Embedded newform data - 1682.2.a.q.1.2

Formats: - HTML - YAML - JSON - 2026-07-27T04:37:19.362209

• 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': 6728, 'analytic_conductor': 13.43083761997936, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [29, 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': [1682, 1, [843], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 13716913, 'field_disc_factorization': [[7, 4], [29, 1], [197, 1]], 'field_poly': [-64, -32, 52, 17, -13, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-64, 32, 52, -17, -13, 2, 1]], [5, [-29, -28, 66, 0, -17, 0, 1]]], 'hecke_orbit': 17, 'hecke_orbit_code': 72057594071484050, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1682.2.a.q', 'level': 1682, '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': [2, 29], 'level_radical': 58, 'minimal_twist': '58.2.d.b', 'nf_label': '6.6.13716913.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+(-1+\\beta _{1}+\\beta _{2})q^{3}+q^{4}+(-\\beta _{1}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1682.2.a', 'trace_display': [-6, -2, 0, -3], 'trace_hash': 1000230104194384887, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.573', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '89.109', 'prec': 20}, {'__RealLiteral__': 0, 'data': '3.718', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2354.226', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.004', 'prec': 17}, 'traces': [6, -6, -2, 6, 0, 2, -3, -6, 12, 0, 1, -2, -3, 3, -27, 6, 6, -12, -18, 0, 10, -1, -14, 2, 4, 3, -23, -3, 0, 27, -17, -6, 20, -6, -9, 12, -12, 18, -10, 0, 15, -10, -1, 1, 18, 14, -8, -2, 1, -4, -11, -3, 3, 23, -18, 3, -19, 0, 19, -27, -15, 17, -33, 6, 11, -20, 21, 6, 11, 9, -9, -12, -31, 12, 1, -18, -33, 10, 2, 0, 2, -15, -2, 10, -19, 1, 0, -1, -2, -18, -22, -14, 1, 8, 18, 2, -43, -1, 4, 4, -9, 11, -45, 3, 55, -3, 3, -23, -26, 18, -37, -3, -37, 19, -18, 0, -22, -19, 15, 27, -13, 15, -34, -17, 0, 33, -9, -6, -20, -11, -5, 20, -18, -21, 0, -6, 7, -11, 3, -9, 5, 9, 12, 12, 0, 31, 0, -12, 5, -1, -35, 18, -10, 33, 0, -10, -45, -2, 12, 0, 34, -2, -29, 15, -37, 2, -20, -10, 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-31, 29, -120, 43, -103, 18, -47, 62, 255, 0, 108, 17, -144, -63, 119, 0, 62, -59, 217, -43, 200, -10, 76, -66, 17, 76, 109, 63, -70, 49, -2, -123, 165, -62, 52, -22, -9, 33, 0, 85, -185, -54, 192, 70, -63, -89, -66, 39, 117, 2, 172, -113, -51, 0, -190, 136, -157, -21, 220, -161, 54, -19, -130, -110, 17, 55, -192, 0, 85, -10, 11, -80, 50, -46, 85, 132, -120, -66, 92, 142, 245, -17, -133, -17, 188, -45, 2, -61, 97, 88, -51, 18, -105, 27, 133, -57, 0, 25, -83, 30, 151, -2, 273, -144, -270, 68, 52, 77, 165, -20, 18, -47, 344, 38, -317, 39, -186, 12, -217, 90, 41, 23, -45, -184, -97, 0, 180, 76, -293, 52, -132, -19, 196, 0, 240, -45, 170, -75, -286, 65, -157, -91, 62, -28, -192, -17, -188, -67, -65, 34, 98, -25, -62, 37, 0, -36, -115, 40, 108, 27, 65, -49, 99, -8, 88, -2, -121, -61, 47, -18, -61, -97, 89, -54, -251, 77, -120, -33, 5, -18, -182, -29, -27, 0, 212, 6, -62, 78, -226, -32, -159, -22, 390, -53, -330, 43, 69, 15, 51, 45, -3, -6, 103, 61, -123, -60, -86, 40, 69, -23, -70, -86, 0, -37, -147, 19, 161, 70, -329, -114, -293, 3, -130, 61, -180, 80, 79, -59, 54, 2, -159, -87, -81, 18, -20, -90, 17, -29, 55, 52, 184, 0, 158, -63, 29, -20, 88, -48, -61, 62, -135, 35, 37, 9, 46, 78, -116, -69, -166, 248, 16, -10, -31, -110, 52, 19, 1, 16, 72, 36, 0, -97, 177, 43, 62, 57, -98, -19, 117, -87, -94, -27, 40, 90, -229, -91, -17, 104, -189, 72, 7, 153, -13, 19, -157, 152, -15, -78, -232, 0, 31, -52, -31, -90, 42, 80, 189, 59, 87, 32, -96, 24, -258, -61, 76, -42, 124, 21, 116, 43, 58, 49, -75, -99, 39, -1, -116, -99, 0, -86, -51, -17, -195, -90, -5, 7, -84, -73, -216, 90, -65, 0, 85, 7, 154, -40, 138, -149, 169, -16, 55, 82, 183, -144, 162, 85, -220, 0, -7, 47, -197, -29, -98, 37, 1, 59, 114, -35, -19, 17, -121, 38, 195, -58, -6, 36, 139, -32, 126, 21, 43, -106, -139, -110, -244, 89, 0, -26, 213, 1, -9, -105, 180, 92, 95, 19, 70, -46, 141, 111, 167, 10, 18, -63, -103, -13, 137, 211, -26, -128, 106, 35, 83, 0, 56, 0, -103, -20, 99, 2, 5, 2, 210, -41, -153, -21, 42, -39, -155, 65, 21, -99, 43, 19, -42, 218, -119, 6, 128, 55, 69, 25, 22, 9, 0, 18, -242, 196, 43, -104, 9, -104, -66, 18, 29, 4, 58, 109, -103, -213, -135, -8, -120, 80, 110, -74, 183, -27, -81, 28, -104, -144, 134, 0, 83, 93, -185, -57, -143, -116, 173, -52, 79, -244, 163, 22, 65, 45, -101, 189, -182, -67, -111, -91, -65, 168, -236, 26, 123, -125, 106, -65, 0, 35, -56, -62, -45, 168, 98, 70, -88, -45, 142, -46, -68, -57, -367, 14, -37, -81, 186, -29, 104, 41, -54, -68, -57, 3, 169, 21, 185, 0, 25, 6, 114, -37, 179, 126, -237, 135, 155, -4, -91, -55, -52, -5, -197, 149, 171, -1, 79, 31, 123, -27, 95, 99, 114, -23, 53, -99, 0, -101, -27, 54, 213, -26, -81, 12, 100, 49, 483, -4, -143, -61], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [-0.7071067811865476, 0.0], [-1.325963399698762, 0.0], [0.5, 0.0], [1.584753065036376, 0.0], [0.9375977115321632, 0.0], [-1.5641662976848858, 0.0], [-0.3535533905932738, 0.0], [0.7581789373406991, 0.0], [-1.1205896387933874, 0.0], [0.5553112492325251, 0.0], [-0.662981699849381, 0.0], [0.9314959643220463, 0.0], [1.1060325959964388, 0.0], [-2.1013245617986667, 0.0], [0.25, 0.0], [-0.8539139428902923, 0.0], [-0.5361134679464189, 0.0], [-0.6252641374071514, 0.0], [0.792376532518188, 0.0], [2.074027261772477, 0.0], [-0.39266435000149147, 0.0], [-0.6369498738276311, 0.0], [0.4687988557660816, 0.0], [1.5114422771421883, 0.0], [-0.6586671130200213, 0.0], [0.320645878362494, 0.0], [-0.7820831488424429, 0.0], [0.0, 0.0], [1.4858608471216876, 0.0], [-0.1587179476038222, 0.0], [-0.1767766952966369, 0.0], [-0.7363223919233255, 0.0], [0.6038083395674679, 0.0], [-2.4788173344827236, 0.0], [0.37908946867034954, 0.0], [-0.8038033175643806, 0.0], [0.442128511593354, 0.0], [-1.2351295556581374, 0.0], [-0.5602948193966937, 0.0], [0.4708456141276378, 0.0], [-1.4665587411650853, 0.0], [-0.2808656228712205, 0.0], [0.27765562461626253, 0.0], [1.2015263947966954, 0.0], [0.4503915750594338, 0.0], [-0.29382093412872146, 0.0], [-0.3314908499246905, 0.0], [1.446616206813243, 0.0], [-1.0687510835392784, 0.0], [1.1322586347649866, 0.0], [0.46574798216102314, 0.0], [-0.9103757130040102, 0.0], [-0.22673087494963634, 0.0], [0.880031204270423, 0.0], [0.5530162979982194, 0.0], [0.8290773613461003, 0.0], [0.0, 0.0], [0.7972847274468732, 0.0], [-1.0506622808993333, 0.0], [-0.23373700894730473, 0.0], [0.11223053704667382, 0.0], [-1.1859179414028624, 0.0], [0.125, 0.0], [1.4761910845283777, 0.0], [0.5206585564684822, 0.0], [-0.016907644261638204, 0.0], [-0.42695697144514616, 0.0], [0.8445722201381833, 0.0], [1.7527885465354962, 0.0], [-1.5556385206603611, 0.0], [-0.26805673397320945, 0.0], [1.8008785471941036, 0.0], [0.5683747765900174, 0.0], [-2.0041171402478946, 0.0], [-0.3126320687035757, 0.0], [-0.8685991407748077, 0.0], [0.8733684844497962, 0.0], [1.7865481698161019, 0.0], [0.396188266259094, 0.0], [-1.1833436363136274, 0.0], [-0.33293812664159717, 0.0], [-0.005152329665280922, 0.0], [1.0370136308862385, 0.0], [-1.3532427382726877, 0.0], [0.1986019865344235, 0.0], [0.0, 0.0], [-0.19633217500074573, 0.0], [0.38154468545636305, 0.0], [-0.8496074615353683, 0.0], [-1.4570145938220278, 0.0], [-0.31847493691381557, 0.0], [0.21045418939797408, 0.0], [0.20776277497698484, 0.0], [-0.9908892582133089, 0.0], [0.2343994278830408, 0.0], [-0.5317931061939377, 0.0], [-1.0229121296120052, 0.0], [0.42102529283645196, 0.0], [0.7557211385710941, 0.0]], 'angles': [None, -0.3653546460704142, -0.10442177751285785, -0.39292140066900005, -0.2052212923194397, -0.17289266412378862, -0.320207212041378, -0.3006053416041161, -0.3015853349473901, None, -0.2626436680313181, -0.31582531749158654, -0.2121762580397912, -0.2724246998487005, -0.2734664605544929, -0.3252139497137441, -0.18474074034470392, -0.2686428035736068, -0.2513454836067679, -0.39183705642110017, -0.07162258889864509, -0.07420112545389233, -0.25041000982084866, -0.21945038705595216, -0.2928339803551165, -0.3296954363766068, -0.39181665495790025, -0.40401282572775077, -0.45346045096877047, -0.33660411186791617, -0.23397533373535662, -0.2695056414854984, -0.24819462913899493, -0.2937431113668767, -0.18020334843806687, -0.17719767911610312, -0.46211903126484977, -0.3377715038226179, -0.313533443340398, -0.3569877262719277, -0.1984827464798737, -0.1988448622273683, -0.42225475998387735, -0.27845236305852916, -0.24583100707411945, -0.2574679946209191, -0.26671781817027246, -0.2966325093202858, -0.25247106341145825, -0.40741021053254717, -0.17835034290153604, -0.1628856995905075, -0.3295544724184396, -0.24817453366707265, -0.22472256148575656, -0.19553852732766175, -0.0964072944978574, -0.3206064643754118, -0.18602101633001256, -0.08286686329840146, -0.1554954288887618, -0.2220812526741288, -0.19869953228501247, -0.2480795843836253, -0.18771959515964617, -0.1835087013351985, -0.2922095429515746, -0.3178431366136487, -0.15129794699504032, -0.38957662277737104, -0.1824789118577827, -0.3613803670717366, -0.2976763798037166, -0.4230261035679406, -0.23532401232914393, -0.36572896420759177, -0.21959969451142664, -0.2986504438684177, -0.2356491904484685, -0.17350017424559266, -0.09821617258656595, -0.28089526387167585, -0.22903943225677204, -0.43579483995654333, -0.2055098984029323, -0.3611708528987152, -0.26377065804203903, -0.10928678260196466, -0.11056553361393404, -0.13142507514418625, -0.3090392483370672, -0.23598883241577348, -0.13753087539242514, -0.3158681023656411, -0.15846435040151424, -0.1803615507899643, -0.3051945725211334, -0.26683724161386446, -0.16243449230473497, -0.24229050987558884], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.7416778451676438, 'hecke_orbit': 17, 'hecke_orbit_code': 72057594071484050, 'label': '1682.2.a.q.1.2', 'level': 1682, 'weight': 2}
• mf_newspaces •

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

  
  {'ALdims': [15, 19, 22, 12], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [14, 15, 15, 15], 'ALdims_old': [27, 33, 27, 33], 'Nk2': 6728, 'analytic_conductor': 13.43083761997936, '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': [1682, 1, [843], [1]], 'conrey_index': 1, 'cusp_dim': 188, 'dim': 68, 'eis_dim': 59, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 33556114, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 3, 4, 4, 6, 6, 6, 6, 8, 8], 'label': '1682.2.a', 'level': 1682, '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': [2, 29], 'level_radical': 58, 'mf_dim': 247, 'mf_new_dim': 68, 'num_forms': 22, 'plus_dim': 27, 'prim_orbit_index': 1, 'relative_dim': 68, 'sturm_bound': 435, 'trace_bound': 5, 'trace_display': [0, 4, 2, 4], 'traces': [68, 0, 4, 68, 2, -2, 4, 0, 66, -4, 4, 4, -2, 0, -8, 68, -4, 8, 8, 2, -8, 2, -4, -2, 70, 4, 4, 4, 0, 4, 0, 0, -12, -12, -4, 66, 0, -14, 8, -4, 0, 4, 4, 4, 14, -4, -24, 4, 76, 8, -12, -2, 2, -20, 0, 0, -32, 0, 2, -8, 4, 4, 0, 68, 4, 0, 14, -4, 4, 8, -8, 8, 8, -18, 8, 8, -8, -16, -8, 2, 52, -4, -6, -8, -20, 18, 0, 2, 16, -16, 4, -4, -8, -4, -24, -2, 8, 0, 0, 70, 0, 20, -8, 4, 16, 12, -6, 4, -14, 0, -24, 4, -12, 24, -12, 0, -26, -4, 8, 4, 74, 10, -12, 0, 0, -16, 0, 0, -4, -8, -24, -12, -16, 8, -32, -12, 32, 4, 10, -4, 32, -4, 0, 66, 0, -24, -12, 0, -26, -22, -20, -14, 40, -12, 12, 8, -40, -24, -8, -4, -8, 8, -28, 0, -8, -4, 16, 4, 78, -4, 48, 4, 6, 0, -12, 4, -12, -8, 14, 14, -10, -8, -16, -4, -32, -12, 12, -24, -8, 12, 8, 4, -24, -12, -28, 76, -34, -18, -8, 8, -24, 14, 0, -12, -8, -20, -8, -2, -24, -32, 28, 2, -4, 0, 32, -20, 0, -4, -48, 0, 20, 32, -20, 0, 4, 16, -30, -32, -24, -4, -16, 0, 16, 16, 20, 2, -40, 12, -36, -8, -44, -8, 16, 4, -42, 8, 24, 4, 4, 12, -20, 0, 12, -24, 4, 68, -44, -32, 0, 4, 0, -18, 8, 0, -12, 8, -64, 14, -20, 4, 0, -4, -16, -20, -8, 4, -38, 20, -24, 8, -44, -20, -22, -8, 44, -24, 0, 8, 0, 0, -56, 8, 20, -14, -40, -18, -40, -12, -24, 8, -8, 8, -8, 8, 20, -28, 36, -8, -4, -24, 8, -16, -52, -6, -88, -8, 12, -32, 0, 2, -8, 8, -48, 52, -50, -10, 8, -4, 48, -12, 20, -6, 64, -20, -28, -8, 28, 8, 12, -20, -32, -66, -64, 18, 4, -8, -38, 0, 18, -16, 32, 2, 8, -8, -24, 16, -28, -4, 16, -16, 14, -20, -32, 4, -40, -20, 48, -4, 16, -4, -52, -8, 6, 28, 0, -4, 0, 12, 8, -24, -68, -12, 8, -2, 0, -20, -64, 8, -16, 0, -32, 0, 8, -16, -36, 0, -14, 8, -4, 70, -64, -16, -12, 0, -30, 0, -36, 20, -52, -12, -124, -8, -36, 8, -44, 4, -20, 8, -10, 16, -4, -38, -40, 12, 48, -8, -8, -6, -44, -40, -48, 4, 32, -40, 0, -14, 0, 40, -44, 0, 34, -20, -16, -24, -8, 52, 24, 4, -12, 16, -24, -12, 32, -36, -68, 24, -32, -14, -128, -12, 28, 0, -24, 0, -80, -24, 4, -26, -64, -68, 36, -4, -52, 36, 32, 8, -74, 20, 16, 4, 32, 0, -8, 74, -16, -22, -20, 10, 20, 12, 28, -12, 0, -36, -24, 0, -52, -24, -6, 0, -68, -46, 0, -16, 32, -12, -24, 0, -58, -28, -16, 0, -116, 8, -68, -4, 16, 20, -48, -8, -48, 0, -78, -24, -16, -36, -4, -12, 56, 8, -46, -16, 8, 8, -40, 8, -52, 10, -12, -32, 16, 12, -32, -12, -32, -16, -78, 32, -40, -50, 0, 4, 16, 16, 32, 10, -22, -4, -32, -4, -12, -40, 20, 32, 60, -4, -32, -4, 60, -72, 30, 0, -60, -16, -36, 66, 36, -48, -20, 0, -44, 16, -32, -24, -8, -66, -54, -12, -24, 12, 24, 0, -72, 24, 40, -26, -16, 4, -8, -22, 8, -68, -62, -20, -86, -32, -32, -14, 0, -20, -20, 40, 6, -54, -36, -12, 0, 16, 4, 12, -20, -20, -32, 8, 40, 16, 24, -40, -156, 32, 532, -24, 440, -6, -32, -8, 534, 0, -60, -4, -28, -16, 494, -8, -160, 32, 4, 8, -4, 8, 500, -28, 40, -24, 24, 0, 80, -24, -36, -8, 478, -2, -116, -4, 48, -58, 0, 16, 52, 24, -76, 4, 504, 8, 56, 78, -20, -60, -16, -4, -36, -12, -66, 48, -48, 0, 536, 4, -48, -32, -10, 6, 0, 20, -12, 0, -76, -4, -76, -12, -106, -60, 440, 4, -172, 24, 0, -12, -90, 4, 72, -8, 12, -40, -12, 14, 60, 12, 12, 14, 524, 64, 68, -10, 0, -2, -40, -8, -6, 0, 44, -16, 24, -16, 24, -4, -40, -44, 4, -32, 400, -24, -16, -12, -68, 20, -42, 12, -68, -60, -64, -24, -64, 0, -44, -8, 20, -74, -88, 12, -136, 32, 508, 8, -56, -48, -60, 4, -28, -40, 76, -24, -8, -30, -24, -12, -64, -10, -92, -28, 4, -64, 0, 76, 48, -24, 498, -34, -128, -32, 24, -18, -20, 36, -20, -8, 20, -48, -112, 8, 16, -32, -72, -24, -56, -40, -8, 14, -24, -28, -54, 0, 516, 32, 48, -12, -16, -44, -52, -8, 22, 48, 32, -20, -104, 8, -36, -8, -12, -4, 40, -2, 12, -56, -148, -24, -48, -4, 0, -32, 0, 344, -12, 28, 348, 52, -92, 2, 4, 410, -32, -4, -44, -56, -144, 0, 386, 12, 76, 32, -88, -52, -20, -20, -96, 386, 44, 0, -32, 0, 508, -4, 32, -24, -84, -48, 352, -28, -188, 0, -84, -24, 18, 20, 36, -26, -32, 32, 0, 418, 12, -20, 32, -44, -104, 0, -4, -4, 0, 4, 92, 8, 440, 16, 298, -60, 0, -30, -64, 16, 16, -32, 12, -8, -168, -24, 48, -4, -96, -4, -172, 364, -48, -16, 64, -20, -4, 0, -60, 24, -24, 16, -68, 22, -48, 16, 468, -16, 84, 20, 344, -48, -8, 2, 64, -40, -84, -40, 40, -82, -80, 12, -92, -16, 8, -36, 0, -36, -64, -8, 40, 370, -74, -44, 16, -44, -72, -8, 96, -12, 80, 16, 460, 24, 40, 4, -100, -48, -104, -42, -102, 6, -88, 8, 334, 0, -224, 24, 44, -56, -116, 4, -92, 8, -80, 4, -24, 12, -224, 12], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 47992362
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594071484050, 'source_is_minimal': False, 'source_label': '1682.2.a.q.1.2', 'source_level': 1682, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 72057594071484050, 'target_is_minimal': False, 'target_label': '1682.2.a.q.1.2', 'target_level': 1682, 'twist_class_label': '58.2.d.b.7.1', 'twist_class_level': 58, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47992363
    {'conductor': 29, 'degree': 6, 'order': 14, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594071484050, 'source_is_minimal': False, 'source_label': '1682.2.a.q.1.2', 'source_level': 1682, 'target_conrey_index': 25, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503805819355194, 'target_is_minimal': True, 'target_label': '58.2.d.b.25.1', 'target_level': 58, 'twist_class_label': '58.2.d.b.7.1', 'twist_class_level': 58, 'twisting_char_label': '29.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47992364
    {'conductor': 29, 'degree': 6, 'order': 14, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594071484050, 'source_is_minimal': False, 'source_label': '1682.2.a.q.1.2', 'source_level': 1682, 'target_conrey_index': 7, 'target_dim': 12, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503805819355194, 'target_is_minimal': True, 'target_label': '58.2.d.b.7.1', 'target_level': 58, 'twist_class_label': '58.2.d.b.7.1', 'twist_class_level': 58, 'twisting_char_label': '29.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 47992365
    {'conductor': 29, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594071484050, 'source_is_minimal': False, 'source_label': '1682.2.a.q.1.2', 'source_level': 1682, 'target_conrey_index': 1681, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028865771996818, 'target_is_minimal': False, 'target_label': '1682.2.b.i.1681.2', 'target_level': 1682, 'twist_class_label': '58.2.d.b.7.1', 'twist_class_level': 58, 'twisting_char_label': '29.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 47992366
    {'conductor': 29, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594071484050, 'source_is_minimal': False, 'source_label': '1682.2.a.q.1.2', 'source_level': 1682, 'target_conrey_index': 1681, 'target_dim': 12, 'target_embedding_index': 11, 'target_hecke_orbit_code': 36028865771996818, 'target_is_minimal': False, 'target_label': '1682.2.b.i.1681.11', 'target_level': 1682, 'twist_class_label': '58.2.d.b.7.1', 'twist_class_level': 58, 'twisting_char_label': '29.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 47992367
    {'conductor': 29, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594071484050, 'source_is_minimal': False, 'source_label': '1682.2.a.q.1.2', 'source_level': 1682, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 85568392953595538, 'target_is_minimal': False, 'target_label': '1682.2.a.t.1.5', 'target_level': 1682, 'twist_class_label': '58.2.d.b.7.1', 'twist_class_level': 58, 'twisting_char_label': '29.28', 'twisting_conrey_index': 28, 'weight': 2}
  • id: 47992368
    {'conductor': 87, 'degree': 6, 'order': 14, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594071484050, 'source_is_minimal': False, 'source_label': '1682.2.a.q.1.2', 'source_level': 1682, 'target_conrey_index': 199, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525884619915786, 'target_is_minimal': False, 'target_label': '522.2.k.h.199.2', 'target_level': 522, 'twist_class_label': '58.2.d.b.7.1', 'twist_class_level': 58, 'twisting_char_label': '87.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47992369
    {'conductor': 87, 'degree': 6, 'order': 14, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594071484050, 'source_is_minimal': False, 'source_label': '1682.2.a.q.1.2', 'source_level': 1682, 'target_conrey_index': 181, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525884619915786, 'target_is_minimal': False, 'target_label': '522.2.k.h.181.2', 'target_level': 522, 'twist_class_label': '58.2.d.b.7.1', 'twist_class_level': 58, 'twisting_char_label': '87.35', 'twisting_conrey_index': 35, 'weight': 2}
  • id: 47992370
    {'conductor': 116, 'degree': 6, 'order': 14, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594071484050, 'source_is_minimal': False, 'source_label': '1682.2.a.q.1.2', 'source_level': 1682, 'target_conrey_index': 65, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31526571814683088, 'target_is_minimal': False, 'target_label': '464.2.u.h.65.2', 'target_level': 464, 'twist_class_label': '58.2.d.b.7.1', 'twist_class_level': 58, 'twisting_char_label': '116.35', 'twisting_conrey_index': 35, 'weight': 2}
  • id: 47992371
    {'conductor': 116, 'degree': 6, 'order': 14, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594071484050, 'source_is_minimal': False, 'source_label': '1682.2.a.q.1.2', 'source_level': 1682, 'target_conrey_index': 257, 'target_dim': 12, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31526571814683088, 'target_is_minimal': False, 'target_label': '464.2.u.h.257.2', 'target_level': 464, 'twist_class_label': '58.2.d.b.7.1', 'twist_class_level': 58, 'twisting_char_label': '116.63', 'twisting_conrey_index': 63, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2128825
    {'charpoly_factorization': [[[1, 1], 6]], 'hecke_orbit_code': 72057594071484050, 'p': 2}
  • id: 2128826
    {'charpoly_factorization': [[[-64, 32, 52, -17, -13, 2, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 3}
  • id: 2128827
    {'charpoly_factorization': [[[-29, -28, 66, 0, -17, 0, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 5}
  • id: 2128828
    {'charpoly_factorization': [[[-64, 96, 76, -39, -17, 3, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 7}
  • id: 2128829
    {'charpoly_factorization': [[[-64, 48, 96, -11, -26, -1, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 11}
  • id: 2128830
    {'charpoly_factorization': [[[-7, -49, 147, -27, -25, 3, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 13}
  • id: 2128831
    {'charpoly_factorization': [[[-1259, -1034, 838, 224, -53, -6, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 17}
  • id: 2128832
    {'charpoly_factorization': [[[-3584, -4032, -1288, 55, 101, 18, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 19}
  • id: 2128833
    {'charpoly_factorization': [[[-2752, -5712, -3432, -707, 1, 14, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 23}
  • id: 2128834
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 72057594071484050, 'p': 29}
  • id: 2128835
    {'charpoly_factorization': [[[1856, 1328, -1144, -267, 58, 17, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 31}
  • id: 2128836
    {'charpoly_factorization': [[[8273, 4042, -1348, -676, -27, 12, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 37}
  • id: 2128837
    {'charpoly_factorization': [[[-9653, 11417, -4767, 729, 19, -15, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 41}
  • id: 2128838
    {'charpoly_factorization': [[[-64, -48, 96, 11, -26, 1, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 43}
  • id: 2128839
    {'charpoly_factorization': [[[2752, 176, -2008, -895, -83, 8, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 47}
  • id: 2128840
    {'charpoly_factorization': [[[-5977, -3503, 1791, 189, -85, -3, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 53}
  • id: 2128841
    {'charpoly_factorization': [[[-3584, 5824, -2800, 335, 76, -19, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 59}
  • id: 2128842
    {'charpoly_factorization': [[[9857, 2927, -2967, -951, -13, 15, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 61}
  • id: 2128843
    {'charpoly_factorization': [[[-64, -336, 832, -567, 163, -21, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 67}
  • id: 2128844
    {'charpoly_factorization': [[[60992, -52944, 13484, -447, -192, 9, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 71}
  • id: 2128845
    {'charpoly_factorization': [[[-700517, -412379, -81469, -5615, 121, 31, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 73}
  • id: 2128846
    {'charpoly_factorization': [[[-337408, -4736, 24832, 248, -328, -2, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 79}
  • id: 2128847
    {'charpoly_factorization': [[[-448, -9296, 5292, 125, -225, 2, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 83}
  • id: 2128848
    {'charpoly_factorization': [[[-11243, 4225, 5568, -675, -286, 2, 1], 1]], 'hecke_orbit_code': 72057594071484050, 'p': 89}
  • id: 2128849
    {'charpoly_factorization': [[[-190568, -90132, -4928, 3345, 642, 43, 1], 1]], 'hecke_orbit_code': 72057594071484050, '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': 17, 'label': '1682.2.a.q', 'level': 1682, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEzMj42rz9wAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7L13vGTpXd75fcM5p+LNnafD9Mx0T85JcTRKyAhZAkmIbIwBGww23vWSdm0wxghhks2CAQkEMhIWEkJCKI/SzGhyjt09nXP3zZXrhPfdP96Tqu7tkc3KHsRufXRU99a9PbfqnOc87/N7fuEV/P+Pb9jjo5+8BynFpqcPHJ+0ibVbZz18T/LokQ6vvnZG3H5lY/HuxxK2zi7N3nTFKfvkgW1UfMmm2R6NeiKMvGwV7LnZra8C2AKsAH0hxEv90b5pH/qlfgPfLI+DR88CXGxMsskiTK8f8pcf+ysu23qaXVuWqCifwyc/Fi3bG3+x313+Ni1sdOqsz6YZQdQb0FmN/VOnFv7oxCmBSAb/5MRENzxzboEts3B8EDLRSLxBfPRv/vOf7vvF505+XPz2v/vh95w7deQjlfjJR7ur+5UlACGkkt454Ei1sfWlPiXfFI//nxou8Nh3cB5EZUrbI6/uLj+FEjI6tTz5rzoD+QYpLGEU89hjT9CornDp1hYrHcWJ81UwQ+IoZrpp2X/C56qLE87MS6YnYpr1gENnNImJmGsITi9GXL3b8MIJycyEwfd9KhXNkXnJShf2bIy5bMc0e6+4FouHVtAL9Rf2HRn8VmyNd+crruKyi7fdjRmuCLXxpT5lfycf/z/A08fKygLAt9Trw0uOHu2YX/qdvzDf/caJi7vDjT/bbR+iXvE5duIsrfYiYaRZ7kkS61PxLM3Acr4d88KZAVtnKkxWFUpEzE34XLZd0RuAkENOzWsGIZxeFCh8+sOIS7ZbNk13kUjqtZDNGzrsPzbD0kqVeiUh0BG9gaHVVYRxzNT0HPXGVpQOueqyXTy5f/FXb7303JHte79fRmJSbpnTh4DPTUzMvtSn9O/E4//zAH/myXuRQrx6tRW+8bkji+/Yu2t+77Dj88cfP8BtV62yMK85vtBj26yiFsDcpOHUcoCSFikMW6YSjp+vUK9ZHj00pDcUVHxYXIWL5zS1asCmuZhXX93muSMTPLpP8PzxmJddlbB11lCvC7ZvWmFhRVEJoD+0PL5/lkZVcvi8z+bpAVKArxLOLikm6jGShK0bIhaWGvSt4Y5rG5xYvYJKLeEV107un1/Z8NHYyM8Lwd2vf90dL/Upfkkf/58DeLu9SqVSmZ6fX/iV93/oC/6+Y88nP/itlRtXl5s3ffjz59i44Rh3Xlvny49M0jOrvOFGzb1PVth9UZ9u3+PMsmIYCQIdc8VFCRunhyx1JE8eniCKBZdtHXC+o7hmd58Xjnq0B5pwCLdc0eXAyRrNasi+U5rb9kjCaEh7oHnymOT6nQmtjscl20LCSPL0EcFip8LmKdi7vYOvJWEEZ5c9OsOYS7d4fPUJy2tv7jLsT/KZh3q8+sZVrrt4O48d2sLyoPfot79q+bHZ6evU5ovfGDYnZn4+jsPlqcmJl/oS/C99/L0H+LFjx/E8Lf76M/fysuuG6pLttd87cUbvefTJM6+85+GT6vD5Rd71ulU2Npp86ZE6Txzt88/fvkK7tZHPPWzYvq3HpkaV88sxWzbAU4cUkQWBYtt0wo17Oix3BN1BheePaK7a3cbzfTo9iRSCvRcZnjpoWGhX6UUdrtsd0u1PsNwWPPmCZM+OGCMEqz1DNbBcu1Py7BFNP4xYaStuvMyyaSZCiZg48Xj8sM9FGyzzi4rZ6TY7N9b5wkMerXCFf/42xaPPTvK5hwds397lB96gWW5dxEJnU1KZ2HbvSlg5MFFp/fjNl4pk265XYkxsN2+56KW+RP9TH38vXZTFhXNIpWS/26687/d/afj9P/Tz/zpJku//9+89HP3v7zp4uW8nK50Vn6qGXkfyxEH4vtd3ufqSBmeWKtz1qM93vHKV63bP8KUnfC65qMemyQbHzsTcsjdk/0mfyXoESJ49VmPLtGFpRXPfcwn3HYRrdliuuEiy3BHc+7zkzqsiJuuKlU6Dk2c1q22L8kJ+4E0rHD/XZLUjuGHPgGsuWcBjinOLc5xcgCt2Gvqh5Oi5gKmaZt8pyZ6LoNOR7NmxyK4tFb70iM+xpT5vf7Xh/OIU+49Da5hw7e4hylY4fLzL80f3qcMLR+6oTfRu+5Ufbtxikpu84XDwX//ZT/78rx84cDCYmpwYxElstm79++fM/L1i8DgxCCkk8fLk4vzR27s99d6DBw/HTzx9YOa5A2ebTx2LaU4t8XPfNcQmW3j6hSpPvhDxwvk+b7y9xSsur/PUgUnufjpkcqbLt79c8sz+Bvc+2+fy3THbpqtg+wgt8KTm0FnNhmZCa2hpVIYcn0947mRCQ03xhpu7rKw2eOh5y1W7BJduT0hiwYkFjyQxXLpNcOXFEQ89J1ju9nj9TZJq/QwHjjU4dnaKWiDo9DxmJ2IOn/Xx9RAlFdZoLtq0zJU7FPc8McWjRyLe+uoWG+uT3PN4hSeO9rjtuhW+9WafQ8fnePKA4ekjEQPZ5We/Z4EN9Y3sPz5LJ9zQntu0a+nii3frXiR/5PK9lzywebaxCtYIIV/qS/kNe/y9YfD5+UXOzy/svPexE9t2bk4+utn7zMShg7364eMJg66k4sHGhuXJY5Pct+8cb7t9heWWptXVtPsBH/1SnZlGm2su0wzCOl971vLx+3q8/ZUtKpUGjx/02DLTZabpc/K8pt1P6PX61Dd6REYzXVdsmZK86qo+TxyM0VIQ+DFBLebRI4p6w2PbbMgwhq0zcP2eBVo9zTCeIjKaZ45JnnphB4GqEPgJenJIfwgTzT67gHbX5+R8wsxkj7mJBp9/yOeZEyFvu6PLtskm9z1V4emjA67YvcJ3vybhhWNTHD4lODUfc2Y14c13tLlye5XnD9dYaVtOnT/bfOiJY81O+DB6ZutH/uO/HrRCL3lHrPae6nWXj9Xq0y/1Jf2GPL7pAW6tBdhzzz33bgkT+Qf3Pbj/0l+4/2vqD//VaTZPb6TTnSI2Af2hpjMw7OzDBz4/zZaZJW6/TNMbzDKMPPphjYeeDwmjFa65DAK/xsP7FR+7p8VVO1d55TV1Dp5ssrA6oOrHzE0ZLtuqOLukWG5J2p2ERnVI4Htsmws5es5Dyz5ve7nmsQMel+9YZXKyzacfr9HuB8xO1Hn8BZ8rLu4wM+FxbF6wdc6jUomYqiR4WiKl4NF900zUe1T9IZdcpPBlla89banVVnn7HdDwJvnyIz77T/W5Zu8y1++Gk2c2se+Ix7EzEc+dstx09Qo/+PqI0/ObOb8csNyClXbMUsvy/JketaWH66vH7qoz86a7Y60OLreSf2qtPQMc+GbPon7TAnxpeRmt9KXPPffMtb1u718eOXL01V978FmeeGGFlU7A+z5V41+/c5VtG32GkWIQegyGHv2hpXumyqcfqvOyK5e4fo8CprDW48lDU/zJgS5vv7PN7ZdHzE7WeXTfFF94aMDm2QF7dwg2TGgOn/HoDSK6PWh1BVpbts4moCRShvR7krMrFTBVNkyEXLK1x31PBwyJ+fZXRCRhjUOnJHNTmq0zAmNiFlY07cGQfuTT6fpcNDtkpjlAKYnWgijSHD4Fc1M9brsmZsuU5oXjE3xtP5xZ7nDTNR2+646Ek2c28cSBgAPHY544khCJDm++ZcCgP8up8zXOL0sWVyMWWwknlgQEQ37irStUdYVDB55QZ5fP7q1NXf4Vi3d3rVr9T51O+6k4jg9OTX1zMrp6qd/A3+Zx9swpAt/feeTIgd88eHD/LzzwwAM7Dxw8TK8fIpAMBpJnjnls29Ti5VdGRHFAHCuM1Vgr0BhOnPM5tmjYubnNpimoBRUqnkahefKw4tzqgGYz5Mpdhj3bAjrdCqcWBL6OiKzizIrHmQVDOxRordk4GXN+xXDsrM9UQyLQbJiOWO5Yrt45QMoaZ5dqXLY14IXjAScXLVfsHHJ+WRLFHv1QseeiCCEsnZ5k42TM3PSQDdMhnoRWTxEEcNk2wcpKgy89VuXgmQHT0y1ec2Of2/YEHD6xgScP+Dx3JObIQkhjssUPfUuXK3dMcPzsJCfOeZxZSDi/FHFiEV6Yt7zlFef5oW9J6HSmOb/cZH7ZcPjIGQ4dPrYzjJJ3JYnZMTMz+8BP/uRPrv7mb/7mS33p/4cf31TrT9jdj+dV5lorZ/7lC/ufvvrkmd7bDrxwjDDWdAew2o5YXI05t2I5siSYmW3xs9+5yC2X1Tl2ZpYT56qcmlecmU84cS7iyIJB17q8/ZVd3nyLz4lzM+w7GnDolGHfiYhEDrhoQ8jLrjbs2CA5ca7OyfOS5bZhEBukhKkGzE3ELLc17a5iqhmihWaqmVAJIh7aF3DxJsPcVMzZxSqeMpxeMmyYsly8OeTBfQG+r5hpgFIRs3VY6QqWuoINTcN0M0JKGIaK5bbm+HnNiYWYHZsG3H51zLY5DUmN/UdrHD5lef54wvGlId/y8hW+45VDqmqKY2enOHZGc2Y+4cxixMkFy4EFy81XLvAz72yzYWKKU+enOLtYZX5Zs9K2rHYiOt2QbRftQvoTH7/plpuf2blz23/q9/sLt16z66WGwn/345uGwe3q76Lk8WbSe/K/rM4/8s+W5k9e0Wkt4vkeQkiMlRgjMMaCNUgDx85XePSQ4NJtLa7YkQAeoJBSo5UkUJb5RY/9pxQD02fvjja7txrmpjSbpnx8EbDUCjh5TnD0rODpY3DsbMjCypBWJ2EQeVR8n7mGZeuGCCES+kPNzk0RnrJERhAlPkttSX/o4WuBsIa5ScPsRMJyO6DdFwxij5WeYNOEYallOHFeUfF8Nk3DtrmQjTMDNswM2TQzZNtGy/ZNissv8qiqOkdPNHnwWZ/HX4h5+nhEojp86ytavO1llqqa4YXjkxw9ozk9n3BuMeLEguXQouWmKxf4N9+7wkUzE5xemGJ+pcJyS7HaFbS7CZ1+QndgOXhsgYMnVi9/dP/8Kw+dOrfz6On5z9/62u8I7//CR19qSPx3Pf5OM/jqaotBZNGSd9//xKGX/cx/+ph8+22HX/Yv33pWn1/azOJqk+V2hZW2x0pbsdKB5VbCSitiqZVwdhUOLwrm5lb5d9+/xM2X1jh5fpoz83XOLGrOL1nOLcacWkiY78RMTg94+dVdbt0LvqwSqIDzyxXOLmrOLQt6Q4hjQ8U31CsJUxMxBjh+LqbdhR0bPerVIdYKED7dvmH7piFLqxqskyKrXRjGYLEst0K2bvDo9BVCWYQZ0qx4bN88YLUnOH5GkxjNTFPSqAgCD+JY0BtKzi1Lzi5Zzq/EBMEAvJjbrujysisFc80qSytNTp4POLMI5xdjzi/HnF6Gw0uWG69Y5Je+f4VNk01OnJvm3GKNhRWPxZZkuZXQ6kSsdhNaXctSF061BPOLXX7jpwbx97yhcr+e/lHj1a64H+zPgaJSbb7UULng4+8sg3/603/DNddcw8/+9L/+Dx/75Ff+tz/58Jcu2Xe8tfOF03358qs67N6SkCQad48KQGKRgHTfC4sWlkDCmeUKDx1UXL17mb0XDahVwNMS31P4vqZeldQ8Sa/rceBYhS8+7nN8fkg7jjhwcsjGmWXe/PIVrr6kw417WxxbjFnsCWrBgCNnLK12nasulqwOEvYdUzRqmueOw6VbLIMwYZD4aB0x1YD9JwOUTvBkjPagP5TcvLdHvye5+pKEdj/h+JkGuzYp6rWQ1aFlw2SPlW6bv/gKPHk04emjA3ZsWeKaPW2mpkPedFuH73iVZfemBkk0ydHTExw+5XHynOHUfMSp+YTD84ITqxHXXrbAv/v+DhsnJzl5bppzSzUWVz2W2oKVtqHVjWil4F7uwLmuZL5luGHPIv/s2xalL+TOkyfP7Gq1k1vqEzuq9cbUlz79qU/xwQ996KWGzLqPv5MM/ulP/Q2bN2xSx04e+7dHj5/5Px964rA6cW7I+Y7iZAf2XjTPb/7Tea69uMa5xSmWW7WUyTXLbc1KG1baCSvtmOVOzGILTq4IdHXA7Vcu852vCtm1oc5qt8n8cpWFZZ/FlmC55STCSsfQ7hvaQ0tvEDPTjNi+0QCCwLOcmvcQMmDHBsWuLZYtG3qcXxny1MEGN1xqqVVXePbQNI16SBh6zEwZ+gO4fPuAD31lkj0XxQyHltkJSZT0aVQCnjs2oOrVue6ymKePhJxf8tk6E7BrM2zfFKJUxKlF8D2LEJYdG2OmGpJOP6Db82j3PJbbiuVVWGoZllsJi62Ecy1YGiRs39rlO1+9yO17NRWvydnFJosrFRZXNUttwWrLsJoy92rHstJ14D67mnDTnvP86o8ss3tzg/mVCeaXaiy0JjD64iSobvwPF1207ZcWFuaTb33zW15q6Kx5/J0C+MGDL1CpVKqnTp3afmD/gXeeP3/ulw8eOUmra1huW5Y6cLYjOdFKuP7ieX79Rxa55uIa8yuTLK3WWOlkcsWBvNUxrHZiVjoxy23L+ZbgTNeC6PK2V7R4082GizdXCMMaK60Kq12fVkex0hV0eoLB0BLGliQBJS2BB9XAMtm0bJiO0N6Aw2dDnjkUYOI6b7wlRHurPLZvgp2b4bMPx7ziqoD5Vp+KVsRJxPQUxJGH9mKWlmq8/Po2n32gwa7N8OjBIR413nCzIRZ9njmccPRUBS19Nk5ppuqCaiDwfYESEBsII8sghE7Psto1dHqG1Z5hqWvpJwk7tvV4060t3vayEEyDpdUJ5perLLU8RwYtWO0ktLoxq52E1a5lpQfnOor5dsINl57nPT+6wOXba5xfnmJptc7SaoWFVY/zi1BrbmZ2buP/demll31k85ZtJ4bDQf+yy/a81FDKH39nAH7o0CFmZuf8Y0cP/uChQ4d+76knnxbdbl8OQkOnn9Dqugu30hWc6ypOdyJuumSe9/zQEtdfWmFxZZLFVp2VdkCr47PS0ax2BK2OpdVNWO3EtLqGla5lviM42zJMTfZ43Y0dbtsbs2Ojoln1aHcqBJ4EFGGcBq4WegNAGKYaAw6ethgbctejdYa9Kpds9bn96h6RWeWexye57lKPg+e6tFaa3Hp1jy89FrBx2rLvuOWfv7XNvmMBG6clX3xccfvliuVemyMnp7nuspB7nukTD2vcdoXP7osG9OMuX3hMQSI4fErTrGm0gF5fYqwgMZYoBqRB+4ZW11JvRFy0ecjLLu/xuhtiZuoVzi9PsLRaZaXtzs1KW9DqQqsT0+7GrHYNrZ5huSc51xEsdhJu2TPPL//wAtfsrDC/MsVyq85qJ2C57bPa0bS7ku7AolRg9lx+ld29+5Ifv/TSS/9kYWEhvOSSS19qSAF/RwA+GISy3++/+XOf//wlWia/9uSTj3hJIogTwTBM6A0Suv1UNvQtqz3B+Z7idCvhtr3nefcPL3LDxT6rnSYLKw1a3QqrHZ/VrqbVUbR60Ola2r2Ydtf9t1o9y0JXsNCFKBlyzaV9Nk0ndHuWb7l1yM5NhjiRaGkJI7j7qQon5itsnop59nAFTI292xTX7zEElR6PHeyxsFjnyp11mpMrPPC0x02XVljqrbKy0mTTJsvD+xTf85ouj+zTbNvgsdhtsbI8zfWX93jg2YTp6iRXXtJlvtXi4ecnqeo6N+6xXLZ9ALLLU0cFG6Yjzi9E3POUxyBSSAmJsezcHPK6W0M6XcWWKcP1l0IY1px8awWsdj3aPUWrK2l3od1LnFvSS2j3DKs9y3JfcrotaPVDbr9sgX//T5a54dIK55YmWe3UWO0EtLsera6m01N0B4JBCIOhIYwSbr755mii7v/0na9746FKpfIpIT3zUmPrJc9k9vs94nj4/c8//+RvnTxxaLrXWcH3FEYJRGQxVhIklsRYEiNcat5ahEhQQvHIwY383B95vPX2Zd71mmV2bQ05t9Qk8KtUA59a4FGvajpVSaPvMVHX6Q2TsHFo6A8tnUHA8kKFUyctYWw4fS4mCCwg8JVFS0GvrxB4xD3NtTsFu7dYtm/tMUw6fO4Rxf5DU7z+hoDrL1/hA5+z+KLGzq09nn5AsXVSMdvsUVFVwshjvgP1imbbRsGT+0Ouv6zKq65b5E8/3cf3Grz2FosX9PjywyGffajO80erXLylxs7NCXNTIbtmI67amaCUQSsLWGpBwNxkQBh5dHo+zx706A40vb6iO5B0+9AdWLo999k7/YRu39LuW1p9WOgpzq1YahMtfuJbFviHt4VcvavOmcUmrU6Vdjeg0/Po9hX9oWQQCcIIosiSGADBY4895m3eNPdbzakNy9ddd/2/6vZ6f1qv1f6/C/DhsIdA/JPD+x9+93NP3j1thm3qFZdtjBNwdRASrMVisTbzTCxSWJRI8JXk2UOzPPFCjYNn5nnry7q87IoBk40my60a9XaFZt+n29N00ovdH2h6Q81gaBmEhjCyRJElTtwRxj7WgFQCTwsqvmCyIZhqwKZZw7aNPWanWnz+Mbj3CQ9pJnj9DR7X7u1w3/MR4aDJ7dcKWv0+80t1brvMMDvZo6oDBrFioR2hjODayzS1xpDHD1R45fUT3HpNh8cPKLAT3HCFzw996zJfejLki4/U2XeiwvY5xabpKlONGhMNqAbgaYuSYCzsOypIEkEUC8IYhhHuMw4T+kPDYGjoDQy9oaHbh/YQFrqShS4MzIA7r1vmzS9r8d2vtURRg3OLDdq9Cp2eT7un6fa1O39DyWAIw8gyjAxRbIgTMCbhwMFTnDjzuenFleF/fOPrXqm73d4f1esvHchfMoAPB8tIkfzQqSP3vfvkoa9uqHs99IxHFFuiBKIYVCSQQiCEAiEQIkEKkNJlEZWyeCqhoiWLvSof/so2vvxEm1dctcr33rnKVbu6zEzWWFqt0ekH9PpeCmzljlAwjCRRLIhjt9S72i0XVGoNFR9qVcN0I2Lrhh4xXQ6ejviLeyocOVlnMqhy0xWa265u8/ALLe56sMktl1bYvrnHh74iUCKg2YhY7Q4xFpSAuWaPdsfHxFXe/Ip5PvzZGrvPV3jTLT3CaIl7npkhSircfMUG3nRTm0svavHlx3s8fbLGU0d9tk1LppuCWiDwPXcTSgFCWIwFYyxRnN6skWUYuRt5EEI/hM5AsDIULHdA6AHXXrbK975ulZdfkTDbqLLSqrPaqdLt+3T7XgpsRbcv6Q0l/WF24zhpEsaWODbEMUQJnF1a5sxf3rWhO7DvfvMbXm7Pzy//8cYNL00ty/9yDW5XfonEzKFk+AOrLX7z+NGjs0tLPfphwGCoGYaSYSQIY0kYCYZhqvNCGAyT9HAs1E8lRm8InaFgZSBZ7kMvitgx2+X2a1b53tf2uG63IEmqxHFAb1Ch2/foDzVhpIhiSZxIEiMwVuSrQ+AbapWYwA/xvSGnl4Y8fEBy6JTP0VNVlAnYvdnn8l2KG/a2UcECf/iJBoPONG+4VXLNntP82/c3uWprg5uvGvCpB1sMe7N8/5tiBsl5PnXPLLfsbbDnknP8wh9XuH5HkzfeZuhFC/zBJzU+TW641GfvLsElF/VAdjh8dsCh0/DI/hqnztepaUGgJfXAUvFASndBrXU3a5xAGEOYCLpDaA8E7QhCE2PsgBsvbfO9r2vziqsSNk8H9Ac1Wt0KnV5Ad+DTS4HdGyj6Q0FvUAJ3mDAMDWGUroCxIYwgjC390NLuGSrNGa64+rLFIBD/W62iP3DwRJu/+K1/9r8Ub/9LGfxf/8rvwOQHWT3+5u9u6IP/OW6fm6x5EyTNOt5A4GmDrzV+JBmGlqGSKClQSrhnqdzXyqBUgqcFvmfwPUvgWWp+wmRF0Bl6rLSn+Ni9Tb7y1ICNUz3e+eoWey8aMOh3uXKX5aJNimHkkSSKxEhsBm5p8HTC8fOWo+cEq33DJ++rcXpxCht6TFUUW2Y0OzZpLt4KV+5uY+Qi7/1UneXlCW7Zq7lyd4svPyUQsceGKUm9FtOLfKSVYCVK+7QGgvPLgitsjVff0OH+x6tsmfW55cpp/vG3LvInn+3wyIE63YHH0mqDXVuq7Nnc4+bLOnz7KzucWV7mk/cFLPUCjp/1OH3ax1MCKSUCgbFOG0fGksSGqZmIq6/oMRxG7L1oyNtfPWTDhGK6ERBFFc4uVOj2ffpDj95A0x9mwJb0h4L+UDAYwiA0DMMkZW/DMHKrRBinK0UEg1DQCTWHT7R58MADs1dePPOfb7txa/QXv3XRny+feDfT23/u7x/Af/QX3kdj9xvE9/3v9h3bJve97ztfvb925c4KcRxgkShp0MrH0wYdarRSaG3TclGJkqCVQCuJTrWx5xl8neBrQ8WzVCNLLbRMVBKmqoJeKOmEdY6eqvOeP58GEyPimBuu7rFrU0gcg7EGa10SRwqBVALt+Rw44bPvUIV6RdPwJbM1wdyMZMO0ZsucYsfmhD07VknEEr/z8SbHT0xyy2Uee3cm9OMODz4TMFn1mJmwTDZCalUnhYyRtAaK5a5lqZXQ6lZ5+ZWrPLqvx/4TislmhZuvmOSH37zE734CHj9Up9u3rHY055ebbJqtsWFqwI6ZAf/6HT2atRZPH4UDJyWeZ1HKIoQBrPufhTiGnZsSbr8qJok8ojjA2hqD0OPcogN1f6gZhCqXb/1QMEjBPQhhGJZYOzR57DLMjkzzh4JuJFgNJSuRJRxERL1nJ996y/n3/e7yfMzUWz4aLSjrzf303x+A/8Qvf4jtWzerZx//3NteOHL+Ax98bL7y5P5p3vPPOly2rYMQFiWNcwW0h6cSPKXxQoVWCk9LtJL4Wjpga+HS7J5k6EmCMGEYWaqRYRgZwtDSjGEYGYYxhLFgEEmGSUCUVNh/qM5T+yGxFgdtp409Cb5yNR+NAK7cDM0qTNQlUw3FzKRmwzRs3zRk89wqkV3mdz4+weEjE1x/seLibZLd21b46nMx55cmuGGXZKppqPh9AhlglSBOJMJa4iRkpVvh/JLH9XurXHtZh/ser7BxSlCrNLj+MsNPvG2J//wJw3OnG6x2DasdxcKKZnayzlSzylRzgmYtYq4eseP6kMCL8XSMUglSuGDC4m6qKFLML2iiWBHFijBSDKP0OZQMI8kwlAxCyTAUOViHoWUYZue1OL/DMXAPIncjdCNBK5KsDC1hv8+1u1Z4948t8/prTtfCnvlAMvi8GZqrP94+/btJc+s//+YH+K/9zn9jtllRB8+cePuJk4t/+vi+sxXRnOZzD1fwtOSXfrjF3m1OcihlUnB7aG3wtMbTFi9UeNoy1DatIREMQkHgCYa+Iowkw9AQRZYwTlJNWDoSiBNLkhgSg9PbhhzcQuBWCAmeB4EWVAJBLZDUa4qJmmRqQrBhOmbHph6N+iofvz/knmemWV1scvV2xY7NHpdeNCARq3z+kRp1TzM3pWjUBjxzGNdxf5GlN1Rcc2nE1bst584mLKz49Ac13nhTh6893efgaUW9Kgn8JlddbPilH1ji7uf6fOruWZbalh0bElZamsmmYqLu0ah51KuWSmAIfEOgE7SyeSAOjsVdpaUgNpI4EcSxIIolYSyIoizugTASTnKEMIySVGOnwE7lyDDMJAkMIhjGgl4k6ESCdiRoDw026nL9jmV+8YeX+JabLJ3+FFF8rBLL6T8bmHP/aBhv/8uDT38oufSa7/nmBngtsHKl3XrX2VOnf//ksROVuak6rRD60udvHtCEoeY7Xt3iHXd0mG7GdHQVrX20TvC0h6cTPE/jhwpfKwLPsU3gpxclPxRRDGEknYMQF7ZfnBiSxLkLiU2dktQtEUI4R0YKtBb4WhD4kkogqVcFzZplsmHYOD1kbqpDbFf56Nckf/LZGTZUKly9XbB9s8fOLYYdm1f4+IOW5eUKezcppprQqEWcPyaZXwnwd8EwEsxNSCYn4eBRy0rbcG6xwqU7K7zmhg6fvrfCTAMC30fJSa7aLfiRN83jyXn+5r4pnj9dYWM7YsNkzERd0agqalVJNdAEPgQeaG0dyAVIUQI57sZODLhEGinQIUosYQxRlDhSKAePWQAZFcAeRjCIBcMYupGkHQk6EfQHEU2/zXf+gwXe+eoed14Hq50mvWGFwTCg0z1fMXrmfdKvaYT333A8880J8D/+r5/AGPMD+/Yf+Y1jR0805+qKSmjwpWBFKrqyyecf9Xjw2QrnVhb552/rMt2MGARV2r3E6WvPww8TfK0JvGxplYSRyp2WMHYgj1JWyuyqJLGpP+sCLmNs1sOZgtsBXCmR6noHkEoAtYqhUY2ZbMTMTfaZnVrl/v0hf3ZXlQNHJ9k54bF7E2zb5LNtI+zZ3qYXt3l4X5Oq8pibUkw2YLIxZGoixvc1Qribqz/0WW5HrPYsrW7M/IrP9k0Nbt07z12P9DhwukktiPCUjxAT7N6q+L7XLnLjnnn+7K4GDz87yVJXs6EZM1mLqVUk1Yoi8ASBJ/E8F6soRWofOpRbXA+rMeRAjxOTrm6ptRgb4sQQxq4EIIptviKGsXNlBrFgGAl6sdPbnQS6fYOJ+sxU2/z4dyzxv7+rRyUIWG3V6Q+D/OgOPNrdU82grn9ny0V7/X1PfvJPLr/uf16R1v80gLfabaSU/+TP/vzj7z575vRMrSIR0uLyg6AF+FLQklVaA8VvfMRj3+EV3vzKLq+6ts2m2SHtTpX+0Mf3fAJfE0bZoXKAR5EkjN2yG8Wpp52QWn+kzC0xlgLc6ZtwzA1auYSJ71kqvqFaiWlUYqaaQzbPtjnf6vF7n/T4/KPTLK/UuWROsH2DYOsGn20bBLu2DND+Kh++R3PkZJ3LNkqmGpKJeoKUQ04vWAItkQKsFYSRZseGNo+Q0O4pVtqW88tVLttW4dtf3eIvv+xz7HyApyOE8DC2ThRLbti1wo7vavP5x3t86PPTPHasztYpwWw9oV5JqPhOtvmei1W0wgXOUuR+cJYwMxbntCQO8BnI4yTLQzhyKICdJo8SQT+GXiTpxNCLDHE3ZNtsm1fdsMpbXtHljTcaFA2WlqsMI5/B0Kc/9BkMPXpDj2GoWOmcm/FrO3/txtv/oep2O39Urze+eQDe67bxPP2P73/ggXcfP3pgQ62S5R8dgwpIM5ECTwhWhU87nOLDd1e4+5kO1+9p8V139nnTravMTgb0BgH9oU8UeYSxRxjpPFCKY+dlR0mmLSVJIkiMKLS2EeSqxDrmlsIlilyyyOB7hsBPqAYxjeqQ2cku/ajPl5+x/MVXJ3j42UmmfI+rtlo2T0s2zvhsmZNs2xhy8dYVnj7W55Nfm2NCaeYmBM26oFmLaPUSPvtghYZvEcIBqz/UvPn2IZ95yNXEtLqG+RXNtg0N3vqyLg/v77DvoE89iFFSOJCbGoPQaf3ve02LyzbP8+G72zzw/CQnVqpsagomKpaab6hog+8510lJdyM7Jocs9WFSqWZMscLFKdAdQUCUCKKkAPYgFnRjQS/BxTxhSL3a4ztfv8y7XtvhhssSNkx59Po1VrsVhsOAQegxDJ1Lkx+hpNOTPPXMwQ2xfPDdN998m1lZab1/auobP1buGwrwTmeVTqdPnNjvf+6ZB3/90Yfumel32wS+IjEmPakCsE77CpsHdxWl6Hh1TrV9zjxU46Fnuvzl1W3e/poeb7h9wMykz3Doai3C2COKvNwRiBNFHEtiI0mSAuDGpsxtinyWEDYNKl0dh9YG30sI/IhqENKo9kno86XHJX/+lUmePTqBiAJ2Tlk2T1pmJxVz0z6bZiVb5iK2b2pzcqHDH3yqTjyssm2bYLKhadahWYsQXki7X2ey4T6ztRDFkulAEZuYTuTT6SWstBWnF6pccXGDH/22VX7tvwUcX6ijVZTeGJo4rjAIJZtmAm64pM3VF3d57vhp/uKrVe56bJIzrSr1QNHwoe5ZfG3xFGjpzrMQo5k9A1jjbrrECBILcSKcf54IwsQlifqJoJ/AILFEcYwJQ2YqPd545yrvvLPDK66KaVY0UVxneTVgGAaEkWYYegwjj0GoGQ6Vew4lw9DJzKXWKl/68lc3DEPz66942a3x2bNn/mu1WmfyGzg/8RsK8OGwz8RE9S2PP/7E7957993NdruNVBKtLJ52dRI2BbkDmkBKixLgS0sgBR3p048188OAv3moxj3P9rj5i11+8js6XL69zYZJRVNqwsgnjD3iWOcgd+CWJMb1aLq6LJGn3x1zG5SyaGXQOibwYzwV0u5HLLQj/tPHKxydn+LxfZNY4zNTFWyYtcxOCGaaiplJj40zkk0zMVvnesxMrvD5JwyPPT/J1dsEUw1JoyZp1gz1aojwhgSBRrtqA5dlTKRjskFEbASdvqHTtSy3Pc4tNbltT5dbr1jlw1+sUF1WaBk5QFpNnPiEkevxnJ2scOPuLjde0uWRV53h+ILkz+6aZH61xqmlAF9J6p7Az2SYdIFnTuSZVMExeWwFsYHICIYJDGIIjYUkhjhCqSFbp/pctcNdj5suT2hWNXFcp9UNGIY+UaQZRl4uJ4ehZhApwjC1I0Pn3MQJKKnodjs89OC9M42a/7tXXnXdSq/X/+Q3EpPfMIA/+9x+ZmY2qc99+iOXHDp8uLm8sopFYa1F5jrXgc2mDC6EA7eS4CnwFVS1oR8Lup5PP/ZYCmvc9dgE9z/fpx4M+Uff0uKimZgdW/rcdmUHLVyLmBBOrrispKuVdqtFCm4sQroCrWFkscQgY547Knl0v+bTDzd47kSDMK7R0Iq5qmW6bpmqWeeDNzXTE5qZScGm6Zgtc302z61wz7ND3vvpDWye1Mw1oVlXNOuCRi2mGgy5/wXHXF7dgcpaV4ZQ0YrrLuvz0DOTrvCpn7Da9lhcDTi/OMWPvuk8pxaXeOjJOTwJiAgDxLEmjDyGoaTb10w1Kkw269x6WY9XXd3ju+5YYP9Jw2cervDw/iovHKkTC8egvUihhEzPfTnwTHMC1hAbizUGTyRM+CEVIm69vsuuzQO2zUZ87xuGVH1FvaIJoxqtjk8YeUSRTldWRRirFOhprBRlPrtK636cZSkEVCuabrfFV+++t3n85OlLvutd36nOnj6UbN56yd8dgD/zzHNsmJ3xH3rokR88txj+xpFjiyil8qBOCpHacORa2NV8pIFebPGkQCuLn1gCJaglMNCCfqLTo0Knk/DrH57CxhEb5wZcsX3AzETM21/TZ/uGkCgSqd6WUGJuUv0ppUFIwcfurvL04TpCa46fqXH6fI1KVTERCCbrlmbF0KxAoyqYqCmaDcVUQzMzCbOTMRtnBmzd0Caxq3zsa0363TqXbrM0a4pGTdKoGhqVGM8L+fxDFYY9ibfBdYtmEqVeVbzx5j73PmHoDiXdfkK7p1ntaM4t1bh8V4O3v6LN48/VOL7cQEkDRKle9ogSt8wPQkl3oGl1fRrVGvXqkMu3Dbhlz4CT8y2OnV1FewlPHdH85VdrCKUcuMfnD1oDGLCWKEzYsTHmna/pM9tM2LPDsnEGkthjGDaIY9c1FcXuiGNNlCiiSBElKq/xKZ7T2qLYOV1xKoscNiDwNDZepVk1v/Hcs4/2tl+080+OHn4+3LX7ir8bAD958iTn5xcuO3f29O89+/Tjshje6Fhaph5zLhXSDyYlyNhpRK0sOnYaMNIukq8m0EgsYSIYGsEw8Rgaj9jAQrfJV582WBL++mE3sgFr0iPL4qUWWVqRKIREKkUcaaTReFrSCGDXnKXuGWqBoRZALRDUq5JGVdGsaSYakqkmzEzEzE0N2TLXIWGF//RXFe57ZgO7Z2CqlrJ3TdKoxtSqIfVan2q1RqAkSqYaHCcHoshj0Bf0hwmdoaI7MHT6xrXM1X1OnZ/g5VcM+Yl3nOe3/lJzYjVACIO1ESaxRLFHGEkGQ1ej3ehr6hWfWrVCLahRCSIa1ZAbLg3xvYibLo353jt7aBWnSSCDEHZUlKeSzhiJEJLAU4DPYKhZWtGubifJYh737OShK1iLYhcLZUF/5mplII8ygCfOoszwIKXrTHrgwUelRf5eOBx8bTAYPPuNwOb/a4B/8m8+QlA11VMnDrzt6JFjwvMUkGUKrWNv5VLGNrPnUgKRsZMnUZxlEl1jQ5RkET3pybDERhAbS5RqxNhIIitJjCYyAUlqe5UfeZZSgBbCZSoVVKqWirZUVELgQaCh4luqgaDqS2pVSa2iHcDrgsmGYboZMzM5ZMN0ly0blnjvpw0fumsjF00qZhuGZl3RqCnqNahVExrViLNLhsNnAyq+K7+FrNJPMAg1uzYZNs0OaA98+gObsrhktaNpVCs0apN8753zHDl7jvd9citaaiyGxCTuXMSaYajoh64oqleR1AaaauBRDRJaHRdj+F6SJswStHQZYyldOl+khytdSd0u61bClkmrLI2La1x8U8Q6cek5ToRzslLL1gE+A3T52SWZTJJZle6Gt1aQWMGjjz8tOt2lt+2+eOPhz3/2v/bf+Kbvf2kBfnZB+cNT8z+7snT2Z7UMpdYSk+bARTlHZSVCu0IgB/A0wIxdhJ8Y8jvbS62qJLWv3GHzNHuSJSssGCvyQKmsuSFdJYSTQloatMQFvAo8JfC0db6xFlQCScWXVANFtaJoVCWNmmWinjDZiJluDpmd6rF94xIPvzDkw3dvYaoSsLFhaNaEA3dVUq8Y6pWYRm3Iwwfgqf01LpnLYo4ibd4fKm7aY7l0e59Hnp2kN7T0Bwndvk5B7lGrVKlWJvnOVy7z1AvzPLRvE1iFMYm76WNLHNm8nqQ/1NQGlmpFUfENge8R+AmBNmlm2KCVq/lR0iKlKw1GWASFniuCc5GeXwdyY0TqUEniLPWfulYZqIuvRV4SEKdZ0ygRJCl5JQmOlEzG5s58WFweyH7n9L/VNPxd2yb+AxC+pABvLZ/wwzD84flzC/7sVCVnZ2HBpsGMkSlTGONkgrTIJAW2FOi0JS02YBKIjVuyTAp4Z2MVqfZ0eFWevCll3kdW3CxVnSV0lEwzlmnA64q2XPYv8BWVQFENBLWqoFG1NGsJE/WYycaQmYk+W+ZWeOhAn1/8042cODXJxbOGyRo0q4p6VVGvQL2SUK1E+N6A1sCipMJTTqZlj8RkDOfTrEb0YkNv6Pbn6Q0SOj1Jq6qodQIqQYOdmyJ+6Qdb/MIHJA/u24hFYawhSQxxEqepdMUgVPQDSXWoqPiSwLcEviLQBs9zfr9WNi03tqmDZdMYxa5pDjBpHGNMwepZ3XxiBCbPNzhnKDYOwEkiiNKbIU4oPafgTgFu0+aM/DpaqAaSU6dbfrW2+tOve+O3eSurg/9rarLyt07n/60BfvRsC2PMr3zkLz96a2/x9OxEo0JiyP1W6VY9jHAnSgqQRqJE2l+ZyhEjIVHua20sJknT6mnHeJZWdidC5MuaLR2MATyV3WlgSerUOKmkFUW5rXY1Lb6nqARuJEM1sNQrhkYtoVmLmGiETDf7bJlb5aH9PX7hT2Y5cGKaHdPOYWlUJfWadOxdtdQqCbVKRJSEfPCLDaRSeKkVmjO4Femy7vF9r1/hC4+FdMKAXgrwbl/R6SpagabiBwRekz0XxfzyDy3xb/5E8MCzGzFWkhiXVo9iV2g2DA3Diit3DQJBxRMEvsts+trmGVutDFI5gpHCOrmYAbxIeaYgJ2f0bMKAyb7OVtQ0mZYkoqhzKf0sScGdrcbF9czKJ7I/6LKu/WGV5/efqezc+cWfuv0VdwhrF39OiL/drnF/a4AfO3IYa+xtJ46eem1FJNSqOs+aZSOlrXWAT1IWkEZglEUZWxQ/KZs6A+65XDfiTqTNNVp2p5uUssvMnT0ygGcySOUM7thb66zuROJ50tVv+IJK4Gae1IKEetWBu1kPmWz2mZts8fD+Hr/4/mmeOz7LtinBTL0kTSqaesXVr1QrMdUgxPOGnF6awlMCJU1qyxVBZpJI4lixecoSxxHtqEI/bQPrDxI6A0m1p6j4Hr5XwdMT7N0W88v/eIGf/2N46PkNTiokhiixRHGSMrlhGBgqoWTgq1yCeR542kk0V6di0RKktCkR2LwwawzjTq6QrZpiVDdngLUpe1uRr7zZz3KQl0Dt/o27e8p5CgCpQImQU8eerp7dufvW/zczyv9WAP/Kl+9i4wS1j3zss74ybXQg85oOWWJPm4JQZSnhUtmmkTY9GeUPnQLdZqC2+R1eLGMi/++u9yj+vqsSlFLk4FbSzdou5AlUPAh8Q7ViqQZOP9eqEc1ayGS9z+xUi8cODvg3fzTFM8fn2DKpmKsbJqqCRkVSqyhqVUG14m4Ol+oPeWifoDvwqSjSG99p8KwJITGCKNbUK4rbruzw8HNNepGTKf1hQq+v6ASKwFf4XtoIoia5/CLDr/7wPD/zh/DAvg1ERhIZkzZLFz2YQ18S+Maxt1fU0WuVHaQypeRopVne9UGeXU9RkoeOvGzG5iVNXS7oMqVrml1nWzIFrM2uWZYElCRWcvTkkM7nvuhfec3ral+8667e617/+v/5AD9+/CQbNm6d/MqXPvkHtSB5ZdKQriFBU9Q9lE5OlkiwZjRqduwMRmcsLfK7unwCys/W2py5SbV3fjGEKygSMgV3WmSkcoCDSisGPQ2+B75nqPhpgVWQUE3lRaM6ZKLRZ6rR5slDQ/7NH03x1LENbJrUzNUME1WoVwT1qqJWVdRy9k6oBDGN2oB7nvJZbVWYmirS5Nk5yZbzKFFsmFHceW2Xex41rosmNCWQSyqepOJpPO2jdRUpDZdfZHn3D8/zM39oeeDABiKjibIKwMTmTB5EMq8u9LXrjPK0QEuB0tm5KcnK7CYkS+tnpXGl6zh2mNJzLifHWNqMk1ZGVia7gWx6HUU658WQJNlksf4rp+eO/fFb3/YP/+npUydWt27b/j8X4IPuGc6cmP+Z1aXj77LJMpNNL0/aiOxEjd/5lHVcdteXT0pZW4v8RGTFQFkF3Ahzp3d/tnxldRZOTxY13koVFYNa4eoztMXzXGNxxTdU/IRqJaZWiahXhjRqA6YnWjz+wpCf/cNZnjyykQ2THhtqCRM1m4I7Ze+KpBo49q8EMbUgJDZDOmGAUBIvY/B8VRNp0OwstSjyqPsDVy4QVpjKQD5I6PmOwQNfps0f2Qa0lqt2Wn7tn57n//h9wwP7NxIZzTARhEnWSiaoRIbAs/iewNcmXb1cy59KVzR3fkThbJVWYJfHGDndecFaGdw5CZUCxlxfZ7IkBXQeVJZa6vLbKF1BHEG511ZW5xHekXdtfvipw1EU/fz/VAZfmj9Fc3LrjicffN/VnjnJzIQgMQnYYl3LApX8hOSMK4rAIjsppqznRtkglyKm5KGXTnRWFrgmqMyW27SIS6XBlNYWTzlg+9rm1YMVL0l1c0S1MmSq2WOi3uGhfTE/995ZnjiykbkJzVw1YaJiaaTgrlacnZiBuxokVPyYZj1k3zHL3Y/X8aXEUyaNSwodmblCUaKIjebVN0RccnGXwyeqzNVgEFp3DBN6g5SFtUJrDyVtmjSyXLkDfvVHFvn5PzR87bk5BlGVYSIJY0stdpIl8HAg19nqZfLeVqmSfIVTUpQALkogZ41eKUBeIp6R1XacrVkrNSlujvJ/m3zlcL8TxfD0vlNEPHz1v/3pH9lx7MSp4zu3b/vGA3x58RyV6sTOo4ce/u3V1dZbsD0aVY84cbZR9ibLzJ17qmQfdlS/jTybwpYaZf0yqMvnocTcZXAL64IUSQ4GV+zlDl8bPM8QeIbAj6n4MZUgpFYZMj3RY6XT495n4Vf/fBNPH5plNgX3ZNXSqArqFZF75c55MY69fQfwajAkTBIG/QoV5W4ymQEmPzep5ZZI4lg7La+HDENLPxIlgBt8P8H3NJ4n0UqhpJcDHAHX7BL86j9d4df/W8wD+2c402oyqEsmE0sjtlTSiQOBZ1PvP3NSbM7emVTJAJ6/3/RNl3E+gscM4IyC3YwB35jieuarc4aRNZjJvrYpEVj6wx6t1ZW33H3PA8ktN177U6dPnTm2dduWbyzAO6vHCPvVW1YX971tZfEQnuehtMHL6q3LgM6yYmlTL+OsbDMw2+JrMxp0rLnD01NcSkfkF8GNe8h6K20qT2xaNeiY2/V4Gvy8PNaBO/BTcE93WVjp8+4P1vjkg3MsdqeYm5DMVVJwV5zurqWBZTWQ1AKbMrjT3pUgBEK+8qTPSuQzEzBSj52tbNlnThLX/NAMNK+5vsdDB0I6UcBEZNIudoM/dLXqvnYA18qipIeQNk02wN6LJL/1k20+81Cf//D+jZxanKI/qZn0BY3YUIshiNzoZV+5gUZeFmhKkQfB2XM5UBelVTkDeA700nUCW5IsdoSczMiNMPY7Y/+dcQlkrEUgeeqZg2zZtPFtQaX+wW6vf+wbyuBR2EN71UvPHPvav+itPsVE3QJJKctVtvHKrF0CfAbojMHykyCwxo7o9OKkjQM8092U2Ntp0swFkGnts7PBHLC1cuD2dILvJfheTMWPCPyIRrWP1j3ueSrhjz/b5NP3bSA0TTY0BbMVJ0ucBZj55Co9RMrcZfaO0HrI/c9P0gs1m2s2veHGGTwNNI2r36h4ilsv7xMbB/B+JBhkbkjoRq55OrM4VQpEl31Mq+uZnRS8644ujeAM7/9sn3ufn+FcVKVXkTRjS11bB3KdxiHKpnGJTUGeEkMav2T1WJKCxcfdujI4YRTElME9AuyxYw2hFb9flq9RrPjyfc+yd+9l/+LbvuXlT3Q6vYONxtcfCfd1AW6TAxw98AWC6sSW9tKBV2kW0DU/dz6yzJYtAd2OAd2sAfookHP7yY4DW4z6gTmw7Zg0sbmPq6RJAW7Smu8U3MrVYgRehO9HVLyQWm2A7/f487s07/mvGzi8MI0XVNjUEEwHCc3AUg+gnnbYVwOX7aykCSFXv5KkK4GTJ4vthG7o4yuFL20eYFKouNxLTtL0dhh7VL0Bmyb7rPYa9CORjltzsYLnJanNp1K7U+X+dRG4usrHt7yiy01XLPCrfzbgQ5+fYzmu0ws86p6kqV0NTqBdaXLWDKGzpI8kvyGzLHB+rtcB+AhOxmKuNYxNFk+tx+ajv1+WrknuuClWzra475F9rxoM4y3LK62D9z15gpdf9+KuytcFeJIk7Lr85p39lWfeO5h/iIlG5OpG4rQAxxR1CmtYPAWxGQd9qZTV2NEAcryeZPyRpZSdY2ML3Z3qbSUNsszcKnEg92J87SRJ4A8JvD7Hzse87zN1PvG1GY6cn6JZ85iuwFSQ0AhsmnrPwC1TcMs8KVRJtXfguxunWR/y8fs1B49XqSjhMoaZg0KB8iLAdjo8ijV7d8C33tThjz83Q7emaUaWQWQJwjRuUMYNQFKZM5SB3CuhzK0K22clP/c9Pa7edYo//PQ0R85NsBxX6XmauhLUUqD70jWieKnLVLB4UcqcuWKibCGOg3vsm1yTU7C5YZTZHS7W3gi5k5aCO7FZnZKgH2n+6qsHuOTyy9/76jte/i0Ly+2vK1VeFOCLKwnKk9z/yH3bwvZjuy+eOMJUc5r+0Ix00disNsEUBTo2P8bZevy14qLDhQEuRCFPMmAX8iSdNpvWWLh2tLTASMWuc8eLCYIhvh7SSUJ+76M+7//MJk4vTWJUlekJxbRvmfANtZS5a3n6XqZ1Kqk0Sb3zHNy+y14Oo5CDpwK6YcBUkLo4ZdsrE6+2SPbEiSSKNM26Zte2EBUM6IQN+r6gms4g8VN55aUSRWeuh1AXCF4VcxM9fvQtPd726nO8/zNt3vexGRb7dfq6QkUralpQVZYgto7NpZMqWha2ZrYq5kzOqDxc77HGTmQtQ6+3cpsLMLfrMHKd/KuRR9I/S2f5wd2tcycqndbg6+H7xQEeDc4SBc05bP2jv/2nz3q/8I8Nl2zpY61FSe0AbmTK4DJnpaISjVGgU/7aMU5xQsRIRJ0DG9Jqt/SkppVvxcnP2NvkMwuVdODWKsH3Iip+iO+FtAYh9z8t+fO7mnzsazMMkga+7zPjCyZ9Q9231AJLzS/AXQkkQSAJUmniEkOpM5EC3Pdc5vPoWcu9j9UII4+gbtcEmNkjy+hmq18YKTxPc+dNHT78pS4HTtXpV9xohqFn8WPwIoMXGlQ6r9HJCFkM96HMfK4/tRZoNk72+T++s8fl24d86K4Gj+6bYKFfZ6B8PE9T0YKqhECmNmpmr0pX6pwXrGUzVtYD+jou1yjQC4IrM3n2dQHwIh+SpAQQGRgYQTcR9PoJV17UZ9fEl8XCmSsufvdf/fILv/Lb2vz8T33f3w7gmzY1ZG953y1bgs9M/PZPHmNmAqyJCHw3S9AB3LG4ydrEyiA3ApMC15QZeySQXB/Y6wO8VBgkTMHe0qR2YJJOyEpyOaJ1RKsbcd+zgj/9XJO7Hp9gudVAVis0qopJz9L0DTXPUvMtVZ+UtR1zVwNJxVdUfEHFJ63QMym4jVsZ/Bilh7xwCk63Ki6xkurb0cRJTuBpH6QDeWwkYajZ2BRcelGfZ07E9CIvn/fnhzjwqSSVKFmiBuRYZ065HCJJJFHi6sPfeWefN9y8wpef6PCBzzd5dF+TpU6NlvTp+hpfCXwpCCSuh1O6XeqylsKMTEQ598AFAs8Se2dgzxg9BzViFNyUalosxDbtDbWCQQJRYkCGHDzt8aO/IfTrbt/84f/jH+1/143XvuPzP/9T33fBasMXZ/DesUDr/u9vbD5RV+mbj5MYD+FAlQE8ZXBrJElZnhhRfBBGJcvoXT56lsrfZdKkXJwvRoBt0ucEJRP8zM2QEQudmHse03z2vgafvHeC+XYdUangNTyaGiY818lT9UhlB1R9kR4yLTlNdbcvCDL2zgCuY3w/puKHWBvxlccDjp+tMjst8KRJl/kiK1dGgTVF+WmSKPpDjx0bBXde3+MTD4Z0I49+JKh4Fj92LD6MbGmVUrlfjZAjMsUdsmhUMM5vrwZD3nlHn9fdtMRff63DZ+6rcc/TDeZbNfrCp+9rtKfQQuBJgSclnrCp1HJjPiQliVhm8nXwUwZ4ZhdnN3eGhZyxSSVJCu7YCkIDsbXYxICJwISERnJ+OeALDxyb+I5vHfzBkWPHLwf6fyuAf/H+p7BmlYaZ5xXXhdhIIoVJ2TNBKdfCZLJGX1Ni8vUOKLF3cUrKrWzlLzKvmwzU+bMDtkgBrnWCryMqlYjBMOHAaTh2RvEXX5zgc482mV+pg1dBNz1qStLwLA1tqHqWqgcVz4G74rmZhK7MVJYOkf7cpiA3Och9z7WnHT5jeOZoAJ6XLvO2lKIXI1RXdguSJKubduOcr9o15IptXfafrtGvCGqxIIgsQ0Vq7ZmRcdKFBVloldxnT61IY1Q6fcBjEHpUq0N+4I1D3nzbKl94rMtHvlTj2JkK+0/XCFcD4kAz0BqppEvnA1pKV5lJEYQqUcpHrENO4wyeEZ0hY23H1kkJ5HnFIWlzgE3AxGAj191vEkRkuHzjIXzz1OSend/93Yur9o9nJ9cPCi4I8M7qURGGvX/xqc/+5ux7v1xFKMPtl0foIMGXMUmkCYeaRLkTaKxjcPcscsY2KZsUrF1m76KQJxvIk3O6KAeWpmBtYVKAJwSBm6QaJwnnluCLX9UcPlXl7oernF6pcvhMHYIAVdNUtKKuLXVtnIvgWQLtBscHHimIs0Omh0oBTqq5U3B7CYHn2NvdWCFHF2DfsRqeHLUHc4lCqcIyC6jy5gGZ9jl6XLGjz6Ubejx7JKYXezQiwVCDn84EVCWASykQUo4wORSsmNX5ZMFsnPZTRonH0PNpVkO+7/VDXnF1m9Mrbb7yiM+RkwFfeLzGmaUKSd/DSE3kK4SUbqUQ6d8jy3gW/tB6lYhlyWJgTaBp0mFQNvcR04MM3ImbwxfGCB0jVMLLrh3yL7+rw5PPPzt5zTWdn/Di8P1cQOVeEOD/7r1fw5j4Xc88uVJ/4Jk6LxyrcM3ukFfdNODynRFbpgyX7BxQQRCFEmtVEWzmLC4LzV0CuC2fhiI1OQpu7EhA6aSI09dekBAlliMnBc8cUXzx4RrPHvV5/miV9tANnsHzUU3PdegrqGlDteQDBzqr08jKZl1deJDKEt9X+L5MbwBbaG8vSYfuO51f8SOsCTm/LBnaAK0lvrToks02RuA5yBM72u8Yxh4Czdx0iFQDupFHTwvndERFwZhWZiQDKUXZaE+HHSFSwslkUNFD6SUqHz/RG/psmgrZvjHihouH9MM+/+hoi2eP+XzxoQrPHK1w5ESFKFYQKKxUGFEq/Bcyg3ee8iw+alaPaMlrP8upyvy5BGxjHLBtApFBY9i9M2TrdMTeXSGvvnHINbsjts0mNPc9TXX4Z6j4wkJk3Z/cd+/nOXiqo97zwefFC/snCG2f1SOG545U+MLDNSa8hO3bYq7aG/L6m4a85roQbIKnoVoHa9IPbSRx5E5yIU3k2mLjHOBZMGnQ2s0xEdIQhZbewAH/2CnJf7sroBcpnny+wqGTAYtdn2Hig/ZBeaimwpeCqoKaslQUbpyZSguPlGNt3xMu6VEGtyfxU1kS+BD4pK6JS5l72uB7cZoRjahWQuZXEr74QINWJ2BqQqBTL16WcDD+yEuIcy0uGQ4VszOKN9w24AuP9jnRqtP3pJMpGrzY4kWZZ5167DJxdiHlWScy/xvG6tLfcED3E0WiFbGniBJNFHmplRpR9yNecVXMrZcPeeurBrxwUvLUPo9+qPjQF2scPeeBkPT6miRUabpTYnUBcDvSGpRh2hb7q+RmuEXErpXRpiCv1lxCTmB4zXVDXn/TkCv3hOzYFjPhwWzTIBDEkeKOa2IG5pB44cxr1Je//KX4zjtf+98HcK0se7fXf+/le85fc/hICJGGwKVdF7o+C8ZydNnwwLOGj34pZm4qxhrD9ZdFvPO1fZJ0d+C5ScN1Vw2oV9xyvK5Kyhnc+U1SQqsneOoJzVLbVe09vM/jU1+rMIgUg0hx9pyPEZrIehjhgdaIQKOlxFeCqrRUlCVQEChLoKyrAdep56sL5vazvswc3Crt0RQ5e/uewfezAq0kZ2/fj1Aq5KtPKD7xYAPla2e3jejvCzN45oU7HS6JEsVg4PHm2/t88v42H/rKBN24Qj3V4V6mw6MsKWPzbiGR1SrnDCpLWr8EcJN2wWvH5J5WxFqj48QBXSUo5QbpT1Vibt8Tc9ueCCuGvP2OHoPIjXP7m68FPLLPpxoIFtuKp57zaXclQq6nxscvuCujrVcs110bMjuZuCGgieGdrx1w7aUR1gjmJg0zUxaF+3zGSMKhUwMC6A1jPv9odM3clpnfA370v4vBrV0AZpvtMx/Y8113nFAf/7KgHzddHxEClHuTxhqGxnC+ZTi/6u6+F04YPvXVCbAGaywTUwm3XBPRqBhM5uJf8CHSia+C1a7i0Wd82i2F1JKhkQytdswkNG4usEZIjZQSTwoqynm5gTT4sgRmWczocyAXRcODdo0AWeNxGdyO4dOyWi9j8KR0xAQ6wtqQ04s+4bBCMCHx07S3SqvyRrKYWUcPlOITcmZNjCKMPKYaiotmQ3wxoB8H9GNBVbshmFkNSZbQUrJc3irzv5Wtli75Y4rsadpMkJSkURwnaVJMpSUOMVGcoCI3ZkKrBKlits2adMUwXL59QGj7SG1otQSPPuOx2nOyaaQE8QIgNwbqFcOt10RMTFps4s5FVQqUyOI3DxO5ZuZyHIdwlnA/jPjAXbG6+cb2nl/6F29tnji72t6+efLFAX74xDJKdn7tofufu+M//3nCcn8aVAWkXvMmRwftJMTW0somJElLe9Vy9quZCfpijdGjxcdWSEw2lZP0WagiyJESJdzMvUC6lLMvbboFiU3nnxSMl4Hb066j3m29Rw5u19bltkQJfIGvyUtMHYOnLK7dnkCejvG8iCCIOLlo+LMv1EH7eFIUAWYuT8QaBi9n+LIhoQ5szpUKI4/vfUOfv76nz/PnG3QTj1rsNqV1VYC26MRJ9+TJ/1a+GopCCRhZKvDKDpPXwmit8JKESLmMqSvocnZkbsGqJHevZBoPaWERNmG2ZvkHLzcgTB47kT+vp8/Sa24FNvEwcQHgKBGEthi/R0oETuIW2jZJEibrgn/5HUd4/syDdywsXvtrmvjHvi6D/+Lv3oNUwr/7XjixuA3ha7xsOlS+wGSRcKmVLAd8BmZ3dhOvFFB8XYBnzzL9ey5Sy6J1LcATKSsLJwW0pPScNdWWCok0pTkoDuS+LrrqC4DLXLYEvs1b2nzflAbnxHgpe/s6QsqQ4+cEC+0KQmsCyYg8kaWPlX7KkfNXHstQBIKKMPaYaQ7ZsanP/nND+olmkECQCLzE4sWpDo/JnaUis6hGySIFlAv8s4ZuUZJGBp0YEiVROtu+PGPybEhQGdgGJbLJWCZPupVzFIg0ChAXvuZFeXVmIRdmxHoOXP77kK9RMgq45dKYW/aewKx+wtfrkOgagC+dOo4UUPdCNjW1S9ykd01m2BvSlLAVzrvM0+8qjeBLoGdcmaxNxhf1xiJnPOe3ukH5Wtj0SEGbSoDs6/w5bTDQeSkoeYOtr9xsRG8E3K6f1PczoGfBJ/n2hH7aJJFJFE87fer7ETERn7m/yvmFKt6Ews+kibSjDso4j5U0eDGCoUj6DIZugu2bXtbl/qcHtOMKPa2pxoYwTacrWRREFVlGQ9E5lAWaowkVZ+ka5z8r9ze1EcRKoBOZ7mKXbgiWAn00oWbzsW9SmLTgy5bA7q574YSN3tyjq5gYBTrjuZNMZpUSheXMt3VDhcI4ADm/LomOAPxDH/0CjXr15R/7m3tuOncuggrpBCNIcPXc2T4vWTVYnmZNU6xlEz97M9l9ZUsrVs4xJQCsSSRAnkXLBubrvOIt3Y1YZs8iH4VQBnY+B0WRNkevA/As4Mx0t85kiU319mgtue9F+F7IuZbh8UNV0D46lSe6VKA0ku0rB5mUa+NLKeos65goosjj+kuGzEz2aa3U6MWKmgIvdp9FJdYdURngac4g/0NlcJDX3hub1g0pQ2IEnhEkSpIoQ6IEcQryWBbFazJ1hrJqTZkCXEg7kmUemZSVS/HxTB65q5YBnZwkRxOD1qxldbJ4wroxccNI4VfrN23eecfLj7/w2vt2XPaG9QE+DCMs9h8YY64zSUTN94jT7ugkm1OCLXW7l0sfRc7e2eTQ7LnIaBXozt3wrBwz+zoHhk0DNUolnIX2lCJrSSuKg5QCnXXQSydLVN69UgA7a7517J1qbk2utzNL0DF2AW4v1d9aRwgiPv21gPufbSADjS+Fm7+dVxAWn6fI9I1nM8uj0TJP3JU/9Acet13Z51tf0eF9n24QJgHdRFJJ3LZ9WhbVirlMkTJl8fKfuhCTg9EynUcjSJRxLJ6BWwm0lOmAoIK5c5CPlEykzRc50EtZ6DEWX7OGl+uSciCTZ8Mz2WLScRW2dL4yRyiKDDow1yVx7x9YE923LoMfOXaKyYnGGz7y8S9+z+LiAvVAYnHj1JK8G96OnKS8Uz6VJCN1vvndWUiREtSLDzzGdGWgl+uSZfm1fBRbBnRSBicfD6FlicXTbhhPjYLbjVMYY+60Z9NP29s8nTUcxKUjIiTiI19pktgAlWcvywFm0deYORsjGhxRdJpns/9Su9AFmxqBxztf0+ODnxmyaiL6SYV+IvBichaX0iJjkRaemdQuHNeiElu+XjnIBYl2Yx1iJfCUIdHWyZZEkkiLVMal66VxwX0G6DyrXFR2FiCn6JAvw3m9PD6F3CgzeFaJSv51UQLi3ns6B9Gkm46tLNOY6X7Prj2vu7u1cvoLE1NbRwFukpgwDC+xcX+3jXpUA01sQKYTqEw6oap8gi7Yb1fugl/vE5U+73jHiCuuJ00Fr61LLjpPsu+L2R7ZnjQqlSVKjQ27SYGtlSiclNwOdB33rjHZpsxdBJi6xN6BF/L4IcnBMxWs8lBS4kuDLt+UqU2YO4TjFzc98vkwZpSZkkQRxR67t0RccXGXB1+oEimffiyoSDegVMciLYJKu3DiVIcjSes4S39SlFhclKSRe9ZpHKCMTaVKesMm6ZBUJUfY2zG3LOryMy1eKrPIGLyc91lfi5dLOMSYpBpd6awRKeGW9v2MBe1uSH0m3L01DC8Jw+QLayVKMg9xBUkPpVz6VyTuYmUF6MpSmnNRpN3Ldb5ZA+pagK8Fd9kuLSdFZM7i2VixErhzySKK7nlB3umSMXm272V5++8M4OXhP67bnhzYebYyZ+50O8MsuNQRloi//EqNpaUqItD40rk7alx/jweYIz540W9YruPOvWnjdkmYnZa8484Ojx9qMkwq9JRPNXFafKScNS6VsmJSTzyr3XMsXg7sbD7GI7vB3DXWJmVHk61Irnlbmay5RI7IleI62ZFrtgbgsI6rUtqkoATy9TrAspt/dAgoaf5AkCSWxZUBh08sE8dFI0QO8A9+/KN4nuCFg33C2BUYCZWN/HVL7+hMk7HxAJStn7WFNmVkj+S6yhVpI+BOs8AlsKiRoT7FzEHH2sWzA3k6rk2PAtzX6QAgL9s6ME0KaYuXp+JN+nUycmjlOneePw4fvavBUPooqdLs5ehMlvEM5rgbXK60G9XhqRZPFHGiCRLNO14/4E8/1+PpI1Ui5dGTEj8xqXskkEmZCGzaXla+Aib9W6P7FpWZvAC3yAehupXRuEnAqsieymzFEOTMLfNgc7z7Z+04uHT08OiClgebZeIsbNRyUqzcHpl9PdGAdutJvnb/AVRJommAE6fOcNHWzbUf+7nf33Xk5AvUUmYE95wPWUw9b2PByNGUc6G/C+H9os63KJ5H9LdcD+RiRJ5kddb5uIPS+IPy1CatM6Cn2luNgTtL33tZY7JxM0PyFrE08aHj9IhQXsjB05pO6IPSqTyxY+WxY59r3EUp6eHyRcxT6aac+NHUPcGerQOePhiSmIC+8akkrmZbpxpcCbdZa7b3kciBnTVEZBe98JazeTQ6nXiQjc9T6bBMF884xk6MpSjuyupsipbBnL0pGlNEGdziwogol06v6ekt3YzFoKjyNIfsPy7ZPhNz89a5XZde/1O1d33HT/WmZzY5gM+fP0+v2379y66a/ZnF488gpEo3LS1YWpnSoEU7CvbsjZUbSi/0cdayN3mgCUX9dAaU0eGQRQOBKxctPZeYW5ZkSXkXY0+ReuEO3A7AxVCgjME9PcbeWV+nH7LcMfzff9VgqV9BBJ6TJ7Lk7pQH/XydjHXRbV7SmjmDO0cljjXNmubHv73Dlx9vsjT0CaWmLyV+3kNZvrmsyydkNp0weRmtxaTgNlgko86K+28Za1HGBefGgjRO9mVN3aPALsBe7pPNwJ4Du+SJiwuchwzoRWJKjMi3bPZO3qxtshvU/ZsQwZGTBuo7f0YfOXhfGA7+Omfwo4cP4AcBK0tnmKyDFZI4sSNBiDEgrWV0zFrmiY/NDiwx+HiytqxHyww30gpVkiWFg1JMix0BuBodsqlKoNbSDQXVGbBVOsItA7eXgduUwJ24Tnw1yt6eivD9kL/4isdzh6sgPaSUBLJkZ4pRDZ59oAtWE5bY3JQuZAby2LiWszj2uGp3j7e8os2ffq6C0QF96RNIUSR9xsA2zuSizOQjEqBY/o0CZd2qYKxAGRewmzTOSaRApsP8s2Ba5AmndINfOSpTSGVnpr8FrEH5mr5cO8rkhf5OV7pMqiQil1eJlXQ6lujgaVY7mjh2G0NoAO15eNrD9z0qFY1FEccmn+mcDaKXxn3YkTlzcu3oh/wCjixLgvzbEmOLNUDPAF5mcVHSt2WAO3kiy+CWsgB4nujJAG7dnOxUiniqBHC1lrm1cuztaTe1aqVl+JuvNlhsBVDxxuTJhSVKVuZQXNHSORq37cqdOKlEiWLNVFPxbXf0+OT9A5a6AaHS9BOZ2pOiaCnLGXQsyZKyd/aSydm8AJOyqQ5XAp3K0GxTA5WxuHHPiRCFuyVLq26myUeGoto8w1oAPKM+W9xwUNiFZRIdkXHFs2vkIN8upTcUzAiF53n559ZHjhxmcnJy5xNPPP4TC/PzVAIPY92HyrZ1FqlVKLM/IMpvIHNRbH73jcqTwv8dkSgleVJOz5cZfVyWiOxEi7I8EUWHS8raqgxsVexFrzPmLgN7HXmidTmpE6OVy1wePSZ44XgFQ4CQzj3RoigdGHVQRrtdMhrPHcIyyCncAVve9CltIIkTDVazd0fI7s0DlvZXsYnvWDxJPf+Si5ODinKhVyq4szJaSGuHBEXwCVYWA1Gz2MZIMOkqkZSlmCmtrKXJsELaEmkV76M4DSm4bXFecnMil7xijVLIhuxnAM+AHcVuSGdiFfPz8+y+ZM9P3HTLrU8eOXL4mBYkxNFwk6fsG5JwlUbNZxiWlxnnpybCHUJYjCxmCWYgV2NvMGfzdVwEcUH2Lkacldm6APvoUPv8WRUMrnMfvHykW1qrMrgLkGtVGhKkCvZW6fdaRygV8ZkHGxxcrIJfyJOyeyLG2Ht8XMR6MqWcMLNr3JRSGW2ouXg25E239Xjk+RoYjzhxWtxL0iGfyahUyqVKmS3TwLPYTGB0vIdJTQWbuWYyO0Suv7Ov84Rc5hxl11KKkjOWSU9bkmoFm5fjtDw5WLafy3FfibmTlLkzcA9jiCLB0qkFrhvEbxgMhpvCKDmms0mjtcAyPeHSwHlFX37HW7LGXyPSXbGEReYnJyuuWi+DWfpIJbCL9IWR5VyKwkEpLXsuKzjK2usxuCqDO51PWGzbwRpge/ncwqQUXJoU5LGTJyqiWgt58IDir79apz/woabRUuCJUWkyHmCW44x1AZ5fxJJMGUtFZ754FGsmGpq3vnrA5+7v8fABH1v36CcBvnCVlEqk+YFSsCdEGdwFyMuTDFzwmToWyrF5Ip0ezwBeMLd7TaZzU4RwPyvbufnNXiKvEWIbxfka182OyZTCIiyBvATuMCKd4Ziw2onpDZN036IEXfGH+FrTrA+YnYxZ7vhE6fZvKr1ztMoChOJuzES/tMVAzWLJXftYL7iEIttXLK1iXYDnR+l7F2CmyR2ZLakZyLOyWYtOb+LiMKWRysXsQsfW7lDKBZi+HxKFCZ97oMbzJ2rgeQipUlBlAWaxFYiQoyy+RpLlLJUxVRqgm7VeeHZkdmEYai7fHvPGl3V56liVYeyTSI++UfgJxXvJV8Psuq0FuR17L6gMUAajBCoDmRRY5TYVM8ZdF5OtrtnAU1MuTQBh7JiTVNLgF8gLlG/4HOQZAZS2v8lAnm056TS421JxMExYbicst2JWOxHtTox+8vE/wwqFtj3mpmNavWx5zUDlljKVAhshEMb9jkk1SNk9seO34xi6xwNK96GLk5GdmOyE5e9jDOjlkb8qZ+wM4MXk1Fyi6GxOuEmdFJMC2pSAnbJ3GlxqFRH4Ic8eF3zh/hq9vg91DymyysFyTcw6WczSEl0+EU4DlwIsW56tPbo3ZVIqwAojj0Yj5I23D/nkPQOeOhKA9hkYiZ9pceOa0AvbzsVQpHKFpAz2AtjWupUvly7SsXnGoHlyrQT0LKMsJEhT2uUDMXYOSje5GGPwMTYskj5ZAVapnCFP9JT2AcqTis4M6Qwln73vAR4/9AxhmKB/58N9hpFg22zM9bsUw9DdJdm9L4VrIrWpagGn4kQqUYo3kwF7NHZfc9emLD1qE4o8a5kHnCItF5Dlm63Q4hmwnItSDI/U6fcZc6t8Png2MjgDuckHdBaHy1Zq5ZI6nhcR24RP31fl3merUNEgXUOzn6XJy6Bm7Ch/sx5jjSXJ8toLU3ZU5AjQhwOPV13V400v7/Hc8Qpx7GGFoi80XlK8H2FAJoVVOPo2Rpm8fA2VKutfN6LC2nSHPDkK9MxVk6bsopQsw9JNPrKKlS3DMXBnGMoHBZWlSpaeL1nVGbKUFFR8zcXbEl55wzKXXLRCfwi6oWo0FAw6Cc8eStgwXcpIZoBMJQNGgHRRcTGtqCRRXjR1uY72prjjRUmSZJtI5RahHA0y80IrRQnotsTkY5IkB3dJd5cCy8w5cY6Je1Yqwvcinjwm+ehXGoAP0kMIhSeyJgtb+MFi9IJmnzNbt4rbXuRXs+yomJJT4LpvjPN5VTr6Id8nXmOt5p2v6fPFBwY8ethNEoiMopeItOArPT9kdp0tAassfAsKLQM9u/lUGltZlc5BtBmDi8JJsYx+/nG5gs2L58plwxeKS8rvZbR/lWJ3kJS9szcrBWgtaTYkF09KJioenY7GGIuuV929LazB9wRR7OygrGhKUHY2LBiBTWVLXlKQe94XUCYlJncfVOTsli3h5W0zcuYekSajEXu5ZDaTJNm2JW57jgLc2e6+GWt7avRZZ/pbZfo7xvNioiTm7oerPHOoCp4HUpcaG0YvrEzdgzU++Dpno7DpsosoKG+ROJqOdk6KUWl2M9EMQ48rdw941S2OxfuJY/Gh8BkY0Enmh7uCOQco60ZHsRbkDsRj4JZglc21uJQm/Tpd0a3IWbxg7vRzl0AvSCWtKOc+7Agmxle14uuxGfIlPZ7djNmNkyX+hpGk1ZVpn6tFb9sQIIQkjiPiaIiQYqSeZFQ3OU1uMnDbLPtUclDWOOCjrF38N4tWtYyZScE9ag2WspmlHcuyXQ4ySVJ08xTgViMBZUmK6GK8slYJSpcAnkoUX0ccPCv4wOcaDCMPal4qT8hb09RI5rDknBRa7MISxY4CvSxT8qzdBbW4ph5Ivv+NPT59b50Dp93NlxhFL1GuyjBJs40puEWSWneUg073x0eSdMoxd/6e0gBTWYs1Jalo0yMNZqUVqVQZc1JEkd8wpZirDO71pEpOAKzNuYwW9xWPJLF0eoazixK/o7DGoj7ywfds3DCj/mNn9fReIbNUcVnfjL8FQdY7Oboki1w3jxxSlFg5O0GSYh/LbBywHPW0x1yRvJkhA7NmLJAkBW4psMx9b5PLldFak9LuD2kjQ3YkMuRPP1Xjg1+YhCAAVUEpTU1ZqsrtdZNVJnpZk3PaGldkUtdmWIuy3tIKlMcShe2YVe8JSdp0kJWouq+FNVy0KeT0ouSxZ3xioUAorFC4Bm1LOa9QdqguuMaO0WmxKo/LGDsmaUZ38Bi5Yc1aYJoSQNf0Eowd5kV+Z+S9GohiS6cXM78csX3XNZv2XnXblzThgcnNU+e/5ZrdZ3nu6Bztnk4Lp+zIf0QKV9GQkZO1zlF5Mdk9wt4lts4JrhRQlu/8cgfPCItnrWsju6hl+ruUMh/R3xm4s+1MbM7WmRWYyRKdOieeDnnhjOTDX66B1CAde+ed++U4oPweYQxQjDC7qz0eZe9RIJTLQMkbgjMGNzZN36tUiyea77yzxyfurrHvlA/pWLWh8dDCldHm5zZJoZiUrQub83kGZFtydVQqX5TNnl3+I5dSIgs23d8x6XmwqVxLTTdM6VyUSzRejMUpv8uyMWfHyTdLLrnrsNKzPHawj5lofct8//ik/sJjHZaW+zy/LyKwkbN45OidLjLNJYq7WYjRha50vsaylqUIekSWjNuDo0tb1ttYpOiLVjU5Du4xYJc3oCpkitPcKrUGVUmiOGAXIE9UzKfuq7PvYKG9pZDO+047aMa72sczmGXWHL+Ao9m7sQbkcU88a2czApNIEpml8J1UufySIW9+eZfDHw4IEwlCuwwnztrNfXEEEkuUB79FaxlZkVOKJteX496TtOWAM72p06+FTINQ4TKfIgN9GnyuyVCL1JgYv/nXX0/WP19j7J2dc6Wh4kuu3A0X71pl755zzEwl6GcPTXL6bMzjTzS4bKthw1RMxVcoJdeAPAe2vcAbEmt/d0SOjgeWY+CQJUAXrG1HgsvRbQKLvTBHAC5LyR1ZaO8s9Z5vcVKaK66Um1TreRFHzir+y8ebDKSXMvhocDk692R0Q6wXpaT1LlSW8EmpfHzk9OhYCbeHuzGKxGjixCNIYn7sbV3+6u4ah89oUBHWaELp0TcClWQ3nE13TLOli5Wu0mrU3VElf165iDItxkrBbG3qqBTgNjZdLVIDwpSva+6irN2WsFx4N461Md4cDUBLp1ikjlrVh00zios2Vti+q0K1FqC3Tkm8SNLaKJmoKdTYXxOj/7fOPVV+Q2LNm88+WPZ74wmAEYtpTVeMLSTAOLglI8DOmFyrkmsi13rdSo25JiPed0g7NLzvk01OzweOFqSHEDIfMDReVDUiTcYdlPIFfRF2yj3wrPFgxEXJ0tWpRCk3Q0hFEmu2zg354bd0+NUP+LQiFxBYIxminG2YiBzk5WATUciVXFeTORc2m9KXgxsLVjKy2ihRgNumzG2zGz91lazNrGC75tyUHbgcM+vo3tytG7k9S1jD+eMrHU0YTUJlkubkBHrjtEZbj+VNAVrr3MlYm4UrAfqCN8FaQJeZW64DgnLRTrGZawruHPBleWJHWFumE6zKAC+DW6XfK12wdsbmGWurtGLQCyI+9OmA9/5lk6HxnDwRKpcnWVNxufZkPANbDrrHztC6LJ49jwZR5WJ/mW7ZaNam8I3bCryiY3707V1eOO7z/k95IENAkQjJwKRuSpIFmVnaPKtGKWvy7E2I4uaTDujZ+5GkmlxaRPqcgdpach0uRBnsKeBtCVditNtn1HFby+LjoC9/m2nyoYFhJJhfUgQTiqlYoi/ZZpitGwYtyVJbE4Z25B+vZ8iLdX4uSrfSyDJUWoK+LnuXyi7z9Pe67F10l5SBLdNBNTm4ZRZQGrRMct2tykGmilHSzRpcXoG/+nKNlWEGbgdwT4KfTtYqp+XHb0wBxYyX8nkqnbAykMdBbkpyJZ8zU2q0zYPNVIsrozDGae4JP+Ftr+3xiftqLHUUyAiMIkIzFGK0TqV87UqavHiPTocXdqFNV/ZUn6eglhmbC4EVbuXJQS3L4M7OlRPmZf1dJMVszujlTHcZdOuSbfqcJBDjiq7OLkTIesRMP0Gjuwivi1IDBH6a5LmwEV/+z65JwY8BfL1le1xzizJLlzRbBu4cUCrzne1oYDmmvbMNYN3XSbojQpGKV6WjCCwjvFrMp79a4eFnqpiS9lZSlgqr7Jg8KS25ZcCUjhEMrXsebaHFyaaHUWLwdaoMrUSVfPE48dAm5tarQr715h5/9hkfVAhCYoVgYLQrbyCrtig6fta8FwrRkr3pLOkHpVVGZoViDtw2c1BSGSPS16UssJEDnsLCLGvwYuW3eRIxP212fTBmJdmi9D4TGzIkJBQh+ktPaJYXFUdfMGydTfA8t+/LiwN8DNil51EN+iIAL7F1MQ3K5kyuSuxdTLSyoxJFue8Le3AU3O7rQnvnWwxm8kS6I/AiDp+QfODTDc51fLfftXSD3pXAdc0Ilx0cqT1Zc4gRwI+z95qLk8FmXYlSHu9QyBRbSvyotJRWSbf9ycZ6wg98a5f7ngk4fF6CiACFQTIQEjVSBGUR4/JkPSa32Ujk1EWRhW2YqZkss2lTje0aZrKAtLjeGcBliRCFcL8nMmCX/g1WjKw2ZeIdf8uZNG5UFS+7RnLVNQkTUzHaNz6eDZDWQ6RL2cjOdGPCvqy1R+tLigL/9QA+Wq9h1zJ4lhUsgzvTu7kkKX2/hsXXAbcq6+0SuGWCljFKuSGaw8TwB3/R5N7Hq663TWqnvaVMu3bKjb12ZMUZCTDHmHzcAhOjp3Usg0kR5NmsJbBUPlvKahprSiBXJIkhlhoVa151Q8iPvLPNL/6BzzCWLgNlJLHw6Isi2+ikQo6k9UGe+YRAMXnKeeF5g0sG5JT9RUoEOSizczMOdFsmBTty3vLAVBTEnZVjj6yGI5ZhNsNHYEwFkdSRSQ198RbNdFVjej6+55A9khZdh4RGU+5rA8nyzzLNV05pj0uRIsFTkgAlzZ1v9jpuC0qbz867ELhzOzC3CEvBpYzx/JivPOrxiXtrDEMPqtppb6ly9s630RtPQpWZmwI4ZUCvzR6uJY4M2FlyrVx8ZWWJyRNJIg0qkRhZ2g+ptJNatRbztlf1uevePl98VIGKHKqMJBKaIYWj4sbl5ybchZncZsFmmhSSKb+nuRArioI7kcoViwO6FUWfqBACkVqLUtoSyLOfOYwkpd8VYuz9pMy+RjJZS2Qtw8iy0jJUJwWzPYXeOGuoeoZhKyFMFP2hZBg60Z6U7qL8Zs8unCzupnFQr/G11wW2e71wTuzIaxlbuy06Ri1B54ubkj2YTUFdC26lEmTK3hm4dQpu34tY7Vo+fV+VA2crTpoIVxIr8sQOxQSpco31BVemQlu+qD4pgYeS11yuDc8aIvL+REqVhqUyWikUMjFIqYmGmj2bIr71FV0e3ufTCtNlkVSP41L5br+OErjtWpBnzRi5RMGBvAx6S1p8lQI9kxguAVSWJmnNSqbH7ej5K8gya04vMuUO6CL/d6Myyv2tODGEkWEwtLS7Q2Y3RyQyRm+Z7TJV6aDDNgurE5xd9AkjUVoaxqTJmKZe9+sygC8A+LK+LqRKmbVJay9Gtfe4Bs8mnzoWL7N7Mdd6JDWfMbeOMST8189Uee/Hm1ihne+dOieOvZ08GSkZSFeX8mctJ7AkpYt0IYyXZEnB4OP6e3SCb9aQbHOrMAV5ojDS5HIlSjykMvzoW3scOuPx3k9oojitMTASg2AoJNnWsbkWFxZhxkBuRSFRSm8+0+UZuGypj1MKi+t2FOk/LzF2KsDzhmiH3kKmpL2cMl3RBDb9nex9Ze957FymRxhZFlYTTs5bpre5zRd0UFlGiXk2bTjJIN5K//RGojittx17rJ/MWN8ZEdgRjZ3ZRIWtVrR5lScjZRo7O5TAyRBRArcq7U8vi3S8lGXdXWhvXc5WpoGl50ccOif5xN11ul0Pqiplb12w98g4iNHxcrJ8DkrnpvzC10vyjC6x40cpiylHR5W5WexpNZ8RSCOR0mlxKdxMw0Y94a2v7vG5r1U5dDa1o3BsHhvBALcXjjQpk+fvNZMtmRQRlN0VlTI1KQgz/3uczbPg0abXNZcsZDmDQn5kQM5MCJM7PKJkj7j3MZpfyBSBwBOSig+rwwHz7Targx61sIf++P2bOXde8OSTs2xsaKp+TCXQKClGQFwmpPXAPQrmMeYusfMo0MsuSmlqkrTrgz1ncVP43rIAd1mWuBS8STdQKl6TMkHpiGFkuOuhOl9+ogqBSgNL7ZwTWbB35h9nLkq573KknmacDPgff9ixgxEnpZS6tyLfCjzX4kaSCIU07oiGitdeF/LaW/uc/KzH0EgQ6RQfBLHQ9E0RJxTvIPvelt6TQI8EntnNaV2MIHHzhLApwEVqOKTfS4E0KZOnBVtZzy0lfS6N69jPGF4yBvJS6rOIA7MmGMlUU3LpLkmjOuSyPYbmhETXantWB30+t7K48R+q0LJx1nnKQmc12utYfhcCt7RjmnQ0cBQjkiR7vQxk0gxmCnBVzJ5W0qQBZWkguzLpjg/jVmAy+nXqmKi0FU35Mfc+6vOeP5kgsRq0l1YMaoQcK6rKrcHi/ebJnLHPuuY8iVFyWI+9yyxeLLmiNJJjNH1vZQpsIdzmUqbQ40Y4b1waTRy7/YV+9gfbHDiluecRifELFrdGEKEYpMyKZUSiZAVX5VtW2VR+5Eyecrt1y5rMXsuAn5IXJk3wZH45rjUvT/zIIh4QxqY2tU3ncZVBPi6Xi4YYrdzWkDONGlvmLmL3ti2f27xl96q6dNemrh0uHN44JX+kGhgCX6GVHHEG1gSP8uuDO2Poopak+Hq8YEqqgqWL3RpGJYkaA7fKi6Vs7ndniZ01hVVZK5qK0Cri1IrgPR+Y4L4n6m5THunnANfSzd8OSqWxa2q3R460fUuR1raXR1uUat7VeF/pWPNGeqHKsUh5clQu7crnWpaD92wwfSanLMJaZmdiAm15+Gmf1X6ptiBVuyb1M7ObVpbWnrWVkGvvVnGB70qiYuxHYvT3RWkFKX1dSJHiXeT2piiVWacrgZDuPuoOoNWvc/hY5wceffLwAb11g+sSDyPodBOSdMu5MstkOn9debLG3lvL3FLY9S/c2JTSfLijGJUlmQbP9odRmSWYf12AW5UrBMd0t1IxSZDwgU9O8NdfrWMrhe4us3c+jq30/setwbI8yS9MSYOPXPgXdVSKzHFRXVgw+WjHfRFwGpmNNCuX1GZSRSITRSI0sp/wtjv6PH/E49f+WBOORMWu33NoBMUOm2WIZu+70OTWCFdtSFEkVbTjlnR3+k9lSrsjQWh67pCuS8jKdFU0LvuppJtdLnP3JmX/EWlSPs9u4+EohnbXsNqN0cqdO33JRSFKCrq9hNPnodOHYVQMZ88/QKq91rol6+z2lWcmC/CWA8qyJi+2wLCMeN8lmTK+P0yZxQuAF0CXJaBntd469b6/+GjAn3y2ziBJp+DLIrGjUmmSa+/yUJ/ss40F1WukWwkka3E9CvIiLZ4xnV0jW8qAzrW4LCWAZApuYZ1lmEiMUCTCIIxBGk3gGX7wH3R54CmfLz7h7MJMqgAkaAa5Gi9nPkogL1UT5oHnOMDTTGfaHUM2OyoLNDNEOpliwbgKw6wjQkr3O25Us8jHU2QZ1VEzpSjcAjc7cxgltLsR/VCko40senG17zSVgGZdMAgl/aHbT1Hgls2yB87IBS0Bt8zIYnQZdctwacxuGlSKEsBzUGc1HyMZTFPS4KYkVdY5Sq6JVDFSJkgZo3REbwj/4Y8mOHI6wGbgFg7cQoh0D85CTpU3wVrbOb8W2M7TkgWW1yB8LG2W16AUzD2S1Sx54cUQyrUbV5l0nJ4xpQSQVG5XY6ORoeHiLRH/1w+1eOCnAzqD9I2bLMhyO0oMySTKWpDbNL2ocnfNMW86rDZPANl1g83sZ2mgmZ+fwqJEFrpc5gyeNYOUxgKK0dMrM8ZNWbzbM9TqCfW62/VBJ2IridVUg1W0PMdyp8pgUAySF+kbXS/YLHffFNnIsXT2GrYua0tTSskXAC9/nwNcFRJFyoK1s113ZQncMkvopAGm1hFxAr/7sQZP7K84zzvtYUS6HZSVcBWDLrEzFlSOyZP1UvN5kiKTLullEGMQX7fHzxZsniV08mQJ6egyxjcAGwe7xKZ+uBASYSRSpC1uQiON4fq9ET/+HS1++y8mCZOMxUXahgOxUQzSd53XjI9kNUVuEearTho4ZvP1i6RP+sGEkyY2ZWNS5rYZk5uM8W2upbPtKrNiFydPspu9INosnnHj+QRaGY6cjdmydY5LdzTpDxL0O95+B9VqkyOHH+G3/ug5nj24gcs2Seo1RYArvFJZlrQM7vK4shJDj4NYrcvk6/3u2mSOTDc8Gge3LoFbqwLcSpa2nk6BrlWMriR86aEK7/9Yg1bfAz/T3h4IjRAi1d5jwfAIsO0YuEfrv8s1ONnJWld1i4Ktx/Fuc4TYkheeJktSaWIzi1CWasVl0fHjnAqJTW1DIayTKrGiWTH8k7f3eOy5gLseVFCL01b3NOiUgsjKdCduQT59Z0SHi9GmyLQOhRKLZ6zuPk7WSVT6/OnqnTdrpjeClG4kILjr4IbbFyUBRZdzYYDodK+liZrlxsv74C+wZddruf6qm+h02+gXTleZnaryxSeafO6BOpdscFthJInF6uJNrZexLJbvtYAt7/i7Rm+v53WvkSqGwvteH9x5trLE3DLbVz2tGJQ6Zv8xzX/5aINDi55rgxeFNEFIt0V4SZYUKfmifnokwGT0XJTjyxGgj1zUtSSeP5cDy9L3ZZlS3ps0HwgvUtCnMiW7CZKUvaUs6lQSoZGRZfd0zI+9o8Oxc5qDpwVWp0yevnFrPMIMQGnjcN5hPAbyTNpasoCxYHGZsXpJmuRVCRKkIZcm7vds3sVsy8C36VwV5VhdpDd8dkKFSCcbeAZjNW++1bBxV0J9RpDEoKOhZjhQiEgzW5FM1Fx/WxnQa5I2I8FXavWNgHUc3GuBPMLeZWCX3ZJ1nsvgLtySIotZvBbjBxHnWoL/8EcTfOIrNae71WhgKVPm9tPVJZ8KNRI4XyColKPAZhTHa2TIhV63F/h+vcxmPi6vBHQjRTrpt2DxREhE4hjcGOuCzsTgScPb7ujTGgh+5rcV51clBJH7o0akWlgTjobKBQApLedkafnsznYfwI7/05S1U1tlbOsg55ljit8R0rpZ3cr9bl4/nmn7dGXLz5d1tVOtjocWU2yVNRoVTRR6yFogadb9c1N18YWrL52l6kPgSbSWTuOoUR929OsLyJKxTvds5sdIVnIkYCyn3Quwvji4zTq2oLMCZaq7Qwyfur/Klx6plmpNsoIqZwtm3Tr5doQlWbIesB17i3UZO5cqZUVSlrD5Or4W9GXWzizCkRJVS95tXwwFyrKc5AHniG2YNygrt0e90SSxRljJ628Z8OaX9fBFDHEMNgaTHjbGWEtoXBtYaCAygti6rd3jdL+mJJ/XnW0jss5r2aBMS75TSJJucmXSf2OMdc+WfHNctykWpSSX22G7/JyUJswOQslqR9AOt9IdBF9AVM7FiYf6/d/7HW666bZVzxOrSsTfvbqySK3mSmc9T+bDbMqDdvKG32zSVKlAylX7jbog2b7yo+1mdg17K2mc311qP5MlS3BdWZJnLlP3JLUEE5nwN/dW+ffvneDo2cDt1S3STh2VjoIoJXWyslgt3VB7lX/OUi14KblTdBuJ0dfT4KfYiaIY1p/9LK97zxM3meUqRohkpAm7lAEW4zcgxetru/zHp24552O6mXD5JREn5xUHT2iMHV+OnAQyacgp0xtUlJcrxu7w/KYu5MPIsrbmzh97ZHHLiKQrJ3qKMrbss5d/HkUJU3O78ILJ/+3kyaMP7b3y5ek+mSIBEjcIv6qo+Crddi/d9708aEeMg3ttM0KexcwZ3qwvU0ZsQcNIcDlSEWjXgNvZgKUkT6a/0xrvU4uS93+8zoHDAdQL1s6kiRACTZqSlyVZUgqI13VNyrKNknW4Juv3YnpllMAz/Z29uq4mp7xxVCkINekE4NxRkW6zsPRnQso07e+cFRd4GuKhYe/FMT/41g6PPONzbKEUOEiR2yEGxTBbTUp7yuYyI9cKqaOSBZep7MhrxbPFS5T+XWoNFucpC1azunNbDFLB1Yln90acz1l0ssakf6TbNfR6EWEUA+kmVFdfeTlBpYKnLMuLpylv8JTtLZkzt7owuAsdXZIvKSsX368TUIpRcI8Cen1wO7ZPRuWJdP2Vyx3Bf/5gk7ufqKYNDFlgmRVVyZFy2NGiKkY6dUaLxEYDS8QoS4m0Emk9wrogyMsyBUY6esqZzSzAlFmiJw08RUmSZC6Eq8Zzgac0FoMlSdsV3C4dhlhY6FnuuH7IT35vm1/+40lW+ukHyh0UdycnqX048oGyQDPVYA5fApV54+mNYEldl+ymKNmIlnT6bclmzIPLEe1f3ECjj+IfxQlgJVOzW9m1+3IG/UF+L7Jp0yb27tlzl8fSezbP+elmTaR7SaaztjOQj4xNK83SK9l/4+1kZTdkrVRZm5XMZvAVGcl1wJ3KEzmivyMG0vIHH6/zRx9r0Il0qgNK2lu4uYi+KLT3CLDLNTWsp8PXVlkWK3Txg/8ecBcPMZqmHwF7ceSMbsirCUecltIkLFsKOpNsporNpq5qp80TRUPDj7y9w49+e5uqjSEpdHihyROXKbQwNILQCCIDkSHX5S+uwcWYTi8PsC/p8vLPk/LrJc2dOIcvzg9DHFvCKKEfKl44fP49uy6+7K7ZuY2Ai1P59V//dbyqH51b7F/a7sbfZpMY3xP5Hu462+dGl0Ced7GzLouPAFutF2CWdPd66fjxgZOq7JgkjFQKpsGl8A3PHPL5lT+Z5MS8n45dS3W38NIg080YLAqqCu09smND+evMWZGZvs508ej2hq7EeExzi3TYaEmTj2vsPFk2ljFdW5q7vhYvtHepPUwWk2Sz4qvi/rP56mMtVLyEDVOG+572OL+oUpmx9i62yGJCLIXWzlPn+f0qSrdu6edj0n30Hh+TeHlwLkYUTHlvoayEVgi3CfCWTYq5qf4HH3vkK/e/8o63AKW96u+8880EQYVHHn6AowefpFkP8D1bYu3xbpuSxl4TYBr3O6VGhTUeeJbEGfO8pUgZW5hSoqdI4kiZlJg+A3qM9g1PH/b48fdM8czBAOulmUpRKqgS0mW+RKG9M997tCR2tPakrLMvWBabYSIPkEplnhd6rJEnZV3uJIgc98atq7OQJptFklqERuTNAlI4FnfZSOm2AMyYUliEkQihMMLtopeEhqsvifi9n13hR35FuHnoviikQZaUST32YY7aQqIUv5Ol79PXRySJG0JUrlEZkSXpfzfLfNrMQ8clG42w+VzEYjt54xJ12nD53mu5/fZbGQ6GwL8bBfj2LTNUq1WOHqxxLhBUA4vvlXVyxjSjXeUj0iQFazFybdT3VmPgdjeAGQF9LlFEqt1VxtplZk/rS2SMFG46bMfC73+izpPPByQq1dqyBHAh83oTX4wD+0VqTuCCgWYhT9axB8mmW724WClGEBcMlY0ozoGfWoLKllPWpSmvxv0tY0FYF1QK47wPKVKLTZiURSUGhRAp2IVFGItKLNdfHvLP3trlZ3/boxMLh46MsvOEjCZBMsx98zT1XgJ5Ng3LfQ3K2JETZnFYAdzNUMp+ZkOHyoGMTevQXb+nTXeRcFZ5nICxCVhDbKoofwMi6efnNwe473t4fnBo42ztcHdbZbeSfZSSIxUuIr3Tyh04YqQ4yqwFsyi9PpbIKW6AdQJKkfneCUXtSYISBbgzx6SXwPs/0eCjX6ozHAd2/n1Wb1LIknLWck3NCaMtaiOOyboBZgnwXx/Xa5h8pOGh/FpeypluyF1K8shSvUrO+CZr+RJ5ACqsCxRdwtGSWFcrnrkqYCGx+CLiHXf22Hdc8/6PN+hGuOVujXuicya3iFItSlFklQ0DUiYFtXSFWhk7k85RKbsrWfM66Rjb7ONnrwth0/2hRLqZlrshen3D5GSVxPqHPc87NByG+alV2Re//uu/wY/941ccnpnyNjSC86+WZhGtRHHBR3SoLfnE60+aetFmhXLQmSd8iirBItGT2YROlkhReN5Kuu1GuhH88afq/MofTXJ+2Xe2T1pjkutv6WpqfAGBtM49KWnubIe2cv2JGtPjZe1caOtxLS7TVa7YACDfGGAdDT4ih+SY3s4K+bOfjawsds2KIkf8b9cJM/o7dmT1GakIFcXNNdk03HhlRLsnee6wJoxLv5zLiYyJxZpdG9b619lrY6tcIc7HXivf+GJUxqU3v3H3I1EMgyEstBLqk5u5+OJdv/vUc0ff96qX35j/G1n+79Vq0Gz6n0G0ntw022WqOcT3zChAVal7fez1fE7gmqKpcidOETiOVgXakddkKQ1fBreURQmsDAx/fU+Vd/9Rk3Mr2tW6jtiBqvC8RbnPcn3WLqzBAmzFUdqtrAycLHgqBUkjUqWMDTGup9cyefZ0oV0NMvbO3ZWcvdM5KjbbhbqoGc+nY41kOEt1KtnXVhOFis1TCf/nP2nxD1/dc6nMUoYzP0wM1uTuysBAaESa6RQkWdbTppnPbG95Q+n77DWXJV3rvrjVJs98ln8ngTCGpa5lKdQQJE9KXftMgj9ySlX5m//4Wx9iX3v6xJeetLdY07lh24wijAKSvMKrsNLKg3fWG6dWZm65BuRlth5vZkhQZZCPgdsxeISuJBw64/Gr75/giX2VtHHYW8veqWsSSPKtt4u93YstUTL2du1ntmDZCzF4npEsuSU5467dviV7regjLOn8UtuVKN1cxe+INa8x0tht18YKojSHJGOz0sSp0Tr24gbMNNLEREK1YnngaY/lFUk6SKV0544xeU7SYh3GFkVAWdZ25ScrRv7b2X/Cjvy90oAlIDaWfmy545YOP/rWzqcngid+923/8KdGAK4Ze8xMXAVC8vg+j6oYMjup8kIqsSZB474WY6+NOCZjQWSe5BGjrJ1r7sw9uSC4Y7SfcPi0x7/9L5N85bEqVMpd8aPsLO7TUAAAML9JREFULUXhmozUeY9lK8tgKXR46oWPgafsc+cAyXX5/4j4Xp/BM/E5OgSoWJ6FBWGES+SM6HFRVO6lz1kAmgefab2HSF2W9AUEKs0UWhd8Dix33jDkl35slX/zX6Y4ctYHj1KRFCOa3CAZ5ho71eAjWjz9WmQNy671LZttKEW6ZUopqLSkN3OeJHLaXAknKRtasGVO8vrrZ9izYyfJ+N4m6wH8p3/kDWilwo/8ZZ/5paMEnqBeLYLAsuQoKglNEWSWA85SCr5wU8wY2EdrTNzPx8Fd9FdqL+HYvOYXfn+Cj95VI5RpLYHIgsmiDFYIx9Yjs71HJEoK9AzIZb2bMUV6gsflyRhRjcmSF98HchzT4+OUy/LEqWRbymgWLku508UBX6RH+nVaWSiyklORfm+ybKsDeJbhFMamzRKaBAh0zDtf3yexgn/zu5McX/AdYi4AcoskytwQmd5k6bMRoNOI3Rp3HUj7NLObgLF/W3Tul65D+nmVhFog2TCpEHoPavItIUkC/KsXB/iObbNUa42fvvHai6848Pz8HdiuC0RGUuxmVKaMpd/FGmCb9QGev54UQBcug1kGt9Pdrqfy+LziZ//vST72xTqhLJW/CjV2FK6JlsVs73I57OhWJKXgjXGrUKzR0oKCyXOgjyH9f5TLRwoNxzS4a3zIWriy/e3TnoER8Ke9jKK096aRGGkK0Gflp1Zisq3/jB1dlQBii8byXW/ooRX83O+kIM8tj5KGMIBUGBQR2XvLBnSmB65SUIlRlyUf3pleE5u9Zp1yKL+p7L3btDpRyCp+bedXm1PbfrrT6a85p3L8hVq9ycMPfKU9NVE7MD2hklolwfeyUQyFjtZqzD1R5VLXQkeXM5IqTb9LVQJ0uZ57HXDntSY64eyK4v/8vQk+9sUyc5dbzwpLsJzQcfUma5M5mXYd8cFLLD0qXbLv1xunMSpZ1pOq66F5vHK2mDC79ndsWlBUFFyNH+Rls0U5bRFc5p1AJusEKvV4GoGxqpTKV+m/c+l8nQje8bo+//7HW2yejsbS+Ukp8EzAJukgzDS1b12pbWRc0BkZiCwkVuTfxwbixKXzR4NQ4YLQZDTFnyQ2dVAMg0gkQgUHPv+FL7Wbzdqa06wvdP4xrR/ftU3c0mlH11MGQck5GZ82lSV5yskdIew6jF1i7pJMkRnYRdGdkzF34sH7Plnno5+vE6oM0OXunJTFcdLEE2kJbArufBZJ7ppYRoM9u5a5S+Add0bWA++I3SW+/haLlGTJuvp7vPAqA335SJf1fHPerEE5ZfE86ZP64liZyhWXMMmkSmYZClxxlhAKURrfp0l45//T3reH2VXVZ79rrX051zkzZ2YymSSTO5mQm9wSCTUgRZRq6oOKt9Za61NrP6sWrVipbaW19UarYhUv/VBbvtaigBQiiCBylatBDIQQEiAJuZDJ3Odc995rfX+sy157nzOTAIEA7XqeM+ecffY5c87e7/rtd72/2+ur2P4Uwxe/14HQBEMB6QQGUMljQh0BCRWvTgQcIhekwtDFuFC+4Kp7srbuypozoi5TJF6HhJFAnRBMNTNbDo1MfqinXGx7iGm7jevWn4m5vWPRgoVzRbkjgO9Gce8b24obyx1b7NaGT8n63PHNiiuxbjTlyGEsAlyBm+7O4oqbcmhQ20tpO3W0JVeSIIFJIE6noqVvScUipRVj+rBZDfaYvhADQnufdmY8ESqbtuQpCy7UmU0W51TWF3EShDz5yaSIRI3DdnVUTB8gqxenYJZ8yKQl5xReJPDOs2s4a30NJFIWW1twnpIQudT1IpU0oWXEQEAFasUBWwEnCCMrgEtZ7TCCSa4Io1huDDnQCIHxBsO8BUvEjn3N6A2vP6stwKe14L0DZ4CHtSvGh7cvq1Qn8jaPdlIZNumYEkIsHp56TAkHsWNNqLbkseWOawhGoA6w6a4sPvkvnXj0SU8mLiQWk7ZqQmJvpaYmOghMgVvTFDINaJPx3lZhHyO9acASVVbEQnEC7PG26cCdGEQD2XLRW9bddFFo83oceagngWXFjRVVYbTqn5lQAq5TGaRVl0qEULaPxcFZap9ViwN8+fxxXECB6+/KwbRi02GtWvUw31B2mAiUoY+4DJcw1lydD+n1l+fPFNUX0vMqhBQLoOJftMHpmdVT2fiGU68o5DL4zMfb45himuHnFor9T2/7mptfPRzx+HJuShUner9HqrlT7HVkiZrcVohrOjWNRmDE3i+mJdQFrr0zg099vYRHn/KU1m274eM4ExkGa7niE3QkpieEtlrwdjUV294sg5yODbdff9arSxvI9mNFVxLtrBEXZRIWt7YrX8XbrLISgkIImnAS6ZLMcZitWpBypva1Obmy6g2K4xeE+OKHJ7DxNVVpZiNlyXlr6htUnIgQQlpeZc0bqqJWQ1lwGYIrrXgzImhGMW+3ebm+OkFwvHbdccObf/3I11YeN2daNujMdNDLs1YibI6jMnIPJqcCNXuSDZ1sTVtabq4u+bH11ts13ybElgRtzs1BSQjmcBBH4No7s/irb5TwyBO+LPWQ4N3JRSUh0pHpJhST1sL1ieJEacudoCTJfjvJ/WI0J/h5SmmJbeU0oG4D7tj2xW1BTEaP6Ytj1U3RKgtXNWy4MqQUICqzx2jfSj6U+1KtEsrXrTLKhui2zFX1DZshVi0K8Lk/m4AA8JM71eJOJQmr1HelXQIqLR4gshZiAAlahwCOIPE6ichrhla7IgE4QsARseUGVF9Ov4gTVy9Db3fHjIZjRoCXuvsaQ/sm/7QSLf1RpbY9X8xHKi48guvEltkAmfJYUyVQYFeLTZuiqAWmBL3ltichCOOAA1z/yywu/JcStj7lq4IlaRmQWYvKOEow5t2ixYInFRTNvUXsom8D9tiqkxYrTlIgjy//8fbDDR3LpgOskLDe6kbs7cni+ERYC0wVUkr0a1x6M7kBNgUBB6FE1X+3Fp8q+hBqsQmVmWQvle3HUTPE6oUBvviRCXAB3PDLrEVPkKIr2mEuNUOhur81CRAS2WiZEdl1gpnnsmS1ywlcVZiHEgEPAlkPWHvS/Irrsj+d3T+78ZwBfmioyv3CcfcPLPEmthzalWd0Cq4jW3+4bmg5Z5TNIdZqXPM2qkHNY26uKAkxfFznWEYQjOCn92RwwSUlPGrAbdORtLdS8jaXtpEELe6dLAZqAd4GMU2BWVtkC6nJCZCMQ2kZlmk/UtaSWGTq50ZVacPNLcsuNe24KL1OaYsBryINlfeEaI1clZwjQgJTJyYnrkxCgKuIRKItfACsWBDg4o9OQAiCm+7OINJ83J6pgiesuPEPC5lAwUEQ2gZFHTFHnVffuhj4jkA+5+K8jadPDB638P6JiQk+0/Gc2YJ39cJ12KGpseZ5S45bfmswcaubz3K4jmwBoheLurSWBoCZ7bYlV84iY7UJB9FSIJH0RDCCWx7w8fGvdOCxXV7KctvOnBjciQQGknTkJIKpkFJNpuHYh3ucwm1b4B8xCbetdxq4dkAWSQHdUkyIFS4b0xWYnvHCBjcVqoJrrLKo+FNVfpjElp7qK4QwyROJ3En9K5sCKxYE+MrHxvHhELj1gQwiIAY5F+pKq38hBQRTgFceIL2AVsctUkckIEA9IqgSoMYkZ68HId5w5pqgUgvOKxSKh7KZzIyHeEaAe66D2sROdPcu3NuRG3mi+swtg0RMwHMEHCcEIRwCQBRRlR9onS0DDOUKphwEMfeWlEaBm0lw33Sfj/P/uYTtuzOqCqbtxEk7daSFTiomSWoSF++JE4ft8NE02I31RhrY6TbdrcC2R2LBeYTDUBQSF55PAz9x096/1GOucGO4t+LWgsXbTIwrKAjlMXWRZ8iauzIjKP1NjVauqUczwrKBAF//xDj+/MvAz+/NyHBtlv6FGtD6sXKjCmofBTmLuFDZPJAqDHMxSQTmlvNYtnzwieOWLNr70NZdOGHlwhmPK8VhBqEUbuOHu3L+6Ac6ewaRy4yjHlZw9yNN7BpqoB7V4bAaXLcJhwVWi76km92UVDPFMgMwEoK5HMIBfn6/AvceH8Jtx7mtUFhCQJTerSvC2tTElgVb2m6TaSw50GLRKUVbS26DOMVg4tOkQT4N0tN6d8KzmY47ScSpEMC21qKNgpLWylMtUERKE7dLTiQ9oKnQWjt52RQUUlp5k2LZQICvfnwcZ66rg0ZK1BZRrIsLfUuH3QbxjTeAsAFHVFF2JzA4exivXfMMejLDQGUSrzlxMUYrUx/4+g9u2sUYw+GGc7gdMoVFiIIpUCe/X0S5O+5/8KEN/+/GANfdVcSaxXWsGKjiY++axLzeCEHoygIyJvRREicKDlgauKYpzBfYfYjh7oc8XPTtDmzf5UN4KYvdQlGoie/2iV3PO6lzJ7uitXLvNE1p4d5A0pIjbd1TceCEoK3Xs80jA2qCBK82ICbJ3czikogEB2+pkQKtnMDwbs219TZdudW8rheXkFRSP+eUAzooiwpDXeQv0XQlNtMUEp+D8wN87ePj+Mx3OO79tY/dhxypgEEAnCnrrXk5jQ+CmdkREIbo76vjL941hhXzOFYtFrj6NoYbHhjAORtW3vG+t56+f2yqhq42rvn0OPwUAPD3n/0cznrTmSPVsDT5w1vz7/jmjyYBWsLj+/L41RYPnZ11nLamLhcvWksgWl3hcqFpRwsSAeYLbN/n4nPfKeKSHxSw+6AnE4Vb6IhdKDP2VPpqUekqDs5IqtVISkkxgVbUbquSmgA0jtWO97Hjt+P2I0THh+ttKvab2I9JDHyaeN6G3wNtaFSbSZda4CYq2yYmXpo+icTVx96WjI6MPw/W/2sbRJaSSwECEgE95QhnnNzE7NkRtu1wMDKqTlBCHrKnsFH4AcHhIcCfvXUMH//9BuaU8oiCAlYvjHDma05F35zFnxgefuzO+XMGjwS6h7fgZngrwf2O+1ctwzXvPGvq3K3bnsTBuoeRMR/7hxmEZbXjFnEyFF57Mo1s6AM79jn4+28WcdVNOdQ5mVkK1BSF2p5Ku2iPvcCcnprYakmasrQATydiIgZLIu675WxbwBFIWffkfnYhdxs12nonrHiCd8e0hBCR4ua6Waww+rax4CAQgqrwVR5bc05MPU3GNf+OuTihcTtJAUC1SAMR1OCRQFLoyCrcQwOBvq4I73ljFb4n8Hff6MDOfZDnmFigFiJ1YLXyRtBf5ggrGew/VMbwWAYdXadg/rJ11xTKg/cDE0cM2yOy4ADwvW9djE+d/6fjZ6xbfveunVuX0nBi0CEhNpw0jr945xg689JTJn+jlgOTQViEClCPYOc+Fxd9qwNX3ZxDHVTmURIN8JiKxOUekhGCPhVKOYHppaP7yVOVb9kSEpsoedHavSFhvW0rrbm4Zb2TVltn86h91PtarXbSgtvJy9qB0dbxpK27ttawqRUx1ElPpOksuL1N3tv6dmp/bcUTEzd2WdkWPLb+cfNgQgREJOBSgWWLI8zq5njoMRej41SpKyTmXvYXgLQsHAw7dmeQyzoQYRnPjPaCeouuW7bq3I+Oj47tzuYGjj7AAeCrl3wZv/u7G8eXLpm/WgRjG+Z1jeEtpzewoC+SFpzAUBCSiDXhEr8+wVPPOPjbbxRx5c05NKDyxwhto5IkS60REpc59qgVQKWThk3MidW9LAFwkaQeCYBL7xlJbU+AmpKWiZAEtAqlVY9JG5rSAvAYS0b/RQrU0ABuoSjT0Bm0AptYaNV+Clj/CwmwJ2PcQVS3B5LePw32BGOR+wkBjwosXxyht4dj8yMuxsdJHL9iD4LYqLEMJmoF7D1QQHXSQam8EMevWn/1vn1PX71w8ZFREz2OnKKoMW9eP3p753xxbPipxZWRoXdm3QlUqjnkcxLI8sdpl7203KBAU1BsfsjDN6/M4Uc359AEjcurtqgl9nN51BhJ9o1PeittJ06q/ANBSxWo9OKyXak2bZ3SIET63qIxiROO5L7tRpqpJGEj4udtAq4SC00TIitUCxArulBp4tpRogtyCsGNrGiolPGOEsDQEA6iRHECgUg32qbcqC9Sg5TrLg5q3PyUAlEYwWcc73xdDeDApVfm8eA2TzamNYPGk4wwEOYh7zE0qiEmmyWUynOvWH786i/u2fP0s4Xr4WXC9JjdPw8PPfjz8ULn0vfP7w/vzGcDqYcrXsgcDuZEylMpQBhBTVB8f1MO536iE1fcnJOt7NqC2wY5NasuDW6XCLOgpEQkFpLtwmHbSYO25UxUq0pfwgHLQiatrwRuDMXWCWCjncx8QEXyvl0WfVsdPBE9mNxuB2fpjhBaGtQ9fuIQWiQDs1SSgX5PIiNf6JqHaQlRc3ydNMGMlCgEQxQRuFyC/Np/GsUfbqwiT3lSOtTRVLoGjBCocYbxhn/nqsH577/2JzeOL1w4/4UHOACctPZsLJtfqS4YfHPT9YsQ4HBZBEIDjNUjTDQ5OAOoD1QEwff/O4cLLy1gaNxBAA1c+0asxwyAdukSEyEY51VaoKYzxHebx+1LIU9nzSU1SFlv2kZVMOBOmvN0fMrhRkJPEO1fTAAatoVuvdelI5Lad1If11GE6UZW6X1sbdxMEE5VxKEFbDtikVO1LZ4AQjDwiMARAr2lCJ//0CTe++aKBHmTw+EhOv0mZmUbcEUDIooQcYFydxEffN/G5t5xp/qWN//Oc4Hqs6coepDMKgjB70P2t9ez4Mos6ChuuJvimts60FniePvZdfT1RfjJbRl8/rICxiaZZbXTN5a8VxOAEPkFE04cEst+02nb04XBtk4AYni3vZBLLvRiThpr4u1zNBNs5QgMt95FKyQEKQutQiAIiS2yHVJr6vdZ23QwX+I1Vc8QWvemscIi48G5pC8ATD9uFdcilRLZJiV+r3pMZKY+BI1jV3TpLUFBISBAVfVkASI4eChQLkT47AcnkXEFbrgtg1l9HOedXUNXSeDqX+Rxw70Meb+M9248ubbh5CX3Ufqc7PDzA3ixmEcUVD+dWXKGeHzLvR/71g/GM//xizKe3OkAvArXG0UUEXzvuiymaja4NTLU88Q9sR7DBFE5KRkwwbtpq+OGWry7XdyJDW57G5DWnK06HInHGsmW274NH0e828wIR0o61EKDJQ0SoumH/N3G8WOlt3EhQNU9tDNHlVQz3BxCOXj0Z8JYeRWOKBURKvm6pMdxaC0XXMaz0DjsNp5MQllv1YaECtVfSgGdyzBqHgl0Fzku+pMpLJgrn3/k3RXw0MXJS6pYPrAfe6aW1c994+lf5XD/ulg4vENnuvHcpwYA5ub4k0/8+KKtexd86Sf3r21OVMoo9GRx6ikB3nx6DWtXNdHhIQYxSYG5HbgV6qiiJA6E0bt1fZZkKKxoY9Hbc3FtpY28h/a0xbjpSetNTwLD5YE4VpC0gnnGRaZFSZLW2yjCyRIS0/B0nWgcu/aJ4d9Jd73FyRM0xOqcrPm5XWfcJEboZOUkB4//h5VQobR3aA1e0xZOVacIjskmcP8WF9femsNd9+cwfKAbOTYLf/mehc13nNXxpU2/uOGiUkduxmjBw2L0+bwZAErH/VE0Ec67t6cgmrP8qdeuOy4gH3rLBM569RS4ENh0Wx6HJl2VAT8N0G2XvEKW8VbSWOPW9wkp0JYGLe+krX8naQtpkQkTWjZNTQJFU+wqU7ZGTuxtlhQYXyHSHsxUKK6eJOnJlJowiUWs3t/SvBP837y/jU5uL4StyZdYRNvLCvt7pNYhSb3d7hFkPbYnMIh0FKnjuXeE4JtXFHHvlk7sPFRGs9aJejCbZ4qDF52ycu7Fi3sbjX+65MfPC5/PmaLo8Y8fext+9rOf1diSwWsq44W/41O3Y9VCD2HNxW0PODg45coOVoZHqZ8skHQrGmsuwWJLgrbmbScx2G3/YuoxfXBVXJR+Bsut6UsbwBlXh4UNO2OHmC3PftjeS22siRWAZay4xc21DEhp/Lr0WgpViTbuGEyVugK1P7fqNutYFYuEA5SDaMpCYBq0Ehpbf6ikCA5dZ0UvUiVNgbLkhMji+fqSFXEKhBx9eY4z1jbx0B4XDz3eAS8Q+MC7ThJ1zL/mga212ms2vPX5wvP5AxwAli6eD07nPM545kO0OfZNFmyil23y8NX/KmGknpOeSgCqbm4buQAJE2EyO4h+nJQEE13HyAzUxKYZlEwLamNVqWWV1KlukRETVhmWBdPwxpFLKNONFE2x3fKExFxaqONml1CWHFv5FbnsOclVHW9iyYjG1a7BbqpUEfM/uF5UcsgDJqCqZcF8no4hN21WEMd1J36S9PXLBSpkH/l8JsL576pisjGMK2/LYPWJp/FZ/Us+tGbVcY9v23ngaEDz6AB88dLlqIxvbeY61l4Wjdya+8FPe7/y2cur2DfWqSLJoMImAxkimco+hIaGAo7dGCqWAqexzLQNuFOxJu0SjdM6eAsFscGrgNSqliRPpO22JpjZlrdZUyoLHCsqSXCoo6W7B5O4QbCM+NEgJSBcgFLdAULZZAEDdKoq0Aqq48WlmEJULAvR6WyUWAtSEqs0RkHhBtxcEJnBb5c8tigLdLy6YIgiR/LzQKCvyPGX7xhHT1c/DtWCvzhjw9rL7tn8eLT+5ONfOgAHgHxpBYZHd0flrj/a2fB/PZkt3FLMNSYREqbK3nIIwYEwkAK/XqXpwn9qMNIqC6apiR0Oa4fHttO4acriJvdpVU1aeTUSC1K0td7WArTt0Wm/1c6CMiBHTE3siqw6DcKAWiXimm2IpUAKO/NHb1efrqOrtBwIq3YhNH2BRVe4PEXceiyIKSbEVfCVDNOVk8f6haCUw2EhKBWIIgdhRBGEHsLQARcEE1NAITuAC/7oTZOBt2Hn/gN7ovUnLztasDx6AJfnoYjtO+vXnXvmq/+MBfjqP//bz8v7hyaR8RjGA4JmxLFgzhR8J8Ku/R4mG15s4dWCSHstp+u+kFBQKBKOnPYpaaTlNZuWJEoUw3yVlEdTW2/SYr3tv9NRk7bwFqn9Fag12IHYouvd9WclLLn9OrFUGK7UbSr5tymECWEy8KVrX7r4KU1SF+0919k+XJ8jQ0v0TFB9OnUqHIWhKITI9MZqM8JTBxg8xtFfFmg0fdQaPigJQJxOeJ1vHemcddr5PKpeJ/DcJcEXHODdnV0AgIOHxi5/28bTnNFa+MVrNt3RW58aR1dAMGtWFZ/743H0lZv48n/l8L3rS5gKXRNlRBKLy2l490x0o2VhSdruZx63oSU2kClauXsa/DauLYM7Mwe3+AlJPTegJhaB0+g1vFtvVw2pNCY1B1efLHtkEiuCT+njkLmZ1PBrmJkhczethAhA6eA6GcJ8axBQCKKKYBKqivTIOBcAcBhHpcnx/RvyuPgHZfR0Ufzj+yvoLxVRrfvo7MxgwaINQ9nyGX8pePPyTH7OUQU3cBRkwnbj4i99AZ+44FO/PnnFopFmZXh9ZWxfftlchrefyXHiUoGergirltbx68cdPPF0FnA9gDpwqGyt7Wl5kKomtMRSTKgtEYoWLt4u1DXN2dvKfmYCxICmCXATK46lNUdTvw7zGcm4FULj98ptSRkuyfeTx9Osv+3PjF9NPick8Zp5lcT3CSLVTi60P5skl4z2ekT+sauExVXMGIuQzQS4/TcMn/5mD3YPdWOyVsL4WA4MHag1MujqWzc0b8nGCwXn3/UynS8EFJ+fo2em0V3uwK233nLZwOziJ09YOX9kfr+LvN+BA8MlTE3l0NtBMKszUisqVduE6vZ+Vv8fDerDgNuWC5M93tP05LmB2wZQDMgjXHge4bCUu0Sii0g8Tudg2g4e3Vw13ofrliYJJ47t7IGJWTHNY43jR74WJeoZEvCImERzE5sSEfAodgAJIdWWg6MM+yay8HIZzO2iqE5lsWM3RUgHRmpB6ZP33XPHZV6m48gP0ksF4ABw7rm/i4gH/7540cBHFs6fN9loRIg4hQBFtU5Qa8YRhIwQ+DoFjcaJDCaBOOGcaR/+2tIUqoWS2Dr4swN3eoFKbVNno7yFnmju0QbQ7Z7YPBo2iNt4MBOP4yjC6UAuuLrXIDe9fBB7Mu3k5Hbl3YwHUwGaq27Kunhnqu9P1hPI+bKYvUsFKAnQN3vOZKk85yPjk81//63Tn1sQ1ZGOo7vIbDN6SowL5K9gZRF6qP2b5zyUyefq+OkDDPc/lgVcF5QyZJmAz1TJY52lwxQHt+lHOoLQUJIYqLZUaIP2uVruNB3RZtm8ZrBpPTpCy204NrGkQr2SRKykcKHjZfRGFVaqvoek0XpRGWvX1OLkelEo1Q1ixYmo+BUe/y4tmrCEqmINTeAJAxABqvcmiSRNYdRBs+nilME6zlg5hf++twOjNYrXnLCg3tPb98e+l71qYqr+vNzwRzJeUAsOAGee/Rb0dY9F1F9wVX9/53vmzptVf3qogv+8uYA9hwqA5yHDCPIMyDABj+nW2ocHdwzKpKcyaWmTFt0Gt0k7o60WnpKkZJhwtSMpDbZbcAIpjq2xaWnayQcxFUnEo1iuAlN0E0laoq22MLHdliU31MSiJzwZl6JjVsx+KUtuF+fU8eIRJ4gERRQpCx5RhBFDEDrq5qLW8DG77OBdr5vAwvIQFs2fWy/29L9n5cKeq3Y8PRX93rvf/kLD74W34ACw8qR3Y3Lf16NC/zlXP/PU6Ht//MtXf3/T7aM5OD48xlBwBLKOgM+EAbbh1m04t61xx89nALfJnWiTbtZixVu1cajPQhtw2wtDO17j2Q47mpCkt1l6uXbNAzBleYSwClNCglxHVAIA4epLqq7E5l5/ClWF8kESFbD066DE6kScolaEqgknEjHoBJAVgxsefmddAOHMrt63s+N9Nwy99+rqPf8lLv2bd78Y0HthVJR24/P/fD3OOWcRjl/9uq0rNrAnM1nxurGJ8YwjGMpZIO/G1ttuwtousYHRdDBVKlDKLDx1q7800GNA2wFYuhREq0Ki9scM4EY8QQAkrH2sp7ebQOnXLey0uQLYgE9utIawtqfXA+kvZN5th/7GQVrC/nz7s0yJEAKYK0MywtBxQtSDCDV+/PiSBYMffPtbx69whh7EZz76gRcLdi8ewAHgsstuxAc/czq+8bGJh09b1bmvuzz39IMHqzk3qiDnE7gsBVyayoRPRQwmwJ1WTahFOVr4d5wVH9MakroakDhzLuUJnR7cSaAkAG5dEVoAjvayITANyPWwArRisKV3JamHKXAnFhIkvhKh/T82YQTWTJQUXS44w5AhCBw0AoJMpgtj4rThGx4aPH/Trzr/45Q5Ic4486MvJuSeV0jQ8xoHDo7BdZ3333DTXV/YdMMtvcMjE7L/eQh1iRPtQWvoQtIK27SFWRabUGI5ipJAt8ELIl3caYvaDsyY5rltvYGkjNjiFZ0B4K2TAqnPbYtV62rTPtlDl9Uw2U5GoRKxMTEGRaQ+y+6mpw2PUIklch8hgEbTQb1B4PpFLF91xtC8xes/xaPwu16mfExw9qJw8HZj9qxOVCuV775t4wbSkaOfv/7GW3of2DYMh7pwdDYOYsvMaBLIxLY2qRNpdwZuC25KUlY5nigSKIp36y9rWWJzlwZ7vGvifqaRdr+bgkH69RQHT79Xv0RMxg9URQdiQCn0sVGRgrGJl4+JjkkRIm4mi7haMNeeT3Wp0BlGAIw7X/9/RjgcVsFkYy5WLf/tob75p10YhOK72ewLp3MfbhwzgANALp9HZap62Ws3vDrsKZOvONde33Xf5iaYWhzpkPHYQxl7C4H4POlt7SS/5EIznayQTGqILafFo+0vnHD4tAf28x0G9Gm1hVjRhilACwJTqkRbUvtYCAJQC9iCxjKNLpKvVRQihClPof+7rlqmK2ox27qrgK4oAtwMMFYrYGDpa0cXLzvlAgL+b5ns0Y0tebbjmAIcAPKFHISoXb527atGxia2LZk7q/ClO+661x2bAnQzV1l3UBXnUUBKd222F2m2ikKozcdJYpGZjDRMWWlNT1L/pAXHJN6LzPTe6UYKoHZRTiAGcMKKayuqMWtp5/aVT+jjoay3Lt4JHS8OGS9OdJ1xyzOqv5BpZ8iVwaFyGyFchlEwjigSGJ1wUe5fFzQq1U8OLDphZ63p/aS3nDmSI/CCjmMOcAAgJMu3bt123fLjf9+b37+tumRAXPqvV/2GHNjfpF4RcBiB60qQg8goOKjmoGmHiO1pjBeSKa08sXC0OTFpD+LEl9V3L87yJQ62Sm+0HlrMI83HCYljrShVO1p0RS6QdSJz+r26UzIxjVoJkaAmhMB3gVymifGax1np1SJ0V3z4nect/v7+vYeaveWeF+X4HG68JAAOACtWLEcw+ZumM7/78lLHwK13Ptx8u+Mc/Ifxob3oKjjIehSOrrceyG632rlhEhQQL+Q0uJm5VxacpelJsr7etGMaLmxePgp4t0tETPe5cepaamNqf/tKJkjMnePQqfiSQYhsbUI17bGaigGyHk8zpGgGUvN2mXQm5fwA+Y5ZKPTM+tuRfQt+NNHs23PznUPNszccvXju5zteMgAHALe4BgBqn73kqu0Ll6z6QlfhSW9ytPDpseGnGSMhfJdBAJisRqjUIzQCeboYI8b5kbDgxAK3AXm8yKQqTFcWum/XmTje0rYi7IxDKPt4mHGYK4YQh9/eLqZFW3OuFtkG5GY3tXgEEBECSpNtaHQjX+lcctBoEkxUJLAdRsCRwbzS/MjLd/3joqWdX+js2BX1LTn9KKLh6IwXVQc/0vGLn/4Q57zhTeLCP3/Xrddc/Z9+zqfrmvUpJ+tHKBUAyoBHn44wUaVG/mKMwGVE8UIC5hDJ25kCt7qnTAKdMQLGqNxuO30seQ7aRa9Wb0ktfPoRvz6zTKj3JS3vi0dbl776Y7vzE+76dLRh6v2azoiE80qC3GGA63D4LkcuE6Kz0IDrBHj0KQ/7Dwk0Q4JCsQuDK9Y1Tly38eLZA+v/5g9/761iYPD3jjVs2p+LY/0FZhoTk5MQUQQQ8vmn9+xav/n+G2lnbmp9s7HL+d7NTdyzrQv9eYpynqOYIchmCDIegecQCXIFZg1qabVj2pLQwYEYNAYcIgEmwLacIvU8dWCthWZSW0/q4Gnnoj1sYNr/1v4uRs5Ti0STGQQbuJYSJXsIwFGPGYVqDSnguwIZjyOfjVDMNdFZrKNcGsPd2zi+d00P5vb2hfP6cne//W0b+aJFi+7mXFzoOAz5fOFYQ2Xa8ZKiKOnRUSzqhxc+vuUanLp2ZRHRxHd88Hd092ylF3x7BHv396KUJcqSqwWpo6yz7a1UFIWpRaa+T1hky/LFAUgphJl9dT1s0RbkJioQtj49/W9t+5JAywSzAa8noSygqUBu76zXGFz+biHUJZsCIaxEHhW4RQjgOmo/JtBZrGP73ilcumk+OkuDfM2aBVf2lvN/cu/mJyfXrHnVsYbHEY2XNMDtcdzqczE5tmNSkPxHXD5/R0DcVWsGG+c+uuMQwi4Gh1H4LkXGo/BcErcRgbRijMTUxKGyDpG2bCZkW13mIw6AS5WGQMprloIXD7NoawW5XCyKpHaeHsS2tNbH2nPKuqok/rWAccgIIZO6uRDg3PouZi1CIJhm3PE/EpC/NySyZTYXgEMpMj6F4ByMTKGjaxCrlh93zVmnbnh43arZl4xN1ifXrFh0rOFwxOMlTVGmG3dt3oFyR37BbQ/u/OqWh3eeu+uxh+GTSfR2+SjkPLiOPJERF0qzleB2HM3RVaw5Uy5pQFlvgjCCuUVcW/IYXRquxnJqKpPeLy1DQmvSKt8z4XltBXiCR/P2Ao7+DpwLRBFHGAmEUdx+jwBm/SF/P4XDNH2LFZsokjt7DpD1OTqLDSwecDE4uADd/UuucQurzgcmdxGy8lif+mc9XpYAB4An9o7CdZ2lj2zduSZqTP35nt07Th/a/wREVIHvOwgCgqmqQBBGoJTAcylch8B1oG5CgTwWziJO0AwJGk0pRYaRrsIqjIxILGsvhJAlrblQHDg2nYb/prR2quIB0vHs7QAe6ZLZPDlx7MGFQBQJNAOOZhAhCOVzvS9jgMMUsB0K11HHwZWULgiAqWqEIOQQIsLs3hJOPOE4rDx+0e0dRe+Sjq7Fv+E83OH4fcf6lD+n8bKhKOmxeG4XAOwQQuwA8PAdd4j+0ikrvn1g3/alI888xASvYMsOgkrNRyEns00ok1XkXEfAc+W96yjXM4AgJAAogoAYy6g7IxBY1WgBgMoJQYRABKGuFoDWlXXgVprW2NwcSOrV9uQJI229hXJoySsR1WXS9P5C1wQXCAKBWpMjDIWZTA4j4I7K+1GUhTF5X8wCzwQBtu9rIO85OOO0E6I1q5fvcFn0wYHFp+0HsD09oV5u42ULcD3UCdg+NTm6nXP+ho6iN7dw0sor77j7+o5Hnj6UL7khinkKxmQFOZcJuA7gKcXAdzlcl8OhAlFEgEkHExWGIABC5SqlVHJ4vZA1mjuUNMel1ZRJAzAx6BLMJBEUpoeKiTLUxf5cnS8prbikHfpzoVQge39KCIKAoNoQGJ/iiFSqmZzIuqSazEGjBGARA+dAxo/w2pMDFHrnV9af/PoJj/LzFi8a2MsY3fVyB7YeL3uA61EodkEIsavYUd4DjK2ct+gNp374j8m/7n96Zzh2aFe5MjVadB0uJTHG4btA1o+Qy0TI+iHymSZ8P8DkjgyGRvMIQ2mxpTJDVdhozOEpASKm+bpAoxmp4DC5j7S2SZoC6IUhMQoGtITHpFxHdY1KQVBryM+NuJL2GDXeV6bXEQroWZ9g97DAjoMCWZei4AtkPZhJJ/MmKSgh8FyCfLF7cvmKRSMrVyx0lqzGB0hmyT0L+wvjQQjuua8McAOvIIADBkT8sSf2j3aX59/I6Piyv/+HHzb+4/9e/IktWzb/wejQU0EUVpYDQcZjk8j5AYq5AB2FBrpLE/jVzhCX/3w2fB6gu0jhulJyhEfAmDDgzXhSM9aVtfYNRag1uLxCONJaUioA5WFlTC4sjZzHhUocIIBScxwG+K6A50raVHUJ9h/iGJsKwRQo4QGMMeVplN/DcwHPEejuDHD8khF87VqBBx/vQl+OoDPLEXEpw5Q6CshmvHqpI79txfKl7tq1p1x+3Q8+9U8nnPgP/kBXR51HE5yQ4vM7AS/B8cqZqtOMvU/vAWMOeXDzvSjkHZbL5S4Ng9qyZuWJ1zh8N8v5o5jVNYYd+0fxV5f1Y2y4Ewt7CTwG+B5B1ifIZhjyWXkr5ASKWYFCLkK5o4FaUMGlP84gbDB05oFchiLnU2R8Jm8ehetKGhKGQN3iyK5LkfEIsj6Q9QXyGY5cNkK52EQtrOMbP/YQ1inKBYJ8liKfZchlGQpZhnxWoJAVyGY4Mq6A53EsmD2B/WMHccF3cth3aDYWdlPM6/awatns6MTVi+8sFLLbK5XKhxgR0WmnrUcYhmJg4Mh7Tr4cxyvKgrcbc+cNALHKFlYr43/CHL+rXl3zuYNPXe/RcFvkZHMnPXpg3sn1usDcziZmlyn2HOKYqFH0dFC4LpVBXVRKablMhFKhif6eKVTDYeyb7APqLjwmKZDnCLO/6wA5X3L+WkNgbCJCrRHBdamS5rRFFvA9jkI2RE9XDfVoBPvGSwirRdnYlnLFpxkIBTyXIJuJ0N1RRyMKsWO3h2Yjg6ULe/G+jSX8+Je9v2JRsHnNqgH2/nef3Zzb3/NXtVpjtNzdeaxPyYs6XvEAT49cvgQAowD+DwBsfXgTxkFO94vR6//gzcF5HZlgcG7PFG65bzNuv99HtVGHyyJ4DjcaezbDUcgFKOTqaFYaqIchGg2C7gDIhFJRAaS31POAQo5jVleAiXoDD2wnqFUpeksCjBJkPFmFnDEBz+FmPUCCOoQoYKxB0FUXyLgCuYwAjyLwKILgcltft8Btj1J4XSegd6CIrn7y2DsWiCuXLe/8mcvE7W866/X43F8f66N+7Mb/OICnx4pVGwHg9uHhkdsB3MEjvqTg7+MHRrbw0erSRScMdn/q0DN70VH0ENSHQTGMQqaKnF+D6zTgugHCKESlKRT9ULIdJEfPeJLOzOmpwq+O4cBUAdXxHHIeh+9JHZ1A1WF0ZDVWz2ugFjYhGgFqDY6hsQBRyOE6DPPn9GHJ4n7k/AALF/Sjw9/zhUNT+58856z19FXLeqnrOjsB3Hju0s5jfWhfEuN/PMD16O4uA8CN+vm+/Qfxxjf6nXv37r/74UccZH0n6Ok+/mMdufDscqkOz2mgOfELPPiEQLXpIZNhyOY8ENpAtRbA9zg4J2BEIOfXkc9UMN6YwlTNwfC4h66slCgLWQCCgJIQDqNwvSx8fwJzCxSnvkpgy64uvOOctShkGXo6KEoF5yaHNr/istDtn7cc5e6zb//0kuZYsdR7rA/hS3L8L8CnGXP6ZwHAGIBrAWBo6BlAYJvDwj7fCzkRDRya2ow9Q+MIIxf5HEMYieC3z3j1RdXK1Masx4PeLg89XRx95QY6u2qo+3VsWJvHyEgGfSWBWZ0U3SUX3Z0CvV3ULRbzm6ojd11EKXM7CwyLBigOVgo487dWI5dxkfUIzfjsGQg8Obt/9rE+RC+L8YpXUV7M8ZOf3gFCSN++/QdKLgtFd8lFV0mgt9RAZ7GBgxMRrr/Xx+iYh668QE8HRWfRQVeHQE8nI53lvnEI8czAkt861j/lFTP+P7mS1dAaWiuuAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE5OjUxOjM1KzAwOjAwG1ghPwAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxOTo1MTozNSswMDowMGoFmYMAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 61300261
    {'hecke_orbit_code': 72057594071484050, 'n': 1, 'trace_an': 6}
  • id: 61300262
    {'hecke_orbit_code': 72057594071484050, 'n': 2, 'trace_an': -6}
  • id: 61300263
    {'hecke_orbit_code': 72057594071484050, 'n': 3, 'trace_an': -2}
  • id: 61300264
    {'hecke_orbit_code': 72057594071484050, 'n': 4, 'trace_an': 6}
  • id: 61300265
    {'hecke_orbit_code': 72057594071484050, 'n': 5, 'trace_an': 0}
  • id: 61300266
    {'hecke_orbit_code': 72057594071484050, 'n': 6, 'trace_an': 2}
  • id: 61300267
    {'hecke_orbit_code': 72057594071484050, 'n': 7, 'trace_an': -3}
  • id: 61300268
    {'hecke_orbit_code': 72057594071484050, 'n': 8, 'trace_an': -6}
  • id: 61300269
    {'hecke_orbit_code': 72057594071484050, 'n': 9, 'trace_an': 12}
  • id: 61300270
    {'hecke_orbit_code': 72057594071484050, 'n': 10, 'trace_an': 0}
  • id: 61300271
    {'hecke_orbit_code': 72057594071484050, 'n': 11, 'trace_an': 1}
  • id: 61300272
    {'hecke_orbit_code': 72057594071484050, 'n': 12, 'trace_an': -2}
  • id: 61300273
    {'hecke_orbit_code': 72057594071484050, 'n': 13, 'trace_an': -3}
  • id: 61300274
    {'hecke_orbit_code': 72057594071484050, 'n': 14, 'trace_an': 3}
  • id: 61300275
    {'hecke_orbit_code': 72057594071484050, 'n': 15, 'trace_an': -27}
  • id: 61300276
    {'hecke_orbit_code': 72057594071484050, 'n': 16, 'trace_an': 6}
  • id: 61300277
    {'hecke_orbit_code': 72057594071484050, 'n': 17, 'trace_an': 6}
  • id: 61300278
    {'hecke_orbit_code': 72057594071484050, 'n': 18, 'trace_an': -12}
  • id: 61300279
    {'hecke_orbit_code': 72057594071484050, 'n': 19, 'trace_an': -18}
  • id: 61300280
    {'hecke_orbit_code': 72057594071484050, 'n': 20, 'trace_an': 0}
  • id: 61300281
    {'hecke_orbit_code': 72057594071484050, 'n': 21, 'trace_an': 10}
  • id: 61300282
    {'hecke_orbit_code': 72057594071484050, 'n': 22, 'trace_an': -1}
  • id: 61300283
    {'hecke_orbit_code': 72057594071484050, 'n': 23, 'trace_an': -14}
  • id: 61300284
    {'hecke_orbit_code': 72057594071484050, 'n': 24, 'trace_an': 2}
  • id: 61300285
    {'hecke_orbit_code': 72057594071484050, 'n': 25, 'trace_an': 4}
  • id: 61300286
    {'hecke_orbit_code': 72057594071484050, 'n': 26, 'trace_an': 3}
  • id: 61300287
    {'hecke_orbit_code': 72057594071484050, 'n': 27, 'trace_an': -23}
  • id: 61300288
    {'hecke_orbit_code': 72057594071484050, 'n': 28, 'trace_an': -3}
  • id: 61300289
    {'hecke_orbit_code': 72057594071484050, 'n': 29, 'trace_an': 0}
  • id: 61300290
    {'hecke_orbit_code': 72057594071484050, 'n': 30, 'trace_an': 27}
  • id: 61300291
    {'hecke_orbit_code': 72057594071484050, 'n': 31, 'trace_an': -17}
  • id: 61300292
    {'hecke_orbit_code': 72057594071484050, 'n': 32, 'trace_an': -6}
  • id: 61300293
    {'hecke_orbit_code': 72057594071484050, 'n': 33, 'trace_an': 20}
  • id: 61300294
    {'hecke_orbit_code': 72057594071484050, 'n': 34, 'trace_an': -6}
  • id: 61300295
    {'hecke_orbit_code': 72057594071484050, 'n': 35, 'trace_an': -9}
  • id: 61300296
    {'hecke_orbit_code': 72057594071484050, 'n': 36, 'trace_an': 12}
  • id: 61300297
    {'hecke_orbit_code': 72057594071484050, 'n': 37, 'trace_an': -12}
  • id: 61300298
    {'hecke_orbit_code': 72057594071484050, 'n': 38, 'trace_an': 18}
  • id: 61300299
    {'hecke_orbit_code': 72057594071484050, 'n': 39, 'trace_an': -10}
  • id: 61300300
    {'hecke_orbit_code': 72057594071484050, 'n': 40, 'trace_an': 0}
  • id: 61300301
    {'hecke_orbit_code': 72057594071484050, 'n': 41, 'trace_an': 15}
  • id: 61300302
    {'hecke_orbit_code': 72057594071484050, 'n': 42, 'trace_an': -10}
  • id: 61300303
    {'hecke_orbit_code': 72057594071484050, 'n': 43, 'trace_an': -1}
  • id: 61300304
    {'hecke_orbit_code': 72057594071484050, 'n': 44, 'trace_an': 1}
  • id: 61300305
    {'hecke_orbit_code': 72057594071484050, 'n': 45, 'trace_an': 18}
  • id: 61300306
    {'hecke_orbit_code': 72057594071484050, 'n': 46, 'trace_an': 14}
  • id: 61300307
    {'hecke_orbit_code': 72057594071484050, 'n': 47, 'trace_an': -8}
  • id: 61300308
    {'hecke_orbit_code': 72057594071484050, 'n': 48, 'trace_an': -2}
  • id: 61300309
    {'hecke_orbit_code': 72057594071484050, 'n': 49, 'trace_an': 1}
  • id: 61300310
    {'hecke_orbit_code': 72057594071484050, 'n': 50, 'trace_an': -4}
  • id: 61300311
    {'hecke_orbit_code': 72057594071484050, 'n': 51, 'trace_an': -11}
  • id: 61300312
    {'hecke_orbit_code': 72057594071484050, 'n': 52, 'trace_an': -3}
  • id: 61300313
    {'hecke_orbit_code': 72057594071484050, 'n': 53, 'trace_an': 3}
  • id: 61300314
    {'hecke_orbit_code': 72057594071484050, 'n': 54, 'trace_an': 23}
  • id: 61300315
    {'hecke_orbit_code': 72057594071484050, 'n': 55, 'trace_an': -18}
  • id: 61300316
    {'hecke_orbit_code': 72057594071484050, 'n': 56, 'trace_an': 3}
  • id: 61300317
    {'hecke_orbit_code': 72057594071484050, 'n': 57, 'trace_an': -19}
  • id: 61300318
    {'hecke_orbit_code': 72057594071484050, 'n': 58, 'trace_an': 0}
  • id: 61300319
    {'hecke_orbit_code': 72057594071484050, 'n': 59, 'trace_an': 19}
  • id: 61300320
    {'hecke_orbit_code': 72057594071484050, 'n': 60, 'trace_an': -27}
  • id: 61300321
    {'hecke_orbit_code': 72057594071484050, 'n': 61, 'trace_an': -15}
  • id: 61300322
    {'hecke_orbit_code': 72057594071484050, 'n': 62, 'trace_an': 17}
  • id: 61300323
    {'hecke_orbit_code': 72057594071484050, 'n': 63, 'trace_an': -33}
  • id: 61300324
    {'hecke_orbit_code': 72057594071484050, 'n': 64, 'trace_an': 6}
  • id: 61300325
    {'hecke_orbit_code': 72057594071484050, 'n': 65, 'trace_an': 11}
  • id: 61300326
    {'hecke_orbit_code': 72057594071484050, 'n': 66, 'trace_an': -20}
  • id: 61300327
    {'hecke_orbit_code': 72057594071484050, 'n': 67, 'trace_an': 21}
  • id: 61300328
    {'hecke_orbit_code': 72057594071484050, 'n': 68, 'trace_an': 6}
  • id: 61300329
    {'hecke_orbit_code': 72057594071484050, 'n': 69, 'trace_an': 11}
  • id: 61300330
    {'hecke_orbit_code': 72057594071484050, 'n': 70, 'trace_an': 9}
  • id: 61300331
    {'hecke_orbit_code': 72057594071484050, 'n': 71, 'trace_an': -9}
  • id: 61300332
    {'hecke_orbit_code': 72057594071484050, 'n': 72, 'trace_an': -12}
  • id: 61300333
    {'hecke_orbit_code': 72057594071484050, 'n': 73, 'trace_an': -31}
  • id: 61300334
    {'hecke_orbit_code': 72057594071484050, 'n': 74, 'trace_an': 12}
  • id: 61300335
    {'hecke_orbit_code': 72057594071484050, 'n': 75, 'trace_an': 1}
  • id: 61300336
    {'hecke_orbit_code': 72057594071484050, 'n': 76, 'trace_an': -18}
  • id: 61300337
    {'hecke_orbit_code': 72057594071484050, 'n': 77, 'trace_an': -33}
  • id: 61300338
    {'hecke_orbit_code': 72057594071484050, 'n': 78, 'trace_an': 10}
  • id: 61300339
    {'hecke_orbit_code': 72057594071484050, 'n': 79, 'trace_an': 2}
  • id: 61300340
    {'hecke_orbit_code': 72057594071484050, 'n': 80, 'trace_an': 0}
  • id: 61300341
    {'hecke_orbit_code': 72057594071484050, 'n': 81, 'trace_an': 2}
  • id: 61300342
    {'hecke_orbit_code': 72057594071484050, 'n': 82, 'trace_an': -15}
  • id: 61300343
    {'hecke_orbit_code': 72057594071484050, 'n': 83, 'trace_an': -2}
  • id: 61300344
    {'hecke_orbit_code': 72057594071484050, 'n': 84, 'trace_an': 10}
  • id: 61300345
    {'hecke_orbit_code': 72057594071484050, 'n': 85, 'trace_an': -19}
  • id: 61300346
    {'hecke_orbit_code': 72057594071484050, 'n': 86, 'trace_an': 1}
  • id: 61300347
    {'hecke_orbit_code': 72057594071484050, 'n': 87, 'trace_an': 0}
  • id: 61300348
    {'hecke_orbit_code': 72057594071484050, 'n': 88, 'trace_an': -1}
  • id: 61300349
    {'hecke_orbit_code': 72057594071484050, 'n': 89, 'trace_an': -2}
  • id: 61300350
    {'hecke_orbit_code': 72057594071484050, 'n': 90, 'trace_an': -18}
  • id: 61300351
    {'hecke_orbit_code': 72057594071484050, 'n': 91, 'trace_an': -22}
  • id: 61300352
    {'hecke_orbit_code': 72057594071484050, 'n': 92, 'trace_an': -14}
  • id: 61300353
    {'hecke_orbit_code': 72057594071484050, 'n': 93, 'trace_an': 1}
  • id: 61300354
    {'hecke_orbit_code': 72057594071484050, 'n': 94, 'trace_an': 8}
  • id: 61300355
    {'hecke_orbit_code': 72057594071484050, 'n': 95, 'trace_an': 18}
  • id: 61300356
    {'hecke_orbit_code': 72057594071484050, 'n': 96, 'trace_an': 2}
  • id: 61300357
    {'hecke_orbit_code': 72057594071484050, 'n': 97, 'trace_an': -43}
  • id: 61300358
    {'hecke_orbit_code': 72057594071484050, 'n': 98, 'trace_an': -1}
  • id: 61300359
    {'hecke_orbit_code': 72057594071484050, 'n': 99, 'trace_an': 4}
  • id: 61300360
    {'hecke_orbit_code': 72057594071484050, 'n': 100, 'trace_an': 4}