Newform data - 112.10.p.c

Formats: - HTML - YAML - JSON - 2025-09-09T17:12:05.649578

• 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': 11200, 'analytic_conductor': 57.68401365035379, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 28, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 6, 'char_parity': 1, 'char_values': [112, 6, [15, 85, 17], [3, 6, 1]], 'cm_discs': [], 'conrey_index': 31, 'dim': 24, 'has_non_self_twist': 1, 'hecke_orbit': 3, 'hecke_orbit_code': 9008230214664304, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 28, 6, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '112.10.p.c', 'level': 112, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '112.10.p.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '9.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '112.10.p', 'trace_display': [0, 162, -852, 6744], 'traces': [24, 0, 162, 0, -852, 0, 6744, 0, -77884, 0, 57534, 0, 0, 0, 0, 0, 789336, 0, -469098, 0, -2104376, 0, -1553682, 0, 3602544, 0, -6389244, 0, -2462040, 0, 10306686, 0, 8789748, 0, -21149802, 0, 10422720, 0, -54458664, 0, 0, 0, 0, 0, 2549604, 0, -12751230, 0, -16137504, 0, 107322414, 0, 62342520, 0, 422625348, 0, -317200696, 0, 101234394, 0, 48881304, 0, -726717996, 0, 272864028, 0, 48335310, 0, 0, 0, 0, 0, 672073812, 0, -950672484, 0, 10755684, 0, -144370122, 0, -305389432, 0, 568641984, 0, -734871504, 0, -33665484, 0, 1630891500, 0, -1012044192, 0, -457741376, 0, -1433917218, 0, 0, 0, 0, 0, 1218093732, 0, 434650002, 0, 388384020, 0, -491421870, 0, 883509804, 0, -3163730004, 0, 508147944, 0, -2075764230, 0, -6704631696, 0, 6327153630, 0, 2086225596, 0, 6734065992, 0, 0, 0, 0, 0, 4621706760, 0, 8012310222, 0, -990388344, 0, 2986650138, 0, -4804918704, 0, -24724026528, 0, 6345622032, 0, -4622747976, 0, -1219316796, 0, 6495902634, 0, -2309849100, 0, 9100076346, 0, 0, 0, 0, 0, -20838645792, 0, -3257476902, 0, 4959820584, 0, 29072884242, 0, 36097868604, 0, 3876530064, 0, -31859056152, 0, -15359266020, 0, -6054237984, 0, -24959053980, 0, -20043499392, 0, -3216394026, 0, 0, 0, 0, 0, 65627584728, 0, -51729864810, 0, -7769237012, 0, 15703608606, 0, -7486034808, 0, 91833247632, 0, -76931974344, 0, 13825965702, 0, 66211628232, 0, 14865498624, 0, 30550347300, 0, 35090353140, 0, 0, 0, 0, 0, -46014162144, 0, -58481191884, 0, -137762295408, 0, 106567727406, 0, 78155234724, 0, 71987350560, 0, -165077447408, 0, -46321088646, 0, 88756102764, 0, -40688435742, 0, 12009859632, 0, -72258725790, 0, 0, 0, 0, 0, 195199339356, 0, -132355987392, 0, 123377982960, 0, 185242874856, 0, -45718929312, 0, -250575283728, 0, 32957772000, 0, -321303609342, 0, 108430452192, 0, 162991189026, 0, 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0, 105625333454772, 0, 15388416457992, 0, -11338512214828, 0, -605299855902, 0, 0, 0, 0, 0, -69782653798548, 0, -23482739497122, 0, -16117680093180, 0, 20939263589718, 0, -38386715166168, 0, 48044385318984, 0, -26683451750544, 0, 470740776072, 0, 90671344770288, 0, -35128693803948, 0, 42555691945692, 0, 24341712934176, 0, 0, 0, 0, 0, -22199503003056, 0, -15131825881734, 0, -75757689726888, 0, -35171814229398, 0, 9789016879908, 0, 37427394545460, 0, 82409829884040, 0, 18346160906652, 0, -73348742356020, 0, 19232853262044, 0, 13650407415144, 0, -42231424726842, 0, 0, 0, 0, 0, 16986492839520, 0, 64622056946562, 0, 55369765353516, 0, -35325522308250, 0, -13621482325672, 0, 79838510869152, 0, -2527405515888, 0, -5990694432588, 0, -90621018765972, 0, -11825536273218, 0, -68585732925804, 0, 59029207435566, 0, 0, 0, 0, 0, -17407434967680, 0, 50829509966664, 0, 123046113760032, 0, -110821423856574, 0, 10324540056252, 0, 2632319707164, 0, 35274483598248, 0, 71958598940970, 0, -15064876690596, 0, -66823385363718, 0, -77177835762372, 0, 80774485489068, 0, 0, 0, 0, 0, 48227079783960, 0, 88166184259830, 0, 11990300410992, 0, -258387786653136, 0, 6232905641496, 0, -105969013317300, 0, -27281909697992, 0, 80382048101814, 0, -218448466820820, 0, -113418510493512, 0, -65406139426032, 0, 46569570170202, 0, 0, 0, 0, 0, 160016614878096, 0, 178733138175846, 0], 'weight': 10, 'weight_parity': 1}
• label 112.10.p.c does not appear in mf_hecke_nf
• 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': 11200, 'analytic_conductor': 57.68401365035379, 'char_conductor': 28, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 6, 'char_parity': 1, 'char_values': [112, 6, [15, 85, 17], [3, 6, 1]], 'conrey_index': 31, 'cusp_dim': 276, 'dim': 72, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_orbit_code': 1030959923312, 'hecke_orbit_dims': [24, 24, 24], 'label': '112.10.p', 'level': 112, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 300, 'mf_new_dim': 72, 'num_forms': 3, 'prim_orbit_index': 6, 'relative_dim': 36, 'sturm_bound': 160, 'trace_bound': 3, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, -236196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2989212, 0, 0, 0, 15206328, 0, 0, 0, -11633496, 0, 0, 0, -11550276, 0, 0, 0, 9715356, 0, 0, 0, 0, 0, 0, 0, 62122500, 0, 0, 0, -44946912, 0, 0, 0, 31032876, 0, 0, 0, 108220152, 0, 0, 0, -495848700, 0, 0, 0, 706009236, 0, 0, 0, 0, 0, 0, 0, -332774892, 0, 0, 0, 1667263056, 0, 0, 0, -1139476920, 0, 0, 0, -99660552, 0, 0, 0, 2320179516, 0, 0, 0, -2347831068, 0, 0, 0, 0, 0, 0, 0, 7012922112, 0, 0, 0, -2760579564, 0, 0, 0, 2307857976, 0, 0, 0, -10324186488, 0, 0, 0, -7661253456, 0, 0, 0, 9535346340, 0, 0, 0, 0, 0, 0, 0, 17060425632, 0, 0, 0, 10827747516, 0, 0, 0, -5558693808, 0, 0, 0, -9020750856, 0, 0, 0, -1970215236, 0, 0, 0, -826779984, 0, 0, 0, 0, 0, 0, 0, -59431940604, 0, 0, 0, -24188789328, 0, 0, 0, 63606186672, 0, 0, 0, -27086280456, 0, 0, 0, -12206102004, 0, 0, 0, -72724396584, 0, 0, 0, 0, 0, 0, 0, 208466450568, 0, 0, 0, 72648678876, 0, 0, 0, -44402782176, 0, 0, 0, -130609517832, 0, 0, 0, -6067959336, 0, 0, 0, 41745081684, 0, 0, 0, 0, 0, 0, 0, -179702541576, 0, 0, 0, -213269779008, 0, 0, 0, 245076581628, 0, 0, 0, -13120335216, 0, 0, 0, -97138684080, 0, 0, 0, -129887724720, 0, 0, 0, 0, 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0, 0, -2103874883544, 0, 0, 0, -3601887851520, 0, 0, 0, 1498160358732, 0, 0, 0, 0, 0, 0, 0, 7766356398948, 0, 0, 0, 4784615543292, 0, 0, 0, -3618835938480, 0, 0, 0, -2193008723160, 0, 0, 0, 3658629842532, 0, 0, 0, 1800019959972, 0, 0, 0, 0, 0, 0, 0, -6345566570376, 0, 0, 0, -5606120103972, 0, 0, 0, 5842733570424, 0, 0, 0, 3580154974392, 0, 0, 0, -1873091436300, 0, 0, 0, -3065756042028, 0, 0, 0, 0, 0, 0, 0, 3107492777484, 0, 0, 0, 9869326280664, 0, 0, 0, -7291513698852, 0, 0, 0, 703530195576, 0, 0, 0, 6006887303184, 0, 0, 0, 906279437304, 0, 0, 0, 0, 0, 0, 0, -19166410486692, 0, 0, 0, -10509127412448, 0, 0, 0, 6299946878340, 0, 0, 0, 9083984298672, 0, 0, 0, 2532048201684, 0, 0, 0, -3466187609064, 0, 0, 0, 0, 0, 0, 0, 27219431350404, 0, 0, 0, 3304436501664, 0, 0, 0, -6049100648448, 0, 0, 0, -7316668833312, 0, 0, 0, -8588293296516, 0, 0, 0, 10883632173372, 0, 0, 0, 0, 0, 0, 0, -6301308446316, 0, 0, 0, -11141511362976, 0, 0, 0, 11963211689808, 0, 0, 0, -5881490707728, 0, 0, 0, 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0, 0, -111137729790912, 0, 0, 0, 0, 0, 0, 0, -124651659527676, 0, 0, 0, 169047337960272, 0, 0, 0, 99144589584516, 0, 0, 0, 35885353713864, 0, 0, 0, 348425053427196, 0, 0, 0, -113216195550180, 0, 0, 0, 0, 0, 0, 0, -176563405573632, 0, 0, 0, -80274021991728, 0, 0, 0, 20166340179360, 0, 0, 0, -409077320116104, 0, 0, 0, -202725573544764, 0, 0, 0, 101659097614608, 0, 0, 0, 0, 0, 0, 0, 307546555316796, 0, 0, 0], '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: 98777
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 16, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '112.10.p.c', 'source_level': 112, 'target_char_orbit': 16, 'target_dim': 24, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '112.10.p.a', 'target_level': 112, 'twist_class_label': '112.10.p.a', 'twist_class_level': 112, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 98778
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 16, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '112.10.p.c', 'source_level': 112, 'target_char_orbit': 16, 'target_dim': 24, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '112.10.p.a', 'target_level': 112, 'twist_class_label': '112.10.p.a', 'twist_class_level': 112, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 10}
  • id: 98779
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 16, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '112.10.p.c', 'source_level': 112, 'target_char_orbit': 16, 'target_dim': 24, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '112.10.p.c', 'target_level': 112, 'twist_class_label': '112.10.p.a', 'twist_class_level': 112, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 10}
  • id: 98780
    {'conductor': 28, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 16, 'source_dim': 24, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '112.10.p.c', 'source_level': 112, 'target_char_orbit': 16, 'target_dim': 24, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '112.10.p.c', 'target_level': 112, 'twist_class_label': '112.10.p.a', 'twist_class_level': 112, 'twisting_char_label': '28.f', 'twisting_char_orbit': 6, 'weight': 10}
• hecke_orbit_code 9008230214664304 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': 16, 'hecke_orbit': 3, 'label': '112.10.p.c', 'level': 112, 'portrait': 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Gydidkw1Wd2KmLjVMTWDZbtGxVXbfOoqBonTjd44iWffYdT9p9KyFSbd9/T5L13WypqisOnxjlxXnNuIWMuB/fRJcut1yzyT793lW3TY5xfGGdhNWR5zWNpTbDSzFheS2n2JK3WCq+caF917NSF15M1d2Zp6yvf873fHX/kI3/wWkPiz/T4C8/gJ88tAvzruXOnXvfAA5+Rm6ZW7676p/XuzROstCrEiWKt7bO4pt3FWctYaSUsr2XMrcGxZcHM9Br/4vuXuW1PlTPzk5xfqHF+STO/bJlbSjm7mLHQThmf7PO66zrccSX4skKgAuZXQi4saeZWBN0I0tQQ+oZamDExlmKAU3MprQ7s2OBRq0RYK0D4dHqG7Rsjltc0WCdF1joQpWCxrDRjtsx6tHsKoSzCRDRCj+2b+qx1BafOazKjmWpI6qEg8CBNBd1IMrciubBsmV9NCYI+eCl3Xt3h7msEM40Ky6sNzswHnF+C+aWU+ZWUcytwbNlyy9VL/MvvX2XjeIPTc5PMLVdYXPVZWpOsNDNWmgnLzZRm1xKnggstyfZNi1y3a2N65c7xx9719m8zl+3a9pgQnZ9aXtnE9FTttYbJqz7+wgL8I3/wKTyt/YeeekROT27/3NLS2Xe0Wl3GJuf4jruXuW13lQtL4zTbFVbbPitNn+WmZqUFK82M1VbCStOB/PiyZGZmjZ/9wXluuixgeW2Scwt15paDPOgyzC9nzK1mdOKUyKTs3tblysthZVVy1baIN9xgSFKFwPInT4QsNEO2TkacvKDodOpcf0XGQivl1HnYs01y5DzcuddgbEQ3CQl0TCPUPP5KhWolIVApcWbJMs3tV/U4djZgz46EE+dhabXG9VdktPp9js0rtk1GrLRivvBYFSsUWZbxxhu77NpmmVvzuGlXn12bPdKkSrdX4cJSyNySYHE1Y2E1ZX7FcHpFMN+JuXHPMv/3X++waWKMs/PjzC9XWFzzWG7KwXlba2WsdAxrXcFiRzK3lnH71Rd4160pG8Y3Mj3pcfnu10cbd7zzlzfMTv2Tpx7/HLff9Z2vNWQu+fgLCfDHHv5N7ronUZ/9TO2fPfTs4Z+Yrcw3Xj6ughMXJK/Mw47NS/zSDy9ww+UV5lfGWW1VWWmGrLQ8Vpqa1TasNjNWWykr7ZSlJpxZFehKn7uuWeGDb4i5bLbGWqfBwkqFxRWfpaZgpekkwmrb0OoZWpGl20+ZaiRs32AAQeBZzi54CBmwY1Zx2WbL5tku86sRLxypc/NuS7WyyktHJ6nXYuLYY2rC0OvDVdv7/MED4+zdlhJFlukxSZL1qIcBL5/sU/Fq3LgnZf/xmPllny1TAZdtgu0bY5RKOLsEvmcRwrJjQ8pEXdLuBXS6Hq2ux0pLsbIGy03DSjNjqZkx14Tlfsb2LR0++MYl7rpSE3oNLiw1WFoNWVrTrLQEq03DWjthtZ2x1rasdGC+I5lvGm7ZO8+//uEVts+Mc+zMBEfOaI6c17zjDRuzZrz3Zw825b/cVk2z73/fX3utoXPR4y8UwM+d2Y/UYUUkZ7c/+9y+D/Q65//VN55aZvNszMpKyBMv+ZxZlZxsZtxw2QK/9KNLXH95lcWVcZabVVZbDuSrLc1qC5ptw1o7ZbWdstKyzDcF5zsWRIf33tPkXbcZLt8UEsdVVpshax2fZlux2hG0u4J+ZIlTS5aBkpbAg0pgGW9YZicTtNfn2IWYF48GmLTGO26P0d4azx4YY+cm+NJTKfdcG7DQ7BFqRZolTE5AmnhoL2V5ucrrbmrxpcfrXLYJnjkS4VHl7bcZUtHjxWMZJ86GaOmzYUIzURNUAoHvC5SA1ECcWPoxtLuWtY6h3TWsdQ3LHUsvy9ixtcu77mjy3rtjMHWW18ZYWKmw3PRYaWlWm7DWzmh2UtbaGWsdy0oX5tqKhVbKLbvn+YUfXeLKbTUuLE8yt9jg0Zcki60OMw3FcryFXds3/V+bNl/zR7fduO10q9Xv3XDtta81lAaPvzAAby4epjG9yd+37+W/ceLkK782d+Z58cgLkVxcdYGZtdCPJK2+YK6jONdKuPWKBX7hh5e56YqQpbVxltdqrLYC1to+q23NWlvQbFuanYy1dkqzY1jtWBbaggtNw8R4l7fe0ubOK1N2bFA0Kh6tdkjgSUARpxJjBMZCtw8Iw0S9z5FzFmNj7n+mRtStcMUWn7uu65KYNR7aN86Nuz2OzHVorja447ouf/pswIZJy4FTlr/9nS0OnAzYMCn52j7FXVcpVrotjp+Z5MY9MQ+92CONqtx5tc+ubX16aYevPqsgExw7q2lUNVpAtycxVpAZS5IC0qB9Q7NjqdUTtm2KuPuqLm+9OWWqFjK/MsbyWoXVljs3qy1BswPNdkqzk9LsZDS7lpWuZK4tWGqn3L53kX/1w4tcf1nIwsoEK80q7W5AL7ZYa7EW5pYNL56omzfcfZ3dc8XVP5Gq6z9s0/PxbTfvfq0hBfwFAXgUGbmy1n3Phz/xuStu3t39xY995jlvvC7xRMDcckKvb+gnliS19GJo9gQLXcW5ZsadV83zcz+8yM27fNZaYyyu1ml2QtbaPmsdTbOtaHah3bG0uimtTkanZ2h2LYsdwWIHkizi+t09Nk5mdLqWd94RsXOjIc0kWlriBB58IeT0QsimiZSXjoVgqly5VXHTXkMQdnn2SJfFpRrX7KzRGF/l8f0et+4OWe6usbraYONGy1MHFN/z5g5PH9BsnfVY6jRZXZnkpqu6PP5SxmRlnGuu6LDQbPLUK+NUdI1b9lr2bO+D7PDCCcHsZML8YsJDL3j0E4WUkBnLzk0xb70jpt1RbJ4w3LQb4rjKSrPKSjNgrePR6iqaHUmrA61uRquT0e5mtLqGta5lpSc51xI0exF37Vnk//6hVW7eHTC3MkGzXaHVCej1NXGq6EeSTl9xYQmE7FCvpFSmb09ed738P6++/v1HkbUvSK3Ma42t17ySeWGxw0qz9f2txcf/3eKFo5NPrp3ibbdWOXS6QpbB1Jil62X0IkMvtihpEFiEyBBS8fThDfzUb2m+864VPvTmFS7bEjO33CDwK1QCn2rgUato2hVJvecxVtN0+xmdXsaGyNCLLO1+wMpiyNkzljg1nJtLCQILCHxl0VLQ7SkEHmlXc8NOwa7Nlu1bukRZmy8/rTh4dIK33Rxw01WrfPTLFl9U2bmly/7HFVvGFdONLqGqECceC22ohZqtGwTPH4y5aU+FN9y4xEfu6+F7dd5yu8ULunz9qZgvPVnjlRMVLt9cZeemjJmJmMumE67dmaGUQSsLWKpBwMx4QJx4tLs+Lx3x6PQ13Z6i05d0etDpWzpd993bvYxOz9LqWdZ6sNhVzK9aqmNN/s47FvmOuyKuu7zKhaUGzU6FVjeg03NV4V5f0Y0E7a6kH1usCdl3KGXn1ie8Gpv+3aELT668+223/W/Wtj8iRP1/XYBb2wXED332T576uZNHPz955+42p+bGqISSLTOWlZYENFIKpEpRyqCkQAqLlBYtM3wp2X9khucO1zhyfoHvvLvD3Vf3Ga83WGlWqbVCGj2fTlfTzi92r6/pRpp+ZOnHhjixJIklzdwRpz7WgFQCTwtCXzBeF0zUYeO0YeuGLtMTTb7yLDz8nIc0Y7ztZo8brmzz6CsJcb/BXTcImr0eC8s17txjmB7vUtEB/VSx2EpQRnDDHk21HrHvUMjrbxrjjuvb7DukwI5x89U+P/juFf70+ZivPV3jwOmQ7TOKjZMVJupVxupQCcDTFiXBWDhwQpBlgiQVxClECe47Ro4g+pGh2zd0I0OnB60IFjuShTZEps+9N67wnrub/LW3GNK0wdxSjVYnpN3z6fQ8Oj1FN5J0+5JuX9DpuRtmtZURR4aoG/KRL8xz+/V/Mrl3m/w3G3fcoxdXot+amQz+1wP44tIqK6v2B48cfuDnTh95ZPap/RndvRl3X9Om1RqjEhqSVIAVCKGQApTMUFKgpEEpi1YWTxkqnmCpW+HjD2zl68+1uOfaNb733jWuvazD1HiV5bUq7V5At+flwFbuiAVRIklSQZq6pd55t1xQqTWEPlQrhsl6wpbZLikdjpxL+MRDIcfP1BgPKtx6tebO61o8dbjJ/U80uH13yPZNXf7gAYESAY16wlonwlhQAmYaXVptH5NWeM89C3z8S1V2zYe86/YucbLMQy9OkWQht109y7tubbF7W5Ov7+uy/0yVF074bJ2UTDYE1UDge+4mlAKEsBgLxjg5l2aWOLFEibuR+zH0Ymj3BauRYKUNQve5ce8a3/vWNe65OmOqUWG1VaXZrtDOWbtYCRy4Bd1I0O1bev2MTi+lH2ekqeWZo4Y7r4vZMSn52Ke+NvuGN0Y/99Y3vsn2Omu/XamN/68B8H/1Sx/hb71/htNHHviBY6d7v/ilh/dN33vDeW7eM8vLp3yu3tFhrJLSjyVpKLBWghBIqZBKOJArkS/PBk9ZfG2paMFqX7HcnOCTD9Z48qUOd12/xve+ZY0bdzWZyiqkaUC3H9LpefQiTZwoklSSZpLMCIwVCCxSWALfUA1TAj/G9yLOLUfc94zk6FmfE2cnUCZg1yafqy5T3HxlCxUs8uKxOlvGq1xzOWycWWWl1eDaLZLUWL7ydEDUlYzXUt5+W58vPJRweq7O3is8Lqz1efm4x7YNE1x/2SKP7m/z+MuCKPa58rJJrtwWcOXWNscurHD0HDx9sMqR4zWqWhBoSS2whB5I6YIqa93NmmYQpxBngk4kaPUFrQRik2Jsn1t2t/jet7a459qMTZMB/f4Yy82Qdieg0/fp9jSdvnKyJBL0+pJe5PpGe1FGr5+vDLGlE8F4Da7YVOelo4oTC+e56cqvzX7+T1q/uNrz05//j1/46Lffuci1t//1v7wAP/zir7Dnup0odfKv+eL4f5ipXhifrgScXKxww66I2ckAT1TIrMX3DdXMxcBCyJy5FVoJtDZoleFpga8NvmcJPEvVzxgPBe3IY7U1wacfbvDAC302THT5wBubXLmtT7/X4ZrLLNs2KqLEI8sUmZHYAtzS4OmMU/OWE3OCtZ7h849WObc0gY09JkLF5inNjo2ay7fANbtaGLnEb3yhxsrKGLdfqblmV5OvvyAQqcfshKRWTekmPtJKsBKlfZp9wfyK4Gpb5Y03t3lsX4XN0z63XzPJ33z3Eh/+UpunD9Xo9D2W1+pctrnC3k1dbtvT5rte3+b8ygqffzRguRtw6oLHuXM+nhJIKREIjLVkBhJjyVLDxFTCdVd3iaKEK7dFvO+NEbNjisl6QJKEXFgM6fZ8upFb5XoDYEsH7kjQj3ArQZTlhwN3nLoVj1Ty6HOCxWbK1bsk+w9GvHz64em3vm7jf/i2O7Yl19ymP/bzv/ob/OO/+yN/+QB+35f/kL/34Q+JA8//h/e/8OLKb/7mp5eru3b0+Y67YybqGili6qHBWJeWC70MXJyHEKCkdOBW+bMWeDrD1wLfM4SepZJYqrFlLMyYqAi6saQd1zhxtsYvfGwSTIpIU26+rstlG2PSFIw1RScQUgikEmjP59BpnwNHQ2qhpu5LpquCmSnJ7KRm84xix6aMvTvWyMQyv/rZBqdOj3P7Ho8rd2b00jZPvBgwXvGYGrOM12OqFSeFjJE0+4qVjmW5mdHsVHjdNWs8c6DLwdOK8UbIbVeP88PvWeY/fQ72Ha3R6VnW2pr5lQYbp6vMTvTZMdXn/3h/l0a1yf4TcOiMxPMsSlmEcH4crGPzNIWdGzPuujYlSzySNMDaKv3YY27Jpxe5Fa0fq4F868WCfiTox461o9hp+Sg2RLHJJY+lHzsJlBpI+pZ2L6OfCB7bX6FeT3n369psCOLxT3/N/uanHppJ/9k/fNcnd2/5Xfv+933/Xx6AH3rud9hzQ6bS6Hfe+9DTnY9O6NPhm29u8NIZUN48OzaFtLohcaxJUkWSKmIJUjq54JjborXMgS3wPUXkSaLYEMQZUWKpJIYoMcSxpZFClBiiFOJU0E8kURaQZCEHj9Z44SBk1uKg7bSxJ8FXzvNRD+CaTdCowFhNMlFXTI1rZidh+8aITTNrJHaFX/3sGMeOj3HT5YrLt0p2bV3lGy+nzC+PcfNlkomGIfR7BDLAKkGaSYS1pFnMaidkftnjpisr3LCnzaP7QjZMCKphnZv2GP7Oe5f5D58zvHyuzlrHsNZWLK5qpsdrTDQqTDTGaFQTZmoJO26KCbwUT6colSGFCyYs7qZKEsXCYun8JoooyZ9jSZRIoljSjyVRLFyAGgui2DpQJ4Yocuc5ykHtfg79/BwnWS6HEsFaH64ZazNeMzz8QshLJ09X3/l6PvqRj33DfP3Y7s/+37/2qeyf/sT7vvUBfviF3yMIQnVw39r70u7cR+77+tlwcjzl2isW2b2jQ2rb1Kp9PK9Gp+vSXHGi0dqglHLBnrJopdDa4mmJ7wl3ETxB5CvixAE9SSxxmrmsSFo6MkgzS5YZMoPT24YBuN0KAVqC50GgBWEgqAaSWlUxVpVMjAlmJ1N2bOxSr63x2cdiHnpxkrWlBtdtV+zY5LF7W59MrPGVp6vUPM3MhKJe7fPiMXjluObabZZupLh+d8J1uyxzFzIWV316/SrvuLXNI/t7HDmnqFUkgd/g2ssN//IHlnnw5R5feHCa5ZZlx2zGalMz3lCM1TzqVY9axRIGhsA3BDpDKye1pHTXwFpcwcoIUiNJM0GaCpJUOmAmkihxmZc4EcSJJY4hSjLixBCXiCNKygf0E0GUuudeJminglbfYrIeFW+Nw+ckbav4jjdbaupUePBY9fcuD/Vfn1DVT/2bX/149o/+7oe+tQH+4LOhVDL6UChP/Ze1lbPhvTc2uO+Jce5/oU83ETx7wHDqfJv3vWmN6QkXuUexjxdneNrD0wbfU3ieJogVfS9nG08S+4I4Ee7iJIokhTiRLoOQDtN+aWbIMpddyPIKHHm2RAiBlKCkkz2+FgS+JAwktYqgUbWM1w0bJiNmJtqkdo1PPiL58JemmA1Drtsu2L7JY+dmw45Nq3z2CcvKSsiVGxUTDahXE+ZPShZWA/zLIEoEM2OS8XE4csKy2jLMLYXs3hny5pvb3PdwyFQdAt9HyXGu3SX4kXct4MkF/uTRCV45F7KhlTA7njJWU9QrimpFUgk0gQ+BB1o7UpACpCiBHHdjZwayTJBm5ECHJHNaOkkyRwqJIS6eE0OcQJQWWRmXgoxSQS8RdFNBO5V0Ukuvn1L323zorYt8250dbt7tCkJHTm7kvkcrrPUOhtfu7fzmlTv26Gro/yGOZ741Ad4+/2GStPUDH//8/C/f/8zZhgpSNk610TogFBWWogp/8liNB59bY35tkZ94b4upsYh+XKHdTfESH087Rve8jNjT+IkiSiSx50rpjnGEY6KcldIUkgyyzGUSjHEBlzG26OHMwe0ArpRAK4GnHUDCAKqhoV5JGa+nzIz3mJ5Y47GDMb93f4VDJ8bZOeaxayNs3eizdQPs3d6im7Z46kCDivKYmVCM12G8HjExluL7GiHczdWLfFZaCWtdS7OTsrDqs31jnTuuXOD+p7scOtegGiR4ykeIMXZtUXzfW5a4Ze8Cv3d/nadeGme5o5ltpIxXU6qhpBIqAk8QeBLPc7GKUuTpQ4dyi+thNYYB0NPM5KtbnlpMDWnmwJ0mEKd2eCQuK9NPHan00pyxU+j1M0zSY6ra5sffu8T//qEeFb/CarNBMxkjy2I2bWhz00yCtKcaLx8Mf3VVXOb/81/51If/xd//nydV/qcB/NCpJc4l6oeWT3785ybDM1MbJyZ46VTMS8ci0sRQ04INVcGSCmj1JvnlP9IcOLbCe17f4Q03tNg43afdrtCLAqLYI0g9Ik8TJC69F/sO4EkiiVO37CZpntPOyFN/5MwtMZYhuPPg1TE3aOUKJr5nCX1DJUyphykTjYhN0y3mm11+7fMeX3lmkpXVGlfMCLbPCrbM+mydFVy2uY/21/j4Q5rjZ2rs2SCZqEvGahlSRpxbtARaIgVYK4gTzY7ZFk+T0eoqVluW+ZUKe7aGfNcbm3zq6z4n5wM8nSCEh7E1klRy82Wr7PjuFl/Z1+UPvjLJsydrbJkQTNcyamFG6AsCT+B7Ek8LtMIFzlIMPBkWd5MZi8u0ZA7wBcjTzEk6B3aIM+d1iYviUSropeSMDb3YkHZjtk63eMNNa3z767u842aDos7CSo1Ot0IUS7ZvStgwLVhYmeLlowFPHTg99cY3T//iP/iR96if+Xvnf0uIzd86AG+12oSB9zc/9pkHfu6rDx2c/Z57l3jX3RPMTNQ4eEpxYSmh2bVk+YkWwqPVn+DjDwY8+GKLm/a2+O57nQtuajyg1w/oRT6B5xGnjtGLQClNFUkmSVNJkgnSVJJlgsyIodY2goEqsY65pQClXNbBUwbfMwR+RiVIqVcipsc79JIeX3/R8olvjPHUS+NM+B7XbrFsmpRsmPLZPCPZuiHm8i2r7D/Z4/OPzDCmNDNjgkZN0KgmNLsZX3oipO5bhHDftxdp3nNXxBefdJ6YZsewsKrZOlvnO+/u8NTBNgeO+NSCFCWFA7mp0o+d1v++NzfZs2mBjz/Y4vFXxjm9WmFjQzAWWqq+IdQG3wOtBEq6G1nm2ajCfmRyqWbMcIVLc6A7goAkEyRZDuxM0E+dHOlkuJgnjqlVunzwbSt86C0tbt5jmJ3w6HbrrLUrdKOAXuyyNGvtOucWPQ6dgKcPJRjdYdfk07MnD23+udmtbzGtZvt3GmN//mX9P1eAr7WWOH4qYbmZff/iuUd+af7kN6YW5yI+9nWfN9+wyO3XJgR+nW5PECWG1ECWA84TkpZX5WzL5/yTVZ7c3+FT17d535t7vP2uPpPjPnEUEKUeceKRJN4gI5BmijTLCzbZEODG5sxthp4yIWweVJo8M2PwvYzAT6gEMfVKj4wef7pP8rEHxnnpxBgiCdg5Ydk0bpkeV8xM+myclmyeSdi+scWZxTa//oUaaVRh61bBeF3TqEGjmiC8mFavxnjdIoTAWkhSyWSgSE1KO/FpdzNWW4pzixWuvrzOj37bGr/4hwGnFmtoleQ3hiZNQ/qxZONUwM1XtLju8g4vnzrHJ75R4f5nxznfrFALFHUfap4rgHkKtHTlfCFG3XUGsMbddJkRZBbSTLj8eSaI86xILxP0MuilljRNMUnEVNjjHfeu8YF729xzbcpYRRMnNVbWAqLYxVH92COKNFGsaXY0Lxy2PH8iYvuWFd5wgyBu+3zkE4/O3naX90vvftttqU3P/26r7zNW//ObjPvnDPAeGzdUvv38qcf/00OPfaExVuvzhhsaPPai4t//kc/OrQlZEpN13ZLpKahoiwC0sPhS0JY+nVSzEIf8yZM1Hnqpy21f6/B3/2qbq7a3mB1XNKqaOPGJU4801QOQZwXAjcRYibXkfZoFuEGKosxv0Dol8FM8FdPqJSy2En7lsyEnFibYd2Aca3ymKoLZacv0mGCqoZga99gwJdk4lbJlpsvU+Cpfec7w7CvjXLdVMFGX1KuSRtVQq8QILyIINFq5328tZJmkF2l6/YTUCNo9Q7tjWWl5zC03uHNvhzuuXuPjXwuprCi0TBwgrSbNfOLE9XhOj4fcsqvDLVd0ePoN5zm1KPm9+8dZWKtydjnAV5KaJ/ALGSZd4Dkg8kKq4Jg8tcLls40gyvL0n7GQpZAmSBWxeaLHdTvc9bj1qoxGRZOmNZptnyj28yyYR5TofKWVWGC8HvOW29e457YuV2zWnD4/y6MvBJxdmaNn/mTK9/hPb3n9Tas2637+zxOTf24A/6P7D7N981b1k7/w+1fMX3ilMR4ucvkmy44tisXVkG4/4PgJH60s4xXrUnLKiWGRM4wnIVSGqhb0dEA381iOq9z/7BiPvdKjFkT89Xc22TaVsmNzjzuvaaOFol7VCOHkiqtKOq+0tSXmxrrfI1wu15KCTHn5hOSZg5r7nqrz8uk6cVqlrhUzFctkzTJRtS4P3tBMjmmmxgUbJ1M2z/TYNLPKQy9F/MZ9s2wa18w0oFFTNGqCejWlEkQ8dljRjzVezYHKWkGcSkKtuHFPjydfHHfGp17GWstjaS1gfmmCH33XPGeXlnny+Rk8CYgEA6SpdgCKJZ2eZqIeMt6occeeLm+4rst3v2mRg2cMX3wq5KmDFQ4fr5EKTRQpuolCCYkQYl3gmdcErCE1FmsMnsgY82NCEu64qcNlm/psnU743rdHVHxFLdTESZVm24E6TZVbWVNFnCqSVJMkTj5aC5XAsHHKQ6kG88s1Dp8KOLnQZWI6Qoku2eoXG+eOHr5i296/pax9NhPilr84AH/quZfYs3Pc/+OvPvk3Lt+Q/XLQ7vLckQ1849k+kxMpM2FCo+KWSmOK7AW5PrR5Dlo4X0lmCTJBVQvqGfQzTS/TdLOQdjvjlz4+gU0TNsz0uXp7n6mxlPe9ucf22ZgkEbnellBi7qIaKqVBSMGnH6yw/1gNoTWnzlc5N18lrCjGAsF4zdIIDY0Q6hXBWFXRqCsm6pqpcZgeT9kw1WfLbIvMrvHpRxr0OjV2b7U0qop6VVKvGOphiufFfOXJkKgr8WZB5mBKUkmtonjHbT0efs7QiSSdXkarq1lra+aWq1x1WZ333dNi38tVTq3UUdIASa6XPZLMZZP6saTT1zQ7PvVKlVol4qqtfW7f2+fMQpOTF9bQXsYLxzWf+kYVoZQDt5CjF9EawIC1JHHGjg0pH3hzj+lGxt4dlg1TkKUeUVwnTT1W2x5pokiyYfEozVdS917mslFgjSDLYCmpkllBt6/ZsSni2r0rzIx7nDk/ySNPp+iK+uWw8XAX/8oPnz/7Qrx56w1/MQB+/MQZTp1Z2tNpnvi1WvI1+fobq0zUG+w/KriwnBJHFl+Dqrigr4jirQVtLKkCnVm8zGnAwFjCzJJmgthY4kwQGUmUSWLjkRhY7DT4xn6DJeOPn3IjG7AmP4oqXp4iE86RKIREKkWaaKTReFpSD+CyGUvNM1QDQzWAaiCoVST1ipNDY3XJRAOmxlJmJiI2z7TJWOVXPhPy6Iuz7JqCiWrO3lVJvZJSrcTUqj0qlSqBkiiZa3CcHEgSj35P0Isy2pGi0ze0e8a1zNV8zs6P8bqrI/7O++f5d5/SnF4LEMJgbYLJLEnqESeSfuRsrPWephb6VCsh1aBKGCTUKzE3747xvYRbd6d8771dtErzIpBBCDsqynNJZ4xECEngKcCnH2mWV7Xz7WRFzJMfqRw8J5kky4GdlGOhvCvK/duQWUHga8hm2X8wYP9R2H+iz4unnpE/+teCX7vyiviRTqf/0p8HNv+HAf78k7/H7HRUef7lw+/df+SgEDKhPtZkx2ZFp1+jFrqLmGXDXLQpondrXXUtg0y56D0rIvpMkBo7jOyN04fuEMRGklpJZjSJCfKMjB35bIMqpQAtRC6LIKxYQm0JVUbgQaAh9C2VQFDxJdWKpBpqB/CaYLxumGykTI1HzE522Dy7zG/cZ/iD+zewbVwxXTc0aop6VVGrQrWSUa8kXFg2HLsQEPq5GYnC6Sfox5rLNho2Tvdp9X16fZuzuGStralXQurVcb733gWOX5jjNz+/BS01FkNmMlJjSVJNFCt6sTNFdUNJta+pBB6VIKPZdjGG72V4OsPzMrR0jRJSunK+yA9nXRGAyIEoaJrcZWlcXJNlEmMkqRnGO2kmSgG+GLB2lklS4/zpplRJzfKsVqut6PR95pYyTs33CGtdrtgW88xz+8ShU+l7xyavOPbrH/1s78d+4L2vLcBfPjHmi+Ptfxy1lv/x/EIinz48xaMv9rhxV8JYaKlXNUoKksyQpZbM2FJqyvUUajUsPLh0lR3cEMPDDsvsuVPO5XLFIFAqa24gr+S5wEpLg5bkHnLwlMDT1uWNtSAMJKEvqQSKSqioVyT1qmWsljFeT5lsRExPdNm+YZmnDkd8/MHNTIQBG+qGRlU4cFcktdBQC1Pq1YinDsELB6tcMWNz3Tssm/cixa17Lbu393j6pXG6UeGv1jnIPaphhUo4zgdfv8ILhxd48sBGsApjMmeHTS1pYgd+kl6kqfYtlVAR+obA9wj8jEAbtM7wtLMYu8YRO/D6ICyCoZ4bBufOQmyKjJQp0q+lVGwBbCPyDEzxZ5TSte47Z5m7fmkGSSro9hwp3X5tj+t3J8w0qjz+spErC/P/7KodVX/jZdWfBeLXDODLK5GM487PPP7Qr/1vqT3jb51t4CnB3IrP3ALoWWeOCgPQmXAsbWwO7gLsYuS5OAnGDAFeMH5mbM76ZZljKVXeR1bcolRdFHSUzCuWCryBactV/wJfEQaKSiCoVgT1iqVRzRirpYzXI6bGemyeWeXJQz1+5iMbOH12nMunDeNVaFQUtYqiFkItzKiECb7Xp9l3RjFPWaQcfjJ3kSVJ6tOoJHRTQzf3WXf7Ge2upFlRVNsBYVBn58aEf/k3mvzzj0qeOLABi8JYQ5YZ0iwlTg1xoujHil4gqUSK0JcEviXwFYE2eJ7L92tlHcCVA7jKZYoQdrRBNy/t25xEbMHAVgyAbvI6w4Ct14F6AHQjMCVwuxy7O8JQsWF8nLU1waHjkvllw4EzZ/xY8MO1mv9vXjOAW7uAtas/e+CFP/37T70wF0amz7ffkXJ+cZxzCx7dvrv7Lc7qmqaCVFm0sWTGYLIhm5fBPiyr56DOwW2NdV3kuXYvH6wDeBHEigLcwoFbKZcu03krmqclgS/xPUUYuJEMlcBSCw31akajmjBWj5ls9Ng8s8aTB7v88w9Pc+j0JDsmXYalXpHUqtKxd8VSDTOqYUKSxfz+1+pIpfCkRYlhmtDYYin3+L63rfLVZ2PacUA3B3inp2h3FM1AE/oBgddg77aUf/WDy/zTDwsef2kDxkoy48rqSeqMZlFsiEJndw0CQegJAt9VNn1tBxVbrQxSueDetf+VAD4seQI5ieBqCS7bkgfyA9OauyZmhK0Zgrxg7qxYnXMLRepsAhY4dMqj18+4sJxwejXlXXevIVIz3Wxf/9nTF5aflFL+9NYNE//fAvzc6aMYY+/4/c/tq3zxqZildhUh1/hrb+5TDWc4vxjSi8j9IZCqfAnLcmmSOSYfMvXwfdF2NXg2OYtYOwhOKU78us9VALzwYBSVvIK9tS58JxLPk86/4btVphJYqkFGreLA3ajFjDd6zIw3eepgl5/5nUlePjXN1gnBVK0kTUJNLXT+lUqYUgliPC/i3PIEnnItdi4tNwwys0ySpopNE5Y0TWglIb3I0o8MvX5Guy+pdBWh7+F7IZ4e48qtKf/qby7y078NT74yS2akA3hmSdIsZ3JDFBjCWNL31UCCeR54mtyZKV0tYGBJBpE/XwLjTq6QF4UQg+LQANyFBDGjrwcrsCkAbkcsAWlqSFNLLzZcWDacWo55/9vW+OCbMpZXkuCVc6feevzUSSH+B4Y//HcB3Nr/DByofvXzR/yQjKs2hixVLU/vn2Sq2uG2PQmNqo8UkihxjOl0V3kJy4FdAN0OtflAhhSvB2xth8z9Kp9NiqGJSkqQUgzAreTQT+7kCYQeBL6hEloqgdPP1UpCoxozXusxPdHk2SN9/ulvTfDiqRk2jytmaoaxiqAeSqqholoRVEJ3c7hSf8yTBwSdvk+oinSo0+BFE0JmBEmqqYWKO69p89TLDbrJsB2s21O0A0XgK3zPz/XzOFdtM/z8Dy/wk/8VHj8wS2IkiTF5s/SwBzPyJYFvHHvn3hQvv7ndQS5ThjJO5lXeS4G8KArZAuAMq6DGCsoGLjOojpJLk6EkzQpgFw3eiaHbs0SJ4Z13pNy9t8Gx0yGLq5Jjp2IeO/Alf2bn9dV/8HN/2P33P/Xd//MBvrZ8iObannGZ/PKvb5hceP1tV0s2TlVZWJasdgKibpX5FYOnDIFftJs5cCsp8gzJcOky2oHdGi5i7wLQZgDsYVMwufYeXIz8PhcyB3duMlIDgIPKHYOeBt/DdQL5ucEqyKjk8qJeiRir95iot3j+aMQ//a0JXjg5y8ZxzUzVMFaBWiioVRTViqI6YO+MMEipV/s89ILPWjNkYmJYJi8AY/LsQpIpZqcU997Q4aFnjOuiiU0J5JLQk4SextM+WleQ0nDVNsvP/fACP/lfLY8fmiUxmiR3ADrbq2PyIJEDd6GvJVrnJiwpULo4Nww+X3ETFlJFFK40hgWh9YcpPZtSvDRcjYuEwehzuSk6NZaZcUkox3j6ZcVaGxZWM07Oxdhg6fVj0xd++9//kx/6sR9//x1rV+7Z9T8X4Gn/FNq78JOPPLb0of1HFrhlj+SWqyq0uzVanYA4lXlkLrAYRMGiSuS6yzF6efkaLG95ccYFkXY0kFzP3DnSi4rcQHvLwkE31N2FY1ArnD9DWzzPNRaHviH0MyphSjVMqIUR9WqfybEm+w5H/OP/Os3zxzcwO+4xW80Yq9oc3Dl7h5JK4Ng/DFKqQUxqItpxgFASr2DwgQYXObvlBrHEo+b3nV0gDpkoQN7P6PqOwQNf4mmNp4sNaC3X7rT84o/N84/+i+HxgxtIjCbKBHFmchYXhIkh8Cy+53pXdR53aOWuh5IyPz95V37xXDJmDW7McqyzDtwDEioRk/PegxmRonkquHAt5jZcF3RaXjqaEqUZzb6lFaXUG32u2rREaCY+9MWvP3ksSZKf/p/K4AePnKGvt+44+My/ve4bj3f4+r4tfPahHu++e43b9nbYusnDZhV6cUi7q5FC594HgcpZVb0KuG2+pA1PmCgxxbAqactrZsHa5aCyWG7zDh2VB1NaWzzlgO1rO3APhl6W6+aEShgx0egyVmvz5IGUn/qNaZ47voGZMc1MJXNpzxzcldClEwtwV4KM0E9p1GIOnLQ8uK+GLyWeMnkQN9SRxfKdZIrUaN54c8IVl3c4drrCTJVBr2M/yuj2cxbWCq09lLR50chyzQ74+R9Z4qf/q+GRl2foJxVXDEst1Rw8gYcDuS5WLzPobZUqG6xwSooSwEUJ5FykV4Ygt6MAL4G7+FlWYvNCkmZ5h1WSWqLUNVC0+4JOakltxPRkxFtv6vNtd4BmjGcOr/DKK/uu+4c/8WM7Os1zp2pjf/btVP7MAH9k3zztdHzn0f1P/PuXX+bb5xYFO2cUC2s1fv++Cl9/tsPmmR6vu7rFG65PsbZeAqYglRKZ6zGTFemmoW4bAXWh8cpZkouyJUXH/TpwC4tURVrQDlrevJy5fW3wPEPgGQI/JfRTwiCmGkZMjnVZbXd5+CX4+Y9tZP/RaaZzcI9XLPWKoBaKQa7cZV6MY2/fAbwSRMRZRr8XEip3k0khRpx8RSHFBZraaXkdEcWWXiJKADf4fobvaTxPopVCSW8AcARcf5ng539slV/6w5THD05xvtmgX5OMZ5Z6agnziQOBZ/Pcf5FJsQP2LqRKAfDB580/dBnnA4WYX5ThympLmrwM9iITVsqYFQDP47JOJFjswt23rHL31V12TGm2TFVZXG1wZsXHEymTtc63nzj2SHbZrmv/gbWnTgrxZ9vA9s8M8MAeQqeV223vhfduqB1k8sYxzi8IlpqGbasZ55bHeOy5Gp1Om5t3ux0OlLR42gASKU2uwQWZKnS2SwtaUxRsRqXIxaw9qgqLi+DGPRTsbXN5YkvDgZwt1tMmHzORDcAd+Dm4Jzssrvb4ud+v8vknZljqTDAzJpkJc3CHTndX88CyEkiqgc0Z3GnvMIiBmAee91lNfKYCRvzYiNEVKstc80Mj0Lz5pi5PHoppJwFjiXFd7LHBj5xX3dcO4FpZlPQQ0hVosHDlNsm/+7stvvhkj5/9nQ2cXZqgN64Z9wX11FBNIUjc6GVfuYFGXhFoSjEIgovncqBevjGFGPSKDFl8QESla1dKDAySByWQp3lWJc3sICarVA1vv9lw6+XjnLrQ4NmDAYurgpU1w7lFyVrnMKkef+89VH6/0+2d/HNl8H6vQxBWdz/33AN/7/mXnmPPljVu2tbj1IVJzi4ELKwoNk4brtiimRjzWFyJqYXkXTMO5NKIAcCLqNuWn0c0txhl7bIsyU90wSxFubnIAqgC4Mqipc1nqDhwezrD9zJ8LyX0EwI/oV7poXWXh17I+O0vNbjv0Vli02C2IZgOnSxxKcAiT67yQ+TMXWbvBK0jHntlnG6s2VQtPs96Bi+kmSRJFaGnuOOqHqlxAO8lgn4y7FzvR8YFh1rkLO7Oq8iL6xbB9LjgQ2/qUA/O8ztf6vHwK1PMJRW6oaSRWmraOpDrPA5RNo9LbA7y4hyKoXdcgmTI4iWVNZJdKVrhLg5Eh7aMciCa5Vo9y/+RimeZqkhOnNzA2pLPWhvW2oal1YSzS4YTSylXbOlx9vQ+lvfu/Xt33v6G53q97pFKpfo/DvDDR0+zfO7LVKpjmzsrx95w5Jjhkecb3LC3zQfedI6NUxMcP99gpekRxVAJJHEMXm7q0dJipUAVwLZiyNhmqK+LUvuoLCmlHsrpK2HXSZOiKke+UjCYfFUwt6ecFyPwEnw/IfRiqtU+vt/lY/drfuF3Zzm2OIkXhGysCyaDjEZgqQVQyzvsK4GrdoZ5Qcj5V7J8JXDyZKmV0Yl9fKXwpR0EmJS+SmEvKLwbcepR8fpsHO+x1q3TS0Q+bs3FCp6X5Wk+lac7lQP4SODqnI/ffk+HW69e5Od/r88ffGWGlbRGN/CoeZKGdh6cQIOvGDRD6KLok698ciBVhgWgMqmMipVLsXmpQFS8NnY041KqZ/gehBqOnYbQT4gTy0o749gcRPT4wNva3LLL5+TZlIeeOPqGAyft5tW15pG15TOMT237HwO4MQZTu3fni8de/I0HntjPts2WJKnwxUcCzq2s8p7bVti11TAX1ulFOh97luU22CKvagedNQY3b3DI3IUkKYO7ZHUtPQR2yCZ59U2WAS7d9Fk5wtxZDvIUXztJEvgRgdfj5HzKb36xxucemeL4/ASNqsdkCBNBRj2weem9ALfMwS0HRaEw196B726cRi3is49pjpyqECrhKoZFBoUhygdjHKzT4UmquXIHvPvWNr/95Sk6VU0jsfQTSxDncYMyaC3zsXWUQO6VaNWtCtunJT/1PV2uu+ws//W+SY7PjbGSVuh6mpoSVHOg+9K6GyfPMg1Wv+K8FulDnD4fVjrtxXnyYqXNmXx4XYegxo6mFYeEBVFiWW6mSAm9CM6vwbbtLd5ze4fbdjd48fgEZ5b7TE48x21X7f2NK3e//p2tduu/KVW+KcCt7QMBB17Zt/Xc6WO7zp61CAIm6oqrNhsOHJym5s2zd1uHqXFNt+dhKfodzUA+DOCZa08GAaUonQQxYIEhKxS0bUd0YAFs95ybhnJwu6xJwd4Znk5d545OCYIIX0e0s5hf+6TP73xxI+eWxzGqwuSYYtK3jPmGas7c1UH5XuY+lVya5LnzAbh9V72MkpgjZwM6ccBEkGdxiqJTkZUoqrC25ElJNI2a5rKtMSro047r9HxBJR+y4+fyysslii6yHkK9SvCqmBnr8qPf3uW9b5zjd77Y4jc/PcVSr0ZPh4RaUdWCirIEqXVsLp1U0XJobyiqnBcxOaNyZQDuS7H5pQBeqkwKhoFnlDiZ2okEiU14+01dbtg5zcGTdVabmu0zgqgf8eKLR3dFSW3rLTffeLLZSRmrvTqMvynAT51dIgjqMxnik53VJ7x7b1W0Oj5rHcnsFGzfaEjsLAurbSbrGdVwqCZESUaALenqUVAPGDsH9KUrlLaUDrQDYI/IE5m75FTmAK4ztMrwvYTQj/G9mGY/5rH9ko/d3+DTj0zRz+r4vs+ULxj3DTXfUg0sVX8I7jCQBIEkyKWJKwzlmYkc4L7nKp8nLlgefrZKnHgENXtRgFk8BmXu3IoaJ27uy723tvn4n3Y4dLZGL3SjGSLP4qfgJQYvNijl5jQ6GSGHw30YroiZkaRGUg00G8Z7/KMPdrlqe8Qf3F/nmQNjLPZq9JWP52lCLahICGSeRi3Sq9K6eoKgBPJRz8p6c1aZ0QektR7opRugAHg5y2RxJqyN44K0P8k3nh2j1bV0egnNjqXZU7xy5hnvxptv+GSarN6Q9tuL/90MPjM2IZ944ejtn/nqQ2Ne0uTuaxKuucIjS2ustkK6fdfB0gg9pEwJg2Tk/y/AXXyVYf60BPbBFxYXffHhGbRIcEw+KCmbgd3T6W6LVpkDuMoGckTrhGYn4dGXBB/5coP7942x0qwjKyH1imLcszR8Q9WzVH1LxSdnbcfclUAS+orQF4Q+uUPP5OA2BJ7T30pHHD4L55qhK6zk+na0cDL0z7g+SAfy1EjiWLOhIdi9rceLp1O6iUeUz/j2Y9fe56lism5RqAG5rjNnxHudSZLM+cM/cG+Pt9+2ytefa/PRrzR45kCD5XaVpvTp+BpfCXwpCCSuh1NatCjimnxVFrntl4sZ/CL/yjogj2THcjIbxlWjtCYFdDqa+58U1CsRnQhWOpbExmycjblsS0Jr7gtjq2Pvvr0+ce2X+SbDg74pwFdWzwYbJqL/UklP1OYXp/m3n+hz495VXn/tIjdcrlCiQpzKQUBXaORXfYwAeQjoETkyctbK0sRSNug7WWJyzW3y2eEZfpHNkAmL7ZSHntV86dE6n394jIVWDRGGeHWPhoYxz3XyVDxy2QEVX+SHzC2nue72BUHB3gXAdYrvp4R+jLUJD+wLOHWhwvSkwJMm17Fi2OhbPg9maDvNMkUv8tixQXDvTV0+90RMJ/HoJYLQs/ipY/EosaVVSg2YDyFHZIo75LBRwbh8eyWI+MCberz11mX++JE2X3y0ykP76yw0q/SET8/XaE+hhcCTAk9KPGFzqWVRiJI0HE0fXuJSr7u+w9eDVKMtbo2LffxRZummEC1YhE64bneHe67tcfOuKkdOTPDU8+dr4RT/pdo7exXQ++8C+NGjB2h1Oqy2ulgR0FAB9z8+y1ef6fJ9b1/mx97TRMuAfqTzIHHoWygD1l7itR38Z1STDbBdDihLwBbC5OlAg8gBrnWGrxPCMKEfZRw6ByfPKz7xtTG+/EyDhdUaeCG64VFVkrpnqWtDxbNUPAg9B+7QczMJnc1Ulg6R/7nNQW4GIPc915527LzhxRMBeF6+zNtSiV6MoKCsS7NM5NkUN8752ssirt7a4eC5Kr1QUE0FQWKJFHlqz+TsXWRTiuV9qFUGefY8FWmMyqcPePRjj0ol4gfeEfGeO9f46rMd/uhPq5w8H3LwXJV4LSANNH2tkUq6cj6g8+eCyQfSZd21Wg/w8ve1+bUu+Lqsx9ffCMa6sXGB7vIj37bC9781QzHOyfOTIDPifo+jRw/jB998lsqrAjzunBFR1P97933h96crXkjUl2yfNTQqcGy+zu980UN55/jxd68yXg+IU513s8vhnWkv1tbDu3a0gFM+NYW0GWo+V9RwksS40Q8yIwjcJNU0y5hbhq99Q3PsbIUHn6pwbrXCsfM1CAJUVRNqRU1batq4LIJnCbQbHB945CAuDpkfKgc4uebOwe1lBJ5jb3djxZxYhAMnq3hyND04kCgM/eDD1FmeSTFFX6PH1Tt67J7t8tLxlG7qUU8EkQY/L2mrEsClFAgpR5i8AM7Q9CQGwWzRR5lkHpHn06jEfN/bIu65rsW51RYPPO1z/EzAV/dVOb8ckvU8jNQkvkJI6VaKvCtfkmtnGMqW0qVcn10Z1eY5wEt3gy3GPbvlDZOlNLwOP/JXVvjBtwc025s4cb7GSlMjREIcw2PPHJ7+7g9+39975fD8L169Z8Mlw7dXBfhvfeIh0iz70GNPzdVu2QVXbqux3NJ0upYNkxkPHZT86ocn2FBp8f3f3sLP/JFh8sVBUY4os3Xpo6xn7wLMo8xdkiIqwwsyksxy/IzgxeOKrz1V5aUTPq+cqNCK3OAZPB/V8AiUoKqgqg2VUh440IVPo7DNOl94kMsS31f4vsxvADvU3l7mKoue0/mhn2BNzPyKJLIBWkt8adGlNNs6Ah+APLOj/Y5x6iHQzEzGSNWnk3h0tXCZjmRoGNP5XkXDymM50S5LtlY5ZPLSYCQvU4PxE93IZ+NEzPYNCTdfHtGLe/z1E01eOunztSdDXjwRcvx0SJIqCBRWKhCSTJaqQQMxPWpecTKklA8s0/qA4UppJazz15qMIIv57r+yzD/4gT5nj83y+P4xVlqCTs+w0hRUq4ZbrzlWy1pf/1C3o37x/xWD/5vf/CrLnZZaOPeSSJKQLDVs2pwyM+Eie4Bbrl1jubnA5g0Z3b5B2ghPQbXuTrK1AmHcrECXAhSDJeqSQt2SpxTd/BJPWxAGIS1JbOn2HaOfPCv5w/sDuoni+VdCjp4JWOr4RJkP2gfloRoKXwoqCqrKEircODOVG4+UY23fE67oUQa3J/FzWRL4EPjkWRNXMnfTbtO8IppQCWMWVjO+9nidZjtgYkyg81x8Yfq6pEYtPDcDLS6JIsX0lOLtd/b56jM9Tjdr9DzpZIoGL7V4SZGzznPsMnPpQsqzTuTgdxirS7/DAd3PFJlWpF4+9iHxXCrVS6j5Cfdcm3LHVRHf+YY+h89IXjjg0YsVf/C1KifmPBCSbk+Txaqwb2J1AfDh3TyC5wHAzfCCG4tIcfug4pacSjXFCzO0Tbkwb/jl36uyMO8Rd1MEbjR2lsEVdQ2Z5dyZw+L2W65S3YXPpNXZ7/qzAVwKCCuNX6tWVq//W98x70b0Blk+Qkzg64zJ6RW+8VyPn/3dMZq/7vZwv2lPxAfe0idLnWtsZtxw47Up1dDlh755Z4YYDOdpdgUv7NcstySVUPLUAY8vPBLSTxT9RHFhzscITWI9jPBAa0Sg0VLiK0EoLWEO7EBZAmWdB1znOV89ZG6/6MscgFvlPZpiwN6+Z/D9wqCVDdjb9xOUivnGc4rPPVFH+dql20b096szeJELz7Ii46Ho9z3ec1ePzz/W4g8eGKOThtRyHe4VOjwpijJ20C0khBwAzP0qWdL6JYCbfF6JdkzuaUWqNTrNHNBVhlJukP5EmHLX3pQ79yZYEfG+N3XpJ26c2588EvD0AZ9KIFhqKV54yafVlblKehUSG8De5btrgeHGG2Kmx93UBZMZ3v+WPjftTgFLqyP4N38wxdefhvp4SqDc7SGF5fiK5bEDKd/7rub1b2nUf80YfvTPxOCn57ps2VBpfPQTn9v72IlMLS9DJ4UkMWRZSmYyJAbP93j85VlOnA9zVjYcPmP4woMGbIbNLGMTGbdfn29NMqjNvjrAybMOax3FMy/6tJoKqaWbiWK1YyahcXOBNUiNlBJPCgdmaQmkwc+nZvkKfDWc0edALoYND9o1AhSNx2VwO4bPbbVeweBZ6UgJdIK1MeeWfOIoJBiT+HnZW+WuvJEqZs5iw5y1KIFckhk3HWqirtg2HeOLPr00oJcKKtoNwSw8JEVBS8myvVUOfpf7HTIv/pjSEHyTd1UNpVGaZnndQLkCmUpJ0gyVuFqCVhlSpmydNvmKYbhqe5/Y9pDa0GwKnnlRs9Z1zS3rcryXBLkxDuC3X58yPmGxqfu8oXTWamvdKvSvf6zJ42+MEZ4HSEwqXAwR+cR9yY4NvjpyKt17023vb1jbagnR+OYAn1tcZGFZ/WKvdehNezf0ePnENPNrbifcVgTN2M2MNsaSICAslhtDiqFpMrcMKUNrzXDhG+s01qviu7jrBVYITLHlArnnVKhhkCNlnsoqQJ2XnSX5xq1F3rj0rPNOekW+9R4DcLu2LoWfg9vXDCymjsFzFtcGP6+Oel5CECScWTL83ldroH08KYYB5kCeiIsYvFzpK4aEOrC5wTpx4vG9b+/xxw/1eGW+TifzqKZuU1rnArTDThxV1ASGwd7gXBYrhZElg1dxmIEXRmuFl7l5KV4OdCWHRTPnG89fC5MPDsrQwiJsxnTV8FfutiCzYeVaFPtnXArfuYQxAms8ssQB2hqZb59eJCsEs2OC77hLkGaaKPbo9X06/YC1dsj8csiT+zMWe8fedP11J38xTdMf/28y+B9+/j4M0r9m6jx7d2jG65rTc5aVVka7a/KdcQVrfUUrdpNHY+sskM4RmG/qlIvMzMvLGrYcRxfPpaVMCECWdJyjAiHloAVNCfCEKysHwrkFPene63y2oc4ZbmAk0pTmoJDvzDbsqh8CXA5kS+DbQUub75vS4JwUL2dvXydIGXNqTrDYChFaE0hG5MmgPF8yig3CqoFdgRF9nGaKOPWYakTs2Njj4FxEL9P0MwgygZdZvDTX4SmDzNKwhK5Ggr1CB7tJu0UDgihJI4PODJmSKF1sX67y2kaGVCZfKcwwNZuDXBS/G7MulVu2aNj1OTL3XCQiEHnHvsxnr8jBDW8ySZJ69GKPdiek2QlodTyaXc3ymuD0fMa5pZRuNsfxQ3/kp+nFBHoRwE+cOI+xglq0xkTVsHOzRYgxpsYMnZ5htZUxv5rirRk84ab8R0YQ51NJE6vIrBoa33NA22EZ8yLWHpZ+xYCFCoAMQC1cZkJLO/B4FK8HP8vJfmgFZdBg6yvhwD4Cbume/QLoRfCZg7vo/tFmIFE87fSp7yekJHzxsQrzixW8MYVf9nCUMyjruaykwQeDdUpFn37kJti+6+4Oj+3v00pDulpTSQ1xXk5XcmiIKgxnQhiGnUNFoCkGaUmXOsxnqljIlPud2ghSJdCZzHexc4W7NAf6sJhmBgU2KU2p8GZGinDDcv7FIB8CPL8B80GpxowWp0yeOo0STasTMr9c4cKyz0oTN6y0m3F6MWLTbMxEPWJ54TzZJeqZIwB/Yd+XCMLK6/Y9/ditLx2c4MwcTNYzNs+kGAtRLOj1FS8ey1hs2nw6rJsvGBhBat1UqtS6jp20mIzEMKJeX4ofCBPBSCFBAVoU/YyuZOzmmww1riqALd1+8sUohDKwB3NQFK4f8VIALwLOQnfrQpbYXG+Pesl9L8H3Yuaahn1HK6B9dC5PdMmgVFT7xDqEu6LY0D9djMUYVB0zRZJ43HRFxNR4j+ZqlW6qqCrwUvddVGbdkZQBjgP54BfJdU5NkdtW3ZQqowyZEXhGkClJpgyZEqQ5yMvmtcIOIQuQF6DOg10hLBKLkMOKdgHyiwpAuUwpp5MLK/UowJ1f3hjBuUXB/qMZ/X5GkrhJuLVAsGMqpN/XfOWpTbe+7u7Xve5PvvTuR7/tXW+7NMC17EAW/5XxxuqNN111gZ0bfIRQ+F5ePVSGZjfl+VMVVrpVZ7nUFlXMwMiXwMwW43hLvmCGJqsRZ2B+TxfLuWR4wdb7IArG0sXPcg94YfV0zcVFp4qTJWrQvTIEdtF869g719yagd4uUoKOsYfg9gbuxARBwn2PBDz2Uh0ZaHwp3PztgYNw2EY3dPytr2aWL2xxcRWZUfT6Hnde0+Pd97T5zfvqxFlAJ5OEmSVKyVeusuvP5HLOrLuhXo3JwWg5nCqWgztTznqRKuGql2ro9SmAXniAhCy5OUfYOy/WFfWMYh0XQ4TbwjZdBvmg8ipGZryPNyLQXR47GLLWCZBKIpAEGp4/nrJhssV1V07cuNbu/JU4SR69JIMfPnYOz2+8/fSR+77n6RfbPH88ZHoqQpgemXEf2vNgtafZd1APBtgXbVjl2YFlcJvBUmQvyd5gR5huBOg5GxZAFyUWd5bc4j05gzNowxph8bwbxlOj4HbjFNYxd96z6eftbZ4uGg7S0pEQk/BHDzTIbIAaVC/LAeawr7HIbIxocPIupkHzh3S9qlkRbGoEHh94c5ff/2LEmknoZSG9TOClDFhcSotMxcB05tKF69dqWUpNihLIBZnOG4JVDnJtUcbJlUxZVOYcjK56LAfW5IFUWefuHMoUhkC/RHKh7Ely8mTorjSDoZ/uHAZexh1X91C6xVpP4HkGgTtX1kimax6n55cga33Ph977tge/o3Xmq9XGtlGAB16M7/evSJPWriNnmhw9NcYrxyr0E0OcuZPjWFFS8yS1qusEweaMnU9/LdqRiq6VoiH1UgmUQi7K0skQYjRAG2jxdZqzyCKUZ3soJYZaPHfcjQy7yYGtlRhmUgbpQNdx7+Wrklf0cObMrUvsHXgx+45KjpwPscpDSYkvjZNUZZ9GSYCvz6IUx3Bojijlqx3Ik9Rj1+aEqy/v8MThCony6aWCUIKXWXQqnJwTeRdOmutwJHlryTpZJNYFt+U2suFAJq1MDu68nU3ZErgLL5B124YPGJyLA80BkV3KhCeGxcsReVKkTGUOfIhTSS1UvOHaCK0TlDT5VGLltktJFGutZZrt7q7WWnpFp5t99SIGX1lZJQz7nJ0TeLbOVVtUPl9D5oN63N9TwuVgRX7Siu7oNLOua16I4Whkvnnqu2yevxSLq4Hne5h2K9hcCeG658UQ3C7IFINucT0AtxwBeHn4j+u2ZwDsQbVywNwZvnaFHdcVlGBJ+NQDVZaXK4hAu7x7+SZc70EZXtORFGHRq1j2cQ9y00aRJJrpScn7722z72iDKAvpKp9K5rR4YWdVkhzcxVph8px4YczNpco6PT5s/B6d7psZiTLFimQHr2UOalVocFnsd2RHmFuWXg88RZe4/gMTVkmmFZYCt2OeHPTwrrQCtKwhZU6q+TTbKHYbAZi0T92LWVldIuoPzYUDgH/xi3+MkJJWs83mmRCtNd2e2498uJHqcCRAMXarH7s5HkNdbTEyb0l7FYAP7ux1QaYoA7rM4iPjxYaMLcsMrkSJxQu5IlF6FOC+zgcAecXWgXmFU1u8QSne5K+zkUMr17nzyin45P11IumjpMqrl6M34voKprjExYVSJqWUTTE5g6eZJsg0739bn498ucv+4xUS5dGVEj8zefZIIDNbOk/WtZeJct3B5L9rdN+iMpNnBvQghWjRWTFWwjgpNOjbLFoRxeCGTss6XJZ9REM3KK8G8vUAN/kOzImbed6PFP3E7cxsSnFElo+c6Ec4q4jQ6DOHaK6dx5ihRNMAT7x4jjuu3Vz96Z/7t5dpfZZrdxpMVmW15dGPBHHCgMUzA2nqur3b3QxEOhisaPKVKLP5IMdLebxLy1YRDElGAXGxRBED4KwfhyxLjF0EmcXUJq2LTV5z7a3Wgbso33tFY7JxM0MGLWJFT2eaHwnKizlyTtOOfVA6lyd2nT121EF4URalpIft+lx43o0zLPxoap5g75Y++4/EZCagZ3zCzHm2da7BlXCDdFxhqSAcN7KjDPIiNTfohzWgB4NN3c+UgUw6wKt8dwpphhMCiulaWdHdP0gADANMIfOsiuCbyJTihJQm1+aGsCR1M9TX2opWF/qx27uzmEqcGUhSN3FgtWPoZymvm+hy11Vjl93x+n9W/aEf/f6uELscwNdW53j42ebbtm3a/pNfvv8Evsq4fW9Co2qIYplvU8FgYn+SuXTh0qqgG2WDXLfMazUjMwXKL0t38QAAchQIQ2AP+xiHs/NyaVKa4+FAztAjrUqgHrzOizyKPBfuwO0APBwK5JXlSZm9Vd7X6cestA3/8TN1lnshIvCcPJF2ZFUZDs75bxSsC7mSjyO25WxKXrpPU02jqvmJ72rz9X0NliOfWGp6UuLnPZTDkQ85g+e+HvK0YWGjtZgc3AaLXJdZETmD20GQXoBdSZEzuJNE2SB7koN6IM3KWrz8fGnP+GhgNgx+i9U9TQXzK7C8mtCLM9J0OB0rzbe4iRJLbOCGK+HyGfC8nT/ZWn7u0Sjq/fGAwV85eBjPC7gwf4Y33djl9qs0k+N9Ai8jNZJOz226WpiCMuPKxUfOGl44puhGo/JDrWOs9aBmHbsVPy8Do7x56XpguyBzOH9QquH4MVUCtZYSnUsSPQB4obnNIKj0tBmA29OF/2KUvT2V4Psxn3jA4+VjFZAeUkqCwhpbusCDPeLzL/mqbsISmw92qijJlNS4lrM09bh2V5dvv6fFR74cYnRAT/oEUgyKPkoKElGMQL6YyUWZyQtnZykHbS0YBcq6VcFY4cBdTAkzkA3mp7gVQwzGL5ebwB17jzSHr5MpRZVzYL4bZFrceyUN1dCQmZTjzwuOnXEblBVSKjFux+VO3616gYbufsXqWkR1/DhKCuI4HkqUq3fEVEIJ/R77D65Sm7BMNJ1BSgC3X5Uy1cAl3TOF1pYLK4bffaDG4QtTjAeCwBvmrUfAXF6mKaqVRSODuEiaDEYfi+HAnEJ3/9kALocAVyUPtc59KR4DKeKpYbbEKw0HGmpux96edlOrVpuGP/lGnaVmAGGePRGlYOxVJArrJ1zbEsjXp+3sMFVmsiKboploKL7tTV0+/1if5U5ArDS9TObpSZFnb8SwGVsO07AFsAsDExbMgM2Hw5Z0kVlR+WuZv5eQKQbnXUlLJkUedIrhdINi1X0VgIuRm69MdiW5mgetgZ+yYbrL7dd3eezQOHPLAVqT701kmRpLuP3qCIEbBThRS9m5JWKpcznMVUhT9+31wtwhqrWpnaeOPfp3VHKeg8fHuP9ZNyIsziyZtdxzQ5/Z8Zg0ccPrPW05MR/wyP5xxpSi4Tu3WmElGWYQxEUXexhgikv+3SFriwGjl+fmDTrKS7O/yx0ubrg7o+AudjYomFuVmPsiBi/GTQxHTmjlKpcnTgoOnwoxBAipB825Q/dgOX4Y2g5EcZcz6kUZMrkoyRMxyGQM2s0yDVZz5Y6YXZv6LB+sYDPfsXjmZIouZXEuRSB5IygDGy2491aUgk9cgiAHejm2UcbdNEaSa++SdBRD4ikHucNxGcVnGQX3iITJb07UsOe24lu+8+6Y6cYcpxYUWrudJNJUMDNued11CVhHAJ4SnLxQ5RsvtLh1rP533njPvc+/8MrRkxqbYLLORmN4e6cds3m8Qa9rnTUTiAw8/mydJLNEmaWfubtdScG47/ZHV+uW5sLCub5UXdbdLrAcgrpYvgYnqvRvDJl7FNiDZ0U+CricBy8f+ZbWqgzuEsjz/eq93BpasLfK32udoFTCF5+oc2SpAv5Qnnil1OXFkmtUql1KppiLAk5RKnQMtXgcay6fjnnXnV2efqUKxiPNnBb3sry6m3EJLZzr8UGZKQe5tSWJUpIrMn8t81VFFoc7z1mu0WUB9ALcZhgHiNz7P5y+VcyPLK/exfXPbwRpHUEaMMLFeu2uj7XjvOn6PlJmWCtIi01mU02W6nzTWUU3Vaysahbn1zAme3u319+YpNlJfXJOMDEmeOIAfP4Jw+Yxwd6tAqyb2Rwnln4C/Vi459Tt1gBu57LCd62LSapSjNzZIxe9FDgONbgYAOEiYOeAFpcA9oDNlSg14ZbAnc8nHG7bwcXA1sMBQYMRb9rkIE+dPFEJlWrME4cUf/yNGr2+D1XtNq4Vo9JkfYBZjjUuCXDW6e91KcNyXjxJNWN1zXe+sc+XH+vy1CEfW/PoZQG+YHCjKVECkSj0bgHuIcjLDhEXfOY3mHJsnkmnx4102jwzw4DTDLS3GKQmR4kpv/5mKJmEEAhTpIHFCHtLOdoEAhKRKLCCJFW0u0Fec5FE8XDrxH4kiRNJnHeNBV7Mt71+hRuvbrNxImay0kdPNwzVSsYVmwR3Xxngex5aSdIUNwAytkRxRq9v6EZu94F+7Io7NmepwTSkok9wJEi8WGdTDijX/T0pyiAp9R0OTqAYHEqJ3JsyBPcQ5IVt1qL1cISyzjdh0moU6N6Ard2hlAswfT8miTO+/HiVV05XwfMQUuWgyuOO0gom5CiLXxRgF2qhYM28u8WWKpkO5HJYts7ThXGsuWp7yjvu7vDCyQpR6pNJj55R+BnrPkuRC2cdg7tnu+6zoIqbzWCUQBUDmqR7lnJY9RzEPhKkzRnY5AUfs15qvgrZUSKzPK0sB+fEYKzr75WJcsOAUpcT7/Q13Z6kGwl6ETk+Xa3G04o0naYyU0GElm5Xoj/+2S+QZpqJ6jL33r6GpyM63ZBW16fVUXT6il6k6PQsrU7GWjul1cmIErdcUUrplY3+UohLfLFLjOYVlwB4MUtkIEuG74fSpJQqHDB2AfDh5NSBRMmZ2zG2HTC1HjwPX3t5cKlVQuDHvHRK8NXHqnR7PtQ8pCicg5TSg5eoYg6W59F80rA31eYa2I5mU8oFn5IBK0486vWYd9wV8fmH+rxwPADt0zcSP9fiyoDKSgGeAJEBuRRwI10LsA+Bba1b+QbSRTo2L1aVQnMb6YCYmcLpKQbZlMwIRrJfogx4O1iJBwC3BdMPZY6R1n1v6XZ+EBQb50qaHc1KU9DsWLq9jF6U0YsMra6h1YdmZPBkn+nZbxC199Hrp+gvPjJHmknGKl2Obs+wMuLyTR1u2xPSj6q0uh5RLOlGipWm5PhZST82GGtReSFntOIo1t29o9tijOSIR26CoRwZ5MFlWaKIQXm+XM1UKncY5o5C186Vv9bl+eDrwJ0fXjGFNjf4a5W6Qyd4XkJqM+57tMLDL1XcCFTpGpq9koV3xBpbPspvXkWDj85DF4PdyIuMSmbkCNCjvscbru3yrtd1eflUSJp6WKHoCY2XMfhMIitJgZFb62ImH/5+i1IFczs2d+8F0ginw0v5/oLNpS3kSH5jlbT5RVkyMwxEpXU/M/nPlXRgN1KM7PpmjCBOJGttOHnekWwvyujHlnYfuqnhpqs77NxkUdZy295lZiZbJIlF37GnjhCCLAvodCssNiGJlrnnujY7N/foR5osE0SJ5JEXfc6vBJjUfXBd0s5CuI4bUWZveWlQy0u9LlhaiCEriBKDq6EmH5bpS4daB25VOvRwE9QC0F4J1EXmxGVM3LNSCb6X8PxJyScfqAM+SA8h1KCLSMlhgL0+zSnEkLELP+GIWXhgIy4zd0mDW4HJXOuem0KrBuV7azUfeHOPrz3e55ljbpJAYhTdTOSGrxxgWc7aJcVdVt7kLk8UI0Av/lTloDcy38+nlM4crNa2YOBSgS6vLUljRyToMFcuXCBaSKr8RjAFk1uLNCWdjjPEbZ1t8dKplKePekSJJDGCXiKZnTZcsx02jY0zt+Tz8rGAIFAYa9GzMx2SVDI73mfXxh5R7LNlNkN5PZ44YEkyV+Zu9yWfe6LBqVOaXRsUvlfSYaXUXvGFRkE9qqvXA6EA9ADc64o6BZMP/OFlkOetacPNptzODsMB+ENwj7B26blorC2kilIpnpeSZCkPPlXhxaMV8DyQLrj0xbCraMRaIEdXq1HyHoWWLb0YNECUPCIj7sJMYlSeUcl7E6/Z1ecNtzsW72WOxSPh0zduV+mBJMiGKbrcR1H6LMNd69anLpUEqyzSCpQlb0UUCOuIzFoxCu6CzYtzYhkAuVzdLLO6LIF9ELcZBmnG4nprZan4GTu3dPGqTTqJTztyXvUkExw8XeW/fH6MrZOKftznlr0ROzcp+rFFL68ZjIE4zjg11+PcSp9qmHBuucHThwKsUQRaIIXCph4b66XqohqCvEj1DEFqB2AtpwUpgX2gvQdariRPBiBf5yYsuQqLDaYK1i4DvHgeAXdpKP4ge6IylC4BPJcovk44ckHw0S/XiRIPql4uTxi0pqnyLsHlzEnB3t9MothRoJdlSmETXd/lMtTimlog+f53dLnv4RqHzrmbLzOKbqacyzDLiz8Ip78zMWguKa8ktgB6CeAu2HM3nMw1ujRuIwMhnT6XuWyRUiByqSEN6+RpOasiBn9HlJm8/HdNjqH837E5mwvhVo6VZo2rtmT89Pf0kTLC0ynGZjx9uMv5ZY9qAOfmQyZrY0yNKdLUondc98ENp08e/CcPP/E4J+bG6cdFzlhTVa6oo6XbEaBet1RDNwXKpd9KRZeCeQegFSO57tFsiihptHXMPigYlALWdSYrWfJ+qAF7l4Ati+ByFNzFbL+h3s5fSzPU3nlwGduUzz5Q4/kjFdfuIzRKuMqlzj3Y5ebiskyhxOLf9DGiwYepQptnUawxDtgjIJcYo4n7Hjft7vFdb+7wHz7m0zMajCYRkp5xMcJgmc+KGMGBvZxZKTIoRcCLtTl7u1VFWbB5tdRalzWxJXBLKxDl4LK4fqUAsljVzboVfbDamaLET/6Z3Z9n+XV2N57C4hMnk9QqKb7OSPMOo9t2ZXh7E7Q29Pop55dWufq6u//Jll17f0RvrpwaN+Ptd1Z1yt5NVapBXlEqr6EMg75yznmkcwUxmvKjJFsGQBeDNNqA3cuAL75kGTgjPnA7or0HQC9JElXS3mqw00NpIypl10mSwimYDcDt6YTD5yUf/3oVN3/Fsfegc7/4/YKRtrqBK3JdoCnKbwayZFT3FmarQek+DzRd4CkHLVwmU2Qq1+KZ5oP3dvncg1UOnPVAxlgh6WceGjGUAAJEsSFOVhR+CuYuSSdr8+GYbjZWcfPJ0vPgKGSIdb/DFCDPS/sjvqISs4+AnVLMNnht190EgkS6LRH7saTV0Sjpu8LQyGd3/2+lEtPttem/It75yunmuJ6p91GzGfdcVyWzAVkGceLmUqe5NdGa0e3iyo/R0uv695fee3F4M7yKuUpwkTSRwpaCy9LrAWPbAYurdeB2E1lN/uzSgUoZVJHvVilKpqicwTOV8oVHaxw4MtTeUkiX+x500KzLDpR09+j7ItAcIe7S69EG5JGceMkjrU1uJZXDEn6caK66IuI9r+tw7OMBcaZAaDKh6QmBznKdOwh0i4xKKU2IHYbAttDlAmWHjF58RlVecYQdlvhzyWGtGGREytfTjLD1unNmWPdn6/F0cfxCLqEG5qsM4sSQJJbMBLS7kiv2ekxOg45TRT+BoNrm2stbCBMyt1Kl2XGGc7e/vPODp6nz5Kam2OzTluRcaTD6JRj6opw3F+u0SwN8yNrF+wFr5yyupb2IxYdMPtTdqggiZUmayOHQfKUyPC/h+AXFf/5sg770KCZoDbvm8xWk7IEuS5JCl/w35Mmgajcok9tB+1a5CXeklavkT8mMJs08gizlx9/b4TMPVjl2XoNKcqni0RMCVciTXI8Pgs11IC9y8xbQxQ2H8yEqcqnAegY3TouLYSGoCG6NsaVsWCFPXs1cN5R28hKnz+Z59zTvRUjSfM/7zJCmln5iaHUMF9YsQsbs2hRTq8TU/Ay90vKYW/J4+hXNwbM9Xn/DCru3xyys1On2FHEiSTI3dLMfCbp96SqZ6XBH2yGbj6bIynpUXgTyS78ua25RYu1BA3IObgd6UwL7KIPrkfx2obMLJs9GD+lY3NMxrdjwm59vcG4hAKXz1KDM5YkdyXsPXpfYZiSDUmKjbyLDR1q3hlvviVLqsBjcMxyKk2WKTCqyVLNlJuKHv73Nz3/Up5m4qUfWSiKjXNowK3xBFjLBMG04BPnwv+5PVI6s8k2orM0rm+7Z4FjdiCHojSyBXLgsjLnk9R79ueDi82dL4E7SYUU9ijO3BXjqPFPdyDLXtOzY3uWN1ycEBMxOSKp1gd4wFVHVfVqLCY++PMGDqWHr2/psnu7SiyTWytwDoGh2NAurHraVM4ywpfG4o0tLAXDxKsdFwB6JvMsNxraUQRma7JUoA7qYjWJR2uQsPgS0kyOjgFf5kMniWasEHSR8+r6A3/hUg8h4Tp4INZAng6ZiOfp5R3R3IcFGIsxLQ7w87GuYKiyDvijZW7fbXanrvBgxkRpNqFN+9H0dDp/y+Z0vOC0OikxI+sb1bsqs+FxlA1ZxsYbCs5yutBYH6gLc1mU1VJ7VkLk8kQN5YkcDzpy5C8ALYTH5SRqs4BcR42iAbq1rcIgTQ6uTsrRmaHWdPyrNCbYXQ6UK917ns32myp8+a2kryYYZgTbGtQalWYV33qbYucmycSJhotHDYun0ho2gK60qzc4EmfGGH2QkiLzEnfgqP7sUi4/s6lUC9xDYBcDsKGvLdfJkwNYlJpdDd+Doc5rnvRNWVuEzX6+yGhXgdgD35HCyVlmejK46efRfwvMA1iV8l7X2QKrkfzDi6jNFS1nZSlvyiUuJMgpjNGmmGfMz3vuWLp97tMpyW4FMwCgSnB6XZaBdVPi5NJMXn1WVikKFP0Va6z6btAPnYXFOrB1mTKSwGLHOKpuvJqasuUvgLqYRlGlBSRcXnlnJWOkaEuNMf52+RFjBZCz58mM+OzZKQj9y8kRk6K2zEY2gRxqtoZRGBTHz7Q7NJKLdE3zxkZBuopBKE6gMlToPrueVctXivwHqbwrwElgGqaaSr6O0NXcZ8KoM8hGw5+CWNpcewwBzyNwFaw/Z26um3PeNkKderGBK2ts1NRTyZNRvIkuVtnL8MZITL0B0SRLP2bOUKixvg11uhhhpzLUSZYd58TTz0Cbljmtj3n1bl9/7og8qBiGxQhAZjRIClcO2IKSi4/0iTZ4Hccq6O3ZQxpdDGWWFwEg3gcxYl7Gxcgjw4hyMyJBBVqeosFKqVorBZynHb0U6ue4r9uzMuGJXFy9o4emEKIEvPBrS7bq9hTpGc3xZE8UpcixjY2bQn34oZH4x5PmXAupVTZR6dOMKUWbox5KjJ30Eklog2DQu2bsZNs9kaK3yTpqh8f2iPPBFusq+KtCHszVKsmRErjggOx1e2vhVWXQ+YkxKOwR3KVtSFHOUynItnoNcuuxJ4CUcOy356H115tq+2+9aukHvSjDcsWFdIHyx9BIjgP8m6mREf5dHSaxvRi4Hm7Zswsrc/jnu2W1/sqGW8QPv7vDoiwHH5iWIBFAYJH0hS5tIOWCNBprrbrgynxd7mNr8OiCwwiIGP3NSxdjSuZFFUMsIe5uR5ofheStuNkEudYRLR6Nc5dT3YOusYO8Oj9kpj1olRYqEN13ToR9L4iSg3a8QpRIlEvZe0Wd8vIfeOCGpCI3dXsPic37RcnYxY7ntZodcMeu212uEMF6DsZoctIcNvR+lCw5FjyvlzUMvzeR2nVSxl9DhRUGlvJuxLaUITYnFi9fZYGjkoKAzAHaKkhk6Twv6fkKUGX79Ew0e3ldxvW1SO+0tpevaEcP5K4NmguLzrf9+65i8DB2xDtyjFcyhy7CQAqP22bKN1gwGVRqjyDJDKjUq1bzh5pgf+UCLn/l1nyiVrhHVSNI8q1IUUtxncyAfToIFrGtJo/T5lHSpQsWQzQtmtUXVs2BcaV3asNDkOYAl5WrvunbFvI2N0usi7ahwM8czI1jtaI6cabCwGlKvJlSChJmxBE8bVpsBS8s1zi1Ken2fSq1CLw3Q3VSw0hN00pR335Fxcj7myJxmQ0MzWbNuS71838hqqKhWFJVQEeTVzMLNN/AaUFqa1wUNYmRJKjT8pUFeDi7d2LBCrgyH0GhpB93ebttsU9LfZgDygSzJZ1wPgkuZ4vkpDzzj8bmHq0SxBxU90N4D9h5IpIsrl+vToGX97Y5LNx2Xh30N7LODEvnQfGVV4TIc9YpnRiKNkyoF0NNUU6mmvPcNPe5/uMfXnlEubYgEIUmEpkcpFWcL4JU0uCxZeUurzDDYzP+OcKGpFU5GFYRk7WjDhdPTdihVGH0eaO0y6HFuw8yAzj0wOZWQZZpeJKl1PCphymorY6IRkZouD78kOH2hwptu7NKoRfheip5tOC/xhDXEpstX9glaXZ/LZwQTNQdqtz97sW+kJMjniig1DAjFpYA9GF1wiS9WHtW2bsvoi9OE5WDTDrMoAw1eANmUmLsE9NIw94H2lm5K7FrHct+jVQ5dCJ00Ec4SKwrtLShNkLIXgXsgWQbfrwzob6JPCnBbhgWVciGlLFXWFX7W+8WlVEiTIY0miTR7Nia8+54OTx3wacZ5+dU4PR6jKPaBGAX3xXLF5mnA4qsUzRkqb2mzeRlf5MC2hQQZnBen00evf5mphwQ48pwDXgo3OkIpQZoZklQ663bPYbISKOoVQ5JIdmzuc++dy/zul6Z45WSFrTsqJDZEn1+OmFuKeemgQeyvsLSguWqLZnpMUq+6/dnDQOTD4d0EKJ2n5gpQr59edfEHtiPgL7O3YDSwvJjF8+BS2UG5vpAkcjCYvQC5XQfunLVLzwW4PZ1iyPjdL1b4jc/WsUK7vPcIezPU3iOpwYuBzsh3LoH8m7D3iJOPdaAeMPnFrWzFkHhjDCaTGOny4koaksxDKsOPfmeXo+c9fuNzmiQdgtwgiIREmWKQRA7uS2lyK1wuEIbBZg70MsidBs+lSb6aFdVNMQg4xWAFL2Nj9JzZi85TQYTOVSjp6uGGBWEgaIaKVi+kF0+zeSrk+96a0u602bl5jbExD71nC0wF0L7g0+2HbNtrqYaSaijzvdnL05+Ggd5gzxfLwP22PlwZWa4H2usScuUiDW5LrF6SJWIoSYpZ1QNwq3XyRI7uWa/yvWecBk/w/ISjc5LPPVij0/Ggoi5m74Hne6i9ywWeke+y7jX8t4s8QwYvgR5KWlyMZE9s3nQwALos7YognRaXUpMkGfVayne+scuXH6lw9EKeCXAze8mEoJcX74UAUUSHtgTywoRl8sAzf2ul880g8mpnIVHEsMgjBQNNPjgH66QppXM0XC9Gz0tRSCxGcAuMmyCg5WCnDj+QVHzJwrJP7bxP6BuW1iIIJxgfH0MHfoVKELBlxjLesHh5SqSYE+J75argcDlKM5E3fEqyLL8Al7iAI8vO4P3oxKNy5C1EmbmHuruYaFpkS5QwQxYvS5Ty9t7FHjMyz5jkTK51SpQY7n+yxtefy92C0nMAX8feg1VDiGGAmV+oizw2Q+F9ad39aiBfD/TSYYzLOxcyxeZbkTjdbYYyxUgyIVGZxAhFEmnecmPMW+7oceZLHpFxOtwlrQUZmkjk7r0cYKKo4OSMbgtA5+X6wQ3p5HAOcCdzbG60cjJl1DQ1lCWjmBhUVMXFJ8TYfDOFFOLU+aJc+lHk2bB8a5p8QwOlXGpRa0vopWzZ6eH7IfrK3VesPf5s/OXnT6Tfcd3lK7z9VjkIDMq6t2BEBGSZpNUNWGsFtPuaBJmPG1gH7kt8+AHAoQSM0fG7F8mTkc9hBs9lmbJeb+vS/vVFKV5K16kj/ZSHnvH5hQ+PkVk9zJxIhRBysGVKwdSjDF4Cubw0e/8ZiphDZFPOoIyW7MtyxVBMvcrNWGKYURloculy48Jo0tTtL/SP/0aLQ2c1Dz0tMb7Iedht9BUbVTJf5R8ojwdQbjeI8hex2LzZgYE3xeYE4AZmDe0ZltL5Ke/yMLKqjS5xg09h86288zL8ckey1pckDn4U+5MNG2Cci0ZJeNutLW7emzA243+5MrZjTenqeOfcuflj1UD9yI7ZHnsvW8ML1gjCNp5uoWQHqTpo3UZ5HZTXw8o+ShriJKAXaYwdGtfLnTYjfu6Sx6RcmSyDuSi5l12CA3egGhZyymlBLS8dTA5lSVYq6Lhey7Mrgl/46BiPPldzm/JIP7fEemgpqEgIJPkmV6PNxRcfuXV4MCRndBiRytu9pFrXMC3K52NY0BDlm/sSjkq3o3aJEEoW0+GuC4X+tUxPpQTa8tR+n7WeXLfUyMEUcVkC+qAIc1Gdc/Ruta/ymlIVdPTGzcFLObYYzoYxpf8H3OrVimCxn9IzXWLbJxMxqUxIRUIiEvpZTC+NiExCP4XZMc2GiQb97tIPrMy/cEhv3igxVuGrBO2n/PaXAk7M10BY+lGGSVL3kZVEKInWGongmm2Cq7Z4CBRClCuNw+j4osB83WNUg5fn2w09JyMafLBPjB1IkZF0oLxEWrCwwuavMz/jo58f44+/UcOGCrc9odPfQsqRfkt9EXu/enpwZC/Mi77oxTnwS4GjvNNiOdAcnV+YB5n5/ECbM7e1ZuhRERJpFJnQyF7Ge9/U45XjHr/4W5o4SEcS9cZ6RLZoXMiTAVlBzUNNrkpLsJUOoUVKuFzssSPX0lH5N5VrZUtM6RwrCaEv2BRI7rkl4pqdbaRM8Lx0ULgDiOKAXi8EJKfm+7xyssKhswHjVed61Y+9ZN03ygQmrtPpORumsZaXzhkWWm6n4NCTVDyo+dAIQfUkgfXYOCWohtlgJIOSwyVpeOHESMZgRIsN5tddIsAspQTlQJqUsiclcEu5DuQyGxxy4DnJ+NrTAR/+Uo1+lk/Bl8WRVy2FHdHeI80XI2b8dRmh9e8v4rtXu8pi4Lke2FbLaULsRRZaK0upQlnKrAjljFnSkhmDEAZpNIFn+Bvv6vD4Cz5fe86lC4vceB660bfuSw+G0RaBpxmCfPBxcXGBMi5zUgSeUhTmq1IWhUsDvOzBsaVzKEU+U1IIqqFgdtLj+h0Ndm/1qFcjamFMGEQEfoxWGYurVQ6dnCYzmulaxhUbDdWqIfQTjAU9Uc0wFgIlqHsNKgFMjVl2bW3ya1+27DtQYSqEsdBQCx24x2qSqTGNEAqLyUvkbhsQt7V0USQo7+419BuXL3dxEuS6AFOIYUGn2H9muONXaUOkfM9GXWxYmjO3zBl7EGDqhG4EP/vbYxw/F2B1vluycL6TgfYuvC4FqFnH3Fwi3UkZ0OtE5TcR5OszT+uX9aH5qqzHL2HKkrnjUA5Z3AiFEYbMaGRsuHxLwv/1g00e/z8D2v38yxg5+OSZ1ESD7dat++Km+Px2eO2k21dowObFtV4H7pEU6vrsXzmQLlYuUehr90YrC8JtY3J2PqAfe0w0QhrVlFqYUK9GNGo9njoIv/15j90bFZNjPp6GLRt6TIxFpKlAb5jaSGYVFdXhsplFdm6JsHR54UTEmbkxZquW2YahURHUQkm9ImnUPMbrkrGaJfQzAj/fw11neRrRllqv8mVViJEvVQSg5c2LhoWeYheBUeZeD+7RrEk2wtrDw+nuNIP/9Ok6zx0MXc5bDos6iGKT2VFZosQoaw/MP5dgbvLVaNCaJ8qwFZd4PfzRiMPQDle8wdQr6zasGgG2HTL4IOg00oE8kxiRH1kuVYzhpisTfuKvNvn3nxgnzgoWFwN0pkYRAcNtswqgl1HqmpkHoJaO5YupwkWSxbrTMfQmMQroQVteSYNL4WI3m7fBRbGh3UvRTdfs0Y98OlVFvarpRhpjJZdtWmXHtgWeO9qAzGfblGDr5mkmJyv0IoN+73e8k1qtzgsvPseXv/YpNi/AC0cErxyfYDL02DBlGa8qalVJraKoVRT1qgP3WC2jXs2ohSmVIMXTLrAT5Ps+5jbbNMtLCmYYpP8/7b15uB1Xdeb927vmOuMddXU1z7Jky/OEB8BmHgIJhKSBNCE0HQLpJ8mXL1Mn6U7yJCEk3UkTQobuEAjgMBkw2MZgGxuPsi3bsrAkS7IGa56udKcz1bi/P3bVOXWuJGPAxCT91fOUztW5Z7inzlur3r3Wu95FFygFgGcUxShEbXmW7MlccPfoSh659S7zxaWbcM9jDp/8SpmZtqU7qLvgLmZOelXLomy3yMN71mxn8SAs5COK94g5gC7cnPGfYsqwn4efBdhKZupD1V8EErk7lIFUqdarxAYVN+V9b2vx5HaHux81wI8z8PYIcJxKOvQWmOpsIM/Dcv7BpOjmxucqKhU93XgR4ElKd6hCnNCdDmIYEBna1VhvCUpBFJt0QoNWYNLoSFodg05gMDog+bWfmmHrgQk2P+sxUmpx6aVXs2z5ZXTaM5iOZeHaDpZpcPCo5IlnalQ9ybr5irIrKHl6wpXvGfieoORB2UsoeykVP8b3Inw3wrWjLIKnWZ5cEkYmIjJ7l1aZnfbdS3sxCzA3793PuYsTdo1snHQ3ehd1Jn38O8YwY3buN/m7myvsOWVpCyxhFnbZi97FTM/ZFpXMidxFGOdgL1ydzsq6c5zMKez08t+ZX2E3uhf8C+fmyAtg7y4+05RU6ognUkkijGwxbyIjxfKBmF96e4P9x012HxEoswBwAQqLWEk6CkSak645IJc6VUmWHtQg14+UhXxLFtRJix87i9i6l1IQxNrQNUi0kNeSCtfMrLu7kxx003EQprQ7Bk1X0mwZzDQlU7MWZb/ESDnk7dd0eO5IDLgI4YKMMKVhoDColiRXrJUkkYmUWepPgm0JXFviOwrPTSm5KSUvoeRpLuS7Ib4XUPGDbECqBngU28w0PZJUQlyoDLwQcPeNqpsTueWcRWUxand5d4yUEbYTcXxG8CefqPC17/goq0BNRB69xRnR25iT8z6X3v1sRZ1+AVFfMD9bwO4Dex9tyfe80NPHw3NtSi+TomSxAKSvgDqa9/h4nKRYMuUtL28zE0h+668kJ6YFOBlNSfNobBGhv3+UyMZungnyJGt4MOaAHFSXwhcbQOZy8TiF2UAy0YZOqlAqxUDgGJKqC1UnpRIrgkjRydrVfDfBcySzLQPX1mV7KW2UsjEMn+kGDC/RaVmVCsw4MVDCPt4J7LsWzJv36sHyaSzLYXrWox0Y2eIxwXP07jsxvhfjuyFVP2Cg2kLIDqdmIw4dFmzcZlEtwcUrI0ZrAnC6cw9V8QrXpScFcIveiOgzwG30Ircs8G4pk96Cs8C9LTMmJOX2jSXuedzvaU2kke3F6E2hmbhQii/ezo3cBS5e/ExnBOxzfLnF+87g4PQW5EUeXlQayiybkpfvk1QgRN7ephecIpW9BaiQCGEQxymOkfKqy9q88WqHm75lEsbZQcjpihQoZRLmVU6ZgT8LSl3xdw74s0TyHOSqcAyKxy7/TIFKWDo+w6WrG9RLCY9udTl00uXotM+pWZuBsmTATamEWrbtdRK8fM1n6Yl67VAx2U5JheL8FfMpe+5dlZJzPI7amBeuX8Hdd35+f8Vz/qY+MPzqp7afYMl8wUjdpFrSIz1cO8kWkzFlP6RW7lDy2rSCDg9sUxw4afDtx+rsP+2xeZdHraS4bHWb977GYMGgQyc0szJroQhRBIw4c0FZBLeRR3ShekCXSYGH90rxUiYYZkQsUm693+PPP1nh8KkC7xZ5t46BzIJXd0paMWrPnZbQ530i+gDcoyuij5qciXdxBtDn4l5Tk7ncuyChzfoiVTdyQ5rqIa19i81Uz8lME4NUKJLUzK42iihMWTgY81u/MMNMR/L1B0tESXZmqx7QlTQIM5pCAeS9M/fcIBfoDEtOwfqCQhZQUgUrlgS8943TXLoqpF6J2fxshyOnFN/a5HD4pMdDO6ucmvCoOAZ1X1FzU3wr1dHbVNimIEEwPAQjtZAF84c4frrzN1+9noHjkAAAThFJREFU/d79b/vJd+gZPZt3R7iOYNtOxd49JUqux9hgxGCljedGuE6E54QMVALitMOpmYiHd8Btj/jcv6XCbOATNB08R7JyVOGaMHXK48ltJtFKg5KbjQgxFGSLUPqAnY2hLlKUYiqwyL+F6ovYMstzd0EuYywr4blTkk/eUmLXXgdKecQ2slViRk1kr1un3ym2MK+z70Q8c+8uxwqc/Aza0o1ivSzK2YCto3Y6p+AzZ7FJ7/95+V6KzI1WCESmVUkygCdSIRLNw6XKGiSESRwo1iyL+fm3NHh8q83+icKKOfd5ANIM5DqSg8gLQnkk7xY4sl5PpbmJfmxvfZEfz3xYr2UKRuqSC1aWGC6NcfRkzKmpiEXDIWsXdbh8dUgnPs19W2a4/VGfLfvKnJwqcXTSpl7R9ZiSpSjbinoJxsoWl6xosXTZJNXBSZJYT0YzAa68eB2u61H1YEntEBeummH+UJvBaoBtB5hGQDuMuO1Rg6f2WjyxfYDnJkqcnPFwpUnFFSwYSSnZCZ4NZRfqZQNDmkzNSoQQ+IJs4dg7KHOrmLI7zOjshR2ZLShld0HZn/eWQvdXTjYEf31ThfufyiyPc86dF3WERAo9osUUBV1DwfDRKID4jLQgZ1MT9kL3WReX52Yofd31fYvPYgoxpyypjoxdmiI0FxdKIpXSi06R0RWhkGnajeqJkICBECmJSKGV8vKLAv7Lu2b543+qMdUu8KycXyhBikGgNLi70sEsUS/yiF0AdTclqHp58vz7NoRulPEcjZE4tti212aoFlH2IqYbMa4TUfFDKl6Hn3xZh1dsaHLo9CybnrHZvMfl209WmJhysKWFbRoMthWzcUQQuowvP4/R+RtoZ9OO9ZS1FQsZHhm9O5785kfiRue3vvQAXL424Or1E9z5gMc3HqsQJiZ7D7k0Ow4oi7IlWFyFsqPwrQTXptv947uSasnEc6WuJ2Q2ZMWwJbKvrEgJig0NPZD39r6uHJl0Cz09ihLTkYp/uKXMJ75SppFkswP7siY6epsiL+oUaEkfYM+sXorsWzpDNdjFhaI3ru8FIl1lD+y6W+lLf1+6EArZk4IAq0tZCotQ6N6XZ1ak1LxcCCNbfBokQkGiKFsR739bgxOnJR+7qUq7m7QucnJI8xy5KHTlFxadc7m5UL29T4TXvUrq7FCrozg1Y5Ck0OoY2SLSptG08VwXz9FFnXULO6xbFPLTQYPdr20SpYo7HnO46wmfq86zuXiZZPtzJe56dPoj175i/d1Hj5wGMn+Xv/iL/4Fh29Hew+nK6Wn5phXzYjwv5MOfr3DrxlGOTFQ5PV3CwmHAMRgtw3BJMeArap6i4gsqvqTi6yaJcsmk4huUPYnnKBxLVzlNM29ImKMQ7DYrFDl2UTVYlL6q/iaGfDcihJ2ydY/Nn36qysGTTlaKz2Sw0tLXR6E9Bh0JjlTZpLRe9dKQvXRhrw+zKIoSfff1xFNnm+OZW0HnUyqKE+Ly5omsilv8f37lKNpR5Fe6PPPUbbwojOorCK+6V5nseXkEzc03uyenAtdKGKmnPLzN4sSEkZXyC5eo7MEKkWV5cyOhsxir0i8f7huIUDheZkZVdP9uPqpFEnXn1BuEsUEYm3QCi3ZgE8cupnAZqVmMDThctVZw+do2T+4sMXmqytolFZaMqps2P3H/xute8bpeBAf42be/Ecvy2Pfs3Rw6eA9ffnCQ5pTL2mGdkA/jFCl0V5djKhxL4NjgWBLHFtmtxHUMPEdmkVzh2ArLKjYpnNl+1p1xXjD0KRZ3uiX5brQuZlE07zbtlKf3WnzwI3W27nZQ3chd5N9aGNaVw86J3ufuuTx79bJ/PEmvOHKmEOX5Q7kqtKwVI3vX0q0bzXuRW6a6HzKvGIt8CoPQJ1Ie3UUqsgwK3Siu+bhBkiqESCFMOX9FxN/+1jTv/1Oh/dDt/qyKvtKYxErqkyfVUxhEmkd00U39iqxKmRU5SbJInlcttVMVBFGK7AggIUkMwkjQDrMWSUviOiZuljFxbRvH1hPwpFSEoZ6uVvNCfuLqDp+9e4p1lQu54prraLY6wO/1A9x26ni+z6GJGnc+NMqw47Fig8CxEp55LmaqocdfO5bo7VmPpm3lvZoSJ+sCcm2Fa6e4TtbmlkfvQhGnx7dVt3AjpRYJzW1aOGNhWSzFWzENBX//tRJbnnFIiunAXC2YleRNQbfX0ujuZ8uc9PQxZ6gHi9DtW3D2olj+qOdT0hUB3UfDVa6Ynyu+KhaCCmBXqpsbzxeZQuX5cEmiVDbhTCBSiRBSUxSMzMZBYSSKi9YGfOAtTX77f1k0YqHRoegHeiqIpejqVoRUeuGpVHcBKtDWxyKr8AilvQoTATJRxKI3fQ0SUqWI45QwMuhEEicQOLaB21G4WdB0ukBPsM2UyVmD7ftsbNOnXk553cVt1izzGB0dpNNpdY9rF+CjQwa2Y+255iJrbyn1lgdBzMhAyPYDERt32JiGQcXXHLvbfJyD2hbYlsCxNR1xLIVtp91WN9vsmc7n2m55RpQu7mn/wvIMDp5giCxjYie0Evjk18rcfE+JQOYl+Fxr0l+x1J06+fDW3uV9buQ+e8Tuz5IUW6/6wNyXMXmhS85CijBD/1xRUgq9SWRzJkIUU4ddJ6kM9GTlew1CEGle3cyzLQYkCltEvP2VLXYcMPnkLWWaEToSdFOEZDlyQxeCFH2gLkZwkRWiRKqfmoj8cfqTdvU1KURxQmimBGGKHUgsSze421kQdW2F6wg8W+J7klo5plaZ5fCkYMe+EgMlie1WSWuVvRfG9p6ZVtQ9pl2Z7598+K947WtevrcZlEeIj1/vu/s4PNXm8/dYNBsW8+qSaklS8U0qvknZN6mUDMq+oOxDxVdUPEXZS/DdFN9J8JwUx84B3hvf1/Mw6SkE+9vOVL+QKm81M5IM+NrXxDRjmrHin24v8aefqHFi0u6XwBZy3kIIbAmuVJnmew737rrVFqamzSnbi7Pwb1nk35nQyijw7XzixVk5eH6iFP9fuO39PHdiXaHBoY9GqW6g7fqLdLunCrfdk7focqXPsFol5ZJ1EbMtyfa9WRGou5AurKqF7J7CPaWlmPNQ0U/QCoK7JKMxuWNsnGiDzShzjY0iXaKPYl3Sj2LN0dMsZTkyELF4vMGe4xEHJmLWLl/AK69Y+vHDhw7845WXXXxmBAeYbplYlnfH4VPpmx/dWrpwz0GPkrBZtACtSck8UbRPiubXmiOlOFaadd33onV3MZRVLHP1YNGZqugzWCy/91cqCxLYjHNLI0G6CV//ZokPf6LK8SlLo1YUsyY5RdHl+D4DzTl8O8+gPJ9haLES16c1KQTp/ij+wkN3vxEn3VyhKuSa5+bBu6rDjI+n2USHrudfCkLILKLm0bsnbhNZy1qStRQLFFGoGKvH/O77Zjg9K/mXO8rgMieron9OpSRIxVmjdx6thczGAqV51lEQp4UTLPsuzFxybeo0om2lGRWWOI5mCx3HoBNKOqFFs1NnsFLi3a9ssud4QojasmjMu6PRbPcdWqP4n5s++xmWLlt8cGrWuDyNjIs3LBUsmmfi2hYV36RaNqiWyZSEKdVyQtVPqJZjqqWISimk7IeUvRDfiXDsuCvAKhpnFuWv54zcfbc92weZRXLTSdhzxOLPPlXlqR1u1jg8J2uSLS6NPGuSCap6e68drX/I1ZzR5FkUNQpRNc8OdCO5ACllxt2zaC2+dwTvvQa96Re5YrEYzfv+r8543FyHgt48JPJMH73O9n5Pxe7aOD8plaJaTfBcxSPftZicknkrZ/+Ds8xK2v2chSgu8mheWHhTFFpBJ5K0I0ErEnQiLbwKIwhiPWE7SiCKFFHmAx7FKWEMUSSZaQp2HxLsPWxS80sM161vHDiw5+Ove9N7+wDeF8EBLjx/GUJIThx/Gksc5ZHtwyweMqmXwXcTXCfFc1I8O8F1Y1xb744d4VjapdW2EqRALxpCi05gEcWmzoVDVrFMz+TcGQXJaUhe1JFnZExi9h41+W9/V+M7T3rg5ovIYtYks1/LIrfdBfccQRUFKWzOxwuX3eL9he+1cLXu/wK/n8D9fBFd3xaUhFkE1zy81/ggVS9iy6z7pxtBRVZ/QFc5SWXGzWU2T76X3hAoEqHN2RIUogOvvDjgj35pmt//uzr7jqErY3lGpSvOskhSQQBIsiFS+fvnRb0sP66y45goCBLBbChpxYoo0sfftiS2IfBNhW/p3bVUlrDIkhZ2StNJqJdNlsxvs3FHG9MbYd78RaTdToznAfhFl7wcwzTDT3/+NNMnmiwfNRkfian42kbCsVI8J8LLlYRuiO8GBFFInEQII+Ybj1o0OpLXXRHhWj5JUiVOjC4YugrCOcrAnlow49rFIk52a1kx+08a/Pd/qHLz3T6hzLrihdkP8iw1ZsoiNSlEZNEfHXtpwrkTGzjLorK3if5/ijGr+/vi4vSMrEgR13MLO0W8ZzLjnihL9SgMukkgzXwHe45YklSkiFy3gkAJ2ZWvkgG8e57mWpMMhY6p+OlXtUmU4Pc/XuPARJZ+SrMPk5f0pU4fdjMrxbQh2UP6Pr+gkwiaaUjJm+VNr2zQaAu+tcknNixOhTbHZh18W1JzoWynlGzwbE2DLSOl0dLjStYtNLjkwjGufNmNYZrG3xvgjj/I8FDlNy9Yu+i8x1t7X95JJ1k0P2CgZBOENrYdU/E7eE4bx2mz50jCzgOCOx53eHhbDdu1mW1YCCR//dWQ97++wRsuN4hiLbgyMm1lD0w9R6qecGpuBM8aF8yEAxMGv/03Nb7y7VIG7rx5oZg16VUrHdEftc9sIlbn1ptwln1uBJ/z+zx7UuTq+YPOGt0LvDpPC/b9usvF56oNC9mVjPfmRpjdKJ6l7vIUYtfIW+jfk0dyobk5mQNKTmOiGCxifubVLUwDfudjdQ5MoKNF1wAlPzFMIpnx/Sw3LoW2eUuVys9PXUQTCkfBO69v8KHXT+K7AkTKb7y9he+GbNxu8c3HfZ7Z77P/UIWTlkXFkgx6WiveihT1aoMlC9qUSz7VgYX3DY0s+k2Y/d4AXzRW5U/+/pZZhdi1cZu4Nogxth8xef1FFpevjRmozhClDe7arLh7s8d39/ocPFQmNrUuwI+hbilKFlimw8REheeO6iYJ20p6vZdn0XTLAqiNAiUxjBhpxhybkvzu31Y1uI252m6zL3pLSTbTUoupelrvOQ0N9HPh56cj3YRgL0LPifQvxlYUWMGcpofi7+lF855RUC+Kp0r0Bjt1TwCpKU3vvKNwyhROVv3ecawwleLtN7aJE8FvfazOsansyUXRd9Z3GyL1WkGRjfdW2hAoWz9YhnZKG/UE80sDTM/6tNqJLsk7EY4Z8rpLQ950VZu9R5o8ve80d232+faTgxya9hgrSS45L+aGy2ZYMJgyb8RN1l3Y3hXPfHrWqr3newMcIEoUtmh98GdvHLr84NHpiyYmy4SBA+IkB081+ehXS3zj0SFIHUq2ZKSuL2eemeJZ4NmKkisYqBi4psPEpEKKAMNQKJVQ7Ls862Ky0LiQAzw1Ff94a4mb7ywTGkXh1Nxb2ZPBZqA2u1XLM6N3rwWtf6FW7L3MUV8ExdmxrOh6R/9AyJ6j26AXtc+wk6DXHSOU6Amc6ElrRV7lTHuNc7ntphCaG/dF8r7P1UeQMIn46de02PWcyUc+WSXuW3RkCcOsuz7M7D0lurcyNwsiM0z1HRiuCuK2y9Y9LoO1iLKn2x5dJ8axYmwzZrgS84bLA95weZs7Hj/Mx74yRKtZxRUOszMjPHyogV9Z+vTwguCDC8bssx7SswL8Dz70k3z6czclSbJEnZ46yQXLFKuWTnLH4yFfun+UidMVFtckFSfFkgn5hGHb1F4WnmNQ8iT1ikW1LJBGbx5jHr2NOYUbs9sBX3ChysAtTMVdj3h84a4SgSwuIov5bqMH7ixyWwXuXVxYFpuJz9o1PyftV8w2nNGaNmeb+/wXjO25fPxs+xml/CLwc/VqXrrvLwRpykJGVUCksu8z9KU8FaCMrNdMF4iSVGEnCT/z6haP7zC58xGfrqtxXoXK+HsKBBnI85HcSeHk1VPYYLqZYJ02CWObim9qoZWdYNv5lA5967sRV61ps+JDM3zx/pgtz9RB2Fy8psy68xeoPfuNZOGKM6P3OQEO8PJrXkmatL+wpL5t9bcePV56cj88/kyNOPA4b56i5KpM+prpDqTOX7q2xHMNSp5JrSyp+Hr1axUmDFuFIaxWYRBUsZdSZv2U0lLc/pDHb36szjPPOdn0BXMOyI1exkTqyG2J3jyd7m035VdIuXWBXXC6pfc75gK6mFIrlO77qcu5CPe5wV08Kfqidh83n5P/7uPgvdv8MUWg6waIjHCnvUhexHWuhhTdd5uzxXD+soi//JVpfkPCNx4q9RDUtZnQr5Ni0sn8sqQAI9H0JE40QwhCRaMdYxiCVJkEoUHJ1cHRttJMAak/gymh5FdYONLk525osGq8wdSUZOuR83j7u96MY1vnPLbnBPiSxeNqy+Nf+mu7vO6Dp06fLj21y2VhXeiKZlkLYgTQbCfMthKE0MIrN4ve2l5CUSnF+G6M6yQ4VpylErU3t2VGPWAbcda5k4M7wbAUX3/Q479+vJaBu9huVqQpGtxWRkuszDjT7LOBoH9hOZeKFIHct8jsXXkEWSFjLguZcyKcFRznAvcLPAG6KUP6GEtfRqbYuJxmhZ00S+cJSVd8pdeaEtJUR9Ps/qwVB5Ln+ftCOG9JzEd+eRop4LYHSz2aIlTW2ZMAKakyaSuDfNSskS34rVB0x6pL4qxr3tD+35HCtXXgmG0Jmi39qX3X4chJm7GhMleuarPpmYiV61ZPG1blb0zbOedhPCfAARYtvph2e5Ir1j3K7Ixg6bjNcF1SryiGahFxGnHvExYCge/oyO17krInqHga3BU/puzplKLnhrhOiGOH2FaIaWiAS5FkhkF5xiRFWIqvP6TBvW1fDm7rTN6dNy+InvzVKmZOZDF7UgA3Z6la0g905vyOuSfB2eD8Ay401Qu4XxV+6EszFjIo/bpxsqblzKAq59wFXYl2TYXcMba7aEx6bybIB5hkHzGE85fF/OmHZlDA7Q/6YCgws8u5MDTIpYFSFh1lkSojC/BFl16FysRWSaJIEoM40UNvS26KYQQ8vjuFWDBYFdTLkuOnLZbOV+w7WeKiq5dPHzl85HMb1i8/53F9XoAPjAwFzQNTHzDdNV+64fKdpQWjCSUvpV5ugdHgi/f57DxYY/GQieMYlD2DSgnKfkrFTzJwh5T8kLIX4LkBrtOh5AbYToAwYoRI9WU0SQG9+MQSfGOjx+/8TY3tXXAX8txdkGsn3BcM7jlWbD1Kos4O9CJmRe/rfj5cF/H9g2B9Lu+mD8g51y7QFlXsfSxQlzxdSC9HrksxoAfKQ5dXSFng0Tn46Yvk3c+klL47UJy/NOIjvzxDmsIdG31NtGUKxIhYj/dDGChpE9o2k8omVpIEPR5ei63SbCR3TJIqUqXHpld9WLu0zclWg6/c5yJOeAyWJL4Ts+ug4pXXrGoapvyA5c8Lnu94Pi/Ajx5tp15lzabrrjNmHrn/iZLpNBgZCrl7s8U3Hqly6lSJhbXMO8WTVMtQKyVUSgllP9K7F1D2OpT8Dr7XQsoO392j2PysxLIs4kSxcmHClReFVG1IENz5iMtvfLTGM/sccM62qOwJqJ4P3OZccM+hKucCdV8EL4C1n29n958FxT8syHtoF3QbFM5WFMrSh30RXRR5uup1+EC34qmd6ueAvDvC4ewg7/scOVcLYd3SkL/4lRkUgrsecUmSlJqtuOLygJULE+IELFOy6Vmfp3dXmAl9gtgiiAVRJrZKUi2wSjK7ZilNPFfQanu86fKQy1dPc9ujs9y1ucwiVxGbPpdedv3MmhVLN800Zs4sX75QgM8fGwJhT+zfl77dq13znUbrNuuL91vc9M35zK8YLBsSjAyYDFZNBipQryTUypHWpfih9o/z25T8JobRZtehlM/e7XP7gyWOnbA1l01iavWAay5s84fvb3DwuMH/85dVdh6ws074QtTu6kwMHbkzfcnzgrvQ1FBUAvYkseoM/p3fdmnJ8yH4hwDxXD24OiN8F98hB7pAKb1Y7OXJs0fkjROFSJ5LbFP0WL80kWCkZwd5HsmT70G5ROGPDFPWLYn4y1+b5r/8BRw8Ifmj/9TgZReE1OugYgNhCI6caHL7gzN89u4Kuw7UOB6VaMcmg0lKlGi9SZIKlIq19EuaSOEQRgOMDbn82k9OM1o7zSPPlHjzK66JPCt6u+tXJpThPu8xfl6AC+mwZdt+ygPLDo+MdfY+8ODTa7bubHHBuMOSMR21PVdSK8NAJaFejqiVA+qVDtVym7LfRKk2Ow+nfO0hj0/eOcj0TIlUmOBlIngZ0Djd4La7BAtHEg6fMNi51wIvR+eZGROZSV9zcJvPB25ZTA0yZ3HZP1ZDin460ltinh3N4ly/+gEQP/fK0I/zntNVjyoVTpIsPaiE6tVdugDXmS4N4ezBadYlnDdPdp+lb3PKYygytdacv7XvmKWoMOa85RHve0uLIyclb3p1GzcwaHVKRJFDmhqMlFPe94aIt10/yU13NfnqQ2V2H6rx3LTPQMdk2FcEsTYnSpKYNFEEocHkjMnB41WWj7usWzRB2a1zyYa1e1evXXS4PbsPv3pu/v09AQ5aIbfpyQf3V6uV97vVi+8fLm1m/fmCkp8QxRIptEdhvRIyWG0zXG/huw0Onwp4en/CPU953PZonYOHq5iuSb0kcEwNwCARTDQlsWjzsis7/MKbm+x4zuLWhz1aYZ7GKkbwArgLGpOuKlD00oI6Yp+dlpzNm6WItBxsPwxgiyD84R/X49xnW3Tq0X2FGj6i4OigukDvgjzNzv5UFfh7obCTgx+6p0X/n5PJa4UiFQaGkdCcEdz8bY8d+ywuWJbwyotSwtDn9EyZODGQUmGZMa4d8ss/1eGNV0/zzcca3LWlzOFTVQ6dKDHVMRjL1YOJ0i1tUqcVnztqsXR+heuuXIdlNN//9JP37V+z9vLveeS+J8AvOG8RjWYT1/ePblguHzi87LvXHZk4zSPbDepejeULJKODHcaHG1RL05yY7nDHJsHnv1Nm0+4qceLjWSYjdShb2rTFyZrdk1QwPhiyeKzFH/58k3XLFLVyyI2XBNz6oKMfJHt5bylE1ixcUAdmgC5WK7ve3qJfWDW3YeB5Nd5zgT2XlvxQ5PqFAboPyM+XZhG9Qk++6NTUPMtuZ/wnzfL2mrOIbPwImWmkTrcopUdyF4zXCm/dO/sFkIqUVEqkKfj2ozaPPu1y+ITLr3zM4/d+vsmSgRJpUidNBaaR6jSxE9No+YzWOvzim9u8/01TPLV3hs/dW+Y7W2rsmywx1TZZHGsb7uULFNX6LPc/ZfLssQHWX7HhgRVrXnY0CFo4bumHBzhAuVSiOfXt3QsX+H/daSy77svfeYxdB4a56jyDoWqb8eEpGuE0t24S3PlknSd3VOgEDjVfUrI0sL1M+ujZutrp2gLHMrnovA7XXWQyPlil3WhRL7e4eFXErfdJitJXKQRuoSPHFIWoLQs6E1nssZwTuTk7uItR+2y4ztdUcx8393v/vrYC3RCFu54Py2ecAIWMin5iD9y9e0WvASLv9Ey0p2BR+arOoCu9sr/K7JVz/Yt+VS2Uk6kelrr5WZupWQe8EnuPu3z404O8cr3k4pVlHFt3eLmZ/Z/rxLTaNo7j49ohFy3tsPbnAh674gR3Puly71N1DkyVMA1YpgxWL/BotBuI0kqC1Pvrf7n1od3v+olrX9BhfkEAB/Bri4Dyprbo3LJ0UfTW8xY9x3nLTjN/ZJq7N0d86d4q2w5UUInNkCfwawpLplhS4Vh6FI5b8E0puSYDVZOhco0klkzNGgzKBKlCojhDZ2a1JqXEleAZStOSs6UBC2Cf20hQHCM9N1NyRjrwbFh6vv8/Dwi/H9Cr74HqXm1Rfc/H6Uf1TgKy2qRQvWOQW1nL/CBk1ERpVTlQjObZANg57y6EwlAJKKk7BQ0DhEu9ZOGlBqcnDfYeFgxUTcqeHtrquQmeY+LYJk4nwTJdTk2Xce2Ei5aGXLCkzRuvmOBz97b49qZBpgKT/ScsXn3NBtZftO4Wp7Z0UxLN8kK3FwxwIVbz3HPH9i9b+opfOX5ou/GdR9Sbm1GH0cmAv/vaCM2ZEisHoeToXHaaeT5LKbrd+J4jsjK+QcU3GKyB4yjCWBDFBmlqaFsvKwO3tDAMiWuAL1V3rLZZyIwUtSX9FGVOI8NZInYXr3N5+BzgZfKNPl3RuUDdO14v+DvoLhR7QD7XK6uz3HnmM/qyKhm7Flm0FxlfFyLLnyuFklmkNvKKkH6VfJCBUqk26lECWRjGo9vNElRiEEVZpTT7vmxLEYYJp6cjUmURRpIoFgSRIAj15GzHzErySo/tlgJKbszy0SYfetMss81JRmseaxdatOLSrVdedu2vTE6cODA4suTFBzjA0qVjPPrYwwdGxq/YOjLYfrNnPcU9j9epGCXWrzaoeBLDgCRRzLYS2oEuBTuW0F3Rju7pLHtGt+2t5Bbb2lImpuCxXS7YNsKwcA1BxUgzg55cV9IDq5wL7rluVWcBdx8S5oAsj5HnwucZGbyXZCuw4j4+pc6gUCrLohR5fC6CEoKeNbNUOnJnRjyQaokroDIDT5lKpEy7DRX6tVLC0OKy1TGD9YjmjCJJ9WzLVpAy20qQmVttmkqixCCKhd7tFCGg1ZHMNCVxokeXPHfMZ/GYz6svnub+pwSjQyu54qortm7b+siB8y+4+vs6Ut8XwAEqtcWELPjIz77hqeX/fMvQz0xPply/wWb+sHZzUgiCKOWpXQlxW/sU5pOTPdfEd6Xuwi8pyp7WqejezRgpQx7ZbnHvlgrCcfAMSdVM8QxVsFkrRN+sCDIX3IZQZ/BvIfov8N302lmgI+Y8Zi7if6Try+fZno8tzfVr6X6egsw2/3+xbzOnIVmJBVEYLChJSchHbGf3ComRpiSJ7GZvmu2E6y5ocNX6Fkc3BrRikyDStsbNTooh4+y9DZLU6HbHg656h3HEjv2CMBRZDhz2H/FZttDgsvU2+2fGv/Bzay/9yOzk4e/7mH3f4uV1axayYeyT0+Ory79QduY9+JorTK7aME3IKSZmQtYva7F8yQlOtDs0O5l5vmvgeyZlLwO3l1L2EkpekrnXhnhuwFQQ8Y+3VQjCMq5lUrcUlaw3z7d1N4dt6O5rozu0im4DbjFNaOb2YFnGpjjrUs6lJH2NBP3S1bNF6zOkq32/+QE38Xy/UmcsSPsrrMWUpzrjpXJlYZJqH/E4s2GIYx0140R0f5ekgkT1nLGU0tMi4kQ7SQWRtlILQotOaOs9cLFNh/e/scE8r0krTGlEglYgaHUUrU5Kq5PQbCU02gmNNjQ7gk4oKbsxgwOT7D7e4JkDMaODLUx3koeeaXHfkxaOHH6wLUd+4Q8/dvN0dXDh931Yv+8IDiBrv8DJo0+0fvYdK8Ntm/+Z//21hDQqc8VaScok33ws4ehxg5WjAt/VXoUlV+C7aM8UL8V3Y0pe1O3pLHstbrnH4qEdA9ieQ92Gqp3iW1pnLjP7iZyvxWleeu5lNnq2cGRDZXvd73kk1tbCWZqr2GBQiNa9eTIqh9eLguHn20Tfrp73QSJroCzKeXMLhvzn3t/bGwamK4W6yilAzx9SAkNpHZBAU0rZPSi9sn8+a0l1h/6m2EncjcTTzYTLVs/wmqumuOmuMlO2j2+JbLxkZo+NPv5pog1ApZRMNiyWLZC8+qpZvnKvQaPtctU6yUWrGnz7uzXOv+R1oZSydcN1r/2BjusPBHCA4bFFpGn62Iy65up55Se8C5ZHjI1Oc9M9Kfc9WWXlqMXIgMFAzaRWyn1UUhxb4btx5iIadcG9/UDEv9w9SpqWqfuCup1SchSepXBMDVhAz2qJ9OCiwvfQvezm4NYRXFA02FFZFANQicoA33udPOtSXFielcrMJel5Drp41/MuRs/E7Qt/jCrckSv9ep8/t8TL/4ZEZI6zqcgmbdAVYUmhSCWkpubcuVForkEHfdKkSg+nCkKTMNYXfcNIceJscgf6pLIrMe+6sc2Tz06y/YjNlGniGNlVV+oTKEkVUawI45Q0NTGkScmt8frLAixrkq/fN8DUrM/Fq53gLa+Y/+CyFUsfEz9El9QPDHAhRpma7vzuNVe9VlWNI7+2Zcdm94lHBJu2VVkzZrFkzGT+sMlwXVErRYgMOKahGyA8J8ZzQ+qVNsdOd/jdv6/z0NNDVComg05KxVUZwMGxBaapv5RWR9EKIIi1516eUcmjX5eemAIrj+JSdAEeJ9k4vliL35K0/0TRSC9onOZorYto/F4JO/UiIFx0/1Vd7+38nmKrXc9ummzMX/7+KUlikKSCMBbEsexONJNSe0Za3ZNEYRqiC1gz65s1lSKKTZodk2bbAAGWkeI6Wt6qsqBhyJQr1yV8+JdO8cGPupw4NUTJkjhRimXqq2uSKpptnX1ptlPCyCRVDkk6ysvWTJFGTbbsbrPv1HmnDkylb33nzw42fmB0/zAAB6jX3PTo3i/9gVUeinYeW/HbR46dts8bl4wPW8wfkSyaF7NoXhPP7TDbdDg6UUEIpe0n7IiSG2CZTT53r8WDW4dwfYchR1F1FRVX4TsC39EZmNzkE1Jmog7PnjZwTJOypacrK3qFHcMQWXOrnhlvGmQreQgjRZKktBX6C081mGWuh86XW3kgmwPUHwVD6b5mcSErzhW1z8znFyN318U3OxsSmY1yTAWdwCCI9OVISm1Xl2ai8dxyLs20eVKkWFaCY2n9/snpMnsPl0iViZ313YZxQpxkHftZWtEwEq46L+I9N0zwkS/4TAYeJQs8O6d9giNTKVNt3Zi+eCQliCyC0KHRGmFhvcnKG6vh4Znxf5ztVMMf9tj+UAAHuO1BN6zXxv5s8XwVxp3OH414oRwfkaxY2GF89BSnWm2+fp+HpVxGqpJ5Q/pMd+yYoXqLrz+s+OxdwyinxIinqLs6epddoccWOgaeJyl7JtWyYGwo4ppLpvnGUzGfv3cMQ0hcM6VrUyA1oC1TG4JapsAyJaapnaXiRNEKYk7M6miio77Sz8lAnrd/ybmLzTySnwugP+D2veJ8P9fuvWM3eufW00bu/5hZ50mNVt8xmWnanJ6RxLGmbaap1zZp5nEipcA0ZNc8R2tHIqrlJl+6P+XuTVV8kTBvUFAt6bmpYQxJoj1XUL0TzTIS3vWqGZ45OMEt948z4EiqaYJpwEjd4rxVARjT3LXJYOuhElNNCIKUVluwbKGbzisv/aM1qxb8ZbMx9UMD3PhhX+DWr36O9/z82+Px+cOnF49ZH4ha++XoIGBMctfmiC9/p8r23WXi0GGgZjFQSRmoBozWG0w1Z/nzL1X47r4RRsuSES+l6ik9VdkTuvrlG1RLFvWKYKSesnA05NI1M4RRg6895GNZFr6pu/qdM+ydBa4j8Rw957PsGQzXJUvG23TEDJv3uyRK6sbjDGldG7a8mJot6nopxyKvz00x89/3DO97zyuY4BcszvpM7ue8X7cCO6dB48yfs7pAllUypb46WqYeGOY7IbVyk0d3Rjy61WemIYliiLOZlHqxKbqvZ3T9AXUA8t2QgcoMf3ubz91PDFHODFT14jM/ajmJ0h9Iv55guJ5QK7V4aLvDTNuj5ipqPowOWpy/3ODS1SkXrQoZqLc4NiWIQ5NYRazbcFm6cPHyX51pBUeueNlbflh4/vARHOCaixZQnzf87I7t7gcHSurvdux8SH7zO5LG7DCLRyzcNGGgInXJ3k6p+CG21eQvb3b4zneHGS4bXXCXPUHZE/jdqcomlZKgVk6pl2NKXohSiigC0lgbO1LIgxtk5o2Zx3RmyO+7grKvGK4lrFoUcN1lJ9l3PGHr3mEoy65neVqYxnw2/24xR7MqzvIY/cAXXqqfO+KDc/y3X37Voy1FmmLIHOARg9UW2/e3+OjNYyShYvX8kIGqPq5JaugMiNDN44ahr3ZJNnpdK2UV0kgwLe2I1Qxgppliytw0wswKSUbhj81dyxKuOT/igz85wR9/xme6YzEapQShYnLGxDbLTDfKXL+uxQXLprnzEcGll1yfzl9w3gdbxppnI+PoiwHN7z8PfrZtYOwitu/ohGvXXf2J4zPy1x/fM8rslM8NF7m87YYZfC/CtiUVP6VWDhisNtj0bMSdTw3gGR7zSoqar0ehlH1ByTeyseFmFsmVHhnuxXhOhG1FGFJHkuJ4EUMKLKNHS+zMZzoHd62UUK9EOHbK8nmCd7ziNLEMaESCMOvgTtXZKccZgijVB7MzniPO+Z/vXQ09V5lfzPmpv9CjulPqtHIvAtrcfL/FjqM+7Ugw3UyYbSY0WzGtTkInVAShLp+HUZYbz3oi89y5NvRJ6SSKVgjNjqLRSWl2ElrthGZb0WgLZlsGs02DmabNTNNhcrZEENS48cKIK9ee5mRDMdWCRjshCKEZdPjS/QH3Pl6hZFR4x2uqLJqf/Po1V1z6iUX1k+H1V6x+MaD54kRwgPXnreSZPUeTa6556x7L3jy7f/zuyopFR7lri6ITWYwNGowPh4wNzfLojg5/8tkhTpyss3hAMVhKqfqCStGi2TXwXUHJVZQ8PeHWd2M8J8QyQ235K83CjJ2ssGPo9KDVNU/XKcqSm2be5RHSSLAtuHR1gG0GRKlLrHSBoxhOu3np7IdzF3/OkRM8V3mx+MxzPbVwd5F3d38qGOUX16C5sallJsRJzFO7fJqRQaIErRC8ToppkHnSCAxpYBoC29Tl8zjJ0olJNnIwNTBFTJwkNEKLVgCupXl27rYrMLKBV0Z2cujikhSK+cMJf/zeSf7gsybP7hmg5KYM11Lmj9hcd8kM396kKJXGeNc7bphdtvqiPVF4JFmw8PmbGL6f7UUDOIDv+cyrhLe++uVXfqi9ofG//uamOwe37ky4eq3DmiUBC+dNsuPgLH9yU4UDxwZYOAjD5ZR6SeihVb4GtmtnM34checoPDvJXI90YWiqGXPnYz6GtHAMMgsCXbU0TYFtSr1bEsfR41Q8O82sK7Qvi/Yk1KY2eS5cFIEyV8OS/aK/s0aRd7Q/3/Z8upbv+aRi5mTOc8/orO8+RXULP0l2uQgSCCJBJ9QDwSwrzfi6xLJ0CtGOdRSPkl7lMk5sXn9Fhzsf69AILdpZCd42wTJ11kQAiTJIEl0QSlMzq4LqrMniEfjv7z7FH35a8tzBKpYV4rs2F6+1cV2T+rxrT48tuPxXd+9u3bpypf9iQvLFBfiS8RoArdbEZ6qLrzPXr7U/UpYPj6xfepS9R1ts3NHiO9vKHD1ZZ+WoYKCkaUk1n8pWMrP549q/zrWz4pCTZqPEIxwn4MDRhCf3lHBMA9fQo1Iss0dPTEvPMLctcHL7XSfV810yXxZFwummJFGyr4WtN/ksX/TNNfcptJMVCzznLD6eSSde6JYbEp2xFeyTdeTsldVVqtUkuuIoGCrHCJHQSWw6MQQxBJHCDjMzJjPFigxCUxBZmQgqkoSxJIxNwsjmwuVtFg022XKoTCsUWjYRgR2mGIYAlRDHijCUBKE+OeJEpxzjRBCEBovmTfFf3znBd7Y2OHK0ykPby5TK4/zUT1x9cmjhNb/VSaLPrFo170UFN7zIAM833x9mdmb2k2953XXyHufQh/ft3j3y6DaXZw4ZHJmqcOFCQb2kU3muI6lXTOqZub5r6y80VZpu2KbCsXQ3iOuEWGaHR7aanJzy9ZhCM9aLSpPsxNAR3LL0ota1spPESnDszHzIjmjHEd/c6BN0LMrlwtyeQpnfEJnp/RztSl6+ziO6Oie48+fN1fidqXvJf+67etDLquQ0JW8k1uVJQSIkMlEkMq9UStJsFF+lZPDaqzs88HRAK/LoxIJOBE6kcCJBaKbYUUoYCUJTEsYik7VKosggjEyabYfhmsHlGxpsOTBII3KoRIowVkSJIE5SAgQd7Z2MbesTI04MwCSMJNMNm5mGw3nL4DWXzLJ9d400abF4+cKT8xe//HfSNPlkuTbwo4DijwbgAJVqhQ9//FOfAJnE7bX/8+LVBwaXLVJs3GJwyWqDVCmOTCT4jkG9YjA6oBgdCBmudzh22uDg8TKmD9JQ3bSX54R0oojHdlZJY5eKrdvfHJNs9IUGtm3lGRs9DMux9IQu24qxbe2qdei04oldHpICzck8FvX8HtEF+hm2avRs0ooVzzOAXaAXzH2NPmnj2RaphSaNfNSi6D0/SXvT1kC76RqJVvnpCGqSKpNLV7WZP9Rmx4kq7VgQxkpPUYj0gLAwSrAiSWihgR5lmu1IEkYm7cBisOZwxeoOn3OazIQ2A7Ge0JCmulPftSWHT0UcmxSMVHWmRClwbAPHSjh4XKGUixAjPPyMw+lJk+suWnT6xqvC3wymP/mpgfFf+lHB8EcHcIDf+dDP89C9X/x0s7M0fHhz9Pc79xytXH2exQ2XN9h+oMOzhyvMHzIYrivGRwIWjk7x8DNt9hyo4UiF5+iFimWm2FaEY3fYsg8efLqOX5KUzGyiWz7XpQ/kWnTvZBHctjTAHSvCsQK27zZ49kAJyzXwpLZfsU3tVKGLRPkwV7oirbRY6Mkmi+VNATlSRZcs9/Lec+dp9gx8+iN4VwMypwSfj37JbZGTfHI0el6m9h0EIQ0MqbBM7cfebNmsWNRi3comO4+ENCOXTiT0VS1WGtCWyqK4LABcEkYGQWgQhBbTsx7Xnt9hzZIGm56t0owMaklCqsAwJCODJosWtNh1rMnG79aIY03vamWJPxpycKLJ9r0lksRj5cKA6vlLWbbmZ04ebTg3XXDe4h8lBH+0AAe4Z3MnVcL8grSWxVddVP3n8fou99ljszz1rEvJMRkZEIwNhSwbn6KdnOLmB4cxA5eLVqYoZWAaCsfS0VsYHf7htgqnZ0qM1cG3dTuc5toy490yuy+fsJyB29ZXAccOiZKQjTtKtCKPiifwzBTHVNnYQ5E9X2Aamn/rUXeKJNHaFZGV8QWKVBYXmblmWpwxtZhC9EVkjTNd83l6/ZEUqElWfDEK8uAkgVhJokhnfSRgmWnemYYhNMDDyCSIbCplh5ed1+GOjS2asUMrFnixIIwUoamy2xQr0nMqNcg1l+6EegRNq+MwNuzwgTfO8t2/atOIynQywRvo47RhucX6FR0efkay60QNy4ipeAbjIxYXrU4J09M8/myVpUvXddatmvf+5euW7BPCil8wkH7A7YeuZH6v7d5vfZVf/cB/UCsXLtzhl6Pte46Jn/jyXS1TxWXWL7NZuShh5aJpInWKP76pyvFjNZYMG4wOmgzXFIPViIFqm9HBGe5/OuJ/fXUehuEz4qmspN9rqHC76UXwXYXvpJTchJKrC0QlL6DsN3jueMTvfWqETlphwBFU7UzYZeshtvpW59AdS2TWBdAJFWHSK2/nVUxDalc5TWskhiEwpMQwRfcqkEdzyGS4Bflht0JZWANouYEWQ9lWVqE0NM8NQkkzMOgEsqcFyRWC2eLYNLRYypAJy8ba3LHJ4sS0h2mY2gksew8jo2JaeZn/7dk6xMheJ9uXzGuz9bmEnYcq+LZByU4puYKSZ+I6BkvmpZy/bJIHnzGYmnGwZIoUJisXmly8ssOypYs7ljv+bttcdfPTTz+xf+3adT9q+P3oAQ7w+S98kWtf+ypVXzi6IwmsnabpvtGRs9Y1G0LWrzhFOzrF7/1ziad3DbF8WLBgxGLeoMnoQMzIQIfRwVlSpvnoV2ts3TvMiC+oexrcJVdXPTWwde7cdxS+p7T23I0z7XlAye9guQ0+/Fmfh58exvdsBuyUsqPwbbLxiCKrfEpdTfVNPEcy3Ug5PqVbsfIoK0XO03UlUAu7tKbDMCRmdl9e/gcyn8B+K4b+iJ01aJgKKwO3Y+kUp+9GuHbCdNPgyAmTVkd0sxUUZAC54EoP3U0Zrke4Vod7Hi0RGo7umewCPPv7sylyhpT6Z7Mf3FIqauUE0+jw7S02zcilYqHlzLbEtk1cW7JhecSGFRPcu83iwIRFEiuGqwmj85a2KrXx97zqDcu/fPzIs+mNr3nnvwb0/nUADnDrV7/CW9/0FqzJvduXLV+yb/FY+Konn510JxtT/OM3TR7aOsTyIZPFIwZjwzZjw4qxoYDxkRmkMcmf/ovHl++bR9m1GPK04lA3UYgsgmcAd8DLorfv6upnyYvwvYB6pcnmXTH/44uDNOIaA66g5ihKdqZcdDW4S67E93Tqsl6WLF8QMzQ0w+YDKSen7W77nJFpzk1DYMrs1tQAzwVeVqZlz+W62mhS66LzrAlCFCKv7kucC+6SGzFYa9MIG9z2iOTgUaPA/2VP+5K/Tq5RMVIsI2F8pMOjOw32H/cxTRNX5rMpyU5OeidjpsDUJ27eQaVf94LlAUO1Jg9t82gHTpcmWqaBbRm4Nly4cpYVC6YJY8XapYJQLJkeHFj6i49/t/WFYDbgxte8518Ldv96AAf40he+xM+//308vNvf2lHDR9YsHbv+ye2BHwUpJVcy4FksHrNZOCoZHwlYNj6NMCf5iy/afO7ueVi2z3CBmpTcDIyume1CUxNXZZXPBN+J8L2Qst/Gtpr89VcdHvzuMK7rMuQqKg6UstfyXEHJzYRZvkmtDEO1lPGRgJdfcoI9xzs8uquMY4isdU4vSE1TYJqyu8C1uoWmPHWpKUyqIAwVQZiSJKkezqSyXLvsUYNe9Na5e8+JqZQCBqozfOuJkH+8rUrJEtiZWlAvZGXPf9HocXcrG58+VNNrj289UUIJB9fo0RTT6KVEpRTZzyKjXdnrGfkVS3LJqoCBSpMHt7s0WhYlK800QAZlT3CqGXHilMfaJaMsX371qTe9fOBXL13PTUdPebzt7e/+14Tcj36ROXd781vfBYBSxz8Nprlo/rw/O3noGyO3PzSLI0xWLhTMGwxZONIAY4qPf93llgdGqHg2FTulZCk8W5ukOzlXdiSuo/mzY+uopxeMSZYejHCdgJl2xJ1PDBEZLkMWeLkKMVtY5rxbW1tA2VdUy/oKYBlAGtGKYtqxTZRob8VUd3sV+kJFJhUAx9aLXdvSUt7ZFpyajJltJkiZZWvsXuRNDE03uh3+ufzUTHCsCNfpIKRBJzFpdrTwqVdyz64ipsyksAa2bXR7J/3Y5cZLGgyWm0y2fFqxQSlOcWJFEOkTyoy0jqVjCEzT0FVhS2IHBrZlYpkW4BNFFm+5qkWrc4q/+/owB067mKZuXyt7JqlR4slnh3jvO157csGKK357Nok/PT7wo8lz/9gBPN+EmIdSjX+6/vprxZ33ph8ueQ+MXLh0ilIpxXVMgrjFp291+fajw6weNokSRSfK5gBZ2hnLsyWOk5X2bfSQ2mxYqAZ2lvu2Isp+hzset5hulXAtk7KZZrnyTGJr63HRWn0o8F29QNXTKSKtrVYpSZoQprpRIp2T+9YRTnSpiW7PS/HdlIFKxOnZgI3bDWZmDOol9Pi87vOMrJ2sl1MvDusys7EvwjAIFbRiaIcKN9C6E30lMbP3ltiWgR0YOJaJE1oEgUPFDXjVhbP8y701mq5HJQY3y40HUd4skWiKkr+OKbFNA8dOiWyDyDA5ftojjOq87pIZYJKb7xmkE7mcanR4YIvkDdeM8IGfu/7k8pXX/o5C/dPYcOWlgtlLB3D9BZY5eqL5iQvWvSweG3D+at+ebwzc8UCL69Yrdh6R3P9klfULHNYuEUQ0+NpGm7KgF20zKaznakD6Torr5DnvBNtMsEydQTk0kfCpb9aYbPgMl/XiyDUVjikyoEtc28BxpNa/OArPSbtTv0wj7hpAJXMKMyLXkWdZFMvI/0Yt8qqWIhaMNDCcGY7OVpg8Xe6qIYVAS1JNkbWW0dVxdFWDMtOWoI169BhsXZXshPqK1TETzAyQnUwPH1h5LtukEzgM1i3+42tbPLitwfEZl7Yl8BM9DzOMFFKkCCERIskaR0RWE5B4jtS9nDLgW084EPqsXepww4aTHDzW5uRJj5ddmLL9aJ3RZa+evPSSy37DspJ/FuLF1ZZ8v9tLCnCA+aMllOp8Znhow+nnjuxecdWl7p/H7e9Ym7abrBj1ueEywUVrpukkk3x54wimYfXSghnAtZxWR1zb1iIiQ6YYZoppauH+1v3w3KEypmFSthRuZifn2Fn0trIIbtPTwNhanGWbGuBSGGfqtQuLu7w9zsry8Lr3NKHkRVT8DlOdFkHsMd0WNDq6rc7KFpSxmWqpapYVUWkhv94Fu4A0IU1TgsTQ891DRcdKM3lCQsfSnUwdS+JYBkGUATy0CCOHFQs6LB1tcfBkTOBbutye6vQnkSJVKUqprOtHYJkGpiFxLJPBqkDIDrc9bpO0TQ6dtBEMcfGqCb5xosXqVddGI0uT31y7/uI9kw339nmD1veFhR/F9pIDHEAIN927e/et117+Lvv4ye+2HtsS/q0U28WV6xI5OjLJ1n2SWtXGMhRVXzBUs/BcLfN0bUXFTxishZTcWEe/NM9Rp9hmQpSE3P6oy5FZn7Ij8Myky721rZzEtmXG6VVPfZiV901LD8kS0gCMbh9LvstuPlx0syC2mWJbKU7WYO3YMaaMQKV0YkE7EviRpkl2rDvN40Rl3iR0uXjfnPps5jtpTCextTowUjgRdKIUKxTYlupFcFsLnQLbJIhM2h2besnidVe2eGhnQCe2uk3XKoV2IGh0IIjS7lCx0JHMNCFJJLWyRaUiGa6ZjI5HnJxpsHFrhWsvGUp/8Z3rVG1w9S/fsO7STx09cTCct6D+UsMKeJEaHl6MbfnKlWw7sCfsiOHPNNXyde/7qVX/bcFCm1vuhaPHa0hhUXFNxgZN1q9IWTx/llYnwbEV9WrE+MgMSxYco1qapdE2iROdOrPMhCSN2bHfox3ZlPLqZybQcrrVT4ljg+tkysNMWqvltZGmKFlZsq9trLv3GpzzPHa+0LUyqiSlRm6UKMJY59SjWE8T1kOY8mppZr6T6j23SktTbYhJGhMk0EkEQUzWuJBme0IQqa6eRJfdM11JaGOZNmsWxVhGQJxo5xfT0OuBU23FnomQg5OC6aaucpY9xYGJNtv2hRw5adJoeYhUsLBu8carIqpDLgen1/+3G1+2aN2F6yqfiaIt4fIVK15qOHW3H4sInm/XX7YBoH3quc/uGlyy/M++8hXbvvLiBb87Ut5jfGNjB19WWblIMD46zVceABefsp+ycKTB7qOzfP1mnyWDJZaOWfhujETheyHf3GSxZU+ZkmXiG6n26jB1FsPKpLWuI/BshZ/RCtdOcJwYy4wxDT2CXAnZ7b/stYnRjdzdqmCW5rPM3mxQbXyj6/OxIlPi6QpplOjorefU9GhK2gV2LoeViDQBFROlik4CQayjuB3qkr1lJdihJLCNrFNHZiV4gzA06QQ2G1a0eeNlDW59pEaiDCwDhmsml6xXLJ4/wVcfcjh4sMZARdcTLlnb4Gv3WwwcKrNiocObrj7BQ08uZt3aS5LLlwz/yX/884V/NhueTP7g189/qSF0xvZjBfB8G1r6br72tS8mb3vb+/77rv0nrc1P3P62Y1ObFi0csbwFowG7jnY4NVnnkpWShSNtyuXTfPZzJQ7sr1NeY7NgRGu7y6WI6UbEHY+6HJ7yGSlllbdcVmtlzRG21LTEze19debEsSM9lcCJ2bFf8vRuC5ScM3czW1xKoRsu+srb2cTerMM9XyjGKdkAJt3lnyRkAFc6mqe5nRpdcOsZ9ILzVyasXRKy85iiY0naocCUvaYP7eqaEoY98VQYSYJM/trqOIzUTF5zVZN7twbMtEukNZ01Ga5YbFhawXNP8Vv/2+HQKZ/Fp+DitQ7LFzXZf9zi2GmPS1cPsGLFlcGNN7zyfzrO/P9+911f41WvfsdLDZuzbj+WAAd4y1vewd4j00hp/J6U3u//4rt/5uP7nnnofKyjV/7LN23z8pUOa5ZE+KXT3HSPwYHDZRYOSQYqBiVXUSmFGEaT+7ak3PdEBQubsq1wM2qiK46ipxu30doVL6FSiqiUAlw7xDR1a9ZsS9BqiW63jMwyJz3dRp51UFhmBrisC10PuE3RUxQUiVLESqca41RH8TjW4NZA16KqNNFUpejmWi0pKp7mzJ1UMBNqAyTQpj92Jg12I4Mo0g0MYayjeCc0aQUW1cThlRfP8LpLTnH3ExbTHZNWO2FyxuLwiTLL57V456sm+fZjgp0HYHTA4+3XT3LLw1Y83RnZuHTtu1LTX7Nxz37rd5WaQIjhlxou59x+bAEOsFx3CKUAe7Z/8gPXrl9QeWbvyP9+zVXT71g577icbh3n72+D72ypM88zGRswqFUFIwMBYdLgY7cIHtla4mTLoeQKKlaKa2t5rVkApW0J3Azc1VLAyECDit8AoYhji2bb5PLzUq66MODJA/pvEyI33BeYUnadtCxTLzBzemIYaabl7jVfKiDJAZ70xlvnEVxHcR3h8wiuFYiKB7ZYbNrhYZd1hD8ZJUwGilZkZItqnb0JvZQoayBOEh3FO6FJp2PTajsMlATv/4lJVi0V3PbACBMzNvNmE46eshkbLvO+1x5l+dgEDzxZ5ZkD81iz6rL0isvm33yy6f/nr963f/ZDP3fFSw2PF7T9WAO8uK1Y91527d43O3+x+1/e/dPHdh89+Oj5D2+pvXV6ah/zKoKxqu4OqvqKerXJo7tibn1wPj97wwxrVnS4a2OFsgtlVxdh8kR2btDvO3q25+hgk+nWNJ+732S05nLVagffjSj7LdIY7QKFkbW36XK2kbfLdSW6CsvKRlV3wd2/pZkuJU60FDeMIIxSwjglSgziWOgonubGOvrqIQ0JlsOwKyg7KZeum2XeYIPbH6txeLqMZyeUXEUUpaRZJUoBYSxptCwsM6XZsfjqQ2VOTFT56RsUR07M8uTWARqtlE4gOTZhE0YeHpKffNVyDp4cvWVs6VVbX7Fy/KONZnt2ZOyFG9C/1Nu/GYADrF65DGBi01MHfr++6KeXvHpgN5es2/7WO+7dRpI0ODYNF9kmQjZ4ZGuZa1aXeNl5AfduSxgqpQxXTYZrkpPTKbPtFNdRmZWcLuoMVTvMtGb5sy953L95mCtX2lRMwcqFTQYqTZIktznrZVHMzKrCtkSv99PRrXGmmRaMMPsT6AK9iIwTCGKFGYEVKZwoJYwykOc8PEsVCpEiDAPXMplXSlk9X/JTV/hcvr7JhcuP85HPG0zMulR9fRVQSl9RquWIKIKjEw5xIrGtDhNTMQ89PcCiIZdr1p5g07aQMDYZrM2wc3/CvNGFGNUNrF573i1ve8eyXyVu7RfW6EsNge97+zcF8Hy7/KLFpNHp/cJc9xu7d5mfmTe2+ldmp5+8/pZvHaLkTnHPU5KJiTIve1nKwdOKTdt9Riomy+bbjI8Kzrcn+fw9NhVfC5RsSzveVvwWNz+suG/zIKuGLRbUJZMzFq1OSBSbKBX3ubnmakJdGtfUwM8KOyU3wjR0I0KcGlmKT4CQWFJgSQ38IBGkHQCFYYBraYCHkez6dqe51W3WJeRKKDu6Y+bYqQr7j8ING47wxLOTfPXe+Yx1tAuvUuA5KbXKLDfd4+Iri+mGhWuXuXxth92H2mzZ4/Hma31ecXGTZ/dYRGkFb3QlF1xy4f3S8j5aH17+3ecOxfuXLVr6Un/tP9D2bxLgANIaBNitlNoNbD28b2L+e995+T/4YtPKJ778uDGvbrBgXpsndke0GzWu32DRDAKEsFixMKYRGSSJhWlqDUu1HNKJW9y+sUzVthitKkqexDR0IURrQnRTQHEOkJF5sLg23QXqULWF53RoBTbtwEUpQRhZpMpACQPPFFTsFNdMacSCiZagGukSuWOleGGaFX5El6LkhvRJSrao1AvT2RacnHQZGajyE1ef5raHA6baDqOhLh6ZRorntNhzyOb8BQGmGfDEjhrXX1Jm1aI2T2zrcOSkw+hgiFu5OLngkvN37z3R+MULLrrqaJqwy3N+ED+AH5/t3yzA8y3rktnVakzvGhyNXxu1wwXv+dmrb35688ZqzI7Szv0u6xe7XLIm5NEdbU7PmESJ1LODbEHZFVS8mKrf4chkzHTLZ8gXVHytKnTsFM+NmWnFTMxaCGF0nWcFueWZjpQVL2ak3qJUmuTvvm5wbKLCGy4rMTYUMljtkKTayd+3FEMlxeiAwWuvOcWh6TYfv2UUZi1cSy92o9jUxpbdJmdBkpgMVmIq5YhWaBDGKa0OzDQNJmd8qm6D8eEGJ064NNsJzXZCO9ATGixDMFiTdJKYx3dGDFUrrJgfcfCEJDTWNn/qLVfPPHswfPuCRSsOL1tu7HfMf9vAzrd/8wDPN79cQ6lkv1e67uB80V6/8PXBVdONC/+PV90fz5x6brBSPlAZKAckcQnf6TBYchmuG8wfTqhXQyp+wG3f8mnO2ozPQ48pdwSek1ItBWzcLnh0exXPMPUI8kS/ryF1g7LnptSrAZ47zd/eJvnid0bYMO6w74iJbQnGA5skMRFS4tuKgbJg6Xybocog1244glBH+Ydbx5lsmtRLiijqdf5ImWJIRRQ7XL025ur1DbZsc+mEik6Q0mgZTM64LFvg8aarOnz0iylTTXBPx0xM2UzOesx0YlodGxVJgiTiVLSSpQuvmXrfhgWNRtv6z6uWr3lkzWpvWkEqf7RTbv9Vtx+bUv2LsQlhIIRIh4b2T9aHRr7ledXVt9/66RVvfNN/+BPK12w73lj61KLxSmc6cBmrwLLxGMOa5OipiFYgEMJmpCIZrEh8x8C2oOwltIKQuzb7JGGZq1fHlMoh7ShzZ5V0I/joQJNvbEr4/N3DlKSNYyhmm9BoS4LAzGzQBJ5FNq9IEkUmUVThna9Mef1Vpzg6De0QoiTtjtbznIipVsgj2+uYDHDjxQGuF9Jo6+bhZgdOTducmi6jEouKEzMypAhVmz0HQ05O2KweF8Sq0nnlZcNPvfftGza/590/t+3qa17/67t2PL50ZN7ot7Y8e2JSCPHvCtzw7yiCFzchzgOdP29NnXoO0zT/XGH8+Ttef6ExOlT524e3N1e/7LLD1y6ft8+490lBEpaJkhb7DkiWjpqsWqRoB6A7xlOmWzGzsy4rRy3ecX1AIznNp24fRmF0m46rpYjTzQ4bt5cZKbm4ZkozELSDlE6o7dDSVOtjTANsW+A7UPYjphsGrfYwV6+d5dGtbWbaPmmSGwEpUhXxiW9KOs0aFdtl0D9BrRQSpw5CQBzDjoMgpc/KsWkuXNbiqvMGwOrw5C4bt7Iq+dX3Dj+48+Dgroaa+aBlTiWWZWHbjnrbT/8iNf+lV/39qLZ/lwAvbvWhpdCTb8enJ2f+81sWuQMkx/50y5av26fax5I3XFq9pEPtUiGnuGB5B2m1iJMasy09S2bHEYvdB3yuWCnwXItV4zFfcBSuo7UpcQyGTHh4m2TPAZ/LVtjMH5vigads2oEeIaJ9UHKbHk1tPFdhmC1ufwwWD9Y5f1XINec32bbTxTT1orIVSJqBZMuzNksHEp476nD5+Sbrlsfs36+HerWjiJMzs2x82ub11w5z8QXDtOLaE5ctP/6k8pcbl13zpnDFkuH/uuq8YLJcrmaH4j+91F/Nv8r27x7gc7fBgSrAJPBLAEf2fhtDiuuPnO68xi1Fb18xNrVmy7MdFia72HMw4cRUwp5DCY7Q/Y2WmbJ5l8QzBQtGDGY6MccmDcIYnt7rkMY2S+cLbrwyZNMuizjR2hTPSWlmdmetUGT3p8x2Um59pMQbLpJctNpl/bImO/YI5g0pfLfJ4RM2Y0MWl62e5uixOu1AMTntMj7QoDEVUao4HDhp8oYbVnPgRJXB+aWdG2r2zY1W6c5p0vv/3196Bf/vS33QX8Lt/zqAz93Gl98IcP/s9NT9K1fwgGm2V4wumEr3bD+QuqXhZYPDo7+9f2o/b321S2PmNIY4yB2PWsRhwuhAwqGDEY2Wg21G1CtQ9Q0qJUXJDbENL5vyHDPZjGm0bXzPQMQxQQRhpB1Zw0C/xukZhxNTIZ1QMVIPidQMRw7UuSBUXLO+w//Z3cZ2RuiwiMvWz7J27Qqmpmf+7NkTp/atPe+V8pIrBmTVs/cA3xocrL/Uh/bHYvu/HuD5VqnVAb6V/1+pQ4Bd33/o+MaTUw4VT0a2c8GvrRhvvvo9FQjaBkawmdLEaSzb4eRsyOlpk3rJxLNCHnw6Zno6ZslAhGF0eGCLwjCqrB4VGOMdDh61mGlKllkJl69uMDnr0glc1i4KeG4RIF0kIZXaECvXX0ysIn6+7LJmgXVXq934q5IdW0vHzsdwFt5//SuCqXUrR17qQ/hjuf3/AD/HJsRCgCng6wATJ48B7PCdzrxrqiJttVO2P/Usjj2Dh8VM2+boRDN622uu+IOV49Nv+u5zS6PLLrJZMd9k2dI20geVOoyMKiJgcARWL7dYsLDDW17VYt+REWve4uptwcytfzA2VLJSbKR0KJUqjI5fgJIG19SFrPnWcWDf/PljL/Uh+jex/fvKCb3E230PPIxSYl7FOlLbvK+jpiYNxgcF65cHnJxSBLFDEEI7FpycUlywxGB8OObo6Q4HTgyIKzeMT6dKHV9/wZUv9Uf5d7P9f/gFxe7x0GqoAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjAyOjUwKzAwOjAwyPnJ2wAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODowMjo1MCswMDowMLmkcWcAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31730365
    {'hecke_orbit_code': 9008230214664304, 'n': 1, 'trace_an': 24}
  • id: 31730366
    {'hecke_orbit_code': 9008230214664304, 'n': 2, 'trace_an': 0}
  • id: 31730367
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