudWYfYcRuBmG4jmHhi6cFGLLN7PjxaZXA4zel/HFxh8iMXVGoCrYR9ClTN4VuQZAndevnfzwWRtPUP6I2L5TGeSHTHKjThx0aEVeaBse4Bb1N9i+IHtg/x1S/UF2VAopQ+Y3GrxiivYs6nHwRMRqfbpao8gtT3bTqbBlbCrqC0s5WMjuh9kDph8TT++BqdvbGr/TGWMbq+n3Z1C9llc9Nl7AHAxxNo2W1Lc8Cr/Pib7/EGAbWdSBWGS2fsVmqxycMcpJAmZaadgzzaXu673KfsB88tlzs96nJxOWO0mNJNtO/7pP/xfykdv+XudvVdusgCfvniJUtB8a4/Rnz86vUwSjTBeL1EJFDtjjVQ+oPA9y5CDFk/62z6HkaYXpVl6KZMVyWDHhrW7LwwxuXwdPZ6bZw6x90CaDJhc9N1jrVVbAdRqeBdjV2GzKhm4LYAHpkBuUZ4U2Vtlc51exHJL8x8/VWWpGyB82/vt5Xn4fowghkD+Rq/+xIvObDKGNLjNqCSJQ63s8Hfe1+LrB2oshR6RdOhKiZfNUPavdw6wLN4hSxvmlWKDzsCtMcg1mRWRMbgFsdZZEK+za6xMP2t1OcAHgWJxXnbtiFtx+SoWm6JY0osUnZ6VIb1Q0IusMrA7Lw/6UZQUeK7ipaMTKEnWbagZG4nxyy327rrx5w8eOv5kL2x/ts/grxw8TOB7HDo2z+x8mam6y0QdXEehtQKyIoqyKSiDZZx8s9AoUvQiiduTSJFgdNrfaNTmus3lg8Rr5UkR2Pn7okyRA7/BYamSs/hagNs0l5NJEqcP8Fxz635Q6Tq6D243m+UcTORbcLsqxvMiPv4Nl9dOlUC6SCnx89ZYMdhNor9HfPYLvmE3YYHNB76MA5mSaDtyliQu+3d1ePfdTX7voQDt+HSlhy9Fv+ijpCAWuQXy5Uwuikw+NA876InRCpSxq4I2woI7T8FqSIv+KTLP3FDQ4mJIYhZ7+dc+6cbkgx4ZwENJuydptgWdnu1KjbLGq9wZC2N/r1bH3mOBfThdByZGHSZKDnFrhrNnXiFNo4FE0QQkxkcph5v3trllb0w3tJPynZ4iKViq2T7jwZJqbZEF3UjQaCu0to5MMh7swWM3QB1q+B5UtxCvK0+KLK4E1lYsZ+5vCXA5AHi/0JMD3Fif7EyKuGqQLXEL5kADzW3Z23Wsa9VKQ/P5b1ZZbPgQZNkTMQjA3kiisHYgwBRAvjZtl6cM8z1xUrs932hN8d33d/jcUz2W2j6RcuimMktPiix7swZgQ2rfsnefQftsPpCQTp5ZUdl7mf0sIc2ArrMVKs0Dzkzz99l8aDBcIOTgHlsnrsG3GjzMFkftrmClmdLsJIShNfbPExb51uNFY/40FbRDu8V4Jxbs3Qrv2SaoVVyi2Eoy5+TJk9RHRre/cuiFv7u8MkvNN3TSJRxPECjFzs0uzY5tRE9SNSgrZ9ta2GkRGySsNBXtjtWCuZMROZtlv9igZ2LA1mvfD6wKRCFwKzL3sPd3ccLFmrszDO58Z4OcuVWBuS9j8NxuYmA54ShbuTxzVnD8XIDGR0inP5w76B4cfjgHWY3BL17sRRkw+WDjp6FtQfJxs9QB47B3W8SuDT2WjpYwqWdZPM1y/oUsziDAKzZ6ZYI7b6MF+7MRheATtBw4/A68CzNdLi2Ly0I2JRU5uAfnHNRSgtCFiaw1w8o5PpSyadooTrm0GNFsp8TJYJ+mIQ9yY4jTzFKiZ1g3FaJliioLRusply5dZNOW/X/39tvvfvnc2eNnnV6Y4vXC9Yur6dueeGmeMPH49JMOqTE4TsS77mjxXbc02TwV0A09OyVvsuHhQsea72m6YcIrp0tMLwRUgyKQh9pO1qQDxVBAKdZYh8nsZ6u9M5AXAG0ZnMwKuJgHLx7ZltaqCO4CyLP96l2VsXbG3ir72XFilIr50jNVTiyWwBvIE7cQ/IrX+f2+lQgftiAWA8lQ3N0sb6ONHHZO2NaI5w+XQdvxv66UuGlm8pkOSyUrEUTB5ztPG8rMoEcwNPxtBFpm72UGLJkfwrK4Nv3VU6/NHOl8BRF9bS7E4M+K+fB8BZfSTkqN12PmV0NePOcQ9RwCz5DvdZoPLqfGbi/eigX1Wpf3PrDMu+4I8aRLmkoUkvnFkHpFvy1JovVK6bNO4NkbPV6D3Rs8FlZdVlqaXgyNpuE//GmFl0/M8uH/dZFKOSBNFdqIwRMrDUomXFrWPHnQ4+GXKpTJ5IAj+sy2VmeLtX8uB2xd/Pt8JKvI2Pn/r1IZyPsSZQ24s27CfofhWmA7A4OgvsWbozOQJ1aeqJhSOeKZY4rPfrNCt+dB2cGRAlcMS5O1AebrefoVZcpl+ntNyrCYF48Th5Gqw3vu6/HQUx2eO+ZhKi7d1Lcdlv2enTVAEkVwD0Det+cw2KAzf8CUZfNUWj2eAzzts7i9F2k/owJSF6Rl0ddQD8dSQ9kxaaf0HWmvea0U8sDNSxy5pPnKCyPMzJXtpBACrawAMMaQag2mxy//7Yu86RqfxaVJmp2AJFQstCRnZ7qs3wnrI023Z3DiJCZJI3phAkh2b/FQ0mZHehEYN+SqKzokso2QIY4SSBdeOeHyzec9okQgHcETr45w8MQ4vutRq2p0Iec9JDmGflmBGNLdog/wof//HNiZFu+ztxKZD/gA3PnZdUx/20DHGVgoO07eMTcMdLfP1vZQWebE8yLiKOWhp8scPl8G10VIhSfoby5VDC6FHGbxHNvDDlSFcn1uXFmoZFqQy74Wz9OFUeRw1daEt9/Z5pWzJcLEI5UuXa3wUtZ8lzwXzhoGt+e8jdaotTl5jVYClbOnFBgFMn8Y9aD+oCUFeZLdx+zvZRHcZiDddIYHsP9tftYGxkoev/ijq3zv3dM8/ZqDcm07yDee93ntpItUVmZJEfPEAcPc7DhKj9MNBXFiv5Pv9ZAiIY4j0iTCOfnap9HaoeQu8sMPrtLsQJLYwVXf1ezYtMJLZzRv/982keKBsABbWHVYmHdAK6TjIlyHMR/GAls0yZet/iHEcBqtwHZFwA/9fc7eGZOL7Oe+6U2RtYcAPnBO7QM7A7r1+DN9pnb658F7NwsuHRXjexGvnhN85akyna4HFRcpxFBqUPVv9Joq5mX0LYoEnqFcDPv5rS34FBqwotilWo14+x0hn3usxyunfXA8Qi3ppVlGRYNKB308g0A308BpEezDq4mjGEgXadk8X1VkxuQqA2wO9DwHXizESTMIMvvsXngYFFZ+CEBmv2uUKJqdAATccEWXO64OcZ0YjebH39xjcTXbU0hohEj40J+M8uHP+eyejPFcyxhxCottybG5F9m56QS9MMFZWbmEEIIVHVGvxEyMztANbTBZCiIefS3hn31kE4srIwhX2Z6EDIzlisGTdqomUMb6jHh2at3JQOgUq41yAOyiHBmwXwHMBc0tcsa+LAdOv8Eqr7I5ecOVtIDOPcIvA3d2uIX+Z5seTOyRTe0kJuWLT5Z4/NUSBHZMzsvliRgOLvuZQbgsBXr5q8DehTG2fDfyPJBPtRwCethzuXd/hwfv6vDaOWvFYYSiKxzctNCtmQ5YXKTFjMrlTD74fINSWcpQWja3PwsLRCmy6mYGWGOZWkmByApDQps+SQ2les0gUDXZyoEAkQpkIpGRQggPbSS9yMXL4iCpUqqBZqRsMrsQje9H/Juf7fBPPzLPkbMjBMpm78II6qOKRHc4N5egtcZxvYSSDycuSD79+DjLnZSZ5QidpigZ0Oj6RHHApjE7MuXkjk0MtGfeg52Ph+Vzj44z6OzL89j55lCXy5ZB910xY9JncVWoaBaqmY4atM46fbCbPnsPgVuZPqDdAqjzzInNmNizUjGeG/PyWcknvlEFPJAuQig7EpenBoW5TF/mMcSgSVasARiDnhSKzF3Q4MbuGqxVZv2QjbMlqYMxDh94U5evPd3jhVO21z7Wik4qsoav7LukGWsXDPGKa0i/R0hdbrWmDNkDaIGtpEQV0plKDeRIzubaZPdRF1a07M9kBm5ViD3ssP0gq6Ozkr0XOv0dmfvFo9xbPjN6KvsR//SHQ1q9eZTSxInDpYURlldcXjkXMb0s7Q7Ph06OoqSkE0aMlDosLHnQ8ywotWBdYPCretAlJwcWDzk7FTdbzcG+tvlpCNgFoA8VePo/iwG4ZQHYhYg9Z2+Zp+pUEeSWuV05rLmHWLt/zgs7Aw2uVILrJsRpwqPPlTh0sgSuC9IGl17fzmxN3j5fcV5Hg1/WC15402+dLfSIDHUXphKt8oYkhzByuXpXj3tvtSzeTS2Lh8Kjp8FJC9mMNE8X5kHR4CEz+VPG5QDPcG/PGoy02lwamzjQWVWxqLmHsl86TxMykDA61+35CpHreps1ShKJilW/Gl6sitK/1gM3Abuxln3qAgUVF6a7mi2jgq3jVug7Z+cVjlKstmJm5lJKruTqLbYpSRs7tq91gY3E2htmz/kXKeapi6V0WZAZQg6DegCOooRZU6ovLo1yIEkGwWU+tqazTErO4AVwqwG4+7o78/obkifKdg2euCT46ENVwtiFspvJE/qjaaq4S/CaVOgghTKE7WHdWwB6UabkexUNMiprtbhDxZf86Ns7fPHxCscu2ocv1YpOqmyXYSr6foIIg0gzJk/XrCQ51AsB52BPUrtyGmGQxoJbSqvPRSanpBSIPIjUhQyKHDB8X4tLi6kc6Pk27YkUKG2I+6V/ZTsR14q6PJ+f4U5r256ttcB1NPVqh93b2rR7MVHqIIXG+bmffP+6g6+d/CePPfkcW66sEni2V1obYXfdDa1zlc7SIsPuoWbg6SLyxXi4KDMsNSyo+1YHQ0w+vJVdEdhSrAW3GQrulBpsWdI/54Hl0DYmg/dDutsZBrejYiKT8OlvVHj5RMmO+wgHJWzl0sl6sIvDxUWZUsz3f8tXcblmkCo0WRbFaG2BPQRyidYOUc/lhiu7vO9NbX71jz262gHtEAtJR1upYgM8C2rZvz/DmRVjyCTKQLIYCUbZ99KAGZIWpq/JjbSgF2ZNHGUK4DaFVS6TN1LQZ/I0Y3qZZm22BW4oNumZArZzV7Aogk7PeqgbI/G9Cp5boV7V7Nl38z+Z2rDnbzkHjh6ve/LSO97/wAUqQZkk8exEcyKZnvM5e8mlG2pbBOuHJZkWK2zHrXXx2TJ9bT0IIsXlQWR2Qdb2n/RL3mvBnTFmHlTKjLXzRqD+dhyqeM6Z27wOqC8/KxXjOjHHZyQf+3oZ679i2dtqbwaNVQV5ZuMSBt2R+VFg9n4jzxr9bRuuhntD8kyKDTwzYBuJThWpyrR46vDBBzp85tEyR6ZdkBFGSMLUpUOW3chjmzQD9tC0gRmC+6Cdwgxr8eyQxSPX19r0V99cqugiaxfua7EFOh0KRPPvKfoAzve919lcQXHXvRx/vdBwbjbm4qImTuyKF+sUV7b42clL76iPpnVnY61Hr9PjzEzIbENzYT61dKxKVB1B1StRKamhvWaMMVmjTG6tZUhTnYHcZBPyBYPGgo7OdyEuypTL+r+znOpgB95Bx5zKgK4kWQUz32NmsGWgKsiTPtgz5la5RMl9P7Kg0pGJ1d4qIVUJX3iywpETA+0thOxbVgykyXARo5/rHvo5DzSHiLvwfjCAXDB/GhR99GDyXecgz0r4Uexw1RUh77qrzamP+USpAqFIhaInJG4mUwR5oFt4n0kA0we66NOkMQLVjwlMlhM3fXArY2WLMQItLGPrXMYIYyuaQ23PYlijF2sj0mZS8mtnGOxtH6eQxHZTszS1u15TSBs7SrB/V8it1y7iuBEpcGG2xPSMw1LD4eQFF2ex7ZH2yihR4dxCyueeqlP3BJNVyc6NktomQ61sfaqVYzWSNnagITdGDCPrJZdme8vnPD5cii8WdYZBfVn/d5HB+/vGDHKpSgw2eLWT3/nPBZnSB/cgoMy1tur7fmQFHmnTUUqluG7M6UuK//fTNXrStewtnMLUfN6Lvra5aE1j1Z8jT4Y22irkwnWh028QaMqBb4qSKK1ItUOSuvhpws++t82nHi1zasYBmYBIiYWgKwSqUL4XBYlyeS7cDDH5gL0H4FaFB7CfJsw6D2XWUKfz1KQurtx5EWhN3aPwEBS/RqJtq2wYacIoJYx1BvCM+JR1IhupOmwYD7hiS42JepdSqcsXnoo4fb7MSFmzbqSHI2XCYjfiiQMp80tVbtzsMVWX1KuSiVGHyVFBvZIQ+FbD5hsIJYmk3VU02rLfsCNT0+/7Lu6xOFSdXMN4a98P9TYUdW6RwQvde6qQQemDPAss+zutZWw90N+55h7sCOGoBNeJaEaa3/pcjYvzvpUnwkFIOUgNFr5n/31BigxnUMQbxphDQO8Dvjh4UNxqMTfukZcFnEnisHky5Kfe3eKXPurRiK3VsTGSUCubNkyLma8s6BQDkA9gPtz/YTA2kwLIIptnGOhr7VxTm+H7aYStXNqGK9FPQvRJTl++8pnMqi2MNe1uQrOT0u3Z4RljLC5cJfA9O3ADDivNcUZHUtaNRuze0kY5Teq1LoYajoMDsY+nR7l+h0+9YreqrpahXk0ZrSVUgoTAT/CctG8ZoI2k0fI4OV2h1bV2ElLZC5Ez2dqqnniDn4eBv8bQpmhw059aL7SoDjH5QKL0d1qThYByrWOTSlDSHo6KcfyYP/uiz29+skao3UyeqCy45PKh4tcpy+eyRBT/8A0gboq4YriiWZx6MWuqm/1WWqlIpUPgJPz097U5fs7jd79gtTgoUgQ9IXGEsYWfTJe/EZMPQD3I1ZNLlVySGIMyViLkjC2lQRprP5G36UpZYPP+2bI4iH4jVlHGFGdWMYZmR3NqVrPaEVk11SYofGUouZpKw7DSTJlbUlTLikopYLTqUyv5SGokuoyzbixmohyyZ6qFqyzAAs/u3+67CZo4M7qxdgmOk3JqRnHmkkualplf8Wl35QDQSrzuEvStAF5sDhqAZ3jOUL0RwAvMLXPWlpnmzjemcgYbVBW7BAdnW7VcXoFPfb3MSpiBW1iA9+3hxCA9+UbFndfFsxgG9aDIwVCGQPc1uRjsZ6RltiW2XgNuK1W0dkhShxEv5b1v7vCZJ8sstRTIGIwk1i6dvkwsFH6Ggk0x4PFCpmQQXNrGqkHl1Wr0vK/EmEGPSX8vzCI792XcAOhWwhTYvFDqV1JQLikmx2M6sssUEWcuKU7OeLhK4isoZcapZkFQcjVlL8F3rMtuojUPPiDZutnFOXtJQRpRlheZKNdItCIUCVonzDXg4afsZkhKgVQujuPx4vGAI6dLrKu57FmfsnEioRw4SFcODQQPBRIMAwLMG4DdFB6M4S26B5bBRfvgPDWo+wWegStTztxpoXqZ575tSlBlaUG3nPDFbwY8d6iEli5999o8uCxULQfH8EMpXu/4liSeSYRiy2x/W/NBikwX2NyW8CWqL1dsRsXRCbftj3jnLR3+4EseqAhbb5ZEwqGbzfTIftC5djURGVsPB54DLW6Z28jBSjNgcQtSo+0sphDCShOGrwNiuG12EItlBaRMvriOoFISXLVD8oNbIibHVnjtrObACYXrZMkFJQhjxRefKtHr2dSWtaIzVCsNtq7vsmtjgrN3G5w8r/jdz1foxCN4ruw35/QiwZFTLmEiyRv4XSkp+4INFcNESeOpwTBx32Wq4DRlp7zXpMzW+qOsAfgg2jbD6cECqGUuSwoM/nrgVoXUoFR2oyqV6W9Hpihpjd9PnZd89ItVZlue3e8681F0BIMdG/LvSAHQQ7/DQHOLIobfSH9TYHKGpclQVTOXKkWZkrN4KtHSjrWtq6T82DvbPHnI59ScBC8GrdBC0hMSpQUyM4AVl7H4sFzBgDLGBhh58EnO5vTlSr9LMCczM1gphnZJJr8+xaqkyOoiVpujLM5MtgrEiWKlMYokYM/GkBt2RvY+Zr9EnBhu3hHTjSwjCiHwvZjVVpd2knLsrME5Mu1yfqZCu7mOwC3jkM3Apba5/dotJrP3sh9qS6QQeFAJJNWyyjz+hB0Hc3KQmyzNd/lWegwxm3kdoBeHWAtDtUMsfrlEUa8L7oFDqgV3BnKZIJU10QxTzX/+eI3HD5RsA00xuBS5+efggR2KFdaydT+bMlzoWcua/bRgUbYwrMWHgG2KbbS6EHAqZKpJpINKHO69MeJvfaDJL/5njzCRdhBVS1Lh0iWrJOegG+oVH3xTk+fBi7q83z6b5celsdVMm2NAGGPPUlx2Xxm61yIDe05+gjTLjOREGSs7Wd9oKTA+ra5DyQ/w3MFu2fnAshLWOz1JBWki0GhqXpWpuoPrJzgb6gl1R7P+rYowVrS7dqI5jOxe6Z1eSje0lm06m+bInaGCbP/2kq8GpvHZaFie5RDS5CTwugt0f4RpaLkv6O/Mg2PA2uZyoKuBd95acOeleNXvMxnobyUTXC/hGy+4fObxMmHoQsmx2jtjb7+fGhwOLoc1uFizQhWCznwe8XXoe1BuySUCw+DWg0asPnvndgtaIrVCGZ0Z9diMSqmc8N57u3z18S5fe0GBivtPW4JDZwjgObhfh8kL848W2PY+qhzUmdwxYAPNLGMijVlzX9duUGX6H5EHo1KKzKpCY0y+uttyWartQLvvKVxl/84YiGJJJxR0eoJeaLEaZlvdrLQq3Hmbz6YNDk43hGYvInHmuf6KEiatsNTw6YaKVkeyuKJYbGh6YWpZXGQ+3W5hiz1X4HkDfz+byRhsN4dYwxBm6FL2n+j8qR9OEeqsujkAdb4vfZG5B5vBFmWJHjB2ds6DSqWsS+xq2/DFJ8scuxTYknymvXP27u8RKQbsfdlgw9AKVQT0t9An+e025OMqwxmUPpuvYfB+JkX3U4ZSKNI0RUqHOHTYvT7mnXe3ee6IRyPKyq/a6vFYKHpZjeL12mf7D58cMLmSw0BXDNjcdhAO2FvnD/paQK9ZuYrTTjKbDkrUwD4u1cpuzBVLuqH1cHcygOsUOqFgaTVlqRHTzqbwF1ugRciOTavUKjuoBClOnAhm5n2++fQotbe2eNutF+nFHgsrHscvBHSiEaqxh6PsHF/O4LmZvO9l5jnZ6JurBpXF/mS3KN4407+pOvtlhyuA5nX19+WsPex62mfyvhwZmLY7Tqa3M9ZW0o6kaVJ+/0slfvPTFYzItkXJ2FtBITU4KM2/oTzp68w1IH8D9i6eh2RKrr+1KVQ017TR9quaWWZFSlKjUFoTpy5SaX76PR1Ozrj85mfsThw4tgNKa5s6FDrrG6KYNhyAXPW/fCFLLgp945kOl/YfweTsncuzNY25ww1lw5dj0P5sSBJB4gjS1BDHkiiR1pJEDSa4IFMYcYdWFHLskuLSiqKdwDtvNrznjoCxCRepJM760ZSyTFnnQ6wdPvqIpFaJOXIKHn5GsnNdyA27XAJfFibUB5PqfbNKN5+SyTyyZR5cmiGriYH/h41f8oCiv2T15UnRIozLtHduFzbkYZ2ztlzD3EL3izkq7zdxY07OSj7zaIV227PSROb7QQ4KO/3trNdkUIrZkb4cKf45Yg2TXY5xs+aHYd0rKA4iW3OgjM3loMJZPNJUIqX1NKxWEt5zX4eHnihx8lIW8WsBKLQQhFiLTtH/AgMmL2pwCjGByqRJvoeYEcZuN5MVYMzQw276/2JxuHpQuMr/9bwIaAbztJmDsesY3Fhn9te5DZ+1BvFdwTvu6LFr6zxffsbh0BlFuQJLK3U+9vUyd93isW7KxZkaT1lqpHzueU2jVeLi3Ai+61DzDHvWw4ZxhXKgEtitPez4F/0xMDcfJnAHwwR99s40WnHb6iTNJsaF6RvOFJerfpApDEX3pL4Bu8o0ef9zhk3ai+C232VQrcyDS0clhLHmq89W+PpLpYE0ydhbioy9ZTGwHJjeDOf1xXBQ+ToB5p8nUfpgKubGC2Vxo4ZZ3AwVfzKZoiVaKHSq0UKRhA5vvj7izbd1uPBlh1BLS7UiBi1IsFJlwLSvI1f62TGR83CWKiwwekZAaDEE8OK/OvA/NNazsgB0u+qZftPasBNCwf5a6b5LsO9JHOlwdmaCOKlx0xUR9+xPCLyQcwsRlxZ7EKSEicDZf1N9NUpaD+2arH5PM1DsXZdtcqQEvmsT7rUKVAK725jr6qFpmUF/9aA8rgpmjLnvXpJK4kQhE7upUNIPqgpbCRZcSpWwhZtBgFkMLguSZO37PpgL7/vgtvpbegmPveDxrz8yQqodu7+JyBhcvH5Zftjzek2aEIaDyyK4/yJAv6zDMG/AGkgSm38enriXUg/1jGuZgd1YsyDP0/zCT7Q4Nu3y2PMK7WXBQ/alEhx6gr5cGWZw+8sZsvZZRD9tmH9PJQqyJS/DU1zFip2BFty55XaS+b+Y7HoVd+1wVHFKrLhzh3UM9qPcp16x1PDwXa8/USZlSifWBE7poVJ5dNX53d94Yg7Ev7ruSvd7PJngONANrU+cEALP1f292d0ikGXe62EYtKBaxhzs35g1z6SKKFH0Qo/cvV/m+c588rsPojWaO5/geJ2dBgaMbRjaFUzqLMc9ALUty8colXBhUfIbn61y9qIP5RzcNu+tpE0LOoI37Pt+w6JOX3+uLfS8vlYxrydNLgs4xXBWZQjseZVTokUmVaQiTTVCOCSxZsfGiJ/+nhanz7icWykCXGCEJNZ2b0uRI7U4lJxrsH7mI38Msi8tMzbPPT7//+39d5xlV3nmi3/XWjueWLmqq3MOSq2AckICASbHARzG43EanGd+trE9d+xxmAt4LgZfB4yRwQQTBCIoAgJFJJRzS63OSZ2quqpOPjut+8fa+5x9qhsQJgh7fvvzOarQrQqnn/PuZ73v8zxv0pdJD/6eps0cxdANBa0QOpEkSPoYMHuXNLYU5hyX2Q5lf6aSNS9sJXDbCbVGhGObg16rK2h1zQtlfKxAaWH/X8TxvmNWO+hiKVhoxnTDLqOVmNGyYmrUNSPZNNKs34rLvHEZPcgLmMzhzbVN1ZTC5G9EsaLd8ZitCYJQnXTQEGSVcZBvn1SxczRl4CCpFtOT5OTKncphYyfm4zdU+ModRbSXB7dlqregt61hMajNJPBUA560HYg4dcFehO/87987b6bktr+7J/d+jwfne+G6x8d1vnonklgoZJIQS4VsK95wRYdn9jR537U2gRvRV0JJNBZBfhW3zIFc5L5/VskTjFZF5ERa6ee1NIdWcpoU87owQ584MRFrh+uSZmA2huj0z6U0O5OcbIGv7G/R66k3c/4AK7UkKmVai+VKRHUkYaQQU/RDQu0ZZtHpgOsIZucl2/e7DBUlF58Rsn5pi0oxwHNClIoRAqLYnGizlYFS9DUejhVSKoR0o4jjJxI0MTI1LcaJJI66FH3BXM0nDA0Pz3qp+ZZbnn/nOyQZyGWelsjsjtEf8JwE7l7nJEKqmNsfcvnYLUU6sWUmlqK/+U1JUsfOYMZITz8h+7df835/aJHn4YOHze/FVfp0JJMaD7jsUxGTljnhVTa6z842QhgOnoFcGr14kljEwmyI+/lXNfn2Ey7feMzsIU1froaGJDZBXrmegjxrFZK/s2QUJbWZ9a7Uf6klZBmEPZlsCmIVwkI3plCqU4w7oM3mMqkkobaZmfWoRza2Z5ksdyn6yWEpG+gERm0oU1+sbwuGC5plU5ILNimqPhxZkMw2lOHwsw0TWD85FHLBphCwWTbRZOnkCe7blrDniEJKjU40a5eEXH6WJopsE7erMmt/SKMb86VvWTy5x+br95fpdF2E7YAydGSkEPOzLwXfcXuqMyU1qP5wIO+gViI/hs93TJKTKIpUJx8wZa5ySxmhrIhWV/AX/1Rhz/Mu2jbmgMXV25b0NyecREv62u+8RHYQwid94ruCXC96Py++Gqjkp1AZnurAmci0oyIkMjYHzzhQrF4S8d9/YYFv/55DoyNBRGa+nh4odGIR9GtuSj1SLo7h2JBmmvR+nTx96YOw1zgQOcmGFPiuZNnSLu+8ZoGhYti7q9pORCvQ3Ha/y5N7XW57oMxCy6UjHISy+l84Drlya421012S2KxP2XvE4YEnK7DLZWbBUK5zNgasnurSCcByvSkKymKuscAX7jnC8UaHJInw/CF2HvSYr1lIAe1As2yozn//T4d5/WVNtBAcOCKYqwn+8YYCzz3vsW13iXbXo4WDLS18W1KwNCVb44Waux9VbFhhM1zWeG6CY6c/u9S9SWZf4913T/dpSO5jqdMNvCeD2/DtPve2rYgohr+9vsRj2120lH1qIg24pVikGBQn8+7vJajqqfXybQSxGM65/nCOgw8cNBd3UvJAXgzsjLJojc764sJU8ThRJqdEJOgkYevGkHe9qc4HPlchiNNXcG7DSZIDeXbItLMKnjpdMgEWmAOn0KInIRSYmpEdHDM64dgCz5FUSzabVpWpepJqoYPnBnjpSkbbDtj05oB20OWZPTV2HLL48I0lTtQcnj/sEIuE111e44//Y5fxik+7YyOE5kStza7DHQp+TBw5HJ4pUywuoVwqE8cx1htf83oKhRI7nnuCzm03sP+Yz74jRYZ8GHJgasw4qzuR4PnjghtvrxPGMfuP2nz+zhK7DhZohR6J8MCyKLiSSRuKtqZgxRQcKHuaakni2pJ2F3w3DaiXCYnq90MHgtXloHAqO0zmAS3zFKV3wMxX7vR9P+YbD7h89AtFam3HrHjIKjf9zomTnebzg6a8NJbvBOyTC3evF76Yly/i3tkHA63CTNykc5qQ9O8YCW2aGZh1WISxjsWJRAjdO3AKkVVzCxEllL2Q//zmJo9sc7jtfgmFjIuLXglOEkU3+/5C5A7AOv1Y9wzmGX2xpEAkRlWYJP2CC/2VMq4t8VwTdH/gaJFGy6ZUCPDdCM8JcZwQ1zELvs7bGHD+5i5vvXKGnYcEX7zLZf8xxSsuDSh4o+zYN0E3VCipce2YdVMhlVKHfUcsjh5zuPKlF7Nl8+k0Ww0sy5YIZVEsRkinScFxOXuFpOhrHMv0HF1bUvAE61a0uOTsOh+60eODnxlDuAWE7eJ4irIS+JamaCX4tkm38h2N70DJE5R8iefI1PIment7ssrX13lkXZAcuHvVOx6gJPn10ieJqVLuLe2I7Xst/v66Ujz7RwAAVkpJREFUErtOOOlEL6MnZjGtEuSyTvSpq3YO3D2H+mKw53UX4jsfOBfjfYCmLKrcA6aDXtU2B0wt+txcZMMgaeS0ssfF0w6LVCRRzJrhmP/y1gb7jlrsfF6gM5lk9r0AnSgCRPop8/2S1MmjSd/2okSyApXONvpfJjedNobzREO7a3LkwSQVd4MY37VwHBvXjnBsZ2DZ7mmrOpyzucUHP+vyPz8yziUbR1k/VaTgSVwHPMcMGUt+hG236CQNOnGM65ntbNZYNaZUipg5LPClyzXnmBFpvWXj2uB7gpKvGR8OOWt9lxiLbXuL4FZwfZeiJShZCb6V4Fm6t1DVtcBzBL4rKLiComcEMypniOjpgnvxD/2etsxZzga5d5weOvNgTzm3MG+lipEywnZDjtYEf3FtmS/fUUTb/XZg1vNGSKzF1Zv+9NKcDQa134uBPTC1XMRQFpX0k6nJYmDnKmOvYus+yOQiqmJ4tzH8mh2T5hyTcXEpZPp5hYgtLEvzhsvb1DqS3/+rYY7NS/CyKk4qj9XoxCKUqWVOCJLUjJylXWmZ/Yw5M3PGuxMGB3kYK2Mcm0DXZttIsrMkqyCSuIGF68S4to1tRzh2hGs7BKFNFcXmlRFSu9z9uEN9IWC0qih6Et813ZdaxyZOithKEoQOR+YUraaFFcYeQVw6qqT39TUrhl5OMkMUVxmu2JT8mKIfUy0GLBlvUCqe4J++6vDgsyMUXZcRD0p2jGeBm63hS5sTri3wHHMH8F2J5yncdPFqFnm2WBHYoyVK95SAebmrzHFtsyc9e/TbgTLl35YVEaC56b4C33yokGpN0rag6HdPLJGbWp5CY3JqQJ+i/32qAv19DHkWfy7v+DH+x1SfIk/m5TrXZellCKbgjoVKzzeaRGjiyDicXnZeh1df3OJTt0qCCLProzdaTAc6iSLK6A+CWGhijPm6v46w3zfPRu5xYmIhjCRDp9JWs2+nG0paHeO80ZrehrXAMRvWurbCsS0cOyZwLILIJBqcs77Bmy5f4NqbCjy232P5cES1AEVPUPAkAYJ2HLJsbBhLqK+PVdyjc3Eb9f73/zXnnHv+QrPNwrETvOPQ83WmxiRrlzZZtaTO0okaEyNzzDZqfOZOxT/ePEk3KDFZgiFPU3I1RUdTcMB30qrtSHzXnJp9V+J7RlLruQLf1XiuNiItu7+yz8mtE7GyDWcqzgE9p+/OU5ccJZEqQYkYZUXEIuGGe3z+7MMV9h51+y1BaYFyQBq9tyvBS4Pss303Zk12fwdlf8qWEwYJ0RsA9ZO80vTbLOhI5vPMc3F0Iu85ZTBOodee7N/pVKrrGVytmF+PTU+WfPIhuP93sh3yOoHhcsSmtSEHjyl27lcG2+IUrz5hXkwxZrVsonsv8f7bAcqWhT9l/e3+89WPCUkHTYiTRGRmR2h+y5yZynq24rTVHWzVYs8M7DlucbwhmW1Au5tQ9gQrRxPOP2slSybK//X553c9cO55l5odPUqGaC0ZKXdZWplnzzHNrQ/Bqy9t0AkT7nrCZdfhEZ7eW8HBZkU1oehoPMcEbTrZTnhLYCthPmcLnJS/e64y1dzOL19N9+Lkxv359SEDWm4Z5ySx5lDZq+AiQWTVW6RaEzvm4Izio18s8txuF4o53i361EQJTlogdarA/t6YPgPQYv7dq+J9FeGphVbipGqtOfnqDVbSjw01GWwV5ulKbzubSFOmFnVYhFYkOkFqZQLkhSYKYjauCfn5NzZ46GmbfcclvRjatEVoGtsJiASNIhSSWAgiLXA1uKloSmuRLWNKYZutM9GoSBBJE8umlEYGMUoYLqTJZAfarMEJjSzWDjW2pehaCY5t0QksuoHFcNnml1/T4JIzZ9l9ZJ67nnDpBoo3Xhzy+E6fR3b4LF0RMDXZodXJLaGaWLoJz/PZti3kprt2MLMgmJlX/MWni9RaMLfgUHEkEx4MF9JDZEo3rBTcWcimne2Ct826N9eWBtyuORBka7OdbD+O3d9HuXgBVE8BmNGSHrDjFHQZyGMDcmH+n7m65K//pcxdj3uGX+YPlSkH7+kfMhCnNWnAyX8qqsIgLRE5fiJOeidHwUUG56wNdwqmogVaJycLrnqUJH/Y7BuADdhlbsQ/qERMEmEOmiJBCJV2PBRxS3PF1i6/8dMN/vxayXxbm+yHBPOWDOCxUXwJRSIVgTBxcqEW/dQpw9x70tueQlBqwigTqiV9T24G8mxYFUNkKYLISK6VkumWEIVtW3iOTavtUCl5bJrucs7aFled2abWtAnDYcqexfppOOusJWzetJlOt9UHeKk6ydZNS277/A13vddSI79/9dktxkebfPBGh+aCzeaJtGLb4DrgWsaili0p6gUs9nZSSpwU5K4j8ByjRPRcbXQtKTVxs1XZtnnYdoSTRhjbVtSXt6aHSCGTtNLG6W03reAZ6GVCW8I/fKnEtZ8v0ohTtY5QJ1VwKcwvb6VZg4srdX48P2i7OnlSmVX1TAf9Qqh3HuT5SLL8IbMP/JSPczKwkzSUJ8lV9STl4SI9hAqhzWRTJGlQjyTRChFrSnbEL725ybETkv/3U2XaPV1Jkj5XSaqDTe982twNY2GRaLOBL1QQ9yh8f8yfbVzOqJJ5YpLeE2k4uomHjmJBlEZu9wNbNUrKdHlvgmvbzDcdfKeA75UZqbSptUM+9KUCkyWHC05XOGL2vSOTp99GvL8P8LM3T3PzF/6kdfWZau+B8TZP7avx+AGJn0hOm9b4rtkSbKqzAbBlyZNuw0KY9dl2RlFsQ0tcRxuA2wbcrhPjOgmOE+PacdoWMuC27SgH7ig1mUbpwdKAGq3TJ0wbZijTYYYFz+xw+czXfephqhLkZHALYQT9majKUJO+ejCLjMurBxcbi0+SxYqse/2dTpzfA+XZuxnQ9SDws6I6WMEXHTTTA6EQIu2g6F6kmnlBKJIkSfvjCoEmDhPKbsLbX97m6/e7PP6caxoq2jy/fQ1ClM7h00ODUujEJpIWTa2ItCBSafSFziaguYpO3oSsgbhnfjFdHlPFTfTz4BMoBWZ0b2tzAE0p7sy8h++1edl5dWYWYh7eM8kDu4O9H73xPa2//8s/6AMcYMMZr6NY8Nj/tbs5cPBRqkWf89ZJHFsQRJooMuPWDLiWMr94FOt0WWcGcJECnJRzp5XbNopE141TdaLJXTFvQxzHRBbbtln8ZNshtjI5LFJFtENNJzEB+yU3rXNZuq0AYQme2mXzrvdUeGqng7ZFj2sPPgxAjR3tVCN53aOh+c7JSRRlUQVfzEcWdQa/dxVfXLGz97PJoe4Pfvr8u+/fFLrfD5e5Q5sQkkQmCC0QqdpQJmYYJNO0LBFqzlgX8HfvXuCX/qLKUzsdsDIxenZuEJRdjSUFQSJodlVvEqyVQ0c7hFoSZlPVgRFt2i/vjfazpVeZ5t2kw8aWxEoHRXECUbrlGG1osMGe0QxFkSaILFzbZqhcZHqowdlnbGLVuisIwzYnAbxUHsV1fdavLCAujBkdCrAtzcyCZPdBnzg2LgrTBTG9btA0O4K5mjR70mVqY0uBnVXvjJZ4rqncrhPh2RGum4LbNpMsxzLbhD23iyVDGp2EPcfNE3rDnR4791ssXxLzpqs7OJZmejRmpGLQUI8FH/pSgcefcYiz1gSLD5f9wU5eUNU7WC72WS4C+QC4F7cNB5CuT4H67wZy0ePPvc+dpC7MPs5NOHPVHLLBULoiMOXdJnHKVPNMuJUIgcjAncY0y1izdXPAr76hxbv/yqKRepVHKgnTozG2pXnT1R2WL4nZudfihrs8wkTx/KzDQttFhy6x49K07JQC5RWjmSS6D3ad3pcG6JlRcSGlWYI2V4vT5WgGV56r8FyJYyuSOGLPkRYzCybVwbMtfqpc4qLJEZrNVu957AG8HSgsx9m191hh9zOHvDWbrWPUOpJdB2zqNZt1S12Gy5pqKaJSiBiuBDhOwCPbC7S6HkpKs1raole9PTfBs80eRM+JcZ04fRvhOWb3u2ObRU+uHVD0uwjVZfshzRPbLR7e7nLLAz7zTYsTC4qwDZaT8JEbTJzcNS/p8rOvbrNuVcS/3OTx+W94dHsZcKeu3hJ6G9IykOe7JfnDZWa+OCU9SYGbdU8YAPspDp7fo3yfXMH7SVLZn2d5gH07mx7g3UKcoruSq+4yzZA0wDaxDzINB9KJxks0b7m6w46DFp++yWPtqpiffXWba17SpegmjFY1lgNBW/KuN7RYaApuecDhwe0uT20v8OzBImHo0/JcYq1MrnnudzJ3nH5qrfmlkwHKZ1w9koILR5OQJ/bFuJZktKQp+zGlgmKoDOuXx4yONnnmeUG9AZds8Tl3s9pdLVm7XKsvSFfZOx/8wPs58/xLdruuN77v+bnLb3+wwbefGkIHRZZPWEyMCCaGQ6bHOqxZukDEHI/sDbn9EYeo258oeQ54rllGlR0qfTfGc2OjO3Cj9G2I5wa4TkCp0KFYarHvSMQX77b4y09V+fBXhrn7sSqzrSLNrk+iXHBtEqFoNiVzNclDj9ocPCZZMprw99cV2LHPNqVZ5JSCsn8rzTQnXq7nrdKet6UW9blzPed+hRcDnz8p6F/ke96LP873wrM+8WA/fCANTPT/XMjF7+enqovez15vac97McUadCbpfjdKmMNfuaIZrmh2HVH83s83eftPtRj2NEVHEoUO3baHThwKrsVIRXLJmRGvPL/DWRvb2FZIrR4zNyMJEYRSoUm3ruWYinnbrwj939VolDxXMDGiWbuiTj2oceCE4MAxG6HNgNCywLYd1k07XH5GzIqJDksmppheuvpv52Z3fmR6xUUnV3AA13YoFrxbwo772iXV0bMu2iDwXEGpIJgcDVk+0WS4Os+huSb/9NUi9z05zGTRZsO0edIsK6MkRi3oO3HKubPqHfYqt+uEuE6Xkt8miLvcu03zl5+scOejZZodHzwXUbWQ2b+uxqjlZASibUT5UczYSMJZm0Pe8eo2O3bbzIXpCbJHKvoOFiEGdd4Z/1Yy68rmqcji6j1IU3oHzEX/SCeX7RfaU8koa06tl6Mm/dbh4BSxF/cm0gqdO7glWiO07nHybJwvM0VUdifInh+pmWsJPnWzzxPP2Bw/ISGEKFCEoUsQeUSxRZLI3k+sZILjhFx6esC5G+rc+Wib//2pkIf3lGi0Syx4XrqlIkkPoIagJNlBNOMxIjFxJJbsGdFXjtv87lsj7n32OB/9aoX9M2W6kUITgYYTCxaeM8zqpVXGx4YeV/bQLYluDzynKv/BdZ/5JJdesO7A5LB+yeaV9bMXWk0qRY8lozErpxpMjs5y80MB7/vcMM/tGWbCt1gxBkNli3LBouQLCp7GdxMKbnyKyh3iuwGeG+B7HSrlJgkd3v9Zjw98aoT7nh2mK8rIQgHXtinaiqIlKFqCgiWwpCJBGsNJJ2TN0jbv/vk6LzkzYNV4wpM7LXYdskmEzFXwftaJJQWuNDt27HR6mR00+3t/+sut8vuAhMytQexV2pMruMhVa5O1950reD6kdKCq5xhWPl+7x77SF+Di/UCD/Xo9ULHlQMXWaedJ9zpQUiUkQvO1Bz3e+89lnj9k04kkF50RMFIRdDo+7cCn0/XohkYjEsZmnXgU2QShha0kG5bHnHdmi6FClwefUgQdQagUEWZdsRigcLr3UVY4zAYPkSZdKXzXZsuKiMvOrFELAh7c6ZNEEluapoVy5nlij08Q+Dc/8fT+v33Dm35hAOADFRxgy+YRlJJ8+bYZDhySXHiaZnq8xdLJY3z52wkf/OIEuuuzehQmhwQjVUW1ZFMuCkqFhKKXUPAyUKd8O5VEek6A63Tx3S6u02bXoYiP3lriozeOcqJRQhRcfEtRVOArjZvZkqR5IsIEFgLJkUCxemnAn/5SjSu3BiR1wUQ55s/eVefJ/Q67D+dft/0qblqD/Q1pA3x7YLCTu7Vn1Tnv3uE797sHqvz3U7kH3ul/nA8CItOlsEijkqvmhovnp5kyHeykC6QWDYH6dkvNnuct/sfflTm+YENJcvsjRf7HhzT/8xcbjFcUrbZPq+MSJTKlPUlqaYyxLZswsnFtm41LO/zGGzsU3WN89JYu2w9XaSVF4sQiTu8scU5nk/RCP5N0zC9QUqGERaILtLuKFZMOv/36BaLoODd9axRL2SwZlWxaabNmRUQjmUD0xO3fBeAbt7wKpVSwcWfAZHE3m1e2aAQn+OOPOzz63BAV4bJ8GkYqkqGyxVDZoloSVIoJRT8eALehI0bn6zkhntvFd9uUiy1ue0Typx8e5eE9VTqyiFWyzcoUS1NIVYlOunczy1nRGtyOZrgc8Htvr/HGy0AkPkESY6uQtUsjJkci9hx2eyLODJF9egKKwcFO35rWr5K9Ac+pKMipAJ391e8D2CcB+VSgPsXfGaQtuY5KkuaU9Dol+bahTMVaiTlU5qhJ9oscPaHYddBBSxssm45WXHdHAaTL77xVQFyk0TLG8UwYZ6kkjda2CCNFlO7y9L0Ov/rGDhdtPc6f/mPIbQ/FdP0Sc9oh1ill0fRyL40oizR3MUrN1BZBbJmYto5i6bjDL7+ixnnrj/C5O0Z59kABhMu5Z63mba94RRDHMf/t174HwAvFScpl//emplZvHnL2XpHIY/zvzxXYd7DM8hHJxFLBcFlRLVsMlSWVoqZcjCl5JlM865K4meQx5dye08X32zRaHf7lmzbX3jDMwzuHEF6BgqMoW5lJQuNmAE/VibbVlwWscASXbNW89KwytXoBSxndMBocJ+DX39zi0WcKdPJkGaM7yaIgFpsXBiv5yWGg381BP4j2Plj+tdepR/h9KW0f6Lr3uSSbyWjRe3uqSp31xqUQaJkHOXQT+JvriwSRDZYDykMqFyElNz9UxlZw5ekuri2wLLOj0rGztwrXjokimQLcPHxP8ZL1bf7Xr8yzdlnAl+4OOdqsMK89Qm1yvKMYwkQQxpog1gSRphtl60sS2l2LdkfRbHvUWxaTIy5XnVlj5cQ8f/npmEYwxurVq+9cvmzZ73Xbze9dwSuVAgd33lzfukk+d+3noksffbaqolaBs1cJhkqSatmiWlIMlcwGiHIhougbfu06mY4kwU6nkq5tOHfBb3G0FvCejxX56M2jRFYJWfQoWYqKnVC0NJ6t8Szw7FR2m05CM9ltwVOMVC0qvsXh4xbD5SZFv51ytxiLiJFybJzdi9Ru6UwzR00Ghzw9LpwHPotSrBZh919dsV8w2rO2Q/qNBhw+Ij1EGnD3BFi5Kp4p92LRX/eXaEnS6z/3KUqi4URNobUCaYNy8W2LcSdhoijo1BQ79itGhxRFL8F3sziRGDeShLHEi0W6WsWkbCXaAH7z8jYf+M0GZ62PeM/HYvbPVah7PlGiCBKBn2g6ETiBGeh4HU3D0TQ7Ec12QrOlaLQUtZbFQqPIzLzL2FCHX31tg+O1drz3eOG5j332G/X/9PaXfW+Ag7HkH5ttvMu1R19yxkq2stwGJL5nKna1FDNcDhkqd6kUOxT9Lq4dIqVOF3OSZgJG+G6AlG12Ho/4wKfLfOzmMRKnjG07lC2oOIPgdrMBUapjcVM/X8FTFIsWQ2XTrmu1bTzHMS8oK8JWlhlyDNAwc1KTQqS5G2Ykb0lyPDzv4Mm13MgV5EU8ZFD/Pbi2+4eCa74LZVkswMqGjTmQ96u5MKE+QhJnmvAeD5f96p79Lj2OZmFLRcnSlB1NwdMkOmGhHiOEJAwlYWR03GEkidzYJJbFWXKZyS/PUreSROEnil94ZQtLHOev/yXiudkKrbhI4Nh4scROje1xbChpwYKyKxjyNcPFiGozZqGuOFFUHPYUUEAKh+XLR5+Mgsa7UOVTPpenBPjU6ldz8Ll/jH/6tRN653P7OHR0iE4XfDditBowOdKm4LWw7DbPz8U8ddC44C0Vs2VlwtSwRZSAo0KE7PDZ2xX/fMso9z43hHZLeLZNxYaKrfFtjW/pQWCnbz1XpoYJRcFTpkvjGoltojHa4di4VZL0HywPPQNw0+HIO+V7GRvyhYX6nGr0fhIf/xFV8r5jVQ98rHNtxOywRmK6LkmSaT8EgtQ9IzSJ1P2gICnT50wu4uKZy0ngZlEdQBxr2t0Yuy0RQhmNeEK6EAviWKQcOot37q89NGtYzMfvfFmLjatm+NgtXT77jYRWWKCZOOhYs3S0yWkrW+mMQrD/mMfeGZcjdYuSI1kyFDFcjvAdSTtIOFaPuaC0QqtaM/5fv/vGFw5wgNGlVxME7c+eeHT/hrl6UFwyGrNqSR3fqzHb7PDIPsFTe2we3VVi+x4PtKRU6PDn//kI6y7t0uxIipU2N9wt+ZOPDHNodhhZKuDbFkO2pmwb2a1nD1rcDC3JVIgSz1F4rqLgCQquGSJZlu6lJxlemtsy0eMYplWY7bd00jiIU1buRebi/GBkwIpGv4PyowT1qWA+wMV72hTjm8w4uIZ07bpEiCSt3vS1KbGRzA6EdqYiLDAAzXQn+QmCWQwM3TCh3Y3S5171+vHma5FuZBZp1c7WrSxanqUlF53WZPX0PCfmBV++E3RJQ0dwwdo6//PnO5Q8G03M03ubPLbH4sk9DrsOeuw+4VOq2aweT5gc0azbsJRffOcrsR2b//W7p37mviPA/eIa/YWbrv/rljrjXQeOPVw8e0OD2eY8N90ueHL3EMfnXGp1h5IjWTOicS3JcNXFkTH11jyu3WbPYc0/3FjhcG0IWS5QshVVR1OyE3zLgNuzdTraN8B2Uqub0zNKKHxP4LukURPpzktpVIRmJUaqLkTT6Cp0piCUhp7YA7QktciJXN97sdE4r0lZ7LfMPUc/NnwP6DcEuidWSg+aSdogk/T5TZLdwZKUi0tiNDJRaRXvGyJ0YpJni15s1JpoElIJLKnwKdYEoYktNuYSc3cYNEMnaeSzGAB875H7u2PlJr/06jpP7PDYM+dh+zadzghP7bAZqUhcJ2LZaMCmZV1ecXaXYwt1ntjb4OZvVzg8X+LM9XD1pWsWRoaKf2PZnv5Oz5z13Z7W5cvOJugs0J17kEd3N7jj8QJP7yxSdhWTnmD9iMZ3Nb6rKBcU0+MS366y0AiYHGnyoeuL3P7oMLhFyo5i2NEUU1riZdW7pxJLK7ctjROoV70FvkMq0jKirSymuZeTkhofwkjzqa8VCHRfXGVlgx2R5t3lhjn9HZycRFVOUg6KrJbm6+qPB+wDLvUeyHPtQYwmxQC7/zfNf2XuzmPW0chsO0SSkKSHQk8IfuaaNl99ICbWMbE25ynz0IRpcKYVJmYQI+P0OTF1vpeVmPW2k9xdI8n+LAV5WjQuO6vOr7ypxrs/MkTFV3RbivufslkypqiUTOCr78VUCjEjhYBXn9di+WiXOx6JmO1MsXLFxgUZHf50qbL+Oz533xXgW1Yv6e7bP/+rIdPXfeP+TtESDheuNxESVjptsi1j+hwqweRoRMk3Qqhvb5Pccl+Fblym6itGHE3ZSfDTqm0Uh6ms1soALns2N3cA3Gb87zq6Z5Ywh8vB/MG5uuDJPS6xMPvllZS4GT2RqYJQDh4yVZ6H56eLggG3Tk8g+B2QrDU/smvgW2ZtFJF2UtIPZKJJkJhl8aQdGHPijjKQC42I09yZgYWyFmiL01dHDJVDjtRikkQTJIIwhjA2kmk7TCe/MknbrdlPJlOjhjm8ogU6SXJAz6q5oTPZWWmkEvHqCzvccF+TJ3cUaXQSDh4LCUJNpWTOXY5t8k9sy6PolSgWQq7a2iLxp5uNrvWrU/7K7nd77r4rwButY8n0shUPvuLqq2olsa84X7OxbRNrG0SSTteMnYteQrUcMzbUYXy4Qayb3Hi/w66ZIcq+zairqTgJBSfXJclMETlzhGMbwZbrqpSHDzqBPDtOTcpR2o6M+qGfXshnbnA5etQB6YCwsAV46TTUVv0wx8xULEVayfP98Cx/UPSpyUCTRA++nxXOvprohwDok15Iixw+5CQcZAprE76T0RLdq67aTAiFNPqdbCmsSIikQkkT0hlGFlMTIe+8usFffbZIbMd0EptuCm5HQaC0KWyB7omzsp+i36PP0nBlH+C5R5zyfq3Nv8H0SMxrLpznib1lnq/5uCohSUJanZiCKxFS0A3MRjWTEy5phT7/9devrK1eueLBuYVjyXd7Lr8rwCcnJwB3Rgbb33LWWVvu2LvrQXt8OOLQrEW7XcRzfBxLUy5GDJW7TI408L0FPnSD5NpbJ3FUgYmCpuomFFKTcq9yp+4gx0r3/dgCO/VwmtYgA1U7ezh2nPo5414Vt+2QJI7Zc7hIN3bAtpFK4UqTUur04nj7edOLXfIyx7kzkPWAvQi3WTaI+fwPD9jZt0vN7Kecni7+Tj0tOdmAB6MDF/2dl0rLdIxtOioRIIRCCk0kE5RM995bAaunAiyrSxiFBMqiEwu8WODEZvNC746XpQCT9Bz7IpU2GdpEbomtiYeI0s1oGdiNwCvhP72yxnz7CB++cSn75xxinRBEMSUvwbYEgY5phiFHZgQVL+ayS84PDx6P3rL1zOpMQuG7Pp/fFeBCeCSd56iMrznkzXV37597bOMje+b58t1jbFnmcMWZMDEcMlptMznawLIW+KdbNX/1hUmgwlQZhtyEomvA7dkC2xY9931mgTNrCDN60q/cPWViyr+dDOC22UxsW2a/vO93+NaTFjfdXaIrPISycaXRs2SiKie3OSALV+8JqUTfJjUAoBTDmbpNMwi4Xl+arKpmJf37R/XA60gMfIf+n/eAlPsZsh8q1ycXpJvPUv11IvMLXtOXRQpwGaVxeJGNbTu8+rIO132zyV1PekSWTSu28SKThWJJgSU1XZl1oUzx7KfuCiMDSEGeAdts9jDm48g2Q6Eo4+YJjFbhv76xhtaH+MeblhDOeASRCQqaGpW8dCtsWlvj+rsCtJjg4gu27B6d3HDo3scPcMnWFf96gJsfXvHYQw/sGx8p/9LwyHl3ffn2hzh3VYn1yxWjQyFjQy0mRxfQosYnvql4//VTKFliqgRDvgF3we13SMxtJnXjp/5N20qzoXs98IzKaFwnxnGS9NGXADiWWS3uewEHjyX83ReqHFoogO1gKSPY8pTGTZP/7dzbAe13RkXEIAvJ28by88R8empGURb7KvP//wvE9+AgiUXyXEDIzBVzMoVJkpzUlqzzk8lkNUoPArx/d0iDlyKLUMYEgcNEOeJX39Jg91Gfgydc2krRigSOTDd/iCxDUqRbjVOf7MAl+8boxHRhwggsS/UWS4Wh6o3240QxWlX89hsWCIPDfOab4+ybLxJrgWNrntzl0Q2nuWD9DKK0lUaNX5qfuXvfyg1nf8/n9nsD3FlLq9XE9wuHN805d7/24j2Xlbw2K6fbTAzXGak0eGRnl8/dUeTWR8bwlMeSckLVSyh5UHDNwCajJGZTlkg7GdJ4OG2Z5iCmwO5V7yQFeoxrRykHTwHuhHhOF2l1+MRtHrfcWyHEQyobX4KvEqNGVIY/5sFtVmSI3q12MQ1IsnNaDuTk3s8GK5nFcGDymIN65sz5rs/vSRQkcwecrJXpO4wWc/Jsp2Z+RaNIA0QFidIkKic20NmOeFPBhUyQkU2gzPnmpy5u8/RzC7zn0x5RaNEQDo6SWGGSi9XQ6RIrw+8Xg9xMSrMWo5EOK6XpSIEdCDqOJAiFAXtk1tuMVi1+/XUNTlt1mE9+c4hHtw9T7wpmmwmHZxRrli/jjW848+7zzrvocKfTwveLPzjAAQqFIs889cDOoWrlrzdv2njZ0UO3sf0gHJlrMjbc4k8/McHOvUOMDUlGKzElT1NKI7V813jpnBTc2clbYFJr8yblLDPFALxPSdz00U8gNSmk5WKbrz4g+fTXytS1D46LpyQlK8FT/Si5fgU3G+KUEv0FU3KwW5Kk8WU6GRyRD+hR8vJUASIr6Xnf2b/iyvfaB6S7vUqZd+TkXozpYS5OxIAXUqTpWyrRWEmCTlQvd8WkEqgBZ4+UCV3pUPAi3nFNi0d2z3PLt226StEILSwhejst+7ryrJJjeH56ezA/guytLjHFQPSM6Y4NHVfQCcwuzCCUdAOLStHl9RfW2bB0nj/8aMx41aXiOszOaNasPQfXLf31/Q88sPPCCy54Qc/pCwI4wPjkSirl6oML9fqX7n3iwBue2HaYC0+3uOVhl5mZIbYsExScxKTKuoKiLyn6FgVP4TkSxzYakjiBKOxXQJOIlYE7R01s4+M0mvLYuO6z1FGnS9HrMFOL+OdbKzyzuwLFArayjK5FpWItlT7SvEQ7CypKt3eptIqnFNZUnNiAN8v5SJJ8Cq4YGPZIkXGUvMLv5GPgd6ripxoa5enD4gquciaF7GyASGPVsmyRuO/C7y/Q7Tt8Ft9psu+XcWopHaRMOG11g597RZ2HnvU53rBoSIkVybS9mg2PdD8Kgv4ZwWTVZCxOms5lYrIJk8S8KBzL2Bw7gegBvBMo6k2HEwtFpkYX+LmrGzy9s8DZaxXl0WWsWrvuS6tWrXuw2Vx4wUXjBQN8bHySex4+uG9y6sLf0jyjLtgy/9rJkTmOPVjh3DUWI2VBo2myLoq+pFSwKBUUJV9S8A3dkAJaXcl83bR+pDCVNKuujtUHt5sp1ezMLGEerhNQ8LoEusO1X/G59f4h8H2UZVOyoJDybjelJiZDw4A7O9haKdBVjqZk1TAU5m0Q6d5msAwIUmZuA3GS+WCQxvRB/V25+ACqBw+ZmSsnv/Uivww3o0dRDFEqUjJAoZcfaNqgZplTnGhiq0+bencLoZHZgTP39RvNmGvOb/OLr5vj//2sTaOrqAs3zRhMpQD0aZToaeqT3kYHKTUqMatQwkhTa0S0O2ZzdaYO7QTK0JQYoshU/noTnp9xmB62+caJhJ1+mddsmbrhnHPO+y04vL9SWfWCAa5e8N8E/unD7+dnf/oVC6dvXnrGA08fvOzO++usnapw8ZmCzasbbN8vUNJiuGIzVLYYrgpGKwljQyHjw12WT7ZwnTY7D1hEsTlw2rbAcQywvVSC6eVd+G5sDMqOMSn7bodSocVju+B9/zLC/uNVhO9TtAQVW1NIp6RuL/E2y0NMv1fWxcnet7MULomtTOJVEGnaXU0nNIejwdt+Sq9ETk6bt6rJ72A4PpVlTeYqc84el29fZmcG1VvdmNtsZxkwJomkla5ebweSIMq143IufBaJ0Xqvr97BVvcqM0C1mDAxFHD/NsGho4pYWsRCoYyEq6e67D8H2d3GFA8r9Vj6rsBxEh7bE7D/mCaIEqJQE6UVXWsT1l9wNVJ1uenbIYeO2tjK57yNTTauH2Vs+qXXHz1y4PqpqTO/H8i+8AqeXeOTk6xaOv3eu+/fvWbCD/9DtXiMSqXB03s1s/Vh1kxJhsqK0SoMVyKGywEjlQ6VUoPdR9vc+miF5w/4LJsAz0mNCCrLUdH93BQn7lndXCfEdY1pouC1eWxnwrv/fpSn9lWh6OMpI+30MrOEYiDKOeu3ZwddOw0ustIOjlJGPWc2gWlaAcw1NWkkR28wZKsMEFm+SH+DXkZFeq3C7+vKZWyz2Ozcr6xWFlKaS9sFcO2YY3M2swummkvSc4YC2zbRxbYl0Da9Nh4ii2ZbxPWlRkgbKTS1hmbj8oT3/pcFfvtvFI/vVnRFiRoqreQiR6eyPEJ6P2timT/3XFgxGeEW5rn5IcGu5yuMeDBWSuiG2oT7YOO7kjVLNZtWL/DkHocHtztsWbOa1521+bMr12x+b2Ph+e8Xrt9fBQf44Pv/mjPPvrK7bGrNzfuef/SKB7fVV3ztgQKzMwWmRyyWjDlMjMDEcMTEcJepsQZjw3PccH+HP/jIKMePlxktQsk3o1hzCM00LSZiwpiVI/y0ahurWxffb/Hs/ojf/OAw9z49ROKWcC2bqp0KuOxcAL9NzzSRTUuzqu30eu4K11H4jqToCSpFmBzRDFdafOOpLjMth95aMfIj/H57MavWpn2WMyHLF17BBz7uLQPIKnYaa2Fp46TJDt5ORMELGSo3cdwFbvxWgWMzpnccx6Z7kQ/iHDwE988SA1VcZBJbesCXwOqlAWeta/PQs4pjs4pIWsQoFHnP6mDXR/WaB4qCB9VizDkburz1yuMcqXW5b3uBKDL5LDo7zQuFkBabV1hcekaXsdGAYtm657RNr37roQPbGus3nf+jBzjA5z7zCd749neE4xPrLqD9/Fm2iNRw0WHZpM2yCZge7zI11mbpeI2RygmuuyfmPZ+ZxJdFllWNn7NcUBR9RcHTFD1Nwc3MyjG+F+K7YS87xXO6FPwW7aTLb76/yp2PDpN4JWOasKFs61TjQo6e9EVcvalpRkkco3VxHYnvmCSAoq+plhKmRgPO2bTA2PAMdzzt0Oi6qT55UK/SpyEsoiWLAC6/u6v+JHCr/sEw2wfZW5meWsUMdQupFNsgFnj/F1y+/mAZK81q5KQDbzadzU+zchQFcdLBdmCSqwWrlnZZPdnl1rsdWqEBeYLqh3Lk6IqS/d08lm20RY5tzkBlX3LlmQucaHR4YLtHs2ubXnlstOpRpEgSh+PzCe1gOW95/Rt22nZw7bpNl/9roPr9U5TeK0NZFOXeXzvv7I2XPHfgsdPXLRGsno5ZNtFkbKhBqdCk3m7zxTsU7//cNAXhs3w4YagkKHoqjeFKQ4Kyyu1FPXD7aeV2nS7FQgstO3z+Gx7ffq5K7BaxLIeSBWUrNUykjx4tsUUuLLQPbteW2LZKZblGDuC7mqKfUC5GlAsBvpvw9qs7XH/3PPc/W6BhW9gyMZU0Jl0AlTcAk2tNnGokeurrVF3FwYNbHzRZFHFv2a5j2qSP7oj44jeGULai3jZmEHTcOzf0Jov5Za+97yFP7Telf8DNDrmWTHjJhjZvvmqeT35V0O5A0/NJsEhSUVf2Isk25dlWghPEtLuCRktxouZiWRWWjsHvvnkORxzm6w+PsGe+wHwbFtqadjch1hab1yTdhXjyHu1sfkAsXp384wD46665iOePtnXQbd/w0iPNdQcPP+ONDUVI+wTfeALiqMNN3/Z5aPcEY67LsqGEkTIMlRTloqKYZqhklbvghxS8kILXxfdSk7LboVRqE9HhYzcV+ONrxzjRKiNdj4IlFoGbXmswH8SfcW47FXLZ6cQ0A7fnanxP43sxhTS/RcoYRwouOa3Ffc92aUVmMurGEMtsCdR36ZCcat5Prh0JJw2RTvml8hkmuT2hZklAhBQB922zaCaKgha0Q7PuUSkQMu4nXfUumWpdckH9qbWhN0ASKn1R5TdIJAihKRc0f/aLLZSEf74J2g1Ny/dJtGXUgmmPPTOTWL2f1RzkLctCSheoMDki+f13nOCnLj7AV+6r0A2KPLXDY7ZhMxm0mGttmrXt+A1TE5XGvxrdPwjAAaYn/eSB+274k5HxsfDAzOS7T9R3OV97qMB8o0QzUDz4XIFhz2XFcMJoRTBUUlRKFuWiolyAsp+kpuWQkh9SKnQoeF3KxTYlv41SHZ7cp7nxviJ/84VRZhtlhOfhW5KylfQ6JkZXrhdxbgYqeF4S0JMDZCB3+gZaxzIrUgqu5lUXdfh/vhgRJhDo1J2i9UD17hvJRO5WLfqWsbyOJLsycGfOnBzI8zeDwVt/BvR0C52KSXTETfeVqHUEtg1BJOiGhs5YMgNp0ufXmNYsvY/BpDUmaV9E91+PWTx17hDZEpqhYsL/9R9bjFYSbrw34PG9ZdrdIpHrEPrGVAFJL5hIyjjVj5tdO2i7J7aylebcdQHH5jSNepENUwHf3iY5bfNUMDo69ZGYSvCD4PMHBjjA4WNJUKksfc/yqVrw2LMn/tTSiXz1BS2+vVMxPewy7msmh0xnpVyyKBcklQJUihklCKkUu5SLHaqlJpVik/lGl237Nd96yuP62ws8ta9AOy6A5+NairJljBNePl7CPgW47T6wbUul7zM4NU2D+LOHZZkgfSHM0AdtdqH3poQZGAdK7qBwJB/t9p3yVBbbzxI9+LkB2rIov0X2himmVQiaIIEghm4kcELT8ekbQvqCMiHVwGGZ1O0jRGImQ7kXVnaA7I3mhaYhEobL8O6fafO6y7t84Y4m33qywPbDZU7UynQjhyiRKW3Jfu44HUxZxIlME7HM1odmN2LP8wkPbbN5yXqHy7faSbW6/E+XTU29v9aYf/EB/vrXv56bb72lvXTphi8VfO9/btt2J1+6N+G5gyWWlBTTI4LxYZtK0aJYMPHLJT+hUoyoFAMqpS6VUouRagOtG1x3l+DGb1V5epfP4XmbhUY6X3dcLKkoKU1RZQ580zE5JbitPLhln4tb6Y4gOx3lZytVciYKS8UIEfeGPMY9I04NPjipg9AHdpZ/NZiDpXPVOnPA5PO+s47H4Iso06cMalUsaTh30DMoaMLI9PItBSrKxFFJT5bQ595ZKL3ogZvFv1tOOWi2aDh0hMZ1BOdtCFk/3eHIQpfHd9W5+d4i1983yuFGmVgrIE7bn4ajx4kZRrU7ik7XIooLhDFctbXG9Mg8z+61Oevsq/Tqlau+1G6329e88i0/KDx/cIADnH/WckanpnY88bj9rm4Y/v3ew4/JIUczNWyxZNxmYkQwXIp7E8OCF1MphlRLXYbKTcaGFnhsV5c/+2SVbfurnGgUzDYCqaGQNqOFhacEvkr6/e7eXk6Ba5nbdB/Ug9sorLR62+lk07E0dmp/y3YEWb3lVzHNjubjN/skoUDaJ5fgAeqR0ZJcC7HfUTlZ/We00qaHLugfWntVPOnB+STakr9sS/CfXt3m4eci6rGmG0uCWBDEYEeaMFNNKo2MksFOTwrynBDYtEQHfsm+rLbH/1WCimNEmBCExgk0WZFcszXhwo1t3vmyA/zZJ0d59LkxtLZB99fNxImm0RIIEbHQULQ6FlFUZGrEqLKuvPiCZOmKDe+qJ2fuUPbBHwY0fzgAH1tyOg899mxw7lkXX/vUszsL1aGhvyKeY/MqRaUIK5e0GKrUma+5zMxXKHgx5WLAUKXFxPA8j+3u8l//YZyn9o0y5NusHDIn8eMtwXwrHX0rgSv7Q5w+jxY9d5ChH7In4LKUSoEteuN6qwfybBFWzjzR28sZ041j9h4xWSs9vppvnzFIQbKgzAxAZuFtPowzBXeK1CRFutCQxKRrsEUvq69PWQYnkP0UAfP1V01GODIijjSdmNRi1n9YaUVXElScUpYoldNmOvh07q8zPXfuEJCpB5WysKIYxzKRESqNgJurFVloFFBSU/K7XLCxwf/+5Vn+f38f88iOCcBBSROg7zuCQw3NfCNmohDTDRLmGxbtjmTJ9Ai+Z/23c88+/9r5mV3x8Pj6F4C8HxPAAc7buon9Bw/HV1/9+l2rlz9RP7rvK+UoOIaSFYrFWT5+m4Orfbauh6IfMlJpUq3M8dCukP/2oWl2Hhpi1ZBktBBT9cF3Jae5EV1O8MhzimMtG0soA+50DO8ucuMbUGdvZc/ilI277ayfnL610t5ylrFnqf6ee0GCUjLXVTiZjmRg76Vl9Xrg8qQ9mT2ApjREiJwoCjNYVEmmDkwjkXOZJ333ekZtTBRDHMUQR2gdESQqjUEjNRikFrMIIgUqyrQmCVIKIpHrjecC9TPfpE7TYKUwk0nHUsSJQKmY+VbI/c8WCdsVXFU2d+VSQKPtsnqyxl/+Sp0/+LDm8d0TSOHg2gljVcmrzpNI5wSf/6bNkXmfeKHFXGuIX77wZfULL9i6q75wOB4eX/fDguW/btDzna4//KP/wUS589zSpSsPtgJ9xRPbTviWtcD199ocPVxly0qb9Su6rJyqEcTzfOxWwXs+O8WRmWGWlWGynDBeFkwMK1YucbjmfM2vvvYEsW7x6I4ynrKopA4h3zUvAs/pb1R20i6JAXe/ktu93nj/gNm3wWUhoRGua8RcntvlyELMp2+rcHShjOVaFC3welmJffGWpTAvpJTrGwmA7EkBjKirf9A0OSJ5fUt/qtibimaDnp4GhZwOJbvjmJ+51oy4+dsuMw0PYTlmy0bqWhrYgtcbLIncgbMvXyZ90QzszqH/d2Xa1/bcCGV1+PDNLn/80RXU50vYyibRlnHoa4VOLCaGBVee3aBYavHEfp/5uo2roOxbnLnGYvXyFnuPSi7YPMKrXnHFiS2nXfSbew42r5saL/Bnf/6eHxomf2gVHGB8tArA4aONT6xYe411aeK89x8/99XxmWMhV21VrFvZxLJrzNTn+eevKT7x1Ql8p8CyIc1IwQyBRsqK0SGH6XGzxsK1LTavbFNwNLZIs1Qc0i3KZquy6/QBneVpSynSnOk8UDJvZjr6Vv3qnW1NtlSMZYXcdp/Ntl0uuNJsNRbJwAFSkqvYoq9K7Jk4rBTgmRw3Dc+JEgijxBACYdb9Zf3pTGxlOjZG76IT0aMqPQAmxr0eBJIta2NedlGLXV8MieKETqIoxIIwVUJGsU5ltOYuFseaWJmRvpRZnoz5HlHqvAkjQWiZBa0AQiiUMu6qJJF0A8H2vS66a9MNIp6fESBsEm330q3CWDI5Ivndt84zWj3Ex24doyNctu2PCSKPK84u8tOvkJTHrzj+8quu/H3i8BOT49M/TDj+8AGeXUsmS2zfP/fRkWUXyjM3zvzfp089MG65Ne7f3uXxPYrjtTLPHShSLRaYriRUfU3ZF1SLikrJZriiGC5HVEoh7SDm6b02USLxPdP39h2B72aGCgvXMYdKk39tRtQDTph0fGxJBoGd6jusbG24NE59LWLqHRudmHXfp1pYlV+rnY2me+PpnIkjs8dlVbHdTegGZtIoBdjpPhkhzPawWJn2pFEDpu3J1Luoc2E9SSKJtXlVlb0YQYROYrqJIkxdNGEMdtzXp2QgTxKd8nydtkDT6h0Z/iOluTtFcZovjunWuLZFJ7BxXYtNq0LufDxmoalYqEf4rmnFmn53CvJIMjGseOcVs5y79nmOzg3z1G6PI8fafOOhCj/3lrOPX3j5eX8AtY8Ka/JHAUX+9TPQ73FtXDHMzJ57rz1v89DvrVg1fOKW+zXP7RlmzXgVzy6gtMuaMc2SIRgpS0oFmerITcBnpRgxXO7QDrrc9XgJHVuUPePvLHiCoq8o+WZoVClJqiVBqWAOnSojXr2uhu4JmAYreY57Zw59K2J2TnPbgz6xZRlXjNC99CvR60UPCqtUul9G9faEGuN0wUuoFGNGqzGVYkS9GXGiFtFoRbS7CZ0wJghjwihJuTNp5l8uPOc7PRKFDhUve0nA6EiAjiOCWNOJRe9rRUn/bSbCyihSvhUZx5puENNohdQahvrUmpp6S9BoSxodRauraLYdlHC4/MwAx+sw2xTUWwn1ZkS9BY2Wot6ymF1wOTJTZP+RYXRSot0pcODgKJuni1x9XkB5dOzEgZmx37v+Sw9fK8SPBtzwI6rg2XXRZa/iKzd95OOxPR288mLvQ6PenrIWCftnElaOSlZNmAFQrWFagUZ5JigXYsrFkJFyk7u2aQ7PFRnyBCU3oeBJA+5CfyJa9MwkEgELdcWxucwx1NddZNU2oyj9w2Waq6JiLGkW0La68PgOD60UUsjcPvvBaLfMWyql2fKsehJcw/N9J13n4ieMV7vM1Dt8/TGH2rzFaEVTcA3PlYh0QimIlOgFWfbD4ftg1wM5I5IotjhrfYuCG0ASEicunTSW2Ek0YWzMwnasiVX2tforC2V610mEZr6mqbfMv4VrCwpeQhybTpKUCtey8Z2YetNnstpm69o633qsSL0DlXZCpxPTLVgkCbQ68Pxxh5GKRcEdZb5Z575nEjpdj9dccUb9nDMmfiNRs5952xt+7kcJwR8twAHWTxUTx/E/25q2okNHWv/8ldt3eXMnhjhjhcXaZTbTk10+fXuXsuUwPgy+C0U/NtU7bHLD/UVqDZ81IwllX1AqyB64h8uaajGmWoqolgIqpRZfe7DE8Tmboq+QaQpqJmvtV/D8YS2XkKUipAp5ep9NJCwQFkqI3KrvQZAPmhREX4OdrVJMK3i1GDI52iRW8xxvDjM7X8KxzABECpn2mAWR0jlw9yMXepX8pIpuookVgtNXddlzOCRJIjqJohML3NjENcSL7wypzkAI8/P6LpR9TTvocO92zZAnGSpCOdQpD7eQUmFbCtexmav7LJvweM0FLR56ts1Mo8BQIaETmF53pRhR8Ge449Ehlo56xMkQq6YlF2yZ52jz7O5cd/kv6vnyFzrdbvKD4utFB/jmc9/Bt+74eLxiydgX9h8N49M32p9sdw97nq04e2OXSuUYQVIiig1v9V1NpRgyPtzg4V0JDz1bYciVDBcSyr6R2ZaLiqGSZrgcM1IJGK12mByd56uPhNxwn8+Skqmsji37rS5JzjSQcu8U5CYhK8RSEYkV87nbS7Q7NqSGjB49yS2GynclVO5huio67dUblWTBDykWunitDmEcUe9Kml3TkbEsjRWZ1mVs6Rw9yRmKU3APHDR1P3+75CvedmWbW+4JCZKQMLZpSxNIb8caO30bx/2vm/mkLWWe84nRiNPX1zjeCfjaA2MsCyTjUUKShsIomQrYbAvPdRkqlzhvQ5ez1tR59BmfiTKMdJK0NZmgrJDth1scn7OYHNE8vQuK5bO6//mNb6mPjk3fG3Tb8fIloz9q+P3oOHj+uuTKn+PZPY34jkd++fpLzyv/3KsuH29tWdWmFszywa9IFmoOJU/ge4JyMWZiuMXuw20+cP0QC7UiU9WESlEYvl20GCrBSCVmtBowMdJi+eQJbn2oxfs+PUytbhldcZxb890Dd5+e2FYaIGQZM7NlmSiK/YcEOw64xMi+Q6Wn/8jts8/xcJHx8NStb6p4JgEwvlLHiowmQydGMxKaSLQwNKvQoyQhThJzIMxV2rxbvh8N0Qd8NvRZtzxkxbIuhKaKt2NoRYJuJAgiM/SJ0uclO2BmeYu2ZZ6foaLFH7y9zssvOsbOE3C0JpiraRbqMQuNiIWmZqGhmG84HD9RYLhY4DfeVGPF8jpHaoJGO6HV0dRbFiNlh1978wxuaZ4n9kTMh8tatWjsZzevX3vGxLB/eHpq5McBvR8PwAFe/sp38mtv/4B22+3rLjt35BdXLK8ubN/rUG8VqLiCSlFSLcHEUJdyqcadTwse21FlSRlGilApSiols/BquJIwXAkYrbZZMrpAyAKfvadMvV1kyNfpFDHnLsmMA73dMnE/QMgJsa0QWwVYXsg9Tzns2eOg03I9IOjPVXGRMzeo3kHTtCSt3Pez0y6NUrFJgtKJSWtNyB0qs06Hzi1jyuhJ1jvPaAo9cGeJrrGWrF0dc+kZbQhCiLsEcUwjgnYkTL5gLEybMm0dxppeFyVJTGuw1vQouCXedmkDy55n7zwcbwjmGgkLjYhaI2ahYc45c3WXmbkKW9c4XHJGjROdiOM1Ta0ZU2sqGi0f3/bZvEIxPjWxUIuX/OKd93Wu+9MP/OMRIUSsTqVA+7cMcIBVm36HypTHDfdu/TTOxb/5sssunz1nVZWSm1DyFVMjEeMjC9z0YMQ/f22MiaLDRFlTLUmqJZuhsmSkkjBaCRgb6rB0Yp5Az/Pnn6mwbc8IS0pQ8nS6KKk/wcwcMRm4+8FBAQW3S9FvUyx2iLoRDz7h0IxS/kG+a9LfvjbAwQe6KX27mUp9lOb9JFUomrZFnECYkOPaferQO1jq/uEyznHv3kQT0dOn6MTsEj3/jA6O24V2B91t0w4SapGgFQo6IWkl10QRxGk0WhSn4faBpN62mZ0vc9pyn//+jllsZ4HdJ+B4XTBXT5ivR8zXY+brgrmazcy8z+z8MD//spBXXTjLkVrMsbmYekszX1PMN6dZveby2VdcfM5v/sprV316y2afP/6dX/5xQu5Hz8EXX0s2/A4AO/cvfNxSlnV+a/l7nt7/jfGC12FqrME927r83ZdGUWGBFakDqFI0i6+Gy5qRasj4SJuVU3O0owXed12ZL9wxyYQnGS0lFL1+gL4RWmXakwTbNvFvnhPiu12KfgvHblFrB2zfLmi0XR7bZtONtJmb5yROZhwz2JHJqrjoLYLtu296CVDZQ/RlUz1enelOEnq0oTeeTwYnnpnBoifZpe+8EcJMZbeeFvLS81o0212e2xcw346od0ooFLYUvRiN0NbpAMiM800miaTZspizPWyrwpsvjYmTWd53nWDn8QpoUDLGypaDORLXcVBWkekx+I3X1UAv8OzOIWoNGKo6rD/j5cdP33rxuyH6uBA/er79EwHw7Fq3ospsrfVPL73yEtEO+b+TE7eN3/vsMW65b5jpokdhKMa1oeTL9FAJo9WIqZE2E8PzbD9U51/uKnPd7ZOMuxZLqjHVgqDoSRMVZ8ueajCTw3p2jO9E+G6XaqlJmLT42C0W928b4a4nbC44rcXPvb3BxD2aW+51iZKYRFuQLdvLTzIXeTN75oZMXShzLvnsIczHSU5fQhbG03tkA5iMa+cGMfnlrTpz3Jvuz5fvdPjqt3x+4dVNLtgcctfjLvduq/O5r4+y0BrCVhaOMs+pFxpgh5E5FHZDaHUEtqWwLBshCkgBb7t8DsEMn74z4uCRYdN1sQy9810H31Mo5dLq2BTcEv/hsjqfFzUWustYsf7y42s2XPoHOtb/JK0XB9wvKsABRisFwm772re+6vxox47kr+766D3DF22cx1EJh2ckjbbGtiVFTzJciZkcbTMxeoKvP9Lh724Y5cjcEFO+MuAuijRkyKw9ycL1nZSauKkT3fOMlzERLf7hpgIf+Mwks/UCRAE/fU2Hn74m5Ioza7Q7Nt98xEc7Tra2ZiDzI7+qu58XKAZ0rSfTzJNFr6eSwWYVPB7Ye5M7ZNJ32ThuxB2PKv7wb0c4eMRnevkJ3nqZ4i2Xu7z83IBhd4a//TLMtUfwpMSzEzxbG7oSasIwoRtK2oFAtSUCq9dnj2LB6y+qccmZs/zNl0Nue2AcRwk8J6ZcSAhCkys4V1McmrFwbIs3XOZB6eq54amLfrfRtv+5UnZeTIi9uAAHsF2fdrf7iYnp809cdNbxtZtXNt93022P2sIWHDsq8D0oFTQTw12WTZzga492+d+fHaPeKDE9BOPlmGpRUi6YpCQ3jYPoSWR7WSvGiV70OkjZ4IPXF/n7L02jRZGN0xopJCvGh2nP2qwea/BLr6nz6K4q9cA3QyNylTvvnE/lsNlQKUub7Qdh5oXgovdiSf/2SYbf9NP9VSAxvV54Fh6fyWctK2a+HvPhG8vsODqGV3bYfdDhyR0xGouxoSa/9qYFpDXDB77oMB+UKdoC39YEoTbmiDghjBK6gdklH0WKIBJEkVkJOFpVTI9ZvPttddDwjQfGKXiakUqMZydMDLeZrcWEoaI6fWFYHrJ+7+LLztulLOsmKV9ccMNPAMABfNdNgsYjN/zCf7zUOX5od+vqkL+796HHhe+1ZBxKqiXJ8qk5vvZYwF9fP45KCmye1pRdQ2GqJYtKyaLgSeLE/OP3nd2GnrhOhO8FlApNrr3Z4u+/MEUiiqwcjpmqwLJJG09NcGjGI0Fx3pYTrJnu8NhOs1g135FRMkubIg0UNb9HxpVjnVup16u6omdi6L1Y8uaI3qPv9DEDGpF2PnK98PR5c6yEHXsFDz1dxiv5rBoSRM0h7nncYuWSkCC0mBoV/PobT9DsHuPDX/GoOzaFUFCIDE0xnRvzvVqxptHStDomKzCKJd1QUms6TIx4/NYbaqBnuf/xEZYMWzS7EY/ubNMJC8m6Lefp8ekNv+6v3PixOx87Grzs/I0vNqyAnxCAAzilc9DRA8H40rFPbKJxx/GF4K3z7Zk/T1qzbF51grufDfiHL41Tlg4rVwpKniROEjxHMVI1rqGx4ZBON+DZPZ7Z7aJy4HYjSn6Xg8cDPnPnKM2oyJqRhLGSZqyqGB+y0AnUmy7VkofnWdgyNmmsWL3et5JZalSmNTfAJKUVUSyIo2xvZDZtzIXvZLFvqSm3L4tN03eleQFkqaxhDHZEL1gzjoXZioZZQxJrTRD7VBzBcCFBoDh2QlFwpekeqZilkwFvubzGjfcvcGRunIpjzMlhpNOlveB7mqcPhMSdmLGqIopthFB0Q8HRWYdjcx4rpjz+y6sXIJln284h1i4XbNm4lGY08T+coZXXSXvswPN7DwZveNkZLzacetdPDMABhHU+QPvzX7nuuZE1q96zNZxwJsoH/mjbgSfUrd8aYlnFpeJLtqyxmBit8fSemKAzwkhVsHwqYNX0cf7myx5xU1EqmDah2ztYBnhOi68/bLFz3xBjRUHVM+P/oq/wXImQCXFs1lDHkepFKUsysVY+sSkLtDHmBhPYiZkOWuBGfUD2Dojp79m7EwgDbuMVTQ/GKl0zklZWMFzfsdOvl+SGPKSabkuZcCJh4iw6XU2tJSk2bQquy1ytwKblLV5xXo2P3DJEPbAphboXm6aUYGo0plSd5x++7LI+sFBSMFSyOBE2eXq3ZqJaJAhLVIo2rzy3hWcHRPZpcXVo6i+2rE7ec/TQ4fiqK656sSF00vVj7YO/0Ostr3srHNfxz7zzbX98xvk/997Ef2P3qnOnOGtjxPiw4KyNbWrdNk/sKlAtCcaGEtYuXWD30Qbb9yqi2PBkz0moFEMqpS4Fr0OrG3DtrRW60qXiarN9wpP4nsK1Tb88C57MeiC9jG1BbxTvpAD3fUW5YBbURnFCox3R6iR0uoJuaOSiBpS5Kp7eCSyRuYwwgUSupOBJygVzduh0Y5rp1+sGEISDL5hsHV/+0kCcJGZhawdabUWzY9Nse0SRx8+/oonntZnvwlxLUmubSp4kxoV/1qqQNcsW2HkETtTM5PKMNQnFUovHd3U4Mqt5bA/sPrKC3/qPr+r+/m+/873X/NQ7/nj3jlJ81ct++sWGzSmvn6gKnr9e/srX8vyxGlOj4o9+5s1XyZ37Vlz0oY9/WZ6zMb7o4Owe654nfJaPOowNCZaOtxBynuvvLdBp26lWHEbKAeViA9dt4LkhYRyRSIeCJSk6iclFTA0TxvKmjfFBJth2jEzph5WjJyaC2SypLRdgrBqjrC4Hj2uOn5CMDyuUtPEcYQ5r6Q73RGczUZmbrprq7drmgFwpmlWMR+YCnt6rcaRgpKKxLRvPFWbHTZypDY0OJYpARwmxZWhRGEMYaToBtLuCdkfR7tp0uh46aUES0Yg083GE0xEUG5rxTkKrI/Edl9ddPMv/c6DNodkCI5WIg0eLXLily9H5OrPN5dEl5/j3rdn06mTp0k33zZ6w/kgncwg5/GLD5TteP7EAB5ieqGTv/sHTj32RP/jF88s7D9U+fP03Cm8bKSzIDdMBS8YSNE3+7is2t94/xJZxEw03Wk0oFBrceH+HctHitRcqPLeDkoqSrSk6ugdu4+nUqbrQpDEdmdPMtx2UJbFkkm6jMPY0xzFuonIhYclYh0JxjlsesdlzrGzsb7ak41lp1ZWDFTzl4Ea2a14sJitbUC3HrF7SpBnX2X28yJDjGEudKwk8izBaDG6Lsi8ZH+5weL5EkII7CE1qazsQtLqKdteiEzpEsY1SinFH87qL65SLCfc/UuFETdFsSzpdi1e9BJqdOb58p8WRWROcf/7p4/zKWwrJsfr6zx9tDf/y7OMH62ec/pIXGx4v6PqJBnj+Om3rG7nzgT11u+r+xk+9dONOXX/k9DiaeUPjxG4e2RmzY98IZ66MsWIo+IKJkS57j7e47o4ypy8vs3m6y5a1LTzbAjfdHeRkPFqkwT9mlF/wutx0v2L3gQLFQn+npujRFLNPqOglVIoBrt+iG/ksNKHRNjmH3VATpjQljvvLT7XoW9zyFdx3NaVCTLXUxXNaNAIPGUGroykFZiCTDXySBJJY0upYrFsmOP+MBp/5xmgqrEoIQvPoBop2V9Fs27TaDt3QwUZwxqTk8vUVNq2d4dDhFsdmbFod6IQJ2/Y4bFrqsnN1i937BOvG1rAQj33plWed9tT4kokPEnXrwv7J6JC8kOvfDMABrjh/NcCM1s/8X/CylU8+uZ/nD4y/4eG9j3LOmoSxsTr3P1lmuKwp+A0ee1Qy6hdZv8TGViFP7LYIA5vhgqZSNJzXzhkUHCfBc0La3YBvPeMBHiXLGIDzgitLCSOHdRI8x0htY+3QDqETaLphQhDqXj85TjKnetb9GKQoZvSt8d0Y1w1R0jhz2jG9bkcUpyIrMq4t6IY2OvG4eHOHr3yrSzP00sVORqEYhIJmW7Bg21SKHo7rcMbqLkETdhwoMDU2ytZ189x0OGCublNrwr1PCcpemc2rJeecdQ4bN2z5UlxY89vPHG3tm5he+WJD4Pu+/k0BPLuE2MyxY/P7li0b/91YFz/x0ivX/1ZR77j86/c9jtARS8YiDs91eXJHmc3LbZZNwvR4g0/c7pEEFlNTkqlRozmJYiOKcmwD1oIX0OiE3P3EBMMlRdk2pt0glbFCln9NLzRIKrO2Okj3uYdhQhgmRLFllp9mbhyy/1+nHtF0laItjMM/9YZKkRBpCBNBFBsJrU6/t5JmMmsp6HRdTiyUufT0WQp+i1rLM1spUqOCbWmSJOHQMYGlPNav9LlgS4fPfi3m0LGIZ/cW2Lq6zYPbuhye9Wi1Jcunxzgyt/LJdStm/njd5jOcZUu3PBxHwb5i5d8euOHfKMABJiaGAHbGsd55puCpo/uiJS256R/Wr9q5rqQeULc9Ipko+5yzSbN8IuDofMj2/Q5jBcWKSZv1K2O++URMSTmsXKIpejEF12xv+8oDDu2gwOqqZv3SkFgFbNvtU/bTnHbZj3FQVoyQMZAYV3rKg8M4X3llP8AnNzCSPYubTs8ASdrJMSqrKOer1Nr0zV07oVRs8dTeBJIq65bZTI+3ePm5DT53+zDNQNDqGsXgSCXGdRe461Ef8BgbLrFlRZup0Q4HjpsXXLVU4sLTTnDf4zHDkxfGV5y5Ztcnv3L4Z+7dvuyJV77uvBf7n/kHvv7NAjy7lNn/+NzufXPPbVgbv2LdUn+plmd+/r4dd1XOWHWoeHB2lpmay9Ipm/kFj8lhxdSoYO2yBe7fLiF0qZZilozXqRTbaODrD/jYQjE9LDh3o8umdQt89KsJhw5UmB5NV3XITF8egYoRwlTqIDJVPAoNQON4sG8NeZ26SOkOPSmvUqlsMI7MoTHOXPCGJlVKEdv2dfn4V102L3UoehYTwz7XvKTGdXfCiZYmQTNUNiW/GSbsPBJSKTgcnfEZHSkwNQarRyMsq8GTeyd508tXNl/1qqtqnS5vWbZi+aE/+s3T9gn14gmkfpjXv3mAZ9ealcNoHe+D0QMHj9RP+5k3qQunx9r/+PDjz0WHDuwdeXrPvvLqcZuNy7oIAbuPxMzOW5yzVjA+UufuJxsIXeaSMzxedeEsB44kDJUsRiqS4bLA9xLCJItFzmIUEqQM+Pazkkd3+oRAs2t6y0GUpNU7lyKbu0TGwy3D5z0nwfdChIjYui7k7M1N7nuyTDcy+SQ6tSfZKqHegRM1i7kyzNUUszWHr37bZ3lVctkZXbAa7Nhd5cARn7O3aNZOt4hil4e2SzavLnHehhZRvKK+YdP6EyNj662xCflL6zau/bamsqC1Tn6QwPmftOvfz2+CCagRQiRjpcbc5nVLvloqVTY8df8n1179ynf8RXnsqqfP2jz1WHVUdDzf5ticJAgLnLG2gbBmuP2xIg8/M8KJBZ+Lt8QUPfBcQdFPOD6fMDsnKDoaqfrr+QpeyIHjEe/91AgnZn2k1eF4W9PomMNhFJnwHvOz6Z7uqudoT02/rqMpFkKqpQaxbjE57PCH72yxfKpDsyvS3Z3mYNnqWkwOa8aHIxodTbsraHYk336qwEQZzlvnctVZmljUeXx3iNAO5ZLEL7j4paQT6MnH3vKqy57+2Z/+D3/xNx+7eW25XNngFJZ+ddeexpwUIlH/jsAN/44qeP7yy9Ng8i1bu/ftxXas9wlpvU+XtqjQecnfXbi1vmF25slLhY6V7z/Ps3sdRGyxZDTCsRPmG0W6icB1BMVCwBP7FPsOFThzRZoAFWdOnZA7HpHM1Yf4qXMUa1fVuPMpm7n5EhNB6kjvbQdO0v05hm7EqXFBSfDdhGqpzZ6jHe55osLG6Srnbl7girMa3HavR5wos7UBOHzc4fR1DhtWxTzzXEwQKpTUFAsuQZhw8JhgleOyeXXC/kMRe46MMjJRjTeu2nDPyy/gubmF1rssFca+53Hdh/9ET06tbb3Y/14/yuvfJcDz15qVq6Avu47C7pFfthxneGHu3P/lebc723dF8ciwf85V56tzHXmcbXu6uJ5PGCV4jqYThBw4Klm/xGHdCsm2/TGldpLGLwfsOeYy5NqctsLhjVe6OG6dT93q0+xIksQcDH03olzpYrcCRDei1oBW18SzKQklP8Z323z2bocb7pzkzZd4bFiesHJygSBOCCOLUkFTLTd4dq+N6wyxeuIEe/Z2abRslAxZWrVw7Q7HGxXGkw0sm+bhqZH6I25lvXrzK18aDI8M/2HQDeY2rBh7sf9JfqzXv3uAL75sdwpgDvgvAAd33Yil9OW7D1nXFJy5tzy5Q2/03SajlZ2MDws64RzP7lVsXRmzYVWTh/Y4xIlDwQuNu8V1qBQljmOGOqetbFMpd2h2jbvfdxNsu8XXHwnZc9TmpefUWLJEcvDIMO2uREoo+CHzrQ7b9ntYShCECbWmQ7tjE8bQCsxuTMdr8/jeCCUcTluvUVZMJ3KwrCqvf/lZTE+U2X+isH3VdPnzB2v215Tgrp997RX8xov9pL+I1/9xAF98LVv7GoC7ou7Ru4C7V65h7cFjc8lw9XiyadPQ6lUr1777mrkZNi4rUfKfIQnbFF3Jk3saHJwp0W6bw+ZIOeKpPV2EtHnT5S2+dq9PFEOlGLD/eJe/+vwYUyOa/3Bli1dd2uX913WotRS2ShCiyxfvdvEdi82r68wsVGl1NAVLcNEmTcWb5+hsmYmxAOwqhaE1xFaTKy+fhm77Pbazf8/LrrxUuv6U3BSrXcBXXzb1k6sP+XFe/8cDPLssdxLgq9nHWu8E3KHjx56/77QNu1kx6YWWt/J3fu5t6uUrxyX1dpcd25/EtWeYHi8wOhJz97YCQbvCWevnaHUatDqKWrPDnU9KLt0oWbesw5fuqrB+KVxxeoN7Hlbpbsx5nj9W4KrTfYQd8q1HbBodhe/EnLFuCS8573S6gc/KJQHumPx6s8FfDY927DVbNlKuTt8VRd35ZSuWvdhP4U/k9f8H+He4hFgHMA98BeDI0aMAz15QiSYrhSSJwpCFmb04h2vYRQfHjTi+oMM3XX3Fn6xd8vxr2qIdJtEQQxMRQxPwqnMDCl7A3pqP6youO6+FdHw2rrBYiKdYvWbIXrF65MbW/M1/opRlxwkgHISqsmrNudiWxVApkZPT6iiwZ2xi6Yv9FP2buH486Sv/h1xPP3E/GjE5Xnyu+siOtj5yvMqq6YT7titevrWFbYXc87iDrSSXb4146FmHVUsUB2fr7Do0JK44d9lCkuijV1x+0Yv9q/y7uf4/sspBmC4CxvkAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTY6NDQ6NTYrMDA6MDDsCPOUAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE2OjQ0OjU2KzAwOjAwnVVLKAAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29182873
    {'hecke_orbit_code': 9007199422513179, 'n': 1, 'trace_an': 3}
  • id: 29182874
    {'hecke_orbit_code': 9007199422513179, 'n': 2, 'trace_an': 3}
  • id: 29182875
    {'hecke_orbit_code': 9007199422513179, 'n': 3, 'trace_an': 0}
  • id: 29182876
    {'hecke_orbit_code': 9007199422513179, 'n': 4, 'trace_an': 597}
  • id: 29182877
    {'hecke_orbit_code': 9007199422513179, 'n': 5, 'trace_an': -1983}
  • id: 29182878
    {'hecke_orbit_code': 9007199422513179, 'n': 6, 'trace_an': 0}
  • id: 29182879
    {'hecke_orbit_code': 9007199422513179, 'n': 7, 'trace_an': -3693}
  • id: 29182880
    {'hecke_orbit_code': 9007199422513179, 'n': 8, 'trace_an': -4503}
  • id: 29182881
    {'hecke_orbit_code': 9007199422513179, 'n': 9, 'trace_an': 0}
  • id: 29182882
    {'hecke_orbit_code': 9007199422513179, 'n': 10, 'trace_an': -18981}
  • id: 29182883
    {'hecke_orbit_code': 9007199422513179, 'n': 11, 'trace_an': -16863}
  • id: 29182884
    {'hecke_orbit_code': 9007199422513179, 'n': 12, 'trace_an': 0}
  • id: 29182885
    {'hecke_orbit_code': 9007199422513179, 'n': 13, 'trace_an': 116916}
  • id: 29182886
    {'hecke_orbit_code': 9007199422513179, 'n': 14, 'trace_an': -503463}
  • id: 29182887
    {'hecke_orbit_code': 9007199422513179, 'n': 15, 'trace_an': 0}
  • id: 29182888
    {'hecke_orbit_code': 9007199422513179, 'n': 16, 'trace_an': -239919}
  • id: 29182889
    {'hecke_orbit_code': 9007199422513179, 'n': 17, 'trace_an': -1014048}
  • id: 29182890
    {'hecke_orbit_code': 9007199422513179, 'n': 18, 'trace_an': 0}
  • id: 29182891
    {'hecke_orbit_code': 9007199422513179, 'n': 19, 'trace_an': -15222}
  • id: 29182892
    {'hecke_orbit_code': 9007199422513179, 'n': 20, 'trace_an': -2548407}
  • id: 29182893
    {'hecke_orbit_code': 9007199422513179, 'n': 21, 'trace_an': 0}
  • id: 29182894
    {'hecke_orbit_code': 9007199422513179, 'n': 22, 'trace_an': 305721}
  • id: 29182895
    {'hecke_orbit_code': 9007199422513179, 'n': 23, 'trace_an': -2927118}
  • id: 29182896
    {'hecke_orbit_code': 9007199422513179, 'n': 24, 'trace_an': 0}
  • id: 29182897
    {'hecke_orbit_code': 9007199422513179, 'n': 25, 'trace_an': 2133732}
  • id: 29182898
    {'hecke_orbit_code': 9007199422513179, 'n': 26, 'trace_an': -4765116}
  • id: 29182899
    {'hecke_orbit_code': 9007199422513179, 'n': 27, 'trace_an': 0}
  • id: 29182900
    {'hecke_orbit_code': 9007199422513179, 'n': 28, 'trace_an': -3535725}
  • id: 29182901
    {'hecke_orbit_code': 9007199422513179, 'n': 29, 'trace_an': -5768790}
  • id: 29182902
    {'hecke_orbit_code': 9007199422513179, 'n': 30, 'trace_an': 0}
  • id: 29182903
    {'hecke_orbit_code': 9007199422513179, 'n': 31, 'trace_an': -6575223}
  • id: 29182904
    {'hecke_orbit_code': 9007199422513179, 'n': 32, 'trace_an': 2687697}
  • id: 29182905
    {'hecke_orbit_code': 9007199422513179, 'n': 33, 'trace_an': 0}
  • id: 29182906
    {'hecke_orbit_code': 9007199422513179, 'n': 34, 'trace_an': 17098128}
  • id: 29182907
    {'hecke_orbit_code': 9007199422513179, 'n': 35, 'trace_an': 17340537}
  • id: 29182908
    {'hecke_orbit_code': 9007199422513179, 'n': 36, 'trace_an': 0}
  • id: 29182909
    {'hecke_orbit_code': 9007199422513179, 'n': 37, 'trace_an': -11686026}
  • id: 29182910
    {'hecke_orbit_code': 9007199422513179, 'n': 38, 'trace_an': 50473374}
  • id: 29182911
    {'hecke_orbit_code': 9007199422513179, 'n': 39, 'trace_an': 0}
  • id: 29182912
    {'hecke_orbit_code': 9007199422513179, 'n': 40, 'trace_an': -4130811}
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  • id: 29183130
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