Embedded newform data - 675.4.b.o.649.4

Formats: - HTML - YAML - JSON - 2026-04-21T04:06:48.945067

• 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': 10800, 'analytic_conductor': 39.82628925387491, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [675, 2, [326, 352], [2, 1]], 'cm_discs': [], 'conrey_index': 649, 'dim': 8, 'field_disc': 40290197671936, 'field_disc_factorization': [[2, 12], [41, 4], [59, 2]], 'field_poly': [1369, -3182, 3698, -2138, 650, -38, 2, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [118, 0, 29, 0, 1]], [7, [1296, 0, 297, 0, 1]], [11, [7257472, 0, -6092, 0, 1]]], 'hecke_orbit': 15, 'hecke_orbit_code': 63050463569773219, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 648, 'hecke_ring_index_factorization': [[2, 3], [3, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 15, 4, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '675.4.b.o', 'level': 675, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '675.4.a.w', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{2}q^{2}+(-7+\\beta _{6})q^{4}+(-7\\beta _{1}-\\beta _{4}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '675.4.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1484039412463793760, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.056', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '522.333', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '53346.258', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.761', 'prec': 17}, 'traces': [8, 0, 0, -52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, -692, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1488, 0, 0, -1592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3312, 0, 0, 1556, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 356, 0, 0, -140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8188, 0, 0, -4152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5496, 0, 0, 2392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4040, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13720, 0, 0, -14100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19752, 0, 0, -15400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3100, 0, 0, 11784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2184, 0, 0, -18828, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10876, 0, 0, 7920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21184, 0, 0, 4468, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24836, 0, 0, 16272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11728, 0, 0, -8232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13876, 0, 0, 53036, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48796, 0, 0, -1812, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18776, 0, 0, 63096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -91888, 0, 0, -6568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17484, 0, 0, -31252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20244, 0, 0, -32368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33576, 0, 0, 72408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -27504, 0, 0, -70424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23436, 0, 0, 7080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -71688, 0, 0, -8084, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2592, 0, 0, -552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6504, 0, 0, -16348, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8936, 0, 0, 16392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 91460, 0, 0, -61184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5968, 0, 0, 119744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32376, 0, 0, 41472, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19828, 0, 0, 20044, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49668, 0, 0, -19232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12588, 0, 0, 42648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 97000, 0, 0, -93320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 153612, 0, 0, 17864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64676, 0, 0, -96068, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20540, 0, 0, 23928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40464, 0, 0, -150852, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128104, 0, 0, -163612, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 98856, 0, 0, 66860, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41444, 0, 0, -35944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248408, 0, 0, 1600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54760, 0, 0, 25416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 65556, 0, 0, -43788, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3280, 0, 0, -238688, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 74016, 0, 0, -29708, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26652, 0, 0, -38960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 109872, 0, 0, 159520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -161608, 0, 0, 273008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -305160, 0, 0, -93652, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 145408, 0, 0, 84136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -208376, 0, 0, 152944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4560, 0, 0, 56936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, 9384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30856, 0, 0, 142984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -415440, 0, 0, 63160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -303276, 0, 0, -271728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -46224, 0, 0, 151680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16624, 0, 0, 8976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 142068, 0, 0, 237952, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -189944, 0, 0, -27808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -225112, 0, 0, 9268, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 65008, 0, 0, -188032, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -270164, 0, 0, 218016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -392468, 0, 0, 71232, 0, 0, 0, 0, 0, 0], 'weight': 4, '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], [0.0, -0.7822494522090385], [0.0, 0.0], [0.38808579451865916, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.923566252084297], [0.0, -1.0858293523813691], [0.0, 0.0], [0.0, 0.0], [1.8320737021529128, 0.0], [0.0, 0.0], [0.0, -1.5517269586270477], [0.7224591947716962, 0.0], [0.0, 0.0], [-0.46130362157416194, 0.0], [0.0, 0.5747935212010289], [0.0, 0.0], [-0.46458579657056875, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.4331386499157013], [0.0, 1.8537816371072569], [0.0, 0.0], [0.0, 0.0], [-1.2138375633640055, 0.0], [0.0, 0.0], [0.0, 0.35842294273075465], [0.13870872584055496, 0.0], [0.0, 0.0], [0.7437506649602685, 0.0], [0.0, -0.7249748471029354], [0.0, 0.0], [0.4496319170928092, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.08628167790660277], [0.0, 0.36342198487142724], [0.0, 0.0], [0.0, 0.0], [1.0299567567718124, 0.0], [0.0, 0.0], [0.0, -0.8613841117159864], [0.7110017783167544, 0.0], [0.0, 0.0], [1.4501196701423265, 0.0], [0.0, -0.9547829859176287], [0.0, 0.0], [0.14702537801096474, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.6022031896148002], [0.0, 0.7490539993082104], [0.0, 0.0], [0.0, 0.0], [1.0028353453819805, 0.0], [0.0, 0.0], [0.0, -0.10850482480538783], [-0.039057301183376726, 0.0], [0.0, 0.0], [1.6053966670519593, 0.0], [0.0, -0.5817985502452783], [0.0, 0.0], [-1.0284147985857646, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.9703836820179206], [0.0, 0.22306920035947903], [0.0, 0.0], [0.0, 0.0], [0.6851340861125986, 0.0], [0.0, 0.0], [0.0, -0.3536586724036559], [0.06749379527811672, 0.0], [0.0, 0.0], [-0.18029914798417332, 0.0], [0.0, 1.6920414426395682], [0.0, 0.0], [-1.6145722416660075, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.8056831087837482], [0.0, 0.33540094756480837], [0.0, 0.0], [0.0, 0.0], [-0.6738172495313997, 0.0], [0.0, 0.0], [0.0, -1.9893194015236346], [1.935550139720081, 0.0], [0.0, 0.0], [1.4331226514373474, 0.0], [0.0, 0.7194263195008704], [0.0, 0.0], [-0.7468784677125752, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.4789642450832818], [0.0, -0.11501052140990399], [0.0, 0.0], [0.0, 0.0], [-1.2442395819662881, 0.0], [0.0, 0.0], [0.0, -0.41462153356513765], [-1.6849106785587187, 0.0], [0.0, 0.0], [0.5859470806338372, 0.0], [0.0, -1.506977257219041], [0.0, 0.0], [1.0474411347569617, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.4260444568501616], [0.0, -0.42150212954606625], [0.0, 0.0], [0.0, 0.0], [0.053830886074502635, 0.0], [0.0, 0.0], [0.0, 0.03055255245545988], [-0.5308598980979702, 0.0], [0.0, 0.0], [2.35649405012028, 0.0], [0.0, -1.2558206633796114], [0.0, 0.0], [0.2886390677348869, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.4273468634503261], [0.0, 0.07950206573444772], [0.0, 0.0], [0.0, 0.0], [1.237180151042163, 0.0], [0.0, 0.0], [0.0, -0.4290757629102778], [-0.7590821036911083, 0.0], [0.0, 0.0], [0.62412767687872, 0.0], [0.0, 1.0589326371274808], [0.0, 0.0], [-1.4559711829999853, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.5359457635513205], [0.0, -2.842878153822335], [0.0, 0.0], [0.0, 0.0], [-0.27664930275673566, 0.0], [0.0, 0.0], [0.0, 0.03348469352278697], [-0.5996757579834667, 0.0], [0.0, 0.0], [-1.497730179837648, 0.0], [0.0, 0.5044608946158032], [0.0, 0.0], [1.3235984916197936, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.6492175608657919], [0.0, 1.2629982515951539], [0.0, 0.0], [0.0, 0.0], [-1.7120901587658417, 0.0], [0.0, 0.0], [0.0, 0.6381673602782235], [0.39971158627165015, 0.0], [0.0, 0.0], [0.2623672075029638, 0.0], [0.0, 1.8512812648714234], [0.0, 0.0], [-1.4078565541299473, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.33429093738104804], [0.0, -0.3547484991316834], [0.0, 0.0], [0.0, 0.0], [-0.8451422337939212, 0.0], [0.0, 0.0], [0.0, -1.5140830365191613], [0.7132273933878479, 0.0], [0.0, 0.0], [0.7278950271054426, 0.0], [0.0, -1.12105940903523], [0.0, 0.0], [2.012890514476647, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.0530640943602778], [0.0, -0.37053771368274063], [0.0, 0.0], [0.0, 0.0], [1.001985349681975, 0.0], [0.0, 0.0], [0.0, 0.19834040395634953], [0.3746695183441129, 0.0], [0.0, 0.0], 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[3.546070510179556, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.5598895077939281], [0.0, -0.9586063687553912], [0.0, 0.0], [0.0, 0.0], [0.06236787031718961, 0.0], [0.0, 0.0], [0.0, 0.2797750485445293], [1.5968180487950416, 0.0], [0.0, 0.0], [-1.6646018002771685, 0.0], [0.0, -0.5392005246122772], [0.0, 0.0], [0.4949814201635499, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.2338494763125171], [0.0, 0.2832900527741696], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.43604305205239247, None, None, 0.07639508152969772, -0.06568498499615887, -0.3586572658273257, 0.04639491080568616, -0.2873113942614442, 0.18876451021040813, -0.23895304218819177, -0.1893574431380198, 0.006868209333729935, -0.16389997283728605, -0.4291347562143704, -0.420791182102118, 0.061097448749637795, -0.25310827886138304, -0.10169846580072056, -0.4193748831311329, -0.19435180668238533, -0.4717079672770357, -0.3995322756756095, 0.026817073805214454, -0.04051392621773735, 0.038488824559811986, -0.3568641628436044, -0.46676443697541786, -0.3641847662767738, -0.16227179903073832, -0.46620452727662126, -0.3735150352595562, -0.14385209093330206, 0.08880389781301194, -0.3797716218015647, -0.29846629451040974, -0.3847004552439129, -0.44738368121934396, 0.05168755222380543, 0.188236544390726, -0.47161984868929235, -0.1919656206166365, -0.1907143743368441, -0.1664841761142198, 0.01580941397808213, 0.038712634101663694, -0.30120771385931905, -0.3418534811270271, -0.3912887627300773, 0.007113740541165086, -0.24716243299696547, 0.1320229791823619, -0.3488625293867796, -0.3769501378667366, -0.19726505433920283, -0.3984149917220905, 0.08765922167632596, -0.13203019492709958, -0.1594731024886475, 0.06256505448111248, -0.24261289246976378, 0.11459024972623613, 0.016933399224411835, 0.19052502365390747, -0.30322985142592307, -0.47236638892426847, 0.06483317040814338, -0.36027372937794716, -0.49490610019772335, -0.3761593862080854, -0.36922383604520653, -0.43549978625326374, -0.4745864191434887, 0.08666105600316158, 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-0.42044471729338884, -0.40648840745763815, 0.01865181522525198], 'char_orbit_index': 2, 'conrey_index': 649, 'dual_conrey_index': 649, 'dual_embedding_index': 5, 'dual_embedding_m': 5, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': -2.9570488438311586, 'embedding_root_real': 2.9570488438311586, 'hecke_orbit': 15, 'hecke_orbit_code': 63050463569773219, 'label': '675.4.b.o.649.4', 'level': 675, 'weight': 4}
• 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

  
  {'Nk2': 10800, 'analytic_conductor': 39.82628925387491, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [675, 2, [326, 352], [2, 1]], 'conrey_index': 649, 'cusp_dim': 252, 'dim': 72, 'eis_dim': 36, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 68786586275, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 6, 6, 6, 6, 8, 8, 8], 'label': '675.4.b', 'level': 675, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 288, 'mf_new_dim': 72, 'num_forms': 17, 'prim_orbit_index': 2, 'relative_dim': 72, 'sturm_bound': 360, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1116, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, -2460, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 528, 0, 0, -1620, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 936, 0, 0, -1920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7668, 0, 0, -4296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6660, 0, 0, -4980, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, -4416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1044, 0, 0, -7008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43176, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7776, 0, 0, -14820, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -25560, 0, 0, 2256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13632, 0, 0, 41364, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22992, 0, 0, -10932, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40848, 0, 0, 33504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34032, 0, 0, 16248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33720, 0, 0, -43728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -69924, 0, 0, 24684, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54492, 0, 0, 8076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14724, 0, 0, -48240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16044, 0, 0, 55068, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68364, 0, 0, 20760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -63864, 0, 0, 31656, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -155496, 0, 0, -39612, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 147120, 0, 0, 97392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 89796, 0, 0, 18912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -53328, 0, 0, -68712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2904, 0, 0, -87564, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44532, 0, 0, 29796, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -62340, 0, 0, 70344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29904, 0, 0, 200784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -211512, 0, 0, -12828, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44856, 0, 0, -81756, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48696, 0, 0, -94980, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 158352, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96420, 0, 0, -59184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 136440, 0, 0, -163500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92688, 0, 0, 7044, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160428, 0, 0, -61536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -106356, 0, 0, -109764, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -85188, 0, 0, -216564, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 77076, 0, 0, 238188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48660, 0, 0, 46296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 166572, 0, 0, 87936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41268, 0, 0, -154044, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -135840, 0, 0, -168168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42720, 0, 0, -221004, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 378168, 0, 0, 157080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -274128, 0, 0, 365304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68424, 0, 0, 99384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 62316, 0, 0, -363144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42744, 0, 0, -342132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104664, 0, 0, 226728, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 70068, 0, 0, -133848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -295380, 0, 0, -320124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 169296, 0, 0, -36204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 580512, 0, 0, 471132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -424080, 0, 0, 137880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -57408, 0, 0, 222996, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -452760, 0, 0, 403236, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320640, 0, 0, 402504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -245640, 0, 0, 381816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 143736, 0, 0, -642420, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10824, 0, 0, -213000, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 213588, 0, 0, 354720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 557424, 0, 0, 181800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -150768, 0, 0, 508992, 0, 0, 0, 0, 0, 0], 'weight': 4, '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: 47847793
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 63050463569773219, 'source_is_minimal': False, 'source_label': '675.4.b.o.649.4', 'source_level': 675, 'target_conrey_index': 649, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 63050463569773219, 'target_is_minimal': False, 'target_label': '675.4.b.o.649.4', 'target_level': 675, 'twist_class_label': '675.4.a.w.1.2', 'twist_class_level': 675, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47847794
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 63050463569773219, 'source_is_minimal': False, 'source_label': '675.4.b.o.649.4', 'source_level': 675, 'target_conrey_index': 649, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 63050463569773219, 'target_is_minimal': False, 'target_label': '675.4.b.o.649.6', 'target_level': 675, 'twist_class_label': '675.4.a.w.1.2', 'twist_class_level': 675, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47847795
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 63050463569773219, 'source_is_minimal': False, 'source_label': '675.4.b.o.649.4', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 99079191869260451, 'target_is_minimal': True, 'target_label': '675.4.a.w.1.3', 'target_level': 675, 'twist_class_label': '675.4.a.w.1.2', 'twist_class_level': 675, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47847796
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 63050463569773219, 'source_is_minimal': False, 'source_label': '675.4.b.o.649.4', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 103582791496630947, 'target_is_minimal': True, 'target_label': '675.4.a.x.1.2', 'target_level': 675, 'twist_class_label': '675.4.a.w.1.2', 'twist_class_level': 675, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47847797
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 63050463569773219, 'source_is_minimal': False, 'source_label': '675.4.b.o.649.4', 'source_level': 675, 'target_conrey_index': 649, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 63050463569773219, 'target_is_minimal': False, 'target_label': '675.4.b.o.649.5', 'target_level': 675, 'twist_class_label': '675.4.a.w.1.2', 'twist_class_level': 675, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 47847798
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 63050463569773219, 'source_is_minimal': False, 'source_label': '675.4.b.o.649.4', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 99079191869260451, 'target_is_minimal': True, 'target_label': '675.4.a.w.1.2', 'target_level': 675, 'twist_class_label': '675.4.a.w.1.2', 'twist_class_level': 675, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47847799
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 649, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 63050463569773219, 'source_is_minimal': False, 'source_label': '675.4.b.o.649.4', 'source_level': 675, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 103582791496630947, 'target_is_minimal': True, 'target_label': '675.4.a.x.1.3', 'target_level': 675, 'twist_class_label': '675.4.a.w.1.2', 'twist_class_level': 675, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 47847800
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 649, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 63050463569773219, 'source_is_minimal': False, 'source_label': '675.4.b.o.649.4', 'source_level': 675, 'target_conrey_index': 649, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 63050463569773219, 'target_is_minimal': False, 'target_label': '675.4.b.o.649.3', 'target_level': 675, 'twist_class_label': '675.4.a.w.1.2', 'twist_class_level': 675, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1196725
    {'charpoly_factorization': [[[118, 0, 29, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 2}
  • id: 1196726
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 63050463569773219, 'p': 3}
  • id: 1196727
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 63050463569773219, 'p': 5}
  • id: 1196728
    {'charpoly_factorization': [[[1296, 0, 297, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 7}
  • id: 1196729
    {'charpoly_factorization': [[[7257472, 0, -6092, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 11}
  • id: 1196730
    {'charpoly_factorization': [[[20160100, 0, 9101, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 13}
  • id: 1196731
    {'charpoly_factorization': [[[15980032, 0, 11468, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 17}
  • id: 1196732
    {'charpoly_factorization': [[[5176, 173, 1], 4]], 'hecke_orbit_code': 63050463569773219, 'p': 19}
  • id: 1196733
    {'charpoly_factorization': [[[244684800, 0, 47664, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 23}
  • id: 1196734
    {'charpoly_factorization': [[[26288512, 0, -56492, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 29}
  • id: 1196735
    {'charpoly_factorization': [[[31275, -372, 1], 4]], 'hecke_orbit_code': 63050463569773219, 'p': 31}
  • id: 1196736
    {'charpoly_factorization': [[[1243225, 0, 3674, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 37}
  • id: 1196737
    {'charpoly_factorization': [[[12373196800, 0, -242348, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 41}
  • id: 1196738
    {'charpoly_factorization': [[[624450121, 0, 69578, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 43}
  • id: 1196739
    {'charpoly_factorization': [[[6419834368, 0, 162476, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 47}
  • id: 1196740
    {'charpoly_factorization': [[[475783552, 0, 89228, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 53}
  • id: 1196741
    {'charpoly_factorization': [[[483328, 0, -1856, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 59}
  • id: 1196742
    {'charpoly_factorization': [[[-516926, -89, 1], 4]], 'hecke_orbit_code': 63050463569773219, 'p': 61}
  • id: 1196743
    {'charpoly_factorization': [[[102356484624, 0, 644625, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 67}
  • id: 1196744
    {'charpoly_factorization': [[[8294391808, 0, -217376, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 71}
  • id: 1196745
    {'charpoly_factorization': [[[4304016025, 0, 137114, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 73}
  • id: 1196746
    {'charpoly_factorization': [[[-108495, 1038, 1], 4]], 'hecke_orbit_code': 63050463569773219, 'p': 79}
  • id: 1196747
    {'charpoly_factorization': [[[611712, 0, 64332, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 83}
  • id: 1196748
    {'charpoly_factorization': [[[4761627379200, 0, -4443984, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, 'p': 89}
  • id: 1196749
    {'charpoly_factorization': [[[460207564996, 0, 2407397, 0, 1], 2]], 'hecke_orbit_code': 63050463569773219, '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': 2, 'hecke_orbit': 15, 'label': '675.4.b.o', 'level': 675, 'portrait': 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la7Ad2hYJR4rA0Em6YMKx3D8bOKmuezaRa2LURsnBuxYS5k01zIto2WHZsUV273qKsmR463efxln2f3J7x4LCZVPb7xjR3e+3pLXc2x/9g0R05rTp1LWczAfXDZcvPVS/ybD66xfX6K0+emObtWY6XjsdaRrPdS1nsJ63145fAKx093rnz5wMqbXjm2dtGrx9a++KZ3vj968Asf+1pD4i/1+BvN4AePryKllntf+hNRq131a//+t++79sbdR27/kW84owfhFJ1+g+X1OivrASsdzUoHVjspq52YlfWUxXU4tCJYmF/n3373CrfsbnDi7CynzzU5vaw5u2JZXE44uZRyrpcwPTviDdf2ue0K8GWdQAWcXa1xZlmzuCoYhJAkhppvaNZSZqYSDHBsMaHbh50bPZr1EGsFCJ/+0LBjU8jKugbrpMh6H8IELJbVTsTWDR69oUIoizAh7ZrHjs0j1geCY6c1qdHMtSWtmiDwIEkEg1CyuCo5s2I5u5YQBCPwEm6/qs/rrxYstOusrLU5cTbg9DKcXU44u5pwahUOrVhed9UyP/fda2yabnN8cZbFlTpLaz7LHcnqespaN2atm7LSMyx3BWf7kk5/yC/+WJzcdcPGR2sLHzRTc5c8urwS/NQVuzsIseFrDZXXfPyNDTI//NFPcumOWV7ad/bfDYbD99375Y/vOHIsre8/nfDOm0dcdxFYK0kSRZpKUgPGaKxVOGMFhEgRwnJ4ZYZ/+weCn//+s9x4cUSrPkuz3qLdCGg1PKbbirMrisU1zZceq/H5RxIu2z7giksSVteGXLk95NvfaYgThcDy54/XONepUU9Djp5R9Pstrrs05Vw3Yc8+j93bJQdOw+2XQ6cHkdEEOmK+CftP1WnUYwKVMNUSrPfg1it7HDoZsHun4cjpkFcOuX/P2z7i0FnLVCtktRvxuS81sEKRpil33jDgjhsti+seN+4asWuLRxK3GQzr7DlcY3FZsLSWcm4t4eyq4fiq4Gw/4obdK/z0d/ZZaM9w7Mw0Z1fqLK17rHQka52UTi+m009ZH1jWB4LlkWK1n3DTZavctrunk5F48/33/zEbdlx5xze94+1GiG3/xwtPfZrrb3nP1xoyF3z8jWTwz9/9Gd71dbvUb/3BCz/9zCtn/o8X9h9Sg0FCb+RxsgeXbz/LL//wOW7Y1eDsygwrnQarnRqrHY/VrmatB2udlLVuwmovYbkDJ9YEuj7ijqtX+bY3R1y8ocl6v8251TpLqz7LHcFqx0mEtZ6hOzR0Q8tglDDXjtmx0QCCwLOcPOchZMDODYqLt1i2bBhwdi3khQMtbrrM0qiv8fLBWVrNiCjymJsxDEdw5Y4Rf/iVaS7fnhCGlvkpSZwOadUCXjk6ou41uWF3wouHI86u+GydC7h4M+zYFKFUzMll8D2LEJadGxNmWpLeMKA/8OgOPFa7itV1WOkYVjspy52UxQ6sjFJ2bO3zbXcuc8cVmprX5sxym+W1GsvrmtWuYK1jWO/FrPVS1vuWlT4s9hRn1xNuueIsv/iDK+za3GZ5vc163yKUota4Nh2mF/38o69c8nNX7Tidvvub/97XGjrnPf5GAXxt6RmUV6vb8PCOR5848/5nX1r6d088f5SVrmAYCYaxYHkkOd1NuOmSs/zHH17hukvqnFubYWW9wVq3xmrXY62rWetCp2dY7yWs9RJWu5azHcHpvgXR571v7PCuWwyXbK4RRQ3WOjXW+z6dnmKtL+gNBKPQEiWWNAUlLYEH9cAy3bZsmI3R3ohDZyJeOhhgkibvvDVCe+s8s2eKizbDXzyZ8MZrAs51htS0IkljZmcgiT20l7Cy0uANN3b5i8daXLwZnj4Q4tHgHbcYEjHkpUMpR07W0NJn44xmpimoBwLfFygBiYEotowi6A0s631Db2BYHxhW+pZhmrJz24B33dbhva+PwLRYWZ/i3GqdlZwMOrDeS+n0E6e9+5bVAZzpKpa6Ka/bfZYP/fA5rtxZZ2ltml6/zijSDIYep85phmYbIzv/r9tbLvnT11170fFebzh80+uu/VpDqXj8jQH4y6/sY35ui3/g0Avfu7b86q+vLu4R+44IeWYpYbWb0B0Y+iNBZyQ4N5Sc6cXccuk5fukHVrjx0hrL69OsrDdZ6was93zWepr1nqDTs27J7SV0+oa1vuVcT3CmY5iZHvB1r+tx+xUJOzcq2nWPbq9G4ElAESUSYwTGwmAECMNMa8SBUxZjI+59ukk4qHPpVp87rh0Qm3UefHaaGy7zOLDYp7PW5rZrB3zpmYCNs5Y9xyw/9p4ue44GbJyV3Pes4o4rFauDLodPzHLD7ogHXxqShA1uv8pn1/YRw6TPPc8oSAWHTmraDY0WMBi6oDo1ljgBpEH7hk7f0mzFbN8c8vorB3zdTQlzzRpnV6dYWa+z1nXnZq0r6PSh00vo9BM6/ZTOwLI6kCz2BMu9hFsvX+Lnf2CJ6y6usbQ2xXq/QW/g0xv6dPsey+uaE4uGxY41X/fWa+wt11/9o7t2Xvc751ZOR1u3X/q1hhTwNwTgUZTKKBq++9GHPn/pkVPhh+758mPerm0BntasdWO6/YTewNAfWXojQWfoQH66k3D7lef4hR9Y4qZdPuvdKZbWWnT6NdZ7Put9Taen6Ayg17d0Bwndfkp/aOgMLEt9wVIf4jTkusuGbJpN6Q8sX39byEWbDEkq0dISxfDACzWOn6uxeSbh5UM1MA2u2Ka48XJDUBvwzIEBS8tNrr6oSXt6jcde9Lj5shorg3XW1tps2mR5co/iO9/a56k9mm0bPJb7HdZWZ7nxygGPvZwyW5/m6kv7nOt0ePLVaeq6yesut+zeMQLZ54Ujgg2zMWeXYh58wWMUK6SE1Fgu2hzxdbdF9PqKLTOGGy+DKGqw2mmw2glY73t0B4pOX9LtQ3eQ0u2n9AYp3YFhfWBZHUpOdQWdYcgdu5f4uX+4xusuczdHp1enOwjoDTx6Q2eJrvcVKx2LkhGXbInZfsnr47Or6l9+8zd9w8Fms/45rX3ztcbW1zzItLaLMZ3vXj71zC+vLe2fPXtynct3NkBIjLH4nqIeWBc4CoMQToNKaZFS89T+jfzUhzXvuWOVD7x1lYu3RiyutAn8OvXApxF4NOuaXl3SGnpMNTWDUUp/mLIxNAxDS28UsLpU4+QJS5QYTi0mBIEFBL6yaCkYDBUCj2Sguf4iwa4tlh1bB4Rpjy88pdh7cIa33xRw45VrfPQLFl80uGjrgBcfU2ydVsy3B9RUnSj2ONeDZk2zbaPg+b0RN+6u8+Yblvndu4f4Xou33WrxggFffjLiL55o8uqROpdsaXDR5pSFmYiL52OuuShFKYNWFrA0goCF6YAo9ugNfF4+4NEfaQZDRX8k6Q+hP7L0B+6794Yp/aGlO7SsD2FpoDi7ZmlMdfjxdy7x9+4Iue6SJmeW23T6NXoFuBW97N8MI5ACjA04eNLj5cPPeFZO/bLf3Lh6yy23//Njp8Pf3bkl+F8X4EfPDDi+KP7hiWP3/UJ9cM+sZ2HzXJ3eUDEKIUoEILHW2fVCgBSuk0ZJi5IpvpS8eGCB5/Y3OXD6HO95fZ/XXzViutVmtdOg2a3RHvr0B7q4MMORZhBqRqFlFBmi2BLHliR1R5T4WANSCTwtqPmC6ZZgpgWb5g3bNg6Yn+nwxWfgoec8pJni7Td5XH9Fj0dejYlGbe64XtAZDjm30uT23Yb56QF1HTBKFEvdGGUE1+/WNFohz+6r8aYbp7jtuh7P7lNgp7jpKp/v/8ZVvvR8xH1PNdlzvMaOBcWm2TozrQZTLagH4GmLkmAs7DkiSFNBnAiiBMIY9x3DlGFoGIWGwcgwCA39IXRDWOpLzvUgNCPuumGVd7++w3e8zZAkbRaXm3T7NXpDn/7Qo5+BezASDEYuRgkjQxwbwtjQHaQsLp/myQNfmP1X0/1//663vkVbu/5hIab/1wN4Z32dwOf7P/rJh3/huVe+uOEfvXOR+ZmNpDZFSfCUZBhJpBAIoRBCICUZuEEpi1YWTxnqnmB5UOdjX9nGl5/r8sZr1vngXetcc3GfuekGK+sNesOAwdDLgK3cEQnCWBIngiRxS31uMSpp0RpqPjTqhtlWzNYNAxL6HDgV8ycP1jh8osl0UOfmqzS3X9vlyf0d7n28za2X1dixecAffkWgREC7FbPeDzEWlICF9oBuz8ckdd79xnN87C8a7Dpb4123DojiFR58aY44rXHLVRt4181dLtve4cvPDnjxRIMXjvhsm5XMtgWNQOB77iaUAoSwGAvGWOIku1ljSxi7G3kUwTCC3kiwFgpWeyD0iBsuX+eDX7fOG69KmWvXWes26PTq9AYB/ZFHf1iuBINQMhzBILtxwtC4fzt0zlM/1pxYXuPYwc9sOLXT+4X2hrfY9fXub09Pt//XAPj9X/qvXLLlYs4cue97zq1EHzp3bO/8ZQt9pAjwdEqzlmAtDswSpHQgl0KipEbKFKVEtjwbPGUJtKWuBWsjxUpnho8/0OSJl/vccd06H3zbOjfs6jCX1kmSgMGoRn/oMQw1UayIE0mSSlIjMFa4LKiwBL6hUUsI/AjfCzm1EnL305KDJ32OnJxBmYBdm32uvFhx0xVdVLDES4dabJ1ucPUlsGlhjdVum2u2ShJj+eJTAeFAMt1MeMctIz73YMzxxRaXX+pxZn3EK4c9tm+c4bqLl3jkxR6PvSIII58rLp7liu0BV2zrcejMKgdPwVN7Gxw43KShBYGWNANLzXPnSwDWups1SSFKIEoF/VDQHQm6MUQmwdgRr7usywe/rssbr0nZPBswGk2x0qnR6wf0Rz6DoaY/UlmxmmA4kgxD1zc6ClNGUcooNIwi61aFkSVOBJ70eOyZPt3lhza05pY/hKolv/HhP/+okaf5ke/7wb+7AP+2f/5r3HnXMp/6TPodGxtnfiUeLE3fuEsyN+2RpAIpDfUgcUATTt8pBUoKpBIopVBKoJVBqxRPC3xt8D1L4Fkafsp0TdALPda6M3zyoTZfeWHExpkB77+zwxXbR4yGfa6+2LJ9kyKMPdJUkRqJzcEtDZ5OOXbWcmRRsD40fPaRBqeWZ7CRx0xNsWVOs3OT5pKtcPWuLkYu85ufa7K6OsWtV2iu3tXhyy8IROKxYUbSbCQMYh9pJViJ0j6dkeDsquAq2+DOm3o8+mydLfM+t149y/d94zK/8xc9ntrXpD/yWFlvcfGWOpdvHnDL7h5//009Tq+u8tlHAlYGAcfOeJw65eMpgZQSgcBYS2ogNpY0MczMxVx71YAwjLlie8j77gzZMKWYbQXEcY0zSzUGQ59B6Fa5YQFs6cAdCkYhGVunjCJDGKWZzLMMI8soFqQGAil4YX+T4ydXGcWPzV95xcZfefub5+Jv/5Zb/shGP4fwf/rvHsD//a/+Ef/ix79dfNs//Y1vTcJ9v/Udb9zTeOO1LdZ6AQIwVuB7KdYKDKISTCqklCgp0UqgVfasBZ5O8bXA9ww1z1KPLY3IMlVLmakLBpGkFzU5crLJL/3RLJgEkSTcdO2AizdFJAkYa7DWJXGkcDeS9nz2HffZc7BGs6Zp+ZL5hmBhTrJhVrNlQbFzc8rlO9dJxQq/+qk2x45Pc+tujysuShkmPR5/KWC67jE3ZZluRTTqTgoZI+mMFKt9y0onpdOv84ar13l6z4C9xxXT7Rq3XDXND7x7hV/7NDx7sEl/aFnvac6uttk032DDzIidcyP+xbcOaDc6vHgE9p2QeJ5FKYsQBrDufxaSBC7alHLHNQlp7BEnAdY2GEUei8s+w9CtaKNIFfJtGAlGoWAUOdYOI8socpIkjAyj2GTv5QeMYghTQWwgHArWhpKVHrQXXpm+5pLmbyXrneSf/ti/+fj+53fb3Td8x98dgP/+H36cKy9dUP/513/vvTpa++hnH+7Uer06l2xbYfdWn/4oIIo8okQjpXNKlNRZIGlRSmV6W+Jppzl9TxF6kjAyBFFKGFvqWbATRZZ2AmFsCBMXrI5iSZgGxGmNvQebvLAXUmtx0Hba2JPgK1fz0Qrg6s3QrsNUUzLTUsxNazbMwo5NIZsX1ontKr/6qSkOHZ7ixksUl2yT7Nq2xv2vJJxdmeKmiyUzbUPNHxLIAKsESSoR1pKkEWv9GmdXPG68os71u3s88myNjTOCRq3FjbsNP/7eFX7l04ZXTrVY7xvWe4qlNc38dJOZdp2Z9hTtRsxCM2bnjRGBl+DpBKVSpHDBhMXdVHGsOLekiRNFnCiiWBHG2XMkCWNJGElGkSSMhAtQI0EYuUAyjB1jR1Gm6WP3vgO2YBTDIBIMEkE/EQwTCMOEq3eu8cPfvMy8WGu8+vLOj37nd/2B2XPiok/df98n07d83bf87Qf4Fz7/KdrNmjp2YvF93fVzv3v6+NHalpkG9z6n8T6a8O++f5XLt44IozqDMECpzCHJn6XFUxZPKzxt8SKJ7wl3ETxB6CuiWGbRvCVKUueKJJUjhSS1pKkhNTi9bSjALQQoCVqC50GgBbVA0AgkzYZiqiGZmRJsmE3YuWlAq7nOpx6NePClWdaX21y7Q7Fzs8dl20ekYp0vPtWg6WkWZhStxoiXDsGrhzXXbLcMQsV1l8Vcu8uyeCZlac1nOGrwzpt7PPzikAOnFM26JPDbXHOJ4ee+Z4UHXhnyuQfmWeladm5IWetoptuKqaZHq+HRrFtqgSHwDYFO0cpJLZm1VlqLS1gZQWIkSSpIEkGcSKJEEMeSMHbOSxQLotgSRRDGKVFsiCrEEcbVw4F7GMMgFvRiSTeBQWggGXHdjlV+5h+scNd1PifPLXDi1OlaN576fXz9D8Kw9Yk//fgn0vd/6/v+dgP8+l09GUbrH1hfOvdfB+snazMtzerQMtMIuPvxTSSh4Fvu7PCtb+0y247pDWpomaKV74JIneJpjRdrAq0YeY5pQk8S+YIoFu7ixIo4gSiWzkFIStsvSQ1p6tyF1GZOSVGQ5dwZJZ3s8bUg8CW1QNKsC9oNy3TLsHE2ZGGmR2LX+fjDkt/5izk21Gpcu0OwY7PHRVsMOzev8anHLaurNa7YpJhpQ6sRc/ao5NxagH8xhLFgYUoyPQ0HjljWuobF5RqXXVTjrTf1uPuhGnMtCHwfJae5ZpfgB991Dk+e488fmeHVUzU2dmM2TCdMNRWtuqJRl9QDTeBD4IHWzmGSWRxTgBx3Y6cG0lSQpGRAhzi1RAnEcepIITZE+XNsMtsxd2UyCzJx5RP9WNBNJL3YEI1i2kGPb3vHMt/65j53XqdZXmsxGPkMwhrPv3qsFsnkt2qtLVpI/cc4nvnbCfCf/fVP8+Evp9/zzisf+4+z9RPt+fk2Sy/5YC0NDYN6jS8+vZHHXw5YXFvmx/5+n5l2zChI6A0StPbxtIenPfwoJfI0fuSkSRS7VLpjHOGYKGOlJIE4hTR1ToIxNqs2tHkPZwZuB3AXuAo87QBSC6BRM7TqCdOthIXpIfMz6zy6N+L3762z78g0F0157NoE2zb5bNsIl+/oMki6PLmnTV15LMwoplsw3QqZmUrwfY0Q7uYahj6r3Zj1gaXTTzi35rNjU4vbrjjHvU8N2HeqTSOI8ZSPEFPs2qr4rrct87rLz/H797Z48uVpVvqaDe2E6UZCoyap1xSBJwg8iee5WEUpMvvQodzieliNoQB6kppsdcusxcSQpA7cSQxRYssjdq7MKHGkMogF3UTQS2A0SjDJkLl6jx/9lhX+tw8MqAUBa+stwthDCJibGrE6Enzl+f3t113T/dUP/bOd/j/7zo/8ztyO7/vbB/DFpQ5ayX/4M7/6qV/46YfPzNU8w3In5cy6IFAQSEvLE5h2jc5I8h//1GPPoTXe/aY+d97QY+N8SK9bZ6h9fM8n8D3CSBP4zt7LAR7Hkihxy26cZJ52Smb9kTG3xFhKcLskZcbcoJVLmPiepeYb6rWEVi1hph2yeb7L2c6AX/+sxxefnmV1rcmlC4IdGwRbN/hs2yC4eMsI7a/zsQc1h0802b1RMtOSTDVTpAw5tWQJtEQKsFYQxZqdG7o8RUp3oFjrWs6u1tm9rcbfv7PDJ77sc/RsgKdjhPAwtkmcSG66eI2d397li88O+MMvzvLM0SZbZwTzzZRmLaXmCwJP4HsuVtEKFzhLUdRkWNxNZizOaUkd4HOQJ6mTdA7sEKWu1iXKk0eZvu4lkl4Cw8iQDkK2zfd4841rfPObBrzzdQYtGqyt1QkjnyRVaJWyca7PN715wO03RtT14pwnFj40u+UfKJO898NS/8/p+fyfAvDVtXV8X3/fZz7/4C+8/MIrG1490iYyUPMk04FFCPCVpQ1IBN1aQDfSfOz+gAde7HHjFV2+/W0D3nVrh7npgOEoYBj6BJ5HlHhEsS4CpSRRxKkkSSRxKkgSSZoKUiNKrW0EhSqxVCxI5zp4yuB7hsBPqQcJrXrI/HSfYTzkyy9Z/uT+KZ58eZoZ3+OarZbNs5KNcz5bFiTbNkZcsnWNF48O+ezDC0wpzcKUoN0UtBsxnUHKXzxeo+W7720sDEPNu+8I+fwTriam0zecW9Ns29DiPa/v8+TeHnsO+DSDBCWFA7lpMIqc1v+ut3bYvfkcH3ugy2OvTnN8rc6mtmCqZmn4hpo2+B5oJVB5PkG4752XH5lMqhlTrnBJBnRHEBCngjjNgJ0KRkkWRKa4mCeKaNYHvOftq3zgbV1u2p2yccZjMGrS6QdEkU8YeySJ64VNjeDKbR43eBDGilPHD23ohI/9wo5dd5rhoPuReuOvPxn01wrwfq/D2nofT8nv/spXHvkP99zz5Tkdr3P5RkWYSYUcZKlxzoUWFk8K+krT95qc7AacfqLBEy/1+cS1Pd731iHvuGPE7LRPFAaEiUcUe8SJJs6AnqSKJM0SNmkJcNfGBtaUNWXOfgQlXR2H1gbfSwn8mHoQ0aoPSRnypWclf/SVaV4+MoWIAy6asWyetsxPKxZmfTbNS7YsxOzY1OXEUo/f+FyTJKyzbZtguqVpN6HdiBFeRHfYZLplEUJgLcSJZDZQJCahF/v0BilrXcWppTpXXdLih75pnQ/9ccCxpSZaxdmNoUmSGqNIsmku4KZLu1x7SZ9Xjp3iT+6vc+8z05zu1GkGipYPTc/ia4unQEuXzhdivLrOANa4my41gtRCkjovO04FUeqSRMNUMExhmFiSJMHEIXO1Ie+8a53339XjjdfETNU9orjJWicgjH3i2BFRlDgSSo3EAoNhQGoEUSzp9SPiEw9t6A29/7DrsluS5XNnfk/5DWam//rmJ/61Anw0GjI91fzmvXue+7XnnnmwTTpgYUYzGDlbyaXDKdhCpaBT514EqaGmBAPlM0g058Iaf/5EkwdfHnDLfX3+8bf0uHJHlw3TinZDE8U+UeKRJCXI0xzgRmKsxFonCcoOnyzVr6xLFumEwE/wVER3GLPUjfnPn6px5NwMz+6Zxhqfubpgw7xlfkow11bMTXtsnJNsmkvYujBgbnqNLz5neObVaa7dJphpSVoNSbthaNYjhBcSBBqt3O+3FtJUMgw1w1FMYgS9oaHXt6x2PRZX2tx+eZ/brlrnY/fVqK8qtIwdIK0mSX2i2PV4zk/XeN2uPq+7tM9Tbz7NsSXJ7987zbn1BidXAnwlaXoCP5dh0gWeBZHnUgXH5IkVJAZiIwhTGCUQGQtpAkmMVCFbZoZcu9Ndj5uvTGnXNUnSpNNzwE4SnRGQKlZaRz7ZqppK4lQyChX9oWK9O2D/sfvnblmTv3bLzTetDYbDz/51YvKvDeCD9ZepT21U99/3J5cePnS4ncZ95qYDOv0YJVO8kEzbZcugAS+xxEqglcVPLEEqaCjBUAkGOmCYeqxEde59ZopHXx3SDEL+wdd32DaXcNGWIbdf3UMLRauhEaLCFEUDcoW5sQhpUcJ55pYEZMIrRyRP79Xc/WSLV463iJIGLa1YqFtmm5aZhnU+eFszO6WZmxZsmk3YsjBk88IaD74c8pt3b2DztGahDe2mot0UtBoJ9SDk0f2KUaTxmg5U1gqiRFLTiht2D3nipWlX+DRMWe96LK8HnF2e4YfedZaTyys88fwCngREjIECQGEk6Q81M60a0+0mt+0e8OZrB3z7W5bYe8Lw+SdrPLm3zv7DTRKhCUPFIFYoIRFCTASeWU7AGhJjscbgiZQpP6JGzG039rl484ht8zEffEdI3Zc06x5R1KDT87OVVGeEowqv3R2yAHiSuHgpTiTDUNIbSjoDwdnldb5y/4PtoyfOXPp93/1t6tGnD6Svv/myvzkAf2nvszxycM6/buP933vx5rX/uHLqDJ1WkGk6VwkohYvMtbLOmkohkRadWrSERAp8YwlSS00JGqkgNDBKPYapxyCt0eul/IePzWCTmI0LI67aMWJuKuF9bx2yY0NEHItMb0uoMDeZ/pTSIKTgkw/UefFQE6E1x043OHW2Qa2umAoE001Lu2Zo16BVF0w1FO2WYqalmZuG+emEjXMjtm7oktp1Pvlwm2G/yWXbLO2GotWQtOqGVi3B8yK++ESNcCDxNoDMwBQnkmZd8c5bhjz0nKEfSvrDlO5As97TLK40uPLiFu97Y5dnX2lwbLWFkgaIM73sEaeKMHaJmf5I0+n7tOoNmvWQK7eNuPXyESfOdTh6Zh3tpbxwWPOJ+xsI5QrXmJw/aA1gwFriKGXnxoT3v3XIfDvl8p2WjXOQJh5h1CJJPNa6HkmsiFOdxUEO0DnAXUwkSRKX3IqzGCmKnfM1DCWDoaA/dJnQw68uEno7/uPnvvTY4N1vm/+dw4eeii7ZdcvfDIA/9txxIrO8e/nIgV+/ev4euWF2geWOT3cg8T1Fmrq0sZQGJYUDtrHEqSBNLJ5xPqyXOg0YaEsttSSpIDKWKBWERhKmksh4xAaW+m3uf9FgSfnMk25kA9ZkR57FyyyyoiJRIpUiiTXSaDwtaQVw8YKl6RkagaERQCMQNOuSVt3JoamWZKYNc1MJCzMhWxZ6pKzxn/+sxiMvbWDXHMw0MvZuSFr1hEY9otkYUq83CJREyUyD4+RAHHuMhoJhmNILFf2RoTc0rmWu6XPy7BRvuCrkx7/1LL/8Cc3x9QAhDNbGmNQSJx5RLBmFroy1NdQ0az6Neo1G0KAWxLTqETddFuF7MTdflvDBuwZolWRJIJcxHhPlmaQzRiKEJPAU4DMKNStr2tXtpHnMkx2JLGOgnK1zcGesHeeJpbRMKo2ybGmUpfzPrFuevfsB+frr+78+OLftYZGMXv7rwOb/MMD/9S9/nEHUqD/1/KH3Hjz0srjrJs3uLc5asuA8Zu0CDLJ6biVBGVAJpMpF7DqL3tM8ok+zqD6P7I0ofzaCyEgSK0mNJjYBaWZ7VR9FllKAFsJlKhXU6paattRUSuBBoKHmW+qBoO5LGnVJo6YdwJuC6ZZhtp0wNx2yYbbPlg0r/Obdhj+8dyPbpxXzLUO7qWg1FM0GNOoprXrMmRXDoTMBNd+V30Je6ScYRZqLNxk2zY/ojnyGI5uxuGS9p2nVa7Qa03zwrnMcPrPIb312K1pqLIbUpCTGEieaMFIMI1cUNahJGiNNPfCoBymdnosxfC91CTMvRUvXKCGlS+fnNT+udEUAIgO5oGOyKkvj4po0lRgjSUwZ7ySpqAT4ucYWFVkisr+T5ymcKxMnzsIVArSWXLQ15M5tPbbUHhed1evf22pcfujMwY8ON1/6PV9bgL/jxoZ/+uzyTzJc/Mmkb+UXH9rA4R2a3VtdACNwdhXWNS8oaVGpO7R0Wlyn7suWAajNfrbFe+XrslLOebmiCJSqmhvIMnkusNLSoCVZTQt4SuBp63xjLagFkpovqQeKek3RqktaDctUM2W6lTDbDpmfGbBj4wpP7g/52ANbmKkFbGwZ2g3hwF2XNGuGZi2h1Qh5ch+8sLfBpQs2071l2nwYKm6+3HLZjiFPvTzNILQMRyn9oc5A7tGo1anXpvm2N63ywv5zPLFnE1iFMakrh00sSWyLepJhqGmMLPWaouYbAt8j8FMCbdA6xdOuxDgvg5DSlQYjLIJSz5XBuSshNrkjZXL7tWLFZsBOjANx+XOeLa0cCRn4XQGYtQ7cC7Mer9+RcMVFU8ShlPsO9n56YAZ+bBd+Hoi+ZgDvdPpyOBz97Isv/9E/l6NF//KtLoBp+ILBCHwPhHRZNQAhLWleQCUtqXJSJU1tduIsJqV4neYZN5tn3iwmy8TlyQprLZXM+9iKm6eq84SOklnGUlEp2nLZv8BX1AJFPRA06oJW3dJupEw1E6ZbIXNTQ7YsrPHEviE/+7sbOX5ymkvmDdMNaNcVzbqiWYNmLaVei/G9EZ2RRUmFpyxSlp8sNbku9WnXYwaJYZDVWQ9GKb2BpFNXNHoBtaDFRZtifu57O/zMRyWP79mIRWGsIU0NSZoQJYYoVowixTCQ1ENFzZcEviXwFYE2eJ7z+7XK6nyUA7jKZIoQdrxBN0vt24xEbFbLkmaAT0357MhIZs+iBHj+OnGrbpqWK3NOUEqC70l6wwZ7j9aQAnrDjj89v/wvv+V97/SSePivtVf/K6fz/8oAT6IO1sY//+TjD/3TU6dO1DbM1kiz6iWdtXrlxT4umyYdaDNgq9S6n1OLUdlrIzDGFmlkU3i0YI11XeRZCWj1YALgmezOAksnUZQUKOXssvzzeVoS+C5OqAVuJEM9sDRrhlYjpd2ImWpFzLaHbFlY54m9A37md+bZd3yWnbPOYWnVJc2GdOxdtzRqKY1aTJxG/MF9LaRSeNKiRGkTGpsv4R7f9fY17nkmohcFDDKA94eKXl/RCTQ1PyDw2ly+PeHfff8K/+Z3BI+9vBFjJalxafU4cYVmYWQIa67cNQgENU8Q+C6z6WtbZGy1MkjlpKIU1jVK5AAvU55ARiK4XIJzW7JAPgdwNnXAFMk1MnanWHHTbIVOTLlSG2OLFT5OYL0n6I9U9rOkMzxZ+9JXHvxnr3/DnWJppfNTC3N/NW/8rwzwUycOY625be3sc/X5qZQw1iRZnJenwTOrtViWlRGkqgLq1GJUxszGjjF0fgJywDvbz2asTV7ujJ34XDnA8xqMPJOXs7fWed2JxPOkq9/wBbXAzTxpBCnNugN3uxkx3R6yMN3hyb0DfvYjs7xybJ5tM4K5ZkWa1DTNmqtfqdcS6kGE54WcWpnBUwIlTWbLlUFmmrqpXJtnLEkS041rWaeMYThK6Y0k9YGi5nv4Xg1PT3HFtoR/931L/Kvfhide3UBqpAN4aomTNGNyQxgYapFk5KtCgnkeeNpJNFen4twrmXvj2fMFMO7kCllSCFEkh0yWHMqzxWlaJo2Koi4DJmPu1FSvrbuWACKBKBKQ1eokqWU4GnFy6cn6hk07b6uufv+fAPzUwU+waeNi408/+axvoi5z0zAKTVEHYjItnDNsDsr87jbSMXWqyWohJoGdyxBbAN3mciR//RqfTYqyiMq1vIkC3ErKrFEilydQ8yDwDfWapR44/dyox7QbEdPNIfMzHZ45MOLffHiGl44tsGVasdA0TNUFrZqkUVM06oJ6zd0cLtUf8cQeQX/kU1NkN5nT4Ngy0IwTTbOmuP3qHk++0mYQO5kyDFMGQ0UvUAS+wvf8TD9Pc+V2wy/+wDl+4r/BY3s2EBtJbEzWLF32YIa+JPCNY2+vrKPXKj/IZEop42SW5b0QyPOkkM0BngE+LZwXLrjymnSCwArCygBuy+y2sQ4Pcep6PFOzzmc+e7d/xa1f1/j13//84Ee/6xv+5wP85T3HWTbbp3uHfuc3Lt5y9k0rKyOGoY+vbWbiCwfa/Evntci5jlaVO96AUeLCrF0BtCmAXTYFFycmvxjCFRQJmYE7KzJSBcCdo+Npx2S+h+sE8rMCqyClnsmLVj1kqjVkptXl+YMh/+bDM7xwdAObpjULDcNUHZo1QbOuaNQVjYK9U2pBQqsx4sEXfNY7NWZmyjR5DhiTadM4VWyYU9x1fZ8HnzauiyYyFZBLap6k5mk87aN1HSkNV263/MIPnOMn/pvlsX0biI0mzioAXdmrY/IglkV1oa8lWmdFWFKgdH5uKD5ffhPmUkXkVWmUK/HkYSrP5fVmHMhj4B5fmfNVOf87SeIqGMPYuUrrSe9Nc9uP/va/+KH3/fA/+Kaj682Zi/7nAjwQRxGc/onV1QMfaHnHkDPTdPrgaZ11iDhrKE2zgCQtg0Sn1XIdR3nYDOxZcib/4mOB5CRzZ0jPM3KF9pa55i91d14xqBWuPkNbPM81Ftd8Q81PqdcSGrWYZi2k1RgxO9Xh2f0hP/nf5nn+8EY2THtsaKRMNWwG7oy9a5J64Ni/FiQ0gojEhPSiAKEkXs7ghQYXGbtlfnHs0fRHrlwgqjGTg3yUMvAdgwe+dDXxOt+A1nLNRZYP/fBZ/vf/anhs70ZiowlTQZSajMUFtdgQeBbfc72rOos7tHIlwkrKsudVOENAVuIXEOWNWY11JsBdkFCFmKrgHgf7+CqdZv+fvLQ5L8sdRpb1gWTx7Cobtxz9wJNPP39oGMb/6n8qg7+y7xTB1Jadzzzxf127a24fC+2I1c4Ia4WLyEOLlopY5ZaRIFXCpYHzyj4lii+VM3lVwpQnTFSYosxK2uqambN2NagUZUe+zsZLKOmaADzlgO1rW1QP1rw0080x9VrITHvAVLPHE3sSfuo353nu8EYWpjQL9ZSpmqWVgbtec3ZiDu56kFLzE9rNiD1HLQ8828SXEk+ZLIgrdWS+fMepIjGaO2+KufSSPoeO11loUPY5himDUcbCWqG1VzhQQliu3gm/+IPL/Kv/Znj4lQVGcd0lwxJLI6vhDjwcyHW+epmit1WqtFjhlBQVgIsKyDlPr5Qgt+MALyoUy5W3ujJbaysSpgLwShWja4eDXihYDSXLA3jqlcM88+ID1/7w9/7TnaPeqWO11l9+g6y/NMCtPQbUL3rm2Uf+08fuCb+5pmN+6jv6TLcUqVGFBy2FRaksq5VH2WkGapPLEXHekpYHorbwtCdckvPckoy5J8EtLFLltqADg1YZa2uLrw2eZwg8Q+An1PyEWhDRqIXMTg1Y6w146GX4xT/axIsH55nPwD1dt7TqgmZNFF65c16MY2/fAbwehERpymhYo6bcTSaFGKvkyxMpLtDUTsvrkDCyDGNRAbjB91N8T+N5Eq0USnoFwBFw3cWCX/zhNf7DHyc8tneO0502o6ZkOrW0EkstmzgQeDbz/nMnxRbsnUuVHODF580+dBXnhULMLkq+qpbgHpeUrpqzAvaKBM3dlCRP7CWuW2gQCbqh5NwA5qY6fP87zvGGK2a/+cmnH09pXPfPnnjx9NHbrtvy1wvwp54+QbtVv/WRJ/e899nnj3Kyt5XAO8lPftuQehAQJYrUCITNaq2lRWfzRlIlxnV3JlHccm2zEyAqJ2Zc85WPcVWYXwQ37iFnb5vJE1sZDuTKYj1tsjETaQHuwM/APdtnaW3IL/xBg88+vsByf4aFKclCLQN3zenuRhZY1gNJI7AZgzvtXQsiIOIrz/usxT5zAWP12IjxFSpNXfNDO9C89cYBT+yL6MUBU0XHusEPXa26rx3AtbIo6SGkS9Bg4Yrtkl/+x10+/8SQn//IRk4uzzCc1kz7glZiaCQQxG70sq/cQCMvDzSlKILg/LkaqFdvTCGKXpHi+sCEhKwCuxI/mSr4K0FoPr8lNRQNFWEi6EaCwBvyL96/xLffGXD41BHS+kvvXWg2/iBlcPSvlcGjcIDn1y976OFH/8mTT+9j05QkTDWPvNSi/55lGr5BZ/NEbHYG8pqTPCFgqp6pFRVQ5xLEljbUJGtXZUl2onNmkcV4ibwMIAO4cplSnWXvPO0+n++l+F5CzY8J/JhWfYjWAx58IeW3/6LN3Y9sIDJtNrQF8zUnS5wFmPvkKjtExtxV9o7ROuTRV6cZRJrNjfzzTDJ4frNL4kRR8xS3XTkkMQ7gw1i4rvW8cz00LjjUImNxdyOLLLluEcxPCz7wlj6t4DQf+YshD706x2JcZ1CTtBNLU1sHcp3FIcpmcYnNQJ6fQ1HWjkvXkJKf68kdBQupko+oYFKbV7uHytrzMRavJH5cgwXEGaNPNxPeeLVlvTdDt1+nv3qQuYVr/8m1193+XLc3PNBu1f/HAX7ixCleeeELNFtTW9aXj755tj4i2F5jftrw1ttTal6dOFZu1IOyeNYgBKTSea1pWqZ7U5PXOVQCylxrkyUTxoBdsR6q9pWwE9Ikz8rlBV0Uk69y5vaUq8UIvBjfj6l5EY3GCN8f8Ef3an7p9zZwaGkWL6ixqSWYDVLagaUZQDPrsK8HLttZyxJCrn4lzVYCJ0+Wuyn9yMdXCl/aIsCk8lXyGzvNajaixKPujdg0PWR90GIYi2zcmosVPC/NbD6V2Z3KAXwscHWVj9/8xj43X7XEL/7+iD/84gKrSZNB4NH0JG3tanACDb6iaIbQedInW/lkIVXKBFCVVMbFShXojK3Axo5LzcJBqTB6NSGUM7m1UNNuKOpvf26Bt10/w1LH59xKyGq8981Hz4Rbut3ugdOnT7Jly7b/QQa3KRdfdtdFe/ft/c2nnzvMzLTPvJDs2ma5ZOMcnd4QJY0btyYMSlEUVUnjonWTjUWz2XPO4NaWAaZFVCSJmJAmObhtySZZ9k1WAS4tShrkGHOnGcgTfO0kSeCHBN6Qo2cTfuvzTT798ByHz87QbnjM1mAmSGkFNku95+CWGbhlkRSqZdo78N2N026GfOpRzYFjdWrZBK6iXYwS5cUYB5sVJyWaK3bCN97c47e/MEe/oWlns0eCKIsblEFrmY2towJyr3Kt3KqwY17yU9854NqLT/Lf7p7l8OIUq0mdgadpKkEjA7ovrbtxMpepWP3y85rbhzh9XmY67fk+eU5MeelE4ZuPW4rnM7lLFhVAz6aaNT1LWyiOHJ/mcSXxlLOel88c4HXXX/mbd9xy/dcP+t3/rlT5qgC3tg80WDnz2DadvLRr80wXhBvnUA8MWipGoUfgx5XoPkVKg5ESndUu2Jy5C8bO0r1V9raiYIGSFXLatmM6MAe2e85HKTtwO9ckZ+8UTyeuc0cnBEGIr0N6acSvf9znI5/fxKmVaYyqMzulmPUtU76hkTF3o0jfy6xOJZMmmXdegNt32cswjjhwMqAfBcwEmYuTJ51yVyLPwtpKTUqsaTc1F2+LUMGIXtRi6AvqsSXMAa7TLFGjnI8t8xLgCwWvioWpAT/0zQPee+ciH/l8l9/65BzLwyZDXaOmFQ0tqCtLkFjH5tJJFS3L8oY8y3kek3MBuTLpsMBYLFVqclF5PQ50Y52lDO7c1X1nK59YjKn5CVoJTi6uEPmv7LpxXW/7prted3SpG7HQ9v9qAF9dWUaqaMFY9XEvfsjbuWWKMA6RAnzthlMqZTKQOWkiC7lhMFag7Th7W1sBdgFwUTL3hW+1ih1oC2CPyROZVcmp1AFcp2iV4nsxNT/C9yI6o4hHX5T80b1tPvnwHKO0he/7zPmCad/Q9C2NwNLwS3DXAkkQSIJMmrjEUOZMZAD3PZf5PHLG8tAzDaLYI2ja8wLM/FEwV1aKGsUKz9PcdXOPj32pz76TTYY1N5oh9Cx+Al5s8CKDUtL51tINJC2G+1CuiKmRJEbSCDQbp4f879824ModIX94b4un90yxNGwyUj6ep6lpQV26KQeeso7Nc6kiSqlSBp62kggau0RjjF6syEzIFCpgz+Owynu5GhXS6fBB6BjBUy4ADiN47u7nvDe98eaP9/rd63vrvaW/MoPPzmm5eGbvrU888vhUjTpTzaioNVHK4Os0kwBp1nGSP0og50GkseNlmK6+QVTqSsZlyVjhj+vRcUxepJRNUe7pdLdFq9QBXKWFHNE6ptOPeeRlwe9+oc29z06x2mkh6zVadcW0Z2n7hoZnafiWuk/G2o6564Gk5itqvqDmk1XomQzchsBz+lvpkP0n4VSn5hIrmb4dT5yU9TOuD9KBPDGSKNJsbAsu2z7kpeMJg9gjzGZ8+xEOfCqfrJsnakBOdOYUbFj0P7r68PffNeQdt6zx5ed6fPSLbZ7e02al16Ajffq+xlcCXwoCievhlBYt8rgmc8ZEVvZ7AQY/v36leuOV+QwzCXLGcx5k/7axtujKihKKQf/WwoZazFOPPjgVx+mtC5t3fYGvMjzoqwL89JmVIImS/7pt7sWmJ8Kxkk8BWaIgA5o0Jf8W4BVl/UIOapPrUDEGalv8p3LmxqSJpVqgn/9OlXWnKJm6gfi5myFjlnoJDz6j+YtHWnz2oSnOdZuIWg2v5dHWMOW5Tp66RyY7oO6L7JBZyWmmu31BkLN3DnCd4PsJNT/C2pivPBtw7Eyd+VmBJ02mY0XZ6FthOztWbqoYhh47NwruunHApx+P6Mcew1hQ81y/qp9NlipXKVX41Qg5JlPcIctGBeP89noQ8v63DPm6m1f4zMM9Pv9IgwdfbHGu02AofIa+RnsKLQSeFHhS4gmbSS2LQlSk4bh9OPH1xkBuKs8mK9wakyeIQq9DdjMZQSgsOnWyqXoDWQyfeXB/8/Y33PJf6+L0lcDwrwTwP/nzw4zCDutnz/CvvitkMGoQZ3431Qmwwv3a8kPkd6QsJAgZi49dhOJmmBQmYjygrABbCJPZgQaRAVzrFF/H1GoxozBl3yk4elrxJ/dN8YWn25xba4JXQ7c9GkrS8iwtbah7lroHNc+Bu+a5mYSuzFRWDpH9uc1AbgqQ+55rTzt02vDSkQA8L1vmbSVFL8ZQUNWlaZbxTVI3zvmai0Ou2tZn76kGw5qgkQiC2BIqMmvPZOyduym5BVlqlcJnz6xIY1Q2fcBjFHnU6yHf886Qd9++zj3P9PnTLzU4errG3lMNovWAJNCMtEYqN9VXATp7zpm8kC6Uwf95j6qbQpW9S1lioCyBrpCnC25F8bsseRWmIYkivvPrj7Gl8RJN8dXLaF8T4DY5Kkaj4T/53d//rfkjvYQXD4+44bIRoFFKkcSSKJbZ0PjqnZvLjpLFSwbP/7wK7sotP8YItqL5XFLDSRKT7fKQEgRukmqSpiyuwH33aw6drPPAk3VOrdU5dLoJQYBqaGpa0dSWpjbORfDc4Pya58a1ORDnh8wOlQGcTHNn4PZSAs+xt7uxIo4swZ6jDTw5bg8WEoWyHrwIunInxWR9jYnHVTuHXLZhwMuHEwaJRysWhBr8LMunKgCXUiCkHGPykimrRW15/bnro4xTj9DzadcjvuvtIW+8tsuptS5fecrn8ImAe55tcHqlRjr0MFIT+wohpVspsq58SZbxhEK2XAjkYzqcSpY6uxPzLOhY2eK4NwORhcQgdIIQEbfuXmfDTJ9PfHHv/F13/fA/efblUx+66ZqtFwzfXhPge1/6HHGafuDs6rHms4daPPrLLa66aMidNw65amfExhnDpRcZtHEd0zlDu672KrAleTMrlffL7zAZWNpKxF6ydiFFVIoXpMSp5fAJwUuHFfc92eDlIz6vHqnTDQPCKADPR7U9AiVoKGhoQ73iAwc6r9PIy2ZdXXiQyRLfV/i+zG4AW2pvL3WZRc/p/JofY03E2VVJaAO0lvjSois22wSBFyBP7Xi/Y5R4CDQLsxFSjejHHgMtnNMRlwVjWpmxDKTMTWqAfNgRAmtkyeSVwUheqorxE4PQZ9NMxI6NMTddEjKMhvyDIx1ePupz3xM1XjpS4/DxGnGiIFBYqUBIUlnJBhVJitfQKmLii1N5JvMN8/eKv2MgtmgMuy4K2TITccVFIW+5MeTKHYbuSPHFJ480H37yKx8QUn/o/xWDhysf5/jpgfrIJw6KLz45z74zikFsefFIxL1PDZnSI3ZsHXHN7pB33Bxy5w0RWPA8S73lTjJWgHFd1aUFKAq5Yjn/ZIhc6khXN4IwCGmJI8tg5Bj96EnJH98bMIgVz79a4+CJgOW+T5j6oH1QHqqt8KWgrqChLDWFG2emssIj5Vjb94RLelTB7Un8TJYEPgQ+mWviUuaeNvhekmVEY+q1iHNrKfc91qLTC5iZEugiLilBfkFmM5WA0EjCUDE/p3jH7SPueXrI8U6ToSedTNFujowX55515rHL1NmFVGedyOJ3GKvHMslpKvFTRaoViefGPsSx56xUL6bpx7zxmoTbrgx5z5tH7D8heWGPxzBS/OF9DY4seiAkg6EmjVRevonVOcAnLKMc4JPAtgAGkYAwFoubiFBvGDzfdc7cdUfI21834urdMTu3WBpSMdPwiJI6w5GPf5vP6bWT4vTgCvUf/9ufJ//bD33TXw7gSQqbNzR+va771/lGsn1Ksh4JOrFmOaqxNIg5sh7y2Cshn/hKxPx0jDWGG3dHvP9tQ9eWlMDCdMoN14Q0a/lNKooc2PnXXBTDeToDwQsvala6knpN8uQej889XGMUK0ax4syijxGa2HoY4YHWiECjpcRXgpq01DJgB8oSKOtqwHXm+eqSuf28L7MAt8p6NEXB3r5n8P28QCst2Nv3Y5SKuP85xacfb6F87ey2Mf392gyee+FlN7piNPJ49x1DPvtolz/8yhT9pEYz0+FersPjPClji24hIWQBsKzsraL1KwA32WgH7Zjc04pEa3SSOqCrFKXcIP2ZWsIdlyfcfnmMFSHve8uAUezGuf35wwFP7fGpB4LlruKFl92YEKeSBK8pyoudJ1xr4A3Xx8xPJ66HILW8/64R11+WYA3MT8PslACrSVOfKPJZ6fiMIjevMk0CTp0dXGdajV/Xyv7QX4rBT5zpoGfb7c98/mOXv3AoVkpapgKDloJACrpK0ksCosQjTH0WuwmL6zHYhP3HDZ+7fwow2NQyNZNy67URrbqrCb5gerJ6m2euw3pf8fRLPt2OQmrpZqJY7ZhJaLdxj9QgNVJKPCkcmKUlkAZfOiD4yg35zGf0OZCLsuFBu0aAvPG4Cm7H8FlZrZczeFo5EgIdY23EqWWfKKwRTEn8LO2tsqq8sSymKK7vmHVadKcbRRR7zLQU2+cjfDFimAQME0Fdu3ELeQ1JntBSslreKovf5X6HzJI/psyeGpP1TJbSKEnSLG+gsv2PEuIkRcUul6BVipQJ2+ZNtmIYrtwxIrJDpDZ0OoKnX9KsDySqUCzjQXWVzLGuHrxZs9x2XczUtMWmzmGrK4FCkFo3hyUKvXKaV+wTxW7LlVHoY4xg9/aOmtrcufz1b/jO9j/5/m5XiPEBnucBPBqusni686HHHl98y/pqTLsu3ESqzCrSUuAJSU8oRqpGagyYBExCYlM6+fAdaeiuWc7cX81NXgjgVf2WXRwhMPmWC2Q1p0KVQY6UmZWVgzpLO0uyjVtz37jyrLNOekW29R4FuF1bl8LPwO1rihJTx+AZi+vc+0/wvJggiDmxbPj9e5qgfTwpygCzkCfiPAavZvryIaEObG6wThR7fPAdQz7z4JBXz7bopx6NxG1K62Wj7opOHJXnBKrBXl66mEshWSnwyg9T1MJorfBSNy/Fy4CuZJk0c3Zw9lqYbHBQihYWYVPmG4ZveIMBkWYyExD5/hnnO2SljyiwRmMSkd2MkjgWhMaVYLvzUY6FCyOPYegzHHmMQk2YKLApYnTuLefOnfyQNcmP/HcZfPHoF5FK+Numl1jf4tEbGAZhbgXmH9gghUAnkqFQJEJipAdk1ew2JT+7qVcFtr3A983ZLQf4ePAipCxa0JQAT7i0ciBctaAn3c9aktVUZN3jeSGRpjIHhWxntrKrvgS4LGRL4Nuipc33TWVwToKXsbevY6SMOLYoWOrWEFoTSMbkiax+rcrZq0qHMeBlTkeUeMy1Q3ZuGrJ3MWSYakYpBKnASy1ekunwhMJZKlPoaqxTIXep3KTdvOFAVKSRQaeGVEmUzrcvV1mxWopUJlspTGnNZiAX+e8m24Fa2sL1yoGeO2DlzV0UO7tnW7WUsxUn8/CT1LF4nDgLdRQ69u6PPAZDj/5IsdqBJ/etErx0j3+hfM95AH/qpYMgBFGcMDvloWSKlGk2UclNmMp9S4FBp4KREMRWkFqJERbwKHdSqAYVFyJw4ZbVPHEgBJIyReymUoEnLJ7IQJtJgPx18V5G9mUpKEWDra+EA/sYuKV79nOg58FnBu68+0ebQqJ42ulT349JiPn8o3XOLtXxphR+tYaj6qAwoUirqWsrJoJAV9+zcU7yrtf3efTFEd2kxkBr6okhytLpSpYFUXnBmRCGsnMoDzRFYUs66zCbqWJx3VZGoI0gUQKdymwXO1fLk2RAL5NpZVJPSlNJvGWvZRXcmc1b7BVz/qUfL6wTY+DO3aUkA3gcu40PwlAzGGo6fUWnr1jpwCAa4DcPXVABjwH88cfup92sveFPP/Pwzb31RWpB7ny4if8jlVXsCYEnLfneklpko3ete07zE8tXwXV+5MkCASp/FhYNhdWmspSxEnmXTvk6r5vQUhSjEKrALuagKFw/4oUAngecue7WuSyxmd4eryX3vRjfi1jsGJ49WAftozN5oisFSnm2T0wg3Nmnlaq7oi+1clFjjxsvDZmbHtJZazBIFA0FXuK+Sz4dTMVVgONAXvyiMtFWlEkYW0ypMsqQGoFnBKmSpMqQKkGSgbxavJaXQ8gc5BVQ5yUTApOBnKykueDp82tXigW94rBZUSnGK2OEfC/TNM0n0yq6A8V6TxBGrgn80o1TN2/a+eY33Hfv2x75urffdWGA+yoiTew3XHOJveHUyRiDxyiUCKvp9g0W40CdXTwtnWzRMuuaplItxldX3VWAu92FyZIH4yPXVAXkOWPpvDYiqwHPSz1dc3HeqeJkiSq6V0pg5823jr0zza0p9HZuCTrGLsHtFdWJMYKYux8OePTlFjLQ+NLd9HklXrWNrqz4m8xmluXDppgB6PTncORx+9VDvvGNPX7r7hZRGtBPJbXUEiZkK1e16s9kcs5M3FCvxeRgtCxaCXNwp0qilHGMntX05+DOgV7WANkS5GPZ5pzJ80W6WmQ0EXKOlWpUa5hK+zSvPBVZDXySCta6sLyeMAoNp89FjFJzQ3Ou/w1xEj9yQQYf9g6ivfY7lk587jv78/upCc0oskSJYKoJJ5YMa4Ns7onJ1LJ0OzRYC0rk1WPlnIvXWpoKkGfgzgEgK6CQlDUP1dEGOXMXuyCLfAvAcnJVPiaiYPGsG8ZT4+B24xQmmDvr2fSz9jZP5w0HSeWIiYj506+0SW2AKrKX1QCz7GvMnY0xDc5Eu56Rrnc1Z6xUI/B4/1sH/MHnQ9ZNzDCtMUwFXkLB4lJaZCIqFZ0yC/CqD1mxJgVjtdg6G+ugMpBrizJOrrgJZK6C0WWPZVGaXFqU1erOsoy5aEopgP7VHLQSFbbC5nmmF1wji6/dpl5nVgRHTkvWu27oUX9oOHD2NO3NS9/5/R94+wP7Dh+95/JLLhoH+OGTCu2JS4/uj3bVk3Ns3zTNMNR4ytCodzm4KrnnpY3MN8yYpJB5+rmis+35n3sc2Fm8WpUnBdAnyjMLLT6hOXPQV2d7KCVKLZ5V3I0Nu8mArZUonZTCDnQd964x2WbMXQaYusLegRfx7EHJgdM1rPJQUuJLg56s06gI8EkXJT+K+TFmnLVccOWxa0vMVZf0eXx/nVj5DBNBTYKXWnQiMvmWdeEkmQ5HOrkw9itFhcVFRRrlnTW5u+LqXfLxeiqTfiW481ogm5UJ5ExOsXqICrgR+cSs15ApF3jknVxFSQf5ljOGja0BX3h6nftenmPK1/jKMowkiC5bZ4e7FlrppYGw95zH4J5YxxMREk2aNGk3Rsy0E+rBiOcPjfj8kxsYGmfy+3l7WP6BZVlFWC1xPf/r2DFpApWlnPOXdVXUfJe2WylZhOueFyW4XZApim5xXYBbjgG8OvzHddtTALvIVhbMneJrl9hxXUExlphPfKXBykodEWjnu1dvwskalOrdXbEI82kC1Truwps2LrCan5V86109nj3YJkxrDJRPPXVaPC9nVZIM3PlaYTJPPK/+cCzOhB43pjKgaax9TKJMOSQ1f+0ALrPvaYq2ubzLXwhZNkdMMvhEZeg45V3ASqziJfvdWqVoHfENd6zzxecFz+5foOlJfAkbmx6rKyn7jqwxGJTFhQXAP3/P75Ekiks2rXD51i5ChGh/xAuHLf/sv8yx79QUrWZ2I4pyzncVrNWKwvO/yHh5ZbUAqXiuArrK4mPjxUrGllUGV6LC4rlckSg9DnBfZwOAvHzrwCzDqS1ekYo32et07NDKde68egw+fm+LUPooqbLs5fiNOJnBPP9Wz9mKCR2eafFUkaSaINV869tH/O4XBrx4uE6sPAZS4qcmc48EMrWV82Rde5moRkAm+13j+xZVmTw1oAsL0e28obKSAJXaclhn0bklihs6mdDjZR1RtUGiMvtQnC9XxnNDmcUo3PeQplwN40Rw5Q7Fr/3jM/yTX4nYd3gK4/mcC+GJl56h5r3CMCz/fQ1w9uwZNmzY1PhHP/WrF3/igTVMqhDWR6qAE6t1jp+bwq/51PMdu0QZ6I0FURdYgvJSx0nW5gLa+7UliiiAMzkOWVYYOw8y86lNWuebvGbaW02AO0/fe3ljsnEzQ4oWsbynM8mOGOVFHDil6UU+KJ3JEztRHjt5444jfHyg0YQXnnXjlIkfTdMTXL51xIsHIlITMDQ+tdTVbOtMgyvhNnLNQSEKYOcNETmTi4rf7HJyuhhs6t5TBlLpAK+y3SmkKScE5NO10ry7vzAAyuCyCDwnrvcYwAu82AouJiWrBWlJhUVm/avdQZ2LN1p+45+vcGZtxWW7I0UjWGDzxhsv3nLDv2x84H0/Odi8ZaMD+PETi6ytdd5+0+4tP3HvQ/s5traFNE0RCKSnaNQEbe0q8nxdJlbUBFMVFn6Ftarac3LGhlt+xoFQArvsY1QVVlRjQzVzkFPWSKsKqNX4LsaeIvPCHbgdgMuhQF5VnlTZW2V9nX7Eas/wX/6sxcqwhgg8J0+kHVtVysE5X11zjk0TyJuwCwZ3jkqSaNoNzY/+/R5ffrbNSugTSc1QSvysh7Ic+ZAxeLWeXpiijNa5YBJrDRY54ayIjMFtEaTnYFdSZAzuyC0tXBQKmVLq8LKdsJQp46+rTkr1vaqEqbYnljMpRUHwqVFsmI7YviEBYYgjn+NnfDrDS39CHDz0iEkGnykZ/NQrrPsBnjnI5vk+i4MpfK2QwuJLqEk3MMbPkwyVeXty7INPMHX1veodO8FupQYvLUghJyXK+GCaAthSIFU5fkxVQK2lRGeSRBcAzzW3KYJKT5sC3J7O6y/G2dtTMb4f8Sdf8XjlUB2kh5SSIC+NrVibxR7x2Zd8zWrCCpsXO1VUZEpiZLbJk8c1uwZ88xu7/O4XahgdMJQ+gRRF0kdJQVwJ6CaZXFSZPM9R2Kr3DEaBsm5VMFY4cOdTwgykxfwUUQK88uzAXdp5heSsgLZkbst5K/oYi5c3jjGGVFYtVXdewsgvrEtPG44sjji+doytm33iJCwlSq0Jvi9ozSToWkxNWmaDrCevSKRQsLasBpmTWnNCc44vO6J47bbOEBdk7zKwFCWbF7/7vwdwWQK8SPTkALduTnYmRTxVuiVeZThQqbkde3vaTa1a6xj+/P4Wy50Aapl7IirB2GtIlPx7luiuSpUJ2y63DI3EpLmboplpK77pLQM+++iIlX5ApDTDVGb2ZN75Ispm7KLNq9Th1pZdP6Zg87w/UqBzZ0Vlr2X2s3RTgfPzXgW5kKLSfZ8P8SyDw5K9xQRbi3EwV7BR/fP8dyhpM9lmiZVExzrrD3DB7lQjZBQPGcQDrEowxu0tqvfsPcCG+dmL7nngiR//oz9fY225ybZpg58vPVVWknChMlCRs++YrrqANh8LLMX4v1Fl77GTlSVOxoA9Pvu72uHihrszDu58Z4OcuVWFuc9j8HzcRDlyQiuXuTxyVLD/WA1DgJC6aM4tqwer8YOouBrlnV6tRSmZXFTkiSicjKLdLNVgNVfsjNi1ecTK3jo29R2LZz2LuuLilMFdtdArbyyQZQLOZmxuS5/cyHJuZDW2UcZdfyPJtHd+XUoyKsBtRDZLJdfkVclW/lyu8tVO/UniKwNZJS2JtNk0AVvR/5ZR6LFjg8/8zFm2XXLzj2/Z+bbnF08fOqprvsXacNNCW76jxZBt0x5x4moVcsck/+XyAoCsrMSV5YcLg73K5qJsxq3+m+PyRFScCUEZbJaAdgxONgq46oNXj2xLa1UFdwXk2X71XlYamrO3yn7WOkapmM8/3uLAch38Up54Fety8qafHBdxIZlizgs484zmuBaPIs0l8xHvun3AU682wHgkqdPiXrZbtEzHpVLBnGMTBTOQW3ve5ANrBUZmr2W2qsj8cOc+zVYMKTJWN/kKawtiKhM+1dcZkCvgLeO1SXavyBhkJZk0oc8rzchuQ4E2R0+m6Cn5jvbcYNNwmB7VrXpCI0iYn0nZsclpr2EoihFaVAA6Cd5Jlp7U3WTMXv174gKgzn+eDNByQIsLALtgcyUqTbgVcGfzCcttOzgf2LocEFSMeNMmA3ni5ImKqTciHt+n+Mz9TYYjHxo6KxselyaTn38yJjkP4Ezo7wnLsOqLx4lmqqV5z50jvvDogCf3+dimxzAN8AXFjaaK319xIQpwlyCvGrp5CYa1Aqscm6fS6XFTYe08qDeZTJVGVPS3qAS6JUkVxJiBQIh8BEi5io8HmBWpQsno5IRRuTmqRJEawTDUHD9r2bRm2TxK6Q9S9CgaoH1Bp9/n9HJIFCsCf3xOBRfse6/8V5yf1nnNwPM15Im8wOtCiogS1FJVdm9QIqtNKcFdgjwvm7VoXY5Q1tkmTFqNA90r2Dqb86JcgOn7EXGU8oXHGrx6vAGeh5AqA1Uei9ixC3uhKsIxR6XK2tmsD1vJZJrJqrrMLowizZU7Et75+j4vHK0TJj6p9BgahZ8y8VlyL5wJBhfj1zO/ziq/2QxGCVRexioFVrlcXq7HixVVgjSVWYamXDXkhaTsBbGQgTqblDtJBtUNDibJoXjOvkPgWbZsjKnVQuI0xBCif+znPo2Qkmg0IOn5zDZdQ4AY+z+XF6L6C77K6lsGlRfS3xPMfR7A5WSAWe5AUEqTilVYMHYO8HJyaiFRMuZ2jG0LptbFc/nay4JLrWICP+LlY4J7Hm0wGPrQ9JAirxykYg9eIItZ+Z5VWshrUdzJFYwPkp9I+FQKsKLYo9WKeOcdIZ99cMQLhwPQPiMj8TMtrgyotNSuQoBIKeSB056ihIgqnRytKKWLdGyeryp5/GWcLe2kScbowlTdlIy8TMnskzmOC7psYhw7F1zxirhFjDlQJRgtF2+27Gzfw3T8FRrWoud0ghCCtAZ4PoEvs+SMLQaXj5dclkD/aqWw1Q9aLkVfPcgs5EgRVE4yuNPb1WymUlnRV1ZR6Nq5ste6Oh98AtzZ4eVTaLMCf60Sd+gYz4tJbMrdj9R56OU61DRI19DsVUp4x0pjq0f1h9e4YOPz0EWxG3nuqKRGjgE9HHm8+ZoB73rDgFeO1UgSDysUQ6HxUorPJNKSxcuPcGEmrw6xVyqzDKVjc/ezQBpR6PDC788ZPV9tMwYvhnZOgHsy4JwE+Vd7VIezjo2Cq8y3HITQHTQZhG4qgjUW/c1vNmgFnZ7gyEmf3kC4IHNiEyE3u9tmI46/+m5ngvEPXzB6RUsVAK+0dVV3FhgD9phUqabpK0e2Y0EJ9Mqhy01Qc0B7FVDnzolzTNyzUjG+F/P8UcnHv9ICfJAeQqiii0hlG6nKCXYqXYJ8eRUTAKOsSaHK3BUNbt3OGEZlox+KfeI11mre/9Yh9z024ulDbpJAbBSDVGQFXxno0oy1K4q7qrzBrR4oxoHuiD27CS1GZvv55EFxrr1lxubCPRfX0FAGhLJy80+4KQUJ5qv9a5FAfvMXoC73d0ptvmen29+n27OsDdyMcSlAz00tI6Wl5mvCsMmpJS/bSMoWID9vh6xsPxaqIJ+sn4Hz9BZcYPeAsdcZSwvhTkyu7XLmKByVCsjz8oFisymbgT0fgF+Ce4y1K895Y20uVZRK8LyEOE144Mk6Lx2sg+eBdMGlL8quosKzL1adC2vwSWjZyouiAaJSIzJWXZhKjMqL/zVh5HH1rhFvvtWx+DB1LB4Kn5EBnYoy8Etzu9BlNkuJ4j7A5AzBAlQSrLJIK1AWl/20AmEFVoC0opQqlaCyZO/suprqjW/HAH0+Phg7R5OrXJkIq+zBmW0um6SWKDacWU7oJjFKu3OpP/Ngm8QIpuqW+bbL9knhWpjcvpbljsQl0EU2HLFc2s7/aO6bVC/2ZGKnCnIH6uoeMRP1J4Ji751i9+K8+Xas4aHcukSpCXBXhuIX7olKUboC8Eyi+DrmwBnBR7/QIow9aHiZPKFoTVPVXYKrzsmYuBzD9thpqgK9ylTFXkWVzN24Ftc0A8l3v3PA3Q812XfK3XypUQxS5RJ0aZb8wQVwIs3GckysJDYHegXgspCiThJa64JJK901slI4gBtRxko5k5vSEZsMMPNJWFQJoCpVXgPgZpK1Kzsmp6nDZmIsJjW0G4rXXaLYskG5WY7//t//541S1P/9wUOLV/iem3/twDE+OSlPXFRH6hbvVQPC7CjtvPK5TNKIrOwyW/oqP0slxyy/ySMfmVD1uItnXepu56CMg7u6V09ZTJXt/qDjopnB0xGpjPjdzzX4g3umIQhA1VBK01CWela2kFcmenmTc9YaV2ZSq4koSTkZlrEAtYwlStsxv2mFJGv8LXshlbQIa9i+KeLUsuSZl3wSIUEojFAI4Uppx3IVk0F/DitbBZgYW1WKG9HacdBhx+TM2BxwxgPA6ryfyf+PqQDYMjkvvNx+Ms22NMnn7cSpa6GMkmwb8+wwFlp1xYYZxRVX3rLpmuvf/CV9+vSpaWEHX795LmVuWuJrN0MjybZfjhNBnICM3clKU0Gal0VmHSn5nVZ9XNhBEReQJFUNni11VdYeqwO3Y9pbFmAoJYmqaG9V7PRQ2YhK2QlJklcK5uwd4+mY/aclH/tyAzd/xbF30blfyehWxwuXzRvjgaao/lAAaAIcplobUs4VdIFnltW0EpMqUpVp8VTzbXcN+PQDDfac9EBGWCEZpR6arF4kP9f5ZPlUFPrXQbUinazNenCdV51/NpmBU1qQ1smWXHdL636HNZk/bpy8MRdyT6jYqBeQJ1UWr56XfDC+KXZjMyQZqJPUkiSWJPt+UWzZfzRm45bu16f25LS+bFuP4WyPDcGA1NZJEkGc7VgcJW7guJw0LlNnAwnnchUXrFQnZcgwHnRdQJZUdawcf10FeF5/XuygVmjwcqvAfGc1NQFuN5HVZM/ODlTKoHK/WyUomaAyeZKqhM890mTPgVJ7SyGd91100JxvfVUzmOXP4vyLN/Z6vAF5zBOvTKTSRrjaFFmm8KNYc+WlIe9+Q59DHwuIUgVCkwrNUAh0mtl35Jo3d1QqNiFlHYjNLqK1AmXLi2ul+4yqysTClil+AUY64Jtcpoz54O793D6clC6vKVEqmd600NoO2FFsiGO36W2c7QmaZNuA90cx9dk+W9YCtOevE0arNNuLzLdmWF5rMowUYaQYRW7QDoxn24rSxWy2y/nt+qVbQgXcsgLyyUTAhZsbxlk7/zln7RzsOXMXQFdVJi91t1LlsH6t3M5wWpZD85VK8byYw2cU//en2oykRz5Bq+yaz1aQag109WK91hWbvIBjy7cognYzlrKvanAxVp+SGk2SegRpwo+8t8+fPdDg0GkNKgajiYXHUAhUWjoashpsToA89+YtoPMbLntPWpeet9iMtXNP3Iyxuc1+j5ECYcvV44LGwtjKXr6+0Dkq2+oyvZ04cI8iwyjKd6ODUQznegYvGGHUACvr6Mdf2Myx04Jjxxt87zeEzE5pvKFm5Gm0UoB25YkJlQ/sAhekC4bKCLhS9zAWSFxgR+ILMGAV2GKCtfNEyji4TSlR5DiD6zF/OwPzmN9dOaRjcU9HdCPDb322zalzASidWYMykyd2zPcuXnM+K41Jsq8G9KpUKRoPqj2auS6VxVE0Q0hFmmi2LoT8wDf3+MWP+nRiFxBYKwmNcrZhmn8OC2nVNixBXv7X/YnKEGYtBXOrPLOZB6DSlgxuK9cuw4TNzoURXGC1q67qF/bDJ7W8zUa+pcYx9igbyjqM3O7I3aFiqjXk/W8NuenaBl5tBi1lyoZpxayaRasRvhcxJRNqgcL3fISAKPZKFNvy4smxFH6uuUsPeDI96/ZdnIysx5k7B3bJ2uWU1oK9s4L7EtAVJtcmY3RTSBMnR0xFquSMnRTPWsXoIOaTdwf85ifahMZz8kSoQp4UTcUTltiY7i7OQfVSXRji1dlIpVVYBX2esnc10Xl2sxyM47YCr+mEH3pfn/3HfD7yOafFQZEKyci4gFOmFAxeFmDl9Flex6pd6UBdShZrMzYXJbM60rHOPhxL/DgZU9SlZyRnimt84fiserbGrcJxHzpJLb2hpTOEfigZJU6fB5HPS/tm2LldsXmTQV+9K8HGI3TcYeNcTC0IEViSVDEY+RxOpzi36hHHLtjMp/LnUuPCFWETwBavAepqYJkvo2MSxVaCzGyL7uqWgarqOpiKVMnBXGFyWVYHFrq7eHazBlfX4M++3GAtzMHtAO5Jp721GJcnY6tO7iRVrlBlYbsgKxUXL/uDsao+I4qkSrXTp6gTlxJlFMZoklQz5ae8920DPv1Ig5WeAhmDUcQ4PT5ZXTh+y702k7s8UJkUyutT8mDTZixeADrzyY2dZOwydY8t2b0wI8aqCCfdnpwEnTNltBv6348Mh5Ykg9AldoSA9aFmpRexsN1y8dCiwyTEJF3M6BThskLJJGNbyWov4HOPBtRlE62qIYqlrPoSF1iaueB7eRH+ecxd0bFj29dVazyKwLLaYDAeVObDaUpwp2MBZh5k5vvc6Ap7e42Eu++v8eRLdTdnMdPerqkhlyfj9SbVbqYxLSkqrylv+vMfGXsWFlopUSabIcaG4ViJsqUvnqQe2iTcdk3EN94y4Pc/74OKQEisEIRGo4RwYz6KzpkS1JNyJbcGrXV2bc7sSpYyyspKRlu6vEjJ3BWZUjEObCaThBDns3tBjmIM7Bl1IqRAY9FKEfiW+emUa6/s8KnHDP2+LRpokApjYrzaEC+I0XtPeRw9Wefu++cR0kdkolooN9Gqv+pzzc6YTbMW33c77UqZbWEh//JAHmfvygyUSWkyyd5iHNili5L9rCw6GzHmRgtkO67JdFyS5I6JrEgU6dyTwIs5dFzy0btbLPZ8t9+1dIPelaDcsWFi9Tl/dRqvkf8q6qRk80KiVLXm+FaLYxvpVurElcyf3fYnG5sp3/ONfR55KeDQWQkiBhQGyUjIyiZS7hrkoBZjd2Epk4r/FtnM7DpU2Vy41zmYrXUyJL+ueYxm8szq2PmqttY54wGbv1f5uxnO8l7RwBdsmZdce6nklit6IGK0dpNtjVFEUYJqjlBejI5HHvGwTn9tjm7kM4zdFfGVZaZm2TZnENbtme6WYTfttVpjUmXjMc+zqlMpJcjk35WVJV8U9dUV5lY54CdAXszInnydFto7Z3GdjwNWCUqm6MwW9P2YMDX8xp+0eejZuuttk9ppb+lmbuT1HdXPJfKVhYkbfILJqzifDKDGM5ila1Hu8V4tn62W0bp2M5M7KqkhkRqVaN58U8QPvr/Lz/6GT5hIl4EykiRzVaQRlc9mM2lZ0bfWtYdR+XwqG9FXxgZZd70FK20WYOZFWo5NrRUXDC7tRNxSxYe7GVzwCllrhnC/Nz//nnY7bgAsrkyxdUHTbozwvQSEZRgGLK0qUt1G6QB97cWwsSFYPil56ahhfeDOSc2zNANLs+Yyb0Uqt5KJr+ro8RqEyZ8nplYVf1Yd7DM+26MIKgVZBu8C8kTaotvbbZttKhKlMvY3193ZjOsiuJQJnp/wlac9Pv1QgzDyoK4L7V2wdxHYMnacx9wVFBdgR4wBvYrwSoxJMYRyDNxgVcboZrxWPDUSaZxUyYGeJJp6I+G9bx5y70ND7ntaOdsQCUISC82QSoA3Jjcztpa5x2Irn43MIsxBnX1OCSr7fvnPMtPgVo5fc5sxdc7oxfuWYo6LtI6trSkrFC+EOSFcg0N/pDmzUqc70AR+jKcNa72Ap14OCKYCmm2N7vYV7Ybhzlt6HFmvsdYPmKqlBJ7bM7LmufFn+YiICwH7fHuPMZabZPNJxh6TJTnYZcWxyPVvsZ+6+7nQ3sUk1BLYWk0AXZXg1hm4fS9mvW+5+5EG+87UnDQRriRW5NpbUJkgZc8Dd3FD50xeKQ3+6gZhrm0da+aW3PgxPqNvvFa8rFGRUiFNijSaONTs3hTzjW/s8+Qen06UpV+N0+MRinwfCEnmjY+V0ZZrjsUld4obUjq3RWUtbSWb51IlZ/Cshjy7ljm4q0B3JdmuAz+vRLTFecxEfHZO8xs+X1HSFKJYMBy5rcyNEcSpZLYdsdIb8qXnDW+62bJlk0Dv2t6h31/jyVe7nF5qMtMwNGtuD5vAc9vq+TrvnsnrUi6cbaz2JpY9epNRdJXFx5MlRWKnAuwqmIVgLLiUxWB2O8bYYwFlnsipuijSdcobUn7v83V+81MtrNDO9x5jb0rtLS/wuScCyvyCUC3+/CrsPVbJxwSoCyY/v5XN5Gl7YzCpxEjniytpiFMPqQw/9J4BB097/OantdsFLwO5QRAKiTL5IIk8b1EBeQFqQTGWT1bfznU4JdCFA7LM/2/CZm5KOWLCirLr3+Zuzphmz5JJ7u5zlnRevGXdXPq8LiWKXf2SEM5pSlLXx7B1PmL7plVO94bYxRT954/VOL3Y5tHHFtjclDSCfO8ax9y+J/C8fDC6KEaj5aWq1RLWauaxBMCF5El1lkblueJx58xebrbkGk8nHROZg1tNyJOJPetVtveM0+Axnh9zcFHy6Qea9Pse1NX57F3UfFdWF8HYXMbzPfDK8i/++xxuSw1QkQO5Fh8fJWyzpoMC6DIHusRIp8Wl1MRxSquZ8J47B3zh4ToHz2RJBWcNkArBMEveu/R5Bm5bgt0WoM7cEsoacZEJZuek5Kl7x94qY2BbIbUC6NJm71caMSpSxUqK6sfqzSbI6p9SQSoglgIZ5x9ZkqSCKJGEsaRZ07z3DR6zGw215gh9wyVNNjWG9M7UiFM3l06QR6zZ2GFP4imJKkCeNxZUmFuVIFBjIB6PmscCNDEO9vI5A3OFxauJHSmqg9lz58SMbbchK7JEyswxyZhc64QwNtz7RJMvP1d3w8Gl5wA+wd65bamEGJdWuZadsElzhIv/HrLHCX0c6JXDmCx7mDsp2VYkTnebUqYYSSokKpUYoYhDzdtuiHjbbUNO/IVHaGQmcKXb3hHNSIA0lW2rhCgM7Dz1o4plKHdUsntFUAAfIUqyt+6a2lxDV4Ge16oUpCcy2VIOAcpvljzRZWVG46nMaaMioZw8SVKX1RRCcXbFp9v32BrN0p6aQV99xbb1Zi38wvLZxt87s5TSH6ak2TDHHNC6OsCyKFmtTrjKBnFWdHPVIak24spsjsVk1rIqV4qRvAWwc6CXZaPjzsm4/lZF+j2tvE6Q0nXqSD/hwad9ful3pkitLp0TqRBCun2ARJmWH2fwavxwYfb+SyQxS2TnF/U8mWLH5IqhLPa3RmBE6agUmlw6b1wYTZIYfD/lJ7+3y76TmgefkhhfZJB1XyA2iuEYaGxFllxAkxdeeEZs+eeVpb62eaAost59kUmPCsHZonTDZq5KGajmPrqllD/uoxlsMZ2rOs8R4sT9G0kq6A0My+uKqU31L2ye2rKu3vbGhX4yOnMo8OwP9vuWMHZa21P5qOH8yPe4IRvFkA+er7SKVXb/cg5HpSH3vPftWA10tTJQqfJ1tXjKHaZ87zXAXZUqeiyh43otT64KfumjUzzyXNNtyiNdOxrSQ0tBXUKQfbfqHMYLH1ndfDEkZ3wYUV7znk/fKhqmK7q+/FlUbnp7XoxTkEFlDqCYlHrVP7MwP5cQaMuTL/qsD+XEUiOLKeJlxaG7Q8UY8Kt3a/ne+UV2JbNW5VcZa4z/WekcVVJOlcxuvorktX35i1zC5QmxXLIlKayuJ6z2FYePL33Pcy+8uk/7aoTWEq1ihlHKYBjQqIvsvXIEWlWWFB00xckflxmiwtwFi1N1TM7X3jmzi0qQWejuQoeXmjv/+YKHqgaWWSls9jr1Uz762Sk+c38TW1MglEOn0Agpx/ot9Xns/dr24NhemOdf8/OLiM4n8jFLrBpojs8vzILMbH6gzZjbWlPWqAiJNIpUaOQw5b1vGfLqYY8PfVgTBcmYHWaNR5jVzog8v55mhXTYCihtjj9XWWgqP+fBpnAJHZllN7OsvGN0qgyeu022lDB52j+T4PlCkteh5yuFMaCyFSt/1saRbqsOvXpCtC6Jsl0vdDfq0JBwdAlePOyxoW3QShN454O7ZNmKNpWvDdjzfHBZLvNjkiUfwSUrEqUiU8riKpP53hMAVyYDcA7yKrhTZKX25L6nAn7nL5qM0mwpErk1mGUthR3T3hdMzVeBDmMafEyuiAmUX1ClZBZhnkWEcZsQe14JrZWVzKasOCtCucKsbGClkYbUaALP8L3v6vPYCz73PefswtwbRwqM1YTGpcOLIpJJ6zBDXH4PKodKZKVk2mbXPtfnhTQxZUazqEGpuimZnJG5oyJEcaO48RSuBNc1P5us2tI5QWnqalOcpLZcd1lMJEKOndPUPIv+8wfaSAnDkaHhWaZbinpN4utSb+fZxDKorIKx9K0nQTA+SndCv44FnOPMPQZuUe7spc7T4VVpcgH2zrZAVDJB6ZhBCD//21McPhVgdblb8pj2lpXVaeK4oGNSfa8K5CIWem1BPjl+YzyjWS2+qurx82tTjMwqDmWVxRUiNQihkZHhkq0x//r7Ozz2LwN6o+zLmFLTpmhGuRbIi7tNCXIrASNQeaNy5rCojIULu9DkDF0GjwXQKS3Bwj2hDDjLAq2ql14C3UjrJtwaQSpTZOrkX76R1poU1IMat11huO0qFyzoq3btRAhFEvVIohUCX2dOhb2g/lMTwK4GiNU7U2LHqgSrEqV8bcdYfXKYegFsYcf7EjM2L5h7zDWp7M6bed5axyQp/NonWzy3t+Y8b5kzd+mceGJclqjzbtgK2CeY271R1lG8Fl+fx+QTzknZAEFZzGRdMdN51YbCsVoRdBrpQJ5KjMiONJMqxnDjFTE/+i0d/tOfTBOlGYuTawhBiiI0uRZ3MqUKcsfMDtTFR8+cEEVmB+bnKK8YlCXQCylCBexV3GTnNG93k6aiCCTFsKE0n6SbkWAUw0gK+kPB0irsungTc7Mtt0X5937w7Xh+k6XTL/DqC5+nP2oxDJ23aG3lok7oZzUhS6rgHnuf8/98Mhgq7cLx7ekmnZNxFk9LL7ya1Bk7ssCylvKlJwI+8skWnaHnPMDM8yZr0nXOSZm1rJbyVnV46QhdYAbhWFgmip/FJKAnWPs8vI8B3VJNAJWsnU2FzSVJNQkknI2YSoW0xtWrJIp2zfAP3zfgmVcC7n1cQSOhQCWAFCRGMiKPKUqQWzLLrrAtneddsLcRRbVlnhSygEhLoBeMbcvzZy4o8SZIxYyPha7OQ8zT/2nqGh/OrYVcddNbufG261jv9NFSGrSGyIRIvcTWDYKzKw2GodsBgDw4mPCqXxPcZEzGa4G+HApZArzK5Ka4M0v9bSbAno773dJZgbLYV90FllImSJ2w96jm//54m4MrvtNcoqK9s4pBL5t1UjgbFwoqq/JkTJpceFrTBR+5rJ2oRWFCd5dOwsSgpQsFndVCLGuKTWVFLlWEdVIltuyaTfiRb+1xdFFz4JTA6qrAEiA90gzkTIA8TwKpQnrZwtLLEwNOpuT6mjLQTCvNDnYSL+J82Td23sez4rKqDIQjgWFoOdOBRMbUGgbPV3iBQK/3Paalx75jDZ58KeBtNyVFHXC+LdwYe1elRrVIvfJBYPxnQTnqdnJ7itIrrzK3GffCpSm0uFLGJXrOS+aUQFcqRcoEP0hY7Ah+/sNtPv2VBtZTZTr+q7C3qnyu850TKhem/O4FfiuMXslJjAF+jLUnwJ6/d35NSlWH54CuBqB5549jcCny11nwKQxJavCkc1U6oeQnfllxdl1AkKExOyy6YPIqyK1x6XibaXJrHE4KRyVP0uQOStU1cfdGkZofB7Q9jxwK0qgCXjoslRaroFQFAu1ZbrvCcNV2Qd2XyKZE79gc4zXs4h3XDu7pn517x8PPuaEpjVq2IZNyGrgEdQ7c87egqNphJfArW1Nkr+UYi+fgLhm+6pyUOtxJEQd2U+rsLFMpZYpUSfba1ZpEGD73aJMvPdXIak1UAexx9i53Da7OG7xgMVXlpMvq961q8SphixK05z2qtShVQFN6xtZkYBqrT3Flr64/MmuCEK6U2bkn7j0pJcaq7D2JsK7iMNCWt98y4t2vH/AHX1BEiXBp24LFXXNLYgUjU4LcZs6JkzQ5yJ2jYjNyyN8rEj+TzpNlggTHz1NJFufv9ZTHNqV0dOaHpwTtpmTXduinG3lqH/e8dYNcXF61aL95Ax//s987Wqv5/+XE6kXvWFw+zoY5N/wn8EzRQCBlCeDzOy7yT2nHanfsxN+vgrzU3JMypWTtwhocG3rjGFwW1YGZU6Jy18TVmyTC8NkH6nzoI21OLnvgK8fcRWDprKWxrOVEReNYAJS7RLgTXQVweaHE+MVi4vzkxvH5GJ94s9qfOVEfnvVF5lWGVjrLzO1lk3nixmY63Mk7IxSpyYgJSxwats8l/MT3d+iMJJ95qEmc5npCFJuzWaNIpCxBntWI2AzkKr/mGWuDLVyUQp4UsYqTM1Vg589F6D1JDhNEUVUIeYJMG8fiWgtmWpY3XLOVmQ3xfzlx6P6jb3/7d7g9etbXA/p9HyUCtm2QzLQS2o2YwEszRyUH5jhr5zrxghfKjn84cqBXdPn49s/mvOCyZPDJyU7jzJ0HlPmz56UcWZZ85M+a7DsYQEsVbkmR2JGykCZFnyVlQF0E11UQVwOfvHz4vOzfJBNVfy5dlAsGlwjcMPrKea24KLKoQhxP30uRgVzYwhsXBbPLYiU1QiGs88bj0HLFJQnf+54eT73kc3Qpu4MLZIkM5IJEisJCtHnAmRVkWeEAr7Jo0WbSxMpx8OZ14gIuwNbjJ+JCAXgpXSofT7hG8yQFpVJOnrNc0lds26IJU9c5rAHuuPUKtG6wfCahe/ZVZtqu/cfZKOUvnbzLbIWR8gtBvrROXMEqi1d3wi1BntmEFf2thCkkyoXAXQaaKUo49tY6ZbUn+JU/aPPA8/WySrAAdilNfMnEGOQy8FFVMF8g+MlPxXlWYfUUvVagWb2AlVT2eVWFtvKcz8Q2DlyFTBEV8FcynVI4FhfGZuB2elwI5W4jYUgHhrfcGPKPP9jl3/22ZC3fIDgXzq6lxjE5gpEoHZTCXcn88ZLJsxvVlKwt80CzqsVz9Fe/+mRtTuXnSbKsnmBrBYsdy5lVuOW2rSxsvoZef1ACfOPGTSwsbLr3oVOf/KWR6P3EuW6Xy7YqlPSJYq8YITZ2YQomKU9s9efJv+tujvNBXs1alrKlAmpRZe/xgNJp8vGEzkhYfuNTLT78yRa9sWxlqbvd7L7SORkrqso/HxdIXGVnuJRbkxi25IOS/hL4njiXFXauZDTHGK1iF1Y3bpWVkW85cxspEMbtbyOtkytpNr9QCDdbhNTS8mJ+8H09zq4ofvUP2gzHHBUykFus1SSIwtezkP15KVEsLrOpsvtDZpq96OKhuA/KEzQZh1A6RNX5hZPnC/fxGcQSoxN2benTbgYcPH38l75v1/vuPX36TAnwDRs2894f/LcDpeSRs0ubOHlO8WPvWeb9dzqvOUlLesqnWrkPIcsPU2mnskYU+nGs3agSiIocyLkGl9bJlDGJYijrT9IM+CW4c0kiZYJUCXiGVw/4/PG9DbqxdrqbSlAplQM4mTQpDjumvVUF0F81e5mDfGLpPR/4Xx3qRbrejrO6rayGDsi2chOUzko+KEhI6cCcgdw5ERIjjAvQjMqYXSKQSKFIYkOrlvDtb+9zz+M+z++XmAkt7oJKgZWOyYFsJmXZnmZztsd53SoHbe5hw3iAmX/P7BzkIzIM2RxCm81nrBRVjdXvWAhTwRDDt79piR9915Aw2Yryzh55+oGfHNzyll8qAQ7wMz/2Hmq1Go888igPPPo4V+30XSBHmtX/lrM08pNvKrsP5JsmGWMxoqxbLkzSvAWJih8uL8Ti43pbinFwV3W3rDC39lJePOzxo784w0sHAqwnS1mSa++MvfPAMh/kM7lTw4WswQvJlLHEjoBqrfJ5cuUvQ+M5KKogP88udPPZpSGTJ6IAtcwymlI4onG2nMXYHPiOlISpsLiwiMhy3aUxv/4T6/zg/yl46WANvAzc+fWzeZJHEecFWHmWpsLmKgssyVP4RaBpCxelemLKIZtZx451/ZaJhcRCXHk/r3wUReGsKx/ef6jBg09NsXPXHbzu5tcThiNgAuCzs7PU63Va7TrXXBzQChYYDLvUghBPuwBOiLy6LG+ClSRGFbsPiDRbBo2rbhNGZJFzeQXHEz4lwMUFAkvnooyDe1x3Jxm4DT0r+a+favL8noBUTSRzsnoTkGgx0cwgzndOclaenDt43liIMbCX3++rlJ+M4/o1lt48iznJ6uPMfoGacevmdhtTjrq2mS+eCvcPOPZ2UkoIhTCWFIMWlhuvDPlH7+nzk//Jo5cIB/I8n54xtPswJZM7+s1kVW4jkt/sletOmaKvQiKvuTEWEuPAHWXsPDIQGUFqs+28swBcCIESgv+nvS8Nl+Moz32rqrfZzyqdI+kcSUerJS+yLduysS1jMIYAYQnrhcvlJmFNCJBcCIQkQBICJk9YEpaEXGITB4jBEGMHgzG2Ae8WGGMkW9a+WOuRzj5bd1fV/VFV3dU9I9kGg4Dcep555sxyZnq63/76klaefAAAOxBJREFU/bb3KzCg1yNozVbw0x0xlq50Ua31oNlsJt+bAJxSD4wFO4tBeVdvrTQWRWoUcqkQolxogrIIRl5ASgoeM7RCB2HkIoodxMQB4CaRMCmoquWx+HiatpcWLZEdoM7SEwvcTGhnkoMSXSXocjQEcPU3Srj+9hLaBszUtt6qco4SKyxIu1tvO/bdYbFJCuxsMock4O5E9hPRk7z1TstT8zxc0+EOi25TFgXulKoQabi4UHRFKtlrIqlyQKGtOZfwiMTLLm9g6z4HV99QRj2C2mEJVTFg6Q5yEyNPmpORUhZdZJj0bBr4G/plLHdbAE1O0OAEoRCQUaQ6GjgHJNf4ooiph0bgoeYCDonhuCX4QXVXEBR2ci6SzUoAPjoyjC0P3XLr8iXFL1VY9c97/P2oluew/2gd2w5IUEaSRtE4lhgdDHH60jYqrod6K1C/UdKkAkwQJeOVXpPsSErqTBLSJSx4AnBTA26dindYjLkQuPrmEv728xWMT7lK84LYjqW5kSSpw4gqDsp26OTSwVZExRycrin7nNXOvEZODm6DarvQKnku8zCVT0hFKE08HJmISqqOZUdZCKipWyEEargq0xENqU4AOIi5xPy+GO/73RlAAtd8s4y5SO8wA3Kbm58A5CbSk9akkISX6+rabAUl1G/gUlnsOicIeQy0WgjcBtatbmJ0MEQciyQcQ5iDzfur2HesBm8COH1VL+ZawZdu+Obdt77yd57XCXAAKBYoKAu+NdjTfOHxyeZZ//Vt4PYf9ePB7YGqFYYaAcYjgbHhFp61vo63vqSJhX26uIc7iKxKs4z9yoE7AVQHuGUO3Ca5YyVyDAf3JW68o4gPf76CIwbcNM+7GTIZSyI7BOwzMW/gBLFvkgFv3pFUT5EnMthPaM1t3UKbqgB5y22JZAoJQaGttaYmOrJFZBoTJ0RbbYIkfJiAXUqlZdiWGOrheN/vzWJiluFLNzMg4BlnM/n7ZJYcSkI5sdQgquZbP9GRJ9DviQRBzAXQamLJwBTe+tIpPPvcEEuHBMKIqgIzqOPx4PYWvvXDOu7Z3I/jDfIT3w++1Y5amc9l9oNPfupaDIz27N92IDrvutvF2TfdU8X+IzVwFNHiAVpxAc04QFsEODxRwgOPlnDgOHD+mgbKgYMw8hDFalaMuWwmmU2Le+ezltkyWJ4Dd9aZTJI6gcDOQw4+cnUVD20NAN/EuO1SWFfXehO4VJVcuKYVjRhF2s42tHyjg5rJnpsZlHmcjmoh5jWSjn7JjEHU/2frx2TLkm3HliTVi5k+UKupO63RSK9CmXICfWyTZB2xqKJ9wkKH9YjiDNWqQCGQuO+nLian9E6wgZw4IerejC5JWt9MmBDW91jfl/Fb9D2XQFsQhGGExX0T+NAbJvD6KzkGaj6kKIDSAJQGILIAEZcw1Btg3ZjEaUskajX35snJrZ/+vde9JQPwjAUHgHq4GpRSEL4Dp82bRRgTTNQlZtoUbQFIySDAICQQxh5uvMdHpQD83RtbiDhDzBl4TJPLqrkM2lGFDO/OJHoUuEke3MSOmsRgnsCuQw7+8jM1fO/BAAhoarUTcBvurWLeRgYiPx2NkCz/7shYWgDqWlkIW+jnBAfSAly3KIn5T5nzOrOxYXv2TRoeNDQlq6eSLcoiUDM3iaA6SUSV3oipKRKKMXPt/REAvBXjmee08FdvncFffKaK3YehnE5zqbF5ua6R5SAIza/RFAr2vshZbNunIRLwpYRPJSIW4z2vmcFvne9jcqaAMHYgTKhSKg2URjPA5GyAepOir1rEyrFl2f13IoC/6X88B5Sx8M47mti1awcOHBX4yW6OKFaqZgYM0L+t3vZw8Fgv6s0JzDUKiCJlvZGp80biOiVWJO9c6ng3IVIXU2lLTnhab0I5HFdg77iD93+2iuu/W0RIdFc88pybdTqWJNvI0E27heTAngCX5A6MjeTsn92X/WK3ehSTNM5xcXVvlczqx+ZBNnRoZzbTRggq1NVUkDT5o+gLTamKTgaRNIIN35F4+bOa4AL4i0/XsG/cRFZgRVTMYwcSDJF+yqg9EJq2n5lKRLM/7LZGQKUtGJOAFJjfW8H4VAHNlpPiyUS5AMy1KB7Z7WP3AWDJ0sV41fnPD+OYPzHAFy3oB3NL7169aui0srtn48b1j2PPdUUcmS6jVhDpRDHTTU8Jhoo13PtwDX1VrmdPph03lGoLblEVO0SogC7Sm25gUEkf24KrNPy+cYb3fKqKr99WREh1wygxFtxBNuaNtA2NWGWw6Ix5p3Fuy9nMWZr07+ylt8Ns/wwrj+tMRhP5tH32OZPBzDZGyJR/Z3i4ArnabMPBk5RSmnGWqsbDRYxXXdGEw4D3/mMN+455SM6BxHqTJJwoQRFpgFOS6ogbkNsRKFMwZdQWHAr0Mo41Cws4dqyIHVRNymPJ6EcJ14lRKUQ4OjWDa28VWDo8gLM3jHx/YHDhu49P1p8Y4I5Xxre/c9ss0LvNcdjF2w6E7NH9VZRciaKnlD09plSvAo+g6FP0V1wcOc5AEKFcjOELDs81gE5DNnapbVoaqy231amTRktSWkIZx6FJivd9poqvf7eI0AizkDywU2qSOJY4kcaJuZLoHU5TYCfbm4uUZKhnh3GWafLnqeA8B14D8q7IN85akppPM5xCYVODXdMVK5JCLKtOLBEhY9UhVbcNBFXhQ0jEYHDA8bJnNRFzgj/9xxoOT+ofSFNgq/gd0ZtJVZJGqnMh0Ti3jH7iI2ifyHOUgkc5IBjscTA+6QFEohRwBJ6A53J4rkDgE7iOwMrREEtHG3Dh8FUjhW0/uv+22fUbnv3EAAdU2rfdnnzroQl+3g9+XF7ncQ/9FYlSgESr0HMJAo+iVGAoFdQMgFaoNFTsZgVTAJ8AIAdyalvwLs6lSctzF/i/N5Vx/XdKOXB3uylqki2mkh113p0dOzILZjuCYlnpE/FrYvGZp4jvbDazI6kjM9ET5K14Yr3t8SPZ+hTbkqdcXNEUIXVUBVKHulkH5XLA8fLnNLBtj4Orrq7oyAmxeDjSyApRnD8SWivGkr9IGIo2LIyks0Y9h8B31ZV3rinhzKhpfwVPwHMpfE8gilXWfKCniivOaeF4M/7p7Nz0W3uqPV33bVeA/9ZzL8efXfVlHvN18sjhH2FsMELganBrtVnPofA9imLA4Psq9i11sD4RbDeRFHPW2p48kTr5IFJLbltuojOVjAOuxK33FnDdrUW0kzBgLlOZpOVJSk1yiZwsB0cal+8CakNj8t6+feBtQGfeYK2TAd02zhmwW691NEKYMgmYpI9MLHdqtWFZbVNSawBPQaTQNEVRlORe1/MrPq4+VEqW8CCPc7zyigZ+uNXBd+4tKoNt8hzGkusrgKpbQXJjditebv+YqJRRMBZC6dHXWypYEccUnkvQDinaIUUrZJhrOFgyr4znn7FUMjrBB8de9uQBDgBv/18b0Wy1rvtUY/fKrduOlPoqDJ6rZNwYVaJAvkcR+BSeg0T91bZI9o8xFrLTsbQttk7y6NJX5nJQB/ivuwt49z/24NHdXjYc2KXWxERNXKIuj7b1JqmByVQJniiDmQA043RmQiidCR5kT4iTLtn9uZSekDQGblLzyFl4SdImgyR7CZ2ttAuySIanp9Zb6HtFVVQiRmqLzKzfoYzB6WMRPvaOabyLAjffXVQba7qBkkynoisCVFlxKFF9JxfXt3cSST5CZVXDWKDVVpcGLgjciGgBfJqMMInoIpDKy0EcD8AbnxrA5w8tkF/86k3/sGLZyrceOjBeGujz4LK0sotSZc19F/AcmeinUJJubOq05W+GkhhBH66eM3xbO5TUkbjxrgL+7NM1PLrHBvcJqAlU8b9LdUKHZNPwafay00pTXcfZac1JHtNdgZwB85PhJ7LzfUbcNZPcQQ4UmURP3qAYKBrujYwVJ4To4quc82nALrptZPo3AYA2cNpojKv+cAaUAP91Z1HtKKZ/eNJmryLisSSIJOBKq0pQZ1/tz09ORAHEQs3CDCOuQquSIqT6PULCdVQ29pz1K6b9oPQp5gTdTMXJAQ4A569bg3p9FnxmMwK3gTBimJylaLTUb/IcwHUkXFePyraUqey+zSQsmJeFIHYSx5J6cGIQR+LGuxW4t+zyc+C2QW7+VgkUM404GTtiUxJbVi4PZGTBbeM0seik8z6LcJuOkScN9G7OZca3zPFtGEtupfCFttqJVSc2J5cWJ1cUxcSVCSGpAJDSXEsqEJO8ukg3SAJACJy+NMLf/sEMJIBv3l1U/88MRUl3kJQMkSSIJNEgl8ls+qxCgBlfrspOojjVnzRGptnimJmL0QolZpoVPOPyldP1mcNfXjiy9IS7l+Ikq7d/UXtev3jz5RcF9WWLDmDR0BQkQoSRim0nYpwMKjTIbB3BnBOZ6Zjvnqk0/ZRwJG6+r4D3fqqGLbt9FSDtBm7qJuAmGtweUWdt59Ao2UFHuhZV5YB+IsAbBp6vHMxiOvePWVxn7rtiP5e2h0n2IDvLMpMMyjxHrOdJUqdvd+Jnk0I0O65Qa4+raAsDl46esswQtxlOXxLhqj+cwfMubAA8BoS+SeteKqm1SOhqQQlwqVRhzfz55F5Aj+OWega9QBwrq+27BJQK7Dke4ZEjDRzlg/VjM+TNC4bmt0+G4ZNacJccEb1DizfN1J83871v7y7VatO4e4uP5fMJSgUXLpPwXAnXVR34rmMpv7K0Cz6pJ8lpmdgJHKP+Kh2JW+4L8K5P1vDonkCFQp4EuA3vtoV7Osb+odN6K04uO4GuoyI24E10JFsSmyqxJny9C8a7gTv/XKZEVuZeQ6cVR8fzWZALoXVDdP+k0LUqyg/UdEUoySiiW91g8haCZn4EtasJzV4JgTWLI/zdH81AguDW+wrg9uv6JkEQUYpQEjhSjQoXBuhS6jHlErGQYJyAxRKRZgOMSXgSKPjA6ctamIxmcEFPEa96xWUzfYNLNu06NCVwknVSCy6dhaBO3zHfFS8795xzo7t+4gGxEuX0HMD3pLq5El4CbmusiBHIZEYl1gK5Ln1NG4YjSCZxx48C/PEnevDoXttym9EiprY7C26G7tQkA+q8M2kB94T0JEdJciwk65A+lbjgSQDfLYqSoQfWa7aUG6yold0JJAWQT91ntVUsUU9pW+/sVGUhWDrVTTB97yAOGU4bjfDxd0zjsvVNsLwll6rMlUuJtgBCbcljre1tbrEeTRJzIIyBMALCSCAM1Vz6mEs4zMUFqzhGl5wbTc6Ily0crBwbG5l30n17UgveU2F4YPNu9PYsOTAn27vicM+qkcE2eqsM1ZJAqSA0wAVcV8BjHK4j0uxTZrRIF0ljc685962bArzjYz3YtjdHS7pyb8XLmKElVkgw0yGfA/oJIyY5oGce5wCdsdIZiqLLjTInyolj4l2TOfnniCVjbBzLJB7eJdtpR1gIsTKdVrtbXszTKGIKRSFFojwvspbcPsM1XTLUacWiCJ/6kym8/ePAbQ9AWfLk/QQARUQY2tqKMyHBuM52CgnKSUJpzVJtbKoG3JkBdj7uYu3yRTh3w/JdffPnHWjXH0NQXn1SgJ/UgqvtZ3jsx/fv7S/wN7z8yjVYMQqMzOcY6IlRK8coFyIEXgzP4TqdaoE7GcaaHQRlSxx7fgTiCtz2Iw3u/T6kn6sItC245VA6BPCQWm67+i+jJ0hObJ3z9CQFNung5d1AnvUz9f904SBPNrCChJ6QhFsDthNq6jlsgFmvZ6iKse5IrXvOiptR4Wkxl2XJZdaSm8nKyY27iIUDLhyItoMVizg+8c4pPHN9AzSOVaOCjPQthhQCbQ60OEEoTGksEHOiLThBpC14K5RotIHphsTxmRgHjkbYsjPETHwWjhwrvOGeu7fs9dwnhO/JLTgAXHD6KNqtBjy/cGj7Vnrno85Dl/SVJuC5LsKIgFsd946pGXCyk87sKQtmdLbDIvhBiP2TwL0PF/CBz9WwbV8A6THY83KyFlzBKI2WKGvt5EBtSkiz1lqraiFHU/R9JqmT4dhI3pieACRjnDrKT8yJ9CRQnYQGDbiNgbReTyTREjDnxPGBDv5tv67CgNL6nLQpQlV4aTkqk4kUVFlyPXpQEgEplZNnIjeSUk0/oKw5JWAhwcqRGP/wx9N4/79I3P+TIvYdh6pT1ovDRVPX56uSYmgLbnaz2raIAzKU4AJoxRSEhFi9JED//MV3rjnzwkP1ehPULz7h/mVP+A4Af/M3H8JzX/CciUiUZ5vh3Cui5k8wPNhGqaDTAlLVMjh6IJTrqOlmrn1jKrbtODFcFiEohNhxiOBv/6WKT15Xw77xANJ1Nbj1jVqW3Mg9WNESY7nNLQkJ0pSDJ8C366+Tmm7ZcSKk77Pqtu3nCPTgUusxMaNHSBLSSv+2x1Lbr6cnWAdt6hbtATpqw5PPBNLacOvKRKHmUGavWNr2W59jncPWCZoSNKIfS5h7klIUE/smKiJDBMFgL8dl57YwNBRj604HE5MkjZMTCqFHpyQ5Cg1s28hwAdTbFEfqFLNxhFJlDq96wTpccObi/3Pw4I67Fixa8WSg+8QW3KyRBStRrfZtarenb7j+/oMvnrrzEbztJVMoBv2oNz1tsVIRetfheoSftthODMcJU3AfBj74uSq+9t0yWtJVk8666Habo2ID2SHSylKmXDvdYVYKHqn1zlCLHMfOJqc66YlpP8u/337O/uynsrLOYxpJyWQrtRZedqyJfi/pwr/1/5iYuHJSZYabS52Sp1qsRySWGzCZe0qhprjpK6MZ422supRqxDuD0DVH6oo+ryfCa5/bgO9JfPCzvdh5EECQ7pgIDuqcJldVpjutHIkkbzTblghKc3jzC49h7coVGB457YZ5887aVGxMPOl9+6QBvmjhIL5zz+69y5Zc8PbDk1vZ9l2NF370uglcsKyEsWEf5WIMz+XagnO4TgzXVdbaNeB2IgR+iJ2HCD7wuSq+dlsZLeppcR5jsdMICaCKppJO+HxVILKVgXZ14Ini3IaiGGR28Okc5cgC30aztXJ0hphLP7q890Qgt6Mluf95MvUqJmOZBbrMfqap9ktqWPQYP4vrC0lBIXTmU2opZKlFNE3NkQAxIAdJgW5HapoUrhvh5c9sAoLgA/9cw67DADztP0igDQdETcZURVdUZcVdBpQCgnWrOc5aXcf6Ff0YWTJ0U//SdW8Htu/rLa590gB/YpZuredctBRH92/e987XXbj5A787ANF28OjuAo5Pu+BccTTX5fDcSN2cEK4bwXVCuE4IP2hjzzGC93+uhutvq6JFfcD1oKacmZuy3JRQeBQoUKBIJXwi4THTcqbpSMeokaxoTzeQZ0oIkL6WvYR3Wng7bJJ5vRvf7uKcdgW1Aas80eu5xE0CXtt57PJ5QDa6kpwEtiNrdwgZBSnbwbScUK15wwUF59rZ5AycO6qDizPE3EEcu4hjB5x7iLiLMPLgCAcvv7yJD75pEksGm0ArBHgLEG1IHqHFBWa4ajRucxU6ZBTorTCsHgmAOMD1d5+G6fiKzY9s3r6PkCcPbuApWHCz1q4YRqV3wVVfOfjTsVp57pVVLwRjEq7DUfAiFPw2fK8Nz4ngOJGmJxEEiXHvZgef/c8KvnpbFSF1AcdwbW29CQUlqn/SJap5JANiyIwVznBYWHXdNnBNq0xXkGetewJf2/rmrHn6MH1Aur6eX9lXTDtfN8BnSktJ9nXk35MAMzXDnQ6n/hzLYSVJmBEphSHW5UOYjLsy8YbXpxMalL6hEtWkoFLoOZkEQnIwZjTLKTw3xMue1YIUU/jM18v48bYS2rEAmICUAm3hYkqqTjCHUpR9RZMmZynWzB/G4hXzritU110VTh98qnB9ck6mvT581cfQv+K8dosN3Vzl4xsHquHoyLwWhgfm0FebRbVYRzFowvfbcJiy4CGJcO23CnjTVf340WMlRNQDHB+gPsB8gLmglMKlBAHTFpuqULitH+jQnCNIU+DnlafyBVVZB9J6n+W4qcZf0vHepFHY+juJAFDTGEwSZ7Pb3zTh9dnJyN3oU7fSXZL7//Q35J1W8zib3LK/J/07JzxvhX9SB9L4Beqx6mpXNARSp/H188YBVe+n+mRRJQAMBGvGQvzOZU1MzABbtzNEXKhIDI8huUBbAC2hCsAcIuG7DMXSwF2vfOnil88e//Hc2IqLnjLAn7IFB4A/eu0LsHP7TxvyjOeGex75CmrF43D8WWzaFiMMI1SKMVaOhRgZjBFK4As3lfDnn6thqh4AjgewlI4QSuEQAp8AHpW6EjDXdYOsxU2sMjqtZzfnsbOepLP7vLOOJGftkXU08w6mbezz1KTD6exSSdixbC5NcsVYNlXRUEycR7shImfBO605ycylNC9K3Zmk91TyfOqvqP0vTEGdoKBEieyrTDVRw7CooToqwuIwgv5SiI+8eRoOlfjCjWWEPMKiQY4VSznKRYrZto+te6p4fNrBvMEazrvwyvDBR0jj3LPP+lmg+rMBHAAWLFwKSPFAka248NNf2l3YcaiCOx4sYmqKouA1cNEZE3jP66exZYeLv/xcD6bqPuD6Gtg+CGNglMIjQGAB26HZhoTEKZQp2E5UoNTpA8qO123AkRN9xgn4dzeKk0d19v2k88tzW5WJd1sgTOPh6S+2AW/+NwWtel/Kw4n1+TJDiRL2k3FA088gFj83G589JzXgVeG5PlYUTApQQROgCya0QGucJp1AUCuG+Os3TkNIiS07Xfzp6+awYS0QsALGJ2N898EQBybLCKrPbC4bW/oAo0/JVcysnxnghWIZUk68rzh4hdxz5Ng7H968O1jW52AiAHaPA5MzM9h3gOH/fqOIiRkXCLyEklDG4FGCgAK+nijsmMnCZsoCkJkF3xUQSC1anitbmMt+Rs4p7AgF2q8TJEkdkkd85vuy09W6fU+3ZUCX3Hd5PZPoQQpeE+brqA/PhArN59jba50hRFq7LiHi6jQxDxOaAiv2bf1ES+ddEKqL6/T4FCEgWOq4OhrgBBJ95TZ+/7cb+Nh1ZfRVJRyUsX3fMKbnCjhzcQvPPG+sVRrZ+ImQkz8f6q38rDB96hzcXh/84FVy8fKNdw71B2zlAn7hkoE6k0JiXt8sPvi7k7j8vCZ+vMPBI7tL4LQAuAEc5qDACIpMosBUZMRjmp4wwGUSLlUjVBJRHpYma1JApo0IGRphgSov/9ARPjRJniTZQ9LXLc6txHZIlpNb93aix4j/2EmeLPfOc+gTRG/y7wESHo/c/3VXw9WKrjT/fPexj9mokJXMSVL8KnXPhZnmRi2pbAqeFG9lS3DN/0rrUkeJhCQc37nfxyf+ox8P7y1jyRDDoaM13PNwAZyOhv2DS69y+NG/Hll8VvzzYPRntuBmrRwVoSCjHwmWT4WzU7v/aqJF6Pq+ApbN70XgcYzOk3CZi5AF8JiTAluH+xwjhEmzc3KMc5VaEivUJZFMGOsqkG5ZxEwwImdNbXaRiX+fgM/nqYp9MtkfmHD1J+LZZttTmpuhCpmEDrHoR8ZaZ5M/iXXXta0yd3VLSHcHTZMd+8f0fiba74KmEZrkv41WSdrMwhlVI7eJABdK/ppZlYmUCEgaY/8RD41WFdv3FXD7piYGak1sedwT1cH+v2rz4Y89uHUyxM+5fm6AP+uKl2DnI19pBv7IDY8fFB+sBpsAPoijkxL9PbMIOYFkBQSOg6orUaBqcpuiJRrYNJ9OzwrC2PofqqEZSibROnoJyLvx6wx4ss+bgQwZZzWxaCnC846mTVPMe23AZ5JFXfZbhhNbVCWhInlOnnE6Dd/OVhOqKIeV3LED49ZKdFCIgbHlwJtKsVz/poqBp3TDbGPyv0ZzUkgwoWbLc0rBhADnFIwJHUOnWmVChRK9gGJBlYLxMqbn5nD5xevk/PlLb3jsQKP5ule85OeF588PcAAg3mr0DA5vH5/peeuZp5c+e+zQFuq7MbbuI7jjwR4Q5mOwoCy3m9P+M+BmyShBDXQLJCm41RhnbkCeRAOs42hFG+xhSd033AKjhcgOsJsnbcue3OwhsJ2WO+OI5lYe5Da48ydk6nuQjAXPFGAlLqW1P/Lfbav9QlpURebeqiMpulacc5PksVUT1DvtKR2USnAqwSjRnV3KYlPOQAkDi4XSkifAxnV1XPeDJpoNHzN1his2XCqWjq166/z5K7ZPTR15OqD59AB8bPmZePinj4VL1l38+dbM48WR3uLHGd2Fr98VYNeRHgyVCWqBUPqN1kpGhtjCl5YlN2+3AR5xZbmNJU1EZSw82NRDnsh65487Ovlw5nmkQM9nKbMnhHHZyEm/L4GRzLCSBOhCpmOqbU2UjIWX1olsd0Skv/6kIScb3KYO25xwavSO1FdKBeqYU0Qx1RWkSKpIk/IIq11RMNVJL6gATc543RhOBaLYwcIB4EXPmMMXbg4wHS7E+KTzJy9dd/7nx4/s5GvXnPZ0QPPpATgAnHnGKsxNH+ZnnPuCnWKuNvulGx+vfOUOYF7gYKiqun1Mt0asdxrV/NthxooDjKWJFhsfQqpuDwJVIER4Kpwei9S7V9w9PVgkD4wcBLpQ6BQAQIZrZ6sC1ZP2fSb8+AT47sKWsqE7dNIUo2SVFkxlBXXy4jq2mL79e/NWO5WztuZQSqVnQqhK4HBBEcYUYUQRc53Ct34rNaUTui+XCaLLpVPNnJhThBFDFBO4boCBHhcvueg45toEq1dfOvvq3z53577Hj/DFI8ufLlg+fQAHAMctwC/svgmldX+wcAn/xNmL7+oTrTp6qy4kJGbmOKbmhBpKaoHbZYDDiCVfnJarmgOjAK4sd8zVAYsFQaiL5c3lnhDASeK5qRZNvs/RRnQG5LkojXkyD+DOqAexrKKtXpj/BgvUxsGEBWrYnNw6OXMOpZ3ssePfiUWX3ax3J+/OTtlQHT1q20yxFUUINYjMiO7EnCSUyIRzE2MlVIuik3y/AJj6O4oZJmc8TM0pccPxSQfzB/vwuhdfMuH1nPWOTVuP3XTOyoGnE5JPL8CDYg0AcOz4zLWXbHi2Q+Lgqp/+5J7Bij8DxiQe2i6w+yjRcl2Kc7sMcB2SAJ3pVDhL0uMkuXwrj1yiFUnUQ4Kplmpk5VLqkksVlZE6P090c6sBujnGGe6jVe8zNNyA2aIsyAEZ6JJ6z6Z2EmjnrxTGOctkrUgW4NlGBsuSI+XbtqybSaXnMjQdKwG2rVFDc/2yOoEjpdIBlJJieo6i3nTQbGtn0/ocagULYkbgOqriEFAnkMMAxxXwvTa27qX48WPqSrxqrA9r1l0yvu6cC/80jqJrz1yx7GkF99MOcLMG+quYm529+rKNz6DDvQc+fPvddw86hOPstS3cua2MsBGgvyhAIZMGZgNyRlVK10h52bUfAEGJSzTDCHNxiMmQoh0zUEZBCIVLlVS4D80LpT0kNRs27Hrkc2BMLDlSi979ljqX+Xh3nrDnkzoJxtPcSieYTRgQUE3ELEdXkFrtE/2+9ARONWvSAQS680rfGykP1xGIYiDiERrtIsYnHUQxSSgJ1ZSSaaeSUXU8hdCGhSiRHkYlqqU2Gu053L+zipKv5svTyjnjq9de8N56I766UvnZkzm/dIADQLlSweTj13x+wXzB908s/HsSH+x7zZV1LF4ocd9PCugtqgSOUhVVKlkOI3qHaSvOaPKcyyhcBygEwIrFIZ576XEcmWngi9+uYNehClDwwKULoTNlSsnKUJT0Mt71wNu3HHiNFe8QvyfdOnjS92fAfqKdlGMR3bK0Wd6tY9NaDsJEU2RHLNyOLOknbCcy2c5Uu8ZuK3SdCOViG3uOcFz7rTIOTnooEgmXcvie0gl0mTZIjpLQVv6TusLGXDVJKIALgEjUyi1s3tfCj3fU8OqLBdaftWBi04HCu6+6+jvXfPAPXvyLguEvDuAA0Lvo9bj6muv+bcPpy8I1I+KfKD9accARCwVAz1GCngVf7TTG0hEfRv/QYeo13wOKvkRPRWB0SGLVEopSsYmRvib++toY+49XIV0gJB4cQuAInUSSqWXrQDjpctMvnMhSG5pCSbeMZNreZT7DfE8e5Jnojl5GSIqYuD+Us2d6KhOwE5vG5CZDwGIoFke3f3NmyjRNJ2swyuE5EQpBEweOxfi7L9XwxVuHEXglrF0gsHgwRLXMEPgMvsfgOQQO10ECEyCgBBGViZ/kOZrqsBgcwFyd4NHDq2bPXrfkbZefJv/j4me++BcJwV8swAHgFVceEYWCe93MTG/8wy2n/dve8X0+JQSuAxQDinKRoRgwOA7NRB8Yo1rFFvA8oOBLlAsC5UIMQgQmZ3y4ThmvvnIKe45N4ZNfdlCPGSRlaBMGjyipMJFvzk2Pc0cyJm/B0Y2emFS85R/keXiSrrd+Tx6AJrFjcEgtHCYtY7Csd8ZK66ZhIKFfQkAryKbAt53Pzt9pcXCjZcNieF6IUET4928X8e/fHoDwi+irKM5cbwlQprPIQoK7FJ6g4I7qlSWx+b1KgZgLVXJRK6kEz7xqjBdtXNSK6ODv3/Go/Foczp1UtOfXAuCl4T/CkePHeGmgcM+C5YdnX3DJl7Hl0cf8mYke9JQYeqsuSgEFoVpCIFaHgyXiQkDgSxR9iYIv4Hsq5CglQavtolT08NrLW7j1vgY2bfMB4YIThoiqEKLtuHUgXHYBNtJ7u4480zBMO2tM0uey/ZzJd8GcLinIDbgJDEA1wJHmY0zW1mxXhrIkkxyQdTj1ByeViNLeDLtpRHNwLannMA7XifDTHQRfvK2KFgKUPQoKiVgA7UjCbevx65bTIkEhdZIjjpVIDyUErZCAgGGgh+G2H0kUK+taz1w//No7ty68YenAOP/D33v9Lxp+v3iAA0Cx3A/fw6GlS8fOCIL+S/pqY9cUxERxfr+Lef0UlSKHEATjkwwz3FhwpX3ouRKBK+F7Cty+q2ZmEhiQO1i2QGLBQAg8FgOCA1Qg1sLuXcODsA+45UjmrbG22DYPt6mJ+ZtRq6khmXhmea3W90sTQjGgM1YXajvNCWVat+wyBWLLP0hYssk5R9RgOv/bkyuTOkuyar88ma5x4JiLxw4EIL6jpfBV9rgdS7iR4tqUiuTEVlRH7cNGS2BiOgYXEuUiQztk8D0XZ6xZ0ShX+17/T//5pq+/9LJ/l5c9+3W/DOj9cgBeUboY/B1/9S+HP/624a9+7usVJ24c/ayPg7WF82fQX2tgzxEHOx7vQbOlODnTNMY34HaFkodzNMATh4uCUYJXXN7CPQ9HGG9ySF1qZAqxukUWMpESi393VCvmnMwU2Fo2zoCb5pxN85FWxCRrXfW9BjzRcTcBteEkP1lYQk9G01WCVuKHwjqRc6FERS5IJxdH/uolQZnA8TmJ628PlDa4/iFSamm1WKm+hhHUoDBCdJO5cjILPuDQGHvH69hzmKGnSNFsuxgaGp2ux0NvOf+FF3x19oFPoLLonb8M2AH4JQHcrE/85RuwftkXcck5A18+Pt3rDtZ6P/aTRzf1P7p5Dv95bxFRvY3TFjF4rgdClTSz5yppOGXBVeiKUaH0PjSCJChWjsQouQLjDZFGF5LKupyTZf+dpyaJ5bbBbVtoq2yWpOA2NCbftZ9f+Rg3kDqORPc+Sv05yXgQfQIIobdJQM/ZkV24ufkO61dbJ5TZrNQXtsKGVKARAdv3u0DSgmayxapMoh2Z1j6lQ+nEBJ6QulFYYM2ZdWw4+zC+8r0qJJuHpQvPOT60oPLH+46SL9/02U2/VHADv2SAA8BrX/MafaAP/RvAnAf3zPvIroP3Dg5U9uFQXRXiUJIV9wx8gcDj8F2eKNhSkrXLqtItfSxz9/llZybTxyTHwUnGcqf14wbU1s3i6+bz1O/UNEKk2yKM5YYFcmP1KVGlBgJQAWdjuQEoIVhdqwIV59dTjilIzqG2BlHZ+yLxQZLuycyJSKzfYK4+QqrRNJEAaGz03U3cW8CPKYRQGvGECBw95mDj6YtwwUWXjKN66Xsg439bNdr3y4YagFMA8HRHDqM+1/zXFz3nWeSC1c6Hv/iNrw9OHIsReB6KBYJiIFHwBIo+R8GPUQyU/qHrcDAiEpF9c8SSESoZhyp7Ge6oL4EF9Fy4L20UsC030Qc2C+6k1NdMITbfZ/iz7lBP6YOqp7HDl3YNiDQerqYY9rZyCRCtWSK0ZZeCQFIzt17X0ZtuHyDjhyR7TGbiosn3mIiM/V6hLXgYmz2qXlHVoIo2Bi2KuSYwPUdwaHoAC5c8Z3zpsovfK4F/9YPqqYLZqQM4AJTKBUg59fmFY+vj0WXOx88Yv7u3vziLRYMchQCgVKAYxCgXQxQDNcbbXFYNzzTtV7MNilikvEIdvqyVz4MddhQE+a52O2qSdvKk8mlpttXczHvtEKSQ2b+N4yeEyFhyE2I0ylFAGgUxlYnGkptx8MbxzFjujrCi3hNWeasNfPWa2T4V7qsUhbbw6SkgJRByZcXbsaoHIlBp+CjmaDQlGHMxumgJ/ufLzpmM/PPedWiSf2Hx8BPrB/4i1ykFOAAQ0oNWK772hc86b8Ln48uG+8OP7tp1p3t4oohFgxTVUhvz+2dRKqhR4bNzBUQxQ0xVy5SJsX3te0UcnXNU+AUkY6WBHO/Ud91lGojFvYH8HHqm+w3z4KbWvU1/pEiBzbkCCucqlCaECetJ/b1aFg22Y2zimQTcbK8AOFG6g2kc3FKpSuL/2Vk+BuhmpREX9TznFP1lgpdc1sL3HlYfxIgex0iBNgeON4GIS1R8ihEIlAsEAzWOY7MtLFhySeSXC+/unXfJTt8vfJOwUw6vUw9wAAgCR0we3XbTq175fG/7Yw839o3zzxx/fBtZOTJLh+dN44GtDdx4r48LVkuct9wFFx7KxRYCLwSjAlN1gi17PISx0jgkhCZp+nyqPBEI6nAwbWBb3NumKpSAEqrLCNIMHs0B3R45LaEil4CK8wupsnxRLMB5yqcIFLhZzhKrWH16wprxN9QKEwptxZPaeAFImnU+TYNCUrdi9oZWrxKCgnMHBY9h7eII1XKI2UjCIRIFV6ISSEQC2Hj+JC5YPYtv3FvCD7f0oVoguHCkJF501lpZ7l3xh4ODa6/ZvO1QuH7dylMNKwC/IgAHgN55K3HvDzeHxcL8a6XDv3fx+fzly4a2/s2mbQ38w38O4PCRIiaOSrTrAVaMqKREpUjgBzFuuN3FY7uLloiQkqDoSLRYltUGd3aWj9WATFPrTU28W4cG7eYMxzRGs7S/1G6QFhJgERDFBJwLtNocYSysjhj9uVpvnjHTDS5BCNXlxWqbzN+CqEiKsKy4scaGsgiLqpiun/TyYMffVb13zB2EsYfVS1p40YY5XPvdXtAyUHAl+isEY4scXHF+BcsWEiweaOHvmsdB6Gko1Bb85UXnjn3VKczbH4X7w97lT01e7Re5fmUADgAXrj8dAJq7tnxl29I1z/7I9Te2vR882ve+4fIxtmZ+hH1HgaMTFEN9FAM9FIWA4/Axjuu/X8ah2SqIXwBjSmuFWRYUyIYCaYZ+2E7miSsGDdgTcOesuMOkGsSli44cfW+q7owV3X+EY3KWq6SOJePMKIFgqnYmlYwkSaSDWxRK6BMhmUxG1OM0akISimJG9iUW3KjNWg0PKp/AEMVAoxWgvyTwO5c1cNtP6mg0PbAeoFwgmNfjAMLBrff3YdF8ir95c5Ufnuv70If/9Xc+EpE7+B+/5dJTDaGO9SsFcLPG1r4Cn7zmGv721//B+w8cOubs3HrPnxw9dJf/z19vQuhgcODFcFgTt97n4aGd/XD9Ego+hWvV0HFpJoqljlw3Le7sYytTmZTr2rcsJWFMa7roaXNKp1E1VruOhMvUeJdaKYIXhLjlRx6OTzD0FKVVB0/U/0kCyZIyK7XNSLdR6G0TxAI20REUoay5ECqEbcCdRmz0vtBJHwLoXIIK28ScQXKGKHYBMJy5tIHnrp/CV39QRD309JERoE6EzQf7sWhsQ/us85/x9xuK/e9/bLODVae/5VTDpuv6lQQ4ALz99a/H9PQsqtXoffP7L6U7dg5duPi+W+iiBfLCcnDYcd0Grr+T4u+vG8Zco4oFFcCnHFwQ1GOCmUhHHoiEr7N4Jo5t15l3cyxNaDCbyCGJGL4NbtWmlVpwM23OcwQ8V2VgC0GEof46QszgaKMPhyerIBAoeBK+CwhHDUrNls8KRU9grjAEpqWM6ytPYsUTOqL+M53goOLXlKjCJyZI4tRSKuAyDs9RsiPtyEUrdCEERbPlo1Z28SevqCPGBO55aADHpwFJ+uKgUL33zf/rBWLR8LJ7Dx2N39do1FEslk41XE64fmUBDgC1WlIE/9777roZv/+KCytSzH6uQJ1XbNk1TT/6H72IWlWM9UsEjioaascE9RmCRrsNgAK+j4KWN2JEhbUYyzqFJkRnOHsi/EOtmDchHRETRrVoO9MWmxlwS3ieQOCqGH6p0Ea52ETgNSHjENNtgmrLknywW3aIHffWVx7d4ieIiZ6oWhWixetFt0pDHS/n5gTmSsSec/UrGZXwnBDlYgOSAM3JPszMFdGOGBiVmKkX0V8N8I6XTKId1xCwlWJ06dj1bVZ5456dB2fPPevcUw2PJ7V+pQFurw0X/xZmJnfPUlZ6mwzn7dh2xDn98nPx4v27dkJKimqJwWEUXAJLRiWGB6ZwcDLCTZvmoc0DJaTPlNa+5xArdm1izmoZPk4JATOxbhvcGfqi+ba5OULPDhXwHZV59b0Ivh/Bc0NQEoNIjmYsMRcRuFpSIQEzSUeOmHAgpVoLhhrQSk1PSDIZWOgun3zNjQpJEigVWPWK66jZOw4TcNwWvnEfw6HjRQxVSvCdMoQgcByJUtDG/sMEo6Or8ewLizfMG7p087qVo5+cqTdmz1iz9FTD4UmvXxuAA0C1dykAHNu37/G/2Hjx2sWnr3wU9/xw3osf+OFWUNlAqeDg+IzAmqUUV24oYy48gr3js9i134fL1JQU3yXwHN3QbFEC0+MIpEmcDu6dyVha84CYZcUdPeHCVcMAXNfMJ4pBqJILjoVAizO0uYQbEz0V2orgQIcahQK34tiGg0twk+8CSSiXSdoQiNR51BQl5gQ0VieGwxwUeAzXEdiyF/j76wfRmunB89a7WLMUOHxMGYHRBT2Yt3AlwuC0G17z0jXvmJ2d2zt/aP6phsBTXr9WADdrdHQRpBzfO2/e6neFCK5dvXLV2zc/sv1S0dyKB247ip5yDfuPlHHa2AQuXtvG3v0SBVeNxSgXKFxXcVFVGSeTiIOJvJioCWNEdxUpEGc0wwlAtUSCQ1On0p4y5zpcT55THTM6rw4IgbZgiHR9h8PTiRXq5FJd7IyqacUqakJAtcNooiogANUDVYX2M5IGYCaVlklMEEYqPOi6io/5ngMpKe7eHODosQBnLiQY7pdYMHgQ2x5fgmdfsgYLR1b+wPW8TzrFpQ8fGG/uXbFk6FQf9p9p/VoCHAAIGQSAHVLKHQA2T0yHw2uWjf3zodaW5bOHdzApOSiVcF2KgkdQKUjUSgzVsgPXpYhigenZGFEsEPG0y9+TyrF0GIHjqJJdh+VS8JalTcKCerqcGYTrJBOfhaIhdnGYlKpCz1TpCSSDUE02k2me7cCqDpSGdqQ1IwTqvVJAp85l0hQSxRT1JsFMnSKMVPEa5wSe46LVdhGGbURcgnMBz/WxeOwi/tz5Z+9YOszfNLbqgkMAtqVSdb+e69cW4GbpA7CNR8e2RTG/cuMGf+HCgQuvJ3PfqR6amipt2cHRX5LorVL097oY6GGoliSabYrNdYLDU+pzyr6iHNLTnf0Ohe8S+C50HDvbPJDosNA0NOiaEYoa3EpzRKBbRbrUlYBcKMDGRIGcUJnE1Y3TaCI9pm6ESwnJldC8BEApha8dUc9VbX3lYgQpgcnZEvYf5mi2BSpFhlYPBaUuJnoDrF0yjbXLfSxesKp+5fMvnemrNl9WI0sOEML2/roD26xfe4CbxdwBCC73PuuSefubjfpa3ty4YZSd/y9vaG6Pb7njUF/Vn630V4HRoRZq5TlsOyAx2B9g+dgMvr2pgGPTAQJPRTUYIwg8glIBCFwFzDAmaEfKqgLKcgNKPsGhUo0y1yW9qjtdmC4G65YuE5aU0KWoXFcWEgKm5RbSUlqTYFIJnDgWiGJVKO5zCUocFHwKQgDfFeivtTDVmMHNm3z0FSTaiLH9sIueggMufFDqYeHw4tlS/4aJd/zv0x3fDd6waGTJfZVKZRqA+E0BN/AUp6z9qi/KCAghwiUTk0Fp0S2FYu/K++//9LJ3ve1/fOjZl523ZfHIwEM9PaT19XsZbt/kwKMML9gAPO+iKcxGAq1IWUvPVeDuLXPM7w8x1B/CdQTaIdBqA2Gkxk4LbTUdR7XSFfwIpUKIwItVQkZQNYVMMDUPXjuCIBQuSadaCACNkGC2RdEIgXasZOpMC5vDCDyXwvcofE9lHI9OSoxPckzPxWg0Y4SR8iMCT6AQNHDjvQLfvKuIdivAZWcRvP5FIfxKoVWqDDy0eGzdlrXrX/2hL3z5X5f11GorVy1bcMuBo/VJQshvFLiB3yALbi+3OApo3Bw8sA+MOR9ljH10cNEIo86Kz5x1hljZf+6ui3fvPcoOHiUgYhyzjRZa5QCMMhR8ilpZYMFgG7XKLHYfBo5OVjAx7cFzgYLPQKmy8gRKtL8QROitNOD7LYSRi5m5EsLYgRAEruNACAbVvaAIfMFRNR6BI9GOgdkIaHKJcqRChwVXO75UgTvwKQo+ge9KMAc43mph3yEHvW0KRjnKJXUSqal2cwArY/lwGdVqgPHmMv7CywfvWro82HZ8ovXWdpNxxw3w8Q9/SY6MjDZO9fH6Ra7fSIDba8HCUSAlwLEUE2/ceLHfOzk5/rc33nS753p7uBNUz1mzqnCu0zoOKUIUPYqBWoxaZQr3PNrA1+6owYXEQLmNapmClyQodVDw1Qe7Dkd/tYnZ1ixuuJ9BCg/LBoso+BSVYgjPjSFEWl/CCEHBkaj6EpWCksW4eKQOQedw+4+rODpbQiVQ4RLHIfB9hkoRqJUFeisxzloZ4ooNs/iP7xPc91AVLpPwHYH+KoPreShVl+OMFd6PZmaLD562aoStOevy0Cv2/9mSaji58ZLeU31IfqnrNx7g+UVoHwBMAngLAPzTl7+P2jxy6QufHT4nEDMvqxWiVfN7WiiQh3GsDnzx1ioW97goFJrYedDBYOyCUg7HoSgVlNUsBBxT9SY++00fN9/bjxXzAzzzLB+j8yWGB4Bysa0KnJgABAeVEj4DqkVgXi/DyDwXz1zPsXxkBmtGj+Ofb3JQb3tgFPA9hlKBoFISGOqLUKvMYMsuoORX8eqNE9g/TiCaJaw9YzVWLiljeIQ9Vhuk17/6+YXvvPr58geV+c871bv8lK7/dgDPrze/eiMA/GD82MQPANwpJV8mo+Pi4I6dok4Glr7mRcvfs7i6B36pjWtumsLu3TMoBwxExqDEx7weoFxo45HHY3z/x/1YORhgxRCw51AbjPooFlwsGCQ4Mgk8vKOItctiHK43QUkRlSLFgkEXSxcK7Hi8AGAIG08/iO9smsOOXT2ghKFWlvBYC0QKlAszaPEijkeLMBUWcd6C+dhw9uGPPPzw7O6Nl1xERxb208B3dgK4pVj+72WpT7T+2wPcrMGBPgC4xTw+fmwcyz2vZ8nYkXvrkxKVcj16w6vPfueBo+SK/hIgJcemHz4E5jZQKRMExQALB6tYPejizBXHcf8jTTx+ZADD/QwUbWzfx3HL3cN4zvoWdh2aw8FDDA5xMViLEIpxPLAlADCAQnEAjsshHR9BwcXYaA0rVp0B5jjo72nj8ARu7Z2qfzxgvhvUzsY7fnf4B2EYTg0M9JzqXfgruf4/wE+w+gcGAWAKwI0A0GwcwKIxsvXAUTHfZxBhGGHzlh1gLITrUXieg5iL6OW/ff4HCDnwgv1zzai/3INFixmqA1OY587h7LXzsWQxxzPWNzF+vIDVi1ysWUbQ19uPFq26lb7h/5Lyux+gzHOZ48J1HVSqJSxZtgaU+vC8mMaee+TKIexeuWzhqd5FvxbrNysmdIrX/l33gRAyf/e+HbVbH2jL0cEyVi+mWLpgFtP1OjY92o+lw8APt7cwPeNjyXwHqxYDI0PHcO+WGimWxqYBeeQFVz71kdX/f3Vf/w+yrowWHsjzXwAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxODoxMToxOCswMDowMFXl7YUAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTg6MTE6MTgrMDA6MDAkuFU5AAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 60247363
    {'hecke_orbit_code': 63050463569773219, 'n': 1, 'trace_an': 8}
  • id: 60247364
    {'hecke_orbit_code': 63050463569773219, 'n': 2, 'trace_an': 0}
  • id: 60247365
    {'hecke_orbit_code': 63050463569773219, 'n': 3, 'trace_an': 0}
  • id: 60247366
    {'hecke_orbit_code': 63050463569773219, 'n': 4, 'trace_an': -52}
  • id: 60247367
    {'hecke_orbit_code': 63050463569773219, 'n': 5, 'trace_an': 0}
  • id: 60247368
    {'hecke_orbit_code': 63050463569773219, 'n': 6, 'trace_an': 0}
  • id: 60247369
    {'hecke_orbit_code': 63050463569773219, 'n': 7, 'trace_an': 0}
  • id: 60247370
    {'hecke_orbit_code': 63050463569773219, 'n': 8, 'trace_an': 0}
  • id: 60247371
    {'hecke_orbit_code': 63050463569773219, 'n': 9, 'trace_an': 0}
  • id: 60247372
    {'hecke_orbit_code': 63050463569773219, 'n': 10, 'trace_an': 0}
  • id: 60247373
    {'hecke_orbit_code': 63050463569773219, 'n': 11, 'trace_an': 0}
  • id: 60247374
    {'hecke_orbit_code': 63050463569773219, 'n': 12, 'trace_an': 0}
  • id: 60247375
    {'hecke_orbit_code': 63050463569773219, 'n': 13, 'trace_an': 0}
  • id: 60247376
    {'hecke_orbit_code': 63050463569773219, 'n': 14, 'trace_an': 0}
  • id: 60247377
    {'hecke_orbit_code': 63050463569773219, 'n': 15, 'trace_an': 0}
  • id: 60247378
    {'hecke_orbit_code': 63050463569773219, 'n': 16, 'trace_an': 148}
  • id: 60247379
    {'hecke_orbit_code': 63050463569773219, 'n': 17, 'trace_an': 0}
  • id: 60247380
    {'hecke_orbit_code': 63050463569773219, 'n': 18, 'trace_an': 0}
  • id: 60247381
    {'hecke_orbit_code': 63050463569773219, 'n': 19, 'trace_an': -692}
  • id: 60247382
    {'hecke_orbit_code': 63050463569773219, 'n': 20, 'trace_an': 0}
  • id: 60247383
    {'hecke_orbit_code': 63050463569773219, 'n': 21, 'trace_an': 0}
  • id: 60247384
    {'hecke_orbit_code': 63050463569773219, 'n': 22, 'trace_an': 0}
  • id: 60247385
    {'hecke_orbit_code': 63050463569773219, 'n': 23, 'trace_an': 0}
  • id: 60247386
    {'hecke_orbit_code': 63050463569773219, 'n': 24, 'trace_an': 0}
  • id: 60247387
    {'hecke_orbit_code': 63050463569773219, 'n': 25, 'trace_an': 0}
  • id: 60247388
    {'hecke_orbit_code': 63050463569773219, 'n': 26, 'trace_an': 0}
  • id: 60247389
    {'hecke_orbit_code': 63050463569773219, 'n': 27, 'trace_an': 0}
  • id: 60247390
    {'hecke_orbit_code': 63050463569773219, 'n': 28, 'trace_an': 0}
  • id: 60247391
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  • id: 60247585
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  • id: 60247586
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  • id: 60247587
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  • id: 60247588
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  • id: 60247589
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  • id: 60247590
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  • id: 60247591
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  • id: 60247592
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  • id: 60247593
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  • id: 60247594
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  • id: 60247595
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  • id: 60247596
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  • id: 60247597
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  • id: 60247598
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  • id: 60247599
    {'hecke_orbit_code': 63050463569773219, 'n': 857, 'trace_an': 0}
  • id: 60247600
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  • id: 60247601
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  • id: 60247602
    {'hecke_orbit_code': 63050463569773219, 'n': 877, 'trace_an': 0}
  • id: 60247603
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  • id: 60247604
    {'hecke_orbit_code': 63050463569773219, 'n': 883, 'trace_an': 0}
  • id: 60247605
    {'hecke_orbit_code': 63050463569773219, 'n': 887, 'trace_an': 0}
  • id: 60247606
    {'hecke_orbit_code': 63050463569773219, 'n': 907, 'trace_an': 0}
  • id: 60247607
    {'hecke_orbit_code': 63050463569773219, 'n': 911, 'trace_an': 0}
  • id: 60247608
    {'hecke_orbit_code': 63050463569773219, 'n': 919, 'trace_an': 237952}
  • id: 60247609
    {'hecke_orbit_code': 63050463569773219, 'n': 929, 'trace_an': 0}
  • id: 60247610
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  • id: 60247611
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  • id: 60247612
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  • id: 60247613
    {'hecke_orbit_code': 63050463569773219, 'n': 953, 'trace_an': 0}
  • id: 60247614
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  • id: 60247615
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  • id: 60247616
    {'hecke_orbit_code': 63050463569773219, 'n': 971, 'trace_an': 0}
  • id: 60247617
    {'hecke_orbit_code': 63050463569773219, 'n': 977, 'trace_an': 0}
  • id: 60247618
    {'hecke_orbit_code': 63050463569773219, 'n': 983, 'trace_an': 0}
  • id: 60247619
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  • id: 60247620
    {'hecke_orbit_code': 63050463569773219, 'n': 997, 'trace_an': 0}