Newform data - 9300.2.a.g

Formats: - HTML - YAML - JSON - 2026-03-15T04:44:27.800828

• 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': 37200, 'analytic_conductor': 74.26087387979075, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [5, -1], [31, 1]], 'atkin_lehner_string': '-+-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [9300, 1, [4651, 3101, 2977, 1801], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [-4, 1]], [11, [-3, 1]], [13, [2, 1]], [17, [3, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27021597797786708, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '9300.2.a.g', 'level': 9300, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 31], 'level_radical': 930, 'minimal_twist': '9300.2.a.g', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{3}+4q^{7}+q^{9}+3q^{11}-2q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/9300/g'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9300.2.a', 'trace_display': [0, -1, 0, 4], 'trace_hash': 317250126187105575, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.020', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.099', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.323', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, 'traces': [1, 0, -1, 0, 0, 0, 4, 0, 1, 0, 3, 0, -2, 0, 0, 0, -3, 0, -3, 0, -4, 0, 3, 0, 0, 0, -1, 0, -7, 0, -1, 0, -3, 0, 0, 0, 10, 0, 2, 0, -2, 0, -10, 0, 0, 0, -10, 0, 9, 0, 3, 0, 1, 0, 0, 0, 3, 0, -10, 0, 6, 0, 4, 0, 0, 0, 5, 0, -3, 0, -6, 0, -14, 0, 0, 0, 12, 0, -16, 0, 1, 0, -9, 0, 0, 0, 7, 0, -17, 0, -8, 0, 1, 0, 0, 0, -13, 0, 3, 0, -6, 0, 3, 0, 0, 0, -4, 0, -18, 0, -10, 0, 14, 0, 0, 0, -2, 0, -12, 0, -2, 0, 2, 0, 0, 0, 0, 0, 10, 0, 12, 0, -12, 0, 0, 0, 21, 0, 22, 0, 10, 0, -6, 0, 0, 0, -9, 0, 18, 0, 4, 0, -3, 0, 0, 0, 15, 0, -1, 0, 12, 0, -3, 0, 0, 0, -8, 0, -9, 0, -3, 0, -2, 0, 0, 0, 10, 0, -12, 0, 6, 0, -6, 0, 0, 0, -9, 0, -4, 0, -20, 0, 13, 0, 0, 0, 22, 0, 18, 0, -5, 0, -28, 0, 0, 0, 3, 0, -9, 0, -11, 0, 6, 0, 0, 0, -4, 0, 14, 0, 6, 0, 10, 0, 0, 0, -12, 0, 2, 0, -12, 0, 4, 0, 0, 0, 16, 0, 27, 0, -8, 0, -1, 0, 0, 0, 6, 0, 9, 0, -15, 0, 9, 0, 0, 0, -28, 0, 40, 0, -7, 0, 28, 0, 0, 0, 17, 0, -18, 0, -16, 0, 8, 0, 0, 0, 28, 0, -1, 0, -30, 0, 5, 0, 0, 0, -8, 0, -8, 0, 13, 0, 6, 0, 0, 0, -3, 0, -6, 0, -40, 0, 6, 0, 0, 0, 28, 0, -3, 0, -6, 0, -4, 0, 0, 0, 2, 0, -21, 0, 4, 0, 9, 0, 0, 0, 18, 0, -40, 0, 30, 0, 10, 0, 0, 0, 10, 0, -14, 0, -3, 0, 8, 0, 0, 0, -4, 0, -7, 0, 2, 0, -31, 0, 0, 0, 12, 0, -6, 0, -10, 0, 2, 0, 0, 0, 12, 0, -2, 0, 4, 0, -21, 0, 0, 0, 14, 0, -4, 0, 0, 0, -15, 0, 0, 0, -10, 0, 10, 0, -9, 0, -12, 0, 0, 0, -3, 0, 12, 0, -5, 0, 2, 0, 0, 0, 30, 0, 0, 0, -21, 0, -40, 0, 0, 0, -22, 0, 12, 0, -6, 0, -10, 0, 0, 0, 24, 0, 6, 0, -12, 0, 26, 0, 0, 0, -9, 0, 0, 0, 9, 0, 0, 0, 0, 0, -18, 0, -41, 0, -6, 0, -4, 0, 0, 0, -10, 0, 3, 0, -27, 0, -18, 0, 0, 0, 22, 0, 20, 0, -15, 0, -30, 0, 0, 0, 1, 0, 6, 0, -20, 0, -12, 0, 0, 0, -2, 0, 3, 0, -15, 0, 21, 0, 0, 0, -24, 0, -28, 0, 8, 0, -32, 0, 0, 0, 9, 0, -29, 0, -56, 0, 3, 0, 0, 0, -30, 0, 2, 0, 30, 0, 24, 0, 0, 0, 3, 0, -14, 0, -10, 0, 4, 0, 0, 0, 12, 0, 27, 0, -3, 0, -6, 0, 0, 0, 33, 0, 6, 0, 21, 0, -64, 0, 0, 0, 3, 0, 20, 0, 9, 0, 4, 0, 0, 0, 4, 0, -17, 0, -16, 0, 20, 0, 0, 0, -42, 0, -13, 0, -36, 0, 3, 0, 0, 0, 15, 0, 3, 0, -22, 0, -30, 0, 0, 0, -18, 0, 30, 0, 44, 0, 5, 0, 0, 0, -1, 0, 28, 0, 20, 0, 34, 0, 0, 0, 2, 0, -8, 0, -3, 0, -68, 0, 0, 0, 9, 0, -30, 0, -14, 0, 11, 0, 0, 0, -18, 0, -6, 0, 37, 0, 44, 0, 0, 0, -31, 0, -30, 0, 4, 0, 8, 0, 0, 0, -14, 0, 6, 0, -45, 0, -6, 0, 0, 0, -21, 0, -10, 0, 18, 0, 16, 0, 0, 0, -22, 0, -52, 0, 12, 0, -30, 0, 0, 0, -2, 0, -2, 0, 5, 0, 12, 0, 0, 0, 6, 0, -4, 0, 6, 0, -30, 0, 0, 0, -24, 0, 22, 0, -16, 0, -3, 0, 0, 0, -27, 0, 8, 0, 12, 0, 8, 0, 0, 0, 44, 0, 1, 0, 30, 0, 11, 0, 0, 0, 15, 0, 44, 0, -6, 0, -33, 0, 0, 0, -9, 0, -16, 0, 7, 0, 15, 0, 0, 0, -36, 0, -9, 0, -50, 0, -72, 0, 0, 0, 20, 0, -3, 0, 28, 0, -49, 0, 0, 0, -40, 0, 6, 0, -18, 0, 7, 0, 0, 0, 8, 0, -28, 0, 56, 0, -12, 0, 0, 0, 34, 0, 30, 0, -17, 0, -42, 0, 0, 0, 18, 0, 49, 0, -4, 0, 16, 0, 0, 0, 30, 0, -8, 0, 9, 0, 24, 0, 0, 0, -51, 0, 44, 0, -28, 0, -27, 0, 0, 0, 1, 0, 0, 0, 20, 0, 30, 0, 0, 0, -8, 0, -5, 0, 30, 0, 6, 0, 0, 0, -40, 0, 4, 0, 8, 0, 0, 0, 0, 0, 8, 0, -48, 0, -10, 0, -13, 0, 0, 0, 30, 0, -6, 0, 18, 0, -24, 0, 0, 0, 22, 0, 0, 0, 3, 0, 30, 0, 0, 0, 6, 0, 7, 0, -3, 0, 40, 0, 0, 0, -7, 0, -6, 0, -9, 0, -27, 0, 0, 0, 48, 0, 15, 0, -28, 0, 12, 0, 0, 0, 3, 0, -15, 0, -27, 0, 6, 0, 0, 0, -39, 0, 4, 0, -29, 0, -6, 0, 0, 0, 29, 0, 28, 0, -2, 0, 38, 0, 0, 0, 21, 0, 84, 0, 1, 0, -4, 0, 0, 0, -32, 0, -9, 0, 18, 0, 88, 0, 0, 0, 24, 0, -51, 0, -18, 0, 23, 0, 0, 0, 40, 0, -30, 0, 32, 0, -30, 0, 0, 0, -21, 0, -10, 0, -24, 0, 30, 0, 0, 0, -3, 0, -42, 0, -10, 0, -18, 0, 0, 0, 14, 0, -20, 0, -16, 0, 3, 0, 0, 0, 32, 0, -8, 0, 12, 0, 47, 0, 0, 0, -18, 0, 0, 0, 4, 0, 72, 0, 0, 0, 7, 0, 26, 0, -4, 0, -2, 0, 0, 0, 16, 0, 31, 0, 56, 0, 19, 0, 0, 0, -39, 0, 22, 0, -12, 0, -70, 0, 0, 0, 6, 0, 18, 0, -30, 0, 10, 0, 0, 0, 31, 0, -2, 0, -19, 0, -7, 0, 0, 0, -53, 0, 60, 0, -12, 0, -54, 0, 0, 0, 2, 0, 17, 0, -18, 0, -4, 0, 0, 0, 3, 0, 21, 0, 30, 0, -48, 0, 0, 0, 27, 0, -24, 0, -14, 0, 9, 0, 0, 0, 4, 0, -15, 0, -12, 0, 0, 0, 0, 0, -10, 0, 15, 0, 42, 0, 26, 0, 0, 0, 34, 0, -18, 0, 10, 0, 20, 0, 0, 0, -10, 0, -32, 0, 34, 0, 9, 0, 0, 0, -12, 0, 12, 0, 10, 0, -36, 0, 0, 0, -38, 0, 14, 0, 3, 0, -3, 0, 0, 0, -12, 0, -54, 0, -40, 0, 5, 0, 0, 0, 18, 0, -2, 0, -8, 0, -46, 0, 0, 0, -12, 0, 3, 0, -30, 0, 32, 0, 0, 0, 0, 0, -4, 0, 16, 0, 21, 0, 0, 0, -26, 0, 40, 0, 42, 0, 42, 0, 0, 0, 70, 0, -1, 0, 22, 0, -48, 0, 0, 0, -12, 0, -30, 0, 26, 0, 6, 0, 0, 0, 24, 0, 10, 0, 2, 0, -15, 0, 0, 0, 34, 0, 1, 0, -24, 0, -9, 0, 0, 0, -6, 0, -64, 0, -7, 0, 12, 0, 0, 0, -32, 0, -26, 0, 22, 0, 3, 0, 0, 0, -54, 0, -36, 0, 9, 0, 12, 0, 0, 0, 0, 0, -15, 0, -13, 0, -9, 0, 0, 0, -29, 0, 0, 0, -39, 0, 10, 0, 0, 0, -80, 0, -6, 0, 18, 0, 48, 0, 0, 0, 41, 0, 18, 0, 52, 0, 6, 0, 0, 0, -30, 0, 4, 0, 4, 0, 70, 0, 0, 0, 21, 0, 63, 0, 10, 0, 30, 0, 0, 0, -3, 0, 88, 0, -48, 0, 27, 0, 0, 0, 42, 0, 18, 0, 8, 0, 72, 0, 0, 0, 0, 0, -59, 0, -22, 0, 18, 0, 0, 0, -20, 0, 52, 0, 27, 0, 15, 0, 0, 0, 36, 0, 30, 0, -63, 0, -3, 0, 0, 0, -42, 0, -20, 0, -1, 0, -48, 0, 0, 0, -6, 0, 7, 0, 36, 0, 20, 0, 0, 0, 56, 0, 12, 0, -66, 0, 48, 0, 0, 0, 10, 0, 20, 0, 2, 0, -36, 0, 0, 0, -3, 0, -28, 0, 65, 0, 15, 0, 0, 0, -44, 0, -21, 0, -10, 0, 66, 0, 0, 0, 3, 0, -9, 0, 24, 0, -76, 0, 0, 0, 28, 0, -1, 0, 48, 0, -8, 0, 0, 0, 63, 0, 32, 0, 19, 0, 51, 0, 0, 0, -20, 0, -9, 0, -9, 0, -66, 0, 0, 0, 29, 0, 66, 0, 28, 0, 56, 0, 0, 0, -7, 0, -3, 0, 15, 0, -40, 0, 0, 0, 24, 0, 8, 0, 30, 0, 43, 0, 0, 0, -2, 0, 72, 0, 40, 0, -30, 0, 0, 0, -46, 0, -24, 0, 63, 0, 4, 0, 0, 0, 27, 0, -36, 0, -3, 0, -26, 0, 0, 0, 14, 0, -48, 0, -100, 0, 10, 0, 0, 0, 41, 0, -4, 0, -20, 0, 8, 0, 0, 0, -51, 0, -10, 0, -12, 0, 54, 0, 0, 0, -27, 0, 36, 0, 25, 0, 3, 0, 0, 0, 72, 0, 6, 0, 16, 0, -18, 0, 0, 0, 12, 0, 54, 0, -33, 0, -1, 0, 0, 0, -6, 0, 39, 0, 0, 0, -21, 0, 0, 0, -14, 0, 64, 0, 12, 0, 28, 0, 0, 0, -7, 0, -68, 0, -3, 0, 108, 0, 0, 0, -20, 0, -42, 0, -37, 0, -9, 0, 0, 0, -32, 0, -4, 0, 51, 0, -43, 0, 0, 0, 27, 0, 28, 0, -4, 0, -24, 0, 0, 0, 17, 0, 8, 0, 70, 0, 16, 0, 0, 0, 18, 0, -20, 0, 80, 0, -53, 0, 0, 0, 45, 0, 24, 0, 42, 0, 2, 0, 0, 0, 13, 0, -100, 0, 81, 0, 36, 0, 0, 0, -6, 0, -3, 0, -9, 0, -46, 0, 0, 0, -60, 0, 62, 0, -15, 0, 20, 0, 0, 0, -3, 0, -42, 0, 36, 0, 22, 0, 0, 0, -26, 0, 30, 0, -42, 0, -49, 0, 0, 0, -38, 0, -12, 0, 18, 0, -9, 0, 0, 0, -30, 0, -112, 0, 32, 0, -44, 0, 0, 0, -44, 0, -5, 0, 75, 0, 90, 0, 0, 0, -48, 0, 12, 0, 1, 0, -12, 0, 0, 0, -28, 0, 10, 0, -65, 0, -20, 0, 0, 0, -24, 0, -34, 0, 112, 0, 39, 0, 0, 0, -58, 0, 57, 0, -2, 0, 54, 0, 0, 0, 8, 0, -27, 0, -30, 0, 3, 0, 0, 0, -53, 0, 68, 0, -12, 0, -82, 0, 0, 0, -15, 0, -65, 0, -9, 0, -72, 0, 0, 0, 30, 0, -51, 0, -6, 0, 14, 0, 0, 0, -64, 0, -11, 0, 86, 0, -6, 0, 0, 0, 26, 0, -27, 0, 18, 0, 37, 0, 0, 0, 6, 0, 18, 0, -42, 0, -37, 0, 0, 0, 20, 0, -44, 0, -48, 0, 56, 0, 0, 0, -36, 0, 112, 0, 31, 0, -35, 0, 0, 0, 30, 0, -69, 0, -42, 0, -4, 0, 0, 0, -9, 0, -8, 0, 10, 0, -8, 0, 0, 0, -120, 0, -36, 0, 14, 0, 12, 0, 0, 0, -6, 0, -33, 0, 20, 0, 45, 0, 0, 0, 72, 0, 6, 0, 18, 0, 11, 0, 0, 0, -3, 0, 38, 0, 21, 0, -20, 0, 0, 0, 10, 0, -18, 0, -2, 0, -18, 0, 0, 0, -58, 0, -16, 0, 100, 0, -32, 0, 0, 0, -29, 0, -35, 0, 22, 0, 12, 0, 0, 0, 52, 0, 17, 0, -30, 0, -12, 0, 0, 0, -51, 0, 30, 0, 24, 0, 21, 0, 0, 0, 6, 0, 42, 0, 2, 0, 53, 0, 0, 0, 2, 0, -70, 0, 54, 0, -5, 0, 0, 0, -5, 0, -12, 0, -66, 0, 14, 0, 0, 0, 20, 0, -14, 0, -6, 0, -24, 0, 0, 0, 4, 0, -17, 0, -60, 0, -6, 0, 0, 0, -90, 0, 30, 0, 20, 0, 19, 0, 0, 0, 98, 0, 6, 0, 24, 0, 39, 0, 0, 0, -22, 0, -30, 0, 42, 0, 16, 0, 0, 0, 48, 0, 3, 0, 6, 0, 71, 0, 0, 0, -42, 0, 112, 0, 27, 0, 16, 0, 0, 0, -8, 0, 0, 0, 48, 0, -12, 0, 0, 0, 66, 0, -8, 0, 16, 0, -2, 0, 0, 0, -24, 0, 16, 0, -44, 0, -100, 0, 0, 0, -1, 0, 54, 0, -16, 0, -30, 0, 0, 0, 44, 0, -11, 0, 6, 0, 31, 0, 0, 0, 64, 0, 53, 0, -15, 0, -3, 0, 0, 0, -44, 0, 8, 0, 37, 0, 6, 0, 0, 0, -36, 0, 33, 0, -39, 0, -84, 0, 0, 0, -82, 0, 17, 0, 9, 0, 59, 0, 0, 0, 16, 0, 4, 0, 83, 0, -7, 0, 0, 0, 60, 0, -15, 0, 36, 0, 14, 0, 0, 0, -36, 0, -42, 0, 36, 0, 18, 0, 0, 0, 9, 0, -10, 0, 75, 0, 50, 0, 0, 0, 4, 0, 72, 0, 112, 0, -14, 0, 0, 0, 42, 0, 6, 0, -20, 0, -90, 0, 0, 0, 3, 0, -94, 0, 80, 0, -28, 0, 0, 0, 120, 0, 49, 0, -33, 0, -18, 0, 0, 0, 24, 0, -63, 0, 40, 0, 38, 0, 0, 0, -6, 0, 40, 0, 57, 0, 18, 0, 0, 0, 6, 0, -7, 0, -25, 0, -12, 0, 0, 0, -76, 0, 40, 0, -8, 0, -66, 0, 0, 0, 28, 0, 9, 0, 20, 0, -56, 0, 0, 0, -46, 0, 12, 0, -14, 0, 2, 0, 0, 0, -12, 0, 35, 0, -34, 0, -18, 0, 0, 0, -30, 0, 15, 0, -31, 0, 17, 0, 0, 0, 63, 0, 42, 0, 40, 0, 0, 0, 0, 0, 27, 0, 20, 0, -18, 0, 84, 0, 0, 0, -49, 0, -16, 0, 18, 0, 4, 0, 0, 0, 13, 0, -16, 0, -63, 0, -28, 0, 0, 0, 48, 0, 16, 0, -30, 0, 30, 0, 0, 0, 8, 0, -24, 0, -12, 0, -9, 0, 0, 0, -60, 0, -24, 0, -124, 0, 86, 0, 0, 0, -12, 0, 50, 0, 51, 0, 40, 0, 0, 0, -44, 0, -36, 0, -10, 0, 28, 0, 0, 0, -36, 0, 27, 0, -12, 0, 44, 0, 0, 0, -54, 0, -26, 0, -1, 0, -24, 0, 0, 0, 0, 0, 6, 0, -58, 0, -20, 0, 0, 0, -40, 0, -30, 0, -8, 0, -54, 0, 0, 0, 100, 0, -4, 0, 8, 0, -4, 0, 0, 0, 5, 0, 0, 0, -84, 0, -30, 0, 0, 0, -40, 0, -6, 0, -44, 0, 12, 0, 0, 0, -12, 0, 48, 0, 40, 0, 9, 0, 0, 0, -4, 0, -33, 0, 119, 0, -8, 0, 0, 0, -36, 0, 0, 0, -44, 0, 82, 0, 0, 0, 9, 0, 42, 0, -8, 0, -63, 0, 0, 0, 48, 0, -10, 0, -84, 0, 10, 0, 0, 0, -32, 0, 13, 0, 33, 0, -60, 0, 0, 0, -60, 0, 81, 0, -30, 0, -6, 0, 0, 0, 6, 0, 56, 0, -66, 0, -18, 0, 0, 0, -4, 0, 24, 0, -24, 0, -16, 0, 0, 0, -47, 0, -32, 0, -22, 0, -60, 0, 0, 0, 0, 0, -45, 0, 1, 0, -3, 0, 0, 0, -44, 0, -30, 0, -60, 0, 34, 0, 0, 0, 72, 0, -10, 0, -6, 0, 34, 0, 0, 0, -7, 0, 50, 0, -140, 0, 3, 0, 0, 0, 23, 0, -40, 0, 54, 0, 2, 0, 0, 0, 18, 0, -8, 0, 7, 0, 40, 0, 0, 0, 6, 0, -50, 0, -24, 0, 9, 0, 0, 0, -36, 0, 27, 0, 17, 0, 22, 0, 0, 0, -10, 0, 12, 0, -48, 0, -82, 0, 0, 0, -15, 0, 17, 0, -45, 0, 28, 0, 0, 0, 43, 0, -12, 0, 9, 0, 100, 0, 0, 0, 64, 0, -12, 0, -3, 0, -6, 0, 0, 0, 15, 0, 69, 0, 0, 0, 27, 0, 0, 0, 98, 0, -6, 0, 74, 0, 52, 0, 0, 0, -20, 0, -52, 0, 39, 0, 91, 0, 0, 0, -4, 0, 81, 0, 8, 0, 29, 0, 0, 0, -84, 0, 6, 0, -54, 0, -26, 0, 0, 0, -72, 0, 24, 0, -29, 0, 12, 0, 0, 0, -28, 0, 120, 0, 44, 0, 2, 0, 0, 0, 86, 0, -38, 0, 60, 0, 0, 0, 0, 0, -60, 0, -12, 0, -21, 0, 27, 0, 0, 0, -84, 0, 99, 0, -50, 0, -1, 0, 0, 0, 23, 0, 4, 0, -90, 0, 84, 0, 0, 0, 36, 0, -20, 0, 32, 0, 24, 0, 0, 0, 9, 0, -101, 0, 12, 0, -18, 0, 0, 0, 52, 0, -88, 0, 0, 0, -160, 0, 0, 0, -72, 0, 42, 0, -24, 0, 48, 0, 0, 0, 51, 0, 64, 0, 6, 0, 18, 0, 0, 0, -24, 0, -23, 0, 24, 0, 54, 0, 0, 0, -18, 0, -54, 0, -40, 0, 52, 0, 0, 0, 30, 0, 50, 0, 52, 0, -32, 0, 0, 0, -4, 0, 30, 0, -48, 0, -45, 0, 0, 0, -21, 0, 54, 0, 21, 0, 28, 0, 0, 0, 10, 0, 36, 0, 81, 0, 24, 0, 0, 0, 13, 0, -30, 0, -2, 0, 36, 0, 0, 0, -48, 0, 6, 0, 3, 0, 48, 0, 0, 0, 42, 0, -8, 0, 104, 0, 10, 0, 0, 0, 26, 0, 18, 0, 45, 0, 36, 0, 0, 0, 84, 0, -82, 0, -14, 0, 60, 0, 0, 0, 20, 0, -36, 0, -100, 0, 16, 0, 0, 0, -104, 0, -3, 0, -90, 0, 0, 0, 0, 0, -18, 0, -79, 0, -32, 0, -24, 0, 0, 0, 8, 0, 92, 0, -90, 0, -12, 0, 0, 0, 9, 0, -47, 0, 0, 0, 28, 0, 0, 0, -54, 0, -23, 0, 18, 0, 15, 0, 0, 0, 0, 0, 68, 0, -22, 0, -4, 0, 0, 0, -10, 0, -72, 0, 6, 0, 16, 0, 0, 0, 43, 0, 140, 0, -7, 0, -164, 0, 0, 0, -26, 0, -50, 0, 63, 0, 4, 0, 0, 0, -24, 0, 2, 0, 126, 0, 7, 0, 0, 0, -96, 0, -59, 0, -16, 0, 24, 0, 0, 0, -31, 0, -24, 0, 39, 0, -56, 0, 0, 0, 15, 0, -19, 0, -33, 0, -3, 0, 0, 0, 66, 0, -40, 0, 39, 0, -12, 0, 0, 0, -22, 0, -22, 0, 27, 0, 12, 0, 0, 0, -66, 0, 70, 0, 40, 0, 18, 0, 0, 0, -108, 0, -53, 0, -6, 0, 6, 0, 0, 0, -18, 0, 32, 0, -72, 0, 30, 0, 0, 0, 60, 0, -10, 0, -1, 0, -64, 0, 0, 0, -28, 0, 111, 0, -31, 0, 30, 0, 0, 0, 2, 0, 88, 0, 33, 0, 19, 0, 0, 0, -98, 0, 7, 0, -39, 0, 45, 0, 0, 0, 6, 0, -18, 0, 53, 0, -170, 0, 0, 0, -60, 0, 63, 0, 26, 0, 12, 0, 0, 0, 52, 0, 54, 0, -120, 0, -18, 0, 0, 0, 4, 0, 13, 0, -2, 0, 108, 0, 0, 0, -17, 0, -29, 0, -43, 0, 18, 0, 0, 0, 60, 0, 4, 0, 56, 0, -84, 0, 0, 0, 39, 0, -66, 0, -3, 0, 24, 0, 0, 0, -21, 0, 45, 0, -100, 0, -30, 0, 0, 0, -80, 0, 48, 0, -12, 0, -19, 0, 0, 0, 84, 0, 18, 0, -27, 0, -54, 0, 0, 0, 24, 0, 16, 0, 14, 0, 14, 0, 0, 0, 160, 0, -9, 0, 36, 0, 18, 0, 0, 0, 0, 0, -8, 0, -4, 0, 69, 0, 0, 0, 15, 0, -56, 0, -18, 0, 12, 0, 0, 0, 54, 0, 0, 0, 140, 0, 14, 0, 0, 0, -60, 0, -18, 0, 10, 0, -12, 0, 0, 0, -15, 0, -16, 0, 84, 0, -42, 0, 0, 0, -97, 0, -26, 0, 52, 0, -62, 0, 0, 0, -36, 0, -82, 0, -34, 0, 12, 0, 0, 0, 18, 0, -54, 0, 41, 0, -10, 0, 0, 0, 6, 0, -20, 0, 78, 0, -112, 0, 0, 0, 36, 0, 60, 0, 10, 0, -14, 0, 0, 0, 32, 0, 14, 0, 15, 0, -34, 0, 0, 0, -91, 0, -9, 0, -128, 0, 32, 0, 0, 0, 112, 0, 26, 0, 12, 0, -81, 0, 0, 0, -12, 0, -30, 0, 23, 0, -10, 0, 0, 0, 20, 0, 36, 0, 5, 0, 27, 0, 0, 0, 38, 0, -115, 0, 38, 0, -116, 0, 0, 0, -14, 0, 90, 0, 44, 0, -3, 0, 0, 0, -126, 0, 3, 0, -88, 0, -51, 0, 0, 0, 33, 0, -130, 0, 12, 0, 16, 0, 0, 0, 54, 0, -60, 0, -56, 0, 40, 0, 0, 0, 34, 0, -5, 0, 45, 0, -70, 0, 0, 0, 66, 0, -120, 0, -18, 0, -5, 0, 0, 0, 2, 0, 60, 0, -113, 0, 8, 0, 0, 0, -41, 0, 46, 0, 90, 0, 99, 0, 0, 0, 120, 0, 34, 0, 12, 0, 60, 0, 0, 0, -3, 0, 0, 0, 96, 0, 30, 0, 0, 0, -39, 0, -32, 0, -39, 0, -82, 0, 0, 0, 80, 0, -10, 0, 0, 0, 0, 0, 0, 0, 4, 0, 12, 0, -36, 0, -16, 0, 0, 0, -11, 0, -21, 0, 38, 0, -56, 0, 0, 0, 30, 0, 27, 0, 26, 0, 160, 0, 0, 0, -40, 0, 39, 0, -25, 0, -42, 0, 0, 0, 27, 0, -42, 0, 16, 0, 78, 0, 0, 0, -60, 0, -7, 0, -70, 0, -66, 0, 0, 0, 1, 0, -9, 0, 2, 0, -22, 0, 0, 0, 16, 0, 48, 0, -100, 0, -6, 0, 0, 0, -58, 0, -37, 0, 12, 0, 24, 0, 0, 0, 30, 0, 36, 0, -54, 0, -26, 0, 0, 0, -12, 0, -6, 0, -30, 0, 64, 0, 0, 0, 18, 0, -84, 0, -24, 0, -61, 0, 0, 0, -10, 0, -12, 0, 30, 0, -2, 0, 0, 0, -12, 0, 15, 0, 6, 0, 20, 0, 0, 0, 170, 0, 132, 0, -34, 0, 42, 0, 0, 0, -1, 0, -21, 0, -24], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1], [0], [-1], [0], [0], [0], [4], [0], [1], [0], [3], [0], [-2], [0], [0], [0], [-3], [0], [-3], [0], [-4], [0], [3], [0], [0], [0], [-1], [0], [-7], [0], [-1], [0], [-3], [0], [0], [0], [10], [0], [2], [0], [-2], [0], [-10], [0], [0], [0], [-10], [0], [9], [0], [3], [0], [1], [0], [0], [0], [3], [0], [-10], [0], [6], [0], [4], [0], [0], [0], [5], [0], [-3], [0], [-6], [0], [-14], [0], [0], [0], [12], [0], [-16], [0], [1], [0], [-9], [0], [0], [0], [7], [0], [-17], [0], [-8], [0], [1], [0], [0], [0], [-13], [0], [3], [0]], 'ap': [[0], [-1], [0], [4], [3], [-2], [-3], [-3], [3], [-7], [-1], [10], [-2], [-10], [-10], [1], [-10], [6], [5], [-6], [-14], [-16], [-9], [-17], [-13], [-6], [3], [-4], [-18], [14], [0], [12], [21], [22], [18], [4], [15], [-3], [-8], [-2], [-12], [6], [-20], [13], [22], [18], [-11], [10], [-12], [2], [4], [27], [-8], [-15], [-28], [28], [-18], [-16], [28], [-30], [5], [6], [28], [-6], [-4], [2], [30], [10], [-4], [-7], [-31], [-6], [12], [-21], [-4], [-15], [10], [-3], [-5], [0], [12], [-6], [-12], [26], [0], [0], [-41], [-10], [-27], [-18], [22], [6], [-2], [-15], [-28], [-32], [-29], [30], [24], [-3], [33], [3], [4], [-17], [-16], [-42], [15], [-30], [30], [44], [-1], [34], [2], [-8], [-14], [37], [44], [-31], [8], [6], [-45], [16], [-22], [-30], [5], [6], [22], [8], [44], [11], [44], [-33], [7], [-36], [-50], [-3], [-49], [8], [34], [49], [-4], [9], [24], [-51], [44], [0], [6], [-40], [4], [0], [30], [18], [-24], [22], [-7], [-9], [15], [-15], [-39], [-29], [29], [38], [-32], [18], [24], [23], [32], [-21], [-42], [-18], [-20], [-16], [12], [47], [0], [26], [-4], [56], [19], [22], [31], [-19], [-7], [-53], [-54], [17], [3], [-48], [-24], [42], [26], [20], [34], [10], [-38], [-3], [-40], [-46], [-12], [32], [-4], [16], [-26], [-1], [-30], [34], [1], [-9], [-64], [-7], [-32], [22], [3], [-54], [-15], [-13], [-29], [4], [21], [30], [-48], [-59], [52], [-3], [-42], [-20], [-48], [7], [56], [-66], [48], [20], [65], [-10], [66], [3], [-9], [-76], [-1], [19], [-66], [28], [-40], [8], [43], [72], [-46], [63], [-36], [-26], [41], [-20], [-51], [-10], [54], [36], [25], [72], [12], [-14], [28], [-7], [-68], [-43], [27], [28], [8], [80], [-53], [2], [81], [-6], [-46], [62], [-26], [-49], [-38], [-12], [32], [75], [-12], [-65], [-58], [-30], [-53], [-12], [-82], [-15], [-65], [-51], [86], [26], [37], [-48], [56], [-69], [-42], [12], [-33], [72], [11], [-3], [38], [-20], [-2], [-58], [-29], [-35], [17], [21], [53], [-70], [-66], [14], [20], [-14], [-17], [20], [19], [-30], [42], [48], [6], [71], [16], [48], [16], [31], [64], [-3], [37], [-82], [17], [59], [83], [-36], [-42], [18], [75], [4], [-14], [42], [-94], [80], [38], [40], [57], [6], [-25], [-76], [20], [-46], [-14], [2], [35], [-18], [15], [40], [27], [84], [13], [-63], [48], [-24], [-60], [86], [-12], [44], [-58], [-8], [-4], [-4], [0], [-84], [-40], [-33], [-44], [82], [-10], [-32], [33], [-6], [-4], [-47], [-32], [-60], [1], [-44], [34], [72], [-10], [34], [50], [23], [54], [2], [-8], [-50], [-24], [17], [12], [-82], [43], [64], [69], [0], [98], [74], [52], [81], [-26], [-72], [12], [44], [86], [60], [99], [23], [36], [24], [-101], [52], [-72], [64], [54], [-18], [52], [50], [52], [36], [81], [-2], [6], [48], [26], [45], [-82], [-100], [-104], [-79], [-24], [92], [-23], [68], [-22], [43], [7], [-96], [-59], [39], [15], [-33], [-12], [-22], [-66], [40], [-53], [-1], [-64], [-28], [111], [33], [63], [26], [52], [-18], [13], [108], [-29], [-43], [-84], [39], [45], [-100], [-12], [-19], [16], [14], [0], [69], [14], [-16], [-97], [52], [-62], [-36], [-82], [78], [60], [15], [-91], [112], [26], [-81], [-30], [23], [20], [38], [-115], [44], [-88], [-51], [16], [34], [-70], [66], [-5], [-113], [-41], [99], [0], [-39], [-82], [80], [-36], [-11], [38], [27], [39], [27], [78], [-7], [-100], [-58], [-37], [36], [64], [18], [-61], [6], [20], [42]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 27021597797786708, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '9300.2.a.g', 'level': 9300, 'maxp': 3833, 'weight': 2}
• mf_newspaces •

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

  
  {'ALdims': [0, 0, 0, 0, 0, 0, 0, 0, 13, 10, 11, 13, 10, 13, 13, 11], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6, 3, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [115, 117, 120, 117, 120, 117, 114, 117, 107, 107, 106, 107, 107, 107, 107, 106], 'Nk2': 37200, 'analytic_conductor': 74.26087387979075, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [9300, 1, [4651, 3101, 2977, 1801], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1885, 'dim': 94, 'eis_dim': 71, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 17], 'hecke_orbit_code': 33563732, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 6, 6, 6, 6, 7, 7, 7, 7], 'label': '9300.2.a', 'level': 9300, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 31], 'level_radical': 930, 'mf_dim': 1956, 'mf_new_dim': 94, 'num_forms': 32, 'plus_dim': 42, 'prim_orbit_index': 1, 'relative_dim': 94, 'sturm_bound': 3840, 'trace_bound': 11, 'trace_display': [0, 0, 0, 4], 'traces': [94, 0, 0, 0, 0, 0, 4, 0, 94, 0, -4, 0, 0, 0, 0, 0, -4, 0, -12, 0, 0, 0, -12, 0, 0, 0, 0, 0, 24, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 16, 0, 4, 0, 0, 0, -12, 0, 90, 0, 4, 0, -20, 0, 0, 0, 8, 0, 0, 0, 52, 0, 4, 0, 0, 0, -24, 0, 8, 0, -16, 0, -24, 0, 0, 0, -36, 0, -8, 0, 94, 0, 0, 0, 0, 0, -4, 0, 20, 0, -4, 0, 2, 0, 0, 0, 16, 0, -4, 0, 56, 0, -4, 0, 0, 0, 8, 0, 64, 0, 24, 0, -48, 0, 0, 0, 0, 0, -96, 0, 22, 0, 4, 0, 0, 0, 28, 0, 0, 0, -28, 0, -4, 0, 0, 0, -16, 0, -44, 0, 8, 0, -8, 0, 0, 0, 0, 0, -52, 0, 12, 0, -4, 0, 0, 0, -48, 0, 28, 0, -28, 0, 28, 0, 0, 0, 28, 0, 90, 0, -12, 0, -36, 0, 0, 0, -12, 0, 16, 0, 36, 0, -16, 0, 0, 0, -40, 0, 0, 0, -56, 0, -16, 0, 0, 0, -16, 0, 20, 0, -16, 0, 68, 0, 0, 0, -12, 0, -100, 0, -28, 0, -12, 0, 0, 0, 8, 0, 32, 0, 40, 0, -4, 0, 0, 0, -52, 0, -32, 0, 24, 0, 16, 0, 0, 0, 32, 0, -32, 0, 96, 0, 0, 0, 0, 0, 4, 0, 8, 0, 132, 0, 40, 0, 0, 0, 24, 0, 196, 0, 24, 0, 48, 0, 0, 0, 12, 0, 16, 0, 80, 0, 24, 0, 0, 0, 28, 0, 0, 0, 8, 0, 72, 0, 0, 0, 28, 0, 170, 0, 16, 0, 20, 0, 0, 0, 8, 0, 104, 0, -4, 0, 20, 0, 0, 0, 52, 0, 40, 0, -16, 0, -76, 0, 0, 0, 40, 0, -32, 0, -36, 0, 88, 0, 0, 0, 48, 0, -8, 0, 112, 0, 0, 0, 0, 0, 44, 0, -84, 0, -4, 0, 164, 0, 0, 0, -20, 0, -108, 0, 0, 0, 16, 0, 0, 0, -16, 0, -88, 0, 106, 0, 32, 0, 0, 0, 24, 0, 16, 0, 152, 0, 56, 0, 0, 0, -16, 0, 24, 0, 24, 0, 8, 0, 0, 0, 4, 0, 128, 0, -168, 0, -32, 0, 0, 0, -56, 0, 8, 0, 32, 0, 12, 0, 0, 0, 48, 0, 40, 0, -20, 0, 92, 0, 0, 0, 24, 0, 104, 0, 80, 0, -12, 0, 0, 0, 32, 0, -88, 0, 52, 0, 52, 0, 0, 0, 60, 0, -92, 0, 90, 0, 128, 0, 0, 0, -32, 0, 8, 0, -100, 0, 16, 0, 0, 0, -32, 0, 4, 0, -132, 0, -40, 0, 0, 0, -72, 0, 64, 0, -8, 0, 40, 0, 0, 0, -20, 0, 168, 0, 56, 0, -56, 0, 0, 0, 28, 0, -32, 0, -12, 0, -88, 0, 0, 0, 20, 0, -136, 0, -104, 0, -8, 0, 0, 0, 32, 0, 8, 0, 60, 0, 8, 0, 0, 0, -32, 0, -8, 0, 28, 0, -36, 0, 0, 0, -12, 0, 30, 0, 0, 0, -164, 0, 0, 0, -32, 0, 176, 0, 56, 0, 8, 0, 0, 0, 76, 0, 52, 0, 100, 0, 160, 0, 0, 0, 24, 0, -48, 0, 96, 0, 96, 0, 0, 0, 4, 0, 20, 0, -148, 0, 12, 0, 0, 0, 36, 0, 40, 0, 88, 0, 72, 0, 0, 0, -32, 0, -16, 0, -148, 0, 48, 0, 0, 0, 48, 0, 32, 0, -40, 0, -24, 0, 0, 0, 136, 0, -16, 0, 136, 0, -76, 0, 0, 0, 12, 0, 144, 0, 8, 0, -136, 0, 0, 0, -56, 0, 208, 0, 192, 0, 96, 0, 0, 0, 20, 0, -16, 0, 260, 0, -72, 0, 0, 0, 140, 0, -52, 0, -8, 0, 92, 0, 0, 0, -24, 0, -8, 0, 40, 0, 16, 0, 0, 0, -144, 0, -32, 0, 256, 0, -120, 0, 0, 0, -112, 0, -164, 0, 16, 0, 40, 0, 0, 0, 16, 0, 136, 0, 44, 0, -36, 0, 0, 0, -48, 0, -140, 0, 72, 0, -4, 0, 0, 0, 60, 0, 68, 0, -8, 0, 20, 0, 0, 0, -32, 0, -120, 0, 68, 0, -16, 0, 0, 0, 12, 0, 94, 0, 400, 0, -104, 0, 0, 0, -80, 0, -84, 0, 8, 0, -12, 0, 0, 0, 0, 0, 100, 0, 20, 0, -16, 0, 0, 0, -96, 0, 0, 0, -272, 0, -124, 0, 0, 0, 220, 0, 192, 0, -52, 0, -104, 0, 0, 0, -24, 0, 28, 0, 4, 0, -4, 0, 0, 0, 32, 0, -96, 0, 92, 0, -144, 0, 0, 0, 76, 0, -56, 0, 20, 0, -208, 0, 0, 0, -28, 0, 8, 0, -40, 0, 40, 0, 0, 0, 76, 0, -4, 0, -108, 0, 88, 0, 0, 0, 28, 0, 188, 0, -24, 0, -44, 0, 0, 0, 2, 0, 20, 0, 154, 0, -44, 0, 0, 0, 44, 0, 96, 0, 0, 0, 52, 0, 0, 0, 84, 0, 4, 0, 188, 0, 128, 0, 0, 0, -16, 0, -64, 0, 104, 0, 16, 0, 0, 0, 32, 0, -24, 0, 76, 0, 96, 0, 0, 0, 32, 0, 92, 0, -4, 0, 96, 0, 0, 0, 104, 0, 24, 0, -184, 0, 88, 0, 0, 0, -140, 0, 56, 0, -116, 0, -16, 0, 0, 0, -88, 0, -120, 0, 40, 0, -52, 0, 0, 0, -4, 0, 40, 0, -200, 0, -92, 0, 0, 0, -60, 0, -80, 0, 108, 0, 76, 0, 0, 0, -244, 0, 248, 0, -36, 0, -172, 0, 0, 0, -112, 0, 284, 0, 94, 0, 8, 0, 0, 0, -36, 0, -16, 0, -212, 0, 228, 0, 0, 0, 120, 0, -32, 0, 64, 0, -180, 0, 0, 0, -96, 0, 16, 0, 48, 0, 96, 0, 0, 0, 40, 0, 24, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 1426356
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 7, 'source_is_minimal': True, 'source_label': '9300.2.a.g', 'source_level': 9300, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': True, 'target_label': '9300.2.a.g', 'target_level': 9300, 'twist_class_label': '9300.2.a.g', 'twist_class_level': 9300, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1426357
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 7, 'source_is_minimal': True, 'source_label': '9300.2.a.g', 'source_level': 9300, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 10, 'target_is_minimal': True, 'target_label': '9300.2.a.j', 'target_level': 9300, 'twist_class_label': '9300.2.a.g', 'twist_class_level': 9300, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1426358
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 7, 'source_is_minimal': True, 'source_label': '9300.2.a.g', 'source_level': 9300, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '9300.2.g.j', 'target_level': 9300, 'twist_class_label': '9300.2.a.g', 'twist_class_level': 9300, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4991150
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 2}
  • id: 4991151
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 3}
  • id: 4991152
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 5}
  • id: 4991153
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 7}
  • id: 4991154
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 11}
  • id: 4991155
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 13}
  • id: 4991156
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 17}
  • id: 4991157
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 19}
  • id: 4991158
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 23}
  • id: 4991159
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 29}
  • id: 4991160
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 31}
  • id: 4991161
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 37}
  • id: 4991162
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 41}
  • id: 4991163
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 43}
  • id: 4991164
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 47}
  • id: 4991165
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 53}
  • id: 4991166
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 59}
  • id: 4991167
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 61}
  • id: 4991168
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 67}
  • id: 4991169
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 71}
  • id: 4991170
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 73}
  • id: 4991171
    {'charpoly_factorization': [[[16, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 79}
  • id: 4991172
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 83}
  • id: 4991173
    {'charpoly_factorization': [[[17, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 89}
  • id: 4991174
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 27021597797786708, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 7, 'label': '9300.2.a.g', 'level': 9300, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHFicsW7D72AAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vGXXXd6Pv1fZe596+/Si0Yxm1C3Jsiy5ybJxw8axiTEYDITQnJBKvvkGSIAQviGAE0IgPwhggwvYYGOMC5abLNuSrd7r9N7n1nNP222t3x9rt3PuSAZiYkhyXto65547M/fcvZ/9rOfzfMoS/N/HN+3xsU/fjZRiw5P7j0/a1NrNsx6+J3n4SJdbXzAjbrmqtXDXIymbZxdnb7zylH18/xZqvmTDbJ9WMxVG7l4Be2528ysANgHLwEAI8a3+1f7OPvS3+gP8XXkcPHoW4FJj0g0WYfqDiD/7+J+ze/NpdmxapKZ8Dp/8eLxkX/gLg97Sd2hh41NnfTbMCOL+kO5K4p86Nf/7J04JRDr8kRMTvejMuXk2zcLxYcREK/WGydG/+M0P7P2FZ05+Qvy3//Cjv3ru1JE/rSWPP9xb2acsAQghlfTOAUfqrc3f6lPyd+Lxf6nhOR7PHryAFbUpzx65tb/0BErI+NTS5E92h/K1UliiOOGRRx6jVV/mss0dlruKE+frYEKSOGG6bdl3wufqS1POXJBMTyS0mwGHzmhSEzPXEpxeiLlmp+HACcnMhMH3fWo1zZELkuUe7FmfsHv7NJdf+QIsHlpBP9Jf3Htk+OupTb1XvfwaLtux5S5suCzk+m/1Kftb+fi/AM8ey8vzWHh9qxnuOnK0a/7Db37UvPP1E5f2wvU/3Vs9RLPmc/TEWVZXF4hizVJfklqfmmdpB5bzqwkHzgzZPFNjsq5QImZuwmf3NkV/CEKGnLqgGUZwekGg8BmEMbu2WTZM95BImo2Ijeu67Ds2w+JynWYtJdAx/aGh01NEScLU9BzN1maUDrl696U8vm/hV27ec/bI1t0/KCMxKTevU4eAz0+0577Vp/RvxeP/eIA/8+TXkELcurwSve7JQwvfdeWlFy4Pez6///H93HLNMvMXPI7P99kyq2gEMDdpOLUUoKRFCsOmqZTj52s0G5aHD4X0Q0HNh4UVuHRO06gHbJhLuPWaVZ45MsHDewXPHk94ydUpm2cNzaZg24Zl5pcVtQAGoeXRfbO06pLD5302Tg+RAnyVcnZRMdFMkKRsXh8zv9BiYA23Xdfk+NJV1FopL3/BxL6zS+s/FifyC0Jw1+tf+8pv9Sn+lj7+jwN4d3WFeq02ffb8/H/6vT/6or//+LPpu94cvHBpeeLGP/7sOTasO8arr2vypYcmGZgVXvtCzdcer7Fz64DewOPMkiKMBYFOuHJryvrpkMWu5PHDE8SJYPfmIee7imt3Djhw1GN1qIlCuOnKHvtPNmjXI/ae0ty8RxLFIatDzePHJNdfktLpeuzaEhHFkiePCBa6NTZOweXbuvhaEsVwdsmjGyZctsnjq49bXn1jj3AwyWfv7/PKG1e4buc2HjywiYVB/+F3vHrhkfWz16nZrW+Imu2Zf5sm0dLU1MS3+hL8L338bx9kHjl6HN/T4k8/9TVedXNfqfBzv334qL/ngUfPvvzksVPq3PkOB48vs6E1weaZJo8dmuXW65d44eUTfP7BFg8d6nPJRsuZC5pN6yz905bYWsLY4+S8ZP1MiBCW3VtCnj2iCfwBOzf6nJv3mGoLbr4y5omDhicPt+nHXbZviHiBN8HpBXj8QJ092xO2zcLh84J6EINQHDilscRIG7F1ztKqgxIRnvLoDGDrOsWxM4IbL+8y1WjyxacE7YmYl1zd5pFnLF975DBbt3ZvNKG68dm9Rzl7/ydSr7XlypXY2/97H/rjn3jFVTKd23or1iR2/YZt3+pL9Df6+N8S4CtLZ1FSycFgtfbhP/j58Dve8fP/2qTpD/y73zoW/9z377+ixmStt1yj7cOwL3n0gOAHXtPjml0tzizWuOPhgL//8hWu2znDnY/57NraZ8Nki2NnEm66PGLfSZ/JZgxInj7WYNO0YXFZc88zKfcchGu3W67cKlnqCr72rORVV8dMNhXL3RYnz2pWVi3Ki/jBNyxz/Fybla7ghj1Drt01j8cU5xbmODkPV15iGESSo+cCphqavacke7ZCtyvZs32BHZtq3PmQz7HFAW+71XB+YYq9x6ATply/K0KYSQ4c7fPM4b1q/4XDr5yY6t386z9Rv8mYF3lhGP7h9/zgT/+XZ549GExPTQyTJDHbtv3v58z8byVR0tQgpJAiXZjsLB65pTvQ79l/4HDy4CMHZx5/9mz7iWMJ03ML/Ow7Qmy6mScO1Hn8QMyBcwNe95IOL7uiyRP7J7nryYjJmR7f+VLJU/tafO3pAVfsTNgyXQc7QGiBJzWHzmrWtVM6oaVVCzl+IeWZkyktNcVrX9RjeaXFA89art4huGxbSpoITsx7pKnhsi2Cqy6NeeAZwVKvz2tulNSbZ9h/rMWxs1M0AkG37zE7kXD4rI+vQ5RUWKPZumGJq7Yr7n5sioePxLzl1g7rm5Pc/WiNx472ufm6Zd74Ip9Dx+d4fL/hicMxfdnjZ7//Apsm17Hv2CzLg/Wrk7M7Fi/ZsUsPYvFj1169876NsxMrYI0Q8lt9Kb9pj/9tGPzsuUVOn1285K5HjmzZsyX52CWtT0+cODJoHjssCAeaVh02T1qeODbF1/ee4ztvWWZrR9PpaVYHAR+7s8lMa5Vrd2uGUZOvP235xD193vbyDrVai0cPemya6THT9jl5XrM6SOn3BzTXe8RGM91UbJqSvOLqAY8dTNBSEPgJQSPh4SOKZstjy2xEmMDmGbh+zzydviZMpoiN5qljkicObCdQNQI/RU+GDEKYaA/YAaz2fE5eSJmZ7DM30eILD/g8dSLira/ssWWyzT1P1Hjy6JArdy7zvbelHDg2xeFTglMXEs52Ut70ylWu2lZn7+EmC8uC42fPtU8+cKy9MHiQ5roNf/obPzPo2Hr8XZG46lQ4WDwW1Ge+1Zf0m/L4Ow9way3Ani/dedemMNG/+5V79172i/d/VX3gp04z09rA3NQsg1AzGGr6Q8OOIXzwC9Nsmlnklt2a/nCWMPYYRA0eeDYiipe5djcEfoMH9yk+fneHqy9Z4eXXNjl4ss38ypC6nzA3Zdi9WXF2UbHUkax2U1r1kMD32DIXcfSch5YD3vpSzSP7Pa7YvsLk5Cq3P9pgdRAwO9Hk0QM+V17aZWbC49gFweY5j1otZqqW4mmJlIKH904z0exT90N2bVX4ss7Xn7Q0Giu87ZXQ8ib58kM++04NuPbyJa7fCSfPbGDvEY9jZ2KeOWW58Zplfug1MafOb+TsUo2FFVjqJCz34JlTAyZXH2r2T32xOR+9/q5IegeXOuZd1tozwP6/61nUv7MAX1xaQit92TPPPP2CXq/3L44cOXLrnV9/mscOrTI/bPE7n5rgX3/3Kpvm6gxCxSD0GYYeg9DSO1Pn9geavOSqRa7fo4AprPV4/NAU79/f422vWuWWK2JmJ5s8vHeKLz4wZOPskMu3C9ZNaA6f8egPY3p96PQEWls2z6agJFJGDPqSs8s1MHXWTUTs2tznnicDQhK+82UxadTg0CnJ3JRm84zAmIT5Zc3qMGQQ+3R7PltnQ2baQ5SSaC2IY83hUzA31efmaxM2TWkOHJ/g6/vgzFKXG6/t8o5Xppw8s4HH9gfsP57w2JGUWHR5001DhoNZTp1vcH5RMr8cs9hJOLUk8epD/sXbOtR1jSMHH1Pnli9crptXfyWM/btq9fpv9LqdJ+IkOTg19XeT0dW3+gP8dR6L8ydp1P1LThzb/18PH9r37++9995L9h84wnAYo6UkDBVPH/PYsnGVl14ZE8c+caoxVmGtQGM4cc7n2ILhko2rbJiCRlCj5mkUmscPK86tDGm3I67aYdizJaDbq3FqXuDrmNgqzix7nJk3rEYCrTXrJxPOLxuOnfWZakkEmnXTMUtdyzWXDJGywdnFBrs3Bxw4HnBywXLlJSHnlyRx4jGIFHu2xghh6fYl6ycT5qZD1k1HeBI6fUUQwO4tguXlFnc+UufgmSHT0x1ue+GAm/cEHD6xjsf3+zxzJOHIfERrssMPv77HVdsnOH52khPnPM7Mp5xfjDmxKDgwb3nLy87zI29I6PZnOLcwwbl5OHj4DPsOHLtkECbfE0bp9qmpuft+4if+6cpv/Mavf6sv/V/58XeGwVd6FqVoDofxvzlz6mGvFj985elT0VuPHjiOsB6TEzWMjUnShE2xIVyu8f4vzrJpeoEX714iTgXGNDBWFZH1I09O88Qhn7e9fJU33RQyPTHDVDtg7pRi7wmPI6eHbF0X8pJrBrzmFsmJc01Onq+z2jUEKqY+BVOtlLmJkAsdTX/gsXk2Ik01uzYNqAUxD+wNOHCqztzUkJ0b6pw4I+kMYi7bbGnVDE8fDfB9xUwLTi0qZptgJmIOnlOs9GtMt2OkhKlmjF3V3PuUx4n5kO0bhrz+hQlb5jSkUzyxr8HhU5Znj8ccXwx5/UuX+fsvD6mrKY6dneLYGc2ZCynnFmNOLcLRJcutN8zzA982pN+f4txik+VVj+5AE8awuNJh3+GvsXHzqbem+gn+4TuuecraQ78x6IXzjdZV32o4/KUff2cE1tK5O9E6WLfaXdh/7NCXp2Zqq5w4o1joNFnqaBY7kqVOyuJKxGIn5ewyHJwXbFi3zM+9c4kXXdbi+NkZTp6vc2Zec2Y+5fR8zL5TBl0b8PpbVnnN9Ya6nuDUhRbHzngcPgWnFlM8PWCilXJhVdHvJ6RJgkAQ1OpsXedx2caIyYmYs4uCTk+za1MMFiIDx8/X6A4s7bqg4QskCUGQ0m6krPZ9jl+A0PgYa7l8U0S3n3JmQTPV8rh0U8K29T2ajRAhLVEk6PTrzHd8phoCT3qcueBz6LTg2LmEE4sJQb3Pq2/s8cabIJCT7D/e5sR5xdmcuecthxYsL7xqnp975zKbpiY5fmaas4t15pc9FpYlS52EpdWE5dWEc0sJi1GLl93SNLu2bfuo9iZ+3KTR6k+96/u/1ZD4Sz3+VgN8ebnDhVVBw7e/fOrssy/5k0++X2oz/5J/+V2ndTzYyIXlKRaWGyx2fBY7msUOLHVSljoxiysp51bg8KJgbnaF//ADi7xod4OT56c5c6HJmQXN+UXLuYWEU/MpF7oJk9NDXnpNjxdfDr6sE6iA80s1zi5ozi0J+iEkiaHmG5q1lKmJBAMcP5ew2oPt6z2a9RBrBQif3sCwbUPI4ooG66TISg/CBCyWpU7E5nUe3YFCKIswIe2ax7aNQ1b6guNnNKnRzLQlrZog8CBJBP1Qcm5JcnbRcn45IQiG4CXcfGWPl1wlmGvXWVxuc/J8wJkFOL+QcH4p4fQSHF60vPDKBX7xB5bZMNnmxLlpzi3WmV/2WehIllZSlldjlldTlrqWC6uCox2Ie4v8xv8TJzMT9Xuvu+HHzM5Lr75XqPRnojAgqLW/1VB5zsffWonyhx/+OFNTE5w7N/9LH/rzu3/yw597ODh61jDRELz5pR4vuKRHGPskiSQ1gtSAMRprFc5YASFShLAcWZziP3xI8Es/fJ7rd0S06tM06y3ajYBWw2OyrTi/qDi3rLnzvhqfvSfhsq19Lr80YWl5wBVbQ97xOkOcKASWv7i/xoVOjXoacuysotdrce2ulAurCXv3e+zeKjl4Bm7eA50uREYT6IjZJhw4XadRjwlUwkRLsNKFm67ocvhUwO7thqNnQp457P49b+uQw+ctE62QpdWIz9zZwApFmqbcel2fW663nFvxuH7nkJ2bPJK4TX9QZ++RGucWBPPLKReWE84vGU4sCc73Iq7bvcjPf1+PufYUx89Ocn6xzvyKx2JHstxJ6XRjOr2UTt+y0of5gWTYj7hxd59b9izo6XbrFdHKH3Hy0Ktvmd38babZbv+7h+/5FDe+9O99qyFz0cffSga//fZPc9tLd6o/+cTjP3/w6Ll/99ATx9TJhYj5gWZhmHLtJef59XfNc/3OBueWplhcabLUqbHU8Vha1Sx3YbmTsryasNRNWOjAyWWBrg+55aolvvsVETvWNVnptbmwVGd+yWehI1jqGBY7huWuYXVgWA0t/WHCTDtm23oDCALPcuqCh5AB29cpdmyybFrX5/xyyBMHW9xwmaVRX+bpQ9O0mhFR5DEzZRgM4YptQz78lUn2bE0IQ8vshCROB7RqAc8cG1L3mly3O+HJIxHnF302zwTs2AjbNkQoFXNqAXzPIoRl+/qEqZakOwjo9T1W+x5Lq4qlFVjsGJY6KQudlHMdWBymbNvc47tvXeCWyzU1r83ZhTYLyzUWVjRLq4LljmGlG7PcTVnpWhZ7cK6nOLeScNOec7z7Hy2wZ0udlW6bpU6dld4Uwt+VSn/DLz1z7tJf3D51Jn3Tm/72gfxvFcAPHthPvV6rHz9xctvBgwfefvzkmf/41LPHWe0LOgNY7ksuDCRnuzEvvPQ8v/auJa69tM6F5UkWV5osr9ZYWvVYXtUsr0Kna1jpJix3E5ZWLec7gjM9C6LHW1/W4Q0vMly6sUYUNVju1Fjp+XS6iuWeoNsXDENLlFjSFJS0BB7UA8tk27JuOkZ7Qw6fjXjqUIBJmrzupgjtrfDI3gku2QifezDhZVcHXOgMqGlFksZMT0ESe2gvYXGxwUuvX+Vz97XYsREePhji0eC1LzIkYsBTh1OOnqqhpc/6Kc1UU1APBL4vUAISA1FsGUbQ7VtWeoZu37DSNyz2LIM0ZfuWPm94cYe3viQC02JxZYILS3UWczLowEo3pdNLWOmmrPQsSz0421XMr6a8cPd53v2uC1y5vc7CygQr3Qadbo2Vrs+FJYH1NtNqr//ZPXsu/9N16zefCMPhYM+ePd9qKBWPvzUA37//ABOTs/7Z04d/6MjhQ7/98KNPim6vL7sDw2ovZbVvWB0IlgeC+QzkL9p1gV/90UWu31VjYSUHecBK12e5q1npCjpdS6eXstJN6PQMyz3Lha7gbMcwNdnn217Y5ebLE7avV7TrHqvdGoEnAUWUSIwRGAv9ISAMU60hB09bjI244+EmYb/Ors0+t1zTJzYr3P3oJNdd5nHwXI/OcpsXX9PnzkcC1k9b9h63/JO3rLL3WMD6acmXHlXccoViqb/KkZPTXLc74u6nBiRhg5uv9Nm5dcgg6fHFRxSkgsOnNO2GRgvoDyTGClJjiRNAGrRv6PQszVbM1o0hL7miz7fdkDDTrHF+aYLFlTrLq+7cLK8KOj3odBM6vaSQJUt9ybmuYKGbcNOeeX7pR+e5dkeN+Qzcq72A1Z7PSk+z0lWsdEGqmtl12dV2565dP3Ht1bvff+bsheiSHZd9qyEF/C0BeBwnMhwO3vTVr35+12AQvfuZpx7xBpEgjmEQpvQGCb2BoTu0rA4EqwPBhYHkTCfh5isu8Ms/Os8NO31WVieYX27R6TmGWelpOl1Fpw/dnmW1n7DaS+kNDJ2+Zb4nmO9BnIZce9mADdMpvb7l9S8OuWSDIUklWlqiGO56osaJCzU2TiU8fbgGpsHlWxTX7zEEtT6PHOwzv9DkqkuatCeXue9Jjxsvq7HYX2F5uc2GDZYH9yq+77YeD+3VbFnnsdDrsLw0zfVX9Lnv6ZTp+iRX7epxodPhwWcnqesmL9xj2b1tCLLHE0cF66Zjzs/H3P2ExzBWSAmpsVyyMeLbXhzR7Sk2TRmuvwyiqMFSp8FSJ2Cl57HaV3R6ktUerPZTVnsp3b4jj5W+ZWkgOb0q6AxCbtk9zy/+yDIvvMzdHJ1undV+QDeTQ6t9Rbcv6Q+hPzT0BzG33HJTLIT+N9/+7W841GjUP6O1Z77V2PqWB5lp3CM1vR84ffzRX188f3D69JklPE8hpGAoLdZajMkDR4PAIoVFSouUmocOrOdnfl/zlluW+J7bltixOeLcYpvAr1MPfBqBR7Ou6dYlrYHHRFPTH6b0BinrQ8MgtHSHAUvzNU6dtESJ4fS5hCCwgMBXFi0F/YFC4JH0NS+4RLBzk2Xb5j5h2uXzDyn2HZriNTcEXH/FMh/8vMUXDS7Z3OfJ+xSbJxWz7T41VSeKPS50oVnTbFkveHxfxPW767ziugU+cPsA32vx6pssXtDnyw9GfO6BJs8erXPppgaXbEyZm4rYMRtz9SUpShm0soClEQTMTQZEsUe37/P0QY/eUNMfKHpDSW8AvaGl13e/e3eQ0htYVgeWlQHM9xXnly2NiQ7/9HXz/L1bQq69tMnZhTadXo1uBu7uQNEdSPpDwTCCMHIriBCS++5/2Ks3p3691ppbetlLXvSTK53+ByYnGv/nAjwcDkhTfuTUsft/+ej+L08T95me8AkjSRiDQIBVZKYIQoAQrpNGSYuSKb6UPHlwjscONDl45gJveUmPl1w5ZLLVZqnToLlaoz3w6fU13exiD4aafqgZhpZhZIhiSxxbktQdUeJjDUgl8LSg5gsmW4KpFmyYNWxZ32d2qsMXHoGvPeYhzQSvucHjBZd3uefZmGjY5pYXCDqDARcWm9y82zA72aeuA4aJYn41RhnBC3ZrGq2QR/fXePn1E7z42i6P7ldgJ7jhSp8ffuMSdz4e8aWHmuw9UWPbnGLDdJ2pVoOJFtQD8LRFSTAW9h4VpKkgTgRRAmGM+x3DlEFoGIbGsW1o6A1gNYT5nuRCF0Iz5FXXLfGml3T43lcbkqTNuYUmq70a3YFPb+DRGyi6A0V/KNyRnb8wSl0sEKYcO3OaQyc+P90fJP/5rW98he73+r/faH7rQP4tA7i1F4DhDy+cvPuXLxz/yjpp+ky2A7xBSl+BUgIpJEIIhFAIIZCSDNyglEUri6cMdU+w0K/zka9s4cuPrfKyq1d456tWuHpHj5nJBosrDbqDgP7Ay4Ct3BEJwlgSJ4IkcUt9bjEqadEaaj406obpVszmdX0Sehw8HfPRu2scOdlkMqhz45Wam69Z5cEDHe64v81Nl9XYtrHPh78iUCKg3YpZ6YUYC0rAXLvPatfHJHXe9LILfORzDXaer/GGm/pE8SJ3PzVDnNZ40ZXreMONq1y2tcOXH+3z5MkGTxz12TItmW4LGoHA99xNKLOb31gwxhIn2c0aW8LYAXEYwSCC7lCwHAqWuiD0kOv2rPDOb1vhZVemzLTrLK826HTrdPsBvaFHb1CuBP1QMhjiwB2mhKFhGKWEkWUQWsJEcmGlw/s+cue6xb745e943UvtgRMrf7B72+T/GQA/8ex7+YFf2cxP/n/3/OAVl5x6921XPDDbroWYpIUQCQIQEpSU7qJJiRQO7EpqpExRSmTLs8FTlkBb6lqwPFQsdqb42F1NHni6xy3XrvDOV69w3c4OM2mdJAnoD2v0Bh6DUBPFijiRJKnz0o0VhQQKfEOjlhD4Eb4Xcnox5PaHJYdO+Rw9NYUyATs3+lyxQ3HD5auoYJ6nDrfYPNngqkthw9wyS6ttrt4sSYzlCw8FhH3JZDPhtS8a8pm7Y06ca7Fnl8fZlSHPHPHYun6Ka3fMc8+TXe57RhBGPpfvmObyrQGXb+ly+OwSh07DQ/saHDzSpKEFgZY0A0vNAyldUGWtu1mTFKIEolTQCwWrQ8FqDJFJMHbICy9b5Z3ftsrLrk7ZOB0wHE6w2KnR7QX0hj79gaY3VPSHikEoGAwlg9D1jQ7DlGGUuhsntISRoR9ZBiEME8WxY6ss//kX1l1zyd533/qCycRaPghWdIfYdv1/Xej3vxTg/+rdH2TrFQ/x/p+y3/v5e4/+5uFDT0y+andIqzlJkkaAcBJEWpR0AZRSoKRAKoFSCqUEWhm0SvG0wNcG37MEnqXhp0zWBN3QY3l1io9/rc1XnhiyfqrP22/tcPnWIcNBj6t2WLZuUISxR5oqUiOxObilwdMpx89bjp4TrAwMn76nwemFKWzkMVVTbJrRbN+guXQzXLVzFSMXeM9nmiwtTXDT5Zqrdnb48hMCkXism5I0Gwn92EdaCVaitE9nKDi/JLjSNrj1hi73Plpn06zPTVdN8w/fuMD7P9flof1NekOPxZUWOzbV2bOxz4t2d/nOl3c5s7TEp+8JWOwHHD/rcfq0j6cEUkoEAmMtqYHYWNLEMDUTc82VfcIw5vKtIW+7NWTdhGK6FRDHNc7O1+gPfPqhW+UGBbClA3coGIZkgE4LaTKMbHEMIuiHgm4o6KaK0xcWuPPr+2bvffiqX7v5Zft/9rYX88PWhF/7X4m5/2UA//QnP8J3/L2Xi3/5n/gulT773jffdF/je18VYeMavWFEvaYKkAlJEUg6oEuUlGgl0Cp71gJPp/ha4HuGmmepx5ZGZJmopUzVBf1I0o2aHD3V5Ff/eBpMgkgSbrimz44NEUkCxhqsdUkcKdyNpD2f/Sd89h6q0axpWr5ktiGYm5Gsm9ZsmlNs35iyZ/sKqVjkv3+izfETk9y02+PyS1IGSZf7nwqYrHvMTFgmWxGNupNCxkg6Q8VSz7LYSen06rz0qhUe3ttn3wnFZLvGi66c5EfftMhvfRIePdSkN7CsdDXnl9psmG2wbmrI9pkh//q7+rQbHZ48CvtPSjzPopRFCANY95+FJIFLNqTccnVCGnvESYC1DYaRx7kFn0HoVrRhpAr5NogEw1AwjBxrh5F1UiQ0hJFhGJvsvfyAfizoR4KVSNC3lpUlyX/+QJtrdh2ae8EV7587dXDXjq27f/jrf/aJT9i3vfWt//sA3Ib/FfzTauH4R9+6Z3blg//qN0/Wnnq2zn/+J0Ou2B5ijcYaCdbpSCEtSmqUsi6YVCrT2xJPO83pe4rQk4SRIYhSwthSjw1hbIgiSzuBMDaECUSJYBhLwjQgTmvsO9TkiX2QWouDttPGngRfuZqPVgBXbYR2HSaakqmWYmZSs24atm0I2Ti3QmyX+O+fmODwkQmuv1Rx6RbJzi3LfPWZhPOLE9ywQzLVNtT8AYEMsEqQpBJhLUkasdyrcX7R4/rL67xgd5d7Hq2xfkrQqLW4frfhn751kd/8pOGZ0y1WeoaVrmJ+WTM72WSqXWeqPUG7ETPXjNl+fUTgJXg6QakUKVwwYXE3VRwrLsxr4kQRJ4ooVoRx9hxJwlgSRpJhJAkj4QLUSBBGTn6EcRZMRpmmj937wwiGsWAQQz8SdCLBciQIowjCkMt2dPkPP7bEjdvn+eiX6u/50Z/5o8GvfrLxie/+V3+UfvS//s0XbP2NA/yf/NJHePvPTaobdpx424svfeoDg8GBmudN8YV7J/A9yy/+eIertvSdQ4IDt5QWpXKnxOIpi6cVnrZ4kcT3hLsIniD0FVHsgB7HlihxEX2cVI4UktSSpobU4PS2oQC3EKAkaAmeB4EW1AJBI5A0G4qJhmRqQrBuOmH7hj6t5gqfuDfi7qemWVloc802xfaNHpdtHZKKFb7wUIOmp5mbUrQaQ546DM8e0Vy91dIPFddeFnPNTsu5synzyz6DYYPX3djl608OOHha0axLAr/N1ZcafvEHF7nrmQGfuWuWxVXL9nUpyx3NZFsx0fRoNTyadUstMAS+IdApWjmpJbPWSmtxCSsjSIwkSQVJIogTSZQI4lgSxs55iWJBFFuiCMI4JYoNUYU4wjg/MpcmB3cs6ESSlRiGYYSMe7xgR4f/8OOLvOHmmIUVj6f2PlhrTnT/6H/8o43/4IUvnviz9/6r304ntv7E322AXzJh5Jx/4XvuvG/hd/7zB1ZqSbqBXqqhnvIX92iiUPO221Z5+209Jtopqp+ipEEr3wWROsXXGi/WBFox9BzThJ4k8gVRLNzFiRVxAlEsnYOQlLZfkhrS1LkLqc2ckqIgy7kzSjrZ42tB4EtqgaRZF7QblsmWYf10yNxUl8Su8LGvS97/uRnW1Wpcs02wbaPHJZsM2zcu84n7LUtLNS7foJhqQ6sRc/6Y5MJygL8DwlgwNyGZnISDRy3Lq4ZzCzUuu6TGbTd0uf1rNWZaEPg+Sk5y9U7Bj73hAp68wF/cM8Wzp2usX41ZN5kw0VS06opGXVIPNIEPgQdaO4dJCpCiAnLcjZ0aSFNBkpIBHeLUEiUQx6kjhdgQ5c+xyWzH3JVx4B4kgmEs6MWCTiLoRpY4DJkIVnn76xZ5+209XnODodero4Xk5/9hn97gkVqtfv17Dz4xpY2d+hMcz/zdBPinPv0ZktT84Oe+8uSvnTl6sh3YSVILvo8DnfL5wkOa+5+pcXZpiX/ynQOm2gm1IGG1V0MrH0977ohSIk/jR06aRLFLpTvGEY6JMlZKEohTSFPnJBhjs2pDm/dwZuB2AHeBq8DTDiC1ABo1Q6ueMNlKmJscMDu1wr37Iv7ojjr7j05yyYTHzg2wZYPPlvWwZ9sq/WSVB/e2qSuPuSnFZAsmWyFTEwm+rxHC3VyD0GdpNWalb+n0Ei4s+2zb0OLFl1/gjof67D/dphHEeMpHiAl2blZ8/6sXeOGeC/zRHS0efHqSxZ5mXTthspHQqEnqNUXgCQJP4nkuVlGKzD50KLeQJc4ogJ6kJlvdMmsxMSSpA3cSQ5TY8oidKzPMgN2PBd1E0E1gOEgwyYCZxir/+O8v8a/f0adZ16x2m8SJT5IqjNEo4XH+3Pl2P53577Z2rX/XV25//623vfHvHsDnFzsoKX/kD/7wk7985MipmcmGwNOGfgz9RDBIJYMkIFSaldDn1z7qs/fwMm96eY9br+uyfjaiu1pnEAb4XkLge4SRJvCdvZcDPI4lUeKW3TjJPO2UzPojY26JsZTgdknKjLlBK5cw8T1LzTfUawmtWsJUO2Tj7CrnO31++9MeX3h4mqXlJrvmBNvWCTav89myTrBj0xDtr/CRuzVHTjbZvV4y1ZJMNFOkDDk9bwm0sz2tFUSxZvu6VR4iZbWvWF61nF+qs3tLje+8tcOffdnn2PkAT8cI4WFskziR3LBjme3vWOULj/b58BemeeRYk81TgtlmSrOWUvMFgSfwPReraIULnKUoajIs7iYzFue0pA7wOciT1Ek6B3aIUpepjPLkUSIYJNBNJL0Y+rEh7YdsmV3lFdev8OaX93n9jSmeaLC8HBAnPnGiiRNNFGuGoeeSRsNTM5umtr772hvfquJo5fc9/2/GJ/8bAfjySgff9/7hZz5/9y/f//BT64y11DyBwKCFwJdQTy0DJeglir6s04k9PvLVGnc92eX6y1d5x6v7vOGmDjOTAYNhwCD0CTyPKPGIYl0ESkmiiFNJkkjiVLj68FRkNeKZ1jaCQpVYx9xSuGSRypJFvmcI/JR6kNCqh8xO9hjEA778lOWjX53gwacnmfI9rt5s2TgtWT/js2lOsmV9xKWbl3ny2IBPf32OCaWZmxC0m4J2I6bTT/nc/TVavkUIB6xBqHnTLSGffcDVxHR6hgvLmi3rWrzlJT0e3Ndl70GfZpCgpHAgNw2GkdP6339bh90bL/CRu1a579lJTizX2dAWTNQsDd9Q0wbfA60ESpIlyNzvnZcfmUyqGVOucEkGdEcQEKeCOM2AnQqGiaCfCLophJEhiSKa9T5vec0S73j1KtfvTlk/rRkMWqz2/OxaecSxJkoUUawJI/daAIvn9647uPf+X75kz8tNr7/6vmbjm9848U0FeL/XYWmlh1biB77+9Xv+y1e/8pWZZLhCqyaJUmf9KWkdY6bgJxBIqClBT3kMPMWpVZ8zDzR44Kkef3ZNl7fdNuC1twyZnvSJwoAwP2mJJs6AnqSKJM0SNmkJcGMz5jZlYkEImwWVro5Da4PvpQR+TD2IaNUHpAy481HJH39lkqePTiDigEumLBsnLbOTirlpnw2zkk1zMds2rHJyvsvvfqZJEtbZskUw2dK0m9BuxAgvYnXQZLJlEUJgLcSJZDpQJCahG/t0+ynLq4rT83WuvLTFj3/HCu/+k4Dj8020irMbQ5MkNYaRZMNMwA27Vrnm0h7PHD/NR79a545HJjnTqdMMFC0fmp7F1xZPgZYune8C+fJhAGvcTZcaQWohSV3zSJwKotQliQapYJDCILEkSYKJQ2ZqA173qhXe/qouL7s6ZqKuiZImy50gA3WViEqAR7F0pkCsmF/pcer819et9PR/ufKqFyYXzp/9Q8+vMzX1zWPzbyrA06TP+tnGm59+6tHfeuiBu9tJ1GOipRmEFpnYbLnMrL8kcy2kxU8FdSXop4K+CugnHhfCGn/xQJO7n+7zoi/1+Gd/v8sV21ZZN6loNzRR7BgiSUqQpznAjcRYibVOEpQdPlmqX1mXLNIJgZ/gqYjVQcz8asxvfKLG0QtTPLp3Emt8ZuqCdbOW2QnBTFsxM+mxfkayYSZh81yfmcllvvCY4ZFnJ7lmi2CqJWk1JO2GoVmPEF5IEGi0cj/fWkhTmc1qiUmMoDswdHuWpVWPc4ttbt7T48VXrvCRL9WoLym0jB0grSZJfaJYMgg9ZidrvHBnjxfu6vHQK85wfF7yR3dMcmGlwanFAF9Jmp5bMbVy51rmIBdALlVwTJ5YQWIgNoIwhWECkbGQJpDESBWyaWrANdvd9bjxipR2XZMkTTrdIOuw0hmwHajjRBHHyr2OZWZPOltyMJSsdLscv+OrMytdfuu6629Y7qwOPv3NxOQ3DeD3PbSPh7sb1OSzH9h1/NjxdhyuUq95WJtgrckieouSbtlU0qJTS6wEOrH4KQSppaEEAyXo64BB6rEY1bnjkQnufXZAMwj5B6/vsGUm4ZJNA26+qosWilZDI4STKy4r6Wqlra0wd2ZBKuE8c0sCMuGZo5KH92luf7DFMydaREmDllbM1S3TTctUwzofvK2ZntDMTAo2TCdsmhuwcW6Zu58Oec/t69g4qZlrQ7upaDcFrUZCPQi594BiGGm8pgOVtYIokdS04rrdAx54atIVPg1SVlY9FlYCzi9M8eNvOM+phUUeeHwOTwIixkAGII8wkvQGmqlWjcl2kxfv7vOKa/q845Xz7Dtp+OyDNR7cV+fAkSaJ0IShoh8rVFHfUw08s5yANSTGYo3BEykTfkSNmBdf32PHxiFbZmPe+dqQui9p1j2iqEGn69jaAdpzknHkkJkd6bx4Zwg4r30YCeJUcmF+iT+//avtpw6e2vUv3/V9qre8N21OXfG3B+DPPvssu3as8+958MEfuvdZ+2tHDi7gewFCGLSWuKpg5wZJQcbiAp06kGvpNJ+XgbymBI1UEBoYph6D1KOf1uh2U/7LR6awScz6uSFXbhsyM5HwttsGbFsXEcci09sSKsxNpj+lNAgp+PhddZ483ERozfEzDU6fb1CrKyYCwWTT0q4Z2jVo1QUTDUW7pZhqaWYmYXYyYf3MkM3rVkntCh//eptBr8llWyzthqLVkLTqhlYtwfMivvBAjbAv8daBzMAUJ5JmXfG6Fw342mOGXijpDVJW+5qVrubcYoMrdrR428tWefSZBseXWihpgDjTyx5x6phwGEl6Q02n59OqN2jWQ67YMuSmPUNOXuhw7OwK2kt54ojmz77aQChXuMb4/EFr3DWyljhK2b4+4e23DZhtp+zZblk/A2niEUYtksRjedUjiRVxqrM4yAE6B7iLiWQR+JdAF4XzFSfufDSbPutqK7xwd/prRw8+1Mff/f6DB/ZFl+2+/G8HwM+dPUVnZWH3+bMnf/vxxx6TSiksTutqJbDanVAhDCrJ3QtLkjqQe8r5sF7qNGBgLLXUuiDHWKJUEBpJmEoi4xEbmO+1+eqTBkvKpx6MESJ1F8m6iwSZWeK8wKwiUSKVIok10mg8LWkFsGPO0vQMjcDQCKARCJp1Savu5NBESzLVhpmJhLmpkE1zXVKW+Y0/r3HPU+vYOQNTjYy9G5JWPaFRj2g2BtTrDQIlUTLT4Dg5EMcew4FgEKZ0Q0VvaOgOjGuZa/qcOj/BS68M+affdZ5f/zPNiRVHGNbGmNQSJx5RLDNXQtEaaJo1n0a9RiNoUAtiWvWIGy6L8L2YGy9LeOer+miVZEkggxB2VJRnks4YiRCSwFOAzzDULC5rV7eT5jFPJgszICepA3VSBPyls5Ukongd5b579p61UA8kNd/jgQcel0srwW/PrQu/HkXDp78Z2PyfBvjjj3yI9kS3fuLowbcunjsp1s8ExClFhK4UWCtBGKSQrsZEgUpxOlw59tap631M8og+FSTGlpG9cfrQHYLISBIrSY0mNgFpZntVH0WWUoAWwml+BbW6paYtNZUSeBBoqPmWeiCo+5JGXdKoaQfwpmCyZZhuJ8xMhqyb7rFp3SLvud3w4TvWs3VSMdsytJuKVkPRbECjntKqx5xdNBw+G1Dz3Q0NeaWfYBhpdmwwbJgdsjr0GQxtxuKSla6mVa/Rakzyzldd4MjZc7z305vRUmMxpCYlMZY40YSRYhC5oqh+TdIYauqBRz1I6XRdjOF7KZ5O8bwULV2jhJQunS+yw5WuCEBkIBd0TFZlaVxck6YSYySJKeOdJBWkqQO0Sx5lmdK0BHZ+xAXQs+ubZi6OdSPwhqHg+N2Pia2XLL51646th3/3gx8evOsHv+9bC/A77m/51nR+WqWnfrol+rJWC5CRA2uan0CMK3uVFiUsyli0tCQyBzOFZ+3sKufJpnnWzbjyzyLNnlXKOS9XFIFSVXMDhe6XArQ0aElW0wKeEnjaOt9YC2qBpOZL6oGiXlO06pJWwzLRTJlsJUy3Q2an+mxbv8iDB0I+ctcmpmoB61uGdkM4cNclzZqhWUtoNUIe3A9P7Guwa85murdMmw9CxY17LJdtG/DQ05P0Q8tgmNIb6AzkHo1anXptku9++RJPHLjAA3s3gFUYk7py2MSSxLaoJxmEmsbQUq8par4h8D0CPyXQBq1TPO1KjPMyCCldaTDCIsq2kkpw7kqITe5Imdx+rVixObCNKMCeZ0lTMwrwJFuhk8QRVTpy3Z3vvrTSl7vk6Z9/wZaGv+6a9i+9C6JvGcB7vb7s9Qe/8N//xwd/8tixef+ybe2sjiSzpIxAGpBSIlNLKt2hUkui3HNqnA53J85ishOTFtlHHDtnIDdZJi5PVlhrqWTeR1bcPFWdJ3SUzDKWikrRlsv+Bb6iFijqgaBRF7TqlnYjZaKZMNkKmZkYsGlumQf2D/iFD6znxKlJLp01TDagXVc064pmDZq1lHotxveGdIauGtJTFinLT+YuvCROfNr1mH5i6Gd11v1hSrcv6dQVjW5ALWhxyYaYX/yhDv/+g5L7967HojDWkKaGJE2IEkMUK4aRYhBI6qGi5ksC3xL4ikAbPM/5/VpldT7KFoRD1iwxQg9Zat9mJGKzWpY0A3xqymcHUJk9iwzwldeJW3XTlGyVLkGdZ5hNVhi0ec7HS5f9s2c7/2bH5W/2hsPBz9Zq9b92Ov+vDfB+r4u1yS898tC9/yLqnautm26RpJIgA5OUILMkizTCaW7jLMI0B7fKMmnKFiyd/7I5uJ1HC9ZY10WelYBWD8YAnsnuLLB0EkVJgVJOEumsFc3TksCX+J6iFriRDPXA0qwZWo2UdiNmohUx3R6waW6FB/b1+ffvn2X/iWm2TzuHpVWXNBvSsXfd0qilNGoxcRrxoS+1kErhSYsSpU1obL6Ue3z/a5b54iMR3SignwG8N1B0e4pOoKn5AYHXZs/WhP/4w4v83PsF9z29HmMlqXFp9ThxhWZhZAhrrtw1CAQ1TxD4LrPpa1tkbLUySOW8cVeWXAF4mfIEMhLB5RKc25IF8jmAs6kDpkiukbE7xYr7/MDOCCtLL2slWOo0eOTJs7VY3fMvX/ayV4hOZ/VnJib+ekmgvzbAz5w+grX2xUcPPVGfaBqEUEXGLH9UAZoagUrFKKhTi1ElsKsMbUzZfuX+HeHqKHJQ5yd+7HPlAM9rMPKbLWdvrfO6E4nnSVe/4QtqgZt50ghSmnUH7nYzYrI9YG6yw4P7+vzC+6Z55vgsW6YEM82KNKlpmjVXv1KvJdSDCM8LOb04hacESprMliuDzDSVJIli45QlSWJW41rWKWMYDFO6Q0m9r6j5Hr5Xw9MTXL4l4T/+w3n+7R/AA8+uIzXSATy1xEmaMbkhDAy1SDL0VSHBPA887SSaq1Nx7pXMvfHs+SIYd3KFLCmEKJJDJksO5dniNK0kjSr1LibNZai7fq48oHLY8qcZ4+xDk8Z07324vmHD1hcL+dffceKvBfBj+25nZmq18aU77/Y9scJUe7SfsWRX94uqHOjK3d1GCgdoXfllbeWOLmRI+T2by5H89XN8NinKIiopQUpRgFtJmTVK5PIEah4EvqFes9QDp58b9Zh2I2KyOWB2qsMjB4f83O9P8dTxOTZNKuaahom6oFWTNGqKRl1Qr7mbw6X6Ix7YK+gNfWoqX9GcBs+bEFIjiBNNs6a4+aouDz7Tph87mTIIU/oDRTdQBL7C9/xMP09yxVbDr/zoBX7q9+C+veuIjSQ2JmuWLnswQ18S+Maxt1fW0WuVH2QypZRxMsvyXgzkeVLI5gDPAJ8WzgujK28uLdMxAjM5VmyFvGx5Ta0pWu5Wukt86COf9l/x6tc33vfhz/b/4fd9+988wK19Ctg4eXL/Z393sr7y8rAe4mlNnLglqtTGovILZMDOQF7c8QaMEhdn7QqgixNgy5uITHsXF0OIop9TCFEUGakC4K6R2dOOyXwP1wnkZwVWQUo9kxeteshEa8BUa5XHD4X83O9P8cSxdWyY1Mw1DBN1aNYEzbqiUVc0CvZOqQUJrcaQu5/wWenUmJoq0+Q5YEymTeNUsW5G8aoX9Lj7YeO6aCJTAbmk5klqnsbTPlrXkdJwxVbLL//oBX7q9yz37V9HbDRxVgHoyl4dkwexLKoLfS1dTkILtBQoLSpJt1zOiTKdL/L1ZjQhNH6YyrMxlecKeFOzlrGL72eEVo2pjHHFXsPQ0Ev6L39639E/eMc73vKuLz90eOVVL9r5NwvwC6cvIMXKT0W9vd+jOEuj3s76GF2knAPXfdCs/tgKjKqUaVbu+Fx+pIUMoWDvkUBynLkzpOcZuUJ7y7yCrtTdecWgVrj6DG3xPNdYXPMNNT+lXkto1GKatZBWY8j0RIdHD4T89O/N8viR9ayb9FjXSJlo2AzcGXvXJPXAsX8tSGgEEYkJ6UYBQkm8nMELDZ7d6Cbzi2OPpj905QJRjakc5MOUvu8YPPAlntZ4Ot+A1nL1JZZ3v+s8/+/vGO7bt57YaMJUEKUmY3FBLTYEnsX3XO+qzuIOrVyJsJKy7HkVIPLnSmFWcWNWY50xcBckVCGmHNzPB+ryz2T/lrGkNtPrqSVMBMeOLxL7R77npn1PHR6G8b/9G2XwhQunmZnbtP0zn/yDa+ywTyMI8JTB+qBSiU5HK/jSAuQl2PNxY+WdLooTlZrqCRMjUqcqf4pTnbN2NajMl9usQ0dlwZTWWWdQVoSUVw/WvDTTzTH1WshUu89Es8sDexN+5j2zPHZkPXMTmrl6ykTN0srAXa85OzEHdz1IqfkJ7WbE3mOWux5t4kuJp0wWxJXBSR6XxKkiMZpbb4jZdWmPwyfqzDUo+xzDlP4wY2Gt0NorupyEsFy1HX7lxxb4t79n+PozcwzjukuGJZZGVsMdeDiQ63z1MkVvq1RpscIpKSoAFxWQs0avlCC3owAvKhTLlbeQIAWbU/yZcYDn8iW3juPU0qop5OAch/c+ds27fvSHtx8/cer49m1bvvkA73XOENTbl5w6et9/a3rLb15ZjTGeQiuTVedZUiWyZECVpXMf1Y49jy5ppR1VidyrLskatyRj7nFw54mkLFvqqhcz1tYWXxs8zxB4hsBPqPkJtSCiUQuZnuiz3O3ztafhV/54A08emmU2A/dk3dKqC5o1UXjlznkxjr19B/B6EBKlKcNBjZpyN5kUlaWfXL6JLNDUTsvr0M0WiUUF4AbfT/E9jedJtFIo6RUAR8C1OwS/8q5l/sufJNy3b4YznTbDpmQytbQSSy2bOBB4NvP+cyfFFuydS5Uc4MXnzT50FeeFQswuii2uVaX8tiIpy2trR+WLpQS9HdXtqbGFR66VoLs64MDhhTd/4c770pe++AX/8tjxM8cu2b7pmwvwaHAIE9dvirpPvFWlTzIzVStmcBhrUFlmy1l+uWdaBfg42PPlOr+7ReXErAV4foqrqjC/CG7cQ1nnkpcClMOBXFmsp002ZiItwB34Gbine8wvD/jlDzX49P1zLPSmmJuQzNUycNec7m5kgWU9kDQCmzG40961IAIivvK4z3LsMxMwUo+NGF2h0tQ1P7QDzW3X93lgf0Q3DpgoOtYNfuhq1X3tAK6VRUkPIV2CBguXb5X8+j9b5bMPDPil963n1MIUg0nNpC9oJYZGAkHsRi/7yg008vJAU4oiCM6fq4F69cYUougVKa4PjEnIHNgjzF7R6pW4zFRuiCJAtRQMbrLE3TCWfOm+g/jt9W+VQetD3d7g2DeVwa1dBVqXDZa++M9VfC+zk5FLuxpZMJFWWe9jkdotJYkxckSOlEwtinptiy1tqHHWrsqS7ETnzJKnm3MXQOUAVy5bqrPsnaez/k4vxfcSan5M4Me06gO07nP3Eyl/8Lk2t9+zjsi0WdcWzNacLHEWYO6Tq+wQGXNX2TtG65B7n52kH2k2NvLPM87geZAtiRNFzVO8+IoBiXEAH8TCda3nneuhi3GcxakyILrsowObYHZS8D2v7NEKzvC+zw342rMznIvr9GuSdmJpautArrM4RNksLskrPPNzKMracQmSksXHdxQspEo+ooJxbV7tHirLN3LmroJ8BNym6qNDYiTd0Ocjd+7l0j2X//Mf/65bHju7MDi4cbb+Pw/wx/ee5NDePyVldlOdJ17R8o8j21OEoSGKvZFmA62yFK41riY7zVO9NnuuBpJiVGuTA70K7Ir1ULWvhB2TJnlWzlUMutFuJqv5zsCtXC1G4MX4fkzNi2g0hvh+nz++Q/Orf7iOw/PTeEGNDS3BdJDSDizNAJpZh309cNnOWpYQcvUrabYSOHmysJrSi3x8pfClLQJMKr9KfmPntRtR4lH3hmyYHLDSbzGIRTZuzcUKnpdmNp/K7E7lAD4SuLrKxze/rMeNV87zK3805MNfmGMpadIPPJqepK1dDU6gwVcUzRA6T/pkK58spEqZAKqSyqhYqQKdi67ABeBNBdRjzkuRFDIlyBPjGi76iaCTQPfEPE8+/fArPjO7vOnEuZWDYe8IQfPS/zmAJ2mKP/33L/nSfU+951OfPcS/flvCC3Z26YgmUhriRKNShcpqsVOVsXdqMEqOSZMs5WvLeofil6cMKrHioj63wJZsIvNBnNUhQRYlDXKEudMM5Am+dpIk8EMCb8Cx8wnv/WyTT359hiPnp2g3PKZrMBWktAKbpd5zcMsM3LJICtUy7R347sZpN0M+ca/m4PE6tWwCV9EuRonyYoyDzQqVEs3l2+GNN3b5g8/P0Gto2tnskSDK4gblSo/d2DoqIPcqlOpWhW2zkp/5vj7X7DjF790+zZFzEywldfqepqkEjQzovrTuxslcpmL1y89rbh/i9HmZ6bRrffKcmPLSCbs2lqqyeAlyUdHeWRlDJlFC45pgVmMYDkNuvGyB77j+Tl5x3e73+K3Xvj6Nl76hVHlegHd7Ic2Gz+fufGTLQ48e2PnJu3xUOs2v/ZMlZtqSDhmwEgesvJsmNdKB25iMrXJgMwbyCntbUbBAcbIK2rYjOjAHtnvORym7z+Bck5y9UzyduM4dnRAEIb4O6aYRv/0xn/d9dgOnFycxqs70hGLat0z4hkbG3I0ifS+zOpVMmmTeeQFu32Uvwzji4KmAXhQwFWQuTp50yl2JPAtrKzUpsabd1OzYEqGCId2oxcAX1GNLmANcp1miRjkfW+YlwBcLXhVzE31+/M193nrrOd732VXe+/EZFgZNBrpGTSsaWlBXliCxjs3zGn1ZljfkWc41TM5F5Mq4w8Iok5fgFhV9niWDshKAnL3jVBAZGBhBLxGEg5itUyv81Ds73HSZZun8/p2NeHrL9IabjlkbIYT/1wP40tICJm3OzU56Hzv47BPeukbA8mpAZFI8L8LTKvulLVIqUpmB25TDLK2VBVs5WVIBdgFwUQD64hlKW7EDbQHsEXkisyo5lc1V0SlapfheTM2P8L2IzjDi3iclf3xHm49/fYZh2sL3fWZ8waRvaPqWRmBp+CW4a4EkCCRBJk1cYihzJjKA+57LfB49a/naIw2i2CNo2jUBZv4o0txZvBLFCs/TvOrGLh+5s8f+U00GNTfvJfQsfgJebPAig1LS+dbSDSQthvtQroipkSRG0gg06ycH/L/f3eeKbSEfvqPFw3snmB80GSofz9PUtKAuIcgHLOX2qsxaDAUVkI/WrIwXZ1UZvViRKwxux+VJNd1vM1liITKCoYF+KohTA2lITYVMNaEXTvHskYPelTe+8mO6s/qCKOzO/7UZfOuWljx57MhNJw7dN3HLlYZd21fZtmWFds0CKZ6OC4ZV0mQAV0VpZbXMstTblSMH9gjIs3+yQuC4Hh3H5EVK2RTlnk53W7RKHcBVWsgRrWM6vZh7nhZ84PNt7nh0gqVOC1mv0aorJj1L2zc0PEvDt9R9MtZ2zO2K8RU1X1DzySr0TAZuQ+A5/a10yIFTcLpTc4mVTN+OJk7K+hnXBymyJVkSRZr1bcFlWwc8dSKhH3uE2YxvP8KBT+WTdfNEDcixzpyqJHR12q4+/O2vGvDaFy3z5ce6fPALbR7e22ax26AjfXq+xlcCXwoCievhlBYt8rgmm0IgsrLfizD42vqV6o03mttIbR6LVJjbQmwFsYGhcQyeGgMmApHQGUo+/4DHU4cDzp4VPHPyaxMveam9adeuXZ/neYYHPS/AByung1Z9+DsbJ/Y2N9zcZ/f2ReamV135Y2pRKgVcI29qtBuSadIM1FlfpJFrgZ2zN2UgaYv/Vc7ciDSxIwX6TpaYTHMblEzdQPzczZAx892Eux/RfO6eFp/+2gQXVpuIWg2v5dHWMOG5Tp66RyY7oO6L7JBZyWmmu31BkLN3DnCd4PsJNT/C2pivPBpw/Gyd2WmBJ7M+1Nx2G2O7ovw0kxSD0GP7esGrru/zyfsjerHHIBbUPIufOBYPY1tZpVThVyPkiEyxxcpZSsYk0dSDkLe/csC33bjIp77e5bP3NLj7yRYXOg0Gwmfga7Sn0ELgSYEnJZ6wmdSyKERFGo7ahxch87XBZl5+m4M7Y+z8iLOm56SwWxIwMUjD+VWfX/vIHK12iz3rU2aPHGteft1LfkecPHcFMPhrAbyu7yKgy7U7nyWKA5SKCCMPKRKUTDNmygBmMuekwuDWylG9zSjA8+4Ru0aYiNGAsgJsIUxmBxpEBnCtU3wdU6vFDMOU/afh2BnFR780wecfbnNhuQleDd32aChJy7O0tKHuWeoe1DwH7prnZhK6MlNZOUT2fZuB3BQg9z3Xnnb4jOGpowF4XrbM20qKXoygoKpL0zSrmU7dOOerd4RcuaXHvtMNBjVBIxEEsSVUZNaeydg7d1NyC7LUKoXPnlmRxqhs+oDHMPKo10N+8HUhb7p5hS8+0uNP72xw7EyNfacbRCsBSaAZao1UbqqvAnT2nDN5IV0og//xRzW+ykFtstdJRYPn3ViGLNtj0wzcSfY6df++Lxmkhr1nJfboEtvueJJvtEXKcwL84NHj4tkzvX/+1a/92qwZpFy/q8ML94RoL0V7BptAEiuEUBipsEYhjcq66GUxc9taWdhYFlFpBi673sc6zTIs2Irmc0kNJ0lMtstDShC4SapJmnJuEb70Vc3hU3XuerDO6eU6h880IQhQDU1NK5ra0tTGuQieG5xf89y4Ngfi/JDZoTKAk2nuDNxeSuA59nY3VsTRedh7rIEnR+3BQqJQ1oMXQVfupJi8p9Hjyu0DLlvX5+kjCf3EoxULQg1+4mYCqgrApRTFBgE5k8OYBZfLoLxvMlXEqUfo+bTrEd//mpCXXbPK6eVVvvKQz5GTAV98tMGZxRrpwMNITewrhJRZX63rypdkGU8oZAtjC3C1pNlWZIl7tpnjkqU0R46kAnIDsaN44adYG3PNnpgbdw7ZNn3X7I9+/0/+81/8R0fe3Z689KLh23MC/KOfvIc4Sb/ng38RNC+sbmfHXIert3d5xQ19rtwRs2nGsOuShMCmmFhmoFaFNNFGYpFFEysjkiQHe3lWbHZGCp97hLkrUkSleEFKnFqOnBQ8dUTxpQcbPH3U59mjdVbDgDAKwPNRbY9ACRoKGtpQr/jAgc7rNPKyWVcXHmSyxPcVvi+zG8CW2ttLXWbRczq/5sdYE3F+SRLaAK0lvrTois02RuAFyFM72u8YJR4Czdx0hFRDerFHXwvndMRlwZhWZiQDKXOTGiAfdkQpD/PWsnwwkpeqYvxEP/TZMBWxbX3MDZeGDKIB/+Boh6eP+XzpgRpPHa1x5ESNOFEQKKxUICSprGSDqsn8MYCPZLeK59wPHgM2WUG5TV2dbWzRImXnJTGbZ1Iu35Fw6w0hV2yDjVMBnf5Ks79w//f0hX73X4nB773ny5yfX1WfvfMJMesrlkWTJ45qnjqo+eL9NSa8lG1bY66+POY1Nw657boIF3Sm1Bs2myQlwUjSuGRxW2VtRoOjfDY42fwST1sQBiEtcWTpDx2jHzsl+ZM7Avqx4vFnaxw6GbDQ8wlTH7QPykO1Fb4U1BU0lKWmcOPMVFZ4pBxr+55wSY8quD2Jn8mSwIfAJ3NNXMrc0wbfS7KMaEy9FnFhOeVL97XodAOmJgQ68+Lzoi/xXMt3pVYnNZIwVMzOKF5785AvPjzgRKfJwJNOpmjwEosX55515rHL1NmFVGedyOJnGKsrP8MB3U8VqVYknhv7EMees1K9mKYf87KrE158RchbXjHkwEnJE3s9BpHiw19qcPScB0LSH2jSSOXlm1idL71jltEIwHMf2BRfi8QgUovNwF5vpHieQWC47fqI19w45KrLY7ZvSZjQltmmYhg2ubA0xeLyDIOFc4LaVeqOO+5MXvOaV//lAC4EbFjX+u1dm9JrFxfg2LIBbTEo5nsB88ZwdMnnvqcsH7ujxdx0grWW63fHvP3VQ9cwnMLchOG6q2OatQz0VhQ5sLXXPN/dwdLpC554UrO4KqnXJA/u9fjM12sMY8UwVpw952OEJrYeRnigNSLQaCnxlaAmLbUM2IGyBMq6GnCdeb66ZG4/78sswK2yHk1RsLfvGXw/L9BKC/b2/RilIr76mOKT97dQvnZ224j+fm4Gz73wtOhMVwyHHm+6ZcCn713lw1+ZoJfUaGY63Mt1eJwnZWzRLSSELADmfpSsaP0KwE022kE7Jve0ItEanaQO6CpFKTdIf6qWcMuehJv3xFgR8rZX9hnGLrv4F18PeGivTz0QLKwqnnjaZ7UvM5UkLnqFyySAS+M3a4brXhAzO5m6xpfU8vZXD7hud4w1MDeVMj2ZrYYCTOqmZCVZC9yhkx4n56NrX/Ti1m8Ly4//pRh8OFglqLXa+5785J6rLu2p7esHXHHFPP/pQzUSspQXbhkMreV8x3J+xX3wAycsn/lq22mr1DIxZbjp2ohW3dUErxHbYwAncx1WeoqHn/JZ7Siklm4mitWOmYR2syikBumcG08KB2ZpCaTBlw4IvgJflTP6HMhF2fCgXSNA3nhcBbdj+Kys1ssZPK0cCYGOsTbi9IJPFNYIJiR+lvZWWVXeSBZTUOpSW2Z0i+50o4hij6mWYutshC+GDJKAQSKoazcEM68hyRNaSlbLW2Xxs9zPyCWiKZMsxmQ9k6U0SpI0yxuobP+jhDhJUbHLJWiVImXCllmTrRiGK7YNiewAqQ2djuDhpzQrfYkqFMtoUD1ypa2rB2/WLC++NmZiysV0IKhnySbXQeTKPRKbV6q5v69Un/d+rs1T+1NquqfWb+3u+ZEf/Hvt1ZXuanuy9fwAF+k54v7CuxviqVfu2nySmckB204t8yt/NAU0QCiKUVFjv0JiDZ3c75OW1RXL2a82K7/ixRPwxbKRXxwhMPmWC2Q1p0KVQY6UmZWVgzpLO0uyjVtz37jyrLNOekW29R4FuF1bl8LPwO1rihJTx+AZi2uDn2VHPS8mCGJOLhj+6ItN0D6eFGWAWcgTsYbBq5m+fEioA5sbrBPFHu987YBP3T3g2fMteqlHI3Gb0roqQFt24qg8J1AJ9kQJCCeFZKXAKz9MUQujtcJL3bwULwO6kmXSzNWNZ68z10zKFC0swqbMNgzf/lIDIs1kJiDy/TMucs2rNUZGYWJNHpeZRBBeJPHn/ob7TEKlfPYRj33HFLO1PrJ17JU333L63XGc/uNvyODdCx8FhK/tM0y25/G8iAOnBcZ6DmTSq4C8AtLqtgnFa0vqVYBdmN1VjZazWw7w0eBFSFm0oCkBnnBp5UC4akEvG+DpBnnmTbWVQiJNZQ4K2c5sZVd9CXBZyJbAt0VLm++byuCcBC9jb1/HSBlx/JxgfrWG0JpAMiJPZPXXqlzuqnQYAV7mdESJx0w7ZPuGAfvOhQxSzTCFIBV4qcXLBia5KWHOWSpT6GqkUyE/5W7Sbt7NLirSyKBTQ6okSufbl6usWC1FKpOtFKa0ZjOQi/xnY4q9lXLXq4inRHn9q179+LvVmTbl69EbRGbWtJQpV21Z5dCROguhz0MHTvBrH7jdN2ZtvmcNwH/vk0dBCDoLfZIYrKjxiXvbpDRA+Q7gBQjXkHiFop5PjlQeQrhlNf/nhEBSpojdVCrwhMUTGWgzCZC/Lt7LyL4sBaVosPWVcGAfAbd0z34O9Dz4zMCdd/9oU0gUTzt96vsxCTGfvbfO+fk63oTCr9ZwVB2U0Vu6ZNaKPq4mfYahm2D7hpf0uPfJIatJjb7W1BNDlKXTlSwLovKCMyEMZedQHmiWfbLOOsxmqlhcg4oRaCNIlEBnFaE6q8RMMqCXyTRTJNikNJXEW/ZaluDOrd2LFWitgbwd/+5FYIJFSIUxCt8T/NwPdLn+sogEiRR1GvUVwPLB5wP4r/7+7Uy16y/9jQ/de+PeZ8AksTuDflZfKbLEAmINvv+qj0KQ5MkCASp/FhYNhdWmspSxm29SalyVA1u6/eTzUQhVYBdzUBSuH/FiAM8Dzlx361yW2Exvj9aS+16M70Wc6xgePVQH7aMzeaIrBUp5tk+MIdy5SZWqu6KVTxaeeBx7XL8rZGZyQGe5QT9RNBR4iftdVOpmy6i4CnCXeCsrHORYpabISlazUgrl6vc9I1wVqDKkSpBkIK8Wr+XlEDIHeQXUecmEm2BWsXorE7NKifY8kuV5wCKERRhLKlKSVLNtXcJPvj1BiBhrDEbJG0X7jS/9R+949T3+9PdeHOBRAp1e/O1NX1wnapqaVyvutByIKq/gG/nQfwVgZwolEyPF7mp5VqwEhy0YfLyEU+e1EVkNeF7q6ZqL804VJ0tU0b1SAjtvvnXsnWluTaG3c0vQMXYJbq+oTowRxNz+9YB7n24hA40vhZu/XVQQlm10JRmMZzNFUW1pikYRRWoUg6HHzVcNeOPLurz39hZRGtBLJbXUEmaz1XV1xRAmk3Nm7IZ6LiYHo2XW8S4KcKdKopRxjC5lNloi3/HOVABeAbYcLaMoZUp2O4vy4v+1SHEkL6KRuGYQ0XMn0pgEv+ld1wyib8fYe6p/tQD4/kOnmJ5svva9f/Ll7+suLrCp6faFdoUxxVjG0bLVv8pnrL6uMFvxwSnBUKSAc5BXRhvkzO22IMm/JmNwijasERbPumE8NQpuN05hjLmznk0/a2/zdN5wkFSOmIiYP/1Km9QGqCJ7WQ0wy77G3NkY0eCMtetlDSJutp8iTTUCj7ff1udDnw1ZMTGDtMYgFXgJBYtLaZGJKIrOnF04rkVlxZoUo5V8OptZojKQa4syTq64CWSugtFlj2VRmlxalNXqzrKMOd9JY40Ofz4mfy7sVGIY8iA2i+Vs1iQhwh7Gi75vZuub7hp0T36x3to6CvAkiRmG0a407O3UcYe5pk+SpiSm2pSwFqx/WXRXw4ai3DJn8ozFR5uHR1+Pa84c9NXZHkqJUotnFXcjw24yYGslSielsANdx71rTLYZc5cBpq6wd+BFPHpIcvBMDas8lJT40qDH6zQqAnyN6ZQdRadTpaQ4d1TixGPnppgrL+1x/4E6sfIZJIKaBC+16ERk8i3rwkkyHY50cmHkR4oKi4uKNMpbxnJ3xdW75OP1VCb9SnDntUA2KxPImZxi9cjBXZRYjDM5eVLvr//IV7+8ByEcpohGvHMiDnclcfLF/M8VAF9eXiaOhkg7YKYFBjeXIkltUa/7XJ023/gOzJ0TO6K987uzqsOry7oqar5L262ULMJ1z4sS3C7IFEW3uC7ALUcAXh3+47rtKYBdZCsL5k7xtUvsuK6gGEvMn32lweJiHRFo57tXb8LxGpTKjT7Su2hGWXXEmzaKONbMTku+61VdHj3UJkxr9JVPPXVaPC9nVZIM3PlaYTJPPC/MBZAjZcnFYKaxqVTukCiTr0i2eO2ALEe0eD5RwYFarmHwsn58tDK0wMNfkS3zjq9qCUIYK3p9i+6kTHSWSeJh8ecLgP/FX9yOUpL5hRWm2x790N2BsSgHXubzt59vdNoIsBldkkbkzRqZUt754yApJy+VTbHVmYMFwAsWz+WKROlRgPs6GwDk5VsHZhlObfGKVLzJXqcjh1auc+fZ4/CxO1qE0kdJlWUvR2/E8Qzm+HWslpSO6vBMi6eKJNUEqea7XjPkA5/v8+SROrHy6EuJn5rMPRLI1FbOj3XtZaJi22Ygt2P7FlWZPDWgCwvRTfxVWUmASm05rDObSCvyRmUByZgeL/XyKMCL2Ydj7P2XAXm1T7fqPsWJZBhpVgeKxf3HOHpsCWtLiabdXzoBbG188fb37HjksSWWVwSDyFltYJGVk5JfnLJ++3kAXibvLtLuZEclylhgNipRRAGc8XHIssLYeZCZT23SOt/kNdPeagzcefreyxuTjZsZUrSI5T2dSXbEKC/i4GlNN/JB6Uye2LHy2PEbdxThowONxrzwrBunTPxomp5gz+YhTx6MSE3AwPjUUlezrTMNroTbyNUllnIyMVDU/OQXvVrh6ephdDHY1L2nDKTSAV5lu1NIU04IyKdrpXl3f2EAlMFlEXiOXe9xgJf6/PlQnuntMZCnmUSx1g3PP3gqpjE1ueNn/p8faVx6/T/o3/yC9Q7gR46cwvOWXjM75/2UH5ylHzcIY1XM+pZZ7cA483yDxPuau3N8xobA5XOqQCiBLUYYXBZBZnWoZg5yyhppVQG1Gt3F2FNkXrgDtwNwORTIq8qTKnurrK/Tj1jqGv5/f95icVBDBJ6TJ9KOrCrl4JxvcNlyuZKNI7ZVNyVL3SeJpt3Q/MR3dvnyo20WQ59IagZS4mdp7XLkQ8bg1Xp6YcjLaC0mA7cpKj1LZ0VkDG6LID0Hu5IiY3AnidLCRaGQKaUOL9sJSy2egbr6+jkw8lzwruYKy2YZpwsCz9JqDLnQWea6y674qaf3PX0PSf9TBYN/+DPPUg98ntx3ggcetzSVpKFLuZBfjIv9wOd9iLW/hKi8L8bYLgeGm5NXAXtFmuQdMgWwpUCqcvyYqoBaS4nOJIkuAJ5rblMElZ42Bbg9nddfjLK3p2J8P+KjX/F45nAdpIeUkkCWxUBSjGrw/Jd8zmpCSjYvdqqoyJTEyGyTJ4+rd/Z588tW+cDnaxgdMJA+gRRF0kdJQTwS0I0yuagyeaV0uVoTYxQo61YFY4UDdz4lzEBazE8RJcArzw7cIstojrtjoy7K+Nd/mUepIERG6tm/rwyb10d872sXmJh5kloa4+mQAuBJ1CJVPv1em0GnweRMWe9QFIeN/6BvtKpkN8FoqjovzLdrBsqMeMZFYClKNi8Y8hsBXJYAV5Uaap3VpXgUUsRTpVviVYYDlZrbsben3dSq5Y7hL77aYqETQC1zT0QlGHsOiUK1IaDKRhez7YpBSRKT5m6KZqqt+I5X9vn0vUMWewGR0gxSmdmTInNvRNmMLYskeAFsa8uuH1OweTkNWOfOispey+xr6aYC5+e9CnIhRaX7Ph/imUmTET1e6eXMVpmLAVwIO5K2vxjAi18rv4kFeKnHVGOC6fYUjWYbk7pOe/3k0wdYNzd9yR1fefCfRqtn2b5O4HtZ8DJWy1z4uGPsXf1SjP3Zi8kSxMWGZoo1X+dMrgTF3Lyio7wy+7va4eKGuzMK7nxng5y5VYW51zB4Pm6iHDmhlctcHj0mOHC8hiFASF0055bVg9X4QVRcjfJK2rFzWGYaqyn70lExxgWbWM3l2yN2bhyyuK+OTX3H4qmTKbri4pTsWS30ygR3XkYLWaOBqASfuNntGdCrsY0y7qYxkkx759elJKMC3EZks1RyTS7GpEr1vFRxY0vAjRVbrQF45YYwxpKmHv1hm5VBhy07J/7phq03PT5/7uAxba0hDMMNnrKvDftLTLX8ETDmH2JEolRrp57jIUY+xCjAc1arprLzpMioPBEVZ0JUgs0S0I7ByUYBV33w6pFtaa2q4K6APNuv3stKQ3P2VtnXWscoFfPZ+1scXKiDX8oTr2JdrpVcYyfiIoxUjjkrm7LL0XelFo8izaWzEW+4uc9DzzbAeCSp0+JemmV301GpVDJnacvlgacbqybKYDN/LbPXMltVZH64c59mK4YUGaubfIW1FaKylZu8mt8owV3ioipVnp+5R4u0cpxVppyhWVjuMrOF1yZxuCFJzTGdW3CehnbDuQ2m2nxR+SG59s7DzefU4hVJkn9ZsvdaUOdfjwdoOaDFRYBdsLkSlSbcCriz+YTlth2sBbYuBwQVI960yUCeOHmiYuqNiPv3Kz711SaDoQ8NjZYCT4xKk/HPX/1dL3rhGNPfY5Zh1RePE81ES/OWW4d8/t4+D+73sU2PQRrgC4obTRU/v9TBo16WA3k1ae6Cz+wGU47NU+n0uKmwdh7Umyy4lEZU9LeoBLqleZC/hizxxWjwSUWqjtJm5R07er5ysNvx71sYDjVRJN34t0Sg0zQhiWOksDRqEqVkMcB+7Zy5ylYTeb3x8zH4ReXJKKhHmHvsdSFFRAlqqSq7NyiR1aaU4C5BnpfNWrQuRyjrbBMmrUaB7hVs7Q6lXIDp+xFxlPL5+xo8e6IBnoeQKgNVNjekElwKOcria37/nCRy1iQ7p5VMpgO5LLR4bhdGkeaKbQmve0mPJ47VCROfVHoMjMJPGfssuRfOGIOLkpwqnwWV32wGowQqn34gBTZz0nI9XqyoEqSpzDI05apRjH0TIMzY6n0RwhvNho2ywLhzV51hORLHGBgOJcPQEEUxUZSgP/mpz6KUotfrUq95CCHHpvOXSZ7irrkImxdPlU9bdU7GM5cjzF1l7TywHAkwyx0ISmlSsQoLxs4BXk5OLSRKxtyOsW3B1Lp4Ll97WXCpVUzgRzx9XPDFexv0Bz40PaTIKwep2IMXyWJWfs/qxctrUdwJFIwOkh9L+FQKsKLYo9WKeN0tIZ++e8gTRwLQPkMj8TMtrozbZLeUCSBSXGAnhCsuqtZZqxIoWlFKF+nYPF9V8iDfWAd2acpEmzBVNyW7lqZk9tHYyv38NQAfWfl5DpyN19FXBx25Xy0xmgP7H+fs6UOkaYrudJYQQmDSlHrgOitSU+6rkpqsIKgymJ6sAKvU5WvX4OqHLrYZqcoTRn9xUZUjRVA5zuBOb1ezmUplFYZZRaFr58pe6+p88DFwZ4eXT6HNCvy1StyhYzwvJrEpt99T52tP16GmQbqGZq9SwjtSGls9ql9c5DEyUztfdvPxwpmjUo7Cc0APhx6vuLrPG17a55njNZLEwwrFQGi8lOIzibRk8fIjXJzJq0PslcrAI7O578pJF2lEocNHtomsBpkZg5fsPXaNKwHnmlXtOSoNbUUpjA7xdKDO9+M02TaFxkiWl7sM+kOMseiNcz5CSOIoptdPsxkaljgxpKlFphYjK/uo5FLleSRK1UmpFhqNSJMc4JW2rurOAiPAHpEq1TR95ch2LCiBXjl0uQlqDmivAurcOXGOiXtWKsb3Yh4/JvnYV1qAa/YQQhVdRCpLW1ezrgVrV1eyIhqpeKv5RaPK3BUNboUbP62y0Q/FPvEaazVvv23Al+4b8vBhN0kgNop+KrKCrwx0acba1TKJ6tqf1aWjGAW6I/bsJrQYme3nk4Mr194yY3PhnosVN5ckxai9/IYfbd8rS2pLEnxOIsgJoLBU8+GlrgHZbQ8OcWwYxu6aW2vRsxNueQ1Dd6Gi2A19FAJiYUGYUkNZsMaOCPyczfOPfDHtTQboog5cMLZ0VYCdHaLieecAL+bkVUGetaaVm03ZDOz5APwS3COsXXnOG2tzqaJUguclxGnCXQ/WeepQHTwPpAsufWErk2OrgdXoJk6j5D0KLVt5UTRAjNVZFMFm6qb1ulJaTRh5XLVzyCtuciw+SB2Lh8JnaECnogz80twudJnEUqK4D+CciZLJC0BJsMoirUBZXPbTCoQVWAHSilKqVJyvEe0tcvlSAfwIe4+y+XMCfGy1KzeezUCdkG28ZRiGCWLo6tgtFt2oG6R0OzSkqRu6LkTujRqwkjQrvRTWYoXMToQt0vdUZ5wUS427vCMp6zXSZNQxGd0jZqz+RFDsvVPsXpw33440PJRblyg1Bu7KUPzCPVEpSlcAnkkUX8ccPCv44OdbhLEHDS+TJxStaaq6S3DVORmxi0awPXLVqkAfGXNWGVZq7MW0uKYZSH7gdX1u/1qT/afdzZcaRT9VrsowzZI/OGYSaTaWY2wlsZUoKr+ceWmGtU4SWuuCSSvdNbJSOIAbUcZKOZOb0hEblaAUk7CqpdJrAT6uCcSac5RXP+ZzxKPEEkZptvVigtIa7WUM/oIXvXX94vmD/+7UsfuZahu6fbJdB4QrpJe2OC2iGhDlV25NlkeMgLm4W6ssPuKWiNGvC5CXbD1eZCUrtR+qYO8KsGUeXI6CO5/tV+rt7LU0pfbOgsvIJnziK00eP1h37T5Co4TLXOqsBrvaXFyVKVQu6vM+RjR4aRXazEWx2bzHkQlYRmKMJhp6XH/ZgO+8rcdv/rHPwGgwmlhIBsbFCNJkGjzNZUK2DBewEYWDkge8WPd7WeWutbJgM+/b2hL8ObilzcjIjq5iuWSpSjczTnbVVa54/xu4KBWJUpT4ppYoNvQGKd2+RcqQ133bC//dddfu+THdkHsn9eS519e3nCM1NU6db9LpB9n+4dkdLYQrJ65ckMoqNwbwqjxZC3BxMVAXGjxb6qrAGakDtyPauwB6RZKoivZWxU4PlY2olB2TJHmlYFqA29MxB85IPvLlBm7+imPvonM///mCkfHCZQveaKApql9UcgwjutdUa0PKuYI2m9CbGpnNCVGkKtPiqea7X9Xnk3c12HvKAxlhhWSYemiyepH8XKfZhUrzxE/O3xXplMVWFteSmH82mV1zaUFaJ1tyEEvrfoY1mT/uFn3MGveEixbXjYL7OePxEfmUE0FWT+a8eQvzK5YTi5LOIGH9js7rl8Njk/prz6wyv7DKE08tI0UDT2ravgfW7XNZYDfLiNnqHWZhfAJbJbYqGLsYDglrZUlVx8rR1yMsLmwluKy8LhjbFiyuxsDtJrKa7NnZgUoZVO53qwQlE1TG4KlK+Mw9TfYeLLW3FNJ530UHzVqGqmYwR1YtRi/caEnFaAPyiCdemUiljXC1KbJM4Uex5opdIW96aY/DHwmIUgVCkwrNQAh0Stk/SylRyua5/BOICoicNFE2Y3ScNCnYPD+ELVP8Aox0wDeitBCrUrRgb8Ma6TISr10ES2tKQ3J2EE6eCiFYP6O4bPsyqr5MLwrZsW09k22L/vozE5w8HXHn3RuZaml2zkp2bY5pNxRai5E6AkSph0apevQCrmHuizD5aDAyXjlYfS5ZO/86Z+0c7DlzF0BXVSYvdbfKg0hZkSayHJqvVIrnxRw5q/gfn2gzlB75BK2yaz5bQao10FVJUjX/n+dR7keUM7ejy+os9TLQlEWteA7u1GiS1CNIE/7xW3v8+V0NDp/RoOJMqngMhEDl8iTT40WwOQby3Ju3gM5vuOw9aTOJkvUGSJt74maEzW32c4x0f2dkZR43FvJTVXktxs6bqH7EDHfjgkFKNz9ysinYvd1n+0afwAtpTIH2LXpzyyIm4PL1iqmWYrLh/tU8sTNu44x/iOqHyW+CtYFE+d44sMdBXmzaNMbaeSJlFNymlChylMH1iL+d6+yq/q4c0rG4pyNWI8N7P93m9IUAlM6sQZnJEzviexevuTgrje8zeVGgU5EqReNBtUczX5JlcRTNEFKRJprNcyE/+uYuv/JBn07sph5ZKwmNcrZhmn8OC6mgtA1LBJX/d99R2V1oLQVzqzyzmQeg0pYMbivXzjq9vUZ7XwTsVexUAX8xfF2M3UV2HQDmlxskiSbwmqw3k9SbLfSGSYGIBJesd/vR5HP6xmtCRoE9tuxeVEutvVtHPdGLM3cO7LK52FaCTVsElnnja+5/F0yuTcboppAmTo6YilTJGTspnrWK0UHMx28PeM+ftQmN5+SJUIU8KZqKxyyxEd1d/O5i/HJclMVLZqoG8BVHxcoso2yK7GaRwjduK/CaTvjxt/U4cNznfZ9xWhwUqZAMjevdlCkFg5cFWCVNloFcaVc6UJeSxdqMzUWphfNrJPK9TyvnxhaZzLJc1ozhoGTwtZbhCOYsYyoh+3tZvBJGguVVzWCowCpir0lr2EDPTGpM7LF+xkNKnWUFZQYauTbdfJEfPqI1s/eqQK66CheVJQVY7BrdXQaZ2Rbd1S0DVVnspJSpSJUczBUml2V1YKG7i2c3a3BpGf78yw2WwxzcDuCedNpbi1F5MrLq5HbZ+Dkaw3dVa+cgz2XfSFVfPs3AVEtpK3XiUqKMwhhNkmom/JS3vrrPJ+9psNhVIGMwihinx8erC0dvuedmcpcHKpNCeX2KyoJNMhZ3gK6wtx1dpfM0vcgCbVvFTiXjykWwdNHXmUtT3R4lTgU9AWGk8SYkoRHomu82Wmo3NELqNWn0NRerYs5X76RxLTXuC+d6Kf/eKAOWQdvI9nXVGo8isKw2GIwGlflwmhLc6UiAmQeZ+T43usLeXiPh9q/WePCpOqaivV1TQy5PRutNitYsLn4zV63wi5N4xp4Vq7C6DXa1GcJWg04rUbb0xZPUQ5uEF18d8cYX9fmjz/qgIhASKwSh0Sgh3BYkeaBZEbjjcoWKD67yHoncPsytYimQuSaXbsZL9ZraHOgVSWozmSSEyPR6dhaqzkru2+cgzrFlK5+0ci6NyLceLP+NMITh0FKrGXRvYAgjg9ZOoqxhmUod1TgrjcRUFaDLcWCvYe9K10kFMGJk9okdc08q23RXAC6VRWcjxqTMHBNpM11dkSS5YyIrEkU69yTwYg6fkHzw9hbnur4bVSfdoHclKHdsuMjqM3qIEcCPs/f4YyTRUznn45t1jWyiW6kTVzJ/dtufrG+m/OAbe9zzVMDh8xJEDCgMkqGQlU2k3DXIQS1G7sJqxWj2/yKbmV2HKpsL91oI55fncZvNZIi1uQ63jFaN2pJMrSV32xAWVzZeAbMdO5/F6pd/vtIBylca3xc06hId+G7I/EQDajVXNejG6roc//jQHyrnYhzgBbApX49q7ovbayOVeBXGHmfuNSAvZmSPv04L7V0kdPJxwMptoKUzW9D3Y8LU8LsfbfO1R+uut01qp72ldF07opy/UjQT5J+vslpdjMmr56yK9bUZzNK1KPd4r5bPVstoXbuZyR2V1JBIjUo0r7gh4sfevsov/K5PmEjXiGokSeaqSCMqn81mK3Ll6lrXkkbl87mvRSU2yLrrsySQyVjc4oAss7Yzk/duVjBix+OWCkHYsa9Lthbl561+1DwgT43Dq3HZS2tShqEhjCx6dspSk4Z4NkEqQZwIhpFkGAliXDq0sLMof+gaWSJGP/gIwEe6OsakyfOxd2X/eZeqH5Mn0hbvuW2zTUWiVI+cvdNsoGRSMLjnJ3zlYY9Pfq1BGHlQ14X2Lti7CGzXZi7H7a+qpHPHxZuORzJ0VKrmRsANVmWMbkZrxVMjkcZJlRzoSaKpNxLe+ooBd3xtwJceVs42RIKQxEIzoCQdcm+8IleszD2WSgrf8XpZlyLd11aAyn6//HPLTH5Y6ZjYitxFcTdSzuhrs775ZxnDUrbQFAtORU64+eqGOKtDCSMH9CiKWVhJUH6CXjc9oO0P0HGP1NboDTRLqx5xqkiSizglzwHotcu1u+cLMFOVJJVa5TFgC5FF5bLiWBSzCMsJS0pUtHcxCdUUrwvWzg9Vgltn4Pa9mJWe5fZ7Guw/W3PSRLiSWJFrb0FlgpRdA+5iFSpufFEB+vPoE8qLlKfIR8pnq1JlLPEzXi8upUKaFGk0cajZvSHmjS/r8eBen06UpV+N0+MRinwfCLdN2HhLW3nBLS65U9yQ0rktZTNEzuaZVCkYPKshFzZj7LKNzRauSsbYF2X0atCZ/938L1Q5wmYgt/SHhpWeoR9Ct2/YumSRgUWvm+oR11ZoinlSU2d5tcEgnGSxo7LOnlFtUgXqOLjX6Ks1YLBjLD6aLFkziqACZqlyH7wMLmUB4ArI5VhAmSdyqi6KdJ3yhpQ//Gyd93yihRXa+d4j7E2pveVFPnd1OR1fUkf03MXZe3yQ0qj+zpl8bSubydP2xmBSiZHOF1fSEKceUhl+/C19Dp3xeM8nNXFSgtwgCIVEmXyQxDhFVpcW4ewQ3CJQQEFkKf2CzbPMZqbxbXYtbQXo+U1QzkzJbqs8IZQ3TNvyBkCI7PsVpq8wbZ4wVNJtknty0bLYh84AtqwITFOihexzdnnA7XcNSYVEWkU8SEmSMiiQ4mIsPMrWRbZs7D2eC9iy+n5l9FgxGqwEdDHRVKx1TGQObjUuT0b3rFfZ3jNOg8d4fsyhc5JP3tWk1/Ogrtayd1HzXa461QRPcXOz9nWuG78Rh9tSA1TkQK7Fy7klxuT1HhWgyxzoEiOdFpdSE8cprWbCW27t8/mv1zl0NkOBG1BNKgSD6ifNwW1LsNsC1FlbHZUa8VySyErrWPEeIy7JCNClzRJAJdDJ7URbsnu1YdkKslGirqRAUpkWIN2YvpovaTYtG7euImWPQRgimztJ0jb60/ev5+kDkvd8ZBu+V2OuBVdstmxZl1CvKTwt3c4lYhTco0C3F1m27ciNUAX2KANWWDuTLPkwx2pwWU3sSFEdzJ47J2Zkuw1ZkSVSZo5JxuRaJ4Sx4Y4Hmnz5saxaUHoO4GPsnduWSohRaZVr2Yr+Lph8LMD8hjJlHOiVw5gse1jsGC2zdsKMwU2px1MhUanECEUcal59XcSrXzzg5Oc8QuN0eFYJRYImFE5uSJOFkEK45UKUu0+rYhkqHQuVed458G2uu8ldkwyYMqsdz65z6bCUQM/1exUrNmf0jKWNzRoncH63ys67UgJPCRp12LZBcsUlmplJjUljlowgAnS7sWdlqi4/f8tljb8XxwmNQNAIhNvWrSpRKuBV1SBRVkBc0dSjjF9NjJSjvkZkSWX01xrWLoBuSg1e2X1gXH+rIv2eVl4nSOk6daSfcPfDPr/6/glSq0vnRCqEkG4fIFGm5UcZvBo/XJy9/xJJzBLZOQOukSl2RK4Yyt5DawRGXESTS+eNC6NJEoPvp/z0D62y/5Tm7ockxhcZZN0vEBvFYERQ2YosuYgmL7zwLPmWf15pMwYvmTsPRHM2r5JeAfS844fK1zlOMkYvan2y7FFe5ZivkHkXV3+oOHq6zbnFOtYqdu3Z+vlNW3etqPbUbG9l8cLhwOPHJAmNuqIeuH1rtM7n+1FonWptiKo2IORzDGV5ExSzDXMWHKkjyeSHqtSSFLuH2dH3Rg5TFlQ9B7irUkWPJHRcr+WpJcGvfnCCex5ruk15ZLb3kPTQUlCXEEiyTa5Gm4vXHlkDdDEkZ3QYkcravaQaa5gWY+cqY7yyVGG0JKAam1RJpNpwsWa3BQuzMwmBtjz4pM/KQI4tNbKYIl5WHGbadwT41bv1Gy1NotyRZMR9K23G8v4WxT2Vg3acGfJZKKXsKwsAy/ObJ5sEUSJIbYML8ys/eOjQ/v06SazTXBbqgaRWkwS+xFOyGI9WZhjXptDHEzcjo8PyUs2RRtRRmVK4KKLK2muliRzT3AWLX+xQ1cAyK4XNXqd+ygc/PcGnvtrE1ty+Q0inv4WQI/2WZX/j83TMV4Of56wUGn177YUumbxk9dFu+/EOHyPtiBa31pQ1KkIhjSEVGjlIeesrBzx7xOPdv6+JgqQEuBBY4xHmwMnkCakTxpa8Ptx9ylyGqIqEycFpc9mSXXNy2VLo67I/0wpRYCH/vhSisBaLQDVbId2sIoE0biXL7UPXFC+IExiG7oZN03wjg9Q1Hdd8t01fqlxhfS1QxeZMXjYpqtqpvqYBoViuq6naDNjjgeTFEiUZsMUakFe3ysjdFJP53uWGSAWDy7TipFTBnSIrtSdfeijg/Z9rMkyzKfgitwbdJqa+sCPa+6Kp+bHA+6KW6bhUea6Cqyy4y73nNRlN7JoSWisrmU1ZcVaEcoVZMivOkobUaALP8ENv6HHfEz5fekxmNf0yv0AYqwmNa0crKqjMmEypJIBy/7sAfRXkEld0lVl7hWQpgF5e+xLo2Q1QAN1ZmNaUmtxmvQi2WA/cXHKRZNu24PR5mko8X2JwRWq61XDUalKFTTW+p8qdETQlwPOMosqbbUttfLFgswraEWBX/lwVyKJ4PQp054WbCtAvBu4xiVJsXJofCUrH9EP4pT+Y4MjpAKvL3ZJHtXe5udVFEzusBXEltiyBnOP5eQT5+Ai80YxmtfiqqsfX1qYYmVUcylEWF6lBCI2MDJdujvnZH+5w378J6A6zX8YUH5IUzbCQCWtB7oBbgjq/OVXGwjmwbQHizDqUzo607pZy1qChqB3PgV4GmLbiqDiMULmBRs6fcO1DFldpmRhBpBwBBKGr49E7L1mPUop+r8fS0gJSylIjqzFwy5LFqwHmqA24FthVH7z8M3ZUrlTckzxr6XbVzX3wCrAz0BfJm5FkTmV33mwLaq1jkhR+6+MtHttXc563zJm7dE48UR2kWdqD43boeMlv6Z7k5aHiOfl6DZOPOSdlA0SZyHBgtmurDYVj8CLozBk9lRiRHalyUsUYrr885if+fof/9tFJolQCSSZVnL5IUYQm1+IXYXIn0FGikuUUztWwVTbPW9cq7xfuiCglSMHswo58Lwe6FKIIYqXIyxvGpJsy2VgNl4U3xuDXmgT1FjZN0d/+htdRrzc4fOhZ7v7qF7D4mYCvBJIZ4IppohV5Me6elK8vwuw5S1dfV9yTEYlSfN+MMXf+Oi29cFXdbnqUubVK0LWUOx8IeN/HW3QGnvMAM88boRBCFOytxSh7Czmqw8vM20VmEI6EZaL4WowDeoy11+B9BOiWagKoZO1s8kEuSYqxyxYjnI2YSoW0xtWrJIp2zfAjb+vzyDMBd9yvoCHKXDpO5yZGMixWmxLkFqeR3UDaMsuZyxJpMjYvJEpZbFVldPmcQLcXuQlK18WZKO7fz7uK3E3vWvpU5r/3+iEvedk1vODaa+h2e2ghFVLposjH8/IAr+J0yHEQj4F37PvVqL74uvp3R/6dseBSmBGQu/S4YdQmLJlbqtIWlJnezqsEpUyQOmHfMc3/+FibQ4u+W5Iyv9s9y4K91zQTjweVjDE3FWDnYKcguos/clk7VovCmO4uqwwr8wvHPfKRIqysEMuaYlNZkUsVYRFSI2PLzumEf/xdXY6d0xw8LbC6KrAESK8AuaiA3OZMLmxmSDutrEw24UyS/bkSyOSMLiha2mxhMFSTQX8FoJsMb5VxzlJaUuEMEbD4niIINHGs0XHiqD2MXDTaqI/aeaWMuEjmsSI9hBwH9pg0kVXJMiZPxFrWHn2vwuJ5UZUwFSavFFrJUpr4QcK5juCXfr/NJ7/SwHqqTMdn0uRi7F3Wfa9NyVfBXU3qjEhuMQbyMRofYe0xsDMC9ufyxXNAVwPQvPNHFhV97nUWfKaGBIMnnavSCSU/9euK8ysCgiqTC9yMFclQZEAmbzYvk0AO3O4XttK6jSMKEAunvysypHid3+OFlL0I0CldF1PR5ybHl8kSQZXm5pyMtRIEvsLXzizRjZqi1QzOtZvyi1s2Tr52OOzieznljy3LjIJ27euq3CDbymKt7h71bCmrBbONRVUF2HIssJSymq1M17gmUjpwezohwvCZe5vc+VAjqzXJLUGZMXjO3lSaiSup+OrzOHNXtHgOYjEG5ALwF9MiY3JlzZzC3Dc22bI/Up/iyl5df2TWBCEEbnCqKZwVKSXGquw9ibCu4jDQlte8aMibXtLnQ593M3CKopvMC7Rox+Qic3qydL6TKaU2zlPpNiOHItgUboyEqjhDIvueEJVnMQr0QoM79xohbKWnszIa2pTXQAo3t1xgmZqaYBjaLwrlnUtSgfq1//obvOkNL11BiBVs/L2D3nnqgSx2RKjOGKkmaQq2zd8TdoT1lRptMas2KoxsSadGfe5qrUkeWJaBZPV1WgSWUqYVmeLmnKTS8Omv1fn/fm+Co+eCrImhTOggNUIKAgk16QbZa0G2NV9lalYliVUEoLIczF9MuRVUAnQ3fq46pN9N6pKjiZvcqRs/qgHtGgdqzJeXWY2GtEXm+GIFbiP1+8Yy3U65YlfCyQuKgye0S/gUd2P+2lmKJrtTRSnAyiWqcoeXnnnG1JkrYzNaHvf+R/z/kfeqm0yNEYCpFKCZ3At3N1EUxezauYOpqYl/te/AoQdefdvL3R49SkRIwFMxjVpKLZBUd8XK9WD+MfITJimZu2Twaip+XLJUd+SyY4FmRY9XrUGRBZFVmSLTwkWRsuzOyWtOPC/l6ILkfZ9osv9wAC1VSBKX2NFr2XscNPnrKnNXD5njYTz7N8bcI1+XLspFg0sEbhh9hd0rLoosqhBH0/dSuKmqTpa4AFQUzC4zd8dJFWEtqdHEoeXynTE/9NYuDz3lc2y+slQVQSdYo0mkKJIt2TQ/t7IUIM8kC85KtNk5BAdCKdz7OWNfVHub6nuVbp8xSbhmQcyLHaUlTQy9QUyvHzEMIyDbhGrL9j1or07gRZjhfqSMXQ2BLWcxl9ZV5YeJfBetUoOvDTJHgV2AmKqTYtaCW5Ss7r7OC6icNHFfZ9JEZEfG3ktdwW9+qM1dj9XKKsE8Y5mDWzrpWa05qfZYKlFlwbW24Brgj5PbyIuLP6rBZZXCRlirAnJbAMiWMkVUwF/JdLql3SKMzV6rTMNKBAojDGnf8MrrQv7ZO1f5j38wyfIgB3ZGtyYHvCbJ7lhbRZp0q4GVIrMFqzJFVFyTiqsiMkdE2OK9Ue1dIZBqA0R+Pu0oo1cnsGEVW7du5YXXX02318/vUZiY3MCmLXvu8MWZX52bEbQaIY1aTD1ICDw3XlhljbwjY9LGmn6L96Qtmg0KGaKqMqP8ukziVBM2tpAhsvgzlYxlxfPOQS6zepOhsPzuJ5r8/sdbdGMvG32UHw7cQrgxw3m3Tu6aqCpwWZu9HGHqHMzVQLLojvlL4XuEiUZb1sZ88eqfGUn4jO2vY8s2t7KXU1ba21znj7HlHpwtDT/2ti4//tYudZOAScEk7rBx9pyANSQGQgtDA5EVxAbi7Dk1kBjh5nWn+Zbg2ddrtgonG2SUTYjN37OV12l19iDFJNn8348TCGMYxNALBZ2+JbR19h1Z/NVrrr78jq1bNpYAn5rZxKGH/k3fF6ePthqGdjNkoulAHvjZqDM5CmKZD7asaOMSqPaiwB5hZFmZXTJWGViCeVSOKJkiKsFlAe7MFrTa8Oxhnz+5o8FqrCuWYNmpg5AIsoxlcZT+fN4md9FMZVXHjj1X319bkvL8UC/b1Sp6tLAIR/eyLCQKoiJfqmAe/bra15kaVQG5whpFEita2vKO1/S44rIQmeaATh3YbQ72FKwlNRAZCA1ExoE7yZ5TC4kV7qgMp0+qwK2A3YwBPc30dVrcMKM3RXXgZpJCmAj6oWBlIFgeCELjse/48tHXv/OX+tu2bi4lCsD6S9+O1A1Wzn6B7sKX8bRPGNcwvQZpKjC5yV8szeUeiOOypHRPxrR57pPnEqSiu117W1WelNJEVVhc5n53xUmRMkF5KU8e8fmJX53iqYMB1pOlLCkYXFZswbLmZHynhotZgxeTKeP9lpX9w9bKlb8MjZcqpcLY43ahS3DI3KnIhvHkksXZag7c0lZsw7xB1zp/XAhFirMqRGS5dlfMb//UCj/2nwRPHcqCE1n5MMWu4IoUSWhKKWKE23bSGme1InJ7Lx8SVPZp5iUIsiJbhCjtwMJVsWPn2pY2Y16uECWwOJT0U0McR9x2625+8DtfwWp3wBc+/LOjAPcbkwS1Jo8/pfiDjxo2zaW87RUhggapKSPhvDpwRGfL8r2q5l4D7Mz2q/65UV+8CmyLqPjdVXCX0sUxt/YMXSv5nU80ePyZgHSEuXPt7aaCFIGlqGYoq7UxFCbC+NzBNWMhxkDP2OtvhHA7Buwqwm21T3Pk/Sqzj9WMWzfO2FiBMAKTrVYm1+PY7D2ZXSOFMJYUgxaW668M+Udv6fHT/82jmwjwqsAefW0ykBsBfuGROw/cYF3AmbkhMst6mnyOoSybj23l/NoK0E1WsCcpwS0r51xmdeleEPHDrzrPVL1Pe+5GZmemaTT84rwWAD+32GBmsnno3qe3HL77iT07o3jIRGC4+hK/sKEu7nZQsvDFWFuUrD3C8gWwKgFmEWzmLJ6Wz4VcyV/n4E7oG8H7PtnkY3c2CZUuAS2qWUtn0Xmi3HIvZ5jxrOVzVgpWg52RwFIU4F6L7G8kT8bZu1KeyqgON1CMMh4J/O3FAC9KwBuJkQZhpetxtM5NcQGoQlhDaix+YvmuV/fZe1zzvk+06MW4E/YcILdI4vxzG7fK63xlyaSfygJLm7luBpBpVoZt7ch5z31wm5FJUX5bWUxcnZL7WIEneOlOyTtf4dOst9FTzcNT671DaayKc1q8+m//9de54gWvPDzdaqzT8fKtE2qVhj9B4OusXLYyk0RVNXbJvno8xa5K3S1kxfse+TPjGn5tnXfVEizALdwwn14s+IO/aPKffn+S80ue092VyVRFQZWUaOEaGfyRRoYs0MyTPGNFZSNpezm6F+T4Fiv59ivlvkKZ/52/V3yPkX9npJArzxqX1awIOT6ldTSjPOLqVG7K/L0y22or0pLR1xkOJtopL7wyYrUveOawdkmg0jar3L9FZIIF0pGbc8zPLt4r/3ze4JCvRpVFauzmFyMrpRTuEtd8wdyEZNu6Ov1hA+FdyuTs5b/VXT7+3s3bX7SWwQGadY9arfbZjXPemyf81nXTE+4H5+ngfNlWI0A2VD3tcfYelS4VKZOzdfH9qnypyBKRjjyXLJ4ia5ZPfbbBL7+3zbll7ahZasZ1d9XzLioGqwCrJlPgObzv0uceLbCqHuIbEfY3ZHNbkSJVqQLPlbonK7jCdaRnrJ0zeP6eMS7T6RgchDGZZZixeAazOLJsnEr5dz+yyuKq5MO3t6CW159kS4gDhdMO0k2yTTPGNVkG08tWIImbpZJbg3k/pcwYXRbfy6XJaCKr6rULUTTckY+Um19JQQTU2sHju7z6Z+Nk9AKo6hcf/ZM/5I2v3nNiesLeVPejG+pBSr1mCbxyL/cis1nM/6um0rO0e8bqOdOPDPIpBvSMNzS4GyW3Csu0fA5wx9xSpUiRomuGQ6c1v/K+CR7bVwO/Wt89Vm8iBV7ue2etaPne7qrC3M+156XKWHR0O5Xq1yU7i4LZs820noPBRXUlEGuzmCL7d/OE0kgfzRWgSwAAMoJJREFUaKVcufSMS2Z/LkYvZ43Y0e/lpJz5ztZYJiYM9Zrlvic9lpZlBSkj2mzsBnVZT3dchJltme3M5Zipvpd9o/p3qytG/nmVLG+IxFjCSNLp6dsfeuTob3339/yDkb+mxz/k1VesQwjJkSM9er2Qug9+5oXrav9jXp8tzEgfYO6IVNl6LZOPf106J/lrF2DmwWTG2HlCxzccPqP5+d+e5CuP1JzukOOOScnghfbO2Zvnd0zWuCey9MWfq5Kw6ppUmX68fqW82KO2IJRD8HNUjCZ7qrv72sL3lmPltOX3SvYujiwBJIzAIrNEUCldjFXF3iBmaHnVC4f84k90+LnfnuDIGR/y2M3Ycqm7CMgTRLHPfWpFMXY6zxsVQ/NzFhfuPBZ5h9xlkU7LG2vRNj/X1o2CFpahgCQ1KO3RmNiMsWbN51kD8O27X4uSKrqw8EmScD+1wOJ7Bl+nxe7AOXtXHY9x96TQd9IU2U6K9yvgzm8SUXFPxJg8qQLcMxyb1/z735ngY3c0iETWlXERYJPd5aN13herFByv9ai4IRV3pABw9XtjwH7OR/WbY3n6UpOOlUUUz5WS2fzrEWDn1mGW2TRZOWpuGxYZzxzsMpMprjDXCOkCTtdxiRCWxFhqOuHt39YnNfBzvzXB8QuBc1byRyFZcj1VFrEZkXnjwulzhUDbTKZUyEJWgO2swRL8yrqbwtW+2+JGz+9+i8U35v/f3pfHyXHU936rqo+5Z+/VSlrd1mHLwpIPyQc2xAfYxgSMD8IHCAkQeCYE58DgkATDCxBDHucjhBcMNibvPeMjfr6CMTY+hO/4wALLsnVax0pa7b07M91dVfmjqrqre2Yl+RCynVefz+z0Nb0z3d/69fd3o392L953wZlBxDn+7rIDANzLdaFUKlzWN7N/GcItpzFMwHNNnW0eO2fS9mppPSLVj1UJowKJS79ZqhsLSiy1YwuKAjWxAK6USoFtgw4++50Kbrq7gICyjKcy+1JBUKZ4fZxLOs3Lfsy3tHvH0pg0SWq1YFzhL3PIrMTOxIEjsQHHHe9gr6edQAbQxmwIEFBCY1c/kTQ+OdEvaOADElGkukK/96waHAZc/u0qtg16adQYLk6kuubxzFRPCS4JuFEOoRKWdei49hwbK0lSXz0RPkr6q3Q8HR5MoZ1WQBgJ5NqLmD9v3n3z5826rDY1eWAJXi4XsWPj7ePtVbahURGnREHAmAOkIvoYt0yGiZJpqpSmuJ5eB6QFHmEBXaTAbhTMWIprcBPGsWvYwee+W8FNvyggMOaOlpI7Lb2NuYpZ0sOW3rFr3uLAMMfZQDaC2EYwsd8scf9SUC5Tb8mybSe3FUxjSMzQFAGDNZKAXktv23RIhNINDMilkKpyFFEnIWAwZYw5j+CA44LTa4g48JnvtGFg2E36hrT8MRSqfbIBveLmARJmw6CEfxOwoYBtwiYiooouMQk4EnAE4Aipeg+BoBC5XLDChqv/713jf/QHZx0Y4Ob+iGj0krY2enxjqnGMKfRix2engqS0hDbSGjDGIHM+mQJ7+iW0F9OmKWZZgZsygcgl+MGtRdzwcy25SStw2x5LWIkMVg93i540K2QyBvF05SHSzh2SkuBpr+bBY7sVmJGR5GqH9XhOSXSde2NbVqzY8ZiDIwG14d5Sez2JlHHsuZASRDBdLk25bBwIXHhWDRu2uLjyR2VEAJLKnC3AHS/rd+3RkZKAQ7cKQlrRNTyc6DOYe+YQDew4Xl95SQGCLrfwzODwxCVd7aWW17clwGcuOBfjO77LZWG23LdzO4TIKJKWSU+ViBCW8JJN50skOBBLcmSoihUxSAzANbjhENz1YA7X3VVAg5rqQq2kNo0lRuKxnJ57xy32WtKQNKBt4Np8vAnOWeX/AOBOAT2tY2ZioW0ebnf/leljZJI3qcAsEykuErtzDGwNdKG9m4quqOwgUxyCEAV+DxIXnzmFx9c7+PlDBTXfqP0LWPKrTMZCkrmAuDi4dWWUk6jVZTSSXd1LhwIOT4dVMMawePFcuXO4xi+75PyDBzgA5NrPgeC167zhTYtduaXIhf63sdXEohnxrSBI+Ff29iY8HClFM+Hh6qUUSgLVUIo4wG1rc7js2xU8u8VTFhOyf95NaTO4zSMvydaRsaSezoNpX2hbmsMGf8qiMt0EOAiE25st5TK2gQNpPm5zcZPBLg23hubUhpbIlDWlFU2BlCCCwrhjQBUnF/F2B1RyLF8Q4uuXjuHTDLhjbUFzDSQ8nDINAWEBXiAmJ3buWuo6pC9GXI4ZBBEhCISKI6IaXYQDK4/onHz/O0+6rlzK4Zufa30tpwW4W5gv73vg+m83GisuGdj6XPHs1eoLJpYNEdOL+E7GCo6enbL5FhsJb4ANi57EUptwU2wKtzyQx19/V4Pbs6R0SnKzWHIT80gjrQKprESGjLUk1W8nI82RXY6ljPW7DgTmVuAmLXAuEbcFSSS4NiFm1+3Iw1jKK+uCSTww+ZpSiJQlRWQBL6meMFJbCo3SKQGh2lCBSiCUWDYvxJV/OgZKgNvuLygUGWuKUQRMvWUiEmAjzlNrvhhSmF+XAF7NNKheQwySMAjCQAnHeSfsw8Vnr9q3e9fT315zznumERX7ATgAEG8VqByG690LzofguRF8L4DnhqCMK8VSPzaFUMWDIq7ij6UO3VRf1ahglhJqAzyOR+EK5AwAA25Zq8D9m42ecuQQze+m4d2grcyC6cwcW3o3UZLptiEN6izwbe0zPu5gFU3bc9kC7AbACZAJpBTp2HGCFO+Oo/dg6njL2KlipLppES6ITEl1oQFoaAohCQUSOn5FBhzL54f48ifGICVw+9q8AiJt8cNgEjGz6nrmx0sBFaJr56RpakNMkR4XcHIglKKrVMEZa5ahs719v5d3vwDv657ZkI2xj88pHnV9xB8uVko11IM6XthJcOP9eWwdYKAUmN8X4QNn1VAuRGgrAVGkYo2F1NWczV0jiOmMrWSmzIVMQjKCf38wh8u/U8Fvt2hw08TGama1ktqJ1SSW3tCSG83cm2TAbpsDUwpkFuxNSiTJSHKSvnfWnlZAz5q61YpBalqJTABsUcAUoJMoQ2SALnSBeZGiLCSxtFj8XFDlDIpJBZWKi1OASKEmhPmuAcfR80Nc+ckxCAn8+6/y6rtR67cQ8wvjmlbNAJciAXfE0V4OUSlE+MDba5g/IwKlwNYBBzfel8fmvTlM1ilyuRxAl08O7Mt/vHvmnMbLBvis7kFB2ILHZOOtY/s2P1C8/l6JG37ZgadeyGNowkE9ULEMOZfj6tsCrFxaw5WXjGJ+X4go0I82mUGGrWTGnkvtnGWAYAR3PpzDp79VwbObs+CeRqnUiGRImwWz9U2aa7oYIMsmyQ2SSOEEyJlePPGBzVI+i/FW4G61XWb2y8zGphhx67iEi2s7uFDgjq0rQsWKJLQEiaJJbZN24g2F9m6a+n8K4fofBxxHzQvxtT9Tkvyuh3LggKYrBunaDdyKe8dfnANBiAUzG7jyE6NYuSRATxXIuUrqN4IAHzp3Ck9vdHDdPXXc9/RMvOe808Zmzpr72IZNQ83uy4MFeL7YDRB/cOOuxgV3PPl7937uW4+7tbCIyFTE9wggBSZkhIm9AbbsdpH3gW99ahhtRY4wNIqFudm29E68lkpxJRCM4J7HfPzF1yt4bpvm3LGvPGspSXssjdXEmJfSYLZLXByAkrSiJ9Pw7yzOWyP8wMP2ZGbBrp55FtWQCejtjsS62kMzVbFMhwIyTVHiYxSYWbyszYaSQgoOSSlEHCarlU/t8heBxJFzQ3zjz8fwpxHBvY/5CuREZn6JbXLJSPCIo70S4oqPjODdbw4guIdG6KJWd+KnVkdB4oxjOI5fNIzfDp4c5kuTF3R2VAbzxcJ+r+3+OTjNYe2TW9HVftQOv+xsKrfvXRKOTcJnNJXSz4VExDyIGsXjvwnx5PMTOP3YACTUR5gfqylKYjERmmIpcN/1SA6X/o8KNmz1dEZJK3DbkltTE1j2UivG2+4lHwM+C2oL0LaTJ5beKVqSBnsWzMR8TmomhTSVaQXseIFkthsQW4poGvD7saykKAyJlUelvNqglimFU5gKPbFlxYAQCeCJbhto2nYLDoQSi+eE+J9/NYpPfb2Cux/JgVMK5aQ3F0LPQEKarwKXWHVEgOOPjCCEj4mpPILQBzcMwBwpBZhbxsnHrdzkV+fv4OFzKOaW7hfgFAcYhDD8/Be/2lpiwUcvPO0IdLsRenyJbl+ix5fo9SW6fIKC5wEsh2KOoK0sVUUkuxyoAbexdxtwe4BwKO5+TIN7mwvpkgwtoS3eE2QacMelH4C4pEWrmGkD+FYx0TaIs+765KfErDvDKo0S3YT96UFu+XDSicYkFTqboiQpCZzh69qKlSihWVAn4c/TvkTSE0jGeZ7acGAaYEldVEhqEIbA4jkhvvkXY3jr8XVQLoDI5tjmZWnUQCywhicoJusUUeRhsl7AxFQB41MFTNTymKzlMDFVwMhYDiFbjYkJ9tGBTQ9uZYzhQMM50AEnHzMb4xOTKBULu6pF54H1zz735hd3TwKEwmUq9FRIIFen2FYjWDw7wLweIIw8CKntqoZjE6F6CijvAqgPbNvn4KEnPVzx/TI2bPUScCP7IoiNrkaKa88X04qlnYYWK5FIotaygVTZyrFNPBxooi8GzSlakuIpB4HqlkhvfXxLykqQ4utpa4q0uHgmbqWJtiQu/ZSFBVnQUyvuXOV6JhNJWVsoBEgksXRuiG//5Rg+/32JR57ysW2fA7jmCW7osgGm5ucOw6aBItZvn8LCGS7GJ0uYnPIVbWICrqOaotWjHrQXVj7QNeukXVFYA2H7pyf2f9rv+MqXv4z3nH/20Jy+0ngk6hf96qkt8BwH7QWgkpeoFghKPrCoP8DHfn8U83tVSQLzeEnS2hJaQn1gww4HX/5+Gd/6PyVs2+3oROFWNMRSMGkz9zYd0VRlKhUvHEv0VAy3VjxNGAtJb0/Fd1vHGBqV2M7tuO/0erxM7HYb9nGk6enQ5GgyTxsT502bkzDs/4vMZ5uPQ0y3khZ9Gd0is43oCWvH6sD6vP3UU4IgsWF3dQicdmyAGX0c619wMDRs4snNPzEB8TqGn/moixwGR3zMbMuhVmvD6EQOjcCBEBS+xyHlGLi/Gg0s/atdO7eund0/96DkxgEluBlHr5gDoO2xZUftu/noIwfetWPzDrSXGEp5ioLPUCoyLF8ksHR2O8Ym6/DcAK4TwmHGH2X4N0BzwAs7HHzxexXceFcedU4VSmPqYZkCbSlOCGyJTtHKoSMtzp2NObYlcrPZEE3H7H/ZjCwlf4k6ZsY9r0SvZRHUdu3EU5yUjEgUIUNFDKVRCmViGUlTFVhSXPN0HW2oWploKU6TWBY7YCuW3PqLq9bdekUIkAjo7eB4/zk1+C7whe+WsXGnC/hZOxEDiAfieMgzig2bc7jxboGj5uZQLjIU8wLlAoPDAszuXwRZmnfznsnFj3nu4EFf24MGOCEz8fDTG7cuP2rNp5b2r2f5aPi8ghuhUnJQKjB0tRF0VjwMDpfQXk2yd6TSqRNPpQts3O7iin8u48Zf5FGHTrXJUI/UuyngZ0UKGqmlrCYmpsSmIXJaqdbSuWOAaaQiLMCnAJ0onynaYu8mLxXiaXNgoljqQKsMD0eWphiF0YKPFES1AYetgEqLrpD0uh1xSAxdgaYnKgRAzTZtYYFSRs3nBGii0AkB0QB8R+CCM2qABK74XhmbdrkqntxMVkIA6sClFO2exIyiwMgIwVafo7NKUS4yTNUAkA609c67dfnCEz41H89vI2TpQV/XAyqZ9ljzpoXY9vwz2y58x+p1J67sR1c7Q0fVQWeVoK2suJIAwAXV1ZVgOXYEqA9s2ePg898r44af51GXmku0Anf2leLiOr6YoKXFxAZlrFACzRL4IEAPoKUET4h4s0S3P3Mgcd4iDCMBvN6XNbiZoKtYclufSbntBTKTI1NEyJLIsWIraMLDAWu/AXhSYAgpjk4zy4CMJPJS4KIzp3DFJWOY2xOq0lixW14NU5+dECDkEmMTEYZGI+wb4di+h2OkPht+5aR1v1238SWBG3gJEtyMBfP60NM788qRfS8u8OjExUF9DOWiRKUQIe9zuI6qOpVk7KiM+AgSj/7ax/duLOL6XxQQmNYJsGmJRQbjF22JQhOU2aqWt51AnOWjsaRvBWKby1rbbO6S/VxqiTTjeX/4zuqVtulPM5X4gCT+xCiUiakQKQCbzyUZMLHbPgP0RKpD28ERu+7jyEMqLbu4kthGcpuyFFIbQyWhaQuJlOBSwmMSF59eAzjwTzeW8ORzOdWYljqAFBBSIpJAEBHUAoGJGkBJhCji6OpsQ7k6+7p5C9905Y4dO14qXF+aBAeA3hn9eOyRX472z5nzx4VCbm2pCFSKIcqFEIVcgJwbwnUiOI7uTemEaCDC1Xfk8a5Pd+K6X5QQUMdKM2ul6dCMuDTcO5adacmNNJdOz4Vp4k6yihmAVFa8kc4ZyW4jN01RLBLfEtrp9ZZFf6yVlNTOeiwt6R3HjYNkAGyoSwvpnTreToZAIpVTlpSstDcmYOtYZD9HIUEhJQOPKBwOXHz6FG752j784bkTKJIQiEJAhAiFxGREUQtVKbbxmsTYlEAQEbiev3bW7P4//tnP7hydP2/2oQc4AJyw5gy4jjN1yqlnBjO6C6gWG6iUGigVGsjnG/C9Bny3gXyujpBEuOa2Ii7/53bsHfcRUld3WbDKGccKZAtCiyz47fQnK+QVaYUypibUAj8yVgA0z68UJ9fATVGQFE1prVROi/FWwwa0TG+Pebm9Hq82A9psVxNhP7ZyQTJSPJ3xI2UzcJu3Iwa7TV/UhDMFP5l+OYi4AyIYOksCX/n4KP7wHWMoogE06hBRgIlIYjgkGKlTVWtwQoB5JZx77tmB73tT7zzv7S8Hqi+dopgxc9Y8SCkelY3lJ04N7shXCuPI5xpgNIDrBsh5dWwZ5LhlbQFfubodI5M+4LIEKba7rgkeGbuERV8I0lnxqQZRJAFzrGhaIG4ZRBUDnTSBO8utU5QF1pxM7WvG9sHqnCnvpK1oGqtKvD/ZFlOaFg4hW4qb3ANDfUyEoeLLQlOY5qz8mJakODmQBFPp7xXTKRIroXGhH+t4zgWqeY4vfngMviNw6wMcLwwCIQSGhI9anWKsxtDX7mLlqlW1RQvnP0rpy5LDrwzguXwZPJz43JyFp8rt0VN/vndwW67CI8zoDlApRXjw1wxfuKod9z1TQoP7gOcquycIUhFk0lTSaHW7m+VjSmIjo0Cm6EiynEpJI8k5SGZSZBXDVCdjMwGQPiYL4NTn0RrxNrdu2mbz7syxMQ8naSUzxbd1PDchSQYQUoBXWBNSF6Q3wBYEkhmOb6e+pZVJEA5zpeUBHlFx7yDtATX1LaNIoJQL8fcfm8RZJwW44qoIjzwdIVeqobuTwGHAEUuOqf/+uad+kznu31TLxd89wAGAuSWxe/M1V+ye6At/dNeSz+548UXvpFVjmNlNcPUtZdz3RBXw8oDvwzR8Uhfc1KA2d9AGtB2cYyMmoSdGubTt2bbte1pJ3aQ8ZkBt0WhKkq8A/X9sH7wt9dNQPkhxbf3q/e4kaakuoRVCkgRgmchASWxvpUgUTGO4oJb0tukNsWoaksQyE0v3eN0KIdDfTxLzNEvuRzKUxYVzB5FwILh6EhMiEXIXvh/gzOPqyDlDuPrWBvq6BE5cIeAW5geb9lW/+pNb1n7p8o+9a7/RggcarwjgAPBn3ysExcqMf9i+1wtGRukXxyefp/duorjvyTKQL4B6efiMqapqUOEJdU5U0qqMoNpzWWYjYuX12cNcSDRLcFv6JpVuWwMdWXBnqQpaTwqbi2c5OazFpu37wbvUc0ZKPaFiEBtJnYBQIdgCfRPlyFpMkqwfK8w8xdmNBUXZsaFjw41NPE51Tvi2FTCVvkNmLcnykibRQTrggiEMPUSRE3efYIyr9YjitGMmsXl3gE3bc5jf2yUWL5/3xbM72NcRvhhc/rFXhs9XDPDrvnohbrvjzppYtfRmD94X5lQ24id3EYD4cLw8Si5D2ZXwdDm0SAAjIcGoIBChAEJdZB1IalIbSW5nSiCxnqSyc8yy7a209resd9KkKGbzLvXWVhMktpQQW6BngP7S5bmR0MTghVjPNItaJDSleZKknUUZqkGSBJm0JxPWZErixA33TmcBIQ6/MHkMqcQVU+bDValpDqcIAwf1gKEReKg3fNW/UwM85zqQkqKYD7Fldx4/uH0Gjlhwuix09t88/Fy9dvxJH3ql8HzlAAeAY5f3Yyqc83xngV7C+CnfE3QthZtD1afo8ASKroDrKHByAcgpislA4IgFE5jZNgkhBOoNisefzaEhWGL+sG42YiBnGkZlgJkCPjCtRG6ye0+jXDbz8sxxacy3QPUBIG6B2awbiWu4sw1gm6YkIbBJH8t0WpuVid+kgGYDsDTFERnKYkyDQNp6Yr67+ZW6zEckJR5+xkOtoZx9PRWB2V0StbqP0Yk8uKCgVMJzOELPgZAEU7U6IBjOesspothx5CULF85//qn1e14NaL46AO+bcyTCiV8HTvGkq26+44nC+oEl3yj6U+jOCVR8iYIn4bmAx7TUowJHLRzBZz64D8vm1MElRz0k+O//UsFPflZCQ2qaYkkqA5V0dEqLzstoFSGYmBObQJ4BZpafmwWbc5OWAM707mk6bnp8a2GYluKw5nbMdRO3PZAFLBLlMnbKyIzkt6S4AazMSHTrKZHN4YSxhiB5t6sjRFLi2p8V8KUfVFFreOCSYfGcEH/5vgh9bXnsGS6BEgnPEfC8CHmf6aL4dbx9dRd2Tkz+5Qlnr7zq7kc38jNWL3ntABwA3NIKrHt+gK9a9cGNu4afGN+9/c6yqI+iWqDI+wR5jyDnUeRzDCuXEpy0IoeFnRU43EPBraOrUMfffHQMz2528eAzjkp7igGiFUy0kNiwJXLaSnKgmieE2OC1bTZkWome1X3TSmpmNh4A2MRaMcBO05FEYhNrO7G4OlLS28rGj+NPsgqo9dJF64l9nEwCrJBVRm3rifXlCRFgnsCj61x86QdVbB0uAE4ecPJ4ZhfFd28UOHlZDt1tLgo5gbwvkM8xBCFDFEkwpx9HLj97fHXPmo0ifJHPWb3o1YLlqwdwACjkiyDh2K3vefuxn6h44Tfv+Nk9HY3aGIp5hrxPUSw4qJQYZnZJMFrAyHgEISmKUrn0K34DC2YGeOiZPGTq+aeW7TbbCReXKa6dLZzZUno3TYxmJTQBN2miK3auZlOwVQbnrdabEd5qPVEs7cCqNL9ODhNSVyEx+2FL5rQFJJlEVsYPZCbyMOPYsXh4fGviya5yjDbtcjFWcwHHA9wcip6HGQUBRMD23RxRxFAtMZQKFI1QoFaXkB09mNd76lCp44RLp0Ynby21ta5Q9ZoA+ILZZQDA8Mjote869xSnrYQr7/nlA91Tk+MoFV1UihTtZaBc4MpUFDGEkYOQu3CiENVcgA+eU8NP7ysjMNlOGnkpakJsepKpc4LWYM9K4ZRtuxWgW9CVLAVJLDuk+X/sD9zTgNoojGaXDWC1n+iGUllaYkv19FMgFadiJkzW6mK8m5YZMa6bgmnAbjpIabNfUCe45o4ChhsO4HpgzEXBkcgxNcEmawLD45HuokYRcYK2aif65p28d8acNZ8JwujacvtLd8UfaLx8F9F+RntbFVJEP3rraSddfvTyZXs9l6LgE7SVgGqZo5iP4DkiuWmCxrENBT8JyI8XZFISQpWDaJVEnLaStKp/AtiSfHrPZTJJiCXRjSS3JkAMdINmC9gHYT+x3fNpk5xZJgnHjndq0CKxasgW64Yvx4WYLL4upG0VsU2Hdt9Ne1vyao49QWw2nKxrEURVFSqmJ1wYSUzWBcYmIoxNRJioCUQRQf/cJXsXL1t9eRDwHxWKlUMBxUMDcAAolyu47Y57rsrlCpfN6Z85VCkKdFQjtJdVYJbvRXAYT/nDCFQMVsoGohGXjhxMu+iz9vBWPB1ZkLfk5WnpbdOQJkkONANd/wpbdTjQSBwo1gYgRQWa8y7T+0QWrPZnLF4NmQF7JgbFgFvY2+LczBYvJOeUkoBzmZqwQiqzcCMkmKgDI5MCI+MRRsdDtHX2DpXLhcuefea+q0rl8qGC4aEDOABcfOE74TnRjxcumPXJ5Ut7x+f3DWPujHFUig14bhQ3pzKhtVOhxN3/4SEK0wkOlBCrcWtiObHLQyS9dgz4LO6d5d8kNYUydu5Eetu0BU2TJaEnZrSg4wc9bD9OVpo3JxVbzhckVMWW4sLm2yDN52p17jimO+mWLLPSW8f6K/e7bjYrCDxX4vRjA+Q9EffXjiQQcYJ6pJq1btlLsX5HhGK1b7za3vfJPfvqPz5uzTmHEoKHFuAAsGRuJBbNqVw3b277R7xKV2P99hG4TgDGku4Oqq8Px5SQuP/JHHhk5WKC6OSGdOPWptjvlOROqAmQBjCNEYrkIdHiWJuDZyV8tgAQsQCfIPalXSfbM9gUEqsPSFtHmo9rae+2gH7gbHpdgk9Y3ZL1ssq0152TU5n2BEIwMIfgtJUNlBgHJIeUHJEk4FL5PhocmDVzFEeumFkvdfR+pB7kr9u8M3pFbviDGYcc4MuPey9mLzqeL1xx8YP53g+Pr3txVWPbQA6cq85eqgkVh+NE+I91Lp7a6Fux4kqCO8T0tjQWFBknDttJw9OaA4EmqmK2xY5TK7AKFoBbS2/127I1T5JaKiYw6+BQHktsy8ZttreiG3GJNhjzHSyOnXBwu/034jjwVpK7lbWE6k4KNrCNvmS969IRUejgTQtDrDqqBhpFkLq3vYSqvDCzjePj715Qf9/bu95/x/N9N74wMs7/7OPvPdTwe3WtKNMNr9gNh2FXobrw6KXzF765UHavFuLZgumi5joRxqY4rr+njMEhH/B0lzTCwCjgkyRj3kn1r5RJO0CKlNNnepCTFC1JCfNWx9vSm1pSPKUmZNz2TaN5q82j4xAPa6e9rup5y7QUR9ILqol3Q5kRY9u5tqAktnRL2hPAboUCECu4U11YIkSqa7Jxt1NBQQUF5wxR6KKzjePC0yfw+LMF7AtziBwXoZDgUmD5krlTvt/3oXPflr/p9DftlPm+P/pdQO/QS3AAKLoEhBC+/Tf/b+AP3vu165ccUfxIR1fvKAC4Toh6EOAr1xTx07uq4J4PME+lMxGqS0IoYMdZPDRpARiXgbDAPW3nNKTt1gmwkzYaaesKaf58fOtJat2crxUR368cT1BsWU9a8PGs0pjh4vG7bYGBTWEs3m5PCGEpliIpDBRLbv3Oue63I2gi0QXTywycO+CBh4vOaOCzfzyEsl8DDyMIEMyZO3uUVWZ85Lz3r7v+mmvF7wzcwEHWRXm1xo9+/FN84oOfwUR9wTrq9uwsVnpOLfs7C9ffO4V//EkvxkRROQl0j0tGCXJUIkdVmUKXSQV2ZnUnplmFM23qSwFdS+BsX8q4d6VZjp8ISQfjuG9lzOVJzL3T72ofkN6Xsr3bFKmFpSaLfbVMkm0ZvSFNuzIx7Bndo5VlyTqzeiI0T9v4naa8xUmVYAAQksEhDMsWNbBtu8Dw6Cy85+zj9q1eNuPS/s7Sv85cVsLfXPqB3yXkfjcUxR49Cy8FAEg++GMQ1xnZXfmHWx+/v3scBG7OU9W+9PPZ0cB2dLvtuKgPtZq2ZstDmNuRUSKRrLYEViy9Le7dCpA2YGH9L1uyx///IIatXBq6EYed2NJdHxGXkYBxziS9eACbljS/iH0+QuLqDck5SXxcEpMiAEmhQmEpIm6un9AcX5dzAwMXDhphDpAhPnhOBced+Oa9F51z+meDMPrx3L7q7xpqAA4DwOObybqwd2Tqh6TwbnLKmt6v7Nh5d/fOvaMYmFJXmMKNG0g5FiUx0tumKFnpRzLviWJIUoCHxcnTVhNLctvSEGlqYjobx+dNgfolINwYSgy4zDar84cp7hrHn8BUMlbrsSdT2nEltucyHR+eeEfVd5X6r8m6ITBeUwo7NhyAbhSm+DcTKtCfMQ4Jgj17SqBuJ0464cy9Z3S/9XJI8UPCDg+4gcMIcADobitgbHzqqg+/+4RoXgf9xoMP39++ffAF/NsjDghpszo1yFjBdDTI7X7ztnvb5rLZEdNjWyHMKIpJdIBVYo2kS7QZKpOyuKDZanJAKT7N/lgB1ZLcoNvofhQEQqUUJG52E1eipbiIP070OWVybnPiTMMwIUhsbQFUbXEqAMlEEn5CAMqZ6lxs6t+AALSB2x7qQMFdguOPP23YqRz36Sik17j+y083ezXGYQU4AFTKBYRheO3bTz9uaEZl18LRWudXb3vsCdclAq7mxsyAm2kervu/Ms2VAVv5SlsozD4geeSn6UbWvU+Sp0LKapIFtyX5zUnt94MZaVOJpguIpbENcinU95OWNDe16AmUb0VZY3QgllWAM2Wx0f+sqRte7MVMlE6jxxgToflflEhwRuAIAi4YGoGLiLsIvDPCIOy6rKNv9Ubq5G933d+pitdyvJTbcUjHxMivUay2e2sf2fah23656Z9uu/tpsn24Qas+QdkVyHuA70i4jkrOdxjAtEIIaLcwl4i4TqqQafAqiU9iyc8oQFmyTilR/RfNdktKG2XTLqyZBjbJ0B4kns7M08Ccs7UpMn2O9PnSEzJRkGViSWJa2dbCQPkYJBhL3h1rPS7OpCeCCYIKuZLMRALEfI4JeI6A63L4LkfOC5H3A+T8OqaCNpGrrpZT9KhLnhs85uqu/I7gzce9OvHcr3QcdgluRqltBR578rmgq6P/2reswr1b94xeyDbt/fvBnXvg+AwOBVxHmchdRrQ0V4ABFLilJAgjGfcxMonDjKZNbmakzIEw0tkkFDWDOw3O/dsCVUpwRjwD03+GpD4MY5KObeLS0jWM+LbeiQQgiG4MZhXdnO6Cx5NDaimtcjS5oAgCBXRATxZHxuZEEOV/CCmF50YoVrpQdmf/3VDjTdf3ds58sattR9DT99oAd4vb8toYf/rln2APLbD5cuLvdu8a/NxvN2xjDgKU8wSuQ+AyBXa1rLoaB5HE6ITEWE0g5MoaYOzlircDjBGloDJNe2IJTtTTgKpjjESnhIAxI4EtgE/zvWOeat4zSqotwZssP9Z5s4FXsPYnNEn7AJg2k5onE5P691lSW7+SZRG/MyrAmBEOFGOTHobGXASh7jfKBDxX9ax3HfVezDVQLgHF6jxeqXZ8qe+I3V/kw1XudHzqcEOnaRx+ktRiPHr3TfjQ+RfIz//F++69+cb/7UuQExqTI45DQjAi4DgUrkOQ9ygKeYZiwUExTxGKENsGCWphYu6KgWVJY+PmjykJVeA14GaMWDXC9b64Pjix6oBr1dLWJi3vpE3OW3P55NjUpMl4LG0vZWoQI9kTK07cIdimM7FVSCaTXoPddQQ8jyPvh3DdEC/ucTCwz0etQcG5+hGUqvNGkUQkHOQKbZi78IRG/5Lzv9bWe9rffvh9fyLb+z9yuGHTcrwmJbgZA4PjKDohAkG/suH5TSfe+G+308mp+onbduxz2ssu2souyiUHlSJBV5Vjzqyd+Nw1HrbsrKAjp3JBc47N3YlKfqZqmWll1UkBXG/X2wy4Y+WTWsQjBqLqCKwe4wnCaUp6WxOGAHZxfZqZH1IkwVSiBUUxOoVxVrH4qaRNqFqKOxbndh0lsZUU5nBdAd/l8N0IOT9EuVDD5t11XPHDXszrKKG94qBcZKiWCNpKEUq5OuB0Ra6Xf+jY1W8TvTPmPxSF9PJCMQJ12g83VKYdrxkO3mrM6IrjhC//6U234S2nnlDesWfsfwV000Us2Et9T6C9TNFV5ZjZ3cARsyOcf8oo/v5fC8g5LjwmIJiMQWJG2oVPEgDGj34DbhpTF+PtpJa0llLzfSgSm/SSh+5EpiYEBawC9hll0VhrYAGaJCDnZtJIS1nVOoWpsJvoElD/UxBVlJ5qXcSKLISVGEKpapfuuSHyuSnc/BDFb3bk4IoIXAgI4YKAoKPqY+HCDkH8hTcEov1PBna9OD53wTGHGx4HNV7TALfHRee/Aw89tXF85oLcJ/vnznth0/qnlxfdyXfx+ka0V4BSIYTLOBb1BaBSILJDSs1JmsyCiZSlFu82yzFdoUiATow5TtmfOQFkpF3VQvWm1P9KufezUX9IW03isHfo7ykAwdUy56qWn9B2PjMR7cwdAtXLzExW1RtTK41C/T5lK5fGU6S/n4mXNxYVjo07PQScYKIuMTgSoVYLMHfuEvT2ddw8f8mSdR29Pd/ijca4k192uOFw0ON1A3AAOPGYhQAwOLBrx9+uWbF47r696zE+1P6uod3rQDAGoIGf3F1ESBw4Fq+NPY+WCS9rcour0FKAUqoVzISuMIu7U5JQiZArIAopwbkEF1pWEoAZ948JaZPWd8pQDKIlPCc6X0ACEReIogzAKQETBJQBTCZeVa5/j9C8XAi1LCjiACqhcy3jbBwk5kEJB+8/cxL3P93ARI1gRkcZJ5ywHCtXLrn52GOWXjo6Nrm1k776OZOHeryuAG7GjL5ZaNQHt5bLSz49UvGu7exZ9Klo8ulTB/b9Ek9vclH1KAqOjJU42w0fB1mZACvDtbV0NCCiLOHfjAKOYywvie1ZCoBGBGEERJFEEHJwkVYgY0pgSgxbE8twZ+OZJZCakhDUGhKNQCCMuJbURNm5KYGkBEwHgsaT1QIyFRKCaEDr7sbCJDPo4pzG+yMlQSN0MTFVxKIZdRy9kGD18tU488TF9/uFwreOWrrw12NT4db+/tcfuIHXKcABwM91AcALUsoXAKwb3D7Rt2V80fff+ZYti55+Yh0bnwoxFVB4TEk4RtLAjmlIxmSXOIYScLu6Xr/jKE+qMrepx3teEDQCiYkpjnrAQYgyRTqO5tuQoFTHgWh7uA1wRyuAyjur7NKuQzE0qpJ0uRD6WALmEDCm2jdKqP7blCgAm5gooakZEQCPn1QSVABUJFk6Emo7oxwTkwwj452Ys2AN/+4Xlr3w5G/zH3vbmSfvArDh5fQbei2N1y3AzdA3YMN9TwxvID5/25knd8z68PnH3XDnfb+sXHv77mKjPo5yTjmGTESiQ0lCN1haetsKp5HYTmx3V2D0XAnfFcj5AoVciMHxCL/e4qC7DPiehO8S+DDWEwlmqkbFX9pIeTVRPAfwPQHfE8h7HJ1tU3hhgGDrHg9FH8h5RP1fQeC60H58CtUOnYHShNbEOZk6bsHoGnEUICWgEQUXAKMR8oUcNg0tmly+4m1j1Wr9gv6u3h0rlrGtr3dgm/G6B7gZp61qh5RiK9D5IsTYUVzKNUcvx7889tSGaPvmDR1DQ/vKFAKOYygGTRw8mVDEWLozS3JrcPuuhO9xFHIC1WKA7o5xPL2tjuf3doISF20FhTI1QRT1kJYB23BmQ2McJuG6EjmPo5jnqJYamDdzLyZFHluHOtFXBqoFibxvTqCCTNQ5KCgRYJRC0ETplAC4UE8NSgg4kRBC0RWHEQjpgLhd4939/UPVzqXO8g7no/nKgoer3aXRkEN4zhsD3MAbCOCAuuEAxJatO4Zn9sy6U5LxxZ//xxsav7n7yr+69eePfGDHtk1h0Q+WTtWC3NDwBFyHwXOZUugioaWggqCJO3cdE+AlY0+e7wrk/QjFQoByYQouCzAZAKN1At8RcLS9nYukgmvzd00UTOMtzPsRSoUGirkGhKQYqgElj8BzRNqKA62UEpXTyoW6kcY+TgjQCBWgCSR8lwO0iEi69bZ2Z/2C+bPdrlknXbv1iQ//Y8eMf/Z7ezrrkOOCkENXvuFwjTcUwM2YN3cWoKI0pp57fis81/kqY+yrv3fKCtbRXvqn3fsmFj/9zKZTZDjEuioBhsYa2LitgULOAWOuAootuV0Vj2G7u10m4LsRPDcAo5Gq/xEBQaTiYrhO/2oVA2MGgbZF6/N5LofnRGBUZaXXOFCPFL2IBMC5RBR7SNVPNKEGUiqqos4RYmSCYXzKxaL+Io5Y1M5z5flr61Fhg4gmLqFsgrtuDguOv0aW2+dOHe77dSjHGxLg9lhyxFwgwVg0sGfkT1b4XvuxK4e+/OjD93pVbxPfOFBcNVRjxzYmh1CvN5D3JRzmqOAuF/BdBWoVdadDSXWNa9flutW0RCiBSBBwoTybJj7XTpzIZtmo/Ygj9lQLRiDUFpRIUBXbrT/PhbK7x3W9YxdOhIJHUCnlMGd2B7gn/mPXb/kTPX0L2DGr3xJU29v/OgqCYdd/7XodD8V4wwM8O2b0tAHAMID/BgDX/PRelHvIqSf1NM4Cn7wAorHEd0LsGdiEnBuAyDoYCVDMRWiEPqYaHgiR4JLCYRKNMMJvNrsghOlE3CTR1yh1yv1PQXTmDOcAp4kjysRnq76iqi/l0fMbKD8YIuIuGCHwXYKcTzE2GWF8KkQpR1DMu/D8HHI5H8uPWoLe7jw623PPdXe4N7zpGPrzi8/D/R2zzjrcl/ywjv9yAM+OP7zoLQBw/97BofsBPCAEXzg1MSLuu2e36O2ZNb9Y6vhsY3Ir5syo4YHH92H9xjrm9hFUCyE8p4F1mwVuXFsBKEMjkqphhRU34lAC16XwXSXNg0hoiwaFz0ncIts8ESiNEEYU7zyxhn9bO47ntviIohAFz0F/D1CTFeyrdaGvKrF86Rzs3rPvHyYnRjavXr2G9vR0UM9zNgK4s1hsO9yX9jUx/ssD3Izurg4AuNOs7949CMfx2oaHBh4a3Scxa/Z42Dd49J93znTP7G4n6O2oY2DgZ/jOLTkEshuVKgNlQEQChGEdUQRwziAlgecQVIscQkTY8GIEzinayg4cRpHzJMIwguARXFcin3cQiSKqpSI+/b4AP7yzjHNPPgmzuj3M6KTgkt910wNT3ziiF+6JJxyN2bP67q83GiNt7V2H+xK+Jsf/B/g0o7e3CwBGANwCAM9t3IVFi7Heoby3kCOi6Nexccuv8NRmhnyuAAaBsYlG+PHzVl+BYOwdnhOGeZ+hVHDQWaVoLwtwWUfoA4I7aCsxdFQZKkVl5eiowq12ere54rYrBAouhIc1y0Zw37N5rD7uaHS1eyjnQfM+dq9cgc1uYdbhvkSvi/HGMXi+BsZNt68FIaR398BAlcpAeh5FKc/QXqGoljg46njyOQLJXVSLBG0VhnIeYEygrUJJZ3fPKKTc3dt/6uH+KW+Y8Z/VqDCxfwxOkgAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QyMjozOTo0NCswMDowMNcgM10AAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMjI6Mzk6NDQrMDA6MDCmfYvhAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 46382959
    {'hecke_orbit_code': 27021597797786708, 'n': 1, 'trace_an': 1}
  • id: 46382960
    {'hecke_orbit_code': 27021597797786708, 'n': 2, 'trace_an': 0}
  • id: 46382961
    {'hecke_orbit_code': 27021597797786708, 'n': 3, 'trace_an': -1}
  • id: 46382962
    {'hecke_orbit_code': 27021597797786708, 'n': 4, 'trace_an': 0}
  • id: 46382963
    {'hecke_orbit_code': 27021597797786708, 'n': 5, 'trace_an': 0}
  • id: 46382964
    {'hecke_orbit_code': 27021597797786708, 'n': 6, 'trace_an': 0}
  • id: 46382965
    {'hecke_orbit_code': 27021597797786708, 'n': 7, 'trace_an': 4}
  • id: 46382966
    {'hecke_orbit_code': 27021597797786708, 'n': 8, 'trace_an': 0}
  • id: 46382967
    {'hecke_orbit_code': 27021597797786708, 'n': 9, 'trace_an': 1}
  • id: 46382968
    {'hecke_orbit_code': 27021597797786708, 'n': 10, 'trace_an': 0}
  • id: 46382969
    {'hecke_orbit_code': 27021597797786708, 'n': 11, 'trace_an': 3}
  • id: 46382970
    {'hecke_orbit_code': 27021597797786708, 'n': 12, 'trace_an': 0}
  • id: 46382971
    {'hecke_orbit_code': 27021597797786708, 'n': 13, 'trace_an': -2}
  • id: 46382972
    {'hecke_orbit_code': 27021597797786708, 'n': 14, 'trace_an': 0}
  • id: 46382973
    {'hecke_orbit_code': 27021597797786708, 'n': 15, 'trace_an': 0}
  • id: 46382974
    {'hecke_orbit_code': 27021597797786708, 'n': 16, 'trace_an': 0}
  • id: 46382975
    {'hecke_orbit_code': 27021597797786708, 'n': 17, 'trace_an': -3}
  • id: 46382976
    {'hecke_orbit_code': 27021597797786708, 'n': 18, 'trace_an': 0}
  • id: 46382977
    {'hecke_orbit_code': 27021597797786708, 'n': 19, 'trace_an': -3}
  • id: 46382978
    {'hecke_orbit_code': 27021597797786708, 'n': 20, 'trace_an': 0}
  • id: 46382979
    {'hecke_orbit_code': 27021597797786708, 'n': 21, 'trace_an': -4}
  • id: 46382980
    {'hecke_orbit_code': 27021597797786708, 'n': 22, 'trace_an': 0}
  • id: 46382981
    {'hecke_orbit_code': 27021597797786708, 'n': 23, 'trace_an': 3}
  • id: 46382982
    {'hecke_orbit_code': 27021597797786708, 'n': 24, 'trace_an': 0}
  • id: 46382983
    {'hecke_orbit_code': 27021597797786708, 'n': 25, 'trace_an': 0}
  • id: 46382984
    {'hecke_orbit_code': 27021597797786708, 'n': 26, 'trace_an': 0}
  • id: 46382985
    {'hecke_orbit_code': 27021597797786708, 'n': 27, 'trace_an': -1}
  • id: 46382986
    {'hecke_orbit_code': 27021597797786708, 'n': 28, 'trace_an': 0}
  • id: 46382987
    {'hecke_orbit_code': 27021597797786708, 'n': 29, 'trace_an': -7}
  • id: 46382988
    {'hecke_orbit_code': 27021597797786708, 'n': 30, 'trace_an': 0}
  • id: 46382989
    {'hecke_orbit_code': 27021597797786708, 'n': 31, 'trace_an': -1}
  • id: 46382990
    {'hecke_orbit_code': 27021597797786708, 'n': 32, 'trace_an': 0}
  • id: 46382991
    {'hecke_orbit_code': 27021597797786708, 'n': 33, 'trace_an': -3}
  • id: 46382992
    {'hecke_orbit_code': 27021597797786708, 'n': 34, 'trace_an': 0}
  • id: 46382993
    {'hecke_orbit_code': 27021597797786708, 'n': 35, 'trace_an': 0}
  • id: 46382994
    {'hecke_orbit_code': 27021597797786708, 'n': 36, 'trace_an': 0}
  • id: 46382995
    {'hecke_orbit_code': 27021597797786708, 'n': 37, 'trace_an': 10}
  • id: 46382996
    {'hecke_orbit_code': 27021597797786708, 'n': 38, 'trace_an': 0}
  • id: 46382997
    {'hecke_orbit_code': 27021597797786708, 'n': 39, 'trace_an': 2}
  • id: 46382998
    {'hecke_orbit_code': 27021597797786708, 'n': 40, 'trace_an': 0}
  • id: 46382999
    {'hecke_orbit_code': 27021597797786708, 'n': 41, 'trace_an': -2}
  • id: 46383000
    {'hecke_orbit_code': 27021597797786708, 'n': 42, 'trace_an': 0}
  • id: 46383001
    {'hecke_orbit_code': 27021597797786708, 'n': 43, 'trace_an': -10}
  • id: 46383002
    {'hecke_orbit_code': 27021597797786708, 'n': 44, 'trace_an': 0}
  • id: 46383003
    {'hecke_orbit_code': 27021597797786708, 'n': 45, 'trace_an': 0}
  • id: 46383004
    {'hecke_orbit_code': 27021597797786708, 'n': 46, 'trace_an': 0}
  • id: 46383005
    {'hecke_orbit_code': 27021597797786708, 'n': 47, 'trace_an': -10}
  • id: 46383006
    {'hecke_orbit_code': 27021597797786708, 'n': 48, 'trace_an': 0}
  • id: 46383007
    {'hecke_orbit_code': 27021597797786708, 'n': 49, 'trace_an': 9}
  • id: 46383008
    {'hecke_orbit_code': 27021597797786708, 'n': 50, 'trace_an': 0}
  • id: 46383009
    {'hecke_orbit_code': 27021597797786708, 'n': 51, 'trace_an': 3}
  • id: 46383010
    {'hecke_orbit_code': 27021597797786708, 'n': 52, 'trace_an': 0}
  • id: 46383011
    {'hecke_orbit_code': 27021597797786708, 'n': 53, 'trace_an': 1}
  • id: 46383012
    {'hecke_orbit_code': 27021597797786708, 'n': 54, 'trace_an': 0}
  • id: 46383013
    {'hecke_orbit_code': 27021597797786708, 'n': 55, 'trace_an': 0}
  • id: 46383014
    {'hecke_orbit_code': 27021597797786708, 'n': 56, 'trace_an': 0}
  • id: 46383015
    {'hecke_orbit_code': 27021597797786708, 'n': 57, 'trace_an': 3}
  • id: 46383016
    {'hecke_orbit_code': 27021597797786708, 'n': 58, 'trace_an': 0}
  • id: 46383017
    {'hecke_orbit_code': 27021597797786708, 'n': 59, 'trace_an': -10}
  • id: 46383018
    {'hecke_orbit_code': 27021597797786708, 'n': 60, 'trace_an': 0}
  • id: 46383019
    {'hecke_orbit_code': 27021597797786708, 'n': 61, 'trace_an': 6}
  • id: 46383020
    {'hecke_orbit_code': 27021597797786708, 'n': 62, 'trace_an': 0}
  • id: 46383021
    {'hecke_orbit_code': 27021597797786708, 'n': 63, 'trace_an': 4}
  • id: 46383022
    {'hecke_orbit_code': 27021597797786708, 'n': 64, 'trace_an': 0}
  • id: 46383023
    {'hecke_orbit_code': 27021597797786708, 'n': 65, 'trace_an': 0}
  • id: 46383024
    {'hecke_orbit_code': 27021597797786708, 'n': 66, 'trace_an': 0}
  • id: 46383025
    {'hecke_orbit_code': 27021597797786708, 'n': 67, 'trace_an': 5}
  • id: 46383026
    {'hecke_orbit_code': 27021597797786708, 'n': 68, 'trace_an': 0}
  • id: 46383027
    {'hecke_orbit_code': 27021597797786708, 'n': 69, 'trace_an': -3}
  • id: 46383028
    {'hecke_orbit_code': 27021597797786708, 'n': 70, 'trace_an': 0}
  • id: 46383029
    {'hecke_orbit_code': 27021597797786708, 'n': 71, 'trace_an': -6}
  • id: 46383030
    {'hecke_orbit_code': 27021597797786708, 'n': 72, 'trace_an': 0}
  • id: 46383031
    {'hecke_orbit_code': 27021597797786708, 'n': 73, 'trace_an': -14}
  • id: 46383032
    {'hecke_orbit_code': 27021597797786708, 'n': 74, 'trace_an': 0}
  • id: 46383033
    {'hecke_orbit_code': 27021597797786708, 'n': 75, 'trace_an': 0}
  • id: 46383034
    {'hecke_orbit_code': 27021597797786708, 'n': 76, 'trace_an': 0}
  • id: 46383035
    {'hecke_orbit_code': 27021597797786708, 'n': 77, 'trace_an': 12}
  • id: 46383036
    {'hecke_orbit_code': 27021597797786708, 'n': 78, 'trace_an': 0}
  • id: 46383037
    {'hecke_orbit_code': 27021597797786708, 'n': 79, 'trace_an': -16}
  • id: 46383038
    {'hecke_orbit_code': 27021597797786708, 'n': 80, 'trace_an': 0}
  • id: 46383039
    {'hecke_orbit_code': 27021597797786708, 'n': 81, 'trace_an': 1}
  • id: 46383040
    {'hecke_orbit_code': 27021597797786708, 'n': 82, 'trace_an': 0}
  • id: 46383041
    {'hecke_orbit_code': 27021597797786708, 'n': 83, 'trace_an': -9}
  • id: 46383042
    {'hecke_orbit_code': 27021597797786708, 'n': 84, 'trace_an': 0}
  • id: 46383043
    {'hecke_orbit_code': 27021597797786708, 'n': 85, 'trace_an': 0}
  • id: 46383044
    {'hecke_orbit_code': 27021597797786708, 'n': 86, 'trace_an': 0}
  • id: 46383045
    {'hecke_orbit_code': 27021597797786708, 'n': 87, 'trace_an': 7}
  • id: 46383046
    {'hecke_orbit_code': 27021597797786708, 'n': 88, 'trace_an': 0}
  • id: 46383047
    {'hecke_orbit_code': 27021597797786708, 'n': 89, 'trace_an': -17}
  • id: 46383048
    {'hecke_orbit_code': 27021597797786708, 'n': 90, 'trace_an': 0}
  • id: 46383049
    {'hecke_orbit_code': 27021597797786708, 'n': 91, 'trace_an': -8}
  • id: 46383050
    {'hecke_orbit_code': 27021597797786708, 'n': 92, 'trace_an': 0}
  • id: 46383051
    {'hecke_orbit_code': 27021597797786708, 'n': 93, 'trace_an': 1}
  • id: 46383052
    {'hecke_orbit_code': 27021597797786708, 'n': 94, 'trace_an': 0}
  • id: 46383053
    {'hecke_orbit_code': 27021597797786708, 'n': 95, 'trace_an': 0}
  • id: 46383054
    {'hecke_orbit_code': 27021597797786708, 'n': 96, 'trace_an': 0}
  • id: 46383055
    {'hecke_orbit_code': 27021597797786708, 'n': 97, 'trace_an': -13}
  • id: 46383056
    {'hecke_orbit_code': 27021597797786708, 'n': 98, 'trace_an': 0}
  • id: 46383057
    {'hecke_orbit_code': 27021597797786708, 'n': 99, 'trace_an': 3}
  • id: 46383058
    {'hecke_orbit_code': 27021597797786708, 'n': 100, 'trace_an': 0}
  • id: 46383059
    {'hecke_orbit_code': 27021597797786708, 'n': 101, 'trace_an': -6}
  • id: 46383060
    {'hecke_orbit_code': 27021597797786708, 'n': 103, 'trace_an': 3}
  • id: 46383061
    {'hecke_orbit_code': 27021597797786708, 'n': 107, 'trace_an': -4}
  • id: 46383062
    {'hecke_orbit_code': 27021597797786708, 'n': 109, 'trace_an': -18}
  • id: 46383063
    {'hecke_orbit_code': 27021597797786708, 'n': 113, 'trace_an': 14}
  • id: 46383064
    {'hecke_orbit_code': 27021597797786708, 'n': 121, 'trace_an': -2}
  • id: 46383065
    {'hecke_orbit_code': 27021597797786708, 'n': 125, 'trace_an': 0}
  • id: 46383066
    {'hecke_orbit_code': 27021597797786708, 'n': 127, 'trace_an': 0}
  • id: 46383067
    {'hecke_orbit_code': 27021597797786708, 'n': 128, 'trace_an': 0}
  • id: 46383068
    {'hecke_orbit_code': 27021597797786708, 'n': 131, 'trace_an': 12}
  • id: 46383069
    {'hecke_orbit_code': 27021597797786708, 'n': 137, 'trace_an': 21}
  • id: 46383070
    {'hecke_orbit_code': 27021597797786708, 'n': 139, 'trace_an': 22}
  • id: 46383071
    {'hecke_orbit_code': 27021597797786708, 'n': 149, 'trace_an': 18}
  • id: 46383072
    {'hecke_orbit_code': 27021597797786708, 'n': 151, 'trace_an': 4}
  • id: 46383073
    {'hecke_orbit_code': 27021597797786708, 'n': 157, 'trace_an': 15}
  • id: 46383074
    {'hecke_orbit_code': 27021597797786708, 'n': 163, 'trace_an': -3}
  • id: 46383075
    {'hecke_orbit_code': 27021597797786708, 'n': 167, 'trace_an': -8}
  • id: 46383076
    {'hecke_orbit_code': 27021597797786708, 'n': 169, 'trace_an': -9}
  • id: 46383077
    {'hecke_orbit_code': 27021597797786708, 'n': 173, 'trace_an': -2}
  • id: 46383078
    {'hecke_orbit_code': 27021597797786708, 'n': 179, 'trace_an': -12}
  • id: 46383079
    {'hecke_orbit_code': 27021597797786708, 'n': 181, 'trace_an': 6}
  • id: 46383080
    {'hecke_orbit_code': 27021597797786708, 'n': 191, 'trace_an': -20}
  • id: 46383081
    {'hecke_orbit_code': 27021597797786708, 'n': 193, 'trace_an': 13}
  • id: 46383082
    {'hecke_orbit_code': 27021597797786708, 'n': 197, 'trace_an': 22}
  • id: 46383083
    {'hecke_orbit_code': 27021597797786708, 'n': 199, 'trace_an': 18}
  • id: 46383084
    {'hecke_orbit_code': 27021597797786708, 'n': 211, 'trace_an': -11}
  • id: 46383085
    {'hecke_orbit_code': 27021597797786708, 'n': 223, 'trace_an': 10}
  • id: 46383086
    {'hecke_orbit_code': 27021597797786708, 'n': 227, 'trace_an': -12}
  • id: 46383087
    {'hecke_orbit_code': 27021597797786708, 'n': 229, 'trace_an': 2}
  • id: 46383088
    {'hecke_orbit_code': 27021597797786708, 'n': 233, 'trace_an': 4}
  • id: 46383089
    {'hecke_orbit_code': 27021597797786708, 'n': 239, 'trace_an': 27}
  • id: 46383090
    {'hecke_orbit_code': 27021597797786708, 'n': 241, 'trace_an': -8}
  • id: 46383091
    {'hecke_orbit_code': 27021597797786708, 'n': 243, 'trace_an': -1}
  • id: 46383092
    {'hecke_orbit_code': 27021597797786708, 'n': 251, 'trace_an': -15}
  • id: 46383093
    {'hecke_orbit_code': 27021597797786708, 'n': 256, 'trace_an': 0}
  • id: 46383094
    {'hecke_orbit_code': 27021597797786708, 'n': 257, 'trace_an': -28}
  • id: 46383095
    {'hecke_orbit_code': 27021597797786708, 'n': 263, 'trace_an': 28}
  • id: 46383096
    {'hecke_orbit_code': 27021597797786708, 'n': 269, 'trace_an': -18}
  • id: 46383097
    {'hecke_orbit_code': 27021597797786708, 'n': 271, 'trace_an': -16}
  • id: 46383098
    {'hecke_orbit_code': 27021597797786708, 'n': 277, 'trace_an': 28}
  • id: 46383099
    {'hecke_orbit_code': 27021597797786708, 'n': 281, 'trace_an': -30}
  • id: 46383100
    {'hecke_orbit_code': 27021597797786708, 'n': 283, 'trace_an': 5}
  • id: 46383101
    {'hecke_orbit_code': 27021597797786708, 'n': 289, 'trace_an': -8}
  • id: 46383102
    {'hecke_orbit_code': 27021597797786708, 'n': 293, 'trace_an': 6}
  • id: 46383103
    {'hecke_orbit_code': 27021597797786708, 'n': 307, 'trace_an': 28}
  • id: 46383104
    {'hecke_orbit_code': 27021597797786708, 'n': 311, 'trace_an': -6}
  • id: 46383105
    {'hecke_orbit_code': 27021597797786708, 'n': 313, 'trace_an': -4}
  • id: 46383106
    {'hecke_orbit_code': 27021597797786708, 'n': 317, 'trace_an': 2}
  • id: 46383107
    {'hecke_orbit_code': 27021597797786708, 'n': 331, 'trace_an': 30}
  • id: 46383108
    {'hecke_orbit_code': 27021597797786708, 'n': 337, 'trace_an': 10}
  • id: 46383109
    {'hecke_orbit_code': 27021597797786708, 'n': 343, 'trace_an': 8}
  • id: 46383110
    {'hecke_orbit_code': 27021597797786708, 'n': 347, 'trace_an': -4}
  • id: 46383111
    {'hecke_orbit_code': 27021597797786708, 'n': 349, 'trace_an': -7}
  • id: 46383112
    {'hecke_orbit_code': 27021597797786708, 'n': 353, 'trace_an': -31}
  • id: 46383113
    {'hecke_orbit_code': 27021597797786708, 'n': 359, 'trace_an': -6}
  • id: 46383114
    {'hecke_orbit_code': 27021597797786708, 'n': 361, 'trace_an': -10}
  • id: 46383115
    {'hecke_orbit_code': 27021597797786708, 'n': 367, 'trace_an': 12}
  • id: 46383116
    {'hecke_orbit_code': 27021597797786708, 'n': 373, 'trace_an': -21}
  • id: 46383117
    {'hecke_orbit_code': 27021597797786708, 'n': 379, 'trace_an': -4}
  • id: 46383118
    {'hecke_orbit_code': 27021597797786708, 'n': 383, 'trace_an': -15}
  • id: 46383119
    {'hecke_orbit_code': 27021597797786708, 'n': 389, 'trace_an': 10}
  • id: 46383120
    {'hecke_orbit_code': 27021597797786708, 'n': 397, 'trace_an': -3}
  • id: 46383121
    {'hecke_orbit_code': 27021597797786708, 'n': 401, 'trace_an': -5}
  • id: 46383122
    {'hecke_orbit_code': 27021597797786708, 'n': 409, 'trace_an': 0}
  • id: 46383123
    {'hecke_orbit_code': 27021597797786708, 'n': 419, 'trace_an': 12}
  • id: 46383124
    {'hecke_orbit_code': 27021597797786708, 'n': 421, 'trace_an': -6}
  • id: 46383125
    {'hecke_orbit_code': 27021597797786708, 'n': 431, 'trace_an': -12}
  • id: 46383126
    {'hecke_orbit_code': 27021597797786708, 'n': 433, 'trace_an': 26}
  • id: 46383127
    {'hecke_orbit_code': 27021597797786708, 'n': 439, 'trace_an': 0}
  • id: 46383128
    {'hecke_orbit_code': 27021597797786708, 'n': 443, 'trace_an': 0}
  • id: 46383129
    {'hecke_orbit_code': 27021597797786708, 'n': 449, 'trace_an': -41}
  • id: 46383130
    {'hecke_orbit_code': 27021597797786708, 'n': 457, 'trace_an': -10}
  • id: 46383131
    {'hecke_orbit_code': 27021597797786708, 'n': 461, 'trace_an': -27}
  • id: 46383132
    {'hecke_orbit_code': 27021597797786708, 'n': 463, 'trace_an': -18}
  • id: 46383133
    {'hecke_orbit_code': 27021597797786708, 'n': 467, 'trace_an': 22}
  • id: 46383134
    {'hecke_orbit_code': 27021597797786708, 'n': 479, 'trace_an': 6}
  • id: 46383135
    {'hecke_orbit_code': 27021597797786708, 'n': 487, 'trace_an': -2}
  • id: 46383136
    {'hecke_orbit_code': 27021597797786708, 'n': 491, 'trace_an': -15}
  • id: 46383137
    {'hecke_orbit_code': 27021597797786708, 'n': 499, 'trace_an': -28}
  • id: 46383138
    {'hecke_orbit_code': 27021597797786708, 'n': 503, 'trace_an': -32}
  • id: 46383139
    {'hecke_orbit_code': 27021597797786708, 'n': 509, 'trace_an': -29}
  • id: 46383140
    {'hecke_orbit_code': 27021597797786708, 'n': 512, 'trace_an': 0}
  • id: 46383141
    {'hecke_orbit_code': 27021597797786708, 'n': 521, 'trace_an': 30}
  • id: 46383142
    {'hecke_orbit_code': 27021597797786708, 'n': 523, 'trace_an': 24}
  • id: 46383143
    {'hecke_orbit_code': 27021597797786708, 'n': 529, 'trace_an': -14}
  • id: 46383144
    {'hecke_orbit_code': 27021597797786708, 'n': 541, 'trace_an': -3}
  • id: 46383145
    {'hecke_orbit_code': 27021597797786708, 'n': 547, 'trace_an': 33}
  • id: 46383146
    {'hecke_orbit_code': 27021597797786708, 'n': 557, 'trace_an': 3}
  • id: 46383147
    {'hecke_orbit_code': 27021597797786708, 'n': 563, 'trace_an': 4}
  • id: 46383148
    {'hecke_orbit_code': 27021597797786708, 'n': 569, 'trace_an': -17}
  • id: 46383149
    {'hecke_orbit_code': 27021597797786708, 'n': 571, 'trace_an': -16}
  • id: 46383150
    {'hecke_orbit_code': 27021597797786708, 'n': 577, 'trace_an': -42}
  • id: 46383151
    {'hecke_orbit_code': 27021597797786708, 'n': 587, 'trace_an': 15}
  • id: 46383152
    {'hecke_orbit_code': 27021597797786708, 'n': 593, 'trace_an': -30}
  • id: 46383153
    {'hecke_orbit_code': 27021597797786708, 'n': 599, 'trace_an': 30}
  • id: 46383154
    {'hecke_orbit_code': 27021597797786708, 'n': 601, 'trace_an': 44}
  • id: 46383155
    {'hecke_orbit_code': 27021597797786708, 'n': 607, 'trace_an': -1}
  • id: 46383156
    {'hecke_orbit_code': 27021597797786708, 'n': 613, 'trace_an': 34}
  • id: 46383157
    {'hecke_orbit_code': 27021597797786708, 'n': 617, 'trace_an': 2}
  • id: 46383158
    {'hecke_orbit_code': 27021597797786708, 'n': 619, 'trace_an': -8}
  • id: 46383159
    {'hecke_orbit_code': 27021597797786708, 'n': 625, 'trace_an': 0}
  • id: 46383160
    {'hecke_orbit_code': 27021597797786708, 'n': 631, 'trace_an': -14}
  • id: 46383161
    {'hecke_orbit_code': 27021597797786708, 'n': 641, 'trace_an': 37}
  • id: 46383162
    {'hecke_orbit_code': 27021597797786708, 'n': 643, 'trace_an': 44}
  • id: 46383163
    {'hecke_orbit_code': 27021597797786708, 'n': 647, 'trace_an': -31}
  • id: 46383164
    {'hecke_orbit_code': 27021597797786708, 'n': 653, 'trace_an': 8}
  • id: 46383165
    {'hecke_orbit_code': 27021597797786708, 'n': 659, 'trace_an': 6}
  • id: 46383166
    {'hecke_orbit_code': 27021597797786708, 'n': 661, 'trace_an': -45}
  • id: 46383167
    {'hecke_orbit_code': 27021597797786708, 'n': 673, 'trace_an': 16}
  • id: 46383168
    {'hecke_orbit_code': 27021597797786708, 'n': 677, 'trace_an': -22}
  • id: 46383169
    {'hecke_orbit_code': 27021597797786708, 'n': 683, 'trace_an': -30}
  • id: 46383170
    {'hecke_orbit_code': 27021597797786708, 'n': 691, 'trace_an': 5}
  • id: 46383171
    {'hecke_orbit_code': 27021597797786708, 'n': 701, 'trace_an': 6}
  • id: 46383172
    {'hecke_orbit_code': 27021597797786708, 'n': 709, 'trace_an': 22}
  • id: 46383173
    {'hecke_orbit_code': 27021597797786708, 'n': 719, 'trace_an': 8}
  • id: 46383174
    {'hecke_orbit_code': 27021597797786708, 'n': 727, 'trace_an': 44}
  • id: 46383175
    {'hecke_orbit_code': 27021597797786708, 'n': 729, 'trace_an': 1}
  • id: 46383176
    {'hecke_orbit_code': 27021597797786708, 'n': 733, 'trace_an': 11}
  • id: 46383177
    {'hecke_orbit_code': 27021597797786708, 'n': 739, 'trace_an': 44}
  • id: 46383178
    {'hecke_orbit_code': 27021597797786708, 'n': 743, 'trace_an': -33}
  • id: 46383179
    {'hecke_orbit_code': 27021597797786708, 'n': 751, 'trace_an': 7}
  • id: 46383180
    {'hecke_orbit_code': 27021597797786708, 'n': 757, 'trace_an': -36}
  • id: 46383181
    {'hecke_orbit_code': 27021597797786708, 'n': 761, 'trace_an': -50}
  • id: 46383182
    {'hecke_orbit_code': 27021597797786708, 'n': 769, 'trace_an': -3}
  • id: 46383183
    {'hecke_orbit_code': 27021597797786708, 'n': 773, 'trace_an': -49}
  • id: 46383184
    {'hecke_orbit_code': 27021597797786708, 'n': 787, 'trace_an': 8}
  • id: 46383185
    {'hecke_orbit_code': 27021597797786708, 'n': 797, 'trace_an': 34}
  • id: 46383186
    {'hecke_orbit_code': 27021597797786708, 'n': 809, 'trace_an': 49}
  • id: 46383187
    {'hecke_orbit_code': 27021597797786708, 'n': 811, 'trace_an': -4}
  • id: 46383188
    {'hecke_orbit_code': 27021597797786708, 'n': 821, 'trace_an': 9}
  • id: 46383189
    {'hecke_orbit_code': 27021597797786708, 'n': 823, 'trace_an': 24}
  • id: 46383190
    {'hecke_orbit_code': 27021597797786708, 'n': 827, 'trace_an': -51}
  • id: 46383191
    {'hecke_orbit_code': 27021597797786708, 'n': 829, 'trace_an': 44}
  • id: 46383192
    {'hecke_orbit_code': 27021597797786708, 'n': 839, 'trace_an': 0}
  • id: 46383193
    {'hecke_orbit_code': 27021597797786708, 'n': 841, 'trace_an': 20}
  • id: 46383194
    {'hecke_orbit_code': 27021597797786708, 'n': 853, 'trace_an': 6}
  • id: 46383195
    {'hecke_orbit_code': 27021597797786708, 'n': 857, 'trace_an': -40}
  • id: 46383196
    {'hecke_orbit_code': 27021597797786708, 'n': 859, 'trace_an': 4}
  • id: 46383197
    {'hecke_orbit_code': 27021597797786708, 'n': 863, 'trace_an': 0}
  • id: 46383198
    {'hecke_orbit_code': 27021597797786708, 'n': 877, 'trace_an': 30}
  • id: 46383199
    {'hecke_orbit_code': 27021597797786708, 'n': 881, 'trace_an': 18}
  • id: 46383200
    {'hecke_orbit_code': 27021597797786708, 'n': 883, 'trace_an': -24}
  • id: 46383201
    {'hecke_orbit_code': 27021597797786708, 'n': 887, 'trace_an': 22}
  • id: 46383202
    {'hecke_orbit_code': 27021597797786708, 'n': 907, 'trace_an': -7}
  • id: 46383203
    {'hecke_orbit_code': 27021597797786708, 'n': 911, 'trace_an': -9}
  • id: 46383204
    {'hecke_orbit_code': 27021597797786708, 'n': 919, 'trace_an': 15}
  • id: 46383205
    {'hecke_orbit_code': 27021597797786708, 'n': 929, 'trace_an': -15}
  • id: 46383206
    {'hecke_orbit_code': 27021597797786708, 'n': 937, 'trace_an': -39}
  • id: 46383207
    {'hecke_orbit_code': 27021597797786708, 'n': 941, 'trace_an': -29}
  • id: 46383208
    {'hecke_orbit_code': 27021597797786708, 'n': 947, 'trace_an': 29}
  • id: 46383209
    {'hecke_orbit_code': 27021597797786708, 'n': 953, 'trace_an': 38}
  • id: 46383210
    {'hecke_orbit_code': 27021597797786708, 'n': 961, 'trace_an': 1}
  • id: 46383211
    {'hecke_orbit_code': 27021597797786708, 'n': 967, 'trace_an': -32}
  • id: 46383212
    {'hecke_orbit_code': 27021597797786708, 'n': 971, 'trace_an': 18}
  • id: 46383213
    {'hecke_orbit_code': 27021597797786708, 'n': 977, 'trace_an': 24}
  • id: 46383214
    {'hecke_orbit_code': 27021597797786708, 'n': 983, 'trace_an': 23}
  • id: 46383215
    {'hecke_orbit_code': 27021597797786708, 'n': 991, 'trace_an': 32}
  • id: 46383216
    {'hecke_orbit_code': 27021597797786708, 'n': 997, 'trace_an': -21}