Embedded newform data - 9522.2.a.ce.1.8

Formats: - HTML - YAML - JSON - 2026-01-14T17:23:24.212117

• 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': 38088, 'analytic_conductor': 76.03355280466319, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [23, 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': [9522, 1, [2117, 1063], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 8, 'field_disc': 819879542784, 'field_disc_factorization': [[2, 16], [3, 6], [131, 2]], 'field_poly': [-146, 532, -298, -440, 151, 80, -22, -4, 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': 1, 'hecke_cutters': [[5, [144, 0, -1584, 0, 417, 0, -36, 0, 1]], [7, [7744, 0, -3968, 0, 660, 0, -44, 0, 1]], [11, [-6, 0, 1]], [29, [-264, 252, -63, 0, 1]]], 'hecke_orbit': 57, 'hecke_orbit_code': 252201579166311730, 'hecke_ring_generator_nbound': 17, '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, 23, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '9522.2.a.ce', 'level': 9522, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 23], 'level_radical': 138, 'minimal_twist': '1058.2.a.n', 'nf_label': '8.8.819879542784.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+q^{4}+(\\beta _{2}+\\beta _{4})q^{5}+(-\\beta _{2}+\\beta _{3}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9522.2.a', 'trace_display': [-8, 0, 0, 0], 'trace_hash': 2037517607164981809, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.742', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.309', 'prec': 17}, {'__RealLiteral__': 0, 'data': '253.820', 'prec': 24}, {'__RealLiteral__': 0, 'data': '143.317', 'prec': 24}, {'__RealLiteral__': 0, 'data': '14765.398', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.522', 'prec': 17}, 'traces': [8, -8, 0, 8, 0, 0, 0, -8, 0, 0, 0, 0, 12, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 32, -12, 0, 0, 0, 0, 0, -8, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 12, 0, 32, -32, 0, 12, 0, 0, 12, 0, 0, 0, -24, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -12, 12, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, -12, 84, 0, 0, -32, 0, 32, -60, 0, 0, -12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 24, 72, 0, -40, 0, 0, 0, 0, 0, 0, -8, 0, 0, 48, 0, 8, 0, 0, 0, 0, 0, 20, 12, 0, -12, 0, 0, 0, -12, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -284, 0, 0, 0, 0, 0, 0, 0, 0, 136, -384, 0, 0, -160, 0, 456, 276, 0, 0, -60, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 336, 0, 84, -156, 0, -264, 0, 0, -192, 0, 0, -52, -72, 0, 0, -372, 0, 32, 0, 0, 0, 0, 0, -124], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
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-0.17672261177102797, -0.26445522926846093, -0.34685169796808757, -0.40856588294551816, -0.2535184586428979, -0.14576979356196756, -0.31076632649364483, -0.31321110376430394, -0.2694107264687523, -0.3960640757652932, -0.15791447881045798, -0.22891619201648783, -0.2593197736427394, -0.25694910186849085, -0.18335354190218803, -0.1857855992099165, -0.22772900989099173, -0.14165653303256326, -0.29937749094770544, -0.2711952819577196, -0.3308872291242058, -0.34175523937386254, -0.3271836587247263, -0.3970825721592299, -0.27530409527304767, -0.24481109802604006, -0.3677705637830948, -0.10252978740830984, -0.23653174145070077, -0.2770031026447747, -0.22412511497705584, -0.2735662302728298, -0.30336451678936477, -0.3301343999463037], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 8, 'dual_embedding_m': 8, 'embedding_index': 8, 'embedding_m': 8, 'embedding_root_imag': 0.0, 'embedding_root_real': 4.307471334824813, 'hecke_orbit': 57, 'hecke_orbit_code': 252201579166311730, 'label': '9522.2.a.ce.1.8', 'level': 9522, 'weight': 2}
• 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

  
  {'ALdims': [24, 18, 33, 30, 24, 18, 27, 36], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [23, 24, 24, 24, 24, 24, 24, 24], 'ALdims_old': [163, 186, 165, 162, 174, 174, 171, 156], 'Nk2': 38088, 'analytic_conductor': 76.03355280466319, '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': [9522, 1, [2117, 1063], [1, 1]], 'conrey_index': 1, 'cusp_dim': 1561, 'dim': 210, 'eis_dim': 191, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 29], 'hecke_orbit_code': 33563954, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 8, 8, 8, 10, 10, 10, 10], 'label': '9522.2.a', 'level': 9522, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 23], 'level_radical': 138, 'mf_dim': 1752, 'mf_new_dim': 210, 'num_forms': 62, 'plus_dim': 99, 'prim_orbit_index': 1, 'relative_dim': 210, 'sturm_bound': 3312, 'trace_bound': 29, 'trace_display': [0, 0, 2, -4], 'traces': [210, 0, 0, 210, 2, 0, -4, 0, 0, -2, -10, 0, 4, 4, 0, 210, -8, 0, -2, 2, 0, 6, 0, 0, 202, 0, 0, -4, -4, 0, -20, 0, 0, 12, -36, 0, -2, -10, 0, -2, 12, 0, -6, -10, 0, 0, 4, 0, 206, -8, 0, 4, 18, 0, 12, 4, 0, 20, 4, 0, -6, -12, 0, 210, 12, 0, 22, -8, 0, 8, -8, 0, 24, 34, 0, -2, 40, 0, 28, 2, 0, 24, 34, 0, 64, -6, 0, 6, 12, 0, 24, 0, 0, 8, 20, 0, -8, 16, 0, 202, -56, 0, 32, 0, 0, 6, 18, 0, 18, -28, 0, -4, -36, 0, 0, -4, 0, 24, 0, 0, 238, 22, 0, -20, 12, 0, -28, 0, 0, 36, -36, 0, 40, 22, 0, 12, 40, 0, 28, -36, 0, -16, -12, 0, -12, -8, 0, -2, -30, 0, -28, -10, 0, 0, -56, 0, -42, 36, 0, -2, 0, 0, 52, 12, 0, -22, 4, 0, 182, 36, 0, -6, -32, 0, -12, -10, 0, 0, -8, 0, -30, -56, 0, 0, -12, 0, -84, 4, 0, -60, 36, 0, 40, 12, 0, 206, 48, 0, -68, -8, 0, 8, 8, 0, -4, -24, 0, 4, -40, 0, 4, 18, 0, -54, 116, 0, -48, 30, 0, 12, 0, 0, -8, 4, 0, 0, -26, 0, -94, 0, 0, 20, -4, 0, 0, 4, 0, 40, -48, 0, 8, 0, 0, -6, 2, 0, -28, -12, 0, 12, -22, 0, 0, -20, 0, 210, 44, 0, 32, 12, 0, 4, 40, 0, 44, -52, 0, 22, -36, 0, -112, -8, 0, -4, 42, 0, 16, -68, 0, 8, -36, 0, 18, -8, 0, -28, -56, 0, 214, -20, 0, 24, -6, 0, -24, 34, 0, 38, 0, 0, 8, 0, 0, -2, -52, 0, -8, 40, 0, -48, -4, 0, -16, -46, 0, 28, 64, 0, 52, 2, 0, 0, 0, 0, 184, 4, 0, 24, 16, 0, 20, 34, 0, -4, 20, 0, 68, 24, 0, 64, -40, 0, 88, -6, 0, -28, 48, 0, -44, 92, 0, 6, 64, 0, -64, 12, 0, -4, 44, 0, 186, 6, 0, 24, 12, 0, 4, 0, 0, 80, 28, 0, 126, 44, 0, 8, -84, 0, 14, 20, 0, -28, 40, 0, 80, -48, 0, -8, 30, 0, 0, 16, 0, 12, 8, 0, -440, 36, 0, 202, -40, 0, -184, -56, 0, -40, -56, 0, -268, 20, 0, 32, 80, 0, -20, 0, 0, 56, -46, 0, -34, -52, 0, 6, -32, 0, -368, 18, 0, -12, -44, 0, 136, 64, 0, 18, 0, 0, -384, -28, 0, -104, 28, 0, -4, 72, 0, -4, -24, 0, 12, -36, 0, -42, 84, 0, 0, 6, 0, 0, 44, 0, -68, -4, 0, 16, -54, 0, -312, -8, 0, 24, 116, 0, -6, 0, 0, 16, -24, 0, -172, -68, 0, 238, 100, 0, -328, 22, 0, 94, 16, 0, 88, 68, 0, -20, -80, 0, 56, 12, 0, -78, -44, 0, 4, 0, 0, -28, -24, 0, -24, 0, 0, 40, -36, 0, -48, -4, 0, 36, 88, 0, 86, -36, 0, -120, -32, 0, 0, 276, 0, 40, 200, 0, 120, 22, 0, 216, -42, 0, -76, -64, 0, 12, 272, 0, -56, 40, 0, 82, -60, 0, -320, 212, 0, 28, -2, 0, 44, -36, 0, 32, -42, 0, 156, -6, 0, -16, 80, 0, -74, -12, 0, -8, 0, 0, -120, 276, 0, -12, -92, 0, 12, -8, 0, -50, -28, 0, -96, -120, 0, -2, 280, 0, 16, -30, 0, 0, -12, 0, -68, 0, 0, -28, -46, 0, -376, -10, 0, 180, -36, 0, -38, 40, 0, 0, -12, 0, -46, -56, 0, 12, 108, 0, 202, 68, 0, -42, 204, 0, -16, 36, 0, 20, 80, 0, -356, 52, 0, -2, 8, 0, -158, 0, 0, 68, 8, 0, -136, 272, 0, 52, -96, 0, 56, 12, 0, 64, 106, 0, -158, -36, 0, -22, 112, 0, 0, 4, 0, -132, -32, 0, 276, -24, 0, 182, -54, 0, -16, 36, 0, 16, 36, 0, -228, 8, 0, -6, 44, 0, -100, -32, 0, 32, -104, 0, -72, 168, 0, -12, 6, 0, -284, -10, 0, 56, -24, 0, 118, 40, 0, 0, 0, 0, -80, -8, 0, 28, -20, 0, 36, 160, 0, -30, 336, 0, 12, -56, 0, 28, 72, 0, 78, -20, 0, 0, 24, 0, -212, -12, 0, 40, -64, 0, 56, 42, 0, -84, 132, 0, -32, 4, 0, 388, 24, 0, 74, -50, 0, -60, 36, 0, -80, 36, 0, -56, -36, 0, 8, 96, 0, 40, -138, 0, -240, 12, 0, -54, -100, 0, 64, 0, 0, 206, 160, 0, 186, 48, 0, 48, 36, 0, 92, 48, 0, -68, 38, 0, -32, -8, 0, -36, 92, 0, 0, -4, 0, 8, -12, 0, -120, 8, 0, -44, -40, 0, -376, 204, 0, -4, 80, 0, 128, -24, 0, -80, 18, 0, 12, -64, 0, 4, -136, 0, 160, -40, 0, -6, -112, 0, 234, -70, 0, 4, -50, 0, 188, 18, 0, 124, 0, 0, 272, -8, 0, -54, -12, 0, -436, 116, 0, -28, 64, 0, 180, -36, 0, -48, -4, 0, 52, 30, 0, 0, -60, 0, -20, 44, 0, 12, 28, 0, -60, 0, 0, 140, -60, 0, 96, 300, 0, -8, -72, 0, -56, 4, 0, 160, 116, 0, -40, 60, 0, 0, -80, 0, 106, -26, 0, 68, 148, 0, 108, 100, 0, -94, -96, 0, 172, 0, 0, -124, 80, 0, 178, 48, 0, 20, 168, 0, 30, -4, 0, 106, 0, 0, 140, -148, 0, 0, 226, 0, 0, 4, 0, 128, 172, 0, -208, -22, 0, 40, 0, 0, -192, -48, 0, 184, 140, 0, 186, 28, 0, 8, 116, 0, 60, 0, 0, 200, -130, 0, -80, -68, 0, -6, 96, 0, -44, 2, 0, -16, 68, 0, -204, 0, 0, -28, 0, 0, 104, -12, 0, 32, 32, 0, -312, 72, 0, 12], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 49083330
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 252201579166311730, 'source_is_minimal': False, 'source_label': '9522.2.a.ce.1.8', 'source_level': 9522, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 252201579166311730, 'target_is_minimal': False, 'target_label': '9522.2.a.ce.1.8', 'target_level': 9522, 'twist_class_label': '1058.2.a.n.1.5', 'twist_class_level': 1058, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 49083331
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 252201579166311730, 'source_is_minimal': False, 'source_label': '9522.2.a.ce.1.8', 'source_level': 9522, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 58546795189371938, 'target_is_minimal': True, 'target_label': '1058.2.a.n.1.5', 'target_level': 1058, 'twist_class_label': '1058.2.a.n.1.5', 'twist_class_level': 1058, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 49083332
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 252201579166311730, 'source_is_minimal': False, 'source_label': '9522.2.a.ce.1.8', 'source_level': 9522, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 238690780284199184, 'target_is_minimal': False, 'target_label': '8464.2.a.cb.1.3', 'target_level': 8464, 'twist_class_label': '1058.2.a.n.1.5', 'twist_class_level': 1058, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 49083333
    {'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 252201579166311730, 'source_is_minimal': False, 'source_label': '9522.2.a.ce.1.8', 'source_level': 9522, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 252201579166311730, 'target_is_minimal': False, 'target_label': '9522.2.a.ce.1.1', 'target_level': 9522, 'twist_class_label': '1058.2.a.n.1.5', 'twist_class_level': 1058, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 2}
  • id: 49083334
    {'conductor': 69, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 252201579166311730, 'source_is_minimal': False, 'source_label': '9522.2.a.ce.1.8', 'source_level': 9522, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 58546795189371938, 'target_is_minimal': True, 'target_label': '1058.2.a.n.1.6', 'target_level': 1058, 'twist_class_label': '1058.2.a.n.1.5', 'twist_class_level': 1058, 'twisting_char_label': '69.68', 'twisting_conrey_index': 68, 'weight': 2}
  • id: 49083335
    {'conductor': 276, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 252201579166311730, 'source_is_minimal': False, 'source_label': '9522.2.a.ce.1.8', 'source_level': 9522, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 238690780284199184, 'target_is_minimal': False, 'target_label': '8464.2.a.cb.1.4', 'target_level': 8464, 'twist_class_label': '1058.2.a.n.1.5', 'twist_class_level': 1058, 'twisting_char_label': '276.275', 'twisting_conrey_index': 275, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 5051250
    {'charpoly_factorization': [[[1, 1], 8]], 'hecke_orbit_code': 252201579166311730, 'p': 2}
  • id: 5051251
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 252201579166311730, 'p': 3}
  • id: 5051252
    {'charpoly_factorization': [[[144, 0, -1584, 0, 417, 0, -36, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 5}
  • id: 5051253
    {'charpoly_factorization': [[[7744, 0, -3968, 0, 660, 0, -44, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 7}
  • id: 5051254
    {'charpoly_factorization': [[[-6, 0, 1], 4]], 'hecke_orbit_code': 252201579166311730, 'p': 11}
  • id: 5051255
    {'charpoly_factorization': [[[-48, 48, -3, -6, 1], 2]], 'hecke_orbit_code': 252201579166311730, 'p': 13}
  • id: 5051256
    {'charpoly_factorization': [[[125316, 0, -32940, 0, 2901, 0, -96, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 17}
  • id: 5051257
    {'charpoly_factorization': [[[21316, 0, -8372, 0, 1077, 0, -56, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 19}
  • id: 5051258
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 252201579166311730, 'p': 23}
  • id: 5051259
    {'charpoly_factorization': [[[-264, 252, -63, 0, 1], 2]], 'hecke_orbit_code': 252201579166311730, 'p': 29}
  • id: 5051260
    {'charpoly_factorization': [[[-12, 0, 1], 4]], 'hecke_orbit_code': 252201579166311730, 'p': 31}
  • id: 5051261
    {'charpoly_factorization': [[[7744, 0, -3968, 0, 660, 0, -44, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 37}
  • id: 5051262
    {'charpoly_factorization': [[[384, -144, -51, 6, 1], 2]], 'hecke_orbit_code': 252201579166311730, 'p': 41}
  • id: 5051263
    {'charpoly_factorization': [[[30976, 0, -25280, 0, 5553, 0, -164, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 43}
  • id: 5051264
    {'charpoly_factorization': [[[-552, 384, -54, -6, 1], 2]], 'hecke_orbit_code': 252201579166311730, 'p': 47}
  • id: 5051265
    {'charpoly_factorization': [[[82944, 0, -50112, 0, 4833, 0, -132, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 53}
  • id: 5051266
    {'charpoly_factorization': [[[6, 6, -33, 12, 1], 2]], 'hecke_orbit_code': 252201579166311730, 'p': 59}
  • id: 5051267
    {'charpoly_factorization': [[[183439936, 0, -8469872, 0, 112185, 0, -572, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 61}
  • id: 5051268
    {'charpoly_factorization': [[[38416, 0, -22736, 0, 3249, 0, -116, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 67}
  • id: 5051269
    {'charpoly_factorization': [[[15864, 744, -246, -6, 1], 2]], 'hecke_orbit_code': 252201579166311730, 'p': 71}
  • id: 5051270
    {'charpoly_factorization': [[[1293, -270, -162, -6, 1], 2]], 'hecke_orbit_code': 252201579166311730, 'p': 73}
  • id: 5051271
    {'charpoly_factorization': [[[22429696, 0, -2395136, 0, 59664, 0, -464, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 79}
  • id: 5051272
    {'charpoly_factorization': [[[69696, 0, -23184, 0, 2289, 0, -84, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 83}
  • id: 5051273
    {'charpoly_factorization': [[[527076, 0, -248292, 0, 27237, 0, -360, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, 'p': 89}
  • id: 5051274
    {'charpoly_factorization': [[[662596, 0, -395108, 0, 16317, 0, -224, 0, 1], 1]], 'hecke_orbit_code': 252201579166311730, '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': 57, 'label': '9522.2.a.ce', 'level': 9522, 'portrait': 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ghrmJ8yzE0mLHcCOgPBMPZY6Qs2TRqW2oaTFxQ1z2fTDGybD9k4O2TD7IhNsyO2bbTs2KS4artHXTU5dnKCbz7t8+hzMU+eiEhUlze+pM1bX2Spq1meOzHFsbOaMwsJ5xcjTl60HF60vPCai/ybd62wfXaSMxenWVipsdzWrHQl7V5Cb5DQG8Lh4xc5fHL1qocPXHzp4dMLu46dWfj8ba9+W/iNL3zk+YbEn+vxV5rBV9sdhqMIreR77n/86It++lc/Jr/39sMv+kfffU5fWNrIUnuC5U6NlY7HSkex0oXldsJKO2KpnXBuFY4sCubnV/n3P7jELZc3OHVhhrMLTc4uai4sWc4vxpy+mLDQjZmaGfLi63rcdiX4sk6gAi4s1zi3qDm/LOiPII4NNd/QrCVMT8YY4MT5mE4Pdm70aNZHWCtA+PQGhh2bRiytarBOiqz2YBSDxbLcDtm6waM7UAhlEWbERM1jx+Yhq33BibOaxGhmJyStmiDwII4F/ZHk/LLk3JLlwkpMEAzBi7n96h4vukYwP1FnaWWCUxcCzi7ChcWYC8sxZ5bhyJLl5qsX+fkfXGHT1AQnz89wfrHBxRWPxbZkuZ3Q7kas9hLaPctyD860BecX+/ynfzqM3/mq+jf82R81fvOqbwhhftYYj3qj9XxD5ZKPv7IM/ulPf4rrr7+en/mZn/rFj33qq//sAx/60mX7T6zuOnhmIF98bYe9WwyJ0bh7VAASiwSk+1pYtLAEEs4u13jgkOK6vctcuX1Iowaelviewvc1zbqk4Un6PY+Dx2t88VGfEwsjOnHEwVMjNs4u86YXr3DdZV1uvrLN8cWYxb6gEQw5etbS7jS5do9kdZiw/7ii1dA8cwIu32IZhgnDxEfriOkWHDgVoHSCJ2O0B4OR5JYr+wz6kusuS+gMEk6cbbF7k6LZCFkdWTZM9VnpdfjwV+DxYwlPHhuyc8sS1+/rMD0T8obbu3zvyyx7N7VIoimOnZnkyGmPU+cNpxciTi8kHFkQnFyNuOGKi/z7H+yycWqKU+dnOL/UYHHVY6kjWOkY2r2IdgbuLpzvSRbahpv2LfL333RRekLtOnXq7O7VTnJrc2JXvTUx9aXP3PVp/vAPP/h8Q2bdx19JBv/Yxz7OxMSMWlm58G9PnDz7rx56/Ig6eWHEhY7iZAf2bV/gV/7eAjfsbnB+aZrldiNlcs1yR7PSgZVO4qywbsxiG06tCHR9yB3XLPN9LwvZvaHJam+CheU6F5d9FtuC5baTCCtdQ2dg6Iws/WHM7ETEjo0GEASe5fSCh5ABOzcodm+xbNnQ58LKiCcOtbjpckujvsLTh2doNUPC0GN22jAYwlU7hnzwK1Ps2x4zGlnmJiVRMqBVC3jm+JC61+QFV8Q8eTTkwpLP1tmA3Zthx6YQpSJOL4LvWYSw7NwYM92SdAcBvb5Hp++x3FEsr8JS27DcTlhsJ5xvw9IwYcfWHt/38kXuuFJT8yY4tzjB4kqNxVXNUkew2jaspsy92nXMfaEnOb+acPO+C/zSjy6zZ3OLheUpLiw1WFydBH9PUmtu+MVrrtr28ydOLiSved2bn2/orHn8lQL4weeeo16r1U+fPr3jmWeefceFhQu/cOz4aTo9y3LXstSFc13JyXbCjXsW+I8/usj1exosrEyxtNpgpZvJFQfydtew2o1Z6TrP90JbcLZnQfR460vavOEWw57NNcKwwUq7xmrPp91VrPQE3b5gOLKEsSVJQElL4EE9sExNWDbMRGhvyJFzIU8dDjBxk9fdGqK9VR7ZP8muzfDZB2Necm3AQntATSviJGJmGuLIQ3sxS0sNXnxjh8/e32L3Znj40AiPBq+9xRCLAU8dSTh2uoaWPhunNdNNQT0Q+L5ACYgNhJFlGEK3b1ntGbp9w2rfsNSzDJKEndv6vOG2Nm99UQimxdLqJAvLdZbaniODNqx2E9q9mNVuwmrPstKH813FQifhpssv8Ms/dpGrdjS4sDzN4mqT5dUai6seF5ZhYmozGzZs/Nc7d+/7k61bt50cDoeDyy+/4vmGUv74KwPwkycOs2HjvP/cwcM/fPC5Q+979NEnRKfbl1Fs6Q0MnfTCrfQEF3qK092IF162wC//yBI3Xl5jcWWKxXaTlU5Au+uz0tWsdgXtrqXdS1jtxrR7hpWeZaErONc2TE/1efXNXW6/MmbnRsVE3aPTrRF4ElCEcRq4WugPAWGYbg05dMZibMjdDzcZ9etcttXnjuv6RGaVex+d4gWXexw636O9MsFt1/X50iMBG2cs+09YfuItHfYfD9g4I/nio4o7rlIs9zscPTXDC64IufepAfGowe1X++zdPmQQ9/jCIwoSwZHTmomGRgvoDyTGChJjiWJAGrRvaPcszVbE9s0jXnRVn1ffFDPbrHFheZKl1TorHXduVjqCdg/a3ZhOL2a1Z2j3Dct9yfmuYLGbcOu+BX7h3Re5bleNhZVpVtpNVrsBKx2f1Z5OSQCECszl+66zu3bt/fGdu/f87vLSYnjVlfueb0gBf0UAPhyFcjAYvOnuL3zussAz733k4Ye8MBbECQxDQ3+Y0B+ksmFgWe0LFvqK0+2E26+8wHvevchNe3xWuxNcXGnR7tVY7bqL0O4q2n3o9iydfkynl9AbGNp9y8We4GIPomTE9ZcP2DST0OtbXn/biF2bDHEi0dISRnDPEzVOLtTYPB3z9JEamAZXblPcuM8Q1Po8cqjPxcUm1+xqMjG1wv1Perzw8hpL/VVWVibYtMny4H7F33plj4f2a7Zt8FjstVlZnuHGq/rc/3TCTH2Kay7rsdBu8+CzU9R1k5v3Wa7YMQTZ44ljgg0zERcuRtz7hMcwUkgJibHs2hzy6ttCuj3FlmnDjZdDGDacfGsHrPY8On1Fuyfp9KDTT+j0Err9JCUPy/JAcqYjaA9C7rjiIv/3313mpstrnF+aYqXToN0L6PQ8On1Np6/oDwWDEQxHCYNRwk033RzNTNZ+6tWvff3hWq3+aSm1eb6x9bxnMgf9PlE4+sFnn3n8P588cXQmHC4TBAqpBKPIYiyYxGKMJTHCpeatRYgEKRQPHdrIz/62x1vuWOadr1xm99aQ80sTBH6deuDTCDyadU23LmkNPCabmv7Q2WAbR4bByNIdBixfrHH6lCWMDWfOxwSBBQS+smgp6A8UAo+4r7lhl2DvFsuOrX1GSZfPPaQ4cHia19wUcONVK3zgcxZfNNi1tc+T9yu2TinmJvrUVJ0w8ljoQrOm2bZR8PiBkBuvqPOyFyzye3cN8L0Wr7rV4gV9vvxgyGcfaPLssTp7tjTYtTlhfjpk91zEtbsSlDJoZQFLIwiYnwoII49u3+fpQx69oaY/UPSGkt4AekNLr+8+e3eQ0BtYOgNLewAX+4rzK5bGZJuffP1Fvvv2kOt2Nzm7OEG7W6fTC+j2PXoDRX8kGYaCUegkUpwIrBU88sij3vatG/7z1MyG5RtvvOmf9nv932s0G//nAnw47CMQf/fo/ofe8/Rj98wkow6Bp7BWIAUIBFgJ1mKxWJt5JhYpLEok+Ery9OE5HnuuwaGzC7zlRT1edPWQqdYEy+0GzU6NiYFPr6/pphd7MNT0R5rhyDIMDWFkiSJLnLgjjH2sAakEnhbUfMFUSzDdgk1zhm0b+8xNt/n8I/C1xzykmeQ1N3nccGWX+56NCIcT3HGDoD0YsLDU5PYrDHNTfeo6YBgrLnYilBHccIWm0Rrx6MEaL71xktuu7/LoQQV2kpuu9vmRNy7zpcdDvvhQk/0na+yYV2yaqTPdajDZgnoAnrYoCcbC/mOCJBFEsSCMYRThPuMoYTAyDEeG/tDQHxl6A+iM4GJPcrEHQzPkzhcs86YXtfmbr7JEUYvziy06/Rrdvk+nr+kNNL2hpD+UDEcwDC2j0BDFhji2JNZw8PAZzpz//MxqJ/x/XnXnS3Wv1//t5vMI8ucN4KPhMlImP3Lq6H3vOXno3g113cOb1cSxJYotWgmkFAghEEKBEClrg5Qui6iUxVMJNS1Z7Nf50Fe28eXHOrzk2lXedecq1+7uMTvVYGm1QXcQ0B94KbCVO0LBKJJEsSCO3VLvardcUKk11Hxo1A0zrYitG/rE9Dh0JuLD99Y4eqrJVFDnhVdrbr+uw4PPtbn7mxPcenmNHZv7fPArAiUCJloRq70RxoISMD/Rp9P1MXGdN71kgQ99tsHeCzXecGufMFri3qdmiZIat1y9gTe8sMPl29t8+dE+T55q8MQxn20zkpkJQSMQ+J67CaUAIdIVz7hzGCeWMLKMIncjD0MYhNAdClZGguUuCD3khitWederV3nx1QlzrXqqtev0Bj69gZcCW9EbSPojmcoSy3BkGEUJYeQA7ggCFleX+eOPfnFDu2/f88bXvtieX1j5nU0bpv/PALhd/gVWeruIV//khwa96L3tc4fm6l4fJoN0yZOEsSCMJUqBkg7oUioHbpF9z6CVwVMWXxtqWrAyVCy3p/nIPU0eeLrHHdev8q5XrfKCvW1mkzpxHNAf1ugNPAYjTRgpolgSJ5LECIwV+eoQ+IZGLSbwQ3xvxJmlEXc9LDl82ufY6WmUCdi72eeq3Yqbruyggos8daTF1qkG1+yBTfMrLHcmuHarJDaWzz8UMOpLppoxr71lyKfvjTh5vsW+yzzOrQ555qjH9o3TXL/7Ivc92eX+ZwSj0OfK3TNcuT3gym1djpxb5vAZeOhAg0NHmzS0INCSZmCpeSClW+GsdTdrnEAYQ5gIeiNBZyjoRBCaGGOH3Hx5h3e9usNLrk3YPBMwGE6y1K7R7Qf0hj79FNj9oWIwEvSHJXCHCaPQEEbuiCLnOIUJjELB2aVVfvuPv7LhG88uvNdrNOJ/877PfODAoZN8+Fd+7K8vwP/Fe94H07+HaX/33yQ5+mtR58JUXTeYnmjgezAcaUahZhRJRpFFS4mSAqWEe5bKvVYGpRI8LfA9g+9ZAs/S8BOmaoLuyGOlM81HvzbBV54YsnG6zzte3ubK7UOGgx7X7LZs36QYRR5JokiMxGbglgZPJ5y4YDl2XrA6MHzyvgZnFqexocd0TbFlVrNzk2bPVrhmbwcjF/nNTzdZXp7k1is11+xt8+UnBCL22DAtaTZi+pGPtBKsRGmf9lBwYVlwtW3w8pu6fOPROlvmfG69Zoa/88ZFfvezXR462KQ39FhabbF7S519m/vcckWX73lpl7PLy3zyvoClfsCJcx5nzvh4SiClRCAw1pIYiIwliQ3TsxHXXd1nNIq4cvuIt718xIZJxUwrIIpqnLtYozfwGYw8+kPNYJQBWzIYCQYjkcoSwyhMGI4csEdRukrE2WoBw0jQCxVHT3d44Mg35q7cNf9rt9+0Mfrwr2z5o8UT72Vu50/99QP4j/3736d19VvFD/wL8fZtk0//1ve99JnG1bvqWKNAyDRgMnjaoCONHim0smm5qERJ0EqglUSn2tjzDL5OHIN7lnpkaYSWyVrCdF3QDyXdsMmx001++Y9mwMSIOOam6/rs3hQSx2CswVqXxJFCIJVAez4HT/rsP1yjWdO0fMlcQzA/K9kwo9kyr9i5OWHfzlUSscSvf2yCEyenuPUKjyt3JQziLt98KmCq7jE7aZlqhTTqTgoZI2kPFcs9y1I7od2r8+JrVnl4f58DJxVTEzVuuXqKd79pif/6cXj0cJPewLLa1VxYnmDTXIMN00N2zg75F2/vM9Fo8+QxOHhK4nkWpSxCGMC6/7cQx7BrU8Id18YkkUcUB1jbYBh6nF90oB6MNMNQ5fJtEAqGKbiHIYzCEmuHJo9dCoDDMIJRJOiFgnYoWQlh0B8Q9Z6YevMt87/1/y4uxmL2nR8ZnPdtfdM/+esD8H/yHz7Eni0b1CMP/Olbnzt+8QN/+NBi7fED0/zy3+9wxbY2MmVkx8o+OjR4SuGFCq0UnpZoJfG1dMDWwqXZPcnIkwRhwiiy1CPDKDKEoWUihlFkGMUQxoJhJBklAVFS48DhJk8cgMRaHLSdNvYk+MrVfLQCuGYzTNRhsimZbilmpzQbZmDHphGb51eJ7DK//rFJjhyd5MY9ij3bJHu3rfDVZ2IuLE1y027J9ISh5g8IZIBVgjiRCGuJk5CVXo0LSx43Xlnnhiu63PdojY3TgkatxY1XGH7yrUv82scNz5xpsdozrHYVF1c0c1NNpifqTE9MMtGImG9G7LwxJPBiPB2jVIIULpiwuJsqihQLFzVRrIhiRRgpRlH6HEq3aoaSYSgZhcIxcSgYpYGkO6/F+R1FpSN2rD2MoB8KViPJ6sgyGg65YecS7/kHi7z62jONfld9IOl/woR238eWT/xGMrPz73/nA/w//OofM93y1fEzp952+uSF33v8wNmanJjhcw/6eFry8+9eZd/WDjoDuErQ2sPTHp7WeNrihQpPW0bapjUkgmEoCDzByFeEkXTRfGQJ48S5InHpSCBOLEliSAxObxtycAuBWyEkeB4EWlALBI1A0mwoJhuS6UnBhpmYnZv6tJqrfOwbIfc+NcPq4gTX7VDs3Oxx+fYhiVjl8w81aHqa+WlFqzHkqSO4jvvtlv5Icf3lEdfttZw/l3BxxWcwbPC6F3b5+pMDDp1RNOuSwJ/g2j2Gn/+hJe55ZsCn75ljqWPZuSFhpa2ZmlBMNj1aDY9m3VILDIFvCHSCVjYPxMGxuKu0FMRGEieCOBZEsYt3okgyipzzEkaCMLKEIXkAGWbEkbF16PS2kyMwigX9SNCLBO1I0BkZbNTnxh3L/Ny7F3ndCy3d/jSD4Yma9Sb+IJGTfztm458ee+YPkt3X/MB3NsBnGlYOB513njtz+jdOHDlZ2zThsRJBV07yqW9qwlDxvS/v8PZXdJidiOjqOp728XSSgjzB8zR+qPC1IvAc2wR+elHyQxHFLkiNYluK6i1xYkgS5y4kNnVKUrdECOEcGSnQWuBrQeBLaoGkWRdMNCxTLcPGmRHz011iu8pHvi753c/OsqFW47odgh2bPXZtMezcvMLHvmlZXq5x5SbF9AS0GhEXjksWVgL83W4Jn5+UTE3BoWOWlY7h/GKNy3fVeOVNXe76Wo3ZFgS+j5JTXLtX8KNvWMCTC3zqvmmePVNjYydiw1TMZFPRqisadUk90AQ+BB5obR3I06A8Bznuxk4MJIlLpDmgQ5RYwhiiKHGkkAI6ig1hbAgj53lnwB5FMIwFoxh6kaQTCboRDIYRE36H7/uuRd7+sh53vkCw0plgMKwxGAX0h2drVk/+ltVNjQj+GMcz35kA/9CffIIkMT/03KNH/9PpUycn5icVvZFBC4EWkrZs8vmHFd98psb5lUV+4q09ZiYihkGdTj/B0wm+5+GHCb7WBF62tErCyKXSw0g41yVy/m8US+IYogSS1LZySSL3bDMfEMfcQrgg1ul6B5BaAI2aoVWPmWrFzE8NmJte5RsHQv7g7joHj02xa9Jj7ybYtsln20bYt6NDP+7w4P4J6spjflox1YKp1ojpyRjf1wjhbq7ByGe5E7Hat7R7MQsrPjs2tbjtygXufqjPwTMTNIIIT/kIMcnerYofeNUiN+9b4A/ubvHg01Ms9TQbJmKmGjGNmqReUwSeIPAknudiFaVI7UOHcovrYTWGHOhxYtLVLbUWY0OcGMLYlQBEafAYxe4GCOMU2JFgEEM3knQT6A0MJhowW+/w49+7xD9/54CaH7DaadAf1hiOAvrDgP7QY7V7dkLVar++YfNV/sPfvOt3X3j7G7/zAN5ud5BS/t0Pf+Tj7zl37uxsM5CINPARgBTWgXyiTnuo+U9/4rP/yDJvemmPl9/QYePciE63zmDk43s+ga8Jo+xQOcCjSBLGbtmN4tTTTkitP1LmlhhLAW6XpEyZG7RyCRPfs9R8Q70W06rFTE+M2DzX4UK7z/s+6fH5h2dYXmly2bxgxwbB1g0+2zYIdm8Zov1VPnSv5uipJldslEy3JJPNBClHnLloCbRECrBWEEaanRs6PERCp69Y6VguLNe5YluN73l5mz/9ss/xCwGejhDCw9gmUSy5afcKO7+/w+cf7fPBz8/wyPEmW6cFc82EZi2h5jvZ5nsuVtEKFzhLkddkZAkzY3FOS+IAn4E8Tpykcz46JWCnyaPEAbsfSbox9CND3AvZNtfhZTet8uaX9HjdzRZJk6WVOqMwYDDyGY48+kOP3tC15/VWz80GzZ3vveNlb1K9Xue3m82J7xyAdzodPE//nW/ef/97Dh86uMHXgtiXLqhLQSYEKOHYvCN9uqNpPnRPwD1PdbhxX4fvv3PAG25bZW7K3fmDkU8UeYSxRxjpPFCKY+dlR0mmLSVJIkiMKLS2EeSqxLq/LYVLFLlkkcH3DIGfUA9iWvURc1M9BtGALz9l+fBXJ3nw6SmmfY9rt1o2z0g2zvpsmZds2xiyZ+sKTx4f8MmvzzOpNPOTgommYKIR0e4nfPabNVq+RQgHrMFI86Y7RnzmAVcT0+4ZFlY02za0eMuLejx4oMv+Qz7NIEZJ4UBuGgxDp/V/4JVtrti8wIfu6XD/s1OcXKmzaUIwWbM0fENNG3zPuU5KuhvZMTlk5UcmlWrGFCtcnALdEQREiSBKCmAPY0EvFvQTXMwThjTrfb7vNSu881VtbrrCsGHao9evs9oNCMOg1OydOjUjd92GI8Gz+w9uUMGG99x66+2m3W6/f3LyL3+s3F8qwM9cWGXLfI8kMT/4zFP3/8eHHrx3tttdxfMkfmJIjHVgs45ChbBICZ40+FLS9Zqc7gScfaDJA0/1+NPrOrztlX1ee8eQ2Smf0cjVWoSxRxR5uSMQJ4o4lsRGkiQFwI1NmdsUNWVC2DSodHUcWht8LyHwI+pBSKs+IGHAlx6V/NFXpnj62CQiCtg1bdk8ZZmbUszP+Gyak2yZj9ixqcOpi13++6ebxKM627YJplqaiSZMNCKEF9IZNJlqWYQQWAtRLJkJFLGJ6UY+3X7CSkdx5mKdq/e0+LG/scp7/zjgxMUmWkXpjaGJ4xrDULJpNuCmyzpct6fHMyfO8OGv1rn7kSnOtus0A0XLh6Zn8bXFU6ClS+cLUa2uM4A17qZLjCCxECfC+eeJIExckmiQCAYJDBNLFMeYMGS21ud1d67yjju7vOTamImaJoqbLK8GjEJ3nUahxzB0uY1hakM6eemSayudVb785a9u6PSS/3jbbbfEjzx5+vdvurqB0H95M1n+UgE+GAw4e7H55gceeuS/PvbQlyfiUR8pFErGaA1eIkg8i83ALURaUwKesgRS0JUeg1ixMAr41AMN7n26zy1f7PEPv7fLVTs6bJhSTEhNGPmEsUcc6xzkDtySxLgeTVeXJfL0u2Nug1IWrQxaxwR+jKdCOoOIi52I//KxGscWpnl0/xTW+MzWBRvmLHOTgtkJxeyUx8ZZyabZmK3zfWanVvj8Y4ZHnp3ium2C6Zak1ZBMNAzNeojwRgSBRrtqA5dlTCSDkWYwjIiNoDswdHuW5Y7H+aUJbt/X47arV/nQF2vUlxVaRg6QVhMnPmHkejznpmrcvLfHzZf1eOhlZzlxUfIHd0+xsNrg9FKAryRNT+BnMkzatMaHNOWZShUck8dWEBuIjGCUwDCG0FhIYogjlBqxdXrAtTvd9XjhVQkTdU0cN2n3AkahTxRpRpFbZUeRxyh0duQoVIRhCu7YraxKKTrtHvuf+srslbv5rzdedcvKaNj/5F8mJv/SAH748GH27tykfvf3//iyp555bmJlaZmpVoCxjrmUdEGcTXWCyEHudLAXgy+hrg2DWNDzfAaxx1LY4O5HJvnGswOawYi//fo222djdm4ZcPs1XbRwLWJCOLnispKuVtraEnNjEdIVaI0iiyUGGfPMMcnDBzR3PdjimZMtwrhBSyvm65aZpmW6YZ0PPqGZmdTMTgk2zcRsmR+weX6Fe58e8Zt3bWDzlGZ+AiaaiommoNWIqQcjvvGcYhhqvKYDlbWuDKGmFS+4YsADT025wqdBwmrHY3E14MLiND/2hgucXlzigcfn8SQgIgwQxzplR0lvoJlu1ZiaaHLbFX1edl2f73/FRQ6cMnzmwRoPHqjz3NEmsdCMRop+pFBCpvU95cAzzQlYQ2ws1hg8kTDph9SIuO3GHrs3D9k2F/Gu146o+4pmTRNGDdpdnzDyiCKdrqwqdbR07rOHUeqzR8rFSOmqISVMTyik7fPIQw9OnD69fNkrXvN2dfTokWTPnr1/dQC+/8CzzMxM+o888vAP+8r+p2S0SrPupXrbpoVRAp1m1ixZRWAa6MUWTwq0sviJJVCCRgJDLRgkOj1qdLsJ//FD09g4YuP8kKt3DJmdjHnbKwfs2BASRSLV2xJKzE2qP6U0CCn46D11njzSRGjNibMNzlxoUKsrJgPBVNMyUTNM1KBVF0w2FBMtxXRLMzsFc1MxG2eHbN3QIbGrfPTrEwx6TS7fZploKFoNSatuaNViPC/k8w/UGPUl3gbXLZpJlGZd8bpbBnztMUNvJOkNEjp9zWpXc36pwVW7W7ztJR0efabBieUWShogSvWyR5S45X4YSnpDTbvn06o3aNZHXLVtyK37hpxaaHP83CraS3jiqOZPv9pAKOXAPT5/0BrAgLVEYcLOjTHveOWAuYmEfTstG2chiT1GYYs4dl1TUeyOONZEiSKKFFGSAjyShGl85Jyu1HOPBXHiGFzgrn8cexw7uYrfSv7TE48/2t++befvPndwf3jFvqv+agD83NnTrCwvXnHq1On3PfLIQ9LTKnctjHEMbRXkkV4a5EkJMnYaUSuLjp0GjLSL5OsJtBJLmAhGRjBKPEbGIzZwsTfBV580WBI+8aAb2YA16ZFl8VKLLK1IFEIilSKONNJoPC1pBbB73tL0DI3A0AigEQiadUmrrphoaCZbkukJmJ2MmZ8esWW+S8IK/+XPatz31Ab2zsJ0I2XvhqRVj2nUQ5qNAfV6g0BJlEw1OE4ORJHHcCAYjBK6I0VvaOgOjGuZa/qcvjDJi68e8ZNvv8B//lPNydUAIQzWRpjEEsUeYSQZjlyNdmugadZ8GvUajaBBLYho1UNuujzE9yJeeHnMu+7so1WcJoEMQtiqKE8lnTESISSBpwCf4UiztKJd3U6SxTzu2clDp6mj2MVCWdCfuVrFswN3nKTJtjTItVaQJJZHH3lYGiPf1+n2vz4aDZ/+y8Dm/zLA77rrkyjp1Y8dPfLWo0cOiVrgpkclxmKNwAhLjCna90XhYmQ2XRRnmUTrWrCSLKInPRmW2AhiY4lSjRgbSWQlidFEJiBJba/yI89SCpz3LsFTUKtbatpSUwmBB4GGmm+pB4K6L2nUJY2adgBvCqZahpmJmNmpERtmemzZsMRv3mX44N0b2T6lmGsZJpqKVkPRbECjntCqR5xbMhw5F1DzXfktZJV+gmGo2b3JsGluSGfoMxjalMUlq11Nq16j1ZjiXXcucPTceX7rk1vRUmMxJCZx5yLWjELFIHRFUf2apDHU1AOPepDQ7roYw/eSNGGWoKVrlJDSpfNFejgHN622t24lbJu0ytK4uMbFN0WsE5ee40Q4Jyu1bB3gRWrfOjcmTi3cJA1kXY4iPaxLOD32+JPi8t7grbt37z7yyU9+YvDmN3/38wvwbRuE3+6c/5n2yoWfieOR9D3nP4tEYKRFGEBIRGLcQIdcLoCUApVG+NkHTgx4qVWVpPaVOyyJTU9Olqyw7sRkgVJZc0N6E6U6X0uDlqCVcxY8JfC0db6xFtQCSc2X1ANFvaZo1SWthmWymTDVipmZGDE33WfHxiUefG7Eh+7ZwnQtYGPLMNEQDtx1SbNmaNZiWo0RDx6EJw40uGzeprq3SJsPRooX7rNcvmPAQ09P0R9ZBsOE3kCnIPdo1OrUa1N830uXeeK5BR7YvwmswpjE3fSxJY5sXk8yGGkaQ0u9pqj5hsD3CPyEQBu0TlwhmzKuGlNapHSlwQjrchQpLRTBuUjPbwZy11CRvzYiBbnIQV28Hj9IbVzy/ER2bU16fY0V9Pt9eer02X8b28APao1fBMLnDeDnl/oyjgY/d/GhP/ing+5Z39ceUVKA2BiBEQIhDFJIEmERxp3YRFqUtCRKoBObsjSYBGLjVgCTngRnYxWp9nR4VS6DSpn3yoorx1YKJdOMpaJUtOWyf4GvqAWKeiBo1AWtumWikTDZjJlqjZidHLBlfoUHDg74ud/byMnTU+yZM0w1YKKuaNYVzRo0awn1WoTvDWkPLUoqPGWRsnhnGTCi2GeiHtGPDf2R25+nP0zo9iXtuqLRDagFLXZtivj5H27z7z4g+eb+jVgUxhqSxBAncZpKVwxDxSCQ1EeKmi8JfEvgKwJt8Dzn97sKTeckSWlRqUwRwq5p0DVpHOOsXcfqWd18YgQmzzc4Zyg2wgE3EW7FTUqMna7KZWA729hd1+w5TuDQkVN+L/J/6mf/2bs8a1f/tRBTf+F0/l8Y4CsrbYwJf/GDn7jnH0dLJ2u+1LkcEKnnaqS7O6WRmBTYKgVzIi2JspjEkih30bVJv06XrOIEpCchY+ssWLW53K4APLvBspVCpU0SSjm7LC+31a6mxfcUtcCNZKgHlmbN0GokTDQiJlshMxMDtsyv8sCBPv/ud+c4eHKGnTPOYWnVJc2GdOxdtzRqCY1aRJSE/OEXW0il8KSzQnMGtyJd1j1+4DUrfOGRkG4Y0E8B3hsouj1FO9DU/IDAm2Df9phf+JEl/s3vCu5/eiPGShLj0upR7ArNRqFhVHPlrkEgqHmCwHeZTV/bPGOrlUEqt3JKYRHZc5khbAZyckbPJgyY7HVauJakybRMejiAu+9lq3IGbGNKZGVsSlQ2LaNwfzYIPJL+ydrCya/8E2/PG8Ro2PnZoPYXy3T+hQF+6PBRjDW3HX7m0brGMD/jvN6sq0RmQJTk2URpnGxR1hbFT8rmH9YYW6kbcSfS5oFIHrimlF1m7uyRAVwKENLND5El9tY6qzuReJ509Ru+oBa4mSeNIKFZd+CeaIZMTQyYn2rz4IE+P/f+GZ45Mce2acFssyRNappmzdWv1Gsx9SDE80acWZrGUwIlTWrLFUFmkkjiWLF52hLHEZ2oxiBtAxsME7pDSb2vqPkevlfD05NcuS3mF/7ORf7l78ADz24gMdIBPLFEcZIyuWEUGGqhZOirXIJ5HnjaSTRXp2LREqS0KRHYvDBrDONOrpCtmmPBYUlDJwkkVuQrbxnQSZLJEPLr7P6NrHTA/TUpodXQTDYtDz10oH6Ld/Vt/yszyv9CAP/qV+6mUTONj3/y835dD/E9DTYdmiYLpsoOI7PgqijbNNKSpNGzsemdnAHdFh8+u7NzOZIum/YS702Kooiq0PkiTVu7WduFPIGaB4FvqNcs9cDp50Y9YqIRMtUcMDfd5pFDQ/7Nb0/z1Il5tkwp5puGybqgVZM0aopGXVCvuZvDpfpDHtgv6A19aoo0Xe40eNaEkBhBFGuaNcXt13R58JkJ+pGTKYNRQn+g6AaKwFf4np/q5ymu2m74pXcv8NP/A+7fv4HISCJj0mbpogdz5EsC3zj29oo6eq2yg1SmlBytNMu7Psgzi1eU5CEkaabYGPfalIBdZmtTAnfW+5qBO5OZDuDuLw9GiueOD1jqft6/+ZY7G3fffXf/Na95zf9+gJ8+dYqNm7ZMffHuT/13X0UvbdVFWr1GicFTXWwLxrIWlCkB3aZ1IsoFjTZngjKoq8/W2py5KZ0Ut7S6giJ3g4m8yEjlAHdevKcdk/ke+J6h5qcFVkFCPZUXrfqIydaA6VaHxw+P+De/Pc0TxzewaUoz3zBM1qFZEzTrikZd0cjZO6EWxLQaQ+59wme1XWN6ukiTZ4DJlvMoUWyYVdx5Q497HzauiyY0JZBLap6k5mnXCKLrSGm4arvlPe9e4Kf/h+X+gxuIjCbKKgATmzN5EMm8utDXrjPK0wItBUpn54b8/eU3IVla3+ZQzxJC44cpPReOSElXW1sCeFb/YkvSp7imLm4Daw3GwChMsAxeevr0id95y3d/9987efLk6o4dO/73Anx15Ry97uJPLy2ceGcSLjPR9NLaDscGWb2Dkw82TwcXOq50MmwhXwptLapLlykq4CrMnRdtidIFIdWTRY23UkXFoFa4+gxt8TzXWFzzDTU/oV6LadQimrURrcaQmck2jz434mf+xxyPH93IhimPDY2EyYZNwZ2yd01SDxz714KYRhASmxHdMEAoiZcxeK7BRRo0O0stijya/tCVC4Q1pjOQDxP6vmPwwJdp80e2Aa3l2l2W9/69C/xfv2G4/8BGIqMZJYIwyVrJBLXIEHgW3xP42qSrl2v5U+mKljd2p5JOluIXVy9UOd15wZq11VjIrcK2IiONKb5XXqVNmb2zfy+7hsI6DZ/Kunb3Al5w7J0PP/rEkSiK/uX/VgZfvHiamdktO7/yud+7LhycY7IlEZh8wGumf/MbvwRKm+npyh1f1nNVNsiliEmXxewEFwgvWLscVOYWpOvQUWkwpbXFUw7YvrZ59WDNS1LdHFGvjZie6DPZ7PLA/pif/c05Hju6kflJzXw9YbJmaaXgrtecnZiBux4k1PyYiWbI/uOWex5t4kuJp0x64xc6MnOFokQRG83Lb4q4bE+PIyfrzDfcvJFh6OaZ9IcpC2uF1l5qqzrv+pqd8Es/usi//B+Grz8zzzCqM0okYWxpxE6yBB4O5DpbvUze2ypVkq9wSooSwEUJ5KzRKwXIS8RTWW1LEjO7pmukZmlVyOCSzb0pSSVj4dDR03hff+i6f/qP3r3z+MnTJ3bt2PaXD/ClxfPU6pO7Dh986FdHw9U3S9unWVeVBoLxR8ba7o3a3HayJQbPP7Sh8vPxJbEE6/Scl5i7DG5hkSqzBR0YtEpZW7sRE55nCDxD4MfU/JhaENKojZiZ7LPS7fO1p+GX/mgTTx6eYy4F91Td0qoLmjWRe+XOeTGOvX0H8HowIkwShoMaNeVuMpkBJj8vqeWWSOJYOy2vR4xCyyASJYAbfD/B9zSeJ9FKoaSXAxwB1+8W/NLfW+E//nHM/QdmOdueYNiUTCWWVmyppRMHAs+m3n/mpNicvTOpkgE8f7/pmy7j3JavQwWotsrmJeBnBLYewHPJWSIvIarf6/b6LCyuvPmrX7s/ue3mG/7J6TNnj2/buuUvF+Dd1ROMBrVbly8ceGtn6TlaDQ9LsqZiL/vwrgxFYEoyhdwJycBsi9emiKTHAV48KumI/CIICnmUSSUlbVo16Jhba9ex7+flsQ7cgZ+Ce6bHxZUB7/nDBp/85jyLvWnmJyXztRTcNae7G2lgWQ8kjcCmDO60dy0IgZCvPO6zEvnMBlTqsRHlC+10eBhpJgLNK2/s88DBkG4UMBmZtIvd4I9crbqvHcC1sijpIaRL0GDhyu2S//wPO3zmgQG/+P6NnF6cZjClmfIFrdjQiCGI3OhlX7mBRl4WaEqRB8HZczlQz2/MkvTMgV66TlDV1VWdXv26ckMwRmDrSiHJo088x/z8/FtrteYf9vuD439e3P65AB5HPZRuXH7+5Nf+Udh9jKlJi7VJwbhGVDKJlYi7pL/zpIwVpQ8tsMaWAC0qH7oK8Ex3F3e6q0i0uQsg08yos8EcsLNxFK4FLsH3Ymp+ROBHtOoDtO5z7xMJv/PZCe66bwOhmWDDhGCu5mSJswAzn1ylh0iZu8zeEVqP+MazU/RDzeaGTW+4cQZPA03j6jdqnuK2qwbExgF8EAmGmRsSupFrns4sTpUC0WUfHdgEc1OCd76iRys4y/s/O+Brz85yPqrTr0kmYktTWwdyncYhyqZxiU1BnhJDGr9k9VgSUZWf41cjZ+AxwI6Du4yLNWAv/1trf99YiCLF3V97hssv3/ePvvu7XvxYp9s/NNH69iPhvi3Aw/5hlk5/Gi+Y2hJ2D76sps6jmg2ixLi669T2GwdnmdUr0sOu97vVm6EAdmmtSr90wLZj0sTmPq6SJgW4SWu+U3ArV4sReBG+H1HzQhqNIb7f54/u1vzy72/gyMUZvKDGppZgJkiYCCzNAJpph309cNnOWpoQcvUrSboSOHmy2EnohT6+UvjS5gFm9t4thZecpOntMPaoe0M2TQ1Y7bcYRCIdt+ZiBc9LUptPpXanyv3rInB1lY9vfkmPF159kV/6gyEf/Pw8y3GTfuDR9CQT2tXgBBp8Rd4MobOkjyS/IbMscH6u1wF4Beyl62bHnyuAXgfwYzdF9nWewbbOcTp7us2X7j/wspV+smVxqX3okf2nuPmq7f+LDG4T5ra+Ytdg9YnfTPqP0KgbwjhEp7XXua+dpnPLPnX22lTqG9YHf8H839rUz1LKzg60he5O9baSBllmbpU4kHsxvnaSJPBHBN6A4xdifuszTT7+9VmOXphmouExU4PpIKEV2DT1noFbpuCWeVKolmrvwHc3zkRzxMe+oTl0ok5NCZcxzBwUCpTnYxys0+FRrLlyJ7zxhV1+53Oz9BqaicgyjCxBmMYNyrgBSCpzhjKQe6Vr5VaFHXOSn/1bfa7bfZr/cdcMR89PshzX6XuaphI0UqD70robJ3WZChYvSpmFyPIbYo1Hnv/ZsS9yCVICrlkHxMZW2duUDYk0TktSkIexYGQ8PnPfQW68+erffOvfePHrLy51vq1U+ZYAt3YA1Ig6X9lmhg/t9cQCNmiiVIRWJh17JvKLlWcbM7AzztZjTE5V1sClAS5EIU8yYBfyJJ02m9ZYKJmxd4KnYte548UEwQhfj+gmIe/7iM/7P7OJM0tTGFVnZlIx41smfUMjZe5Gnr6XaZ1KKk1S7zwHt++yl6Mo5NDpgF4YMB2kLk6WdMpcidJFzmtSIs1EU7N7W4gKhnTDFgNfUE9nkPipvPJSiaIz10OoSwSvivnJPj/25j5vffl53v+ZDr/10VkWB00GukZNKxpaUFeWILaOzaWTKloWtma2KuZMTlUero+ZEugvwdSXWrkrDlt6xNal+8NE0DeSM+c7fP7rz+ytB3rbO99wy/HhcEitVvsLAjw6hZBT80rJj6jwbi8IaiBDhDQoqYiNch3raUllVqNgSUG+HnNTykSW2TuVI+OejAtwSic3rXwrTn7G3iafWaikA7dWCb4XUfNDfC+kPQz5xpOSP7p7go9+fZZh0sL3fWZ9wZRvaPqWRmBp+AW4a4EkCCRBKk1cYih1JlKA+57LfB47Z/naIw3CyCNo2jUBZvbILNKsFDWMFJ6nufOFXT70pR4HTzcZ1NxohpFn8WPwIoMXGpSSxUBSIYvhPiXmS4zrT20Emo1TA/6v7+tz1Y4RH7y7xcP7J7k4aDJUPp6nqWlBXUIgUxs1s1dl1lJI5WA9oK/jclWBXsjRMpObNcydBt8leRIbQWRgYCS9BCIp+bPPft175+tv+MjZheUbLi53Lv6FGRy5UcaDx2+NVj82iQ3RSmFxfZSJTNBJJlNScFtZBJxGllhbVO7Y7ANTuoMv9agCvFQYJEzB3tKkdmCSj4DL5IjWEe1exH1PC37vcxPc/egky+0Wsl6jVVdMeZYJ39DwLA3fUvdJWdsxdz2Q1HxFzRfUfNIKPZOC27iVwY9ResRzp+FMu+YSK6m+rSZOcgJP+yDTklMjCUPNxgnB5dsHPHUyph95jNIZ337oelY9laQSJUvUgBzrzMnzC6kNGSWuPvwddw547S0rfPmxLh/4/AQP759gqdugLX16vsZXAl8KAulaB7V0u9QpUWJ0kZb9wiV1uS29KIM9lyEVFhcVuWJKAE9sCm4Lw7RHNDYGTEQYRvzaH35p8ietuPWVt+77HN9ieNC3BLgwxwIlk98YDI42BQql4rQbJyGRikSpdAPW4qjUEiMq7F2uNa7e5dWzVP4qkybl4nxRAbZJnxOUTPAzN0NGXOzG3PuI5rP3tfjk1yZZ6DQRtRpey2NCw6TnOnnqHqnsgLov0kOmJaep7vYFQcbeGcB1jO/H1PwQayO+8mjAiXN15mYEnjTpMp8N86+iwJqi/DRJFIORx86Ngjtv7PPxb4b0Io9BJKh5Fj92LD6KbGmVUrlfjZAVmeIOWTQqGOe314MR73jFgFe/cIlPfL3LZ+5rcO+TLRbaDQbCZ+BrtKfQQuBJgSclnrCp1LLOYaEkEUsAX0+xlAGesXV2g+c6O/15koLbALGFyDrmjg0k1mCNARODjTBS8dT+M81haH/j0QPnrgIG/9MAX+kYVgaDvxmt/O7UXPMcwgjiSBKbhFgqjFIkRmFSmWKznYYzUGcSJZcqYmy5Kk5JbvCPITzzuslAnT87YIsU4Fon+DqiVosYjhIOnoHjZxUf/uIkn3t4goWVJng19IRHQ0lanqWlDXXPUveg5jlw1zw3k9CVmcrSIdKf2xTkJge577n2tCNnDU8dC8Dz0mXellL0okJ1FZcgEamb4sY5X7t7xNXbehw402BQEzRiQRBZRorU2jOVcdKFBVlolXypT61IY1Q6fcBjGHrU6yN+6HUj3nT7Kl94pMeffKnB8bM1DpxpEK4GxIFmqDVSSZfOBzfKOg04syBUiVI+Yh1yGmfwbAU3GWNTlGgkkEsTY7MRe2lxi3XAxsSZbqF9coGnnnmCs3PNb8XRlwb44sqqCMPRT/7GHxyeunxjnVv3jbj5ish5yFqQhG6uYAbyrJPdpLO2MxYpdHfG2mX2Lgp5soE8OaeLcmBpCtYWJgV4QhC4SapxknB+Cb74Vc2R03XuebDOmZU6R842IQhQDU1NK5ra0tTGuQieJdBucHzgkYI4O2R6qBTgpJo7BbeXEHiOvd2NFXLsIuw/3sCTVXswlyhUqyyzYNykzofrc/S4eueAyzf0efpoTD/2aEWCkQY/nQmoSgCXUiCkrDA5lJZ7U5JBSfo3EkWUeIw8n4l6yA+8ZsRLrutwZqXDVx7yOXoq4AuPNji7VCMZeBipiXyFkNKtFCL9e2QZz8IfWq8SsSxZDKwNNEmHQdlsd42srzYpjjCBKEHoGKkSbrl6xG1XhLx83z1zr3rtv/hH/+wHD79XeJetK3QvCfD3/OYniOKEP/v0MiTz7N4y4trdI15285Crd8dsmY7ZuyukZiVx6ACeWEmSqJS5C3BjqwC35dOQva1xcGMrAaWTIukE2iAhSixHTwmeOqr44oMNnj7m8+yxOp2RGzyD56MmPNehr6ChDfWSDxzorE4jK5t1deFBKkt8X+H7Mr0BbKG9vSQduu90fs2PsCbkwrJkZAO0lvjSoks22xiB5yBPbLXfMYw9BJr5mRCphvQij74WzumIioIxrUwlAylF2WhPhx2l1yBn8lIPpZeofPxEf+SzaTpkx8aIm/aMGIQD/vaxNk8f9/niAzWeOlbj6MkaUawgUFipMEJSyQaVi5EQJRbP6hEtee1nOUWZP6egJq2vtWkDeWTQJOzdFbJ1JuLK3SEvv3nEtbsjdm2yKBE3Tefz7xwJ/d7/KQa38e/w6IG++qF/fU4MI0EY1XjiiMdTh2t84cEmk55hx7aQa68Mee3NI15xY4g1At+z1Fu4AnBcS08cuZNcSBO5ttg4A7jNmNugtZtjIqQhCi39ofvZ8dOSP747oB8pHn+2xuFTAYs9n1Hig/ZBeagJhS8FdQUNZakp3DgzlRYeKcfavidc0qMMbk/ip7Ik8CHwSV0TlzL3tMH34jQjGlGvhSysJHzx/hbtbsD0pECnXrws4WDNObak1XUiz2qORoq5WcVrbx/yhYcHnGw3GXjSyRQNXmzxosyzTj12mTi7kPKsE5n/DWN16W84oPuJItGK2FNEiSaKvNRKjWj6ES+5Nua2q0a85WVDnjsleWK/myf4wS82OHbeAyHpDzRJqNJ0p8TqAuC20hqUYdoWFVW5GW4RsUUYk1aeJtQbCZ5vEDbhlTeOeM3NI67ZF7Jza8KkZ5mbtGAUSaIJY+i194s/+vpL1M/+54/H7/mnb/nzATyKBdfuDd531ZaT1+/fb9zQbDTGelzsWy6ahGPLNe5/2vCnX4qZm46xxnDjFSHveNWQJN0deH7K8IJrhzRrbjle1zrNGdz5TVJCuy944jHNUsdV7T243+PTX68xjBTDSHHuvI8Rmsh6GOGB1ohAo6XEV4K6tNSUJVAQKEugrKsB16nnqwvm9rO+zBzcKu3RFDl7+57B97MCrSRnb9+PUCrkq48pPv7NFsrXzm6r6O9LM3jmhTsdLokSxXDo8aY7BnzyGx0++JVJenGNZqrDvUyHR1lSxubdQiLrNMkZVJa0fgngJu2C147JPa2ItUbHiQO6SlDKDdKfrsXcsS/m9n0RVox42yv6DCPnSX/q6wEP7fepB4LFjuKJZ3w6PYkY90TXveCujLZZs7zghpC5qcQ1viSGd7xqyA2Xx1jj8DM7bVFO+ZMkkuHAxXtO9hoeeHb1+oXO9Ps8bdfd/GcNwBeWu3hBc+L3/+z39z19VKpYKFA6fdPGdS1gMMYwsobzbcP5VbfEPHfS8OmvJoDBJpbJacOt14e0agaTufiXfIh04qtgtad4+CmfTlshtWRkJCOrHTMJjZsLrBFSI6XEk4Kacl5uIA2+LIFZFjP6HMhF0fCgXSNA1nhcBrdj+LSs1ssYPCkdMYGOsDbkzKJPOKoRTEr8NO2t0qq8ShYzKyGmSK8XIHcjGcLIY7ql2D4X4oshgzhgEAvq2g3BzGpIsoSWkuXyVpn/rWy1dMkfU2RPjUl7JwtpFMdJmhRTaYlDTBQnqMiNmdAqQaqYbXMmXTEMV+0YEtoBUhvabcHDT3ms9p1sqpQgXgLkxkCzZrjt+ojJKYuNnYytK1Aie98+SSSIciOjyJY7Ny/msi0DtXHr4r6bb/mRiX/791Y72p/61gA/cmqRU+dX3vs7n1x5xbMnAoSvIIvQs7Iaa0GmmslkE5EMsTW0M02lLJ1Vw7mvlotLLgXwavGxFRKTbblA+ixUEeRIiRJu5l4gXcrZlzbdgsSm808KxsvA7WnXUe+23iMHt2vrcluiBL7A1+Qlpo7BUxbXbk8gT8d4XkQQRJxaNPzBF5qgfTwpigAzlydiDYOXM3zZkFAHNjdYJ4w83vXaAZ+4d8CzF1r0Eo9G7DaldVWAtujESffkyf9WvhqKQgmk9m3B4oIkBXqcSLRWeElCpFzG1BV0OTsyt2BVkrtXMo2HtLAImzDXsHzXiw0Ik8dO5M/r6TORP9vEI4ncNDJr090mbBbDyRIRlACeMoUUHrONiI2N514RDY6+Fxv/g2/L4P/l97+EksI/evI89UChZZFIKGwdQULqecus5iAVlXnQYEFZEq8cTHwr9halZ5k2M7hILYvWtQBPpKwsnBTQktJz1lRbKiTSlOagOJD7uuiqLwAuc9kS+DZvafN9UxqcE+Ol7O3rCClDTpwXXOzUEFoTSCryRJY+VvopSz5wdSxDEQgqwthjdmLEzk0DDpwfMUg0wwSCROAlFi9OdXhM7iwVmUVVJYv0hnKTdm3RAZ9LI4NODImSKJ1tX54xeTYkqAxsgxLZZCyTJ93KOQpEGgWIS1/ziukwZkZkgF4DbCvWMSkStDmHOf9nbvfebwfwY4dPIgTocMCc705elm3MTXnSIhgrSKwgzj1NmaddsUXkvF7Ja3YByt53FihlBT5uIhVoYdMjBW0qAbLX+XPaYKDzUlDyBltfCQf2Crile/YzoGfBJ/n2hH7aJJFJFE87fer7ETERn/lGnQsX63iTCj+TJuX2vcwiHDsF5bpwM5b0GY7cBNs3vKjHN54c0olr9LWmHhvCNJ2uZFEQVWQZDUXnUBZoimp9h0lnqlhIlEjHdQhiJdCJTHexc2UPGdCrCTWbj32TwqQFX7YEdncLF05Y9eYuAJ7egBV3rQA4edmHLJFBSaLkWXGLiA1hfIr1FEIF4L/1wbuZaNVf/Ecfu/eFKxdjfN+mzG3HTpStmvQp+JOsFiJ9wyZdJk1xXcucnTJOAYA1iQTIs2gyzaTpvOIt3Y1YZs8iH4VQBnY+B0Xh+hHXA3gWcGa6W2eyxKZ6u1pL7nsRvhdyvm149HAdtI9O5YkuFShVsn3lIJNybXxp7EKWdUwUUeRx42UjZqcGtFca9GNFQ4EXu8+iEjdjRkVlgKc5g/wPybGCJpH2SKZJOWVIjMAzgkRJEmVIlCBOQR7LonhNps5QVq0pU4ALaStZ5sqkrFyKj2fyKJVrFM+5vVkGsxln9bVVqUIK0K0Xzm191YsXTrz2vg0733QJBk9CRgP7XXWdvMAjxAt00fGeNZJSdOPk38syVFkPXnbhytZn9myzAvqiOjB3UivAsGmgRqmEs9CeUmQtaUVxkFKgsw566WSJyrtXCmBnzbeOvVPNrcn1dmYJOsYuwO2l+lvrCEHEXV8P+MbTLWSg8aVw87fzCsLi8xSZvvFsZnk0WuaJu+TZYOhx+zUD3viSLr91V4swCeglklritu3TsqhWzGWKlCmLl//UpZgcjJb5pgSJMo7FM3ArgZYyHRBUMHcO8krJRNp8kQOdEsCrLF4hunVqkspMngHcVKRLddKWsZIkiTBSvaAxGH2XMea+dRn85MkzTE60Xvtnn/zi3xp0FplqOnu+MtglX1aL2YC2BPisaKacrVpbIVhSUOknLjNdGejlumRZ/l4+ii0DOimDk4+H0LLE4mk3jKeq4HbjFMaYO+3Z9NP2Nk9nDQdx6YgIifiTr0yQ2ACVZy/LAWbR15g5GxUNnhJCPkzHSDcKLcmCTY3A4x2v7POHnxmxaiIGSY1BIvBichaX0iJjkRaemdQuHNeiksKaFCWQCxLtRjrESuApQ6Ktky2JJJHW7WEqZcrcMrcnRZ5VLio7C5CTlleUmwzXf1TKNxBgslEjWT0TedIwJwJbzR/EsaY96EJ99Lcuv/rOe5YWz35hdm5LFeBhFDEcjS4bDPt7o1GXZs13GxOVR22VA6OMBXABZq4pKeurb+mbpAxe7RjJhwdRni1YLPtF50mxb30G9mxPGpXKEqXGht2kwNZKFE5Kbge6jnvXmGxT5i4CTF1i78ALefSw5NDZGlZ5KCnxpUGXb8rUJswdwvEijaxkNBulYUTJr3Ygj2KPvVsirt7T45vP1YmUzyAW1KQbUKpjkRZBpV04carDcdMOqn9SlFhclKSRe9YpYJSxqVRJb9hEONZWssLejrllUZefafFSmYX7zMVKfSmEVysLxxpnclCLvHc3n4+YZIVkgm5/yFR/uDeJw8tMEn9hDYMvLS0zHA4YDQd42iFNSlGZ8KryrfjSEyPFWkmSf22ry9F6AC/ZpeWkSDaFNtOVssTUhWQRRfe8IO90yZg82/eyvP13BvDy8B/XbU8O7DxbmTN3km4XngaXOsIS8adfabC0VEcEGl86d0eN6+/xALPigxfjMsp13Lk3bRRRpJmbkbz9zi6PHp5glNToK5964rR4pZw1LpWyYlJPPHW0UhYflwLFeLxiCpU2pFIpW5Fc87YyWXOJrMiV4jrZyjUrA7z4/GNR2BgBjgM7Y/KsxS+rwHS2qhvumVmdcex2Vu52lgnDYf5v5gD/0Ec+hZSS5ZVVfE9jU9DFiZvvl0hLdVhP2lBaAne5SrBS8H4JgBcgt+uAO80Cl8CiKkN9ipmDKt1BInt2IE/HtekqwH2dDgDysq0D06SQtnh5Kt6kr5PKoZXr3Hn2BHzk7hYj6aOkSrOX1Zks4xnMcQIrV9pVdXiqxRNFnGiCRPP21wz5vc/1efJonUh59KXb1EunwbVMykRg0/ayct7BpH+rum9RmckLcDtS0yaLdwwyyUZMFN1Ted+mLGnxMrhz1raXPAf5ebCFcC3f8OX3mQM9EWkNj6iA3ArN+TOHaa8sYEp2oQY4feYsW7dsbvzS//Pfdp+/sIhKoyRh3AlLDOngzJR1ZDYBNltmS7o7BT3fQp5A6cKP62+5HshFRZ5kddb5uIPS+IPy1CatM6Cn2luNgTtL33tZY7JxM0PyFrE08aHj9IhQXsihM5pu6IPSqTyxY+WxY59r3EUp6WFbCpzyVLopJ340TU+wb+uQJw+FJCZgYHxqiavZ1qkGV8Jt1ups1ow1DUWSLrvohbeczaPRmWmQzhhU6bBMF884xk6MpSjuyupsipbBnL0pGlNEGdwlubIG5OVpDJUWttQuTAvGstqdxBZTbJPSCGdjIyampnbf+fp3NxZf87f7c/ObHMAvnD9Pp9N+zc4dG3764MFnCTxnx0hhSYRAGpw2M2CE+8NSZPZh6YJlzJ29vgRz589FfU4+2TSrn86AUh0OWTQQuHLR0nOJuWVJlpR3MfYUqRfuwO0AXAwFyhjc02PsnfV1+iHLXcP/+2ctlgY1ROA5eSJL7k550M+3yVjn5yy9eLbspqSp+zjWTDQ0P/49Xb786ARLI59QagZS4uc9lOWbK93gK3MxhMnLaC0mBbfJM4eFs+L+LWMtyrjg3KQJay1F3tRdBXYB9nKfbAb2HNgVV+XS54GKDi/LNwdgm4E7KZcBF/U8g2HElp3zP33s2KH7wtHwEzmDHzx4kCDwOX/ujNvjXCmS2G0boozb/dZIB/RspnMi0wuTL7NjzF0CeflDVRM7ZbYTlWV9DcBL02IrAFfVIZuqBGotJTqVJDoHeKa5TR5UetqUwJ24TnxVZW9PRfh+yIe/4vHMkTpIDyklgSzZmaKqwbMPeMlqwhKbF2OJC5DHxrWcxbHHtXv7vPklHX7vczWMDhhIn0CKIukzBrZxJhdlJq80gZfsNwXKulXBWIEyLmA3aZyTSIFMh/lnwbTIE07ubxXjLIp54+WspoA1KF/Tl1uST9VkGJQ3+I2TIiMbJ9AfRJw8edrtnxq5jSE0gOd7eJ6P72l8z9V6xMIiElcVKEiTOemJMwKktflY5Hw5Kb9Zm5UcZDyeZi1tlbHHl/IC4GUWFyV9Wwa4kyeyDG4pC4DniZ4M4NbNyU6liKdKAFdrmVsrx96edlOrVtqGT321xWI7gJo3Jk8uLVEQY5WU5XM0btuVO3FSiRLFmukJxd94RZ9PfmPIUi8gVJpBIlN7UhQtZTmDjiVZUvbOvmVyNi9mQSqb6vB0RzyTbi2j8pXSsbuU6cpeyqbmq660SGxaVZidB5tnWAuAZ9RnSzYhxevSKL/qzZ8xNqUg070OYwFCoz0vNzn0yRNHmJqa2vXYY4/95OrqReo132nrNGGQXzADSfraCHeHy0rKueSaVPR34f9WJEpJnpTT8wXIxRpZIrITLcryRBQdLilrqzKwVbEXvc6YuwzsdeSJ1uWkToxWLnN57LjguRM1DAFCOvdEi6J0oOqgVLtdMhov16IUTF4kLmx506e0zzVONFjNlTtD9m4esnSgjk18x+JJ6vmXXJwcVJQLvVLBnZXRkqIor/dI34ssZpJksY2RYNJVIilLMVNaWfMAs9jB2n3s4n0UpyEFty3OCyVZAusxeCZLqgCPjdv3x+39ozh1+jxbt1/+kzffcuvjhw4dPq6NSRiNRpukMK8NB6vUaj5RZPI3lwUnGRsl6Q7F+Ujc9E3I9dyTMX1SBvf67F2MOCuzdQH26lD7/FkVDK5zH7x8pFtaqzK4C5BrVRoSpAr2VunXWkcoFfGZb7Y4tFgHv5AnZfdEjLH3tyuNLs8CqWz6VBqmlJfRhpo9cyFvuL3PQ882wHjEidPiXpIO+UyqUimXKmW2TAPPYjOBsmMh0lVZuJ05UhZ3h8j1d/Y6T8iVnSNc6lwk5dmRZduwtJqnoCjXKhWTF0pzUkpTiPNqyBTgUeLAHcZu/9HFlUWiKHntKAw3JUlyXGeWH7hlXOdriHR3uMqYx0LatGCEdVuUGFHSkrb0Btd/VOyicd2dnpgyixfSROQgz2eCrMPgqgzudD5hsW0Ha4Dt5XMLk1JwaVKQx06eqIh6I+SbBxWf+GqTwdCHhkZLgSeq0mQ8wCzHGesCHKpL8JhlWPbFo1gz2dK85eVDPveNPg8e9LFNj0ES4AtXSalEmh8oBXtClMFdgLw8ycAFn6mjoxybJ9Lp8QzgBXO778l0bopILWRV+txrCs3Epa7/GBnm50TkNUxFvqDYCyizNd0GV24byihyu1skSVbk54JaLUUERGgV06q7nc6sdfusuESOkyLKlpa99GIIYUvLyjqZyxKDjweXOYNn8mQs2CzrOpmDuvq1CzDT5I7MltQM5FnZrEWn44KLw5RGKhezCx1bu0MpF2D6fkgUJnzu/gbPnmyA5yGkSkGVBZjFViBi/OKWP2vpvBTJjPQcmrVeeHZkdmEYaq7aEfO6F/V44nidUeyTSI+BUfgJxXspSYX0yqwBuR17L6jsZjMYJVCZRJACq9I9l4y7LiZbXbOBp6mFnH9uY6tOUipT1gN5BSulmx7Wq58pJaXS3ZKTdC/VKLaMwoTB0DAYxgyHIYNBiD713KfQWtLt9pmdgnbPEsXpEiRBGBe42LxTwyKMQNiiwrDQ3cW7HMtZ5f+z3l1dbgrITkxWy5FtRTIO9PLIX5UzdgbwYnJqLlF0NifcpE6KSQFtSsBO2TsNLrWKCPyQp08IvvCNBv2BD00PKbLKwXJNzDpZzNISXb7N87qLLMAqlzpUCrAyLa7ybp9WK+R1d4z45L1DnjgagPYZGomfaXFDupVjSY8nuOsmhHMLylGRKuIorSiki3Rsnq0qeXKtBPQsoywkSGOLGxxRel0KMMet02/J4lWnKVMLOYvbUiWrhTgxjKKE3gg+9fkH+fJ9+0mSBD3TPIGUUBOGeFYSRh6dfhHVOjC6N+w+ndNnYiy5k9fnridNSndr9u9VbUKRZy0LRnfBZLEliSixRlF/otJ9gbLhkdk+QRlzq3w+eDYyOAO5yQd0FofLVmrlkjqeFxHbhLvuq/O1p+tQ0yBdQ7OfpcnLoGbsKH+xnkRZk0MQ+W7khaMiK0AfDT1edm2fN7y4zzMnasSxhxWKgdB4SfF+hAGZFFZh9W1UmbwsM5UqW79uRIW12Q55VaBLk7K5KbsoJcvQFNezsoqV9+QUldutUpsyfo4qG/+m3xP5CgWj0HJxFY5e7IEMwRp0lHRS3CZIpRlFAYOhy+1nGc+yVy2lrSyv2NKbuRS410iTEpOnd7woSZJsE6lch8tqkJkXWilKQLclJh+TJDm4S7q7FFhmzolzTNyzUhG+F/H4cclHvtICfJAeQig8kTVZ2MIPrjB3dlEza0yUuFtULyQl5s636ZNOKiQCo9LRD/k+8RprNe945YAv3j/k4SNukkBkFP1EpAVf6fnBpiMlbA6sKmcW0CoDPQOWyjLTKp2DaMljr9xJsVQ/vylXUqYMXiqey64/6+Ai+7uV5wqbl5wWW/xNrd3cdt9LCEkwfojvuxtU/8IfaYRw0bpnBDNBjK8p7czrAC2EQGLdHxFZUDm2d846TFX+Vva5ikE1xRJe3jYjZ+6KNKlG7OWS2UySZNuWuO05CnBnu/tmrO2p6rPO9LfK9HeM58VEScw9D9Z56nDdTRaQutTYUL2wjr2qmzhVWbPKn7b0Im+AqFRqloLNxPWoulJazSj0uGbvkJfd6lh8kDgWHwmfoQGdZH64czOcNLSuE4W1IHcgHgO3BKtsrsWlNOnr7PqLnMUL5k4/dwn0AlfykZ2ncm3KpTKba8E+Nku+dG8q5Y5GINg4J7j1BX1mZlcIAumqJJ8+NA9CYuKIphywd7NhdjLB17JyJ5bfkciSOGuSOesBvGCzNbo7/SczZiYFd9UaLGUzSzuWZbscZJKk6OYpwK0qAWVJiuhivLJWCUqXAJ5KFF9HHDon+MDnWowiDxpeKk/IW9NUJXNYck7KNsGlJIqtAr0sUzK9eWktrmkGkh98XZ+7vtbk4Bl38yVG0U+UqzJM0mxjCm6RCLJ2XTEG8gpJKcfc+XtKA0xlLdaUpKJNj8z3tiKVJGudlMwZM+vg4Fs9ytKl7JFnz5kNq6RrVpmfFuzaXGPzBh/fV87Lv+vD/2Xjno3e/9NZOHHlbMvSqMnqaLCKVi69RpSkRHHI0qFyNi49S5HWEWfBYjYOWFY97TFXJG9myMCsGQskSYFbCixz39vkcqVaa1La/SFtZMiORIb83qcb/OEXpiAIQNVQStNQlrpye91klYle1uSctsYVmdS1GdairLe0AuWxRGE7ZtV7QpI2HWQlqu61sIbtm0LOLEoeeconFgqEwgqFa9C2VSkoymSz3vq6FnF58/saGWPHJE21dqRywxrWxBrV4rwqgL/lUQJ39vbz8uk0q94belxYqpHUXr5JTbz+S/rM6dNTNu6/fqqRIJWbWKrU+F1W/dri7uoKd9vSklOVWDDG1jnBlQLK8p1f7uCpsHjWulbZRS3T36WUeUV/Z+DOtjOxOVtnVmAmS3TqnHg65Lmzkg99uQFSg3TsnXful+OA8ntknASoMHt+8sb0dwGEIvGSJTV0KbNpbJq+V6kWTzTfd2efj9/TYP9pH9KxaiPjoYUro83PbZJCManwYs7nGZBtydVRqXxRNnsGK0pSSmTBZpr8S8+DTeWasAVzZx8/Y918YRuXKdkPxkWBHcsbiiKksNZZhYORJIwkozBGNvqvH4SnprQ1EUomTDQ11koMJV1cYvC1oK1ywPjcqkJnje1lmcmcXG9XA7Q8Q1ZKf4u8oKhcB14C9xiwyxtQFTLFaW6VWoOqJFEcsAuQJyrm0/c12X+o0N5SSOd9px00413t4xnMMmuOc6WtvB5rQB73xLN2NiMwiSSRWQrfSZWrLhvxphf3OPKhgDCRILTLcCJQlHxxXAwV5RevaC0jK3JKqdT15dicyIqAM72pMwdDpkGoKJw1k50TO2aVpufElM5VGSelt7Xe2rLm3OW/mhohJq0sxEJvAO1uhFAjdL41R0254YzGVv5gDsjxu6x0lSoavfS9NbsQjweWY+CQJUAXrG0rwWV1m8BiL8wKwGUpuSML7Z2l3vMtTkpzxZVyk2o9L+LoOcV/+9gEQ+mlDF4NLqtzT6obYlWv2KUfZTcgY83itWC91H1i3IBTYxSJ0cSJR5DE/IO39vizexocOatBRVijCaXHwAhUkt1wNt0xrQoRp7ur7o4q+fPKRZRpMVYKZmtTR6UAt7HpaiHd75aBLGVhD1drkKjgo4qldU5h+Wcl9jYlLCYG+iO3O10UW/RUKyYaJni6uiEUa/7omH67hHyr3BCi+GDZ71STIGMW05quGFtIgHFwSyrAzphcq5JrItd63UqNuSYV7zukExp+65MTnFkI3Mg66SGEzAcMjRdVVaTJuINSvqDfgpFyDzyfVlB2UTL/V+abDeTNEFKRxJqt8yPe/eYuv/QBn3bkAgJrJCOUsw0TkYO8HGwiCqYqEtyZY2FRFDegym5ASWW1UaIAt02Z22Y3fuoqOb/agX/83FSxU1751zlvtvj9sslZ7oQzBuLY0hsaVD9B9wZD2r0R7W6E9mTuS1f+8Bh9jxN2RReNAbrM3HIdEJSLdorNXFNw54AvyxNbYW2ZTrAqA7wMbpV+rXTB2hmbZ6yt0opBL4j44F0Bv/mnE4yM5+SJULk8yZqKy7Un4xnYYkn+FmyQXa9ygAWVQK0opZWud9KYtSl847YCr+mYH3tbj+dO+Lz/055LcqBIhGRoUjclyYLMLLOYJVvGluOiztm9J+mAnr0fSarJpUWkzxmorSXX4UKUwZ4C3pYmDQg7xuBVzKwL8PR74yRcPtVKwlRLMDVhaLUS9BOHNKsrktWuYW7GIoWsyouxP1B5WWH5cXkyJkv4c7B3qewyT3+vy95Fd0kZ2DIdVJODW2YBpUHLJNfdqhxkqhgl3azB5RX4sy83WBll4HYA9yT46WStclp+/MYUUMx4GbvxK4y9juVVrst2LF7dsc6Ug81UiyujMMZp7kk/4a2v6vPx+xosdRXICIwiQjMSolqnUrpOa8QvGZuLkl3oas7J8iApqGXG5kJghVt5clDLMrizc5V58mP6HEfDl5TF2Y0wLotLej2XiBKmWrBvh2RuTqG3zGtqUrNyQeMpN/62wj3rkI8o/fUK0McZO/veeAC2hv0KrZ07KaX5J/n+89mOaspeUntnG8C610m6I0KRilelowgsI7xGzF1frfHgU3VMSXsrKUuFVXZMnpSW3DJgSkcFQ+ucyVwHlxI++UZNl6oytBJV8sXjxEObmNuuDXnjLX3+4DM+qBCExArB0GjnjqU3IBQdP2veC4Voyd60zbNSpVVGZoViDtw2c1BK7koG9Ow654C3dp1yjbIB4Za08r2XrznrgL0cWhgLK13B2YuaofHQ89MKZRULUwqLrIx+uDTAS//wJQBeeeOXkCR5/54sAaZsB5ZYXeUsXgW2LHfUjIHbvS60d77FYCZPpDsCL+LISckH7mpxvuu7/a6lG/SuBK5rRrjsYKX2ZM0hKoAfZ+/xRyXRw7hEKY93SGWKNfnXiUlBnki3pWPssbGZ8ENv7HHfUwFHLkgQEaAwSIZCoihnWrMKv7UgrzC5zUYipy6KLGzDTM1k8sTK4t/OasqdVegAnQO+go2ydEmBXVYPogxuWwL72FvOzmFs6Q8TLq4kGJmgt28IqauIcxOWztAVj4+PfBi/RpVIt6Kj1sqT8aPamOo+cJERrLJ3Buyi4bX09RoWXwfcqqy3S+CWCVrGKOWGaI4Sw3//8ARfe7TuiuKldtpbyrRrp9TYW+pBXBNgjjH5uCNQPo9rM5gUQZ7NZs+UymdtSX9bUwK5IkkMsdSoWPOym0J+9B0dfu6/+4xi6TJQRhILj4Eoso3OvrXVtX4c5JWER6ksQ9jUI3ca3YoiMM0DS5HajCXNbVOMVpoxxqWsECnDZwGkyLPlongr46U0OTkkxrDaiTm3GDM0CfqbBw39jmGp4zKAYuzCrPcYZ/Cyzl4P4NXSyXGZUvKTS5agEIXmlpnvrMbck/x7lwZ3bgfmFmEpuJQxnh/zlYc9Pv61BqPQg7p22luqnL3zbfTKCagKi4vSeSjYxx3rNx2XV8kM2IyXzZpUCmTfS4TT3onEyAzsWdDpOvDrjZi3vmzA3V8b8MWHFajInXwjiYRmROGouHH5Y0hZj8lTIGejhByjl4Cd6m8l0zLqtDAu+53xdjabvpYlizVj7spMlewmLLmYosy848nG9HxPT0iuvSxiy+Yhut+VtNuS5TbMTLoU8RrNuF6pyXgguR6LZyBeB9j5XZzXlpS2585Zm3SLDnJJovKbwJTswWwK6lpwK5UgU/bOwK1TcPtexGrPctd9dQ6eqzlpIlxJrMgTOxQTpMo11pUVaS0rfQvhXcW5JV/jy1nEcsVmPnySaq14xuJSKGRikFITjTT7NkW88SU9Htzv0w7Twn5SPY5L5SuogtuuBXnWjJFLlDFd7mbDO4aVEjCpFMl+liWDSuAeZ/SslkWk/np+blO6z/H1LSpW83csQGvJRMNjqlWnWWugZyYUIpIsuE0PczbNTz5rP/sag/5SrC3sOiCgGBRTdiRSZhYlsMt0o6Wy9h7X4NnkU8fiZdlSzLWupOYz5tYxhoTf/0yd3/zYBFZo53unzoljbydPKiUDpfcvSkFUtrzKjLXXLHdr2btSEgpj+tuWnBXyhmSbW4UmHdipMNLkciVKPKQy/Nhb+hw+6/GbH9dEcVpjYCQGwUhIsq1jcy2eNrJULUNRSJT8J4Uuz2SJLfVxSmFx3Y6p5rY2vwEyHV5mdDuGEVLpkzF5FimsN8QzJ3JbxHdYSxTDalejfA/tKYHnuf0hs+IhIQpNk1+IsQv1PwPs8veLhE7R5lWejJTr3AzMAidDRAncqrQ/vSzS8VKWdXehvXU5W5kGlp4fcfi85OP3NOn1PKirlL11wd6VcRDV8XKy/NlLn7/8jW+X5MmZcN2jlMWU5RqVdBBOVs1nBNJIpHRaXAo307DVTHjLy/t87ut1Dp9L7Sgcm8dGMCQthjMpePL3KgowZTZYyt0qx30GdVEKMEul1OmNkzE0pe85azElAjsO9EK2lIGe/a21MUy16EsYVwOeJJbhyDIaGXSzERCFPs26oFFzADQ4vZdn0UqsM551WuuSWNZdvkuDKUUJ3LnWLo8Dy3X3GNhzFjeF7y0LcJdliUvBm3QDpeJ7UiYoHTGKDHc/0OTLj9UhUGlgqZ1zIgv2zvzjzEUp912WO5DWBOL8zz/s2EHFSSml7rO52UYUWtxIEqGQxh3RSPGqF4S86rYBpz7rMTIShMq3eIyFZmCKOKHMiWV3JYsPdCXwzG5O62IEiZsnhE0BLvKiKmchirRPM00WpSxfjNVIywhwFqnr+y2Anv3hHH8l4nUjqN3UtUwSSQzGKoQK0Bs3b1sVjD7Xm9PfLUWMsYIoFkRAjGuhKgetazR3hanLfXnj7DweVBaTkarbftgisFS2FHiaNKAsQO4yljYHtyqDuwL0OA0s0/mCfszXHvb55d+dJLEatJdWDGqEHCuqyq3B7Aa1lYH9lc8/dtNTOleXYu8yi2cAckC2Y4mfVKbIFNgi3agpkypGYoTzxqXRxLHbX+hnfrjDwdOaex+SGL9gcWsEEYohKeAsFYmSFVyVb1llU/mRsrkDc6rfpcN91gxjZSZH3O9kTC6kQ5I1JbyIVCKV9Hkm9yzZKLpCWRTnzHWdxYmbyxjHlthYAl8R1Bqf27F9+6r6/jfN9LQ9e2SqGf+o743coJd0amdcGguRf8x1g6zqpqeyVN9cTrFX60jIXRGpCpYudmuoSpLCFszckqxYyuZ+d5bYWVNYlbWiqQitIk6vCH75A5Pc91jTbcoj/RzgWrr520GpNHZN7XblSNu3FGlte2mchSzVvKvxvtKx5g2RVm9WMrhjGwCk8WKZHKrXwOb/vfOXLXOzMYG2PPikz+qglHVJedOkOjO7aWVp7VlbCbn2bhWX+KoIX8XYj8Wa3xfjTGBLTTJj/+04YbhSWcsotHSHhnbPMDQBB48u/tBXvv7UQX3dZaeREsLQsLIqWFieJIoadPvFWF1rqUoT1gF32TURZTlSzlI6QJfn2RXPpeGOoipLMg2e7Q+jMkCXX2dZy3KF4JjuViomCRI+8MlJPvHVJrZW6O4ye+fj2LKVZ52O+bI8KaeXyxnMS1/Y6g/LM2Uyb7xcZVhuus0H4cjq1h6VGhUhkYkiERo5SHjrKwY8e9Tjvb+jCStRsev3HBlBscNmGaLZ+y40uTXCVRtC0RAhSgFoFkim/6mUTuNa6Vhblt0TWQR3wmQ3q2PzfEQFxVTF8imUaWALDjNhbDm/Iji1IjEqQesR1lr0z/2BJYwlG6dCXnF9l4ZnaPdqdAfazT4p3VxF02jmINh1LnqZdcYHNFaTOBUw56CuzqHOrcHS/jAVcOcAL4AuS0DPar116n1/8eGA3/1sk2GSTsGXRWJHpdIk195y3PteGzyPxyBlkKzFdRXkRVo8Yzq7RraUAZ1rcVlKAMkU3MI6yzCRGKFIhEEYgzSawDP88Hf1uP8Jny8+5uzCTKoAJGiGuRovOwprQW5F8fUagKeZziyQs5JsOpwrrZUlS9E63W0ywEsHZJNKEonbbCELSssknzfKSJEOdJJECYzEgK1bVnnry2J2bxYMR6A/9vVN7sMy4s/u7bNnVrF9OmF6wuB7Mm8HU5mfWWLwXGePMXXO4usAuvz9IqFTWIAyq/moZDBNSYObklRZ5yi5JlLFSJkgZYzSEf0R/OJvT3L0TIDNwC0cuIUQ6R6c5O5NeROstZ3za4HtUm2yutStif1F9UtbgGNNVrPkhRdTYNduXGWELYCeBZ1SuV2NjUaGhj1bIv71j7S5/6cCusP0jacBp3NWFCPIg71LgVyVNUPGzhnAM0Cn4JflVU06ls5TlLlv7oBq0p+5INHmzO3KAWzl1nNWsmtz1Om27Hu2wRtfHrFtw4DtGz3qgecG+V+xYwNKK9qrXVYWDH1P0PUtgRcDzjLLLqTK7iJBnrwpvOAqS4uKhrzUsymBvcrkSpVlS3k7u7I9WOy6K2VRayKzhE4aYGodESfwXz/a4rEDNed5pz2MSLeDshKuYtAldsaCyjF5sl5qPisWKmc2WbPsUw1oSt8re+EmS4PbbGOvIulSzAQZB7vEpn64EBJhJFKkLW5CI43hxisjfvx72/zqh6cIkwx1Iq2Ogtgqhib9HOuU0zobsOyLu1LczEUps3kl2EyBL2VxAjKfPE8QpdWKMp27k4WX+bSBjD9ENsbP9bb6WtCowUQDput1Gt4UyAmMamKFQf/7n3gTU5Mtvnb/k/z+H3+K6ZaPp9Mo3th0wObaUKLQ22PgLs+LFqUMZe6G2CrQ8/+mxN5lWSJsBdxyDNxalcFdPWQmUWoJX3qgxvs/2qI98MBXuHS8B8KNzXDau2Dvcsvcep071XnmqUNQ1t5CjAmS6mo/Xu+Tv86zmuTet0w72q0sba0nS7Xisuj4EcJipcSmtqEQ1ll0ccJEzfB339bnkWcC7v6mgkactrpnQacgkjLdiVukz2l5YK7DRbWFRqRuS4nFU68vZ+lKUJLL//T76e9K0gUldWXye8aSTnGwlYA10+uZhIxiwUrXx1qfmW2vprn5BqKwi55seEw0PKabiumm66r3dNFRP844FUCXGE5dirHX09tlQK8XVOZALhI62fd0CdxFttLJEpn53Fl6XsVIHXPguOa/faTF4UUvzWSVGFxIt0V4SZYUKfmifroixUoSrVKHk17Acoa3KleqoC5n4mxJrown2TLbsDLdyYi0XczZhUYUN0GSsreURZ1KIjQysuydifkHb+9y/Lzm0BmB1RkS3Ru3xiPMV54s+Fof5BZ3vmwqV2yJxTO5koM8r1tx2lyalJKzwM6mmdTs92U6h8cWLF5uqS8PmzIGwljSGyhM7DMY1UhMjSiO0dl2eo2aYKalaKYA1yqbi1JtDC53u5frTfKlvALu4rUaY+qKFVbR3lUpMv5cBnfZ85Z5oFl4334Qcb4t+MXfnuTjX2k43a2qgaVMmdtPV5d8KlRJe18yqJRVYJcxvZ4MudT3y/KkUoS1TmZTrrfzQTqnJNstWQhLIiQicQxujHVsnhg8aXjrKwa0h4Kf/lXFhVUJQZQixX1YazRhNVReC/KM/TIgUwLnmCnhSmptocmzf1aCNUVQmk/CLcmWbO8g0rJaWbn5bd5sPAoFoOgPPHpD118cxQrp+4p6vXa+Uddf2LNrQ7oxqizN9KBStJ5vMCRKqfUsgMxkSO5Zl7zuEpCLctcsYCxKXstW4LcEd+WoJnRkqrtDDJ/+Rp0vPVQv1ZpkBVXOFsy6dfLtCL8NsB17i3UZu8zm5RWvUry8RpNUXxcBpygymRnY811/ixl9tjQc3lhZ6sjPKg1dU4RJu3+SWCOs5DW3DnnTi/r4Ip0eb2Mw6WFjjLWEBkYGQgOREcQWN3DeuKGX2eZP7jXFcPrs69L3XaIqS1ilQzNTCzpJ92AtJ2+q8UbxM7eSuexlZmNHCYQRdPuWmDmGof6C1MH5xCrUr//6r3HHHS9aFVKsJlH0NxcXLxL4Xro7sEx32ho78laxsTEOKbjL7KzWY+pxsFfckizJY6o1J+OyJGfv4lnLog0tkQmf+lqd//s3Jzl2LnB7dYu0U0eloyBKSZ2sLFZLN9S+/PnKOxgXiZy12xoqIakM6BfVhE+WzMkSNipP3Kz9Ok/qjK2Q5eROJYOal0iMd/mPT91yzsfMRMJVl0WcWlAcOqkxdnw5chLIZEFdeoOW0+ei9Lvr2aGi+mVuoBTMMLaaibHEjij+psgTUqIU92QDp9zvxnHMlq07aTYn/9nJE0cfuOnmF7k9ejq9IX5o6A8jgHwD1bVZO1thuGI2dsHcctziE2PsPe6Y5G6JKf1eYQW6IPMS4B6TKpkl6Pkxpxcl7/9Yk4NHAmgWrJ1JEyEEmjQlX/k81RhjjWtS0uR5sJ1fgG9pe19StZQTO1izvianvHFUKQg17kYqHBXp9k9KfyakTNP+zllxgachHhmu3BPzw2/p8tBTPscvlgIH17EAFoxRjMikS/qGSxGgFVkRlkg1dfqzTKePK508CC0Fn5WIUpS+dtJIWFebQrrLHyZttxM23SPU/TtK2HRPpRBMimWAa6+5ilqthpSWixdOl7a+Lo1Oyx2Pse6WimuyHrgziTGmwfPfKSdx1iZ0ys7JWnAnVXki3fiH5a7g1/5wgnseq6cNDKXAUurCFkwLqqpFVVQ6dQr/vgrqnLhKF1CkBu/YNf3WIC9Xp0Klo6ec2cyWbJkletLAU5RsQiltXqcihAs8pbEYLInrwXGaXBhiYaFvecWNI/7huzr8wu9MsZKl8q0oAUyQGMVw/AOVkjm5q5LqsTwBlPZtVpI+FEEoJf1d3Bi29PfdTZBvvIDbXQTcHFEhDHF6x1kLaM3c/DZ27bmK4XCY34ts3bqJ66696m4TtX95frae7iFZDJXPNjkt6kbKrFzusCknZxgD7lpZIsuAVmPM/ecAt1Spa5Lr74iRtPz3jzX57Y+26EY67eAoaW/h5iL6otDeFWDnZQWX0uGXGOJfoPzPDe4y1VfS9BWwF0fO6Omekaa0jWNlT3cjc0bPhwWVjsRop80TRVPDj76ty499T4e6jSEpdHihyROMgaGBkRGERhAZiNNtRYpnp9Er2ttkOxNXd8nOdHmmv5PKz9M9WdPXJt2+Msm/n75OLIkxRIlhFCaEieb4qcVf3rb9irunpzcWAN+2dSt/+sH39ut68dj0pMyLpVS6v015W5Byy5gcez0O7nLRVFmelO2/Sro9B3zZAiyDu5TYKVUKSuECSzzDs0c8/vjuJp1Iu/7KtEMnT+og05R8tVtn3YbiEnjz1xXJUtWM5VRyFejrw92u91xi7mpZaHnnsZJcKe3lbqxkPPlT7NxWbE2YzVQxRhNHmpayfP+r+1y1d4hMkhTYiQO5zV4bjIWRLQeeEOdHOeAUeRCZAT27CYrtSFgHxCWQW5v/GxWQJwXI48RVECaJITGGYSg4cGTh2E//q//Qn9+wuQA4wA0v/C5uvuMtzM5fThzHecBV3qlMjbF1AeCxEWrrdd+MOSUFgG0F2IXdtz64y3UnmeetVIz2Dc8c8fjxX57mqUMB1st87lJBVVbrLQrtnQ/zyeRIxQ4dq22nyt7j+jwHecVG+Vb6pHguYTqVLqJwEKDK1KSZwBz0ogLkohO/6Nu0maNS6uHMjiRUXHdZxPt+ZoVr9g6dLTHmqrhnQ2IgtCUmt85Vydm75KbEJbek2CGt6rAY+y1AnjJ2YtcHuXu26e8abrrhSv7OD30vf+udb85Psc5eNFoz1Gp1glqtNDi+CC7LDF3Yf0V2sggwxyTIOrUmUqzV3HmgmYE3+50KuFPWFml9ScreWid0LfzGx5s8/mxAolKtLUsAF7KoNxHVhE7Z219TcwKXDDQLebI2wMzGS387sVIpR86CSUtei50xdYbw8fqUrBhLCHdDCOuCSmHc+iJFmu1MtasQEoNCCLclZJbpVInlxqtC/v5bevzMr3p0Y+HQYbLokFQja2KTFX+n3yt54vlQlLSC0OnsctKnlO4v+eS5J87437Nug1ZV/nnRse9Oi0GSUKvV2LhhjkF/sBbgvqcJfP/w1GT9yNxsY681o9TqKlLwueWnShKl1Jig/twAX5utLMuRIkW/Ftx5tlIWXfH9BN7/8RYf+VKT0Tiw869L0iRbgSogH6s5odqiVnFM1g0wS4D/9rhew+R2jM0LqSJyYBuKREexEa/NbwJjrds3J7PPUqkiUi2OsEgrSayrFc9cFbCQWHwR8fY7++w/oXn/x1r0ItwJsyJPArk3l4KcVI5Jl0Utg9xKiyqBv1J5mDkspWpDyBJDKYhtGsBSAvlYjYoRrkgrIqHVrKN07Yjn+YdHKspPbS5RNm7awrFD939h41zjgzu2TlP3IwKvOn9kfB6Jrnw93nFT+n1VDihNJcmTaeoc3MKghLkkuMs13londEP47U82+Q+/M8nCkp92WpSDSgduKTPdbXNZkoE5sz7Lenvd0RAl4K7Z4zO72P8Lj1yiWEqgHUvfZ6DOtWyxI0TZKsxHvuVJn0K22Fy6qNKzJo41m2Yt/+pHOvydt/RoBeNBZ5TqcafJYwNDCyMrCK1LBkXraPI431CLkjZP95y3WbBZ1uZ2LHlUkiuVgNMSJZZuPyZoTCO9+gc/d/fXv7B1y5a1DA5Qr0k8L/jMZDN586AhXzAMjfMgqc4GLBoRqDQirLUDS98f/zpl6TVuiciSOkkpa1mAW8qiBFYGhk98ucF7fnuC8yueq3UVY4FlqRTWH9PcayRKmaXlmDQR1dapAtgZ8ItwsiJVKsHnWrCuQTil31kD7HH2plJKm+1PaY1jN2GKXTdMmsLPnl2pqkWkckWkTnsUWjZPx/yrv9tmqSP54F0tqMUFHVpy2QGQGMkIXI15WVakXrg1pRLb9GtEYRuSDvAsrEXyktvxGoiihU7kSStjLInVDELxuO/XPhNFw8opleUvLr/mNex/6ov3DUfhw4nVrquC8dncWbCYaW9TYfZKoFhm90pavpp+rwaUpWBzHXBn0kTXEg6f0fzBXU3OLfhuglMpkVOAvOyalPa2rGjvseygtGuDSCHW6vAKo6+NLcuEfilytyW2rgC78juisAxxkqG6BThVxs6m0pYC0CwITdIaclvuAMpcFZvOHQ8Vm+cS3vVdPfZuH7l9sm052EyK5zTwzN0VKxyTp8FnUmbvZCyVX3JdzBrGLrF1Uv1elvLPOs1qgSKOwoc/9qkv3veO73ntpQEO0Et20Ut20Rk0ieLiTil6JgswZz2ROZDLQzBLYM5vhBJ4ZRpQFixuxjT2OLgLeaL9hCNnPP7t+6b4yiN1qGV13eVkjmNvWXJNKnXe0lYkyHjjdF5FSKl6MAd1YQ/mJCMg32z1L/oo+4WloqpydWFen2EKkGdAzvfZLD2bvH6lcFOy7VCKgfqyZB06kCdDyZ03jfj5f7DKnq2hc1YqjkpcAblJrcOhgTB1UGIjiGwqWayrZUnSXYozRyWuuC5uD3qT3wzZTWArwDel1U8p2Lapxctu28tLb9mz5pTq8W/cfsedSKXCb9z7SZYutPMluFxENc7Y1YCSPEisBJKi7KAUsqRwTxKUMGvA17fcaQAALZpJREFUvgbcXsLxBcW/+41JPnJ3g1CqIplTBnnaqKFLnve60kTaHMSVKklKDF0q06jUdUBFg+f/m+n1Py+uywme8epCyvuRlhg7D7YykNtckrgstkCkcsS9dg5KNo/QGKc3nEzJ3BQQGIRQxFgCHfOO1wxIrODf/NcpTlz0i0lIleyje+8JsuqWZMFnVkor0u8ByqSyplSRqNIT6rrw0879fAksHJYMj27lgo0bN/GqO18Vxkny7QE+Pz+HHzR+aueO7VePeqdeEUf9aoWgGpMZqgTucr13SWOrPI3vAF7xvTPNvQ64i26dOPe8Tywofub/neKjX2wSylL5a6lKMAO469IhbyAuS5PsaznG3mVwF1ZhdTvFHNAl3b2eB/7nwfi6xYWVktAUwOBKZbP/Sy9uWklaSf4YQ1qfkrG5xMg0nrISkWl06/aSFIIU3Ckk0jcexxaN5ftf20cr+Nlfn+LExfQ9lsGd6W40BsnIZNl2kTcqZCOWdWoTZt081gikdbGbTa9J1u2Tb3yVOioqS92nxISxNJtNtm/f+dUtW7f+1Opqd835XSNRglqTRx/8ckeo+sHEeAlk6frSbmXKpD75eD9kaQ53aSDmmjYzlVS0egHupHQY53Nn7K1jzq0o/tX7JvnoF8vMXW49y2p717omep1kzprxzXKtHBlP1Vd3cijp8xKox7X4nxfca/R3ySO3a3T3+JElR6rltJmDkmc9TdYJ5ORJnhQqp/NN4a4kiUIngre/esD//eNtNs9Ea9P5WbYzTQZZC1GqyUfWOStRKlsig9PkdiwplBSSpSpb3A5q2ZGU3BQhBI26l0xNNg5+5nNf7ExPT3x7Bs9O9nDY+/FavXFrNGjfqPPtrrMpUrYqO0rJm6KJ2KR6tszoZozdk1yuuORNAfJCmsRIlZB48FufbPKRzzcJVTn9XrYDs4QO+fgHTzpwVysgx4GeuSTrgVqs64ysB15RfvHtNEoJybaM6lx/l3sSx3zy8pGxZdpiVmbxfOVJkz5COPtCZM0FRmDyQti8XrHUwFY8FAnveF2fg8cUv/z+SeLsrFQYPFtq3EzyiDQWEG5TqtzWx2IEKOHYPOsII6sDF659TQlXuiYFlfNg0xyFpySNRvPJTqf345OTrXVPs1zvmy+87VUoESVbt+2ytQACL8H3E3wvSbfATko7Bmfp8tKw+TUuSZJnKcsyRI05JbJUHSjzAqoE4cEXvlHnQ19oMJIpW68JKqvZSj+TJ5kcWc8WLNmD620HWCmNXednjH2/SM2NgX8drFvWf6zH4DZLfKzD3tnE2WoQKiq/ayq/VyrIMjJ1VYqh+jYvyFL5jm7OJ1f4ieWdrx3w6hcNEHnNSrlepZrWt9Y6Jk+PMA06MzaPbVqjYjN2dw5M5rhEJeaOjCBMBGHsmhtGobMoL9u7x/YGYfJdb3jNuudTX+I8c9W1LyKOBh+yw2f3mfBMM0vFZyWxGTsX2tqmHT3l75sxZi8xtyj73yl7i6Km28mSBKnhU1+v8VO//v9r77uj5ajuNL97K3V8/aLeQ+lJesoSQZIRJhgYi2AMeFgHbJ9h1uEsY49zWKexvcbsOOCZtXFOB88aZhZ7MKwxwcZmjBHYAgQG+0goS0gyKD/p5e6uqnv3j5ur+0lPQkLA7D2nT3dXVcf67q+++/1SK9ZtC2UdQXtRad/EbFdWW4HaowbcTq+aZoC2QQ2SAbJbGtleWBpt1vZwkiOCWxc2JQrIloveeiA4qVUkSN2sSeA6gqTrnsmSC0SAXH1nx6JzyJuQ5ITp4yDMc6MmwbF4VoyvfmgAH6PAvb8vmIqczoLTWHLAEyUA5fdljCAgokAQ45AlLwT1U+eGyfNICdcRtapwPyUE9VSc256e9pHzzln+02IhNx6Mm1twAGhtn8zT0ce/MXPWtANt5WEUcjEiacUDL5VWPJXNVFWdQLvKlGu13RhuN39SAD6Ri8lEZ+jQAPjFwzl88lsVrHsmzBTJdENgIf8gWxLMtvzzCHSWjJNjmgmRJePdLINsx6ogs/8oY2UN0K2FpQa2LRdqkGSsuebdRjZUQVeOxba08WyAlpvmpnRyJRtagVk1DwumJ7jhfYO44rxRSYzTJtKh4uUpIHmzkhFrTHo+pQWPZV5lbFnxhAFxSvStLm/VhGCkTrF7COidM//APQ89/Y3e3injXRDHt+AA0DZpIdL4ENLhBzEyWkWSBHqfKZEs/nZlpR3LTphl1Q09IdZjSozlNtVfUxBfgPsfvl3B2q2RKPXQ4MQxdU2ItNwhlbVNaKMsaCcwmMQG3gBiuyyblgeRAbpruM3jDLidkNosqO177m5vKhcqHkqyhfJVwBVMUgGFToiAtM5ElogQ1ptClWQAt1QUwkE4NaUf1MyRoh0HgDrH4pl1fPG9g+AA7nm4YJlMbnFy/WugegWp+KyUiZj8VBqjlBB4TCglhMp4GseQqNpfwFgM0EILTjttLro7Wg5rOA4LcC/srSE99O5S5ZTbxsa2Fj3qmTw/DQz5WNEQBX5JR4gFbgN65Za3FpaKnngp4AP3rsrhU9+q4OltCtxuZKC23pC8m5pWf9lYkyw1cay0pZxkFRQH1BbglaMna9VtykKagL0pyNX5J67lBrG6H1v77DIKDd0g5CVfeuJBLLlNLUJ1AJbMhCeEiBQwnaIkM5J0pg5vmKAEQFoHTp1Zxw3vGwRjwC9XFcyfYWfXqzQ2CXYOKhIgiIifCggRwYLKGEF8T08ZJIkzlZFPACSM4bRZXSOU4t0L+06pHTPAk9oB5ufmr6bl3ODItu8XC9EoPI/rfDiiwJwBPLQVZ1phscEtAJ+ae8oERfEY4AO/eiSHj329gnXbIlmNx8vwbaN1gxL4ippkY00s7m17Lh1rngW7DWbSCFRXD7cSYDMAyELiSFjP2jue3c7dfYa2qDBZLjVtU5ReWHABaiUjEgViLnRxzqi09gKLjNmTlmtDDpms7PyOOrBwRox/+uAgOAh+syoP7WpRM57q2Qa7Fg2HcOenVFwbfE4kwK3kE4jfQ+X7UXAEhKOn4uFj//WvBhfN7129f/8BhsOMwwIcwTTQwNufJFvf2Dn5tN8lg78NqOdbJ1EVKbfADWhgEwVyYoFcA5uBEENLCE3BfYIHHo/wka+1YMP2MANuSw7UVMXl3R6xF5euFScN4HattJ1vSQ7zWJ+7LBVxJsIESbiy3M12cUNddC9K7lp1Btn0CS5XZwy6Zzy3QMsp19abOeRJxpMza0lGRDit/qKyXAhTdIVAALfOsbA3xtc+PID3JcDvHs8hBTcURRf4saev6thJZQ6pjIblyqMsziuBCVWm0mGUxAmuuHhJnKbsjT1dbfu725vLg2rQw+2MIh9JdQMqHTOe7eqZvbVS8RAFY5mGqom1qDTVXE1ygh0ZaEcEmhomgpYQ3P9YhPf/cys2bs/J4KkMsB3rTUycida77domVsWtplGDjQtLbb1hARsZPu5QlXEs/MTg3YB1m2rYILctNvRikjhWXB2jFqBOpg+35UNbLrTDaLPdI4zjh9v1VbiRDVnqgzEfrE4xd1qMb/33AaxYXoWXyoUnj+VNhdpaWUI67FYsQhnjSGS2UJUBYwwYtW7DjGCgxhAW8zj9tLlb582d+ezqNdtB/fDYAS5OmAeM3LE99AevzVcWgyAGIQKsgZ/I4vKJ1qyNKmKoiB3mSmyvJUnhBQzcB/5jdYQPfbUVG3dE4AG1pMBsVrwL7tBSTHTqmXLqUAPkLPduqNAFNNCS8SrJQoHbPHQtOjky0Hn2CW+y3wKxPQns7aYQUKNOzqybq6hAA5mzxuNMa0Krgm3mxnWnZZHAzOoUc6fGuPEjA/ir5VXQVLotOTNA1rfEAr6JLxexB0wDXoCeS7UF4PUYlyyfhbGxwWt/+O+/3u55Ho40/CMekJuDNB4C8Uu74rH7H6ql21/lkwMIowQyOxCc2/OEQ0UgisUnA4VRTDTASQovTLGj38OqP+Vw3Q9asHG7De4s7zZaN5Fu+FCqJa4r3uLWQBPeneHeyFjvcWgJshMgE5+iLvMNC7LxaItaPDaA2tx0TRFrcSnUBZuWcA16wQa45tP2JLDVElFfXKw51JcQdEQq5VQtRqmlTTZOTY+KvEjAExpLAsybHuMbHxnA537A8OhTOew4QIAwu8KgEDloHKbPIDV/Fs9+liiQ2julFa89/4yH/vaqc3YNDI2itaV4RIAf0YIDgBeU0b/7D5sT3vWNoLQMlIzBo2MoFMYQBnX4Xix0a71glFk51IoQJMxy4iTwcgwbdwW4/jsVfOCfWrGhAdzWQlJbbwpiLyqb6N2mS4QdGmuDmDdJZmjk2yY1jTSCWuLV8V5aOG66/TDDSIGNC0nWhKY4UYVWLIoBvWu1haWWBlLHqVjHOFZ8HMutKY1749zVynmdYt60GN/82CF89r0DmDOlBtSsTH37nmeoCpe6OY8BVgPiMdCxUfh8CKw+isvPXYDeSeVv3HXfY5snAm4xNSY48qVZAG1fXc7t+/nvVm266rePrsOy+XVcsrQO3w+QMg+q4idRixJwba3FIkVSlxzH5ud8XP+9Ftx+fwHV1DMLSmLzbgvc0g3vAYicRaUbLagjBZu65cdx1We5tzQo2ZBYw0lMOGwzS68WjxMOJ1THcus1+rFlpZWBU5abmEmgClMy6S1SUiEYQKiyxiJ4hegYFrHoBKSkCCpeTyFlROk+ZKqYkbhi29TMrkKlttME6G5Ncc1lo4gCjs9/uwVbnguASP0wayoTQDdi1fcc4AkKXg2XLh/G/L4aRvkrcPqpc35+1hmzVz+3b2DCxmPCAC+UTwGvr9+OwvIP3vnIeu/2+9iVDz61C69Y8Bx6WlJR1RSw5ENJR6Tl1o9DYMuzAa77XlmAG54oDmjTEGpbbl/rd1lPpW/JgFoSpOMDWdf6a6aUZLk3jMXWBTft16lTagHZse4w4mA2jNYBqwV0K3nepSdNgK0jl6S6wpjq704s0Eu1hRvQaxc+hHPIRariIkQUpJeBWZwyMRG4DXYYB7xdek3+Il4DIp/hjSvGAA5c990WbN0FQPkKORPnmcOyDtaPZhwd5Ro+8KYRLJrZhoGk5a5D+bM/uG7HMzuWLJh5/AEOACScj5/e9eiOi889d83Tm+pX7tq3H2kcgqUi7JLIH020JGi8lIRy0BB4ZrePz323jJ/dX0ANnkApaca1Xa1blTk2JR9sT6UBtedwcYt7qzQ0h65AOxGcPEwFUmLAaRQVd5+eCOZfcs/VBEZTQHOznejoQotXw/BswIpVgXH+qFhvJp0nSi5ksPi3jB/RFp+bbHzDzRVvFq9TVwZnBUEBwj3RtAyirmWaADmf4eqLxgACfPabLdi+G4KTC3elNbnsy6Ywbp4fIfR9kGABenpWrOlhD+0oTzr/aCB7dAAHgMVzezC3b8oNT6/bMqst2PFmJGMYq9Xh0RgeFdcq7b20wF3nFH/8c4Dv/qyI2+4viG5f3lGAW1puXZGK8qahr85i0uLiJAN6kGZAb5LkANe6Ay49sYHclHofSUrJWHYuP5uDO9bc3Lv0xEiKslYh4HBy0a2My/KBAuhUOoFU6xJDZ8QXMn3NZFKuWoASWX4CEG/CqV68CieQuIIySVkUyEOf4c0XjQEM+M7PinhyfYga88wKUP9x6o/2gCCH4SSHux+Zinf3Lv5pR/srbhgd3HG0cMWRdZbM+M63bsS8RWfXgtwp987p2nVBPhieXoiqmcQFbmRAn2MMBDffU8S7vtiKJ9ZFiAl1kxUsD5ddhcpOXIiIXSzT1DVx+XemUqyaQ9ZzF/jCqZDt8ami1pxjqenspV5HMvtUBrtx7RPD753t7iQbLxRXhQ7o069eB2jvqW6foieioUX2hLTfV0uc1hUK2edqklsfTuzvQzJz14q0dK5nREw2HxwL+hK8/sIa+gcI1m/2ERs3KVTHN8jub9QL0F0K0FNpf/iaty5/09b1a4Z7pp951AA/agsOANe8+TJs3fL4KPil9X07tqDHH4FHqXXCZP+cgGM4JfjxnUV85gdlHBryYdA0HrhNVg4hJqfS9VCqlDPbcmfqnGjr3Bh/Yqw8adyOZlk7EkSEuMbGPr/Oyc/uOcyw41CIYbHEsty2euY4gdTrrEpXovUe0TQia705MxSFMkv9o6pSLeRGImmMkgqFax+yqhVRlWVVPhlzOTmFCQ2gVPh9fMrQWU7wpfcMwfOAm+8sYiSWJ1jH2nKApaBsCHNmteGdb3tN/bE1dPSspZcdC1SPDeAAgGg2OGePbTj4qrMnd+zItxe4TIEyqWib9/i488E8vnSTBLdPNXibgtt5DndRaVWicmqV20DPJi3Y4LYXmLCOo2ZbMws4ruteYpfYJg2N6sqRhq0MazBboNdUxHLLE2ICrhi4rjjsdoMAGCVGD4cBOlV1ttVEUu/l1P+mIMKnD1XAmKnLiqq3IjOCCBgYkfVW1ASRIE8lV1fUhXCO9lKK//muIeQCjrt+V8DmfZGYMb6kJ4xhcmcV17977tiZS3sfI9q6v4AAnzW1Fdt3j336wnNex6OhtR8eGF6fi0KOIB/DDxhWrQ3w+R9W8OCfcqglnvnyhDa5eZl90LVM/KYRguNwbvtGG93zLqiJo4c3j0Ux6WquwydLC9QO625ihls/4fL9bK6tAUPQwMcBA3zTao/L4CvxIioDsABIqdD6ZGtxqTi2UkMIpFFWTaFEvTVp2Zkoqp9ZnFIwqcpQ/T7iIZcLT2VoRNJleyHFF/9+EJecU8Pnf1DBI2uL4vgwREAZFs/rq85d8F9uJCT3GUIOHxJ7uHHsUwNAb0+eFePfXJeSBV8ZThbVU0YRBCn+sDbAJ77djl8/WkQtDqxyahaorYAbvU254WGXN85GCHKHQ9s0xWsC7mYSoKIgTROK4W5z+KgFZjUBNOitWxPfT3OE20+bRVwh4+CxJEAg69yxaqbYRYQs97yumcItK89UgoTt0GleflnHpTj7TRwLV8kSTlodBYd0CHGTRJGkHiIfeM1ZVdzw3oM4e/EwEKegnOC8xVPri/r6vvKtf338OkJaDhsteKRx7BRFjsFhWk8x+8ul8kB9f/+m679/V57+34da8OSmSAj7DjnVZXQawS4lIgLjfg8syc8u+5BVTzwbrJSPY9GzC8KsikKOPAkkXBuAng1MsR5kNfAsqO33Uc+N51LwFWXds5ZevYdRSyyZUFIUgIsObGq2qBww+XrBy2XD1iZUxbjsDV3Rv5pCyolUy5CUSktOqf4MylWPSw/gDEz+mfU6B405zlnE8M0PD+EnDyS4+/EymzFt0vXnzOv86rbdh+rPF58TYIlHHs9sugVdbdGiX/5+15/e9tknvZFaBHgJgEStgqx/TJlERUlst7wAtlJMAiIbQlHpkpf3qqqtiRZ0+3R6FlCViqKaQ40nJZr+5+a5vRglDdutCUCJe6/UFGominqdVmOsiaO/o70mICZYzP6uRE5ss6bg1uuMo0tp/25KnqovyfR7qOoIRFUJdqog2Nvcktd2JWAVjuFUB7bCNlQWly4wJMOqVUAZ4x4o8XBoKMUftl+V7hmZd3rkDa+99i1veN7YfN4WHACqmIdCR3lTVJzynrf/det3b73vCdo/6snlepMrjBL0FT2R84w2oyQWNWnQvR25jzvWmsCNQdGyX4PlPjy4nfBYZNUVaPnMWIsjJzdkh225SRMrrdad3PJs6xIRkAtNGUTFZedjAqFzE9m3B5SDwuo7SaETkm3VQwkZhBEwCpAU4gKrS1Go36iuXVQcJ7OGIEMCCKdW6Qt1rkWNCzvuBqCoxwEGh8vIt13ALnjF4vds2T9jU0dh3/GA5vPj4GrMn7Mcf/yzX79ixTk3BbnwozOmtCHEKKjO4vAtIKvLo0KItbDEONVf0dz1rrXtbLYOsgtP12o697D2WadOAauZ59KmH8flEmiBORtdaKqVNAu0spQT2HULoV2jOhFZlSrWHSCIpiN2ojKz+bZORraOV5WydL1DE2LLOW0sbQGrwop1rIhdEtQnjqvwow6AhB/tmnLBTfOnxPW5c49e8242josFB4Blp8/B6rW703dcfeWWC88sDa1bu6588y+BdX/pkP2eYxEtBu4iw5LlfAvkvkU/xrXUTTl24/Zm4M7y7nGfa6CTBrArrGflxWNFvS0TNou70p51boUsyR2mIwQxkiCHFPG4tNBE6t3yOmOVXqPUkmuUpaaSe3OIRGQZqCXEFCkjcmKSmQkxllvFrgCmrKC8PHFOkKY+Ap9h3Y4Ev3lyEq58zcVDp/adv4Wl29O2rjnHC5bHx4Kr0VLK47TZu++6fMW57/3oO6/sXzK/A5FPQYkPxJAVShnM6TErLA/QKWcukDPxJtS23BYHbQZ6h/tmnT2HoyVZsDtLK/17GzLmFci193BiSHestg1e65O0wmdbcRgrzhwlhUiFxOqGbFny1CnvZlttOJbahMxmrbt7FciWkINlvVVgDYEoEhVGCUKfg7EQA8N5PHtgGmjLNf2Vrkvf+6tV5C7qFSb0n010HDcLDgDzeisAgOGR/ltyxav8FWdPumFg/8quLXsPgNWGwNIYu4cDDMeRkAQloogCN5qEumoA8ibgHc/B4y7+Gj2ZRwJ34w3jbNNu7KOkK9oqW0qKvdOx0JltgGqFYyw3IFucyERhgMgemYZ/25ZcrFEMHzf6t9LOida51QSBzsZXk1v04iRUFfLkoET2CILh2iCA5zHU6gn2DgNJQjE8FCFlvVh+5gX7Xt114Sc4q99y2TmdxxOOAI4zwNUoFdsxMDDwL1dfcQ5tC/u/NHLol12dbQcxktRw460tePjPAZCXv1xG8glwc0cGzEYGeg7oG6MGnR7zNrgdmjIRcJPGx4CDRKvQgsvZm/wf41lyldACWJSkSQAWkW9uA9w4DYmsNqLeR1jMZiAnch+FlPeYC3JieSF1yKL+ZfKXaOeOyhIismotdBQigaWBy/bIYZhi9QaKG29tRX+tjM5iGX9zxbJ9Syav+BRj7F8K5fYTAcXjS1HsUalUsHPzypvmzyp+/Lwl0/qX9BVwzqlAdyUWKdSZxWVTbRtwaIpNSxr4uQY3ceTAYwU3zYA766630awe8qPh35ZCojdZC00nTjyzsDTbXHpicjOb0xVuWWNViVYnJVv0I7UeM64aucrFpaY4ZsHJOW1CVUztRC7jV/YMeFj1p048vqYTw/Gs/v1D+Y/fetv9NxUKpQn+aS8igAPAwiWXo5TbfzOJet8/xhYMjQ0SjMUB4IdS+xZeSydh2Aa6o+26YCYETRaUxN2WATc9LLjJ4cFtP4e7+MysKMY35eOMbGKxesOGWijyTcfr22ODfCKcPNvEKrXBa3Fu7nBw6u53kpVVCpzVkDaVnSOSADmfIsiluPDMqUNLFk15/1/2V29+x9++7kRC8MRQFHt4HmWlQsdPh0arySPrT//x6g0Hc36xgJSKRYhKO3M9lOPIgSQbQZix3A28vZFzkybgps0oSQbcelhqiq0ANUYXTnCBmRGVstttF74UWFx5xRqMC93bRHMbTs5lkJV4I9lqRdYu4bIluKfoCgDd21J9nMp7kBo5iIpOlIU9idu2kGor7iFOKAaGPJzaO4p3v7m7OlCb9N8Khc7bk2ToebnhJzJOqAUHgClz346Hn96dTuslt2/dN/+aZQsXVdvCFKHlMqdNlBOHmhDXe9kgB9qW2wK3mBDSo6hvRDfVohlwO258NMp/dmuSDMY16hwd3Z4X9p/CGzfatETfN4lXyRbjNOqI1btHxZhYNMT0ireLbVo6uNXWz+2Y7N7sJlZpk5IT9g2Siyeph/5Defi5s6qvfdXUa7ySf/uiWVvT6z969YmG39EnPBzLuPXf7gVrfwdfsPTV673avg2E4PJNO/sDxikoJYioTGbQSQyqw7K4+aqjm+WWNyAdH9wmSUFZb9dDSRX47WMdijKOLq5Abu2H9nKSxsmQuUIAaDKRXNeA/hxiTZTMZFKPGuO0SOYo64pCrD2SXplyF+a7qSUpxpukxPqvYQyV+r4qZNr3YlAagwcLRhMy522z5px9+6JJu9krz732hYDeCwNwAFj569tw2mnL8PmvrXz67HPnbCsXxi4aHDyUq8cB8j5BKF3xvgSyvvdEfyA/A26dxUMbdW7asJ2gMbmhSSzJEWhKFtyADU75Gko0N2/YlwU4xgG6BWjzeVmUSQuZQZ/h8FKHJtnpAA1q+3eoCWqD37wh4H5qo3SqZFv7qhz4MeK0BhJOGejqmvKurln//NO/bF6E3oVve6Fg98IBHAAeuO8O/M3fX4tbbhhbc/HpLc+VK9PP37yjVkBtFJEvMng8C8SBBW7bojvAtemGbdWbHaOAT4n7fNyFprUNNsgy1WX1awygJgRwGyRqG4Wz351UFsqgsGfgm7Xkar+7nTQ85noWWPewnzcZhBhAq3AJGcnJOEWacuQKFeyrn33gzsdmf+iW+9v/7dJFfeic+YEXEnLHLZTiqMfO3QMIQ/+dd9zz+y//5I7fdm3fPQxOqCiD7HFEPkfoAYHHJUWBy52zkYE699KmJa4q4rrrGxeW8rzJP4ag4byrE2seajALv4i4XjeAGi7PBxodUzbAbWtuf477/eBaeL2fN1wNnLUOdR/bUYa0yb2KUnTas6tW7j5D4DEEQYrQTxAEokxfnAAJ78SUWRft65x8/icZS37khcffiTORccJVlPHGtJ4KxkZGfvSON5xHogBf+scf3t+1d/8w2vKeKAdOpPX2oAFuW+esTJhVS1xO3Szc1ZX+DJiJwwIce2c7ehoow/EZTgyKHZsiv4sdeWibZu0Z1RKmjDkhZuJwiGhDSgBQoov/UEqsuBQu94kYccq45uqezNwXsSai9hslHJ4s/+DRBLlgFKVSC1B6zb5S14pPVWP+o3w+N+Hff7zHSQM4AOSLRew5OHrTxa8+KzlY5V/70e2PtO3d048iSzVFCXxlvV2LTbLAbhIaqyxmdgIQC/yQnlTALBazwM44F1/wYcArn9thtLaMKA8S98SKkJRNXh1eJUtfU2J6z0uPJpc979WH6NosROZ/KsePcOPA9xgIGMIgRa7Yg7bJKw4GLWd9DKT2Y0KPPd3seIyTCnAA6G4roFar3XLN5cv7N+7o70vq9a+sfOCRwKdA5FMEPnESAgADbOUosgGfXVy6IHdpiW3JAVfWs8dhaOgJH7Yenv24rIhMLPlRYjzzW7kGLAcREYQMZmZIkItkHBGTwvV/JhpHpYxI6mICuAhJkYsYyp3nxJ7vf9wrrdgCUryH0JNnufV/crK/gBr/8egGdJ8yKXx6zca3P71mw3eeeuopwpMa9T3qqgrWvc1RjZu+Obid2iXUVUWcchD20DmPfNzvrTj28eLgKvmgYWHZZNiNqxq/E4xkp/4j7QG2g9RsTzG3MqBU12fuvp/1OeIYhnIpYH2zF/BJk/ve09LV97/jkf31sHTGyYaUgsyLZzz2xNMoFvL5jVt2Ttu4Yf2b9uzd84/PPrsLvu+ZQH5lnazXKevsWQtQDW5LSdGWjKoGR5liNZr8wsRXa3d4c5Db1n8iKsrRLDKB8QFuu+mBDCe33896fzfUwQ49bgJyOQmaAYZx2ViNp+jo7EFHR9dnZs3qu63cOm1nHFfHOroXnmwoOd/3RTdu+T+3o7u729uxffv/6O/f/+lntu/0Dg5Udc07ArnYAcSV1ZEDjcX2FKibWXGHshgVxSTzcm29uUrMhTnGVTOsq8ERdPAswLXDBAaMVE26jGJiW2uTieNu1/zcnjgNDjADZicEQitVXOeDivc0BTsp5UhShlqcw6TuaWlnV8cXpk+ffv3ePXvTs847sXElxzJelAAHgFt/cgfe+pbXY+BQ/xd+8auHPvrbBx+P6mODYkFDKJKUy+LrUh6kBJ5HtPPH00oKkSfOLaWmaUrWesMCNRc1/LjsNqASDPSf58h4zT2ZWbCPa8EtkKuc0gZZGtBg1q54J+Aqc2KJC2xbedKqlKIrlrfY97gGOudAkope8pwxFPIEHe0FdE1ZUpsx5/z/1dXZ/unfr7wL555/5cmGTNPxogU4AIyNDmPr7hpai96XNm/eevY9d99LfRqf3X+w3x8ZA6p18Qt8Cvge0QtSz1POHGO5jWxoHD2GhxOHCghQAynjYJyDpVyCqYlTXINcqjGZqwPQGO8itjXRqQG3OL/1/mqoScZku+uUG7CrClaSNLkOKwvYxAG40rlF+Rrf4/B9Lv0Pgn+PjBH0H2IoV9qTrvZw1bnnX8S6J/euIjT+1MBgCa2VExfu+nzHixrg9vj1fb+E5/nlWm3kB1u3bb/6gUd30IGBEZTyPqKQIAoJAglyYcGN9RZAtz2YdnkHw3sBF0DqKpGkTPeMycZJNVARzfVdgCtrqmkSsk6Y5o+zXFyDm5k+7mkqup+pOuCAkUJtedR1lNkAN9Y78DkCnyMXceTDFGFQByM57BmYxrp7Zvx7paX0d/U4Hrrk0mOrFfhCj5MuE050XHLpZTiwd8dQpZR7/5OnzNi8cc/qxZVD/Vdt3bIFna0+PBrA9wh8j2hqQizr7dlgp5b0mJEgAQluKc2lKWSpBSmbyWOMdRUqNQGc2Ewuy6cdUUokTZ5aHDwLdHURUa1NBNAZ0pRrakUIQJirGnnS0eNxUdnBHnZZZrVYB08Q+mOYMrUXpXLx5/Ois9cgmP51sLGh+fNmnGw4THi8ZCy4PZ7esAOtlVLvo39cf+O69RuvembzOsS1YeRzAaLIFxWeuM3PqcPP7cRlZdUU2FVX4CQBajFQrTHU6inihEkawB1rra4MhLiLWJv6HM6CU4qGBWZDQgc17nfOgZQTxAlQrQHVGkctTpEkXC+M7XUGJQTUM1cwjxrAe56Z2JyrbQyBl6Cro4jFi/swZWrfz1s6Fn4oqQ9tL7TMONmn/qjHSxLgALDzuf3w/WD2lq1bT0tqYx/csmXT+Vs2b0ISjyIMA9Rihjjm8CRt8T1rEWqB21OLK0+BTZQ8iBNgpEowOMQwMhajnjAtU9IG8Lg8PwtwW7lpWjoOmecUehKKylKGKxMiEhvqMcHQKDA4nGK0mgiAw5IDJZjd9YgEuUfgSy+x7wF1OZGBFF0dLZg9ezb6Zs9e2doSfv2UyTP+nCTJ5iDXdbJP+TGNlwxFyY5pkzsBYDPnfDOANQTpKQsXzPv+vj2bZ+/a+Sfv8bV1EBCUSz48anlErfgVTwVz+XJx5Sl5TNTX8yjBwQGGodEUKTOXb4+KnuqqxsixuDQlC2kY3NqnovU8HVUpJiIhDFFIUa0RDI8mGB5NRSY7MYtsnwLcOruiMi3XiQkEFKEP5COGfBTjL3sJXnnmGenS0+dvTpL6uxYsWr4LwEZyDL/txTResgBXQ56AjQcOHNzIWHrpKZOiKbPnn/qzJ599sMUb3VWkpI4wBCKfy+KURsf2KOD7QBhwcfMZAp8h8DmiMEVvUMW+QYZn1hdQKXKEPhD6QBBYjp2GeGk3Wa1pWYgmQ2n69rGGsghVIww4Ap8hChgqpQTP7E2xZoeHnAfkAjFJA58g8DmYT40nkwoRPWEATxhEgXwO3yNobcnh9EWdIytec9HgoSG8sXdm77Mepdtf6sBW4yUPcDU6OtrAOdve2dmx87n9Q4ve/Dr+ynLEf/jszq3Jvj3b2utj/WVKEgyNCm4d+FQDJwoYopAhF6aIwhS5MEVruYpKuR+/ejLEtv0l9JEExRwAGZwlFm1y2AtBBxfCHtulH4DGhaN1qJM1r46lRFCJMGDIRymK+QTTuofhB8PYuK8TXbkQ7UWGXACEARAxKRcSYc3V94sThrEaQxj66OhoHzpt8bz+BfP7/Eo5vbaze8YjjLYNcMZZ6J/wTMYXbLx8fgkAInppMsTDBxf2Tb6vUmmZe9sdd/ZddvkbvnDGGUvWTp/a/pTnF6sJj1CrpyBgCAKGXMhQyKUo5hKU8jFaijVUSqMo5MdQZykOVYGhKkG1zpGkXIaMqs9UTh7lSBL3CqxK2dCeV1gAl49VPqbOdNcxMEQfT6mgULkwRSlfR0tpFKFfRa2e4ECVYmCMYqhKMFbjqNY5qjWGepwiTURk5qSOEnq6KtVypeupZUuXrX3rW67+wv333d2XL7TMDfPT7zt4sH4woORlBW7gZWTB7TFl8mRAxMmN7tm9E9Tzv0I9+hWSn+ctOLX4nVqtNvfQgWfPQ7LHK0YjyIUJIr+KQi5FuZggChOEQQxKErA4Qb3OMBpTFNNUdCtQbmvpmvcogUepVj20p5Eb1YXKHVmlxG75Z9N5QkT5GGaFDHpUUJRcGCMX1RCGCQhLMRwDUY2innIkaYJ6nKKlFCAMfRSKRcydMzVdOK/34Xw+t3Ff/9B7du+rprl8Dh/5xOf4tOm9oyf7fJ3I8bIEuD26e6YBhk0khw4d+rsgiNqGBvu/uO7PD4Tx2Na0mA+XRmGyrBxtQ7XWj6HREIUcRxikKOeqSFiMkSRCuyqjQGylQkqQHtGym3KfpyxFmorFn+8TeJ4HAsP9KTGOmiSF1qG5Zz4nZUqLB0CEjBeFCXyviuExjqTGwXMMHHUcrKWgQQWL+jpQCMkTcb36xzlzZnpXXnFxvaur4x+q1frBMysnNz77hR4vj5XE8xhb1j8IcHK+741d0l7a9cZtuwfmjQx76IqewKHRPajWhvDpH3XiiXXdWNBDcUobRUuRopT3EIUUQUAR+FQ6mURMBwEwPMoxOFxHnAjlIwo85CMPuRxFPgJyoaAc9ZhiYJhjeFTMHjVZhFdWcOpcCJQLKVrLMTpbRzBt0j6s3jSEL/6kjMivYKg6CW+9dBZILsDQaMeGxdOKP2sth79mHCtf99oLT/ZffFLHy96CH2n0zb8AAFbydM9K4IyHJoVJX3V4iI3u3sT+MjBl5orlPZ+89qqdKJUngQ/vRRofBIUvUul8qoOTVOZRFAKlPEdbuY6Vz6VIEqCUF9w8Cik8AkQBRzHPUM6nqKcp1j5DwROOfETE4tcjYD4FB0HKOKq1BJxxhH4C2llBobULW/qB81+5EDO7t3z5V79Pt73pta+i3ZMq9OBocQuA+2ZOOTG1/l5q4z89wNUgXjcA3KeeDw4cwNSF+VaSbFs1bcpqLF1UjOdMWfjhfMAvzoUEYQBsWPcU9u4fRkvJQxQKmuGRGJPaBjF50m7c/NsKUA0wqSKK5QQeRzHH4FOOYpSgszKGajqAB9eWMLMtwtzpBUS5CHHMQSlFPkdBvDyWLV2CYsFDKc9RLLDfhKVdX5s6NQzOm3omlsx73cq3Xlk/1N1zcpJ6X+zj/wN8nNFS6QCAQwB+AQDbd+4CgPXgabdHwcBT7HluE/b3VxFFPnIhx8BQPV76iqXXdZT3XtHW0h4vW9IGXgvRVgAqRYKWko+2Fg+tJY7WUozWlhpq6SCWnF7GjI5SsGBGy93r1z11HfX8gFIPYUDghQXMmbsA+VwI3+c08L09wJJt17y+52T/RS+J8Z+egx/PsWn9KgCkO+DPVHLRPv7Deyvg9RAteY5ynqBU8NFapmgpMJSLCcrFOurpCL53dwmnVIpkyfyeAc74notWnHuyf8rLZvw/y4iz/46+xa0AAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMjI6NDA6MTkrMDA6MDArOWKwAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDIyOjQwOjE5KzAwOjAwWmTaDAAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 71962111
    {'hecke_orbit_code': 252201579166311730, 'n': 1, 'trace_an': 8}
  • id: 71962112
    {'hecke_orbit_code': 252201579166311730, 'n': 2, 'trace_an': -8}
  • id: 71962113
    {'hecke_orbit_code': 252201579166311730, 'n': 3, 'trace_an': 0}
  • id: 71962114
    {'hecke_orbit_code': 252201579166311730, 'n': 4, 'trace_an': 8}
  • id: 71962115
    {'hecke_orbit_code': 252201579166311730, 'n': 5, 'trace_an': 0}
  • id: 71962116
    {'hecke_orbit_code': 252201579166311730, 'n': 6, 'trace_an': 0}
  • id: 71962117
    {'hecke_orbit_code': 252201579166311730, 'n': 7, 'trace_an': 0}
  • id: 71962118
    {'hecke_orbit_code': 252201579166311730, 'n': 8, 'trace_an': -8}
  • id: 71962119
    {'hecke_orbit_code': 252201579166311730, 'n': 9, 'trace_an': 0}
  • id: 71962120
    {'hecke_orbit_code': 252201579166311730, 'n': 10, 'trace_an': 0}
  • id: 71962121
    {'hecke_orbit_code': 252201579166311730, 'n': 11, 'trace_an': 0}
  • id: 71962122
    {'hecke_orbit_code': 252201579166311730, 'n': 12, 'trace_an': 0}
  • id: 71962123
    {'hecke_orbit_code': 252201579166311730, 'n': 13, 'trace_an': 12}
  • id: 71962124
    {'hecke_orbit_code': 252201579166311730, 'n': 14, 'trace_an': 0}
  • id: 71962125
    {'hecke_orbit_code': 252201579166311730, 'n': 15, 'trace_an': 0}
  • id: 71962126
    {'hecke_orbit_code': 252201579166311730, 'n': 16, 'trace_an': 8}
  • id: 71962127
    {'hecke_orbit_code': 252201579166311730, 'n': 17, 'trace_an': 0}
  • id: 71962128
    {'hecke_orbit_code': 252201579166311730, 'n': 18, 'trace_an': 0}
  • id: 71962129
    {'hecke_orbit_code': 252201579166311730, 'n': 19, 'trace_an': 0}
  • id: 71962130
    {'hecke_orbit_code': 252201579166311730, 'n': 20, 'trace_an': 0}
  • id: 71962131
    {'hecke_orbit_code': 252201579166311730, 'n': 21, 'trace_an': 0}
  • id: 71962132
    {'hecke_orbit_code': 252201579166311730, 'n': 22, 'trace_an': 0}
  • id: 71962133
    {'hecke_orbit_code': 252201579166311730, 'n': 23, 'trace_an': 0}
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  • id: 71962291
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  • id: 71962302
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  • id: 71962330
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  • id: 71962333
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  • id: 71962334
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  • id: 71962335
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  • id: 71962336
    {'hecke_orbit_code': 252201579166311730, 'n': 787, 'trace_an': 0}
  • id: 71962337
    {'hecke_orbit_code': 252201579166311730, 'n': 797, 'trace_an': 0}
  • id: 71962338
    {'hecke_orbit_code': 252201579166311730, 'n': 809, 'trace_an': 0}
  • id: 71962339
    {'hecke_orbit_code': 252201579166311730, 'n': 811, 'trace_an': -48}
  • id: 71962340
    {'hecke_orbit_code': 252201579166311730, 'n': 821, 'trace_an': 156}
  • id: 71962341
    {'hecke_orbit_code': 252201579166311730, 'n': 823, 'trace_an': 84}
  • id: 71962342
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  • id: 71962343
    {'hecke_orbit_code': 252201579166311730, 'n': 829, 'trace_an': -64}
  • id: 71962344
    {'hecke_orbit_code': 252201579166311730, 'n': 839, 'trace_an': 0}
  • id: 71962345
    {'hecke_orbit_code': 252201579166311730, 'n': 841, 'trace_an': 20}
  • id: 71962346
    {'hecke_orbit_code': 252201579166311730, 'n': 853, 'trace_an': 80}
  • id: 71962347
    {'hecke_orbit_code': 252201579166311730, 'n': 857, 'trace_an': -48}
  • id: 71962348
    {'hecke_orbit_code': 252201579166311730, 'n': 859, 'trace_an': 28}
  • id: 71962349
    {'hecke_orbit_code': 252201579166311730, 'n': 863, 'trace_an': 156}
  • id: 71962350
    {'hecke_orbit_code': 252201579166311730, 'n': 877, 'trace_an': 72}
  • id: 71962351
    {'hecke_orbit_code': 252201579166311730, 'n': 881, 'trace_an': 0}
  • id: 71962352
    {'hecke_orbit_code': 252201579166311730, 'n': 883, 'trace_an': -48}
  • id: 71962353
    {'hecke_orbit_code': 252201579166311730, 'n': 887, 'trace_an': 216}
  • id: 71962354
    {'hecke_orbit_code': 252201579166311730, 'n': 907, 'trace_an': 0}
  • id: 71962355
    {'hecke_orbit_code': 252201579166311730, 'n': 911, 'trace_an': 0}
  • id: 71962356
    {'hecke_orbit_code': 252201579166311730, 'n': 919, 'trace_an': 0}
  • id: 71962357
    {'hecke_orbit_code': 252201579166311730, 'n': 929, 'trace_an': 48}
  • id: 71962358
    {'hecke_orbit_code': 252201579166311730, 'n': 937, 'trace_an': 0}
  • id: 71962359
    {'hecke_orbit_code': 252201579166311730, 'n': 941, 'trace_an': 0}
  • id: 71962360
    {'hecke_orbit_code': 252201579166311730, 'n': 947, 'trace_an': 144}
  • id: 71962361
    {'hecke_orbit_code': 252201579166311730, 'n': 953, 'trace_an': 0}
  • id: 71962362
    {'hecke_orbit_code': 252201579166311730, 'n': 961, 'trace_an': -152}
  • id: 71962363
    {'hecke_orbit_code': 252201579166311730, 'n': 967, 'trace_an': 228}
  • id: 71962364
    {'hecke_orbit_code': 252201579166311730, 'n': 971, 'trace_an': 0}
  • id: 71962365
    {'hecke_orbit_code': 252201579166311730, 'n': 977, 'trace_an': 0}
  • id: 71962366
    {'hecke_orbit_code': 252201579166311730, 'n': 983, 'trace_an': 0}
  • id: 71962367
    {'hecke_orbit_code': 252201579166311730, 'n': 991, 'trace_an': -120}
  • id: 71962368
    {'hecke_orbit_code': 252201579166311730, 'n': 997, 'trace_an': 40}