Embedded newform data - 8325.2.a.ch.1.3

Formats: - HTML - YAML - JSON - 2026-07-12T12:22:25.853049

• 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': 33300, 'analytic_conductor': 66.47545968271592, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1], [37, 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': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 973904, 'field_disc_factorization': [[2, 4], [60869, 1]], 'field_poly': [6, 19, 6, -8, -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, [-12, 11, 14, -8, -2, 1]], [7, [-302, -268, -32, 32, 11, 1]], [11, [-96, 16, 48, -8, -5, 1]], [13, [256, 148, -60, -28, 4, 1]]], 'hecke_orbit': 60, 'hecke_orbit_code': 265712378048422021, 'hecke_ring_generator_nbound': 7, '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': False, 'label': '8325.2.a.ch', 'level': 8325, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 37], 'level_radical': 555, 'minimal_twist': '185.2.a.e', 'nf_label': '5.5.973904.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{4}q^{2}+(2+\\beta _{3})q^{4}+(-2-\\beta _{1}-\\beta _{2}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8325.2.a', 'trace_display': [2, 0, 0, -11], 'trace_hash': 520105948813094269, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.037', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.536', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.282', 'prec': 17}, {'__RealLiteral__': 0, 'data': '56.146', 'prec': 20}, {'__RealLiteral__': 0, 'data': '4.105', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1099.082', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.005', 'prec': 17}, 'traces': [5, 2, 0, 10, 0, 0, -11, 6, 0, 0, 5, 0, -4, 8, 0, 16, 0, 0, -4, 0, 0, 8, 4, 0, 0, 4, 0, -28, 4, 0, 8, 14, 0, -32, 0, 0, -5, -2, 0, 0, 5, 0, -10, 46, 0, 0, 7, 0, 22, 0, 0, 32, -1, 0, 0, -8, 0, 16, 30, 0, -14, 24, 0, 20, 0, 0, -24, 20, 0, 0, 7, 0, -5, -2, 0, 12, -17, 0, 28, 0, 0, 8, 27, 0, 0, -44, 0, 28, -6, 0, -14, 56, 0, 4, 0, 0, 26, -18, 0, 0, 29, 0, -22, 0, 0, 56, 6, 0, 10, 0, 0, -82, -26, 0, 0, 24, 0, 16, -14, 0, -14, 32, 0, -10, 0, 0, -59, 30, 0, 0, 30, 0, 40, -50, 0, -28, -10, 0, -4, 0, 0, 32, 36, 0, 0, 52, 0, -10, 5, 0, 24, 6, 0, 0, 0, 0, -25, -60, 0, 0, 20, 0, -12, 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0, 0, 27, 0, -38, 68, 0, -256, -80, 0, 98, 0, 0, -40, 40, 0, 0, 232, 0, 180, 111, 0, -157, 324, 0, 44, 0, 0, -300, 2, 0, 0, -90, 0, 24, 186, 0, 232, 0, 0, 89, 0, 0, -332, 16, 0, 0, -184, 0, 412, -60, 0, 8, -8, 0, -180, 0, 0, -240, 288, 0, 0, -32, 0, -52, 96, 0, 284, 52, 0, -63, 0, 0, 126, -24, 0, 0, 12, 0, 4, 64, 0, 91, 20, 0, 8, 0, 0, -82, -200, 0, 0, -14, 0, 110, -140, 0, -40, -130, 0, 24, 0, 0, -12, 168, 0, 0, 120, 0, 52, 45, 0, 152, -178, 0, -116, 0, 0, 26, -112, 0, 0, 142, 0, 147, -208, 0, -356, 25, 0, -192, 0, 0, 252, -54, 0, 0, -88, 0, -464, 17, 0, -120, -48, 0, 38, 0, 0, -74, 112, 0, 0, 42, 0, 244, 152, 0, -40, 82, 0, -108, 0, 0, 116, 140, 0, 0, -94, 0, -192, 24, 0, 136, 52, 0, -556, 0, 0, 197, -170, 0, 0, 156, 0, -55, 20, 0, -76, -214, 0, 206, 0, 0, 222, -88, 0, 0, 8, 0, 312, 46, 0, 47, -266, 0, 48, 0, 0, 166, 396, 0, 0, -168, 0, -28, 212, 0, 124, -162, 0, 128, 0, 0, -62, -49, 0, 0, -362, 0, -8, 151, 0, 52, 124, 0, 88, 0, 0, 224, -132, 0, 0, 96, 0, 98, 244, 0, -122, -199, 0, 42, 0, 0, 176, 164, 0, 0, 104, 0, -116, 131, 0, -72, 304, 0, 294, 0, 0, 180, 268, 0, 0, 101, 0, -16, 196, 0, -204, 72, 0, -48, 0, 0, -20, 23, 0, 0, 12, 0, 146, 160, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.5154457538861152, 0.0], [0.0, 0.0], [-0.7343156748007743, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9647300025632964, 0.0], [-0.8939456504741917, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7443203574851822, 0.0], [0.0, 0.0], [-0.4322612368480887, 0.0], [-0.4972659834677922, 0.0], [0.0, 0.0], [0.2735351850588909, 0.0], [-1.6581247287242147, 0.0], [0.0, 0.0], [-1.7573494567066483, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3836567677967325, 0.0], [-1.5638653594443956, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.22280721910290768, 0.0], [0.0, 0.0], [0.7084163628328198, 0.0], [-0.6048859446878744, 0.0], [0.0, 0.0], [0.11832131101504802, 0.0], [1.03493820015125, 0.0], [0.0, 0.0], [-0.8546733508344632, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.1643989873053573, 0.0], [-0.9058183155535133, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3855354445834205, 0.0], [0.0, 0.0], [-1.6710695037485468, 0.0], [0.5465661055746851, 0.0], [0.0, 0.0], [-0.806087759175197, 0.0], [0.4543997532722937, 0.0], [0.0, 0.0], [-0.06929602215422195, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3174162018263216, 0.0], [1.187048476732888, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8624161896734148, 0.0], [0.0, 0.0], [-0.3117858917747564, 0.0], [0.8119027665484926, 0.0], [0.0, 0.0], [0.4197155634140162, 0.0], [0.060988217356944936, 0.0], [0.0, 0.0], [0.25991931574360927, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.18052297806560866, 0.0], [1.2175869790769727, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9573604448462444, 0.0], [0.0, 0.0], [0.5807571373898568, 0.0], [-0.08473875994972377, 0.0], [0.0, 0.0], [1.2904492521623165, 0.0], [0.7180681803845935, 0.0], [0.0, 0.0], [1.4424275805406512, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.19872260788311977, 0.0], [0.12615681715593136, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8613456801557661, 0.0], [0.0, 0.0], [0.6653819461332742, 0.0], [-1.2211925664507397, 0.0], [0.0, 0.0], [0.4170153841324703, 0.0], [1.148370846717967, 0.0], [0.0, 0.0], [0.2342184233911022, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.7558319435113328, 0.0], [-0.03571834038059188, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.20851392080383058, None, None, -0.3301110506369205, -0.3106913970257257, -0.28467185180308224, -0.4055626119189381, -0.42078585449596595, -0.3928829775742404, -0.2989010915244218, -0.2405787880992377, None, -0.28087319321175486, -0.4074210037124221, -0.21352146492931665, -0.1488680562486045, -0.1834701126118447, -0.21634994993753828, -0.2643851403793314, -0.17055766475753867, -0.20310938407420273, -0.12179226571035583, -0.23995409002558746, -0.35453508506174963, -0.42053328110698074, -0.19056745847978052, -0.3254810232958626, -0.3494156270167054, -0.26712662981293506, -0.33988377911960826, -0.37229448497961165, -0.1481244618434368, -0.35375913045308566, -0.3337374892014112, -0.2769702820073782, -0.1292388688725186, -0.27567212489893683, -0.27237248771393135, -0.06581046048403189, -0.35207418016259895, -0.3120818815194867, -0.26509276859427616, -0.18820786791564217, -0.1925584158878097, -0.17083340468455302, -0.22620640311006893, -0.1286887477256827, -0.25919807441742254, -0.22561234263133548, -0.39141170286163485, -0.23729395980186574, -0.26046689325127675, -0.3629069958679902, -0.2534940377817711, -0.21427790140167635, -0.13613442801857534, -0.3445007809652674, -0.3745806518746515, -0.2771787242877369, -0.12001514717474128, -0.35637219502215445, -0.21378914999854198, -0.20861230954516316, -0.06775792326083716, -0.3448574296110208, -0.2887748591741767, -0.35873961621962774, -0.37666675002465977, -0.2516675765999515, -0.27727624084695307, -0.29006466425177985, -0.22730891922403937, -0.15165887321882932, -0.09706638431369971, -0.3158871599568545, -0.2178694920302029, -0.3238410902570039, -0.1532261325139231, -0.249330803651083, -0.33737892998083996, -0.15821867397771655, -0.3666756612781662, -0.4228534007817541, -0.25141665444333866, -0.12204112492470172, -0.06919596618723411, -0.23579137321569227, -0.3509381714594683, -0.19416327047319062, -0.282160448996708, -0.25606337832539405, -0.3097792379875328, -0.22608212549811543, -0.18263068826933984, -0.3496446605877852, -0.248061945363457, -0.14603268969167943, -0.4145049074507398, -0.23992944754272608, -0.36322647192511287], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.6287052508317248, 'hecke_orbit': 60, 'hecke_orbit_code': 265712378048422021, 'label': '8325.2.a.ch.1.3', 'level': 8325, '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': [24, 30, 32, 28, 42, 39, 44, 46], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [112, 111, 111, 109, 102, 99, 92, 96], 'Nk2': 33300, 'analytic_conductor': 66.47545968271592, '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': [8325, 1, [3701, 7327, 5626], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1117, 'dim': 285, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11, 13], 'hecke_orbit_code': 33562757, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 8, 8, 9, 9, 10, 10, 13, 13, 16, 16], 'label': '8325.2.a', 'level': 8325, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 37], 'level_radical': 555, 'mf_dim': 1164, 'mf_new_dim': 285, 'num_forms': 76, 'plus_dim': 135, 'prim_orbit_index': 1, 'relative_dim': 285, 'sturm_bound': 2280, 'trace_bound': 13, 'trace_display': [-1, 0, 0, 2], 'traces': [285, -1, 0, 289, 0, 0, 2, -15, 0, 0, 2, 0, 8, -2, 0, 297, 0, 0, 14, 0, 0, 2, -4, 0, 0, -18, 0, 4, 22, 0, 12, -11, 0, -10, 0, 0, 1, 4, 0, 0, -4, 0, 18, -20, 0, -28, 14, 0, 291, 0, 0, 10, 12, 0, 0, -28, 0, -10, -44, 0, -2, -32, 0, 301, 0, 0, 16, 46, 0, 0, 2, 0, 48, 5, 0, 4, -46, 0, -18, 0, 0, 4, 6, 0, 0, 8, 0, -36, 32, 0, -34, -72, 0, -94, 0, 0, 54, -7, 0, 0, -4, 0, -6, -22, 0, -64, -28, 0, -12, 0, 0, -32, -18, 0, 0, 22, 0, -8, 34, 0, 343, -22, 0, -56, 0, 0, -18, 5, 0, 0, -6, 0, 22, -64, 0, -114, 14, 0, 32, 0, 0, 18, -2, 0, 0, -152, 0, 3, 16, 0, -88, -48, 0, -18, 0, 0, 48, -28, 0, 0, 12, 0, -2, -98, 0, -86, 6, 0, 355, 0, 0, 48, 12, 0, 0, -60, 0, 14, -12, 0, 48, -76, 0, -12, 0, 0, -18, 184, 0, 0, 68, 0, 40, 170, 0, 533, 100, 0, -140, 0, 0, 52, -12, 0, 0, -40, 0, 158, 2, 0, 50, -54, 0, 40, 0, 0, 52, 74, 0, 0, 0, 0, -6, 56, 0, -18, 40, 0, 72, 0, 0, -22, 118, 0, 0, -112, 0, 32, -68, 0, -2, -23, 0, -130, 0, 0, -24, -36, 0, 0, 38, 0, -16, -22, 0, 161, -50, 0, -8, 0, 0, 52, -26, 0, 0, 152, 0, -112, -118, 0, -34, 74, 0, -110, 0, 0, 30, 96, 0, 0, 10, 0, -68, 280, 0, -176, -26, 0, 403, 0, 0, 102, -38, 0, 0, 15, 0, -68, 72, 0, -74, 88, 0, 48, 0, 0, 82, -184, 0, 0, 74, 0, 88, 136, 0, -172, 54, 0, -172, 0, 0, 40, -68, 0, 0, 144, 0, 6, 138, 0, -200, 296, 0, -100, 0, 0, -60, -15, 0, 0, 156, 0, -110, 36, 0, 28, -40, 0, -158, 0, 0, 44, -4, 0, 0, 322, 0, -108, -86, 0, 357, -172, 0, 236, 0, 0, -52, -72, 0, 0, -42, 0, -88, 244, 0, -296, 136, 0, -174, 0, 0, -168, -8, 0, 0, -46, 0, 86, -110, 0, -204, 181, 0, 88, 0, 0, -64, 48, 0, 0, -96, 0, 36, 206, 0, -20, -20, 0, 46, 0, 0, 108, -36, 0, 0, -218, 0, 56, -262, 0, 80, 38, 0, -66, 0, 0, -16, -56, 0, 0, -150, 0, 116, 136, 0, -334, 56, 0, -260, 0, 0, 180, -134, 0, 0, 214, 0, -20, -48, 0, 14, -50, 0, 232, 0, 0, -100, 232, 0, 0, -36, 0, 48, 14, 0, 210, -12, 0, 12, 0, 0, -12, -18, 0, 0, 132, 0, 20, 148, 0, -4, 194, 0, 393, 0, 0, -90, -30, 0, 0, 0, 0, 104, 20, 0, 160, -98, 0, 104, 0, 0, -168, -134, 0, 0, 0, 0, 140, -148, 0, 42, -75, 0, 238, 0, 0, -102, 6, 0, 0, -84, 0, -22, -12, 0, 42, -100, 0, 157, 0, 0, 256, 74, 0, 0, 0, 0, -238, -44, 0, -46, 2, 0, -494, 0, 0, -8, -58, 0, 0, -224, 0, 94, -158, 0, -184, 102, 0, -84, 0, 0, -174, -34, 0, 0, 100, 0, -96, 130, 0, -150, 180, 0, -62, 0, 0, -80, -199, 0, 0, 18, 0, -90, 218, 0, -218, -82, 0, 96, 0, 0, -9, -92, 0, 0, 86, 0, -56, -210, 0, -146, 128, 0, 64, 0, 0, -70, 68, 0, 0, -106, 0, 184, 170, 0, -32, -56, 0, 222, 0, 0, -24, 106, 0, 0, 190, 0, 190, 24, 0, -42, -200, 0, -342, 0, 0, 62, 268, 0, 0, 4, 0, -72, 112, 0, 192, -182, 0, 80, 0, 0, 96, -34, 0, 0, 322, 0, -186, 54, 0, -88, -220, 0, -192, 0, 0, -96, -304, 0, 0, 380, 0, 20, 36, 0, 511, -132, 0, 100, 0, 0, 80, -178, 0, 0, 94, 0, 84, 122, 0, 56, 38, 0, -216, 0, 0, 34, 242, 0, 0, 178, 0, 6, -188, 0, -2, -34, 0, 0, 0, 0, -10, -4, 0, 0, 96, 0, -94, -46, 0, -418, 135, 0, 98, 0, 0, -174, 112, 0, 0, 60, 0, -20, 256, 0, -364, -84, 0, 206, 0, 0, -154, 102, 0, 0, -336, 0, -4, -132, 0, 214, 596, 0, -96, 0, 0, -154, 50, 0, 0, -56, 0, 2, 120, 0, -144, 36, 0, -174, 0, 0, 170, 268, 0, 0, 606, 0, 198, 190, 0, 126, -164, 0, 317, 0, 0, 38, 182, 0, 0, -152, 0, -68, -272, 0, -416, -78, 0, 330, 0, 0, -14, -50, 0, 0, -16, 0, 230, 122, 0, 278, -228, 0, -26, 0, 0, 76, 94, 0, 0, -248, 0, -116, -136, 0, -172, 188, 0, 146, 0, 0, 310, 6, 0, 0, 460, 0, 98, 216, 0, 239, 26, 0, -196, 0, 0, 100, -126, 0, 0, 12, 0, 138, -120, 0, -12, 132, 0, -126, 0, 0, 64, -140, 0, 0, -216, 0, -148, -74, 0, 124, 274, 0, 912, 0, 0, 46, -176, 0, 0, -254, 0, 40, 296, 0, -326, 246, 0, -346, 0, 0, 220, -166, 0, 0, 332, 0, 106, -168, 0, 110, -402, 0, -122, 0, 0, -88, 284, 0, 0, 6, 0, 114, -358, 0, 702, -94, 0, 58, 0, 0, 46, -182, 0, 0, -280, 0, -246, -206, 0, 308, 374, 0, -184, 0, 0, -84, 76, 0, 0, -142, 0, 24, -128, 0, -112, 182, 0, 22, 0, 0, 344, 184, 0, 0, -424, 0, -252, 304, 0, -7, -38, 0, -274, 0, 0, -116, -83, 0, 0, -36, 0, -184, -432, 0, 134, 38, 0, 10, 0, 0, -108, -222, 0, 0, 328, 0, -200, 88, 0, -190, -56, 0, -278, 0, 0, -142, -360, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 49095932
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 265712378048422021, 'source_is_minimal': False, 'source_label': '8325.2.a.ch.1.3', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 265712378048422021, 'target_is_minimal': False, 'target_label': '8325.2.a.ch.1.3', 'target_level': 8325, 'twist_class_label': '185.2.a.e.1.3', 'twist_class_level': 185, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 49095933
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 265712378048422021, 'source_is_minimal': False, 'source_label': '8325.2.a.ch.1.3', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22517998170407837, 'target_is_minimal': False, 'target_label': '925.2.a.f.1.3', 'target_level': 925, 'twist_class_label': '185.2.a.e.1.3', 'twist_class_level': 185, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 49095934
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 265712378048422021, 'source_is_minimal': False, 'source_label': '8325.2.a.ch.1.3', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 67553994444113537, 'target_is_minimal': False, 'target_label': '1665.2.a.p.1.3', 'target_level': 1665, 'twist_class_label': '185.2.a.e.1.3', 'twist_class_level': 185, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 49095935
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 265712378048422021, 'source_is_minimal': False, 'source_label': '8325.2.a.ch.1.3', 'source_level': 8325, 'target_conrey_index': 149, 'target_dim': 10, 'target_embedding_index': 5, 'target_hecke_orbit_code': 22518066889884573, 'target_is_minimal': False, 'target_label': '925.2.b.f.149.5', 'target_level': 925, 'twist_class_label': '185.2.a.e.1.3', 'twist_class_level': 185, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 49095936
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 265712378048422021, 'source_is_minimal': False, 'source_label': '8325.2.a.ch.1.3', 'source_level': 8325, 'target_conrey_index': 149, 'target_dim': 10, 'target_embedding_index': 6, 'target_hecke_orbit_code': 22518066889884573, 'target_is_minimal': False, 'target_label': '925.2.b.f.149.6', 'target_level': 925, 'twist_class_label': '185.2.a.e.1.3', 'twist_class_level': 185, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 49095937
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 265712378048422021, 'source_is_minimal': False, 'source_label': '8325.2.a.ch.1.3', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18014398543036601, 'target_is_minimal': True, 'target_label': '185.2.a.e.1.3', 'target_level': 185, 'twist_class_label': '185.2.a.e.1.3', 'twist_class_level': 185, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 49095938
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 265712378048422021, 'source_is_minimal': False, 'source_label': '8325.2.a.ch.1.3', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 1, 'target_hecke_orbit_code': 99079191835708304, 'target_is_minimal': False, 'target_label': '2960.2.a.w.1.1', 'target_level': 2960, 'twist_class_label': '185.2.a.e.1.3', 'twist_class_level': 185, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 49095939
    {'conductor': 105, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 265712378048422021, 'source_is_minimal': False, 'source_label': '8325.2.a.ch.1.3', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 45035996307268457, 'target_is_minimal': False, 'target_label': '9065.2.a.k.1.3', 'target_level': 9065, 'twist_class_label': '185.2.a.e.1.3', 'twist_class_level': 185, 'twisting_char_label': '105.104', 'twisting_conrey_index': 104, 'weight': 2}
  • id: 49095940
    {'conductor': 555, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 3, 'source_hecke_orbit_code': 265712378048422021, 'source_is_minimal': False, 'source_label': '8325.2.a.ch.1.3', 'source_level': 8325, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22517998170413757, 'target_is_minimal': False, 'target_label': '6845.2.a.f.1.3', 'target_level': 6845, 'twist_class_label': '185.2.a.e.1.3', 'twist_class_level': 185, 'twisting_char_label': '555.554', 'twisting_conrey_index': 554, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4722850
    {'charpoly_factorization': [[[-12, 11, 14, -8, -2, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 2}
  • id: 4722851
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 265712378048422021, 'p': 3}
  • id: 4722852
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 265712378048422021, 'p': 5}
  • id: 4722853
    {'charpoly_factorization': [[[-302, -268, -32, 32, 11, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 7}
  • id: 4722854
    {'charpoly_factorization': [[[-96, 16, 48, -8, -5, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 11}
  • id: 4722855
    {'charpoly_factorization': [[[256, 148, -60, -28, 4, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 13}
  • id: 4722856
    {'charpoly_factorization': [[[192, 356, 12, -52, 0, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 17}
  • id: 4722857
    {'charpoly_factorization': [[[-8, 78, -66, -38, 4, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 19}
  • id: 4722858
    {'charpoly_factorization': [[[192, 784, 208, -72, -4, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 23}
  • id: 4722859
    {'charpoly_factorization': [[[192, 304, 48, -32, -4, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 29}
  • id: 4722860
    {'charpoly_factorization': [[[324, -702, 342, -30, -8, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 31}
  • id: 4722861
    {'charpoly_factorization': [[[1, 1], 5]], 'hecke_orbit_code': 265712378048422021, 'p': 37}
  • id: 4722862
    {'charpoly_factorization': [[[-96, 16, 48, -8, -5, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 41}
  • id: 4722863
    {'charpoly_factorization': [[[2528, 336, -752, -80, 10, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 43}
  • id: 4722864
    {'charpoly_factorization': [[[-978, -520, 592, -92, -7, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 47}
  • id: 4722865
    {'charpoly_factorization': [[[528, 4816, -40, -144, 1, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 53}
  • id: 4722866
    {'charpoly_factorization': [[[576, 998, -1134, 302, -30, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 59}
  • id: 4722867
    {'charpoly_factorization': [[[3296, -112, -432, -8, 14, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 61}
  • id: 4722868
    {'charpoly_factorization': [[[-10952, -9486, -1314, 94, 24, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 67}
  • id: 4722869
    {'charpoly_factorization': [[[7104, -6016, 1632, -132, -7, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 71}
  • id: 4722870
    {'charpoly_factorization': [[[-368, 2592, 200, -192, 5, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 73}
  • id: 4722871
    {'charpoly_factorization': [[[-19508, -8542, 1562, 134, -28, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 79}
  • id: 4722872
    {'charpoly_factorization': [[[4818, -4820, 376, 178, -27, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 83}
  • id: 4722873
    {'charpoly_factorization': [[[-22944, 16400, -528, -248, 6, 1], 1]], 'hecke_orbit_code': 265712378048422021, 'p': 89}
  • id: 4722874
    {'charpoly_factorization': [[[166976, -63680, 7184, -88, -26, 1], 1]], 'hecke_orbit_code': 265712378048422021, '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': 60, 'label': '8325.2.a.ch', 'level': 8325, 'portrait': 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4u2JmAhNnBsrkZ3YGnXBY1AIEkJQ027oVntBxw7B5EJMNZy6daYbl9zesFjquVzwdaUnZt6NBsRQlriWNDp15nvBEw1BL70OX0u4OApwdGzKccXU8J6n1df3+M7b4BQTrLvWJvjc4ozOXPPWw4sWK67Yp5feucyW6YmOXZmmrMLdeaX/ew4piyuJCx2NOdWUs4N2/zMOz3zY2/e9tHJ2fZPMUhWxcRPfqsh8de6/a0G+PJKh3MrgkZo333sxPMv7Zz5HTm31H/pVdtPeRsnNzK3OM3CigP44orHYkew2NEsdRIWVzRnV+DQomDjzAq//MOLvGR3gxNz05w+1+T0gsfcouXsQsrJec25bsrk9JCXXdXjxkshkHVCFTK3VOPMgsfZJUE/gjQ11AJDs6aZmkgxwLGzKas92LXJp1mPsFaACOgNDDs3RyyueGCdFFnpQZSCxbLUidm20ac7UAhlESaiXfPZuWXISl9w7LSHNh4b2pJWTRD6kKaCfiQ5uyQ5s2iZW04JwyH4KTdd3uOlVwhm23UWl9ucmAs5vQBzCylzSymnluDQouW6yxf49z+8zJbJNsfPTjO3VOfcUsBCR7C0YlhaTVjuaBZXDee6kkNLMDt5mre+PEiHeur+X/jpHzLn7br8fqH0u6JhSK3e/lZD5QVvf2uDzA995C+Zmpxg7tz8r33o43f/3Ie/8Fi4tKyYnUr4Lz+jmGj2GUQ1klSSaoHWAm1ynQ3WAkIjpOXwwhT//k8Fv/Zjc1x7fkyrPk2z3qLdCGk1fCbbirlFxdllj688UOPz96VcvKPPpRekLC0PuGxHxPe/3pCkCoHlrx6sca5To64jjp5R9Hotrr5Ic241Zc8+n907JAdOw02XQKcLsfEIvZiZJuw/VadRTwhVykRLsNKFGy7rcuhkyO5dhiOnI5475H6fv2PIoTnLRCtiaTXms19pYIVCa80rr+lz87WWsys+11445MKtPmnSpj+os+dwjbMLgvllzbnllLklw/ElwVwv5prdi/y7H+yxsT3FsTOTzC3VWVjxWexIljualW7Calez0jesDATzA0kSR2ydTPjul531tsws32IW/4QTyW03T299jWlPtP/1g/d+mpte/ve+1ZBZ9/a3ksHf9/6PMzk1qxbnT/67E6fO/utHnjqqjp5LmOsrloYJ11xwjt/66QWuuajB3OIUiytNFjs1llZ9ljoey11Y7miWV1OWuikLHTixLPDqQ26+YonvvSXm/I1NVnptzi3Vmc/Zq2NY7BiWu4bVgWE1svSHKRvaCTs3GUAQ+paT53yEDNm1UXH+VsvWjX3mliOeOtDixRdbGvVlnj04TasZE8c+G6YMgyFctnPIh++c5JIdKVFkmZmQJHpAqxby3NEhdb/JNbtTnj4cM7cYsG1DyPlbYOfmGKUSTi5A4FuEsOzalDLVknQHIb2+z2rfZ2lVsbQCix3DUkez0NGc7cDiULNzW4/vfeUCN1/qUfPbnFlos7BcY2HFY2lVsNwxrHQTlrua5a5lsQdnu4q5lZQbLj3De/7hApftrLPSbbO4XGdxdRqCi3RzYtOvXXrJtl85cWJev+gl3/2ths6a298qgO/ft59arVY/ffrkznsffPod+w+d/tUjx05hUHQHgqWMUea6CdddOMdv/vQiV1/Q4NzyJIsrTZZXHciXVz2WV6HTNax0U5a7KUurlrmO4HTPgujx1pd3eONLDBdsqRHHDZY7NVZ6AZ2uYrkn6PYFw8gSpxatQUlL6EM9tEy2LRunEzx/yKEzMc8cDDFpk9ffEOP5Kzy2Z4LztsAXHk55+ZUh5zoDap4i1QnTU5AmPp6fsrjY4GXXrvKFB1qcvwUePRDh0+B1LzGkYsAzhzRHTtbwZMCmKY+ppqAeCoJAoASkBuLEMoyh27es9AzdvmGlb1jsWQZas2t7nzfe2OGtL43BtFhcmeDcUp3Fjs/SqsdyB1a6mk4vZaWrWekZlnqCM13F/GrKdbvneM9Pn+OKXXUWOxOsdBt0eiGdXkAUWVqTW/FqW/9Ne/ryv9i+fdvxKBoOLrr4km81lIrb3xqAnzpxgE0bZ4N9+w/+6N69B95734NPiHOLXRknMIwtvaFldSjoDATnBpKz3YQbLj7Hb/zEItdeVGNhJQd5yEo3YLnrsdIVdLqWTk+z0k3p9AzLPcu5ruBMxzA12ec113W56dKUXZsU7brPardG6EtAEacSYwTGQn8ICMNUa8iBUxZjY25/tEnUr3PRtoCbr+qTmBXufnySay72OXC2R2e5zY1X9fnKYyGbpi17jln+8VtW2XM0ZNO05I7HFTdfpljqr3L4xDTX7I65+5kBadTgpssDLtwxZJD2+PJjCrTg0EmPdsPDE9AfSIwVaGNJUkAavMDQ6VmarYQdWyJeelmf17w4ZUOzxtzSBIsrdZZX3bFZXhV0etDppnR6KZ2eptO3LPUkZ3uChW7KDZfM82s/Mc/VF4QsLE/Q6TVY7Yd0+z69gUc/UgyGgmFSN9t3XWl3nnfhz5x3/oUfWFxciK+8/G8HyP9WANyYWJq096Zjez910fGz/nseePBxf6Ur6A0Mg6GmHxn6Q0tvaOgOBZ1hBvJOyk2XnePdPzHPiy8MWFmdYH65RadXY6UbsNLz6HQVnT50e5bVfspqT9MbGDp9y3xPMN+DREdcffGAzdOaXt/yhhsjzttsSLXEk5Y4gbueqnH8XI0tUynPHqqBaXDpdsW1lxjCWp/HDvSZX2hyxXlN2pPLPPC0z/UX11jsr7C83GbzZsvDexQ/+Koej+zx2L7RZ6HXYXlpmmsv6/PAs5rp+iRXXNTjXKfDw89PUveaXHeJZffOIcgeTx0RbJxOmJtPuPspn2GikBK0sZy3JeY1N8Z0e4qtU4ZrL4Y4brDUabDUCVnp+az2FZ2eZLUHq33Nak/T7WtW+4aVvmVpIDnVEXSGETfvnudXfnyZ63eHzC1N0OnW6fZrdAc+3b5Hb6DoDSW9oWClq1leibny6uuShZ7/r/7h3/+ugxPtxmdroWe+1dj6lgeZ/f6AXj/64SMHnvyt5dMHp0+f6tNqKIyVCCGRQiBEihAGIQRSWKQAJQye9Hhk/ybe9Yceb715ie971RLnb4s5u9gmDOrUw4BG6NOse3TrktbAZ6Lp0R9qegPNpsgwiCzdYcjSfI2TJyxxajh1NiUMLSAIlMWTgv5AIfBJ+x4vOk9w4VbLzm19It3li48o9h6c4rUvDrn2smU++EVLIBqct63P0w8otk0qZtp9aqpOnPic60Kz5rF9k+DJvTHX7q5zyzUL/PHnBgR+i1ffYPHDPl99OOYLDzV5/kidC7Y2OG+LZnYq5vyZhCvP0yhl8JQFLI0wZHYyJE58uv2AZw/49IYe/RyIA+gNLb2+++zdgaY3sKwOLCsDmO8r5pYtjXaHn33DPH/v5oirL2hyZqFFp1enmzF3d6DoDRT9DNy9gWU4tMQpfPXuR/ygMfNbjz762NIrXnrdzw36/T+uNxr/5wI8ifsI7I8f3v/gu/c+/bVpmy4jhEc9lKTaOrsNBQKE1A7Y0iClRUmLpyyBlDx9YJYn9jfZf/ocb3lpj5dePmSy1Wap06C5WqM9COj1PXdyhpLB0KMfeQwjyzA2xIklSSypdvc4DbAGpBL4nqAWCCZbgqkWbJ4xbN/UZ2aqw5ceg3ue8JFmgte+2OdFl3a57/mEeNjm5hcJOoMB5xab3LTbMDPZp+6FDFPF/GqCMoIX7fZotCIe31fjFddOcOPVXR7fp8BO8OLLA37sO5f4ypMxdzzSZM/xGjtnFZun60y1Gky0oB6C71mUBGNhzxHnJiWpIE4hSnCfMdIMIsMwMvSHhn5k6A1gNYL5nuRcFyIz5LZrlnjTSzv8wKsNadrm7ELTsXY/oDvwC9buDyT9SNAfWvoDTT/SxInFGMvywhk+/pdfmO4Okv/0Ha97hbfa7f9hu/WtA/m3DOBJtIAQ6Y+tnP3qu5dPfW1juzYgTX3i1JJqQxqCtRIQCOGWYgdwgZIGpRzAfWWo+4KFfp0/v3M7X31ilZdfucI7b1vhyvN7bJhssLjSoDsI6Q/8DNjK3WNBlEiSVJCmbql3tVsuqPQ8qAXQqBumWwnbNvZJ6XHgVMJH765x+ESTybDO9Zd73HTVKg/v73D7g21uuLjGzi19PnynQImQdithpRdhLCgBs+0+q90Ak9Z508vP8edfaHDhXI033tAnTha5+5kNJLrGSy7fyBuvX+XiHR2++nifp080eOpIwPZpyXRb0AgFge8uQilACIuxYIwlSbOLNbFEibuQhzEMYugOBcuRYKkLwhtyzSUrvPM1K7z8cs2Gdo2V1SYrXcfavaFPf+AkST+S9IeC/lAwiCz9oWY41AwjzTC2pBoMiv3HVzj2p3dsPNfh3d/7915mT82t/NG2TZP/ZwD8Xb/2J2zaOuQ/vPczP/LWly++Z3vzmZm6P2Sq3aQ/FMhIYazA4UwgIJMmCikFSmqUEihl8JUh8CyhZ6l7guWhYrEzxcfuavLQsz1uvnqFd756hWsu7LBB10nTkP6wRm/gM4g84kRlPrpEG4GxAoFFCksYGBq1lDCICfyIU4sRn3tUcvBkwJGTUygTcuGWgMvOV7z40lVUOM8zh1psm2xwxQWweXaZpdU2V26TpMbypUdCor5kspnyupcM+ezdCcfPtrjkIp8zK0OeO+yzY9MUV58/z31Pd3ngOUEUB1x6/jSX7gi5dHuXQ2eWOHgKHtnb4MDhJg1PEHqSZmip+SClC6qsdRdrqiFOIdaCXiRYHQpWE4hNirFDrrt4lXe+ZpWXX6nZMh0yHE6w2KnR7YX0hgH9gUd/qNw9EgyGkkHk+kbdquDuwyi/iJyj04sVRxdX+U8f/NrG1cHB9/yjN8fpmWO/+cHByhQXXP3jf3cB/tUvf5zbXvcov/qbV/3AA08e+m8N8+Dkj71hSLs5BSJCCJDCOkkiFAKQQiKldMytFJ4SeJ7Gy+RD4BkC3xL6lkagmawJupHP8uoUn7inzZ1PDdk01ecdr+xw6Y4hw0GPK8637NisiBIfrRXaSGwObmnwPc2xOcuRs4KVgeEz9zU4tTCFjX2maoqtGzx2bfa4YBtcceEqRi7wvs82WVqa4IZLPa64sMNXnxKI1GfjlKTZSOknAdJKsBLlBXSGgrklweW2wStf3OX+x+tsnQm44Ypp/sF3LvCBL3R5ZF+T3tBncaXF+VvrXLKlz0t2d/nuV3Q5vbTEZ+4LWeyHHDvjc+pUgK8EUkoEAmMt2kBiLDo1TG1IuOryPlGUcOmOiLe9MmLjhGK6FZIkNc7M1+gPAvqRW+UGGbAHkWQQCQaRYBjhVoIoZ23DILaZ1LP0Y0E/hm4k6KSK1bkznDzy1Mzi3O7/1k+vSS6//v6PfOhDH+WHfuh7/+4B3PbeC43Hxd4nLnn7PQ+f+IO5EycadwwUb3lpyuapIamWmeZ2AM+DSSndXUnpwK2yR88BMfAEgW+o+ZZ6YmnElomaZqou6MeSbtzkyMkmv/GRaTApIk158VV9zt8ck6ZgrMFal8SRQiCVwPMD9h0P2HOwRrPm0QokMw3B7AbJxmmPrbOKXVs0l+xaQYtF/vsn2xw7PskNu30uPU8zSLs8+EzIZN1nw4RlshXTqDspZIykM1Qs9SyLHU2nV+dlV6zw6J4+e48rJts1XnL5JD/xpkX+x6fg8YNNegPLStdjbqnN5pkGG6eG7Now5F+8vU+70eHpI7DvhMT3LUpZhDDuOGYZ3TSF8zZrbr4yRSc+SRpibYNh7HN2IWAQuRVtGKtCvg1iwTCSDGPBIIIodqwdxYYoNpnksRnIYRgL+gn0YsFyLFkeWC6e6fPGm1Y5c/bY5H3PbfmDj9xxS/offuPyj/3A/+8v7Ed+8x1/dwD+X/7g/bzxXTvVv3hz9NYLZp7+4GtffKBWD4fsP5HQasYEwYB6za2vUjqJIKWfgdtmzG3xPVcb7XuCwFdEviSKDWGsiRJLPTFEiSGOLe0UosQQpRCngmEiiXRIomvsPdjkqb2grcVB22ljX0KgXM1HK4QrtkC7DhNNyVRLsWHSY+M07NwcsWV2hcQu8d8/OcGhwxNce4Higu2SC7cv87XnUuYWJ3jx+ZKptqEWDAhliFWCVEuEtaQ6ZrlXY27R59pL67xod5f7Hq+xaUrQqLW4drfhZ9+6yH/7lOG5Uy1WeoaVrmJ+2WNmsslUu85Ue4J2I2G2mbDr2pjQT/G9FKW0WwkBi7uokkRxbt4jSRVJqogTRZRkj7EkSiRRLBnGkigWLkCNBVFsHagTQxS54+y+dnJkmIyCu5NIlhMwaUSvn3LvU4K9RxNuf2R/45Ybow/+3m8tmp/6kcYnf/EHf0dfff0/+vYH+D/+j3/BseWGOn/D6be971MrfzzlPVd7x2uGLHQFix3JmRXLxskhzboEQOBS0blToqTFVxZPKXzP4nmSwBfuJPiCKFDEiQN6klji1EX0SVq5a0i1RWuDNji9bSjALQQoCZ4E34fQE9RCQSOUNBuKiYZkakKwcTpl1+Y+reYKn7w/5u5npllZaHPVTsWuLT4X7xiixQpfeqRB0/eYnVK0GkOeOQTPH/a4coelHymuvjjhqgstZ89o5pcDBsMGr7++y71PDzhwStGsS8KgzZUXGH7lRxa567kBn71rhsVVy66NmuWOx2RbMdH0aTV8mnVLLTSEgSH0NJ5yUku6Q4q1uISVEaTG1e6kqSBJJXEqSBJJlDjnJU4EcWKJY4gSTZwY4gpxREl+dwm4YSIYJNBLBJ1Y0kkhjiKk6bFlesDMhGHT5IAXXbzArVcdqb30kss/NH/ogr9/8Y4NH18+/rt6auc//PYG+AYvlf3h4vc9v//M7z74xHxN2/P483v6xEPNoKd5/nCXt93a5R239ZlsGeeQSINSuc+r8X0Pz/MIPEXgO7aJfUkUCOJEuJOTKJIU4kQ6ByEtbb9UG7R27oK2mVOSuSVCiEwCCTxPEHiCMJDUQkmzLmg3LJMtw6bpiNmpLqld4WP3Sj7whQ1srNW4aqdg5xaf87Yadm1Z5pMPWpaWaly6WTHVhlYjYe6o5NxySHA+RIlgdkIyOQkHjliWVw1nF2pcfF6NV724y+fuqbGhBWEQoOQkV14o+Mk3nsOX5/ir+6Z4/lSNTasJGydTJpqKVl3RqEvqoUcYQOiD5zmHSQrnPBUgx13Y2oDWglSTAR0S7bzsJNGOFBJDnD1GiSFJIEpc6UKUZMydCgaxoJcKVhJBL7Gkw4iJ2irf+/pF3v6qLm+4IWW1m9IbRLTqAb3BoVoyDP5gMa15VgR/huOZb0+Af+gjnybV5ke+fM9zv3nqyMn2pknFalKjF4ckIoVGwpceDnnw2Rpnlpf5x989YKqdMgxdxtFTmsDz8RMf39OEvkeUKAfwjLkd4wjHRBkrpSkkGrTOrCvjAi5jbN7DmYHbAVwpkQWtDiC1EBo1Q6ueMtlKmZ0cMDO1wv17Yz50e519RyY5b8Lnws2wfXPA9k1wyc5V+ukqD+9pU1c+s1OKyRZMtiKmJlKCwEMId3ENooCl1YSVvqXTSzm3HLBzc4sbLz3H7Y/02XeqTSNM8FWAEBNcuE3xQ69e4LpLzvGh21s8/Owkiz2Pje2UyUZKoyap1xShLwh9ie+7WEUpMvvQodzieliNoQB6qk22ujlSSFJDqh240wTi1Jb3xLkyw1QwTAX9WNBNBaspDAcpNh2wodHlZ75nkX/xAz2aNY9Op4U2Pkr6LK4EDOOAYXS6bbzWf1eNFwdPP/rZD1x9/Zu+/QDeXV1FSvnjf/KRT757ce7khk0t6CWWmjLUlaCvPQbaI/F8VqKA3/xowJ5DK7zpFT1eeU2XTTMx3W6NQRTixwGh7xP5HmHi7L04cbUiSSKJs5LZJM08bU1m/ZExt8RYSnC7JGXG3OAplzAJfEstMNRrKa1aylQ7YsvMKnOdPu/9jM+XHp1mabnJRbOCnRsF2zYGbN8oOH/rEC9Y4c/v9jh8osnuTZKplmSiqZEy4tS8JfQkUoC1gjjx2LVxlUfQrPYVy6uWuaU6u7fX+O5Xdvj4VwOOzoX4XoIQPsY2SVLJi89fZtf3r/Klx/t8+EvTPHa0ybYpwUxT06xpaoEg9AWBL/E9gadwgbMURU2GxV1kxuKcFu0An4M8yUjBrYIQa1frEqeCKIUoFQxS6KWSbgKDxKD7EdtnVrnl2hXefEuPN1xn8ESD5ZUwy234xIlPHHsMY5/ewGelu7BhesvgPS++6c2q2+3+YavV+vYB+PzSMiniHzz+0APv3rt3z8bAc1k3KwxKCDwpqKWCgRb0Up+B9OjEAX/+tRp3Pd3l2ku7fP+rB3zHDavMTET0hzUGGciT1CdKvCJQSlNFoiVpKkm0IE1lVhsuSq1tnK9uM3CLbOlWyrkOvjIEviEMNPUwpVWPmJnsMUgGfPUZy0e/NsHDz04yFfhcuc2yZVqyaUPA1lnJ9k0xF2xb5umjAz5z7ywTymN2QtBuCtqNhE5f84UHa7QCixAOWIPI4003R3z+IVcT0+kZzi17bN/Y4i0v7fHw3i57DgQ0wxQlhQO5aTCMndb/oVd12L3lHH9+1yoPPD/J8eU6m9uCiZqlERhqniHwwVMClblQjskhLz8ymVQzplzh0gzojiAg0YJEZ1lRLRik7t7VEMWGNI5p1nu85bXLfP+rV7n2Es2mKY/hsMlqLyBJfZLEJ049kkQRxT5R7DGMPYax5MCBPRuFP/3ul73sRhMP598f1L75jc3fVIAvLK6wsNxDIn/4Q5+4+z9/5vNf3RCaLkJIfJUlI4RLLfsSAm2pKUE/FfSVzyBQnFwNOf1Qg4ee6fPxK7u87bY+r7t5hemJgDgOiJKAOPFJUo8kA3qqFanOEja6BLixGXObsqZMCJsFla6Ow/MMga8Jg4R6GNOqD9AM+Mrjko/cOcmzRyYQSch5U5Ytk5aZScXsdMDmGcnW2YSdm1c5Md/l9z7bJI3qbN8umGx5tJvQbiQIP2Z10GSyZRFCYC0kqWQ6VKQmpZsEdPua5VXFqfk6l1/Q4qe+a4X3/FnIsfkmnkqyC8MjTWsMY8nmDSEvvmiVqy7o8dyxU3z0a3Vuf2yS0506zVDRCqDpWwLP4ivwpDvmQoxW1xnAGnfRaSPQFtc8Yhy4Y+2SRAMtGGgYpJY0TTBJzIbagNfftsI7blvl5VemTNY94rTBcickTgLS1HPAThVJ4hFnhBTHzsWRUlDz5lH9T29cPbf6n4PJ16WD7ok/EapNrf7Ny3p+UwHe7w/YuKH55jvufOR/fPZzd7a7K6t4LZXJAIHFgUtmB9zTEGgIpKWuBX0t6MuAofY4F9X5q4eb3P1cn5fc0eOffE+Xy3Z22TipaDc94jggTn3StAS5zgFuJMbKrLNHFOl3x9x5mt/geSlhkOKrmNVBwvxqwm9/ssaRc1M8vmcSawI21AUbZywzE4INbcWGSZ9NGySbN6Rsm+2zYXKZLz1heOz5Sa7aLphqSVoNSbthaNZjhB8Rhh6ecn/fWtBaMog8BsOE1Ai6A0O3Z1la9Tm72OamS3rcePkKf35HjfqSwpOJA6T1SHVAnEgGkc/MZI3rLuxx3UU9HrnlNMfmJR+6fZJzKw1OLoYEStL0BUEuw6QLPAsiz6UKjslTK0gNJEYQaRimEBsLOoU0QaqIrVMDrtrlzsf1l2nadY80bdLphUQF8fiFHekAnj+XxNrJSQHUQ0mvN+TZJ+/bsO2C6f+xcftLlpOo/5lvJia/aQDfu28/O7ZvVn/w/o9c9MTT+9oyXWHjpFdaVRKkzB0LiyctnnbBoK8gTKGmLU0lGGhJ3wsZap/FuM7tj7W5//khzTDi77+hw44NKbu2Drjpii6eULQaHkI4ueKykq5W2iWOMnBjEdKihPNyLSnIlOeOSB7d6/G5h1s8d7xFnDZoeYrZumW6aZlqWOeDtz2mJzw2TAo2T6dsnR2wZXaZu5+NeN/nNrJl0mO2De2mot0UtBop9TDi/v2KYezhNx2orBXEqaTmKa7ZPeChZyZd4dNAs7Lqs7ASMrcwxU+9cY6TC4s89OQsvgREggHHjIlPFEt6A4+pVo3JdpMbd/e55ao+33/rPHtPGD7/cI2H99bZf7hJKjyiSNFPFEpIhBBjgWeWE7CG1FisMfhCMxHE1Ei48doe528Zsn0m4Z2vi6gHklbdJ4obdLqBA3V2TyvAzuWji43cCptm8ZKxkGpFkjaYX445t3x/e8PJhYte/qq3qxPHDukduy782wPwPc8/z+bZDcEjjzzyo0rq34z6S2yYCIrAzpJH7RYpwZOCVFrHKjrzqRX4GkKdAV0LhhqGvs9Q+/R1nW5X85//fAqbJmyaHXL5ziEbJlLe9qoBOzfGJInI9LaECnOT6U8pDUIKPnFXnacPNRGex7HTDU7NNajVFROhYLJpadcM7Rq06oKJhqLdUky1PDZMwsxkyqYNQ7ZtXEXbFT5xb5tBr8nF2y3thqLVkLTqhlYtxfdjvvRQjagv8TeCzMCUpJJmXfH6lwy45wlDL5L0BprVvsdK1+PsYoPLzm/xtpev8vhzDY4ttVDSAEmml30S7dykYSzpDT06vYBWvUGzHnHZ9iE3XDLkxLkOR8+s4Pmapw57fPxrDYRSDtxCjp5EawAD1pLEml2bUt7xqgEzbc0luyybNoBOfaK4RZq6bqA08Ui0lwHVAdo9z2OiHNSCJJOOSSpd4J+dH2sFqfZY6KzgN/VvPvP04/1NW3d9YP/+vfHu3Zf+7QD4mTMnWVle2H38xMn3PvnEY7IeuqSM1hZtbAFubdxS6ew7txxqbfG182F944KbULsaioYWzp81gkhLIiOJjU9iYL7X5mtPGyyaTz+cIIR2J8kacmRbMotMuIpEISRSKdLEQxoP35O0Qjh/1tL0DY3Q0AihEQqadUmrrmg3PCZakqk2bJhImZ2K2DrbRbPMb/9ljfue2ciFG2CqkbF3Q9KqpzTqMc3GgHq9QagkSmYaPLvYk8RnOBAMIk03Uq6ZY2Bcy1wz4OTcBC+7POJn3z7Hb33c4/hKiBAGaxOMtiSpT5xIhpErY20NPJq1gEa9RiNsUAsTWvWYF18cE/gJ11+c8s7b+ngqzZJABpHV/ZQgd4AzxtXih74CAoaRx+KSl9Xt5DGPi3t0msc/jq117mhVwO2awrMEU6bxdf5o3GtxYnnkkUflIJLvXen0743i4bPfDGz+LwP8zts/zUTTqx87dvCthw8dFO2mT5K68QrVJIsDeAZ6KZwO1qCVA7WvbQH41EBqRFERl2pLatwFkVr3vdhIUivRxiMxITqzvaq3IkspwBPCZSoV1OqWmmepKU3oQ+hBLbDUQ0E9kDTqkkbNcwBvCiZbhul2yobJiI3TPbZuXOR9nzN8+PZN7JhUzLQM7aai1VA0G9Coa1r1hDOLhkNnQmqBk2WQV/oJhrHH+ZsNm2eGrA4DBkObsbhkpevRqtdoNSZ5523nOHzmLH/wmW140sNi0EaTGkuSekSxYhC7oqh+TdIYetRDn3qo6XRdjBH4Gt/T+L7Gky6BJqVL54vs7kpXBCAykAs6JquyNFlck8U32sgMsGVgnxrH0Gkq3bnSZcY0B3GeXCoTTaJwbOJUMBzCw48+KS64oPvW884779BffOwvB+94+/9aI/P/MsCnJmXQ7839Qr879wuKoWzVJVHiUr5pztSZx6q1RSuLyQDrGN7ZUyb7oNo4gOfWlc5YPa+Oc+5IlrixbqkzWbBkxzrwZKVoy5MGT5LVkIOvBL5nnW/sCWqhpBZI6qGiXlO06pJWwzLR1Ey2UqbbETNTfXZuWuTh/RF/ftdWpmohm1qGdkM4cNclzZqhWUtpNSIe3gdP7W1w0azNdG+ZNh9EiusvsVy8c8Ajz07SjyyDoaY38DKQ+zRqdeq1Sb73FUs8tf8cD+3ZDFZhjHbHKbWkiS3qSQaRR2NoqdcUtcAQBj5hoAk9g+dpfM/gKYNSxm3BktX9ICx5gbIDeB6cuxJikztSJrdfJUaL7By6iyB3rkogZ4+mBHaVvXNg5557krra9WG3J48eP/3vhKoHjUbj14D4WwbwOOrLJBn88iP3fOjnov7JoFELkNlSLKXLLCot8FJLqvJaEAdwlbG1NhZfW7SXA14UWccc4Kawsiwmy8TlyYpc49sseVOFeJ6qzhM6SmYZSwV+UbTlsn9hoKiFinooaNQFrbql3dBMNFMmWxEbJgZsnV3moX0DfvmPN3H85CQXzBgmG9CuK5p1RbMGzZqmXksI/CGdoUVJha8sUpbvTGcMl6QB7XpCPzX0szrr/lDT7Us6dUWjG1ILW5y3OeFXfrTDL31Q8uCeTVgUxhq0NqQ6JU4NcaIYxopBKKlHilogCQNLGChCz+D7zu/3lHUAV1m9T1GebNc06OY62ViBNTnQqzmGXGZIjKZ43YGbAvhpBdR58q1YmbVb7ePUEMeGKLbsO3Ay0DT+1c/97I/43V7/37Sajb9xOv9vDHBrlrF2+Gvnjn35n+nhoVq7KZADhzJXV+2SDEkqnCQxNrvKHcA9U2p0p9NtdtBsAeqCpQ1YY9HFAacY7lNNTkIpS0QRWDqJ4urJXQyQ15L7niQMJIGvqIVuJEM9tDRrhlZD024kTLRiptsDts6u8NDePr/0gRn2HZ9m17RzWFp1SbMhHXvXLY2aplFLSHTMn97RQiqFLy1KlDahsfkS7vNDr13my4/FdOOQfgbw3kDR7Sk6oUctCAn9NpfsSPnVH1vk335A8MCzmzBWoo1LqyepKzSLYkNUc+WuYSio+YIwcJnNwLNFxtZTBqmcVesqNysAL1OeGcgzp8WUYDcmr2nJQG7BVDR1Dvy0AHkJ7BLgltQYtwqlhiS1RIlhmBjiVPLYM0drf/yxu/75D77tNeLUue67tm38m2U6/8YA339wD1hzY//MV+uhpwn9JknqqvUs0lUECgfyVIPSAq1EocNN9TELQk0OdOsA7Zg7fxSujqIK7nXeVw7wvAZDFfXkIqsjz+tOJL4vXf1GIKiFbuZJI9Q06w7c7WbMZHvA7GSHh/f2+eX3T/PcsRm2Twk2NCvSpObRrLn6lXotpR7G+H7EqcUpfOVa7JwtVwaZWkvSVLFlyiVPVpNa1injJgl0h5J6X1ELfAK/hu9NcOn2lF/9B/P84h/BQ89vRBvpAK4tSaozJjdEoaEWS4aBKiSY74PvOYnm6lQsnszLk0Fkj1WM5zi3uWwxefltTjwOyHlcUay2BbOPA7tyrnUeo5U1MEleBaoti52IL91zf/01L992o5LyG8HxmwvwO+64nVA2Gr/4nz4RXLpDc8vVHggXSPmeK2gSCHfQ0hxcFEuVViVT5yAvgFyVIfnzAtT264IbypR0XiXoVhKRpa3LenInT6DmQxgY6jVLPXT6uVFPaDdiJpsDZqY6PHZgyL/9wymeOTbL1knFbNMwURe0apJGTdGoC+o1d3G4VH/MQ3sEvWFATZFdZE6D500I2giS1KNZU9x0RZeHn2vTT5xMGUSa/kDRDRVhoAj8INPPk1y2w/DrP3GOn/99eGDPRhIjSYzJmqXLHswokISBceyd1ab42cXt7mQypZRxMsvyrgdyKnFOfg6qQM9X2lFJSSZdciIbXbV1BnCtS2Br7f5eLZDceNES8dxfBb3g+xp3fvWO/qtue83/foCfOHGCLVu2Tn7xi3/1e1ftUq9oBhMsd0yh4zxlsTYf8eDAlVf1KSMwKg8qsyvec6xusyvb5qxdAXReBVhobdyTqixBZP2bkuJv5+DOLzCVVQz6HgQ+rhMoyAqsQk09kxetesREa8BUa5UnD0b82z+c4qmjG9k86THbMEzUoVkTNOuKRl3RKNhbUwtTWo0hdz8VsNKpMTVVpslzsJhMmyZasXGD4rYX9bj7UeO6aGJTAbmk5ktqvofvBXheHSkNl+2wvPsnzvHzv295YN9GEuORZBWAruzVMXmYyKK6MPAknpcVYUmB8vJjQ/H+8oswlyoir0qjTAjl5JIzek4+ZgTwFKtxETtpOwp0Ywt3LS9t1tqdb08Kppswf67B3Y/6r7j08gN/9F3f9eafPnH8+MqOnf9zu8L9TwN8dfkMg97Cz68uHvu+ZrDMRMvVYXtelsTJ24VzaaAtqXQlqSb7UJ4RaFU9GBnYc41tKuB+IebOkJ5n5ArtLfMKulJ35xWDnsLVZ3gW33eNxbXAUAs09VpKo5bQrEW0GkOmJzo8vj/iF35/hicPb2LjpM/GhmaiYTNwZ+xdk9RDx/61MKURxqQmohuHCCXxcwYvNLjITnqWDEl8msHQlQvENaZykA81/cAxeBhIfM/D9/INaC1Xnmd5z0/P8S9/1/DA3k0kxiPSglibjMUFtcQQ+pbAd72rXhZ3eMqdDyVldnyyrvz8sVKYVVyY1VjHsiYWMtZmK25ekmszbe7IqTQOKnkRbSvSJSttzorhPOXmuDy3bw4tDn3ftu1PHUqS5Bf/tzL46vIJWpNbd93/1Q9c5dmTbJx2tpOXReQgMCJzUYxAiyzAVLkUccAutRpZVJ4v29UDJiqBZJmVLK1uW7J2Nais9HF6MqsYlO4C9JUDduDZonqw5utMNyfUaxFT7T4TzS4P7Ul51/tmeOLwJmYnPGbrmomapZWBu15zdmIO7nqoqQUp7WbMnqOWux5vEkiJr0wWxJWLfr58J1qRGo9Xvjjhogt6HDpeZ7aRdcpkPZD9YcbCnsLz/KLLSQjLFbvg139ygV/8fcO9z80yTOpEWhKnlkZWwx36OJB7+eplit5WqXSxwikpKgAXFZBXlsk1ILejAK+AO39tLZtTglyPJgF1ofOz+9AgheWZPSdAPXzVv/i5n9x18PDJYxddsP2bD3CrT4CcOG957t7/WvfOvrldW8GEHhZRLGLWCowEZaV701KU3mkWYJrMKRnXbeOgrrLDGgaB4q+uAbewSJXbguWAID9j7sAz+L4h9A1hkFILUmphTKMWMT3RZ7nb555n4dc/spmnD84wk4F7sm5p1QXNmii8cue8GMfegQN4PYyItWY4qFFT7iKTorL0k2cLs+xe6jkt70VEsWWQiArADUGgCXwP35d4SqGkXwAcAVefL/j1n17mP/9ZygN7N3C602bYlExqSyu11LKJA6FvM+8/d1Jswd65VMkBXrzf7E2L4piXx99mJ6VcWW0hWUbBnq/UtnK+S+DnwC4Jr5xNE2ciaX6lT9hafvMnP/eQvvEl1/7zJ56fO3rt5Zu+uQA/cOAAyMYNtv/kW5V+ismJNklis+Kmildq8zcuMTL3tcesJZuBPHu0Jk/Y2FGNt4a1R1VhfhKcLZmzty0KusrhQDbrwjfZmAldgDsMMnBP95hfHvDuP23wmQdnWehNMTshma1l4K453d3IAst6KGmENmNwp71rYQzE3PlkwHISsCFkpB4bMbpCae2aH9qhx6uu7fPQvphuEjKROD94GBuCyNWqB54DuKcsSvoI6RI0WLh0h+S3/skqn39owK+9fxMnF6YYTHpMBoJWamikECZu9HKg3EAjPw80pSiC4PyxGqhXL0whil6REamSdwqVK66taPMKyCvdREUQaipJuzFN76SNIE4VX37gEJt3zL710ovUn3ZWh0e/qQze7XVpNpoXP/fcF/9pZ+5+tkxqEDGJ55GmZYbLFOCV5TJkBUbL7HUqP0PxuEaSIIqlahTgtmSU7FEKU/jdrtY8A7jKKhaz7J2fj5nwNYGfUgsSwiChVR/geX3ufkrzR19o87n7NhKbNhvbgpmakyXOAsx9cpXdRcbcVfZO8LyI+5+fpB97bGnk72ecwfO4Q5KkipqvuPGyAalxAB8kgmHuhsRu5Jrv5RanyoDoso8ObIKZScH33dqjFZ7m/V8YcM/zGzib1OnXJO3U0vSsA7mXxSHKZnGJzUCek4QoyWKMxauSxRb/GwN4hZxyTb4mEK3IlSqwdcWV0dnXqYFIS7pactfjT/D6V+76p6+6+TVPxPHqgSD4xjtLfEOA2/ggB/bdgR9MbQ2S/bdsbHWQsk4tSFDSoJUq6hCMycFuCtBbK116vmD38kIoAkpEdhBE0RBcSpLR/JoDtx2RJUUXflYxqCRZw7IpmNtXrhYj9BOCIKHmxzQaQ4Kgz0du9/iNP9nIoflp/LDG5pZgOtS0Q0szhGbWYV8PXbazliWEXP2KzlYCJ08WVjW9OCBQikDaIsDMP4alLC9w2T1JnPrU/SGbJwes9FsMElFMigp8g+/rzOZTmd2psoxxNXB1lY9vfnmP6y+f59c/NOTDX5plKW3SD32avqTtuRqc0INAUTRDeHnSJ1v5ZCFVygRQZuPnwrBAd8Hklce1AeiYXFnHddEVUJus3ijNGi8iDUJJntg75K9uP3LL6tLXts4vdQ489PRJbrz66+vxbwhwrTUXX37Teb3FZ993rvMEfughRAqBRUmPVGuUVmgpi6KcUTY32evliTAmr3Ng5LGUJZVS1xFwlwwusuxbobuLMRNuOGfJ3DoDeUrgOUkSBhGhP+DoXMoffL7Jp+7dwOG5KdoNn+kaTIWaVmiz1HsObpmBWxZJoVqmvcPAXTjtZsQn7/c4cKxOTQmXMcwdFEqUF2McrNPhSepx6S74zuu7/NEXN9BreLQTyzCxhHEWNyiD58lsbB0VkPsVNnKrws4Zybt+sM9V55/k9z83zeGzEyyldfq+R1MJGhnQA2ndhZO5TMXqVxm6JIQr883livsIdkSP50jPIW/tuNSoMHgWSGpLZSWn0OJpRoSJFiQGYiPoaxgaMDbgM187wDVXXfm+V97yijcsLHW/oVT5ugDvDRNU6HH/I/du7y89fOGlsweYaAVZQbvvRjukHkqbrOhGVZg8H9DuQP7C4K6wdgXYNjthudYuQC5KYLvHrGgoA7dzTXL21vhe6jp3vJQwjAi8iK6Oee/HAt7/+c2cWpzEqDrTE4rpwDIRGBoZczeK9L3M6lQyaZJ55wW4A5e9jJKYAydDenHIVJi5OHnSKXclKitUUZOSeLSbHudvj1HhkG7cYhAI6oklygHu6SxRo5yPLfMS4PWCV8XsRJ+fenOft77yLO///Cp/8IkNLAyaDLwaNU/R8AR1ZQlT69hcOqniybK8Ic9yrmHyyrkYBXfJ4MWFPAJ0McrgOXtXMqHaOmAnxvUDDIwg0hajEzyTcnZ+gdWl+y6Uabz9xhe98qi1Q4So/c0AfvTEHLPTrdmF1dbHfvqXDvq3XjvBP/iODrdcY0iikCgOXQuY9EilQhuDVrKiuSVl7YKsfEBRYWwxwtprS37y0LLsp8yBLUbYO6uSU9oB3MvGTvgJtSAm8GM6w5j7n5Z85PY2n7h3A0PdIggCNgSCycDQDCyN0NIISnDXQkkYSsJMmrjEUOZMZAAPfJf5PHLGcs9jDeLEJ2zaNQFmfivT3O64xInC9z1uu77Ln3+lx76TTQY1N+8l8i1BCn5i8GODUm5Oo5MRsuyYogSQNq58tRF6bJoc8C+/t89lOyM+fHuLR/dMMD9oMlQBvu9R8wR1CWE2YMnP7VXpSi2KgjVRkks16KwyePE+MnJaI1eyz64LJi9libZ5ObQgNjDMAJ4aDUmElw541TUr/NAbe7zuutv9mZmXfywerrzIms7835jBt26cko88uf+Gj33qrolhHPJnX9nJc0fO8e6fPsurrh1k7BqgpUFKVwxvtHQgz/S4tbKiucU64BbFh3c2wwiys7DdInGPokgpm8qYN5PZgTobGKQLOeJ5CZ1ewn3PCv74i21uf3yCpU4LWa/RqismfUs7MDR8SyOw1AMy1nbMXQ8ltUBRCwS1gKxCz2TgNoS+09/Ki9h/Ek51ai6xkunb0cRJCQDXB5lV3xlJHHtsagsu3jHgmeMp/cR3YxoSCGIc+FQ+WTdP1LjhpNVbNc7RWpJoVx/+jtsGvO4ly3z1iS4f/FKbR/e0Wew26MiAXuARKEEgBaHE9XBKiyfyuCabQpDlONYF+DjWqwEn1crE6j0DeCZNEguRcQBPjMWaFHSMp/u87rolfvWnuly+q87ZhSYnD905MbPdv6E1dekX+TrDg74+gx87FUr0754+eby5tQ1C+Tx5YAPv/kDMjn91jit2RIAlFQYpPRdcqqw4PmNva2QF1HlLWdYvmYOcCq4rAC/rImwxkDMv0HeyxGSa27ixylIT5G6GTJjvptz9mMcX7mvxmXsmOLfaRNRq+C2ftgcTvuvkqftksgPqgcjuMis5zXR3IAhz9s4B7qUEQUotiLE24c7HQ46dqTMzLfClyXSsKBt9K58xLz/VmaQYRD67Ngluu7bPpx6M6SU+g0RQ8y1B6lg8SmxllVKFX42QIzLF3asxkfPb62HEO24d8JrrF/n0vV0+f1+Du59uca7TYCACBoGH5ys8IfClwJcSX9hMalkkIpNcdvQzVWXSOJtXAG4o2dwBW7gGFuskSWIhzTKimARMDFHEZbtWedePrnLlBQGnz02w1GkS6bPNiU38bm/1zGXA4G8E8IMH9tHt9ZgIBugJ6KeW5dDj4b0NvnR/yEXf0yf0sw9sjAs2jUSZbMa3LVncMbYsGxPyEwHFclYeLzty4EQV2MJkzcMGkQHc8zSBl1CrJQwjzb5TcPS04qN3TPDFR9ucW26CX8Nr+zSUpOVbWp6h7lvqPtR8B+6a72YSujJTWbmL7Ps2A7kpQB74rj3t0GnDM0dC8P1smbeVFP1oWrC6dOuiQcCNc77y/IjLt/fYe6rBoCZopIIwsUSKzNozGXvnbkpuQZZapfDZ8+YEo7LpAz7D2Kdej/iR10e86aYVvvxYj7/4SoOjp2vsPdUgXglJQ4+h5yGVdOl8sr9HVnqcy0PyANp+XblSNKVkbpm2oKFgb9fwnKcxtavQMjGkCTUv4nUv7fHi3SmDYZvBsMb8Sou5RUjDIwTB19894gUBvjB/SkRR9E//6tMfm7nkvDqn5lOOrSaYNGI4b3n8mYCVN/XY3IqxWKQ2GKFQNmdvmQG7ytqy1NkV7U12wquMUCRyKMHtSjpNpvs1YegmqaZac3YR7viax6GTde56uM6p5TqHTjchDFENj5qnaHqWpmeci+C7wfk1341rcyDO7zK7qwzgZJo7A7evCX3H3u7CijkyD3uONvDlqD1YSBTKenBb0aAmcz5SrUhTn8t3Dbh4Y59nD6f0U59WIog8CLKZgKoCcCkFQsoRJocxG65oQpBFL2WifSI/oF2P+aHXRrz8qlVOLa9y5yMBh0+EfPnxBqcXa+iBj5EeSaBAqixYdtZK4axUH9divEy722wOS57iJxujZzPBVvTTpmBSB/Q0ZWoi4bqrElqbUnpzQ6LUcPhUwMk5xbH5/TPveMf3/tPjx0+9Z+fObXY9HL8wwE/eidHm+zY0zzTrF8CLdie85uVnufvJVZ58XnHdVTGNCYv0LQExRqYY6w5gAewKyIt7Du6Mude9FRG7LYbS53elNH6oSbTl8AnBM4cVdzzc4NkjAc8fqbOaBb/4AartEypBQ0HDM9QrPnDo5XUaedmsqwsPM1kSBIogkNkFYEvt7WuXWfSdzq8FCdbEzC1JIhu66bfS4lVstvG6Dlss02W/o878cIHH7HSMVEN6iU/fE87pSMqCMU+ZkQykFBV4VVZJW3GydKV/0teqGD/RjwI2T8Xs3JTw4gsiBvGAv3+kw7NHA+54qMYzR2ocPh6SpB42VGipQEh08eFkBdrrnE/BOilpsxbYZCnOnMGtgUTTX7U8+qzPxVtTHn1OcvujPiLSBCJF2zNN/wsPfJ9S6j3/Uwy+eOJTxFFXzZ/dI7bPrmKsGyK5ZbbP62/ucHLJ8vm7avzCf53kdS+JuO3aGIx1CZRGkrGzBCPQSQbyXHdD5floakwId72LrK6cTI4ksaU/dIx+9KTkz24P6SeKJ5+vcfBEyEIvINIBeAEoH9VWBFJQV9BQlprCjTNTWeGRcqwd+MIlParg9iVBJkvCAMKAzDVxKXPfMwR+mmVEE+q1mHPLmjseaNHphkxNCLzMi8+LvtYLxopy00KLS6JIMbNB8bqbhnz50QHHO00GvnQyxQM/tfhJ7llnHrvU2W4Y1VknsvgbxnqVv+GAHmiF9hSpr0i0G9TjeSmhn9AMEl5+ZcqNl0W85ZYh+09IntrjM4gVH76jwZGzPghJf+ChY1W0TVmPMhtUPa8FwCvZoCLHbxCpRRiDxS059abGr2nA8upXRLz2+ojjC4p/9CvTHF9o0aHBeROWmbrBYjCPHRIvue5K9T8+eHv6j3/ktX89gAthCWvN9zaC+avD6RWUhDCI8L2YDZOG549JPv7FBk8dDPjEHU1mpzXWWq7dnfCOVw+zBmOYnTBcc2VCs+bStrlLIta70rNWNyEtnb7gqad9Flcl9Ro8vMfns/fWGCaKYaI4czbACI/E+hjhg+chQg9PSgIlqElLLQN2qCyhsq4G3Ms8X69k7iDvyyzArbIeTVGwd+AbgiAv0NIFewdBglIxX3tC8akHW6jAc3bbiP5+YQYvOmF07ngohkOfN9084DP3r/LhOyfopTWamQ73cx2e5EkZW3QLCSELgLk/JStavwJwk3XDe47JfU+Reh5eqh3QlUYpN0h/qpZy8yUpN12SYEXE227tM0zcOLe/ujfkkT0B9VCwsKp46tmA1b7MVNK4YMmBXYLdWmjWDNdckzAzqV1loba849UDrtmdYC1snNLMzBqePBRw72MhCwckYiLldM9jJVJIDLE3vPq2idZ7jeWn/loMvv/4CmeZaLeHf3TJVOusErbn6nO9BD+IeOBZyS+9d5LHDtfAl8ytCOZW3AfYf8zy2a+1XZWZtkxMaW64OqFVd29+LPe1di3LXIeVnuLRZwJWOxLpKSIjiaznmEl4uLnAHkgPKSW+FA7M0hJKQyAdEAIFgSpn9DmQl2OS3R4/smg8roLbMXxWVuvnDK4r95TQS7A25tRCQBzVCCckQZb2VllV3kgWM+/oYTTJlTOrNoo48ZlqKXbMxARiyCANGaSCuueGYOY1JHlCS8lqeass/pb7G3kMZCpD8E3WG1sZ/5DqLG+gsvLnlCTVqMTlEjylkTJl+4zJVgzDZTuHxLaP9CydjuDRZzxW+hJVKJbRoHr0TLvy2WYNbrw6ZmLKYFP3nYYCT1TIPhZcd37Mr/zMCu/674pH9goSrVlVHsZY6t6qGiSLl/zLH//e9s/+yLlVITZ+fYCfnVvAUyvv+d1PHb11a7NLK3Cd8J6yDNMan7y7yV1P1V0xg5BA6cOmWDr5O5OW1RU48zU7+jGrOfiqdqwsb1YITL7lAlnNqXB/T+SbUgmXYnagztLOkmzj1tw3rjx6WSe9Itt6jwLcrq3LDdcPA0HgUZSYOgbPWNwzBFl21PcTwjDhxILhQ19ughfgS1EGmIU8Wae2uuIR50NCHdgUWjuQv/N1Az5994Dn51r0tE8jdZvSuipAW3biqDwnUAZ7xbEslICsFHjld1PUwniewtcuf+DqxVW5CYE0Wd149lzk8ZDGEwZhDTMNw3e8zLjhSyJ3wPL9M2z52njMZQVoiUlVgQOdCnT154RFpoZXvijl1392kU/eNaCfeiglMdrNtnnFxepWk17/Hq3TNXuirAH4pz/7FZSUwRfvTdhz5ALQQ+dJYkFIrKcgVHkxyNhyVL1WHWPrvFSiOketUvRaVvFUflfxuyVCyrL9TYAv3LDOQDgp4EmcV6vIaiqy53khkUdlDkrO2mVXfQlwWciWMLBFS1sQmMrgnBQ/Y+/AS5Ay5thZwfxqDeF5hJIReSLF2DVcHJXRCsqqPk61Ik59NrQjdm0esPdsxEB7DDWEWuBri59mOjzN0+mmzBkIVbmaRMGEbtJu3lkjKtLI4GmXgVaea2L2pCp215CqsuuGLK1Z9zdtNiHLION8UlZpEJRlFnZ9wVJksPPzbtehe2c0pNrw0ss1L7+6BzLz+7UiiUIWux0OPvuVQKyT71kD8AOHTrjIXA+pteoMdOgAbk0FkOuB+4Vu68mS0YKGavNC/rUSefbMgdoT1j1KW9R45M+L18ZAno+I8JTbXMrzynkoDtzSPQY50PPgMwN33v3jmUKi+J7Tp0GQkJLw+fvrzM3X8ScUQbWGo+qgjB+lkQIkMRYEKoaRm2D7xpf2uP/pIatpjb7nUU8NcZZOV7IsiMoLzvLtzt0tDzTHMogmm6liyZpQBJ4RpErgaZlJFHdPM6CXyTRTJNhkDnJZOl1izP3Kqz5HAC7G8JA7ay9wKy8U16GUpwWtlaTaYxiFdLqGQXp87e8eB7jVfwwyeNk//qVnr7/7eY1E4itXKVg178tl8BvDez1oVzu3XU13ds+eKzKbTeQzTdzX+XP3mHfskIGcYhRCFdjFHBTFyC5tIwDPA85cd3u5LLGZ3h6tJQ/8hMCPOdsxPH6wDl6Al8kTr1KglGf7xBjCnYtUNlGXrXuy8MSTxOfaiyI2TA7oLDfop4qGAj91n0Vp6+5JFeA4kBd/qMw7FKURxhZTqowyaCPwjUAriVYGrQSpkpkVWRav5eUQObCVsgWLF4NNKwm5svKzBHkFNi/MfesCPDtqI4G6O14gqIWrnOgMrv/8c2962bt+6+b73v1z37U+wA8eErTq9jsSHV0z14tp+TVa0mKo1ovkf85mZv//HMhF5d/kCr4oe62CXYwCRcmyLiL3mPPXvKJFrQS2kk6WqKJ7pQR23nzr2DvT3B6F3s4tQcfYJbj9ojoxQZDwuXtD7n+2hQw9Ainc/O2igrBar16toy7PbVFhWSlI08bV9AyGPjddMeA7X97lDz7XItYhPS2paUuUVi5qUZEpUmYsXv1TL8TkYLy8MUUU4NZKopRxjC5lNlqiBLeTJxapykrOsvitfL6+VKEA/V8bL+uwcjXzLSWE/ipC9q65YlfnO6SM7qv+aAHwfQdPMTXZet37/uLLP/jF+xJank/Ls9nQyKzSt1rKWgHsX++NjqYDCpCPlWJWQZ4DvzraIGdxtwUJBZt7eQe9cs9HWDzrhvHVKLjdOIUx5s56NoOsvc338oaDtHJPiEn4izvbaBuiiuxlNcAs+xpzZ2NEg+csXnQ2uXl/boi/QmsPgc87XtXnTz8fsWISBrrGQAv8lILFpbTIVBRFZ84uHNeismJNVkpWjUB7WQe8ykDuWZRxckUr41YJJbPssSxKk6XOLcoS3AXIZaV2P2PzF2Txb0CG63swFFJCCovn1dm9aZGrLl3+wU0733rXD3WPf7ne2jkK8EGU0B1EF80vDC8cLEdsbPiu3iNPkI3UaVNt6qhoqHUK4cfBnT+vLN95PUOxpFdYsGBwUSZOqqDPZw66Lh5RaPF8NMLIsJsM2J4SpZNS2IGu4941JtuMucsA06uwd+jHPH5QcuB0Dat8lJQE0mQyqrrylAJ8zdI8osGrrXyicFSS1OfCrQmXX9Djwf11EhUwSAU16abxeqlACZsdG4FMMx2ORGAY/ZOiwuKiIo0qHTXZRF9PGbSyKC2K3tYS3KaYaSilLAvfBIgC8NlfzGUTlTLbCiO/ENBzfl6Dpgpz50lDISwi8ZBiSJPhhcYMLsLGX87/SQHwhYUlouEAkj6zTUMtNGUETnn1V8FenKtij5C1nkoVzCXAyyu5WMopl/Mc6PncvJEtvXN5IoTrns/BnnW6FEwuyzFt5fbfGXNXhv+4bnsKYBfZyoK5NYHnEjuuKyjBkvDxOxssLtYRoed898rKsqYGpUpJFYsw70et1nEX3rRxe9vMTEvefluXxw+2iXSNvgqoa6fF83JWJcnAna8VJvPE88Jcx+KM6fGy8bucbpAP01QmiyekRRlbSSzJTIeXjSZlbb4crdmXVZlCweIjVaJjlF1lbTtWPp1/7cbHVZgcgdECr6UJu0toXRYXFgD/yEc/jVKSuXMrbJyQWGwxs6TaIV2UQK4jV/JzuB57W8pNSavFR8VjHihRaZUSjDkFZfd3deZgAfDKDELH4hLljQI88LIBQH6+dWCW4fQsfpGKN9lzPXL3lOvcef4YfOz2FpEMUFJl2cvRC3E8g/kCeb2SxStuiskYPNUeofZ4+2uH/PEX+zx9uE6ifPpSEmiTuUcCqfNALzuGUhTa191M9rdG9y2qMrk24BUWosXTFp2VBChti2GdRSOELJnb7ZxBRapUZWcG6FybjzF3FeTr6e0qqKvvPY9f8vbINPXpHD7K8ZOfLB2/HOAnT51m29YtjV//z79zfmd5kXZdFFvKFSOMq3O4q6UFL3CrMvYIu1eWLMZZeyw4qy71Igd1EWBSVNSV8z0oNnXN5xCqnMGzJM8IuPP0vZ83Jptsu/Ac3HlPZ5rdE5Qfc+CURzcOQHmZPLFj5bFrL94RF6Wih+24F55145SJH4+mL7hk25CnD8RoEzIwATXtara9TIMr4eb7ucRSLhoNZSLOFCeiLIZzWPCKwabuNWVASwd4le1OIU05IUCNgLsEfEFSeWMKJbjHmbzaX7seuEsVXB36NDrhNp9NnqZuQ2BtBdMbZ8+/7Y0/0ViY/4n+zOxmB/AzZ87S6XReu3P7xp9/9tnnaNal29U2mymodVazW5k8lQdK1ZxN/ry6zBQSZUym5CULeTtXFRhOroiMFRiRKWpkqGYOcsoaaVUBdfE8S/IoMi/cgdsBuBwK5FflSZW9VdbXGcQsdQ3/71+2WBzUEKHv5Im0I6tKOTjn6wfhxXE02ZiMqpuSpe7T1KPd8PiZ7+7y1cfbLEYBsfQYSEmQ9VCWIx/yVVBUgjxDXkZrMRm4DRY55qyIjMFtMcsxB7uSImNwJ4l0RZq4jcUq7YOCrKzZVi7wUraUkrUC8JFVbv2gciRIrpYAp25TryiW9IcJs9tnf/7Y0QP3xdHw0wWDH9i/jyAMmDt7itC3eMpztlPiwJZikQaMqDA4Fe09Rt1i9MuxkQNjFhrjzC0qy235czmQ8w6ZAthSIFU5fkxVQO1JiZdJEq8AeK65TRFU+p4pwO17ef3FKHv7KiEIYj56p89zh+ogfaSUhLL07MetzfzDvWA1YeXEFStkRaakxrWcpanPlRf2efPLV/njL9YwXshABoRSFEkfJQXJSIA3yuSiyuRFv2S1jRCMAmXdqmCscODOLViDG8NXjJXINXj+uSvzX6oyperRZ6AeaWRZg5synsu/LGTKWOFYmu3gNowEw1ix0k05evwkUapIE7cxhAfQaoaEYUirEVCveW4nrGLikMXiDpZ2JSZrHZX8DVYz8GNgH3FPhCiZpsJ0pXbNDmAuTQrWBiFFMdB+fYDLEuCqUkPtZXUpPoUU8VXplviV4UCl5nbs7XtuatVyx/BXX2ux0AmhlrknIrcHX1iiIMbqJytlOWtsu9wyzPfE0Yok9ZhqK77r1j6fuX/IYi8kVh4DLTN7UmTujSgDPjnOiI6985dMweZlx7uXOysqey6zr6XbS8mxdwXkYwAXxefPA08xyuB5E4vIJUk5UrqQMnaMIS3YrFOknMxQbl6VZAw+iAX9IUSJh7YBqXGf2zt8+BATE5PnPf30Ez+7vDxPuxnQHWiiWJSMlOkJkQWa1azmCHlXLkdR+XrkZFOCOLcE3fcqw2YkSMphkFXmzkciV2d/Vztc3HB3RsGd72yQM7eqMPcaBs/HTZQjJzzlMpdHjgr2H6thCBHSK5pzy+rB0YlQI50uooRbztwlk4uKPCm3BSnazbQH1uPSXTEXbhmyuLeO1YFjce1kildxcUo5UC30ygR3XkYLWbNBtaUQjCxnRo7ENhnQpXT6XFZjIlH6/sUWNtnsxBGgjwF8lAQt1UnBeb2VKI6VyGpqxgNy1/YXxRDFitOnznDRRRf/7M033fjk4cOHjnqB0mCize16+rpWMI+3oUZ01qJtWuxaJrP/WYu7wl7AOhm5Gl8A4CL7Xc4GFGvYrjo6rJh2WrD4KLCLR0U2Crjqg1fv2ZbWqgruCsiz/er9rDQ0Z2+Vfe15CUolfP7BFgcW6hCU8sSvWJdVqeU+H6NstI5MMRVtWTZmV3Y3y8toY48LZmLeeFOfR55vgPFJtdPivs6GfOpRqSSKLvhq4iIDecaIo4OX3PBUawVWZquKzO9uMrA0tgC9lhX5aDIGN6Or8CiLV4FeSjdRBfeIAih7CBCluZEfs3KrHEuSCJa7hsUTZ7n62uR13d5wc3+YHvVazRjfD9kyM+Dmq+Y5cqbB4/tCllbdh6hY3Gu09LoAH5cnomTocWdh5PWKJViyuSi/HgO2y2TmLkplmHsO6qw2pdy2g7XA9soBQcWIN89kIE+dPFEJ9UbMg/sUn/5ak8EwgIaHJwW+GJUm4wFm1TlaF+CM6e8xhqr64knqMdHyeMsrh3zx/j4P7wuwTZ+BDvEFxYWmxmWBqIK7BHm1wMkFn9kFphyba+n0uJFOm2tTBpxGZoFmdl50EWyOz1ARlffhnsuRc567KqKClaqV+PVCdJAKAumm+yJS7nte89RBwyuWLN2BZaVn8bRZxaSSem2RTnSKv3psM8+d9GlKSatWpsjHM5DjDF0FtntYy86jVmEZTJYHoFze88ei77AiUfK7A3iW3JGVgEhVy2YtnleOUPayTZg8NQp0v2Brd1eZcxIEMUms+eIDDZ4/3gDfR0hFICg2l6oGl2LseK2JQXK1kLNm1t1iK5lMY/Nt+2ThiWvtEccel+1Mef1Lezx1tE6UBmjpMzCKQDP2XkQJINaC3I69F1R+sRmMEqjcb5buUcoy61nEPhKkdeyrTClPqrZvcUyqxFYhN4rAuAT1WgsxfxxNEErhsqythmbjhg6vM6ucWPBYHfSJbZ9I9/G+/198BikUUbzK0TPnsdxpsaUpaDQNqckAxdrgiQyk6wWS49KE9di7APFagBfMnTXUFhpvRJpUrMKCsXOAl5NTC4mSMbdjbFswtVc8ls/9LLj0VEIYxDx7TPDl+xv0BwE0faTIKwep2IPrZDErsUZ1qSssVhdBMTpIfizhUynAihOfVivm9TdHfObuIU8dDsELiIxkqDNHxYDSVScDhHbLvRDCzWmopsBV6eR4iqw+RmCVY/N8Vck1t5XOaMiBnnvgRoI0ohJoVvS3qYLyhWKyqgnxAuYE2cVis411hTvXYGjWJN/9MsEtV6zSbH+GaXEnmyY03nAlQcmU1b7EDNtsbUEzyHbgqvzS0rYTa97IuoBej7Urr6/L2rL6Wqm583038/R8vnvbOGu76VY54B1bq2I++Bi4s7tfqX929mDq7lnXTmo1n7uvzj3P1qHmgXQNzX6eJq+CmrF79Yv1JEqlLryw7bIm89xRyYco5UCPhj63XNnnjS/r89yxGmnqY4ViIDx8TfGehC5ZvHwL6zN5dca3UqIY8WCsyb52O3YYKZx0yfGQs7l1IC4clGoMVZzvqh7PsVLV5aVEWfta5d/b0naU5IM7Bf1hAMuT1PwGg26NTseNufAm6tkmTYDQGk/JrNiosvSvk8CQVTC/ANDHZ0tXpYmoBpEVUIsK2B17Z0BXJbOXafrKXZXgznd1KO5euQlqDmi/AurcOXGOiXtUKiHwE548KvnYnS0gAOkjhMIvkju2KK4azcbmAZQo5doIwChrUqo63FQ0uHX1FUZlox+ydrZUe1jr8Y5XDbjjgSGPHnKTBBKj6GtR1M1LQZbCF8V6Mapq3Xux1joWrwLdEXsZiEqBlBJpc/Yut2essnlBTKYE9aj1O+qgVCfWihHcjMna3DIW1fxCjjVJklqGkY8xgp7wsKKOJQAsXnfoftikjqACPw/IxMiyPzozevRKLEG93utihMGhorsRxaZR5UEQI0FlqbtLt2IE5Blbl5tNZdVvxQD8EtwjrF15zBtrc6miVIrvpyQ65a6H6zxzsA6+D9IFl4GwlcmxFQaXYo2UG5cnpUQpnxSls2Op6GpK2qjMUdEeUexzxYVDbrnBsfhAOxaPRMDQgKdLB0Pq3C7M3YLR1HM1pzFiXUoXxOUrjLTGBZ3W5SGsFQ7wObhNdZWvrMp5bqcKdtYyOaK8QEo8lQGqqcgeKd2UrTKQUNjMF/eUptXShEGMMRZvquFOTBJDLMeBLUYDihGGqi4lovJGxQioYfSiKBM9jFzFucYuWKAA+Vg1YaWqMN9gKmdtB3BTCTLLgDKfF+4VoC4n0CqvAvBMogRewoEzgg9+sUWU+NDwM3lC0ZqmipNW+rsUF/eYZlmjT0aBXpUpprqrsF1Pi3s0Q8kPv77P5+5psu+Uu/i0UfS1clWGWhTzBBEWobOxHHp0Jcnr9qoMrmwmV6zAZiCXxmKzc2SlQGayRcpcNmRgz4GYg9mWpRemosVHnJ7sWEmRVcyMYMOO/BspBDKvo1ci2xbF1bMr7bZIRIQMY899ht//nd/a1G54/+n48WOXFsytRNEF46lKQKdKXayyzvY8g1hq5upFkf8bWTofUla+J4vMo8xez8cDF8BV4+5INYisBJJeKUfK4HIU3L6yeH6etdRjmcuymcH3YrSM+ePPNvjTL09CGIKqoZRHQ1nqymbjKCganP1Ka5waOXbVLfvyUgJGAtT8s8lKRjS/aIUka/wteyGVtAhr2LE55tSC5LFnAlIhQSiMyLTn+EqyjilA7jEXitx9LWxF1NiyJGO9i2FUw7uigNHakdLvH9+C3ZrKxLPxbdqL31F+vySCsZ/PM8BakGjJMJbMbn3J5m3nv/Ir3rHjJyYH/e4blEgIa37xYYv9JqtXj6xaf9VlZjzwHP1eseQIMSZxxOiVKUYD2mrlYFG5NuZc5Po7lySqor1VsdODLYDuq7WSpHx0zonvJew/LfnzrzZw81ccezvtXYJTCkbGCxcB1VigKapf2FH2LguuqrUh5VxBm03o1dm8R6OV2zZGe1jt8b239fnUXQ32nPRBxlghGWqffNBUIf90hmSdJ35ysJZwV7YMPlUB7rI8Q1bvIn9uM3YWReDphpqNxWvrPK/qbFnBzaiBYUcwIrKVQkjrXBuRrVS6vHJ1mrLS6b3BihOTniTBU4ZGzbGsya/oceCNa+/KsjKSlcqQvvZCWB/U5cUzqt/GpYnzPHNgVfaUyYGcV7tVAZ4zeEWWqOy5UgblZdlKL0Upd/dUilYpn72vyZ4DpfYWQrqEStFB88InbfRrUZBGVYOXz0cbkEc88UphkWfyDQVyf9xJlcsuinjTy3oc+vOQWCsQHlp4DITA0/nY4zzQzR0VMcbHZAEnmS9fxgTSWlT2HnNwKwtW2DLFn8kNa51WloYRuzAHuxQUWnoc5KYK+DH8lYGoHcFijhFdifmsFQwjwUo3xcgEL8gnqPoShEvhVjVQVUMz/kfHgkjWBfQY4PN/Xwk2qw0OawFu17B4wdoZi+fMrarMXXxdBpR56r3Y4kQaPJkPtckG3/gJh88ofueTbYbSgRvhVbrmsxVElPXQI4F1cWD4urfRbRIzN8NWd78Y37Uum5ui3HhqbTxS7RPqlH/01h5/eVeDQ6c9UAkYj0T4DIRA6Yp9lweb+XI70i7j2Dy3C/MVxvUF2SKrXQSdwgWe0pb1Qiaz8IwQCFMWy40DfY10eoHXCqBniqKqDKQAYcbcmOy4RrEgTtxO0l7uWiCcNswX1zVvIHM8qt8b8bvJJEwRJKyVMCKXIC+wZI0zt6gwdd6+loPbZTBNweJFe5XMZ2jbMqjM54iP+N2Vu3TyxPdiVmPDH3ymzalzISgnT4SUpTWYv09RseNe6ESxdqzwukAf0Zu2LJutbNLkBvdUPHHtJr3q1GPbbMRPvLnLr38woJO4gMBaSWSUsw11xQTQhdpeC/IRhyUDfS6prKv5KFYc6QI8ZR375rLFFJ09btdracUIa69RAyPkuD7YEZTJopGfGau7H4kvDMYavLmFhMXlhCjWtJreOgVQYgSwhQypgjYH+8ibKr8vxToAyD8wowz+gsAWuFEFRf1zpU+wsApNhcVLQOdypJAoxVYnafHoqQQvTPjE50Le9/E2kfGdPBEKKSSBYG1T8Tpp+VKWVV58AYjbUgpXrMKqPq9s/VLJbhYpfOO2Aq95KT/1th77jwW8/7NOi4NCC8nQuN5NqSkYvCzAyk+WrfzN0q601unyXKrkj7n/LUXG5jKXJyWg8+NjofybObtXwM4anK0DcNaCeGTVZBQ/YWDZOGWYntZ49WyD08CXbv/yzMvNAVrVQxl/jwQB43Lmr7v8lGWxVaBUaqpHtHbZUZ8nVxyLV2qxVSlLxsFdWoTVKsG08uiylkvL8JdfbbAc5eB2APdlNh5OlAOH1sip3OKs4LmAdZUU18iT0iocqeozeUuZzLY+N6N14jLbScN4pNpjItC89dV9PnVfg8WuApmAUSR49Is4yhaAFiPsPcbkVEAOSJxlmDO688ItVpQXpckBnf2JvBqxKkXFC4AdyvLa9cAOa4G+7uvZ+TFC0BsqgqGH16wrorpHs+4RBGoMuJXlbOQXrt3i+QWvvvxK5etIEznOihVAZ4X0KmuDUjLfi34U3OUUJjsKbmUyCVLZha2qx3PnpJHyua/VePiZOibX3jLruRS5PBmtN5FVj7Z6HMTYMXlBEs/Yc8T+smMltNUt+LKg00qULX3xVPt4JuXGK2O+8yV9PvT5AFTsYioEsfAYClEOWVrv7dgKyPNaj9wrt2ClzTxygchQbKRzW4x1AC2ALnI97n5Drs2pGhaUF5wQFjMC7MpmV+O4G5MiIyFP9rutge4A/Bp4jZokqktaDYVUoxuwCqp/YZSRqidufOkYYfL1mHtsp+JSopQdIvlslGrXiFK5g2FRIyA3RZCpcs1dlScFsLULLHNpIlOUdIPfDx2XfPBzLc52A7fftXSD3pWg3LGhcmGOnKji84mR18bZew2mKNl71DsenWFS7FI30nXv9s9xj277k01NzY98Z4/7ngk5NCdBJCAUxkiGQiIRmVTJzoEZZ+5xmWQzmVLZy1Q6GeIec4nirg9r3cprhZPzubsiCh3uWD+fWVgNegvZJErcVY2M7N193dUxv0WxoT8w1OoWr1m3pBG0G7bYszA/4OudG1F5ceQKq1xBa5l81GkYdUzGRx5U3BNRaaiVFXDLF5Io+Tw9M6K3C8cklyRS40knTYIgIdKG3/tom3ser7veNumBUC64LLR3aVE6CWVHAD8O9jKjWR6f6vFcm8EsqwxtRQqYqmVYlNG6djMHdoXWhlR6qNTjlhfH/OQ7Vvnl3wuIUpf8AUkqfAaISr14/i5GQT4ybMfpE+eiVBMtGZs7iZLpdpFpb2tLFh8731JkoJfu15vKcaPIuo6+t/z5CBbFesjM4wdLr5/SHWjCocZrN1PSOCUMLIl25ZZVXbgW4WPA/7psbteCugC/HWHuAtiiBHQB8MprI8GltEW397rglvnzsjtHVr5WMsUPUu581OdT9zSIYh/qXqG9PeHmj3sV3f31SmKrNmEB9goTjdN3JcasNNZWwU2WKq+wty3niUujUNYUO9ulqUe9kfLWWwbcfs+AOx5VzjbEWcApHv2RFSYH81omL33yrPBKOAdFUV6QRlqUcLFCfr6sFZkGL+tIpLBYkduEjvnXk7RmDD9UhgRV5cnoBVn+L18B48TQH1hqfYN37LRkdVXSH7o9aaQa/8di7eceOWF2BOD5BZZ/PcpwdnR5XwfYValSgrsC6Pz1grlNRaaYEujFAHddPJcZc3sZuAM/YaVn+dx9DfadqTlpIlxJbMHeknKClFjL2qNAt2OA/jr6pGAdivV9RKKQW3JiTeJnvF5cCoXWGik9kshj9+aE73x5j4f3BHTiLP1qnB5PhGJIaRuWCaD15YoqpEkJImUFVmQZzgqwrXQXgig0uKsVtwUBZN8r5Fx1tFv598d1dQWNX5co8n9bDxVbZnw2bgzwpFII4aqxcj08/hvs2C9cc1tP9I+BOv8g48VJa4Bd1d3ZZqrFoJlx9pa22PBpHNw5i7vv6TKhkzO3l2LQ/Mnn67zvky2syKWJY2+nvd1IttGMarb6rAF3xjIjjy+A8YosyQ/puBde1oVnPZFjU2idL545K9IFnMoYEu0jleGn3tLn4Gmf933KTUnAd90KxggiIVHGsXEV5GvkSsVCVNn7U7lkEW7cvMzA7xje/Zv8wrdZdnM83U5BBtUV0I7gaI1SWA9+du26ozI3Ky/C8rx8j3LfFSoV8+QqvyxncrvOLx05h2OgLoBeuXqrFmAV5Lmboka0eMUmXFd/54DOmbwqUXJZ4lwUKUvXRMkEP0g4eFbyqbua9Ho+1N1ekG4/yEpafrwtrdoIUv18Y89h1Gl6oZst0F0BOtWCopLFbdZ0MAL0/J4FnFK6mYatZspbXtnni/fWOXgmy5BlA6u1EAxGooIquMszrzLPU+XMLcv3XASZWUubzVg7l3I50G3B0iILQO0aQqiCO3+9SpYlmCtFX+vI6HzlsMYQJ4YoMXgTrQC0olmzBIEtrqzRCL9MJVeZZ/w2Hmjme8yPBphjw2AqAWXJ3jbzxO3Ia+WM6spzVcqT4jFLx6tsi2+ZlcTmKXnPS4kSw+0PNfnqE3U3HLzC3lLgEju5k1OZObKu/q6y+DoB5je6Fce0yBqO3SkZfLT7viJTjEQLhco25E0jj1dfE/PqGwec+IJPZGRmcUgwghSPSOS2H4hsF7xcGo0kf3DJovy9Kkk+ccL9lCglC7bMZlaBLrBu7Eihyx0+RoLySlD5QgeqPFZ2XSwKYTHaoK0C6eNt2751Rcn+F5cn1N+zRrurjtKDrZY7jthZ63DTmqmxrAW2a/WvBJpilLHlGKgL73tEppiKVKmAu9DalUAyT8VLjVSuU0cGKXc/GvAbH5hAGy/bUMsr2Dsfx1a1BuXYhVnYm5ULO38YAffXA/pIJnM0g2mz2pCcra20FZni5qZIaUaZPJMqwrhhQUGg+YUfXWXfSY+7H5GYQGQs7k5KYlS2yXt1b7aSye0YPeZMnluDrvGhosNF9htyRs9XY6qgzu3CCoNXCPEbHa7R0RF2xBDJrU1P+QRh84vbtm1fUa+/ZVNv2Dt3yPfMTyoZu1FnsioNRhlWCDE2SdSOLN/jpa3VdHvZsJB72WI0eFTVxM1oKWyRxKlKEmXXMnfhg1fmmuR7Pyo3QPPkkuA3PjjBfU80sz7LAJRrSfOkoC4pNpTyZTZTpVImO1rLXe3oL2e1qOq0LSmL6VtFw3RF7lQbOdxmW9WxaNmFNG5RFq9VZZ4t5gLKDKczG1JCz/Lw0wErg5xZ8lSPLKaIj9bNiArsqewNVVmaqknQsYs5h2l1SGuhCAp/ZOx7RXC9dhUrphsbu2bUc5rtyZpqSIxzUHw/5PSZhR955LFn93mzk0PX0ZOk9PoJ2nhu6IwWaEv2mFlW+Si3dfR4OaIguxJHGLz8Omdrd1JMRaKUw2py0BfD1av2oDCZNTi6rYYLICvuSQH4NEvoaJRK0IHmg5+Z4NNfa2JrOXM790SIsqjKW8PgfH15Uvy3zm1Mi5cnu/Ja5qaUpbOj3fYjHT7Wpe+tERghssKnSo2KUEhjEMJDDjRvvXXA84d93vOHHnGYlgAXAms8YudAF7ZmVYvb7M2rqm2YJWvy921EHnzmmUybJXlE9lg6TnYkuMzdkzJ2e8HgcuQ42KJmPh8vmD+PU4gMeEP3s54VS+5Ne9CoKeIkSwcr1+OmpURqixbS6aexA19ZwcYe15suOrbUy9GviymllaSOqAJ7RHub4vUC0FVpUimDlRnQpdJ89ZGQD3yhyVBnU/BFfnebmBY1J5XAcnyY5Fp7cJ074yfqhRbfUo6sqQvP7MJx7T2iwaWrF5eZRDHFo8IIgzYeoW/40Tf2eOCpgDueaGLz/U2zD2KsILLCTS0zpQYv5IooE0CFqymcC2Oy1Tnffj7PZI4DvUjyQDknxZY4KbKZtnK0RMVpyiRJ3hnkGDwb760zoBsYxIIw0BAkzkX58sM1okSwfcZw7UWa0E+LHb9kKkh0ls7COIaqLBnrENVIkFmAXFa0N2uBXdaejG5s5FL1pqK/zVr9Lat7OeoXuDtp0o8Ev/ZHExw+Fbr9PoVak7X0Bdm2IGVJ7LqjIarPYc3yXjz9OoK8MuZx3WW7LL6qjFkrrEOxhtGNkRiRs7hECIUwHjLWXLAt5d/8WIcH/lVId5iB25Tv3KCIbPZhxwJOK202U1646sJsAbBkth8OyHmXjxWV9H1FcxcJMVuSxEjC5wUYvHpcjHGjXXQ22jvJ5Ik2Iht1YbnuoogLdw4ZRuBdvfsijPUI1TLWHqNeMxjrhopL4bklK68LhpGu0GKsW/WcVq7IkWKkNe5JmaFc87wqUYQpM5bCVIBuy4BSmpFgsxpkygzcqYb/8YkWT+ytlZ53fs9qTnxhK+1opT34Qgy9FuF5pVw12VPNjK1TADHiDJRB5mh2rrpqVthbZPahcM8do1dZPGtxEx7SWK69NOFnvqfDf/3oJLGWQFoykhFoqYg0iArIi/ecSxIhkBmgFZkHblynPRmQi7oU4b4vK0AXmQrIry+ZE+DonxnBVJXF8/p4bRy44xTiVBBr931fWqJ4E91+m2Gk8W579atRXpv+0qOsnH4C3/dJtaI/dP2ZbvlzTcV5HYE0NqvzrQK7fCyWdCofagTYFCw9DvJx3S1EydgF2GWexFkna1kpolIyG+JT03zloZD3f7xFZ+C7DI54oZqTSlPDmkCOymi2rCtpRJKMc886utyOPKx5bVxzjwK7Up8iy0GdJndY8tJaoTDaYoTNkkEKnRraNcOPv63HY8+F3P6ggka+VOQCGTSKoaEsCSxkSsboElSOTGOLEROO/Evvu/iVtiylHclg24pG1xU2z3G0jkKoDijKNXeUCrqRZDUSJAaSJOX7r7ie199yNYvLPbxhagmVYH41Zs+hJS7eFTA7qfBUw1Whxd666dCRBTd/0xWAj+vvajJnVNOWzkBVd49obrFWpqwL7qruzqSJ9FL2HvX4nY+1ObjoZ/veO2C7+xh7ryNLCpsQ1h1jNz6HMT9ILxRwrpfYyZ2DvGx1JAdBpj3J2LOi0cuBnTIzAEwF7BIjFDrbkVgmhgunU/7R27scPetx4JTAemPLkHTyNMJ90MIfl9lItwx9edZSiQrIs/p+m73P/KKVZAaFGCMLbCFX8hoWymttBF9rEozZ9TdIBPNDS6xjtkwP2DqzwtaNQ1qNbJvyp4/UmN0Q8Omvtfnl/7qZW2/UvOiCmO+6KWLLVCPbP10WHd7FikWFoStgpgKGEYDLUc1dBXa5Q0A+SD33v0tgOyYf3XF3fXCXpbB+mHK2I/i1P2zzqTsbWL+S0CmcE1HR3i8UXFYdobGAuvJ1ebGPCZGxiHO9NEY1azzC5CbPFtpCjticva1AWll+Tzpgu2YCizYSISRCeBhtSfHwpeGttw7oRJKf/y3F3IqAUJSRIQKkR2qytKV0uyPbTD/Y7DVpbBFsSgkqZ3ORM7oY099VqVIJOMUYKdqK85IfzzEzQ0qBZx0hJcZy0Y5V3vqyea65IOGlV3RobuojGhY2ajxfCVo176wXqC/vOu+81z32fI/Hn4dzCz2+5+UhSvjoSkv+mgCyAgRGAPENgC1GA8pSplTYWlT2Zazsj17q7CzIzL+nnGOS6+4Yw2fvb/KVRxpOdytVOCaFc5KBu1pUtb4lOMbaY0AuTsYYsL9uRnM8TV/NZK4Be8VlqdiDVT2eSxdh8zEOEmOV6waSEmldD6fyLK99yZA3vazPn35BEqeZPsup0wKUILf5h5A4sFs31s+lLvOsZsbmlSynkbja8QrQZRXguQa36wB9xJcfPf6SbJNfDy6ZELzlVviumxokKQySrYQ6+HLd98/qWKI+8L7/l50X3bjSDOTKhJf8gOmd5eItHgF1oIFSqqCgcUAXz0cckMx9UKMlrmV3fK6vyXosx2q7VZmKVxW/W1UkyTi4nfZOK6n4BC0Nn7mnzn/4/QmOnA3LJobi7iGkIJRQk7Yy8yTf777cuaEczJN/ne8TlAek+XAkSblRVmWWeX4Xcs04jJE5MHJUq46UL1TjgmL1ywEhELKy8WoVDKJ8PQeKNZbpdsplF6WcmFMcOOZhbIacKpPhtpMtF+7q9yo/m1+vIh9MkX1dSQa5PVbFyHU9/nwkcVr9f/V4SDdsKfQFrYbioq0+22eaLK02WVxRyPByrNz0/yydO/TQzPbXuj16ZtuGMNBsm7Z0NiuaDUWr4YA9iECKbOdcUZZVluAeZ+Rx3b2+3h4JKKtZ0THmLqWJLRl8DbhLeSJlihdoTswr3v/JJvsOhdDM9Xb1PsreI6WwsP7yKUYP9kjlYOXfjTP3yKm1YvxcVk60wA2jr7A6pR9eLZOo1o3Lag25dWPVymBUIoxCC+sCamtcKj8yXHphwo9+d5dHng04Oi/KACN3ymTJ5Dbzuk0uWfKgM5MiKrMSC4+8qEWhGDNhpXvvwlY98lHpkpeElZutiMLQyO/5Dta1QGCt4uScZLWnEAgGhPS0JEkU7t0DL3nx5dRqddoN6K+eQmsIAoXvVcYYZAFQUf5KJUU/AtRSlozuYz4K7NE6lPV2zq1YgpXnMqvvzp/LrM7b3d3Y46VVyX/70zZ3PVHLqgTzZE61YtCtyv6ILBktTRCMNmkUhWPjRJezmygBvQ7BratQRphuDNijxVfZuTBZjTW5DCndFCltJldKHW5MtuuxUbiZJQqNO/66b7n1moh/8s5VfvWPJlnu5xqcTGNkBwBX+xLlCkZUgs5ClmRDOUVVm9ss6Mzqw7PrW1SBLm1xAeTSJZcyZHZtsQkspXuVP6apoTuQxCkkic/WC3ayadsVDAfDXFXB1i2buXj37tvPLS38Rq0eukFAgdM4RUFRprGLptVqTclYMVS1lLWQIKrydUWO5HP3qh62HHNJCjBXwD0SWArH3EpphsLye59s8oefaNFNfLeeFcDO3RM3u69aMVgEmJIxDT627GdAXi/YzE4b/1O38YKrCsOvqSq0olJGW/7MyGiJYninGHVTqnfrtLlOPVoe/OTbuvzUW7vUbQpGu1HDxT0Bm4I1aOvS4JGF2GS2nHWPqSF7zDbRstlOaNWvLaR5FlKXP5N/z4zf86SWtaMXfHaEjIUktUSxYRBZ/ECyunLyNy66aPft0zObSoDPbtrCD//sf+jf/tCZI6cX3dEM8u0/lB3RgKLqfIx115S2XrV+pFKzXQkW1ViCZpStx8CuTKViUFfArlGifG49w/OHAv7s9garSTYZk/WlSTDC3mOrUVXzjbF4aXFVL/xReZJbhH8dqNt1HovS2Vy2VJqQ19alVDvvJdXue1uAeXxbFNeNb6wiTRUtz/L9r+1x2cURUqdgM5Db/Ll2j9ZgLMQGhgaiHNxWkFhRADi1DthpXhBV7OJcKZSq1pJUdperFlLlP1M0fti8Fir7OW1JtSFNnay7YLtk9/YzR+794r/tb9+2pZQoAP/PT7yFMAx5/NEH2b/3KQJfZRs4VWZuSzsG1qpmHrX7ysq2qv7OvzZUEz2jVqHJtHnumtiSuYWpyJRSlkiZonzN04cDfuY3pnjmQIj1s4bbgrVH2dvPg0RRet7rOSaV6tKRzPsaYGfLZnEbt1O+HsgrLWvla2POCaNp+zyD4jRwzthZx3vFFxdGIIR08sRYl763FpnpcoFFxJarL05478+v8JP/UfDMwewAFUUlFY2Bh0WQIAoL0xhXv1M4KSIvcxAVyUK530/lNVH9M5n0KZrK8p3Is6veyS/H/ql0w4xUaomlwZgUv3Ed2y6+meEwAn61ZHCAHds2sGPbLFs2NWg3LGFgCXxL4I0OtqyWtFbrtVVFiow2B4+xd1YYtV7CppAmalyKfH1we76mayW/+8kGTz4XotU4a+day+lEn6olONZMTBXsdv3EzpjursqVEs6lA/AN6XvsJQd0MeIuVLvuS0amYOxqY3I1nV+wemXOoTUSbbOCrIzNRSq49vKIf/iWHi2ZFXjYtHKvsrq7GNNcshhBbByzJ1aQrsPm2rpfmWaMn8sSbRhlbl1h+4Kpx4qrTKVENrUkiWG1lzBIfPzaNCqYLI5nweBKefh+cLAW1g+1Ws0LYUDgi5HNUl37Vy5bzFr9LcZZufS2y69NpdAqZ+tKUFkNOkVVk+tMvoxKFM/X9I3g/Z9q8rGvNImUa1wYzVY6qZLPzfblKHuLcXlCGVCOyo/1t0KsMnRVj/MNhIpd77kd1d8FcVbkScn2o26KIHdQ3L8pWVxm6XGXOdRGZjkLi7YSMjYP0pS3v7rPnmMe7/9ki16CYwNDeVByVkVhkaTZzBMjsj02jUvTexUnRYps2xPhcrTG4Ga0FEEkZaNE4aNnQz9z9q8cqfHRFsYaJlpNms3GoTAMDiZJUvx0weAzs1t57ukHv9xstT68cXaKQKWEviHI7xnQ89HD+VjikQKnSrNv2YRQTpwqs5C2EoCOZidzHa5GmLrU2iP6W2m6seAPP93kP/7hBOcW/Yypx0AuVcHegSjrTfIToBhN7BSP67B3lZXHC6/WljB8YxW+RpbgzuiIk0IpUYr0fc7glaCTPOA0eeaZMUbPZqnYatCpsDZjcq3YvMHwr3+swz94S5dWmDr6tBmb5wxeBKCuwslYiIsAVJBYF3AmptTi5b0ahEKq858RI4yes7n7fv6zrsAqSS1JCnFiiVNLf5gyMTlNq9n68F133//lnTu2rWVwgEZDEQTh5+s13pzW1TWep51EyYbI54mXXBtXNXhpAVIyslhrF4oxrV1qc1MkKwrmFsaxeSFRRi1BWbN8+vMN3v0Hbc4ue46aZZ6pVJVHl5jxxNoREOO13uMDiYpgklEpMi6x14L/r++njNTWj8mWcqSx465iJzZhC90tcu/bZMVOI4GpkyY5i1srM5a12b91KX3HqYo0tmyZ0vzrH19lcVXy4c+1oJaWVFgwePUmC11uDOis/MHDDe9UWSLM2Py4i4ostO76Ec5jH7Fr83sRSGcdPdl2h06mGULfI07Fk8oPP28TM/bOKrcrXvRqnnvyq/elSfxoEAhqQUot1NQCTeBrgny7j8oQ+VHGtpWki2WN0PJoIQAAMcBJREFUWzJSxlrV4dWv8+9XmDrT2iOvhZaDJz0+9LkmZ+bzIqoqqEvXBMrAcmQXMhx7CznK4Ove5bg8qQwnLS6A9dD/179VU/MjaXxbvuYGj43NUCkeS9bO3ZMR/V1xU2zFNrSZo2IyJk9jyZZZzTu/o8+FO2Inrs0Ykxf2YVo4LGQauXBZDMQjjJ7biiWr5yyfZAytNdnXo8wfa0hSQawFcSIYJjCMLcPYulr2KH70M5+94763vvl1I8fUGz/IW7dtQQhJf2UZq2M8JUadkYLdKqw8UvqaReYjrM0IY48zumN7M8L8jrV18SgKHa5RgeHQaY9/995J7nysBmHVLRnX3y/M3nKMtXOg5q/njDzSoTOuwaso/5tj+wXAXu6EXJB74YdTTjrIHZSKdJFV9s7HTgjpSlmz16raHKPcectmV5mB5bbrhvzKz3T4t++d4PDpAIKxN2lwwjnLkuYHyOICTSNdoOllsY8HaOvOgc4ko8xKa4V158mNYHbH1Qgxcp60oNiisNh5BEujWWPbjp0YY9YcxzUAv/zqWxHSi88cPMXq4mksqiherxZRkVlM/197Xx4nx1Hf+62qvmZmZ2bvlbSr+7Tk25KwfOFgLAPmcEDG5IUHhDwwMYcJfHAwvITjPRIMCVcgEAjwgj+8xGAbxyYYWzZggePbxtiOZFmytJJ1rLRaaa+5uqvq/VFV3dU9s9JKli3jvPp85jM9PT1Xz7e+/a3faeQJAaxJIFvKEpIBdfwcNXLGvhd6UiTgphrcg/sdfOpbJdx4Vx4NortRqW5NaRanNF5YOiSTYwkrtgOZ8hawQAxrsUmSbTMSDyax9zQHZulDWjpwDJjt0hxARp+T9PFWmlv8vHGh60s50R5NqlmbCFO1VYFdSOh9CuRCMr0QZeBCInA4Ln91FVwAf/mNEnbs99Si87DXn6T+SmzWgwE6wEDgaKnCLaAyDWyRkS/mykhJ838ipUp2WLRkJi57w8WNMOL4xEePAPBCWyfA2q/p6uk/ifLNr6xW61AX8vRI0osUawNJErEBLSHNgAfSzE9NjAsV+r209ia2BtfM7QjsGHbw8a+VcPPdeTQITTyVLWJNAHViTIWqLHs3mwVbeC6ztm6gib1tnR5bT6xAI3N/WHbPsHT8OAVqC9zxfsXYJE5rk3Fgk9lWjC0tLQ7VMQESAprF42nG9H/LEEUSLgTetrYKhwHXfq2EHcNeC9RICyM6xlcX/YTUkY5EgdxcTZkkSYIJAE41o8sE2HGhUCTn2h4RF/DyeSxcPOeepQv7r9l/cLLpmKavSpwObPzdT8eBrs3V8bbz8t4B5rAQpsmQuSUdArKOHNkE7NQNiZPHSBlbphDD3DHQlXmQOBx7Djn45DdKuPmuPBqmzgIxt6zXUp0cl7QIg0Wz5s6GyAIZU2EK1GmzILERfhw0iu3UAazgKiS6GzALLR3jIQkE1IKTQGakyRRJyzIJrSWE6kmgGBxCglAGziUcCKy7qIqIA3/x9+3Ye1CzhZmBNC7Jqex8hGa2CSApJCHgUBYUSlQzK0ZUl23D6lSzusqakylgSwBcyzOzLJ7f6fLl8wqbb7ztrvHL33hx07l0Wp1gIQiIGLuqkG9b1ebtPd13Gwg5RRQxcEHjE6T+4KllSbwPAnEpiQzYm3W40MDXC02oMhGRQ/BPtxZw4x15NGirxaS9Tzl1Yo/lFOzdFPqLzH3M3qSZxaeAJgFtkjHTArW1oGy1P2H1RJcnsiVbaiLL3slNSRX1uyGpliRUT5YE5JAs0dgccCBw+doqNm93cN33S4gANbOI9siYtsgmY18a0tEhhoQlrkukWT20wR6vk7StXJ9HoR1DDakS4aNIos2lyAWFJw6MTF7V293W8ry2BPiK0y/Fzqe/wzmfKzc8vAnlQg2rlkkw6iOMXHDOkiswsdiYSmUwMhLFYuikTJf92DYVaqcP4XofV4BnAmAE6/8jhxvW51CPg6ZZC9Z2YnDHl0J9CcxKkqxjp1VYLDLsPdV2gue0Dj8qcFuqplmfZy0siV5P7OJIwG1pcdnE4mngS5locTNB4+UtlRCCgVDlUfSIwBVrq3h4k4s778upAF5TrdVMhuw3jsMH9epQ6qRWDXYJCq4XnSQGuQK4A2kBnKAmgQYX8FHFuSvG0V32sHzparnnUIP/2bsubnluWwIcAMLgYoyOV2/44k3blxwY2Vn42/ftw2tXhxibdECIiP9EkrF+xI+RMLO6zKRlCbISxdbihs2ZBHEIfvqbHK75Wgkbt3tKUFObvWn6puOzU2ZBmgb1kbJ0DFSzRGyrkyygszHg0wb3EQ9Qq6nE0SMRl3OABrX2NCZRhkmCMmnB5ArQaYtKnOqm9bzygEoI/Q2Z/q9OXhDiSx8ew8cY8LPf5NLy27ZrEmMwJxbISQLu+ITRmJQkKCJC9OJTWV9cfZaN61/WIlyyZj+ue+8kOjvnTHo9p99AaAGf/XDr08emOq9f/cpXcPb5r3/05AU9f1rAzvJpiw5hoIeh3nChDVIxU8exJMx4H+3IPyvNLLaMmEWo3mfHexOumJVJEJfg1l/ncO03SvjPbZ7ql22D2w6kMrKFWtGCVCZ1TuzsHLssHbEyaUw2kl1KjQKmPXlyvC5fp23jpnEX0Zk8ZtWvLAQk3h9vG+tNRvunuraR+H9PzGK0xcQ0wWBWzZnUYtmqn2hfeWAdk91nx7rHJTDM1U1I9HQJnLYkws4hhs3bHViZw5nJKdPaS0pF9aY2NOx7mVwBTFiwRSZG8nMuMKurCld2otx9yd7q5MR/nz3/FeFUOJ6SwQHgTRctw/j4IeQ40NdJMVnJodbwMsm+dgirkRjaKwkRmxYB68RZFhikmF7fa31x668DfOIbJTy11VMFMlsyd5rFbfY28d12QoMdBmsDzCRbpRaM+tvGD/UfnuJuyzqSvT9q+k5pbYu9M/EpTaZEgxuWSJUUexMVp57IEiNdqHpOEF2jkGiJAhBqtDhApFDH6q9FGwInzw/x1+8fg5TAv/8mB4Drk2e+oEhOZqy9zW8zTA7N4PpeGuISAFRvoYgSeFR12mijwLikGBwOsGWogFV0GTyv/bCn+LAA7+iZUR/cc/B9j25b9OOtO3nh0ldQFAshckEdjBkmtnpOGpu11tEGvPE/Zv3zyaal0wEQqkoZ3H5vgGv/XjO3ZxIVMwtLZOQJUZekVHUqA2QL0Cm3vP4uKetJdqFps5yF/ymBbP7XI4H7MDPB1t9af1jAJqkDsqlrdnXaVN9LUyRImgplymwoqWnLbVXQkiS1+EwmoIoAIw2JU+aHuO6DYxASuP3eQBcQ102esr3c5BQ/Nj65RmIyQJpOGy4kUSIjYBIlT2J2GbhoVQ5vu3TWZL4jel/EZtaPGeBbnj0oenoXPPTOt7x27O47RgrDo1X43gQCn8DkSqoOwWHc551SjggSYTyB1R/hUsWsrSwFiiYICFVZ4Xfc5+NjXy1h4zZXaQ1qnQBibxuQJx5LV4O8KQ3Nim/IgteOGmzlUEhZUGx0pyV4E8qny+TNi0nDhNbz0tjI7U5oxHqNZm1MtdiEBe7sYpMqljYLTin1tjb1CYCwJI5FLT4lSCixYn6IL149BimA9fcH4IY5Ws1gfaVxiITHrB9NCEJBEUmqAE0jgLl6XlNwfV3xmER3GyDDMjpmvGls9pzZD1Umh8Xhzu1hAb5oQS8ANhxObl934TnLfjU+fJ+rKrvqmttOCM9twHMbqHCObbsp6qGD9Q/5uONBHw4zXjZg3R/UcN4pIWZ0c5SKHEzHAMdg0OD+xcM+PvLlEp4edFssKFssLHWkINE/JmUORKsYk2azoIGUDdzkOSQWk9TSksSAT16bjk+ZDsKNBSW+dNu8HwPAso1DxpPAto2nDRdEQ96OU0ELhgayNnFpLTgTQGs5Q/WX0sZ3KgREQ2L53Ahf/sgYPvBFgl895IHbXWGhQM0EUCxy9PVwnH9qA2+5sBY/7TDgzgc93PlggHrEsHuPh4lQxJO4QTzUmapyPDrRQPesM8Ode/m62fPahwUtH/b8HhbghDgYHdmOGTNn7/KdiWf3iMeWFoIxBH4D+aCGIKiiEjbw9DaCf72rDT+8q4CD4w6iiCIKzb+r6OdXj+RRzkd43Xk1XL62hnNPbaCcS2axoMD6+318+O9K2DzoKiq2U2oSMYGUNNFobI43sYHezN52Klq2TEMCzgwLkzRwW+KXwCpUk6H/DG5bIz4+ZS2Ps8Eca3JiyJHEMd+JDJFp3R1nBGVZXL0GQpFN7BACjSP5qAQkhIppgWrZpxIjJZbMjfD1a8Zw9d8Wcff9PjiE1u9AOSew5rQGLl9bw6Xn1lDOCTiObRslOP/UOj79JyqC8Yd35fCvd7Vh23MRxuoSkSAYpy7YpERXuYSlS5c8u3DhnF0bN2/H8qXzDwvwI3LM+KEdOLTvYThe+/nVsSc3yMrt6OsKEYk6Ng5K3PJrH//26wKeGcyBu5pR7Wu2WTGb3L5IoKs9whUXVfG+t1WwdCCCQwnuetDDh75YwuYdDqRjgbilU8eO91YLS5eqAk0e0XVNSFLjhJGkLBvVPXeMlURty2QxShOzIrOtJzR5zIxlhdj7SGxtSddDQVwjJX2M9R1S20muq2l2m9SXaZ0Dy+Ln7ees2Hur1HSrpHAaGwpk2uplWcSoFQ8UR38SrgPhpGIMh+LpHQ4+9MUSfvGgB0aBpbMjXHlFBW+7qIquMtfBiCpyUeqIx+RqqL4HPIEtgwy3/CbATzYUsXF7ERO8gEIg8N43vQLnnLb4gn0jY79+9QWnYemiOc8P4ABQq03A9wuLNty3/nsPPvDt8xfO2Isnt/j43s+L2D6UA+DqwjpGE5sVs0QcYil1iKWIgIaASznWnNLAtX8yiVpEcO3X2/D0NhfStTV2K3nCkE5mUG5dn6iVtsm1dCxQOzGoZdoMSJAAhFj28qaCPsaEaD8myTHMmPE0eBlJPZ4OwO3uFwbIadDL1PMKeEgVTbKTve2kEmqysOxSHHG1XhvkzVUN4ohO21pGMvH5JG6fDOIRbNzm4ONfb0M9IvjEn0zinFMacIkArwNCOODcVUnPgqnQXamdSwSxgy/wVYj0tiGC79+Rx6ObPJy5oowr3vCuX5+yfO27K9XKlkK+cETsOkc8AkAQtOEnd/5qi+93fi1XXn3+V25cjwef6EZN5nQLEEdHrlGYOOlkwS0UsHlDX64l4EqEdYJduxkOjlF87/YAT291IONwzJQhNr3AjDU5jTVv4to1ya7pWif2ojIbf2KHxcYfCSVOsibDrGMoRRHTtg1OMWTzQ5naTnrmGMtKOi48MVSYRWpcZUqq9h+EWZpcSG1WzMaTp3M6CSOxpDGufOVMtfp4EtO/HpAhsGxhhPevq+L7twfon8XhOhKiqheMwkHEXUTcAecOuGBx2Ic6x2oyNSI1oQa6Q3zijyfxi4fGke85H3MGil8bGlq/ZcaMtdM6rdMCOABcdvE8AB0PbZoxfMsvHxm/rPbUEFjggxKqMjZIUmPEAFzV0WCoc5NSpetRN4CFAxE+84EJvOmVNUQANm9zsGOfYyHN1t4aQSbOwVoJKpeuDWppmQbtchcW0M276n22No/BmjUJ6idjs12rQYyr2zYpTm1NsV3zKYua9WS8HT8mgF39yoAT9mOZfp5Yi9J4W3s00cp9b/S3TlrWFhomE0DHn6tDAGLvNgV27GL4wc8C3Hp3ABYRfOYD41g0M4SoqASLiDsIQw8hV6W6zWfZeQTmqlFvCHiOgwXzl+K52upbntyx5iERHZgubKcPcELm4fZ7dwwumnvR1dTZyWb31t5Qqdbh6MRRAzDHsuELCdQ5MEooKtKB1BHwCwZCfPp9E3jLq6oIGPDWtVX85nEX37+FIbQBlHXppezeSX1uRlrkVdpgbrKkZKwfZv7Ex5I04G2gI/PVsnMi85pjGtJ8uIzDOeKJoIEVV3o1LzFtv818SNVRsRKTbROjsZBMxeJEx7FQYw83tnEBEKrjYQyj6UpTEvj5vT5uvDOHBie4+e4AlAGfuXIMC3ol6qECeD30UW8oJhcq4wEmmSYVag2BGmtHb8fs25YveMXVwKYdhJw07VNJp30kgNeeOweP/+7RHe9841lPrlrSiyJtoN0TKLoCba5EwZUoeAJFT6DkC5R9gXZfosMVcAgFGhLzeuv4zPtGcflFFQRSQDQEPCJx5WVVlEr2RdlAxGbsNHtTzd6pcFgkjJ2Ex6bZ+3Dl2LLSI5u1k5InTUAm6cfTNRPa2xZzp57L3mcDrezX6/1C2mBPbrABjTTAm3pxWscg3k+TmPP4S6lvNjpG8a1/yyMUFHApanDw4zsL+NS3yti+n8D3BAR3UK17mKwFmKj6mKz6qFR9VGseag0XtbqHWt1DteZjsuIgogvgFS988tDQY0cFbuAoGNyMZQtmYOmigeueePKZBZNjI1fs3T8GIVVdPJeqvk6OXvkDqvoQoxTjocCyk8dx1RsPYd2FDTDOEAoVXMUiiZMWhHjX66v4yg+L4I5Bh40yuwKP1t7IFqrPJDHAcuI0sXpGstj3GcnSEvz2zmkA+UiHZAFs74/lh7nPyI5YasepbEjkiDnWljPaVi5ha/PWLA7N4mD2ZEhPFnOiOJP4/k9z2LTVVZYwovov1iXBj+72AMbw3jdUML+PYKKSw3jFR8RVXBOlKrld5fuqeKQwIqBuL0q5xTcUu1ddVx3fcbRwPXqAn7xsLr79g5+NLlo47927dzzdX6lOnHdgTKoyxK6E7wKeQ3S/TfXbiw3g4rNH8aHLx9BRcBDVHXAIVZFKRiCIwFyJeX0RqJDgKWRY4iDW4IhjTpJwWAvAGa9lVp5gKlC3AGsW5NMB63EfRqZoaWLtju+VpMjGrSQyxSyMjE07to0bPT2FFjf1VlKyJY7cgbWtgqO272XgIdWBcQym2UADDD/eUMT6Rxu4+jKBU+a0oVp31P/oCLiOKk3iexwBAN9roFIPMDnR+ZuTTpv77t3P/qwysOgNR33qjhrgAPDed7wOQ7serJx32trGdd/+MX5yVxWlgCLnATmfwHfVzfMIfJeh1Eax5uQi6lWJUVGH59XhOiFcRgFHA1JGmNXHUezkGBlzEjEf106jMSIJSdibkQTUWQeOIn7ZzN4m2CsD6Nh6AjRJE/tiYu8yr5kukx95WNYRg944iMmyqFhpazHwYzBbx2cXmyngmyz8w7O4mgRJrEoscawfTSgwepBh95ADERc+dwHqAdQHcxwEDkFAc7j3UYmw6qPcRhH4EoEr4HsCgac6NztMosAaeHZ/CfOWvq7xwCZaedW55x/T2TwmgANA76wFEEI8eOopq9ZseOD+XM4LUQgIcj5B4FEEPkXgqzrjXWUgDHMYPsTRUaLIa+8VIRJUcAjK4QqC81bWcdaSCOvv99U3kxZS03BqMg0mbvmM3rbAagO3qQ64Rm1WecQ3acBNWgL58Ng+RuRbC8zsfiXTms2ETQFWBDq+xPKOZoOyiL3gTLM4mpgcsf6GLVMciUc3O/iPRzxwShJfBfVAHRdFB+jyJboLEh4l2DvM0QgJ2nIU+YAg8CmiSOiS0AL5XBtWrFhdbZ8570FCjmqpeHwATkg39h2offLCNWvl44/u/vNtW58J2vIuAo8ip8GdDxjaCkBbnsNhApxThKGDyHXAOYdgiUfL1OeSNrXGuqC1W96YARlkSqJkSx/HS9MscFsAP+uOP6ydmzQ/PCootzIPTrG/pb1bKvNlUhxfUXRac2c0uJ4EKgEnmQgCJlArzeKJXEHcByg2H6rmmSnTqUz9Z0qmuIQgxyQCR5X+iwQwWeNwmCoUFHGKkBNdb5CgEXKUu06qnXHGa7/ieu7/JOTIDp2pxrFPDQC9XYG4554Nn166YMYXTl7W3ygEFG15hkLeQVueoZgHijmBnK/KvoGYgoo0LkYjdYFImEttjBYL2JZIJiQxC7bqhmYHVbXS2HawlY1KW57YJK1eT+KvdEQQk+T46Q7bYtIcaZk+zmzFEgaJDDHb0gRuWWbFxDqijxEZKQJbi09tUUGLhabU2fPJwtycbLVmMv2PqD5zUSRRqwtM1iJMVCOMVwUmKsB4hWJ0gkC6Aw3i9H/hmf+879OEFA4bLXikccwMbkYxEI1Zvb2fd0i1IaPKZyFDWshR5AKgEAgUAgVwz+W676X5i4gVQaeKujzyOxebntX6O2Zyy7mj2dhJWUxsjS1TWvtwycRABrAWouPN7HxD+jFpsT9G4nHQ43HYrEx/L3uxaWrWpC0qBFKK2FJCYgcPUtLFtCckFqBJ3NUta0tXUiQuDydVkkRcYCgiWDY/wpmnhFj/QAAum8+xhCp4H0aqIhWjIv4NQjBEEcDKOREU+j4Lt+9LQ8Njjed7Dp8XgwPAunVvhsNk9aRli29ZufI0WcgB+UCiLSdQyAnkc0npN4eZUhDGiK//RiIgqcSzux0M7XN0PLEJuLLYG4grJNk1vbOdGFpFCtrsDdIM+JQWbwVc2zSf3jjuZhU5xeMkZNYsQJv1TTYv044jTzNyujBnLEFkdrFJUwwudexIIlN0eWZO0dfLMW9WBCpN0oNxMCXdiSOunH+1UKJal6jUBCarHJVqhLHJEPMWrJD9/QtvqVaj6qsufuPzPpfPm8EBYPbs2Si1dz1TLhWuynnimzu3PUaL+QiFQMD3OXxXA9xJaoPHxTb1dtQAnt3jQDCzAs8GXOnoPaSzdZoz5TOJxUhLFoPHZlZPwHI45k4Nkrp7/sNiflt+xNldLQ5XG9pEaL0m0d4G8NIYWlLufWM2NJOFGAOAmQTSdGtubQc3k0BIChoRLJgVwvE4QpnkXnJJdU1CiZADLDQLZKXHOecgAM4/d6WYO2/BVYsXLnhm79C+43JKnzeDA8CSJctQr441Tjn1zO8WC+yj/TNLKBWqKLU1UAhCBF4UF+50rMRkqiPHmCOwfY+DG9bnwZmdqWMtLoE4FMAAualCLNLau6lwPTJ6PPM7UqZBtLKBE2t/sz36eY0jzRKZQbnt8bSOSZyZaQ9nwv4tdPdUj+PArDSLC4vNRcziDIRT/NGra5g7KwThSduTSKryyqEgaAjVV74WEkzWCMYqwPBohCDfAS7ZR1euXPndfcMjjWUnHZ3HcqpxXAAOAHPnLsTY6BA/c/Vrtp56xtnjc2Y56O04hGKhFssTJ+6zI5P2fyxCnXB85cYC9o24Sb2T1I3EbvmmXMuMVGnVjaFVDmYreWJjrUlzTweEL/KQNshT7vpkfZMCt21ZkSSz0LT3Ny8uRWoS0Bj0QoPc1Brv7eT48OUT8ON64iGEEGhw3bSKAw1OUI+A0SoweIAjZGW88sILxtf94aVbn9s1xJcsWXzcztFxAzgAeH4ODj10W9/A6vcvXHHeSK4NkKIBu+cOYxwOi+J71wtx53/4uOvBHEJitfvLlGBzSKb0cYtsHWpFB7ZsJJW5AZltWCZ387gp0mQa41gmwjQvA00xKodh9Sb3PGzrCDKWlVYM3ZrFY2ALxd4G3IIzMEFx8aoa1p5bAcIQECGkiHSLE1UqWejvFfII7Z0e3vymC0YueuWq9+8artyWz+eOJySPjwY3I5crAwAqk8PXu6XXOHurxesmxjf0lHPDcB1VY1DVE+dwWAg/18Cu/QSf/W4Z23bnAE/3kDc3q0pVqq8Omk2Dqax58zxNLz5b3gAAJAXsLKBauvBPFJ1rnZ7IdW3kNtrdaPbY02jHpaj6hRQ6C18X/oFQjX4F1ClPIgeV5SRJgbNrGSa5m8SU1yFSRYvOauCv/nQUjz7t4bn9DpAPEQkHNUERaCeTQyRWLuvAe95+wf7Vq8/7izAMr1+xaOZxP13HlcHNyBe6EYXO98848w+u7Z+9Yr8pzabamURwWIhcroH9YwJfv6kNW3flANfTbl3dalsnNRjLCZuCvW0rShPos4tNNMsTIMFuyvb9fE7AsYjy5/GBaesKabKl2ywOW2uLhNnjYvmtXPWttLjpxSlonJ3DuYOIe6jXPSycxfHBdWOYUa4CtQakCFE3Be+5CvY69eTl+1etvODaKJTfby93Pp8zPuV4QQAOAPlCAcPP/ey7pZJ/Tblj5gghqqSEwyLkgjqGxyP87Q/a8I83tWOskQecAGAa5FaupUOSZOKUJEHrKEKT9JPV5U0BV7CcOKQZ5LAetwK8PD5Ly2MfLT4+7fDJLBgFEgCLdJ/N1l3bsmZES7rAeqy7RHAD8MhBI/SRdz1c+eYKPvqOg5hRmgTqdUSCq45sXGDOnP4RP2i75nv/ctd3y+XSC3aaXjCAA8DsJW8BxcQPCqXZH8wX5437Th0dpSomGg1840d5fOeWDoyFBcDLASzQDO6A0KR4pun1QgmaTIHZfbF10Sws0Qxs+7FtDz8Sg77gcD5OziEgs/iEra+zGhxI27+NVSTTjjDD4qZFijmeCwrOmcrUiVw0Qg/VWoAc8/HeN1bx/rceREcwCTleR6UaYcXSOeNLFw58cGSs/oMPvedNL+hpPa4avNVgBMIJyjfU0B/tGa7988ZdDweVBsONvyxhrFEECgEoc+BoOUKQxFhRWOUf0MzesfMGzdJkaouKvS+h8uwCMwUYHDfsHb8xxRdS31V7NbX/MLajGw1OFKh1vJQqsCliRa/KuFGiOi5ovZ2UnIAOreBI6pSzOB7GmGojpqoQF4sE6/6givseH8XIeAXzF66szeyZ+T/ay+WbKrXq83LDT2e8oAwOADMWvxu7Rw7x/qUdN/388YVv/9XGlbWJSYC4PuDnkfc8dLgEHa5E2ZEoMInAbjeCqYGaLVqZto23YPeUHicpbX5Y3FiXfhJvWnbp40zvqe8Uayf9qQSHWSOQ7NdNQmXtrB2rKRUXCbvH/eFTzG0lNxhnD4B0JhDAJdOpaC5qDR/VWoBKPY9aLY+o4YK5Ale/c3bt6j8qvP2325fc5AWH+P/+2BUvHPD0eMEZHABOPfN9eM2fXc9//s333/zIA998z+Bu5/oGhlD0Gbp9ocp4QS1A6hFQ41a6leWhM+BOmwaTvMwm2WKXNESauVP2bzI9ho5TEFWAh/7DWxw3zfdLjRaLgCStIPN+U7G3Cem1JIpF3yqx1xxjal5qDmVUgZvo8oKE6GON9QSIO0k0fw81aSLOVLQoV21QGBMgoKjVBU5fcXJl24GF73rbuqdvvvsVGyQh1xwHZB15sOf/FtMbWx7+CcYnP46589aU9o72n//4k0PS55P5Nleg4KvqEwSqilFdENUSGoi7bzH7FtcVkam6JXF9EwvcqbLHxJQwTnR3GvjN+4wd3mAlnhzmOSB5T0Ks50nqRlP7Wq8N7KuNfUx8bKvyyalbUoIum7AhW16n0jOlKQgt896mM7HdtNc8LyVFGLmo1n1M1nzU6i4aEUW17qO7Z8HoK06ddeXr1t58w1988VKsPe+qFwt2Lw6DxyeQBgBw7+vPXrXkC9+5/h3jE5UvPfLYf3ZNjo/CdSn2jhIcqBFUBEFdKMYRRLW3MH9HzOIkHSprF/XJApvYoLb+yNT2FLHZxDBf5rmYLe19OEq1kjFTpj85c1wMOpkBn2widALDtEkWkFHYJrowrvttCsKakWJwGTeZVbHg9mckDXvVDgkaOajUXAwdUOWUuzo7Ue476UDICh8ZOdj2L+17CL5wzTuOI6KOPF5UgLfliDnfeOtlF/3AdR3nrrl9n3/g/g09LhnHQKOKHQ8R1MYYQDjgOog8B9xSvqlM+Rbgtrs5EJouAXG4wKkY0C2ArgCThJiSjAaJXzLlavTol6m2ZYdkHjdNDJLejj/VfE/944RM2vJBKjYGiBVKm7yWx4t+DkER9+CMP4YAjAnkvAY8L4IkBM/tbeDBjW04MEIxp78dJ59x3v75S1/xccGjH/i5juOGo6MZLyrA7dHb047Jycr3Lr3kfDJ7hvs39QM/7Xl2aAh3PVHAkmV1RJDYsr8N+ybL4JTFHkXSpLNlk+ZWdQabpYAZKe921u1N0geYh2mQx7JWB+HJtPA+Ho4ee41gHZJeO1hZkVaQWWpI6+piIgb16006m6qAQAAirKukVPHetNnpAx3u7DkRRifrGNwBhJKhw6/jnicOIgy78MpXXbB/zuJzruVcfi/IFV9EZKXHCQM4ABQKeYSNynfPPOusaHjP5Jd/8jA6FvdU8KF1+1HIj+G6f5G47YE2wGMtQ1yT4plItSihul6hsZxkF5HphN4pYjv0C8xF3izQYE0CSTSbZwm6heyZCvOx7pWIbVpNWI9DfWVLmUJT4FbaKQm8Sgdb2Z9LQEBoUnWWUaNPAEIoBBHggoBqeZL031Thrjk/wj1PEPzND/sQOAE+/GaJyy8uIgxedfCMM878WKMR/XOp1IYTOU4owAHA9fKo1mvXk7ZzR3LFsYXvfrP4Qjn3S3fOzDF0FFQLumx/eZrpuaMKXgIOTfrfMGoDIIGM+rN1IL7ZgQT0hrGpaexkNzewLuUmz9G2Fpp3OFbroc3Y2cVvyuJDEtBn79Xn6okH9Rtjpw3QBHJq/xbARKrEUoYQCiGk9mAmJkQuKQgIDk0wbNqRw5xSHqFzdnjOKdVrBpactZWy4N+ZWnOd0HHCAQ4AOT8Qg4Nbbrvqv73JiypPVQIx8Q/3PjJG7tnoUz/noMAkHGpl7MQglpZFhTRVazVtogEkTGpc0Fa2iZ35YkBueoQJod5LEpm6RBtJksq2STlYzP5j0N9afsRf2wK2XTUgboNITTy8ud6Y35dIC649liILcH2lMw0XmISa1UQAXIVLMCkhhLDiUCjCyMHYZA6rlozjkjVCDMw8W/bMXPqBOYuW/Z9nnh1qLFvadaJhBeBFcPRMd8yduwjd+a2NmX1d189Y3L/80efO+avuzsXoCUIUXREv4gj0H2JJE4cRVfhTt613GNE3vc8hcM0+fRxJ6E47OVRbDsVWSZqVzNyQmQzxyOxoVXYtO1JWnanmQKyzZcpyYoObxQUrEZvy7MRqIQHOCSJ9CyO93XRPEXGKSBBwTsEFAeeJMwj6e0hJUKt72H8wQHfnMnzs7Yv+qty9YHm5s+/6ex7d1Vi2dNGJhlM8XhIMbkau/VQAqL7/czdvHuTnfP6S1Vu8QwdKn9yzdxt7bDBEreHAd5Ki9Ta4DZhTBemJ8XJaYFZrKUghY6YWup2KAaLRtHEcrkxIO6XfpZE7JF2/5Bh8+8S6xY9JwuAp23Sc1SfjRXaSb6rrmgjVgiRxwhBwYeSK+Z0JWUjdqFgxvAqfBSgokeCcqFRCAI4TYbIWYfueXswZWMBD1vG5Vefwz5+25Cnu95xzoiHUNF5SADfjG598M770zZv4R/7sjz+1e+8hJzx020c/8a3H/F8+wCFEBEYJXAa4DtGMrYCuAK4K0Jvi9KaXpQGOkEAUAVwo8cA5EHKp+gXp40yLGWMdIdIUz5FxNQBTH1sfBbMQbRpHI8RtR0vWeoJEZyfBZjKxJFGZTExIVbEVEuASXABhpJjb9EWypZ6gqtS1uboBgLSqyBIi4TKVX8kowY6Dndg8/ur6JWdc+He5Yuentm/8Eead9NYTDZvDndKX5hgbq6BYPAApc3/zy/u3r/lfX72dykZ1TX3igNPexuC5VLG4Y1hcd1uIOyog7qhgvIwSqs/5RJVjdEJgoibRiBLHTewssi0zesLEFhqqwGB3dFATSn0fyqxuDkS/xtqXbTQbryOYtB4nLUzMc8y0LNHbjunuwGScCkj1WkUKoBExTFRcHBx3MD6piuuY9pWmLYopQuVYn+My9Z6uoz7HdTjyfhV9ffmokHfuC3rXiTpdft/+cXHtin4X+bYTayk53HhJMrgZpVLebF77pX+8FW+5ZGVxcmL827t3bn/roZEhOjFZBWUUDgPcmME1uFmmbYgBGFGyghCC54Yj7B8zLUx0bx+mNLhj6X2iQUEkQGViKWnS4CS7L+PubDGO8HR8jbDlic3aCugCjm5LojKmRKzJIQUG9zo4NK6uMaYNS0IEqgOaYOa3Kwnj6s+rNwQct4COrjmi2DXrxnw+/96wvmt83sI1Jxoe0xovaQbPjo2bnkUQBN179uy5+uFHHj155+6Dlz21aQs6Sh5yvhM7ehxG4Th2TxwCxyHwHALPBQJPoi1fx+a9h/CjDT5qtQAlXyJgEp6jGMxlqkCqMj8mLO2wxGKTMHu6+ZTq0ZNuRjUVgzPdwNnJ9udhCas7Fns7TsLeKpFblx12VGK350bw3Ag5P0Q1rOPGX5Xw7GA7Cj5D4FF4rjo36vwkn+04CuCq3xDgsghtuTq6+xZAkK5bli479cne3hlfrddrwx098080FKY9XtIMnh0nLVsAAMObt+z4yyve+pa5Dz22CbNm9V22Z+dmjE+Mg3OAMgbXJXBdBkZJbAdXwAYKOYn2tgjzZtVw7hkj2DXi4P/+YiZ42UG7qxg3W19FGHsxmp1Cdgm1oxqkebOJbTJxJunALK27jTxhEq7L4bsRgqCO3o5x3HCPxD/d2YWZgcD8PoFSgSIfOPAlgwQBp+paFFECXypGlyFHpcZRKhZx6pLTMWfuwlvau0/6cNiYGMyXjn/O5As9fq8AbsaSRXPw3O7hwZVnrPhYT2fherJ66dW/e2LTBQ89ugnV2gSKhRza8mrV3wgVcBgFfFciHwgU8xFcJ0JXkeKKC0dx75MF7DnUCZ8SuFQi0gybNhOqBefRgPpIxxxJnmSPJcSYC2VSFjrurKZqzrhuhFK+jt0H6rjpnjJGRgN0ucBEVSjmZvpeqmKXYajLp+Uocn6Ers482nuWYsasxRt6uoKv9vXP+V0URYO5jtkn+m8/pvF7CXAAGJjVDQBbpJRbADw5Mlqb2T978T/uHNyy6OC+p1lPew31kGPrLgcOcxD4qih/4AkEvqqyRSkw0MPRV6xicJ9APccQCg7PBP5TAiEzJYphmQmnMeQU22ZMB+OpMAViW1OS1oFx70vGEfghRvYI7N7nQQqKSEjUGkCjIRH56kd4DuA4Es8O11GtSQzMyOPsVafzk05auGWiIq5cfsrqPQA2H20h0Zfa+L0FuBn6D9i8Y9eBzYLzS7o78v29XWfduPXp9aUb7txWGNpTw8L+HIRgcKiA73L4HofnqKpaUhAIoaowcUmbiui0cvpkijY0jzgIy9qlZ0Y2gOqww54RpIWZkCY1Hs2NEglCOSgToJQglEA9UokkjUgi4uo9XIdgQX8F8wbqeGbP0snXv2btWDkfrZs1MGsXo2zw9x3YZvzeA9yMOf1dEEIOzp3dsxOYWLF39MKzX/+GC76za/uWaHjPs52SjxUZE/C9CDmvDt8NwZgq65zzBEz8hYl5AdIgN7ErDBkmtqMVSWIXj6MPZVq3xy8jtuywPg9Zl7/MvE7JkyS5Oin7IGTyTpUGQSNSXc8mI4KJKpBzBdrbGDyPobe3e3zR0jNHFi+Z7RwcY+9xCgvuH5iRHwUgXi7gBl5Crvrj8mMoASFEPLxx8qCTn31HudS+5Ovf/fHCt11xxefOOGPlU13dPb/t7szVymWGfDABghqWzOZ47QU1uIGEA8DTFhTtuGti8HjYnkUYOztiR0sSxSfjhFzzOnNHsqtLOxSgRXwMkF1kKv0shHKzh5FqJlCtEdx6Tw5PDrqQoo4DlQjcLcDLlWu9vb2/PeOMs5563aVv+dxTj9y40M93LJm3cNYdA73DBwkhLytwAy8jBrfHquUzAEW4lcHBHWDM+QKj9AvLVsxnxeJJ/+CxQ0sQ/va8Awd3snbZgO9EEDyETz20+WoxGnEgjKhuiKXMd3biMWAxMCVN3kchAWragggoM4yRNZmgsSSSgOgGUSa8VaZKQJjPptr27ToK4GHEUG844IIi5zUQeBFCXkJ7WzsWzCRo75vDzzt98W8GOoLN9erkVYxK7vkBLrn872SubXblRP9fL+R4WQLcHnPnzgESfERS7nsv4HeMHFzz1488st5b0b+FR8CZq1eUz8LkKApkAoWAQBCKTbsjAA7ac4BnPD8AoAtOEO0hZdrmbdjcMDc3IbgElnxAKqSXalOdKbxDrFSzOMovI3EokfBcjrZ8FUIKbB5sR7VGUQgoPK+Mzp4OnH6y88hTOzsevfIP+9iZq17b8HI9n+BR/eCCgY4T/Ze8qOPldT06hvHlf74TAC6QXKzNo7KOiNpSijrqE5tw76Zh3Hqfg5kFYEZRolhgCDwGhxG4DuC5BK6TOJWYFu8RF4gixb6MEbiOOs7zKDyHwvOUFcN1JBwd5BRGBCFPTJqMqec9R8L31FrBdSQcGiHwa+gqVzCr9xA2PFXC7zbOwZqVy9HdEaCzw3l6YIa4MZ+Td0qJDax8+Yk+xSd0vOwZ/Ejjz9+5FgA2DB8Y2UCAX0cRXzg5cUjs2LRL9AwU53cPzPv40HN7MaeTYWjfXhw8eBBRCHCHwGWu8ppSk6MIeC5FpUZwaDwEgUTgUzCa2M+Nq51RVWs076sMmv0jFJNVY74DIh3xyKiA4A1wSPBIolRuR6lzIcrth1Dq68SBx8Y/v29Mblu2Yg3t7emgjsO2AriDFv9rMfVU4788g081Ng8OIZ/z25/euvuC+x96CjPKLCwWc39OIC+OuIAUAo899hgcUoPrUFRqHLnAQVeJY7xyED+7v4GC62JGJ0Mhx0CIaq/YXmIIPNVCsZiXmNVdQy43itvvzSPiHRiYESDnA5WaCngamFHA8hWnwmEMQhIwRtaLqPrlztKY2z3zZHi52RuEqB9iXv+JPmUvyfFfnsGnGkvm9gHAIQC3AsCOnXsAYJOQvE9wKRphhC1bt0CGAq5DUAspwoiHq1ef+em2YNfrva5aODTUhv4uBfBqjcN1Cfo6GTwHqNQI2goSs3urGNw/Cr+jw13e3/3TkaGnPu17nlutC0hI5PJtGJizHMzxIAHKGB0CsK3c/vvnNj8R4/8z+HEc27fcB0jSVw42l3/1RF0+vbUN/Z2qX+hEhcNxgBldDC6TGKtQtOWAWT0VPL5tEk9u7STnntY/KqQces3F557on/KyGf8PWEHrENcSmqYAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMjI6MjU6NDYrMDA6MDCbDR06AAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDIyOjI1OjQ2KzAwOjAw6lClhgAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 72072277
    {'hecke_orbit_code': 265712378048422021, 'n': 1, 'trace_an': 5}
  • id: 72072278
    {'hecke_orbit_code': 265712378048422021, 'n': 2, 'trace_an': 2}
  • id: 72072279
    {'hecke_orbit_code': 265712378048422021, 'n': 3, 'trace_an': 0}
  • id: 72072280
    {'hecke_orbit_code': 265712378048422021, 'n': 4, 'trace_an': 10}
  • id: 72072281
    {'hecke_orbit_code': 265712378048422021, 'n': 5, 'trace_an': 0}
  • id: 72072282
    {'hecke_orbit_code': 265712378048422021, 'n': 6, 'trace_an': 0}
  • id: 72072283
    {'hecke_orbit_code': 265712378048422021, 'n': 7, 'trace_an': -11}
  • id: 72072284
    {'hecke_orbit_code': 265712378048422021, 'n': 8, 'trace_an': 6}
  • id: 72072285
    {'hecke_orbit_code': 265712378048422021, 'n': 9, 'trace_an': 0}
  • id: 72072286
    {'hecke_orbit_code': 265712378048422021, 'n': 10, 'trace_an': 0}
  • id: 72072287
    {'hecke_orbit_code': 265712378048422021, 'n': 11, 'trace_an': 5}
  • id: 72072288
    {'hecke_orbit_code': 265712378048422021, 'n': 12, 'trace_an': 0}
  • id: 72072289
    {'hecke_orbit_code': 265712378048422021, 'n': 13, 'trace_an': -4}
  • id: 72072290
    {'hecke_orbit_code': 265712378048422021, 'n': 14, 'trace_an': 8}
  • id: 72072291
    {'hecke_orbit_code': 265712378048422021, 'n': 15, 'trace_an': 0}
  • id: 72072292
    {'hecke_orbit_code': 265712378048422021, 'n': 16, 'trace_an': 16}
  • id: 72072293
    {'hecke_orbit_code': 265712378048422021, 'n': 17, 'trace_an': 0}
  • id: 72072294
    {'hecke_orbit_code': 265712378048422021, 'n': 18, 'trace_an': 0}
  • id: 72072295
    {'hecke_orbit_code': 265712378048422021, 'n': 19, 'trace_an': -4}
  • id: 72072296
    {'hecke_orbit_code': 265712378048422021, 'n': 20, 'trace_an': 0}
  • id: 72072297
    {'hecke_orbit_code': 265712378048422021, 'n': 21, 'trace_an': 0}
  • id: 72072298
    {'hecke_orbit_code': 265712378048422021, 'n': 22, 'trace_an': 8}
  • id: 72072299
    {'hecke_orbit_code': 265712378048422021, 'n': 23, 'trace_an': 4}
  • id: 72072300
    {'hecke_orbit_code': 265712378048422021, 'n': 24, 'trace_an': 0}
  • id: 72072301
    {'hecke_orbit_code': 265712378048422021, 'n': 25, 'trace_an': 0}
  • id: 72072302
    {'hecke_orbit_code': 265712378048422021, 'n': 26, 'trace_an': 4}
  • id: 72072303
    {'hecke_orbit_code': 265712378048422021, 'n': 27, 'trace_an': 0}
  • id: 72072304
    {'hecke_orbit_code': 265712378048422021, 'n': 28, 'trace_an': -28}
  • id: 72072305
    {'hecke_orbit_code': 265712378048422021, 'n': 29, 'trace_an': 4}
  • id: 72072306
    {'hecke_orbit_code': 265712378048422021, 'n': 30, 'trace_an': 0}
  • id: 72072307
    {'hecke_orbit_code': 265712378048422021, 'n': 31, 'trace_an': 8}
  • id: 72072308
    {'hecke_orbit_code': 265712378048422021, 'n': 32, 'trace_an': 14}
  • id: 72072309
    {'hecke_orbit_code': 265712378048422021, 'n': 33, 'trace_an': 0}
  • id: 72072310
    {'hecke_orbit_code': 265712378048422021, 'n': 34, 'trace_an': -32}
  • id: 72072311
    {'hecke_orbit_code': 265712378048422021, 'n': 35, 'trace_an': 0}
  • id: 72072312
    {'hecke_orbit_code': 265712378048422021, 'n': 36, 'trace_an': 0}
  • id: 72072313
    {'hecke_orbit_code': 265712378048422021, 'n': 37, 'trace_an': -5}
  • id: 72072314
    {'hecke_orbit_code': 265712378048422021, 'n': 38, 'trace_an': -2}
  • id: 72072315
    {'hecke_orbit_code': 265712378048422021, 'n': 39, 'trace_an': 0}
  • id: 72072316
    {'hecke_orbit_code': 265712378048422021, 'n': 40, 'trace_an': 0}
  • id: 72072317
    {'hecke_orbit_code': 265712378048422021, 'n': 41, 'trace_an': 5}
  • id: 72072318
    {'hecke_orbit_code': 265712378048422021, 'n': 42, 'trace_an': 0}
  • id: 72072319
    {'hecke_orbit_code': 265712378048422021, 'n': 43, 'trace_an': -10}
  • id: 72072320
    {'hecke_orbit_code': 265712378048422021, 'n': 44, 'trace_an': 46}
  • id: 72072321
    {'hecke_orbit_code': 265712378048422021, 'n': 45, 'trace_an': 0}
  • id: 72072322
    {'hecke_orbit_code': 265712378048422021, 'n': 46, 'trace_an': 0}
  • id: 72072323
    {'hecke_orbit_code': 265712378048422021, 'n': 47, 'trace_an': 7}
  • id: 72072324
    {'hecke_orbit_code': 265712378048422021, 'n': 48, 'trace_an': 0}
  • id: 72072325
    {'hecke_orbit_code': 265712378048422021, 'n': 49, 'trace_an': 22}
  • id: 72072326
    {'hecke_orbit_code': 265712378048422021, 'n': 50, 'trace_an': 0}
  • id: 72072327
    {'hecke_orbit_code': 265712378048422021, 'n': 51, 'trace_an': 0}
  • id: 72072328
    {'hecke_orbit_code': 265712378048422021, 'n': 52, 'trace_an': 32}
  • id: 72072329
    {'hecke_orbit_code': 265712378048422021, 'n': 53, 'trace_an': -1}
  • id: 72072330
    {'hecke_orbit_code': 265712378048422021, 'n': 54, 'trace_an': 0}
  • id: 72072331
    {'hecke_orbit_code': 265712378048422021, 'n': 55, 'trace_an': 0}
  • id: 72072332
    {'hecke_orbit_code': 265712378048422021, 'n': 56, 'trace_an': -8}
  • id: 72072333
    {'hecke_orbit_code': 265712378048422021, 'n': 57, 'trace_an': 0}
  • id: 72072334
    {'hecke_orbit_code': 265712378048422021, 'n': 58, 'trace_an': 16}
  • id: 72072335
    {'hecke_orbit_code': 265712378048422021, 'n': 59, 'trace_an': 30}
  • id: 72072336
    {'hecke_orbit_code': 265712378048422021, 'n': 60, 'trace_an': 0}
  • id: 72072337
    {'hecke_orbit_code': 265712378048422021, 'n': 61, 'trace_an': -14}
  • id: 72072338
    {'hecke_orbit_code': 265712378048422021, 'n': 62, 'trace_an': 24}
  • id: 72072339
    {'hecke_orbit_code': 265712378048422021, 'n': 63, 'trace_an': 0}
  • id: 72072340
    {'hecke_orbit_code': 265712378048422021, 'n': 64, 'trace_an': 20}
  • id: 72072341
    {'hecke_orbit_code': 265712378048422021, 'n': 65, 'trace_an': 0}
  • id: 72072342
    {'hecke_orbit_code': 265712378048422021, 'n': 66, 'trace_an': 0}
  • id: 72072343
    {'hecke_orbit_code': 265712378048422021, 'n': 67, 'trace_an': -24}
  • id: 72072344
    {'hecke_orbit_code': 265712378048422021, 'n': 68, 'trace_an': 20}
  • id: 72072345
    {'hecke_orbit_code': 265712378048422021, 'n': 69, 'trace_an': 0}
  • id: 72072346
    {'hecke_orbit_code': 265712378048422021, 'n': 70, 'trace_an': 0}
  • id: 72072347
    {'hecke_orbit_code': 265712378048422021, 'n': 71, 'trace_an': 7}
  • id: 72072348
    {'hecke_orbit_code': 265712378048422021, 'n': 72, 'trace_an': 0}
  • id: 72072349
    {'hecke_orbit_code': 265712378048422021, 'n': 73, 'trace_an': -5}
  • id: 72072350
    {'hecke_orbit_code': 265712378048422021, 'n': 74, 'trace_an': -2}
  • id: 72072351
    {'hecke_orbit_code': 265712378048422021, 'n': 75, 'trace_an': 0}
  • id: 72072352
    {'hecke_orbit_code': 265712378048422021, 'n': 76, 'trace_an': 12}
  • id: 72072353
    {'hecke_orbit_code': 265712378048422021, 'n': 77, 'trace_an': -17}
  • id: 72072354
    {'hecke_orbit_code': 265712378048422021, 'n': 78, 'trace_an': 0}
  • id: 72072355
    {'hecke_orbit_code': 265712378048422021, 'n': 79, 'trace_an': 28}
  • id: 72072356
    {'hecke_orbit_code': 265712378048422021, 'n': 80, 'trace_an': 0}
  • id: 72072357
    {'hecke_orbit_code': 265712378048422021, 'n': 81, 'trace_an': 0}
  • id: 72072358
    {'hecke_orbit_code': 265712378048422021, 'n': 82, 'trace_an': 8}
  • id: 72072359
    {'hecke_orbit_code': 265712378048422021, 'n': 83, 'trace_an': 27}
  • id: 72072360
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  • id: 72072361
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  • id: 72072362
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  • id: 72072363
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  • id: 72072364
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  • id: 72072365
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  • id: 72072366
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  • id: 72072367
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  • id: 72072368
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  • id: 72072369
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  • id: 72072370
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  • id: 72072371
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  • id: 72072372
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  • id: 72072373
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  • id: 72072374
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  • id: 72072375
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  • id: 72072376
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  • id: 72072377
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  • id: 72072378
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  • id: 72072379
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  • id: 72072380
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  • id: 72072381
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  • id: 72072382
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  • id: 72072383
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  • id: 72072384
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  • id: 72072385
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  • id: 72072386
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  • id: 72072387
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  • id: 72072388
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  • id: 72072389
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  • id: 72072390
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  • id: 72072391
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  • id: 72072392
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  • id: 72072393
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  • id: 72072394
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  • id: 72072395
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  • id: 72072396
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  • id: 72072397
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  • id: 72072398
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  • id: 72072399
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  • id: 72072400
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  • id: 72072401
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  • id: 72072402
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  • id: 72072403
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  • id: 72072404
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  • id: 72072405
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  • id: 72072406
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  • id: 72072407
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  • id: 72072408
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  • id: 72072409
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  • id: 72072410
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  • id: 72072411
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  • id: 72072412
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  • id: 72072413
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  • id: 72072414
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  • id: 72072415
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  • id: 72072416
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  • id: 72072417
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  • id: 72072418
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  • id: 72072419
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  • id: 72072420
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  • id: 72072421
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  • id: 72072422
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  • id: 72072423
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  • id: 72072424
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  • id: 72072425
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  • id: 72072426
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  • id: 72072427
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  • id: 72072428
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  • id: 72072429
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  • id: 72072430
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  • id: 72072431
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  • id: 72072432
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  • id: 72072433
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  • id: 72072434
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  • id: 72072435
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  • id: 72072436
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  • id: 72072437
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  • id: 72072438
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  • id: 72072439
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  • id: 72072440
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  • id: 72072441
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  • id: 72072442
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  • id: 72072443
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  • id: 72072444
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  • id: 72072445
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  • id: 72072446
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  • id: 72072447
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  • id: 72072448
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  • id: 72072449
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  • id: 72072450
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  • id: 72072451
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  • id: 72072452
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  • id: 72072453
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  • id: 72072454
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  • id: 72072455
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  • id: 72072456
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  • id: 72072457
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  • id: 72072458
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  • id: 72072459
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  • id: 72072460
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  • id: 72072461
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  • id: 72072462
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  • id: 72072463
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  • id: 72072464
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  • id: 72072465
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  • id: 72072466
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  • id: 72072467
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  • id: 72072468
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  • id: 72072469
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  • id: 72072470
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  • id: 72072471
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  • id: 72072472
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  • id: 72072473
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  • id: 72072474
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  • id: 72072475
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  • id: 72072476
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  • id: 72072477
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  • id: 72072478
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  • id: 72072479
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  • id: 72072480
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  • id: 72072481
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  • id: 72072482
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  • id: 72072483
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  • id: 72072484
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  • id: 72072485
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  • id: 72072486
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  • id: 72072487
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  • id: 72072488
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  • id: 72072489
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  • id: 72072490
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  • id: 72072491
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  • id: 72072492
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  • id: 72072493
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  • id: 72072494
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  • id: 72072495
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  • id: 72072496
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  • id: 72072497
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  • id: 72072498
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  • id: 72072499
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  • id: 72072500
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  • id: 72072501
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  • id: 72072502
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  • id: 72072503
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  • id: 72072504
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  • id: 72072505
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  • id: 72072506
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  • id: 72072507
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  • id: 72072508
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  • id: 72072509
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  • id: 72072510
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  • id: 72072511
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  • id: 72072512
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  • id: 72072513
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  • id: 72072514
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  • id: 72072515
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  • id: 72072516
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  • id: 72072517
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  • id: 72072518
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  • id: 72072519
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  • id: 72072520
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  • id: 72072521
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  • id: 72072522
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  • id: 72072523
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  • id: 72072524
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  • id: 72072525
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  • id: 72072526
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  • id: 72072527
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  • id: 72072528
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  • id: 72072529
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  • id: 72072530
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  • id: 72072531
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  • id: 72072532
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  • id: 72072533
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  • id: 72072534
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