Embedded newform data - 4275.2.a.bt.1.4

Formats: - HTML - YAML - JSON - 2026-06-24T21:36:41.887612

• 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': 17100, 'analytic_conductor': 34.136046864097366, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [19, 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': [4275, 1, [1901, 1027, 1351], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 16717036, 'field_disc_factorization': [[2, 2], [7, 2], [19, 1], [67, 2]], 'field_poly': [-19, 0, 26, 0, -10, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [-19, 0, 26, 0, -10, 0, 1]], [7, [16, -13, 0, 1]], [11, [-304, 0, 596, 0, -51, 0, 1]]], 'hecke_orbit': 46, 'hecke_orbit_code': 202661983265231027, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '4275.2.a.bt', 'level': 4275, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '4275.2.a.bs', 'nf_label': '6.6.16717036.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(1+\\beta _{2})q^{4}+(\\beta _{2}-\\beta _{4})q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4275.2.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1022519300366135391, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.065', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.198', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.825', 'prec': 17}, {'__RealLiteral__': 0, 'data': '160.730', 'prec': 24}, {'__RealLiteral__': 0, 'data': '89.611', 'prec': 20}, {'__RealLiteral__': 0, 'data': '7714.980', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.515', 'prec': 17}, 'traces': [6, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -6, 0, 0, 10, 0, 0, 0, 0, 0, 30, 0, 0, 2, 0, 0, -12, 0, 0, 40, 0, 0, 0, 0, 0, 4, 0, 0, -30, 0, 0, 10, 0, 0, 20, 0, 0, 0, 0, 0, 24, 0, 0, 2, 0, 0, 26, 0, 0, 34, 0, 0, 0, 0, 0, 22, 0, 0, -8, 0, 0, -6, 0, 0, -6, 0, 0, 0, 0, 0, 82, 0, 0, -44, 0, 0, 52, 0, 0, 16, 0, 0, 0, 0, 0, 10, 0, 0, -56, 0, 0, 40, 0, 0, 38, 0, 0, 0, 0, 0, 46, 0, 0, 36, 0, 0, -26, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, -12, 0, 0, -46, 0, 0, 0, 0, 0, 52, 0, 0, -8, 0, 0, 112, 0, 0, 16, 0, 0, 0, 0, 0, 48, 0, 0, -90, 0, 0, 50, 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-110, 0, 0, -108, 0, 0, -384, 0, 0, 0, 0, 0, 172, 0, 0, 460, 0, 0, -200, 0, 0, 132, 0, 0, 0, 0, 0, 88, 0, 0, -244, 0, 0, 308, 0, 0, 104, 0, 0, 0, 0, 0, 204, 0, 0, -144, 0, 0, 216, 0, 0, -36, 0, 0, 0, 0, 0, 60, 0, 0, -124, 0, 0, 350, 0, 0, 6, 0, 0, 0, 0, 0, 166, 0, 0, 110, 0, 0, -68, 0, 0, -52, 0, 0, 0, 0, 0, 108, 0, 0, -104, 0, 0, -476, 0, 0, -226, 0, 0, 0, 0, 0, 76, 0, 0, -248, 0, 0, -336, 0, 0, 38, 0, 0, 0, 0, 0, -68, 0, 0, 100, 0, 0, 208, 0, 0, 78, 0, 0, 0, 0, 0, -220, 0, 0, -148, 0, 0, 8, 0, 0, -144, 0, 0, 0, 0, 0, -286, 0, 0, 236, 0, 0, -144, 0, 0, 82, 0, 0, 0, 0, 0, 102, 0, 0, -232, 0, 0, 252, 0, 0, 42, 0, 0, 0, 0, 0, 94, 0, 0, 56, 0, 0, -180, 0, 0, 472, 0, 0, 0, 0, 0, -164, 0, 0, -112, 0, 0, 96, 0, 0, 312, 0, 0, 0, 0, 0, 316, 0, 0, -56, 0, 0, -66, 0, 0, -76, 0, 0, 0, 0, 0, -8, 0, 0, 362, 0, 0, -408, 0, 0, 484, 0, 0, 0, 0, 0, -332, 0, 0, -152, 0, 0, -412, 0, 0, -372, 0, 0, 0, 0, 0, -16, 0, 0, 316, 0, 0, -122, 0, 0, -384, 0, 0, 0, 0, 0, -144, 0, 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], [0.8004031201863487, 0.0], [0.0, 0.0], [-0.35935484519595734, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.553468783643542, 0.0], [-1.0880318595352754, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.7440388432603062, 0.0], [0.0, 0.0], [1.8812004720107454, 0.0], [-1.2434012615403829, 0.0], [0.0, 0.0], [-0.5115092500382321, 0.0], [-1.3130411319000692, 0.0], [0.0, 0.0], [-0.22941573387056177, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.3959341318717395, 0.0], [-1.6781666160797797, 0.0], [0.0, 0.0], [0.0, 0.0], [1.5057187274934327, 0.0], [0.0, 0.0], [0.5582465342629771, 0.0], [0.9918546434990758, 0.0], [0.0, 0.0], [0.0587897203312386, 0.0], [0.6786182598004951, 0.0], [0.0, 0.0], [-1.0509622189058305, 0.0], [0.0, 0.0], [0.0, 0.0], [1.772675607103333, 0.0], [-0.18362506920983865, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4227473243417083, 0.0], [0.0, 0.0], [0.0998338935387445, 0.0], [0.6267288085355439, 0.0], [0.0, 0.0], [-1.343209795702822, 0.0], [1.1199060660118405, 0.0], [0.0, 0.0], [1.4132652617549453, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6760185044019833, 0.0], [0.11174789125490198, 0.0], [0.0, 0.0], [0.0, 0.0], [1.690223529397685, 0.0], [0.0, 0.0], [0.793883551427979, 0.0], [0.6471411554777675, 0.0], [0.0, 0.0], [-1.0082697850057536, 0.0], [0.0470554755880062, 0.0], [0.0, 0.0], [1.0546774225979787, 0.0], [0.0, 0.0], [0.0, 0.0], [1.1929536774639338, 0.0], [0.47184769268987403, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.5899237099360296, 0.0], [0.0, 0.0], [-1.4964545950224257, 0.0], [1.4188550870037377, 0.0], [0.0, 0.0], [0.08244165553057267, 0.0], [2.709309900466678, 0.0], [0.0, 0.0], [-0.11453598142877032, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3383682774535337, 0.0], [0.1379252326742503, 0.0], [0.0, 0.0], [0.0, 0.0], [0.07990735988876285, 0.0], [0.0, 0.0], [1.8975698257342617, 0.0], [1.218588229850872, 0.0], [0.0, 0.0], [-2.9223862090441894, 0.0], [0.6030573045343728, 0.0], [0.0, 0.0], [0.8963763095514962, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6886854189350617, 0.0], [1.1311819251596351, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.18447005673295797, None, None, -0.39156262281525817, -0.4185949003099817, -0.05513165628300592, -0.36398624478605895, None, -0.40845401510827095, -0.16741411781063706, -0.2453209887154078, -0.07662054413306998, -0.2838968458519854, -0.24205216824029088, -0.15540958409869995, -0.24110275187867278, -0.19755834347857731, -0.3340942817361356, -0.14828337682965945, -0.29765347234286804, -0.38454737050587684, -0.2591194731815456, -0.2390155402337363, -0.14572644343979346, -0.19405089588618468, -0.3200496646590554, -0.204167772151169, -0.3485921230562516, -0.23041828686609706, -0.13209860629489925, -0.23328070860506986, -0.142182623038345, -0.4530047786829937, -0.2917171833981805, -0.39453490658236123, -0.3787778206326244, -0.17868612945694842, -0.22565947388394755, -0.15211622643139805, -0.23971009400794888, -0.2570449233077964, -0.20887973409921334, -0.22967401064489415, -0.14269771921800012, -0.26789669853640796, -0.23933085617826425, -0.23343638972402345, -0.16069546421026493, -0.11427016577964827, -0.3056224654325009, -0.15208472319917965, -0.269329494451631, -0.310550780429943, -0.21433675934091106, -0.1334418425689923, -0.2785360708485882, -0.18410916266009814, -0.3643726796648233, -0.1781095955012986, -0.24031744390830034, -0.23327334610286166, -0.28423418042393606, -0.3514764535764042, -0.3445270858253559, -0.23048689867115263, -0.3800498805983589, -0.2789557375109395, -0.3050164253952026, -0.3031218572296708, -0.19948588917600152, -0.07177380147716178, -0.3021926146745556, -0.31166499808680065, -0.19194309678105198, -0.3550710599767167, -0.17318307325899138, -0.290983582170822, -0.28530597160921384, -0.44553817794085054, -0.18564176707428792, -0.26956333379236214, -0.2888100766405411, -0.2696593847386609, -0.1976743887456455, -0.2164521916745958, -0.05774189088142326, -0.14619246676486822, -0.11889680375016037, -0.20182156119111228, -0.16815874231659375, -0.2540936136223003, -0.2624339713515865, -0.18963218349705752, -0.23778065706107365, -0.10552454260243914, -0.18344605170050965, -0.2652263501507662, -0.46537872186815504, -0.2847519026435428, -0.3924589257970844], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': 1.1319409479332767, 'hecke_orbit': 46, 'hecke_orbit_code': 202661983265231027, 'label': '4275.2.a.bt.1.4', 'level': 4275, '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': [12, 16, 18, 10, 21, 19, 21, 25], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [55, 62, 56, 60, 57, 47, 49, 49], 'Nk2': 17100, 'analytic_conductor': 34.136046864097366, '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': [4275, 1, [1901, 1027, 1351], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 577, 'dim': 142, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33558707, 'hecke_orbit_dims': [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, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 6, 6, 6, 6, 6, 7, 7, 12], 'label': '4275.2.a', 'level': 4275, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5, 19], 'level_radical': 285, 'mf_dim': 624, 'mf_new_dim': 142, 'num_forms': 50, 'plus_dim': 62, 'prim_orbit_index': 1, 'relative_dim': 142, 'sturm_bound': 1200, 'trace_bound': 13, 'trace_display': [1, 0, 0, 5], 'traces': [142, 1, 0, 143, 0, 0, 5, -3, 0, 0, 13, 0, -2, -12, 0, 145, -11, 0, -2, 0, 0, 4, -8, 0, 0, 6, 0, 18, 32, 0, 0, 5, 0, 18, 0, 0, -12, -3, 0, 0, 0, 0, 13, 66, 0, 36, -1, 0, 145, 0, 0, 14, 26, 0, 0, 8, 0, 10, -18, 0, -9, 8, 0, 185, 0, 0, 12, -52, 0, 0, -42, 0, 1, 62, 0, -5, -41, 0, 8, 0, 0, 38, 16, 0, 0, 4, 0, -32, -2, 0, -16, 40, 0, -32, 0, 0, -6, 5, 0, 0, 28, 0, -34, 18, 0, 6, 34, 0, 38, 0, 0, 88, 20, 0, 0, 142, 0, 20, -11, 0, 213, 26, 0, -76, 0, 0, 46, -59, 0, 0, 3, 0, 1, 8, 0, 106, 29, 0, 9, 0, 0, 48, 36, 0, 0, -102, 0, -34, 57, 0, -74, -3, 0, -20, 0, 0, 36, 40, 0, 0, 0, 0, 28, -134, 0, -108, 2, 0, 170, 0, 0, 78, -24, 0, 0, 228, 0, -66, 38, 0, 56, 64, 0, 136, 0, 0, -15, 90, 0, 0, 69, 0, 14, 26, 0, 245, -56, 0, -35, 0, 0, 42, 14, 0, 0, -36, 0, -22, 25, 0, 126, 86, 0, -140, 0, 0, 44, -74, 0, 0, -56, 0, 34, 132, 0, 166, 0, 0, -71, 0, 0, 18, -81, 0, 0, 8, 0, -88, -19, 0, -28, 137, 0, -92, 0, 0, 2, -16, 0, 0, 75, 0, -20, -8, 0, -35, -74, 0, 62, 0, 0, 52, -29, 0, 0, 24, 0, 16, -106, 0, -92, -130, 0, -222, 0, 0, -3, 80, 0, 0, -12, 0, -71, -152, 0, -100, 38, 0, 221, 0, 0, 60, -18, 0, 0, 74, 0, -166, -40, 0, -85, -40, 0, -35, 0, 0, -36, -262, 0, 0, -177, 0, 16, 6, 0, 4, -68, 0, -38, 0, 0, 40, -15, 0, 0, -68, 0, 86, 17, 0, -124, 92, 0, -136, 0, 0, -138, 103, 0, 0, -120, 0, -5, 216, 0, 42, 99, 0, -115, 0, 0, 204, -116, 0, 0, 154, 0, -116, 177, 0, 142, -106, 0, 200, 0, 0, 12, 200, 0, 0, -72, 0, -86, 144, 0, -92, 36, 0, -14, 0, 0, 88, 4, 0, 0, 126, 0, -138, -53, 0, -4, 53, 0, 186, 0, 0, -43, 116, 0, 0, 230, 0, 184, -26, 0, 60, -110, 0, 182, 0, 0, -40, -82, 0, 0, 26, 0, 28, -44, 0, -122, 132, 0, -70, 0, 0, -45, 244, 0, 0, 60, 0, -4, -240, 0, 190, -16, 0, 18, 0, 0, -44, 163, 0, 0, 88, 0, 172, -34, 0, -42, -70, 0, -132, 0, 0, 23, -70, 0, 0, 9, 0, 15, 246, 0, 286, 67, 0, -192, 0, 0, -180, 71, 0, 0, 10, 0, 48, 72, 0, 284, -190, 0, 81, 0, 0, 10, -62, 0, 0, -64, 0, -122, -6, 0, -148, 154, 0, 107, 0, 0, -172, -84, 0, 0, -320, 0, 148, -202, 0, -35, -87, 0, -74, 0, 0, -115, -176, 0, 0, 106, 0, -90, -138, 0, 48, 88, 0, 198, 0, 0, -30, 20, 0, 0, 148, 0, -134, 62, 0, -125, -272, 0, -58, 0, 0, -40, -20, 0, 0, 28, 0, 128, 50, 0, -270, -143, 0, 24, 0, 0, -130, 226, 0, 0, -368, 0, -40, 86, 0, -84, -100, 0, -232, 0, 0, -5, -129, 0, 0, -172, 0, 224, -230, 0, -418, -157, 0, -12, 0, 0, -114, -208, 0, 0, -148, 0, 136, -188, 0, -168, 12, 0, -92, 0, 0, -12, -39, 0, 0, -152, 0, 157, 36, 0, -304, 177, 0, 372, 0, 0, 80, 8, 0, 0, -78, 0, -30, 34, 0, 113, -48, 0, -154, 0, 0, 50, -192, 0, 0, 278, 0, 33, -68, 0, 14, -207, 0, 90, 0, 0, 8, 197, 0, 0, -498, 0, -200, -178, 0, 270, 244, 0, -296, 0, 0, -64, -140, 0, 0, -85, 0, 112, -94, 0, 53, 28, 0, 204, 0, 0, -24, 100, 0, 0, 120, 0, 244, 216, 0, 191, 54, 0, -696, 0, 0, -134, -182, 0, 0, -44, 0, 40, 200, 0, -362, 126, 0, 148, 0, 0, -226, 256, 0, 0, 148, 0, -136, -127, 0, -222, 1, 0, -210, 0, 0, -37, 304, 0, 0, 121, 0, 88, 0, 0, -92, 96, 0, 137, 0, 0, -8, -88, 0, 0, -138, 0, -42, 102, 0, 180, 188, 0, -204, 0, 0, 43, 68, 0, 0, 309, 0, 88, -234, 0, -340, -128, 0, -173, 0, 0, -98, -40, 0, 0, -122, 0, -278, 20, 0, 62, 160, 0, -183, 0, 0, 128, -206, 0, 0, -302, 0, 92, -142, 0, -214, -42, 0, -265, 0, 0, -202, -103, 0, 0, 284, 0, -154, -25, 0, 104, 252, 0, 152, 0, 0, 41, -62, 0, 0, 269, 0, 37, 76, 0, -208, -72, 0, 402, 0, 0, 98, 60, 0, 0, 118, 0, 36, -302, 0, 30, -170, 0, 220, 0, 0, 14, 402, 0, 0, 20, 0, 16, -540, 0, -228, 160, 0, -15, 0, 0, 200, 42, 0, 0, -154, 0, 216, 172, 0, 80, -138, 0, 44, 0, 0, 12, -472, 0, 0, -59, 0, 313, 212, 0, 132, -58, 0, -182, 0, 0, -132, -21, 0, 0, 488, 0, 142, -128, 0, 216, -48, 0, 30, 0, 0, -112, 56, 0, 0, -518, 0, -64, 346, 0, -288, 45, 0, -100, 0, 0, -30, -152, 0, 0, -168, 0, 138, 12, 0, 1, -184, 0, -188, 0, 0, 105, 312, 0, 0, -204, 0, -8, 12, 0, -252, 8, 0, 68, 0, 0, -168, -146, 0, 0, -550, 0, -40, 213, 0, -198, -20, 0, -98, 0, 0, 316, 433, 0, 0, 168, 0, 47, -304, 0, 238, -90, 0, -200, 0, 0, 292, -144, 0, 0, -8, 0, -22, 348, 0, -394, 232, 0, 28, 0, 0, -7, 640, 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: 48997389
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 4, 'source_hecke_orbit_code': 202661983265231027, 'source_is_minimal': True, 'source_label': '4275.2.a.bt.1.4', 'source_level': 4275, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 202661983265231027, 'target_is_minimal': True, 'target_label': '4275.2.a.bt.1.4', 'target_level': 4275, 'twist_class_label': '4275.2.a.bs.1.3', 'twist_class_level': 4275, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48997390
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 4, 'source_hecke_orbit_code': 202661983265231027, 'source_is_minimal': True, 'source_label': '4275.2.a.bt.1.4', 'source_level': 4275, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 202661983265231027, 'target_is_minimal': True, 'target_label': '4275.2.a.bt.1.3', 'target_level': 4275, 'twist_class_label': '4275.2.a.bs.1.3', 'twist_class_level': 4275, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48997391
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 4, 'source_hecke_orbit_code': 202661983265231027, 'source_is_minimal': True, 'source_label': '4275.2.a.bt.1.4', 'source_level': 4275, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 198158383637860531, 'target_is_minimal': True, 'target_label': '4275.2.a.bs.1.3', 'target_level': 4275, 'twist_class_label': '4275.2.a.bs.1.3', 'twist_class_level': 4275, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48997392
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 4, 'source_hecke_orbit_code': 202661983265231027, 'source_is_minimal': True, 'source_label': '4275.2.a.bt.1.4', 'source_level': 4275, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 198158383637860531, 'target_is_minimal': True, 'target_label': '4275.2.a.bs.1.4', 'target_level': 4275, 'twist_class_label': '4275.2.a.bs.1.3', 'twist_class_level': 4275, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3551800
    {'charpoly_factorization': [[[-19, 0, 26, 0, -10, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 2}
  • id: 3551801
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 202661983265231027, 'p': 3}
  • id: 3551802
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 202661983265231027, 'p': 5}
  • id: 3551803
    {'charpoly_factorization': [[[16, -13, 0, 1], 2]], 'hecke_orbit_code': 202661983265231027, 'p': 7}
  • id: 3551804
    {'charpoly_factorization': [[[-304, 0, 596, 0, -51, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 11}
  • id: 3551805
    {'charpoly_factorization': [[[56, 0, -8, 1], 2]], 'hecke_orbit_code': 202661983265231027, 'p': 13}
  • id: 3551806
    {'charpoly_factorization': [[[-19456, 0, 2384, 0, -88, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 17}
  • id: 3551807
    {'charpoly_factorization': [[[1, 1], 6]], 'hecke_orbit_code': 202661983265231027, 'p': 19}
  • id: 3551808
    {'charpoly_factorization': [[[-304, 0, 408, 0, -71, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 23}
  • id: 3551809
    {'charpoly_factorization': [[[-931, 0, 959, 0, -61, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 29}
  • id: 3551810
    {'charpoly_factorization': [[[4, -12, -1, 1], 2]], 'hecke_orbit_code': 202661983265231027, 'p': 31}
  • id: 3551811
    {'charpoly_factorization': [[[-136, 112, -20, 1], 2]], 'hecke_orbit_code': 202661983265231027, 'p': 37}
  • id: 3551812
    {'charpoly_factorization': [[[-304, 0, 149, 0, -22, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 41}
  • id: 3551813
    {'charpoly_factorization': [[[32, -48, -2, 1], 2]], 'hecke_orbit_code': 202661983265231027, 'p': 43}
  • id: 3551814
    {'charpoly_factorization': [[[-59584, 0, 6496, 0, -152, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 47}
  • id: 3551815
    {'charpoly_factorization': [[[-19, 0, 111, 0, -125, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 53}
  • id: 3551816
    {'charpoly_factorization': [[[-76, 0, 1221, 0, -74, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 59}
  • id: 3551817
    {'charpoly_factorization': [[[-371, -117, -1, 1], 2]], 'hecke_orbit_code': 202661983265231027, 'p': 61}
  • id: 3551818
    {'charpoly_factorization': [[[436, 26, -17, 1], 2]], 'hecke_orbit_code': 202661983265231027, 'p': 67}
  • id: 3551819
    {'charpoly_factorization': [[[-76, 0, 1221, 0, -74, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 71}
  • id: 3551820
    {'charpoly_factorization': [[[1523, -185, -11, 1], 2]], 'hecke_orbit_code': 202661983265231027, 'p': 73}
  • id: 3551821
    {'charpoly_factorization': [[[-112, -108, 3, 1], 2]], 'hecke_orbit_code': 202661983265231027, 'p': 79}
  • id: 3551822
    {'charpoly_factorization': [[[-14896, 0, 9828, 0, -251, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 83}
  • id: 3551823
    {'charpoly_factorization': [[[-2643451, 0, 58175, 0, -421, 0, 1], 1]], 'hecke_orbit_code': 202661983265231027, 'p': 89}
  • id: 3551824
    {'charpoly_factorization': [[[56, 0, -8, 1], 2]], 'hecke_orbit_code': 202661983265231027, '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': 46, 'label': '4275.2.a.bt', 'level': 4275, 'portrait': 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SsZjj18LRDWsH7asG4qYakb0B0KRrHH8kCwacqw2DEcP6eoeT6bZmHb+pCNcyM2zI3ZNDdm20bLjk2Ky7d71FWTI8fbPPCMz2P7Y546FpGoHt/1yg5vv8lSV3PsPzbNkdOaU+cTzqbgPrhguf7KeX753ctsXzfF6fPTnF+usdjxWOpIVnoJvUHCYCw4eHSBPce7lz+59/Srjp48c8GxU+e+euPr3h7ee+tfvdCQ+Bvd/l4z+PJKh9HIojXvu+vRAzf94gc+Lr/vNSdu+t+/55Q+v7iZhZUpljoNFjs+ix3NYgeWOglLnYjFlYSzK3BoUbB+3Qr/6QcXeeklDU6cm+X0+SanFzTnFi1nF2JOziec78VMz454xdV9XnYZ+LJOoALOLdU4s6A5uyQYjCGODTXf0KwlzEzFGODY2ZhuH3Zu9GjWx1grQPj0h4Ydm8YsrmiwToqs9GEcg8Wy1AnZusGjN1QIZRFmTLvmsWPziJWB4NhpTWI0c21JqyYIPIhjwWAsObskObNoObccEwQj8GJuvKLPTVcK1rfrLC63OXEu4PQCnFuIObcUc2oJDi1aXnLFAr/yg8tsmm5z/OwsZxfrzC/7LHQkSysJy92I5W7CUs+y0BMc78DK4jK//bPj+J+/Rd4npn7GqNrV90lhfiE2HrV6+4WGyvPe/t4y+J987NPceMN1/Nx7f/ZXP/FXt//vv//x2y967njvgoOnBvKmK4fs3mxIjMZahbWOvbESkIBACIsWFl/C6cU6Dx2UXL17icu2j2jUwNMS31P4vqZZlzQ8yaDvse9ojdse8zl2fkw3jth3YszGuSXe8oplrr6ox0su63B0IWZhIGgEIw6ftnS6Ta66ULIySthzVNFqaJ49BhdvsYzChFHio3XETAv2nghQOsGTMdqD4Vjy0ssGDAeSqy9K6A4Tjp1usWuTotkIWRlbNkwPWO53+eTt8MSRhKeOjNi5ZZFrLu0yMxvy5ht7fM+rLbs3tUiiaY6cmuLQSY8TZw0nz0ecPJ9w6Lzg+ErEiy6Z5z/9YI+N09OcODvLucUG8ys+ix3Jcieh04tY6Scs9y1LfTg3UCz3Im64fJH3vG1e1pS44Ozpk7u6fXNDrbmr3mjNfP2h+z7HBz/0Zy80ZNa8/b1k8I987NNs2bpZHTl4+P88cercLz3+9FF1fD5kfqg5M0i4eud5PvBT57l2d5NzizMsdhosdWosdTyWuprlHix3Epa7MUu9mIUOnFgW6PqIl1+5xPe+OmTXhiYr/Tbnl+rML/ksdARLHScRlnuG7tDQHVsGo5i5dsSOjQYQBJ7l5HkPIQN2blDs2mLZsmHAueUxTx5o8eKLLY36Ms8cnKXVDAlDj7kZw3AEl+8Y8fHbp7l0e8x4bFk3JYmSIa1awLNHR9S9JtdeEvPU4ZBziz5b5wJ2bYYdm0KUiji5AL5nEcKyc2PMTEvSGwb0Bx7dgcdSV7G0Aosdw1InYaGTcLYDi6OEHVv7fO9rFnj5ZZqa1+bMQpuF5RoLK5qlrmC5Y1jpRSz3Elb6lsU+nO0pzq3EvPTSs7z/Xyxw8dYmiyttljp1lnoz6NrupDm18Vc3bt75K8uLZ5OX3vS2Fxo6q25/rwC+f99+arVa/dTpkzseePjpdx09dvq/HD56iiiRdIewNBCcHyhO9yJecuE5fuOnlrjmwjrnl2dYXGmw3K2x1PVY7mqWu9DpGVZ6Mcu9mKWu5VxHcLpvQfR5+ys7vPmlhgs31wjDBsudGit9n05PsdwX9AaC0dgSxpYkASUtgQf1wDLdtmyYjdDeiENnQp4+GGDiJm+6IUR7Kzy6Z4oLNsNXHop55VUB5ztDaloRJxGzMxBHHtqLWVxs8Irrunzl/ha7NsMjB8Z4NHjjSw2xGPL0oYQjJ2to6bNxRjPTFNQDge8LlIDYQBhZRiH0BpaVvqE3MKwMDIt9yzBJ2LltwJtf1uHtN4VgWiyuTHF+qe70dlez3IGVXkKnH7OSgntpAGe6ivluwksuOcf7f+o8V+yss7A8zXKvwUovoNPz6Q0sremt1Jub//3sxsv+YuvWrcfH49Hw4osvfaGhlN/+3gD81IkDbNiw3t+/7+AP79138Pfuf+hxsbDUk2HkSkj7I0N3CCtDyfmh5Ewv4qUXnefXf3yR6y6qsbAyzeJKk+VuwErPZ7mnWekJOj1Lp5+w0ovp9A3Lfcv5nuBMxzAzPeA7XtLjxstidm5UtOse3V6NwJOAIowlxgiMhcEIEIaZ1ogDpyzGhtz6SJPxoM5FW31efvWAyKxw12PTXHuxx4GzfTrLbV529YCvPxqwcday55jlf3tblz1HAzbOSm57TPHyyxVLgy6HT8xy7SUhdz09JB43uPEKn93bRwzjPl97VEEiOHRS025otIDBUGKsIDGWKAakQfuGTt/SbEVs3zzmpssHfMeLY+aaNc4tTbG4Ume5647NclfQ6UOnF9Ppx3T6CZ2BZWkgOdsTLPRibrh0nl/98Xmu2VVjfmWKlV6Dbj+g0/fpDzWDkWQwhiipmx0XXGV3XLD7Pbsu3P2RxcX58MrLL3uhIQX8PQF4HMUyDAdveerRr1zUH8Tvf/ChR71OXzAcWYbjmOHY0B8a+mNLbyjoDAXnh5LTnZgbLz/P+358nhfv9lnpTjG/3KLTr7HS81npazo9RWcAvb6lO4jp9hP6Q0NnYJnvC+b7ECVjrrl4yKbZhP7A8p0vG3PBJkOcSLS0hBHc+WSN4+drbJ6JeeZQDUyDy7YprrvUENQGPHpgwPxCkysvaNKeXub+pzyuv7jG4mCF5eU2mzZZHtqj+Gev7fPwHs22DR4L/Q7LS7Ncd/mA+59JmK1Pc+VFfc53Ojz03DR13eQll1ou2TEC2efJI4INsxHn5iPuetJjFCmkhMRYLtgc8h0vC+n1FVtmDNddDGHYYKnTYKkTsNL36A4Unb6k24fuIKHbd25Jd2BYGViWhpJTXUFnOObll8zzKz+2zEsudhdHp1enOwjoDTy6A01/pBgMJf2RoNtPWO6GvOjal0QW/XPf/863Hmw161/0fM+80Nh6wTOZw+GQ8Xj4g0cOPPaBM6cOzC4uLtGoSYyVCGHTSzAGQAhnAQphkdIipebh/Rv5hQ9p3vbyJb7vtUvs2hpydrFN4NepBz6NwKNZ1/TqktbQY6qpGYwS+sOEjWPDcGzpjQKW5mucPGEJY8OpszFBYAGBryxaCgZDhcAjHmhedIFg9xbLjq0DxkmPWx5W7D04wxteHHDd5ct89BaLLxpcsHXAU/crtk4r1rUH1FSdMPI434NmTbNto+CJvSHXXVLn1dcu8MdfGuJ7LV5/g8ULBnzjoZCvPNjkuSN1LtzS4ILNCetnQnati7jqggSlDFpZwNIIAtZPB4SRR2/g88wBj/5IMxgq+iNJfwj9kaU/cN+9N0zoDy3doWVlCPMDxbllS2Oqw8+8aZ5/8vIx11zY5MxCm06/Ri8Fd2+o6Kf/5mAkGIws49ASJ4K773nEm5mb+8B9Dzy89MpXvPTfDgaDP240Gv/rAjwcD0DwY8cOPvi+PU/fPjscdFBSE/iKxOCcERRCgBBJ+ug6aZS0KJngS8lTB9bz+P4mB06f52039bnpihHTrTZLnQbNbo320Kc/0O7kjCTDkWYw1ozGllFoCCNLFFnixN3D2McakErgaUHNF0y3BDMt2LTOsG3jgHUzHb76KNz9uIc0U7zhxR4vuqzHvc9FhKM2L3+RoDMccn6xyY2XGNZND6jrgFGsmO9GKCN40SWaRmvMY/tqvOq6KV52TY/H9imwU7z4Cp8f/a4lvv5EyG0PN9lzvMaO9YpNs3VmWg2mWlAPwNMWJcFY2HNEkCSCKBaEMYwj3HccJwzHhtHYMBgZBmNDfwjdMcz3Jed7MDYjXnftEm+5qcM/fb0hjtucXWjS7dfoDX36Q4/+UNEbqhTYboUdjA3DcUIUu2N34sQZPvVXX50djpP/681veJXu9QcfajVfOJC/YACPxotIFf/oueN3ve/c0Ts2BKqPaniEkcVag6uhyiw/hRACKUnBDUpZtLJ4ylD3BAuDOp+4fRvfeLzLK69a4d2vW+GqXX3mphssrjToDQMGQy8FtnL3UDCOJFEsiGO31Lu/64JKraHmQ6NumG1FbN0wIKbPgVMRn7yrxuETTaaDOtdfobnx6i4P7e9w6wNtbri4xo7NAz5+u0CJgHYrYqU/xlhQAta3B3R7Piau85ZXnucTX2mw+1yNN98wIIwWuevpOaKkxkuv2MCbr+9y8fYO33hswFMnGjx5xGfbrGS2LWgEAt9zF6FML35jwRibAy6MLOPIXcijEIYh9EaC5bFgqQdCj7j20hXe/R0rvPKKhLl2neVug06vTm8Q0B95Tm9nrD2WDEcwyC6cUcJobBiHLhZIrObY6RX++BO3blju2/e97bteaU+fW/mjLRun/9cA+Nv+1R/xmd9a4MyRP/2hugrfP1rcv67ujaBdZzQSKOmsecfWIIRI7xIlNVImKCXS5dngKUugLXUtWB4pFjszfOrOJg8+0+fl16zw7tevcO3uDnNJnTgOGIxq9Icew7EmjBRRLIkTSWIExgqXBRWWwDc0ajGBH+J7Y04tjvnSI5KDJ32OnJxBmYDdm30u36V48WVdVDDP04dabJ1ucOWFsGn9MkvdNldtlcTG8tWHA8YDyXQz5o0vHfHFuyKOn21x6UUeZ1ZGPHvYY/vGGa7ZNc+9T/W4/1nBOPS5bNcsl20PuGxbj0Nnljh4Ch7e2+DA4SYNLQi0pBlYah5I6RSdte5ijRMIYwgTQX8s6I4E3QhCE2PsiJdc3OXd39HllVclbJ4NGI2mWOzU6PUD+iOfwTDV2iPFcCwYjiTDsQv6R+OEUZiuDKFlHLrHUQSjUHHqRJff+tgdGx7ad+L9F24mfst7PvHRL7zvIGL6F//hAnz5xPuY2X4p767t+acBz/72j73+yenLt9cIm1MoJVGpthbSIqVCCpBSIKVEKYFWKn00aJXgaYGvDb5nCTxLw0+Yrgl6Y4/l7gyfvrvN7U+O2Dgz4F2v6XDZ9hGjYZ8rd1m2b1KMI48kKdL8AouUBk8nHDtnOXJWsDI0fP7eBqcWZrChx0xNsWVOs3OT5sKtcOXuLkYu8MEvNllamuKGyzRX7u7wjScFIvbYMCNpNmIGkY+0EqxEaZ/OSHBuSXCFbfCaF/e477E6W9b53HDlLD/yXQt85Cs9Ht7XpD/yWFxpsWtLnUs3D3jpJT2++1U9Ti8t8fl7AxYHAcfOeJw65eMpd6wEAmMtiYHIWJLYMDMXcfUVA8bjiMu2j3nHa8ZsmFLMtgKiqMaZ+RqDoc9g7Fa5YQ5s6cA9FozGuJVgnDAKDeNxkoLa6fBhCMNIMBgLurHm9NEVavJr6979b5u//S+/Z3fE1Ff/7P943+/xG7/wnn9YAE9rtpU1ZoPt/OdXf+qrJ//wiT0HGpftHONrSaM2Ahz7CGGQ0kvBDlJKpAQlJVoJtEoftcDTCb4W+J6h5lnqkaURWqZqCTN1wSCU9MImR042+fU/mwUTI+KYF189YNemkDgGYw3WuiSOFAKpBNrz2XfcZ8/BGs2apuVL1jUE6+ckG2Y1W9Yrdm5OuHTnColY5Hc+0+bY8WluuMTjsgsShnGPB54OmK57zE1ZplshjbqTQsZIOiPFUt+y2Eno9Ou84soVHtkzYO9xxXS7xkuvmObH37LI734WHjvYpD+0rPQ055babFrXYMPMiJ1zI372nQPajQ5PHYF9JySeZ1HKIoQBrPufhTiGCzYlvPyqmCTyiOIAaxuMQo+zCz7DsVvRRqHK5dswFIzGglHoWHscuqzseGwcW0cmfc8BfBTCKBIMQkE3FCyFgtgk7D+W8JW79k/f/oj/h8+c/N74H//wj3/qZ2zb/vdf/MF/OADfc2QRqZpbxoMjjyXLZ9rR6Lng6Kk6h86EXHvRiGacyRKLlD5KWZT00keFUirV2xJPO83pe4qxJxmHhiBMGEeWemQYR4YwtLRjGEeGcQxhLBhFknESECU19h5s8uReSKzFpBeWEuBJ8JWr+WgFcOVmaNdhqimZaSnmpjUbZmHHpjGb168Q2SV+5zNTHDo8xXUXKi7cJtm9bZk7no05tzjFi3dJZtqGmj8kkAFWCeJEIqwlTkKW+zXOLXpcd1mdF13S497HamycETRqLa67xPAzb1/ktz9rePZUi5W+YaWnmF/WrJtuMtOuM9Oeot2IWN+M2HldSODFeDpGqQQpXDBhcRdVFCnOz2uiWBHFijBSjKP0MZSMI8k4lIxCyTgULkANBeNUfowjwzhMCMNU00eZLHHAHkUwiBy4l0NJL4wgHHDJBSMu2Wm55RsHGsFs66Nbl3/b/M4v1D/zOz/9fydi9n//9gf4e3/9k3zuy/eq/aeWX/HsoSPtYXc+GA+38ux+wVJP8ys/2eGKrQOkyKSJRSmT3j2UtHjK4mmFpy1eKPE94U6CJxj7ijByQI8iSxgnzhWJS/cE4sSSJIbE4PS2IQe3EKAkaAmeB4EW1AJBI5A0G4qphmRmSrBhNmbnpgGt5gqfuS/krqdnWVloc/UOxc7NHhdvH5GIFb76cIOmp1k/o2g1Rjx9CJ47rLlqu2UwVlxzccTVuy1nzyTML/sMRw3edH2Pe54acuCUolmXBH6bqy40/MoPLXLns0O+eOc6FruWnRsSljua6bZiqunRang065ZaYAh8Q6ATtHJSS6atldbiElZGEBtJnAjiWBDFkjAWRJFkHDnnJYwEYWQJQxhHCWFkCEvEMY7KdwfuYQbuSLISwXAcIqM+L9q1zC/9yDL/5DVjXnwxLC3fX7t629V/unL8sn8+jLf95bnDH0o2Xvhj394A39iM5XC49H3nTp3+n08/dyYYRVuJTAKtkC/c6xOONe+4ucc7X9dnph3TkwlaBqnOdnrY0xov0gRaMfIc04w9SegLwki4kxMpohjCSDoHIS5svzgxJIlzFxKbOiWpW5K5M0o62eNrQeBLaoGkWRe0G5bplmHj7Jj1Mz1iu8Kn7pF85CtzbKjVuHqHYMdmjwu2GHZuXuYzD1iWlmpctkkx04ZWI+LcUcn55QB/F4wjwfopyfQ0HDhiWe4azi7UuPiCGq99cY8v3V1jrgWB76PkNFftFvzEm8/jyfN84d4ZnjtVY2M3YsN0zFRT0aorGnVJPdAEPgQeaO0cJilAihLIcRd2YiBJBHFCCnSIEksYQxQ5yy+KDGH2GJnUdsxcmdSCjAXDSNCPBN1Y0Ast4ThkKujyrjct8q6b+3zHdYbuSosLN3psX+fTXTpdi+TcH8ZiRlsaf47jmW9PgH/0458lScwP3ffws79x6tiJ9vYpTSeCbqQZJJpYenz1YY8Hnq1zZnmR/+27h8y2Y0ZBne6ghlY+nvbwtIcfJoSexg+dNAkjl0p3jCMcE6WsFMcQJZAkzkkwxgVcxtgsHkjB7QDuAleBpx1AagE0aoZWPWa6FbN+esi6mRXu2xvyp7fW2XdkmgumPHZvgm2bfLZthEt3dBnEXR7a06auPNbPKKZbMN0aMzMV4/saIdzFNRz7LHUjVgaWTj/m/LLPjk0tXnbZeW59eMC+U20aQYSnfISYYvdWxQ+8foGXXHqeP721xUPPTLPY12xox0w3Yho1Sb2mCDxB4Ek8z8UqSpHahw7lFhcPGUMO9Dgx6eqWWouxIU4cuOMIwtgW98i5MqPYkcogA3YMo1GMiUbMNbr89Pcs8bPf36dR8+j2WozCgCjyGEc+w5FPt3+2jd/8nZn1V/pPP/aFj1z94n/87QfwbreDlPLHPvrxz7zv1KlTc62acPJDQiChFwl6wmekFCtjj9/4C489h5Z5y6v6vObaHhvXhfS6dYbjAN+LCXyPcagJfGfvZQCPIkkYu2U3ilNPOyG1/kiZW2IsBbhdkjJlbtDKJUx8z1LzDfVaTKsWM9Mes3ldl3OdAb/3eY+vPjLL0nKTi9YLdmwQbN3gs22DYNeWEdpf4RN3aQ6faHLJRslMSzLVTJByzKl5S6AlUrjkVRhpdm7o8jAJ3YFiuWs5t1Tnkm01vvs1Hf7yGz5HzwV4OkIID2ObRLHkxbuW2fn9Xb762ICPf3WWR4822TojWNdMaNYSar4g8AS+52IVrXCBsxR5TYbFXWTG4pyWxAE+A3mcOEnnwA5h4vztMEsexYJhDL1Y0othGBqSwZht67q8+roV3vqqAd95vUGLBsvLNcLYJww9xpHHOPQYjn2Goaa3fHZOBhe+/9ob/onq9XofarVa3z4AX17uIKX3I1+//e73Pf30cxs8BYEvsNYiAIlLf/tS0I8lfVmjE2o+cUeNO5/qcd1lXb7/9QPefEOHuemA4ShgOPYJPI8w9ggjnQdKcayIEkkcS6JEEMeSJBEkRhRa2whyVWIdc0vhkkUqTRb5niHwE+pBTKs+Zt10n2E05BtPWz55xxQPPTPNjO9x1VbL5lnJxjmfLesl2zaGXLh1maeODvn8PeuZUpr1U4J2U9BuRHQGCV95oEbLtwjhgDUca97y8jFfftDVxHT6hvPLmm0bWrztpj4P7e2x54BPM4hRUjiQmwaj0Gn9H3hth0s2n+cTd3a5/7lpji/X2dQWTNUsDd9Q0wbfA60ESpImyNz3zsqPTCrVjClWuDgFuiMIiBJBlKTATgSjWDCIBf0EF/OEIc36gLe9YYnve32XF1+SsHFWMxw26fZ9wsgnjNz5GoeacaQZpfmHMBYcPbJvQ6P9wPuuvPrlZtDvfrjR/NY3TnxLAb6wuMLSSp/Y8IO33Xr3f/vyV26bW1npIKXEU2A9C8IiJMgItIBAQS2GnvQYeIqT3YDTDzZ48Ok+f3l1j3e8dsgbXz5idtonHAeMY48w8ohiTZQCPU4UcZImbJIC4MamzG2KmjIhbBpUujoOrQ2+lxD4EfUgpFUfkjDk649J/uz2aZ45MoWIAi6YsWyetqybVqyf9dm0TrJlfcSOTV1OzPf4/S82icd1tm0TTLc07Sa0GxHCC+kOm0y3LEIIrIUolswGitjE9CKf3iBhuas4NV/nigtb/OQ/XuH9fx5wbL6JVlF6YWjiuMYolGyaC3jxRV2uvrDPs8dO8ck76tz66DSnO3WagaLlQ9Oz+NriKdDpyilEtbrOANa4iy4xgsRCnAjnnyeCMHFJomEiGCYwjC1xHGOiMXO1IW963Qrvel2PV14VMVX3CKMmy52AcegTxToFtyKMNGGsCEOdZo4lWEE0XuLAs7dvqAfmv+2+5Pq4v3LiT1TQplb71mU9v6UAHwyGrJtpvvXrdz78u3/xmVvb40EX31NY6w60qy1xwY8S7sDrJGVzZagngoHyGcSa8+MaX3iwyV3PDHjpbX3+5ff0uHxHlw3TinZDO3aIPeK4AHmSAdy4Yi1r3d+0eUCZpvqVdUGsjgn8GE+FdIcR892I3/pMjSPnZ3hszzTW+MzVBRvWWdZNCebairlpj41zkk1zMVvXD5ibXuarjxsefW6aq7cJZlqSVkPSbhia9RDhjQkCjVbu71sLSSIZjjXDUURsBL2hode3LHU9zi62ufHSPi+7YoVP3FajvqTQMnKAtJo48Qkj1+O5brrGS3b3eclFfR5+9WmOzUv+9NZpzq80OLkY4CtJ0xP4mQyT7tjnRJ5JFRyTx1YQG4iMYJzAKIbQWEhiiCOkGrNlZsjVO935uP7yhHZdE8dNOr2AceQTp8B2K6xOZaQijFUqJ1322FgX+4TjFQ7vvW0u8MXvbtr+0uVwPPj8txKT3zKAP7dnP9u3bVIf+vCfXfTEM/va40GHWk07G84WtRIyqylJWUUnAk9Z/NhSSwQNJRgqwUAHDBOPxbDOrY9Ocd9zQ5rBmH/+nR22zcVcsGXIjVf20MK1iAnh5IrLSroD6C6oFNw4G1IJ55lbYpAxzx6RPLJX86WHWjx7vEUYN2hpxfq6ZbZpmWlY54O3NbNTmrlpwabZmC3rh2xev8xdz4z54Jc2sHlas74N7aai3RS0GjH1YMx9+xWjUOM1HaisFYSxpKYV114y5MGnp13h0zBhpeuxsBJwbmGGn3zzOU4uLPLgE+vxJCAiDOQAGoeS/lAz06ox3W7ysksGvPrqAd9/8zx7Txi+/FCNh/bW2X+4SSw047FiECmUkHn5A2SBZ5oTsIbYWKwxeCJhyg+pEfGy6/rs2jxi27qId79xTN2XNOseYdig0/PTlVSnhKNyrz1KwZzFSi5GkukqkRGP5vx8n9Gj97fXn1y46JWvfac6deJgsnX7t6Zz/1sC8D3PPcfWTXP+Qw89/MOC5DeGvSVm2h5AGty52gh3YB2wlRAFg8fgSYFnLEFsqSlBIxGMDYwSj2HiMUhq9HoJ/+0TM9g4YuP6EVfsGDE3FfOO1w7ZsSEkikSqt90SmBsmqf6U0iCk4NN31nnqUBOhNcdONzh1rkGtrpgKBNNNS7tmaNegVRdMNRTtlmKmpZmbhnXTMRvnRmzd0CWxK3z6njbDfpOLt1naDUWrIWnVDa1ajOeFfPXBGuOBxNvgSscyidKsK9700iF3P27ojyX9YUJ3oFnpac4uNrh8V4t3vLLLY882OLbUQkkDRKle9ogSxThyiZn+SNPp+7TqDZr1MZdvG3HDpSNOnO9w9MwK2kt48rDmL+9oIJQrXGNy/qA1gAFricKEnRtj3vXaIevaCZfutGycgyT2GIct4thjuesRR4oo0WkcpIgit5JGsUpjogLQzt0SabxEXvvj4oCA7nCFejv+jWeefnSwftOuj+zfvze85JL/500T3xKAnz1zkpXlhUuOnzj5e08+8YisByrVdRaT3pNEpCWukEhXrRcZgY6dfIkSi5dArARBYqkZV2McGkuYCMZGMk4kofGIDMz329zxlMGS8LmH3MgGrEnvWRYvtchEVpEokUoRRxppNJ6WtALYtd7S9AyNwNAIoBEImnVJq+7k0FRLMtOGuamY9TNjtqzvkbDMb/1VjXuf3sDuOZhppOzdkLTqMY16SLMxpF5vECiJkqkGx8mBKPIYDQXDcUJvrOiPDL2hcS1zTZ+T56Z4xRVjfuad5/jAX2qOrwQIYbA2wiSWKPYII8lo7MpYW0NNs+bTqNdoBA1qQUSrHvLii0N8L+L6i2Pe/boBWsVpEsiU6u0zkLsVxhiJEJLAU4DPaKxZXNaubifJYp70HssiBorTe+LAnQM7EXlyKXueJIXuN4kgTiwPPvyovGqkfm9pZXhPOB49863A5v9jgN95++eYmtL1Y0cPvv3ooYOi3fJdBB6nmcPEATxWBchjZVEJqAQS5SJ2nbjexziL6JM0qs8ieyOK10YQGklsJYnRRCZwB6rkcUMpSylAC+EylQpqdUtNW2oqIfAg0FDzLfVAUPcljbqkUdMO4E3BdMsw246Zmx6zYbbPlg2LfPBLho/fupHt04p1LUO7qWg1FM0GNOoJrXrEmUXDoTMBNd9d0JCtZoJRqNm1ybBp3YjuyGc4simLS1Z6mla9Rqsxzbtfd57DZ87yh5/fipYaiyExCbGxRLFmHCqGoSuKGtQkjZGmHnjUg4ROz8UYvpe4hJmXoKVrlJDSpfNFenelKwIQKcgFHZNWWRoX1ySJxBhJbIp4xwE2C/Cz56XHWKTvO0fGneMC4JljE8eCUQgPPvy42LWr+/YdOy849Oef/PTw+7/3e15YgLcb0u93zv18r3Pu56UYyWZdMo6cBee+nCUxBpVYEmlJFKhEkCgnT2IDOiH9wmnywdj0tc3fK54XlXLOyxV5oFTW3ECayXOBlZYGLUlrWsBTAk9b5xtrQS2Q1HxJPVDUa4pWXdJqWKaaCdOtmNn2mHUzA3ZsXOSh/WM+cecWZmoBG1uGdkM4cNclzZqhWYtpNcY8tA+e3NvgovWZPCvS5sOx4vpLLRfvGPLwM9MMxpbhKKE/1CnIPRq1OvXaNN/7qiWe3H+eB/dsAqswJnHlsLEljmxeTzIcaxojS72mqPmGwPcI/IRAG7RO8LTLDivlGkakdKXBCIug0HNFcO5khMkcKZPZryUrNgO2yZg5e00O7DJr5+DOCCx2BBbFLks6HA3ksRNn/k/l1f1ms/WrQPiCAdyarozC0X+87/aP/9th95Qf+H6ue6UQKCnSBIJIwe2SCUoZ956yaGPTi8A10Jps6cqzjzh2TkFu0kxclqyw1lLKvFdW3CxVnSV0lEwzlopS0ZbL/gW+ohYo6oGgURe06pZ2I2GqGTPdGjM3NWTL+mUe3DfkP/7xRo6fnObCdYbpBrTrimZd0axBs5ZQr0X43ojOyBWLecoiZfHJHHNJotinXY8YxIZBWmc9GCX0BpJOXdHoBdSCFhdsiviVH+7wHz4qeWDPRiwKYw1JYoiTmDA2hJFiFCqGgaQ+VtR8SeBbAl8RaIPnOb9fq6zWJ637SWWKELbaoJum9m1KIjatZUlSwCemeHRkJAvZkQE8fb4WsJOk8NyTxKQAT4gTOHj4pG9E4+fe89Pf6S2sDP79uunG3zmd/3cGeLfbo9szv3r68J3/etQ9UqvXBGZkMMZ14UgJKnagSqRIJYoDuUnBnaTgNtlzI1LNTg5up+XBGuu6yNOgtXxnAuBFs0QKbuE+h1LOLtNpK5qnJYHvBgDVAjeSoR5YmjVDq5HQbkRMtUJm20O2rF/hwb0D/sNH1rHv+Cw7Z53D0qpLmg3p2LtuadQSGrWIKAn52G0tpFJ40qJEYRMamy3hHj/whmW+9mhILwwYpADvDxW9vqITaGp+QOC1uXR7zH/50UV++SOC+5/ZiLGSxLi0ehS7QrNxaBjXXLlrEAhqniDwXWbT1zbP2GplkMrFQzItS84BXqQ8gZREcLkE57akgXwG4HTqgMmTa6TsTr7iZquzK5ugkKJpnZCrG3LfIYoNxkqe2nO09sWv3PVvfuCdrxP9fvcXmn/HJNDfGeAL5w5jMS/bu+fp+nhoAI2WYLQ7MkKINFvovphKHNCTPD2cgTuTH2lAmtdKFO1XDuguE5q5MmQHfuJzZQDPajCyTF7G3lpndScSz5OufsMX1AI386QRJDTrDtztZsh0e8j66Q4P7R3wHz88y7PH1rFtRjDXLEmTmqZZc/Ur9VpMPQjxvDGnFmfwlEBJk9pyRZCZJJI4VmyescRxRDeqpZ0yhuEooTeS1AeKmu/hezU8PcVl22L+y4/M84t/BA8+t4HESAeMxBLFScrkhnFgqIWSka9yCeZ54Gkn0VydikWndq0UuEpOURzDMmlYm2aCTcrqmTzMgsQ0W5wkpfdNITmTXILafCXO4jPXeVQqikvdNmlDHnvkkfpLrr7gZVJK/q63vxPAv3brrRw+lTRWTn7F73d7CKFdR4x0LAEFe7rA0gWT7os6oBtjSTQ52KvAzmSIzYFuMzmSPX+ezyZFUUTl/HaRg1tJmTZKZPIEah4EvqFes9QDp58b9Yh2I2S6OWTdTIdHD4z45Q/N8PSx9WyZVqxvGqbqglZN0qgpGnVBveYuDpfqD3lwj6A/8qkp0ovMafCsCSExgijWNGuKG6/s8dCzbQbpDJjhOGEwVPQCReArfM9P9fM0l283/NqPn+e9fwD379lAZCSRMWmzdNGDOfYlgW8ce3tFHb1W2Z1UphQyTqZZ3rVAniWFbAbwFPBJ7ryw5sprksJNy4gsJ7gc7Bmbu39TCKj5km6nwyc/9UX/Z37inzTuvOO2wWtu/o7/9wF+4vgJNm3eOn3LLZ///fnl6FXKGHzPnTktRTrWgbzdLJG2WLYkKWMXV7lRYm3WLgHa5MAumoJJtXd+MoQrKBIyWz1EDm4HcFBpxaCnwfdwnUB+WmAVJNRTedGqj5lqDZlpdXni4Jhf/tAMTx7dwKZpzfqGYaoOzZqgWVc06opGzt4JtSCm1Rhx15M+K50aMzNFmjwDjEm1aZQoNswpXveiPnc9YlwXTWhKIJfUPEnN03jaR+s6Uhou325534+f571/YLl/3wYio4nSCkBX9uqYPIhkXl3oa4nWaRGWFCidHRvyz5ddhJlUEVlVGkVCaPJuSo/GlB7zlbcAd24Zl4BdAD8ju5SopAASlAhf9fSzh/7oLW9560+dOHF8Zfv2v92ucH9rgPe6pxkN5987WDn6feFwkVZDpc0KDoBZDkFKZwPGMnU+VCloNMUVn8mPJJch5OxdCSQnmdsWUigDef63SzXeShUVg1rh6jO0xfNcY3HNN9T8hHotplGLaNbGtBojZqc6PLZ/zM//wTqeOLyRDdMeGxoJUw2bgjtl75qkHjj2rwUxjSAkNmN6YYBQrgZHlYqdbOr6JCYtEIs8mv7IlQuENWYykI8SBr5j8MCXriZeZxvQWq66wPL+nzrHv/ufhvv3biQymnEiCBOTsrigFhkCz+J7rndVp3GHVi5NrqRMj0+aac4eS4VZ+YVZjnUmwJ2TUImYyuDO46rsdULhhOXgLy4QSyYzBafOzPPkM4e+b9OWJw+FUfS37lj+WwF8efEkUzNbdz5wxx9drcwpZts4TzWNxK0FKwUqZeFECmQeOIoc3EmpJjkbjWazYNIWgVjBFEVW0pbXzIy1y0FlttymHToqDaa0TjuD0iKkrHqw5iWpbo6o18bMtAdMNXs8uCfmFz64jscPb2T9lGZ9PWGqZmml4K7XnJ2YgbseJNT8mHYzZM9Ry52PNfGlxFMmDeIKjyJbvqNEERvNa14ccdGFfQ4dr7O+getzDF3n+mCUsrBWaO2lyTLnXV+5E37tJxb4xT8w3PPsekZR3SXDYksjreEOPBzIdbZ6mby3VaokX+GUFCWAixLIWaVXCpDbKsDzCsVi5V1rZa4aCZOrdl7NTCJdmccze08g9ENX/8LP/sTOw0dPHrvwgm3feoCvLJ8hqE1dcOLwA78Zh0tv9WQXr1H9z23qUWcsVbGTrHNP3JcWq5a0zB+2uac94ZKscktS5p4Et7BIldmCDgxapaytLb42eJ4h8AyBH1PzY2pBSKM2ZnZqwHJvwN3PwK/92SaeOriOdSm4p+uWVl3QrIncK3fOi3Hs7TuA14MxYZIwGtaoKXeRSVFa+sk0q0gDTe20vB67zvRIlABu8P0E39N4nnRTBaSXAxwB1+wS/NpPLfPf/jzm/r1znO60GTUl04mlFVtq6cSBwLOp9585KTZn70yqZADPP2/6ocs4zxVielIyQBbgrkpKV81ZAnsF6Jn1W1Q1ls95RpqdwYAz55be+rWv35/cdOOL/s2x46eP7tyx5VsL8GH3CNGofkN38dm3Dzt7adZ9rE0wOQBFAdA8QWALkNtUb6dSxJhsubbplxOlA1PVfMWtqgrzuSmUgyWbyhNbGg7kymI9bdIxE0kO7sBPwT3bZ355yPs+1uDzD6xnoT/D+inJ+loK7prT3Y00sKwHkkZgUwZ32rsWhEDI7U/4LEc+cwGVeux8lUuPUZK45od2oHntdQMe3BfSiwKm8o51gz92teq+dgDXaUO2kC5Bg4XLtks+8C+7fPnBIb/64Y2cXJhhOK2Z9gWt2NCIIYjc6GVfuYFGXhZoSpEHwdljOVAvX5hCFOyanR+YkJBlYJfiJ1MCfzmPUWH4CekD2XPFQ48fZMPGjW+vN5of6/WHR7+lDB7HfZRqXLx85hv/yo4eZrqdYGyUMrIoEgEZuE2W/coALXNA51o7B3UmQWxhQ02ydlmWpAc6Y5Ys3Zy5ACoDuLKumEtnvZ2uv9P3EnwvpuZHBH5Eqz5E6wF3PZnwR19p86V7NxCaNhvagnU1J0ucBZj55Cq9i5S5y+wdofWY+56bZhBqNjeyzzPJ4NnqJoliRc1TvOzyIbFxAB9GwnWtZ53rY+OCQ53OhkntPZEm1y2CddOC77u5Tys4zYe/MuTu5+Y4G9UZ1CTt2NLU1oFcp3GIsmlcYlOQZ8dQFLXjEiQFi0/uKJhLlWxEBVWAluOoCkunQE/sBNBteUUXeRmvsTCONV+44zkuvuyyf/X9b73p8eXu4MBM+68fCffXAtxG+xkufBLlz2wR4Z5XN/yTSKaIYlPUX0+A2hoxAXRbAruoypFMa5MmEyrALlkPZftK2AlpkmXlXMWgG+1m0prvFNzK1WIEXoTvR9S8kEZjhO8P+LNbNb/+Jxs4ND+LF9TY1BLMBgntwNIMoJl22NcDl+2spQkhV7+SpCuBkycL3YR+6OMrhS9tHmBS+irZhZ3VboSxR90bsWl6yMqgxTAS6bg1Fyt4XpLafCq1O5UDeCVwdZWPb31ln+uvmOfX/nTEx7+6nqW4ySDwaHqStnY1OIEGX5E3Q+gs6ZOufDKXKkUCqEwqVbFSBjqVFdhUWL2szatgLrN3vtqnP8tqkMaJ5uDxHp+767lXn++Nt5xb6Bx48KnjvOyab+6q/PUANwn19f/ogrj/yAft6GHqgeszDCOd11/HSTpH28iSPCmzuMg7a7KTkQWPRWAhSpJETEiTDNy2YBOZ1ZeXAC4tShpkhbmTFOQxvnaSJPDHBN6Qo+di/vDLTT57zxyHz83QbnjM1mAmSGgFNk29Z+CWKbhlnhSqpdo78N2F026O+cx9mgPH6tTSCVx5uxgFyvMxDtbp8CjWXLYTvuv6Hn90yxz9hqadzh4JwjRuUAatZTq2jhLIvdLJcqvCjnWSX/hnA67edZI/+NIsh89OsRTXGXiaphI0UqD70roLJ3WZ8tUvO66ZfYjT50Wm0672yTNiykonct98taVoy2xtC0AnZcAbQZQW140TQT+RjKzilnue4bU3XPrBH3n7q7/z3ELnr5Uq3xTgi50Q4Xs8u+eObWr8yO6drbPYoIkQI6TwiJQroVRplVm27Jq05NKWwZ0X72Tsnd2zgyByFihYIaNtW9GBGbDdYzZK2YHbuSYZeyd4OnadOzomCMb4ekwvCfm9T/l8+MubOLU4jVF1ZqcUs75lyjc0UuZu5Ol7mdappNIk9c5zcPsuezmOQg6cDOiHATNB6uJkSafMlciysLZUkxJp2k3Nrm0hKhjRC1sMfUE9HYnm62x8hpMoOnM9hHqe4FWxfmrAT751wNtfc5YPf7nLH356joVhk6GuUdOKhhbUlau/99NuHyVFmt0kXQ3t2kzOGnJl0mEBKrFUBtwSkU0yeZKWYiTp8ygF9yCBQWJJbMzS6RWOHXl09+LlbHv5ta86au0AIZ5fqnxTgB87eZ7OVHv9/pPtT/3BR5/y3v9TcMm2YfoFLTI2xFKjlCRJ1Josbm1VtlSAnQK+YGyBXfOT2JIdaHNgV+SJzIYFJQ7gOkGrBN+LqPkhvhfSGYXc95Tkz25t8+l75hglLXzfZ84XTPuGpm9pBJaGX4C7FkiCQBKk0sQlhlJnIgW477nM55EzlrsfbRBGHkHTrgows1vVYXIjMDxP87rre3zi6332nWwyrLnRDGPP4sfgRQYvNG6GoxSpjJDFcB+K45kYSWwkjUCzcXrIv/veAZfvGPPxW1s8smeK+WGTkfLxPE1NC+oSgmzAUmavyrT7SlACebVmZbI4q8zoGUFNOmLZ60KeiIK9rQN23jZnYGQEo8RikxDGAy6/sMNNF33Zu3rXSz9l7fKLkmhl/u/M4Ndevl4+8eS+Gz79hfumvvbQLD9nhnzgZxa5YNOIASCkQcaGxCiMSvK64QzohRypypL8ngE7lShlBq8U/rgenaJhWdh0hmHG4Ca1AxMHcJXkckTriE4/4t5nBH98S5tbH5tiqdNC1mu06oppz9L2DQ3P0vAtdZ+UtR1z1wNJzVfUfEHNJ63QMym4DYHn9LfSY/afhFOdmkuspPq2mjgp6mdcAOVAHhtJGGo2tgUXbx/y9PGYQeQxTmd8+yEOfCqbrJslakBOdOZkF09mQ0aJqw9/1+uGvPGly3zj8R4f/WqbR/a0Wew16Eifvq/xlZtyEEhcD6d0u9QpUVykSqRlv2sw+Kr6lUkmLxGaYUKiUBRmxRZCC6ERhAZiY8BEMB5x8dYuv/6eJV5xZcDJg3dN2UbzBlW7/Ba+yfCgb67Bw8PB1vXD/zm/cKAZG8uDT9a4+xnNpbtColgihUvyJEmCMSp1SyYkSgngpKwOVAFeOiAVXqhIE0u5QN/JEpNqboOSiRuIn7kZMmK+F3PXo5qv3Nvi83dPcb7bRNRqeC2PtoYpz3Xy1D1S2QF1X6R3mZacprrbFwQZe2cA1zG+H1PzQ6yNuP2xgGNn6qybFXjSFNNx12C7vPw0lRTDscfOjYLXXTfgsw+E9COPYSSoea5f1U8nSxWrlMr9aoSsyBR3l0WjgnF+ez0Y866bh3zH9Yt87p4eX763wV1PtTjfaTAUPkNfoz2FFsK1EEqJJ2wqtSyKcm9t1T5cg8wrLljB3CIPQBNbyJLYOtaO0+fOPk7ARpCEMAp59VUDXn5NiCc9jp840LQz8f+U+uTlwPDvBPBP3/IA5xd7PPbUUWy/Bn7sZLF0nehulrYhkYrEqPygGlsCd7YDscXtZ1k+CeB6J9eoCawElCVgi/SiUtIgUoBrneDriFotYjRO2HcKjp5WfPK2KW55pM355SZ4NXTbo6EkLc/S0oa6Z6l7UPMcuGuem0noykxl6S7Sn9sU5CYHue+59rRDpw1PHwnA89Jl3pZS9KKCgnIQ5uqlBXHixjlftWvMFdv67D3VYFgTNGJBEFnGitTaMyl7Z25KZkEWWiX32bOYyKh0+oDHKPSo18f80JvGvOXGFb72aJ+/+HqDo6dr7D3VIFwJiAPNSGukki6dD+j0MWPyXLpQBP+rbrmbUoDakJbc5s+Le5YNdW2HMZg4fYwc0K0FmdCa6XLRhc9wdnQviZ36phz9vAC/+5Gjoj/o/6uP/NVvrPvum7s8sGdMYuDKi2KoGfw4RIaGONFIq1BZN3sOcFkKLEsjHBApqCk9TsA7i9RzzeeSGk6SmHSXh4QgcJNU4yTh7CLcdofm0Mk6dz5U59RynUOnmxAEqIamphVNbWlq41wEzw3Or3luXJsDcXaX6V2lACfV3Cm4vYTAc+ztLqyQI/Ow52gDT1btwVyiUNSD545C5qSYtK8x9rhi55CLNwx45nDMIPZoRYKxBj+2aadUAXApBULKCpPDhAWXyaBE5n2UUeIx9nza9ZAfeMOYV17d5dRyl9sf9jl8IuBrjzU4vVgjGXoYqYl8hZDSrRRpV74kzXhCLlvWAnkl0KScpc7clvRdW74n6T125YhhDGPDc4cUx89pjp62PLTH4zXX37Pu8mt/8V9Ze+D9Qly8Zvj2vAB/4IH7sDb+vldffa75o2/rcuyM4p4nfB5+xmc0EmydTbhoZ0TNJiRhNqrBBZvF2AZZkiIpsG0hUTK2rn4yW4rYC9bOpYhK8IKEKLEcPiF4+rDitocaPHPE57kjdbrjgHEYgOej2h6BEjQUNLShXvKBA53VaWRls64uPEhlie8rfF+mF4AttLeXuMyi53R+zY+wJuTckmRsA7SW+NKiSzbbBIHnIE9std8xjD0EmvWzIVKN6EceAy2c0xEVBWNamUoGUopSFJsNO8KtnjmTlwYjeYnKx08Mxj6bZkJ2bIx48YVjhuGQf36kwzNHfW57sMbTR2ocPl4jihUECisVCEkiS9mgPEmxhlapiPPMB84eTekxBbYpAT1K0Bh2XxCydTbmqosiPvSZBvc8HnDsZMCPv3Pc/AH78Pdprd//t2Lw7pm/pNMdqKefPSgu2KCYqil2bo35o882+LMvNZiuW3Zsj7nqsog3XD/mtdeGYF0ipd4M00lSEowgjhz4s0CywuDlS946QJPOL/G0BWEQ0hKFlsHIMfrRk5I/vzVgECmeeK7GwRMBC32fceKD9kF5qLbCl4K6goay1BRunJlKC4+UY23fEy7pUQa3J/FTWRL4EPikrolLmXva4HtxmhGNqNdCzi8n3HZ/i04vYGZKoFMvPiv6Es/HbKYUEBrJeKxYN6d4440jvvbIkOOdJkNPOpmiwYstXpR51qnHLhNnF1KedSLzv2GsLv0NB3Q/USRaEXtu7EMUec5K9SKafsQrr4p52eVj3vbqEftPSJ7c4zEMFR+/rcGRsx4IyWCoSUKVlW9idQbwCcuonL6tABywBpFYhHH7MmEN9UaM57nd9F573Yg3XD/myksjLtgRM1WHj32pzp9/ocXSuM6ffaNNf3BabN99lfqND98a/x8/8oa/GcCFsExP1X/v2ouOXlPTAxIDjz3r87m7Gix0fRYGgiNLlvuftnzqtoT1MwnWGq67JOJdrx+lBeywfspw7VUhzZo7mViR58BWn3ORD+fpDARPPqVZ7ErqNclDezy+eE+NUaQYRYozZ32M0ETWwwgPtEYEGi0lvhLUpKWWAjtQlkBZVwOuU89XF8ztZ32ZObhV2qMpcvb2PYPvZwVaSc7evh+hVMgdjys++0AL5Wtnt1X09/MzeOaFJ0nmeChGI4+3vHzI5+/r8vHbp+jHNZqpDvcyHR5lSRmbdwsJIXOAuT8lS1q/BPA0MRdrx+SeVsRao+PEAV0lKOUG6c/UYl5+acyNl0ZYMeYdNw8YRW6c2xfuCXh4j089ECx0FU8+49MdyFQlCZ5XlOc7T7jWwGuvjVg3nbha8MTyrtcPufbiCGth/YxhdtoUq6GyvO2VQz57e517Hq9zYt5yy+ODa/7Fla3fs9b+5N+Iwc8tDYjr9fa5Qx+6NOmdVTbp8Sd/Vudz9zQ5fr4OdXcgDTA2cK5jObfiztb+45Yv3uGuRJtYpmYMN1wT0qq7OuA105PlSz11HVb6ikee9ul2FFJLNxPFasdMQrs+OKlBajf3UAoHZmkJpMGXDgi+Al8VM/ocyEXR8KBdI0DWeFwGt2P4tKzWyxg8Kd1jAh1hbcipBZ9wXCOYkvgqG2xE7iPnWUxBQV4l6zTvTjeKMPKYaSm2rwvxxYhhHDCMBXXthmBmNSRZQkvJcnmrzP+W+xtZss0U2VOTNnyXpFEcJ2neQKVz2WOiOEFFLpegVYKUMdvWmXTFMFy+Y0Roh0ht6HQEjzytWRlIVK5YqkF15UynxVjNmuFl10RMzRhs7ORrQ7mZlRaBsQqbKGKbFQhYtq9P+K1/s8zn7o740JdHTNdC1fTOX/rTP/BP2//6B3pdz69OqV0F8MMnzuJr/f73fmDx5gcfbaJFnZWeJjYe1ldVzSVLH99aYiydTFMpS3fFcuaOZukrrgXwsn5LT44QmGzLBdKaU6GKIEfK1MrKQJ2mnSXpxq2Zb1x61GknvSLdeo8c3K6tS+Gn4PY1eYmpY/CUxbXBT7OjnhcRBBEnFgx/+rUmaB9PiiLAzOWJWMXgZX84GxLqwOYG64SRx7vfOORzdw157lyLfuLRiN2mtK4K0BadOCrLCZSDvax0MZNCslTgld1NXgujtcJL3LwULwW6kkXSzNWNp8+FSQcHJWhhETZhXcPwj15hQCSpzAREtn/GGuc8rzESYBQm0rl8TWJBnMdu5HI2j8kSw+XbEy79vj4/9l19jDlLrT13czK+8f3Y+Kf/Wgb/vz74WZQU/tPPnWS5P5X5QinIUnBPrrfl9t+y1lKWxCuBe018i9K/mWr3UvAipMxb0JQAT7i0ciBctaAn3WstSWsq0u7xrJBIU5qDQrozW9FVXwBc5rIl8G3e0ub7pjQ4J8ZL2dvXEVKGHDsrmO/WEFoTSCryRJa/Vul0l6VDBXip0xHGHnPtMTs3Ddl7dsww0YwSCBKBl1i8ONXhMbmzVKTQVaVTIYvt3KRdW2oXzKSRQSeGREmUzrYvV2mxWoJUJl0pTGHNpiAX2d/GTckS0uauVwb0zAErf/8M4EVyr2w8ZOUbxUVQ1EyCEG7EhBSGVt3hTIhD2M5H/LXyPasA/sieUwghWB4k4NcpOponaaiE5xS5dhWI/zpZQtqVUyqsFwJJkSJ2U6nAExZPpKCVpem0svReSvZFKSh5g62vhAN7BdzSPfoZ0LPgMwV31v2jTS5RPO30qe9HxER8+b465+breFMKv1zDUXZQoKpIy6nrUmFalvQZjd0E2zff1Oe+p0Z04xoDranHhjBNpytZFERlBWdCGIrOoSzQFLkt6azDdKaKhUS5v6mNIFYCnch0FztXyxOnQC+SaSZPsElpSok3k++xVIA7tXnzvWJsic+r5kIV4AXw88+fwa/4aQodiyDBM2Pk4BBrMWgF4P/tI7cx3a694vf/4p7rzy2MaXoWJcozjyaqx6CoJSl9QMPaZF3BdXbPkgUCVPYoLBry4EKlKWM336TQuCoDtnQNz9kohDKw8zkoCtePuBbAs4Az0906kyU21dvVWnLfi/C9kLMdw2MH66D9dKC/zdPzOYNTZfHsFBU+cLkvVeaeeBR5XHfRmLnpIZ3lBoNY0VDgxe67qMS6e1QGuGO4osJBTlRqirRvMi2nUIbECDwjSJQkUYZECeIU5OXitawcQmYgL4E6K5kQmBTkKaDzTLStALQ4EKJyTIp6lpTZRdlOnmTWDEjp3kJiw/WN9f/oFb1z77y3tbEY91YBuDIh0dD+o1kvubYtQnxf5ycCSqb9GgAnf15ahidBbYsrsQxwkc4Md8mD6sg1VQJ5xlg6q41Ia8CzUk/XXJx1qjhZovLulQLYWfOtY+9Uc2tyvZ1Zgo6xC3B7eXVihCDiS/cE3PdMCxlofCnc/O28grBooysq/iazmYJqebELNBOjGI48brxyyHe9sscffqlFmAT0E0ktsYxj0pWrXPVnUjlnJi6o52NyMFqmDb8iB3eiJEoZx+hSpqMlTKkUuVwDZAuQV7LNGZMXTJt/68myhfTt8lwtW8LUZEKwwvbpa2Miaja4VjbDf2QN95b/6RzgR46eZHqq9cZP/NVt/yzunGdDE6wweQH6ql7JyjgBW/ow1QusUjxFoXLK4M4AIEugkBQ1D+XRBhlzZ0OFlMi2ACwmV2VjInIWT7thPFUFtxunMMHcac+mn7a3eTprOIhL94iQiL+4vU1iA1SevSwHmEVfY+ZsVDQ4E+16RrrpUEkWbGoEHu967YCPfXnMiokYJjWGicCLyVlcSouMRV505uzCSS0qS9ZkuaFAkOh0dINKQa4tyji5kiiLSlwFo8sey7w0ubAoy9WdRRlz3pSSA93mJ35tgJdfC2zuOGWAzoBebpRJt0ZMfJZ6A0IV/bMdF7/hzpWlU1+bnt1aBXgYRgxH44v6g/7u8ahLu+67ncpMqVm0vNxRNJyWP+RfK01EiclL8iQHuqgGaLkWn9CcGejLsz2UEoUWTyvuKsNuUmBrJQonJbcDXce9a0y2KXMXAaYusXfghTx2UHLgdA2rPJSU+NL5tZU6jZIAn3RRsnve6VRqDskclSj22L0l4ooL+zywv06kfIaxoCbBSyw6Fql8S7tw4lSHI51cqPxJUWJxUZJGxSiPbCakViYFd9rOpmwJ3FktkE3LBDImJ189RAnciGxi1vOw9xq3XKfbgsHLZdXlUuwkHdU8GIxpzg13m2R8kTHR11Yx+PnFZQbDEaPhCF8JhHIyISs+LxpFC+2YPZYP4t/gY68qnK8AvQRuldd8F7ZbIVmE654XBbhdkCnybnGdg1tWAF4e/uO67cmBnWcrc+ZO8LVL7LiuoAhLxF/e3mBxsY4ItPPdyxfhZA1KfnWXiMAW0wTKddy5N20UUaRZNyt55+t6PHawzTipMVA+9cRp8aycVUlScGdrhUk98az6w7E4ZYLKmsInplK5u0SZbEWy+XMHcJl+T5O3zWVd/kLIojliksEnmlaKdN/qQrsKpmwR3xXHSlQywNn02vF4zKC/RBQVxYU5wP/wo59DScny8gqBr7DpScqmEBlZnIjJzvcCvt+cvzP/v5AnE49lQJdZvDJerGBsWWZwJUosnskVidJVgPs6HQDkZVsHphlObfHyVLxJnyeVu1auc+e5Y/CpW1uMpY+SKs1eVi/EyQzm5KVfjmtWtfmlDB4nmiDRvPMNI/74lgFPHa4TKY+BlPiJSd0jgUxs6ThZ114myuupSf9Wdd+iMpMnBnRuIbrR1iotCVCJLYZ15nNZRH5BxxN6PPess3MKJSbPQP7NsVLULGV1NVlFYtE8Ux7hbKxkeX4f+4ZnsKaQaBrg5KnTbN2yufHLv/p7uxYXFvC044FYWKQBlQ1pqYx1qHa/r51+L3+hyeertffzSxSRA2dyHLIsMXYWZGZTm7TONnlNtbeaAHeWvveyxmTjZobkLWJZT2ec3iOUF3LglKYX+qB0Kk/sRHns5IVbPTjVgUYTXnjajVMkfjRNT3Dp1hFPHQhJTMDQ+NQSV7OtUw2uhJuxnW0TU/hZmc2bnfSiCC7rcNf5YFP3njJu6I42pB1EFmmKCQHZdK0k6+7PDYAiuMwDz4nznV3ea9XnTBJ6OcCcZPDEiHRniEzSWaIowQvmdr3s5p9qLMz/xGDd+k0O4GfOnKXb6bzh0l0b3ntg77OowM16lokDuUlBlR0QdyXZVeAu6/E1Oz5KGiwHgKwCoQB20ceoSqyoKkM1M5BT1EirEqjz52mSR5F64Q7cDsDFUCCvLE/K7K3Svk4/ZKln+O9/1WJxWEMEnpMn0lZWlWJwzje/6CvTBLJRCTmDO0cljjXthuY9393jG4+1WRz7hFIzlBI/7aEsRj6kDF6upxcmL6O1mBTcBouk6qyIlMFtHqRnYFdSpAzuJFGSuyjkMqXQ4UU7YSFTssCz5GVPHpvsxQSeMkcl7+vNLdUswMxmrUOnnzC1cdN7jx45cG8Yjj6XM/j+ffvwA5/z505R9yGxknGYZqASQSLS+gGTeZNr6O81VpzVrL2GTKlocFGAXE5KlOpgmhzYUiBVMX5MlUCtpUSnkkTnAM80t8mDSk+bHNyezuovquztqQjfD/nk7R7PHqqD9JBSEmSlsSVrM98jPv2Sz1tNWGLzvLu8JFNiI9NNnjyu2j3gra/s8se31DA6YCh9AinypI+SgqgU0E0yuSgzeYUVS5tBKVDWrQrGCgfubEqYgSSfnyIKgJces130hKzKk9xZKeMgT+k/f1lW2Re3BsruSd7ilu7cNo4Ey50EdfQko1ARxW7rRQ2weYNPEPj0VnxaDUV/5AbW2xTNgvQECPKlDOyaoK58wlIg6b5LVphvVw2UqXjGeWApCjbPGfKvA7gsAK5KNdQ6rUvxyKWIpwq3xCsNByo0t2NvT7upVcsdwxfuaLHQCaCWuieiFIw9j0RBiOpJLEu7SdsuswyNxCSZm6KZaSv+8c0DPn/fiMV+QKg0w0Sm9qRI3RtRNGPLycSKY+/sLZOzOTk76sxZUelzmb5Ox19nx70MciFFqfs+G+KZSpOKHhcTckWsQYJ2VWIn97+zrqDSShfnDA5hLOkNE/yepDFQxFHiAH7rfc+i67MXnDx+/8+cPX8IpSWVKbG2+CMi/UOuxkpUJEn+vCxDMpyXT3bG1BMMXmHvysFKEycVYFdnf5c7XNxwd6rgznY2yJhblZh7FYNn4yaKkRNauczlkaOC/cdqGAKE1HlzblE9WI4fRMnVKL58uRalYHJRkicidzLydrNEg9VctjNk9+YRi3vr2MR3LJ44maJLLk7BnuVCr1RfZmW0kOpNUQo+wchibmQ5tlEmlanpLnl5QksWZJSD24h0lkqmycWEVKk2LudHJgN9/vkmMVZ284pRgda6byWlZn7lCK969cafufZFL33ie+PHj+rpmqDdSjYdHao3PvDYEq1GiyQp2NkNkrcpuIuldTKhU8J3wdz5lbn6MZ8VQhXkVXkiSs6EKAWbBaAdg5OOAi774OV7uqW1KoO7BPJ0v3ovLQ3N2Fulr7WOUCriyw+0OLBQB7+QJ17JuqxcsKweF7FqkcvZsxxwZhnNqhYPQ82F60LefOOAh59rgPGIE6fFvSTN7iZVqVQwZ1nVpiBPh6QWzlj6PHXLbBpzGZnd3bFP0hVDipTVTbbC2pyYioRP+Tlp8keUZGpZtqzR9jYRcNoSk2dbqmQEqpVl4zqBoEsggjeO+nLTcOgf1TVPUPfBU5ow1Iy0SxAUAHfz6Sy2XDrwvPKksuSkbzyvPSiqbD4ZoGWAFmsAO2dzJUpNuCVwp/MJi207WA1sXQwIyke8aZOCPHbyREXUGyEP7FN87o4mw5EPDY2WAk9Upcnk5y9/5zUBDlX9PWEZln3xKNZMtTRve82IW+4b8NA+H9v0GCYBviC/0FT+9wsdXFpLc5BXUuOY4gJTjs0T6fS4KbF2FtSbNLiURpT0tygFutUYKg8oS3GBe09UgT4J8AkyyFBVjl0EGbm4kmmbeESRz2CkGY81ehxGjMYRcRwjZeGSlKUFKRDXOkFruj1rBJRVgIsq25Uck/LzXIqIAtRSlXZvUCKtTSnAXYA8K5u1aF2MUNbpJkxaVYHu5Wzt7kq5ANP3Q6Iw4Zb7Gzx3vAGeh5AqBVU6N6QUXApZPamTrlF24Ao2Sq3Xypi7bNs+mXviSeII6PIdMW+6qc+TR+uMY59EegyNwk+Y+CyZF84Eg6fx08RnQWUXm8EogcpsOSmwyknVTI/nK6oEaUqzDE2xashJgE/GJUwA/2+d6SyeZPPpEWk5iUnAhGAi9F9+5itopeh0u/ieJjHuIEhZHA85+Ree74MIJmTJ6vG7azF3FdQZY5cDzGIHgkKalKzCnLEzgBeTU3OJkjK3Y2ybM7XOH4vnXhpcahUR+CHPHBN87b4Gg6EPTQ8psspBSvbgGlnM0vcsXfJ5LUpWMlcdJD+R8CkVYIWRR6sV8qaXj/n8XSOePByA9hkZiZ9qcWXczhplaSAScnlAMmHqqoINtaKQLtKxebaqZEG+sQ7s0hSJNmHKbkp6zk3B7JM5jlUAnwB9+XECXmvgrRpUJ0JzcP9jnDq5D2MS9AUb5gl8wUkZceSE2yjK1+7AqwmPuszQ+Wl7Pr2d/V9+1YrKFbwmi8sS2MuaOwe509vlbKZSaYVhWlHo2rnS57o8H3wC3Ondy6bQpgX+WsXuriM8LyK2CV+6t87dz9ShpkG6hmavVMJbKY0t38sv1mKiVVlhkTeUZ45KYmQF6OORx6uvGvDmVwx49liNOPawQjEUGi8h/0wiKVi8+AhrM3l5iL1SGXM7Nnev0506ZNnNciA35SAzZfB8aOcEuCsBZ87eNsdHGTf5ISspgLwYRGTzWNLnqVXqeRYhIp7cv8R8p+cI7cB8j1oNDp02HD4LW2dUPoAxA2weQJWsvdVsXXULyie4zNRuSSkBvNTWVd5ZoALsilQpp+lLdzUBblW662IT1AzQXgnUmXPiHBP3qFSE70U8cVTyqdtbgA/SQwiVdxGpdCPVcta17AhlR0jkdFASdaXitIK5SxrcukydUenoh3yfeI21mne9dsht94945JCbJBAZxSARacFXCroks+NKdSDF5QW41QNFBejZT1UKeiPT/XyyoDjT3qnLJoV7zM+hKQ3slKWLvwJumx+jyaSYKH3YqnQpftcKm89mAVcq4CnD9m1dEt2juegTeBb9tQdbDmVxRN0bFBoqO0hyrSsRygmMtQBf9jmLn5emrE7o7kKqiDRZUFhPGcDzOXllkKetacVmU25nh2IAfgHuCmuXHrPG2kyqKBXjeTFREnPnQ3WePlgHzwPpgktf2NLk2HJgJVYFVpPyJAOPLT3JGyBKNSKV6sJEYlTqqCSacehx5e4Rr77BsfgwcSw+Fj4jAzoRReCXZHZhqlOTcuRUuGWT1qWSYJVFWrfnkrUuEBVpKau0opAqpaCyYO/0vJryhV+a657nRMqregnMa4A6Z+xMbqXsnzs/FobjgGsvhJdd7jZd0Lvn3H8cRpZw7BpyK2nn/KRVAenAayusXjXvbenDiYkvli1VVcekukfMRP2JIN97J9+9OGu+rTQ8FFuXKDUB7tJQ/Nw9UQlKlwCeShRfRxw4I/joLS3GkQcNL5Un5K1pqrxLcH7hFvFHRa+s0idVoJdlyuqtYCa1uKYZSH7wTQO+dHeTfafcxZcYxSBRrsowSZM/pEBI0rEcEytJViRXBri0hRaXqUaXxmKlO0dWCgdwU4qVMiY3E6v+5MoGVbLMpMfzKISq0eGOtU1xk7t6CcRAKCQrvYDIBHieh7EW9eEP/ubGdlP/X8ePHbvMT/dwL9dwFAVNJbkgsq3xZKGNK6wrVmcYK3KjvIdlNg44fUzHA+fAnbhnIxPKHnf+qAvd7RyUKrjLe/UUxVTp7g86ypsZPB2SyJA//mKDj31tGoIAVA2lNA1lqSubjqMgb3D2Sq1xRSa1nIiSFJNhqQSoRSxR2I7ZRSskaeNv0QuppEVYw/ZNIacWJI8+7RMLCUJhhEIIV0q7VtxTNQhErklE+bUtiZoU7MXFQKUXoKrh0/nf2Xtr3cv/zUQOIB+vTeFxTw7Rz343a9QsVx0aK4gSySgUzGx66aaNO17zdX3+3OlpkuF31r0E46lcI6vsyswdjInAcA2ZsrY0EZXnRQKgvCpM1KCUWbtSB24r2lvmYCgkiSppb5Xv9FDaiErZCUmSVQpm7B3h6Yj9pyWf+EYDN3/FsXfeuZ/9fUFlvLAsfW9ROSalFzmAJsBhyie6mCto0wGmSTrz0SSKRKVaPNF87+sGfPbOBntOeiBDrJCMEg9NWi+SHeskhWeSJX4yqJakk3WvLU7fZp9NZtlCC9I62ZLpbmnd37Am9cdNGqBWVucqm0+WaOTxWuU9Ufk9Sv65FO7fd6uGKx1JJMSJWyEGowTVGHxnd3hyWg+HI6IodKwiRO5/58PPJVStnlLiprzklHQ2a4C7DOqKLCnrWFl9Xga46yIpIuZCgxdbBWY7q6kJcLuJrCZ9dHagUgaV+d0qRskYlcqTRMV88d4mew4U2lsK6bzvvIOGNU+gYPJ1zo0VDV48rzYgVzzx0kQqbYSrTZFFCj+MNJdfNOYtr+hz6BMBYaJAaBKhGQqBTlL7jizQzRwVUeHjPAS2mS4XKGvJ+sasdJ9RlVlX2CLFL8BIB3yTyZSSD27E6hiuYhmuJUfK5FDGD2CyehuT1iuZoqURIIohjmOSOER3B4be0BBFllqtxNZrsCuTQC0HA6uuunIdxOQXXJ0IWLu5ocra2euMtTOwZ8ydA12VmbzQ3SoLIrMtTqRBy2JovlIJnhdx+Izif3ymzUh6ZBO0iq75dAUp10CX9WQl8n7+W74fUb7sOros74JRBJoyrxXPwJ0YTZx4BEnMT7+9z1/d2eDQaQ0qAqOJhMdQCFRSOBqyHGxOgDzz5i2gswsufU9al5632JS1M0/cVNjcpn/HSIGwxeqx2kxIgT+px1fhqcrssoQnx+K4IFa6xumMdHwPpluW6SmLzr6JyHS1FBXWrtY2lyNfsQrcq664kmzJn0smvnS5wKoAtphg7SyRUgW3KSSKrDK4rvjbKZgrfnfpLh2LezqkGxr+8PNtTp0PQOnUGpSpPLEV3zt/vkbgVLnIvxnQK5o0azwo92hmKXyZ3/NmCKlIYs3W9WN+/K09fu2jPp3IBQTWSsZGOdswyT6HhURQKOwC5MX/u5+o9CpM5zcVj7JwfKS0BYPb0rlL8WRzBn+egHMygFzF2lWwm9LrCn5MGv8Z56bJ0pHVvp824HqupSsDeQ7okvYuNFKhs2ES+AWTlZciYMITXZu5M2AXrF1Mac3ZOy24LwBdYnJtUkY3uTRxcsSUpErG2HH+qFWEDiI+/aWAD/5lm7HxnDwRKpcneVPxhCVW0d35xV6G9doQtwWBlqzCMuizlL3FGFPsgZQnf9xW4DUd85Pv6LP/mM+Hv+i0OCgSIRkZF3DKhJzBiwKs7GSVR4MUdqUDdSFZrE3ZXBSFYo50rLMPK4kfJ2Oyv5UB2mQkx6Qen9DcVEG/FuDFxL8l00pIaQXjUDIOJdqkolung3AqmnsS2Kz+EGtZhGUAixTYsLo2YXVhjp2QKLYUZKZbdJe3DFRl18GUpEoG5hKTy6I6MNfd+aObNbi0DH/1jQbL4wzcDuCedNpbi6o8qaw6WVBewnMO6xK+y1o7lyrpDypVfZNbL5qJOnEpUUZhjCZONFN+wttfP+Cz9zZY7CmQERhFhNPjk9WF1Uvu+Znc5YGKpFBWn5IFmzZl8RzQqU9uLBOMndWMCMfwpFImX+3tmlhalV+ZBLypgl2ZorRECtC1dIPTZk0T+GoiAynINhip/rG1kzyrlpdJsE98YUHBzGXA53Ud5RqPPLAsNxhUg8psOE0B7qQSYGZBZrbPjS6xt9eI+dIdNR56uo4paW/X1JDJk2q9Sd6aVWJvSt+vbIWvTeIpe+YWWiFRJpshyt3kiZUoW/jiceKhTczLrgr5rpcO+NMv+6BCEBIrBGOjUUK4LUgop8ZLVXxlTV7ywVXWI2Hd8c93pZalQjHpZrxUmNumXnWp3MNkJJaxdVYjlQE/Z+is7a6EuUlZXAI9VHHmEj6CWgh6tq0glky3lDPxS+na7Ivn1/Pz/eMTf2QS8OUCm3LHR8U5kQVgJluhysAuXJT0tbLodMSYlKljIm2qq0uSJHNMZEmiSOeeBF7EoeOSj36pxdme7/a7lm7QuxIUOzZMxAurdHfZNVqDvSdvlURPidlXbbVY3kG6VCeuZPbotj/Z2Ez4oe/qc+/TAYfOSRARoDBIRkKWNpFKQZWCOrcxyxdcmc/zbGZ6HspsLkTeIJPVkJdXZvezbPZ7JlOK7GqhFCYZvJzVLJc6TBxSUT2gFhiHCUudGLRB1wPLOLA067bwX231JEwgvvJ01VVWBvIqBp8Y7pMHnKXKt7y+usTcKgP8BMjzGdmTz5Nce2csrrNxwCpGyQSd2oK+HzFODL//yTZ3P1Z3vW1SO+0tpevaEcX8lfyzZivL5Go1weTl4zVxLiYymIVrUezxXi6fLZfRunYzkzkqSbpfaax59YtDfuJdXf7j7/uMY+kyUEYSp66KTCM199mybHP5hLuWNEqfz70Wpdgg7a63YKVNA0yRXwA2ZWtpM4vQVoLPAgvVzGZGlpOYqgbFpQNaImNS58cYy2CYMBwb6mGCdiMkXAbOCjceIgsg8n/A5t99FSGtXkYmgZ31562tyQqwr8Hepf3n5VryRNq829ttm21KEqU09jfT3emM6zy4lDGeH3P7Ix6fvbvBOPSgrnPtnbN3HthSua9i7hKKc7CX5NwkfZcLm/KBkxVwg1VZlWG1VjwxEmmcVMmAHseaeiPm7a8ecuvdQ257RDnbEAlCEgnNMCOf9FNmAWDO1rJUyltaZZxFmIE6/ZwSVPr9stfWZglCm7soUpCm17OV2zFDeZpZVVsXZR5VQq2kXSvxS3bcEmOJY5OSrEDXAkvouznYxro5KMZkTDJxlTzPrQpuW1yJ2XulSLcsTzLGrgSVGdhlybHI9G++n7p7nWvvfBJqAWytJoCuCnDrFNy+F7HSt3zp3gb7ztScNBGuJFZk2ltQmiBlV4E7lyz5hS0mlvxvfstm7mWW3Fop7MnEz2S9uJQKaRKk0URjzSWbIr7rlX0e2uPTCdP0q3F6PESR7QMhSb3xShltcVYtLrmTX5DSsaRKW9oKNs+kSprwEWkNeQ70aidPNndwbXBnWtv+tUevAm5cNjgxljCyjCPDODLoLEgrWzZGlOoNyquXXeuklaaIZkBfS55Qyv6RyZNqsqQIMAtgF+DOfPAiuJT5YHZbYexKQJklcsouinSd8oaEP/lynQ9+poUV2vneFfam0N4Va3A10CmdILIA6fkwXpIlFZas6G+br6STrWzZVo3GGEwiMdL54koaosRDKsNPvm3AwdMeH/ysJooLkBsEYyFRRpT84lQ/TK77NtUZQDr5Lf1OtqgXyYCeFkHJ7D8TqVSxxYgJ0hjA5lJV5IztiFCks/InMDUJ6vKxm8wCWzezJ0lcb4Ne7gi6Pck4FASBBZXWAVPMorAT/+Akfed6fFJLlfvvckDYPAAp7zefyZPM486YvZiJl3rfE46JzMCtJuTJxJ71Kt17xmnwCM+POHhW8tk7m/T7HtTVavbOa75Lq4soEjwVOTbxPFti/1oWKjRASQ5kK2hRhGRMVu9RArrMgC4x0mlxKTVRlNBqxrztNQNuuafOwTNpUsFVUJMIwTD1KZzVloLbFmC3OahTt4Q0+UO24GROSpa6d+ztZryLkjypAt1WgvFq+SzWVo/ZGsdvsrzXlhg8uyB8T9KqS1oNiR5FPqNQEyVu2z0lCs/T1dkWlVrPJ1e+mUTJkjwyLX4XYpIBbUWeiHz2XeGe5ODOmFuUB7NnzompbLchS7JEytQxSZlc65hxZLj1wSbfeLzuhoNLzwF8gr2zIi8lRDUYJvv81fRzhnDx1yF7gpUqQC+zkUmzh5mTkm5F4nS3KWSKkSRCohKJEYporHn9tSGvf9mQE1/xGBuZ2hrSbe+IZiTSLCBpCClEbmBnkFH5Gc4clbRWPFvl05Odk71159SKNPCsAD39W7JMfKUsa44hkeWf1iSEsrrIAZ4tNNJVxM5O19gw20Bv3rpjxdfjW8Zd/U+0jPMv54KaouNbmqI+YUKqVRg8BzerXRNRYuzJrGV5tvQq1s6BXpSNVp2Tqv5Wefo9KT2PkdJ16kg/5q5HfH79I1MkVhfOiVQIId0+QKJIy1cZvOz4rM3ef4MkZoFsSqtkzkrlBoiUbMimXrnkjxGFo5Jrcum8cWE0cWzw/YSf/+Eu+05q7npYYnyRQtZ9gcgohpQFlS3JkjU0ee6Fp6tt9nnT1TbT4SK9AAzFKAlbOv8iESVclAflVyXLxLVVHDJbnZNpsqlr6Q9toFF+85Yt27avqHe9eV1fJucONQLzE0KEaFVNQU9eVZWETAbctbKPgrR/spykKepIymn33OdWpfcmqwNLAWVeUPU84C5LFV1J6Lhey5NLgl//6BT3Pt50m/JI146G9NBSUJcQSNJNruzq2u3KPW2AzofkVIcRZTXvUk00TJd0ffFalC76iaxumQxKcwBXSb3yzyysm4sJtOWhp3xWhhMnFplPES8qDt0VKirA/5tcraULocS2lCVF9rMKYEVFdpQvehBrXPxFIizbVCtOIE4sUQKj0GDwOXj0/A/dce9T+3S9FiGQJDpCy4go0YSRJBISktJFVF4SJr7n6qKZaoVdPmW0FEwKMeEnV7bFqEoTuYbmznYYWPOuyoFlWgqbPk/8hI9+forP3dHE1hRuELrT30LKSr9l0d/4TTrmyxpyLdHI6rdL571M5FVATHTbT3b4mHR+oE2Z21pT1KgIiTSKRGjkMOHtNw957rDH+z+kCYO4xFwCazzGpN1VWX49cdkaiy1AmUoIS5rdTJMl+azKTLak5bk2LQ/IpH1mHQqRhrX5sUuxUnJVsg2DJ0csl6WcSYGeGBdQRjGEsWUcuu6e2LqdK/S29T2EEMRJRLcXs9KvY63OfdisuKJShDN5va5yTKrypDz3e7VzYlc9r4A987tFCvCS9q4wuExKTkoZ3AmyVHty28MBH/lKk1GSTsEXmTWYZi2FrWjvNVPzZaCXv/dk4FkB+9rsZ1MEZN7zqowmdlUJrZWlzKYsOStCucIsmRZnSUNiNIFn+OE397n/SZ/bHnd2YeaNIwXGasbGtaPlRSST1mEqXXI2FQKFTUFdArl0dl3WWmZKx68AOghrqyRB6brLXBRbBOwFw2cJnfLuFBDFlkEIiz0JI4nnuem5+jMPjAhjyYapIddeMKJVV4xGesL9cCcg01SrCKrE3FWwV2flTQK7CvDyslwCtyh29lKrdLipeuCT7C2TIsDUEYMx/OofTXH4VIDVxW7JFe2dSaS1pNhajkn5vTKQJwOTNUBeWZrLy3D6vCi+Kuvx1bUpRqYVh7LM4gqRGITQyNBw4daIf/+jHe7/uYDeKP0yRuafK0EzymzgrLjbFCC3EjApqC25w6LSgDIDdrbCi7QmJdfmJRLIgO5mX2alAiJn8YoqALJ9Nisxy2QwbqE7lCR6yE0vGrB9o2IUWvQ9T14CQpNEyxw7fpqbr/WJE1FJ12fLiiydjOL8TSR2yhJF2iIBUpkfnT2WAsw1JYop+eClvsSUzXPmrrgmpd15U89b64g4gd/9dIvH99ac5y0z5i6cE09UZYkSVdYuxx+TzO3eKDVTPw9fr2LyCeekaIAouwUiX5Ir1YbCMXgedBrpQJ5IjEjvSSpVjOG6yyLe8z0dfvOT04SJyJbnPCpMUIxNpsWdTCmDPJcooshyItKkjymxeda6lr6WKfNLHIhzZ6X0vLCUCwclz5yXD1uJAMr4VEow3bC8+UWWd7xxhnWzbaIoQf/Kv3kbjUaTvXuf5dEHbuHMgsbXtlTFVkiR3OYpF8KwGtiykoYtyZPM4y5p7swOLAA/KVOq+zMW7J0Uuryc1Knc08CylvD1BwM+/OkWnaHnPMDU8yZt0nXOSZG1LAfQZR1eWJ1rzCCshGUif12B9BqsvQrvFaAXIK+ydjoVNpMk5SSQcDZiIhXSGlevEivaNcOPvWPAo88G3PqAgkZMXjgCIAWxkYzIYooC5BZXGktuWzrPO60wcCwti4yiSYkiky+yxOjZcbG2VIiXE4ctMXlxPMUa3JCDWzqvoF0XdFZqdM13sH3jVZh+H71pvSSoKUZb4PzmBGM9oqTqzpRBvnZRTFVjC1lckcV7hc1WeV7S4KoE6sp2daLYYdcBPKn63dJZgTLfV90FllLGSB2z96jmf3yqzcFF37XBp363e5QFe5canisgX0ueVKTJRDcTa5+M/IcTJRBFyrnQ3fl7WaJlzWV5jUIsa/JNZUUmVYRFSI2MLLtnY376nT2OntUcOCWwuiywBEiPJAU5EyAnTQKpDACpBpekYCbd/i+z/jJJkgeW5HZh1ilmYVUHUL5C2jQxlDFIScJkH0EisOlnkgKOnY05NS/YMdJ0+grtNvJxQj1LkVaqCW25C3uCsSdBvEZAWdhXVUBXZUp1EyOVypDi/ZLuViZ9PZnMKYCuVIKUMX4Qc7Yj+NUPtfns7Q2sp4p0fCpN1mLvou57dUq+DO61kjplRi/opwr4ytGcAHv23uqalLIOzwBdDkCzzh/H4FJkz9PgMzHEGDzpXJXOWPLeDyjOrQgIRKEnrMCicyYvI8umq7hNNbk1zlGxJpMv2T8hSrKEnNVlJllEic3LQWbqoWeMXejw9N/KfPbyMRcgSqMjIBvb4bYll1HiY2zzbBj5X/Nq6zEmyTVekmRaUEwAuxw0ptIjT8ZQZd+Sh13smFsOEkuVgRUrsLAG87qTrGJwVQFV4ZpI6cDt6ZgQwxfvq/P1hxtprUlmCcqUwTP2LnYNLs8bXLOYqqS/i6q8CS0+QQarUV19b7KWovCMS+USpTayzEEp63G3Ya+sTMRyWU+Vvueex7FGWMkbXjriLTcN8EUMcQymdLcx1hpiCyMDYyMIDURGEFuITUGKcbaVSGUbQtwOaCl5lrcoNBO/5y5KW3FFyvuy5gmcklzOOSM7V6lsTIxh66Y5mjX5temWf7ZRk8jtO3bz1ON3Hh2Owv9eb24iiZ31n/+hvB5FlP7hMsOt1s558dMqS6/8WErWVIBrS5q77G0XrwspYlK2TtLXSZqtjImF4fN31nn/H7U5ueCBrxxzlwJLkYI7z1pOVDSWHaA8mQWU+y0rjF4igkkCz5/ZNTE+8aYogV2skiQ54LMJWEaWGiMk1hQ1Ki7F7zp/TOJa3KKxYvuc4b0/2uWtNw/wRAFsTJQ+T7AmBbmF0DqQxymYYyOIbQH0pPK8dM93j5sAeuV3smykreCu2M2huPAr8iQ9Zyo9wMbE7Nq5mSSJ/vstt9559JJLLnZ79Ph6hJCWufaAuhmw0J1iPFQuwEqryZS0xZJM+aRXt3CeTLuv3n2rsAMrEkVM7IGe74luSsyeAbwK7iygzCxBz0s4siD58Gea7DsUQEvloHaJHae9M2mS91kyUZs+ydzlez6HYzL7N8HclddFpLRWssextplI+BQuiszYfSJ9L4UDuRQ298ZFxuxpPYEQxk29spbEaKKx5bLdET/89h4PP+1zdL60VOVBp5MhMYKRcMEl6Qg3m5VuiEIDZzUp2WYJ5btMbROZiZ5UsuQ63WTH230vgRvsYyR5haJI9UnO3mmmWAjLeGQ5sQjblxJ29EMGwxBIN6G65JKLqdcaPPFMl0ceewZiQ+B51HwLXuaDFx+mnPioJGnWSh2Lsr4u/55d9bxsA4qSjMmTPKnOlinIpSwVU4nMEoxZ6gl++2Nt7ny8VlQJZhnLFNxKku5QXB6DXFSzqRKY17IF1wL+pAX+N72Vu+srVYW2LF9KW3ek05ykES6ZkoG/lOmUwrrWMOPOgREqHZgjESiMMCQDw83XjvmX7+7yX/5omuVh4aY4I16kINfEMpVL6SNpNtOmQVhmEypZfMbSnlelz14QICVNLla9dmDOrMRKVWvaGK8kaC2o+YqZacuGTSOuuXoTF150FaPxoAD41PQmvPr2W79wx9d/fd/emfdunhFs3ZDuTGaLCNgxXLqbrSi2a1ZlwFYY3FQSN6uZvczoJQafYO3cLlRJ+rOS3y2LbKVSMSNh+f3PtPjQp1v0Ei/NVqqKa+Jm9xXOSaWoKgMuxUVcDSzX2kCp4GGRRUl/Q6RPdteXXZTJhpPJevG8EK408i1jbiMFwkh3fLPlX0iEUAhhSIyC2NLyIn7iHT3OLSp+52NthhmLmYzNqYA8pVdIHZPMA9dp2ag16ViJ7ILIkz3FPSuntSmjl4PR8mNuhpf2sxXpcciCeKXA9yVb1gku2TXF5m0Lv777xZfeunj8NJBWQ/7nX/0AYRJEIgkvbgb2HweeoV6TBJ4DeXn4pSwFhHn9drlJoZTAKY91kJVAMv3dkuZW0pRGQlSHTZbdk5y1VZGSz3Q3nuHpgz7/9SNTHD8fFKn4tJDKOSgKKQS1jMHToiqdFVWpwi4s+jDLRVETxVJ58dTEDHORTV51g0WLTbRKU3PzWTDVHS6K58W0piLrW/jzlUwxVFbPai2+pWgDs5VVCGup+YYNMwn3PuNxbl6mVt+EHZS+NqLw1PJYpPTe6j6cgglSP6Z00YpVv7YWL6weSVIMgdVa4GmJEBKlW0SR/tjhp++57+bXvrlgcIAf+P63EgQBjz7yAHuee5zAL837y0cmlK27sm/9/FnJss5eLVsMZXtQTsgRIQqZomSCyOzBNVLx2kt46rDHe35thqcPBFhPFrIkZ3BZsgVtPshncqeGtazBtWRKJbEjKL0S/K3kiq0+rfrik3YheWuhkyduRkkmWYxwF5Kx0llt1mKsTH/HTcgSxnnjCdZ51qHlmosifu+9K/zEfxU8fTANTvLUtSiWE6OJ8+wl+GX7UNoUUE6yZKuiLUmY3CokTe1nbJ63vhUyJWdt61rr3Arl7olxXnocW8LIsLgScfGlV/PiG29iNBoB/64K8Lm5GWq1OlPtGnXfUvMtvlfM+iuSLimbqSqQ84GUmYbOnYhJkE9eAGXPu5AjxfOkJFUKeZLZgQ7chp6V/M/PNHliT0CiMjlSSsdLNxUktwUroK46J3msIatp+lVjISpgz8nsm5WfVHE9AewywrNNeMuNtTnoMwtxsmbcurndxqQrh3CTaU2mx0llSiqlhFAIY0kwaGG57vIx/+JtfX7+Nz16sQAP8mopQ4o6t/AnRhJm7WomzWIaAaJoRs4S+gWQ7UTgSa67s4ugDOxCDpHn9YUl/czpahSDEAnCJkjlMzU1i/YG+XHNAS6lRin/YK1WPzQz3dit5RDfExOedOFtF6BeXQG4mrUNhZsywdqp5hbZ3OuMtUUhT2TJOZEyQYo0qBQJ2ksYGPjwZ5t86utNxhmYJ5gbIZGZLZh73mvss1Nm70nGLq3Y1WROsYSuRvY35/C1nZQUGFDR4SY7zxOMXszUtim4Zc7qwjotbqRBWOmq+Kx1z411ILeWJLH4wvLO1w/Yc0zz4c+06Ee4A1YKKvMeTdxmtYUOzwBcNB+7VH3RCaUy5relAi0m2TwbJlTUtWDKR0jk7OA2hrVEsWF2ukGz0ThUr/sHkyTKP2MeEW3avIUTh+/92paN9Y/v2tmmVR9T8xN8z+SD5FUZ3OVETtnfFumMwFKJ62Sip+pxJ5VCqnIKvnBLTAXcOXvrmF4IH/pck//6oTbnF728trtca+LuosTedlW2spqBrToqmbW1Zsp+grUrPxPfHNzZOSsXWuXvVV5mQ9/LFYUT/niW+KH082zsW1ZDXurGN0ZVtip0I+AUm+YMv/SjHX7kbT1aQew6d22ce+OY9LVNwBqMhdC4hFBoBJGFyJb8cpt65NYliXLPPPXN4zxZlN2LnyVpoid/TLvm48T9N1FsGYWW5W6MCmYwsv7xL9xyz9c2b96ymsEBmg2J0sGXN82N36oSe21/mDgWKAU4kxnHcr22EFU2F5OMXnFbMnlSZvSSRBHPD+6sv1LWLJ/7coP3/WGbs0tpMmcVe1czlp7IuoYK56TieWeAnmTuks9dib9KPC0m3/xb3soZzQL8In9j7dS9cy7cVCnhttEWBbCFLTxxITLWJn3M5IpjcYwmCi2bZxJ+6ce6LHYlH/9SC2oZg4uCyUtSwiKJ04/sHBynxfNMbJnBRUmbZ/UowpJ17WdpfZuVFGZfP+vqt24Zy+avJMYyijULPfmE59e+PApHlWMqyy8uuPRNnD785XvDcPwIqDxxUzB1ObOY7apgqmyuynUi1U6bogqwXE9SYnRhKsFj4XtXwS1lggoMB09q/vRLTc7M+wW4xcRdSkSqub30wOq8OGeyoaFUQ1NmYyZfpOw8ob//hqokB/M3/XnJ+zZlWVK+EPLHIqtZqTgsDQxyaftyOr/K4olRTq8bRRxKNq9LePc/GrB7ewhhkjJ2ls6fYHXrklNRmvV0qX1BlDO0yBndsXPpdfpenIh81ENeBlCqk6pkSbPMp7VYY/G0YhyOH/nwJ26795+9843PD3AAGVyEDC5mGE0RRu6yyZbyyf5IXU7DZ+PSJtLx1dR9WYokE3IkK5IqXwjZxVBibpmgfcOh05r/8/emuf3RmmugrHjdVWmiBfkYCC1Xa+21hvlUfqc8uGhSppAN+hElJl/LcSGvnpt0SbKrYtVIhAqzi1yqlIFczE6p/qyy7w1u2bdZSj+TJrl0Lh+HWwAAL3ZJREFUkVgrSaxL5RujMCPB614y4lfe0+HCrSFEmTTJUvoZyKNCsqSp9tDAOJUsoYXQktewZPIithCXZMvk6wzMcSnVX07zOy9coBVsWlfn+qt28JKrdqwiCj35xs6L34BUKjxz/rNEvX3p5prpDmbS5i1jquJ6TLgjpWRQRYKUHJUs2BQV18QUAacwiNQarDC3Zzh6XvMf/ucUn7q1QSjS3ahyxi4Hlm4QjRblOu81tt8WdpUkYQ1wMgHcMluXyH3tW/mHa9Wj2CKJUdHiaYleeeOn6u7IIv09mwZ6WWazaISQxoHcCCdhRGYvGplmRW06G4VcssQGajrmXd8xIDHwy787xbHzgXNWsi+UB5+k/p1zqgySKH3btwJt3cBNLdwmVRJQppAtRtiidjy1DaVIt0zJg1GBLLnnztBxm41ddtEW3v2uN4VxnPDvf/avAXituY5Wq/FzW7ftuOLE+NjNwvTId1XIg82MdW0li1nV3AWAK3UoovxzU7IVCzdFisQ9ps/zpmFtODav+fnfmeLTtzUIZZp9Emvfi4xltUowrzmZlCZMBJusAfaS3z3pqlSuhL/lbQLX1YwmE5LEZoxvcwkjJtg7e0+UtLirW5G5fjfZOFhhUw1Obh0CxLHF0wnf/6YhWsEv/M40x+b9YgLQZIlf5ftIYvdPunOAa3nUqSJwfj1paW/Ru1kE/yJtmrD5hljKuq1R8sNsDe1Wk127dt2xc8e2nxsO+qs+xyqJ0m43OXHgK911M3pfsyGSYpJrUtr+ozr7T8uJSa6pXJGr9HdRwy1VCmJRdkuympLSsJ4U3EIlnF6S/NLvTvHpW9cA9yr97Q6gJx176xJ7rxo8lLklJfkCJZBP3NcKMLPTWtHsfwt0TwaYk7548abA5L8rioFMKZjMhEQpl9Vmv5+UHBVriuGd5Ym1RXmtRMfwzu8Y8p/f02HzbJROaC1r8rh4nTssCaTzSqJUsoyMYGydbMn0eWSEK8OtvKb6OhGV348zZ8UKEuslRtT3/cknv9ZtNFurDq1e63gLAYNB/z1hMnWDoX+dlFG+K3AeRJaSMxWXJL+bUt148V7hpJj0d0pdPKkcEaIKeKkMsSf4w8+3+NRXU3DL59PcsgC3WJ2xXDuozNi4AOha4yGq1ZSrJUyeyRTib4vvajZzVVKn3LZmSz8rbMJM3lSyndnP0jupJy4glSZOWZAWZGU+ubEWjNsMAenki04M73rTgH1H/n/tfXecHdV97/ecabduL9IKSasOQqIjkLHo4IpNAsbOe07Ic9wCTlwSO3HwS4if4wTnxS2xE+c9jGMnjk2zYkxcBMZ0sCgCZEmorwqrtqvtt8zMOe+PU2fu7GoFEjLknc9ndafdq3tnvvOb7+/7K8fFLbeVhWriWD+CSYqiQo1qWbbcj7iY6i/mYja/iAAuBA1RVIVq55/oLEIVXDSyqNDCKeEIAoLujuILY2NjN5RKpcxzS7M2nrTwLRgZRdzWMZ97DkHgxfD9CL4XwXcjOYlqZOZ2t2Yp062KrVwRsz2pbWtnUhcqJMFNJbjhEqx5LI/vrymgpqY7TgDaEWdbckCVadZATYg43Q5Jcm8KkzTfwLsta50SUhKAVgc0pMlOB9zWganEwsZCCCuSqfPGE8fJ7lfaCbU08gYH1WoHZ839Y+vjnDmyaILCjznefcUELltZAVEJ3tpap/9sSy4Su7l0JmuWRa8yghojxilVf7F0VGMi/4BqBFQjgmoI1EJBp049ZT73nTC+/j1XZp5fd7ITv3jpSsRR5ft78PxiGg8WqcNSVhqWtTb8GrCWSXJZvxdc0xOxP7Z4vAG34zIQF/jRIzl86qtN2LgzkAXDWXJg0nr7pJGaJNWRVDkaUolLGrPJqfDUAQlungLydNXCBH3NpCeWBg7bsUxp4qqCnSctvf3KEnwcIroJ0QWAMSJcOMJlrorU1VnyNxEAy+aH+OLHRvBJB/jPRwrCijvpX2rlBXJqjJAsuuRE6OYxl9eCQ0+xoiPMINZTlssJtJSxIhgLgRkzO8dXXXDe90uF3KTneFKAN7XO4nu3ffurrV09N8TD64rUCcAYTURLNVh11M+AHdY2SpgGuzpGBXp0sEc6mIQwTUuIC/zw4Tz+7GtN2LjTF+CmkzmV4kQSabldWDMzKAcGaVBPQTeyVBUgZcGTI62HT6l1c2TfATz5Rjtcb9YN2NWNksgZB9e51wrQKj+FJBxQCiYnbRVKCk18CUKpzHHhIEzykTpwSm+IWz4yAkqAHz1UkJzOfvY40I4FYWJdFVOC6mWuAlIQsxuqc08hos6qkFiBGzCVQARVnHZm78B9T6z76sffd82kp3pSgAPA3tEzQPkAmvETdOTHUQ8D8bizr6NOy+QG9Do9MwlqbcVhcXJqWXESi7vVYYAL/PARAe5fbcsK5FiWQVMTE9BxMzi3mWWCpzj2FGBP/Nak5c5IHrTQPn0enhYitLXW+w0P183y9XHG0Ku+fWKmsyxrngz1J1UWKt/LZVBIUmiZuxIzXesPUmdYNi/E528cAefAvbYl540cXGyT7ZtF2ytp2c3J5FwAHlx0DIxSeffq3uEc4GEdy+ZFePdbZ6OnqwUff9/k53ZKgO8bWVCbWR75cHvHojtYZX3Rdeu6glu1NEgAWVps3TYAFpil0KscS7Hd0BQiaQmRwvV/PpbDp/++CRt2KnCnAJ223tQ4lglwa6ttStLsgoYGq43kq82rk5Y7dQGI2WZWjwxx6TM10hNYqgqRO7R0yBNW3K7fhG3NNeiTVlyAlqSsunFCVXceImVEIs8dU1P2wQHqMZbPC3HLH4yAceDHj+UbZVLOZBYnh2yoIsFNDMi1hVC5seJ/EC0obCuiq69BOcdJPQvHo9j5cFtLd22q8zslwN+6Yj8jzilr48o1IxP964uUVAC4iGMHqhbDWHELyDAWHTbokbLs2nJLK+4AjBL85IkcPvmVJmzcYYN7KmpiAjp2CVq2cpK03ulAj66UJ4Z/G7A3TpqUAHyajKudqW0pFmLtkNY5JS9z+y9hlS2nVFtl0ThH1XESC+jcstacMZmiKtJpiYxqEirUFFHMDK2igKo0FA7CHaFJ1mOc2hvib/9wBJwTrHk8h1gFGhQP5xKcKiKkwW2dmKx1WBZeAZxF8HmInB/gQ9e9aaSzff7a5zePMUwxpgQ43JNAHe/QppfYtQ89edkv+nf9xPv0f68D8KVcY0mCGrzWtdXrJgKlAE4pA6DoCQOR4P75UwE+8aUmvNiXAW6VDmWvyzi6SqZST8q0Q5mmHlmWXN+QCZAn32eDlVgHZTmZRzNsECe2WzuSZ9PsF493tZLuhiU4ubLiXFJMXZjMDbgpVbO3yf+FGuoCBhAq6YvdOKfOsHRuiC99fBgfiYBfrM0hRgzdDb+hmWeGS86zTqyy6srqcyCu4Q+v7cdlF1wadnWMXzurq+lQZ2thaghPudP18cBTu5HPn7m3tZNtz+PJJZwdAOdU0gshEVJHatrqWsQG0oavc3ODasdT0RMC5hCseTKHj/1dEzb3SYdyKkpCZM2XBe609U4UMyDDesOy3khTlsa2a2ngp7dN5n0eUU2ZDPBc/Ae6jXGGSiJAbjeDF08exaG1FSfWMlLKCqMglFmBI0FVOESkEYyAUDGzhH60MPOraD3G4jkh/uGPh/HRLwL3PxmIzttE3Z02wAHTdJBYdzARhl6BnRBVIwlptgBGMFbrwumnnbl9Zs/ivXG8BYG/eMpzS3GEQYiL83q/13ftqoEPXHflmRgZy6MeeiAAglwI0BAjtRDDtRiHazEqUQwvH8ILxGwKdjTSIZFOnCKUCZz6BMwluH+tBPcuH1yDWyGOIql5m/1Eg1tlCjZmCWaWnQFJq55hpTOdzfQxKVjaYXyxf3J4Z0YrYV1zJCmI+h8UIDjUjHjmmKTenV63dHGodQpbFzezulGZpWj2J6KcoAnHFXVg8ewQX/7EMC45twqqMqg4E38spZEzqwdLPQJqIcpuDe35KtrzFbTnqvB5FaiJRFzq+nDcAIPhxfju/bkPfPSWx/scx8GRhnukAy4+eybqtXF4fqF/eLDt4cHRPau6WvYiF4TYtp/hF08FeG6jL6srgJ7OCG84p4YFPRHmdsdwOQeLrRtGXQ4CUJ9g14CDx5/1cfM3ytjc58taShvUjgX2pOZNYMuBpj9dmm9nVcc3pMWm1ZMUbVE3k+bmKXDrddu6H/H0J8GuI5rygxJRS8vYJWRCYlERIq25ml8TqjGQ0LsFqLkJ4Ut5UNWQqWgnQEFkQ33IXt6qVzyxFBkGR9NrymKQiOPkuSG++kcj+ItvcDy5LsCuAUdYn6yzEQnpdk53hPmzBG5mdUT6Bly3McCDa4vYfMAFBcfyee14z5uWPfwbb17ZPzpeBSH5I57XaV+Dl/qehOMWrx0dePCOgf678fxOhjt/XsATm/IYGXTlxWEo5CJ0dkQ4dX4db1tVwbsvq6K9KRYgty4e9YHNe1x84dYS7nkkwMEhF9xV1ENaaV2dk5VzIrTSgJj+Ji6BqY5XhQ2Ksui2zNDbqb2NyCIIVQhBid6X2CYr6cU+ot8rluUUJQSgjqr8lsdY+9V3SExh4lgTXqmq/kTngtRrugDFsepj7c4HKqVCZYHq7M1U4QpRnQtMZRUhdjcDKwJtF6OQSEq9sUye44ALHBxycc9jAb7wf0vYstsVkTdNSwDEHG1NDO++vIK3rqpi2fw6utoYCjkCSA1/aJDiyU0e/v3+Mh5b34xrrrgCV192zruGxyp3vvmyFdPC7REtuBozZ/YAXuvaweH+1d999Jyrv7l6F0bH8yKbqYlAeMghJqIIffsi9L3k4pFnfOzc6+Km3xtDc4GBxeJ+ogHH1j0uPvuPZdy1JodqTOUJoJZjIV9BzLrlaCrNO1kZbyVOad6dUklgcW/YXNy63e3QOwwnT5sGY7WP5GVOw47YFDW9qyEyCT2NjFZWpEXWiVdKTZF4UlUyIrM1We5GpMSY5uKqMsjkoavAkHA2OQMYlTUDSqdnMUgEdLdHeO9bGQIP+MuvlbBtrwv48htHQHOJ4VPXj+HD14yjuRCDxxRhzcPEsCd6tnCCnMdxxVkxzpw/jBf6F8Bt7l3dOWPJ2nJtcLqwnT7AiT8b9zy4o29R76qP9h3a4TiF+CpCavAokTckB4sjAFVd1jRS4/jGHUUAwGfeN45yUSRabdvj4eavF3HXfTlUuQ1u5TkrUKeDOpZqAivPG6YJo0q5tGlGAvQUSRpiv0og281/MhOsYO1L3RdHpaBkRjMFx050ckoBP5GvknBEU1HNVB6LAifTqFcyopnYlVl0hTMq6n2pCLkT+WW4lBFFMMnRy0wCnTAGVgMCl+Pay6sAB27+xxK273UACpRLDH/2e+P48DXjKPsMcYUiij2EcYAw8hFFooWzOKcMlBaw4pTue5pmn/VRYMsuQk6d9ik+Mku3xr9/6ytYeclbhs8+ddbyvl37Vx08OISOvIOiS+ASghBKUpLOBAVqdWD9iy5GKgRvPD3ES4MUf/4PJdy5Jocap6KtKyHiq6Sjk4qu2LkmEI/4gJiusK71aE90qdJdtZINfOy5d5JNfADTwMcSawjELLxEqiva/1XzsqvGPUQeZx1LVAsHez2drYgMdSdjm64sIg03byLzEeqJxCf1Leynmr6vLOc6EaUlZpv2M3TqhXkaIrEuHh++w3HywhidbQzPbPAQMeAvPzSOD14zgXLAha/JHMTMQxT5qNUDVKp5VOo51OsBOA+RK89FrvVNd4eV3Xf7hfOPBrLTt+BqLJzbiaWLem55Yt22+eH4yLurY8NwKMFIjSIcpxgFTXItBxipEXz/njwWnBRj6y4Xt/8kjzCRpEOts5+21sqqG2riIR3I4brt2qR1lpjsQicdyoQerq9zFmUxr+nxcmoeEnq3tthSMbGdTGJZbq2Bc0sV4YaWZFlxKR/aabUE1nHEUlMA2HIilxNgGTlRFC0z+Uo4lVZduuGEg8UC5O9+cxUHD1Ns3eXgPW+voBxw8Ch5jjmnCCMfoxMFjFcCcMRoaW5DS+7k7+eaz7oFUd9Rn9cjyoTpcd4Zi/FP331weMniee9b1JN7ZE6ng9kdBDNbGYAQiOrCgitRk3MUXY6rrqjiNy+tYU5PjKBoXcXEVyHJvwTIBaKo4t5IBXQkuJPUJGnB0rp3Aw2xLKOtiGQHeqZG8VFjPPWGhPSXWE/Wbpqbg+hgUEN6bea6VRABS0q0CiGyajvNNmrkRE6EbGjvt34QIUBtnGDXSw5+8PMc/uO+HCYioqPzIAwOjRD4dVAaoX8gj77+IvoPNWNgpOuR5rZ57xvu//Ew8aZPTdQ4Koqixpp7vovPfPIj4blnLH7vyODueTPbQ1x05gSCYD+GRyoYGZGhr5Ch6HJcf3UFn//9MXS2cyyZH2FshOCJdb7s2WDLgnYApzG5imrFRKbCyjpRpX/brSCUaqIVCdui0yQfN9ydJI4h+lUC31JWFFVR5VU2JaF635EpCiahJCS9DRnUBiTzqUQJkZFleQxtvKFtmiJAxs12uW7n4jREeuX7E0ZDF7qY3CRQAhIQfO3OAv7+Xws4NEzx6Ase2socS5dECGR3V0oZ9hzk+NnTPu5+sB3jYx78oA1nnfeOrcPjTbfOmHPJy4Hq0VMUNU5evACcs1/Wxs9aOX5oTX7R7GH81psP4TtrKD7+xWaMjVMs7Ilw1cUV3PR742htisFDoC1PcPWlNTz0XIBnNvn6xCa5gp1plgzHC2bDk5yaGOs9aYcq+0IAGa/2gcbyAEnQqZGmLzb/TaggR2HKbeqRcCztddsiEztUn4pyKtpBpC5O7fdYqgyDaLtmJ2fBpNVSGeABAOKksxIlJUlZdhATfaIO8NR6D6t/HuBwRThMQyMO/uKfSqiGBO+8uIqFPRFGxgg+950i/vUnbehqjXF6L8P5K5dXOrrn/ZLSoyYarxzgTU1lhPWJm848eyW/+4dPf/zx+3bm8l4BO/fGQMxx3qk13HzDGC4+vYbA5WChea5edE4NN1w3jj/+souhMVdy8bS5sKVC6ImOXAvo6QzBzIQqoMGhmxzkSYVELMtYpJ1KgYxX+5Gcie8k0hXYjoh/S+pLqC4qMcsGPlE9CiEDO1znqSSpi5WbAtGQE5zJgI5wsvV+ffOYZKwkyE2qa4JGEQKHchwepfj67QU8/FTONPSkwMAYwU1fK2PNoz5uvmEMpy6MsGJ5HR0th1CPxjFvzpnVVave8GXA+UyxWHz1AQ4Anl9gN37uezdPjM8N9+3lf+rxDb5PhvCuy6u4/jcquOjsGlDnonWGyjFgHMQBLjqrjrMXhbh/rWtaEShgK6BbXp2jeXe6/YNJiU2DuKFaHmh4WEwGbm0zbCtuvT8xjrQ+jZGVPZg8IAl0vQyRMOWoRweBTLhiiTzyhpI36WCCQDfP1zeDzkaElBHt0L7ldFrLKoeEy7uWgAMux9NbXDz0TGB4ojo5lKMWAj99NIdKjeD6qytob+FoLTpYPq+3vmhh6Qte8Y6/IoUbpswWPNJ4RQAHgPN68/WIz/ubwmnjdR7yzz6xIaSnLeY4bWGE8TGCgsNF/gKTEh+JQcIYczsjLF0Q4oF1OTPXqAaIlUUGoq13egZi5Vhmh+aTXHGyvJMsqczwVGK2W/v1Ymq3XuHIuAumALc6PGGhk1YZxIBe6h5iWTK8BE2xaYhatmkKuJRzzVR+IqQvUloJNe9RvVQ4VaBXhckG5DofhZuTSQjAQoL12zz0HXSlHKykXkBV3RfLEZ7f4uKRpz2cPC/Eup3drMKWfraz85Qv7tg0UH+l+Hz55EaO33nvO+Hld1byrbNXbzh4CX/g2S50tQJrfhngH24v4dCwhzj2EUY5IeIzD1HkwPM4LlpRw+yOWJRwKHQ0cHGjnJgSJtPfLgn2bPDaMmG2ZEga3qMxnaYqjZDWxzXsnQ7G+TSOgWWcE2oI0dbeLnowx1jqCKzuVxBgTHbKSlpuJkvJOEslYmWAWqjeVGc3AgTU4dg14OChXwaI6mr2BA+gAeDkAZJDRzNw47WjuHxFHfsO5nHBqT7+/ENL+bkrOlYfiPoq56165yuF5yu34ABQI4uxv1beMmd2zw3/64bcP3bk/4N+4R6K+54soeAN4rcuE32JKI3gcQricoAwtDUx5D1Yd779J7MFcYRWxzDBGztIYu/TIk36BkDKOKfIc0LrTjKmTOv9cvTvLCAnKIqVbSoaTvJGSy81Z0ERuKEZiVfxIVwm+DEqqImIbhJdmylATgXFYaJ9g3I4VYRTWXEOIhxSRsEJMzeMFAeqIXB4hMr/zAGoDzgBCHEReDF+87JR3HR9jB8/4eKW77Zhx+CF7Jw3zL8hKJe2AJVjAc1jA/D3X3Mmdu/cWffnnnOru/Opwp33nfSl57aOo6e9GRMTeewfrIh2zEFNSEtUTCHNYjXprOVgJjh40no7lvVOO5PpYmK7Wr4B7PZDwor8NVCWBHgtVGV7kcnjX8kJtQFMUkY+paik1RVDV2TmoFqXn8IkR6Zc7ZdqCZHXQoXwdVBHzgrB46T1RsrB1E8Ks6yivOKkuoDjw3F9NLlAWw4okC707WnCop4BXHVxM365rfhH7y1ffOvmzbviJUvmHgtoHhuAA8Ds3l7sP7g7Lve8a5vXsmB04cz7ynNbamgtNGNgyAUlBI4Tw3NUuZuxqgYSlrmFnVCV5N6J3oIqHA808G8zrUojgDMjmQnLrqYHNN9vOqB9JcC2ki31utpoW3ZFSQixo5vKeouyNR30UcqK9GVMqZsI6ECVYCqwM/FLGYXMP2HgjAsurpOzZCCIyKQrrl6F5VflZ6Y+Qj1CHeQoQVvAMKPEMTKUxwNPFbHitFbc+N8uHeWFVdv2H9p7zMANHEOAAwBxSujvr9zzjktX3NjT5Hx5wwuPtOWDw9KBMVEzIs/+wDBFJUwlflgOJiUmYqmsd7q/YGIiJgvgdsJUdldYceInoywKrXpbhgG3J0c6XiMzHwsW7zbsxFJJoPmwAi4S4XyAQfQaUbKiaA7IpSVXEqGy+HKWCMISvQ6JdjShysuNdWcEBY+jrSmG1iPlNVXzPY2MhRgca4fXeslgW9dZH6tMVO/xi0fO8T6acUwB3tXWCgAYGxv9zkUXXuD2dOKWA7t/3lnIjcJ1Zb4wYfC8GAeHCG7/WQG7Dnqi/bHm3SbdzzSBybbMiW00GRFsKHBA2mIT43AChhWRpNOpQabAnYnmY4jwVKCnYZ8028knn9UjBZbyAuk0Qk0iK5ZFequRBFWJpQK1yjyELEbmegqUlJOprDikFWcUnAhnMwwdzOmo47orJ/CL54oYGGOAxxBzoBYTjFSAWd3NOPvcVQeXLlv5J+OV8Dstrd3HEo4AjoGKkjVKpTIoqd928qnnfXrBgvkHc8EE8n5VUBQvQiWK8b2f5fDIs/lUd9hG6+2SdGIVJpUFTRYgt8Lo2dbbDkPDAnPiNYvGqP1TYfpl4H1KMcXK22m00JNo5jCKivqMdCqt3STfLmdLN89nqX3pErdkazjRtJNxMXX4qjPq+K0rx1Dw60AUocY4DteBUUaw6JRTDl606vxPV6u121payscDiscH4AAQ5Jow9NI9t+Zywaf2DM0Y5DyCQxkKuTo27KS4dXUT9g3kxFyWiVRZgTitfScAzLUW7kymedNGzbvBuaSkkZaQRtD/ugwdwrc2ZCZgpWRDraUz069Q69s6ucqSB1nqBlC1mBrQqmm+AXkiCQt2z0OKet3FzHbgfe8cxbLeMaBWR8wYIs7w1ouaB4vl0qf+6d8fuLWtrfm4nbuXlWw13fG3X7kLC8668vkYLbtnd+WuLLh7gz0DET73L614dEMTYldNGmXPreOCUAKfAoEsP/OoasAPMzOxXWamrDflGY5m6pWSDLqSvglIw/5Ejnc6HzyRbKVeMxKwJv3sSW7EKfY35oEj+SSyHlW2WmQHsMTm9GNJknpiNtlPNfGeZNam6JJg96dUxIkgjhy0lwjaW0I8tcXD8EgOl589d/S339J84/L5w/923dXXTzMS8PLGMeXgWeOtK4oMpPx9l9Bo24GJb3/2tl3BT9d2IXQcALLzqD4l1CxZikmjxeYJSjJZFLMR6Bngtq8rMepJOrlqsnFcDX2Ki2dR84bUWSKceKV7A2pWBZlEJZv5UIhADhgHpWYZlEB33pR5U0J+kU07uep+BTFBqw4OET2lOCCb63OKMCYAd/Dmcxnq4RDWvLC02t0+8/3bd7fc9eymyisKw09nHHeA9y79bQwePhC3lPOPDfL+0ZDfhe7inmCUuxiqEiBORWOJlfNtAdvQFW6st7bKU4Nb0xJkg9tQFdPkUX0XBXq96Tghelofm84ytEL2+hCbkyvJEAbkkFJgAuQ8CXhxEYREGDPo/4npc2RmjGBUAFvRo/RgsYvRiRLGJ1xcfPbsas+cjvd+4rae1de17o0/87Hrj8/JtMZxBzgABIVOEAf9nTMWLL/srJNWLerCt37w8M7CUD0GEAnUOJ6+ggSwWulCz6KcdigJSVbLTwbuBlqCbE1cjzTabLUlNTKfr5OpIEc7Mj5DiywN1p00/Asrl0VmmWSDXM4oTCmSIAeFQ5nQxmXSirLggo5YLeB0HEMIhq4T6ar9/YM+DoyfPlHz5v7uZZeN3v34KTt5cdb7jxPakuO4OZn2KAYEhJB4zY9u3/fJz991R1N7y/uXzOscXjhjHMvmHkbeq8A0T1GRR24yBmky2UoXNtj8m0zyp+slU1Y7BR5NVTA5NhucveMxpnJwp6JNiqpYSolyMgETpTTOpbDAoo89Sf5Jh1NPGssJ4piadTUNITcVPerOIwCoEyOMQqzfGaPvAEVr+4zh3jnB+89c+YE7Hry/61UDN3Ccncz0+MEP7sIn/uQjuGDZ7PUnzeh86ZPvbb7wdy7vK/zsiRoODBcBxwUIhUsJ8lS0JvQcDs+RlTtUqIoG9HxScJMscKcdMtvSp4M+Ni+3w/npZYvfv1Inc8qIK01Troz3pN7X6B7CWpevJGvdPpxYRMg+3kzWpXqqqDmYfC/Cpt0RPvDV5XCKbxmYP3vJx/YNzf03r7YIy8/98KsJuVeHotjji//zI/giAB4PfBvUc/fv6vqbYvEXnbIpNIgnYp06B4UYDdxNlJ81gptQw8tNmZjlMNrghQXiKU2jGGnWofu5p5cnOX46Y3LDzTPhmf5yKkqsnzJEWHKqTKuVcCUcbg4wMY0fiEi3pYBMTFH/kfhwqh95kuwQKnKJZJKVOJ8cvgvEsYNicSY++J63Hbzqssv/NAzDb686rel4wOmI41UHuBrEacfA8Pg3/dZ3kPdc3fbXTeWfdW7u60ffQBOImxMTzTpcW3A1/bbi3CThZNqWm5h6ygxKYgNdgxtTMwPdv71hO0/IbBroatPRoJwjcQMaxzf7M6b8rsTKYwFkCRqXFUTinZTL/BJ5brg8j6KpJtfklct1TqjqvALTJBsglMKVqorv1bBtb4Th6nycfvrbD/7+uRd/Ggi/SZwTA27gBAIcANqbixgdmbj1f1x9fvSmFfUvPff8na1//LVxHBrx4eeAwBEWwbWArR1MGKttrDhJJFdRiRAKZCoiwBGcSyCZrio3cGJ9irKeDRZ9mugmk4O44WsR+bn6ZuWpA5Lf24rsQ7UFVRmHsfAHTRoQIPsMCqsODlM1yMS55RBTdlMOcOboaKonp5Q8NBzhWw8swgXnXXvYb37DJ6PI+xcvCF4NKE06TijAAaDcVADn1e80NZ8/mMv/asE7NpW+cNtd672c46DgE7hOMiWWwAC8IYBjqSuJgmO5cDSUQSkVwupxDRC1U4MHKUPN0dgRw3yiXstyciejyer4DHqc/d1T+eKJ7fr/Ihr8hEvrrR9rDKAi4knlDS3Oh2iWTxlHTADKKOKYgiBGuRCj1H5JSHKdn1q4eOW2gYn8vbM7X1UXL3McLU08buPeB1/ArO52f93GHb+7fsO2rz//zHOERRVKCElwSm2NYdMPkmhmqTpUNVATOaYjhDQ4eiAJR099frIRp5wJjBLdWkI8VdT3SzXfJKnvLLcTu+UFSebV0EQqgjgO6rtm/jJifrO1m0h+bZ52yWaeVFNBbnAvj9PnkYu6zlLRZfMXncw7Zs6/ISgv+BbYoTpxzjvRkGq47id8PLZ2IwrFXP7FLbtnb3lx07sO7N/3ue19/Yhiqi0mldZEoV5xbrsHiurwmg5fq7fZF3sqsCcVDaOYGPAaKZJYIHfs9ekA3Hae7ZSDdPoBtZ9mqb4lGb9Ez9lj/Xb71f591Opc6zhcKlQma1GdM5XMxhgwXgFKTT1oa+/4zIKFC+4oNs/ZHYWVSnP7shMNJXMNT/QXyBr/8q93odDc6YwP7vnzHbsP3PT4MzudOKqhEIhJXlWKp5r1VsuHVFhPR1takrhAXL8nCfREeVjqzNiWXAOZJG+stBXX/Q2PBHAL5Ml2ysJqKwtunGhpzSlP+RXZtym3ootKBzcV8vL3SSutHHjh3EO0Y6ZM83aVZEUIR+CFCHIuQrIo9vLdf3XG0hmf3b5rMD73Da+8hvJYj19LgAPAHXf+AO+69jfQ99LAX93+Hw/90fp1TwdRfRT1eoQwIqhHcrpqSQlcB/BcBXbxavNcc1PAJPlb+c+TBXDSurTN9RM0RTfuTIGZTLM/uN7GE0A3NwG3nh5Gg1Y0Iz3sOexVei1jcj57ZtJtAXMTuY5UrlwOz2XasY85EIYUEzUCDgfdHQUsXba01jX7kr8L8l03PfjzH+GiS99+oiGTff1O9BeYarx0aBTNbogao3+9ZduOlffe+2M6NDKxcsuOQ249pogZhe9y+C5B4AGeRwzIJZgAA2jGOPQM1DyjX0gGyBsz+izLrS21AbcBMLG2QVOXNMCdBnrFE2BX3e1MSgJPUJQ0uA0NsXuAi/WYAbFMnY2VUqJyfRxocPseR86L4fsxfJcjjAjGJjiqcWfESOHxVRddyWb29D4ehvTTpWIE4rSeaKhMOn6tAW6Pu1ffi3zOK+87OPrPz76w7bqhob10x0vjiKMc2kpAPiDI+QSuC7gOgeNQwYUhLH0Uy79I8EcmAa6qWZhEuU1bbK3cVmcSFMQCuJOy5GlwK4AnLXaGBScpa04NhSAWVbH1cvt7q1xwBpPjzSTAo4ggjAii2KgtDgFcB3BdAfCcz1DMx2gt11CpT+DwaCtm9fQwr7Dg9hhNHySoj75h1dtONCSmNU64TDjd8ZtXvw1Pv7BjtKc3/weLF/Vu3b3r0WX3Pz189cOP7EFr0YHvufA8Atch8BwC16VwHNGwM2YcJIzF9Hc2J5efzTPoSpqjghGdSapaopmeDNBaeEKiAzCZF0smeVX/p5kKHUbNsNQOraZYv4Fbn6RmAtQWXueiAGEM1OoC8FSCm1kUjlKKIArhuxNwizOxr3LS6tkLz18/t3fGV6oT1dF8eeGJhsO0x2vGgttj7YY+NDcX5659evOXN2/cfPWeHRvAown4vgPXceA6BL7vIPAIXJcgijjGJiKMjEeohRyMJemJst6MJ7m6Aq7NuQ2tIHKWu6SDqfk3SfJu4ReYYxwHmhpomuKYVGAzVw+Xx6Tm5FFcXJ4TxpPW2szWYGosY0ZQq1MMjxGMTjBEsXjaBT5B4AOeA4AzEBJhZncBZ5w2DyfN7l1dbD/5Y6w+1ufklpzoS3/U4zUJcADY238Inuct3Lx5+2lxVPnorl3bLty48UUcOjSMUtFHqeChVABKeQbPZXhhe4x9ByPDW1MqCmOKpwuniuk86KRG7SQoRsqBJDbXTvLuLIA7GfTE5uJG2RDg1xKeBX4VhGKaX5ME2NUtoCKthHC8dJDjV9sYXAco5B2U8i5KBQLfDeG4TZjduxBLT17wUGtL7iud3b3Pszja6uc7TvQlf1njNUNR0mPWzA4A2Mo53wpg/ZNP8pkLFiz8xgvrX1y4fetGJ/AYmoocMztCtLcM4f71PvoP++hqEipLg/IgQc8AxLFwRhXbcDiBoykLl+0SUtU0sieJWOcJYKlXFSZviGJaerb6KslAFtc5N45UO5SkJ6KpDHGsGtEnnWWdB0hFZmZHSxWVcBy/2lNAZ8lFV4uYWa1czGHZ8jPjGbMWbx0br3/olGXn9QPYnN1F4LUzXrMAV0NegM0DA4Oboyh+k+P4sy5YefadG154rMmJdxdndx3C2q1j2LCzFc2ucQwTfbi5lPwoRxSLeUlDMf8oqAQGZDot0/KcGJq/Sz7MeYrTE56Q5Mz3bkwC0+DPCNNTWe9IidSqXfFkUpHFMAKimAorztOPZmnh5fKp8ytYND/CMy+0oKuthHnz5o5fecWFI54TXdvZNXsvobTvtQ5sNV7zAFejvb0NjPO+rq6O3aNj46cWc/z8QrDinwcH1pdefHRjS8EZxYwWgpYyMFFlqIViRgflBCr6EcbAcIWgWgd8lyNwZf4c4SKKSrP9Rp4CtNLbTW2kjVwx7KSwRAdcNCDURBwdQVN8l8H3YvheDM+LUa25GJ1wUa1TSWUAE4rnqFa5aEBPAszNNeM9V/ij55523uAZS5e75QL9wNw5vU/kC8VhAOz1Am513l53Y3ToJRDq0lzlPnLYf8f1h4fGPvHTn95XHzywh8zqnDj52Rcncjt3T6CpSFGPgCgGygWKlpILz2fYPTKGxzZ4yMFDS46hEAA5T+jtvisCSp6UI9N5L7b27UjuTSmB61C4jnB6XUcoF4aL80Tgh1j5Jypt2PdE8CXwGHw/Rs6PUQhClApVUDqBxzbkcOBgFzwnQGsTQ7kQoh4S1EKK5mKIoYqHDTtK1dMWlTedsuQkb+nyM75TnHvj/37mwX8OujvL1TCMWO/cnhN96Y75eN1YcHuUW3oAgB0aqsOh9Ju+V7/Ncx1c9aaFTntr4estMycWr3t+7xuj6kFnYHQU23aHcClDT6eHs08m+NCSw/jrOwlWP9iDvEvguxyxlNI4IPmycSSTuS5mKhHGAcIUTzb6ocn/SBZr2PREqTkEqje34uEqnM7geRHKxQpWP1bDLd/rwIq5HMvmx2grR2gqV7Cz30Ecd6G3oyPubprxCG1p2hxHlRtAwtjzCqjs/j88X54/caKv1/Ecr0uAq9HR4qtFxSqiwcGhD775Cr/13LMGP7/u6fv98bENca7QfpbDg7NbysNw6WHkvRCnnhTiznqEiIuUT5tyUMjIHyVWy2HZilhElvR3IITI/GmAOxLcqexAOxyvFB4mbxDOufYZ9MRSVsJV4NXwqz6CoWFgeLQKjgJ6errh+ONPb+qvPHP64gXO8nMurTe3tP3ZGfX64WKp+URflld1vK4BnjXa2loA4DCA3weAu+55ABe/ERcijq5sLVWv7WweXlLq2A3Hew7lUg4eqYHHIaoM4NyB7zqgFPBdisATGkUUc4QyQgoI6qE9TllLTQiHKyuANDVxuJEgHaltAyKdIFaOrqik8T3Z/MgJweIIExVBmRiKaGty8M4rz8EZvUUsmlN6cc680p2FvPOzjy7EQ3MXX3yiT/kJHf/lAJ4e11x1CQA8NDZ6+CGAPExIfYFDd7FcYRe74JyF81ae3Pane/bsRhi7eHH7PhweHUTOc+C5QFMpQBxzHB6NEEYMYSQsbOBRUFkwEBOuS9t8biKHvivADQhQuxTwPXE31EOCOqMYGQfCkCEfxPBojLZyBW0tBdBgAcYmCJq6e0Bz2/+mXNqz47cvvYAu7e2i+Zy7DcBPO9p/ffNDXs3xunQyj8XY278fuSBo2b2n/8Knn/0VKnUaUj//8ZzLr2guAqUcwaF9z2DdlmEcPAT4DsfgKENYDxG4IVrKLhjjGJmI4RAgF1A0FT20tThoKXHkAxGRHB6jiBnQ3sTQ0Urhui4ODXtwHYb+gQoOHG7DFZeci7ZmiramEIV8vGZ0NPzSyJjj9cxZipa2mQ9FYW2o1NR5ok/Zr+X4L2/BJxuzZnYDwBCAHwLApu39ALCJ8rg78MAcEmNDuAnR1hEw4sL3gWptIrzojStu5tH42zuaEYIwbN8bi0xHl6BccNHZ5qC5yIQE6cfYtgeImYPeHtfr6sj9aM/Op2+mtOAV8iGKhRh0LI+Fi5aiXHKRCxj1Pexv6caOID/7RJ+i18T4/xb8GI7V9z4MENI9NHiguaOZcYcybNoZiSxHBygVXHS0UjQVhPSXDyJs3CkKeOfP9smsWR3DnPP9M+asOtE/5XUz/h/UdsRxTHbOkgAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QyMDo1MTowMiswMDowMKuEN2EAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMjA6NTE6MDIrMDA6MDDa2Y/dAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 71147347
    {'hecke_orbit_code': 202661983265231027, 'n': 1, 'trace_an': 6}
  • id: 71147348
    {'hecke_orbit_code': 202661983265231027, 'n': 2, 'trace_an': 0}
  • id: 71147349
    {'hecke_orbit_code': 202661983265231027, 'n': 3, 'trace_an': 0}
  • id: 71147350
    {'hecke_orbit_code': 202661983265231027, 'n': 4, 'trace_an': 8}
  • id: 71147351
    {'hecke_orbit_code': 202661983265231027, 'n': 5, 'trace_an': 0}
  • id: 71147352
    {'hecke_orbit_code': 202661983265231027, 'n': 6, 'trace_an': 0}
  • id: 71147353
    {'hecke_orbit_code': 202661983265231027, 'n': 7, 'trace_an': 0}
  • id: 71147354
    {'hecke_orbit_code': 202661983265231027, 'n': 8, 'trace_an': 0}
  • id: 71147355
    {'hecke_orbit_code': 202661983265231027, 'n': 9, 'trace_an': 0}
  • id: 71147356
    {'hecke_orbit_code': 202661983265231027, 'n': 10, 'trace_an': 0}
  • id: 71147357
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  • id: 71147358
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  • id: 71147359
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  • id: 71147360
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  • id: 71147361
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  • id: 71147362
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  • id: 71147363
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  • id: 71147364
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  • id: 71147365
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  • id: 71147366
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  • id: 71147367
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  • id: 71147368
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  • id: 71147369
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  • id: 71147370
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  • id: 71147371
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  • id: 71147372
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  • id: 71147373
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  • id: 71147374
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  • id: 71147375
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  • id: 71147376
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  • id: 71147377
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  • id: 71147378
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  • id: 71147379
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  • id: 71147380
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  • id: 71147381
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  • id: 71147382
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  • id: 71147383
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  • id: 71147384
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  • id: 71147385
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  • id: 71147386
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  • id: 71147387
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  • id: 71147388
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  • id: 71147389
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  • id: 71147390
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  • id: 71147391
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  • id: 71147392
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  • id: 71147393
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  • id: 71147394
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  • id: 71147395
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  • id: 71147396
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  • id: 71147397
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  • id: 71147398
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  • id: 71147399
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  • id: 71147400
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  • id: 71147401
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  • id: 71147402
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  • id: 71147403
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  • id: 71147404
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  • id: 71147405
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  • id: 71147406
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  • id: 71147407
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  • id: 71147408
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  • id: 71147409
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  • id: 71147410
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  • id: 71147411
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  • id: 71147412
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  • id: 71147413
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  • id: 71147414
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  • id: 71147415
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  • id: 71147416
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  • id: 71147417
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  • id: 71147418
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  • id: 71147419
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  • id: 71147420
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  • id: 71147421
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  • id: 71147422
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  • id: 71147423
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  • id: 71147424
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  • id: 71147425
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  • id: 71147426
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  • id: 71147427
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  • id: 71147428
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  • id: 71147429
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  • id: 71147430
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  • id: 71147431
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  • id: 71147432
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  • id: 71147433
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  • id: 71147434
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  • id: 71147435
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  • id: 71147436
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  • id: 71147437
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  • id: 71147438
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  • id: 71147439
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  • id: 71147440
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  • id: 71147441
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  • id: 71147442
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  • id: 71147443
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  • id: 71147444
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  • id: 71147445
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  • id: 71147446
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  • id: 71147447
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  • id: 71147448
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  • id: 71147449
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  • id: 71147450
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  • id: 71147451
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  • id: 71147452
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  • id: 71147453
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  • id: 71147454
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  • id: 71147455
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  • id: 71147456
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  • id: 71147457
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  • id: 71147458
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  • id: 71147459
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  • id: 71147460
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  • id: 71147461
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  • id: 71147462
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  • id: 71147463
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  • id: 71147464
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  • id: 71147465
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  • id: 71147466
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  • id: 71147467
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  • id: 71147468
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  • id: 71147469
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  • id: 71147470
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  • id: 71147471
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  • id: 71147472
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  • id: 71147473
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  • id: 71147474
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  • id: 71147475
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  • id: 71147476
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  • id: 71147477
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  • id: 71147478
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  • id: 71147479
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  • id: 71147480
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  • id: 71147481
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  • id: 71147482
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  • id: 71147483
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  • id: 71147484
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  • id: 71147485
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  • id: 71147486
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  • id: 71147487
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  • id: 71147488
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  • id: 71147489
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  • id: 71147490
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  • id: 71147491
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  • id: 71147492
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  • id: 71147493
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  • id: 71147494
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  • id: 71147495
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  • id: 71147496
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  • id: 71147497
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  • id: 71147498
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  • id: 71147499
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  • id: 71147500
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  • id: 71147501
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  • id: 71147502
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  • id: 71147503
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  • id: 71147504
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  • id: 71147505
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  • id: 71147506
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  • id: 71147507
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  • id: 71147508
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  • id: 71147509
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  • id: 71147510
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  • id: 71147511
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  • id: 71147512
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  • id: 71147513
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  • id: 71147514
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  • id: 71147515
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  • id: 71147516
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  • id: 71147517
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  • id: 71147518
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  • id: 71147519
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  • id: 71147520
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  • id: 71147521
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  • id: 71147522
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  • id: 71147523
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  • id: 71147524
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  • id: 71147525
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  • id: 71147526
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  • id: 71147527
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  • id: 71147528
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  • id: 71147529
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  • id: 71147530
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  • id: 71147531
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  • id: 71147532
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  • id: 71147533
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  • id: 71147534
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  • id: 71147535
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  • id: 71147536
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  • id: 71147537
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  • id: 71147538
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  • id: 71147539
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  • id: 71147540
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  • id: 71147541
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  • id: 71147542
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  • id: 71147543
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  • id: 71147544
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  • id: 71147545
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  • id: 71147546
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  • id: 71147547
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  • id: 71147548
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  • id: 71147549
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  • id: 71147550
    {'hecke_orbit_code': 202661983265231027, 'n': 643, 'trace_an': 4}
  • id: 71147551
    {'hecke_orbit_code': 202661983265231027, 'n': 647, 'trace_an': 0}
  • id: 71147552
    {'hecke_orbit_code': 202661983265231027, 'n': 653, 'trace_an': 0}
  • id: 71147553
    {'hecke_orbit_code': 202661983265231027, 'n': 659, 'trace_an': 0}
  • id: 71147554
    {'hecke_orbit_code': 202661983265231027, 'n': 661, 'trace_an': 96}
  • id: 71147555
    {'hecke_orbit_code': 202661983265231027, 'n': 673, 'trace_an': -44}
  • id: 71147556
    {'hecke_orbit_code': 202661983265231027, 'n': 677, 'trace_an': 0}
  • id: 71147557
    {'hecke_orbit_code': 202661983265231027, 'n': 683, 'trace_an': 0}
  • id: 71147558
    {'hecke_orbit_code': 202661983265231027, 'n': 691, 'trace_an': 188}
  • id: 71147559
    {'hecke_orbit_code': 202661983265231027, 'n': 701, 'trace_an': 0}
  • id: 71147560
    {'hecke_orbit_code': 202661983265231027, 'n': 709, 'trace_an': -94}
  • id: 71147561
    {'hecke_orbit_code': 202661983265231027, 'n': 719, 'trace_an': 0}
  • id: 71147562
    {'hecke_orbit_code': 202661983265231027, 'n': 727, 'trace_an': -32}
  • id: 71147563
    {'hecke_orbit_code': 202661983265231027, 'n': 729, 'trace_an': 0}
  • id: 71147564
    {'hecke_orbit_code': 202661983265231027, 'n': 733, 'trace_an': 62}
  • id: 71147565
    {'hecke_orbit_code': 202661983265231027, 'n': 739, 'trace_an': -60}
  • id: 71147566
    {'hecke_orbit_code': 202661983265231027, 'n': 743, 'trace_an': 0}
  • id: 71147567
    {'hecke_orbit_code': 202661983265231027, 'n': 751, 'trace_an': 180}
  • id: 71147568
    {'hecke_orbit_code': 202661983265231027, 'n': 757, 'trace_an': 90}
  • id: 71147569
    {'hecke_orbit_code': 202661983265231027, 'n': 761, 'trace_an': 0}
  • id: 71147570
    {'hecke_orbit_code': 202661983265231027, 'n': 769, 'trace_an': 102}
  • id: 71147571
    {'hecke_orbit_code': 202661983265231027, 'n': 773, 'trace_an': 0}
  • id: 71147572
    {'hecke_orbit_code': 202661983265231027, 'n': 787, 'trace_an': -2}
  • id: 71147573
    {'hecke_orbit_code': 202661983265231027, 'n': 797, 'trace_an': 0}
  • id: 71147574
    {'hecke_orbit_code': 202661983265231027, 'n': 809, 'trace_an': 0}
  • id: 71147575
    {'hecke_orbit_code': 202661983265231027, 'n': 811, 'trace_an': 54}
  • id: 71147576
    {'hecke_orbit_code': 202661983265231027, 'n': 821, 'trace_an': 0}
  • id: 71147577
    {'hecke_orbit_code': 202661983265231027, 'n': 823, 'trace_an': -128}
  • id: 71147578
    {'hecke_orbit_code': 202661983265231027, 'n': 827, 'trace_an': 0}
  • id: 71147579
    {'hecke_orbit_code': 202661983265231027, 'n': 829, 'trace_an': 64}
  • id: 71147580
    {'hecke_orbit_code': 202661983265231027, 'n': 839, 'trace_an': 0}
  • id: 71147581
    {'hecke_orbit_code': 202661983265231027, 'n': 841, 'trace_an': -52}
  • id: 71147582
    {'hecke_orbit_code': 202661983265231027, 'n': 853, 'trace_an': -64}
  • id: 71147583
    {'hecke_orbit_code': 202661983265231027, 'n': 857, 'trace_an': 0}
  • id: 71147584
    {'hecke_orbit_code': 202661983265231027, 'n': 859, 'trace_an': -72}
  • id: 71147585
    {'hecke_orbit_code': 202661983265231027, 'n': 863, 'trace_an': 0}
  • id: 71147586
    {'hecke_orbit_code': 202661983265231027, 'n': 877, 'trace_an': 108}
  • id: 71147587
    {'hecke_orbit_code': 202661983265231027, 'n': 881, 'trace_an': 0}
  • id: 71147588
    {'hecke_orbit_code': 202661983265231027, 'n': 883, 'trace_an': -32}
  • id: 71147589
    {'hecke_orbit_code': 202661983265231027, 'n': 887, 'trace_an': 0}
  • id: 71147590
    {'hecke_orbit_code': 202661983265231027, 'n': 907, 'trace_an': 16}
  • id: 71147591
    {'hecke_orbit_code': 202661983265231027, 'n': 911, 'trace_an': 0}
  • id: 71147592
    {'hecke_orbit_code': 202661983265231027, 'n': 919, 'trace_an': -88}
  • id: 71147593
    {'hecke_orbit_code': 202661983265231027, 'n': 929, 'trace_an': 0}
  • id: 71147594
    {'hecke_orbit_code': 202661983265231027, 'n': 937, 'trace_an': -120}
  • id: 71147595
    {'hecke_orbit_code': 202661983265231027, 'n': 941, 'trace_an': 0}
  • id: 71147596
    {'hecke_orbit_code': 202661983265231027, 'n': 947, 'trace_an': 0}
  • id: 71147597
    {'hecke_orbit_code': 202661983265231027, 'n': 953, 'trace_an': 0}
  • id: 71147598
    {'hecke_orbit_code': 202661983265231027, 'n': 961, 'trace_an': -136}
  • id: 71147599
    {'hecke_orbit_code': 202661983265231027, 'n': 967, 'trace_an': 20}
  • id: 71147600
    {'hecke_orbit_code': 202661983265231027, 'n': 971, 'trace_an': 0}
  • id: 71147601
    {'hecke_orbit_code': 202661983265231027, 'n': 977, 'trace_an': 0}
  • id: 71147602
    {'hecke_orbit_code': 202661983265231027, 'n': 983, 'trace_an': 0}
  • id: 71147603
    {'hecke_orbit_code': 202661983265231027, 'n': 991, 'trace_an': -22}
  • id: 71147604
    {'hecke_orbit_code': 202661983265231027, 'n': 997, 'trace_an': -38}