Embedded newform data - 31.7.h.a.3.4

Formats: - HTML - YAML - JSON - 2026-06-13T20:57:06.531506

• 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': 1519, 'analytic_conductor': 7.131676592215381, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 31, 'char_degree': 8, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 30, 'char_parity': -1, 'char_values': [31, 30, [3], [1]], 'cm_discs': [], 'conrey_index': 3, 'dim': 120, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 481153777695, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 31, 8, -1, 30, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '31.7.h.a', 'level': 31, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [31], 'level_radical': 31, 'minimal_twist': '31.7.h.a', 'prim_orbit_index': 8, 'related_objects': [], 'relative_dim': 15, 'rm_discs': [], 'sato_tate_group': '6.2.3.c30', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '31.7.h', 'trace_display': [-6, -7, 68, -1753], 'traces': [120, -6, -7, -1034, 68, 1431, -1753, 811, -3488, 1158, 633, 12777, -10627, 16244, 8395, -4178, 1713, -10077, -8345, 60861, -31195, -43117, -67730, -29436, -85880, 25485, 18770, 322940, 48150, 0, 49476, -395322, -92548, -457978, 157789, 129427, 238344, 185830, 309716, 606677, 35959, -164607, -311135, -702621, 772689, -287890, 150530, -523632, 784094, -1034303, -1566491, -1080753, -1164247, 989080, 1197682, 1178042, 2398464, 2436965, -1106237, 1934095, 0, -520303, -3411888, 235127, -583738, -4572168, 111900, -1524354, -2029246, 3662018, 1528315, 6241105, 2588381, -1260273, 707440, 1167086, -597130, -3405041, -1879167, -4997402, -6030051, -1060742, 2947757, -10179536, 2714035, 4916650, 3744039, 11144193, 2916290, -993633, 3702510, 0, -975871, -7349352, 574613, 9276322, -9366930, 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• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [-0.768884972686211, 0.5586276318007727], [1.1646855987638438, 0.1224133891830203], [-0.029897724163611514, 0.09201573345735392], [0.9503965800306868, -1.6461351639528503], [-0.9638927564935784, 0.5565037424314979], [-0.053973396052657135, 0.011472399486607145], [-0.3221025465698725, -0.991329704860322], [0.36335990538281426, 0.07723453213691556], [0.18883093978499427, 1.7966063813477948], [1.2478989740033004, -1.1236132830676968], [-0.046085406559848247, 0.10350951787374575], [0.5290173907197497, 1.1881925135914129], [0.03509053379345358, -0.038971985983046256], [1.3084221943489651, -1.8008886526451358], [0.723170715034812, 0.5254142794808367], [0.37104675709964713, 0.33409200071612055], [-0.32252731470641516, 0.14359841230282971], [0.16636864358887615, 0.07407209246163976], [0.12305563968526587, 0.13666713345476814], [-0.06426641240212418, 0.006754672128793848], [-0.3318093411616798, 1.5610402170354476], [-0.8288777700477359, 0.2693187132581191], [-0.25379616834533564, -1.1940170952677285], [-1.3065073186680514, -2.262937056393647], [-1.0705106920050638, -0.6180596361994961], [-0.7000377411895836, -0.2274560502188894], [0.0005580404540797743, -0.005309400260314836], [0.3048413105540214, 0.4195780684592934], [0.0, 2.1155970143246954], [0.13629719153937997, 0.9906679946270989], [0.19279970628820084, 0.0], [1.5909552738451975, -1.155896666602951], [-0.4719252988614978, -0.049601347639363545], [-0.032411010811268466, 0.09975083439705011], [-0.017970426346065216, 0.031125691465059287], [0.9262192953290673, -0.5347529594868625], [-0.1692970675760487, 0.0359852025847823], [0.4706882638763013, 1.4486295208736941], [-1.9379878449207588, -0.4119320328746525], [-0.08170968746930866, -0.777415746023627], [0.045640132249549235, -0.041094559659782405], [-0.05052919767639861, 0.11349043613706675], [0.06608076105509506, 0.14841981937732107], [0.4724744906181238, -0.5247360822180364], [0.4868627865963465, -0.6701091372214265], 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-0.43478647398352244, 0.3519412438856421, -0.039308755538257106, -0.3895665375536895, -0.4567282740514877, -0.4371594287375626, 0.1839088744722452, -0.3056781009403758, -0.3760546011551996, -0.3234492095174493, -0.14179459628305977, -0.1170083207451978, -0.2681792745223153, -0.2859896782920043, 0.23598450666639714, -0.16916221550828808, -0.3437044530721717, -0.3571606293387634, -0.38403899012353077, -0.09084997695483994, -0.26118500418322926, -0.37325005714433107], 'char_orbit_index': 8, 'conrey_index': 3, 'dual_conrey_index': 21, 'dual_embedding_index': 4, 'dual_embedding_m': 79, 'embedding_index': 4, 'embedding_m': 4, 'hecke_orbit': 1, 'hecke_orbit_code': 481153777695, 'label': '31.7.h.a.3.4', 'level': 31, 'weight': 7}
• mf_newspaces •

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

  
  {'Nk2': 1519, 'analytic_conductor': 7.131676592215381, 'char_conductor': 31, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 30, 'char_parity': -1, 'char_values': [31, 30, [3], [1]], 'conrey_index': 3, 'cusp_dim': 120, 'dim': 120, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [], 'hecke_orbit_code': 481153777695, 'hecke_orbit_dims': [120], 'label': '31.7.h', 'level': 31, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [31], 'level_radical': 31, 'mf_dim': 136, 'mf_new_dim': 136, 'num_forms': 1, 'prim_orbit_index': 8, 'relative_dim': 15, 'sturm_bound': 18, 'trace_bound': 0, 'trace_display': [-6, -7, 68, -1753], 'traces': [120, -6, -7, -1034, 68, 1431, -1753, 811, -3488, 1158, 633, 12777, -10627, 16244, 8395, -4178, 1713, -10077, -8345, 60861, -31195, -43117, -67730, -29436, -85880, 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-16853659549, 15955332994, -8082092710, 12661972066, -4803457419, 559596652, 15086331165, 117007922, -1864032269], 'weight': 7, 'weight_parity': -1}
• mf_twists_cc •

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

  
  
  • id: 6154759
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 3, 'source_dim': 120, 'source_embedding_index': 4, 'source_hecke_orbit_code': 481153777695, 'source_is_minimal': True, 'source_label': '31.7.h.a.3.4', 'source_level': 31, 'target_conrey_index': 3, 'target_dim': 120, 'target_embedding_index': 4, 'target_hecke_orbit_code': 481153777695, 'target_is_minimal': True, 'target_label': '31.7.h.a.3.4', 'target_level': 31, 'twist_class_label': '31.7.h.a.3.4', 'twist_class_level': 31, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 7}
  • id: 6154760
    {'conductor': 31, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 3, 'source_dim': 120, 'source_embedding_index': 4, 'source_hecke_orbit_code': 481153777695, 'source_is_minimal': True, 'source_label': '31.7.h.a.3.4', 'source_level': 31, 'target_conrey_index': 21, 'target_dim': 120, 'target_embedding_index': 4, 'target_hecke_orbit_code': 481153777695, 'target_is_minimal': True, 'target_label': '31.7.h.a.21.4', 'target_level': 31, 'twist_class_label': '31.7.h.a.3.4', 'twist_class_level': 31, 'twisting_char_label': '31.21', 'twisting_conrey_index': 21, 'weight': 7}
• hecke_orbit_code 481153777695 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 8, 'hecke_orbit': 1, 'label': '31.7.h.a', 'level': 31, 'portrait': 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PcFg9hjtSfYOGZYbhlOzCsqns/GSdg6E7JhasDs1JCNU0O2brBs36i4dJtHVdU5eqLJYy/5PHMg5oXjEYnq8K43trjrFktVTXHg+DhHz2hOLyTMpeA+tGS5/vJF/tkHV9k2PcaZhXHmV6sstzQrbUmrk7DajllpW144tMzy0tqlLx1aunXb7Nmd22fP3vMjP/Id4X/5r596rSHx3/X4G83g1s6zujxJpTL4xRdeOXTLP/jlT8rNG+Zu+b9+6JRu9ybpDwOW16osrgXu5rRgpZWw0opYXkuYW4PDy4KZ6TX+1YeWef3uGifnJzmzUOfMkmZ+2TK3FHNqMWGhEzM+OeANV3a5cQ/4skqgAuZXKpxd0sytCHpDiGNDxTfUKwkTYzEGOD4X0+7Cjg0e9eoQawUIn27fsH3jkOU1DdZJkbUuDGOwWFZaIVtmPTp9hVAWYYY0Kx7bNw1Y6wmOn9EkRjPVlDQqgsCDOBb0hpK5FcnZZcv8akwQDMCLuemyLrdcLphpVllebXJyPuDMEswvxcyvxJxegcPLltddtsS//tAqG8ebnJibZG65yuKqz1JLsrKWsNqOWG0nLHcMi23B2kCw3Onz8X/bi6/YOfNIVP9hMzF94SM1T/38Yjdk28ap1xoqr/r4Gxtk/unHP40QG2h3Tv3C0pn7fvahrx8IVpdbnFkdcGRhwFU7V1hYmSCKFXEiMQas0VircIkVECJBCMuR5Qn+1UcFv/DD81x7QUijOkm92qBZC2jUPMabivllxdyq5quPVrj74ZiLt/XYc2HMymqfS7cN+Z63G6JYIbB8/rEKC60K1WTIsbOKbrfBVRclLLRj9u732L1NcvAM3HQJtDoQGk2gQ6brcOB0lVo1IlAxYw3BWgduuLTD4VMBu3cYjp4Z8vJh9+952wYcnreMNYastEO+8NUaViiSJOG2a3rcfK1lbs3j2l0Ddm32iKMmvX6VvUcqzC0JFlcTFlZj5lcMJ1YE892Qa3Yv88+/r8tMc4LjZ8eZX66yuOax3JKsthJanYhWN6HVs7R6guWBYrEdc91Fq8zU23phofKme770GeTYpTd/8DvvMNs2bvonDz/wOd5w23tea8ic9/E3ksG/9KXPc9N1F6q773vhnz+37/Q/efrAAbW8Iuj1FCfasHvrAv/xJxa4ZleV+eUJlls1VloVVloeK23NagdWW+k224lZasHJVYGuDrj58hW+600hF8zWWes2WVipsrjis9QSrLScRFjtGNp9Q3to6Q1ippoR2zcYQBB4llMLHkIG7JhVXLDZsnm2x/zqkOcPNrjuYkutuspLhyZp1EPC0GNqwtAfwKXbB/zJ/eNcsi1mOLRMj0mipE+jEvDysQFVr841u2NeOBIyv+yzZSrggk2wfWOIUhGnlsD3LEJYdmyImWhIOv2Abs+j3fNYaStW1mC5ZVhpJSy1EuZasDxI2L6ly3fdtsTNezQVr8nZpSZLqxWW1jTLbcFay7DWiVjtJKx1LctdmOso5tdiXr9nnl/6sWUu2DjGwvI4a92IfiSp1K9NhmbnLyx0t/7r8cpC8p73fPtrDZ1zHn+jAP7lh15Bqlp10Dmy3XSOfODosYV/+9gzxzmxCN0hxAaW+4rT7ZjrLpznP/zEMlddWGVhdYLltRqr7QorbY/Vtma1Da2OYa0Ts9pxenK+JTjTtSC63PXGFu98veHCTRXCsMZqq8Ja16fVUax2BZ2eYDC0hLElSUBJS+BBNbCMNy2zkxHaG3D4bMiLhwJMXOftN4Rob42n946xcxN86YmYN14RsNDqU9GKOImYnIA48tBezPJyjTdc2+ZLjza4YBM8dXCIR423vd4Qiz4vHk44eqqClj4bJjQTdUE1EPi+QAl3PcLIMgih07OsdQ2dnmGtZ1juWvpJwo6tPd55Y4u7bgnBNFheG2NhpcpyRgYtWOsktLoxaym4V3pwtq1YbCe8bvc8v/wTC1y2vcri6gSdXoU4VnT6HgdO+HTjLdSb0//0nXfs+PMdF+88Yfv9vqxd81pDKX/8jQH4wYMHueiijf5n7nnlBw8ceuU3a9GLYnUVeXIuZmktptUzdAeC1kCw0Jec7US8/qIFfvlHl7n2ogpLa+Msr9VZbQesdXxWO5q1jqDVsbS6CWudmFbXsNq1LHQEZ1uGifEeb3ldh5v2xOzYoGhWPdqdCoEnAUUYS4wRGAu9ASAME40BB09bjA2596k6w16Vi7b43Hxlj8is8eAz41xzscfBuS6t1SY3Xtnjq08HbJi07D1u+V/f22bvsYANk5L7nlHcfKlipdfmyMlJrtkd8uCLfeJhjZsu89m1bUA/7vKVpxUkgsOnNM2aRgvo9SXGChJjiWJAGrRvaHUt9UbEtk1Dbrm0x1uui5mqV5hfGWN5rcpq212b1bag1YVWJ6bVjXNZstKTzHUES52YGy5Z5Bd+dJGrLqiwuDrGWrdGp+fT6fmsdTwWVjXHzhiENOb737fH7thxxU/Oda//g6o6GV646+LXGlLA3xCA9wdG9vu9d993790XLbfCX/mLrzzsXb3LJ9A+K62YVjei3TN0+5bOQNDqO5CfacXcdOkCv/iji1y3y2etPcbiaoNWt8Jax2etq2l1FK0edLqWdi+m3U3o9g2tnmWxK1jsQpQMueriPhsnE7o9yztuHLJzoyFOJFpawggeeL7CiYUKmyZiXjpcAVNjz1bFtZcYgkqPpw/2WFyqc/nOOs3xVR59weP6iyss99ZYXW2ycaPlib2K77ujy5N7NVtnPZa6LVZXJrn20h6PvpQwWR3n8ou6LLRaPPHKOFVd53WXWHZvH4Ds8vxRwexkxPxixIPPewwihZSQGMvOTSFvuTGk01VsnjBcezGEYY2VVo2VVsBa16PdU7S6knYX2r2Edjeh00to9wxrPctKX3K6LWj1h9y8e5F//SOrvO5itzhanSrtXkCn59Hpe26n60iW10DrPpdf2Gd2623RIKz+w7e+7R2HKpXKF4TU5rXG1msOcGuXMUn8dw/ue+FXv3b/45Nnzq4QRRaEREgYDg29QUyvn9AdGLoDS2cA7YFgoa842054/SXLvPfmFb77jpjxWp255Sar7Srtrk+r69HuaTo9SbsP3Z6lN0jo9hP6Q0N/6P69la6gO7CEsWF6IiYILCDwlUVLQa+vEHhMj2l2bhTs2mzZvqXHMOnw5ScV+w41eOt1ATdevcpHvmzwxQTvva3H5x+N2TLeZOvmHvc/XeXv3Bxy33NwwUyFTRtW+OI3arz3jR5esMQffrHJLZfVePMNbZ4/PuBrT2jCYZ2dG3wu3CzYsSlhZiJEyojuIEEpg1YWsNQCy8w4hJFHp+ez2vHoDjS9vqI7kHT70B1Yuj1Dt5/Q6Sd0+5Z237LWh8WeZH7VUhtr8/13LvLtNw+5aleVpdUmrW41ZW6X8en0Fd2+otODQWiRUoC1xImlVp/gymtvWrn8yut/Viv9h7u2N15TfL2mWZTDp7ocOS1+ZPnsp3+x0vv65GTFx05X6Q8VYQRhDFiZViABAUK4TholLUom+FLywsEZnj1Q5+CZBd57S5dbLhsw3miy0qpRb1do9n26Pe1uzEDSH2h6Q81gaBmEhjCyRJG7QXFiCWMfa0AqgacFFV8w3hBMNGDjtGHrhh7TEy3ueRoeetZDmjHeep3H1Xs6PPxKRDhocvPVgla/z8JynZt2G6bHe1R1wCBWLLYjlBFcvVtTawx5Zn+FW68d48arOjyzX4Ed47rLfH74XSt89bmQ+56ss/dEhe0zio2TVSYaNcYaUA3A0xYlwVjYe1SQJIIoFoQxDCPc7zh0i3kwNPQGht7Q0O1DewiLXclCB4ZmwJ3XrPDuW1p875sNcdxkbqlOu1uh0/fp9j0H6r6iNxD0BjAMLWFkiCJLFBt6g4T5Aye5+4mFyZ//qcX/691vfae2dvV3hZj4/x7AO+01Al/88B9/6uFffPjJ+2d//NvOsm3TFpTn0epAfygYhBIlBUIohBBISQpuUMqilcVThqonWOpV+bP7t/K1Z9u88Yo1PnjnGldc0GVqvMbyWo1OP6DX91JgK/cMBcNIEsWCOHZbfZZiVNKiNVR8qFUNk42ILbM9YrocPB3x8QcrHDlZZzyocv1lmpuubPPEgRb3PtbkhosrbN/U40/uFygR0GxErHWHGAtKwEyzR7vjY+Iq737jAn/2pRq75iu884YeYbTMgy9OESUVXn/ZLO+8vs3F21p87ZkeL5ys8fxRn62TksmmoBYIfM8tQpkufmPBGEsUp4s1sgwjt5AHIfRD6AwEq0PBSgeEHnDNJWt88C1rvPGyhKlmldV2jVanSqcX0B14dPvFTtAbSvoD6KULZxgahqGhPzR0+ob5tmQ1WqYz98XZ4wfGf3F8w212ZaX1e5OTr00n0f/rAL/3vl9lQ/N17H3x6z8wHPR/5eyRfdM6TugNApqVmGYtwlpQSqEkSCERQiCEREmNlAlKiXR7NnjKEmhLVQtWB4rl1gSfeKDO4y91ufmqNT745jWu2dViKqkSxwG9QYVu36M/1ISRIoolcSJJjMBY4aqgwhL4hlolJvBDfG/I6eUhX3xKcuiUz9FTEygTsGuTz6UXKK7b00YFi7x4uMGW8RqXXwgbZ1ZZaTe5YoskNpZ7ngwY9iTj9Zi3vX7AFx6MODHX4JKLPM6uDXj5iMe2DRNcdcEiD7/Q4dGXBcPQZ88Fk+zZFrBna4fDZ1c4dBqe3Ffj4JE6NS0ItKQeWCoeSOk0p7VuscaJ2wXDRNAdCtoDQTuC0MQYO+B1F7f54FvavPGKhE2TAYPBGMutCp1uQHfg0+trugOVmtUE/YGkP3R9o4NhwiBM3MIZWnpDQ7tvGYSCeiPg+KmYE59+ZLY5tfQrjWY9/ujH7v3IIH6ZH/nQT//tBfjzj/0p/+aT/5UP3e59b1Mf+w0vXh6/dHuNqy6sMFZNMMZS9RNMIpCAFKRsLVBKoJVKXw1aJXha4GuD71kCz1LzE8Yrgs7QY7U9waceanL/8wM2TPT4wG0t9mwbMOh3ufwCy7aNimHkkSSKxEhsBm5p8HTC8XnL0TnBWt/wuYdrnF6awIYeExXF5inNjo2aC7fA5bvaGLnEh79QZ2VljBv2aC7f1eJrzwtE7DE7IanXYnqRj7QSrERpn9ZAML8iuMzWuO26Do88U2XztM8Nl0/yQ+9a4g++1OHJ/XW6A4/ltQYXbK5yyaYer9/d4Ttu7XBmZYXPPRyw3As4ftbj9GkfTwmklAgExloSA5GxJLFhYiriyst6DIcRe7YNed9tQ2bHFJONgCiqcHaxQq/v0xu6Xa6fA1s6cA8FgyEpoB2wh2HCILQMQusYPRQIAWHb577HA5RYYqnzjenXXT31G7ffsDm6bMenPvYb/+3P+em/94G/fQD/2X/ze1x9U1Pcd88PvP/o8fnf+fMnT9e+5y0drrioSW/goaQgEZbAjzHWxb5CWpRUSCVRUqKVQKv0VQs8neBrge8ZKp6lGllqoWWskjBRFfRCSSesc/RUnV/+2CSYGBHHXHdljws2hsQxGGuw1hVxpBBIJdCez/4TPnsPVahXNA1fMl0TzExJZic1m2cUOzYlXLJjjUQs858+0+T4iXFu2O2xZ2dCP+7w2IsB41WPqTHLeCOkVnVSyBhJa6BY6VqWWwmtbpU3XL7GU3t77DuhGG9WeP1l4/zou5f5L5+FZw7V6fYtax3N/EqTjdM1ZicG7Jga8A/e36NZa/HCUdh/UuJ5FqUsQhjAuv9ZiGPYuTHh5itiksgjigOsrTEIPeaWfPpDt6MNQpXLt34oGKQysT90ensQppJkaBhEJn0vezoLQmwExsDJJWgNJBftaHP1juXx06fqv9PpfSj++z/x4Cd+6Nt/3Ta3/MzfHoAff+U32H5pT1269chdn/zqwkduv/L5yrWXDFjphGycDml3awxDTZRopHCVOik9lLIumFQq1dsSTzvN6XuKoScZhoYgTBhGlmpkGEaGMLQ0YxhGhmEMYSwYRJJhEhAlFfYdqvP8PkisxUHbaWNPgq+c56MRwOWboFmFsbpkoqGYGtfMTsL2jUM2zawR2RX+02fGOHxkjGsvVFy4VbJr6ypffzlmfnmM6y6QTDQNFb9PIAOsEsSJRFhLnISsdivML3tcu6fK1bs7PPxMhQ0TglqlwbW7DT911zK/8VnDy6cbrHUNax3F4qpmerzORLPKRHOMZi1iph6x49qQwIvxdIxSCVK4YMLiFlUUKRYWNVGsiGJFGCmGUfoaSoaRZBhKBqFkGAoXoIaCYWgdqCOntcMM2JF7fxDCIBIMIuhFgn4k6CeCfgzdfsgbptZ45WTCvmMv1H7+h3Z85Gtf3WP+99+5+DP/+jf+MPnnP/13v/UB/qUvfpqXj46p/cdOvK/KwT989rmlyrMHphgmfbZNtrlsV4s9W0IGYYXeoIJWCUr6aZZEo6TFUxZPKzxt8UKJ7wl3EzzB0FeEkQN6FFnCOHFZkbj0TCBOLEliSAxObxtycItUCmkJngeBFlQCQS2Q1GuKsZpkYkwwOxmzY2OPRn2NzzwS8uCLk6wtNblyu2LHJo+Ltw1IxBr3PFmj7mlmJhSN2oAXD8MrRzRXbLP0hoqrLo64cpdl7mzC4qpPf1Dj7dd3+MYLfQ6eVtSrksBvcsWFhn/9A8s88HKfLzwwzXLbsmM2YbWlGW8qxuoejZpHvWqpBIbANwQ6QSsntWTaWmktrmBlBLGRxIkgjgVRLAljQRRJhpHLvISRIIwsYQjDKCGMUlCnxDGMyk8H7n4K7k4k6cTQCw02GnD19hXe/6Y1Nk5ohjcFhGvLledOTfzxT71z8e9u27Dpk5/45KeT97/vO761Ab59dk0myfJ3nz4z/9+ee2mtsnHCY99pj6OrDZ7aW6c/UHznm1q8//Y2k2MR3V4FJROUTtDaw9MJntZ4kSbQioHnmGboSUJfEEbC3ZxIEcUQRtJlEOIi7RcnhiRx2YXEppmS3JDlsjNKOtnja0HgSyqBpF4VNGuW8YZhw+SQmYkOsV3jE9+Q/MGXppitVLhyu2D7Jo+dmw07Nq3ymccsKysV9mxUTDShUYuYPyZZWA3wL4BhJJgZk4yPw8GjltW2YW6pwsU7K9xxXYcvPlRhqgGB76PkOFfsEvzYOxfw5AKff3iCV05X2NCOmB2PGasrGlVFrSqpBprAh8ADrV2GSQoXx+Qgxy3sxECSCOKEFOgQJZYwhihKHClEhjB7jUyadsyyMmkKMnaM3Y0F7UjSiQzhIKIZdPiub1vifW/qcsdVmnavyemFcQ6cqNNbOVs5s6B+Z2FNa+15f4rjmW9NgN9992c4Np/8wMryo//h2h1HmzdesZl2D84uGzY0JHOqxj1PbeSxlwLmVpf4X7+jy0QzohK4iqOnYjzt4WkPP0wIPY0fOmkSRq6U7hhHOCZKWSmOIUogSVwmwRgXcBljsx7OFNwO4C5wFXjaAaQSQK1iaFRjxhsxM+N9pifWeGRfyB/fW2X/0XF2jnns2ghbN/ps3QCXbG/Ti9s8sbdJVXnMTCjGGzDeGDIxFuP7GiHc4uoPfVbaEWs9S6sbs7Dqs31jgxv3LHDvkz32n25SCyI85SPEGLu2KL7/zUu87pIF/vjeBk+8NM5yVzPbjBmvxdQqkmpFEXiCwJN4notVlCJNHzqUW1wPqzHkQI8Tk+5uaWoxNsSJA3ccQRjb4pnWJgaxI5VeLOhEgk4C/X6MiftMVTv85Hcu8398d5+KH7Cy2mStW6Xb95hfFjxzAJ45eqD5I3e1/tMNl93of+2+L/7BnW9517cewE/PtZBS/shX7//zX3zg+SNTZ5eGzI7Ps9wfpzPw8SU0PTCNCq3BJP/hzz32Hl7l3bd2ue2aDhumh7Q7VQbDAN+LCXyPYagJfJfeywAeRZIwdttuFKc57YQ09UfK3BJjKcCdFo0cc4NWrmDie5aKb6hWYhqVmInmkE3TbeZbPX7zcx73PDXJymqdi2YE22cFW2Z9ts4KLtg8QPtr/NmDmiMn6+zeIJloSMbqCVIOOb1oCbTEFfwEYaTZMdvmSRLaPcVq2zK/UmX31grfcVuLT37N59h8gKcjhPAwtk4US667YJUd39Pmnmd6/Mk9kzx9rM6WCcF0PaFeSaj4gsAT+J6LVbTCBc5S5CVri1tkxuIyLYkDfAbyOHGSzoEdwsR5XcKseBQ7fd2JJd0Y+qEh7oVsnW7zpmtXec+tPd7+OoMWNVbWqvTDgCRR1Ksxk+OrqErMO9/QoaHPTPWGu37lPe9+v7Jm7XeFHP/WAfjKSgvP837o3q899Iuf+fL+2ZeOT/GlxyzNGkRDjQK0tDS0C4I6BLRDzZ99PeCBFzpcu6fN99zpXHBT4wH9QUB/6BN4HmHsEUY6D5TiWBElkjiWRIkgjiVJIkiMKLS2EeSqxDrmlsIVi1RaLPI9Q+AnVIOYRnXI9HiXftTnay9aPv71MZ54aZwJ3+OKLZZNk5INUz6bZyRbN4RcuGWVF471+dw3ZhhTmpkxQbMuaNYiWr2ELz1WoeFbhHDA6g817755yN2PO09Mq2tYWNVsnW3w3lu6PLGvw96DPvUgTgtdHsbUGIRO63//HS12b1rgzx5o8+gr45xYrbKxKRirWGq+oaINvgdaCVdLkBmTQ+bOMKlUM6bY4eIU6I4gIEoEUZICOxEMYsfa3QQX84Qh9WqP73rrCt/95jbX7U7YMOHRG9RpdQOGoU8YaRIjkTLmil0hF20f0KwltLsVWv2XZl96ducv7rniDWbQb/9+pdr8mw3w5aVVJqe6gPnQY49+498/+vDXpwZrLcZVgFIQdiHQTiOaHGgWXwg6StPz6pxqB5x5vMbjL3b55JUd3ndHn7fdPGBy3CccBgxjjzDyiCIvzwjEiWt6iBNJkhQANzZlblNYboSwaVDpfBxaG3wvIfAjqkFIo9onoc9Xn5F87P5xXjo6hogCdk5YNo1bpscVM5M+G6clm2citm9sc3Kxw299oU48rLJ1q2C8oWnWoVmLEF5Iu19nvGERQmAtRLFkMlDEJqYT+XR6CattxenFKpdd2ODH/84av/KnAccX62gVpQtDE8cVBqFk41TAdRe1ufLCLi8fP83Hv17l3qfHOdOqUg8UDR/qnsXXFk85MlEylWSl+2UAa9yiS4wgsRAnwuXPE0GYuCJRPxH0E+jHljiOMdGQqUqft9+5xgfu7PDGKyLGqh5hVGe1FTCM/PQeacL0/hjj6hh1P2DQVwyHHstLEYeOPzA7t2z//aWXvz5+6vmTf3TF7jEq1b++qudfK8A73T7W1t/z9cee+i+PPf61pqTPphkP34/p9l1wEqf6LzagTZq5kOAnhooS9JRPL9YsDCt8/vE6D77U4/X3dfn739nh0u1tZscVzZomjHzC2COOdQ7yJAO4kRgrsdZJgqLDJy31K+uKRTom8GM8FdLuRyy2I379MxWOLkzwzN5xrPGZqgpmpy3TY4KppmJq3GPDlGTjVMyWmR5T46vc86zh6VfGuXKrYKIhadQkzZqhXg0R3pAg0Gjlfr61kCSS/lDTH0TERtDpGzpdy0rbY265yU2XdLnxsjX+7L4K1RWFlpEDpNXEiU8YuR7P6fEKr9vV5XUXdXnyTWc4vij543vHWVircWo5wFeSuifwMxkmXeCZE3kmVUjviRXEBiIjGCYwiCE0FpIY4giphmye6HPlDnc/rr80oVnVxHGdVscBO4o1YeQRxyrfaZPEZW+McWnSYSjp9DULqx5nFtdIzBemdm5J/suVl9yyGobdz/11YvKvDeDWPAVik/r4J/74ogce3d/sddbYOlNPt3xnkPIjp+fitIwcx5ZICZcGjC1BIqgpQV8Lejqgn3gsh1XufXqMR17pUw+G/N13tNg2FbNjc5+bLu+ghaJR0wjh5IqrSjqvtLUl5sa6wpFwOXNLDDLm5aOSp/ZpvvhEg5dPNAjjGg2tmKlaJuuWiZp1efCmZnJMMzUu2DgZs3mmz6aZVR58aciHvzjLpnHNTBOadUWzLmjUYqrBkEcOKAahxqs7UFkrCGNJRSuu2d3n8RfHnfGpn7DW9lhaC5hfmuDH3znPqaVlHn9uBk8CIsIAcQqgYSjp9jUTjQrjzTo37u7xpit7fM/ti+w7abj7iQpP7Kty4EidWGiGQ0UvUqjc+lAOPNOagDXExmKNwRMJY35IhYgbr+1ywaYBW6cjPvi2IVVfUq96hGGNVscvAB2712jkKdPd1cnHMHa59m7flf+FDIijNV5+4WvNfYfmL4rv+KD63IP7kve8ac/fHIA//9xe9u3b6XcHD//g1tnuf7jtylVOztVp9wSeJ6kGEnDbZKisCwgTiKVFJzZlcYFnLEFsqSSCmk5ZJPHoJx69pEKnk/Dv/2wCG0dsmBlw2fYBU2Mx77ujz/bZkCgSqd6WUGJuUv0ppUFIwaceqPLC4TpCa46fqXF6vkalqhgLBON1S7NiaFagURWM1RTNhmKioZkah+nxmA1TA7bMtknsGp/6RpN+t87FWy3NmqJRkzSqhkYlxvNC7nm8wrAn8WZBpmCKYkm9qnj76/s89KyhO5R0+wntnmato5lbrnHpBQ3e98Y2z7xc4/hKAyUNEKV62SNKFMMoBctA0+r6NKo16tUhl24dcMMlA04utDh2dg3tJTx/RPPJr9cQyhnXWD9/0BrAgLVEYcKODTEfuKPPdDPhkh2WDVOQxB7DsEEce6y2PeJIESXFDhpF6Wus0phIujRkFiPFIv/M/YEgjNw8yQPHqtz/bJfb3hT+hzsOPdG77uar/uDY0QPhzgt2/80AeK9zAq+xuPull0785kNPPCq/580GrM+RM57LS/sy1dzOKBXFDtiREiSxxTMuD+slECtBkFgqxi2E0FjCRDA0kmEiCY1HZGCx2+TrLxgsCX/xhBvZgDXpM6vipSkykTkSJVIp4kgjjcbTkkYAF8xY6p6hFhhqAdQCQb0qaVSdHBprSCaaMDUWMzMxZPNMh4RVfv3TFR5+cZZdUzBRS9m7JmlUY2rVkHqtT7VaI1ASJVMNjpMDUeQx6Av6w4TOUNEdODdeq6NYrfucmh/jDZcN+an3z/Orn9ScWAsQwmBthEksUeyu7WDobKyNvqZe8alVK9SCGpUgolENue7iEN+LuP7imA/e2UOrOC0CGYSwo6I8lXTGSISQBJ4CfAZDzfKqdr6dJIt50mcsixgoTp9JCu6UtaO0sJSldYeRK9SFkfP7n11OmGsPiFpfl/Mng9+8+2zyDUzvpb8ObP4/Bvj/8e/+lN/6kqlesemZuyb0C8LSZf/JgPGKi9KlBE9JjGcBiRTWpedip79j5SJ2nbjexziL6BPhpEwW2RunD91TEBpJbCWJ0UQmIEnTXuVHXqUUoIVwO4WCStVS0ZaKSgg8F/hWfEs1EFR9Sa0qqVW0A3hdMN4wTDZjpsaHzE522Ty7zIe/aPiTezewbVwx3TA064pGTVGvQa2a0KhGnF02HD4bUPGd/RYyp59gEGou2GjYOD2gPfDpD2zK4pK1jqZRrdCojfPBOxc4cnaO3/ncFrTUWAyJSYiNJYo1w1DRD50pqleR1AaaauBRDRJaHRdj+F7iCmZegpauUULKJLdFCJH6VtwVS0EuaJnUZWlcXJMkEmMksSninTgRpQBfFHIkKSqmcZqNiWJBlNUsEne/RHqTLt0xJPDX+Iv7HhTve8fcXW9+59bDvbnf7dc2/shrC/B/+L3SP3j87D/6+BcX/9GhflcePtVgdbXGtRdJotixqJSukFIA3KKly7lq4wCe5axdusrlZJOs6mac/TMvs6dOOZfLFXmgVNbcQFrJc4GVlgYtST0t4CmBp63LG2tBJZBUfEk1UFQrikZV0qhZxuoJ442YyeaQ6Yke2zcs88SBIX/2wGYmKgEbGoZmTThwVyX1iqFeiWnUhjyxH57fV+OiGZvq3qJs3h8qrr/EcvH2Pk++NE5vaOkPErp9nYLco1apUq2M8123rvD8gQUe37sRrMKYxNlhY0sc2dxP0h9qagNLtaKo+IbA9wj8hEAbtE7wtLMYK+UaRqR01mCERVDouSI4dxZik2WkTJZ+LaViM2AbB+T8+8TdKwd2kbI4RZ3CuJ/l+5ILtni8bk+F6YkYTE92Wyv//MMf2eSv9Tf8AhC+ZgC3dkWGw96/bD//0Z+drqz4L57ewERgaPiCpTVBreJ+CaUowC2cgSpRFpVYEuPkirtwFpNemCSvPuLYOQW5SStxWbHCWkup8j6y42al6qygo9KF5ilKpi1X/Qt8RSVQVANBrSpoVC3NWsJYPWa8MWRqrM/mmVUe39/nX/7hBk6cGufCacN4DZpVRb2qqFegXkmoViJ8b0Br4NyQnkrbutJHkmYTotinWY3oxYZe6rPuDRI6PUmrqqh1AipBg50bI/71D7b4Fx+RPLZ3AxaFsYYkMcRJTBgbwkgxCBX9QFIdKiq+JPAtga8ItMHzXL5fK+sArhzAVSpThLCj/Ytpad+mJGJTL0uSAj4xxasjJpm+ihTw5IvANZOkcVeSElmSAlBJxurQ6Y2jZIOZhuD+R1p+c2bhH37/B9/mfe98+59u29D8K5fz/8oAX13tsLpqfuH5Z+//mSdfPF7RusrOTRDGBiUdcBBuNpxQAimkY4wU3EniiixJYjHK5ixtjM3LyCbP0YI11nWRpxbQ8pN1AE9ldxpYOomipFtoWpGW5QWelgS+xPcUlcCNZKgGlnrF0KglNGsRY42QyWafzTNrPL6vx7/4g2n2n5hkx6TLsDSqknpNOvauWmqVhFolIkpCPnpfA6kUnrQoUaQJjc22cI/vf+sqX3k6pBMG9IZZv6ii01W0Ak3FDwi8Jpdsi/m3P7zMP/sDwaMvbcBYSWJcWT2KndFsGBqGFWd3DQJBxRMEvqts+trmFVutDFLZtKHEScYc4EXJE0hJBFdLcNmWNJA3FMU0CyYvrmXAJt9xc1CXdmljbFpQds7FpTXJalu6NkVhMcMDleefe+B/+7a3vF0M+t2fr1Tr/+8CfGH+CNaYG5986kD10HHF7Hi6zQcyBZbIc64usBIoIxy4jcWk7G0MabnYjjC0MUX7lQO6cD6KDNTZhV/3uTKAZx6MrJKXsbfWme9E4nnS+Td8QSVwM09qQUK96sDdrIeMN/vMjLd4Yl+Pf/n7k7x8fJqtE4KpekmaVDT1ivOvVCsx1SDE84acXp7AUwIlTZqWK4LMJJHEsWLThCWOI9pRJe2UMfQHCZ2BpNpTVHwP36vg6TH2bI35tz+0yD/+PXj8lVkSIx3AE0sUJymTG4aBoRJKBr7KJZjngaedRHM+FZe9klluPH09D8adXCEtCiHy4pBJi0NZtThJSkUjQ7obl4FdvqcFwOMEoiiVcMBEUzM1FnPw5Rere7ddfKOQgr/q468E8IMv3cOW6WHtI3/6NV8z4OKtlRxMnGdgel4Stm51GyMw0pJYcgYv/+KFDLE50G0mR7KvX+WzSVGYqKR0Cy0Dt5IybZTI5AlUPAh8Q7ViqQZOP9eqEc1ayHi9z/REi6cPDvhnvzvBi8dn2DyumKkbxqqCRkVSqyhqVUG14haHy/uHPL5X0B34VBTpInM3MGtCSIwgijX1iuKmyzs88XKTXuRkSn+Y0OsrOoEi8BW+56f6eZxLtxl+6UcX+Lnfhkf3zhIZSWRM2ixd9GAOfUngG8feXuGj1yp7ksqUQsbJtMp7PpBnRSGbATwFfJJnXhjdeTNpmazfmbP7W/S/jhCUgOFQsNb2GIQt7vnKl/2LL7+j9kcf+3LvQ9/7jv/5AD989Aiqsn38xMk//60t061bW62Q8bokimX6y6Vb1oiMEMUvrEor3oBR4vysXQK0yYFduiip9s5vhnCGIiFTcKcmI5UD3LW+edoxme/hOoH81GAVJFRTedGoDhlr9JlotHnu0JB/9rsTPH9slo3jmpmaYawK9YqgXlXUqopazt4JlSCmURvw4PM+a60KExNFmTwDjEl1apQoZqcUd17d5cGnjOuiCU0J5JKKJ6l4Gk/7aF1FSsOl2yy/+KML/NxvWx7dP0tkNFHqAHS2V8fkQSRzd6GvJVqnJiwpUDq7NuSfL1uEmVQRmSuNoiC0/mlKr8aUXvOd15YAbkfusS0TF0UvqUlS+25k6EWtWytjR3/vZ/7ee3/inW8+vDa7cdf/XICvLM2j1OrPHTm497s3jO1ldmyS1XZAb6hTL7bIA42RX9iWV3ax4jP5keQyhJy9RwLJ9cydIj2ryOXaW2YOukJ3Z45BrXD+DG3xPNdYXPENFT+hWompVSLqlSGN2oDJsRbPHBjyj357mueObGB23GO2ljBWsym4U/auSKqBY/9KEFMLQmIzpBMGCCXxMgbPNbhIt/G0+BF51P2BswuEFSYykA8Ser5j8MCXzhOvswNoLVfstPzKT8zzf/43w6P7NhAZzTARhIlJWVxQiQyBZ/E917uq07hDpz2uSsr0+qRyMnstGbPyhVmOddaBOyehEjFl4F4P6oLISmavNCuW2ZvD2NIPYbUL3dNn2Lkz+O69r7x0eBiG//h/KoMfODRHc3zDjuce/e0rH3n+LO+4sctFGwVaj9Hu+g7kYebuS+VIOl7MZM6+7PuSdnOGKEYCyAzs6/0ktrxnZqxdDiqz7Tbt0FFpMKV12hmUmpAy92DFS1LdHFGtDJlo9hird3h8b8zPf3iaZ49sYGZMM1NNGKtYGim4qxWXTszAXQ0SKn5Msx6y95jlgWfq+FLiKZMGcYV0ywLnKFHERnPbdREXXdjl8IkqMzWKPsdhQm+QsrBWaO2lnU4ud335DvilH1viH/+24RsvzzCIqq4YFltqqYc78HAg19nuZfLeVqmSfIdTUpQALkog5xy9UoDcjgI8B22x82YAtiUgu/ttR8Ad57Zc6IeWVl9ysg0XbB5Q18f58tefvfJn/t4P7Wivnj3enNj01w9wGx0BrXaeOvbQrxlz8j2TjZMst/pcfUFCYhTgMiQDaZ1PW5VcfaYEcmsLGVNi9iIdVYrcy1mSc7IlKXOvB7ewSJWlBR0YtEpZW1t8bfA8Q+AZAj+m4sdUgpBaZcjkWI/VTo+HXoJf+thGXjg0zXQK7vGqpVEV1Csiz5W7zItx7O07gFeDIWGSMOhXqCi3yKQobf1kkk2kgaZ2Wl4PGYaWfiRKADf4foLvaTxPuqkC0ssBjoCrLhD80k+s8u//NObRfVOcaTUZ1CXjiaURWyrpxIHAs2nuP8uk2Jy9M6mSATz/vOmHLuM8V4jpTbH5vRplZFti8hzsZflSSv0mBgfuxDIMoT0UzHUkvbDPlqk1js2vEvTOvOfzX308ufyKy/635w6cOnbN7q1/vQB/+cBx6rXaDQ899uJdf373QQ7Oz0AS8vfvWubbbujSqCmslQhASuVy3YkkXufLzlg8s7EWq1uULsy5AM8ucVkVZjfBjXvI2DutlEpbGg7kbLGeNumYiSQHd+Cn4J7ssrja5xc/WuNzj82w1J1gZkwyU0nBXXG6u5YGltVAUgtsyuBOe1eCEAi5/zmf1chnKmDEj40Y3aGSxDU/NAPNHdf2eHx/SCcKGMs71g3+0HnVfe0ArpVFSQ8hXYEGC3u2SX7177e5+/E+v/D7Gzi1NEF/XDPuCxqxoRZDELnRy75yA428LNCUIg+Cs9dyoF5emFmWIwN6QT52nTa3JW1ebrBI2b2U/k2Mq2BHievK74eC1kDStxHfffs8P3VXn2EY8OLhx4k6k3ctz3sfjcLesb9WBh8OevhB9eJnnnnop7/+0AGOHJ8gSTyWO5b/66OCKy9YYctUzEAnxJ5Iq5fOLahKRQGbpZVyrV0A3WKLNNR61i7LkvRCZ8xSdOGTF5FkNvlKOmBr5cDt6QTfS/C9mIofEfgRjWofrXs8+HzC732pyRcfniU0TWabgumKkyUuBZjlyVX6FClzl9k7Qushj7wyTi/UbKpln2c9g2dBtiSKFRVPceOlfWLjAN6PhOtazzrXh8YFhzqdDZOm90RaXLcIpscF3317l0Zwht//Up+HXpliLqrSq0iasaWurQO5TuMQZdO4xKYgz66hKLzjEiQFi69PkOVSJRtRwXptPgruosGiYPQkyRotXJUzTFyP545NXX7ugx2qcoaVVo0rd8LhuUOYzdf+9C03vPHZXq93sFar/T8H+KHDJ5k/fg+VanPzsHX0TVvGY95wWZV2N2GlA4vdGmHUx1jhhuYoV3SSaXGl0OFZybcA94jWJgN6Gdil1EM5fSXsOmmSVeWcY9ANCzKp5zsFt3JejMCL8P2IihdSqw3w/R4fu1fzy380y+HFSbygwsaGYDJIaAaWegD1tMO+GrhqZyUtCDn/SpLuBE6eLLUTuqGPrxS+tHmASelXyXawzLsRxh5Vb8DG8T5rvQb9SKTj1lys4HlJmuZTabpTOYCPBK7O+fieN3a5/rJFfumPB/zJPTOsxHV6gUfdkzS18+AEGnxF3gyhs6JPuvPJXKoUBaAyqYyKlTLQOe8OXIDbpsUiShIl6w1N/SkGlLAESrO4NM3i8iZWWh6truTo6SEnWvvetP9ktHlltXVwZekUk9PfXKr8pQA3JkHU79i5/9iLHz544Gmuuyzh0Ikqax1NFFl2bLaMVcfpDzJzlUGnl0AaF63bvOKVlnxt4XfIVztFUIkV581zC2zBJjIbxFkCuLQoaZzXJWfuJAV5jK+dJAn8IYHX59h8zO/cXeez35jiyPwEzZrHZAUmgoRGYNPSewZumYJb5kWhSqq9A98tnGZ9yGce0Rw8XqWSTuDK28UoUF7sXk6HR7Fmzw541/Udfu/LU3RrmmbkZo8EYRo3KIPWMp3yRQnkXolS3a6wfVry89/X48oLTvHbX5zkyNwYK3GVnqepK0EtBbovrVs4aZYp3/2y65qlD3H6vKh02nPz5BkxlVJ+5lWBXpYsadUzBT5A07MMW1V+/y/qbJ/1CWNBqxOz92TMheIl3nXnng9fdsmb3tFqt/5SqfJNAW5NBELz9NPPbH35lUO7jhwWXHFRhc0zCRNNl4qbaiqGYQUpQseeyqSSwcmT9aDOzDuZmadY7SJngfxi5bRtR3RgBmyRelsyC4CSJs2aZOyd4OnYde7omCAY4ushnSTkNz/h8/t3b+T08jhGVZkcU0z6ljHfUEuZu5aX72XqU0mlSZo7z8Htu+rlMAo5eCqgGwZMBGkWJys6ZVmJrAprS56USNOsay7YGqKCAZ2wQd8XVCPLMAO4TtJCjXJ57Hwo6fmCV8XMWI8ff0+Pu26b4/fvbvM7n5piqV+nrytUtKKmBVXl/Pd+2u2jpEirm6S7oT0/k3MeubI+w8L5mdyUSM2UmDx7HwGBttQ1nFmwDPpDpHRTcifqiilvyKljB3YFfnXrJXuuPdYfRFQrHq/2+KYAP3pinkq1MaO0+kR78Vlvz06PZs2iVch4w12AwEtQ0h32pKRjWCVtOhJNpN01lEA+yuAZkC2vzty5kTO70CmwR+RJuriUShzAdYJWCb4XUfFDfC+kNQh55AXJx+5t8qlvTDFIGvi+z5QvGPcNdd/N2a75BbgrgSQIJEEqTVxhKM1MpAD3PVf5PHrW8tDTNcLII6jbcwLMfFfMmctZUcNI4XmaO6/v8Gdf7bL/VJ1+JfVNexY/Bi8yeKFBKTdx18kIWQz3odgREyOJjaQWaDaM9/k/v6vHpduH/Mm9DZ7aO8Ziv85A+XiepqIFVQlBNmApS69K6+oJghLIRz0r681ZZUbPSYtRJj8X3CJ1gqbOU9w1iwx0BoYodj/b4jxEx89K7nngOe9/vfTaTyTR6tVhv7v4V2bwC3ZMyIMHDtxw7wP3jW3bfJprLsy62p11Eki70pPUwGNybzFk7G1yK6u1o1bMUeYeZfAR44/r0XFMnpeUTW73dLrbuqlY6TOTI1pHtLoRD78k+MMvN7n3mTFWWg1ktUKjqhj3LE3fUPMsNd9S9UlZ2zF3NZBUfEXFF1R8UoeeScFtCDynv5UecuAUnG5VXGEl1bejhZPCP+P6IFO3nZGEoWZDU3Dxtj4vnojpRR7DdMa3H+LAp5J8EKnKOubXdebkoEnTkFHi/OEfuLPP216/ytee7fCRe5o8tbfJcqdGS/p0fY2vBL4UBBLXwyktWmRxTRpTidT2ex4GP8e/sp7JM0lKCeQ56Ef7ZpP0z+KkqLImRtCPBcMzCZfGLZ577itj7d5bbqg293yZbzI86JsC/PSpM0GcJP/t6ImT9T+7V/Kz71vldRcJZid9un2fxLiLK9Oh9ELakUyBpSxDsoNaMx0qct1dXJD1V60sTSxlg76TJSbV3MZNw5IJfpbNkBGLnZgHn9Z86eEGn3tojIV2HVGp4DU8mhrGPNfJU/VIZQdUfZE+ZWo5TXW3Lwgy9s4ArmN8P6bih1gbcf8zAcfPVpmeFHjSpDq2MJ2V2S63n6aSoj/02LFBcOe1PT77WEg38uhHgopn8WPH4sPIlnYpleerEXJEpuQ7Z9aoYFy+vRoM+cDtfd5y/TJ/8Y0Odz9c48EXGiy0avSFT9/XaE+hhXAthFLiCZtKLYtClKThaPpw3a9X/J4poLPFZxEjAM9kS3nnVsI1xMj0H46soD2wjDf7vO7SFj9z1xpHT9XqYvcd/03Zk5cC/b8SwB96bB+tTpeXDoYsL0/z8x9u8K6bFvjf3rfG9FjAMPSwNmOQwqiTy44Rtl7P2mWgl9Ik2b+V0oKgkCUiY27hJIlIAa51gq8jKpWIwTBh/2k4dkbx8fvG+PJTTRZW6+BV0E2PmpI0PEtDG6qepepBxXPgrnhuJqGzmcrSU6R/blOQmxzkvufa0w6fMbx4NADPS7d5WyrRixEUlLfrJEn904kb53zFBUMu29pl3+ka/YqgFguCyDJUpKk9k7J3lk3JUpCFVsnz7Gkq0hiVTh/wGIQe1eqQH3j7kHfftMZXnu7y51+tcexMhX2na4RrAXGgGWidT/V1c2zca8bkuXShCP7PYfISwDNgO1A7HCQlkNvSf5Mv3DTNOIwSNk+2+QfvX+Sd12vieJZeO2TQOkQy+OY22lcF+Nm5UyIMBz99391/Pn3DxVV2zRiePar4yJfGufqCFn/vrjXa3Qpx4go8tpQhGNHU5wF49n75QpQvjRDFq8i6TTLWFiY95SEhCNwk1ThJmFuG+76uOXyqygNPVDm9WuXwmToEAaqmqWhFXVvq2rgsgucG51c8N67NgTh7yvSpUoCTau4U3F5C4Dn2dgsr5Ogi7D1Ww5Oj6cFcolD4wXMtmmVSTNrXGHtctqPPxbM9XjoS04s9GpFgqMGP3dgNVQK4lAIh5QiTZ0xZtkJkwWzWRxklHkPPp1kN+f63DnnjlW1Or7a5/0mfIycDvvJMjTPLFZK+h5GayFcIKd1OkXblu/ntmVwRI4S0PrOSgTdjbfJXm0/aKkS8Lab429Rz2wt51zsW+LvvGLL30IU8d2CChRUwh45Of+j73//TZ86e/JXNm7adN3x7VYB/9DMPIYi/e9Y7Ur/tOtdFffsNbf7ikRUee0Xy5tcnXLi9gzSSOFLpHJKiq72ssymBnPw1+0nl7Skr5Nh1zF2SIirBCxKixHLkpODFI4r7nqjx0lGfV45WaQ8DhmEAno9qegRKUFNQ04ZqKQ8c6MynkdlmnS88SGWJ7yt8X6YLwBba20tcZdFzOr/iR1gTMr8iGdoArSW+tOhSmm0dgecgT+xov2MYewg0M5MhUg3oRh49LVymIyoMY1qZkQqkzJLUAFlQj8AaWTB5aTCSl6h8/ERv6LNxImT7hojrLhzSD/v83aMtXjrmc9/jFV48WuHIiQpRrCBQWKlASBJZqgbl9P0qWmVUt5JHIfkU1BTMI+VQA5FBEbNr54BbLu9x95MVPnufh4gTljqGiekT9bX5B7+776tf+R9i8N/4g89D0lF6uE/Ux+fZvcNS9XyajQ5+pce/+a0GP3os4Korhrz1dUNuv8YdO+JrS7XhLjJWgHFd1UVuW5YY/tyLIYT7ZYV0vhFSXR+Flt7AMfqxU5I/vTegFymee6XCoZMBS12fYeKD9kF5qKbCl4KqgpqyVBRunJlKjUfKsbbvCVf0KIPbk/ipLAl8CHzSrIkrmXva4HtxWhGNqFZCFlYT7nu0QasTMDEm0GkuPjN9ncciXxBUrsUlw6FiekrxtpsGfOWpPidadfqedDJFgxdbvCjLWac5dpm4dCHlWScy/xnG6tLPcED3E0WiFbGXjn2IPJdK9SLqfsQbr4i58dIh733TgAMnJc/v9eiHij+5r8bROQ+EpNfXJKHK7JtYnQF8XcooA/hIWTqNCa1BxCCMxaaAr9YSPN9NSLjzliFvvW7AVVcMmZo0/Iv/2uTzjyc0KjGVypAragO++vBh8e1vvVitnflEPL75/f99AFdSgGz85tL8mas+8uWAsablh9/V4uWjkj+6Z5ZTyz7RHDy+3/CJr0XMjEdYY7h295APvHlAkp4OPDNuuOaKIfWKu5lOqolzFHd2FbLhPK2e4PkXNMttSbUieWKvxxe+UWEQKQaR4uycjxGayHoY4YHWiECjpcRXgoq0VFJgB8oSKOs84DrN+eqCuf2sLzMHt0p7NEXO3r5n8P3MoJXk7O37EUqFfP1ZxWcfa6B87dJtI/r71Rk8y4UnSZbxUAwGHu++uc/nHmnzJ/eP0Y0r1FMd7mU6PMqKMjbvFhJC5gBzP0qWtH4J4CYdxKMdk3taEWuNjhMHdJWglBukP1GJufmSmJsuibBiyPtu7zGI3Di3z38j4Mm9PtVAsNRWPP+ST7snU5UkznuHcyZLnYf1iuGaqyOmxxPX+JIY3v/mAddcFGMNTI9bpsZBCckg0vy7H1ljz/aEl44E/NC3DRirwgtHKldNTV7zm0nCj/93MfjZ+TYbZxvNT3zm85c8c3JSRT2PlxcUP/VrMwwiSzcRoMEqw9DEzLcS5tdisAkHTiZ84etu9VljGZtIuOHKkEbVeYLP28JRXuZp1mGtq3jqRZ92SyG1dDNRrHbMJDRuLrAGqZFS4knhwCwtgTT40gHBV+CrYkafA7koGh60awTIGo/L4HYMn9pqvYzBk9IzJtAR1oacXvIJhxWCMYmflr1V6sobqWJmHT0U5fUC5JLEKMLIY6Kh2DYd4osB/TigHwuq2g3BzDwkWUFLybK9VeY/y/2MTDaaonpqTOryLKRRHCdp3UCl5x/FRHGCilwtQasEKWO2Tpt0xzBcun1AaPtIbWi1BE+9qFnrybSrKwN5DukRMsc6P3i9YrnxqoixcYtNXIatmub3jXWjKaJQM0jPUZodE/z0XTI9vnCC+eUas40Jtf+IuuTmW9/btKbTFnL0XM5zAB4Pl5g7u/YrL+4/dnsUhVy4QVFbMaz2Jd3QDWIcJNBPBJH13cUzCZiY2Ca0rAESkJb2quHsA4xqrfMBm9HtzQqByY5cIPWcClUEOVKmqawM1GnZWZIe3JrljUuvOu2kV6RH75GD27V1KfwU3L4mt5g6Bk9ZXBv8tDrqeRFBEHFyyfDHX6mD9vGkKALMXJ6Icxi8nB/OhoQ6sLnBOmHk8cG39fmLB/u8Mt+gm3jUYncorXMB2qITR2U1gXKwl1kXMykkSwav7GlyL4zWCi9x81K8FOhKFkUz5xtPvxYmHRyUoIVF2ITpmuHb3mBAJKnMBER2foY9937nyXKBNRoTi3QxunHYxigSo9JFqEliJ6XiWBPGmuHQY60bcHaxyuragLXlg7efPn3qV6xJ/pe/lMGfeOo+ENK/8aJD6GHICwcUzarTfFWdnsESQz8W9BNJ3yhCozBWY006WYrsFZJMm5Tv7AhrlwEui/fS4EVImbegKQGecGXlQDi3oCfd99kQT50yXG4k0pTmoJCezFZ01RcAl7lsCXybt7T5vikNzonxUvb2dYSUIcfnBIvtCkJrAsmIPMnL86UU2khGoWQ8KwJBN+Nvqjlkx8Y+++aG9BPNIIEgEXiJxYtTHR6TZ5aKy6hGOhWymM5N2rV5W2EhjQw6MSRKonR2fLlKzWoJUpl0pzBFajYFuch+NmZdKtfmQM8yYMXizs3O7rWcabMynb/idrNsilYUa6JIM4x0emCW52IAC0fOhDz8yhm+rf15PzHn1nvOAfhn7z+KtZJLNi3xwhFFb1inFsjCVz0EFaVtYLHBSwSDbNKUlGlXjruNRfrHnp+8U2CL3JLpEJEdIehyrimohctMaGlzj0f2df5eSvaFFZS8wdZXwoF9BNzSvfoZ0LPgMwV31v2jTS5RPO30qe9HxETc/UiV+cUq3pjCL3s4yhkU1inSkgbPB+uUij6DoZtg+85bujzywoB2XKGnNdXYEKbldCULQ1RmOBPCUHQOZYGmyNOSLnWYzlSxkCj3M7URxEqgE5meYue8PHEK9KKYZvICm5SmVHgzI0W4IrVbypGdcwHK9owC5KZcoEoUUaIIQ49h6E6C6/Y9ekM3G75Wibn6kj7VUxGbx4+QmHNBNgLwRx75KtVa5Q333//I9c+/vIFAJIxNOXCGkfulETYfIZClLLWwREIQWUGcpb+yQg+vLkyy3HDWjK+yV2HR4FJtqbdFiWy+SaFxVQZs6c6Tz0YhlIGdz0FRuH7E8wE8Czgz3a0zWWJTvT3qJfe9CN8LmWsZnjlUBe2jU3miSwalrNon1iHc3dCS6y5v5ZN5TjyKPK69aMjUeJ/Wao1erKgp8GL3u6jEDU5SURngOJDnP0iuc2qKtG/SWS2MMiRG4BlBoiSJMiRKEKcgL5vXMjuEzECegbo0IUtQqmbnQE8Bfb5qbsme4dKaDuCubyAFeDqldhA6cLe6Hu2em+QFCt+bZdsUHDo1c/2VV7/+DV+7/80P33nHO88P8OV2hOzybVPj5prr9yT0hn5+RmK3b5AyIkrc4Z8qlQTWWgQCJSxe1paUVq1K/H1+cJMxXDEYp2Dv1AchOMfCqeUo8DOrp2suzjpVnCxRefdKAeys+daxd6q5NbnezlKCjrELcHu5OzFCEPHFbwQ88lIDGWh8Kdz87dxBWLTRFY6/9dXMdDRazuLp1mwU/YHHTZf3edcbO/zOFxuESUA3kVQSyzCd66jLO4YwqZwz6xbUqzE5GC3zVsIM3ImSKGUco0uZjpYwJSty4QESsuTmXMfe2UEDbpMuIeA8cqX4fKPj4pJ0BmI257A/VKx2NCstQafvnJaDoWW1NWTP7sE1Fa//bcLGD5+XwY+fOEkQNN/28kuf/77t06+gpxWLq3XaPU1vIGn3FAjL0lri+uxScOrMl21B21F2OjfRz2iPXwruMovnvZUUds3M8CNKLO6OIMm+J2Vw8jasERZPu2E8NQpuN05hHXOnPZt+2t7m6azhIC49I0Ii/vz+JokNUHn1shxgFn2NWWZjRIOzrl3PSDcdKsmCTY3A4wN39Pjo3UPWTEQ/qdBPBF5MzuJSWmQsctOZSxeu16KylJoUI06+RKdDl1QKcu1szjqR6Xg952B01eNiOlkuVUbcnYWNOesZze5vAYBXe5R2mRTwxfHqDgsAKy04NR/T6cX0Q0u3bzmzYjjTneOKq1vf9553vOuBleVTX5mc2joK8GatR70mLppb6ux68eUl3n+7ZLwZstKqMQwViYEwSbjvGYFA5R81YyhFVqiyryq515tzRoCdl+ZHA7Rci6/TnFkWoTzbQylRaPHUcTcy7CYFtlaiyKTk6UDXce8ak23K3EWAqUvsHXghzxySHDxTwSoPJSW+NOj1Po2SAF+fRcmexpb6VW1R9HHbs8euzRGXXdjlsQNVIuXTjwUVCV5i0bHbOZVIu3DiVIcjnVwY+ZGixOKiJI2yzposu+L8LtnsSJVKvwLcmRfIumPDcwYn3z0y9s4tFiWAn6/oNQL/kep3SqLK0Ki642UefrHKy8c8rLEMIljoCoyOeMMFS3iitevk3OCi4TD8yjkMvrLcY9A3xAOPE2emQJ5ky7QbghMnknplyPGVhAPLG9lQ96h7JpcQ5912xLkfv4jtR0Geb+WMbusq93wXabeMzZUQrnteFOB2QabIu8V1Dm45AvDy8B/XbU8O7LxamTN3gq9dYcd1BUVYIj55f43l5Soi0C7vXl6E6z0o5RVe9kabUVYdyU0bRRRppicl77+zwzOHmgyTCj3lU02cFs/srEqSgjvbK0yaEy9VDZG57i2GMdnSAitP8pUok+1INv/aAVmOaHGR/t4O1DL36I+CvOQjz++9LS7ISDpx3bIUoLSzJU+OLXO60+TJ47M0A0lkBMu9iN2zXXZuqNPteKytrhCFg/xfyAH+J5/6HFIqllaXqVZ7vHg4YevMGtVKnzCB547AV56ZIBFefs6OO4exYN50oxlh6XMYvATkc17LgC4DPZ+8VDTFlmcO5gDPWTyTKxKlRwHu63QAkJcdHZhWOLXFy0vxJv06GXlq5Tp3XjkOn7i3wVD6KKnS6uXoQlxfwVx/OfLEacbipWyKSRk8TjRBonn/Wwf84Zd7vHCkSqQ8elLiJybNHglkYkvXx7r2MlGOfkz6s0bPLSozeZKemZSN+NBJNlbCOCmU9226HUNkjcoC4nN0OKOvFN/nWBDn7vHr/9zt8C54lTLBWsk7rl/hzErMvoNNEiNpqAFX7V4D6bOy8ARPPXoEbDIKcBudAb2p9u9//bcvOHRsmaX2GC8dDTl4osWjL1Vo9T2OL9SYWxmnVi/ccqqkkcspsfIHFuf5BUZX9rn6e/1rNqmqPEcvkyeyxNhZkJlNbdI6O+Q11d5qHbiz8r2XNSYbNzMkbxHLejrj9BmhvJCDpzWd0AelU3li19lj1y/cUYSPDjRalwtPu3GKwo+m7gku2TLghYMhiQnoG59K4jzbOtXgSriDXF1hKWNLQxZkFkyeFVWKgUs6H2zq3lMGEukAr9LTKaQpJgRk07WSrLt/XQuhK2NYB868iHv+oHOEGEVBglnwijAY6Xa1QVjhvbfGvOGqJU4vLtLuCx57RXLnNRANm4SRh65vveD13/bjtRfe9NO9qy7d6AD+0v7TaH/lrTdeM/ZzWxs9Ltk55KvPDvmlP5pluV9Hah/tezQagqa2VLOxAxmTlosa5V/knFW5PsB09ZwyEIp/S4wweBFklodqZiCn8EirEqjzr9MijyLNhTtwOwAXQ4G8sjwps7dK+zr9kJWO4T9/usFyv4IIPCdPpB3ZVYrBOa/uyMiBjrPNurRrmcFdRiWONc2a5ie/o8PXnmmyPPQJpaYvJX7aQ1mMfEgZPHP8pLo4s9FaTApuU3J8Fk0HOh3KkwXpGdiVFCmDO0mU5NmTFODZGOb1IM9lCqWgswB4saOX/8x90qLXNgvQ3b+1sgZjFZ9NFw3x/JAbrhjw7/5wiq88OsvFmwQf+Paxn+ucfOFhkQz+ImfwBx5/ESEr9NsHGHYXOboCn3hwip5o0hjzqWicI08Z19KUzprO8tGiFFiNrsqSJCl9nb1mvYqF/hYFe5fYsCxNsg6ZHNhSIFUxfkyVQK2lRKeSROcAzzS3yYNKT5sc3J7O/Bej7O2pCN8P+fj9Hi8froL0kFISZNZYUdzk/Fqkd+xV3YQlNs9PqijJlNjItETtccWuHu95Y5s//HIFowP60ieQIi/6KCmI8oDuXCYXZSYvZSrKnhijQFm3KxgrHLiz+2wgyeeniALgpfni7vdPf66kJDNKoD4fEZYAP9JUbi3SmOLapHPVw8in06vgeTEVf8B33hoTm0W6PUsS7qO1GNMfDAuJsm3ap1nX3P9YjT/+wjj9xCMxmk0NCJQpqoV5QGfTgY2l8QIjH35dIJmDOjPmWyTFjV/vuisCywzwIpclfznAZQHwvNCTAdy6OdmpFPFUkS3xSsOBCs3t2NvTbmrVasvw+a83WGoFUEmzJ6IUjL2KRCHziOToLkuVdWm7LGVoJCbJsimaiabi79ze43OPDFjuBoRK009kKhdFmr0RRTO2zHaPQofn3VcWTM7mWY+kQGeZFZV+LdPvJSSqmHVTBrmQotR9n92v8+jwci9ntsuUAD6ys5cbyoVwx9koN089zI9gyfpwa2ybjvnZ7zCsrAmWhg1OLk4gbArw+bP7GRub2PnSi0/9lE6WuHp7QKsHw9g4B2CuiQqtLEe2pOw52tUxIknWBZSIc4dmliVJDuqUyZUgn5uXd5SXZn+XO1zccHdGwZ2dbJAxtyox9zkMno2bKEZOaOUql0ePCQ4cr2AIEFLnzbmFe3BUYhVZjWK1l70oBZOLkjwReSYjbzdLNFjNnh0huzYNWN5XxSa+Y/HEyRRdyuIUwZ0YYUznD5Kl9rCUzW2RJzeymBtZjm2UcffdSFLtnd2XgoyyQfpZx09RuhelBW/zXa24NnZErhQGtRLQE5fBEbKUa08zMIlxI/CW1gQnlta45IrqT73uujc+98Irh4/pJIkIw/7GMIre1u+tsHVDnWA1pD+0RHHRIEopOyLWse+ILDmPTBkNLgtWK6cGR0AuR3W4zJl7FNj5qyIdBVzOg5ef6ZHWqgzuEsjT8+q91BqasbdKv9c6QqmIux9rcHCpCn4hT7xS6nJkwZYk2DfT4OacgDOraI5q8TDUXDgd8s6bejz5Sg2MR5w4Le4laXU3GZVKBXOWU3EpyK0tSZSSXJHp1zLdVWT2dNc+kdnunbK6yXZYmxNTEXSKEouTHngl1oGZVGOX2b3AS3FIVhGsZ+s12/WiRNIbKBZWJHOLi+yR0duGYbgxsckx3R8ohFRu7HEEiTG5uSpOj/ZLrM3Hqp2v7r6euUffE68K8jLzl7X2CIunNtD1wM7ZXIlSE24J3KmUKo7t4Fxg62JAUD7iTZsU5LGTJyqiWgt5bL/iL75epz/woabRUuCJUWmy/vOPBk7nATjr9Pe6lGE5Lx7FmrGG5r23DfjyIz2e2O9j6x79JMAX5AtNrWM/p28zcBcgL3dUueAzXWDKsXkinR43JdbOgnqTBpfSiNLJEKIU6BbJg+xrR4bu5xckIM7JsJTl3LkVUFGSdsUpblHsnlIJtHazXhqBgRj0ciehbxKWezGrvZAk9gkChe+5tFOcnoCWDS8vb6+v9lgP5nPeO0eijE40LYJLkYMmn5enSqc3KJF6UwpwFyDPbLMWrYsRyjo9hEmrUaB7OVu7p1IuwPT9kChM+PKjNV45UQPPQ0iVgirzy9jRG1vW4Jx7LSizduq6tKVKpim56kwpXRiGmku3x7z9li7PH6syjH0S6dE3Cj9h3WfJcuGsY3D3atd9FlS22AxGCVQ27kMKrAJpCz2e76gSpCnNMjTFrpGPfRMgzPrde/3OLtLXkoGpfL0ogmIoKq9xejRhGLvFWQ0ME2MDakGXQPeIvS76L/7ibpRSrLU6JEmT2UnfnUacTjaNYkMUF4dEjQ5XPLcsX6y6dZr8mzF3mbWzwHIkwCxOICikSSlVmDN2EQTrEsjL88EdY9ucqXX+WnztpcGlVhGBH/LSccFXHqnR6/tQ95Aicw5SSg+ep4pZjk3KDERW101toyOD5NcVfEoGrDDyaDRC3n7zkM89OOD5IwFon4GR+KkWVwZUUspECBBJuvULkQ4AzMBeANtat/Pl0kU6Ns92lSzIN9aBXZqi0CZMkU3J76UpmH198uB8WbZR7GQ4FyOV3+L6pMM603M3ByFEkYuxppo1zhx7keX5Y5gkQd94yTxCCKIoZjC0GBvT6ngsriraPYEMXTUrzhtkz2Xy8zG6KO5naYWWg83RX7xY9eXjNNYzuNPb5WqmUqnDMHUUunau9Gtdng++Dtzp08um0KYGf61i99QRnhcR24QvPlzloZeqUNEgXUOzJwoL74g1tvwsf3Oex0gTOZmdtWhGTmw216QA+nDg8aYrerzzDT1ePl4hjj2sUPSFxkvIP5NIChYvPsL5mbxMWEqlKUPp2Nx9L5BG5Do8z/dnjJ7ttimDF+y97h6XAsiRXR23AM+9UCJvBjMlcOcnYccwCKHTS1hai2n13LGKnt9G6wHWGvTTh4fpPxSiZYfLthuq/jitbhNPZ2fMC5ePNNY53nLGKTkHs+v3KlIFxPkBXmrrKp8sMALsEalSLtOXnumJBQXQS09dHIKaAdorgTrLnLiMiXtVKsL3Ip47JvnE/Q3AB+khhMq7iFRatl5ffS1uosj3slGAUfJBjzJTrsGtwCSudc9NoVV5+d5azQfu6HPfowOeOuwmCURG0UtEavhKQZekrL3OB1TWAdZax+JloDtiTxehxcj0PJ8sKM60t0zZXLjXfMfNJEk+ai+77+c55EoUV+kcAigt+ixGyQ5TcPPESc8jMsyvRaD67Noes2EioBZoZzl4+bCPlNAfKNodwdGTfbZOZV05Lp8shEQlro/PSFDZIUKmGMtlSzftnO1nJKAop9FGAZGfjiaEuzCZtsuYI8+olECetqYVh03ZFOzZAPwC3COsXXrNGmszqaJUjOfFREnMA09UefFQFTwPpAsufWFLk2PLgdVoqnOUvEehZUtf5BbjdRN482AzkRiVZlQSzTD0uHzXgDfd4Fi8nzgWHwqfgQGdiCLwS7J0YdqdkpSZ0qa61p6zI1sJVlmkFSiLq35agbACK0BaUUiVUuZrRHuLTL6UAD8SnwnKEqVsRivvcPnCL5nCsuPfAepVxdW7NVs3SLbPaKRycRJY9J3XS6QUDAaGuQXBmflxTsxJZibc6VxaOQY10iKT7Ljt9KxDCbKkw8tSZVSilIA+EmCOZkxGz4hZ5z8R5Gfv5KcXZ823Iw0PxdElSq0Dd2kofp49UQlKlwCeShRfRxw8K/jIlxsMIw9qXipPyFvTVPmU4HLmZCToeBWJYkeBXpYp5cMBjD2fFtfUA8mH3t7jiw/V2X/aLb7EKHqJci7DJC3+IJz+TtJy97qdJNt/y/dP2kKLy1SjS2Ox0t0jK4UDuBFFrJQxuSkyYucU7/JC37qgc/2lKS208kzx8knJ2WnJAIEn2TAVIIzksRf7DBIfodysEv3ut3/Phoee2vtPPvPZBxkMEzaNKTZOqLyNS+D+8dik4EsgEYWXuKwjz/c474odyZaI0e9zkBdsvd5kJUveD5WzdwnYMgsuR8GdzfYr9Hb6tTSF9k6Dy9DGfOb+Os8drLp2H6FRwlUuderBLvtwyjKF0k39po8RDV4+XzRr3TIO2CMglxijCQce117c5zvu6PIbH/PpGw1GEwlJ37gYQZpUgyeZTBCwLrNicz3iAl6s+72scruKsmDT3Le1BfgzcEubkpEd3cUyyVKWbkasx8M3SaHaEsBHToLIDq5yiQ/HJe4Y8I3Thluu7pCYAf74W/5JpXn5j+mX9h0dH3Y779jcUNhmhfG6ZLKpqPgOSNa6I5pVDFEGxkSQCItYd/jQfw/AxflAnWvwdKsrA2fEB25HtHcO9JIkUSXtrfKTHkoHUSm7TpJkTsEkB7enIw6ckfzZ12q4+SuOvfPO/ZLJrDxeWJZvHJR2qtI3uSxZp3tN2RtSzBV0GjQFtpWYRJGoVIsnmu+6s8dnH6ix95QHMsQKySDx0GRWiuyepTcoyQo/GX+XpJN131tsgfmc0VOWtk62ZCCW1v0Ma9L8uHHyxpwvewKj5rrSRrdu3ZcCy+Jcn9hAkhji2BInxg0LsqDChChSgMdwOMMwjNgi+u+w4ti4PnJmyMrqgE2zA6660KPTF4i05SlJXLQaRoKhEGkvQxGFi7+MwdcFF8C5sqSsY+Xo1yMsLmwpuCx9nTO2zVlcrQO3Tv0LOh09rHXqZ8jy3SpGyRiVMniiYr7wcJ29BwvtLYV0ue+8g+ZchipXMEeKGetUih35erQBeSQnXppIpY1w3hRZlPDDSHPpRUPe/YYuh/8sIEwUCE0iNH0h0EmaviMLdLOMSilNiC1C4BRZefLAut4tK0tsnj2FLUr8AidhrcCIIoVYjrEy9s5z4uvY/NUYfFSeWOLYEkWGME6I0pOdjQFBzNyyoNsX7N6+xmWXrTDZ9NG7tkJnDAbjERfvWGU4zGZPKAahoj9U9AdyXUSbjjxO0gS8OA/AU0ajBO58+2ZdIaD8KtcDvGDt7HslyQ34ShbMnQNdlZm80N0qCyJlSZrIYmi+UgmeF3HkrOK/fqbJQHpkE7SKrvnMRWnzzzNyw0ZyX99EnWSkUMpGZS1sRcm+rMHFiD8lMZo48QiSmP/lri6ffqDG4TPazfQwmkh49IVAZfIkN7jZUoBUZvJ0sQE6W3Dpe9KmEgWbsnaWEzcjbG7Tn2Ok+29Gdub1iYURAvzm1yjT20ni0oBhbBiEhsHQ0g8tgxD6IfRC6McwSCps3lljwyBAt7oJp5cSvvZYwlWn27znlpiZyQqdXp2VdgXd8bFWEyWKKGaEfUltldjz3NeRQELkKzVzuZ2PAcvAFutYO29ATlnbgd4UEkWOMrgeyW9nOjtj8mT0KR2LezqkHRp+53NNTi8EoHSaGpSpPLEjee/8a0ZZqfx7j1Qwz3cTKUmVvPGg3KOZbdUyf+bNEFKRxJotM0N+9D0dfukjPq3ITT2yVjI0yqUNk8z340ipSBsWIC/+3/2JShFmLTlzq6yymQWg0hYMbkv3zjq9Xdbe5zpGR/PhI5mU87F4ic3jxHXTd/qWVt+y3JWsDi2NRo+7bm9z4QbL5ExErW7QSVwl7NeYP9vkowea3PN0h//9/UvceuUA35tAS4gSSbevcr14rgQZeev8ee/1EfWrMHduns80bmlKaxFc2rzxNct/50yuTcroBaCdHBkFvEqHTGavWkXoIOJTXwz48CebDI3n5IlQuTzJm4rXpcRGdHcea4jRC/UqDJXhqkgVlkGflewtxpi8upmX8I07CryiY378fV0OHPf5/S84LQ6KREgGxvVuyiT7XGUDVnazilpGOV3pQJ1KlQzU1i3yDHTZPRLZ7l66NjavZFpsGdCl3Pg5Mtae7xrZkctorDvufKUDcx3FfCfmtmuW+Znv7LF5osGx03WMrqNFBX3xti5Nf8iZSxVHzgr2nprgl/9YoD90ljdds0ScGJbWPIaxRxQ7XZ41yxarr2Do/L3/EXCXgb1OdxdBZnpEd/nIQFUc/OpYOnsvA3GJyWXhDhx9jdO8d8TKKnz6azVWhxm4HcA9WUzWKsuTkV0nS5eVbsR5WaksT7Kv0z8YcfWVD8ktdfrkPnEpUUZhjCZONGN+wl1v7vHZh2ssdxTICIwiwunxvNtHlNOF/KVM7upARVEo86conOZGZsdHphKlxOjrMyjZzyeXM0XigZEcuTiHEqQEjcB6Ej92k7mW+nB2NeL26xf5x983oKI28uLBMV46bGnMJDTGQnSzPqRXj5hoKnbgMTMes+9kwH1PSYJan688WkfEMVXPtTmJ0g1bX3IfLeScH+jrgZEVAMpzT3JfR9njkQeW5QaD0aAyG07jpjLZVHoUAWbB3BlrF+zt1WK++PUKT7xYxZS0t2tqyOTJqN8kN/aXd64RPV5Kg5+XxFP2LKUKy8dgl5shRgbiWImyRV48Tjy0ibnxipB3vb7HH9/tgwpBSKwQDI1GCeEmh2WBZlbhHPmARdUuDzKzHoksfVgKQGU6D0dKN+OlYG4HdCFcRiW737aEhzK7l7NqDld2Xbzm3tfp4NRG1ePCrQNu8Ra5/8mIt93QoTuc5ekDE7R7mtV2H2oJVifozzxUodPqs7Ji2b5JMT1u+L53tXnumOHf/N4mDp4c4/LNgku2RdSrbgJr5uhbD1pKNx8xCvRzMg3SjmZNBLmZvRxcFicYl47pLoFbSotOR4xJaQtwl7IlWTFHqSTV4inIpcueBF7E4ROSj3yxwVzHd+ddSzfoXQmKExvOs/ucT1eKMp6/iQAfKfRQ1pyjJ9LlJ0SPdN2783Pcqzv+ZEM94Qfe1eXhFwMOz0sQEaAwSAZClg6RciAaDTRLILcFk2dSKdPhUrrDqKy1rtqZAl7ILLOSZlJSGWJzoNtRiTRy3dKqa4nhTVroyy5mNtzJ96BRg0t3Ci69MOJNV3X46D0BH797gos2JEyMweyk4I4bIjZuGCCbVUWzqhhvCnZuDnn95atUgi73PDnJ/uNTbJ3wqFdgGBrCyBDHbva3sxEU0kSM5KcpDhQdeZazHOt9JDb3cJdz2dlR07oUPI6kAqUZCSwd8JO8rSkv6OTAjlEyQadpQd+PGCaG3/p4nYeeqbreNqmd9pbSde2IYv5K3kyQLcb1kmwdk5ehI9aBe7SCWWQtznEWlv0p6VxBm9tpC49KHGvedF3Ij32gTaAjiCOwkRttbSx9CwMjiPKnK+DFpdJ3nIg030z+6gor5WKLHfmzvG/AQGxsOpo5/TtpQSZJXJqvXKRZ/8zfT3cQk14kmaoCx+DunKTuwOP0wgwXbW7ylusNvXjA4wcTTs2HtDoJ7a6m1fXRO2Z8woZCTg/Ytb3LXGuNX/tUjYefn2bTOEzUEgLt7l75ZmR3az0L58HiiL62I+xXdOzYc9l7JMjMZEl6JJ9aJ0+yUw5ScGcTUEeCS1mSJemM6zy4lDGeH3P/Ux6ffajGMPSgqnPtnbN3HtieW7lcn/4q62/3PH/T8YjngpI1NNW5WQbFqiw9O+oVT4xEGidVMqDHsaZai7nrTX3ufajPfU8plzZEgpBEQtNPwQIgrEhHO5Q0uMxyLOXvSVOEKZNL970VoNLfL/vcMq2XWGkLPV7GQ8boIxK1YHakA7RB5AWmMomKFIdhKGl1Anw9zhuuMPyjD83xa59MeOFUk5WOZfsFAUPTQHfiiPYgZGWpzQMHYj738DSdbo1t45KpuqFZdefXaFXYWbMgoAzq0eE8JQCve1+IEgueB9gii8plKWORzyK0RZA5khrMgGxKzF0CemmYe669pZsSu9a1fPHhGvvPVpw0Ec4SKzLtLShNkLLngDv/ndbFJN9EeI/ivFRIGLHPlqXKusLPer+4lAppEqTRREPN7o0R73pjlyf2+rTCtPxqnB4PUWTnQIyC+1y5YnHFnfyzpmX+XD7JtGwvwYp0jlZ6b02q0a0sAOx0eJZVSeXLunoImXdGpgErRdtkZiWOE0E/VOiuB9SIE8n1uzr8l7+/zGcf6XH4RIWxZodapYI+vSA4uyC57+Ema11NTcPGKagHpnSsnpvxp9Rot03ZQXaud2R07FoG7NH3Rosl60cR5GfQr/te5/q76K5WyowEmXlAKZOR1wzcno4xJPzR3VU+/JkGVmiX9x5h72KE82hq8FyglwPvQry9CsbXmdPOzYWLEpOf28pmsrK9MZhEpoNx3KkMUeIhleHH39vj0BmPD39WE8UFyA2CoZAokw2SsDmoyho8RbTLkqR/S4sC6LmUyhg+fS8LJmUK4gzo2SLIMGCFcIuhFIxKR92Qec0pwJ+19bnKOkgh0/qMoD/UtDoVGrUh77sl4sxuy9g0NJoCPdE0hAPLdNPS1IKNE27cQmZTzae0apl2rGdnpa9z9pXBXWLlVwX2yCIojR7LR4NlhZ3SNFMxytyyDG61Xp6Mnlmv0rNnnAaP8PyIQ3OSzz5Qp9v1oKrOZe/c811KYYqiwJNnhzj363Id4C9n8BLoc7CfO07Ypk0HOdBlcSKCkYokMUipiaKERj3mvbf1+PI3qhw6m94sp2ZJhKCfFu9d+TwFty3AbsFVe0yJ2WU6ZDWTJFIUCzN/zzF2ljEZAbq06fujQJf5zlCSSNKmCE93gATijExit7iiRNIfSqTUKOnjqRobp/ustltEOmZoYnSjpulWNTumfaabFbQWRLEljCxJatDJeiHL06LKHTUjU53Wa2lRSBSxPkATo2DP/iwb5qhKrF0u7IzOqy7p79JxG7IkS6RMMyYpk2sdM4wM9z5e52vPpm5B6TmAr2PvPIMjxKi0Ivv8oxmBDOHiL0P2KKGPAr3E8Mak1cMsk5IeReJ0tylkipEkQqISiRGKaKh58zUhb76xz8kveQyN0+GpE4oYzUDgHIepIHEJa1e9sWZUk2fzhG1apncF7JTdM91NljWxqcZeB/Q8w2LTvLjIF0DG/sUvL7DS2QqSrFE5EflnSJRARu77OHGND3FsOXyqRr0Cu6caoOvod926ee3s6f6X90zz7VqtMAg9jp1pML+sGYQuQgab90NmY72UKnohM9PTuUFiKYAssXkB5uLvlufbncPaOdDNOuYuhrKv19vldGBWipfSdepIP+bBp3x++Q/GSKwuMidSIYTMj0zJmHqUwcvxw/nZ+7+jiFkgu3xPR2SKHZErhqxlMDVjCVHIFFMwemIUwmji2OD7Cf/oB9vsP6V58EmJ8UVKy+4XiIyinwoqkWunlMmVKLpZ8l/E5kCW0vV/OtbNNHUK6HQBGIpREplPRaZ/z7F32lMgirSjEekuUVweBJY4LmSTsSDT+ZqubG9YXI04Nh/SC6Hq+9wRTH358ksvXlO1mbHuCwfnDs+thT/W662m6cAqNh0861ZWBux106IyBs8bD2zpvfMZo1LJoUZf8/x2yUCl1rsDVRFQ5qnGctYkZ/BMjhSvRUHH9VqeWhH88kfGePjZujuUR7p2NKSHloKqhECSHnI12lx87jNtgM6H5IwOI1Jpu5dU6xqmS7q++F6UFv2oJWBkTFp5+M16qVf+MwvTUzGBtjzxgs9aX67bamQ+RVyUgJ4XXNavzmw09vmco6WFUJT9ix0ptyOMrG9R/Hn2dfbfZdwgOOebTP/HiUtfD4YJkTEE1Zjp6QFXXixp+Kd+YGHumf362b01EAKbeFRkwLZZxcXbBNPjMWcWVW6kymRJBu6sVUyWumnWl9fFetaT617LzDhyLMaoNCmql6ZU8DGj2RNZzqSUA8vUCpt+nfgJH/ncGH/x9Tq2okAoh06hEVKO9Fvqc9j71dODI2dhnnvPz8mB23XflwHhvh7ttl/f4WNSo5tNmdtaU3hUhEQaRSI0sp9w1+19Xjni8Su/qwmDeCRRb43HMPPOZGI6a2sThT88+z0saXUzkzDZf5axdho4WlkEnFlaUGDz98rZlPKPlqXsjLPrli+QASXde2kQlBhYbhm0Ely+vcamaY/ZKUWlolxP5g++M206NhG+7OP7hqVOxP1P+5ioSaOq8bTIE+3ZnL+8g12WJcS5eey8FC9GmWcE4NkIXlkAvWAxO2KuksqMaPDimZSAXgZ3gsw9Jwn3PRnwB1+qM0jSKfgiSw2mVUthR7T3SPPFyJSmkiwpg57R179Mq9g0uMtyz+dUNLHnWGitLKUKZSmzIpQrlMjUnCUNidEEnuEH39nl0ed97nvWpQuz3DhSYKxmmIjcM54bsGQG7kyXlGy0IvWKi1GQy/SftsamAWQp713yoLjKZlqxzBaGJO31zKqko0Uw91GyVLLAVzCzwbBl0yr3Pa05+ESAloKZSUU18DDGomERJQXdMOZMJ+TkouCB52oMOprdmxOqvsT3dN6xnk2KyuRIeTD6ucHlaM/iKEBGp5IWBxoxCm5RnCagztHh52HxkaJOUgSYOqI3hF/4vTGOnA6wujgteUR7ZxIpAzXrmJtzQVyKLQsg51vrqwvycpowZ/aSHjfn1ePnMWXJ1HEoyyyuEIlBCI0MDRduifinP9zi0X8Y0Bmkv4yR+edKpDuLkyyDYUmP+snADpgU1DYFMa7v06ZpvnTUYZ7ftqIIJoUopf1kUcIXpb/j4tvU32JKdtxsdosCK9zpFRqLVoKxhmD3DsXlF67xwPOCY3Me2AaxCUAa9KmV3dSrihcPdvnyI0s0Ku5o7O3TknrFpQVzYKeztbPBOoVWLgM2A/JoIDnC5JADusiolJg8Z09TgDzNc2eHLalXzZqUTudNc95aR8QJ/JdPNXh2X8XlvGXG3EXmxBOjskStW5Qjvpl1zO3eyHwW4lX5+hwmL2dO8q+zIxiL8RwmN2GNpg5NlmERmXRJc+MifSapVDGGa/dE/OR3tvi1j48TJinVQh4VJiiGphR0SvCyFCI2ZWYH6vyjC3dAry2xuSmzdW6bzSqZ6SJdtxPmBSKR9Xda1/6mcBMclMyvnsSSKEtkBJ2e4uTZcabGK7z1WjfD/ejCFAutCTc89eY33EWzUac29hJzp79EvRYgsGjlDkitBJIg9R/5+eiz8nnpWQ67AOoIqLGlPrzzB0PFqz1He68/n3GEvVM5IsuyZOSZBpaVhK8+HvD7n2rQ6nsuB5jmvBEKIUSaOSmqlkUGaFSHF6PZzjODcCQsE/n3Yj2g17H2OXgfAXox2s3KdcC2MvVs2NEikHBpxEQqpDXOrxIrmhXDj7yvx9MvB9z7mIJaXCAy1bWxkQzIYgqbVVkKLS6ytGXat5lLEuGKPdItm2wXEtmJfJn5quRglELkrD6ys9siBZukLkZjTXoSxbod0kp6Q4/Ti577N+yAW269lbfsuoJBv4veMquoVDSXXgCt6yMS49PpaTp9t7rdme4Uw+JLxqeiGaE8zbT0Spn9zv07ZWAXTG6+Ccgt7ji75FzmVg7osuQSlDJG6ph9xzT/9RNNDi37TmeJkvZOHYNeOuskz2ycL6hklLmz6zw6pnhd9L/+IUqsXQb5Ot1duAxTHT6izUtB50jxJ00bStfeJjKpIqyTKpFl12TM//L+DsfmNAdPC6wuCywB0iNJQc46kGfyRRmK90Setk6BXzD2SICZnJ+1C5lXCtiT0VjOxRk2bz621qS1AEsUG+hAb2DoDhLWugM27BJMb/FodTS6Xomo1mMQPfadXGTTdMTmmXHmVwLXTZ8CuszeWQd7YXk9D8BHgHC+90tyJAN4CdQuH25K740eKb2+mJOxedbYIGWMH8TMtQS/8LtNPnt/Deupohz/TdhblT7XuZmTdUFk6XvK743o8FHAj7D2OrAzAvYC9Izo8MybUmRSrEwLQGkHkExZ3EkVhRHpWDPpsiqtoeTnflUxvyYgyFMbrsCCJraSgXkVkGcSRbgxy9IUXT4Z0PNiTwnomUfclK5PQRrl406KgUHZyGYp3ZlBzo0oSBJBnFhU5Abkz7cMmzd22bCxhVUxrb6kF4JeWPWZUbW5Y2drX5lbufBtK2sDvIt1nh0pD4rXI+xtzjmbpbjB64+MW8fmrDs0VBbBZXbuefmwUZUxtzIpg5tCZ6eVSikTpIrTr53XJMTwhUfqfPXJWuo1UTmwR9m7ODW4PG/wvGaqErhlCdh59XIdc+cx5vlyx2UvShnQFDlja0Z91xlzy1SyZOX7xLgJZMZYJ1GEQcqSZ0VKROo4DLTlra8f8O5benz0y4owFqnRJNcOWCOIpRgFuchkSmrESr0jNkVvOdjMXYXlGIZ15MAo0IvrZUevvXCpySSdgRMrN5vcMy7QBMHMmODizT47t+xk2xb9lS2z/lyvq1C/9mv/mVtvvWVNSb22fTb53ro+y1rXx6KoVizVwFANDBXfEPjZEXtJKleKsQwO+CbNjZeqkLm2zlZkKVOy7mi60Va0LBVY5Lzl+Zi71BGf624dk0jD5x6q8m8+PMbRs0HaxFAUdJznRBBIqGQFnTS3n/vSS8Wp3JIgXEGm7KKUUqTvS/JjVcTokH43qUueY0oTcvT7UdfluZaHkdpBej1d14stTlVY1+kvSogSAjCWyWbCpRdFnFxQHDyhXfN4YenLV6vNdHLh/i8Zykqr+TzeBFtQW2HOShezodRIbLO5g+mrHT23c/QMT9dhn5GBVG50W70qOHgiptq8mKmJ8f/9+LGDj998062uXDk7sUS14rOwsMYrJ4bU/DqbZ5yxvFaJqfjF6IUiT11i7RGKEiOdKuvZLFuhhaTJvjbrdLct6fEC2EVAmX1fADt79byEo0uS3/90nf2HAmioPFuSF3bSoo5fZm9KoMkABOfKk1KwmYVjiNGAcv39zn7v9VdrVKkI3DD6EruXsigyB8ho+V4K0tSgTbMUhSYXwuY6XIqsK18TDS17Loz5wfd2ePJFn2OLWRK7RKvpzhEjGKTVRpvKFJuaoaxwZ/ZkX+fFHlmU3DPHIMLN0lkfo5wzpbi8bigv7KLu4sWWwHPvN6owOSaZGBtgRJsDp3uYpHQIVXPyGmq1CtVagK9W2DChmRlPGK9H1KoxgZcVUVJ9nEXCaVSdBUNFd3g51SVK93X0WLki2MwKPYXelmUNnoFZjII7y6BImaCEkyZaJ6x0BL/x0SYPPFctXII5sAtp4gvX0FAElEWXTvnsz/OlBc8B/robw/m+Px/D2dKNzUxG5YJPCeROsjhw5TJFFOCnlD4UQpIIEMbJvixtKIRyy0gYkp7h9muH/P0Ptvm3vydZ7aefIxPOqTyxUhEbwUAwklUhzZpkGRSVWmclRQCa/VOZjM+vy/pFnP+exSLO/m7RR+r0uZLuxLwwdl1AUsQoqdg4NcZVl1zMjl1XEw77BcCNuoDJHRvubbz44C/fdFX8czW/T7OqqAQRlSDCU4nb9tbftFxDlk7ONZkJKLspYmQo0Pqg8xxw5xkV46qWwp6XubMKZcbcWUFnICy/9ZkGv/upBp2RamWhu4VwY4a9XHPb81pg11cvy0w96v8u3QghR+0Tf8mjXKYfNVyVPRyjbJ4BKivdyzzoBJEyt0z1r8FJI2MsiZBpYO2AQWJpeBE/9r4O88uK//TRJv2RjAopyC3/d3vvHS/JVZ75f8+p3On2jXPv5DwjzSjNKEcDCkSDdwXGxmad7cVeG6/XOHt3HcG/XcxiG9usARu8xgZshIQlhAQooZw1SqMZTdDkuTM3dqpwzv5xqqqr+95RwICA/Z3Pp6fD7e6pqn7qred93qSlbSx5nt3YzTo0w9tS6TD3VXsre7JwfP++Z/td7P+dPe4en94jmf02tqUpdTRzLcXkfMiJlouzc/ID17x+861J+1gX4KdvWsKHPvS+ppBy7+ycZsvKiKVjDUp+E9eJAPJhSKqgRS7MWc46L2VjT7p/z6xVrxPRjWAW5cKcfpwC3DIHdxatjJFWDI7i6V0u/3hribnIBtcCik6lZQBOBu5ijkkxJ2Zxp+iUjtIiqsnCn+TFQJ6pJL2X69zR1NlkhW4RcE8flUJOitRd4IuUoiilUmXCMuqKkAgkUljEkabiR7zzyga33Ofy2HMS4YWMAgAAQrJJREFUlWl72aDkXF2xiMleF72ptcL4Hnm6QXZTae73IrYx71ylBYlOx5JkPQi1yHm6Svc5wcyLMpxcIdH4NtQcyWkrBFvWSwL3+N4Pf+R3m7/087/fBTjA1Vf9MJbtc3DP10maX+GpF5qEKkJaigE/4vzNMWgz2UtpSW85VdZOTBInFnFiQWwOounGRE8Df5Fx7iJN6ePcXYqS8ezCY6sbhs84uO0onnje4T0fqLNjl2ckQVFUTazceruyq3t3pcFizslCaTAv8O6hJb31lmIRhL8cK14k5HqBxe7LTdEmDVVmnLdguWUa0TRhb9PLW6Q1nEJluR8pTcmsuNDQUZyxLuIjvzbDT/+RSPuhZ+CmEAiiF+TCnICOTK18BvziTmmznVL22mJjtdMqnbT4uZMI2gmEWhBpbZzN9EzQpjspWkUEos0Fm+epBCYVIUp8Jo+7lMvn8v2vv5RGsw30AXztqjKeX+b4kYh/uCXijsfGmGt5dGKNthr8wY/v511XzhNYDjqRZLMddZqEH0Y2nY6LFE6+B3HGxXp/wwKP71ITUQT4i4E7czhFgiVMQMd2Eua14K++UOaxpz0Sy0q9wKxKJ4taypya2EWncjHrXXA2F2QPZta7z7rT9/ilEF68ZC/UwQtWPTd5RaB358vLonyY6uDZMAGdRjaz9Nkc7BnQlUagsBPN2Zs7/NxbG/z6hxzmk3Tbs75ri4EcIA3tk4I8HaRsVKRMC88tee/+ZspJBu5GImjEmjiKTS6sjos7DSrBtTv80NXT/PaPatB1wshmvh1y431tvDJ09CCRaOb/Tw7wk7MeNe3t3n1w5Pnp6dVrz1we4tiCdgSPHnC563GX1180R6g0Oklj75kjoATDFUmtFjM3H5jmNFKmpVAUMtS6yklP8UMKbvGi4FZdzVt0rbftJDQT+MQXynzuq2U6GZilXVBOjB4nU3A7Ihveqk8dtVzEseynIqL3n56ADy+Tieu+x92c6cLUhYynQl5p3lVTeilL5mBmVEXkVMXQFJWm6WX0RZBa80TjCs21r23yzH6bT1xXoRFhDpgSvdZ8EZDr7Gomu3uVhfvT5ESKBr5IxZSGdiJoRJq41abiNhgbapP2lE6PCuhE0NEJF58ZMj0/xFO7xmmHNlIoTlsuWX/awPNLRrzdYSdaCPClS1fy9OPX33LpOaV/CBuDv33k4HHGh2wGqh1+tDrFqlWz3HKPz2e+XEHYaYZ/OslF6ITztra45vyQ05YJwsiBuOD59/2cqcKaym3GyxdFBaUAaNGjmGS3OC89mw/hEzeW+aOPVzk+7Rj3WhQcy0LEssexpL9Cpz+40FV8FtCTUzzOdq7o8b/k6nMosx+9eNyKvQLNbaHlFiq12CzyWlbqprLwuEZhdSPKSiKwiRPNkqGY3/qJOdCCv/3XCvNResCygE9eGCzQSOKMmCljRxZ2GRZm5nx6XLIswiwgmgE+1BAnHc7fcIJrzp/hgi0hIldSFEiNcDSfuTngf36yzrLxOhXHol6CgXLI8hXjJLWBf3h6/9dv+eFr37gQ4ABrljXxqt5N9zwYv+XMjZ2zEFMoQkYH59h10OKDnx5gxzNV8L00aGLnBurLj4fc9sAUf/Azs2xYCvMNy8yW0Zl70S8Rpjcy9aRPEswlQNXHt7t6t/Q013+txB9/rMrRDNyyP1pp9ciCttALGtjn3QE4hQSY0ZMC0LsnavH2Soj34tZc91CRTC7rzxPv5eSZkrEQ1KLPiutcGxc6vSkrf46yiDqa8XrCb/3kLCfnJP9wYwX8pKCoUAC5jUYSZVcwLQzlkVlbEZ2phd0LXcZ0UkFcIHA06Ehzzpo53v9zU2xbK7CdwEyPyP2uCKvUYdnQPL973GPfdAcxOE1rVnBs1mN0mXrs0Ky8ScWq55j2ANwffie/8Xu/fbdGPFS2orOe2htz8KRHJxlivmGz61gA9QDpBviWRclO59VICEObA8cluw7GrBxxabZd8+MULaM5CvkO9hY7LAzoSKFSfTvl3MWgjq/Yfcjm728sc+S4a/RuWbDeBXoiUs6d3bqyoM4B3TulQS8Eb2Z1cq4ten6wRaSTlwTzqV7sBsqyggdSnbuPmmTptHSlwxzUKo2eKoEiTeHtA7vh35puSMbsexxqxocT3vWGBvc+7vD8IRe8dB8LNKULcosIUitufAeR/tSGyXa1fXOsu92qkBrXgnlHsXmpZmJggOlZj3YkkcJ0RXDtCNcJKbUt1o02+b33THJyVtMJqxyahN2HJKtH5x5SyU13v/sn/8epAQ5Qqa5ECMHk4QiiBkurDls3NBkdnuRP/qnEnmMBA65F3dGUHY1na5NtKKFSdjl2bDnP7iNNzEryVsZYKo186h4L3psHrnpvluqC2ypYcVfx/GGb3/3IALc97IMvu1ZbdhWTLNyYO5ZZ9ZHoBnMW6/Fd5OPFFFlZAHnRahdzUPpPin4qU4zyFmVB6NKLDOW9wR7R9zyjKXSdygXFEV0Lbk4Amevnhpbo3HorlVKWVG1J2jGv2dbm994zy+98pMaeIxhlJZcIs3uR05UI00NcpMUKZuKDcW5zap4d+6z8Me1zM1QVjFeG2bkXaqXEpIM4CZ6T4LkRgWfjOppDJ2L+7HN1BktjnLmmDIli7XiJzRvWopTqh/NCgL/9+6/Gsqzw+us/z4C3j+VLYNumEMtTBIGDb9uMeAk1TxO4Gt+BwBUEnqBeNUrK4UnFYC0k8AQ4cZqHUfzp0x3Ngzxdyy2KllxkDmWc0xPbSdh33Oa//mWNz91aIhRpJQbFgE4X5EXHsmi9i5PR+osaFhQyFFYP514E2Kdc/SJw39MeRaWonBQs+YKIX36CpMAuRDZF0Yr3WHVjvXVRPhQ6dTw1ph2QseierXn761okCn7nLwbYPykMYjJ9PL/PHE9JJ7XaUhW6z2bGPzXrQmTNNDWeDYEHAxWJa3nsPyoZqsWU/YTAS/C9mMAzdDdwE+YaEXfvqCFUiSPHJOPDkvO3TbD+9DeGSRLTvxYAfHRkmHqt8r6xieWnTQzsvGLjshksZ473/0OFfUeqTFQVg4Gi4kHJM12vAl9QDixqZRvXFUSxoBNZ6bhsmTZPJ78E9ljwAh0xakrS51AWk6gS9h+3+PU/r/EvXykTyrT6WfTz7iximYL7FM17FmQNsjByuSjwEYvSF/PjyW+Ugvd5lgVQ9ygnRf6tc7lNFPRwUVRXUnCj+yhK+h8KZPfKWjgPhTBKnUPMO69qYVvwG382wP5Jl7SEx7w7kxHT7VZKEqZFD8XSM6XJ28BlxzGz4o4tcCxTIT81a6bItQNJ2bcIfIsoMgCXQrNyLORXfvgkf/h/Styz2+ES32Ld2iW3Dwwuf18Yzrw0wAcHqtzwpS/N1SrBzi8/al/aieesIOhw473LGSk5jJQVtQDKvrHagSsJfIuSb1EOJJ6TWYTulLCeX7CnPrM3gpmlwi7mXEor4fCUxW99pMa/fKVEaPUlUImF1KTrWNI7AZii3t318IsTG6BAXfpuPQju8Stzgr5Yct2pcV0M0xewviAAlEuCqZCY9QjR/da9APA0+CMKSoqhJQKRNhHKHVCtEWYCbBq/sIjR2CRc+7oWcSL4tT8b4MgU3QOUmeZMTBBmBHkEWEqYrEyydA6dJ6ZkhiEzOEpDGCmaLZMUliSSKBaEsSCOBXEi0n4qmjeed5LP3TmF47hctq2aWLa/8/GHvzB31va3vTTAs5+p2Wq8Z3l9+LxjU1Nnf/6LNuM1n+GSYqAEZV9S8gW+J/FdC9+zCDxJ4IHnmsKIzBL2SIOF3JMiNREZ5+5TS/J7KyFx4G9uKPO5L5dTcBcstux3LE1QwU0jlXbBer9oxLJgxU7VHqJfBlzMAX0lK8Ow6ANzj0OZe58i/0NP6qkWuQTXLUzWXWqiixFPCkpKBnKykGFhq6xczjVASXj71U127rX5wCeqRgPPdjxXV0Qe0s/4uJ3lmGTtkHt1Y3MFSieohZGm2U5AQKIkUWIAHkaSMJZEibmFsc0v/0CD6+5yUfHEE/PzzfdUKuVFj++iAH/z61/PX37ib5Py4FJ97wNHGQsEtWGTnlhO6YjvWfiuxHMlrisMF/c1nqNwrW5z+h6VRPQHcgoVOlYhqCOSVEExrR5w4JZ7Av7plhId2R9+77feoktNMnDTpSTFlhWiT0U5ZcVO38nfk6zf92hBqufLAHf2uCdMX7wVLHcxR4VUE++nLpnTmXFxlUuHpuJHaGUinIX/XYhuSoVKE7aNE2rlYUc3SfjBq5o8+IzNl+8pmW2wCxtciHYqLEINdlqJbwkD+Cz8Xpx/mSiIEghjhRWSAlwTxdKMsAwFncgAPYok802H+VaZ8zcmbD1jSEtrOjlr+7tePsABrrj0dYRh+5+S5uGNx44dLD++02KgLKmVbUqBsdiuI3DShD3XUXiOxnM0jtNtXl8sWijq3N2Qe5GDdzm3lDGWkyBtzRe/HvC+Pxvg6b2+SaDqkQOLHNzkmjgFatLf9nhBeL5gvfuTrAxI+3sPpmRkUUWl97Oal1ineENXSRH5k8V18IyGZG/Vvfy8cN/l4YY6inTji9SFXMgztkJpC/qEia1rIj743hl+VcKNXy+ZPbYpcPEuXUnSsjcpDF2Rwgy16mmmnzbUj+K0BTfK5KfEmtBWtDuCpiNpdQTt0CJOYKimeHwPTIytYdPp78BxHODnXxnAT9+wQl9/0xc+PDK+9j13PPhCueQ5DA241KsW5QB8F1MAIYz1s6UpSnYdlZa4qZ5BrLa1sFg4KxLuB7ZMq3Kkrbn+roDf/IsBnt7rGc6xANyFcDzmIDoFalIsZBD9akkBkC/mWC4GZGAxKt6zXpSxZMlnug/nOkuiKmTlLQB6N5OwF/xZ5FgXqEoB1KKbo59RF9XncGYpAeIUZ18SwmkrYz7wC7NIAV+8s2T2I3M8C3QlK3vrpFbcUMS0+klpw9ETTSRBxmnwR5tMwSjuGhzblriOpNmWxLHEcy02rWiyct2qmYTan0v8U9qSUwIc4MJzNjM1PcejDz2B1BEjQxb1iqLsm9I1jSn+TFJJyBQnK9xUw3Ts7izKntbGp2jzkEuBdoywNdd/3YD7yec98Kwu1+7J704tOKalczaNOAd3oZlQv/V+WWAvgroP8MX77A1dFaJAyhdBer8z2d8EqPhkoQNZGNy6IIRPQUXJrLfu8vA00qgzcEuVWndp/ADVv4WLrNBY8j/6+Vk08K9fL3X/lsmGqeCttE0npUhSZcdeIJMsF0h0E+7SgFCiNKEQOX3RKBzL+H7Nlk2rIxkbGac6uHHm0OGDnz598/pTbuqLAnx0yXjHEvM/d9WlSz+7b+/e8lAtZGigw1CtjWPHNFoex6YDWm2Tk2JbGsdRuHbXiju2mS6c3bL6ye4gKNWNTqZzc7A1N94b8Bt/PsBTe7yUltinsNypU5mDm4U9BekN2BQLGhbNDqTvtT6cZorJgueLcPbF1imhk/dA6+XfuaXPnEx0jxUvFirnvDzj6rpgzZVASInSKj8JFljyvDkgC+hJz7Z3YOvqiA/8wixKwU33lLo7ngWC0qVkCvL8mKUNkpJFfCJEWkChaYVwbBbmOuBYguGyYqQWcnIWZGlNY2rW+rn6yHjnxY71iwK8MTurKrW1D5yzXcz6PFkerjVoRvPcs1PSDC08SzJaNjzMTvt0O5YBtWsnuHaM45gKd2PNu6P7srbGWeKUtExrY21rbr7X51f/14tx7lODu6c7FQtL0RYU8FKgLvTRkox/56/38fEM5i8G6lciFxZu/WH7Ra1434mwIG88t9YLrXk+oTqTETGW3yS1pBEc0bttC1YIp6+K+P9+cRaN4JZ7A5Jsp7MG9uknY23R0DIvZMg5WgHc3UJqw8fLAZy1tI3lNmlF8OjOgCMHfMaGXH7qistmt2xc9cD07IziRdaLArxUGUNId9KxO9cuW3X6bbfedYfzubtqHDwaYAub9eM2F291WTKksIPE8O206t51DLhdJ8axo5SHx4UBUAVnMrXc2tZ87SGf//yhOs/u9xYBd7/u3QV3lkjV7emt87rKUykkPfcsfA/9oC/gdYGa0k/OXwmwe0L2vcAmA3Na89Uv5mmdWe1+Pb3vBED0gD/PJxcClERKldMWsu6xhRTZLB7QdSLTbQjhtFURf/reGX7hf8BtD2Yg193v0RqkjcKmnbZsTgonbHa4LGEECUcLXEcwOmhz8VmwdpnCsVvsPz7Lp24JWbHqNdFsI752ZKg2WamUeLH1ogCXloeKnmZgdMXBydnm8zue37fJ6rTZNGYxMmAxPGAjKHJwhWvH+E6C58Z4TojrZH25474IpcoLFqSdgKW59YGA935wgJ37/AItKdKTTPdOHco+cPfw7gLQMzrSM3GiD+QsAP4ibdcyQJ/C08xqMtHFP4tTYl2/2OuZFi4Wvp6Bc9FoZ/a53Fnt8vNeB9UUQ2gUStKVEyUpyFXKpY0lz6IZWd+Tnp0PBRtWRPz5f5nhlz4IX7k/IMk2RGhM/7YEdILSNm1lE1uSSENFd/1tS2qsxGxvNnR2574yUzMlRgdjLKvDNed5LNu44fmRJasO3vXIPi7btvobBziAkBaP3v/IvtpA7aff/JpNd9yUPIjnBCwdM8n1WbdZJ3UufTfG90I819xcJ8ottylWUGnyvdG7bVehBHwlA/cLHtpbzGpnj9P8CkHPFLQecNNVTfLLHgstblELL1rkfiAv0MYLccteZaUgIfadHKcEefrr5vQ7B3YG4j76gUgRloI7bVBZ/L5eS21ezKYvZLy7mBIg00KJFN0FkJNXx4vCSZclcecdEzTQgQ3LIz70y9P84v/UfPWBEioBnBTgIq3QSSRIm1g5NKRNrAxtMcdNYgZpdZvbHz3Z4dCkYPmoTaQtlqw4E9XRP733mXv3rVh/xkvB92UA3NpIs9kgCEqHD59w7ly5dM9lm1ZO8uzBhEPHq6wc9VINPCHwYwI/JPA6lII25aCNY4c5uLMzWqPRCUhHs/+E5J7HAv7bR6vs3Oej3QzMDgu07iy/RPYFclIpMKMlPc0yKTowC3NPFnU46QU1hdeKjmjvmxc7eC8F7yLSF3+b7r8vyojZybGgIKKoiWeOZDGcn75fFCy5VCn1NiAXknT0YFp2ptMDq7qNfIxVNkC3EBDCppUxH/7PM/zXj2rue8xn/wkH7ASSvsskNtpyaEuf2HOJtbmaWELi2sro4hYsG4s4cLLBVx4ucenZdS4/b+OdW8+86HC73SQIyi91VF8a4AClUpnDB+7etWVT6cNSrbrs9q/v5v6nqwwGFusmoOzHVEohlVKbStCiVm1iyRbPHVTc/phNM3TS46YZq8dcfWGb5UsUzx2w+cDfVLnh7oDjM44BdzYnPgd5Fsgx+qm9KCVJAU3frPsiHYFF+LdeoJIUayuz+8xq9wCbLo3JYfwyFJTFQN0bvexzIDOdvD/KWdC9Kfzb66j2VfjovoCQMpRDQc7DM5CLRKNT+c5kChqj1G0jZz5r5QkO6epoNq2M+bNfneaGuwP+5G+qPHfAZtl4wtUXdhitJyQJSClodmxuf6zMc/trzIQlkrKNwlTnew7EMQxVXVYvbxEn09TGtnN4pvbh5295YNdbrz7/ZR3ilwVwgPFlY0D1ARFsuu743MzbBpzDnLbKZtlYyPKxeQZrTSqlBr7bZPeRmH+5y+Ur91d58NkKzTjNsUw61P0OV25rcPF5HR54wuHzt5bMtAUvKw62ey247PYxyavhRW/iVE+zerlIMKdAQ+i7LxrhroERC+hHUe/uoTOF92RPXlapWj/WC+jNeXfRQqfozMEpikBfhH/rbgFEN6Cke7l59ndzLph+KlKlQSGTPmveY46r+Zyx9rkV7+om2emJiGDJYMy73tii5ML9OxwuObfDVeeEDHiSKHIAQRiHPLizza0PzPHZO+vsPFSn0/aYa1vMhyb5rrzXZsOKGu+4eiP1ZRuua9prHwjUzMs+ri8b4EKs59nnDu3btOH7fmnL2r1Wa2TmLVvXnqBcmmU2bJLMtTg6E/LlB21u+Powj+8boBWVCFyLqgcdpQkjh+l5zY5dIeefHXL4sE07lFDKpI4CuKUDQmLljqTOswKl7GYEFhvS98zjpKB/0y8L9jGLPtohFqC7+FB0eXkR+P3Hi4UnwgJQU3AoReE+A24h1NkL4pSfF06O3EL3AL3wWUF+5vTQk9QjVtooJSb4023WkwWstNYIqbqfy/rj6HwTsdEkGIMSdxRBWTExkWA/a3PGuoh6WTA3W6bVCYgTG0sqtm0IOXNthzdcdJQv3D3LzQ/WaEcunuewf9bl5DMKIatMrFh6w5VnX/ZLrbkj+0u1iW8+wAE2bVjK8zvv3f/aK87a0Ti+9y0PPzPJnbe5PLxziE4nIm43OTznMxPWqAQey8qasm3C+K1YcHDWZXxpzG/93Aw/8H0dohAe2u0xF2Zj2brV8CKdmeNLA25HZHWUusdp7FbiFDh2AdDiFGDM+ir2WPRTvL/It3sczT5q06OYLEB27/O8+JY+6lEAvC6Cs+992Rsyiwz9EmIvbekCm/REEPl04uw/VRkNU+lVTJtEuWxglEg/o9IeiFYmUSKwyeZZapRIsGzJ7Kziy1/3+MvPVDh6zOb3frZJ1QuYnK4TRRbS0nhuRLXU5uy1DU5bNc+Pv3mWdrNKs1Xm4edsvnSfw2S4nKWrztxx250P7n/N5ee9Esi+MoADrFg+hh2s/sAtzz+29s5H2z945EiTiYrkhNXiQCtkNipTr3gsCRQDvqbkanzHcMUVIyHven2Tf38pBL7gvDMiJuqKuSOZ9Ta0RAgLR4IvwEtLmvKR2rnF1qe0wr1cuCC00mtVRR+4zcPuJ7vf18u/e437YpeBRTG9+Cry8II0uCA/Je+TUgB2z+tdJOeSXoHLdK12F+QZRxfZ+zMaRKrupdq72b2057gAKVSPFbdSmkKeCm3hipgj05IHn/BoNgM+c0cN22/wrtcERJ06GoHvJgR+RCd0iCLJUD3BlSFHZ+tMTY8xUVP8xBsDZHXZPy1ZftYHpqf2v1K4vnKAO6W1/J/PfWFG22t/4rXbDyw7dDi+NIottm1u8ezhkP/y1zZjJc1oWVELBJVAUilJ6lWHreskF22p02hKHGcWiyS1ktlIERshbRwLStKAO5+8IFJNWywG4i6gFoC8jysXgV4EeY/VL54ExfcVnUqxyP/Z950UnvfgdTHFpM/h7MlDEYtYYt1v0fvlQd1T7Gv+Lvp09YwEid6NKnw3ec67TptZpfkjWmMV2/KlHzSp0TaaCDOJwQI3QHllbnu4TtyQbFntMViDaimhWraJYqNzVspN/ujvB3l+zyhnr3XRQlGuDt71++9b9hO79l7X3Lb1B14pXF85wAHede1bufeh+5tKXRXedN91bFvVoVJq88KkzVDJZqysGK4IahVJtWRRrzqM1AX1SkKjHVBud6hVbbJmNMVSM8eCcrFnd5qpuGD4E32X9OLqs9D9fFj0vu3UoM9oiej7zj4alH9YZDWN2UtiwTb1L933WBRoSb8kuICy6F6tPOPK+Zf1nQRysf9L9N2nG5vTIJWfe/RUYymNkmbgrS6clVkhi1IWWWE0wqbkSgY8zdx8woFjMe3QoVW16UQmQ1BrqAQ1VoxEPPp0TKsjufb1sOGMy8MDx2Vz05ZXDu5vGOAASyY2oZS6b+3qNXp44JFLP39X7P3zHUOsGYLRGtQrFrWKTa1iM1iF4QFFKYjTCh5jPY5PWzQiBywjDdqWoCQhsDRu35ThnnRXuhasRwumG/o91eoBtTg1+IuOJPQBfgH/7jPnLwLonlXg2otq4JoCujLgZQOhyK1zLi9mvPtUNCfbPF3wQfL/ojsTs9uPpSBFZqVmIrPiGmWZnBZtiXybBJAIRRzbBHbCyECcn0GJ0jTbMDVrioPjxCaKJXHikCiQYpAfvGISIabYuWeCobFLWitXbbpfCMk3ur5hgK9ZOgDwm3/58T+o7J8ee/aW++KlG0Z9RmpQDmwqJYuBisVABerVhHo1ohKEeK5pyXxyWvH5rwW8cNIH38WybMoSSpbCt+iZuFAsDk79qXwoU1YdotNfsEgHMrD3y279+Ota7j7gpq+JvteKcuKiV4ui4X4RGaWIXd1jubP8kyw3e3EpMOfWRYezh4cX3tuzw10Hu3dl1rh3VGFX0cn2KZ3IoQTKKhQ2Z/svFZ2Oy9LBiLe9pslXd3SY75RohIL5jsZtKAQxSmvixCZOLDqRS6NtMduwee2Zk6xbPdpeuvp1H5qeLf/2UN37RmGK9Q1/Ml0bLnkvcTJQOWeVuGj5UMeqVR1c14B7qKYZqiUMVmPq1Q61SodqqcXI4By3P6756y8MMNsZwHJ9yragYisCS+NZZmRh1m/FsUgLJ0Q+VkSmqZX576jJrUj+6y5CJ3pGF9Jt+GP+1h1N0p35mb0mCt+RzpTPRpn0vEfkJ4WQhccL7hdSIVk4WYp0bOEQLN1VkdIuUkL2vq87obm/JV16Jex5f9HWF1q9JWZaW6IkSZJNcUvv07YTPXJhJqGm946tGR4IeXKX5Kk9JYRrY6f7pbROqZdxnONEcmJasPegBGdN+LqLxj4wVt39+5Wh7TH/hvUNW/BsvfPCJLTcifdHzbnw8KHjv/fw07F0LJ96RTNSjxmshtQqJspZDdoM1ebZcyjk4/9a5YWpGtL3KNmCqq0IbANux8qsdzpVufBDZNxbaVOoCoKs34uG/DEiTW3O1YHiZTt3rbonAn10hIKFFqlqk4KXDOQ970k1lT6Lnj1esApOZSYZ5tJhHw8vhtrzZKtU4sssfZFWFMl3L3TNK70BMJ0Wx5v/sHhlTLQp8k0SkfeFL37OsjSWlY4yzB1OkRP6RkszPhjzY2+aYcf+gD2TwwjhkGhNmJiqnTjtZeK5AqU77Dlhq8ro6O89vX/dB297eDr8t+Lz3wzwCy//AXY++c+t+rKl1x2fF//98d2PsG29y0hdsWq8wejgPCW/g7RifKfNoZNNfvdjZb50/wjCK1N2JAOOpmSbRjNO1ivDyoZBdTm4zJJ8dFqUmgI9TqdJZEOMSH+vfJCv7vao6c/56AFh0aE8BVXpUUj6wVx4nj150UCP7n6u17HspSk96a3FvJICVeltDmTOkoxu5DDPfRjda9ml6jqRqfWGtCF9LIliaQYaFABuSY2lNFYiUHZqzVU2aaJr1YVQXHVegz+Ij/Hr/1uy/0SdZujgzklqnmaiad4zUldsWRdy+jln645ced3B2Wbrx3/4G3Msv6kAB7CC1Ywurz9X3j34nqu/z/9LGo/KdctPMtue4+iBDrYMOW1lB/yIv/jnCtfdMUoSVBnwLANuR+Napkdd3s4re2yZ3ASrcEnV2vSUFmjiFNSRgkh1WyMICVaa0yxI62EXcNE+kBfui7RmIaXoK4Sg72/0Av7FVtGCswDk5MZ4YSi+8LfMQSyG+0+hLJHvV9aHRnc7/JKBE2JhoZQgjCXtjtXTl6Q7eU5hp46mSjTKNqnTSUpjkqxtBYK3XjrH0alj/MFHwS1ZbFoZYgmbZttn56GAoZpixeqL1cq1G96zv7XquZqc/GZA85sD8HVrt/PEk8+GF19x8ccG7P2lw4fdP73+3gZ3PFbl5NwYcdzit999gGVjCdfdWyfxagz6FnVXU3KUAbaddqCSvcDOH1sZyM0vlSjDQ1shdGJBMxZEifmbyS7UeYRPynRQE31g6QFA1+L2RzCLKkkv4LPP9Fnr/AR4mQ4mXVAXQY4wJ2/eSIoCoHPHulcXL+rlPYAmi/SmwZjiHNK0B2Smg1iW4dYN7dJs2zTbFkl2bNORisYICRJbGVBbmkSbBj1OIkkSRRKbBj5aS6TUvOXCeT731SZLlwh+54eh03Y42Zjn5gfmaXQ28vhu51cue90FHwuOPJ8smXjpVNhvG8ABztiyieMnDidnnveG3XtvHZ17dr+uLq81WFW3WLHEZfPyFg89N82R4zWG6xYjvqLkmgnKjuyWKXVvwoDeEnl7L8sS2JbIHauSp5gNE6amFCebEp3OpPSkxtcCLBNSTrTuNo5fxIr3O6J52F28WOg/+7vIT4IFFKZ7WiyEemZwBYUsv66MZ0BvLGa3X0mBnvTzc4p0pUtTFgC9p/FSZoWTnrmjUmjmpMeRkz6T0w7tjtkpS2bOfjYgOGvqo9K5TOZ3i6VExpqOZeFGFnFsoZVgfLTD+pWCB54c5/Nf8Vg+5qBVyJXbbDZsvXhuYOSi3UeOHkomJtZ9s2D5zQM4gGUHHDvavuH7Lrjg5zcv0x964pEvDd37aMiKJR6eY3Fk1qNc8pgoK6q+wrONdZay9/Iuiz3rem6mfYBjSzxHEPiaS7ad5NkjJ/ny/S5PHazSUj6RZeVgkalTZRWq0XvB173vdwyFLIJ7ERWE/nvRY917uHn6xfmVQxTAnFluzON0tlO31yBdkC+ovUQXrkrdYas5B+8Tw4s6dtbCw7bMMAHHCbFEyO7Dihvukzy3R7C0ptIeOBLXAccRuLZO/R3ZDULZJmoZp6kRWUDIthWd0CZKLAI/YrSmiEKL/Uckjp2w70SFN6y58uTq1ee/d26+fUO5GnwzIfnNBfjQQD39ESc/NTJ8vo2e+8Azex8eXTI0xYlGm8/eNszqIcHEgMZ3jUXOPPtsXgs6A7jAsQSuberzPNfCTTtpBa6gEmhGBhM2r4K3XNLhR66e5Bf/bIg7Hh0mdks0bctYHC1M8096L/P9QZwFenY/3xanKHPrkxCLQaD8C0+xCljvDVyBqdSRXac5uwJ1rXhaQJw1/aHrZBY5eB4rKpxkxmFP+6+nReCuE+L7Le5+XPGLHx5h39QY6wYd1PIOQzWbkm8ReBaeK0hckcYesl00XWt1Oj8zTmR+EgphrH7QdNBK8O8vm+S2R5ocOSk5+/Q6V2+76Pi27Rf82guT0afWLh/5poL7mw7w7m86wsHDc58YXnqNfO1lrT9uTH1p9J9u8wlEidXjgqGaKYCI4iT39DuRot1RxIk5KJY0FjwDt+mDKAk8QSnQ1EqKaikmTgStTokNy5v8zJumefI5j+Nti1gGdJShK3YKhgWBkCLPLmBxgVad3WSvFZeiV+cucu/+zy4AdyHimgGwB+DQtdoiU1C6Vjx/TF/InuItlUMLcR1T5NHb2de2Ehw7Yq4V8rEbazy7f5D6kItnJ8y1wLYSlEqNkLbyqR2Z825J02RTCogT06CnE3X7JYaRwJI2c02b5UvgHVfMcdO9Nn5t8/F/98YrfgOSTwhR/1ZAkW88BvoSa9lEFbt108c2rHLe9+i+1Sd3PF3n9KUOG1d5nL8FNq0OsSwT9RwbchgfsZkPzdArpYxVtCxDS7zMcnuCkq+p+IpyYPpHW1ZCoiTtpsvV20OWjLQhidA6IUpbgxWtTX4SFh4sxrFlHy2R9INXFCx3t060R2EpcO8ixjMQ51HYwk313yvyWUx55FaJAiURC9SVLGe8Kx/27Xth8EDGux074sgkfOnBCqJkY0lTF9nuaJptRbOtaLUT2p2Edqhoh+SdX5U2Reeem1D2Q46c0Bw5IZhrSmKlefaFDvc9FfHMHotn9tY5Y9UA737LkpMzreB9/+Mvb/2YELVvFQy/NRY8W2Orr+WX//tnPunZm8O3X3n4r06cOFzdsjZi6ZJJbr7PotGqMzZosWJcEwQNbnoY6q6Da2eXNnAciecYcAe+puRrAl8ReAmem+CkkyOUktg2JkNRx2hlqsWTvgY5RYAX5cAM6FkkcwHI88hgFrnsteL9J8SpNPMiyDPJU/VtD6QdGzKaks6kFFr3UJesYF0KkbZFpuBM6z5LXgju0CsVZh3FtBBEiWnHoTTEiaATa9oh2Jbqtt/AGCDbEri22U4poVoOqZSm+eSXhynbLsvHHEbqiuGhWR54TjLfLDPfstD25rlrLq3/p1pl9h8HV//YtxKC31qAA7zztUKVgso/HZ1cGs/N6L8bKT/kf+lByUNPD7BhwmZsCFZNtCiXT9KIqgTS6YI7dSo9T+C7msDTlPyEwDed/z3HNMW30skQxtJpc8RR5jLPqa33Qou9EKS9bZaFoSl5C3JRCHkXAJ/1zBGLC4WGqfaOOC+m+2XbnT/BAFml4dm8E0MaEDLdZOlRirLpwD1SYuEA9A8CE2nrNIQ5fNnsyk4saEcaS6ZFD0LlfodjWYS2kQYBU3geNNh1vMKQLfFcqNdszt3okeg5bro7YcvmrW3pLfmprz5a+eckDl+0ac83Y33LAX7BZW/n1ps/l5RL6/9Zi0bywLMb//7+x475W1b5rF1msWQoZmJkjvmoibSH07yTFNw5907B7SX4niJwE3w3bS6UtoOTQvXmUmtleCsLL9FFc9kv+YkeQBedyOLfRDf/RIgecKctW/LvzDcp59YZV85y97rZfCK1hMUJIYUgpIkM9kU0U0qdzufJaI/O5/WYKt5spxeuIsiz92gUkdZ0EuhEJh/IdAjOnFPMjNKUQmZUJUososgh0S1emAqol80kzSQps31dzLqVE20lB35kxZJ1103NHUje+SNv/1bD71vHwYvrymuu5ekXnkzWnF/+F2Gte/ebLlvXXDbeIdIhwwNt5ttz/P7fDyBjh4oPgSfxPZk31S/5mpKvzM2LCfyIwIvw3DjvuyJF0pc0lCGrAJKivFe8nYJ7Z4DtJmCJ9NZNHRDZe/K/ifxzRQczVzH6IpMqveAopdNbt2d2xsGLvbSVSntsK9LEp8yKFzl9/4DY3kCQ6Dk4fc+1ApUQJppGYgJorUjQCqEValodTatjBIFWJzHP24Jm26LRdLBEid9+1wxBpcnxWYGUbfYcnudEc1PzjI3r3r3t4va/lMs7knf+4LXfDuh9ewAO8BPv+nHu/qKt94e3fbYyMvhT+2bGZ07MaBRzfHWH5PFddUZLmlrJNNgv+zYlX1BOwV0OEkpBTDmIKPkm5dZzQ9MWzjZ9DS1bdSMz9AEre07GPbuA7gFxDx3pOpCiYLVzqlIAt1XMQJS91KbYcwV6nUFjjXUOziRJNeYCyHUBvOaEEF3QF15XKh1Zkt0K0qLOWq7pPmpUWFoBSQwqIlEJjVgwH0kakaDRETQ60Ohomh0ziaHVSWi2EuZbmrmmZHreYXq2wtlrfK44c4ZIRgzXLd525fDMqtWln3pm/998du6FcX3pFT/17YLdt56iFNe7f/Qd/PnHP8ppy1Z/erw+7pS8kx/8zM2PDN90b4PxkmRsAAarFgMVm1pFUitrKkFCNUioBBHlIKLshzm4PTfCdUMcu4NtRxydhTCWaYg+u9wuFqWkhzsXU15FaqHNqO8ucPMU2oKVtlJwC1n4fD+Y6U4HyWlK5gRm4fb+bcy8zly4JifluVOct3YQJGnqcJKeuEqSgzzRAkt3t6OHxhWOkUbgWoqhckxzOgTZJhSCaWwSbdSQJKV9WdWQEEm+UVJaOLaNa/vY9iA/efUU550uaeoLT0h/4D+3OtVPr5p4O1e89ttjubP1bQU4wC/8xM8A8Ny+mU9alm1f1Z54/94DN4/qsEG94jJYsxkekAxUUkriJ1TLEdVSSDnoUPI73ZZwdoRjRzhWiOXH3HhziYNHFt+lDPL9MzB7rG0R9LlFTsEsCvSjAO48J7xHeelSE506hCkUUnpirLaxzBnAdZca5Z0uoQfkugB+iRkLmH4um0epMroiDU/XKs3t1r2FwrqPkystWDaR8MaL2/zvz3toq4OOBR3tEiuLtpK0E4tIKRLV1WaUTkgSnTq6NrbtIkXE+NgYZ5/5puNbz7r41yH+pBDf/CDOy1nfdoBna8OqAebmGx+/6rWXiMDVf/z5L35t1BNNxkcky0YjBioR7dDCcxTVUki92mR4oEE5aOA4EVKaAytkguNFtBTc/7RLpyXM5COd6Se9I7iz+4xDFwscZApiq59TS0NJZBH4BT5u9XxHL8BVJgcmaS/L1AnMQJFZ9eyqkkmHWmbuZ/bX9FFqzfNrlDDjs00/ktSaC0y1jepacl3QznOfhG7QBzSlQHPeaR0+eX1EuynAUxCHJIlkXljMWw4znsNYxWyELQ2dOj6jGChFRJFCAtVKFXfoNcc3n37pb0SR/rjr1l8tmL16AAeoVspo3fzY615zYSwt+08ffeSOQaGncb0mO/bDoF9m/YqYZWNz1KvT3PZYwoPPmcZAvh3yhvMbbF4TcdcjLv96d8BNt/uEbcxsdSuh2L+vm/usC1VB9IDZSvPPZZq0Vbzv8mvR42xawrRzsWQvl8/0ZqUFSZLlsKfWWxmAJ0l6uc94vTYV61kD+L6Yf49OXnjZgBthTvj0KmClDmt3Ho5EK2U4eiFP2GQXmmkc0te84YoO/312hhvv9rnnyYDNq2KuPr+Da0u0kDyws8LtDw/R6ri4tmJiWFCqdnj+kEBaglp9kM1nvG5qaPy8Xz1yQvzdiomX7h/4rVyvKsABhCihdfSpyy/dfnJ2Zv+6ejn5kzvv+6pz7xN13n6FoFaZ5f6dcxyaEvzNF0fZfbiKQLJh2RSvPafBp28J+KO/G2T/QYdNK1pccc4s9z0bsOeoi7YVOhuHVxwjmFrrIr+2ZBfYi4FbSkNTis6mJbITgvzkyOU0QZalTZwWasQJ3QFLkbnUZwGfrB2Dlbv9ole3zirUF1WOU2svBCIx+5modGRInp8t8vxsXXA0hVB4Xsyeo4L7nyuxZU3Me39onh+4os0f/p3iqX0O/+4yWDvuIUTCvmNTfGysxQsnK+x7YQAIuHJ7k7v8Nps2fF+0bES9b9nq83a7buVfB6rfNg3jlOtVBziAEI5qTO284dp/93Z3985Hm3sOi4+c2XhWbF59RN79VMSnvzbM7uMOSTtg44hgbEDymnNrbJgo8+mv2Ow6OIIEXn9pg//4jg6PPBnya3/lsmuyBDiFppx9KbmFPHMrTQ2wpbFEllXg3XlQpxDB7Ds57LSDl2XpwoljLv0qMSdLFAviRNPqJERRSlHo0iUrncGqCz9M5nQKIbpphikD68k7yQes9ubBSJnOUbIESSJRSuUDegXg2gnPH9K8769HeGJHlZ/5wROc9o4O68bh9LXwmTtH+MytPldusxkd7DA+PM2vvGOOvUdbfOarFo8/q9l+bFC95crTNcFpv1Aun/O3O58/GF5y3rcu/P5K1ncEwAHKgxt55LEnwyAY/9TwCLe96XWttz/3gv6Dh3bM8O7XtvnsPQnHDmvWjsHaZTbrl/p0wjK2IxmsByyrwVhtCY6a46rt0+x56yz/5a8GIdBdEGYFFVKk1lakOc4iB7tMc84tS+ScPM89KXDwIne306JoxwLL0nnxhkytuRA6BZfgwLGY6bmkG31Mv9NKv0Onk84g7cOYRizNfJ2CbCi6j7PhxIaoGEtutk8bcEsTbbQtQZxZdG0y/lwn4a++UOaW+0cJvDJHjrnseC5hdLBFuxPh2R67XwgYqThsWOFiWwn7JhOuu32U8zZqVi0domOv+N2N6zZ91q8ueSEMnw8nJk57teGUr+8YgAOcc9YWgNYTD39y59Zz7Pcf+cw295LzjvxWEj5sWTJhYhCWjzkM1y2Gak0e2W1x75NVVtYF29fa1PxhDh+18SZCakEbMAXLdtZAKK8O6t5nlMSyJLYlsG2ZVu93CysWZht2nclsDqdtmbGKrq3TYgCTC+2kwwEqpQjPj7jlEZfjJyyqQbf+1ERusyCNiWNKkercQqTRyqyXtyYpJHSpQog+k/5E6vzJRBDnfoMkTjRxLEksM/tdIxBCMdNyEa7PqiGYm67zwFMW2zbPcuFpk5y9vs3UnMeJaYnr2JT8gDCexrKbHeFsntu+ce1H/uFu3l+9fU/ys//h4lcbQgvWdxTAs3XGtndz/Q1fTH7oB9/8Xw8emrQP7Fn6K488/5hXd5qsGp+n0awhZYe7n7A5PhmwfkRQr5p+sp3QtALTWiKExLdM22U3rUBxbZGmA4gemmKnN8cW2CnYi1Jfl7OmG5nRgIL1NWBOpz27Kk0nSAjciLGhJhFzHJkf4sDJAZYNKIK0oslzuhq1kTJTHq9Ay6wiIt2WdINUYZukMFcglX5BRqO60VmJmaghkdIyo2YSSRzbpgMVAltKAsd838lZi8OTZVYvneeiLS1uv79Moh2e3NckjF02r1/HpvXrbrc58lbfH1DvvjxOrn7997/asFl0fUcCHOD73/Jmjh2fZXSk9VsT46+TQW39Rbuf/KJ8+FnnorFyw55qtLnvqRJ1z2GoBr4ncW2NbSVEKuHpAw627VCywHcMiDxbmKoUK6v1FFhSdms/bYljmQnOtkU+DS+OIUnSBKY8CNObfWhJnU989tNMx8CL8b2Ikh9SKzfwZ5rouMxUC3xXUlOKkkMePMmCTqZivTfiWASs1qASTZyqMEIK7FTvLmr6iTROJ0KgkZkfiiUVbmjTcW06ocfmFTGuHRMlDlGsaHXgxLTDSK3OBZtO8tBTbWYbFuedWYp3H6zdc9pZb1QXDK99CGivGK+/2lB50fUdC3CAsdHcUfmNT/z9F4nV+dXNG5sfHa089457Hm/JcN7n4tM1rdBQCt9XVEohT+9P+NRXR6kENhXXWMrAFQSewHNEoRVFbx6JbQk8V+C54DkGDFFsqEIUG9lNp3xcpUlMeWlWSkU8R+G5CaU0XybwQ8p+G99vIe0QoUI6YcSJjmsCMErlhQmZ5TZOa1cmlAWFJ/M1o1gThglRqpo4juHUUkpjzbNwv5DoSKMSCrQkHdrrJMw2SvzQa6a46f45jhwZoh1qlFLMtQV3PlHmzLUhF58JjfYKdfbWdZ976zWVn5lvHppbMb7t1YbHy1rf0QAvrh//kTfTmN4zVyoH/+mZ3ct23ftceeuPfn/rbS8ceIJjL5RYPuZTr4SUSvN8/oslVFRlSdm0pPBdKPlmUq5ji9QK9gaB8vxmxyR3lX2F52riGPYdEbQ6aW2nNNKXqdQ32yZktyA3G8QVeBFl38wqGqg0CGqNlG7E0GgyZwmUdlBIRPpvxuWV1UuJsuIPOz0xhYAwghOzijhReA4EvrkC2JbpU5IldKk0zTaKzb5GsaE3tqXxHIfpuTJDtYS3XTzHn/xjhZmmSxRpAq/FrkNNStWtXH2JvM4buGiHG6z7XyejxtxZZ69+teHwstd3DcAByvU1AJPHjx76nV/4D2esStoPcPOdtbdNNfYxUGkyWJvjhnvhgSeH2ThiruVSQOAKaiWbatnGsQVxrGiFCXFsWh3IlLzaFvguVALF0EDEYLXFzgMxz+4vETgWgS+N0qEtpAQnpRESIw86qfX2PTOMq1ZpUinNs/dYyJ1fczk5I3jdhfNs29Th9h01njs8yKQKkMi0+NdUqyeq2yU2P/EscBzjjJY8zbLRJodnOuzZ5zJUEQxqsKXCc02cPysjQ0OUQKsjiCLzHXFiIsS1smC+6THTGOPCTVO86aIZ7ntsiCOTbTasrvDay88icc647oxztrz3xPTcvtWrRl9tCLzi9V0F8GyNLlmK1gf2wcZfPees8qc2rzv7lxpTz17eim7n+tvLVKXHxWcKbL/N1x6ycB2b4QGbiVEznmPvIVNMll2OfU/ge6Z/iudoqqWY0XoL35/i3p2SJ/cHbF2hcOws3J0ghJU/FyLj4GaUYuCFVEstNPN88LOSGx8c46mdZbauafD+/zTJGas6PLZrkpsfbPDh68eZbFcN97cVfqzzLEJT+CHTulRDW2wLAl9x+poW09EM9z83TDLjmM96ZoiUZYHvmlyeJJGEDQEkHDoeI4RkYtRmoCLpxDG3PGxTsipccobFm849zqFjkm3bz+XMczff4Zb8/+XXVz9+YCbcd9qqZa/2z/4Nre9KgAMIsRxgl9Z6F7DjmR2diSOzq/767a9/Zv3+55+wxocER+aaKF2hGlgsGRFsWjXH9feGTJ6osmm5ZKje4J4nPEZqkrJvSiMc21QN1atNnj/W4isPLWF5TeR9WVqddBC1BtdJOzcJo3+7tsJ34zQhbJ4/+Uebj96whKaqUnEknuPRnHdpNRO2rGqxZc0cJf8wf/h/bKY7ASUbAtc0NdKkfoEtCDyolkxuTbMtiWLBfMvlqnMirvt6gxcODDJY0VRj8x7bglo5YaTe5K4dEp2U2bwypBRMcv2ddaT0Ga1bLB0TWNYcLxx1uNsuc972c5IP/OaaXQcOOj973nkXHAZ2fiMDtb6T1qsfS/03rjRXe+eJ5Jzb7dJZ11x6wdmX/+xP/eTh9RvWNWYaQ6wagaEBzbLRDo5/ksPHBAOBZGJEcvq6kMRucnIO4sRwbNdRlPwITZu//ZJHGAUMV2B4wGblUmirDkenIhqthDhWPa0RXDsxM2fKTfYej/jHO0dJxABrByVblypWj5TYf2CcZ/aOcOj4EHFY59pLQzZMnKTRjmnEkig226LS6KVrG3BPjLRxvWn2H+0wOSU4OevhWiV+/A0zJFZCo2PUHq0NzRmqRSCneHpfiyOTCbMNh6WjDh09z8HJhOMzmt0HfdYtG2LNunWNa97wo4dHJ7Zfftqm0695w1WbbhdCfNeDG76LLXj/uvTsKlqrfXD+C+i5LdPzXPhjyy//6MzJXZUX9u2tt+Ld/O2NFZYMlDlzQ4s48lkzAZed0+CmO6omCp5yYN9NcJwOx2eqDPlQK0sGaxYXb53GK8/x2VsGqbQ0QzWjf5g2ZgrHSaiWOhw52eFX/2qIyZkBlldhSSVhdEBSDSSzDYdjU5DNvBkdTPiTn53mP/55mZOzdQZ9kWcaog3dqASKarnJDQ+02fGsx2VbbabnbeaaJUZr88RJRDvyU6XH+B0DlZAb7oe9h23O3QD3PBtz7voa/+ENM9zxSIjlLZkrj60/ee4Z622N+Gm/uvre5eOVmShBfS8AO1vf9Ra8uISQCCHUc3saU6Xqspuf371j9XkXvOVX3v6OH3ty9bpzHhkZXPXo951Xbu+b8jg+HTM9r9l1wE41aHBtw11NrWeM69pUfJGOYYGBcodIJ7QiY2W1AMvWOI7GdcznPLfDrQ9b7Ng1yGggGSkrBsqCSslEScNYMNewmZlzmZoLmJ2vcuZai2u2T9OJE1qRIIxJWwtnIDctGSwZM9tUzMwlzDUkjZZLp+MQJ4pOBJ3QfC4rpFgzEVH2E4ZqMWdtjHnmYK09PrLm0Usvu+DJ17/xnX944y3XrQtKAxvXr15281itMSWEUK79vQNu+B6y4MW1cd0EgGo0E0B+3KL9CWlZvPttm6zx0dJHqqPhxvnpg5fum9xpPX8AamWBVgllP2ZooAVCE8Y2QlqpxCgZqiXMtWPu3WERh91Ake9qauWYShDj2AoIueG+Kh3ls6qsqJehVpKUPMvkgiTQaAuceRvL8nDthHKpzBvPb/LJWyM6iU+jrXEdqJVNI6QkMbr8JWe0efDphKl5TbOlaXUs4sTCsQChOdHQDDZiOqGi2ZactabEzjNKLFmyPtmyZfldtSWlncc68++xrVbieT6/8kt/rJctX9l8tX+vb+X6ngR4tsqlfIBFFhOMO63Zn3nzWm/w4OFjf/TJf77JvfzsQ4ki2LZ0yN4+PnqUdnic3QfqnLXJxxYaaUPJFwxWQyZnI3YfKGPLblu5ejWiXGow3xb4rsVME4T0GSsJhiuawYpgoGJTCmxs23DsuaZAawsE2FZAtVxBJTEDpRDH9vFLmqmOoNxQjMcqbULvsH6ZYKgeMt3waXag3bEII4uSLdiwLGL/iYhGOMTg8DiR6Dy0+3Dj4X9/9bi1esNbQ8db+ptnntGaGh2pvto/y7d1fU8DfLHlBTWAKeA/Atx+xx0Al0uRXL1k4OS1x06u21SKHfYeuw+pLDwXHCukWprhS48oVOwxWpE02qYJ/HCtxaGpBg8/PcrbLgm577kSh4/5LKnBcE0yVLMZqdtUSiZYND2vODmjqZYlibIQwqUcVFg20uS157R5bledK7fDA7vbnJz2SBRUgpiTsz4jgyXO2TDPv97uMj2rmW9JBgfLXLDF5ZpLzmU2skji6rPr1w58rlb1vzyq9B3nnn8p8Iuv9mF/1db/cwDvX1dcfjnAHe3WiTuAOyeizrp1szPqHz//jFqzcuma7ZuX/brLIZavnOLEXUcJpGLr2ha7DnWI4mHmOxFfut+jhI3rNDk67WJrizVLLJaPWTi2xdKxBMcJmZyyCKc1J+cV8y2Jbfk02xZaBZy2tsxILeLxjmLAt3n99hmuv8tCyoROdJwdj/tcuNXjtNU+e4+vZ9Vql1XrlzNcef79559+cM/Wsy6RI8MDUkpnN3Dz+Njwq31ovyPW//MAz5YfDAPcnD0/fOQojuvWjx45es+xwzbDo9Xo4gu2//Jl5zlXnb465OjJJs88+RyINp1OwLbNNiebLsdnFUMVOG11xJHpBCuUhGHIniMxlrDwHFixJObwcTM2UdLmwadtahWLZUOK1cssDk65nLt1kKBiUa8PM77uItwRn5VrLNbY7Vt2n4j+dPUq11mxegtjS666493rw+nqwKtT1Pudvv5/gJ9iTYwvAZgGrgd4evcRzj2LZzxLLZkYjtTaqMWh/YfxHIuhqkO1Imm2k2ho/Ir/9rqRzpsvPWMuemqPy3TLYXAswakpXMdU47iOYl3TYsVYxFzLovG8ZHRcOGeerb94/5M7/1ukbKcdBiDBD6qMTWxn6XKXpSPIcsDR3/159ril5a/2IfquWN9bmtCrvP7i03cCYomfHB+48LST+pl9PkdmXZYPKbRSSAtTvmaZEPrS0RbHZgIe3wNv2G6Js7dWZrTSR2Xtja/2rnzPrP8L7/U88sG1oJYAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTY6NDU6MTgrMDA6MDDXv+0NAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE2OjQ1OjE4KzAwOjAwpuJVsQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 7}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 9618564
    {'hecke_orbit_code': 481153777695, 'n': 1, 'trace_an': 120}
  • id: 9618565
    {'hecke_orbit_code': 481153777695, 'n': 2, 'trace_an': -6}
  • id: 9618566
    {'hecke_orbit_code': 481153777695, 'n': 3, 'trace_an': -7}
  • id: 9618567
    {'hecke_orbit_code': 481153777695, 'n': 4, 'trace_an': -1034}
  • id: 9618568
    {'hecke_orbit_code': 481153777695, 'n': 5, 'trace_an': 68}
  • id: 9618569
    {'hecke_orbit_code': 481153777695, 'n': 6, 'trace_an': 1431}
  • id: 9618570
    {'hecke_orbit_code': 481153777695, 'n': 7, 'trace_an': -1753}
  • id: 9618571
    {'hecke_orbit_code': 481153777695, 'n': 8, 'trace_an': 811}
  • id: 9618572
    {'hecke_orbit_code': 481153777695, 'n': 9, 'trace_an': -3488}
  • id: 9618573
    {'hecke_orbit_code': 481153777695, 'n': 10, 'trace_an': 1158}
  • id: 9618574
    {'hecke_orbit_code': 481153777695, 'n': 11, 'trace_an': 633}
  • id: 9618575
    {'hecke_orbit_code': 481153777695, 'n': 12, 'trace_an': 12777}
  • id: 9618576
    {'hecke_orbit_code': 481153777695, 'n': 13, 'trace_an': -10627}
  • id: 9618577
    {'hecke_orbit_code': 481153777695, 'n': 14, 'trace_an': 16244}
  • id: 9618578
    {'hecke_orbit_code': 481153777695, 'n': 15, 'trace_an': 8395}
  • id: 9618579
    {'hecke_orbit_code': 481153777695, 'n': 16, 'trace_an': -4178}
  • id: 9618580
    {'hecke_orbit_code': 481153777695, 'n': 17, 'trace_an': 1713}
  • id: 9618581
    {'hecke_orbit_code': 481153777695, 'n': 18, 'trace_an': -10077}
  • id: 9618582
    {'hecke_orbit_code': 481153777695, 'n': 19, 'trace_an': -8345}
  • id: 9618583
    {'hecke_orbit_code': 481153777695, 'n': 20, 'trace_an': 60861}
  • id: 9618584
    {'hecke_orbit_code': 481153777695, 'n': 21, 'trace_an': -31195}
  • id: 9618585
    {'hecke_orbit_code': 481153777695, 'n': 22, 'trace_an': -43117}
  • id: 9618586
    {'hecke_orbit_code': 481153777695, 'n': 23, 'trace_an': -67730}
  • id: 9618587
    {'hecke_orbit_code': 481153777695, 'n': 24, 'trace_an': -29436}
  • id: 9618588
    {'hecke_orbit_code': 481153777695, 'n': 25, 'trace_an': -85880}
  • id: 9618589
    {'hecke_orbit_code': 481153777695, 'n': 26, 'trace_an': 25485}
  • id: 9618590
    {'hecke_orbit_code': 481153777695, 'n': 27, 'trace_an': 18770}
  • id: 9618591
    {'hecke_orbit_code': 481153777695, 'n': 28, 'trace_an': 322940}
  • id: 9618592
    {'hecke_orbit_code': 481153777695, 'n': 29, 'trace_an': 48150}
  • id: 9618593
    {'hecke_orbit_code': 481153777695, 'n': 30, 'trace_an': 0}
  • id: 9618594
    {'hecke_orbit_code': 481153777695, 'n': 31, 'trace_an': 49476}
  • id: 9618595
    {'hecke_orbit_code': 481153777695, 'n': 32, 'trace_an': -395322}
  • id: 9618596
    {'hecke_orbit_code': 481153777695, 'n': 33, 'trace_an': -92548}
  • id: 9618597
    {'hecke_orbit_code': 481153777695, 'n': 34, 'trace_an': -457978}
  • id: 9618598
    {'hecke_orbit_code': 481153777695, 'n': 35, 'trace_an': 157789}
  • id: 9618599
    {'hecke_orbit_code': 481153777695, 'n': 36, 'trace_an': 129427}
  • id: 9618600
    {'hecke_orbit_code': 481153777695, 'n': 37, 'trace_an': 238344}
  • id: 9618601
    {'hecke_orbit_code': 481153777695, 'n': 38, 'trace_an': 185830}
  • id: 9618602
    {'hecke_orbit_code': 481153777695, 'n': 39, 'trace_an': 309716}
  • id: 9618603
    {'hecke_orbit_code': 481153777695, 'n': 40, 'trace_an': 606677}
  • id: 9618604
    {'hecke_orbit_code': 481153777695, 'n': 41, 'trace_an': 35959}
  • id: 9618605
    {'hecke_orbit_code': 481153777695, 'n': 42, 'trace_an': -164607}
  • id: 9618606
    {'hecke_orbit_code': 481153777695, 'n': 43, 'trace_an': -311135}
  • id: 9618607
    {'hecke_orbit_code': 481153777695, 'n': 44, 'trace_an': -702621}
  • id: 9618608
    {'hecke_orbit_code': 481153777695, 'n': 45, 'trace_an': 772689}
  • id: 9618609
    {'hecke_orbit_code': 481153777695, 'n': 46, 'trace_an': -287890}
  • id: 9618610
    {'hecke_orbit_code': 481153777695, 'n': 47, 'trace_an': 150530}
  • id: 9618611
    {'hecke_orbit_code': 481153777695, 'n': 48, 'trace_an': -523632}
  • id: 9618612
    {'hecke_orbit_code': 481153777695, 'n': 49, 'trace_an': 784094}
  • id: 9618613
    {'hecke_orbit_code': 481153777695, 'n': 50, 'trace_an': -1034303}
  • id: 9618614
    {'hecke_orbit_code': 481153777695, 'n': 51, 'trace_an': -1566491}
  • id: 9618615
    {'hecke_orbit_code': 481153777695, 'n': 52, 'trace_an': -1080753}
  • id: 9618616
    {'hecke_orbit_code': 481153777695, 'n': 53, 'trace_an': -1164247}
  • id: 9618617
    {'hecke_orbit_code': 481153777695, 'n': 54, 'trace_an': 989080}
  • id: 9618618
    {'hecke_orbit_code': 481153777695, 'n': 55, 'trace_an': 1197682}
  • id: 9618619
    {'hecke_orbit_code': 481153777695, 'n': 56, 'trace_an': 1178042}
  • id: 9618620
    {'hecke_orbit_code': 481153777695, 'n': 57, 'trace_an': 2398464}
  • id: 9618621
    {'hecke_orbit_code': 481153777695, 'n': 58, 'trace_an': 2436965}
  • id: 9618622
    {'hecke_orbit_code': 481153777695, 'n': 59, 'trace_an': -1106237}
  • id: 9618623
    {'hecke_orbit_code': 481153777695, 'n': 60, 'trace_an': 1934095}
  • id: 9618624
    {'hecke_orbit_code': 481153777695, 'n': 61, 'trace_an': 0}
  • id: 9618625
    {'hecke_orbit_code': 481153777695, 'n': 62, 'trace_an': -520303}
  • id: 9618626
    {'hecke_orbit_code': 481153777695, 'n': 63, 'trace_an': -3411888}
  • id: 9618627
    {'hecke_orbit_code': 481153777695, 'n': 64, 'trace_an': 235127}
  • id: 9618628
    {'hecke_orbit_code': 481153777695, 'n': 65, 'trace_an': -583738}
  • id: 9618629
    {'hecke_orbit_code': 481153777695, 'n': 66, 'trace_an': -4572168}
  • id: 9618630
    {'hecke_orbit_code': 481153777695, 'n': 67, 'trace_an': 111900}
  • id: 9618631
    {'hecke_orbit_code': 481153777695, 'n': 68, 'trace_an': -1524354}
  • id: 9618632
    {'hecke_orbit_code': 481153777695, 'n': 69, 'trace_an': -2029246}
  • id: 9618633
    {'hecke_orbit_code': 481153777695, 'n': 70, 'trace_an': 3662018}
  • id: 9618634
    {'hecke_orbit_code': 481153777695, 'n': 71, 'trace_an': 1528315}
  • id: 9618635
    {'hecke_orbit_code': 481153777695, 'n': 72, 'trace_an': 6241105}
  • id: 9618636
    {'hecke_orbit_code': 481153777695, 'n': 73, 'trace_an': 2588381}
  • id: 9618637
    {'hecke_orbit_code': 481153777695, 'n': 74, 'trace_an': -1260273}
  • id: 9618638
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  • id: 9618643
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  • id: 9618645
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  • id: 9618646
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  • id: 9618651
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  • id: 9618652
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  • id: 9618653
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  • id: 9618695
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  • id: 9618738
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