Newform data - 2025.2.a.y

Formats: - HTML - YAML - JSON - 2024-04-16T09:31:18.682806

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 8100, 'analytic_conductor': 16.169706409309278, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2025, 1, [326, 1702], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 11661, 'field_disc_factorization': [[3, 1], [13, 2], [23, 1]], 'field_poly': [3, 5, -4, -2, 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': [[2, [3, 5, -4, -2, 1]], [7, [-9, -24, -12, 1, 1]], [11, [-9, 41, -25, 1, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090448361, 'hecke_ring_generator_nbound': 2, '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_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2025.2.a.y', 'level': 2025, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '225.2.e.c', 'nf_label': '4.4.11661.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1-\\beta _{1})q^{2}+(2-\\beta _{1}+\\beta _{2})q^{4}+(-1+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2025.2.a', 'trace_display': [2, 0, 0, -1], 'trace_hash': 1158061885971273882, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.060', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.861', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.941', 'prec': 17}, {'__RealLiteral__': 0, 'data': '40.672', 'prec': 20}, {'__RealLiteral__': 0, 'data': '53.583', 'prec': 20}, {'__RealLiteral__': 0, 'data': '690.339', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, 'traces': [4, 2, 0, 4, 0, 0, -1, 9, 0, 0, -1, 0, 2, 3, 0, 4, 11, 0, 2, 0, 0, 3, 15, 0, 0, -10, 0, -4, 1, 0, -4, 10, 0, 9, 0, 0, -1, 23, 0, 0, -5, 0, -10, 22, 0, 0, 20, 0, -3, 0, 0, 17, 20, 0, 0, -30, 0, -18, 17, 0, -13, -6, 0, 19, 0, 0, 17, 34, 0, 0, -8, 0, 2, 40, 0, 11, 12, 0, -7, 0, 0, 12, 30, 0, 0, -34, 0, 9, -9, 0, -17, -12, 0, 3, 0, 0, -19, 13, 0, 0, 0, 0, -7, 36, 0, 21, 15, 0, -22, 0, 0, -40, 5, 0, 0, -37, 0, 9, 9, 0, 7, -25, 0, 5, 0, 0, 8, 15, 0, 0, -15, 0, 13, 45, 0, 36, 12, 0, 14, 0, 0, -15, 35, 0, 0, -25, 0, 59, -23, 0, -1, 0, 0, -12, 0, 0, 2, 0, 0, 0, 24, 0, -16, -10, 0, -18, 39, 0, 12, 0, 0, -52, 3, 0, 0, -14, 0, -27, 8, 0, -16, -30, 0, -21, 0, 0, 48, 13, 0, 0, 16, 0, -16, 16, 0, -21, 21, 0, 23, 0, 0, 48, 24, 0, 0, -29, 0, 2, -13, 0, -4, 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0, 66, 152, 0, 0, 120, 0, -72, -15, 0, 14, -108, 0, 54, 0, 0, -100, 112, 0, 0, -9, 0, -42, 75, 0, -93, 128, 0, 61, 0, 0, 50, -18, 0, 0, -132, 0, 240, -43, 0, 126, 1, 0, -3, 0, 0, 142, 43, 0, 0, 129, 0, -160, 223, 0, 216, 97, 0, 111, 0, 0, 132, 51, 0, 0, 3, 0, -133, 126, 0, -116, -4, 0, -144, 0, 0, 170, 3, 0, 0, 61, 0, 73, 1, 0, 195, 20, 0, -195, 0, 0, -129, 21, 0, 0, -125, 0, -156, -39, 0, -86, 172, 0, 209, 0, 0, -34, 153, 0, 0, -106, 0, 82, 179, 0, 9, -74, 0, 131, 0, 0, 12, 80, 0, 0, 54, 0, 63, 31, 0, -55, 117, 0, 87, 0, 0, 83, -2, 0, 0, -180, 0, -61, -119, 0, -36, 255, 0, -100, 0, 0, 74, 194, 0, 0, -33, 0, 9, -4, 0, -98, -63, 0, -261, 0, 0, 2, 150, 0, 0, 92, 0, -154, -180, 0, 7, -97, 0, -31, 0, 0, -48, -39, 0, 0, -155, 0, 81, -99, 0, 11, -60, 0, 84, 0, 0, 147, 210, 0, 0, -6, 0, -17, 189, 0, 39, 57, 0, 68, 0, 0, -175, -3, 0, 0, 34, 0, -33, 120, 0, -12, -91, 0, 80, 0, 0, -190, 276, 0, 0, -218, 0, 207, 83, 0, 186, 28, 0, 169, 0, 0, -135, 27, 0, 0, -126, 0, -93, -80, 0, 68, 66, 0, 60, 0, 0, -58, -110, 0, 0, -2, 0, -34, 260, 0, 108, 105, 0, 16, 0, 0, 196, 2, 0, 0, 23, 0, 261, 246, 0, -91, -87, 0, 24, 0, 0, 75, -18, 0, 0, 103, 0, 2, 94, 0, 44, 51, 0, 117, 0, 0, 150, 65, 0, 0, -103, 0, -126, -87, 0, 209, 99, 0, 150, 0, 0, -172, 157, 0, 0, 2, 0, -116, 34, 0, 183, -94, 0, -188, 0, 0, 183, 153, 0, 0, -276, 0, 285, -146, 0, -173, 78, 0, 97, 0, 0, -166, -84, 0, 0, -122, 0, 225, 65, 0, -172, -165, 0, 19, 0, 0, 117, 172, 0, 0, -102, 0, -262, 106, 0, -63, -66, 0, -30, 0, 0, -163, 122, 0, 0, 6, 0, 43, -140, 0, -36, -45, 0, -63, 0, 0, 158, 69, 0, 0, -42, 0, -201, 188, 0, -111, 73, 0, 96, 0, 0, 40, 66, 0, 0, 64, 0, -25, 180, 0, -73, 173, 0, -90, 0, 0, -36, -122, 0, 0, 7, 0, -183, 132, 0, -91, -44, 0, -96, 0, 0, 148, 138, 0, 0, -148, 0, -95, 108, 0, -144, 50, 0, 87, 0, 0, 48, -35, 0, 0, 141, 0, -30, -91, 0], '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, 0, 0], [1, -1, 0, 0], [0, 0, 0, 0], [2, -1, 1, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-1, 0, -1, 1], [4, -1, 2, -1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 1, 1], [0, 0, 0, 0], [1, 1, 2, 0], [-1, 1, -2, 1], [0, 0, 0, 0], [4, -3, 2, -2], [3, 0, 1, 1], [0, 0, 0, 0], [1, -2, -1, 0], [0, 0, 0, 0], [0, 0, 0, 0], [2, -2, 0, -1], [2, 1, -2, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, -3, 1, -2], [0, 0, 0, 0], [-3, 2, -2, 0], [-2, 2, -2, 1], [0, 0, 0, 0], [-2, 1, 0, 2], [5, -2, 3, 0], [0, 0, 0, 0], [5, -5, 0, -1], [0, 0, 0, 0], [0, 0, 0, 0], [3, -4, 2, -1], [6, 0, 1, 1], [0, 0, 0, 0], [0, 0, 0, 0], [-2, -1, -2, 1], [0, 0, 0, 0], [-3, 2, 0, -2], [7, -1, 1, -2], [0, 0, 0, 0], [-2, -1, -4, 2], [6, 0, 1, -2], [0, 0, 0, 0], [-2, -1, -3, 1], [0, 0, 0, 0], [0, 0, 0, 0], [6, -1, 2, -1], [4, -1, -3, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-9, 3, 0, 0], [0, 0, 0, 0], [-9, 3, -5, 2], [7, -1, 3, -3], [0, 0, 0, 0], [-6, 2, -3, 1], [-3, 0, -3, 0], [0, 0, 0, 0], [6, -2, 1, 1], [0, 0, 0, 0], [0, 0, 0, 0], [5, -3, -1, 1], [13, -4, 4, -2], [0, 0, 0, 0], [0, 0, 0, 0], [-1, 1, 3, 0], [0, 0, 0, 0], [-1, 3, 1, 2], [16, -4, 7, -2], [0, 0, 0, 0], [6, -4, 2, -1], [2, 1, -2, -2], [0, 0, 0, 0], [-1, 0, 2, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 3, -2, 2], [6, 3, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-11, 5, 0, 0], [0, 0, 0, 0], [5, -2, 4, 1], [-6, 3, -3, 3], [0, 0, 0, 0], [-3, 1, 2, -3], [-5, 2, -1, 2], [0, 0, 0, 0], [5, -5, 3, -1], [0, 0, 0, 0], [0, 0, 0, 0], [-5, -2, -2, 1], [-1, 4, -3, 3], [0, 0, 0, 0], [0, 0, 0, 0]], 'ap': [[1, -1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-1, 0, -1, 1], [0, 0, 1, 1], [1, 1, 2, 0], [3, 0, 1, 1], [1, -2, -1, 0], [2, 1, -2, 1], [-2, 2, -2, 1], [-2, 1, 0, 2], [3, -4, 2, -1], [-2, -1, -2, 1], [-3, 2, 0, -2], [6, 0, 1, -2], [4, -1, -3, 0], [7, -1, 3, -3], [-6, 2, -3, 1], [5, -3, -1, 1], [-1, 1, 3, 0], [-1, 3, 1, 2], [-1, 0, 2, 1], [6, 3, 0, 0], [-6, 3, -3, 3], [-5, -2, -2, 1], [2, -5, -2, -2], [-3, 2, -1, -1], [1, 5, -1, -1], [-5, 1, 1, -2], [-3, 6, -2, 1], [3, -1, 0, -2], [0, -3, 3, -3], [-1, 1, -5, 4], [-1, 6, -3, 0], [-5, -4, -2, 1], [0, 5, 6, 1], [-3, 5, -1, 2], [-8, 4, -5, -2], [11, -5, -2, 1], [5, -5, 1, -5], [4, 2, 6, 0], [-6, 5, 2, 2], [-1, 10, 0, 0], [-2, -2, 1, -2], [8, -5, 1, 1], [9, 2, 6, -5], [-8, 7, -5, 4], [8, -6, 3, 0], [12, 0, 2, -1], [-2, 1, 6, -1], [-4, 1, 1, -2], [-12, 3, -2, -5], [-2, 7, -4, 0], [6, 0, 9, -6], [12, 0, 9, -3], [3, 0, -1, 8], [-12, 0, -2, -2], [4, 1, -7, 0], [7, -5, 12, -1], [10, -4, 2, -1], [-4, 0, -4, 7], [2, -5, 7, -2], [-17, 4, 5, 3], [20, -11, -5, -2], [-8, 1, 4, -5], [-5, 5, -5, 7], [0, -4, 7, -6], [5, 3, -5, -1], [5, 4, 11, 2], [-1, -6, 1, -7], [-10, 1, 7, -2], [7, -7, 5, -4], [-5, -5, 0, 2], [4, -2, 2, -6], [-12, -4, -6, 1], [8, 1, 4, -8], [-11, -4, 8, -1], [-3, -1, -6, 7], [5, 7, -2, 7], [22, -5, 4, -5], [13, -4, 1, 4], [6, -7, 0, 1], [-8, -7, -7, -1], [-1, -3, -5, -1], [6, -10, -6, -2], [-8, 5, -7, 2], [-20, 2, -3, 6], [14, 6, -5, -1], [20, 7, 13, -8], [-5, 13, 3, 5], [10, -10, -2, -2], [-1, -14, -2, 4], [5, 6, -6, 6], [-12, 9, -7, -4], [-4, -9, 4, 2], [20, -2, 12, 3], [-19, 13, -4, 8], [8, 10, -9, 6], [-11, -11, 2, 0], [3, 5, 1, 6], [-16, -3, -14, 2], [1, -7, 2, -7], [19, -13, -4, -4], [-14, 5, -1, -7], [-19, 0, -3, -3], [-3, -10, 5, -10], [8, -5, 13, -5], [-10, -5, -6, 9], [-5, -4, -2, 1], [-5, -2, -11, 10], [0, 14, 6, -8], [10, 4, 8, -9], [-11, -1, -10, -4], [13, -5, 16, -5], [7, -17, 8, -6], [23, -14, -5, -8], [14, -3, -4, 1], [27, 6, 1, -2], [-15, 6, 11, -1], [10, 11, -6, 0], [32, -9, 4, -4], [28, -8, -9, -1], [3, 3, 6, 9], [-3, 9, 0, 3], [-2, -11, -7, 6], [19, -7, 10, 1], [19, -5, 2, -9], [-6, 6, -15, -3], [-4, 9, -15, 0], [17, -21, -9, 0], [7, 10, 2, -3], [10, 2, -3, -3], [21, 2, 9, -2], [-3, 20, 0, -5], [10, -1, 5, 8], [-21, -4, 2, -10], [-10, 10, -11, 4], [-4, 0, 13, -4], [-8, -4, -5, 10], [-7, 16, -6, 6], [21, -4, -5, -3], [22, -4, 14, -4], [-24, -1, -10, -1], [-13, 7, 2, 11], [4, 10, -6, -1], [-5, 5, -2, 7], [2, -6, 2, 4], [31, -10, 6, -12], [12, -7, 12, 4], [35, -2, 12, -12], [5, 9, -4, 7], [-29, 2, -9, 0], [20, -18, -9, 0], [-3, 18, -3, 6], [-11, 13, 12, 5], [-4, 1, 8, 5], [-3, 2, 9, -2], [-2, -10, 1, -5], [-13, 15, 5, -5], [19, 5, -5, -5], [-23, 8, -10, -7], [-4, 4, -1, -13], [11, 9, -3, 3], [-26, 2, -1, -7], [9, -15, 16, -11], [27, -3, 0, 3], [-12, -1, -10, 8], [39, -1, -2, 3], [-9, -4, 2, -16], [-11, 5, -11, -5], [55, -1, 2, -1], [-28, 6, -11, 11], [6, -12, 15, -9], [4, -11, -6, -4], [-21, 8, -6, 1], [2, 10, 19, -5], [-4, -6, -4, 4], [4, -10, 2, -13], [-19, 3, -12, -6], [2, -9, 1, -13], [8, -9, 9, 3], [-34, 7, -6, 3], [-19, -3, -2, -7], [-15, 12, -10, -1], [22, 8, 5, 2], [-11, 23, 0, 0], [-18, -4, -14, 3], [-7, -9, -5, -4], [22, -5, 4, -5], [0, 0, 13, -2], [20, 3, -8, 8], [10, 5, 6, 0], [27, -1, 19, -3], [-12, 3, 7, -2], [-28, -8, -8, 1], [-10, 1, -9, 9], [30, -4, 12, -11], [13, 16, 15, -4], [-27, 15, 3, 0], [17, 4, -15, 3], [-17, -1, -16, -7], [24, -1, 4, -3], [-19, 6, -1, 4], [-26, 19, -4, 18], [43, -7, -4, 2], [-16, -5, -8, 7], [22, -8, 4, -2], [28, 8, 21, -12], [23, -20, -14, -5], [19, -2, 13, -11], [6, -16, -7, 11], [-8, -16, -8, -5], [21, -1, 1, -12], [-28, 13, -10, 8], [0, 9, 6, -15], [19, -11, 4, 7], [-11, -14, -13, 12], [0, 9, -30, 3], [16, -10, 4, -11], [-7, -5, 13, 4], [-34, 6, -17, 5], [-15, 5, 2, -7], [9, -24, -3, 0], [-10, 15, -11, 14], [-11, -13, -2, 10], [0, -13, 5, 8], [-2, -16, -7, 5], [17, -20, -3, 12], [13, -8, 5, -9], [7, -16, 17, -10], [14, 9, 8, -8], [-13, -18, 4, -7], [-5, -5, -29, 1], [-20, -4, 12, -6], [24, 8, -7, 8], [17, 16, -2, 7], [-1, -12, -16, 1], [-35, 14, -2, 16], [15, 0, 12, -12], [-15, 24, -3, 0], [3, -9, 15, -9], [-27, 5, -14, 21], [13, 4, 2, -9], [-30, -1, -26, 12], [-30, 9, -6, 3], [11, -2, 2, -13], [-14, 1, -20, -8], [-5, -22, -6, 0], [-1, 0, 6, -3], [20, -5, -1, -1], [33, -1, 9, -5], [26, -20, -1, 14], [15, -27, 0, -6], [-17, 16, -3, 8], [-31, 16, 6, -3], [-1, 25, -11, 4], [16, 16, 5, -3], [-9, -4, -13, 11], [-4, 4, 13, -14], [21, 5, 29, -1], [-21, 11, -9, -8], [-20, -16, 4, 4], [-3, 11, -10, 23], [16, -11, 9, -13], [-25, 25, 7, -5], [21, -13, -9, 4], [16, -7, 24, -15], [-4, 19, 6, 9], [-1, -12, 12, -6], [-34, -11, 5, -1], [23, 12, 6, 0], [16, -8, -4, -15], [32, -15, 18, -18], [31, -8, 15, -10], [27, -16, 13, -21], [-5, -11, 13, -14], [-20, -4, -7, -7], [37, -8, 27, -10], [8, -6, 20, -17], [-22, -8, -14, -5], [-17, 2, -20, 10], [5, 3, 19, -10], [39, -3, 26, -13], [-12, 5, 4, -21], [-22, 15, -10, 13], [-4, 4, -32, 1], [17, -3, -2, 2], [-43, -2, -8, 1], [-46, 6, 3, -6], [-25, 22, 7, 1], [-20, 11, 7, 4], [-27, 18, -1, 5], [-12, 0, -12, -6], [-29, 2, -1, 8], [-50, 4, -20, 7], [-19, -23, -5, 10], [-28, 0, -27, -12], [-18, -9, -6, 15], [48, -21, -3, -15], [32, -3, 9, -15], [-45, 11, -29, 24], [6, -30, -11, 4], [-17, 25, -7, 3], [-17, -13, -10, 5], [2, -3, 25, -1], [1, -5, 19, 4], [-29, 14, 5, -10], [-26, 22, 13, 13], [20, -5, 37, -2], [-33, 5, -14, -9], [27, 0, 18, -3], [12, -18, -21, 3], [-11, -4, 11, 8], [18, -7, -19, -7], [32, -14, 21, -12], [-14, 4, 5, 3], [-1, -23, -11, 7], [-18, 6, -21, 21], [24, -10, 10, -6], [-49, 7, -5, -5], [-43, 21, 9, 6], [34, -8, 13, -5], [36, -15, 19, -11], [-36, 5, 3, 13], [5, 7, 28, 1], [-2, -26, -10, 18], [6, 8, -1, 5], [-37, -18, -14, 14], [14, 7, -14, 7], [23, -5, 17, -13], [-18, 2, -5, -6], [-37, -2, -22, 2], [14, 12, -6, -3], [24, -30, -10, -1], [-35, 37, 10, 4], [-30, -3, 5, -16], [-14, 16, -8, -11], [-1, -5, -6, -15], [-19, 15, -18, 12], [62, -9, 11, -2], [22, 19, -13, 9], [5, -23, -3, 3], [15, 27, -21, 9], [27, -4, 4, 21], [-31, 1, -19, -13], [31, -7, -1, 5], [-24, 20, -1, -16], [-31, -12, 7, 5], [33, -30, 9, -6], [30, -3, 5, -16], [33, -22, -8, -12], [-10, -6, 17, -5], [-3, -27, 11, 2], [-9, 14, 6, 13], [-9, 8, 31, 3], [16, -1, 29, 2], [-49, 7, -15, 15], [12, -18, -18, -9], [11, 7, -5, 22], [-9, 24, -14, -2], [38, -18, 10, -19], [31, -1, 6, -6], [7, 8, 38, -1], [6, -12, -8, -23], [-37, 15, -24, 21], [-21, 14, 9, 1], [-17, -13, -10, -4], [12, -22, 4, 0], [23, 6, -3, 9], [-29, -7, 5, -19], [4, 1, 0, 17], [29, 13, 2, 14], [-24, 12, -24, 9], [-5, -5, -24, -4], [-49, 0, -41, 14], [-19, -5, -22, -1], [36, 3, 12, 3], [-18, -19, 17, -16], [11, 31, -8, 4], [51, -10, 6, -2], [-12, 21, -25, 17], [9, 6, 15, 3], [-10, -12, -14, 2], [-15, 3, 8, -4], [25, 19, 6, 5], [6, -3, -23, 16], [-17, -11, -17, 1], [19, -20, -29, -11], [-14, 10, 15, 5], [71, -8, 10, 7], [-19, -18, -4, 4], [39, 3, -17, -2], [0, 12, 7, -14], [3, 2, 5, -4], [36, -15, 7, -8], [-34, 9, 15, -6], [-6, 14, 23, 11], [-24, 9, 3, -15], [5, -6, -5, -7], [-2, -13, -4, 20], [20, -12, -5, 2], [19, -22, 11, -13], [-42, 5, 15, -2], [22, -13, 16, -2], [-9, -21, 5, 8], [18, -16, -15, -2], [-7, -3, 0, -24], [-3, 6, -1, -4], [-27, 17, -20, 0], [70, -10, 8, 2], [11, -3, 14, -8], [6, 12, 3, 9], [13, -10, -18, -3], [32, 18, -19, 7], [-28, -18, 6, -12], [0, 0, -2, -2], [-32, -10, -2, -2], [-9, -37, 24, -8], [-51, -3, -21, 3], [47, -5, -3, -12], [35, -20, 3, 12], [-51, 26, 3, -5], [-15, 6, -9, -15], [39, 9, -5, 4], [-14, -8, -23, 1], [43, 11, 6, -9], [-49, 4, -24, 18], [23, 1, -11, 16], [-40, -6, -33, 15], [-7, -2, 29, -1]], 'char_orbit_index': 1, 'field_poly': [3, 5, -4, -2, 1], 'hecke_orbit_code': 108086391090448361, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [3, 1, 1, 0], [2, 5, 1, 1]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-3, -1, 1, 0], [1, -4, -1, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '2025.2.a.y', 'level': 2025, 'maxp': 2999, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[3, -1], [5, -1]], 16, 4], [[[3, 1], [5, 1]], 16, 9], [[[3, 1], [5, -1]], 20, 6], [[[3, -1], [5, 1]], 18, 7]], 'ALdims': [16, 20, 18, 16], 'Nk2': 8100, 'analytic_conductor': 16.169706409309278, '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': [2025, 1, [326, 1702], [1, 1]], 'conrey_index': 1, 'cusp_dim': 235, 'dim': 70, 'eis_dim': 71, 'eis_new_dim': 12, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33556457, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'label': '2025.2.a', 'level': 2025, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 306, 'mf_new_dim': 82, 'num_forms': 26, 'plus_dim': 32, 'prim_orbit_index': 1, 'relative_dim': 70, 'sturm_bound': 540, 'trace_bound': 11, 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• 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: 861510
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '225.2.e.c', 'target_level': 225, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '9.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 861511
    {'conductor': 45, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '225.2.e.e', 'target_level': 225, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '45.j', 'twisting_char_orbit': 10, 'weight': 2}
  • id: 861512
    {'conductor': 45, 'degree': 4, 'multiplicity': 4, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 11, 'target_dim': 16, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '225.2.k.c', 'target_level': 225, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '45.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 861513
    {'conductor': 45, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '675.2.e.c', 'target_level': 675, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '45.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 861514
    {'conductor': 9, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '675.2.e.e', 'target_level': 675, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '9.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 861515
    {'conductor': 45, 'degree': 4, 'multiplicity': 4, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 11, 'target_dim': 16, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '675.2.k.c', 'target_level': 675, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '45.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 861516
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '2025.2.a.p', 'target_level': 2025, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 861517
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '2025.2.a.q', 'target_level': 2025, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 861518
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '2025.2.a.y', 'target_level': 2025, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 861519
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 26, 'target_is_minimal': False, 'target_label': '2025.2.a.z', 'target_level': 2025, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 861520
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 2, 'target_dim': 8, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '2025.2.b.n', 'target_level': 2025, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 861521
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '2025.2.a.y', 'source_level': 2025, 'target_char_orbit': 2, 'target_dim': 8, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '2025.2.b.o', 'target_level': 2025, 'twist_class_label': '225.2.e.c', 'twist_class_level': 225, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2374125
    {'charpoly_factorization': [[[3, 5, -4, -2, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 2}
  • id: 2374126
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090448361, 'p': 3}
  • id: 2374127
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090448361, 'p': 5}
  • id: 2374128
    {'charpoly_factorization': [[[-9, -24, -12, 1, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 7}
  • id: 2374129
    {'charpoly_factorization': [[[-9, 41, -25, 1, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 11}
  • id: 2374130
    {'charpoly_factorization': [[[107, 5, -30, -2, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 13}
  • id: 2374131
    {'charpoly_factorization': [[[-303, 110, 20, -11, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 17}
  • id: 2374132
    {'charpoly_factorization': [[[-25, 80, -27, -2, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 19}
  • id: 2374133
    {'charpoly_factorization': [[[-243, 9, 57, -15, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 23}
  • id: 2374134
    {'charpoly_factorization': [[[-129, 142, -40, -1, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 29}
  • id: 2374135
    {'charpoly_factorization': [[[243, -27, -42, 4, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 31}
  • id: 2374136
    {'charpoly_factorization': [[[-647, -503, -99, 1, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 37}
  • id: 2374137
    {'charpoly_factorization': [[[-207, -161, -25, 5, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 41}
  • id: 2374138
    {'charpoly_factorization': [[[-673, -586, -48, 10, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 43}
  • id: 2374139
    {'charpoly_factorization': [[[-381, -70, 107, -20, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 47}
  • id: 2374140
    {'charpoly_factorization': [[[-471, 179, 86, -20, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 53}
  • id: 2374141
    {'charpoly_factorization': [[[-2313, 914, 2, -17, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 59}
  • id: 2374142
    {'charpoly_factorization': [[[-1, -91, -3, 13, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 61}
  • id: 2374143
    {'charpoly_factorization': [[[243, 300, 36, -17, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 67}
  • id: 2374144
    {'charpoly_factorization': [[[381, -263, -40, 8, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 71}
  • id: 2374145
    {'charpoly_factorization': [[[113, -241, -96, -2, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 73}
  • id: 2374146
    {'charpoly_factorization': [[[207, -69, -33, 7, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 79}
  • id: 2374147
    {'charpoly_factorization': [[[729, -945, 288, -30, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 83}
  • id: 2374148
    {'charpoly_factorization': [[[2025, -405, -99, 9, 1], 1]], 'hecke_orbit_code': 108086391090448361, 'p': 89}
  • id: 2374149
    {'charpoly_factorization': [[[-953, -161, 81, 19, 1], 1]], 'hecke_orbit_code': 108086391090448361, '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': 25, 'label': '2025.2.a.y', 'level': 2025, 'portrait': 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5GBU3MVOn1LsyqoBQJJQhhqmjVNuxdwah6GJsBYy+XbIjo9zflFj6mGz0XbEnZt7lKvDRHSEkWCVq/KQitgqibwpc/5+YCj5wQnZxNOLyWE1R6vu6HLW26CUE5y6FST03OKCxlzL1iOLFpectUCv/KeFbZOTXLqwjSzi1UWVnwWViRLqwlLrZjF1YTZZUPb1tm2ZdL8wo9Mf+Lma8KfnF/W7Uuv+mcvNCT+p27/oAG+stJiZSCoePa37nro0Eu/ds+fyYlg+aX/4QdOecutbSyuTrG4UmNxNWRx1WOpJVha1Sy3Y5ZWNbOrcGxJsGnDKr/6g0vceGmNM3PTnJ+vc37RY27JMruYcHZBM99JmJwe8LJrutx8OQSySqhC5pYrXFj0mF0W9IaQJIZKYKhXNFMTCQY4NZvQ7sLuzT716hBrBYiAbt+wa8uQpVUPrJMiq10YJmCxLLcitm/y6fQVQlmEGdKs+OzaOmC1Jzh13kMbj5mmpFERhD4kiaA3lMwuSy4sWeZWEsJwAH7CLVd2eelVgo3NKksrTc7MhZxfhLnFhLnlhHPLcGzJ8pIrF/m1H1xh62ST07PTzC1XWVgOWGwJllYNy62Y5bZmqW2Yb0tOtGGwusD7fylKtm6qPfBtr/0JI4JrH1BS/2KUhISV5gsNlee8/YMNMt/3/k8xNTXB7OzCb374E/f8mw9//rHwwrxl46TmO15a4bqLukRJSBQrYi1JjEDbVGcD1gJCI6Tl+OIUv/ZRwW/+6BzX741oVKepVxs0ayGNms9kUzG3pJhd8fjK1yvcfn/CJTt7XH5RwvJKnyt2Dvm+NxriRCGw/O03Ksy3KlT1kJMXFN1ug2sv1sy3Ew4c8rl0p+TIebjlMmh1IDIeoRexoQ6Hz1WpVWNClTDREKx24KYrOhw7G3LpbsOJ80OeOeb+PX/ngGNzlonGkOV2xOe/UsMKhdaaV13X49brLbOrPtfvG7Bvm08SN+n1qxw4XmF2UTi5tpIwt2w4vSyY60Zcd+kSv/wDXTY1pzh1YZK55SqLqz6LLclyS7PaiWl1Na2eodUXLA4kw96Qm6/ucd1Fi96WmcYrZ49+FFF77a1T295g6o3mvz/4xKe5/LrvfqEhs+7tHySDf+Sjn+aGa7arL95z5JdPn537948/c0qdWYpZ7CtWhgkv2jvP7/2zBa7fV2V2aZql1TrL7QrLLZ+llsdKB1ZampV2wnInYbEFZ1YEXnXArVct8+5XRuzdVGe122S+xF7LLcNSy7DSMbT7hvbQ0hskzDRjdm02gCD0LWfnfYQM2b1JsXebZdumHnMrQ5480uDFl1hq1RWePjpNox4RRT4zU4b+AK7YNeBjd01y2c6E4dCyYUIS6z6NSsgzJwdU/TrXXZrw1PGIuaWA7TMhe7fCri0RSsWcXYTAtwhh2b05Yaoh6fRDuj2fds9nua1YXoWllmG5pVlsaWZbsDTQ7Nre5d2vWuTWyz0qfpMLi00WVyosrnostwUrLcNqJ2alo1npWJa6cKGjmF9NuOnyC7z3ny1y+c4qrW6DlXaFdm8Kv3axrtY3/+ZKfPWv19UJfeNL3/5CQ2fN7R8UwA8fOkSlUqmeO3d214OPPP2uoyfO/8aho2eJtaIzFKz0BQsDyUIn5iX75vjP/2yJF11UZX55isXVOivtCsttn5W2x0obVjuG1U7CaidhuW2ZawnOdy2ILu94eYs332i4aGuFKKqx0qqw2g1odRQrXUGnJxgMLVFi0RqUtIQ+VEPLZNOyaTrG8wccuxCx/2iISeq88aYIz1/l0QMT7NkKX3go4eVXh8y3+lQ8RaJjpqcgiX08P2FpqcbLrm/zha832LsVHjkyxKfGG240JKLP/mOaE2creDJg85THVF1QDQVBIFACEgNRbBlE0OlZVruGTs+w2jMsdS19rdm9o8ebb27xjpdGYBosrU4wv1xlqeWz3PZYacFqR9PqJqx2NKtdw3JXOHC3E264dI73/tQ8V++pstSaYLVTpd0L6fQCul0I6jsIatv+w8ymy/96+/btp4fDQf/iSy57oaGU3/7BAPzsmSNs3LQxOHL46A8fOnjkfQ88+IRYWO7I4RB6Q0N3YGkPBK2BYL4vme/E3HjJHL/z48tcf3GFxdVJllbrrLRDVjsBKx2P1Y5gtWNpdzWrnYRW17DStcx3BBdahqnJHt/2kg63XJ6we7OiWfVpdyqEvgQUUSIxRmAs9AaAMEw1Bhw5ZzE24s5H6gx7VS7eHnDrNT1is8o9j01y3SU+R2a7tFaa3HxNj688GrJ52nLglOWfv73NgZMhm6clX35McesViuVem+Nnprnu0oh79vdJhjVuuTJg384B/aTLlx5VoAXHzno0ax6egF5fYqxAG0ucANLgBYZW11JvxOzcOuSlV/T4thcnzNQrzC1PsLRaZaXtjs1KW9DqQquT0OomqSyxLHcls13BQifh5svm+c0fX+DaiyosrU7Q6tZScPt0+x7dvqLTF0S6anbuvtru2rPvZ/ZctO9Dy0sL0VVXXP5CQwr4BwJwYyIZR/237n/s9otXW+a9Dz30qL/aFfQGTiL0+iYHeScF+UJfcqGVcMsV8/zWjy/w4n0Bq+0JFlYatLoVVjsBq12PVkfR6kGna2n3EtpdTbdvaPUsC13BQhdiPeTaS/psmdZ0e5Y33TxkzxZDoiWetEQx3P1khdPzFbZOJTx9rAKmxuU7FNdfZggrPR490mNhsc5Ve+o0J1f4+lM+N1xSYam3yspKky1bLA8dUPzAa7o8fMBjxyafxW6LleVprr+ix9ef1kxXJ7nq4i7zrRYPPTtJ1avzksssl+4agOzy5AnBpumYuYWYe570GcQKKUEby56tEd92c0Snq9g2Zbj+EoiiGsutGsutkNWuT7unaHUl7S60e5p2V9Ppado9w2rPstyXnGsJWoMht166wK//2Ao3XBoytzxBu1Ol3avQ6buscLen6PYlnb6g1dUstyKuu/4lcay9n/uBd7/taL1e/Xwl9M0Lja0XPMjs9fr0e8MfnD/3yO8tzR2aPn+hRb0mMVYihEUIECQICUIYpLBIAUoYlPR4+PBmfvEDHu+4dZnvfc0ye7dHzC41CYMq1TCgFvrUqx6dqqTR95moe/QGmm5fs3lo6A8tnUHI8kKFs2csUWI4N5sQhhYQBMriSUGvrxD4JD2PF+0R7Ntm2bW9x1B3uONhxcGjU7z+xSHXX7HCR+6wBKLGnu09nvq6YvukYkOzR0VViWKf+Q7UKx47NgueOBhx/aVVXnndIh++rU/gN3jdTRY/7PHVhyK+8GCdZ09UuWhbjT1bNRunIvZuiLl6j0Ypg6csYKmFIRsnQ6LYp9MLePqIT3fg0esrugNJtw/dgaXbc397p6/p9i3tvmW1Dws9xdyKpdZs8bNvWuA7bx1y7UV1Liw2aHWrdFLm7vQVvYEDd7cv6A4sg6ElSeBr9zzs15ozv7d160PLb3ztTf+m1+t9uFar/Z8L8DjqAfzY6WMP/Nbxg1+Z7rVbBF5INXRLr0WQJVuF1EgBUhiktChp8ZQlkJKnjmzk8cN1Dp+f5+0v7fLSKwdMNpost2rU2xWa/YBuz6OTnuz+wKM39BgMLYPIEMWWOLYk2t2jJMAakErge4JKIJhsCKYasGWDYcfmHhumWnzxUbj3cR9pJnj9i31edHmH+5+NiQZNbn2RoNXvM79U55ZLDRsme1S9kEGiWGjHKCN40aUetcaQxw5VeMX1E9x8bYfHDimwE7z4yoAffcsyX3ki4ssP1zlwusKujYot01WmGjUmGlANwfcsSoKxcOCEQGtBnAiiBIYx7m8cavpDw2Bo6A3S1bAP7SEsdCXzHRiaAa+9bpm3vrTF97/OkCRNZhfrdHoVOr2ATt+nmx6/3kDSG2QrrKY31AxjSxRb5k/P8lef/OJ0os3//bY3v8Jrd3ofaDZeOJC/YADX0QJCxj+6OvvV32qd/+omZftUKgEWi7EGY8FaCQiEcEuxFCClyJnLUxZfGaq+YLFX5eN37eCrj7d5+dWrvOe1q1y9t8vMZI2l1Rqdfkiv76fAVu4eCYaxJE4ESeKWele75YJKz4NKALWqYboRs31Tj4QuR87FfOKeCsfP1JkMq9xwpcct17R56HCLO7/R5KZLKuza2uNjdwmUCGk2Yla7Q4wFJWBjs0e7E2CSKm99+Twf/0KNfXMV3nxTjyhe4p79M8S6wo1XbuLNN7S5ZGeLrz7W46kzNZ48EbBjWjLdFNRCQeC7i1AKEMJiLBhjiZP0Yo0tw9hdyIMI+hF0BoKVoWC5A8IbcN1lq7zn21Z5+ZWamWaF1Xad1Y5j7e7Ap9f36A5UCdiC3tDSH2gGA81gqBlEligBhOL8fIs//csvb5rv8Fvf950vs2dmV/9855bJ/zMA/qP//q/4wG+cYuHUf/+hitd9b7T8zIaKN6RZryMHCdYKrMUlS6zjcCEEUigHbqnxlMBTBk8ZAs8SepaqJ1gZKJZaU3zy7joPPt3l1mtXec/rVrluX4sZXSVJQnqDCt2+T3/oOQ89kSRaoo3AWIHAIoUlDAy1SkIYRAT+kHNLQ257RHL0bMCJs1MoE7Jva8AVexUvvryNChfYf6zB9skaV10EWzausNxucvV2SWIsX3w4ZNiTTNYT3nDjgM/fE3N6tsFlF/tcWB3wzHGfnZunuHbvAvc/1eHrzwiGUcDle6e5fGfI5Ts6HLuwzNFz8PDBGkeO16l5gtCT1ENLxQcpXVBlrbtYEw1RApEWdIeC9kDQjiEyCcYOeMklbd7zbW1efrVm63TIYDDBUqtCpxvSHQT0+h69gZMkvaGgP5D0h9CPUnAPNf2Bph9ZBum9Hwl6seLU2Tb/+S/v2vTk0VPv3bvFS976sx/9yEf/XYupPT/9jxfgTz/8l1x94zKNyp7vP3V2/x/+6Ld9ffJ11wsG1UkMEcbJSXcHQCGEREqJkgKllAO350Due4LAMwS+JfQttUAzWRF0hj4r7Sk+fW+Tu54csHmqx7te1eLynQMG/S5X7bXs3KIYxj5aK7SR2Azc0uB7mlNzlhOzgtW+4XP31zi3OIWNfKYqim0zHru3eFy0Ha7a18bIRf7s83WWlye46XKPq/a1+OqTApH4bJqS1GsJvThAWglWoryA1kAwtyy40tZ41Ys7PPBYlW0bAm66apofecsiH/pCh4cP1ekOfJZWG+zdVuWyrT1uvLTDd72iw/nlZT53f8hSL+TUBZ9z5wJ8JZBSIhAYa9EGYmPRiWFqJuaaK3sMhzGX7xzyzlcN2TShmG6ExHGFCwsVev2A3tCtcv0U2P2hpD8U9IeCwRC3EgxT1h6aFNyG/hB6kaAXQSeSdK1k5dQi5zc/s+HfvGX7H/7I66+LJ3d/4a9+933/nX/7M9/3jw/gK6f/kMmdC2L+SPg99z3+9Pt/9/GDtdVeQhhYQj9Ca4UxAuE42wWXwrGSlKCkTJk7ffQcEANPEPiGim+pxpZaZJmoaKaqgl4k6UR1Tpyt8zt/NQ0mQSQJL76mx94tEUkCxhqsdUkcKQRSCTw/4NDpgANHK9QrHo1AsqEm2Dgj2TTtsW2jYvdWzWW7V9FiiT/6TJNTpye56VKfy/do+kmHb+wPmaz6zExYJhsRtaqTQsZIWgPFctey1NK0ulVedtUqjxzocfC0YrJZ4cYrJ/nxty7xx5+Fx47W6fYtqx2PueUmWzbU2DQ1YPfMgH/7PT2atRZPnYBDZyS+b1HKIoRxLGEdmycJ7NmiufXqBB37xEmItTUGkc/sYkB/6Fa0QaRy+daPBIOhZBAJ+hEMUy0/jAzDyKSSx9LPpY8DdzcStGJBJzGgIyZrfU6ePTL50S9ufX9HvytpXbz9k//iP33U/tEvvecfD8B/+Jc/yp6fvFj9X+9+8B03733mIzddvL/yzlcJPKURSlOtDDDWOZZCOAqXsrg75rb4nquN9j1B4CuGvmQYGcLIBTnV2DCMDVFkaSYwjA3DBKJEMIglQx0S6woHj9Z58iBoa3HQdtrYlxAoV/PRCOGqrdCswkRdMtVQzEx6bJqGXVuGbN24SmyX+aPPTHDs+ATXX6S4aIdk344VvvZMwtzSBC/eK5lqGipBn1CGWCVItERYS6IjVroV5pZ8rr+8yosu7XD/YxU2TwlqlQbXX2r42Xcs8YefNTxzrsFq17DaUSyseGyYrDPVrDLVnKBZi9lYj9l9fUToJ/heglIaKdwyaHEXVRwr5hc84kQRJ4ooVgzj9DGSDGPJMJIMIskwEi5AjQTDyDpQx4bhMH2MTKrrYRA7cPdj6A4FrViyGkESRWAGaAu3Pwif+MLB2tveOPzID+2aNa/9wcZnfv8n/0Crjf/qWx/gP/Xrf0Gj7qu3vuiZd/7VHSsf/nD7VOXiLTUOn5Xs3R5z2Z4WV+/qOXCnAJfCIpWTC0p6+MriK4XvWTxPEvjCnQRfMAwUUeyAHseWKNHOFUlKdw2Jtmht0Aantw05uIUAJcGT4PsQeoJKKKiFknpNMVGTTE0INk0n7N7So1Ff5TMPRNyzf5rVxSbX7FLs3upzyc4BWqzyxYdr1H2PjVOKRm3A/mPw7HGPq3daekPFtZfEXLPPMntBs7AS0B/UeOMNHe57qs+Rc4p6VRIGTa6+yPDrP7TE3c/0+fzdG1hqW3Zv0qy0PCabiom6T6PmU69aKqEhDAyhp/HSYyelOwfW4hJWRpAYSaIFSSKIE0mUCOJYMoyd8xLFgii2RBEMY02Uk4ZzmwZxFrjiGDwW9CNBNxG0IkErgSgaIuMO1+3r8O7Xd9m7zfDyF0VsnzpRuXbXtX8Zze39p6ipTw3nfl+Hm//1tzbAN1U92esNvvfYydk/efipC5VE7+CRAxGImMeOxHR7Pu98dZt3vbbHRMMge8adHGXwpI+nDL5v8DwP31MEvmObyJcMA0EUC3dyYkWcQBRL5yAkhe2XaIPWzl3QNnVKUp0vhEglkMDzBIEnCANJJZTUq4JmzTLZMGyeHrJxqkNiV/nkfZIPfWGGTZUK1+wS7Nrqs2ebYffWFT7zDcvycoXLtyimmtCoxcydlMyvhAR7YRgLNk5IJifhyAnLStswu1jhkj0VXvPiDrfdW2GmAWEQoOQkV+8T/MSb5/HlPH97/xTPnquwuR2zaTJhoq5oVBW1qqQaeoQBhD54nnOYnK1aAjnuwtYGtBYkmhToEGvngsSxdqQQG6L0cRgb4hhnBSYpuGMYJAW4V2NBJ7bowZCJSot3v3GZ73lNhze+RKOtx7UXQTSs0+sfr7RN8P6ISc/ayf+O45lvTYB/+KOfRWvzQ1+89/h/PnvibHO64TPQgqH2iY3G6pgvPuTzjadDLqys8M+/q89UM2YQ1Wh3NZ7SeJ7Gj30CTzP0PYaxcgBPmdsxjnBMlLJSkkCsQWvnJBjjAi5jbNbDmYLbAVwpkQatDiCVEGoVQ6OaMNlI2DjZZ8PUKg8cjPjLO6scOjHJngmffVtgx5aAHZvhsl1tekmbhw40qSqfjVOKyQZMNoZMTSQEgYcQ7uLqDwOW2zGrPUurmzC/ErBrS4ObL5/nzod7HDrXpBbG+CpAiAn2bVf8k9ct8pLL5vnLOxs89PQkS12PTc2EyVpCrSKpVhShLwh9ie+7WEUpUvvQodxVWVq3eqVAT7RJVzdHCnFiSLQDdxJDlNjiHjtXZpAIBrGgFws6iaCdwKCfYJM+M7U2P/Pdy/zb7+9Sr3i0uw2ixCdJfGLtESceg+W5ZiKn/8irvjh4+tG//dDVL/mObz2At1ZbKKV+7AN/8enfmjt/dmZLA3qxoZ8I+omgpz0GUhE3PVaHAf/5EwEHjq3yHa/o8MrrOmzeENHpVOgPQ4IoIPJ9At8jjJ29F8WuViSOJVHilt04ST1tTWr9kTK3TH31FNwuSZkyN3jKJUwC31IJDNVKQqOSMNUcsnVDm7lWj/d9zueLj0yzvFLn4o2CXZsE2zcF7Ngk2LttgBes8vF7PI6fqXPpZslUQzJR10g55NyCJfQkUjj7M4o9dm9q8zCadk+x0rbMLVe5dEeF73pVi099NeDkXIjvxQjhY2ydOJG8eO8Ku7+vzRcf6/GxL07z6Mk626cEG+qaekVTCQShLwh8ie8JPIULnKXIazIs7iIzFue0aAf4HOTaSTq3CkKkXa1LlAiGCQwTQT+BTiLpxtCPDbo3ZMeGNq+8fpW3vbLLm16i8UWV1dWQOAmIE58oceCOYo9e36Pdm5+Z3tp77zUvebvqddsfqNX/99SU/28B+PziKlZ6P/Kpz9/zW/c/9MwmKS3VQCCExZMQKkslEfS1oKd9+lLRinw+/rUKdz9V4/rLu3zf6/p8+01tNkwM6Q0q9KOA0PeJE49hnB0sRZKk9eCJJNaCJJFoLdBGFFrbiMJ9tKk7I0Ap5zr4yhD4hjDQVMOERnXIhsku/bjPV/dbPvG1CR56epKpwOfq7Zat05LNMwHbNkp2bI64aPsKT53s87n7NjKhPDZOCJp1QbMW0+ppvvCNCo3AlR0YC/2hx1tvHXL7g64mptU1zK947NjU4O0v7fLQwQ4HjgTUwwQlhQO5qTGInNb/J69pcenWeT5+d5uvPzvJ6ZUqW5qCiYqlFhgqniHwwVMClbpQMnWlsvIjk0o1Y4oVLkmB7ggCYi2IdZoV1SInp46GYWRIooh6tcvbX7/C972uzfWXaTZPeQwGDdrdgChx5ytOPOJYOZDHbhXWRrC6sH/T/Nnp39p50atMPFz9oB9+85NB31SALy+v0u508T3xg3fcee/vfuZvvzKzstLC8yS+BwiXYve1wJcQaktFO6B3pc/A9zjbDjj/YJ0H9/f41NUd3vnaHm+4dZXpiYAoChjGAVGcHrjYuQKJViQ6TdjoAuDGpsxtipqyrL5FyTQb6hkCXxMGMdUwolHto+nzlcckf3XXJE+fmEDEIXumLFsnLRsmFRunA7ZskGzbGLNrS5szCx3+9PN1kmGVHTsEkw2PZh2atRjhR7T7dSYbFiFcEitOJNOhIjEJnTig09OstBXnFqpceVGDn/yOVd7730NOLdTxVJxeGB5JUmEQSbbMhLz44jbXXNTlmVPn+MTXqtz56CTnW1XqoaIRQN23BJ7FV+BJl853dT3FzQDWuItOG4G2kGjh/HMtiLRLEvW1oK+hn1iSJMbEETOVPm987Srvem2bl1+dMFn1iJMaq+0wPT8+UXZ+UufG3SVxorBWEg2WOXrgrk1x7P3u1j23JEuL5/+iUqlTq3/z5id+UwHe7fVpNOpvu++Bh//4C1/4SjPqt6hXFNaCEhYlnB2npGNyX7t7oC1VJehpQU+FDLTP/LDK3z5U555netz45S7/4rs7XLGrw6ZJRbPuEUVBqu0KkOsM4MYVa2UZUZsHlK6WRSnrMqFeQhgk+Cqi3Y9ZaMf8wWcqnJif4rEDk1gTMFMVbNpg2TAhmGkqZiZ9Ns9ItswkbN/YY2ZyhS8+bnj02Umu2SGYakgaNUmzZqhXI4Q/JAw9POU+31rQWtIfevQHMYkRdPqGTtey3PaZXWpyy2Vdbr5ylY9/uUJ1WeHJ2AHSeiQ6IIol/aHPhskKL9nX5SUXd3n4lec5tSD5yzsnmV+tcXYpJFCSui8IMhkmXeCZE3kmVXBMnlhBbCAxgqGGQQKRsaATSGKkGrJtqs81u935uOEKTbPqkSR1Wl1HPkkqQxLtGDtJQZ09ZqutW10Deos9llt3zwyT4I8vuuT6lWjY/9w3E5PfNIA/e+AQO7ZvUX/6gY9d/Myzh5udziqNmueCGW3RRqAUKG3xUtvO1wJfWwIDcQIVbakpwUBLep4D+lJU5c5Hmzzw7IB6OOSfvqnFzpmE3dv63HJVB08oGjUPRApwo7DG1UpbW2JuLEJalHCeuSUBmfDMCckjBz1ue6jBM6cbREmNhqfYWLVM1y1TNet88KbH9ITHzKRgy3TCto19tm5c4Z6nh/zZbZvYOumxsQnNuqJZFzRqCdVwyAOHFYPIw687UFkriBJJxVNcd2mfB/dPusKnvma17bO4GjK3OMVPvnmOs4tLPPjERnwJiBgDKYB8hpGk2/eYalSYbNa5+dIer7ymx/e9eoGDZwy3P1ThoYNVDh+vkwiP4VDRixVKSIQQY4FnmhOwhsRYrDH4QjMRRFSIufn6Lnu3DtixIeY9bxhSDSSNqs8wqtHqBMSJ575XDuhMOmbgdqtrJiO1Fq7FUAuM8Yi6bQ48fW9zdeXCxbe+8l3q/NmjetuOb07n/jcF4AeefZbtWzYGDz708A8rof9zt71MveanbAVauYjd05ZEChJFbuF5GnwtSJQl0BBqqGpLXQsGGga+z0D79HSVTkfzux+fwiYxmzcOuHLXgJmJhHe+ps+uTRFxLFK9LaHE3ORZUYOQgk/fXeWpY3WE53HqfI1zczUqVcVEKJisW5oVQ7MCjapgoqZoNhRTDY+ZSdgwmbB5ZsD2TW20XeXT9zXpd+tcssPSrCkaNUmjamhUEnw/4osPVhj2JP4mkCmY4kRSryreeGOfex83dIeSbl/T7nmsdjxml2pcsbfBO1/e5rFnapxabqCkAeJUL/vE2rlJg0jSHXi0ugGNao16dcgVOwbcdNmAM/MtTl5YxfM1Tx73+NTXagilHLiFHD2J1gAGay1JpNm9OeFdr+mzoam5bLdl8wzoxGcYNUgS1w2UxB6xdmydgTrRklgrB+ok89xT5tYiv+dxkhZoI5mbW6E5pf/zM08/2pvZtPdDhw8fjC699P9908Q3BeCzs2dprS5eeur0mfc9+cSjslZRaYTuin6y6Fwr8PJARqBTJk/SwiDfuOAm1JAYS00L588awVBLhkYSGZ/YwEK3ydeeMlg0f/NQjBDanSRryJBtSS0y4SoShZBIpUhiD2k8fE/SCGHvRkvdN9RCQy2EWiioVyWNqqJZ85hoSKaaMDORsHFqyLaNHTQr/MH/qHD//k3sm4GpWsreNUmjmlCrRtRrfarVGqGSKJlqcJwciGOfQV/QH2o6Q0V3YOj0jWuZqwecnZvgZVcO+dnvmeP3PuVxejVECIO1MUbbVONKBkNXxtroe9QrAbVqhVpYoxLGNKoRL74kIvBjbrgk4T2v7eGpJE0CGZc1LovyVNIZIxFCEvoKCBgMPZaWvbRuJ4t5HJh1ksU/LtjXiWsAzwFuClDnrxOn+TMMuOeWBx96VF7Zk+/btNy7L4qGT38zsPn/GuD33/1ZJpqqevLU0XecPnFUTDYD50MnLnOYpAD3UiBr7RoIEuWeu+Uq9awzuyrVgUn2nil+L7HuZ5GRJFaijUdsQnRqe5VveZZSgCeE0/0KKlVLxbNUlCb0IfSgEliqoaAaSGpVSa3iOYDXBZMNw3QzYWZyyKbpLts2LfFntxk+dudmdk4qNjQMzbqiUVPUa1CrahrVmAtLhmMXQiqBizsgq/QTDCKPvVsMWzYMaA8C+gObsrhktePRqFZo1CZ5z2vnOX5hlvd/bjue9LAYtNEkxjpHKVL0I1cU1atIagOPauhTDTWtjosxAl/jexrf13jSNUpI6dL5Ir270hVXB+RALmiZTCuncU0a32jjYp0sqE+0JDEuuM9A7BJJa1k7c2gymeKSTS647Q/g6w8+Ifbsbb9j1649xz76V5/qv+f73/nCArxZV0G3M/cLvfbsLygGslGTDCNQsWNpL88kWpS26BTYXpZNM06mmJS9dWpZ6ZJ1pUtWlnNH0sSNBWNF+pidoOLmMnkusPKkwZOkNeTgK4HvWecbe4JKKKkEkmqoqFYUjaqkUbNM1DWTjYTp5pANUz12bV7iocNDPn73NqYqIZsbhmZNOHBXJfWKoV5JaNSGPHQInjxY4+KNNtW9Rdq8P1TccJnlkl19Hn56Mq+v7va9FOQ+tUqVamWSd79imScPz/PggS1gFcZoVw6bWJLY5vUk/aFHbWCpVhSVwBAGPmGgCT3jEmaeKzFWyrgtWKQri0BYBIWeK4JzV0JsMkfKZParxKQSIys1LuvqNc8zcspX7ewxvSdZhtTS63clpy78svRqQaPR+E0gesEA3u/3ZRz1f/WBr33s37RWzgeBH7iSV1xjgku6WFQi0MqitMkli07B7hmRJhtECmqRA9zk4M6sLItJM3FZssJaW5qDMrriZqnqLKGjZJqxVODnRVsu+xcGikqoqIaCWlXQqFqaNc1EPWGyMWRmos+2jSs8eKjPr354M6fPTnLRBsNkDZpVRb2qqFegXtFUKzGBP6A1sCip8JVFyuKbZcCIk4BmNaaXGHpDtz9Pb6Dp9CStqqLWCamEDfZsifn1H27xKx+RfOPAZiwKY41bIXVClBiiWDGIFP1QUh0qKoF0lZqBIvQMvu/8fk9ZB3CVFrKlMkUIu6ZB16RxjLECazKgZ/mFIs/gGJ0896A1Y2AvSgOy5FuiS557YogTQxwbjIaTp88F1Vrj5/7FT7/J7/d7/6Farf290/l/b4APB22sjX7zyIF7/9XC/JmK5yksBmOd4SrTAqY4EWjpmFppB2KjbQF0U9xdQZDNQZ2ztAFrLDo/4KQsk8vtEv+Ql9pm5bbOmnQujqfIa8l9TxIGksBXVEI3kqEaWuoVQ6OmadZiJhoR080+2zau8uDBHr/yoQ0cOj3N7mnnsDSqknpNOvauWmoVTa0SE+uIj365gVQKXzqLNGdwmy3fPv/k9St86dGIThTSSwHe7Ss6XUUr9KgEIaHf5LKdCb/xo0v8xw8Jvv70ZoyVaOPS6g4cadVfxZW7hqGg4gvCwGU2A8/mGVtPGaRy3rgU1jVKZAAvUp4pyFOnxRRgNznAyacOaC3yFTZ7P9HFa63Tew5wS2IMOq0Zyv6GWFukUhw7frJy2xfv/tdvffPrxPJK+xenp/5+mc6/N8DbS0ew1ty8MvtQ1VcDRD5RyrhgToBMXCYt0ThwK5ED25Qfc8ZOX1sHaMfc2aNwdRRlcK/zvTKAZzUYKq8nF2kdeVZ3IvF96eo3AkEldDNPaqGmXnXgbtYjJpt9Nk62eOhgj1/94DTPnNrAjinBTL0kTSoe9YqrX6lWEqphhO8PObc0ha8ESprUliuCTK2dN7x1yiVP2nGF/tC6JoKBpjOQVHuKSuAT+BV8b4LLdyT8xo8s8Et/Dg8+uwltpAO4tsSJTpncMAwNlUgyCFQuwXwffI+01U+6XIAklSkg0scyxjOc20y2mKz8NiMeB94srshX23wVLgBtSnGWIzmTO2laZ5WfJo3dLN3+kDu+8kh11649Nwsp+fve/l4Af++f38Fv/LWo/dPrPx1Iu0IlUAwROCPMdb+7ThxXz+DARb5UaVUwdQbyHMhlGZI9z0FtnxfcUKSksypB1+Ym0rR1UU/u5AlUfAgDQ7ViqYZOP9eqMc1axGS9z4apFo8eGfAfPzDF/lMb2Tap2Fg3TFQFjYqkVlHUqoJqxV0cLtUf8eABQXcQUFGkF5nT4FkTgjaCOPGoVxS3XNXhoWea9GInU/pDTa+v6ISKMFAEfpDq50mu2Gn47R+f5+f/G3z9wCZiI4mNSZulix7MYSAJA+PYO61N8dOL291JZUoh42Sa5V0P5JTinOwclIGerbSjkjI7v1kMNbZqlwCepPUvsbZpsZzgzOwqf/zBvw3++gMvrS2d+WRvZuf3/O8H+MmTZ9i9e8fkH3zwM3966LR+xYaqQUnXkGBT2MnUc1bCgctpblBGYFRRrqkNGC/toE+vbJuxdgnQWRVgrrVxT8qyBJH2Asmsh1Pk4M4uMJVWDPoeBD6uEyhIC6xCTTWVF43qkIlGn6lGmyeODvmPH5jiyZOb2DLpsbFmmKhCvSKoVxW1qqKWs7emEiY0agPueTJgtVVhaqpIk2dgMak+jbVi04zitS/qcs8jxnXRRKYEcknFl1R8D98L8LwqUhqu2Gn5rR+f5+f/m+XrhzYRG484rQB0Za+OycNY5tWFgSfTkgmBJwXKy44N+ffLLsJMqoisKo0iIZSRS8boGfmYEcBTWo1tzt75eznAyYNlbQpwJzqz5TWbJjqv2P/IhT/ffcU/+alz586sbt++838vwLvtCxw+uPDz28PT35v0ukS+h8AtfQjjgJWyt5QSlSZ3jBJ4+R8l0F52IIolLQ9qTAncz8XcKdKzjFyuvWVWQVfo7qxi0FO4+gzP4vuusbgSGCqBplpJqFVi6pUhjdqA6YkWjx0e8gv/bQNPHN/MpkmfTTXNRM2m4E7ZuyKpho79K2FCLYxIzJBOFCKUxM8YPNfgqWY1aWYv9qkHA1cuEFWYykA+0PQCx+BhIPE9D9/LNqC1XL3H8t6fmuPf/Ynh6wc3ExuPoRZE2qQsLqjEhtC3BL7rXfXSuMNTrkRYSZken7QrP3ssFWblF2Y51rGMxUI2P2cmf+2kptHZipyZBg4DWSWjzq1hmwef2rjPqQSCc+dafO7Oue99o3jiWBTHv/S/lcHbK2doTG7b/eDdH7ymIs8gasIta9IgpERqSEQ6oMcIlDAkUqCUzW2lLKtpLBhNGpVny3bBEsaKUiBZZCULq9sWrF0OKkt9nJ5MKwalawLwlQN24Nm8erDi61Q3x1QrQ6aaPSbqHR48kPCLf7aBx49vZuOEx8aqZqJiaaTgrlacnZiBuxpqKkFCsx5x4KTl7sfqBFLiK5MGccWiny3fsVYkxuNVL465+KIux05X2Vgj71AfDDW9QcrCnsLzfFQ6E0YIy1W74bd/YpFf+m+G+57ZyCCuMtSSKLHUUust9HEg97LVy+S9rVLpfIVTUpQALkogLy2Ta0BuC4CPgD0jp1IdvrGFbDEFq5ctYZ0m+LKVQAgYJpJH959Fywev+cV/+xO7jxw/e+qSi3Z88wFu43PgTe5ZvvDA74dy7m3Nygrg5YxqjEULgTCOGbQWDtwlYJvUBjSZY+IVum0c1OVgcg2DOG5JGXwM3MIiVWYLFgOC/JS5A891CIW+IQwSKkFCJYyoVYZMT/RY6fS492n47b/awlNHN7AhBfdk1dKoCuoVkXvlznkxjr0DB/BqOCTSmkG/QkW5i0wKMVLJlyVSXKDpOS3vDRmmLWAFwA1BoAl8D9+XeEqhpJ8DHAHX7hX89k+t8Lv/PeHrB2c432oyqEsmtaWRWCrpxIHQt6n3nzkpNmfvTKpkAM+/b/qlRX7Mi+Nv05NSrKw2lyymDPxck6egLrH6SCBqSN219HfS+maLYLXTo3l65W2fvf0b+uYbXvyvnzo4d/Layzd/cwF+4tRhhKrdlLQef4dKnmCiUU8DBJnqLlmqwbZoJUvOSeaXilLknT3PDoxL4IxovTWsPaoKs5Pgxj1k7G1TeWLTqkHH3K4L36RjJnQO7jBIwT3dZWGlz299tMbnvrGRxe4UGyckGyspuCtOd9fSwLIaSmqhTRncae9KGAERdz0RsBIHzISM1GMjRlcorV3zQzP0eM31PR48FNGJQyZiwzAdxxAMXa164DmAe8qipI+QLkGDhct3Sn7vX7S5/cE+v/nBzZxdnKI/6TEZCBqJoZZAGLvRy4FyA438LNCUIg+Cs8dyoF6+MIXIe0VGpErWKWTLLJ7/nbakze1IMFrOdeiR9zM70j2PtMcXHzjG5u0b37Fnl//R1dbg5DeVwc/OddgwU7/kjq988V8O5u/j1VdHLLddTXZeg21MmsZ1gFbGomWa9RoDeBF5i1LSpiRJEKklNQ5wWzBK+iiFKcZLiDR5kUoTTzpge8qB2/c0ga8J/IRKEBMGMY1qH8/rcc+Tmj//QpPb7t9EZJpsago2VJwscRZg5pOr9C5S5i6zd4znDXng2Ul6kcfWmk0zhuMMnsUdrja64ituvqJPYhzA+7FgkLkhkRu55nuZxalSILrsowObYMOk4Htf3aURnueDX+hz77MzzMZVehVJM7HUPetA7qVxiLJpXGJTkKfEIEQax5Ta3UQR45TOxIhkyQFeJqgM0KUVWecB6CioC/kiShlsV7471IKlgc/5C/ezsbnpX95w7Xc8bu3qESH+7gaJvxPgUe8oi7Ofpadntl2x+fFXDsMLSDVBGETOKdGeW2qNRGuT1iukfrcsyRFbJABsmg0rpIhIlyRRLE35wRvNrzlw2xFZIoTN/dxMlqh08lXG3L5ytRihHxMEMRU/olYbEAQ9/upOj9/5i00cW5jGDytsaQimQ00ztNRDqKcd9tXQZTsraULI1a/odCVw8mSxrelGAYFSBNLmAWb2Z1iK8oKsXiNKfKr+gC2TfVZ7DfqxSMcyuFjB93Vq86nU7lQO4COBq6t8fNvLu9xw5QK//ZcDPvbFjSwndXqhT92XND1XgxN6ECjyZggvS/qkK5/MpUqRAEpt/EwY5ujOmXyM0csSM5ctGZBtYTDokp+us+pT67KfsXFNF10tiJXgjocHbPir06+8+rJ7ty2urBx59MAZXnLF87sq/xMMrtm84/V7Bu0n/mwmeAK1ySfRmsCPc2AlUiK1QkuJlhaVAtwB2xTMnQLdZuxdCiDLz7N6iPGbKDG4kNmICfIxEypncFNibp2CPCHwnCQJgyGh3+fkXML7b6/z2ftmOD43RbPmM12BqVDTCG2aes/ALVNwyzwpVEm1dxi4C6dZH/KZBzyOnKpSScfL5e1iFCi3pRVMa0mceFy+G95yQ4c/v2OGbs2jmY5oCKM0blAGz5PO/VCUQO6XaNWtCrs2SH7xB3pcs/cs/+22aY7PTrCcVOn5HnUlqKVAD6R1F07qMqkSSWTBuhAuu5HJFfcnlBq3x0Bux2SmWecxd85swdwO7GnNSlpsF2noG0FXCxJhmV2e4KO3n+I/XfHiP3v3W17+prml9t8pVZ4X4HE8wPNCotW7djD4xr5QnQfhA4n743JAKRJpnFSRyjX5GoNOSy/L4HYAZ03HjTsoo8C2I8OA0gMqCmDnM1RkAWznmmTsrfG9xHXueAlhOCTwhnR0xPs+GfDB27dwbmkSo6pMTyimA8tEYKilzF3L0/cyrVNJpUnqnefgDlz2chhHHDkb0o1CpsLUxcmSTpkrUVqh8pqU2KNZ99i7I0KFAzpRg34gqMaWYQZwT6eJGuV8bJmVAK8XvCo2TvT4ybf1eMerZvng7W3e/+kZFvt1+l6FiqeoeYKqsoSJdWwunVTxZFHekK2Ka5i8dC6yCzY/ZyVwrwV6URg3IlFsweBJKksiIxgY6GtBpC2YGETC3Pk5vnzfU/uadW/Hu99448koGRJ44d8P4AeOzxOGExsXF2qfPPTU/f4rXpQwVdFUAh8RG8gYXBikcAxuUi1ujEwB7kBedNlketvksqQM7rUlP1loWfRTZsAWoqy70yo5pVMGd2MnAj+mEkQEfkRrEPHAU5K/urPJp++bYaAbBEHATCCYDAz1wFILLbWgAHcllIShJEyliUsMpc5ECvDAd5nPExcs9z5aI4p9wrpdE2BmtyLN7Y5NFCt83+O1N3T4+Fe6HDpbp19x816GviVIwI8NfmRQys1pdDJCFsN9KACkjZOMtdBj82Sff/fuHlfsGvKxOxs8cmCChX6dgQrwfY+KJ6hKCGVqo2b2qrRpTqOsx0eLsnKwjzlcebYzfXOExSEtxSgDO+0HzZjbwsC4hhdtDJgIkiET4ZANEwO8wW3+y666+pOw8CLi9sLfm8Gv2DUlv/yNIzf9/kcfmPjaw1vYPlnnp966xD9/Z58wNIjIkgiLFAatTD7IUmWsbUcfi8mxspAkGVPnSZwxgFvchYR7FHlK2eTlnm4ClsVT2gFc6VyOeF5Mqxtz/9OCD9/R5M7HJlhuNZDVCo2qYtK3NANDzbfUAks1IGVtx9zVUFIJFJVAUAlIK/RMCm5D6Dv9rbwhh8/CuVbFJVZSfTuaOClmi7o+yLTk1EiiyGNzU3DJzj77Tyf0Yt+NaYghiEine+lUomSJGpBjnTl5AJ/akLF29eHvem2fN9y4wlcf7/CRLzZ55ECTpU6NlgzoBh6BEgRSEEpcD6e0eGkfbXaRKpGW/Y4DnLWnjDKDQ7FyU9iAJgW2NoLE4gJKK4gMJNZitXbMnQwJRJ+f+M5lfvzb+0xVfcLotonWQnCTqLzoDp5neNDzAvzIiQth3Td/Mlg8V6+qJkfPhHzsDsNLrxvysquGWJOdPIM0rktEZeydTmx1wC56JK1xsb/JQV262tcwd4nBRQZsWwSV0qDS7hQlNUpqgszNkDELnYR7HvX4wv0NPnfvBPPtOqJSwW/4ND2Y8F0nT9UnlR1QDUR6l2nJaaq7A0GYsXcGcC8hCBIqQYS1MXc9FnLqQpUN0wJfmnyeuRRjl60lLz/VqaToD312bxa89voen/1GRDf26ceCim8JEsfiw9iWVimV+9UIOSJT3L04Dy5r6lENh7zr1X2+7YYl/ua+DrffX+OepxrMt2r0RUA/8PB8hScEvhT4UuKnoz6UsEhEKrns6N80DvTS+XQTtUryhCLQ1NYB292zhud0OJNNwW0iiIbcdE2H97yhx0XbKpyfm+bMsU59+2Xen/jJ2SuA/t8L4IePHKLd7jHh9ZiuKlaGHo+fCrnvqYBXXN3B9+K0ltjDGI0yqf5OD667asc63BGlk5CKDytGAJ6/yu2pErCFSZuHDSIFuOdpAi+mUokZDDWHzsHJ84pPfHmCOx5pMr9SB7+C1/SpKUnDtzQ8Q9W3VH2o+A7cFd/NJHRlprJ0F+nPbQpyk4M88F172rHzhv0nQvD9dJm3pRT9aFowY7a8zFQLEu3GOV+9d8iVO7ocPFejXxHUEkEYW4aK1NozKXtnbkpmQRZaJffZs+YEo9LpAz6DyKdaHfJDbxzy1ltW+dKjXf76KzVOnq9w8FyNaDUkCT0GnodU0qXzST+PtPQ4k4dkAbQdZfOSZBkFdymwxAE7c1jclN+swCUBm6QAT0DEvOy6Adfu0XQ6Ad1+neNnoCNO4AfPv3vEcwJ8bva8GA4H//K2v/3khusv8+jT5sRSBL2EJJIQWqSJ8awDnUkPpAOzzIGeWVgFoEXaEFw4JtmVXjBCprmzg5fepfssKRxjh6GbpJpozewSfPlrHsfOVrn7oSrnVqocO1+HMETVPCqeou5Z6p5xLoLvBudXfDeuzYE4u8v0rlKAk2ruFNy+JvQde7sLK+LEAhw4WcOXo/ZgLlEo6sFzPZrbp66nMUl8rtzd55JNPZ4+ntBLfBqxYOhBkM4EVCWASylciUSJyYGRQC6XQWnfpOud9Bn6Ac1qxD95/ZCXX9Pm3Eqbux4OOH4m5EuP1Ti/VEH3fYz0iAMFUqXBclrvD7lcyR/XYryQZONJITKmTkGNTp/rFODa3XUCQ40fGLyqxht2OH5hiieOKBoXDm343u991788d+7ce7dv376eCHhugJ8/eQ/G6O/d2LxQ3/fiAa+7ZZEfXlrla497DGM4ctJn786EwI8xsU5PljuANge2KljblAFODvR1b3nEbvOh9NldKY0famJtOX5GsP+44ssP1Xj6RMCzJ6q0hyHDKAQ/QDV9QiWoKah5hmrJBw69rE4jK5t1deFhKkuCQBEEMr0AbKG9fe0yi77T+ZUgxpqIuWXJ0IZu+q20eCWbbbyuIzuvmcuU9ThGiY/AY+N0hFQDurFPzxPO6YiLgjFPmZEMpBQleGXxDSIP7HVWFpAm5Xyt8vETvWHAlqmIXZtjXnzRkH7U55+eaPH0yYAvP1hh/4kKx0+HxImHDRVaKhASnf9xkrKYXHsuGUtJ29Kj6+TPAW7S59ljbPCsZs9FEYEn+JNPVbn70QbHZkMqJmbjxPl6Y/ob36uUeu//EoPbzkfo95fUmRPHxSU7F6iGEZunh7x6asBlF8Ov/5cJvvLgFC+6KuYNNw55zfURGIsfxFRrccrQEoxAJ85ByaSJu6qz56OpsWw2uJCuboRUjsSRpTdwy+DJs5L/fmdIL1Y88WyFo2dCFrsBQx2AF4DyUU1FIAVVBTVlqSjcODOVFh4px9qBL1zSowxuXxKksiQMIAxIXROXMvc9Q+AnaUY0plqJmF/RfPnrDVqdkKkJgSdNXjKQ4WDNMc5W41yLS4ZDxYYZxRtuGfClR/qcbtXp+9LJFA/8xOLHmWedeuxSO7uQ8qwTmX+GsV7pMxzQA63QniLxlRuIGfvOSvVj6kHMy69OuPmKIW9/5YDDZyRPHvDpR4qPfbnGiVkfhKTX99CRytumrEeRDSqf1xzgmTDPUtTuAIjEIoxxpdbGUK1r/IpGYHnN9RGvv3HIi66KWO5Kfu0PJ3n08ASyUWXrhNvrtHPfMXHNNZeoX3vf3ya/8jNrh3iuC/A4Ac+vvW/r9NFr41obIQR+0GeYGJ45UuEbByrMLSkePlDhU1+us3Ha7ZJw/aUx73rdIK//3jhhuO7qmHrFpW1J2Vusd6Uj8uE8rZ7gyad8ltqSagUeOuDz+fsqDGLFIFZcmA0wwiO2Pkb44HmI0MOTkkAJKtJSSYEdKkuorKsB91LP1yuYO8j6MnNwq7RHU+TsHfiGIMgKtHTO3kEQo1TE1x5XfPYbDVTgObttRH8/N4PnnTA6czwUg4HPW2/t87kH2nzsrgm6SYV6qsP9TIfHWcbR5t1CQsgcYO6jZEnrlwBu0i54zzG57ykSz8NLtAO60ijlBulPVRJuvSzhlstirBjyzlf3GMRunNvf3hfy8IGAaihYbCuefDqg3ZOpShoXLCmgSyxuLdQrhuuui9kwqV29uLa863V9rrs0xhrYOKWZnnaW7IUlyVWXRDx1PCZJelzoVJm1FmsXr331K170PoT9yf8pBp9f6uBP1psf+uu/uGz/k1Z9/+s6TDcsK7PwwdubfP6+OnNtHyqSoYW5VXcHy+FT8Pm7mu4P0JaJKc1N18Y0qu7LP3cfDjkCpBSsdhWP7A9otyTSUwyNZGg9x0zCw80F9kB6SCnxpXBglpZQGgLpgBAoCFQxo8+BvBiT7Pb4kXnjcRncjuHTslo/Y3BduieEXoy1EecWA6JhhXBCEqRpb5VW5Y1kMbOOHijFJuTMqo0iin2mGoqdGyICMaCfhPQTQdVzQzCzGpIsoaVkubxV5p/lPiNzskxpCL7Jh+3k4x8SneYNVLq5V0KcaFScjrBWGikTdmww6YphuGLXgMj2kJ6l1RI8st9jtSdRuWIZDapHqcyV1NYrcPO1ERNTBqsB6+SkJ0qJP+3mqGxuGn7tJ1rcdFXMn98+ZKnjM1FN+BffLdTLbr7qsmuv/7Hmz/3watsLRutT1gD85LlFzs+vvvfDty2++mv31fjQ7duQIkFrQavjo1Gks8SKJSnVWAnQyjSWtLRXLRe+tt4VXFq/hBh7LrBCYLItF0hrToUEodKgSqJEOsBTWkKZpp0l6catmW9cevTSTnpFuvUeObhdW5cbrh8GgsAjLzF1DJ6yuGcI0uyo78eEYcyZRcNffqkOXoAvRRFg5vJkndrqkkecDQl1YFNo7UD+njf0+Zt7+jw716CrfWqJ25TWVQHaohNHZTmBItgrzksmhWSpwCu7m7wWxvMUvnb5A1cvrtLEmUuaubrx9LnI4iGNJwzCGjbUDN/+MuOGL6Uy0z2K0nPWxlxWgFbYROUzWXTiLMPyBSIwCG3Ztcnw0+/o8QOv75NoF+g2q4pEHXp11DvxXmyyZgu3NQD/g498FSVFcOTkAtavsdjzXDQL7tISae/lSHCx3rXq/lCdlUrYtddxwdwZw2WPMv8cId0sPYkr7fQFBNISCCcFPInzatPrzksZLi8k8ijNQclYu+iqLwAuc9kSBjZvaQsCUxqck+Cn7B14MVJGnJoVLLQrCM8jlIzIE1n6k7K/OFvHyhWUZX3shlb6zDSH7N7S5+DskL72GGgI01mOfpLq8CRLp5uil1KoEdIosomy1IBQGpumDZ42rrzZc03MnlRpsZpGKpOuFO6eWbPuM206Icsgo2xSli1lOzP70K7rsGDL37HM+OMFdk66Cu0+oxG6f8FY6UZpD8+TzP1NsF6+Zw3Ao/YhpACju04GCFmAU4wB8e+8PZckGS9oEPmq5lhIpEt8ujmUAE/YNOlg8xqP7Hn+3hjIsxERnnKbS3leMQ/FgVu6xyADehZ8puDOun88k0sU33P6NAhiEmJuf6DK3EIVf0IRlGs4yg7K+NEaqbQTY0GgYjB0E2zf/NIuDzw1oJ1U6Hke1cQQpen0ckFUVnDmmr2zT8oCzaKYzVmH6UwVS16r7xlBogSelvn+o54yJCnQi2SayRNsMgO5LJyuzPXKUvprAW7Xh03mrj0HhooK0tF/x6bZ0U63z9kzJ0ZqltYFuO18Cmr1l91/12dvOHiqw7mFCbcrEyK17kQ+76/8ddYziZ5HbY+cdFfTXTwqAYrUZhOlccul5+4xK40lBTn5KIQysPM5KIqRXdpGAJ4FnJnu9jJZYlO9PVpLHvgxgR8x2zI8drQKXoCXyhOvVKCU/V3jfOBcpKLqLhuLkWcdtSKOfa6/eMjMZJ/WSo1eoqgp8BP3t6h0UpiKywB3WeX8o7IEW3lalbFFCYVylZ6+EWglXbmFEiRKplZkUbyWlUNkwFbK5iyeDzYtJeREGdwjj+sgZD27WJSPVva6sI+zfy/wE2ZXOnzoTv+Giy79npf96h9/5/2/+s9ftz7Aj56JqIT22+/d7113YtaCp9wMDQGyzLK5YlqXk3MQr/t+CeCy9FoxCoxs5Fp2z4AtJbnHnL3n5S1qBbCVdLJE5d0rBbCz5lvH3qnm9sj1dmYJOsYuwO3n1Ykxgpjb7gt54OkGMvQIpHDzt/MKwnK9ermOuji9+Wi0UlGaNm7AZX/gc8tVfd7y8g7vv61BpEO6WlLRlmFSuqhFSaZImbJ4+aOei8nBeDIva87ArZVEKeMYXcp0tEQBbidP0l3w0pKJovht9Hmezygx93osu26JnVjnZZYApLiYpYSNEx1uvbJznWrOfzt2eH/5/8sBfujYOSYnG2/487/+0g/84Scl7WiKZiCdpqTYrWsEqM/D0+O7CRQXR3HYsxPhUr6j6d+iHLYYvVZmdLcFCTmbe1kHvXLPR1g87Ybx1Si43TiFMeZOezaDtL3N97KGg6R0j4mI+eu7mmgbovLsZTnALPoa881tKWnwjMXz9qx03p/Ogk0Pgc+7XtPjo7cPWTUxfV2hrwV+Qs7iUlpkIvKiM2cXjmtRWbImyyWrAu2lHfAqBbnn6vk97RhdaYuSMgV3Ni3BInXG5gWg81VEPg+Lj4G3DNx1cTR2gRT4cp+htetpfdP188jm4g9s2f2Ou7+/c+ZL1cbOUYBHUUR/MLh4ZXmwT3eHbK+HuOoBnvfDsyelFaV4L+0ZzEBc/t0RJhdFKazEyX5VYsCski1zJrKxcMU9ne+hRK7Fs9EII8NuUmB7ShROSm4Huo5715hsU+YuAkyvxN6hH/HYUcmR8xWs8lFSEkiTyqjyylP8sWtqNUY0eLmFT+SOSpz47NsWc+VFXb5xuEqsAvqJoCLB1xYvEenOGWkXTpLqcKRzHsY4smBxUZJGWduYyDuxPGXcLEmT/vvKlsBt8pmGUsqRbiqRFpgV4M4aVMq6fNxFtHlJRl62wehaN54oG/PhgAo6iZmoRfuSZHCx0fGXsp/nAJ+dX6HbHZAMe8xULZ6vi64byi1k6wB8jKXXXoElYI9oqeI9WQJ0Bvpsbl55FEQmU5QQrns+A3va6ZIzuSzGtBXbf6fMXRr+47rtyYGdZytz5tYEnkvsuK6gGEvMp+6qsbRURYSe891LK8uaGpTywSgdz6wftVzHnXvTRhHHHhumJd/z2g6PHW0y1BV6KqCqnRbPylmVJAV3tlaY1BPPyp0A5Gj1pk3bCfMLrNzhLlHGjbyW0qKMLSWWZMHcpQm1MvPhS80o5fr9nHVzLBT1RuMR23OV4Y6AvFRqbYwgjhVeL6bRX0Ang/z3coB/4C/+BiUli8urTNWlq9vNhres2wC8/m2k42PsvXFQr31e1E/LktU2+ryYxiTH2Ls8QdaxuER5owAPvHQAkJ9tHZhmOD2Ln6fiTfpcj9w95Tp3nj0Fn7yzwVAGKKnS7OXohTiewXwuQzVn8ZKbYlIGT7RHqD2+5/UDPnxHj6eOV4mVT09KAm1S90ggtS0dM4uQIg/E3M2knzXaRVVmcm3c5gTZpAMv3bBASSdTZO69p40QsmDujNWzBpRyY0QZ5GsAPn5shOXvwna5pTFf8bQk1j7xhaOsrsxjbSHRPICz586zfdvW2m/8zn/d+0RnibgiiNNdF/Kt+OwYi5ekyPgJHAd5uWG1sAPHAC1GQTEacLpOb1UCUQZmWWLsXKaU5hCqjMHTJM8IuLP0vZ81Jpt0u/AM3FlPZ5LeY5QfceScRycKQHmpPLFj5bFrL94RF6Wkh+24F5524xSJH4+6L7hs+4CnjkRoE9I3ARXtara9VIMr4QZYusRSBhRDIQ5NfkaKYjhXD+Plg03de8qAlg7wKt2dQppiQoAaAXcB+JFuK1k+v+swuFjPHSld/uvqEide8va37HglkkEkMD3JlL917yte/xO1xYWf7m3YuMUBfHZ2jk67/fp9uzf9/DPPPEOtIhlGlghIhMWI9GpPP+M53e0y2HNdXmio8g5fuTTBnYPykl4G9QiDZ9JElpk8HdOW1UirEqjz52mSR5F64Q7cDsDFUCC/LE/K7K3Svs4gYrlj+C//o8FSv4IIfSdPpB1ZVYrBOc+fLcjLR006JqPspqSp+yTxaNY8fua7Onz1sSZLw4BIevSlJEh7KLORD7ldmBm6qdOQldFaTApug0WOOSsiZXCbz3LMwK6kSBncSSI9DvCMvaVFUnRdZbGXWIfVGcFC6fUIluzY8RL5ccvYO9Ey3XVO0epqmps3/fyJ40fuj6LB3+QMfuL4YcIgYHHhPJWg2DPFS9W+A7gdZe5xcJeejDsmI2w2wuBr2TsDR3nzUhdUFsAuv3YHvxg/pkqg9qTESyWJlwM809wmDyp9z+Tg9r2s/mKUvX0VEwQRn7jL55ljVZA+UkpCWXj249Zm9gc+ZzVhic3znSpKMiUxruUsSXyu3tfjbS9v8+E7KhgvpC8DQinypI+SglhkI5DXMrkoM/lIH2xRE2MUKOtWBWOFA3dmwRrQOXuLPN4QJQ2eB5sjboor+yrOfRFUjo6iGA0mR9h8DGWjABdpqbFiuaU5euws3b4kjt3GEB7AxTtdNZ1MBEePGlY6KpcjSjgCkM/H3Nl/spVlXI6Mg5v04GdgzoCea9fU9sqkSc7aIKTIB9qvD3BZADxP9GQAt25OdipFfFW4JX5pOFChuR17+56bWrXSMvzt1xostkKopO6JyOzB55YojCXGymU5a2y7fBJBuieOVsSJx1RT8R2v7vG5BwYsdUMi5dHXMrUnRereiMJulWVPwgHb2qLrx+RsXnS8e5mzotLnMn0t3U55jr0duLXMdHh2rjLtT/FaFK/FyIVXZvMMQzYnvqwPtzBWS0CzIm2WyNoeBQgXQ3V6ho6xiIokjtzf6i3O7yesbNizPHf3z55b2M+BcxAPnNOQ+9TjhYBi3aeleojsUYyCnNLJXzM4UxQJEpkmlrIBNCXmzkYil2d/lztc3HB3RsGd7WyQMbcqMfcaBs/GTRQjJzzlMpcnTgoOn6pgCBHSy5tzi+rB0YlQI50uooDbiCuVOxujOydkjooxLtjEely+O2Lf1gFLB6tYHTgW106meCUXpwBQudArazCQ+XdwukiUgk8wspj1PRLbpECX0unzcm4iOy+5BpeiFGwWupzS9xkPQrM8QeGwiJwM7RjOcnc8JV1PGaphxIsua/PV/U+zTe3+2e/8zlc+ccszB056p2cVUxPJlnsfq7zh9z4+RMcNNlSLPyDTxOV8fPmErQvwccYelytjcqQM9Gz08cg435zFR4GdPyrSUcBlH7x8T7e0VmVwl0Ce7lfvp6WhGXur9LXnxSgVc/s3GhxZrEJQyBO/ZF2W/7Y1x22d2+iQ0aKtL5vzWNbiUeRx0YaIN9/S4+Fna2B8Eu20uK/TIZ96VCrlq+TIRMEU5NaWJEpJrsj0uUxXFZnd3QBVaWwOei1L8tHYPGYSJju3tnSe7cjFVsw9tGuwMp4QGpG/OdoLm1FJl7LfN2OZaMyydV/yhooabtk2rU96w6EgigStts+gEzLTdFoq+wdzNipLEUYBWwZ4tsSMWGQ5iEeDr5zJy85JPsC+APv4bg25DleZi1Ia5p6BWoLK9mpXxf40I8D2igFB+Yg3z6QgT5w8UTHVWsQ3Din+5mt1+oMAah6eFPhiVJqMB5ij3v86AGdMf49ZhmVfPE48Jhoeb3/VgDse6PHQoQBb9+nrEF+QX2iqLAFyByNf93OQlw05F3ymF5hybK6l0+MZwLUsAk732ubnJ38+FjtlUjOTaTmrU/6OKVGOWIjluGVs1wkxijXpeoEwRtAbhExWG0zXPQIPpBF4/SgmHMYkOqHuu2bcbGh7pn3Xauj1T94og4vnADkjf2RZdxcBZwFslS5/ZYmS3R3A0+SOLAVEipHhkp5XjFD20k2YPDUKdD9na3dXqXMSBBFxpLnj6zWePV0D30dIRSDIN5cqB5eizORjRFCOm4opA+nQylIm04Fc5lo8swujyOOKXQlvfGmXJ09WGSYBWvr0jSLQjH2XzAtnjMHdox35HoDKLjaDUQKVzbCRAqucTM2kSx77SJDWpiOzU61tyuexNHg0C7xhHZLLSHTMTRmJ10ZBnmMvPd5xIgEPrRTWJGCHYCO89//FbXhK0Wq1mWwot2lpuuyI8tVYZuiRDxJrADwO/vIY3vIflC3hcgzgOXOnDbW5xhuRJiWrMGPsHOAlcKvR+eCOsW3O1F7+WDz30+DSUzFhEPH0KcGXHqjR6wdQ95EiqxykZA+uk8UsrX7ldS+rRXEIEyOjh9ckfEoFWFHs02hEvPHWIZ+7Z8CTx0PwAoZGMtCpo2JA6Uz3pt9Bk7oXwg0kGQ/e0s/2FIV0kY7Ns1Ulk6w2NRwyoGceuMlWrzH3S+Szc+wa+3TESi2BfK1RMQr+shQcb8lLVJXzpx9leeEgxmg8GS9hE0EoYqYarr5vVBOPy41y7fY6DCXW/53nCizXY+1Ci5clisjT81IU2cwya7vpVhngHVurfD74GLjTu1+qf3b2YOLuaddOYjW33V/l3qerUPFAuoZmP0uTl0HN2L38Yj2JUmLQ3LbLG8tFOtpMjgB9OPB55dU93vyyHs+cqpAkPlYo+sLD1+TfSeiS9h25tNYyeXmcg1KFZWisSV8LpBFOh5f9/ozNrUh1d8baYzHUGCjL8mRdoD8HYa5nLxshENZtOixiN8mh3UsQsgcYvB2bAzwp6fTgghmSGMco60mN9b4AQqxdNsY19zrSRKw5AGWAi4IdMqCrgtmLNH3prgpwZ7s65Hev2AQ1A7RfAnXmnDjHxD0qFRP4MU+clHzyrgYQgPQRQuHnyR2bF1eNkkGmIdPVLV/nSn5ABqqyDjclDW4FRrvWPTeFVuXpe2s93vWaPl/++oBHjrlJArFR9LTI6+alIE3hi3y9KEnY/LtYa508GQE6KEbZXEqJKtmZOchLbJ4TUxqDSW1zyTbC3mMOT4GNsiYv482yXvxmRlYoV4owjKA7DElsgMDgJQkYme6Cltqkxj4PAz+HBi+Dl/H/p/QcSrobkW8aVciWEsBHdHfhVoyAW2W7OWT14Gn1Wz4AvwD3CGuXHrPG2kyqKJXg+wmxTrj7oSr7j1Zd44d0wWUgbGlybInBswt2HQ0+Di1bepKXztrRGotyrYVRqaOiPYaRz1X7BrzyJsfife1YfCgCBgY8nQV0aZ0KhR4v2RBk3e35Vxnx50Gq0nNrnFSxLi6y1gE5Y3GRSxZyNpdCkCYti/T9OMnlgF9v5c9kydjvj68IKQCzAfueMijhlkJvcTVBSEESaRJdVOytJykoCX6R+ZTlL5DaJ9mXzYBe1tjkQC6xfK7fSvIkB/lo/Um5qjAHdsbaMpv8VNbfJXCXhuLn7knZDszkiXJVg0cuCD5yR4Nh7EPNT+UJeWtaVsI7YoGVjtWIXlmjT0aBXpYppryrsF1Pi3vUQ8kPvrHHbffWOXTOXXzaKHpauSpDLfJ5ggiL0Km+1aMric2AXmJwZVO5Yl2Aaa2zB7Pg3koHdGnS6Vo2PUempL8zMNusxl+U9HhZpowBeATgGYbs2MWQ5hjy1TNdpYTLc0xUXCWotRb1W+/9fzYLof7vI0dPXu5660ouRc6ixWtXLlkK9kT6vKyTyz9Xbnkr/k1Z+pksjQOWRSay7IooKG8FqNKRCX6mtbOA0rMjjkk2AaoMbl9ZPD/LWhbFVEVDQ5w+RmgZ8eHP1/jolyYhDEFVUMqjpixVZdNxFOQNzn6pNa7IpJYTUZJiMiwjAWr2t8pSRjS7aIUkbfwteiGVtAhr2Lkl4tyi5NH9AUk6dcCkTcdZ+cAI41GQjs2irZH0tChddSJn89ES0jHdPiZtDKJ4r3Qf3349c45G5lQ+x++NjP5bs/teMQJQCIeHwNNcctmLtlx57a1f8Z4+eHpybr79pl4/YqrpF8DOZIMsrjA5wuRrA89CnpSXlJKmypi7JEmKYLZI6oyXyhY+sx2RJzINKqUsJIkqaW+V79Fjc6D7aq0kKT8qFeN7MYfPSz7+1Rpu/opjb6e9C3BmHUb59y0HRzC6+mUvclkyBg5Trg0p5gradICpzoaaaoVWqRbXHu9+bY/P3l3jwFkfZIQVkqH26VGSCQKETkGqs8RPBtYSk9u1waeyZZlSuovsuXNHjBF54OmGmo3ag+OGxXgQKccl7ogEtmP/TyEFTWpFWuHUgysiG4BZflO/c3zSq3gR1SChFrp6jXIZqhwDePkD1ujskhZn5PfHwTwK6vz5mL003uggyxV7orSnTAnYWXCZgVxlDF6SJSp9rpRBeak88RKUTJz2VglaJXz+/joHjhTaWwjpEip5Bw1rTuBIPFJeZsdUyigfFg3IlJhtNOHjOt9HJvemUuWKi4e89WVdjn08JNIKhIcWHgMhUlfFknljRS+tKH2LUt2zJa/zUNZZmFibf8cM3MqCFbaoZRHunFgr3PO0gLEAoVgf4OMBI89zDEcC0fJxT2MBWUgvrRWLK4KhAW/DhIceKOpVt9XzSFCXmfRrrqwyg48HnmuBPAL4DNilYLOIwNcDuGXUOcn6MW3O4muAPfK6CCgzrZ1vcSINXjpXPBuc7/sxxy8o/utnmgykAzfCK3XNZ0mwooJu9KQVgdLz3Ua3SSy8cDOSsi9r8HRuipIoo9DGI9E+oU746Xd0+R931zh23gMZg/SIjU9fCJQu2XdZsJl/QTvyhWwuL0od/1agcMe6PAzWOSjGaXFhMRnQ0ufCFMVy40B/zmBxBEejr7OciViDpfTCM0V5QRwrlts+ET5et+/2Rjd2tGmgzLBZb+FaF6XM5M8F9LFgdazibvz5aGBZmv2Rb5BE2ulNOuSyYPEC7KYAdwrkHNQjfncqT6R77XsR7cjw/s81OTcfgnLyREhZWIPZ9xQlO+45TlTRbvx3AJ2yprRF2awtmk3c4J6SJ67dpFedeGzfOOTH39bhtz8S0IrdqGMrJEOjnG2oSyaATgMy1gH5iMMCSFvqPHJVhBYnB5yjYp11mJ4jm9auZA6OERaZsvra8z1qIa+XxMmZHPcZ48ye+eDOybF5G5sUUA0NjarB6w8Ng8ikmSwXGJUtusL9GK2MG7cH1+imEqjXXZrW0WbjYC72viRn7XxcRHqXyuZF/yoHth0BdCZHcomidPq7ScrcLmvphTGfvi3kzz7VZGh8J0+EQgpJIFjbVLxOWr5Y4UpvPgfEbUklFFZhWZ8Xs9XL2c08hW/cVuAVL+En39nl8KmAD37eaXFQaCEZGNe7KXV2nsoFWNnJsqXPtCOBnEpfy+zR2DQnUdLmGbhLgM6OkRWZW+JWjzUs/pyyNxdO67gra7Gk0iSUTzr3PbTUKgYv34cmdINwPEWeIh8NEAtwM/6h2Rfkub/A+PtlgJRLPPOa6hGtXZYpNu/0lrLQ37IkS8bBXViEZVswKT26rOXyCvyPr9ZYGWbgdgD3ZToeLltBpF3noixq2ymdnNEno00OZQanVJddyBPcjG9jMcaM1olLme6o4ZFoj4lA847X9fjs/TWWOspJFaOI8ejlQVkqGxivtV5HrpRALlPLEJum5HEWpJXFipMD2haaeo1lyCjYM6IUiLwDaBzs6+db1mp1nX6OSUd29weKYKDwGlVFVPeYqHuEoSrJkSIYyUko+1DEmitszRJTen+9dG3xx9sCKNnBKDG4ShMEeVe3sGOWWgHqItAsgVuZVIIUu7B5ZT2esrdfS7jtaxUe2l/FZNpbpj2XIpMna4cTrff3lp2T5yfxlD1zH7wAzGhzcMHmLoUvUbbwxRPt45mEm6+OeMuNPf7y9gBUBEJihSAyHn0hivkz630dWwK5dIOY8sAzCz4hLcJy4DQ2PR7WyZZMA2fn1qZEZWwG6uJCy5NPGbOPALu02VUJyOO4K/Ftfg6y1aTVFahA4E1NuFrI6Qk3ubXMLiP/1DqstGb5WOfKyj+4DHZhx0BegD2vZy7Lk4zNVXl8QVmqmDx7qTLNXZYn2cZNSqc/S6WJdO5J6MccOy35yG0NZjuB2+9aukHvSlDs2LCOrBqRJiUZtx57r8EUBXuPesejM0xGNtAt1YkrmT267U821zU/9JYu9+8POTYnQcSAwiAZCrfXjtTu84q0ePlkFzLJEbkDrSp729LJEPfoLEGbPmbgNrIkT2zB2CLt782TNKWgd001YQngRUGfZc1hFcWxzC7GYaRZaiXgGbxmzWAiy2Qj3adQs2Y77XVvYvQqKmskGE8yjDsN5fT22GajeRF9uakVl+AQJeZWdg2LF/P0zIjeLjsmnkpQUuOltmAQxAy14U8/0eTex6rOK5Ue2ahmP9fehUVZLPdj8UX5GJSORWkBHAH3aAazqDIsOyqZF17UqMh03ne2wa5Ca0MiPVTi8coXR/zEu9r86p8GDBPpMlBGkgifPi4RVxDO2spCW3qdlW5YbF4+SwryvJQ2197OjLDSIlKH0YyTQQZkafPAsThuWdY1O26lupSRyVZrGaOoxnTTczvdhHZPE1Q1Xr2qSYaaesUwSNwIgmIgTUkrPseVM87eo68t68kSUQJIbvXI0eflveeLITMULC5K8iTN9K0BtzS5HFFpMkeWXiuZ4AcJdz3i89l7awwjH6perr094eaPeyXd/XwlsdnzMqBHi/dHEV52ovO9i0bADVYxyt622LhKGoWyJh3U4zrwq7WEd7yyz5339vnyIwpUDOm46wSP3oicysC8DpNTBLwK53urnOVTxsbmDRY2B376OrdPnXwpnBN3MayVtM51GcdPzt+idOBGSMIWMs5YYm3pDzW9gaE6MHhRLIgT9wueBDw7BvBiXMQ4gxcAH2sgLQF9lOFKDbHZa8m6skSsAXd59l828bSkv6UdlSX5AHedP5cpc3spuAM/ZrVrue3+GocuVJw0Ea4kNmfvNA7Ia0/ylWf9i3YU0M+jT3L2oUiojBzzLMEi1iR+sq3SM8tQCoXWGik94qHHpVti3vLyLg8dCGhFafo13ScpFooBhW2Yj5hYB+TZzEALaYFVWqOSMrdMEz5S4jYtsAUxOZme1oqTWc42D0DLXf/jtuA4cfKcBGFzojAWjHbYlSKbHqzwFpY9Oh2PKHYbnWaGfNZClZXOjsuVcS3OGKgLoK8nT2wJJAWTq9J0pEyW5CxeAvmoNCnqM3KJIstAt6n2LiV0pOuUN2j+4vYqf/aZBlZk0sSxt9Pe6Ug2MerPrytPRoKgEsifh71HKvkY9cKLuvC0J3Ic4Fa67hsjMdIFnMoYYu0jleEn397j6HmfP/us57pdfNetYIxwety4fS/LjkrZWckkSGYhkjY7uD2k3AWfNULYlOEdsF3CJbMHjR1n8UJvl49b2UUZ1eHPrZPXjKA2jiR8JZhqKDZMKLxGTSO0pl0xSGVJsoNqitFez6fFR74Q5BON1gs28wi+rGXlWqkyLlNkicmLQNOMBphyXH9n2UmnvaUsXBMlY/wg5uis5LN31+l2fai6BInbD7KUlh9vS8tAzqgsG38OpcTX38ngJdDn97ECI5MyuRxnclmAXEukdDMNG/WEt7+qxx33VTl6IfVYnY+CFoL+SFSQSYH1mVylq4uyKdDTRSdLz+eSJX9vPD1vsUKU2vlK5bEpCY6m6jOCsM/J4OVA2JQAbgxEkaHdS6h2E7y9OxJaqzH9Vkx/qBCJIEn/XFm6Qsj/7OKgrGHxMqBZJ7gsvSefA9gF+MvDHcvBpUn1tykFmoUsycGdb7tR6O9su2/PSxjGhjsfrPPVx6tuOHiJvaXAJXayGvTSzJF19Xc5qFwnwPy7bvkxLgX3490+ppT0GfHKM5liJFoolDYYoUiGHq+7LuJ1N/c58wWfoXE6PBXPJHgMheu9FBZEugteJo1Gkj/Cpeuz1ypzT0RakwKF9hZFNtM5Kdn7LvgczWKOlRk/B7DFOscrj2FsVlJg0cYSJ7Dctcx3PETNx9uxc9OqNb07fN//zmGUTi2y6VVnS8HP+KVTdgjyL2LXglyWr9jCOx5tbyqAXcwELyaXrpUoZhTs5X1klCbbMLYIJt1dKtepI4OEex4J+J0PTaCNB4EqtLeQ+Ti2sjVYfO9R377M3ow9X/fsrDlT67B3JlMo2NpKW5Ipbm6KlGaUyVOpIowbFhQEml/44TaHznrc87DEBCJlcacPY6PSTd7HO44KsEP6vxhRaF7p3lIpoDOJ4qQIhYsii+OVAX2tbC2XeIwO3xztRhIjhyzLH2SQzPYf0sYQBAFhvXnHhu17VtVN1+/pzs2vHtNa/kQUJ1gryXzJNXUiY1p0pKRVZCO9SnaaZNTHLlcGpvXOUpWSOGWXJNuepNShkwWTnrQlxi4xeC5JSs5JKaHjZgzGnF0W/M5HJrj/8XraZxmAci1pnhRUJVSk6+v0ZTp6olQmO1rLXe7oL2rhVXnalpT59K2iHHm0YrI811CVXKO8oGtc1knGGnzL252nI9wsbJhJCD3LQ08FrPYzjZCCHJlPER+tmxEl2IsSqkqyZky6lkVNXoJbkl75SpVdwKWVa6QndeTfLmdU7cg9m5VpsiRUttJpS61aobuy8EMnDj19yPM97Ya4JMYFI2WL5jnYZ6wkp8TidoStEawdvjgmS4QoB5Z2TIePuyhmjMXLW2uMgzt7Ly2Fla7WWweaj3yuyd/cVcdWMuZ27okQRVGVHCusWi+oHO0TFDlI1tzGtHie4Cm/lwrbInAqd9sXLW2FF25zTW7Hx0wIhTQGITxkX/OOV/d59rjPez/gEYVJCeBg8YmcA70uk48Hm1akiR9h8611TFaPIgptTlpmXbgtWXzmLtBcrpRilZGhnPl19hw7tGXPSgdSCrfJmDYWHbmj7B0+5bbpswaUMFQrpRLQdSJYW/r7n8tJGbd/8tdyVJ6MOCrjA9XLIE/3oMmKq8qbIql0z8Z8NzCli30dS4+eSpBK89WHQz70hQYD7RW2oHC7yalSzUm5sKo81D2rHHyuArIReTaO8nVvhRwpuwJluzAvuCoHnLI06k0IZCpRTP6oMMKgjUfoG374zV2+/mTAlx+vYzOAO8MaYwXDtDM+EwW5TSltOnnZ6fCM0JVI3RJT2II2lfiWtBE5swVtqgYyUFvWypWcJEtl1mvV8HN6Ktk5qYaSmemAaiVAG4M3v+zG6PqeZaruPjDzn9eeEzGyLGWsXTwfCyZhXeYW46DJNjIaSdWvz+DFVnZ2VHNnLC5LlmCmvWWC8mJ6Q8Fv/vkEx8+FWF+BUGuylr4ofO+sJFatB96y/qYM6HJwUjow64Dc2vGlnRE9buw4kxf3ke57mxVkSYzIWFwihEIYDxlpLtqe8B9+tMXXfy6kM0iliim+uUExzP5AUzC4W4Zt3nFEnsXMEkBFHYrN8icpW9vSOc98cSGKgrR8QOjIMR1jcYrfwT4HwPMV1knDZk3SbEi0Fni7dmwA4WF1G2V6hL5Ig7fxK6YYJ7H26rEjX6TslowAnHR1YBzYhXMiRkBu1siT7P3M35bjbsl4kCldr2Wi4Y8/3eDxg5XC887uac2JL2ypHa2wB0eCyhLI1yK8KCoqcF0WdOuIu7InXtKiGdrXzi1MrUIjMCJlc+Geu5+VWTxtcRMe0liuvzzmZ767xe9/YpJIZ1+6ALuWiqGG1OQeBXkOYpFv9ZgngGQ6zyWtNcna2caBLmzmrABpa54cO54jj2WEl4V8iQzKZGss2L4GWSWsThLHCd5b3/JtBGGduXP7OfTUCaQMi3/LlIpsSidj/LPLbL4eqMcHoDvtbXINXsiAtaztto4udHcuV5QpgbuwCWXO3EUbmqpovvxgyAc/1aDV910GRzxXzUlJe68J5Mb09xqMr4lM1urytdJx5L3RoGs8AVSk7W2mvY0sHJastFYol9UTNk0GKXRiaFYMP/bOLo8+E3LnNxTUUrRlqDTkIBdK5NYhOB/bw13Emavi3s+Y3LF5VuNSmmycA71cTptJE1s+lutJEzF2sNZLkmVBaWzpDyLe9KYXcetN19Jqd/GaNYEXSKaamo1TfYaxckPFTYkxSksj2T9eusryq670xTPLp6y3czBLp/IKgJeZvGBqkQFbjDN5effdUkCZpeXTxI6SCdJLOHjS479+ssnRJT/d994B293H2LskS9YEmDy3/s4ORBGXPHfAuV5iJ3cObCm4yxwE7IhcKbLM6eZVViDSrbptOr8ktw6FCzqFtMjYsG864ae/p8PJWY8j5wTWS1k8W+etQCNzJrfp/kx+lraXbjNZt8ikGcgRW7AYAJplL8eBvlaLj85FKXxx1jBqmWjdJlrFzMTEwGILOkOFwSc2Hl53aPGsoDfUCDmkVgkZRMrtMKCFO0BjxVdWrDXky0xN6blMr/oRMENuZ5UtrnHWXsvkZiTRkwWXMtfaqd7OpEmYMNsS/OYHmnz2rhrWLyV0cudElLT36ADLkfl+YyUH2ao1EhiNXOhjoBZjJ4l1TlwJ8OX+x6yxIN2cL89yuraxdBRyLl3cTmdGWLRJdbhw9lmChy8N73h1n9ZQ8vO/p5hbFRAmKULTLyE9ElQ2Ptyd5TSgzBI/mS6Xqfct0wDcisInt7ixaplEsSVQZxI4n9SQSpgc+CW2KIcxhWVIvkFatjvcIBbEWCpVQ61mGUYW78Scjx9WZxdn/S+ZaMsbZqodAh8S7fKySfpFjXFXWOZPFh+83vYUY7JkTXBpea4gU+Rd69l7a/dIV2Wwy5I0SXW3lDGeFxNh+PwDdb7ycM3pbqVyxyR3TlJwuyHy9jlZOw+SGXsPRsE9BuznzWiOp+nHspejYHfb/sk0mDOiLFNE2pvoQC5sNsZBYqxyhVlSIq1EJx7Ks7z+xgFvfVmPj35BEiXC7fWRITSVLNpIhmn9CRSuSQZ6L9PlOOsQk77WpX8mLcwSogB6IU1KkqV0LMmCTVtIlnIUkwfaaXl3rN2mAcPIcO2lk1y6U39pzw4xu7Ghkbdcdzlh72snd06J/7Jpw26MiakECYGn8VSxwVABVluATZhSUqfUfFCqGRl5r+RdFz2UJR0ti2YFWfKzR7S2LP2s7JZkr4WzBBNh+NzdVd77503OLvoj2cossBQpuEcHaY6WEjxveWyZnEXBOiPSbY0+WR/ja3RmOS1fArm1Ih2ukzko2fwUck1eHi/hKhGdbaiNwliPeKjYOaP5+R9p87ZX9fBJQGuwCZgEbOyeW+OAY2FoIDKC2AhiK0gMxEaQpDtSJAYSm+4Ul7KrtqW9N7OfjezHOfY76b2ohSptOz5+8ac/SwxEGnqxINKGrRt2cPyk+C//9f33n2xMXePihmZ1FUSFulymMrGApcbccoM4KfbqEWlhTTYcv7jizKgkEdZJklxbjTP388iT3EkZdUwcaxfPZaq1Cw2e5IGllAleoDmzoPjgZ+ocOhZCPdPbGYOrNeyded5qXZYe7UAqP88ORDlVP87chUJJheg6MsUy6j9nB77I8KXyIA8wSzo9BbvT4m6sWl6QJSXCKtc2Zjy0sAgU8dBw+b6YH/6uDg8/HXByvnQlp4zt9KWXM7mTLOl3EYVHbkXacV+aSahK+tsKECaTKKLo9im7a+lBkiVGzxi8zN4jxk76tDOUnG/BsJdwZilm12pMtxfjvj2waevlVCo19j/b5tP378dozXV7DApFksiRXFJx4se2hivbf2mQOQ7yTHaMJnnGUsylXXSFKILKwh7UpRFmOrcKM/3teQnLbckffrTJ3Y9X0ipBrwC2zGpOnGuSsXduTZbYOw+SR5pmS9F9+UJnbb/g89ahlEBe7q7P68Kz98tJH5vWVucB5ui2J1LaVK4UOtwYgxAucHTnQaHTjLPuWV593ZB/8Z42v/HnE6z0MmGcSRVGQZ7qa2sycDvBrNL3HEHYEUfFijENLlJ8jvjihb1Y1um5Hi8HpuVjrtxIjE3TEa+8cRkda669bguXXXYtw2G3AHilvh38i+78+Bfu/Z37Ht7789L2US8P2bVFjRY7jQSQY4NvKGvutcmccWAX/8Z4oscFlGLEPTGFNSgKBs/dElEElwNh+dPPNPjApxt0tO9atoQakSYI5+WWKwZziSLHNXjRpJullsuJiQzkRVpZ8r90K4E798CxazX5WMq+6PwBYdwUBGOcB2/SoZiZm5KRkBEWt9220+Y6MTT8hJ94Z4e5ZckffXSCfjaAJPW+c8Djud5O43Dt5qM458Qzhb1qU/bOmNtmBVgloJtslcxBnVai2xJxloLRcgcQ+f/natErgWDnVo+33Nxgshmi6iu/s+Ell93ZP3cecBYmv/Z//QGrfT9OoviSuqe/Y7omaNQq6fDIsaKgTGLk9dpj1X+laVP5JKry75erAkcKq8pVg2atdldjzC3L7okDN75h/9GA//ShCU7Ph25D+vGkjlQoKQgF+SZSXlrAlc9XGZmkVXqeBk2j8xKz0c6jW6xkv5sN7y8PMS0XoQlR8ttLXUKFD1/e+WK8vIERAslKehkhl/VX3FxGWUslMGyaMty/32duQaa1J+XlqqS9EBgcuYuR67QkvYTAlqRY9l6+P2dp5RrL36QS7jmil/TCkNLN8Ak9aNYkU40Aa6tYJkkS76MLh+574NWvenPB4AD/9AfeRhhWeOCBBzjwzBMEXhYUpPsRZgbVSBnrKJuXa73H9ff477nfMaNsXtLhUhqnxYUpyZSy/i5sQSkTlK956njAz/zOFPuPhFhfUk7FF3eXsMhnnIjC8x73tkcsrNJjWYKUT0fWj7lWnjy/VrGllrXiveL9HCjrMLlJ2dtJlnTiFG5rQKe705HHaTpfpPJFGpXqcYOILNdeHPO+n1/lJ/6TYP/RNDgZSwJlTG4RJOnflJXyZjGEgrw+xWSvyVrJSEe9FR557o+XPkqA67hPLcYs4SpLCUdBQRJxYrmwYNl90aVcd+OtDIcD4OdGAb5p4wyVSpUN03WaNUEYukE660mKcjnnaKJmFND5Ep+zhxn5nbVSxRRBprAlUD8/uD1f07GSP/lMjSeeCdGeGgN1KlFSaZI5J16ZFUlPAGWwFz8TpYNfriBczzIR5f8+H7bXMcTHG71Hs5tFiWg2Oi0LMGXWuylE0fNoBFKkwCYtI7ASaSxGGEgLsoSxqMRw/ZVD/tnbu/zC7/t0EgH+2Pc0OERKD4sitm73NWPSTQFSkJpUpmT14tnk4DyVjwN6dowLTc6IXs9mWGaJL9KZiGVHJbMHjTEkNqTemEaqfn48c4CHgUclDI5OT1aPbdpY26cYEPhuoPj4gB2p1qbV14K2xNzgGPk5gJ353UKUkzxmFOi51i4ArqTG8zU9I/jgZ+t88it1hiq1AsUYc6c1F54oRiDnUoByPUxOGEU0nweWo21oRdAjRt4rUnDrL7fr4XutqzI6o4TSSR0JPDNfOrsA8gRQUV4rUh0urcUa65jbKASghUop0RIkCd/zuh4HTnl88DMNujEO5JkeSR20AugKYwRRCupAOn53EsZJGYUtxi2nEspSHikhclDLsaRQEXimf6BKL4QU2Il27N0bJExN1BAqPOb5wVExjPPjmEdEmzZv4+Az3/jS5GT9Y1s2T1MJYkLfjGzYtHZMsSn53WM+9UidiB75HVn6Han0SNGUVKM/LzKU64Db03QiwQf+ps5/en+T+UU/Fa5jIJejtuBIlzyFnh6XJhlbjxQEjTD42vdHbs9L3wVjj7A35aHu496vGE3xj4G6AL0s5qmUhsxnM8ZtVjee+uPWqnS+imLLjOHf/1iLH3l7h0aY+eOZR54+2vQ9o8EajIXIwsDA0AiizBfPvPLUN3d39zrzv5ORe+Grr/XLBVqLfHZPoi1RAsPY0u1rGhPTVKv1j331a/d/acf2bWsZHCAMPTy/cnujat8mE3md28raluaLlKr65JgLkurzbBSEq51eh81z1jaFrMGOSBORyZJSij4HtyjkiQgtf/OVGr/1/iazK1kRlUqdktIjbiz0aFInBXde4z3eb1nKypZBncVf+X8Y9cHXYfX/GZCvV6hZeOMZmO26Tkq50tBJqgL0YozFjZGFbEy7Y7RxzcgCSRJJtk4a/v2PtVlqSz52WwMqSUGFxpZo0eUws4OgSWtjpGNvz7rja0QahEM6MN8dn0wSZu6JSR0Tk/2s7MbYtKmCsoPk2tQC3yOKeSKsVG5P9GDkGI54Wtdc/1qWzt5+f7PaemSqqamFEaGfpFt8ZHvajM39U6PVfHkr2RiTjzJyIXuKupJSEkcVv5sncESSg1tJjQotR896/OVtdS4s+E53yIyty/fCFsxHQIzd1+wHOgbocTOhnM3M3ytg/3f6388J9PQ/ZQ98jTShVIRVmnqQJXzyEQppI0N5zvhIR1CpA8ga5VL61nPDPCPJ1o0J7/n2Hvt2RhCZlK0z5k7AxOljdjfYtPgpNi7zObQQWeHuxr0f2ywTWmJ1W7C3Y/hRRo+NIM6Z26Xm40QwjKE7sPQiybnF4SPv/8s77//Ot75+5Jh64wd5545NCCFYXlihVdTfWgAAMBBJREFU20mwyMILV2ZEe6/nbzPunmRskf0/jAeiGZOb9L1ygKnzR1HS4SowHDvv8cvvm+SuRysQpuAm091l/e3YwHXpjLL3eK13HkyOJ3pKjDPigZeY+++sO/lfBDk5e4+PVC7VpmBdcJmymRzpurcjLJ4lg9ysEheACmTO5KSaXKR63Awsr33JkF//mRb/8X0THD8fQDD2ReV6394lBhPrtvxObHbsXTN7UWdfOCqSku0JebYzj9lwWl0LUMa5d0aCNIJYW2RYY/P2PRizdhlcA/BNu78dIVXU73Xodg6PToqSo4Hh2mAy9WDXsQdHwD6SCDKj0kSUg02DKIFbpuA+Oe/xK38ywSfvrBEJ5eYJCpXq71GJkm0HXoB7LYuPs3Z2Ww+wRRCZ/X/FCODivdLvU1oBxPpFVSP4GANz+WdF+ayrqCv3cFIOODMdnxVh2SIJJHLAuypE975EWOtsRSvBuGxnxdO86/V9tIH/+McTnJoPCmdFsM6XlzjJ4iSPy6q6mDSx7rh7VoyQjMjkiy0l1kQ5yBdjZOQuFM+684mFi/du4Sff84YoTjR/9H/9HQBXwWb8oPlzqnrZlVKdf7WnVnMdrpQDX1FBmJXHjtaArwU1awBOpt9TQAtp0hrxDOSmAH/G3J7h1ILHL/zhBJ/+co1ISNKB5qnWXitNZOqaFPKkYO81evs5gsxxqVJ2V8qnd8QeHLsY1lQaloHLaL1JQeVjFmHes2kL6UKp6xxRej2mwXPPXOY7NIh0NKwwWQbWpfKFsRghSRKLj+H73tjHU/CLfzjBqYVgHdSUwY0rWsmcK1tYl9pCItxclUyTl8skVFomO2LHQhqjFb2aylh8KfCEZvNMjZuv2/u1qy7d8XMrq92/m8GDcILzx/62XasGh2o1XiFMogI/zSSKbNEcPVV5y9o6oKYcaObPM5Yug73M3DpP8gihUcIgPM35FY9//8cTfPrOGlGWXszZWo09T7eVE6PVgmocxGuejxYA5exeBu0YiEcBX0D973sbT/KUL4Ss4igDurHl2hS3bBcALlrabEmDizTQNA5OLhEjHHsbYxFSgXFmgdYW7//X3peH2VXUab9VdZa79ZrupLuzdDobCQmQsBpkkUVQQAVEHfzUcVBHRR0dHHV0Pr/x4xlHhFGUcWZ0FBF1Zj4UFRFhEMUhhF0QJAIJ2TqQjU7S3be773KWqvmjqk7VOfd2Z4UA89Xz3O6z3XPPrfue33l/OzguOauKKAY+84/t2DGsJlJfLLXBrYJHEqDrilry5osBqMbEyS1hAK+ktDASPJEOthAmsl+STyli4sWun1/33f+4a+x97zxn7wCHOnEcli/3c/kTXBEtz/s1UMpllg83AfepGkDEAjoMcLVE1xI7TVOygOdqWfPvGBSqpJxD8J1bi7j5zgICypoAm6aXlSRwifySacuJTVFEA4j1HIA0A/BU1m0dGXSgyG7AdCq7Pq1k6qhDmEhDocNIlRcwFXJrZeQjC/o0RZFcVgakSW+KjER52zlVrNvs4Ms3tCICVOifdBgZPs4VbLVUVx4aoStryckVQnLqWHklGUlLb00/AOXYglUrkwMuCFp9hmKh+OTu4YnLp3WUmk5pU4D3DFyA59deH+db5opo/GlQNgZKBFzHQcwdWZKA0yTeQP/qNgfPSm40oyyankB7OLWiqcyBiofDIbjr/jxuuiuPehLIoR04GasJlGKpaEmqd3sDJTFpdQ2ueticnCSgb3D+pGSMjhMn+wdyi3tbq41JDylwN3PdK3BzFc6aUTQJrGVBQYSuBS8sM6KUyEQI5QFlstobBzzC8Y5zqvjdMy5+9UBe3laUGlybR1xaegsqbwShgm2S/3LOBJGWE83rEwFCYN3UAuAxmAiRZwEIBJibw4qjB0Q1COP3N5HekwIcANpmvgVhGODG/9qAdes3oKdlAn/25gl0tXmo1jwQwhIJIH98i6akAI2UZUUCnxvKQqXPi6T4uAI3EyAOwW2r8/j0da14erMnbd10Mlpi4loZFO+GjvO27N6Wxj4ZPWlmMrQHUYi3FchJQ1H2Ad/NAC9f8lfWiqTe0ZCcbCugMBKeQxiqQtPZ+US5DEkStyIDPqQ0lyCPVZoaUwJr2bwQX/1EGZ9iwO2r82lTOKAArYGuv0TiCkUyq9plCSvtXkt3ZEp2Cy7Nk/UapneM4bI3j6KrwOD4AxNnnXXcTZ5fwBf+svncTgpw6nQIHta/UYtf89Uf/brSJngF7Z1b8OE3BWDUkVo7sWiKbUWxJbUGuy3dFV0xYE9bUIgGtwvcem8en/uGArfLLE5nARsWNaEWNUnFehswTyqxNTizkpo0Aj4F4qyrPnsj7AO4s9I7hXUF9HSSQzZORb4rrZQa6W4kd9p0aCS8bl8jkg4fRIjEEcMFlU+GIMaSuSG+/NEyKAFuW5VHkmkPwFAULX6VJBdE7rMnVWSWk+MsqaEBzmOAh7j41FF8/KIQ1YkWkNIJuyl58rpZ/Zc0cZPtBeDFHEN1Ys1/XHp+79+uuj/Xdv/aCDuHfURRnJLatvIIm2Prbcn/RmU0ATh0PIpsICNN2gS33pvD577Rij9u8GTKGW3GuzMvIKlMpYFsm6QMWNOWk2aVcPUUZ4GfADlzbBbUewW3mHzduOaFWSfWDWA7ggClTMqT6BgVlY9gSXdbfzJS3Cif8gsR7e6HBC4RXK3LQQOOZQMh/v4jZQgB/HJ1HkCMpGmPBmcCbmFRF0taJ4VAYahLAnhqKT5Kt3FcdLY7qE342LBjBmjXMaBu25Rz7Ey1M1foqtfD8Q8tnjvnx13FdcU3nlBEpW6SSCm0QphWFg3/NkqntjDYlMUcZyQ3obKUwR335fDZf2zFU01piR1AZb+UrRUq3gQmBS2VsQOLogANUjltHSEZvj25C34SpX+fR2KESRw9FvBTXk1Lmqv9qYArNdNJipk2I2qLCmmU4lC5niQBtuUgEsxckBbvgcBRAyG+/LEyuADuuC8PKaH1hWqAWnehBqzQ3zZOgz2RGibEItlOGeAy3HbfTPSVgOOXL5gIXXyoxmbUDxjgW56PeVv74kfed2mx/Nj9W4olr4RKVcDzAjg0MpYRahRCCWatPKpZSXFTA3xY0h4EIIyCU+DOB3L41Ndb8fQmT6bdJHyCWv8z0lwBz9QVbCwBYRwIIgNiNKzbOE3x8GaSu5lOuTe3pmVNbAiPhakiZkSESKiKJiTJccICsX0TkMbYlQTYJBujorPwhaIrkodLsS1AmCpPAVXhlQvwUGDpQIhrPl6G4MBdD+YQU2vykmBuJfsFycyLBXabpiTWF6bm2wWlFC0OUJ/w8cCTLs449+zy/IE5j4yNj3JMMabMr5ozazpmdLXtmt5Ru2TliQtC36kkUWvQ7vckq131m3QDeF4Iz5VdFFw3Up3NZGcFSiPpnVRWEqL4G6Gy5MHdv/NxxbWteHrQVeBuplA2oydKepNMdSpMnsyQMvs1AbvGadZaoi0mydM1tTe7tJdhOXSm3Jf1cCaRhSRzYxAL8PZ2qyqW/T/h9HpZRRyqqEOhvZ7cjmGRsSuCE/AAOLI/wrVXlPG6E+pgXBilMHlxs03HrsQREIXmFYZAHGZiXGLr8SXndLQaYUb/snDLjvASx2vd5RWmTzm9UwKcEBdRdR26ps/e2jtzwcZSKQ/XqYGp2G6qeLPDInheAOpE2FPlGNwDbBmhGBymeG5UxRB4AsxNIldt+78ENyO46yEfH7u6Des26wpUlkKZQEk/toy92wa3tnmnvZXCnMWS3oaXixRYGyICE+A3ILqBrKd2N2ijBrdZ5TI5MCvNbbqSSQPTXLwhd9OChOAW/9bKKTd8XOdt2r0507Zzmga9vZ1Tea6QY1F/hG98ahRnnVQD03UfkAG7Lj8VxXARYXZHgP7OAP2ddcydVkdXvg4WBUAYSKCr0hUyJFdgLIjhl9qwdNmSjfMWzN360JotKOWnJCFTUxT5GzE8t3H1oJ9r/8CYOHpVXL4dc2Y4MrhH1f5znBBD48DDT+bw49/msWaDA9eRj0TPFXjPeVX098ZYvjhAd6ukJSJSgHCkZPnNQx4+8ZVWrNviQri2OG3ixGmiWFJYsd5o7qlsVsinwTpiAbaBqtjHAg3S21b8G26A/RkZU0rKqpLh4zxRbyQJbzAbWjQFRHk8CTHKJywKkwCaJ2ZCo5RqikITqw0nFFSFL5JAYNGcCF/7ZBl/8Q9tuPshDzzmCmEEiKSw6WrjOGZxiP6+CH/6xipcR96Rrgs8ucHFj+/O4XdP5vDCmJBl5QgDBAOiGNNax/H2c5fBJ+EHfvWb+wZPOGHFXqdyrwB38guwfaiC9s789sc3sHvHtz95ak/nLjgshOdGYF6Iex5zceNtJfz8/gJGyo71q8o7+L4ncyjkYrzzzCrOPbWOlcsDzOyUxai3DDE88HsXX/hmCes2OxC6zQah6f/Sv9VE/COJFszGNiT0BE1AngBWNOfiFqizNu7kBrAQfIB6ZRrTipdnzYSwJLON/0RKayDDoiaWSdFEGgLpWHKbixOp4FsSnGsObVLkpWtfAV17UQEVkRgJLO6PcN1flfG33yzhod972DIkaz7M7OR4zfIA555ax6VnVlH0uXJsmi987KIQbz65ilseyOHG20pY/SgQuwxwfFABvOHYEt534fx7Fyw6dTswDkJa9jqvbK9HAPjKNV/Ee995/p5p7e1jnSXy9qj2LDraaqiGddzzhIvP/VMn7nygFVX4UHlu8uUQRTUIwpDg8T+6WPW4i127GZYtiLFrhOKL3yri6/9RxJYdjpLctnRu4sihaS6u4008Ku3eMplYOXeSzH8L9FaFgGwF2WRd76ckbT/XGfFE5Qsq3cFkv5PkOLuMsgy1JSpgyM6Sb/KEIdmnD0n+09Q2Ye1DUms7eR8V0P3gkzBfy4Nrr1P16CGZcxDAqndjBEKiu2QdeEpR6OoQOP24AD09MZ7a4KKlKPDXH5jAJ981gVOPDeARAR4RxIGDKHQRhi6i0EUUOsi5FCuWhDhqfoDB7QS7hhlqgYeCK3D+aa/BwoFFf/Xshi2r++cM7JPg2KsE12PW7Nmgbucj1eFdtzi1WRfu2PkorvtxCbc91IJN2wrgJdnjRkpdWEpFCCACCMCpwI4hB9f/lKKlwFEJCH7wy7ysVe1as5gyVVCk6ArUY0vNspbeLAtQ/UMj49hBhqoAKXpiFMw05bCpdgMP14Po+Atr0xRmRT1SXrv0YmqbeUlRnzh3YEyFZt1UyTKufiO5YdMYIVsICk4gmGVCRIaLcwGh3PhJLAuREj3RTwSASGBGJ8e7L6hhokpRqQPvu7iKHOXgNQEeE0TcRRy7spwcZ4kkDykHCyMcPRDiuitGcduDdfzDv8WYO2c5lixeeMvAnIFHdu4u7yts9x3guWIvRLB20J1+yse3rvtPdu3NfW/69s891LgP5HyAeaCEyiRS6NbKuh8MpEYMAlCOvp4Yy48MsWM3Q0tBYPeErUTaYLa9lpZ0V8cQAsvWLRLl0lhQbNd7o2kQU9CTlF3cQrqmBc10zaz1ZW9D2Asks8NWNi0rit0V2WyzwWq9iEjRG84JCJucqugGtES79Il0+MgW3QKCSDMidBa/RVcE4ZKm6MngwHiFYNMWhh17KLZtp5jXK2sxS0uMgyh2EUUuIs7k54CoAk8xYh5ioKeOD15QQ0uujkc3u78458yVH187+NyW44+cc+gBDgDEOwJ3rVq1JZ9/y5q12+9+U40/C+TzoMxFnlHkmCoVAFmosRK5CAFV0JEAITB3RowrPzKGt55Tw/PbGO68z8OdD7KEf5oZshCjYxZS8QzaS9loOWm0hjR59GbWU9/TBvkk79XXNxWO94mXW7xbWOuJhLbmhSTHWrHjgiiLYfoR0JC3SYxkRxP7uF3j0Hg/FcgTRVNLbposm8+Xx8m4IpmT+dAfXPz8Hh9btzM4DPi7j5Yxd3qEuCZNjlHsoB56CCNX5oUKAko5HBYjjmXGvkMJ3nL6fJx91qlryjt+u+X4I8/cH8juH8ABgLgL0d/f8+Uli9bP++Pg0Du2DgdocSnaXC4BrjyzYUwwSgiGwRBHBD6NseLoGi5/6zjefnYVbgj0z4hx5eXj2LjVwbrnXRjprYFsSfYGumJLa5GiIKnAKZtzGuyYUza5AWzk2jQF1nubAzmjcJJmxzTiOwVMi2aknEFICfa0m75Bcts3AUk/BRKJbezjafBqp5Kd/kbVTaEltlE6hXar68Il6md69jmGz/9zCYM7HAgG/PhXeRBC8OG3jmHFwhhCUISRi1rdRy3wEMcMAlBRqzFyPgUlEdxiF1pK82/q7j75y8Cm/YXr/hbSA85e2Yvv/egnoyceNfuyQjG3uuA56HBjdOQ42vMieXXkOTp8Dg9AkUR473ll/Pzq3XjHWVU4sQCPBCjnWNgXYXqH7YzKIKtBgjfn3gTNXfHNvJTyLAI2lid36EwG5r0ceIhGQ+wJ0g6cLHdPxeqLlJ8kbeNOzIRIg1lJ8YbtyZ1HEmmdJGag8UbdOcywYZsDQSnAGALm4qbflHDhp7tx4+05xCKG4AyVWg5jE3mMjudQHs9hbCKH8UoOlZqPiHsgrLDaLSy4LBq5YZSQefs9f/tkRcmO397+I1x62cfDM0468l1rnt48UBATmFYEijmg4AN5D8h5gEMJgijCJWcO4crLyugoUIhY8i094/mCrMx/36M+6nHWxm1HCZplbTlxqO4nP0nxTMtSwohdTzD9n9iWk8QKgqReYFJz0LJi6KatdlKyftHMurF8pK0oTe30zbbBfMZkxwBkkveYp1g2tNd05FClPhp0EhPTj8w5soF2lJiE9NGQ4mv/XsR9j+dkSqGqCcmph0rg4741eXS2xJg7I4ede9oxOpZDpeaiFjiohw6CUFLWYrEVbX3vXS/gX++1XXhAAmK/KYoerz12ATjnD7/7/BUrH77v3jwjkcmbU4CaQRhOXVHHe88ncNCG8YpyDLEITEQAQlDK0dUhiwpBTX6KQzTYwuVfphRM4463Yk0s5ZJayiUy/5sqlYQ0leiwLqtxM8HUknz/Rbxd0coELaUltx17Qogl2S3Obb/HbM80m9UBWcTwcS5UpKHtCGrwcIpEUUliuCETjHcNM1nXzaMwbWM8ENfBeEhxzY/aMDoC9HaU5I1LbVopMF7NY+b846tOYenDhOw30UjGAQO8r6sFlfGJv3n/204XJbHtL9etW58LIjlRjBJ4HkV7C8PSAWCi0oU9pIJCrgbPryc/OCWx9JrFlhcDNgIzIsdy7EhwWxk5sKgJSUsvmgWxRU9s3CaWD+t/6iawwZzBrQ3hZma+5ijG1Ni3OHnqvA0ANp5KaKDqG6IJTUliVRJlEyrIiljRhxagSWOgVvLZwsyMSASQBKycOCbBzaSlLec46PAEOlyGR9YQLO4naG9hyHmyvTvnwNhEhDn982qt08/5Whjl/7efyx8oTPefg9ujUCrytc888oWF83quXjCvL/BcikLOQanooL3FQUerLN4yXvFQrfuohx6iyEUcO1IC6OyP7LBt4ciYBmHV80a61IDtmWzKv5G5AYAU0JOPtt5rdqT+NR0NN8o+jsTUh0ZerfenahLa+6zc2MRKkhxrLCBcLaOBg+vjbWDDOi4dUmsHeyX8W5htyV2WMvtSgDhwqIMWJtDucbTlOFwWY3QswshYjPIEwXiVoFoH8qUZAfOnXf2ru+//gp/LTxktuLdxUAAHgOGRWlAqdV7V0tp1ZS7nc88FCjmKQg7IeRwOk1q3LMVMEcem4lIqpzOlUDb5b0lv23lju+MblUnRBOQiBdZGC0ozYJsdIvO+hkEAIvYT4chYRybdaTbYUlkfkq7JbeziemM2xc1YYkh6m/3e5HN0FKLJkDcKqS3Fs/OhAU7hUsBTtSwJEYhioBbEqNZjVGoclSqH5/l8zqwZV87s7b6q4MbBweLzoAF+3gUXYqIWVwfmLbjlxOOPFsW8gOvIl+cIWTiINP5qNiNhDBmp3QTkJM2/lfxP0Q+7OmwKhDblsOmKTTVscGdYSDbIKvv7HWorik09mh9AUsdlHUPpBduLSawnBSxBY1tfLJ4NoqIIs/metgVFRyxSI+W5QByL5jcr5PtiThDFAmEkEEUCQRhjbDzE3HlLxcC8+bcwyqvnv+ktBz2XB8zB7dHfPxutbV3PdnUWL6dU/MsTjz9OCzkJcM81NQ1T7bhVgoSICDZtcxBwG9C2B9NSLkk2Q0fKDLv7gebkOkR2n5w9elkhOwF3M3yRfdh0oIDP2L2BtMLYoEBm7d52QSBiJLVcNlWviOXpTCcsi8aSE4kt3Th7NBdHiqObYzwqMLcvAlwVNktlQeVICNWZTSCMgSCStQY5F/A9iqOOOpbPmj3v8oWL5j27Y8cLhwKaBy/BAWDhwsUI6qPBkqXHXj86jk96uTZARMj5MfJ+BN+N4Tqm1V9SCtmNsW03xU9/XcBYoHMubWeOLcGtQjGkiUIJsww08m7boqIx2CCZm4C7Gcizyug+K5VTjb3dFKLxwJSET0lsWyqbfTq81tjVrTiVBiluOHpSgtl28IgmEl/Flrd4wCVnV9E3LZLx36rUcsyFLLEcE9QjoBYAtUAgCCPMnjkNfdP9T5500vHX73xhT7BkyZJDMauHBuAAMHv2fGzbvjM+77zzNpx5xiljM3sLaG+poKVQRyFfR84L4DkhHBaCsQieF6I8AXzxhlY8sdGXRupmYbIkka3G1g3RoFBmqUpzTq4gkqUV6sDJJLdRHLNvyi5Ze/dHimf4dPNtGeUzC2hrOXu84edZYKIBoAl1sY6FDWykKYzJ+KEQgsk4k5jgmHkhPndZGe0toRTVPATnMSoRUA4JxuoUo1WCodEYxGnBUcesHDvltHM2jAy/EC8+YuGhguWhAzgAFAp5FN2JXyxbtuIjJ5988p5ZvQQdraMo5qrwvTpcN4DrBvDdAHAj3P6oj9vvKaAW2GWPG8GtAaPTUBujBEUD9Who/wcdIpph+hll0QZmA9DtffswH4eMmoupd+nrSiuRNq3Juuut7VkpnpLK5rhUgX1kbgyYvpxCFdLPucAFp1XxxuMqMksnqgNxHWEcoRwCu+oEz48KVFk7Tn3dmXtWLF/+kS3byr/w/QM3CTYbh4SD69HR3gYAiMM9P8j3n+bUWspfjss/646CYQAEjhOikK9h+26OW28r4vpflrBl1AM8q48l7AI+BqEJK7e4dUpqw6IhzXi2bRYEMitTmffIpGspPfUA0Swm20gaWYnNw+39piqDIt72sub1GtTEAnQDBzdcnQsYnk2sjB/ocNssRdGRhvKzwgCY3RrhineX0drJ8YtVJWzbBSAnEAoPYSDQO60V77j4dUMXnXfKZybq4Q8WzJt1KOEI4BADXA/mdkJEu27ITzuXPr1185daxa+724oceb+G53dzXPPDFnznZ62oxY6qd6IapVvtRoxySYwzJ/USCR1J1TzBJFk79jGZ/VlRa4M9YSaTAtiiKodAZKejKvVGa5sF7qRCA0lvF+pEBsyq903ilbQkOLGkt+X4SUcbKpBzM4E2JTJc3ZSX0Oc49ogY1y4YwZI5Ib7ybxzP7QbgAp2lGB97+5Kh91988mdrQf2G3u72FwOKBxaLsi/j/155NQp9y36/cUdxaGB6fFre3Z6/dTXDNT9sx0/ubUOV56TkplYfHQ1upJVNQnX7ERNglQRaUfu/7tmZuRmoTWcmWzfleZPYFIJM/Id9DGnclsSiWJk8tFl8isnqbxaLko03QZPt5oYljdtArDgTtQ5LZ4d6H4QVmiAahUTmOkz8imi4FjMIAJ2gTBFHDA5lOHp+iMXz6+BCYMtgAScfP2/P5/+s9CmX/+GG6b2nvlgwPNQW3Maxfd13aT2s/8lDa5765uf/ZXPLusFpQMGTM8atx2mDY8fQFEKBHJGNWz0Cq3mrKs+WgFyYgKqMtLdblWRLuFEF2GxGUNIZTNcdIqQh+Mrer8HMqBWMlWzTKW+mkay+uZIbVG3TTXR1I125zU65s5vrmvXkvQRWa/R0b1Kq5snur5T+b3owpdrPsHQrmqTdjNWZw05fg2UEEEJeZ6FYw5r1EX7x0GvHxvgxHxIk9/+u+czbDspTubfxolAUe9x4N+cg7Te5dEF07un5Gzf/ZDTn53KYCAU4idVRWtcVmf8k+asgn1AOOyxWSxY7wbhZcXtqSZusX8k2kjRlJHuLG5lkTPW2g5EuInGJ679yXdvAE0ajbNkSaBaHBpJlbk05UVn1JmGZKGqTVj6bXb8sL2G+nc7ZjGIX9cBHpeJiaKK/dvZru98/s7f+k/HxYX7NZw5iEvZhvGgURY9f33YrrrnydHHR+fEzmwe7n2pxim9mwW6nLmJUQhmjIEWXjjex1C6FTLtLgw6TZURKcUaN1EpajSfURAVj0ckf/42UI/OiWQpipPm+UBRJF5pTlOx1NLtGQzumuPYUZWn+soUFrOP1NuP1Nd8HDedplPi6dJ/k/0Q1tpLmQggJ8pFxig3Pt0O4R9WqfM67rr2l/We1Sj1+0xs/+mLD78UHOAB861t3oNj1Z+Kqny585oPn0bWXnFE5v7ttk/vI2iIgXOQdCcwYBEkVpESkUBCkG7g61PSQT3rJE9Oau2k1WZoGQhpMZHLgkCYAJ/sBcHKQAKeTgxqZbYDSJSzwWnJCvUcDXYJPK/FZx1aD6VXTo0xnPMZ0LyUAgiCOZa5lHDsghKIWxvinnzr44/PHVHpnzP/T179h1k9W9Ib8/PMueymg99IAHADuuuNm3P6d83H7xm88tWjmSZsef7Z49obBes6FQIsj4FKgEhKIIASiALIwIxKLikdkaLHutaOlt8270/xbTAqkrMRLJy4cXoBTmv78KaX2JNtsMNvgN1LcoD+R7hatsSmb+Rxh5lQ17HVoDIfFcJ1IeqopEMcuqvUcwtCRDWIDH+0d80fzLX0fjMV3bnrk0ePw+je846WC3YuvZGbHD3/2L9i9fS6Kxep71m6tfvU39z81LRjbA99nGBd18NoYgiDC9rKLAHnAzYNQF0UHKFIBnwl4zFIyE5oyNbgTiwQy4bIa4LQRbPLHtGqj0KmVTG010UpmUg+FNlcyG7KOEmXVolxUg0pZiSxlk6jvbqwaokHptJMIpEXGNqvqstWWyTWlYAqrwx6H40QG0G4E1wnge3VQGuCFskC17qIy0Y6w3gVKY0zrzMMrrdg9Upl+RXd7/vurn1iHSy7+2EuKtxddycyOd130YQDAlh3D37/AdZ0Fc7qvWn3Pb7vbCqM457V70FYcw3itjm//vIhfPswQcg+EOkj6t6gfwk42TpsEMz0XM49wcoC39F5zE0T63Nn1Kcc+HHcoJJH0ARHVcAqg6qzcqktvPo+CIDZPoKR8G0+iEhnlAA1xxyMOvv3zduyuFNCZc3DW0Xksmd+K/iNOHpo++5S/7uPR95nbdQi+wf6Plxzgeszp6cDY+MR3/9eFp5BFM9mXdj13d3f/tDH0ThfoaBHo6RzHjpEcHlxbAvFMxVjHktTZnpeMisZHNtLgTgHlIFHTLIQk2bG/5yZTbzrQgK7kUpSzBgrkAkjam+i5srOE5LxREK7KQBDVMZmaApy+y/HYOoq/u2Eafr9+OnJ5H33FALM6W/HaU88e6uhb+dkwwnc9v/3gJvogxmEDOAC0lIoIg8r1J688IdrVz6+t7v5lx7YhgnpAMdC7C0f2h3jwaQJGCFwqJB3RLQFTtmJr3aIXQNpSoEczyWp5tJsHT032BhVOetASViAdGWRJ1GSRTH64/l6JEU80Hq+/X5LDyTX3lpCnQFLKW56QJueNiZD1w7lArNqAU0rwzBYH67cX0dnqYnorR3f3DJx55qnDRxx53KeqNX5jW2vxYGfmoMZhBTgAuF4BQgQ/6O0/bs8LfP388ci/emziV+62YYZnt+cB10Geym7dCe9mpvagBrdebia59ZgMvHsDN2DtsF3lkxwqyKGhFA2fPcWmrNUkMQXa12VlGomMy0FKcAJOBZjg1odoxZgijuUbCGVglKMeeJjbU8WcGQHKIxHe8+aTwl0199NnnHbChkIx/8tCzsXhHocd4ABAiMc3rN/0i2r8Aa931qOV0d0T//zdGx8kjz1bou0FhpIjkGNcFtikk4Nbm9OJJZXsCDsC88NqD5v2uCXZvcRQDyWgJ0GraI5kW0SmNk6O0hSNQiMwm77P8heQ5DMyTy7r8nRXjXQeJUkFagnFzWXGsCQxBBScCMRKmsvnlYTNyBiwbG6MKy4VfPPwieLoZUs/ev7r539v84YdQWH6opcOQFOMlwXAAWD+ggGI+mMBvPYfUDrnv2ievO2ExcN/Nzi4HQ5j0nLCRKrIJlVueofBWCksa4nJNRSykajupJH8sQQzaQ5oOy2RwObC6YPsrJsDHQkNScAurPtk0gS2BhpmbhIdIixS1667PXBdHF99OUoIqFB1CJVEoITLeuIESVqaEDG4AGo1gpa2pTjrxK7/c8+G/h/zXN9zt96zK3jL614e4AZeRgAHAOIfCwDVK6/72br2uSdddV7POu+pntLfPLpmC2O8Dt/RNauRkeKAw0hiZrPZBOdAzEkiulNZ6WozJ5ANwjLUI+G5KZFucVg0j/5L5UWSzLbsd27QEcSUx6HJ8cnHJNRMAFa0ZcrGDVVFVs2LBjmgzYwEgklJQGJt5qSgQpZbi2KARgKlIoNTXBBXxOwvHnlk/qrX+9vjvgX7VzfwpRgvmaNnf8Zv77gJ77n4DeIvPvSO/7rlJ//uuw5OjGsjDo8CjFWlVs+IbJvpMsB1CFwGOA7gMgKHKXuz8upxoYAuMgBH1sJiWknbTqDUMdp5AqQdOrAcOfYysezhGUePHc2Y9Vja27LOnqwzKHU+XQiM2mZUYeqHq+SEmFNEMUUUE0ScII5NUkPCuyFbOjpMwHFkXmV5IgdOutE39+R6/xEXXdMz++TPv+0tl4r5S99+uGHTdLzkjp79GTt2jaHohAg5/dKmTZtWfuff7qAPPzu+cvfQsDOjlaKUA3yXyJr7jEiqwkhCUbgQCEKgWheohzLRlaumuzYoEspDSWNkn+3GTyIELfDr+BdKkn0sceiQxCnEGEm2s5RTxywnBftpxuyZiiRsEj1ou9CZpm48tZ0kcwKEEUWtzlCtO6iHMsOdQCSOJVMVIUbOj1HIBWgtjKFQao+efb7ngQVLL+KzZvc/EIb0s6ViBOp0HG6oTDpeVhQlO3q6khYVn/30127FtAXLW1Z2T/zrpmc3vz0Y3kZFXIXrOPAcIptKMALmKCAR2boD4KjUBIIICFTTroSn6/guZtK5sjQkGU1MbnpFVSRO0RHRVNlsPJ9t9dE8O6Vk2k+UvcyXNhMal7r2SqowWGIuKQgc1AOC8RpNaoI7VMBxCDjnSimnICRCPpdH27Ru3tk96+ZZ80t/zuPfjeULRx9ueOzTeFkD3B5Xf+LNeOiJjWP5Qu5jg4MD6x956NFlY2MjF65fvxFOzoXvMbiMwHUIHIfCYRSMEbQUIuwaC7CjTCWdoQKOcvUDAChkVQOr1ylgANXUmpLwdaFCSWHV/NNEXkyhFqY/I1m2zXuZQpeTDZ1GZk6KRLGUklxKc4dxOI6svU2pwERVYPseF2Eon3oJ1eMCnDHEPILgITq756HY1nJLe+9Ra0odvV8Pg9pYrrj4cMNhn8crBuAAcNIx8wBg14ZNWz6/csXb+h97/Bms6++5cOOGtRgtl0Gpg5zvwPcofI+gkAN6uzhmzhzFv97pY+dwAZ15IK+Aqa0UMv8QsmNYNj8lI1ITlc5K6iXK/pgU1rHAnapvMsn3sjl+Q6bMJEqoSPyR5kOSS7Uj/ygHUxza90K0FmoYKtdxx+8IhoZ89HYQ5HMMvkeR8wg4FwhIhEKhBYsWH4s5/fNvmTZj8SeC+vggcQ99zuSLPV5RANdj/sAcbNuxa3D5MUs/1dle/MFxy4/4+ONPPnPa4Kb1YKiikGMo5ATaShx9XSGOWzKO/3wswMbteRRdAlcFLhEii9xwIa0oehglk5h1+wLscgzEFJQ3uYjmpbfpN9h0IxuOmnw+ESlJbEt3wFCiJJ9SnVvph6nAKaaKLDHK4ToxioUqHtsY4PaHHcxpi5B3JaijmKFW45jV24olixegu3fhqtaW/Nf75vT/IYqiwc6uVx64gVcowAGgr6cLANYLIdYDWDMyVus9bvmSb+3ctn7BxvV/ZBQhcl4Mx4llCTkaK05OQWQ3dqgWj7CsiCZCl6Qlqh66y3MixYXJjCHExHdA2d9NB+MMXbG9rRmLiFGATWyNnQKW+KW49DwCBFwATD1T7KhAol76ChjliIVAEEmTX7XGZWosY1i2fHl8zFFHrC/4wQcXLztxO4B1ZDId4hUyXrEA10P9AOtGR0fWcR6f297qz1yy9Jib//jE6tagsrUYRxMgNAZxcsg7BHmHw1F8O+YAVOC/Q9Vjn2gLBpkE3DAik5CUp1ToEsQw5Yj10yEBuuVCN2ZAO7w3UzAU5hh7JBUhuBTnnECll2mKYkJeIQiimKIeOqgFHsKQI+byhm9tKWDxotkTZ591ejkMo0vm9PdvZYwOvtKBrccrHuB6tLW1gws+2N7e+Vy1Mr4UQrxGCPFtJ3wiWjd4f2d5LG7pLRG0+BFcBtRCinpMwISkKlwhUIObKZOgdgYJIVJUgAhNJaSpkBtNU4UIWN3MEkXQEOoGid2QEG1iu0mTGy1x0FjvYSohklLAYRyeE4MxgXrAUKk6qAcUjLZiepuLt76+BwMzjxs588T+ccrYn8+fN/BgS0tpFAKc0FcHuIFXEcABgMp4CT70wo7hjs7eOyuVsUWzij+sl9l1f3XOyt+9e+3ajSEPK4tdFuU4RvD4IMHomA9aEHBVezhGdR9bbWoE4lgYJ5GOabFNe4KAWVV5uLoriCqeI7gw8QNQoE7ZtLPJGaLB9m0rl7rGYBQTq+2fAGPyGM23S/k69ozX8Yf1bZjW1oG2Eqv5kfvM3HmzxZde90YviNu/+tCvb77xNWe8QUxMjPPW1r13Dn6ljVcVwPXont4DyMDPyu+f2gTXda52GLv69JVLWWd76Z/zbm1R0X3qlK/evJU9vsZFEIcIJwL4DoPrMuR9Bs+VaAtDDs6F5Opc8235OYQQ1chZgOoYayXBEUsuQwgQCyJpCgzl0A4lh9lJ0emaiowCjJlOxUJA3ixEeh2DkCCM5LGxS+A4AgQcvluF7xLkchSje4rYsGdxvHDxktW903Pr4rB8OSXl2Pc8OPDFGW+6FKX8qxIGAF6lALfHiiMHAGOhi0Q0/Odgfsf2ncv/vue+X3sDw1tiP+ceSwiO84Ld8FgNhRxFznfAKEGlRjA2IVAPeRJ/IoGu6AMIqBXwIGzFUymihIhE4TQcXwWPMZP9b5sSpVdSwHVk1rqu8goqG28BBLtHgLGKbOnNaIQw5Ojq8NHTW4TD+KO1WvzYUUfMYsuOvyQQrPdzENXhOb2th/sneUnHqx7g2UGkW3kYwIcB4Cvfux0AThOcnNPh1C4puMERlATY+txG5P0QIi5jol7G5g0eulsduC5FPQTqIeC7APEEPJckbn5JHYQqdiMgGAWlso05HIlwDW7pXJEKoRAEYawCwwC4EHCYQN7n8F2OekhRqTEQxGgtVLB5B8czgwUU8wW0t/pYuHABujry6Otx186YFdycL8S/AierSMufALjicE/7YRv/4wCeHZ9873kAsGrP7uFVAO4VIppfLo/w34zs5HNntw/Mnpn/60LXevBcC7xwCLt3D8NlIcaCCKPlIvraJVd3HRnRGIRAtcLBOeC6gBAchFAwJsCFpBuOI/d5rmwQ4LscMafYXaao10US/uuwGB0t4xger2C43IpqzUeppR19s3vx+PYAS49ZhKgyfFUclTeddNJr6LTODup57oYYuJMU2w/31L4sxv94gOvROa0DAO7U6+PlIVCaa4/qWx6YNQwsGs+Hy+cd9ZdBwF/vuTWM1Cu47vtr4flldLa7KBYcMErhu1Xcu2YC42WCzhJFoBTWKKJgxEUpz1UUJIfLpBmvrVTF6EQdW1+YgbaWAmIIuLGA5xH0zCjB7ToDrfVO+K6LKCZ3tXYOXTtrlnDnzF6Ooxb2rpqo1kf6eqcf7il8WY7/D/BJRqm1GwBGANwKAENDO0FAnqkF0YxSLuDj9Qquv2UbXFFFIe+jkHNQqYXhBeeu+MKyY7ZfcP/v3bDkO4i5UKG8BK1FB13tDG0locx4UnLncxPYWIY7Y07PbZXdz3yBUNcVABiLkMs7mFZcAaAdxTyhMWc7CbDpnRfPONxT9IoYrx6D58tglHfeA0LIjJ271rfdvtoTPnMQxrKoEWVAqeCgq42hpSglt8M4ooiBOhWsWsNIz7T+UQGx850XvXjVVv+njf8GliDg6roV4ygAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTk6NTY6NTkrMDA6MDD4S1m1AAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE5OjU2OjU5KzAwOjAwiRbhCQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 256971000
    {'hecke_orbit_code': 108086391090448361, 'n': 1, 'trace_an': 4}
  • id: 256971001
    {'hecke_orbit_code': 108086391090448361, 'n': 2, 'trace_an': 2}
  • id: 256971002
    {'hecke_orbit_code': 108086391090448361, 'n': 3, 'trace_an': 0}
  • id: 256971003
    {'hecke_orbit_code': 108086391090448361, 'n': 4, 'trace_an': 4}
  • id: 256971004
    {'hecke_orbit_code': 108086391090448361, 'n': 5, 'trace_an': 0}
  • id: 256971005
    {'hecke_orbit_code': 108086391090448361, 'n': 6, 'trace_an': 0}
  • id: 256971006
    {'hecke_orbit_code': 108086391090448361, 'n': 7, 'trace_an': -1}
  • id: 256971007
    {'hecke_orbit_code': 108086391090448361, 'n': 8, 'trace_an': 9}
  • id: 256971008
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  • id: 256971012
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  • id: 256971013
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  • id: 256971015
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  • id: 256971016
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  • id: 256971017
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  • id: 256971018
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  • id: 256971020
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  • id: 256971021
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  • id: 256971022
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  • id: 256971023
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  • id: 256971024
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  • id: 256971025
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  • id: 256971027
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  • id: 256971028
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  • id: 256971030
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  • id: 256971052
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  • id: 256971102
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  • id: 256971106
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  • id: 256971107
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  • id: 256971108
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  • id: 256971110
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  • id: 256971111
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  • id: 256971112
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  • id: 256971114
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  • id: 256971115
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  • id: 256971116
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  • id: 256971117
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  • id: 256971118
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  • id: 256971119
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  • id: 256971120
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  • id: 256971121
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  • id: 256971122
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  • id: 256971123
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  • id: 256971124
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  • id: 256971125
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  • id: 256971126
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  • id: 256971127
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  • id: 256971128
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  • id: 256971129
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  • id: 256971130
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  • id: 256971132
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  • id: 256971133
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  • id: 256971135
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  • id: 256971136
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  • id: 256971137
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  • id: 256971138
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  • id: 256971139
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  • id: 256971141
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  • id: 256971146
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  • id: 256971148
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  • id: 256971160
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  • id: 256971161
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  • id: 256971162
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  • id: 256971163
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  • id: 256971169
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  • id: 256971171
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  • id: 256971190
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  • id: 256971191
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  • id: 256971192
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  • id: 256971193
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  • id: 256971194
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  • id: 256971195
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  • id: 256971196
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  • id: 256971197
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  • id: 256971199
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  • id: 256971200
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  • id: 256971202
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    {'hecke_orbit_code': 108086391090448361, 'n': 988, 'trace_an': 4}
  • id: 256971988
    {'hecke_orbit_code': 108086391090448361, 'n': 989, 'trace_an': -39}
  • id: 256971989
    {'hecke_orbit_code': 108086391090448361, 'n': 990, 'trace_an': 0}
  • id: 256971990
    {'hecke_orbit_code': 108086391090448361, 'n': 991, 'trace_an': -22}
  • id: 256971991
    {'hecke_orbit_code': 108086391090448361, 'n': 992, 'trace_an': 21}
  • id: 256971992
    {'hecke_orbit_code': 108086391090448361, 'n': 993, 'trace_an': 0}
  • id: 256971993
    {'hecke_orbit_code': 108086391090448361, 'n': 994, 'trace_an': -57}
  • id: 256971994
    {'hecke_orbit_code': 108086391090448361, 'n': 995, 'trace_an': 0}
  • id: 256971995
    {'hecke_orbit_code': 108086391090448361, 'n': 996, 'trace_an': 0}
  • id: 256971996
    {'hecke_orbit_code': 108086391090448361, 'n': 997, 'trace_an': 161}
  • id: 256971997
    {'hecke_orbit_code': 108086391090448361, 'n': 998, 'trace_an': 86}
  • id: 256971998
    {'hecke_orbit_code': 108086391090448361, 'n': 999, 'trace_an': 0}
  • id: 256971999
    {'hecke_orbit_code': 108086391090448361, 'n': 1000, 'trace_an': 0}