Newform data - 800.4.c.d

Formats: - HTML - YAML - JSON - 2025-04-09T15:19:48.062414

• 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': 12800, 'analytic_conductor': 47.20152800459249, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [800, 2, [351, 101, 577], [2, 2, 1]], 'cm_discs': [], 'conrey_index': 449, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [25, 0, 1]], [11, [-15, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510936388174624, 'hecke_ring_generator_nbound': 13, '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, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '800.4.c.d', 'level': 800, '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': [2, 5], 'level_radical': 10, 'minimal_twist': '800.4.a.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+5 i q^{3}+10 i q^{7}+2 q^{9}+15 q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '800.4.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 782358867241353576, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.947', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.149', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '146.367', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 4, 0, 30, 0, 0, 0, 0, 0, 0, 0, 210, 0, -100, 0, 0, 0, 0, 0, 0, 0, 40, 0, 460, 0, 0, 0, 0, 0, 0, 0, -80, 0, -390, 0, 0, 0, 0, 0, 0, 0, 486, 0, -210, 0, 0, 0, 0, 0, 0, 0, 1120, 0, -1460, 0, 0, 0, 0, 0, 0, 0, 100, 0, 80, 0, 0, 0, 0, 0, 0, 0, -1660, 0, -1342, 0, 0, 0, 0, 0, 0, 0, 1410, 0, -160, 0, 0, 0, 0, 0, 0, 0, 60, 0, -3804, 0, 0, 0, 0, 0, 0, 0, 492, 0, -540, 0, 0, 0, 0, 0, 0, 0, -420, 0, -2212, 0, 0, 0, 0, 0, 0, 0, 3000, 0, -1560, 0, 0, 0, 0, 0, 0, 0, -1470, 0, -4800, 0, 0, 0, 0, 0, 0, 0, -1672, 0, -3580, 0, 0, 0, 0, 0, 0, 0, -3220, 0, 200, 0, 0, 0, 0, 0, 0, 0, 4266, 0, 420, 0, 0, 0, 0, 0, 0, 0, 330, 0, -6316, 0, 0, 0, 0, 0, 0, 0, -2900, 0, 6580, 0, 0, 0, 0, 0, 0, 0, 9320, 0, 2550, 0, 0, 0, 0, 0, 0, 0, 3150, 0, 530, 0, 0, 0, 0, 0, 0, 0, -3170, 0, -336, 0, 0, 0, 0, 0, 0, 0, -3320, 0, -1500, 0, 0, 0, 0, 0, 0, 0, 8040, 0, 7970, 0, 0, 0, 0, 0, 0, 0, -750, 0, 13250, 0, 0, 0, 0, 0, 0, 0, -1080, 0, 80, 0, 0, 0, 0, 0, 0, 0, -5312, 0, 6220, 0, 0, 0, 0, 0, 0, 0, 920, 0, 9260, 0, 0, 0, 0, 0, 0, 0, 8944, 0, -14340, 0, 0, 0, 0, 0, 0, 0, 160, 0, 6000, 0, 0, 0, 0, 0, 0, 0, -14800, 0, -18500, 0, 0, 0, 0, 0, 0, 0, 600, 0, 19450, 0, 0, 0, 0, 0, 0, 0, -9600, 0, 16150, 0, 0, 0, 0, 0, 0, 0, -7530, 0, 6900, 0, 0, 0, 0, 0, 0, 0, 2940, 0, -2320, 0, 0, 0, 0, 0, 0, 0, -16380, 0, 8332, 0, 0, 0, 0, 0, 0, 0, -780, 0, -6440, 0, 0, 0, 0, 0, 0, 0, -8090, 0, 14900, 0, 0, 0, 0, 0, 0, 0, -13148, 0, 420, 0, 0, 0, 0, 0, 0, 0, -10500, 0, 16554, 0, 0, 0, 0, 0, 0, 0, 4358, 0, -27490, 0, 0, 0, 0, 0, 0, 0, 24490, 0, -1320, 0, 0, 0, 0, 0, 0, 0, -1200, 0, 14940, 0, 0, 0, 0, 0, 0, 0, 11320, 0, 972, 0, 0, 0, 0, 0, 0, 0, -8178, 0, -5850, 0, 0, 0, 0, 0, 0, 0, -6090, 0, 20136, 0, 0, 0, 0, 0, 0, 0, 5100, 0, 13740, 0, 0, 0, 0, 0, 0, 0, -17220, 0, -864, 0, 0, 0, 0, 0, 0, 0, -18950, 0, 17320, 0, 0, 0, 0, 0, 0, 0, 34600, 0, -7200, 0, 0, 0, 0, 0, 0, 0, 11740, 0, -6340, 0, 0, 0, 0, 0, 0, 0, -25120, 0, -24374, 0, 0, 0, 0, 0, 0, 0, 24134, 0, 2240, 0, 0, 0, 0, 0, 0, 0, 7290, 0, -3344, 0, 0, 0, 0, 0, 0, 0, -2920, 0, 4200, 0, 0, 0, 0, 0, 0, 0, 4800, 0, -3150, 0, 0, 0, 0, 0, 0, 0, -29138, 0, 15560, 0, 0, 0, 0, 0, 0, 0, 1970, 0, -1500, 0, 0, 0, 0, 0, 0, 0, 48300, 0, 17460, 0, 0, 0, 0, 0, 0, 0, 53140, 0, -50490, 0, 0, 0, 0, 0, 0, 0, -2000, 0, -7680, 0, 0, 0, 0, 0, 0, 0, 4840, 0, 2900, 0, 0, 0, 0, 0, 0, 0, -2268, 0, -4580, 0, 0, 0, 0, 0, 0, 0, 160, 0, -30300, 0, 0, 0, 0, 0, 0, 0, 16800, 0, -23000, 0, 0, 0, 0, 0, 0, 0, -64410, 0, -54200, 0, 0, 0, 0, 0, 0, 0, 10600, 0, -21900, 0, 0, 0, 0, 0, 0, 0, -28680, 0, -46600, 0, 0, 0, 0, 0, 0, 0, -5152, 0, 57910, 0, 0, 0, 0, 0, 0, 0, 34620, 0, 19440, 0, 0, 0, 0, 0, 0, 0, 50280, 0, -3320, 0, 0, 0, 0, 0, 0, 0, 60060, 0, -29600, 0, 0, 0, 0, 0, 0, 0, -41834, 0, 12600, 0, 0, 0, 0, 0, 0, 0, -51080, 0, -8400, 0, 0, 0, 0, 0, 0, 0, 38900, 0, -59880, 0, 0, 0, 0, 0, 0, 0, 1500, 0, -51686, 0, 0, 0, 0, 0, 0, 0, 54950, 0, -22460, 0, 0, 0, 0, 0, 0, 0, -40950, 0, 1200, 0, 0, 0, 0, 0, 0, 0, -39500, 0, -15060, 0, 0, 0, 0, 0, 0, 0, -20160, 0, 2820, 0, 0, 0, 0, 0, 0, 0, -71540, 0, -61240, 0, 0, 0, 0, 0, 0, 0, -320, 0, -18300, 0, 0, 0, 0, 0, 0, 0, 83168, 0, 68840, 0, 0, 0, 0, 0, 0, 0, -40640, 0, -47978, 0, 0, 0, 0, 0, 0, 0, -2150, 0, 1080, 0, 0, 0, 0, 0, 0, 0, -38750, 0, 19500, 0, 0, 0, 0, 0, 0, 0, -24900, 0, 4080, 0, 0, 0, 0, 0, 0, 0, 16020, 0, 7500, 0, 0, 0, 0, 0, 0, 0, 29800, 0, -20130, 0, 0, 0, 0, 0, 0, 0, 9200, 0, -13524, 0, 0, 0, 0, 0, 0, 0, -7608, 0, -93000, 0, 0, 0, 0, 0, 0, 0, 90380, 0, 18850, 0, 0, 0, 0, 0, 0, 0, -30332, 0, 51030, 0, 0, 0, 0, 0, 0, 0, 81620, 0, 94944, 0, 0, 0, 0, 0, 0, 0, -5072, 0, 69240, 0, 0, 0, 0, 0, 0, 0, -54980, 0, 46218, 0, 0, 0, 0, 0, 0, 0, -22050, 0, 34350, 0, 0, 0, 0, 0, 0, 0, 21150, 0, 984, 0, 0, 0, 0, 0, 0, 0, -6000, 0, 17980, 0, 0, 0, 0, 0, 0, 0, -15660, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1, 0], [0, 0], [0, 5], [0, 0], [0, 0], [0, 0], [0, 10], [0, 0], [2, 0], [0, 0], [15, 0], [0, 0], [0, 8], [0, 0], [0, 0], [0, 0], [0, 21], [0, 0], [105, 0], [0, 0], [-50, 0], [0, 0], [0, -10], [0, 0], [0, 0], [0, 0], [0, 145], [0, 0], [20, 0], [0, 0], [230, 0], [0, 0], [0, 75], [0, 0], [0, 0], [0, 0], [0, 54], [0, 0], [-40, 0], [0, 0], [-195, 0], [0, 0], [0, -300], [0, 0], [0, 0], [0, 0], [0, 480], [0, 0], [243, 0], [0, 0], [-105, 0], [0, 0], [0, 322], [0, 0], [0, 0], [0, 0], [0, 525], [0, 0], [560, 0], [0, 0], [-730, 0], [0, 0], [0, 20], [0, 0], [0, 0], [0, 0], [0, -255], [0, 0], [50, 0], [0, 0], [40, 0], [0, 0], [0, 317], [0, 0], [0, 0], [0, 0], [0, 150], [0, 0], [-830, 0], [0, 0], [-671, 0], [0, 0], [0, 75], [0, 0], [0, 0], [0, 0], [0, 100], [0, 0], [705, 0], [0, 0], [-80, 0], [0, 0], [0, 1150], [0, 0], [0, 0], [0, 0], [0, 1434], [0, 0], [30, 0], [0, 0]], 'ap': [[0, 0], [0, 5], [0, 0], [0, 10], [15, 0], [0, 8], [0, 21], [105, 0], [0, -10], [20, 0], [230, 0], [0, 54], [-195, 0], [0, -300], [0, 480], [0, 322], [560, 0], [-730, 0], [0, -255], [40, 0], [0, 317], [-830, 0], [0, 75], [705, 0], [0, 1434], [-1902, 0], [0, 1480], [0, -1945], [246, 0], [0, 753], [0, -1490], [-780, 0], [0, 2749], [-735, 0], [-836, 0], [-1790, 0], [0, -1374], [0, 1895], [0, 720], [0, 2512], [165, 0], [-3158, 0], [3290, 0], [0, -197], [0, -1746], [4660, 0], [265, 0], [0, -1060], [0, 4660], [-1660, 0], [0, -3462], [4020, 0], [3985, 0], [6625, 0], [0, 2246], [0, 3950], [-2656, 0], [3110, 0], [0, -6884], [4630, 0], [0, 215], [0, -1602], [0, -1885], [-9250, 0], [0, -8162], [0, -6924], [8075, 0], [0, -4741], [0, -8705], [1470, 0], [0, -1998], [-8190, 0], [0, -5340], [0, -9378], [-4045, 0], [0, 8090], [-6574, 0], [0, -7036], [8277, 0], [2179, 0], [12245, 0], [-660, 0], [7470, 0], [0, -1173], [5660, 0], [0, 1115], [-4089, 0], [0, -4519], [10068, 0], [0, 1460], [0, -4740], [-8610, 0], [0, 17710], [8660, 0], [17300, 0], [0, 1860], [5870, 0], [-12187, 0], [0, -5315], [-1672, 0], [0, 10595], [0, 15264], [0, -15400], [-14569, 0], [7780, 0], [0, -19829], [0, -795], [0, 21457], [26570, 0], [-25245, 0], [0, 14040], [0, -19502], [0, 6286], [2420, 0], [-2290, 0], [-15150, 0], [0, 7860], [0, 2420], [0, 20462], [-32205, 0], [-27100, 0], [0, 24182], [0, 25704], [0, 6525], [28955, 0], [9720, 0], [25140, 0], [30030, 0], [0, -36100], [0, -5368], [-25540, 0], [0, -18730], [-29940, 0], [0, 16216], [-25843, 0], [27475, 0], [0, 3948], [0, -22100], [0, 16026], [-35770, 0], [-30620, 0], [-9150, 0], [0, -28940], [0, 25765], [41584, 0], [-20320, 0], [0, -38882], [0, 15269], [-19375, 0], [0, 22900], [0, -23444], [3750, 0], [0, -37595], [0, -11420], [0, -2620], [-46500, 0], [45190, 0], [-15166, 0], [0, -23789], [47472, 0], [0, 19760], [0, -36337], [0, 33880], [17175, 0], [0, -13311], [0, -53110], [8990, 0], [0, 1236]], 'char_orbit_index': 3, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 13510936388174624, 'hecke_ring_character_values': [[351, [1, 0]], [101, [1, 0]], [577, [-1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '800.4.c.d', 'level': 800, 'maxp': 997, 'weight': 4}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 12800, 'analytic_conductor': 47.20152800459249, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [800, 2, [351, 101, 577], [2, 2, 1]], 'conrey_index': 449, 'cusp_dim': 336, 'dim': 54, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 11], 'hecke_orbit_code': 137506063136, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 8], 'label': '800.4.c', 'level': 800, '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': [2, 5], 'level_radical': 10, 'mf_dim': 384, 'mf_new_dim': 54, 'num_forms': 15, 'prim_orbit_index': 2, 'relative_dim': 54, 'sturm_bound': 480, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, 0, 0, 0, 0, 0, -486, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, -1622, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -780, 0, 0, 0, 0, 0, 0, 0, -3520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7462, 0, 0, 0, 0, 0, 0, 0, -4388, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5460, 0, 0, 0, 0, 0, 0, 0, -1748, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5030, 0, 0, 0, 0, 0, 0, 0, 4800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20608, 0, 0, 0, 0, 0, 0, 0, -9908, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6832, 0, 0, 0, 0, 0, 0, 0, -12234, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11356, 0, 0, 0, 0, 0, 0, 0, -5472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9768, 0, 0, 0, 0, 0, 0, 0, -15736, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10792, 0, 0, 0, 0, 0, 0, 0, 16652, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20724, 0, 0, 0, 0, 0, 0, 0, 43944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -70796, 0, 0, 0, 0, 0, 0, 0, -15348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -41620, 0, 0, 0, 0, 0, 0, 0, -39322, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36144, 0, 0, 0, 0, 0, 0, 0, 60928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56776, 0, 0, 0, 0, 0, 0, 0, 32016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38704, 0, 0, 0, 0, 0, 0, 0, -15268, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52554, 0, 0, 0, 0, 0, 0, 0, 10100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 47840, 0, 0, 0, 0, 0, 0, 0, 81964, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42436, 0, 0, 0, 0, 0, 0, 0, 46060, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90236, 0, 0, 0, 0, 0, 0, 0, -2928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -156186, 0, 0, 0, 0, 0, 0, 0, 21452, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126340, 0, 0, 0, 0, 0, 0, 0, -46320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 117368, 0, 0, 0, 0, 0, 0, 0, 91944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -95584, 0, 0, 0, 0, 0, 0, 0, -86932, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -171964, 0, 0, 0, 0, 0, 0, 0, -115510, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 78404, 0, 0, 0, 0, 0, 0, 0, 45116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 170312, 0, 0, 0, 0, 0, 0, 0, -17684, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224624, 0, 0, 0, 0, 0, 0, 0, -58544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54892, 0, 0, 0, 0, 0, 0, 0, -72448, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 333296, 0, 0, 0, 0, 0, 0, 0, -30920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148956, 0, 0, 0, 0, 0, 0, 0, -108912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -74284, 0, 0, 0, 0, 0, 0, 0, -71664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -237920, 0, 0, 0, 0, 0, 0, 0, -19320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 267908, 0, 0, 0, 0, 0, 0, 0, 150092, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 377488, 0, 0, 0, 0, 0, 0, 0, 30834, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -276112, 0, 0, 0, 0, 0, 0, 0, 12176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -194716, 0, 0, 0, 0, 0, 0, 0, -244356, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 308368, 0, 0, 0, 0, 0, 0, 0, -35200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 319292, 0, 0, 0, 0, 0, 0, 0, 259428, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -245004, 0, 0, 0, 0, 0, 0, 0, -311428, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -156886, 0, 0, 0, 0, 0, 0, 0, -138536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 473152, 0, 0, 0, 0, 0, 0, 0, 374304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 150268, 0, 0, 0, 0, 0, 0, 0, 289648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -206088, 0, 0, 0, 0, 0, 0, 0, -207780, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -667912, 0, 0, 0, 0, 0, 0, 0, 11268, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49204, 0, 0, 0, 0, 0, 0, 0, -201752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 351190, 0, 0, 0, 0, 0, 0, 0, 257704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -451036, 0, 0, 0, 0, 0, 0, 0, -194896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 509114
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '800.4.a.b', 'target_level': 800, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 4}
  • id: 509115
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '800.4.a.c', 'target_level': 800, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 509116
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': True, 'target_label': '800.4.a.i', 'target_level': 800, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 4}
  • id: 509117
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '800.4.a.j', 'target_level': 800, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 509118
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '800.4.c.c', 'target_level': 800, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 509119
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '800.4.c.c', 'target_level': 800, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 4}
  • id: 509120
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '800.4.c.d', 'target_level': 800, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
  • id: 509121
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '800.4.c.d', 'target_level': 800, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 509122
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '1600.4.a.k', 'target_level': 1600, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 4}
  • id: 509123
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '1600.4.a.l', 'target_level': 1600, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '40.k', 'twisting_char_orbit': 11, 'weight': 4}
  • id: 509124
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '1600.4.a.bp', 'target_level': 1600, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 4}
  • id: 509125
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '800.4.c.d', 'source_level': 800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '1600.4.a.bq', 'target_level': 1600, 'twist_class_label': '800.4.a.b', 'twist_class_level': 800, 'twisting_char_label': '40.k', 'twisting_char_orbit': 11, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1346775
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 2}
  • id: 1346776
    {'charpoly_factorization': [[[25, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 3}
  • id: 1346777
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 5}
  • id: 1346778
    {'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 7}
  • id: 1346779
    {'charpoly_factorization': [[[-15, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 11}
  • id: 1346780
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 13}
  • id: 1346781
    {'charpoly_factorization': [[[441, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 17}
  • id: 1346782
    {'charpoly_factorization': [[[-105, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 19}
  • id: 1346783
    {'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 23}
  • id: 1346784
    {'charpoly_factorization': [[[-20, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 29}
  • id: 1346785
    {'charpoly_factorization': [[[-230, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 31}
  • id: 1346786
    {'charpoly_factorization': [[[2916, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 37}
  • id: 1346787
    {'charpoly_factorization': [[[195, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 41}
  • id: 1346788
    {'charpoly_factorization': [[[90000, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 43}
  • id: 1346789
    {'charpoly_factorization': [[[230400, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 47}
  • id: 1346790
    {'charpoly_factorization': [[[103684, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 53}
  • id: 1346791
    {'charpoly_factorization': [[[-560, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 59}
  • id: 1346792
    {'charpoly_factorization': [[[730, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 61}
  • id: 1346793
    {'charpoly_factorization': [[[65025, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 67}
  • id: 1346794
    {'charpoly_factorization': [[[-40, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 71}
  • id: 1346795
    {'charpoly_factorization': [[[100489, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 73}
  • id: 1346796
    {'charpoly_factorization': [[[830, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 79}
  • id: 1346797
    {'charpoly_factorization': [[[5625, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, 'p': 83}
  • id: 1346798
    {'charpoly_factorization': [[[-705, 1], 2]], 'hecke_orbit_code': 13510936388174624, 'p': 89}
  • id: 1346799
    {'charpoly_factorization': [[[2056356, 0, 1], 1]], 'hecke_orbit_code': 13510936388174624, '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': 3, 'hecke_orbit': 4, 'label': '800.4.c.d', 'level': 800, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEgosfJMJ6wAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vGTXWeaLf9daO1Q8uXNQd0vqVrSy5CDLAScwxgbbJGOGIV4YmHvv3DsDDDN3gN8wBg9c0g8GsME2GBuDMc5Jkq0sWTm0pM45nj6hTuWd1rp/rJ2qzpFtGEAwM/VxqcI57qqz97Of9bzPG5bgf93+3m4f/8y9SCk2PHPgxKRJjNk86+K5kseOdrntJTPipVc0Fu95PGHz7NLsDZefNk8d2ELFk2yY7dOoJ0LLS1fAnJ/d/EqATUALGAghXuw/7Z/tzXmxv8A/l9uhY+cAdmqdbDAI3R+E/PUn/oZLN59hx6YlKsrjyKlPRMvm+l8c9Ja/3REmOn3OY8OMIOoP6a7E3unTC3988rRAJMMfOTnRC8+eX2DTLJwYhkw0EncYH/vs73xo3y8+d+qT4rd+6Ud/7fzpo39ViZ96rLeyXxl8EEIq6Z4HjlYbm1/sQ/LP4va/qOEFbs8fuoARlSnXHL2tv/w0Ssjo9PLk/9kdytdLYQijmMcff5JGtcUlm9u0uoqT81XQAXEUM9007D/pceXOhLMXJNMTMc26z+GzDomOmGsIzixGXLVLc/CkZGZC43kelYrD0QuSVg92r4+5dPs0ey5/CQYXR0E/dG7fd3T4m4lJ3NfcehWX7NhyDyZoCbn+xT5k/yRv/wvg6a3VWsDAGxv14OKjx7r6l37nL/W73jixsxes/7le5zD1isexk+fodBYJI4flviQxHhXX0PQN852Yg2eHbJ6pMFlVKBExN+Fx6TZFfwhCBpy+4DAM4cyiQOExCCIu3mbYMN1DIqnXQjau67L/+AxLrSr1SoLvRPSHmnZPEcYxU9Nz1BubUU7AlZfu5Kn9i796y+5zR7de+oMyFJNy8zrnMPCliebsi31I/0nc/qcH+PPP3IcU4rallfANew8vvuPynRf2BD2PP/7EAV56VYuFCy4nFvpsmVXUfJib1Jxe9lHSIIVm01TCifkK9ZrhscMB/UBQ8WBxBXbOOdSqPhvmYm67qsNzRyd4bJ/g+RMxL7syYfOspl4XbNvQYqGlqPgwCAxP7J+lUZUcmffYOD1ECvBUwrklxUQ9RpKweX3EwmKDgdG8+po6J5avoNJIuPUlk/vPL6/7eBjLLwvBPW98/ate7EP8ot7+pwN4t9umWvGnz51f+C9/9Gdf9g6efD758bdUrl9uTdzw0S+cZ8O647z2mjp3PjrJQK/w+usd7nuqwq6tA3oDl7PLiiAS+E7M5VsT1k8HLHUlTx2ZIIoFl24eMt9VXL1rwMFjLp2hQxjATZf3OHCqRrMasu+0wy27JWEU0Bk6PHVccu1FCe2uy8VbQsJI8sxRwWK3wsYp2LOti+dIwgjOLbt0g5hLNrnc/ZThtTf0CAaTfOFrfV51wwrX7NrKIwc3szjoP/Y9r1l8fMPcNWp225vCWmPm3ydxuDw9NfFin4J/1Nv/8EHmkaPH8VxHfPwz9/HqmwMlBl/6/cNHnd2PPHHu1lMnTqtz8x0OnTjFhkaTzTN1njw8y23XLnP9ngm+9EiDRw/3uWij4ewFh03rDP0zhsgYgsjl1IJk/UyAEIZLtwQ8f9TB9wbs2uhxfsFlqim45fKIpw9pnjnSpB912b4h5CXuBGcW4amDVXZvj9k2C0fmBVU/AqE4eNrBECFNyNY5Q6MKSoS4yqU9gK3rFMfPCm7Y02WqVuf2vYLmRMTLrmzy+HNw3+NH2Lq1e4MJnRv27T/G2a/9TeI1tl6+EvsH3veRj/3UKy8nmdt6G0bHZt2GbS/2KfoHvf0PCfCV1lmUVHI46FT+6sO/FLz+rb/wfydJ8u7/+N+ORb/w/Qcuq4jJSq/l0/Bg2Jc8cRDe/boeV13c4OxShTse8/muW1e4ZtcMX3nS4+KtfTZMNjh+NuamPSH7T3lM1iNA8uzxGpumNUsthweeS3jgEFy93XD5VslyV3Df85LXXBkxWVe0ug1OnXNY6RiUG/KDb2px4nyTla7gut1Drr54AZcpzi/OcWoBLr9IMwglx877TNUc9p2W7N4K3a5k9/ZFdmyq8JVHPY4vDXj7bZr5xSn2HYd2kHDtxSFCV9l/tM9zR/arQxeOvqox1b/l//3J2k2Jvt4NguDP3vp9P/frzz53yJ+anhjGcawv2vY/njPzP5REiRONkEKauDXZWT780sFQvu/gwaPxQ48emnnq+XPNvSdipuYW+Q/fG2CSzTx9sMpTByMOnh/whpe1ecVldZ4+MMk9z4RMzvT4zpdL9u5vcN+zAy7bFbNlugpmgHAErnQ4fM5hXTOhHRgalYATFxKeO5XQUFO8/sYerZUGDz9vuHKH4JJtCUksOLngkiSaS7YIrtgZ8fBzguVen9fdIKnWz3LgeIPj56ao+YJu32V2IubIOQ/PCVBSYbTD1g3LXLFdce+TUzx2NOKtt7VZX5/k3icqPHmszy3XtPi2Gz0On5jjqQOap49E9GWPX/iBC2yeXMeBE7O0Bus7jakdSzt2XuwMtfqxq6/Y9dDGmcYKGC2EfLFP5d/b7X8YBj93fomz55Yuuv/J41t2bko+vrXyuYnjJzr148cgGjo0qrBx0vDM8Snu33ee73xpi61th3bPoTPw+fhX6sw0Olx9qcMwrHP/s4ZPPtDn7be2qVQaPHHIZdNMj5mmx6l5h84god8fUF/vEmmH6bpi05TklVcOePJQjCMFvhfj12IeO6qoN1y2zIYEMWyegWt3L9DuOwTxFJF22Htc8vTB7fiqgu8lOJMBgwAmmgN2AJ2ex6kLCTOTfeYmGnz5YY+9J0Pe9qoeWyabPPB0hWeODbl8V4vve3XCweNTHDktOH0h5lw74c2v6nDltir7jtZZaAlOnD3fPHHueLMVPEJ9w5a/+q1/12/HbvyOxLnsdDBYOu5XZ17sU/r3cvtnD3BjDMDuL91+96bEuH94z4P7L/nFr92n/uT/OsVsYz1LkzP0hg79ocMg0HSG8KdfnmbTzBIvvdShP5wliFwGYY2Hnw8JoxZXXwq+V+OR/YpP3NvmyotWuPXqOodONVlYGVL1YuamNJduVpxbUiy3JZ1uQqMa4HsuW+ZCjp13ceSAt73c4fEDLpdtX2FyssPnn6jRGfjMTtR54qDH5Tu7zEy4HL8g2DznUqlETFUSXEcipeCxfdNM1PtUvYCLtyo8WeX+Zwy12gpvfxU03Em++qjH/tMDrt6zzLW74NTZDew76nL8bMRzpw03XNXih14XcXp+I+eXKiy2YLkd0+7D82cGTHQfrndOfrm+MHjjPYknD3W75ieMMWeBA//cs6j/bAHeaS+jHOeSA/uffcnKSu9/P3Lk6G33PPQce492WRpW+MPPNvi3391m01yFQaAYBB7DwGUQGHpnq3z+4Tovu2KJa3crYApjXJ46PMUHD/R4+2s6vPSyiNnJOo/tm+L2h4dsnB2yZ7tg3YTDkbMu/WFErw/tnsBxDJtnE1ASKUMGfcm5VgV0lXUTIRdv7vPAMz4BMd/5iogkrHH4tGRuymHzjEDrmIWWQ2cYMIg8uj2PrbMBM80hSkkcRxBFDkdOw9xUn1uujtk05XDwxAT374ezy11uuLrL974q4dTZDTx5wOfAiZgnjyZEosubbxoyHMxyer7G+SXJQitiqR1zelmiKkP+9Xe2qLkexw8/rha7Z/d4jSvv6gbePa5b+e1Wa+XpOI4Pzc398/TV1Yv9Bf4ut6WFk3iee9GZkwf+32NH9v2n+x946KL9B48QBCFKSoJA8ewJly3rO7z8iogo8ogSB20UxggcNCfPexxf1Fy0scOGKaj5FSqug8LhqSOK8ytDms2QK3Zodm/x6fYqnF4QeE5EZBRnWy5nFzSdUOA4DusnY+ZbmuPnPKYaEoHDuumI5a7hqouGSFnj3FKNSzf7HDzhc2rRcPlFAfPLkih2GYSK3VsjhDB0+5L1kzFz0wHrpkNcCe2+wvfh0i2CVqvBVx6vcujskOnpNq++fsAtu32OnFzHUwc8njsac3QhpDHZ5off2OOK7ROcODfJyfMuZxcS5pciTi4JDi4Y3vqKeX7kTTG93jTzyxPMLxoOHTnHvv3HL+r2o+8JwmT7+vXrHvrJn/zpld/+7d98sU/93/r2z2r9CXv7UU5lrt85/b+fPvbkVecuDN524MAJlrs+rQ4stSMWV2LmW4ZjLcHMbJuf/+5Fbr60zrGzM5w8X+P0BcXZCwknz0ccXdA4tR5vv7XHm2/yOHl+hn3HfA6f1uw7GZHIIVvXhbzsKs32dZKT5+ucmpcsdzTDWCMlTDVgbiJmuePQ6SmmmiGOcJhqJlT8iIf3+ezcoJmbijm3WMVVmjNLmnVThp0bQ762z8fzFDMNUCpitg6tnmCpJ1jX1Ew3I6SEIFQsdxxOzDucXIjZvmHIS6+K2TLnQFJj/7EaR04bnj+RcGIp4I0vb/FdtwZU1RTHz01x/KzD2QsJZxcjTi4YDi4YbrxigZ99Z4f1E1OcWZhkfrHChZbL4gosLAfMLw3ZvHUXbnXqk6+89Ya9F+/c8tu9/mDh5qt3vthQ+KZv/2wY3LT+ACVONfXg6f/WWfja/9ZaPHF5d2UJpIdBkWiJMQKjNQKDNHD8fIXHDgsu2dLm8u0acAGFlA6OkvjKcGHRZf9pxVAP2LO9w67Nmrkphw1THp7wWWr7nDovOHZO8MxxOH4uZKEV0O4mDCOXiucx1zBsXhchRMIgcLhoQ4SrDJEWRInHUkcyCFw8RyCMZm5SMzuRsNzx6QwEw9il1RdsmNAstTUn5xUV12PDNGyZC1k/M2TdTMCGmYAt6w3bNigu2+pSVXWOnWzytWc9njgY88yJiER1+bZXtHnbywxVNcPBE5McO+tw5kLC+RTchxcNN1yxwH98V4utsxOcvTDJhVaFpbbLcluy0k3o9BJ6Q8HB44scPNW+7OmD87cePb1w0fGzC1++5VveHj5w+1+92JD4pm7/pBm81WrTHRo8h/c8+OThl/38b39CvuNlR1/2b77ztLPQWs9yu8lSu8ZS22Op7bDUhuV2wnI7Ymkl4fwKHFkSzM2u8EvvXuLGS2ucmp/m7IU6Zxcd5pcM5xdjTi8kXOjGTE4PeflVPW7eA56s4iuf+eUK5xYdzi8L+gHEsabiaeqVhKmJGA2cOB/T6cH29S71aoAxAoRHb6DZtiFgacUBY6XISg+CGAyG5XbI5nUu3YFCKIPQAc2Ky7aNQ1b6ghNnHRLtMNOUNCoC34U4FvQDyfllybklw3wrxveH4MbccnmPl10hmGtWWWo1OTXvc3YR5hdj5pdjzizDkSXD9Zcv8svvbrFhssnJ89OcX6qy0PJYbEuWVxJanYhWJ2G5q1nsSk51YGW5y2/+myB+1+srD7ozP6a9+mUPOjL5+SD2qVSbLzZUXvD2T5bBP/ThT/DSm6/lZ//t//0rH/mbu/7N+z/61Yv3nWxfdPhsX778yh47NyUk2sEYhTGWvTESkIBACIMjDJ6Es0tVHjksuWrXMnu2DqlVwHUknqvwPId6VVJzJf2ey4HjFe58wuPEhYBOHHHgVMD6mWXe/PIWV13c5fo9bY4vxiz2BTV/yNGzhnanzpU7JSvDhH3HFY2aw3Mn4JJNhmGYMEw8HCdiqgH7T/koJ8GVMY4Lg0By454+g77kqosTOoOEE2cb7NigqNdCVgLDusk+rV6Hv7wLnjqW8MyxIds3LXH17g5T0yFvuqXLd73SsGtDgySa5NiZCY6cdjl1XnP6QsTpCwlHLghOrkS85NIFfundXdZPTnLq/DTzSzUWVjyW2pJWO6HdjVjpJbR6huWeYL6vaHVibtizyE+9ZUFWlLlo4fzJHYNhdJNT21Wt1ae+8vhDn+YP3//RFxsya97+STL4X3zsE1y5Z7N64NEj/8+xE+d/4fG9x9W55ZDFoeJc33DV9nl+8ycWuGZXjfmlKZbaNZbbFZbbLssdh1YXWu2EVidmuRuz2IZTLYFTHfLSK5b57leG7FhXZ6XX5MJylYVlj8W2YLltJUKrq+kMNJ3A0B/GzDQjtq3XgMB3DacvuAjps32dYscmw6Z1feZbAU8fanDdJYZatcWzh6dp1EPC0GVmSjMYwmXbhnzkrkl2b40JAsPshCRKBjQqPs8dH1J161xzacwzR0Pmlzw2z/js2AjbNoQoFXF6ETzXIIRh+/qYqYakO/Dp9V06fZfljmJ5BZbamuV2wmI74XwbloYJ2zb3+O7bFnnpHoeK2+TcYpPFVoXFFYfljqDV1qx0I1rdhJWeYakH57uK+ZWYG3ef570/scQlm+sstZu0OhW6gyaqenHiVTf+Sujs/GUnPpvc+qrveLGhs+r2TwrgBw4coFKtVE+fOrXt6Weef+fR4+f+84HDpxhGkt4QVgaWUc52Y67feZ7f+Illrt5Z5UJriqWVGq1OheWOS6vj0OpAu6tZ6ca0ujHLHcN8W3C2Z0D0eNsr2rzpRs3OjRXCsEarXWGl59HuKlo9QbcvGAaGMDYkCShp8F2o+obJpmHddITjDjlyLmTvYR8d13nDTSGOu8Lj+ya4aCN88ZGYV1zpc6E9oOIo4iRiegriyMVxY5aWarz82g5ffKjBjo3w2KEAlxqvv1ETiwF7jyQcO13BkR7rpxym6oKqL/A8gRIQawgjwzCEbt+w0tN0+5qVvmapZxgkCdu39HnTzW3e9rIQdIOllQkuLFet3u44tNqw0k1o92JWUnAv9+FcR7HQSbj+0nne+xMXuHx7lYXWJCvdGu2eT6fr0u4J/Npm/MaG/7Bl656/2rhp88kgGA4uvnj3iw2l/PZPBuBHjhxmZmadd/z4wR86dOjQ7z/66NOi1e7JwVDTG2q6Q0N3ACsDyYWB5Fw34saLL/BrP7rEtRdXWFyZZGmlTqvjs9L1aHUdVrqCdtfQ7iWsdGPaPU2rZ7jQFZxra6Ym+3zL9V1u2ROzfb2iWXXpdCv4rgQUYSzRWqAN9IeA0Ew1hhw6Y9Am5I7H6gT9Khdv9njpVX0ivcK9T0xyzSUuh873aLea3HxVn6887rN+2rDvhOFfvbXDvuM+66cldz6heOlliuV+h6Onprnm0pB79w6Igxq3XO6xa+uQQdzj9scVJIIjpx2aNQdHQH8g0UaQaEMUA1LjeJp2z1BvRGzdGPCyy/p8y3UxM/UK88sTLK1UaXXssWl1BO0etLsx7V5Mu5fQ7huW+5LzXcFiN+am3Qv8yo8ucPWOCgsrE6x0a3R6Pp2+S7fv0O0rOn2BpqJ37LrS7Nh58U/tvvTSD164sBBefMnFLzakgH8iAO8PYjkcDN78wH2fv1gK/d4nHn/c7Q1hGBoGw4T+MKE31PSGhu5A0B4ILgwkZ9sxt1x2gff86ALX7fJY6Uyw0GrQ7lVY6Xqs9BzaXUW7D92eodOPrTsw0LT7hoWeYKEHURJw9SUDNkwn9PqGN94ccNEGTZxIHGkII7jn6QonL1TYOBXz7JEK6Bp7tiiu3a3xK30eP9RnYbHOFRfVaU62eOgZlxsuqbDUX6HVarJhg+GRfYrvf3WPR/c5bFnnsthr01qe5trL+jz0bMJ0dZIrLu5xod3mkecnqTp1rt9tuHTbEGSPp48J1k1HzC9E3Pu0yzBSSAmJNly0MeRbbg7p9hSbpjTXXgJhWGO5XWO57bPSc+n0Fe2epNODTt86Jd1+QqevWekblgeSMx1BexDw0ksX+OUfaXH9JfbiaHerdPo+3b5Ld+DQ6St6Q0l/IOj2E7q9iOuuvzFq1L1/95Zv/9bDfqX6OSEc/WJj60XPZBrdJtHtdx87+NRvthYOTfe6K1QqEoQNFLH/S2/WAhTCIKVBSodHD67n5//Y4a0vXeZ7Xr3Mjs0h55ea+F6Vqu9R813qVYduVdIYuEzUHXvBDBLWB5pBYOgOfZYXKpw+ZQhjzZnzMb5vAIGnDI4U9AcKgUvcd3jJRYJdmwzbNvcJki5felSx//AUr7vO59rLWvzplwyeqHHR5j7PPKTYPKmYbfapqCph5HKhC/WKw5b1gqf2h1x7aZVXXrPIhz4/wHMbvPYmg+v3+eojIV98uM7zx6rs3FTjoo0Jc1MhO2YjrrwoQSmNowxgqPk+c5M+YeTS7Xs8e8i1JQoDC8TeAHpDQ69v//buIKE3MHQGhpUBLPQV8y1DbaLNT79hge94acDVO+ucW2zS7lXo5uBW9AaK/lAyGAoGgSGIIDGCe+5/xN24YfY3q4255RtvvPH/XFjuf2huuvai4utFBXgQ9IlifuTc8Qfec+bIXdNK96l4HtpIhIUyoEDYpUYIkMJ20ihpUDLBk5JnDs3x5ME6h85e4K0v6/Gyy4dMNpost2vUOxWaA49e37EnZygZDB36gcMwMAxDTRgZosgQJ/Yexh5Gg1QC1xFUPMFkQzDVgA2zmi3r+8xOtfny43Dfky5ST/C661xesqfLA89HhMMmL32JoD0YcGGpzi2XamYn+1Qdn2GsWOhEKC14yaUOtUbAEwcq3HrtBDdf3eWJAwrMBNdd7vHD37bMV54KufPROvtOVtg2p9gwXWWqUWOiAVUfXMegJGgD+44JkkQQxYIwhiDC/o1BwiDQDANNf6jpB5reADoBLPQkF7oQ6CGvuWaZN7+szfe9VhPHTc4v1un0KnQHHr2BS2+g6A4U/aGgn4J7MNQMg4Rh+u/v3X+Ggye+NL3cSf7rd337rU631//jRv3FA/mLBvBBvwVa//DS+bvfc+7YnevQfZp1n35gVzUBICzQhVAIIZCSFNyglMFRBldpqq5gsV/lY3dt4atPdnjFlSu86zUrXLmjx8xkjaWVGt2BT3/gpsBW9h4KgkgSxYI4tku9SZcLJQ2OAxUPalXNdCNi87o+MT0OnYn4y3srHD1VZ9KvcsPlDrdc1eGRg23u+FqTmy6psG1jn4/cJVDCp9mIWOkFaANKwFyzT6froeMqb37FBT72xRq75iu86aY+YbTEvXtniJIKN16+jjfd0OGSrW2++kSfZ07VePqYx5ZpyXRTUPMFnmsvQilACIM2oLUhitOLNTIEkb2QhyEMQugOBa1AsNwF4Qy5ZvcK7/qWFV5xecJMs0qrU6PdrdLt+/SGLr1BsRL0A8lgCP30whkOEwahZpgyeZwoli+0+fBf3bkujM17vvstLzcLi60/mZud+p8D4H/zN3/C3gtT/O5Hbv/BV162/N459+lZRZuqXwERAwaBgxAW5UJIhBAIIVHSQcoEpUS6PGtcZfAdQ9URtIaKpfYUH7+nzsPP9njp1Su867UrXLOrzUxSJY59+sMKvYHLIHAII0UUS+JEkmiBNnbdkMLge5paJcb3Qjw34MxSwOcfkxw+7XHs9BRK++za6HHZDsV1ezoof4G9RxpsnqxxxU7YMNdiudPkys2SWBu+/KhP0JdM1mNef+OQz90bcfJ8g90Xu5xbGfLcUZet66e4escCDzzT5aHnBEHosWfHNHu2+uzZ0uXIuWUOn4FH99c4dLROzRH4jqTuGyouSGmJwRh7scYJhDGEiaAXCDpDQSeCUMdoM+T6Szq861s6vOLKhI3TPsPhBEvtCt2eT2/o0R849IaK/lAxCASDoWQQ2L7RYZBYjz+w4B6EmmFoHZ1IK06ca/NHH717Xad/5r1veYWIn/gUf3rVW4wYDjHN2j9e6PePCvD3/Paf8ba3PUX4V1d+30Tlmd+ZdfZP+qpCrVpFyshKEAxCkLI2lq2lQCmBo1T6qHFUgusIPEfjuQbfNdS8hMmKoBu4tDpTfOK+Jnc9PWT9VJ933tZmz9Yhw0GPK3YYtm5QBJFLkhRpfoFBSo3rJJyYNxw7L1gZaD7zQI0zi1OY0GWqotg047B9g8POzXDFrg5aLvK+z9VZXp7gpj0OV+xq89WnBSJ2WTclqddi+pGHNBKMRDke7aFgfllwualx23VdHnyiyqZZj5uumOZfftsiH/xil0cP1OkNXZZWGuzYVGX3xj43XtrlO2/tcnZ5mc884LPU9zlxzuXMGQ9XCaS0q542hkRDpA1JrJmaibjq8j5BELFna8DbbwtYN6GYbvhEUYVzCxX6A49+YFe5QQ5sacEdCIYBdiUIEoahJggTK4Eik4IcBpGgHwqG2uHM6Q6/9oEHZg8emfuNn/mhff9BJ/yw1sF9/5iY+0cD+Ml9f8jWPbH49d+7/B3Ly4fe/8brn6ltXRfT7QuMkUhhco2da21ppYKUEiUljhI4Kn10BK6T4DkCz9VUXEM1MtRCw0QlYaoq6IeSbljn2Ok6v/bRadAxIo657qo+OzaExDFoozHGJnGkEEglcFyPAyc99h2uUK84NDzJbE0wNyNZN+2waU6xfWPC7u0rJGKJ3/1kkxMnJ7npUpc9FyUM4i5f2+szWXWZmTBMNkJqVSuFtJa0h4rlnmGpndDuVXn5FSs8tq/P/pOKyWaFGy+f5EffvMTvfQqeOFynNzCsdB3ml5tsmK2xbmrI9pkh//c7+jRrbZ45BgdOSVzXoJRBCE0WnRsDcQwXbUh46ZUxSeQSxT7G1BiGLucXPQaBXdGGocrl2yAUDAPBMLSsHYQ2KxsEmiDUDCOdvmdy5h5EgkEk6IaCViToJpqVC5pHnjo8d3jfR+eClV07Ji5690FjzEKgSSrqH57J/1EA/scf/nP+6t7NateBfW8bDM/86W/8xcnKo8/5vPcnB+zZ1kNKe1KE0EjhI6VBSRelDEoqlFKp3pa4jtWcnqsIXEkQavwwIYgM1UgTRJowNDRjCCJNEEMYC4aRJEh8oqTC/sN1nt4PiTFYaFtt7ErwlK35aPhwxUZoVmGiLplqKGYmHdZNw7YNARvnVojMMr/7yQmOHJ3g2p2KnVsku7a0uPu5mPmlCa7bIZlqaireAF/6GCWIE4kwhjgJafUqzC+5XLunyksu7fLAExXWTwlqlQbXXqr56bct8Tuf0jx3psFKT7PSVSy0HGYn60w1q0w1J2jWIubqEduvDfHdGNeJUSpBChtMGOxFFUWKCwsOUayIYkUYKYIofQwlQSQJQskwlAShsAFqKAhCQxDa4xqECWGYavrIvj8MYRgJhhH0c3BLemGMHg54yUUt/tOPLHLzznnu2Bu8/9rpw51ufet1g2H/1D8G9v7BAX7/PX/BhtmKevrAibd/8b6lD338nlOVIKnw5Uen8d5v+OUfXeGyrV2UTJBKW3ArF6W0fZQGVxlcR+E6BjeUeK6wJ8EVBJ4ijCzQo8gQxol1ReLSPYE4MSSJJtFYva3JwZ1JIUeC64LvCCq+oOZL6jXFRE0yNSFYNx2zfUOfRn2FTz4Ycu/eaVYWm1y1TbF9o8slW4ckYoUvP1qj7jrMTSkatSF7j8DzRx2u3GroB4qrL4m4apfh/LmEhZbHYFjjDTd0uf+ZAYfOKOpVie81uXKn5pd/cIl7nhvwuXtmWeoYtq9LaLUdJpuKibpLo+ZSrxoqvsb3NL6T4CgrtWTaWmkMNmGlBbGWxIkgjgVRLAljQRRJgsg6L2EkCCNDGEIQJYSRJiwRRxCV7xbcgxTcnUjSjqAfRMiox7UXtfjFH1vmDTdoosjj2u2P+/NHfPY+sevlC+3Jv/7Qhz+a/Isf+L5/3gD/7INIQed7Bp2zf3D3105XkngSt2aIIofPPiQJA8XbX9XhHa/pMdVM6EqNI5NUZ1s97DoObuTgO4qha5kmcCWhJwgjYU9OpIhiCCNpHYS4sP3iRJMk1l1ITOqUpG5J5s4oaWWP5wh8T1LxJfWqoFkzTDY066cD5qa6xGaFj98v+eAXZ1hXqXDVNsG2jS4XbdJs39jik18zLC9X2LNBMdWERi1i/rjkQsvH2wFBJJibkExOwqFjhlZHc36xwiUXVXj1dV0+f1+FmQb4noeSk1y5S/Bjb7qAKy/w2QemeP5MhfWdiHWTMRN1RaOqqFUlVd/B98B3wXGswyQFSFECOfbCTjQkiSBOSIEOUWIIY4iixJJCpAmzx0intmPmyqQWZGwlSS8SdGJJN9KEw5AJv8N3v2GJd9zW47XXQrdfYxhUqPs+1c5hf8IT77/h5k1OteL8BZZn/nkC/MlHPk0Y6R/8/b84+hsPPH6yKYRi2tc4saAjXALR4MuPOnztuQrnWkv8q+/sM9WMCfwKnX4FR3m4jovruHhhQug6eKGVJmFkU+mWcYRlopSV4hiiBJLEOgla24BLa5P1cKbgtgC3gavAdSxAKj7UKppGNWayETM3OWB2aoUH94d8+I4qB45NctGEy64NsGWDx5b1sHtbh37c4ZF9TarKZW5KMdmAyUbA1ESM5zkIYS+uQeCx3IlY6RvavZgLLY9tGxrcvOcCdzza58CZJjU/wlUeQkywa7PiB167yPW7L/DhOxo88uwkSz2Hdc2YyVpMrSKpVhS+K/BdievaWEUpUvvQotxge1i1Jgd6nOh0dUutxVgTJxbccQRhbIp7ZF2ZYWxJpR8JOrGgG8NwGKPjATPVDj/1Xcv8X9/bo+Z7tLtVgtBP7y61qsR1jzTPnxe/e2TpWu/PPvaZD777e97yzw/gC4sdhFA/8tjXPvKeztLxmdm6IkwMQWwPuiMsyAdSshI4/MZfuew70uLNt/a47Zou62dDup0qg8DHc2N8zyUIHXzP2nsZwKNIEsZ22Y3i1NNOSK0/UuaWaEMBbpukTJkbHGUTJp5rqHiaaiWmUYmZagZsnO0w3+7z+59x+fJj0yy36lw8J9i2TrB5nceWdYIdm4Y43gofu9fh6Kk6l66XTDUkE/UEKQPOLBh8RyIFGCMII4ft6zo8SkKnr2h1DPPLVS7dUuE7b2vz11/1OD7v4zoRQrhoUyeKJdftaLH9ezt8+Yk+H/nyNI8fr7N5SjBbT6hXEiqewHcFnmtjFUdhA2cp8poMg73ItME6LYkFfAbyOLGSzoIdwsTWuoRZ8igWDGLoxpJuDINQk/QDtsx2eeW1Ld5ya5833qBxRI3WSoUg8glDlzByCSIbAwSh4tSF+Zm4svLed3/329X3hp0/dr1/mJryfxCAD3odfM/9l3/zuXve86U7Dqzr9e28PhnbZdNmIQWuFPSkpCsrtEOHj91d4Z5nuly7p8P3vrbPm25qMzPpMxj6DAIP33UJY5cwPVBhpIhjRZRI4lgSJYI4liSJINGi0NpakKsSk2VEbbJIpckiz9X4XkLVj2lUA2YnewyiAV/da/jLuyd45NlJpjyXKzcbNk5L1s94bJqTbFkfsnNzi2eOD/jM/XNMKIe5CUGzLmjWItr9hC9+rULDs+6QNjAIHN780oAvPGxrYto9zYWWw5Z1Dd76sh6P7O+y75BH3Y9RUliQ6xrD0Gr9H3h1m0s3XuBj93R46PlJTraqbGgKJiqGmqepOBrPBUcJlCRNkNm/Oys/0qlU07pY4eIU6JYgIEoEUZICOxEMY0E/FvQSbMwThtSrfd76umW+57Udrrs0Yf2Uy2BYp9PzCCOPICzOWRjZYDeMFPUK+Oxft/+5h96zZeeternV/cD0VOOfNsCjYJm79g4529Hvvu+BB379rjvvmlmc7+JIBW4KbmFTy5bFwZPgS+hKl76rON3xOftwjYf39vjrq7q8/dUDXv/SIdOTHmHgE8SWDaLYIUqBHieKOEkTNkkBcG1S5taFHSVSG1JJW8fhOBrPTfC9iKof0qgOSBjwlSckH71rkmePTSAin4umDBsnDbOTirlpjw2zkk1zEds2dDi10OUPP1cnDqps2SKYbDg069CsRQg3pDOoM9kwCCEwBqJYMu0rYh3TjTy6/YRWR3FmocrlOxv8+Lev8N6/8DmxUMdRUXphOMRxhWEo2TDjc93FHa7a2eO5E2f4y7ur3PH4JGfbVeq+ouFB3TV4jsFV4Eh7zIUYra7TgNH2oku0IDEQJ8L654kgTGySaJAIBgkMYkMcx+goYKYy4A2vWeGdr+nyiisjJqouYVSn1fYJIo8odggjN42N0lU3VkSRJIolRkvCoMfep76yzvOGv75rzy2xMQf/7MLiBtbP/f3NT/z7BXjU53XXV9/y1bsf+71PfuaOZthboVlVqZNhl8nM35bCHngnscVMntJUE0FfefRjhwtBhc8+XOfeZ/vceGePn/muLpdt67BuUtGsOYSRRxi7xHEB8iQDuJZoIzHGSgKTB5Rpql8ZG8Q6Mb4X46qQziBioRPx25+scOzCFE/sm8Roj5mqYN2sYXZCMNNUzEy6rJ+RbJiJ2TzXZ2ayxZef1Dz+/CRXbRFMNSSNmqRZ09SrIcIN8H0HR9nPNwaSRDIIHAbDiFgLugNNt2dY7ricX2pyy+4eN1++wsfurFBdVjgysoA0DnHiEUa2x3N2ssL1u3pcf3GPR195lhMLkg/fMcmFlRqnl3w8Jam7Ai+TYdKSTE7kmVTBMnlsBLGGSAuCBIYxhNpAEkMcIVXApqkBV2235+OGyxKaVYc4rtPuWmDHKbDtCuuksrEE7kSmRoCVk0K0Ofjs3TNLnfrvbdh6fSuOBp/5+8Tk3xvATfIoyM3qucc/cPHxgyebc36XQCq0LoPLAl3FxtZ6JOAkAlcZvNhQSQQ1JRgoQd/xGSQuS2GVOx6f4MHnB9T9gH/xxjZbZmIu2jTgliu6OMK2iAlh5YrNStpaaWNKzI1BSIMS1jM3xCBjnjsmeWy/w+cfafDcyQZhXKPhKOaqhum6YapmrA/edJiecJiZFGyYjtk0N2DjXIt7nw143+fXsXHSYa4JzbqiWRc0ajFVP+DBg4ph6ODWLaiMEYSxpOIorrl0wMN7J23h0yBhpeOyuOIzvzjFj79pntOLSzz81ByuBESEhhxAQSjpDRymGhUmm3VuvrTPK6/q872vWmD/Kc0XHqnwyP4qB4/WiYVDECj6kULlpQ/lwDPNCRhNrA1Ga1yRMOGFVIi4+doeOzYO2TIb8a7XB1Q9Sb3qEoY12l0vXUmdlHBU7rXbu1x9T23KOBEMoyonzyUsPfNgszF3/uKf/1ffrT53377kzbde9k8H4M88s4+9B3d4TnzfD506F//GkWMr+L6LlJo4Ha9gM5ICKS1jqxgrERKDE4MrBa42+ImhogS1RBBoGCYug8Sln1TodhN+/WNTmDhi/dyQy7cNmZmIefurB2xbFxJFItXbEkrMTao/pdQIKfjEPVWeOVJHOA4nztY4M1+jUlVM+ILJuqFZ0TQr0KgKJmqKZkMx1XCYmYTZyZj1M0M2r+uQmBU+cX+TQa/OJVsMzZqiUZM0qppGJcZ1Q778cIWgL3HX2W7RTKLUq4o33Djgvic1vUDSGyR0+g4rXYfzSzUu29Hg7a/o8MRzNU4sN1BSA1Gql12iRBFENjHTGzq0ex6Nao16NeCyLUNu2j3k1IU2x8+t4LgJTx91+Ou7awhlC9cYnz9oNKDBGKIwYfv6mHe+esBsM2H3dsP6GUhilyBsEMcurY5LHCmixEnjIAvoDOA2JpJprU/ZACiMgCh1vjQuIlpm3UTwGw89+nD/2162+4Mnjj4fbt95+T8NgHdWTlKvXbh076GTv/+F25+WjZqHo2y1lJASGRtiaVJwQ5wCPtYCJ7Y6MUoMbmI1oO8YKokhTgShNoSJINCSIJGE2iXSsNBrcvczGkPCpx+xIxswOr1nWbzUIhNZRaJEKkUcOUjt4DqShg875gx1V1PzNTUfar6gXpU0qlYOTTQkU02YmYiZmwrYNNclocVv/02FB/auY9cMTNVS9q5JGtWYWjWkXhtQrdbwlUTJVINj5UAUuQwHgkGQ0A2U7VoaaNsyV/c4PT/Byy8P+Ol3zPObf+1wcsVHCI0xEToxRLFLGEmGgS1jbQwc6hWPWrVCza9R8SMa1ZDrLgnx3IgbLol512v6OCpOk0Da1tuXRXkq6bSWCCHxXQV4DAOHpZZj63aSLOZJ77EsYqC0cC0DdwbsuMTYUSJKry3ItYHJumAw/7g833R+/yud4f1xNHz27wOb/90A/5Xf+yu++GRSnXaef1slOiq2bawyDAVaGwsoYYjTBgWlbAJGKoNKQCVWG8YJOIntfYyziD5Jo/ossteieK0FoZbERpJoh0j7JKntVb7lWcrUlnQkuAoqVUPFMVRUgu+C70DFM1R9QdWT1KqSWsWxAK8LJhua6WbMzGTAuukem9Yt8b7Paz5yx3q2TipmG5pmXdGoKeo1qFUTGtWIc0uaI+d8Kp69oCGr9BMMQ4cdGzQbZod0hh6DoUlZXLLSdWhUKzRqk7zrNRc4eu487//MZhzpYNAkOiHWhih2CELFILRFUf2KpDZ0qPouVT+h3bUxhucmNmHmJjjSNkpImaR1P6bUWGJJyYJc0NZplaW2cU2SSLSWxLqId+JElAL87HnpMRbp+xm4bZIpSoQ93wlpjkJwYdnh0OnHxZtfN/+2N7x685ET+z8w2L7nX764AJ+tel5/sPRz82cXfm7CDWWt6oLAZhK1SaWJIZGGRKe13IkgSeVJrMFJrF+dZMkHbdLXJn+veF5UylkvV+SBUllzA2kmz6QBrcaRpDUt4CqB6xjrGzuCii+peJKqr6hWFI2qpFEzTNQTJhsx082A2ak+29Yv8cjBgI/ds4mpis/6hqZZExbcVUm9oqlXYhq1gEcOwNP7a1w8Z1LdW6TNB4Hiht2GS7YNePTZSfqBbc/rDZwU5C61SpVqZZLvvnWZpw9e4OF9G8AotE5sOWxsiCOT15MMAofa0FCtKCqexvdcfC/BdzSOk+A6NjuslM7PixQGhEFQ6LkiOLclxDpzpHRmv5as2AzY2oK4eE0O7OxuCawAdnbPEnJhBFKEcvFC+/955tl1XqMx/StA+KICvLV43Ivj8Ef1YNEzjosx4Dk2waASQTICcAtslSYVEmVwdPpc2wZanZA/T7KMm8kybwadZuKyZIUxhlLmfWTFzVLVWUJHyTRjqSgVbdnsn+8pKr6i6gtqVUGjamjWEibqMZONgJmJAZvmWjx8YMAvfmg9J09PsnNWM1mDZlVRr1pvt15JqFYiPHdIe2iLxVxl44/sluhMi3o0qxH9WNNP66z7w4RuX9KuKmpdn4rf4KINEb/8Q23+059KvrZvPQaFNpok0cRJTBhrwkgxDBUDX1INFBVP4nsG31P4jsZ1rd/vKJPW+aSraipThDCjDbppat+kJGLSWpYkBXyii0dLRjJ9FAXA0+dJKj0ztk7S1dme9wzgVjJJ4fHs/hXP8Zb+3atf961uqzX4D1NT1b9zOv/vDPADJzsYo//Lc0/8yc29+ROzC07FJg+0yEGVSHvFKimIVQZkg5YW3EkKbp0911baZGlknXu0YLSxXeRpCWj5zhjAU9mdBpZWotiaciuJnLQVzXUkvmcHAFV8O5Kh6hvqFU2jltCsRUw0QqabAzbNrfDw/j7/6YOzHDg5zfZp67A0qpJ6TVr2rhpqlYRaJSJKQv78zgZSKVxpUKKwCbXJlnCXH3hdi9sfD+mGPv0U4L2BottTtH2Hiufju012b435zz+8xH/8oOChZ9ejjSTRNq0exbbQLAg1QcWWu/q+oOIKfM9mNj3H5BlbR2krE2Vh2+YAL1KeQEoi2FyCdVvSQD4DcDp1QOfJNVJ2J19xs9W5ALgpPZZwkZZS9APNJ+84Wkmqt/8f3/0drxXGLP68EH+36bZ/Z4B3l46gtb7l4ccXX3vZZs1UwzAIsisz/SMlKE36KEikIMnTwxm4M/lh39N5rUTRfmWBLmwdRQbq7MCPfa+idzOtM5EUxVRpHbkFuMR1pa3f8AQV3848qfkJ9aoFd7MeMtkcMDfZ5pH9fX7xA9M8d2KWLVOCmXpJmlQc6hVbv1KtxFT9ENcNOLM0hasESurUliuCzCSRxLFi45QhjiM6USXtlNEMhgndoaTaV1Q8F8+t4DoT7NkS85//5QL//k/g4efXkWhpAZ4YojhJmVwT+JpKKBl6KpdgrguukzpXStpcgCSVKSDSxzUwbuUKaVIIkSeHdJocyrLFSVJ6XxeSMykBW+vifOc4KIE8SWx7XawD+gtPVA8evPTm/54Z5X8ngD/y4J3EgVcT3Q95O2YjoriS1nLYwDGWkKhRoGudvWeBrrUhccj/yFFgZzLE5EA3mRzJnr/Ad5OiKKKSEqQUObiVlGmjRCZPoOKC72mqFUPVt/q5Vo1o1kIm6wNmp9o8fmjIf/zjKfaemGPTpGKurpmoChoVSa2iqFUF1Yq9OGyqP+ThfYLe0KOiSC8yq8GzJoREC6LYoV5R3HJFl0eea9KPrEwZBAn9gaLrK3xP4bleqp8nuWyr5ld/9AI/+0fw0L51RFoSaZ02Sxc9mIEn8T1t2dst6ugdld1JZUoh47Jmk7VAniWFTAbwFPBJ7ryw5sqr01hKl0gsSUz689VAjxN7fCqOw4OPDfjiw5/xfvFffWft05+5o/8db3ndPzzAj5w4yMT0xsnnH/vSHy6cU7dO1AK0sSMOpWOIJcjsipVWc+vSsmUZu7jKtRJrs3YJ0DoHdtEUTKq985MhbKZUyBTcaZGRygEOKq0YdB3wXGwnkJcWWPkJ1VReNKoBE40BU40OTx0O+I9/PMXTx9exYdJhrqaZqEK9IqhXFbWqopazd0LFj2nUhtz7tMdKu8LUVJEmzwCjU20aJYp1M4rXvKTHvY9p20UT6hLIJRVXUnEdXMfDcapIqblsq+E9P3qBn/0jw0MH1hFphyitALRlr5bJ/Ujm1YWeI3GctAhLCpSTHRvy75ddhJlUEVlVGkVCaPyuS49alx7zlXcU3OXKzmT8dXYxGCtnuoOYqZnw1iee3/8n7/re1/7EhfnnV9at/9t54397gB+bR55o/ez8mb3f0xDncGoNwrg4aVIbtBxborRIdXZ2lRdXfCY/klyGkLP3SCA5ztwp0rPlK9feMqugK3R3VjHoKGx9hmNwXdtYXPE0FS+hWompVSLqlYBGbcj0RJsnDgb83B/N8tTR9aybdFlXS5iomRTcKXtXJFXfsn/Fj6n5IbEO6IY+QkncjMFzDS5S9kr94sil7g1tuUBYYSoD+TCh71kG9z1pa+KdbANaw5UXGd77E/P82z/QPLR/PZF2CBJBmOiUxQWVSOO7Bs+1vatOGnc4ypYIKynT45N25WePpcKs/MIsxzpj4M5JqERMZXDncZUpnpffy2r1c1ZPpU4UCw6fmGf32ee+Z/701iPDIPr3/6AMbsxhYOP2D3zoo1d1l+ZZtxO0TkAYdCItY6fMrLQpghBt0o6SrKjHlAAu8gOV6PIBEyWmKLKSprxmZqxdDiqz5Tbt0FFpMOU4aWdQWoSUVQ9W3CTVzRHVSsBUs89EvcvD+2J+/n2zPHl0PXMTDnPVhImKoZGCu1qxdmIG7qqfUPFimvWQfccN9zxRx5MSV+k0iCt0ZLZ8R4ki1g63XRdx8c4eR05WmatR9DkGCf1hysKOwnHctBLTetdXbIdf/bFF/v0fae5/bo5hVLXJsNhQS2u4fRcLcidbvXTe2ypVkq9wSooSwEUJ5KzSKwXIzSjA8wrFYuVda2Uu2L2oZEz0aJ16oiGIDYlWXJhf5K77nrtqy7U/vP2OR86deN1NG//+Af78gXmOnZy66PSZh35r49S5t0SOIIxqOMrgOdo6IyWfNA88cnvJoJNMjohVS1rmD5vc0x5zSVa5JSlzj4NbGKTKbMG05kWlrO3Y7+q6Gt/V+F5MxYup+CG1SsD0RJ9Wt899z8KvfnQDzxyeZTYF92TV0KgK6hWRe+XWedGWvT0L8KofECYJw0GFirIXmRRipJIvS6TYQNOxWt4JCELDIBIlgGs8L8FzHVxX2qkC0s0BjoCrdwh+9Sda/PpfxDy0f4az7SbDumQyMTRiQyWdOOC7JvX+MyfF5OydSZUM4Pn3Tb90Gee5QkxPSraqFuAelZS2mrME9hGgF5IkB7cpwI6Bmuvw9L4YVb3wliuvvj+58sab/g89PH9cVjb8/QK8Jg9TldWbVhYOvm1lcT+XbvMZBm5JYgjrlKSMnQFbl60kJfLft6AW6dKWJWxGpUgZ4NkhLqvC7CTYcQ8Zexfd+MVwIFsW6zo6HTOR5OD2vRTc0z0WWgPe8+c1PvO1ORZ7U8xNSOYqKbgrVnfX0sCy6ktqvkkZ3Grvih8CIXc95dGKPGZ8RuqxEaMrVJLY5oem7/Dqa/s8fCCkG/lM5B3rGi+wteqeYwHuKNuQLaRN0GBgz1bJb/5Mhy88POBXPrCe04tTDCYdJj1BI9bUYvAjO3rZU3agkZsFmlLkQXD2WA7UyxemEHmvSH5+YExCloFdip90CfzlPMY4yJNygGpsReMgFOx99gCP7NrwtlZv5s+DoH/875XBB4MelUrtkocfvftfnzr1KFdfpKl6cV76mRib1NFa5j5pzuBpBiwDdK61c1BnEsQUNtQ4a5dlSXqgM2bJ0s2ZC6AygCtjy3GdrLfT9nd6boLnxlS8CN+LaFQHOE6fe59O+JMvNvn8A+sIdZN1TcFsxcoSawFmPrlK7yJl7jJ7RzhOwIPPT9IPHTbWTF5kNsrg2epmS0krruLmywbE2gJ8EAnbtZ51rgfaBodOOhsmtfey4XYGweyk4Hte1aPhn+UDXxxw3/MznI+q9CuSZmyoO8aC3EnjEGXSuMSkIM+OoShqxyVIChYfd+tyqZKNqGBcm5e7h4ra84zRkzWC06REgImxtvMgkpxa8nn82Se4+qqL//Urbnrlk/3B4FCtWv3vB3g0OMz9D97HzHRz03PPnXjlsRMDrtuVMmKSoKSVHImUJNqgTMHcWpclScHeI3Ik09qkyYQRYJesh7J9JcyYNMmycrZi0I5202nNdwpuZWsxfDfC8yIqbkitNsTz+nz0Dodf+7N1HFmYxvUrbGgIpv2Epm+o+1BPO+yrvs12VtKEkK1fSdKVwMqTxU5CL/TwlMKTRXMHpT8lu7Cz2o0wdqm6QzZMDljpNxhEIh23ZmMF101Sm0+ldqdKR22UA1db+fiWV/S44fIFfvXDQz7y5TmW4zp936XuSpqOrcHxHfAUeTOEkyV9ylWfeS7BFODOL9KyWCkDnZEVWJtRqVlo87H7KrMhkyo2ZgtjgfIVFdnn9NHDr2y31KZg2D705PMnufbybf99AA8jzStuveaipfP73rd14ilmr6riKDDGsmGiNVpLpNY4Wo6kc40ZlShGF/UNWfCYHwRESZKIMWmSgdsUbJJm32QZ4NKgpB09UTB3koI8xnOsJPG9AN8dcHw+5v1fqPOp+2c4Oj9Fs+YyXYEpP6HhmzT1noFbpuCWeVKokmpv37MXTrMe8MkHHQ6dqFJJJ3Dl7WIUKM/HOBirw6PYYc92+LYbuvzJl2bo1Rya6ewRP0zjBqVxHJmOraMEcrdEqXZV2DYr+fnv73PVjtP80eenOXp+guW4St91qCtBLQW6J429cFKXKV/9suOa2YdYfV5kOs1qnzwjpqx0IvfNV1uKpgRibUZNhkKepE6cSVeSWPDU8z6HTj7Pu79/9/tuvPbmNy63Ot9QqnxdgBsTAQ633/PElmeff37XrHuY217iE0Yq7RDPdLfEScss8+Kc8vOR4h1y8JsyexsxMirZpCeMjLEzkIsC2PYxG6VswW1dk4y9E1wntp07TozvB3hOQDcJ+f2Pe3zgCxs4szSJVlWmJxTTnmHC09RS5q7l6XuZ1qmk0iT1znNwezZ7GUQhh0779EKfKT91cbKkU+ZKZFlYU6pJiRyadYcdW0KUP6QbNhh4gmpkCDKAO0maqFHWx5ZZCfBawatibqLPj7+lz9tuO88HvtDh/Z+YYXFQZ+BUqDiKmiOoKoMfG8vmaZ+sI4vyhizLuYrJWUOujDsswEgslcmQEpGVWTyP0zLmTssCstKMKBGcOyW5+fJTzHhP7PJid8tLLrvpeKsdMzXxwjD+ugA/eXqeer0xt25Kffxrjzzj1huCb3/5EsOgQRQrdDrTL9HZTgjSFuWUqtByxtYZc5eAnQK+YGzxAhlKU7IDTQ7sEXki0yo5lViAOwmOSvDciIoX4rkh7WHIg89IPnpHk0/cP8MwaeB5HjOeYNLT1D1DzTfUvALcFV/i+xI/lSY2MZQ6EynAPddmPo+dM9z3eI0wcvHrZlWAmd2KdLYlgjBSuK7Da27o8rGv9Dhwus6gYkczBK7Bi8GNNG6oUUpa31oKpJDFcB+K45loSawlNd9h/eSAf/vdfS7bFvCROxo8tm+ChUGdofJwXYeKI6hK8LMBS5m9Ko3NJwhKIB+tWRkvziozekZQ445Y9rrQ3qLE5uT1RnFGAAYiDQMtiKI+33pzl/MnnnC3XXTrx4eD1kt01Fv4OzP4RH1SPr738E2f+fJdE46/wGuub+MqjXYDpHBItMLkgaQslVfKUXCPyZL8ngE7lShlBh8p/LE9OpbJ85Syzss9re42OCqxAFdJLkccJ6Ldi3jgWcGHvtTkjicmWG43kNUKjapi0jU0PU3NNdQ8Q9UjZW3L3FVfUvEUFc9OBrAVejoFt8Z3rf5WTsDB03CmXbGJlVTfjiZOivoZ2wdpQR5rSRg6rG8KLtk6YO/JmH7kEqQzvr0QCz6VTdbNEjUgxzpzsosnsyGjxNaHv/M1A15/Y4uvPtnlT7/c5LF9TZa6NdrSo+c5eErgSYEvbSO4I+0udUoUF6kSadnvGgy+qn5lnMlLhKYpBZ5GkLCatSMNkRFEGfiTBKkj7n7a8LprLrB4+vaJyfrrb5qa2/0lvs7woK8L8MXF8/5s0/zBnL9Qv/TyBt9y/bLVtypGCI3SCq0Fjik3+ooRsBszCvSsw30E4KUDMsILI9LEjBToW1miU82tUTKxA/EzN0NGLHRj7n3c4YsPNPjMfRNc6NQRlQpuw6XpwIRrO3mqLqnsgKon0rtMS05T3e0J/Iy9M4A7MZ4XU/FCjIm46wmfE+eqzE4LXKlTHSuKRt8S25mShZokikHgsn294DXX9vnU10J6kcsgElRc26/qpZOlilVK5X61naNOcVyNHWiaNypo67dX/YB3vmrAt9ywxKfv7/KFB2rc+0yDC+0aA+Ex8BwcV+EIO9LDlRJXmFRqGRSiJA1H7cM1yHzEBSuYW+QBaDLG2PZevNb5lZGAidFa8oVH1+FLj8XWSv0714k/GMTnLgMGf2uAL7YNSTz8vqXFT02+4aYTbJgNqboOxsQoFSFlcRC1UahMohg5Ikuy19l7IycBbO/kGjWBIwFlCdh2QKeVJCIFuOMkeE5EpRIxDBIOnIHjZxV/eecEX3qsyYVWHdwKTtOlpiQN19BwNFXXUHWh4lpwV1w7k9CWmcrSXaQ/NynIdQ5yz7XtaUfOavYe88F102XelFL0YgQF5SDM1ksL4sSOc75yR8DlW3rsP1NjUBHUYoEfGQJFau3plL0zNyWzIAutkvvsedJNpdMHXIahS7Ua8INvCHjzLSvc/niPv/pKjeNnK+w/UyNc8Yl9h6HjIJWd6qsAJ33MmDyXLhTB/6pb7qYUoNYUoNZkrJ39zDY+56LdJFbHkLYjCkE3qPCFR1ye3LfI3NanmZn8+rtHvCDAB/0VEUXRT3/27ucnZ6sdrt7Z4+bLerheguMadCyJQpUDXGeskQO6DGxZ6G5ECmpKj2PwziL1XPPZpIaVJDrd5SHB9+0k1ThJOL8Ed97tcOR0lXseqXKmVeXI2Tr4PqrmUHEUdcdQd7R1EVw7OL/i2nFtFsTZXaZ3lQKcVHOn4HYTfNeyt72wQo4twL7jNVw5ag/mEoWiHjx3FDInRad9jbHL5dsHXLKuz7NHY/qxSyMSBA54sZ0JqEoAlzLteS0xOYzbbyIPZrM+yihxCVyPZjXkB14X8IqrOpxpdbjrUY+jp3xuf6LG2aUKycBFS4fIUwgp7UqRduVL0own5LJlLZCPBJqUs9SZ25JpVF26p4AmBXikITYI1yC9kEu2x1x1kaYun5h99ct/8l+3W6ffOzG1Zc3w7QUB/tB9txPFCY8/3uLZM+toNHyu2Kq47bo+l++I2DSdcPH2CIUkieTIkjgK9EyKpMAusXjG1qPfzJQi9oK1cymiElw/IUoMR08J9h5V3PlIjWePeTx/rEonsHPwcD1U08VXgpqCmqOplnxg38nqNLKyWVsX7qeyxPMUnifTC8AU2ttNbGbRtTq/4kUYHTK/LAmMj+NIPGlwSjbbGIHnIE/MaL9jGLsIHOamQ6Qa0otc+o6wTkdUFIw5So9kIKUoRbHZsCMERsuCyUuDkdxE5eMn+oHHhqmQbesjrtsZMAgH/ItjbZ497nHnwxX2Hqtw9GSFKFbgK4xUICSJLGWD8iTFGlplRJxnPnD2qEuPY/cU2I5I2HVRxObpmD07Qm67NuLSLYqqN83RU3H9kYef/B6Eeu/fisEPPfcxut2+eu65M+KSTfDsKY+nj0yx94DijodrTLgR27ZEXLkn5HU3BLz6mhCMbYuq1kl1tgQtiFPwZ4HkCIOXL3ljAU06v8R1DAiNkIYoNPSHltGPn5b8xR0+/Ujx1PMVDp/yWex5BIkHjgfKRTUVnhRUFdSUoaKw48xUWnikLGt7rrBJjzK4XYmXyhLfA98jdU1sytx1NJ4bpxnRiGol5EIr4c6HGrS7PlMTAif14rOiL/FCzKZLAaGWBIFidkbx+luG3P7YgJPtOgNXWpnigBsb3CjzrFOPXSbWLqQ860Tmn6GNM1IykSQSL1EkjiJ27diHKHKtlepG1L2IV1wZc/NlAW995ZCDpyRP73MZhIqP3Fnj2HkXhKQ/cEhClZVvYpwM4GOWUTl9OwJwwGhEYhDaYFJgV+sJrqsRRvPqawNed8OQK3ZHbN+SMKFgpq4Yhh7HzlTYd9yhEx4RO3fvVB/79Gfj7/mOb//mAK61pFqr/n6lcuLqd7/lJA+fnOToQh3tuSz0BQuJy7FlzUPPaj5+Z8zcdIzRhmsvDXnna4e2OyOBuQnNNVeG1CvpimNEngNbfc5FPpyn3Rc8/YzDUkdSrUge2efyufsrDCPFMFKcO++hhUNkXLRwwXEQvoMjJZ4SVKShkgLbVwZfGVsD7qSer1Mwt5f1ZebgVmmPpsjZ23M1npcVaCU5e3tehFIhdz+p+NTXGijPsXbbiP5+YQbPvPAkyRwPxXDo8uaXDvjMgx0+ctcEvbhCPdXhbqbDoywpY/JuISFkDjD7UbKk9UsA1+loB8cyuesoYsfBiRMLdJWglB2kP1WJeenumFt2RxgR8PZX9RlGdpzbZ+/3eXSfR9UXLHYUTz/r0enLVCUJXlCU5ztP2NbAa66JmJ1MbNNDonnna4dcc0mE0TA3pZmeMji2KIMkcRiGdkrv2eUlPvhlyc1Xi6tf0rjy90H8+DfF4EGwgudNNO/6yqd3L7Y8FUY9Dp2qYUQCwrHbILgOWmsCrZlva+ZX7NCYgydrfO5ueyWaxDAxpbnp6pBG1dYBr5meLF/qqeuw0lM8ttej01ZIR9qZKMaxzCQc7FxgB6SDlBJXCgtmafClxpMWCJ4CTxUz+izIRdHw4NhGgKzxuAxuy/BpWa2bMXhSusf4ToQxIWcWPcKggj8h8dK0t0qr8kaymIKCvErWad6drhVh5DLVUGydDfHEkEHsM4gFVccOwcxqSLKElpLl8laZf5b9jMzV0kX2VOu0+aSQRnGcpHkDlc5lj4niBBXZXIKjEqSM2TKr0xVDc9m2IaEZIB1Nuy14bK/DSl+icsUyGlSPnOm0GKte0dx8dcTElMbEdmWvKnvsrMx10JEkNPZ7GiMxCJRK2LN9wJ4d0PSmVVXq3W/+trc0WyutztTk1NcH+PFTi0i58t5O56lXXbnzKL/7N5MsthrgesU0JKNBjgUGaGJjaGdLkNJ0Vgzn7q6X/sS1AF7Wb+nJEQKdbblAWnMqVBHkSJlaWRmo07SzJN24NfONS49O2kmvSLfeIwe3betSeCm4PYe8xNQyeMrijsZLs6OuG+H7EacWNR++vQ6OhytFEWDm8kSsYvCyP5wNCbVgs4N1wsjlXa8f8Ol7Bzw/36CXuNRiuymtrQI0RSeOynIC5WAvK13MpJAsFXhld53XwjiOsnVFWWmDUmnizCbNbN14+lzodHBQgiMMwiTM1jTf+nINIkllJiCy/TPWOOd5jZEArUgih2weSxxJIjKHTkAK6nwUn7HffXZS8x23xvzWxxbZuuXpV932ipe8V8fxT35DBv/QR+9ESuk99fwiQz3Fw/sbiKqDSvXzaORb1lS6AH/2M2VI3BK418R3xm4ZwEeDFyFl3oKmBLjCppV9YasFXWlfO5K0piLtHs8KiRxKc1BId2YruuoLgMtctvieyVvaPE+XBufEuCl7e06ElCEnzgsWOhWE4+BLRuSJLP9ZpdNdlg4jwEudjjB2mWkGbN8wYP/5gEHiMEzATwRuYnDjVIfH5M5SkUJXI50KWWxnJ+1mXVWiJI00TqJJlEQ52fblKi1Ws9vKKFnchdSoFOQi+2zsyAchTe56ZUDPHLC1AF4k94q4LDMlGM+hpEFzRpNh6PP66w1Nv8eG2dOcOXynZ8zqfM8qgJvgPFpAXXmcOz/FuipUI0GQFFmlJJt+xKgNZAsny0D+RrKEtCunVFgvBJIiRWynUoErDK5IQZtKgOx5/l5K9kUpKHmDraeEBfsIuKV99DKgZ8FnCu6s+8fRuURxHatPPS8iJuILD1aZX6jiTii8cg1H2UFhTJGWU9el6sss6TMM7ATbN72sx4PPDOnEFfqOQzXWhGk6XcmiICorOLMbeWWflAWagpG6D53OVDGQKPuZjhbESuAkMt3FztbyxCnQi2SazhNsUupS4i19LsvgTm3efK+YFzj/pUI7chOCVQ5cngVPN9WKE8Ug8NkwWeP02QmOnb2w5j8/AvB9z30W36+8/OknvnbD7k0D7njM8NRh+w86wk6h0imwdZpiLade8y/DN954JRckWbJAgMoehcGB3GpTacrYzjcpNK7KgJ0N9EzlSRnY+RwUhe1HXAvgWcCZ6W4nkyUm1dujteSeG+G5IefbmicOV8Hx7AhoafL0fM7gjLJ4xlyFD1wuFZW5Jx5FLtdeHDAzOaDdqtGPFTUFbmz/FpXYAUoqKgMcC/L8g+RYpaZI+ybT2iGlSbTA1YJESRKlSZQgTkFeLl7LyiFkBvISqLOSCYFOQU5a0pxloouk3Ugxxkj9SpnNx77zCMit9RnHiihSHDip+OqjIdu26xtuvfVlL//4Z77wwDve8q1rA/zx/QbXjb/1waf612ybPUcrmaEX+Uhh8KTAETbbZEzxmJ+kXL7Yf0vDGsEFRXayBHC7uzBp8mB05JoqgTxjLCerjUhrwLNST9tcnHWqWFmi8u6VAthZ861l71RzO+R6O7MELWMX4Hbz6sQIQcTn7/d58NkG0nfwpLDzt/MKwvJ8lnIddXFS89qdUgVmohWJVgyGLrdcMeDbXtHl/Z9vECY+vURSSbeBcWRRrZjLFClTFi9/1AsxOWhHpu1hIgd3oiRKacvoUqajJXSpFLlcA2QKkI9kmzMmzxbpkkwVq8m8PHKvqGHJZMpoWYdB5s0zFT+iXlvCrYTceq265pKNvW9NkuiBNRl8afEszUb99V+8/e7vP3ki4L7Hp1nsefYQSVDG5KxcFLTbL6ZL6ciyIjGMXK/pH1ti8BTcGQBkCRSSouahPNogY267BUn2mpTByduwRlg87YZx1Si47TiFMeZOeza9tL3NdbKGg7h0jwiJ+Ku7miTGR+XZy3KAWfQ1Zs7GiAZnrF1PSzsdKsmCTQeByztf3efPvxCwoiMGSYVBInBjchaX0iBjkRedWbtwfP2UFNakKIFckDjp6AaVgtwxKG3lih2zZysYbfZY5qXJhUVZru4sypjzppQc6IVUWQ3w0bV9BOTZz0vlHVkWXCnNFTs166d92t2IU2fi73/Jda+95+TJM7dv27Z5FOCuGhLH8uLLti3s2rVpkWePNVDpcPriCiw+UKdPyqn2MqBf6CZEiclL8iQH+lh5Zq7FxzRnBvrybA+lRKHF04q7kWE3KbAdJQonJbcDbce9bUw2KXMXAaZTYm/fDXnisOTQ2QpGuSgp8aTGGa/TKAnwcRclu+edTlqU/GoL8ih22bUp4vKdPb52sEqkPAaxoCLBTQxOLFL5lnbhxKkOR1q5MPKRosTioiSNilEe2UxIR+l8hqRKpV8B7qwWyKRlAhmTk68eogRuRDYxa232XutmsuZVisAzZ3pT5FESbclqpin4wkMdqnODXZdeGV7c6ce3r2Lwx/e1qFaG3PnAkC88adml7tny1ALAoyw9PmHKfN2vX+Quy+WWYhzoJXCrvOa7sN0KySJs97wowG2DTJF3izs5uOUIwMvDf2y3PTmw82xlztwJnmMTO7YrKMIQ8dd31VhaqiJ8x/ru5YtwvAalIKcRizBrvi3XcefetFZEkcPstOQdr+nyxOEmQVKhrzyqidXiWTmrkqTgztYKnXri5WiolE3OPjOd9zg+riHREqWzFcnkz2W+rXqqwWW231EmTWTRHDHO4GNNKwVMVxfajauAcs2SGft5HIPvhbz+5hWcifPU3XM49aK4MAf4H33w8yglWVpaYVJWURPZrO7SfBLGJMhIkDD6bE32Tv9TyJOxxzKgyyw+Ml6sYGxZZnAlSiyeyRWJckYB7jnpACA32zowzXA6BjdPxev0eTJyd5Tt3Hn+BHz8jgaB9FBSpdnL0QtxPIO5alkuHcNRHZ5q8UQRJw5+4vCO1w350Jf6PHO0SqRc+lLiJTp1jwQyMaXjZGx7mSivpzr9rNF9i8pMnmhwcgvRjrZWaUmASkwxrDOfyyLyCzoe0+P2fJaL5SgxeQbyb7TWl5k7BX4O8sJlSRLBSs9HJHVU/xQHn/oEZbvQsf/AAeDS2mc/+Qc7DhxY4ey8w/FzmqWunUGdabbyh7KKvdcAc/m1GH++Wnu/sEQROXDGxyHLEmNnQWY2tclxsk1eU+2txsCdpe/drDFZ25kheYtY1tMZp/cI5YYcOuPQDT1QTipPzFh57PiFO3pARgcajXnhaTdOkfhxqLuC3ZuHPHMoJNE+A+1RSWzNtpNqcCXsRq42sZSxpSYLMgsmLyo9sw53Jx9sat/LBqY6mrSDyCB1MSEgm66VZN39uQFQBJd54Dl2vjO0rGqYGHGZRoE16rIAeRwhiCPFYtvl0ElJN/BYv2nzjp/5mR+t3ffkj/VvvXarBfipU+dxvfbrNm3xfnZ5cR7HdTi54GJ0GtwZa+EVSZ7iRJVXmRcKKMfZO/uZwOZzykAogF30MaoSK6qRoZoZyClqpFUJ1PnzNMmjSL1wC24L4GIokFuWJ2X2Vmlfpxey3NX8//+mwdKggvBdK0+kGVlVisE5X19zjkwTyObE5AxuHZU4dmjWHH7qO7t89YkmS4FHKB0GUlpnK++EL9mF5Xp6ofMMtEGn4NYY5JizIlIGN3mQnoFdSZEyuJVESe6ikMuUQocX7YSFTMkCz8IqHDk2Y6vc2gAvHzORxi/2T4t1xLHFiOWVkK27L/vZp5555oF4OPh0zuCfu+Mw1YrPE8+d455HQnxfIiKDn088Wv3J3yh/k33j8gkeHew4xtoUaW07J29coowOpsmBLQVSFePHVAnUjpQ4qSRxcoBnmlvnQaXr6BzcrpPVX4yyt6siPC/kL+9yee5IFaSLlBI/K40tWZv5HvHpH/mC1YQlNs93qijJlFjLdJMnlyt39XnLKzp86EsVtOMzkB6+FHnSR0lBVAroxplclJm8nDUs1cRoBcrYVUEbYcGdTQlLh6kWYyWKWTTFZFrbxynkqDzJnZURDBSvv5lb2cwoH0NHabZtCHnX6zvEyQBVOULScfF0QA5wT03gKZ+qbFKlQTJ08oHp4w2zJv1uZq34YBzYJbfEvp0V5ptVA2VGPOM8sBQFm+cM+Y0ALguAq1INtZPWpbjkUsRVhVviloYDFZrbsrfr2KlVrbbms3c3WGz7UEndE1EKxl5AoiDEKJOXg/Rx2y7vaZV23mNiN1Kdaiq+/VV9PvPgkKWeT6gcBolM7UmRujeiaMaW44kVy97ZWzpn86I30smcFZU+T8de63QcdnbcyyAX6c55uZRM5Yldnct6XIzJFTEKcGEQ5oXRboQt0srYO8OZMXZ0hudOMexP4vhzeM4USZwCfGXxALX61EVHDz3+0/HKPIMVn1MX7OgwvcYHfsPMe/ZlsueMnewS0EfvYm2JkiVORoA9Ovu73OFih7szCu5sZ4OMuVWJuVcxeDZuohg54SibuTx2XHDwRAWNj5BO3pxbVA+W4wdRcjWKP75ci1IwuSjJE5E7GXm7WeKAcdizPWTXxiFL+6uYxLMsnliZ4pRcnII9y4VeWb2QLHnJKZubwifXspgbWY5tlLYXjU537sgTWrIgoxzcWqSzVDJNLsakihjDg8lfrCVTROnZ+D5MBmO3bgkVR08LTi/N84pX7P7pW19261NP7j103KlV+ji+s8H3V15/avEIS/11KGF94tzGWgvcZtWnj36hMb09/pjPCmEU5KPypNgOJetcKQM7f1Sko4DLPnj5nm5prcrgLoE83a/eTUtDM/ZW6WvHiVAq4gtfa3BosQpeIU/cknU5csGyevVbiyyK6U+l4qLy7mZZGW3osHM25E239Hn0+RpolzixWtxN0uxuMiqVCuYsB0spyI0ZmVWTP5fpc5muKjK7i3RbGpOPW04USJ2tsCYnpiLhU36esnSpvS1veymD+xu4TtmLfF1Kj1WSCNZNBxw9f4rO8PrXn1sMNnR78XHnxDmHyQnFE/s9bn/Io+raAe+uECTpEjBuD35DCocR5npBezA7CIxq7UKmiLwMdBzYOZsrUWrCLYE7nU9YbNvBamA7xYCgfMSbo1OQx1aeqIhqLeRrBxSfvrvOYOhBzcGRAleMSpPx71/+m9cEOGP6e8wyLPviUeww0XB4621DvvRgn0cOeJi6yyDx8QT5habyzy90cGktzUFezlnY4DO9wJRl80RaPa5LrJ0F9ToNLqUWJf0tSoHuaAxV6O4iLrDviRzoZXC/AG+ucu3MSJIM1k0J3nSzy7ZLBBumDTM1g6MTQRQa6p7H1TsmAJfeIGYQZN5p0TO5FmmbF/gyI2y9CuBilTyRazzPpYgoQC1VafcGJdLalALcBcizslmD4xQjlJ10EyZHjQLdzdna3pWyAabnhURhwpceqvH8yRq4LkKqFFTp3JBScCnk6Ekdd41yBsprLNKanlImU5ts2z6Ze+JJ4hCGDpdti3nDy3o8fbxKEHsk0mWgFV7C2HfJvHDGGNw+rir4VNnFptFKoLI6ECkwypb/Z3o8X1ElSF2aZaiLVUOOA3w8LmEM+H+LTGf+1dNjGCeCfiA4v1il1xdMbHRZtyEmDDXOU09+DGMkrujzppcPOXHe8OQ+SW+Qnqy/BXOPOyYgRk7sKs3NWqDOGLscYBY7EBTSpGQV5oydAbyYnJpLlJS5LWObnKmd/LF47qbBpaMifC/k2ROC2x+s0R94UHeRIqscpGQPrpHFLP2dZWrIalEsutLKwjXKZ4u5Jirv9mk0Qt7w0oDP3Dvk6aM+OB5DLfFSLa603SepLA1EQi4PSMa8XVU4OXbmZCpdpGXzbFXJgnxtLNilLhJtQpfdlPSc64LZx3McqwA+BvpxkvxGIJcSwtjwzLGQo+diLoT3snXvIwShxnnPny8QJZLZZsAlm/oEw4ROq4IjbErb+tRrrx3jn7+m751/cTFyBa/J4rIE9rLmzkFu9XY5m6lUWmGYVhTadq70uVOeDz4G7vTuZlNo0wJ/R8X27kS4bkRsEj7/QJX7nq1CxQFpG5rdUgnvSGls+V5+8YIMVLYMRamp3DoqiZYjQA+GLq+8ss+bXt7nuRMV4tjFCMVAOLgJ+XcSScHixVdYm8nLQ+yVypjbsrl9LZBa5Do89/szRs9W25TB86GdY+AeCThHQF64KmsBW7zAiyxo9VzDprmIl9baXB30uW73ItvWC4YhOHU5gXIkvZWQu064TNYkG6agUk2vTvHNXVWi9J9xxi6e2xeyDPBSW1d5Z4ERYI9IlXKavnRXY+BWpbtTbIKaAdotgTpzTqxjYh+VivDciKeOSz5+VwPwQLoIofIuIpVupFrOupYdoexsiPyYlARdBirKzF3S4EbYHTFUOvoh3yfewRiHd756wJ0PDXnsiJ0kEGlFPxFpwVcKuiQDTqkOpLi8sK6EzeKVgZ79VKWg1zLdzycLijPtLVM2F/YxP4e6NLBTli7+kQRYIUmK4/X1A81VGdA0DosTw4QvuH6nS6PqE5sGvU4F0DiXbZZIKYkiyWCg8g9TpatwrU8Tq56UA8tSZDyiwUtTVsd0dyFVRJosKKynDOD5nLwyyNPWtGKzKbuzQzEAvwD3CGuXHrPG2kyqKBXjujFREnPPI1X2Hq6C64K0waUnTGlybDmwEqsCK7H6iJVsugzoouRqMKrF01Y2rVJHJXEIQpcrdg155U2WxQeJZfFAeAw1OIkoAr8kswstoAqJYr9AuZ6obF0qCUYZpBEog81+GoEwAiNAGlFIlVJQWbB3el51+cIvzXVfIw9ij9JqLS7WAlv6vk734VyKXVrdCbRu4vkVHMfBGINz7R4fJQXDQLCwpOkOIAhtG38RiIwJ8RF2ytG7qlosr4UeOemisK/GHJPRPWLG6k8E+d47+e7FWfPtSMNDsXWJUmPgLg3Fz90TlaCcEsBTieI5EYfOCf70Sw2CyIWam8oT8tY0Vd4lOL9wi/hjRK+sJqMRoJdlSnlzAG3W0uIOdV/y7jf0+fx9dQ6csRdfohX9RNkqwyRN/iCs/k5E4VaUVhKTAb10mqUptLhMNbrUBiPtOTJSWIDrUqyUMbkux1JrrGwlQJc9+jIJjgD8mwg8baAJQQgr3QRtLOEZDOrjH/kP67dvGv7XijywRwiHYeiijSiBkZJMKGnh8j0H4Rq/lyVjxn+WvS+zccDpYzoeOAfu2D0bmVD2uPNHp9Dd1kEZBXd5r56imCrd/cGJ8mYG1wlJZMiHPlfjz2+fBN8HVUEph5oyVJVJx1GQNzi7pda4IpNaTkRJismwjASoRSxR2I7ZRSskaeNv0QuppEEYzdYNIWcWJY/v9YiFnTyghV2FHTGeYFkDPKWsoCi/NiVRY4r6o0K+lLq5GC07KHd2rXkv/39KblI+hZjRx7y5Jqtdz2RS+l6sBXEsGIaCdtdw9FzAk8cDtu65ZsPVN778K85nvro4eeFC/MbHn0yYatidxBxlWQS+fvp0jMyLVHx+QIHSQS5kSVmSlDV4utSVWXukDtyMaG+Zg6GQJKqkvVW+00NpIyplxiRJVimYsXeE60QcPCv52Fdr6fwVy9555372+YKR8cKy9HeXA01RfpEDaAwculwbUswVtIFnMb1XJ4pEpVo8cfju1/T51D019p12QYYYIRkmLg5pvUh2rJMUnkmW+MmgWpJOaSrcYGdjZd9NpkCUBqSxsiXT3dLYzzA69cd1GqCOrM6jbL6mNCm9V5Yl5YuyLCSEIB1/ZyVKlNg3r90tuLnS45JLWm+cqh+fdHwJFeXSrExQcf3iis5cja9jE64OPscBLvJlZ8Q2K8uSso6Vo8/LALddJJn+Lj3PgJxVu2UavARuO5FVp4/WDlRKozK/W8UoGaNSeZKomM89UGffoUJ7SyGt95130LDmCRSMvy5LuZwUS89HG5BHPPHSRCpHi3Qv0iKFH0YOl10c8OaX9zjyMZ8wUSAcEuEwEAInSe27jHzIHBVBmY/zEDjVS8YIlCkKjoy031GVWVeYIsUvQEsLfJ3JlJIPXgZ7GcirwF4my1WS94XkSQF8IWAwdAmDGivLEqM1jvITNm0csH16iW5/kn3HK7R7Il+WRq+o0sn6OldadoEUV+j4H7g6EbB2c8Moa2evM9bOwJ4xdw50VWbyQnerLIjMtjiRGkcWQ/OVSnDdiKPnFP/tk02G0iWboFV0zacrSLkGuqwnXyAof8ETk6fJDVkLW5GyL2twMVKfkmiHOHHxk5iffFuPv7mnxpGzDqgItEMkXAZCoJLC0ZDlYHMM5Jk3bwAnu+DS96Sx6XmDSVk788T1CJub9HO0FAhTrB6rzYQU+BQAL4P965V5jOMPLFZ8F9rdhKePRMy3hrxjJqA+GeIcO+PS6Qn2H+4x6CuqQuA7Dr6b7QOTVQCW2GgkxB19fzQ7tUZwkVa5rcWAZWCLMdbOEimj4NaFRJGjDO6M+NspmEf87tJdWhZ3nZBOqHn/Z5qcueCDclJrUKbyxIz43vnz8t8+wlKjia41gU5Zk2aNB+UezUx3yvyeN0NIRRI7bJ4L+NG3dPnVP/VoRzYgMEYSaGVtwyT7HgaSVHrmUCnr6yL4VOlVmM5vKh5l4fhIaQoGN6Vzl1qGJmfwFwg4S+DVGa7KGBoHdpk7suOeEo7vwuyOiGuvOMe5Vo8rd+1hw5zEWT/ZJwkjDp6sc/Z8g6u2wIYZA8g82TLCxOUrrPRecREUTDayFKVfZhwM48ydAbtg7WJKa87eacF9AegSkzs6ZXSdSxMrR3RJqmSMHeePjopw/IhPfN7nfX/dJNCulSdC5fIkbyoes8RGdHcuycZY4AVYPMNVYRWWQZ+l7A1a62Jzrzz5Y7cCrzgxP/72HgdPeHzgc1aLgyIRkqG2AadMyBm8KMDKTlbhmJXtSgvqQrIYk7K5KArFLOnYWM2MJH6sjMnr0lM86DLJjWBGjOKHEtDHFsXsfZOCPCO5uUnJFTsr7D89JIxDlrtDnMcOwNnzDt3lGtdsF0zW7ZRVJ+1lHLVzSjnNseVk3PdebQWtrk1YXZhjxiSKKQWZ6Rbd5S0DVdl10CWpkoG5xOSyqA7MdXf+aGcNLrfgb75aoxVk4LYAd6XV3o4YlScjq05ml61xQsr4LmvtDOSZVThS1Te+9aIeqxOXMt1CxiFOHCa8hLe9ts+nHqix1FUgI9CKCKvHx6sLRy+5F2ZymwcqkkJZfUoWbJqUxXNApz65Nowxtj2fCGEZnlTKZCvdWOInv/bKbD6Ct5TF0+MYhIKFFYe9h2fYMCPZcbGg1ohxLt9WY0NtgDfwqNc83HQvxvLeMmbVlTQqVUYAXP4ScjXYVwVk5banHDClERHSjGjvwkpbHVRmw2kKcCcjAWYWZGb73Dgl9nZrMZ+/u8Ije6vokva2TQ2ZPBmtN8lbsxg96COeOKPHbvSWsmduoRUSZbwZwpSDTiNRpvDF48TF0TE3XxnybTf2+fAXPFAhCIkRgkA7KCHsFiRZoCkKUI/LlcwaNMbatRmzK1nIKCNLhWLSTmEYYe7UajYlDOiMxDK2NtnPCkvzBZm7JIXHNXqcQBTDIJCsdD1OnJuiFc8xOTWDs2uzYLYukaGDNg5RbE3zJB0lMHo9l07Nqg9fLVPGgZ1fBNIUUmWMsYUYY28xCuzCRUlfK4OTjhizG2SlO67JZFSSZI6JLEkUad0T3404clLyp59vcL7r2f2upR30rgTFjg1j8cIq3V32nddg7/HbSKKnxOyrtlrMtmAc6bq3++fYR7v9yfp6wg9+W48H9vocmZcgIkChkQyFLG0iZUGVgVqMXIWFTMr/m2cz0/NQZnMh0q4a8hrycixlf5bNfhep3k6fZ72ZonhO+XmZzYG1LL18znqiSRJDlBgGwxgqmrm+wbny4gUGvUVmvSXmW9O0Oi6dvmQQCKK4KMj/ZsBdvgLLgEZQWiJHdXe2dOUHPq+vLjG3ygA/BvJ8Rvb48yTX3hmLO9k4YBWjZIKT2oKeFxEkmj/8yyb3PVG1vW3SsdpbStu1I4r5K/l3zVaW8sW8BpOXcV7G+uoMZuFaFHu8l8tny2W0tt1MZ45Koomlg4odXnldyI+9s8Mv/qFHEEubgdKSOHVVpBal72ZBPjLCwdiWNErfz74Wpdgg7a43YKRJA0yRXwB50Jlf9GakXkWk7F0OKMel7FpOyiqyMHYntjg2DIOE3kDT6hmOzYfE9QGbBwOcR5536HQFKmlz/e6IfcdmieIqUWyXR6FHfdtxYI/7mCOGvSC9cl/AEhwZ7LMGe5f2n5dryRNp8m5vu222LkmU0tjfTHenM67z4FLGuF7MXY+5fOq+GkHoQtXJtXfO3nlgy8h9LW+/vKza+9pNx+WulLx8NpcGRfGVUVmV4WiteKIlUlupkgE9jh2qtZi3vXLAHfcNuPMxZW1DbOd4JBwG2Sqafsuiki9la1kq5S2tMtYizECdfk8JKv37stfGZNlvk7soUlim1/n2g2ngKUsYKuHGjODL5Bb0OMZNBvBEE4Sacy3Dc6cNF2/rc8sVMRvXGxzfmUTVuywvR3zlaYmJEoIoBTcFE5f/9a/H3Dm4MWsAejWLi7LeLnvLsuRYZPo330/dvs61dz4JtQC2o8aArgpwOym4PTdipWf4/AM1DpyrWGkibEmsyLS3oDRByqwCd/635X+/KAH96+iT0knCiNySG09h5+BeNRyoqFGRUiF1gtQOUeBw6YaIb3tFj0f2ebTDNP2qrR4PUWT7QEhSb3ykjLY42Qab3MkvSGndFpW2tBVsnkmVNOEj0hryHOgiP++a0vEzBcOPA3004BytIhwnDCkErqtYPxczs6HF4nJIq+Mz1aziPH82ZGER7n1gHd1+gyu3O2zfYEebifI/9nUAnTP1C+jvLJDItp0uLLbRZEkRYBbALsCd+eBFcCnzwexmhLFHAsoskVN2UaTtlNck/NkXqrzvkw2McKzvPcLeFNpbrvG9xwLK4uCPuk0vxN4jlXyM6++MyVe3suksba81OpFoaX1xJTVR4iKV5sff2ufwWZf3fcohiguQawSBkCidDZLItEIJ5DmoRWFTyBL8RZrSz9icNLMp7L9p0tXZ5EDPMr9pDlWUtLcogt4iNigdx7Gtw0V6IZXx6DiS6Yrk2k2SK3fVuLCimZrrMzHRxqkIh5rwuXhdg2bdblMSRun/URUsXk7SlAE9ztyjwB7N8o0weDmoLL2XedwZsxcz8VLve8wxkRm41Zg8GduzXqV7z1gNHuF6EYfPSz51T51ez4WqWs3eec13aXURRYJnRJKNPYdvnOQpGLwEeihpcTHinpi06SAHusyALtHSanEpHaIooVGPeettfb50f5XD59Kkgh1QTSIEA7vW2O+oU8SYAuwmB3XqlpAmf/IFJ3NSstS9ZW+VgbAkQ8tAz4Atx1b5/NhJ1mTuctyXNeFkF0E2THVpxeH+p6ZwVZXL6pP4fhPn+t0unY5k+3TASgcOn6rkEbygXAtSgDMnpjWCBLHWl85AnCdGygxoRuSJyGffFe5JDu6MuUV5MHvmnOiR7TZkSZZImTomKZM7TkwQae54uM5Xn6za4eDStQAfY++syEsJwUgwnF/4o+nnDOHiGyF7lNBHgV66a51mDzMnJd2KxOpuXcgULUmERCUSLRRR4PDaa0Jee/OAU190CbTV4WklFDEOQwFSl7atEiI3sLPUj8rPduaopLXighz4RoiC7I09p0akgecI0IuMqs6TPcWsHCGwZb0i+z4lsJc1eVp+QHbdCnuxapNw8NSQMwsxga/YvNHHuebamZVHHl/80qNH4u/otGKCgWLjrCyNRiu86FUW4AjIzSpQl+ukR/V3BmZKy1cG+hJj58DOgF6UjY46J6P6W+Xp96T0PEbKdBtyL+bexzx+7YMTJMYpnBOpEELafYBEkZYfZXCzakVbi8nz29cD+liyZzxlX5YrmmzqVVqMJQpHJdfk0nrjQjvEscbzEn7uhzocOO1w76MS7YkUsvYPiLRiQFlQmZIsWUOT5154utpm3zcNKDMdLtILQFOMkjBlPEDhk69qgih13ecJn3GNLqwkSgGp0hr0jbOaxkTARRclNKb9L8Xe1hXndT/w5XmB+JUkmfuOhjtk50aVTlxNC+myYTLZiStp6jUdFFF8oWK5WcMtKQ1MzwEuSyBSxS4CakSi6CLQfAFwZ+/ZC8GCvGDxmFOLkj/6dIPjZ3yoOTlz5+wtMu092pK2dmxROi5rrmjZiVsN7hEdnnneFE5Klq5f5YuX/PFEpuytFVLr9HWaAIpcdmwK+fHv6HH0mMeJlgCR6k9tUz4hMq02zIBeYvLMF0+hrlLZkI7pLuRK9pixdPpapFahyR2VItubJXfyIVGyHMeVWL0MbJMB3u5FpE0xnMqJBe2ew45NVV62QeJ5T/+K0U/POy/fY3fl0okBPOpVRdW3Q+FzP5QC2JkeKp6bETYvM3XB3qVRXmVpkkqS0eCy9FqOgrysuUcAPn5X5cAyLYVNnydewp9+ZoJP313HVCyokVZ/CylH+i2L/sav0zFfZp+1gMzqt/MEzyiRFzIFRgLN0fmFaZCZzg80KXMbo4saFZGCXDjIQcLbXjXg+aMu7/1jh9CPR65Io10C0qK6LL+eWGQasvrw9FsKq8mVJB83nBpANtjMGDmVLdYeLBaE7PwbSgFmhpEkw0/K4qb0NctlM/miWOwcEceGONaEkaLVcTl+voLvu2htcK69TCOlIAw1/b5Nbwtpl8ckWxLHkj1ruigloK8GuWHcIiwz+fgI3hGwZwwuUoCXtPcIg8uk5KSUwZ0gS7Undz7q88Ev1hkm6RR8kVmDadZSmBHtvWZqvgz0kZVr9Yr2jbRKtpuBKbNl2SbErCqhNbKU2ZQlZ0UoW5gl0+IsqUm0g+9qfuhNPR562uPOJ61dmHnjSIE2DoG27Wh5Ecm4dZgiNZdSQqAyNi+DPGt6KGnu7Hcy0AoJ0pgRkjDp8TIliYIQq8g0P255jGJIsiyriEGAd0GiHGN7MqeaNhEg6iFqpoerIEoU3b5Ld6AII1uLbPToeSpLD0aWnTU0eJaaX8s5yQBetgfL4BbFzl5qlQ7Xox74OHvLkjRxIvoB/MqfTHD0jI9xit2SR7R3liUdAfYYoFkDzPmhGaGZryvIxzcQGM1olouvzIhMGa9N0TKtOJRlFleIRCOEgww1OzdH/IcfbvPQv/PpDkUuU7LvleAwzDIsWXF3WaZIQKegtsWmls3TgNJI0q6kFMxpTUqR5CnlDLLfKZNeusyNJgpNXrw2LvOMMWht56H0BtAZCqIElNBMT0RUKhb8zu6daeBhAlqt85xZshkx35skiOpEURoBy9JpSj+oCDzHnZNiZvSITBlj85HRu2tKFF3ywUt9iSmb58w94pqUdudNPW/HiYgT+L1PNHhyf8V63jJj7sI5ccWoLFFilLVFGexjzE2mGUUxdHMtvl7F5GPOSdEAQVHMZDK9OVZtKCyD50GnlhbkiUSL9J6kUkVrrt0T8VPf1ea3/nKSMElZHPKoMEER6FQDkwroEshziSJKWU5hN+g1ZTaX2Ax4JlHSKbPGFLJl/JiaXJaIPAlEidmFKPnzJYKIYxgkCW4zJtGGk+cUYXWOjZMNwijBGdTeTr3a5MChR/j9D3+Ch5+fZKpm+P5Xu2yZUyS6dBLLoB6Jdu2fWy7kWT0qYNxBGQV0AXgzJlNG92cs2DspdHk5qTNyT4f4VBK+8rDPBz7RoD1wrQeYet6kTbrWOSmyluVSXjXyvVfr7zzYLid4Mp95HNJrsPYqvI8AvQD5KGunU2EzSVJOAglrIyZSIY229SqxolnR/Mjb+zz+nM8dX1NQi1OmLk5urCVDSgFnCnKDLY0lty2t552mRG1ZbyZhdCY3CvmSrd4GkGbUWh0JNE1ZBYhcLY0yO7mFXfElN1yk+d43tpish9z5eMi2S2/jqstuojfo4FxoNYhNnb2HZ9h3YANXbvKZrktWOh6NqqDmp7p3FWAZ8SpltqSsob9HkzklvZ05KWVZUpIkhUwpdti1AE9G/W5prUCZ76tuA0spY6QTs/+4w3/7eJPDS16avcpcEzu6K2fvkuc/AvK15MmINBmb1rRajYyqlFJiJwf5mO4uqgxLZanjHrlZoxDL6HxTWZFJFWEQ0kFGhl3TMT/5ji7HzzscOiMwTllgCZAuSQpyxkCeRXwqX8ZN0XSQsnsWaGZEmLP4mHSxcCnPyQGRjMc3pgC3EavOgZSCelXSrNR57mCV6YmYq7a22H1JhalZjzj0cNZNuNTrDpdsdnn1S3wmmj4VT1Cv2kn/GWuPSg4ztkSXdxZYLUnK/9/CHiz736ObGKlUhhRMXtLdSqevx5M5BdCtLRjj+THn24Jf+eMmn7qrhnFVkY5Ppcla7K1KF+Bq52Q0uB5P6pQZptDho4AfYe0xsGfvra5JKevwDNDlADTr/JFpUVP2PA0+E02MxpXWVWkHkp/9TcX8igC/TLcCg5MzeSFP0gste0xZW0kwaeFS4aakPnWJoTNwyyQNRFNsmLIsSaWJKR3jtRKIUhZzARJtWGglDIaSWsVHMI2cbrK77tHvV3AqvsJzq+c3zorb3/jK+uuVaTMMPXpDRZKUgixZlhPpB4753KPAN6suitEAc6zmJNfhesQ5KW8drUoVg0pkbG0zlTJ1TexzW2sSovncg3W+8mgtrTXJLEGZMnjG3sWuweV5g2U2WVUWW9LilH42ztw5+FeXMo/IldWzQ9I0uC6q9MqVhjJ1U3I/XAiESBM/qbMipUQblb4nESaNrxzD624c8uaX9fnzL0nCWFjjP/vyEgwusREM087gLLFiZUpZk1t/3KQJOZNrb1uQJUtViTL9WfaYyQwx5qiMlNKa4hykX23E6RlqQ2+gORFIVgaGLRuaXLPC7Vf5/vl2d4D6zd/6bb7/nVesuG600g3a37f/+DFmJwNqvkMYOwiRtoOpDOTZQJpit618lkm5n1Jl8mKs/LXcmVOqKxkvhZUjVqAZAbccSegUHfFOCm7HiUmk5jP3Vfn//dEEx877aRODnS9I2rEjpMCXUJF2kL2TjoHLZosXg3mK0XAqZZAsQZVPuRUgpSTfVkWMDum3YzhkqVMpPbly9HV52sB4lWV5dSwTj51SUCTXxn93NEFnATLdTLjs4phTFxSHTjp229j8aiyu1swBKcZfjP/O+JU8fpGn/87qRWvU/x/jgfJWJeMzE8v/tjaw0k/QTp/161vs2rWdemPi3zz13P6H3/CaV9k9eh7aK6jXBA886XH7/TW+5RrBdZcqar7AcxMcVbA3OWOPbvSZM3kp7V4wuhmVKGsFlmJsD/RMpqjCNZElKZKBW5YCyswSdN2EY4uSD3yyzoEjPjRULklsYsdq70ya5H2WjHv0rN0xXwo281MuRgPKUQ+8CMSz31gr2WNZW48lfAoXRY5kN4v0vRR2pwMpTO6Ni5zZZYpFbadeGeuNR4Fhz66IH3pbl0f3ehxfKC1VedBpZUiMYChscEk6ws3och1KocvzGpVR1WPT9dL+rMzKuYyBsW78MT+8FGjqlGgQBs+RbF3vcv0VQ27cExC7A6Q/BFPahGrb9j3U6xW2novZMXOKJPRodVyqfrHNnswa6Ch9cEmejAaXJWCLMsDLW84VwaYobQ+dAVvkwaWmcFOywqmSLMnfS9lbJSx3Bb/z503uebJSVAlmGcsU3EqS7lBcHoNcXKyqBOa1bMG1gD9ugX+zt3J3/UhVoSnLl0yyWEDlMkWUwF/KdEph0MIgtD3OWij7Wih7GQlN0te86pqAn3lXh//8J5O0BhmwU8RpkYLcIZYid1AykKMtkMkAn5JF9h3zPa+yEpf0ghDpRVDu8DFjxziXJabAU358NSRC4Bo7LmKy7iCSGS4sVbnqup2s33opcTgsAL5hwxy7r9p1x5nD9/+a/7LmzyZxzNyUplmLqfoWRNlyUHZyR/U3I6xeAH6MvV/gdaG1yzp8DOAqSX9W8rvTNHzG3kNp+MNPNvjjTzToJm6arVQjromd3Vc4JyNFVRRMMZ69HGHqNcFsEPmei98c0se768suiikBvszmxfwUkQ6kL0a+ZcytpUBoaY+vMTbjl8YeQmgSrSA2NNyIH3t7l/klxe/+eZNBJj10xuaMgNykA0yynJBJg0wnXd6NTsdKpL+bJ3so7MMs+ZO5KbLE3ikxrwo0R1a61GKKYwDNYismjhUn5ic4Pxz82g//0I13UD8ApNWQ7/tvv8PuLSpK4sEljkq+faYRsXEuYGYioF4LcVRmBxY1xOUWs2xIZN7xkmlqVXo+VvoqS+1m+V2M6m5ZliWpe5KztipS8jItohKuZu9hj//ywQlOXvCLVHymu1XaaykElYzBZaa7C+2d2YVFH2Z6AUjI9+vMtbTI3x+ZYS6yyaup9pbFMNJVelsWdtmIBpfZpgAl7V2aHzOSb4CRTPHqgD/V6uVyg/SqqXiadVMJDzzrMr8gLSuP20Hpay2K/h9RLOOlS9bKlJGrPGXiMkgzLVCed1t+MqLLS8G41raLfhAKeoGgH0EYgU4Smo0KCP78nnvvffC2V35nweAAL3/lW1FOhQun7kV372VyIqLiD9FGMBzUafdqaC1G2ZrVzG1PjF6VtRxN9JhclqzloMiS710OLKUoZSnHUvGOm/DMUZef+tUp9h7yMa4sZEnO4LJkC5p8kM/4Tg1rWYNryZSRxE4pECuA8U3KlbGTP+qLj9uFtg/ROhFWkkhTSBYt7IWkjbSsaAzayPR37IQsoa03nmBAGERouPriiN//2RV+7L8I9h5OgxOZfRlRLCcZk6dg80r2oc5a2lKJkq2KJndhUjeFQnNnbG5lismdk7L7VH7PAJEWrATQCRPAUO0rzrdirr/hYt751lvp9ob8ws/9+1GA77yojnLrVE3AvufP84kvN1jsVqh68MZrJZM1lU6cXTuILLauKAWg2RKUJ3fM6PM1gC7HZEkWVIrM+1YFsGWa0HFcTddI/uCTdZ7a55OoTI6U0vHSTgXJbcERUJcrGgvCGp87uGosxAjYCzIbI7QXxvUarFak7i2oyoOBctCnzLeqZtzYud2WiCzQTZbZFGkIK2RKRNLqcW1I0DjCcO1lAf/bW3v83G+5dGMBLuRFJFkzJQK0IhGCMGtj08JmctJHg21GzgzCXNakIDYlAskAb2VJadvB9PiU5aLFkl11d26Kec1NLap+xHIX/vKrPvNDj1jOEoheflxzgHtVCTiH952uH/mvf7lj14Gjgsmqy9yEYGvT4bKLNFXfztQuAsjR7OSIBpdlVh9n6nGQpxpb6Py5DTqTEuCTXJZIkaBEjBIJjpvQ1/CBT9X5+FfqBBmYx5gbYS26vKDqBdh7NJO2hnuSgbb8PLPQxpfmb4LD13ZSUmDAiA7XkI8yLjO61e0pyLX1wzNWF8ZqcS01wkjrORtjn+s06DSGJDF4wvCO1/bZd8LhA59s0IuwByzV4fljCuFEyyKQTFP1tkbGAlmJrFalAPV4Eqhcm2KBXjRH5KAuLSSOgmZFsHtbhSs3z7FuOqRe7XLzHkXHVUc6QfVwYqL8mGZtdvzSL/02uy5/3ZEgnF7XXe7fNuV22b3V5ZItLjMTilrF4Lt2vnbmcWcaupysKdd2Z53w400LRRo+LQNQ5QrBogx2XINn4M6CTMeJ6UXwJ5+t81/+eIL5Za/UnZNlK7PXEkeAL+0oCLc0DsLJPfry/j+F3s0vAFke9l/2w0v6W4wO+Rfl98Y1+JgUKjc3i6KaNR+YM17fMx4Al7V52ekpqvQMq6Ql6ftpScBkM+H6y0M6fcFzRxybBBrR42bkKjfYJg1rQ6yxdIlRrV38rDSlvFyfk70pxnY1Tv9+R0HFEzjKodX1WVipcGGpwsz0xVx1ySW/5ydH3/+Sq65bzeAAW+ZcfL/yhct2+G/ZNFG/puobGjVo1mJqlRjPKbpnCquvcENgtc9dZnAhRlm8rLnLzC1FGdwlW1CUO3MSZMXw6S/UeM/7m5xfdsFTa7D3aMbSFSUgi7F9digYY7X3XfjcI+d75JSJb0TY35DNR2rvS1IFxpm7NCQzzXZqI+w2MdgwLQAANyJJREFU2qJI5wtTeOJCZKxN+pjJFcviaIcoNGycSviFH+mw1JF85PMNqKRLxyomtzeNJMK6JJ4oFV1hnZSMwUnZW6cBe77fj6CYjpWtnDp7P/PW0wMSQz/QLK5EBKFmsSWoVV2G+E+t3z75hcFgMHJMRwD+ute9li/9zS8/sHsrj8Xrw2u0jnEUeE6C41hGLkuMkQBTlNlh9HdyAI+A2yCEHpEoI8AW5QBzFNxSJihfc/i0w4c/X+fcgmf97lXAtnsMilRzuymgnTQxMd6pU26EzsHMCGEVxJTSZll/f5OqpGCrr/fzkYaHkjQpXwiUNHnmPWfAznS4ttuBSGGblQtpUgSbtqs+88cVcWjYOJvwrm/t89DTHkfOeOCnf5g2a4LcYBNCmVefjZvIgK5SySWxMxKNTu3D3BIUyOx3TOFU5iuTgUTbmu8wgkFgaHVjhDB4nqEVrDz2xP7PP/C+3/nFFwY4wGW7fYSQLJz//9o783jJyvLOf9/3LLVX3Xvr3u57e98bupt9ERAQRUVRxBi3MSQzTqLOYDTb6KiJkZjoaCbGGKIYE2OUSeKCCYogLigCyiqy0zS90N30cnu5fddazvK+88fZT1U3NIuAM+/nU7eqzjm13FO/9zm/5/cs7w6K5iylQjD7Wx0T1zPxVWyrgq+e08Ehr5yknUuV4u0RuFMOpUjALULnMubf6TRYW7F1j8mffq7BjXcXA96R0brT2negeUdtIMxcKFyIw1CF9DEydaLT/Dw8E1G0LT8P8tw9cqryKkk0K9Jr4fS0dIsCPZrYegfA17H+LQ+TlCUI1twUSoZBIolQIIQKtPKQRPjCABWQB9XRvPTkDh+9dJoPf67Otr12YCEgq5FHlzyMEOSRnJeoVVFuiox5eVjfGTmdRE5lUgEkdJKp6qfYka8FHU8w4wiUCtY8XbnYZsXQfJTuNRs9AC8MvQkpTWd657/Qat/CN66zqRc1bztfImUF1zP7pe0Tpc5KobPgjiw3fRxMqXoBngG3n7LqoWpiKbbvN/nI5+tc9cMyjghXo4ottpEBtySw3kmed5/ltzOTNMdbU+CMAZw6Ji0HHtFwp3fmE/fDP5Fy0JN4EQV/YkUlmydOBPpMZDMphJAq5MoiCf4EsmIE+MSLjSiLpzRF0+NN57fwFXz4s3V27A+VFXLgzljzYDJFIXrC2k5FoqxEVUHB+Q8oTRTckdE5CMPz6dOngY4ncITLf75oP/Wiy7/+cIAzjlvJe97+Gsf1PC7PGvBegGu5iJF51vs3jq889mvX7n7Jzt0u9ZKmWevwylMFab6ddgribK8Y2CktXKo+akoW2ME+P34eSYOZMLzps+OAxQcur/PvN5RxZLj0muh3S0csU83rw5PYl5qQduByikkG8Flr3WO2n8LI4zoT0SQftg9NSrjUSGTBs4URJPw7w8PTIJdhnndAyVQI7qig2PPAMn3e+so2pgEfvLzBjv02YR/m7CSMGlmG0WKFwCHQyi0psDL/S+CcR7RFqwBX0X4BGXDHcymkKq85rcPrTy1QLlics14yf9HITxYuXPR+VKvnvBr5DZ/6qz/n1NPPcerl0lnjO/eeOFh05bqlJVYuKFKv+BQLbpjkpHsuwzJWVFQCZpkAO5PnfdhgjspY7gjc0vDZO2nwwb9rcNUPyjiGEUcm6VOCFuWbFGRQSGyFjqUZJlblV2qTIlnrPu56m1ZMhEgmQjryKLJLkEfHJatjZFWU+DiZm1zpiGW/z4+jp8Gv3C9jMK2g9Fx90v5CpKikJmhav0+7ElprTKE5ZqXHvCHFbfdbzLZzjsdh57RITdzetvvBJE2/j8hc3TTgE3BvL/BSaZQUVauE6zWYa1fw1LBfHdzww317Hvvm6MK1Pd+gx4JDkO55aHLm0lK5dFq91Dlx5SLBaLNLvdKhUW2hgXbXwvUMlIq0h0giVAG3C53LtEYeKSQingAqsy0L7nQYXuFZgn+8pspV3w/BLdOcO30foCPWvHMRyzzvzvLq5Efv1x4irX/3A1HSoF0cma70sd6ZH7YnqKMz6kmyjzg/PAJjJtoZ7ctZ8oSLh5YyTMiKdHI/fGMRtLZF+GDi86ZXttj0mMknv1TDS5vHnMOZ/d8kXvAR+DJcR1MHSoqKuHhsyYlXj4gmm68EHV8w4wTfyVeS8UOKTdt9fN/kxJHS/d3O3KWWXev7+X2/1oWvPh/LcP1zTl+pN6yE41bOsHTsANPdKX58X5fHxjsYwgu5YARuHYM7SZRK6EpW105r3VkHMpYBo5uhwBT84GclvvaDMt1AWM9Y6gw1IaEmybo6KUCTBnqiF2fW2xE5kKcsWpprpwGdNkJZG/UkwJ06MJdY2FsIkYpkEhcnZxOxlEoyC5OVk0WP85ncy7gFnFIyiH4qI3xsBI99SUFp3vKKFuef2Ub4CpQP2gPtgvLCx17qsR/egsnkKnAUdLXA1QJPE94C3u7rsFVdigICeFqxbOE0Lz1lH4XqLJsP+Nz/mMcjOxXKXq1nZn3/5NNe1vf89rXgABe84iyU3/rawW13rtm1b1/le/fA9++sc/fDBc47ocM7XisYrttoHejiIlJJZBrsCf/Oqih51SSJWAoROZc+0lQIE75zS5H3X97g4W2FsGC4D7DTjqWIopV5xzJtwXPlaOgMoBPMZoMsOQklG7rPgfoJwZ0LY+bbSMQVu5AKzffJT4mqaHTW0qfvVcaKA7F6EsiIgkRhQQWTXykjuDKEqob2YcMKl7/+/WneZ8B1t5QDKx5b8vCSIHTqcdjBVQSdtFyIA0M+ATdXRLHRINwUyYQRnRwbdnnn6+Y47/gOtz/S4fq7Cty3ucxjU8vmFiw7+Wu1aumw5/iwAG8MLtS/uPvKv52YWX3pp7+6p7JjvI72bI5fJKiYdXbvUxTMLsWCEwA8k/YaUY+ImgT7I8cy2pYGtxAppzIMywsTvn1ziQ99ts7Dj4Xg7tG6s9REyNCpJLUyQwhQgzyoj0A3+qkq9N76WuucNe6P7sPMAJ19YeSUkZEQE7An21JSIpGiQgzo2MFMOaBBI88IjzoI6QPI4DEyCOtLpfEjFDtw7FKXT/7uNFLAd24qp6TCJ/qHAzrr62BVZJ/g+1kClNBYke8S/mOm1JRsWNwwmJse5f7NgpXzW7zr1S227J3CLy86eN/Gu/72N3/9LYc91eaRvlJbn0FbT6O9baxotmnWJI2aycIRA8t0cV1BqQCZNNYUwNMWW2S4drQvbbWz4MaEb98SgPvBrYcDt0wseWhprZia9DbviRy5fAnYEcGexmwa7LmdPVg9Ch6el29ja53an+SlBGCPI4UZa55o4kHQJ2/NoyxD1cPNCbMPCYNBKsXNA9QnWTI4sGG5y8ffPY3WcG3ekvcdikR+kUGlUMjDfcCKfA0V+Dxm+FG2oXFcyUPbbKZmDR7fV2CgWmXBiOTkM9dTKNb5zSN86hEBvnTBWNfS7f/26+cv+8a2bZsrpmlSq0Cz7lMpedi2j2X64ZLZQTfXxKnsA+5oe8TVhc6AWwofIQPOfd3Pinzw8joPPWb3Bzc56x3WRWar4wPOHWcMkrXePZQk4zDmwJwHO9nCh2gGZJ8+McSjltw99IQEuLEIHEuHOmPFE44uUgEkkQJ92oqnwJ6y6jqMeAaxxvB/kEGhBBKEDnrkxEqIozluucsn3zON0vDdn5WOYMl1skNHnm3QbEgJgSuCYI4nAtBrgt/KkuB40OpqJqYdtDaZnDUQSNawem7ZdPm/LR1e0j3S+T0iwG1jWh17zNI7B+tyujW9vVK0fSoln0bFo1HtUi13KRW72KYXtidWMaCD31eHikoW5Akt0RlaIgyFNgTX31bkfZ+p8/A2O8kv6QnBZ8EtRRLQSRKk+rVgy0ts/aU1RMK/E7CLjJWPoBwD/nC8Jbctx0JSO0RsrvOptFmnMwXu9GRQqbcI6zgFCdAzGnnU4zDk4kHcXMZ0BS0Q0fINISeXRCvvhYzZ8Vi/zOV/v3carQU/uLWITw7kUa/lpH1+6hZQFq0FvggUFldAVwm6KnA+NQFO0ArXdZmZ86hVbU4+9cXTA80ld+7aPa04wjgiwAcGhzFN64AUnTeecvKqGyf23GUVbJOBeptGtU2l2Ma2XKThJ70Lox+VUAVNJ1yJlDwYB3hUbLm1IfjRXQX+8K/rPLIjAnd4cjK0xCARfgOLk/Q2SVJh06Duq5DQ35JnQd67Lf43c8eltx/t0LlbGh9xLnjq2Pg1kaUW6Qmgs8EfkZIPw4b3UWFytgyODF1RIbgDTh5YckkwkYJ6TwMcxbqlLp/+gyl+14Mb74pALpJvmfem4/sohBMqQhBHPV0FLSmZdmDWkbRdheNplHK48IQT3XbXeWOjUT9QqRzewczPtZ5hWTa++yDLVw3vWr126dZqrUizMUOtcgjFQTp6kml3ho43S6U8S8HuYJpu3K44n0Al0jq38BFh9ylhKLQp+MEdBd7zvxts2m4T143luXZES4i2k6Um5Ktz0tHLftb7cJSlt+1aX0CngZ+fAdn5fkRw9wvfxxFL8nxbxHw8LyWqSEbMSYaapK94NDFUDOpwKZQI6ErGFCZZVcJI1gZKreymfIl2BGuWuPzd/5ji/NM7GL4Pvp/IiCqSC/3wMhPdh1Kj8kA54HfAayE6M8wvHmRReZwh+wCGNcMBx2fXpKZSq7Nkxaqt9eGFu269dwuWZR/x3B7RggMYhuS+ux7aXizV31EbXHvT47uu4/ofWNy1qYlpGjiez/LmNH/69gnWLPRxPROljeAkRRfvPk6lkH5Qg2krfAQ33FHk9z9VZ9NOG233kQBJgzwCfwJuQ/Tv5y3ygCa7LZMfncNoX2czZ8mz4NUJYUnJjEcEdvQgdVimbUR6G0lQnZRTpo3kmHgiiLQjGmYkkrLiRiQfBt16RDwhJMggCUvKcNJEbdtkmIwlNVobAV0JqxFEV7Fmscvf/OEU7/0U/Oj2YtBz3gptaLy8WvoflMlzrUB7CN/l2MVzfPi/zLBg0MLxLExzkts3FfjWTyqcceqJNGzecf9dd21fdsy6J4LvEwNcGOvQahpEbc8dP2/ffMW3F59z20MwWDaxJYzPCX5xr0234/GlD09QK4PTDZyH6IeLwR1b7tCKFzQ7Dprcek+By/6+xqbtNto+gsYdWW2ZJFLF1AR6qnMOS1OIcr51H8BnJ0GM4lQ0M26qmaYrqckR5VFkrP8TnOcY0zp5o0zUUiS4yMiEIkdTtM5x8UQqDCx3SFdU2KdEk3IwA5lVx8qKCLm6DLm3QhiJ6hIDN8Kuqzhmqcvf/uEUH/mC4vZfFNhx0ITIyCpC/yn1f+powvrgeDRqHT526QQXni7ZNz6fg9OVIB/m7FnOWGtSG1tx84bjz9kzO9OiOVh5QoAbT3gE8Gd/9r9Yd+prJzw9ONOek29uH9zBMYtM1iw0OGWtx/LFB7j5dsHwiM+G5R6SwIoTgSitkYcOplHQbNpl8fEv1PjMV6vsGLeC3oGHDeCkswUlQpJEK2W2aX0UIIgr4wWZSnhDpHM7Yj81s81Ida9KckKSPJM4hB/nroj4Fj+XqW0ifUx/Neeo7oFMTz+ZnZh5+gXZVns9garUe0VTst/VLDOdew4A4cPwkM9LTnEYHfXZuNlk4lD4I0THZZJfwu1aUZQOl7xymksubvEfNwxwx/2j7D1Y59BMkbm2werVZ7Jy2Yr/4ba23TLQXPlkoPvEFjwaJ6xbRGOgfqdyp6+uyAOv787tYsUiyclrJ/nxvR2u+mGdv/uqwTGLDnL28ZKuY6QcS0I1JUygKmo27zb56OdrfPOHZTq+CBzKJwluRDAzM8tsiz7ZgjF4sq0S+m3Lpr8m/CPe3CcGn/w8OS/zaY68wtIbmSRuzZDJMAwtotZhZmDG+kfbU85nFOAhG/GUMa0R4QeJHIUh8REjLy61QIL0FPMHfS65sEXB1vzZZ+ts2U1QNKHDF8WXu9DCdOGMEx3e8+Y2g5bBXY/a/Ph2i1NX+CwcgdNOXEehvv5qu77iTtGZedLn8kkD/JiVYzy+8/Ht5539ot8zuxsNw9110cLhPdxwb5fPXztCqVphqttlyx6XFx2jcFyJafoI4cZWwxA+hq3ZssvisgjcGIEZPgpwR5Jg4FCmcktkio6QoxvRvUw9J7c/BHImByVlrHo4eZ6iiBTgnyySew4VkMr9zoM5fx/sTzmgUYAnTUGi91KEa8uHlCUCdZSMHQeJovwUFYTwZRLClzKSClPfPQ3yMD9cdxUFQ/PG89ug4bIr6mzdI8AOA/Vx03ALIQ20YbF4dJqiWWdywuKdFzp0uvv58e0DHDNbY+HS+jWji8/8vQP79+4Ymbf4mQc4wKLFi7j3vpt3LF21/oGf3rrpou/fM8cNdw1jqSInLJIMNExMOcb4xByG4VAUHQwZ1HhIEZSZPbbP5CNX1Ljqh2W6GIFaknEg81HKVP5qCOTMEttkrXe6xjLOR8+Bk/ASHR1Hz/5ecOdlkwy/zpPto7TmEffu4eGp+3QHrDjJKqx6SVcHJZJhKhoavk/Q5TgbACLWxIkdUJBBwC0snhAh2AN0EzufcTZjVMYWgZzwUE9TNBVvfnkbBHz48gbbx0WQw0wAcCkNqqak0tC47UF+/kCTZt2gOdDiv14wy3BtNwsXruPsM9c98PO7b95x6innHtW5PSqAA1ilEY5dteCTf//tTSt+sZG3zCvNMW9MUikZjA2bVAyDA5MwWNfYlhOA2/DxUNx5f4Er/r3KN6JKHEMkYEb2AjsCdwo1BlGeSW9PwYwsmLrlqUia96bBDb0gz1jknPXOO5ppjB/tiIGYsdgRylPgFumwfUg9IsUkRT3QOlk/HpLGOSEwlRYYcbAoKl4mbMmc9FjRBLWckmBRp+A9RSw9BtmkMv6cAOTBdikV2gPbULz5ZS3wNZ/7Zo1fbBJ0lQlGsMBu1dSMVX2cVoG7NxYYGzaolUs0GxXeej4sWz32NXPwpE9qZ+tRn9cn5WSmx2cv/zv2lc7tTrPoujPG9rxkxaizZLRpYNsmA1VBo+pTLnmUCg7FQpdSoYMnHa68vsi7PjHIzzcWcaWZrcTpAXeKlsTWnZ4UWFOGQJc5eTCumNfkWzQkjfez24PniWOZ2Z9qFyHS7dTidg4ppzMucIi2P4GTGU0U2btNph3H+Hn29QmdEr0Tuccp7XOlyjiaEbWLpmiyfnyydHZqVovcU5FwrmSSB5q6Caxb4fKG8zpMTAs2brZwlYlp2tQsaBQ1tRLYpsTzJDvHNbv2W3T90VtefN7iN9ncM1ssv/yoAX7UFhzgig+8mt0772lpfYGza9OV3PngDJMzQ1iWwLI0luljWR7lYhdfOnzluhJ/8g8DTM7aYb+AyCqTPBZ9aEoK3NECrRE1iRZqTfNrmfqBe8BCnx/7MD96+kfLWu10rkn2h4zA2zMOY87T0cdgQ++xOrNN9KEk2ZB9QlH65KkIEWcOZgqZdcCpo6Ujo0i8DM19IgkG2qMkoisiLD7OcnMpfVTIV0SYZBM05g9iIc2y5uPvnMaU8OVrDdrdAm3bxlXgeuC6CsuCqck5Jg4M8Lpfe5Xz09tF6+wzTngqUH1qAAcYW7gMrdUd23aedOZP77+rtLipKBUE5aJLpeRQLbV5fKLLdbeX+fhXmky2CoFSEv2a0S+b96Z7aApx4XC6G1Us90U3dM6i6V4Qk+LeeZAf4b4vFxcJ6I+EZ3HYPTkwkwdpanv0PLcvngSp7MFoIgRLjSTRTaF1ElPJKStJu4mo6DfqMy6RSgXvIyNaEkzmgBqFC9CGofZAfQn4dUCLwvOd8iFcD2pFxWVvn8M24JpbYed0k6mOZKCr6DhBIcwFp5vQOK69YsWKO6R8wlzcZx7gQg6wdXfnj4fHLtLnnDLzB3OTW4sDNY9mo8PIwBQPbm/z8SsH+cnDA7iqiCwacaAhqPZQyX8tIEqjzJjUcGvcqF6kQZ0N4mQa94jcJZ8ccNO4jC324YI3fUL2PSeD/IueENB5cIsI4aLfTjLcHFLWW6RfljiWWudemwd1qKjEgR4JUqe4vCDFucMclTDKSRjljBzPqBJei6htSirEqYMkqjjMryQdR2AbPh95e5dXnjnOZV/RPLC1SdmS1EqKXfscFi9e2/lPr3753xRL4k+EqD5VmB49B0+Pz3zqL/Qlbzrv5qGGZVRLnTMXj+w1Fs4/yIM72/zJlwf52QPzKFoVqkWTohk0e/SRWedJhARCRA5nYsGFSBr2WDKhJpl+3nlLLoibaGaLe3Ot2OLc8FSgpmdbyLNjTi5Sk6e32DhZiz15nOblyXN6b304eHR8b+56im+nMxwht13HE5d+701+Wy57Mu9c99A40fMe8U+amvFKS3xl4Hk2jlug0y3QdopoXWDVAs3aRXM8uF2zaU8R5UnWLpvvjI4u+uRj2/f9+Yb1x3lPB6NP2YJHo2C1nUpl9BOlwl5nz3jro9+63ZPX3TXGtsdrLG1KylYQBPYUTHcFBxxJW6XPQMRVIkoS0ZWU3i2SvG6RstgiRU0SYOapSu8Pm/rdDv+D97H+8Yv6EY80V+/ZeYSRstqHS6PN0JI+FCW2zFGOgBYorQIqERb0xtw7naAlUjyd0KqLpDWylIkFj5QWhURqlWxPqyoifb3TmfOstcD1TFqdIq1OAc8P0nQLdpW1C1t84rfn+M7tbR7dNV8NjDQ/Oq8576/HJyacp4vPJ38dPcL40te/RqNWXP/zB3fee8W/3Wk0CnXGGlCxgyb4AF1Xs2dKsnVS4nhdoEuScBNyb2kR11XKwKmMqnOSVdB0D1UxUuDOWPM+1jvfriEJxyeW0oitqehRUoSImttnrXrccFNE1l3Ell6IaEGqrCKTuc9sixb7Sl2Reh6nFgSL0xJya46mVsbLND5N78+194iWTs+02Mv1khQiKR5PlpdJ9bQx/PgYQaTFm3ScCnv2D7LvUIVu2HvZMDXlosdIY45CcRyn8lJf2atOQLceXLfmt542Np+2BQdw5VqmdfPRZYtHLr30jZUrHrz3blkuCmxLpsiIYLjpssCZYNvjLtt2m4HOF+V2x1MuuEwapBSTFLhDph4VPvXXuY9gvWOLnHxczLOj52T29fLy/LMe8SS2XKn9eccwZbXjB4Ieix7d5614mluLUPGI1RORdlizXbGyunnY/y8M8EhJHNWUinDNSx1fNaKU20BJCb9IuCZg1HIi+o5JYUtQ8bV1j8cj2wtMTtu0W6XMCbEtxfjBIieccI5avmTppXZ16FGYfSag+cwA/J1vPJH779/kbNhw5hev+MK2sr9y5NPCn6BasZiaCSIMgzXBupUdTj7mILc/0uFDn6vzyM5SmJ8gMwCIJMEMuEmtgiaiE5jKO0lLhvQB9GEoSAaQaZpxmH1pQGeTj/o9fvJDH2G7SIM+lVmo+2wj7UgG3CABPBHYk3YTUZahEDpLYUiinXGRg4wj8SHIo3eNGnwmMzDK/beLDo/slPzPzw3y0wdHOXV5gQ2LNY1a4GNNzSpM6bPhmHlMztb/aHX1FV/cv3eLP2/s1GcCmk9cC/1kx3HHreHxXeP+G37ttVt+7XUvmXnxKRZ2cZKWo2hUJYtHfRY0XWxL8vIXdfjYuw9x7JJ20CpU+yE2gn/aEsn6Ob3VOWQ5dgj2vo4bffaloZjn5iTWNs0msxY/a7Vz8+CpDd33Yfwk4r/EMmAqvJ8y8xkOHz4JDK1IhffJADxT0Ayko5TJKspJ1DLbTyVUR5QMiyIkUU9vKRSW7bJxp+TDn6tz4+0VOo7F3gnNrv0O07M+pYLPbHeSxw7aLF555swpZ7xqy/TUuD9vbNUzBctnDuAA5XKJ+SOT15x2+gnvbix5ycQtDzWYnPEZrCkWjbRoDkxx+8M+f/GPdY5b4fGxSw+xYqwTeKAE4LFkkKpghXy6X3V8vxK0jKU+HNjpNwFEj0XuMcx5i50+Lk9fngLiY4zmAJ0GXnRcutWZzhwrsjkppCYBueAO9AA3XeGThPvTlUFJeVtP0yCdahoU5olbps+2vZI//uwg928t8qF3THDWhgn2z3o8flAzOeNTLbq84fwi//WScyaWrjzl3bfdP3eNXThyCdrRjmeEokSjOdQAYPOOmSsXL3m5+dbXFj65a+vPRpaO7cOwDvF/fqy4/tYx3JbBBWft5dfOm+LeR+f4q6+WmdMGhhSUZbTycEJBsjJVrkiBXPUOaTBnj+1RT/rx7ejz+vBv8s/7AL0H10cAutZ9+Dv06uF9+HmspuR08kiCzVrpcMmQ4E9KFdFJ1qHQQSYhOQqkgyW8RUh9og9UIfdXIuhkK1OWG0vSduAr361x9Y/n8+KTFeeeYHD66i7fuWM/N93dZNs4rFgyxPmrz96/et2L/ie4Vy5ftOCZhGPwfZ7xdwRWLanRrHlfuuhVZ3/wolcs2j80sJfPX6u4/Kr5aGeAMzfUwVnA1KEBLjzTY8H8ILOsJDVlQ1EydEJRUjp3HJ18EtxaSN1DS/JOZ+QG5iVEkUdrjtsIkmMy+Hwm+IrufdwjH+qcdSZ5ntAWnbw2TUsiy0xOMtTJOqg9nbPCaGi2OFni+xLfM/A8A9cz45vWBjvGTa65tYpVr6D0AD+9cymGWsDvXQy/fdE4BztzeKVV+xcuO/uDM7PyS0IMPRtQfHYADlCtVimrK7+4fJn7/t2z8yZuuKvBCYssTlopWbXQRGLhuCabHzeZbdvYpkHdgoqlKVmKoqmD9YDyqyKTveUtd5yHQm4S5I5LBz4AjoTpfhY/fWz+cVqoPro2nL1g7uHYKXDH28PPS/aLmLoE20UfipIFcYZvpzh47/cLaIlWAl9LPF/iuCZdxwpuro3jWlSKklULFUVDYPqaLTsld2+q8tCWMV52vOCCcxoTB7rF93/gM9/9Yr321COVTzSeUYqSH6L2Tv7j2s99ZdZb77zu7LnPW87u2tIxk3lDHrWKQ7nY5daNJQ7MVhgsQt1WlMxAOVFaBwk4ftCksee9gaT/SrAh6V6V5ejx8akH6brKw9GTzOPwXQ4vnPSXGp9wxMpH9j0jiiBSx8Q0JEVHorXfg7SPrAQYATrRopOcleDY6LhQCownQnRMIjOKzPcNtigl8HyJ5wVLTJqGwvclhlTUqw5nHNPlWze7THcKHJh0Ke4WOF2L2sBpM+eeXHuP4+/76hsuevezCcFnF+AAUwebylP21845ec6zsb9Md2txftOj2ZjmO7dpfnTPIDXbYrikaJQURSugJa4Hc12B4wXLVgQZbjrDp9P0Ip08BU9swTPadOrgWBM/Akiz3P3wZv3JAD1vrfu9JoojZNMbdDI5SE2IiKaIrMUXIrWmfTgR4qtCyM8TvTxXxCxEDOz06h1KCzzPYK5t43gSUyqKBQOlA7Cfe8I0rzprgjsfmE/Vhq7TYmh4ZWequ/B3li9pfPPQVOeITXueifGsUZRo/JffegvHr1b+/NG139ywtnbJ+mOHOoPVGXzm+PdbGjy+p8FoVTNUVgxUBEM1wciAZLAm8bRg2hF0vaDNbqo7Xv9gjiChMvmJEGKkn1XPS4EZZzTFtXuAfyQrfpTnqa+vqVNMJPU4w811/viUpJiiGMlrE4qSWG2R5dik1JRInUmdd0MGKdGlgoOUmokpm30TBQ5OF5icKTA1W2JiusqSkQpvPLuFMNrsnlSUhpd2VGHkkmZ96Ju3/GLGP/u8Nzx7wAvH00q2erLjH/7p6/zNR0/WS451N04dGHmk46nX/NsN09YNdzYZKUuGKopGWdCoCgZrFiODNssXCrTVYuNexZxrYUrRk2gVh9Vl9Fz3auUy+zwOwef2Z5KoMhMmW+CQD+FnihlkPqEqn3SV3B+u6VAEovgYshQs3k9+sgYbE9UpnTiVuNQZZzrenrw+NgRE3yFZ7DcK65umT6XogJjj1gct7nu0Tqdr4PtGKBMGPN31LBY2QdNhbMFxrFu14u2X3VP7erU7rf7kvW/9ZUDv2aco0Wgu++88eNe/6vWn3viNK/75VHP/VPGK5c39Ddf1KVqCWlkwUDUZbFjMGxSsXtzlDS/djzANvn7LAiraIH2xJpdklbfcaeud/IhZAPVY95wd7QFQanv2wD7/8FGa8J5M2ZAvi9S+HvUwTHYSKaITMIlUd9kwfB/9j3HsMeTaQkQh+EDuU8QZsUHoPf3G4ZBCY5kO37kDPv5vRVY3XVYvUDiuFfQUF4HRcT2N6za58KyhA0uOffWh5rx1j73jtxw9MlB41nCWH780gAOsP/VtfPxv/5Ez1iz9t9Wjo9am3a2/vu5H9zcN5xDVsk29YtKsC0abLgtG5tA4zMxVwrwUHTfWJPyx0mCWMqeoiMMAOoXOjDVLvWd8n9MG4+NT46gcyqc7IpLdRw+PnEjQCRfPO6Qhn0l4eTZwFFTdBJcBkaIvUUZitP6mryQaSaMaNFzdPaFpFF2kBNO0ME0D03AZXFBG2ccdnJyb90drl//2V2a9W4Vn2Ef1Lz/d8UsFOMCH3vs7fAjYvOvQV1adZJnDQ0OfuPPWG0emp+colyQDNcW8wQ7V8jRX32Zw58YGQ7akXlAYglirjbIxZcgJ07Ql9Zv1Hb2Xd3qsfTACr0/07ghfk50s8eOnAHrdY8Ljb9CbiwKJyiFyVj38E6XQClIdsIiuRGnXNuLYYTuJnAMtZUJropRXzzewDM2L1rq8+rRJrrm5yPiUQbnoUy2ZVIqamc4AzUUv3n/MhlM+AP5XfG6jZKbXTvvljF86wKOxauEg2m/909LXnSOG6/J/XXf9jSMFq8Vww2fZgike3NHmH65rInSJxYM+BUMz5whmOjLkg+FyF2Eo34ySEvM5GemfUvS32HFGYd4BFf1lwfyEiJ70s/BPdghSKkrK+kYTNiMbhn8i+S7jjJJY5oxCkqIp+ZGE7oPnkeQnww8XIlpTSTDbsmh1TVodm/lD8NsXTvLwzkk2bm5SKyqqpS7LFw9y3Iln7x9d/OIPHprS/zQ0UH4uIAY8hwAHEEaZAxOzX1y/4TRPCPPT4zt+Oji/uZkDM5NcfVuF6ckaq+fBcE1QKRmMz/hMHvSYa5sMhL1NDAmWGQI85JJ+2Lg0+rEjwES/baYeM/oueUUkT0Vi9IkesPebBE91pCOTUccpkbLe/T8ja5Uzmngs/4W6dyw1Zl+ptcD3w+BOyN9loCliGIpioUur67F3osmByQrVsk+3a7BsAVx85hx7DlrsmamybvU8TjrtJYdOPvnE9xmG+rKQT9w/8NkczynAAYaHqnied+Xpp50y8Whp18qWU/7L937qVmvfxABr5wsWDQuaDYv5TckFC6bZPXuAP79yPmXTpC4UtgkFCywzsDauL/BVuBReONJprSJUS7IcPisF9sdp1gV9Vql37s11eoLqnDVPHROANQQoEK8IEXHtWBoM6V1YHAGB1XZ9iesFZ8A3/aDoxAqWpikVWnz6Kpv9B0yWjMD8IZtW28DXkpcev5e1S/by4PjFrvQH3r9m7YlblC5da0qL53o85wAHME1TtabuuuaEF51hf+/mHa1jj61/znjgAbFiVMnRYZvBumRs2OeElQ7zJtso30MLE9MIwF0uCop2UFwx1dLMtIOlL6TUWAbBql3hZx02d+XwyO7h1zF9STmkzyjgczQrphwiASd9rHlW69bRw9iKR+tpBq0cggody4yqdAxmWhaTsyZSaIp2IH8Wwk4Iluly3/YqB8YNpHJwXYu5tkG7W2KgNqLOO+MMva676nd//MhZ/3z/lsecc07Z8EvF0OHG8wLgAOXGqXz3lgecam3plSetUzcev0C9abBw8C8MvQvPL9CouJSLHXztI4TEkmCbwSJYtbJBvWxSrUj2T7W5Z6dPyTSp2oGFMkOLLWW/fPJUETA8aZD33/MMjMNY5zg4E3Ouw7w84tGEde1KoGRIeKKWy+EwpMa2gtWrC3abB7YOMX6wRq0iaVQEhqEpFSW+H6yVKaXHtAMzLY1puDy+r4NRWMQhd82fFmrzvrF4aMHOS0Yecozy6c8eUI5yPOuRzKMZrz57A+ectKJ97Mjspgd2XvyJV5zb/KisLvJ3TxgUCx0Otea4/JpBhLApGoqCpSkXJfWKyfCgycpFml9/2SzrVk2yd1bg+IHMFQA6Ce4kFfW9QZdo9ORVR5Mh3N9j+YXIrK+e5Ganwo7Ra3PvkclBEenXJolUPSPtDKN7vnuwOkOoOoWPfSXwVbIwrBBBRLLZmOXex1pcdZPisd1dDhzymZqTzLUNuo6B4xkoVeDSi2Zp1GeZbiuWLzJ58YuX+dPm0o+e/6ozPnHNDXKTsDe0n0/ghueRBU+PC159MQe3f8kfWvqOj7x8/IC59ZGf/ZHf+lHhU18f4N5NNerlwLksWoJyUVKrGDQbmvlDDsvH2iwYdHHdxFEyZOCERkpLBvCSrBNHmvMGzlk+v6QnMkjO+uescI9zmHdgc6+NJcHU6zOZhECUB0+/iRm9QdzeWCNV2EWWYNFXwwg6xgqgaLuMT2q2jJsUhU/RDuppSwVJ3QkSqaZaJhuWVHn/W9r8x0/HOO6EF3UvvODsT1VrzY8Y9r/ziT949sPuT2U8LwEO0Fz6dg5OzDA66P7x/KFz5cbNo2cKvis/8ObWmbc+stu876EGpaKgXDSoVQQDNY/BWgfbbuEoG0MKLKmwjYDKWGbQ1D4WVUJnM6qEjwoDfD+xngGtyeTSpZxTkXFS80pHGHIh1DMyMVigR8VJ79ZpR5AkOUqniXn4HoYIGtsTWuvIcgNoGbqdQXc1tBIIFbU/llimDB1LE0u6dHyPiTmL+qxPueRTLZu02gaG0Fx7h2ByZpX32rPkrZed/no1Om/VrTvH/T92OrPYxWcv3fXpjuctwAGaQ7Xo4Qf3b7uKf/zIybV9k4e+IIqFNx/a35IlqxtQlLJmoOYwMjjHngmHex5tMlCCkh04S6WCoGAH4PYVeH4CNyNczQHA88FDBxV0mqAWOo72adINfAyZtebpodORlXCCZKxvit5EDTYzr4c4BValLg9CJqHzuE2GEeSHgMD1AnB7XiAJmjpRSbQWgcLkBypL0RcYBhQsk+m5EievajE2PMPuiWEGK4p6y6fVMZiahcm5BqXqYuWYx1z1k02D79Sbds984NJnpij42R7Pa4Cnx8jyN7J/38Mzo0sL7znXXb2523pgg+vMvH5ucgeVkmDeYBshp/jKDWV2jVdZ3tTUioJqSVAtS0qFYDXkg5MejquQUoTUJbgcSylodxWtjk/HDS7/AaUJEqsgScKKeqCk1ZN0Zl/EvYUAoURsYdEpSpNzeuPXkbqChMfF6okIrK82ApBKCZapMQ0VvofBXNug1RFIqSnaGtMMgjaGDNaePzgTZAtWisE3MaSNbZdYPL/Eb54/xae+WWXPVIFGyWWgqmmuXYUsV69+yZnrHyjW5n9Ged2ZNSvXPNdweNLjBQNwgJF5xwIc2Lx1x4ff9p9WL92yZQuT+0dfX5V3o9jPX10l+dcfz2NBTTBU0dQrglpZUq9aDNQMhuoem3d1uGujxUBZU7SDy3SlZFIpSTzlsmWfj9MJmhYVCwIjUiAECBk08IluaeuttUahUSoo1ojiQumMQBmF/qNGP2FJXhSN9CFu2ahiAh5eaYgmW1KMYEiNbSqKBY9yyaPdUTy0rYrrmlTLwfcrFTQFW9Godbj9YZOtO2wGqgYDNSOcNBaG1BTtOm972X4Uj/OFq+fTViOcePLxnHji2qtXrlz5+3Ot1vah5qLnGgJHPV5QAI/GqhVLOHjw0PYN69e979CB0pXVwsLfu/rGe869a+ujFKXHWF0zb8AI6ElRMlA1GBtWHLN0Dqs8yXfuHKZoChoVsG1JtSKZPwSrF83SMea4+sYBhlUgk9lmAGIZgto0BYYhY1oDKcVDEXRbVTpe5iOYIMEVApL8GVOCaeiYoigl0Ap8HdAolQvKRM+lEGhDh99JY1mKWtmlXpvhx/d63HSvxcpRhdIWlmmgtaZY8BgemOa+HSbbtjVYu9BHYGOZBgKB40qkVNjmNK841WL92g04nHHTkrHqZ5YtX3Ffu+u9IMENL1CAAzSbgwCbfaU3S8EDhxx/7PIPH/f319+wddX2jQ8ZyxYo9h70UdqgUdPMG3SYN9Ri28EObVfhKQMpoWBJamVo1l2WjrVZc2CGGadO2TCp+gHnjdQWy5TYlsQwAi6eLu+KlsNzCdJEPT9wTQ1DYBPUlkZoNUJwW1ZwLwj4v98VgY/gpalK+B0AZQaXA9OIliMB01CUCi7l4hybdlts2ycYqviUCpJqSeIrgWloinaXtqPYOwXNik+x4DO/Keg4Dlt2CbQoM7zw5X5LHrv5wlMm3yUrZ+0BNvXtef4CGi9YgEcjtKSbtH58k+f5F3TmagtHLzztqr3bf1i/+kePV7qtQD5cOG+aSrGDDkpXkAIsQ1K0BdWSpl5xKBYcpPBRKsxniTIWpcAyJQU7kM4sMwCg5wXachT2NnxJu+sz11Z4fiBPWlbolBpRXomI82eKlsK2NKahcT1J15V0ncAJliHB95XGC4tSLT+IWFmmCNfSCRKhpBEkQ2k0s45gpq2Z6/h0XBMvzC+JmpJOdgSPHdTYts+axZpyw8B2l8yddvbLpmuVzhtnJlfsuvlRc/t5J72wgR2NFzzAoyHEIpTS219y1pKdMLPe9c874+KLxD/MTW7xFjXuGHpws65NztRod3209rEME9sSFAuCctGjWnYpFTp0PI0WMuUICkwpsE1JqSColqFUCCjIxHRALWwbygWoljQzbcXug4FTVy4IyiqQ8ixDB0UFIrDatqUpFRTlkqJSDJY0PzBlsGe/RaUkKRYMbEvia81sy0MpRdE2EJjYlsTz060cQGtJ2fJwPJ+ZjkG7q+k6iq5j4LoSX2lM02DdIsmiUR/Ha8ysWLth4oxTV5qHZsU7agPLbls4Wp1aAuqFbrXT43kVyXza/0zg+KmHNs0dsoqLv1erNdZc950frVyy7j9/rGu+8sHp7sp7hDmvM3+oQrmgsS1BwdJUSx7DAy0OzHT4lxsaKM/AMpPyN9MUFGxJpQSDdZ8lox2EMcXj+zq0Oh5SBOBeubDDhtXjTHgddk1KpluaVlfTdQOLHjmehgEFOwB3o+ow2pylWt3Hfdsn2bbXZ67tobWmUoKlo120nGXnfsXUrMdc26fj6FjyU1rgehJDmrz1ZS0GB2YZnxbMtRXtjk+ro5mak3hqgLHhoc5Zx82/591vPfvBP3vfb3zs2m9dt7Jara85ZvWC7y0YnD4khPiVAjf8Clnw9Fi/dgyC2EZr/75NGIbxl2D+5bzFy41Ra/3n3i7Vms6hx8+emTpgFIsOzYEumoN89UcWm3Y2qNgS2/BjpcM0Ah29UtIM1lyWjU3xkwfb3Lu1yUkrJcMDBpWST7nU5XUvnuKbt2tue6BEwQxaKNiWoBTyeSFCemIrqiWXRqXLUGOGRza2+Y9bB1k3qml3QNehUtKcuHaOfZ1pfnJfAdsIckfKJQPPk3FLNc8z6DgFVi+0eOtLJrjyewYH56oslSalcoVSbYVfGhq85VXnlTZNHGpfalnCr1VKfOCyP9XVwRWt5/r3ejbHryTA02Nk3hpIYize9PTUO089qTC4d/zAx6+7/kd2gV3+ggXq5NseWXXKt3+qUb6LITuUCyaz3QBkhhFQmUrJZ7Dm0HZmeWRXAYSBUgHXLhYUg7UOXc9jZrbL5JTDuFGgYArKhcDp1Cri/pqCpaiUHAYbc8wfmqRZ97BsjwNzgoWuwlc61K4laxY6GEWHybkC1ZKi6yh8JbBMn6LlMj1nUCoofM/gN86vUakP8fOHB34+2BB3H7t2qXHiqS9zytXmh4YWOIcajfpz/ZP8UsevPMDzo15vABwC/jvA9q1fp2Dpc9WO0ivf9Wb9xrYztfbxPR2M9jYOtabZuUshhUuloCjZinLRZ3xSc/fDNiuHA+tumZp62UXR4p+/X2ZqusRrTj/Ezx+rM9EuUS8FAFchRTENTangU690UHqaa++0WTJi8PYLpvnWTUWm2xaep+KuUS861mN4yKd1QDDb9jAO+dRKFvZil237Fd1uk+WrjmW2U6BYG37kNy72r1q9pvh929Q3vfI1Fz/Xp/w5Hf/PATw/lq54M8BNnblDNwE3O2535ZYdh9Q9tx9QQyODy/dOLPuA4e1h5SLJzPQ4ne4Mvu+glYNtKKwQ4OVih2/fCv9y/TCnrKrwjtcd4Lq7D/Hl7xbouDJIDwjLv0wz0Kar5Rb//AOL798+yjteLbjkZQdx3Elu/0UzcBC70OoI2m2PbqeL65o06gMsWjTKvGHJ4hUL2H7vjk9Mz7jbBkZfIRvGoESUt4D+3tsubjzXp/Z5Mf6fB3g0ipVBgO9Fz/eO78e27YG9e/feununzcJR5Xa8tX9QLbmvmOfO8Ue/I9ix6WHqRQfDgGJRMtOp0yxXGKsLPKfM8Uum6Mw57LcNmpWgzZnragQu5eIsljnHHRtrqI5kx+4iqxcPs3heh18UTSqVMp426Ko6w4vP4NJLavhdm0ZF/mD84NynR4ekNW/BBt51wqtuchxnsjHYfK5P4fNy/H+AH2aMzh8BmAS+DXDwwF6AjZbhzfeVp17+Yo9rJx5HudMICaZlUCt23N96wxmXGbReWx6cc5cMLOT8cwcpmpr1CyzmNy1KBcmCEY9FS/ZRsJdx2vFl/HaN446pWEat8p2p2esvsyzTKhUtEBIt6lQHT+ec04ooZchywRwHti1YMPpcn6IXxPjV0oSe43HLT3+GEGL+3r3jjeVjc1qak3zx+wNYeBwzVmRkwMQwBPOHPNYu3QcCrvx+EeGVWb+qKprDY1Na6/ETTnx+FQ28kMf/BUg30E1rh+dtAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjEwOjQ0KzAwOjAwNWfiqwAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODoxMDo0NCswMDowMEQ6WhcAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 36117139
    {'hecke_orbit_code': 13510936388174624, 'n': 1, 'trace_an': 2}
  • id: 36117140
    {'hecke_orbit_code': 13510936388174624, 'n': 2, 'trace_an': 0}
  • id: 36117141
    {'hecke_orbit_code': 13510936388174624, 'n': 3, 'trace_an': 0}
  • id: 36117142
    {'hecke_orbit_code': 13510936388174624, 'n': 4, 'trace_an': 0}
  • id: 36117143
    {'hecke_orbit_code': 13510936388174624, 'n': 5, 'trace_an': 0}
  • id: 36117144
    {'hecke_orbit_code': 13510936388174624, 'n': 6, 'trace_an': 0}
  • id: 36117145
    {'hecke_orbit_code': 13510936388174624, 'n': 7, 'trace_an': 0}
  • id: 36117146
    {'hecke_orbit_code': 13510936388174624, 'n': 8, 'trace_an': 0}
  • id: 36117147
    {'hecke_orbit_code': 13510936388174624, 'n': 9, 'trace_an': 4}
  • id: 36117148
    {'hecke_orbit_code': 13510936388174624, 'n': 10, 'trace_an': 0}
  • id: 36117149
    {'hecke_orbit_code': 13510936388174624, 'n': 11, 'trace_an': 30}
  • id: 36117150
    {'hecke_orbit_code': 13510936388174624, 'n': 12, 'trace_an': 0}
  • id: 36117151
    {'hecke_orbit_code': 13510936388174624, 'n': 13, 'trace_an': 0}
  • id: 36117152
    {'hecke_orbit_code': 13510936388174624, 'n': 14, 'trace_an': 0}
  • id: 36117153
    {'hecke_orbit_code': 13510936388174624, 'n': 15, 'trace_an': 0}
  • id: 36117154
    {'hecke_orbit_code': 13510936388174624, 'n': 16, 'trace_an': 0}
  • id: 36117155
    {'hecke_orbit_code': 13510936388174624, 'n': 17, 'trace_an': 0}
  • id: 36117156
    {'hecke_orbit_code': 13510936388174624, 'n': 18, 'trace_an': 0}
  • id: 36117157
    {'hecke_orbit_code': 13510936388174624, 'n': 19, 'trace_an': 210}
  • id: 36117158
    {'hecke_orbit_code': 13510936388174624, 'n': 20, 'trace_an': 0}
  • id: 36117159
    {'hecke_orbit_code': 13510936388174624, 'n': 21, 'trace_an': -100}
  • id: 36117160
    {'hecke_orbit_code': 13510936388174624, 'n': 22, 'trace_an': 0}
  • id: 36117161
    {'hecke_orbit_code': 13510936388174624, 'n': 23, 'trace_an': 0}
  • id: 36117162
    {'hecke_orbit_code': 13510936388174624, 'n': 24, 'trace_an': 0}
  • id: 36117163
    {'hecke_orbit_code': 13510936388174624, 'n': 25, 'trace_an': 0}
  • id: 36117164
    {'hecke_orbit_code': 13510936388174624, 'n': 26, 'trace_an': 0}
  • id: 36117165
    {'hecke_orbit_code': 13510936388174624, 'n': 27, 'trace_an': 0}
  • id: 36117166
    {'hecke_orbit_code': 13510936388174624, 'n': 28, 'trace_an': 0}
  • id: 36117167
    {'hecke_orbit_code': 13510936388174624, 'n': 29, 'trace_an': 40}
  • id: 36117168
    {'hecke_orbit_code': 13510936388174624, 'n': 30, 'trace_an': 0}
  • id: 36117169
    {'hecke_orbit_code': 13510936388174624, 'n': 31, 'trace_an': 460}
  • id: 36117170
    {'hecke_orbit_code': 13510936388174624, 'n': 32, 'trace_an': 0}
  • id: 36117171
    {'hecke_orbit_code': 13510936388174624, 'n': 33, 'trace_an': 0}
  • id: 36117172
    {'hecke_orbit_code': 13510936388174624, 'n': 34, 'trace_an': 0}
  • id: 36117173
    {'hecke_orbit_code': 13510936388174624, 'n': 35, 'trace_an': 0}
  • id: 36117174
    {'hecke_orbit_code': 13510936388174624, 'n': 36, 'trace_an': 0}
  • id: 36117175
    {'hecke_orbit_code': 13510936388174624, 'n': 37, 'trace_an': 0}
  • id: 36117176
    {'hecke_orbit_code': 13510936388174624, 'n': 38, 'trace_an': 0}
  • id: 36117177
    {'hecke_orbit_code': 13510936388174624, 'n': 39, 'trace_an': -80}
  • id: 36117178
    {'hecke_orbit_code': 13510936388174624, 'n': 40, 'trace_an': 0}
  • id: 36117179
    {'hecke_orbit_code': 13510936388174624, 'n': 41, 'trace_an': -390}
  • id: 36117180
    {'hecke_orbit_code': 13510936388174624, 'n': 42, 'trace_an': 0}
  • id: 36117181
    {'hecke_orbit_code': 13510936388174624, 'n': 43, 'trace_an': 0}
  • id: 36117182
    {'hecke_orbit_code': 13510936388174624, 'n': 44, 'trace_an': 0}
  • id: 36117183
    {'hecke_orbit_code': 13510936388174624, 'n': 45, 'trace_an': 0}
  • id: 36117184
    {'hecke_orbit_code': 13510936388174624, 'n': 46, 'trace_an': 0}
  • id: 36117185
    {'hecke_orbit_code': 13510936388174624, 'n': 47, 'trace_an': 0}
  • id: 36117186
    {'hecke_orbit_code': 13510936388174624, 'n': 48, 'trace_an': 0}
  • id: 36117187
    {'hecke_orbit_code': 13510936388174624, 'n': 49, 'trace_an': 486}
  • id: 36117188
    {'hecke_orbit_code': 13510936388174624, 'n': 50, 'trace_an': 0}
  • id: 36117189
    {'hecke_orbit_code': 13510936388174624, 'n': 51, 'trace_an': -210}
  • id: 36117190
    {'hecke_orbit_code': 13510936388174624, 'n': 52, 'trace_an': 0}
  • id: 36117191
    {'hecke_orbit_code': 13510936388174624, 'n': 53, 'trace_an': 0}
  • id: 36117192
    {'hecke_orbit_code': 13510936388174624, 'n': 54, 'trace_an': 0}
  • id: 36117193
    {'hecke_orbit_code': 13510936388174624, 'n': 55, 'trace_an': 0}
  • id: 36117194
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  • id: 36117392
    {'hecke_orbit_code': 13510936388174624, 'n': 971, 'trace_an': 34350}
  • id: 36117393
    {'hecke_orbit_code': 13510936388174624, 'n': 977, 'trace_an': 0}
  • id: 36117394
    {'hecke_orbit_code': 13510936388174624, 'n': 983, 'trace_an': 0}
  • id: 36117395
    {'hecke_orbit_code': 13510936388174624, 'n': 991, 'trace_an': 17980}
  • id: 36117396
    {'hecke_orbit_code': 13510936388174624, 'n': 997, 'trace_an': 0}