Embedded newform data - 675.4.a.k.1.2

Formats: - HTML - YAML - JSON - 2026-03-08T11:24:44.862244

• 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': 10800, 'analytic_conductor': 39.82628925387491, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [675, 1, [326, 352], [1, 1]], 'cm_discs': [-15], 'conrey_index': 1, 'dim': 2, 'field_disc': 5, 'field_disc_factorization': [[5, 1]], 'field_poly': [-1, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 10, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [19, 9, 1]], [7, [0, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996340814499, 'hecke_ring_generator_nbound': 2, '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, 15, 4, -1, 2, -15]], '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': '675.4.a.k', 'level': 675, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '135.4.b.a', 'nf_label': '2.2.5.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-4-\\beta )q^{2}+(9+9\\beta )q^{4}+(-13+\\cdots)q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.1.d1', 'self_twist_discs': [-15], 'self_twist_type': 1, 'space_label': '675.4.a', 'trace_display': [-9, 0, 0, 0], 'trace_hash': 238541736227875845, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.884', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '16.236', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '175.066', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.589', 'prec': 17}, 'traces': [2, -9, 0, 27, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 223, -36, 0, 164, 0, 0, 0, -342, 0, 0, 0, 0, 0, 0, 0, 232, -855, 0, 7, 0, 0, 0, -693, 0, 0, 0, 0, 0, 0, 0, 1649, 0, 0, -686, 0, 0, 0, 792, 0, 0, 0, 0, 0, 0, 0, 358, -549, 0, 3346, 0, 0, 0, 909, 0, 0, 0, 0, 0, 0, 0, 1809, 0, 0, -304, 0, 0, 0, -1422, 0, 0, 0, 0, 0, 0, 0, 0, -5607, 0, -1220, 0, 0, 0, 3087, 0, 0, 0, 0, 0, 0, 0, -2869, 0, 0, -1834, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2662, 99, 0, -1323, 0, 0, 0, -11637, 0, 0, 0, 0, 0, 0, 0, -5834, -4356, 0, -3208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6224, -3834, 0, 0, 0, 0, 0, -1287, 0, 0, 0, 0, 0, 0, 0, 4979, -3654, 0, -4394, 0, 0, 0, -7848, 0, 0, 0, 0, 0, 0, 0, -1298, 0, 0, 17372, 0, 0, 0, 10980, 0, 0, 0, 0, 0, 0, 0, -9261, 8496, 0, -10912, 0, 0, 0, 0, 0, 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• mf_hecke_cc •

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

  
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[0.7003966667731454, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0492602597402398, 0.0], [1.577050950123519, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.001964193545964495, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.35198963410804135, None, None, -0.25, -0.25, -0.25, -0.35701775345343134, -0.14426441603357662, -0.34309418938419656, -0.25, -0.03396428481154765, -0.25, -0.25, -0.25, -0.4106886712814615, -0.06572844099510532, -0.25, -0.0220319516175456, -0.25, -0.25, -0.25, -0.45139426770098834, -0.4246635693335333, -0.25, -0.25, -0.25, -0.25, -0.2487138424082338, -0.23246667783587083, -0.351191304801599, -0.25, -0.25, -0.4767916881617499, -0.33138966533658704, -0.25, -0.4083066854910045, -0.25, -0.25, -0.24794353076276493, -0.431546307198257, -0.25, -0.45960328520711763, -0.25, -0.25, -0.15972530732454696, -0.4620950681966619, -0.03780281744483786, -0.25, -0.2798615966997793, -0.08990274195262568, 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'weight': 4}
• 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': [20, 19, 16, 21], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [9, 9, 9, 9], 'ALdims_old': [46, 41, 44, 45], 'Nk2': 10800, 'analytic_conductor': 39.82628925387491, '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': [675, 1, [326, 352], [1, 1]], 'conrey_index': 1, 'cusp_dim': 252, 'dim': 76, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 67109539, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6], 'label': '675.4.a', 'level': 675, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 288, 'mf_new_dim': 76, 'num_forms': 29, 'plus_dim': 41, 'prim_orbit_index': 1, 'relative_dim': 76, 'sturm_bound': 360, 'trace_bound': 7, 'trace_display': [0, 0, 0, -40], 'traces': [76, 0, 0, 298, 0, 0, -40, 0, 0, 0, 0, 0, 2, 0, 0, 1030, 0, 0, 98, 0, 0, 294, 0, 0, 0, 0, 0, -406, 0, 0, -46, 0, 0, 60, 0, 0, 1106, 0, 0, 0, 0, 0, 980, 0, 0, 1956, 0, 0, 4500, 0, 0, 152, 0, 0, 0, 0, 0, 1260, 0, 0, -2602, 0, 0, 610, 0, 0, -2722, 0, 0, 0, 0, 0, -2632, 0, 0, 3476, 0, 0, 2114, 0, 0, 5040, 0, 0, 0, 0, 0, 9294, 0, 0, 5002, 0, 0, 8712, 0, 0, -2644, 0, 0, 0, 0, 0, -1018, 0, 0, 2622, 0, 0, -8632, 0, 0, -6166, 0, 0, 0, 0, 0, -6360, 0, 0, 6178, 0, 0, 2138, 0, 0, 9926, 0, 0, 0, 0, 0, -6230, 0, 0, 3648, 0, 0, 5414, 0, 0, -9084, 0, 0, 0, 0, 0, 15956, 0, 0, 5636, 0, 0, -11034, 0, 0, -12844, 0, 0, 0, 0, 0, 3206, 0, 0, -5010, 0, 0, 13326, 0, 0, 29396, 0, 0, 0, 0, 0, -936, 0, 0, -5710, 0, 0, 23928, 0, 0, 8640, 0, 0, 0, 0, 0, 11828, 0, 0, 9876, 0, 0, -21580, 0, 0, -41910, 0, 0, 0, 0, 0, -4216, 0, 0, -4414, 0, 0, -11970, 0, 0, 32530, 0, 0, 0, 0, 0, -5944, 0, 0, -49356, 0, 0, -10792, 0, 0, -11472, 0, 0, 0, 0, 0, -9240, 0, 0, -7978, 0, 0, -57388, 0, 0, -10622, 0, 0, 0, 0, 0, -18852, 0, 0, 12814, 0, 0, 7474, 0, 0, 16038, 0, 0, 0, 0, 0, -23284, 0, 0, -15940, 0, 0, 6792, 0, 0, -8548, 0, 0, 0, 0, 0, 21236, 0, 0, -15876, 0, 0, 3340, 0, 0, -61726, 0, 0, 0, 0, 0, -40734, 0, 0, 1264, 0, 0, 29576, 0, 0, 48728, 0, 0, 0, 0, 0, 5492, 0, 0, 7184, 0, 0, 53964, 0, 0, 13140, 0, 0, 0, 0, 0, 10056, 0, 0, -5398, 0, 0, -97932, 0, 0, -48370, 0, 0, 0, 0, 0, -9560, 0, 0, 14754, 0, 0, 8126, 0, 0, 128154, 0, 0, 0, 0, 0, 41142, 0, 0, 56046, 0, 0, 65140, 0, 0, 9668, 0, 0, 0, 0, 0, 38846, 0, 0, -10416, 0, 0, -23494, 0, 0, -6276, 0, 0, 0, 0, 0, -32386, 0, 0, -8016, 0, 0, -65874, 0, 0, 7460, 0, 0, 0, 0, 0, -26456, 0, 0, -53964, 0, 0, 34916, 0, 0, -98812, 0, 0, 0, 0, 0, -42912, 0, 0, 26702, 0, 0, -71022, 0, 0, -42158, 0, 0, 0, 0, 0, -87214, 0, 0, -126736, 0, 0, 21626, 0, 0, 55872, 0, 0, 0, 0, 0, 78278, 0, 0, -14364, 0, 0, 5424, 0, 0, 5918, 0, 0, 0, 0, 0, 62120, 0, 0, -91116, 0, 0, -27578, 0, 0, -41844, 0, 0, 0, 0, 0, 84480, 0, 0, 75526, 0, 0, -86948, 0, 0, 55526, 0, 0, 0, 0, 0, -26976, 0, 0, 2138, 0, 0, 78416, 0, 0, -62928, 0, 0, 0, 0, 0, -38302, 0, 0, 90436, 0, 0, -39828, 0, 0, 26748, 0, 0, 0, 0, 0, -10294, 0, 0, 114192, 0, 0, 74476, 0, 0, -152396, 0, 0, 0, 0, 0, 76704, 0, 0, 143066, 0, 0, -54780, 0, 0, 13622, 0, 0, 0, 0, 0, 67918, 0, 0, -78172, 0, 0, 68956, 0, 0, -24240, 0, 0, 0, 0, 0, -111948, 0, 0, -111538, 0, 0, 169164, 0, 0, 9602, 0, 0, 0, 0, 0, -21738, 0, 0, -6576, 0, 0, 69040, 0, 0, 155144, 0, 0, 0, 0, 0, -82248, 0, 0, 160118, 0, 0, 152834, 0, 0, -60202, 0, 0, 0, 0, 0, 151706, 0, 0, 249102, 0, 0, -135850, 0, 0, 71652, 0, 0, 0, 0, 0, -22456, 0, 0, 3668, 0, 0, 30750, 0, 0, 46644, 0, 0, 0, 0, 0, 21200, 0, 0, -15756, 0, 0, 52848, 0, 0, 269888, 0, 0, 0, 0, 0, 107868, 0, 0, -146482, 0, 0, -41574, 0, 0, -175728, 0, 0, 0, 0, 0, -125620, 0, 0, -15066, 0, 0, -305672, 0, 0, -56538, 0, 0, 0, 0, 0, 19448, 0, 0, -122152, 0, 0, 302166, 0, 0, 69936, 0, 0, 0, 0, 0, -59474, 0, 0, 102060, 0, 0, 215834, 0, 0, -187992, 0, 0, 0, 0, 0, 153816, 0, 0, -73958, 0, 0, -114172, 0, 0, 166298, 0, 0, 0, 0, 0, 125744, 0, 0, 313980, 0, 0, -14584, 0, 0, 155766, 0, 0, 0, 0, 0, 318048, 0, 0, -23968, 0, 0, 123984, 0, 0, 10862, 0, 0, 0, 0, 0, -179288, 0, 0, -240, 0, 0, 76532, 0, 0, -77242, 0, 0, 0, 0, 0, -450030, 0, 0, 179928, 0, 0, 110268, 0, 0, 21866, 0, 0, 0, 0, 0, 56470, 0, 0, -211438, 0, 0, -9864, 0, 0, -378996, 0, 0, 0, 0, 0, -244494, 0, 0, 76880, 0, 0, -45072, 0, 0, -127832, 0, 0, 0, 0, 0, 122912, 0, 0, -371448, 0, 0, 148082, 0, 0, 152036, 0, 0, 0, 0, 0, -142164, 0, 0, -26780, 0, 0, -432268, 0, 0, -135550, 0, 0, 0, 0, 0, 75938, 0, 0, -205410, 0, 0, -231850, 0, 0, 107196, 0, 0, 0, 0, 0, -55778, 0, 0, 227818, 0, 0, 3732, 0, 0, 53474, 0, 0, 0, 0, 0, 125834, 0, 0, 177024, 0, 0, -122798, 0, 0, -121228, 0, 0, 0, 0, 0, 88932, 0, 0, -99600, 0, 0, -606012, 0, 0, 46334, 0, 0, 0, 0, 0, -60210, 0, 0, -607804, 0, 0, 33314, 0, 0, 306282, 0, 0, 0, 0, 0, 29952, 0, 0, -227292, 0, 0, -101334, 0, 0, -153976, 0, 0, 0, 0, 0, -284016, 0, 0, 438588, 0, 0, -326486, 0, 0, 3636, 0, 0, 0, 0, 0, -138480, 0, 0, 33114, 0, 0, 72632, 0, 0, 104900, 0, 0, 0, 0, 0, -165014, 0, 0, -261616, 0, 0, 129780, 0, 0, -207222, 0, 0, 0, 0, 0, 701152, 0, 0, -91684, 0, 0, 393912, 0, 0, 178964, 0, 0, 0], 'weight': 4, '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: 47133261
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996340814499, 'source_is_minimal': False, 'source_label': '675.4.a.k.1.2', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996340814499, 'target_is_minimal': False, 'target_label': '675.4.a.k.1.2', 'target_level': 675, 'twist_class_label': '135.4.b.a.109.2', 'twist_class_level': 135, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47133262
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996340814499, 'source_is_minimal': False, 'source_label': '675.4.a.k.1.2', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050394850296483, 'target_is_minimal': False, 'target_label': '675.4.a.o.1.1', 'target_level': 675, 'twist_class_label': '135.4.b.a.109.2', 'twist_class_level': 135, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47133263
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996340814499, 'source_is_minimal': False, 'source_label': '675.4.a.k.1.2', 'source_level': 675, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68786585735, 'target_is_minimal': True, 'target_label': '135.4.b.a.109.2', 'target_level': 135, 'twist_class_label': '135.4.b.a.109.2', 'twist_class_level': 135, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47133264
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996340814499, 'source_is_minimal': False, 'source_label': '675.4.a.k.1.2', 'source_level': 675, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 68786585735, 'target_is_minimal': True, 'target_label': '135.4.b.a.109.3', 'target_level': 135, 'twist_class_label': '135.4.b.a.109.2', 'twist_class_level': 135, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47133265
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996340814499, 'source_is_minimal': False, 'source_label': '675.4.a.k.1.2', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050394850296483, 'target_is_minimal': False, 'target_label': '675.4.a.o.1.1', 'target_level': 675, 'twist_class_label': '135.4.b.a.109.2', 'twist_class_level': 135, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 47133266
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996340814499, 'source_is_minimal': False, 'source_label': '675.4.a.k.1.2', 'source_level': 675, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 68786585735, 'target_is_minimal': True, 'target_label': '135.4.b.a.109.3', 'target_level': 135, 'twist_class_label': '135.4.b.a.109.2', 'twist_class_level': 135, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47133267
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996340814499, 'source_is_minimal': False, 'source_label': '675.4.a.k.1.2', 'source_level': 675, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68786585735, 'target_is_minimal': True, 'target_label': '135.4.b.a.109.2', 'target_level': 135, 'twist_class_label': '135.4.b.a.109.2', 'twist_class_level': 135, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 47133268
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 45035996340814499, 'source_is_minimal': False, 'source_label': '675.4.a.k.1.2', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45035996340814499, 'target_is_minimal': False, 'target_label': '675.4.a.k.1.2', 'target_level': 675, 'twist_class_label': '135.4.b.a.109.2', 'twist_class_level': 135, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 814925
    {'charpoly_factorization': [[[19, 9, 1], 1]], 'hecke_orbit_code': 45035996340814499, 'p': 2}
  • id: 814926
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 3}
  • id: 814927
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 5}
  • id: 814928
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 7}
  • id: 814929
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 11}
  • id: 814930
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 13}
  • id: 814931
    {'charpoly_factorization': [[[-4481, 36, 1], 1]], 'hecke_orbit_code': 45035996340814499, 'p': 17}
  • id: 814932
    {'charpoly_factorization': [[[6319, -164, 1], 1]], 'hecke_orbit_code': 45035996340814499, 'p': 19}
  • id: 814933
    {'charpoly_factorization': [[[26821, 342, 1], 1]], 'hecke_orbit_code': 45035996340814499, 'p': 23}
  • id: 814934
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 29}
  • id: 814935
    {'charpoly_factorization': [[[-35549, -232, 1], 1]], 'hecke_orbit_code': 45035996340814499, 'p': 31}
  • id: 814936
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 37}
  • id: 814937
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 41}
  • id: 814938
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 43}
  • id: 814939
    {'charpoly_factorization': [[[-297680, 0, 1], 1]], 'hecke_orbit_code': 45035996340814499, 'p': 47}
  • id: 814940
    {'charpoly_factorization': [[[60211, -792, 1], 1]], 'hecke_orbit_code': 45035996340814499, 'p': 53}
  • id: 814941
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 59}
  • id: 814942
    {'charpoly_factorization': [[[-552779, -358, 1], 1]], 'hecke_orbit_code': 45035996340814499, 'p': 61}
  • id: 814943
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 67}
  • id: 814944
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 71}
  • id: 814945
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 73}
  • id: 814946
    {'charpoly_factorization': [[[-1386701, 304, 1], 1]], 'hecke_orbit_code': 45035996340814499, 'p': 79}
  • id: 814947
    {'charpoly_factorization': [[[102241, 1422, 1], 1]], 'hecke_orbit_code': 45035996340814499, 'p': 83}
  • id: 814948
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, 'p': 89}
  • id: 814949
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 45035996340814499, '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': 11, 'label': '675.4.a.k', 'level': 675, 'portrait': 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3yOz0FofIy1XLIhotNLObOgmWh4XLQhYcvaLvVaiJCWKBK0elXmWz4TNYEnPc7M+Rw6LTh2LuHEYkJQ7fGmG7q88yYI5DgHjjc5Masccy/GnFiwHJq3XH/5Ar/wg8usG5/g6OlJTs9XmVvSLLcFSWrxtSWMLWfnBpxeDth5ScNs2LDpD7Vu/JQxcfvn/uYHXm1I/Lkef6kB3m63WVpJqQTiQ6dOH3jt7/zRJ2RVn3ntz9y5pBcWtnBydoKFFZdU6YeC/gBa3YTlVsJCK+HcChyaF0xPr/CvfmSRG3fVODk7yZm5OmcWNLOLlnMLCafmU+Y6CeOTA153ZZebLwFfVglUwOxShbMLmnNLgl4ISWKo+IZ6JWViLMEAx88ltLuwda1HvRpirQDh0+0btqwLWVzRYJ0UWelCmIDFstSK2LjGo9NXCGURJqRZ8diyfsBKT3D8jCY1mqmmpFERBB4kiaAXSs4tSc4uWmaXE4JgAF7CLZd1ee3lgplmlcXlJidnA84swOxCwuxSwuklOLxouf6yBf7VjyyzbmyM4+cmObdQY25Zs9SStDopvdAwCA29gWGxlXJoXjC7uMKv/ewgmZqefmz7RT/wYtRZ+FvXXP92a0xq6o3Gqw2VV3z8pQ0yn3zkCzSbTZaXFn7prnse+Ht/9OUngycPGYJKwLteI7l0wwqp0fi6xkrg0eppPC2wKIwFYy2WFLAcWRjnX31K8Es/Psu12yMa1Unq1QbNWkCj5jHeVMwuKs4ta77xaIUvP5ywc3OPSy5KWFruc+nmkO9/qyFOFALLlx6rMNeqUE1Djp1VdLsNrro4Za6dsO+Ax67NkoNn4Jbd0OpAZDSBjpiuw8unq9SqMYFKGGsIVjpw06UdDp8K2LXVcPRMyN7D7vd5mwccnrWMNUKW2hF3faOGFYo0Tbn9mh6vudZybsXj2h0DdmzwSOImvX6VfUcqnFsQzC+nzC0nzC4ZTiwJZrsR1+xa5F/8YJc1zQmOn51gdqnCwopmuS1pdVNa3YRuP6XTN7R6MNuWnGulXH5xnxsuXtT1irl19vTnrreVW+7o9ft/PD099c8++anP8YEf+u5XGzIXfPylZPB7vvYp9s1p9frt8b84dmLlnz/85HG1/1iHEwuC4yuC7ZsW+dWfmOWKbQ3Ozk+w2K6y0vFpdTQrHcVKB5Y7KcvthOV2wnwLTi4LdHXAay5f4ntvi9i+ps5Kt8ncUpX5JZ+FlmCpZVhsGZY7hnbf0A4tvUHCVDNmy1oDCALPcmrOQ8iArWsU2zdYNqzpMbsc8vzBBtfttNSqy+w5NEmjHhFFHlMThv4ALt0y4NP3j7N7c0IYWqbHJHHap1EJ2HtsQNWrc82uhBeORMwu+mycCti+Hrasi1Aq5tQC+J5FCMvWtQkTDUmnH9DtebR7HkttxdIKLLYMS62UhVbKuRYsDlK2bOzyvbcv8JpLNBWvydn5JvMrFRZXNIstwUrbsNKNaXcN7Z6h1bPMdxUnly1XXTzLv/3gEtvWjHF2foLjZ+ocn22QyPVppTn1Sz/91xv/+q67e+md7/qBVxs65z3+UgH89Il9VKuV6okTZ7Y8/tyT79+x5ti/aS91eXp/kxNnI04vJJxaEhxesly6dZ4Pf3CBK7fXmFsaZ7FVY6UTsNLRrLQ1yx1odQwrnYTlTsJS2zLbEpzpWhBd7ry1xdtvNFy0vkIU1VhuVVjp+rQ6iuWuoNMTDEJLlFjSFJS0BB5UA8t407JmMkZ7Aw6fjXjxUIBJ6rz1pgjtrfD0vjG2rYevPJFw6xUBc60+Fa1I0pjJCUhiD+0lLC7WeN21bb7yaIPt6+GpgyEeNd5yoyERfV48nHL0VAUtfdZOaCbqgmog8H2BEpAYlwcYRNDpWVa6hk7PsNIzLHYt/TRl66Yeb7+5xZ2vjcA0WFwZY26pymLLY6mtWW7BSscxd6ub0upZVnow25HMtg1XXTzPL39wnl0bG5yam+LsfIOTswFHTlkef6nLth0zvOv2DT+/dua6P1q7fsOJKBz0r77qL08Q+pfGJrTpPprj0/7y0skfffnA0bufeHrPm8aqx8XMZIVzizX6A0OcGKyxYCUHzlV48ajh6ota7NocI4VAIJBSoBQoJZ2HrCSelngaar6l6QM24In9dR7Yo1joDPC9LhNjPdZO9akGMdvWD7hoY8S2jTEXb47ZuSVmw5qYTetCdm9r0w57DJI2X3zE48iJBpuna3zHjX2sXOaBZ8a4bLvH4bk+vmiwe9uAFw5X8H3JnmOa77xlwHJbsX5S8cIxmKhWCIIOh0/WueUyODrXZd9Rj+lGjWt3CnZv73FiKSZOQ547nDDbSjk1F/PSsZSDp1IOnU44fDrh9FJMK4o5u5IgggEXbetw5+uX+Bvf2eXGi30Wlqc5PTfO2YUac8s+88uKxRYstRJW2gnLbcNy17LYgbOZLLl+9xy/9BPzXLalzuziOIsrNRZbAYstxeKK4dhsgtaLzFQGb4zS+t/qxdWTA7nzhR/4oQ+mn/rEv3+1IQX8JdHgYRTL2aX+u/7zJ//04ut3dj/cPfek0lowtzJGPQiwFrR27FWvWGYSQ2oVTx9cyz//uOBDPzHPtTsSAi/B8+oEfoXA8wl8TcVXVCqaWkXRqCU0aylTDcOGMcF8t8HdDzX4wrdCrtrZZ91kSrc34G03h2xbZ0hSiZaWKIEH91Y4MVdh/YRhz+EKmEku2aS49hpDUOnw8Es95hfGuHxbjUQsc3bO44adcOxczHS9wswkBOc0vUHA7JLG0x7bNrR46egk114acPRMmxNnxnnnzSlzrUWeeGmcvcfqXL+7yg/cPgDZ5fmjhjWTXWbnYx543mMQK7QEbSzb1kd8x80Rna5iw4Th2p0QRXWWWjX2nA1Y6Xq0e4pWV9LuQruX0u6mdHqpkyR9y1JPcqYtWOlH3LJrnl/80WWu3l7j9Pw4y50a7Z5HbyCJEoEQgvGaZs245NxSS3718Qf5/vcs/6fXbXy6tvX67z1k0uQuqbR5tbH1qgO81+sRhv0fefaZp3/jhRcOTt7/wHHecG3CctdjEDaxcUAYgRQCX0tqgSFOLcYYLJJnDq7hn/6O5j2vWeL73rjI9g0Rs0sNKn6VauBTCzzqVU2nKmn0Pcbqmt4gpdtPWRsa+qGlMwhYmq9w6qQlSgynzyUEgQUEvrJoKej1FQKPpKe5eptgxwbLlo09wrTDPU8q9h+a4M3XBVx76TKfvMfiixrbNvZ44VHFxnHFdLNHRVWJYo+5DtQrmk1rBc/tj7h2V5XbrlngE3f38b0Gb7rJ4gU97nsi4iuP13npaJWLNtTYtj5lZiJi+3TMFdtSlDJoZQFLLQiYGQ+IYo9Oz2fPQY/uQNPrK7oDSbcP3YGl20uzIDKl27e0+4ZWXzDfU5xbsdSbLf7WW+d59y0RV22vc2ZhjOV2lXbXpzfQRLHAGPA8yfb1PtvXpujqgMt2dVgb3O/Nn9vxG63ouaWdu677e71e7xO1Wu3/XID3e30Q4idefP7pDz3y0H2TQTKPb+t843GYaQi2rlfMLQuwFiHB8wTVQJIag7UWIQyekOw5NMNzB2scPDPHe17b5bWX9RlvNFlq1ai3KzT7Pt2eppNd7P5A0ws1g9AyiAxRbIljS5K6Z5T4WANSOX+94gvGG4KJBqybNmxa22N6osVXn4YHn/WQZow3X+dx9SUdHn4pJho0ec3Vgla/z9xinVt2GabHe1R1wCBRzLdjlBFcvUtTa4Q8c6DC668d4+arOjxzQIEd47rLfH78nUt847mIrz9ZZ9+JCltmFOsmq0w0aow1oBqApy1KgrGw76ggTQVxIogSCGPcMYYp/ZL11wsN3T60Q5jvKua7MDAD7rhmiXe9psUPvMkQx2OcXWjQ6lZod306PU1vIAljgbUO4NMTEqUabJv2uGFHSC9s8NyeHiuD+yYXl5Nffd3rXqv7/d7HqtVXD+SvGsCtWQQR//jBvY996OW9D62p6B47NtdZ20uJE4unBJUgCxGEQCuJ71uMsVgLYJDComRKoCXzvSr/7f5N3Pdsm1uvWOGH7ljhiu1dpsZrLK7U6PQDen0vA7Zyz0gQxq4QK0kgLX63Cyq1hooPtaphshGzcU2PhC4HT8f84QMVjpysMx5UueEyzS1Xtnni5Rb3Ptbkpp0Vtqzv8en7BUoENBsxK90QY0EJmGn2aHd8TFLlXbfO8Zmv1NgxW+HtN/WI4kUeeHGKOK1w42VrePsNbXZubnHfMz1eOFnj+aM+myYlk01BLRD4nrsJpQAhrLNIjSVOsps1dgmbQWQYRNCPoDMQLIeCpQ4IPeDqXSv80Hes8LrLUqYbVZZbNVY6NTq9gE7Po9N35JADPEkhP1G9geDo6YBTswFRImj3LIsryxw78/U1c0vph15/66326MnW72zfPPZ/BsAPPvdR/vFH1/Hzv3bfB7atm/vw5ev2Tk83UmxapVqRNOuaKHbnT0qBEI6dhJDZnQEIkBKUdEu0pwwVLVgeKBZbE3z2W3Ue39PlNVet8ENvWuGaHS2m0ipJEtAbVOj2PfqhJooVcSJJUklqBMYKBBYpLIFvqFUSAj/C90JOL4bc/ZTk0Cmfo6cmUCZgx3qfS7crrrukjQrmefFwg43jNS6/CNbNLLPUbnLFRkliLF99MiDsScbrCW+5ccBdD8ScONdg98UeZ1cG7D3isXntBFdtn+fhFzo8ulcQRj6XbJ/kks0Bl2zqcPjsEodOw5P7axw8UqemBYGW1ANLxXPnRGTYS40lSSFKIEoF3VDQHgjaMUQmwdgB1+9s80Pf0ebWK1LWTwb0B2MstnI54tPte3QHbtXrDVwybRA65yZODNZCFAt6A7DWrYK9QUq7l3JmYYkjC/euWTd98MM3X9pIrOWTBis6Pex4/X+defe/FOB/61/9JhdfPc+v/fXkBz7xxXP/4fNf3Td++Q+FbFo7hRSKwPNKLCEwxmKsIE0hUaCkdMBWAiVTlBJobfC1peJZakHKeEXQDj1W2hP8yYNN7n9+wNqJHu+/vcUlmwcM+l0u327ZvE4Rxh5pqkiNxObglgZPpxyftRw9J1jpG774cI3TCxPYyGOiotgwpdm6TnPRRrh8RxsjF/joXXWWlsa46RLN5Tta3Pe8QCQeayYk9VpCL/aRVoKVKO3TGghmlwSX2Rq3X9fhkWeqbJj2uenySX7snQt8/CsdnjxQpzvwWFxpsH1Dld3re9y4q8N3v77DmaUlvvhwwGIv4PhZj9OnfTwlkFIiEBhrSQ3ExpImhompmCsv6xGGMZdsDnnv7SFrxhSTjYA4rnB2vkK379MbuJu/N9D0QkV/4ArY+qEgjCCMDFFsSFJDaizGOAJKU0sUG/qh89BnWwqVLjB/9sD0F05c+usbd+37+dtu4cexgwf/V2LufxnA77n787z1He8Rf//ffOx9vtjz25dvfK52y6WWTWurxNGAyXGJ1oZqoBmEkjiRxKkDepIK4sQ5KVpLtBJoJfC0wdcpgTYEvqUSWaq+pVlJmagKepGkE9U5eqrOr/zBJJgEkSRcd2WP7esikgSMNVjrkjhSCKQSaM/nwAmffYcq1Cuahi+ZrglmpiRrJjUbZhRb16fs3rpCKhb5j59vcvzEODft8rhkW0o/6fDYiwHjVY+pMct4I6JWdVLIGElroFjqWhZbKa1uldddvsJT+3rsP6EYb1a48bJxPviuRf7zF+CZQ3W6fctKRzO71GTddI01EwO2Tg34h+/r0ay1eOEoHDgp8TyLUi42Aev+z0KSwLZ1Ka+5IiGNPeIkwNoag8jj3IJPP3SgHkSqkG/9KGdswSCCQWSJMnDHiSkkUJrFLXFqCSPohZZWX7AcSbqh5COfs0w1n5/5icmPzpw7tHP7hp1/46E/+qMv2Pe//z3/+wD8Dz7/2zw931XV+z965227z37yQ797svLshMev/t02a6dhZSUgTQVaWgLfYxBqolgSJVmjQuysqUhLfA98LfA9he9J9/RTKpEljA1hbIgiSzPB/ZxAlAgGsSRMA+K0wv5DdZ7fD6m1OGg7bexJ8JWr+WgEcPl6aFZhrC6ZaCimxjVrJmHLupD1MyvEdon/+PkxDh8Z49qLFBdtkuzYtMw39ybMLo5x3XbJRNNQ8fsEMsAqQZJKhLUkacRyt8Lsose1l1S5eleHh5+psHZCUKs0uHaX4WfuXOQ/fMGw93SDla5hpaOYX9ZMj9eZaFaZaI7RrMXM1GO2Xhs5m1QnKJUihdPIFndTxbFibl4TJ4o4UUSxIoyz10gSxpIwkgwiSRgJBnHO2LZg7Sg2RIkhji1xAnFqSJJMBiWWfgS9SLA8kCwNLL1uylwV/tEPLlORL/JfPrPmo//po7/Tf/sdg89/9Wv/JX3rW/7mX32A/7Nf/UNeOlxXvXD+vffOnvjEjVufqVx2keKTXxzH8xX/+oNtdm1ou4BRpfh+QN/3CCOnkaNYZgCXhLElil1g5UeCwBOEviKKJJHv3JAoSTONWHqmZGxjSA1ObxsKcAsBSoKW4HkQaEElENQCSb2mGKtJJsYEayYTtq7r0aiv8PlHIh54cZKVhSZXblFsXe+xc/OAVKzw1Sdr1D3NzISiURvw4mFcx/1mSy9UXLUz5sodlnNnU+aXffqDGm+9ocNDL/Q5eFpRr0oCv8kVFxn+9QcW+dbePnd9a5rFtmXrmpTllma8qRirezRqHvWqpRIYAt8Q6BStnNSSedhiwRiBMYLESLcqJoI4ccQRx04WRonT1FFsCSM7BHUJ2FFiiWKKcxtlAB8kgm4kaEWSxYElHPS5etsS//onF3n7rTG/9Xn45tPPVP7W+7f+/uLsth997eVTf3z24O+m63f+2F9tgN+4Q8pOv/V9X3/s7G/e99Rc5eN6I8s9gZwQfOnROlHk8z23tfnu21eYmYxpd6sEXkAYeYSxJow1cawIY0mQAT6KBZEnCRORXRCRBYy4GyJbPpP8NTWkqXMXUps5JZlbIoTIAlaB1gJfCwJfUgkk9aqgWbOMNwxrJ0NmJjokdoXPPiT5+FemWFOpcOUWwZb1Hts2GLauX+bzj1mWlipcsk4x0YRGLWb2mGRuOcDfDmEsmBmTjI/DwaOW5bbh3EKFndsqvPG6Dnc/WGGqAYHvo+Q4V+wQ/OTb5/DkHF96eIKXTldY245ZM54wVlc0qopaVVINNIEPgQdaWwdyAVKUQI67sVMDaerckNxBilMH1jh2LlYcG6Li1RDHjqWjEmPHCYSJoB8LuomgFQna/ZSq3+EH3zHH+27r8KZrJStzk7zresVtlw5IkqOV2XNjv/3S4RmdmPH/huOZv5oAv/vuu0mN+cDZw0d/fbB0vLljSjPfEYhAEijo+D5fezrgsb01zi7P89N3tpmZiOgPqrR7AWHkE8YeUawzcOcAV0SJzMCcATwRWd+lzC4YmT7MgG3ILEZbfD8hHMBVoekdQCoB1CqGRjVhvJEwM95nemKFR/ZH/P69VQ4cHWfbmMeOdbBpnc+mtbB7S5te0uaJfU2qymNmQjHegPFGyMRYgu9rhHA3Vz/0WWrHrPQsrW7C3LLPlnUNbr5kjnuf7HHgdJNaEOMpHyHG2LFR8cNvWuD63XP8/r0NntgzzmJXs6aZMF5LqFUk1Yoi8ASBJ/E8Z6sqRWYfOpRbnNthDAXQ3c2f6ejEkiQugIwSm8mPnKkdoKNM8oXZsxsL2qmg07PE8YDJWou/eecC/+B7+wR+hYWVOv0wIIp8BqHPYqvCyXOLzVSd+Y/bL7rEv+/rX/n4Hd/x9r96AF9abiGl/ImvfPmuD505c2aqWdcYawg8Q7tv6YTujl/RAe3+JP/vH/vsO7rIu17X4farW6xb49NuV+kPcpB7xInTjXGsiBJFHMtsmc297DwwJbP+yJhbYixDcI9YjaCVS5j4nqXiG6qVhEYlYaIZsn66zWyrx0e+6PHVpyZZWq5z8YxgyxrBxjU+m9YItm8YoP0VPvOA5sjJOrvWSiYakrF6ipQhp+ctgZZIAdYKolizdU2bJ0lp9xTLbcvsUpVdmyp89+0t/vg+n2OzAZ6OEcLD2DpxIrlu+zJbv7/NV5/p8emvTvL0sTobJwTT9ZR6JaXiO9nmexJPC7RyGWApRVFVZ3E3WV5SnKYO8OWAMUkdo8cJhcSL8uRRKggT6CWCTiLoRRB2YzbNtHn9NUt8161d3nwtYJrMLdTohxV6A59e36fd81npuPr3Vufs1Jq1mz/89re/Sw16nY9Vav9zasr/pwC832uhPf1jzz716IdOnziwphpIrPWwNkYIkIV/LfCVwJealcEYf/StgAdfaHHN7hbfd0ePt98UMTPp0xsE9MOAONZEiSaOh8GSA7giSTJtmUrSVJAaMdTaRlCoEuuYWwpQyrkOnjL4niHwU6pBQqMaMj3epR/3ue9Fyx9+c4wn9owz4XtcsdGyflKydspnw4xk09qIizYu88KxPl98aIYxpZkZEzTrgmYtptVL+cpjFRq+LTz9fqh512tCvvy4s9RaXcPcsmbTmgbveW2XJ/Z32HfQpx4kKCkcyE2NQeS0/g+/scWu9XN85lttHn1pnBPLVdY1BWMVS803VLTB90ArgZLuRnZMDnkBqcmkmjHDFS4xw1UvNk6+xJmDFaaCQSroJ4Ju6oLPKAqpVnv84JuX+b47Wly70zAz7tPp1llqVeiHQeanO0+91dWsdBWdvqQ7MDz73N41QW3yQ7feeqtZWm797uTEX3wy6C8U4C8fX2HnlnOkNvyRpVPf/LXlMw9NNYKIdNxHKycPrE2wWGSWUJESPGkIpGBZVzjd9Tn9RJ3HX+zwx1e2ed8be7zllgFTEz5R6BPGPlHskSRDkCdpBnAjSUsANzZjbjNMLAhhs6DS3WRaG3wvJfBjqkFEo9onpc83npH8wf3j7Dk6hogDtk1Y1o9bpscVM5M+66YlG2Zitqxrc3K+w3+9q04SVtm0STDe0DTr0KzFCC+i3a8z3rAI4dLccSKZDBSJSejEPp1eynJbcXq+ymUXNfip71zhw/8t4Ph8Ha3i7MbQJEmFQSRZNxVw3cVtrryoy97jp/nDb1a59+lxzrSq1ANFw4e659rOPAVaunS+EKP10QawuY9tBKmFxLi8Q5wKotQliQapoJ/CIIU4STBxxGSlz1vfuMz77uhw6xUpzcAjjOosLFfoDyoMQp9e6NHru5qYTk/T6iraXUm7Y1jpJiydmuOFI/euOTzLr73zLTcn9zw693tvvUUgxMxfToB3e332Hdnw7r37v/mfp/iD5uZpSxzNoBYU1jogpsZirHVnFle8rwQoYfGkpKIk7bjOfBRw1xN1Htzb5cZvdPjb393h0i0ha8Y1zboijn2iZAj0JFUZuCWpkRgrsdZJAlsElCCFQSmLVgatEwI/wVMR7X7MfDvm33++wtG5CZ7ZN441PlNVwZppy/SYYKqpmBr3WDslWTeVsHGmx9T4Ml991vD0S+NcuUkw0ZA0apJmzVCvRggvJAg0Wrm/by2kqaQfavqDmMQIOn1Dp2tZanucW2xyy+4uN1+2wme+XqG6pNAydoC0miT1iWJJP/SYHq9w/Y4u11/c5cnbznB8XvL7944zt1Lj1GKAryR1T+DnMky6wLMg8lyq4Jg8sYLEQGwEYQboKLWQJogkRqqI9RM9rtza429/d5vrLzU0q5o4brDScatsGHkMQt8dX+jRG2i6fZU9JZ2+pd1LWWknzLUE+0+vEInPTt1xQ/s/v/WWNy6nSeeLf5GY/AsD+PL8Qcan16nf/O3/dvEXv7m/aWzKz//IgA0zXQahJizqPhRJpvssBoQDuZQCLQ2+ElSVoKs13aTBUlTl3qfGeOSlPvVgwI++tc3mqZitG/rccnkHLRSNmgZUKSspMVa43sjsIbAIaVEiJYwtlgRkwt6jkqf2a+5+osHeEw2ipEZDK2aqlsm6ZaJmnQ/e1EyOaabGBesmEzbM9Fk/s8wDe0I+evca1o9rZprQrCuadUGjllANQh55WTGINF7dgcpaQZRIKlpxza4+j7847gqf+ikrbY+FlYDZhQl+6u2znFpY5PHnZvAkIGIMkCSaKPYII0m3r5loVBhv1rl5V4/bruzx/W+YZ/9Jw5efqPDE/iovH6mTCE0YKnqxQgmJEGJV4JnlBKwhMRZrDJ5IGfMjKsTcfG2X7esHbJpO+KG3DKj6inrFI4x8Wm23qoaxRxQ5e3cQafqRq/npDfKnS+n3+oZuP2Glazi1JJiaGfADb5wnnHuk+fj84OKpW75fPf3cy+n11+z6ywPwu+47wF1PrPcvmnryr21em/z65uYK39gzzSP7zvDum7o0ajVWuprAg8B37keaON1nMyaXGZNrBb6yVBJBPRH0UkXfr9JPA7qdlF//zCQmiVg7M+CyLQOmxhLe+8Y+W9ZExLHI9LaEEnOT6U8pDUIK/uRbVV44XEdozfEzNU7P1qhUFWOBYLxuaVYMzQo0qoKxmqLZUEw0NFPjMD2esHZqwMY1bVK7wp881KTfrbNzk6VZUzRqkkbV0KgkeF7EVx+vEPYk3hqQGZjiRFKvKt56Y58HnzV0Q0m3n9LuaVY6mnOLNS7d3uC9t7Z5Zm+N40sNlDRAnOlljzh11ukgknQHmlbXp1GtUa+GXLppwE27B5yca3Hs7AraS3n+iOaPv1lDKOXAndf25A9rAAPWEscpW9ckvP+NfaabKbu3WtZOQRr7hFGTOPVYantFLBTFHlGiiCJNGKsM5IpBKLOiNukSR7Hz1geRpTOATpzyjss6XL51nAeeShlbE/36TVOP9q67+tKPp529kWpc/pcD4OlgH2srR3ft3XfqIy/teVqum9RMVzX3PNbktsu71CoJnrZ42mZ2nMTzDIERYCUC44I+aYvgM1CWirbUMy04SAWh8Qh9j9hWme82+eYLBkvKnz4RI0TqLpI1RaWbJbPIhEAIhRASqRRJrJFG42lJI4DtM5a6Z6gFhloAtUBQr0oaVUWzphlrSCaaMDWWMDMRsmGmQ8oy//5zFR5+cQ07pmCilrF3TdKoJtSqEfVan2q1RqAkSmYaHCcH4thj0Bf0w5ROqOgOjGv07SiW6z6nZsd43WUhP/O+WX7jjzUnVgKEMFgbY1JLnHhEsWQQenT7ikZfU6/41KoVakGNShDTqEZctzPC92Ju2JnwQ3f00CrJkkAGIeyoKM8knUklQkoCTwMB/VCzuKxIE0WSahfzpFn8kwwdrSgZWrl5VnSQ5SnimCylb0hSSy8UjDVi3nFzSqvT5My8ZH75QblpXfKRQdx7KA77e/4isPn/G+C/9+nPMehNVGdPv3jn0WMvim6vQtBUjNcskfExtp9l0fIKQVcs5WlZlKdaIUEY124mLZ6yxBr8RBCnlsRA3VC8j40gDiSxkaRGE5uA1A4tsPxRZCkFaCFcplJBpepunopK3aqioeJbqoGg6ktqVUmtoh3A64LxhmGymTA1HrJmssuGNYt89G7Dp+9dy+ZxxXTD0KwrGjVFvQa1akqjGnN20XD4bEDFdzcv5JV+gkGk2b7OsG56QHvg0x/YjMUlKx1No1qhURvnh+6Y48jZc/z2FzeipcZiSE1KYixxogkjRT9S9ENJryKpDTTVwKMapLQ6LsbwvRRPp3heipauUUJKl84X2dOVrghAYLPKypbJ4pnsNY9xXDZUkiSKJJVZ7iG3a2WRjAtjSRw7FybJvHeBqxKV0iCxQMByx0dKRaNa5clnXhC7dpo7r7rkksOPPfj5/i2vv/PVBfh33JL48wvHfu6hM62fS6OK3LpOE3iC6y8BUR2Qpu4A+qFzN6zNLTqXjLCeO2opZMbgrjjIM5ZEO8sqMa78M8/ApVmlnPNyRREogRgBuMvkucBKS+Pau5RzFjwl8LR1vrEWVAJJxZdUA0W1omhUJY2aZayeMt5ImGyGTE/02LJ2kSdeDvnMtzYwUQlY2zA0a8KBuyqpVwz1SkKjFvLEAXh+f42LZ2yme4dp836ouGG3ZeeWPk/uGacXWvqDlG5fZyD3qFWqVCvjfO/rl3j+5Tke37cOrMKY1JXDJpYktkU9ST/U1AaWakVR8Q2B7xH4rhhN6xRPG7QyKGXcFizSSUOEReTJgewmtFkMY7JnmkqMEQ7oZmjHJmme+s9yEakskm5RLLLPMgWUXfeKLxivCQY9xWN7NRXcvMRuz6NRM/Lgwbl/cfhs00fVfwmIXjWAW7ssbdr9xSr/6e9de9E5f+tMHa0ipsYiDG3ufxEefWGKQAWEsduCwzjd4IJKNSpRpASdlcY6q891tKc2Ty87B8bk0b8ZsnZJbq8C+DCho7K/6SnwtGsU8LPsX+ArKoGiGghqVUGjamnWUsbqCeONkKmxPhtmlnn8QJ9f/MRaTpwa56Jpw3gNmlVFvaqoV6BeSalWYnxvQGtgUVLhKRdE548cIHHi06zG9BJDL3T78/QGKZ2epFVV1DoBlaDBtnUx//qvtfiXn5Q8tm9tNvvFkKaGJE2IEkMUKwaRoh9IqqGi4ksC3xL4ikAbPM/5/VpZB3CV27SOABzIS9eWoQNlMkbP61lSI0ZyDUOwi6wIK6t1SYXLKBv3+6QQeJ6kWYPAU+ysWFody13PdcFUmWqAloLTi6f8DduCf/zrP/+j3tEzvZ/fvqH2P5zO/x8G+JnZDqdnzS899Pj9f3fpzP6KsglvvmGW7kDw+H7N3hMBjz8/wcYxj63rLIHv5EJ5mdLasZqQ0p1oaUkzHZ4aMBm4Tcbg7kRTZOLyxM0IwMVQmogc3MKBWykXxOqsFc3TksCX+J6iErim5mpgqVcMjVpKsxYz1oiYbPbZMLPC4/t7/MuPT3PgxCRbJ53D0qhK6jXp2LtqqVVSapWYOI341NcbSKXwpAugCwa3OfN5/PCbl/na0xGdKKCXAbzbV3S6ilagqfgBgddk9+aEf/Pji/zCxwWP7lmLsa51L0mz8tXYVf2FFVfuGgSCiicIfJfZ9LUtMrZaGaRy30lK1w4ocfmBUsqzOL95LqFYLUtJNAfwrJArdcQUp8NaF1cqMZSngVZUPEngC7ZvgPUziqnxBV465fHsS1U6fcEbbuxSryxUFs6s/dmrLv5OYc3KPxXyf2xe+f8wwPcfOIix9uaPfmpvdd+JGYQ0/OkTIYNYsP9ohQCPDU2BsIbeIAUyxha5LnboyztoUmlR0pIqO0whW1Fk2owVWVJiyNhlYOePHOBSgJAiu4hD9tZalAJd6eo3fEElcDNPakFKverA3axHjDf7zIy3eGJ/j1/83Un2Hp9m04Rgql6SJhVNveLqV6qVhGoQ4Xkhpxcn8JRASZPZcsMgM8007PoJS5LEtOMK/dAyCA39QUpnIKn2FBXfw/cqeHqMSzYl/Jsfm+ef/Q48/tIaUiMdwFNLnKQZkxvCwFCJJANfFRLM88DTTqK5OhWLlhnAc6AzmgzKz23B5HZ4gxpTKtwqgT0vj0jN6NNJU4HQjmDqVbAotGzwvtsSpOqy/3ifQQzX704xqUdsn6rOn7v8ZrHa8fmfDfDHHrmX7Vup/cq//5LvJ202NXx6keDll6sATGkYr1omG+B7wrGAsVjpmgqEHLKrMU5TK2MxOXPbrPfSDHsMh6B2Hnr5AhTgZsjceZWgC1xFlrZ2s7aH8gQqHgS+oVqxVAOnn2vVmGYtYrzeZ3qixdMHB/zCxyZ48fgMG8YVM3XDWFXQqEhqFUWtKqhW3M3hUv0Rj+8TdAc+FUWWLnerVb7ipEYQJ5p6RXHL5R2e2NukFzuZ0g9Ten1FJ1AEvsL3/Ew/j3PpZsMvf3COf/Jb8Oi+NcRGEhuTNUsPezBDXxL4pqiZz485bxbRypUq5Gl8KV2WV4oLX/Ncl+cgzwGfGsfuqRn+bMpPOySl8nUBV5q72PKBCZr1Gjs3xgig11X0Bh4rHTh65mt+ZeoNtbvvvrv3zne+838+wB977ij18Q3jTzx793+dHjevXzfpbLVB7KrPANes67klv+JLtJZZ5EyRMnYAdcygTHbycnAXdRIZsO2q1/yMl5GNGAV3pvNVAfDcvXFM5nvge4aKnxVYBSnVTF40qiFjjT4TjTbPHQr5hY9N8PyxNawb18zUDGNVqFcE9aqiVlXUCvZOqQQJjdqAB573WWlVmJiwq445u6lTQZwq1kwp7ri6ywNPGfqRYBCZEsglFU9S8TSe9tG6ipSGSzdbPvTBOf7Jb1kePbCG2GjirALQlb06Jg9iWVQX+tpdB08LtBQonZ+b4TUpbkLOT+sXK+aqZx4LFexegJpSg7jNfqf7jamBOIF+KFBSk6SCVtfD0xaLGzDajxRLLUE/Dl9/afX477zr3d/1183g0IqsXPw/F+CdlVkG3aV/8sJLx7+vtdJiYszH89KsT8+hz9VWM+y4yU6sKhX/iJGTJkonTBRgNllGvwgky5LEjp60QnvLvIJuqLvzikGtcPUZ2uJ5rrG44hsqfkq1klCrxNQrIY3agMmxFs+8HPJzvzXNc0fWsmbcY00tZaxmM3Bn7F2RVAPH/pUgoRZEJCakEwUIJfFyBi80uMiYzllrcexR9weuXCCqMJGDfJDS8x2DB77E0xpP5xvQWq7YZvnwX5/lH/2m4dH9a4mNJkwFUWoyFhdUYkPgWdcgok22ermWP5WtaO78iELSSTFcBfPzWuaTVwb6kITcCuuuX67lXdxls+yyzFZb120UxhJP26ILKUkFYezG57W7y7SWT3zfyWN7Dydx/M/+e/H63wXwg4dPMDWzfuvX7vrUlSKcdzUWqTtBebllvhQNa6xlpntxJzNLopXrIUY0tT0f9DnTl8iAvCxwVJYMl1uZdego5RhUa+eve1kRUl49WPHSTDfHVCshE80eY/UOj+9L+KcfnebZI2uZGdPMVFPGKpZGBu5qxdmJObirQUrFT2jWI/Yds3zrmTq+lHjKZMv/kA/zpTxOFYnR3H5dzMUXdTl8ospMzfU/DiI3z6Q3yFhYK7T2UFmsIoTl8q3wyz+5wD/7LcNDe2cYxFXCVBIlllpWwx14OJDrfPUymUSRSJUWK5ySogRwMQLy/DoVpETpullbunb2vFXWgdv9IpmRjzE289ZdxeIgIquadBc3D1SjyGKtZs/+ZWL7wpUf+MAHtnZWTh1vjG/6iwf4qdPnGBsb2/bMs0//u4XFlXdjB9SrijSFwFdFx4yxQyYtnAsJchWTFSewBO6cKewFPhvBdumknQduYYu/lYNBK1tkUn1tXBbVMwR+QsVPqAQRtUrI5FiP5U6PB/fAL//BOl44NM10Bu7xqqVRFdQrovDKnfNiHHv7DuDVICRKUwb9CpX82HPA5LdmFqS5QFM7La9DwsjSj0UJ4AbfT/E9jedJtFIo6RUAR8BV2wW//NeX+bX/lvDo/inOtJoM6pLx1NJI3LSBIHt6hUSzmV1ICeBDBi++b/alC3OldL2wYPMEURnQq65dfuWG10ggU4FSliQRREqgsrgsv9bGuJoYV6tuiXsd+t3ld+9/6el02/YrfnZhfvbY9Mzav1iAt5ZOEPWrNy3PH7pzcf4oE03PDZoxuRXkrKNy/UeeZJGq7Enb4cVeLfJghKnt6D+N/AeiOGn5uIe8t9Jm8sRmVYOOubU2WRd+Xh7rwB34Gbgnu8wv9/nQp2p88bEZFroTzIxJZioZuCtOd9eywLIaSGqBzRjcae9KEAER9z/nsxz7TAWM1GMjGJFiaeqaH5qB5o3X9nj8QEQnDhiLDWHkhvX4oatV97UDuFYWJT2EdAkaLFyyWfIbf7vNlx/v80u/u5ZTCxP0xzXjvqCRGGoJBLEbvewrN9DIywNNKYogOH8dkpAYuVar48+hy1IGvj0v+B8Skciyp0MDQK5aLXLtbnKAW4tA8PyegzTGZu4cRJVPDQb9Y39e3P65AB4OOvhBfee549/8O035FLu2WIxNC8M/SUuNvOXy1ByEOXMztKPys3UBjK+SIuUkTvGLS9JkWFeeJy5UJk20dMDWyoHb0ym+l+J7CRU/JvBjGtU+Wvd44PmU3/lKk7sfXkNkmqxpCqYrTpY4CzD3yVX2FBlzl9k7RuuQR14apxdp1tdsdsOtZnCKrGCcKCqe4uZL+yTGAbwfu6A9zLztQWhccKhFxuL5ebQZqQqmxwXf94YujeAMv/uVPg++NMW5uEqvImkmlrq2DuQ6i0OUzeISm4E8I4YMfMV1Y2jtFtdqtY/IqHK8kLuFGNbiCy4shcoaPs0AnhqXC4kiy6fvep6fmL7o73zP21/3bLfXO1j/c8w9/DMBnvQPcc99X8MPJjY01PO3rZ88QqDX0O1rokhnHR8uXZuWak7Ov3uHgOdCDL76YS/8cf7fy5GbZ5iRU9JkAM8bGlI8ZYpajMCL8f2YihdRqw3w/R5/cK/mV35vDYfnJ/GCCusagskgpRlY6gHUsw77auCynZUsIeTqV9JsJXDyZKGd0o18fKXws5tNiuGxWoblBXmqO0o8qt6AdeN9VnoN+lnl3SBysYLnpZnNpzK7Uw1XwiJwdZWP7761yw2XzfPLvz/g01+dYSmp0ws86p6kqV0NTqDBVxTNEDqLU4qVL7sh5QgoKcB5QVYqXbAL5SYKUZmt7KxaGfJVIM0YPMmUQZx18XdCweGFFV5/8KXb9r0Yb5hfah18cu9Jbrz8229v+GcCPIoNb73j1m0rC899dOX0YzSDEKXaBF6FfuhnPZKSeKSTJj/K0Vt9JHDJD9y+EpJHXkbA7ZJDIKQd6u5MbytpkGXmVnkdRoLvOUkS+CGB1+fYbMJvf7nOFx6a4sjsBM2ax2QFJoKURmCz1HsObpmBWxZJoUqmvQPf3TjNesjnH9EcPF6looTLGBar1xDl5fR3mkriRHPJVnjnDR1+554pujVNM7YMYksQZXGDMmgtnfuhKIHcK4HNrQpbpiX/9Ad7XLn9FL919yRHzo2xlFTpeZq6EtS0paozuaIEXuYyqeKGLPnjYghsZw4Mr+Wf9+GAXMJACdj5+bA4x8yVZWRtc1nXfi8SLAwkrdDwybte4qIdl330tde//m0LS+0/U6p8W4BHUYTnedz30FObvvHI4R2Hj/T56e+K2LZ2Ba1SvJ5hEHmlGX/DegVjX/kMrD455UKf0X+wIycjZxOgCLSG7D2ssXDtaBmwVeI6d7yEIAjxdUgnjfjIZ31+98vrOL04jlFVJscUk75lzDfUMuauFel7mdWpZNIk884LcPsuexnGEQdPBXSjgIkgc3EK7TkMqsvJniSVxLGmWdds3xShggGdqEHfF1Sz+SR+Jq+8TKLo3PUQ6hWCV8XMWI+fenePO28/x+9+uc1v/8kUC/06fV2hohU1LagqSyUvPsuYW8ty3DAcPVFm3W+ny7/dtX6lVTsHeO6hJ1nLXJhAPxYs9CUDG3LVjkV+7K1tLl+zbYcX+5uuv+zGY0kao5X3in//2wL83Ow8Y83GzFjN/+yLT+/znjq4ibOzi/zqz5xjx7osSaMMWiviRJMmwyGWpgg4h50jr3SQ4gJ6pPBhy7Imq3rLl84c2DJjblVUyqVonaJViu/FVPwI34toDSIeeUHyB/c2+ZOHphikDXzfZ8oXjPuGum+pBZaaPwR3JZAEgSTIpIlLDGXORAZw33OZz6NnLQ8+XSOKPYK6PS/AzB+j9RxuDIbnae64ocNnvtHlwKk6/YrzgkPP4ifgxQYvMm7nCimyAE0Oh/vkAM89diOpBZq1433+0ff2uHRLyKfvbfDUvjHm+3UGysfzNBUtqEoIlMWXLn2vM6kixbDUQQjXsFEmmRGgj1pc5ZeRzy8Yc5USRKkVxdDQQeoGCS10DVdsWuJDP7HCxeumeeHlo974zJs+2+m0rw7D7vy3w/C3BfjmTVKeO7vvpn0vPDm2ZQ3MtjQP72/y1ScX+bt39qhXFUJatPKIkzQb1SAzFpcj/ZD5gZTPxoVPwOgSKDIDdqgH7Spwu+J9ZwemqOzpaydHtI5pdWMe3iP4xD1N7n1mjKVWA1mt0Kgqxj1L0zfUPEvNt1R9MtZ2zF0NpNslwhdUfLIKPZOB27iVwU9QOuTlU3C6VXGJlUzfrk6c5OrN9UFm1XhGEkWatU3Bzs19XjyR0Is9wmzGtx/hPHyVZhKllDRbVaeR3zy5DRmnrj78/Xf0ecuNy9z3bIdPfrXJU/uaLHZqtKRP19fZdANBIMGXjtG1GMYQUlokqyzPDPSrgftK8mV10ih/X6T9rWt6TlLXxd9JBa0IUtPjLTevcOMuyXMHxtl/VHCm/eDYxVe+7qbpDTvu4dsMD/r2DH52MYjC9Dc3TLxUv+068OsJC1GHiVqE50X4fuhYXDoWTxNNkgPcusJ554gMWXykjez8m36VLMnBPQR27sTkwHZNxI61lUzxczdDxsx3Eh54WvOVhxt88cEx5tp1RKWC1/BoahjzXCdP1SOTHVD1RfaUWclpprt94QZ8lgGuE3w/oeJHWBtz/zMBx89WmZ4UeDIvARbDRt8SddmR0lNFP/TYulZwx7U9vvBYRDf26MeCimfxE8fiYZzLsNRp8AxsCDkiU9yz1KhgnN9eDULe/4Y+33HDIn/6UIcvP1zjgRcazLVq9IVP39doT6GFwJNyyOgCdEmuqHLgWQB3tFirXN1Zvr7n5TwYFnIlVhAbiIzr4u+lgjiJIAnp9Cwn5hIeeNHwxIspeAfr//C6G38zMGcuBfr/QwD/9J++TBi2aC+c4O9/b8pNV0d81xs7XLwhQQiJpyOwrtcxSRWpSkiNygAus8hYFAdxITFSFjB5MDIKcJsBHIQwI6ydg1vrFF/HVCoxgzDlwGk4dkbxh18f456nmswt18GroJseNSVpeJaGNlQ9S9WDiufAXfHcTEJXZipLT5H9u81AbgqQ+55rTzt8xvDi0QA8zwVtJQdFrIqu84ucOynOTXHjnK/YHnLZpi77T9foVwS1RBDEllCRWXsmY+/cTckZdahVCp89syKNUdn0AY9B5FGthnzgrSHvumWFrz3d5Y++UePYmQr7T9eIVgKSQDPQGqmkS+cDWsps+gEoslLbPMDPkLyazcUrWGF5e4UZYW9BbB24IwORMVgTQzoAUr70UIU9h2JePhvS7Ql+9v2zbKq/SEM1vx2EXxngaXhMDPr9v/ORj/329NeeTHj7a1Z43ZUR27cloMD2FV4aumYFmaJTlYFbuXkkJge2yBqAVx3uqrjylcFtRsAtMmBrmRIEbpJqkqacW4Svf1Nz+FSVbz1R5fRylcNn6hAEqJqmohV1balrQy2bJx5oNzjeNUOLTIa4AjH3VBnAyTR3Bm4vJfAce7sbK+LoPOw7VsOTo/bg0IUY1oMXpae5k2JkNtvF47KtfXau6bHnSEIv8WjEglCDn1jCmIzBRaHDhZQjTA7lYqeSDErlsJcy9Qg9n2Y14offHHLrlW1OL7e5/0mfIycDvvZMjTOLFdK+h5Ga2FcIqTLfWg6L2YTzyWXp+ApWL6DMaAa0BPA0Dy4zeZJaizGpa0Q3MZjIvSYpp44rTp1UiGqX1121xDtet8JXH9w7fcvrfvLvvLjv5IevvHTzBe+mVwT4oQNfIk2S7xtEJ+tH58b5W7/hc+X2LrddH3Lp9piNkykXb43wbUIcxhjjAJ4anY1KGy6VNmPxCyUBCoCXJEl2ayCEKfS2s/+cvvaClCi1HD0pePGI4utP1Nhz1OeloxXaYYUwCsDzUU1NoCQ1BTVtqJZ84EDndRp52ayrCw8yWeL7Ct+X2Q1gh9rbS11m0XM6v+LHWBMxuyQJbYDW2dJeCs5W26M5yFMrRvodo8RDoJmZjJBqQDf26GlBkFj8eFgwppUZyUDKcqdCPuwIgc2uQ5qXBWQ9lV6qivETvYHPuomILWtjrrsopB/1+dGjLfYc8/n64xVePFrhyIkKcaKwgcoOSrn0dFb3nNe6j/jdq9lrxC+3pQK6LCKxFmzqulxM4p5xgrYpO7ZFbJiMufSihNuvD7liq2Wy6XP32RP1bzx4//dJqT/838Xg99/3DfYfaann9zwrnnxhkqpSvPCyz559gq89GjDmW7ZsTrjikpg33xDyhmsisCmeglrDnVisxBpJkg19dwAvs/jIUWeFNplLkvnYQlqQhiSy9Aau8+TYKcl/+3pAN1I8/1KFQycDFro+YeqD9kF5qKYikIKqIrPCcOPMVFZ4pBxr+55wSY8yuD2Jn8mSwIfAJ3NNXMrc0wbfS7KMaEy1EjG3nPL1Rxu0OgETY26+i8wygznIVz/y2UfDNjBJGCqmpxRvuWXA157qc6JVp+9JJ1M0eInFi3PPOvPYZersQsqzTmTxN4zVq1rNJH6qSLUi8Zz7FSdeZqXG1PyYW69IuPnSkPfcNuDlk5Ln93n0I8Wnv17j6DkPhKQ38Egj5a6jlFgtsLLE3yOVWgyvtR3yONYg4mypwRWQV2sxXiVFkPLGa0LefMOAyy+J2bopYcy3TE8YiGocPLaWay+aoBPPic1brlQPfOu+5Lbb7/jzAVwIGBsb+4gn1FVXbq+zY2OXYwsLnJxLeHxPhXkkR5cqPLoHPvuNlJmJBGss1+4Mef+bBq6jI7HMjCdcc0VCreaWY0a88VGA5+VqQlraPcHzz7otpqsVxRP7Pe56qMIgVgxizdlZH4Mith5GeKA1ItBoKd3gIOn83YrK7C9lXQ24duB2U2RFaZh+Gdwq69EUBXv7nsH38wKttGBv349RKuKbzyq+8FgD5WsCaTNP+QKFZasYPPfCnQ6XxKliMPB412v6fPGRNp++f4xuUqGe6XAv1+FxXnNji24hkXeRDGv3Slp/FOBJKkm0Y3JPu1EQOkmJYw+tUnrKDdKfqCTcsjvh5t0xiJD3vqHHIHbj3L70UMCTL/lUK4KFtuL5PQHtnsxUkuAVrZQsZWkt1CuGq6+PmBlLSVODSS3ve1Ofa3YmWAMz44apSZO5OQ4rj74QcPRcjWPHJmi3atQbyVU7djY+Yi0/9edicJMsItRkc8/Tf7p795aekiJk87oe2zZ2+dS9hsf31UF5GKEIEcy2YHbFDe95+aThrgfcbBKbGsYmDDddFdGopO4mLQZzj8TZI3eWlLDSVTz1ok+7pZBaElpFaBQWlS2PGqRCKI2UEk8IB2ZpCaRjal9lYJbDGX0O5GLY8KBdI0DeeFwGt2P4rKzWyxk8LT0TAh1jbcTpBZ8orBCMSfws7e2CMDGaxSxp0Ty9PgS5JDVuiM5EQ7F5OsIXA/pJQD8RVLWb7prXkOQJLSXLNR2y+Fvub8gs+WNKQ/BNEXzm0ihJ0iwpprISh4Q4SVFxPmbCPTdOO6dKCMOlWwZEtofU0GoJnnpRs9JzsunbZoCyy26MpV6x3HRVzNiExSaOACvSVRc6iaWxMcTWksoUrRN+7ys1fv8rG9k847F5ImTNZEdt2N7Z/dd+8N3N+cWV9szU+LcH+MvHFpGy9eHDJ555w0UbDzI1BtVql31nUz51zzhQdVJAZBrM5oA1JFhaxo1jQxvaLcvZb+X7xeTgLhd2lz2k4dJmhcDkBd1I8m5hx1KuO0gJN3MvkC5BkTOnlzc2ZCMovIy9i056Rbb1HgW4XWOG2xIl8AW+pigxdQyesXi2J5CnEzwvJghiTi4Yfv9rddA+nhTDALOQJ+I8Bi+XCOdDQh3Y3Pi5KPb4obf0+dMH+rw026CbetQStymtqwK0w06cbE+e4m/lS3Ae81iwRpYKvPKnce5NItFa4aUpsTJolaKVRimXKHM5hjSTRLl7lX9uEMYwXTO847UGRNZRns2cHEV1XqYw/G5YgUkD0mgYr0XJMG4b8p4zFqSK+OG3Dnj6hTbPnvI529KMLyxz5VXPv6G9cuWHpUnP2xPlPID/xse+hZLSf+j5Zb7/DV1u2BVxZlHwO3dPsefMOFSqSK2HJ7PExXl7kiuCd2c3vSCwL2QWltNiedAynKOnsqyaFg68nihn3tyrJ/Om2mEhkVcqDXW10FkTbtbdMgS4LGRL4Nuipc33TWlwToKXsbevY6SMOH5OMN+uILQmkIzIEzk8lOIoi7Nhh5WXo/JBESUeU82Qrev67D8X0k81gxSCVOClFi/JdHiS5QQyp8mBQY3o3/yUu0m7+UYAorAnU23QxpCmEqUNWkm0NCilsp3sTLZSWDcsSGVWrRhOx8rNAMGwTn1Y+Zlr75KvYhnGZIXDVnpfxGqiuFmksBjjsWNdxP/zN+f56N0hZxcCrtgR8t5bu3TPfcW3Nv2zJcqkdxStoNsV/PNPbKHiJa6taBCgA0m9ItE4s7/YHiO/YGS2F8OxDqbEVsM67/MBPlqxlicU3BdUWVZNiwzMIv8su9AiK/3MSF8XpaAUDba+cm103gi4pXv1c6DnwWcG7rz7R5tConja6VPfj0mI+fIjVWbnq3hjCj+XJtKOOiisWrFLGvz8eSOKQegm2L79tV0eeWFAO6nQ05pqYoiUxStS6ZSKonKg5X8pDzSHiRRnHWYzVXJpZATaCBIl0KnMOu6zAUFSZXX1acnJGuYiRJGjKIOcEfY+P3spRhI851nJ+WelmyJP8oWRwfd8brk04ZodA1LTw1OCc0sNvvzgHFKcn9AcAfiv/c7deF7tdccO33cDIqLhVdBSIBWMB9lwTJFl6DKQDtlbYMlGPawCeD55qshaIc6TaHmtg6SUMWN4IVV2EXN9m1e+5e+1HC7dZWAXc1CyWSj6QgDPA85cd+tclthMb4/WkvtejO9FnGsZnjnkJJvO5ImW5QKlUqavHGQiRlq98jr6IuuYKuLY49qLQ6bG+7SWa/QSRU2BlziZpVLrnnEZ4G45L/5UPkI6B5MV2aSCLNusnB73jCBVklQZB3QlSWU2O0Vm9S95eUQJ5ELa0SyzcHPfh4vxKiKzoog/gMJKpgT0MsjL/Zx5RnsQGtrdfLtEiEVKGMdMTfVueM/bb33d97/nMw9Xpr/vwgBvaIPvhe84flJfo6OEHRNyGPGXWXeVAWIKaeI2IC1nqWzx7xRLz0gtQom1cy+8nBwpg9vVew9b3wqQy3xwp5uMVAz4yZqf83koXqlH1NM5e2eaW1Po7dwSdIw9BLeX6W+tYwQxdz8U8MieBjLQ+FK4+dtFBSGlmuoc36uzmcPRaHn9TprlE/oDj1su7/POWzv89t0NojSgm0oqqSVMhqtVsWIIg5AyY9Lyn3olJgeTzYc0mVQpwK0MiZSZPHEj9XJpkpcjnw/wYTFczrrnP0oZ7dU3Xgn85RqmcoJwJIyxw38zJuKitfqas2fVO4wJHr4ggy/Mn6FRr7/l6/d98wdn/DY712qibGOivKtitIaA0t2WL7d2BNSrB/Sc3zg8/ObDuoZSTUPO6iVNK7MpUcMC/XwLwHIHvShetco3kBV4ahTcbpzCKubOejb9rL3N03nDQVJ6xkTE/NH9TVIboIrsZTnAHPY15s7GiAYnIwOTyxTpgJbmwaZG4PH+N/b41JdDVkxMP63QTwVeQsHiUlpkIkqywQ0yHX2UiCqfTpVrf22zBgOBpwypsg7o0jrmzrYkVGnG4ir/O6CKLHMJ5CPJulEiG9XfowA3lvMYfNh4Xo4l3H+by6s4UfQGDVqHLZva5gdvvPmOb508dfprmzdtHAV4miSEYXSxMIMd9SBk7ZRHp5cSJm4YZjGQx5bAa0rLbDkFXSqgGW0iHpU1qzBeWorKDG4LJhxWtpUALobAHo6JKM9BKQ27yYCtlRg6KYUd6DruXWOyzZh7GGDqEnsHXsQzhyQHz1SwykNJiS+Niw1GaqiHd644/2oXFyxPqQ/9agfyOPHYsSHmsou6PPZylVj59BNBRYKXWnQiUMJm8kEgk0wL4+Y9jv5JUWJxUZJG7lUXetyiUwd0ZWx2E4migVumFilltqLKIcDlqP6+EIPn0mQI2NHvU7ZOrXFHsPoGGO736eYfhpGk3VOcONunMtHbEcfxxXGcfO08Bj89ew7PrxAnKzRqMIglxlh0YogTN/gyLYbzMByjVmLrvF3tQkzupEx+gOeDu6zbcgaXDJf58gSmvEovB7nO36sykw/HtGmVj67ImDsb/uPGmdmi0zwfJ5E3J3sZuH3tEjuedu6JJeaP76+xuFhFBF7m6pQCv9U1KOUDLa94ZpRVR7xpo4hizfSk4H13dHjmUJMwrdBTPtXUaXEtSqtZYgtnS2AyT9yW2FyOsKa7mYbj8VIDOt9eUCqUMWiT95QOE0vlGvwh+eQ1+8Nr94o0lsdjufYuZEYOYjnS21usOEUjTXaeUtxWkpGgN5B0+5b+YJk0OkkShedLlJ//tc9hEfgMWD8m3YaogUBK6YZhpmJoM9m88zlLVJRdgWx0xEhRUYnByyUJI9qqXIVW0q+y/D4fazDSdZJNZ1LDVwfybFxbBuycwX2d+eRevnVgluHUFs/LJUn21OnIUyvXufPScfjsvQ1C6aOkzOzB0ZksqzOYq4PqsrU6qsMzLZ7JFFKP9715wCfu6fHCkSqx8uhJiZ+azB4VjlWLm98iihkjuaY02d8a3bfIlpi8ALfJ5Ek2t2RoEYohyEW54YThyLdVAH9lB6X8t0dXFlN8Vl7VStnY1NXwFLNTYjf8c8t6zdbJPfTPvUSaDM+zBjhy9Azbt62v/Zff/Nj2w4cPEUZOW3naLUXa2GEwUswLFAWYi9d8aSmAbc+TKSMFV6uih+HJKQdow3av4YixTJpIkGp07EF5apPWOdAz7a1WgTtP3+fAViZj9BzcJpMnSfaMUV7EwdOaTuSD0pk8savKY1cFzqtdlJIeLl/oPMOYmHLiR1P3BLs3DnjhYERqAvrGp5IKPOnAKDOpUrB4MQrZkAeZw56AYSIlX4m1Fdm1EmgLRrpxesowDDKzljZZ2JN548mquKkE7PMkSn79c9YudX6NSpDcVVrN3MJNHM4HfaZuCpa1ljiVvHhwjFa0Y/v3fO+P1dor/7TXHF/nAN5tn+Pgyytv3rFt8p/Mn0vpK02SWpQFI21WxpjNqjAuMHID6UXB5IU+z6VLaZlZHXDCUI/nyB4Z5DMC8CGoc10rZVmiiJL+zuYRqiFrl3cx9hSZF+7A7QA8HApUMLhexd55X6cfsdQx/KfPNVjsVzJ5MkzulFeVMshf6TFsthXZzitlBneOSpJomjXNT393h/ueabIY+kRS05cSv+ihLN9cbo5IEeyJIcgtJgO3wSIZdVZExuJ2GMuYfG6KHRm3PAJwkRcVrppOWzr2kURgIV1LgWUG2OJGL254CsC7hnaGiarSbs3GuglZswt9tu4Y/yeHD7/8cL/X/9OCwXsrzxB5PiI5Ri3oMoia6HxqkRqydGpGgV7M7C62ymZE1+Usft48b1hVeDVk7bJEWc3iOXjOB3hp0GYJ1Pl21kUWU5U1tymCykKW5MBWaTZLZcjenorx/Yg/vN9j7+EqSA8pJYFcVfxfklb5FX/FakLKUm6V1syYPE41SeJxxY4e7761zSfuqWB0QF/6BFIMkz4yd1JyV6PE5NYMGyIwJUtOjgadCpR1q4IxgrQYfSdQRpCWk0tSrNLgogg4X0mSFe6JHZVmeTe9yRm6xN5pmbHLoDalGCb7i4vdkEdfOMxiLyWMoqFEOTar8QPNsRNw7ExCrWoJfAeqIigxjAI7LYM8G9JinYwppsTmc71LkmW4VK3upc+XNnEeuB1TiBENXkyPzYdHyvJAyUx/5yn7nLlVCdz5rEJtsn7H85lbK8fennZTq5Zbhi99s8FCK4CKt0qevLJEQaxKbJXt1lJizLFXqRMnkyhxoploKr7zDT2++MiAxW5ApDT9VGb2ZO6miBHXSZT/GKYoo3UfmUIu5EyqbKbF83hGZt9LQlpyrQrtLcUqcJ8vUVxcbVntfQ+NClGSu2KEqQsZUmzJnoE7zSVx7ti4RpWLNkou2inYvlUQRe5L6GNHDzM1ObHtoUef/plDh/dgbZ1q4OqgpSSzskoXIJ9kldqsYCcDuhy+DudDi1VaPDfw7Spw56dCnKddRQnYQoyOF5NSZBo8Y3ElXGtVBuoywD2djywry5Ky5h4+tS4ndRK0cpnLo8cELx+vYAgQUrsNVoUdJlxGAmM3zHJofw7hNirVMomS69Ei4TPcACpJNVjNJVsjdqwfsLi/ik19x+KpKPomlSwnyTKpUgS61oG6aCfJpErRlJJ9FykKUBuZaeFSl30qGXG0ROmmEgyLy4Y5SFv8zYK9GWJjJIAshuePAttpbVtMuxrGfO6XSel6EKbGfNJ2C19O/MwlV13/3JEjh47pWiUC21u3aU38lt2blgjjejHXD1FKJRfbVVCIe9cCZd1eMdL5pjngi//G2uwCDjOi9gLypFjWMj1ejHsTQ3AXJ1aNzv8uQK4yTVqk6HOgZ+DO2bqsu8vgzirocvbOK+q0TlAq4cuP1Tm4UAV/KE+8kYs9yt4S+HYivCzd8rT1qJtSKqONNBdNR7z9lh5PvlQD45OkTot7aTbkMx2VSoVUOa9EOWdwweoki5EUryZjcCnBZPPdpbFDghFk2UxRSLLzs7ZDDh+m6oeGRFl2pCVJkm9/kqaWJLUkaUamJeWQY0oAA+XGLT+zf4HqmuQtazYN1rU7yTFtjLtTpLRMjxmsiN1uaEXqPfujqSAxbiKo22BoOKAlSdyUpTTN0ripKQJQmfmtw/G64s90UcpDH8sZweES6W4AJTJwKzlM2StKIM9Zm2zKVXnSrCl2HdM6LSZhudcsc6mc9q7WQh47IPnTb9bpD3yoabQUeKIUXIrzA0xKq9EFAQ6jGniVZVj2xeNEM9bQvOf2Afc80uOJAz62rumnAb5wNmXeFCxz/V1oYpEp4CGjgsWqfEXJmN0KrHJsnoPa2EyqjEiUPPC3SCNGb+w82CxjvHTNRzOp5b5RCtbOgR0ndkigabar3CqQGzOM7YyFTjfBpJkYs6CVDJF41IKQtVMD4oI1RCFJ4qy0Ms63h0skKnGRq0zyeghBIiQyzTRgakll1mInytbY6BI9ytyjmlUU3rcYLocj+lsM54BnoB6m64fDJXP9nYNbZ+91IUmyOug8wNQZe+sE34+Io5R7Hq3x0okaeB5CqgxUthhIX4xoe4UqwmKuX3bihyloO8zcrfbCV9mFUaS5dEvCW1/b5fljVcLEJ5UefaPw0+wcpOWgr9j50v2c5uDOpcrwu5DLEmucBi975QqkyUE/fC9tSZ6UJMor9TuMDszPbuZ8F72csQ0kiSVOclAb93OafZbYbJMrW/z/p8XATljpWFZ6Cd1BRGcQoQ/vvRuLRoslpicjt2lnkndgZ4M1E5Xte+g2+1QxpcEzq8ftCkghFRZhLEbkW3YPn6wCOGUQrJIlQgwBXQB+tUWoGGXwHNzSokcAbTPWtiX2NqUA0wxBrpz2DvyIPccFX3ukRq/vQ91DCjEyM6SY57c6i5kfw4WYu0hrCoZbtIwyuC02YVVFt0+jEfHW14R88YEBzx8JQPsMjMQvaXGZjn4f0vIq4kAuctlQsDjoclwgcQyffScpQVmQNjvGLEmar1iFRCsFmReyCUesyZI8SUpaO04NSWKIM6DHsRvmH2dZ9SghY3eckjBOUcSpoBd6fOW+Z3hhz0HCOEWnyQFSI6lUB6ybaGOMTz/0GEQueo9iRRwrtwd5rNCRKnznYS3C6nSdSxOnWT2EEIwsJUNr50IMLkZkyvAEimKfnyJ7WRqsXxRdlVq68tngqgD3kMVVNpjTK7pY8qfT21rHeF5MYlPufrjKg3uqUHGtcr4U+MKeH1iy6ln+oQSuCzFakd0zQ3chtYKRnYaNIhx43HZFj7e/rsfe4xWSxMNKRV9ovLQU7BoQ6ZDFY2FXQa6A+HBFVU4tq3LjgRKOqY0odLjKWDyPk2R2fUdu6LIEL68UrJInJfZOUpPJELcNS5IYt799km3LEkGYTZsNE4gSQZgKBqmgHwl6EQzSlNr8Av10mSgB/R8/50C8djLibTf3uXxrl2ZNMzPh0e0HdAc+g9BnEGm8yMtqri1SquxOLaV/GS53eZglhHGdTGIVg686/qEHLs5j8RHXpCgRHTJ3XiuROyfnMbfKf87kSDGt1WbSxBTg1rn3rWJ8L+a5Y5LP3t8AfOd9C9fYoHN7UAydi9WD44fh1vksXtSkUGLu3FGw0kmFVGDUUKa4VVVjreb9b+zz9UcHPHXYTRKIhaKXClcTk4McW+hx0lyU5G6OLVYRW7og1jrmVqWbL9/AQJWkhRIZg1+guXok0SNWHW++UpUKvdLSPHC37+cQ5FFs3Kz0yDKIYBC7gZzdWNKNBO0QuqGhUhmwptFn1+Yu739ThYs2BPRDi96xboJ6INl7wuef/lbM9uk+r7l6wBU7Bly1vc/aSZ8oqrDcqeINUrT0kcIrHBY3+kAWB55/VkgQ47xGYe2fqb9ZxdrDBI8oUvVSOBCXS2XzfXhycCu1CtzZRKhClhTSJM3atLJhnXrI4p6XEKcJ33qiyouHqq4yS7rg0s+swZE6mcIXvrAGH3X8h6vZsADKrlq+R+vETckXDyOPy3cMuO0mx+L91MMKRSh8+gaUESiTgTsdOilDo1KMvLcZ+goAZq8qMwakdSRjrWNza8Fm18bY82VZufw5f7/6d9vStoOFO5LawjWJE8fc+Zz0fgi9SNAJ3UDOpR70k4iNU13uuLrDZTv6vP7qPhsmJC8f38XTe6ep+DH66kvmGasJYply1+N19h6Z5pv7Y6p+yK2XtXj7zR3uuGaFtZMRy21nIeY9o8PhkXboYeaBYH7hyiZ/7oOvGkW62kMtuyZlC67czDvcgydncltIFHUhcJe3M1Hl8cplYOfa21UNHjwr+OQ9DcLYg5oHUuHlvZ9idJ72yMXNA8rzJMorM3hZpqwuNhp2wedaXFMPJD/y1h53P1jnwGl386VG0TcKL82SPqXgcuiguD8+bG3LWL0ohCsFvtYiESU2z8Bu8p2pHeBNVq47mr9YxeCrZNlQpuTbRtoiOZhmjkk+/H4QOXC3BoKFULLUTdkys8Ibr13mO2/pc9MlBt/zGGtUObdoOHC6x95jinolRf3gB3977TMv13/18/edvSSJA9aMK3zpEcUV9hxv8PDeCnsPWXZv63DxpoQkzUez5drQVXOlqcjKaUubhZaYKx9MUw5Gc/kx3NeSYT3Jan1dSt6MBJLFLgVuJ7XzpEkmRbyctbPkji7S8Zn/nTUy+DrG0zGpjPjEXTU+9bVxqAQgKyilqSk3PD7Ix1IUWdK8NY7RcoFVGdZ8gH15Dnd+fLKUEc1/LnZdEMNyVSXdirh5XcTpBcHTL/okwo3UsMKNWNMZiGWZSXPplLNqKQAeCRPyt0KUiuNWuQKFpBkSWHbrjN64Jf39Sk/H5FnjRUoB7jCGfmTpRtAaSOYHkqV2xM275/ilnzzHD92RcMnmKkk8RrvbZG6xCSZg04zh3W++dd33vOPt39ALs8fHzWDwtgkpWb+RQth3Y0lrIFnojvGVZ2usDHz+zQfnuW5nK5tWqghjjY7cbl0j8+lWsdZI6jY7aWWNVs64rU6ajHjMMgfBEBxOkmRzynO5koNbmqH2Lj2VSgt7UJ0XYMZ4OuLlM5LP3FdzM1iEY28tybKXo8Hlavckr2MfAovhySlkySqZYkrJFjv0h4v5hTmppJJUOT1ujeJ77+jxhW/V2HfKB6kwqWIgNJ4QrmczJ5V0uD8OJfWdp4GGurwkUSAvI8ciUCVmt9J16SvpwC1EdsNklmnZ6l2dYrKlFaGIy0Y+GyqCOIF+JFgKJYvtiNddMssvfXCJa3YFtDoNTpyr0e379Aee220kEWASRGDe1h2cHtfrJlJ0alna4RGlym1AOjB0B5a6Z6l5gqrv8cTBtfzCxwT/9ifnuGxrl0Ho42kPKfXwhs4zVHYU2G45LIyxIeCzk1AGtFwF9PJrvvW0Kr8v7TGTA3u4AdUQ3EoPwT18zYba6CQDtwN5qhLuerjOvoND7S2FxBdkTQbD4HIkyGJ0eS573+WVeuRiF4xXKkor6++8ne28FL7Lbl56cci7Xtfl8GcCIqNAeiRG0RciswxLu9GltiQFh4JktGqllAgir1EZAlFKUAisNUhXrFRcPytyMyFzbySIkfkmQ4Bf6FyUV3hw3nacQieWrHQTbt65wL/+8RWu2F5jdmGMlU6Ndten0/do9zTdvqI3ELQ6MVsiy9hYjB5vSqSV7Nyi6EceK11Nq5PQ6qRu0KQ22XIseergDD/3W4b/58daXLwhpN2tAFkkPLLT2qpAsziCouIEcmBDsTHsBYEth930suSYDHW3LZydXLqo0h49QwfFFuMQcnlSMLdMnTWoXMf8kbOK//L5JgPpwF0El5n3Xd65oew3FxdHrFq1OP9xPnNlNSk5qM9rSM60uJXZoFNNknoEacLfeE+Xz32rxuEzGmQEKCLh0c9zCGnmqIzw9agmL75lqZxCZRqjYPPMsyf3yfPXXA7JkitmHbjzVrZME5WAbQvQF06ZzQvnHHlZ4bzt5T5ctWuFX/6JRS7fWuPc4jjL7SrtXkCr67HSUSy3Ja2updVJWG5H1CYM0gO9fqbLZK1NjSXavSZn5ivMel4xvVTLtEhtS6l4dP80X3gk5Ge/e4DWTYwRREn+HBr2+TKbH0zZKy8z3WqL7fzWtAuAWw7BnUuSoZuSgzv/d+OkShFM5ludlGpNMnB7OqIdGX77i01OzwWgPJAeQmTBZcn7Lm/tsTqwGta2X7hUdgTohSQQQ4mQg73M4lYWsU+R3ZSuXnzTmpAPvrvDL3/SpxW7wMAYyUAosoF3w/Q9pTT+yM036tFnbkB+9dy/S4oU+BDcQ2bHOrKy5byAKSe77FCSIrD5bPHsf3RWr+4ZVxynhCVKBaiEO29tce0On5Ozkyys1Gh1fdo9TbujWOpIFpZT5pdjzi6lzC5HTKyPMTpGr3S7LC51OHJ6iUu3hjRr41jbzPxWZ9HlOwP72tALPe5+vMl7XrfEpqmYg8cl7a6kNxCud9MMtdRq9s5fRhoZxGjCoNzyNewHZNhNPxKMDcGtzwO3KVg837vHTWwqa27H3Dl76yDmT+4O+OgfNwmN54rIhXZj4kRe75Fvpb06ybPaRRDnH/wFWLxg8xKrD+s1VluFItPgsuSqaCo64afe2+Xl4z6/e5cHMgYUiZAMcFJFmZJdaPJvJVY5WqtALmyJtd2ryoCZW5v54eWAd/PCLabQ42L4e/M/J4Z/v8CBtFgriwI6IaAfwnIXLtnY5h03RswvT3Nmvsly26M7UPQGknZPstIxLK7EHDyVEKmIiy7qsHFtn8mxAfrkmSlOnIa7v7mBy3a2ec/rOkyPV1lo+VQrLpkT+JJ61TLRsMTWQGB46VTMybmYIyehP7BFbW5xOYUY0aLD5egVwD0iS4YzUPKf9QiD24Kty6+5a+JkSw7uoTQZTmxKi2eeufS8mKVl+Nx9NZZDz2lv4SGkzMbC2SItPyxqKtVhSEZYcVhVt4oYy/KEC8iUPHV/Xl/iUIOrVGGkcVOqjCZJNWN+yp1v6vGFh2ssdrL53SaTKkagskSPIMtwFr74aAiYy5NiZZEO1GUmtzlopYDU/SylzUvMHYNnYDdmFOTnYaHAR/ZvngAkzbqi0Yix/gpTzSXmlyULSYOjp2sMIpGl7AWDEKLIsNCyJCriu27ts3NtBb/ZxK+OoS/aMs9EfYXlOcPeUxM8/FKb6UpKFLl+vFp1GAgGHlyxs8fUVI/f+2qdg6fGuHZrzJqxlCDIWsRKHTZF/Uj5wMoHlwePIz73cPvvvEUqlx8jAC+ButDhxftRYOc6uxxklvW3VgleLeLub1Z54sUapqS9pciaisXQwhuyzvlZvNEKq1f2gx2YhrKknPApSmgzTT7s2ZQomw+1H/riSeqhTcLNl0e888Yev/9lH1Sc2YaSEJU5P3kibdjWNpRUF2DyEaunxMS5NYjFimGug0xymCIDNAryXIavlqjF9c5Wa0+7LdLXTKb85J3LHJ7v8fG71zATeFkPLcVIDmvB9yQT47B1a8iGiRqPvqiY3thhckqhH3xesbykaPUkb7sp5rEDgmfnYetMSrWqCDw3CL4aWMbqKbu3JigtiUOfXk+z2LZomdJILRVfZuPRJDq7SDnIrbVFAIYYlSQj4B4J4kbBrUs+cKG9M8dElZjbAT91kkSaUd0tc1kylCeBF3P4hOKTd9c51/HcftfSsbcnKTKXjrlLQeV5q5I4b5W6gEpbjfLzvWHy+SC5ZSgx0o5UGpa1uJRu+5O1jZQPvLPLwy8GHJ6VkHnjqZAMjBh+9xzcmVsxpNFvI1fKWU8psKk9/6AkYLggyDOVM5LdLE8qU1kuwdeWasXQrCVMj0U0qwJfezxzcIyakezaNKBZ01T8bKMCT9KoS75jh+VM2/LVJzS7N6a87qqU6ekUvWl6inV1QzIRcWgu5KmXqqytWxLjJozWKpZGzdKspUyORYw3eoRJiNABVgqixNIP3ehikXdxZ8NncgazxZGNLuEjIP824HYnwZQclJJzkjfErmLuV5Imw60Gc2kSEaYp//UPmzz4TM1lbaTT3kLIrKl4GFQOA8yyDl+lvy8A5tU/jyRCRqRLLlFWdZrboWWYGokyciSFn0iNijW3XRfxk+9v84v/1SdMZKadJDEe/bz0gXI5rWPe1XJFAOkFAs/i+0oBKS5lXaqMdAUrDuRWitIxDt2bAuRiWFPkKfCycdWVwFCtpPh+6la02BKlKYMBzC8bkiShUZXUjERLD60EzZpi++aEc4vLPLF/jA2bJtgaTaFvu2aeA0fn+cg3O+w5OkZgA2bG3ED4agD1qmWsnjDeiJloDmjWewxaEYlVWERW6ujqdXUKOnXmv8kN/1XdO0VppSyDfHQc2/ngzsCvRm3BcrBZZPkKMF84uFQl10TJGD9I+NpTHl94sEYYeVB1zglSosXQOSkXVY3Un5SOK1/uR+QYr+CklJCdA9thyBYsvnrqU9kfT63IZpcopDEo4yZh1Wopd97W594H+3z9KTWUKkgiody4DXABYFkyluBnhCW1ZJMmRkE+AlYpRv9/pHXF/3J494qS3Fq9SJSlXn5dy80oSrqWOoeBkIV+g8WuK+CzWSuPp1LCSDC/rJmZaPLe25fZvvY0J5e2cXylhv7Cg02OnIh4cf8Y080K66ckU+MezYakWTM062kG8JCJRp9GrcMn7tU8c7TKmO8uyLAiLEu5Wlu6MOcfUDnAFCULsAD7eeAuS5FVMkXaDMD5fpklcGf2oFRp9llayBQpXWC50rXc/XCVA2crTpqIUfbOKwdlBvLcJlx9LDIDzUgu/BXck5E6lAxWRaKHHNS2YHMHZpF12JSYPJVI6dg8TRVSKKJQs3tdxDtv7fLE/oBWqEDEIJwLMxByZGc0xKhUEebPI1cuAPLMccEMVwMhHDbIEj6ri+1GYplSfVGxgS4wiBSXb7O86zUr/Ls/GWe+rzOXxSJEWkww87Xi5RNNNs54XLujhax7CE+ifVlhohpw2SaP8aam2dBMNCSTTct4I2W8HjNWD2nWBsxMdDl8JuLuRycI44BKLevFW7Xk2gLZZctJjCzfZfY+Lw1fCihfCdyjssSMMrcspeUzkCuVOImS79SmEwwpv3d3lY9+vokVuvC9c/b2C/YulQyIUiBciiGKhAWcp8df8XGeg5KteHbYLmjsquRPZhUaaTFyqMWlUUjjymmVTvmp9/Q4dMbjo19QxGnGJEhS4REKNxNcirzlzN2YogDn+XJFCOuykmb1AYCQpc9lnuRxMUO+CcgwmB61lIYroM2k0/DGMlYQJRpfe3znLT2++vgKh89MEyiJ20rFgTz/JnGi6PTqBJ7Hpq1N6s0aOk5StIJNa32mJnxqFRxz11Ka9ZixesRYfcDUeBcr2tzzpOKFo2PUfE2gXPD17UpDy05C2U4bAfcI0FeBuwTo/OehY2KGeluOyhJV2lsm34JjCPQY3084dFbyhQfqdLse1DT59nhCDMex5Tv8lkdCnFcautpFeWXufiWMZxd09Dnii5cHA0mJMWaowY0iNSYDuSaOUxr1lPfc3uOeh6ocOiuHutBIYqHpk8cOZUdlNXMPfy7+twTmoWk06rKUf84XA5k3cwg7vJEvsE4U7y3F9Nj+oMIVWwe87aYFPvKlKmc7dVcZYw3GuNa2KDb0+orljqLqw9oN1hHa7u1V2is9akCtmhB4hmqQUqsk1KsRjWrIRLOH1m1+/6vw65+ZoRfXWdNwW/PldSDnBVh54FVKgKyun16dkh828K7yuLNqutHPDPmsagfsbPvBQoqskisF2N0oiDA23PtEjfuerbrh4MI5JwiJl7F3XlSlsp0MLlhYtapCb+jrnn+vnwfucqJnpD6j5IUbgZF2WEYrS0mg0haEMgO622RKEw9S7rgm4k039zn5FY/QqILFrRBEqKykNgOoyIPNsn3o4khG3juQi0xfC3M+uIUQWf2/+64iK6DKf5asXrVKlqkdlggnqSSOFZ2+z/R4lX/4fW36yVk+fs8GznSrJFaSpIYwsfRDQ7vntniUwrB2oyTCR2/dsnllMNG6Z32t+11uFrhEa7eTb60SMdHsIUSX3/0y/PKnp1kYTDDRUDS0IdDDDvZyfcaFbLPVRVSjdSd5Or4kQUquSqHJS+n3oZuyOpgsA7vE4CpBSuecKD/mwacCfuXjY6RWg86lSck5ERQdO6r8XaUdPSZW3dSr7UOG52GEqewoyCkcFNxYapnvmEERbI4CW7pkjx2y+VCqaOIkJQhSfu6vtTlwSvPAkwrji4LFjRCERlLsy5YFnYkdZe7ViSB3oKsCT5EFlzm4zXAmC1njhTHZDPH8GFi1zU2+Qlk73Jk5cdMEwsin1a0yNZ7wL35kBSUtH7trA6eWa/TqirHY7V6tlevVtFJxVVy7Z926jSvq7/zoSlfz8mHP7/5k4LUZb8TUKiETYz0mxzp0B10+da/iVz41w8JgikbNZ8q3NHxnOFR8CEY2dsp8cCVR2SzufITaSIOwKhVHKVYFjaOf5fp7KEuGgeWIDbi6JDZ3TnSSTalytd6nlgW/8skxHn627rJXygPpg3Q7NVSkJchqtovJWHnPZ/mmk2LVe5G1dw0TXRd+ssoSHQ20c9doJNtbtiVXNVmMjlAbDsXEwvRUTKANT7zgs9LPtbj7pcap3iGTj6zCorQalerGRRnfo5+LkVV7dAOA/N+KqQiC0Ull+TkRw5yIyu3j7PhMKmnWLK+9vEunP+DgScFcS9NPFJ1UsjwQ9NMBqgJ7j5/9wJceeO6A/sjnZtBKMbfcY8f6M/yN71qkUbecXTB84xHJn9zf5P4XJ1gcjDFW00z4loaf7fXuuSGWWpdYXK26gEKcdwFXX9xCfuQHt6reRJbBvYrB5SrJUpYkUpkiuFQqRqmYNEj55Beb/Ok369iKylwTV++db03oi+HGVyPbp5THoq2SZOeXya5WJxdyx4cMWWQzz3uKVfIkkyV5N02uyW2eus/m0wiDFJq0l3LnGwa8dKTDh39HE0knU3KgJ2j65ZWmkCwZkFfXraTuWrsdAy1pVuOe/5wXc7nPhk3PMgs2jQEjrHOEMudNGTdeJJWCRGVDpRJJJG2225t2N3h2xsYbgp/7/j6vv/oUn72/yQPPjXF2vobfMPyNdy1w/cUTdPqBk6wVuQaBYrre5aL1S9Rry3zuQY9PfrXBc/vHOL3UQFUqTDYEY56l4RtqHhnA870nS7soyGH3ynBQ5jBrdV4gqUp3b1lzr9bg5fT8eYBORwPL3C2RziLUKkHLBKVTvv6Uz8e/UmeQZvUm0stA7mpOXNbSDhM7JffkQtWPo3UolmIz1gsK8lVLe5G5LCV48vcGkMOJvVYydFRkaX6KcPvsSCNJhXs1ItfiBiE0gWf4a2/v8ujzPl9/1hXO5l/cWkFkVFEkJQtWHtXjxc2YJXKKz8ToMSEsIpMraemmKbruDVlW1pIKkPk0KymynkzcYCnpZtPLSBUMDu5mT42kUfN49y19XnPpCk8faPOpr9b53IPjnDjd5KLJSaRokNgU/SPvOIJBUdF9llod/u2nx/iDr01y4EwT5fk0mpKmB3XP6Zx8e+uKx4gsybcKGV2u87qUcqNweeOo0doSWXqOgtzt7HWh9/oCzF0UU6kEJZ321l5CL4Rf+tgYR04HWE8X9SYFe4t8iz5G2btsEYpVy/EIlocWSrFMr+ZtO/Jy3mejrVwCWfjh2Q5pclWGU5Y0ucicFekSQCJ1LJ5Ehos2RPz8j7d49B8HdAYZwPN97Up6XJaKooTJgk/rtLNL/jjQr96RsnycudOX++BCOKbOCSHN5raY7HNpBEnWLJ2k+b0nS7JLl8BN1lGm6Q98GrWQt9044JItHXZvTfjcA9PsORIy2UhJUov++De34GnNwvIKDz+n2H+iTmICJhqSumepakNVuz3fg2w3hKDYBltkc7ZLg+eVRGn3WmwnUmbpERYf9hoOgc4qz9uU/s0M5Un2Xo68ZjvyFsmdjM11Qpwa/vOfNHh2f8V53iNPkdWclIG9GtSjweUrBdN/pj2YL/2rkj0jwC5/VhRgDT1xW0r6DCVMDmyLSCVCSKRQmVxRGKu59pKYn/6eNv/uD6WrsxbKTT0QYKRHmCWU3E535zP58BBKMiRzUtL8prBu0pTIMpdpccO71H9+jtK808iIYqZiUs4nxLjVsCjNHc7HdPsXKaJEM4h8KkGF6bGIv/veiLfcsMBcp4HnNbE2Qb/p1u9ncrzB1x98gc986S4mggBPWSoqdZVbCtdcm70f3S2YgrlzmaJKFYXFGLUiQCsBeJW+HjbfrqoKzDW3MiPp+Dw7qctZSjmUJ06iZD2W1Zj7Hg/43T9u0up7w4ylzHstBUGJvVUxc3B01+LztHfZ/x4JtkY98ZLNcmH2LrN6kegpbxyQechyVY14Lk+EdLrWZK8iSwAJhZAGYTQisTQrhp94b5en9/rc+5iCepxlHx2bJzh/vADwyNcfglxk/6tG5Eu5Uz+rY8mtRwOpyNg/zRndZu8z+zUVJDIni+x3xUDmd+cVlUnWDxzFCs/TeDoljDw8HaC1YcNkzJVXfQeN6etJ4zZ6+3rN5Lji4o2SLdOGQZxS0Q7Urhs925NRD7vGPTXcUNWNJs42ecrcE/csd4sPm4Nl0STMqq75UYuw2I9xRIcbVgeT+eakOXvnOlzmSR0vYf8xzX/5bJNDS767Q4tyWNeB7onMFsy879Xp+AuPZLsQ2Eejy/PDyqFeHSmyouwHl+zCkZFuQxvNlBm89D41EllYh6oAfSo0MrVOqkzG/M33dTh2TnPwjMBqWUgVhCCxioHFzR8Uwk2wYqiBKYH6PJ98tJuhsAtHmFvggF28Hx29XF7mhrapLHZ5SFJJoo3DWqyyWTcaTxsqfsr8kqbn15hWNZIoRa+fiqmPJ6ybiRhrJoh2wFjFlEYPi5LXne8ePGTrYpu+HNx6FNx6lRWoy72UF6gtkbmuXp2tvFC9SbmISuagTpEyLQqpZttOd3/h/jrW81xdplBZxWCeki/Zf8VuyuW6k9XyZJUkKcsUhoAf6vES0MsJnZHkTi5HzEgbW57VlJlMKQbvGIEVImNrS5ot56mR5Ftsp8L54kJYx+apxpMp73lDn9ZA8E/+nWK2JSEQBZNbBFEWagosQuUuybC3Mt/fSpRqT3IpAnnav5QYOk/iDO9+QTYDLv8lpRNXHobkdoDOivoSJ4G9Ui5EawMkLHUGDJZibNUQRQY9u6yYksG5Vlt/bfem6becON3NgOq25BvVzUP54cAvS+DOAF/aUSGfETgyHPMC7kg59a6VKWnyUrYyL4MtAV7+f+29d5hlVZU2/u5wwo2Vq7o6VEc6N90NNNDQSMaBQQfnEx1HfSZiAOdn+MZRx29m1Ek6AXVGRFR0FMOogIhgQhABJdM0NNA0nXOorlw3nHP23r8/9t7n7HOrGjEgOt+3n+f2vXXvra4b3r32Wu9a6120JRWfdurobGUMgdvvL+KuRwpQ1LwgajOWTItoEmRTGgimBJTP557QFmC7gP55lnKc8UzlytxlXJPMTXHmITnuCiE24NRuiiCa0REpwLXxSBIPAVe44JQmfnf9JL78fYYoMTvckoSEI5IUzA06gTQFT1TeVUmLStI6FZWm4u3mFu7JlkrJmbtEfipEfp6nPrESY1iZaCUmNMY8JjFRoxCYi642/465M/nhyUkC9vGPX4PTzjh91PfpaL0Rv27/gSOoljwUAoLQo2Zgqrkw29CQDVV13RP9mCOEwx1xHu5IOuQaFVq7cexjTp2Jm6V0bnMnBW9LYDmLwVkMSQVu+0mIv/9MG3YdCnVCh/r6wriWQKZAgaq05ttLu+aVI87TklGlpIX2JOa25fspcjrmxNBdNBPtdxMbbvnwVDrS/i2V0ZFwGi7o1GSPe9ogpS6zKcQ2u9hZEVi6MMa+owzb9nA9w9Rme0ChCDV9lTadbwDbQn1aGKfW3dm4eWVd5/dbFpnmFqBPDgmCVKjfmdVjlY+jhCJKiJGYjlGozoFE5V0H9u946OSTzzEzeg7GCAKCY6MSxZCho8pTzQvNzar0BbsKVKlaEyWpxU6zfhbcVIvPW1Eenku55zOUvDW4zFnxqSl4bcFdy60vvp9g1zGCz99SwtYdAVCyCR17YWBEn8ycWiHNrN/SFfjMZw9buW+SgdH5QonzTT+vNU+DS5I2E0xpfEjpQjhsirlPEkgCSEJSMEpCNb9sLLZUtpTWuCmGdouaCksWRPjj35vAI5t97B40b8T64yAQYGimZKdNwztuWCtHbt4Qt1a79c2aNGgm6df6UejjyqVJc2MNbQukPTKdQJwzoBRS9M1M0NMZIYmdIVSnr12GICigqwgU1SH4HkMiYSRstZK+9aXyU86ysSHUdGW0yqppS4sWV6QF6LTFUruUYItb4rokrMX3ZlRb8OEJ4D++UsE9jxeAgnVLeC6w1LXeytScuK1oTkbVEffJJXRcl8WapexbT79w8jPqZacElxbc9gtvyWpKaQaDObQhMbUblFJdomqALwgxdKGGkxAa3Np9kSBEIqlxnL2mib94/Tj+Y6FwGwAARApJREFU4XMUI/Us2NTuBkEM3XhOZSuLkge1+zPJvUPS8o5bf8c8Yj8HJo2bRtP4Q095y4yMXULC6Bfq7C1jHPMXL0TfzJWo1xsZwOcNzEBf34wfxiN3fqSyRr1nZCzCyLiHoXGKekN37Cijz2WPR0sD2uM7Nw8nZ62Rd0mmuCUyJ8qTsSJu04JlR4w1zyV0kuzCYjSZxHXfKuP6myuYsNlK13pTXUwVWMaEKkfrJEtCTct3wwkup2NRkL//ha4c0NMR105WM5fxVGkCyIJZEX10E0sXEgKiaCpmqYNPBSIpCGEgkJBEG6+SL3HF70/gyDDFf36ZoS7NG6HEOP8EsaRGpQqmI78FsA4nnkhrpVuOKbgKXiT3mJVsBhxq1HTzaMZIT36z34U58CCEriIcGY8xNJZAIAR9+OhHLnj5CT88euQIYM4izJjRj09/9u21h57ZtkuyY1g0cAjt1Ubq19lA0jN8d+prp7w4nNEgyInNuxcrRM95vl8ya1bIAk3XctPpspS5em9d4008gWd2ePjvH5YwHpsXZoNKp5EhMLSgl9KCWZLJrU9vpQip8927WUqXTWkxcS8c4Wix4q3W2zm2UzmJtBHCna9JnPEzuusnbVIWzIyn4UiE1lSJI44yB/7g/BqWLmyAJgkg49xFSYlIAnVJECkglvqSpLN1dCYysdMa3GFS9iJU+riQdrCUud9ejC54ksjs2tyO7cQHASRJNlZQSoXhSYmnDiXwKjX0dG7Z9eGPvbPW29eXWXAAmLPoD1EqFPCtO+7G/Q9vxLJ+gt4OBY8bbW57NNO81W4Vn3d7JjMrDeS7chxAO1omdBpw58teZQtbkqXkeZBg8w6OKz/cgc3bQyi/1e+mKWtige362tOxJfnS3pZRHemFpIFXDvSYaulN3DRNFz1yCR77HKk0i5HqaZu/ZfsbqdTWmhJiusWM2yK1H06I0j64LVWVStepUAWiuKYXwUGaCisXJPjke4ZxxT8TrYfuJyYBZL1tjgg6nZ93NTK/WteKI3VvAAXmdnQYdiUnvsncGhyjSc5M0wcz71HZkg8KqvJzOdvKDBfNI/ijviEsXbIW8xZegDiu433v/Fge4Evn9aNYLGL5nB4ceK4Ij2re0boeU4qmWJa80T545ppM1/mey1BS6dxng0d1XJ+b06lJHEqzOhPPSzCpgE99q4RNW0II7iZzjN9tJCACw5pwlzEhrUGlmobRmMb/nnIxxVbHseDPZ9hTNyXdAFNn99Bc0KmMD47UFycmu0mJPd61y2JdF139p0AkM/UkLL2PC4U1SyK85ZUTeO/HOSZic8yp7KIUQTMF/TTdO9Z3oNk7dhVrU9fLFRayCR2o/IlF9XOp7cynAGUSVDoxICOmBjzEwYO9aO+eixnz5qEZ19PPNQV4VztHsehtX7agvOPQnvYFQyMRfE6zrCPJ+PC84HzWIKytr2nSbfG5aS71ntWYuIVTxwM3ZQ7nbasFTabS9yPUpcLnby3jxrtKaDIN6LQM1rAmNqHjEYfyczrm3foTtw57SibTfHGulbbgzaao6V7EF+Kt5Cw6kAsyrWtClBka5Vjy1Iq3+OJSEgjjMOsOeZMAsvcpXbFHjNNMTGsOEQoeUXj1uXVs2cPx+W9VMBnDKE1l70JSjmaa3s9b8taxKDaGcPUxqAvydMiVaewwvrZUKhXd5yzb9BRasUEPrtV/M0oohscUpKqgc7i4IxL+9lozTl8vszc+/JGrMX/FOTtG62HPngPDL5PRONrKXGvg0NZgUqU8t8czjjs36IkpQxW2itJnQSVjKq8fSDNdQRfcOT0T05XDqR4SVYsVPnd7Cf90fRuOjNhUvOG7TSksowQBA0LHenvM+N8sCyzdepn8JV/jnv7MMmuiuWw7w9MG43mhf/tz6vpgajlubgxhS8Y0m1vknBjOJssSKSaGyHZejh933Sc411BAW0XgpOVNjNcont7BTVFW/gxS0Bw5QIyxzrZ9jmdR2SPuAJVsZ8MJOPOdTul9dm+0vEelkI6T50zgpJVdOHVt/zWN8R2fnb9o3VQLDgDNhCKB992OCntFUPFWFwOJKCZoJvp/Tf1t6iZxWvQBWyy0fcxtTKAOv60fky0/TwNuat2SDOQsELj1RwX88/VVHB7xoTW9vJzlJpSkrElab+I0V+QrBx3N7xR4pMUtyTMpuc8+Bx4XTdNYbsf45XoyXfcErrtiGRSASOM1GB48VXA19SO67YumBAcxTQZpdR9MNpFQ/RkZSy6gEDUVZrTFeP+fjmFonOIr36VAaN6UdCw5OJqUmPS+a7nNtSKptLJKLbfRGpfav5YKmfY4Jcb3VqlLIh3/3H7SaZWv1EFnM1JoFhkmamzTzN7gu+MT+R2SA/hb33gRHr7zHT9FL3lUxOOrj4162Lm/Atl0sndOhtLjrppU3iXJwOqmVd1G4eznXJ23W/aas9w2oIy1lmCYYPsBji99t4xDg37GdxPjorT43Z5rnR1aMN+I8fx+di4ApSS1qll9OJmSzZtuqePddvW3gSmBqK5J0QAmJvmT3pZa9VUaupBAghDNh+vaEMvz2SBUGcrQlLFak0oUECnM6Irx+osn8MATHnYcJECQOAGkBpsES0GeuSmW5nMFjPTnnvaWUgNs6szqYcqMDdePc2oCVJZ9PgR6YxNzSgopsftojIlE4cDk6KM33/ujn950/T8eH+AAcHRyIQgoxkc34YePjIEmAXo6ApQKhk1hlh6ULVSgNH62yoPYWnBigEyysteU/rP35SoCXRVY23Zm5Nb8BDsOcvzttW24+7GimV9pg0pzbfzuMKUE84OjctLMJEvwuBnLtN3uuC5D/pjPlcmmxpscF/Cp0VZ531sanFlAEANi4gBaSWWsN4FExn0TJTOLroiutybU1DFlVtzWp+gMJUtrRezjSUPhnLURPvTWUfzNtQQ7DwHwAVc2AlDakhOSbRGl29EUzIRrqHQkuCSZb23vo6aJQ6isVsny3twJsmH+NFP6OygWGBbOFlh2wiA2752NM9YuhJQSN12f/4ynAPyEFZfA4zz6908P45Gnd2H5bIX2iqZ3MnktCd9zAS6nANsGlpRkwWQKbGJqunOPOYkc4rafOW4JTeB7CXYPUvzddVXceGcJETHFLy1BJSNAYLOVbueQBbpDA+ZoQtpy3UobWgsyHdDtMWq9kpb7pgW5cVVymUvSYs1NcGmpQNdy28q+tCXM1HKT1JLr1jCkAae2s5JQpxDK0IhgqTVPBEfAFS4/vw6hCP7mmnbsGQTgYaolpwyRtKAm8I2Lwql2WaQyoCW2zECBSjMW3LhU1LgtQppYSGUbw+qQU0Igmb7tc4JygWPxXA8vOzXA/KXnRlImuKLl850C8J6eDrRVOv7qpOUrlyVjk2cz0kwTOx5X8D2JwNdi+B43QaLTCExTK50HtLXYVvOEGiDrSkFhbrdWCcqcz+15CfYMUrz3E224+a4SIsp1+WtqubVrQgnR4CaZ/IMFtSvRnPnftoPbBTfJpOVIVv9ACKaoV7WKb+YAfRxkpxWE5GcneIjjlhDjh0NlSlSEIPXNCSGAtAN4DW0pjbtiSml1lSH0MSGtH25fr7XFenkAXntBDZwC7/tEO/YMEo0aqvKWnDBE0Py7gNY3lCAm1a7HhEuiIKi2wpRoUX5KdasapboG3cZ40ty2dfDKnDqUAb6Zo3l0hIKwuTil/+Qfd3TN/auoeWzK5zwF4O3VTmx65M7xtUvKWwf3hRsGhxIWegSBrxD6CqFvpj14IvPBqXVR8v41JSpt+8+Arp9na5Z18KgtveuiUMc9oSwB4zEOjVC8/5NV3HxnCRGztd1ZV7zWFLQlsLY6UOVdk1a/2+G8M8CTvMXOBaLTWG8X8LBuSiuVOBXpLrBthWkWpE3lwpU0MoDmIm3pgFsAZV6PtIkn+7qk9stFarltgzTSGhVi3RXboEC0ahSDwv86v45EErznP9txaMS8nxbJNiWBhOgCW0EIAhj5O0U0106JmXVvaVndUJHqwBPNUCVOvCQMW6KVvfRr5kyiGeny2Fhy0XWwunXnoTvHX3HJBT8b4ID+4g8embhy20G2rkjVmjBQqBQkyoUEYSAQeNnMyVwTMJFaYs2Al1gr7up1pLodMgd4bfVtEkdqq00EqCmBlZ7CZ79dwo0/KCOyOhUkS+SknfHWNXG6c1pb0HJVgzTL0uZGqbgXmmdO3LoUdyozWt2V53O+Sf52TuVJWXck88WVY8Xt/bYZ2LoqJLXi0O1hxnpnbpO+TxhLDQfoaXMC0deE5LYgOGJcfmENW3dxfOTzVSQpWJApzBIFUC3KLw32BSGmU4pApOAmcJkrRnQxlwv0hJJ0ml7CgFjqVL9S2jj6nKKng+KUE/mTdTV+pVCVaT/qaQG+6qTzcf1/fV2ccuJCdXjfJnRUE3RUExTDBIEncjUk1E3YGEtNSGahCTWDhlKAS/Mc/Tz9hkQKdGu5KRWgRIObeAp3PFDA1+4oosksW+JQgqaBgVEgdC230w+ajR1xS2KnoQWdeu+cG0JdoLcC3hXadIDuUioO2HPBJXGugbzlRgZsix+D1xTU2qqrvAU3qXJNYWumWhDTOWOcdV14petCstfGzOs2QWfaVaw3gk8SvPbCGh7ZwvGDB4qmp0EZdyXddQDR6lKRJEgIwAkBBxyDY4wKnFMTedrWgptJgljox/TseoU4AYAE1QmOQmWJqnApTt0w1XofF+AA8IqLNyCJG1/b9NCOxWVvT6lSjMGY1FYElirLOG0LVtdaZ4kIG63nrXhmySUIlQboDufNE1BP4fafFPBX/9mOZ3YFZvqCWx2oLTcznVdW+oGnwaTDmhCHNXEVYtP7HctiAZ2CneSen7fe+WDTTdX/LMowh3qlmYfUaqOFUZEEoCplTlyGhpjfc9VfCXGafS11aMp4BWjGhUvHkosM2IQw48crSChAKKycH+Pqt4/i3RT4zk9KGYKIC3QziYzoTv8IQGw+PwaSAlrrsND082RCW3p76nJhplJQk/03GVxKgeq4QrW9Otk7Z93XioXwuB/r837+w/tuKIhkYsvw4W8PSEXgUQpOfTOBjeQASql2SVLhRqcr21oAOIC31jzbGNZq62tuwH3rfQX89TVteGpnmIE7rQ60Q1qJ6c6xnHfGe09paHCSVblR2ra+wXFdXGuedfLks5dZEVZWK59lK20Ws/W+rBSglb0hNPNJ87JmbuzgtGvlro8jmOSqE0xXGkElOBdOP2xe05E7GWRGY/AgwVO7ON53TRtuu6+kGwFSN9G6jixNJKU15taNa+nucU8fiszCayOlXRYBIJIKPmvCZxFEIvHHr7pgT3u1vPS9V76qfjwMH9eCA0D7rCWYGBvFF748A48+G2PDynFc9XtjqNdLmp9NfWcTOBrJI4KsQi5L3TpJXBPQZMGmhBYzt106AoQr3PoTC+5At/m7jQs2U0l0w4UugVVTi6hcIBvL4LaMucGjC6gs3Z5Zcjepk5bMtvrm9nt0WJfns9o2DZ1VFVo9eW2l0/yLJFA0y2RKQ52k3TYmbUnMc9P2NGUtOFJ5CGvJYWjEzHKbznhJ0yPFBp0642Lui4CV8xP801VjUABu/0lRP8yAVNVF2mZioa8Vhf1AnKQt0qAjZ3ap+Yy1wD8xJ1kS1fHOywZx+hKC3UfbsHDlAgRhx/NB+PkBDsxqHh4Sb4Fa+41obFtpcpwhiiMQKuGbHR34WjWKUCtXo7+cJNa1yEpRk82yuzcDeOqHEwFifHHCBMAVvvNAAe/7RBuezoHbKYE1FsImc3xjuVO3xIKbOJSgtXYEU1yR1gQPSy1s3jWxPZj5DOdUocq0RvwFLDONQ2fpTNCpZYadeT0UmcOePsE0AFsRe+lqC2YMB4FN0VsmhRh6UBpXxboutgNI/x80ZVcyGlGn9AE0FVbOi/GRt41BSoLv3l/Q3z9lxhxbgDMDbIrsE3GiaehhRCRWIEq/YEUIAAbpcQgr80EYGOcoB50oMh/rli+dDLuCt9BiX/MXBvjgUci+rmUP/+lrS2Nz23eXyoUqjg3HaK+Ow/cisKCBzduBjVttgkVBCIWOksT61RFmdyvImEEqZirA8uaLpEGpcU2YhGIE33uwgHd/vA3P7AyAwAaVDmtCWOZ3m2QOJ1ZUyLag5VmTVjnmnOsxDdgtuHM+uAW343LkU/XZc53tPG2axx3jkaXhM/Ykw7NjyU3wSKhOyac6gFSldSLuXyLOxd6RAtmk8gl0KS3s0DCozKrbAJTA6IArCGIgQxQQAcvnxfjXt49CAbjjgYK29tT8f2A6Crbjj53vXmeuJEgiMNAdY/2aBtpLCUSiTx5FKB7bGmLztjKaXhlBEKK/yPH0sxwHD/q48s3nji1cMPfhifFJiedZzwvw7p5uAP7g0GDy6qXLVt49fOgBTyoKnws04yau/moRN91bxaGDITRXoqCEQBBEWDyvhve8fhyXrG+AQ0AKI/qYkvYy88WhLbhiBHc9EuBdH23Ds3uM5c4BO5vC0Nq8wGkWVFKSuShpRO4EmMQFNEEO0K1KVnkXJW/Vc+Am2q3JqveeJ9h0aMJ00xMbSOrXk5bLWrtrUE+k6TQ3oCbOrnAlj9PED7IAVEqdhLFpVgt0XUorQaQOPt1dYTOfAsxsKGvRjRWOFJYPxPjoO0bxtn8D7n4kzGhIU/sCRbMPw3KhQsAjAhefNYn3/uE4TpgnEHgMMtGWXhGFA4dq+Oa9k/jXbyjUYg8UFCNjEc48/aR4spa8ulqpDBJ6/AATyJWyTF0f/OA/4G1X/hkK5X5aDONLffVkd1txDLGcxD9+pYTP3tqPI+PtkH4RghUQsxARDVAXHPv2czywmWN2X4Ilc2N4zASgxKbjDWVIBCgHFCO446EAb/+3NmzdE5jAxQG2VYGlPC2isuWvHrEKXCYVb+vUU5pwagksNWWvrp/ulsXmgskcfZgHdxpApj661UlpAT8cGtE1rdNsguy5biDmBGa53WIlG9zs6TTOkftnzeuC+/yUAMj8d5K6ks7vofV1aeve3SVw2ooYz+7h2LWXmdjCCSyUdFwSCZ8KXHbOBK7+/0axbB5AkiLiZhFxXEIcFyDjEB0VjlOWxWgvNfDgsyFqDQ8dbUW86pIzt607cdEn9x88Oto/o+sXBzgAvPc9f4k9O+4bjYW/CYT9ydjoFlx7e4gbfjADlJfQWaRoDwgqPlD0CChjSMAhGTA6IvHIFopLzmiitz0xmSjnQhWIrwtr7nwoxNv/vQ1b9/pQnlsZ6FybESPc8N1ZthI53jvPmmSNGbQVzKwF7CmTQTIWhUy9JtZ1mQ7ccEDtAD0FWCuHDkyx9tMi3kA5Nf7OL+RAl2ZQrcuinNeh8sB03KnW6l73NaXAzr1uw4/b9yMUujsF1q2IsWUPx6691EhAG4DDXuujZNGcCJ//6xEM9CrUa0XUGiVM1kuYrBdQawSoNwPUGwGgfKxemKBUaOCpHRy/d/46LJzT8fuPP739ibmzZ+BjH/vo8+L3ZwSZQFfPLETNOjw/PHhgt7r3E9/beNZXfgh0FgpoLyj4NJsmkEhgIiI4DIrh2IcCw77DHJMNjRztx2XfBvUJ9hxjuH+jjw9cV8HW3T6UbwKTaS9aVMe6JrZCMJfQcZqHcxab5OnAvBi/+/M0ltsFtwPyfOHV9OB2Kwvd1UocpKgz90toF8O6JdrB1+6KsJ8jNb4InHHaLdfEJndaJBwsP5765SDafbEtDLb9DplKFpHmtmFXIE1ST1ItdxwLLJ0b4z/eNYq/u66CBx8PsOcYm9IVBKVQLggM9CUg4JDSQ61RwPhkEbWGh0To12C7wKqlIi7fMArGGRYtPeHeC8498+DERBOVyvO7J8ALsOAA8Pf/8I8498KLhhJZGd+xz3vN4b0HMKeLoq0AlEKgFOjrovEsxiaBZtzAsrnjeN2FE3j5aQ2UCyo7XykFDQi27uf4p+sq+PhXy9hz2MuDm9prlzUhmWtCjKVmWd2Ca7lzrgmb6oak2c2c0hTJb4DjgLz18akBZwbuVjYll9J3za9j59K71XG+kJRPtv9ODWlJZvYz39z5uzm3aVpXCs7rb01oGZCn71Fl/49U6O6QOPuUCDP6BbZs8zA0THU3sbOzFXR1aqWo0FmmqDWq2H+0iuGxAJN1D7WGh1qTY7LuY2Q8wETNx+qVp2Ngzty/HDq2874Z/QteCHR/tgW3a2DWIlSr1Yc3nBLdwuPhy3bu3A0hdacJ0uSEFmvp7qpj3pxjuPTMYzh1eRMFLvVxZZh86gPb9nN86NoKbrojREMwbZZt+Z6ZBmattsuaZBWCLX2VTn1JfopES4reuaaM5NiTvHWf7tqpP6HT+NnT1KO4DIYLWJuet24qAXLDEqz2fFpbQrOSWZvVw5QudrsrXEtu4UTTSDPbWBbUFDJlVez20O/X6h4KW6FIqG5aJjCNzhSKMFMnI3WmMVHo6xR4wyV1BB7wwWvK2L6fA755TZTg0KCHv/1UJ25dHuOi9cCCngCjowVIxUxjjWFTJFBvCvTPXIQFbWtumTew9OHG5PgLhe0LB/iC+X3Yv3//7tNPO+3tsvYEQ1J8xZFjCayWc+ARFEKK9orC/Fk1rFok0d/DwMAhk1hH+0S70dv3cXzg2gpu+mGIhqK6kD7lSc23mYJdg5uQfGaLuVLHtiowdUUcXW/HXckPgPpZ4LZceEvG0gH68wL7+XzqFOVTu3ss0O3vp+yxA/S0pNAAWU0DckJIuou0PrcyKXniSB6TtAuNGIrIjgG0op5ANmlBKmpS92Y+kKKgSpraGZ3zIERBKQHZ1JNAXn1BA1DAB64tY8d+rutvQQDOUFMe7tncjqcO+Fg3wDG/V6CtrHHkezqFL6RCPS5ADle/ffkJp7z9yOGDe/pmzHzBAH9BLopdV199Nf7g8otH2ztnrRoZGjqLyGMQkqMQMHS0UfR0KPR3xZjV00SlmIDAsCRM04A0INh1iONvr6ngxjtCNBU1QnZ5MOdcE+OuWM7bDmj1aKailfrgzjQ06vrlLAsipzYRHwfcLvAJcXx1p4mYEriTwrL6FNtcnFnDTDXF9pxjGheE5Hozp3vKVK+F5O7MyV228vE5FiRrSk7VAloCX5jTIiUE4BShmedkhXPZc2yOA4rAZwpLFwr0dEk89jTH6BgzlVYMYD6IX4BHQ/hSgUDoUfDmtFcKODhYx9w5s3H2Wetv3rtv381Lliz5eSD7wi24XV5hJlg45yOnnvTcgs9989BrJ8caWDQ7QG+7QGdbhM5qA6WwAUqFw3UDkSJ4bFOAa28s4ht3hIhAzPZq5b1I9ula4nka601zrkf2cyYF4cpDtCRz0t8j6WZwFWGn0oOt1nsafXDLlrTCLx9bpd0pU4Br6DRibqfgtJWGJPXwNKZJ6x+Z4sHDdVcIDAduHhYyu+3Sl4LYOnIr5mlk4KTJbCpi+kGz8Sk6S22u7cYxf18KAp9JvPbCBiCBT95YxMYtAZqmwF1BIVEKoxGBP6oQC4Eo1pjpnaUwZ5aHGpv1tTWrT/zI2PCBnxeuP58FB4BrPvFRvP/ta5sLlvd8544fHjq7o5QMzO8XmNNXw4yuCXS1T6BankSx0IDvNeH5ERqQ+OLtRbz5n9vx6DMBYhNopl8OccFMU6tts5a2Qyd0rHcm7+BkMB0JiFS034A403fJrHMmaERScGfW3LXQzuS4KVy5k+G0b6HFIraulBp27shP/c1fG1LO2QjTrbyhyGVPWzjvXODovM40+CQZpWg3VasVT+v67f22JolIZHorJA0HGIBlC2L8/jlNDI1RbHnOQ2w2WSIo6oKhkRBEMRAn2r8vFz3Mm9V531Gx+vKNTzw58bL1J//cAP+5LTgAzJh/GZ595snaFW98RbRt800oh3tQLk1i854YQsRYPK+OhbObCLhAEwJfuK2E/3NdFSPj3JxxzvkroH9mKm/IHWtDp7HeaYayJfXu1nvnq/FccMMZjOWA2x3iSvJAd6sBLWbcmpQpIHYCSAtM6xa7XfO2e6cV/PpvWOrRpq+zUyJXP05bPzfl/JQFnBrMKnNbHA5cWOA7kszWgmsrrpWyrBW3PIqyx4v7CohKbZXJyJv2ZILussCH3zoKRiW++O0KEilR9hoYmKmwYI5CJAJs21VAY5Ci3FbFq5b/brSIktqJJ57+i0D1FwM4AMydNx9Q8qGKv3D9x76wrbD7CMc9j5cxMsGwbN4ETlowgtdfMo4tu0L87XXtGJnwtekFACWARABSYWa3wOgkxWSDANx0nKZLh1iMZMGWO5jVdn/kWs9yYM9TgDm/m9iiKgfcaclrZslzNShObQp1gO0YqvRaOXvYFku49+Vm8JgHlbvHrZeGzKq68yJtDYsFurMvMPXVaIssTAGWMHSeBnDLbViA6+BSEj3XkkoKSbORhrYu2z1d0jZED5hoUIzWKGZ1SyBREImuSSIJ0F4U+IcrxqAUsGWXh9dfXMeqeRTLBjiGxn3cubGGwbEAtHBufWDuvIcYze3gXw/Aw0IZSg29v9hzgdp+5Og7tz+3MzxxjoehCf2ifdLA/sM1fPbWEobGQyAItOsBCSQR2ssJzl9Xw+Xn17HzAMc3f1zEo1sKEGk3bgYehpY6E5fqM4B3S2LzzEjGmOR5b5IGjS647XzPnAtCnEDSqWdJg7GWlboYtv4fU12LTNzeWHCVt+Qa3MqxslZo0z0NjLiO69qkr8EBObHFWKbak5B0HI6ApgkJkengViGzzZxNdNMSFJJm/ndWDm2DVglFJB7Y7OOWHxew8yDH5efXcf7JDZRDjjjWLfmJEOgsR/jzV9Zw9X+XsXy+wKJZFTy5tR/D4wGW9E3iotPnNPy+cz4WCfZ/ZnSUf2GA/9w+uLs++MGPqJ555947t6/A1p2QrF8xMMYCLlEq1/DXfzSC89bV8fiOAE/vaodgJXAvAKgH1ZS4aN0oPv6/R3Dm6hhnrGliUb/ALfeEaMROgodyMEJNxSByopk8FftsqTtxhmVlE9ycAbUsY0OYA25GMkF/zaxQtI5DZE5qPz+7KH9yuGEFHHDnpJCBVL87BTocZSf7PDNhQyELUDMAY4p7YDeHqWhLAW3dkiyJQ/JxguP+5OXjbGyRbx5PGyxsbZFpjBhrELzpXzrwldsreGpbiAc3+1i+KMGS2RQT9RKiOICC5s3veJDj49/oxlN7qpjTybF5exV3b/Qg6NxoZv/8jxT5wb/vn70mwS+xfmELbtd5a+Kot6v3w49uHou2bB380OyeOp3VE6C/2o0wiDF/JuD7IQrcQyUA6hEF6wUuOzvGzEqI2ijAWYLTlkf4vQ01fOk7HoRVh4H1ddUU3ztzR1o7X1qYkemyjzngOoEkIznLngOyDbhaQWwBpVGXNS3Y/knrlTlFnbrG24BbqlR8EinLYp3wliwiyYBPiSuPZp7sHn7pqZ5XgLUaKdplQTbDMg0uKaSQqe+dXiQxA7CyS6apaaQmfIFbfljCQ5uLUMUAoD72jFRw090EJ85rgKOKRkxRCCKEgcKO/QTNWhWHjoS457EYcaIwu4/IcqXjQ5t2zrw6fnYk+mXx+UtZcAC47rNfw/mXvC4JwhlDxVLhLTv27KL1egmzuj0IOYkb7ixhz+E29JcVeksSvWVg3WLg5esIikGAONHyYb4n0dMe40cbQ4xM+gDXLWmcEhRMotOzop9MtVQL5q13lpq3k5Y1YDm148WRWWd7nzPElqa/18Klt06Lm86Kp2AkeQturbY0F2O9pVKpLEJ6f2q9nYkHjvRVbr5N7qbLluR5b7tZ3KKvvI9vLyoN7EFs1tYyJUhjH6uIYBXIAj/BniPAB65vw85DJSivCOYXEXohIH30lEugKKMeBVCSwuMK9STGI9vLmFkpYMU8BkWbOOWkU+XalYveUS02D7zi0lf8svD85S04AJy+eg46+2c8t3Gjd+XRYXnt4L4nabHQxE82czy2tQ3dBYK+ikBHmaCryrBkbgX1uocjQxOolGo6S8kFTlhQx/zZMXYeTr8Rp0E1z5K49d0Zi0JyoHPBx1PGJAN33pprtyT//OkArKa4IcQhrC0opVIp72zrvFMgKpVOJxBSyxnnfHGLSYNO+/ekPUEc0CuadUulltxZKWNi4Z/63/rZwjkh9P3GHzcsiqCaWaHGD1fScN8uiwICyhR27mfYtiOAZD4oD1H1GHoLClUW4MmtFURNjp6OGM2qTtytXhTh9JWTeGZrCfUGw0XnnSE7exdfORSd+Jzv7ftVQPNXA/CumStw7wPPRt0nrb9+8ZG9xRX9pY8Wwu24/aEiZDPE7G6JrgpBR4Wju91DIaCYbHiYrPvwvQS+F0FIZnrwkPqPBCSftHEZFHvbScNbMBJikzYODZjy4aTFB7dWnab0YesmcTuCsmRRXo5YAywbwS1tG5nQwaCgABFZ946UEkIoJDIDu2yx0LbP0m3SUMoEm4ZZtTShQlbP1Apylv5vWXeFWzgliWFWiDlFiBbt1LUoSEeGa6Upx0XJgR3ptGVQDs4YKp5CNZAoBUC9qXBkmEDBQyJ0gDowI8bFp07iJ49PYu/wXBw8Gvzv8y487fp4cqvwyz9fxvJFBTgAnHX6EkyOHRQDGy7ZzqNw/L+/vbuycw/Hgi6C/k6CSpGhWuIolxh8T5ryWorEzJBRLrFrU9zEZiZVLkNJW8Hn3O/Wertd8q7/nbPaLeC2rk6+3Fal/n42oCo7snPZSmRuSCIMrIx6U2wBaix3OpvGADwno4yM/3ZPDKr0/2Wfm4Yr06T9W3/SNKHKeG/zQGrBc6eSnvGje2az2T9MEkhBjW4gTaWdbUmCzXZxkg3YJSCIYonxSQnOKITwEMWahpzfk+CSDRxLl28Yv/R3T9m+a+9hMX/gVwPuXynAAcDzC/CCXd9Gad1VPTPpx1YO/KTTQx29nR4o1UNlC4H2tylND7kcOJRTRcgIgUdU3u9lLaBzAkjW4qZkTQvTBI+5gDIP7owxyWdLKXMpSZXzW1Mrng6Fsjy6Bq6QBDSx7ooeuBSng5fy7EkGcAfYhOhTxDQgM6Ul0ZRtgZwO404NSjZpOMtSWqpQW2wH5MhiCCqMNZc03Zha05vqGfKm6EofI0ZZwSmJldAFU3Gs0GgKjNcImjHB0BjD6HiAeXMW4IrLzxwKOle/Y+NzR7+9cn7PrxKSv1qA+2E7AODo4NgN69ddwH1S/Mj+nT/uGR4dx+g4A+cEvqfgc61Qm40P1Drgu3Yz7D3ka97PyB+nsseOm5KrPXGKqKb6424Q6VhlRnJ+eC5ITYHubCwX7KlqbuYiWX/WsnPSTOXlQp8OgG4GIZHukk+ERJQoRJEGuZ4YplIFNAvKNAYxqfN0wzqbwSGcwFK2JEuMEBDDnGTJfG29bQIoCywtqAUAIjT7pMGtrTeV2W0hKAQlkJJBSookZpgzI8HAQISjWwUSqRDbCWwCiITSk9JiCaWA4fEGhmqdOGX9OUdPPvmM98RxfMOqRYt+peD+lQPcrp7uKuq1ic+fteEM+gDb+c/3fvOxngpn6OngenwIV0adNjGXGELF+Px3Cti+LwQK2h/3SCbDNnWsyFR/OT9SJEvOuPUlzEnoMAP8HJ+eTopzrt3JzOnpYXngzJWwS7spGgg8USCUQkqGOtXWrBlJNJoSzVgPMhUyczksfW3ZjZS1oPr/1Aq+yMm7ZVSYTWu6NGP2H9rOoGmtN6wQvr4tnYQPlUZnXOhUvWASQtrxhBrkzZhjwewm/uySCTy1vYqmKKAuOJoJQZTYk0pvzLYyMLMvgt85/+iKVae+b2Qs+nxHR/XFgOKLA3AAKBTL+NQXb7peqXYxr3/ev4v64U4F/UX5nkToJwiDGIWwiVK5jke3ALfcW4Hw/ZQeDFr6LFulIPLDaB2GxNacsDyoM5DTnFvjbhbugDqb74kU4NkoxExJKis8QmrGrexvIqge5kWAWoMhjhUmahKTDaW/eJFRgSlMXZ7fblJCIKmCZMZqU6RDnFQr2etYbJEC3cletrgq1nqnNeck+2VCCKjQ/DglAJNSz9ukekyKkCy7NDxctqGBL3xvHA8+FWKclVD2CMqxQmTcMxDg2IjEnNkLhtadXPirw/u+818nLH/NiwXDX54Hf7512ze/jve/47VP9PVU9h4aIxcNDY4EvR0EXW0R2tsa6GqbQKkwjs27Enzgc+14ak8VihdAmIeQEZSYQsAVfKYVJLx00KwdhkUcq0vAcxnLbMw4Y9S5j6aZTvu7PL04w2wdgHt2wBZT4J6+9rjVSNfXeiCAhMcFAk9ffE/C9wVCX6BaSpDIBI9vk9g/qFCPgUZEdAWdIIgTgkQQM1yVQDi+fOab56ceuyQgbAuZA/LsVLGNz1OHWqV+ufNzrgTBgh9w5OayOMRmNy1PXi4IzJ/RxJbdwP5hD4n0EXCg4CmUCxR9nQpLT+gej8ncq3bv97584UWvUXgR14tmwe26Y7OQDVn4WnuhL1m8CF8o8d1hW7mJmV2jIGwE//o1jlvu6cWz+8oQLACYB06pHrVNbVOxSt0FzqxFzzcw5GpMmKNvkgaVTjBqS2fdBI6dM+RYbzvBgjlTLOxEC2aF/1tmDLUKkNpVKcaQpIndI+147nAV1YJR3YWawvHT9JQi2elFdSCqFQKycSGKpXl5aBNMU9ALZFSgrRZMg0ggP7bE0pqWXTFtP9YXJ6BITMqeUe1uMEohGIOQAkJwJETLgZy9Jsb17zuGm+5p4D++0YcDI1UUPIrSeISu7kWNZUva/vyEedFNx4Yb8gWB6DcZ4H/3ttfge9+9UdSTvpvaAiICRF8q+g+H921p4Ct3deGuxyoYnghBfKPrYNRGM/FMDXSPuX5y3nKngSbJA9tNw2uOPXtunvNWjkXPg9uObElHtXAJj0kwLvR1biR5No05vc0EfC5QKjexfyJGUmM4NuxjoukBntbe4+b9WhkMnxLnfSt9UhmAc2YLtYhxTVp7MI1UkANe64pIS/8ZfzylA52GCC3y454M2amgKyspYmLnnlofnJqYg6ERBYgSHwv6BN58SYIT+g/jy3fV8czOKk49cVEjKPa+gXlzb7nj/qPiNZf/rxcbflO6BF+0tfGBb2B236vJkaFrXv29n+7/r0/fPFgcqYWQksBjBE0JjMYEidJqbR1coepLlHyFgqcQcD0l0OPEpOtdNuT4hVTaJaGZy5JzSbS749GWGZ/utQG0FfzXtwU8rnXSPa6VcDnT1z5PwFkCzmNIlWC0rnDXwxyJkKg1Fbbt9zDZ5GgKD3c/XMJozcek1EVolDH4jCKkCgWmEDAgYFop17eT7aiZTcoAL/d+iHNNwLlx2RgBZ9S5nZ1w6RRrR5mA2dGQ6caXuU3ve9KMsUkQ+jEKQYxC0EQYROA8gRQUjSiAkHoSQyKA4TGFx/Ytrh0YXfjHf7rmd268fduP1ZVXvO7XgrtfG8AB4Kf3fQJnbDgB//mpQ6/bt//gtXc/ur9tfEKiWiCYiAh2jgoksYDgAbp8gq5AohQoFH2FwNODhzzPVg+a2pKWakFL+2WFUy64sypDCxLtWyO10hrU+tpj1q82F08D22Pm2kvgmdlBgRfB9yMQEmHvEYlj4wSfua2CXUdCPPpMCfEkw8mLx/Cv7xnEyYuARo3gkWcI9hwl+PRtZQyNB9hzuISmCkG4h8BjKDELdIXQxCAez+IRj2cg98yG1+9LGw3OTcxhfra3uWWPHBbKnl66o93NOchUmoNzqWleQxIUghjFMEKp2EC5UIPvNVCPQhw62o1a00cpbGJskmCkuWS0p3fWW9e/LPnqJ78EXPXGP/m1Ye5Fd1HcdcaGt+ETn7oBF2yofnV0rOz1zey/+vHHn+2aHBuFHzCc0TGOyeYwvv6TXkhVBDNfpM81uK0Ft36o2yg8Rc9kmrazrOs+S7/nCqfSKc4qtdY2cPQ8CZ8nZjaRBrXP9bTlQhABpIHtByXu2ejjU7dVsfNoGSIpgjFfd4n7AC0y1EYYjh4mkEpi7aImTlvWwKs2jGDfoMJ1txVxz2NlbD9QQU0UEPseGpKibIqyglzRlXVLMj4bRBnGwwSEMnNPhNOGJg23PtUfN6lSAVNXoyCpTvDowa00pSYJYdpCSy1vzFgDN/2EYXyihM6wCkaBjo5O9M+ad2zfnvZ3Hd2jvqruZrjqjX/464TcrxfgAPC2t7wRADA8PPLF5as4f2Ll/R++4es/6ukqN/DKlwUYaUjc/NMIjBThM4XQA3yPIPA1yDnPy6q5rWRZeWzW1Z7bALm0vZsdVekx7I4Xt5bb96QBdILAM+D2YvheE5VSE4lq4ht3MlzzzQ48taMNdZTghx7aShRtvkI1ECgHwPyOEvYeKMMjEcrFCLV6E4UwRCFsYN6MOj785hqe3lXDtTfX8PUfdqA2WcJkIYRQTA9jStmUrKbEgjxTt9XZTkF07YsFuzTa4tSyMwpGZxzpbB/AbBxqpxObkYVSB6HClviav8yogu8LHQ8Qgc9/vx+14Q5cso5h1eIiit3nHF229oz3nrAq+WKl8uLw3L9xALero6MdE5OTn1tz8pnk6Aj+eeez9/XUm6OIE+1WhB5Q9BUKAVAMCALfHrMaxFm7WEZ9sVyLmTMfniLHLafWm+VZFG7oQG3Fjd/tJfA8Ad8T2oL7MXwvQuBHKIR17B+McesDAT725S7sPlIFLRdQ9hnaPKDNl6gEEpUC0FGmaC9zDI1xFEOGzpgiTijihCFOGKKYoxR6OGlRHX/3p2NoCxPc+kCEPUeraAQFCMUhcx5lJvuQ1caQFNT2Pum0qOlWNOWM6iE5BVrbX6egs6XpmHDozzBJgJhpKlOa9KjHBaKiByGYzjCrCJR3Y9Xac44uWnba+wD5uZcK3MBLCHAAKJdKmKzVrj/vnNOS3XO8j9LJb3Z87wdHQeGhI9S+eaVAEIZUW28TVNp+RFt55ypMaaljK4iZWXh35mWa9rZFXDRL4HBq2RKlXRPjovg8RpCCu4lSqYYntkv83fVtePiZNgzWKvDaQpQ4QbuvUPEUSoFEKQTKBYJigYJzgiQhmKhTeNzT78Ny3pJCKopYMPRWa/jrP6njgvVNfOCzCTZua0dcKGIcHmzYZN8HTK9mWjpACKjUVpxSktaupMyLUroKkDgtda4FpwbkJGPVrVdkT8Q4UZq3N9RiMQzQVglw7ppR3P/UXKzfcN7wnAXr3i0E/0Kx+LP1A1/M9ZICHABKxSKkjG9YuWr10NbNmxaOYuG/eORpr7sk0FnlKBcZPE4dRoSY4iUFISSkMzkiL+FgtT3cDZB15RBbt9KSpXSpQJ3EMZbblPVacD+1S+Dd17Tjnsc7oPwyvGKANg60+QplX6HoSRQDoOgTFHwC39OniZBAM6KoNRgYdTRSrMaISYFXSgwXn1pDKTiGd/0nsGkHEBdKmIBnpeVTCpC6IKcAFeaEMh3yth5dUQfkJtPq9o6aCTRZnyf0/ULoWhqorJaHM4J6g5gTV6Cz6uMtf3BSzG+f8Ver15y83QuC2wuB91LD68XNZL7Q9cEP/r068aw3bBXByY8Vg9KBpbPLl/hyBL0dlLRXPPg+BecUhYCiGBD4nJg0uB7vYS21W3NCjF9OnFpxt+ZEuyMwbIlhTcz0Zp2Z1Py1dk9i+H6swR028OSOBO/6RDvue6IDKqzADwO0e0C7BbcvUfCBQkBQCAjCgCD0KQJfS5Kl9BzNS79lIR8xJcTAwpkxli+o48ntFAcHOQRhkGZUuZsgcrVZ8tIXbuxhp1dMFTCyf97lz0H0xmhECvWGRDPSpQVCAvUmMD4pMV4DfL8oZ887XfbOWn7V+Wet/kyltPcZjw+8qBnKF7p+IwAOAF+/4Vpc9dYrxLyZnU97lHxpTh87smC2OK9aGMTYJAcUQ3tJob2qUCoo1JvAZE2kKlA0bUdzpdOQdsTnkjvM0IQuJch1laMOKI3P7Qltuf0YgddEGDTA/Dr+8pNt+MGDnZBBBZ4XoMMH2j0H3B4Q+gQFHwh8ooHtU/geM9RdJgmXNUy4RSBuDw7BwlkROisRvnW3D0kYhJnozJEHOaGm+2kaNmlqvylJ/z7Sv5r5426F5nhN4MhQglpDj6PyOUUUS2zZXUOp3INZswb+ZuniJVd5wbx7J8biZqmy5qWGU7roL/9f/OrWurXLsHLpvPqsjpGtT+784w+fe2b5Q3GxX2zZJ5EkCbrbEywemEB/7xFs3DmEoyMJolgaYf2MQbGWLE1nO8VMmmnIgjBrCdPSXWqSOSah43NNB4Z+E4w38MXvhvjxpioEL8HzArR5QMVTKHoKBS8Dd+ABvk+0xeZO7KC0BYyFrotuRhSNiKHRZKg3OepNjkbkoRH5aEYB6s0QzaiAs04U+KOLR+DLGlQSoSaASWHqWMyw1ERoF0hIp8fTrVR0GrmzOpTsNWm2JOs5CTyFGV0JTlp2GPtHJ/HcAYljowkISbB2qcCF5/QJWej90Btff96H77z/8NZq5/x694xlLzWMcus3xoK76zOf+yruvLFXFXr/4u6urq8FStFTC3yUz+4dRCM5gm8+IPH4jjICQlEOtYX0ONUZO26OX5BclZ5tJOaOBfe4gudl7okumNJuSWCpQF+Du1Kq4Ws/4vjbT3fj4GgbWFhE1Sdo81rcEp8gtCD3CQJPVxPa12etd6swpqsy5Up1WgtbLQusW1XHoUGCJ7f6UNyDoizTbLQtfdO08DFbu2OSPdxcbHeS7SFNO3NM4qcYKvR1Rpg9YxRBcQLPHVSIIh/zZ3Xi7LNOb7785Zf96ysuOvtvauEa9e6rfr389gtdL3mQebzld16Fg0fG0N2u3v+qS8+l9dGB9bd9/4v0zkcG1j+ze4JPTEqgrOs0fI+lltIzWzZOgDhWEEppsRqaKbdmwZllUUw9CZWGAxc6He/pWvUwiHBkTODme6rYN1wGKYQocIIy15Y79DRfHxq+PvA0uH2PwvOoCZJpasETS+XZF2OnKiC7306go6a2pU4FZrYneNXLJvD9h4oYnPARU4Y6JQiEKV+QClwSJFKBW2ss3erDjE7lXMckQurPKU6EjmOYHvtICBAnmiesFCKsnUOw/A3l5NFt4f0b1v+eXLRswf0TE/T9So6C0LaXGi7HXb+xAAeA/t6UP33fp//rNsTs4sorz5349MWN7a/57K27aegDnW0eKiWWHquhDwS+wsi4xKFBAUoVwoCBMWIYl6kThO1EYJvgSUHOND3I/SZuuzvAfZsqAA/hc44KB4pcIeQG4D7MxQSUHk03Hec0jQ2UYSUsi5HJQlhvUY8HsfXmqTQD0y7LhlV1vPK0cXzu+yFk4qFOfQSEwBem+lLCgFuPGrRJHWmKsbX+C/SGDLTl33s4wdiEgO9TBL52dWoNIEkIOqvA8EQZG3cvl6ecuOTGP/v90pvGJvaNl8prXmp4vKD1Gw1wd73pjy/F+PDO8XIl/IuNm+duO23vYysXdU9cFmIrGnGII0MBAIJiKDGzp4GJqIHNu33M69GW0/eoGT9u65lVWm+RNjZQrfHBmU7Hcx4jDJo4OKjwvZ+WMDheBCn6KDKCIpco8Lz1tuC2jInnUXhMU5y2SUxKQJiYQUjdziUlMcJAVmw+4+i5OV04E6g3EnSUY/zOmXXc8VgNe4d9JJyjLilCoce7JEylWUfrjwuh+XY7H5YzgiBQ6KgIzO2fwLZDCvsHPczo4igV9ETjQ8cmsX2/RN+MJah0sFsuuuC0zTGZ//FDtdr46lXzXmo4vOD1WwNwAKh0zAeAwSOHD/zNe69cNlc2NuLA/uCyH923C5u2j6G/s4CBPoqBGePYNzqB3UO96CpLFEI9Z9Jy4G4LGk8tZIv15rbWJMKDz3j40cYywH34jKaWO+BA4GUuSehTFHyKMGAIfAbf18VP1NBtcQLdq5jYwFiXHghBjWIrjE6gAmVMbzrOTfUiRxR7iGIP56yp4bTlk9j74wJU4qNBAzQkQSAVPAEkTPPWXGqwSwt0c1pQAgQcqJYSzO4bw1CDYtdgOzoqQFc1QXf7KHhQxQmdq9A3f8Ut85ctfcfg8MTuuQO9LzUEfu71WwVwu3r7ZkKpfbuBE9493sQN689c/fa9k0+9jEzsRmd1CE0xit2DgJAUUWJqMEzzQEoPpu1npmGBidRSclPyGgRN7B2R+O8flDA0EgIVDwElCKiEb8tHuQZ46BOEAUUYMhRDhkJAEPgqBXgiCCbqQK0hUWskEELp18QIEp9BSOeEYdSUCzB4nkCScCRJAiEZmk0fXW1N/MGFdTz4ZA17R30I5qFOGQpU++KeUEgoIJhJ0jDNX9u+SP15aEqUEoX5fWPY9JyPg0MhNlSqOPeslVibnHJPTRY/XulY/MS2Q/Hu1SfMfqm/9l9o/VYCHAAImQ0A25RS2xYuwObHd9T7T1uy+rrR4ScWff4797L9Q3UkMoFUHIzqSsRCqFAIJHxuC6xMSr6lacFjOmupaIS7Hg7wo00lwPfACIVPlQY3ha5yTANLbbmLIUOpQFAKFQqhRODpzZQIDeDDgwLDYwmEUYoOPGoajxkAlort6ypKhShmiD2BRFDdCykZmhHH2asbOG/dJL56R4go8dFkIZrGiidSW/BEZCCPEi3iwLlAFNO0g4eQGEsHIlzxiiYEXS/WnrRiW2//0TfP6z7rIICtuYGxv4XrtxbgdpkvYGujNrJVyuTlW3eyWW/+o5NvvP+h26pP7houJTJG6HsoF4COikBHNUacUC3rwBR8LsC5ND65BKcCHo/BeBPfusfD/7muQ2sl+lS7FMQ2Aug6cp/pxEfgU4QBRTEkqBQVKkWBcjFBqSBQCBIUfIE9BYm7N/nYd5ih6OvAtBQIlBJdDqtdKAbO9f/p+wqB0OJIwsgzKEUQxwxtRYp/eNMY6jHDt+7jiISHBmMoSoJEArHQ8hoeUwh8gmYETNQkhFQIPYp6k0MpgULBg/JOm7zk5a8cm6yLV3d0zt8/JpbuLv2WA9uu33qA2xUW25EkavfqlV17gdEV9fh3Tr96gH7m4O4dSTKxu7PoDVf6uyewf2QSz+1ux7LZHJ1VgXIxArVz14m26kEQ4UePEfzlNV04cKyoTa1QALfFTTblT8A9Yqw4QyGgKBUUKkWJ9kqMjkoTHdUaOK+BsAZKzRiTcRXHGlUciQIUwdBTVkiMcKEOcDXtGXhAGBMkCU3dF12HrUCZglQM/Z3Av105irG6hzseK0DwQioO1owJooSAc4VOn2LhrBjPHIxxcChEpaTAgq7xmfPWDrXPmcnPrrIrhL/0gVULi6MA5G+71XbX/xiAAwDnBADkk1v3DXd2DXxfYWzxm6767+bjd139lwd2P/xG0dgU33y7t7SvWAyXzqqhUhrD0EQDBCW0FT14QtOKtUaCb/y4iqOj3ShWKEoYRzOZxITgENIHgBTkHtN0YOBTFAKgFEpUSwk6q03094wCZBSfvDXArff3YMVchT+/tIbl847g1gcYrv1WF2pDRUil6UCPE3hcIvApmn7WaS+lLpBiRMLjESIZYaLGQWUZHeUEl59dw0+fbiBWIRjRp0qxKCBoE8PjHnrbPCxbWMUFG4Yan/tOz5aT1i72LjrvtBu2Pfiuf1ux8u+DWTOrDSUPS0IWvNRf4a8eEy/1C3gx1qrFswHdfVs7dHAvKOX/wij7lyePrmXnn1395NyO5uLuwrYNOwcn2e33FbByThEnnVBH2K3dlIPHCL77UBe62kMsm5ng4tNjxHIc//VDhkPHOqCUrt7jNiPqUfg+QegrFEOJSjFCZ9skFBnBp79XxE13z8CsKkOXxzA22onhkQYuP3MIIhnEZ27vwpGJEkJPIvQlQl+gGVFEMUOUUCQJMbXbgO8L7D4i8MU729GM2nHpKT5OmFXHRaccxYyuCLuPAlIIhFzitCUcq5Yo3PsUR3fbQjF34cL7ViySW9/ZPXnlY08xEYQhFp/xH8ovD9Re6u/rxVz/IwHurhn9c4AskZeIaORN1As6jhw58Z9u/0LRl/Ko6Ooqn+SVaic3xXZMTI4hEQkooZjbJrF6wMepi7uwZP4ENu+bwI33tEEo66YQDW5PN2gEvkIYSJSKMdrK47j65hA3/mgGlvYyLJvL0NNBsW0fMDZZwooFDK875wgoG8TV3wjQUWCoFBSasUIUSzRjiihGSiESouDzGA9v5fjsbX1Y3l/FvCpFyeeY1TeCRpSAqhgdnSWsXtyFWf3Bo/NmjD122sltrNp3WeT5M/+6KevDJ5/2m5t1fDHW/3iAty7mtwPAMIC3AsDjj90LqejL2ksTFw0NL3w1yuNLOisHcMbKA5C1ENWSQqOZ4L4nKDZt5ZBSQMDTASfV6fjQp/A9pBIT5WKEx7fH+PqPZ6C/RDHQy7B8PkWxPIFv3kMxOFJEuRCivdyOy8+axF2bxrF/fyd6hZZUjmNdmhrFFInUGU9dThBj5fwIaxdNojnqYWi0iMlmGdsOdePS805GV7kXi2YXn+W8eOOsrvAHQqp7Vpz8MgDvfKk/9pds/V8H8Na15qSzAOCePftG7+kt4d62cnOhz/bIs1Z/SY5OLJp/7qm97/XUVjy7fTbOXDGEhTMH8cxzRdQaBICPwCM6WC1I404olMIIdz3uQ8QBevqAvi6OOTPqiMkxjEZFjI35GDjmY2ZPiN7uAs47aRKf2tGRNgUPTwhEiUIh8BEnCpBNTNYjfOWuANXyHFxx2Uw8uKmAVWsWotp55MOPbsXO11x8Pl06t5f2dXrbAXyfeB0v9Uf7G7H+rwe4XQOz2wDg+/bn8bFBMO63T44eun/37gTKU/FfvKHyzvFGdOHm7RxECjy3ZROqhSZ6u2McHlao1wvo7lCQoo6xukQcJWAE6G6LMDQ+hseeA85cVsNjzzDsPVzFkgEBJQQ81UAc1+H7ZcyfHWIyinB0iELCQ1jsxIIVLwPnCrMIRdT07zjlhMMfTVTgLVu+EvPnzrhn4YpopL//ty/L+OtY/w/gx1mVajcAjAC4FQAmxw4AwJaJuujrnQEZRTGOHtwBDgHfFxhvEoyMyvjSC0/5wFBz5qWVdhmfczrDqjkFrFyhADaOjuEC1q8U8MoKVBQwa0Cho7cD569nmJBdXmep+zZS3/iBImHesTEKSjn8sIzuGatAmYeTqqBR7B2WUDv/5A39L/VH9Fux/h/AX+AqVWcCwE5zmXYd3n0fCCFv2rpHtfmBVHNmxOjtKaGtQwLER293GyoVgc7OGEz6KFcUgmKM2TMCLF/YTkrFgVGFgcOv+t0zX+q3+z9m/f9hGN3EPeiq4wAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxOToxNDozNSswMDowME2omfkAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTk6MTQ6MzUrMDA6MDA89SFFAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55166311
    {'hecke_orbit_code': 45035996340814499, 'n': 1, 'trace_an': 2}
  • id: 55166312
    {'hecke_orbit_code': 45035996340814499, 'n': 2, 'trace_an': -9}
  • id: 55166313
    {'hecke_orbit_code': 45035996340814499, 'n': 3, 'trace_an': 0}
  • id: 55166314
    {'hecke_orbit_code': 45035996340814499, 'n': 4, 'trace_an': 27}
  • id: 55166315
    {'hecke_orbit_code': 45035996340814499, 'n': 5, 'trace_an': 0}
  • id: 55166316
    {'hecke_orbit_code': 45035996340814499, 'n': 6, 'trace_an': 0}
  • id: 55166317
    {'hecke_orbit_code': 45035996340814499, 'n': 7, 'trace_an': 0}
  • id: 55166318
    {'hecke_orbit_code': 45035996340814499, 'n': 8, 'trace_an': -72}
  • id: 55166319
    {'hecke_orbit_code': 45035996340814499, 'n': 9, 'trace_an': 0}
  • id: 55166320
    {'hecke_orbit_code': 45035996340814499, 'n': 10, 'trace_an': 0}
  • id: 55166321
    {'hecke_orbit_code': 45035996340814499, 'n': 11, 'trace_an': 0}
  • id: 55166322
    {'hecke_orbit_code': 45035996340814499, 'n': 12, 'trace_an': 0}
  • id: 55166323
    {'hecke_orbit_code': 45035996340814499, 'n': 13, 'trace_an': 0}
  • id: 55166324
    {'hecke_orbit_code': 45035996340814499, 'n': 14, 'trace_an': 0}
  • id: 55166325
    {'hecke_orbit_code': 45035996340814499, 'n': 15, 'trace_an': 0}
  • id: 55166326
    {'hecke_orbit_code': 45035996340814499, 'n': 16, 'trace_an': 223}
  • id: 55166327
    {'hecke_orbit_code': 45035996340814499, 'n': 17, 'trace_an': -36}
  • id: 55166328
    {'hecke_orbit_code': 45035996340814499, 'n': 18, 'trace_an': 0}
  • id: 55166329
    {'hecke_orbit_code': 45035996340814499, 'n': 19, 'trace_an': 164}
  • id: 55166330
    {'hecke_orbit_code': 45035996340814499, 'n': 20, 'trace_an': 0}
  • id: 55166331
    {'hecke_orbit_code': 45035996340814499, 'n': 21, 'trace_an': 0}
  • id: 55166332
    {'hecke_orbit_code': 45035996340814499, 'n': 22, 'trace_an': 0}
  • id: 55166333
    {'hecke_orbit_code': 45035996340814499, 'n': 23, 'trace_an': -342}
  • id: 55166334
    {'hecke_orbit_code': 45035996340814499, 'n': 24, 'trace_an': 0}
  • id: 55166335
    {'hecke_orbit_code': 45035996340814499, 'n': 25, 'trace_an': 0}
  • id: 55166336
    {'hecke_orbit_code': 45035996340814499, 'n': 26, 'trace_an': 0}
  • id: 55166337
    {'hecke_orbit_code': 45035996340814499, 'n': 27, 'trace_an': 0}
  • id: 55166338
    {'hecke_orbit_code': 45035996340814499, 'n': 28, 'trace_an': 0}
  • id: 55166339
    {'hecke_orbit_code': 45035996340814499, 'n': 29, 'trace_an': 0}
  • id: 55166340
    {'hecke_orbit_code': 45035996340814499, 'n': 30, 'trace_an': 0}
  • id: 55166341
    {'hecke_orbit_code': 45035996340814499, 'n': 31, 'trace_an': 232}
  • id: 55166342
    {'hecke_orbit_code': 45035996340814499, 'n': 32, 'trace_an': -855}
  • id: 55166343
    {'hecke_orbit_code': 45035996340814499, 'n': 33, 'trace_an': 0}
  • id: 55166344
    {'hecke_orbit_code': 45035996340814499, 'n': 34, 'trace_an': 7}
  • id: 55166345
    {'hecke_orbit_code': 45035996340814499, 'n': 35, 'trace_an': 0}
  • id: 55166346
    {'hecke_orbit_code': 45035996340814499, 'n': 36, 'trace_an': 0}
  • id: 55166347
    {'hecke_orbit_code': 45035996340814499, 'n': 37, 'trace_an': 0}
  • id: 55166348
    {'hecke_orbit_code': 45035996340814499, 'n': 38, 'trace_an': -693}
  • id: 55166349
    {'hecke_orbit_code': 45035996340814499, 'n': 39, 'trace_an': 0}
  • id: 55166350
    {'hecke_orbit_code': 45035996340814499, 'n': 40, 'trace_an': 0}
  • id: 55166351
    {'hecke_orbit_code': 45035996340814499, 'n': 41, 'trace_an': 0}
  • id: 55166352
    {'hecke_orbit_code': 45035996340814499, 'n': 42, 'trace_an': 0}
  • id: 55166353
    {'hecke_orbit_code': 45035996340814499, 'n': 43, 'trace_an': 0}
  • id: 55166354
    {'hecke_orbit_code': 45035996340814499, 'n': 44, 'trace_an': 0}
  • id: 55166355
    {'hecke_orbit_code': 45035996340814499, 'n': 45, 'trace_an': 0}
  • id: 55166356
    {'hecke_orbit_code': 45035996340814499, 'n': 46, 'trace_an': 1649}
  • id: 55166357
    {'hecke_orbit_code': 45035996340814499, 'n': 47, 'trace_an': 0}
  • id: 55166358
    {'hecke_orbit_code': 45035996340814499, 'n': 48, 'trace_an': 0}
  • id: 55166359
    {'hecke_orbit_code': 45035996340814499, 'n': 49, 'trace_an': -686}
  • id: 55166360
    {'hecke_orbit_code': 45035996340814499, 'n': 50, 'trace_an': 0}
  • id: 55166361
    {'hecke_orbit_code': 45035996340814499, 'n': 51, 'trace_an': 0}
  • id: 55166362
    {'hecke_orbit_code': 45035996340814499, 'n': 52, 'trace_an': 0}
  • id: 55166363
    {'hecke_orbit_code': 45035996340814499, 'n': 53, 'trace_an': 792}
  • id: 55166364
    {'hecke_orbit_code': 45035996340814499, 'n': 54, 'trace_an': 0}
  • id: 55166365
    {'hecke_orbit_code': 45035996340814499, 'n': 55, 'trace_an': 0}
  • id: 55166366
    {'hecke_orbit_code': 45035996340814499, 'n': 56, 'trace_an': 0}
  • id: 55166367
    {'hecke_orbit_code': 45035996340814499, 'n': 57, 'trace_an': 0}
  • id: 55166368
    {'hecke_orbit_code': 45035996340814499, 'n': 58, 'trace_an': 0}
  • id: 55166369
    {'hecke_orbit_code': 45035996340814499, 'n': 59, 'trace_an': 0}
  • id: 55166370
    {'hecke_orbit_code': 45035996340814499, 'n': 60, 'trace_an': 0}
  • id: 55166371
    {'hecke_orbit_code': 45035996340814499, 'n': 61, 'trace_an': 358}
  • id: 55166372
    {'hecke_orbit_code': 45035996340814499, 'n': 62, 'trace_an': -549}
  • id: 55166373
    {'hecke_orbit_code': 45035996340814499, 'n': 63, 'trace_an': 0}
  • id: 55166374
    {'hecke_orbit_code': 45035996340814499, 'n': 64, 'trace_an': 3346}
  • id: 55166375
    {'hecke_orbit_code': 45035996340814499, 'n': 65, 'trace_an': 0}
  • id: 55166376
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