Newform data - 180.12.a.c

Formats: - HTML - YAML - JSON - 2024-04-29T16:23:45.339309

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 25920, 'analytic_conductor': 138.301772500726, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, 1]], 'atkin_lehner_string': '--+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [180, 1, [91, 101, 37], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 46729, 'field_disc_factorization': [[83, 1], [563, 1]], 'field_poly': [-11682, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [-2300203136, -3340, 1]], [11, [-6181218000, 298320, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199456067764, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 12, 'hecke_ring_index_factorization': [[2, 2], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '180.12.a.c', 'level': 180, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '20.12.a.b', 'nf_label': '2.2.46729.1', 'prim_orbit_index': 1, 'qexp_display': 'q-5^{5}q^{5}+(1670-37\\beta )q^{7}+(-149160+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '11.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '180.12.a', 'trace_display': [0, 0, -6250, 3340], 'trace_hash': 1684403947703125675, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.057', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.967', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.331', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.511', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.641', 'prec': 17}, {'__RealLiteral__': 0, 'data': '63.216', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [2, 0, 0, 0, -6250, 0, 3340, 0, 0, 0, -298320, 0, 1209820, 0, 0, 0, -9056340, 0, 19439368, 0, 0, 0, -55926420, 0, 19531250, 0, 0, 0, -41841708, 0, 62230792, 0, 0, 0, -10437500, 0, -729235940, 0, 0, 0, 608419068, 0, -1129440740, 0, 0, 0, 1653072900, 0, 656908386, 0, 0, 0, -5724887340, 0, 932250000, 0, 0, 0, -3756433896, 0, 4923703564, 0, 0, 0, -3780687500, 0, -5843244140, 0, 0, 0, 43352162664, 0, 33647099620, 0, 0, 0, 15684992880, 0, -54799425296, 0, 0, 0, 9303032100, 0, 28301062500, 0, 0, 0, -3688968372, 0, -128938931512, 0, 0, 0, -60748025000, 0, 65892157780, 0, 0, 0, -9530013852, 0, 349576084420, 0, 0, 0, 158596451820, 0, 175581192076, 0, 0, 0, -568127039940, 0, 174770062500, 0, 0, 0, 193514542056, 0, -469266082822, 0, 0, 0, -61035156250, 0, 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• mf_hecke_nf •

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

  
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-7637751279649497], [-6620028391611392706, -575653157841820], [4991747334295102832, -3242636908048290], [11150213275735371576, -5712966826821200]], 'char_orbit_index': 1, 'field_poly': [-11682, -1, 1], 'hecke_orbit_code': 9007199456067764, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 12], 'hecke_ring_inverse_numerators': [[1, 0], [6, 1]], 'hecke_ring_numerators': [[1, 0], [-6, 12]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '180.12.a.c', 'level': 180, 'maxp': 2999, 'weight': 12}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [3, -1], [5, -1]], 5, 3], [[[2, -1], [3, 1], [5, 1]], 4, 1], [[[2, -1], [3, 1], [5, -1]], 4, 1], [[[2, -1], [3, -1], [5, 1]], 6, 3]], 'ALdims': [0, 0, 0, 0, 4, 4, 6, 5], 'Nk2': 25920, 'analytic_conductor': 138.301772500726, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [180, 1, [91, 101, 37], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 384, 'dim': 19, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 201326772, 'hecke_orbit_dims': [1, 2, 2, 2, 2, 2, 4, 4], 'label': '180.12.a', 'level': 180, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 408, 'mf_new_dim': 19, 'num_forms': 8, 'plus_dim': 10, 'prim_orbit_index': 1, 'relative_dim': 19, 'sturm_bound': 432, 'trace_bound': 7, 'trace_display': [0, 0, 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• mf_twists_nf •

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

  
  
  • id: 151139
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '180.12.a.c', 'source_level': 180, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '20.12.a.b', 'target_level': 20, 'twist_class_label': '20.12.a.b', 'twist_class_level': 20, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 151140
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '180.12.a.c', 'source_level': 180, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '80.12.a.i', 'target_level': 80, 'twist_class_label': '20.12.a.b', 'twist_class_level': 20, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 151141
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '180.12.a.c', 'source_level': 180, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '100.12.a.c', 'target_level': 100, 'twist_class_label': '20.12.a.b', 'twist_class_level': 20, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 12}
  • id: 151142
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '180.12.a.c', 'source_level': 180, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '100.12.c.c', 'target_level': 100, 'twist_class_label': '20.12.a.b', 'twist_class_level': 20, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 12}
  • id: 151143
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '180.12.a.c', 'source_level': 180, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '180.12.a.c', 'target_level': 180, 'twist_class_label': '20.12.a.b', 'twist_class_level': 20, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 12}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 462150
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007199456067764, 'p': 2}
  • id: 462151
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007199456067764, 'p': 3}
  • id: 462152
    {'charpoly_factorization': [[[3125, 1], 2]], 'hecke_orbit_code': 9007199456067764, 'p': 5}
  • id: 462153
    {'charpoly_factorization': [[[-2300203136, -3340, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 7}
  • id: 462154
    {'charpoly_factorization': [[[-6181218000, 298320, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 11}
  • id: 462155
    {'charpoly_factorization': [[[-1495830055676, -1209820, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 13}
  • id: 462156
    {'charpoly_factorization': [[[15778940526756, 9056340, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 17}
  • id: 462157
    {'charpoly_factorization': [[[51400754581456, -19439368, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 19}
  • id: 462158
    {'charpoly_factorization': [[[773953750020096, 55926420, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 23}
  • id: 462159
    {'charpoly_factorization': [[[-20770028835520284, 41841708, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 29}
  • id: 462160
    {'charpoly_factorization': [[[-64816088892013184, -62230792, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 31}
  • id: 462161
    {'charpoly_factorization': [[[32982551654523844, 729235940, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 37}
  • id: 462162
    {'charpoly_factorization': [[[18483603318191556, -608419068, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 41}
  • id: 462163
    {'charpoly_factorization': [[[-252680807637435200, 1129440740, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 43}
  • id: 462164
    {'charpoly_factorization': [[[-1210185815059426464, -1653072900, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 47}
  • id: 462165
    {'charpoly_factorization': [[[5327116888787153316, 5724887340, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 53}
  • id: 462166
    {'charpoly_factorization': [[[-9337900717208182896, 3756433896, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 59}
  • id: 462167
    {'charpoly_factorization': [[[-74315325871750118876, -4923703564, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 61}
  • id: 462168
    {'charpoly_factorization': [[[-406249045779313856, 5843244140, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 67}
  • id: 462169
    {'charpoly_factorization': [[[455162210448169117824, -43352162664, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 71}
  • id: 462170
    {'charpoly_factorization': [[[259053058637487457924, -33647099620, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 73}
  • id: 462171
    {'charpoly_factorization': [[[436816429498146978304, 54799425296, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 79}
  • id: 462172
    {'charpoly_factorization': [[[-15811587347161234464, -9303032100, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 83}
  • id: 462173
    {'charpoly_factorization': [[[-5275288385911290003804, 3688968372, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 89}
  • id: 462174
    {'charpoly_factorization': [[[-1244333591228229706076, -65892157780, 1], 1]], 'hecke_orbit_code': 9007199456067764, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 3, 'label': '180.12.a.c', 'level': 180, 'portrait': 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FxajPFKHd56a5v33g6eHObkxRqXZhXT8wmzixGX5i1nFiy37JvnFz5RZ/3IMBenRplZLLG47HJpDpqdhOVWQnWoxS3bBWev1vjwu1xTG77+T9rB2p9Wstu87pYPfLch8X/r8Tca4NOzTVwnIUnEr0Sd43effu0L8rEX/LufePWi/vH3RTQaY7huxOSo5uyVMvUW1JsJS42IxeWEmWU4uyiYGF/mn31ykdt2lrk8O8rUXIWpBc3somVmIebKfMJcK2Z4tMebrmtzx25wZQlPecwu+UwvaGaWBJ0A4tjgu4aKnzAyFGOAizMxzTZsWetQKQVYK0C4tLuGzZMBi8sarCSKHZbbEMRgsSw1QjascWh1FUJZhAmo+Q6b1/VY7gguTmkSoxmrSaq+wHMgjgWdQDKzJJletMzWYzyvB07MnXvb3L1PMFErsVivcXnWY2oBZhdiZpdiri7B2UXLLXsX+KVP1pkcrnFpJgX3fN1lYVlQbxqarZgz0zFrx8FViqVOg0++I+Ti3DXxSxf08x97/9uOBIsv/6yJWubjP/xPvtsw+Qsff2MBfvnE59i4+4eYmpr/5SeefPr/98qRA165fIWbt7h85akyy2Gd739zzORIlWZXs7jsstjQLDVhqZFQb0YsNVKQn1uUTEws88s/MctN2zwWl0e5OldlZtFjZlEyXzfMLibM1BPaYUxgYq7d1GH3NbBUl+zZFHDfDYYoVggsf/68z1zDZ+NowIVpRbtd5fodCXPNmItTsHOT5PQU3LnLYGxAJ/LxdEjN1zx3rES5FOGpmDCxJInm9j1dzl7x2Lkl4vwULNQrXL8jodnrcXZWsWk0YKkZ8rVny1ihSJKE+2/ssH2TZWbZ4abtPbavd4ijMp1uiekFn5kFwXw9Ya4eM7tkuLQkmG2H3LhzkX/+o23WjQxxZXaY2cUS88sOiw1JPb9uzYSllqHZVYyv6fLRB3p0lsf44lMJN+1rs3vjmqhSHv7086fHfn7zho3G2iT8Bz/7fd9tyLzh428kwL/20Bc5eGmfet/+Z/6XC5dm/6ez56fUlRnLa1MhP/j2BmVV4tuvtHnXXU1u3j7Mlbkq9abHUsNhqalTJm8k1JsxS62YhQZcrgt0qcdd+5b4+H0h29ZUWG7XmFsqMb/kstAQLDUMiw1DvWVodg3NwNLpxYzVIjavNYDAcyxX5hyE9NiyRrFtvWX9mg6z9YBDp6vcfK2lXKpz9Mwo1UpIGDqMjRi6PdizucfnHhtm16aYILCMD0mipEvV93jtQo+SU+HGnTGHz4XMLrpsGPPYtg42T4YoFXFlAVzHIoRly9qYkaqk1fVodxyaHYelpmJpGRYbhqVGwkIjYaYBi72EzRvafPz+Be7arfGdGtMLNRbqPgvLmqWmoN4wLLci6q2EettSb8OFRcWNe+Z57+0x33phHNfr8gMPCE6erTLfJKiNbmpOrNn4qZ/78fIvPfSNbvKe9/7Qdxs6r3v8jQJ4u34Yqcolj9ObH3v2/MeeeHH+XzTrJ3nfmwIWlyd46DmHk7Nd9m5fouw0ef/dXW7aUWZuaZTF5TL1ps9S06He1NSb0GgZllupJl9qWmYbgqm2BdHmQ/c0ePdthmvW+YRhmXrDZ7nt0mgp6m1BqyPoBZYwtiQJKGnxHCh5luGaZc1ohHZ6nJ0OOXLGw8QV3nl7iHaWeen4EFvXwUMHYu7Z7zHX6OJrRZxEjI5AHDloJ2Zxscybbmry0HNVtq2Dg6cDHMq84zZDLLocOZtw/oqPli5rRzQjFUHJE7iuQAmIDYSRpRdCq2NZbhtaHcNyx7DYtnSThC0bO7z7jgYfujsEU2VxeYi5pRKLORk0YLmV0GjHLLcSltuWpQ7MNBWzzZg7dk/z3rubSFnlus1Vzl6a4OEXIhY7Xd56C2zfuIHZzvr/uTS6/0/fcsv6S/VWr3vfndd/t6HUf/yNAfirh19DuevdqHvkx7rNI59amD4kTp3z5YFjgrXjc1y72dJYHuGRA4IjVwSL7YBb9yzwL39qiZt2+CwsD7O4XKHe9FhuudRbmuWWoNGyNNoJy62YRttQb1vmWoLphmFkuMPbbmlx5+6YLWsVtZJDs+XjORJQhLHEGIGx0OkBwjBS7XH6qsXYkG8erBB0SuzY4HLXdR0is8yTLw9z47UOp2faNOo17riuw7df8lg7ajl+0fLffrDJ8Qsea0cl33pZcdcexVKnybnLo9y4M+TJI13ioMyde122b+rRjds88pKCRHD2iqZW1mgBna7EWEFiLFEMSIN2DY22pVKN2LQu4O49Hd52c8xYxWd2aYjF5RL1Znpt6k1Bow2NVkyjHdNoJzQ6lqWOZKYlWGjF3L5rjl/+qXlu2+mwsDzCsfNrePiAQ7O7wK5NionqCM8etVxuSfOOe/fbt9y252dvuPH6Ty/MToUTk38zMi1/IwAehbFsd7rv++MvP7hD0/q1R596wqnVDO+70+fsxSEef9VwZbHNtrWCuUXNYlsw01FMLcfcuWeOX/mpeW7e7rLcHGK+XqXR9lluuSy3NY2WotGBVtvS7MQ02wntrqHRscy3BfNtiJKA66/tMjma0O5Y3nVHwNZJQ5xItLSEETxxyOfSnM+6kZijZ30wZXZvVNy0y+D5HV463WF+ocK+rRVqw3WeO+xw67U+i51l6vUak5OWA8cVP/SWNi8e12xc47DQblBfGuWmPR2eO5owWhpm3442c40GB44NU9IVbtll2bm5B7LNofOCNaMRs/MRTx5y6EUKKSExlq3rQt52R0irrVg/YrjpWgjDMkuNMksNj+W2Q7OjaLQlzXaaKWm2E1qdhGbHsNyxLHUlV5uCRjfgrp3z/NJP1rnl2nRxLDUq1Js+M8sJ29Z1uDw9yhMva05Nd3j7ncsMeZod194XlX3/H95654fOuH75a1pJ893G1nc9D27tLHE898mjR4/8m8W5E6NL83WkGefga20sHe67TnPzzgr+uTKLjQRHG4Z8CyRIoXnx1Fr+yW9rPnjXEt//liW2bQiZWazhuSVKnkvZc6iUNK2SpNp1GKpoOr2EdjdhbWDoBpZWz2Np3ufKZUsYG67OxHieBQSusmgp6HQVAoe4o7lhq2D7esvmDR2CpMXDLypOnBnh7Td73LSnzmcftriizNYNHQ4/p9gwrBivdfBViTBymGtBxddsXCt49UTITTtL3HfjAp95sIvrVHnr7RbH6/DogZCHXqhw7HyJa9aX2bouYWIkZNt4xP6tCUoZtLKApex5TAx7hJFDq+Ny9LRDu6fpdBXtnqTdhXbP0u6k373VTWh3Lc2uZbkL8x3FbN1SHmrwc++c5+/cFXD9NRWmF2o02j6trksUS0bKmjMXq7x2DuYaTd53T53bd/kcOzvOCwcOO0PDw/9GeC8srdt8w/9w5nL9Mzs2jfzXC/Ber0sYip88e+qRX3n6mSdGg+4s99/g8dr5ESxlDp2AsrasGxGsGVU42tDpCbS0SGlRMsGVksOnJ3jlVIXTU3N88O42d+/tMVytsdQoU2n61Lou7Y6mld3sbk/TCTS9wNILDWFkiSJLnKTPMHaxBqQSOFrgu4LhqmCkCpPjho1rO4yPNPjGS/DUKw7SDPH2mx1u2N3imWMRYa/GXTcIGt0uc4sV7txpGB/uUNIevVgx34xQRnDDTk25GvDySZ97bxrijutbvHxSgR3i5r0uP/HeJb79asi3Xqxw/JLP5gnF5GiJkWqZoSqUPHC0RUkwFo6fFySJIIoFYQxBRPodg4RuYOgFhk7P0AkM7S40A5hvS+ZaEJgeD9y4xPvubvCDbzXEcY2ZhQrNDNztrkO7q2h3FUsNSRDF3LYn4eYdJU6cG+XoWcFrFw37t19kufHQ6J4bgv/9/e96QLc73d+ulEv/9QH83OU6M0vJT1w49dyv/OlXn1pz5kIL4Xjs2tbkjv0CVw8xVKnS68KylniuoFK2SJmgpEEpi1YWRxlKjmChU+KPH9vIo680uWf/Mp94YJn929qMDZdZXC7T6np0uk4GbJU+Q5GV8AVxnG71qeM2DSq1Bt+FcskwWo3YsKZDTJvTVyP+5Emfc5crDHslbt2rufO6JgdONfjm8zVuv9Zn87oOn3tMoIRHrRqx3A4wFpSAiVqHZsvFxCXed88cf/xQme2zPu++vUMYLfLkkTGixOe2vWt4961Nrt3U4NGXOxy+XObQeZeNo5LRmqDsCVwnXYRSgBAWY8EYSxRnizWyBFG6kHshdENo9QT1QLDUAqF73LhrmU+8bZl79iaM1UrUm2UarRKtjke759DuZjtBIGl3Jb0QamWFq4d56RicvmR49WzAmjXL3HujwMYLtOcfWfPCC86vvPn+26y1878jxMR/HQD/T7/1e9yxt8zpo4/8SLfX/rXHnn9t3Jcd1o/5XJiJ+Z0HE37s3Q2u26Hw3Cr1VspIKhZYq5AClBTZ9mxwlMXTlpIW1HuKxcYIn3+iwgtH29x1/TKfeOsyN25vMJaUiGOPTs+n3XXoBpowUkSxJE4kiREYKxBYpLB4rqHsx3huiOsEXF0MePCg5MwVl/NXRlDGY/s6lz3bFDfvbqK8eY6crbJhuMy+a2Byos5Ss8b+DZLYWL7xokfQkQxXYt5xW4+vPRlxaabKrh0O08s9XjvnsGntCNdvm+eZwy2ee00QhC67t42ye5PH7o0tzk4vceYqvHiizOlzFcpa4GlJxbP4DkiZBlXWpos1TiCMIUwE7UDQ7AmaEYQmxtget1zb5BNva3LP/oR1ox693hCLDZ9W26Pdc+l0Ne2eotNTdANBpyfpBtALLVFsuDQNzXbCqasxayab/Pi7Ehwxyvl5h9mFFsZ+dc3M3MyvVSu1+M++8vBnJ8pXefPbf/xvL8B/7pc/x0/fepX/+Pz6H0y65/79oRNnhxMZ8UMPaObnRzly1uPIOcEffdPwE+/psmmth1YOnR70QoFSCqUEWhm0SnC0wNUG17F4jqXsJgz7glbgUG+O8IWnajx2qMfakQ4fu7/B7k09et02+7ZZNk0qgsghSRSJkdgc3NLg6ISLs5bzM4LlruGrz5S5ujCCDR1GfMX6Mc2WSc01G2Df9iZGLvCbX6uwtDTE7bs1+7Y3ePSQQMQOa0YklXJMJ3KRVoKVKO3S6AlmlwR7bZn7b27x7Msl1o+73L5vlB9/7wKffqjFiycrtHsOi8tVtq0vsWtdh9t2tvi+e1tMLS3x1Wc8FjseF6cdrl51cZRASolAYKwlMRAZSxIbRsYirtvbIQgidm8K+Mj9AWuGFKNVjyjymZ736XRdOkG6y3X7wJZ0A0E3EPQC0p0gSAhCQy80zCxZatUeP/z2EJIxXj5d4ui5mOmm5PvXXSSZmx9vLu3799fvXh/9N784/odLF/8Do1v+u799AP/Gg1/gHe+5V/zSv3v4o3NzV3+rPT9bPnLWY81kyMjwPOvHLI4zxnDVI4gVSgS4TkKtLFFKorVEK4FW2asWODrB1QLXMfiOpRRZyqFlyE8YKQk6oaQVVjh/pcK//MNRMDEijrn5ug7bJkPiGIw1WJsWcaQQSCXQjsvJSy7Hz/hUfE3VlYyXBRNjkjWjmvUTii3rEnZtWSYRi/yHL9W4eGmY23c67N6a0I1bPH/EY7jkMDZkGa6GlEupFDJG0ugpltqWxUZCo13iTfuWOXi8w4lLiuGaz217h/mp9y3yn74ML5+p0O5allua2aUak+Nl1oz02DLW43/8aIdaucHh83DyssRxLEpZhDCATf9nIY5h62TCXftjksghij2sLdMLHWYWXLpBuqP1QtWXb91Q0AsEvTBl7SC09MKEIDB9cHcDSxxbpHI4dHycIHA4ezXiyJUYt9Rm7ZhlctjjpeNTw41677d+/9e68e4P/9zn/+xP19qPfOz7//YA/F996vN868ioujDz8Ic2V69+diy57Ld8H4zk2GXNv/5TzdtubnLjVsOa0RpBqPBcibWGcilGSpXpbYmTaU7XUQSOJAgNXpgQRJZSZAgiQxhaajEEkSGIIYwFvUgSJB5R4nPiTIVDJyCxlhTaqTZ2JLgq9XxUPdi3DmolGKpIRqqKsWHNmlHYPBmwbmKZyC7xH740xNlzQ9x0jeKajZLtG+s8/lrM7OIQN2+TjNQMvtvFkx5WCeJEIqwlTkLqbZ/ZRYebdpe4YWeLZ172WTsiKPtVbtpp+LkPLfLvv2x47WqV5bZhuaWYr2vGhyuM1EqM1IaolSMmKhFbbgrxnBhHxyiVIEUaTFjSRRVFirl5nVqGY0UYKYIoew0lQSQJQkkvlAShSAPUUBCEliBMr2sQJoRhrulTXW8sdLuSA0ehF0c0ooTbrl/iHTcaxivrOXK6ytkrhoPHF8vX7yt/9nP//NPmbfev/9Kxg3+Y7L31B7/3AX76yH9i45pZ9fzh2Y88/mLjMzJ+zX/TddBoKRAunhPx2sUhfulVl5//yBw/9ECPpUaVMLsRSlq0tGil0NrihBLXEelNcASBqwijFOhRZAnjJM2KxIVnAnFiSRJDYkj1tqEPbiFASdASHAc8LfA9QdmTVMqKobJkZEiwZjRmy2SHamWZLz0b8uSRUZYXaly3WbFlncO1m3okYplvvFim4mgmRhTVco8jZ0k77jdZOoHi+msjrttumZlOmK+7dHtl3nlri6cPdzl9VVEpSTy3xv5rDL/0I4s88VqXrz0xzmLTsmVNQr2hGa4phioO1bJDpWTxPYPnGjydoFUqtaRM74G1pAUrI4iNJE4EcSyIYkkYC6JIEkRp5iWMBGFkCUMIooQwMoQF4gii4jMljzCGoAWzbcsPvHOBv//BiLOX1vPKqTIXrhpOXIxZDC3loVP+xjXJ7//6n5gfvViv/dn/9qnfS/7pz37yexvgx8+OyhNnw+9frp/79cuXL/uBKdFJFviJd4T4zlrKno/nSoJY8NALFT5w1yyT4wnNtk8vdAi0g+soHEfjhYqekzJN4EhCVxBGIr05kSKKIYxkmkGIB2m/ODEkSZpdSGyWKcmyJUIIpEwDV60FrhZ4rsT3JJWSoFa2DFcNa0cDJkZaxHaZzz8t+fRDY6zxfa7bLNi8zmHresOWdXW+9Lxlacln96RipAbVcsTsBclc3cPdBkEkmBiSDA/D6fOWetMws+Bz7Vaft9zc4sGnfMaq4LkuSg6zf7vg7757DkfO8efPjHDsqs/aZsSa4ZihiqJaUpRLkpKn8VzwHNA6zTBJAXnHmbVgSBd2YiBJBHFCBnSIEksYQxQlKSlEhjB/jUyWdsyzMlkKMhb0YkE7kix1YWJ0ifff3uLK1GZeOV7i7JWEE1cSjs9E/Nh7Z9kyWubq1ZN+28rfumGrr33P+yNSnvneBPhzT/45cZL8yOPPnf/X9fpcrd7yubyYcOxSibLX5t59M9x9/RCTYxWGagF/+FjCdD1g51aLtQZHu7hOQhBqHJ0QOho3TKVJGKWl9JRxRMpEGSvFMUQJJEmaSTAmDbiMsXnnfQbuFOBp4CpwdAoQ34Oyb6iWYoarMRPDXcZHlnn2RMjvf7PEyfPDbB1y2D4JGyddNq6FXZubdOImB47XKCmHiRHFcBWGqwEjQzGuqxEiXVzdwGWpGbHcsTTaMXN1l82TVe7YPcc3X+xw8mqNshfhKBchhti+QfHDb13gll1z/P43qxw4OsxiW7OmFjNcjin7kpKv8ByB56QyTiuJUmTpwxTllnTygDH0gR4nJtvdstRibIiTFNxxBGFsB88ozcr04pRUOrGgGQlaMXSXA27d0WDzZMBnH9QcP5NwdjrBr3b5+NuWefetAUnkcHm2RuPyhVrcFf8hdm9y//RL3/j0xz70zu89gF+dbiCk+smnn/jTX3nl2IWxe2+IWD82wtOvGi7Na37jKxUOn1vmo/fPc/dN89x9Y48jlw2Hzgj2XtNl7XhCs1WiG3i4jovnOgShxnPT9F4O8CiShHG67UZxltNOyFJ/ZMwtMZYBuNMiZcbcoFVaMHEdi+8aSn5M1Y8ZqQWsG28y2+jwqa86fOPgKEv1CjsmBJvXCDascdm4RrBtfQ/tLvPHT2rOXa6wc61kpCoZqiRIGXB13uJpiRRgrSCMNFvWNHmRhGZHUW9aZpdK7Nzo8333N/izR10uzHo4OkIIB2MrRLHk5m11tvxAk2+83OFz3xjlpQsVNowIxisJFT/BdwWeI3AdiaMFWpEGzlL0PRmWdJEZS5ppSVLA5yCPk1TSpWCHMEm9Ln0pEgu6MbRiSSuCbmRIOgEbxxrctLPNobMxn364jTWaW/Z2+Mibu9yzTzO/sJ7L82WeOayIaHPtllNjWm7+tQ/9nQ8ra5q/LWTtewfg9foyUukfP3/qsV+5eP7EGt9RjNUEJc/Q3ukyVhMMTUuOnhrj+KUe997YxNGWV047HHjN8ugrHX7grR3ec3uT8aGATs+nG7h4jkMYO4SR7gdKcayIEkkcS6JEEMeSJBEkRgy0thH0VYlNmVsKUCrNOjjK4DoGz00oeTHVUsD4cJtu1OXRI5Y/eXyIA0eHGXEd9m+wrBuVrB1zWT8h2bg25JoNdQ5f6PLVpycYUpqJIUGtIqiVIxqdhIee96m6FiFSYHUDzfvuCvj6C6knptE2zNU1G9dU+eDdbQ6caHH8tEvFi1FSpCA3ZXphqvV/+C0Ndq6b44+faPLcsWEu1UtM1gRDvqXsGnxtcB3QSqBkupBTJofcfmQyqWbMYIeLM6CnBAFRIoiSDNhJKkc6saCVQBAa4jCkUmrzwbfX+YG3NrlpV0wYSv7+R2aQ0uGe6xUlXeXspRHOXfE5P2W5Mhvgljw6Pcu5o0fXKGftr7zvHfebbqf5u6XyXz/I/1oB3uvU0f5llOh88uCLL/2rBx/+1hgs8rG3CdYMK3pRwPaNCkc7+K6gPAMX5sp8+bEy9dDSCcAmEVdfqPLCkQ5/tr/FRx7o8I67lhkddgkDjyB2CCOHKNZEGdDjRBEnWcEmGQDc2Iy5zcBTJoTNgsrUx6G1wXUSPDei5IVUS10Sunz7ZckfPjbM0fNDiMhj64hl3bBlfFgxMeoyOS5ZPxGxebLJ5fkW//lrFeKgxMaNguGqplaBWjlCOCHNboXhqkUIgbUQxZJRTxGbmFbk0uok1JuKq/Ml9l5T5affv8yv/ZHHxfkKWkXZwtDEsU8vlEyOedy8o8l117R57eJV/uTxEt98aZipRomKp6i6UHEsrrY4CrRMy/lCrHTXGcCadNElRpBYiBOR5s8TQZikRaJuIugm0I0tcRxjooAxv8s7H1jmYw80uWd/zHBJEyVlIs/hh9/u0On5NFo1zl6pcf6qw+XZhCtzEYtNQ3tR8vm2YN+2KU4de2TNw8r8q+27b4sfe/HU712/fZLxsaG/mQCPwg6O3vSBJ5574T8defXrtZoX8ezRKscvt3nnHQvcukMyUh2iUh7G95zM6hmhBHhS0tKCTqLoxi5zQYk/P1Dhydc63PatNv/dh1vs2dxkzbCiVtaEkUsYO8TxAORJDnAjMVZibSoJbD+gBCnyMr9B6xjPjXFUSLMbMd+M+Hdf8jk/N8LLx4exxmWsJFgzbhkfEozVFGPDDmvHJJNjMRsmOowN1/nGK4aXjg1z3UbBSFVSLUtqZUOlFCKcAM/TaJX+fmshSSTdQNPtRcRG0OoaWm3LUtNhZrHGnbva3LF3mT/+lk9pSaFllALSauLEJYwk3cBhfNjnlu1tbtnR5sX7prg4L/n9bw4zt1zmyqKHqyQVR+DmMkymgWefyHOpQsrksRXEBiIjCBLoxRAaC0kMcYRUAetHuly3Jb0ft+5JqJU0cVyh0fIIIocodggil1bbZ3qhzMUZzenLMRenY87PG3qE3LKzybtuV3iixuOvdJhZfmRsYsT5T3uuuaPe7nS++teJyb82gB946RTu8Hr19Lc/s+PIsbO1p18xbJp02L7O4eCJKr/2OZ9rNjb4+JsXuX5rC88d4ep8CQGUXQsYvEhQSQRdJeloj27isBiW+OZLQzx7rEvFC/jRdzXYOBazdX2XO/e10EJRLWuESOVKWpVMvdLWFpgbi5AWJdKcuSUGGfPaecnBE5oHD1R57VKVMC5T1YqJkmW0Yhkp2zQPXtOMDmnGhgWTozHrJ7qsm6jz5NGA33xwDeuGNRM1qFUUtYqgWo4peQHPnlL0Qo1TSUFlrSCMJb5W3LizywtHhlPjUzdhuemwsOwxuzDCT797lisLi7zw6gSOBESEAeJYE0YOQShpdzUjVZ/hWoU7dna477oOP/DmeU5cNnz9gM+BEyVOnasQC00QKDqRQgmJEGJV4JnVBKwhNhZrDI5IGHJDfCLuuKnNtnU9No5HfOIdASVXUik5hGGZRivdUeNYE8YOUaTohQ7dnsZaQbsbc/xKxHQjZP+uJh9/c5fta8vMLY5w4JjLlrVdJoaX+eajj9cmT8zu+IlP/oBqLp5JamM7/uYA/MBLh1izpuw+8+QLP3bynP3X5y7V2bGhTL0JvivYNmnxNFy8NMY//2yN7Rs7JCYm6sToROAoKLkgpcVNLL4WlJOMRRKHbuLQSXxarYR/9ccj2Dhi7USPvZt7jA3FfOQtXTavCYkikeltCQXmJtOfUhqEFHzhiRKHz1YQWnNxqszV2TJ+STHkCYYrlppvqPlQLQmGyopaVTFS1YwNw/hwzNqxHhvWNEnsMl94uka3XeHajZZaWVEtS6olQ9WPcZyQb7zgE3QkzhqQGZiiWFIpKd55W5enXjGZiSmh2dEstzQzi2X2bKvykXuavPxamYtLVVJrdZTpZYcoUQRRWphp9zSNtku1VKZSCtizscftu3pcnmtwYXoZ7SQcOqf5s8fLCKVScAu58iZaAxiwlihM2LI25mNv6TJeS9i1xbJ2DJLYIQirxLFDvekQR4ooGRSP4ryIFKeSsezH3Hldl+t2L2OM4dr1ijAa5/JslSuzHgLwXZ/LMy7V8izbJrf/6wtnDnY2blr/6ZmrR8LJDdf9zQD4lStXmJld3NlYuvip82cek9s3CHZuqnJhqsRyS+I7Lq4TUy3FLDQcZqeGiQ3UfIvrWoRMwa1lqv08Y/ETS5wIQmMJE0FgJEEiCY1DZGC+XePxwwZLwlcORAiRpDfJpjcJsmRJmgtEiHS4jlSKONJIo3G0pOrBtglLxTGUPUPZg7InqJQk1VIqh4aqkpEajA3FTIwErJ9okVDn333R55kja9g+BiPljL3LkmopplwKqZS7lEplPCVRMtPgpHIgihx6XUE3SGgFinbP0OqatGWu4nJldog37Q34uY/O8m/+THNp2UMIg7URJrFEsUMYSXpBamOtdjUV36Vc8il7ZXwvoloKufnaENeJuPXamE880EGrOCsCGYSwK0V5JumMkQgh8RwFuPQCzWJdp76dJI95smcs+695sJ+b16S0VDyHieFh4kRyZdZnvu4yX9fM1y3LrYRm23JhFnZsTWg/9ZTsRepTQdB8utPtHf3rwOb/a4D/0Z98BUS1NDN16kNzM4fF0FDCurVdNq3tUvZGmF0qMV93qJQcSr6kVo4ZH0rohWl6CkQWzVtiBU4e0SeC2NhBZG9SfZg+BaGRxFaSGE1kPJIs7VV89KuUArQQaaVSgV+y+NriqwTPAU+D71pKnqDkSsolSdnXKcArguGqYbQWMzYcsGa0zfo1i/zmg4bPfXMtm4YV41VDraKolhWVMpRL6ZzC6UXD2WkP303tt5A7/QS9ULNt0jA53qPZc+n2bMbikuWWplryqZaH+cQDc5ybnuG3vroBLTUWQ2ISYmOJYk0QKrphaorq+JJyT1PyHEpeQqOVxhiuk+DoBMdJ0DJtlJAyLeeL7JlaV0R2P9KdsGEyl6VJ45okkRgjic0g3okTUQjwRf81yXbQdldjFkp0A0mzrVhsCBaWY5YaMYsNw/QyzHYS3OGESinm+RcPiqAbfmjvzp1nn3r0y917H/jgdxfgb72t684vLf7jJy5e/sdHzgTy4NkhKiXNO25r8INvnWbdRJXLs0NcnStT8jUlT+I3YzrdVAvHycrCQ5quSnOySeHPEmMHZfbMKZfmckU/UCpqbiCr5KWBlZYGLck8LeAogaNtmjfWAt+T+K6k5ClKvqJaklTLlqFKwnA1ZrQWMD7SYfPaRQ6cCvjjJ9Yz4nusrRpqZZGCuySp+IaKH1MtBxw4CYdOlNkxYTPdOyibdwPFrbss127u8uLRYTqBpdtLaHd1BnKHsl+i5A/z8XuXOHRqjheOT4JVGJOkdtjYEke27yfpBppyz1LyFb5r8FwHz03wtEHrtBtKK4NSJj2CRabWYIRFMNBzg+A8tRCbPCNl8vRrIRWbA9uILAMjMNnPSZI+g0jQ6kiWmobF5ZD5esyVRbiwAH6lwyffvcQ7b0mouiVePN6SJ87P/C8nZyqu0JVfBsLvGsCjoCeDoPOLrz3/mf/hlWNTbrfrs74aM7U4xB884nNmpsHfuavJ9ds6TAwPcfrSCFJ4WKuRQuCEhijOKmkmbaBNktwrklcfSdk5A7nJKnF5scJaS6HyvmLHzUvVeUFHyaxiqcDRuWkrrf55rsL3FCVPUC4JqiVLrZwwVIkZrgaMDXVZP1HnhZNdfvEza7l0ZZhrxg3DZaiVFJWSouJDxU8o+RGu06PRsyipcJSlOKU1MSnTRbFLrRTRiQ2dID2fp9NLaHUkjZKi3PLwvSpbJyN+6cca/K+flTx/fC0WhbGGJDHESUwYG8JI0QsVXU9SChS+K/Fcm0671QbHSfP9WtkU4CrrispkihB2ZYNuVtq3GYnYzMuSZIBPzOA1vWeybwHI/yzKuou6gaDRtswtRVyZizkxDcLpccf1Dd5/V8B91ymC3hhX58tUPMVC46Iro6F/+KMff4/zs58I/+dazf0rl/P/ygBfXGqy3Ap++fNfffTv18xr/k0705ELl2cEY9WYmbrDy0fGOHKmwr5tLd59e4Obr4loB5Mst7y0E1yAUlkVzZBV1QbANv0cLVhj0y7yzAJafLIK4JnszgLLVKKkTRJpukxnrWiOlniuxHUUvpeOZCh5lopvqJYTauWIoWrIaK3L+ollXjjR4X/99DgnL42yZTTNsFRLkkpZpuxdspT9hLIfESUhf/CtKlIpHGlRYpAmNDbf1h1++O11HnkppBV6dDKAt7uKVlvR8DS+6+E5NXZtivkXP7HIL3xa8NzRtRgrSUxaVo/i1GgWhIbAT+2unifwHYHnppVNV9t+xVYrg1RpblwKmzZK5AAflDyBjERIawlptiUL5LPdNMmmDph+cS3zuWQyM4qgF0IQJiw2Ei4sBtx6XYv33tFh/xZFyRniykyV6YUSV2Y1l2djljqWmOP+4tTD//3I7neLMGj9E9f7q50t9FcGeK95BmvNHVcvvlJaXjbMNBN83ebayRrGCMpezGjFsNDyOXHa4+zFkNt3xUwOiz6buo5MgZdYTGJJ1IChjRm0X6VAF6mPIgd1fuFXfa4c4LkHI6/k5eytde47kTiOTP0brsD30pknZS+hUkrBXauEDNe6TAw3OHCiwy/+7iivXRxn44hgrFKQJr6m4qf+lZIfU/LSkclXF0dwlEBJk6XlBkFmkkjiWLFuxBLHEc3IpxtYeoGh20to9SSljsJ3HVzHx9FD7N4Y8y9+fJ5/+jvwwrE1JEamAE8sUZxkTG4IPIMfSnqu6kswxwFHpxIt9amkQb3Mc+PZ6xtgPJUrZEUhRL84ZLLiUF4tTpJC0SirhqbsDkoq9mzTvOWOmFt2gadHabV9LjbSgU31pmRm0bJv+xzalUwvuDz25Kulhe6uO8TqjM9/SYB3AouUVOLOJe9Tv/XrTs2fZ7JWQV9VGJP6HtaOayplSa2SMD6cdm/3Ip/FJXCFYKgCUgpcIUlkWi7vg3qFDLF9oNtcjuTvv8Pnk2JgopIy/T05uJWUWaNELk/Ad8BzDSXfUvJS/VwuRdTKIcOVLuMjDV463eMXfnuEIxcnWD+smKgYhkqCqi8p+4pySVDy08WRlvpDXjguaPdcfEW2yFINnjchJEYQxZqKr7hzX4sDr9XoRKlM6QYJna6i5Sk8V+E6bqafh9mzyfCrPzXHP/oNeO74GiIjiYzJmqUHPZiBK/Fck7J35k1xssWdPslkykDGyazK+0Ygz4tCNgd4Bvikn3kZxFGve7XgOIKRqsNoZYTpOUs3kOlO1RU0O9DuGhJjWVoeJ7Fw9qphqDaN1H/kTm75cPlPvvDnnY9/+P3/5QHe6wUI5fzDhekz/zDoxvqJQ4IfePsSf+c+l6VGlU4gsg8vaXfSHG0vSG+AFALXVajsplsE2oi0yNCXIRRAnRuD7AqAZ7SyUneL1FAkZAbuzGSk+gAHlTkGHQ2uQ9oJ5GYGKy+hlMmLailgqNplpNrk1TMBv/DbIxy6sIbJYc1E2TBUgoovqJQU5ZKi3GfvBN+LqZZ7PHnIZbnhMzIyKJPngDFZABYlijVjigduaPPkQZN20WSdMinIJb4j8R2No120LiGlYc8my6/81Bz/6Dcsz51cQ2Q0UeYATG2vKZN7key7C12ddkU5WqClQOn82tD/fPkizKWKyF1pDApCq5+m8GpM4bW/86Z3SUpodgTRtIsUqd+lm43Ga3fSTv9eaDlxERY7MVs39njfjQlnp8W9yczJ3/mZH3vv3+s0jy6Xa/v/ywL82PGDSOX6V859079h+1VarQm+8Bhcv3OJt9/c4trNfjpspunSaDm0upJOoAijdJWv0HkUzPh5MJNdoAG4vwNzZxcur8j1tbfMHXQD3Z07BrUi9Wdoi+OkjcW+a/DdhJIfU/YjKn5AtdxjdKjBy6cC/vFvjPPqubWsGXZYU04YKtsM3Bl7+5KSl7K/78WUvZDYBLRCD6EkTs7gfQ0usm08M4hFDhW3l9oFQp+RHOS9hI6rsiNRJI7WODo/gNayf6vl1/7eLP/g1w3PnVhLZDRBIggTk7G4wI8MnmNxnbR3VWdxh1apRVhJmV2frCs/fy0Ys/oLsxjrrAJ3n4QKxJQTlS1sAUEoaLbTBEIUGbphQicbwrTYFiy0LWsnurzj7iY3bq1x+NQ433plgbfce/b7L5w9ebYXhv/0vyiDT0/PMj6+Zsu3HvrdvYeO9BiqwrrxkCuzJf7gYc2h84v80ANL7NnUYmKkTL1VZmHZo9V26ARpK1SS6WljxAoWyFf/4M9EgSkGVcniBeuzdjGozLfbrENHZcGU1hZHpcB2te27B30nyXRzRMkPGKl1GKq0eOF4zD/5zXFeObeWiSHNRClhyLdUM3CX/DSdmIO75CX4bkytEnL8guWJlyu4UuIokwVxg1WdB85RooiN5v6bI3Zc0+bspRITZbJ2sHSeSaeXsbBWaO2gpM2KRpZ9W+BX/+4C//Q3DE+/NkEvKqXFsNhSzjzcnkMKcp3vXqbf2ypV0t/hlBQFgIsCyHmdXhmA3K4EeGGnzdl7cA9T0CfZKItuaGl3LXNNwUJH4FdC9u9p8kMPtLhpW4WnXxlibqnNDdtDvLDJVx8+ft3P/cyPbrl6Zebiho2Tf/0Af/HoDFeXh7deuPTUv616lz5w/TUNLs1WaQQxiVVsHBa8+No4B0+UePONDd520zL37G8xXKkxu1hlue3Q6WnCSGSnLYh+8DhI+w0CmOKW+DoGSbklY/BV4BYWqfK0YAoGrTLW1hZXGxzH4DkGz43x3RjfCyn7AaNDHeqtDk8dhV/9w0kOnxlnPAP3cMlSLQkqvujnytPMi0nZ200BXvICwiSh1/XxVbrIpBArnHx5ISUNNHWq5XVAEFq6kSgA3OC6Ca6jcRyJVgolnT7AEXD9NsGv/r06/+qPYp47McZUo0avIhlOLNXY4mcTBzzHZrn/PJNi++ydS5Uc4P3Pm33oIs77CjG7KbZ/rwpgLzK5GfxZlHnLO4Gl0YWrywKrQ950a4O33dTiLTckKFvj0swwSsVUqj2W21Uee7nHjmumP/DKoaeSm264/r+39uIFIbb89QK8Xb+K69VvP3fmzIfOnjhFIhzCBM5PCaYWUl26e61grlXl0YMlnjzU40P31fn5Dy2wfk2CkENICb1AZU0JeRHBZqAWK1f8KoDnl7ioCvObkI57yNnbZvLEFoYDpbZYR5tszETSB7fnZuAebTNf7/Irf1Dmq89PsNAeYWJIMuFn4PZT3V3OAsuSJyl7NmPwVHv7XgiEPPaqSz1yGfNY4cdGrNyhkiRtfqh5mrfc1OGFkyGtyGMoMlkXu8ENUq+6q1OAa2VR0kHItECDhd2bJP/mv2vy9Re6/PLvruXKwgjdYc2wK6jGhnIMXpSOXnZVOtDIyQNNKfpBcP5aDNSLC1OIfq9I//6wCtxFts6ZPQ82ozhtd2t04NKywKg2P//BRb7vnhhXllhqVFls+PQCh/UTEYFVnJuOuKEq6bRPc/7M2g9Njgz/QafbvfDXyuDdbhvfL1979tSTPz+VHMF1xjh1WbPQSJ1nG0ZTUEWRZbRiaPUks80KDz/jodQi/817u5T9EkGosBaUlAWAD1KARWmygrWLsiS70Dmz5OXmPAugcoCrrFk5q945Op134joJrhPjuxGeG1EtddG6w5OHEn7noRoPPrOG0NRYUxOM+6ksSVOAeZ5cZU+RMXeRvSO0Dnj22DCdULOunH+e1QyeBZomPRjLdxR37OkSmxTg3UjQy7MhYTpyzdF5ilNlQEyrjynYBOPDgu9/c5uqN8XvPtTlqWNjzEQlOr6kFlsq2qYg11kcomwWl9gM5Pk1FAPvuATJgMULKqvA4mmXUJ62NW8AdJN1VkVJ2tfZDgXWifjZ9zV4320+jUaVhWWfVkfT6aVN5FK6DHke128yLDYkx5uGP33oFN7I3p9/zwN3vdLpdk+XS3/5SLi/FOCNpcsceP4RRoaH1x8+dvq+V47McuMu2Le9xMx8hfm6RycguxnpttoLDetGDc2u5szZCc5d7TBa0UiRygQpUh2YmEHQlTKCWCVLCqmHYvpK2FXSJK/KpY5BJelPvsqZ21GpF8NzIlw3wndCyuUertvhD7+p+Ze/t4az86M4ns9kVTDqJdQ8S8WDStZhX/LSaqefFYRS/0qS7QSpPFloJrRDF1cpXGn7ASaFr5LbC3LvRhg7lJwek8NdljtVupHoj2ZwHYPjJFmaT2XpTpUCfEXgmjofP3BPm1v3zvOrv9/jc9+YYCmu0PEcKo6kplMPjqfBVfSbIXRe9Ml2PtmXKoMCUJFUVoqVItBXZVj6i3nQNWQt+I5l95hiz4Y1nDjv0exoeoGkkw8Xyrr6u4FiYVkwXY8ZGuqwc2OD5sKJ+x59wq7vdBqnT525xM4dm//fATyMEm6+5c1b56aP/Sa904TBKH/4SMg771ri/v1tpuZHmV/yaHYl3UBmM//SBlZr0+BmcclDi6jvg5CiEGBmeVVLEdxilTTJwW0HbJJV32QR4NKipEmdiX3mTjKQx7g6lSSeG+A5XS7MxvzW1yt8+ekxzs2OUCs7jPow4iVUPZuV3nNwywzcsl8U8jPt7bnpwqlVAr70rOb0xRJ+NoGr3y7GAOWDzFGqw6NYs3sLvPfWFr/z8BjtsqYWWXqRxQuzuEEZtJZp9kNRALlToNR0V9g8LvknP9Thum1X+I0HRzk3M8RSXKLjaCpKUM6A7kqbLpwsy9Tf/fLrmqcPSfX5IANmX58nz3fa3DphXx9L2Yyoaj5MVBQvHSvjOhJjs4bmKEkLXaGh0zXMLVuuLkfcc2Obd97qcfL8EI88foKPf3jnb959x23vWlpu/aVS5S8EeDcI8F2XP3vkpY0nThzd7gdXuX1fjdFqiUeek2g5xZuvTxiqDFNvunR6mm6QztiI43SP8xxD2U+/qcqAaDX9VFO/SmZFnwUGrJDTtl2hA3Ngp6+ZaSgDd5o1ydk7wdFx2rmjYzwvwNUBrSTkU593+d2vT3J1cRijSowOKUZdy5BrKGfMXe6X72XmU8mkSZY774PbTauXQRRy+opHO/QY8bIsTl50yrMSdvDd+56USFOraLZtDFFej1ZYpesKStmu6Gbyyskkis6zHkJ9h+BVMTHU4ac/0OFD98/wu19v8ltfGGOhW6GrfXytKGtBSVm82KZsLlOpouXA3pBXOV/H5LyBXFmdYcmB3Qd+Cm4pAAndwHBhKsR10i8Q50Wq0NIOLPWOYL5juP+WJu+8pcxLrw1x6mpAtTrNkHNwe0mYjWPX3HvBJD2k8v9qAL86NUelXJnYukZ+/rlHDzuzi8MMj3Z4/x099m0H5bQYG25Rq8SM1sostz26PYcgSgNJSD3BnpPgOuk8wRXbdZGxM0C/cYXSFtKBtg/sFfJEZi45lU6f1TpBqwTXifDdENcJafRCnj0s+cNv1vjC02P0kiqu6zLmCoZdQ8W1lD1L2R2A2/cknifxMmmSFoayzEQGcNdJK5/npy1PvVQmjBy8in1dgJk/+mXuzIoaRunclwdubfHH325z8kqFrp+68ALH4sbgRAYnNCiV2htSGSEHw30YyL3ESGIjKXuatcNd/sHHO+zZHPC5b1Y5eHyI+W6FnnJxHI2vBSUJnszSqHl6VaaFub5hTRSuf8bkq81ZRUbvk1YB9JAumtw41wsSlMrGyyXprJV2KFjuCpZ6kNges/WQzz4yQr3Z4T13tRmrlHni6dec9Rvv+fzG6tINnU5r/q/M4Nu3jsgzp07f/uwzTwz5usvIiOK1y5qR4TobRkI8I/nqc5aK3+TOPS22DXuEkU+r4xGEmjhJ+yJFzrLZ9pZfnJy9+17kAoOvLAhZZM7k/ZKy6ds9U91t0SpJAa6SvhzROqLRjnjmqOAzD9f45stDLDWqyJJPtaQYdiw111B2LGXXUnLJWDtl7pIn8V2F7wp8l8yhZzJwGzwn1d9KB5y6AlcbflpYyfTtysLJwD+T9kGmII+NJAw1a2uCazd1OXIpphM5BNmMbzckBZ9KMomSF2pArvJp5IsnT0NGSeoP/9gDXd5xW51HX2nx2W/UOHi8xmKrTEO6tF2NqwSuFHiStIdTWrTI45psCoHIbL9vwOCv868UmLzI8PluJsP0v2lIu/a7saDVg26SMFQKuPfmBiN+lzACoefZfU3Cns2WExc0yx2HF154amhnU90+tubah/kLhgf9hQCfnZnxlLK/XhJTlTiqcvR0zMU5w+ETa+mECbERmMRSqXR59+1N3n93h80TXa5ZJ3GUQxyngx3jbHprulUVV3VhnEP/DwtXboU0sRQN+qksMZnmNiiZpAPx82yGjJhvxTz5kuahZ6p89akh5poVhO/jVB1qGoactJOn5JDJDii5InvKzHKa6W5X4OXsnQNcx7hujO+GWBvx2MseF6dLjI8KHGkyHSsGjb6F72lX2E0V3cBhy1rBAzd1+PLzIe3IoRsJfMfiximLB5Et7FKqn69GyBUyJX3KQaOCSfPtJS/gY2/u8rZbF/nK0y2+/kyZJw9XmWuU6QqXrqvRjkILgSMFjpQ4wmZSy6IQBWm4Mn34BmS+QqoUWd2IrKvJCDqhpWcSXCdgz/ouG9d0+cDdHd55W8JwySGMNXES0O15NDoujtIcOFrmmRenK5u3m19vNab3AN2/EsBffPkUzVabQ2eWuPe6EE/XOOopljsmHSQfp53XzWCIh56t8a2XA9aOd7l3b4sbtnW55/oOm9dogtAjinV/THH/uWp1F/lgRUBZALYQJksHGkQGcK0TXB3h+xG9IOHkVbgwpfiTbw3x8MEac/UKOD665lBWkqpjqWpDybGUnDSq913wnXQmYWozlYWnyP65zUBu+iB3nbQ97eyU4ch5Dxwn2+ZtoUQvVqCgGITlTQFxko5z3r8tYO/GNieulun6gnIs8CJLoMhSeyZj7zybkqcgB1qln2fPUpHGqGz6gEMvdCiVAn7knQHvu3OZR15q86ffLnNhyufE1TLhskfsaXpaI5VMy/mAzl5zJu9LFwbB/+se/dShSHeszG4b2rTRxUYhWyZb3HdDkxu2hdy1x7B2xKHkVmm2fGbn0xk4QajpBpp6y+XwGTh6scPde+s0F0/Sa//FNtrvCPDnXr0ogrD3808+/7nxobLk9GWHekswOiQo+2k5ue9ciwW9EJZ7PkvzJT7z0AgVv8P1O5b4xz+4xL3X9+gFPlGsMVnXew7yNwK4yCP1vuZLixqpJDHp6AeZ4HnpJNU4SZhZhG89rjl7pcQTB0pcrZc4O1UBz0OVNb5WVLSlok2aRXDSwfm+k45rS0GcP2X2VBnAyTR3Bm4nwXNS9k4XVsj5eTh+oYwjV6YH+xKFgR+8n2HIMykm72t02Luly7VrOhw9F9OJHaqRINDgZkUSVQC4lAIh5Qomh7zTqWBjNbn/PO2jjBKHwHGplUJ++O0B91zX5Gq9yWMvupy77PHIy2WmFn2SroORmshVCCnTnSLrypdkFU/oyxZWbcD5fTX9z5SO5DNJjA563H/TEv/jDza4YavGd8ssNdPxE1c6Dr1AZ9NvZdatlDZYj9QSrt3o0Opa5mZfGf/wxz7x89ae+jUhdr5h+PYdAf7CwSeI4+T7L16Zr9y5NyCMhpgYcen0SN1qoe1PHg3jFOgTUdqZ0ugJphtVnjzkMV+X/O8/M8v917fRyiVJVDazJC/tQT/IzNNP/Yh9wNp9KaISHC8hSiznLguOnFN860CZo+ddjp0v0Qw8gtADx0XVHDwlKCsoa0OpkAf2dO7TyG2zqS/cy2SJ6ypcV2YLwA60dxYwu06q8303wpqQ2SVJYD20lrjSogtptlUE3gd5Ylf2O4axg0AzMRoiVY925NDRIs10RAPDmFZmRQVS5klqgHzYEQJr5IDJC4ORnET1x090ApfJkZDNayNuviagG3b50fMNjl5w+dYLPkfO+5y75BPFCjyFlQqEJJGFalCxmL+qiXmQMs8awk2MMgEP3FznV/5eg50bK8wsjHFhqkyz49Lt6XSEcyQJw3QoaxBCEEIYQTeAKEoP6t0dLlSOHX7q+6VUv/b/iMG/+a1v0W431elTh8WI73DsXJV145JNE9DqCoJQZXnLlMXDwjTSIDSMdA2+k9BJNEdO1fjtP29x1w2L+G5MkugBg1O8MSmgyeaXONqCMAhpiUJLp5cy+oUrkj/6pkcnUrx6zOfMZY+FtkuQuKBdUA6qpnCloKSgrCy+Ih1npjLjkUpZ23VEWvQogtuRuJks8VzwXLKsSVoyd7TBdeKsIhpR8kPm6gnfeq5Ko+UxMiTQWS4+N32JN9i+rc3ud1+LS4JAMT6meMedPR452OVSo0LXkalM0eDEFifKc9ZZjl0mabqQ4qwT2f8dxurC70iB7iaKRCtiJxv7EDlpKtWJqLgR9+yPuWNPwAfv63HqsuTQcYduqPjct8qcn3FASDpdTRKq3L6Zpn77C231F85zwgmYmLIM+ckPLHP9tYKr0zUuzwwzu+TR6ii6ocywJdJx2JEliFMyjSJDu2vZsBa2T/gs1BXPvzgvdu7cp5575hvxXW96/RDPNwS4ACqV6qfmm73rt2xosXOjQxBJXB1RLYv+thFE+URX0lkYceo3CCPDuomE2miDF17sstwSdBQ4MsaqGKx8A8km+sN5Gh3BocOaxaak5EsOHHf42tM+vUjRixTTMy5GaCLrYIQDWiM8jZYSVwl8afEzYHvK4imbesB1lvPVA+Z2877MPrhV1qMp+uztOgbXzQ1aSZ+9XTdCqZDHX1F8+fkqytVpum2F/v7ODJ7nwlMdLokSRa/n8L67unz12Safe2yIduxTyXS4k+vwKC/K2H63kBCyD7D0V8mC1i8A3KRMHuuUyR2tiLVGx0kKdJWgVDpIf8SPuWtXzJ27IqwI+MibO/SidJzbnz/t8eJxl5InWGgqDh11aXZkppJWg7zgubCGikgYrhoWIzh4QnBxKj0gLIjSs3/i2PZHYEdJphIyQo2NpXNJcvgc7NhYZ/c2cX25XPuUtfz0/y0GbzabVKvV2lOPf3VXvRGrK60E5ca8/8463Z5Pp5cWdIJQZSeU5UMv0zaltFolGB+yfHLDEpffvciFOfgHvzqMMW8UiRSWVZZ1WG4rDh5xaTYUUst0JorVKTMJnTZySg1SI6XEkSIFs7R40uDKFAiuAlcNZvSlIBeDhgedNgLkjcdFcKcMn9lqnZzBk8IzxtMR1oZcXXAJAx9vSOJmZW+VufJWVDHzjh4G5fUByCWJUYSRw0hVsWk8xBU9urFHNxaUdJpOyz0keUFLyaK9VfZ/V/o7ZFb8MYUh+CZrDB5IozhOsrqBys4/ioniBBWltQStEqSM2Thush3DsGdzj9B2kdrQaAgOHtEsdySqr1hWBtX9uyzS3tqHn/f51FcqnL1S4drRhLFqkirW/tgQmw0ATaucQWTphIJWIFiODO+9s8e+a8DRRs0utHf9nQ98qNbt1Jul8shfDPDZ+SUWFhu/NjN76s1vuWGe5VaZkeEmV5eWqPqajWs9ukGJdtfNprwOZmJYKxDC4mjDcK3HprUJN+6N+JXPeHzxoSo9qwvbWA7qYmksuzlCYPIjF8g8p0INghwps1RWDuqs7CzJDm7N88aFV5110iuyo/fogztt61K4GbhdTd9imjJ4xuLa4GbVUceJ8LyIywuG33+kAtrFkWIQYPbliXgdgxfTZ/mQ0BRs6WCdMHL4xDu6fOXJLsdmq7QTh3KcHkqbugDtoBNH5TWBQrAnBvFNSpqyYPDKn6bvhdFa4STpvBQnA7qSg6JZ6hvP3guTDQ5K0MIibMJ42fCeNxkQSSYzAZGfn5ElgoXtA7wHnL48xIOP1fCGyojQstQ0uDpdmml8kk+3TeeRt3qSVmwYH2uzbjTg4nSFdqPEQrPH2+4+9ebF+cu/Fifxz/ylDP7Frz2MEMKdnbrIfN2w2IvxlMOVufVI2eOH31bng/e1WTvqZVNeFYlJZwJis/FrOqbk9/C8JsfOSH7v4Rpt5YPWgFyp1cSqV7LAJQtehJT9FjQlwBFpWdkTqVvQkenPWpJ5KrLu8dxIpCnMQSE7mW3QVT8AuOzLFs+1/ZY21zWFwTkxTsbero6QMuTijGC+6SO0xpOskCdSrFzPhdu9wjlZ1Mdxoghjh7FawJbJLidmArqJppeAlwicxOLEmQ6P6WeWBjyhVnQq5AWXdNJuPrFAFKSRQSeGREmUzo8vV5lZLUEqk+0UZpCazUAu8t9NOiVLZNOy8gRBPxNG/j79+yUd88l3dvjiEy1OXPY4M19m1lW4OisGZgBPZ61YurFFypAPv2WeH3qgh7Jlzs+GODKk3lJ4zjTHjzzoGvP6RMrrAB60TmKB8UpAoz7MiEqbiXeusVyca/LrX+gQmBb33tgjClQ27Uj1b5YUFq0TlIo4cEzxh98e5/JCDVwvlRWvA7NIt9U8ABcCyaBEnE6lAkdYHJGBNpMA+fv+n2VkP7CC0m+wdZVIwb4C3DJ9dXOg58FnBu68+0ebvkRxdKpPXTciJuLrz5aYnS/hDCncooejmEFZpUixxXShWBUEKnpBOsH23Xe3efZwj2bs09GaUmwIs3K6kgNDVG44E8Iw6BzKA03RT0umqcNspoqFRKW/UxtBrAQ6kdkpdqmXJ86APiimmX6BTUpTKLxl73MLbyG12we4GAwZipKEdaMh//7nF/mjbwe88FoNpDdoDu0zgMGahCRKuPemJj/xwSbzc1s4e3kSKSEwFiI4Pxej9Kk3NOitAPhv/eGjKF160/Tlb986Wa2zbUOXOFKM1FI33vGrDf7t5z3++WdG2LwhhmwSaT8lkNGFEICUnL5cot7xwNcIqZAUOkXI/dxZsUCAyl+FRUM/1aayknE632SgcVUObJmeJ5+PQigCuz8HRZH2I74RwPOAM9fdOpclNtPbK73krhPhOiEzDcPLZ0qgXXQmT3TBoJRX+8QqhKfOSVu8j/18eJ4TjyKHm3YEjA13adTLdGJFWYETp99FJTZ9RkWAk4K8/4uyEdLFaVXG9qdUGWVIjMAxgkRJEmVIlCDOQF40r+V2CJmDvADq3DIhMBnIycCdAz7HxcBHpKTL3fsirrumx+krQfrvCYkVIp8BWsgySbZtiGn3JP/5CcGpcxGuhpGqoRtBpWzYt3Ps1o++/743ffBdb3lm3bb3vzHAh/0I1+U9L05x4+F6SIIiCDq8564uM3XFQwdKLPcqYBzOXyh6KrJRD3knR8ZZ0hHUhlIo57ZL2V/hA4Cnpwtn/1wMbljO4KstnDr3RmQe8NzqmTYX550qqSxR/e6VAbDz5tuUvTPNrenr7TwlmDL2ANxO350YIYh48GmPZ49WkZ7GlSKdv913EA7a6AaOv9XVzKzpo8/iMpN7im7P4c59Xd57T4vferBKmHi0E4mfWIKYbOcquv5MJufMqgX1nZgcjJbptDAj+uBOlEQpkzK6lNloCVOwIhc9QHYA8hXV5iKwV8uVAfg7vdSLvnuT6Wvv/NhDm8Ul6bRggUnA1yHf/9Ym3zzQY76uePddEa1uiXZHsX5c3njuin2PSeQzb8jgU1OXqVQq73jy8Ud/qMIyS9EYyy1Dsx3xpUdLNDqSRkuzfUSgZYJgcLESkxYt+pONbN5cnAK+OOKhaKbKt6/8i8sCKCQDz0NxtEHO3OkRJPnPZAxOvw1rBYtn3TCOWgnudJzCKubOejbdrL3N0XnDQVx4RoRE/OljNRLrofrVy2KAOdit8szGCg2enUbcb9czMp0OleTBpkbg8LG3dPiDrwcsm4hu4tNNBE5Mn8WltMhY9E1nabpwtfdIFlKTogByQaKzaWIqA7m2KJPKlURZVJI6GNPqsexbkwcpyqK7c2BjXiFPKIQF9Df6fjU7d1Wa4vu+zSBzJWb3faIa857bDY1OeryjK1ySnuboiQBZ6v7QXXff/8Ts7NVH1q7dsBLgkhCM3tGLmtu3bJjhzuuqTM/7zCy6zNUNnZ4hSdIj5vpjHrLm0v5wzGwEW1Q44yXuD4ER/Q6P/JF/aVkE+ip7Zl+Lr9KcOeiLsz2UEgMtnjnuVgy7yYCtlRhkUvrpwLTjPm1MthlzDwJMXWBvzwl5+Yzk9JSPVQ5KSlxp0Kt9GgUBvjqLkj/7bXtGFPLVKcij2GH7+oi917R5/lSJSLl0Y4EvwUksOhaZfMu6cOJMhyNTubDiV4oCi4uCNMoH9OQElfpdUnBn7WzKFsCde4FsZhMYOEXz3UOs0t79rGFBLg2+Zz52OTuGJi4M+MwIc+COJPu7gk4P5pYss0uGqaWYanmabTuXtrfa8Y5eL3nk9RIlWUCaNkEQ8O2XJFs31PngPYJru8NcnEnnOjc6hl6QVi3zCbB5K1KSpEn4OGYwYSk7ei5KRDY4c3Bvixe/v5WzcltXfc/3IO02kCwi7Z4XA3CnQabod4vrPrjlCoAXh/+k3fb0gd2vVvaZO8HVaWEn7QqKsET82WNlFhdLCE+neffiIlztQel/UVakCPvhS8HH3c9NG0UUacZHJR99oMXLZ2oEiU9HuZSSVIvndlYlycCd7xUmy4nnIjKTKqv0uMnmPa6e7psYiTL5jmT771OAy+x7mn7bXN7ln/pUKMiVfGmtXGgDK6/MTlyWWXVc9hvS87OCjBmc5xnG0AsMzY5hcTl1tnaSgL9zf4M1VU2nG3L64jxx3Hu9RJm/+McsO4JRHTBWLvP4wTJBvMhd++bYv6PK5Zlh5uqaZkcRhGkHRpyNWkvyk4RNOgQyHVxjaAeZZTTOzqvMey7zm14AQHHlrwbJyvFiA8aWRQZXosDiuVyRKL0S4K7OBgA5+dGBWYVTW5x+Kd5k75MVT63Szp1jF+Hz36wSSBclVVa9XLkQV1cw36B4nWljVunwTIsnijjReInmo2/v8ZmHOxw+VyJSDh0pcROTZY8EMrGF62TT9jJRNCKb7HetPLeoyOSJAd1PIVp0ko+VMKkU6vdt5nNZRH9Bx6v0+MBHVNDcxbgjM3+FkaIbKNpdRbun6AWCMBqkB5MknzKcVjaD0NDqxiwuJ1xcMGzd0uJ9+wLetLfCgWM1HnzkDJ2HppAFiaYBnj90gY3Xbyl/+ff+47bpS+dZO2J4017B2QtrefVUi//5R5fYvE6BqOK7il6Yluj720zO4EnqUekEKRhSO2h6nnl6ge3rJUohi/KdJYroA2f1OGRZYOw8yMynNmmdH/KaaW+1Ctx5+d7JG5NNOjOk3yKW93TG2TNCOSGnr2paoQtKZ/LErrLHrnQQvi6LUmzXW50Lz7pxBoUfTcUR7NrQ4/DpkMR4dI2Ln6SebZ1pcCVSEKSFpZw1DXmQOWByMahwZpkK3R9smv6ZMpDIFPAqO51CmsGEgHy6VpJ39/cTAIPgUkibmgX6i9xmvzv93nGcnm/aDRTLbZXaObqpryk/szNvVo6zWehhlJ6CcXEeKiNtfuYDEe3mBM8e8qk3LddtTLh25+i2H/nkf1vmd3+wI8SuFODL9RkOPNN6+7rJyj/yklm08im5mqkFxZefLvP0kR4fuCOhVorR0qaSIx92Xhjek2TbSburmQIa7aTPXukswpVsJshqOqwEtyiWucWArVPZUhyqmYOcgUdaFUCtVp5i7CiyXHgK7hTAg6FATlGeFNlbZX2dbshSy/Afv1hlsesjPCeVJ9Ku2FUGg3Pe2Ca9AuiktllrBuxmjOyX7uNYUytrfvb7Wjz6co3FwCWUmq6UuFkP5WDkQ8bgRT+9MH0brcVk4DZY5KrMisgY3PaD9BzsSoqMwVNJlPSzKBmoV/VuDlKWtrCLrWxUzuCOMbDchKn5mE4vyZRAHnwXxk6YdGhQL0oTFvfvj6nXh/nSk4rpxYCSF4GMueGWPf8o7r74zHKj+5U+gzfnTiOVT699lQefD5HacsceQ7enMHaE+uIa5usxnpvq0uIWV2SkHLaek/Cyshw9n44BUFlxbQVTr2LtNIsyAEbx8NKiNMk7ZPrAlgKpBuPHVAHUWkp0Jkl0H+C55jb9oNLRpg9uR+f+i5Xs7agI1w35k8ccXjtbAukgpcTLrbGF1Gb/jPjsS35HN2Hh2vVPqijIlNikLWdx7LB/e4cP3NPkMw/7GO3RlS6eFP2ij5KCSAzaAlczuSgyeaHRu+iJMQqUTXcFY0UK7nxKmIGkPz9FDAC+IshM+ziFHAB8EIvYFYAXIh1Yiuhx6TXB4TOSsmv6LLj6+thCJm5NTTBaGgcRMjTSQpcS7trXptOznDk3y5NPnaPTCwYSpROkk0cXm5LZJZ9Ls8NcvAyjFcGOSc3urQqLoeT1cJ24f97MoKUsc+vlc0e8Dk+eLHNxcYKaA2VRYDhBOiKsfxPeIGfcDyzFgM37DPmXAVwOAK4KHmqd+VIc+lLEUYNsiVMYDjTQ3Cl7OzqdWlVvGP788SoLDQ/8LHsiCsHYd5AoFBsCCgL8DdN2ecrQSEySZ1M0IzXF+9/c4avP9lhse4RK001klp4UWfZGDJqxJf17kwPb2kHXj+mzeT6sR6DzzIrK3svsZwmJon/diyAXUgzy4vmuuwrgUgwWXHrP0rx6yUsYHWrjl0MOXRnCVSU8nbo4HbVyXrkgvb5+1qRy7JzEmDL373MYqcVMjiqOXOwQa8vYqKDUS/9lfeHCScbGRrc+89zzP/f8gSU2jY5w3WaHobKgVoHxYcOa0S4TIx1Gh7oMV0McFWcpofykLsNcXdDsGC7MW77wTJlHX6kRhpIhx2Q5zAEoi/Pv+gEZIrcWr5QoeeFkBbBXzv4udrikw91ZCe78ZIOcuVWBuV/H4Pm4icHICa3SyuX5C4JTF30MHkLqfnPuwD1YjB9EIauRI32lF2XAVKIgT0Q/k9FvN0s0WM3uLSHb1/VYPFHCJm7K4kkqU3QhizPohBIrJEJ6VKAc9MHajM3tIE9upOjLgmJso0x6r4wk0975fRmQUV+Hm2z3yBZczupSCJS1gETJBGvTVsHvf0uX9eMtvvh0ldlln2bHYXnO6TdUCLKzPZVgpAzd2JDYmE5Xcv6qZqjiUKuUqZTLVGvzdKMbf277rre/evbsmQtakBCHvUml7DvGh+d5x20Ojg5wlE1nXZdCquUu1UqbizMJX3tOIZVdsUqtkDx72OXk2RLNxOPiQoUhrVlXTYGkCznqFcFiDvL+TRmAWhZ+ln3mXgns/qsiGwVczIMXn9mR1qoI7gLIs/PqncwamrO3yn7WOkKpiK8/X+X0QgncgTxxCqnL10uulcHlG8kU87qAM69ortTiYai5Zjzk3Xd2ePFYGYxDnKRa3Emy6m6yUirlIBtMdMzThjIL+MUg2Mzfy+y9zHYVmT/Ta59kO4YUGaubfIe1K+7l4M9yOZO+WpV+CilSq3W757JmqMIPv7XF22+u07MxR89qXjjkYmWBKCQgFd9+pcLJ6RLTLUVlUVFzDRWXtIjnCHZuWGLbtfYdvTCYDCNzQddbMULFXJpN+PKzlqeOx9g4xFqTAk2BlC5SO8wvKU5ecLNqWZ96ESJtfpAmPTJjQwWGvHQUg5/5rnW/yjiwkBZBXNTaYsVFyv7OKmD32VyJQhNuAdzZfMLBsR28Hth6MCCoP+JNmwzkcSpPVESpHPL8ScVXHq/Q7blQ1mgpcMRKabL683+nmX5FpbJCf69KGRbz4lGsGapqPnh/j4ef7XDgpIutOHQTD1fQX2iq//sHBDQA9wDkxex0GnxmC0ylbJ7IVI+bAmvnu7DJgktpRF+H9+9RLpMk6T/P05YmY3Bj0f1B7xpEKs0qvsNoNcTzQraMxbz9ptzQlTsUU1L9+H09ZuqqH2s50qCFTefLxC6+jtky2aLid/BUG+0rgysNIyWoKofmog+2RJQNS4zNoCJpjGDIG8TD+c1TArSfdc6obPZd1vvo6Px0hcGg9aJ3uQ/g1Syeb3v5Rcv/XVU4vUGJzJsyAPcA5Llt1qL1YISyzg5h0mol0J0+WyeZGzINMF03JAoTHn6uzLFLZXAchFQZqLK5IYXgUsiVLN7PGBUzKkXWzj0YhUpmCnLZ1+J5ujAMNXs2x7zz7jaHLpQIYpdEOnSNwk1Y9VnyXDirGDx9tas+CypfbAajBCqvWUiBVSDtQI/3d1QJ0hRmGZrBrjHYpfNrIrLUYnaanspnwgiiSNILNM2OVwj080KS7X8Pa2HDqGByeNAFFWcFoyhOnU5LywHzdRdZFoShQv/mH3wDhEIkLe6/oYxWDt0Auj2bnt0YJHR66fESQWTSg4UGwe6KbUkL+tVEnRmdcvANgDoA8qByKXK5VdDmxQBzcALBQJoUUoV9xs4BPpic2pcoGXOnjG37TK37r4P3ThZcahXhuSFHLwoeebZMp+tCxUGK3DlIIT34BlXMwvcchEsDL0qKrsFk3dX22cFcE9Xv9qlWQ955V8BXn+xx6JwH2qVnJG6mxZUBlazKYCRZQkCI1Gg96ATuA9vadOfrSxeZsnm+q+RBvrEp2KUZFNqEybMphXtpisHlqoyYTAs5USxQkSRQKrv2dnCGZ5adyQuCNvM4xXF6JmgnUHS6kk5PpEcw9qAbArbEDclLdJaPEYYJ+vLsVaJYsmaoy769LbZMukShS6Pt0Gw7zNc1s0uG5VZMu5cQRrbfmmYLLF7MfBQNR33GZmXGBFZKkdXvU4CvZvBUbxermUplDsPMUTjYLQrMrQrMnYM7ezr5FNrM4K9VnD51hONExDbhwWdKPHW0BL4GmTY0OwUL7wprbPFZ/OE7aPCV89BF/zTyPKOSGLkC6EHP4b79Hd79pg6vXfSJYwcrFF2hcRL6n0kkAxYXK5bW65m8OMReqSxlKFM2T38WSCP6Orx/f3NGz+9XDupCDPVG6eB8LLPoTwROzxOVyq7w0/et17mpLxEEkaTVVSw1YW7RsNBIaHYTmp2EIDFsnAy4tlcn7gnCEPS2telW3+44/PkzPls3tdm+rsnOjYLhYZ/R4RJD1Spnrzg4WhBGg5PP+rxUDKz6g2gGWnv1I1+V4nUXYcDa/dMGilkTsfICq+IzO7FgAPTCUw8OQc0B7RRAnWdO0oxJ+qpUhOtEvHpB8vnHqoAL0kEI1e8iUtlBqsWqa/F70JdyYhXAGHhSijrcFDS4TU8MNipz2fXPiddYq/nYW7p867keB8+mkwQio+gkIjN8ZaBLMtYuKO6i8ibzpaNYCfSU2LNFaDEyO88nD4pz7S0zNhcgbCFxYIqgLs4yXLmXWVYnGfLrWCwQpY/8LM4ggmYHzl0NmVvusRwYhIjYsTXimnUJ29Z4tLpDnLjkIoRBpyfxCqx16HYETx8s8c0oZPe2DhbDNWsbbB7XaF2mXNJ4bjoWecXtEgWGzhGfUVTODCuKQdb2/8XBv5MzjsgAXtwBxAqj1QqQZ61pg8OmbAb2fAD+ANwrWLvwmjfW5lJFqRjHiYmSmCcOlDhypgSOAzINLl0x6CpaYS2QYuXNWgGoldCyhTf9BohCAW2FuzCRGJVlVBJNEDrs297jvttTFu8mKYsHwqVnQCeiLw9kkqcLs2ueFBYZA+vE61KXEqyySCtQlrT6aQXCCqwAacVAquTyUq5a6BnJvW7XYsDKfevsCjUgCrha+fly35PrJtx1U4ONaw3SSvZu0fR6VeaWBK2uJjYaKQy6HTiYnsB3Q+6+zhBFLvWm5sKMz9xyQmMporFOMlKz+K583crqJ+PFIPBE5Cvdpq1RycozMPtjkbPFkG9b/bSgKMiTQrCSn73TP704b75d0fAwOLpEqVXgLgzF72dPVILSBYBnEsXVEaenBZ99uEoQOVB2MnlCvzVNFU8JLmZOinfnO0kUuxLoRZmSH9A1yKis1uKaiif55Ds7PPhUhZNX08WXGEUnUanLMMmKP6T0KpJsLMeqnSSnqiLAZV45tKkktDYNJq1Md1YrRQrw7FxUIQa6vA9w+fqvbnMm7turB0ec2GI3GEUVUCCH7No6SrD/Gpftm4aoeILZJY/HDyqWm9CLQjaus4wOpdZu/ZM/9PG1p8+f+J/mp77NXXuWaLR9puarnLpYZnZRpamXbNqq66TGJlkMYPqr1fY/R9Ghls9NSW2QdtXRcrxOzgwOQirkzFeZrGTB+6H67F0AtsyDy5Xgzmf7DfR29l6agfbOgsvQxnzpsQqvni6l7T5Co0RaudSZB7vYXFyUKRSuy1/4WKHBB6lCm2VRrDEpsFeAXGKMJuw53HRtl+97S5t//4cuXaPBaCIh6Zo0RpB5wSXJY4RMSzDIrNi+HsmIx6bfy6p0V1EWbJb7tnYA/hzc0mZkZAe6W2ZBZvEaFEfWxUk28yQ2xLHJuooGy40iHorvRSqnXUfSaCtOnBsmjGF2MebE1ZCpekSrHfOm/fDBd97/P23buu/v6lPnzg1fnmq86+kXJIdO1tLTsGLYMC6YHFdYUlZ0NRlQcv9vDrrVrUk5wAVhLLK5cvmHFcRC9CVOvjaLJfuV1tjVPnC7Qnv3gV6QJKqgvVX/pIfCQVTKrpIkuVMw6YPb0RGnpiR//GiZdP5Kyt79zv2C7aA4XrjvtSkQ9wo3oRAFWbJK95qiN2QwVzANPDNgW4lJFInKtHii+fgDHb78RJnjVxyQIVZIeomDplBFFCCS7JoneeEnZ+6CdLLpzzabjZV/NpmBU1qQNpUtUhR+FiJNc2bXwWZENcDFQJIk+UG1oaEbJOnEqjg7U3MFJlbXS/JzT9MMXaeb2p+tBd9LeNedIbExWAM1L8JXjXct188Oa0WHyeEe9+yHRmeIRksifEGtJKhV8kZTO9C5GXBWm22KAYUldRaGkaTV0VirMhN7drEK9C1hZYleDra4ouaWOWPKgRzJD5vKg8qcxdUqcOdHp+hs9LDW2bD8PN+tYpSMURmDJyrma89UOH56oL2lkGnuu99BszJ7tLqCOfi5IN0KW/Xg/coG5BU58cJEKm1E6k2RgxJ+GGn27Ah435vanP1jjzBRIDSJ0HSFQCfZ/SEPdPOMSiFNmIZ6fWJKdXlWUrdZpkUW2Dx/Cjso8QswMgW+yYnPDkBaXEDGplbYIExodRLagc0SF6/f1YtpxxVJBSVWuEqrZUmpXkYKS6NjObzY404X1q836ImRkKTUoiKmcJwSZd8jCP0sak8j+By8Sti+bXJwdMhgEQzAnm5/cSxZani0e2WSRKVWCAZfusjSK4O1AUMWWTv/OWftHOw5c/eBropMPtDdKg8iZUGayMHQfKUSHCfi3LTi//xSjZ50yCdoDbrms4tc9EAXJUmftv4SdZIH3f0yue23sA1K9kUNLlb4UxKjiRMHL4n5mQ+1+eITZc5OaVBRJlUcukKgcnmS6fF+sLkK5Hlu3gI6X3DZn8lctpCzdp4TNyvYPGVumw5usivva76lyUxmxAnM1tMTjqNE9IHd77cVhZ27b80dXPuB9BHEc4ZD56EbJ5RKhiQJ2bgskFWFbrQ8lupVjry2juUwZL7R4d7rmty1V6BlhTBysEb0O6fzZtO8u1rJdGaI0un0I0hfm13LfEPhlRVLjY002qUVefFBuZ2CYWeV9i6wdl5IWQluM5AociWD6xX57VxnF/V34SlTFnd0SDM0/NZXa1yd80DpLDUoM3liV+S9++8LUmSlk3Dl8YHfQYYX2DtvPCj2aOYlfNl/9pshpCKJNRsmAn7qAy1+9bMujSidemStJDAqTRsm+eewkBTThgOQr8qLZbI8jZdU9tmUHbC5tanXpJ9xyXLnMvtZpnIepTKzrkgHNwkNvquwxLSutohdwVzDodFJ/T3aShyRzbJxbNYKSBr3yMECkCKVcZ1EoJyAu/c3ufu6HktLFebmy2wfh9FygrakI2kPX4AL8zVKosrSgqHZbvF993UZqQWYfqUqBXbaBJBOPZIyYWHZECWGTmx49aRmdknxynmfb788zFjJY/uYZWI4olxSOFr2nYJKrdLZK4A+YGhZAHlfe4sioAtMrk3G6KYvTVI5YgpSJWfsuP+qVYT2Ir7woMdv/lmNwDipPBGqL0/6TcWrdp4VurufMi3C+o0hPkibFlOFRdDnJXuLMaZf3eyX8E16FLivY376I21OXXT53a+lWhwUiZD0TNq7KRP6DD4wYA0E8iCDO0hXpuAeSBZrMzYXg4BRiuzvCJGeSysHaUYpgSS9z1iBUOk5ndUS7Nxi+b4HIoZqizz+Khw65zBd1xw76RMZh8A4XFpKHYU6S2W7CpSQA4BbcF3DR+6MeddNVYYqNdSGkNOXeig/Pc1PKwW1suW2ayy3bk8PFB2qwN5rJONDAYkNEGIwk04pw7kpwYXptMvDCMmfPVpibskhwuHouTILiyVKZc1EBTzPYLJhiiaxmb+mMLlKrcxr94FdkCf9uShqcFKbKsiS/rmY/T/LwVxgcjlwB/Z1d/81nTW4VIcvPlqmHuTgTgHuyFR7a7FSngwC7YK1oIBn8Qb4LmrtvlTJ/sEKV58R/aJKsdOn7xOXEmUUxmjiRDPkJnzorR2+/EyZxZYCGYFRRKR6fLW7cOWS+85MntaBBkWh3J+SB5s2Y3El0wRNn9Hz/0zBhyLIemV12qBskiE0io/e2+bH391hdqnLsQtNDIa5uuQLj5ZIkAilOD/tcvaqi1D5yGaJtQoCzWMvVpmbUdQqiolh6AU9du2SuJ5FB5HFYFgz2WO4EuN7aWNt13R49UKPR55LG0NlWiNHacULxz1ePu2DVAip6XQctNVoJamUYNukpeZaap5hqJyedzM4Cz0LDvol9UEeewCWwuFH0ha0d+GYbvn6oDIfTjMAd7IiwMyDzPycG11gb6cc8+DjPgeOlDAF7Z02NeTyZKXfpF9xK7D3ihRhsdjzhiSesWchVVg8BrvYDGGLQaeVKDvIi8eJgzYxd+wPee9tHX7/6y6oELJJUYHRKCHSI0jyQFMMQL1arlDIg6u8RyLX4bl3Rq4EvLVZh30xEJX5tDK7wmeeJNANJAvLHnEsaHVcSvUKlVLIHbtDXCcCYt55a69PRK+eVrx4QqN1qvORgm6o+fozNXqhx3RTsxg4TDUVrg7YKSI8N0YbA4tNwZOHFAoHYxWxcWgGZa4uW46eyo4EzFaNkBJXy9QlCDjAyDCUtMVTJj3vJuu6KPuCsp8exec4xR7JgVd7wMArwTzIe/8FAFd5hscM3mdmnVRXFyRJnjGRBYki0+yJ50ScvST57INVZlpuuo/KdNC7EgxObFiV736d7i7mbv9idbJCfxdHSaxuRi4Gm3ZF1316fk76mh5/sraS8CPvbfPMEY+zsxJEBCgMkp6QhUOkoGijFStW4UAm9f+/X83M7kPO5gXAm+we2azCmUuatDySzkuJsyPcg0igA4mS6XD+MFL4vkOr67HUTPoTfD03wZoEa2Juvjbhzr0JMjtsTMqEMDa8ZV+X6UVNq+sQJZBYSxAkjA2RavpOT2MSh02jJYbKPvWWwlrL6amQi1ehXE2PfdZi0FyrBWhp0q27OK5YZ2ehOwLPGZx3kx/Fl84CZNAAnOnnorZercEHbF48zXhwHn3e/rTyfdIfGtkv6OTjgFWMkgk6Swu6bkSQGP7zn9R46uVS2tsmdaq9pUy7dsRg/kq/yJV/Vt5Yhw8qmgOcvy5VuKKCOcha5My40j5btNGm7WYmz6gkhlhqVKy57+aQv/uxJr/4n12CWKYX2kjiLKsijSh8thTk/ZHHpFq535KY63CZ5sdVX2JZVJ4pEbZf5ElPULNIa1O/iip+L0PeO9Af2J8ZqKJI4oUKz3FScGcjO5Qs7rwDf3j+3lGGrWslU7M1pqYrWGtZbqVN45vWC8qeQRsr8RzYs6XNtVsaWOvgOZaHXop56XwND03ZHYxFUAX5oPouPpHO/8vmAOYAd7NTE/LTytxsVJqjUx2WNyXIVfKk35XS1+VmxUyOHOxaDtKWWg0moK4ILvvATrMl6c9xn8EdN+axgw5ffqpMEDpQ0n3t3WfvVdH7G1piiwWdAqBzj84b0XchxqR/TugKcJN2wBTZ2w7miUuTSpUc6HGsKZVjPnRfl28+1eVbB1WaNiRNVUVC06XgfLSD3tg+W8uClbewywyCzezvZPn1fkpQFIo+Ns+L567EjM37/8F8ML8kTixhLPBCmY6q1iqzMg/qGKqfscsGd2b3tuTFSNnmhVNNvnVA42pLImDrhGXvvjRdraPYstwWnDlV4vxsl7VrFjh63uepw8MMe5JhL8HTgzmA/UaEHOR9/3fe3CBwnEzG9GduS5xsNHFaUaRfmJFvwNzFKmk+TKafIsqZXBS0dx/IpsDcBaAXhrmnmjsFt+tELLctDz5T5uS0n24/QmexRV7YoTBByr4O3H3JkjN5DujvLLxX4tzSL5GvsM8Wpcqqws9qv7iUCmkSpNFEgWbnZMR772lz4LhLI8zKrybV4yHZlN9cj/fBXcyLp5/dkhZ38hWbN2eozHDVB7IYAF0I2/eKy6wAlPeZGpOW5VMfSipXwljgRSIdnxem8yMdZ2Bzzglw0G86kKKeY6iWJR99c5sNE1c5fEGyfmSIIUczVMmI9O7rlmk1l9i/bo6zsy5/8ug6gq7LxkyaDMriK2d9CJFXlBh0sWdTpBxHZoPmU2C7GbBdZ9CE0D9E6XXFkpVfZFDsKXqH8y9uCrLErAgy+wFlXsgpZlFk2ilvSPi9r5f4zS9VsUKnee8V7M1Ae69IDb4e6H3mzoD9F2rwgiwpsuRK/Z0z+etb2UxetjcGk0iMTPPiShqixEEqw09/sMOZKYff/HJ6CkcOcoMgEBJl8kESGbiLrW39rSWr4JBuAv21SEGiZIxuCofDGlHwhuf3LBEkSqATkQ6Jik023UoSOjI9lMARfanr6IINY4WhbTAuTkmYr3u4zhC37gjYtanL5x9P+MZ5yXQsWLdGoJdbgjMXHb748Ci1cokbt2hGqumFXmyk47Lycmmqp2z/RqbzAUU2KCaf/ZePKSaTI+mohr4fJFuVq32/RcPWaoALUaieqqIOL4BbrZYnK8+sV9nZM6kGj3DciDMzki8/UaHddqCkXs/efc/3QHsXCzyDvPfr3xcdcX85gxdAX5AsxbklxuR+jwLQZQ50iZGpFpdSE0UJ1UrMB+/v8PDTJc5MZyyVDbBOhKCbFe/T7psM3HYAdgtpCsQM8uQqlzAG8umxNpNSUqZ/Ndf2/etR2OnSe5VORdNKEMVp80kUSYICdtIdXhQkbKbxC+QgSPMeQQCLDQO4jNSq3Lkr5k17u4SuIlEO2vdLrB1vc/9NMWvHQnwvxPMiXjtXotnx8ByN46SnohkDsbHYrNvh/2rvv+MsS8/qXvz7hh1PqlzVOYfp6cl5JM0oJ5CQQEQBJlxswDb4Gl/AYF8bMNdggwW2CRchIZCEJEZ5UBjlSZqsST2pZ7p7OseKJ+/0/v549z5nn+oeSQQxgvvbn8+ZCt3TVXVq7ees93nWs1axF1l4kBTALu7AwZqYHr7cFOAcEeKsuoYeheUD3WjnpIjUkGX+XYrbkCVaYk/eyaCSa53QjzO+cH+FLz+SqwWlYwG+qnoPXjWEYERFWXDZEv8ub/B8QyXhaEEfBXrpkWV5G67opORRJJZ3Z0OakklSIVGpJBOKuK955WURr7y2y7HPOvSzfGRsyy0Jmp7AKg4piosYTG+K33HBydWgo5LfJ/nPaPLnpJB0XPBFqyhS+SvgcJWwcP/Nhr7thZ+ktue6wjWhjL/MnldxtUDIlMVWkyePZGjtEnqSRijYc4lLfdxHb9m8YXmssnJbf6X75nv3Ryy1NTU34clDDtNVj01zikpgD5PdvqDZsUObYqtdq+LQWAb1qP9IsS42AGhx3jCrX5qLp6dc4csTzVFwl9MHVvNt2yZMS+8nSGk3daSbcOdDLr/9njqp0cPOiVQIIW0OUPELGVTs0uG3ALS8cPX+JoaYQ2SXn4eR58KM0BUbNJAfPDNBJoYdlQEnl7Y3LjJNkmS4bsov/1iT/cc1dz4oyVyR12H7A8SZokuZUA0ls6gc7CM/iBn+cd4AGLQ6MYjyK9Gq1ieUtUTlVrHJ85NMTnGzvIrLge21UnYPIUkNrU5KP7JDvTDQbFxjuOmKlMmpPtrrs9Q0PP5clXVR9bZN0+uX1Y6tY+2TJxcOPnUk/KnP3+9x9ESFbqfGpimPrWsVG2ZTtq/rUKv0aHYUvb5CSYHrCgKP/GEIPUPo5w8vJfRTQj8j8FJCLyHwEwIvHeRMOk6KVuZ8mjLSQSkfJM1wHF8C94CWyFXUpNQDHw507K7l8UXBb/9Fna8+UrEnX+nmklgHLQWBBE+Sh1yNLhef/8h3UAcmOaNmRCpf9yqo3GBntcTrhx8X5kfFzXy+Nscmapd8T0YO5qvSFgxMTiR42vDA4y7LXbnqpUYOXMSHisN8CGRGlZDFSEjAyL5K6T4dgDnNhzlxClGSP1LyPNWhf3xhspnkHxcW3GnuT5ildjGiXPja3T6HTkecmBdkaUoUCyBg5zqfvRsEG6YEQjZYOLfyoyePPrVft7sB3Z4gdBK+4+oIR9lQpol6xrrpFrOTKzxxNOKeJzzOnNasm1JWnuiC5+UxezobRO0NjOOL9TCdjvYyc35nLXQVcayIEkmSSISRA6344MA5mCCW2kWqXMVHqUm5LWgPlrkUNn8/dVP+4tY6n7y9gvEVCGXRKbSt3qV9S31e9X7h9uBIFuaFXqJXU5IXAMiwqo9u26/e8Mly/0CTV25jsqFGRShklpEKjeymvOXmLk8dcvhv79JEXjLSqDeZQz/Xzogspylp3vcrdVfU4GfJ6YpkYF5rW47Dn8EuNdjA2CiBOO+iFFVc5zTFkXksojY2IlEXaXgCJxa5lbXEcw2BgGqo2H1JzMYNi9z1pMeDh6qsXYTTC5KDxySuEyJliu9LpirWOUt7fkKSambqHTbNnCZOa/iOQ+g3OdPs8gefcnn4mSpR12PDhH198hxrnBj6Gb6b5WGp1phzaByf5XEfJacomSKktQtLMkUUOXSkS2Ycm8uSmsHr+wi4S/3vAbhXg1oWw510+MiHOrKkPfnigx7v+WyFXpofFkTRGrRyAleYEe59wdF8Geiw6qA8+vYbcRWTH+6K3vN5E03MeRJaI0uTTVnqrAhlhVkyF2fJjDTTeE7Gj72+zb2PuXzxkTzoiaGMMzOafiHkLpra2ZCTF0sQg1KfHzwLkEs5/BEN9n+NM0E3hmYkacWCfv7v6Px848o8hVobPMUggdrNz2tensDhpUPHW4Qk9H1efpnPtXtaPPRci0/eVeORoyE1RxO4Md00Zu9WWDNp7Zb1Vx7NSNOYqqe4aP0411/SZ7m3xIe+qrjn8XFWlj0mQ8XWGcnaKYd6VVILM2qVlIqf4nspXp5E5jp5CkKeRuZoqwfwnAgprf2ZzNtOaarodCsY06DXcwbVCUry2fLwp0xLypSkXMnL2u4y0GWC0jGdPvzmu+scOuFh9DAteYR7l4dZFxrscD6IS2fLIZALPH8dQl5uEw4qe4mPZxfk4+drUzKZKw7laBUXaYYQGhllbFkb8x9+YoV7f9Gj1ct/mEHytCBF0x/QkhzkeSU3xcSzICqSAVfPmyZ2RkJx8LSfa0WCc52UOOqSZTEgiISiIxyMdFBaE2hBoCEswK6xgHfs+3FiA2sRKY4WHDrhEieTrJsJeP0VLa7d2eLuJ1p8/sEqvXaV63crrt6TMDmWECegv/vmKYTU9HsrdNpLfPiuhLv3jRH3PBq+YuN6wXhNMVHXjNcl43VDo5pQCxICP84BnuC6ic1vd6zdgudEuF6f+aWUkwuGj9zhc9/TY0hHI6XNtd88lfCWGwUV1yGK7DldyXLGYimTsUxLLli5V3VRcqBLaXl3ksIffLTKI8/4tucti8o97Jw4YpSWqFVVe2QpY1XlLl6ny6abF6rX51XyVZ2T4QLEcLBiwWzOVxsKW8EHh85MWpCnkkzkj1RZqpJlXL4r5me/e4Xf+6sGUSqBZEBVMIIURS8d8t2ikhevLmLwtrgtrCZ80EoXw+FfmsGWdX3+zc1n2DLVI06shMJzUu5/xuXDd1Q4uxywuBjSdl2UUgRaEmoIdEaghdU0xYZ+DHGa5nzd0OsrFpo1phoB02M9XnN5l5v2trnriT6PP1vjycNrGFuskaQpetve76RRb2rmUQAAW61JREFUq3DPg/v44CfO4CiH9VVBY07SqChqFUmtImlUDPVKQr2SUAliKn5E4McEXozrxrjaOrBCTGQiHj4kePAphy88XOfRZ6q04oDEODiOItCCis44fiwjVJprd2t81zq9oodZi1IM24NaZheo3imjk8qhiErnQiqtErSf8qX7Pf7so1VWuo59fcx73giFECLvnAynliPbRSMtywuP5wXDQ9rw119yl11FuM3oh6N4HwG6oTwAGlbtwhW2iG8sUxXbRkylQprM6lUSRc3P+Mnv6fC1Jz2+cJ+CsOAU+XcpsSDPzgf5sIIPu1yi0ITnN3uRsOEoGK8Krt4juemiOqFXwXNsgIDrRFx7UcxPfecCjzwr+NLDLg88FbLvYJVW32ex5+Iri5FQGyquoeJCJzJ0e9ZlrdmWLKxozlQ09WqNRrXCWLXBJRtidsx02XHx5cyuu4yo30JPNxRBoNm5TvGGazRx6mOMwHOhEhgqfkY1jKlXYxphRBBEhF4fz4vQMiZKErSOiLOUJw8Injys+PAd4zxzImR+PgTl4XiKWiCo5N9w1c2o+oapusJXLosrkrFaihCp5VpFRZBmZJNIym8A7tKj6H1LnfDMYc0ffbjGgQUnz723Vdu+lcPqXdrgHwH5hejJCDUZzaMXL0y5hy2JVVoUVvHu4VCj5F+4ukdeAvtAiGWyQaisKKiKMAipkXHG1vGUn3lbi8OnNc+dEBhdEOsC5Pb/7Ze/2cHMIu8RGoHM8rpelt0K2/rzPUGjqun1Q544UGV6rE81jAj9GN+N8FxbDK/f0+ell/Y5s7jIoZOLfOSOgMcPBxw4HNpc0ERztqsJhCRwJKFrqHpQDwyNMKLiCyqBJPQlnqMwaJZWBO6Uz8Qal3bfQ3f6gkxIelFGvdpm/WyKqyVaZ3huTOhHBF6fpVbCuWaGH8c4ToR2Uhabgs/e7dKNfNqx4hP31Fhp+yjpoh2HoCqoaag4hkCnBA4EriH0BdVAMlZVOHqYopVlYvBEDaq3KE8pzUgrcORgqVKUKA90Ehwv4fSK4DffVeMTXwkxTmkcn1OTC1VvtarnfUFpLENMjKgGy80UUQJ16e+MVO1VYC8+d74mpczDC0CbwYTTFDw8r+BSFO/nh880I0HjyIy33NxlpS/5pXcoziwL8BJLnAeBbA5JJodqcTEqn7VH1NxM0+Qa8PxGH+QkSdsSnF9WGOPRjRQV3yHwHHwvwXNjOj0fz42pBxHX7e7zkr09mt02n77HoRMJ2pHiU3dXaK64CEcjtcR1FPMrDs8fU4SOJPQyfG23fRzH0KhGBF5GLQCTGHSSKqTyTi935OcXOo3XbHXOsHFNzNNHUx5/SiO1wdEp9z2teeCpEM8d3M60I8nJkw7231C4vqRWFQQKQm1yLmW7Lr5j8HMJbehLKoGkEio814Yc2eexxL1Lk8vRZYXCebSo1tlI1ZYqRcoYrWMiMj51T4UvPRjmWpP8YCnkquo9TA0u+w1eUExV4t8FF6f0Z6sr9wD8q7nIKrpynk9hTghMNqq7Liq3zLsp1k/Fbt4LkQ9+8s6KlJLMqPxzEpErDj1tePXVPb7jxg7v/6wkSoTN+hh0SKAwEupRTFLL54fhKF7KUhwiQw14mmFT0ToKJZX1yIkl/UjiRxrf1Xiug+ckdHsejg5wHKvN/96XW2oZpRnfcXWHbr9rD7bCHj7ve9rjgac8tFZIJXjigMP+wyHrpgQvv7jBZIPPh4FzOo4Fes/uHdz6yQ8fRvr/+6Jt614jxVE+epfkM/dVOXDURwqNVBIhJBKIO7klRAqJgalxBjoFR5RbPzaaz8tVhJ4j8Nwc4J4iCBShr/DdPH1h9WbOBbQleqS/nZWoSJZPKdMB705Exq13BPy3d9c4Pu/YPpRwSgdLOx0bmVqW9N5DHUx5oFIAXYwAeKg5ESOgLhfwwXurgH4h3I84zq7Wh+d7kYXK0EjIMhvSWnRUTGZyHm7zLDORTzixxSPuZ6yfiPmlH2+y0pF88q5Kvtme/4DFBFNAiqRHfogdYVpDazglckvk3OzJpqJl9KOMdi+/8YyyWZexXXDouwrP1XkHrohKt0rP5VY2eA4DV+BpGxKbpgKTGm7YYbhxp0HrBCkj9h+L+MwDMXd8zUOqHfS6yf/+yu23H379G7/PZvQ8e6qP1nDutGH+VJVj56o4icu128ywq4HVKsepoR9BNzL0IkE/sT8UeeXTikHT3suXH9wc4L4r7cNTBL4i9AWBZ/BcOyQa+AgOfAOH5jzOyCEyr+CqqNwlvYlM0G7KsXOKP/tYhf0HPajkAx0h88HOhaq3HWaU1Y0vuDFf7p4UB0sxeqAUF6zkwyp4wcMlAmtGX6ruqw+blLZosAMzu2EuEcIMeuNi0GmRCKHs/EYYRH7ojPsZu7bG/NhbWzz4hMPhs6WXo2KIIzJAk6HoC0k6uMlK4/m8k6JSG15lbZEhig29fjpwCTaIgUQ2TiReLPFjSeQoXDfNh4N64AsOhjSzWZq9vqbbV/Riu11msuFxV0lDLUy4aU/EXLXHxVvaTDRWqPgRkIdQXXvZRbhuwJFDKQfMEXZtcIhiTbdvQzlNfncmqaEfWT1As5Oy0s7o9K1JviGfUMmiYS/ykFWRV2+J5yo8V+F7dpUt9Ay+a/DyQVF5m6Ock+OoFKUTdA5m2/5L80WI/H2ZDqr4YlPyP/+yxh2P+lYlKAuAl8Cdj+MdUfLhKKo3Q+17mYqcZ+6zCvxfb9n4goU6/095u35EVTii6ygoi8AIM6QpwnJxmWtZi0mnFLaKp1mZ9lk+ngqDyAxpx3DzZX3+9dtb/Jd3S5Y6pe9MGKw/sv0GjVDE0o72YyPKqZujy9dJyVJPGoRM8xtV5gsOVkVY2PlFboabSDydETnK/q6VPWQniaLT0yy3NEstRasr6PVNbgE49DjsRw79WOG6mqsq25lZeymdTncI8D1b1zI+NfuFT372K7+9vJT+0jW7Ftg0E9JqB7R7erDhHceCdlcyv6w4OZ8QJzFJmg1MFx1VbPQUALfLDhbgCndQwYf6lcDPCLwMz7XiIJvUluA6CV4+LLKVPB72t2U6sukvhQW3lBk9afh/P17lXR+u0kq1ndyI0lAnX5nSghGX2PP620U1L/fBi0pdmuysGt3YVaxvDt8jlXykOpcmmi+8r2lKlEUMKqsodVZEXtWlyY1Phd2pFfnUM00yqm7CT31PizOLkv/1vhrdwiOwiHQQBkRqn0OjSI2mJ3JL52LoRE7jsBtCA82MyPKhj8EYlS8c5yBPFXGSEScWI7GT4SWZ3SVQ+Q5nJuj0FGcWFSfPZSyspHS6GXE6zNFs92GpZ1g30+ZVuzV179RvT858/xf6J+eB3N/lt//77+CGWRw67e1n59Pv/Ox9hjBsct1FPeYm+kyOtQiDNmP1rp1gBopmW3D0TEovtnesqwoaAr4r7B6mJ/F9RZBTksCXhD5DYPs2Ss4+EnwvxXfjvGca50OjBNeJcLT1DNT5+H2kHagSlMrAgX3Pefw/76lx9JxrX0oG08piU14hhcDPx8VOLqrScrhCV7QLh3uYZVHUKrGUFDl/X+VhLgRDE3/JMESr5Jo7sKlbnVNUvD9MxBhq5Cn1482wPw8jwquB8X3x/nmfL8zlDb6bMT2W8dV9LmfOSYwsv6TkjvwmZeDOjyFFkBg5yFIevoCJQY985KVsZIGjJDUozhJGDNb2iiUJR9se/8Fj8PTzCccXY46tZJztZBxfMJxcFMx3Da+4dpkfekUCps6Jc7z/0Ye/dM/NL//OYQUH+OHvezOe5/PQQ3dx+oMPsLhUJckWee5kzPNnJO/7bA2DYvcGww+9PGLXlmW+uM+j0wmYrBocbXvnfr5/OajajsJz8z9zwPfsE+q7Gb5n1Ya+G9u3XoznxIM+qQV4hOPEOCpB5pW7CCUqLBaEMAgH9h1w+dnfarDvORfjyCHnHnmIwcFSy3Jr8AVG8y9EU8Sw/z2kJqVj5Wq68s2U8SFLuUCrkPzwaSuXlfQMzTpFkcIg7I2UGWmLrzFkRg6quF36zT+XV3IRZVyyLeYPf3mJn/rNMfY951q7hCw/XJlSP3RA9RwS7dAyLomRxPnAyZQOD8P+fdGbN9bqIjX5oVHmnpXC6rzzH15KcJ2MerUPqsmzJwN6SZV/9sYmOzd3EKLPX9zmceiMx7PHGsxUPU6fa9NRe7j+hpvp97vAb4wCfKwxju+HBL7LRRsk2zcI3vsFjw9+cRLf8ZgKBVN1wVzFIctirt+7wofvG2N/bnroaPAdSZAfIr0RoIPn5nzbzfBdg++mOagTfDfB92J8x2bieG6E5/fxnT5axSy1U04tClJACDu90wrWTqZMNOy0rRkL/vjjIY8+5ZIW2ysXALcSedUW+TraC3ZOVq/SlaaXpcJUBj2r3v9GCDergF1GuClVvQGFMWU+PqQpRVclMwKRL0SIzALdFJNNkdnv30hkZmxvXBiEMRiTobKEy3dH/PRbOvzyOzStnn0KJxqGtZM5Lzb2OciM4uSiw3zLwyQ+Xe2TGG0jV0x5zc4wjOM2Az17WRabpJIk17OTB9VqZch8cFTCsXMxdz8Vcsl6zdn5acbClKlGj3/5pi6+3+T9X8rYf7hBuxWy8+Iq4xNTdLuDw8QQ4IaAJKse2LQmPGi02vrOT2VoprhsvaQRQqOqmBpXbF5j2DTX4tP3Kx7Z7zGW23F5riDwpaUjnsL3ZF61TQ7wbABwz03x3SSv3paO+F6E70R4Xp9apUtiIh573vDUAYe79tX4/EM+UWJtu9I0o+IlvPa6Hm97dY91axNu/bLPR74U0B9sIpQfRQfFcu/C706KFxZVXbBilwY4I8OeUnuw3BIUF2qMfwOQD3pWZQNMMyALAyvj8pLI6tbhoIpnhQzW7m1aOweTA1uWDqoSkwl8YXjbK3s8f1xz65c91q1N+Z7X9HjdNT0qLiSppVL9RPDFh1zu3Ofy1IGQJw5V6bRDlnyPOJMkRpCazNol50C37UNI0sz6g6fG2l2kalDNUyMwSLQy+JEiSRVX7sh4zXUd7n2kxuRzsNxymRn3GKvVaFTGuWlPl5ftWeHh56o0e7WDYxX3AGl8PsDHJtZx7923ft51x/4yrGz4DxevO87chEYrDUJQDwUzEyk7NzZx3AW+/LhPGnmMTULoS0JfDR6Wf5MDOq/ajsFz0xzoCZ47rNyeG+G7faphD+122X8041P3uHzk9hr7DlToJ67tP4L9NWcxpBF//EGHex9zeNure7z/Np8zZxR4BfrOB7ekPLE0o6KqUvUe2pwVU7tVAx1GD6MjVbv0uW/2KgutCqSPUBVESZ/Cqso9VBbK/PMir9oW3EOwp0Law7mRVscyAH5BdTJmZ1J+7M0dtG/4vld1ueKiiKwnyRKXNNXYOHDDj78x5e2vbbPvYJeP3t7mr++p8czzdZpOSOw7xJkcbtDnvfE0takOhWgqSQVJYnInY0ubwJ5ZHK1YbnlsrAbcfGmbL3+tw76jIXHaZ6WtqYUKIVxcR9KoSOZm1zO5tvaXd9937+ff+LrXnQ9wgE7fJTbBZ7auSd/k0b9s/7GUvZsaBJ5gqhGxZW2LNTNnuOVOwZMHGsxWBRNVQz3U1EJNNVS5m5VZBW5btT0nxc2rtwV5hO9G+F6feq1Lu9vjiw8pfvcvx3ngyQZRFiA9Bye0hp0YQWIy0iSyU6YkYefGlLe8ssfcVMpvvkvy/Gm3mLORx+MOOidl7n0h3j2i836hRwHeVR0U+6m/CfG+ANDLYC/AXeyIlSr56Og+n3YK8opdoiuZzCXdBpEPgwrKIqUY8HBTjAkFHDiq+N33V7j3cYfLd8RcsTMi6rv0opAodklTW2ikyHB1wqVbIvZu7vH663q84y97fOWJOivNBosVj34maGSCapbZIZC2c5Q4tTrvODXEiU17SPJE5yxTYCRSaLTyCP0al26OeeWVS3z0dk2aumztx4zXU0LPsHf7PM+eCOkI99HLrgg+0+6MPqeq/MGf//n7ePXL1h6VZNdkae8KJVIEPnOTGdvWr7DcW+Q9n5fcetc0TuqxYdIw0VCM1R3qFUW9IqiHmRVpBRmVwGrGAz/J19bi/G1E4EeEfo9KYGPCP31fxh9+vMK7PzHFI4cmMG6FIHSpuZK6K6g7UHHAkZIERdpL2Lqmxa/8xDI3XhFx8baEo6c1Dz/lkRZCKqlB2e6JkgJPlFfRGHZOSo8RF9uie5J3OkasnkU5akWMvB14MA66JkU3ZRhLLUovNOfbUgw7JSM33KCDUtgxDG+20YTlVfmUrI6cKXrXWUnElhJjeP+nQ97x3jqnzzq0+4IbLolphA6tdpV2N6QfefQjlzhxiRMbiAWazXMZ11zSZfeGLlLEPP28pm8UMXJkYcMY62aVlSafac7LiyiTYrna5AZHtUBxyZY+a2aaPH9Wc2bRoeoZJhsOnVjQ6fsIvE/ve+rAH/yzH/mxEYDrVUWErtmCFJLj8xFnF5psXwtrp9qcaS7xWx/yePbIGJvGFGtnYHJMM16zSxD1EKpBSuCndsvHtYMb1yne5r3tvHJ7bp9K0MX3u7z3cy7/9c8mODhfJyMkqGiqDlS0yT0PLRCFsJsirEB1fcSv/bMVbrrEkKxoHDflZ76rzafuCnjupJNXUVvBi763U+xYitEKPmKqyfn8u1ytz5tkXsAeoExhKP9/5VJden+k/12W016gJ255uBihK8X2fUFJBCK3cCh4uMynzXZ0L4QkE1m+6mY5vxSGIyc1f/yJKpHUUNV8+RGP//tPFL/6oz1CJ2BxuUqSylw1aAdxrpMQxQ69yGXteJcfenWPl105T6MS8ee3TdBNK8SZRzeVNBwIUxs3GqXgJnbq3XMMnhZ4kbUpieKMOFbEiSJJXdJUsGZK8oM3L3LFjtP89w9Mc2KxyoY5weyYw/oZj81b1pGVYyJeCOCve/Ur0VpH73zvEunZPrs29egki/z3vwo4crzOzmnJ2nHBZEMz3tCM1QT1SkY1SKkEKX4+rHHz7ElHDaeSbt7bDr0elWqHJ5/PeN/nKnzoSxMcX6yjXI+GK6lrQ8UxuUDLrjG5uS2FADZMZ7z55TFvuDYgTVx6aYxr+qyfSvC9IrJriELLvc0gz12XQH1Bx1i+DjUpgXgE8JAfD+XfiaYMqMjqFuHg8Fnw85JOnGIDyCDyqD+RketHigWMHOhS5p0TOaiqNpoBen3JsbMuuC5In57w+PA9DTLZ43tuCHClawd6OhvoR2zDwFo4J4km8B3WjXf5tR9vc/GWiPfd1uCxQ2M0w4B+pqmmgkpq8BM7O3EV6MgOCT2d4fUE3b6hG1ktSz/S9GOXXqToRw7bZhf4he9b5Hc+KNh/VLBtrWDzxjVcdtVroyxNvjHA52an0G7tF6+5dPtFmyeO3Xx88Syf+0KFlcWQyzcIphqKiYbDRF0yXs9oVO0SRC2MCDy7olaYI4pc7qrzkbvrRIR+n26/z2fvlfz+Rya449ExUl3FDzUNB6qOIXQyglyBaJWIQ6FWJdCsm5Fsmpri7KJLJegS+h2rG5cpV+6MePr5Ckn+ml6kMwzydUoURJWGLWUriPPW08qFmlJVX8XJh/eU+Bvhe/WonlL1Lhf9oZf4aqP8fIUys5ZqtgeeQXGwLBLPSnLaTOQHzfzGSY3ga/sd0kyBdBE6oOJqpj3DyeMO9z/usm5GUQ0MQT6/8NwMP06IY0mUKGJX5xNKRaPS5199d4fLt5/j9z/S5+59DZbaVSLPpa0UvpL4ygylEvmyt6/tlLvup7S7Ge1uSqen6XQVzW7IUsth3UyLf/GdbT7/QMwjz69h1yU7bl8zt+4XF5fa3xjgjlfnAx+/tYlh/0PPmZcePNJQjcDl6u2SaqgYq0rG6zBRT5ioR0w2elTDLq7Tx/P6OCoZcMIipEjKFM+NcVSfkwsp7/9iwDs+OMVSrwaeT81VNJyMqmMIHDMAt+8KPAcCTxJ4gtDX1Kua8Rp0+y4rrQAlba68o2M8H97+uj4f/qIgyfvgAlHatRwd7Ix4khfVexVwLzyWPx++4gKf/7pNQrMKz2XAnvf54UFz0CMnpyeUV9yGsxmR2f6PICPN7zyBJE1zrXhpWRkjiVLB+2/ziSMFvoOjbMGZCDKqLiw1M1xHE8VW6hwlkjBJiVOR97KLoNphxEqSKG7Y2+Xyncu840N9PvDFPsfOVejKgJ7joHKHWUmGFikIa71RcQShEjR8w2QtZaJrZbcrHc1y0+XkuTEqQYU3XNOmk3XTrRs6+w8+fUtz20Xf940BDnlTPm7/7CVbx6+5ZtuJy6NEsNR08VzDeC1lerzP9FiHStimF3c52065+3GNVAYhFUmUsnWuz8uviKmHAqlTWr2Ue57U/Mo7p3j4YAOjKrihS01D3cmouBbcFtgMtOPF2D/wFZVAU68IAi9FYEhz6wl7+rZtr6VmbvGetweLTfmCohRRgIOwo5I/Ylk9yKoKXiC2XNlh+HGJEZVU0y94PwzoxoVAX97THPl8GfSlySY5XSmW3ckEQspVxj3F92mQmUFmdp1NZ2k+6RQ0qgaRn24dKfCUjY00GfT6Kc12AkLbQKxcvpqkYgjsEsCzvCsSp4rQ1/yHH+nylped5lff2eChp6osdT0SpWiECa+8ssnW2YR+ZBdQpBLc8XiFpabP2dMujSXFTD1lupWxVFW4jmCxBR1T47o9048vLnV/dmrCv2AduSDA3/7db+YjH/2LNJjcYM4cP0oSp4xVM9ZM9ZmbbGFEi+fPRZxYgNserHBmyeeZgwGOsh5bK62U8fo8f/4rx3j19RHPn1K84/01Pn1fg+dONhB+QOAoGg7UnIww59oDcLvCAtyz4qwg769XA5FbVVjtuP1tiwEQ+n3BX37eJ8oUaEtPCosCrUrdE2WGOpOy57cYpSJlYF6oEosSykduhoKmrJ58rgL+hRYdLlTZR4A9+G5Ka22CPD5E5FXcnkHsWbTk6YDtoKSpQUqJyjM3s0ziCckPvbbHp+431jyz+L6NIcmgn+9EKiUQqIFEIMvU0FnLDMOzVqfC+Z7i0m0d/uDfLPOZ+zu84/0NDp9yueLSDr//L5vU/TGWVioIkeHqiDdd2+LM8gqfedDj5HzA8dMhZ1Yc1o0lzE0IahVDqCUXX7TRnF1S6dU3/MA3D3CAG176ZpI45pZbTrO0dJKNsxGTYwvsO9rhzn2a2x8Zp9MN8KSi4Quu2mTB6WrJck8yNq6YHhccPiX59T8d4/2fnSCSFVToU3EUDV2iJC54Bcjdgm/n4PbskxP6gsCHwLcDI0fbhYihkMhKPJ895tg2YR7950trKuOWwD0McrVcvKjWclUFXg3KkQHPqjtAFIgvd1wG//36nHzIpXPeXe6klHYyyav2hdYkChqTYQ/VWVa+gawxUMm+BykNqcxsxVUKg2THugRpUgzZYNyeZDahup8YepFN07M/prWAK/59+/f1CMDLiRRZXvU3znb56bd0qYWL/Po7xzm74HL7wxNMhrM0OyGuzvC9lPFazJrNPa7a3qUdLfGVR1vcsS/k4JE6jqu5cq1g/bpa+6XXXvshz/df8LlVL/QHv/FffhNHi7jfPfvyc2ee9HdtaXHLXTF/fludA4cbNFyfzZOCzdOC9ZOCmXHF7IRm7bTm0m3w3S/rctnuNu+/zeEP/2qSjqyhgoCaIxl3bIZP6BoCzwI8cMH3ci1LkQrhFUpEYVWIfkboGyp+SuhbOzjfs8OiStDlnifgr75UYyWqIByPQEkqCvw8qdnNwV144pWXjAeJaaXKPCK0eqG+t1ylJCz64FIM3+Y98fIB9DwhV+ksUKQEy7xnXj4Il23cyv/v4JYyhU7FxvcNOiX5n4v8Diz64fbftMUiI+GhZ1wOnQyQ2sXPnzv76mdl9eWfwwzkCAy+xlAVOIydJT/MCgRJJlFSsGtbjxNnHT5z9wxHzjbotz1W2i4rbU2zrVlYcVlYCWh1QxwRcvEmuGFvB9fv8cizDnMTPS66+NpTJ88t/8jFF18bvxCOX7CCh57ixLGnP7B18+b/9MS+oPG+L3S55/Expis+a9cJqoGlEIEn8+UFQRgYamHGmsmINVOGpWXF/U9rOoRIN6CuBWOubQGGrjm/S5K/9VwbeeJ7djki8MD3rPrQtiGzfMUpD3ZVCcqPuWufx/yiD46DFpJAGQvuYstIWZ/yQQflQny5VK2Ldy7U5BhASgxr9BDAYvBng7di9N8v3jElfj3w2y5pwEe+aD7EId90H1EyitU0R1LeuMnyUXyxOymEyqlZhlK2zTc5JnjpJV2+/EBM4qX0UkU/teuJUWI3uax9h0Dmh0Irflu9DJ07cBWUJacvxQFZCUMQJFy9u0+lAcfmPfaplNmxXj4Nl4NzV+hrAs+jFlZZO9XjjVcuUncXWFiZY+PGi6jWGny9S3/dP1Ub+ycW9v/0mWj7LU8993Tl+p1Vtq8TuK4VrjvaUgZbUW1VrYYxjWqHqfElHtyf8tATE6QqpO5KxtyMqpsRlvi2NwJumQNc5QDPwe1mBLnM1upZil67ddIK/YgTpw1ffiSkJzyEcvCVIJCZpSc5uK0t2HBqWQBw6Ba1asmAVToR8wLPU7mKDqpx0Xu+MDkZ+fezIfMYAfYFbj5b/UsGmxjKX6JsJ2Gzje3fV9KgsmE1H04yNUmSEicOjuNw8+V93j3X5dhSha5W9FKBnxjcBHRcvOplQ+tooFDrmFwsNTxT6HwqOVokhDBonXLVng6Xb1vivid9nncU7b6h6sWEnrCv2p5tMDjaDqo8J2D7Bpc9GxfwanPtjTPZT0+vXdv/WwO81VvMtm7d/MD3+K9amVbHKtvXNTl0JiHLKmyZc/CclEa1TyXs4TmWKrhuTCXscvBMxH/70Dj75yeoenoIbhfbLSnAXVTtUpaP7yo8L1+e8ExJQ57i5xZx1kUryQ2H+tx2n8u+ZysY5eEqSaXwvMuN+L3C1lnlyRQFwAuumbucFkAvo0usqrQFQCx4ip3M8lh91DP8QiAfVGmR97DzhyxNNFd/zZFOjRh1oS0Om2kqc2NTe8gj18trlQM8B7k9cxS+jw46Tki0y6Xb2rzhuhbv/FSNfurQSSRBnNsyyFGAj5yqSzQIIzlvWJW/FBb+WFIY1o+n/NIPLPDv/1hy4OQ4S11lJ5qOJNCGMQ8aYYbnwMa5Lv0s4tZ7auw5PsXP/ewbV6ZnNzzQXjlz/vjymwX41vUzKK3PnTjaf5s7tuMrH/zyPU6aBGxdp7liW5+JxhJLnQ5PHkt43+dCDJo0y3CVz5GFMfafmKDieUz6htpqcLsXALeT7216IufkRduwkNhmAxVi4X0Y+H0WWil/9ZUGC90AGbiEShCobLDd7xUcXNtp6CC2UNjqkqQWUEm+QJ1ZBkAm7BMkxPn0YVBOKYF6sLUz7KIM/3wI7JEqXgA9r+JFWkLZ8LL4fwZtvoI/54fmYktnsFSQ2mXdJBW5hrswnTdkulghVwztOTK0cunHKbVKxNte3uEjd7ZZ6Hq0tUeQCJxB9Tb5GcTkyyfF01BMcYeVvPyDDn9WMfhYCLhmd4t3/fI5Ti7OI6QmTlwyBO//XIUjZ0OeX/SZDhVXj7ts3SC4dMcSO3fsjJOk+zbU5Dk3GP96EP76ANeOw76nDjE3t+X4RTujg0unn9812+iwfrbP5Pg5PvtQyjtvHQMCwvwkdLoVs7CckGmPuq+Z8IbgXk1LbAUvEtgknme3fwKXfCnC5Lw7K9ETqx/33Bjf7eMGXf7s8y6PPFMFHeApQVVb7u1pa11RbPUXAHe0reKFEX+UWK1yamziV2GsqkpjeyMKj76RgjoA9+gBdDXQh9W+DNis+E9egYuJY7aq+p3/NYfWGsUWemEbkeaVu9tXRLEFkirsirUZdFeGVIphOkbsEMUeV+xs80MvX+J/fzyg62haUttWaxEZM2Jjl408K4ZiOloM+oa8fDTF2S5jVALJtnUt9mzqc3rR59ziJFIK/vMP95H6HH/81z6fv2+MOx/zefaow96dU2zcdM3BrVt3Hm8tH6Y2tvlvD3AApRR33nfPYcdr/NTui7bcMed9mcUu/M4tHk8eqLG+rphtSCbqis1rUxK9wu/f6tPtOMwEKdVigOOW/FEcieuWtu0du5BsuXgO7vJq2wi4C9FWRLXS46En4QOfq7HQr6A8TVVDoKwzqauLt7l1RR505DpF7KEFYpoZelHCuaYgyoZ7mo7Os91lKcG3DDZR6m6U+t7DTofIrYWHEBhW5WG2e7GinuX9bLs0bEYBLsoqwGF0orXYyA/bEkIvYbHpML9seauUDM4fqVMAfNjAtDeHRsUZWjr0+h6VIOYHXtPlweeWufdpz47WZREpkm86SVM6YOfrGIMfU1KsuRVtxOJAbbfhy71y6w9+Lsr4w4/VEfEEW9ZIJhspMxNjvP3mFpdsbvKR21MeOay54vKJfXH3mR/84ufvPHzDS37oG8H3GwP8op0bObvQYWwsOHnfvfrOO+965mVPP98k6/tcvhEC32F2QrNpTcrFW5o8drSPKypUgozxwBC4tlMyBJkFt922l6UsTZFTl6J6Z0PeXSxHOMlgrS3we3SiPu/66wr3Pj6GqHpUHElF58sVBbjLxkP5DeU6cvD1PVdQCw1T412Wsy6PHariSE3NyfDLXQg5etgs045BPLkspzgULcJiLDM8UGbFBwKEseY9GvKVvCFVGTha5beG/VrDEFwbpWdv+MCL0LrHvucljx10WFp2qIbFK6R9DpLM6lQKx2/7b6ncHUwPfB+18nnJ3oif/I5l9h0KafU1K9LBkSK3gyjyioqU5BK4B52ckkyWYa88zWwyg40QlCSJsrssKuL4QsbTz/W5+JzDxlnF3GSFIAjw3D5vuq7NUqeGI5xfu+32Y/t+/uf/I/BLf3eAA0xPhNx17/3PBZXa/5yYvuxlwbGv0mj0kASsmdRcvLVNo77M4fkuH/hilVB4zI1lVP0iO9P61bl5ilYBatcZ3dv089W2waKEl/uPF6ttuZOt7/aphV2+9Kjkjsdr4IZ4WlNVQ3mtTZ4Y2lcU4PZzfxbfkwS+oBoYpscyblgT8Yrrz/Jv/yjiyaNTgESKDC1sCkEhSy3V7/P624X2exhfMjyMZsbGetgqZncVMbbnrQpFX44VKUENdNHDlk7Rw5a5rbTNs0nxvYhapc2zJ7r82vtmyHqKLZN9JscUlUDlcoZhq87eKDLvsRvrXiaHrwpKuXR6Pi+7pMd1O1f44sM+HUfhSomWEiWyUZsNDEOnlLJmpsTJ85vLbvgIoiRDR4peTxNFiqlxePsrW/xRa4l9xyocn/e4eJPD7DRIFaGN4Ppr9rBz51X5UvF//Gag+80BHGB2ZiNSNx541Y3LH+93j7/lgYePcuNeuGr3aQ6e6fGZhwUPPT3GwnzAtmkYq9gqXXQEpLC2uq4jcUYALkpV2wLT91IC10pvvcH2T77a5vUJgy4Hjqf80ccaHDpdR3kuVW31454ugduxYq2BP0sBbl9S8QSVwNCoZtQrEdXQsHmN4btuXODZD1VpxiG+EniqEOEPW3sjSsNS5dZFnGKeOldIATD28GoMZIkhSTOy1JIVKXOPQZVHXGcW3KkUqMITfAAbM/yaxeFQJ/huhJRdPnWv5rFn62ya1LTCFMexvMBkYIwadjry/rWlO7YfrpSy+UcqHQB8w3TCT7+1yaGzHgfPaJoisFV8cFOXX84sTRkIwQbfcalPjsj3Mw393BEAYVhsOrS6DuunXH7+rW0eeHaZB5/x+OozIddkLlftSpHhNmRl78c3bd3xQL+98s3C9psH+I6tc2Txs4eFvuzn1z72pHrtdcff9NjzTR45LDh8vEa36+FrzaWboFZR1CpWFNNsJ6y0U6QoKqnEdVUOuoKWmAEt8dzcSsJJB/SkALfnRPheD6V7fO5Bj0/cNU7mBlQLaqKznHPnjlrlCu4KPEfheZLAFQRFYFY+ERXYRYAtsxEuPVppQJxZGWlmzHm96cEhrURPZA7uoh1p/Rbt30tSkVdxK+pP02Irx/4/lrFYkKe5TmZgalmcCil4+DDOxfLwBCNjDp8OIdMgDN0I/J7JTXTSfDoq8+kqpQmsREmV+8EYlNJoldLre2iV8OaXtPjywyu885M+UaxZllYFODxc5v3NARHD3lRkQ8GYGS5WFDeZFLDckqy0MzxHMF/xObfkMD1W4cZdPS7b0uPAqSYrTcED+6d4yTVTt27efc3PP/jU8SPX7Fn/9w9wAOns4IEH7z+yfec1++6+a+lN3dYzHD4WMDfusmG7zE//kkZVsGYqJc46fOUhQxJZFaCbg9vSEsuP/RE7iYJz528LS4mia+L18Zwet92veMeHJ8hkBdfVVIvNH4e8czJsCTr5K4WrFW4h4spfMaxthc0Y0sr26eIYTJaQiowkU6SDZAWGCsPSwVKeV8HzQ51TTnYuDmSC0/Mpy00rKS6oW6bloBBKKUmlGFiTFTQlt+Uu7q3SqN2umwmVoZ3cWq2YPMaCXlTEvqR5HKNEibxVmucS2Y6Myt/qgZtvt+/hOgk//7YuR08v8ZkHND1ZY0UoGwg+4N6D17b8ey38VIZ/UiwUC2yLtlbNcN1lHj8kSWOP2QnFUlVx6ISLwWHjbIWds30eb/e58fI5brjm6n3tE/cfueby6/4mkP2bARzACdewbdP63/783U9s7Wfz3793c58922JavS5PHKqxfY1m05o+uzct8tDBDgfOjLGmqtFaDLhvAW7PzfAck1fwnHO76dDhatAOtFv3vt9jKYq55UtjHDxWQ9Vcqoq8eueiqgGwc2oyiBSXwwNX6abynBRXWyNPIfNfmDFkwh76RsbkReUuAFZUQZHHBKphXmjxc3m5B8x4LSYMI+54XLG0pBirFLMAsBIpYZc28oFMWgJ3mYsPqcpQZCbEkPdmxhBlkn4i6McGLy5usmwQayiVQMUFyG3MoVYGJVUObj1w9G13U7asjfneV7Z4YF/AqZ6iLSvIXGw1VAsMQV4SHxQFPQe+XSG057CMdRNdoq+lPP78GLujjA0zsGVDnyeORBw66bF7o8OeHR6XXTr2oa0XX/Hb3eaRvylc/+YAv3zPBn7v3bcsy8r0T1y1a2zd3Njhl35lX8STz3pcukWyZipm18ZFDs8v877PjyFTl0ZVUg011cACrEhCdp0hNSnAbS3ckhFwe24fz+vRjfq84/0VPnrHOIQ+nlJUdEZQmlgOHkUcnVNUcdvFcRwziDx0nWxo9pnbNQ99S4dVe1A1KVdwMajixaFyWL1tBQ+8jMBPqQYJa6ZaGL3CqXaD+cUaUqRUskEzBUlmszYTQSoNqcpNcgrntFwOS0k8NSpotC0aC3DbMSlyKZ3EECUGHWdoJXM6MprpqeP884lCx5nl5MpBq5R22+ctL2txYn6B336vYjFStAjzRrit2IXGZfhSU0gIsryC54vFqR0ILTY10+MVfvg1C7xjZYWnT9RxtWB20uWtL+nyteeafHVfHSeYueutP9j4icUT7+lMrPvxbz3AAf7NT3wvJ48+2DHmVdFHPvFXNJd7vP5ayYaZhPWzbQ6eafIHH2/QWqqya51ibsJhYkxSDSxvS41Aq8I73NKRoKAkXozvxgO/FM+J8NweftjhLz7m8kcfHqMrA7R2BkvJrjYDauLovFvj2KrtaDXg4Y4mf/XIAa7tQrTW6cCxVkgzUDGVRXplBWDROSlvzhfVW+dpz0UnKPBSqkFErdLF73SI4pClnmC8L/JoxPwwqjJUYpN+01ygNOoSJUb64kODoPwbNIBJMSYlTjVRMhRJOQXIVYZOUlQMkZQlgEt7KI4NumgbKo2jMiKt0bFLRfv87He3OXJqiT/5mEMiJS082xnJo1NMXhVMzreshNl2WbIszbN/oNdXGKNxVJVdGzP+z+9Z5A8+3uS5U3V6CRyfr7FrY8T1lwdcf9Projvvl52brrvibwPVvx3AAYy3E5Nl9xm502yce+SlZ1cib9dGwcHTHf7sMzWWF2vs3aTZMKtZNwNrp3r4Xsy5JY+lposUdnm1aAcGXpHaFuF71r7N1RFB0CP0e3xtv+CDX6jRMQFCe/hKEubjeFcXrwrlaWXekiyAngPb0Ta4tgisHXiQyxShErQmV9oNo/GKWU1ZZ1I+WJZtJ8qR5q6TDdqbnhujZIww1rC0Ewk8bfKqb2OsiwqXprlkICU3qGTgw1gGelnFJ4wkTTJMmhIb6Gci9x0hf9ivFcWZfcVREpXrcnRiiKIhVdGJIo4zIq3QsSZWDpFyqQQRP/DqNvc+6fG1pyF1M1q+b70JM0lWeJsP+uz2uXGUQSFY7hrOrWSETka7lxHHDkla55Jt8LNvWeTPPq1oNhtMjrc5s+Txuldd333JNVvvl1L+bWHK3/r/XDtTZ93c2K+cW155S5/183Eseepoyns+49NtVrlym8OOjQ67N6dcuXuRifHT3L+/ybNHE5odWxsdbQa0xPqk9An9PrWww2SjxeREk9h0uOsx+Hf/s8G9+6pk2kMpTahMzrvzrfvywXLwkIPRvDugMdkAgE5htJ+b7GcmZaljg5tUvu5WNgQa0WQXB8y8E6LUcGvIjsVzv3NtOb5WCVJYl9YoM/RSQZyKgRGONb/JLc2ybOARkhaHzWwI7tHRt92YEUbSqKQgY6LU2OjsPCK7MNiJk8Kg3iYwFBSmH9sYk2iQwGCXiKNYEyWaONHEiUM/9rj+4pTf+bkFXnr5MmN6BbPUpNvss9gzLPQlK5GkEwm6EfRi+7UMUAk02zYIrtjb5Eynx0PPpew/ErH/cMbXnqnT8Mb5sTdE7NrUQWSC6y7f1Ntx0U2/t7js/aoQjb8tTF944eGbvX7t3/8ca6aCapK1b3j4qa4irXLRRofdWxSXbOuyae08z51u8ol7HD51Zw1pXKbGFI2qoVax8tpKEBEGEZWwx+RYizRrc+fjKQ8dkNzyRZ93fLDGI8+GpI4HOsDXmrpjqOShVn5JU17oyT1H5Yb7cqBKHB5mS10aL84XJnp0un1+70NVnjheRzsudccQ5EkVnpO/Qjj5uF8LtC5eHfIpbT61LXeEAt9OGeuVHvPNPp/+aoUTS1Wqns2BLDzVdXFIVSVerEo3Ts7vtTaDJIzBK5BOCbwY4cTc9kCFXuzjamW31vMFj8EBs9wiFHLkRi07Ddj38+AvaWwRUBlKpGxe2+fGvV3mJiKm6j02zHY5fVaw1HHIpBp4y0js1/YcSb3qcOk2eO01bSqVNovdhP3HJK22IEkEvSig6nrUqwnKm4mC6q7fPnd28TeuuGx38nfB59+aohTXwdPLkRfUf8vx1kTb17V/vddN5cY5h83rljm53OQj98BDz4xhYp+daxRrJhWhDxU/pRbGVMM+1aBnK3elzbGzPT52l8effGKcZt+l3czorUTWztexy7SOzFfQBjpvSvxbDromrpaDA9+wahfgSIfVW1lbi16ScfSUS2o04cDerTBzP193MuCwA0DkOUOqNBXMt2WG3D6X5xphzSiLTJuUXJuRu7Kurt75sCnLinH/cB0sTW2Pe9NciiMi0jShl2n66ZCmJNq+1arwQC/S6VTeURGo/KCplMyfI2sBYb0Dlf2aSHzHsGdXzOY5xUrT0Ol3eecnetxyV5/D5yZIcUjzDE8p7c3e7SWcOOfge9O85KJlrtu9wgP7u9z7RMhzJ6skaUCzA35Qzy7du+7XL9pV+R/ziwvR3xWff2eA/8Tb387Hbr21O7Nt58fjLPi1fY/dz/WX9vnK4z3ufLRKs+kwWdHMzQmmxxVTY5qJRspEwy4wN6odpLQ97kcP9PkP72rw9NEpWv0QLSSNiRY/8oYFJCnv+4JDx1hnKkdZUZSjhrTELXdNtOXdjh52bZwy9x5kAFmQu07MPQ9pzrZdUDrXXWSD9TA1UM8N19WKocmo9dswHa5433rEWON4uwFvSEwBYJFbC5PbmRWPbLgNM/J3hhsz6UCZZ9PTJkLJjXu7fOKrSU5TRE5TLNCdnK7oxBAXQV9K5B2Tgo9LnBhiLYlzrUiSyUEfO0pS/vxjVYxRvPFql8CtUA9i/tX3dHjtDaf5lT/NeODZKU6nDotdwXQkcpCnhL7tzPSjcdZMBtx0cYtLt0R85bEW9z6q2Lu9y403XG+C6qaPrzS73Wuv/4G/Izr/HgAOIL1NLKcTz+7c0fjZTXP80X1fu1ceO1lnpipZXxdsXaPzPrFiqmFYM9lj7fQiZ1ZaHDwbc8W2GN9LePyg5v5909QaFXZOZ1Q9w2uuT/jh1yn6cY8H9nd49GjDenvLArQMxvKOU/DuvC04qOzD6q21VeAVwwytErvy5sTcuS/g7LKHdOTQJEgM19uKAclgJ7MslS2lQsjClqIIspVmONbOH9ZaeJhOlpmhFj0rRFmlj7NceVdW4RXWDGlmgThVF9y0t8cnbo9Jsox+JokzQZwZkgRiZdCJyMFtUIkF+CCBQmKHVVKgtcLRGbErB0sUUhieOar5nQ+tod+vcPS44fVXe1TDPlMTTa7bM8/lW5s8+GQFx+9zxfYOrY7H4YUKUpp8Ki1pthWHTgRsW+fg6D4bJwzp3ojJdTdmGzbs+tk1G9c/S3/+7wOaf/tDZvn6rtdeyquvjKLXv/Kadx076/+C46xjqt6jF/fZuVGyYV2bo2e7uNowNR6xcW6R/Sda/MqfjvHr717Ps0cniGKHZuzhBj5raxlrG4Zd6yWTlUkWlmZZOxHw5pd28YzJK3dBT4bdkmJhwqoFbT/ayduIBbidfCStdZG7mREGMU8fFjz0tE+UWdWcW3gYlg6So8u/q+NITMm4s5gwZsh8VafIAC1aIGkhHx08bGU3qRmIsQqqMgS6GFbxYlM9B3qcKqRQXLE7ZteWLmk/pZ9ZL8c0Lby5zz90Wh/AlCg2RBH0i0NmbNPQ4tjePFlmNSufvDvk9NkxpoOQxYU6Tx+ucGq+wrnFGq1WlcAFrSR71mj+y9vhv/3kMls3LnHwXMb8SkqSGDatWeLY2SWeOQKB3+LMfJutc2vYtcH9BbHxxnc99HASCf/Kbx+AA4xNbWVl+VT6L37kOw58x+tuaLaiOhdt0KyZabHQXCaKJeN1w7qZJo8f6fKOWyZJug2u2lJnpTnNM0eqvOtTdeqhZLJimKhLpscdfE/R6zvEqcbVlvs60gy7Io6dCLqOGGhcCnmomw91HKfomJhS5S4yOBNcN+bwacGJEx7gWL+8XBO+2uJtML0slIOlbfhCyipzDflwnF7oNYZXVgL3UCddrt5mUNXTEh8vqrf9nPUdSXInqdRoNqzJ2DrTgyghzrA0JRO5/UO+mpe3DePEEMcW5FGU0Y/tYnEvgn4krB9grIgGNEXQiyRSKULXJu6dXpB569dnuRnyz96QsGWDZNLzefjptfhyln/3tog9W5c5umBYbKa42mVyosOpxRaPPltl15YGO/a8pLnlorceSE6cTa++ctvfFyz//gAOUK8FPPxU+9Z1G677l//8B9+4cPEuj0/cFfPAvmku2eqxbX2H58+0+L1b6rSXq+zdpNmyVlLxLeds93wavqEWFIItG9Xs6DQPNBVIJW17UJc03sWqmzvUlbuusQ8nbwuuTkzOD3+OSslMyrmmopu5oNRg4cHSE0PZWkINNnZGg6SGB1FTCoMaLgavvjKGCsURsGMG4q6Cd4/k0g8quBgOhAqqkio8KZisRyAT4nQ41UyKKj742E43o7yK9+OUfpTRi6AXWSD3I2kBHtuWYZLqfHs/I06h209ptlOW25Jm26HV9QldjSMT2j3DweOGxw/UaPgT/Ju3dVm3rsWBkzGPPety9Y4xXn9DkzPtkPG1b124+SXX/cvpycVbpQr/PiH598PBi0uoMQC6neX3rr3uRn3wVPLbe7fcPb1z7SKzk33qtSX+9DZNa7nGFVsVG2Yd1k4nrJlqcvsTGUr4jAeGaiiphZpaCJUgJQwi2v2YR56t4Tgid8Iyq/xTJKEnSskSVufi5tW74N5y0OWwQPeclHY74zN3BZxY8HAqEjfn+APJ66CFVlpFk6u3d8peJcM48sE0r1zBjaGI4B4IqUqVvAiaKmjLENgFFy9V8tT2wdNU0Ys0cxOS17+0xycf6LMSh0SOsjQlz8hJ0oJCiYGOuzAGKu5DIdRA1+46kp5rfcB7fY/LtzXxgj7NfoVOL6PdSWm2FcttzUrLJ/RDLt/e5K6vVZk7lxD6EqXqXLkr43tvXuT3PuTy5GE4u6y4+ert/NyP3Xh2cu11v7S4Er93YvybVwm+KAAvriBssLTU/LM3vOomedHak//1kUe+Mt3u+XzhYWg1x7hul8u6acm6GcOGmQ7L3Sbv/UIdD81YaKgFKgd5RiWIqYU9vvg1wZcfatDwBaFrcksBMYgoDPOIQt/LFyZKtMRR2UhMuE1GznJPkJReauj1HcCxixly6GNo9xlFyewnH+yMLDsUElYGB8qhMT2rKvhwkbhsSzHKx8vtwCF9GdKVoR9gkklrfplKklRjjCZ0E1wZQ5aRGGVH/lkpbjuFJJe4GozNss9lwVkJ5ErKXHagCHqads/nVVc2efVVK3z5oQqtHrR6Kc1ORrMtWWm5TI9XePur5nnk2Q7H5isEXozBJY7HWD8neMVVXY4e0/SzlDPR7rMbt7zi36dp9mdBZexbAcW/X4pSvsbGasjOh961cV32i4ncttDu9Xjw8TrX7XK5cnfMWE2wfqbH3NQ8f/RJh0PHG8zVDfVQUq0oaiHUwpR6pc9EvcVnHgyI8BjzDVUfazYUKMLAiriqoaEaZlQD61Ue+oVXua3cSg6r6pAv21bhQ88oHj/sgaOsl6EaJvVqRUkvMjxYivKBc8QyghHQD/2dRkFejubOECNAN8WBM4/+S00Z4MVi8WrjS1vFo0hz8eaMq3b1IE1JjQ2CShny/TSnLHFi6EWGTt/YatzN6PRS2t2Edjel3YV2V9LqKFpdh1bHJ8tC3nh1m1YrZqkraHUyWp2UlY5gqeVwdrHC1tmAn3nLOY4sxxybN6w0Ix7aH/HAExVu2O2i3IhLdm9caJngF3/jnZ99V1CpfKtg+K2p4MVVX/Pj3HvHX/7F9i0bo6eeM398zc5Ttb075nniYMDMmMP2DQs8cCDinidnmfQVE1VLT6qholbJaFRjJuptHn0+Yf+pKSY9RSPIqAaCaqCoBppaKKlVrKNW6GcEro0D12rULqOwVhg4/uWA1yrlueOK5097SFfZeG9p8oWF0R738LA5pCpSng9om/ZbUvvlNGXw5Yfq1uEhkzK4xbCKl6t7mZ7kg6FkxL7YcuUNM4Yd6yNuuz89z+el+PJpZoFPYr8/HduOUzHOL6wzpJRopXAdTeC51MIKW2cj9m5b4vjZKSZCqHdSWm3NSlux2PSoVxrcsHuRy3cu8chTE2yadZiejHjsUES37/Kya3dw7fVvOuto9/2XXbTpWwnBby3AAR7er7Ikm/hQJRTJ1Jz881vvOuhfvs1jdmqBWx+I+NRXp5jwbGWu+IJKoKiH0KimTI11yWjy+x+qceJEhc3jGfWQHNSaesWO/OuVlFoloRIkBG6Co60pZ5oV/iCr7QsAUyzOZjiORmkHIaQFeL6koHPerZUYVG9V6qCUs3OEKMWf5EsAQ9APQV0AfYDzkqVVGczlSl5kTA46KSk5JTFDepKofCijbPxHZMCkuVgVa+ZQeqWxfjAQJXaiKvPhWeAYosRuHFm5sEZJhaM1nusSeCEbZ7r82+9f4hf+qMrpZkCjktLqJHmV15w8V6VecfgXr1/mk+PzHD3RwHNDXntNG+Vv6O3asu6nLtuz+ZCU+u80hv9mrm8ZRSmun/k/vp+t6+fTPXucj0xOrvvhl169q9eOW7zz05J3fXISGVW46RLNWMO+kAeepF7JGK9FzEys8OXH4N5nx5jwJRMVQ6OSg7uqaNQM47WhEf/UWIfZySZrp5dZM7XCeL2L1hlJIoliO5mzhzK7fYSwgqR2T5EJjaOktXnLPcQLDYhSDPTTgyCpkaXbIdBHkx5e+HkppK4jPBxT+nj4fpZX22zQy86FWokgSfKJY8HHE01mNIFvQGelTaHcCqOIDVEQp4KzLcnhRcmhBcmxZcnplmShCYutjOVmwkorYbmVsdySLDcdllZ8Vto1rtymeOUVi5xczlhqC5qdlG7P3rYLKwm3P1xBmCn++RslP/mmZYReJhJ7enOz6384JvnAp/76vXcrsap3+o8R4ADf8cYfx4mc9Pu+9w0fNc6aH3X8HR1XKxwhuGijw6uvazE+1gEhqIaC8brtrDT7TT7/SA2Z+cw1DONVSb2qGatpxmowWU+YHIuYHu+yZmqFucl5uvE5PnlPi499tc39T7fp9TNWOg6trqYbafp5Rc+MxNWGZ45I/vr2gCTSVnqrTGm8n6sSC+FTqXqfx7lz2IqBUrv43b3w7/CCf2u02VJqGQ774JaWkINbECcqf2iiWOM6ku+6OeLijTFZkucSSTsb8F2o+IJaIHE9uOKSJd7y8hO8+eYT6MoKR5ZTDi9JzqxIFpqGpWbCcjNmqZmx2JQsNC3PFqbGqy7rEVZaHFm0CRCtbooxhvl2l88/1OepQx5x7NLpOFxzyY7OpRfN/OiP/dcf/+jB54P0Ld/1E/8Q0PvWU5Tiuuol38tv/c8PmF/614/e8qXbLtUHTnX+aHHpXGPXppinjvU5csZny5RmZtywfqZNlC7z+x+sctcj42ysGyZr0Kjl4K7DZCNhcswmTUyOrbDSbfGRLyo+8dVJnj5QxQjB5umM113hMTuhqYUGk1mBVZKPngUQJ4J2XyOEwlPkNm+j8lutZK7sG/bAR8FtBlV7xM4NM+DnA/PBgR5l6LNSBvkI4Ad/bjAF/04hkYI4FrmJv9VwR3FOUVJFlmkqXoSnM4SxAC9EaaEnqYaSSqC5fDrlddfHbJrtI1XK4wfbfOIeh0/eO8GR5RpxajsrkORtQ8dSFcfF9+rcdEnEL/3APP/rY5oj8wFjtZRzS5pN6wQ7Nzd56rDm0h2CjRvWLB84s/lnXv3DS7fs/8L72HnZj/5Dwe4fDuAAv/xzP8hlW9/Fe+6sfWDtxMXO29+a/I8J56HJP/iwYLISsnuTZNemJkIt8I6POdz61Sk2jSlmG4axqmKsppmoC6YaNkZl7WSL2clFHj7Y41ffPcmzx8eY8DU756zpDwYOHRckacrshEJKax2RJHYCaJdhDAiFlmroI77KT8V1rDRWKTnCvS90rbZKvvDnzQiYSxKVwYfla9BtyXmz/Xfy1GIp0drg5gOZONakiSZLBSazN1hh3eY5gtAXNKqamQnNlrXQbk/y5MFxHJ2yZqzDL35vk+9+6Ul+9d09Hn52gn6igQwp4ly66+A6Do4T4Ohx3nrjWaQ8wx9/fIanjwd4rmR2osqbbzzFJ+528MZumr/h8vjfvnxq8QNa1dh52Y/8Q0LuHxbgAG/4zp+0v7R48S/Qjv7sF8d/a9fGu6a3znTZtHaZ588u86XHFLfdN8HmMc2aMcNYVdKoacZr1tJreqzPuukmGUvcen/Mn3xmhiOnxtg5CbONjOkxTSUwHDwZsdiSNFp24BD4kmosiVObzY4A6Riko3GVyG0nLBD8PGXC86wyUSs5oCcXwORIG/AFMD5yrW6qjID6BVhNWli8Fds+xnqbKJUvOrvajtVTTRxrsiRDGIMSIhenCXxPUQs14zXDRL1HsxNx4FiViq+YmfCZnQjYOLXMf/7hJn/6uZj7nprk+QUfyJAyQSuJ69hDp5IhxszwhqvmybJ5vvJwncNnQ+5+1OMlV27lp374xrPrN73il8/E8V9sEF/fJPNbdf2DA7y4hDPOqbO9d19x+avEWBD810ce/uT0J7+6wjPHqzx3ImD3jGSyaiNNaqGiXtVMNDJmJvpsWrNMyiK//xHNLXespeaG7JwyzI7BzLjL+lnNni1tNp9Z4JYvjLPcUjSqGf1IEScy986GNDOcXlAsdR2b5qaLGBUGBuyBb8VbUqxW962yBr5Q8tpAZHX+z39BYBf/H4zugOavGmAdcDNj25DWPdaC3FF2waMfa3p9h4ovmZpIEWczEDK/CXJrYl8wVksIgw6fuq/LoSMuuzeFdCOffmz1J5tmNe/46UX+6s4T/O4tcxw4F1ppg47xXUnoKxzl0utrmm2X1191ju1zXZ54vseZhVlmN73m7LXXXP/vgXeLFwnc8CICHGBu2seYzrvGr7k6Ob7QfQf77xu/ZPMCIpNcv1MCCacXQWuHemiYGY/Yvn6ZTM7zPz/i85E7p5kOXNaPZ0w3BFNjmtlJzdppw9Z1LYTfJRHjdPu29WXF+7afrCREEdz7mMfhEx6zDbsCN0h1y/vsldBW88zYoUbUz/IOiiRLxbClB6OtwKJBcN4k014XOmAO/laJ38vcJcvR9p/tJoZONyEz4Ln5upqQOMpOHPuRptV12bxWcO2lfe47ZHKpa55FqQWuNoRehhAxTx8XHDttqFcilHIBZ6B9WTOpeNuNiyTxaf7HR6Z5+lQFR2dUw4TJ2KEbwfOnBFIExGmDJw7BxTsm+a43Xb9YHbvy/zpzzvz57PS3bojzzVwvKsABhAg5Nd9/7zVXvnQh6axsO7vS+m8ODzt7tsb04hgjNO2uQ6MmWD/T5JHnm3zh0Rqf/uoE6+uKuXpGoyIYr2km6g5T47Bmsk9i+vz1PR7nlhRrK+TAZlC97SQzpdNTmMSlWqS7ebZ6VwIr9hqrGRt0W4l48qDh1Dnr7YIAR6tBJS+5TQyml6OVexXI8234shZl6EE49DpU0i5yhB4EfsbBkzH7jyc0AkE1lHmEt8LRVnBW8TXdvoMjNVU/y60k7Jcs748aDNONjDfc0OGdn2hwejEj9BJcx0VJBwEksVV0vvm6FTCLfOGRiMPHxpmoW7pyZiXiwOmMZkeQGYebXro3bnUav7h+480HPM//lBAvHA71D3W96AAHmJv0sg/dtu/WxeBm9+I1z3d2bnD/8PZ7HxGztRXpe9ZGYd10h9sfb/Oez40h05Btk4JGYAhcQSUs2oeS8VrMRL2L73U5uxyQpQopsmE0SLEpLzOiJGO57+G6kjB3xgryl99qYME91UjYuKbNfGuZhw4EdFsV1k5aa+U0K1mS5VcB7FFr4QuTamO+/vNiD4jWxCj0Detm+jTGFnnokObMiQqbZhIwloO7rsT3JN3IVvFu36PqdfGchDRzh99c/r1lmUArxUwjox2nzDcdJqr2rOI5Gq00SSpodTX1qs/L9rR56d5l3v05w7PPTrI7EnSTGEcJrtrtZGvWXW1m12/9VzftHH8P7I+EuPbFhhXwD9QH/2au73/dXn7y5YvRK14699416zbuufHK3f+3X1vD86c0m9ekPLi/yV/cVmXcqXHJRoc9G13WTjvUqyrnhJJaPiCqV7ucXIw5fNan4g2njEXLTkmDo1OePCz55Fer1AM7wQs88sBZRa0iGKsmzEz0GK8t8eBzfR455NCLrIYjLcedDNmI1buUvla5qg+vYRdlZFRfepQ5uJLgOtZj5bKtXa7c3WS+m3JmCVY6dorY7kK3J+n2rKqw2fb4zhti9mzqEaVmEApVnpa2ew4bpzNmpzosdmG5bWh1Ejo9Q7cvWGopjp7xeOJghScOTNFqruEnXxtx9d55nj+ZsWYsZeOGaWrjl/7fmzet33N6cfN7v/xV/W0Dbvg2AjiAW78YIbd2x/SZ/d/xpt2/FVa2//qrrr8o7SUdbrtPsWOmysuvcHjJZZI9W2HdjMb3oBtZ9WAtTJmo9/HcFrc/ojjwfEjFMyW9SK4pyZeOMzI6kWvNOIuDpaeoBIJamNKoxsyMt1lsd7jjUZ+o5+LooW8qrGIhwozqUkRJWbjqpDkA9GA0L87TjIz800CcSELP4ZWXd6g2upxakay0Da1ORqeb0ukJun1Jr6/p9l18rREioZ9rwa1Cceiv0ukpLtqoePUVK7TShHMtQaubEcUZgZfRi2KOnUl54lDCXY+mfOnBkOcOr+E1V6VMTLQR3iXpdZft/vXf/Oj1v3Xf4639N1+/vvvKl+x6sWE0cn1bUJTV18aLvp8Pfeiv0h95+4/9pyg6rm+//cu/0O3v98bDDspp0+xnnF3IWD/p0ewnnJj38VwYr8VUwxX+6o6E3//EFJ7n4Mi0xGkZbLtLGdOLwdMOVSfLDTntK0ElsErGsVpENWxx6wOGB56psm3STgN1bpxTBDEV+B2qFHNJbq5DGepOip9wuF1vFxlGV9OKqwB/mtqxej+WzC8HXL1jhZsvX+aDnw9ZbNv057CbUgkUnb6lKb3IIYpdak5CajLiNNeEl5xy00zS6vj8yzfPs9w5w213z7LUUsxGhkY15sxKl1YvYMOaNucWU07MaxabNfbu2MUNN+zp77roFb+7e+vMf7rrjk/w0pu+68WGzQWvb0uAA3z/938fxpzh8OGxX7366jfLubmDN9x1+yflIweyG0KnqY+c9Vg7mdDpxozXQqbGUuYmm3zmwZjfvWWaTq+GG46mpilhBx6+l9LpJ9xye4U4dqh6Jj9g2hZaJcioVxImGl1OLPT45L1VQsdjLLA6dD9PidBFzk/J2s3SH2soJGUxtRR5jEfxl+3NYYDEQJQJ3NSURFb2+7WCqIx+rOj2BZ2uYqXt0e1WefP1y3zl0Q5nl6rUQ0PFz+j0Mrp9m8/T6TrMTbp8z81tHj0U04u9QYoclCgUAl9X+Xff08Vk89zxwDTTKykLK4owtEZCm2cS0ljwsit1cvhk/Z6bX/mWbMvmbfcEFf2rB44tsm39i9cG/EbXty3AAYSYKd799//rTz9FV91Ye8m1i38yEzz9fY8/c1Z2o4j5FZdtawy1SsxKr81Hb2+wZ00N5fZ48rhhseMxN5Yr6qS1i/OdGKVjFpoVPCkJ3TRvD1rPlmqY0qhEBF6bzz4E+4/UWVMV1ANDJbBGopVADjJ8imAnKewys+skVIKIwItz3YidLmIiwEYGe8qmHix2c0sHmRLnCRCFkMsYSOKMtrGyVd9VhG2X+eUKu9e1uHHPMh+/PWS5LagFGd1eSrenLBfva+LEY6LWQWQp3diuqWWZfVXRKqNR6ROlHe55ooor6rztJYs89FSXVs/nzIJgy3rJEdnhySOTGGcmW7th44df94rqP19cOdgMq5e/2PD4pq5va4CXr3/9f3wH/fbTTTfc/q+PHtrwXC97aO/80sJbSA/TS1Y4Me9w3zMBa+pVXnt1xoZ1C9zxRMzHbp+l1XcB6wjluRlhEHHkjOH42YDxwOSWyspOOgNDLUgYq3VZ6nS55Y46jvGZrmXUK5JGVTPRkEw1UqTMOHpaYwxUArvN42i7pGFocWIRtKjiOS4VP8FkEUY6+I5iyjW4bkqq+6y0NfNdh4qb2RhBYXvcgS85djZBi5Q40ThKEXiahcBnaqzK971skS9+rct8p8J419DupbaKR5JepGi2XdZNCtbPdjh6MqQXW4dXhCEMEuKsw4e+KLnzsZAtkxVee43mjdc1OXFa008i7tvnsnvXdsJg+uO791y1Lxyb+f2nz/Wb11y648WGwzd9/aMBOIBX2Q1w7p5Hj/zHdRft2NQ4d4A1M0+85YGHH2dpZYknDzhcv1uivRaPP9fgVZd0OXamwxPPOAgBnmNoVCOEbPO+L/ocPR2yZzYfzeepypUgpV6NqAQt/vpOwaMHG+ycNtQDqIVWDzM7kbFhtsn9z/R5/uQYm+YcxqqW41eCmF7c5k8+LTlwvMGrLqtw1U5DxUuI0x5GahoerKtnXLYr4eZrlnjuVMyf/PUcrb7DeNWglCD0FVvWZfRp8rUnfZLU4DqCMJDUQofTixUu2dLk9dcs8KEvBix3BfVeRq+f0esren1Js+2ybYPLD71qmd94f4PljkMUWw4+Xutz39OC2x+a5bIdmrNLPR7e73HVHsn8fMzY2CS791zMDVfv+vjO3Zv/DWnnsNAbX2wI/I2vf1QAL64bLttIGi0elrv3/F/7nnDeOz616+eT7v039eLjTIyf48uP+OycC1ls+mycWuS5gxFS+jRqKZ7X4g8+Ibj17knGQomnM1xtPVVCD2phwkS9S6vf5qNfnaDhu4z52YCajNdgdqLP+rl5fudjVZx+ytykjazW0ub9HD7X59Z75qipGsdmXNZOZEyPdUlSB6kkNQ/WTAg2TIVsm07Yu/kUH7+ryfETk6xJDULY88DMeMTEZJOP3aXwtaAaJtQqLs2KbQO22nXeesMit97b5myrxkTF0O2n9COVe5sollsh33Vjl+XeaT742TUstyVZZoiSmJPnFBOhR1Up9l7e5o6v9Vk3P8mW7Vt5xfVX3OH6we8H9e2PHT4WH968Ye2L/Wv/W13/KAEOoNxxgOeMMc8B+04fPbVm7Zqr/9+jRx/evv/IAXX07ArjdY+XXRJz8kyMUpLJeou/+FzMh++cgizEEeVhiiTwMxrVCEST3/xAhWePjrO+aqh4Q5lpvZIyNdbhicMRp845bGpghy0SXDdDqx537HNJU5+1k5bvNjuKXl+TZgot7NJ01VdgHE7NV9gWBty8t817jo3TT6xGBuxG0ropuGhLi1MnJ5iqp7Yl2JN0eg6LKyHb1/b4Dz90lt98n8dSx2GqnxHFZpAJlBkJWYMfvLmPlme57Y450jTjqcOaux+HrdOwdmaRTqfBNVfvTS/adfFzZ5ZW/sVFl95wMkvZH3jfSDb27X39owV4ceXpwftNem5/lqWvcz2x7sd/9GUf/suPfbleqRyuxInA1Q6TjYRW3Obp5+tcsyXkVCsj9COits7FSnYUPl7v8PTxmDsfW8tcIKm6GTp3zgp9qFVSxutdPn6/Q7vt4E+B44DvWgcArXt8dV9InCiktAe7OJbEuTuUytPmHMeOzDNjR/437m3xzk9HNHseUWQNeXp9SSN0uGJHj/c/Z2h1odvL6EWKOBF0+w6LK2O87OIldm9c4dCRSdb3rbGPAbROeP5UQuB6nFuc5OL1LW4POpxbVoRVh8QIvNDjysv2tGfWv27l+LnkbWvXbDy+TanDnv7HDezi+kcP8OISagpjssPrN88cra20L37JjdH19fD6P1leOFKdmzsytnHuEPc9qdk0FXDZzh7PntBctbvNH360TpZX4NBL8bw2H769weaGy1TDcOhMwljq5lJTQ8VPqPhdtCPxtMy7L4JqJaYadOjGXTpxJTflyQGe71BmRuS58cUjN+gUEDopod9mOXJp9aAXmdyAxyWJu7SijE5f0Ysy4kSjpcHzmuw/Umd6bJbvfdk5fuPP+3SikDQzeRsy4V2fCbl6u+KpI4Krt9e5fk+LZ543XHfZ2uYv/eTWhYsv3qzH6+antN5x79Yd4XKWkul/IuCGb7NJ5t/1stmPInvq0JnF2bnZ2z7y2Xs333TTm37h5376x56Y3nD1w5HZ9Mgrrgl7x5d9JkODwjBZsfLYOIF6JebuJxXPH69yyWbNW1+ecf1lfZa7ElcLqkHGeL1H4PeR+YaM70mqAcyOd3nsUI+f/t0pul2F50Z048IiDdI0T2IQRRqb9U8M3IR+0icMBO/8t0vs3b7CqSVod203JIoVWWoBP9+GTs9SkGqY8OXHFR++XfH4cxW2zYVcfXGf5a61rOv0YH7ZJUoE55Y8LtkueOZEo3f57vWPvPHVlz9xxQ0//JtLx/5821ijtrNSn7nNC48uSiH+SYEb/glV8PJ1w+VbAbJWJwEh353J6M+EVPzIm3eruenwD+cO9nc2l46/9OFnDqkrd0LoRZw6Z0jSiFPzUPcctqxVbJxrc9/+dGDLPF7r47lLzC+79PsuWtrx/lgtJTFtbnvQI+7N8B+//xy33NPhmf0O/SgjiiHJBFmxoCCxkYauIfATvvKY4uN3bubffnfG665e4T2n+yy1FN2e3eBxPYfxGvTSiMWWZyNJYoU0KUfPxhw64bFlXZWNU0ucOxXjOYaDpxUL7ZCXXxYTmW3pRRdvumtsjb9/IW7+bOD0UscJuPoV7zK1+obOi/37+lZe/yQBXlzVcPDjFQPwxMRL/3ztFnf81Kn5/+eh577k7tr6bIqUV/rV2lXd5BCfukuytp6yZV2X4+d6PPbMGGsa+Rhd9PnInR5rx6ZZafZxHWhUJHOTEfuPGfY/73HpJsVEXbNmPOIpYzizlLKxbw99AyWjEgSuYHaih5IZpxdclpcU+w9XuGRXi50bexw/HrLcMkSxYCzQvO4yzZqZFR59RqKUx8KKwxVbHe56vMv+4x6XbINXXd7iyMlppmfXI9rxQ8tL8dfe8tq1amL96yKjZn7lctNfXDfXeLF/Lf+g1z9pgF/oEs4YwCLwMwCf/PTtZJm4aeOW5LWTjXVv+87XRrtmq4a+eZh7nhhj64xParqcmO9xal5w39NjvOYyjZYpEzXJ1ETCmaU+rZ4myxRjFcP+44r9zwdcuSPj1EJCp+dbvq1i4jRFpVANMmI6PLhfs2eD4rl1EcstH4Gm4glmJjqcWw6YX3ZJs4hqoLhqh+LYKcN4dZGFlYyVdoPXX9vla/sFk3PXsHnLZbzqlZPP7Nk08eH1c/pzScYd23ff9GI/5S/q9f85gK++3vzGmwHu6HbO3gGX3Pkjs9k24sXsAx95JpPezi3f8fq5X15Zepos0zjiHKFaIXT7TPgd+hMehiaPPiepVhwMVofSixRR7PKySxMeOZAiyGj1Eo4uCHZtiDhxMsGgePKYw6PPeLz9lQbXtcGtJktp+JL12zKOnGlz7HTAsXMwv9hjfimjXq9TnZqk14vYtuUi1o4f/S0jjx7aftGNcvOGhpzc4B4Ac9vc9OSL/dR+W1z/nwd4cQXhNMBtxccHDp9BaXdsaeHUPUmri1YyzsTe/3NsjXjNlrmUbq/H1x55hmePn6aiXcYafbxAkyFxZJ9QSwKvj+/EeLrHmaUm9z82wZU7U1aWW5xdEsggZXE5ZnHZ0Ooa3FmB44VEuAR+wKXbV2h1p3nly19JGrtsXwfTW8TnF5Z77/Cc2Nm7dw+za191x67L+kvKm3uxn8Jvy+v/D/AXuLZtmgFYAj4JsLRwDBBPT82Z2WqYZXHU4+iR4zz43DJjk5pqJaXdN/HNL7v2P5Od+c6reyLesKmP8VOipEor6nLlJQGb5gzfu7ZNp1OhT4LjS+bWG65DO3PjE3/tOJ/7z7FxHaVcZsYUnbjKpRddilYutYqQ0+vkaeDQhnX/OCeL/9DXP62e0It8Pfv0PQjE7NlzhxtPHMjMdXsiTi+mNLtVTi7FTIWSsZpgvNbm1HxIK0o5PS+4apfgyFlHzEyuX8aY06951Y0v9o/yT+b6/wE2VLFmOl6FpQAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxODo1NDowNyswMDowMDn3JTQAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTg6NTQ6MDcrMDA6MDBIqp2IAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 12}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 113514000
    {'hecke_orbit_code': 9007199456067764, 'n': 1, 'trace_an': 2}
  • id: 113514001
    {'hecke_orbit_code': 9007199456067764, 'n': 2, 'trace_an': 0}
  • id: 113514002
    {'hecke_orbit_code': 9007199456067764, 'n': 3, 'trace_an': 0}
  • id: 113514003
    {'hecke_orbit_code': 9007199456067764, 'n': 4, 'trace_an': 0}
  • id: 113514004
    {'hecke_orbit_code': 9007199456067764, 'n': 5, 'trace_an': -6250}
  • id: 113514005
    {'hecke_orbit_code': 9007199456067764, 'n': 6, 'trace_an': 0}
  • id: 113514006
    {'hecke_orbit_code': 9007199456067764, 'n': 7, 'trace_an': 3340}
  • id: 113514007
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