Newform data - 315.8.a.i

Formats: - HTML - YAML - JSON - 2025-04-26T17:19:42.564172

• 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': 20160, 'analytic_conductor': 98.40128302749835, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1], [7, 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': [315, 1, [281, 127, 136], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 1086660298600, 'field_disc_factorization': [[2, 3], [5, 2], [271, 1], [20049083, 1]], 'field_poly': [23440, 520, -466, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [23440, 520, -466, -1, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797153182011, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 36, 'hecke_ring_index_factorization': [[2, 2], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '315.8.a.i', 'level': 315, '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, 7], 'level_radical': 105, 'minimal_twist': '105.8.a.f', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(105+\\beta _{2})q^{4}-5^{3}q^{5}-7^{3}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '315.8.a', 'trace_display': [1, 0, -500, -1372], 'trace_hash': 497695221885700618, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.794', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '39.439', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '599.176', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, 1, 0, 421, -500, 0, -1372, -417, 0, -125, -7852, 0, 18532, -343, 0, 47601, -33976, 0, 22188, -52625, 0, 18076, 22736, 0, 62500, 235686, 0, -144403, -12808, 0, -64908, -111705, 0, 45198, 171500, 0, -315576, -1505204, 0, 52125, 325240, 0, 736184, -2151396, 0, -1289480, -1661296, 0, 470596, 15625, 0, 2618462, -2569036, 0, 981500, 143031, 0, -553222, -3128416, 0, 1392912, 1590240, 0, 2081297, -2316500, 0, 1654088, -8005658, 0, 42875, -2863060, 0, 4095068, -8950482, 0, -8510596, 2693236, 0, 9277704, -5950125, 0, -2529402, 1362736, 0, 4247000, 10602132, 0, -14814892, 11110608, 0, -6356476, 11222472, 0, 101360, -2773500, 0, -8721516, 117649, 0, 6578125, 2588080, 0, 15184592, 29007578, 0, -41631582, -10283168, 0, -31484720, -2259500, 0, -16327143, 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• mf_hecke_nf •

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

  
  {'an': [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 0, 0], [105, 0, 1, 0], [-125, 0, 0, 0], [0, 0, 0, 0], [-343, 0, 0, 0], [-131, 108, -1, 2], [0, 0, 0, 0], [0, -125, 0, 0], [-1965, 18, -10, -3], [0, 0, 0, 0], [4569, 250, 6, 1], [0, -343, 0, 0], [0, 0, 0, 0], [11919, -156, 81, 2], [-8498, 48, -32, -16], [0, 0, 0, 0], [5983, -1654, -90, -15], [-13125, 0, -125, 0], [0, 0, 0, 0], [5408, -3434, -122, -26], [6002, -1348, 76, -34], [0, 0, 0, 0], [15625, 0, 0, 0], [57496, 5408, 294, 14], [0, 0, 0, 0], [-36015, 0, -343, 0], [-3062, -592, 32, 64], [0, 0, 0, 0], [-16565, 1594, -242, 105], [-30127, 8812, -9, -90], [0, 0, 0, 0], [14864, -13538, -720, -96], [42875, 0, 0, 0], [0, 0, 0, 0], [-75844, -10348, -1852, 218], [-374072, -6602, -2314, -210], [0, 0, 0, 0], [16375, -13500, 125, -250], [81404, -2124, 1748, 258], [0, 0, 0, 0], [181128, 11336, 336, -100], [-533452, -14256, -3332, 88], [0, 0, 0, 0], [-325128, 14156, -3124, 84], [-414688, -528, -2016, 928], [0, 0, 0, 0], [117649, 0, 0, 0], [0, 15625, 0, 0], [0, 0, 0, 0], [637166, 64752, 5046, 488], [-631135, -44126, -370, 101], [0, 0, 0, 0], [245625, -2250, 1250, 375], [44933, -37044, 343, -686], [0, 0, 0, 0], [-140080, 4522, 2576, 192], [-748174, -140076, 4356, -462], [0, 0, 0, 0], [350958, -6336, -4584, -488], [406464, -42702, 7086, -274], [0, 0, 0, 0], [525863, -16108, -6047, -454], [-571125, -31250, -750, -125], [0, 0, 0, 0], [419032, -6504, -15536, 468], [-1975362, -90688, -13522, 416], [0, 0, 0, 0], [0, 42875, 0, 0], [-692651, -107770, 15314, -353], [0, 0, 0, 0], [1029603, -40002, 16658, -2157], [-2161496, -306902, 2404, -3268], [0, 0, 0, 0], [-2007676, -476624, -3268, -3128], [673995, -6174, 3430, 1029], [0, 0, 0, 0], [2323088, -29568, 14920, 32], [-1489875, 19500, -10125, -250], [0, 0, 0, 0], [-715624, 324066, 9028, 4012], [337608, 23288, -10984, 716], [0, 0, 0, 0], [1062250, -6000, 4000, 2000], [2594072, 219844, 6000, 472], [0, 0, 0, 0], [-3574564, -525728, 9092, -3160], [2814174, -167120, 21032, -1080], [0, 0, 0, 0], [-1567167, -85750, -2058, -343], [2942024, -557376, 11752, -1728], [0, 0, 0, 0], [170768, -629600, 47888, -2176], [-747875, 206750, 11250, 1875], [0, 0, 0, 0], [-2257087, 276466, 30366, 10277], [0, 117649, 0, 0], [0, 0, 0, 0], [1640625, 0, 15625, 0]], 'ap': [[0, 1, 0, 0], [0, 0, 0, 0], [-125, 0, 0, 0], [-343, 0, 0, 0], [-1965, 18, -10, -3], [4569, 250, 6, 1], [-8498, 48, -32, -16], [5983, -1654, -90, -15], [6002, -1348, 76, -34], [-3062, -592, 32, 64], [-16565, 1594, -242, 105], [-75844, -10348, -1852, 218], [81404, -2124, 1748, 258], [181128, 11336, 336, -100], [-414688, -528, -2016, 928], [-631135, -44126, -370, 101], [-748174, -140076, 4356, -462], [350958, -6336, -4584, -488], [419032, -6504, -15536, 468], [-692651, -107770, 15314, -353], [1029603, -40002, 16658, -2157], [2323088, -29568, 14920, 32], [337608, 23288, -10984, 716], [2814174, -167120, 21032, -1080], [-2257087, 276466, 30366, 10277], [639328, 100004, -69236, -1958], [3693712, 363312, 46432, 3736], [-2469736, -389000, 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8453955156, -217459252, -142817150], [-395177876632, -9565557788, -591497220, 202111194], [27059898170, -22129513696, 2631954368, -220424416], [-63579338148, -29162740968, 3867957320, -367215108], [256471858954, -11455274816, -1880450272, 333122016], [-217986631585, -24836426166, -2169244754, -151823175], [-115055450723, 43429029694, -1907835838, 373087715], [52645597208, 29610399968, -992236136, -49403400], [-13177717164, 34820851916, 2499594948, 429278278], [346389971777, 4730370046, -4377128230, 221708931], [-630515640868, 26420888100, 1492252148, -14849726], [674950028076, 10504031216, 597968280, 220714728], [-310625435293, 32299873754, -1608244690, 621563441], [-16483240327, 65940786658, 1686283694, 191032013], [-450228113152, -73008228, 4284641868, 339981878], [-335868985749, -56335092850, 4013472834, 201975963], [297335059128, -49036584156, 1419254396, 361221626], [138893532805, -9165104782, 513238870, 94698549], [983466744444, -13691001448, -1230272216, -623667924], 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-998880507], [568939164912, 237942752, 911260144, -592618512], [377749695416, -21058562196, 4007828932, 22957094], [464667966450, -49242700864, -2370223952, -174242016], [632458145157, -17162765002, 2819696338, 180366303], [-1213171608812, 20070615124, 62041700, 235765306], [353994954754, 13368331192, -1948024152, 818097052], [-516973092760, -12591498872, 192872632, 1039023332], [-14400870010, 35479658300, 2018047196, -470299242], [-481437851597, -19304297938, 5818660162, -375855301], [-472608959043, 9612776778, 3419360950, -1003290119], [286854051014, -57666031012, 4932654356, 314336862], [-318410046508, 3240315248, 3805474072, 382522904], [-841636607910, -64773822688, -1040413648, -251646400], [571843504416, -22662717548, 3004454204, -29916862], [542347341997, -35174769754, -3946677742, 365527903], [1205123478914, -36432817396, -1730791340, 39871070], [164428984154, 9933629176, -6064225496, -183462156], [-82775012044, -12143590344, 439628008, -1464050556], [-101018085924, 44919900172, -5383135612, -418948506], [-123723732491, 72148832210, 3465854206, -321174755], [-988048292528, 4929884752, 1147886344, -1150659776], [1565507218310, 39189464908, -807579732, 281522478], [-325490583747, -49282653494, 624822310, 854976657], [-140348555728, -95592226476, -78181364, 1397863826], [-727925211724, 67142050512, 816542960, 1455025232], [641906645418, -26840644008, -1264310760, -27193348], [357285437145, 29441159750, 5837222426, -333022617], [542272940602, -49081583844, 3258256612, 253427414]], 'char_orbit_index': 1, 'field_poly': [23440, 520, -466, -1, 1], 'hecke_orbit_code': 36028797153182011, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 2], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [233, 0, 1, 0], [-131, 364, -1, 2]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-233, 0, 1, 0], [-102, -364, 1, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '315.8.a.i', 'level': 315, 'maxp': 2999, 'weight': 8}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_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': [6, 8, 6, 8, 10, 11, 12, 9], 'Nk2': 20160, 'analytic_conductor': 98.40128302749835, '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': [315, 1, [281, 127, 136], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 328, 'dim': 70, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 134218043, 'hecke_orbit_dims': [1, 1, 2, 2, 3, 4, 4, 4, 4, 4, 4, 4, 5, 6, 6, 8, 8], 'label': '315.8.a', 'level': 315, '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, 7], 'level_radical': 105, 'mf_dim': 344, 'mf_new_dim': 70, 'num_forms': 17, 'plus_dim': 37, 'prim_orbit_index': 1, 'relative_dim': 70, 'sturm_bound': 384, 'trace_bound': 2, 'trace_display': [-30, 0, 0, 686], 'traces': [70, -30, 0, 4714, 0, 0, 686, 906, 0, -6500, 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-182692099248, 0, -47640315568, -50132085680, 0, -48141125648, 55159384500, 0, 92172386348, 80280841836, 0, -21328125000], 'weight': 8, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 241634
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '315.8.a.i', 'source_level': 315, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '105.8.a.f', 'target_level': 105, 'twist_class_label': '105.8.a.f', 'twist_class_level': 105, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 241635
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '315.8.a.i', 'source_level': 315, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '315.8.a.i', 'target_level': 315, 'twist_class_label': '105.8.a.f', 'twist_class_level': 105, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 8}
  • id: 241636
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '315.8.a.i', 'source_level': 315, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '525.8.a.k', 'target_level': 525, 'twist_class_label': '105.8.a.f', 'twist_class_level': 105, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 695525
    {'charpoly_factorization': [[[23440, 520, -466, -1, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 2}
  • id: 695526
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 36028797153182011, 'p': 3}
  • id: 695527
    {'charpoly_factorization': [[[125, 1], 4]], 'hecke_orbit_code': 36028797153182011, 'p': 5}
  • id: 695528
    {'charpoly_factorization': [[[343, 1], 4]], 'hecke_orbit_code': 36028797153182011, 'p': 7}
  • id: 695529
    {'charpoly_factorization': [[[-183343152835136, -98733523264, 1973012, 7852, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 11}
  • id: 695530
    {'charpoly_factorization': [[[28607321995840, -156268918880, 96239156, -18532, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 13}
  • id: 695531
    {'charpoly_factorization': [[[-69463495214600816, -9907655163808, -42152392, 33976, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 17}
  • id: 695532
    {'charpoly_factorization': [[[-669949852510079936, 73182932121696, -1923484588, -22188, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 19}
  • id: 695533
    {'charpoly_factorization': [[[1333765750576537600, 12111033484160, -2765515696, -22736, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 23}
  • id: 695534
    {'charpoly_factorization': [[[1170333600203168656, 88956362637472, -6548991816, 12808, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 29}
  • id: 695535
    {'charpoly_factorization': [[[47529747500973672960, -1079515264943520, -19641549564, 64908, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 31}
  • id: 695536
    {'charpoly_factorization': [[[-9722552578130591536176, -114815068025619168, -276126928632, 315576, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 37}
  • id: 695537
    {'charpoly_factorization': [[[-4401400132307674146224, 103172303341185760, -267654375448, -325240, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 41}
  • id: 695538
    {'charpoly_factorization': [[[-446113605730527868160, 5131899278460800, 123720371264, -736184, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 43}
  • id: 695539
    {'charpoly_factorization': [[[-358485254173601284751360, -1541466498044641280, -486957075456, 1661296, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 47}
  • id: 695540
    {'charpoly_factorization': [[[-39248803209013584187136, -88199064423149248, 1551347065988, 2569036, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 53}
  • id: 695541
    {'charpoly_factorization': [[[-20667847030128188545187840, -29313232506538327040, -7169166896016, 3128416, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 59}
  • id: 695542
    {'charpoly_factorization': [[[170854745797197771348816, 834589859040145152, -1005025710456, -1392912, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 61}
  • id: 695543
    {'charpoly_factorization': [[[45721697988649535510377216, 9237400345685714048, -13881095246656, -1654088, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 67}
  • id: 695544
    {'charpoly_factorization': [[[-23185600558878345925222400, -59390018939478826400, -17420523177180, 2863060, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 71}
  • id: 695545
    {'charpoly_factorization': [[[-27464227904198641153758656, 56310025913483424416, -17862601744108, -4095068, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 73}
  • id: 695546
    {'charpoly_factorization': [[[1938959340335595467923456, 13863265604368206336, 18022414627136, -9277704, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 79}
  • id: 695547
    {'charpoly_factorization': [[[6914161917267054005038336, 6108765151080637184, -7617507888864, -1362736, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 83}
  • id: 695548
    {'charpoly_factorization': [[[18798383419909312534118224, 35286312559800278016, 3584332266632, -11110608, 1], 1]], 'hecke_orbit_code': 36028797153182011, 'p': 89}
  • id: 695549
    {'charpoly_factorization': [[[1794367621093889331922157824, -1217847692209080982848, -233539648205692, 8721516, 1], 1]], 'hecke_orbit_code': 36028797153182011, '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': 9, 'label': '315.8.a.i', 'level': 315, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEwY4yz74rQAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13mGXHed0L/6pqp5M6d08eDAYTEAY5EyCYMyWCIqlEBSpYvrbk+FxZDtK17GtdyrRlX8u2bGVSmRQzJYAgCSKDIHIYTM65c598dqr6/qi999ndM6R89UmGJLsfHZ3TPQPO6bPXXrVqvet9S/C/v/7Cvj79pceQUqx75dCpUZMas3HSxXMlzx3vcM91E+KOq+uLjz6fsnFyafLmq86alw5tIvAk6yZ71Gup0HJnE8zs5MbXA2wAVoC+EOK1/tX+2n45r/Ub+OvydeTEBYDLtU7XGYTu9SM+89nPsXPjObZtWCJQHsfOfDZeNjf9fL+7/F5HmPjsBY91E4K4N6DTTLyzZxd+8/RZgUgHP3Z6pBudn11gwyScGkSM1FN3kJz4k1/+xIGf33fm8+L//Vc//m9nzx7/4yB56blu86Ay+CCEVNKdBY5X6htf64/kr8XX/6aGb/G1/8g8RgRjrjl+T2/5ZZSQ8dnl0X/UGci3SWGI4oTnn3+RemWFHRtbrHQUp+cqoEOSOGG8YTh42uOay1POz0vGRxIaNZ+j5x1SHTNVF5xbjNmzXXP4tGRiRON5HkHgcHxestKFXTMJO7eOs/uq6zC4OAp6kfPVA8cH/zE1qfumu/ewY9umRzHhipAzr/VH9lfy638DPPtaWVnAwDvqtfCK4yc6+l/9p0/pD79z5PJuOPNPu+2j1AKPE6cv0G4vEsUOyz1JajwC19DwDXPthMPnB2ycCBitKJSImRrx2LlF0RuAkCFn5x0GEZxbFCg8+mHMFVsM68a7SCS1asT66Q4HT06wtFKhFqT4TkxvoGl1FVGSMDY+Ra2+EeWEXLPzcl46uPCLt++aPb555w/JSIzKjdPqqIEHRhtTr/VH+lfi6395gL/0whNIIe5pdaK37zu+8MGrts3vDrsev/nZQ9yxZ4WFeZdTCz02TSqqPkyNas4u+yhpkEKzYSzl1FxArWp47mhILxQEHiw24fIph2rFZ91Uwj172uw7PsJzBwT7TyXceU3KxklNrSbYsm6FhRVF4EM/NLxwcJJ6RXJszmP9+AApwFMpF5YUI7UEScrGmZiFxTp9o3nj9TVOLV9NUEu5+/qRg3PLM5/WRn4FePQtb3nDa/0Rv6Zf/8sBvNtp4rreeKu5+P98/aGveGn0bHrrNSM3Pb9v+uZPf+0C66ZO8uYbajz4zCh93eRtNzk8/lLA9s19un2X88uKMBb4TsJVm1NmxkOWOpKXjo0QJ4KdGwfMdRTXbu9z+IRLe+AQhXDrVV0OnanSqEQcOOtw+y5JFIe0Bw4vnZTccFlKq+NyxaaIKJa8clyw2AlYPwa7t3TwHEkUw4Vll06YsGODyyMvGd58c5ewP8r93+zxhptXuH77Fl48toHnjofPXXlZ8/nbr75S3X7nO6Kpqal/Hobh8vjY6Gt9Cf6nfv2NB/ipU6dxHEc88eQ3qFcjVa+N/MrESLzrwMEzdz/89Dk115rn3nuaVOUYDz1X44UTfX7qA8u0W+t44BnNlk091tUrzC0nbJiGl48qYgMCxabxlJt2dVjuCLqDgP3HHa7Z3sb1PDo9iRSC3Zs1Lx/RLLQr9OIO12+P6PZHWG4LXjos2bU1QQtBs6ep+IbrLpO8etyhH8WstBU37TSsm4hRIiFJXV445rF52jC/qJgcb3PZTI2vPu3Silb4yXslz786xgPPDhid7PK9b3SI443Mt9el49NbHt9xWeVQr9/6u0qb9PqbXkeaJmbDhste60v0l/r1N9JFOXlqFs9V8uxCK/iRn/7p8Nc/+tH/M03THzx07IV4qbl05Xtuc4PleR+RwskzHo+9rPjht3XZc0Wd80sBX3vO57vubnL99gm+/qLHFZt7rButc/J8wq27Iw6e8RitxYDk1ZNVNoxrllYcntyX8uQRuHar4arNkuWO4PH9kjddEzNaU6x06py54NBsG5Qb8UPvXOHUbINmR3DjrgHXXrGAyxizi1OcWYCrLtP0I8mJWZ+xqsOBs5Jdm6HTkezausi2DQFff9bj5FKfD9yjmVsc48ApWBmkvHtPyIbRgKf29nnl8EF1qnXiDd/1lvbtQkzdetXl17pRNPjd3/yVn/r3zcVDvlBTA2NiPTq+7rW+dH/hX3+jGLwfGgIPeXquPTp//vgdg8j8+slTh5OTRw5PnDi92Nh3ZkDfLPH//EgEyUZeOlLhpUMxh2f7vP3OFnddWePlQ6M8+krE6ESX979Osvdgncdf7XPl9oRN4xUwfYQjcKXD0QsO042UVmioByGn5lP2nUmpqzHedkuXlWadp/cbrtkm2LElJU0Epxdc0lSzY5Pg6stjnt4nWO72eOvNkkrtPIdO1jl5YYyqL+j0XCZHEo5d8PCcECUVRjtsXrfM1VsVj704xnPHY953T4uZ2iiPvRDw4oket1+/wrtv8Th6aoqXDmlePhbTVx1+4cdm0dEGjp0dQzhT7W2Xb13atfNKJ07V39q+/bKnpBprAvpvku/+N4bBj59e4cKFpctUemhTJ6x8+sHHHxqZ9s7Wzs8neMohTVIqUnDk/DhP7p/l3jtW2NxyaHUc2n2fT3+9xkS9zbU7HQZRjSdeNXz+yR4fuLtFENR54YjLhokuEw2PM3MO7X5Kr9enNuMSa4fxmmLDmOT11/R58UiCIwW+l+BXE547rqjVXTZNRoQJbJyAG3Yt0Oo5hMkYsXbYe1Ly8uGt+CrA91Kc0ZB+CCONPtuAdtfjzHzKxGiPqZE6X3naY+/piHvf0GXTaIMnXw545cSAq7av8H1vTDl8coxjZwVn5xMutFLe84YOl03VOXiiSpJIDhyeb+w7eKbxxa+8xJtfN/HHcfKO1lIr/eDtN2w/a+LmSeH+zdDqf+0BHmuDEuz63Fce3LBptParZ8+8sENFz6jufJ/rr4WZkfWcnpXMTLiEkaE9gE98ZZz1E0vcsdOhN5gkjF36UZWn90dE8QrX7gTfq/LMQcVnH2txzWVN7r62xpEzDRaaAypewtSYZudGxYUlxXJL0u6k1CshvueyaSrixKyLI/vc+zqH5w+5XLm1yehom/teqNLu+0yO1HjhsMdVl3eYGHE5OS/YOOUSBDFjQYrrSKQUPHdgnJFaj4oXcsVmhScrPPGKoVpt8oE3QN0d5aFnPQ6e7XPt7mVu2A5nzq/jwHGXk+dj9p013LxnhY+8Nebc/HpmlwLmlgTdfsrZecVALlCvztZ+5wsna9/9npserXnJkdH6/N82xpwHDv11Z/O/tgA3ZhZwd7SXv3nd6bPhPzhz8vA9s4MjPPh0mysu7zEz3qJSUYxUOvQGDXoDj0Ho0o8M3fMV7nu6xp1XL3HDLgWMYYzLS0fH+PihLh94U5s7royZHK3x3IExvvr0gPWTA3ZvFUyPOBw779IbxHR70OoKHMewcTIFJZEyot+TXFgJQFeYHom4YmOPJ1/xCUl4/10xaVTl6FnJ1JjDxgmB1gkLKw7tQUg/9uh0PTZPhkw0BiglcRxBHDscOwtTYz1uvzZhw5jD4VMjPHEQzi93uPnaDt/7hpQz59fx4iGfQ6cSXjyeEosO77l1wKA/ydm5KrNLkoWVmOV2yuklSWVc042b3LS7T7T8jPr9Tx3a/Z63bH349PyTj8616//p2YP9l5MkPnLHNSOv9SX/c32p1/oN/Hm+Xt53muVW7bKDR178D+fPvPovX37+6cuefeE47U7Icivg6y/VeGS/z+4tHW6/MiZOfOLUQRuFMQIHzelZj5OLmsvWt1k3BlU/IHAdFA4vHVPMNgc0GhFXb9Ps2uTT6QacXRB4TkxsFOdXXM4vaNqRwHEcZkYT5lY0Jy94jNUlAofp8ZjljmHPZQOkrHJhqcrOjT6HT/mcWTRcdVnI3LIkTlz6kWLX5hghDJ2eZGY0YWo8ZHo8wpXQ6il8H3ZuEqys1Pn68xWOnB8wPt7ijTf1uX2Xz7HT07x0yGPf8YTjCxH10RY/+o4uV28d4dSFUU7PupxfSJlbijm9KDi6ZHjzzYv89IcG7N48SrM7QhgNmJub54lnT1/me73v2bF5sPWmq9c/9bM/85PN//sX/uNrfen/P3/9tWLwM+cP4LjBVLd57h/sf+XBPY+/cOHeitjLtvWTjDfGOL8Qo2TCljE4tlTjN788yczoErftXCZOBFpX0UYVO+vnXxnn5aMeH7i7zXtuDRkfmWCs4TN1VnHgtMvxcwM2T4fcuafPW++QnJ6tcWauQruj8VVMZQzG6ilTIyHzLYde32XjZESaOlyxoU/gxzx9wOfw2QpTYwO2r6tw+ryk1Y/ZsdFQDzSvnvDxPMVEHc4uKSZroEdijswqmr2A8UaMlDBWizFth2/sdTm9ELJ13YB33JSwacqBdIyXD1Y5dtaw/1TMqaWQd7xuhe+6O6Sixjh5YYyT5x3Oz6fMLsWcXYITK4Z7blzgR97WR6fjXFhskGrJzHiN8wuCC7MdBI+zc2b+3scfO8b1N1+998Liif/U64UL27fsfq2h8D/89ddGYP3W730Jz/Ubi83lX2u29333TVuW5Ev7FROjCVNjLsfPecwtaZaaEcvtlAvLcGRRsG56hZ/78DK37Khz6sIEZ+YqnF9wOL+Qcm4h5uBZjRP0eccdbd56g6bijHB2vs7J8y7HzsLZpRTX6TNST5lvK3q9hDRJEAj8oMLmaZcd6yNGR2IuLAlaXYcrNsRgINJwai6g0zc0KoKqJ5Ak+H5Ko5rS7nmcmodQe2hj2L0hotNLOb/oMFZ3uXxDwpaZLrVqiJCGKBK0ehUWWh5jVYErXc7Pexw9Jzg5m3B6KcGv9HjzzV3efSv4cpRDpxqcnlNcyJl7wXB00XDT1Qv83IdX2DA2yqkL48wuVlhYcVlYEcwvJ5yajZkYMzQCODbv8uHvqOprd13zKUdN/USqB+2rbviO1xoS/0Nff6UBfvJCm8kgpZ+Ij16YO3CnXPlj+dmv1+68/6nTzhtu6vOe20aYX64QxpLllsNiU7DUSlluxSw1U2abcGxJMDXZ5F/94BK37KxyZm6c8/M1zi86zC0ZZhcTzi6kzHcSRscHvG5Pl9t2gycr+MpnbjngwqLD7LKgF0KSaAJPUwtSxkYSNHBqNqHdha0zLrVKiDEChEe3r9myLmSp6YCxUqTZhTABg2G5FbFx2qXTVwhlEDqkEbhsWT+g2ROcOu+QaoeJhqQeCHwXkkTQCyWzy5ILS4a5lQTfH4CbcPtVXe68WjDVqLC00uDMnM/5RZhbTJhbTji3DMeWDDddtci//sEV1o02OD07ztxyhfllj8WmZKlpP79mJyVK4EIT3n7XAq+7UnHg1Pbkwb3ON3/2J1+/d8S58JNX3/BuA6kWYuK1hsq3/Porq8E7Zz/O9IbbmV35P3/hs/c99o9/5zNfu2K0duqybZOpPLdQIaTH++5qo7WH1hJjBAYJSEAgMChp8CWcX6rwzFHJnu3L7N48oBqA60g8V+F5DrWKpOpKel2XQycDHnzB49R8SDuJOXQmZGZimfe8boU9V3S4aXeLk4sJiz1B1R9w/Lyh1a5xzeWS5iDlwElFveqw7xTs2GAYRCmD1MNxYsbqcPCMj3JSXJnguNAPJbfs7tHvSfZckdLup5w6X2fbOkWtGtEMDdOjPVa6bT71MLx0IuWVEwO2blji2l1txsYj3nl7h+96vWH7ujppPMqJcyMcO+tyZlZzdj7m7HzKsXnB6WbMdTsX+Fc/2GFmdJQzs+PMLVdZbHostSQr7ZRmJ6bdTWn3DPNtwbGlhHfd0SUejPPZRyLZqJ3fet3GI9dUq+t+sD6+bYPvTT/4z//d53jsq598rSFzya+/kgz+sf/yOf7Jv7hLvfr1z/xfiwvtf/HlxxbVSwe7zPcH/OA7WjTbmpVul3/xA5q5pSkWmzWWWwHLbZfllsNKB1ZaKSvthOVOwmILzqwInMqAO65e5rtfH7Ftukaz22B+ucLCssdiS7Dc0iy1NCsdTbuvaYeG3iBhohGzZUYDAt81nJ13EdJn67Ri2wbDhukecyshLx+pc+MOQ7WywqtHx6nXIqLIZWJM0x/AlVsG/MHDo+zanBCGhskRSZz2qQc++04OqLg1rt+Z8MrxiLklj40TPtvWw5Z1EUrFnF0EzzUIYdg6kzBWl3T6Pt2eS7vnstxWLDdhqaVZbqUstlJmW7A0SNmysct337PIHbsdArfBhcUGiysBi02H5bZgpaVpdmJWOinNrmG5C+faivPtPv/qh86w3BphsaX4obemLCxOc+h0heVkfTq9buoX/snf2fWvzx46k27e/cHXGjoXff2VAvj9j+7HcSqVqHd6y95XDn3o6Omj/2bnhmNsGJvhm684PHso5uhSTLPT45rtbf7D/9Hk2surzK+MstSssdK2IF9pO6y0odXRNDsJK52E5bZhriU43zUgutx7V4t33qK5fH1AFFVZaQU0ux6tjmKlK+j0BIPQECWGNMWuBi5UfMNowzA9HuO4A45diNh71EcnNd5+a4TjNnn+wAiXrYcvP5Nw1zU+860+gaNI0pjxMUhiF8dNWFqq8rob2nz5qTrb1sNzR0JcqrztFk0i+uw9lnLibIAjPWbGHMZqgoov8DyBEpBoiGLDIIJOz9Dsajo9TbOnWeoa+mnK1k093nlbi3vvjEDXWWpaWbfUclluO6y0oNlJaXUTmp2UZlez3BVc6Cjm2wk375zl3/3dea65TLLUHOX0+XU8/eoI33h1wOTEAh9821aCYMfPbtq67Y8v33nZacJ+XwTXv9ZQKr7+ygB89uwxZjau8776yL6PvLL/4K+0518Wz+wdyAvtDm+83iXqVzh6JuHMsuB8R7LQjbhlxzz/9seXueGKgMVmDnKfZsdjpePQ7AhaHUOrm9LsJLS6mpWuYb4juNDSjI32eMtNHW7fnbB1RtGouLQ7Ab4rAUWUSLQWaAO9ASA0Y/UBR84ZtIn42nM1wl6FKzZ63LGnR6ybPPbCKNfvcDky26W10uC2PT2+/rzPzLjhwCnDT76vzYGTPjPjkgdfUNxxpWK51+b4mXGu3xnx2N4+SVjl9qs8tm8e0E+6fPV5Bang2FmHRtXBEdDrS7QRpNoQJ4DUOJ6m1TXU6jGb14fceWWPt9yYMFELmFseYalZYaVtP5uVtqDVhVYnodVNaHVTWj3Dclcy2xUsdhJu3TXPL/z4Atdd7rPYGmFppcG5hTqHTzmE6RJvvLnL+blpDp6q6Le/6SqzfsPVf/dc87qP17xz0TXX7HytIQX8FQG40bHs9Xvv+crXv3SF0vpjf/LVZ92JEUW3I9h/KqY9MKwfBWOwy2dPMt+XXGgl3H7lPB/98QVu3O7RbI+wsFKn1Q1odjyaXYdWR9HqQadraPcS2t2Ubl/T6hkWuoKFLsRpyLU7+qwbT+n2DO+4LeSydZoklTjSEMXw6MsBp+cD1o8lvHosAF1l9ybFDbs0ftDj+SM9FhZrXH1ZjcboCk+94nLzjoClXpOVlQbr1hmeOaD4/jd2efaAw6Zpl8Vui5XlcW64ssdTr6aMV0a5+oou860Wz+wfpeLUuGmXYeeWAcguL58QTI/HzC3EPPayyyBWSAmpNly2PuItt0V0uooNY5obdkAUVVluVVlu+TS7Lu2eotWVtLvQ7qW0uymdXkq7p2n2DMt9ybmWoDUIuWPnAv/6x1a4eafP3PIIzU6VZjtgpeOhtWDdRI9Oz2XfiRpLzZDxRsS6LbfGtar+J2956weO+n7tTwPf1a81tl5zgHe6EXGc/PCDjz71H5956b7xt11/ntbyFMfOBSy1DEvNmG4/JUkNcWLohYbOQNAaCBb6kgvtlFt2LXHvHct8zxsTRqo1ZpcarLQrtLsera5Lu+fQ6Unafej2DL1BSref0g81/dDQGcByV9AdGKJEMzmW4PsGEHjK4EhBr68QuEyOOFy2TrB9g2HLxh5h2uGBZxUHj9Z5640+t123wu88oPHEGO+7p8efPJWwcbTBpg09Hn6+wnvviHjwJdg2FbB+Zpn7nqjyvrtcXH+RT9zX4M6rqrz51jYvnxrw0DMOUVjjshmPyzcItq5PmRqLkDKmO0hRSuMoAxiqvmFqFKLYpdPzWOm4dAcOvb6iO5B0+9AdGLo9Tbef0umndPuGdt/Q7MNCTzK3Yqg22vzAmxf4zjtCrt1eYalZp9mt0On6dHou3YEiiiVJKuj0JAtNw0or5dj5lMVBl7/zfp/Xv+47l9dtft0/ktL5RFAJXlN8vaaFHmOaQP/HThx+7KNPPvbk+PNHFti+bsCduxZIzQxCeiBcfE/SD1PCSCOlRgqDEgZHGjwpeeXIFC8ernH4/Dzvu7PLnVcNGK03WG5VqbUDGn2Pbs+hk13s/sChFzoMQsMg0kSxIY4NSWofUeJhNEglcB1B4AlG64KxOqyb1Gya6TE51uIrz8PjL7pIPcJbb3S5bneHJ/fHRIMGd1wnaPX7zC/VuH2nZnK0R8XxGSSKhXaM0oLrdjpU6yEvHAq4+4YRbru2wwuHFJgRbrzK40ffvczXX4p48NkaB04HbJlSrBuvMFavMlKHig+uY1AStIEDJwRpKogTQZRAGGN/x9DezINQ0xtoeqGm24d2CAtdyXwHQj3gTdcv8547W3zfmzVJ0mB2sUanF9DpeXT6Lt2+ojeQ9ENJPxS0e4blVsLZ+YTDsyE3XdVl1O/y4IMPjwcz5t+9662vdxaWu785NV77Xw/grxxdZt8J+aMXTjz10VOHHpuebMSsH5ng8w/5eKrD9qmQ5bZLkkiUEDhK4KgUJQVKapQyOMrgKk3FFSz2Knzy4U089GKbu65p8uE3NblmW5eJ0SpLzSqdvk+v72bAVvYRCcJYEieCJLFLvTH2/SlpcBwIPKhWNOP1mI3TPRK6HDkX86nHAo6fqTHqV7j5Kofb97R55nCLr32zwa07Aras7/EHDwuU8GnUY5rdEG1ACZhq9Gh3PHRS4T13zfPJL1fZPhfwzlt7RPESj+2dIE4Dbrlqmnfe3GbH5hYPvdDjlTNVXj7hsWlcMt4QVH2B59qbUAoQwqANaG1XuyQ1RLEhjO2NPIigH0FnIFgJBcsdEM6A63c1+fBbmtx1VcpEI6DZrtHsVOj0fLoDl17fseAOJb2BoBcKen1Dt5fS7aXMrhiu3ZHyoburNNujvHKojzj+0PTWdfqjr7/7FmPMhd8SYv3/GgB/5Gu/yh8/v5XPf+WRH9q1fu5jk86Lk1UXpsdrXLVNMLdUZ2nRZ6YGvqupVQQGgZAKqQRKpiglsuVZ4zoG3zFUHMHKQLHUGuPTj9Z4+tUud1zb5MNvbnL99hYTaYUk8ekNArp9l37oEMWKOJEkqSTVAm2sfy6Fwfc01SDB9yI8N+TcUsh9z0mOnvU4cXYMpX22r/e4cpvixt1tlL/A3mN1No5WufpyWDe1wnK7wTUbJYk2fOVZn7AnGa0lvO2WAX/6WMzp2Tq7rnC50Byw77jL5pkxrt22wJOvdHhqnyCMPHZvG2f3Zp/dmzocu7DM0XPw7MEqR47XqDoC35HUfEPggpRWcxpjb9YkhSiBKBV0Q0F7IGjHEOkEbQbctKPNh9/S5q5rUtaP+wwGIyy1Ajpdn+7As8AeKHoDRT8U9AeSfmhz971BSm+QEMWaRsWwvlHlxDmPuUVodjSLrRa//ImvTi8sHfvYndfUE9P8zd/5b5/x+bs/+gN/cwH+2Nc/yaHDf8r33Sq/708fPf/Ln3zmyOh771zmpitqrLQNI7UKm2YUrvLo9C14K77GYNu/lFSWyZ0UJ5MPnqPxXIPvGqpeymgg6IQuK+0xPvt4g4dfHjAz1uND97TYvXnAoN/l6m2GzesUYeySpoo0KxQJDFJqXCfl1JzhxKyg2dd86ckq5xbHMJHLWKDYMOGwdZ3D5Rvh6u1ttFzk1/+0xvLyCLfudrh6e4uHXhaIxGV6TFKrJvRiD2kkGIlyPFoDwdyy4CpT5Z4bO3zjhQobJj1uvXqcH3n3Ih//codnD9XoDlyWmnW2baiwa32PW3Z2eP/dHc4vL/OlJ32Wej6nLricO+fhKoGUEoFAG0OqbZw4TTRjEzF7ruoRhjG7N4d84J6Q6RHFeN0njgMuLAT0+h690K5y/QLYVo70Q8EgxK4EYUo/TBlEmjiFegDLK/BSO6Yz0Mwuw3xfc934GQZLpyeffO66Xz7X2hGfbx//w4//zqf4yA999/80zP1P22R+/vO/z6uzm8TdV5z+4JFjsx9/8IkT1ePzcLoZ8f1vWeSH3ybo9sZodgKi2DJqkkgGsWQQZo9I0A9hENklN8x0+SDShJFhEBsGkSGMoRcJepGgEwk6MWgS0AkiSbhxT49t6yKSBLQRmSwRSCGQSuC4kkOnPQ4cDagFDnVPMlkVTI1IpscdNkwptq5P2bW1SSqW+M+fb3Dq9Ci37nS57RrD5OQs/+WzHp4e5c03K3Zfsciv3y+J22N831tTlqNlPnFflT2bqrzlNo10L/CfP1tnXa3BbVc73HJVh2OzS/zXL1QRcY1dGx02zzhsmJKsm0yZHhsw1hhQCXo0qj1eOQGHzkhc16CUQQgNGPt/BpIELluXcsc1CWnsEic+xngMIpf+wKMf2hVtEKlCvvUjseozDyOr5cNIF5/5IJM/9nM0RAksdSXNOOaH3znH97/JcG5umiOnq7TiLb3ayLqP/NiPft9jCjkfGVJf/uXD738Kg3/2s5+kH21Q160/eG+3fe53amo+uGZ7hUqQ4CnJ7351Cm1m+bvvXaTij9Dp+YSRQxhLlFI4Ulm97dhstOsIPFcRupIw0vhRShgbKrEmjDVRZGgkEMaaMIEoEQxiSZj6xGnAwaM1Xj4IqTHY+qTVxq4ET9nMR92Hq9dDowIjNclYXTEx6jA9DlvWhayfahKbZf7z50c4dnyEGy5XXL5Jsn3TCo/sS5hbGuHGbZKxhibw+vjSxyhBkkqEMSRpxEo3YG7J5YbdFa7b2eHJFwJmxgTVoM4NOzU/de8Sv/wFzb5zdZpdTbOjWFhxmBytMdaoMNYYoVGNmarFbL0hwncTXCdBqRQp7GbCINBaEseK+QWHOFHEiSKKFWGcPUeSMJaEkWQQScJI2A1qJAgjY0EdZ4QSG/uz2NifxTZbE8aC5kCwFKX85L0X+IE3Sk6c3cjh01WOndUcOnWseuXVye8eOnKqvWH9hhv7/f6Z/xnY+0sH+Plj/4F1U2fVS/svfOCZl1qfCMRLwTWXjyCVi5QOjoLWIOAzj4/yk+87w/iI1df9gYcbOTiOwXUMjqOyZ4nnCnsRXEHoWdsqjDRxbIiS1LoiSemRQpIa0lSTaqze1hTgFgKUBEeC64LvCAJfUPUltapipCoZGxFMjydsXdejXmvy+W9EPLZ3nOZigz1bFFvXu+zYPCAVTb7ybJWa6zA1pqhXB+w9hu2432zohYprd8Ts2W6YvZCysOLRH1R5+80dnnilz5FzilpF4nsNrrlc869/aIlH9/X500cnWWobtk6nrLQcRhuKkZpLvepSqxgCX+N7Gt9JcZSVWlLaa2AMtmClBYm2Fl+SCOJEEiWCOJaEsXVeolgQxYYogjBOiWJNVCKOMM4fMIgtsPsxdCLJ3AACt80H7wqZX9rC/hNVTpzTHDuXcHTewPG9/lce0MRi6nWLXeczP/8ffyP9+X/043+9AS7ShjxxMv6efQfP//fPPzIbHJsd4R9/sMkduzW1YIyxhotRCc+dTKlUQgLVQRuBUimO4+E6KZ7j4DoOvqPwXMs2kSsJPUEUC3txYkWcQBRL6yAkQ9svSTVpat2F1GROSeaWCCGQEpQUOI7AcwS+Jwl8Sa0iaFQNo3XNzHjI1FiHxDT59BOSj395gukgYM8WwZb1Lpdt0Gxdv8Lnv2lYXg7YvU4x1oB6NWbupGR+xcfbZgExNSIZHYUjJwwrbc3sYsCOywLeeGOH+x4PmKiD73koOco12wV/653zuHKeP3lyjP3nAmbaMdOjCSM1Rb2iqFYkFd/B98B3wXGswyQF5CrAGNDYGzvVkKaCJCUDOsSplRhxnFpSiDVR9hzGmjiGMLbRhRzcg0TQjwWdSLISQ2cQ4poeS23BiwccXjqUcnou5dRSys3XrvCPP9Dm0PFX/BNLV/2G5DKnHwd/hOWZv54A/8zn7uOJvekPDTpP/9K+g8uNZjNguenyS59O+envbnHPnj47t/jcdVOXr7/UwZiUerVnrUCR4qgUz3FxHRfXSYlcBy9WGcBtKd0yjrBMlLFSkkCcQppaJ0Fru+HS2mByHxDL3EIIlBLZptUCJPChGmjqlYTResLUaJ/JsSbfOBjxe1+rcOjEKJeNuGxfB5vWeWyagV1b2vSSNs8caFBRLlNjitE6jNZDxkYSPM9BCHtz9UOP5XZMs2dodRPmVzy2rKtz2+55vvZsj0PnGlT9GFd5CDHC9o2KH3jzIjftmuf3vlbnmVdHWeo6TDcSRqsJ1UBSCRS+K/BdiesKHCVRisw+tCg3gDHGrl4Z0JNUZ6tbZi0mmiS14E5iiBIzfMTWlRkkgkEs6MWCTiJoJzDoxZi4ixPEfPKhlAeeiYlDBy0j7r5+hX/8wRYT1QYzYyO8fGS+4Y+a//zWO27y7n38/o/fefe7/voBPI3bSCV/7I//+IsffeDRpYmZMcXuDQJPCg7PjfKxT7k8f2SFd9w6z3Ir5elXXJ7bO8o77+xzzw1dZiZj2p0K/dDHdT18zyWMHPzY2nuRZwEex5IosctunGSedkpm/ZExt0QbhuC2RcqMucFRtmDiuYbA01SChHqQMNYIWT/ZZq7V41e+5PKV58ZZXqlxxZRgy7Rg47THpmnBtg0DHK/JJx9zOH6mxs4ZyVhdMlJLkTLk3ILBdyRSgDGCKHbYOt3mWVLaPcVK2zC3XGHnpoD339PiMw95nJzzcZ0YIVy0qREnkhu3rbD1e9t85YUef/CVcZ4/WWPjmGCyllILUgJP4LsCz5W4jsBR2I2zFIWbYLA3mTZ2Y5imFvA5yJPUSjoLdohSm3WJEmG1diIYJNBJJJ0Y+rEm7YVsmmzx+huavOt1XZQQLHVnWWwGvP3WAW+9QVPzxjhyaoLj56rUgpiZ+uzE0krnY697/XvV3ELrN2em/nJ6Pv9SAL7SXKE7kD+ycPbhj6rk1ekt0wGdvqASaNaNaYwxnFqs80cPBXzl2QGdvmFuUUCa8NALfa6/ssv3vrnHu25tMzkS0hsE9CMP33WJE5cwdoqNUpIo4lSSJJI4tc5LmgpSLYZaWwsKVWIsc0sBSlnXwVUaz9X4XkrFT6hXQiZHu/TjPg/tNXzqkRGeeXWUMc/lmo2G9eOSmQmPDVOSTTMRl29c4ZWTfb70xBQjymFqRNCoCRrVmFYv5cvfDKh7BiEssPqhw3vuCLn/aZuJaXU18ysOm6brvO/OLs8c7HDgiEfNT1BSWJDrKoPIav0feGOLnevn+eSjbZ7aP8rplQrrGoKRwFD1NIGj8VxwlEBJeyNbJofcONOZVNN6uMIlGdAtQUCcCuI0q4qmgn5iH50UwkiTRBG1Spf3vXWF731zmxt2JWyYtNfi7qt7tHox4zWfbn+MkxcaXFgK6PQlrnI5dQ6e2f/KdCcZ++j3vu8e3es2f7ta+4sfVfEXCvCwv8QT+zo0+/oH7/vq4/9+7yv3T3zw7iXuvG6KU+cD5lbsridNYwSaalux2G7QT8GrGyKtOdOpcu7pOk/v7fKZazp84E093nZHk/ERjyjyCWOXKHaJE4c4A3qSKpI0K9ikQ4BrkzG3HtpRQphsU2lzHI6j8dwU34up+BH1Sp+UPl9/QfKHD4/y6okRROxz2Zhh/ahhclQxNe6xblKyYSpmy7o2ZxY6/Oqf1kjCCps2CUbrDo0aNKoxwo1o92uM1g1CWEsyTiTjviLRCZ3Yo9NLWWkrzi1UuOryOj/x3iYf+yOfUws1HBVnN4ZDkgQMIsm6CZ8br2iz5/Iu+06d41OPVPja86Ocb1Wo+Yq6BzXX4DkGV4EjbTlfiNW+sAaMtjddqgWpgSQV1j9PBVFqi0T9VNBPoZ8YkiRBxyETQZ+3v6nJh97U5q5rEkYrDnFaY6VpSchVDo3AZWGlwmKzwvxywPyyYm4pZWEl5vS8Zqk3yz03f2568Xz878c33ZYY8+rvzq9sZWa88VcT4L1en9t3j3zHkSPf+K/L57/aeGp/n81Tfd572yKBO4bvVTHasb51nJBqg6dSurGglwj6qaKvFIPUZT4M+JNnajy2r8ctD3b5e9/V4cotbaZHFY2qQxR7RIlLkgxBnuYA1xJtJMZYSWCKDSVIkZf5NY6T4HsJropo92MW2jH/6fMBJ+bHeOHAKEZ7TFQE05OGyRHBREMxMeoyMyFZN5GwcarHxOgKX3lR8/z+UfZsEozVJfWqpFHV1CoRwg3xfesWCZFVGVNJP3ToD2ISLej0NZ2uYbntMrvU4PZdXW67qsknHwyoLCscGVtAGock9YhiST90mRwNuGl7l5uu6PLs689zakHye18bZb5Z5eySj6ckNVfg5TJM2o1nQeS5VMEyeWIEiYZYC8IUBglE2kCaQBIjVciGsT57ttrrcfOVKY2KQ5LUaHU9wtgjSRyi2CWKFf3Qo9v3aHU9VtoO8yuas/MRp+c151qad961wqaxiF/9/a9O3Hhb8F9fd/PrVuKw+6W/SEz+hQG8tXiYxsRG9YXPf+qKR795oPHgcy3OrHh87FNjuM4y77wlxPPG6fZHmFuS+K6g4mmMsTrYV4ZqIggdQT+R9ByfQeqyFFX42vMjfGN/n5of8sPvaLFpIuGyDX1uv7qDI2yLmBBWrtiqpMwKOCXmxiCkQQnr5RoSkAn7TkieO+hw3zN19p2uEyVV6o5iqmIYrxnGqsb64A2H8RGHiVHBuvGEDVN91k+t8NirIb9+3zTrRx2mGtCoKRo1Qb2aUPFDvnFYMYgc3JoFlTGCKJEEjuL6nX2e3jtqg0/9lGbbZbHpM7c4xk+8c46zi0s8/dIUrgREjIYCQGEk6fYdxuoBo40at+3s8fo9Pb73DQscPKO5/5mAZw5WOHy8RiIcwlDRixVKSIQQazaeWU3AaBJtMFrjipQRLyIg5rYbumxbP2DTZMyH3xZS8SS1iksUVWl1PLuaZitqkiqi2CGKbeanFzqEkZ2Mu9yKOXw+ZbaX8M7bF/np725jkgqOusD5s080Hm6uXHHvvR9Uz754OL3lhr+YPPlfCMC/+ugBHnxhxlvfePojY43BL22dbHHDZXUmKglnVur85y+4PLmvxfvvXmTvKVhpVUEYXEdQMTb74UiBqwx+agiUoJYKBikMXJdB6tJLAzqdlH//yTFMEjMzNeCqLQMmRhI+8MY+W6Yj4lhkeltCibnJ9KeUGiEFn320wivHagjH4dT5KufmqgQVxYgvGK0ZGoGmEUC9IhipKhp1xVjdYWIUJkcTZiYGbJxuk5omn32iQb9bY8cmQ6OqqFcl9YqmHiS4bsRXng4IexJ32naL5hKlVlG8/ZY+j7+o6YaSbj+l3XNodhxml6pcua3OB+5q88K+KqeW6yipgTjTyy5xat2kQSTpDhxaXY96pUqtEnLlpgG37hpwZr7FyQtNHDfl5eMOn3mkilDKglvI1RfRaECDMcRRytaZhA+9sc9kI2XXVsPMBKSJSxjVSRLbNZXEDnFqQZ0XkJKikCQJY0UcSzAwNZZw9Y4m84OQn7ynw83bJSsr67iw0OD4+YAXDrbYc333lw7sf7p38/U7Px6u7Iv8sav/agDcSY6xsXZ+56GjJ3/l0OGvy9t2VwijEZSAqpcw1/R5cf80+45pxn2YGUntkpm1PEuBrVSmVgPGqSHRhmr2OtKCUEvCVBJpl1jDQrfBI69oDClffCZGiNReJGMvEmRmifUCEUIhhEQqRRI7SO3gOpK6D9umDDVXU/U1VR+qvqBWkdQrVg6N1CVjDZgYSZgaC9kw1SFlhf/0uYAn906zfQLGqhl7VyX1SkK1ElGr9qlUqvhKomSmwbFyII5dBn1BP0zphIruQNPpa9syV/M4OzfC664K+akPzvEfP+NwuukjhMaYGJ0a4sQliiWD0MZY632HWuBRrQRU/SqBH1OvRNy4I8JzY27ekfDhN/VwVJIVgTRCmNWiPJN0WkuEkPiuAjwGocPSspPldvI9j933pPkmP1UkWXAtSSRRKjPLViIkBI7mhvUur78uJvBGWW5XmF+ucH7B4+AJOHy+R1B/WF6+Uf3K0lL8RBz3X/0Lweb/v/8Dv/WJT3N2zqv02gfv3Xdkn3jllGDDZJ/p8Rqziy6pNvhuynRkNzKuY/Wgynb2UtqdvkoNTjpMwSValF4bEp3Zf8b+WaQliZGk2iHWPmlme5W/iiqlAEcIW6lUEFQMgWMIVIrvgu9A4BkqvqDiSaoVSTVwLMBrgtG6ZryRMDEaMj3eZcP0Er9+n+YPvjbD5lHFZF3TqCnqVUWtCtVKSr0Sc2FJc+yCT+DZ+C3kST/BIHLYtk6zbnJAe+DRH5iMxSXNjkO9ElCvjvLhN81z/MIsv/GljTjSwaBJdUqiDXHiEEaKfmRDUb1AUh04VHyXip/S6tg9huemuE6K66Y40jZKSGnL+SJ72OiKAEQGckFLZylLne1rsv1NomWx38k39omWJInINvvDZ53amzpJhI0t9wLSVNAPFc2uYrktmWsmbNrQ5+7rmhw7+rTYsiW+98Y9Vxx77qkv9G++432vLcDvvN73Lswv/NMH9i79031HjFzp1XnqZc3uzQLPk4zUHVxHEMaaVJsCdPnFNkbgKNvYmxTFB1NYV7mXnRozLLNnr62XK4qNUllzQ3YDCbuxcqTGkdlKocBVwkZtXVu9DHxJ4EkqvqISKOoVSb1qGKmljNYTxhshk2M9tsws8czhkE8+uoGxwGemrmlUhQV3RVILNLUgoV4NeeYQvHywyhVTJtO9w7J5P1TcvMuwY0ufZ18dpRca+oOUbt/JQO5SDSpUglG+++5lXj48z9MH1oFRaJ3amz8xJLEp8iT90KE6MFQCReBpfM/F91J8R+M4Ka5jI8ZKaXsEi7TyEGEQDPXccHNuI8Q6d6R0br+WrNgsamwroyIDv7DXLBWkmVQUAgaRwmCvZxgLun1JGMG6ScXubQHrRsZROpGDztz/9fA3K15K9ReA6DUDeBj2ZRL3fr698t//0c71Z7xA1mh1LOh6A4nvWWngOoIothUzo01RdCkKDimkjmXsNM2zIkOA68LKMuisEpf/t8YYSpX3VStuXqrOCzpKZhVLBW4R2rLVP99TBL6i4guqFUG9YmhUU0ZqCaP1kImRPhumVnj6UJ+f/8QMp8+OcvmkZrQKjYqiVlHUAqgFKZUgxnMHtAYGJRWuMshSci7VluHixKNRieklml4pZ93pSVoVRbXjE/h1LlsX868/0uJf/o7kmwdmMCi00aSpJkkTokQTxYpBpOj7kkqoCDyJ7xl8T+E7Gte1fr+jjAW4sgBXmUwRwqyOlmalfZORiNE50Ms1hrz0n7G1zm1GUcQBcpu2uNbZ37FhLlsdrfmwstLg8eU6ra7m2Nkz3sRm/5/83D/8iNvpDn62Xgv+3OX8PzfAm802vV70C1+4/4l/8MKLp4O33NJhw7TD+YWAQZjZTSlEkcRzJVGsiZO8cmYsWLMOmrT4XpTK6gxZWoPRpmADbXL2L+T2KoBnsjvbWFqJoqRAKSuP8iy560h8zw4ACnw7kqHiG2qBpl5NaVRjRuoR440+G6aaPH2wx7/8+CSHTo+zddw6LPWKpFaVlr0rhmqQUg1i4jTi9x+sI5XClQYlhjahNvkS7vIDb13hq89HdCKfXpj3iyo6XUXLdwg8H99tsGtzwr/50SV+7uOCp16dQRtJqm1ZPU5s0CyMNGFg466+Lwhcge/ZyqbnmKJi6yiNVCaTicY2SuQAH5Y8geyzpgzSMrBFMXUgLQE7/7M0K7Klq6IBtkoaxcZiIiO+Cws2a35h2ZA6A26fPhycP/7IPxzd8xbR73X/WaX652t7+3MDPO0fQmt9mxM+U9EJzC53edN1hmowQqvr0esreuEwMB/G1ipKMpAnGcCHYKf4Pm+7ssydPwubo8hBnX/wa95XDvA8g5FX8nL2dpw8dyJxXWtX+p4g8O3Mk6qfUqtYcDdqEaONPlOjLZ452OPnf3ucfacm2TQmmKiVpEngUAtsfqUSJFT8CNcNObc0hqtsi5215YabzDSVJIli/ZghSWLacUA/NAxCTX+Q0hlIKj1F4Ll4boDrjLB7U8K/+ZEF/vlvwdP7pzPm1MSpIU7SjMk1oa8JIsnAU4UEc12y/Y/JcioGR5LJFBDZ8yUwnk0Ny/bvWWBLZ1IrLaqhQyCvBfVQalpZFSWGKEqzPltDPzL0Q0OrB8eWFHff3CfsG37vs89X3h1uu02udXz+sgF+7uinGB9brv6X3/y6d+bCGT74lmUu29zBNT02r4vp9Gostyq0uh6dnoOjJE5kgWX7H7MlTA8ZvQByWYbkrwu2NkPm/hbvTYphiErKfBMrsrL1ME9u5QkELviephLY7qFakFCtxDSqEaO1PpNjLZ4/MuDnfnOMvaem2DCqmKppRiqCeiCpBopqRVAJ7M1hS/0RTx8QdAceQb6hllaD500IqRbEiUMtUNx+dYdn9jXoxVam9MOUXl/R8RW+p/BcL9PPo1y5WfOLPz7Pz/waPHVgmlhLYq2zZulhD2boSXxPW/bOsimuk/e22pyKlSlDGSezKu+lQJ4XhQyiqH4OMy1iVYBrKCkz+alLOZf8Jow03YGmm3X1L3YES6EhSro88bTh5IaQ9955jJee+4wXbPpA9Zd/94He3//Bd/zlA3x+9hSjE1tGX3jud3913+Hk7q8+U+Hx/Q5STaDEgHff2uXtNw/YNF3HdRpAgDEuIJGAIwWxskuVTkWhvU0GeJOz9iqdblYBPKOV1bpb2ECRkBm4s5CRKgAOKksMug54LniuJvCygJWfUsnkRb0SMlLvM1Zv89LRkJ/7zTFePjnNulGHqapmpAK1QFCrKKoVRbVg75TAT6hXBzz2skezFTA2NiyT54DR2aYsThXTE4o3Xdflsee07aKJdAnkksCVBK6D63g4TgUpNVduNnz0x+f5mV8zPHVomlg7xFkC0MZeLYj8WBbpQs+ROE4WwpIC5eSfDcX7y2/CXKqIPJXGsCC09rEK6CVJqdes0MPEoiaMDf1Q0+kbFjtwtiXwKn0+8Lol3nNrD6FdpPDZOOXx6qnk7sX+sd/6ez/w/r/9nrtON6/YvuUvF+CnzlzAmV38mW++sPg9YbfHtVt95pseSz1YGozyzP6Ir7+0xM99uMnkmGQQOUULGmRyIfO7h3d8tqTlGluv3oRekrkzpOcVuUJ7yzxBN9TdeWLQUdh8hmNwXdtYHHiawEupBAnVIKYWhNSrA8ZHWrxwOOSf/tokLx2fYXrUZbqaMlI1Gbgz9g4kFd+yf+AnVP2IRId0Ih+hJG7JEhVZJdOyWxYQi11q3sDGBaKAsRzkg5SeZxnc9ySu4+A6+QG0hmsuM3zsb8/x0/9d89TBGWLtEKaCKNUZiwuCWOO7Bs+1vatOtu9wlI0IKymzzyfrys+fS8GssuNVMPoacBckVDIQ8uy9zuLKSWqyKVx5J5ChF8KFNoyNt/mXPzjPPddI2t1xWt0qK22f/cd9Lsz1CBonvmf//heOxXH8z/9SGdyYvcD6rQ/c90d7No6e4bY9PsfOCMZqMc2uHVi53HM5cGSGX/7sCj/2TnCy5c9RBs/Ju2cESplVes1kS9rwAxMlphhWJU15zcxZu7ypzJfbrENHZZspxzG4ygLbc0yRHgzcNNPNMZUgZKzRY6TW4ekDCf/s1yd58fgMUyMOU5WUkcBQz8BdCaydmIO74qcEXkKjFnHgpOHRF2p4UuIqnW3ihh5FvnzHqSLRDvfcGHPF5V2Ona4wVc17Tm0PZG+QsbCjcBwXJU1WNDJcvRV+8W8t8s9/TfPEvikGccUWwxJDNdO6vosFuZOvXjqTKBJZjOGwjyHARQnkpWXyIpCb1QAvgTv/WVpi8yTrrEqSoZzZOh3xkfd22bN5jCOna7Q6Hu2ux1JbMbcsOHI6ohefZWCe2vPmd31k68PPHDn1xlt3/MUD/OTJWc5fmLhsefHx/zdNzn/H7MosU+N1krSBlD6VIGZkoJkMNZsnJCuLk7x4EHZusuwtpcF1LMNqaXDW6La1oC6zw0UMYrklY/A14BYGqXJb0ILB9nPah+doXFfjuxrfSwi8hMCPqAYh4yM9Vjo9Hn8VfvEP1/HK0UkmM3CPVgz1iqAWiMIrt86LtuztWYBX/JAoTRn0AwJlbzIpxKokX15IsRtNx2p5J7QbrliUAK7xvBTPdXBdiaMUSroFwBFw7TbBL/7tFf79HyU8dXCC860Gg5pkNDXUE0OQTRzwXZN5/7mTYgr2zqVKDvDi/WZvWhSfeWnjmV2U4cpqCm2+GuxkG1FT6PE8fzRahSs2e0xV17H3qMsglPRDRacvaHbg7HzEUi8kqPQ5tzD+HZ3ZF9I33H7rP2ytzJ0cGZv5iwV4Gp7Gl4u3Hj96+t4vPjDP2eU6N+6ADRMw1pB4rmdbmxL7C1R9iacE7V6K72qktBsYaQxGiczTtrag0XnBxhQy5FLgXqsK84tgxz3k7G0yeWJKw4FsLNZ1dDZmIi3A7XsZuMe7LKz0+ejvV/nSN6dY7I4xNSKZCjJwB1Z3V7ONZcWXVH2TMbjV3oEfAREPv+SxEntM+KzKYyNWr1BpapsfGr7DG2/o8fShiE7sMxJnUwIijRfarLrnWIA7yqCki5C2QIOB3Zsl//Hvtbn/6T6/8NsznF0coz/qMOoJ6ommmoAf29HLnrIDjdx8oylFsQnOn8sb9fKNKUTRK7JKquSdQsMV15S0uSnp8+HfkcJmfaLY5dn9LhXf/u/FCQxiQ79vg3jX7ZDcsNPl6KnTHDl07F4px34/DPsn/0IZfH6ly+hodcezTz/69xfmXuTm3TWmLjgIYztnGjVDxbdLbqot8HzHbrwsM+SlalNIDl3kHvLvzaqLv4q1y7Ik+6BzZsnLzbkLoHKAKzvazXHyAUF23onnpnhuQuDF+F5MvdLHcXo89nLKb325wX1PThPpBtMNwWRgZYm1AHOfXGUPkTF3mb1jHCfkG/tH6UUO66v5+1nL4Lk0k8SJInAVt13ZJ9EW4P1YFCMZwsiOXHOd3OJUGRBt9dGCTTA5KvieN3Sp++f57S/3eXz/BLNxhV4gaSSGmmMsyJ1sH6JMti8xGcjzz1AMs+MSJEMWL0uW8iUpGHwNOa0G+mrSUsKCvjdImV+yExOEGOr1JLEVZ5EG7DsccORMyumFZ7nuuvV///Zb3/qiMc0jQvzZDRJ/JsCj7il+8RMPsWF6dMOzLx96/ZnjF/iJ97ps31xnueWjTQpZPsRWrqx4UMpkoMobYE1x66+WI9nGkuHrIbBL1kPZvhJmjTTJq3I2MagkxeSrnLldZbMYvhvjeTGBG1GtDvC8Hn/4NYd/+7vTHFsYx/UD1tUF435KwzfUfKhlHfYV31Y7g6wgZPMrabYSWHmy2E7pRh6eUnjSFBtMSr9KHi9Is8xGlLhU3AHrRvs0e3X6scjGrdm9guummc2nMrtTFSvicONqk4/fcVeXm69a4Bd/b8AffGWK5aRGz3epuZKGYzM4vgNeFnZzMgk3rBeYgsXzcXAFuIubdChWTPH/WAVwfRHYh1VnAaRC2PiFyWdODkktTa12B5hdTlnqCLxayFvvmmUqeOX1y+fZQLp85JX9p7n2qm/vqvyZAE91ys/9ndsvO3bo8K+f2nucI91xTs/N867b+ywsjzKInCJFlpdw8ylRItPAZX81D/WsZvLyz+wHuCY3lX2sZsgmWfVNlgEuDUpaOTRk7jQDeYLnWEnieyG+2+fkXMJv3F/jC09McHxujEbVZTyAMT+l7pus9J6DW2bglkVRKMi0t+/ZG6dRC/n8NxyOnKoQKGErhrmDwhDlxRgHY3V4nDjs3grvvrnDbz0wQbfq0IjtICM/yvYNSuM4MhtbRwnkbolW7aqwZVLyz76/x55tZ/m1+8Y5PjvCclKh5zrUlKCaAd2TNrLsyjwAl61++eea24cM5Yr9FcwqPV788xmi7U3MJRi9dC2FQSSg4mwVZth4UVQ8U9vYfKGd8q47Q8YrU3zyi/Ncd0vt17dtv+kdWrf/TKnybQGeRBHKdXnp5Wc2zV94Yfvd153i5p11rtiSMjHSw3cTBpFPGLnZ2AYbobRn5lyiGJNXxEyZrfOfrZEl2d/PtfbwgxkC2z5noaEM3NY1ydk7xXUS27njJPh+iOeEdNKIX/m0x2/fv45zS6NoVWF8RDHuGUY8TTVj7mpRvpdZTiWTJpl3XoDbs9XLMI44ctanG/mM+ZmLkxedclcir8KaUiYldmjUHLZtilD+gE5Up+8JKtmQHS+TV24mUZzc9RDqW2xeFVMjPX7iO3rce88sv31/m9/47ASL/Rp9JyBwFFVHUFEGPzGWzaWVKo4cxhvyKudFTF66FkPSKl+3NcBe8/oiWGQEl/eFRolgkAh6CXRiaIWGh18MuHDeY6G1gDvx6vb16/1N111908k4TnHdb33U1LcF+OLSAqMjtSmjg0//yu8ddKem4O23nSeodpltJ6RxSM1XjNZdktQjjr3M93ZsvFLLQmMXFbAsjsm3YO01kZ8hc5fAnQN7lTyRWUpOpRbgTjZ2wo0JvAjPjWgNIr7xiuQPv9bgs09MMEjreJ7HhCcY9TQ1z87ZrnpDcAe+xPclfiZNbGEocyYygHuurXyeuGB4/PkqUezi18xFG8z8qyhzZ1HUKFa4rsObbu7wya93OXS2Rj+w815C1+Al4MYaN9IoJa1vLQVSyOFwH4YrYh5prfoOM6N9fvq7e1y5JeQPvlbnuQMjLPRrDJSH6zoEjqAiwZeZjZrbq9LYeoKgBPLVoaxVNmKJmAyl61kG+Bo21wz7QWNtu/X7MXRTQ5rGjFVDZkYGTCUxOnJQHnz/Owwb/ZfcmnfHpxeX29fFYWfhz83gM+tG5KmTR2997qXHR7ZOGR59ZZyHXqrjuAlhmhKGKa+/tsNbru+ye2uHy9cbRuoe4NMfeEWfpB3bMEyjFYA3FJ03OWOX5PZQ6gl7fhrCZIUcO38vj3ta3W3seOXskcsRx4lpdWOefFXwiQcafO2FEZZbdWQloF5RjLqGhqepuoaqZ6h4ZKxtmbviSwJPEXiCwCNL6OkM3BrftfpbOSGHz8K5VmALK5m+XV04GQLALscW5ImWRJHDTEOwY3OfvacTerGbjUQDL8KCT+WTdfNCDazNaeQ3T25DxqnNh3/oTX3edssKD73Y4Xe+0uC5Aw2WOlVa0qPrOXjKjvTwJbaHUxocke9rsikEIov9Xgrgl2Tl4YpcmAqZPk8zYEfGdm71IwMiZtTtc+2mLlddNuBN1w143TWGfugSxQ6e4zMIx3nwWUkz+urInuveeOu6DVc+wLcZHvRtAT5/4YLf66X//fEXTtdmZ1MavkSFDp2+S5oN2vnTJ0f5wiMJ27e2uXZLm/fc2eX9d/epeAG90CeOHVKthoyeA7wY5SCGS9ya9WuYi7DauxzQl5nWVll3ipIpSqZ4uZshYxY6CY897/DlJ+t86fER5ts1RBDg1l0aDoy4tpOn4pLJDqh4InvILHKa6W5P4OfsnQPcSfC8hMCLMCbm4Rd8Tl2oMDkucKUuGjqkYPW6ZCjip2kmKfqhy9YZwZtu6PGFb0Z0Y5d+LAhcg5dYFg9jU1qlVOFXI+QqmWIfsmhUsFVTh4of8qE39HnLzUt88YkO9z9Z5bFX6sy3qvSFR99zcFyFIwSuFLhS4gqTSS2DRGSSa00wa83vt0qmMDQVcmDnTSsDLQhTQxzF+KbH++9Z4j139rlyE+zc7NAPG/RDD+24COPQG7j0Bg67L+sSpUdrgfeG/97vnrsS6P+5AP7INw7S7vRYnOsx6CnGaoaxGjbrkNhMbz8WdGKXC3OTHDo+yjcPNTlwcoEP3NNn1+aYUPnEqVuSLLJ0EVbr79wuKcL3hT1lSo/shAepEVIXcsRzYoIgZhCmHDoHJ88rPvXgCA8812B+pQZugNNwqSpJ3TXUHU3FNVRcCFwL7sC1MwltzFSWHiL7c5OBXBcg91zbnnbsvGbvCR9cN1vmTalEv7osWHYabHOAIEntOOdrtoVctanLwXNV+oGgmgj82BAqMmtPZ+yduym5BTnUKoXPnlmRWqts+oDLIHKpVEJ+6O0h77m9yVef7/LHX69y8nzAwXNVoqZP4jsMHAeppC3nk/172YbTyTeh5KMozMVsXgB8COzUCAtuY7u04jSBJOTarSt86A0rfOielC0zFZZbdU5eCOgP7AycMIt7RLHEAI2KZKmV0l05Qux/+xjttwT48ZNnRRgO/v6XvvDpyT2X+XT7ush0x4nOMgXWp+3HgvEAFmuKc8sTfPR3XcLwLD/7kQ7ViiaMUhKtLLhzkBeOQmntLqjb/sCyk0FiixpWkmg7+kGm+L6dpJqkKbNL8OAjDsfOVnj0mQrnViocO18D30dVHQJHUXMMNUdbF8G1g/MD145rsyDOHzJ7qAzgZJo7A7eb4ruWve2NFXFiAQ6crOLK1fZgIVEY5sELG61oIMh7Gl2u2tpnx3SPV48n9BKXeiwIHfCymYCqBHApBULKVUwOFDJgGIXI8+e2lzJOXULXo1GJ+IG3hty1p825lTYPP+tx/IzPV1+ocn4pIO27aOkQewqkypwU25UvySqerM4DrWJxSpKsKPpk4/N0AnHIiNfhB9+xxD/8QMLyyjjHz47Q7lbsyRIDRRhlo/pKI/qi2KfT0yx0j05+6IMf+vvN5dMfGx3fcqn967cG+AOPPAkm+Z7JxqnauhGf+RWXbt+e+WKHMZoi9jiIDf2BpuJqjJGcSqp8+rFxvvMNXe65to8xGqUVWqtipAOZDr/ktrrYsQ9Zu5AiKsX1U+LUcPyMYO9xxYPPVHn1hMf+ExXaoU8Y+eB6qIaLrwRVBVVHUyn5wL6T5zTy2KzNhfuZLPE8hefJ7AYwQ+3tpray6FqdH3gxRkfMLUtC49vpt9IUGRyxRoPDEOSpGfY7ppkfLnCYGo+QakA3duk5wjod8TAw5ii9qgIpRWkXmw87QlgyMcPWsrx/0k1VMX6iF3qsG4vYMhNz4+Uh/ajPD59o8epJjwefDth7IuD4aZ84cTC+wkgFQpLKUjVoVTF/7bXM0Z43hGswqQV4FHL9lR0+cHdIpzfC3NII88u2vtLNhu/bUc6CKBv+GYb2EK2FZsqx+bnaDdc9+T2uoz72/4nB97/8Fc7ONdVnHnhZvOPGZcZqIziqRrtnj7Kwd1XWmRGZ7DDSlMDTLPZthe3kSYc/eqDK1Zc3Ga/2SRMnA7gd6zB0TIYMLkS2qEmbG0FohDTEkaE3sIx+8qzkj77m04sVL+0POHrGZ7HrEaYeOB4oF9VQeFJQUVBVhkDZrm5PZcEjZVnbc4UtepTB7Uq8TJb4HvgemWtiS+auo/HcJKuIxlSCiPmVlAefqtPq+IyNCJxsf5CHvi61GTPGXutiQ6glYaiYnFC87fYBX32uz+lWjb4rrUxxwE0Mbpx71pnHLlNrF1KedSKLf0Mbp/RvWKB7qSJ1FImriFOHOHatlerG1LyYu65JuO3KkPe9fsDhM5KXD7j0I8UfPFjlxKwLQtLrO6SRKtqmjMOwGsQl9AqmBHDbaDvZiPi+d3bZvjWhuQyDyOPsfIXFlsMghCiyB91GpQz5ILKH3Z5dMjTGU3rtl0WfO9Wnv/hg8sHvfMv/GMCFgM0zI7+yaZRrZ+frTDZgcjSkGjj0Q0UYCauJso1mkkKaKjZMaxoTbXZsmyONB4w0NB0jqLsaLWIwceZti0uagXlxqNUTvPyKy1JbUgngmQMuf/pEwCBWDGLFhVkPLRxi46KFC46D8B0cafMvgTQEGbB9ZfCVDXp5Tub5OkPm9vK+zALcKuvRFAV7e67G8/KAVlqwt+fFKBXxyIuKL3yzjvIca7et0t/fmsFzL9zqcEmcKgYDl/fc0edL32jzBw+P0E0CapkOd3MdHudFGVN0CwkhC4BlweTVG7xSw3CSShLHMrnrKBLHwUlSC3SVopQdpD8WJNyxK+H2XTFGhHzgDT0GsR3n9idP+Dx7wKPiCxbbipdf9Wj3ZKaS1oK8JFiydiydGhoyodmWfOFhl0GUMregOXtBEMVp0SBhW/LyFjdb3e1HVuBvaCheOehfu3XH2K8AP/E/xOBHTndRQbXRPf3pXXfu6SsM1CsR1SDOjrlwspMBZNaZYz88IQz1SsL7NnTYtGGZoNLlVz9b42d+aQzH4dI2ydq1LHMdml3Fc3s92i2JdJSdiWIcy0zCwc4FdkA6SClxpbBglgZfajxpgeAp8NRwRp8F+XBMsj3jRxaNx2VwW4bPYrVuzuBp6ZHgOzHGRJxb9IjCAH9E4mVlb5Wl8lZVMfOoAsPy+hDkklQrothlrK7YPBnhiQH9xKefCCqOHYKZZ0jygpaS5XirLP4t+2/IrPijS0PwddY/OZRGSZJmdQNlC2QqIU5SVGxrCY5KkTJh06TOVgzNlVsGRKaHdAytluC5vQ7NnkQVimXYKHEx0O2fOsrwzf0e//dvTKG8UTZOVtk+GVLzrfLJy/bFYVqxTVv2Yklq4NBpw0I7Uh/Y0Nz1ke/7roYxS20hJr49wJeWFnFU82OffuD4G6pyFt/R3HVNj42TCqMDun3fFnOyqmU+2NJxNNUgYqwRUvOsDfjI8x5ffKiOctdqtTXLRT56Kr84QqDzIxfIMqfCaj8hJELKzMrKQZ2VnSXZwa25b1x6drJOekV29B4FuG1blx2u73sCz6GImFoGz1jc0XhZddR1Y3w/5syi5ve+WgPHw5ViuMEs5MklstUljzgfEmrBpkhTC/IPv63PFx/rs3+uTjd1qSb2UFqbAjTDThyV1wQYetT5Z5mvFFllecjigjQDepJKe3pGaueluBnQlRwWzWxuPHstsrNKZYojNMJoJquad71O2+FLInfACpNwFYcNA3MGxzUEAfy3z0l6kcNcV+EITcOz+RhB5rykdrptL7YnxSWkrJ/ucc3VCQ5NNo3ve0MU3vKxNE3+zp/J4C8/+xBSCe/cqTb7T04z10z57BMr3HvnEj/4tg6NekCa2gOMBqF1RhC2yFKrRDRqXfpJxKcfrvDCkSoEHqmj8vBIafnKjdSLAT78uxbMeQuaEuAKW1b2hZUCjsR6tYosU2GKqVmOzKOhlLLQWRNu1t0yBLgsZIvvmaKlzfN0aXBOgpuxt+fESBlxalaw0A4QjoMvWSVPZPnXYrjfKkuHVcDLnI4ocZlohGxd1+fgbEg/dRik4KcCNzW4SabDEwpnqagZCFW6m0SxcNpJu6bUQZVLI42TalIlUU5+fLnKwmopUulspdBDa1YMJ2PZZ42M8klZJYOA4fc56K2laBBoRJJy4xUxP/C2Np/8usdyxyFOPRq+HRgK1l4MI5uRD01Kw+/zw+9c5D23pWwaH+HsfI3WUo+vPfCod6l6z0UA37XhAEIIGnf0uWWH5Oy85rceGeVjfyA5cWGRt9/eZ8tUn5GKYOM6UMLOnlMqpT1IeWKf4f4nq3z+kRFOL1Rs86N0hsBl7VUXq5oX8u+VyKtntivIFQZXZKDNJED+uvjZGpDnIyIcZQ+XcpzhPBQLbmmfvRzo+eYzA3fe/ePoQqK4jtWnnheTEHP/NyrMLVRwRxReOcNRdlDWrl3lcnUxhmFY9BmEdoLtO+/s8o1XBrSTgJ7jUEk0UVZOV3IYiMoDZ0Johp1D+UazNJPEgNbZTBUDqbL/pqMFiRI4qbQN4lkSM8mAPiym5Zvn/MRpawLkxy+KNeDOmzKGUQtdKthpEp2ycSrmZ3+ky1VXJHz5iT5PHhzh/IJPnkFQQrNhOmbzZMTG6T7vvLPN970xZqUzxe/fv54zs7DSi/Gqx1anuS4F8H0vPYCm8bq6+cObp0fPsH2zx97jAu+bDeZbo/z3+6r8ybN9Zmoh2zeH3HFdn4qy+g4pOX7W43OP1Dh6vgLSh4qbSYvMP2W4jJYvfJF3yF4rrM2Wl4mVGH6vsljssGOHDOQUoxDKwC7moChWndK2CuD5hjPX3U4uS0ymt1dnyT03xnMjZluaF45WwPFwMnnilAJKeQVTrEG4jSmYIZNrCj8898Tj2OWGK0ImRvu0Vqr0EkVVgZvY30Wlxj7iMsAtiIp/ygzdqiLYpk0xpUorbcfpaUGqJKnSpEqQZCAvh9dWg9sUAC9CbznA8wdDcOfFIIo/JyvYaeLEY2Yk5u/dG/PeOxb57CNdjp91QFqZGziG26+L2LlJM1oVbJ6WJGmNXhTy6pkF9h116Cdw5Y7qzf/sx9/xuu/9zrue/I53v+3SAD+/YHDd/rseeG78+sMn50lxOXFBoQceG0cliQ5otQLmFwwvnU75wjOp9TSzOydNFWmikNVMKwtpwZgxmSILRzGMYUpKsdcy2MUQKDmwiylVZYCL4axD21wsiu9dJVBF98oQ2HnzrWXvTHM7FHo7twQtYw/B7RbpxBhBzH1P+Hzj1TrSd/CksPO35fD3Hc5nKeeoCxIfjkYrWFxmsQZFf+By+9V93n1Xh9+4r06U+nRTSZAawqR0U4uSTJEyY/HyP/WtmBy0I4uBSzm4UyVRSltGlzIbLaFLUWRdpDfzoNsw/DZ8XZYqF8uW8opjiGIPR6Zsmkj5O+/TpElMPmpaa4WjfIRw6A9cLiw6pKmk4iT8wNv6nLjWoz/QTEyo64Xpv2ukmjx5SQY/cfIc9XrtbV/+ysPf//K+kIWVdfQj2yS6Y1KTJJowhagqGKSCMHEIE4c477kzgDusbsmsAlmAdQ1r56/LUcwcDLL0c5mDOVM4ZbArNQS7k3fQK/t6FYtn3TCuWg1uO05hDXNnPZte1t7mOnnDQVJ6xETE/PHDDVLjo4rqZXmDOexrzJ2NVRo8Z/G8XU9LO0YjzTebDgKXD72xx+/fH9LUMf00oJ8K3ISCxaU0yEQUoTNrF67VorJkTYoSyAWpk3XAqwzkjkFpK1dSZVCpTTDa6rEcgruwKIfgLlaRvNtIlGobpRx5IV0Ktrevu/2htMujv4lW2TlMDnGsiNPh0TU1F3ZtkLR7kjjt46vu999yyxsfbS6f++ro+MbVAK8FEZ5yrtgy3dl+064uYVyl2TY0OynNTkK7r+lH2HMTExtGz6fAJiWQX6pRgRKo174eMtzq5J0qMaAUF2vOnLHzmYO2i0cUWjwfjbBq2E0GbEeJoZNS2IG24942JufdSMMNplNib9+NeOGo5Mj5AKNclJR4UmcyqixRhnf0RdHSVRp82ACRF33SVBEnLts3xFx1eZdvHq4QK49+IggkuKnBSQRK2PmCUgpkkrEi0m7iVv2TosTioiSNyqPWbK+so3QGblNMQBiCO88CGXtseBGhACF1EWGmBPAC1KXnVa/zXoD8UZpomx9NkySSKLGl+36oaHUdVtqSlbY942i51aGvets3b4+u6PaSr17E4C8fWsR1exw+t8Do6Dzb1o+ytFLh1AWfU7MS1YzxBrqoYBaHFWXjAIpZdGZNN0cB6eGrcgKtnNOQYu1zCSyrgvighLDd8znYs06XgsnlcEyb3TgNAV4e/mO77SmAXVQrC+ZO8Rxb2LFdQTGGmM88XGVpqYLwHeu7l2/CtRmU8l1ebuvSq1l1lTetFXHsMDku+eCbOrxwtEGYBvSURyW1WjyPsypJBu58rdDZnicP5mZSZW03VdH4vXbMmkTpbD8hDUqbYWFJyNVavDTbUApZ0thZ4rCYebg2R26DdcNYbV4TkIVci/N549nhYlFiT2Pu9CULTcmZCzGn5xIWu5rJ8RUmxi8wVjmPVwoXFgB/8KtfxnMUB0+tsP90jduvbfP+Oxe5fNMkF5ZG8T27SfQcOz2pfBpXPtQlyUYgaz1kJgvy1QY/a4BdPBdNDKvBLku2WzFPvDRzsAB4weL5oE2JclYD3Mvmk+fgttXMjLWLUrzOXqerHo6ynTv7T8Gnv1YnlB5Kqqx6ufpGXFvBvFTxGkosXnJTdMbgSergpw4ffOuATzzQ45XjFWLl0pMSL9WZeySQqckr5lYmSFFIA/uls39r9blFZSZPNTiFhWhwUkOaRQJUaophnaoAtRgyd6mrqixNhi5SyS68qB4gLooSJHmWPcmn8IriFL04tmd0xrHh+PyAgenwgbf1uX2XYal1hs99/j6kSFcD3JijwPbqC9/4pW1ffqjL+dkKDz5V4cSpPhvGBK6M8RyB8iWea4oZ3nn3c5wdvBqnOZtTDNQsMidr0oLl/sq1Je2LAF7MGbx4HLIsMXa+ycynNjlOfshrpr3VGnDn5Xs3b0zOmqSLFrG8pzPJHjHKjThyzqETeaCcTJ6YNfHYtTfu6gu7eqDRGi88HzCvh1q85gp2bRzwypGIVPv0tUeQ2sy2k2lwJezUKFtYytlSk28yh0wuhhXOLB7iFINN7c+UhlRawKvsdAqphxMCVIm5h5vM4eshg5vSaj2MQJfBbcoxglRkR0KK4gzUOD92PJPEOrX/3dSY4bvuMayfStm+ocKZ2SrPHkhoU9v2H/7lT1U3Xfcjvbuv32gBPj87S63afutSf/xnnt6/l8CtceNlkjitMxgIKg3btiWF/SDKJ+Qmicl0uSGOISrOhS/t1ktNe+W7uAyAta5DUeYW5dl5mTSRZSbPxrTlGWlVAnXxOivyKDIv3II77/ovHmV5UmZvlfV1ehHLHc1/+VydpX6A8F0rT6RZtaoMB+dcsna7GuiZ5jR6uLHS+QkKWY67UXX4u+/v8NALDZZCj0g69KXEy3oohyMf8gZeMSQQoYsYrUFn4NZZ4K3srIiMwU0xyzEHu5IiY3AridK1AJclM2EVe5vhZ5BvMguAi+LftTPDs8N8Y3tUex6RjROKvJNO7W2a97mOVGuEgwovHxbUKxG7L1tCN8Z+5uvfPPxkEne/WDD4oX1HqAQuZ04ssWmsgT/jF+xajBzOTurF5MeMKOLUzncOI4ETaQZCIxLby5eIbJqRLDWbmtWbrbVMVx4bVj68dC2w7SZzOH9QquH4MVUCtSMlTiZJnALguebWxabSdXQBbtfJ8xer2dtVMZ4X8amHXfYdq4B0kVLi59HYtXuGkl30LdOEJTYvTqooyZRE25azJHG5ZnuP77irzSceCNCOT196+FIURR8lBXHRaXMxk4syk5caTcqZGK1AGbsqaCMsuHMLVkNazE+xK0bePrhqBDMMRzGX3LGLuvELeTJsvs419iAS9hGKYuR2okGnBoPFVy8UtLoKpVRmUFRIU6hNzBOHe0mTaChRVkKfjvbBFVy3KyTwfFY6ilSv1seFZszOy4kTe3RGz7HZBFOwhClmXwyP0F4tvnKHYZVlWGhXkVlOYtUwGpmNF1PfFuByCPCi0JMD3Ng52ZkUcdXQLXFLw4GGmtuyt+vYqVUrLc2fPFJnseVDkLknIrcHv7VEQaxJT5oSyNfadrllmJ+JkyrixGGsoXjvG3p86RsDlro+kXLopzKzJ0Xm3uSfW/ZZrVL7lr3zH+mCzYf9kk6+4qrstcy+l1g9LoYgTwsNLkoyRQyBvgrguRxdXQcg7zxK8+kCgjAS9PqC3kDQC+2ErzjRxZRaY4YrghTZNjq1s8VT3eeemYhN0xCGVpI5Z88cYWpi7LKHn3jup57bO8/O9YIrNoWM1OxZ8EVXfPliZNZgHNs7zekpMHmnjwWjyd6J1Bd3ypermeTMjRiyeD4hNmO/VXPzpCjALcusnelxO9yd1eDOTzbImVuVmPsiBs/HTQxHTjjKVi5PnBQcPhWg8RHSKZpzh+nB8v5BlFwNiqWrnEUZMrkoyRNROBlFu1nqgHHYvTVi+/oBSwcrmNSzLJ5ameKUXJyhPVcOemWCO4/RQpbNFqXNJ2gpCmlZ3tuoDOhSWn1edrTy0cuFRMo2ucNVZO1Y5jLAKf3ONn7dDwWtrqbbSxhE9gSLtHQYQnkfY4eYGjp9uGKzoCrnqVdv/Klrrn3TS4eOHDvpLLY1nThep5z4bddvO8eVW30atS6jDUkY2Vkn+fEU+XKWB3bibEnxHHvYJ53hhcsLNkYNSWQYCMoZbgjq4YZTUE7iDV2UbFSCLIM8e1Zko4DLPnj5kR1prcrgLoE8O6/ezaKhOXur7HvHiVEq5v5v1jmyaPM1uTxx11zoMnuvHRdxKZkyHGk27FPV5dPN8hht5HD5ZMQ7b+/x7P4qaJcktVrcTbMhnymX0MJ5j2sOqwzkxpQkSkmuyOy1zMAn84cgVWSbTXtd7PcZuPVwH2AjJzmzi9UqYM2+ZDgrZcjvg0iz0oppdhPC2O7zhidJZL+FtjWYOLV9wWEi6JyosNBa5u/tHLxtrNZZJ9PBSSeOIfANC8uCrz0niOQK118+YPOEBAJ6A7800Gc49mE4W1CwYVrQ7Dgc7mQbmDUgRw7BfLH2HrLMcJrScMpp8f0aYBc6XIlSE24J3DIfH1dKGK4FtjMcEFSMeHN0BvLEyhMVU6lGfPOQ4ouP1OgPPKg69uBasVqarN1gliXYJQHOGv29xjIs++Jx4jBSd3jfPQMe+EaPZw55mJpLP/XxBMWNpop/v1xJzME9BLlZJRf08AZTls1TafW4llabp3q44dTZ5lJqUViTBfmUawBasNouvJR9asEipcZ37cl3Jy9E7Dtt1UBhZ2YLjs6blzUMUkEnBCli1k93ufrykFt3KqZGFUZnRsOmiR4jDcG5iZC5FZeP/f46HK/PG69b5EfevsxVlznEiUecqOz8d1G0lyllMCbmzJLm+ZMzLK7UqFcppiOVJzpd5Jjky5Zk9eZSlP+7Ut9hSaLkD6VENgd8CO4hyPPYrMFxhiOUnewQJketBrpbsLV9KGU3mJ4XEUcpDzxVZf/pKrguQqoMVNnckNLmUsg1NzClm7qE7OFUr2xoZamSaUE+nEKQ24VR5HDlloS339nl5ZMVwsQjlS59rfBS1ryX3AtnDYPbZ7PmvaDym02jlUDlslTaZymHrlix95F2WrAQdkNaMHbZDSt9HqtyOcV7te9TSYPjahq1lOvlEve/DGcXGyTaKza1IIqKeZxqTBpz9eUtfvTty7x+j8RTdfYelZyaT0mDlChMcD7xh/fjKIdWp8WmcZ+aUpxZrvPJrwU8d3COn/m+JdaNh1y7QxegHISCAycUvcjwyCsVvvjNacJ2jc2jdjmRrkCa1b51wdZrAH2Re1Jmbjk8isSCpyxNSlZhwdg5wIeTUwuJkjG3ZWxTMLVTPA9fu9nm0lExvhfx6inBV79Rpdf3oOYiRZ4cpGQPXqKKmf9ew91HSYdngMs86EvFZ4dzTVTR7VOvR7z9jpAvPTbg5eM+OB4DLfEyLa60PUFjON4ORJpt+ISwmYpSZTkHtjF25Suki7Rsnq8qee1BS5CZ9lWFdLRumdTl65vpcS2Gr9cM9bR/kEkemdu0Cbfsht/+P5e5/5llHnmlQidyOHzcQ0d2Aq2DZs+OARsnB/zM97a5Yv0Ih0+t4/hClaVmghs/T2fxCDpNcXZvOo0QgjRN2DSmOD3rs7kZY1zN3hMjfPjfBEyNx3znXYPCb232FI8+V+HCShXH82l4DutrNnhjCsYq2X3lX0yKS4J67ekCZc0tstd5eT53VXJwSzkcHukUgSvL1qqYD74G3NnDzafQZgF/RyX24cS4bkxiUu57ssLjr1YgcEDahmY3L5OXQc2aR/mbb6HBV483E0VPbu6o5PNkcqCHA5fXX9Pjna/rse9UQJK4GKHoCwc3ZZjeTIcsLlbdWhczeXnGt1I5c1s2t98LpBZoOQS6lCU2NwKhSwG5S9QDcm1eSBohMNKCXGZvQGBXsu7AZ2qkwf/x3g7/6IPLzDY1jzzv0u7lN5XhO+6OmB7TJLHLS0cCnttXZ37Z5dicZKC7uO4AYwzO4dNVpBQMBglJknLFZs133NNk6yvL/Ls/nGIlGmO5D5+4b9gOJaRtYB9vCGqOHX1W82wPZPlgo3Ih5tIg/1YAH9qDBdDVkNmHZfrSQw3BnZ/qUDyc4SGoOaDdEqhz58Q6JvZZqRjPjXnppOTTD9cBD6SLEAq3KO6YIly1agkuvG9RbJ9WA4zSYJw1oatyhDa1rXvWSlNF+d4Yhw+9sc+DTw147pidJBBrRS8Vwxy9ICvhi2K9YNW9lmdBjGXxVRs++ywz0GuZnedTcj2KolZJthTEZDIwF1758ForY9D5dcz+JYG9zrkX3h94LAOD0MXzalTchPffbdvmsl+HMA7o9TRhEvPpR2Meejbhmi2CzTOGWl0hlIsxGqfWsIGW6cmInRuWMSQcnx/w6N4qWgZM1xSBNMj6cNlVWBC50g7PKc8YsZu6PLparjaKki5bDfBCc8vcGlxzU+TMUawIJZBnbD08bMqy9nAA/hDcq1i79Jw31uZSRakE102I04RHn6mw92gFXNuZ5EiBJ0xpciyrbtyLfPA18mQoUYYviuhsKSOyKl2YSrTKz4d3CCOXq7cPeP2tlsX7qWXxUHgMNDhpqY6Q5jZdvvMv1ySGp9attS6VBKnse1KGzDwQCGPrEMZkMjQHty5ttPXQ6s2Bnt8A2tj3pkqZmLwwZWO/FvapFkSJwg0923zRyruH7O8ghbETzdwBd+5JOHx+iYMXKhw4Lblpt2b9ZEIUa5zHXxmQaMVYdcDx8xFnFhye3j/B/EqFjTVB1U1RIv9gVlcd826ackOvjaeWMyFD9+NS4C6epVjF7JfKn6wCthgeMJWzdhngQwYvgbs0FL9wT1SKckoAzySK58QcuSD4nQfqhLELVTeTJxStaap8SnDZOSkbvt9KopjVQC/LFF0+VdhcSos71HzJD769x32P1zh0zt58qVb0UmVThqko5gkiDCLNxnKkq1cSkwO9xOAqK84pIzCZRpfaYLJrZKRAZrJFSoEwpRpADm6zJnaR/1xbeWKrpqtXDcgzMhmbx6roLMo/54IqMpAHXoWbrxiwdXrA0wcTzswq9lyesGHKJYoNzj/+0R+aefK5g//i03/6DfYdmiHRUJcwtc5qVynyizBsYKUE8oJF88qhHJ5JqQppIYfjDQrpUWbstSy+GtRrQ1aylP1QOXur4YFTuRZfC253FdDT0nNJe2eby8gkfP7hGi8dqdh2H+GghK1cOlkGu9xcXJYplFj8236t0uBDq9BkLorR2gJ7FcglWjtEA5cbdvR5/xu7/PIfevS1A9ohFpK+Frg52ITJ9HjmNK9xVnIHxbJ5JlkkGCUykIPJNoLGWNfElMAtjUAUdmF2/XJmzz8HOQR/TnDK2MPItMxSp1pkTdE26xQn2UlwpcRivroU5qKxWHBUHd9LufFyw57NAuVoRmfu/hdBfc/fcg4dPzrqO6133L3Hznzr9VOixJTSgPlJWWaV0Z5fOynICi1DObKWuVexdklrD8cqlPX52njs8JzJ4QFTa4BekiRl9lbFSQ+mALqrLpYkw2cLbteJOXxe8smHqtj5K5a9rfamcE+kKMmmzPMXa4h7VZpQiJIsWa17TVExHlYStc4n8WbANhKdKlKVafHU4bvf1OMLj1Y5cNYFGWGEZJC6OLBaBqYZM6Wl4aaYVX64KiIVJtPfGXuXnouHyF9njJyDPK94lvdXJfmSs73OwK6zymh+tGKibHowJyzrwA1vxtQM8yvDRhFIUzs4v9c3tLtdbr9t6R3r17866lxYDGl4Pe6+ocvcss/cokc/NKXGBjtZKMle5+ceDos5oiQfSuV0dbHFt0qWrPW/5WoWXCtNpDClzWXp9RrmzsG+GtxDWaKy10ppVMnvVso+HJWQqoQ/fbLGgSND7S2EtCMrig6aS/i7YljBLPv9qxX46uTw2gbkVZ54KUrqZLbh0B+3UuXKK0Le87ouxz7pE6UKhEMqHPpC4KT52ON8o2tK78mU3oEo2NGQ625rYWJM8R5VecURZphlyWxAYwR6lVti/6xYnfWQzVV2M6RZkE7rLMSVQpLnXOTwMy06j7KjTeLEJg2TBHs8eGLPFZ1bTjg5F7Pnuj71oINz8LxmvBIy7i4zNVrFcwL6YZbmiiSDSNmBm9FwuqzW2vZgFsRU9qmHtl4+GLLsnFzknpSKAZcGuLmIxQvWzljcKQG7DPSLwZ1p7vyIE6lxZD7UxoLddWOOX1D8t883GMhs5IVwSl3zeY9oOQNdZmrBRYi+lDrJCywwlAZ51c6Usiml0n2aShIlUVqRaockdfHThL9zb5fPPVrl2HnHHnqjHWLh0hcWMIV9V95srgF57s3ndmG+wmgECvtZG9YyuLZaXGTOiKHY3OaAvajWkbF5WrrGaeahS5HZvllldNWilzVlxNnY7kFkCMPUnpqczSwMI0NzIKjWQ7Zv7nDlVgfnys0OnWaD5/dv5PY9cNmGDmGkaPccun2H7kDS6Sk6fUV/IIhibY/hziinqErmy9Japi4AvMZhuAT75Y3Fq8BdsHipAVmZrIKZDcHPT1OQZXCXNpUye6zyu0sPaeWJ60S0I81vfKnBuXkflJUnQsqhNVjS3MVrLv69RMGa3x7rq2OzeeNBuUczL+EP2btohpCKNHHYOBXy49/R4Rd/x6MV26lHxkhCraxtmOZhJ2ORVQiTIchNIXDFqjdnckmVsbqtbNpnbcwq2y+3FMsgF3J4AwiGlV5ZArsoS9J0uMKL0lvUxnaPRZE9577bT+j1Nd1Q0wtt2GoQw9QIXLe9Sq83wf6TYzgzYxJHa2bPtXjhWMrNuwfs3iLp92s0uxW6PY+llocQyo4Ay0I05SPhxBpAC3kxS1/ywWoWH74uNxgPQzw5sKXMN3k5c+dWoS5p8SGgczlSSJTiqJOkeHZUjOPHfPY+n1//TINQu1aeCIUUEk9wcVPxJcrywxhC2ScU3xLcxWaTUkWz0Oel7E+pulmU8LU9CjxwEn7iA10On/L47T+1WhwUqZAMtO3dlCkFgw8DWPmKM2Rsw9CuNMbq8gLcxhZllLCAk7ldKE0hVVbp7ex7LRj+u7pcKxiCvkyGa+MdOQEkqT0kttNLWGymLHcMnRCWeoJunHDl1h437I5oeDHNzuUIR+LMLgnOzwqe2usySAIefN7jXXeu8H1vnWPdZJXzC1UQDVY61gjP7T5jLl1qv1Tu4FuFbS7++6szHTm4i46VXBrIoc5WZdYufr4a3KudkzwlmJSe7azB5RX43ENVVsIc3BbgrszGw4mhc3ORnMo30iU8F7Auk+JF8mR1dHS1PCE7MCCTheWcuJTZzHWHJHUY8VLufXOPLzxZZamjQMagFTFWj68qjxe6+1JyJX+XogC9KhWF8nyKNAYjhj/TpWtushsgXzWG2CjtAUqvy8Wx1VgaYsrappZYk9Sw1E0504TzS4LAH/C9b23y3tsE0yMOy02H+qSkUhU4126DLWOSehqw0KxwblHw5EuGHdtOMd1I+PwjgjD0GPMqhVddeNpr7zhxaTDnRJGT2Wqgm1XNDhbcZZYcam0pTFaavxjcqhhOkx/zUWJxOWRvy9glPZ47J9WE+x4JeGZvBZ1rb5n1XIpcnqzOmxRzQErsvcoi/DNJPGPPklVYPh243FJmyptOI1Fm6IsnqYujE267JuLdt/T4vfs9UBEIiRGCUDs25kCuxVe/nbVyhZIPPrQyTVGWNxm4ddbBU+jw0sZSmvK1H4Kc/NYpwG3WYEJcpAiGRUJ76t2W9Yqrdy3SMz3+5FHJxpEBb7gmYGFxIy8f8DgzH7JzZ43JyQBnsS1Zbiq6A4fdl0nedWefVHT4xP3jHLgwwoXZgPWjkhu2xcxM2KOsh4eRrvapyz14F+21SkDPvy0DQZWKJWVZUgySL2ZxmJL/bbJNph4yei5TVBnUObDTTItnEkUmKGkHvx87Lfmd++rMdjx73rW0g96VYHhiw5qN8MWrklgF+LXsfZFEYcjeq1yUcjNy+XS6VV339vwc+2yPP5mppfzQu7s8udfn2JwEEQMKjWQg7Fk7Vqpk10pnoM7fsFkrk0wmU0T2nHnixuZIRP5+pWVtUWJyUwz3ySMea+ICa+76VZ8hXNTgks+4qXiC9ZOSG3Y5rJtMedt1XY7Npfy3L01iQsXl61PWjydMjWnGRzTO1dsiBjM9rl4/T6Ql862YF49LnjowiU59ds5oZkYNvmvfjJR54+5ww5dvtoal1G9hi5nVf3YxQEyJyUt6u5ArQ9Yu7EKlV20s8/Myy3o732gWulumONJKE8+LCVPNr36qweMvVOwvJx2rvaW0XTtiOH+laCZYdUgq35LJyzi/6DNZVcEcpgyLZX9VfLYco7XtZrldmKaaRDqoxOH1N0b8rQ+1+flf9QgTaRtRtSTJXBWp13T5MNx0GllKOeZ/LC3QVTkJKSzI8xneltFz98y+1mUpwurPYvghmDUf0NDKzDeaeSuia2x3P9gjTY6fG6PT99k802F8pM2re1q8fDTl8HmX5w5DGBg2rhc45xY0rWbKsWMxR877fONAg0HoM1FRTNUTRquCkZqiWrHD4YtBlU52VowaXvi11buLrLBLLNCrAvGr2LucStOlws5wBocjTdHtXQZ3PkNvqMNz9k6zv5MUDO56CQ8/5/KFx6uEkQsVp9DeBXuXdPe3i8SWbcIC7KVGj7X0XQ42FccprgI3Wam8xN5mOE9caitVcqAniUOlmnDv6/t87fE+Dz6nrG2IBCGJhUOfvKo5lCV281eumQ9BPix0lnIp0oJcgtXhZAyeeeFlwiqv2hdhuxxXyP61/CMsA9xRNjcvBDiOotuTLCsHrSsMIsVkw+d77unyvju7PHPAY+9Rl8s3aiYnNM5YQ5KGAa3WDIsLioY0TI/ASNVQq0hqgaJWUdQqDpVAUPGz+dlqGEdV5TxGGdyUNeTqX6q8SslLgDz/3yyzeBncQ/09HAxZyJEM3OW51qrknDgZuD03ptk13PdklUMXAnvXChuJFXLonAwnSF3M2quBbtYA+tvok1UXWhSW3KpGCIZnil48HGhYvpdCIdMUKR3i0GHnuph332UvdivKyq+ZAxahyM+BkFhvPCmW1tUjmvLiTv6rrJIsIpcnw42nyKRJsZrJSyF7+L9TPvG4zH5lolNSFGOejc5XPok2ijAR9ENFt+cyUqvgeylTNYeGZ2h2PYzr4NR8gz894Lrd85xemGQmcRmpCYJAZmezKyqBpOJB4GPPqXGH3TEF6ErsnS+55SbaMsjLLW2FpCkBfeh525kbSmRMLUobTKUL/S1LtuBa5payzN5pAW7XSdCk/O79FX7983WMyKVJmb3tSLa1ldVVbk95U1mAuwTyb8Peq5J8lMCdDeU0hQe+dvpV5ombzFmRdsOptCZOXaTS/MT7ehw97/LrX3CIkwzk2djkUEiUzgdJDMGNtOOVi7cpSnJFUjC1waBy5s4ZnSy3VHbT0uEGklW/I1nDsCl8/kuolUKGOkrgpII0tUea2FMw7HiJ/kDR6UmaHYfRuqY9CHnhRJer/Ai/onFeOeZx8ESVz3xljG0TDusnFCM1h0pgD0ENSmdEFkMqs0ZdR+VAG7ohOSuVz2e0VTiTNS4PywwZT1xSnohiFLG5SJqoVSDXhUS5pCzJz5gpuSZKxrhezNFZyRcerdHtulCxZ0Ha8yBtWd7JvXYx1N6rJErpJl37Ogf5n8XhpkB3CegwZG8z3GCarOlgFdDzR7bhlNLONKzXEt53T48Hnqhw9EJWfs0GVqdC0C+/0zxCawyFyU32n5CvJlaqZMZKxvai+F4zdJYKqy8nrxJB2yJWdtJENuov1eYikJftV0fa4F/sGKJYEMaagSvpDSQdz55CXQkUvYFk40zCz/7AgMQJ0SLCacY+Wnpsm/K4YoPP+IiiVrFSxI40G3bE5E26ReuX0gXgcs9zOMzFDk+UiSFOs0VRDFNjlH75or2q5JYIUbIHc4uw5JwMpUf59dAxkSV5krN4XpJ3nIQw1nzt6RoPvZilBUvsLQVWnuQZ9NLMkRzcxQq0xv/PcSP+LGSvJvTVQC8/sulruij6yMwPXiNTtCQVCpVqtFAkocObr4948219znzZJdRWh9tWHUGCQyis3JCFRsigKMuQpPi5wX4e+Y8MJgO4LdPn/qMprcaYvG4ylCZpaaalHfnHqlW+LP9UfopHPv4jb0N0dHawgcDNTslrdRTdQUB3aoztOzxqdYlzxabNzaroP1C73v/OmTFBNUjxvfwclnzA+VD/OuriDV0uJURWBcvH3oaRYwPsBoxUtvtDGqQZbnEoQLN6UpJapb9z9h563eWh7JcC97BamZXiZYpUtlNHegmPPefxbz8+Qqod8NRQewtZjGNzig+5JJ/KA0LlxT73RY7BtwP6mmJPuYKZN0AMgT2cHZiPF9ZyTQEokypC22FBnpfyTz/S5tBZh8eelWhPDFEoBLFW9KEUCBuC3JRAna8oKo/SZuyejVWxf2vVZjMHub2+xZRkssCUscwdJhDGNlsSpbahOH8HMrOOi37bzFTIG9qLoUOFfJT2BGpPML/ss/6ymQe2zuxuOs9+81Nzg1j+wtZp/Z0371yhGyZUgoSxGvQGLoNIFeXiAnyZ7Sbzokk2MzrvydSpTbop5WHwLIPncU2GZeJhTmUYXCpGgeVALlUuh8xdAviqmy0LUpU3lxl7S5kU1uCZRcmvfbHOyXM+VPONpTPU3tnmUoqLizvf2gPPL2iZ3YdOykVAX6PDKYG72HAWYM9lSgZuaeOitk8yr3Rm5XspkXmFM9Zs2xDxE9/Z5fgJj1Mr2TIpyptOuSbvmFcxS4xe3KyZVZi9OZMtCOiMqLK/I6X9UU7ql/rdtTZECXRCQSsS9FNBpIf/jZOtoPnpefmBY/kqCpAYe/JaN9SM1mLqPnQ6kvFxxb59T/3Cs88/Ned0Qnvo5oVmwnPHuzy7X9OoG27YFXHT9phNYz7dvk+qbSuRlEMgBZ5t7XIyZ8IOejQYbbPly+0RkkTR6XnFcXl24JUplvEhuPUwb/ItdfdwQ3kRg8vSzbaqHJ9kBZ0UpWJSL+V3vjTCFx+pYQIFQhWJQSFk6cM0q/sbv5U9WAA5g/KldPean622xkpA17aAsprFS25DqcPHuhdZ949cM2ZCKKTWCOEg+yn3vqHP/uMuH/tNh8hPKB8GZrRTgLy4GVeBO28uMNlm0job6GHElzLQpa32ZGdI2f+F0upWzqkMYsH5tmCpn9hjS4zO3pdEKAclFY6SeK5tpMkjEwCxtqPdRhsdbrm6y407E8bq8NQrVaYmqriuQwWDs++YvShJoojjcVptST8x/Mk3Um66cpl/+j1LrBuLiGPXVhxlSuDbMyLnljTNvub0vORTXw8wGTto7NHS77x5wES1QbfvEMf2bPqCtRkeVlTeMQ/lSTlzooc/V2VtnduDaYnJh3pbZppbZptLqVIeetbn41+uMUizapXIH7brqMicrNpYrp2a+m1CZLBms/lnaZWMsUububV2YTlCawpAZxpciozNZcbmEiOtL66FJtUOvqv5yDu7PPWyx4Mv1ux1YpiN0EYQZv2WFrirQW4yZlYlb9zk36+RY4YM5EZkPrn9D/KSuxC2IiqFIIgMN1+5xDtuW0YZDaS2D1QIPvX1KqfmfLqRx8JigPAclGeDbyDQacqWyWV+5rtb3LwjIE1rhJHL1glJvWrPO9UGnJuvqGaiKUEYxSASnLqgObegeW6/ZN+JJltuC3GdKBtpFvPsQclLRx3+5KkaJ88G9GKfkwsVm91QCldJKo7h6PGEO3cHbJh28dxhpw3YUv8Q3CVpUmbvNSd85ZtKuUqmlMCdbyLLGW9pbUHHiemFgl/4rRGOn/MxTom9M9/bNjRk2u8SzC1LwF3lnlAGtFh1wb+dIF/dj7imbE85fLV6zNqqbEpR3cxkilCkOp/TrRHaQUYpl29M+NkfbfHUP/HpDPIO4OE71yhCIwoXRRTgzuRKtpk0ZN54rj2ktTTt8m5ZPN9biTwKKPKS+7Dja7QuuXYX3Pn/a++9wzSrrjPf3977xC9V7qoOdKSbhqbJtGiiEUi2goVsS5Zzlu2Rx3fmzlxHWddWsqUZX3vG2ZaQbAvZlpUFCEkgMiJDiwaa0IHOsXJ98Zyz9/1jn/RVNygbSfee5znUV0VXOvWeddZ617vetdnlrNUBnmst8lwVoVTMqy+YoZNo9hyU3PJAwOO7Kjy0o2qn5ZWDMppNqztcdHqVE9NLOHjMY+8RQ7OT0KgFhL6L1hrn6kt8hHDR8SSzc3u574k6lXCESza5jA5rzltXQTKPcts8s1/wb7dX+MQdDU5MV2hqnxgX11HUK5JAQegYqp6h7kMoPabmHAIfy6372WOqYFGk6Ad3PwVYElGV0pIi/y6zJQUtKEuRXKbgjhP460/V2PZsUHDe2ZlqTlxhSuNoBT24OM/OO4EnsSfpH7UvTzElYJuTQN6Xi/fl3eWGiGWeTlIbijSiixJ9mLnTykx5qEiEg9SG886IeNuPzvG//n2AXiKBuPgltCCRim5CDnKDwF3UBDIZZ56nWcLqTiiB3IDIClBR3MRSWivuwJPUKg5DNUm3O8D+Iz7VsEfg99I1jTHDtR6u22PNkoirzmtzbLrJJ++c5V/vqPLM3iqRqPLIs0v40I2S0UbAyGCM403x8A7BxOggSwYb9OIYZ2jFddRrNR5/Yjuf/fIc9WrIqgnJ8jHNyqUxoeuASPjkPS5v/8AYRybr9FSA6zhUfUHoQKgMgaMJHEPgQsUzVEPBYFXgulhj89gqUI3JL4uNMqWRtHITZ/H6uvKexqyoXAzuYmFpnJ+OinGChNsf8vnwJ2vMtV3bwSkVlsU4WtG1zHPFRaN0hTVbv0Nukb+WXwsKT5RymO6P3OWP9XV8+/LwRZM+sjDqtGyKQCcSLYw9ExvNbTNIkcSaeqD55R9r8tjTPrc9qKCSPSrSX05zEsjzNEVkhScpY2JSX5MiJ8+wL9KnjDAlxqzESGVb73qxYHLWRWuodR0qgYvvxek+0ijdjxThexHjgz1+88e6vOWaKd7+gR6fvten3a3w1ecNK8c6LLQdlo4Ocd2WDq/YeiGr15xNu7OAMzro4Acu608TvPbSHq6rUCqmUe2xfGyeMJznM/cpfuvvxjk6N4AXugw7gooyhI62+yVVsQ4k8KziqxIIwsAufRKi/w9JH9VWRO3y0EIO1vLrPrAv5riLFCXvYMoY6cQ8u9fhbz9RZ9eUm+69t8C256mi96mKS9OfnixiSU4K3KcqNsnxclJjp+C/i1w8H4Qotba1IR8CLlKWIlUxRhdRPEtZ0o3EMtKsHYr5T29aYO9Rh52HBMYpJVi2FUmCpKuL9MqQFXcp2KVlc8qN/Uxn3verZhHcnCIdMxBF0OxIlHTTvokiyAHupvtJY7yetfHwPJ+xRof3/WqbxJzgpgdd9k6FaAzTCxE79tuV3+NrFMtWujTbLs5CW5AIwbFpw65DHbZs6rFy3BD4bWZbLT79FXjHh5cxtTDAYFXRcC2wA8c6WXnpxgQvPX1XEPhWtxv4Cs+VOKqgA0UJMH2FZd/AcJn6MyUwl8RUIovii8CdR+8I1485Oid47/V1PntnBeOWGjo5cyJKuXfJ76SvuDz5zP+mpfdzYJdSmFJIXxywXzKilxs9+ZhYudhMQS1MZoUs0w6h3XSmRfZaIoSDTgwxDq7UvPGqNnNdye/8ueLYrAA/y8ezXMICrpvmrQp26wAAUHdJREFU1FnHUmeNvEyDkgnE8mLThvAsCFgnWFMYeZqMC7dDC70I2h2BFDIdSRP0IoHnqnwJr+c6eE6C67r4PY9uz6NRc3nfW1v47hEeeGqYHUdrVB3JyqUxZ66MGR/RVEMwCThR7BGYytFeFN5aq615Vbd3iOnWNF99Kubjdw/w8HMNom7IeENQd1NgO+CpAtjZDhzPFXiO7SoFviLwFJ5jd8Tn/iWL2JGyUEqWXi/uVEpZTkl0nmdLqVGiiNoyz7sTemhuvr/K7Y9UbN6tVM6Y5MxJlpqUBolz+e+Lcd6LXveBfXHAFqdC9aKPnUKM1t/4KaUrUAiwUl8SrW2QEkKmDSGd2jhYUZLWGi0l0kiS2EE5hmsv6vC6S1t89AuSXpwS/6YE9NRIqCNTCwuxmC7sLz7thAMILUjK8gvsGKjK7EdSbVIca3qxQPWkNRMydtlCFIt0y7Qqtkw7Gtdx8dwE33Pp9jzqVY93/WKbx3ce4WN3N/jq8w2U9lnSGCf03FsHasFRHXdQf/VX/5v/41fOnl02Gs+67txP3r/9AJ++L+SGLw2z++AAFcdlvGoYCjV131D1oeJD6EPoCULfagECT9ozBXbgKQJf4nvkehavb9EquRlm2YWqmLYxfVYP5RnLIpJn8lcL6kwC66iYRCbceG/Iu/+hwQtH/WKIQRZvhRT4EoK8mZDpT1KHrEXmQsUacZHnk5nDqpUVSIp9QiUv88xdQMp+K4wsx198LipoF+8LzZ+EWYcVkRfpi580xYrtLDW0gqqheszGdTEHjil27nPQpsxtFo8egyBJIzilt/bGLD+WitflzRZZvZINL/T3E3IzC3v2rRNMXQRSb3q7TtAuZIhS+zpH+qyZcLl8U8zK8Zg4aUOwlqnOyH+799FdD73u2svtjp7HdmgqYcJDXxXc/kANpeqsHYZuLQbSPNsVffZsxcrsbCdluiLblXjpaf0KU01LiSYspt7Noml3nU/dZKCWWTqyKIpnFKH9WAFuKWMcL+HACcWHP1Plud0+VLN8O4vg6kWj92Jw9VGCp4jsWXOHRfg4adhBZCG7yGsXB3P7h9aLGJUiehcLdktDEandQpk2lGXloZQIo9DGILRDIgwCRdTVnLE24hd+ZIFHnvLYe7z0+MmbNoBWGKHoIUgE+AhbxJa2QJhSypJz+Vm6IkBog0wKrxMloCdNvhkZrGG9Tuy6QDc29JRJF4iZdGNe4efuuRrfc2i2PaBKq+MyUTe8+oJ5kiBChR3QHSBdQrV0xTn4fsimtqLGUcaGInYd6nHPNg9HpsIrR/T7DsqT1/c5yhaV+VCEC55nikWrzmL74qRkiFnw2U76enFaIkR/cWnz8LSgFDFSWJpwel7yFx+tc/e2oFAJikW8d/pUdvs4b9NfUGYfp3jcilOAPmdNRAHo/henPvIMpZSq9A0BlEGedhRt6mHQZG5SKYWYvdYCLYo8XGuNELZwtMyVsiDXhqRluOrcLr/50/O850MNZloFZWjBnVa0GIxWxEKigUgIPAE+BjdlVHQO7kyIUawzzJWiiSiEdbEuUjxDmkqlu5/iNHCW/G+c1D0hWyDme4pKYBt4d27T7NrvMVIf5g2v3cCF551Nq90uAL5m5QTj4xO3LZy48f3e6XO/c/fjHR57roqSgsGaoOLbyOw6pQVQ6cSF3cJgL252A3j5Dnid74K3W4VNmk8Vi1ad7G02Q1luucukFLkNUmQRPSmBP0GKOGVTYjrS8PefqXH9J2ssJOnuwJwSzPJvazNcVgzmXt9ycfReZOxTDtXlYlJkf1TJN3SU8/As8pVa9Cfx5HmRmQ1ElLnxFNg58IuPCUALu18+Z1diTc2LeeuPLXBsWvKXNzRoJ1hdrDYFyDPuT9gtHz0hSKS1UfOEITYCz5TWuGOKFmbKvAiypr8o+iC2gs2bWlrbXZmOU7JnFoXnjk0JZQpwTbenGGpoLj93GjeIefi5Me576sj7f+g1P3bbsaPHC4BPTCzl2p97V0tI+cL83ChJa4GxmsPosKReUfiejcyOKvwEy0eWGzqleU3P1ekWYXv6rl2w6rl293sfyEsegWVdSZaeZGDOXguRvU5ywCsVg2PYsdPj326rMB+rFNzl6G2TXgklG7ZSs0kUDZ7F0btcWJY7mmXWpAD71zb8OQW+82h+si48S1VKrXydpgqpHkbr1HSplJ5IYXlxaUzaKJIp4JU15RGaONLU/ISfuLbFrQ/4fPV5a79WpCnZnaVBJPm1TIykIwQ9acEdG4OXN6QEWhWWbzlBnv+mKfgFYHTOrGhtSBwL8gzc5WuT40wJXEex4Bna3YCx4RGuOWee6y7tUa298MKOB/9766xL/qwAOMDv/9obCIKAB77yFZ7f8TjDg0EakYs8W6mC7kxSsXqmj8kKLjdbtOqafE12Frktv5nSP06C62ZbzeLSgHCSR24hrWxXpNJdIcrgziJ5ghAJ0tVs3+3ztvcN8uROH+PKPNe2ZwZ0kY6hZRZspeh9KvZELgL1i7AosOjG70P3S0O9rCAsIz+3dGNxLi5yl9fstU4dX41IO5upblykbIvI2vlp+iKERGhlr2nPsHldxN/87ixvfa/gyV2+RYZIwS3S1iTScm/ptTRCkhhJW0giI3A1xAr8XE5gMKoUyfM5gEKxaEfWdD6hlGi7ZUKlF9cyLzr3w8wyBpW6GR+fFuw/GhB6gldsOZd1ay+h2+0AiwB+xuohgqDC5KGAhuwyMQytjkOz4+Q7E520KIi1pNsVtHuCOLF/PBvBM3DrAtxpUeC6Gt9J0v8X47qlNdm58XyhH8mic6apkCJ7XX5fI0SCcg0LWvJ3n6nw1R0+iSoDOktN+gvLTFRVjt59C6QEJ/kOLubBswJz8bC1KP/3pbBtTv2hYuqpDO5FWnH6uXEysKSiKZG28qWwwM4MeLSRCK1TfjyV1qJRieG8jV1+/bomv/u/XBaSFB2pFLa42zOQC3tNsdc6NjZHj4wgkBboSTltyX7W/HdKQZ6nYzrv0jop7Ql2RK2T+g8mqeYly8+1gVYHml2oV1qsO8MhEWNEupVfzxzg812J8p1dTx5Qu/fvjda+cfkJ6tVBZubrYASumxB49jQIjkyGHJn0UpPFLD0p5dolcHtOkkbyOF26amci82WrqpDcynTqPXstSHf/lO5+m1Paj0vH0EoEH/5slU/cXqGrSkVlxsPlZ3/0PonzZtGsJYuBLfrTklNUk7kuJX8UvzjCzaleZx2/xZ1Lyl3MMrgL2awQNkUpupxFFJc5R24QRiGMQaS5OMYWnX6S8KZr2jyzz+HDn6nSjAAn08OWfuncF6J0bZUt4GPt0JSSSEt6Cip5Xm4bRTp9WvWBPge5lVpjZOorb6d+Jmc1h2fs5al4xlLOjr0+020NzgJvvCzh8gui3QN1uavq6/y6ZnIC/up//zmbL7xi90ijMrZjd/PKux+fp9epMNJwGGr0mBhpsXxslsjM8cwBzdFJn07HQwj7qMhSkmwo2Xc1vpfYt36STlvEuZjG96zhjudE+G4P140I/R5hpYPr9cDEGGIQCYYEL9A4XmL/MKRNIQcWepIP3VTljz/Y4Ni0k+4wLEXuXFQlrUQzFdFnW4rLm9IKXrvY3tDfrhf5/8953VIhZB2/yisPJX17hrK3i/nujBMXFP7pZR1MyUks09D3P2GKyauC/ckCQfZ5piia07ey9Jo0aajXNRecFTHfEjy9W9GLS7ef1tDRCGPrKCVilIjt36qbQC+xeTqaxECENe8vD1eTa2rLR/qD55YT2XpI21sJKzEybLF/KmHfCTtE7UhDPRRcdJbgh7ZMc9a6FYT1s/96enLPB5cs33pyBAcYavhUK+Etw/Xgh48dWnLuQlOhnB5jg02EmubOpzQ33l9n9/4aq4YkG1ZohhoK6VkaJ4vcvpdG7rSgzHJvG8Gj9K11c/VSYDtBxNS0Zs8BycyC4q6HPY5PK2S6+ejarT1Wr4jZvCrGDcDEAlz43JcD/uSDNY5Oq1RElWmdy2mKzFvyiqIdrzJwlCjCHBCldOUkc58yg0L/6+LfiK+ryCynIKdKW7L8PP93nCKC513Nwmoi48NNHsUlUhhroJp5eacf02lLXxuJ6BkmBhPe/isLTM1L/uXmEDwg0jg+bN4QsWZFzDWX9EAbpIJj05K7Hw6YXXDYddRjZsrHBB7a82grl8goekZQ04LEMSW2JYviJmePsvXfSgmUJxhsOGxYFbNiosPOwy1ufMDnsecbHJoLGagaqq7LYGWCmfn6V4fjxi1Rr9V3/foA/obXvIp3/8m7vzJUEY9efb577uqJDhtXzdCOJ/kf/xryyDMDJJ2QVSNQ8+1fWYoyuO08p+9pfCfG8zKAlxRibpQDuxJ2UbLHU3sEt27z2LHL44mnQ5qxYvdhh247rb6N5gsPRIw1Yl65tcMbruqwdVPMrn2KG26ucOS4A0GWMywGuUWqFP0eJxlDojhVcVkSVlEAtm8krZyWlP7NoozlGzrKrfliwLF/f06m/egfishYFbtSWwuRph8mB7BMmzMiPaUp2vpWz5IC3GiIDRNjCT/92jb3b3fZc0hyyTkxb7iqwyu3dhmra9YuSzLbWDpteNNVHVqxYNsOh2d2+3zp8Qrbd1cwBESBz7x2iYykVsrLdfpQ0MaQudqS8uauKhyMm22PXmeYS89QXHj6HA8+3+J/fmyUJw/WkTJhvu1z+moe3X/4y1/5tbe988UBDrBu1VKMkSxvbGe0cYRnDnf4tzsa3PPYEEtqkhXLDCMNyfCASyWU+GlO5LuawEvTEi/Bz0GdpSVRKoHsEXhdXLfLzgOaG24N+dIDVXYeDGjFHnHkpppKAXVjCxodseeYw55DMU/scbjpbp/rru7SawnueMizYqE+5VN/7i2E3Qzm5NvRigmdxa3xxVG7nI/nEXpRXv6tgPolwW5OfmuZO1HKz1MPFVEWYPV3NoUpwC3JorpOKUWJTAs8u4cpTSm68MotXX7tLS2iluC6V3Y4fXlM6Gp05NCZ90m0Yz9fwLoJg1CaTcsTomSenzzY5AsPBtzwpQbPHqiiVUjb+MRaEad6lESDdrKJJZMXntZRQeP2BK22ZnJGIghZaDssXxJwzTlzSDPNv93ZY9veOtqrcskrTiOOT67aTwL45ZdfgxBO7+DOA3z8nr184u4xlA7YOAEjNRioOfasKxpVQy3UVIKEMLAFqO/FJYCnMkc3O7v4Xheputz2mMv7PjTEI7uqdLQPygfHQfhZBE6ZAZ1A0gO/A46m05XMLkg2ro6ZnJEoB4go9c7lIpDbvM5hESVIkW/3bQVeBHRK983iKZ48eosion+9/PdLhfCTInYWzaEUuU1fBNfGFDShTvXbeRRPU5ZFUV0LgzAaTZHO5FMK0pBEkgOHFFOzgp+vGUJXE7cVUeIRxR5x7JJoZe3asM4KGe27eVWPjavaXHFhlz/5cJfbHq2T9Cr0nJBZ4xIjqWXcfHqDFelKFkw0QsQI4ZBoSS/2aHUVI3MB565e4NxfmuWjd0b05FlcdvkP9qIo+doAHxsdJQhrv33Tl9efeeejk1eNBwnjg5JaxVq41SqSekVSrxrqlYRqEBMG5SKyBG43xnN7+F4P3+3i+h32TWv+9CMN/v32ARY6FRLlI3wXpRS+tC3gzGlWG0EncWlLhY4MxBErJxLe95tz/PgPtXnieZeLzwy4a1vWPVwE8hShdkq7mMq2ebYpWvB9Edv0gflUo2pl0Jex2UcPcqpo3z/UcBL916+wzr9umU7r042n6YptNoo8umdROYva5bey9H7RFZV5i92UfseHdrjc87DHk8+7mETwvv88y/JBQRy7dHsB3cgjjh0L8HwyS6ebon08r8dFa3rc8PYZ/v3OFn/2z0PsmYpIdIUF7RM5kji1GUm0ITaZpYRJjaI0SWJ3Q/Uih3ZXMd90mJ5TNKoeowMhP3VVxNDy4bsaw8t/u9NqsfhQiz/w3vf+CVsvu7I3VK9eqnrHzlu5JJbjwy6NmsNQXTHSgKGBhMFazEAtplaNqAQxoR8T+DGBZycw7NnD97pUgzaR7HLTvQ7v+MAQNz0wRCupg1fBdT2qrmLAgYZrqLmGqmuoOPb0lW0JR7FhfKDJH//GFG++po2KDctGE8aXaB550mNyNrW7Ff2t+UIxmFKZIn0r+/drFkrBguFQfUxHsTgr3zu0iEnp97POtsv1syiFsq7MxvS/zSlJkQ1ol4peefJTJmNSoHhdPFkWPaEof36RqqmSzsfxNDsOOLzjrxrc90SA8STP7XY5NiXYenaM5wQ02xVanZBOz6MXuUSxS5xuY853eiYOWitCT3DuuoiLNrVodmL27xN0YkEiJBE297ddHZF7plhXNJMvQItiQy/SdHrQ7AiOTcPeIy6zrbFkdMmZtx07tOeT69Zt/NoRHCyR3uvOv23dKu/iqjN/3txClW7Pp1aJqYUx1TCmXokI/AjPtbRQJojKVmK7ToTvdqmGHZ7ck/C5e0P+5nNDHJ+pYYIAx3EJlaSWTgZ5yg5QuJlMNY0icWK7bnE75hdfO8ebfqCL6LrEGBxiLjmrx2UXddl11Ccunm15iM0pP2E3FeSt+UUUYJl2Oxk8/RM7p2zefEu5yYsfWaf7ZAalNBAhKHLvrMg0Ji8oy1FcmjLLYieAsq4pCIQ0RLHgvkd8HnwqIJX00UPy8S97rF8t+C8/CgvtCnMLAXFin56ZKZRSCa7j4Kok7XdYoPuewyWbO2xYOcffrIr43L1dtu9q0AtCEuPRM5IwgSC2Vm0qvbF9x3Lf9UBT9Q3VMKEWSNqRZr4bU603tk9NN9820Kif8vqdEuDXXvNK/vKD/5hoPW62P7uPVUtgzbIujWqXwXqHWqVDonsIEeMoTSUQRJHCTk9rHGWpv0rY5ond8Nt/Pcgdjw6QBBVEJSBwHGrKUHU0YRql3XRCyFrFWZuubGNbvQLnrO3x+i2KqDVAjEapCGMEQ0M9Ljizx2du1Ux1yT6pPz2hvx2vxMm5t+TUDZ4+CjD/T37/LAK1vRm/eTT3a1PKp/1gqYtZ/v+lvDwrKvubQKVcXPQDPT9TelEImO3BYzs8ZqZdqLsgPZAekSv51FcCNq5o0QgadLouQhRafivTSIozsZbbOt9EoWiEHd7xS22uPLfHb/2l5qs7NYmvaXkeXalw0qAUxzb99TQ4PYmZUTQCwVDVMBDCygmH885MeNUPjBhHHU7OvvCNXz/AAV555SuJo+7HHjKHN7Rb+6rNqM1ZE/MsdCK27zM8+JTH0RkHXya88comWzYK4kQhpSbweix0e3xlh+T9Nwxy11eHSKohjuMTOpJ6mn6EqYzWz6aE0pXgXjYd5NpBisG6w9bNdUbqMD3XIfA7+K4Fkh8lLGkkVKqJBXgORZFLYvv13qWNEeUmzkmNkqJ4PGW7Pv0+i4tO+Brt+ZfG98ntzcVOV/QL/DI2pWBOQGhpC7TM7L6PUUnBnRWksgB3duWaTcmxORu5kR6oEMfxaLgwO+Vxw80DbDnLZ7AuCT3LnmU0sefIfOTMSxKSJN0Il2RbmhV+orjinA7/8zcmef8NEdt2NphsV4ldj1gopI659KwpfuzKJo4QHJ11+MqTIfuOBOyZcXnFWIxQkm6yprlm3bUfq1SCF72mLwrwTRtWmm2PfPIv1p++8m1/85Gd1WYseXgXPHewxvP7KszO+PQi2+ad6x7j4jNmUFLg+z26cZcPfMbn+puH2HeiThxUcR2XugM1V1NxDIFj0kGKAtwZqH1H4Ht2XUqt4jA6JEm0z/GZhKF60YVTMiHqOFxzfsSGNTEHpkoAT1WD+XYGsUhUdVKX8sVy236a8DuSh1Bq9JwC6GUZbQb6otFTRPAM6LqcnujsJk1ZE2H14nZoQeeGnuVH03N7FLc/7oNvAS6VS90RjPqa0aq1dTpyIiGKrdq0EsiUIhb4riZOtHUVzs6+NeTZ1mbF5ZtbrP2dGa7/fMRffdwwH1XB9fBEzC9e2+K1WwKMkfTimB95xTzPHpzluYOKs1eGNFsusrFm8qY7nv2Ln37TG8yLXdcXBTiAWz2fmpjlVVseoh2d4C9vHubY8RrL6rB+3DBQEVRCxflrRplrauqVFr4b8eCzko9+aZDdBwehHhK4LnXHFpAVxxC4i8GdAtsF37WuRL6vqPiKelVSSbUFcSyJYscaS7oqLWQkww1DPcy0KgU9mAmrsq7l4mHiAuSl3FueHL3hZIqwD/TfbswXlMxJGpWs+5eBPGdQ0r30fe9TRHBZZlFy24miwZPx4BiYbwmm51RqSqpwpaSibFByUkf8djdhoSnBOCSJII6tzDWJrQAvs82OSyNodjW5zJ26MII1S1v81Ktb3Pe4x91PeAgvoOIHPL5jGa6pUg0Ng7WIsaE2V2+eZ8OKNn/zmYBGOMrbfulMBhsDL3kpXxLg40tWdiePPfXrZ29c+vHW/IHqskaNIWDlqGGgrhisO4wPS85ckdDuhAw2mjxzEP70I4M8e2QQ0agQuA4DrqGW5tuBC75j7ChbOgqXR25X4Ll2rjP0JZVAUgmsN7mjLIWWlDYcZP3GJLFMS5E02+ZOf+eytNcnLWLzwvIUBWf/XGMB5L70o4zwvgT924dz6C80SWcnywPI2qQDDbqfi9dpp1lTDCUnIrsRMgP9NF0xgnzpd9biBTIFZmaEKrANmm7P0O4mSGk/L19am8h0n7xOmzmlv1dJq17O/9cuafJ//fQ8x6ZCnjlWp15XPP9CgINkybBiuO5xYsZnYdxnpjPDk7s1V160qtnuOL9++ppl3Ze6hi8JcGkO6tWrTnvYcV8997fX76kGJmD1SslIQzHYUAw3YMlwxEC9SyXoIejx5Ud97nxqiERVqabgrrqa0DUEDjY1cYuUxM/BLfE8iZ8CPPDtqFzg2S6powoHW0o5Izl3nPHfVnsihR0iVqKk/Zb9qUlf0Vmi32Q59y4B+2t1Lb/Z3PulwH0S2FPA29S8rKkWuXRbl/5Roi1IhaYAdyqhTYRMJ+/7T7sgrdRwIWu7ZRuHDb3I0OnpVI8PVotpAZykE/RaU/gp9lnNiRL3L1DKcNmmJj9w4RwvfLFOs+sw0zLsPdKj1XaYbThML7jMtxTjw5IfvTLm1T941dyyFase3n90Sr/UdXxJgA8Nj4PwT5yYlm9av+6KO+PONndkwGOwbhioaYYbPcaG2iwZmqMSzvLxuyXv/cg47aRBNVAMupqqawpwezY1sXk26XByCvIU3J5XArdvCDyD52UT9iYHuUgnTVzfcMuDHk/tdC3ApdUo25G0YoFUlqI4ZaBLc0o+Ol87ziJW5aXgmKnmMiR8o2AXJ797qi+Rgxv6qEONAd2vkOlPp0R//q0lWmbe4sVqQmMkm0+Pec2WLp+/vwquyYGdaIi1IEr56W4vtfTI72yZXocs/RFpnl/oT/Jube57bj+zFsLv/0yLhe5xbrzX4YXpkDgxtLsR862EmQXF9JzDwWMer9iyJWqE+k2jw/UT7Ur4kpf1JQEuZMAzz73AxNJVB8+OertNe+cZI/VZBmoJjWrEcKOJcpocnGrzmRtdbrh9gsmFAeqBpJE2bDJwW73KyeD2Und+z5X4nrLGQV56M3g6H3VznVNM2gu7onvfcY/ZuczMRyHTjqhlUCy4M241i9jlVEWWGj35OvI8ktMv7+ZrAP2bTFP6AP11fInyoiqryS9AnoMNXfp6/SmK1KawektH2Uy6XHagEbNqLLIdFzSxNkRG5Kto4gR6scGJdH5N85ohBXaxgEz2i8JKblxFR9Z+/3pF8q5faHHWqv187J4R9h9vcKLpMFozDFQiKl6PM1YPsGzFGbtXr159cHpyP8OjK795gAMoJTm67+G9VX/grWedueruF164gxFXMzHWYveRmJsfdPn8Q2PsPVBHBS5jNWG9Cl1blASlYtJPC8kC3DJNUZSN4J6wObpnchGX56UDE+nkvVMy/HGchF7XcOS4Q1dngw7WBtnLPb5PofkueZ70dyz7wd3HdZdAdxKM8w8UoPtmAA5fK81JHw/ZBA/Zy0UgT83y+0COpQ5Jp3wSbZ+GidaonOWwRbsnBRNjMY4fE8cxifKItCDSVvLtxnbuNoqza2kQIin97LLEr6egT1MpdBa1C3rSGOuBEsUOgefztjd0ePVFJ7j5oTluemCA3YdqrK9C1e2wfOWFTM/Gb/3szQ/sveaqc77mdf2aAF+/biUmngdVO/zVbd17nr3vq1ccOHGM27crPnPvMIdPVPEdxcpRCyaRbkVwFDm/bdkRkb6WeF4G7pKHiidyk6As77a68gTPswPKTnameocgiHjwGcVn76zS7Nodl0JIfEG6frtYf5EB2lEmb8nnwwvyRSK3eJHUpFz0iYLdeKmjz5vvxUBcekIsTvdF/o2LHyEDdpaCGG2bOcaYlN8GaVK719ToRJB6ymbe7FKRJFZDkiSaKHaoVSXXXdXhCw+0uP/pgMTTdBKHXgryKIFeVCzkteOD0k5ZZcMNmb6lj8q0vYvslsvpTS2IHIXseSw0Q6ZmGwyGEb94bZcfumCOT9/fZq7pc/rEEFtfsf6eSy6+7PDsfJvBRuVbBziAcOo8vePenbXGwF9cc9nZV/zTJ+/lgadGGQgdzlmmcaVVcfViexpj7+yyX2FGAWaRuwB2mofnwLbRO0jTE98tBpTddPLecayQq9dLuPm+kB0HA+tTIR1cKQik3eOZrb1wVKY/KQG9ZEtQbn6eJI09BSCz/DcTTxV5ZYHBxaKq7IN9eXH5+4mTb5EyRXnSE8QU0duCxXZRs4Wp+feWIgd3yquAMIjEDh/LJC02VRbFHXpdl43L27z2shYP76wRxxFdqejEAj91ASsblWZzstmdWFwGmUsAii6t7JvwyW6COLGKwl6k6MUSjA1GYRDzk1e2uO2RCKd6Aa7b+It77n9g55WXbuXrOb4ugAOcuXEMqD08Pbf+M2tWzL1xrHKA+Zah2RYEvgNCMDkTMzmfoI11bPAUtmlzCrakcL+y4M5SknL09t3SNJAT22FlJ8J1IsKgy2M7BV+8v0LU86HqIaSy4JZlcJtcWJUBPTNil6WCs689f6qbnCwpKJZ8kIr0yx7YX080f9FA0kdPZuKpYoPdSUepyCS1ZsiLydz00qQyWINRWJAL1TfaFguFTDSxMKhE04td6mHED13S5nN3NXn4eZ/YcWkmCi+ROInGSUDF2cC2SH9effLPlzaRsry87B5Q3OwGlM3Lp+d8O3ooIPSN1YPPBpx91jIm1qz/zJxZ+bD05r/ua/p1A1yIM9i9+9De1Suv/i+XnvuCuv/xfT+8+2jE8pEqK8cVo0M9Dpxo8bHbAwaCtLBzSvy2Jwhc6zZbABwbud0s384GJ5J09C1JQZ5O4aejbr7Xo9WL+ezdIY/vrtgvIl38NHr7mc9gBvLya9UPbpXTg6fkLLKVkUXULOXY2lhmpngMFzmL+QZQXk5HTorup+yqFl9clzwBrS47+xopyFNHBHsz2DtZJGm6IgyxkNZaOVY2J48VsXTotD3OXdvmuisXeHpvhWbPoyMDWrHElSLlxQWF00HmMqhL4rAMzLKvyMxSpawP4Sjb6h8Iu9zykOHA4YCxAcnKCcWyJfNMt2D/8ZEbf+THr/gvc9PH9g0Mr/y6rus3BHCAtWuXcce9X9lXG9/85NH5Iz9c8Q6yaY1gw+pZhgcnefAWjxOtKjUvRso0ijsnR27fk5ZJKUXufFDZz1KT/llOz4nS4YkentvlkecEN3+lijYBOB6OlITSEKh0r2f6/a3VXCHgcmTh8WIZlH6lYJZyZNsUMj64DFiNSSdjCtqOcus8vSWKz3nxyrGvU5o97nOwF0PFWbSl9HNmvYCcby59XSlAaNLNDwajrMEa2R7A0veUMo3i0iClg0w0vUjj+xGvu7TDjfc3efAZjyR2aAoPLxY4UvZ1hvNlslahnheS+bxynpPbjwshU3BbWYaUhoFah7HhWT57/wBj1QoLbZfQV7zyknGWrt705O7n79m3bsOV3whkvzGAAwhvHNVY+v5XvmL/WjdaeIsjD/APn09o9QbYtsvP/xiOSjuUXmqn7GVMiUyZlALcntuflvSPvdkhZc+z85xB0GX/dMJ7PjTA9l01CD2Ecu36FJXl3sXCUFeafImok5rFOKmn4uICkww46URsec10Btxye8mUWuSm7wsU1+ulInn5odGX9+fAW+SXKEu3Sg4cCqPN0pMjK5aVBJ16iLjpHGb/jWX9Cq2+x4rlVOwgpabV9jlzbZN3/NIMv/k+nz3TDj2pmJcKFWfFeJkzKjcCrCNU/wSSonChtSBXCvw4s3DTvO4SWDHWpR3N8483D6HVEtafteljq9ed+X448o3C9eSBh691/OMH/oK3/ezV3bPWrfv87Y89cNXN90crjx5tsGEipFHt8sKRhPG6olGBarbvPlD4afs98MD3ScU5RUGZF5VeefQtJvBiOzzh9gj8DkJ0+PRdHtffMkjXVMEN8ZWi7kDoYGnJ0sYJV6V2chm4y0BPXbuc1HNR5dG8mHnMOnKLV00X3DIpnZgONMjCs1Hkgw/9QxBlq2SVRlC16H2pSpbNspAZZE2pDKHaWJ1HnJ5JyYI4MwI6SaVIWkksokL7x/bS4V9pWDYcsfsoPLXLJTaSJF25qCjkxqUvV9yuWfFN0W/OI3vpJnQkBL5mbGiGh54OOHJ8Cacvddm4psnIqHvv0Mhr3rz9qWcWzty45RsG+DccwQEueMW1fPbWR1vrN/5077Htn+Oqc+Y494wOdz3Zpu7XqYcpuAML7tBXBCkNmJlxZpHby5iSLC1JI3dxWnB7XpcgaPPAU4I/+MAQ890K+AGOUlYIpErMiVNKT0rgdkvgLrviFlbIGWBsehEnJu/gZV04nUZWAKTJFXt2AwK5pVr+B86OkwDWLwOgD1yFCCwXiinbvZVpfiuNIUZCYvUeUSpy0tky1TT9UtLgaNAq4+gzYYPlxC29l35fbDSXUiPTKN7uBFRDzXveOseTezzuf1KhhWJB+MjSDW6/Zp6cpS36zCJCF1oVbVKRmExjf9q38FyarQp7Thjueyzm2FSVa14xEP3YVdc8JcTBVjD0qm8Gqt8cwAEuu2A9WuuHnN6FW0XrlvD+HU3uerTCGUsdxgYF1VBZ0VQgqfi2O5kZcXq5z3PmXajzKXxrCJTgpSNvXgruSthm/1TCB28aZHqhCl6IlC6hgooyNmpL24BwZZF3uzIFd7aJIvVZtG9TgKfRFWHTkyg2xDrB9LDjUkkRvaUUdo1engqYdHigvCxqkfz16+DAF+fcZflAvtol9Wi0P6cFVxQrkkTQ7dmlTjr1ipQis9uzN6dTTrWMPPl7p77hUoKMTPozpF6QXZ9GJeGtr5/n8BGXFyYliRDM41H4vxT+4JosJbGNJ6Mh0Qad2Ld23tKg04HlRCuixAdGedV5k8w153l65wCXXnLRsw9vm/+Nyy4e+WZh+s0DfHSkgdGtt7/q2kvNjZ97/P98bveR4MK1IePDVh/cjayzUyXAKgLTqO04Jvd4tjZuRUHpuzGel0VtG7l9r0O10mbf8YR3Xz/Iv355CO0GCOURKpGOvFnpcpaSuHlR2R+5MzNRN01LHFX4mmepA1hQ92LoRjGtbtqxJnucZnSbyKOuFhSLoRaB2pQT91Og+iTWJFM3lle9pIsCssUBUtrv4qUS1Ok5h7mW/bkN6S7KlBrVSuSpVpl/FmlCXy5upQAZpzl5XOh+sgUEP3VtGyGneM/1gp1HJXFFMC+89GvK/JcuW7FpI9COfYrEicZJBJFjB4ntk9Kh3YUjk4bDJzyOnBhnw/gcYyMTnQu3vPrGMKwYVf/aDZ0XO77hHLx8vPOd7zUTa664p9VtqNPGzNbhWledv7GFVB2OT3vUQslALZu+Twj8Ih1xS2lJlncHfoTnxQR+zwLc61Ktddh/IuadH6zz77cN0XPTvNtxqDuGaj4RVMq707TETa2cXacEbifdROFI3JS29FNmJ/AFFV9Qrwga1ZinD8QcnlXoxA7DltV1LNKtZJZrZau2wsatf5VJkVuX5QPF0HNRCJt0s4FdElB+2oVBTKPaJYojHn3GYXbe0Is1cZymVH3MSrpl2hQ3Vf57UEgUWHyzZfSfKNKezWd0GRvq8cQzDtMzEq0kkVEYZL4bVqRfKLuhskI41lbHEsd2CZUxBqUk1dCw79gCz+5LiCNFrb6sd8VFa94fyCPvXnra5vhbweg3HcGzY2Kk10ONvk/25nvzs0ffdd/Tc/LY8YB6aFhZ04wNxlSDGMfRBQ0nUmVfaqNso3ZRTHpeD8/pUau12XM05t0fqPOJOwfouiE4AZ6yM52VNO8uDyy7acR2y5G7FLUtuMsgF7lhf+DZRlO9GrNsbIFIzfIn/zbKSNVjwNMEbtrBpLShua8VXUpV0uvzYrqUPmFVFsnLAxiyrF/PAJ496SLCoMdQY54b7qhwz5Mhywftjel7Kl0GlhrdG1kUyOU9OpSjuMk7qRnPLlBFkymP5IZQat50dQfkCd79D/D8YYgrIfN4aCNJyLxNdC4IS9J6JrsiYG/ids/6nkyMOFx+XsL+4zMcODGha4Oj7xoYGPyzPQfne98qPr+lCA7w7x/7d979Bz8Sb1g7PDXZrPz6Z287IatelbUrHDaubrN8bI6RwRa+b5s3SqUT7tJGJt9N8H0btQO/R+D1CP0O9Uabvcdj3vXBOh+/fZCurIBbwXFcag7UnELQ5aeR225/IwVyFrmzaF4AOt8l5FkJQeDbrlk10NSrCcMDPZaNLrBm2TSPPG/YfbSK48jUbrmkV0nZkj6WJCvuylG7fKp+FiWP5CrbQpdFbjuAnQ3zZk69gRcTBj2GG02e2tviTz8xxOxcSJgGkEKzUlaviL7IKooPlUDd/7pv7rREKWIErjKcvbbL6FDEtmclM1N2X0+U+oVnrZxsQRakQxKxoNUTzLYFJ5ow3zFEEVQ8ydiAx5oJw2nrtmhTWfdf95+ID/3I63/kW4Xntx7BAbzKKoKhwefXrx182y/+mPO3TzyxXW44rYVyJ7nxwYhXnBmzabWDQDIzV2F6PrRRXGrbmXQjAr9L6HUIgg4RXe57QvI3nxrg03c1LLi9AKlcKo6glu7p9LN1KaXI7aRDy31UYLpZ13ELoNsGlBWChZ4h8K1DVzWMqQQRjkpYNmK4ZP08Dz05yHwQ4MvM0kDgpF1CI9M805RUhOWi8qUktOLkd/NcWBYrzh2ZTa7bbq7vRlSrLR59XnJs0qfqSlpd2+ASZaP68tdNV6vY1+VhaWmLyVJ3cXGDqehWptvaupoQePPVHRx1gr/+VI+vPlNjoVOh5QVoXAT2JldpHwIBsx043pTEQnD+mjkuOavF3V+t88yBCkMNh7EVV+m1yze8bWLNyudnT0x+O6D57QH4mjUXolvP9DaeufX6Z589UNmyufrn0wuHuf5LVXQ3ZKwaMzZ4hE/cqzhtuMLqUZdKGBMKg+vGhH6XethCyBY79hn+6tN17nok5OCJgJ70wUmLSkdQVakEN4va2b7OPB2xRZZb5rmVtFFdSZw0RSmEYFaSm3HxgW+LXas7h9CPgR7dJKCjBYEW6cLVEjdeDEv2obYsvnoxfBdgKl5TApbKC85sE12C60QgIlo931qaaejE4EeZr4xGinSyXmQ5tikGORZRkoVMOOskpaqw7AGfF6FZ4WmfFoEHb7yiy5azJrnr0QX+8tMNnt3foNepM4eHrwSBsQCv+JINqxMmlp7gk/fUWb+kzitODzlv3QIfvTXieGst4P/3S7dsuf7O+3clV1969ncPwAFkZSOd9oHkuuuu3bXz+XD+7/9prj7kwZbzFOOjLd5zQ8jufUNceXZA1REs9+wensCLqARNHn2+y6fuqfHvdw0wNeMRi0zy54Jy8ZSkqgxhRgmqLDUhX21YUIGk7IjI3zpKorJ83AHXJd8hlMkEPC9dseImCKGpBoY3XNXj0/d32Hm4RuTK1HWJImpnbf0Sxr9ZsVW/XLa0nSzNw2W6ASMMYnbuE9x0d8BcB5QDvVhY5ic2OJFNAUV6Y2RplBAy9xrv8yEv9QEWU4jkN0KJVZEJUhi6kUFpyfJBzU+9SvPqi6f55F1NPnFvh0eeG2NeedQ9gSNhpCHZvMrligt8Nq+e5F+/uIRbvlLhvA0Or92qGFt5yfxFF2zd9fyeI8nVl57+7YLltw/gAH4QsO3J+MZlE1f+xht/qPK/ju69fRgO8M+3Rjy7t8G5qxyGaumjMo3e9Uqb2x5L+K2/H+Pw8SGM70EoEFpj0n0wQkgCaayQyinA7aYdy2x/Z96pXEQB2qaOLHZ6ZuxKtjsopSu9tOh1UiAJqfErdh2LNlgfvWzmMNMyl4D9zSO7DOwi/5Xl1KCUsiiZjoy1AOt2TC/1n49iiByDE9sUMJIybdyk9UJckihIgUwgPimDkif9TDKjC5VGJY4dOkl57J5WxIlD4Bp+5fUdXrv1OP/t7+HWRyZo+1YeIICpecUzL4yweb3mp19znA99dpCYcX7+LddOXbr14v+qZOvGfcfCr/dy/ccDXIhRAJLe3EeWXHaps3us+f73/t302O4Dmi2nh6xZ5jAyIAmDiMBLGKp1mFxo895/HeLQ9BijQy4119CJ4ci8IOpq8CwoPWHTkCJyZ8PLReTOO5SZmKpvh6fIi89CgGVXrjglTj7b9uYoy9M+85zD0UkBUttdjlmENovO/pffKtZL6Mq6jEUunGjDkhHNhg0R248kRAlEmZdfYn0cM4mwTKzmW0lDIjWJFCRKECf9Xojl9nqhACw+nt1kSmlcx6oDHWUI3ISFts/0XIMoUQRej9GBed7+k9M8/nzIZGuIsRq0u5rjUzFJ4tDtLWHz6cf51TcZ2s7lx885b+vvTM1FH1kyOv5tBfe3HeDZobwGO/ac+LCqXiGXL5v5k1A/NrZprcZxO7Q6AZUgYbDeIdYLfOiWCodPjHLaoMNELaEegutJLqy0mV2Y4bHddZqxiyPFSeC225dL4JbZBmaZa0ssM5FF8QLc2ebcjGd2VWlXZ/q6Fxse3O5w/JiCoRJsvw70iq/9T76BwxR5ORDHMLFEc8nZPb74lYT5BLrabgmOEtt5dRNLzTkJJLEhLjWO4sReK51Akubl5WJY57YPMpfj2nrApF6Dtr3e7kY88IxgcrpKoIYIPEm90iOKXZYOzvDrr53irz4bMNkMGaxqlIw5MBVxZNphrjnCG16z6fjasy/8PZj5sBBLvxNQ/M4AHODMNaN8/OM3Xr957UDSHhv7fx59+rnhTsdnxag18ZwYmeP27YZ/vWOMQLisGNCMDQhGGg6rlimuOH+BsZE53v6Phs89UMcRFuAZuAPXyixdJVBOsT8+o+NUBvj8JI/sNo1JmYm+t9p2DGWCVAlCJjiO3e9T8A4vjm5xivOlkJ5vU8s6gIu/2Kk+h/RztEDHBmNiEqOJtCTStusaJxBpg5PYSO3ItD0uDUmiUVLZRa4SpAapCw2uMYJYGOJEWg1LJm7B3hyuUmjfFrC3P+LwBx9ewmhtkKs2BaxeKhkdsjt0ThuHN181yUPPTnHnYxMsqSsaNcEZS7s0W9M0k7Onjs0s++2pBx7/x4u3/tB3CobfOYADvPnNP8wL+3d/tNM543cf333z8PzxvSw/U7NkeIZHd7X525uGSaIKq4c0YwMwNuQwPuyybEzjuw4rxhQrJxJ7YaWN3oELoScIfJFG8EIwlaEiW1ZrCyppH8UZx5zmsMWUz+LoXWxaRiU4bsbqihcHrSg+3jcVJARld6ycm140xtZXoC5KgQp5bOEGlQ3qRrHBJHbxU1erPE2Jk2L6PU4MsQInW7SanbnM1hbNmWjK+qikHdcYErdYU5gB3FokC/Ycddl3LGTAlxw+EeE4HrF2IR1ZXDYW8dbXzjPdnOLQkSEOHvdZu8zj3PPXzx+YHvvNp3ef+Ldf/vmf+05C8DsLcICJ5WviXi/+5XPPWLNGr9QfGG88FfzLHYZP3reMY9MVVjdgrAEjDYfRAZexYRhuRAzUujyyQ3LfYyGeEVTctLHjCUJfWOmtL3OpqzGpoEeXO3KZrlr0DRrbSG7yVEU5upSaaByZoGTM5Dw8f8gFR5GtQekDeV9+vPjsVymKLA3om8ApDd6WpoIKmwWRdyA1FIyNEehYsn5ZQq0RMTcb09NuGsGLlniSndrum0yUvT46XVy1mPGxLX5rFmSMDRReDImWGBw7xOJoOl0HjMtV589zwUMdjh0JmZlPCP0IpTyUdFGOIfTrnLc24s9/rcWnv6K499EK5ycbO1os/ZVN6+qfbLW6+msC6Lsd4IEU5lOf+vh940NLH+jUZtpP7113w4GDh4LTxwW9dsJwTTLYUAwNuIwMCkYaEUP1HvVqi217NEdmQ6qupOIlBB4W3IGkGiiCwGpJlIAosVZiSWKnSaQQoBYND2TROwO31PnbLO9WpXPPQcGtD4fgiT7K7sX2aGYG9/bpUdwAi/etLY7Y2ix+narwste5DCBziJJ0uw7XXtRi3fIeh6Zj2ylMRApyY1MVbVIvE0hUquTLJav9wxHZ79NLoN2FKDapjNV+vjESKRSe49D2XDpdj7GGZGKwy/N7DFNNCHy7vsRVLp7rUg8DahWXFw6GLKtX+Pk3Lu+E4cDPDNZO+8yhY4eT177+zd9p+CG/9S/xtY8f/dE388LknuSvHx391Opla37uza9e3lq3vM1oFUYbkpGGy+igZGwwZnSgy9hwk27U5JYHAiZnKwxVDFXPUPUF1UBQCxW1qsNALbOPg6FGuhW3q4li6/eRT6+kf8R8qCAza8/y7lSlp/IUJUbJmE4sacUOSGVbz6WvJUuS1sWNk/JezT7zfFGkH/lAhSF1lkoFUllkTaOpNmXrhSyqWw8TO9Bt91RqndDRgijJorjNxe3bVJ5qyLn7LHJnCknPNYSBvQ7TcxHHp3tMzUXMzifMNWG+JWm2Fc2OQ7vjMrMQMtLweP3WOdygw+FZydS8YWo2YnIm5sSM4PiMx4mZGtv3KY60z2LJ2Jlv/cm33PWpjnjmPwTc8B8QwbPjbT//szx0z8fM6//gjo//+dsudUYb+m83rTg2UA0UI4OKiZGYFeNthuothhtz3PNkzG3bx6gHioHAmuxXAkk1dKhWHBpVyUDV0KgljAz0OD7f44uPOVQlNCoCKRVu5mRQAl3GpChZArWT5F1CJS1NuNDV/NuXq5jEdpJsmqML8FKyecu1KKQTPSVdSjbpI/pTE53mvWVbsySN1rlhZT42V4reWtqVgdoyRT91bYtHnoqY0TGRSb1Lsjxc2eJSK5GnKSYdOMg3mklbcIe+YaAasWxsgQefcZiZdRmpC2oVTaIdQFmJgqPwXIfA95hvVrnq7Cku3jDDndsCfFfSiw2IyHaLXUWr2+D0lUMnLr70h6aXrzjjhcm568zWS/3/KNj9xwEcYMsVb+Ef/vF6fuo1+l8PHVvqPrt7xZ89+vj+kcHKDKuXzmPkAiNDTbpJm1serjI5U+P0EUM9MNRCSSVUVEML7qG6ZqgRM9zosWpijvaBeQ7NjDPmOal7bXn9d6rUy12tMsakxJykaYmTRvB2onluvwfGjmflK8BLgwgneYxnbE2fwKow9sxG4YwoATw9Ey1QeQpRRO583jJzaNXZim5rNHrGihhfRKBj4sTQURBmeXjGqmibi2ejd+XxO4ltpQeetqlhfY7pyOP5o8Os05oonWrCgJQKpSSe4+J7mum5CqdNtHjNlnke3FHjcDOkVk944bid0B8ZHkMOnD65f8H77z+3/px/7uiuEKl+/PsS4AC/+gu/zK/+Aph46p+XrXOcWv3h9+189paxp/fN8IVHHN7ySsGqpQ4PP1NjwFMMVzS1UFANJLVQUa8IBmqGwboF98TIAgONKW56yGeu6TDiFiNm5cewSnlcVRoiUE6Rnjgqa/DEOE7E4SOC6XkPlF1klZnnFwKksiKwREXmlKRAKTtUuziCW+/u9CjlwYkgbcRk7qyZ1TC5r3YBeEkcOQzWuixd0uXY3h7a8ekkru1ophRhlneX32ZjY1kfJ9tLKaWhUYHXXzLD7z9dxZ/2c9GWFKAcG8F9R+J7Lr4bMNKucuGGHquGI05b2uPHX9nklvtqVIOlXHjx5cfPPf+i343j+J/f/p96BPIU7kbf4eM/JAc/1SGcYUB96OJLtv7eyGlXH3/s+dVMTVe577GVzC8MMVhzGavBUA0bvQNFtaJoVGGwZsE9PtxibGiGWx+LuGPbAK6QKFlcQ5H9YUQhS+1r9Cjbucx3yqgIx4noxgn/dHOFnft8m54IaX3Gs01si2SzGbAdWRJ3pQIv+7pwzzLGpg2RNnlTJs7PDJQiP4soXkT2zCyzGylOP83wc69boOr1MElETxtaCfQSm49HSZaDF2yK1qZvwiejhGIt0Nrj6nM0P3jRcQ4tJByaVcwsaOaaCQvNmIWWYaEjmWsqpud8pmZrTM1XCcKAyzcOUHcCXvOKEX7pJ686fsFFl/2elN6HViwdfrlg9h8fwcuHEFWOHGtdf86mK+NaEPz5Rz5x+9Cm1XPsOiRJuj4blkmGapbHDnxJLRQ0qgmD9YjRoTYjgzN88ZEu7/qXUaZmqqwetMrCbGKm0GAvau7kwC48D10V46TS3aPThpvvqxArJ9XCiNx3MRsrszdOSdudywSEVSxmHH2axmhjO5BxOrqlTfpxma0QyeYoRTqzSMpRi0XFpiyBXmFiyesv6/Cn/95lYapLkri0pUslsSNtXsaFp7x45hCb8+G5OtJuaVho+UyMBrzz5+dQjsOXHhrHkRJH2mvlezHVwKHtSXqRQxTXGR3pcvrSLk/vqXHm6atYddqrps+/4BW/5Tj6n4T49mpLvqcADjCxpEK31/uIci6a2nzWkXVnn978H9d//G53wPO54lzJC8dijp0QjA4KqqFmoG7XWYwNznLb423eecMghyaHWDkoqHka37GRNOtgFlYRWcdSp8DWaeS23iuua02FlN/lwWc9jkz6VqaXTp1nhaUoFZhSUvo+In2EZ3JcqzfPClqtBS0DSVfT6enUDRYcZSduMtN+pUgbNaIP3NoINCU2JT1j7TA+HLF1Y5tP3+Gjld1W1kwkXixyn5jIse37JDbETtrZTExhORELuj1Fq+MyPVdj2WjMH/3sFBrBHQ8vwZESz9WEQcJgrKhVYo5O9di+K+CaC+tcuH4KE26Kxsb9375gywW7pHRvFiL41sDxbThedoAD+J6nmzNP3vi2X7nGe+Sxna1zNod/E88+JQYHj8sXtoMyNcJAMFhPGBvqMDY0yx1fbfOHHxnmxMwQKwclQ6Em8Ew+e+mkkdS+Tq0kMlFVfmbGQnZhbRB0ufkrLu+5fpBW4lq5bpaOpG3FflMeSvm2TUdcR6bb4ayxkedazYsSIBfg2GTCbDMurO0ck6vtVGqE42QgT+nDjDoka+1DiVVR+K7iHb80S9RT3PiAQyIUTenjSYEXW6WlFxtiZYgckepU7KKoLD2KEkEvlnS6DvPNABhkbEjxzp+Zwmi49/ExAlcQ+gnDdVvEr1kxw+PP+zz63Li+7jVbTNBY+5+Ptc78x4eeONK79KKzXm5YAd8lAAeoDp7NHV95rud5Kz8yMe7duebM2Tc//JR5D8kU4yMOQ3VYOtJh2eg09z7V5I9uGGFhYYD1I1D3k3yZVeaF4qSDxm7qopWZ6FtpbOq9kpoKBX6XoNLiCw8J/uCvh3hqfwXj2eiduX3Y4SvT19yR5dxeZgPNInftCn1D6GtC327DqMz1uGu7YmZGMVyDwBMkfjblbsfZHCWInXIXstToKbeMbNc+BbnL2au6vOc/T6MN3PygpCsk89LDl6KQFSf0bQ6OIk0US+JY5Gc3UpiWRzdStLsuEyMO7/rZGf5AwwPbx/AcwWA95vBxhyUjIRefO0yzd9r/vWblGR8fHZ/Y322f6AWD3x3ghu8igANcfekGgPb2x/7pubPPV+975sB53utfeeztBw8cUuNDTfxgii9va/PHHxslajc4cwmM1g2uI+n0bN5q0wnrnedmEzupJbPnlkFuo3fodwjDJrc+LHn7343w5MGa9aDIWpFap6vv+uk1UU5RShHcjsHZ4eVKoKmGCfVKxLLRBYwzy5GFQSan6yiZ2JY4OpcTOFIQKYUbC2K3ALdO7WvzWy3VZsvUsjhJFN1uwMalEe/59VmMgVsegbao05QOgRL4cTaUbehGGifdshHFKWduyKUBzbbD5IyP5wU02x4rxh3e/XPT/PHHDM/sHuTwpGHZmE9taHNyzpkj7/2Lz4v3jd+5M/nVn7vk5YbQScd3FcCzY/MFP8/HPnFT8gs/8/o/PHL0hLPjyfv+uxff7t/wBY8vPBzQjWtsGDWsGFUsGXYZqBke3NFjvqXxHEvJOU7qaOvZCJrZVWRmnn46KheGLW57TPH7fzfG9v2DyNCzMEoiWxUKQyIFXePYTW7ZRH2pwWMbIFlhac1uQ19T8e223nqlS73WJmy1iJMqs23BXFuUNr/pPI934nQFX1KiCUubSGTK2dtV6RFSauJY0en6dHohG5b3eM+vzYOBLzymmJd1QkcQxMXcatYPcFSC70qixGq/HaVp1LrMLGi276zTqLnMjyq0FqxaanjHT8xx66M+d2wb4dwLLule+8rL/59afeQP777js1x59XUvN2xOeXxXAhzgLW96PZNTcwwPJW8fveIquW/f+Nbx4dvkz77m2Nabbu86g1WXtStc1p+mWbm0yfH2HLc/MkS9IhHC7gKq+IZaRVOvxAReZqBvGRTf6+F5be54DN7xwTG2HxilVvcIFXQTEHS5aMMURyYdnnrBTvVHbuGAnT0pLPWYWVNkKxK1jeJ+QhhYi4fA66KUbcg0I8NCT+DnrE6qanQEUSxTas82a6xaNZ2KT0fXPDeiVumwY1/M4UnFeeskOqkSxYp2J+L0ZU3e+dYFzPWKW5/wWIjsmKCv7W6dzNZYCHvDVyOFMeC7mkZ1gUd2drjjCZ+Vow7r2y7VwEVJn2371saDtfH7f+8/v1avXrnu/oPH9Nt73Xk8v/6t/Km/o8d3LcABRoYb2cvf+7t/vpHTTr+o3mzO/8MVW3b/eHfhuFw61qFSaXPaknl+4tWz3PlEg16kUMrKaRtVzehgl9HBNlEs6XTd1PlJUwm67D4U8QcfGGbbC6OMDHqMBYaapzFCcvYZCe/8hSY79ib89t9rtu936fpeOgCQ0YVZiiLzaaFsxjPwE0I/oeJHhH4Pz43syj0d044NC5Ek7GV8fDZ+Z4hdXSxVTUTevrfGOzbqVoIOT+/T/Nbfj/Hkngp/+DMJF6yrIoBK0COKHDauhHf+yiz73l/hmUMew77IC+XZtuDEgmAstrvlaxVbcHquJkq6fOQ2xeEpwfBgh31HuqxdHrJkYp2+5tK1nwgr9V9N4j3z42MXvtzw+LqO72qAl49f/7kf5vndu+bDMPjNvfvW7Hz26UfPPjp1/I3PbXueXuwyOuyzaWWbyWMeniuphTA60OO0iRl2Hu6y58AQy4Zclo7aSC5El88/5PPVvSMMNzwmQs1w1TBYhdEBxeUbGywsLOOiDVO86xfn+J3rKxw5MYIOsPmwKPLvLILn3ouezp267NnD9TvY8ZoEE/WYjQJCJfGUzj1deq7Gi0Xq/GSbPjop7ZEXhkoQs+dwwh9+aIQHnx5nacPhgW0SRzssGYoZajhobb23zzot4fWXzLLnUw2iJEBJGB2QLBlLeO5IlxcOBniOdR7rRda06Jn9glrgcvH6Nheujdi4fhWev/Qzq9af++TA8MT/jnqd+SXjZ77ccPi6j+8ZgAOsX7sO4MQ9jz7/js2XvG7VwO69nLF62Rsff3IbG2PYvKrHg7OCekUy3EhYMtzimQMtPnhTlYoIeeWFLhMjXWphj2cPJvzLnaMEXshoaBgMNUNVwUhDsWTYIYoFB442CP2Y807vsXl5m30HExJEfwcz912hFMGtDXToRVSCLo1qEyXbzLcEtVoXJRZothWz0rUFoAs91zIcUWyIEk0cF91MrQFjrR/CoMezhwSPPD/AUOCyZiTBk5IjkwqBTBkZ0kgf8eNXzvPlh2d57lDAyiEYbThcuVnwqldM8g83xxw+2mCgmrDQVLR7ksd3+gz4HlefG7Bi5VauvmztZ8aWLf+v0NkrxJqXGwLf8PE9BfDsuOLC9bSbM3vPX3veb+3ZG3xkbOn6/9KeferK27ZtZ6RhmBiBiZEug405PvWAZPf+OldvlniuIfAjnjvQ5Z3/MsKB40OMVgV1L6EWQKMqqdccAt/yw82OYm4hIAx9arUY4SQY4xYMiir7HZI6UJnUa9E6UA3UFphudXjnPw9x9ITgl69b4HWXRfzZxxOOt0YIHUUYGYLY4McQRYvou6zYTDufcWKYbjoox2VQWQmxowSdrmGmKXFdF9/VhL7H1FyFiSHN//2L07zzhpDmQp1ebDgx4/MD6wIu2tjmI3sqHJtxaFRjRo/C1k1Vzlh3Lpdv2Xx3Twf/23hnP3H4SLR32dLv3jz7pY7vSYADhNVBgJ3GmJ2nr+fJhx5uL33TdZv+PmnuOr1iHlXDjVkCv4XvhAxWHYbrksF6zMjAHO/7uM+2Z8dYUZdgrIlN6AsGqg7DDQdHCZodS5fNNT3GRxXXbOlwx/aYOHathjoHt+xLTzL7CdvS7rDQafPujw7zr7dOcN6aiNOGZ3jtRW0q3gx/9FGX2e4QDU9QiYy1fEhMccbkxvZaW47/6JTgjgcrdBccGksNYWBlDFFimJrVuEpSryi0EfQilxMzw1ywdo6fuWaaP/1oyMyCZGoOZuYqJFGXuW7C/mm7p+cVWy5Ktm5ds3P/0flf27T5ssPAc2WR2Pfi8T0L8OxI/wDPTU1OP7dOJz/YXgiXN2qbPvH09lsbz+1/oRqqWYZrgqEBGB9ucsujhoeeHGHzMsl5p2ti1eGB7R6u8hhsKDas7HL3do2LRzWQdHoKgWKgYoedRVIGd7apOXO1LeQAnhvjeh3+7BMhn7ljnHWjDutGXfbsr9II5/mxK48x1ZzkTz9WoxO7dkghKRowvZ6m60l6kWVW4sSqCXuxYK6pEEYQulCvOJw2IXGcBe7d5uE5PhMjEujxpUc06GHOX19h6xlTvGrLLE8/P8zKWc3UnEur43LV5gqrV69tvu6VV835Ur+pNrj64Nkjau/3OrCz43se4NkxPDKEMcleRkf2x9HUphVrXnOJ7/U+EHtPx/Pto8NLhifrQs1x4z01ljdcGqHkjJWKlStmOHwCkihgqC5Yt2KWWx5T9BYkp417GCOZmpPc+4TP7LxiWS1lPVzwXJXuH7JdS8/R6ZoRy3Zo02P3sSF812X5oKZR8ZhtOhyerDJYr7NqbAZfdokSNx9uiGPrGOX0NF5P041UDvJOVzE6JNhyrq0hBA6VQDI+nDAftdh5RLJsxEECu4/AFx5yWTPqMD6oqC6M8IZLpnhqV4fZZkArWTZ/5daLpwaGNzqVwHvr6rVrH1g6UpvtxWjf/f4AN7yMctnvxGGXKQndbUfTwyMrv1ipDGy45fN/v+5XfvEt7734ovOeemzv2m1rly7tvObSkJ62zrZHpzQz82mKUtPMNNvMLcTWvF1bkVYn0uzcH5B0HSpe6oXoSELfelvXq5paJcb3rEowTn1DvvKUx13b6ozXDfXQRvxeJJlvOpyYqXDFOYYLN7VIdOpSJ6ATwUJb02wntDsJ7a6hG9nI3eo4BK7HxhW2URUlIh+2GGlEDA20mG0a2j3BYE2zZKhHsxMjRJsHdtToRqs7P/mDw9s2nXPRU5df/ePv/dznb1g30GhsWLV82Re7CwvTQojvK3DD91EELx+1gQmwPZnWwYP7EdL5H5GS/2PtyovVeWc2/qbiz2yYiw5e7lcOqjufqDI5E7KsETFQhW27HXYd8LlgtUjb2TGtKKGThDRCiRK26+i5kkogaVStzmSo0eHYlLLOucauFml2JDpyGAgNtYoVRXV7MNdUzLc8li3xqAS2OVQPYWxQMt3UHJ2BKLbT/YGv6EUSnQi0UcwsVHFFTBDEdFMZbKcnOX+d4Ox1ES/s1XS6MeMDLlecH7P9uYChsTXJecOr710+Vn9upD37tu274sTzA97zjg+Y005b2Xq5/17fyeP7EuDlY/ny06AY7omPHpv9Van8oV9ec+KPH3zgRi+KSc4/e/SC4SoX1moHSE50Ga5UqAQCz9VUww6P7nE4cKjOOaugHWlibaf5GzXD2GCP5WMtpltz3PJQFU9W2HKmy/IlLuAQuIJaKBgfcRgZSDh0Igas/0u352KMouLCcN3h/DMkTjjNR7/scGAqQAqN78f0BjyU0ix0Yp7cVWfV0oQzV/XYviOh3VXMLigOHA5odRaQjsOqlUMkcuTR9SunHqs2Vqpzt1zXW7Z09PejbnfaCwYA+G9ve7n/Mv8xx/c9wBcf40sGAKaB/wTw1x+9jcSIK5dUzatXrVn1puN64YwfvtZwYP8L1KqahU7Ejt0xw4Hg2otijs632f5slcATLBvtsmpihuGBLjsORtz9pODMpQlTyx06XYU2CldJqr5k6QgMDjV5ZKegF1VZt0LRi1zASmsHG4oVSxLWr5nj1m0V7t9fITExUiUsG9UgEu7fEXH4SMB1l4ecPn6cnbtDkHXqNY+h8cv4idcl7D4y/OzpZ4SfWLk0+lKSiLsrY28AfuPlvuwv2/H/OYAvPn7jp68FuHt2bvJu4B53wKxbmJvU//TR43rt6uE1QWPD70ZyH1dvHebizc+z7fmDfHWHSy1UVMI57noiYulQhcnZmDBMmOvETM87JIkk8HWqERdUA4PnRyxEDpWOSdf+KXo9q/8erAsqYYe5pmasFrPlDM34aJudLzgcmzSsWd7l2X1NZueX4NXW8YOXHeW0NWdw5HDnfRNjx/ZsOOtSOTQyKC9sursQfNEf+uY3k30/Hf+fB3h2DDRGAL6YvW+iw+B4g3teOHT/utUB4wPVaMOmpf+nN3Lpq0aW1Vg9YThw6It84RHFlWd7HJoJuXgjHDgSMzXbo9XtctdjAl/GLLQNvUgQJD26PUPsxiiZML8guPTMOW48XqMagKbLroNjXLhec2TQZ+s5PT7l1bnqkh9gw0pBbXmH/UeDW4dHkj8fGhhwr1x5Prhr7sa0Z8aXjb3cl/C78vj/Af4ih3CXAswAnwPQ3RdA8Mzq0IwPL3H0QNhj/5F76MZ2W1urJxirtaKNl2/9o8Gw9/rh8ZloaNThN35CcGTKZflKQWOwxSUXKMaqIavWdDk4BVduaXOsU2H9hsBdvc656ekvP/RHqyY898S0w0DVY8lYlU2bzmJixGVwQsszOs5RYM+G9ctf7kv0PXF8f3FCL/Nx0xfvBRhPuicG1i6bNl9+LOS8tTFPvuBw5mmSWqPDQzskI9WAjas6PLXH4ex1EV94RHHxuoo4c8PYrDEcXbH2spf7V/m+Of5frftgNqFlnUkAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTk6MDY6NTYrMDA6MDB/VIUeAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE5OjA2OjU2KzAwOjAwDgk9ogAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 51835273
    {'hecke_orbit_code': 36028797153182011, 'n': 1, 'trace_an': 4}
  • id: 51835274
    {'hecke_orbit_code': 36028797153182011, 'n': 2, 'trace_an': 1}
  • id: 51835275
    {'hecke_orbit_code': 36028797153182011, 'n': 3, 'trace_an': 0}
  • id: 51835276
    {'hecke_orbit_code': 36028797153182011, 'n': 4, 'trace_an': 421}
  • id: 51835277
    {'hecke_orbit_code': 36028797153182011, 'n': 5, 'trace_an': -500}
  • id: 51835278
    {'hecke_orbit_code': 36028797153182011, 'n': 6, 'trace_an': 0}
  • id: 51835279
    {'hecke_orbit_code': 36028797153182011, 'n': 7, 'trace_an': -1372}
  • id: 51835280
    {'hecke_orbit_code': 36028797153182011, 'n': 8, 'trace_an': -417}
  • id: 51835281
    {'hecke_orbit_code': 36028797153182011, 'n': 9, 'trace_an': 0}
  • id: 51835282
    {'hecke_orbit_code': 36028797153182011, 'n': 10, 'trace_an': -125}
  • id: 51835283
    {'hecke_orbit_code': 36028797153182011, 'n': 11, 'trace_an': -7852}
  • id: 51835284
    {'hecke_orbit_code': 36028797153182011, 'n': 12, 'trace_an': 0}
  • id: 51835285
    {'hecke_orbit_code': 36028797153182011, 'n': 13, 'trace_an': 18532}
  • id: 51835286
    {'hecke_orbit_code': 36028797153182011, 'n': 14, 'trace_an': -343}
  • id: 51835287
    {'hecke_orbit_code': 36028797153182011, 'n': 15, 'trace_an': 0}
  • id: 51835288
    {'hecke_orbit_code': 36028797153182011, 'n': 16, 'trace_an': 47601}
  • id: 51835289
    {'hecke_orbit_code': 36028797153182011, 'n': 17, 'trace_an': -33976}
  • id: 51835290
    {'hecke_orbit_code': 36028797153182011, 'n': 18, 'trace_an': 0}
  • id: 51835291
    {'hecke_orbit_code': 36028797153182011, 'n': 19, 'trace_an': 22188}
  • id: 51835292
    {'hecke_orbit_code': 36028797153182011, 'n': 20, 'trace_an': -52625}
  • id: 51835293
    {'hecke_orbit_code': 36028797153182011, 'n': 21, 'trace_an': 0}
  • id: 51835294
    {'hecke_orbit_code': 36028797153182011, 'n': 22, 'trace_an': 18076}
  • id: 51835295
    {'hecke_orbit_code': 36028797153182011, 'n': 23, 'trace_an': 22736}
  • id: 51835296
    {'hecke_orbit_code': 36028797153182011, 'n': 24, 'trace_an': 0}
  • id: 51835297
    {'hecke_orbit_code': 36028797153182011, 'n': 25, 'trace_an': 62500}
  • id: 51835298
    {'hecke_orbit_code': 36028797153182011, 'n': 26, 'trace_an': 235686}
  • id: 51835299
    {'hecke_orbit_code': 36028797153182011, 'n': 27, 'trace_an': 0}
  • id: 51835300
    {'hecke_orbit_code': 36028797153182011, 'n': 28, 'trace_an': -144403}
  • id: 51835301
    {'hecke_orbit_code': 36028797153182011, 'n': 29, 'trace_an': -12808}
  • id: 51835302
    {'hecke_orbit_code': 36028797153182011, 'n': 30, 'trace_an': 0}
  • id: 51835303
    {'hecke_orbit_code': 36028797153182011, 'n': 31, 'trace_an': -64908}
  • id: 51835304
    {'hecke_orbit_code': 36028797153182011, 'n': 32, 'trace_an': -111705}
  • id: 51835305
    {'hecke_orbit_code': 36028797153182011, 'n': 33, 'trace_an': 0}
  • id: 51835306
    {'hecke_orbit_code': 36028797153182011, 'n': 34, 'trace_an': 45198}
  • id: 51835307
    {'hecke_orbit_code': 36028797153182011, 'n': 35, 'trace_an': 171500}
  • id: 51835308
    {'hecke_orbit_code': 36028797153182011, 'n': 36, 'trace_an': 0}
  • id: 51835309
    {'hecke_orbit_code': 36028797153182011, 'n': 37, 'trace_an': -315576}
  • id: 51835310
    {'hecke_orbit_code': 36028797153182011, 'n': 38, 'trace_an': -1505204}
  • id: 51835311
    {'hecke_orbit_code': 36028797153182011, 'n': 39, 'trace_an': 0}
  • id: 51835312
    {'hecke_orbit_code': 36028797153182011, 'n': 40, 'trace_an': 52125}
  • id: 51835313
    {'hecke_orbit_code': 36028797153182011, 'n': 41, 'trace_an': 325240}
  • id: 51835314
    {'hecke_orbit_code': 36028797153182011, 'n': 42, 'trace_an': 0}
  • id: 51835315
    {'hecke_orbit_code': 36028797153182011, 'n': 43, 'trace_an': 736184}
  • id: 51835316
    {'hecke_orbit_code': 36028797153182011, 'n': 44, 'trace_an': -2151396}
  • id: 51835317
    {'hecke_orbit_code': 36028797153182011, 'n': 45, 'trace_an': 0}
  • id: 51835318
    {'hecke_orbit_code': 36028797153182011, 'n': 46, 'trace_an': -1289480}
  • id: 51835319
    {'hecke_orbit_code': 36028797153182011, 'n': 47, 'trace_an': -1661296}
  • id: 51835320
    {'hecke_orbit_code': 36028797153182011, 'n': 48, 'trace_an': 0}
  • id: 51835321
    {'hecke_orbit_code': 36028797153182011, 'n': 49, 'trace_an': 470596}
  • id: 51835322
    {'hecke_orbit_code': 36028797153182011, 'n': 50, 'trace_an': 15625}
  • id: 51835323
    {'hecke_orbit_code': 36028797153182011, 'n': 51, 'trace_an': 0}
  • id: 51835324
    {'hecke_orbit_code': 36028797153182011, 'n': 52, 'trace_an': 2618462}
  • id: 51835325
    {'hecke_orbit_code': 36028797153182011, 'n': 53, 'trace_an': -2569036}
  • id: 51835326
    {'hecke_orbit_code': 36028797153182011, 'n': 54, 'trace_an': 0}
  • id: 51835327
    {'hecke_orbit_code': 36028797153182011, 'n': 55, 'trace_an': 981500}
  • id: 51835328
    {'hecke_orbit_code': 36028797153182011, 'n': 56, 'trace_an': 143031}
  • id: 51835329
    {'hecke_orbit_code': 36028797153182011, 'n': 57, 'trace_an': 0}
  • id: 51835330
    {'hecke_orbit_code': 36028797153182011, 'n': 58, 'trace_an': -553222}
  • id: 51835331
    {'hecke_orbit_code': 36028797153182011, 'n': 59, 'trace_an': -3128416}
  • id: 51835332
    {'hecke_orbit_code': 36028797153182011, 'n': 60, 'trace_an': 0}
  • id: 51835333
    {'hecke_orbit_code': 36028797153182011, 'n': 61, 'trace_an': 1392912}
  • id: 51835334
    {'hecke_orbit_code': 36028797153182011, 'n': 62, 'trace_an': 1590240}
  • id: 51835335
    {'hecke_orbit_code': 36028797153182011, 'n': 63, 'trace_an': 0}
  • id: 51835336
    {'hecke_orbit_code': 36028797153182011, 'n': 64, 'trace_an': 2081297}
  • id: 51835337
    {'hecke_orbit_code': 36028797153182011, 'n': 65, 'trace_an': -2316500}
  • id: 51835338
    {'hecke_orbit_code': 36028797153182011, 'n': 66, 'trace_an': 0}
  • id: 51835339
    {'hecke_orbit_code': 36028797153182011, 'n': 67, 'trace_an': 1654088}
  • id: 51835340
    {'hecke_orbit_code': 36028797153182011, 'n': 68, 'trace_an': -8005658}
  • id: 51835341
    {'hecke_orbit_code': 36028797153182011, 'n': 69, 'trace_an': 0}
  • id: 51835342
    {'hecke_orbit_code': 36028797153182011, 'n': 70, 'trace_an': 42875}
  • id: 51835343
    {'hecke_orbit_code': 36028797153182011, 'n': 71, 'trace_an': -2863060}
  • id: 51835344
    {'hecke_orbit_code': 36028797153182011, 'n': 72, 'trace_an': 0}
  • id: 51835345
    {'hecke_orbit_code': 36028797153182011, 'n': 73, 'trace_an': 4095068}
  • id: 51835346
    {'hecke_orbit_code': 36028797153182011, 'n': 74, 'trace_an': -8950482}
  • id: 51835347
    {'hecke_orbit_code': 36028797153182011, 'n': 75, 'trace_an': 0}
  • id: 51835348
    {'hecke_orbit_code': 36028797153182011, 'n': 76, 'trace_an': -8510596}
  • id: 51835349
    {'hecke_orbit_code': 36028797153182011, 'n': 77, 'trace_an': 2693236}
  • id: 51835350
    {'hecke_orbit_code': 36028797153182011, 'n': 78, 'trace_an': 0}
  • id: 51835351
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