Newform data - 245.10.a.g

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• 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': 24500, 'analytic_conductor': 126.18377986014892, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[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': [245, 1, [197, 101], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 17891443056697432560403040, 'field_disc_factorization': [[2, 5], [5, 1], [4630157773, 1], [24150693040403, 1]], 'field_poly': [-14714266, -6329061, 2066979, 3368, -3018, -3, 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, [-15252160, -5838048, 1934724, 32578, -2928, -15, 1]], [3, [535011154704, -276529883256, 2558648241, 12815820, -106906, -124, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27021597931995381, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 360, 'hecke_ring_index_factorization': [[2, 3], [3, 2], [5, 1]], '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': '245.10.a.g', 'level': 245, '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': [5, 7], 'level_radical': 35, 'minimal_twist': '35.10.a.e', 'prim_orbit_index': 1, 'qexp_display': 'q+(3-\\beta _{1})q^{2}+(20+\\beta _{1}-\\beta _{2})q^{3}+(503+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '245.10.a', 'trace_display': [15, 124, -3750, 0], 'trace_hash': 1687872033684094854, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.071', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.533', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.871', 'prec': 17}, {'__RealLiteral__': 0, 'data': '88.429', 'prec': 20}, {'__RealLiteral__': 0, 'data': '17.044', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2237.945', 'prec': 27}], 'trace_zratio': 0, 'traces': [6, 15, 124, 3009, -3750, -4888, 0, 22041, 111090, -9375, -47796, 541656, -102168, 0, -77500, 2371065, 38472, 1837015, -361056, -1880625, 0, 2068680, 697032, -4828076, 2343750, -10847622, -1653188, 0, 16028184, 3055000, -1362912, -1148823, -14059020, 9216294, 0, 92319641, -3912924, -39877140, -20341868, -13775625, -22452756, 0, -29998992, -94378728, -69431250, 49589520, 121271508, 327116052, 0, 5859375, -281338180, 44528550, -20308596, 290104308, 29872500, 0, 186940744, 256759494, -120280392, -338535000, 87693540, 344802528, 0, 640647105, 63855000, 1393970692, 495050664, 141443706, 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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

  
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29322200984], [606303559989713, -1145348565082, -3478220377350, -785599456530, 727075960380, -754451781945], [-613504150692416, -34588793677507, -1209324259997, 781976222952, 1696822720008, -232671206030], [181573685717569, -31673537101788, 2358141953852, 482867183250, 229146554948, -792037873671], [-1050042453637423, -22022473078759, -2700229782361, 565080910314, -438581272756, -38651634981], [242985567399391, -30497492146485, -2537924696555, 329689457514, 38575255708, 68410030887], [754244085733793, 46591446685630, -3133456263902, 253355670594, -1615948510092, -315183063083], [-310719847119116, 3734249513836, 952600714708, 164121087648, -841323426512, 372243978732], [735617126498539, 13810443627955, -1676563151091, 180298059450, 1785134055860, -403130771891], [219267146101722, -16005061070774, 3513906355126, 1441990851468, 1710892464232, -111093077526], [1025339771628682, -6397580515596, -2334104398804, -752415004992, 1038968306416, -402413007500], [46654474398258, -30083883624016, 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[1537208581359212, 25586285169948, -7229923603164, -1611527869236, -5756894725400, 1824893270042], [280666781159189, 8907331970858, 10274362349302, 1541258874642, -274803004508, 875774127969], [-2483007226867169, -17046916361202, -20750994647278, 1680810599238, 781178237596, 342668718799]], 'char_orbit_index': 1, 'field_poly': [-14714266, -6329061, 2066979, 3368, -3018, -3, 1], 'hecke_orbit_code': 27021597931995381, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1562184, 781092, 781092, 390546], 'hecke_ring_inverse_denominators': [1, 1, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [1006, 3, -2, 0, 1, 0], [2006, 1669, -26, -15, 6, 1], [1661740, 15009, -4488, -417, 1759, 113], [12922358, 3019227, -77080, -43662, 24642, 4238]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [14392190, 92091141, 1251392, -175920, -1106, 71], [-215878594, 86026127, -960318, -26942, 876, -17], [-771386362, 89747865, 2032484, -175920, -1106, 71], [5183590, 322723500, -5165789, -427239, 2699, 121]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '245.10.a.g', 'level': 245, 'maxp': 2999, 'weight': 10}
• mf_newspaces •

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

  
  {'ALdims': [29, 33, 31, 30], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [4, 4, 4, 4], 'ALdims_old': [29, 30, 31, 31], 'Nk2': 24500, 'analytic_conductor': 126.18377986014892, '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': [245, 1, [197, 101], [1, 1]], 'conrey_index': 1, 'cusp_dim': 244, 'dim': 123, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 167772405, 'hecke_orbit_dims': [1, 1, 2, 2, 4, 5, 6, 9, 9, 11, 11, 13, 13, 18, 18], 'label': '245.10.a', 'level': 245, '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': [5, 7], 'level_radical': 35, 'mf_dim': 260, 'mf_new_dim': 123, 'num_forms': 15, 'plus_dim': 59, 'prim_orbit_index': 1, 'relative_dim': 123, 'sturm_bound': 280, 'trace_bound': 3, 'trace_display': [50, 146, -625, 0], 'traces': [123, 50, 146, 30976, -625, 120, 0, 55332, 747647, -21250, -66196, 199436, -93534, 0, -31250, 7517236, 356990, 28958, -518568, -932500, 0, -5260264, 5283346, 1570132, 48046875, -19131552, 1722308, 0, -4108130, 855000, 12667708, 42764404, -46451880, -14559780, 0, 128215896, 73439126, 14270500, 30064716, -32835000, -61003334, 0, -107787142, 39890212, -39565625, 124732556, -28362334, 201892524, 0, 19531250, 168701244, -88413024, 63368254, 118759324, 48335000, 0, 486450704, -291910792, 130890704, 183702500, 315200674, 206213544, 0, 1740196620, -73201250, 896660604, 325989198, 663170644, -439827468, 0, -286870420, -1133150864, -370085770, -1334085264, 57031250, 1523192108, 0, 1039087272, 732597960, -1336790000, 4424658199, -372376144, -1331291174, 0, 689276250, 2620304736, -3282442652, -1109567152, 2769543798, 452386250, 0, -44664676, 1352429664, 4915128468, 808802500, -599218692, -678170858, 0, 485561676, 12100000000, -1639506434, 7974928944, 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• mf_twists_nf •

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

  
  
  • id: 197374
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '245.10.a.g', 'source_level': 245, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '35.10.a.e', 'target_level': 35, 'twist_class_label': '35.10.a.e', 'twist_class_level': 35, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 197375
    {'conductor': 35, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '245.10.a.g', 'source_level': 245, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '175.10.a.g', 'target_level': 175, 'twist_class_label': '35.10.a.e', 'twist_class_level': 35, 'twisting_char_label': '35.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 197376
    {'conductor': 35, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '245.10.a.g', 'source_level': 245, 'target_char_orbit': 2, 'target_dim': 12, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '175.10.b.g', 'target_level': 175, 'twist_class_label': '35.10.a.e', 'twist_class_level': 35, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 10}
  • id: 197377
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '245.10.a.g', 'source_level': 245, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '245.10.a.g', 'target_level': 245, 'twist_class_label': '35.10.a.e', 'twist_class_level': 35, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 10}
  • id: 197378
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '245.10.a.g', 'source_level': 245, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '315.10.a.l', 'target_level': 315, 'twist_class_label': '35.10.a.e', 'twist_class_level': 35, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 579300
    {'charpoly_factorization': [[[-15252160, -5838048, 1934724, 32578, -2928, -15, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 2}
  • id: 579301
    {'charpoly_factorization': [[[535011154704, -276529883256, 2558648241, 12815820, -106906, -124, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 3}
  • id: 579302
    {'charpoly_factorization': [[[625, 1], 6]], 'hecke_orbit_code': 27021597931995381, 'p': 5}
  • id: 579303
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 27021597931995381, 'p': 7}
  • id: 579304
    {'charpoly_factorization': [[[782797985332715245973493776, 364604557226749783862472, 6491457645630345777, -292720127096644, -5767855482, 47796, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 11}
  • id: 579305
    {'charpoly_factorization': [[[11612351457980944027962547460, 3235882884908719694604492, 63735625199874747321, -1719459109744588, -19851447510, 102168, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 13}
  • id: 579306
    {'charpoly_factorization': [[[-10640131566538787801406260508028, 435424165217806248481312404, 7717340916473738158569, -35101629810511652, -289449676614, -38472, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 17}
  • id: 579307
    {'charpoly_factorization': [[[-24992189332890331698162980190790400, 29544368140812597548213412480, 288498169514037368533200, -229600997806678176, -969268445640, 361056, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 19}
  • id: 579308
    {'charpoly_factorization': [[[-529130267131859373743352162982030336, 483980617170603801845997294336, 7288232485139200767131472, 4929803961325721312, -7065374599128, -697032, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 23}
  • id: 579309
    {'charpoly_factorization': [[[-1300486226811528912678404579152254981500, 1902824301874056068264413147343700, -721772762771907991929703575, -42984410008791538996, 79318217722650, -16028184, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 29}
  • id: 579310
    {'charpoly_factorization': [[[-4887952907502879334995218597790351360000, -858253426209138608734811494809600, 1180623049538659474345648128, 60373686557443322880, -76953055501872, 1362912, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 31}
  • id: 579311
    {'charpoly_factorization': [[[-4296391256127365863232143488570313585419456, 46592074858294557465823810201940928, 91879401484637522193086309232, -796004813794276987488, -584725287527316, 3912924, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 37}
  • id: 579312
    {'charpoly_factorization': [[[-7495303047073191137843463133210027454464, -49540857405671823669608622979838976, -35718296393234163917391292608, -7877354273484266380480, -342254808668748, 22452756, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 41}
  • id: 579313
    {'charpoly_factorization': [[[-5645540539425346689651853736640331064615680, 1068213587393464763273919806628980352, 161950815999734293801987671504, -14547902986068341914720, -635004638098824, 29998992, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 43}
  • id: 579314
    {'charpoly_factorization': [[[-1599036055782591529348078041014583235925912576, 245493247133067622610925249303853496640, -12737819429262209953004264133183, 212369727681320904756076, 2691267569962086, -121271508, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 47}
  • id: 579315
    {'charpoly_factorization': [[[-85263276424735748213636586181657569150020927488, 720491971878824071706431038871731142656, 63054562103859221264262873678336, -245881428192529136988160, -14188920963610716, 20308596, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 53}
  • id: 579316
    {'charpoly_factorization': [[[-374002404985165871586714433613632707096192512000, 6811426145723904934860151704340131072000, 197315320365759117254234326859520, -2172210565789437077223680, -25443466990736784, 120280392, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 59}
  • id: 579317
    {'charpoly_factorization': [[[-520789463936045281757030610932018699491282415616, -29035873128174525546085510487917886057472, 534176197212880032696545347660608, 3273297327562203136865088, -45099073090925100, -87693540, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 61}
  • id: 579318
    {'charpoly_factorization': [[[-68157270462010959682740105773305881538868543488, 3660620647392128140486451569750424027136, 34557527514101986208699198595072, -4278810248476060709655040, 75764144438414352, -495050664, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 67}
  • id: 579319
    {'charpoly_factorization': [[[200231138113584556587760510592310640029226762240, -13686948416097126340305770374379258314752, -407963924544046133510400863145984, 24024110960581283481307136, -122685171983984448, -253762512, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 71}
  • id: 579320
    {'charpoly_factorization': [[[-4928687793832052531460356534597837288305330618816, 566403692401371537099669212560608579638976, 4239589263920793927257899631630064, -20703363858107595877087328, -134194469221237668, 187195308, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 73}
  • id: 579321
    {'charpoly_factorization': [[[1034441902801041393062975943490077244014999639136000, -6840575213909797555635766589556792626889600, -17662318336852277424667128939726735, 151257312510242877460155156, -29324158012689450, -831079500, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 79}
  • id: 579322
    {'charpoly_factorization': [[[74680007968829110020622159538815462798469832921088, -232033392834872273227204518173908722395136, -8034157837762336913770522766833920, 45616259256408021969289472, 68773766688983856, -767650536, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 83}
  • id: 579323
    {'charpoly_factorization': [[[18435386386885260306007883131190134523312142179891200, 157794980679599813983399946531822453172257280, 235260617309007902197866021831549120, -708104570493841852263289344, -1223438892794948460, 582579684, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 89}
  • id: 579324
    {'charpoly_factorization': [[[279541747322237102500691898938776784071876814247172, -38588753082784567770802396650385257630985932, -98964082216064874152197912409046855, 1088830400218298212077074796, -766991756154523926, -1184506872, 1], 1]], 'hecke_orbit_code': 27021597931995381, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 7, 'label': '245.10.a.g', 'level': 245, 'portrait': 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ktNh9GSwJY2s4sOp2YE5+YjLqxEuMUud17X4e03gCtrHD9f5cKCYi5j7iXDyWXDtQeW+IUP1Nk4NsL5uTEWVoo0OzaLq4LDpyNWvR5vuSlmfsHhyIzNnTdP6ddfs+dToyMjP+UHYWvX5d/1WkPif+j4aw3wi3MtJmuGrscvX7x46pav3/Pn8uKsueXk+Tnrxit63LinwqEzRXZsCPECl3OzFkv1mNVmyEozZr4BZ1YEUxMN/tUPr3Dd7hIXF8aYXSwzu2yxsGKYX464tBSz2I6ojXm87mCHG/eBI4u4ymVhtcDcssX8qqDrQxRpCo6mXIgZHYnQwPn5iFYHtq6zKRd9jBEgHDo9zZZpn5WGBSaRIo0O+BEYDKvNgI1TNu2eQiiD0D7Vgs2W9R6NruD8rEWsLcarkkpB4NoQRYKuL5lflcytGBbqEa7rgR1x0/4OtxwQTFaLrNSrXFxwmV2GheWIhdWImVU4vWK4dv8y/+qDq6yvjXBxIQH3UsNhuS5ZXI24uBDgRTE71iteOmu4en+da3e6aKaiZqAfu+ON36e3b9vzWK+rfn58MkSIv77V0b+2GvwLn/8jbrj+en7y7/yf//bJJ771jz/9pXt2jVdntu1Zr+Vyo8TcasD1B5rs2WihjUWkJUYrDBIQSAxKGlwJMytFnjwpObhzlX2bPUoFsC2JYyscx6JclJRsSbdjc/xcgfueczi/6NOKQo5f9Fk3vso7Xlfn4K421+5rcm45YrkrKLkeZ2YNzVaZy3dIGl7M0XOKSsniyHnYvcHgBTFe7GBZIaMVOHbRRVkxtoywbOj5kuv3del1JQd3xbR6MednK2yfVpRLAQ3fMFXrUu+0+NQD8MLZmJfOemzdsMIVe1uMjgW89aY2777NsHO6QhzWODszwulLNhfnNZcWQy4txpxeFFxohFy5Z4l//cNtpkdGuTA/xvxKiaWGw0pDstKMqbciOr2YTg+OX5JgdXjrjdBuj/K1xz3ZCRrbiubs9tVGcMPO3RuKtj1+//33fZqPffxTrzVkXvX4a8ngf/65LzI+drOanf38vyzZS//3S0cW1dMve1yq9/jgWwImyiPc+7zH7dct85ZrXM7NjlJvuaw0HVaaFqstWG3GNFoRq+2I5SZcrAusosfNB1Z5/20B26fKNDpVFleLLK06LDcFq03NSlNTb2taPU3LN3S9iPFqyJZ1GhC4tuHSoo2QLlunFNs3GDZMdVmo+7x4ssI1uw2lYp3Dp8aolAOCwGZ8VNPz4LItHn/8QI29myN83zAxIgnjHpWCy5FzHkW7zFV7Il46E7Cw4rBx3GX7etgyHaBUyKVlcGyDEIat6yJGK5J2z6XTtWl1bVZbitUGrDQ1q82Y5WbMfBNWvJgtGzu8//Zlbt5nUbCrzC1XWa4XWG5YrLaS795oh6y2YuptzWpHcmpR8KYbF7njCpf7n6oxPr7KB+/yuDg7zcvnChRrG+LrDk79201j1/7rhcaJ+M673/VaQ+cVx18rgM9dOsRYtVB84JmLW86ePv2+1eWz/2a6doSJ6iSPv1Tm0cMBq36bf/j+Op7fBRHxgTfbzC2Os9woU28VqLccVlOQN9qaRjui0Y5YbRkWmoLZjgHR4V23Nnnr9Zod6wsEQYl6s0Cj49BsK+odQbsr8HxDEBnimGQ1sKHoGmpVw9RYiGV7nJ4LOHTKRUdl7r4hwLIbPHt0hG3r4WtPRdx6uctis0fBUkRxyNgoRKGNZUesrJR43dUtvvZ4he3r4ZmTPjYl7rpeE4keh07HnL1UwJIO60YtRsuCoitwHIESEGkIQoMXQLtraHQ07a6m0dWsdAy9OGbrpi5vvbHJu24JQFdYaYywuFpkpWmz2rKoN6HRjpPr1IlptDUrHcFsW7GwGvBjb71AaCRtr8Q/fq9Ps7GBR18o8+jLParVFm+5aQfTUxv+n32X7f2zntl9Ad3tXXPlvtcaSv3jrw3AT58+hl3c5ETt53/k+SPHfvOeB18WfteXJ+Z8vuvWHlvGajz0nM0Tx0JWo5BO6LN9ssGv/HiDq3cXWK7XWGkOQF5vWzTagkbb0OokN7DZ0dQ7hsW2YK6pGa11edO1bW7aF7F1naJatGm1C7i2BBRBJNFaoA10PUBoRiseJ2cM2gTc+0wZv1tk10aHmw92CXWDh56rcdVum5PzHZr1Kjce7HL/sy7rxgxHzxv+j3e2OHrOZd2Y5L7nFDdfpljttjhzcYyr9gQ8dKhH5Je4ab/Dzs0evajDPc8qiAWnL1lUSxaWgG5Poo0g1oYwAqTGcjTNjqFcCdm83ueWy7q86ZqI8XKBhdURVhrF/rWptwTNDjTaEa1ORLMT0+gYVrqShbZguR1x074Ffuknltg4btPzKnS6Ezx+aJQHXwjYsGGV775ZcOr8CLYj9dj01WZy/f6fvf3Gyz969sJcsGvX3tcaUsBfE4Ab05GYzjtmTnx217NHi7968ex99txSjUOnJReXYzzd4b1vMMzM1jh+IeZSXTLfEdQ7ITddtsSv/MQSV+9yaLRGWG5UaLQLNNoOjY5Fs61odqHdMbS6Ea1OTKenaXYNSx3BUgfC2OeK3T2mx2I6XcNbbvTZNq2JYoklDUEID75Y4MJigfWjEYdPF0CX2LdJcfVejVvo8uzJLkvLZQ5sK1Ot1Xn8JZvrdhdY6Tao16tMTxueOqr4wTd2ePqoxaYpm+VOk/rqGFdf1uXxwzFjxRoHdnVYbDZ56uUaRavMtXsNe7Z4IDu8eFYwNRaysBTy0Is2XqiQEmJt2LY+4E03BrQ7ig2jmqt3QxCUWG2WWG26NDo2ra6i2ZG0OtDqxrQ6Ma1unLI+rHQFsy1B0/O5ec8Sv/QTq1y3x2G1OcJqq8zcUpmj520urNR5/xtbBP4kFxdKPHs8Zma5w1vecFv48kX+6Ye+/3tO1aqlL6+fcPVrja3XHOArqz20jj509uwj/+no4a+PhZ0AATiOzUsnbC4tBpxbiBEipmBJjIGOL2j2BMueZL4dc/2eVd55ywrf/8aIkVKZ+ZUqjVaRZseh2bFpdS3aXUmrB52uoevFdHoxPV/T8w1tD1Y7go5nCCLNxGiE6xpA4CiDJQXdnkJgMzFisW1asHODYcvGLn7c5utPK46dqvDma1xuvLLOx7+uccQo77y9y5cej9hYq7JpQ5cHni3yXTcH3PcCbJ8ssH7dKl95pMQ7b7Wx3WU+9pUqt+wvcecNLV487/HNpywCv8y2dQ47Ngi2ro+ZHA2QMqTjxSilsZQBDCXXMFmDILRpdx3qbZuOZ9HtKTqepNODjmfodDWdXky7F9PpGVo9TaMnWOooFhqaUrXFD925yPfcHHDlzgIrzQrNTpF216XTszHa4Lg+AouzM2UuzgteOuNj2waEYMsWh7e88e7V2193yz+yLetjQhVeU3y9pqX6IGgjhP7xIy899st/+mcPjD34UoN33ubztutt5pZH2DwtEMKh4EQ02pIo1sQapDBIYbCUwVWSl05N8PzJIidnF3nnLR1u2e9Rq1RZbZYotwpUew6drkU7vdk9z6LrW3i+wQs0QWgIQ0MUJ2cQORgNUglsS1BwBLWKYLQC0xOaTeu6TIw2+caz8PDzNlKP8OZrbK7c1+bRl0MCr8rNVwqavR6LK2Vu2qOZqHUpWi5epFhqhSgtuHKPRani89zxAq+/eoQbr2jz3HEFZoRr9jv82NtXuf+FgPueLnP0QoEtk4rpsSKjlRIjFSi6YFsGJUEbOHpWEMeCMBIEEfghyXf0k4fZ8zVdT9P1NZ0etHxY7igW2uDrHndctcI7bmnxA3dqoqjK/Eo5BbZDp2fhBYpYC6K2y0pLsbhqmFkMaXU0M/WYO29s8KYrY04fuW+s54l//8Y33Gq1Ot3fr5ZL/+sB3JhlIP6xb37riV9+5pl7piarPaYqVb78qMVItc6dV/pE8TqiuICSDkU3oufHeL7GsxJwO8rgKE3REiz3SnzygU188/k2t17e4AN3NLh8e4fxWomVRol2z6Xbs1Ngq+QMBH4oCSNBFCVLvTHJ51PSYFlQcKBU1IxVQjZOdYnocHIm5FMPFThzsUzNLXLdfoubDrZ46kSTe5+ocsPuAlvWd/njBwRKuFQrIY2OjzagBExWu7TaDjoq8o5bF/nk10rsXCjw1hu6BOEKDx0aJ4wLXL9/irde12L35ibffK7LSxdLvHjWYdOYZKwqKLkCx04eQilACIM2oLUhjNKHNTT4YfIgewH0Amh7grovWG2DsDyu2tvgA29qcOuBmPFKgUarRKNdotNz6Ho2Hc+m50m6vsTzJV1P0GxrluohM0sRp5ZCbrumxbteJ2g0p3jxeJeZ1a9PjVb45U07X2dOnm/+we6tI/9rAPwP//gPeObUOv7lrz30w9s2zP/qOufliYmSR2G0wNUdm0OnBX92r8GYFjfu6tBs20SxhZQWtiWxrTg9NbYFtm1wbUPRFtQ9i5XGKH/2rTJPHu5w8xUNPnBng6t2NhmPi0SRS9cr0OnZ9HyLIFSEkSSKJbEWaCMQJKuD62hKhQjXCXBsn5kVn688Izl1yeHspVGUdtm53uGy7Ypr9rVQ7hKHTlfYWCtxYAdMT9ZZbVW5fKMk0oZvPO3idyW1csRd13t8+aGQC/MV9u6ymWt4HDljs3ndKFdsX+LRl9o8fkTgBw77to+xb7PLvk1tTs+tcmoGnj5W4uSZMiVL4FqSsmso2CBlojmNSR7WKIYggiAWdHxByxO0Qgh0hDYe1+5u8YE3tbj18pj1Yw6eX2WlmciRbs+m61l0PIuep+j5gq4v6PmCTk/TakfUWxFzTcMbru3y/W9QrKyO8+JJm9lln4V6l9Oz35j60LtP/OqNl9Ui0/nUx7/2zRXe9l0/87cX4M8++ilu/9kH+e1/dt0PXLo0+1++8LVLtct2NnnP6zWdjsTzLSxlc+Jihfl5RbhNU3RjqiUJRqKkwrYS1nJ8jWNpHFvj2oaCbSg5MbWCoO3b1FujfPbhKg+86LFutMv7bm+yb7OH1+twYLth87TCD23iWBFricnALTW2FXN+wXB2XtDoab74aImZ5VFMYDNaUGwYt9g6bbFjIxzY2ULLZT785TKrqyPcsM/iwM4m33xRICKbqVFJuRTRDR2kSb+H5dD0BAurgv2mxO3XtHnsuSIbJhxuODDGj759mY9+rc3Tx8t0PJuVRoXtG4rsXd/l+j1tvvf1bWZXV/nioy4rXZfzczYzMw62EkgpEQi0McQaQm2II83oeMjB/V18P2TfZp/33O4zNaIYq7iEYYG5pQLdnkPXTx7+rqfo+ZKen4C75wl6PvT8mK6XaHgvMNgSNo2VmZkvcPyCxYW5gIVVTTOM+a5bZ1g6vzrx2bNb/svU9PrwbW++/0/+2+9+iv/jp97/tw/gH/vEp/n9b9wgPvlLwXuPnbr4e0+8eLFkC8X9T9ZwnAU+cMccBXeSUqHM9IRFuVii1Y1QylAqxBgDUkosK7GPWlYCRMcWuLamYBuKoaEUGEYKMaNFQTeQtIMyZy+V+Xd/MgY6QkQR1xzssn06IIpAG40xSRFHCoFUAst2OH7B4eipAuWCRcWRTJQEk+OSqTGLDZOKretj9m5tEIsVfuNzVc5fqHHDHpt922J6UZsnDrnUijbjI4ZaJaBUTKSQ1pKmp1jtGFaaMc1OkdcdaPDM0S7HLihq1QLX76/xE+9Y4b99Hp47VabTMzTaFgurVaYnSkyNemwd9/gn7+1SLTV56SwcvyixbYNSBiE0YJL/GYgi2DYdc/PlEXFoE0YuxpTwApv5ZYdeCmovUH351gsEni/wAplIm1TLZ3q+52siDaNFw6mzNrOzhtW2z7lFw0Iv4ANvqvO26yucm3GR5mxtblb93h995ruin/3Juz59xe7PmNvvfM/fHoA/++hH2bw+UjvW3/uupw8vfPzZI2cK+7eWWVyGwIv47P2TGLHAj909R6U4zmK9RBTLfoqnZASCTBfLlMUVvi3xA40bxPihoRhq/FATBIZqBH6o8SMIIoEXSvzYJYwLHDtV5sVjEBtDAu1EG9sSHJV4PiouHFgP1SKMlCWjFcV4zWJqDLZM+6yfbBCaVX7jcyOcPjPC1TsUOzZJdm6q860jEQsrI1yzXTJa1RScHq50MUok38sYojig3imwsGJz9b4iV+5p8+hzBdaNCkqFClfv0fzdd63wXz6vOTJTodHRNNqKpbrFRK3MaLXIaHWEailkshyy9eoA146wrQilYqRIgglD8lCFoWJxySKMFGGkCEKFH6Y/A4kfSvxA4gUSPxBJgBoI/MDgBxo/0HhBjB8YPF/TCzKdD/MrMVGsmW8J6oHHj75llffdVuTczAirLZuFFcnGqZdLSPHx3/y9r2qrPP253/roZ+K/8yN/9SD/Kwf42Zd/gw2TXfXU4fp7jpxZ+dim2tlCuGMM15ZUCxa2JTDAn987jRKzfOjNi7jOKK2uSxBaBKGFkgYlFEoZLMvgWBLHFvi2wHcUQZgAPQwNQRQnWZEod8YQxYY4zcLEWqA1fXALAUqCJcG2wbUEBVdQciXlkmKkJBkdEUyNRWyd7lIpN/jcYwEPHRqjsVzl4BbF1vU2uzd7xKLBN54uUbYtJkcVlZLHodMkHfebDV1fccXukIM7DfNzMUt1h55X4u7r2jzyUo+TM4pyUeI6VS7fofnXP7zCg0d6fPnBCVZahq1TMfWmRa2qGCnbVEo25aKh4GpcR+NaMZZKpJaUyT0whqRgpQWRlkSxIIoEYSQJIkEYSvwwybwEoSAIDUEAfhgThAm4/TDJNvmBwQsNXmDwQ/AjgR8JVj1BZHr8yFuWef/tZc7NjnNmxuHCnCaIYtq9EV6+eLrwtjeEnzBe+0MXV0c+80u/8bH4X/y9D/3NBvg9z0/JghV8XzE69dsf+8LFwnWXaX7wzhXQZc7NlbEtC8cWxCbiw1+YxvMu8H++bxXLqtL1XPzAxlIWlrKwLZUyt8G1Bb4jCUKR3JxQEUYQhDJhlmiQ9otiTRwn2YXYpJmSNFsihEBKUFJgWQLHEriOpOBKykVBtWSoVTTrxnwmR9tEpsGnH5F89GvjTBUKHNwi2LLeZtsGzdb1dT73hGF1tcC+acVoFSqlkIVzksW6i7Md/FAwOSKp1eDkWUO9pZlfLrB7W4E3XtPmKw8XGK+A6zgoWePynYKffOsitlzkS4+O8vJMgXWtkKlaxEhZUSkqSkVJ0bVwHXBtsNIskxQgRQ7kJA92rCGOBVFMCnQIY0MQQRjGCSmEmiAyBKFOT/DDpOjlhQYvFHgh9CJB3ZfUg5Cf/745PniHw+GTia/+0kLM3HLI2UVFJAK+/+4Oe9cdLTx23Pq9Wy4XVq2i/pSEZ/5mAvw//vaXqK/qH3751Kn/sG1kvnr5piqPvhBQKC7zQ29qceXuGhMjI4xWXUoFwUuXAp4+Kim6LQQKlQZ8lrJxrBjHtnAChW+rFNwqZRyRMFHKSlFEcvPiZAnVOgm4tDaYLA9IwtxCCJQSWEpgWwlACi6UCppKMaJWiZis9ZgYbfDYsYBP3Fvk+Nka20Zsdk7DpmmHTetg75YW3ajFU0erFJXN5KiiVoFaxWd0JMJxLIRIHq6e77DaCml0Dc1OxGLdYct0hRv3LXLv012Oz1QpuSG2chBihJ0bFT905zLX7l3kE/dWeOpwjZWOxVQ1olaKKBUkxYLCtQWuLbFtgaUkSpGmDxOUG8AYk6xeKdCjWKerW0IKYaSJ4gTcYQhhZFKgm0TuhQIvEnihoB0KmpGgFWh02OGW/W0MVZ49BqcvBlxY0lxYMQinywfe3OQNl5d49miNTv1sdbzQ+Y1d265zZk997qMbdr3rbx7AjVkB5I9//nNf+eXHHp0bX5g3OHhMlhy+9ugExy42ufOqJrcdaLNjU5Gbroi58qpFFpcillohW9a1sFoxlhVhWw6BbeOENq4zrB/DUBJGkjBOwB1GCTPFsSTSpMwt0YYBuJMiZcrcYKmkYOLYhoKjKRYiKoWI0arP+okWC80uv/lFm288M8ZqvcyuScGWKcHGKYdNU4LtGzwsp8EnH7I4c7HMnnWS0YpkpBwjpc/MksG1JFKAMYIgtNg61eJpYlpdRb1lWFgtsmdTge+9vclnvulwbsHFtkKEsNGmTBhJrtleZ+v3t/jGc13++BtjPHuuzMZRwUQ5plyIKTgC1xY4dhKnWIokcJaiH88Ykocsy5fHOgF8H+RxIukSeTdg9iAS+FEiSXqhoB0JOhH0ggjd8di2vs3nHlIszgueOxsShIqREY87bmpy51U+ezaUWVgZZWKsw+RYxMWL9fHZpverN77uXer0xebv79z8V5Mn/ysBuA7rgP2jf/6Vh395ceH5qTuuUbxwskKrEzBZE0Ta4vDxcZ4/XuL+PS12TLexVYS0FY+9VOCLj8T80N1d3nZDi4mRgI7n0vMd3NDp6/IgUoShIowswlgmS20siSJJHAtiLQZaWyc636TgFunSrVSSdbBVmm50YopuRKXoM1Hr0At7fPOQ4VPfGuGpwzVGHZvLNxrWj0nWjTtsmJRsWhewY2Odl871+OIjk4woi8kRQbUsqJZCmt2Yrz1RoOIYhEiA1fMt3nGzz1efTDwxzY5msW6xaarCO2/p8NSxNkdPOpTdCCVFAnJdwgsSrf9Db2yyZ/0in3ywxeMv17hQLzJdFYwUDCVHU7A0jg2WEiiZPMgJk0PmztCpVNN6sMJFerDqRTGEsSCI06poJPBiQTcSdGLwgpjYDyiXOrzzrjo/dHeLoqt54iXB1VdeREnB9mnNtbskcTTCxfkaS3UbKSvUW4LnT2jGxl+YOrB74pent96h5xfbH5meqvz1BrjvNbg069FoWx88+vLDv7Z47qvjW6YuMra1xkh5lEuLJVYaMa4TUnJjLq4UePqIy/0vRMRhhDFJ5kOaiGdf7vGZg23ec0ePu272GRuxCQIXP3QIQjsBdpRkBaJIEcVpwSYeAFyblLn1wHIjhEmDysTHYVkax04+U9ENqBR7xPS4/znJnzxQ4/DZEUTosm3UsL5mmKgpJsccpickGyZDtky3uLjU5ne+XCbyi2zaJKhVLKplqJZChB3Q6pWpVQxCCIyBMJKMuYpIR7RDh3Y3pt5SzCwV2b+jwk99V4Nf/VOX80tlLBWmD4ZFFBXwAsn0uMs1u1oc3NHhyPkZPvWtIvc+W2O2WaTsKioOlG2DYxlsBZZMyvlCDJuPNGB08tDFWhAbiGKR5M9jQRCDHwt6scCLoRcZoihEhwHjhR5339ngfXe0uPVgyGhRoY3NNXs0sfYIgiR4XmmMcHGhwvyyw1IDVhoWs0sRR2djrNkGmvun3vFm9Ws333hL1Fid/8NQF5ic+MvrEPpLBbjn9di4ofjdx44889++9NUHqxcW2mjL5oNvWuXADigXRpgt2xQLyfJryZCCDYtth1bg0ovA2BDqmEW/yJeeKvPQkR7X39fm7727w/4tbSZrimrZIggcgsgmykAeqxTcklhLtEmMWcaIfvk9YW6dZGOUxrIiXCfCVgGtXshSK+TXP1fg7OIozx2tYbTDeFEwNWGYGBGMVxXjNZt145Lp8YiNk13Ga3W+8bzm2ZdrHNwkGK1IKiVJtaQpFwOE7eO6FpZK3t+YRD71fIueFxJpQbunaXcMqy2b+ZUqN+3tcOP+Bp+8r0BxVWHJMAGksYhihyCU9HybiVqBa3d2uHZXh6dvm+X8kuQT99ZYbJS4tOLiKEnZFjiZDJNJ4Nkn8kyqkDB5ZAShhkgL/Bi8CAJtII4gCpHKZ8Noj4PbOvy9721z3WUxI0VFFJdpdRPS0doiCG26nstqs8j8cpGZZYf5JVhYDVlYjTizaBgZb/ODb24R+xGHnn9wPIzc/3bdtVfVe73eF/8yMfmXBnATPQNqWj34zU/sWpg5Vl1XrXNhpsozxwqcmm3wix9cYv+OgFq1xkipiGPZxLEhiCMEmpKfaDsvhl6s8GyFH7ks+yXufbbKYy97lF2fD72lyebxiK0betx0oI0lkhYxRAJwrVWquUXSG5keAoOQBiWSnLkhAhlx5KzkmWMWX3mqwpELFYKoRMVSTBYNY2XDaMkkefCqxdiIxXhNMD0WsWGyx/rJOg8d9vnwV6ZYX7OYrEK1rKiWBZVSRNH1eeyEwgss7HICKmMEQSQpWIqr9vR48lAtMT71Yhotm+WGy8LyKD/11gUuLa/w5AuT2BIQIRqIogRAfiDp9CxGKwVq1TI37uly28Eu3/+GJY5d1Hz1qQJPHSty4kyZSFj4vqIbKpSQCCHWBJ5pTcBoIm0wWmOLmBEnoEDIjVd32L7eY9NEyAfu8ik6kkrRIgiLtDp2SjQqJRsLL7Doeg4rzQILdYcLc3BxPmB2Jeb8qmHD+ia/8MFVJisTPH2kxsOH6pye/2b1wuylXT/+we9XX374WPyO1//lNE38pQD85SMvc35mm7O68siPaN38D4E/z+RYkSv3CLqe5OmzNf7lHxr+6fvqbJnwKRWqICosrEosCUU7qbpZ0uDGglJsCGKBZwm82MaPbbq6SLsd8WufHMVEIesmPfZv8RgfiXjPG3tsmQoIQ5HqbQk55ibVn1JqhBR89sEiL50uIyyL87MlZhZKFIqKEVdQKxuqBU21AJWiYKSkqFYUoxWL8RpM1CLWjXtsnGoRmwaffaRKr1Nm9yZDtaSolCSVoqZSiLDtgG88WcDvSuwpkCmYwkhSLiruvr7Hw89rOr6k04tpdS0abYv5lRKXba/wnltbPHekxPnVCkpqIEz1sk0YK/wwKcx0PItmx6FSLFEu+ly2yeOGvR4XF5ucm2tg2TEvnrH4zLdKCKUScAu5hqE0oDFaE4Waresi3vfGHhMjMXu3GNaNQxzZBEGFMLaot6wE0LFFFGcyMSki+aGi51tEsaTb01xYCDg5F+OZiF07WvzT9zXYND7G88fGeOGkoN01tP15du/Z/B+eef6J7luuuuyjp06+HOzavf+vB8B77QtYLO45ceLib37pG8/LzRs91k90mRy1qRQrbBqBszNj/J1fd7n9yhZbJpu0OoaVpTJBZFAKCrZBSYGTmoQibSjFImnLigWBlvjaIdAOoYalToVvvaQxaL7wVIgQcXKTjIZcKjDNBSKEQgiJVIootJA6MW9VXNg+aSjbmpKrKblQcgXloqRSVFRLFiMVyWgVxkciJkd9Nky2ianz639e4NFDU+wch9FSyt4lSaUYUSoGlEs9isUSrpIomWpwEjkQhjZeT9DzY9q+ouNp2j2dtMyVHS4tjPC6/T5/970L/KfPWFxouAihMSZEx4YwsglCiefbdHqKSs+iXHAoFQuU3BIFN6RSDLhmd4Bjh1y3O+IDd3SxVJQWgTRCmGFRnko6rSVCSFxbAQ6eb7FStxLfTioFo1gRa0UUJa+TAlIS5Eepgc2xNZunfdxSncv9gM2TAbcf1MRhjdmlEdoeLLU7jE30mBoTiNbj8uKZwm/OzvqPmNg7/JeBzf9pgP/f/+FTfOReUdwx9tK7to0cFVfsLPHIoRFeONZhohrR7hpqJcEuaVjulHnouSJeEFNxBVvGNLVSUkFUdpLVsLNChBZEOumHjLQh0qIf6YdGEGpFZFRqKHKJTZIZyN+sFNsoAZYQSaVSQaFoKFiGgopxbXAtKDiGoisoOpJSUVIqWAnAy4JaRTNWjRiv+UyNddgwtcKHv6L543vXsbmmmKhoqmVFpaQol6BUTOYUzq1oTs+5FJzEZgCZ00/gBRbbpzXTEx4tz6HnmZTFJY22RaVYoFKq8YE7FjkzN8/vfXEjlrQwaGIdE2lDGFn4gaIXJMaobkFS8iyKrk3RjWm2kxjDsVMHph1jyaRRQsqknC/SM7GuCECkIBc0deqy1GlcowcxzuBnUh0dBPeSSAuMFghh2DSlueGAoVzUeH6x31bY7tqMlAxvuk4wXnUJgyIPPid56KWnxY+9Z+5dd33X5tPL536/N7Htx19bgP/4W0vO3NLyz9332NLPvbhYl3deI5keH+OlU1WW6ppqKaLoGIqOoVKIWT8iiLRCyQRYljWottk6AWkcJ5owzhUkYm0G0X76OjlFP1AyRpBTJX3/ihRgSY0lwVJJZsFWAttKKqKOJSi4koIjKbqKYkFRKUoqJcNIOaZWiRir+kyMdtmyboWnTvh88sENjBZc1lU01ZJIwF2UlAuaciGiUvJ56ji8eKzErkmT6t5B2bznK67ba9i9pcfTh2t0fUPPi+n0rBTkNqVCkWKhxvtfv8qLJxZ58ug0GIXWcWKHjQxRaPp+kp5vUfIMxYKi4Ghcx8Z1YlxLY6UWY0tplNLJdZGJNRhhyF+5QXAu0usr+qX+BOi5NGxqNY510mwRp/8WQAlDveXQ9SZQyhDHAj9Qfadi0vPqcPgkHD4TcW6pzW3XBPL8xcq//PBHNjiadf8WCF4zgC8sd2Sv1/vFb33tD/9RfWXGOTc7Qi9OCjgHGePCvEWrI+l6mVFH4IdJQcGQFCGy1FUW7CQX0iSMnII7K0rolKV1qkKy4s1Qrddk+V76peqsoKNkWrFUYFuib711bYnrKAquougKSkVBpWiolmJGyhG1is/4SI8Nk3WePN7jFz+2jguXauyYSFagalFRLirKBSgXYoqFEMf2aHomsfgqg5QDLRDrxHQVRg7VYkg30nT9xLHX9WLaXUmzqCi1XQpuhW3TIf/6R5r8wsclTxxdh0GhjSaONVEcEUSaIFR4gaLnSoq+ouBIXMck024tjW0n+X5LmQTgKgG4SmWKEOYV/Ys6jWO0SRg5AXpKKjkwx33w02/SBpH6fNIVAkEUi9TQlVhvux60OjEXFyPmGj3uurnHZRurHD8/61x1sPpP3/bdP2r/9I+2/x8hKn/hcv5fGOC9bhut43/7wLce+wcXL8wVjC5SKwkOHx9lqhpyYFNEz1e4tqLTk/QChecnRqgo1ugU5MYMqmv5nKw2BqNJgW5SNslAPXymuCa5rCnAs2JOH+ACpZJ0mZW2otmWxHWSAUAFNxnJUHQN5YKmUoqplkJGKgFj1R4bJhs8eazLL3x0guMXxtg6lmRYKkVJuSQT9i4m1t5SISSMA/7ovgpSKWxpUGKQJtRGpHl7mx96c517ng1oBy5dP+sXVbQ7iqZrUXBcXLvK3s0R/+bHVvgXHxU8fngd2khinZTVwygxmvmBxi8kdlfXFRRsgesklU3HMv2KraU0UiW5cSkSoIt8+jB3QbVJyUcPwK5z5q0+4FNwxyZXWDPJF05So4IwFv02usHDHFFvxhzcAVdsq7K4Umak5DBzaa7w9BMP/cODV71ZNBrtn6/V/mJFoL8wwJ89dByjzY2HDn+rePcNdeqtKqsti12eRa1gExvNaDXCthQFV9L1JD0/+YJhmPoftEnAq/PMbNLXos/cGbiTv8uB+1U+VwbwzIORVfKUElipoSoBuMS2ZeLfcAQFN5l5UnJjysUE3NVyQK3aY7LW5KljXX7xI2McOT/BplHBeDknTQoW5ULiXykWIopugG37zKyMYiuBkjpNyw2CzDiWRJFi/WhSPGmFhdRzrel5MW1PUuwqCo6NYxewrRH2bYr4Nz+6xD//A3jy5alE78aaMDaEUZwyucZ3NYVA4jmqL8FsG2wrkWiJT8VgSVKZAiL9mcd4hnPTly25VdbkgZ0Fp/RX3j7768w6waB9LvOUezFdL3E9ttsOj79g0fUjGm1YanlI58Hiju0bbxRrMz5/1QD/5d/5HF96slm6ZvRhZ3kp4OJokzdd26DeHKXr2f3gruhICo6i4FgUnKynT+AFqu/4y0xQCahTI1D62phBSdmkAB8Cd5620yMrSWcuQSlFX5oomTRLDOQJFGxwHU2xYCi6iX4uFUOqpYBaucfEaJNnT3r8i98f5dD5STbUFJNlzUhRUClISgVFqSgoFpKHIyn1Bzx5VNDxHAqK9CFL5FjWhBBrQRhZlAuKmw60eepIlW6YyJSeH9PtKdquwnUUju2k+rnGZZs1v/ITi/yz34XHj04RakmoddosPejB9B2J6+iEvVNvip0+3MlJKlMGMk6mVV7WXNbsWhsGwB34WRisrpmk1IO/S8r+OjFtBTrpDfXjdLUyqa9c0LoEp2YiOgEsdwPefF2XsFfjNz78DeeXf+nyUmfh493yuh/+qwf4mbMX2L5tc+1f//qf/M6pueXXT4z3+K9fHmWuOc/r9s+xrmYxXlXE2sYPHJodl1bHodW1cHoW3bRhwQ8T918c0zf8rAW4zoOawetMlwzhW6SaT6bgTk1Gqg/whMVtK2EyxwbH1hSc1GDlxhRTeVEp+oxUeoxWWrxwyudf/P4oL56bYrpmMVnSjBShXBCUi4pSUVHqs3dMwY2olDweetGh0SwwOjook2efWacBWRgrpsYVd1zZ4aFndNJFE+gcyCUFW1KwLWzLwbKKSKm5bLPhl39ikX/2u4bHj08RaoswcwDGps/kbij77kLHkv1mEUsKlJVdG/qfL3sIM6kiMlcagxgJ8vFPxuiD3/sAT41ccZw4FBMveUzX13R7hrZnaPQk9Z7EiwyRiamNRKwb63H3rU3e/Tr48wcUI2Pq9TMnV//Anfrxn56fu7MxvX7zXy3A281ZThxb+me2N/d9n/tWj+W2oRva/NbntvC7X+hy3WUdrt/rccuBDlsmJesnilSKFZx6KfVEWGlvJQRh4n2I4synLHKsYIYCyVcyd3K1s4pcJk2EzBx0A92dOQYtReLPsEzSrOwkk2ILTkyxEFEqhJQLPpWSx9hIk+dO+Pzc707wwpl1TNVspkoxIyWTgjtl74Kk6CbsX3AjSm5ApH3agYtQEjtj8L4GF2mckeSLw9Cm7HiJXSAoMJqB3IvpOirdEkViWxa2lW1Aa7h8m+FXf3qB/+u3NY8fW0eoLfxYEMQpmEJBIUz6VR1b4Fg6Xb1kspqlK1pyfdKu/OxnzpiVZ/T89c+DPFttMwmZB3efvUNDz9dJ+13XsNCS1ANDudhj78YO1x/occPekBv2gjBFwkjywbd1OD8reOSp1vftvOyF0zoO//lfKYMbcwbYsPWh+z56cLw0z51Xlplb0dRbMc2eZrVb4cWjFR4/HPPxe3tsm+rwD97T4uDWiLER0LqULHEM2DVzrvWj8OzC9YOaXPovF1Rm6ZI+sMVAe8tUd1sydQzKpAnAVgmwHcv03YMFO051c0ix4DNa7TJSbvPk0Yif//AEz59Zx+SIxWQxZqRgqKTgLhaSdGIG7qIbU3AiquWAo+cMDz5XxpESWyUaM79zmU6ZLowVkba4/ZqQXTs6nL5QZLIEXpB0zHh+TNdLWdhSWJaddDfJJDNxYCv8yk8u889/V/PIkUm8sIgfS4LIUEp93K5NAnIrW710KlEkUsX9FU5JkQO46Afq/U+dpbqGmDy3yupMTpqUrHL22yiRTV3P0PIMix1JS4dcu2eVv/eeJlsmJGNlFy8YY3axSLPj0mzbrDYtZhYNK605zsw/ffC93//jWx97fub8LVdv/MsH+Okzs8wt1LadO/v0fz52duG7N0zOsX39CCcvFrgwr1iuR0x0YtaPmGTqVKfCkVNlfunjJb7rllV+5K4WHc/FC5NChUCipCSMTVogoB+JvyJTQh7Y+Sv+KuAWBqmytGACBkulrG0ZHEtj2xrX1rhORMGJKLgBpYLP2EiXervLw4fhV/5kmpdOTTCRgrtWNFSKgnJB9HPlSeZFJ+ztJAAvuj5BHOP1ChRU8pDl06EJMNK0WiyJIivR8paPH5jEj9MHuMZxkkYP25ZYSqGk3Qc4Aq7YLviVn67za38a8fixcWabVbyypBYbKlEybcBNT7sv0UyaLiQH8AGD9z+vGGbwAdOBSedT5OMk3Qd6wuKJxzzXNBEZeoGg4Uf88NsWeOeNEZunaqw0S5y8WKDVtWl2LOotxXIDLs7HnJwJEbLL3n2V7+4uPR7ffNU1/7DXmj9XrP6P7en5PwzwbvMSIl654cjLZ971hXvPsmWT5nUHl9i4bgTLGqHgOlRaMe1uTM3TTI0kud25RpV7nlRcv7vDVFX0J1IZO+kbVCm449ik+VYzYG1jhrUfwxF+/yaQD5ZMKk9M6hpMmDvpws9GTcR9cLtOCu6xDkv1Hr/8RyW++MQky51RJkckk4UU3IVEd5fSwLLoSkquSRk80d4FNwACHnjBoR46jLsM+bEROd1qEh0ehBZV1+KNV3d58nhAO3QZCXXS+xjoZDyGrRMNrVQCTGkjZFKgwcC+zZL/9PdafPXJHv/2I+u4tDxKr2ZRcwSVSFOKwA2T0cuOSgYa2VmgKUU/CM5+5mWKEGKIxftEniOetXJyIFOS+xqlwaZOnQFX7Qh467UOjpzkpZMuPc+i4yu6PUmzK6g3DXPLAUutHmMTPrccjBhRJ7h4bse74rj2R2HYO/eXyuDNVodqpbT70ccf+vtL84fYt6XGy+c152Y63Lw/ZN/WiChycG2bclHR83XaBKzZNAXIES7Nl3GVRhuBUgbQyLRdrM/cGXunLGf0IJDMW17zF1sKnQZICXurDODKYMkE2JbS6aCgGMeOceyIghPiOiGVYg/L6vLQizF/8LUqX3l0ikBXmaoKJgqJLElSgFmeXKWnSJk7z94hluXz2Ms1uoHF+lL2edYyOP2qYBgpCrbixst6RDoBeC8UeFk2JEhGrtlWluJUKRCT6mMCOMFETfB9b+hQcWf5yNd6PPzyOPNhkW5BUo0MZcskILfSOESZNC4xKchNP+uUFciETMo1+c8uxHAGKx/8Z6ttvyjXr0InfyYFjBRhy2iBo6dGENImikTS5xmQFH96Mc1ORL0dcXB3yA0HJCIe48UTFmdmn+HdWzb8/auuv/P5KGydtOzq/zzAG6sXue+b36JaHd0wP3fkth3TJ7lq1zo2TFSYWXJwrRgMjFUjXFtSKcp+O1kcJ0AsF6HiSjw/wrF0P1BSSqRLWg7cWRoqA3XfI5Fd4Cy4zGSJSQFu0qKOTuSJ0qnnOwW3SrwYrh3iOCEFO6BU8nCcLn9yr8W/+8MpTi+NYbsFpiuCMTem6hrKLpTTDvuim1Q7C2lBKPGvxOlKkMiT5VZMJ3BwlMKRph9gZl8hS7VpkzX+SoLIpmh7TNd6NLoVeqFIx60lsYJtx2maT6XpTjUozvQD18T5+N23drhu/xK/8gmPP/7GJKtRma5rU7YlVSvx4LgWOIp+M4SVFX1kZm0QuS4g8wqAZ4cZAvnwObBSJJo8O1wH2l3FoVNJYUyIRKsngbHG9zW9QCMAr1vm2Cmb2SU4dDbEdhscOHD8Nona0G7XT544dZ49u7b+zwE8jGLeftfN244cPf7hiyeP8vqrA2K9QsGGZsfBAI6VMHO5KNMRDklvZKwTFnCspMJnW4MScXaBTK4yZsxwUWFwJXOvxauDOys7JwDPM3ecgjzCsRJJ4jo+rt3j3ELE7321zOcfGefMwijVks1YAUbdmIpr0tJ7Bm6Zglv2i0KFVHu7TvLgVMs+n3vM4uT5IgUlkophBhQGKB8USxIdHkYW+7bC269r8wdfH6dTsqiGyXgGN0jjBqWxLJlkPxQ5kNu565SsClsmJD//g10Obr/E735ljDPzI6xGRbq2RVkJSinQHWmSByfNMmW+HZmrvPbZPI3mh6qdMJAquUFDes3PjPGlBBEn2ZSVZkC7KxGCdMZ5MgDVD5M+UGPg+HnBsXMR9W6yt5AXldj52Am2bj344c07X/+Wbrf135Uq3xHgqy2f0YrDl+57dtOxYy/uNL0ZXrwAnt+mVvDZvc1BYqeDZKzU9JP2S6a9kQb6gZ6VsnfGwuQArY3I6TrxKkHlgD2EMH12yUrNUpq+iShpR8sMRlHSuWNFuK6PY/m044Df/LTDR746zcxKDa2KjI0oxhzDiKMppcxd6pfvZepTSaVJmjvvg9tJqpd+GHDykksncBl10yxOVnTKQJKtSibnSQktqmWL7ZsClOvRDir0HEExnUPipPLKTiWKlWU9hPo2waticqTLT313l3fdPs9Hvtri9z47znKvTM8qULAUJUtQVAY3MgmbS9PX45bMBey5FKfADGdW1nBQnph07nVeXmbTDjx/QHSxThqdkwFN4EUy6eCPARmycdrj6qkenqfwoiZh94WdJWlt2rjz5nPGeAjx7Uc0f0eAd1tLOLIyuW7M+vS//8Zhu+tN0wqh0YqYGO9w1w0tfuCNDUaKko2jFmHoEEQOPd/BCyziSBIbmXzDV1nusvRfIkUG/oWhKuUQuLNl2axhb41KW9GUihOAWzGWinHskIIT4NgBTS/gsZckf3Jvlc8+Mo4XV3Ach3FHUHM0ZSeZs11yBuAuuBLXlbipNEkKQ2lmIgW4YyeVz7NzhoefLRGENm7ZvCLAzI5sxcqsqEGosG2LO65r88n7Oxy/VKZXSIphvm1wIrBDjR1olJJJ3loKpJCD4T4MVsPEsiopuRbraj3+r/d3uWyLzx/fW+GZoyMs9cp4ysG2LQqWoCjBVQZbJrMGrbxUWcPimYHq1Y7+6ptn9jVV52xVIF0JYg1BLOmFgm4A3djgxzETVY/Jms977mhx93Ux60aKrDQcup5D1HzJbnVv/bRZbV4Zhe2lvzCDI0blqdMnbrh4+lsjd14V0+05rDY1syuCM0s1PvGNET77cI+t69r84B1NNowHXLNbM+bauHbyYbwg6fhIJMhAhjAkRzLGfnXmzi5M/wERyfw9maYBpUgM/IkVNEapuC9HLCuk2Ql59LDgY1+vcu9zI6w2K8higUpRUbMNVUdTsg0lx1B0SFk7Ye6im9kNBAWH1KGnU3BrXDvR38ryOXEJZpqFpLCS6tvhwkmfwNM+SJH63iVBYLGuKti9ucehCxHd0E7GNITgBCQ5fBWnEiUr1IBc49PIG6HiWBLGiT/8fXf0uOv6Ot98vs3Hv1HlmaNVVtolmtKh41g4SuBIgStJejhFEqRnZrWM0ROAi1dl8TwvmTWrcR7s2iT9n0EMXghd3+C4AWXb56a9bTaM+/zAHT02T9iU3BIrzRGeP1ZldslmpQn1js/6cw+OvOMuecO+y/Z+ne8wPOg7Anx5edatt+LffujZk+UrtrUYqxRZrhc5fEohRUTVgYVOmSOnK/zjI5NMjHe5cW+ba/d0uHFfm53rBevGLHq+SxBZQ5NcjRa5Jz6vu4cvXX9ZTJfIPntnzJ12pygZo2SMk2UzZMhSO+KhZy2+9miFLz48wmKrjCgUsCs2VQtG7KSTp2iTyg4oOiI9ZWo5TXW3I3Az9s4AbkU4TkTBCTAm5IHnXM7PFZkYE9hSp3pWDBp9cygwemA1jWNFz7fZuk5wx9VdPv9EQCe06YWCgm1wooTF/TCzusaJBu8XZOTwqmgExsh+o0JSNbUouj7ve0OPN123whceafPVR0s89FKFxWaJnnDoORaWrbCEwJYCW0pskZiyFHlGN4OIIr8irwU3g5SoNhCTNDUHOtkrtBeGbBrrcuXODjfs63L1npBr98BUzaHdHaPVLXJxscDCSpET5y0OnYlYbftUqh67tp8oV4q3/fbq0uxlQO8vBPAjx4/QaHV59lDEi8dt9u/oEsaGXrtAyRVMjhhKrqbjQyeQNLwR7nmyyn3PBbhOj9v313nvG9q8/ZYeBV3AD5JZ31pLTL8xeMDor6ru+qyRgVunzcMakQK8L0UKIT0/5vgMnJtVfOq+Eb7+TJXFehnsAlbVpqQkFdtQsTRF21C0k3a5ggMFO5lJmNhMZe4U6d+bFOS6D3LHTtrTTs9qDp11wbbTZd7kSvRiKP0wuPFJJiXJpiTjnC/f7rN/U4djMyV6BUEpErihwVekqT2dsneWTcnSeAOt0s+z9xsUsoZgGy+wKRZ9fvhun3fc1OCeZzv82f0lzs0WODZTImi4RK6FZ1lIlRTjFMn7ScASSSODEEmP6UByDpbevvQkcRfGJh1JYUiMYWFE0fR49+tWeP8bO9y8DxzLxVZVVlsFzsy4eH4yn7zr2XR6FhOjPa470CQyhgPbJFIHXLp4BMv+zrtHfFuALyzMip7X+/t/9Cd/OnHDvhJLdcPx0zEdP2KyqhkrJ8tk0UkCMj/UTJQ03aqg3nNY6bl8/tEyTx9dpRfO8/43tlHSJYxs4thKU4Oyr72zVqn+xVqjubOueCl0MvpBxrhuMkk1jiPmVuC+b9mculTkoaeKzNSLnJ4tgeuiSjYFS1G2DGVLJ1kE2+BayeB41yYFcXbK9FQpwEk1dwpuO8a1E/Z2rJBCIeDsEhw9V8KWw+nBYe06nEbLmggS26siimz2b+2xe6rL4TMR3cimEgp8C5woyTCoHMClFAgph5gccik6nZNBaR9lFCvC2Ma3HarFgB96s8etB5vM1Fs88LTDmYsu9zxXYnalQNyz0dIidBRIlQbLsp9NkSKXG1pT8sw/xJkF2pgI4hCHDt9/xyr/4ke6TNVKrDaqrDRKtDoOvSBpw0t24Eg6laIYRqsWuzaV6PRsLs26LNU1k8snJu5624f+/szM7K9u3LjhVcXttwX4Y0/cCyb+vsu3XCgXdkpml1wWVx1Wmw5eoNOxaIlTLDPTZFbNWlEz5sFCwWKmPs6//QPN1ukZbru6i/RcYmUlc0tSmYIZ5gDRZ+6UtXM6W6kY240JY8OZi4JDZxT3PVXi8FmXl88WafkufuCC7aCqFq6SlBSULE0xlwd2rcynkdlmE1+4m8oSx1E4jkwfADPQ3nacVBbtROcXnBCjAxZWJb5xsSyJIw1Wql3FGg3eX8JTZuvLiDQfLrCYHAuQyqMT2nQtkWQ6woFhzFJ6qAIpRS6KzYYdIfqrZJzZAtK5MXas+uMnur7D9GjAlnUh1+zw6QU9PnS2yeFzNvc9WeTQ2QJnLriEkYVxFbFUaQUoFz0PxQFrBItJIw4dgwmRfsDrr6vz8z/aZrQ4woW5MerNEq2uQ9ezUlAnW8sEYTIYNIphsV7k0CmXeitmsa65uGyoVlfLUxvv/z7HVr/6/4nBL576EudmWur3/uyYGCl6jI+GvP3GgKXlMeaXqyys2vT8wey6bGhjNpXUCzSVrkGiaQQW5xaL/M7nK1x/2TJlxyOOFdqotOMjX/9NL5FMxiSTypEwSIw6QsC5S5I/vdelGypeeLnAqYsuyx0HP3KS2cfKRlUtHCkoKihJQ8EC19K4KjUeqYS1HVskRY88uG2Jk8oS10kKE0nWJCmZ25bGsaO0IhpSLAQs1mPue7xCs+0yOiKwpO5bBjKQrz36HUy5XkffV0yMK+66yeOeZ3pcaJbp2TKRKRbYkcEOs5x1mmOXcZIuJD/rRPbfQxsr9x5JD2UUK2JLEdmKMLYIQztJpdohZSfk1stDbrws4J23+Zy4KHnxqE0vUPzxfSXOztsgJN2eRdxTmc8Wo8ilR9Z8UdJpBzqmUvL56e9ps2VCMrdQYqVRZm65RKtj0QtSG3UK7D6+Ukwt1SNmGxGLrR533+gzXnOYLB4VF9vXq4988mvRj37fW//HAG4MbNlQ+c3rd+srHn2hyrHTEc8cDtk4GXPnVQHjI0lfXfJ0yXQMbzLsMkobGYJQI62QM0tdLOPxwiGLpidxyhFGxn3WHj4EQkKzCy++ZLHSkhQLkqeO2nz5kQJeqPBCxdy8gxYWobHRwgbLQrgWlpQ4SlCQhoIyFGTK1MokHnArzflaA+Z2sr7MPrhV2qMp+uzt2BrHyQxacZ+9HSdEqYBvPa/4/BMVlGPhSpPmlFnj6Xglg2e58ESHS8JY4Xk277i5xxcfa/HHD4zQiQqUUx1uZzo8pN80nHULCZE9SZnMk8NBXi4tGcWSyEqY3LYUkWVhRXECdBVjqaR2MFaMuHlvxE17Q4zwec8bunhhkq/+0qMuTx91KLqC5ZbixcMOra7Mkfkr5lGA1oyMhVx1MMBIgW33uLRgc2bWIUgn2SZjr3XfiRhpneAp0HQC+J7bumycNBSsKvMrNl97xL1i94HR3xSCn/ofYvBOp02pVK4+9dif7d23palsYXNu1mWlpSlZsNKUjJQ1BZd+k2k2azqrzhkDllIc3OPz1luXKLirBNrwi79Xpef3fYCvAHcy8VXS6AieOeTQaiqkUvhG4WuJEQqERTIX2AKpkFJiS4kjSQoXUuPIBAiOItmJLZ3Rl4B8MCbZtkR/mP5acCcMb/p7ALmZLLEHfhbXCjEmYGbZIfALuCMSJy17q9SVN1TFzDp6GJTXByCXxFoRhDajFcXmiQBHePQil14kKFrJEMzMQ5LYgHXarJC5/2T/vZL3kGnxR+caunXiwc9JoyiK07qBSgpkKkJFMUGYpFwtGSNVxKbJbNxEzGVbPQLTQ1qaZkvwzCGLRkeiZF9jDpcy0q/fC+BXf7+KH9soWUV74MoASyXV0KFmidxgUGNgoqrodsaZiQSrLTh9KaTuh+qKq/y97//e76m+t91sVSoj3xngS0vLKKvxqw8+dekNm2urXLPPZcNEhdVW0opWKkQUnBgpzaByluvBwwiU0hRczdRoly3TMWMTAcfmDD//WzVWlu2BkycDed98nN4cIdFZSQ0JMvWdCoWQEiElSggckRQoHJGUnZ2U4WyZ5Y1zP620k16Rbr1HH9xJW5fCScHtWPQtpgmDpyxuaZy0OmrbIa4bcnFZ84l7ymA52FIMAsy+PBGvYPB8ESQbEpqALRmsE4Q2H7irxxce6vHyQoVObFOKkk1pExegGXTiqKwmkMtPZ9czWym0zBm8slP3vTCWpbDjpDCWAV1J3S+aJT/jZGCQSEEuNZbQCKOZLGredotOhi+JNH+SjqOgX/00oAzLy4r/+JEqR2dGKY6MsmNCsGEkxLWT75Nenn6vZxakSiHww2SXahDUO4aZumbbhiWc6OU3LMxf/6uxjv7Of5fBH3nkfiwlnOcPz/PNnuIfv2+RfdvbRFGRKFYYnUybylqvMpBnuc9kLLGm4ITUKl2KRY+ZZcHvfLJMvecSuwnzJgCXw+DOQC8UWfAipOxH7Eokvgk7BXRWebNlkqu1ZdZUm3ttkZuDkrH2oKt+AHDZly2uY/otbY6jc4NzIuyUvR0rRMqA8/OCpVYBYVm4kiF5MvBwDBbttfnhIeCl+jiIbMarPlunexyb9+nFFl4MbiywY4MdpTo8oh+AD2wMashymVURk0m7WUtgbo5JrLFiTaxEssFXnILb0v0hQYNaQwbu7D314HWQ/D4oxGVJAg1peleJmFox5qe+r82v/WGRuVbEbNtNppjldqWAwcybONfzmU1biGKDbyI2re/wg3d72CzywLfud8Sr1HteyeCLF5BCsHHS55HHKvz8R2K++5YWb7qmTRhIyq5g63qDbcmhscVGS0x/B+KYUiFAG4/jswG/9dkKH//yKKFwk0k/Ikk7DSJwkaaeRH8w5GAiFdhp7tUSpg9mSwxyzdmfqZTorbRjPOkiT3zPjmKo4TgBt0x+OhnQs+AzBXfW/WPpvkSxrWSjJ8cJiQj56mNFFpaK2CMKJ5MmaYDZ199rBdmQ604MBYFxrPD8ZILtW2/p8NhLHq2oQNeyKEaaIF2hBsaoXJVRaAadQ1mgOeiMSlKHKmVviK3kPW0tEoDHBsuKE+9QrImUSgtoBpkDukxNbTIFuBB6aErWEMD7f6+RItnQ4Gfe5VN0lvjNz8Cx+VEaHZeSm8RPeUtxoFPjVWxw7Jgt0z4VNyKODN9zbYvvucWjVqzwjSd8LOsUrzZnYQjgv/zbX6Aliq8bjR+8rlZdpugWOHZmglOXRvjqkz16XsT6MZ/br+5SLQT4vuDyHRFX7YrSjEiiDVs9ePAlyUtnJN96downjlYIVAEsO9HQuQmnWbFACcgCcdUH9MCwpIQZ/Mz5JbLXWXua1e+/FLm0WjbsJ99VnwN4FnBmutvKZIlJ9fawl9yxQxw7YL6pee5UESwHK5UnWXm+z+AMs3iC7+FmjgGryn5OPAxtrt7lM17r0ayX6EaKkgI7Sr6Lik1yhnmAk4C8/0ZyTaU4ayiRaXVR9yWLpWSiv2PRHy+dsLdMm0eyaVjxwOCWZrkS8KbvLYcB3gd+6heK4mQl/NBbAi7bMc8DzzR56XSJJ44VaXStxEJtQKC5Zm/AwR0BgW+oFAy3Xe2zflTQ7Tns3Sxw7TJn5mIW2i12bhm77md/+qrX/eOf+aNHRfUDrw7wzRMSpfTbzp0UV506B5OOzdQWQxxbrCyO0PTg3Izm4SMxkY4Jw5C9mwL2bwnAaAwJ4No9yXMnXebqDmgH4SZVMSlkKjVyoGUABpV25mR/L1NQ90GfgifTnyr1SmTMnTQXZ50q6et+98oA2FnzbcLeqea26OvtLCWYMPYA3HbfnRgiCPnKIy6PHa4g3SQtacvB58+30Q2qfWurmWtHoyWBZqwVPc/mpgM93n5rm9/7SoUgdunEkkKc7JXTf6hFTqZI2ZcJg7f6dkyebO0Sq2QGTawSmRIriUpfJ03JKbCzoFbIvntTZEwuzRCDvxqbZ6wvRDKoyLIcbtwbcuMej8WGz4snm7R6SZCaPIySvVtjdm00+IFFFDlgKnhBgZZV4MxFh0gLECFbJkLKrrrq/An3bUEoH31VBj97foZyuXzXN7/5wA+uLoeUnCmu2pFE3X6gaXVj6m3DSgcank03dAjsApcW4exsztyeltwtC8pFkagRARKRsrBJfQ2Dm5+weI758qDPgXrw0+RAnm0BmPqkVfJ6iMXTbhhbDYM7GaewhrnTnk0nbW+zrazhIMqdIQEhf/ZAldi4qH71Mh9g5voaGaTv+ho8Y/F+w4dMxqHFWbBpIbB53xu7/NFXfRo6pBcX6MUCO6LP4lIaZCRyAJIg1mpRmUtNihzIBbFl0l2R08BTG1QaDyilUVom0iQ2fTbPg3qIyckGCL2KVMlWGKn7nVjdXvLQFG3D6w/qoeYNrZO9l1YbVjpk1KbVdVhtFVht2jTbSapaGzBxRD32uDSnf/D6m970YGN15p7a2MZhgI+UfBxb7dq5ob5THVhCyRJdX9HxJO2uxcKK5uJ8gBQxJTtOdjXT6diHzFdhxJDZ/RVt2Axr0uy1HGK74SW+P1tQ5IC+Btz9+R5KDLR46rgbGnaTAttSYpBJ6acDk477pDHZpMw9CDCtHHu7dsBzpyQnZwsYZaOkxJG679MYfPbBl12bRWFIgw9SrFnRJ44VYWSzc0PI/h0dnjhRJFQOvUhQkGDHBisakIaUAhmlOhyJQDP8liLH4iInjdLWMisNOlN5EiuDSuVKH9gpi0uRAT3PzoPfh8E9cIEO92YNLgXppIVs04LBWLh0X89IEkSKbs9mYdXm3JxkaTWi3dN0vGQKQc+vI0baO7fvDXa1O+E9r2Dwc5fqlIo+Dx3yeOjxDu++vcmGScVUTRCENi+cKnNp0cJ1EqaM47SpNLctXQLyV46A6I+CSL9Mf7HuX4DhrMMwwAem+7y/Oj+0JgN3xt59sPfBLYcAnh/+kwCaPrD71co+c8fJFoZZcGmFGEI+80CJlZUiwrWSvHtutXmFB6X/dDOUIsyGiOZ93P3ctFaEocXEmOS9d7R57lQVPy7QVQ7FONHiVhaXSFJwZ2uFTnPimTE3lSpr9HjSOykG905mfZQSpVO7rM5WJoOMTdqcPAB0n8kzh2fO0iyzwZ5rg7/+KiL6u3EMVVv7/bmD/ZaiNKVptObUpR6Hzmr8yDA6plk/4fOuOxts21bH91YgHpgL+wA//OwXsG1Bd6lDoz7OL340ouB2+f43tym5Ps8fF1xYrDA1kvg2BhfK5CbADkYdZ/NO4pTl4377ksn6H/rJ/2EmX5MdkHkWz3d/v5K9+7/3A8xsyE22v73EsdIBQBm47QG47X4pXqev46HTUknnzsvn4dP3VvClg5IqrV4Oz2RZW8F8VeYix+JDzJUweBRbuLHFe9/s8bGvd3npTJFQ2XSlxIl10k8pBTLOmj/SYFOKtClBpxpcp+81vG/RYJBmQkyWTMjJ0gmwYwmWHvjuB43JhoEXf5i9Za7bKt+kkh3DMwtl3yOTATjbGS8Den42jpSwedrj9mvrVEcjSm7MD7zZw1Flzs9M8dSzF3ngyc8hcxLNAmisLjAyOlX6j//tt7Y/d7qJELBjzKIb1PjMPTUkMFoyTI1AqZA0vvYN/LnGUq1NMqw+EsmsvNAQpHMxsrkn+RnepCwuyTFeeuZzyXJoWlUG9hToQ8Cm77Trg9tKX6dFnrXgzrO2rXQyM6TfIpb1dEbpGaLsgJMzFu3AAZXYA+y8/s5/D3Igf9VSfU426IG9dcDkiRYv24K9Gz1eOhkQa5eedijEiWfbSjW4EklfY5KdMmvCWXJMLgYVzqHPYdBqAHilk2sda9kHd98eoBLNH/cZnDWB5uD3wWcYdGxl4A4jSRgmc8KDSKS4yW//OOgGEunmBcu4bFs3zsEdAVJo2i2Lnm9hTMi+rXWKIxu3v+27/27pJz70k91tWycTgB89dRG3sPzmHZvH/9nsuaN0Cg5g0qmgBoNJdWsy2y6bgiT6Nyu/oWjmLtR4gUEFiUYM40zGmEELk/h2OjwDthiSJiKVJgOgJ3P2pBwAuw/wVGsPtHjaRW4Ny5IExCb3Wud6INMz9Wa4TsBqW/Nf/7zCSq+AcBPvt5Pl4eXgYcyD/Nsd/cYAnY7IGNLgMt0ixKJasvjZ723zzeeqrPgOgbToSYkjxaC9LN8Fj8j1T+q+28+gU3BrDDL3cCXMamWlcZm8VioDeqbFTQr6AXMraVJjoRmsIK/C4v3Qoz8uI2lO7wUyscaGgjBMthaPc/FBv9Ut9di3eharLYWligB9pWC0S7Mbcv0NU/9sfubIozrofaHP4N98/CU0LhV5kit2efS8Mbq+SQdkJiDPjFBKiHReRn7ZGQxcjGIScPtJeRd0X5rEYlC9hVcyXRaY9W/WkDwR/eVfyhxrS5GyeA7gWVApJVYqSfoVTcv0R5gNAdsezE5JDEfD7G2rEMcJ+NQDNkdOF0HaSClxM2tsFi/kNHj2xb6tmzDH5q+cu530VYaxRRTZXL6zy3ff2uJjXy+gLZeedHCl6Bd9lBSE2fuzhsmFBpO5oHSuF3awi4MxoBUok6wK2giUTq5dLIeBPrgfKYsLcnpcvALg+R7ObKUKo3QDra6i1ZP0vGRH5cxoZXKSNpnSJ4YILpPGfTL1DUvNHpu3HiXqdOi1g4FEmRwtEFOgImy2VNsUXUOz41BvO3Q9hR8mU2BNf70gx95iKGiKY/DDZOg9gB9kaaL8brs5UDNguwFL5wGe9R6uBXhuItMQwOUA4P1CTwZwk87J1qlHZcDaA5DnNXfC3raVTK2qNzVf+laF5aYLhTR7IkxuCX91idIft7BGNbxq2i4LvLRMtgeJk92cR6uK73pDly8+5rHScQmURS+WaXpSpNkbMQjy+iSUvVmmx7M/0v1CUKZxrYyoVPo6DTqVTMCfB3qcDjTqM3dfk+dThaL/U+S+erZyRLGg1ROsNjTtXkwY6XTC2UAZDDWg52RxnG4x3vMN9Q6s9pK9nJo9l45XpOOpBOAvHT7J1MTotnsfevbvfuuxJSwlEbR5160hB3YUWayX6Xo2YZhtLvTK7ul+dJ5++DiGni9pdJOG0iB9IsmkSArqIZbu/y6GtbcU/WVf5X7POlryskSm2lvlga0Ge9FbVg7cQ/JErznzRZ0ISyWVy7PnBCfOF9C4CJlkTzK7gBJrvkdmOcjuS35fSoZHKmQpvEEmYZBR0ToJNjEW+7YG7FzvsXKsiImdhMVj0bcu9AGWlyp9UhkEnYPVQ/f7N/sriUy1uYY4zUrFmVRREPezKOlDlTOW6ZTVRQZ8kU31GjB6cimSgL5UgDjWXFxItriJs03yGGDLpBepH0nobHCpoeMLZpuwcV2HD76pg+8rJkuXUOrg3738ylteWF44fs6aqEU4tj99cId313NPLvLQS6O0ejHzjQ7/5P2rbF4X0OoU8cNk30OdbkKUfxKzI1uSHEvjOD73HbI5s+QyWkzkwSvSgEOZEjEM6jXBZda5ktfb/YxKv+qWz4Pn2Tvd0noI3DmQp/vV2yrG7jvqUquoipPgUoV89YkKJ5eL4Azkid3P7gwHyVlc8Z1E+PCcbTGQDPndzTIbbWCxYyLgrTd1efrlEuikv7UnJU6czjKJeYU0yGY3DqxeOg34cu+Xe38t09cSZMriSmfAN30gKwU6i5NSwOsM0KlUUdIgdfLfmP6DkMRkrhUzPe5T7/k8c1+NohI41vBOzENNzFmtJd1prxdKlnuCyfEWP/ldXa7ZmUyl/dJjPs6YussZ8aebLXPO6vYAaVhtCkxsceNeB0tJzi1L5ldWuGxzg2q5R89zCGOV7qo12Ek4201YiKQI4NgxBcfji49HPHJ0Ghkkk5QkqYVbDPLXco30yPT9cIAp+q9Fn62z/59Uf6uBZBkGt8mBfC24hxk7G/GWTMRKK5cq0d7FUsATxxVf+FaZnudAycKSAlsMS5O1AWY+DfpKdL+K/l6TMsznxcPIYqRi8c7bPb7+WJenjjuYsk0vdrGHPDsix+CsAXf2M2dLMlnwmd5PlbB5LBM9rlN5khWjpEpAH2uT3hvTX1XjfK1CJt9HieRBUenbZUNRXTtmpOxxyxWrPHAk4AuPTFKyVbLzXhbD5Fg7SguJkTYE2hD4EOmQK/cEFEWJrz86mYzGll3GRxLbRalgsAqOjyVtxkZCrtuvKZd8ygWNY/fYvD7myWM+R89p3ndHE9sI4sjCthS2lTF5Nt3VoE2MNiHfeFrxq386xXK9yKZa9hAMdHgGRDUE4pxEGQoqxTCLyxx7K5HOAR+Ae8hRaOVBblKZko51S+VJf36hyvmhrRiVZk4cJyAMYr7+eImXL5TAthFS4Qj6m0vlg0sh12jw/uqW61bMJAJisAFXvopnkiJHpsWzdGEQWFy2JeLuWzq8eK6IHznE0qanFU7Mms+S6t+YNLIfBnlfAqj0s6jsYdNoJVDZxAOZBqApYDNWlzJJ5fXJKWPxoT9L/ntlNFkVM5tTKIQhjBTrxi3+nx9cxPM97nlqlJbnEmo16FAyydbirq1xrQijIyQhP/SWDkfPKY6fGeU/fqZISXmUC4aImD1XxmzuRrRaEdaffOrrOLZidrnFoTOS265e4Pp9Hg+/rPjiR0a5tOTQ7ih+7x4fdEwUhrztxi5vvs5LdkozAyv3c6dc/vi+CZbbFZqtCpNlSdGK+0PoB7lq+uPHpErNSUNNtHlgD4M7m0ibH/mbgVrmwK0yBu9PUs1e6wHYVdxnbMsavE6YO9HerhNw+LzgnsdKdHsOlG2kEEOpwWzaa95Lkw8wcyJuOM5MG0Ty44dfUfDJGbCC0KZSDbj7Fo8vPuTx4hkXLAdfS3qpFlcaVJyXKSDS35NBgMMg7wM9A7sxqURJ2Dz7TFKmckVmAE9/GoFMU4v9sdVGINPETfL/mRSbhACZy/f7oUW9VWZ8xPDvfrzLP/+BBn96f4HnTjipcSztyNeGN13n89YbfIJAorXFrk2GeltyaanHFx4r89QRl6t3RtxwmU3UfpYnHzoDJsLatWEe24ZawdBcrXDPI0X++OuGdpB4E2ygWoSZ+Sp+BGEc81+/EPNfPxdhTIzJ/AVCIYSFETZFRzJVMdQcTcmh3wdp9QGYbQq1JmgUOZbO5EoO6CoHdpU+GNkDk7kLrewBysYnrwV3Kk8GzJ2+VnrQj6iS9KBth0Qm5iuPFnn4cBEKSbOGk8kTMRxcDnls1pyvPPLsndPhWX9umlHp7zCcAt3v2dx2oMtbX9flyPkCUWRjhMITVqLFs88U51g891iJHJNnKTgyFjcGo/KMrdMJwMn111Ik0mUN0JVMAC2lSbR6+sDrdB5K0o6WmMCEkMgoGR6qpI0UyQNVLjpsnfL55z8YIEUHKZNGCWMEsbbQsUWsR9ItzG1WGwqtJRtG4cfuFvzAGyxWGqO8fMbh0HmPlr+Q3H8/jPFDgetGXL4LHNthpRHR9XQyzjaEMB2x5YWCbijpRgo/TvaMj9NLZwlwBBQsQ9HSyVbZ6cQoN2sXszJvthgqrUvFAMQ5kMu0oDQkV4ZYM+swz7RdZpPNdjD49uC2c6C2052Ak4xJjLIilApx7JAXzkk+/UAFcEDaCKH6XUQqm2i7pkg12Bkh893k5r3k5iiv7e7p7zmZnbFAq3T0Q9rOFsUWxli874097nvc45nTDiibUCu6sRgAXICITdoAYYZiAcPAMtEHdy6YMwpkxuQmAbYyEplJFD3IrMg80FPm1plcSe/LIBkh++o/ux4GJxmZEVo4tottxf2uIUEWWCqiKBmM5Ac2fpCMlwjCZJqxFyg6nmKpLjl0PiQWMDqi0FpjtboivQVJbmh6wqZWsWh1Y7q9GC9Iduzq+SbZIcuHXiiS0mpWbUozBsle8EnGwkmrhU7W6GsPfNlWv+q4RlfnwN0HthoEon3LrMp7UcyrMLgZAnlflqgcuPsjibPCTr4nMcK2I0Id8eBTRQ6dKiYjKWQSXDppM8YrRgxL8YpMyoA9h+XJK1Ks+QaIvBZPrataDbS4H9gc2Olx2w0Ji/fijMUd7BTk/Tx0nKULTcpGJvfAZSBL3jhjb5PkHfqAT7S0RiqB1CnZpCnFBNA5Rs/5hbRMyv/DVt3BDh5Z7j9zC9pW3J/rngXJWbCd7OScTLrq9hRdX+EFyd6rnR60u0lxUQpDpRRRKSa5cuulc4owFoyVFdfs6nLVvoDF1TJnZ10aLYUXJNtpdL2YVifC7hpsL8ltZ93OGcD73uyhHsjBzsLWkONvUIEcZFNyp8gxds7ENATsVHcnOjx1v/V/Zkyucww+APcAzHqQDlRR/3SskJNzgo9/vYIf2lDK5EkynFLlLLxDercvSfKa5dtkUdZq4FygOWzCymRKosXD0KLkSj54d5evPFzm+Ezy8Gmt6AmFrUHpBNySpHws4ixdOAD1YAiqSS2rA12uhrI8qa426b3JXuuUqdPeyXw2qR+I5lON/VMmTsY43QE5MgShynURZaOVDcYkKdMgVHQ8i2bbotFWdHrJrhBeoGm0Y87NRyw1I6YnNFfustg4JfEDg/rkR39j3eSI8++PnDi379SCTxh38X0bWyUzL8rFZLB9wUnWMj/USZdzan5x0hEMhXRK1GBCVDZ7JPNep6eSqflJpkWZbKh7+ruUg3J7JkH6ujrXmmatTQXm9+MZpAOtNFPSB/jQlia5VrS0kSFpaAiIZcDHvlzij+6pgeuCKqCURUkZivlRFLkza43LNp61hvwxg++V70Aa2H0H1cBBliktpKhskJDuNxsIo9k8HTCzLHn2kEMkJAiFThu2rSzYzWVvXjkT9lV+N694DnOPBazdruQVrzOTbi53nf15fgePbEePQSo0HS8XKcJYEUbJGYXJrPkM4HPLFnPLmuVGRLMd0+kl28OXKjFbNra4dm8XgU118vbprbvuvt/qtF6oldyFtxhd54lDo8zPVti50WHvVpgaDXHsBBg9Hx58Lhtcnoxs6Juk1ixNeftqf0/GNX6RYcYe9qD02VowJE0GG0wNbn7G3tmQ/fzmU9nQfUvqwe/9YDIvSWJUv7gTYlshJ2Yln/xmKU3e2yBT7T2Uc86tLimgWCNPhtyEQuRkSR4U9M1WxqyxzppkBFtSe5DoWBGrVIvHFu+/o8vnHyxx9JINMsAIiS9surFAYgZ5+b5tVQxD1gzaEBJdnsolmWnxgVzJGFvmX8ucbBmqY2RVzzSnHieYiOIsyWAIY5mQU2RSQss6orKdMfLbtEDRjRHC4+h5ie8npOZYUCsr9m5w2LWlxrbpDvc91+HM7Pxbmr6pWacu2CwvF1F6hDuuLDBWlUyPazZOeUyOeoyUfaLY5+vPGL7xYo3postIKWHuBKjpF1Kif7P7jr/U8CRz29XlZYh6lYuS31FgLbAHzkIz+JkyXSZPhqSKyoHb0v0lMMuDKytO54knsiT7GauILz9a5ujJgfYWQmL3c9+5kvh3sMgOs+cwKw6xpFkjVfRwyjDWAqWz5oAsP57sqnHZLp93vK7D6U+6BLECoYiFwhMSWwiUzuRJGnSSfcBcdiXNk5v0ievn6A1JF08G8KxoYwxGJAzcB7pOS/IybSZP72WcIz6ZBqVRPFjlVGq/tTITl0w6iAbb0iRjSGzLMFoOufPGeU4u2Xz9yVGILEaLsM7XGASNlsOZiw4m6rFpFGojIda+bR3C9S32TK3ihzGOZSgWQkarHY5f9DlySfMn9xc5dLZGWRVwrEQSuM4g1afWsPCwvl4D7HxhR+atsWvssnlw54Dd300tt4Rb/Y2nBsAeAHwA7gFzD3S3LVPmlgnQHTvkzJzitz5XxZMJuBG54DK/gohhlhn0YOYR/eq1epNbuoe34hv2TQ80eDJXMFYDLR7FNm4c8TPv6vDnD5Y4PWuBjEBEhMKmJ0Q/J555gIacSzmPhzGJDietOmYsLtPPooxJvCap919JEH1wkzY8iOTP+qQl1niLclXr/ily+5pmRDiojlrpsCOBJogElijxD99d564bmvzp/RXm60UOnS8y0zSULkXYlqTRCXhjHLN1E1hffnKKbifi5GnYtWmJg9t9vvaAS9tTPHNilMWVIiXHZqoEE2VDpZhs7zHwhidMLTLJIXLZEZFjarlGgrwitZYHuhlicZFtipQPLocM+GYwRiLNmCg5DG7VL+rkgko5zOK2FdIKNL/3xSoziy6oRJ4IKfszv/OGqn4OfC1ri2FYfwc7ysDsR67xYKjbPjcEx7yy+BNFFpsmfX7iu9v8yscdmmEyc8ZoiS+sRIvH2Qi5vDcl01Om/8CRVjWyIBNjhj6TEqn+FsmfCZH8Oy0SR+5gNTN9Rs9Sphn5CZEnvcyikeIjq230LQBZXJMkNBA2c8sjjFVtDm7u8p9+usNcvc2zJyzavuCeJwrs3xGzcTTm4D7NhnUCq2iHLHuSJw5Pcs+zmkpR0+1ILCS1EhyYJtnawyXZPs9JJkBlDQVDDJ2vSPZTfK80VvXNSP2y9qCMT57F8+1rQ77jDOgmZ8TP6fAcg6s+oHWqsfNMHqFkcloqxHJDPvsVlw9/poqv7USeCIUUMi3NJ1t7fKeyvBCZW3IwwOjbsnhOh+crmq/s+MlZaPVAoiQgtylYET/1ng4nzjt85MuJFgdFLCQ9IZMVL84zeCpRss+WvW8/iByk9lT2u04Z3aTgM8k91mZgjRU6t8VJf2XLbQ/efwByMVgqb4cYPvc6SzT4kUo2qQoUrY5FsVCk5I5SLobcfrmPFCG37zdUS4L5JRtcjR+FWJM1Dx10uWJzh9VGGUtJnPHMYpql+rJm3Szdl9sIKa+b16b18gGoGH7Ch7QqeXOSGQK4yEuVVJ5kGvwVIM92WcvALZPxY1mlMtsNQqVjyDImVyqpWq7W4c+/WaLuZ+BOUoO2YFC5zAU/UuRXoNyGqf+9ZIXJQD2cgcgcG/0tXvINEEN6PGFwFSu0TALOESfmXXd2+fyjJVbaCmQIRhJqG08kWZWBhda8Uq7kIoPBg5bqcJMYq5LsyADcUpg1zD1sLhOvdq/7ZrABqEUe7Dm5K/r6PVEFHZX01Nq2wrGcdNTHoM3QsQxLFpxfaDMyZVGJLay9GwTrStBeMJydtXHttHOnr6PzAWL2gYZBmb/RQxkQYdZoazP85XM3fyh1nAOQeAWLD1qlBrsa635gKWVOoqSyRA3lunPs3Q8sQ+xixFceKPDUoWIykllaIC2kkIP5hzn2zoxNa2XWq0mV/Pc0fJsgs1+qN2uchRJtdLobRJ7BB3Ilii0sHXHj5QFvv77LJ77qgApIxJMkEBa9/nSWQXUzM8rlQW4YNP+Y9N/INEaQaaBpjMAIk0gTKRB6cC3ISaCh+9v/OWB5mWf0Ic2+tmCWb4rJV7OztHImZZNZ7kfPx0x2SoxPlLC+daTM6kqP5dUqV+21CKJcV8hQ4SKXQjL5hlCRgtzwah3xeT09FLm/2pHPQjD4DAMGz21UukaD9xk8A7uMUSm4+wze93hH/bHASiaD309flHz8qxXm206SIhLJDEVL0N+xYch3soaxsiBODO7pf1eAZxXMgbF/rTTJVwBFbuMqiYoVsYwHLB7ZrCvH/PDbOzx6yOX0ggQnBK3QQuIh+577fFOyEANPDGkwmWFepU+fkclnlWSZlIFjUaRaXPcBbfhOxwDoIrdS5/T5GqbHgF7r2Umv1dA9SFeCKIJt63vcerDD6FgJa8cGj3UVj06ly/Zp0w8eYDD/25jBbIqkCzrtgNZ5P3heM+c2as3r7IECzGUPcmXrISY3fY3bn7sh8vnvwQD4YYkyAHV/Q1iVBZK51zJCqmSIph9rfufPqjz8XDHpbUvZW8g0NSjysisnlV6FvVnzez5N+IpU4dpqZg70rxgnYfI2Wp3+uSI2GqlTn0pkcds1AT/5vha/+Ds2fpRW47QkFjaeTu0P/c+SRbiDjErfwputLGkmpa/FZfLPdXZfMkm/5oEZemhz33Ho/valiulnXYZ3hiadupVsHhtGya4icdrVk2wDk2A0w6AxsNIVjG1STAcSa7IcUSYEu832jQ1WWvRdXGMVQ8HORvpatLoO7a5Du2vT8y3CSAx5UbLuaiVzoJQDRs5d0jRwGngS8t1B/X8/JFOGgS1fweBrwZ0DvMzy4Vk6MBvsHmG7IQ88Y/P5h0r4vg3FV7L3Ws/3q0oSciAfAvOrNx1jctcC0KwNMhNnIf3Xw0CP03K5ygWcUWRRLEW867Ye9z7c476nrVSqJB8swqInhp0oQpiEdHVGO9mnH9wvlQHdpDnxVKaajLmHZIgZjiuGgmYziHHJAs/cdZV5yZc+gml7mhdA24OGJ2h6Aj8y+LHBdg3j1SgNagSrTYvpsMhVzQKFoosVhkmvRb3r8RtftLj/mUI6LkvzPbd3uXxbjyAQFB24eb+hVqkysziaDmKRfT94PvgbmlsnB+O7+sDOBUyxTm9exhB5xlszZ0OtkSh9Bk/L2HnmTjIqA1mi8uCWUT+wbLThK48UOT7nJhM4050jhBRpYSffd5nT4PkMSl4z5uDzHeVYnsr7AWcO5GTl7bUMnjkNJVooYqmRsUJKhdQWoW+xdzrk7bd2eeqoSzMYsLhBEgg1qEDrDEg5amWYyZWBdChWRvR9iWKkeNWOpYG33fR7KLO4ggHGXylph4JM02fkKIJGD87XDVr1uOVgm6KTlOj3b4v43tf7yShvDfc8W+D+p4pYIqZgg6WU4Nyy4iOfr7JSr1GyBRGGrobP3jfKn8SaIDQU3ZgDuzwObIq57QA4KjfCS9Avrkhp+pswJTMzXrk3fTKOK5k5l0w3SoGeY7VEV+V0fX/Q47DulnKwP73qm3Vymju3Q0Ef3DLGtkI0EX/41RIf/lwFk22NkrK3QvSlSXYOMieDjVBfkQXKAq181PxqoF4rS/rMl4aCOTbPt7KZrKIpDMbo5LVM5IrWMVFsoVTMT72zy6lZmw9/PvFyZLtlGCEIhEzy1GQrq0jtgcMSBSMw0mSWcbI9wwZgH8gMkftqyc4VmbRIeijj3Di/7OjXOsTa+kbawJKuFLEWTNQi3v6GOvs2e1y5M6bgJPbZICgQhuMEvkUcS95yVcCBjS2acUgcg7XUgCCwuGZrlcJuBy8QdDxDqxNRb2s6nkx3dLBoLbrMScnFCZv1E8mWenbOwGSpzPMRDwY1pgPTs2PQY6gIpEKECiEUxLnAlSxPns6YltnytSa4zHYe6GdN1mzpLbOCzqCYozK/iR1xal7x+QfLdNpJn2WSFrSGPN9rg8t8c/Ergs3cmYH727H4UDYl709ZA2idDqY0eiBTjE6bD7RA5nLjsU5YPAhjKmWfd76hy9cfKXJqLk0zGAFaooWFj+yvNSZrgJDJtNu+RJGgMsehSYCHTH0zKdjzdYzsu2hDuiEZBBH4sUiHtQ5G+CUBa1aJNlgiG/MxmPGe9NAKiq5h3bjDltEppqoRc0sJDUSxpN1TrDZtGh1Jt5fsBo0psWuPZKTqY23f6jFS9tBel+nxGKELrLYUJy5YXJiPqHjJbbAUlIuKyVEbEMl0I5XufuBEOJbGsuN+b2M/oJPJjsRSaFw7+VAdz8bzHYSw++muVwRlOdYekiiZJBF5jW1Sx90wc2dyRaZleJVmTSwV4Yeae58s883nC1BQ/ZI8QiLTwHIwLTY3rQleqb/XBJms+S7fUaGsCcKGJcuakxzocynEhL11n8W1tIj8mDuvDLjzxi4Xv2bh6xSdQoIWxAh8BEPbVpmUydMH1PSDomxlMX1/OCnApUwSJ3lTVJZli2LwIkE7ELRCScdLcWNnqVaRTgZLyMTNegnSfoLkvRKvCkjOzNi0e1ApJrlvgI4nOTerOXkpotE2CBFQrXgUJwN8GWC9cHF349TJ81+fOXPp/23vv8MsO88yX/j3hhV3qtTV1TlLrZxlJVuWbdmSE8b2AANj7CENMMMwkXDgAIeP6DmE4QCDGYwjxjnItqxkyco5q5W7W51jdXWFHVZ8zx/vWmuvqm7LwhjbcL51aV9V1d3q3rXrXs9+3ue5w9t/8DXTjLZmmY1cDs81yHKHTkPhOALfVYSBZKQlaARWPe85Ob5nw1A914oEShdW37W8Dq0SlLLBrdt2aFxHsHGlpB+FHJ1pE8X6hHVDCeiht4Y5oe+WcjHAhy1KhlzalpSfF0CXbsqdD7v84YfbZLkzHAtKC/BFdmyitk6u9Ysn9Ny1w6V4Jcg+SUkfYlsUo7Fy4VNb28uhXtPktkXJZI7MJbKq4jlJqnHdjF953wLP73O48yFF7haTgALSKYp+8flwqlI7YJbzclmq4u38G4bTFfLh61Ef8AtsJe/Gkn3z0EsiTlvVx3dyntqpSQpKgVAarRWuY5PkQmlsYG9eErysE1mvnzF9XJCmmkao8Isjk+9lLB+fZdv+nP1dzXgIbzvP502va9y4dt3krBaHbjx86oj83dWnqrc/8LTkmT0OB4856BxWjwuaDU3oS0Jf0ggM7UZOu5HS8FNCPyH0Y3zPinM9JybwYzw3YhClvHQY7n5K04s0/UTzxdtC2k143UUDNq9IOXVlRp7bHjHPq3f16lGffytVVO1aS1L132q4mZS1baU84ZCZoFTK3mnJX1/XZNd+D0JVA7dCClFV7+oGWzQ9Md+UNVjHdb0v/2a9ymLzn/LzYf9db1sWre3r9sMFnTaXJdNQkWU5QmjSJGf9ipifefsCO19y2H28DnDba6VGMciprXxMVa2tMe0SIUQdyXL4bjscNgzfwaJUoJyUq847zqmr5nnTRX3azYzP3+bSTwT9SHLvUyG7jwYsLAT0HYeup2hkklZuyAsJfmnuj0hJM0M/VoS+ouELXFewZa1i8/o+h4732LbdZ9uuEZ760KHfhf2H9Qv7crsG7cGuAw3mux6jjmGsLRnrKDpNRTOwVbsR5DT9lEaY0ghiGkFM4EUEXkQYDGg1+sz3E758r8OtDzR4enfIYy+FLCQuSjnITOEqeOTFjM0rE378DQ5rJ7yCPlkCuTY9Wco7OaFy17+uHyjz2oFy2JoolZK5GR/9cpvrvhFi/MXgpgC3UwC7LiquZvIsAXcdw99kXb+0XTFLwF1VcDNsA4bcFEGd8LQU6GU/Xlq95UKSS9uyZFIh+4p3XDngmZ1d3v9Bh9hLWTTjQ5BKST9fzAsvj59G1ABfgtqI6rQoZHEDFi9E3d7a0ZIzN6f82DUpW1YpHN1Aq4xf+dd2ghWnGU+91OOZPZKvPxBy64Mtjs01iH2fQa6Iizm/lbkZsiwnSQyDOGcQ5USxIjOSLOsw0QkZdRPOWBtzvJeQmQFC5OjQtz8yvyNZMaroR5L5rsLVklYD2g1DI7BezKGfEfgpoR8Xj4jA79Nu9ugOIm58SPOhG0Z58JkWB6ebJLgEvmIstG1u6Nq3n9DRdByHnXtctFE0wwzPtVwCKQtGRlU985MeKOsPWeOWLAJ31ZqkKJkgdcZtD3l8+GsNBpljmz1Rgruo3rXWZNFy52QHzHLGXVtMLK3U4iSfLf0Tw6nF0qpeADsXQ3+S3I7nbItirO4xN+TCkEk5PHQKa6+QCesp8r5ru9z3hMfXHxNF6zFsVQwOqZQM8vrzLJ5TVbHrc5Jic2jsDL1Ql1Urd0eB6woavmLD8gYL8w479sV4btnOJjZI10k4f3PEBackXH3uAg9f2eUjN4bc9XSb+bkWccMjyiVRbkiynDiFQZITRoZ+lNMf5AwiRbevOHjUZaEv6EWG8VFbkLPcoHcesjHQSSLpdgUtz7B+SjIxYug0MpphSuDbntp3U3wvIfBiQn9AGPQQqs9X7lN8/o5R7nm8w57ZJko5hKFkwoVQW4mXrw2+awhdaPiC0ZaNjesNrKStJL2XWCjHcYvakYpzUgO1zKrfWzQSlItHg1pndCPB7/5tm537XYxTVm9VAFxWzgD1EKyqPSmg8E0XPUsXPiU2vgnc69W8Eh7XN4jlkoRyEUTtcFkLlCoqeMU4lCXAi4OnUGSxYsOKlF//iVnu+yWHhYEEkVQV3H5nmlRIBtVNVz5lUz23soWqz7qEsNyZ0rnKisJtFmnoC6JEs+ewlZu1Cix5born2Md8L8B3Y0abMddeEnHRGT3uerzHF++c5/r7R5iJm3RdlwVP0YlzGrGVR/r9nMA1NHoZrb5ivKNZvzInDBI75lUCTI7+11d7KKXp9wY88+ICx2bHWTWZsXJiQKcZEQZRke5r7cxcJyHwBwySiHufgb/+Soe7nhxhptfECJeRhqChLbCtdYSxefGOTYYIPGj4ikaocBx7BB+mJJe99+KIDFVQYPWiCp5VQF9cwbPq92xPbo3rk9zwF59r8thzHqYC9bCC1ycnZTTIKyFRLR4N1kB80oJtFv2GOcnvDlmF9d7bVHO5E1ywZNGmFIy8PBdFm2L78Vzk5FJh8pxzT034+Xct8KefksRZcRcbWd1BRmrS3IK8BHVeclXKKUptIWRbdOtJmNd+fiW/xABxapjvSqRwSDNBlCh8TxcAt7GMkevQjzw816Ppx7zt0gFXnbfADz/V5QNfWZZcOgAAWMVJREFUbfHI8yMcm2tw3NOEWuJL++braUPTg9EwJU4MruNwYM4nVRN0Wm3SLEVPbXgnjUaDp57axrHZGzj31JjJsXka4QLNRhfHSZHYI60QOciMe56WfPBrLe54dIRj3QbScWn6gpZjCHWOX0byFdYRviNsTJ8r8D1J6CsCX+O6hVSpHMFJlgB7WKV1re9e3IMvmZpUVT1Flj14kPP1Bzw+9Lkmc/0amUoOczt10XvrWvWuqnj1Q+OkB8zhaNAgTuhRxDdtTurjwMUjQntqW0S2yk1hxlMwDqVAGlkTSBQcFVkmGksyIRFCITKNwNDyE37ynV0e2eZyy/0SQgEmXZR0YqQmyWX1jpHLegUXRU9efF8FXbb0IcyNqb27GGtxHBu6AwqFvSZNc6JE4jvStqWOxost0D3Xjo99z8P3Iq65eMAVZ89y+2MLfPhrTR59oYGWdkwdpxCl0E0lC5nDXKyZ7cHmVYa3v/VCNm85g36vi26FLq7rs3q5ZOOaBfpZwufvznjwhRClbbD9IEqIkz4iTxBSsn+6waHjTRzPodMUNLUhdKzZj1d5oRhcXcT0uQJfC1xP4ruSwFMEnsR3iji8pQqdUpkjh96BujYGXNR3lxnqS8BdHjClk/HcS5r/9Zkm2485Reb9cCVPwUMuQ2frFmx1znfdIarc3sHSii6Gh83yLfykPck3qd6LHqV0rbbhrDEL8yVVvAS5MSURSyLLdkUqG/qa5mwcTfm5f7XArkOaF/cLjB6Ce/hRk+WSgbAcmYpGYeyN5VT71sKXMrOEqXpG02Jz+iGtI8ssWS9xBXGa4zqS2FG4jiJKNK7jECUp/cjFc3x8L+Ktl/a59PR5Dh6btRmeuabXb9Ab+BgEjpPx8AsODz3bYPsBODwDW4QmyRS6F+cYbZieT7jtkYRte0bxpcLXoDI7jjo6B9v2hRiTIpSL5zqMNKHtWGB72uAXkSBDFysxBHiZBe/ah+8pfLfMhC8i/EojzIryauVkpXeJllb5fnJwlwDPqo9KZrhuysF5we9+sMWXvtHA6HIdr4a9NxIlqMx8qg3bCS1K3ed6CPRF3YhY3KqctHKLkwN7EfOqVtXra/zciMJxatijy3JWLmybYpdm9tCZ5zZ8t+rJswylJe+4ss/cQPLLfzLC4eMCPLEE5AakJkcSFe1PjiFD4Nafee11kLl1flWZsazT1NI3osS2ToghKzXJbI5TnEpcnRM5Oa6jqt3KINZ42sF1EwaxyyDyCP2IMzZEODrG5Iqnd4wR9TvkRiBSw6WnpFx5xoAHno0ZG83wPUMa5uj5voPjeYf2HwluXrN83dUXbJ6jO9B0B5Y/3AgMjcYcn7hzjvueHafVcBjROU3XEDhlxTZDB6sawEuQOwXAS5AHniWm+67Bc+vxIWUQVPl5mbKQ1ar3EOQlsKUo25W0aFms/VqE4av3BNz6YIARymosiwMlhX9I1XsXZKrFnO+aer7GT19auWHxeFCcBMiLQF2bcS/tvxdNVZb04aZc25ereykWVXRZVHFh8mEvLhRC2NYlyzWkBqVz3nDhgLdc2ufvblTEWe355lDlzAiFEYpYSDIEiSliI8uzQIlzsZj6KtNhi1dFixuDMaoQaFjetpsVRTCRRbK0JNIW7JHOcGOF62ZErkOUOAxih06zy0PPZ3z6poCG4xIG9gbqDQyzXY+zT/FZN6luHut4h1zVQ19w9mY+/IlP7RLK//N169pXm95uRjvjSOHieymrJ3s0G0e441mF/4Ji0stpe/YE6ztF3qQWlZNVlQWvhrHZbgVwawhUgtt3czw3XxydXWZTOukJtmr20FgAXAwBLkStHxcZUqWkIufLdwS8/2/b7Jt27D5Y1NoTIRdNThZxTqhtLJf024umJCWgT7LlWYTvpb//Mld9ZV/15vXWpQQ8Q/N6WTt85rmwVVuYoifOEYUSSKCQIieNc1aPpfzyT8wz15dcd1dIkolS4UBFKBE5pSYtM1Y4kRpReHWDX9i9lbdltUKqxZeUqcumsGzLc1NEBwqSDBItiLXBSUQR5SgL0yaF6+R4cUbkauLE+hOGXsqewxG3PJHRcVPWjBsC1/44U9ElaC8jiub+/MEHrt/1qiveazN6okGO46YcOOzQO97kgtMNW9YcpxkscGCmz198VXPbYxOs6MBYmNP0DL4r8BwLbq2Hhprl57rMhFc2MtvTVubouwbPMXheju/mBciz4kSdVSfrMjZ7CPJ0eKCUOUJkxQtZErqKX5MZ2snZe1TzoS80eH6HC43FE5Oyig97b1OjwpYijZrucgnIZQ3UVV9+sg7klYD6ZNW8xj1Z7B9eV7nXWpQaR1wUIBdlyyIlwqgC6IbMSESuSOOcUzcmvO8HF3hom8OuI6IglZSPHGsuXhQGqTBCkxpJL1ckygI9qJ5r+c3YVq48lFLmdZqhptPmqBYJxrqOoTJmxhS4sdXcczKi2DpdCWF47dkZh3/gMJ/6xhgP72rQdhWnrpZsXesx0XKtxXJWZPQAXHnpabhOg32rIr526zaOdY9zzzMRe6Yltz3SZtfhJqOOw/JWRiuAwCvs2XQZsFq3KRvG9+nSn7DKo8QamRetiefYBY/vFiMjN8Wt8VmGGTlDspQUWZF3XhKxcmyyrwW50oaZBcWffaLJHY/74JeVW5VjmmJdbXtvRyxhCy552J3I4vV8vSVZShD7dq7F7Uj5a4sBzRKQs0hxb6s2hZOrbVfKaUpu1e9CIskxwo4OZa7I+4Yrz434hR9b4Hc+2OJ4T9utjTAW3KJG0DLF7Fwoy0Y0mlQqYgkpdYs2qsNxCfjyhsxMXlRwQ6rtQ2tBoguHq5p3pa5AbvAc6yAbFTZuEyOKd10+x8WnHuHmR+bYN+0iU4HjSubSNbTHz6Xb6w0Bvm7NFH5j+S133XPDH6ZJ8MtffSDj8Z0t8sTBFZrVTRgNc5qBHd77rrItR5EePMzJKYOgaiac2lQAt082txXcyWzldjM7E3UzXCepqrfrWAu1UhSsZYaQKVKWzqP2ByGGcAAJfSH4wBcafPCzDRYyZRUL1Ofe9mBZVu/F8ds1M02GAK6v508K5CWnzPrvnwz01S/VK/eSVmTRDVCCvPb5otakaldkzfYYhoxDgyhm4tLkxa9JRCppOhk//a4uh49J/p+PN+mXMQ6megVq37gcvoZSk0mXvtSkRpGqQj5GLbrdUN2Qw7BgGzyVZYY0MzipINFmaOlXbpGrlDxRtLaS3kDRjxT9gabTcpnq9HnfGwbEeY/HXvA5fGwCkR79w81bttzy4o6DQ4AHzSm+8Jlf7o235UvLl2ue2ROypumgBIQuhB6EvsT3ygmIrAw169yD8i28bmVcGmDaCm5Thct2xC/A7Rbg9twEVyc4TlKAPcbVCUmW0o/LyrL4nd/zDIFnfyC5gqefc/nkzT7zSWEkSHmoXPyoAC4WK3UWqUuWtics+Viu6+vgrwG7DuQTUHvSSl5bi9emJYsqelUhRTV3luXHYuIhxFKw1+m19ZZFItKclp/zI1f3ufk+lyeed8mKFbzvgh/UnkTxjRmhGUQO8SAm1y6x9shyTWwkaQlkU/bdQ8vkMkvVGm0KnMyQKoFOS87/EkuJomg6xTnOd6E3sNmacz2H6Vmf0LNtqTAJR+YlLx099NIjv/brvT/9vd8dAhzg3PPfhe/7dOP7OGf6UfYckcQDQ+DZiu27Es+T+K7AdwWuQ+EnN5QWlT9EIUqH1KHLa5kFbyt1AXDHrm3Lyl0yEn0vQqiYA8cydu5VfOOxBl+6O2CQSDtyKg5BxuRc86oB731zn40bMnbuUPzcH7R56kUX45StSInEcnKiENXG8kSQL+J9A6VKfDghWXKH1Q6Q36xFqU9fFolwT4pyc9IJS0XGKluUgr9d78/LSYoxhT2xKA+ctk2xcYFF0nH5OQITG87aEvOXvzrHz/1em527NRs2pLzvzX2ueVVk+S9Fto6UgigRXHe3z22P+ezc47PvaECiAnqZR+ooEiNomuFMPC8WVXY+bseJpZDYuqOV5x6x6PstzztalZM4Zc2nPFtsA1cT+jn9OOH5XZJzzj2Lc867jDgacALAhV6OdEKSPOTQTMxsVzPVcRhtKXxPFpbIxfSjmHooVYA7F0Wksu3/BHZholU91SzDLfvu4iBpQZ3gFdU69AcoHXN8IeHOJzR/e32L+59sMD9wMUoNJbEmLzZwCS/sdLj+Do/3vK3PzLzk6W0OmSoLoThJ9bZV2alW8ksWOyyu0Ivm4RXIT+SaiFd0ony56l2r1LUjWzU5qf9+AWZhTDEaBLmoZ1/SnhTCCFksgISU9kZg6IqgcsFZZyS8560Djs8L3vPWPptWJJAITK7JcoUp1/rCcPqPDfj37+7xwJOaD13f5I4nmhyZbxLlPplxSIwkze0UJy+mLpkxBdCt8MHVFL7ihWknplADmVrw8NCEyra11lnNKwrueFsyOZ6yfLzH5Jhm/coJBoNe9bpWANfaJQz87f2kuaMfj288ZUXGymUK3wclrYLCcwy+Z1sL381wtc1RSVLFQs+hFynSVBR3epEk7BTZ705eMMiKtWwBbreo2M1wQD+K+cJtmi/c2eGmh1r0IptJKcJCaVP9EDPIYqsENxEHDmrm5iQXnRlz81qPp/dZ7eGwdJbgtm/fw6pd59QtMTAS1LUBJ7Qp/0g8LwL1IjR/kz+0VN1TrvSr6l1OTqoqLmoHzmFVFyIvwC2rPtsUd+3O3ZqHnnK44KyElVMZIoU4dkgymwWU5Tbf3r4+OY5OeP0FCZefPcvND3f5/B1drruzw/xCg/nAJ3EUsbHc7iyvtSjl15nA0cOEDrBVvR9ZBX2U2n/LKzlNbo5f+M1rbduXo8cUM3M+p27wWLW8sQMVblc6q16+CuCrV63ghpuuu3nNSvcT17565NdDsYvRTkaWKXp9H6UMvpfSCmNGmxGOE5GbFETOIPIwjBIlQRX4qYuYbNuOLAF3AWzPiWmGA3yvz4PPG66/L+DPPj3KXC8E30c2HHuSlgJd9N95DlGuiYXExBnNIOZ9b+7y3943z+REzsys5L/+aYeoDpKKHioRnNh3l4m9aqlTVTHbrd8EJ+tOhosdU9wVtT/wSoB+AtK/yTKonKJQzr9rPXahACoXPELY6l6ftlRLovrXxUIyzuAvPxnyqRsCbn3Iw1E577umjys0UewRJx5pqmwPX/LlVcogSvHdmLdfGvG6c4+zeUXETfe2uP+5Dn0nJPUdklzSynNbxfMyzNWQa1uxHSPIlf15ZDnMR4Z9cxn92M7gTa7xlGK0kdPxDYGbo6RgPoYkTwj3GIS3is1nBp/Y9uQtN192+TtOBDjAeae4eF74tcfi/tue39U955HtkjXjIWuncsbafSZHuyjV5eDxhKeeUzz4rI/BpeE4rOpoJjrKAlvmuDrDLebbnmtHgJ620jbPtaqfZqPPzHzMjQ8r3v+xER59qU1iQlTLxVMSXwkCleMV/t9S2MNLL5McG2h6PcXbXtvl1943z1QnI4/hLa8e8PEbQu5/QmP8EmVDx08l6mJic9IR4dJZ98logxWol/za0tbl267o1ddDg6Qq79JQMfzK6i1FQYSqbzWrQ6dd/AiZV6DHDCs3juGRJz2uvyMkdzSHjgt+/29HGG8YfuQqQRz7LPQD4kQXFbwQeRc7ijhxGcQegT/gv/9IxDWXTfP+j0bc+1SHg3Mt5gKfOFfEuaGVG9Lc4FUTFvu9eEKgNQSe5OypnKsnewR+D0TKg89qtu0KOXAs5PCcy1TbMNE0bFglWbG8x4EjGYfn0sef3TP5tXp7cgLAl6+/hp/9L790j4CHZ+dGzpHGYTRQjLXmmBo/xp7pHp+63efhF8Y5dCxgYd6l5UlWjAjO3eTiasVoK0UWrYnnZHg1zabvxLhuTOgNCIM+u49k/I9PNLn+vg77j7XIHB/P1TS0oKFyAp1XQlRd+IELqLgMk6sH/Njr+0x1HAZ9jZQZK8cyfuYHumzb7jGfUGiohvCr20BUbMGTGmoavhm+vwPdybd3AyxpUer+4nmx5JEF4Msqbqcmiw+gdf8ZJWChJ/jAl0L2TzugrS/jwZmQj98iOHfLAg3tMT3bJE3tGaYkvjm63Dpr0sw+As/hnPUD/vQ/zvO1+wb8wSdiXjrcpu+GpMYhMYKWGXqkUFAgtAThCFqhZMOUy3mnGKbGJY2wx5vOizh4fJpHX5zhk9/osOdwG4TmNE+yZSLgnPUpo6NzD8On7rn2R//omwMc4KqLTwMh6M68wHjzOGtXdNl7dJ5P3Q03PbKcQ0cbBFIxGsL6FTDSgIkRxUhLFodLcJQFt++lBIVe03dtrx0EfYQa8NGbHP76ulG27WzTzRrowKXjCBrK0CiZiWrITHSKg4ZW9rS9YgJef4nknE0tpmetqMFxInwZ8aqzYhqNjPljJbZtOS5NMxVLRoNLD5NLqviQFrtkFvgKRn/fWYQvXdkXG3UYul8JgagBvqruUlQTlJKJWHZUC7OSB5/0SaQD2uYRSdfh7meb/Mln+lxzno/ER5TnqupMleHqjCTVRaaO/egnmon2gB+9esA5Ww7zgev6/P1NY0RZg1nPI81lZb1mZwF2IJEXz2lmTvL0ziZHj3uMtFuMdyLWT/bZsrLLa86e4eZHFrj9iRFufrzFs3skZ20e45ILNlUazpcF+FuvfS1C6Pjo7p383VcP8sWHPB57oc30cR9fajaOwkhoaPo2nKoVKjotTachCPzhAdRzs0r943sDAi+iGfZ4bm/K//xck5sebNs70Q/wfUVTQcuxkjavyNgsSVyetmNJzxX4ruWTr1ym2DI1wuy8Ikn7hN4AISBVGVOjMW+/YsBffzEoSq7toi2xyiyu4PJkrcqJ9s4Vrl9mJFj3W3wlN4D4Fl/XcF3RxKtfq5IgSomkQRSgtpv2OieltJcYErQqwqs0XHe3z8FjJYU4QGmPURdGXcnuXU3ud1xWTmgagSEoKBZ2Iy1JHOtxk2bW4i/LZJE+Yav5BVv6/OZ757n0jIg//uwoz+3usOCHltti5yZ2FCgNbmLoxzlz3RSlHJLMYaGvOD7v0Ap92s0Go60+P/yaPq877ziPvDDP9j2wd+FSzjz/mjhJ0m8N8LA1CqLzS/tmTz/tniePX7l9T0InVJyyDJoehL6wfG5fEgaKRiBph9Bu5rTDzKrtA6vZbPgDQn9A4PfJ8j6fuV3x4a+OcvujIyReA91wCR1BW5uaAsgC29NlSluR3uba0VDoK9pNTacFUaKZXfCtuFTmhR2bphUkXHxawl9/oZqPQDE9GXJPCjHzt+jB68udl6usi78QJ/z2UAJ2ksPqK+156q2JWFLFc1H4BMqCulByUmSh2yzBXmtTilnzA087zPdt5qNQmoYSjDg5Y6EVr8zOW71snEriRBB7At8TJJnAyyRpltnlTWpNndLCDNQGvCrGWgPec+2A9SsO86Gv9bn+vjHmoiZp7pEbCSIfWvKJHCFS8twQx5puT9IIJKGvaQQuh32fRtAm9BMu39rnjLUeM2bT7adsXvFLh4/2TnjJTgC4kCPc/PUb5qH9/LrJxhVrRxdUbiRxAp4jCXxpB+2uwPcg9A1NP6cZZjTDhGYY0wzsTLvV7BF6PbppxJ9/xudPPzVG1zQxYYCvNS0NTW1pt34ha/MKzopbALx8+J4VSoSBVfn7jn07yjJZJAAXEq1c2l60HGYUZVjUAK6qF7NuGbZYYHyCrnIJKo2BMrh3SHX9FiX4ZW6TpaPHE945qr+qZu9Qs1jOi3+n9BsUuSTDvv1nmUSKvJK3VVW8GBPmpaCiSLPwyjjGwgQoTnK6/QxR/P82QqWw4Ksesmg9Cs/JrAB7Zo1B/VRzxRl9XnXmcf70Uwl//umUY4M2RzPfgrzYJAnsAi/LIE4MvYFkrquGP39f4buGKPXJ0oAVy/1s01b/+Yfvv2H+4kuu/dYAr17IrPvzb32Nd9Hs8UPnPvlCwCAOGG1JGoFlBNqVu6W7Bl5G6JdWEhGtsE8r7NFL+9z+RM5X7m3zkRvG6YkG2nNp6EIFpIaccitxs2YubgHq8qPdoioCz3phhL79d3Uh57bcB1n90NIMZhfKxnkoKLaSNDMEes3QZ/GB88QKflJsmnrbUG4Ya1W2BH71/xfkowrFJ2lTRM2UftEiqX63FC2KGHq12xFT+eeGt4YoD5tl+GquCkP9cqsJnUaOVpAhh2vy4q+wIaw5/SizWUyoGvdlsYlqabdtOd9p0a4MW5Yk1fhexH9614CJ1mG+ck+Ph58f5Wi3RZIpUmNI85wkM0RpTi/Ki/Y0xXGszM2aT2mitM9TOwesmJ54sj3Z/fnJ8cZJcXxSgF/9+mt47IGPZklzrbnx3t3ITLB2uWDtVEzDz2y/J4ZRIZ6bEXgxgRfTavRpBF12H474qy8EfP6eDgePtZGBR0NrGtrQLNoRr2xFtHUvKum3Q4DLou9W+J4i8AW+Z/Bce9BRRUBqvdpJYTgyI/jcN4LCAtYC3BGWEl6FVS36ODR9PKnn91JcD6d1Syr0YofcV3oNN6Rm2OdXrYxZ/OfqzyMXVRpDnpsK5HV5TmmBl+UGmRuywgGr5KXkmeTdr435/O0Ze2cX21fYoFbryR3F1lBJFmPHYdSKHCZS5IujD/OioqeZso9UkWQOgevwk2/t8/YrZvj8PT3+8nPjbD80QpR7DDJJlBr6sV3u2LQOAcKQ5TkNT7Bmec7aKbji3AxvZK3ZdTDO3vqWd79ygAOMTL2Bfn/wqUa4/5TT1+xpbFo5z+4jKZlMOWV1Rpp6DOJCje6kBG7ESLtHavp88Q7JR24a5d5to0SEBC1dKO3zKiW4PiEp1UCuU0rcBHWJm+cWHIRCLOG5w2wW63iVFyxD+xjksP1AGQGoUELgSoMjTWGqWe/DqQWQnsRQszxU1lBbn2KYpdV6UZ3lZX6BE8G8ZME0vMkKh97ajVzeZHluI2dE+TwKIx6FRIicrACkKAAuc1lk/JQtnWbDigRfWcKJMbk10zEU0jML8DixcehKZsVrIqtZur1ZFgfYZrkgz8pWJbVOwo4iyTRJ4jBIXDrhgPe9ccDpaw7x4Rt7fOXOcQ7MNOk2FS0HAm17814iSPKELasjhG+47zmfQ7OSd161uvumay/9lOP6/PufPDmOvynA169dab50/Zf/7KLzN/x8f+axxtceVtz9uIPjOLz63Ii3XtJn2ahDmklbvRs9tu3I+NgtIV+6fZw9R1o0WpoJ147+/EXx1wZXUWXZu6V+0ymZYwKvkripguBFwSM3eDrHdWoazppvihE59z/l0B0U+ssiodirAVvLoYOprRDD0NmTTk6qAm2q5Ug1nqsWLovBPyRFnQhusaT1WDpfr0DN0nGlqbU6NaZhbv9vWcb8lYS02j9tJXcGKSSZVPah7ASk4cdcfOaAl+5IyYwhMaLYNtpHnNk0Yp2YopCUr1HhFlOM9ywdoMyuLx+5ZQ46iiTLcBJFrDVO4hBFLoHn8+oze2xascBFGwd85JYRntw+Stf38FxFlhmmRrr8wCVzXHk2uI7hjicintzh0J64ePq55x/7syuufPc3fdP8pgAHeN2r1zI3N8f/+pspbn8oZ7Th4CvBnoOSJDtYtStR0ufzdyg+8OUJ7n16HNfzmBoXNJ2cQBvc4sCia3nz9RQ3t67hdIYSN89VBbGGmkjCEr2cQt5WxXFLm9iQy5R7nmiwMOdCw0EJ66PhFRV8mG0/tOpdDPDFQ+5FESuiTBkrRnSljfBSnkg1STG1Q+E3B3kd6UN9I5U/+tJQriF8qWbHYBXwoogVGfobWkKvEAaRGqRQhSWHIsttX9xsSS47e8B130hYyLJi6yhICmV8khgSJYgKd19La81BVE2VpSuXr5eRlSlReQhNs9wKG6S2P684x9EOg8ijN/BohgN+6m1dzt5ylL/9Sp8vPzzKXNSGXOHqlLUTLoP5EYwnuPqciGUjAeHYVlTYeTkIvzzAm83RaO+h7s+m6tTPvO6cFxqnb0xxvAG7Dw9Y6IYkaYrrzfP+j3p86pZJDkUdxhqaUT+n6Vq1fbmFLLnWFZldUsiTRA3gsgC4FVRU4HZM9XBL/abOK0MimzVv/e6e3SW47fGA3LUtiiNFAe7Cb7ruPa1ska+CSGtltNQ7lmOSErxCUGjFRE3hVYJ+8WRj8SnzZCg/sR1avGgqPWKG3o22ralRZSlzlIZ/qZSFh4qUBXfFUDh9Y7Pjc9LMxhBmmSaLNa89J2bT+gFP7I5Jcod+JghSQ6wsb1un9fNKvvh5Fy6c9T3A8FBrn5/OJCot0zhUwTbNC76SY9XzscPZG3v87r9f4Oyvx/zG3zgkukngOzy/L+O2/Tmucjh1TYNrXru66/niZ2M5FfEy18sC/PmdKm82z3jwB65tzN301acax/tzPPy4R687yaqxlM2rDvPcPsnn7h3nUH+U5S3JeGA1m4Fj8Jwi9bgsObUZsy4UGyWwS1K7oyWuK/G01XyeCO7yYwHu4uEUAD84rdi9LwTtoaTCV0X1ViXIwa2t/7WyN1yZ4FCWxywHirfo3AzbAVGOB/NCWLukipetyVJyYKVRZGn7Yxa1JPU0izJ/sp5LJGp/W0YxtsuGjrP2RhnmhxpyTGl+XP3dCpXmZMpON+LYZd2qLlMTA57cEZNlHv3MJcoEbmZwUiqVlqqq+OJWziArIYYx5U1XeqWYQjsghswJ7DuUVgZXZwS+QxRr4sRhbETy9kvm+fRt8zy3t8HaVsAlWxy6a7s89ILC9RWbt145t2r1xgd7vbkT15evFODrV0/gOu7Rp55J3z06de43dr50p2PiDmeud5joLCCI+NydDY7NjLKyLVgWZnQCY5dBhepHyeFpPC89n4vszbq9hKNlZS/haYHrglv23PWxZLEerngQ2kZwOzpmkKV86IYxIuOCcnCkJKiM1ct1f6k0KmOiqUWP2+87NyAyU8VtlIY2JUgUFuQiH8ZYl0uU0lpk0TbzJFTYk869y5akBLZYYoZUi4OxdNMyTcGm3uVFzy+L/09XbMMMUU1UJDJT1lcm1aQyI1UOgePwb9/U5a5HmnQzj0Hm0MsEXmpfI1vB7URDFN7tgsISouq35KJ5vwW83aJmuX1nscXDKnpKM33PyQkiTRTbaYsxgvF2zrte3eWPPxkzPevx1As+m9f4rBmb5qrLzkkCL3o3avSoH4YvB+GXB7jnetz76AusXLlqX5LM7Zg78vypp6zKWbmsx2jnKB++RfL3ty1nJNQsb+SMNgytUNIMrJ+451pvlSTL6Q8yBpG1MlBSVGJl26LICuAVuIvqXabZujVrifLhFOD2nBitY2580OX2J5pkykdJRaCGI8gS3E4xvbHWFhSKEgv2skXJDcSJ5SZnuY3hyPLhu8+wHRhmsRtT9OSSE6crnLxNWXqIrHIo66lyanFys5IlwCXGKPJcECeSKB62KVYXa0eDuVN/+6HqwROpkGmOUgqdabLU4dVnD3jDxQt89X6fNHXpKhc/EzipsULgKghMLFJAWfV9eQCWtSmTqHpyYyzv2+SCXiTp9e2ERkoKOz/JILZK+9zYv/eHrpzl4LHD3Hj/Mh7f4XFgWnL2qWNsOWXrjrGpVfvyZBvKPfPbBziAUpJ1zRt3bbmg/dPLvPV3PPnEExzrDfjgJxzu3jaGi8eypgX3aFPSbipaDU0zUISBnW33I8GOfTlpllcbQ1s9h+AufVNcpwbuYkZ+Qu/tFJW7ECiHfszTuwy/9oFRjswE4Lu4ShIWVFu3nNqUDy3s1w6FxYV9LqUu0GBdmbr9nPm+KJQpRWtVcN3LSwpj7YyXihFOXrhPBHl1uBxOSpaG3VrzoxytbcCXkPYA6WiHQazp9iWDyD5vWZsOOdq2KBhVbHOHLUoZJpCmmkRlRInLRCfld//dHDsP+Tyx0yPSml4qcKW0MYy1UWq1f5A5QpRz9+LAWw7ni7uqfHdSCrQ2MMg4MG0YDKwPSuhLWg1LA8gyUY1DR9uC//ADfc4/ZZov3TECKFTzPL52r/npY9c/tOuXfub0bwXfbw3wi8/eRJ7OI1TzQHv8rjt72fZX3/sgHDoUsnlc0O3ntH3DSFMy2taMtB1GmpJOM6fTzFg+HrHnSJ8bHnTpuIpmaJUYVi097LndglA1nI3XQO3kdjSoC2Mgp4xLscIJrSM+f6fProMhOD5aKRqq5pNYq971ym1dt4bvIloPLS8gx3X77FvI2HfMo+HbUaenaprIkr+yxIByOCpkMUOqVrrrHJfqUVEGhuajWuWVMsq2ZFlxU6fsnxbsOTzBkRkHDKjie3OL8attCcs1uKSyfy4IZonKUVJXZqaDOGXN8oR3vnqeJ15s2CouXbwUnEpcXr67iOHEp1oqDdvhsienmExpZf98M0iZGp/lzqcU+w6FTI0YWqGiX7QoWa4tJVdZ94SFXptVHcNVZw/YP9Pi4vPPvvPKyy87MDvfR+iXb09gaOv8stf/9du/z7vfdc0xz2vMDyJ+aPeuA6yZcDlrc8Kz+w0jvmByVDM+4jIxKpgczZgci1m3YoGx9jRfuj/moecajIal7YQdAZbLnKpyayqvwupgWThguRVL0fLLfTeyUrdWn227c/7gYyPsnWkjvICGtgSuiuNSLpOqTSnVO4ZXiFlLKkAYSDpNweplhsvOnmXl8sM8uN3hyLw3dL0S1h64zMusvq5AIKqHqn0cfk4l07KH3HJ8WbYjttLpQsvqOKW1RkrgxbQbfeYGC/z1VxS3PxqSp6WCvTjclW8J5dSnpvwfyvEWGx2VwA29nImRiLuf0Bw+4pI7GllQHZZGmZeZ8iWIq8XVoneo4evkOYZWmLJuxRyz8Ty3PRGw0FNIcrIsL1o6iVKKpp/juV2+co/P3HxAP8rYetqFrFu77r/t3vPSXZs2bHgl0P3WFby81q/dRLPVeTAadL+4f/+Rd7T1i8ylA1zVoNN0GRtxmBwTTI6mTI4OWDW5gOvO8IHrFZ+7Y5LlocItjF6cUjTq2lW8qymsJagp8Ot6zqywlrBaTrewlQi8AVke8fdfb/Li/iY4AU5RvS2f3AzbEkVhJydqi6XFpqCBJwh9aDUyJkZiVkzknHPqgP3HDvD+T65BSN/GWpctRCGeVVXfbarx4rAHH/JP6u3K0sVOfcI0bE+GgbZa53hOSuBFdJrz/O+vKT526wgrm4qGTgFJMzPkvsIYVSNT2UsWVhnDkaMaRsOoHCUdlMoYRB4bV6T869fN8/yHfaJY0xUBjij8blKziGZcgryKEhR58TqYQrVvl0FKCrxEEKWS+V7Iu67o0o0O8IEvTzE38Fg/lpOkCVlmkMKhFTo0Goqj3QW27zdc++pNrN+w9YurVmx+cKE790ph+8oB3hqZ5MHH9+5ygst+8aytD6hbHtBvu+dRn6mOw5opl1XLBFPjMSsm+ox35kjNcf73V1w+fsskHW379EYgCD1J4GkCT+EVh8nhZKOoZLrQc2pTGXO6ujxcFgB3bYTKx2/x+PgNI/RNiHI1TWWK5RLV1rQO7uqxxBDUd0tz/pxmkBF6KWkm0NLlrLUDGt48vdhK6Vxl0BlkcqgxPFkPztLPl15LA60wVZ+8CHzKGpE6TkLgRQySiCd3jTFIfbQSDOKc3sDqFIcLpKLvRtQOssU7iJDFTaSKDbC2/1biEMmMRpDyb67ps233LH93k0eiNAvSwU0FWhTvQGmdhWmqsWF52LaTk2JylsuiTZF4PcWx2YDAG+W9rz+GEgf4yM0T7JgJ6SUQpylZDlI6eG6bd1xxjMdfjJgZ+F++9OJLfpF87+7x8TXfeYADXHTOamYO3bL71AvPf+qx5+be1taHOGeTx7opw+T4gJUTXSbHZrh7W8Sffa7NC/tHGfEc1ozkjDYF7VDRDDXNUBH4WDKNHr5QqhznaVO5zFrOyTBhwiktJoIBO4/mfPq2JvuPNKHh4WtJo5C5udVYsPYox4NVFZfVQsl3wfdy+ygcb4WwC5ELt6a8+rQuNzzSZuD6JJkonJxMBezShKeezrAU4yfgu/bJUC5nCgOA4XjQVnC7rQ2DmNsekzz6bIgjlZ34pBDFFFyRYYskpKxaJwtEOaQFV0nRavhuoXRRyT1WjSf80FU97n5snpemNQOl6KbKCsDTwks9XdKPF9+wMcbaKUtBmlofQmMUAomUulBlwYpxeO8bZrnirP388edGuPuJMeYGin6U0hvkDCKHresarF65nNFVFz/1hRvu2P3Oa6/8h0D2HwZwgJGRNeCu/MPTN+3f2NaDH17ozbBpTczysS7bD/T5qxs0Nz40RW8hZEVLMNm24B5pKjoth1ZD0Q4NgW9t3MqULoyoBv9lFdeFhbKra5XbsZV7/9GU3/pgi5se6kDg42pFUxX9tipHg+VCp/RJtFXE0bUxZdn/l6agjn23sGM5O+dr+tDyE0gTUuORLLIis58vEiOUn5cvWg3h9V6Y2ueLN5kniy8v4hGdhPlYsNC3P7rMQJIL4swQp+Ak5Uix3vuXSxr7dSoFiZIFsBWptAdOKbWt6EnOfM/nDRf0+O2fmeHXP+iwe1qzIILC4aAkqNlxpM4gE/YdTYhSepYXUx2Bo3OSNCfNtT30oivm4USq2bx8nt//t/Pc/EiXL907ytN7W6yKcsKwy+O7prj84jM/derWC/5wbmbfPxSu/3CAC+9U7r7za7Pr1576E08+8/iqx54XV2zdMM83tkX87sfHiaOQjidZOWEYCQ2dhqDT1FbW1pRFzmZOI7CKe4Og29dEyfCHrOqVy1ncmvhujNYDbnrQ4e9uGcG4IdJxaBa5QBVLsQC5LtuTGsidcu5eGPRXfX/RGpXR5OUoLM8FeWbAZGTGkBaR1Is9+OqVu7TuKXkiJ6/hdYmn7V8LQhTDCj5c1w+90IVUCGFnzJb1B0laPDJDnJatjfX7UxXQi22iEsi0/DVZVHZVpdlZ8pqHkhk/+oYudz45ywe/6pGmRasiBU4m0MWWM1UGXQTV2gmhIUqgN7B3uufAwMtJU0OeWROhLNcF11zS6zuMtEJ+8NIeb75omt/5RJ+d+ztcfGbKfKbuWrH8lJ/Y/eztvWvedPU/PcABLn/1tTzzzMO9N7/pXfG6yU/yN9eF7Dk8zqTvMDJmK6fvQCuUtBvaSsyagtGWodNKGWkmjLatTnOuq5jvjhAnDo6yL4gVoZZG+HYsaL0LY1xvwL3bBH/5hQ5GNpCOT0NJGmrYmiydeWtteS9aiZobrqzIXk4F8gLcuuA+F0afQwZfkddIuRofjgTr6/zhx5fhoSwBOTUu+GI2YWHWw5B4Vd4wOUPGn3UWs9RWRxnS6pGTSkVSVnAFaSJICnDbyq5IKnDrgmfvFoZPGT//jgWe2eVx91OagVR0pcKTYnjGySDX9rmX5qtxajjcM8z1BE1HMN40xKlNvLbOVboQQQiiWDLb9XBUi04z4qff1GfnwQUeeG4D/+7H3x5LmfUuvewfDu5vG+AAW7euJs/zB17ac8GlG5bfHwQqxtOKVmg4cNS69XdamnZD02nCaCtnrJ0y2h6wfGwBIed5bKfhgW0dHAMTHTs7d52h7Zsu2xNtpyZhMGA2ivnfX+7w5IsdaAV4WlrZWzE1cYvWpHQm1XLYopQ2zxW4y/l48SjbIl2kulnP8SUnxZo399CIp/rdilz1cmfLE0FeAzdUh8+SzTX0Iq+LH4yt3rkoHhbgaQqJNujMoLOcNBV23p1JexOkWHAXBpjWiF4gM4lKFVIZhHCKNsm+BqdvyviZt83ywnaPQ31NV4b4SuBlhiQThf+gPUO4GloNzcY1hrPPmuG+Z2OefLHF8YHLqsSQpBlZZi2Us1wXkjaBF2XsPyLoNDwc12NmXvG2q8/tN0bXPyDqZkrfLYALsZxud/BrF194jdn+0v7/fHz+Jf+CrSnP70uIM5eJUYextqLdgJFWxlg7YWJkwIpxO2H58y/7fOWeZXS0xznroeEZmoEtZ3ZOvLh6++6AhX7EB74U8pX7R6ER4mptW5PaUqcyUa/Z7ypllyD2LbtY5lRVvezVi4VKtRYf5nNKUWrBvrla5+UA/YoUPkuWPiz5vPqF6rIJwEkF7uKRYw922toTp1mOSgWpMiRp4eOeYYFfVPDyMJtIhUzKtkhX7ZGay3nzRV1eeOcx/vKLmmOJZkG5+ErgKkOaFYoiY9ufwFesGIdzt2h+8LIZrrt/gb/80gTbpxsF/SEny62wOM0cJJLVy2NyFrjvmZCzNmQsW7FmcNklb/rTwA9/3fPdV/IKnvT69m8NoNHw8z/68D2/1c9Wvv/aV4/E+44t8MhzkokRl02rJFPjhrF2xngnYWKkz+rJ4wh9jD/7ss8nbpnCNwHrJgSNQFRc6HI0NrR9S/DciLDZ58YHNX/89xPMRS0cx6WtoVX41g0PlpzAFLSVfGjKXzIZdVW1i0cVgpVV4zklsor7bBcmL99yvFJXoMVK/eFnixafS/6uarZt7HkAk5NWVZyqimcZZKkpJhjFIzWkOSTljVCr4GkqSVIbBpykijixrL4ocYhil37s47sB/+VHBlxz8XFkt0c/zVhIBFFq3wGyzE6VyvPIQk+y+1CLLJng37xW8h9+4AgJ8+w4Jjg6D8cXcmbnUw4fi9mxL+XwjOL8Uw3LJubZNzcZX3D6sve70dd+y/PdnH/E9W1X8PL6tR/dG4dTjT944M5O/PUHur99znrkhafHIDOigU8jMIy2IlaMz2Hkcf74800+fetyphqa9RM5oy1FI7CqHVeXdNjiUOlaIlWr2efxHYb/9aVRulkLx/doO4WPSrWtrNNgi6QAVZrxD1uTobF6TfRQTW7yaj1eBl5JlaHdHK0FiKEo9xXimJPZSNQB/LIKzsV82yrZIUshSzLIM+Jck+QW5ElmPf/qYE/LViW3h8KsAjboIhFNSYHKZDWiRCx5AsXzbDRyfvbtXZ7dcZyHX3JZkCFBKvHTnLiQtiWpIYpzun3JsTmHXQeb5Lngh15zDMw0f/Q5w+7jbZS0baFUGUfmY4484dDttdm8gvxwNPbbf3PT2B/7ei7+x+LzFa3qX+76vT/6Cm98w8+lylt/bM1k52eXt56TsZnltkc8XO2xelnKqsk5/GCa93+2yWdvW87yULF23DDelpa70rKtTKuIDrfqfOur0ml2eXZ3zK/+1Qh3Pz2B9EI6rqDjGBo1cDvlJrSgwFpP6RrPxJG15U5J6KJyLfUK73KvpAMUJqGBP+DxFw0fubHF4fkm0nUIlcAvbqjFN8swgqMc08lqkiGHE43q3aVsxwoikiqnR6Y6B5RnkfLg6+gUKRLue9Zl9+EAtItXijqqv48ltACxhD5AxdM/QYe6aN8+NAiyWxzB2qmUU9b1eWqHZO+0j1QKt5ADOsX3Yf89iZA2TSPLFY7WXHBKwmhrgdu3OSSpy0gg2LhScd5pCbuPdHlxD1xw7mX5eWec8p82Lhf7f/a97/zHwvMfX8EBNm1cy/KVa1544GHn53ccOv9/PfLwY3J5J2T1spxlo32kPs7vfbLJl+5czsqGYtWoYbQtGW05jDQ17QY0Q7tBC/2E0E8rhf7CYMDvfaTFrY+OI4KQtisYcS24vYJnUh8HlsDRhVJnKRek0mIW2sx64GxJS9VFcrIucu6f2aV4apcPjiyookMvw0WJa9+Bq9SGlLuBUkRg5+3WSOe0dTlb18Xc9VRClufEubS9eFWhy0MchWSs+Dobbl6zTJCp4s8U+sk0s5zxoare/rum4PELDEIaXnPOPL/2vqP87P/wmO2P4StLlnOicrmWo2VqN6tIjHEr+dq7Lp9ByaP80ecVh+YCxo4YmmHAVecYTj/99Hx8+aqfPza46IXRcOd35PX8jgB8atVWvnL7Y/GG11zywbHtL4XXXL7sTw4f20sQ+gTBDP/jMx7X3TPJ2pZi1RiMtxUjLYdOS9FpQKeZ0w5TmkFKI0gI/Yhm0Cfwunz+Ls09z4yQuw3GPMmYa2i6OX5Bqa2MOYWoKqIUomDmDYk+5cJD1khOutKK1jjXtfZEqwRjMnqxA8YmI2sh0IUTU3Uo/A4i3E5iSqvjxeC2Yl6JQNLwUoRIyPOMyMiqTanSE3LIypYlE+jcBlLlSzxMSs9uC0AKQNbNe4Y5nOU36aicS0/t8gOXHuNDN7scj1q4UlrNazmzL/50bpxi7l0o7Y3gBy8/itIH+YvPr6SXCF7c1+d4tJ61G8f+62vOfM0H4b5MiEu/fwAO8NYrz+XgoYPZW97ylu233zM5f2TnTa3Vy/bxV9e7fOnuEda0FeuWwbIRzWjbodOUtBqGVpjRbqS0woRWwxrhtxpdPHeBv7tF8jsfmeBQt8NIqBlzDS0vJ3Rta2FjVIY9sai95dZBLpZu9QpAq2JjWvbdw4et3q6b8sJB+NytIRgHIdUJqWziJNOP7wTI67mXpdVankmyVGPQ/KurBtx834CnD6TEjkOUCZKy/86wIU8FyG01L+P7DLoCdt3LxJALSBGFuMNagmgtSQuXqiHP2zDSyvm193ZJxWE+cZvi6KBhk94KsoK1nzB28ZRoBrFiELukqVX//8AlR4njaW64Z4wrzpvk2jddNr963cXbjx49kC1b9p0B93cU4ACOF9CdG3z5kvMv/ffnbOj96We/ctNYHkdsXiaZbApWTzpMjmlGmtAIMgLftiXNwFq+tYIBzUaP8ZEFbn4o4//3kQl2HRul1XQqcDc9CDxD4Fo+SZkMkBWr86VDiJLWKYVgSE9l2PNWh8y8VsFztE5RKuXwrODAjAtK27VzYTlRB/nJHai+DWAvEiuLyoKhzJ4vXaKyTDM1mjI5EvP0vpg0c4mUJiljsrNhJa+y4wuQDw16ahbGNd6MBX3h/oo9mCeOLOJphj4BUhomRzJ+871zHJ52uOF+xRF88iLgKisdqhJDb5DT7Ul6PU0Ua7Ru0I0S8kRyxXlNJtZffWzLlkv/08zxwZdbbf87CcnvLMDHR6yEv9eb/lin8xp94YXuH3r+zcsOT/dZt8xhyxrB2qkezSAhzWyop++ltBoR7bBPu9FDuz2e2Zvwubs67JoeJWx6jBbgbniGhk/BSLRZnVrZiUBvYBVDFQe6WLhUVV0N/Qet2U/Rc8tha2KVMymOsrP3hX7KZ25usHN/AKHVeDqVbKsWGMtifkn9EjXwfLObYOnXdUG+qRvp5Nbnrz9w2LAi4t1v6PLES02OJQEDrYhS8JUo2pLhbLzSb1btiCl441RRRuXrYgwkmaQ7sD2zVjb0N8kKM09KQphByYyVIzk/eMUc+w9Knj0wyv44pBdL+qlgJM1tOh4W7M0gZ828Jss1q5YHHOu3ufaqNx658KJLfnkhSj+2fMWy7yi4v+MAL68wHMeYYx+64opXyae3H/n9M9Y9sOz0DTHrVsyz41DC0QXFumUurdAw0urTChcQssfuoym3Par49NfHeXTXGNoPaDvQdg1NFxoeNHw7Nw99RegpPNd67+0+GHFs3v6QfGx6V8kHERQVXA15LmUF18Vq3inbE50V4bMJT+0UfPWeBjgeUmm8wl+l9DWsRw/Wwb1kurfYQmKJVe3Sm6Ly/ctr3n+Fx19pUZxkmih2eMtlER+9uccDzzeIM4eBEoQluHNqB81hFc8LMXXdvkUW1IjAs4ut7sBw8KgDgOdJGr7dlpbFQ8jynS9jvpfz7tcscPqGI3zy1h63PtrmpSMturM+3YFmopHRDA0rViVkWcJjOz2OzTuc0Xd582tPP7Jm8yW/evhY/qHNa1/e3+T7CuD2BzfG12+6/oObVnaydSOdP4p7e8ae29/l07eMsqwT8uZLUtZMzhKlc9z5UMr9TzXZtsfl/qc9othH+j5tX9ByckLXZmGGvn2xm4HVfbZCRadpWDERs2rFMT5yQxsXu51zC96qra6iqt6lprJ+wFwMbCtkjrKET9wSsPtQCA0XRwoCaQoLuMUeh9VcfOihsIiAdfLXp3Y4FYtHz0NfQGFt1PKcNJWW+Zcp0lQziFxWT0b8mzcu8OyOFnOZTz+3vbiXlTPwGriLR54bTK2CC+zr4jo5rUaMkj2+eJfg0JE2U6OKVlOTJta1F0oahVNsflP6yqUZBly81XDuph73Px3zzJ45bn+ywf3PjjHdC9i0MueN5ygmRmM+9Y0uMzMBC2bVsW408Usvbrvzw9dcc80/FQz/6QAO8Po3vpn77/rLj/bkZPzIDuevHntyb+uCTSErJiSdUHDgeJ8PfNXnzifbzBwPiY0gVkBo58aByivJWeAKQk/QCCynvN1QjLZzJkdTTl07y8psmr/4agM3UTS8vPLbqb/9lgfM+mKnfqgsQe7ohNlBzn3PWH8VqTSBEvgqL6Y2Q0esk9m9LWptlyh76vfBCVMYUfv/q+otSIVl+6nMkJZWD9ohT1wu2Wr3BXPdiDjTDDKBnxu8og8vpyhZbqt3CfTyEEvRTzva0PATjFjggRdc+j2DJLF/NjeARkqJo5TdObgaL3HwsoQ40cwvBAghOHeTw9kbBa8/N+KOpw/ygS9NMrvQ5MGnNSsmPN543ixuc3J+wPJf2Dt96JM/+96f+KeE4D8twAG+9mgrH2TOp0b9ZvrmVzsfibrP+jNzI8z1e/zNzS73PtlmsuGyaT0cnBe8MGNZZ6KYVjjKLmQ81wYUhb6iGUo6TcNoK2O8M6DV7PLAE5K5HoyqYUtghbzD5caJh8pai6KL/lsnKC/mtntcduxtgOvhKWX5LsrUaLhDkJeJx4sqdxWwtNh1qvps6Ry91sPXK7jIylQzKl64khqdOPQHHutXprz2ggU+8/WQVHv0MoewnKjU+vC02nIOD59l4oeoZHI5fpBy6ga49SGYngelsuIMI1BaFQ4IVr+a+rIw2beTqCj22HtojKOzIaOtmKvPnsHXx/jcrZp20+f5A31ao6dFrzu3+VOnbso/d/RY9I9aw39fAPy3fuE9PPXg32enb17zuVvuS7Nde7Z83Ig9/nX3GXa81OGMFZq1k4p1KwTPH1jgpXtTWn6f2ahBkjfQ0gqFfbdIt/UVzQBaYUanmdBpDmj4Xb56n89s12F8pEIQQiwl/NcsFVQh6FX2UbpjeU7C8dmMv/7yKMcjH+U71se8csEtyFl6uEyqJ/TmOdY2rWIcFs4otXZlkT1bqaCv+4xgx3iVZRblzaqQaam+ydCJS7MR89Nv7fH1h/oc7vkMtKafCfxM4GaWH+5UHJViHJjn1lrNDB2xTHFDdULBW17V5Uv3JEz3XAJ3qKpytfXoDjxDlNjRoVIGxx3QjWMCN+Wx7R1eeMlj3YqAdSs8tq6c5+2XL/DEc3DpuZuiN1z9rvmxsRX3TEf9bMPpY//U8PvHka1e6XXmRf+aD335cPb+T7zh8+vXTf24Ctf00ijgtHUOayY1Z2zUnLe1i9AxbzjH42/+c8bbLp4lydKiP7T5PIGnaASCZpjTatjpy1inx+7DMbsOe7hK4GqzCNBDHsoweVnXtJ51OZzWCa4bccvDHo893wTHx1eycsf1CmGEVxr1F8StsorneZHoW2wNyzmzqerUMLltGNkxfGcpI60NdtOYpII4lUSxIkoUcWwfSWItiJPEIYo8zttiuPrCeWQakWUp/UwQp6IiViWpreZJtpiAlZU9ekWbtf7d6yZz1k/Nc3ge5vqw0LcJD71BRi+CQWSFClkucXXC9Q96/NT7N3LLA2uITMIjLw7YtiNn1wGXp7Y3EFnI+Wet6jVbk+8545T1Z62Y8A+sWTX63YDedwfgAD/54z/Kr//EN8yh7dlnLjlr7U+dc/ry2UGSsmVtxhmbumTMsHOPx2mrQtZMNHnjBRm+ztGyTHlQRYtix02tMKXdiGgG81z/oGb7viZNx9I3h7xvywPRujD5cSzAXacEdglyOxr03Jj5fsZHbmjSTQKUsob9Q7N+g6+xeUGOKAz7h+O1tDCLTzJq63IrkjA18/BSf6lqB97yuShl58xZbsE9iCSDRNpFSaILpp8mTjVx6hCnDp52+PFrerTDHnmSMMiMBXkN6ElqabQVyNNaC5MKslSSJIoodtmyUvK2V83RjVNm+pKFgZ1lDwYZ/UFOP7I3nc3gEdz0QIP9B0Ke3zHGqSs9pLvA07tintsdE3gDnHBqdmA2/dShlwaf+dDfffygECJT326Y6PcrwAFee9W/Zf1Wn7ueHPn78fEz/+O1r7t8enJSofVxrrsnZHk7YMW4QKmUXmxJUmHRewe+dcpqBjnNIKUZxEyMdHnxQMx1d7dJEo+WZ+VRji6VPItVO5WZUBGDZ63f0krM7Lgxn7rN5eFnmuTaipjD0oLCsSolzxX4DoXFhHVl0koQpzCIYRAb4sQCvZpB1xQ/dsw2TIPWuvRdzAi8lNBLcbUhTSXdvqI3sI9+pIgixSBRRIkmKoCeJA6D2OOCrYYfed08MolJspxeJhikgrgAd5xazaY1tDckaV58tDPuKJVEiaTbd1Ey4B1X9Nm0ZpaDczA/EHT7hm4B8N4AugNJb6CJE5fQy8lMxv5pw+HpEd56ac5CPEB5HivWvnr6ovPO+48/em3j70dWtPiJf/Pj303I/dP34EuvK173XgC27Tj6Uam03vnc5B/c9fD1y+Jen9M3aDauilmIBtz6SEDTkXQa0AgUDV/S8KEZZDQbCSOtPo1gnlsecXhmX4fRQNBwbKaLV/gcOpW5j6nyhDynTGBOi+wXC3Dfjen1Uq67Y5TZxEd5mkY9Q0gzVN8XcYauK3GVpB9nHJpPOTwnabiGhmv7bqWwcq58SQVnKDKwmaI5gW9jYEI/4fAxj6OzLv1IFtEuhtyjmEMra8qptO2LU9uqNEPN21/d5+9u7TMf+/SVpJ8Ja/VQGv8rg5NYLomrBXFibGpaYmVjg1jTHzjMdQM2Lu/xxvOP82cvtZjuuoROju8ZAi/F70vme4LjCw79KOB1583w0LMJOw64jLc1q6cavPt1Lq+94vVHLr7kgl+B9KNCrPxuQ+17A/DyOmPjBMcXun+78rLLxdE5fr/Xu33Z6mWzjHZm+MqDhu27m6wfFYy1FZ2mphFCM8xphikjzQFjnXnufy7lc3dPIfKA0SAncI01EqrS2WThLw6em9sMTy+rkpdd124sdWEB9/RuyY59AUZ4RYy4nZx4ZQKcQ+GfYtO+wkDRbkgmxzJWrZnjE7e5HJgNmWrZaYeTQlZZqEF5zCzzgHSZCO1af8WJkS7HFnpc/1CHw4dDJjuCVkPSCCwfhXLkWUx/HK2JtcbVDlnusGlVn1NX9XjohZA4d1hIFU4tVEoqU+0BHMfgJhlRIoqHbYP6kcN816cZNHnHpfM8+Ow0jzy/nIYrCbyc0LO0YtfRuFrTCpucuqrLmy+d4Wt3Sbbv1UxNtvnht195ZPXGK341S83faqf9vYLZ9w7gACPNBiYdfPCH33JpelNb/0l27OujT+w4zk0PjuApzaaVmjVTGiUlvmsIvYx2I6bd6PLAsxG/+fFxnn5phDUdQ9MzRWUtA6xU0U5Y67egSIMLvITAs+p8341xdWLtl52Ur94XsO+4j1C6cqZ11dDyzSuyOn1PVuAe7+RsWJlw1QXzHDgGH77ZJXB14W9eEJ5qSpf69ESXh1Y3pRlGtMI5vnCf4O9vDdg8kaGFweAAyvJplERLcJTEURJXKxJHV7k3U50Bb7mkx0PPxJgsoSckUkhrwElhKCSKdxadF+5ehkEs8GPBIJL0XYU3cDg222DrmpTf+YkZfvNjDs/uHKfVg4ZvCJOMmXnBfFeQ5S7Lxxq88dxp9h7KCLyVvPa1F880xq/878fnnY9MjH37crN/9gAHENrn6Gz6sVddcMGx3c/u2mS89e8/Z/39ztFpxYWn5/SyLnsP+KxwFYGfMdbpk5h5/uTzTZ7aPsGaUcmYb7edfhE96Fa2cBRvq7mNOfQTGkFEM7CsRUcnQIZSKUJlHJ1XRKmD8mRltFmFZDlUXoa+pwg8QSMwNIMMgcFzHN526XFue3SBozOjtFybkJBlJQ+k7kg7PGA62tpntBsDDszEfPW+MeLYA6xbledmOFoWaiQrprBW04o4zW2EdmaN7H1PMd4q/8GELFPMp4qBlMR5sWoS9iA7BHhGFIuqkg9iy3XRMgfR5qx1hv/y7mP84p8GHF0IGWkaBILRdsaeIwMOPhMyNeay71iH11/+6uTwrPdL67dcur0Rqq8K8b0FN3wfABxgoqPz3S+98OWtZ/4rt7H3sV6S6r88vO9Jof0j8pY7XFraY+2kod2IUWqBT9/psO2lcbZMKkaDzDqqOsN8H6+KHyzAXfDMm40B7WaPZrDAwWMxnpOzfKxgLhtR2ANLG3tSc8Y6Idqw+Ps9J8dx7Bw7zTRrlsHUWI9dR9oMUlk7ZA7n4HVar5K21XDdFM+JOTBj2HnYRyorMkhSQxznRHFuA7qSIuYlMbjJUEOZpqrgXNt/k4KNLfKIlWMDHFdw8EiL1Fh+iZKlT3qO69q/P4oVcSyJE8kgUYiByyCxnJczVs3wztdM8+lvuMz1FGkGqydhy4Yun/1GzAPPjeWXX3q5Wb7y1P/w5s1nfHjv3oPx1lO/O2PAb3V9V6coL3etXb+FPQd2xF44+bGJiS2nX/GqFb/xwsEV7NmvmBqzvocTnS47DkX89XXLWN1yOG2FYdW4snbHxnLD3TICxYXANVVIbTOM6TR6jLaPc8NDKe/8Pyf4jQ91iBJIEp88cat0AkdgIwdrVsRulSGkqrhDR9vDmxDQjyVrp+D1F/dw3YxBYglKlT8fQ4SXjLxyq+q7KYMk5dYHXPYd8PDdchZeWkFkxYGQ6lAYp5K4qt6KPLOccTue8RDKx3dyfv8nj3L97+zj7a/aR7/b40hfMj8Q9CKbRRlFGVGcM4gNUWJn7wI7xdl7OOD53SMcOjbBT78lY/3KeQ4vCA7NZBw6Klg1KnnnVaP4I+t/45SNW07fuG7qY8fn9sZbT934vYZTdX3fABzgtK1nsXHDlv7kyNPPn3OJ/INYn/Hbr7vstGzNihzHOY6QfT5yY0gofTYul5y5yeOis63tWDe2m0XPkfiuLMBtpxOhn9Bu9Om0Z7nuPsWvfWQts91JsmSS3QemOHp8hH4ckOcWfarM8lma4VlMZZzCMNRmdBaxHJnEkYqmkyJMQlwKDvJ6+tqJFVzJkg+T0I8leebg1hKcsyrpLCdOrGNUlEiiotomSSFIKMUISiN0wKqmYv1YiElXEqpl/MZ7Yt5+2SH6vT5HB5JuJOhHpgC2BXmUWLV96GcgZrl3W8wTL2h27muRRKO8943zDEzOXJpydD4H7/TstZds+O3f++j5f3DP488/v3JqTX/jhlO+1zBadH1ftChLrzPP+2l+839+NvuDX3r3b/b7R/QXr7/tv97/1ONep72DQ8d8Vo0I1i7XnLU5RbgzGOkDgbVA9iWhB4GX43vWJbYVRrTCBb58L/z6h1ZhkgZnrDCM+g0efa7N6RvmGO90ybMYsHGDrip77xLcCtdRVshcSeMMRtj4viyXJIkmcDIcmRAXNNVSXLB0VV96jpRkryzP6CXK+rbIYeUxplTi5MSJnetHsX1OUSKJU2lblEwWkxaF70hWtjJOX6OZmx3j+d0B66Y0v/W+aZCHuf6BVRx3FIGbEcQGL7Jj1N7AxogYA5lIePFQDy93aIWaZaMtJts9Vo7E/NBrR/qnnbZlz4at7/7cmjVjv3lo54dYvuHffq9hc9Lr+6qC16//6xffjTGzbN/p/9pVV1zzJ//uve+4/Wh38s4NyyfSkUbOxtUG15/lS/cajs04LGsLWo3C/7A5DK7yvZTRdp+ndsX8zt8to9ttsLKdM9GGdsNm3ESxdVgySIRQdnJSehwu8TL3iuotpaki/MpE327f4dpLEk7dGDHIrEaySn2o1AW1ZU9pqqlTtr0kue7+Jp5vVUOqEGiAvUGS1BAnma24MbaCx9Ku7xNtQW5kocIB37H/zlxXcvS4z5HjTRp+i1/9sQVO3zTDoQVBP7YLqijJme+mzC1kzC7A0eMekx3N2149Rzfv8eLejINHBblZk1523vjda097x0e1E5yunPDX9+xf+L4FN3yfVvDyEqIiwf/qU498ivPPfk1rZHTw1w88evCHRkd3yc/eEXPbIy02TDgsH9NMjEjWTkVESU6UuGhlKaCu7vK1BxwOz7RY0YROCI3AglYVeTtK5khl0wUCXTrNFvN0dzg5CTyrBRUC8hpfJEkVUeIw3hE03MSadC7yLCx8FykDp8qYEoNSGb3IMD3vMt6w/jBVvqi0bMQkzYvXJENLhS4mOoNYEiX2304STZYYTGbASLLM0I9goaeYW3A5Ntdg2Uift1w8y+MvdpiPHcbyHM8RDLKcuSMxUrqEvsP4SJurz03Ikhke3Bagw435QK/57OlbGz8zPT09/7YfeQ/wnu81RL7l9X0N8Pp15vk/zHMvvDS/ekPwC6tW73nxsSfvO3PNytl3vGp2B4HnMtLSjLcN2p3ntscUm1e4bF6dMTnW5YmdKTc8uAxXOIwEOYFLEV1Smg1lxGlKP9XWY9yBoJip+64icBWhJ2gGhmaYoxUkiaAf2+WL5+ZEiSJJNf1YMyjkc3muKt3jYsna0Oheirzw/TY4jsZTFNQAG8Xou/ZQOYgsfyY3hSWxo+hr+/z6A8UgcohjD9+Jcd2UQepaM87EMEgkvUgzt+Az0mpwzYXHuf7+OZ7ZPsFEQzDaUqxf1+OmBwTH5xTtULB9r2bXgQbrV62jPTr6xc2nX/7U2VtX/8/5hf78xPJ132s4vOLrnw3AAU7dsh7g6M6XDvyfF1z0U+uuvORuHn5s4h0H9j7PthfnMLikWZcd+ye48JQUVJfphQGP73A4MBOysgVtn8qAvaTOdpoJz+01PPlig5aWtHxTVGu71PF9SSMwtJs22iQn4Z4nQwKlGWnbyUozsBwRgcO5m2Me2ZGR5urE1AdYlKqmlCFOch7b7oKx7x6+Iwg8QbOhGGkqPG/AvdtsmvJY287CSwN/z5V4A81Cz2W0HXD2pgGb1/aZPepVrME8hzSVLPQ8js60WDba47xNA/YfjYiFYGbB4Q0r4FYvITUuuejz5K42F513DjRP/eL73nHuf5qentvlNSa/1xD4B1//rABeXhvWr8CYnbtgy38/NW5/7OwzT/lF843tr/Hz57jhAdgwqdDOgC/eLdi8Yhm9aMBkU7BxmTW7PzqbMdKyALMr/IgXD0imZ0NGAtvCNANrIum51lYu9HM6zZRVE/M8u3+e+55ZzinLXYRwCT3FoKGJY42Wimsv7vGFOzOSwpJhiXi9cpAttZDzA8ON9/vITBUJ0RD6kk5Ts3pSsGlNn0d3J2x/qVNwVzI8T+LFkm5foJXCdVzaCwHLWl02ruhz14E2USKKuEHD+EifwzOK3qCJVF1cLXn9WYpNq7tse0Hw0n6f1529j6d3jnPxheeSeVvumBoP/+fY8jVPPLd3dtfW9d8bLsk/9vpnCXAAITYAvJgb86KAp9avlSs2rzvlAzvmn9+s559We470eeyZkFdtEnTjlKmO4pQ1LpvWzXD9fRm9yEUWsXaDdMAdT4TkicvUJIw0Je2mJvR1sUW09m6tMGGsM8+XPyc5cgyWNzJGWjm9yB74kmLh4rvWkdZ6CZ5YwSt1WilwMIZ+rFHC5v+4jg1HbQSSkVbK1HjK2y6f5f/Y1mJZS9BOcrLMshYX+tYUSAgH1wnZtLrBa8/u8tC2iIVBgDGGhp8x25/j6w/7bJoaJQxbpGnE3JzLhZv6TB/vsvfIMt755tdlW846+8XV4+bfnXXuFQeA58V3idb6T3X9swV4eUn7A3jepIefT9LsTa+/rLWqGVzw2Y985ob2VefPN6a7B7jjUcFE02Hjarjy3Hme36vZs89GFo60Btz7DDz4dJMVbcmyERgfcZgY0ShlOHo8I/QljrKb1Nlen11HxshySZwYBlFuJxqpLLSP1g1qcdLxieLjxXrMwoKiSBN2inl+4NncICUFayZyWq0+x3tNlncMWtlEuOnZhPmuVddI6dIM21yytc/FZ/R4+nmfOLV20i/shTueALKMtSt8rjpnnusXjvPEjil+5C1Bd3TqrXPCmHdPBGv2IdSuf+7ALq9/9gAvL6EnMcbsuuyiqT17D82c8SM/cM0lq8bz//3lO55MB+alsXPXLLQ2rT4OIic3dp480szpRgPueMLDMR7rJgUrJhxGWpo1yxMSs8CdT3pc6HtoBSOtPp+/W/HsroBxTxTTmtxGfWfWbq1c4iw1aC0/XywwNsV/YtGMXBUG/Z4DrpMhpeH0dTlvuWSWL93WIM0Fvic4bUOXz9+Zk8cO4JJmCi1DTg86vObsOXbtjTi+4JAkkBlJnAlePBiz4YDPD1+7cn71+lOOxeJivXwq++m1G9belzM+a3JyG4T7L+P6FwNwqLSR+cLswZmJU9bemMTTp/zGX3wguvFvPvHfsrm737N9xzOJOtbY2gpjP23BWGfA8/sSntnZYO24ZsNKh01rEo7PZ3ZRpBc43rXTiHYj4cCxiK880EFKj4ExzPUhii2hylAsfkzGtpc03cSGYiE4wUKiUuAL26P7ruD09TFP7siKdsPSDgIvp91I0ComS0KuvSjivid7zPaaOBo6zZjpAfipZpCkPLM7J808Wo02p6/tsWFVjyOHXY7MOGhvhPNPCwanrG8+216x2ZnadOHHHvnqm//vLWd/zZNuZ7BzV5JvXP8vB9jl9S8K4OXV7EyBNcnrvbB9D0Lo9y/01PvPOesM1Wg2/zLzBqfMHD1yxeTEC+r2pwO0CTllNaydykno8sxulxXjmk4jKYQO0Gr0uftZyWChwVvOleTuHE8869OPFXluD4y+lyFkzOfvanJ03qU1OgRMXlg1iOJwKYoVf54LRpqSd1ze45O3JnRjH1NEg1sWZJdvPJ4j8uWcsXGOV53W477HQ+IEklQSRQktT7B1Q8RDz0bs3CcRKF53UYszN6fceryB01ybbd264q7JVf7zvX735/PMZFIFXH3NzWZs2fre9/rn9U95/YsEeP3asmkNDItnOjc39zOXTvmjpId+b+bA590Vy/Zmb71y2fmnrUkvMOk023bH7D/iABnzvYTQgfGOYaYX88DTAROhxzmbNBedGfGrBzSD2ObZBH5OO+zxwHNwZK7N8lFBlOWWq4LlfaSpVeOHgcFgVe1aJxw45jPWEFy8dY4Xd3n0Ilv2Ay/jyHzKB746wmWbfVaOSy45bZpndw44OufTjyQdv0+e+Yw2EoIg4XjsEKtx9hybeBg9/8iWU09Rb37L1fHGteP/x0I3nhkp7PV+4ae+1z+Z7871Lx7gS692uw0wA/wcwMFdNyOFfM18d/6NvW767tEVc6cumzSEzaf52kMT+K5gpLnAviM90miUNctUkYCsSfOcNLOjx5HmgIdf6PF7n+owN9vkx14Ts/vogNnpNisnBbsOZ8z17Kix4XfZdTAgcAX3PG3YdXAZP/SaBX73J4/wB5/UTB8cI07tjFzqlDi1TlJ7DrmMtH1GW132HXbp9hRvvtTh9ocbjE2dz4UNhyxtP9ds+p/Nc/emNQ1zx6/84uv5i9/6Xr/q37vr/3MAX3pNrbsa4I54cOwOAXeuHUSbNmyay3c8vStvjKzfcNVFK36l6eykPzvgVWfOk/Sm6fZ8DkxHCDTzfcNoM+HoXI8bHwjYvFIQdVI2L3c5Y8MCX/qGZNNqw86jA2Z7DiPNGKVn2LFPs3JC8JUH23RkyDO7M7pJwBvPS7j+7h7Tc5rQj0iSlLFwAUyDZ3dnTE1O8KYrmuza57Nyw0bawY4/eODZ/s7Np14hz+mMSmOc7cCNK5d/f/Cxv9fX/+cBXl6uPwZwY/n1sekjvOpKb2Rm+uC923fAYNYk17yh8Z+zLL46il1yBrzzNQ+xZ99xjGrw7L6AVrCMH7pqms98vc/0bIMpFzApnpMizTyDgQek9OMeswsRg0gSR9DoxOw6mHL9/St492s8XnV6n+kZzQv7JVG2gf/+05ehVUiUGTDi5rPWHf2TRzueM7X6bFavftMdv7c1Or5sYvx7/RJ+X17/f4B/k2tsfBnAceA6gP7CPoBn+1G6PM9kfmQ244wNz6HNNEnusDDwkEYn6zdd9Vub93Xfuno0TybHelx8fpNzz47ZsHmWbS+O05nI2bZrPWvXt1ixWnDxOTlTLcWmNYkTORNfSePHfmty1HHSRHJgRmPEOD9+4bl0I48MZJbJQwZ2/qt3/fPcLH63r395c6Hv4fXsM/egJMtvuPdgZ/VIbCZHBzy9I+Tyc2I8f457HhtlzSTc83QfTwVcfpbgid05k03BKWszcWB2/azAHHrdVa/+Xn8r/2Ku/xf8Q7RAX/hpCwAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxOTowMzo0MCswMDowMDYHe/4AAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTk6MDM6NDArMDA6MDBHWsNCAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 46969909
    {'hecke_orbit_code': 27021597931995381, 'n': 1, 'trace_an': 6}
  • id: 46969910
    {'hecke_orbit_code': 27021597931995381, 'n': 2, 'trace_an': 15}
  • id: 46969911
    {'hecke_orbit_code': 27021597931995381, 'n': 3, 'trace_an': 124}
  • id: 46969912
    {'hecke_orbit_code': 27021597931995381, 'n': 4, 'trace_an': 3009}
  • id: 46969913
    {'hecke_orbit_code': 27021597931995381, 'n': 5, 'trace_an': -3750}
  • id: 46969914
    {'hecke_orbit_code': 27021597931995381, 'n': 6, 'trace_an': -4888}
  • id: 46969915
    {'hecke_orbit_code': 27021597931995381, 'n': 7, 'trace_an': 0}
  • id: 46969916
    {'hecke_orbit_code': 27021597931995381, 'n': 8, 'trace_an': 22041}
  • id: 46969917
    {'hecke_orbit_code': 27021597931995381, 'n': 9, 'trace_an': 111090}
  • id: 46969918
    {'hecke_orbit_code': 27021597931995381, 'n': 10, 'trace_an': -9375}
  • id: 46969919
    {'hecke_orbit_code': 27021597931995381, 'n': 11, 'trace_an': -47796}
  • id: 46969920
    {'hecke_orbit_code': 27021597931995381, 'n': 12, 'trace_an': 541656}
  • id: 46969921
    {'hecke_orbit_code': 27021597931995381, 'n': 13, 'trace_an': -102168}
  • id: 46969922
    {'hecke_orbit_code': 27021597931995381, 'n': 14, 'trace_an': 0}
  • id: 46969923
    {'hecke_orbit_code': 27021597931995381, 'n': 15, 'trace_an': -77500}
  • id: 46969924
    {'hecke_orbit_code': 27021597931995381, 'n': 16, 'trace_an': 2371065}
  • id: 46969925
    {'hecke_orbit_code': 27021597931995381, 'n': 17, 'trace_an': 38472}
  • id: 46969926
    {'hecke_orbit_code': 27021597931995381, 'n': 18, 'trace_an': 1837015}
  • id: 46969927
    {'hecke_orbit_code': 27021597931995381, 'n': 19, 'trace_an': -361056}
  • id: 46969928
    {'hecke_orbit_code': 27021597931995381, 'n': 20, 'trace_an': -1880625}
  • id: 46969929
    {'hecke_orbit_code': 27021597931995381, 'n': 21, 'trace_an': 0}
  • id: 46969930
    {'hecke_orbit_code': 27021597931995381, 'n': 22, 'trace_an': 2068680}
  • id: 46969931
    {'hecke_orbit_code': 27021597931995381, 'n': 23, 'trace_an': 697032}
  • id: 46969932
    {'hecke_orbit_code': 27021597931995381, 'n': 24, 'trace_an': -4828076}
  • id: 46969933
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  • id: 46969934
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  • id: 46969935
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  • id: 46969936
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  • id: 46969937
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  • id: 46969938
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  • id: 46969939
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  • id: 46969940
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  • id: 46969941
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  • id: 46969942
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  • id: 46969943
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  • id: 46969944
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  • id: 46969945
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  • id: 46969946
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  • id: 46969947
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  • id: 46969948
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  • id: 46969949
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  • id: 46969950
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  • id: 46969951
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  • id: 46969952
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  • id: 46969953
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  • id: 46969954
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  • id: 46969955
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  • id: 46969956
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  • id: 46969957
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  • id: 46969958
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  • id: 46969959
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  • id: 46969960
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  • id: 46969961
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  • id: 46969962
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  • id: 46969963
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  • id: 46969964
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  • id: 46969965
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  • id: 46969966
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  • id: 46969967
    {'hecke_orbit_code': 27021597931995381, 'n': 59, 'trace_an': -120280392}
  • id: 46969968
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  • id: 46969969
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  • id: 46969970
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  • id: 46969971
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  • id: 46969972
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  • id: 46969973
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  • id: 46969974
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  • id: 46969975
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  • id: 46969976
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  • id: 46969977
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  • id: 46969978
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  • id: 46969979
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  • id: 46969980
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  • id: 46969981
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  • id: 46969982
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  • id: 46969983
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  • id: 46969984
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  • id: 46969985
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  • id: 46969986
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  • id: 46969987
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  • id: 46969988
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  • id: 46969989
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  • id: 46969990
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  • id: 46969991
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  • id: 46969992
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  • id: 46969993
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  • id: 46969994
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  • id: 46969995
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  • id: 46969996
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  • id: 46969997
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  • id: 46969998
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  • id: 46969999
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  • id: 46970000
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  • id: 46970001
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  • id: 46970002
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  • id: 46970003
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  • id: 46970004
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  • id: 46970005
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  • id: 46970006
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  • id: 46970007
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  • id: 46970008
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  • id: 46970009
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  • id: 46970010
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  • id: 46970011
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  • id: 46970012
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  • id: 46970013
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  • id: 46970014
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  • id: 46970015
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  • id: 46970016
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  • id: 46970017
    {'hecke_orbit_code': 27021597931995381, 'n': 128, 'trace_an': -18557585847}
  • id: 46970018
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  • id: 46970019
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  • id: 46970020
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  • id: 46970021
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  • id: 46970022
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  • id: 46970023
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  • id: 46970024
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  • id: 46970025
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  • id: 46970026
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  • id: 46970027
    {'hecke_orbit_code': 27021597931995381, 'n': 173, 'trace_an': 11741574096}
  • id: 46970028
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  • id: 46970029
    {'hecke_orbit_code': 27021597931995381, 'n': 181, 'trace_an': -39745187532}
  • id: 46970030
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  • id: 46970031
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  • id: 46970032
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  • id: 46970033
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  • id: 46970034
    {'hecke_orbit_code': 27021597931995381, 'n': 211, 'trace_an': -33618177036}
  • id: 46970035
    {'hecke_orbit_code': 27021597931995381, 'n': 223, 'trace_an': -76278404028}
  • id: 46970036
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  • id: 46970037
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  • id: 46970038
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  • id: 46970039
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  • id: 46970040
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  • id: 46970041
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  • id: 46970042
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  • id: 46970043
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  • id: 46970044
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  • id: 46970045
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  • id: 46970046
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  • id: 46970047
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  • id: 46970048
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  • id: 46970049
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  • id: 46970050
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  • id: 46970051
    {'hecke_orbit_code': 27021597931995381, 'n': 289, 'trace_an': -131147810970}
  • id: 46970052
    {'hecke_orbit_code': 27021597931995381, 'n': 293, 'trace_an': -21865468656}
  • id: 46970053
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  • id: 46970054
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  • id: 46970055
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  • id: 46970056
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  • id: 46970057
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  • id: 46970058
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  • id: 46970059
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  • id: 46970060
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  • id: 46970061
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  • id: 46970062
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  • id: 46970063
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  • id: 46970064
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  • id: 46970065
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  • id: 46970066
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  • id: 46970069
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  • id: 46970070
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  • id: 46970071
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  • id: 46970072
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  • id: 46970073
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  • id: 46970074
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  • id: 46970075
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  • id: 46970076
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  • id: 46970078
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  • id: 46970119
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  • id: 46970120
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  • id: 46970121
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  • id: 46970123
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  • id: 46970125
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  • id: 46970127
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  • id: 46970128
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  • id: 46970129
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  • id: 46970130
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  • id: 46970131
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  • id: 46970133
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  • id: 46970134
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  • id: 46970135
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  • id: 46970136
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  • id: 46970137
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  • id: 46970138
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  • id: 46970139
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  • id: 46970140
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  • id: 46970141
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  • id: 46970142
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  • id: 46970144
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  • id: 46970145
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  • id: 46970146
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  • id: 46970147
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  • id: 46970148
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  • id: 46970149
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  • id: 46970150
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  • id: 46970151
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  • id: 46970152
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  • id: 46970153
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  • id: 46970154
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  • id: 46970155
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  • id: 46970156
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  • id: 46970157
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  • id: 46970158
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  • id: 46970159
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  • id: 46970160
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  • id: 46970161
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  • id: 46970162
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  • id: 46970163
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  • id: 46970164
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  • id: 46970165
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  • id: 46970166
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