Embedded newform data - 3240.2.q.bg.1081.1

Formats: - HTML - YAML - JSON - 2025-10-05T17:32:42.656128

• 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': 12960, 'analytic_conductor': 25.871530254894843, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [3240, 3, [2431, 1621, 3161, 1297], [3, 3, 1, 3]], 'cm_discs': [], 'conrey_index': 1081, 'dim': 8, 'field_disc': 3887771904, 'field_disc_factorization': [[2, 8], [3, 4], [433, 2]], 'field_poly': [576, 0, 672, 0, 217, 0, 26, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [324, 756, 1458, 786, 391, 50, 21, 2, 1]], [11, [11664, 15552, 16956, 5904, 1909, 148, 51, 4, 1]], [17, [-72, -120, -38, 2, 1]]], 'hecke_orbit': 33, 'hecke_orbit_code': 144116287621041320, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 9, 'hecke_ring_index_factorization': [[3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 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': '3240.2.q.bg', 'level': 3240, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '3240.2.a.t', 'nf_label': '8.0.3887771904.9', 'prim_orbit_index': 3, 'qexp_display': 'q-\\beta _{1}q^{5}+(\\beta _{1}-\\beta _{2}-\\beta _{4}+\\beta _{5}-\\beta _{7})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3240.2.q', 'trace_display': [0, 0, -4, -2], 'trace_hash': 2073358224902559771, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.630', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '226.396', 'prec': 24}, {'__RealLiteral__': 0, 'data': '65.843', 'prec': 20}, {'__RealLiteral__': 0, 'data': '12358.554', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, 'traces': [8, 0, 0, 0, -4, 0, -2, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -10, 0, -4, 0, 0, 0, 4, 0, -14, 0, 0, 0, 4, 0, 28, 0, 0, 0, -4, 0, -22, 0, 0, 0, 0, 0, -10, 0, 0, 0, -16, 0, 8, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -24, 0, 0, 0, 56, 0, 4, 0, 0, 0, 30, 0, -16, 0, 0, 0, -6, 0, 2, 0, 0, 0, -16, 0, 60, 0, 0, 0, 0, 0, 10, 0, 0, 0, 8, 0, 4, 0, 0, 0, -32, 0, 44, 0, 0, 0, 18, 0, -10, 0, 0, 0, -16, 0, -42, 0, 0, 0, 8, 0, 36, 0, 0, 0, -12, 0, -50, 0, 0, 0, 20, 0, -20, 0, 0, 0, 48, 0, -8, 0, 0, 0, 44, 0, 10, 0, 0, 0, -14, 0, 10, 0, 0, 0, -40, 0, 36, 0, 0, 0, -18, 0, -26, 0, 0, 0, 26, 0, -2, 0, 0, 0, -8, 0, 28, 0, 0, 0, -14, 0, -42, 0, 0, 0, -56, 0, -26, 0, 0, 0, -68, 0, 48, 0, 0, 0, -6, 0, -4, 0, 0, 0, 52, 0, 12, 0, 0, 0, 44, 0, -36, 0, 0, 0, -60, 0, 8, 0, 0, 0, 38, 0, -40, 0, 0, 0, -36, 0, 0, 0, 0, 0, -48, 0, -30, 0, 0, 0, -10, 0, -48, 0, 0, 0, 96, 0, 72, 0, 0, 0, 52, 0, 36, 0, 0, 0, -30, 0, 8, 0, 0, 0, -96, 0, -40, 0, 0, 0, -4, 0, 2, 0, 0, 0, -24, 0, -12, 0, 0, 0, -40, 0, 24, 0, 0, 0, 36, 0, 0, 0, 0, 0, 24, 0, 8, 0, 0, 0, 8, 0, 108, 0, 0, 0, -56, 0, 20, 0, 0, 0, 60, 0, 74, 0, 0, 0, -4, 0, 0, 0, 0, 0, 16, 0, -6, 0, 0, 0, -24, 0, 0, 0, 0, 0, 80, 0, -88, 0, 0, 0, 18, 0, -42, 0, 0, 0, -22, 0, -28, 0, 0, 0, 64, 0, 48, 0, 0, 0, -2, 0, -16, 0, 0, 0, -76, 0, 6, 0, 0, 0, -72, 0, -100, 0, 0, 0, -26, 0, 30, 0, 0, 0, -12, 0, 4, 0, 0, 0, 32, 0, -128, 0, 0, 0, 4, 0, 24, 0, 0, 0, -10, 0, -18, 0, 0, 0, -24, 0, 12, 0, 0, 0, 52, 0, 38, 0, 0, 0, 2, 0, 36, 0, 0, 0, 232, 0, 16, 0, 0, 0, 50, 0, 26, 0, 0, 0, 50, 0, 8, 0, 0, 0, 16, 0, -180, 0, 0, 0, -30, 0, -6, 0, 0, 0, -60, 0, 12, 0, 0, 0, -44, 0, 56, 0, 0, 0, -6, 0, 0, 0, 0, 0, -32, 0, 96, 0, 0, 0, -20, 0, 16, 0, 0, 0, -8, 0, 78, 0, 0, 0, 30, 0, 0, 0, 0, 0, -40, 0, -16, 0, 0, 0, 40, 0, -68, 0, 0, 0, 4, 0, 58, 0, 0, 0, 80, 0, 80, 0, 0, 0, 6, 0, 42, 0, 0, 0, 114, 0, 16, 0, 0, 0, -128, 0, -52, 0, 0, 0, -22, 0, 4, 0, 0, 0, -52, 0, -32, 0, 0, 0, -52, 0, -168, 0, 0, 0, 34, 0, 18, 0, 0, 0, 56, 0, 22, 0, 0, 0, 20, 0, -60, 0, 0, 0, -36, 0, 114, 0, 0, 0, 50, 0, 50, 0, 0, 0, -40, 0, 32, 0, 0, 0, 12, 0, -8, 0, 0, 0, -42, 0, -14, 0, 0, 0, -96, 0, -144, 0, 0, 0, 64, 0, 10, 0, 0, 0, -50, 0, -4, 0, 0, 0, -96, 0, 108, 0, 0, 0, -18, 0, 132, 0, 0, 0, -12, 0, 46, 0, 0, 0, 0, 0, 12, 0, 0, 0, -64, 0, -12, 0, 0, 0, 92, 0, -38, 0, 0, 0, 100, 0, -72, 0, 0, 0, -128, 0, -48, 0, 0, 0, 62, 0, -4, 0, 0, 0, -80, 0, -40, 0, 0, 0, 0, 0, 74, 0, 0, 0, -20, 0, 142, 0, 0, 0, 152, 0, -196, 0, 0, 0, 134, 0, -36, 0, 0, 0, -60, 0, -24, 0, 0, 0, 0, 0, -140, 0, 0, 0, 4, 0, -72, 0, 0, 0, 16, 0, -12, 0, 0, 0, -232, 0, -36, 0, 0, 0, -10, 0, 44, 0, 0, 0, -64, 0, 44, 0, 0, 0, -20, 0, -176, 0, 0, 0, -84, 0, -10, 0, 0, 0, 6, 0, 6, 0, 0, 0, -28, 0, 28, 0, 0, 0, -4, 0, -38, 0, 0, 0, 10, 0, -38, 0, 0, 0, 168, 0, 168, 0, 0, 0, -48, 0, 116, 0, 0, 0, 6, 0, 20, 0, 0, 0, -48, 0, -76, 0, 0, 0, -18, 0, 98, 0, 0, 0, -48, 0, 20, 0, 0, 0, -208, 0, -108, 0, 0, 0, 126, 0, -18, 0, 0, 0, 44, 0, 6, 0, 0, 0, 52, 0, 232, 0, 0, 0, -84, 0, 6, 0, 0, 0, 36, 0, 142, 0, 0, 0, 232, 0, -52, 0, 0, 0, -4, 0, 72, 0, 0, 0, -2, 0, -16, 0, 0, 0, 192, 0, -76, 0, 0, 0, 12, 0, -94, 0, 0, 0, -52, 0, 4, 0, 0, 0, -80, 0, 64, 0, 0, 0, -14, 0, 32, 0, 0, 0, -76, 0, 90, 0, 0, 0, -88, 0, -84, 0, 0, 0, 108, 0, -14, 0, 0, 0, 24, 0, 46, 0, 0, 0, 84, 0, -184, 0, 0, 0, 0, 0, -8, 0, 0, 0, 80, 0, -108, 0, 0, 0, 64, 0, 112, 0, 0, 0, 84, 0, 50, 0, 0, 0, -26, 0, 2, 0, 0, 0, 8, 0, -36, 0, 0, 0, -24, 0, 74, 0, 0, 0, 50, 0, 34, 0, 0, 0, 208, 0, 36, 0, 0, 0, -24, 0, 6, 0, 0, 0, -144, 0, 18, 0, 0, 0, 104, 0, 192, 0, 0, 0, -48, 0, -6, 0, 0, 0, -48, 0, -18, 0, 0, 0, 8, 0, 24, 0, 0, 0, -20, 0, -24, 0, 0, 0, -48, 0, 32, 0, 0, 0, -240, 0, -104, 0, 0, 0, -100, 0, 10, 0, 0, 0, 12, 0, -6, 0, 0, 0, 64, 0, 32, 0, 0, 0, 94, 0, 54, 0, 0, 0, 22, 0, -22, 0, 0, 0, -24, 0, -52, 0, 0, 0, 18, 0, -102, 0, 0, 0, 96, 0, -22, 0, 0, 0, 120, 0, -212, 0, 0, 0, -56, 0, -60, 0, 0, 0, 40, 0, -150, 0, 0, 0, -16, 0, 72, 0, 0, 0, 0, 0, 10, 0, 0, 0, -48, 0, -24, 0, 0, 0, 192, 0, -76, 0, 0, 0, 172, 0, 32, 0, 0, 0, -40, 0, -98, 0, 0, 0, -256, 0, -88, 0, 0, 0, 36, 0, 4, 0, 0, 0, 42, 0, 18, 0, 0, 0, -136, 0, 112, 0, 0, 0, 0, 0, 52, 0, 0, 0, 4, 0, 134, 0, 0, 0, -68, 0, 276, 0, 0, 0, -106, 0, -48, 0, 0, 0, -36, 0, -48, 0, 0, 0, 60, 0, -36, 0, 0, 0, 36, 0, -162, 0, 0, 0, 50, 0, 46, 0, 0, 0, -28, 0, 20, 0, 0, 0, 32, 0, -2, 0, 0, 0, -48, 0, 86, 0, 0, 0, 152, 0, -132, 0, 0, 0, 66, 0, -28, 0, 0, 0, -20, 0, -48, 0, 0, 0, -56, 0, -48, 0, 0, 0, -36, 0, -82, 0, 0, 0, -12, 0, -104, 0, 0, 0, 44, 0, 36, 0, 0, 0, 8, 0, 52, 0, 0, 0, 48, 0, 128, 0, 0, 0, -72, 0, 24, 0, 0, 0, -44, 0, -36, 0, 0, 0, 140, 0, -144, 0, 0, 0, -96, 0, 60, 0, 0, 0, -152, 0, 4, 0, 0, 0, 8, 0, -168, 0, 0, 0, -72, 0, 252, 0, 0, 0, -62, 0, -6, 0, 0, 0, -28, 0, 48, 0, 0, 0, -296, 0, 168, 0, 0, 0, 20, 0, 0, 0, 0, 0, -104, 0, -142, 0, 0, 0, -220, 0, 104, 0, 0, 0, 12, 0, -4, 0, 0, 0, 176, 0, -26, 0, 0, 0, -4, 0, 196, 0, 0, 0, -36, 0, 0, 0, 0, 0, 38, 0, -6, 0, 0, 0, 24, 0, 48, 0, 0, 0, -20, 0, 84, 0, 0, 0, -12, 0, 12, 0, 0, 0, 176, 0, -24, 0, 0, 0, 34, 0, -158, 0, 0, 0, -120, 0, 20, 0, 0, 0, 72, 0, 284, 0, 0, 0, -12, 0, -10, 0, 0, 0, 36, 0, 82, 0, 0, 0, -52, 0, -32, 0, 0, 0, 6, 0, 36, 0, 0, 0, -144, 0, -116, 0, 0, 0, 0, 0, 12, 0, 0, 0, 60, 0, -136, 0, 0, 0, 102, 0, -24, 0, 0, 0, -28, 0, -48, 0, 0, 0, 64, 0, 0, 0, 0, 0, 8, 0, -44, 0, 0, 0, 264, 0, 140, 0, 0, 0, -102, 0, -58, 0, 0, 0, 182, 0, -4, 0, 0, 0, 488, 0, -276, 0, 0, 0, -54, 0, -6, 0, 0, 0, -8, 0, 146, 0, 0, 0, -240, 0, 256, 0, 0, 0, -116, 0, -56, 0, 0, 0, -108, 0, -84, 0, 0, 0, -40, 0, 236, 0, 0, 0, 144, 0, -36, 0, 0, 0, -102, 0, -32, 0, 0, 0, -324, 0, -120, 0, 0, 0, 0, 0, -240, 0, 0, 0, 74, 0, 10, 0, 0, 0, -120, 0, 240, 0, 0, 0, 2, 0, -36, 0, 0, 0, 64, 0, 2, 0, 0, 0, -216, 0, 36, 0, 0, 0, 0, 0, 24, 0, 0, 0, -32, 0, -144, 0, 0, 0, 88, 0, 64, 0, 0, 0, 54, 0, 16, 0, 0, 0, 112, 0, -54, 0, 0, 0, 12, 0, -12, 0, 0, 0, -76, 0, 158, 0, 0, 0, -26, 0, 38, 0, 0, 0, 96, 0, 48, 0, 0, 0, 44, 0, -96, 0, 0, 0, 0, 0, -82, 0, 0, 0, -96, 0, -64, 0, 0, 0, 82, 0, 20, 0, 0, 0, -78, 0, -40, 0, 0, 0, 136, 0, 36, 0, 0, 0, 44, 0, 22, 0, 0, 0, -4, 0, -120, 0, 0, 0, 372, 0, -300, 0, 0, 0, 34, 0, 18, 0, 0, 0, 20, 0, 86, 0, 0, 0, 84, 0, -56, 0, 0, 0, 8, 0, -76, 0, 0, 0, -142, 0, -118, 0, 0, 0, 124, 0, 44, 0, 0, 0, 56, 0, 72, 0, 0, 0, -28, 0, 28, 0, 0, 0, -120, 0, -124, 0, 0, 0, 84, 0, -34, 0, 0, 0, 14, 0, -32, 0, 0, 0, -24, 0, 220, 0, 0, 0, -24, 0, -192, 0, 0, 0, -60, 0, -178, 0, 0, 0, 80, 0, 232, 0, 0, 0, 36, 0, -2, 0, 0, 0, 0, 0, 72, 0, 0, 0, 32, 0, -148, 0, 0, 0, -60, 0, -102, 0, 0, 0, -58, 0, -172, 0, 0, 0, 52, 0, 152, 0, 0, 0, -140, 0, -24, 0, 0, 0, 6, 0, 2, 0, 0, 0, -32, 0, 36, 0, 0, 0, 16, 0, 70, 0, 0, 0, -66, 0, 36, 0, 0, 0, -280, 0, 32, 0, 0, 0, 50, 0, 8, 0, 0, 0, 28, 0, 28, 0, 0, 0, -8, 0, -72, 0, 0, 0, 162, 0, -26, 0, 0, 0, 152, 0, -48, 0, 0, 0, -60, 0, 380, 0, 0, 0, 32, 0, 66, 0, 0, 0, 72, 0, 202, 0, 0, 0, 376, 0, 24, 0, 0, 0, -104, 0, -34, 0, 0, 0, 4, 0, 52, 0, 0, 0, 0, 0, 240, 0, 0, 0, -122, 0, -90, 0, 0, 0, -90, 0, -16, 0, 0, 0, 48, 0, 64, 0, 0, 0, 64, 0, -72, 0, 0, 0, 64, 0, 68, 0, 0, 0, 208, 0, -140, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.22360679774997896, 0.3872983346207417], [0.0, 0.0], [-0.7372484069362447, -1.276951698612791], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9188852807613487, 1.5915559926058485], [0.0, 0.0], [0.2808089941409075, -0.4863754450743629], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5971209425250039, 0.0], [0.0, 0.0], [0.7658360941669528, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.08662720167150843, 0.15004271461256818], [0.0, 0.0], [-0.1, -0.17320508075688773], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.24429092538709285, -0.4231242945984625], [0.0, 0.0], [-0.164419577571217, 0.2847830621123601], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6594150216851482, 0.0], [0.0, 0.0], [0.9186438173138931, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5197491096030454, 0.9002318650211597], [0.0, 0.0], [-0.8427066273534942, -1.4596106944512646], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.012179155951516528, -0.0210949169013315], [0.0, 0.0], 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• mf_newspaces •

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

  
  {'Nk2': 12960, 'analytic_conductor': 25.871530254894843, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [3240, 3, [2431, 1621, 3161, 1297], [3, 3, 1, 3]], 'conrey_index': 1081, 'cusp_dim': 1200, 'dim': 96, 'eis_dim': 192, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17], 'hecke_orbit_code': 1099545185448, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 8, 8], 'label': '3240.2.q', 'level': 3240, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 1392, 'mf_new_dim': 96, 'num_forms': 34, 'prim_orbit_index': 3, 'relative_dim': 48, 'sturm_bound': 1296, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, -360, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, -552, 0, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 132, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 48800629
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1081, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144116287621041320, 'source_is_minimal': False, 'source_label': '3240.2.q.bg.1081.1', 'source_level': 3240, 'target_conrey_index': 1081, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 144116287621041320, 'target_is_minimal': False, 'target_label': '3240.2.q.bg.1081.1', 'target_level': 3240, 'twist_class_label': '3240.2.a.t.1.4', 'twist_class_level': 3240, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48800630
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1081, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144116287621041320, 'source_is_minimal': False, 'source_label': '3240.2.q.bg.1081.1', 'source_level': 3240, 'target_conrey_index': 1081, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148619887248411816, 'target_is_minimal': False, 'target_label': '3240.2.q.bh.1081.1', 'target_level': 3240, 'twist_class_label': '3240.2.a.t.1.4', 'twist_class_level': 3240, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48800631
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1081, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144116287621041320, 'source_is_minimal': False, 'source_label': '3240.2.q.bg.1081.1', 'source_level': 3240, 'target_conrey_index': 2161, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 148619887248411816, 'target_is_minimal': False, 'target_label': '3240.2.q.bh.2161.1', 'target_level': 3240, 'twist_class_label': '3240.2.a.t.1.4', 'twist_class_level': 3240, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48800632
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1081, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144116287621041320, 'source_is_minimal': False, 'source_label': '3240.2.q.bg.1081.1', 'source_level': 3240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 94575592208338088, 'target_is_minimal': True, 'target_label': '3240.2.a.v.1.4', 'target_level': 3240, 'twist_class_label': '3240.2.a.t.1.4', 'twist_class_level': 3240, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48800633
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1081, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144116287621041320, 'source_is_minimal': False, 'source_label': '3240.2.q.bg.1081.1', 'source_level': 3240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 85568392953597096, 'target_is_minimal': True, 'target_label': '3240.2.a.t.1.4', 'target_level': 3240, 'twist_class_label': '3240.2.a.t.1.4', 'twist_class_level': 3240, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48800634
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1081, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144116287621041320, 'source_is_minimal': False, 'source_label': '3240.2.q.bg.1081.1', 'source_level': 3240, 'target_conrey_index': 2161, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 144116287621041320, 'target_is_minimal': False, 'target_label': '3240.2.q.bg.2161.1', 'target_level': 3240, 'twist_class_label': '3240.2.a.t.1.4', 'twist_class_level': 3240, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48800635
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1081, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144116287621041320, 'source_is_minimal': False, 'source_label': '3240.2.q.bg.1081.1', 'source_level': 3240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 225179981402085712, 'target_is_minimal': False, 'target_label': '6480.2.a.by.1.1', 'target_level': 6480, 'twist_class_label': '3240.2.a.t.1.4', 'twist_class_level': 3240, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 48800636
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1081, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 144116287621041320, 'source_is_minimal': False, 'source_label': '3240.2.q.bg.1081.1', 'source_level': 3240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 234187180656826704, 'target_is_minimal': False, 'target_label': '6480.2.a.ca.1.1', 'target_level': 6480, 'twist_class_label': '3240.2.a.t.1.4', 'twist_class_level': 3240, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3077875
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 144116287621041320, 'p': 2}
  • id: 3077876
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 144116287621041320, 'p': 3}
  • id: 3077877
    {'charpoly_factorization': [[[1, 1, 1], 4]], 'hecke_orbit_code': 144116287621041320, 'p': 5}
  • id: 3077878
    {'charpoly_factorization': [[[324, 756, 1458, 786, 391, 50, 21, 2, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 7}
  • id: 3077879
    {'charpoly_factorization': [[[11664, 15552, 16956, 5904, 1909, 148, 51, 4, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 11}
  • id: 3077880
    {'charpoly_factorization': [[[46656, -7776, 9720, 1404, 1305, 72, 39, 0, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 13}
  • id: 3077881
    {'charpoly_factorization': [[[-72, -120, -38, 2, 1], 2]], 'hecke_orbit_code': 144116287621041320, 'p': 17}
  • id: 3077882
    {'charpoly_factorization': [[[433, 0, -50, 0, 1], 2]], 'hecke_orbit_code': 144116287621041320, 'p': 19}
  • id: 3077883
    {'charpoly_factorization': [[[144, 0, 300, 240, 637, 250, 75, 10, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 23}
  • id: 3077884
    {'charpoly_factorization': [[[2304, 4608, 6960, 4128, 1873, 380, 63, -4, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 29}
  • id: 3077885
    {'charpoly_factorization': [[[576, 2016, 5592, 4452, 2521, 686, 135, 14, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 31}
  • id: 3077886
    {'charpoly_factorization': [[[-1152, 480, -2, -14, 1], 2]], 'hecke_orbit_code': 144116287621041320, 'p': 37}
  • id: 3077887
    {'charpoly_factorization': [[[4761, -47196, 476274, 82896, 17551, 880, 138, 4, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 41}
  • id: 3077888
    {'charpoly_factorization': [[[45805824, 7959168, 1856736, 215472, 37540, 3892, 414, 22, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 43}
  • id: 3077889
    {'charpoly_factorization': [[[5476, 34188, 205082, 52206, 12843, 924, 113, 0, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 47}
  • id: 3077890
    {'charpoly_factorization': [[[-498, -1206, -137, 8, 1], 2]], 'hecke_orbit_code': 144116287621041320, 'p': 53}
  • id: 3077891
    {'charpoly_factorization': [[[9, 0, 3, 0, 1], 2]], 'hecke_orbit_code': 144116287621041320, 'p': 59}
  • id: 3077892
    {'charpoly_factorization': [[[1327104, 1105920, 746496, 155136, 28096, 1312, 168, 4, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 61}
  • id: 3077893
    {'charpoly_factorization': [[[358875136, 61833216, 10729472, 896256, 97296, 6624, 572, 24, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 67}
  • id: 3077894
    {'charpoly_factorization': [[[-16428, 2220, 121, -28, 1], 2]], 'hecke_orbit_code': 144116287621041320, 'p': 71}
  • id: 3077895
    {'charpoly_factorization': [[[-552, 456, -86, -2, 1], 2]], 'hecke_orbit_code': 144116287621041320, 'p': 73}
  • id: 3077896
    {'charpoly_factorization': [[[16, 32, 60, 8, 1], 2]], 'hecke_orbit_code': 144116287621041320, 'p': 79}
  • id: 3077897
    {'charpoly_factorization': [[[5184, 36288, 248400, 40176, 9180, 540, 114, 6, 1], 1]], 'hecke_orbit_code': 144116287621041320, 'p': 83}
  • id: 3077898
    {'charpoly_factorization': [[[11344, -664, -267, 8, 1], 2]], 'hecke_orbit_code': 144116287621041320, 'p': 89}
  • id: 3077899
    {'charpoly_factorization': [[[1024, -4096, 12736, -15232, 14308, 884, 214, -10, 1], 1]], 'hecke_orbit_code': 144116287621041320, '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': 17, 'hecke_orbit': 33, 'label': '3240.2.q.bg', 'level': 3240, 'portrait': 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Vy4McZXhlgL4jRgsSMZjHwCTyCMZm5Ks24yZakT0hkIhonPcl+wcVKz2NYcO6uo+QEbZ2DrXMSG2SHrZ0dsnB2xdYPhgo2Ky7f51FWTw8cm+NrTAY/uS3jyaEyqunz7S9u87RZDXc2y7+gUh095nDyXciYD94EFww1XzvPL71pm27pJTp2b4txyjcW2z1JbstxN6fZSekPBviML7D/evvyJfededvj46QuPnDz7hZte893Rfbd/7PmGxDd0+wfN4EvLbaLIoBS/ee9jB2/5xd/7mHznLQdu+bdvO+XNL29gqT3BYrvBYjtgse2x2IaldspSO2ZxJeXMChxcFMytW+HXfnCRF13a4PjZGU6da3JqwePsouHMQsKJ+ZRz3YSpmSEvubrHiy+DQNYJVcjZpRqnFzzOLAn6I0gSTS3QNGsp05MJGjh6JqHTg+0bfJr1EcYIEAG9geaCjSMWVzwwVoqs9GCUgMGw1I7Yst6nO1AIZRB6xETN54JNQ1b6gqOnPFLtMTshadUEoQ9JIuiPJGeWJKcXDWeXE8JwCH7CTVf0uOVKwdxEncXlCY6fDTm1AGcXEs4uJZxcgoOLhhdescCv/+AyG6cmOHZmhjOLdeaXAxbakqWVlOVOzHInZamrWehKjndgZanD7/5fw+T7X1f/qj/7E9pvXPFVgf5Fg09Ym3i+oXLe2z9YBn//Bz/GS266np/92Z/9jb/5uy//X+/7my9d/MzR9oUHTvXlS67qc9HmlFR7GKMwxrI3RgISEAhh8IQhkHBqsc6DByRX71zism1DGjXwPUngK4LAo1mXNHxJv+ez90iNOx8NOHpuRCeJ2Xt8xIbZJd78kmWuvrjLCy9rc2QhYaEvaIRDDp0ytDtNrrpIsjJM2X1E0Wp4PHMULtlsGEYpwzTA82KmW7DneIjyUnyZ4PkwGEledFmfQV9y9cUpnUHK0VMtdmxUNBsRKyPD+qk+y70OH/kyPH445cnDQ7ZvXuSaXR2mZyLeeFOX7365YefGFmk8xeGTkxw84XP8jObEuZgT51IOnhMcW4l5waXz/NoPdtkwNcXxMzOcXWwwvxKw2JYst1Pa3ZiVXspyz7DUE5ztK5Y7CTdctsBPfee8rHlcePbU8R2DQXJjfWJHvd6Y/uLjD36SP37v3zzfkFnz9g+Swf/mIx/n+qu3qS/eu+8/Hj565pcee/qoOrMUMT9UnO4brt5+lt/5yXmu3dng7OI0i+0GS+0aS22fpY7HcheW2ynLnYSlbsJCG44vC7z6kJuvXOJ7Xh6xY32Tld4E55bqzC8FLLQFS20rEZa7ms5A0xkZ+sOE2YmYCzZoQBD6hhPnfIQM2b5esWOzYfP6PmeXRzyxv8X1lxga9WWePjBDqxkRRT6z05rBEC6/YMiHvjzFrm0Jo5Fh3aQkTge0aiHPHBlS95tce2nCk4cizi4GbJkN2bEJLtgYoVTMiQUIfIMQhu0bEqZbku4gpNf36fR9ljqKpRVYbGuW2ikL7ZQzbVgcplywpcf3vGKBmy/zqPkTnF6YYGG5xsKKx1JHsNzWrHRjlrspKz3DYg/OdBVnVxJetOsM7/7JRS7Z0mSxPcFyu0ZvNIlX35mGjY2/0R5d8ut170T6sld95/MNnVW3f1AA37dvH7VarX7q1MkLHn/i6XcePHzqP+3ef5xRLOkNYWVgGeVUN+GFF53hv/7kEtdcVOfc8jSLKw2WOzWWOj7LHY/lDrS7mpVuwnI3YaljONsWnOoZED3e9tI2b3yR5qJNNaKowXK7xkovoN1VLPcE3b5gODJEiSFNQUlD6EM9NExNGNbPxHj+kIOnI546EKKTJq+/McLzV3hk9yQXboLPP5jw0qtCzrUH1DxFksbMTEMS+3h+wuJig5dc1+Hz97fYsQke3j/Cp8HrXqRJxICnDqYcPlHDkwEbpj2mm4J6KAgCgRKQaIhiwzCCbt+w0tN0+5qVvmaxZxikKdu39nnji9u87ZYIdIvFlUnOLdWt3u54LLdhpZvS7iWsZOBe6sPpjmK+k/LCS8/y7p88xxXb68wvT7HSbdDuhXR7HitdQdDYSljf+B82bbvsb7dt23psOBwOLrnk0ucbSsXtHwzAjxw6wNzcXLD/wIEf3n9g/x89+ugTYmGpKwcjTW+g6Q4N3QGsDCTnBpLT3ZgXXXyO3/6xRa67uMbCyhSLK02WOyEr3YDlrj0B7a6h3UtZ6Sa0e5rlnuFcV3C6rZme6vNtL+xy02UJ2zcoJuo+nW6N0JeAIkokWgu0gf4QEJrp1pD9Jw3aRNzxcJNRv87FWwJuvrpPrFe4+9Eprr3EZ/+ZHu3lCV58dZ8vPhKyYcaw+6jhX7y1w+4jIRtmJHc+qrj5csVSv8Oh4zNce2nE3U8NSEYNbroiYOe2IYOkx+2PKEgFB094TDQ8PAH9gUQbQaoNcQJIjRdo2j1DsxWzbdOIWy7v823XJ8w2a5xdmmRxpc5yxx6b5Y6g3YN2N6HdS2j3Utp9w1JfcqYrWOgm3Lhrnt/4sXmu2VFjfmWSlW6DTi+k0/fp9j26fUWnL4jSmr7k0qvNRTt3/vRFF138gYWF+ejSS/9hgPwfBMDTOJZRNHjzww/cdvFKJ3n3gw894kcxjCLoDxP6w5TeUNMbGroDQXsgODeQnGon3HT5OX7zx+a5fmfASmeS+eUW7V6NlW7ASs+j3VW0+9DtGTr9hE4vpTfQtPuG+Z5gvgdxOuKaSwZsnEnp9Q1vePGICzdqklTiSUMUw11P1Dh2rsam6YSnD9ZAN7hsq+K6XZqw1ueR/X3mF5pceWGTiall7n/S54ZLaiz2V1henmDjRsODuxU/8KoeD+322LreZ6HXZnlphusu73P/0ykz9SmuvLjHuXabB5+dou41eeEuw6UXDEH2eOKwYP1MzNn5mLuf8BnGCikh1YYLN0V824sjuj3F5mnNdZdAFDVYajdYaoes9Hw6fUW7J+n0oNNP6fRSuv2UTl+z0jcsDSQnO4L2YMTNl87z6z+6zAsvsRdHu1un0w/p9n26Awvu3lDSHQh6/ZTBKOHaa2+Ik1T93Du+680Hms36Z/3A1883tp73TOZo1CdKBj944sjDvzN/Zt/M6TPLTDQlg5ENFI1RmOK3rQUohEFKg5QeD+3bwC++z+OtNy/xva9aYseWiDOLE4RBnXoY0Ah9mnWPbl3SGvhMNj17wQxSNow0g5GhOwxZmq9x4rghSjQnzySEoQEEgTJ4UtAfKAQ+Sd/jBRcKdm42XLClzyjtcttDij0Hpnnt9SHXXb7MB28zBKLBhVv6PHm/YsuUYt1En5qqE8U+57rQrHls3SB4fE/EdZfWefm1C/z5rQMCv8VrbjT4YZ8vPRjx+QeaPHu4zkWbG1y4KWVuOmLHupirLkxRSuMpAxgaYcjcVEgU+3T7AU/v922JwsACsTeA3tDQ69vv3h2k9AaGzsCwMoD5vuLssqEx2eZnXj/Pd9484pqLmpxemKDdq9EtwK3o5f/mUDAYWQKIYrj73gf9Rmvmd+bWb1h6xctv/Ledbv/PJ1qN5xVfzyvA41EPBD966uj9v3loz5dmRv0e9TDAIBEI7AKjQNhnQoAUtpNGSYOSKYGUPLl/jsf2Ndl/6hxvvaXHLVcMmWpNsNRu0OzUmBgE9PqePTlDyWDo0R95DEeGYaSJYkMcG5LU3qMkwGiQSuB7glogmGoJpluwcZ1m64Y+66bbfOERuOcxH6knee31Pi+4rMt9z8ZEwwlufoGgPRhwbrHJTZdq1k31qXshw0Qx34lRWvCCSz0arRGP7q3xsusmefE1XR7dq8BMcv0VAT/y7Ut88fGIOx9qsvtYjQvmFBtn6ky3Gky2oB6C7xmUBG1g92FBmgriRBAlMIqx33GUMhhphiNNf6jpjzS9AXRGMN+TnOvCSA959bVLvPmWNt//Gk2STHBmoUmnV6M7COgNfHoDRXeg6A8F/Qzcw6FmMEqLf/vMwmk+9NHbZvqj9P/9zje93Ov0+u+baD5/IH/eAB6NlhBS/8jZY3f/5ukjd65H92jWA6RMIYM2wgJdCIUQAinJwA1KGTxl8JWm7gsW+nU+/OWtfOmxDi+9aoV3vXqFq3b0mJ1qsLjSoDsI6Q/8DNjK3iPBKJbEiSBJ7FJvsuVCSYPnQS2ARl0z04rZsr5PQo/9J2M+cneNQ8ebTIV1brjC46arOzy4r80dX5vgxktqXLCpz4e+LFAiZKIVs9IboQ0oAXMTfTrdAJ3UefNLz/HhzzfYebbGG2/sE8WL3P3ULHFa40VXrOeNN3S4ZFubLz3a58njDZ44HLB1RjIzIWiEgsC3F6EUIIRBG9DaECfZxRobRrG9kIcRDCLoDgXLI8FSF4Q35NpdK7zr21Z46RUpsxN1ljsN2t063X5Ib+jTG5QrQX8kGQyhn104w2HKINIMR4ZRDKnxOHW2w1985M71o5jffNubXmLOnlt6/4b1M//4AT6/YpAeYmYkTG/xb38oGo3e3T27Z51Hh0YtRIg0+02ByAhcCIkQAiEkSnpImaKUyJZnja8MoWeoe4LloWKxPc1H72rywNM9br5mhXe9ZoVrd7aZTeskSUh/WKM38BmMPKJYESeSJJWkWqCNsFlQYQgDTaOWEAYRgT/i5OKIWx+WHDgRcPjENEqH7NwUcPkOxfWXdVDhPE8dbLFlqsGVF8HGuWWWOhNctUWSaMMXHgoZ9SVTzYTXvWjIZ++OOXamxa6LfU6vDHnmkM+2DdNcs2Oe+57scv8zglEUcNmOGS7bFnLZ1i4HTy9x4CQ8tKfB/kNNGp4g9CTN0FDzQUpLDMbYizVJIUogSgW9kaAzFHRiiHSCNkNeeEmHd31bh5delbJpJmQ4nGSxXaPbC+kNA/oDj95Q0R8qBiPBYCgZjGzf6HCUWo9/ZME9iDTDyDo6sVYcPd3hPX/9lfVf23vu3c1WPfmp377zg1vCx/jlf/N//+MFeJoOgdpLD7cfen/Q+92ZhlxYF6gGzUYNNZKFBBGCjLWxbC0FSgk8pbJHjadSfE8QeJrAN4S+oRGkTNUE3ZHPcmeaj98zwZefGLJhus87X9Hmsm1DhoMeV+4wbNuoGMU+aVqm+QUGKTW+l3L0rOHwGcHKQPPp+xqcXJjGRD7TNcXmWY/tGz0u2gJX7uyg5QLv/WyTpaVJbrzM48qdbb70hEAkPuunJc1GQj8OkEaCkSgvoD0UnF0SXGEavOL6Ll99tM7mdQE3XjnDP/v2BT7w+S4P7W3SG/osrrTYsbnOrk19XnRpl+96WZdTS0t8+r6QxX7I0dM+J08G+EogpV31tDGkGmJtSBPN9GzM1Vf0GY1iLts24u2vGLF+UjHTConjGqfna/QHAf2RXeUGBbBtPDQYCYYj7EowShlGmlGUWgkUmwzkMIgFg0jQTz2On+zw2MF7173m+onff93L18V/9ckDf/2+D/0+P/oD/+ofH8B/4lf+lI2zvvjA3/zhjpWlfZdeuP4gb7rJJ04UILP8o11mC60trVSQUqKkxFMCT2WPnsD3UgJPEPiamm+ox4ZGZJispUzXBf1I0o2aHD7R5Lf/egZ0gkgSrr+6z46NEUkC2miMsUkcKQRSCTw/YO+xgN0HajRrHq1Asq4hmJuVrJ/x2Dyn2L4pZdf2FVKxyB98YoKjx6a48VKfyy5MGSRdvvZUyFTdZ3bSMNWKaNStFNJa0h4qlnqGxXZKu1fnJVeu8PDuPnuOKaYmarzoiil+7M2L/OEn4dEDTXoDw0rX4+zSBBvXNVg/PWT77JCffUefiUabJw/D3uMS3zcoZRBCA8b+z0CSwIUbU26+KiGNfeIkxJgGw8jnzELAYGRXtGGkCvk2iATDkWAYWdYeRTYrOxppRpFmGOvsPVMw9yAWDGJBNxIsx4JurEl7A0R0eGpdc9uf/pefvSh55au2fPSHXvdu46//uX88AP9X//nDbN+2Wf3QL/z5297zd6ff+/ATR3jN9ZPs2Njlsm1d64gIjZAaKcMsgPRRyqCkQimV6W2J71nNGfiKkS8ZRZowShnFhnqsGcWaKDJMJDCKNaMEokQwjCWjNCROa+w50OSJPZAag84uLCXAlxAoW/PRCuHKTTBRh8mmZLqlmJ3yWD8DF2wcsWluhdgs8QefmOTgoUmuu0hx0VbJzq3LfOWZhLOLk1y/QzI9oakFA0IZYpQgSSXCGJI0YrlX4+yiz3WX1XnBpV3ue7TGhmlBo9biuks1P/O2RX7/k5pnTrZY6WlWuor5ZY91U02mJ+pMT0wy0YiZa8Zsvy4i9BN8L0GpFClsMGGwF1UcK87Ne8SJIk4UUawYxdljJBnFklEkGUaSUSRsgBoJRpFhFNnjOopSoijT9LF9fxjBMBYMY+gX4Jb0ohQ97PGCi5f5F9/b4ZarHmnIIP1g76TUvfgFn1g6+p50ZvtPfusD/P/5b3/DdCtQR44efvvR4wt//uCTC7VErOfzD/TxlODXf6LD5Vu7KJkilUZKg1I+Smn7KA2+MviewvcMfiQJfGFPgi8YBYootkCPY0OUpNYVSZx7CklqSFNNqrF6W1OAO5dCngTfh9AT1EJBI5Q0G4rJhmR6UrB+JmH7xj6t5gqf+GrE3U/NsLIwwdUXKLZv8rlk25BUrPCFhxo0fY+5aUWrMeSpg/DsIY+rthn6I8U1l8RcvdNw5nTK/HLAYNjg9Td0uffJAftPKpp1SRhMcNVFml//oUXuembAZ+9ax2LHsH19ynLbY2pCMdn0aTV8mnVDLdSEgSb0UjxlpZbMWiuNwSastCDRkiQVJIkgTiRRIohjySi2zksUC6LYEEUwilOiWBM5xDGK3bsF9yADdyeWtGPoj2Jk3OO6C5f5tR9f5A03agbDKfrd47VUzf5lKo/+06GY+9ix3R9ML7j8h761AR4oLZdW2t977OipPz6w71htshXQiX1i6fGZ+xVR5PP2V3Z4x6t7TE+kdKXGk2mms60e9j0PP/YIPcXQt0wz8iVRIIhiYU9OrIgTiGJpHYSktP2SVJOm1l1ITeaUZG5J7s4oaWVP4AnCQFILJc26YKJhmGppNsyMmJvukpgVPnqv5AOfn2V9rcbVFwgu2ORz4WbN9k3LfOJrhqWlGpdtVExPQKsRc/aI5NxySLADRrFgblIyNQX7DxuWO5ozCzUuubDGq67vcus9NWZbEAYBSk5x1U7Bj7/xHL48x2fum+bZkzU2dGLWTyVMNhWtuqJRl9RDjzCA0AfPsw6TFCCFA3LshZ1qSFNBkpIBHeLUECUQx6klhVgT5Y+xzmzH3JXJLMjESpJeLOgkkm6siYYRk2GHd75+kXe8osdrrze0u02GUZ1RFNAfHKsRNP/Ur4eeEP7fYHnmWxPgf/KBT5Jq/UNfffDwf91/4NjEVN0jiA1KCDoyYCQlX3jI52vP1Di9vMi/+K4+0xMJo7BGp1/DUwG+5+N7PkGUEvkeQWSlSRTbVLplHGGZKGOlJIE4hTS1ToLWNuDS2uQ9nBm4LcBt4CrwPQuQWgiNmqZVT5hqJcxNDVg3vcJX90T85R119h6e4sJJn50bYevGgK0bYNcFHfpJhwd3T1BXPnPTiqkWTLVGTE8mBIGXJa5gMApY6sSs9A3tXsK55YALNrZ48WXnuOOhPntPTtAIY3wVIMQkO7co/slrFnjhrnP85R0tHnx6isWex/qJhKlGQqMmqdcUoS8IfYnv21hFKTL70KLcYHtYtaYAepLqbHXLrMVEk6QW3EkMUWLKe2xdmWFiSaUfCzqJoJvAcJigkwGz9Q4//d1L/N/f16MRBrS7dYZRyCgKGUW+7X/tHJsIm+oPpuauDg48/ckPXHzVW7/1AL603EYp9aN//P6P/+aRoydmQ18ipEFgD7onBB3hM5CSlZHHf/1bn90Hl3nzy3q84touG9ZFdDt1BqOQwE8IA59R5BEG1t7LAR7Hkiixy26cZJ52Smb9kTG3RBtKcNskZcbc4CmbMAl8Qy3Q1GsJrVrC9MSITes6nG33+aNP+3zh4RmWlptcPCe4YL1gy/qAresFOzYP8YIVPny3x6HjTS7dIJluSSabKVKOODlvCD2JFGCMIIo9tq/v8BApnb5iuWM4u1Tn0q01vusVbT72pYAjZ0N8L0YIH22axInk+h3LbP++Dl94tM+HvjDDI0eabJkWrGumNGsptUAQ+oLAt7GKp7CBsxRFTYbBXmTaYJ2W1AI+B3mSWklnwQ5Ramtdojx5lAgGCXQTSTeBQaRJ+yO2ruvy8uuWecvL+rzhBo0nGiyv1BjFNrs6inyi2GMUeySpYrB4ajZsXvTuS1/wNjUctt9Xq/3vmbj1vwXgi0sr+L73z2697e7ffOyJZ9b7nkFKUViA1iER+FLQk5KurNGOPD78lRp3Pdnluss6fN9r+rzxxjazUyGDYchgFBD6PlFiD1QeKCWJIk4lSSKJU0GSSNJUkGpRam0tKFSJyTOiNlmksmRR4GvCIKUeJrTqI9ZN9RjEA770lOEjX5nkwaenmA58rtpi2DQj2TAbsHlOsnVDxEVblnnyyIBP3zvHpPKYmxRMNAUTjZh2P+XzX6vRCux31wYGI4833zzicw/Ymph2T3Nu2WPr+hZvvaXHg3u67N4f0AwTlBQW5LrBMLJa/5+8qs2lm87x4bs63P/sFMeW62ycEEzWDI1AU/M0gQ+eEihJliCz3zsvP9KZVNO6XOGSDOiWICBOBXGaATsVDBNBPxH0UmzME0U0633e+tolvvc1Ha6/NGXDtM9g2KTTC4jiIAO2T5SUxBQnkjgWnDy+e33YuP83L7z0pXrQb/9ZvfHNB/k3FeArKyusdHooKX7wzi/e+19u/fyXZtsrK9R8RZJmmlAalACZgCcgkBBK6Eqfvq840Qk59UCDB57q8bGru7z9VQNed/OQmamAaBQySuwBixOPOAN6kiqSNEvYpCXAtcmYW5c1ZbkNqaSt4/A8TeCnhEFMPYxo1QekDPjio5K//vIUTx+eRMQhF04bNk0Z1k0p5mYCNq6TbJ6LuWBjh+PzXd7z2SbJqM7WrYKplsdEEyYaMcKP6AyaTLUMQgiMgTiRzISKRCd044BuP2W5ozg5X+eKi1r8xHes8O6/CTk638RTcXZheCRJjWEk2Tgbcv3FHa6+qMczR0/yka/UueORKU616zRDRSuApm8IPIOvwJM2nS9EtbpOA0bbiy7VgtRAkgrrn6eCKLVJokEqGKQwSAxJkqDjEbO1Aa9/9QrvfHWXl14VM1n3ieImy+2QURwQJ54FdqyIY4+ocG9kJiMl0aDNM098ZX2UyP+y45Ibk4XFU39RC5o0W988oH9TAT4YDJiebL7lgQce+cPb7/jixKDfplHzLLilyIKeMvjxpMFLbTFToDT1VNBXAf3E49yoxmceaHL3031edGePf/ndXS6/oMP6KcVEwyOKA6LEJ0lKkKc5wLVEG4kxVhKYIqDMUv3K2CDWSwiDBF9FdAYx852Y3/tEjcPnpnl09xRGB8zWBevXGdZNCmYnFLNTPhtmJRtnE7bM9ZmdWuYLj2keeXaKq7cKpluSVkMy0dA06xHCHxGGHp6yf98YSFPJYOQxGMYkWtAdaLo9w1LH58ziBDft6vHiK1b48J016ksKT8YWkMYjSQOi2PZ4rpuq8cKdPV54cY+HXn6Ko/OSv7xjinMrDU4shgRK0vQFQS7DpD32BZHnUgXL5IkRJBpiLRilMEwg0gbSBJIYqUZsnh5w9XZ7Pm64PGWi7pEkTdpdC+wkA7YFs5fJRmUBHkvi1MrKJBXEqaLb7/Hwg3fNxon/h5fsunZ5OBx8+puJyW8awA8ePMDGjRvVRz7ykYuf3bN/YtDv0qz7xKlBJXlG0iBTgUqMrfVIwUsFvjIEiaGWChpKMFCCvhcySH0Wozp3PDLJV58d0AxH/NM3tNk6m3Dh5gE3XdnFE7ZFTAgrV2xW0tZKG+MwNwYhDUpYz9yQgEx45rDk4T0etz7Y4pljLaKkQctTzNUNM03DdMNYH3zCY2bSY3ZKsHEmYfPcgE1zy9z99Ij33rqeTVMecxMw0VRMNAWtRkI9HPHVfYph5OE3LaiMEUSJpOYprr10wANPTdnCp0HKSsdnYSXk7MI0P/HGs5xYWOSBx+fwJSBiNBQAGkWS3sBjulVjaqLJiy/t8/Kr+3zfK+fZc1zzuQdrPLinzr5DTRLhMRop+rFCFaUPbuCZ5QSMJtEGozW+SJkMImrEvPi6Hjs2Ddm6LuZdrxtRDyTNuk8UNWh3g2wl9TLCUYXXbu9y1T3JCsKSRNgVotPhwQe+OnHi5NmLv/07vlsdPHgg3bnz4n84AN+9+1larcngscce+WHQ/7XbXqZe90kSm8DJpYmUAiktY6sEKxFSg5eALwW+NoSpoaYEjVQw0jBMfQapTz+t0e2m/JcPT2OSmA1zQ664YMjsZMLbXzXggvURcSwyvS3BYW4y/SmlRkjBx++q8+TBJsLzOHqqwcmzDWp1xWQomGoaJmqaiRq06oLJhmKipZhuecxOwbqphA2zQ7as75CaFT5+7wSDXpNLthomGopWQ9Kqa1q1BN+P+MIDNUZ9ib/edovmEqVZV7z+RQPueUzTG0l6g5RO32Ol63FmscHlO1q8/aUdHn2mwdGlFkpqIM70sk+cKkaxTcz0hh7tXkCr3qBZH3H51iE37hpy/FybI6dX8PyUJw55fOwrDYSyhWuMzx80GtBgDHGUsn1DwjtfNWDdRMqu7YYNs5AmPqOoRZL4LHd8klgRp14WB1lA5wC3MZEL6NwAyDx4B+SJ9jhzbpHpdRf810cffaS/46IdH9i7d3e0a9fl/zAAfvz4Cc6dm7/09OmTf/TYYw9LqSSBLxFCI6VEZoytpMGTkGRsnmiBl1idGKcGP7UaMPQMtdSQpIJIG6JUMNKSUSqJtE+sYb43wVee1BhSPvWgHdmA0dk9z+JlFpnIKxIlUimS2ENqD9+TtELYMWdo+ppGqGmE0AgFzbqkVbdyaLIlmZ6A2cmEuekRm+e6pCzze39X476n1rNzFqYbGXs3JK16QqMe0WwMqNcbhEqiZKbBsXIgjn2GA8FglNIdKXpDTXegbctcM+DE2UlecsWIn3nHWX7nYx7HVkKE0BgTo1NDnPhEsWQ4smWsrYFHsxbQqNdohA1qYUyrHnH9JRGBH3PDJQnvenUfTyVZEkgjhKmK8kzSaS0RQhL6CggYjjwWlz1bt5PmMU92T2QZA2WFazm4c2DnoE6yoLV8TWbtQpIYHn74YSmV+qMoGt47Gg6f/mZg838Z4J/9zKcIA69++PDBtx3Yv18IrKdsy1wliTCZa2IdiyQxSGVQKajUasMkBS+1vY9JHtGnWVSfR/ZalK+1INKSxEhS7RHrkDSzvdxbkaXMbElPgq+gVjfUPENNpYQ+hB7UAkM9FNQDSaMuadQ8C/CmYKqlmZlImJ0asX6mx+b1i7z3Vs2H7tjAtinFupZmoqloNRTNBjTqKa16zOlFzcHTIbXAXtCQV/oJhpHHjo2ajeuGdIYBg6HJWFyy0vVo1Wu0GlO869XnOHT6DH/66S140sOgSXVKog1x4jGKFIPIFkX1a5LG0KMe+tTDlHbXxhiBn9qEmZ/iSdsoIWWauVr2bktXbAmnBbmgrbMqS23jmjSVaC1JdBnvJKlwAvz8ufOYiOz9HNxkPxf2fCdkuQqBkJJnnn5KDIfDt23btv3gZz7zqcF3fMf/WiPz/zLAWy0/6LTnf6G9fO4XjI5k4Cu0AYG0nTfCkEgL8FRntdypIM3kSaLBS61fnebJB22y16Z4r3xeVspZL1cUgZKruYFKUOtJjSfJalrAVwLfM9Y39gS1UFILJPVQUa8pWnVJq2GYbKZMtRJmJkasm+5zwYZFHtw34sN3bWa6FrKhpZloCAvuuqRZ0zRrCa3GiAf3whN7Glw8ZzLdW6bNByPFDbsMl1ww4KGnp+iPDINhSm/gZSD3adTq1GtTfM/Llnhi3zke2L0RjELr1JbDJoYkNkU9yWDk0Rga6jVFLdCEgU8YpISexvNSfM9mh5XSWRGbPT8Ig6DUc2VwbkuIde5I6dx+dazYHNg6B23+mgLYFUBrC/I0syKT4txbP77THcgTJ0//R+XVgkaj8RtA9LwBfDjsy9Fo+Kuf/8yH/2175XRQD72s4B4SKWxAmYNbGntAlEFlSYVUGTydPde2gVanFM/TPONm8sybQWeZuDxZYYzBybxXVtzcrckTOkpmGUuFU7Rls39hoKiFinooaNQFrbphopEy2UyYao2YnRyweW6ZB/YO+NU/38CxE1NctE4z1YCJuqJZVzRr0Kyl1GsxgT+kPbTFYr6y8Ud+S7VluDgJmKjH9BNNP6uz7g9Tun1Ju65odENqYYsLN8b8+g+3+ZUPSr62ewMGhTaaNNUkaUKUaKJYMYwUg1BSHylqgSQMDGGgCD2N71u/31Mmq/PJVtVMpghhqg26WWrfZCRislqWNAN8qstHC1CZPYoS4NnztGBtitXZJuFKItNpVkahDUeOnAg8r/5zP/SDP+D3+/3/0Gg0/t7p/L83wPv9Dmka/8bup+771ytLx2rNurQfUlsfVWlIpb1ilRQkKgeyQUsL7jQDt86fa4HOruQc3NajBaON7SLPSkDdO2MAz2R3FlhaiWJryq0k8rJWNN+ThIEdAFQL7UiGemho1jStRspEI2ayFTEzMWDz3AoP7OnzKx9Yx95jM2yfsQ5Lqy5pNqRl77qhUUtp1GLiNOKv7mwhlcLPvP+CwU2+hPv8k9cuc/sjEd0opJ8BvDdQdHuKduhRC0JCf4Jd2xL+048s8ssfENz/9Aa0kaTaptXjxBaajSLNqGbLXcNQUPMFYWAzm4Fnioytp7SVibIsSy4AXqY8gYxEsLkE67ZkgXwO4GzqgC6Sa2TsTrHipmsBuwB4honsbhs1BHv2Ha7dfufd/+ZNb3i1aLc7vzg5+febnvX3BvjiuUMYo1988sgjdU+MqAXKpnqz9HiaClJZAl1pQSoFaZEezsGdy4/sSxa1EmX7lQW6sHUUOajzAz/2ucrezazORFIWU2V15BbgEt+Xtn4jENRCO/OkEaY06xbcE82IqYkBc1NtHtzT51f/bIZnjq5j67RgtulIk5pHs2brV+q1hHoY4fsjTi5O4yuBkjqz5cogM00lSaLYNG1IkphOXMs6ZTSDYUp3KKn3FbXAJ/Br+N4kl21N+E//bJ5//3544Nn1pFpagKeGOEkzJteMQk0tkgwDVUgw3wffy5wrJW0uQGbulgCRPa6BcStXyJJCiCI5pLPkUJ4tTlPnfV1KztQBttbl+S5woKtAT1JDFCXcde9D9e0Xbn+xlH//HSf+XgDf8+TnMXrU2PfUbYFOlqmFgjjRJFKgUuuSpKoKdK3z9yzQtTakHsWXrAI7lyGmALrJ5Uj+/DyfTYqyiEpKkFIU4FZSZo0SuTyBmg9hoKnXDPXQ6udGPWaiETHVHLBuus0j+4f88vumeeroHJunFHNNzWRd0KpJGjVFoy6o1+zFYVP9EQ/sFvSGATVFdpFlbXimDDTjxKNZU9x0ZZcHn5mgH1uZMhil9AeKbqgIA0XgB5l+nuLybZrf+rFz/PyfwP271xNrSax11ixd9mCOAkkYaMvefllH76n8TiZTShmXl1KsBfI8KWRygGeATwvnhTVXXl3o6xLAaWqyn68F9LJc4My5FT7wV58Jvv8db2p86COf6//A97zpfz/Al+aPMDW9derpx/7uPUk8fJkUKb6nCjmQSpD5FSut5tbOsmUZu7zKtRJrs7YDaF0Au2wKJtPexckQWR++zMCdFRmpAuCgsopB34PAx3YCBVmBVZhSz+RFqz5isjVgutXh8QMjfvl90zxxZD0bpzzmGprJOjRrgmZd0agrGgV7p9TChFZjyN1PBKy0a0xPl2nyHDA606Zxqlg/q3j1C3rc/bC2XTSRdkAuqfmSmu/hewGeV0dKzeXbDL/5Y+f4+T8x3L93PbH2iLMKQFv2apk8jGVRXRh4Es/LirCkQHn5saH4fPlFmEsVkVelUSaExu/aedTaeSxW3iq43crOdPx16hoMMIpS+v3By3bvPfT+n/yRt//ki/YfWdl1yYX/ewHe75xi2J//+c7S4e8dDRfxlA+YQhakWUJHu0uUFpnOzq/y8orP5UdayBAK9q4EkuPMnSE9z8gV2lvmFXSl7s4rBj2Frc/wDL5vG4trgaYWpNRrCY1aTLM2otUYMjPZ5tF9I37hT9bx+KENrJ/yWd9ImWyYDNwZe9ck9dCyfy1MaIQRiR7RjUKEkvg5gxcaXGTslfnFsU8zGNpygajGdA7yYUo/sAweBtLWxHv5BrSGqy40vPsnz/Lv/lhz/54NxNpjlAqiVGcsLqjFmtA3BL7tXfWyuMNTtkRYSZkdn6wrP390CrOKC9ONdcbAXZCQQ0wuuIu4ypTP3fdSp6Q5d1OSFAySU2cWeWbP4e+9+77HDkZR/O//tzJ4d+UYzcmt25/62p9cPeyfJPAFWtuEgdR2TxmlLbi0NmUQok3WUZIX9RgH4KI4UKl2D5hwmKLMShp3zcxZ2w0q8+U269BRWTDleVlnUFaElFcP1vw0080x9dqI6Yk+k80uD+xO+MX3ruOxQxuYm/SYq6dM1gytDNz1mrUTc3DXw5RakDDRjNh9xHDXo00CKfGVzoK40qPIl+84VSTa4xXXx1x8UY+Dx+rMNSj7HEcp/WHGwp7C8/wiYSaE4crt8Fs/vsC//xPNvc/MMYzrNhmWGBpZDXfoY0Hu5auXLnpbpUqLFU5J4QBcOCBnlV4pQW6qAC8qFMuVd62VuWT3EtCua1aSowGhOHD4NLd/+eGr/9N/+PHt+w+eOHrJzq3ffIB3V07hh1MXnj56/+/Go6W3oHv4nofWGqkFygG0ktKRIbm9ZNBpLkfEqiUt94dN4WmPuSSr3JKMucfBLQxSlbUvSmbzUzLmDjyN72tCXxMGCbUgoRZGNGojZib7LHf73PM0/NZfb+TJA+tYl4F7qm5o1QXNmii8cuu8aMvegQV4PRwRpSnDQY2asheZFKJSyZcnUmyg6Vkt740YRYZBLByAa4IgJfA9fF/aqQLSLwCOgGt2CH7rJ5f5L3+TcP+eWU61Jxg2JVOpoZUYatnEgdA3mfefOymmYO9cqoiiIE4UcQzO5xbO8TfZSclX1RLcVUlpqzkdsFeAnlu/Vf2ev5ev6sudPmfOLb3l1tvvT19+ywv+zaGjp45ctH3zNxfgneWjeH79xuVzu9/WWdqH7wcYozHasnZqsseMsXNga9dKUqKQJBbUIlva8oRNVYq4AM8PsasK85Ngxz3g1Lxk4C6GA9myWN/T2ZiJtAB3GGTgnukxvzzgN/+qwae/NsdCb5q5SclcLQN3zeruRhZY1kNJIzQZg1vtXQsjIOLLjwcsxwGzIZV6bER1hUpT2/wwEXq86ro+D+yN6MYhk0XHuiYY2Vr1wLMA95RtyBbSJmgwcNk2ye/8yw6fe2DAb/zZBk4sTDOY8pgKBK1E00ggjO3o5UDZgUZ+HmhKUQTB+aMbqLsXphBFr0hxfmBMQrrAduIn7YDfzWOsCXJTxmnGAELxyJMHuGDrhrdNTzX/qtMdHPmmMngc9fD8xiVnj939rzpLTxAGAiHTomJPZyB3EwGFdZRlwHJAF1q7AHUuQUxpQ42ztitLsgOdM0uebs5dAJUDXBlbjuvlvZ22vzPwUwI/oRbEhEFMqz7A8/rc/UTK+z8/wa33rSfSE6yfEKyrWVliLcDcJ1fZXWTM7bJ3jOeN+OqzU/Qjj02N/POMM3i+utlS0pqvePHlAxJtAT6Ihe1azzvXR9oGh142Gyaz90SWXDcI1k0JvveVPVrhKf7s8wPueXaWM3Gdfk0ykRianrEg97I4RJksLjEZyPNjKMracQmSksXHdxQspEo+ooJxbe52D5W15zmjp2sEp6lDgMW/g8AIxV1fe4Zrr9n1r976ppc81un2938jcw+/LsCj3gGWT30WP5jcHHf3vjyQZ6EWYozOgJqPGM7kiSmZW2tXkpTsXZEjudYmSyZUgO1YD659VQwHcuYV5o0UMh/tprOa7wzcytZihH5MEMTU/IhGY0gQ9PnrOzx++y/Wc3B+Bj+ssbElmAlTJkJDM4Rm1mFfD222s5YlhGz9SpqtBFaeLHRSelFAoBSBNEWAifNV8gs7r92IEp+6P2Tj1ICVfotBLLJxazZW8P00s/lUZncqC/BK4GorH9/y0h43XDHPb/3lkA99YY6lpEk/9Gn6kgnP1uCEHgSKohnCy5M+xRwaUWSB8wSQSypVseICncoKrE1VapbafOy+ymwYvwu08Th0ssOdX93z8uV+unl+sb3/sd3Hue7ybf+LDG5SZje98sJB+4n3JoNHadRSUhM7oBVZz6NAaYlxWNyYqkQxuqxvyIPHylVaSBIxJk1ycJuSTbLsm3QBLg1K2tETJXOnGcgTAs9KkjAYEfoDjpxN+NPPNfnkvbMcOjvNRMNnpgbTYUorNFnqPQe3zMAti6RQLdPeYWAvnInmiE981WP/0Tq1bAJX0S5GifJijIOxOjxOPC7bDt9+Q5f33zZLr+Exkc0eCaMsblAaz5PZ2DockPvOubKrwgXrJL/4A32u3nGCP7l1hkNnJllK6vR9j6YSNDKgB9LYCydzmYrVLz+uuX2I1edlptOs9slzYspLJwrffLWlWHQRGXcVL+VJAfb8d7TNoA6Nx21f3cuLbrjive/4jpe8YX6x83WlynMC3JgI8Inad21N+w/v9MVZZFgn0cZWmKUyK8LRmfzIQS2LcWilSyIKQOfgNy57G1GwQMkKOW2big7MgS2cSkWZgdu6Jjl7p/heYjt3vIQwHBF4I7ppxB99NODPPreRk4tTaFVnZlIxExgmA00jY+5Gkb6XWZ1KJk0y77wAd2Czl6M4Yv+JkF4UMh1mLk6edMpdiTwLa5yalNhjoumxY2uECod0oxaDQFCPDaMc4F6aJWqU9bFlXgK8VvCqmJvs8xNv6fO2V5zhzz7X4U8/PsvCoMnAq1HzFA1PUFeGMDGWzaWVKp4syxvyLOcqJmcNuTLusACVWCoHr0NkOchLcItSf2dlAUnuOGnB0CjOne5w2327d/phuPX733j9kZVOytTE+beaem6AJ0cRampO+eKjDL/kh6EgSSNU1h6mlSzArLVAGcvgOpMv2mVsLQrNbsYYvGRsgVn7kzh2oCmAXZEnMquSU6kFuJfiqZTAj6kFEYEf0R5GfPVJyV/fMcHH751lmLYIgoDZQDAVaJqBoREaGkEJ7looCUNJmEkTmxjKnIkM4IFvM5+HTxvueaRBFPuETbMqwMxvZTrbkkEUK3zf49U3dPnwF3vsPdFkULOjGUa+IUjAjzV+pFFKWt9aCqSQ5XAfyuOZakmiJY3QY8PUgH/3PX0uv2DEh+5o8fDuSeYHTYYqwPc9ap6gLiHMByzl9qo0Np8gcEBerVkZL85yGT0nqHFHLH89ztSuHEky4KdaEBuINERGEGuDlvDxL3zNf8frXvDR46eXXrCw3J3/ezP4M0c2y/byozcm7Y9NvviiZaRo2EYF6ZFKidaK1EhUJlFM9qgzwJdypCpLinsO7EyiuAxeKfyxPTqWyYuUsi7KPa3uNngqtQBXaSFHPC+m3Yu572nBn982wR2PTrLUbiHrNVp1xZRvmAg0Dd/QCAz1gIy1LXPXQ0ktUNQCQS0gq9DTGbg1oW/1t/JG7DsBJ9s1m1jJ9G01cVLWz9g+SAvyREuiyGPDhOCSbQOeOpbQj31G2YzvIMKCT+WTdfNEDcixzpz84sltyDi19eHvfPWA171omS891uWDX5jg4d0TLHYbtGVAL/AIlCCQglDaRnBP2l3qlCgvUiWyst81GHxV/co4kzuEpnECTyNIyXzvnLU1JAZiYwFu8yYp6BjSiDjq8ugjH5m88bI33Xjt5S+4jecYHvScAD959kR4Zt7/4/f++ULzPT8ruHjLCBEZpExJpSLVyupuIzMdXgLcBXfluc51qANw54BUeKEiTUylQN/KEp1pbo2SqR2In7sZMma+m3D3Ix6fv6/Fp++Z5FyniajV8Fs+Ex5M+raTp+6TyQ6oByK7y6zkNNPdgSDM2TsHuJcQBAm1IMKYmC8/GnL0dJ11MwJf5q16omz0ddjOOBZqmioGI5/tGwSvvq7PJ78W0Yt9BrGg5tt+1SCbLFWuUqrwq+0cdcrjakRxTtLsniQe9XDEO1854NtuWORT93b53H0N7n6yxbl2g4EIGAQenq/whB3p4UuJL0wmtQwK4UjDqn24BplXXLCSuUURgOYaPDUW0PZeMrjOtY1JQSegI4hH7Nza53tf9lhz24bX/zHJ0cuBwd8L4I8+8wQL812efXjEp+6r8XP/tAvGkCQpSnqkumzyNQXAZUWW5HtY5u9VTgLY3sk1agIrAaUDbCF0ZgfaYZ25HAm8mFotZjhK2XsSjpxSfOTOSW57eIJzy03wa3gTPg0lafmGlqep+4a6DzXfgrvm25mEtsxUOneR/dxkINcFyAPftqcdPKV56nAIvp8t88ZJ0YsKCtwgzNZLC5LUjnO+aseIK7b22HOywaAmaCSCMDaMFJm1pzP2zt2U3IIstUrhs2dWpNYqmz7gM4x86vURP/T6EW++aYXbH+nxt19scORUjT0nG0QrIUnoMfQ8pLJTfRXgZY85kxfShTL4X3Ur3JQS1BpHlkAZSBrQ2MZnKsBOgSQDeAKDmO962ZBtF7Y5d27/lD91y/cvd837p1trfYDnAHg6OiyiqPevbr/td9fxjhUu2ZYSRQI/iPHrKTpOiEaWxQ1VFs8ZpAS2dAJKkYEa53EM3nmkXmg+m9TIp9DaXR5SwtBOUk3SlDOLcOdXPA6eqHPXg3VOLtc5eKoJYYhqeNQ8RdMzND1tXQTfDs6v+XZcmwVxfpfZXWUAJ9PcGbj9lNC37G0vrIjD87D7SANfVu3BQqJQ1oMXjkJhr2Z9jYnPFdsHXLK+z9OHEvqJTysWjDwIEjsTUDkAl9K2eblMDuP2myiC2byPMk59Rn7ARD3in7x2xEuv7nByucOXHwo4dDzk9kcbnFqskQ58tPSIA4WQ0q4UWVe+JMt4QiFb1gJ5JdDEzVLnbkuuUbVzz/prSbMG1hTiFOElqCBh3wnJH/9dk9Mrh6d+8l39nwmC5M9Wo+jrMXjvowQk3/vqm3Y3E2147yebfOQLdV55Y8TlO2K2TGsuvnBEaCRpnLspMpMnLtBzKZIB22HxnK2rn8w4EXvJ2oUUUSl+mBKnhkPHBU8dUtz5YIOnDwc8e7hOZ2Tn4OEHqAmfUAkaChqepu74wKGX12nkZbO2LjzMZEkQKIJAZheAKbW3n9rMom91fi2IMTri7JJkZEI8TxJIg+fYbGMEXoA8dRynNPPDBR5zMxFSDenFPn1PWKcjLgvGPKUrGUgpnCg2H3ZEGRPlrWX5YCQ/VcX4if4oYON0xAUbYq6/aMQgGvBPD7d5+kjAnQ/UeOpwjUPHanaOe6gwUoGQpNLJBhVJijW0SkWc5z5w/qidx7G71hBrPFJ27ojYMp1w2UUxr7pxxETN8J5PNLnngWMstj+O5/9Puii/+Z5P8v7Pz6uX77pD/OVtPp/8Sp2n9tYQAu58SDMZaC7YGnPVZRGvvWHEq66NwNi2qHqTTGdL0IIktoDPA8kKg7uXvLGAJptf4nsGhEZIQxwZ+kPL6EdOSP7mjpB+rHj82RoHjocs9AJGaQBeAMpHTSgCKagraChDTWHHmams8EhZ1g58YZMeLrh9SZDJkjCAMCBzTWzK3Pc0gZ9kGdGYei3i3HLKnfe3aHdDpicFXubF50Vf4nzMpp2AUEtGI8W6WcXrbhpy+8MDjrWbDHxpZYoHfmLw49yzzjx2mVq7EHfWiSz+hjZepWQiTSVBqkg9ReLbsQ9x7Fsr1Y9pBjEvvSrhxZePeOvLh+w7Lnlit88gUnzozgaHz/ggJP2BRxqpvHwT4+UAH7OM3PRtBeCA0YjUILTBZMCuN1N8XyOM5lXXjXjtDUOu3BWzfWvCpG9YN2VJb9tcwqcvTXjg8OPiP//MVepP/t1fJN70D37jDH6uM/dH7/qVxjXPHpiln3oQSgww3zfMdw2Hl0Luf0rz0TtT5mYSjDZcd2nEO18zLHrt5iY1114V0axlK44RRQ5s9TkXxXCedl/wxJMeix1JvSZ5cLfPZ++tMYwVw1hx+kyAFh6x8dHCB89DhB6elARKUJOGWgbsUBlCZWwNuJd5vl7J3EHel1mAW2U9mqJg78DXBEFeoJUW7B0EMUpFfOUxxSe/1kIFnrXbKvr7/Ayee+FpmjseiuHQ5803D/j0Vzt86MuT9JIazUyH+7kOj/OkjCm6hYSQBcDsn5KO1ncArrPRDp5lct9TJJ6Hl6QW6CpFKTtIf7qWcPOuhJt2xRgx4u2v7DOM7Ti3z9wb8tDugHooWOgonng6oNOXmUoSnFeUFztP2NbAa6+NWTeV2qaHVPPO1wy59pIYo2FuRjMzZfCywTYmVSRD+y9dtcOwc2ubdu/INZu23/xHwE98Qwx+aqHLptnmxM//zsd3HT/XUH2jwXc+bLYvozaakdacbRvOrtihMfuONfjsV+yVaFLD5LTmxmsiWnVbB7xmetK91DPXYaWnePipgE5bIT1pZ6IYzzKT8LBzgT2QHlJKfCksmKUhlJpAWiAECgJVzuizIBdlw4NnGwHyxmMX3Jbhs7JaP2fw1LknhF6MMREnFwKiUY1wUhJkaW+VVeVVsph5Rw/gWqdFd7pWRLHPdEuxbV1EIIYMkpBBIqh7dghmXkOSJ7SUdMtby+0X7d/Ik226zJ5qnTWflNIoSdIsb6CyuewJcZKiYptL8FSKlAlb1+lsxdBcfsGQyAyQnqbdFjz8lMdKX6IKxVINqitnOivGatY0L74mZnJaYxK7steVPXb2s3voWBJlUi4faQFADFKkTDeFiuPhrtrcj02Y9Ds6Qs08N8CPn1rg7Pzyu7/21IlXnukbCJvVK7AYrGNsw6XzOjGatvOzzorh9FeazldcC+CufstOjhDofMsFsppTocogR8rMyspBnaWdJdnGrblv7Dx6WSe9Itt6jwLctq1LEWTgDjyKElPL4BmLe5ogy476fkwYxhxf0Pzl7U3wAnwpygCzkCdiFYO7/nA+JNSCzQ7WiWKfd71uwKfuHvDs2Ra91KeR2E1pbRWgKTtxVJ4TcIO9vHQxl0LSKfDK77qohfE8hZ/aeSl+BnQly6SZrRvPngudDQ5K8YRBmJR1Dc2bXqJBpJnMBES+f8Ya57yoMRKgFWnsFeBNYklM1aRwYzkcB86+n+Bx4JWqefjdmOSnvi6D/+mH7kRJEZw4dsbu2S5l2clOGf2u1lSZ1250+b4ypL4D7jXxnbNbDvBq8CKkLFrQlLCLiS8NobDVgr60rz1JVlORdY/nhUQezhwUsp3Zyq76EuCykC1hYIqWtiDQzuCcBD9j78CLkTLi6BnBfKeG8DxCSUWeSPdrOafblQ4V4GVOR5T4zE6M2L5xwJ4zIwapxzCFMBX4qcFPMh2eUDhLZQpdVToV8tjOWrimUqdvpZHGSzWpkigv375cZcVqdlsZJcu7kBqVgVzkfxvb9CKkKVyvHOi5A7YWwMvkXhmXrQZyZi9XgJ6DW2K0ZpSeZZR+Oigw+FwAf3rvMbsN3WjAtA9a2GrAhLI+IKX0Nl0byBZOukD+erKErCvHKawXAkmZIrZTqcAXBl9koM0kQP68eC8j+7IUlKLBNlDCgr0CbmkfgxzoefCZgTvv/vF0IVF8z+rTIIhJiPncV+ucna/jTyoCt4bDdVAYU6Ru6tqpvsyTPsORnWD7xlt6fPXJIZ2kRt/zqCeaKEunK1kWROUFZ0Joys6hPNDMqzZz6zCbqWIgVfZvelqQKIGXymwXO1vLk2RAL5NpukiwSamdxFv2XLrgzmzeYq+Y85x/p9COwoRwE4FOBjwDfpk0lKTGQByT6ENrrhYVgH/wI3cw0aq/5IMfu/uGs2cTmr7dhSzNZpLYGl5RmPVFyhWn4zo39Z8b1sVJL6rVBKj8URg8KKw2laWM7XyTUuPmsw5VPtAzkycusIs5KArbj7gWwPOAM9fdXi5LTKa3q7XkgR8T+BFn2ppHD9TBC+wIaGmK9HzB4FRZPGeu0gd2S0Vl4YnHsc91F4+YnRrQXm7QTxQNBX5iv4tK7QAlFbsAx4K8+ENyrFJTZH2TWYmz0qRa4GtBqiSp0qRKkGQgd4vX8nIImYPcAXVeMiHQxS4eiNLuxUnaVYoxKvUrLps7n9kFObKYz5JPELaFWZJATdwwueF1Lzl58E33bdn5hrUBniQR/b55U13pa5WJ8Hzf9spJJ3FA1q2BqbC3RjhMnhn646DO7BPXTMqv8jwrVoLDFAw+XsLp5bURWQ14Xuppm4vzThUrS1TRvVICO2++teydaW6PQm/nlqBl7BLcflGdGCOIufXekK8+3UKGHoEUdv52UUHozmdx66jLk1qMRnPKjm12WDEY+tx05YBvf2mXP721RZSG9FJJLTWMErKVy63605mc02MX1PmYHLQns55IUYA7VRKltGV0KbPREtopRXZrgEwJ8kq2OWfyfJF2ZKpYTebuyL2yhiWXJWMgzy7a4iLVdqvDBHVtLRq8yejkvjUZ/NCRE0xNtl73kb+78wfOzZ+jHkg0hlSU8wCNXF3jazVSeR26isRQuV6zL+sweAbuHADSAYWkrHlwRxvkzG23IMlfkzE4RRtWhcWzbhhfVcFtxymMMXfWsxlk7W2+lzccJM49JiLmb788QWpCVJG9dAPMsq8xdzYqGpyxdj0t7XSoNA82PQQ+73xVn7/63IgVHTNIawxSgZ9QsLiUBpmIoujM2oXj66csz1de8JRrfy8b3aAykHsGpa1csWP2bAWjzR7LojS5tCjd6s6yjLloSimAXkqV1QCvru1VkONobuFcqKJILCYaRu1F6lPdH9h+6Wvvai+fvH1yeksV4MNRjD8YXby00tu5tNwj8AMSXXbMlAUzYgzg5TrjAvp8NyEcJnfkSQH0sfLMQouPac4c9O5sD6VEqcWzirvKsJsM2J4SpZNS2IG24942JpuMucsA03PYO/QjHj0g2X+qhlE+SkoCqfHG6zQcAT7uouT3otPJaSDJHZU48dm5OeaKi3p8bV+dWAUMEkFNgp8avERk8i3rwkkyHY60cqHyJ6vgKKVROcojnwnpKV3MkFSZ9CvBndcCmaxMIGdyitVDOOBG5BOz1mbvtW7GlS/jGt1pc3SrVpO4i0l7O40eXoyObl/F4GfOLtPtDml3hzYRk4FIGBv0GrLud7f/zgF28cGe42MXzO0y+TjQHXCroua7tN1KySJs97wowW2DTFF0i3sFuGUF4O7wH9ttTwHsIltZMHdK4NnEju0KijHEfOzLDRYX64jQs767exGO16CU5FSxCPPmW7eOu/Cmtd3bZt2M5B2v7vLogQlGaY2+CqinVovn5axKkoE7Xyt05om70ZCTTS4AYpwLzJ1jI1G6nOmeP5fFtuqZBpf5fke5NJFlc8Q4g481rZTpvtWFdtUKUzGGs7zPANyeYClA6z7DwQJpPCz+tQLgf/oXn0JJybnFFcJAlQ0FLmMLB8xmNcC/Hn/n/n8pT8YeXUC7LF4ZL1YytnQZXAmHxXO5IlFeFeCBlw0A8vOtA7MMp2fwi1S8zp6nlbunbOfOs0fho3e0GMkAJVWWvaxeiOMZzFXLsnMcqzo80+KpIkk9wtTjHa8d8ue39XnyUJ1Y+fSlJEh15h4JZGqc42Rse5lw11Od/a3qvkUuk6cavMJCtKOtVVYSoFJTDuss5rKI4oJOxvS4PZ9usRwOk+cgf26sVHT5eeVK+XsGj8Wz++isnMO1Cz2A48dPsnXr5sbP/cof7Th5ZqGYdFT1vceuKFbr7VVgdl+L8eertff5JYoogDM+Dlk6jJ0HmfnUJs/LN3nNtLcaA3eevvfzxmRtZ4YULWJ5T2eS3WOUH7H/pEc3CkB5mTwxY+Wx4xdu9YBUBxqNeeFZN06Z+PFo+oJdW4Y8uT8i1SEDHVBLbc22l2lwJexGrjaxlLOlJg8ySyYvkyh5h7tXDDa17+UDUz1N1kFkkLqcEJBP10rz7v7CACiDyyLwHDvfOVpWNUxUXKbqk8KLKWRLFexgk1k6Tag1pne84OZ/0Vha/In+zOwmC/Ajx0+zsLTy2gu3rfv5hx55Ck/J6pAXZ8kwY6g2wv0gVXBXQJ39n/szgc3nuEAogV32MSqHFVVlqGYOcsoaaeWAunieJXkUmRduwW0BXA4F8l154rK3yvo6g4ilrua//12LxUENEfpWnkhTWVXKwTnPrTkr0wTyOTEFg1tHJUk8JhoeP/1dXb706ASLo4BIegykJMh6KMuRDxmDu/X0QhdltAadgVtnJc6usyIyBjdFkJ6DXUmRMbiVRGnholDIlFKHl+2EpUzJA8/SKqwcm7FVbjXAx4+ZqCgHm2sURIOIGW/Dz58+ue++JO5/CjIGf/CRZwnDgH37j6J1QhAEa7Ozqf6hr3tzAe2+HmO3UoOLEuRyXKJUB9MUwJYCqcrxY8oBtSclXiZJvALguebWRVDpe7oAt+/l9RdV9vZVTBBEfOTLPs8crIP0kVIS5qWxjrVZ7BGffcnzVhNSsnmxU4UjUxIts02efK7a2ectL+3w57fV0F7IQAaEUhRJHyUFsRPQjTO5cJm8kg0sa2K0AmXsqmCnJFDMdlTZMNVyrEQ5i6acTGv7OIWsypPCWXGIjQrgv/7NMerGMJizuyBOIlaWjiGkIk3sxhAeQBD41MIAz/cKII0D2FD9MN9A3VTxH5U6NC/MN6sGylQ84yKwFCWbFwz59QAuS4Arp4bay+pSfAop4qvSLfGd4UCl5rbs7Xt2atVyW/OZr7RYaIdQy9wT4QRj55Eo5DUi48y0lm3n2F86zd0Uj+kJxXe8ss+nvzpksRcSKY9BKjN7UmTujbObtBxPrFj2zt/SBZuXvZFe7qyo7Hk29lpn47Dz4+6CXGQ75xVSMpMndnV29bgYkyuiCnBhEOb8cHeVQtEDlsvlPHjXAiE9lAoKgHpPPr2PuXUzF3757gd/5sSJMwS+ythHFFfcN8TWJbYxjnuQOzIV5wRRYW93TNgqiZInTirArs7+djtc7HB3quDOdzbImVs5zL2KwfNxE+XICU/ZzOXhI4J9R2toQoT0iubcsnrQjR+E42qUX96tRSlAjnDkiSicjKLdLPXAeFy2PWLnpiGLe+qYNLAsnlqZ4jkuTsmebqFXXi8kHQcsY3NT+uRalnMj3dhGaXvR6HxEdnFeSjIqwK1FNksl1+RiTKqIMTyYEm9VDqi8N/6OMaJ0ZwQgPDorZ5jbePnPXHDxLY/Pn9l/xIvilP5guHEU69edPL1IqxlWioTE+F/jOf9y+faY3h5/LGaFUAV5VZ4Ix5kQTrBZAtoyONkoYNcHd+/ZltbKBbcD8my/ej8rDc3ZW2WvPS9GqZjPfa3F/oU6BKU88R3rsnLBsnpcxCpWKtizmsjQ7u5meRlt5HHRuog33tTnoWcboH2S1GpxP82yu2lVKpXM6VpyGciNcSSKI1dk9jzPXsv8LrL576YwIVIFUucrrCmIqUz4uM8zlnba24q2Fxfc53Gdzk+ookgqSaFIRgsombzO6NFGIdIjnuvHkgd0YxbX/4xWcj9gzlyrdPcYqPPX4wFaDmixBrALNlfCacJ1wJ3NJyy37WA1sL1yQFAx4s3TGcgTK09UTL0R8bW9ik99pclgGEDDw5MCX1Slyfjnd7/zmgBnTH+PWYauLx4nHpMtj7e+YshtX+3z4N4A0/QZpCGBoLjQVPH3Sx3srKUFyN2chQ0+swtMWTZPpdXj2mHtPKjXWXAps1HZMgNuGehWY6hSd5dxgX1PFEB3wb0mwM9Hpu4xVvleSFldDBovTWOSNEaQUvNFsad6+aHyf1uc9w881/vj/07+xcbliVzjeSFFRAlqqZzdG5TIalNKcJcgz8tmDZ5XjlD2sk2YPFUFul+wtb0rZQPMIIiIo5Tb7m/w7LEG+D5CqgxU2dwQJ7gUsnr8xNiJyJFdVshlNT3uKDyTb9snC088TT2iyOPyCxJef0uPJ47UGSUBqfQZaEWQMvZZci+cMQa3j2bss6Dyi02jlZ0xaQwYKTAKpCn1eLGiSpDamWWoy1VDjgN8PC5hDPjnyXSeD18FIp1/0w4NUowiiOKUKErxPvGpz+F7iqXlDhNND6XEcy8V4vwvV3vdq8fvrsXcVVDnjO0GmOUOBKU0cazCgrFzgJeTUwuJkjG3ZWxTMLVXPJbP/Sy49FRMGEQ8fVRw+1cb9AcBNH2kyCsHcezBNbKYzvd0j1Zei5L7rNVB8mMJH6cAK4p9Wq2I19884tN3D3niUAhewFBLgkyLK2032HWlgUgp5AHpWAZRlU6Opyili7Rsnq8qeZCvjQW71GWiTWjXTcnOuS6ZfTzHsQrgY6Cv4Oo58Ja/kVf52HgxZO+zT3D40EG0TvHay4sIKYiimDCQqw34tf7p84B/Td+7+OCicgWvyeLSAburuQuQW73tZjOVyioMs4pC286VPffc+eBj4M7ufj6FNivw91Ri716M78ckJuXW++rc83Qdah5I29DsOyW8ldJY9+6+WONWmalNXs5K0YycmnyuSQn00dDn5Vf1eeNL+jxztEaS+BihGAgPP6X4TCItWbz8CGszudvMolTO3JbN7WuB1KLQ4YXfnzN6vtpmDF4M7RwDdyXgrIDc4O6AIVZDzQHzmkey+KHRknilh+hEgMHTiMyeybbgfq41YY0PsPp9sYqxy+f2hXQB7rR1uTsLVIBdkSpumt65qzFwK+fulZug5oD2HVDnzol1TOyjUjGBH/P4EclHv9wCApA+Qqiii0hlG6m6WVfXESrFnRgDGJV6npK5HQ1uhN0RQ2V1z8U+8R7GeLzzVQPuvH/IwwftJIFYK/qpyAq+MtClOXCcOpAxUBhjLIs7QM9/qjLQa5nt55MHxbn2lhmbC/tYnEPtDOyUzsVfSYCVkqQ8Xs8VaD6Xb16+qw2EWc2/MeCFvu3IFth9xcXYITgvyMeeVA6gA+aqBnemrI7p7lKqiCxZUFpPOcCLOXkuyLPWtHKzKbuzQzkAvwR3hbWdx7yxNpcqSiX4fkKcJtz1YJ2nDtTB90Ha4DIQxpkc6wZWYlVgtdYK6BaqlQVQuatBVYtnrWxaZY5K6jGKfK7cOeTlN1oWH6SWxUciYKjBS0UZ+KW5XWgBUkoU+wGqWersubHH0iiDNAJlsNlPY8nQCFujVEgVJ6gs2Ts7r9q98J257mvkQexRWg1klyzGb2bshTH2POTJK88WVgkEkiS2j6tS8s9RaVIEoKv0VG4JiUKqlNIkX6qqjkl1j5ix+hNBsfdOsXtx3nxbaXgoty5RagzczlD8wj1RKcpzAJ5JlMCL2X9a8MHbWoxiHxp+Jk8oWtOUu0twceE6J+S5JMp4RaYjU9xqOW3W0uIezVDyg6/vc+s9TfaetBdfqhX9VNkqwzRL/uQ2WipKt8JZSUwOdAfg0pRaXGYaXWqDkfYcGSkswLUTK+VMnpdYO8F2hcgcQLsevUuC1QTQeRVecTHiHEdtwAi7s4gxGvUHv/e7Gzzf+3+PHT12mSBjoXGgneeuhKuTxyXF2F6V4z/L35f5OODsMRsPXAB37J6PTHA97uLRK3W3dVCq4Hb36imLqbLdH7y4aGbwvYhURvz5Zxv81e1TEIagaijl0VCGujLZOAqKBmffaY0rM6luIkpSToalEqCWsURpO+YXrZBkjb9lL6SSBmE02zZGnFyQPPJUQCLs5AEtFELYUtq14p4qYISTHXReG0fUmJLsSvnidHNRLTtwO7vWvLv/jeMmFaWvVB/XGqRf7hjh1O+YMkmmNVyy6wUbr37BzV/0jp84PjXod9+gdYLvqzU/0HPdqprJ0VKuBeQ8LxMArnsyVoPisnalDtxUtLcswFBKEuVob1Xs9OBsRKXMmCTJKwVz9o7xvZh9pyQf/lIjm79i2bvo3M//vqAyXlg639sNNIX7ogDQGDi0WxtSzhUsmmvz4aapIlWZFk89vufVfT55V4PdJ3yQEUZIhqmPR1Yvkh/rNDuTaZ74yaHqSCdjXxvsbKz8s8kMC9KANFa25LpbGvs3jM78cZ0FqJXVucrma0oT5z3cxzENnIfIlVWwgldBPIxot7tvOHXqxJQ3Go1IkrhoDKjsdHae4qq1gkzXFiw/sCiWnYpt5soSV8fK6nMX4LaLJNffzvMcyHm1W67BHXDbiaw6e7R2oFIalfvdKkHJBJXJk1QlfPa+Jrv3l9pbCmm976KDhjVPoGD8tXDPT4UJ88XZbUCueOLORCpPC1ubIssUfhR7XH7xiDe/pMfBD4dEqQLhkQqPgRB4aWbf5eRD7qi4MDFlCJyt88YIVN4AgJUmxphMi2d3YcoUvwAtLfB1LlMcH9wFuwvkVWB3gbyGNHFxNx47uENN48QQxzFxNMJrNhSjoZ2BDbYJtQx4zHMy+Dh7V3W4aweNf8HViYC1mxuqrJ2/zlk7B3vO3AXQlcvkpe5WeRCZb3EiNZ4sh+YrleL7MYdOK/7HJyYYSp98glbZNZ+tIG4NtKsnVxm5a98KAinS5Ia8ha1M2bsaXFTqU1LtkaQ+YZrwU2/r8Xd3NTh4ygMVg/aIhc9ACFRaOhrSDTbHQJ578wbw8gsue08am543mIy1c09cV9jcZH9HS4Ew5eqx2kzIgE8JcBfsq+O5r3McKSWLNjCKYBAZapHBy9P0NlgQmZdY1khUrpjxq2psGXGvUMYSOcXzrMptLQZ0gS3GWDtPpFTBrUuJIqsM7lX87QzMFb/buUvL4r4X0Yk0f/rpCU6eC0F5mTUoM3liKr538dz97hWWEmsyUeUEVVgobzxwezTzFH45f71ohpCKNPHYMjfix97S5bc+GNCObUBgjGSklbUN0/xzGEgFpcIuQV7+v/2Jyk56Nr+pfJSl4yOlKRncOOcuswxNweDnCTgdttY5mF0MnQfkFZkyBm67Y7LJHDuJZ5MmNjgy2eWjAZHrMdcYHSennJ3dD1c8F9WliAy0Y2AYZ+4c2CVrl1NaC/bOCu5LQDtM7umM0XUhTawc0Y5UyRk7KR49FeOFMR+/NeS9H5tgpH0rT4Qq5EnRVDxmiVV0dyHJxNgpWZt98mNbWoUu6POUvUFrXe5oVyR/7FbgNS/hJ97eY9/RgD/7rNXioEiFZKhtwClTCgYvC7Dyk1Wu1K5daUFdShZjMjYXpRywpGNLXU0l8WNlTFGXnuFBuyRXwYyo4gcH6GLtI1k4UFhSTg2kqSFJdTaP0eDNTqaQaGqh3Q8m/wAYUXS/r7qJKsiLD+h8qNVW0OrahNWFOWZMohgnyMy26Ha3DFSu66AdqZKD2WFyWVYHFrq7eLSzBpeW4e++1GB5lIPbAtyXVnt7oipPKqtObpdVVrbVZ8XVjDnIKxZXRZ5Qbr2ox+rEpURphdYeSeoxGaS87TV9Pnlfg8WuAhmDVsRYPT5eXSjGT+h5mNzmgcqkUF6fkgebJmPxAtCZT64NY4xtzydCZL0OmZSB8oJbA0sVuXIevijlnv0so5FmpZsigwTPEKNNTJxoUp1/tWydGV8e1pAk7qN0rjgBq9rR1gzI3LanAjDOiAhpKtq7tNJWB5X5cJoS3GklwMyDzHyfG89hb7+RcOtXajz4VB3taG/b1JDLk2q9SdGa5bC36/m7VvjaJJ6xp+MAuNtgu80Qxg06jUSZ0hdPUh9PJ7z4qohvf1Gfv/xcACoCITFCMNIeSgi7BUkeaIoS1ONyJbcGjbF2bc7sSpYyykinUEzaGS8V5jb2gjcOBnROYjlbm/xnpaW5FnOXmKribvxjQzlNQalsQOizhzXLS5ozCykTLaeOF1FUxlXwPXbSKu+NyZRxYBcXgTSlVBljbCHG2FtUgV26KNlrZfCyEWNSZo6JNJmudiRJ7phIR6JI656EfszBY5IP3triTDew+11LO+hdCcodG8bihVW62/Wdz8M2FeZhbJl1gF3ZajHfgrHSdW/3z7GPdvuTDc2UH/r2Hvc9FXLwrAQRAwqNZCiks4mUBVWODlG5CkuZVPx/kc3MzoPL5sI+z8Gcy5Z8JbY/y2e/i0xvZ8/z3kxRPsd9XrB7/vmy942oHN/8gs0z3htnFbu2S9atk3hpqkgSSZIY0tQgPFFaXbI8R2tdXePgdn/HBTQCZ4ms6u586SoOfFFf7TC3ygE/BvJiRvb487TQ3jmLe/k4YJWgZIqX2YJBEDNKNe/5yAT3PFq3vW3Ss9pbStu1I8r5K8VnzVcW92Jeg8ldnK+pH11wU9Xi1fJZt4zWtpvp3FFJNYn0UInHy6+P+PF3dvjV9wSMEmkzUFqSZK6K1ML5bNl67Y5wMLYlDefz2dfCiQ2y7noDRposwBTFBVAEncVFbyr1KiIXCO5xG5OynAdn+QVQ4C5vH8sy50rYGZRK+gjh481M+pjYoxbKSjWflC4wx5aMtYKBsffKD2lWFb+XLOgO9lmDvZ395+Va8kSaotvbbputHYnijP3NdXc247oILmWCHyR8+WGfT97TYBT5UPcK7V2wdxHYUrmv5e27y6q9r910XOkKz4BdSoOy+MqojNF1tVY81RKprVTJgZ4kHvVGwttePuCOewbc+bCytiEShCQWHoOcvLJPWVbyZWwtc4/FOJ+NzCLMQZ19Tgkq+375a5NJkxzo+fk1QqCL7QezwFOyJjmaHNDnBXnJ2kVjM2XWcxDBUseW+3p5gOQp6RQ3reEQjH2I80qSAuRmDUCvZnHh6m3XW5aOY5Hr32I/dfu60N7FJNQS2J4aA7oqwe1l4A78mJWe4db7Guw9XbPSRNiSWJFrb4EzQcqsAnfx3YrjIhygP4c+ycFtLGvmAdJ4CrsA96rhQGWNipQKqVOk9ohHHpdujPn2l/Z4cHdAO8rSr9rq8QhFvg+EJPPGK2W05ZpjsMmd4oKU1m1RWUtbyea5VMkSPiKrIS+ALorzrnGOn6mCdC1Qj+NuHH85wVgj3o6gM7rcDtyLIk2SWMovd+5ybLuxJXcczNUPYsb+sPvf2AORs3tepFRhb5EHlSWwS3DnPngZXMpiMLupMHYloMwTOa6LIm2nvCblLz5X572faGGEZ33vCntTam+5xud2viOVk1DViOdj70o2jjFQF0y+upWt2HRXa3Qq0dL64kpq4tRHKs1PvLXPgVM+7/2kR5yUINcIRkKidD5IItcKDsgLUGfAwS4CBfxFaSEXQBcWyDL/z0QuVcoRE7meNsLR3sI4bJzHBiVZ4GDK1eeuzMnlcPZBEOT7MIHXrAmiut1lzFNlKeo4QKVzInPAnv+Kyt+rZvkqDO4Glc57ucedM3s5Ey/zvsccE5mDW43Jk7E961W294zV4DF+EHPgjOSTdzXp9Xyoq9XsXdR8O6uLKBM8wv3uY8/h6yd5SgZ3QO9IFnduidZ5vYcDdOls3yitFpfSI45TWs2Et76iz2331jlwOjupZNlqIRggitVG6AwppgS7KUCduSVkyZ9iwcmdlDx1b9lbZWAt5UkV6Dmw5dgqXxy7PO5bFWxSZXnn+FcSTWh0oun0NF6Q4oW1kDDwi2mrqyWFC2xT+UPS/ePnAXX+IWSuucQ4A5qKPBHF7LvSPSnAnTO3cAez586Jrmy3IR1ZImXmmGRM7nkJo1hzxwNNvvRY3Q4Hl74F+Bh750VetnLSCYaLi76afs4RLr4esquEXgX6eMWcLGWKybYisbpblzJFS1IhUalEC0U88njNtRGvefGA45/3GWmrw7NKKBI8hgKkdratEqIwsPPUjyqWodxRyWrFBQXwjRAl2Rt7To3IAs8K0MuMqi6SPeWsHCGwZb0OjnJ7sPidTNbgkGx+TuzxsmaJUoogCPDWrd+6MhyNbmvUg+80Ol3dZrSGPhLnAXYRlLqSZU39nYMZZ/nKQe8wdgHsHOhl2WjVOanqb1Wk31PneYKUtlNHBgl3Pxzw2x+YJDVe6ZxIhRDS7gMkyrR8lcFdx2dt9l4rd3BeZOcMuEqmmIpc0eRTr7JiLFE6KoUml9YbF9ojSTRBkPILP9xh7wmPux+S6EBkkLVfINaKAa6gMo4sWUOTF154ttrmnzcLKHMdLrILQFOOkjAuHqD0yceaICoSpbAIq8Q6jsH8IspzN57ymJiYuG3HjgtW1A3XbO312gsHleTHtY6LiVHFrLm8LFRWdeh4prHyO3kwplYXTLlFUq6nXVYGuhagk8hxAsqioOo84HalildJ6NheyxNLgt/+4CT3Pda0Qk3adjSkjycFdQmhJNvkyqyu3a7cs7ilGJJTHUaU17xLNdYwLcaOW8Z45UVvznu8c/lWtoQ5Us/9mYF1swmhZ3jwyYCVgaM9szAznyJeVhySad1KJPENXK3OhZBfLo70ygRJ2cnk/O64VVpuUjVeNSjK63CN37OVmAY/CDhzduGHHn/imb3eKLa/YnTGWMpUXAHGdVBFh1dlS4X1K9rbGeXlShM3wKxsi1GVJnINzZ3vMLDmXbmBZVYKmz1Pg5QPfnqST32liakpEMqiU3gIKSv9lmV/43N0zDvsUxyY1ed8lQduxl67gAAqgWZ1fmEWZGbzA03G3MboskZFSKRWpMJDDlLe9soBzx7yeff7PKIwqbgGRvuMyLqr8vx6ak1sgylBma3Qhiy7qbN3BWWwmTMyls2lqC4I+fk3OAFmjpE0/0iiuDir+luMBZzlpVRkRoU9iFLankytBV4jtB88TQ1JbFbV6BbX7ZjGLv9wFdQUF4epAH7cIiydE8P4CN4K2HOGFxnAHe1dYXCZOk6KC+4U6dSe3PlQyAc+32SYZlPwRW4NZllLYSrae83UvAv0yoU9JlcqYF+b/UwW3OXe86qMJmZVCa2RTmZTOs6KULYwS2bFWVKTao/Q1/zwG3vc/0TAnY9ZuzD3xpECbTxG2rajFUUk49ZhhtRCSgmBIpcmDsjzpgdHc+e/k4NWSJDGVEjCFMAtB3YWK8kaROsCXzsy2hjDKNIYbMGVNzMZI4VgFCV0uuUfGm/+XB3NjlmCY0AXLsjz1PxazkkOcNcedMEtyp291Codrqse+Dh7y7QMML2Y/gh+4/2THDoZYrxyt+SK9s4lUgXYY4BmDTAXEHZZYRzlVZBX+gmpLtMGt/jK1eOra1O0zCoOpcviCpFqhPCQkeaiLTH/4Ufa3P9zId1h9mW0LD5Xiscwz7Dkxd26BLmRgM5AbSgcFpUFlEZS7AlsRK7DjZPkccyL/HcqeKmOnDYO2Avr1cVjsTI6OBU2yGz3EsRAgNF4wptDKAVpF8OC3VTYXW2dpWAV0Ndi9Oy93BGpyJQxNq+M3l1TomjHB3f6EjM2L5i74po4u/NmnrfnxSQp/OHHWzy2p2Y9b5kzd+mc+KIqS5Sosnax+qzB3OQnRJRDN9fi61VMPuaclA0QlMVMxhYzrao2FJbBi6BTSwvyVKJFdk8zqaI1110W89Pf3eZ3PzJFlGYsDkVUmKIY6VyLZ7l2B+SFRBFOllPY9Lhx2VyC0CVzy2zKrDGlbFm1Eq5ySMZJ9XxD86u/b4xh07opJicnSJME74UvfgNhrcHRw8/w+EO34Xk+bm3CqjBj1ZVVdVuqIHalyriDUgV0CXgzJlOq+zOW7J2WutxN6lTuWWBZS/niAyF/9vEW7YFvPcDM8yZr0rXOSZm1dEt5VeVzr9bfhaSrhGWieF05hmuw9iq8V4BucBNAJWvnO/2aQo+XUsXaiKlUSKNtvUqimKhpfvTtfR55JuSOryloJBlTZ59QChItGZLHFCXIDbY0lsK2tJ53Fqvast5cwujS3cjlS756G0oHZRzsNnmT4cVQYe4S6OOALI+gFJAmCTe/+Hquv+4aut0uXhAowsDWotSClMBTFJ7/eW6lJjfVZboyD5pVwM6DSdcSFOOyxJEkpUwpd9i1AE+rfre0VqAs9lW3gaWUCdJL2HPE4398dIIDi4Ftg8/8bvsoS/Z2HaFxaTIuTyrSZGxa01rM4B68Ve6Cy+JlYqVohGCtNP7YkKC8EMvoYlNZkUsVYRDSQ8aGnTMJP/WOLkfOeOw/KTCeK7AESJ80AzljICcL9FTBdJnfDRmLiyLQzGO5gsUd6ZKbDjmjjxsXRRxoSmYvkq3nWxuzCyKK7Ea3SnkI6eH5nq3WqwWaVj1BSM/WhRvhHOTy3LjLRFVvn0d/V4DtgLrif1c3MVKZDCmZ3NHdSmevx5M5JdCVSpEyIQgTzrQFv/G+CT755QbGV2U6PpMma7G3ci7A1c6JG4fkF/r4CjcG8jEar3DHGNjz91bXpLg6PAe0G4DmnT8yK2rKn2fBZ6pJ0PjSuirtkeTnf0dxdkVA6NKtwOAVTF7Kk+xCyx8z1lbSWnM5KZq8LkWUxVZFkCmtW2KcBhdT1KOUODLO83J1zN+vMq9LDtpAb6Bt446x9SjS9wRhEJwJA3P7unUT2VyQskt9fExDxdlY4/1x9yP3sHPXo/xvS+DmHnfFIVGlNVjUneQVg2Oet8yDSZVkz22tSYTms1+t88WHGlmtSW4JyozBc/Yudw125w1WsrrjzO1ocZyfjRNMAf61VsSKx+vcyZlblIGb00aWOyiuHreb9crKjBCb9VTZe/Z5kngII3nti4a8+ZY+gUggSUDn9xhMgjGGxMBQw0gLIg2xFiQGkmJIPyTZHptJ3jJWbEWY7VaRAS/NsrLFo4Y0zV+bbEvDEpjuv+X+d+7enu72h4mG/ihlYmqW1Mjbg7B2BqGQ03O7OHn4jiOSwX+fmt6AJ6OyYm+8ztoZ21ACNv/ZWIGUympEhJUYbv2IWvVvl6WuytHZsuJtl69LKeK4Jip3TWy9SSI0n76rzrvfP8GJBR8CZZnbCSxFBu4iazlW0ViJIyqzT0QFwKU2FBVQVyL+/JlZE+NjbwoH7GKVJCkAn0/A0tJpjJB2x7GsRsWm+G3nj05ti1s8Umyb1fz8j3R4yyv7+CIDt3GAbhKM1hbkBiJjQZ5kYE60IDEl0NPKcxeg+e5xDlj1ahDbu8m2FjfVTWrXArcZ+/dSGA4TNm/eSLcf/fe/+fgXj1x/zaV2j54oSuyQ9Th1eulMUVRjz5iuntRiCXF0N3kQ5vje2c8qEmWtwFKM7YGeyxRVuibSkSI5uKUTUOaWoO+nHF6Q/Nknmuw9GEJLFaC2iR2rvXNpUvRZMu7Rs3bHvBNs5uFYmf0bY+7K69JFWSvZY1lbjyV8ShdFFhm/avpeCgtyKUzhjYuc2bN6AiG0nXplrDcejwyX7Yz54bd1eeipgCPzzlJVBJ1WhiQIhsIGl2Qj3Ix261BKXV7UqFRVj03XS/szYaqyr5Ak7vumtP8qwaapLpLlipclkXSKTmN0mgDZJlS1yWvw/DrdviDRx8jbmYR7YioB1Or9D91Ejgvsiu52LMEC3I5F6NqAogguNaWboosAs5AlxXuWvT2VstQV/P5fTXDXY7WySjDPWGbgVpJsh2J3DHIZQyjnBKxlC64F/HEL/Bu9VSYXjNelOCC3DoUFlM5mAxrhgN/JdEphbAJE22OthbKvhbKXkdCkfc0rrx3xL9/V4T+9f4rlQemmWCNeZCD3SKQoHJQc5GgLZHLAZ2SRf0ZnzyvyyVhG2FKQfMbKeFzjNknk9V8WjsY1TFYRCECj5nPtldt52S3X0Ov182sUas3NbL1g1x2dztJvI+poPXYycwDmaXP3PeVo6rG7q6HL6r9xKVLWmEjluiVjXTmrqgPz50kloTOUhvd8osn7Pt6iG/u2kCpn7sw1sbP7SuekUlTlrFDj2csKU68J5uqc628E6ePd9QWQ85+5botjF5aSxbUQxyfTWqmSt7flAzy1KffgbHnw42/v8hNv61LXCeg0kyopmNiRK1aTjzJNHmf3xAjiXKKYTIsXksV9vYZ0ybW5IzsKWaLXeL9IcrnboGcOCoaJiRrzCwu/ffWVu+646MJNJcA3bdrIZ/72t/sryyuHDT6iYFxTWa5d77osXXVqth1WdoFd2ntjVmCltaxkbFeXyxzQKs1kTJ7IqTK3lAn4mmcP+vzNHQ06cTYZkxzYXhFgCjJpUtxNRXsrB9Dny14WLCJWv+9G/t8I0st2tTHLMA80Xe1dXAROU7Krv1d1/riBp7L6XCu0URitSGJFyzN832t7XH7JCJm6etwFe1qC3GCDzgzcicl1eRZwjgebmlUaXI/pc23Oo6+d5xWg4wAeG6jWAo+VpeXD//bnf6O/cePmEuAAL7rlDdz88u9kx44deDJyTmLVxltdyjqWhaw4J6tT7JVgU4yD2YwBu3RNpCtP1kjFe37KM4d8fvq3pnlqf4jxZSlLCgaXji1oikE+4zs1rGUNriVTKokdgfNK/M/JFVN9WvXFx+3CcgvuyiauTt9mMTDIyMIfN85kLK1VNv5NkRoPHSmuuTjmj35+hSt3jiBOS5AX9zgDuykCz6GGSFuQFw6LKV2VCps7DK7HmDsHugti4zgvrmtinJ+7Em4wSrn4kl38wPd/N2//ru8ojmcB8CCcJazNMkpbDEcqW6JdR8FxScbfH6v4U6LK5uVFoQspcl63ZC1pIlOkqII7twMtuDVdI/njTzR5fHdIqhzWFmW9CTi2YAXUVeckZ+XxuYOrxkKM++LOBfCNkLcZA7aL8GI/dofVVzP7asni7reZT6bN61PM2GQsayHanSNEKrnu8hH//K09WjKFJF2TxTEpaEOqIcrY3LUPE52BPJMs53NTUleGmKoT44LaHaqpxwFvymMY+jA3W2fLpjk2b5wtjquXP4l1iKR+IDWTB6XX2ilED6VK86vca9zttKhmKQtpU6k7qbagicwtWfWzjNGFE2iqPDspNVKk2YWRgV0kKJHi+Sl9DX/2ySYf/WKTUQ7mMeZGSGRuC8pSmqzaZ8dl73HGFiWwq8mcqj1YRfbXkyfj7F2Wp47rcA3FKOOqN54D3qC13bFDZkkgYQQiq1ERRtpUuDH2uc6CTmO7YAJheMdr+uw+6vFnn2jRi7EHTGdUmD9mDWyplmUgmaXqde7dZ8fWls3mzylmG+ZpeuMc73xAoY0ps+blsSNZeZ6ZUqnRzM20WD/bPDjZCg9g4tUMvmnTJjpnv3L7BZv9D12wtUXoR0WZqpR6VXFU0ULmsvNar1XWMOzUk7iMLtV4NtJh7TGZkoO7cFC8hG4E7/tUk//8vgnOLfpFbbdba2LvwmFvsypbuWpmi+OoSMbA7r4eY+3Kz8RzgztHtVtoVbxXeSkyRh9na8cfzxmbqmRxnZWqLleVrQrtCDjFxlnNL/1Im3/21i6tMLEGs0kdJs+kiknBaLS2erwqV0o2T9dic1MmgaqBpxtglv/NWqztMnpvoAka64hN80N//Xd3375p0+bVDA5Qrwk83/9cLUzfMvDVtUmibe1wsQSPVQfmr+VzMLcTsIoKm7ved5W5pRgLMHNbUDjlrypF1gyf+lyD3/zTCc4sZcmcVexdzVj6Iu8aKp2TiucN5/G+RQW8bilxCWzx9Qj767J5ZS57IVUyTl8zdW9T5XaqlLDbaIsS2MKUnrgQOWuTPcrsHFoWR3vEkWHTdMov/WiHxY7kQ7e2oJYtHauY3N40khgbFwTCKbrK2Fxlq7+bws/nrwhT1q6Y/NibjNklzp5ApVWdP83zNMoPiLR63A8anxvFg8oxle6L9dvfzINfu+e+E2e8hwejmv2DsgSqdIBZuiyOVy3KTOVq2zB7X612SUpwZ0BWDkuvAW4pU1SoOXDC4y9vbXJ6PijBLcbu0m6N6InSOfGyxMR4p47bCF2AOV8WKy8ydh7T39+gKinA/Jw/d7zvVUEVVAIsC6S1XBU38CwDziJ177B46jgsSSTZtC7lXW/qs3NbBFGuv3OHxQ1CLZPnqX3rsFhNHmf3xDgBqGMnJrljkjP6mC6vMnZef+MweKbRJxuK6Vr08B133nHfj73rtZXj6I0f2HXrtwKSYbtNGvetfjXOEjzeqDBePIUZY/TVrG0DuDyhUyZyCuYWGuHKFOFmLFNUoDl4yuM//tEUX36kZhsoK163631bzzsfA+HJ1Vp7rWE+ld9xxv2er5IwP0CVC2P898XaLkl+Vbh74awa6Zb744aCve2mrLaGQxi7MdRaRVkCCyChZZYkkght4yGhZR6ykgoF2p5DPTS8+oVDfv2n2/zyH01y6HRgGQKKBFAhkCXkM2iTLIbQunSrcvbOs+P2+OYHpYzpjBDk/fxFK0b2Qois9S37jRyPSQpeUOOiHRegdZltPy/Ar7jmlQjhRSf2neLsqSXSvL8fKvKkkBxO+atwACykK1OqgaVwdf04wEUpTSxzu68TlK85cs7jV/54ko/e0SAS2W5Uwu2vLMEtsexd1nmvsf22MKskCWuAswCw8zuuHficxO3+cIy+c8ALVmtx++iUzOavnTpxctBXMptlI4TUFsJaWJCLIhOaA76MYnPJkmioeQnv/LY+qYZf/sNJjp4T4GefyQV3vv1xBqfUiCKAzHs7NXbMm8kuBVP8MyK7NPJ/TpAHIfnFQLarsimOdU4Ggjg1TK/fzHe+5XVRHKf80s9+HYDXm+tATv9c0Lz0CuGdfaUeDjIHwmXqMVbOmRyzStIUYKYqc0TB2GYVc9sqwzS7MJw0vJdydN7nF/5gko/f2SCS2dZrYq27m7F0htdn5LOmNKmsUGOOSQXwVbZeRdt/j9s4rt268NVp+4zJjCkkjHAdlYzdC/1d0eEuyLNxsFlHqM7AnTcUJ4nB91K+7/UDPAW/+AdTHD0XkM1hrl6EdteE4thrJBFWRvhS4Fe+S9YF5LS05QrAAjvT3S4TZLo/j4+kgFRrZqYa3HjNjq9cecnWnzu92Ft1XOX4G0LNsHzyE52JltrrK5mmWaVacR7zwHEM3GUtiaPLc41d+OSOzpbnB7eUqX1eyJQEqVJOLSl+6Q8ns7h7kgAAKXlJREFU+fgda4B7lS1oi5B8We3SWYu9czC7+wbBuBQZ87/dY+bAtAL6/wl0jweY4754+abdgcPV20U9NNUh+mXFYblNXzHnMNfmukwAmaIC0WY6bXmtxEvhHd824P/56TabZmPHEx/zx4u7znS51d1R5rDkLourx5PCPbEeeOImgZxy2yIOgULWeBKk56cmqO/9vb+4o7N5XevrA5wMxP3e4Kfbw7kno9hD65zGXGttdZImDyCLgFKsDijVWlbgGLhz3a1knDkmmtQX/OmnW3z0Cw0i5QLaG3t0wC1WZyzHdXdVV5cAXWs8hOt/r6WvhaPl/ifxXc1mrkrqVH1vNwFUWIKsZvBqiW3Z+WP0eGazmvFMjXKsRIVOJV5qeOfr+/zoW3p4aVrah98IyDMbcWTKstvcTkxNNQOaJ4PcLKgbWObHSUqoh4KdmxtP9nvdnz5fB9qaAJ/e8t2cmg/T1vTFJjW+1Wi5/BhrXqg2OJQpd1n5eQlykbsmIi0Zeq0u+LyISmnwBLffV+fDtzcYyWyAonQB7bA3pTQp99VxAI0L9HIGTGWarhgDucPUrtZ2AZ3/wqoy2W8E3M4vVmSKw+qrXBNyX5yxC0CUG6S6oyaMWBV8lo9lMZZl8Dydn7G5tiAPteF7X9fn224ZIFJdeuMmtv64W1NepPZTyOKFWGfFWkYQGTHmsjg1LG5q3ynM0g7IBRAGiuuuutisr8Xpv/2nr1vz+HrnO/AXX/4Sknj44d7Kvl0mOtFURVd7WlQVuqWthUMi1wgkC/2e/Rw95p6kjpzJg8sU6WmEB5+5p8bP/cEUzx4Ks4bhNYDtBpYiz1aOB5bVRE51HIRhPIOZg9h1XMZ1SyV1PwbqrwvusTTmannieOC4geWYJ553sFcalE3lUVf0OFC4J3ZXYUHpsKDtxa+1KktYjcGkcPXOmP/2b9r8OwW33tOwelw538OKf9Bq7MDYzVMSYz1wjQ0wPWPQwhozKtfe2s6CJNPpRVMz+XmygfSG9et6r3zFTR9uNmrnPcbyfD+Ymd1i2vNP/v7WbTsXwiAmyPdzl9VpruPVf2qMsaUTNFYtvxzQJbBzcCthh/gIDz51d51f+O+TPHs4A/cqr7sqTYTMgkqcnRly/c04qJ9DbqzlqrD6viZbj7Hx2uh+jvfN2MtMZ7uvx/V6JWUPq7R34Yu7etzV3m7dilNqm3cIpTmTR5IrLoz57Z9p8x0v72dmtl5Dorj33DPXgK1jWcXmOmN0Xa1psZWK2esU4lQQJdAfGa644rKFe7/29O9fuH3reQ/1eRkcYNPWXcTRClH7HkzayXzuvAipyt6rGXuMvXMwF7ah+zpncAtuK0vgU/fU+fd/OMnTB88Hblkyeca0fiFNVg/vybtwKgM0vx7YXcyOWYhrFA86aP/Gdfi4fizY2vl5WZdiWb3IFFbYvPTEjViLza3OFlnnveuyYKRl9qxORWf2jBBZ9OpUyRDB1RfF/Od/0cYY+OxaTF65RGX5Q2PPWe6ZayyQfQFetuVhzu5GkzVuWHbXwv6uSAyz0xNceeUu5mYnn/PYPifAa82tI/TyP183t+FvBytnm4n2KbaoGPOyXTAL4VwAFR9cl1nQDNTFhZDJEiGt5r71vhq/+AeTPHM4WBvcjLG3HK81yRsYnMCYKnuvkiSVgHEMzONgp9r4kF8B1ZdfH+L5SO5V8oQSuLk1XPjhuPLD1eilo1KyvClkibUJHbDntuH/r70vD9OjqtN9z6mqb+290+l00kmns3UnxBBMCCAQQASvog6PAs7M471XeUbHQcRB7rjcq7LMzFX0cR0FHS+MyizCBYcrgyMwApddFkFIIIQsJJCtt/T+bVXn3D/OUuecqq+zkBDAe57n66o6tXzV9b3nV+/5rUq7YmiiAWHLYExQBMI9WYVP7q1yvK23hms/PQ7GgX9/JB/rxfU/wKQXpxf/Q0SBXRgQmQQug+Tccv7kG8BW2bOIHGaTNYL++d1TIegnF/fMqRw2wFk4zHKNS5/wPIyzyoYiK8uaiIZU1jw8FdiGDlwuY8ltqAQV8D0G7hH8+rEc/uq7TXhhuzTBp3Ft6lngpiQ26JjqwKSfty29Uw09UGAnDtiJJeUVlDXg6/EWp89hIcYOosW160prTzoNcJuDgRmXkHGcBDHQLR25ynEoubhQSAspzmT+NaLKN0hOTiHYiEiX5oFUQxy3sIZvXDYOzgnueTSHCBLkOo+ycYMK3GqdqKT84i1SI0AIwOeAbwDdl/GcHuGIOEfkBfjYhWeMr1nZ88SuwXGGGRqdaaef6wL124eqVX5BlDmjViqLH9GjcTLLmGubYWSGVoTEFkm9raQ3jUCk5kSB+94ns/jst5rwwg7lX0JhURFrKT4EMHKbmFE6KWFnpvRGuiS3QZ7s09h1jjP7D7Vx56P7jc6EgROGzlsZ3LW3obkPltTmzOThSe2KFSDBYv246FfRQFLTUiVY0VPDty8fw5knluGxyObk7AC8nKljmHT3jf3MywwoM4IyI6hID8OA1/Cf/9PKGmXhBXM7moaWLOiY8bnOCHBCchgeeAWRv2IXzb19G/WbEfgV+EGYkiqNWeva1G6txz4lline4+AewT2PZ/HpbzRj844MdJopUmdSqRwUJKA1NYEbnWNaL9Okdz3Kkky7lgpoE/juCIgPOSC408z32mIJl28rfbipI491xVb5E53EyYzfNNWIsKJ/VJCEqV5kOr+KoTdXAI8oeJVg2YIavv/fxnD2ujK8SIFcfqxgCdNJKw3oQq0YMaFCLDNgmgFTEcFYhaGjvQnvObV/2xlrenZt3bYDhVww47OdEeDi1/FQHb1zRyE3/nGvuAj7J8ZQyFasisGezEWi8pPEwGYpIFe0JhRSPcPBfILfPJHDX36zGZtfyYCncm4FaEVLbB9vj9TP5500x5sfJ/2cgcjUyaYjyW3wcus4sb8+vHliRW4aYtx8w8ffoBRmEkPGMRrcapAgKdGtdMwmsLX2hMSSW3kfagmuBosCvPBI5BWCZfNr+M5nx3DWujJoFInQt5k0K67enJl5WSJwzsA4F4aiKkOxOIHTT1+E3ePRx6+79ZEdge/hQM0/0AGzZs/D7oEptLQV9mzeGDxYHf7d6Yu69iMkVAKWC00qVf7hyi9FTB5BuNCAKs0KjYQenHDQLLBzxMejT2dw1Y8asXlHBjwzg44bNrgJYjdYH0hE53gWNbGj43UO8wTg7UGgUWxYM3VSTZOuGINDpTewpP8BnrPGNI8vxA0+rlXiDgcXE1RiHMMdLg49yRTS3taPC+6uJphCzRq7ABDJ1UVaOJFugtv+4JIBUwKQGkN/Tw3f++wYrvxRI377TBY7hwFk5I1IPMT/JJNaFWIsSczNFQ2lPlAN8e7VHi67aMGDCxedtgeYBCGNBwT4gSU4gLmzi3h5y2Nb+npmf29l3xkYnQgQl+cT0tun4hMnvnTpiEyGqYw9OY7Nu3xc84NGXPb1Zry48wDgNlWDsMGtDToStGaOE9O5SoHyYLQnCWmf6mdCLC1LQqy7/WnAdo09BuDNJdx+y+fEsXoCgMmtVW0fxIOBcZeHU/mJo36sDFmmhDcjglIked+CGv7uc2P48qXjWDqvJgg1HF6uKYkR2JyQ6FKqRyLudn73qZgudX7vkUcf2XIw4AYOQoKr1tO9CH7Q+sTEyOjtfPKF8332DAj1pNov9haEBBnUthn5QxhAAJoFtuwKcM0PG3HbPQWUIwpk0yeQSc2JUMZTYpvirYklHGAb0rten+3+GgNVd6fY4GPqQnBAEX0ILQHqhGUS2nXUctIiCtjSM9CS/qofhueh1JiACEulBD2Vbw8txUlMZ4iS3hKzkDEATG0TgIYMnW0RPvLeErIBcPUPGrF1VyCSfFr/oYyh4lKay/uPpYbEQFjCyWuX4fiVx93eM3/5E7nh8YN+lgclwQEg19AJgh07Wuac+pmnX26+Y3A8h6xfhefVEHhV+F4NnlcTS+kkZfpzE8KEu2NAsHVXgKuub8Jt/1FAGSa40z7ylaW1KdCOVB4R1klVrFXnD3ToiLWkdfoNIFs+KK6ET+Hq+jBiAP5wkGyc6wY8mIfbWhR7Uqn7UvxPdC5DU/K7jljaccuU2sTSqJj7OBeusVr6Q3D2qEyQ5QwXvKuEKy+ZwKLumjBTqomk0rSwyJHYNYBVgagqltUqVvQwnL+e3/GOU9d9ZtOekR2LF3UeeYADgJddip3b7925ePE5G5qblyJiVRAvBPeY+FAOBAw0y0ED6UpLpWeMR0AzBC8P+LjyukbcenceZU5lsIIL6mTYmbpVCiRKbCu+beX11oDkicyw0BkCpEN9Yn8S3AlaYkLSJduHKM0V97Z4uLM0M2CZwcfmfjusjRh0RRxma1jqAJ3FE81Yo2IkD3I9Ehk1zPqe7uecgNUI8pzhonNKuOqSCfR01oTvLBe2SkVZSBSBVCPQMITPawhQQ8ArCHgFiKqYP2cpTlr7zg3Pb3hg59r+eYf0bA+aoqi2oLcHwJJra0PPLLr6R2MffuCZURBwcMZQzDF88MwKVi+tob2JYcGcSOSqg/AH/t3vA1x/awH/+548qoQaJZXrAFvREkMlKHxKHGulybetdScUDTG3Tvh9m+sGyC2J7Ehvd6JpYvxQmwaiRT+UxsQANzHN9hKYhFv8mssDdP14QKdY0ME7nIg4Ys4lBTHfBjFdEV8cBzKLqhKyvI+MtGGSXTBj4incOiKwEMj6DB9+VwlgHNfdWsDTL8jCtBC/34K5EdqaIpywtIYPnllBMcfBIoYoInhxbw827F16c++iU67dtGX3IT/Xw2KO5aGfIdveUFh34bN3bXzh1dMqpTEwiFC1fBDB4wwrl9Rw9aUTOHVlDREF/vGOPL7ywwaMTnioQVEO4qgBZwpgQBxbKaW3DmagtuUyjphXyYqcYAe1TY2BQAEqzf3q1sz6ldRYV+OSSguqR0m8TVU9TBF3SIhRG1Pu13nVSXxv1IP+bpWAyPPM++VyG0a2MKNIruyPC3fZOSLTy8PEweDK6uxp/yIn05jpT6T3m2pfFlNS7d8faUs1oQQ1QjE2QfGl6xvwT/+WR0SB094mcHLc4ho8xpEPxP8SMoJqqRmj5f6HPnfrR9+9tHP39NWXfOD1ATgA/OaRZ8EY+82NN9/4zpe2bcXTWxoQqckCE6+dtoYQV31iCowAV/24iP1jSmqn0ZF6AI8DGLLECWKgsRQ3K6OpbRNACjxKdUipASi9JM62esmQxACg0nPRIyZwlaXXADgV0s8FeDyojHujNsDNgrkxsE0gwwCs0U8RhwMaudsJiVPtmdXrqLtOZPYDnc7DjLxyAsSNdaK9RmP3C+FfFAmFA6WgPsHwOMWVf98AToCrPzGJ9mIEHgr3XC7KueHxTRQTlX6sWfsX9xJCzu6Ye+Jh4fSQOLjZ1q/pxZlrex+/7vOrSyf050G8PBAUAS8HEA+cAC1ZkSL3lw9kMD5K7ZzEFjU5ALghYl2VldIzAeqoAhNmd9g+4GqCbmaRnWkJIMHPlWggMA6qIzFI3T12s31N0iaSsLi2HeZmTwLqJe4EjwMGbDWj84HUjavJZJ2ACWaY8G3DUGz15HICqhTzLAKamzk+sL4CToDRKpFaGA+1MItyNY9KNY+NO2bh4W3nlUi273Ev13+4MD10Dq5akG0E5+P/gzeex18eGbmc+ttygeejVqkAUQ0nH1fFlX8+jtOPr2HunAjPbQowMOnZ+jhiptpRyn1z2zHm0NiZyrZWGnGVsGkIdcFqANbEnTbNOwBONdm7DyN1knnwL0cO2PaPxE5Y3BwwVIeWutDoM66nBw0hWnUoeHnssKXPVeswjEIQnB2MApQBjIBSCs6YTIZPZEq2WAsDEg8ECiK/Wwy7oXGK799awG8ey2Drdh9XfWIcJ/UzhGEW0+U8wpDhQ+88rszazvgOp8GX2loLhwtTHNjWOUO7+uqv8rYFZzzY2pDzAl47pTI15VUjhrXLRnHtJSM4+8QqMj5DayvDE5sCbH05AFfvYS2hTZfXdN6tAB5Qbuu9DfqhM1SZkt3k2Cl0hRj9RFIOYhyn4zEdzk0MOqPUioKeSC6OeF3VzaTWtqNy1NdM6TfVlnpffA3qeDgm140Jcsrbra6TmTlI65wHGMcRNUrF0jWaKbsIDwj+7xM5XP/zIkanfGzdlcGLrwbo62FoKRYwPNoE5i+uetll15Jw9193dq0OXwtGD1uCq8bDcrW7q+1rqHZWuxrGr5nTMUHf+44qTuqnqE37oDREUxNDdwcD5bHPcULPnTDwxE5UylrphpsJ+mH0U54Eif7xjKoUrjQ/wA/uSvZ6xCPWg6fsPJhnaXysflN6JyS53FaBEESZ2sX9qCLhFi2BkuJcp0lThhyACe0KE8/TCmaGKJUiDD0MFCIwgoLFGhYoyQ/tt844gaf0+4Tj1QGK8XFP1016+PkGXP7DNrx7dYBVC9vZiv7eazoaZn9rYmKi+lrx+ZoB/oXLLsTdd99TWr5gxe3T441X09J9WNJVxHSJI5uZRiYQsUZhpIxUxECZQUss/2BoaqJ9gmm6G6wiOZpXwwU2DEtqygfG7Tggj4m2WHdpTryRfC6HiG27OYBWF1MqQQKDe8vIHSZWQWQfYFATEMM3Jc5aa6oHGbioMU+TVEVYKSlAmFQLit+OUCZViSJrLVP1umXeFU6oBDsHJ0zr7X01mSIe4GVAgiK27PBRqDGs7FvDQ7/79ue2lEunr3//a4Xnawc4ACxZtAAk6HqJV7KX1Kamri9N30uzGYqs9HizQ8cVSlKktwQ7UcCGjP0gaiik15B39d+WCR4pgDYAmOgzkOm+jp3dMIYBUrqhQyGcQcBN0Bqg1mpvZ5+eTJLksQqoWu8NI8qHKJA6XJvEjlfKdG99D6fghKn8P7r4FYMMWCaxoYjqQUB1nEOcHo5b3FxPCKynJpKCNmQJzjxtLZs7d9Ely/uXvrTl5b1HApqHr0Ux26IlfehoerXau3TtDfksvSJTaEfgleD7NVDlY2AiRkEv1TQvBrfWd5uqQEVLEIeiJX1M7JdEOl1xJ5rEktxpkTkm/UgYhWA6xR6e7OZ1Ol1fcSsBp9tnaVckqKzjDYMOgwZdIqlnwtSvcBkn9NRWTu1ea7vcxudTa2mOaMIZ/KgGViphflcbQDNXrD/9xBuefXGguvK45UcCmkdGggNAQ+sKVEu7ou6lH9o6tLd94qEn9zX6eBWnvY3Dz6jJjsO/YUhuSD8TGK6vEtx1M1PB8T2BDWQrUyxBgiMnaIq5RNIlVuwn1nGuPwpS+g/UOI+vZwItluSx6ywIiRFtnmtYOYkhtRkBPGXeh6slkVke5Ber79aSmwGMcivZJqEQvxWXfrJaihOdcoJS+XaQ3rGce5KqUBBVJpERFHIR1i4fweyOOTj3ne+YOG/9yVs3bx+I1r2970jB8shIcNV8v4C7n5q8oxSc+akNgxePbNndi2o1gGTBSOq9Tf23AJQ1qYSpw1aaEoNPU2dbotv2RZlBgkvAJsFtgzR9ovkaeTaQENux66xNGczDXQluO1wZenLjJG5JaZKQ1mk1byw3WsTqv3QnLsMBCzFlsXxXpAMXmMwyCw8cAU49fjZ+9jfvGfkv55/wqa7Zu+9obMgfSUgeOQkOADRoBQBMTIzddOmfnuFH4+VrydTNHc9t3IkXtmfArVLapoegtACSWB3ousBa4DXBDdvAY9IU5c1hzWtRn2/D6K9HV1zHKvdaLujJDKMgTe1t7ai3BAA9mVQ7YgAD8URS+KPIqHRjUiomnlwnmI99VJSwFq8GyiEATJnUrMT6cQYY0p0aNy/05YTLQAmVRIhwkIhh+cIalvdVMFLqQ+f8cwb9xtM+XyrVbso2HTnJrdoRBbhqjY3NqJYn/oHMOpc+vXPHVz//w1rH488HYL6iJSquMk5Tql1gDXD7NIWaUIeLm9zY/Dgus3q/yc9hG3E0uB20EofbiHNSppuHQU8SLQX1CdWhnkCak8mYqsRghph8wp5sEqi8KaJP0xN1vnqDyEkoAIBRUMpFDm7pYUWpqO5g0hXCaayt4QQccTQQIRSo+VizLMLXPzmNDQOLBz/6wdO+ODEV/UNba/PRgOLRATgAZHKNuOr6f70hDLujqWj1Nwnb1IYaZLJ6JxuVBHfGMOSkgVtH7cC2ZLqSW4TPpdMS1ZJgd/anTTLdPmuFaIFqg//g0G55CprbDnA5d4Q3bHVhLLnjwAiiLxSrGm1Qx/GdIl2JuLiZq4WBS34tooMskDMlsUmcqFXlV6Fcqg0Bwhlyfogwojhp1bKRNb7/uXD05z9pX3Dx0YLha7NkHqjdf+fNWHXqB5/tmVd45awTps9tadiV3by7BfAymqYQIvIIZolKdSw/NAXcGsw8AWw94aQxGN0BYAdFxPzbznoFEBr3x16BsK2K1LVMSounadGkrkXT+U6SHICEOtvmMYA1GE33AnM+ofqtt5QCuqZV5np8YeuNZryWkv3xivWCMyfhSihII5LvA7c/xLBjdPXErPa+T2V88k9tCz6eqkA6Uu2oSXDVLv/QACvkCjePTXaE9z/JfvrrJ8s54nmoyqk6JcKRKo13W+CmtuROaE00MOKMsWkS3PxBTY5db13/bsb/ZPmr1JHqB8tSLBcU1x9FSW2oyaEkD1ptIg9zpLsr5WP9N9cUxJLikAdrJy1xnuDj4iKKqhBA+qLYdEWQc2gSL0oVikkooRxhmMFkjWJg8rjywNCSP3t275zbWDjJcJTbEdWipLXFyy/DzsFy1LeycBulyz7yx2f1lLsbJ+FjGoQzBATIanVgfXCLdRvcCels/ggu/aizT3dq2k0s0CY03CRxitFfZ0QcqKVoU7i7jyeP5zztGkRvJ3XjiOmI7if2Ph6XIISlB7cjenRhK2annohLFoqP8OCsYM8QsGfixPLyxX0f2TtauK0jPxhdeelHjw7ojHZUKYpq/+vHv0JH13/lf/FnH9h047deeXFt39R5L23dF+wbKaIpR5H1bMntUyNSniYpSf2iUXb5EZOSWHTGoQm2q61DIQiJaY90tlK+4BY1ISSdtmha4+xDChVRg4fEA8181Vvhde7SpAvGvcOlLCbVUecgfdIcD3RjKCvxTuwxR6T2Rl1bqA6BYqGK518J8R8b34HBqRUf++ML+m7paSix95139MFt3vnr0qZ334jC3F/g7244609+9cDI9b9/Yaw5F8RFQQkkuGnse5KgJM66ycvN/XTGZcylLa9CYngMyo+O1pFAjj0H7XUVuWPvJ8YAISnn2vcWRwrFAQ5uMHUcocTlOdw4J47+UZWldfU7/RyNY3QJGsNYpnO5q3O4HAzq+Sb368gfLxL3AxGRXwspivkqeKZ5iLResr+hZfXFLKo+1NmWfd0wd9QpitkKcy/GV755NkqVVf+y/sQ1l33yopOGe7saUK5GqEVirKkkmh5RlZTr+Z6YE7VkAh/A5uAWZXEloT7XkWIW8balGnEOsL5LtkOZPREYlMMx7rj0w066SaxjzbwoCeqjz0kx71sfJ70bs/s4p0a5ETP3uIyz9BgoQoR8FsLse4fzjWddwZ9cv6xYwMOFfOaoYsxtR32S6bZrrrgcADC6f/RnuYzvN8+a9bWdP7+/Y2B4Ej48GSYmJbiT4kE1ZaWcaUJoGoc0+BC/il2zvdWcySMxL6AWLk937kEdMqOhxzHRq6mjqSokxAAu0do+YxaZvJZptleBDOIuxTSVyCBlohylwKVfeXwXXEdNyF4mgpO1y7fQ+ymTkrgdwkE8DsYrCHJN6OldP+g3vucL4LWfdX1oAtYNv07tdQe4ai2tLdgzPH3jRe8/k7TPCr/6/Zvu69ixtQwaUPieUBkqzYnbNIdEzLtd+uIemzgfMajq6b8tM75GELGAXu/6B1vW23QxSftPOY+Lnmr/lDTQE8OYQ0yNS/p3KmMPMb6H21+tH5Jyq1XPLF4hsrIbg8eFX3hEI4yXmpBrf/9gT9c5XwRqNxIyc5L6o9mOGcABoKu9AM733XDhuWtCEma/fdMtj7Tu3jOEjMeR8WJJ4+b3UC3VxwSIJ1MmEFNoSmJiVw/o8q89cFImZSn9B9sSBhxHXWiOFy3FtfRXJ5gXFPstOmM8DyHB43OJdZ1Y2uukhobhR62ra1NC4THBv0O6ELMXrN+/Pzr1r373In66pv/YgRs4xgAHAEI6MT0d3nTOqSePbN82sLha7fn6/Q/8NhCR6dSqWS4qvEBKFXW+XMIGevwFB3EPiXuqf0z8huCxlsI4rq5/yQGfg32NA1IU50vqUZRYT8JTB038neoYJVhEDCUsSa94OYwEQQDnDJx7mDV3XY3S4HPdC9Zv7ckU7iTkmMPr2AMcAAoFnz31+013fOxP35t5/oXN0y1F77qHf/t7Mj1dohEjCAHwyP5tABt0Fj+GLd1Vfz3pyp3j4K47k1Nx/bQz4snnjBw/5ftNMFsDxgS0cp7SzDcd2PUbkb4p8dtRnOfwc8W/NT1TfDvm9REjqIXi4wcFNqd7FS+0LL107rwlPxkf211t7Tj8SPgj2V5XLcpMbc3x/Rjct7e6cH7nTf3LFq5Yd0LfVxYvnAOCKJZiUFqD5K+Y0HDIFffoepzenSgmJqMz0BdLA2MBm9T9VtNd1dyG0c+R3Je4CJLXSDhnmdexrhlrWnjKMWmDV6kJOSeoVDiCXBca2/q/0jpr4Ypccc5NA4ODbxhwA28ggAPA6uNXYOmS3tLw0ODm971r5dcWL1p8zUlrlkVtLR6qIRMV6wxQpE4qiSO906TvAe4jbfiYktn8LqRK9QNdD8nXkOp2rJOuGtBWIZL08w7wX3Jjvyk4rHIp3B6AQtcuEweREONlD4WWZdHceQuvYZnjvzY4OLy5Y3ZPqWveGwfcwOtkyTzU9q+/uAWrTnwv//QnP3z/r3/102w2y9btHRj3y+UqxkscgUe0flw115gDkgx6gGEdTH5mtmBaFlAaX8fqo47VEq5l09xn3DNS3jruRNi9XzjL1PPqBFtbT9u2ckL/P+Z+As9jyPg1TFd8cNqO7KyTKguXn/+N41au+/LnLnsPP2Hd+ccaNqnt8Kb8r1PjfARPb8xgTkf01eGBl075yW130Ad/F54STQ75TQUPjIu65soKqEFf54c3AZ4w/dM4FZsCrJvSTadwI651U+VLsS2YaaCmNKY+bgypaV211830bbGVU1kyTXcGSg1rJ2UJNwZbrWr0STRQZWDzRK7JiFGEIZALypjTmQuf3tr46MrVH2b9fQsfpV74xa278ljS3XCsoVK3vaEBbra/+cEv4QeZxunJib8f2rX9oomxAbpt9xSmKx4KGSDjc+1iq/TKWjLh4ADu5ikkFsCJAbwY0No3RUv2dPdYk6ungToeAEm3XtPUbgHeTNSpcw+aIK8DcPU8nPpEHOKYwOPIZiLkslXsHwNGJtvRM38W6+3tvKVQKHyiFoYT7fP/5FhD4qDamwbgALDhhW3IZHKzhgb3fubl7U+tfGrLwPm3/fpldOQDtDYQ+LIEIzM5Okz+nXR08jSgiJPxldjSW0tqYviQEMfvBDZNQQzoeKARC9D1JLjpr2L6pVjbiX1uck7ph6J8WhAbjVxDGQDpIQj4PkdjoYxcZgR7p/sxPNF7+/pT3r5h3rzO75ZL5aGmtkXHGgoH3d4QasKDbSuXLwKAIc43fvmUk87umf3bnaD+vPM3PrMRJJxANuNhqiwKoFIDUGpaxSEKNGkJjKQLtiX2Ee/QIWCGlsXSxRugjg+Kz3EliRk1rzUZ6p6khi7Nx9taGuup1lo1YGADWU8k1X+inKooxegEASU1FAuNaOs6HgHpvz0ae/tfvjQ8vqN3ydxjDYFDbm8qCW6257fvhx8ES7Zs3rKKh5Of2bF9y/qB3Zuxcfs+7B7MoSEHBJ5R0kPGIyojkUlLBH838nYbHn+q3/QGtCkMSVAW5SabruWJObhaupTJijoy0jgLL0G1bXsWqlTLSoILHh3nEVfegm69TQAIfIZivoqtuyoYGuvG6lV96O/rfaCpOfPd5vbeZ4FwCyFzjvVPfljtTSXBzbaitxUAtnDOtwDY8OCDvGv+WUt/9MRzTy35zo1bvYxfg+8BYUTstAiOGq6e+4+l2YCrhSBaYsf7zJLeDrgNqa+/WvuPiG1d20m+VlS8pLq/9CgdWF5aOogYimtzxC6tkPprbqRxIKhUgVqNoLUJyLedEK1aunZLayP/8/mL3rEHwOZ6qs83S3vTAlw1+QNs5nxwM2fRuyuczbv2S+tvfeShB5uGh14p7to3iuGxACBALVS+E5DvbQ5PessBturN3Ijpi0aqQQGItW6qEEkKsAHoSHYk+usYbUgscc1yJZZ1EbAMRMoq6VFYkpwxoMo8UMIxOFFDqdqKnu7uqUWr1o37+6YuaGhavMvzvB1vdmDrn+xY38CRbJwzAISOjU80v/zyzpNbG8s/fua5jeF9D73StmP3QOPASIQoEj92NqAIfCDjEwQ+4HsEnmcGOBgTTVWdwaApxNSuGHTFCoBIebqMqfmAQfMdHbxbAYI6NMWkJqqsidKyeJ7oCzyGTCA+gc8QeCGoLAg2Mp4B8edO8ELPSPvs5f7spuDjCxb2PJbLNYxxzhmNleBv+vbW+U8AEEJBCGFRrbS/e97cu1qaG5fdfMs/L/7iFRf+7acv7t/Yv2zWM16hpZzJFVGuMVRrDEzm9BBxoPHkEzCjs0g8qSSaiNgaEGprVBLxogbYGYco5MSVZZbXzTBl2s55PaplXDeSRV+ZNHtSGsL3aigUM2hvy5a53/HMuHf8xmUnXPS3995/8+J8vnFZ26w5dw2PTO0nhLylwC1/vrd2G9u/BZ4XkGee+Xfc92yHly82XufXppdt2rz9tN2793oBKvA8Uasxl/XheSJRjeLIvk/gO5I5noiqdaonn5Z1UwFbUowoAiLGEUXx9WEdH+veVZ0Az5TeRqo6SoW+OvCFJBfBvgAHg09D5PM+CjlgVitFc+vsqKWt56GmJrp5enrqknueiKJTTjoXYVjjy5cuPNY/0VFtb3mAu21gaBSFfLb11d1D//Ofb70nM7BnR9TYkHt74JM15an9GBufRKnCUA0pAp+gmPeQDTxZw10A0/NUJbW4qpreNrUghkWSMaAWAdUqRy1kunyfWylCvQ18zyxKJWNVpWMF4+K6mYChkI0Q+BwT0wzTJYJMtojuuW3IZflTPCr9rre301uw9NxqJtfx36Oosj+Xbz3WP8Hr2v7gAO62/3PnfQCwnpLwXI+XLxgbn+7bMzSJux9+Ee35CA25EPmcAOh0WYA7E1AEPtUS1/MIfI/CUyWIuASlBw1UzoFSBRifilCuRmKgUHVe/HYAxPGBT2J+TYGMD+QyHIxFGBmPEEUErU0e5s/x0DmrishfhXKtCOrnX+zqKNza2ODfzRh/YPHyM471Iz6m7U2vRXmt7Y/OOwsAHpgYH30AwIOVam3x1ldH2J2P7WH9fW29K5Z2fmFybA/KIcFDT7yK8uR+dLZlQCBK3kURAFBkA4asT2Q0uQA0pUAm4MgGHNkMx2SJY9dgiMlphlyGIhMImhP4YlkNGaKIGQMICCOOSilENgCa8iE65xZRnOzG2ATF8mXzUQgGvjanZev29p51FF4HJdTbCuCutra2Y/1o3xDtDx7gqjU2tQDAXWp7ZGQIQZBpGRzY9+iunQEmq6id3bjo8oYczmkqUhBwPPb4UxgeGQehHpobPbQ2AXuGqhgeqqCQo8gGBIHHEPgcXW1lTFQmccdjGZQms5jXBmQCgmLeRyHro5gHxqYopsseslkfzY0+Ap/DCxqwaMkqZDIe2po5morhPZu2TX27MB4Ei5asxJw5cx6oVKuj7R3tx/oRviHb/wd4ndbWNgsARgH8EgC27diDPmCTB9YZBGBRGOLZDZswsn8KhPrI5ny0FMu1YXrCVR2Z8ffNbuK1rnYPDYUIESPonl1CJRrBcccVEZaL6G4HIgYU8x5mt3lYODcKcvng36697oWrWpr8IJfzEXgcuWIRff3LkckEyGVBsxmyr2Metjc0vvnM5sei/cFz8CPZvvsvDwNAZzS+t7mrOeJdszwU8wzVGkXXrBJCvh+/eDCPqNqIrhagGjEUsh5mt1Es64lI78LGMXC+jzScd6z/lbdM+38rpnKAxWNKewAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxODozMzoxMiswMDowMK0M2zcAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTg6MzM6MTIrMDA6MDDcUWOLAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 69248209
    {'hecke_orbit_code': 144116287621041320, 'n': 1, 'trace_an': 8}
  • id: 69248210
    {'hecke_orbit_code': 144116287621041320, 'n': 2, 'trace_an': 0}
  • id: 69248211
    {'hecke_orbit_code': 144116287621041320, 'n': 3, 'trace_an': 0}
  • id: 69248212
    {'hecke_orbit_code': 144116287621041320, 'n': 4, 'trace_an': 0}
  • id: 69248213
    {'hecke_orbit_code': 144116287621041320, 'n': 5, 'trace_an': -4}
  • id: 69248214
    {'hecke_orbit_code': 144116287621041320, 'n': 6, 'trace_an': 0}
  • id: 69248215
    {'hecke_orbit_code': 144116287621041320, 'n': 7, 'trace_an': -2}
  • id: 69248216
    {'hecke_orbit_code': 144116287621041320, 'n': 8, 'trace_an': 0}
  • id: 69248217
    {'hecke_orbit_code': 144116287621041320, 'n': 9, 'trace_an': 0}
  • id: 69248218
    {'hecke_orbit_code': 144116287621041320, 'n': 10, 'trace_an': 0}
  • id: 69248219
    {'hecke_orbit_code': 144116287621041320, 'n': 11, 'trace_an': -4}
  • id: 69248220
    {'hecke_orbit_code': 144116287621041320, 'n': 12, 'trace_an': 0}
  • id: 69248221
    {'hecke_orbit_code': 144116287621041320, 'n': 13, 'trace_an': 0}
  • id: 69248222
    {'hecke_orbit_code': 144116287621041320, 'n': 14, 'trace_an': 0}
  • id: 69248223
    {'hecke_orbit_code': 144116287621041320, 'n': 15, 'trace_an': 0}
  • id: 69248224
    {'hecke_orbit_code': 144116287621041320, 'n': 16, 'trace_an': 0}
  • id: 69248225
    {'hecke_orbit_code': 144116287621041320, 'n': 17, 'trace_an': -4}
  • id: 69248226
    {'hecke_orbit_code': 144116287621041320, 'n': 18, 'trace_an': 0}
  • id: 69248227
    {'hecke_orbit_code': 144116287621041320, 'n': 19, 'trace_an': 0}
  • id: 69248228
    {'hecke_orbit_code': 144116287621041320, 'n': 20, 'trace_an': 0}
  • id: 69248229
    {'hecke_orbit_code': 144116287621041320, 'n': 21, 'trace_an': 0}
  • id: 69248230
    {'hecke_orbit_code': 144116287621041320, 'n': 22, 'trace_an': 0}
  • id: 69248231
    {'hecke_orbit_code': 144116287621041320, 'n': 23, 'trace_an': -10}
  • id: 69248232
    {'hecke_orbit_code': 144116287621041320, 'n': 24, 'trace_an': 0}
  • id: 69248233
    {'hecke_orbit_code': 144116287621041320, 'n': 25, 'trace_an': -4}
  • id: 69248234
    {'hecke_orbit_code': 144116287621041320, 'n': 26, 'trace_an': 0}
  • id: 69248235
    {'hecke_orbit_code': 144116287621041320, 'n': 27, 'trace_an': 0}
  • id: 69248236
    {'hecke_orbit_code': 144116287621041320, 'n': 28, 'trace_an': 0}
  • id: 69248237
    {'hecke_orbit_code': 144116287621041320, 'n': 29, 'trace_an': 4}
  • id: 69248238
    {'hecke_orbit_code': 144116287621041320, 'n': 30, 'trace_an': 0}
  • id: 69248239
    {'hecke_orbit_code': 144116287621041320, 'n': 31, 'trace_an': -14}
  • id: 69248240
    {'hecke_orbit_code': 144116287621041320, 'n': 32, 'trace_an': 0}
  • id: 69248241
    {'hecke_orbit_code': 144116287621041320, 'n': 33, 'trace_an': 0}
  • id: 69248242
    {'hecke_orbit_code': 144116287621041320, 'n': 34, 'trace_an': 0}
  • id: 69248243
    {'hecke_orbit_code': 144116287621041320, 'n': 35, 'trace_an': 4}
  • id: 69248244
    {'hecke_orbit_code': 144116287621041320, 'n': 36, 'trace_an': 0}
  • id: 69248245
    {'hecke_orbit_code': 144116287621041320, 'n': 37, 'trace_an': 28}
  • id: 69248246
    {'hecke_orbit_code': 144116287621041320, 'n': 38, 'trace_an': 0}
  • id: 69248247
    {'hecke_orbit_code': 144116287621041320, 'n': 39, 'trace_an': 0}
  • id: 69248248
    {'hecke_orbit_code': 144116287621041320, 'n': 40, 'trace_an': 0}
  • id: 69248249
    {'hecke_orbit_code': 144116287621041320, 'n': 41, 'trace_an': -4}
  • id: 69248250
    {'hecke_orbit_code': 144116287621041320, 'n': 42, 'trace_an': 0}
  • id: 69248251
    {'hecke_orbit_code': 144116287621041320, 'n': 43, 'trace_an': -22}
  • id: 69248252
    {'hecke_orbit_code': 144116287621041320, 'n': 44, 'trace_an': 0}
  • id: 69248253
    {'hecke_orbit_code': 144116287621041320, 'n': 45, 'trace_an': 0}
  • id: 69248254
    {'hecke_orbit_code': 144116287621041320, 'n': 46, 'trace_an': 0}
  • id: 69248255
    {'hecke_orbit_code': 144116287621041320, 'n': 47, 'trace_an': 0}
  • id: 69248256
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  • id: 69248263
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  • id: 69248351
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  • id: 69248352
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  • id: 69248353
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  • id: 69248357
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  • id: 69248359
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  • id: 69248360
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  • id: 69248361
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  • id: 69248362
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  • id: 69248363
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  • id: 69248364
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  • id: 69248365
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  • id: 69248366
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  • id: 69248368
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  • id: 69248369
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  • id: 69248370
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  • id: 69248371
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  • id: 69248372
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  • id: 69248373
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  • id: 69248374
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  • id: 69248375
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  • id: 69248376
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  • id: 69248377
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  • id: 69248378
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  • id: 69248379
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  • id: 69248380
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  • id: 69248381
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  • id: 69248383
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  • id: 69248384
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  • id: 69248389
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  • id: 69248391
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  • id: 69248392
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  • id: 69248393
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  • id: 69248394
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  • id: 69248395
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  • id: 69248396
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  • id: 69248402
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  • id: 69248408
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  • id: 69248409
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  • id: 69248410
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  • id: 69248411
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  • id: 69248412
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  • id: 69248413
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  • id: 69248414
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  • id: 69248416
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  • id: 69248417
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  • id: 69248419
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  • id: 69248420
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  • id: 69248421
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  • id: 69248422
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  • id: 69248423
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  • id: 69248424
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  • id: 69248425
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  • id: 69248426
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  • id: 69248427
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  • id: 69248428
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  • id: 69248429
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  • id: 69248430
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  • id: 69248431
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  • id: 69248432
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  • id: 69248433
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  • id: 69248435
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  • id: 69248438
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  • id: 69248439
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  • id: 69248440
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  • id: 69248441
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  • id: 69248442
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  • id: 69248443
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  • id: 69248444
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  • id: 69248445
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  • id: 69248446
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  • id: 69248447
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  • id: 69248448
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  • id: 69248449
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  • id: 69248450
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  • id: 69248451
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  • id: 69248452
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  • id: 69248453
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  • id: 69248454
    {'hecke_orbit_code': 144116287621041320, 'n': 919, 'trace_an': -84}
  • id: 69248455
    {'hecke_orbit_code': 144116287621041320, 'n': 929, 'trace_an': 24}
  • id: 69248456
    {'hecke_orbit_code': 144116287621041320, 'n': 937, 'trace_an': -184}
  • id: 69248457
    {'hecke_orbit_code': 144116287621041320, 'n': 941, 'trace_an': 0}
  • id: 69248458
    {'hecke_orbit_code': 144116287621041320, 'n': 947, 'trace_an': 80}
  • id: 69248459
    {'hecke_orbit_code': 144116287621041320, 'n': 953, 'trace_an': 64}
  • id: 69248460
    {'hecke_orbit_code': 144116287621041320, 'n': 961, 'trace_an': 50}
  • id: 69248461
    {'hecke_orbit_code': 144116287621041320, 'n': 967, 'trace_an': 2}
  • id: 69248462
    {'hecke_orbit_code': 144116287621041320, 'n': 971, 'trace_an': 8}
  • id: 69248463
    {'hecke_orbit_code': 144116287621041320, 'n': 977, 'trace_an': -24}
  • id: 69248464
    {'hecke_orbit_code': 144116287621041320, 'n': 983, 'trace_an': 50}
  • id: 69248465
    {'hecke_orbit_code': 144116287621041320, 'n': 991, 'trace_an': 36}
  • id: 69248466
    {'hecke_orbit_code': 144116287621041320, 'n': 997, 'trace_an': 6}