Embedded newform data - 1425.2.c.a.799.1

Formats: - HTML - YAML - JSON - 2026-09-12T07:18:10.354898

• 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': 5700, 'analytic_conductor': 11.378682288032454, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1425, 2, [476, 1027, 1351], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 799, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [4, 0, 1]], [7, [9, 0, 1]], [11, [3, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 137472509329, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1425.2.c.a', 'level': 1425, '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': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '57.2.a.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+2 i q^{2}+i q^{3}-2 q^{4}-2 q^{6}-3 i q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1425.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1589380895479326994, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.011', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.963', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '15.984', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.278', 'prec': 10}, {'__RealLiteral__': 0, 'data': '162.927', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.524', 'prec': 10}, 'traces': [2, 0, 0, -4, 0, -4, 0, 0, -2, 0, -6, 0, 0, 12, 0, -8, 0, 0, 2, 0, 6, 0, 0, 0, 0, 24, 0, 0, 20, 0, 4, 0, 0, 12, 0, 4, 0, 0, 12, 0, -16, 0, 0, 12, 0, -16, 0, 0, -4, 0, 6, 0, 0, 4, 0, 0, 0, 0, 0, 0, 14, 0, 0, 16, 0, 12, 0, 0, -8, 0, 24, 0, 0, 32, 0, -4, 0, 0, 0, 0, 2, 0, 0, -12, 0, 4, 0, 0, -20, 0, -36, 0, 0, 12, 0, 16, 0, 0, 6, 0, 4, 0, 0, 0, 0, 24, 0, 0, -40, 0, 16, 0, 0, -4, 0, -40, 0, 0, -18, 0, -4, 0, 0, -8, 0, -12, 0, 0, 2, 0, -26, 0, 0, 32, 0, 0, 0, 0, 10, 0, 6, 0, 0, 8, 0, 44, 0, 0, -30, 0, -16, 0, 0, -36, 0, -24, 0, 0, 12, 0, 24, 0, 0, 32, 0, -16, 0, 0, -46, 0, -2, 0, 0, -40, 0, 24, 0, 0, 20, 0, 4, 0, 0, 0, 0, -8, 0, 0, -6, 0, -6, 0, 0, -8, 0, 8, 0, 0, 10, 0, 16, 0, 0, -12, 0, -56, 0, 0, -6, 0, -56, 0, 0, -8, 0, 0, 0, 0, 22, 0, -36, 0, 0, -48, 0, 24, 0, 0, 30, 0, -18, 0, 0, -24, 0, 0, 0, 0, 30, 0, 24, 0, 0, -28, 0, 32, 0, 0, -8, 0, 54, 0, 0, -8, 0, 32, 0, 0, -48, 0, -20, 0, 0, 0, 0, 12, 0, 0, 60, 0, 24, 0, 0, 12, 0, 16, 0, 0, -4, 0, 4, 0, 0, -48, 0, -72, 0, 0, 16, 0, -4, 0, 0, 8, 0, 0, 0, 0, 48, 0, -6, 0, 0, -8, 0, -12, 0, 0, -28, 0, 14, 0, 0, -8, 0, 0, 0, 0, -60, 0, -4, 0, 0, -4, 0, 64, 0, 0, -18, 0, 24, 0, 0, 72, 0, -24, 0, 0, 12, 0, -12, 0, 0, 0, 0, -56, 0, 0, -50, 0, -12, 0, 0, 0, 0, 40, 0, 0, -50, 0, 2, 0, 0, 72, 0, -28, 0, 0, 16, 0, -36, 0, 0, -36, 0, 0, 0, 0, 60, 0, -4, 0, 0, 0, 0, -16, 0, 0, 30, 0, 24, 0, 0, -8, 0, -12, 0, 0, 6, 0, -56, 0, 0, -8, 0, 120, 0, 0, -20, 0, 6, 0, 0, 16, 0, -96, 0, 0, -40, 0, 4, 0, 0, 0, 0, -48, 0, 0, -36, 0, -36, 0, 0, 24, 0, 80, 0, 0, -20, 0, 4, 0, 0, -32, 0, -16, 0, 0, 40, 0, 48, 0, 0, 72, 0, 0, 0, 0, -6, 0, -66, 0, 0, -80, 0, 44, 0, 0, -48, 0, -4, 0, 0, 0, 0, 36, 0, 0, 80, 0, -96, 0, 0, 8, 0, -4, 0, 0, 32, 0, -16, 0, 0, 24, 0, -16, 0, 0, 70, 0, 36, 0, 0, 0, 0, 48, 0, 0, 20, 0, -66, 0, 0, 32, 0, -4, 0, 0, -28, 0, -56, 0, 0, 52, 0, 84, 0, 0, 14, 0, 0, 0, 0, 40, 0, 0, 0, 0, 12, 0, -26, 0, 0, -48, 0, 72, 0, 0, -14, 0, 20, 0, 0, 52, 0, -20, 0, 0, -12, 0, -18, 0, 0, -12, 0, -76, 0, 0, -60, 0, 64, 0, 0, -96, 0, -16, 0, 0, -8, 0, 24, 0, 0, 0, 0, -16, 0, 0, 4, 0, -4, 0, 0, -12, 0, 60, 0, 0, 0, 0, -16, 0, 0, 32, 0, -8, 0, 0, 60, 0, -36, 0, 0, -48, 0, 0, 0, 0, -40, 0, 8, 0, 0, -48, 0, -56, 0, 0, -48, 0, 14, 0, 0, -48, 0, -24, 0, 0, -24, 0, 4, 0, 0, -48, 0, 12, 0, 0, 0, 0, 12, 0, 0, 80, 0, 64, 0, 0, -20, 0, 24, 0, 0, 0, 0, -32, 0, 0, -8, 0, -42, 0, 0, -88, 0, 92, 0, 0, 12, 0, 36, 0, 0, 4, 0, 60, 0, 0, -72, 0, 34, 0, 0, 12, 0, 0, 0, 0, 22, 0, 84, 0, 0, -48, 0, -56, 0, 0, 20, 0, 0, 0, 0, 36, 0, -40, 0, 0, 70, 0, 84, 0, 0, -8, 0, 8, 0, 0, -2, 0, -6, 0, 0, 32, 0, 64, 0, 0, 90, 0, 12, 0, 0, 0, 0, 64, 0, 0, 12, 0, -16, 0, 0, 240, 0, 12, 0, 0, 24, 0, -26, 0, 0, 12, 0, -56, 0, 0, 90, 0, 16, 0, 0, -4, 0, 0, 0, 0, -16, 0, -72, 0, 0, 16, 0, 52, 0, 0, 42, 0, -36, 0, 0, -28, 0, -20, 0, 0, -18, 0, 20, 0, 0, -32, 0, 48, 0, 0, -10, 0, 4, 0, 0, -96, 0, -24, 0, 0, 36, 0, -66, 0, 0, 0, 0, 0, 0, 0, -40, 0, 26, 0, 0, -20, 0, 12, 0, 0, -60, 0, 142, 0, 0, 112, 0, -12, 0, 0, -38, 0, 64, 0, 0, 84, 0, 0, 0, 0, -70, 0, -48, 0, 0, -16, 0, 104, 0, 0, 0, 0, -96, 0, 0, -16, 0, -44, 0, 0, -8, 0, 14, 0, 0, 72, 0, -156, 0, 0, 12, 0, -6, 0, 0, 60, 0, 0, 0, 0, 40, 0, -36, 0, 0, 0, 0, 32, 0, 0, -4, 0, 4, 0, 0, 12, 0, -60, 0, 0, 80, 0, -24, 0, 0, 36, 0, 124, 0, 0, 100, 0, -4, 0, 0, -68, 0, 0, 0, 0, -28, 0, 4, 0, 0, 0, 0, -12, 0, 0, -132, 0, -24, 0, 0, -24, 0, -60, 0, 0, -18, 0, -54, 0, 0, -48, 0, -48, 0, 0, 6, 0, 24, 0, 0, 32, 0, -56, 0, 0, 60, 0, 40, 0, 0, 0, 0, 120, 0, 0, 8, 0, -16, 0, 0, 144, 0, 16, 0, 0, -16, 0, 108, 0, 0, -108, 0, -96, 0, 0, -120, 0, -44, 0, 0, 92, 0, 0, 0, 0, 40, 0, 44, 0, 0, -64, 0, 4, 0, 0, 30, 0, -16, 0, 0, -36, 0, 96, 0, 0, 20, 0, 6, 0, 0, 40, 0, -56, 0, 0, -50, 0, 104, 0, 0, 24, 0, -48, 0, 0, -28, 0, 14, 0, 0, 0, 0, -192, 0, 0, 90, 0, 18, 0, 0, -40, 0, -120, 0, 0, 48, 0, 24, 0, 0, -48, 0, -8, 0, 0, 4, 0, 84, 0, 0, -8, 0, 0, 0, 0, 12, 0, 16, 0, 0, 32, 0, 0, 0, 0, 50, 0, -12, 0, 0, 12, 0, 8, 0, 0, 32, 0, 0, 0, 0, -8, 0, -176, 0, 0, 20, 0, 120, 0, 0, 12, 0, -96, 0, 0, -48, 0, -96, 0, 0, 0, 0, 12, 0, 0, -28, 0, 64, 0, 0, 12, 0, -32, 0, 0, 14, 0, -2, 0, 0, 8, 0, -72, 0, 0, -108, 0, 44, 0, 0, -148, 0, 0, 0, 0, 26, 0, -16, 0, 0, -128, 0, 24, 0, 0, -160, 0, -14, 0, 0, -20, 0, -96, 0, 0, 120, 0, -86, 0, 0, 12, 0, -32, 0, 0, 24, 0, 84, 0, 0, 72, 0, 16, 0, 0, 48, 0, -48, 0, 0, 0, 0, -36, 0, 0, -80, 0, 64, 0, 0, 92, 0, 56, 0, 0, 0, 0, -66, 0, 0, -28, 0, -120, 0, 0, 20, 0, -10, 0, 0, 12, 0, 0, 0, 0, -120, 0, 24, 0, 0, 0, 0, 112, 0, 0, -6, 0, -32, 0, 0, -48, 0, 120, 0, 0, 70, 0, 42, 0, 0, 8, 0, 4, 0, 0, 50, 0, -76, 0, 0, -108, 0, -8, 0, 0, 52, 0, -36, 0, 0, 0, 0, 4, 0, 0, 54, 0, -8, 0, 0, -44, 0, 36, 0, 0, -60, 0, 64, 0, 0, -48, 0, 72, 0, 0, -78, 0, 78, 0, 0, -160, 0, 0, 0, 0, 168, 0, 30, 0, 0, 48, 0, 64, 0, 0, 24, 0, 24, 0, 0, -88, 0, -24, 0, 0, 16, 0, -96, 0, 0, 24, 0, 24, 0, 0, -54, 0, 6, 0, 0, -60, 0, -16, 0, 0, 12, 0, -16, 0, 0, 0, 0, 36, 0, 0, 62, 0, 24, 0, 0, -96, 0, 100, 0, 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0, 0, 88, 0, 46, 0, 0, -8, 0, -8, 0, 0, -88, 0, -20, 0, 0, -24, 0, -96, 0, 0, 60, 0, 6, 0, 0, 0, 0, -136, 0, 0, 20, 0, 0, 0, 0, 192, 0, 72, 0, 0, 6, 0, -86, 0, 0, 72, 0, -176, 0, 0, -36, 0, 6, 0, 0, -32, 0, 0, 0, 0, -48, 0, 84, 0, 0, 160, 0, 8, 0, 0, -36, 0, 84, 0, 0, -88, 0, 40, 0, 0, 90, 0, -74, 0, 0, -8, 0, 84, 0, 0, 140, 0, -72, 0, 0, -208, 0, -64, 0, 0, 12, 0, -36, 0, 0, 0, 0, 12, 0, 0, 60, 0, -10, 0, 0, -96, 0, -80, 0, 0, -48, 0, 24, 0, 0, -96, 0, 12, 0, 0, -16, 0, -126, 0, 0, -8, 0, 0, 0, 0, 12, 0, 36, 0, 0, 16, 0, 48, 0, 0, 0, 0, -16, 0, 0, -156, 0, 12, 0, 0, -18, 0, -126, 0, 0, 132, 0, 288, 0, 0, 84, 0, 46, 0, 0, 56, 0, 160, 0, 0, 138, 0, -136, 0, 0, 0, 0, -28, 0, 0, -60, 0, -6, 0, 0, 212, 0, 96, 0, 0, 50, 0, 6, 0, 0, 8, 0, 128, 0, 0, 100, 0, 28, 0, 0, 112, 0, 0, 0, 0, 56, 0, -76, 0, 0, 72, 0, 64, 0, 0, -32, 0, -24, 0, 0, 120, 0, -160, 0, 0, 4, 0, -36, 0, 0, 192, 0, 8, 0, 0, 2, 0, 24, 0, 0, -128, 0, 16, 0, 0, -78, 0, -54, 0, 0, 0, 0, 60, 0, 0, -60, 0, 104, 0, 0, -168, 0, -64, 0, 0, 2, 0, -96, 0, 0, 32, 0, -16, 0, 0, -60, 0, -22, 0, 0, 36, 0, 0, 0, 0, 60, 0, 114, 0, 0, 32, 0, -48, 0, 0, 36, 0, -12, 0, 0, -28, 0, -140, 0, 0, 10, 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, -1.4142135623730951], [0.0, -0.5773502691896257], [-1.0, 0.0], [0.0, 0.0], [-0.816496580927726, 0.0], [0.0, 1.1338934190276817], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.0, 0.0], [-0.9045340337332909, 0.0], [0.0, 0.5773502691896257], [0.0, 1.6641005886756874], [1.6035674514745464, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.7276068751089989], [0.0, 0.4714045207910317], [0.22941573387056177, 0.0], [0.0, 0.0], [0.6546536707079772, 0.0], [0.0, 1.2792042981336627], [0.0, -0.8340576562282991], [0.0, 0.0], [0.0, 0.0], [2.3533936216582085, 0.0], [0.0, 0.19245008972987526], [0.0, -1.1338934190276817], [1.8569533817705186, 0.0], [0.0, 0.0], [0.3592106040535498, 0.0], [0.0, 1.4142135623730951], [0.0, 0.5222329678670935], [1.028991510855053, 0.0], [0.0, 0.0], [0.3333333333333333, 0.0], [0.0, 1.3151918984428583], [0.0, -0.3244428422615251], [0.9607689228305228, 0.0], [0.0, 0.0], [-1.2493900951088486, 0.0], [0.0, -0.9258200997725514], [0.0, 0.15249857033260467], [0.9045340337332909, 0.0], [0.0, 0.0], [-1.179535649239177, 0.0], [0.0, 0.4375949744936837], [0.0, 0.5773502691896257], [-0.2857142857142857, 0.0], [0.0, 0.0], [0.42008402520840293, 0.0], [0.0, -1.6641005886756874], [0.0, 0.8241633836921342], [0.2721655269759087, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.13245323570650439], [0.0, -2.6261286571944513], [0.0, 0.0], [0.0, 0.0], [0.8962581595302718, 0.0], [0.0, -0.508000508000762], [0.0, -0.37796447300922725], [1.0, 0.0], [0.0, 0.0], [0.7385489458759964, 0.0], [0.0, 0.9773555548504418], [0.0, -0.7276068751089989], [-0.4815434123430768, 0.0], [0.0, 0.0], [1.424137989832624, 0.0], [0.0, 0.0], [0.0, 1.2874526191574363], [1.8599622199011085, 0.0], [0.0, 0.0], [-0.22941573387056177, 0.0], [0.0, -1.0256451881367414], [0.0, -1.3587324409735149], [0.0, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, 1.7669044171975448], [0.0, -0.4390570399587614], [-0.6546536707079772, 0.0], [0.0, 0.0], [0.21566554640687682, 0.0], [0.0, -1.072112534837795], [0.0, 0.0], [-1.05999788000636, 0.0], [0.0, 0.0], [-1.8869127060994528, 0.0], [0.0, 0.8340576562282991], [0.0, -0.20739033894608505], [0.618852747755276, 0.0], [0.0, 0.0], [0.816496580927726, 0.0], [0.0, -0.2030692330267238], [0.0, 0.4040610178208843], [0.30151134457776363, 0.0], [0.0, 0.0]], 'angles': [-0.375, None, None, 0.09593773273939123, -0.32469229636134017, 0.1564164790945006, 0.05926100763070609, None, -0.431535703932002, -0.0605594707954217, -0.22125897051224172, 0.11421328587706633, -0.35738835626136134, 0.01214724067116867, 0.03510670405078399, 0.06759908521341193, -0.25, -0.17604524758845672, 0.08126031309673272, -0.12387915348184565, 0.11130623771668237, -0.25, -0.46477404938141026, -0.3389038422446764, -0.483812368410581, -0.2341372412847232, -0.3788645028471412, -0.4845898436839169, -0.45361321046112885, 0.04553478526308179, -0.4858586827939774, -0.3461234650353532, 0.02045253259680559, -0.21599346574173306, -0.35530576302668515, -0.3027688951636682, -0.4872845299159291, 0.10777870669184113, 0.12261708486941722, -0.4106826926868301, -0.1890414679639577, -0.23815918598551486, -0.26730816738678337, -0.47700766076062295, -0.4886510645000698, -0.22164474474408732, -0.45704538359272373, -0.478620149717848, 0.1018900284727447, -0.16747154703321482, 0.05866573369815182, -0.1693852888050405, -0.18684300147020177, -0.08766061324149146, 0.040135290199882316, 0.11208388674167247, -0.06626614357718756, -0.19062439434893408, 0.06385708030214693, -0.24049997174152574, -0.4044927811585058, -0.4813615644228974, -0.4443736518911814, -0.21820190136814094, -0.43525734827160556, -0.4452949671637078, -0.19651105754580123, -0.3977410864819574, 0.012829718029374366, -0.366662180650961, -0.43923791109588095, -0.36466357047844206, 0.03347760799184733, 0.06797354544156319, -0.11000374455870701, -0.4417833694495357, -0.18791637719196536, -0.47189703819670376, -0.37321382198086445, -0.28976083313729367, -0.33123371592253514, -0.2422401886464237, -0.3213633956736315, 0.1073975452264858, -0.2883502993837299, -0.3114124354262846, -0.17177889804649596, 0.011176615340381807, -0.3894937062393967, 0.1280085044222029, -0.4356609618880082, -0.06655785446111863, 0.02900834066813478, -0.2788886182905034, -0.10673989192993136, -0.4101457127256814, -0.21443259426309236, -0.3550894676710729, -0.45048980445366205, -0.29507719207175354], 'char_orbit_index': 3, 'conrey_index': 799, 'dual_conrey_index': 799, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 137472509329, 'label': '1425.2.c.a.799.1', 'level': 1425, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 5700, 'analytic_conductor': 11.378682288032454, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1425, 2, [476, 1027, 1351], [2, 1, 2]], 'conrey_index': 799, 'cusp_dim': 188, 'dim': 52, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 137472509329, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 6, 6], 'label': '1425.2.c', 'level': 1425, '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': [3, 5, 19], 'level_radical': 285, 'mf_dim': 212, 'mf_new_dim': 52, 'num_forms': 16, 'prim_orbit_index': 2, 'relative_dim': 52, 'sturm_bound': 400, 'trace_bound': 14, 'trace_display': [0, 0, 0, 0], 'traces': [52, 0, 0, -48, 0, -4, 0, 0, -52, 0, -4, 0, 0, -32, 0, 56, 0, 0, 8, 0, 0, 0, 0, 12, 0, 8, 0, 0, 16, 0, 24, 0, 0, 8, 0, 48, 0, 0, 0, 0, -56, 0, 0, 8, 0, -48, 0, 0, -40, 0, 16, 0, 0, 4, 0, 0, 0, 0, -96, 0, -28, 0, 0, -32, 0, -16, 0, 0, -16, 0, 96, 0, 0, 168, 0, -20, 0, 0, -24, 0, 52, 0, 0, 32, 0, -8, 0, 0, 32, 0, 0, 0, 0, -32, 0, -68, 0, 0, 4, 0, -40, 0, 0, 8, 0, -80, 0, 0, 48, 0, 0, 0, 0, 8, 0, 32, 0, 0, -108, 0, 64, 0, 0, -144, 0, 32, 0, 0, -48, 0, 20, 0, 0, -8, 0, -64, 0, 0, 20, 0, -8, 0, 0, -56, 0, 72, 0, 0, 76, 0, 72, 0, 0, 72, 0, 64, 0, 0, 48, 0, -64, 0, 0, 160, 0, 184, 0, 0, -60, 0, -8, 0, 0, -96, 0, 128, 0, 0, -40, 0, -104, 0, 0, 48, 0, -112, 0, 0, 0, 0, -68, 0, 0, -152, 0, 160, 0, 0, -12, 0, 8, 0, 0, -64, 0, -104, 0, 0, 20, 0, 24, 0, 0, 40, 0, -12, 0, 0, -32, 0, -136, 0, 0, 232, 0, -72, 0, 0, -44, 0, 32, 0, 0, -8, 0, 280, 0, 0, 60, 0, -8, 0, 0, 168, 0, -48, 0, 0, 32, 0, 108, 0, 0, 40, 0, -232, 0, 0, -128, 0, -16, 0, 0, 32, 0, 0, 0, 0, 128, 0, -80, 0, 0, 136, 0, -24, 0, 0, -24, 0, -144, 0, 0, 56, 0, -272, 0, 0, 80, 0, -16, 0, 0, 140, 0, -360, 0, 0, 32, 0, 84, 0, 0, 44, 0, -8, 0, 0, 56, 0, 140, 0, 0, 0, 0, -64, 0, 0, 64, 0, -32, 0, 0, -48, 0, -120, 0, 0, 84, 0, 64, 0, 0, 104, 0, 0, 0, 0, -32, 0, 216, 0, 0, -16, 0, -160, 0, 0, -140, 0, 0, 0, 0, -80, 0, -224, 0, 0, 12, 0, 52, 0, 0, -72, 0, 24, 0, 0, 56, 0, -40, 0, 0, 216, 0, -48, 0, 0, -216, 0, -104, 0, 0, 84, 0, -120, 0, 0, -172, 0, -112, 0, 0, -48, 0, -8, 0, 0, 32, 0, -72, 0, 0, -160, 0, 200, 0, 0, 152, 0, 80, 0, 0, 48, 0, -248, 0, 0, -248, 0, 16, 0, 0, -120, 0, -80, 0, 0, 0, 0, 136, 0, 0, 240, 0, 184, 0, 0, 32, 0, 40, 0, 0, -240, 0, 168, 0, 0, 360, 0, 392, 0, 0, -40, 0, -24, 0, 0, -16, 0, 228, 0, 0, 0, 0, -64, 0, 0, 56, 0, 64, 0, 0, -168, 0, 40, 0, 0, -128, 0, -128, 0, 0, 336, 0, -4, 0, 0, -32, 0, -168, 0, 0, -96, 0, 480, 0, 0, -20, 0, 48, 0, 0, 0, 0, -176, 0, 0, -224, 0, -212, 0, 0, 16, 0, 128, 0, 0, -64, 0, -40, 0, 0, -216, 0, -424, 0, 0, -188, 0, 96, 0, 0, 32, 0, 152, 0, 0, 104, 0, 52, 0, 0, -264, 0, 48, 0, 0, 28, 0, 16, 0, 0, 72, 0, -96, 0, 0, -200, 0, 96, 0, 0, 256, 0, 248, 0, 0, 80, 0, 48, 0, 0, -104, 0, 32, 0, 0, 16, 0, -16, 0, 0, 40, 0, 24, 0, 0, 16, 0, 16, 0, 0, 16, 0, -88, 0, 0, 80, 0, 8, 0, 0, 144, 0, 104, 0, 0, 224, 0, -56, 0, 0, -264, 0, -376, 0, 0, -16, 0, 16, 0, 0, -64, 0, 8, 0, 0, -64, 0, 252, 0, 0, 80, 0, -152, 0, 0, -96, 0, 0, 0, 0, -144, 0, 0, 0, 0, 200, 0, 112, 0, 0, 176, 0, 64, 0, 0, -360, 0, -104, 0, 0, -80, 0, -168, 0, 0, 152, 0, 108, 0, 0, -216, 0, 80, 0, 0, -152, 0, -128, 0, 0, 20, 0, 400, 0, 0, 192, 0, 388, 0, 0, -72, 0, 128, 0, 0, -96, 0, -88, 0, 0, -224, 0, 72, 0, 0, 240, 0, 24, 0, 0, 256, 0, 136, 0, 0, -60, 0, -160, 0, 0, 432, 0, -172, 0, 0, -52, 0, -244, 0, 0, 256, 0, -40, 0, 0, 4, 0, -24, 0, 0, 112, 0, 376, 0, 0, -168, 0, -152, 0, 0, -64, 0, -32, 0, 0, -192, 0, 100, 0, 0, -328, 0, -24, 0, 0, 284, 0, 32, 0, 0, 8, 0, 24, 0, 0, -32, 0, -168, 0, 0, 112, 0, -112, 0, 0, -224, 0, -248, 0, 0, 144, 0, 464, 0, 0, 156, 0, -32, 0, 0, -56, 0, 64, 0, 0, -12, 0, 304, 0, 0, -416, 0, 120, 0, 0, 0, 0, -332, 0, 0, -8, 0, -200, 0, 0, -88, 0, 0, 0, 0, -280, 0, -80, 0, 0, -184, 0, 52, 0, 0, -64, 0, 32, 0, 0, 0, 0, 48, 0, 0, 272, 0, 176, 0, 0, 68, 0, 32, 0, 0, 68, 0, 168, 0, 0, 192, 0, -16, 0, 0, -40, 0, -384, 0, 0, 160, 0, -108, 0, 0, 416, 0, 672, 0, 0, 32, 0, -4, 0, 0, 280, 0, -344, 0, 0, 136, 0, -80, 0, 0, 104, 0, 184, 0, 0, 40, 0, 8, 0, 0, -536, 0, 384, 0, 0, 160, 0, 248, 0, 0, -360, 0, 200, 0, 0, 200, 0, -44, 0, 0, -360, 0, -8, 0, 0, -96, 0, -112, 0, 0, -488, 0, -104, 0, 0, -416, 0, -160, 0, 0, 80, 0, 256, 0, 0, 180, 0, 460, 0, 0, -304, 0, 144, 0, 0, 24, 0, -144, 0, 0, -544, 0, -192, 0, 0, 64, 0, -48, 0, 0, 64, 0, 240, 0, 0, -368, 0, -88, 0, 0, -392, 0, -192, 0, 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: 1393661
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472509329, 'target_is_minimal': False, 'target_label': '1425.2.c.a.799.1', 'target_level': 1425, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 1393662
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052519825, 'target_is_minimal': False, 'target_label': '1425.2.a.i.1.1', 'target_level': 1425, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 1393663
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660924985, 'target_is_minimal': True, 'target_label': '57.2.a.b.1.1', 'target_level': 57, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 1393664
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 799, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137472509329, 'target_is_minimal': False, 'target_label': '1425.2.c.a.799.2', 'target_level': 1425, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 1393665
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33558707, 'target_is_minimal': False, 'target_label': '4275.2.a.a.1.1', 'target_level': 4275, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 1393666
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288295595, 'target_is_minimal': False, 'target_label': '171.2.a.c.1.1', 'target_level': 171, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 1393667
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666832, 'target_is_minimal': False, 'target_label': '912.2.a.d.1.1', 'target_level': 912, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 1393668
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33557225, 'target_is_minimal': False, 'target_label': '2793.2.a.a.1.1', 'target_level': 2793, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 1393669
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391090449984, 'target_is_minimal': False, 'target_label': '3648.2.a.y.1.1', 'target_level': 3648, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '40.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 1393670
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197425151552, 'target_is_minimal': False, 'target_label': '3648.2.a.h.1.1', 'target_level': 3648, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '40.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 1393671
    {'conductor': 55, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797784305, 'target_is_minimal': False, 'target_label': '6897.2.a.g.1.1', 'target_level': 6897, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '55.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 1393672
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197425150640, 'target_is_minimal': False, 'target_label': '2736.2.a.h.1.1', 'target_level': 2736, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 1393673
    {'conductor': 65, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444121505, 'target_is_minimal': False, 'target_label': '9633.2.a.p.1.1', 'target_level': 9633, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '65.38', 'twisting_conrey_index': 38, 'weight': 2}
  • id: 1393674
    {'conductor': 95, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915667003, 'target_is_minimal': False, 'target_label': '1083.2.a.d.1.1', 'target_level': 1083, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '95.18', 'twisting_conrey_index': 18, 'weight': 2}
  • id: 1393675
    {'conductor': 105, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 72057594071490747, 'target_is_minimal': False, 'target_label': '8379.2.a.q.1.1', 'target_level': 8379, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '105.83', 'twisting_conrey_index': 83, 'weight': 2}
  • id: 1393676
    {'conductor': 285, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 799, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472509329, 'source_is_minimal': False, 'source_label': '1425.2.c.a.799.1', 'source_level': 1425, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33557681, 'target_is_minimal': False, 'target_label': '3249.2.a.a.1.1', 'target_level': 3249, 'twist_class_label': '57.2.a.b.1.1', 'twist_class_level': 57, 'twisting_char_label': '285.113', 'twisting_conrey_index': 113, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1938925
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 2}
  • id: 1938926
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 3}
  • id: 1938927
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 5}
  • id: 1938928
    {'charpoly_factorization': [[[9, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 7}
  • id: 1938929
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 11}
  • id: 1938930
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 13}
  • id: 1938931
    {'charpoly_factorization': [[[9, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 17}
  • id: 1938932
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 19}
  • id: 1938933
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 23}
  • id: 1938934
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 29}
  • id: 1938935
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 31}
  • id: 1938936
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 37}
  • id: 1938937
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 41}
  • id: 1938938
    {'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 43}
  • id: 1938939
    {'charpoly_factorization': [[[9, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 47}
  • id: 1938940
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 53}
  • id: 1938941
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 59}
  • id: 1938942
    {'charpoly_factorization': [[[-7, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 61}
  • id: 1938943
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 67}
  • id: 1938944
    {'charpoly_factorization': [[[-12, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 71}
  • id: 1938945
    {'charpoly_factorization': [[[121, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 73}
  • id: 1938946
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 79}
  • id: 1938947
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 83}
  • id: 1938948
    {'charpoly_factorization': [[[10, 1], 2]], 'hecke_orbit_code': 137472509329, 'p': 89}
  • id: 1938949
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 137472509329, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 3, 'hecke_orbit': 1, 'label': '1425.2.c.a', 'level': 1425, 'portrait': 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oVpw/xUynI3oDsUjBKPlYFg05RhqWM4dlZR83w2zcK2hYiNcyM2zIVsmgvZttGyY5Pi8u0eddXk8LE2Dz7r8/i+hKePxqSqx7e9usO7X2mpqzn2HZ3m8CnNyXMpZzJwHzhvueHKRX72/Stsn5/i1Llpzq3UWOp4LHckq72UTj+lO4K9h85z6GTn8uePLL5m74nlC/adXL7tlW9+b3TvVz75UkPiL3X7W83gS8sdlkaWuuaDTz5z8JX/7r9+Xr7huoOv/BfvPKFXenOsdFssrTZY6vgsdTRLHVjupCx3YpZWU86swsElwcL8Kv/2e5d4xSUNjp+d5dS5JqfOa84uWc6cTzixmHKulzA9O+JVV/e56TLwZZ1ABZxdrnH6vObMsmAQQpIYar6hWUuZmUowwNEzCd0+7Nzo0ayHWCtA+PSHhh2bQpZWNVgnRVb7ECZgsSx3IrZu8OgNFUJZhAlp1zx2bB6xOhAcPaVJjWauLWnVBIEHSSIYhJIzy5LTS5azKwlBMAIv4eYr+rzySsFCu87SSpvjZwNOnYez5xPOLiecXIaDS5aXX3GeX/jeFTZNtzl2ZpYzS3UWV3zOdyTLqykr3ZiVbspyz7DYE5zuCZZXB/zKv4iSd75y7v7Zre83zZmL7pcy+akkqeMFf3uzo39rg8zf+tinmZud4tTpxV/86Cfu/pdfvOOxYN/JLqeXEt52fcrLdnWwVpGmitQIUgPGaKxVOGMFhEgRwnJoaYZ/+4eCX/yBs1y3K6JVn6VZb9FuBLQaHtNtxdklxZkVzdceqPGl+xIu3j7gsgsTlleGXL495LveaogThcDyFw/WONepUU9DjpxW9Pstrrko5Vw3Yc9ej0u2S/afgpsvhU4PIqMJdMR8E/adrNOoxwQqYaolWO3BjZf3OHgi4JKdhsOnQp476P49b/uIg2ctU62Q5W7EF77WwApFmqbceu2AW66znFn1uG73iN1bPJK4zWBYZ8+hGmfOCxZXUs6tJJxdNhxbFpztR1x7yRI/94/7LLRnOHp6mrNLdRZXPZY6kpVOSqcX0+mnrA4sKwPB4lCx0ou54fIVXnXpqrZx9NozB/+AqQ033zK16W2m3pz6188+9hmuevk/eqkhs+7tbyWDf+bPPsubX7NL/f5nnv25A4fP/OtHnj6qzncjerHm1MBy5Y4z/OqPnOPa3U3OLs2w1Gmw3Kmx3PFY7mpWerDSSVnpJiz3Es534PiKQNdH3HLlMt/x2ohdG5qs9tucW66zuOxzviNY7jiJsNIzdIeGbmgZjBLm2jE7NhpAEHiWE+c8hAzYuUGxa4tly4YBZ1dCntrf4vqLLY36Cs8emKXVjIgij7kZw3AEl+8Y8UffmObS7QlhaJmfksTpkFYt4LkjI+pek2svSXj6UMTZJZ+tcwG7NsOOTRFKxZw4D75nEcKyc2PCTEvSGwb0Bx7dgcdyV7G8Cksdw3In5Xwn5UwHlkYpO7b2+Y5bz3PLZZqa1+b0+TbnV2qcX9UsdwUrHcNqL2all7Latyz14UxPcXY14RWXnuGXf2SJi7a0WO606Q08oqSFDC5OVbD5F585fvUvXLBwKH3jm9/5UkNnze1vFcCXzz6DH9TqneXjO+68/9D7nnvh1L97Zs8x+qGkHwq6I1gcKE71Eq6/8Ay/8iPLXHNhnXMrMyytNljp1ljueqx0NStd6PQMq72ElV7CctdytiM41bcg+rz71R3e/grDhZtrRFGDlU6N1b5Pp6dY6Qt6A8EotESJJU1BSUvgQT2wTLctG2ZjtDfi4OmIZw4EmKTJW2+M0N4qj+2Z4oLN8OWHE159VcC5zpCaViRpzOwMJLGH9hKWlhq86rouX36gxa7N8Oj+EI8Gb3mFIRFDnjmYcvhEDS19Ns5oZpqCeiDwfYESkBiIYssogt7Asto39AaG1YFhqW8Zpik7tw14+00d3v3KCEyLpdUpzi3Xnd7ualY6ZJo7YTUD9/IATncVi92Ul19ylg/9yDmu2FlncWWa1V6D3tCnP/BY7gis3o7RG3+mNb/7Ty+9aMex4XA4vOn6K15qKBW3vzUA37t3P+3pTf6Zk899/5lT+z787LPPiyMnRrLbT+gOUnpDS28kWB0Kzg0lp3sxr7joHL/8gSWuu6jG+dVpllabrHQDVns+Kz3Nak/Q6Vm35PYSOn3DSt9yric43THMTA9408t73HxZws6Ninbdo9urEXgSUESJxBiBsTAYAcIw0xqx/6TF2IjbH20SDupctNXnlqsHxGaVux+f5tqLPfaf6dNZaXPT1QO+9ljAxlnLnqOW//VdXfYcCdg4K7njccUtlyuWB10OHZ/l2ksi7n5mSBI2uPkKn93bRwyTPl99TEEqOHhC025otIDBUGKsIDWWOAGkQfuGTt/SbMVs3xzyyssHvOn6hLlmjbPLUyyt1lnpumOz0hV0+tDpJXT6CZ1+SmdgWR5IzvQE53sJN166yC9+YJFrdtVYXJ1itdeg2w/oZStGp69Y6giWe5656uqr7DVXXvpjV15x6e+ePnM22rXropcaUsDfEoCnSSyjcPiOB+//ykXnluIPPfDgI57vK5IU+oOE/jClPzL0R5beUNDJQH6qk3Dz5ef44AcWuX63z2p3isWVFp1+jdWez2pf0+kpOgPo9S3dQUK3n9IfGjoDy2JfsNiHOA255uIhm2ZT+gPL224KuWCTIUklWlqiGO56qsaxczU2zyQ8e7AGpsFl2xTXXWoIagMe2z9g8XyTKy9o0p5e4YGnPW64uMbSYJWVlTabNlke3qP4x6/v88gezbYNHuf7HVaWZ7nu8gEPPJsyW5/myov6nOt0ePj5aeq6ycsvtVyyYwSyz1OHBRtmY84uxtz9lMcoVkgJqbFcsDniTTdF9PqKLTOG6y6GKGqw3Gmw3AlY7Xt0B4pOX9LtQ3eQ0u2n9AYp3YFhdWBZHkpOdgWdYcgtlyzyCz+4wssvdhdHp1enO3Dg7g00vaGiO1D0BjCMUjxluPLqG+LBSPyrb3/XOw40m/UveJ5nXmpsveRBZhT2SeLB95458civrizumz15fJUNsx5RIghjSxqUQSM4C1AIi5QWKTWP7NvIT31U865blvnO1y+za2vEmaU2gV+nHvg0Ao9mXdOrS1pDj6mmZjBK6Q9TNoaGYWjpjQKWF2ucOG6JEsPJMwlBYAGBryxaCgZDhcAjGWhedoFg9xbLjq0DwrTHVx5RvHBghjdfH3Dd5Sv83lcsvmhwwdYBTz+g2DqtmG8PqKk6UexxrgfNmmbbRsGTL0Rcd0md1157no9/cYjvtXjjjRYvGPD1hyO+/FCT5w/XuXBLgws2pyzMROyaj7nqghSlDFpZwNIIAhamA6LYozfweXa/50oUhor+SNIfQn9k6Q/cd+8NU/pDS3doWR066Xd2xdKY6vDjb13kf7kl5JoLm5w+36bTr9HLwT1U9IeK/lAyDJ1EShIYDOHrdz3sebXpX21Pb1x+4+tu/Jfd3uDj7VbjJcXXSwrwNOkB/OC5k/d88Pj+r8+moxHTzRpaKYYhSCHAlla9ECCF66RR0qJkii8lT+9f4Il9TfafOse7XtnnlVeMmG61We40aHZrtIc+/Yx1+iPJcKQZhJpRaBlFhii2xLElSd09SnysAakEnhbUfMF0SzDTgk3zhm0bB8zPdLjtMbjnCQ9ppnjz9R4vu6zHfc/HRKM2t7xM0BkOObfU5OZLDPPTA+o6YJQoFrsxyghedomm0Qp5fG+N11w3xU3X9Hh8rwI7xfVX+PzAty3ztScj7nikyZ5jNXYsKDbN1plpNZhqQT0AT1uUBGNhz2FBmgriRBAlEMa47ximDEPDKDQMRoZBaOgPoRvCYl9yrgehGfGGa5d5xys7fPcbDUnS5sz5Jt1+zWnuoUd/qOgNFYORYDASDEPLMDKMwpQwMvSHKUsnT3PoxG2znaH5D+9552v0Snfw0Zn2SwfylwzgJl5EkPxA59zXPrh08o4NmJBmo44VqQOylEghEUIghEIIgZRk4AalLFpZPGWoe4Lzgzqf+MY2vv5El1dftcr737DKVbv6zE03WFpt0BsGDIZeBmzl7pEgjCVxIkgSt9Tnq4WSFq2h5kOjbphtxWzdMCChz/6TMZ+8u8ah402mgzo3XKG5+eouD+/rcPuDbW68uMaOzQP+6BsCJQLarZjVfoixoAQstAd0ez4mqfOOV5/jE19usPtsjbffOCCKl7j7mTnitMYrrtjA22/ocvH2Dl9/fMDTxxs8ddhn26xkti1oBALfcxehFCCExVgwxhIn2cUaW8LYXcijCIYR9EaClVCw3AOhR1x76Srvf9Mqr74iZa5dZ6XboNOr0xsE9Ece/WG5EgxCyXAEg+zCGYUO4KPIMggtqdUsnuvwW3/0tQ2rIR/8nne9yh4/s/o72zdN/78D4P2Tv8qDz13Pk4/d932BXv6Qjh+aT+MVfK9OEKSkRmCtY2shQMgc5BIlNVKmKCWy5dngKUugLXUtWBkpljozfOquJg892+eWa1Z5/xtXuXZ3h7m0TpIEDEY1+kOPYaiJYkWcSJJUkhqBscJlQYUl8A2NWkLgR/heyMmlkC8+KjlwwufwiRmUCdi92efyXYrrL+uigkWeOdhi63SDKy+ETQsrLHfbXLVVkhjLbY8EhAPJdDPhLa8Y8YW7Y46daXHpRR6nV0c8d8hj+8YZrtm1yH1P93jgOUEY+Vy2a5bLtgdctq3HwdPLHDgJj7zQYP+hJg0tCLSkGVhqHkjpgipr3cWapBAlEKUic6EE3Rgik2DsiJdf3OX9b+ry6qtSNs8GjEZTLHVq9PoB/ZHPYKjpjxSDkWIYCoYjJ0uGObijDOCRzVYISxiBQXF2cZU/+cw3NoxWznxo24ZG8vrLG7/39ef7oj/Ctur/80K//6kA/z9/6cM0tjzE5X3z3WHv7K8vnz87HXgxSkp8LyU1CWQMKjOAKwlKCpQSaKWyR4NWKZ4W+Nrge5bAszT8lOmaoBd6rHRn+Mw9bb7x1IiNMwPed2uHy7aPGA37XLnLsn2TIoy9LFHk0vwCi5QGT6ccPWs5fEawOjR8/r4GJ8/PYCOPmZpiy5xm5ybNhVvhyt1djDzPR77QZHl5ihsv01y5u8PXnxKIxGPDjKTZSBjEPtJKsBKlfTojwdllwRW2wa3X97j/8Tpb5n1uvHKWf/pt5/ndL/d4ZG+T/shjabXFri11Lt084BWX9Pj21/Q4tbzM5+8LWBoEHD3tcfKkj6cEUkoEAmMtqYHYWNLEMDMXc/UVA8Iw5rLtIe+5NWTDlGK2FRDHNU4v1hgMfQahW+WGBbClA3coGIW4lSBMGUWGMEozmefugwiGiSBMBVIpFs+v8oefe3B+05aNv/Jzv/vozwA/gB3d8z8Tc//TAP6L//lP+Onv/k7xgZ/W752tPffb337TM41Lt9cZhgFxqhDSIVtgIdPaQlqUVEgpUVKilUCr7FELPJ3ia4HvGWqepR5bGpFlqpYyUxcMIkkvanL4RJNf/uNZMAkiSbj+6gG7NkUkCRhrsNYlcaQQSCXQns/eYz57DtRo1jQtXzLfECzMSTbMarYsKHZuTrl05yqpWOK/fLbN0WPT3HiJx2UXpAyTHg8+EzBd95ibsky3Ihp1J4WMkXRGiuW+ZamT0unXedWVqzy6Z8ALxxTT7RqvuGKaD7xjid/4HDx+oEl/aFntac4ut9k032DDzIidcyP+z/cOaDc6PH0Y9h6XeJ5FKYsQBrDufxaSBC7YlHLLVQlp7BEnAdY2GEUeZ877DEO3oo0iVci3YSQYhYJR5Fg7jCyjKCUMDWFkGMUmey+/wzAWDGPBIBYMEsEohVHHIGvPL8QrH1kYnrlw1+/86Y/fe/jZ37e7rvrevz8A/8Sf/CnXXzanfu1Tv//ulcXl3/vYXd3aUy80+eUfXuWS7SMGwxrDMEBJgxQGKS1KapSyLphUKtPbEk87zel7itCThJEhiFLC2FKPDWFsiCJLO4EwNoQJRIlgFEvCNCBOa7xwoMlTL0BqLQ7aTht7Enzlaj5aAVy5Gdp1mGpKZlqKuWnNhlnYsSlk88IqsV3mv3x2ioOHprjuQsWF2yS7t61w53MJZ5emuH6XZKZtqPlDAhlglSBJJcJakjRipV/j7JLHdZfVedklPe57vMbGGUGj1uK6Sww//u4lfv1zhudOtljtG1Z7isUVzfx0k5l2nZn2FO1GzEIzZud1EYGX4OkEpVKkcIRhcRdVHCvOLWriRBEniihWhHH2GEnCWBJGklEkCSPhAtRIEEaWMHLHNYxSoijT9LF7fxTBKBaMYhhEgl4s6CaCXmRJwoiX7VzmFz+wyE0XnOXY0dZHbnrZHw7ve+7Kz97+5c+lb377u/7uA/ypx/8rWzadV48/fe49x092P37gwOHaTLvJbY8J/N9J+YUPrHL5thhPJfRlipQGpbK7dAD3lMXTCk9bvEjie8KdBE8Q+ooodkCPY0uUpM4VSSr3FJLUkqaG1OD0tqEAdy6FtATPg0ALaoGgEUiaDcVUQzIzJdgwm7Bz04BWc5XP3h9x9zOzrJ5vc/UOxc7NHhdvH5GKVW57pEHT0yzMKFqNEc8chOcPaa7abhmEimsujrl6t+XM6ZTFFZ/hqMFbb+hx79ND9p9UNOuSwG9z1YWGX/i+Je56bsgX7ppnqWvZuSFlpaOZbiummh6thkezbqkFhsA3BDpFKye1pHTnwFpcwsoIEiNJUkGSCOJEEiWCOJaEsXNeolgQxZYogjBOiWJDVCGOMK7eHbiHMQxiQTeWdGIYhgkiGXLdjhV+/geXePN1knPLsyyePV7rpq0/6IXRP3nuXO3TH/rtj6f/6gP/5O82wP/wK9NSEH7noH/ov339/rO1OPEdCwcN/uLBjUSR5D23dnnv63vMtBN6gxQtg0xnOz3saY0XawKtGHmOaUJPEvmCKBbu5MSKOIEols5BSErbL0kNaerchdRmTklRkOXcGSWd7PG1IPAltUDSrAvaDct0y7BxNmRhpkdiV/nUvZLf/fIcG2o1rt4h2LHZ44Ithp2bV/jsg5bl5RqXbVLMtKHViDl7RHJuJcDfBWEsWJiSTE/D/sOWla7hzPkaF19Q4/XX9/jiPTXmWhD4PkpOc9VuwQ+9/RyePMdf3DfD8ydrbOzGbJhOmGoqWnVFoy6pB5rAh8ADrZ3DJIWLZQqQ4y7s1ECaCpKUDOgQp5YogThOHSnEhih/jE1mO+auTGZBJk6S9GNBN5H0YkM0ipgKunzHW5d47619Xn+tpNNrEieaqVaKGD5R2zG7/bff8vILdCPw/+RfOZ75uwnwn/71z2NS832PP3bkVx55ZrHdqnn4CnxhqXuSlCa3PSJ58Nkap1eW+F/fPWCmnRAGMd1BDa19PO3haQ8/Sok8jR85aRLFLpXuGEc4JspYKUkgTiFNnZNgjM2qDW3ew5mB2wHcBa4CTzuA1AJo1AytesJ0K2Fhesj8zCr3vxDxB7fX2Xt4mgumPHZvgm2bfLZthEt3dBkkXR7e06auPBZmFNMtmG6FzEwl+L5GCHdxDUOf5W7M6sDS6SecW/HZsanFTZed4/ZHBuw92aYRxHjKR4gpdm9VfM8bz/PyS8/xB7e3ePjZaZb6mg3thOlGQqMmqdcUgScIPInnuVhFqTxYdyi3uB5WYyiAnqQmW90yazExJKkDdxJDlNjyHjtXZpQ4UhnkciSB0SjBJEPm6j1+7B+d5//3XQPqQUC322AUBqRGoqRhYRq26QNtE4r/Up+53O+e/vjvtjf/zbH43xjAV1Y6KCV/8IMf/uwHTxw7MbdlWgLOp0WAxYBQDGSDzkjxK3/qsefgCu94zYBbr+2zcT6i160z1D6+5xP4HmGkCXxn7+UAj2NJlLhlN04yTzsls/7ImFtiLCW4s8/gmBu0cgkT37PUfEO9ltCqJcy0QzbPdznbGfDhz3vc9ugsyytNLloQ7Ngg2LrBZ9sGwa4tI7S/yifu1hw63uSSjZKZlmSqmSJlyMlFS6AlUoC1gijW7NzQ5RFSugPFStdydrnOJdtqfPutHT79dZ8jZwM8HSOEh7FN4kRy/a4Vdn5Xl9seH/BHt83y2JEmW2cE882UZi2l5gsCT+B7LlbRyiXLpBRFTYbFXWTG4pyW1AE+B3mSOknnwA5R6mpdojx5lAiGCfQSSS+BYWRIByHb5nu89roV3vmaAW97uUGLJisrNaLYJ4w94kSTpJIo1vRsgODsnAwu+dCm3d+hRsNv/2it/jdTU/43AvDFpVWk1v/0s1+4+4PPP/3shqmayQqDXHGQNgKJRQmDJwQ9UaMTaT5xZ427nu5x3WVdvuuNA95+Y4e56YDhKGAY+gSeR5R4RLEuAqUkUcSpJEkkcSpIEkma5n8r09pGUKgSm2dEXbJIZcki3zMEfko9SGjVQ+an+wzjIV9/xvLJO6d4+NlpZnyPq7ZaNs9KNs75bFmQbNsYceHWFZ4+MuTz9y4wpTQLU4J2U9BuxHQGKV9+sEbLtwjhgDUMNe+4JeRLD7mamE7fcG5Fs21Di3e9ss/DL/TYs9+nGSQoKRzITYNR5LT+97y+wyWbz/GJu7o88Pw0x1bqbGoLpmqWhm+oaYPvgVYCJckSZO575+VHJpNqxpQrXJIB3REExKkgTjNgp4JR4tyRfoqLeaKIZn3Au968zHe+scv1l6RsnPEYjpp0e0EBbicfHcDT1BWwJSn0D+/fILy7P7h1160mHK1+LKj99SeD/loBvrraYTDsU/Pl9379zvv+45dv+/pcr7tKuy7dQTPlwVMSdAJaWgIp6EmPgac40Q049VCDh57p8+mre7zn9UPecsuI2WmfKAwIE48oY4Q4A3qSKpJUFgcwB7ixGXObMrEghM2CSlfHobXB91ICP6YeRLTqQ1KGfO1xyR9/Y5pnD08h4oALZiybpy3z04qFWZ9N85ItCzE7NnU5vtjjN7/QJAnrbNsmmG5p2k1oN2KEF9EdNpluWYRwSaw4kcwGisQk9GKf3iBlpas4uVjnigtb/PA/XOVDfxJwdLGJVnF2YWiSpMYokmyaC7j+oi5XX9jnuaMn+eSddW5/bJpTnTrNQNHyoelZfG3xlDvGSmaSrHK+DGCNu+hSI0gtJKlrHolTQZS6JNEwFQxTGCaWJEkwcchcbchb37DK+97Q49VXxUzVPaK4yUonIIx94lgTxR5RorJzlZ8jUT72eqw+cfeG1Z7/Hy+46Mbk7OlTv99oNWm1/vrY/K8V4KPhkGaj+c5HHnn8N+688xttkh4zLV0ue6mrrY5Ti0qca6HT3J4z1FPBQPkMEs25sMZfPNTk7mcHvOKOPv/bP+px+Y4uG6YV7YYmin2ixCNJSpCnOcCNxFiJtU4SlB0+WapfWRfE6oTAT/BURHcYs9iN+bXP1jh8bobH90xjjc9cXbBh3jI/JZhrK+amPTbOSTbNJWxdGDA3vcJtTxgee36aq7cJZlqSVkPSbhia9QjhhQSBRiv3962FNJUMQ81wFJMYQW9o6PUty12PM0ttbr60z01XrPKJO2rUlxVaxg6QVpOkPlHsejznp2u8fHefl1/U55HXnuLoouQPbp/m3GqDE0sBvpI0PYGfyzDpAs+CyHOpgmPyxAoSA7ERhCmMEoiMhTSBJEaqkC0zQ67e6c7HDZentOuaJGnS6TlgJ4nOCEhlK63MrElZZI2T1EnJKJb0l0YcP3P33CjyfuPyK69dGQ2Hn//rxORfG8BPHD/Axk0b1V98/tMX7d27vx2FPdotj9HIECUGnVh0KohTUInNwO3e85TFTyy1VNBQgqESDHTAMPVYiurc/tgU9z8/pBmE/JO3ddg2l3DBliE3X9lDC0WroRHCyRWXlXS10tZWmJsscSScZ25JQCY8d1jy6AuaLz7c4rljLaKkQUsrFuqW2aZlpmGdD97WzE5p5qYFm2YTtiwM2bywwt3PhnzkixvYPK1ZaEO7qWg3Ba1GQj0IuX+fYhRpvKYDlbWCKJHUtOLaS4Y89My0K3wapqx2Pc6vBpw9P8MPv/0sJ84v8dCTC3gSEDEGCgCFkaQ/1My0aky3m9x0yYDXXj3gu163yAvHDV96uMbDL9TZd6hJIjRhqBjEClXU91QDzywnYA2JsVhj8ETKlB9RI+am6/rs2jxi23zM+98SUvclzbpHFDXo9PxsJdUZ4ajCa68COwd3bgTEsWCUSEahYLXb5a67720fPnL6ove+771qz5596eWXX/K3B+DP7XmQk6uRb+K7v3/TbP9X9qbLtBo+g1HqNK/EJW8S52sn0hU3KWUdyBPwpMAzliC11JSgkQpCA6PUY5h6DNIavV7Kf/zEDDaJ2bgw4oodI+amEt7z+iE7NkTEscj0toQKc5PpTykNQgo+c1edpw82EVpz9FSDk2cb1OqKqUAw3bS0a4Z2DVp1wVRD0W4pZlqauWmYn07YODdi64YuqV3lM/e2GfabXLzN0m4oWg1Jq25o1RI8L+K2h2qEA4m3AWQGpjiRNOuKt75iyD1PGNexNEzpDjSrPc2ZpQaX72rxnld3efy5BkeXWyhpgDjTyx5xqghjl5jpjzSdvk+r3qBZD7l824gbLx1x/FyHI6dX0V7KU4c0n76zgVCucA0hx0+iNYABa4mjlJ0bE973+iHz7ZRLd1o2zkGaeIRRiyTxWOl6JLEiTnUWBzlA5wB3MVFeyCazOKk0AqLE5TKGkSBMJKePnMX6W37ljrvvHbzptbO/e/Dwg9HuXTf/7QD4Q08dJbX1Sw6oox9uRI9KrRbwtERriyt5d0ujkqBSlzpOpEUZQZo4nRinFi91GjDQllpqSVJBZCxRKgiNJEwlkfGIDSz229z5tMGS8ucPu5ENWJPd8yxeZpEVFYkSqRRJrJFG42lJK4BdC5amZ2gEhkYAjUDQrEtadSeHplqSmTbMTSUszIRsWeiRssKv/VmN+57ZwO45mGlk7N2QtOoJjXpEszGkXm8QKImSmQbHyYE49hgNBcMwpRcq+iNDb2hcy1zT58TZKV51RciPv/csv/ppzbHVACEM1saY1BInHlEsGYWujLU11DRrPo16jUbQoBbEtOoR118c4XsxN1yc8P43DNAqyZJABiHsuCjPJJ0xEiEkgacAn1GoWVrRrm4nzWOe7J7IMgbKJUgO6MzZKhJLlcc4y1/EsdP/SWL5wh33yUt39z7cObvpXhFFz/51YPN/GOAf/4NPsXV2pn7PI/ve/djTe8Tl2+vMtFybl5IurQ6y0qSQpd9TB/ZUuaBTZ/o8ySP6NIvq88jeiPK1EURGklhJajSxCUgz26t6K7KUArQQLlOpoFa31LSlplICDwINNd9SDwR1X9KoSxo17QDeFEy3DLPthLnpkA2zfbZsWOIjXzT80e0b2T6tmG8Z2k1Fq6FoNqBRT2nVY04vGQ6eDqj5rvwW8ko/wSjS7Npk2DQ/ojvyGY5sxuKS1Z6mVa/Rakzz/jec49DpM/z257eipcZiSE1KYixxogkjxTByRVGDmqQx0tQDj3qQ0um5GMP3Upcw81K0dI0SUrp0vsjurnRFACIDuaBjsipL4+Ia54BIElPGO2XQKLPk0UQgmWQ16qnIXmfuTJZgSow7T+2mx+uv9wmiZ8S+verd1rv64EP3fm5406v/x9L5/8MA37G56a+sLv2kGS3/5EwgZLcXuKhdOf9VK4kga1TIwJ1KW8iTxLhAM02zDJvJQJ66ks/8vfJ5WSnnvFxRBEpVzQ1kmTy3emhpnO5XbsXwlMDT1vnGWlALJDVfUg8U9ZqiVZe0GpapZsp0K2G2HTI/M2DHxiUe3hfyibu2MFML2NgytBvCgbsuadYMzVpCqxHy8F546oUGFy3YTPeWafNhqLjhUsvFO4Y88uw0g9AyHKX0hzoDuUejVqdem+Y7XrPMU/vO8dCeTWAVxqSuHDaxJLEt6kmGoaYxstRrippvCHyPwE8JtEHrFE+77HBeBiGlKw1GWFfkltFCGZy7EmKTO1Imt18rVmwObOMAXL7Os6XlPc1W6Dhz0lwNPggpaDYEs60GR08YeW6l+3PtudO+9hq/CEQvGcBHw4EcjUY//9k/+8S/DAfn/S0bfGRW2ipllgbPmxeyA5oql1BQqXuujXude+QmpXie5hk3m2feLCbLxOXJCmstlcz72Iqbp6rzhI6SWcZSUSnactm/wFfUAkU9EDTqglbd0m6kTDUTplshc1NDtiys8NDeIT//8Y0cOzHNhfOG6Qa064pmXdGsQbOWUq/F+N6IzshVQ3rKImX5yVIjsoDLp12PGSSGQVZnPRil9AaSTl3R6AXUghYXbIr5he/v8G9+T/Lgno1YFMYa0tSQpAlRYohixShSDANJPVTUfEngWwJfEWiD5zm/Xyub1fpkhJPJFCHseINultq3GYnYrJYlzQCfmvLRkZHMHkUJ8Px5WpYG5Ktzvlrn5zIFljoCKRXRqTP+lm2Nf/Vd3/3d3mAw+JlGo/FXTuf/lQHe6/WIk+QXH3/s/v99efFEbXZak6ZZYFetfzDCae0M4MY4Bk+VdSBOLSZ/bgQm+9I5uJ1HC9ZYlyzKSkCrdyYAXjRL5OAWeU25s8t01ormaUngS3xPUQvcSIZ6YGnWDK1GSrsRM9WKmG0P2bKwykMvDPg3vzvP3mOz7Jx1DkurLmk2pGPvuqVRS2nUYuI04g/vaCGVwpMWJUqb0Nh8Cff4njev8NXHInpRwCADeH+o6PUVnUBT8wMCr82l2xP+3Q8s8bO/K3jg2Y0YK0mNS6vHiSs0CyNDWHPlrkEgqHmCwHeZTV/bImOrlUEq5427lbUC8DLlCWQkgsslOLclC+RzAGdTB0yRXCNjd4oVN60C25ARGsW5ttaSAKHIy3stBw4erd191z3/4o1vfJ3o9bo/1Wq1/+cCfHXpANaam84cf6we+CO0ViSJLTpyinRw9kVlKlBSkBbp4Rzcufxw75miVqJsv3JAF66OIgd1fuAnPlcO8LwGI8/k5eytdV53IvE86eo3fEEtcDNPGkFKs+7A3W5GTLeHLEx3ePiFAT//sVmeOzrPthnBXLMiTWqaZs3Vr9RrCfUgwvNCTi7N4CmBkiaz5cogM00lSaLYPGNJkphuXMs6ZQzDUUpvJKkPFDXfw/dqeHqKy7Yl/Lt/ushP/w489PwGUiMdwFNLnKQZkxvCwFCLJCNfFRLM88DTTqK5OhVn1crcG88e18G4kytkSSFEkRwyWXIozxanaeV9U0pOk8VTeVlAfq7zR5utxPn5TlMI4wFfu/uR+sKmHTdJKb8lHv9aAf7M47exskojWfmUP1XrYVqaUWRIEuFqGrIUubvasxOq8hMrSKVj6lRTgH0c2OWVnQM9PwgFc7/IZ5OiLKKSEieZMnArKbNGiVyeQM2DwDfUa5Z64PRzox7TbkRMN4fMz3R4bP+In/3oDM8cXWDLtGKhaZiqC1o1SaOmaNQF9Zq7OFyqP+KhPYL+yKemyC4yp8HzJoTUCOJE06wpbr6yx8PPtRnETqYMw5TBUNELFIGv8D0/08/TXL7d8EsfOMdP/BY8sGcDsZHExmTN0mUPZuhLAt849vbKOnqt8juZTCllnMyyvOuBPE8K2RzgGeDTwnlh3ZXXpGsBXbK3HSOynOiSBEYxnFle5ld+8/P+v/7xtzf+9M++NHjft/+Dv3mAnzp1kvbMlum9T/7Zbw666Wu0jKkH7uQlykXL1YCx/OLZ/ECVv5+/FuuzdgXQxtoxgGe0Mq67hSsoEoX2FwW4HcBBZRWDngbfw3UC+VmBVZBSz+RFqx4y1Roy0+ry5IGQn/3oDE8d2cCmac1CwzBVh2ZN0KwrGnVFo2DvlFqQ0GqMuPspn9VOjZmZMk2eA8aY3FlQbJhTvOFlfe5+1LgumshUQC6peZKap/G0j9Z1pDRcvt3ywQ+c4yd+y/LA3g3ERhNnFYCu7NUxeRDLorrQ1xKtsyIsKVA6PzYUny+/CHOpIij1Zp4QmrybidW6eCxW3nFwlxK08jz/naxuP06zWvPQUGsMX/P404d/5wPf/74fOXr42OrOXf99u8L9dwNcmQOEq0d/Ihnu/c7BYAmpfHzftQ7EUqDyiLnQY1mxva0Ejaa84nP5kRYyhIK9xwLJSebOkJ5n5ArtLfMKulJ35xWDWuHqM7TF81xjcc031PyUei2hUYtp1kJajRGzUx0e3xfyk781z5OHNrJh2mNDI2WqYTNwZ+xdk9QDx/61IKERRCQmpBcFCCXxcgYvNLjI2C3zi2OPpj9y5QJRjZkc5KOUge8YPPClq4nX+Qa0lqsusHzoR87yf/03wwMvbCQ2mjAVRKnJWFxQiw2BZ/E917uqs7hDK2cEKCmz45N15eePlcIsIcYOd1GwVgV3QUIVYqqCexzIrH2v4pjlZR1R7JynM2eXeOSpw9+5885HD4ZR/NN/owy+unwc6W/bGZ35xaungwOkDU2UpFhjwXNuiUoFKimr+VKVB46iZO5KTXI+Gs3mwaQtA7GSKcqspK2umTlrV4PKfLnNOnRUFkxpnXUGZUVIefVgzUsz3RxTr4XMtAdMNXs8tCfhpz4yzxOHNrIwpVmop0zVLK0M3PWasxNzcNeDlJqf0G5G7DliuevxJr6UeMoUjlJ+y5fvOFUkRnPr9TEXXdjn4LE6Cw3KPscwZTDKWFgrtPaKLichLFfuhF/6ofP89G8Z7n1ugVFcd8mwxNLIargDDwdyna9epuhtlSotVjglRQXgogJy1uiVEuR2HOBFhWK58q63Mk++V9jAuX2YgzyFKNXc89QpeuKhq//gV/7ZzoOHjh/dfeH2v36AW3McxNQFK2fv/c8rK9E743iE7zewpMWYB2cFSqQYt5FMbgGaXI6INUta7rjYwtOecEnWuCUZc0+CW1ikym1BBwatMtbWFl8bPM8QeIbAT6j5CbUgolELmZ0asNIbcM+z8Et/vImnD8wzn4F7um5p1QXNmii8cue8GMfevgN4PQiJ0pTRsEZNuYtMCjFWyZcnUlygqZ2W1yFhZBnGogJwg++n+J7G86SbKiC9AuAIuGaX4Jd+ZIX/+CcJD7wwx6lOm1FTMp1aWomllk0cCDybef+5k2IL9s6lSg7w4vNmH7qK80IhZiclX1VLcI9LSlfNWQH7BNDTimuWM7gr1cWl9A30BiH9Tv+dn/qLB9MbXn7tv3js2TNHXn7Vpr9egL/wwkGEbNyY9B57N72nUaqJTlOMdgmBEmQWJWXhgZbead4XmCVnTL5c2+wAiMqBGdd85W1cFeYnwY17yNnbZvLEVoYDubJYT5tszERagDvwM3DP9llcGfLBP2zw+QcXON+fYWFKslDLwF1zuruRBZb1QNIIbMbgTnvXggiI+MaTPiuxz1zAWD02YnyFSlPX/NAONK+/bsBDeyN6ccBU0bFu8ENXq+5rB3CtLEp6bgpBloG8bLvkV/+3Ll96aMgvfmwjJ87PMJzWTPuCVmJoJBDEbvSyr9xAIy8PNKUoguD8sRqoVy9MIYpekeL8wISErAK7Ej+ZKvirQWhFuqSV7HWciKwrSyCV5r4n9nPNFbPvvvJi7w+H/dGRv1YGj8I+nt+4+FNfuOef33vfk/zTt0bM1gLSRKJUimeFS8ULx+BuuREY5bJeRdNBVWsXoM4liC1tqEnWrsqS7EDnzJKnm3MXQOUAVxYtHbBdb6fr7/S9FN9LqPkxgR/Tqg/ResDdT6X8zpfbfPG+DUSmzYa2YL7mZImzAHOfXGV3kTF3lb1jtA65//lpBpFmcyP/PJMMngfZrpS05iluunxIYhzAh7FwXet553poXHCos9kwmb0nsuS6RTA/LfjO1/VpBaf42JeH3PP8HGfiOoOapJ1Ymto6kOssDlE2i0tsBvL8GIqydlyCpGTxyR0FC6mSj6hgUptXu4fK2nObg7qyipcMnjlMWdluYqAbSoJmwpbWfWxqX/TPL77k9U90e6P97VbtfxzgZ06f4MnHP8fczOyW5XPPvbbpn2R+yieKBEKCthZUikAWEiG1ufYWleUoT/mKcTmSa22yZMIYsCvWQ9W+EnZCmuRZOVcx6Ea7mazmOwO3crUYgRfj+zE1L6LRGOH7A/74ds0v//4GDi7O4gU1NrUEs0FKO7A0A2hmHfb1wGU7a1lCyNWvpNlK4OTJ+W5KP/LxlcKXtggwqXyV/MLOazeixKPujdg0PWR10GIYi2zcmosVPC/NbD6V2Z3KAXwscHWVj+98dZ8brljkl/5gxB/dtsBy0mQQeDQ9SVu7GpxAg68omiF0nvTJVj5ZSJUyAVQllXGxUgU6YyuwseNSs9TmFAm7cYBnxoQtk0IG8JSl269x4NhRHnjqiddGz+ktYbi0/+ixE+zcse1/DODGGK646tsueO75PR85dOAUV1ywgVFo3EzqbBKUhmLqq0vmCEwqsxNpxsFdAbm1ZYBpERVJIiakSQ5uW7JJln2TYrzORUk3V6Vk7jQDeYKvnSQJ/JDAG3LkbMJvf6nJ5+6d49DZGdoNj9kazAQprcBmqfcc3DIDtyySQrVMewe+u3DazZDP3q/Zf7ROLZvAVbSLUaK8GONgnQ6PE81lO+HbbujxO1+Zo9/QtLPZI0GUxQ3KoLXMxtZRAblXoVS3KuyYl/zUPx5w9a4T/NYXZzl0ZorlpM7A0zSVoJEB3ZfWXTiZy1Ssfvlxze1DnD4vM512rU+eE1NeOlH45utYiqZk9aKWqFqSYctEEUDds2ihOHJ8noN7j/Hq177qI9t33vq24aD3LaXKNwX4cJRSCyTPPvP0tpPHD+zeNpuycWaa1d6AwI+zA2wRInUazrjeS2UkRppKoY4onJD8PVt5z+ZsXbEBbXbCyBk7B7kogV3KohzgJnNNcvZO8XTiOnd0QhCE+Dqkl0Z8+FM+H/vSJk4uTWNUndkpxaxvmfINjYy5G0X6XmZ1Kpk0ybzzAty+y16GccT+EwH9KGAmyFycPOmUuxJ5FtZWalJiTbup2bUtQgUjelGLoS+ox5YwB7hOs0SNcj62zEuA1wteFQtTA374nQPefesZPvalLr/9mTnOD5sMdY2aVjS0oK4sQWIdm0tHTlqW5Q15lnMNk7OOXJl0WGA8lspBzXimOy30uSjZ3Ja/KwBPWKYaltWVFo8+FTE9+8JurYNtL3vZtUesiRHS48Vu3xTg0eg00jYXZqf51Gj1CW/HZkM9SIoSSylNEfZZC1bmYDZjQB5n7gqws6u3ZGyBXfeT2IodaAtgj8mTYmBQ6gCuU7RK8b2Ymh/hexGdUcT9T0v++PY2n7l3jlHawvd95nzBtG9o+pZGYGn4JbhrgSQIJEEmTVxiKHMmMoD7nst8Hj5tueexBlHsETTtmgCzWBULDe5KUaNY4XmaN9zQ4xNf67P3RJNhzdVLh57FT8CLDV5kUEo631oKpJDlcB/K45kaSWIkjUCzcXrI//UdAy7fEfJHt7d4dM8Ui8MmI+XjeZqaFtQlBPmApdxeldblEwQVkI/XrEwWZ1UZPSeoSUcsf13q77K+qGD07BjlC4ZQ2S4boWWxA1/62mPeZVde96nzS52XdXv9xb8yg09Naxn2n74xWb1raveW81gUvpfgewmedkAS0hRMW4B5HVBXZUlxz4GdSZQqg48V/rgeHcfkRUrZFOWeTndbtEodwFVayBGtYzr9mPueFXz8K21uf3yK5U4LWa/RqiumPUvbNzQ8S8O31H0y1nbMXQ8kNV9R8wU1n6xCz2TgNgSe099Kh+w7ASc7NZdYyfTteOKkrJ9xfZAO5ImRRJFmY1tw8fYhzxxLGMQeYTbj24+cDvVUPlk3T9SAnOjMqcY7aSqJU1cf/r43DHnLK1b4+hM9fu+2No/uabPUa9CRPn1f4yuBLwWBxPVwSosWeVyTTSEQWdnvOgy+pn5lkskrhJYDODcY0srrtMCI+3ekcAGpRWBGMIotR89H/Prv3Tn1vne++sYbXnbhV/gmw4O+OYMPjwfWhP+toR9rbpq3JKlbCpxWc+DOLbsSsGIM6C5wHH+dXwy26pgU/1c5cmPSxFIt0JcyB7bJHlM3ED93M2TMYi/h7sc0X76vxefvmeJct4mo1fBaHm0NU57r5Kl7ZLID6r7I7jIrOc10ty8IcvbOAa4TfD+h5kdYG/ONxwOOnq4zPyvwpMl0rCgbfStsZyt5gjRVDEOPnRsFb7huwOcejOjHHsNYUPNcv6qfTZYqVylV+NUIOSZT3F2WjQrG+e31IOR9rxvyphuW+PN7e3zpvgZ3P93iXKfBUPgMfY32FFoI10IoJZ6wmdSyKERFGo7bh+uQeXFuTeXRZIVbJaAdg6fWlcymGdnl/40ElBDo1OJF7o8OY8n5Jw803/fOG/7biZMnLgeGfyWA79//CIoO8+oEmxYaDEYBaaowJv9Sdlz/IcYZOjvQVdCPnQRwvZPr1ASOBZQVYAthMjvQXWC5HPF1TK0WMwpT9p6EI6cUn7xjiq882ubcShO8Grrt0VCSlmdpaUPds9Q9qHkO3DXPzSR0ZaaychfZz20GclOA3Pdce9rBU4ZnDgfgedkybyspejGGgmoQlqZ5zbQb53zVrpArtvV54WSDYU3QSARBbAkVmbVnMvbO3ZTcgiy1SuGzm9ymVdn0AY9R5FGvh3zfW0PecfMqX32sz59+rcGRUzVeONkgWg1IAs1Ia6RyU30VoLPHnMkL6UIZ/K+5Vd0UquydVSFmgE4rv2eyL2Ary3mh/y0Yk2JHMTZe4sTJZ6Zf/Yrv+e5O3/7OVHO9D/BNAB4P94ooHvzz2+/40PxzB2q87rqY63eHCClRSpJmQxsdaMcBbaxw+qsAsqwsO5PgrlzyY4xgK5rPJTWcJDHZLg8pQeAmqSZpypkluONOzcETde56uM7JlToHTzUhCFANTU0rmtrS1Ma5CJ4bnF/z3Lg2B+L8LrO7ygBOprkzcHspgefY211YEYcXYc+RBp4ctwcLiUJZD144CrmTYrK+xsTjip1DLt4w4NlDCYPEoxULQg1+4gqQVAXgUgpEljnOmbxkykoZq8nrz10fZZx6hJ5Pux7xPW8OefXVXU6udPnGIz6Hjgd89fEGp5ZqpEMPIzWxrxBSupUi68qXZBlPKGTLeiAfCzSpZqlzt6USdVPtqc1fg40tNrEInSBlzCsuG3DrdT1OHH9iutv7hz8+CocfW4uibwHwn/m/7yJNk++8737TfO7IFv74tpArdw259foRV1wQs3nGsPsCg0aQRDIro5TFMPkS1OU9B3fO4jlbj38yW4nYS9YupIhK8YKUOLUcOi545pDijocbPHvY5/nDdbphQBgF4PmotkegBA0FDW2oV3zgQOd1GnnZrKsLDzJZ4vsK35fZBWBL7e2lLrPoOZ1f82OsiTi7LAltgNYSX1p0xWabIPAC5Kkd73eMEg+BZmE2QqoR/dhjoIVzOuKyYEwrM5aBlLlJDZAPO8rOR8HklcFIXqqK8ROD0GfTTMSOjTHXXxgyjIb8k8Mdnj3ic8dDNZ45XOPQsRpxoiBQWKlASFJZyQYVSYp1tMqYOLcleAtATzyaCsgTg8ay+4KQrbMJl10Qcut1IVfuMuzcYNl/8gWmzO8i4xcXIuv+5Pc/+RVOLnbVJ7/6rHj20AKhsTx1NOWZwyNuf2TIlI7YsTXiqktD3nJDyOuui8C6MtR602Jt9qWNIIndnJI8kHTBZA7q6ll3gCabX+JpC8IgpCWOLIORY/QjJyR/cnvAIFY8+XyNA8cDzvd9wtQH7YPyUG2FLwV1BQ1lqSncODOVFR4px9q+J1zSowpuT+JnsiTwIfDJXBOXMve0yQJt557UaxHnVlLueKBFpxcwMyXQmRefF32JF2M2UwkIjSQMFfNzirfcPOKrjw451mky9KSTKRq8xOLFuWedeewydXYh1VknsvgbxurK33BA91NFqhWJ58Y+xLHnrFQvpunHvPqqhJsuD3nXa0fsOy55ao/HMFL80R0NDp/xQEgGQ00aqbx8E6tzgE9YRtX07RjAAWsQqUUYi81AXW+6hJzA8PrrQt788pArL43YucXQUpLZpiJJA6LI56ItCkYnxFC+Rh3Z+5Xkgkvf9pcDuBCwdaH94XkvvGbHFHQTTSfWDBOPxVHAYhxyeDnmgWcTPv31mPmZBGsM110S8b43jlw9eGpZmDJce1VEs+ZOJlYUObC151wUw3k6A8FTT2uWupJ6TfLwHo8v3FtjFCtGseL0GR8jNLH1MMIDrRGBRkuJrwQ1aallwA6UJVDW1YDrzPPVJXP7eV9mAW6V9WiKgr19z+D7eYFWWrC378coFXHnE4rPPdhC+drZbWP6+8UZPPfC0zR3PBSjkcc7bhny+fu7/NE3pugnNZqZDvdyHR7ngb4tuoWEkAXA3J+SFa1fAbjJRjtox+SeViRao5PUAV2lKOUG6c/UEm65NOHmS2OsCHnP6waMYjfO7S/uDXhkj089EJzvKp561qc7kJlKEryoKC92nnCtgddeGzE/nbrGl9TyvjeOeNnFMdYIFqYNs9MgUVjjE8cenb5boUehz2DkEZnaNQvb5z4M/PBfisHDYQ+/1mx/6jOfv3ShGateyxCMBFpIVoRiIGoYrTFpRGgSznRSzqymYFP2HbN84c7UBQmpYWrGcOM1Ea26q/9dNz1ZvdQz12G1r3j0GZ9uRyG1dDNRrHbMJDRuLrAGqZFS4knhwCwtgTT40gHBV+CrckafA7koGx60awTIG4+r4HYMn5XVejmDp5V7QqBjrI04ed4nCmsEUxI/S3urrCpvLIspKMmrYp0W3elGEcUeMy3F9vkIX4wYJgHDRFDXbghmXkOSJ7SUrJa3yuJvub8hs+SPKbOnxmQ9k6U0SpI0yxuobC57QpykqNjlErRKkTJh27zJVgzD5TtGRHaI1IZOR/DoM5rVgUQVimU8qB4jdOu6tpo1y03XxEzNGGziVvaadNuUWytJjU8aK6JUkaQ6mwXjEYYB/VGNlU7A6sBXSRBfevOr39FeXe12p6fHezfXAHzx/DJKdT+0unTydZ4c0a4L1yWSmiKgHKaaVCiwKZjEPVpLgqFjsglJytJdNZy+s1n5iusBvKrfspMjBCbfcoGs5lSoMsiRMrOyclBnaWdJtnFr7htXHnXWSa/Itt6jALdr61L4Gbh9TVFi6hg8Y3Ft8LPsqOfFBEHM8fOGP/hqE7SPJ0UZYBbyRKxh8Ko/nA8JdWBzg3Wi2OP9bxny53cPef5si37q0UjcprSuCtCWnTgqzwlUg728dDGXQrJS4JXfTVELo7XCS928FC8DupJl0szVjaeVLWYc0LWwCJsy3zD8g1cZEGkmMwGR75+x1iEr4SDAaNK4jM+SRBJnFqc1ktQ6FyhNVQnw2GMUagahx8mzEef6x16348JTH0rT5J99SwZ/5smvIYTwV1fOZOlgsrkiLgHQVO5jj4QbvGOlKoMCa0GaylJkScd2c7brfN+c3XKAjwcv+TaCUrgr2xMurRwIVy3oSfdaS7Kaiqx7PC8k0lTmoJDtzFZ21ZcAl4VsCXxbtLT5vqkMzknwMvb2dYyUEUfPCBa7NYTWBJIxeSKrX6tyuqvSYQx4mdMRJR5z7ZCdm4a8cCZkmGpGKQSpwEstXpLp8ITCWSpT6GqsUyGP7dykXVs2nRTSyKBTQ6okSufbl6usWC1FKpOtFKa0ZjOQi/xv46Zkibx0IzMKik8gKic9Nxnyn66xjl1w7B4FqVXFTnhJUj4vyj2M4PjJc3z+S3f4bjOxbwHw2frjSAFz0yOW+prO0NXlgvM//UxjKWFdOaOVpIwPmC93USjKAnnRmxBuWc0TB0IgKVPEbiqVq0fwRAbaTALkz4v3MrIvS0EpGmx9JRzYx8At3aOfAz0PPjNw590/2hQSxdNOn/p+TELMl+6vc3axjjel8Ks1HFUHhQlFWk1d5/U6laTPKHQTbN/+yj73Pz2im9QYaE09MURZOl3JsiAqLzgTwlB2DuWBZl4DlFuH2UwVC6lyf1MbQaIEOpXZLnaulifJgF4m00yRYJPSVBJvptgVrwR3ZvMWZvb6p7+sGM0TQBOWcwZm5zYpjMnqU7Sh3YiZmzE8vC/k2aND1lMIYwB/8tE7kbr5qpXTn79hlJzk+VMzpHENT5U7M6iMQSVuOU7HslGujqCoQXhxWBcnvahWE6DyR2HRUFhtKksZu/kmpcZVObCl208+H4VQBXYxB0WRzUtcB+B5wJnrbp3LEpvp7fFact+L8b2IMx3D4wfqoH10Jk90pUApz/aJCYS7DG6l6q7oS5WFJx7HHtddFDI3PaSz0mCQKBoKvMR9F5UNT1JxFeA4kBd/SE5UaoqsbzIDjTKkRuAZQaokqTKkSpBkIK8Wr+XlEDIHeQXUecmEwGQgJytpzhOBZdJurBjDlkzO5OesZsWLyVqO2aU0BH5Msx7Rbg247YkaC82tN7z/Xa971Q+87y33/YO3v2l9gG/fsISQ3X/QNoNrv3jvgNOrMwRa0PKyAwjFABuVbxttXcF7efVVluHxr7MW3FBc5XlWrASHLRh8soRT57URWQ14XurpmovzThUnS1TRvVICO2++deydaW5NobdzS9Axdglur6hOjBHEfPHegPufbSEDjS+Fu/BleYzK+SzVOupybStGoxUs7lgqNYrhyOPmK4d826t7/PYXW0RpQD+V1FJLmM9WH6v6M5mcMxMX1IsxORgti1bCHNypkihlHKNLmY2WyHe8MxWAV4Atx8soSpmSL9KVFX1N2YIYj9AmEoJlQ4xTCVgK96gexMwGPRZmQ544kF77zOHePwij+L51Gfz5/ScZeO233PaNL/3jhx4/y9cenWZgfHzcASl27BK2GAOcn6SciciT7lXJVQX2hD2agzsHgKyAQlLWPFRHG+TM7bYgyV+TMThFG9YYi2fdMJ4aB7cbpzDB3FnPpp+1t3k6bzhIKveYiJg//Uab1AaoIntZDTDLvsbc2RjT4Ey06xnppkOlebCpEXi87/UD/vBLIasmZpjWGKYCL6FgcSktMhFF0ZmzCye1qKxYk6ICckGqs5ENKgO5dlN/dSpJlUWlroLRZY/LEXylRVmt7izLmIumlALodl0crAnLxgCfF+ON1y1JLEI5WlVS852vH7J7yzPcfPmuf3zdDe+860e/6/hXg+b2cYCncYRNhxcdOBLt/uRtAamapu0LgortlYOvvNoKSK9pCn6xmxBZzCHG5UkB9InyzEKLT2jOHPTV2R5KiVKLZxV3Y8NuMmBrJUonpbADXce9a0y2GXOXAaausHfgRTx+QLL/VA2rPLcVuTToyTqNigCfPKn5Pe9Pzevm86RP7hrs3hJzxYV9HtxXJ1Y+w0RQk+ClFp2ITL5lXThJpsORTi6M/cnxmvyxxoPKGLbUuHoXB+6snU3ZCrjzWiCblQnkTE6xeogKuBH5xKx12PtFbmXIVpZ0lADKK7dc/c5gVGfzjM+brhlRa492h8PwojSJv7qGwbvdVWwaosyI+bokyT6oElVfl0p0vB5Lv3gap6K21hTOjwG9Am5V1HyXtlspWYTrnhcluF2QKYpucV2AW44BvDr8x3XbUwC7yFYWzJ3ia5fYcV1BMZaYT3+jwdJSHRFo57tXL8LJGpSJw1PV3lVWHfOmjSKONfOzkve+ocfjB9qEaY2B8qmnTovn5axKkoE7XytM5onn1R+O9yZ1rsnmPVanUrm7RJl8RbLF83xqgso1uMz3O8qliSybIyYZfKJppcTJpEtuK8BehxyFxQqbNci4FW8UQn8gGCqLaq2SJmVxYQHw0wf+zA2iNMu0W4LOwLkRk5pYTmK3clXmFWBCrM/jovL7Yr3HKqCrLD42XqxkbFllcCUqLJ7LFYnS4wD3dTYAyMu3DswynNriFal4kz1Px+5auc6d54/Cp25vEUofJVWWvRy/ECczmJOHrVpSOq7DMy2eJTeCVPPeN4/4+FcGPH2oTqw8BlLipyZzjwQytZXjZF17mahGQCb7W+P7FlWZPDWgCwvRjbZWWUmASm05rLOYyyKKCzqZ0OPufFaL5agweQ7Wb7XWr4MfUZZNG+EuTmkkWlmGCXzlzr2cXllBy3Qc4PsOneTiXVsan/+LD+7ae7bL2a5Py2PMjqoy7dhSUwV41RGaPLGV3xurFmRtSnutRBEFcCbHIcsKY+dBZj61Set8k9dMe6sJcOfpey9vTDZuZkjRIpb3dCbZPUZ5EftPanqRD0pn8sROlMdOXrjjCB8faDThhWfdOGXiR9P0BJduHfH0/ojUBAyNTy11Nds60+BKuI1cXWIpZ0tDHmSWTF6WMOcd7roYbJptXGAglQ7wKtudQppyQkA+XSvNu/sLA6AMLovAc+J8T4K7xMralX+yDLe6IkhpkSZfRQwbZvps3XiCYGrDrv/jR3+i8e9/6nsHtdY2B/DjJ07T7ay++cmDu3/i6w+foOlJ6p4ZcwRkhY1yTVUFcv606poInHwSjLN3+WFdPqcKhBLYZR+jqrCiGhuqmYOcskZaVUBdPM+SPIrMC3fgdgAuhwJ5VXlSZW+V9XX6Ecs9w//9Zy2WhjVE4Dl5Iu3YqlIOzvnmmnNsmkA+J6ZgcOeoJImm3dD82Lf3+PrjbZZCn0hqhlLiZz2U5ciH3O2q1NMLQ15GazEZuM1YCXPeiKCziVN5kJ6DXUmRMbiTRGnholDIlFKHl+2EpUzJA8/SKhyfgTh2VCZom3IFyF8Ld8EJIZHSZBWsDW66KKa5YfNPLJ7ee59J+39eMPgLL7xAPfDpnjvOrukYg09qJ3WxHQfmBLCrT8R6H7Dy347JlDENXmZOhZyUKOODaQpgS4FU5fgxVQG1lhKdSRJdADzX3KYIKj1tCnB7Oq+/GGdvT8X4fsQnv+Hx3ME6SA8pJUFeGjsh44o+TCHGjtUacFcTPpYxmZIYmW3y5HHV7gHvfHWXj3+lhtEBQ+kTSFGsskoK4kpAN8nkosrkhfM13k5oFCjrVgXXPE4x29GxuqAcK1HOoikn07o+TiHH5clY7FZ5vlYJjLP4uBIoTQgoL6a8238UenR6hqBznvbs86Sp2xhCA2ycrVOrBSzM+LTrMEpssXfK5FK7LrjXAfbYSS1YXJRXY2Us2BrPuAgsRcnmBUN+K4DLEuCqUkOts7oUj0KKeKp0S7zKcKBSczv29rSbWrXSMfzFnS3OdwKoZe6JqARjLyJRyGtEJkhqXdsutwyNxKS5m6KZaSv+4esGfP7+EUv9gEhphqnM7EmRuTeibMaWk4kVk5Uxu7dMweZlb6TOnRWVPZfZa+nGX+fHvQpyIUWl+z4f4plJkzE9Xp1ca9dZ0UtwF9ixFXlnK7NwWLtCpEbSHViG1CFokKbKATzuP49uzF5wbP9DP/74E0fojHRWx7E2UVFlYMid3W8O8LEvUvw7a4dmjrH32MHKZNIYsMdnf1c7XNxwd8bBne9skDO3qjD3GgbPx02UIye0cpnLw0cE+47WMAQIqYvm3KrLVMYPouJqlAekWotSMnklY1cMj5dlu1mqwWou2xmxe/OIpRfq2NR3LJ46maLFZLyUSZUK67maZVkm4GzG5rb0yY0s55RUYxtl3EVjJJn2zs9LSUYFuI3IZqnkmlyMgRMx3rhcfW8NsxcXhKhgqKLzs4tDSsv8dMKj+/ezYHb++M03vvLJex7ed0SfXUmYMaNNzx2N3vLZ+04zGM6x0DR4alxPTkqMSUCPXY1rrs61j8WsEMZBPi5PRBFU5p0rVWAXj4psFHDVB6/esy2tVRXcFZBn+9V7WWlozt4qe611jFIxX3qwxf7zdfBLeeJVrMuxC5a14yImb+Njzqqp6cruZnkZbaS5cD7i7TcPeOT5BhiPJHVa3Euz7G46LpUK5hyz5DKQW1uRKBW5IrPnMltVZH53xz7NVgwpMlY3+QprC2IqEz7V5xlQxThQqRDeOLCrmn28Ja5g7rSMA3xpWJiNufrC52ltecVbPDXcNN0Kj+gjpzTdoWbP4RpnzjXYNus0qtaivELzPz5xstYLMqvgz5lrje6eAHX+ejJAywEt1gF2weZKVJpwK+DO5hOW23awFti6HBBUjHjTJgN54uSJiqk3Ih7cq/jzO5sMRz40NFoKPDEuTSY/f/U7rwtwJvT3hGVY9cXjRDPV0rzr1hFfuX/Aw3t9bNNjmAb4guJCU8XfL5fxEtwlyO0YlEx5gSnH5ql0etxUWDsP6o3MXQxR0d+iEuiOx1AlMZZxgXtPUGXkcRwJKnCqkKgt4hpBxbYEugOfbfNNtuxQtOZT0tiipU2xacyUb7hwXtBsuD0lx/zcdZeOUi+tl9qZZP3x12Kc7SqOSfV5IUVECWqpKrs3ZLu56Qq4S5DnZbMWrcsRyjrbhEmrcaB7BVu7u1IuwPT9iDhK+coDDZ4/1gDPQ0iVgSqbG1IJLoUcP6nVVaw4RlXWJpvMWslkOpDLQovndmEUaS7fkfDWV/Z56kidMPFJpcfQKPyUic+Se+FMMLh7tBOfBZVfbAajBCqvK5ICq0DaUo8XK6oEaSqzDE25ashJgIsXw4I75y+W6VxLDlVF4aSLlG4abRhLVjpz1DfU8FsQRQL9ja9/BU9rlpY7bN/gk1aGrogX/SPr3CY+nBDlh1nD4BPMvQbgcjLALHcgKKVJxSosGDsHeDk5tZAoGXM7xrYFU+visXzuZcGlVjGBH/HsUcFX728wGPrQ9JAirxykYg+uk8WsfM/qEc1rURy6ssrCdcpny7kmquj2abUi3npLyOfvHvHUoQC0z8hI/EyLK+M22K1KA5FSyAPSiQyiKp0crSili3Rsnq8qeZBvrAO7NGWiTZiqm5Kdc1My+2SOY43knQD9Nwf4BNhLysdaQRhpzj/0LJ5/FGMStLRdMIJAR0y3NGGcb7K6tjmhODQT2dU1Vx0V/7v44GLsCl6XxWUF7FXNXYDc6e1qNlNlsUJeUejaubLnujoffALc2d3Lp9BmBf5aJe6uYzwvJrEpX7yvzj3P1qGmQbqGZq9SwjtWGlu9V1+scxubqU1ezlo2I6c2n2tSAj0cebz2qgFvf9WA547WSBIPKxRDofFSis8k0pLFy4+wPpNXh9grlVmG0rG5ey2QRhQ6vPD7c0bPV1uTB3ylxBxn73HAlyCfCDKrdJC/mcOxcm1Wj6OxbgPawcjSW+yRmiEIi87ncgNoLbHYokahuunTevvjTBBT8WSSsavuCZTTVkWxpIuJAzIB7DGpUk3TV+7ZjgUl0Ct3XW6CmgPaq4A6d06cY+IelYrxvZgnj0g+9Y0W4IP0EEIVXUQq20i1mnWtOkLVEGkcYOUJG9PhpqLBrcCkrnXPTaFVRfreWs37Xj/kjgdGPHrQTRKIjWKQiqzgKwNdaovlX0yeqrzmw1rH4lWgO2LPTrXFyGw/nzwoNqWElXmlqa2A2pTed6HFqyRXgLqCi0kFsIYxGZdVYxdmmQmO0+xzKfcf6sWlFCEESWqwuHG6ppK6pTLEPP/C7sCsZaTS9ik/7bhEqUxZnZAlpVQRWbKgtJ5ygBdz8qogz1rTys2mbAb2fAB+Ce4x1q485o21uVRRKsHzEuI04a6H6zxzoA6eB9IFl76wlcmx1cBKrAmsxDqnrLTp8pMlKq4G41o8a2UzKnNUUk0YeVy5e8Rrb3QsPkwdi4fCZ2RAp6IM/NLcLszS3mnlIqNCYBXectobrLJIK1AWl/20AmEFVoC0opQqlaCyZO/svJrqhV/1ssU4CY7hx07SQaXFbXLVqw5Rcr8/05YEvsYYi666HlK4RAlQ7JiV1yznS1jRQ1f+1fVBnkXvxRepfDGxBtjZlZ8DOvOQx+pPBMXeO8XuxXkp71jDQ7l1iVIT4K4MxS/cE5WidAXgmUTxdcz+04Lf+0qLMPag4WXyhKI1TVV3CS4u3DL+GNMrkzc7DvSqTKluDmDselpc0wwk3/vWAV+8p8nek+7iS41ikCpXZZhmyR+E099pNpZjAjo5lKoAl7Y81zLT6NJYrHTnyErhAG5EGSvlTG5KR2wywKzuVbTWZbJjRLgG4FUZlz2v7hphTIVQM1IEi/q1X/tPG33f+w8nT564zNeu4k4q4TaTynRvNfFSAjF7fLG7GPeqlZj8HZlZe/k44OxRyTHLb/Kej0yoetzFoy51t3NQxsFd3aunLKbKdn/QcdHM4OmIVEZ8/AsN/vCr0xAEoGoopWkoS13ZbBwFRYOzV2mNKzOp1USUpJwMy1iAWsYSpe2YX7RCkjX+lr2QSlqENWzfFHHyvOSxZ3wS4SYPGKEQwpXSrhf3rHHCxgwFMbaqFBeitZWLgdL5YR2pQNkAU2xoYFmXeSfzAPlsS1OUD0x0PE2W9ha7smX37GcCuPTyl2162bW3fE2fP3dqGjN4W7OWorWbHuuGQo7vUGvX0+WT7L1GqjDmWZaypCpJqho8W+qqrD1WB27HtLcswFBKElXR3qrY6aGyEZWyE5IkrxTM2TvG0zH7Tkk+8fUGbv6KY++icz//+6Iim0S1eWM80BTVFwWAJsBhqrUh5VxBF3hmWU0rMakiVZkWTzXf8YYBn7urwZ4THsgIKySj1EOT1YvkxzrNzlYqCgngoFqRTtmYYst415bMQCgtSOtkS667pXV/w5rMHzdO3pix1XncRVnjqFUAtN6CN3asLJXjkwO93JcToNMbsfFs521JemxaN2shSSNmbtotU24qldvGLUncJkAiFRiRj9iqdvNMgFuMPy/lybgluGbJEmv121gNeJZMqO4jU2rwcqvAfGc1NQFuN5HVZI/ODlTKoHK/WyUomaAyeZKqhC/c12TP/lJ7SyGd91100LDuCXRSb1ySMXHS7Njz8QbkMU+8MpFKG7ctTCrLFH4Uay6/KOQdr+pz8BMBUapAaFKhGQqBTjP7rhCLuaNStSJsKQmyE2utQFmbddI4aWKtzbR4dhe2TPELMNIB3+QypeKDV8G+NtE3bkpUCXIM5BX2rzJ4mlqS1G1lnqaG1MBgFHH2/JCUATrw3FZ4Uw2Dxbi9CROQUfa1U/eYZh/GTrB4FeHjH7BqB01+wbWJgPWbG8ZZO3+ds3YO9py5C6CrKpOXulvlQWS+xYk0aFkOzVcqxfNiDp1W/NfPthlJj3yCVtk1n60g1RroyvcYX75e/Da+fGduhh0fm1Auy7KoFc/BnRpNknoEacI/e3efP7urwcFTGlQMRhMLj6EQqLR0NGQ12JwAee7NW9zGYgVrIpDWpectNmPt3BM3Y2xus79jpEBYW5G3a8ntxfIjk2SZM0KVAIpt4lNLnBjixBDGhjixJIllOEqJE7exrI4TZ0M16o7JwkgyCCVU0sfFyZBi/MRU8T3mmoiJD15h8KzKbT0GrAJbTLB2nkgZB7cpJYocZ3A95m9nYB7zuyt36b67pyO6keG3P9/m5LkAlM6sQZnJEzvmexfPJxmp+O7j2weuC/Sx5Td3rxjXnDYf3CPHp2BJRZpoti6EfOCdPX7p93w6sQsIrJWERjnbMM0/h3VMVQiTEuSTvoXKrkJrKZhb5ZnNPACVtmRwWzl3mWVoCwZfb7Vbv8bpxY7XmEQxFNI5SQ1RnDIKDaPQ7e4cR+77aS3QWxf6hM0eTXqEcZ3+UCOlR5pCmMiJjFxu1kx8isllZtItqYB7EgyTzJ0Du2Ttckprwd5ZwX0J6AqTa5MxuimkiZMjpiJVcsZOiketYnQQ85kvBnzk021C4zl5IlQhT4qm4glLbEx3F9994gC9CIuXDFXJaBYnNE/ZW4wxRXazSOEbtxV4TSf88Hv67Dvq87EvOC0OilRIRsYFnDKlYPDquSTzyYuPUrErHahLyWJtxuai1MKOdKyzD8cSP07GFHXpGcmZKsmN6fFxwK931EqQV3ZSNhDHbvpwd2Dph7Dcgx3nLdY36DPdPsN+B2HOcekFTZY7DU6cbdHp1wshn1nfxUm0FSCPsXblw1UrBRGTV++kf1xZRsckiq0EmdkW3dUtA1XVdTAVqZKDucLksqwOLHR38ehmDS6vwJ99vcFKmIPbAdyTTntrMS5Pxlad3C6rHpd18F1lohzkeUwzVtVnROHvVjt9ijpxKVFGYYwmSTVTfsq73zjgc/c1WOopkDEYRYzT45PVhePgeXEmd3mgMimU16fkwabNWLwAdOaTG7v2nMuM2nOVVDJ7tTmDghyqHJHH59XrMs+PGCtY6sLR84LlnmDLxiELC33m5xroe5+aZ3llCFFEozWiPwhZ6mmWu3WGIYUHXjJ3WWe8ZnmpvK66BzIHfVV3Fx9yXMeObV9XrfEoAstqg8F4UJkPpynBnY4FmHmQme9zoyvs7TUSvnhnjYefqWMq2ts1NeTyZLzepGjNYu3FPObzviiJZ+xZBFClRJlshrDVoNNKlC198ST10Cbhpqsivu0VA/7gSz6oCITECkFoNEoItwVJHmiKEtSTcgVbMrnKeySsO/5FDCYrhWLSzXgpmbsiUyoFeyYnMeF+QVaAPJ4AqnjiFbKo9h+UCUCFlLAyCpmyQxrNiDffsMybX345s9M++m03jFhaGfHnX1P86Ic20Gj6bGpoNrRimnWN1pVipywBswbE1Q85+YEn3iuZZG1QWTavVot3xoFduijZa2XR2YgxKTPHRNpMV1ckSe6YyIpEkc49CbyYg8ckv/fFFmd6vtvvWrpB70pQ7tgwES+s+Z7VY/PN1UnJ5oVEqXrFE1stVjfRrdSJK5k/uu1PNjZTvu/b+tz3TMDBsxJEDCgMkpGQlU2koFpGK8auwopTVsy8EYUOl9JtRlWwuXDPczBbC0aUFYbuZ6VMkcL9XAh3gQhRAtq1n+Wls+MJQWuruCn7BDwt2DIPr7jKMDfTZWa6wxfuE9z2SI3ZmQB9z7MxJ85KvvLIBs6cm2GuBcGsoalTtHabjVL5R1/MGvtmoC79TzumuUuZUql8K+qrK8ytcsBPgLyYkT35PC20d87iOh8HrBKUTNGZLej7MWFq+M1Ptrnn8brrbZPaaW8pXdeOKOevFJ81X1kmL+4JJq/iXEyAezyDWboW5R7v1fLZahmtazczuaOSGhKpUYnmtddH/ND7uvz8b/qEiXQZKCNJMldFGlH5bFm2eWL6q5JVJid7LSqxQdZdb8FKmwWYeZGWOy65Pp9serAVTNgJvGDLi4DKKlA1Kgp5IlySreZBs26ZnwrYMjvD3LTHm67vQb1DvXEevbhU59y5JjZscNlWtxlqqyGy5SjLYtnyH1+XwcYKaiZBbtf8vAR3dbDP+GyPIqgUZBm8deSJtEW3t9s221QkSmXsb667sxnXRXApEzw/4RuPenzungZh5EFdF9q7YO8isGXsvoa5KyguwF6Rc5P0XYkxKfYJHQM3WJUxuhmvFU+NRBonVXKgJ4mm3kh492uH3H7PkDseVc42RIKQxEIzpDwX5N54Ra643WbGNbm7V+pSZPY5Jajs++WvZV6rIm0BYCkc0wthnU+eB7uSCTJ071tKXAlbBqXgWuEs4xhMU8HSqiZJmpxf9al5NeZm2gT1BnrHgkInkhMbnCvma7fLmOfJbD54eZ90D6osnOui8sPaNRdC+XvjjD0mS3Kwy4pjkevfYj/1bOJWkdzJgVwCW6sJoKsS3DoDt+/FrPYtX7yvwd7TNSdNhCuJFbn2FlQmSNk14C4u+CL+EBWgfxN9koPbOtbEVrT4pFSZSPxM1otLqZAmRRpNHGou2RTzba/u8/Aen06UpV+N0+MRinwfCEnmjY+V0ZZrjsUld4oLUjrwqaylrWTzXKpUGVwU59JWWBxc0rCwE+UEMVaf20w5ZF30RrirU1RmuKQGokQwGCmsFQxDTZJourZNrdFC5/Xfge929s3HCwdeOThnvdT5mLVXPeFFQ+jEia/q7jWae5zJqwxeBbMQjAWXshjMbscYeyygzBM5VRdFuk55Q8rvf6nORz7bwgrtrvAx9qbU3uvFCpXvXXWUKuHQ+hivyJIxlhzT32UV52Qrm8nT9sZgUomRzhdX0hCnHlIZfvhdAw6c8vjI5zRxUoLcIAiFRJl8kERukVVAXoBauAwObhEo3851OCXQhQOyzP8zYTM3pRwxYUWpsW3O2Laqq7PnVozhpfgoxTF2GdM0hURAKNyufkkq8LSr01HS7YqnU+PKZGu+pFnLC4KkG1qpyxEM1eYCOQFuOQFesc77k0Fm2ctXeax43Dmzl5stubkbk46JzMGtJuTJxJ71Ktt7xmnwGM+POXBG8rm7mvT7HtTVWvYuar4rq4uozGmkwjoTz4sg6S/F4BXQVyRLdW6JMXm9RwXoMge6xEinxaXUxHFKq5nwrlsHfOXeOgdOZ0kFN6CaVAiGWfJeCBD58Hdbgt0WoM7cEsoacadociclT9079lYZAG0FAwXQZeng5DhwK3pFmlQCzeL9zIasyr+0wh4W9+8nSb69i3N1BAa9YbaBSAdMtzS1QFf8RTEO7ok67GqAOMbYguIDjidyKs2mY0u9XSNP8nFgqsLi1cSOFNXB7LlzYsa225AVWSJl5phkTK51Qhgbbn+oydefqLvh4NJzAJ9g79y2VEKMS6tcywoxdgHnCBffCtnjhD4O9MrdmCx7mDsp2VYkTnebUqYYSSokKpUYoYhDzRuvjXjjTUOOf9kjNE6HZ5VQJGhGAqSpbFslRGFg56kfVQApd1Sya0VQAB8hSrLP3A6b4WgM6LZsiDYFgDP/nElGp/LfikLju78ox1Y8Y101Yb4hl7WK/jDAr9fRF164c9VTyVfOn2n8L2FkSs9biDWgLkeTrXVDxhgbioxk+byUKqUTUQaU5bJfzp8ugZ0DvSwbHXdOxvW3KtLvaeV5gpSuU0f6CXc/6vPLvztFanXpnEiFENLtAyTKtPw4g1fjh/XZ+y+RxCyRnZ+oNTLFjskVQz71KivGEqWjUmhy6bxxYTRJYvD9lJ/8/i57T2jufkRifJFB1n2B2CiGY4LKVmTJOpq88MIzPOSfNyOsXIeLzAs3FSa2ojzH+epmK6RXeuMUiR6bBaI50Mvj42pg8tUtNeVqaYzFoEhF6yuzCztW1StfvrUfDs8f9Dx+KE7Son65OlekqMXOJURFrpS2XaXyr7D2Ksmaosy1EiyqUlOXlYFVC7CSyKkElEVB1YuAuypV9FhCx/VanlgW/PLvTXHfE023KY907WhIDy0FdQmBJNvkyq6t3R67Z0RQDMkZH0aU17xLNdEwXZF55WtRuegnsrpVMqjMASyIJCeY6s8szM8lBNry8NM+q0M5sdTIYop4WXHoECfGgF+9Wr/V0lQpxp2oWbKVnxVFZjAmz4rrvohTRPlvVKVcNSjPalMSYwmjlCTVHD1x9vsef+LZvTpJcd0axlmmqSx11qS7UbQlVceDZa8he031BFSYnfETM8bgleCydFXGpYmc0Nz563XvqhpYZqWw2fPUT/m9z0/x53c2sTUFQjl0Co2Qcqzfsuxv/CYd84VkybXJuud8jQduJ15XAQGMBZrj8wuzIDObH2gz5rbWlDUqQiKNIhUaOUx59+uGPH/I40Mf1URBMmbUW+MRZrUzIs+vp87EttgKKG0mS9yFbLMexswAcvJBZEmePJ0vygXBVqSpLdymyus0Y2lZnZ0iCrkjcp0vQFqLESLr7C8bO8D1MGhdrjS60NSZBVQFcnVXhZIhxoNLqNh/cnzY4prMZQX4VdYpRvDKEuhVqVIWV5nM954AuDIZgHOQV8GdIiu1J3c8EvC7X24ySrMp+CK3BrOspbBj2nvd1HwV6FQBPyFXxATK11UpDiG597wmo4ldU0JrZSWzKSvOilBuiZZZcZY0pEYTeIbvf3ufB57yueMJZxfm3jhSYKwmNK5DqygimbQOM6Tm16DKfiebQ1+AXGb/tDW5PVhJ6FjGNDmC4neK41ZxVXLcGMZdlrLB2dW+lA6fuwJTI7Cpe64Pngmzmt+UQFh8TxRTofKTPAnq8mSOuyRrXBPGgT0O/Kr2LjcykmNLdN5cYEqgj+lwM+6BT7K3TMsAU8cMQvjF35ni0MkAq8vdkse0dy6RxoA9AWjWAXMBYTGO528iyCc7o8YzmtXiq6oeX1ubYmRWcSirLK4QqUEIjYwMF26N+Zkf6PDAvwrojbIvY2TxuVI0I5t9xpxyTQlyKwEjUFkqP3dYVMawVpKPOqzo8NwSLLPgds1jla15EWxlSaJcWZgyBspZXEt3gfq+ZGE2olGP3FD/lf4MFoWyA6a8DrWgHJRTLXYS+XevsPakv+0+aPWD2XEGH7sIyr1dStdkfJh6AWxhx/sSMzYvmHvMNanszpt53lrHJCn8xmdaPPFCzXneMmfu0jnxxLgsUWLtRVuAfYK53Rv5cilelK/XMPmEc1I2QFAWM1lne62pNhSOwYug00gH8lRiRHZPM6liDNddFvNj/6jDf/7kNFGaUS0UUWGKIjS5Fs9y7RWQO4niQF18dJFtvV1lcwnCVLzrXGasA3SRSVvGpseOz07Jz4F7LrLmG1sMF1JSgHJEGtQkl104zZZNNaLIoH/0n/xDGo0me/c+xwP3fpWaLwk81w2TM2xORJMALt+fAHleHYhd50IYB/Xk4PSq9p50TsZZPC298GpSZ+yeBZa1lK89FPCxz7ToDD3nAWaeN1mTrnNOyqxltZS3qsPL0WzrzCAcC8tE8VpMAnqCtdfgfQzolmoCqGTtbCpsLkmqSSDhbMRUKqQ1rl4lUbRrhh98z4DHngu4/UEFjaQUthlrJUYyIo8pSpBbXGkshW3pPO8sVsWYjM0zJs9BXOhmUXrikwV7k6W1eQFYzuymgj+TSZuScF2yJ81igv4gYXrjjVx45VX0+310u+lRr3tMtzTzU5Z2I62Aey0Hje9/mJ/cF5MtVRuo3Amg2HpOZhdBVZZUJEkpU8wE2NNxv1s6K1AW+6q7wFLKBKkTXjii+a+fanNgyXe2UOZ3u0dZsnfhVkxMrFpPnoxJk4lpTWvVyLhKWeMuVFm8TKwUjRCsl8afGBKUF2JZU2wqK3KpIixCamRs2T2b8M/e2+PIGc3+kwKrqwJLgPRIM5AzAXKyJJAqTn7md+OOFzKbzJXbgaJk8QLokqydLQO6LXFkxDrHt0Kw1WMoMiLIg9VIQJyk9IcJw9BtAZ6kCl3z3ATWqUbK5vmQIHCd9VUTvdhueeI8lUCvsHx1eugEa7vnZizBM8bcmRZXmQwp2byiu5XJXk8mc0qgK5UiZYIfJJzpCH7xo20+940G1lNlOj6TJuuxd1n3vTYlXz346yV1qoxe6vBxwI+x9gTY8/fW1qRUdXgO6GoAmnf+yKzWI3+eBZ+pIcHgSeeqdELJT/yq4uyqgKBCt1Zg0QWTV0GeB46WnKmzorxs4k7ppogsdT8uR2Suz7P3Ct87qznJj1k1AyzEixOGu8jLi18IiKOE3jAlSSFMLNr3Bb4fnJlqJV+96ALvLWHYI459okQSJ/mc6vyLT4A8X04qV9XkvixCVlndjjF5+dxUSlDNmHNS3Tpa5RWDOcArmUqZuSbuuas1iTB84f4mX3ukkdWaqEKWjLN3uWtwdd7gWCZ2DbOUWpzKzyZPRAF+yzpnqILxKqApPWNrMjCN1ae4slfXH5k1QQiBEFniJ3NWpJQYq7L3JMK6isNAW978ihHveNWAP/yyIkqES9vmH16CxSOxgpEpQW5zC8NUNblzVGyWkCsCTeEKsgSVjh9KB2QM/DlWiuMl1qyGYuKw5ccqMZYkdQVX/ZFhZnaefiS/GgT+GYtE/fJ/+C/863++a7VRG622G8vf7XEEITSWzNisnMzJxEOhTaUdr5eW1QC1WjhVTQxl/52q+tyVMtgxK9CW4J5g7mpHvM7ArXVCKg2fv6fO//+3pjh8JsiaGMqEjqs5EQQSatINstfZGLjCRaokp4rJtQLKkXLltirufUmxrYoYH3zkqjHleOImd+om72LymK/NK5TWWD5CeL2scSVAE5VmAmOZbadcflHM8XOK/ce0G9Mni8u1uFptroGL+GLydyav5MkLeHye1tqam8pF7ST+eI187hpRmYeSJXcS48abDCPB8khy8HzEjt07aLan/o+vP7zvoX/6nte5PXo+faclCCwv7JfYUcK7XtOnHnhEsSq0eD6T8MVoaK1MsWvZfA17V4PMiT3Qc5miStdEVqRIDm5ZCShzS9DzUg6fl3zss032HgygpQpJUiR2pCykSdFnSQU0OYCqzF29ywrbkANonNHXW+2onOzJZI87amYi4VO6KLKS3aum76UAY9yuw7k3LgpmlxkWrZt6ZZ03HoeWyy5M+P539XjkGZ8ji7L8wibX406GJFIwyuOBbISbNbZwUWxFlzv2tpg8lW9yDV7xxK1dezxt+VgUN36TWzWLOYgEVoV8/ztO86ab2szPT5EkIb9GtgnV1NwttFt1Hnu+xdPPnOXa3SkbZ3Vx8Kyo5krXuYnqUjK+H2JVl1f3VFzjf08AWxTBpalIlaotmIM7K6YSOXunLPcEv/6Hbe56ol5WCRbALqWJL5kYg1xekEpUWXAi+HkR4E9a4H/ZW7W7fozhxpgslywOUIVMERXwVzKd+WapwtgM3E6PC6HcZSQM6cDwuutC/rf3d/l3vyNZyTcIzhIm+Tab1miS/CRX23WM09mlPndkYXFZxtweXNvFk+3hY9dz5F58QVjvuAkBdc+yfR7eeNU0b7zhSlrz1xe7HWuAKy/exiUXbrp9z5P3/bK+ZMtPnDw7QomUwE8L+VCNl9YDeH6GyqBg7Y63pSderaWo7H0uyqCyBHvFJlRpBvqK3y3LbKVSCSNh+c3PtvjoZ1r0imzluO52s/tK52SsqKpyoCezl2NMvS6Y3d6Na4/Ltwb32HDJSkZzzG2p2IXVjVvLwiMK5jZSIIx0x9RmI/iy+YVCGFKjILW0vJgfek+Ps0uK//KHbYZjjsoEyAuXJLvYBK4JwrhdNsDFDKqIV0XRJCHcP+P0eAXowk6s/t/ieFWPuxBOVi5MweapgP1H51EP2V9+93uvvz3tnywBfunuzdzx+X8zuPoCcXhKC7o9RZTYbEBlGQwW//JYkZldcy7H3ZRcA1rGkjzVFH0F2GLCFiwSOyrNgJ8W3rcsspXOEkQbnt/v8ye3N+jGGnyFywCUnToIiSCTJsW9rHDM44l1M5WV94qDLda+T+W/+csgvUjXVxbKosueUofKYsSbqPRulvtrCikdmDOQOwtNYoRxYDIqY3ZnHUpjSWJDq5bwXW/u89UHfZ7cJ7IYUmTgFoWRbY0iyXV68TOywNP9JyoDtcpgkq84RV1KtjgUkgRKX7yiEl6UwW157FX2ETztDtKBM4Lnzp4//Nl7fmnw8V/7qRLgABdd+W6CIKATPky//3ixxbXOCptyVl7PTRm7wjJQj/vja6VKDmY5KVUy1h5jcGUmwF2m4XPdrb2Upw95/NgvzfDM/gDryVKWFAwuK7agLQb5TO7UsJ41uH7P6eTWdxMI/5bQHj9p+dNxX3zSLnTWmMyY1GTDeHLJYoQLcI2VDkTWYmwOfDchSxgH8BTrVtrIcs1FMR/+iVV+6N8LnjmQBSd5A2TuAWIhY3JgjM1NVqttAZWBepLJBSWD5xUBY7o7A/vkMSmOTf5efo1luIpTGIUpr7/5Em685dWEoxFrAF5vzuMHDeZmA6JOxFTTEviJ66guvl9ZCF/OJpwwcMZ01DiwRTW4LIJMM87mclx3F8GlWAvuPKGjPUPPSv7bZ5s8uScgVRXWFmW9CUi0mGhmqLoSskxQlEmpKqgnxkKMgb1klm9SfrL+Cauez0oWc5LVx5l9nZpx6+Z2G5O5NsJNpjXCkgr3DxghM+LJ9LixpBi0sFx3eciPvqvPT/5nj14iwKNMQ+aMDQ7kotKXaQRe1jBhhaXsBMqHBrnfyWtPcgavzk95seByTX6AUs4JBFE2NjmOUiwe2zfN0OsPi/+kBHhNoTzvwI7N8uAGP9wd6C6J0Ywit3VGmrdM5S5AfmW/CJ+Xe6XnFYaZi1IB+Xh6fpK5c7CnlcROBm6RokSCEinaSxkY+Njnmnzqa03CHMyyyt7Oj5NibUJnzT47VfZmgrErwfR4MkcU4F6L7G8lT8afV8tTJ3V4rgYmGb0qWRy4S6kirNPiUpos02ldcGelC0DJ2Dy1+MLy3jcO2HNU87HPtujHuAOW6fDiMYNOagRRBeSu2tAFn6r4vcrQzuyA5j2bRRYzP0p27dEaOz4VuzA1gigVDGJBHKVsmm3ST+sHPc8/gIiK/yZvs+ODv/Sf+O7veNnBxOoNB06euPWZg6do1hNmWjhPnOqk0GqhvV0DhBcbATFpD5b+tl0H3Bljj4G76p641rN+DL/zF03+/UenOLvsV7pz8mxl/tqxdyAz96QyDkIXIymq3Utlw0FxAcjJBmwx8X65xWF+F9X3ip8x9u+MFXLlPnZZzer6FMd+d7yXdczVkZWf5xddcXGud77y9cABcbqd8vIrIroDwXMHtUsCTUbUxZXs5mSZApXVvYnGl7HqVHKorEIVZi4v8vKeT/mqNl8nRhCmgtVYMDM/4PpLznHj1fO87Opdv7H30L7ffs3Nt6xlcICH99Zpt2pf+oPPz73zyT3br/2O15/hh74tLQPDvCcuj/QLB2ByTZ48kHbsPul7izWuSel5TzJ4tb9S1ix//qUGH/xomzMrnuvYkJO6W1HNWHqiAmQxsc8OZbS/1vsufe6xdHzlW68ZSvrfeasmN/I3cqkCk8xdGZJpnO/s2DqTJpllKGzpiQuRsbagsA8FmVSxFmEUcWjZPJPyr3+wy1JX8kdfbEEtZ3CxDpMrjJFEgqKkNndO8jqaPOCUmSappu5FlsrMHZaxY1EBf/7cVI6D0inf9bpzfPetAuHHT85uMV8ySTh2TFX1xef+9BPMzF1+rOWpG6d8ef1lO2DbgpcdhErp7JgjUtXa4+xS7F8jy/eqWcsyLW+KysA8Y1n43mPgTspKwZrhwEnNL31siif21CBQ44wtqrXeAk+6kou8Yyff2329drTJRgeVsegY8469LplcFMyeb/+yPoOL6kqQM/caVhfjzdwVZq9u11fOFpksXS5xmJetjhXEcrXXsgAAMoJJREFUUT7PmVkIR5VTU4Z6zfLA0x7LK7KClIkgJHvP9bAXHsgYd4/fKpnNCQs0B7ahBLKhwt6U3renoO1btk4pWsE2+qP5L546fu43rnvlj4/9NT3x13nTqy5AIDh/9gALUxGDUYiqh3g6zdwUk30QQbUIP9/+Yuxrr8vcFTlSOCnjDC6L5E2FxQtwJyjfcPCU5uc+PM03HqtBTZasnYO7YG/needjIPREKlyIF5EK1d/JALRuZWG+LIvyu1eZfhJw67kkxYnPmbpy8sf9ccpjXXjgtvC/5YsUZQncnpvCyCxJJBEmB7dCmMr5yvYlS0cJb3j5iF/4sQ4/++EpDp32XdBJhr78y1Zsf4skpuKuCOeTG0QGNPf9ZAF9O368KAFvKt/bVI6TyGInLS1tX3D4WIuHak2uv+ZCTL4T1TcD+Nve+lqk0NGBZ8+ydO40WmXedFZz7dr/84Hs5eSlfAjj2LX6TcGdBZzVgPJFwZ2VwsoE5RmOnNP8m/86xadubxCJbCcoqqDOZUoZWJZd8utsvz3R1DCmWyvgLABc+Z2qHfhN1Un1h+s5BVmAVU3Tl4+Vktn8daVOnBz0Y5nNshFCmoxhRZn8yWePF1LFWoxRBegxlpq2vO9NA1IDP/sbUxw9F4CXui+Ty5Q130WS8GLftYSwJVv5Khe1qPwn5bAj1yJqMvdICouHW5ETYznfNXSTeV5+0+uiJEm/NcBn5maB6X81v+GCK5Lhkddp2SHwEgI/QsnUfTcjswn7+dCZ6hfJmcxOMDhrmfsvBe4kswtjtDYcXdT85H+Z4jN3NIhk1u4/lqmset7uCxbDM3NQs9bzLn3uSi9pBbmT/vcYqCdp+69wm8T1WEaTtQVIOePnYBBVRyWrXSn095gOL0EuqiDPVXPB6JY4sXgq5bveMkQr+Kn/p70vj7ekKM9+qqqXs9177j53lsudfWCGkWUGYRgYVhEigSCI8fvUn59LXBLjkmA0JlGTqGgS0CwYjUsUEz5EEEE0iBodkFVhhGFxFobZl7svZ+vuqvr+qKru6j7nzgwwMEC+4jecrc+553Q//fbzPu/2T2XsGPYSunIQSx6DXKsrWZDbJIYCsT5oZFBDSyIBhJIgEECkcmzhx9FRgVJnAcuWDP5i0YK5H9k3PNW0X2n2CUI6sGvrf01Rp7CJMpfnvAjlUhXltgraSlXk/QY8N9Qt0ETshSdheqkDPTJlGWe03CQJ4hiHMmu5GY1AHYG9YxQf/5d23PITG9wmoEOT+0S5i1RzbrtKZ0brjXQmH5ClImlAZx1Mc2ib6OlhojvrYGZ18eRJYjlaRA/rTfPVFHUUCVVJ9TkUVrcsoYCedKxVzTyl0EUDHLjivBr+5n2T6O8MVc80GQGSA8Lc148lB6RKGIskEEggFASRtsTq1hroirRSkqBJbR9KgrogmOYEU4HAVD3CSFVgqEJQCQh8z+XtpcKm679z19Ts3vamXevMtM9FNPW+cpt7ChGVEydrU6A8AiMSHXkKxnKoSaiqEfswWydqcplP697EDuSQZoey2XJHoIyDO8BXby/huz8uIGBUFy5kq3OaNe9sxDLLu9MFxTJliLMBHlv/bsWvkwbt5NniOx3NbArq2GVr0nrNUlUApMePpPNTbEuecHGA6CoFoufMEynVMGQpQaSa8U24hAOBN1xQxaZnHHzuG23KQjP9Kw/TkhMdzcwSCUrSRsJ+xCVQF0AYRiiSafSUqroG00eFF0H8wmMj49Pv6+kstdy3LQE+sPgijO64jofuHPml72zBzzf0AJTBJQGuXDeGK85uwHFcBKEJRtCUs0SktuDmfLQjmjEnT0uBjAgNfstykwiUCRAHuOvePG68q4BGSxnQ+qcVH4fCmqtjgRk20GV8TJpC8/Zz1vGzubYN6NQG1joU0OUMj1PUJAtoWz/WabPEOgGE0CelVMlMwpIOm0GvQvpCIqYqSglMBDZC1QYeF3jja6r41VMOfnxfAZJECf2IOXn62iZBEOl9yUxTTXWU4qh4vDUxfoiJU6rfHHGJHKr4/XOGcNkZdVC4kAS4+/E2RP5pcs9EjX/4Pa8/fIADwBT9HUyG9Rt/smF06TPbR4uQBEPjEuAEZ504hJ52qUZocNUbL/FyTbhef72YttiWW1ly8xyL7yeWm5II1OWgDvCDe/L4yD+V8eQ2XxcMHwTgWrJT4M46lrYFb3YssxHMGLPWa1nekgrdo/n+QcHdKggsbXpCEg0ctmOZ0cTjdg22BZew9XKRsuLKjzIBHqEDMYJQZZy0NRfGqgsFdkYiHL8wwDUfnMBVFPjhLwuKj6csuaVNgkAF6wlCE6UUqjgjez7YGZzQhgiEwJUAiSRmd9Zx5TkBTj+ujP0jJQgpsWJRV6U495QbCSvg7/+s9T5mmGF94Zov4NQ1r3142byOd4Tj28uDPRS+B3R2VfGa1VV4rIipSg5h5OgpvBZZsQBkytHiblRZWpJKpNIlZ4SDOQLUBW67O4+P/Us7nngmp8BNs1KgletNVEWNR5KxI47JOzFc3I5WErvlXItWaTTRuxPd2mo0Q5Ix58mtNb+d2L3VbV3cOtFoM1VSenlaD7cbMNlNcZpmwpvYgzlJsz5FxmlOTlRLwU6VjymgxVcyAfR1cZywLMLO/RSbtjmtJaRUamWifZsrI7P2pe0fMWLKB5MqsUYI5P061r2Ko1brw+NPd2LPUB7tPWv3BbXptwwufHU4E45ntOAAcPqrl2N6ahKj+zai5FdxTn4ST+6p4LGni1g5qABumrzEgRpqy/0ytuqqhYTlYMbFxUnoPU6qcgSII3Hb3Xn8+b+04/GnLXCTLLidmHcTqni3R9SZG4/9M+CxOnQ1FRJb1jqbQJUc+Axo7GPYdHxbPNlqtXAsbdUESNOTuFk+jFW3rXmiidsW3SgqsTSoK++JrkYwVAXC+klEW2StqvD4CwAIgePnh/jMH05CSuCOewppcxmn2uqdo6oiwEEQQlEVIWXCZqyTXQFc6k6xEnkpEUUUKxZwbDsg8F/3OcgRgoHZ7VjVdixKbW0H3b0HBXhXd38DovKes06bdVMBDxWf3F3Hg092IawXwLgH35PwHA7XFXAZh3S0UykTb4wYgMftIhI6oirseQxyqjk3HOCH9+bxsX9uxxPP+Ba4M6VnFi0hFqidlg6l3VYOTfft8HurRKsY5PFtuvDBnAFpTB8a4a0iebCeiysFNbil+a9F70IJEvPytFNqKSq6GojoxDmiU24hlIEQensiqA7Ly9g5hGSJQxkAK+eH+Nz7JyEk8KN784mTGSdnkXQ+OVTTnljXtk5iczwcKuEywGWq24PnAP2dwPkntOGEJQ08sHEKT24leH3v/Eo9wHuW9M9qHGT3HhzgVIyKeXMHH/K8UydvvOWe4l0PlsDCAhB52LHPQW9nhFKeIC85iKfLzASNcxGAREWJc04sLs5iGTAN7v+6P4ervljGkzOCm6bADZrwbhPQiZUTZBWTdLIRNSdgBtw2YJMTgKTeaw4N0f9vlaPS6vJtK3+p5+wU2RZ5GSnVRMr088jwcgndBJ7Eaomx2mpgq9HGtbtHoSVH7XSK9E+gVD2X+ikBsHwwxN/98SSkJLjrvpxSSOw88hTZVidTCMCVBMJyOJJUDtVZzXOBvEdQzAHdZQYiyiDCwdsuGMfPHhvHpZesmTxmcPChXftGmsOXNoYP9mK+2IN8sX1441ZxxVj9vJCFPo4bcNBeZGhEBLUGRSNkCLkaZ6c01yRWZUuDSWpsVudOVBPJgJ/9yseHr23Hk9u9NLitAE5CURJwOyQZtW3XV1IN9GxofsZ02Bav2c6kfYRbPfd8VxPwLQQ3BTjjSKadNkEyQCfxyRM375RpbVxp4OZ1rYNnXhdC6eRcMAj7X0CwfDDEtR+cwNmn1MEEz+jjHFl9nAMI4/wSEkdxjRVnVOWaeC7UvCiHYnya4sltJQT1Trz3irXhsnn1Kzo72ocH5vUddH8e1ILn83ls3foMVq9cvLurIJ7uIDuW8aimVBMBRBFBxAk41zvD0JJUBDPRvJmVAptwb6VzwwF+8qCPD17TgU3bfRWhsXuYpPqZtNK7bd6NZqBDc2/YljsN6DTwLevdAtCWAU9HM1sQ8kOqKS2QHVNeYrUxbkU9kKYpqgdPoqQYyVBJiTKJkNqFEjrCiThvnIBIdYxj86iph7Hkqa8ccCw9JsQ//+kEPnAN8NMH86oNt/nhcZW+Ohm5VPo4l+kkKrOPFchVE1hHz4iq1CSemuAY6uzC0hNXP+3ml+4e2r8Lff0DB923B7XgAOC6DCN77t8+qzN615lr5sNxpzBZVZ2D4ogUEnle6aiZSnkNbkoFSFyJo4oWHI8DLvDTh3IK3Dt0uZlNS2jrYA4xlpvMUB3f4p/Ns20tPCX3ZVSHlBaesdo2BW9qa4dmVt4EbOtOio9rDyzL0RNCbqrss86oZbVNJEIgeWysOJBYb6Qte2zJpTUDSJgmQuY5pmd0akveoFg6L8QXPjyBc06pgnIOBEJbbjvqyQEpEeooZQxyi5Mn+1p1jHUYRbkoUAsnkesYxI59jXfd/IN7tsuZRcB4OYfa4JhjBiCiKRBW2rtrPLr7V09vPNMNA3QUc6m8DZMGS6kEZXbjzExAx+pC5XoRdoxR3PebPD75lTZs2u5DetmEKaOSpMFtDILKNdGSoLbMiewkm7h3OiMwDe6Urp3i2YgdWaPxZx1TG+6m7KpJhTnIkhq3xqlMVBN94EmWY8tkW2NoCFIcPrbqIDoQpNs4mAQ5isT5pCR2MCFUX2ISb5eoLOlKe8TzgxghQBhh2UCIf/zQBD7xFYkHfpPHjhEX8JHOJQeBoA4aQhsnSsBNzahWbIwiBKk69s7qirDi2BwWLF9493HLz9w7PV1DV7lwSIAf+hQA8Km//ixWrX3dKKHtUz4hV9Ym96Cr7KJUkCjmBHI+R87j8FzVdMfVk80cPZPScXQFjtXS2MuF2LyX4TNfKeOLN7ZhxwFP9Q6kttWeGdwsdiptnTvJQ2fxrelGZQHfdJUiaNa+zbZW96pEqyaZCpsk/zvRp7Vurq1P/Jz1etYPaPINLKeYzHRrLJx5D02fmE3Bq1SueEJ6SavPgnVy6yeIfZqS1CMk1ynlVPZ2cZy1qoH+2RxPbXExOkbj0UD2H5ZETel0kD1OCT1xHQLPVX1XVh6/GssWD/5pZfyZe3p6Fx4OdA9twc1ac8IA2tvaHurI1W9t98Z/rza1A8WcRM6L4Lscnga2awE7TrGlCbAZDeHlQ2zZy/CpL5dx80+KqAumWjxk+gY2A7sZ3HEaLNRBjOfdxLw7c3Ctg9zK6czyj5iHZ7IEs9LhkXQ0zUrC8Xaet0ysNTIUhiRUJFFOYIXxEeft29q52d7Ig1LzcMAQbt0di4qkaT6BnotJFe2gJKFEATCrk+PNF1Xhu8Cnritj6x7oyiAC02pWgKAOCkYImAAYT9iAEwFOAFSZBCMBFs5fjFz5uFuRO+4hHk0d9j48bID3zpqN/fv2bD/hxFM+MDH0BJsYdn4371dQzHPkvBC+F2kLrrpLOU4El4XJ8CcagrEQnh9h616GT/5rGTf/tIg6cVQ1TgrMWTmQxgjMgttOhWXGIkI2WaM0787SjwS0BMms9Pi1DG3Jgjo5CQxtOUy0W6BMVBIS0wwYamIDvtVtCsD6ibg8nVgOqEyCQDA0gABEd8YSRKc+ax2cWF4lpbp1nJoiIXV0FkLEnWbj70EJZI3CcyO84dwqICQ++eUynt7rA156F3C4qBIKwhHvaBImv48LDt/LQ9Li7SeeuOoDu/fs3TFv7pwjD3AAmNU/B7u23b9jxcqVG/du2/u7takDyPkEnhvBcxTAFbAVqJmjwc00uHMhnjng4BNfKuO7Py2iYTq+plSSdAAHUCbZBHJaN6q3wuyZnO8UDciAPX25T0DeEtAWqpsc0gyen4sxT6x1s3WOuXl8S2Igq+0tTm7xdGPF0/q5FQgyyozh4zBJV2oHxuO5LUuuegwqZQzqq6jEKaL/qeGBACGIQsBzOK48vwYQib/85w5s3w/FyS3ZKIKLCii4RPwv0s01p6oCg4OzcOJJJ2388c8e2PHa80479M58rgAHgK7uPuRKg5+TjY0LK6O73iijET3yJEpGZZuxfXoupeOE4BC49zEfX7q5hJt+WkRA3KQZfVN0kipgayQl7R6MFJiZoUNb81gFUtnyuSawAy2tfgqyM1jvVutwNfJYIsxsZ7flaGW5bYdTWWxbKbGjmbAsdqY4Ajr4A+vE0k6p6XVo/qbQXiWRAKHUbAiiQU31zouVGEoU8EMKx4lw5Xk1QADX3dyGRzbl0eAy+aFSIJIuKpQhEAQ1TpBjEm4gMLevGwPz59945mknfu6JzbueLVyfG3Mc3nkzqNtfCEb+804Z7TnDYaGq0iHN6a6OG6EuOb79wwL+6stljFdchMTV+dxZ+Y8lHhPUjXFA4hA8Msk5VFoJPIlqErdyju/bjqbVEoKmTxKTXGWq7U17ZPt1M1E3+Qxzn+rELDMLM2kdkXwOaXJsY+fKTvyK/3YyASOZPWoXb5vfk25LnQzwah4LY7entqVcu5Ve3CfSNENtqq+1J3WYQJ5I4h6ZYJ7DQgjCMVmh+IuvlPEfd5RQkRYObDkYDARA3mVYMth7z9+++/zXbtk1Wv3QOy561lh91hYcAHoGLkd94p5qYd4bg6m914GHw8jnCDxPQnIJKdUPdLwIFQ588/Yi/uIrZYxPW31LrCkLWW3b0BEDbCX9aZ0bzWH3bJNMm3aklAko621TEPs0tztXwbyeoiMkS80t55Mcwqof2pbY0mDMzc0LmoYYGTyhKlr6M9w9/iDLcsN6nAnnGy5u6Ih5u/44CCMZwvg3aqnAkZklb+ZZqtYUkoqUns4YBSQBoxG6SxGufs84GBX41m1tqARS1XnKCAgpIAh8Dyi6HMf0zMafv/t3ggYlzwnczxngAOC3HwcpxYObnzh3zddvuj2/aukkVq+IML+Ho6dTAFJi836G235RwGe/3o7xaR9wNKjtpjwWsI1VNlbbRB9ToI6Bm51hmanOIZnJEzaQ0ZqepGCY5d9ZymHhNet4ksMEtEFT7EimlJAEyPbrWY4us5+T4uQWXSEkbo+WUJykmaee4ZSkjVipAUJHOCGhCpdta66dVEJ0VwUiQSVVVwSpotZSEgiW0JeOYoi/+YNJ5ByJ29cXsGWfB4gIPV0C83tCnLi8gVNXAoXOc2unrZz/IKWHjEceeYAT0o2tu+of9zuukA8/vftD377j0dwx/RJnnVTFZedV4TDgmm+W8N8b8mhwF3CtkdlET1jQoXajYTsGyEbCQ9pBtEvL0sXC6fYDqTB8BqxptSMN0Ka8EyAJ6iDz/hmBbe+kZ7dPZeaBraA0KSqp8jU9Eydl1a2KGdvSpwJHJKmpMIUVJL5r9fdJeo5LmJZrGthIjIkwQJe6B6LQOf+SgkrFvyQjkAFBRyHAZ947ifNPD3DNt0pwmMTrz6/h7BNC9Hc00NZ3cp2UL/oCiPMXhBw8JfYFATgALJqXEx/9+29/ctWKeWFQjz668be7vc3PONiym0JwYP2v85COY4FbAZxQBkpU6b8pKzN5Iqa/I9FHNZlgljiGdj5JShKMgZuuraTx/UzDdVj3M7knWeudBqxtvtOA1sYvlQNxuKqhxnHKSgMJOONtDKCRKCEwlhsZmiJti40WIIdugtncRs38FnNp0cX2al/pDjzmONm0jxPD2ymokBCUg1EKyWislRNI+F6Ii06rIe9JCA6cu7oBHuQQyeODKFz0eTJ2y6fd7j86aLbgodbzAjgAVEUumLtg1tXLawiKuam/PvNV++lFp03h1vU5PPB4AXVhKIkCOGUMHgV8oufiWOBuBYS4FiQDylSaa8raZwAfvykBW5MltgBqbslM26YoDWkJ4JZ5KCmAJo+zgRpkXktREtkK7IllJ/Gb0tJh3LBeZj7fDvqY7yLt2fD2JUSLNfpzTZs69ZVl6jxXlDOpvWWUQMS8XH1JCgnOOcJI4rHfuvj++gLufTTCRaf2ivmDx/11W2nhNY36RIDnuZ43wP/xI1fgBz/6Ue2kOctuzVP6qcVdm7FgMcfWvSEKPlCvGSnQBWMMOaaGPvm6hMw4iAYDyb3MJdvCSYpmzPA4tS30iZKxtua2FZBTBB6Z+5mTJQXlZ2uuiQGO9di8ZoHelvFsrVshMQ1+BVphfReZ+lvmH9Gc2f46cXEEQSw/pr6k7YhauTDQ700dK63EcJ2TZIrTzRXZBUMlkHh0k4+f3duJDc94GBg8W3bOPubWbZvqtVevufL5wvP5AxwATlk5gEAMbC659H00PP9LsvZ9KiOTccQA6oExhgIDikzCZ1IPf0qPCTeOjt3QBki8ewOuGLDI6N5NVCUL2BaWGcl2Wcvd2pK3quSxPhvp5w+G96z8nWDa5s/aksLQkLTaYlONNNBNqVpmG/OFJGLenqqsIenH8RlmXrB+nGqVbL4PQdxlK/7xSQ0AoyLOWFQigZrATCRXymDOw+suOEu0dy1/34KBxZvHavuPBDSPDMBnzTse1cmNQb5t7de+d9uvCkv6+q+l2AEVhXRBmIM8I2hzJHJMwmMyLiy1AaACESqFUgJq3rmUuj2vff2WMwBLtngO1kmRBlw2IpkFLsncNllw+2Hqc1tdKg6xbLRn1BRjTGXKmtoOqLLEpoeK/ca0k2rlj1v+QvprkKQ5ferLKJCnPg9IFVHYRRLJvlB6PGM6xG+UFiogpGrzEQURLj07h0vXTf/J6y9c9bW7H97C161a9rxxCRwhgANAof147Ni9nZ+06q1b+3L9U7v2/2dbVwfH6LALnxGUHImCmwDcBFjiq640ecEqL4IL1VnVJNcLi6SSmQA74z9NfGxqkUFnCpJZ6kya8W1z0KaTA82gn2nJDBCzFjmmFSTzOpDizimrbp0cicoCXfBgfaa2prHF1tvEtIgkXb0V8K3XoJtiCqrGFQqi24cYkBuJwASpBBxGNfhVwTmPHOwbClBj/bjg/NdNXX7Rq7dOTe3g61YtOVKwPHIAB4BCvoTuzvHbgdf8Yfc8fKGre30XhgmKDArgjkTOlXC1BSfWQeMa1FwA4PryaRSU+AopW/7dg+LIoirADBbcfs1yEFsmVrVwRO0/1CLu03KlDLbFAFJXNOs1O1ccWg6EDrIYHp6cKAlqs/TG/nuH/G5ZDgXE4DaSpLHaXKj+OBGnEJzGxTCAAbiE62iAa3paazggrB9vu+LS0YWLzvrgXfdXbz/r5BKO5DqiAO/p6gYAbNo+cf3seZc4F1/U/bmhyvrecHIceQcoeArgngMd7k4sNxdAyCXCiMTP6R40iUPzbJbNqZEBMpoPcDZqmebhhneTFu9tLkSeSVVJrQx40pY1UUESC67uZC047O2NtY23UeBOURJbA8+k3h7k6yUHgCRf1vx91eeQItLj3yPOEPGkcogQXS3vUAhuLHgELzcb8xdfOLS854I/A2rXLxs8eH3lc1lHFOBmLR0sY9/I5Dfed+Uaum/vgc/++Cf39+ZdgaIP5H0C17GaIWlwR1zGVpqbgUUwvNLUBtomaGYL2ST/AU0bp4Cc4dRNuvcM/DsbMJrpu8y0WllsknmQsuBZC21RkazTGfdPaQKwTfSTuzKzP7PgTjnq2rwbX0NCUZSIUwQhQxBSXYieREgZBTyHggt1xfG8CH7byUO5jgs/JkL+Deb1Hh64nuU6rIqe57L+/vOfhTd3zSO+7w45UW1dWJvId5QoSnmCgk91mi2Bw5LkJegE/YgDkeZ1kaYutl5rLKlNE7LVMKlKF+v5VIcoalfl2OH+TEIUIcnzxKrgsSt7rAQsM9XBPKf+fva22SfI/ib7JLJ/Q+yHENN6mMS/mSL9+RR6H1jPJ5FeO/BFUp0I7Fk/JjUi2bcyfo+p54w4RSN0UA8c1BsO6gFFPaCoNRjqAUVDg15lLwqUO+eOljv7rwqrm76R7zz1hYLhCwdwAFj/oxvwugsvebS/u7izo41dwINJv9zmoVhgyPsOXEbAGIkdTinVzMNGBASRmqIVca2qSIuq6CNvg7klwGka0K0kRTNIKnVCxABOwB4DOpVJ2ArwSVkbJYcGeDa5K6ZA+sQxz1Nig5Q0gx/JyRqfdNDDwmzQA3FBByFpqTUe+BvvG4DYOT9xZqFJdDO9DSlCzlBvOKjWHVTqDLUGQ62hWotUagS1BkEQUgSBRHfvMVMdXXP/sNFg/zFnyVueLfl8VusFoSj26u2ggrK2G/s6aTQ9y//myNDuXKmo2vJOVRlqDQHOBcJIAohQqQuEHKiFKi841DwubloP6G5LBhWH9z2y3DrlQFobNXHw+LFxOkkTEGF/rn5AUl+u+Uum5bu0U2cKcgx/tbXqpqZAlvNpIyUbLU0FZuKXWtCVzJdMLH3S/kPtJwnJCBgTAJEII6WmTNcYJqYpgoiAc6DakKhUVSW96wJLFw/WHb/vnZEs3Twx0XheYfjDWS84wN/xtt/H97//Pc68uTeHHS6f20e+7cnNOSEJHtuSQxBRFPMOGAXyOYIdww0cqFBMhQQNqSvCkTTUdI11yTpiaIbRjNi3cJeyhIAFTr3JDM6n4Z9xRytzSw7zexifjSYPYy5NYDmDGedQb5wEbvT7LQ6udobJSSHx2SJn3CGtd1HS8csK2FjNU01g03MZXIdjusKwb8THZEXJwL5HEEUcW3bXUW8InHnKwnqhrefNxfY5tz69a4RfeunlLzT8Dt0X5UisSy+9DEVnnI8Hb7xlwWDHW7229uo9j49g884ALgN6ysDCuRznrK7iVccOo1KbggynEDUqaDQaaHCBqgDqmpMLaU05wLMQWMhBH7YO+rRwNFvKilmQE9J0FTCrpQXO0rD492XySOyeJ7ZkhyQIY83caBHIMXfIwXdcnD6RHuDLmIDjRPC8AIV8FW2FSZQKo+gs78OGZ4bwiw11bN9bx+hEAM4llgyEePXKUZxwQne11NH71jddfs4tm7ft5ZdeetmRBdkM6wW34Gad85rXY8MDX5Mnnjp005/+7SJn/0TxSzl3pFwuSczujTDYPwXPG8Ubzh3DhadKTNcYbr/Pw20PlDFZb0Pk5NAAVaVrGWA/K5CjtboSAztFYTJcN2OtU5yYpN+TfH5Gj0indMR/OxXoQVrzNrK3QGLNbTqTkheRdL2KU2Bt621p6DPun8xJHVtxbbkdJ0LOraMWBrjjAQ+33deOSlVgokIxOV3HgUkf83skPJdgVreLi9ctneib1fneOUtvvumfvkrwx+9664sFuxcP4ABw4qnvwLs++g387ql9N2w/0O3mnMY1NHyye8GsbaDeBP7hOwWMTy7Ap99eQX9XAxefPo6Bb0e45iaKBnfAqQduZ+PbB+0Ql1/bkUvdogmD6TdlgY4E8OlgD0k5aE3R0pn+hp0HggR/sVXXX3amGkubg9v7wub4NhcHVKpt008l8uD7kBiHk8NzIoAE+Nfbc/jUt+Yi57dhTpnj6neOYaQyir/7ThmP7/bR11PGvPkrR4Rb+PCGLe03lIsvLriBFxngAPBvV/8f/NvVwPTUxLcodZ39O9uv3vDYjt7v3V3A45t6cNICF4881YmVS0ax0I1wyZpJ3H53HRt3tQGujO1jqyjjQY5N680ysfUUz07xcqTAnJL34uY+ibph/8VsvktqZcP0+n8mwEUFIGnicNocOw7+6A8xOSgHvZLpPPJD8/G0Rp5kMKof4zCOrfuA235ZhsNKWNgFnHCMi+HROThp2Tjef8ko7t/SjzPXnTl07vlrPxoE4bdWdXW+EHA65HrRAW5Wqa2MicmJr3fPPYM8c7/87DM77+5d1DuJ/m4fhAL1hoNG6GBen0S5oC7OjBCdgSjTRjG+jNsX+8w6nJMgI620oieJREcytZ9WtLOVFbeWzJjs2HLr54RMSsdM4x5iJ0pleoPHzX1Sljpz/zCucmoXWPvWiojafQsJIZisEOw44MB3KAququLZPUSR80o481VFvP1Na4eKPWs+JsG/XiodHXADRxHgAFBuL2NsvPa1N1+8LlrUm7/20Ufu78w5E8j7ARwmkPM47nnExc6RHOA48KmET1tnIgIZ5cHm1jMsMsOtcRLVXZMwZIM204oNyHBx0mTps0taLMtUHNkj4KW1jU1FJEwH2WS7JLM2qe6Jy9RSvzZ98svMbZbGqReJTnhTzXki6iAIXczpDnD68gbufEggFAS1hsD4lECNz0ah77SxfMfJV0E632TOofsHvpDrqAIcADo78uBReP2561aPynB0UVs++Hxl5B63XKxholLHd35RxI6xdhRyDCUmkWNJoYRZ8SU9I5010YIWQJtJSclSFVjW21ZJaIv7ICaY0rq3rDR5dgaw5u9J3aOSpoGctF9LJ0zFNZgkafoz4++bwak0V5OULGgKimGa4ttpsBLVeg697SEuP2sa9z5ZxfBUAV05juUrXhX2dhY+0j+waisn+Tsc56jD6+gDHACY44o9u7bcvvbM13rTY09W+ez6dWjcRb58h0t/+OtetOdz6PAkfEfA1dYbUOH8SKiDwKgK89MMoONGk4dYaett3ps8Tl7PcO5W92mLpKxY+TFcWcYWXMnWJA6jxxXu+sSFoSmmn7d131ZPDMLt/x9sJcYgUVXsQQVCt33gXF1XKJFqqh5XbZTPP2kS77z4AG76+SJx+hmnymXLlvzRqScv+/dndu4JViw/Mvncz3e9JAAOAHPmLcb48ONBZ1fv9X7n/J8/ufW4N+wYn/7bvJhGf5nHgHGYmsIlBFAJgAanEFLC1b054twDkrHGQNqpk4grX+Lt4/dksgeR5JzQjNVOwv3ZTrPp39esb6efj0vqKImdS2luZfofMpQl/sw4yqnA3qTDa6tsl6zFFfXS+BJCdygTOseEoR64kJKAUQGHMTRCgamqj3KR4rWndEO6c/9q3sDim/pnzdr56G/3BmtWLz/acIrXSwbgANDRswIAaj/62Vc3XXhO+9UrH1jg9eSGPr7hiR1sejoAIRS+I1HwlcWaDCRGGxySULQ5yoqrPoYylRRk+LM5lgQtVASbiKZoScKvs9QkGQtI4pGDTepLRtmIm9HrEwww303TGXMZimfbwLLg0BPRpNUxVueEp/h2emUjrOrvJ1MfRJy7bfK2I+T8AIQIVBsOxqd8AEAhF8JzVXoslz4CtpL39HZ9eri+/+rTy7/hy49dc7Qh1LReUgA366Jz34kvf/1m/mfvv/wT23YPOzfdtv5PNvz61/72fROgUqKzjaGr7OKEFVXU+BB+8EA7hsfakXdUY0gzX9EkcdmrqXUCEvXC3MzEw1OJTAbc9jxNgjjBy6Y8AgrYSTs+NVpEWuhPuL4+KyiJgZ1VS0jGoqeCXnZjk/hzZXKFME0zjeynzyJKJBypWq8V8gFGpyr4wQM51CseOvI+ejoA14lAqEQoZmHpscc3Zg2e8w+e3/+JjQ/fguNPbj1p+GivlyTAAeDdb78cu4cm0enJj7/zjefRoXPmrbnh1pvpE79la9rcKWfBbIZ1JwFeLsCGJ6ax+0AJEkRP6VKTuhhNOG5qroy2jlSmsJAJ5FiN7C36kcpazPQbZJmsxfhzpQJ3LAdKQAipJyogdkoJQcvcbQLlfCbAtrl48juME2jepPyBpM+huaKZ2tfkVoXiHVX8Ct+LMDwt8O93dqMgili7QiDiQH9fZ7RpiN938kmXi955i+9rVN2PSzECQruPNlxmXC9ZgAPA3N52c/dj199wG5YuPKtt/tzKV6bH91xZcvdTQkLU6hScK8fTpQQeA3xdNWQOJtfDlLimB0ybZyEBlgoDAiCkpdVOFJSElqQbcFrNM633GcsLqJNMCoBziYgbgCvyq9JQNc2yVH5itHCRXHlinRxpTVxkrHmc6kqlniidOOciLkjQo7UlwIgA5wxSAswh8D2CxlSEWuChrXNAlLoHvnvmwsIfNIK9U7nCyUcbHoe1XtIAt9db3nQJtm/fPuW6ufePje7dMrL34ePn9tPf27d/Kwjthc8oCp5EwZco6KohQtTco3oo0QhVjrmEqgf0ELMAAJkADezgTqaAQFtuEoOZgLEE4IyliyeAxHpzroqnw0ggikQMfAVEdbIkS1lbIdRVw7bW0JaXxMA27Y4lpCWmK59VFfg6joBDhToBQoaGIKgHDJFQPksUqZ3heRw8chE1KhibrGD5guOwZEnHrae8evXGgYG5X6zV6lPLBo452nA47PWyATgADA4OAsBwfXrbXy6c//rBHL0Pkzz3e9TZBQ8BCg5Fe4GimKOqrz6U1eYVgbExglpIkHclfEcfeIuimGBO0kKZJHw6G9gxjiVJV/4wpugRM10DdGtnCSBgBCEn4FyiHgiEkUiUC01xnJSIL8F17x5hSvhm4OFCaP3csuKA+WwJxxHw3Ai+E8H3BOqBi/EpD5MVR4/oBhxHIuIUDoswVSHoaOvAWy5dg9lzTrn1Da9Z8cF9I1Pbe3qOfM3kC71eVgA3K1daACl3bgdOuooW89e/+23kA488smXdrm1PIUer6O5wISQQhgKuQ3Hs/AD5XZO4f7OPSj2HTt8MGzXpRwnQmOHUsTOJRDK0HVFbTYl5P/QwAKl8AP2YUhlLj7v2RRib5AAxfcGJ3lY9kaUXylInllumgJ1wbh77Ceoqoc4VpWe7TCDvRSjka2iENWzcnsPGTe3oKTN4rkQQAFxITBcECoVO0NIJWDBrwfrL2otfzLUd9+jQeH37q5YNPJtD9JJZL0uAAwAhAwCwRUq5ZdlibPSlmN191nFfPrBny+Lq+KNseHwaT23LobeLYekxDJecO40v3DqF7/z3bHiEIe/IhCIYekFUM/t00/tmYMMGt8W/DbjNP88V8FwB3xXoKAXw8w386Fc+RkYcdBZVOqnnSAiHwDXxKH1iCSEhiOLHqbxwJFFOAHrIaqJxUgJwSiAc9aUpgUp78EMU8xXc+ZDAdTe3Y+kcAWdQYKBfYNOeALWqi4vOOZkvOn7xFt+vvrut95y9J/ZiE5sx1fLlsV62ADdL54xsGh4Z3SS4eO347MJcSVd+96s33NXu58aLnhPA9yT62inKfhUiClCLCqq6W/NcRlVtqOOof4xZnBxGETEhn4xkSBN6wiwL7rsCOU+NWCzmA/R3VxBgAgeqXdg3UQYlHMWc1K0VEj2caIdTDTSTVt+/TGzSCvNLnowkIYSAMpU/IoTOo2ECrhPC9wJMNlzsGcthfo9AtRGhrVTEmy7urLT3XjhZr7MremcN7KaMbacvc2Cb9bIHuFk93V2QUmzv7e3euW9kfMXvnH/eaSWf/tvY8NNRiWzs4nJ3Wz0AZBShEYlYkzb0Qs1jpHCdxLGUGUTFCoVMFI5k9IgKkjiW9fZ9jkIuRDEfoFSswZ+qQ/IIU3WCqYZqEq8KCZLgVDxeReiIZsZPSEX/7eilAChXigolBCGj4EI5laoSJwSjAYoeUMwBnd19U6edeuzoyScudcpt4bu6+wbvl6x7QnIpXOdFKfR6UdYr55cAIISCECJkoza2fNHAnR3l9qXXXvfzRaeue+OnR8UZjw/Xlmw4eaVf72j3EHIBAgGHAi4DfJfC9yhyPkPOZ3AYjVWNJOdDxpZS/b00yJmemeMwAdcV8F2OnB8h7wfwvQAODUFEiEooMBkop7cRAWEkwbl2iIUKAikeLeOa05SKYyFdCCCMgFodqDWAeoOgERAEAUEYEkSRBMDhuB52js7B2WtWT//x21dufPc7//ent/zqe4vyhbalbn7+nWPj0ZhDyCsK3MAryILba46aoygAVGVjM8Dcz0s4n3/XZcvZrJ62626+21u6Y+vOM+oTe5lHA+R9gDGBnOegVGCgDKjXJSanBYQmu7HjBglmWXBmdGYNbsaUg+kwbcXdCL4XwvUaahZNGCEKOSqRi2JE4EWA7yjFROjgDRcSjkhOKEOLYhnSyJv6tlYFag0ORoHAI4gioVpVcw9geRQ7Bnmhu+/uJybmhKuPP/83V61mVz38xF5y/ps/K+cNDFaP9vF6IdcrEuD2Iv4SIKGv0b4D43/w4bf5nQcODH/m9jvu8vbs2sn7ekoney5ZxYMxtOcnUcyH2Pg0xUSFIu8zUErAhdT9WVRDd+koZSSx3unhV4xIOIzDdUMU83Vw1DE0KdHb0UCOVjHdaEebS1DkMm5TF0t+QiISABO6txdRwHYdpfyoxpcERAoU8gLVWg1bdobIexQLBjrR3deHvE9+7brVh0udc9mcxWcHxbbuPz+rtzHmevEhP3S64StgveIBnl39fR0AMAbgvQDwy1/+EgDWBUF4gUOmr2jLTS6bro3ghl88hU7fRYcrUA9CjI5H8D2GXM5Rkh70fCGmmokyZubT6PA3ARgVyHkhQKr4v3f6WP+Ii9+/pIo5c4dww88ZpsMSOnPqexkHU0oVEKJEgrOkG6zLgJwHuIyDkBDD4wRSupjTx3D8sioKPavgOR0YmF367aze8ncdx/0xINevWXPG0d7lR3X9jwN4dq1duxYA1lemx9YD5G6HBIu27Nwr9k/tFmtPGFywamXfRx/fvB079gH79u7F6NAE5nR78F0JWnDgORK+J+A6qnFoPVCj9PK+kvjyuQYefIriM9fPw9xOB4Pd4/jo/5rE9gPj+OUTeURChed9l8BzgIgL1AIg4srRdSiHQzlkDigXG+jpbkNH52xs2hGh0LYYXcXhq49fPLZtwcq1VGAuLeSdrQDu7O3pPNq79iWx/scD3Kyiqhu80zyeGB+G4/gd05N77psKBYRPw6XLlnyo6JHXdLcz+C6we/tvQDGJcpGjWIgQRRxbdzqoVCVcJkA6A0xMV/Cvd5QwPp3DKQspnt7Wi8EuibecO4pHtxRQaxRBIVHMOfDyeewZI5Ccw3EICCUod5Sxbu1qtBUZ+roClIrBXY1649oKj9zuWcsxf3DO+nr9svGB/pdflPHFWP8f4DOsckcPAIwDuA0ANjy1ExJ4quBgViFHBESEiZEtiBpV+D5BMS8gxVQ4uOj8TwaN6sXlYj1s752CIANo7+7G5RfksWIuRd8cBu5P4uzTRnHx5jYgaseCHolZPXm33NH+g2u//cAnu3KuSxkBdYBisYhlxx6HQt5DMR/SQjHcD2Db4LGLj/YuelmsV4aa/xJZDz7wAAjBrInxA+W8V5fH9FcgyDiuuaUbXb6LhX0Ux8ymmD+7ivbSOK69JQ/J2zDYKdHTVSAD82ZPSCn3rz7lheu2+j9t/T8PWOS5bhIvpQAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxODoyMTowOSswMDowMKbagK4AAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTg6MjE6MDkrMDA6MDDXhzgSAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 5710603
    {'hecke_orbit_code': 137472509329, 'n': 1, 'trace_an': 2}
  • id: 5710604
    {'hecke_orbit_code': 137472509329, 'n': 2, 'trace_an': 0}
  • id: 5710605
    {'hecke_orbit_code': 137472509329, 'n': 3, 'trace_an': 0}
  • id: 5710606
    {'hecke_orbit_code': 137472509329, 'n': 4, 'trace_an': -4}
  • id: 5710607
    {'hecke_orbit_code': 137472509329, 'n': 5, 'trace_an': 0}
  • id: 5710608
    {'hecke_orbit_code': 137472509329, 'n': 6, 'trace_an': -4}
  • id: 5710609
    {'hecke_orbit_code': 137472509329, 'n': 7, 'trace_an': 0}
  • id: 5710610
    {'hecke_orbit_code': 137472509329, 'n': 8, 'trace_an': 0}
  • id: 5710611
    {'hecke_orbit_code': 137472509329, 'n': 9, 'trace_an': -2}
  • id: 5710612
    {'hecke_orbit_code': 137472509329, 'n': 10, 'trace_an': 0}
  • id: 5710613
    {'hecke_orbit_code': 137472509329, 'n': 11, 'trace_an': -6}
  • id: 5710614
    {'hecke_orbit_code': 137472509329, 'n': 12, 'trace_an': 0}
  • id: 5710615
    {'hecke_orbit_code': 137472509329, 'n': 13, 'trace_an': 0}
  • id: 5710616
    {'hecke_orbit_code': 137472509329, 'n': 14, 'trace_an': 12}
  • id: 5710617
    {'hecke_orbit_code': 137472509329, 'n': 15, 'trace_an': 0}
  • id: 5710618
    {'hecke_orbit_code': 137472509329, 'n': 16, 'trace_an': -8}
  • id: 5710619
    {'hecke_orbit_code': 137472509329, 'n': 17, 'trace_an': 0}
  • id: 5710620
    {'hecke_orbit_code': 137472509329, 'n': 18, 'trace_an': 0}
  • id: 5710621
    {'hecke_orbit_code': 137472509329, 'n': 19, 'trace_an': 2}
  • id: 5710622
    {'hecke_orbit_code': 137472509329, 'n': 20, 'trace_an': 0}
  • id: 5710623
    {'hecke_orbit_code': 137472509329, 'n': 21, 'trace_an': 6}
  • id: 5710624
    {'hecke_orbit_code': 137472509329, 'n': 22, 'trace_an': 0}
  • id: 5710625
    {'hecke_orbit_code': 137472509329, 'n': 23, 'trace_an': 0}
  • id: 5710626
    {'hecke_orbit_code': 137472509329, 'n': 24, 'trace_an': 0}
  • id: 5710627
    {'hecke_orbit_code': 137472509329, 'n': 25, 'trace_an': 0}
  • id: 5710628
    {'hecke_orbit_code': 137472509329, 'n': 26, 'trace_an': 24}
  • id: 5710629
    {'hecke_orbit_code': 137472509329, 'n': 27, 'trace_an': 0}
  • id: 5710630
    {'hecke_orbit_code': 137472509329, 'n': 28, 'trace_an': 0}
  • id: 5710631
    {'hecke_orbit_code': 137472509329, 'n': 29, 'trace_an': 20}
  • id: 5710632
    {'hecke_orbit_code': 137472509329, 'n': 30, 'trace_an': 0}
  • id: 5710633
    {'hecke_orbit_code': 137472509329, 'n': 31, 'trace_an': 4}
  • id: 5710634
    {'hecke_orbit_code': 137472509329, 'n': 32, 'trace_an': 0}
  • id: 5710635
    {'hecke_orbit_code': 137472509329, 'n': 33, 'trace_an': 0}
  • id: 5710636
    {'hecke_orbit_code': 137472509329, 'n': 34, 'trace_an': 12}
  • id: 5710637
    {'hecke_orbit_code': 137472509329, 'n': 35, 'trace_an': 0}
  • id: 5710638
    {'hecke_orbit_code': 137472509329, 'n': 36, 'trace_an': 4}
  • id: 5710639
    {'hecke_orbit_code': 137472509329, 'n': 37, 'trace_an': 0}
  • id: 5710640
    {'hecke_orbit_code': 137472509329, 'n': 38, 'trace_an': 0}
  • id: 5710641
    {'hecke_orbit_code': 137472509329, 'n': 39, 'trace_an': 12}
  • id: 5710642
    {'hecke_orbit_code': 137472509329, 'n': 40, 'trace_an': 0}
  • id: 5710643
    {'hecke_orbit_code': 137472509329, 'n': 41, 'trace_an': -16}
  • id: 5710644
    {'hecke_orbit_code': 137472509329, 'n': 42, 'trace_an': 0}
  • id: 5710645
    {'hecke_orbit_code': 137472509329, 'n': 43, 'trace_an': 0}
  • id: 5710646
    {'hecke_orbit_code': 137472509329, 'n': 44, 'trace_an': 12}
  • id: 5710647
    {'hecke_orbit_code': 137472509329, 'n': 45, 'trace_an': 0}
  • id: 5710648
    {'hecke_orbit_code': 137472509329, 'n': 46, 'trace_an': -16}
  • id: 5710649
    {'hecke_orbit_code': 137472509329, 'n': 47, 'trace_an': 0}
  • id: 5710650
    {'hecke_orbit_code': 137472509329, 'n': 48, 'trace_an': 0}
  • id: 5710651
    {'hecke_orbit_code': 137472509329, 'n': 49, 'trace_an': -4}
  • id: 5710652
    {'hecke_orbit_code': 137472509329, 'n': 50, 'trace_an': 0}
  • id: 5710653
    {'hecke_orbit_code': 137472509329, 'n': 51, 'trace_an': 6}
  • id: 5710654
    {'hecke_orbit_code': 137472509329, 'n': 52, 'trace_an': 0}
  • id: 5710655
    {'hecke_orbit_code': 137472509329, 'n': 53, 'trace_an': 0}
  • id: 5710656
    {'hecke_orbit_code': 137472509329, 'n': 54, 'trace_an': 4}
  • id: 5710657
    {'hecke_orbit_code': 137472509329, 'n': 55, 'trace_an': 0}
  • id: 5710658
    {'hecke_orbit_code': 137472509329, 'n': 56, 'trace_an': 0}
  • id: 5710659
    {'hecke_orbit_code': 137472509329, 'n': 57, 'trace_an': 0}
  • id: 5710660
    {'hecke_orbit_code': 137472509329, 'n': 58, 'trace_an': 0}
  • id: 5710661
    {'hecke_orbit_code': 137472509329, 'n': 59, 'trace_an': 0}
  • id: 5710662
    {'hecke_orbit_code': 137472509329, 'n': 60, 'trace_an': 0}
  • id: 5710663
    {'hecke_orbit_code': 137472509329, 'n': 61, 'trace_an': 14}
  • id: 5710664
    {'hecke_orbit_code': 137472509329, 'n': 62, 'trace_an': 0}
  • id: 5710665
    {'hecke_orbit_code': 137472509329, 'n': 63, 'trace_an': 0}
  • id: 5710666
    {'hecke_orbit_code': 137472509329, 'n': 64, 'trace_an': 16}
  • id: 5710667
    {'hecke_orbit_code': 137472509329, 'n': 65, 'trace_an': 0}
  • id: 5710668
    {'hecke_orbit_code': 137472509329, 'n': 66, 'trace_an': 12}
  • id: 5710669
    {'hecke_orbit_code': 137472509329, 'n': 67, 'trace_an': 0}
  • id: 5710670
    {'hecke_orbit_code': 137472509329, 'n': 68, 'trace_an': 0}
  • id: 5710671
    {'hecke_orbit_code': 137472509329, 'n': 69, 'trace_an': -8}
  • id: 5710672
    {'hecke_orbit_code': 137472509329, 'n': 70, 'trace_an': 0}
  • id: 5710673
    {'hecke_orbit_code': 137472509329, 'n': 71, 'trace_an': 24}
  • id: 5710674
    {'hecke_orbit_code': 137472509329, 'n': 72, 'trace_an': 0}
  • id: 5710675
    {'hecke_orbit_code': 137472509329, 'n': 73, 'trace_an': 0}
  • id: 5710676
    {'hecke_orbit_code': 137472509329, 'n': 74, 'trace_an': 32}
  • id: 5710677
    {'hecke_orbit_code': 137472509329, 'n': 75, 'trace_an': 0}
  • id: 5710678
    {'hecke_orbit_code': 137472509329, 'n': 76, 'trace_an': -4}
  • id: 5710679
    {'hecke_orbit_code': 137472509329, 'n': 77, 'trace_an': 0}
  • id: 5710680
    {'hecke_orbit_code': 137472509329, 'n': 78, 'trace_an': 0}
  • id: 5710681
    {'hecke_orbit_code': 137472509329, 'n': 79, 'trace_an': 0}
  • id: 5710682
    {'hecke_orbit_code': 137472509329, 'n': 80, 'trace_an': 0}
  • id: 5710683
    {'hecke_orbit_code': 137472509329, 'n': 81, 'trace_an': 2}
  • id: 5710684
    {'hecke_orbit_code': 137472509329, 'n': 82, 'trace_an': 0}
  • id: 5710685
    {'hecke_orbit_code': 137472509329, 'n': 83, 'trace_an': 0}
  • id: 5710686
    {'hecke_orbit_code': 137472509329, 'n': 84, 'trace_an': -12}
  • id: 5710687
    {'hecke_orbit_code': 137472509329, 'n': 85, 'trace_an': 0}
  • id: 5710688
    {'hecke_orbit_code': 137472509329, 'n': 86, 'trace_an': 4}
  • id: 5710689
    {'hecke_orbit_code': 137472509329, 'n': 87, 'trace_an': 0}
  • id: 5710690
    {'hecke_orbit_code': 137472509329, 'n': 88, 'trace_an': 0}
  • id: 5710691
    {'hecke_orbit_code': 137472509329, 'n': 89, 'trace_an': -20}
  • id: 5710692
    {'hecke_orbit_code': 137472509329, 'n': 90, 'trace_an': 0}
  • id: 5710693
    {'hecke_orbit_code': 137472509329, 'n': 91, 'trace_an': -36}
  • id: 5710694
    {'hecke_orbit_code': 137472509329, 'n': 92, 'trace_an': 0}
  • id: 5710695
    {'hecke_orbit_code': 137472509329, 'n': 93, 'trace_an': 0}
  • id: 5710696
    {'hecke_orbit_code': 137472509329, 'n': 94, 'trace_an': 12}
  • id: 5710697
    {'hecke_orbit_code': 137472509329, 'n': 95, 'trace_an': 0}
  • id: 5710698
    {'hecke_orbit_code': 137472509329, 'n': 96, 'trace_an': 16}
  • id: 5710699
    {'hecke_orbit_code': 137472509329, 'n': 97, 'trace_an': 0}
  • id: 5710700
    {'hecke_orbit_code': 137472509329, 'n': 98, 'trace_an': 0}
  • id: 5710701
    {'hecke_orbit_code': 137472509329, 'n': 99, 'trace_an': 6}
  • id: 5710702
    {'hecke_orbit_code': 137472509329, 'n': 100, 'trace_an': 0}