Newform data - 400.5.b.a

Formats: - HTML - YAML - JSON - 2026-10-23T12:36:26.936159

• 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': 10000, 'analytic_conductor': 41.34798523353773, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 4, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [400, 2, [351, 101, 177], [1, 2, 2]], 'cm_discs': [-4], 'conrey_index': 351, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [0, 1]], [13, [240, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 68803363216, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, -4]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '400.5.b.a', 'level': 400, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '80.5.h.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 2, 'qexp_display': 'q+3^{4}q^{9}-240q^{13}+480q^{17}-82q^{29}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '4.2.1.d2', 'self_twist_discs': [-4], 'self_twist_type': 1, 'space_label': '400.5.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1124662679963784638, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.945', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '2.784', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '9.198', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.506', 'prec': 10}, 'traces': [1, 0, 0, 0, 0, 0, 0, 0, 81, 0, 0, 0, -240, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -82, 0, 0, 0, 0, 0, 0, 0, -1680, 0, 0, 0, 3038, 0, 0, 0, 0, 0, 0, 0, 2401, 0, 0, 0, 5040, 0, 0, 0, 0, 0, 0, 0, 6958, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10560, 0, 0, 0, 0, 0, 0, 0, 6561, 0, 0, 0, 0, 0, 0, 0, 9758, 0, 0, 0, 0, 0, 0, 0, 18720, 0, 0, 0, 18802, 0, 0, 0, 0, 0, 0, 0, 9362, 0, 0, 0, 6720, 0, 0, 0, -19440, 0, 0, 0, 14641, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33998, 0, 0, 0, 38880, 0, 0, 0, 44880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29039, 0, 0, 0, -34320, 0, 0, 0, 0, 0, 0, 0, -64078, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -63840, 0, 0, 0, 21840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -115200, 0, 0, 0, 0, 0, 0, 0, -90482, 0, 0, 0, 87360, 0, 0, 0, 0, 0, 0, 0, -58562, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32640, 0, 0, 0, -6642, 0, 0, 0, 0, 0, 0, 0, -125678, 0, 0, 0, 0, 0, 0, 0, -115920, 0, 0, 0, -55522, 0, 0, 0, 0, 0, 0, 0, 146879, 0, 0, 0, 77520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -31200, 0, 0, 0, 92400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136080, 0, 0, 0, 201600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114002, 0, 0, 0, -244800, 0, 0, 0, 0, 0, 0, 0, 130321, 0, 0, 0, 0, 0, 0, 0, 246078, 0, 0, 0, 277200, 0, 0, 0, 19680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -159758, 0, 0, 0, 0, 0, 0, 0, -296400, 0, 0, 0, 315202, 0, 0, 0, 0, 0, 0, 0, 276962, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 351118, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 236640, 0, 0, 0, 0, 0, 0, 0, 194481, 0, 0, 0, 0, 0, 0, 0, 89602, 0, 0, 0, 0, 0, 0, 0, -285600, 0, 0, 0, -152558, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 408240, 0, 0, 0, 403200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -39360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -324562, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -231518, 0, 0, 0, 0, 0, 0, 0, 279841, 0, 0, 0, -729120, 0, 0, 0, 0, 0, 0, 0, -120238, 0, 0, 0, 0, 0, 0, 0, 563598, 0, 0, 0, 0, 0, 0, 0, 351120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -434078, 0, 0, 0, 0, 0, 0, 0, 110400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 684480, 0, 0, 0, 0, 0, 0, 0, -492002, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 85680, 0, 0, 0, -255360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -806400, 0, 0, 0, 0, 0, 0, 0, -576240, 0, 0, 0, -661762, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 720720, 0, 0, 0, -855360, 0, 0, 0, -513842, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -850080, 0, 0, 0, -140400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1209600, 0, 0, 0, 0, 0, 0, 0, 1458240, 0, 0, 0, -712402, 0, 0, 0, 0, 0, 0, 0, 737038, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 531441, 0, 0, 0, 313200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1113840, 0, 0, 0, -1152158, 0, 0, 0, 0, 0, 0, 0, 257278, 0, 0, 0, -583440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1669920, 0, 0, 0, -1269840, 0, 0, 0, 790398, 0, 0, 0, 0, 0, 0, 0, -995362, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 611918, 0, 0, 0, 0, 0, 0, 0, 208082, 0, 0, 0, 1152480, 0, 0, 0, 0, 0, 0, 0, -700557, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 678960, 0, 0, 0, 765600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1516320, 0, 0, 0, -1120560, 0, 0, 0, 1007678, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2419200, 0, 0, 0, 0, 0, 0, 0, 1522962, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1659518, 0, 0, 0, 0, 0, 0, 0, -784320, 0, 0, 0, 425362, 0, 0, 0, 0, 0, 0, 0, 2534400, 0, 0, 0, -1790880, 0, 0, 0, 0, 0, 0, 0, 923521, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -937440, 0, 0, 0, 758322, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1376400, 0, 0, 0], 'weight': 5, 'weight_parity': -1}
• mf_hecke_nf •

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

  
  {'an': [[1], [0], [0], [0], [0], [0], [0], [0], [81], [0], [0], [0], [-240], [0], [0], [0], [480], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [-82], [0], [0], [0], [0], [0], [0], [0], [-1680], [0], [0], [0], [3038], [0], [0], [0], [0], [0], [0], [0], [2401], [0], [0], [0], [5040], [0], [0], [0], [0], [0], [0], [0], [6958], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [-10560], [0], [0], [0], [0], [0], [0], [0], [6561], [0], [0], [0], [0], [0], [0], [0], [9758], [0], [0], [0], [0], [0], [0], [0], [18720], [0], [0], [0]], 'ap': [[0], [0], [0], [0], [0], [-240], [480], [0], [0], [-82], [0], [-1680], [3038], [0], [0], [5040], [0], [6958], [0], [0], [-10560], [0], [0], [9758], [18720], [18802], [0], [0], [9362], [6720], [0], [0], [-36960], [0], [-33998], [0], [44880], [0], [0], [-34320], [0], [-64078], [0], [-63840], [21840], [0], [0], [0], [0], [-90482], [87360], [0], [-58562], [0], [-32640], [0], [-125678], [0], [-115920], [-55522], [0], [77520], [0], [0], [-31200], [92400], [0], [201600], [0], [-114002], [-244800], [0], [0], [277200], [0], [0], [-159758], [-296400], [315202], [276962], [0], [351118], [0], [236640], [0], [0], [89602], [-285600], [-152558], [0], [0], [0], [0], [0], [0], [0], [-324562], [-231518], [0], [-120238], [0], [351120], [0], [-434078], [0], [110400], [0], [684480], [0], [-492002], [0], [85680], [-255360], [0], [0], [-661762], [0], [0], [720720], [0], [-513842], [-850080], [-140400], [0], [0], [-712402], [737038], [0], [0], [313200], [0], [0], [0], [1113840], [-1152158], [257278], [-583440], [0], [-1269840], [-995362], [0], [611918], [0], [0], [208082], [0], [678960], [765600], [0], [0], [-1120560], [1007678], [0], [0], [0], [0], [0], [-1659518], [-784320], [425362], [0], [-1790880], [0], [0], [-937440], [0], [0], [1376400]], 'char_orbit_index': 2, 'field_poly': [0, 1], 'hecke_orbit_code': 68803363216, 'hecke_ring_character_values': [[351, [-1]], [101, [1]], [177, [1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '400.5.b.a', 'level': 400, 'maxp': 997, 'weight': 5}
• 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': 10000, 'analytic_conductor': 41.34798523353773, 'char_conductor': 4, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [400, 2, [351, 101, 177], [1, 2, 2]], 'conrey_index': 351, 'cusp_dim': 222, 'dim': 38, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 13], 'hecke_orbit_code': 68803363216, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 2, 4, 4, 6, 6, 8], 'label': '400.5.b', 'level': 400, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 258, 'mf_new_dim': 38, 'num_forms': 11, 'prim_orbit_index': 2, 'relative_dim': 38, 'sturm_bound': 300, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [38, 0, 0, 0, 0, 0, 0, 0, -1194, 0, 0, 0, -4, 0, 0, 0, 108, 0, 0, 0, -1056, 0, 0, 0, 0, 0, 0, 0, 2844, 0, 0, 0, -864, 0, 0, 0, -3140, 0, 0, 0, 2988, 0, 0, 0, 0, 0, 0, 0, -18490, 0, 0, 0, 3708, 0, 0, 0, -576, 0, 0, 0, -5348, 0, 0, 0, 0, 0, 0, 0, -7872, 0, 0, 0, -532, 0, 0, 0, -14112, 0, 0, 0, 57126, 0, 0, 0, 0, 0, 0, 0, 6732, 0, 0, 0, 30624, 0, 0, 0, -8116, 0, 0, 0, 30924, 0, 0, 0, 0, 0, 0, 0, -70612, 0, 0, 0, -46836, 0, 0, 0, -24036, 0, 0, 0, -28234, 0, 0, 0, 0, 0, 0, 0, -13632, 0, 0, 0, 69312, 0, 0, 0, 26892, 0, 0, 0, -167616, 0, 0, 0, 0, 0, 0, 0, -30708, 0, 0, 0, -131508, 0, 0, 0, -49028, 0, 0, 0, 165024, 0, 0, 0, 0, 0, 0, 0, 17826, 0, 0, 0, 189180, 0, 0, 0, 101376, 0, 0, 0, -106900, 0, 0, 0, 0, 0, 0, 0, 166080, 0, 0, 0, -291284, 0, 0, 0, -88164, 0, 0, 0, 184848, 0, 0, 0, 0, 0, 0, 0, 99792, 0, 0, 0, 363168, 0, 0, 0, 222432, 0, 0, 0, -303768, 0, 0, 0, 0, 0, 0, 0, 66236, 0, 0, 0, -394164, 0, 0, 0, -45120, 0, 0, 0, 395084, 0, 0, 0, 0, 0, 0, 0, 393744, 0, 0, 0, 436896, 0, 0, 0, 150732, 0, 0, 0, -644292, 0, 0, 0, 0, 0, 0, 0, -306324, 0, 0, 0, -635616, 0, 0, 0, -248356, 0, 0, 0, 66492, 0, 0, 0, 0, 0, 0, 0, 280018, 0, 0, 0, 709884, 0, 0, 0, 446400, 0, 0, 0, -395616, 0, 0, 0, 0, 0, 0, 0, 340608, 0, 0, 0, -843092, 0, 0, 0, -242532, 0, 0, 0, 1078320, 0, 0, 0, 0, 0, 0, 0, -354528, 0, 0, 0, 692700, 0, 0, 0, -8212, 0, 0, 0, -1071648, 0, 0, 0, 0, 0, 0, 0, -627908, 0, 0, 0, -657684, 0, 0, 0, -610848, 0, 0, 0, 761846, 0, 0, 0, 0, 0, 0, 0, -211236, 0, 0, 0, 1165276, 0, 0, 0, 688248, 0, 0, 0, -393408, 0, 0, 0, 0, 0, 0, 0, -369396, 0, 0, 0, -1290528, 0, 0, 0, -127748, 0, 0, 0, 839196, 0, 0, 0, 0, 0, 0, 0, -657316, 0, 0, 0, 1070208, 0, 0, 0, -46464, 0, 0, 0, -1501156, 0, 0, 0, 0, 0, 0, 0, -213216, 0, 0, 0, -737012, 0, 0, 0, -1469376, 0, 0, 0, 2346294, 0, 0, 0, 0, 0, 0, 0, 579708, 0, 0, 0, 1388448, 0, 0, 0, 706796, 0, 0, 0, 1034892, 0, 0, 0, 0, 0, 0, 0, 1975584, 0, 0, 0, -939744, 0, 0, 0, 220572, 0, 0, 0, -438680, 0, 0, 0, 0, 0, 0, 0, -527472, 0, 0, 0, 258264, 0, 0, 0, -511776, 0, 0, 0, -1070784, 0, 0, 0, 0, 0, 0, 0, -1675044, 0, 0, 0, -478080, 0, 0, 0, -480672, 0, 0, 0, 1491516, 0, 0, 0, 0, 0, 0, 0, 585926, 0, 0, 0, 1193112, 0, 0, 0, 981504, 0, 0, 0, -2191924, 0, 0, 0, 0, 0, 0, 0, -2877540, 0, 0, 0, -999360, 0, 0, 0, 1021212, 0, 0, 0, -1997328, 0, 0, 0, 0, 0, 0, 0, -1585188, 0, 0, 0, -501408, 0, 0, 0, -1164596, 0, 0, 0, 3778272, 0, 0, 0, 0, 0, 0, 0, -1479072, 0, 0, 0, 553068, 0, 0, 0, -1181568, 0, 0, 0, -1237076, 0, 0, 0, 0, 0, 0, 0, 4060992, 0, 0, 0, -428516, 0, 0, 0, 1712844, 0, 0, 0, -2798880, 0, 0, 0, 0, 0, 0, 0, 4465800, 0, 0, 0, 49632, 0, 0, 0, 2344028, 0, 0, 0, 1644732, 0, 0, 0, 0, 0, 0, 0, 3120288, 0, 0, 0, -1003428, 0, 0, 0, -2018868, 0, 0, 0, 779068, 0, 0, 0, 0, 0, 0, 0, 2056992, 0, 0, 0, 1695820, 0, 0, 0, -1546020, 0, 0, 0, -5778240, 0, 0, 0, 0, 0, 0, 0, 283752, 0, 0, 0, -1814688, 0, 0, 0, 1605816, 0, 0, 0, 836604, 0, 0, 0, 0, 0, 0, 0, 378428, 0, 0, 0, 1351584, 0, 0, 0, 4042944, 0, 0, 0, 3738144, 0, 0, 0, 0, 0, 0, 0, -6687642, 0, 0, 0, -2485444, 0, 0, 0, -1806624, 0, 0, 0, 1793376, 0, 0, 0, 0, 0, 0, 0, -2460960, 0, 0, 0, 3910176, 0, 0, 0, -1305508, 0, 0, 0, -1637316, 0, 0, 0, 0, 0, 0, 0, -2576468, 0, 0, 0, -1058724, 0, 0, 0, 1355040, 0, 0, 0, 3366624, 0, 0, 0, 0, 0, 0, 0, 6134784, 0, 0, 0, 1795096, 0, 0, 0, 1945116, 0, 0, 0, -3612420, 0, 0, 0, 0, 0, 0, 0, -1885860, 0, 0, 0, -6434976, 0, 0, 0, -4808256, 0, 0, 0, 1046844, 0, 0, 0, 0, 0, 0, 0, 3626828, 0, 0, 0, 5407884, 0, 0, 0, -1776960, 0, 0, 0, -2644526, 0, 0, 0, 0, 0, 0, 0, 9208944, 0, 0, 0, -3269924, 0, 0, 0, 3078540, 0, 0, 0, 3286848, 0, 0, 0, 0, 0, 0, 0, 2329920, 0, 0, 0, 2618796, 0, 0, 0, 6764860, 0, 0, 0, -8015364, 0, 0, 0, 0, 0, 0, 0, -5086944, 0, 0, 0, -3624768, 0, 0, 0, -8268192, 0, 0, 0, 4369896, 0, 0, 0, 0, 0, 0, 0, -12709236, 0, 0, 0, 5380128, 0, 0, 0, -4919904, 0, 0, 0, -1240752, 0, 0, 0, 0, 0, 0, 0, -3925908, 0, 0, 0, -3313440, 0, 0, 0, 558796, 0, 0, 0, 2109420, 0, 0, 0, 0, 0, 0, 0, -5189848, 0, 0, 0, 3825324, 0, 0, 0, 8036928, 0, 0, 0, -2923354, 0, 0, 0, 0, 0, 0, 0, -7156272, 0, 0, 0, -8508672, 0, 0, 0, -5713524, 0, 0, 0, 14662380, 0, 0, 0, 0, 0, 0, 0, -4411872, 0, 0, 0, 7994208, 0, 0, 0, -3168260, 0, 0, 0], 'weight': 5, '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: 299293
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '400.5.b.a', 'source_level': 400, 'target_char_orbit': 8, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '80.5.h.b', 'target_level': 80, 'twist_class_label': '80.5.h.b', 'twist_class_level': 80, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 5}
  • id: 299294
    {'conductor': 20, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '400.5.b.a', 'source_level': 400, 'target_char_orbit': 8, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '80.5.h.b', 'target_level': 80, 'twist_class_label': '80.5.h.b', 'twist_class_level': 80, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 5}
  • id: 299295
    {'conductor': 40, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '400.5.b.a', 'source_level': 400, 'target_char_orbit': 8, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '320.5.h.c', 'target_level': 320, 'twist_class_label': '80.5.h.b', 'twist_class_level': 80, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 5}
  • id: 299296
    {'conductor': 40, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '400.5.b.a', 'source_level': 400, 'target_char_orbit': 8, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '320.5.h.c', 'target_level': 320, 'twist_class_label': '80.5.h.b', 'twist_class_level': 80, 'twisting_char_label': '40.k', 'twisting_char_orbit': 11, 'weight': 5}
  • id: 299297
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 2, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '400.5.b.a', 'source_level': 400, 'target_char_orbit': 2, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '400.5.b.a', 'target_level': 400, 'twist_class_label': '80.5.h.b', 'twist_class_level': 80, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 5}
  • id: 299298
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -4, 'source_char_orbit': 2, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '400.5.b.a', 'source_level': 400, 'target_char_orbit': 2, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '400.5.b.a', 'target_level': 400, 'twist_class_label': '80.5.h.b', 'twist_class_level': 80, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 5}
  • id: 299299
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '400.5.b.a', 'source_level': 400, 'target_char_orbit': 2, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '400.5.b.b', 'target_level': 400, 'twist_class_label': '80.5.h.b', 'twist_class_level': 80, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 5}
  • id: 299300
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '400.5.b.a', 'source_level': 400, 'target_char_orbit': 2, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '400.5.b.b', 'target_level': 400, 'twist_class_label': '80.5.h.b', 'twist_class_level': 80, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 5}
  • id: 299301
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '400.5.b.a', 'source_level': 400, 'target_char_orbit': 10, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '720.5.j.a', 'target_level': 720, 'twist_class_label': '80.5.h.b', 'twist_class_level': 80, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 5}
  • id: 299302
    {'conductor': 60, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '400.5.b.a', 'source_level': 400, 'target_char_orbit': 10, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '720.5.j.a', 'target_level': 720, 'twist_class_label': '80.5.h.b', 'twist_class_level': 80, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 5}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 836025
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 2}
  • id: 836026
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 3}
  • id: 836027
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 5}
  • id: 836028
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 7}
  • id: 836029
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 11}
  • id: 836030
    {'charpoly_factorization': [[[240, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 13}
  • id: 836031
    {'charpoly_factorization': [[[-480, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 17}
  • id: 836032
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 19}
  • id: 836033
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 23}
  • id: 836034
    {'charpoly_factorization': [[[82, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 29}
  • id: 836035
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 31}
  • id: 836036
    {'charpoly_factorization': [[[1680, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 37}
  • id: 836037
    {'charpoly_factorization': [[[-3038, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 41}
  • id: 836038
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 43}
  • id: 836039
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 47}
  • id: 836040
    {'charpoly_factorization': [[[-5040, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 53}
  • id: 836041
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 59}
  • id: 836042
    {'charpoly_factorization': [[[-6958, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 61}
  • id: 836043
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 67}
  • id: 836044
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 71}
  • id: 836045
    {'charpoly_factorization': [[[10560, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 73}
  • id: 836046
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 79}
  • id: 836047
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 83}
  • id: 836048
    {'charpoly_factorization': [[[-9758, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 89}
  • id: 836049
    {'charpoly_factorization': [[[-18720, 1], 1]], 'hecke_orbit_code': 68803363216, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 2, 'hecke_orbit': 1, 'label': '400.5.b.a', 'level': 400, 'portrait': 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Nw2nJlX+I7LpmnYNheycWbIhpmATTMB2zZadmxSXLPdoaYanDzT4pHnXZ46EvPc6YhEdXn7a9q8+1WWmprhyOlJTl7QnF9IuJSB+9iS5ZZrF/nJD6yyfXaCCwuTLKz6LLcdVtqStW5Cp5fQHcLhk0scOdO+5uzS8l3Pnmhf8fSxzhff+I5vD7/yFx9+uSHxV3r8rWbwS4tttFbyv33sC+LW/Zt/7Xc/+pXrN08fu+Of/S+ndK8/x0q7xXK7znLbZbmtWW7DSjthpR2xvJZwaQ2OLwvmZtf46e9Z5ta9dc7OT3NhocGFJc38suXSUsy5xYSFbszk9JBXX9/j9qvBlTU85TG/4nNxSXNpRdAPII4Nvmto+AlTEzEGOH0pptODnRsdGrUAawUIl97AsGNTwPKaBptKkbUeBDFYLCvtkK0bHLoDhVAWYQJavsOOzUPW+oLTFzSJ0cy0JE1f4DkQx4J+ILm0Irm4bJlfjfG8ITgxd+zv8aprBXOtGsurLc7Oe1xYgvmlmPmVmPMrcHzZ8sr9S/zM96yyabLFmUvTXFqusbjqstSWrKwlrHYiVjsJK13DUldyrgPdXo9f/ucmvnrrzEPb9nzAzMzte2hpVf7rq3fHCDX5ckPlJR9/a4PMz37uk2yam+DshcV/3+4N3/NTv/qpHc+c7NeazZC332a5YVcHYzWJUSRGkBgwRmOtIjVWQIgEISwnlqf46T8S/OwPzHPTrpBmbZpGrUmr7tGsO0y2FPPLikurmq887PO5B2Ou2t7n6itjVlYHXLM94DveYohihcDyF4/4LLR9aknAqYuKXq/JDXsSFjoxBw877N0uOXoB7tgH7S6ERuPpkNkGHDlfo16L8FTMRFOw1oXbruly/JzH3p2GkxcCXjie/nvO9iHH5y0TzYCVTshnvlLHCkWSJLzuxj533mS5tOZw0+4hu7c4xFGL/qDGwRM+l5YEi6sJC6sx8yuGMyuC+V7IjXuX+T+/q8dca4rTFyeZX66xuOaw3JasthPa3Yh2L2Gtb1ntCxYGknYv4pVXrfKqfat6utl+7cWzf4gNb7/zyn1vMkJt+InPffbP+Ja3v+/lhsxlH38rGfyh+z7GnXdNqo98dPH/PH7y0k989eFT6sJSwGqguNg3XL9znl/5kUVu3F1nfnmK5XadlbbPStthpaNZ7cJqO2G1E7PSjVlqw9lVga4NufPaFd7/2pBdGxqs9VosrNRYXHFZagtW2qlEWO0aOgNDJ7D0hzEzrYgdGw0g8BzLuQUHIT12blDs2mLZsqHP/GrAs0eb3HyVpV5b5flj0zQbIWHoMDNlGAzhmh1D/vhrk+zbHhMEltkJSZQMaPoeL5waUnMa3Lg35rkTIfPLLltnPHZthh2bQpSKOLcErmMRwrJzY8xUU9IdePT6Dp2+w0pHsbIGy23DSjthqZ1wqQ3Lw4QdW3u8/3VL3Hm1xndaXFxqsbTqs7SmWekIVtuGtW7EajdhrWdZ7sGlrmJ+LebWfZf4xR9Z5qqtdVbaE6z1PDr9Jp1oT+L4Mz/72KkbfmbvxhPJd73/215u6Kx7/K0C+KHDh6nXa7VDR87sWFt4/n1PvnDp3z/+7Hm0FHQHsDYQzPcVF7oxr7zyEr/8IyvccGWNhdUpltfqrHZ8VjoOqx3NagfaXcNaN2a1G7PSscy3BRd6FkSPd7+mzdtuNVy52ScM66y2fdZ6Lu2uYrUn6PYFw8ASxpYkASUtngM1zzLZsmyYjtDOkOMXQw4c8zBxg7fcFqKdNZ48OMEVm+Hzj8W85jqPhfYAXyviJGJ6CuLIQTsxy8t1Xn1Th88/3GTXZnjiaIBDnTffaojFgAPHE06e89HSZeOUZqohqHkC1xUoAbGBMLIMQ+j2LWs9Q7dvWOsblnuWQZKwc1uft93e5t2vCsE0WV6bYGGllurtjma1DWvdhHYvZi0D90ofLnYUi52EV+6d5xd/ZIH9O2ssrk6y1q3T7nm0uw5xHBOKLQR267+985Zr/6w5ue1MGA0He/bsfbmhVDz+1gD84ScOYvWM6yYnvu/s6WO/fv+Dz4pgOJDtPnQHCb2hzUAuWRhILnYjbt2zwC/84DI37fFZWptkea3Basdjreuy2tWsdQXtrk2X3G5Mu2dY7VkWuoKLbcPUZJ9vfmWXO66O2blR0ao5dLo+niMBRRhLjBEYC/0hIAxTzSFHz1uMDbn7iQZBv8aerS53Xt8nMmvc99QkN17lcPRSj/Zqi9uv7/OVJz02TlsOnrb8k3d1OHjKY+O05MtPKe68RrHS73Di7DQ37g2578CAOKhzx36X3duHDOIeX3pSQSI4fk7Tqmu0gP5AYqwgMZYoBqRBu4Z2z9JoRmzfHPCqa/p8880xMw2f+ZUJltdqrHbSc7PaEbR70O7GtHsx7V5Cu29Z6UsudQVL3Zjb9i3ysz+4yA27fBbXJljr1un0PDp9h25f0+mlq6XvuWbT9uvsNddc+Y9f8YpdH+ytLYfNqWtfbkgBf0sAbmxfmrj3juee/PM9B0/4v7h0/knn3LzDILQEQUJ/mNAbmgzkgvYg1YYX2jF3XLPAz/3gIjfvdlnrTLC42qTd81nruqz1NO2uot2Hbs/S6cd0egm9gaHdtyz2BIs9iJKAG64asGk6ode3vPX2gCs2GeJEoqUljODeZ33OLPhsnop5/rgPps7V2xQ37TN4fp8nj/ZZXGpw7RUNWpOrPPycwy1X+Sz311hdbbFpk+Wxg4rvekOPxw9qtm1wWOq1WV2Z5qZr+jz8fMJ0bZJr9/RYaLd57MVJarrBK/dZ9u4Yguzx7EnBhumI+cWI+551GEYKKSExlis2h3zz7SHdnmLLlOGmqyAM66y066y0PdZ6Dp2+ot2TdHrQ6WdOST+h0zes9S0rA8n5jqA9CLhz7yI/8w9WeeVV6c3R7tbo9D26fYfuQNPtK7oDyTAQdPoJ5+aHvOvtt0QnFsW/+q5ve9exyVb9MzXPNS83tl52gPd6AXEc//3nDjz6KyeO3D29shgQxZIgkvQGlsEwph8YBhnI+0NLdwidoWBhoLjYSbh13zLvunOFb39DzGS9waXlFqudGp2eS7vn0Olrun1JZwC9vk1vmEHCIDAMgvTfW+kJekNLGBtmp2I8zwICV1m0FPQHCoHD7ITmik2C3VssO7b2CZIuX3hccehYkzfd7HH7K1b50BcMrpjiXa/r8xcPx2ydbLFtS5+vPVnj790Z8uVnYNecz+aNK3z2gTrveo2D4y3xB59t8ar9db7ptg7Pnh7y1cc0YdDgio0uV24R7NycMDcVImVEb5iglEErC1jqnmVuEsLIodt3We06aYnCQNEbSnoD6A0tvb6hN0jSVXFg6QwsawNY7EvmVy31iQ7f/cZF/pc7A27YXWNptUW759MtwK3oZf9mfyjoDyy9YUIQJhhrmZht8M63vGnlla+45V8opf/Aq9dfVny9rC5KFK0BwT9Ym7/35448/8j0ymqXzTPp8ikEGCvSjygSBCAESJF20ihpUTLBlZLnjs7x9JEGRy8s8K5X9XjV/iGTzRYr7TqNjk9r4NLr6/TiDCWDoaYfaIaBZRgawsgSRZY4SY8wdrEGpBI4WuC7gsmmYKoJm2YN2zb2mZ1q88Un4f6nHaSZ4E03O7zi6i4PvhgRDlvc+QpBezBgYbnBHXsNs5N9atpjGCsWOxHKCF6xV1NvBjx12Oeumya4/YYuTx1WYCe4eb/LD7x9ha88E/LlxxscPOOzY06xabrGVLPORBNqHjjaoiQYCwdPCpJEEMWCMIYgIv0dg/RmHgaG/tDQDwy9AXQCWOxJFroQmCFvvHGFd7yqzXd+kyGOW1xaatDp+XQHLr2BQ2+g6A5UCuyhYBBYBoEhCA1BaFntJMTRIn/6sS9NHzwT/d/vf+ddeq3b+93JZuP/ewAP+20U+ge+dv+9PzejPrHhyk2C2UaDYWhp1BKklCAkAoEQCiEEUpKBG5SyaGVxlKHmCJb6NT7ytW189ekOr7lujQ+8cY3rdvWYmayzvFanO/DoD5wM2Co9QkEQSaJYEMfpUp9bjEpatAbfhXrNMN2M2LqhT0yPo+cj/vQ+nxNnG0x6NW7Zr7nj+g6PHWlz9yMtbrvKZ8fmPn/8NYESHq1mxFovwFhQAuZafTpdFxPXeMdrFvjI5+vsnvd52219wmiZ+w7MECU+t+7fwNtu6XDV9jZffarPc2frPHvSZdu0ZLolqHsC10lvQilACIuxYIwlirObNbIEUXojD0MYhNAdClYDwUoXhB5y4741PvDNa7xmf8JMq8Zqp067W6Pb9+gNHXqDciXoB5LBEPrZjTMcJgxCwzCwGGs5v+iweGKFp099bsO1O+3PXX3NXXZ+Ye33Nm54ebzy/+GZzAuHf5do9h9x4tSx7z1w6KlfMp1H5pp6DUcrQCBEfgCC9HX2dSkFQoKUKdiVBC0trrT4GrRUrPR8nj3R4KEDHocvRGye6bJ7a4+JRshUK6RVj2nUYpr1mIlGzFQzZrqVMDOZMDtl2DAds2kmZtvGiF1bhuzc3GXbxjX60Qr3HAj54uOarzzWYm2lwe6NPq+8WnPbtR20v8jnHq5RkxPceb1g944FPvdInb2bPTZviPn8Ywn9foPbrzVcsWWNY2c8mn6d7ZsG/MXDoKzH5mmPmYkBjx6KubCgiCIHrWrs3aa59eqIPdu7zEz1OL1sOHhOsbBqmF+1rHQSVrsJy52ElXbCctuw3Emfl9qWpS5cWhOcX5WcbQvm+wmdsM+NVy3xv75ngX/49/rcts9FiwlWu01W23XaPZ9Oz83knU7BPZD0h9AfWobDJAV4kIJ7EBqGoaUfwjCS9PshS4sXGzPNi3f5XLz4q//3B57puu/goa99/H8o3v6HMvj/9R8/xOa9B/jf3me+88DBhV89efbg5O03tfFUk97QUPfTYqP0UAiRglhJgVICrVT2bNAqwdECVxtcx+I5lrqbMOkLuoHDameKj9/f4mvPDtk41ed9r2tz9fYhw0GPa3dZtm9SBJFDkpRpfoFFSoOjE07PW05eEqwNDJ9+sM75pSls6DDlK7bMaHZu0ly5Fa7d3cHIJX77Mw1WVia47WrNtbvbfPVZgYgdNkxJGvWYfuQirQQrUdqlPRTMrwj22zqvu7nLQ0/V2DLrctu103z/25f44Oe7PH64QW/osLzWZNeWGvs297l1b5dvvavLhZUVPv2gx3Lf4/RFh/PnXRwlkDJd9Yy1JAYiY0liw9RMxPX7+wRBxNXbA97zuoANE4rppkcU+Vxc9OkPXPpBusoNhor+UDEIJINAMAgEw4B0JQgShqEhCJNUAkU2AzkMIkGUCNqByxeeXiY2D8/OTO75VbexOfrln/I+fOKF3+LKa3/47x7A/9NvfJR/9p43iR/7Wd6rzJHfedW+g/X3vmGAo2O6A43FImUO7kxry1QqSClRUqKVQKvsWQscneBqgesYfMdSiyz10DLhJ0zVBP1Q0g0bnDzX4Bc+PA0mRsQxN1/fZ9emkDgGYw3WpkkcKQRSCbTjcviMy8FjPg1f03Qls3XB3Ixkw7Rmy5xi5+aEfTvXSMQy//kTLU6fmeS2vQ5XX5EwiLs8csBjsuYwM2GZbIbUa6kUMkbSHipWepbldkK7V+PV167xxME+h84oJls+t+6f5AffscyvfRKeOtagN7CsdTXzKy02zdbZMDVk58yQ/+O9fVr1Ns+dhMNnJY5jUcoihAFs+p+FOIYrNiXceV1MEjlEsYe1dYahw6Ull0HgMAg0w1AV8m0QCoaBYBhKBgEEoWUYJgSZ5h5GJvtafqTgHkSCbiRYjgSdjuZP7rXctu/Fyf/tu1Z/5+zBK+NnTvzQRw88NmWvv+39f3cA/lt/9EESL1Qf+tLH392USx/64Ocv+Y8ftPzCph77rxBY+gV7SuEhpUVJB6UsSiqUUpneljg61ZyuowgcSRAavDAhiCy1yBBEhjC0tGIIIkMQQxgLhpEkSDyixOfQsQbPHoLEWlJop9rYkeCqtOaj6cG1m6FVg4mGZKqpmJnUbJiGHZsCNs+tEdkV/vMnJjh+YoKbrlRcuU2ye9sq97wQM788wc27JFMtg+8O8KSHVYI4kQhriZOQ1Z7P/LLDTVfXeMXeLg8+5bNxSlD3m9y01/Cj717mVz9peOF8k7WeYa2rWFzVzE42mGrVmGpN0KpHzDUidt4U4jkxjo5RKkGKNJiwpDdVFCkWFjVRrIhiRRgpgih7DlPXKgglw1AShCINUENBENo0iIxSxg7DTNNH6deHIQwjwTCCfiTohoLVSNILYmwYsmdXh3/x/lV2TAzqDz05/aF663fM1IbgEw8/8BvJna/5R9/4AP/Yxz7O7ERdvXh64T3HF8/9wa65o/5VO12++OgUrh7yf/3QKtdsS1DSIJVJwa0clDLps7Q4yuJohaMtTihxHZFeBEcQuIowSoEeRZYwTlJXJK4cCcSJJUkMiYHECIyhAHcuhbQExwFPC3xPUPckjbpioi6ZmhBsmI7ZualPs7HGJx4Kue/ANGtLLa7fodi52eGq7UMSscYXH6/TcDRzU4pmfciB4/DiCc112y39QHHDVRHX77ZcupiwuOoyGNZ5yy1dHnhuwNHzikZN4rktrrvS8DPfu8y9Lwz4zL2zLHcsOzckrLY1ky3FRMOhWXdo1Cy+Z/Bcg6cTtMrIImuttJY0YWUEsZHEiSCOBVEsCWNBFEmCKHVewkgQRpYwhCBKCCNDWCGOIKoeKbgHGbg7kaQdQT+IkFGPm3au8lM/sMLbb1d8+gHJhz9/yP/Ot2/5w2NH9/79dn/Hxz73mU8k3/KOd39jA3z/rgWZxMm3b6yv/tfPPH3Of6YBT50S4Dp85uE5okDyntd3eO8be0y1ErrSoGWS6exUDzta40QaTyuGTso0gSMJXUEYifTiRIoohjCSqYMQl7ZfnBiSJHUXEps5JUVBVh6wprLH1QLPlfiepFETtOqWyaZh43TA3FSX2K7x0QckH/z8DBt8n+t3CHZsdrhii2Hn5lU+8YhlZcXn6k2KqRY06xHzpyQLqx7uLggiwdyEZHISjp60rHYMl5Z8rrrC5w03d/ns/T4zTfBcFyUnuW634IfetoAjF/iLB6d48bzPxk7EhsmYiYaiWVPUa5Kap/Fc8BzQOnWYpAApKiAnvbETA0kiiBMyoEOUWMIYoihJSSEyhPlzZDLbMXdlMgsyTiVJLxJ0Ykk3MoTDkAmvw/vfssx7X9fjjTdBf+jwij0rvPeNIXFP+F8+Mvk79SmtHUf/CSnPfGMC/Gd/7dN8/KHke1eXnvzlm3YebtWcDTz5gkscSXzfEsQNvvi44pEXfC6uLvNPvrXPVCsm8Hw6fR+tXBzt4GgHN0wIHY0bptIkjNJUeso4ImWijJXiGKIEksQS58A26bPNfUBS5hYiD2AFjk4B4ntQ9w3NWsxkM2ZucsDs1BoPHQr5w7trHD45yRUTDrs3wbZNLts2wr4dHfpxh8cOtqgph7kpxWQTJpsBUxMxrqsRIr25BoHLSidirW9p92IWVl12bGpy+9UL3P14n8PnW9S9CEe5CDHB7q2K7/6mJV65b4E/vLvJY89PstzTbGjFTNZj6r6k5is8R+A5EsdJYxWlyOzDFOWWtIfVGAqgx4nJVrfMWowNcZKCO44gjG15RBDGKbCDSKSsHQu6MQyHMSYeMFPr8I+/bYX//Tt61D2XTrdGEHo4yuXmq+o8dcjlucPPtP7+u5b/82tuvcH9/jN/8sGZHd/xjQfw1bUOUsl/8Fsf/MTPfen+pZnn52osrRiavkAp6ESCjnQYSMlaoPnlP3M4eHyVd9zV43U3dtk4G9Lt1BgEHq4T47kOQajxXJ2COwN4FEnCOF12ozjztBOIE5kxFRgjMZYS3GmSsrQaVZowcR2L7xpqfkzTj5lqBWye7TDf7vPrn3b44hPTrKw22DMn2LFBsHWDy7YNgl1bhmh3jY/cpzlxtsHejZKppmSikSBlwPlFi6clUoC1gjDS7NzQ4XESOn3Fascyv1Jj7zafb31dm4991eXUvIejI4RwMLZBFEtu3rXKzu/o8MWn+vzxF6d58lSDrVOC2UZCw0/wXYHnCFwnjVW0Ig2cpShS1pb0JjOW1GlJUsDnII+TVNKlYIcwSWtdwjx5FAsGMXRjSTeGQWhI+gHbZru89qZV3nlXn7feYtCizuqaTxB5hKFDELkMA8UVWwZ877fEbG6enzl38bpfvObGd6tBv/u7tXrzGwfg1i4D9vufe+rhnxuuHNmwe1ZwcbmBteAqAIMQAkcKelLSlT7tUPORe3zufa7LTVd3+I5v6vO229rMTHoMhh6DwMVzHMLYIYx0ESjFsSJKJHEsiRJBHEuSRGQ14pnWNoJCldg8I5omi1SWLHIdg+cm1LyYZi1gdrLHIBrw1QOWP71ngseen2TKdbhuq2XztGTjjMuWOcm2jSFXbl3luVMDPv3AHBNKMzchaDUErXpEu5/w+Ud8mq7NsrMwCDTvuDPgc4+mNTHtnmFhVbNtQ5N3varHY4e6HDzq0vBilBQpyE2dYZhq/e9+Q5u9mxf4yL0dHn5xkjOrNTa1BBO+pe4afG1wHdBKoCRZgiz9vfPqDJNJNWPKFS7OgJ4SBERJavmFMQSJYBgL+rGgl5DGPGFIo9bnXW9a4du/qcPNexM2TjkMhg06PZcwcgnC/Jql10kKzVyrxqnzLmefO7nhxMLDP3fbHa82J893fn/X1tbfboBbu8zjT4VcuOR8z7Gj9/zSAw9/cebCYkTdd5htGQZhqvNUdsK1AFeCJ6ErHfqO4lzH48KjdR490ONj13d5zxsGvPnOIdOTLmHgEcQOYeQQxZooA3qcKOJEpqydlAA3NmNuU5bc5Dakkmkdh9YG10nw3IiaF9KsDUgY8JWnJB/+2iTPn5xARB5XTFk2T1pmJxVz0y6bZiVb5iJ2bOpwdrHLb36mQRzU2LZNMNnUtBrQqkcIJ6QzaDDZtAghsBaiWDLtKWIT041cuv2E1Y7i/GKN/Vc2+eG/t8Yv/onH6cUGWkXZjaGJY59hKNk043Hzng7XX9njhdPn+dN7atz95CQX2jUanqLpQsOxuNriqDQZpmQmySrXywDWpDddYgSJhThJm0eiRBAmECaCQSIYJDCILXEcY6KAGX/AW964xvve2OU110VM1BzCqMFq2yOIXKJYE0YZsGOdPaeGwCDQDAJNEp3mwPMXN0xNRb/0hle/Krb2/H87c6HOzq1TfzsBHkddbr3Zf+eBZx/7tT//1EOtB58b4ErF3ESa9vasSF2SOAO4tOgkLWZylaGWCPrKpR9rFgKfv3i0wX3P97n1yz3+6bd1uWZHhw2TilZdE0YuYewQxyXIkxzgRmKsxNpUEpQdPlmqX9k0iNUxnhvjqJDOIGKxE/GfPuFzcmGKpw5OYo3LTE2wYdYyOyGYaSlmJh02zkg2zcRsneszM7nKF582PPniJNdvE0w1Jc26pFU3NGohwgnwPI1W6c+3FpIku8jDiNgIugNDt2dZ6ThcWm5xx74et+9f4yNf9qmtKLSMUkBaTZy4GUgcZid9Xrm7xyv39Hj8tRc4vSj5w7snWVirc27Zw1WShiNwcxkm08CzIPJcqpAyeWwFsYHICIIEhjGExkISQxwhVcCWqQHX70yvxy3XJLRqmjhu0O6mwI4zYKdg1plsVISxKuRkFAvqvuHWay3Q4dhz984MB+6vXb3/xtUg6H/6bxKTf2MAP3H8GNrZob761d/YE7SPtK7ZHjLotVhuRwXQUq9boIRNaz0S0InAURY3tviJoK4EAyXoa49B4rAc1rj7yQkeenFAwwv4+29ts20m5ootA+64tosWimZdI0QqV9KsZForbW2FubEIaVEi9cwtMciYF05Knjik+exjTV440ySM6zS1Yq5mmW5Ypuo29cFbmukJzcykYNN0zJa5AZvnVrnv+YDf/uwGNk9q5lrQaihaDUGzHlPzAh46ohiGGqeRgspaQRhLfK24ce+ARw9MpoVPg4S1jsPSmsf80hQ//LZ5zi0t8+gzczgSEBEGCgAFoaQ30Ew1fSZbDW7f2+e11/f5jtcvcuis4XOP+Tx2qMaREw1ioQkCRT9SKCGLcgjIA88sJ2ANsbFYY3BEwoQb4hNx+009dm0esm024gNvDqi5kkbNIQzrtLtutpLqjHBU4bWnh1x3xElaY39+YZKlVcGDB9ZoHvlC667Fo3u+7zt/UB07djzZs2f33x6AH3j+IK2JaffRRx//vicONH/5kaf73Ha1ZHZSECeKMEoj9bSGJGVsFZNKhMSiY3CkwDEWL7H4SlBPBIGBYeIwSBz6iU+3m/BLH5nCxhEb54bs3zFkZiLmPW8YsGNDSBSJTG9LqDA3mf6U0iCk4OP31njueAOhNacv1Dk/X8evKSY8wWTD0vINLR+aNcFEXdFqKqaamplJmJ2M2TgzZOuGDold4+MPtBj0Gly1zdKqK5p1SbNmaPoxjhPyxUd9gr7E2QAyA1MUSxo1xVtuHXD/04ZeIOkNEjp9zVpXc2m5zjW7mrznNR2eeqHO6ZUmShogyvSyQ5QogihNzPSGmnbPpVmr06gFXLNtyG37hpxdaHPq4hraSXj2hOZj99QRKi1cY3z+oDWAAWuJwoSdG2Pe94YBs62EfTstG2cgiR2CsEkcO6x2HOJIESU6i4NSQOcAT2OiEtClAZC7XGlCaWEVNswYbr9ukf079v/yi88/2d+0ZccHTxx/Mbxy9/6/HQBvL58hCRb2nj519tefeuJRmYQuBw5LppsW15FpplBmrC0hzlLwsRHoONWJUWJxklQDetriJ5Y4EYTGEiaCwEiCRBIah8jAYq/FPc8ZLAmfeiwd2YA12ZFn8TKLTOQViRKpFHGkkUbjaEnTg11zloZjqHuGugd1T9CoSZq1VA5NNCVTLZiZiJmbCtgy1yVhlf/05z4PHtjA7hmYqmfsXZc0azH1WkijPqBWq+MpiZKZBieVA1HkMBwIBkFCN1D0hobuwKQtcw2Xc/MTvHp/wI++d55f+ZjmzJqHEAZrI0xiiWKHMJIMg7SMtTnQNHyXes2n7tXxvYhmLeTmq0JcJ+KWq2I+8MY+WsVZEsgghB0V5dlKa4xECInnKMBlGGiWV3Vat5PkMU92xLKMgWJZPEdJCew8sRRnQWv+Poxgsim4clsNT7k89dRTcuN259fPz3cfSKLh838T2Px/DfCH7v0UtZpTW7x49N3d5aPi6it81noQxxYh00BSILMMZZqAkcqiElBJqg3jBHSS9j7GeUSfZFF9HtkbUb43gtBIYitJjCYyHklme1UfRZZSgBYizVQq8GsWX1t8leA54GnwXUvNE9RcSb0mqfs6BXhDMNk0TLdiZiYDNkz32LJhmd/+rOGP797I9knFbNPQaiiadUWjDvVaQrMWcXHZcPyih++mNzRkcsAIhqFm1ybDptkhnaHLYGgzFpesdTXNmk+zPskH3rjAiYuX+J1Pb0VLjcWQmITYWKJYE4SKQZgWRfV9SX2oqXkONS+h3U1jDNdJ0oSZk6Bl2ighZZrOz4vb0tKVtIQzBbmgbWTmRKVxTZJIjJHEpox34kRUAvz8deU5FtnXc3CTfV+QJOn5WFpzuLTksLwW8uShp8XVV4fvvnrf3uN/9OHPDD7wne94eQH+Jw9bd6Z2+sdv2nzox3dsWJVJ0kIvKfrD1FNNTFpEJaUlMVktdyJIMnkSG9BJ6lcnefLB2Oy9Lb5Wvi4r5VIvVxSBUlVzA1kmz2YBrUFLspoWcJTA0Tb1jbXA9yS+K6l5ipqvaNYkzbplopEw2YyZbgXMTvXZsXGZx44EfOTeLUz5HhubhlZdpOCuSRq+oeHHNOsBjx2GZw/V2TNnixLgPG0+CBS37LNctWPA489P0g9s2rU00BnIHep+jZo/yfvvWuHZIws8enATWIUxCYnJsrWRLepJBoGmPrTUfIXvGjzXwXMTPG3QOsHRaXZYKZMVsdm0ZkVYBKWeK4NzkZ7f3JEyuf1asWJzYJsctPl7CmBXAR2b7LlyzePEMhga5pcTjl8KpT9x5P98xxu67lV3+j/7AQhfNoD3eoHsdPs/9VP/4ff+xfHnz7o3X+2zoRXjOgpjRaa5LInMDpMCW2VJhURZtMlem7SB1iQUr5M842bzzFtaVG8yFZInbyqZ95EVN09V5wkdJbOMpaJStJVm/zxX4XuKmieo1wTNmqVVT5hoxEw2A2YmBmyZW+XRwwN+6g82cubcJFfOGibr0KopGjVFw4eGn1DzI1xnSHuYFos5Ko0/8kdiUoaLYpdWLaIfG/pBuj9Pf5jQ7UvaNUW96+F7Ta7YFPEz39fm331I8sjBjVgUxhqSxBAnMWFsCCPFMFQMPEktUPiuxHMtnqvwtMFxUr9fK5vV+aQAV5lMEcKO9i9mqX2bkYjNalmSDPCJKZ9ToMrsWZQAz14nBWtTJN/SGyAlsig2hFHCIIRr90Rctfm421lt/KvB7u90guEH/q3n1/7a6fy/NsCtXcHa7s+eOnzPP9/kzfvHozkOHhfEW9N/0tEp2KQUGCmIVQ5ki5EpuJMM3CZ/bQTG2CKNbAqPFqyxaRd5VgJaPRgDeCa7s8AylShpTXkqiXTWiuZoiedKXEfhe+lIhppnafiGZj2hVY+YaIZMtwZsmVvj0UN9/t0HZzl8Zpqd06nD0qxJGnWZsnfNUvcT6n5ElIT80ZebSKVwpEWJ0iY0Nl/CHb77Tat86cmQbujRD/J+UUW3p2h7Gt/18JwW+7bH/PsfWOYnPyh4+PmNGCtJTJpWj+K00CwIDYGflrt6nsB3BJ6bZjZdbYuMrVYmlYmyLEsuAF6mPIGMREhzCanbkgXyOYCzqQOmSK6RsTvFilsydQ5wWz5nRXAAm2c1e3bU8VWNz3xlxX/s+P3/6zve9gZxbr7zr7dt/Oslgf7aAP/ag0ex1t7+5GNfrd26P2TL7ARrXYlFZIU+aRuVMpBIUEaQSEFSpIdzcOfyI/2aKWolyvarFOgiraPIQZ2f+LHPVfZuZnUmkrKYKqsjTwEucRyZ1m+4At9LZ57UvYRGLQV3qxEy2RowN9nmsUN9fur3p3nh9CzbpgQzjYo08TUNP61fqfkxNS/EcQLOL0/hKIGSJrPlyiAzSSRxrNg8ZYnjiE7kMwgsw6zBujuU1PoK33VwHR9HT3D1tph///2L/Jvfg0df3EBiZArwxBLFScbkhsAz+KFk6KpCgjlOSjpa2axOJQ34Ze6NZ8+XwXgqV8iSQogiOWSy5FCeLU6SytdNKTmTCrCNKa93gYPs2msFJ89J2j3DyYU+b2l9qeYlG28X9q+/48RfC+AnD32KK/YM6//qJ+9x73sm5Jtv6/CGVyjOLzQYBKKUFvndLLP3Kn+fMnWiKX7JUWDnMsQWQLe5HMlfv8Rnk6IsopJZe1sObiVl1iiRyxPwHfBcQ8231LxUP9drEa16yGRjwOxUmyePDvnJ353iwOk5tkwq5hqGiZqg6UvqvqJeE9T89OZIU/0hjx4U9IYuvsoytzJrw7NloBnFmoavuOPaLo+90KIfkTXyJvQHiq6n8FyF67iZfp7kmu2Gn//BBX7st+DhgxuIjCQyJmuWLnswA1fiuSZlb6eso9cqP8hkSinjZJblvRzI86SQzQGeAT4pnBcuu/KaLJaqAjlJbPb97GvZ+2GQtr1dWDG85tZlXrvf4d6vfc1dVt9c//0Pf77//d/5tv/+AD90+DyiuWXy0Yf/9Dd3bY7uunDJ5/QFibkBal4CyNGAQmV3bbZspYxd3uVGicuzdgXQpgB22RRMpr2LiyHSgiIhM3BnRUaqADiorGLQ0eA6pJ1AblZg5SXUMnnRrAVMNAdMNTs8cyzgJ393imdPbWDTpGaubpioQcMXNGqKek1RL9g7wfdimvUh9z3rstb2mZoq0+Q5YEymTaNEsWFG8cZX9LjvCZN20YSmAnKJ70h8R+NoF61rSGm4Zrvl535wgR/7LcvDhzcQGU2UVQCmZa8pk3uRLKoLXS3ROivCkgKl83ND8fnymzCXKiKvSqNMCI0fpvJsTOW5WHlHwV2t7EwKOWoynW4JwtTV2b2hwQvHWpxeDO/as/fM7/39D3zbj7z7zWfXpue2//cFuMMpZHD+xw4dOfft7XaH6/f4uI7H8lqSNifodKlLZUmpw1Kdnd/l5R2fy4+kkCEU7D0SSI4zd4b0PCNXaG+ZV9CVujuvGNSKtD5DWxzH4rnppFjfTaj5MXU/ouEHNOtDpifaPHUk4Md/a5ZnTmxkw6TDhnrCRN1m4M7Y25fUvJT9fS+m7oXEJqAbegglcVRZeyOyTGbKXplfHDk03GFaLhD6TOUgHyb03ZTBPVemNfE634DWct0Vll/8kXn+5X81PHxoI5HRBIkgTEzG4gI/MniOxXXS3lWdxR1apSXCSsrs/GRd+flzpTCruDGrsc4YuAsSqhBTFdxFXGXL12WsVQI9Num/P9uUPPHCBK4jCYJFpibPfPt9Dz9zPI6if/PflcGPnbyI9Dbt7F74v6/fs/kELcdlEAiwFLaTkwd2xpZBiLFZR0le1GMrABfFiUpM9YSJClOUWUlbXTNz1q4Glflym3XoqCyY0jrrDMqKkPLqQd9JMt0cUfMDplp9JhpdHj0Y869/e5anT2xkbkIzV0uY8C3NDNw1P7UTc3DXvATfjWk1Qg6estz7VANXShxlsiCu9Cjy5TtKFLHRvO7miD1X9jh+psZcnbLPMUjoDzMW1gqtnSJhJoTl2p3w8z+0xL/5LcMDL8wxjGppMiy21LMabs8hBbnOVy9T9LZKlRQrnJKiAnBRATnr9EoJcjsK8KJCsVx5L7cyl+xeVjIm+c2R+SULKxGWdFjRC+dOcq57//W//JP/ZGd7+dzpiZltf/MAt/Yk4Fxx9vT9//HspeV3bmqcYbI+x8JynWGoi2jaZuxUBB6FvWQxSS5HxLolLfeHbeFpj7kk69ySjLnHwS0sUuW2YJY9VRlra4urDY5j8ByD58b4bozvhdT9gOmJPqvdPvc/Dz//4U08d2yW2QzckzVLsyZo+KLwylPnxaTs7aYAr3kBYZIwHPj4Kr3JpBAjlXx5IiUNNHWq5XVAEFoGkagA3OC6Ca6jcRyZThWQTgFwBNywS/DzP7LKL/1JzMOHZrjQbjFsSCYTSzO2+NnEAc+xmfefOym2YO9cquQALz5v9qGrOC8UYnZR8lW1BPeopMxBW4B9BOglsIvvWbBxqtOHEVxoSwa2w43x4js/ffejyZ6rr/tfH33h/Knbr/2r7en5Vwb4A4+co1ar3fb40y+++4v3nuLO6zTfclubmUlBu+tnTQeycleKog+wsJKUKCRJCmqRLW15wmZUilQBnp/iqirML0JaxJWzd9mNXw4HSstiHW2yMRNJAW7PzcA93WNxdcDP/VGdTz8yx1JvirkJyZyfgdtPdXc9CyxrnqTu2YzBU+3teyEQ8rVnXFYjlxmPkXpsxOgKlSRp80PL07zhpj6PHg7pRh4TRce6wQ3SWnVXpwDXKm3IFjJN0GDh6u2SX/mnHT736ICf/f2NnFuaYjCpmXQFzdhQj8GL0tHLrkorO5080JSiCILz52qgXr0xhSh6RYrrA2MSsgrsSvxkKuCv5jEuB/K8Fn2lLwhkxDvu6LJv47M4yaZ31xL3j6Tsn/obZfBeb0C97l/11Xse/mdfufc4Z85Nc/5Siys3ttm/M8F1Y4RQKGUy9i4bDRJbvrdVrV2AOpcgtrShxlm7KkuyE50zS55uzl0AlQNc2bQcV+e9nWl/p+skuE6M70Z4bkSzNkDrPvc9m/B7n2/x2Qc3EJoWG1qCWT+VJakFmPvkKjtExtxV9o7QOuChFyfph5rN9fzzjDN4vrqlpaS+o7j9mgGxSQE+iETatZ53rgcmDQ51Nhsms/dElly3CGYnBd/++h5N7wK///kB9784w6WoRt+XtGJLQ9sU5DqLQ5TN4hKbgTw/h6KsHZcgKVl8fEfBQqrkIypgTJtXu4fK2vOc0ZPLBKdJVooRxRAmsH+X4bte62KSJp2V48SDm/7ZNftf/XQYDI66Xu3/PcCfOHCWxTN343itLb498drb9gy4bnuDILJoIQnCMK10c0AauY69S0lSsveIHMm1NlkyYQTYFeuhal8JOyZN8qxcWjGYjnYzWc13Bm6V1mJ4ToTrRvhOSL0+xHX7fPhuzS/8tw0cX5zG8Xw2NQXTXkLLszQ8aGQd9jUvzXb6WUIorV9JspUglSdLnYRe6OIqhSttEWBS+VXyGzuv3Qhjh5ozZNPkgLV+k0EksnFraazgOElm86nM7lTZDJlq4JpWPr7zNT1u2b/Iz//hkD/+4hwrcYO+59BwJC2d1uB4Ou2sypshdJ70KebQiCILnCeAqqQyKlaqQGdkBTZ2VGqW2nzsKDLWoshcJzZt2tCRy1cerRNEmuXVIYcuHXrtriPxlqXlzlETnEB6X39DrL8U4CZJ6NVee8XhQ8/99vGDD/H6Wwe0ey2iSNGopRdLKZMmCozFVtK51o5KFGvK+oY8eCxOAqIiScSYNMnBbUs2ybJvsgpwadPxEyPMnWQgj3F1Kkk8N8BzBpyaj/mdzzX45AMznJifolV3mPZhyktoejZLvefglhm4ZZEU8jPt7bnpjdNqBHziIc3R0zX8bAJX0S5GifJijINNdXgUa67eCW+/pcvvfWGGXl3TymaPeGEWNyiD1jJ1PxQVkDsVSk1XhR2zkn/9XX2u33WO3/rsNCcuTbAS1+g7moYS1DOgu9KmN07mMhWrX35ec/uQVJ+XmU673ifPiSkvnSh88/WWYtFFZKurOGV9UbbaS2lZWYMHn0sIYsNiN2bDlgd57c07fnvTjtvfmgzX/lKp8nUBbpIEISWPPPbMtmeePbr7U1+J6IdD3nJzl8m6T5w4I0DMR6CZrAKtLNSpFu9QgN9W2duKggVKVshp247owBzY6XNZzKWkyVyTnL0THB2nnTs6xvMCXB3QTUJ+/aMuv/+5TZxfnsSoGtMTimnXMuEa6hlz14v0vczqVDJpknnnBbjdNHsZRCFHz3n0Qo8pL3Nx8qRT7krkWVhbqUmJNK2GZte2EOUN6YZNBq6gFqW+sKvz8RmpRNG565GNt1sfvCrmJvr88Dv7vPt1l/j9z3X4nY/PsDRoMNA+vlbUtaCmLF5sUzaXqVTRsixvyLOc65icy8iVcYcFGImlcvBWiKzK4kWclrtpAImgG0HQholWj7e8qsM33wiXzp/Y3RvObtu998ZTw2GC77/0iM2vC/Bu5yL1en1uywb5Udl/0dmzYYI/+HSDB55b5Gd/YJWtMzV6QycFsxEoK9OinEoVWsHYJmfuCrAzwJeMLbCX/SS2YgfaAtgj8kRmVXIqHSKkdYJWCa4T4bshrhPSHoY89Jzkw3e3+PgDMwyTJq7rMuMKJl1Dw03nbNfdEty+J/E8iZdJkzQxlDkTGcBdJ818nrxouf/JOmHk4DXsugCzII5Cg6dEEEYKx9G88ZYuH/lKj8PnGgz8dDRD4FjcGJzI4IQGpWTqW0uBFLIc7kN5PhMjiY2k7mk2Tg74l+/vc82OgD++u8kTBydYHDQYKhfH0fhaUJPg5QOWcntVluUWJchHa1bGi7OqjJ4T1Lgjlr8vtbeosDlFvVFi09a5TiDYsXGNn/m+BfZtmeHpw7N85bEjzrvfc/tH5xfXXtHr9xb/2gweJXPyuRdfuO3IwS9NXLe7i6MbSJXg1BVKhfiuyApnJImV2IK15Si4x2RJceTAziRKlcFHCn/SHp2UyYuUsinKPVPdbdEqSQGukkKOaB3R7kU8+LzgD77Q4u6nJlhpN5E1n2ZNMelYWq6h7ljqrqXmkrF2ytw1T+K7Ct8V+C5ZhZ7JwG3wnFR/Kx1w5Bycb/tpYiXTt6OJk7J+Ju2DTEEeG0kYaja2BFdtH3DgTEw/cgiyGd9uSAo+lWQSJU/UgBzrzMlvntyGjJK0Pvx9bxzw5ltX+erTXT70xRZPHGyx3K3Tli49V+MqgSsFnkwbwbW0aJHHNdkUApGV/V6GwdfVr4wzeYXQDJXA0woSsoSgTXV4bCCyEBrBMEoQJmB1rcZTa9M8fVjx4ukumx753MRk86237b7yui/wdYYHfV2Ah4Nznqv4ry8cOt94y619tHbYvslyzZUhV26WxLHBcUKUUZkkKQFeBffIa5Pr0ArAKydkhBdGpIkdKdBPZYnJNLdBySQdiJ+7GTJisRtz35Oazz/Y5NP3T7DQaSB8H6fp0NIw4aSdPDWHTHZAzRXZIbOS00x3uwIvZ+8c4DrGdWN8N8TaiK895XH6Yo3ZaYEjTaZjRdnoW2E7W7FQk0QxCBx2bhS88aY+n3wkpBc5DCKB76T9qm42WapcpVThV6dz1CnPqxVpX2reqGBSv73mBbzv9QO++ZZlPvVAl889WOe+55ostOsMhMvA1WhHobORHo6UOMJmUsuiEBVpOGofXobMR1ywkrlFEYAmFcaOi0MQ598zBpTh4PkWv/QxwY1bDZ1uwIU2DLsXGoOh+K9HT5y7Bhj8Pwb4ateSxMPvtAuPTL7r1Us0apbJ5gpKGlp1QxRplErQwmJtkoE672YvZYnN3udfG7kIkPZOXqYmcCSgrABbCJPZgQaRAVzrBFdH+H7EMEg4fB5OXVD86Zcn+MITLRZWG+D46JZDXUmajqWpDTXHUnPAd1Jw+046kzAtM5WVQ2TftxnITQFy10nb045fMBw46YHjZMu8raToxQgKqkFYWi+d9q4GkcN1uwL2b+tx6HydgS+oxwIvsgSKzNozGXvnbkpuQZZapfDZMyvSGJVNH3AYhg61WsD3viXgHXes8aUne/zZV+qcuuBz6HydcM0j9jRDrZEqneqrAJ0950xeSBfK4H/do3BTSlAbSlAbSsck/V7a+FyI9vzQmpPLml4va2+MFb/zqQh/8gDTU1/fKnxJgK+ttUUUhT/6Z188ODlb77P/iiE374nQSuD7CdiEJDYZC1eBLQsGKYEtKwGlyEBN5XkM3nmkXmi+NKmRShKT7fKQ4HnpJNU4Sbi0DF++R3P8XI17H6txfrXG8QsN8DxUXeNrRUNbGtqkLoJj095PJx3XloI4P2R2qAzgZJo7A7eT4Dkpe6c3VsjJRTh4qo4jR+3BQqJQ1oMXjkLupJisrzF22L9zwFUb+jx/IqYfOzQjQaDBjdOZgKoC8HRDADnC5DBuv4kimM37KKPEIXBcWrWQ735TwGuu73B+tcPXHnc5cdbjS0/VubDskwwcjNRErkLkO25kXfmSLOMJhWy5HMhHAk2qWercbck1qll/kKT/SBgz6GvOewKpE269qs+12yPm6k/NvvMt//Cfhf3zv+jWt142fHtJgB965vNEccKLL6zyxMkNNCf6XLOtw+te0eXaKwI2Tyfs2ZWggSSUGGSmvUeZvJQiGbArLJ6z9egns5WIvWTtQoqoBMdLiBLLibOCAycUX36szvMnXV48WaMTeAShB46Lajl4SlBXUNeGWsUH9nRep5GXzaZ14V4mS1xX4boyuwFsqb2dJM0sOqnO990Ia0LmVySB9dBa4kqLrthsYwRegDyxo/2OYewg0MxNh0g1pBc59LVInY6oLBjTyoxkIKWoRLH5sCNEERPlrWX5YCQnUcX4iX7gsmkqZMfGiJuvDBiEA/7+yTbPn3L58qM+B076nDjjE8UKPIWVCoQkkZVsUJGkuIxWGRHnuQ+cP5vK89iRDmpBY9i9K2bLdMy+K2Jec0PCVVsVE36TF08OG5/94lPfLoT6xf9HDP5Hf/YFjs+31fOHDoj5dkxNOFy8NMWLp1p8+YkOE7LHjq1Drtsb8KZbA95wYwjW4GioNWymsyUYQRylgM8DyREGr97yNgU02fwSR1sQqb8ehZb+MGX0U+ckf3K3Rz9SPPOiz7GzHks9lyBxQbugHFRL4UpBTUFdWXxFOs5MZYVHKmVt1xFp0qMKbkfiZrLEc8FzyVyTNGXuaIPrxFlGNKLmhyysJnz54SbtrsfUhEBnXnxe9CVeitlMJSA0kiBQzM4o3nzHkC89MeBMu8HAkalM0eDEFifKPevMY5dJahdSnXUii59hrB4pmUgSiZsoEq2InXTsQxQ5qZXqRDTciNdcF3P7NQHveu2QI2clzx50GISKP/5ynZOXHBCS/kCThCov38TqHOBjllE1fTsCcMAaRGIRxmIzYNcaCY5jENbwhpsC3nRLwLV7Q3ZusfjCo6YbtLstVjt1ppttEvWg2LXrTnXy0BfjXVe/5a8GcCFgojHx66fOhDeQWHbMWiZrllOrmgvdCRYDzcllj4cPRHz0qzFzUzHWWG7aG/K+bxoWvXZzE4Ybrwtp+NmKY0WRA1t/zUUxnKfdFzz7nGa5I6n5kscOOnzmAZ9hpBhGiouXXIzQRNbBCAe0RngaLSWuEvjS4mfA9pTFUzatAdeZ56tL5nbzvswC3Crr0RQFe7uOwXXzAq2kYG/XjVAq5J6nFZ98pIlydWq3jejvl2bw3AtPktzxUAyHDu+4c8CnH+rwx1+boBf7NDId7uQ6PCqrN/NuISFkAbD0R8mK1q8A3GSjHXTK5I5WxFqj4yTbEyhBqXSQ/pQfc+e+mDv2RVgR8J7X9xlG6Ti3v3jA4/GDLjVPsNRRPPu8S6cvM5UkeElRXuw8kbYG3nhjxOxkkjZBJIb3fdOQG6+KsAbmpixTkxZlFYlxGQzqLK5OcGFxgnbXxdEhEw15g1eb/nVruey+KOsA3u/3qNXqrS98/jP7btjlqMGghhCChZWQi32DlQJcB2MsgdHMrxnmVxPAcORMnc/ck96JNrFMTBluuyGkWUvrgC+bnqze6pnrsNZTPHHApdNWSC3TmShWp8wkNOlcYA1SI6XEkSIFs7R40uDKFAiuAleVM/pSkIuy4UGnjQB543EV3CnDZ2W1Ts7gSeWI8XSEtSHnl1zCwMebkLhZ2ltlVXkjWUxBSV4V67ToTjeKMHKYaiq2z4a4Ysgg9hjEgppOh2DmNSR5QkvJanmrLH5W+jPyxJsps6fGZM0npTSK4yTLG6hsLntMFCeoKM0laJUgZcy2WZOtGIZrdgwJ7QCpDe224IkDmrW+RBWKZTSoHrnSWTFWwzfcfkPExJTBxunKXlPpuUtdIE0SS8JEESc6G7chOHrG59KyizEutZqvXqHCfW968zta3U6302yNTqldB3BpLhD11S9um3zx9a++bpkwdtJaBd2hI4cce2AyBZjyQFYDAkNsLe18CVKGzprl4j2Nyq94OYBX9Vt2cYTA5FsukNWcClUGOVJmVlYO6iztLMk2bs1948qzzjrpFdnWexTgTtu6FG4GbldTlJimDJ6xuDa4WXbUcSI8L+LskuEPv9QA7eJIUQaYhTwR6xi86g/nQ0JTsKWDdcLI4QNvHvCp+wa8ON+klzjU43RT2rQK0JadOCrPCVSDvbx0MZdCslLglR+mqIXRWuEk6bwUJwO6kmXSLK0bz14Lkw0OSh00YRNm64ZvebVJ9zPNtk5B5PtnXOaaFzVGAowiiTT5PJY4kkSUNmduWAD4XsCzJ9b4469M4JA6Vf1gyOH5o6/ffMW5X4zjeN2eKOsA/sQTn0QI6S7MH6I9aLNxSrB3e8jJiyHtjp9+YJm1zNuqpsq8dptvgGRBWRKnAu7L4jtntxzgo8GLkLJoQVMCHJGmlT2RVgs6Mn2vJVlNRdY9nhcSaSpzUMh2Ziu76kuAy0K2eK4tWtpc11QG58Q4GXu7OkLKkNOXBIsdH6E1nmREnsjqr1W53FXpMAK8zOkIY4eZVsDOTQMOXQoYJJphAl4icBKLE2c6PKZwlsoUuhrpVMhjuzRHkXdViYo0MujEkCiJ0vn25SorVkuQymQrhSmt2QzkIv/ZpFOyRL6JWGYUFJ9AjF343GgokntlXJabEowlBIWwOCTMTA7omjanzjXYtyNhYiZmZXCSv/jKZ1xj1gNsHcB/7cNrCCk4fLrGxSXDvl0Bt12b8OBzU9z3bAvluwgpL2vmp4WTVSD/ZbKErCunUlgvBJIyRZxOpQJHpN1CWtqixiN/XXwtI/uyFJSiwdZVIgX7CLhl+uzmQM+DzwzcefePNoVEcXSqT103Iibicw/VmF+s4Uwo3GoNR9VBYUyRVlPXVowFgYphkE6wfdurejz03JBO7NPXmlpsCLN0upJlQVRecCaEoewcygNNwUjdh8lmqlhIVPoztRHESqATme1il9byxBnQy2SaKRJs6YZho7kJIavgzmzeYq+Yl7j+lUI7ChOikgjM/owAkkTxuhsCfvp7lrj/uT53Xme4aqtgpaMIzJnLrhYjAL/vvnuo12uv/uLd998ih21mvQaXFpr80V+kgzDnJkcrxPKUqy2eywTOXzappRAkebJApLvSiiyRoKGw2lSWMk7nm5QaN591qPKBnpk8qQK7mIOiSPsRLwfwPODMdbfOZYnN9PZoLbnrRLhOyKW24aljNdBuOgJa2iI9XzA4oyyeM1fpA1f7UmXhiUeRw017AmYmB7RX6/RjRV2BE6e/i0rSAUoqqgKcFOTFD5JjlZoi65vMavSVITECxwgSJUmUIVGCOAN5tXgtL4eQOcgroM5LJgQmAzlZSXOeiS6TdiPFGCP1K1U2pwB30a6YAb43qHPNdsmezQ5Laz6HT/gstz2UP3fLVdfc+ep773nzg697/RsuD/CNkwO0jr5l/67kRkJYbntsXo5YWEtY7EBnKAhiQZwFCaNgH63lNpe5n0Rmn1TNpPwuz7NiJThsweDjJZw6r43IasDzUs+0uTjvVElliSq6V0pg5823KXtnmltT6O3cEkwZuwS3U1QnRggiPvuAx0PPN5GexpUinb9dVBBW57NU66jLi1qMRqtUYCZGkRjFYOhwx7UD3v6aLr/z2SZh4tFLJH5iCWKylata9WcyOWfGbqiXYnIwWmYNv6IAd6IkSpmU0aXMRkuYSilytQbIliAfyTbnTJ4v0hWZKtaTeXXkXlnDksVjpnKejCSMNb2+x+JqGmjOrwjOzwc0p8Ib3an+t8RR/OBlGfzhZ8/ScyfefOzIJ79rtv4Cd1zvcfJCk1bDwxDQG8ZEcfrh4mIeRvpBTCUdWVUklpH7NftlKwyegTsHgKyAQlLWPFRHG+TMnW5Bkr8nY3CKNqwRFs+6YRw1Cu50nMIYc2c9m27W3ubovOEgrhwRIRF/9rUWifVQRfayGmCWfY25szGiwRlr1zMynQ6V5MGmRuDwvjf0+aPPBayZiEHiM0gETkzB4lJaZCyKorPULhxfP2XFmhQVkAsSnY1yUBnItUWZVK6kY/bSCsY0eyyL0uTSoqxWd5ZlzEVTSgH0UqqsB/jo2j4C8iJWSc9NGKW7QyysOhw9azm/EHHsQkJ94iRvfcuG73rja99+73fZo18S4qpRgGsZ0/SHex56NtndXlzjX7zHsnFmwM7NHi+cdegO0x+cjwFWBXvbkaXmL1Hc6S+dM3lFnhRAHyvPLLT4mObMQV+d7aGUKLV4VnE3MuwmA7ZWonRSCjsw7bhPG5NtxtxlgKkr7O05IU8dkxy94GOVg5ISVxr0eJ1GRYCPuyj5UXQ6GVHxq1OQR7HD7i0R+6/s8ciRGpFyGcQCX4KTWHScbSYgsi6cONPhyFQujPxIUWFxUZFG5SiPfCakVqaYIaky6VeCO68FslmZQM7kFKuHqIAbkU/Mujx7X+5h8+bVywwCBWjUIoRKuO8Fl0urFiOG/PDr59m/9drdSWT2JBFfWsfgU+4qdTXkFdsM/+X+WX77c0t895vO8+KFGvcd2UbTanxddtDkd54d/2Bf52MXzF1l8nGgV8Ctiprv0nYrJYtIu+dFCe40yBRFt7guwC1HAF4d/pN221MAu8hWFsyd4Oo0sZN2BUVYIj72tTrLyzWEp1PfvXoTjteglOQ0YhHmzbfVOu7CmzaKKNLMTkve+8YuTx1rESQ+feVSS1ItnpezKkkG7nytMJknXo2GKtnk/Gdm8x6rU6nSQ6JMviLZ4rUstlXPNLjM9zvKpYksmyPGGXysaaVM960vtBtXAdWaJSktvh9w+3Ud7j8oWHtB8z1v7vPKKxs8/HSDq4IOcVQWFxYAf/yxj5AYxRWz89ywr8vvfGaOP/zKLIlRuDgo3xYSYZyMXurdOvbO/lfKk7HnKqCrLD4yXqxkbFllcCUqLJ7LFYnSowB3dTYAyMm3DswynNriFKl4k71ORg6t0s6dF0/DR+9uEkgXJVWWvRy9EcczmOuW5fw5Z/GKm2IyBo8TjZdo3vumIX/whT7PnagRKYe+lLiJydwjgUxs5TzZtL1MVNdTk/2s0X2LqkyeGNCFhZiOtlZZSYBKbDmss5jLIoobOh7T4+n1rBbLUWHyHOR/2Vo/qs3zh5IGYwQt3+EnP9AH+jRrCR++W3L3E09zy5ETBFEp0TRAv3ORWnNT/aMf/YVdf3b/BR491GSy5qe7oLlputvVtgjuXioJuw7M1fdi/PV67f3SEkUUwBkfhywrjJ0HmfnUJq3zTV4z7a3GwJ2n7528MdmkM0OKFrG8pzPOjgjlhBw9r+mGLiidyRM7Vh47fuOOnpDRgUZjXnjWjVMmfjQNR7Bv65DnjoYkxmNgXPwkrdnWmQZXIt3INU0s5WxpyIPMksnLSs+8w10Xg03Tr+UDU7Uh6yBK+23zhuR8ulaSd/cXBkAZXBaB59j1ztGyrmFixGW6PLCEyBNjAmPqONpDK0MUJdxydYR0VlG1Hbv+4ff/7/Uf+J5/0r/qyi0pwI+dvESz0X5TEO35sWNHzjKrYHbGpEtoBbD5XVm9UNVV5qUCyuJrYvR7gjSfUwVCCeyyj1FVWFGNDNXMQU5ZI60qoC5eZ0keReaFp+BOAVwOBXKq8qTK3irr63RDVrqG//LnTZYHPsJzUnki7ciqUg7O+fqac2SaQO4WFAyeOipxrGnVNf/4W7t89akWy4FLKDUDKXGzHspy5EPG4NV6emGKMlqLycBtsMgxZ0VkDG6LID0Hu5IiY/BUEiWFi0IhU0odXrYTljIlDzxLq3Dk3Iytci8F8LzhOYrTjb3Sc1i2Rm6fFMxs3fljh48cejAOB58qGPzYsRdwHIegd4ZXXClYbEs6fZPuWR6XMwWriaK/LH+Tf6DqBR4d7DjG2pRp7XRO3rhEGR1MUwBbCqQqx4+pCqi1lOhMkugC4LnmNkVQ6WhTgNvRef3FKHs7KsJ1Q/70aw4vHK+BdJBS4uWlsRVrs9gjPvslX7KakJLNi50qKjIlNjLb5Mnhut193vmaDn/wBR+jPQbSxZOiSPooKYgqAd04k4sqk1ezhpWaGKNA2XRVMFak4M6nhBlIivkpogR45TkFt8gymqU8KZyVEQyU7/8qj2rfQBGMZ3sAhZGk3ZOcuhCxZe0cVw4lYZhuDKEBWi1wXcHqqkG7hlbDReskHagepiN5o6QcRD+exXxJYFfckvTLeWG+XTdQZsQzLgJLUbJ5wZB/GcBlCXBVqaHWWV2KQyFFHFW6JU5lOFCpuVP2dnQ6tWq1bfiLe5ostT3wM/dEVIKxl5AoCDHK5JXs7zrbruhplZgkd1M0Uy3F33t9n08/NGS55xEqzSCRmT0pMvdGlM3YcjyxYoqaDiyYgs3L3kidOysqe52NvTYyHX2dn/cqyEW2c14hJTN5kq7OVT0uxuSKGAW4sIjLaO7UUCkdlfwcxbHI9ieSDEPBYCiIki4xMYGRhCb9XfWRI0eZm5m+4p4HH/vRLz2wQBxINk8LfNdhGCR0+wlZbzRSgBFjfZTrPw+24h5Yxi52Beijh7i8RMkTJyPAHp39Xe1wSYe7MwrufGeDnLlVhbnXMXg+bqIcOaFVmrk8eUpw5LSPwUNIXTTnltWD1fhBVFyN8pev1qKUTC4q8kQUTkbRbpZosJqrd4bs3jxk+VANm7gpiyepTNEVF6dkz2qhV14vJEs712Zsbkuf3MhybmQ1tlEmvWmMJNPe+XUpyagAtxHZLJVck4sxqSLG8GCLN+MyJcWQKBygfOZ8ECq6A0mnLxkEKfnt2e4wO7nIlZte8aNX7H7jM2dPHz+lrbUMgmCT54g31+WA2S01JpvpL9XpS+IknZEnZQnWl6qbqoJ8XG+PPxezQhgF+ag8ERVnQlSCzRLQKYOTjQKu+uDVI9vSWlXBXQF5tl+9k5WG5uytsvdaRygV8blHmhxdqoFbyhOnYl2O3LCsHxexbtkt2LMacOYZzVEtHoaaK2dD3nZHn8dfrINxiJNUiztJlt1NRqVSyZzVYCkDubUjs2qK1zJ7LbNVReZHeu6TbMWQImN1k6+wtiCmMuFTfZ2xdKW9rWh7qYL7Mq5TmfjJ7dX0/AwCweJKSsJKwTBwmV8asmmHfHMUDzdFiTmlfTcFwewkvPJqy/RkmM7L9hK6g4SPn3PTnYHtX37BGPuAOXO9pD2YnwRGtXYpU0RRBjoO7ILNlag04VbAnc0nLLftYD2wdTkgqBjxpk0G8jiVJyqiVg955LDiU/c0GAxdqGu0FDhiVJqMf/7q73xZgDOmv8csw6ovHsWaiabmXa8b8oWH+jx22MU2HAaJhysobjRV/PxSB1fW0gLk1ZxFGnxmN5hK2TyRqR43FdbOg3qTBZfSiIr+FpVAdzSGKnV3GRekXxMF0KvgvizAqxATFt9NaNRinjkR0u1LGi74rsCRMa+4NSGKDcMgQdfcLkoKNkyvcf3eC3iuplUPOH4x4d5DDY5dnKblCjxHlCxV+fEvdfFG2HodwMclyuhE0zK4FAVoinl5qrJ7gxJZbUoJ7hLkedmsRetyhLLONmHSahToTsHW6aFUGmC6bkgUJnzh4TovnqmD4yCkykCVzQ2pBJdCjl7Ucdcov2IFa5NNZq1kMo3Nt+2ThSeeJJow1FyzI+Ytr+rx7KkaQeySSIeBUbgJY58l98IZY/D0eV3Bp8pvNoNRApU3iUuBVSBtqceLFVWCNJVZhqZcNeQ4wMfjEsaA/xKZznEnLh+06nsJG2Z63HnTGl96wufAhRr1miaOQt6wNGRvP2ClG6D/yx98mpqnOXZ+jYef9/G0QDsevaFLv+OxuQnCK5Mq48X74qU+TIbq6oVdp7m5HKhzxq4GmOUOBKU0qViFBWPnAC8npxYSJWPulLFtwdS6eC5fO1lwqVWE54Y8f1rwpYfq9AcuNBykyCsHqdiDl8liVn7P6tnKa1FSdGWVhZcpny3nmqii26fZDHnLnQGfvm/Isyc80C5DI3EzLa5MusFuVRqIhEIekIx5u6p0crSilC4yZfN8VcmDfGNTsEtTwYSpuinZNTcls4/nONYBfAz0I7gaw5TMpA4WtNS877Uub7mlRy9o47oGQcJy/x6eeeIgUoTo1dVFhi501yxRbwrlCIyApoaN05aal9ZIO2qMwS+jlS7rexcfXIzcwZdlcVkBe1VzFyBP9XY1m6lUVmGYVRSm7VzZa12dDz4G7uxw8im0WYG/VnF66AjHiYhtwmcfrHH/8zXwNci0odmplPCOlMZWj+qbyzxGZmqTl7NSNCMnNp9rUgI9GDq89ro+b3t1nxdO+8SxgxWKgdA4CcVnEknJ4uVHuDyTV4fYK5Uzd8rm6XuBNKLQ4YXfnzN6vtqakmFLPV5l71HAlyAvXZXL4qiiAKRMb7h05fEZhpqa32LSS7uJHJVwoR8xv7aQbtuSBBP0Q8mkF3LH3n4x8jgvQF+vo0Z/4PrlRKxj7PJ1+kZWAV5p66ruLDAC7BGpUk3TVw41Bm5VOXS5CWoOaKcC6tw5SR2T9FmpCNeJeOaU5KNfawIuSAchVNFFpLKNVKtZ16ojlJ8hUZwTW57AHFRUmbuiwa1Id8RQ2eiHYp94jbWa971hwJcfHvLE8XSSQGQU/URkBV8Z6JIcOLZ62aDyWay1KYtXgJ5/V2WgNzLbzycPinPtLTM2F+lzcQ1NZWBnJfs9wuYVSVKer5cKNCvyJUn/bCgUg0Cx2tXlqmgEUWxwXY9ZX2OtRd+4TyOlIAgcVtY8wihtbo2iaqLHjGwMNYrq0Q9TMrcYXYYyUJcR9WV2EhAZSwuRnphc2+XMkQdyVZBnrWnlZlPpzg7lAPwS3COsXXnOG2tzqaJUjOPEREnMvY/VOHCsBo4DMg0uXWErk2OrgdV6QhiXJ8XFqLwoGiAqNSIj1YWJxKjMUUk0Qehw7e4hr70tZfFBkrJ4IFyGBnQiysAvye3CFCSlREk/QNXyrVqXSoJVFmmzylGbBqLCCqwAaUUpVSpBZcne2XU11Ru/Mtf9MnmQ9CxdRotXKL2cNZ7unBzFIs3TZFgdBum6JGR6cvVV20OkEIRRRHs6ZBhoekOZ7rY7gF7fMgzTqDRJcg98bAu/yoctP09uCYlCqpTSJF+qRh2T0T1ixupPBMXeO8XuxXnz7UjDQ7l1iVJj4K4MxS/cE5WgdAXgmURxdcTRi4IPfaFJEDlQdzJ5QtGapqq7BBc3brmSjeiV8YcdBXpVplQ3BzD2clpc0/Ak3/OWPp+9v8Hh8+nNlxhFP1FplWGSJX8Qqf5OROlWVFYSS3k9c4BLW2pxmWl0aSxWptfISpEC3FRipZzJTTWWuszKVgF01aOvkuAIwMt7ESjLe8NIMAgsvUFCb5DQHxoGgaE/NAit0FphrUE/237/RjN49ie2eJ/n5j0xw6DOMPRYaftcWHI5cynbe8fY8o631b1yqiwuRi7wyLJUYfZRSVJlbyogL9l6vMhKVmo/VMHeFWDLPLgcBXc+26/U29lraUrtnQWXoY35xNcaPHO0lrb7CI0SaeZSZzXY1ebiqkxBjLLSSz5GNHhpFRbj7ozJJvdWQZ6OUwiHDjddNeBb39DjVz/sMjAajCYSkoFJYwRpMjJJSlnImLOSOyh5wIu1GXunq4qyYDPv29oS/Dm4pc3IyI6uYrlkGQX4ejel6spVrdVq3UrB7dm5SgxEMfQGhvMLEZeWDSs96MaWXhhz5/55/s2P3PkTN9++/4e07J+YPHO+/9Y/fsxhyyZ47fVrXL0dlld9FtqzhFEdY9NloyjgH/mxowC/rAVUeV0mAKruyVgNShU4I3XgdkR7F0CvSBJV0d6q2OmhshGVsmOSJK8UTApwOzriyAXJR75aJ52/krJ30bmf/3zByHhhWfm9q4GmqL4pZMmo7s2LrcpNAiobBeTAthKTKBKVafFE8/439vnkvXUOnnNAhlghGSYOmqxeJD/XSXbFkjzxkzN3dfm3WS9kOhsr/2wyA5a0IG0qW3IQS5v+DGsyf9xkAerI6jwK9stKk8rXqqpElOAaSfZImU4dm5vtkXghpm25fceAu66PmGtIXKK3Hj2wNKlN3EeZEIY+h4+1OHA0xhBhkoRNrYQbdobUPFlqZ0p9vV6WjAM8X26q0fSYLKnqWDn6eoTFha0El5XXBWPbgsXVGLjTiawme07tQKUMKve7VYySMSpj8ETFfObBBgePltpbCpl630UHzUswFOPvCxFXJe7K69EG5BFPvDKRShuR1qbIMoUfRppr9gS849U9jn/EI0wUCE0iNAMh0Elm3+XkU3Q6isqnsGUInMtPK1A2Y3RSaVKweX4IW6b4BRiZAt/kMqXig1fBXgXyOrBXyXIdtspnKcFXlpkJuGHvkLnZFeJIYI1PkkyytOrSH0gSEaHnph2kcbjpKpd2X3B+SdMZaqQLUz4EoUk70h1ZYdv1Ue+4dhq1g8Z/wfWJgMs3N4yydv4+Z+0c7DlzF0BXVSYvdbfKg0hZkSayHJqvVILjRJy4qPiNT7QYSod8glbZNZ+tINUa6KokWWfkvoQ6yRMsRZrcFi1sZcq+qsHFSH1KYjRx4uAlMf/o3T3+/N46xy9oUFEmVRwGQqByeZLp8SLYHAN57s1bQOc3XPY1aTOJgs1YO/fEzQib2+znGCkQtlw91psJGfArJFkF+3qZsh4rWqcM3u5OoaWPkpZO3+Xcgs+lRcvuqzRT0xK9/0rDYGPClBvx5CGfQWCYqKe/kO+mPY0l2EThdKz/EGM10GOJnOJ1VuV2OQasAluMsXaeSBkFtyklihxlcD3ib+c6u6q/K4dMWdzRIZ3Q8DufbnF+wQOlM2tQZvLEjvjexeuqnhxhqdFE12WBXpUqReNBtUczT+HL4iiaIaQiiTVb5wJ+8J1dfv5DLu0onXpkrSQwKrUNk/xzWEgEpW1Ygrz8f/odld2F2fym8lmWjo+UtmRwW7l2mf62BYO/RMBZYWaTc0MVQxUmt2N/35rUQVluuwwDjVKWOBGcnTc8+NyQ5SRm62aDjpMBUdzh4soSRy/OYq3DZF2gsvkh6ewQUewNU/jWVVlS/XDFazG6FJGBdgwM48ydA7tkbVsJNm0RWOaNr0qVQaaWFqVNxuimkCapHDEVqZIzdlw8axWhvYiPf9bjtz/WIjBOKk+EKuRJ0VQ8ZomN6O5CklVhfXmI25JAK1ZhFfR5yt5ijCk39yqSP+lW4L6O+eH39Dhy2uX3P5NqcVAkQjI0ae+mTCgYvCzAyi9WtQS6tCtTUJeSxdqMzUVZKJaSTlrqakcSP6mMKerSMzyYKsmNYEaM4mdMthRYkvnNKCBIBxkFgURrS6uesGdHl6PzQ6RvwBHoR1+sce78BPc9OMfspGaqJfA8mc4UUWV9dbXw6fI/fPTr662g9dH0+sIcOyZRbCXIzLborm4ZqMpiJ6VMRarkYK4wuSyrAwvdXTynswZXVuHPv1pnNcjBnQLckan21mJUnoysOrldVtWRl8F3VWsXUiX7xkhV3/jWi2asTlzKbOsYTZxoJtyEd39Tn08+WGe5q0BGYBQRqR4fry4cveVemsnTPFCZFMrrU/Jg02YsXgA688mNZYyx0+uJECnDk0mZfKUbS/wU9944zkx6kyQJxIkgDEXRxBJGgumJFu99tWJqY4xXG6DjxOC5lqu2KyabbtHmNTLX43JyZEwrFQCufhi5HuzrArJq21MBmMqICGlHtHe5H+b6oDIfTlOCOxkJMPMgM9/nRlfY26nHfPYen8cO1DAV7Z02NeTyZLTepGjNqrD3iEVY+d7lSTxjz4pVWN0Gu9oMYatBp5UoW/riceKgTczt14W8/dY+f/g5F1QIQmKFIDAaJUS6BUkeaIoS1ONyhYoPrvIeidw+zGtnZKVQTKbZ7xHmtilubAUDJiexnK1t/r0yhV8AGy6DsRR3sRj9e/nP1VKy3HbxHMONU1BvJug3vbLP8nLAM046VCUfzmjJWtQqNcvVZTU/HdUPMy5TxoFd3ATSllJljLGFGGNvMQrs0kXJ3iuLzkaMSZk5JtJmuroiSXLHRFYkikzdE8+JOH5G8qHPNrnUddP9rmU66F0Jyh0bxuKFdbq7QgaXY+91EoWSvUdclPGtFvMtGEe67tP9c9LndPuTjY2E7317jwcPeByflyAiQGGQDIWsbCKVgiO/imLkLixlUvH/IpuZXYcqm4v0dQ7mXLbkK3H6vXz2u8j0dva6mIVTvmaMzUsBXp6o/MYq8wipxEqlnGWtm7CcOEzP+OhhpNFasHd7QJhIVtuaQSiJE0GS5HMyytfVC1K9fuOeZhXQCCpL5Kjuzpeu4sQX9dUV5lY54MdAXszIHn+dFNq7SOjk44BVjJIJOrMFXTciSAy/+act7n+qlobnUqfaW8q0a0eU81eKz5qvLNWb+TJMXsV5FevrM5ila1Hu8V4tn62W0abtZiZ3VBJDLDUq1rz25pAfel+Hn/pNlyCWaSOqkcSZqyKNqHy2FOQjIxxs2pJG5fOl70UlNsi667MkUBpgiuIGKILO4qa365I/1eFP4jL4GTWj7AjujLHZ9pU2Gz0HSZJufb7ataz1EnbsFnhaoh866HFxQTF/bo13vqrPzOQM7Z4udgALI0kQQRiDSEQxrKa4cGMBwYhhL8ju3JewBEcG+1yGvSv7z8vLyRNpi27vdNtsU5EolbG/ue7OZlwXwaWMcdyYrz3h8Mn76wShAzVdaO+CvYvAdn3mctz+qupvQR5wXp6+q4VN5VTVKrjBqrzKcLRWPDESaVKpkgM9jjW1esy7Xzvg7vsHfPkJldqGSBCSSGgG+SpKvuSXBVmQsrCtyJXSLqzUpcjsc0pQ2e+Xv7eZNMmBnl9fKwSm2H4wCzzzvlGxHj9VP7x6vlJcGqLIEsbpc2zAWEunD9Lt823fvMztN22n3qyhkwCigeTkmRaPTdS4frei1YhR0pIkgt5QQy8bRm4YpaIqmMfBjb0MoNezuKjq7aq3LCuORa5/i/3Us1R5kdzJgVwCW6sxoKsS3DoDt+tErPUsn32wzuGLfipNRFoSK3LtLahMkLLrwF38bsXvLypA/zr6JL9uWelDbsmNHuXeouuHA5XpeykV0iRIo4kCzd5NEW9/TY/HDrq0wyz9alI9HqLI94GQZN74SBltueZY0uROATCZMqnKWtpKNs+lSpbwEVkNeQF0UVx3Q+X82ZLhx4E+nlPJP0TK1hDEhl7f0A8gMemq3/AV1+1psmujwndbuLqGvuYKyaYJh6ZpsGHGoV4LmJsaUnMjYiNYXKnTG9SKSbJfz8IZaUcaCyZzhySXLXmR0gh7FwFmCewS3LkPXgaXshjMbkcYeySgzBM5VRdFpp3yhoT/9rkav/2JJlbo1PceYW9K7S0v87nHAsqScSpNDl+HvUcq+RgDdcHk61vZik13jcEkEiNTX1xJQ5Q4SGX44Xf1OXbB4bc/qYniEuQGQSAkyuSDJHKtUAF5AepMV5AuAgX8RZbSz9mcLLMp0n/TZquzLYBuCwdOkNuHo+AuV0FbwVcejFYm1ZIFslaw0oP5TprpbTjpnlDn5zXtTo1rQ4/paQe9c9OQ6XpAzYTMTAbMTXfxvS5HzsU8/KKPTVy87KKNXGRKNr4sqHN5so7txsaMVaVKxePOmb2ciZd532OOiczBrcbkydie9SrbeybV4BGOG3HskuST9zbo9RyoqfXsXdR8V1YXUSZ4RiTZ2Gv4y5M8JYNXQF+RLNW5Jcbk9R4VoMsc6BIjUy0upSaKEpqNmHe9rs8XHqhx7GKWVEgHVJMIwSBL3gsBwmTgtiXYbQHqzC0hS/4UC07upOSp+5S9VQbWUp6MAj0Hthxb5YtzV2BLjH7fln25Wkt8T7J505BAdXj0RYfjZ+ssDTRr/YSajtBTCRvCBG1lA8/tsmWuTbM5ZGUw5FNfcfj8ozNcnK+xb7PLzbsNM5MKz01LUy/HYC8F6vzCy1xzifG/b0fkiShm35XuSQHunLlFdTB77pyYke02ZEWWSJk5JhmTax0TRIa7H23w1aezakHppAAfY++8yEsJwUgwXCy1o+nnHOHiL0P2KKGPAr1yGJNlD3MnJduKJNXdppQpRpIIiUokRiiiQPNNN4Z80+0Dzn7eITCpDs8qoYjRDAVpxWEmSFINkT7nqR9V8GbuqGS14oIC+FaIkuxtek2tyALPEaCXGVVTJHvKWTlCpHHeqBqoaHrSlkXPlcxOSm7ep9i7M+Lsazp8/vE1PvFgi/PdOjXgNqWZaHjoqemr1i4Me194+Ejyvxw4JTlwYgMnzjaYa0hu3G7ZNJX/3lnhfKUupOqEjAC7Klkuq79zMFNZvsrJtXKctQugl7sMjDono/pbFen3pPI6Rsq0U0e6Mfc94fILH5wgsbp0TqRCCJnuAyTKtPwog1cdn8uz918hiVkiO2fAdTLFjsgVQz71KivGEqWjUmhymXrjwmji2OC6CT/+fR0On9Pc97jEuCKDbPoLREYxGBFUtiJLLqPJCy88W23zz5sFlLkOF9kNYChHSdgqHqD0yceaIEYkiihZPw+IyeSssXBmvkEYazbP9PmBt3R5ww1dnj7R5fDZJls3+V/Yd8XONXW22+g9dmD++BMH6z/06HM+NeGza86ydRrmJiSTLU2j7lDzRDG0strgW2x4msuOanJGrS+YqhZJVeu6ZQHYqgVYSeRUAsqioOolwF2VKnokoZP2Wp5bEfzChyZ48OlG2nAq03Y0pIOWgpoET5JtcjXaXLz+yBqgiyE5o8OIVNbuJdVYw3RF15fvReWmv8x5zcmgMgdQjEu96vcszM7EeNry2HMuawM5ttTIYop4WXGYokuMAP+vcrdWboQx+VWtW8ztvuqfHbdKy02qyr+XPxesTlp8FsaK3tCh3fOZqPnceKVg99Y6Nb34vTZ46rAOQ00YSVoe3LY7xvfAdzU1T1LzFTVfUvPSfSMdXYIwP4nl3XZ55i5OPBQz6wppMuKiVLfFGJUm8jKaO99h4LKHqgaWWSls9jpxEz706Qk+dU8D6ysQKkWn0AgpR/oty/7Gr9MxX2GfkdB/DBfVL1tGuXEcEOnr0W778Q4fk80PtBlzW2vKGhUhkUaRCI0cJLz79QNePOHwi7+rCb244uEKrHEIstoZkefXk9TEttgSlFnyJZUJFIMqMwMoDTZzRs5kS2oPlgtCfv1tIT0qK3ySfyRR3JyIvAgrm5YlbdEzbIwiiiWDQNLpOdR8zfyKh6sbTE9C00sL1LTvWIw1uA5M1RzqNY3vimIzVCfbAUHLSnvWuos32rIlGQe5HZMoVefEMj6CdwTsud8tMoBXtPcIg8uk4qRUwZ0gK7UnX37c44OfbzBMsin4IrcGs6ylsCPa+7Kp+SrQqzf4eOA5fqIuq1JShOTe87qMJnZdCa2VlcymrDgrQqXZPJkVZ0lDYjSeY/i+t/V4+FmXLz+d2oW5N44UGKsJTNqOVhSRjFuHGVILKSUEilyaVECeNz1UNHf+Z/IqQyFBWjtCEoVDN+bElefNFBnPMIShMvSHEqcvss17JZ6rqHkS7ZisuhD0zVf5mb6K0TLMpEg+N6TUv5BpP1sOTs8lW3lRx3V4ZVY0rF9OqwCv2oNVcItyZy+1ToebUQ98nL1lUgaYOqIfwM/+3gQnzntYXe6WPKK9c4k0AuwxQHMZMBeXQozi+esI8vEZj6MZzWrxVVWPr69NMTKrOJRVFleIxCCERoaGK7dG/NsfaPPwv/LoDrNfJhtQCYIEzdBmnzEv7jYlyK0ETAZqS+GwqCygtJKsKynDRFaTUiZ5KnFb/mdGdPn6kdN5PqW86cdGegtDPhPeKapfBWs9D99Ld+PWt90wAUJj4jWi4QpCqhE5AGlwE8WKMJZEkSRKysZYRj5MhbErkqQK6Cqbj4zevaxEMRUfvLKNXcbmBXOPuCaV3Xkzz1vriDiBX/t4k6cP+annLXPmLp0TR4zKEiVGWVtUwT7G3BROQDl083J8vY7Jx5yTsgGirLlIwWzXVxuKlMGLoNPIFOSJxIjsSDKpYgw3XR3xj7+tzX/800nCJGNxKKLCBEVgci2e5dorIC8kiqhkOUW6Qa+tsrkEYUrmltmUWWtL2XJZ+9jm9mBlEcnAnablIYptOvUhSR0myK5VFhPGiWHXjknmZlpEcYLetu/NKN2ivfgE4dKzbJnTqWOS7bdorCSIXHoDj3bXo4eDRZJAsSkQOVvDZQFdfR6t5ahuYDQqS0qZMro/Y8neSXkjVpM6I0cWWPoJX3nU4/c/3qQ9cFIPMPO8EQohROaclFnLaimvGvnc6/V3WTU4OsWq3F9tDNBjrL0O7yNAt1QTQCVrZ1Nhc0lSTQKJ1EZMpEJak9arxIqWb/gH7+nz5Asedz+ioB5nTC1ypBAbyZA8pihBbklLYylsy9TzzmLVtKw3lzBZZ31VvuSrt4WsUbnESjWlTy5dKvdVun8RhJGlF8BqX7IWwCCGODuBSqSrXKsW84PffxPf/KrrWVnroR3HRzs1PE+zOBwyf8pkAE//YpIIfEdx5SaPIJxJU/eUd06VweWY7h4Hdu5nVi1BMS5LKpKklCnlDrspwJNRv1umVqAs9lVPA0spY6SOOXRK8xsfbXFsOZs0mvnd6bMs2bvS8DwC8svJkxFpMjatab0aGVUp69yFKouXiZWiEYLLpfHHhgTlhVjWFJvKilyqCIuQGhlZdk/H/KP3djl1SXP0vMDqqsASIB2SDOSMgZwsCaQqFGuzmEtl7J4HmnmRXcHiY9IlXfBG58iMyN0Kg5c3v2AYW5ajmF3bO9TdkCRLsQshMEgWVhTGKrTykCpCh3GC4yWcXbL8l483eeLIVOoNk+8CZpibDHj3XUNu3KXxtCJORqdXvRSwRzOXVaCX8mSEuTOpojIZUjJ5RXcrk70fT+aUQFcqQcoY14u51Bb87O+2+OTX6lhHlen4TJpcjr1V5QZ86YRWiYmqzK4yerVmpwp4O3rVRsCef219TUpVh+eArgageeePzIqa8tdZ8JkYYgyOTF2VdiD5sV9RzK8J8Kp0K7DogslLeZLdaPlzxtpKgjWZfCncFJEFmaNMLmTqltiKC2cpPfFCrlAJSLP3Ois627HB8Na72rznrh6zE+mNbLMKSWsjvvr0kK1zMbEQOK5Fr3VdXN+/dOZC80uOuOrNN2xdxRqRVmgZAI0VDs+9OEFTOmzbAE7uqii7zot9KWBX924ZB/nojrlmxDmpbh2tKhWDSuRsnWYqZeaapK/TWpMQw2ceavCVx+tZrUluCcqMwXP2LncNrs4brLol68piKxeDyvfGmbsA/7gWGZMr6+YU5h6xKav0qpWGMnNTcj2eCIEQWeInc1aklBirsq9JhE0rDj1tedOtQ97xqj5/9AVJGIs0bZt/eAkWh9gKhllnsBVVmVLV5OnIZpsl5GyhvdOCLFmpSpTZ9/JnQV72UToq9nLnPMs31DzB1jmPV+6aYXFlmsWVdCXI9/gMQsvOjU32bnG/tHHSuTRwFOp3fvNX+ZY3v3ptw5RYm24k3znoLjHZdJioCybqgsmGYOOkZNucpu7rYs+bMilTsfaKBE6e0KnUcYyUu1YTO+UejCNlsCNWoB0Bd5W5qx3xOgO31jGJNHz6/hr/129NcPKSlzUxlAkdpEZIgSfBl+kge52Ngctni68fLpTbh2UXSTHlVoCUkmJbFTE6pD+d1CXHEmKUc2CqRzWgrZYxVOKbavdTOqUgzzWw7s+OxAlpYMV0K+GaPTFnFxRHz+g04VPcjeXdmjsg5fiL8T8zfieP3+TZv7N+0Vofh1QSQNXiNSXT3aprnsRzHfpDj/7QodvXrHYdltsuS2su5+cFsdpDL5r53148dPrRV9z0mnSPnprXw3MjWo2QzXMarV3CyBKEaeSqJNR8ieeVd9xoA0LFy6545eOyZNT3rmrwkrlLaZLJFFW6JrIiRXJwy0pAmVuCjpNwckny+59ocPi4B01VSJI0sZNq71yaFH2WjHv0XL5jvhJsFpdcjAaU47UoueWV/4nLJXtS1jZjCZ/SRZFFxm80fS9FuuuBFLbwxkXB7DLDosEIhbCpNx4Flqt3R3zfu7s8fsDl1GKFNougM5UhMYKhSINLshFu+V5NuRzJdXlRozKqelJ2lun3cvlRJIJE6YPL7M/IrK5W2NHOsiBMaPcEYSzRSpEYSxBZosgQBAmiHuA2B0RRZROqmQ3X4Lg+m/oWOzxFozZkretwaVkzDFMAeA7UvHTLa6Wr49JMpYZ7PKEzLk+qW86VwaaobA+dA1sUwaWhdFPywqmKLCm+lrG3SljpCn71j1rc+7RfVgnmGcsM3EqS7VBcHYNc1kooUWXB9bbg5YA/boH/VR/V7vqRqsJqCtvmkiUFVCFTRAX8lUynFBYjLMKk59kIlb4XKr2NhCHpG15/Y8A//UCHf/97k6wOSjclNeJFBnJNLEXhoOQgx6RAJgd8Rhb5Zyz2vMriVLIbIvXCbQnu/BxWSrLzG4UsgI8TiCLLUBoQSbonqBQEQcLCasJa1+B7lle/Zit33H4tvd6gBLhX34o3s/nuLZ2/+IV4sPpjq50AqSYQYhLflTja4rsWz7X4jkkzm/kYhiIQHGXqPPFT7H47xtjrGFxWGFyU8mQE4CrJvlfxu7M0fM7eQ2n5zU80+d2PN+kmTpatVCOuiRDpmOHcORkpqsqBm7P5yO9TYerLgtkihCzf/hWQPt5dX3VR1tVyjNWL51ufyMrIt5y5jRQII9Pza9NexSSLPYQwJEZBbGk6ET/0ni7zy4r//EctBrn0MDmbMwJymw0wyXNCNgsydYZga7KxEtmfLZI9lPahzBwXKcaKrQSYbFCRlfnvm9ovpcgxWctaui07WCKZEPt92rbGPc8t/ML737fv7qB/qQT4vqu28OM/80/7ritOPn3Q5/xFn2u2uezeAtOTUPcygDum2BVYK1O0ixWsDSAuL0tKh6USUBaALmVKydy2kCRFgCkqDK5GmVvKGBzDi0dd/uTuOp1Ig6uAHNi57y0RZNKkOGypa7O44bKZyqqOpWTtdan5yt/5qyC9SNcXxUY54MtipBTItnITlM5KPihISJmCOQN5al9KjMjS3EZlzJ5ah9JY4sjQ9GO+4009vvSIyzNHUs1Nxtjps8hYWqVMDsX37BibK5EGomok2CwHBFUZu3BQRlL3WbVAxvrSgFG2Ml0gTfrkxDA9ofmWawx7tkWEIuZS94WTH/7I/7+99463tCrvvr9r3XX3U+acmTnTO8PQmQFBEAF7iSZiLDEx0Zj4atrj86jx8bEk76tR84lGjSXGbowaUREUBSJKEaSIDJ1hGKYwfc6cuttd1nr+WHfb+5xBUBA17/p89uy+5+x7/9Z1/67f1f6i9cqXfywHOMDzn/UneJ7HoqEbuXPr7dSrHpWyoOIryr7Cd+MCuFNqoguWLS87kgWwyx5gF+hKUQrsU1BkH8BzS16IUvaF4m0n5s6HHN7wvgHu2u6hHZnTksyCy4IsqLNGPv2TGuaTBuejKT2BnYIj1uMk/Xwj3kPGM/o9j+6dh+p1okQYSpKCWiYRTSmMJi40CK1ROgW+CdwJZQAeY5AkAs2Ja0I+/tYpXvdewV0PJs6JTP8YkZ9OUkuOUdncgnyo0pK2hKKkZ0WdqTCJmpIcF51KgSoZVSvSs2BuQARGWowsiGIzr9WNSQqvwbUVew+6HD4ywCmnnsgLnnEmnU4X6AP46cc3KJXLjO9XbN8WsGCg+C2LxAAAP6JJREFUynAjplaO8b0Y10kmIRSCML0SWJ511pOLAglFyS11dnseoMs+WpI6lSLVvq0c2DIJ6NiOYlZLPnlJha33ecRWwWqLPN8ECrJgD6iLGY25Ve7vOzinLUQP2As/ShHVj4Bw3QfsIsJ1sU6z5/HUss+TM65NO2Ol8hZ7Oo1sisSFFTKR5aTh40oTo7CF5pTjurz+RU3+9p8dZiMBDpn1zqw5ApRFLARBWsamhInkJNcaU4yc4kGr1BmlRx/v0bwhyZIVvcciPaZR0r0s0nQtCEIIwpgo1mitqNdnONqCQ7NjdDvN7LhmAD8641JV/oMz7cEdYyP11SsWtqlXFJ4bJXMj8/yUlHqkmmxebZJKSblFFz2gNt78XJAnHDuhKHm+SVwAfJzko8TGkosIS8TYTkxLwee+XeHiqyt0UzD3WW6EkeiyhKpjWO9HzBQUObB7gzki+yHmIvvn0ZN+610ABvTwcAVZK+OiRS9SFgPunKoIbbi4kgqhpalv1NrcVonTqU0bBldoLrqgxX27bT53SZVmiDlgCQ/PrhMIx0rmjmQSqjc5MgbIlkhzVYp5KoU+KoVjnUAGIKv/TdtIp/mrWcmgNHEL14HptmJiVnNidZiVY4M7lo7aD7bbVnZMM4AvXbKMH137/asWLx76j/GjA/8nUPewbplxKDuB6W5a5NimnEoSxRZRMqxUmYHImSSWBYDIk6l6AV+gInPu57JgUUGRIs4VFDtiNoDPXV7hvZ+pcXjSMX1Aejh3ehEF663nRCvn9Gwp0K/0lDpvyL7Pavc8Jx4Z3Cmqi4lW2WM9dwvZm4njlVKT1MgIlVhsCtY8U1mMspINgSKx3qnKgkRgE8WahUMRb3/NNGj4/HerzIaJBcicTk1WiIzBQJA8rTF9EHVyALLgD6arli5Yc5neT/dMYSkNkRKEMYRKEKi87j+lv6ESRIGm7GhOXDPNggUrCKLqf9xw43VXPfMZL5wLcIDth2w83/vevbudF64a4uQ9RyexHVixQOPaLkpJLEvhOjFaSZptl1bXQweOSfwpWLZeB1PlyVXFzMEC5xZzgJ5e4jngTusrpa+59Htl/uHTNQ5OOMapnGO9eyOWjigEqETfnB0KgO633AWduyccX7DTov/Bx7iKEc0c/CJ7YP7QfR7t7AF6IhkKnWviQqRWm+Q6Bb2x4iibMNAsGoh5+2tnODoj+Y/Lq+Anp445ljwBJJIQo5K4qVOZbkxlzpSkDmchvVamaQA6NxCp5Y5iaIaSqUDQ7ig0CtsxjjRa4TktVi9q49mwbMxi0yq99YT1+nuddtRzTK3inUv/84u87qIFezYsaW+59f7w1K/8oMSNd9fYctwUS4YjpOxiWy2uu1Nz7+6YJaMhtrQJQpc4lubHyBzJ/kBOcp1Ii8Vopei32taxLXca0LF9xYP7bN73uTq33++Dn2rcfamwMsk3kSblIq3YSWe7z1eO1l/oYGay980M6rmfD8sS6XMJB84Ga8nCdV5rUIhIFj67uKkkvbRJpkGmNKhGoRJ9bl1sikMp8rOvmMdPgiSsLgzC6nVFydf85E6HiUnZi5Q5WWUiO9Oo5IlUJdH5Cwu3c0qn+/LA0ySrSAkmAxDWLM8+/RDLFsyw62BEpBRRqDhu8QzvepXiGaeHaO3yozsGL7/6xj0fe9Ur3tAD8B4LDnBgZiWWlIxPCiqiw1jNZrYZoznILfdHvOcrC9h9qEYYSi44dZb/dZEiimzCyJyErELuiejLJcmstaAQ0Ck4lCKXBUXiXGb8u5gG6yp27Ld558cb/Og23xRQ9mjdRe3baN5pGwhbzuXa8zXz6XlNVgE+D00hrQoXPT/fXMWF3h9d91nrhFr0WPKe60L9YkEeTNURkTiY8yVlCczMTaFkEiSSCGX8IZFSFzSxsECZDaA6mvNP6/D3b5jmHR+v89AB15wCoVcjT095WGgEUWqFVa5WpdY71b1TnRyVbNIk/zzL5LSMFR+sBrz55Ye58OQuQRSz98gE7/1Kg2vvGKXiDHLgkMfCoZg1i33WrFkKWvNvH+zF8xyAP/1pL0BaVhB2LuXooQdZujBmqGax/6jmc1cNcs0dY4xULequZt++MndsU4wO2rh2jGObQAz0KiJF51QWgJ9tgCLAe8AdF+hKopo4il2Hbd71yToX/1eZQCTD6bMwfC/vlhjFJM/znmf8ttBzKAnzgJM+4BbF7sLN+VfxyTlpoKS5S3O4uLkupMym9wt54qSg74ls5oUQUhkIK5EHfwxHTwGfe7EpZYmUxrcjXnphi1jBOz5WZ/fhRFmhD9w9lMVsptSpJKntVAldSNN/razjfaG1H+YM6tqaRhmGhxyWDy4kDgOqfpezj5/h1c9osWNfwPh0gx/+VLNw0OaUk1bx4gueF8RxLz2ZF+DLlgxjO+W3nHHq2Maj++8/b7h2BC2mefcXanzvJwtZM2yxsKoYrsHCYY+9h1xsK2SgFiRNGvtC65ZijiSY3S5adZ2AOE2HjRPFpRCGt2N2H3H424/W+eYPygQymfwq5rsUI5aF5vWJ8enXvHOdu+BsFpDbr3/3gLrfbP8Cqx/XPRHNfoueyrJpV9XEgvcWRpDz7x4eXgS5zBI9BGmbBysrKI4icOyYlz+rjW3B2z7aYPdhl6QPc+8mVNoI2km0WCEIMCqIIwSOTCqSUiUl/W7KWG+dgN2SGs+GgQqMDbjs3FsiDExTqmbb43lnHkWLQ7znKzY/fchnQ+SypbL0muGRsbccnWj9fIA7boXvXPH9GXC33XF/eM4zTzlk/cslZb57wygL6w6L64rBGgzXbRY0HFyHrOsSgpxPZ3xbFQCcW/acwsSZYykyOqIScKs8UmnF7J+wePvH6nzzv8oEVh+458iC5pToyN4qnfmsdwrmYiYf0EdF+vTveY2zzoM/jwXnc8A7VxfPHxQoirkn5GoKiaZcBHtBSREFqy7SSCdGJ8+CQspoHsZAa6JIY6O46MI2USx460cbHJgofL8+h9OstBO5zChLrIyxUWhsZQZTqcwvEEilsxLR1J8JQ8WRSRtLukSx6XisNfzOU8aJ1V7+5eIFnLdZxSest7b97LbLZ047/fk/H+BgyoPa7ek3SFne8pFvlU/59vWjjA04jDUUwzXBQM1ioObQqEoqvgnfZ8NVZT492OSOFBKoRJ5Ild3uAbcqcPHccluWInIEn76sysVXJuCWRc5dvC6AW8yNWPbz7l5erTMQz9ceoqh/z8ev85F34rHiuzeaOSeoo3vUk/y5PBZh6E1xWrLZBD1KSkEXN9Qk0Z6ThKxUJ4+TDxamtS0iBpuYlz6rxbadNu//XI0oxfExQZ5+N0mkzWggcynkAQkDdJ0YBksZ9SRSmiDStLoxU7MRlmWjtE0U+1mH3d89+xBSHkaI4Ts77ak3VKuNef//eQH+ouc+h3/7whfi+sBxevehgyyouSwb1AzVJIM1i0bNZqBm0agpqpWIsh/huxGeE+G6pmtrmq/dk0mIzix3HvCZx7kUaZTSBHewBVfd4PO1q8p0pZWY2iKgC9abnJrkc3UKgKYIdJ0pDT3zdkQfyJPj0ke7ewCdvmBOmuyjAXfhhX2JhXMLIQo5Khn3zl6XgFsZq2gAnabUCnor84ugTwf9mk1uaLWVbHgrUUY0nlC87Jktbr3P5sobywnHLkRnCvp4GgxKCzJTB1RpM6EhQGSGJ9SCOMsk1NghOF0z29SSkfkuyiKOnWzanCUjVi2apTZ8vBaiE5986isfPcABnnX++cw0O1/77o8eWr9udKqyaFBSr9rUKxaNqqRRVTSqEY1KSK0cUC0HlLwA1wmyUX3G4cx/wDkAz6x7nGjjhSCOiJG2Qtjwnet93vLRBvc+5CUFw/MAu+hYijRa2e9Y9gZyettB9PYdzDHbOwqvn7f0hO77QP1zwd2Hh7n0ROQaOEXHsk8TTxObdK+lL173AhrI1BOBSqiKzni5AZpSVhZCF1qjYzhhdcgH/2aaN1tw+fVlY8Wt2PzVSema4eJWwpeswtEw/1eylwgxZ8eOgrYAX0GoZHKWMmKFJk50cU0UmdmgnUASRoOsWjnaXLT2vK8Jq3zMY2wd64l//tCHOO+C59y2fsWC16r2/sbIkEO9ajFYFwzWFUP1iMFaQKPapV7tUCl3qFdaDNU7eE4XIaKsCkcWQN0bwdQZ57ZEnKklVhKWFw5cel2Jt32szj07fQPulJrIQq5JxsElQhrL7Yp8KnE6PMouBnmKOnRfNU1vhU2/bl0YNZ7mNvdc9843Kj6W6+KFjSb7N16xkofC5xTPMnlXqDlnnkLBSVENgvw1Rac5e76ghxcT5/rPYCgYHY45eX3EnoOSbQ/ZeYTs2Ft5nvsKtELrGKViwiCm3RZ0tCQibUuiTdeA5BLHmjASzDQFR6ckC5ecdaA5O/OHa9dtDo/1P9uP9Gedc8bxdDuT1MUNPLg7plK2aZQjGtWQejWgXunQqHaolVtUy032jcdcs1Vy4tqQ45Yr2h2HIHSSjqgyOUhJBpvQiMyhjA0HL4AbGy69vsT//lidu3d4veDuyzExVsKAysmoydzmPXnQRPdx7EfQros/7hxQ5E/O+X0fAw/Xfb9/Zq0Lz+d5KcaqZ5HCHmuea+JmEnG/NU+zDNUcbk6SfUiSp6IK3NxwlDxLhgBOWBXy3jdOozV8N7Pkj/ILp19KRaAC6ERsWNHlhLURN9xbYf/hMjO+y2TXYiTQdCNFEMZmqkOoKfuw+4jDhZV1NAYbj/jfPCLAR0bGunv2HH19wOjXg+BgZdnCkAUDXRrVDkP1FuVSk5l2m60PKb7ywxIPH/K4436XFUu7vOpZU/z+eW2qHnRDJ8u8LNIUKwG3LEQrhTSc+/IbfN720Tr3POTOD276HEvZn2uSFjAUck7o5dVzKEmPwziPBSyCnd7Ch3QH9N79+RBPW3LPoSfkwE0j2pkeTpF+FDm6KASQRAH0ORcXogD2VDZM1ZVE2M6+gzSWEwlCW8mMpuTZQHPiqpD3/+U0SsP3bijluvixv21+FHUMccBQqcnvP2eKP3hmwMqlmtvum2HvIcmXr66x43CNndMVjnZsFlUVnVARKWhUJWedPtZ0Hf360ZGF3V8Y4ONHD6vG0JpbNm+xpz39ucroYJPhgVkGazPsO9rla9dafP3qIQ63KhyZ9pHCAi04/IDivj1Vlo3s5jmbFYRJQELk1ttIh6qHlghLoS3B93/i8+YP17n3IRe8vnrKnrrKHNxS5AGdohw4N8+7v4A3dzb7MwazficZ2EWPlU+hnAG+n4ynSO97rKj89T4hMnPdn0rb63T2Do3NNoMqfERSxynIgd6jkac9DhMunpbRiESBIXE+swBQYiCUyv8qEURsWhnyj381jdaCq270iZkP5OkBy9LWzCXWPGVTi3f9SYBnVwlChzM2aKyNIReePst0e5IvX13mipsG2Hm4xtGORbNrNJdXv/qC6Q3rVtwyNTOheIT1iABfuHAxQsojVtS56IzNq340e/RK55ZtcOmNDvfsGWHvwSrgUvUEKxsaN6nwaYeSQ80Ss22PKIqIYjsBQtpAMdXBkyKGxHJrS3D1rR5v+mCd+3e7JnmqSEN6nEuRPSeg0NukWKUzT9lZ0XozvyXvBfncx7Kfre91xccf69J9l+zxwoNzApwULLUobgDdG/wRBfkwyQpNC5N7y+DooSuqkKMrEkuegjzNJSeIOX5FyIf+xxR/EcGPbi2CPAG1UCa7qphMoyVYCtfziGOLPePDdLsWlmWKanwvYNFAlzdf1OYV5x3k3oePcMkNda67vcKWM88J9x6JLzrppMaRhqw84nF9RIBLy0KF9zIwumxvN5rY8emvbt3w+cstOpGPb0sWVhU1T1N2VNJeWZgSSAEn+xYD/iCTM4HJBLNjLGn8aASZNCiEyiz3VTd7/M0/Ndi2yzUeokz5dVE5sQsUxSSJ9FAT+qtzitHL+az3sSjL3LZr8wK6CPz+HZC/5OeCe77wvaEnhTbGul8Pn9v1yggZOTdPJUPTS1MbUFNUVhLlxIQVE7qSKCpJsUPOySmAPEmC1SC1Yv3ykH/5X1P89QfhBzelIE96IqdnbzAGSVjYFji2ZHJ6iB/dKvCcGkKYpq+eo/DcGN8LKfsho40Oy0a6nLuxzWW3lBhbs2bH4mWr9/749l2cc+rKXxzg5ke1+OdP375reLD2upGhs6992oYb2HFA4QpNvQwlF3xX4jppG1tBpWSzasyl7GomZpqU/Q5CBJlsaNQUw7ltN0ZJwQ9u9g2497hot99q98uCKfhzcFti/n7eoh/Q9D7W01OxD6PzOpt9lrwXvDonLNnzx4Z3T7Sy8LKethHFx8iD6qQBoGTUYPqazPEURUc0mWVJwYpbOnM6M2AneeNIk4QlZb5JjFWyMpBn2nniXImuYv2ykH9+0xR/9U9w9U0llBCmvqzYehaBLaFhawY9TdT0ueanLisWO1RK4Hsa39F4rsL3XMpeTLPlYdsBd+1QbNn0VDasU68Lu9fs2mmd9vPg+ygAbq9HR02wyvv37epe12neeu6hoxHDVZdaRVByJa4rcZMezb4rqFegVokJQ4tuYOM4Fk7WqjeRCa0Yx4vYfVRy49YS7/5UjW27k1pKmVrtAqiz+6nDWYxWmi/SX51zTJpCmvOt5wF87ybIUFyIZmZNNYt0pbA5MmNF7/OPtIpZhukH9UQtRQ78Igc3DmqBpmjdx8XJnExzVtB5CD+tXM8cTJOeqzNlRSRcXSbcWyFkrsZgHjJFC0Iiw5gNy0M+8qYp3vWvipu2+uw+6iUgzyUWR4BvaUq2SayaaYXsOwy1so3vpb3pLTzXpuQpmm2HWjVm/7TPULj+urOXPm3/5HSHsxqlXx7gBuQVrr3h+u3VysBHSpUzzh2u3cryhS4l31hu1xG4tikh8l1NpaSolU0Dnvx0XkifFTGuF/HAPov3f7bOZTeUOTxl5+AW8wC8+FgCMIsU2LrQ8qG37XExuSoF5aNRT+ZY+3nzTESPyjLHrPc/Ph+wi9Y7AWmK8+I1fff7lZKeqKcgyTjMnU+FRlj55lAJaReZ1ZfJ683Mn1RNUUm2YGbN06QXyJxJkRQZA4gubFgW8tE3T3LZjSU+8JkGD+wV4MdGOUkaFqU+RRhBs62RIqIbKDxX4jgC106xJRmfEowM+DzzqaexYEn1I9sfuGH7uvVPfTTQfXQAB1i8cC3lcu2Wp5weXzJanXrx9NE9ydwZsC2FY5vQquNoPDem7EV4bjqXslidE+GXQrbvl/zdJxt84wcVOso24nUPFZHk3LuYUCUTDp/o3T09BfuyBVNgF6z3sR7rTX/NgZo9PE8MPqcugp9roh/DmgPqOZHJ3o3QKycmNASTQJVb9vTxgvOpKSgtOS+XFDeBkRJ1D4WhB+SmeWaaJg06FCwcjHnVc5p4jubvPjHIg/sklEPQDpGShFoQxppuJJjtmCkjnUBhW8K00LMljmUCZHEcY21cQ23wxEtWrdx4S9CaedTH8lEDfN2aRRwd37/r9NPP+OtF5Rus3bviF07PxMkfYxKt0t/YsjSeE5vcFNs0wnTsCMcKKXkBD+4XvPtTdb5xdZWOtI3OTRHUci7A03BiD+82afbpsNY82qjnWOTsWvYBt/h8AuSeHJR+Cz8PV6fvcx412vV8LxVQyP3Wj2DV8+cL1joN8BQpSEFrT0eiiIJ0qEQuw5ggUWrRVaaXI2VuyRNRJHU8jYSYRB+FRmiFbktcJ+al57dBCd79KdhxQIBnE0ubVmxRigROaJzgWGla3fwImOFh5phq6VCf9C477vjNf71z977dq1YsefwBDjA0vJgj+67dPbz4rLvi8OgLS4d34roelVIHQUQY2XQCL+k6pPDcEM8NcZwQ1wkol7vsPKJ51782uPjqGl3pmGIFrAJXKGilBZ07PR+m1KS/Wb3Vo38XHUw9T2dYnVGLtI/NfPJgEdxzaEkRkv1k+zFa8yxxqnA7C+4k18UOWBSoSfH5IkXpiYZmigoIqzcARKaJp69JjrUsKCrSUBedWHKFkRjRpie3RKGQpB2oRNKyOVYKx4l46QVtBJp3fBx2HpZoadGSJbxYYIdmVKBKOhrPhCY3xdYw4IFSHY7fuIRnn3/mXd++8qbdL372Ux7TsX1MAAcQzioGFyx9//0PbFsd0XyZVLu54d6AL19VZss6xcvONwfKcSK8BNi+28G22vzkbvjEJYN8/Yd1Ass18ymL4O79n8iSLZAZ+ixR1LqZy7d7bveVopGDeE7ed/F2AeQ9FrnPevc7mkWMP9aVAbvHYqcoL4BbFMP2CfVIFZMC9UDrfH48ZA0vs+IdLbCyYFHhDNBHV8x/nBdMICWSpJmQAiENuNNx22m+VepzxcrGsSIuOj9Eqwk+/q2Yn20XdEPJrPBwhcSRCltqIiX5o+eOc9qGaf79qjJ3ba+zbukIzz5nzdcufOpp79+1Z+9jPq6PGeDDI8u4+urLpkYGN7zmO7fcteS626vn3LfTZ7hkMzNjs+egZuFQC8eKcd3QSIR2iy9eYfHOzwwx2SoT2j7YTu44Zr9sMdRR5BPmkKXRSiehJpbIWxqnYfkieGVaXFtMSELPAXbmE4pedeSYwZ8+J3I+QBc/91Ghuy/6V7TYhaTCXAMXfVy9APR+i57Rkz5OblpPkM+bSvi4ySg0eqCQqo+bgxYJfcFY9HQbZgEj8vlNQmiiyMGJIy46r8uzzxjnHZ+J+PL3oRVIZqSLbwuqQrN8WNOwhxn0yvyfV0xx396jjM9Urj9hw/Gvue7HV7YuPP/ZTzzAAS644IV8/bvXtVave/7dN952+Zlrh2adtUtd1ozZaG1K10w75hbSbvLF77u84zPDTLYr4PhIy0EIiUyQkvedU4mnnRb8pfBJrDe5apLx7mKuiZhroXtlwT51pAjePipSBHFutYu5Jr1sOx0+NRfpx8B0IfqYgVzMfU2RGs2lJL0h+xzA8+SpCJEVOPQUMifURcrEaoNpC2eZXZFGNlEkEqJK+L3INk4ua8pkTpBlpkskZwApFVEcY9s29VKX97x2BltovvA9aLUbzFo2Dc9shgf2OCg9wNqlLqMDVc4778WBEM3WgsWPHdy/MMDNH23Tntrzxhc9c9NTt91z1wlrl4aMDHYYrAdUSl1q5Rb7J9tcfpPPe780wmS3ivQ8HEviWwIvmZ6mgSAWzCrMpIH856VoIvNck7QJfZ88SB8lSa13EcQUuHc/yB/hel4uLnLQPxKexTGf6QMz/SAtPJ5Jf73PZZugkD2YbgQzaqQQ3dQJ4ZlHWSmG8s3HpX3GJVKZkuF0moROnFDzt4nMh8n/HkkU24SRTRxbiUaukhC8Qxg5lL0u73x1C9c+xGU3KvZMDVF1JJVZxc79AdMtm27odTduXHl9m003i0fO4HpiAP6S557F+ERTx2H7srtHDq792T13+q3xMqvGAhYMTHPXrjbv/fcBrrlnkJgypZKNL027bt9SplojOTV2IoEKJaHW6Dgmcc0LKEqstyCfECF6+3r3FxMXaUlPZ6rC7SLu+ulJjut5Qvb9B2NeJ/PRM3ENSarqPG8rOpo9wE6BXHxb7lhq3ffeflAr8q6vmZOpMxkxieskDFJA1q02pyHpkkKDUCa2qk23s07gEoQ2WpvpE7aMcewI23YIQwffdXnnH7d51lMO8O4vKe7eMYxvWZywtk2sptk3vXH84E87L37R79Vnf1GMwi8BcIDhwYqa3f/v7x4aboR7jq7427I95VbLU9y5u8s7vzDMzXcP4fsuZRc8qXGlxrXAtTSObcaFCKAVCCa7IFQb4q4pYHbsws+WOJfQU185X2VOj0xI0YIXdO8+WjIfp+6NYiY3+x1QMecl5v688t/PWfMAO6UWPY5mCu6UbzMPTRHFx0Wh8r4gI2ZKSzHqaQRupTJVMKE0ppAtOxMUVB1TZG7KFZU2jTCFKDHb8ml3HBBJnMSKcR0b246wpEu761P2fc7Z1Ob/e/U47/i8YM++IYZrFqefvCzYObn001PtWvDL4POXBjjAV66oBe1wxfvOPEEGHrf//ae/r+V1dy1i264aS4cEVUdhpQWuGNx6tsZ3wHNMclasJUML2rz4vIeZnI74+DdrHJismFTZhGrY5BOIUyWlXzEpDp6dN/8kBeU8Tua8nPyYFn8e4iHmAv1RgbywGQopKL0vKVrveShKZpnTHAEtUFol1lZnuU5z6UkhAkrKxUWPU6uSIVRpQMfUdyb5K2gEMZ4XMD6l+JdvVjk05fO7Z9kEQRWlJK6dJE65MbGKsONkwoQWTM+W8b0KG8Y6/P0fdvnB1iPc//AStb677u//7HdWfHD77sng735JfD6WGox512WXfJWPfuD50aYNA0cfPlp6/Ve+MyE9UaXqwICvGKmBawmi2FgFz4GKC5WSoF6WDNUtVixyeMbmmBc9tck5J7ZoVANuvc+j1XHBdrClxLc0nsy7UxU7w84nC85pizbfdfF5mQd48nIxUaA6IisPk4XbQqavMbPee0vVcuez9z6P6jI3XaC/zZno0fElvVRrzvuYZ/P2bfwehpXJkiLbVVnbOKGRVkzJDZmcjfh/v1Tjk5cu5t7dw3RmS6i4lDRkTVIrEnopBChlMTVbYnLGI4ptZloe7XadlaOwcu0W1bVX/s09u1v7nvfsF/yy8PzlLTiA9FYyNFZ9YHj3gje86Y/Ln7j7nh/L67dqyo7H0hEbxw25eVvM1LRFxdP4rqDiS1PjWXNYtEAw0nAYnxhg6aKIc0+bYdl3Aw5PCvBFXoaWTEOzCr0D0x9nTs73fA7nPFY5AwA5UCjcno+X9987FifvySzsdwwLVnvOKujd6d1+K17k1iIRuLXo5eWZ0iIKxRH94f6CjGjuioya5LnfySkAIDYAt6REa4lla/YeEfz4pzW6qsZYTTI+qdlXjlDKNaNSML+Z58RUSwHjs4pb7yvjWi7LF9l4/hTXb5WcetIz1Oknr39DtzT2AO2JxwOav4R7WlirV29m/143OPspZ37mKSdN/M9SxUPFgvXLPI5fbfH7F86wZtUss4HJXfFcQdmXVEs2tYqkVjYFEJESRLGF0OZ1CIkthLHeluHvttU7VyebdV8ELn2WqGid5gF6P8eez0fs1ct7rx8ZrY9u6SKai4/3PZZx7cLDPTWbzNWjM6An4C2OP1N9z+cJWiKbmBwrM+I7SttlRxZRbBnwaiMHaiRSmg5WWiua7ZjpVsxMS9DqSNOCO5b4fsjdu5v85zUh9zwUct8uizi0WDJW4o5d3f953MYtn3E6YXDK8Sc+HtB8fCw4wNjS1UxP7ooXrnjZg1s23zlj6R/VRuvTrBzrIu1J9k/UTMahbbh3yZdUSpJqSVP2YzwnNvksQhEqiLQDloNvCcqWwrd11rhepiMBCms+ft0DavoAXHxNv8NZsOpzcqxEwSoXP6v3n8e2+pzSfhUkjS4mjUNyRKeWN7Xm/feLVlvoeTm4SKKdQujCmUVkUdL8i2uESsaUJBvJ6NsOghBbxmitiWJJEEK7o2m24ySFWlLyLIJIEkUWS4YDItHizockR6dDQjXK85934cyKNSc9uGffvnjTxlWPFywfHwueLsuuMtuUl51+2lPe+Acv3XL0xA0xsT7Ce77q8bP76gyUDD3xXYnvWpR8QdlXlLwY343w3RCtIm66w+WB/RVc36Jqa8q2xreMc+o5qQKT9/juUTD6wJfN7OwHcLYRxNzNUfww8k0xbwSzn770vebRrH5LnL65aJWL93X/bZ3y5F4tnTT0DoXnUuteeF3hbyiyIKVNy7UoloShRRjaBIFNN7QJQ4cgtJltuaxcZLHl5Ba2HdCMBO1Q0A407Y4yl66m3RW0uxbTTY/N623e+geHCWST8bbP8vVnHd143OY3tmeDy+q1Y/c4+UXW42bBASrVYXNw4vEvVZadb0+3eP+/fPvKkdvu1SyqSqq+ouRKSr6k7EsqvqZSiqn4EWU/pFruMNEMuPjaQZqdCsMNqDuKsqvx0iayiZWKVXLR9JzV51Po5rPg88mEc6x79gG9n1V8fA7N6T8ojwT0Y8mJ8yRbzbnOysDSBwoARmcyoEjrMzNSn1vy1NQfU9VMVJNISVQsM0tvxRYqjkwQR2pGBgMuOrfDFTc1OTTrM+QLKl1FuatodyJaHUnLF7Q7Fs22w/hkg9NXtXjrH1lE3vmHn3v+eW+d7YRfWrVy8eMJR+BxBnj2m1rD3PPQxOes0tPlxrUz/9CcvHHk/l0a3xH4njldlUvCgLsUUymFVEodEG0uv8nhR3cNUavaDLiKqqcpO6byIwV4rKAbJvOByJqhGr08uZGC7tgyYK5IUHgcUaAhhff1W+qeCWv0gfxRWu8isEQ/iOl1LvU8780sc9FJTB3MhNYohBnFJ3U2JyrLB0f3WO5ivCAP74uko5RpfimE8YNix3BvITST0xXOOj7gOWdO8IWrK0x0fSquoNzR+K6i1IlpdWzaXUEnsAlCmzu2D7HphM2Ht5yz5W0w+zkhFj0RUPzlZcJjrY99+P386Suf9rNlo97h/ZPtp4lovCS0pF6xGWrYDNU1gzXTHWug1mZkcJrbtnV552dG6agGIyUY9DU1X1PxoeQJU87kmNnvKgntB7E5jepkfkpRQZnTqarndm9Ltt6L6O0YJYudpUQuDxaez/PIU44uCpuo//Y8/6/s8wnoe55H2KwUy+l6N2gOXtG3iVO5j3yiRTJ5Ix3uK4AolrS7Ns22Tbtj0w3TmUzFYy6wLDh1wyy3bxfseLiK50hcSyUFMQLXtiiVJJ4Ts288otpYePTwzPo333HXgc+dfOKpTxQMnxgLnq5Tzngeb/nAxV90/OXB8Rs7n7zlpwdr5VKJRhUGqjGNakit0qVeaTLdbvHJy2s8PD7A6AAM+ioDd9kTeElhsyUFYahpBYqpthlGBEZCtGVf/0fmA2/Bgey75G+a58skJnqONZ/HXD+q4VN9S8/HE3qseo+WN69Tmv63RckP0V+RX+DnmU6Ygl0nYXXT1x1tilmmZlyOTDkEocSSZpx7yUvaGZOObVEsXBDy+udNsm1XhcPtBr4tsW2FY5vil0bNgcEAvzE6c8rxi/+yWjr41bENr30iIfjEAhxg4dCUsj37a+2ppdEpm2pf8PR+f2yBYsFAl1qlS63SptGY5h++7PKDn44yULNZUFI0SppqWVDxjWbuexYlz0qq9jWNwRbbxrscni1R8SRlG3w0Upg853QVLV2xn+Bca9ZrLXveXwRbn/V8PNe8GNdF2lGgHwV6kb84qaihQGkS5QNEUmZm+tKYdu6FLJbEopv21xGuE1EpdTgyo9m6w+XweImyT6KIaLqhIIySKh6S91qKC06Z4PUvPMR7v+gz7vjY0vQUjFWIbSmOW7ems3y596faDb4x3goesWnP47GeMIqSrisvvZRXvuSVut0dvW/Tauue1Uv171S8nXa53KFSUgzWmtz6QJcPfnOUoFtjcVUzWNbUyybSWStb1CoOtYpNoyoZHoBlCyPOPWWSgeoRbrxH0ow8HEv0NNq0rN5mm+ZiaESx+eb8IfoC1ZE5ZZGyd9hUL53JB1D10BGOTVGKNKg/pYB+SpE8J/v+Vtm/WbMjnysx/eeo9P9I0xssYSZX25bpX+M6EbVKB8QMH/l2mW9f10DGxvRHCmIlUSrNvk9pivkyvitYPtLi7t2KHQereLYkkopmN2TVshWdhaNjrzrrtHXfevAhJ95y9h8/0fB74gEO8K1vfp1/fNcL9XlPe8V9k9N33X/NVvH8H90cOiesErjuBG/6xAAP7htmSQOGy4pGRVDLwG1Tq1g0KoKBmmK4ETEy0GHZaJOlI9NsfVDz0MEKtmPhSzMmM5UQbUlhiprhifN1c53jaPZx+X5wZny7GN7vC9XPvX5kDk7/30EfuCl+3typFNlmIf+c9J2pLJhSrJ4NIhPubSksS+PYMa4TUiu3uO0BxUcvWcCRiQplR2F6RKQjwdO6TUGar2mKlyULB2OOWznLd35SZsD3eM2zZ3n6WYta2h179SL/Rd+47o7b1UUvfemvAnqPrw7+SOvkM1/G1dd/Sl/0+pVfb9Q3/unTNq+esuw2X/ovh+37B1lcFSyozAV3vWIxUIXBesxgPWSwFlCvdrCtkOWLItYtj8xBVyIr9M7pSO5UWha9rZNlDop09ejChfN/f/7HfFTm566+z+tf831Wb2PNIn8WPX9fGkYvViul6lJ2USKJSIqkiTxJcUIeyUw/I53GsW2PZNdBUyM52RJMzmomZ2KmZkKmZyOmZhXTTcF0UzI1azM56zIxXWJ8qsHKUZ9XPeMIsegyGx43tXLJhj9983Odr0/Z39Rv/POX/6pg96ux4On64he/w4c+8Hxe95rpu05a2dj34JEFT/vExXa5OxuzfFgwVJXUKpJqAu5G1UocUsVANWSgFjJQ7dKotlgwPMPN94d89D/rTLaqeJ5F2TJ6uWsnltxKr00rAuPRp1RFZBVF/WQ2AzJFxUUkDbXmWu+idc4/QxQkx2MnWxWtbzFxqshXipa5P5nMkr2KUXEZAKe9tkVPZDJv7J+M77N0QlEUthVR8gMWDXfYeq/DvXsqWI6VTPHWiYOqskBSWlqY5oLHyqbsxZx5gs+CsdPGd0ys+ZvvbfW+PFyPecnv/tGvEnJPvJPZv/7k1a/gT14N23ZPfXH5ett+1e/9+H1XXnH1SN1rMli3CQKo+Ba1iqRR0wxUY+qVtB95l3qlzYKBGYRscs8eh8m2B5bMe6IUWkek1MROwG5bIu34RvpboQQxOsvJEJAk+es+wOoekM4Bt/lEem4lDmL/czBXXy+yih7rjBk6RfJ5Kqlcz96UNcLXWU6O1ql0agaqapX/n0rm+1kKQSxNCzadDBJLN0IUWdRKgo3Lm1x3xyyHpusGwAozjFWBUpEJIgmwpIUUkolpydSsxvOXcPyacw+/fvO5fwvRF4UY4dIP/arR9iQAPF3rlzeYnm5+9o9+9xyxdEj8w64Hfjhy30PjdMISI76kUSWZIhFSr3Rp1NoM15vUqzMcmOxy+dUOH/3PQSZaJaQvC4UQJo3WTrh4EdyZ9U6IWRybKpYou91LH6QohLBFYTpDai17wE0SdMnT9LRIxoUkUt2c1a/IiL7Nl32mkfsyfl3EtyDTrvN0VEM5QiWIIkEcmzdJabrKpiNC0snLliWwlSROayq1pBva1Mo2f/n7TZQ+wKU3ddl7tEGz69OJBKFSRLFCqQgpwHMkCwZi2t0pdh0a5axzLzg8uOist8URn7WdwScLZk8ewAHq9QrdTvszz7rwKdG2JXzolm1XD3pWh1oZFgxEjA52Gai1aVTbDFRnmOm2ufgqhytuWcAtd5Y5NO2A52AJkbeRkKbxUBHUjiWwbYFjC+zE2USYiV6xVkRdM9VLafN+rc2ApFQv7qUTopA7ntjmBI15gpSx1nnqai+4i9r7HGeTHNyqYHkRIuPYGUjJ6YltaWzbjIvRWqADw7Xb3SQCicaywLHM9zRdXhP/JNbEyrRsi5PwvAG5w7JRxdtf3eHpm49w1S1NLrtpgD3TNVqxTSfUhLEGIjzXZAueeUqdrnfexNiKM97c6sgv1Kr+kwmxJxfgAJ5fotvtfmls+eajG9cfXLNuifhAa/xmZ+XiWRYOtaiW2tTrTa68VfOpbw9zy44BWm2HMAJkmDXimGO1pWm7kgLbsQWOI3BsiWNLrKRqPAgjJpuKbmRkRtfWYGtT2ZLox4aLi+xiWTl/1wDKtEArJjVJdDJBoddRhLkRzJRPFwXsvNOAuW+lfEbopOo9/ywpjcTnOTGuY2aT+oHN0SmLiRlzGrKspHrKAVenG0wm0UtJZEkiO5H/knbKUmri2MZzSpyzyea0tQHPP/sgH/92kytvHma64nGoKZhoKZTucM7ZZ4eLx+K3rD5+84PScr4rrScX3PBrAHAAz/PUjh3bL3vVy17shrP3tqyw9fGbbrtOXH9PS5578izf/rbHxdcNMz7eYHFdMjgAXrnL8PARfrbdZ+dhB+EZHm5bGsdKepVbpod+Cm7PkbiOhedKSp6gUdWMjTZ54EjAzkNlRqtQ9Qx/t61CbCehNWnY2bbyFhFKQZzMsVFK5zRHmGLbtANGmu1X5Nq9KQUpfzYKh1aGNqV5NiqL05ihqVol8yWFoSaOrfDdmLIfMFRvsuOAYuuDI3Q7JepVie+Zzr/p6O+UEklpopO2JXFiY4UV4Doxuw9F3L7dZkF1gLJbpVHtsGX9FB943TRPPb7JN39c46xNksnZQbVq+VP16Nj6v1i7acPnH9x1KFi3dujJhhXwK1ZRHml9+MMf4T3vfHlcrw/cM7Kw/e/X3Fw7tHhIXHDN7W0++51BjsxUWL3AYvUIrFvicOHpFn/y3AnGZ7rcsq1Kw7NMM34XSq7Iaj5dR+A40oDbNRHRcknQqGhGBiNO2zDN6mXj3Pygw/iUT8nRPbzdWHyBY0kcJ7nYFrYlkZax0CrWRLGJ2ClVTD3Ny9VSvps2LLUK/oEBWK6IaAzIw8hcIpU0o88cOtOH1LHMGcdzNL4XU/ZChgeaHJ6a4R8v9vnZ/RUqjkoqoPIpb8Xm/iJxIlIp1bTci6hVWlx8ncP7v7KEdnMAQQmtHYQQLB3tcNLaDhOTLr6/nuefu+4dU3r9GzetW3Ldtp1Hu6edtOHJhlO2fi0seLoqAycBtL/05cu2VeyL3idK33UHB8be/tcvudv64c86iLDMoiGHZYtslo1GDFQEvmtA4SQVP56TXozFdhyBnVAS25a4tnlPpaSo+BG+qzlnU5eNS2b4/t4qQ2VJKY7zDMWEd1t28n7HfIadpC12Q0EQKIJIE0YJL07Am75fZ5w51Zp7gyx2UqmUOr8ihCAQdANFNzSnANsSKDsfSehYZEXDaZjcdSNq5Q4/uU9x3d0VBh2LVldR6pixIOlxMAEvQZZBi0w2nMZ3LNPPREM7kEzMuDx8UDFY0VjSwXPK7BuvcOt9C9i8aVPsVwff8+wtL3nf6Lbr41M2rXiyITRn/VoBPF1/+Acv5DP/8bX45Re95l2dzmH7W5df/T/v3LHVq1ptGlXJwiHN2MgsD+zrcuv9FSxp4VnGknmOCRf7ngGjZYkkiikyydBYPTOCXAiIYwvimCCOCWIr6ciUF0pYEhxL4toyKdgAz9HYthlQ2u7ETM3GQGKZ7SQQYyftF7TG6su3zRw8SdZ62nY0ttTokmByVjA+FRPHpqWw6wiUayGE+U6xIm+eKdKNEuM4IZatQFooDUGkk82Xqh4CFQsikQR/YrJm9lJa+K5FGJqpwpvXt1mzbJa9Ew0WTUTUKw62XWb96hU858KTu4uWP/+fVq8YfNftN3tsOedXq28/2vVrCXCA177yZWg9xda7xdvPO/s5ct2K9Wdd+6MrZafbPmuofsA+ND3LJ78zwO0PlKm4Gs8WlF0o+4JyyaLiW7iONEURsen1UTzFW1YyxlCmEw9iYq2ItV3o+UFi+Y2T6rmCkgdlX1PxY2rlmOGBJtpqc/XtA4zUFL4r8NKSLmFkSZWEt1MbXuTdqfV2XYXvakpexHCjy9V3ae7Z6TBSFVRLpkDEFBiYvyWKU46el5zJdDSjlZSiYSKVcWxy6NOTiEjOFEEI7a4gCJN2EBI816YWWnQCyelrJW/6vSaf+LbNvnGfTeuHonbs37h07bPU6jUrbhRW+PZde5usWFJ5zL/vr2r92gIcQIhGevNtl172HVatPbVW8aY/JZXz+1+5UsioZfPHz2xxzZ0BnvaolyX1skW5ZFOvWjQqoHTAngMx7Y5lLCtWHh2U5EETyPXlNEoo0gb/EtuReA6UPE2tFFOvhiwY6LB04VHuPhCyZ3IQ30705oTW2JI8iJJKKYVclHSjOXaaghpRqwQsGp6iG0ZsPzyCii2UUkn9JNhS4diC0BGGmxeKhvMvkeagpEpMmoNo/Iqyb+S9A4cVKtbUKxZKS7S2kMJlsNpl9xGLa25fxMohj1c/B+7ZvUKtWbfh4lVLa3+2d9++mbUbTnmy4fGo1q81wIvrd174Ajqz22e8iv+Xd929fPvCka0nPO/M6Re74lZ2HvCJ22XGRm2iWOO5gqE6rFjUZvv+aXYccGmUSpR8hVJWFrHMcjdEDvKsA5YUSCux4FYyZMvVlFxFuRRTq4QM1tp0wzY/vtOnG0MnBN+ByAY71sRWamF7Z1pSUE8sqQ3ILY3jKDwnwnEizj2xyQ+3DjDedPAdkwhlcqsVbigJY0EUmyCOKtRZ5mVp6RCqPKPQkmbUTKOiaNSn2XU4ZOfeMstGXTzPwbI0zYOSaslnOixxybWSF5y9kRc+3b9ky1mn39Vl+Ycj2jPnnbHqyYbDo16/MQAH8KtrAY4cHd/7jrf8xXErwpm7ePhh78VLh7fjoDljU5srb7bwHIuheszY6Aw/vLvDvXtKnL5aE0XJ5N6CpTYN8o3Vk1nASCfW24Dbtg0wfFdT8o1zWi0F1CptDk11uWbrIGCCJLHSCT9OEsCUzvtsU8wMNMUFMm3/LFUWjdQazju5y9A32+wdL1P3Ba6tcB2ddIpShKEgiiBOQa7yAA0qgiT9oOe7SoFtg+soNq5ocu++gOtu96mVYpaO2tQqbb5zgyAIYNnyUX73Wcexce2Jl6w8buPfHJ2c3bV69RNTVvZErt8ogKdraHgJOjq8i/rxb24G4kuveMkpf013+9PC9jVMNWHxkMey0TbN7gy3bCvhunZGRYpWLc2ck9JMD7OkiWCmklmqebu2MMqMq/HdmJIfUikF2Habq2+zmJj2qXgkG4WMGqik/XA2jSFZ/ZOXRaENhkLQDWyGaxYXbJ7m899vMN2xKTuCkqsJXEUQKsJIEsXScPEkQ1ApaSYyaIFWqqcxZ3/2Y6frcvr6GS75cYc9hx3WL48peTPglKmOnsEZZ66/thk4H164eN0dk81w1+rVS5/sn/0XWr+RAAcQ9gjAdq319hWruOvAznDxPQ+/4l/PecruteX4PmvfxASX/ESzY1+ZtUPgugbAPX320yigHWNZEkvIxPlMI6KJDu4IXMcoL74bU/Iiyn4Xy25z38MVoq5PrZpr2Wm+iEqCP2kAKOvrX6AnaSZhmiAVR5JO4DDieBy3tINUbaaDGo0QOoGmFGhCTxFG2ujkBapimvRYxJEgjhVx4kAj8lK7WEEnkEzOeqxbLPjzFx7k0msUB44u4Bnnnx2/95yl2+++r/znG084a7/SbLP6UxR/w9ZvLMDTlUQUt11z2+Ftwo+fffYZC5Y0apsv/sRXrqiPT++tLBuaZbjmMVS3M3ktTro2SaFx7YgjM3B41jV0RChTJJGoJyk9cbPhpDElL6RSanPvLs13bh2kWpVUHDPA1LEMzdGkrS00cQryVHpMk6MSBUUkkl0YSjqWjRc4TEyXeObpHb6wcpqfPVRhMBBUQiP7haGR/cJIJslUMsnzlgSRzWAVFja6HJ2sZtl+MsmkjCI4PCFoVByEtDl+WY2T/2xFszT4omnX1hetXju498SNctcvUlf667h+4wGervNOG0FrvQsW7tl9YGrTq1787KcsG+n82y0/uye6864DQzXvQO2B3RI3EjTbgjAWxrlzulx5q8ON91apunlI3kmStFxbGJUj0c49N8L3ugjZ4j+urjA1XWWsDhVPU/YEJdcAKkoyFWUosC2dtBbOrbdta1zHOI1SQhgbygHg2A6e6zM65POK82e4+6EBZoIKjVDTDTVBZCx4EEEQQZiAXGlBEFls2aB57uZZPn9Fg0jZOJbAdwSW0JS8kJ0HFUPDi2dsNh9tVI6zFy8Sr1uxeuVPFINTWqF+W8ANv8KKnl/FSsLQavlQe2LLCcuuWDRaX/+Nb/77mr/48997z9POWX/3mpVDty9bYnVmOjZhqPCcLtfeofnSlcO4TgnXUWidSHy2Ccu7rsBzjWPmOAo/iRY+8LDi8luGqHg2Dc/0b6mVBIM1i0ZV0o1guqVpBybCmerQqQ7v2lDyFI1qiOeETE5LxqdsppsOs22XZsej2S7z7C2adcunmO5qOpFIAA1BqAiCmCAp/o2VyRgMQk03LPOKCwPOPmma2a4JAKxYUiay/I5bGbp97cYT795yzkvf818/+PoaJQbWB6y+4u77gwlLCGVbvz3ght8iC15cwlsMJjep1Zl5AMtyPmBZ8gNnbllj1arlj9//kLW+7uw+JxIt67s31ZmdGuY15ze5/5Bi38NlrCSYYirIk6ilpXEshe+GWFabz15ZY3KyxlhDU/W1aQddsRgZclizpMMP7mxzx7YSY8K0q4vjvIOUbZkNU/FDRgZnuPUBxXV3uqxdbLRo27bxXIcZt8Si4TavedYMb//0ILNBiSEliGID5E5X0enqQqBGccv9im27hnjFM0IuOi/gq1eVWLd+RbzljBXX7531t3Xas2+YnpqJHdfnT//sI/rk41e1nuzf64lcv5UALy6/tg5yCTqamZ7+sxVr/UEZH3jvT2/rursm9sfPeeqi037v6e3Tv3rNPvbt7qK1xLFKlH3NwsGAkhfTCcyhqpQCfrodvnfrsAksecokeHmSasViwYBk3fIYr3aUrQ8tpBMYbT6KDQ/Pc7dNglQYt/j+zZK9+yMGy4KSb1MpWbQ7NrOux+RsjQtPO8pX109x384SAnBtyVQzphMoXFfQCCStdkyzFXNkZoC90xvZNxH+9CmbHrhtPFpl/c4FLwo2rBj+3zOt7kRjYODJ/kl+peu3HuD9q1avA0wA/w/AjTdcj1LiaYuGZ551xvTsRWuWdTbYdDm0fyeNWsyCwXEe2BPSag0xMqCRsss3rq8Td8ssLGmqnnEsHctUtVRKpmD3/FPb/NvlMbJlE0Yw21LUK+ZMUK/EuLYiiiWHJyXX3O6ydqGm1YnpBjZRJAhDm2Zb49oVBuoxLzmnzXt2domVzUA1ZjZqs/uQw+KRCrZbYvHyExgcsjl7kX3/4NiCi8vD3pXT8TnXvvXPz+WtvPHJPuxP2vpvB/D+ddbZ5wBce+Dg0WufdwHXaRWtmZycUN+6ZFytW1ddtXTpqr+9Z+8hRhcPMjCwgx/eHnHNrXVWDUSMDUMQWDiOZrKpWDKqce3EyQwFVRsawxaVSsTO/REDHYdKSTFQn+GhfRa1lk+t6uA6RnbpBJogiqmWA9pdRaQEB486DNWqbFnX4rR1E0TdNZx60hilSpPDnSXEzdb7yv7MQ6s3nCWHBoek51kPnngSV7j+k1cm9uu0/tsDPF2LFg4BXJHe13o74A4cOHDgxuXLdlAr18KV65b9j6Z31jP/6tUuY4OaqcM/5vrbYrxSxLZdmqEBj3Kpw5EJyWBNYuuQsWHFyce12D8Vc3DCoVHucnB6hu/eVGHLGpe1KwSWUNS8iEg5aDwWj7a4f5fCVRW2Hajx/OO2sHxxhze9Frbvrly1fLT7Ib/UdTYOb8CvLrlWRd3JFSsf/fz2/07r/wf4MZYQawEmgUsBus2HEXDfxrJauGSpVDUv4J6tt1O6t025rMHSlFwVRqXN70a3XiBKS8MzTy+zepHPhpUzPDQVEXYHWL02oqUmWbeuztgSn4VLWjzv6YKzjys7SxZ537nsivvf7fs4CtDaoh1VGB07gdqQYJOPXL3KOQj6ofWrx57sQ/QbsX67NKEneX32P38MiIVleaRx8uoj+vo7PZaPuixbOMsPbgvRcYPzT40IxBQ/uLXGimGf5Yu7/HCr5LwTS2LzSYNTWuuD/tD5T/ZX+a1Z/xf1GNoSdTDElAAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxNzo1ODoxNSswMDowMF+OATgAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTc6NTg6MTUrMDA6MDAu07mEAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 5}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 4912609
    {'hecke_orbit_code': 68803363216, 'n': 1, 'trace_an': 1}
  • id: 4912610
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  • id: 4912611
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  • id: 4912612
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  • id: 4912613
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  • id: 4912614
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  • id: 4912615
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  • id: 4912616
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  • id: 4912617
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  • id: 4912618
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  • id: 4912619
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  • id: 4912620
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  • id: 4912621
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  • id: 4912622
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  • id: 4912623
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  • id: 4912624
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  • id: 4912625
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  • id: 4912626
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  • id: 4912627
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  • id: 4912628
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  • id: 4912629
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  • id: 4912630
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  • id: 4912631
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  • id: 4912632
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  • id: 4912633
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  • id: 4912634
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  • id: 4912635
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  • id: 4912636
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  • id: 4912637
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  • id: 4912638
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  • id: 4912639
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  • id: 4912640
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  • id: 4912641
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  • id: 4912642
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  • id: 4912643
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  • id: 4912645
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  • id: 4912646
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  • id: 4912647
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  • id: 4912648
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  • id: 4912649
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  • id: 4912650
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  • id: 4912651
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  • id: 4912655
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  • id: 4912656
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  • id: 4912658
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  • id: 4912660
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  • id: 4912661
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  • id: 4912662
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  • id: 4912664
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  • id: 4912671
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  • id: 4912688
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  • id: 4912690
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  • id: 4912691
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  • id: 4912705
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