Embedded newform data - 702.2.t.a.415.4

Formats: - HTML - YAML - JSON - 2025-09-04T11:46:51.981698

• 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': 2808, 'analytic_conductor': 5.605498221893883, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 117, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 6, 'char_parity': 1, 'char_values': [702, 6, [677, 379], [4, 3]], 'cm_discs': [], 'conrey_index': 181, 'dim': 28, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1305703613118, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 3, 1, 3, 0], [1, 1, 13, 2, 1, 2, 0], [1, 1, 117, 20, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '702.2.t.a', 'level': 702, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'minimal_twist': '234.2.t.a', 'prim_orbit_index': 20, 'related_objects': [], 'relative_dim': 14, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '702.2.t', 'trace_display': [0, 0, 0, 0], 'traces': [28, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 2, -8, 0, -14, -16, 0, 0, 0, 0, 0, 8, 0, 14, -8, 0, 0, 16, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 10, 0, 0, -2, 120, 0, 0, 8, 0, 0, 0, 0, 28, -68, 0, -28, 8, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, 0, 24, 0, 28, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 28, 16, 0, -28, -4, 0, 0, -152, 0, 0, 0, 0, 0, -26, 0, 0, 32, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, -104, 0, 0, 0, -76, 0, -24, -104, 0, 0, 0, 0, -4, 34, 0, -24, -60, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38, 116, 0, -8, 0, 0, 0, 0, 0, 24, 0, 0, 104, -24, 0, 0, 100, 0, 0, 0, 0, 0, -60, 0, 0, -24, 0, -10, 0, 0, -56, 0, 0, 0, 0, 0, 24, 0, 0, -4, -168, 0, 4, 60, 0, 0, 0, 0, -96, 52, 0, 0, 54, 0, 0, 16, 0, 0, 0, 0, 0, -16, 0, 0, -96, 0, -84, 0, 0, -18, 0, 0, 0, 0, 0, 56, 0, 0, -30, -34, 0, 42, -116, 0, 0, 0, 0, -14, -24, 0, -18, 16, 0, 0, 144, 0, 0, 0, 0, 0, 232, 0, 0, 8, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 22, 0, 0, 30, 112, 0, 76, 160, 0, 0, 0, 0, -108, -32, 0, 36, 108, 0, 0, -8, 0, 0, 0, 0, 0, -24, 0, 0, -56, 0, -32, 0, 0, 56, 0, 0, 0, 0, 0, 48, 0, 0, 52, -68, 0, -24, 90, 0, 0, 0, 0, 12, 8, 0, 64, 0, 0, 0, -96, 0, 0, 0, 0, 0, -216, 0, 0, 232, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 196, 0, 0, 0, -152, 0, -4, -16, 0, 0, 0, 0, 88, 84, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 24, 0, 12, 0, 0, -24, 0, 0, 0, 0, 0, 14, 0, 0, 18, 32, 0, 72, 60, 0, 0, 0, 0, 28, 88, 0, -120, 4, 0, 0, 152, 0, 0, 0, 0, 0, -154, 0, 0, -76, 0, -18, 0, 0, 112, 0, 0, 0, 0, 0, -76, 0, 0, 108, -92, 0, -108, 184, 0, 0, 0, 0, 96, 26, 0, 0, 144, 0, 0, 184, 0, 0, 0, 0, 0, 16, 0, 0, 84, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 24, -100, 0, -14, -48, 0, 0, 0, 0, 18, -44, 0, 0, 60, 0, 0, 108, 0, 0, 0, 0, 0, 168, 0, 0, -120, 0, -52, 0, 0, 60, 0, 0, 0, 0, 0, -36, 0, 0, 0, 192, 0, -28, 76, 0, 0, 0, 0, -14, -216, 0, -48, 190, 0, 0, -52, 0, 0, 0, 0, 0, 8, 0, 0, 14, 0, -112, 0, 0, -72, 0, 0, 0, 0, 0, 4, 0, 0, -212, -34, 0, 48, 28, 0, 0, 0, 0, -48, -160, 0, -8, -30, 0, 0, -472, 0, 0, 0, 0, 0, -88, 0, 0, -32, 0, -48, 0, 0, -48, 0, 0, 0, 0, 0, -84, 0, 0, -24, 0, 0, 88, -500, 0, 0, 0, 0, -136, 0, 0, -24, -120, 0, 0, -152, 0, 0, 0, 0, 0, -32, 0, 0, -132, 0, 10, 0, 0, 4, 0, 0, 0, 0, 0, -18, 0, 0, 74, 120, 0, 0, 42, 0, 0, 0, 0, -84, 320, 0, 0, -56, 0, 0, 116, 0, 0, 0, 0, 0, -182, 0, 0, -136, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -16, 0, 0, -76, -12, 0, 120, 58, 0, 0, 0, 0, -96, 106, 0, -4, 168, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, -40, 0, 120, 0, 0, 12, 0, 0, 0, 0, 0, 48, 0, 0, 60, 0, 0, -42, -56, 0, 0, 0, 0, 52, -128, 0, 88, -48, 0, 0, 212, 0, 0, 0, 0, 0, 336, 0, 0, -100, 0, 132, 0, 0, -144, 0, 0, 0, 0, 0, -136, 0, 0, -60, 152, 0, -272, 232, 0, 0, 0, 0, 210, -120, 0, -72, 58, 0, 0, -168, 0, 0, 0, 0, 0, 24, 0, 0, 48, 0, 204, 0, 0, -20, 0, 0, 0, 0, 0, -132, 0, 0, 224, -58, 0, -28, -16, 0, 0, 0, 0, 72, -108, 0, -204, -84, 0, 0, -160, 0, 0, 0, 0, 0, -88, 0, 0, 256, 0, 48, 0, 0, -40, 0, 0, 0, 0, 0, -248, 0, 0, -2, -180, 0, -60, -336, 0, 0, 0, 0, -98, 116, 0, -4, -552, 0, 0, -60, 0, 0, 0, 0, 0, 32, 0, 0, 94, 0, -74, 0, 0, -36, 0, 0, 0, 0, 0, -48, 0, 0, -66, 104, 0, -240, 18, 0, 0, 0, 0, 0, 96, 0, 136, -54, 0, 0, 240, 0, 0, 0, 0, 0, 36, 0, 0, 8, 0, 84, 0, 0, -384, 0, 0, 0, 0, 0, 160, 0, 0, -84, 24, 0, 168, 244, 0, 0, 0, 0, 184, 16, 0, 36, 108, 0, 0, 276, 0, 0, 0, 0, 0, -48, 0, 0, 264, 0, -44, 0, 0, -42, 0, 0, 0, 0, 0, 192, 0, 0, -30, -36, 0, 18, 96, 0, 0, 0, 0, -144, -152, 0, -92, 216, 0, 0, 116, 0, 0, 0, 0, 0, 456, 0, 0, -156, 0, 28, 0, 0, -108, 0, 0, 0, 0, 0, 270, 0, 0, 30, 464, 0, 296, 34, 0, 0, 0, 0, -112, -304, 0, 84], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [-0.6123724356957945, 0.3535533905932738], [0.0, 0.0], [0.25, -0.4330127018922193], [0.18755152214170479, 0.10828292179543732], [0.0, 0.0], [1.6544333583398987, -0.955187544793837], [0.0, 0.3535533905932738], [0.0, 0.0], [-0.15313517657649267, 0.0], [0.8385829287605228, -0.48415607965771257], [0.0, 0.0], [-0.2003319371215654, 0.9797280821580655], [-0.6754195902286513, 1.1698610467033757], [0.0, 0.0], [-0.125, -0.21650635094610965], [-1.0192447588353186, 0.0], [0.0, 0.0], [0.0, -0.7367750787494574], [0.09377576107085239, -0.05414146089771866], [0.0, 0.0], [-0.34235004707866284, 0.5929676755138411], [0.6539185003927844, -1.1326200666895514], [0.0, 0.0], [-0.4765496176948864, -0.8254081501750677], [-0.22370842902363977, -0.670786507604152], [0.0, 0.0], [0.0, -0.955187544793837], [0.426406192327029, 0.7385571897724005], [0.0, 0.0], [-1.0084916265843769, -0.5822529120839735], [0.15309310892394862, 0.08838834764831845], [0.0, 0.0], [0.6241573955381567, -0.3603574403306505], [0.4137219928515473, 0.0], [0.0, 0.0], [0.0, 0.34265436296072055], [0.2604893271964969, 0.451180749533766], [0.0, 0.0], [-0.03828379414412317, 0.06630947656412918], [1.4950533546192732, 0.8631694567422905], [0.0, 0.0], [0.7218785275955769, 1.250330286688551], [0.0, -0.48415607965771257], [0.0, 0.0], [0.0, 0.9247804119421518], [0.6671409906794044, -0.3851740305561877], [0.0, 0.0], [1.3247664914585568, -2.2945628713709816], [0.5836517002354346, 0.33697146624391094], [0.0, 0.0], [0.37415171969455485, 0.3316782939078276], [-0.8818414618013343, 0.0], [0.0, 0.0], [0.2097033396414464, 0.0], [0.33770979511432564, 0.5849305233516878], [0.0, 0.0], [-0.5222387971821443, -0.30151471013437736], [-0.4084945459873425, -0.23584443608828617], [0.0, 0.0], [0.06412902817959948, 0.11107473504708257], [0.8234299650003847, 0.0], [0.0, 0.0], [-0.125, 0.0], [-0.14366037904186146, 0.16205696561325544], [0.0, 0.0], [0.11447123560727354, 0.06608999869232846], [-0.25481118970882966, 0.44134592691276475], [0.0, 0.0], [-0.25335194446342013, 0.14627281333567074], [0.0, 0.5495288502271768], [0.0, 0.0], [0.0, 0.03809980201288187], [-0.12114661182634102, -0.20983208684804727], [0.0, 0.0], [-0.3190329675361552, -0.18419376968736434], [0.9249197140505196, -1.6020079376575778], [0.0, 0.0], [0.4408300585251326, 0.7635400588690913], [0.0, -0.05414146089771866], [0.0, 0.0], [-1.2207059523511639, 0.0], [0.5576260586849614, -0.32194555508891254], [0.0, 0.0], [-0.1911609059545188, -0.11036680051137417], [-0.8841170244403944, -0.5104452020557927], [0.0, 0.0], [0.17117502353933142, 0.29648383775692055], [0.0, -0.8934853698579738], [0.0, 0.0], [0.6043882218473684, 1.812249392387618], [-0.3269592501963922, -0.5663100333447757], [0.0, 0.0], [-0.2723591689432348, 0.4717399185169181], [0.07978015823305466, -0.13818328749553513], [0.0, 0.0], [1.1475514609916289, -0.6625391449124653], [0.0, 1.8735027391981123], [0.0, 0.0], [-0.4765496176948864, 0.0], [-0.3406520381004814, -0.5900266376919228], [0.0, 0.0], [-0.17515221082941476, 0.30337252821456206], [-0.34638618530642956, -0.07082803561344797], [0.0, 0.0], [0.540015403860823, -0.3117780387855906], [-0.13668892820446904, 0.0], [0.0, 0.0], [0.0, 0.4765426564437929], [-0.12841654486977502, 0.07414132674896626], [0.0, 0.0], [-0.41360833958497467, -0.23879688619845926], [-0.6156223174206871, 1.0662891320459247], [0.0, 0.0], [0.24528682021057538, -0.14161641167724304], [0.426406192327029, 0.0], [0.0, 0.0], [0.33353440012628893, 0.0], [-1.686272529330256, 0.9735698987358945], [0.0, 0.0], [-0.031185781060949398, 0.0540153572712836], [-0.07854169837029115, -0.045346070696697986], [0.0, 0.0], [-0.5042458132921884, 0.2911264560419867], [0.0, -0.42297458352887835], [0.0, 0.0], [-0.4049005027866122, 0.0], [0.07654655446197431, -0.04419417382415922], [0.0, 0.0], [0.030677866565021743, -0.15003083285822388], [0.10787904397969084, -0.18685198524478194], [0.0, 0.0], [-0.7037583785359801, -1.218945267876608], [-0.09346537248791101, 0.0], [0.0, 0.0], [0.0, -0.3603574403306505], [-1.450962702558922, 0.8377137069065005], [0.0, 0.0], [0.01642925756615013, -0.02845630883520742], [0.10343049821288683, -0.17914687795688197], [0.0, 0.0], [-0.1942877882266417, -0.33651632049872576], [0.3063463648325471, 0.9185751698320531], [0.0, 0.0], [0.0, 0.18469003350735153], [-0.013470314182586823, -0.023331268558156006], [0.0, 0.0], [0.1483736915207788, 0.08566359074018014], [-0.6710747539842461, -0.3874451898591664], [0.0, 0.0], [0.09384873037705524, -0.05418358974629745], [0.2604893271964969, 0.0], [0.0, 0.0], [0.0, 1.30803400371649], [-0.1260960930887091, -0.21840483986557888], [0.0, 0.0], [0.23313851446032177, -0.4038077522464087], [-0.5399043533339102, -0.3117139237339839], [0.0, 0.0], [0.019141897072061584, 0.03315473828206459], [0.0, -2.498459227541806], [0.0, 0.0], [0.0, 1.1853826565929633], [0.7475266773096366, -0.43158472837114525], [0.0, 0.0], [-0.22764988517623724, 0.3943011674624639], [-0.805977694151696, -0.4653314386793155], [0.0, 0.0], [-0.9197342299382423, -0.3925416491022429], [0.15608222611891118, 0.0], [0.0, 0.0], [0.7218785275955769, 0.0], [0.33675470747933545, 0.5832762630422039], [0.0, 0.0], [-1.5768391688370915, -0.9103885185968404], [-0.2096457321901307, -0.12103901991442814], [0.0, 0.0], [0.31589478195877185, 0.5471458121984852], [-0.7751211018579094, 0.0], [0.0, 0.0], [0.8057834041984107, 0.0], [-1.0108376047977656, -0.8960880694358524], [0.0, 0.0], [0.4004416648320707, 0.23119510298553794], [-0.03710361558734109, 0.06426534734177933], [0.0, 0.0], [-0.854721254987934, 0.4934735466493785], [0.0, -0.3851740305561877], [0.0, 0.0], [0.0, 0.11282618178145744], [0.407300026663191, 0.7054643401048052], [0.0, 0.0], [0.47536723997976205, 0.27445340396624507], [-0.4684859221691409, 0.8114414198277107], [0.0, 0.0], [-0.6623832457292784, -1.1472814356854908], [0.0, 1.7467652968839535], [0.0, 0.0], [-0.9591866164789601, 0.0], [0.2918258501177173, 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[0.17803690726053473, 0.3083689689976745], [0.22984792344574723, -0.07665466923603885], [0.0, 0.0], [0.0, -0.5768560274308929], [0.059437232956336954, 0.10294830734168291], [0.0, 0.0], [1.3922979248956002, 0.8038435817306322], [-0.01909731270736936, -0.011025838632398161], [0.0, 0.0], [-0.17573049560956522, 0.10145804894500883], [0.999546024148197, 0.0], [0.0, 0.0], [0.0, -0.06277208878958605], [-0.4139401428308758, -0.7169653586753949], [0.0, 0.0], [0.01603225704489987, -0.027768683761770642], [0.19117797448710808, 0.11037665503325926], [0.0, 0.0], [-0.4325863739019579, -0.7492615782601785], [0.0, -0.2868991727836456], [0.0, 0.0], [0.0, 0.35740306349975254], [1.448249076000078, -0.8361469938822718], [0.0, 0.0], [-0.18914485003746898, 0.3276084902548923], [0.5322891568883614, 0.30731728801621444], [0.0, 0.0], [0.24437230111342534, -0.27566566274220056], [1.8881988969242034, 0.0], [0.0, 0.0], [-0.8267986474603916, 0.0], [-0.10292874562504808, -0.17827781698191608], [0.0, 0.0], [-0.6428723959204676, -0.3711625508392617], [-0.17989690993858057, -0.10386352937942137], [0.0, 0.0], [-0.4314678335991185, -0.7473242096253472], [0.4893665916385997, 0.0], [0.0, 0.0], [0.14954409814141284, 0.0]], 'angles': [None, None, -0.14939904727005646, -0.1311599662703823, -0.25289667824597545, None, -0.33510744416456895, -0.43995498060360855, -0.3032286230238463, -0.013223046364537049, -0.2655809916198696, 0.02740275876167112, -0.0009046280820881981, 0.04502720481645073, -0.27040404245614935, -0.3226740059828819, -0.20455945724458757, -0.0731198727974596, -0.15614044428786755, 0.0442999331503565, 0.0030320693184628226, -0.010675405187070363, -0.28116493141870735, -0.4262919742787072, -0.21807274688619321, -0.13865723534529809, -0.444687544322906, -0.26088584510574714, 0.03829037552478012, 0.18888098029990333, -0.2824452215557035, -0.39946370518132435, -0.49138742887741904, -0.41405175146814804, -0.22998784658447927, -0.3247055219973567, -0.37921688906459944, 0.10096729591641165, 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-0.47140815674991693, -0.1303704586054333, -0.40832944724333786, -0.1471224238302504, -0.307772322145889, 0.0005544985074803998, 0.06276860426540881, -0.2708869221865121, -0.3810267208177825, -0.18140561789099757, -0.46568735123674393, -0.28495901072984486, 0.19927213955146209, 0.04578439486055496, -0.21203839453778872, -0.16323349649935978, -0.22781064083669691, -0.0957736585275033, -0.4485074029403636, -0.42627821935206356, -0.31159064152819804, -0.4219665597849392, -0.3302825308236508, -0.3843174758489134, -0.15966968093152645, -0.13892529318869687, -0.060047165437547456, -0.32805320408347477, -0.29026640088240097, -0.04870848307552463, -0.1456593748143195, -0.13581339735166964, -0.018059108493686183, -0.16670837851217493, -0.14906380964061394, -0.1757348316466454, -0.31782931847534474, -0.15433541297049436], 'char_orbit_index': 20, 'conrey_index': 415, 'dual_conrey_index': 181, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 18, 'hecke_orbit': 1, 'hecke_orbit_code': 1305703613118, 'label': '702.2.t.a.415.4', 'level': 702, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 2808, 'analytic_conductor': 5.605498221893883, 'char_conductor': 117, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 20, 'char_orbit_label': 't', 'char_order': 6, 'char_parity': 1, 'char_values': [702, 6, [677, 379], [4, 3]], 'conrey_index': 181, 'cusp_dim': 228, 'dim': 28, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 1305703613118, 'hecke_orbit_dims': [28], 'label': '702.2.t', 'level': 702, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'mf_dim': 276, 'mf_new_dim': 28, 'num_forms': 1, 'prim_orbit_index': 20, 'relative_dim': 14, 'sturm_bound': 252, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [28, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 2, -8, 0, -14, -16, 0, 0, 0, 0, 0, 8, 0, 14, -8, 0, 0, 16, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 10, 0, 0, -2, 120, 0, 0, 8, 0, 0, 0, 0, 28, -68, 0, -28, 8, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, 0, 24, 0, 28, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 28, 16, 0, -28, -4, 0, 0, -152, 0, 0, 0, 0, 0, -26, 0, 0, 32, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, -104, 0, 0, 0, -76, 0, -24, -104, 0, 0, 0, 0, -4, 34, 0, -24, -60, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38, 116, 0, -8, 0, 0, 0, 0, 0, 24, 0, 0, 104, -24, 0, 0, 100, 0, 0, 0, 0, 0, -60, 0, 0, -24, 0, -10, 0, 0, -56, 0, 0, 0, 0, 0, 24, 0, 0, -4, -168, 0, 4, 60, 0, 0, 0, 0, -96, 52, 0, 0, 54, 0, 0, 16, 0, 0, 0, 0, 0, -16, 0, 0, -96, 0, -84, 0, 0, -18, 0, 0, 0, 0, 0, 56, 0, 0, -30, -34, 0, 42, -116, 0, 0, 0, 0, -14, -24, 0, -18, 16, 0, 0, 144, 0, 0, 0, 0, 0, 232, 0, 0, 8, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 22, 0, 0, 30, 112, 0, 76, 160, 0, 0, 0, 0, -108, -32, 0, 36, 108, 0, 0, -8, 0, 0, 0, 0, 0, -24, 0, 0, -56, 0, -32, 0, 0, 56, 0, 0, 0, 0, 0, 48, 0, 0, 52, -68, 0, -24, 90, 0, 0, 0, 0, 12, 8, 0, 64, 0, 0, 0, -96, 0, 0, 0, 0, 0, -216, 0, 0, 232, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 196, 0, 0, 0, -152, 0, -4, -16, 0, 0, 0, 0, 88, 84, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 24, 0, 12, 0, 0, -24, 0, 0, 0, 0, 0, 14, 0, 0, 18, 32, 0, 72, 60, 0, 0, 0, 0, 28, 88, 0, -120, 4, 0, 0, 152, 0, 0, 0, 0, 0, -154, 0, 0, -76, 0, -18, 0, 0, 112, 0, 0, 0, 0, 0, -76, 0, 0, 108, -92, 0, -108, 184, 0, 0, 0, 0, 96, 26, 0, 0, 144, 0, 0, 184, 0, 0, 0, 0, 0, 16, 0, 0, 84, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 24, -100, 0, -14, -48, 0, 0, 0, 0, 18, -44, 0, 0, 60, 0, 0, 108, 0, 0, 0, 0, 0, 168, 0, 0, -120, 0, -52, 0, 0, 60, 0, 0, 0, 0, 0, -36, 0, 0, 0, 192, 0, -28, 76, 0, 0, 0, 0, -14, -216, 0, -48, 190, 0, 0, -52, 0, 0, 0, 0, 0, 8, 0, 0, 14, 0, -112, 0, 0, -72, 0, 0, 0, 0, 0, 4, 0, 0, -212, -34, 0, 48, 28, 0, 0, 0, 0, -48, -160, 0, -8, -30, 0, 0, -472, 0, 0, 0, 0, 0, -88, 0, 0, -32, 0, -48, 0, 0, -48, 0, 0, 0, 0, 0, -84, 0, 0, -24, 0, 0, 88, -500, 0, 0, 0, 0, -136, 0, 0, -24, -120, 0, 0, -152, 0, 0, 0, 0, 0, -32, 0, 0, -132, 0, 10, 0, 0, 4, 0, 0, 0, 0, 0, -18, 0, 0, 74, 120, 0, 0, 42, 0, 0, 0, 0, -84, 320, 0, 0, -56, 0, 0, 116, 0, 0, 0, 0, 0, -182, 0, 0, -136, 0, 0, 0, 0, 216, 0, 0, 0, 0, 0, -16, 0, 0, -76, -12, 0, 120, 58, 0, 0, 0, 0, -96, 106, 0, -4, 168, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, -40, 0, 120, 0, 0, 12, 0, 0, 0, 0, 0, 48, 0, 0, 60, 0, 0, -42, -56, 0, 0, 0, 0, 52, -128, 0, 88, -48, 0, 0, 212, 0, 0, 0, 0, 0, 336, 0, 0, -100, 0, 132, 0, 0, -144, 0, 0, 0, 0, 0, -136, 0, 0, -60, 152, 0, -272, 232, 0, 0, 0, 0, 210, -120, 0, -72, 58, 0, 0, -168, 0, 0, 0, 0, 0, 24, 0, 0, 48, 0, 204, 0, 0, -20, 0, 0, 0, 0, 0, -132, 0, 0, 224, -58, 0, -28, -16, 0, 0, 0, 0, 72, -108, 0, -204, -84, 0, 0, -160, 0, 0, 0, 0, 0, -88, 0, 0, 256, 0, 48, 0, 0, -40, 0, 0, 0, 0, 0, -248, 0, 0, -2, -180, 0, -60, -336, 0, 0, 0, 0, -98, 116, 0, -4, -552, 0, 0, -60, 0, 0, 0, 0, 0, 32, 0, 0, 94, 0, -74, 0, 0, -36, 0, 0, 0, 0, 0, -48, 0, 0, -66, 104, 0, -240, 18, 0, 0, 0, 0, 0, 96, 0, 136, -54, 0, 0, 240, 0, 0, 0, 0, 0, 36, 0, 0, 8, 0, 84, 0, 0, -384, 0, 0, 0, 0, 0, 160, 0, 0, -84, 24, 0, 168, 244, 0, 0, 0, 0, 184, 16, 0, 36, 108, 0, 0, 276, 0, 0, 0, 0, 0, -48, 0, 0, 264, 0, -44, 0, 0, -42, 0, 0, 0, 0, 0, 192, 0, 0, -30, -36, 0, 18, 96, 0, 0, 0, 0, -144, -152, 0, -92, 216, 0, 0, 116, 0, 0, 0, 0, 0, 456, 0, 0, -156, 0, 28, 0, 0, -108, 0, 0, 0, 0, 0, 270, 0, 0, 30, 464, 0, 296, 34, 0, 0, 0, 0, -112, -304, 0, 84], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 15712669
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 415, 'target_dim': 28, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1305703613118, 'target_is_minimal': False, 'target_label': '702.2.t.a.415.4', 'target_level': 702, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 15712670
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 103, 'target_dim': 28, 'target_embedding_index': 12, 'target_hecke_orbit_code': 1305703612650, 'target_is_minimal': True, 'target_label': '234.2.t.a.103.12', 'target_level': 234, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 15712671
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 25, 'target_dim': 28, 'target_embedding_index': 5, 'target_hecke_orbit_code': 1305703612650, 'target_is_minimal': True, 'target_label': '234.2.t.a.25.5', 'target_level': 234, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 15712672
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 649, 'target_dim': 14, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13510867635144762, 'target_is_minimal': False, 'target_label': '2106.2.b.d.649.4', 'target_level': 2106, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 15712673
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 649, 'target_dim': 14, 'target_embedding_index': 11, 'target_hecke_orbit_code': 9007268007774266, 'target_is_minimal': False, 'target_label': '2106.2.b.c.649.11', 'target_level': 2106, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 15712674
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 181, 'target_dim': 28, 'target_embedding_index': 11, 'target_hecke_orbit_code': 1305703613118, 'target_is_minimal': False, 'target_label': '702.2.t.a.181.11', 'target_level': 702, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 15712675
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 415, 'target_dim': 28, 'target_embedding_index': 11, 'target_hecke_orbit_code': 1305703613118, 'target_is_minimal': False, 'target_label': '702.2.t.a.415.11', 'target_level': 702, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 15712676
    {'conductor': 39, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 103, 'target_dim': 28, 'target_embedding_index': 5, 'target_hecke_orbit_code': 1305703612650, 'target_is_minimal': True, 'target_label': '234.2.t.a.103.5', 'target_level': 234, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '39.38', 'twisting_conrey_index': 38, 'weight': 2}
  • id: 15712677
    {'conductor': 117, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 181, 'target_dim': 28, 'target_embedding_index': 4, 'target_hecke_orbit_code': 1305703613118, 'target_is_minimal': False, 'target_label': '702.2.t.a.181.4', 'target_level': 702, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '117.25', 'twisting_conrey_index': 25, 'weight': 2}
  • id: 15712678
    {'conductor': 117, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 25, 'target_dim': 28, 'target_embedding_index': 12, 'target_hecke_orbit_code': 1305703612650, 'target_is_minimal': True, 'target_label': '234.2.t.a.25.12', 'target_level': 234, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '117.38', 'twisting_conrey_index': 38, 'weight': 2}
  • id: 15712679
    {'conductor': 117, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 649, 'target_dim': 14, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007268007774266, 'target_is_minimal': False, 'target_label': '2106.2.b.c.649.4', 'target_level': 2106, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '117.77', 'twisting_conrey_index': 77, 'weight': 2}
  • id: 15712680
    {'conductor': 117, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 415, 'source_dim': 28, 'source_embedding_index': 4, 'source_hecke_orbit_code': 1305703613118, 'source_is_minimal': False, 'source_label': '702.2.t.a.415.4', 'source_level': 702, 'target_conrey_index': 649, 'target_dim': 14, 'target_embedding_index': 11, 'target_hecke_orbit_code': 13510867635144762, 'target_is_minimal': False, 'target_label': '2106.2.b.d.649.11', 'target_level': 2106, 'twist_class_label': '234.2.t.a.25.5', 'twist_class_level': 234, 'twisting_char_label': '117.103', 'twisting_conrey_index': 103, 'weight': 2}
• hecke_orbit_code 1305703613118 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 20, 'hecke_orbit': 1, 'label': '702.2.t.a', 'level': 702, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHERYfJ3KL+QAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7L153H1XXd/7Xmvt4UzP+JvH/PJLfplDQkJIwgwyVaSAgNii1jpWatt7ex2r3qqtVWl7rVqsiogigigggxAgCYRMhMxzfvM8P/OZzx7Wun+sPax9nicBvfRGbM/rtXP2Oc+T33PO3p/92Z/v5zsswf9+fMseH//sXUgpNj2x//iUSY3Zus4n8CUPHenyihfMipuuaC3c+XDK1nWL666//JR5bP82aoFk07o+rWYqtNyzAubcuq0vB9gCLAMDIcTz/dW+bR/e8/0Bvl0eB4+eBbhQ63STQej+IOITn/xr9mw9za4ti9RUwOGTn4yXzHW/POgtfZcnTHzqbMCmWUHcH9JdSYJTp+Y/cOKUQKTDHz4x2YvOnJtnyzo4PoyYbKX+MDn6N7/zp3t/+emTnxL/7Vd+5DfPnTryV7XksYd6K/uUIQQhpJL+OeBIvbX1+T4k3xaP/00Nz/J45uAcRtSmfXPkFf2lx1FCxqeWpv7P7lC+TgpDFCc8/PCjtOrLXLy1zXJXceJ8HfSIJE6YmTDsOxFw5YUpZ+YkM5MJE82QQ2c8Uh2zviU4vRBz1W7NgROS2UlNEATUah5H5iTLPbhkY8KenTNcevkLMPh4CvqRd+veI8PfSk3qv/plV3Hxrm13YkbLQm58vg/Z38vH/wZ49lhensfAG1rN0UVHjnb1r/zOX+p3v2Hywt5o48/1Oodo1gKOnjhLp7NAFHss9SWpCaj5honQcL6TcODMkK2zNabqCiVi1k8G7Nmh6A9ByBGn5jyGEZxeECgCBqOYi3YYNs30kEiajYjNG7rsOzbL4nKdZi0l9GL6Q027p4iShOmZ9TRbW1HeiCv3XMhj+xZ+48ZLzh7ZvucHZCSm5NYN3iHgi5MT657vQ/r34vG/PMCfeeJupBCvWFyJXv/koYV3XH7h3KWjXsAHPrmfm65aZn7O5/h8n23rFI0Q1k9pTi2FKGmQQrNlOuX4+RrNhuGhQyP6I0EtgIUVuHC9R6Mesml9wiuu6vD0kUke2it45njCzVembF2naTYFOzYtM7+sqIUwGBke2beOVl1y+HzA5pkhUkCgUs4uKiabCZKUrRtj5hdaDIzmVdc0Ob50BbVWysteMLXv3NKGj0eJ/JIQ3PmG173y+T7Ez+vjfzmAd7tt6rVw5uy5+f/0h3/2peDAiWfSH3tz7bql5cnrP3rLOTZtOMZrrmly+4NTDPQKr7vO4+7HauzePqA38DmzpBjFgtBLuHx7ysaZEYtdyWOHJ4kTwZ6tQ853FVfvHnDgqE9n6BGN4IbLe+w/2WCiHrH3lMeNl0iieERn6PHYMcm1F6S0uz4XbYuIYskTRwQL3Rqbp+HSHV0CTxLFcHbJpztKuHiLz1cfM7zm+h6jwRS3fL3PK69f4Zrd23ngwFYWBv2H3vXqhYc3rb9GrdvxxqjRmv13aRItzUxPPt+n4P/Xxz/4IPPwkWMEvic+8dm7edWLh0oOvvB7h4/4lzzw6NmXnTx+Sp093+Hg8ZNsak2wdbbJo4fW8Yprl7ju0km++ECLBw/1uWCz4cycx5YNhv5pQ2wMo9jn5Lxk4+wIIQx7to145ohHGAzYvTng3LzP9ITgxstjHj+oeeLwBP24y85NES/wJzm9AI8dqHPJzoQd6+DweUE9jEEoDpzyMMRIE7F9vaFVByUifOXTHsD2DYpjZwTXX9plutHk1icFE5MxN185wcNPw90PH2b79u71JvKu37vvKKe//tdp0Np+eTsJ9r//I3/xnpddLtMN21+O0YnZsGnH832K/qc+/kECfHnpLFIqORp2ah//8K+MXveWX/ipNE2//xf/x7H4F969/7K6mKx1l2u0Ahj2JY8cgO9/bY+rLmpxZrHGbQ+FfPfLVrhm9yxffjTgou19Nk21OHYm4YZLI/adDJhqxoDkqWMNtsxoFpc97n065d6DcPVOw+XbJUtdwd3PSF59ZcxUU7HcbXHyrMdKx6D8iB944zLHz02w0hW88JIhV180j8805xbWc3IeLr9AM4gkR8+FTDc89p6SXLIdul3JJTsX2LWlxpcfDDi2OODtr9CcX5hm7zFoj1KuvShC6Dr7jvR5+vA+dWDuyCsnpvs3/j8/0bhBp9f7o9Hoz97yT37uvzz19MFwdmZyGCeJ3rnjH54z8w9KoiSpRkghSZamVhYP3zQYqfcfPHA4ue/Bg7OPPXN24snjCdPrF/jF7x1h0q08fqDOYwdiDpwb8Pqb27z0siaP75/izicipmZ7vO0lkif3tbj7qQGX7U7YNlMHM0B4Al96HDrrsWEipT0ytGojjs+lPH0ypaWmed2LeiyvtLj/GcOVuwQX70hJE8GJeZ801Vy8TXDFhTH3Py1Y6vV57fWSevMM+4+1OHZ2mkYo6PZ91k0mHD4bEHgjlFQY7bF90xJX7FTc9eg0Dx2Jecsr2mxsTnHXIzUePdrnxmuW+c4XBRw6vp7H9msePxzTlz1+4fvm2Dq1gf3H17M82NBpzexa3LXrIm+Uyh+96sqL7ts821oBo4WQz/ep/JY9/sEw+Lnzi5w9t3jBXY8c27Z7S/rxHbW/mTx2vNs8dhTioUerDpunDE8cm+aeved4203LbG97tHsenUHIx7/cZLbV4eo9HsOoyT1PGT51b5+3v6xNrdbikYM+W2Z7zE4EnDzv0Rmk9PsDmht9Yu0x01RsmZa8/MoBjx5M8KQgDBLCRsJDRxTNls+2dRGjBLbOwrWXzNPue4ySaWLt8eQxyeMHdhKqGmGQ4k2NGIxgcmLALqDTCzg5lzI71Wf9ZIsv3R/w5ImIt76yx7apCe59vMYTR4dcvnuZf/KqlAPHpjl8SnBqLuFsO+VNr+xw5Y46e480mV+GY2fOTZy479jEyugBGhu3/dV/+9lBOw2Sd8TyslPD/uKxWmP2+T6l35LHtz3AjTEAl3zx1q9u0fh/cOfX9l38K/fdpf74p0+xrrWRxalZekOP/tBjMNJ0hvChL82wZXaRm/Z49IfrGMU+g6jB/c9ERPEyV++BMGjwwD7FJ+9qc+UFK7zs6iYHT04wvzKkHiSsn9bs2ao4u6hYaks63ZRWfUQY+GxbH3H0nI8nB7z1JR4P7/e5bOcKU1MdPv9Ig84gZN1kk0cOBFx+YZfZSZ9jc4Kt631qtZjpWorvSaQUPLR3hslmn3ow4qLtikDWuecJQ6OxwttfCS1/iq88GLDv1ICrL13i2t1w8swm9h7xOXYm5ulThuuvWuYHXxtz6vxmzi3WWFiG5XZCuw9Pnx4w2b2/2T3xxebc4I13Jr462O3pHzfGnAH2f7tnUb9tAd5uL+F53sX79z31gpWV7r85fPjIK+6672meONJlYVDnDz7b4qe/p82W9TUGI8VgFDAc+QxGht6ZOp+/v8nNVyxy7SUKmMYYn8cOTfMn+3u8/dUdbrosZt1Uk4f2TnPr/UM2rxty6U7BhkmPw2d8+sOYXh/aPYHnGbauS0FJpIwY9CVnl2ug62yYjLhoa597nwgZkfC2l8akUYNDpyTrpz22zgq0Tphf9ugMRwzigG4vYPu6EbMTQ5SSeJ4gjj0On4L1031uvDphy7THgeOT3LMPzix1uf7qLt/7ypSTZzbx6P6Q/ccTHj2SEosub7phyHCwjlPnG5xblMwvxyy2E04tSVRtyL9+2zINP+TYoYfVfOfMpeHklXf0R8Gdyq/99vLyyuNJkhxcv/7b01dXz/cH+Ls8luZPEgTBBadP7vt/jh3Z++/vuee+C/YdOMxwFKGkZDRSPHXcZ9vGDi+5IiaOA+LUQxuFMQIPzYlzAccWNBds7rBpGhphjZrvofB47LDi3MqQiYmIK3ZpLtkW0u3VODUvCLyY2CjOLPucmdd0IoHneWycSji/rDl2NmC6JRF4bJiJWeoarrpgiJQNzi422LM15MDxkJMLhssvGHF+SRInPoNIccn2GCEM3b5k41TC+pkRG2YifAntviIMYc82wfJyiy8/XOfgmSEzM21edd2AGy8JOXxiA4/tD3j6SMKR+YjWVJsfekOPK3ZOcvzsFCfO+ZyZTzm/GHNiUXBg3vCWl57nh9+Y0OvNcH5pkvOLhoOHzvL0vmMXdHvxu6Io3blx44b7fuInfnLlt3/7t57vU/+3fnxb3X/i/j6UV1vfa5/6NyePPHrVubnBWw8cPM5SJ2SpA4vtmIWVhPPLhqPLgtl1bX7+exZ48Z4mR8/McuJcg1NzijNzKSfOxRyZ13iNHm9/WY833RBw4twse4+GHDql2XsiJpVDtm+IuPkqzc4NkhPnmpw8L1nqaIaJRkqYbsH6yYSljkenp5ieiPCEx/RESi2MuX9vyIWbNOunE84u1PGV5vSiZsO04cLNEV/fGxIEitkWKBWzrgnLPcFiT7BhQjMzESMljCLFUsfj+HmPE/MJOzcNuemqhG3rPUgb7Dva4PApwzPHU44vjnjDS5b57peNqKtpjp2d5tgZjzNzKWcWYk7MGw7MG150xTw/+84OGyenOT0/xfmFGnPLPgsrMLc4Ym5pyLYduwnq0596yUuvf3L3hdt+u98fzN949YXPNxS+6ce3DYObzvuQ4viEHj72P7oLX/8XywsnLu+0F0EEGBSplhgjMFojMEgDx87VeOiQ4OJtbS7fqQEfUEjp4SlJqAxzCz77TimGesClOzvs3qpZP+2xaTogECGL7ZCT5wRHzwqeOAbHzkbML49od1OGsU8tCFjfMmzdECNEymDkccGmGF8ZYi2I04DFjmQw8gk8gTCa9VOadZMpS52QzkAwTHyW+4JNk5rFtubEeUXND9g0A9vWR2ycHbJhdsSm2RHbNhp2bFJctt2nrpocPTHB158KeORAwhPHY1LV5Ttf2uatNxvqapYDx6c4esbj9FzKuQzchxYM118xzy+9e5nt6yY5MzfF3HKNxbbPUluy3E3p9lN6Q8GBYwvsP9G+7PED51929OTZC46dPv+lG1/ztujeWz/xfEPim3r8vWbwpeU2UWRQil+/+5FDN//8b39cfs9Ljtz8b9922ptb2sRSZ4LFlQaL7YDFtsdiG5baKUvtmMWVlHMrcHhRsH7dCr/y/Yu8aE+Dk+dnODPX5MyCx/lFw7mFhFPzKXPdhKmZIS+5qseLL4VA1glVyPmlGmcXPM4tCfojSBJNLdA0aynTkwkaOH4uodODnRt9mvURxggQAb2BZsemEYsrHhgrRVZ6MErAYFhqR2zd4NMdKIQyCD1iouazY/OQlb7g+BmPVHvMTkhaNUHoQ5II+iPJuSXJ2UXD+eWEMByCn3Dj5T1uvkKwfqLO4vIEJ8+HnFmA8wsJ55cSTi/B4UXDdZcv8Kvfv8ymqQlOnJvh3GKd+eWAhbZkaSVluROz3ElZ6hoWuoKTHVhZ6vDf/u0w+b43hF/zZn5ce/UrvibRP5/iE9Ymnm+oPOvj7y2D/8mHP8nNL76Wn/qpn/q1v/jUHf/2Dz96x0VPn2hfcPhMX958ZZ8Lt6SkqYcxCmMse2MkIAGBEAZPGAIJZxbrPHBIctXuJS7dPqRRA9+TBL4iCDyadUnDl/R7PvuP1bj9kYDjcyM6Scz+kyM2zi7xppcsc9VFXa67tM2xhYSFvqARDjlyxtDuNLnyQsnKMGXvMUWr4fH0cbh4i2EYpQzTAM+LmW7BvpMhykvxZYLnw2AkedGlfQZ9yVUXpXQGKcfPtNi1SdFsRKyMDBum+iz3OvzlHfDY0ZQnjg7ZuWWRqy/pMD0T8cYbu3z3yw27N7VI4ymOnp7k8Cmfk+c0p+ZiTs2lHJ4TnFiJecGeeX7l+7tsnJri5LkZzi82mF8JWGxLltsp7W7MSi9luWdY6sH5vmK5k3D9ZQu85x/PyZrHBefPntzV66c31CZ21euN6S8//PXP8Ad/9NHnGzJrPv5eMviff/STXLp7s3rwiaP/9/GT537hkSePqTMLEfNDj7N9zVU7z/NbPz7PNbsbnF+cZrHdYKldY6nts9TxWO7CcjtluZOw1E1YaMPJZYFXH3LTFUt8z8sjdm1ostKbYG6pzvxSwEJbsNS2EmG5q+kMNJ2RoT9MmJ2I2bFRA4LQN5ya8xEyZOcGxa4thi0b+pxfHvH4wRYvvNjQqC/z1KEZWs2IKPKZndYMhnDZjiEfuWOKS7YnjEaGdZOSOB3QqoU8fWxI3W9yzZ6EJ45EnF8M2Dobsmsz7NgUoVTMqQUIfIMQhp0bE6Zbku4gpNf36fR9ljqKpRVYbGuW2ikL7ZRzbVgcpuzY2uN7XrHATZd61PwJzi5MsLBcY2HFY6kjWG5rVroxy92UlZ5hsQfnuorzKwkvuuQc7/3xRS7e1mBxZYKldp3OYAqvvjutNTf9mgwv/FUdnUlvfvk/fr6hs+rx9wrgB/YfoF6v1U+fPrXjoUeeeufR42f+44HDp4gSSWcAywPBXF9xpptw3YXn+K8/vsTVF9aZW55mcaXBcqfGUsdnueOx3IF2V7PSTVjuJix1DOfbgjM9A6LHW1/a5o0v0ly4uUYUNVhu11jpBbS7iuWeoNsXDEeGKDGkKShpCH2oh4apCcOGmRjPH3L4bMSTh0J00uT1N0R4/goP753kgs3whQcSXnplyFx7QM1TJGnMzDQksY/nJywuNnjJtR2+cF+LXZvhoYMjfBq87kWaRAx48nDK0VM1PBmwcdpjuimoh4IgECgBiYYoNgwj6PYNKz1Nt69Z6WsWe4ZBmrJzW583vrjNW2+OQLdYXJlkbqlu9XbHY7kNK92Udi9hJQP3Uh/OdhTznZTr9pznvT8+x+U76ywsT7HcbdDuhbS7Pp2uoNbaSr216Rc3br70r7Zu23piNBwOLtpzyfMNpeLx9wbgJ44fZMOGdcHBA4d/cP+BQ7/3wIOPisXlnhxGhv5Q0xsaOgNYGUjmBpKz3ZgXXTTHb/7IItdeVGNhZYrFlSbLnZCVbsBy12OlK2h3De1eyko3od3TLPcMc13B2bZmeqrPd1zX5cZLE3ZuVEzUfTrdGqEvAUWUSLQWaAP9ISA0060hB08btIm47aEmo36di7YG3HRVn1ivcNcjU1xzsc/Bcz3ayxO8+Ko+X344ZOOMYe9xw798S4e9x0I2zkhuf0Rx02WKpX6HIydnuGZPxF1PDkhGDW68PGD39iGDpMetDytIBYdPeUw0PDwB/YFEG0GqDXECSI0XaNo9Q7MVs33ziJsv6/MdL0yYbdY4vzTJ4kqd5Y49NssdQbsH7W5Cu5fQ7qW0+4alvuRcV7DQTbjhknl+7UfmuXpXjfmVSVa6DTq9kE4voNP36A8lvYEg1jW9a/eVZucFu99z4e6L/mRhYT667NK/HyD/ewHwJElkNBq86ZEHbrmo10/fe/8DD/v9IVhwJwyGmt5A0xsZugNBeyCYG0jOtBNuvGyOX/+ReV64O2ClM8n8cot2r8ZKN2Cl59HuKtp96PYMnX5Cp5fSG2jafcN8TzDfgzgdcfXFAzbNpPT6hje8eMQFmzRJKvGkIYrhzsdrnJirsXk64anDNdANLt2muPYSTVjr8/DBPvMLTa64oMnE1DL3PeFz/cU1FvsrLC9PsGmT4YG9in/6qh4P7vXYtsFnoddmeWmGay/rc99TKTP1Ka64qMdcu80Dz0xR95pcd4lhz44hyB6PHxVsmIk5Px9z1+M+w1ghJaTacMHmiO94cUS3p9gyrbn2YoiiBkvtBkvtkJWeT6evaPcknR50+imdnnVLOn3NSt+wNJCc7gjagxE37ZnnV394mesuthdHu1un0w/p9n26A49uX9EbSnpDQbeX0unFXHPtdbE23s+88+3fdajZrH8u8H39fGPrec9kjoZ9oqj//cePPPJb588cnJmfX6ZZlwhhA0UwYOx1KIS1AIUwSGmQ0uPBAxv5+Q94vOWmJd71qiV2bY04tzhBGNSphwGN0KdZ9+jWJa2Bz2TToz9M6Q1SNo40g5GhOwxZmq9x6qQhSjSnzyWEoQEEgTJ4UtAfKAQ+Sd/jBRcIdm8x7NjaZ5R2+eKDin2HpnntC0OuvWyZD33REIgGF2zt88R9iq1TinUTfWqqThT7zHWhWfPYtlHw2L6Ia/fUefk1C/zp5wcEfovX3GDwwz5feSDiC/c3eeZonQu3NLhgc8r66Yhd62KuvCBFKY2n7DFqhCHrp0Ki2KfbD3jqoG9LFAYZEAfQGxp6ffvdu4OU3sDQGRhWBjDfV5xfNjQm2/zk6+f5xzeNuPrCJmcXJmj3anQLcCt62b/ZHwoGQ8MoNiSp4O57H/Qnp2Z/a/PmB5de/tIX/Z/dbv9PW63G/7oAj0c9EPzwySNf//VDT98xM+x1CHyfulbYm4vIPmKKEGSb7aRR0qBkSiAlTxxcz6MHmhw8M8dbbu5x8+VDploTLLUbNDs1JgYBvb5nT85QMhh69Ecew5FhGGmi2BDHhiS1W5QEGA1SCXxPUAsEUy3BdAs2rdNs29hn3XSbLz0Mdz/qI/Ukr32hzwsu7XLvMzHRcIKbXiBoDwbMLTa5cY9m3VSfuhcyTBTznRilBS/Y49FojXhkf42XXTvJi6/u8sh+BWaSF14e8EPfucSXH4u4/cEme0/U2LFesWmmznSrwWQL6iH4nkFJ0Ab2HhWkqSBOBFECoxj7HUcpg5FmONL0h5r+SNMbQGcE8z3JXBdGesirr1niTTe3+Sev0STJBOcWmnR6NbqDgN7ApzdQdAeK/lAU4O6PNMNhyijWjCLD0eNn+dgnvjgzGCX/+U1veLnX6fU/MNF8/kD+vAE8Gi0iRPpDc6fu+vXzx76ywaNHsxGgIgPkd7bc8lMIIZCSDNyglMFTBl9p6r5goV/nY3ds4yuPdnjplSu8+9UrXLmrx+xUg8WVBt1BSH/gZ8BWdosEo1gSJ4Iksbd6W7tlg0rPg1oAjbpmphWzdUOfhB4HT8f85V01jpxsMhXWuf5yjxuv6vDAgTa3fX2CGy6usWNzn4/cIVAiZKIVs9IboQ0oAesn+nS6ATqp86aXzvGxLzTYfb7GG2/oE8WL3PXkLHFa40WXb+CN13e4eHubrzzS54mTDR4/GrBtRjIzIWiEgsC3F6HMLn5tQGtDnGQXa2wZdhhphhEMIugOBcsjwVIXhDfkmktWePd3rPDSy1NmJ+osdxq0u3W6/ZDe0Kc3KO8E/ZFkMIR+duEMh9nFExlGMaRGcepcmz/92O0bukN+/bv/0UvMufNLf7xp48z/GgA33V+iu7IH3f7YD/QHo/f25vetC1SfVrOGGib2REHB2IhcrkiU9JAyRSmR3Z41vjKEnqHuCZaHisX2NB+/s8n9T/W46eoV3v2aFa7Z3WY2rZMkIf1hjd7AZzDyiGJFnEiSVJJqgTbCZkGFIQw0jVpCGEQE/ojTiyM+/5Dk0KmAo6emUTpk9+aAy3YpXnhpBxXO8+ThFlunGlxxIWxav8xSZ4Irt0oSbfjSgyGjvmSqmfC6Fw353F0xJ861uOQin7MrQ54+4rN94zRX75rn3ie63Pe0YBQFXLprhku3h1y6rcvhs0scOg0P7mtw8EiThicIPUkzNNR8kNIeO2PsxZqkECUQpYLeSNAZCjoxRDpBmyHXXdzh3d/R4aVXpmyeCRkOJ1ls1+j2QnrDgP7AozdU9IeKwUgwGEoGI9s3Ohyl1uPPZN4w1tkdEYaJ4tzpDu/7yFc33Lfv3HtbzSD5xff9zYf27zvEX/7Ov/mHC/Cf+k+/C833Ea18zz8JksO/Y3rnp0LRpFlvIGWUaWvLREIopLAnTUmBUgJPqexZ46kU3xMEnibwDaFvaAQpUzVBd+Sz3Jnmk3dPcMfjQzZO93nnK9pcun3IcNDjil2G7ZsUo9gnTcs0v8Agpcb3Uo6fNxw9J1gZaD57b4PTC9OYyGe6ptgy67Fzk8eFW+GK3R20XOD9n2uytDTJDZd6XLG7zVceF4jEZ8O0pNlI6McB0kgwEuUFtIeC80uCy02DV7ywy9ceqbNlXcANV8zwz79zgT/5QpcH9zfpDX0WV1rs2lLnks19XrSny9te1uXM0hKfvTdksR9y/KzP6dMBvhJIKREItDGkGmJtSBPN9GzMVZf3GY1iLt0+4u2vGLFhUjHTConjGmfna/QHAf2RvcsNCmBLC+6RYDjC3glGKcNIM4rSDNSGYWwYRDCIBP1I0E89Tpzu8PTRu9dduWvqd268bnP8l7/jfXTp1G8ws+3n/uEB/Md+6Q9o7XyN+L5/m75j2/TeP3rXqw40rtwVkGoPg7SgJge3j8zAboNJiZISTwk8lT17At9LCTxB4GtqvqEeGxqRYbKWMl0X9CNJN2py9FST3/zoDOgEkSS88Ko+uzZFJAloozHGJnGkEEgl8PyA/ScC9h6q0ax5tALJuoZg/axkw4zHlvWKnZtTLtm5QioW+d1PTXD8xBQ37PG59IKUQdLl60+GTNV9ZicNU62IRt1KIa0l7aFiqWdYbKe0e3VecsUKD+3ts++EYmqixosun+JH3rTI+z4Njxxq0hsYVroe55cm2LSuwYbpITtnh/zUO/pMNNo8cRT2n5T4vkEpgxAaG5xbNk8SuGBTyk1XJqSxT5yEGNNgGPmcWwgYjOwdbRipQr4NIsFwJBhGlrVHkc3KjkaaUaQZZpp7WGwwjAX9WNCJBMuxpJ8k6OGQeHBq6i03LfzR+1a2J0y+5uPJwm8Yb93/PyD//wXgP/ofPsbGbdvVgcfveOuBI+c/9OcPn6s9tneW33xPm0t39B1gG6QMsgDSRymDkgqlVKa3Jb5nNWfgK0a+ZBRpwihlFBvqsWYUa6LIMJFgA58EokQwjCWjNCROa+w71OTxfZAag4W21ca+hEDZmo9WCFdshok6TDYl0y3F7JTHhhnYsWnE5vUrxGaJ3/3UJIePTHLthYoLt0l2b1vmq08nnF+c5IW7JNMTmlowIJQhRgmSVCKMIUkjlns1zi/6XHtpnRfs6XLvIzU2TgsatRbX7tH85FsX+Z1Pa54+3WKlp1npKuaXPdZNNZmeqDM9MclEI2Z9M2bntRGhn+B7CUqlSGGDCYO9qOJYMTfvESeKOFFEsWIUZ8+RZBRLRpFkGElGkbABaiQYRYZRpLMgMiWKMk0f2/dzYA9j6MeCbgbu3ihBD3u8YFeb33jPCq97welG3Es/lPTv0UN91ac6p9+XTmz9l9/+AP/F//wxZlqhOnz88NsPnVj60wf3zdVozfLF+wf4nuBXf6zNZdt6KKkR0tp/Suls81HS4CuD7yl8z+BHksAX9iT4glGgiGIL9Dg2RElqXZHE2VJIUkOaalKN1duaAtxCgJLgSfB9CD1BLRQ0QkmzoZhsSKYnBRtmEnZu6tNqrvCpr0Xc9eQMKwsTXLVDsXOzz8Xbh6RihS892KDpe6yfVrQaQ548DM8c8bhyu6E/Ulx9ccxVuw3nzqbMLwcMhg1ef32Xe54YcPC0olmXhMEEV16o+dUfWOTOpwd87s51LHYMOzekLLc9piYUk02fVsOnWTfUQk0YaEIvxVNWasmstdIYbMJKCxItSVJBkgjiRBIlgjiWjGLrvESxIIoNUQSjOCWKNZFDHKPY3Sy4Bxm4O7GkHUN/FCHjPtfuWuZXfnSRN9yQ0h9MMYpO1Iw/8+FUnvhnI7HhE2cPfjDdfPE///YGeCtIZafTftepE6d//+CBk7VGs8kg1aTS52/u84gixdtf2eUdr+4xPZHQlSmeDDOdbfWw73n4sUfoKYa+ZZqRL4kCQRQLe3JiRZxAFEvrICSl7ZekmjS17kJqMqckc0tyd0ZJK3sCTxAGklooadYFEw3DVEuzcWbE+ukuiVnh4/dI/uQLs2yo1bhqh2DHZp8Ltmh2bl7mU183LC3VuHSTYnoCWo2Y88ckc8shwS4YxYL1k5KpKTh41LDc0ZxbqHHxBTVe9cIun7+7xmwLwiBAySmu3C340TfO4cs5/ubeaZ45XWNjJ2bDVMJkU9GqKxp1ST30CAMIffA86zBJAVI4IMde2KmGNBUkKRnQIU4NUQJxnFpSiDVR/hzrzHbMXZnMgkwEg1jQiwWdRNCNDNEoYjLs8D2vX+Qdr+jxHS80dHotRlHIKA4YrZyoEbT+SPgNDxH8BaVl9u0H8A9++NOkqf6Be+5/5r8eO3JyYmNT0Y+1PRgiJJKKLz3o8/Wn65xdXuRfvm3AzETCMKzT6dfwVIDv+fieTxClRL5HEFlpEsU2lW4ZR1gmylgpSSBOIU2tk6C1Dbi0NnkPZwZuC3AbuAp8zwKkFkKjpmnVE6ZaCeunBqybXuFr+yI+fFud/UenuGDSZ/cm2LYpYNtGuGRHh37S4YG9E9SVz/ppxVQLplojpicTgsBDCHtxDUYBS52Ylb6h3UuYWw7YsanFiy+d47YH++w/PUEjjPFVgBCT7N6q+L7XLHDdJXN8+LYWDzw1xWLPY8NEwlQjoVGT1GuK0BeEvsT3bayiFJl9aFFusD2sWlMAPUl1dnfLrMVEk6QW3EkMUWLKLbauzDCxpNLPgZ3AcJig4yGzjQ7v+e4l/q/v7dEIA1a6dUZxSBQFjGKf0cinv3xqQtVqv9uauSp45tHP/snl17752w/gyyttlJQ//IEP/fWvnzx1arYZCrzEoISVAoEUdKTPQEpWRh7/9a989h5e5k0v6/GKa7psXBfR7dQZjEICPyEMfEaRRxhYey8HeBxLosTeduMk87RTMuuPjLkl2lCC2yYpM+YGT9mESeAbaoGmXkto1RKmJ0ZsXtfhfLvP733W50sPzbC03OSi9YIdGwRbNwRs2yDYtWWIF6zwsbs8jpxssmejZLolmWymSDni9Lwh9CRSgDGCKPbYuaHDg6R0+orljuH8Up0922q87RVtPvGVgGPnQ3wvRggfbZrEieSFu5bZ+b0dvvRIn498aYaHjzXZOi1Y10xp1lJqgSD0BYFvYxVPYQNnKYqaDIO9yLTBOi2pBXwO8iS1ks6CHaLU1rpEefIoEQwS6CaSbgKDSJP2R2xb1+Hl167w5pf1ecP1Gk80WF6pEcUBozggiu35G0VZMNs9O+vVLnzvlde9RQ0HnQ/U6v9zasr/pwB8eblN4Pn//Iu33/Xrjz3x9AZfGkwgskDSOiNKCnwp6EpJT9ZoRx4f+2qNO5/ocu2lHb73NX3eeEOb2amQwTBkMAoIfZ8o8YlirwiUkkQRp5IkkcSpIEkkaSpItSi1thYUqsRY5pbCJotUliwKfE0YpNTDhFZ9xLqpHoN4wFeeNPzlVyd54KkppgOfK7caNs9INs4GbFkv2bYx4sKtyzxxbMBn71nPpPJYPymYaAomGjHtfsoXvl6jFdjvrg0MRh5vumnELffbmph2TzO37LFtQ4u33NzjgX1d9h4MaIYJSgoLct1gGFmt/32varNn8xwfu7PDfc9McWK5zqYJwWTN0Ag0NU8T+OApgZJkCbIsr5BBXWdSTevyDpdkQLcEAXEqiNMM2KlgmAj6iaCXYmOeKKJZ7/OW1y7xrtd0eOGelI3TPoNhk04vyMDtE0X2nLmBbRQLTp3Yt6HW/PqvX3TZS3S/1/lgo/mtB/m3FOBLyyu02z0MfP+tX7n7v3zuli/PLi218f0sA5HXkQjrWniZc1GT0JU+fV9xqhNy5v4G9z/Z4xNXdXn7qwa87qYhM1MB0ShklPhEsU+ceMQZ0JNUkaRZwiYtAa5Nxty6rCnLLzIlbR2H52kCPyUMYuphRKs+IGXAlx+RfPSOKZ46OomIQy6YNmyeMqybUqyfCdi0TrJlfcyOTR1Oznf5g881SUZ1tm0TTLU8Jpow0YgRfkRn0GSqZRBCYAzEiWQmVCQ6oRsHdPspyx3F6fk6l1/Y4se+a4X3/kXI8fkmnoqzC8MjSWoMI8mm2ZAXXtThqgt7PH38NH/51Tq3PTzFmXadZqhoBdD0DYFn8BV40qbzhahW12nAaHvRpVqQGkhSYf3zVBClNkk0SAWDFAaJIUkSdDxitjbg9a9e4Z2v7vLSK2Mm6z5R3GS5bbV2nHhEsZ+B2SOOFVFiDYEosecrGqzw9BNf3WCM+C+791yfrCye+TM/bNJofuvmJ35LAd7vD5iaar753vseet/nb/nyRKfTJgwUSZrrXoEU9mCrzOP2UoMvBYHS1FNBXwX0E4+5UY2/ub/JXU/1edHtPf7Vd3e5bEeHDVOKiYZHFAdEiU+SlCBPc4BriTYSY6wkMEVAmaX6lbFBrJcQBgm+iugMYuY7Mb/9qRpH56Z5ZO8URgfM1gUb1hnWTQpmJxSzUz4bZyWbZhO2ru8zO7XMlx7VPPzMFFdtE0y3JK2GZKKhadYjhD8iDD08Zf++MZCmksHIYzCMSbSgO9B0e4aljs+5xQluvKTHiy9f4WO316gvKTwZW0AajyQNiGLb47luqsZ1u3tcd1GPB19+huPzkg/fNsXcSoNTiyGBkjR9QZDLMGmKTLFNeWZSBcvkiREkGmItGKUwTCDSBtIEkhipRmyZHnDVTns+rr8sZaLukSRN2l0L7CQDtr3DeplTo4qscZzJyjgVpEYx6nR44tE7ZhHqfbsuunZ5NBp89luJyW8ZwPftO8DWLZvUn/7ZX1z09N4DE71em1rooTVFNG+TNxbkOdDjVOArQ5AYaqmgoQQDJeh7IYPUZzGqc9vDk3ztmQHNcMQ/e0ObbbMJF2wZcOMVXTxhW8SEsHLFZiVtrbQxDnNjENKghPXMDQnIhKePSh7a5/H5B1o8faJFlDRoeYr1dcNM0zDdMNYHn/CYmfSYnRJsmknYsn7A5vXL3PXUiPd/fgObpzzWT8BEUzHRFLQaCfVwxNcOKIaRh9+0oDJGECWSmqe4Zs+A+5+csoVPg5SVjs/CSsj5hWl+7I3nObWwyP2PrceXgIjRUABoFEl6A4/pVo2piSYv3tPn5Vf1+d5XzrPvpOaWB2o8sK/OgSNNEuExGin6sUIVpQ9u4JnlBIwm0QajNb5ImQwiasS8+NoeuzYP2bYu5t2vG1EPJM26TxQ1aHeD7E7qZYSjCq/dbnKNTVirMhVorVha7vDYw1+bOH/+/EWveu3b1Ynjh9MdO3f//QH4vn172bRpXfDQQw/9oCD9r932Eo26j9H2wJUZSWFZWwpUgpUIqcFLwJcCXxvCxFBTgkYqGGkYpj6D1Kef1uh2U/7Lx6YxSczG9UMu3zFkdjLh7a8asGNDRByLTG9LcJibTH9KqRFS8Mk76zxxuInwPI6faXD6fINaXTEZCqaahomaZqIGrbpgsqGYaCmmWx6zU7BuKmHj7JCtGzqkZoVP3jPBoNfk4m2GiYai1ZC06ppWLcH3I750f41RX+JvsKVjuURp1hWvf9GAux/V9EaS3iCl0/dY6XqcW2xw2a4Wb39ph0eebnB8qYWSGogzvewTp4pRbBMzvaFHuxfQqjdo1kdctm3IDZcMOTnX5tjZFTw/5fEjHp/4agOhbOEa4/MHjQY0GEMcpezcmPDOVw1YN5FyyU7DxllIE59R1CJJfJY7PkmsiFMvi4MUcWzvpHGisphIZrU+rgFgXa4c4KkWpKnk3NwSk7PJf33i8Uf6mzfv/JP9+/ZGl1x62d8PgJ8+fYrFxfk9p06d/r3HH3tYBr7EU7bgJ9WGVJosO2nwJCTSVuvF2jorvrI+rJ9CogRhaqhpW2McaUOUCkZaMkolkfaJNcz3JvjqExpDymcesCMbMDrb8ixeZpGJvCJRIpUiiT2k9vA9SSuEXesNTV/TCDWNEBqhoFmXtOpWDk22JNMTMDuZsH56xJb1XVKW+e2/rnHvkxvYPQvTjYy9G5JWPaFRj2g2BtTrDUIlUTLT4Fg5EMc+w4FgMErpjhS9oaY70LZlrhlw6vwkL7l8xE++4zy/9QmPEyshQmiMidGpIU58olgyHNky1tbAo1kLaNRrNMIGtTCmVY944cURgR9z/cUJ7351H08lWRJI23p7V5Rnkk5riRCS0FdAwHDksbjs2bqdNI95si2RZQyUZFtqwZ0DO08s5aBOcg++ADkkieH+Bx+So0T+XqfbvycajZ76VmDz/zPA77j9M0y2VP3osUNvPbj/kKiFXmbPmcJ6SmUJ8kQapDKoFFQKqbIRu5fa3sckj+jTLKrPI3stytdaEGlJYiSp9oh1SJrZXu6jyFIK8ISwmUoFtbqh5hlqKiX0IfSgFhjqoaAeSBp1SaPmWYA3BVMtzcxEwuzUiA0zPbZsWOT9n9d85LaNbJ9SrGtpJpqKVkPRbECjntKqx5xd1Bw+G1IL7AUNeaWfYBh57Nqk2bRuSGcYMBiajMUlK12PVr1GqzHFu189x5Gz5/ijz27Fkx4GTapTEm2IE49RpBhEtiiqX5M0hh710KceprS7NsYI/NQmzPwUT9pGCSltOj8vkbClK7YG34Jc0NZZlaW2cU2aSrSWJLqMdyxI8wA/33eeE5G9bx2ZNAe2zvcpwB7F8Mgjj4sLdvXeun37zsN/9fG/HrzzHW97fgFer3nByvL8z3VXzv+cMENZr0nixIJSVUCuSSUoBSoVpJk8STR4qfWr0zz5oE322hTvlftlpZz1ckURKLmaGxzdL8CTGk+S1bSArwS+Z6xv7AlqoaQWSOqhol5TtOqSVsMw2UyZaiXMTIxYN91nx8ZFHjgw4mN3bmG6FrKxpZloCAvuuqRZ0zRrCa3GiAf2w+P7Gly03mS6t0ybD0aK6y8xXLxjwINPTdEfGQbDlN7Ay0Du06jVqdem+J6XLfH4gTnu37sJjELr1JbDJoYkNkU9yWDk0Rga6jVFLdCEgU8YpISexvNSfM9mh5WyDSNS2lgIYRCUeq4Mzm0Jsc4dKZ3br44VmwNbZ2xcvKYAdsHUKQWwC3Bn7G2zqtDr9+SJk2f+7yCoBc1W89eA6HkDeDTqyyga/vJXvvQX/2d7+WwQBh4iyTxmKUiE1dyWwS2oU22Bn6bGglxn+9o20OqUYj/NM24mz7wZdJaJy5MVxhiczHvljlsEt5lro2SWsVQ4RVs2+xcGilqoqIeCRl3QqhsmGimTzYSp1ojZyQFb1i9z//4Bv/ynGzlxaooL12mmGjBRVzTrimYNmrWUei0m8Ie0h7ZYzFc2/sgfqbYMFycBE/WYfqLpZ3XW/WFKty9p1xWNbkgtbHHBpphf/cE2//5Dkq/v3YhBoY0mTTVJmhAlmihWDCPFIJTUR4paIAkDQxgoQk/j+9bv91Re65PV/WQyJa/mLB5Zat9kJGKyWpY0A3yqy2dLRjJ7FiXAs/2CtdPMrUnzLGp21051lknVJBqOnzgdhLXGz/zoD3+/3+31f7HVbPyd0/l/Z4AP+h2SJP61fU/d/W+WF4/XgkAiEntkZN59I0GmAi0FicqBbNDSFGBPU4PO97VAa1OkkXXh0YLRxnaRZyWg7sYYwMv2tgzcIq8pt3aZl7Wi+Z4kDOwAoFpoRzLUQ0Ozpmk1UiYaMZOtiJmJAVvWr3D/vj7//k/Wsf/EDDtnrMPSqkuaDWnZu25o1FIatZg4jfjz21tIpfClzeAWDG7yW7jP9712mVsfjuhGIf0M4L2BottTtEOPWhAS+hNcsj3hP/7QIr/0J4L7ntqINpJU27R6nNhCs1GkGdVsuWsYCmq+IAxsZjPwTJGx9ZS2MlFSlCUXAC9TnkBGIthcgnVbskA+B3A2dUAXyTUydqe446YFoCmzppmMTbMiOLduCCT7Dx6rffHWO/+P7/rO14iVdufnpyb/bkmgvzPA584dwRjz4qOHHqunSYwnJUbZo2L9ZpExOVaaaGFZvEgP5+Aug1HtMLTdpwC8tf1Mxtrk5c6Ysc8lKDOVQpSZvJy9PS+vO5H4vrT1G4GgFtqZJ40wpVm34J5oRkxNDFg/1eaBfX1++YMzPH18HdumBbNNR5rUPJo1W79SryXUwwjfH3F6cRpfCVspKTJ9S3Y3SiVJotg8bUiSmE5cyzplNINhSncoqfcVtcAn8Gv43iSXbkv4j/98nn/3x3D/MxtItbQATw1xkmZMrhmFmlokGQaqkGC+D76XOVdK2lxA7m4JbCWnKI+hSxrGZJlgnbF6Lg+z5FCeLU5T531dSs5CfqamuBOnuiS8CtCz8z4aRdz79Yfrey7e9WL5/2HFib8TwB9/6FbiOG488+itwWiwYh0TkYM7lyVkIw1EBuLsi6YW6FobUo8C7FVg5zLEFEA3uRzJ95/ls0lRFlHZu4gowK2kzBolcnkCNR/CQFOvGeqh1c+NesxEI2KqOWDddJuHDw75pQ9M8+Tx9WyZUqxvaibrglZN0qgpGnVBvWYvDpvqj7h/r6A3DKipPKllNXjehJBqQZx4NGuKG6/o8sDTE/RjK1MGo5T+QNENFWGgCPwg089TXLZd8xs/MsfP/iHct3cDsZbEWmfN0mUP5iiQhIG27O2XdfSeyjcymVLKOJlledcCeZ4UMjnAM8CnhfPCmndencVSOge1Ns45d1i8+Ll9DyFZWlrho3/1N8E73/aGxic+dUv/7W/9R//zAT4/d5yZdVunHr7vM38QJ8OXCZGilCxS8NJkQBb2pOriQwtSSQH2/CrXSqzN2g6gdQHssimYTHsXJ0PYgiIhM3BnRUaqADiorGLQ9yDwsZ1AQVZgFabUM3nRqo+YbA2YbnV47NCIX/rANI8f28CmKY/1Dc1kHZo1QbOuaNQVjYK9U2phQqsx5K7HA1baNaanyzR5DhidadM4VWyYVbz6BT3uekjbLppIOyCX1HxJzffwvQDPqyOl5rLthl//kTl+9g8N9+3fQKw94qwC0Ja9WiYPY1lUFwaexPOyIiwpUF5+bCg+X34R5lJF5FVplAmh8U07z1o7z8WdtwS3LoCO8xpSrSsMX14gKf3e4GX7Dxz943/2fW//8UOHj61ctPuC/7kA76ycpd9d+NmVxWPvioYL+J4PxqCl/WBSG5QQmSwpdZjV2flVXl7xufxICxlCwd6VQHKcuU15x8hBnucvpFPjrVRZMegpbH2GZ/B921hcCzS1IKVeS2jUYpq1Ea3GkJnJNo8cGPFzf7iOx45sZMOUz4ZGymTDZODO2LsmqYeW/WthQiOMSPSIbhQilMTPGbzQ4CI7eVmBWOzTDIa2XCCqMZ2DfJjSDyyDh4G0NfFevgCt4coLDO/98fP89O9r7tu3kVh7jFJBlOqMxQW1WBP6hsC3vateFnd4ypYIKymz45N15efPTmFWcWG6sc4YuAsScojJBXcBZFPul+DOwZ8RX/H/2r9/+twiz+w/+q777n/08CiK/93/VAZvL51kYnrrzgfv+uOrov5paqFAkBaBkzbCam0NSpsyCNEm6yjJi3qcKzULUkweTJoyECuZosxKGveembO2G1Tmt9usQ0dlwZTnZZ1BWRFSXj1Y89NMN8fUayOmJ/pMNrvcvzfh59+/jkePbGT9pMf6espkzdDKwF2vWTsxB3c9TKkFCRPNiL3HDHc+0iSQEl/pLIgrPYr89h2nikR7vOKFMRdd2OPwiTrrG5R9jqOU/jBjYU/heX6RMBPCcMVO+I0fXeDf/aHmnqfXM4zrNhmWGBpZDXfoY0Hu5XcvXfS2SpUWdzglhQNw4YCcVXqlBLmpAryoUCzvvGvdmUt2Z4zRyztAfsfQRnHoyFluv/Ohq37xZ35056Ejp45fdOG2bz3Ae53TBOHUBedO3PffTLLwZkUXFXiFTacL2wiUkWXgUdhLBp3mckSsuqXl/rApPO0xl2SVW5JPuxoDtzBIlduCWfZUZaztGQJP4/ua0NeEQUItSKiFEY3aiJnJPsvdPnc/Bb/x0U08cWgd6zJwT9UNrbqgWROFV26dF23ZO7AAr4cjojRlOKhRU/Yik0JUKvnyRIoNND2r5b0Ro8gwiIUDcE0QpAS+h+9LO1VA+gXAEXD1LsFv/Pgy/+UvEu7bN8uZ9gTDpmQqNbQSQy2bOBD6JvP+cyfFFOydS5Uc4MXnzT60i/NCIWYnJb+rluCuSkpbzVll5hLoufVLRZrkv5ODvL/c59TZpTffcut96ctuesH/ceTYmWMXXrDlWwvwfvsokV+/obP41FtH3b3U6yFaJ6VHasraa8vQsmDuwkpSopAkFtQiu7Xld4CqFHEBnh9iVxXmJ8GOe8jZ22TyxDjDgWxZrO/pbMxEWoA7DDJwz/SYXx7w63/e4LNfX89Cb5r1k5L1tQzcNau7G1lgWQ8ljdBkDG61dy2MgIg7HgtYjgNmQyr12IjqHSpNbfPDROjxqmv73L8/ohuHTBYd65pgZGvVA88C3FO2IVtIm6DBwKXbJb/1rzrccv+AX/vgRk4tTDOY8pgKBK1E00ggjO3o5UDZgUZ+HmhKUQTB+bMbqLsXphBFr0hxfmBMQrrAduIn7YDfzWOsArkZIz0DqVZ8/eFDbNi46a3NVvPPu93BsW8pgydxD+U1Ll48/dV/PWg/Sr1m0CbJUriiYO8865UagU5NCfqM0Y2rtQtQ5xLElDbUOGu7soR8IJA90LLoxierUMwArgyetMC2vZ22vzPwUwI/oRbEhEFMqz7A8/rc9XjKH39hgs/fu4FIT7BhQrCuZmWJtQBzn1xlm8iY22XvGM8b8bVnpuhHHpsb+ecZZ/D87iaJE0XNV7z4sgGJtgAfxMJ2reed6yNtg0Mvmw2T2XsiS64bBOumBO96ZY9WeIYPfmHA3c/Mci6u069JJhJD0zMW5F4WhyiTxSUmA3l+DEVZOy5BUrL4+IqChVTJR1Qwrs3d7qGy9jxn9DynUXFditdZrJK9TvC4/Z6nueaqPf/6Hd/1kkfb3f7ByW9i7uE3BHgyOED3/Kfx/KktSX/fywNxHlWrk6YxSVabYJMOY0BXLuhdsIuqHMm1NlkyoQJsx3pw7SthxqRJnpWzFYN2tJvOar4zcCtbixH6MUEQU/MjGo0hQdDno7d5/OafbeDw/Ax+WGNTSzATpkyEhmYIzazDvh7abGctSwjZ+pU0uxNYebLQSelFAYFSBNIUASbOVylOXlazESU+dX/IpqkBK/0Wg1hk49ZsrOD7aWbzqczuVBbglcDVVj6++aU9rr98nt/48JCPfGk9S0mTfujT9CUTnq3BCT0IFEUzhJcnfbI7nyykSpkAckmlKlZcoFO5A+sKq7vavLrldmMhXTOwp6ZMFMVGMXemwy337n/5XF9vmVtoH3z4meNcd/nO/48MblImN7z6glH3sfeb4YPUailJGpGkCpU3FzhFOS6TV/ZNng0TTgBZBpgG4UgSMSZNcnCbkk0kpTWZA1walNS2JNcru/ItyBMCz0qSMBgR+gOOnU/4o1uafPqeWY6cn2ai4TNTg+kwpRWaLPWeg1tm4JZFUqiWae8wsBfORHPEp77mcfB4nVo2gatoF6NEeTHGwVgdHicel+6E77y+yx9/cZZew2Mimz0SRlncoDSeJ7OxdTgg951zZe8KO9ZJfv6f9rlq1yn+8PMzHDk3yVJSp+97NJWgkQE9kMZeOJnLVNz98uOa24dYfV5mOs1qnzwnJmOqTI4ry7J9V4o42enUeT/VebrfNmJEKfSNz2fv3cfNN1zy/n/21hvfcH6h8w2lynMC3JgBUCPpfmWbHjy4WzFHGDRQSYySmlQqkgzgudbOyy3zcWilSyIKQOvs94zL3kYULFCyQk7bpqIDc2CLrHFC5vNUpM5ck5y9U3wvsZ07XkIYjgi8Ed004vc+HvDBWzZxenEKrerMTCpmAsNkoGlkzN0o0vcyq1PJpEnmnRfgDmz2chRHHDwV0otCpsPMxcmTTrkrkWdh85OYSuLYY6LpsWtbhAqHdKMWg0BQjw2jHOBemiVqlPWxZV4CvFbwqlg/2efH3tznra84xwdv6fBHn5xlYdBk4NWoeYqGJ6grW38fZN0+Soosu0l2NzRrMzlryJVxhwWoxFI5eB0iyyVIfixcSZJm3UWJydrmNPQRdM4v8+V7nt4d+sG27/+uFx07M5+wZf2zw/g5AX527gxGTK33Uu/jreFtfhB4iCTKBlRqEqlRGZh1KjO2lmijC+YuGFvnzO0AOwN8ydgCs+YnMY4daApgV+SJzIcFpRbgXoqnUgI/phZEBH5EexjxtSckH71tgk/eM8swbREEAbOBYCrQNANDIzQ0ghLctVAShpIwkyY2MZQ5ExnAA99mPo+eNdz9cIMo9gmbZlWAmT/KdLY9XlGs8H2PV1/f5WNf7rH/VJNBzY5mGPmGIAE/1viRRilpfWspkEKWw30oj2eqJYmWNEKPjVMDfvp7+ly2Y8RHbmvx0N5J5gdNhirA9z1qnqAuIcwHLOX2qjRFuUUJ8mrNynhxlsvoOUGNO2L56zW1trHATk1ZFj0yMNK2L0DrBGTKp750l/8v3nn1x9Nk7gUk3fm/M4NH6SZ578NP3PDII5+b/MXv6eF79ezqNUjlIVNNmkprC6pcj5dSpZQjVVlSbDmwM4niMnil8Mf26FgmL1LKuij3tLrb4KnUAlylhRzxvJh2L+bepwR/+sUJbntkkqV2C1mv0aorpnzDRKBp+IZGYKgHZKxtmbseSmqBohYIagFZhZ7OwK0Jfau/lTfiwCk43a7ZxEqmb6uJk7J+xvZBiuxWLIkij40Tgou3D3jyREI/9hllM76DCAs+lU/WzRM1MF6nkV88uQ0Zp7Y+/J2vHvC6Fy3zlUe7fOhLEzy0d4LFboO2DOgFHoESBFIQSmwPp7Sr1ClRXqRKZGW/azD4qvqVcSZ3CE1TlSgaR3MbQZwztxFE2s6PtDn/CPSIVLcJo49MKvPWGzZvuu6LPMfwoOcE+P7Dx0Ilkt/vdfY3vcCgiMHYxt1Ea6RQKCnRRmWgznohtRwDtsPeOtehDsCdA1LhhYo0MbgF+laW6Exza5RM7UD83M2QMfPdhLse9vjCvS0+e/ckc50molbDb/lMeDDp206euk8mO6AeiGyTWclpprsDQZizdw5wLyEIEmpBhDExdzwScvxsnXUzAl/qTMeKstHXYbui/DSTFIORz86Ngldf2+fTX4/oxT6DWFDzbb9qkE2WKu9SqvCrEbIiU+wmC6los6Ye9XDEO1854DuuX+Qz93S55d4Gdz3RYq7dYCACBoGH5ys8YUd6+FLiC5NJLYNCONKwah+uQeYVF6xkblEEoKnL2NnrxIhs36B11qGlEzAx6Bh0hDFw4Njh5nXX69/3vSOXAYO/NcDPLxmiaPBPHnv0jql/+a6T1FrAMEFiEKlGCI2SqnBRtLb7FszSAbQsJIk2snoSwPZOrlETWAkoHWALoTM7UCMygHteSuDF1Goxw1HK/tNw7IziL2+f5IsPTTC33AS/hjfh01CSlm9oeZq6b6j7UPMtuGu+nUloy0yls4ns5yYDuS5AHvi2Pe3wGc2TR0Pw/ew2b5wUvaigwA3CbL20IEntOOcrd424fFuPfacbDGqCRiIIY8NIkVl7OmPv3E3JLchSqxQ+e2ZFaq2y6QM+w8inXh/xA68f8aYbV7j14R5/9eUGx87U2He6QbQSkoQeQ89DKjvVVwFe9pwzeSFdKIP/VY/CTSlBrclKbov9ctPGYMjbDjWY1DK3SSzIdQJpQhIJfu19KbPrn2Tj+tZzcfSzA3w0XBRRHP3k1x55auroujrt5YTrL4lRgdW2Ok6II2WBbVQG8nxcgygWZ80BX8gTRAZqnOcxeBczVHLNZ5MaVpLobJWHlDC0k1STNOXcItz+VY/Dp+rc+UCd08t1Dp9pQhiiGh41T9H0DE1PWxfBt4Pza74d12ZBnG8y21QGcDLNnYHbTwl9y972woo4Og97jzXwZdUeLCQKZT144SjkTorO+hoTn8t3Drh4Q5+njiT0E59WLBh5ECR2JqByAC6lQEhZYXJwbv9ONtnWn2dNwanPyA+YqEd832tHvPSqDqeXO9zxYMCRkyG3PtLgzGKNdOCjpUccKISU2WIEtitfkmU8oZAta4G8EmjiZqlztyV7N++lzYHtbrGGKEV4KVKlvOjqES/anTDqPrhu9w0/+6/bK4ffOzm1e83w7VkBPpG+n2GS8OS+o7zva1Ps2Ka5cnfMy6+PuGxXzNZpzUUXRARGoGMrU3LLsBzbIB0pkgHblBIlZ+vqJzNjs8JNdrfIpIhK8cOUODUcOSl48oji9gcaPHU04JmjdTqjkFEUgh+gJnxCJWgoaHiauuMDh15ep5GXzdq68DCTJUGgCAKZXQCm1N5+ajOLvtX5tSDG6IjzS5KRCfE8SSANnmOzjRF4AfLUcZzSzA8XeKyfiZBqSC/26XvCOh1xWTDmKV3JQErhRLH5sCNKqZi3luWDkfxUFeMn+qOATdMROzbGvPDCEYNowD872uapYwG331/jyaM1jpyoEScKQoWRCoQklU42qEhSrKFVKuI894HzZ+08j23aAttDs3tXxNaZhEt3xbziuhFX7o7ZvjXlnoeS5n/546++KzX+e/9WDL7v6T/j/MqSGrS/Jg4eESwNfZYOCZ48HHLr/ZrJQLNjW8KVl0a89voRr7omApPg+4Z6k0xnS9CCJLaAzwPJCoO7l7yhWFVNSFs3grAjlePI0B9aRj92SvIXt4X0Y8Vjz9Q4dDJkoRcwSgPwAlA+akIRSEFdQUMZago7zkxlhUfKsnbgC5v0cMHtS4JMloQBhAGZa2JT5r6nCfwky4jG1GsRc8spt9/Xot0NmZ4UeJkXnxd9iWdjNu0EhFoyGinWzSped+OQWx8acKLdZOBLK1M88BODH+eedeaxy9TahbizTmTxN7TxnL9hgR6kitRTJL4d+xDHvrVS/ZhmEPPSKxNefNmIt7x8yIGTksf3+gwixUdub3D0nA9C0h94pJHKyzcxXg7wMcvITd9WAA4YjUgNQhtMBux6M8X3NcJoXnXtiNdeP+KKSyJ2bkuYDAzrJmxsYzDs2d7ny0/MX/6rP/2L7/3Fn/yRn55srl6Zfk2AR4nAmJnf+w9/zNX7TgW2eFpINDDfM8x3DUeXDPc9qfn47SnrZxKMNly7J+KdrxlmReywflJzzZURzZo9mRhR5MBWn3NRDOdp9wWPP+Gx2JHUa5IH9vp87p4aw1gxjBVnzwVo4REbHy188DxE6OFJSaAENWmoZcAOlSFUxtaAe5nn65XMHeR9mQW4VdajKQr2DnxNEOQFWmnB3kEQo1TEVx9VfPrrLVTgWbutor+fncFz/zdNc8dDMRz6vOmmAZ/9WoeP3DFJL6nRzHS4n+vwOE/KmKJbSAhZAMz+KelofQfg2jJ54lkm9z1F4nl4SWqBrlKUsoP0p2sJN12ScOMlMUaMePsr+wxj60v/zT0hD+4NqIeChY7i8acCOn2ZqSTBs4ryYuUJ2xp4zTUx66ZSWwueGt75mgHXXBxjNKyf0cxMGey1Y+92SaQKMrxwc8LbX/Zk7cFHbr3qm2bw84sdNsy0Jv7db330knseaahYCFB+eYay8QfaGEZGc76tOb9ibzMHTjT43FftlWhSw+S05oarI1p1Wwe8ZnrSvdQz12Glp3joyYBOWyE9aWeiGLvUCcKzrfnSA+khpcSXwoJZGkKpCaQFQqAgUOWMPgtyUTY8eLYRIG88dsFtGT4rq/VzBk+dLSH0YoyJOL0QEI1qhJOSIEt7K6dtr8hi5h09gGudFt3pWhHFPtMtxfZ1EYEYMkhCBomg7tkhmHkNSZ7QUtItb5XF37J/I0+26TJ7qnXWM1lKoyRJs7yByuayJ8RJioptvOWpFCkTtq3T2R1Dc9mOIZEZID1Nuy146EmPlb5EFYqlGlRXznRWjNWsaV58dczktMYk9s5eV/bY2c+u0Ikk0lbukh03eyg1Qihu2NNGN4/UG+t/YiKNlzvKn35ugB85Oc+pc8vvvefxs68805MQTKxxNa6lowyJ0bTz95Shs2I4+9Wm8xXXArir37KTIwQ6X3KBrOZUqDLIkTKzsnJQZ2lnSbZwa+4bO89e1kmvyJbeowC3betSBBm4A4+ixNQyeMbinibIsqO+HxOGMScXNB++tQleYGcsSifBUwFf9fDl7JoPCbVgs4N1otjn3a8b8Jm7BjxzvkUv9WkkdlFaWwVYzncUKs8JuMFeXrqYSyHpFHjlmy5qYTxP4ad2XoqfAV3JMmlm68azfaGzwUEpnjAIk7KuoflHL9Eg0kxmAiJfP2ONc17UGAnQCh17RZyWxJKYqklRxG3ZdyqQIwxEKVIcfmUyPPxeTPIT35DB3/unX0YpERw4OgdezR7FcXAX1oezb/KFjxzwK0Pqm7H/bxzfObvlAK8GL0LKogVNCfCFTSuHwlYL+tK+9iRZTUXWPZ4XEnk4c1DIVmYru+pLgMtCtoSBKVragkA7g3MS/Iy9Ay9Gyojj5wTznRrC8wglFXki3a/lnG5XOlSAlzkdUeIzOzFi56YB+86NGKQewxTCVOCnBj/JdHhC4SyVKXRV6VTIT4+1bvOuKuFII42XalIlUV6+fLnKitVSpNLZnUKX1mwGcpH/beyULCFN4XrlQM8dMPf7MwZY93ncaSsBXp01WcJRo/qnEQt/ZVfv/UYAf2L/KYQQ9IeRHdouRYV/iw5rHAsICvlhKjLkG8kSsq4cp7BeCCRlirgYsywMvshAm0mAfL94LyP7shSUosE2UMKCvQJuaZ+DHOh58JmBO+/+8XQhUXzP6tMgiEmIueVrdc7P1/EnFYFbw+E6KIzdA93UtVOYlid9hiM7wfaNN/f42hNDOkmNvudRTzRRlk5XsiyIygvOhNCUnUNuzsG1DrOZKgZSZf+mpwWJEnipzFaxs7U8SQb0MpmmiwSblNpJvGX70gV3ZvMWa8UYh8+r5kIF4NkFUCYBx3Mm+f+X3wU0QsekHFkTXhWAf+CjtzHVqr3k/X91z/XduYS6b7I7nS13BWcYTM5ClFOlclMfvvHCK4UgyZMFAlT+LGxgkVttKksZ2/kmpcbNZx2qfKBnJk9cYBdzUBS2H3EtgOcBZ667vVyWmExvV2vJAz8m8CPOtTWPHKqDF+Bl8sRzCpTcRW2r51Q4PrDblyoLTzyOfa69aMTs1ID2coN+omgo8BP7XVQ2OUzFLsCxIC/+kByr1BRZ32RW9ak0qRb4WpAqSao0qRIkGcjd4rW8HELmIHdAnZdMCHQG8gzQRSa6TNpVijEq9Sur2RwHTyWzU7zOedXEkkTMXt9c94aXnD/2lns3XvCdawM8imLaXfOPajK9xjcR9cC360hmJ0TjGPQugz8Lq68OLiizkw7AbfEWWfKgOnJNOSDPGcvLayOyGvC81NM2F+edKlaWqKJ7pQR23nxr2TvT3B6F3s4tQcvYJbj9ojoxRhDz+XtCvvZUCxl6BFLY+dtFBWHZRldW/I1nM0XRy6qLGYCKVCsGQ58brxjwnS/t8kefbxGlIb1UUksNo4TszuVW/elMzumxC+rZmBy0J7NeSFGAO1USpbRldCmz0RLaKUV2a4BMCfJKtjln8vwm7WiA8bIFB6w5YPMLwDhAL/IoLt6MDUaTJCGU8ppa0v9HRsf3rsngh46cYnqq9boP/9Xt/3Rubp5maA9WZeDOOICLP2TKK9FBtQvy8boFF9w5AKQDCklZ8+CONsiZ2y5Bkr8mY3CKNqwKi2fdML6qgtuOUxhj7qxnM8ja23wvbzhInC0mIuav7pggNSGqyF66AWbZ15g7GxUNzli7npZ2OlSaB5seAp93vqrPn98yYkXHDNIag1TgJxQsLqVBJqIoOrN24fj9U1Jak8IBuSD1slEOKgO5Z1DaypVUGVRqKxht9lgWpcmlRelWd5ZlzEVTSgF0U5z41QAff0NYBeLcfSoVpzo/fra2KdWKuL1EbaL3Tzdf+Po7e+1TtzYnt1UBPoxieoPRRe1Of3e306URBmV9gKMZCymSfTIX1Gux9vhDCIfJHXlSAH2sPLPQ4mOaMwe9O9tDKVFq8azirjLsJgO2p0TppBR2oO24t43JJmPuMsD0HPYO/YhHDkkOnqlhlI+SkkBqvPE6DUeAj7so+eb2spZ+tQV5nPjs3hJz+YU9vn6gTqwCBomgJsFPDV4iMvmWdeEkmQ5HWrlQ+ZPCYXHhSKNylEc+E9JTOgN31s6mjAPuvBbIZGUCOZNT3D2EA25EPjFrbfZe6+Hq7JxI8wuh2kdQxi9J0ieOe7t1OrpI6+jWVQw+v7DMcDBkNBoQ+jZQU5WOm7ydvxy+kzO6exC/0cd2pUkBeBfoDrhVUfNd2m6lZBG2e16U4LZBpii6xb0C3LICcHf4j+22pwB2ka0smDsl8Gxix3YFxRhiPnFHg8XFOiL0rO/uXoTjNSjF1Z2zUqm9XVateNNaEcce62Yk73h1l0cOTTBKa/RVQD21WjwvZ1WSDNz5vUJnnnhBRYCsMKIZbyV0R61pidLlTPd8v1xWPdPgMl/vKJcmsmyOGGfwsaaVMt23utCugikX3LgALy9WrQVxYhgMI3rdRdJkWPz/BcA//JHPoJRkbmGFZt2mPPNu5+KKkWPFM5UgAb4Rf+f+fylPxp5dQLssXhkvVjK2dBlcCYfFc7kiUV4V4IGXDQDy86UDswynZ/CLVLzO9tPK5inbufPMcfj4bS1GMkBJlWUvqxfieAZzrUxCfuKqOjzT4qkiST3C1OMdrx3yp1/s88SROrHy6UtJkOrMPRLI1DjHydj2MuHeT3X2t6rrFrlMnmrwCgvRjrZWWUmASk05rLOYyyKKCzoZ0+P2fLrFcjhMnoP8ubFSet8ZKVRswxLotiLTksLZU4dYmF+waX8X4MeOn2bnji2NX/71/7Hr/PwigbJF6FKWU6aq/XW5RVOFtLs/fkKFGN9frb2fXaI402pzBs/ALR3GzoPMfGqT5+WLvGbaW42BO0/f+3ljsrYzQ4oWsbynM8m2GOVHHDzt0Y0CUF4mT8xYeez4hVs9INWBRmNeeNaNUyZ+PJq+4JKtQ544GJHqkIEOqKW2ZtvLNLgSdiFXm1gqPAjyILNk8jKJkjf8ekWcZd9T2g5M9TRZB5GxE8uyhuR8ulaad/cXBkAZXBaB59j5zpGyqmGihFRlp+KbO3egcqSz9fjjBNCa5tTsrptf/WON9vIP9Sent1iAnzx1lqWl9mu3bFz3sw89/CSeL0p9JpwTUpwcszawxxAuqi8r7xUAkFUglMAu+xiVw4qqMlQzBzlljbRyQK2qqxj7iswLt+C2AC6HAvmuPHHZW2V9nUHEUlfz3/+6xeKghgh9K0+kqdxVysE5z605K9ME8jkxBYNbRyVJPCYaHu95W5evPDLB4iggkh4DKQmyHspy5EPG4G49vdBFGa1BZ+DWGNw6fQsYL5tClQfpOdiVFBmDW0mUFi4KhUwpdXjZTljKlDzwLK3CyrFx7nJrAnwM3JWWRw2psYv+JlFEvbHuZ8+f2X9vHA0+UzD4Y088Qy0MOXL0OFon+H5Aii1Cl8KdEbgGa3/j8pLKFbpKplQ0uChBLsclSnUwTQFsKZCqHD+mHFB7UuJlksQrAJ5rbl0Elb6nC3D7Xl5/UWVvX8UEQcRf3uHz9OE6SB8pJWFeGutYm8Ua8dmXfNZqQofNi5UqHJmSaJkt8uRz5e4+b35phz/9Yg3thQxkQChFkfRRUhA7Ad04kwuXyceyhIVUUaCMvSvYMXwUsx0tqwvKsRLlLJpyMq3t4xSyKk8KZ8XFwdjrZyUBF+wOk+sxDZ5qQRzHLMydxKBIE7swhAfQqAfUwoBa6FlNJ6zeFs4/ZFcIM1QDAIoi/jWZ23FL7I/ywnyzaqBMxTMuAktRsnnBkN8I4LIEuHJqqL2sLsWnkCK+Kt0S3xkOVGpuy96+Z6dWLbc1f/PVFgvtEGqZeyKcYOxZJApCVJnclMdvlW1X9LTaRm7rpnhMTyi+65V9Pvu1IYu9kEh5DFKZ2ZMic29E2YwtS7bMgZ0XLGFAF2xOEWd5ubOisv1Mompp11LKj7sLcpGtnFdIyUye2Luzq8fFmFwRVYALgxhLxZvsfSoTF8QqUjBFb6sgNR5GhIUg8/YfOMS62ekL7r3vwZ88d/48vq8KhJq8jGAsoZP/9bU0dzHpgfKWUznZDtCrm1hbouSJkwqwq7O/3Q4XO9ydKrjzlQ1y5lYOc69i8HzcRDlywlM2c3n0mODA8RqaECG9ojm3rB504wfhuBrll3cTYiWTC0eeiMLJKNrNUg+Mx6U7I3ZvHrK4r45JA8viqZUpnuPilOzpFnplgjsvowX7umhMyUAjy7mRbmyjdBaTZQsaFAktWZJRAW4tslkquSYXY1JFjOHBFC9WB+OiAFYRcDpYdGeTCzwW5udYt+myn9xz5U2PnTxx+Jg3HCV0esNN/WH6utNnFqjVQrSxt50C4M4tNWfl55Im487B+CyNHNBuKrvyntPLWDoTwgk2S0BbBicbBez64O6WLWmtXHA7IM/Wq/ez0tCcvVX22vNilIq55estDi7UISjlie9Yl5ULltXjIsYf1TFnpf3lDlIqymgjjwvXRbzxxj4PPtMA7ZOkVov7aZbdTatSqWRO15LLQG5MxYko9mW2L7O7isw3e+zT7I4hRcbqOr/DmoKYyoSPu5+xtNPeVrS9uOBe63iNJw+dxI/L5kIKkmiR0E9eJ8xgk6eSY56dCZhtBRtnK4IVy8utzdpro9sBdobmZ7UH84NAVWuXMkUUZaDjwC7YXAmnCdcBdzafsFy2g9XA9soBQcWIN09nIE+sPFEx9UbE1/crPvPVJoNhAA0r5XxRlSbjn9/9zmsCnOqttlw1zkn4ZCCPE4/JlsdbXjHki1/r88D+ANP0GaQhgaC40FTx90sd7NxLC5C7OQsbfGYXmLJsnkqrx7XD2nlQr7PgUmrh6G/hBLrVGKoIKJ24wL4nxoD+jcA1psmLuhUnY54f82zz0jQmSWIgxVPVgEi4aF19MbmYrr4eswRXA3xcolQnmpbBpShAU8zLU87qDUpktSkluEuQ52WzBs8rRyh72SJMnqoC3S/Y2m5K2QAzCCLiKOWL9zV45kQDfB8hVQaqbG6IE1wKWT2p465RQRSFt5tliitj7vJl+2ThiaepRxR5XLYj4fU393j8WJ1REpBKn4FWBCljnyX3whljcPtsxj4LKr/YNFoJVJH7EBhl+1xyPV7cUaVd8KA4N7q8a8hxgI/HJYwB/2+R6XxWPBYTezVRlBBFCd4n/voWPE+xvNLB87w1q9/WAvFaj9Ve9+rxu2sxdxXUOWO7AWa5AkEpTRyrsGDsHODl5NRComTMbRnbFEztFc/lvp8Fl56KCYOIp44Lbv1ag/4ggKaPFHnlII49uEYW0/me7lHMa1EsugTVQfJjCR+nACuKfVqtiNffNOKzdw15/EgIXsBQS4JMiyttF9h1pYFIKeQB6VgGUZW3eU9RShdp2Ty/q+RBvjYW7FKXiTahXTclO+e6ZPbxHMcqgI+BvoK3bxLxOYlK6XH00GOcOXUIrVO8M+cWEMJaLDkgn+0PrQoD1tDa+eErWLv490TlCl6TxaUDdldzFyC3etvNZiqVVRhmFYW2nSvb99z54GPgzjY/n0KbFfh7KrGbF+P7MYlJ+fy9de5+qg41D6RtaPadEt5Kaay7uS/WYh+3xoeM0fOm8sxRKYebWqCPhj4vv7LPG1/S5+njNZLExwjFQHj4KcVnEmnJ4uVHWJvJy79vUKrMWmujs9cCqUWhwwu/P2f0/G6bMXgxtHMM3JWAswJyx1UZx9Uax86+X5Z+uBeLlBBHbXQ6wBiDNxzZ30rT3JZxXIA1WfmbYO0xxi737QvpAtxp63JXFqgAuyJV3DS9s6kxcCtn88pFUHNA+w6oc+fEOib2WamYwI957Jjk43e0gACkjxCq6CJS2UKqbtbVdYRKShBjAKOiHUvmdjS4EXZFDJWNfijWifcwxuOdrxpw+31DHjpsJwnEWtFPRVbwlYEuzYHj1IGUlxdkZdCoaqVo/lOVgV7LbD2fPCjOtbfM2FzY5+Icamdgp3Qu/koCrJQk44P2Gdsfr3KqHNv83zNlo0kttCM+tDZ4vmf/QIyAtLTnCh/VZe41rqzx/ZK5nQ9Q/O/OlNUx3V1KFZElC0rrKQd4MSfPBXnWmlYuNmVXdigH4JfgrrC285w31uZSRakE30+I04Q7H6jz5KE6+D5IG1wGwjiTY93ASqwKrMblSQ4e4+wUDRBjyYsi2Ezt7Edbc+Exinyu2D3k5TdYFh+klsVHImCowUtFGfiluV1oAVVKFPsB1iqcM8YeS6MM0giUwWY/jUBkpazSiFKqOEFlyd7ZedXuhe/MdV8jD1IAWayBPYdMq0lDUzA32hJJktgPZIzBq4e2iVdFgmGa1V3nWorqh7H/qHH2RQHc1VlL18wXlS9W2Fdjjkl1jZix+hNBsfZOsXpx3nxbaXgoly5RagzczlD8wj1RKcpzAJ5JlMCLOXhW8KEvthjFPjT8TJ5QtKYpd5Xg4sJ1GOa5JIqpAt2VKe7iANqspcU9mqHk+1/f5/N3N9l/2l58qVb0U2WrDNMs+YOlN5FmYznG7iQmB7oDcGlKLS4zjS61wUh7jowUFuDaiZVyJtduLLXGnc1lXRfY7t1/FcDHQZ2/ZwqcGoxtVteSYaTwjcIYjfrD3//tjfXQ+8/Hjp+4NHculCMJClYqrlBZsGyhi3Nmdd5zfWqbaXPlhvuzfBxw9pyNBy6AO7blIxNcj7t49krdbR2UKrjdtXrKYqps9QcvLpoZfC8ilRF/+rkGf37rFIQhqBpKeTSUoa5MNo6CosHZd1rjykyqm4iSlJNhqQSoZSxR2o75RSskWeNv2QuppEEYzfZNEacXJA8/GZAIO3lAC4UQtpR2rbin6lSIQpMI97VxEyxUG1pyMI1JrEJq4XbbrLG5/48TWOdTzzTVycOr/i33TjP+u5mEihLYuvPaTRde8pIvewcPnZhaXu68IY4ifN9b5W6Me7nCuZxWX23VIDX/XXe/TAC47slYDYrL2pU6cFPR3rIAQylJlKO9VbHSg7MQlTJjkiSvFMzZO8b3Yg6ckXzsKw3s/BXL3kXnfv73BZXxwtL53m6gKdwXbmbYBYeuloDmTRD5ANM0H3KaKlKVafHU43te3efTdzbYe8oHGWGEZJj6eGT1IvmxTjNUpHniJ4eqI52MfW0wWWmG/WwyA480II2VLbnulsb+DaMzf1xnAWrl7lxl83FpIqy6WFPSrsniYzPKcyzp7O6fpDHRqPuG5cVTU95ye0CnNyLVhlCOB3vZbWMNTbRKD615i3EZxGnhcmWJq2Nldd8FuO0iyfW3s58DOa92yzW4A247kVVnz9YOVEqjcr9bJSiZoDJ5kqqEz93bZO/BUntLIa33XXTQsOYJFIy/dlVkQYrOfrUBueKJO4VEnha2NkWWKfwo9rjsohFvekmPwx8LiVIFwiMVHgMh8NLMviMPdHNHRVT4uAiBM71kjECZrAYEK02MMZkWzzZhyhS/AC0t8HUuUxwf3AW7e0cp47Gx+G0MvM+FMxvAmiL/YDLp6MkRvhzg+b5d4tlTpTQRY6zr/iFysK7B3tUPssZF4pz08UTA2s0NVdbOX+esnYM9Z+4C6Mpl8lJ3qzyIzJc4kRpPlkPzlUrx/ZgjZxX/41MTDKVPPkGr7JrP7iBuDbSrJ1f5q2s/ioaRIk1u6VJXUvauBheV+pRUeySpT5gm/MRbe/z1nQ0On/FAxaA9YuEzEAKVlo6GdIPNMZDn3rwBPLexHIE0Nj1vMBlr5564rrC5yf6OlgJhyrvHajMhA34FpM8O7oLZ12BznSuH4qKyF7Stq1d4vieyoTd2HfPS4no2Bi9PoPvHitvJGhdGRfZIVrFepbkhB/4Ya+eJlCq4dSlRZJXBvYq/nYG54nc7m7Qs7nsRnUjzR5+d4PRcCMrLrEGZyRNT8b2LffcEVFhqzP5aC+i4OrNs8C7BnafwZbEVzRBSkSYeW9eP+JE3d/mNDwW0YxsQGCMZaWVtwzT/HAZSQamwS5CX/7U/UdlVmM1vKp9l6fhIaUoGN865MyWbWgZ/loCzAtIxNncwVyHOMTavXBBZXYzWglEkiGLwGjXFMFuWWilFxUAXYuyKEWv8UbHmh3MBnrcqVT3RtZm7uAoL1i6ntBbsnRXcl4B2mNzTGaPrQppYOaIdqZIzdlI8eyrGC2M++fmQ939igpH2rTwRqpAnRVPxmCVW0d05o1SSBmtD3JQE6liFLujzlL1d7SDPbhYpfG2XAq95CT/29h4Hjgd88HNWi4MiFZKhtgGnTCkYvCzAyk9Wmbp37UoL6lKyGJOxuSgDOks6ttTVVBI/VsbkfysHtM5JjnE9LhhnbvEc4F5T1mQ/j2NBbyjwhwLP9ioKPE+hVPG/VG4NqwC+5u2klCgugEUGbFhdm7C6MMeMSRTjBJnZEt3ukoHKdR20I1VyMDtMLsvqwEJ3F8921uDSMvz1Vxosj3JwW4D70mpvT1TlSeWuk8cvLgGsgW9Xa+cgz63CSlXf+NKLeqxOXEqUVmjtkaQek0HKW1/T59P3NljsKpAxaEWM1ePj1YVjZ/lZmdzmgcqkUF6fkgebJmPxAtCZT64Na9yps1JZY+8mWroD9M2aWKqAdw3cuRjNH1ECSQJJCl5+C7QBmyy+ohj7/hXmpgrm/P1xLTXejrZmQOa2PRWAcUZESFPR3qWVtjqozIfTlOBOKwFmHmTm69x4Dnv7jYTPf7XGA0/W0Y72tk0NuTyp1psUrVkuu1T0eJVlVj8y9iwsMGcGjQG3GcK4QaexC3/lvniS+ng64cVXRnzni/p8+JYAVARCYoRgpD2UEHYJkjzQFGLsXDua3PHB89GUxtjjX6xKLZ1CMWlnvFSY22QVqQ4GdE5iOVub/Gclw48z9lpx3nOBG2zbXY4nz7Xh8lG8zwrwNf7RVQ6LWA1qV6bkRfGFbh1jbCHG2FtUgV26KNlrZfCyEWNSZo6JNJmudiRJ7phIR6JI656EfszhE5IPfb7FuW5g17uWdia6EpQrNozFC6t0t+sarcHe449Kosdh9lVLLeZLMFa67u36OfbZLn+ysZnyA9/Z494nQw6flyBiQKGRDIV0FpGyoMpBXdiY7gXn8nmRzczOg8vmwu7nYM5lSwF249w1ZC5TXOmSS7r8c4xXFrrAr9ayijUOshDZgrLaoI2xDG40CGmHUz7H+agC2wVzvi/K36kA2jmo47o7v3UVv1fUVzvMrXLAj4G8mJE9vp8W2jtncS8fB6wSlEzxMlswCGJGqeYP/nKCux+p29426VntLaXt2hElARSfNb+zuBfzGkzuHi/32K7OYJauRbnGu1s+65bR2nYznTsqqSaRHirxePkLI370nR1++Q8CRom0GSgtSTJXRWYRnf1sJgOQAxxjW9JwPp997Y7ny7rrDRhpMgUgigvAZGxt61PKpofsn6nagy4hAms2RTix4DhpCMrvkWPUONlULx+1EGRNuZUTMA5w5x93bxGVkzr2XqX+YA1NVurYNdjbWX9eriVPpCm6ve2y2dqRKM7Y31x3ZzOui+BSJvhBwh0P+Xz67gajyIe6V2jvgr2LwJbKtoq5RfX42G3tpmO3eaQony2kQVl8ZVReZVitFU+1ROpsjVJnJbV6I+GtLx9w290Dbn9IWdsQW38RC49BTjo5O1IWZIFlYXcObGkXOnUpGTMbCSr7fvlrk0mTHOj5+TVCWObG7peMPYYhhzBcUn22O6IojmEpt9I0JUkNOgWvWYd4ZGjUTBEMVgb6jCF9XJ6sDXJHm8ry59IBvMvYlaAyB7t0HItc/xbrqdvXhfYuJqGWwPbUGNBVCW4vA3fgx6z0DJ+/t8H+szUrTYQtiRW59hY4E6TMKnAXd6PiOAgH6M91P3SOtRGFJbdqTF4O7lXDgcoaFSkVUqdI7RGPPPZsivnOl/Z4YG9AO8rSr9rq8QhFvg6EJPPGK2W0JXQMNrlTXJDSwkhlLW0lm+dSJUv4iKyGvAB6CWiRfV3X/85xV9rS45lKUzmWLgarTfD280VRSn+Y0hsmeEGxPJ4hH5O89tSq1VdSyeKmcqWtFVwK7IEA12KrJkvKALMEdgnu3Acvg0tZDGY3FcauBJR5Isd1UaTtlNek/Nktdd7/qRZGeNb3rrA3pfaWa3xuV5ZVGEc8K+MUYBkjkqoX7sqU1a1s5dqk2i6hLq0vrqQmTn2k0vzYW/ocOuPz/k97xEkJco1gJCRK54MkMvC4rW0FqHNdAdnkt+w7mbL+Iwe6sECW+f8mMqliyhETufQwGV5MLj1M2c9ZFl6NHcuKfV09jvl+PkdzFGnb1RMbPNvBYrvLtfNL1cIWURwIV6+NB5UFmzugXi1PxsaMuVLF8bhzZi9n4mXe95hjInNwqzF5MrZmvcrWnrEaPMYPYg6dk3z6zia9ng91tZq9i5pv5+4iygRPRY6N7efB0TficFNqAEcOOIVEDrBN1nRQAF3mQJdoabW4lB5xnNJqJrzlFX2+eE+dQ2ezpIIdUE0qBAN7r7GfUWfgNiXYTQHqzC0hS/4UN5zcSclT95a97Yx34ciTKtCrwbiLD2E7RR3JUgScY6zt4Ls4hvlAKm0gTgxRbIgTjed5AVLZNVJEVsBeieor9wE3uq0Cutw3VfbG0duy/B3pAF6OBW/5MEflsLib2JHCHcyeOye6styGdGSJlJljkjG55yWMYs1t9zf5yqN1Oxxc+hbgY+ydF3kpIarBMPnnr6afc4SLb4TsKqFXge5W2ukse5g7KdlSJFZ361KmaEkqJCqVaKGIRx6vuSbiNS8ecPILPiOd1UHbSigSPIYCpHaWrRKiMLBzTasKSOWOSlYrLiiAjxAl2Rt7To3IAs8K0B1gF3d5MYabMlgsp3Ph3j6qR278bpgFwGHoU6uFeH5j50qylHzREP5jKVIbEEBlitBaj3HN/Y0CzKr+zsGMc/sqRx2sYu0C6GXZaNU5qepvVaTfU2c/QUrbqSODhLseCvjNP5kkNV7pnEiFENKuAyTKtHyVwV3HZ232/iaSmBUKWl1G6jZAlIsP6GwWn9ECLUpHpdDk0nrjQnskiSYIUn7uBzvsP+Vx14MSHYgMsvYLxFoxwBVUxpEla2jywgvP7rb5583utrkOF9kFkDOyLBjdic3yYHRVE4SpHsMxByVXEBVcOsVqYGg2QrZsnPri5ZftWlE3X7e11+/OH/YUP2pMXHbRjEmLVVtu8TnPbnFU3qAwXjDlFkmVqffcDixT8Wq8OtAJKIuCqmcBtytVvEpCx/ZanloS/OaHJrn30aZdlEfadjSkjycFdQmhJFvkyqyu3a5sWQN0MSSnOowor3mXaqxh2jlm5WvhXPRjWV2XDJw5gGJc6rk/M7BuNiH0DA88EbAycGoLsjAznyJeVhyWoBKrrs5v5rYkKtKh6haNL90uKkphvHShws7Psl+NU6z/HQQh584t/MAjjz2132vUUoQQJEmKMKaIRO0scKgs/ON+zbErzU34VK7K/DUUM+sKaSJcF8VdFqMqTeQamjtfYWDNTbmBZVYKm+2nQcqHPjvJZ77axNQUCGXRKTyElJV+y7K/8Tk65l32GddvzgEbu7GOlcxWAWH3q9324x0+OpsfaDLmNkaXNSpCIrUiFR5ykPLWVw545ojPez/gEYWJc+sVGO0zIiuyy/PrdihlJkHy82/v0oYsu6mzdwVlsCmyABLL5pbVyxtCfv4N+bFzcJLmtSl5+r6qvasyxb0Q7CPHa5oaBiNNolPbshZ4upjUrxNNkmk9kX/wZ9EoVWA7LVtU5YiruSv6WzpyZWwEbwXsud8tMoA72rvC4DJ1nBQX3CnSqT25/cGQP/lCk2GaTcEXuTWYZS2FqWjvNVPzLtChcjGPy7RvxH4mC+5y73lVRrNwtsqaFCOdzKZ0nBWhbAZPZsVZUpNqj9DX/OAbe9z3eMDtj1q7MPfGkQJtPEbadm8VRSTj1mGG1EJKCYHCZKB2QJ43PTiaO/+dvMpQShBmPODM7UM3hhPFZLVni2nciQBa2wBTKmM/qzF4k80RUgqGUUoSg0ns1Zl/iXF8i+I/awWTVYunwtLkX27MOckB7tqDLrhFubKXWqXDddUDH2dvmZYBphfTH8Gv/fEkR06HGK9cLbmivXOJtIYsW9Mxcd9zgexoyGcD+bgVW81ousVXrh5fXZuiZVZxKF0WV4hUI4SHjDQXbo35xR9qc9/PhHSH2ZfRsvhcKR7D3DHLi7t1CXKTNfWqLJWfOywqCyiNJOtKysCc1aSUSZ7yOOZDW10iJANzlRwc4sw+2zjOi3qYLCBPUogGBjGyR9GbmJrG8xSiPWBxqV1lZ6eMcvxcuZKkYvc4QC/1oMt+1TnSRYC5pkTRjg/u9CVmbF4wd8U1cVbnzTxvz4tJUnjfJ1s8uq9mPW+ZM3fpnPiiKkuUWEturS75Ld0Tp5n6Wfh6FZOPOSdlA4R78mwx06pqQ2EZvAg6tbQgTyVaZFuaSRWtufbSmPd8d5v/9pdTRGnG4lBEhSmKkc61eFZU4oC8kCjClB9d2AV6jcvmBYtnxC/L+vMc3EJQgL5iSGTqIbfli2eHVMcPn3MYERgmJyeoNSbQaYq36cK3EdYapEefZnDkiwRZvn6tjGUJ7DHXxHlPZsfLdUzcL1Ct5XAXMKrKkhLw1fUZS/ZOS13uJnUqWxZY1lK+fH/IBz/Zoj3wrQeYed5kTbrWOSmzlm4pr6p87tX6u6zJqU6xKtdXW31GzNgJquC9AvQS5FXWzqbC5pLETQIJayOmUiGNtvUqiWKipvnht/d5+OmQ276uoJFQFI4ASEGiJcOCK0uQG2xpLIVtaT3vLFa1Zb25hNEleHP54jJ6AeJculRknyF3LPPfy6BlVdUa98L8GNpzlvJdr3sR173wajqdLp5SHp7yUUqVpvo4axcsLYrbhgv2VQFlRYOPJ3McvT0W9SsH1JXl6kS5wq4FeFr1u6W1AmWxrroNLKVMkF7CvmMe/+PjExxaDGwbfOZ322dZsrfT8FwB+VrypCJNxqY1jR9E95HfbsdqUUoWLxMrRSMEa6Xxx4YE5YVYRheLyopcqgiDkB4yNuyeSfiJd3Q5ds7j4GmB8VyBJUD6pBnIGQN5TqmqAEbmd0PG4qLU0dk/V7C4Kdm9GIyPI0tysFfujKbsDsK2pRny12sc4uxiUkoS+h4j37YaFjIhP7AFI+OyU/nBy5WzMlBTDSjXBHbF0jIVwI8vKqoyGVIyuaO7lc5ejydzSqArlSJlQhAmnGsLfu0DE3z6jgbGV2U6PpMma7G3ci7A1c5JVZ6NJ3VcRq/QjfM7FdYeA3v+3uqaFFeH54B2A9C888cyuBT5fhZ8ppoEjS+tq9IeSX72txTnVwSEDhKNwOAVTF7Kk+xCy58z1lYSjM7lS/5P2KSYkRb8+V1JZDo9Z+s8ZS9NWb+Tt7zhHPc8eVQBOyXY80elmyH7B2WcKlJTOxfF6tZafRZJOma+U+ppJxAURTA2VjeyanM9b1dmOOWtY++VnniutR1wS71GAVXpmkhpwe17CRGaz32tzpcfbGS1JrklKDMGz9m7XDXYnTfouiWrymIdLY7zs3FaKU7AWmaUI1dWzw7J5n1oF+Qlc+edPrkeT3We+HFS+0aijcres/tJ4iGM5LUvGvKmm/sEImt/0c5mEozRJAaGGkZaEGmItSAx2JUUspXZkmyNzaSyDGG27mYqstps6zzmq7m5SxbanxnSLMZI89819jnVZQBZNH/o8UXR7BbHKZs3ztKoebdOtmrn6jUPuWPnRZw99uVjk43Bf9+5YxYpk8rJqVT5Oa/VWprZlRVjrseaoFZlsFgC1zia2/W2y9elFNEZW6fZ6zTLViYkQvPZO+u8948nOLXgQ6AsczuBpcjAXWQtxyoaKwFQZfaJqByjsuZEVEC9Wi+KVUBf04R1wFwdalOup2MKkIPW0mmMkBhd1qjYFL/t/NGpbXGLR4rts5qf/aEOb35lH1+UwEbH2X6K0RnIDUTGgjzJwJxoQWJKoKeVfWcrVo97FnA7+/YOZIoVG/J1RFNdLhRQdjhlM+2dAzgYpbSmNnJ2fvjfP/LxLx+7+OKL7Bo9STxEkJLEEWmKs85iqZfW1tf5/hoJnIpEGVtqbq3AUoytgZ7LFFW6JtKRIi6484AytwR9P+XoguSDn2qy/3AILVWA2iZ2rPbOpUnRZ8lYbfo4c7ubzIE8nv0bY+7K61I5rpXssaytxxI+pYsiC9aqpu+lsCCXwhTeuMiZPasnEELbqVfGkGqPeGS4dHfMD761y4NPBhybd25VRdBpZUiCYChscEk2ws24VrKjy4salarqsel6aX8moVh6JycRd1+Qy5GylqU4rq74do5pTr5ap0RJTJxaovYAvOaV+GGNZM6jNzxLvZbFYu7tWJpnAblZE9jjdqBbVCVkqcPLQNNh7lyLC10CvWDvsoDK3c/Z21MpS13B7/z5BHc+WiurBPOMZQZuJclWKHbHIJe1EsoB81q24FrAH7fAv9mHm6KuVBVWbsNZWltbQOlsNqARDvidTKcUxjYYaHustVBZq5hEoNBCk/Y1r7xmxL96d4f/+MdTLA9yYGd3Gi0ykHskUhQOSg5ytAUyOeAzssg/Y77mVQHDNLsgcoLL3ncBXz3m9nvl7WF5DkpQGJyVYH9mMuDF1+7i+uuupt8f5Nco1Jpbufjiy2/rdVZ+MwxrhftdlraunZwpKvwcCbJKnqgs+6hK2eH+f2WHvLX7SrdkrCtnVXVgvp9UEjpDafiDTzX5wCdbdGPfFlLlzJ25JnZ2X+mcVIqqnIM2nr2sMPWaYC4Hjn6zSB/vri+AnP/MdVscu7CULK6FOD6Z1koV46wWobXKOoKsHm958KNv7/Jjb+1S1wnoNJMqKZi41OTakBgYZZo8zrbECOJcohhHixuxSpvrNWSL1lXdnY+tc+VOIVsqDpKTO8BKljAMOT+38JsXXbTntt0XbC4BftGFm7nlk7/RD9X80VZTFKMZxsHtptLVeNVfhYXd/sm1g0sps+SNC2JR1d3FBZE7I8JhcFVlbikT8DXPHPb5i9sadOJsMiY5sL0iwBRk0qTYTOX7KVG9exUmmvNeITvE6vcrztM3gfSyXW3MMswDTVd7FxeB05Ts6u9VnT9l4Jlq5YBcYbQiiRUtz/C9r+1x2cUjZOrqcRfsaQlygw06M3AnJtflpUZ3g81ElwFjVXevBnolmMyDzaKJ+NlAbhuME604dHT+6L/5qf/Yb01tKgEOcPV138m1L34rG7dcDCZZ1ZCwKjnjjnQQVXCXADXOHJOqY5ID2v1duQrYZfBZkSRrpOI9P+XpIz7v+Y1pnjwYYnxZypKCwaVjC5pikM/4Sg1rWYNryZRKYkfgvBJ/O7liqrtVX3zcLiyX4K4s4ur0bRYDg4ws/HHjTMbSWmXj3xSp8dCR4uqLYn7vZ1e4YvcI4rQEebFldRzakGgbeA41RDoDeeaw2OCyBHwlADVjDompAt11Wypbwe5rgzzVEEUJV16xh3/+A2/nn77rzcXxLADenJihNTFLox7ieXoVuF0Gflb3RFXZehzkpWTJJce4W2LWkCYZkHPvW5XAlllCx/M1XSP5/U81eWxvSKoc1hZlvQk4tmAF1FXnpPD3pRnT2WNjISpgdzShi+rnQLgZA7aLcGNWs/pqZl8tWdz1NvPJtLk8MWOTsayFaFeOEKnk2stG/Iu39GjJ1BZ1rMHidjMWVBmbx1oQG8dhMaVkyUH8bG6KHgN9FdDjpbCO0zIG8igxBEGNDRvWsW7dTHFcvXzH9xV+4B+q1+uH6/Xm7jgaUkxrckAsRH4Lr1YB5uw+7p6MB5Lu7xUXS+agCCdj6SZz5HhwKVJUtnl+Sl/DBz/d5ONfbjLKwTzG3AiJzG1BWUqTVevsVKL5b5DgKQBctQeryP5G8mScvcvy1HEdrqEYZVz1xnPAG7QWCCGRWRJIGIHIalSEkbaKzxi7rw0id1ZSQyAM73hNn73HPT74qRa9GHvAdEaF+XPWwJZqWfZk5sGvzJoysmNra1VcVyULQDMnypgypZ83RpQ9m25SiIJ8yMt1i2BYM9Fq0ag3Dge+f2ioCliXDD4xtY0Dz3z9VulNfiRsrMMY7TQmlBaeGmPvtXS2cqSFUuVoB7e+pLQGcz095nuPyxQH3AV7ewndCD7wmSb/6QMTzC36RW23W2tiN+Gwt1mVrVw1s8VxVCRjYHdfj7F25WfiucGdo9ottCreq7wUGaOPs7Xjj+eMTVWyuM5KVZerylKFdgScYtOs5hd+qM0/f0uXVphkizeN+eQmyZhco7XV48Mi+BzT4ibT6DmbO+yux2VLwex5zPAsjK5LyWIMpKlm65b1rF838ZGv3PG1W3fv2raawQGU8vGD2i1Kyjf7vneNBZMzLsFl4fG0e8HMVX9bjDN58b6uMLhwve+MwWVWXzIO7ry/UtYMn7mlwa//0QTnlrJkzir2rmYsfeF0EYmxdXYcgljtfYsKeMebGOxb4hsR9jdkc9cZKKVKxulrpu5tZs9OlRJ2GW1RAluY0hMXImdtsmeZlV1YFkd7xJFh83TKL/xwh8WO5COfb0EtZ00xxuT5x5TEOExe1I1bEKsxNtfZcS/rxcsZKrnNbbJJsfbfNAWLm+wEmXwxemPwfQ8p5WONRuOWPoPKMZXui8tf8BpOHLj1Xk/2Hwp8UWXojImlm0J3mVZUA0yVg1SYahBZZCTNaoYWrgX47OCWMkWFmkOnPD78+SZn54MS3GJskxKRae7cOfGyxMR4p47bCF2AmaosKYLHjL5d/f1NqpICzM/5c8f7dvXmmh45ZVaz6qq4gWcZcBape4fFU60yva5IIsnmdSnv/kd9dm+PIMq1d87kqZPWt0xuTOmwjLQgMlhdbqrOSlLYieNB6drZTle/6zG3xf7MYFAst0cPffTjt9771je/tnIcvfED25zaiRCCKBqh41GxdkylIMpl84oWdzT5KnbXq37X/kwXGtwCOWf0UntXmFumqEBz+IzH//17U9zxcM02UFa87qo08QTFGAhPrtbaz9aDWvyOM+732SoJc41SuTDGf1+s7ZLkV4W7Fs6qkW65P56nqTM3RWbOgjB2Yai1irIEFlRCyyxJJO3AeKERWmaFTIbUKNA2waKHhldfN+RX39Pml35vkiNnA/CzT6eFzcxU2FxhECTZW1pbPe3l+juLLZR29LgWVfY2qzW4FJQ6P6+szGvNsY3Ns40al+3ZgdaraWMVwC++/NVI6UX7H1+mu7SA9ERFp1ZazCrArmYtV/2u+36erXSCyvL3dQboHNwO0GWK8jXH5jz+/e9P8vHbGkQiW42qYGwX5HYQjSfcOu81lt8WZpUkYQ1wFgB2fse1A5+TuN0frlWPYrJb85gWt89OyWz+2qkTp6jNcDObZSOE1FabayEKQNtMaAZ4bZybj5UsiYaal/DO7+iTavil901yfC7MQC4sdHRaBnzCFHdMbQSRsNdBIO28Ey/7OtqIIv7JZYoWjgTBLmRly2vNquaJsjvIFOWzW7Zs5h1ve10Uxyk/9399A4C3Jmfxg4mf2bx1++XnksOvjEaDzD92QC71KnCPA7vqqrjs7jJ51TXJmVsJjZBpRbJImeB5muPzHj/3u5N88vYGkcyWXhNrbW7GkmoZLKwtTRgLNh3kjvvfFVCP0/bf4TGOa7cufHXavmT8XMIIU7UN8/eEo8W1o89zr9zWeecAt+DOG4qTxOB7Kd/7+gGegp//3SmOzwV2rXDpfFj3W2h77A2SBLLmBwtKneUeDNkELJPHdnn21hQdP3bshF09WWJjvqK3U2T/ptY0Gy0uvPDCr154wfafWW53Vx1XOf5GEE4yd/xvOrVauN/3VVpNv7vz/sYdFKfjXVVdkKojYorEjXJZehzclZR8glQpZ5Ykv/C+ST55SSxEWgAAKHVJREFU2xrgXmUL2gIcX1r2zkewFRanw945mN11g4AxKTLmf69JzqYK+r8FuscDzHFfvHxToIvfFdkSfJmbQnWIfllxOF5aWzoqReWhk9I3WabTltdKvBTe8R0D/sN72myejR1PfNwfzzed6XLK9L6xmc/IUDotmbtSyYJmbkslG+qk/XNnJl+FTnl+Wqs39r//z2/rzExNfGOA54/RsPeeKJ1+IjWqbDhwAsTVoxqc+uw1wO0mbqQbdLo+t3CylcLpzFGa1Bf80WdbfPxLDSLlAtobe3bALVZnLNcOKnMwlwBdazyE63+vpa/LAe3ib4vvajZzVVKn6nu7CaDCEmQMyK6FOLYZPZ7ZrGY8x1P6OpV4qeGdr+/zw2/u4aVpaR869SoF6Iv9FLKkTOxYiZEpg9A4rzPXVaCnDtDLrKioZDgDT7Blff2Jdrv7nmc7tmsCfOMFb6bTE2lz+mLjeaLIOLoLOa05dMdlapFVA4qqn11o7FxnC3fMg+NxFyMfNHiCW++t87FbG4ykyqjWBbTzTClNynV1HEBjnIYGU1QGVtbbEWMgd5ja1douoPNfWFUm+82A2/nFikxxWH2Va0Lui4//XpZoKdL4jkc+FnyWz7KS4TRFOj9jc21BHmrDu17X5ztuHiByK8N1V1ZtOZubgs3jopYla6LIQJyn++Mc6Ckk6TjwnYvBAFJx7dUXGV/G6Y993+vWPL7esx34Cy5+CTodfOxU/Pglw965pq09Kb1rkWlptybcDvhxsplSFz9z9bfIJUlFi2tEJbhMkZ5GePA3d9f4md+d4pkjYdYw7AJ7fCuliVoVWFYTOdVxEKYC6BKz1aXwxnVLJXU/BupvCO6xNOZqeeJ44LiB5ZgnngdhlQZlU3nWFT0O6MwDx64uLCgdFgwIY9Ba2cBX2Ncmhat2x/w//0ebn1bw+bsbdn6bcr+pGv+W2Xs2y5Aaq8dTAQkCz2QkhCHFruSms5Y3afLjXk5byzv6NTA9u773Ha+88WOtZo1/8yzH+FklSnNyh2kvPPE7jakrFwymGD1crlDmjEZzRjdIR65UmTt1rL+ynzIvd3XBrYT994UHn7mrzs/990meOZqBe5XXXZUmQmbZSpyVGfKDwzion0NurOWqsHpzH2Js5zm9bvMc74/VqOROift6XK9XUvZQyWJWlkFx3jOu9jZunYozojnrEEpzJo8kl18Q85s/2ea7Xt63tLqmDnflSu6dl2yeZqw9MnnhliDSgpERGbuXW87scUrxrLXhJS/as3DX/U//zp7d2571UD8rgwM0p19AEi/TW7oXxTJKUmFkyJMiOZO7jO38LlmmktL3toyeZsyds3mmw5UGDz5zd51/975JnjoUWK97jQxlVZqUCR1vDc1drtFpxjT2c4DdxeyYhbhG8aCD9m9eh48PVyrY2vl5WZdiWb3whStsXnridiXicTa3Oltknfeuy4KRltmzOhWdjaoSefTqVMkQGa66MOY//cs2xsDnCiYfv1Jl+WbedYwEY++0BquztYBEWAmjRMb3WWmFNI4JIESxfPjm2RY3vfASNq6ffM5j+5wADxrbRrK/+C/Wr9/wV8P22SZC2YOcgdee2zFAZ6+pyJXS67ZSQDtAzyWJQQjL8niCz99b4+d/d5Knjz5LlpIx9pYiG702Bu6CtcuWtLU09uqAcQzM42BnbAVoUb5XvvzGEM+P5yp5QgncovWlsA5d+eFq9NJRKVneFLLEpusdsOtsSJHD7Fa6lN9BYxM6wijbAAyAQkQJV18Y85v/qo02cMu9dSqtNkZn7pYLbpXtZ+C3MyTK+pkM5FJQyBOZWYrSOZRxKnjBzh292Mh/ccmuzaO/O8DlWV2buuiBWvDGtogfbSZpitalqrEn0R0lkTO7857UVaAL7TB9mcDJ61GMEv9ve18eZkdVp/2eU1V369t7dzqksy+dkJBtEELYVZZBQPggyKiMzDMf6KeiiAujn44iI4L6jSyfgIzDDMIwoxJGBP0UgxIID3tYAklI0gGydELoJb3f2/feOuf7o+qc+p1z63Y6oUMCM+d5bnfVqbpLVb31q/e8v+XgD0+n8LWba7DxDQVuYqk1oLkBbs5Mhw6NFrTrC9pey7Iyz+HB6XonGuzMuBnUWdCAr8RbrD6LhZANTJtrO5TWHHQScJObIQBykM+o8jgZIqAbGrmqcRhycYVOxoMgJqZ08vCLmQwMhBDqWjtAwceC6UX86Iv9kJJh1VMp+PqYefTjjSPg1otF/2XgqPLVQ4PKteopJiSSDvCZj53Yv3jB9Oe27OoTGKXx0TY6iUlgbmOXlMUVyZrlRY4C4eA+kQWV+mElBjvlnkjOqdu9ZCgqkjP8+fkkvvzjGmzcRsEdDlI0JXEDaxBm/zIocAd3bNyAMlYhAQxLrgDJDJCb76Ngtfczbvz9bNJ66X7SaTs41XbFvbWVN6w4I7ydzBRBIhNthcXk5CSmXHLIUB8XmpMzzJ9WxI1X9eHUY/JwhKWH03VjmWQNCUtaDGNbVNa8CGNOhJCQIyVc+KHFxUKxuGJSc21X29TmUc/rqABnPIXcwOuAt7Cj6B7zet6vgefmAvBagVFGVdcQxIz5hoXmzNcKCqc3hQMIh2PVc0l84Ue12LwtAV1myqAllhUPg0SU9faIC7iseA/2Yb1hU5bysmuxgKbAryCfjFkqtAGvPJaw+XYETFg8XIRUJRpcRjeAdgLBkhH1YJNOl8KNgWgAatKndHKfQxYY2qYW8ZOv9uHDx+bh+H5lYFcaiApVsqJIQnJVQFc412Uhh+mtHs45ed7rJy6e3bFu43akUokDB3jQHNz/xz9se+SF0uWv9y5FyS8Fso3WwcP627rojsrAIdadxYE/oClOQkK4DH96PoUv/WMtNu9IQMaqJY5pyTmRBIlq4hrgLg+iqqSS2Jk6QEw/yi25CV4ZERa9vTK8Y72VIFabdEccXRFypmL9rcEotczRzWAX7oxAzg11RRhOICtDCDQVzomygiSHHGFom1LETV/uwwePzYMrmUT6AEIFBTGOIBvsZfVZ1AuAX8AXLpqCkxd2Xr5n92+2ea6DfTV3XztkaqZjcGgQbqJq9+Db3pr82xtPSrqd8DwRARUAyKBTXXkGEV7okG+HaopWTTxg+14XT72YwDV3VGPztgRkYjSNm1SmCqHjIvJY2lGAJtDN7Pgg5puExVaQCjWKiTczrqgmvTniDPlYrLimq+EHScLHtSRucfBggMrIPmG0nRNZ/WAwqZ4KMnLhc+IcChUVVY8cYfy4EMGDNPgcWR4PHjJgzgBWFJg3rYhbvtyP79wh8cxLSWzvdgFlZAWLuDkkdB03aZ1s6v1ioVNPMkyb1ILJrcvWTJp2wu6miUNIprL7BPgYLDiQrcoiv3dNu5esvyVdtxSpRB5V6REk3AJcXoTjFEnBSz9y1DAVGehr5YQxPwB3Eti8y8W1t1bjiz+sxabtFNxxL1seDGkJJwNLmNGCNJGBWu8yh45tleOsfVycCYkJN2AszdVRgU33jeHZNn0xrDXl0bpP3ShmFr4gy0aVLJ27GdEVTWkMrk50chl5PGVowQVCi19gmDu1iP97dR/+/op+zGktBsEoJEZFUxbEWHFB6UoB8AtArgAMjuC04+ejoa72lpW/f659LOAGxmDBVauunQru1T9X8roeeP6F9vNF4UUcfaSPVAIojYQpVeGVCiLCoktkaOcM4EmgvcPDtT+txv2r0sj74aQ4bB8vbvJunbxALLZD+HQkCxKVpEKf6dSJ+Edk4cuJdWTF9zXKHAvSy++P6CawPZOB0VP7ytAYSh4BW2g1BST2OjC4jFAYwWRoucOCQVxoCw4e6OBB1GFkyQONngcSJGPgYRlnGc4swUsSLQ0+LvlIDkkP+O6t1dja4QFJQQ6URwehrLi+w8P/hWAO16Pm5PGBxQtx9F/MfWDRgtnP7enuGytsxw5wJzkd+aH2bcmaU6786R9edTZs6Dl3+fy3cenZeSyaUdQzbkEinCKDllkOLxkHuMewtcPFNbdX4/5H0siDgpuNQk+UrBT8VbMQK0+xw6L6gY6iHnHcm8OkIfR/CGRa/Cc2wAowLTnMzxlzk6hwM0jDKsfFqRjgZoz0ScNSG3EsAuHc8pqvhGCXehDKNH0J5/2RPODPYTk4KVgAbh54I7m6IIC+CYQAkBdIegIrTssBErjm9ixe3+UFiFPZxra3jESSOUxg0bwCPnXWED74AReNLc5DPWzZlV1dO7YvmjN1zKd43yydtO99/xacfPqH+5YtmrZw67ZdJ/3id73481NV4AmJJfOLcMOofbuEsjKpPMHw5h4X3761GitXpTECHvAMO7ZEqSXccuYQaqLKrulYb65qDEbW3Zj3Xq/Tei50hjO1nekbRT84GMJ6jaG6osNqVdUBuo0hKo7P9Isb63a0ojUYRjmVMjOLWPzNa7wiI0PHE9H8lNLoR+w+wQY6zYi+B+lnaCMWDbAZAjE7wSXmzfLR3CjwwnoXfX1cz2Ro3ulSP4qSUuDyCwZx/ZV9OP6oQYyIhWCZC37jof3+ebOX7g9kx27BVfvQMc1AYsoP1qzdOPPJdbmLN7zxNr73T8Hd/9nzh+FwQZwU0RUqCIYXXk7g9pUZ3LcqjYKaOsFytxt6N2iIH+HdxHIHIC2XAssTGWB4xGLjTQDDchsUxO6jHN5qB5LzYCQaa4sdPrZhWvPIbR9aaiY1r9a0REpt2Y3SEzJ8RlAqQ6XGkHurObmDhB0eekIjnsIYCzm48uRLcIgwoyio1M2ZgPAlko7AxaflAQHctjKDFzcmMCLIiSfH7nCBy//HEL75PwfQUi0wlJtcqm48t5SsOyEPWdzv8zqmQaZx8ZJH4ea7/9Q3f86sv21ubnxiyhEcXQMSt95bhQ3bPTDPRA1zGHKS4a7fZnD+V+vwy1VpFDgBN/VoxQ4oo0FllH5mJQ4jUkooeHVhfk7AThIcTDc7Iu2blYPY6KMbK50nYOx0JWZEGRuHQoBp76O+zXYcquxzQWmK/hxaasJMWpYVX4h0cDrYFI7ul1L1hdq6D3hS4uLT83jw//Ti0nOGUcWVdikiHlUSmD+tgCs+MYTGaoGOrgwGcpOfytbMbk2n8MN0yjv4AAeAL116AeZOzg7fc93ZhX/7LsecaSW8ucfDz36TjoDNAkoyJBju+k0G37gti84+B0WNkBhQUxeurk8cQaXMU8kRn8QAUxZUj3xDwqvAw8sCqAyrbcWakF9nuu+tHUbBtRxloxmExUwrLy2wWzEplHsL7RAK/ttezEAtiQG3duxEceMBcGOATz5fF95XiowMXOyulGiuFbj+84P41HnDqHIkgry26BFz+Xk5TGspYcNWB1fctgA7/cuLr3fkeqpTbKg6vf+Pxv2mKKq1tc2BlOLZzu4zlg+Kx9LMHYTnSP34Age27Hbx4KNJXH9nFXr7HbMmMQU3rHUj9iSw3iq+xMzOIXQkfKDbEqDJY6W2wJWCqyqC3r4B9KIJdfsSsJglBUh6Q9BYkzJFhQRcaVWE7E9pilZaCD1RygtDWBAqVFx0LDmPsvQdFi2rwCwhwmNT72GRbBhNOcg0feFhhLlkgdICAEwIgEsIH2ioEfiH/zWIlAc89GgS7XsczR2LJUCOMNRlarDi9ONyjc1zn+XsgOzwOwM4Y3XY2pH/ZrbxfNk2veuqBVNXpz53YQ7wAeZIPPlKAt+9I4vHXkxgpBSS5sjeEXpCrTgFt9qGyFtpgdpBJetN8ithcvFK8+0Ys6ZRkFdw6oxqoQ+Ag5fFgJMV7eShn6vCZo3vCvtirbkk2eoqUTks4UAjDwWLHDvhh3OmrLIwwMyZiKE5PHhqIMzsRxDMJVkQCAaEIK8W+P4VAzjjhBFcc0cWz6xLAtzBbSvrMbVJ4MPHL81/8rzTb2KO+BZjY9O849p+qSh2u+XH35OJ5uPXzJjInLOXDS0/enav4zklPPmKi7/7SQ0efTYJX4amVwOZgJvH8W0z1kTFeOu6JkzNp0PqCnJpKCfag8kp+KVOS3MoJ9cx4qysL/ipLNonjFpkRG0JwhaUshH2oVxJ4cZ6zBOEl+vxlW9IqqKw8qdOeKMr76u6IY0BNmJ+Q6Wn2liWQY2DJNTOzB2gj0TPA2ZN8zF3qo9N2xzs7Eqjd7AOU6dMKxyzcMYPqjMd/8ASx5b2hcPR2gFbcNU+cdpQIV9qvWFCpruwdWfntQ+s4fzXj2fw4iYHcIVJehEdnMHDKec2nDuR9TaKZFp5lUact+2Sp6yoAhC4+lnh/2i7Va7NarbxLDPqB2LJVdOKSeiyr/BZRmEgQlMECxIDIhc+07RIGlYc4ftU6KwI6YuMrL9266tp3gNrrkJupQzT3gjXV84jGVp/hN/ByPNJlhiYkDhpUR4/+YrAf/zJx8MvNArhtF375ttTfvzI2oHCO8XnO7kEur25+d/RXJ9a8PCTHS//7XfWOr19EowNwUsUUCoE9S3KwBtOJRJfjcrMrQycOkFVKqWg6KhBOu22sRzp4Uz1c5POMKOPGXo5s/vC5UDdZESZCffhTOvhTqiHU8vucLqfrctHA+aApUlLo5emhk/1fV3fMTx+DnNKGO0AiyYuYGHJDzU3KbMql9HcW1VFQcXyqzIhjCSXc10FIUpkcYw4/yh8g4VWh/OA5xeKQMKVkDKJjj0ZPLP9PL8rN2dxgg+vv+yvzn/H2HzHFhwASs4cZJqqt1TXTvzcx8/N3v77xx/hF57Yi4+elMfqFxK46d4q7M05pmmTMK24oXdHzpBANSmfR4dm6TCLm8dZactHEX0lItpAdyh79NKBJipb6dGo+b6aptlE71arMm5HPSBlulOGLnooq80Crk3XIUn1YWXFEbn74wafPOTRiptzzb2DfcBMy62Dt1ho2dVvDi9xT47jpnursPqFBM45IYdzj/fQ2HyuWL54yed2Dk3aUpvoGQ9ojg/AZ886BuvXbymcdsryO0eGn85ccgpuPGryIKrrfCw9qoB8geHGu6uQl4QQUqqiga4oS/A34NsylpqMVs+bDji1Fw4Wn4W1jBhAU+BScGu6w4z18ka2k33KBoxx4LVXyWCTqijq84xt2v1u9gFBzqaDKKYlTLdUfp1IiQFxBolgLGLQISUjcoQu/eBkMgJ2PfBkwWAzKHwokZcMt9+XwU33VGGw4OH5DTV45fVmfPQM+ZWLzjv+Tm/XG/7E1qPHA5oHpoPHtQUL5qBU3O6fdeanti5afPFAzp+CtRsc5EaAi07PYdaMkvllBpIo71aP+VA1gTU5K0ydW83SHDftSJkrnIJV32us/F4DUU/UmyR5cwUg26tjseKms6bSRus/WY6iB624E8lMGZE4igQISC0VREcZKj27TPOOZpIwHUZRwoSqcSxlZLDoj97ypov7VqWQ8iQWto2gtXUijl1+wcCJx12ydWP7Ln9i68zxguX4ARwAXK8akP0PZZtO+PyWgb/q+fufH4k1z3qYP7OAH32xH1UZQR5VFj0hYpzyWGp3PMpd8NEAUpZbZpABJ2IAT/ehPydssfTDAi0dtKp+Ju037X+Lx7n1Qwxws9BHwoztRhkJsm46ieh2dRNEMeSCbDcqY+lQW152o6hBZlm/DMYjgzmOr91Sgw1bUzhmaQE/+WoSt3771J4zTl72+Z09hYeqMgcuCcZicjw/jLEGAMDLW4buaWj5qHvZxYkfLGq+pzlZ2oalbQVMmVDChjc9RFY7JGQk5kTJeNqhAwJylEt+ZYFJLGYdiAU6YIKbPlRs17wdmBR/Aios76PFOn0I7aDKB7XQUUgyTAoTfr/xOSEtCdQVxZ0D3h1MHBtGFAoZFsMkjiMEkYWGri4YBIfOyI+suNSOIK2uKMGQA9v3uHh5UxJFJLBnqBXZpg92nrT0Q38H5O5hbOJ4whHAOFtw1RbPqcL86UP/euFZp3xjUuuyzu4BF2lPYMWpeTCdLk2pibLmwaJy4BhSIOHhUeAUiSuBBXaUW2/6zQFwy+lJsBrtrPcPsWRY+jGwlf1pRpBa7A7RZsOTGbMc7cRIcfxwXdL9SRob5c2kXxALH0dpZBnIieteREFZYMDK1UnkChL1tcDC+cd0Tpj0kW9s2+X+K2NNBwOKBwfgAMBYHXKdv7xTIHv1719c2LPzrQTmTSlCzz5EY7x1fCaJ70aUNBwB3ZL6UG6t6cBy1BxM4qFkMu73mytsFOCOiulRNsby7tgdY95HRpmKD0f0xYxFiTh5eRa9IJSFTkkYUZRom0o6FiGFiQvOsgEfJTM7kIxh4/Ykmpo4vvzXzT2TmpNX3/qL3905vbXqYMFwfCmK3TITLsenv33X3S11SwrHz+c/3dOzvhqOCzgejDhvZTeZxb0JkA1awiIQ2wAun/rP0GxMix6jqsB+D6El5lOA6WW6YAkmY26x76HhsaqLOgOVLBgIJIYlZ4SWMJgqi/ocGW4IDHtYFUtwgAuSKURyN6EkQg4JoRMnWNlNo+TCwHL7vhv8Pt9HbVZgTtuSgYtOr/nC9Im7fpGacNXBhODBBTgA3HHVsEBd6pfr1s4pPfNGzc/hdKbgJKNLShBGs3OMWoIE2DZlcYxtstyix4Ad1HqHYLHVk0pIHYu11mrofjSDh1vAVhTJVlm1HC6JHA4CckT8G8ozGSYMB2AN9W0EQAanMSS6Dr6OMRdAmIwcURsdPiuFToXTNIiFAVkIS0wMSnxhxYz8yudaL/vUzW33z2rpFvs6L++0vbMh/xjbhVfdjVQy4+RG+s/fubvr39au354SLLACwcUKPJcJDqRZkAXicjqXvNSePodH3NsxwG8lOijWY8SCx2TDkGWuYkvsfu25ZMbnUI8nU15KFXvCrfeFcSza26njWyyvplrm0vhd0WzT5jqdap2RfZm1TRsG2me8l3hI1QwdPPJeBt9V7uE0pn90fFIPXnkvJXzholgAEtlZ+aqGlktSjTUPoDDss+TVBx177yjYaqxt49O/xnF/uUJi8dLXZvrDm+ZPFme72OF19/nw/WBuS8bMiaJcptLQJAmiCjm5DQZmg7jcCWSAERbAidu9HPg0OIosc3M5er8daIXYPvvJAtIHhvinT8x7IgYVjRPsQbXqA6PUipmDaBJ3E6yafgDTdxBD8QhtVDeI5wj4YgQvtSeRl0uHGxpmXFozqeH+/l1Fkao/uNREtYM2yLTbz771Mcze9oq89dqf3ff1v6677Dt/U9u3ZNpIUChaXyTq2DG9ljT+27RskcUaFRQKBLAAQi/yKI0ORKlXE8avxxh7KzdZtkD0btoR80URT2d6IKoGn3ZFLBkzuDQHibAGllT/jgahRtEgPdgFIIOb/rXtHla9PLfvjy+1XdY0s/e+nZu4rG39/HhCa9T2rlhw1R5btRKf/vhVuPquxlddb8KudO2sk/f0DGf6+4fBHAfJMMHeC4OGHCZ1IrHDyylIWYAVtbyIrHaZJUYMT6f0BLTfDE1VnwlmW/bIQhtJyLHWPH5ssE8tX/9XVhjWTWr3k/XoPtBLhnWOiaIJfmskt1I/VpnsCjUmkuCOD84LEHwCJkw6qXvZ4oYvfeSsvnuHvYlYccGl7ybkDv4g026t864EANzW2Xt3MuG60yetvuHmu1c37+4dgeM6Iec2wW1Tj0pBVeqEc8CM6Y4BiuGaZ2RwST+PPrbjzfa73kyVBLoalSTHH/QT6x1GXwV7qj3UgyCoXwgepCaofYL6KVK79lW8ShCXEqopAhDg+ktFuD+kj0SyBqmGszpZ9ryvQxbuZqz+kJyvdx3gqk1orkNPb/+/fOZjpzDJ3etvvuex5sHefrguh+eQ+BNuauF0JjTq6KGaePl8O2Zct81hGTVDoPFOo0VFHfw25m+32EuANwaE1tfoI6GIAgw8XFcgVzcCZ6GKEmb4CBG8jfOgHgoQyIlQy2Gst898pNK1SDac15lsOOsbkKV/Yc6hATdwCAEOAA11NejuG77zb847vpRKeDf+6oEn6vu7u3S4Hc3OsS1xWWzKaOBmJogZeYU4qMDHDwOTPZYmI/6tLTuDwcFFGM8Xtcog52A6dFZAapCrpweAsBh+BHLfZyiWkkikm5CZ8MG9bs2pX/N9/nPXG9/Ykv1thxTgANBYm0F+pHDPJ876QE9Xx55ZTEz94cr/96wnwZF2mJbTKAc9IHCjnOeqPqpGUNf9e6WFlU3MPnXTglCRMEPS8PmPYsl1pSp6B0k1iav6GA7mFOELoLr5pKKXYlenak/dyt2q33Ge2NdPP+jtkAMcAFLJhHhp3WsPfeuzZyb++PSW4YGSe9vqJ15mrhjmrsO1wyEO0GUx4XRQCZOKcAu41EsZ1w4U5NRpIxGVVB61sTF1lX+XtZ+mITIYJGpPJ1SorARnjCgxTP9KSATOnpCOKF7POU2GkPqpUBQcXAhkUklRP2Wp9KqOvIKlltzVu7ej0NQy98BO3ji3wwLgALBk0Tw8/OTGQvMRE++Z01Za7fjDF/W8ved7W97YBV84AUwYDC9mbNKDUitgWmoKbtsVzySj4TDv3WZJmdLiKkFfGDFouU2FCk4TpEx0mKMQGmoSwBa49YdzDOnsFDiZhm/XN029z0017vD9TYVkw/gkK4xHO2wADgBnHn8kAORu++eVm+fOmXeDnJJNVNdUf/PJF7c5IyMFZBIMzLHqCVagJGUgtsBtcBIL1QcGcmJLD+ADxuPGioaPkV4CkAwiCnIFVoTz+mjDoJ44EkyY54YzBjgCrlOE4ybgpdv8Ipt8XVtb/Q2vtQ/4Ry49chyOYnzbYWuw7v2P/8QnP34Bdu7uuu7u+9d85Q9/fiE5MtSLlOsj4RG9mhNgowIlIdcpTvuNkxH100Ctc2Zp7cRtr8tJsMidr9z2Y3XVq2XdL2MomSxbpoNu81isYDTICuchcuObhsDs5yyYK7U646OuLo26lmNH6iae/o+pTPM3n37iQRx34kcPNWRi22ELcADo7OmHX5JgHNevXff68rvufYgneW752509roQD1wlAZMh9qKCPW8bVzqfklmzIQjMf67aPiUuhQI5AfwCxKCTWhFIvNUdpVJcl2g4b4EAwkwbijr8c6GapDWm8J3C7CxRGBNJVDaXmRjw1Z8E5oqq27SkJ+Q3GHLiJ2kMNlYrtsAY4bb9a+SASCbe6v3/on17Z+ObHNmzZxUUxj0Si3BlrO4Hsoy2fR6dcF1cAt/l9OahJDAuPATjptwFuREnGADwCs71uhibEApzJMnDrU8AALSCqpx2X5rnS+5dQk/UAb7LI1M74VTJV/WnhFweOWX7WoYbEmNp7BuAA0L71TWSr0k2b2juufOSx544q5vvO37CxHeAuHM41B7WlwtgDt9QUdeHpf3vAqqkIAbh24SvwksArA+yjANyxgU7rnhAKoqVQBXKUW2AgAngcJQEiAcW+GThXHk4GKX0UCgJNLTPR0lz1QHPr0a8mqybfLEq5rpYjph9qKIy5vacArtq27TtQnc1OW79h000vrdt0/tqX1qOruw9gDjyXh4AxNXDV7DilSnq4PXCNNHaTe5cBnFjv/QW4Q/i3DXqzcoC0NH+LjiAEOCodf6Sa06eB6wgw+BgpSHjJWkyafCQaW9oemDR5zpfy+aFtE1paD/Wl3+/2ngQ4AHR3dcPzvNkbNm1dNDw0fOWTz7928tqXXkNpZACZtKsPjXMgLEgWzhlp6tQ2Ny8HucXDOaUtEWijgWXQ7/CxAdy02tEAkpcNQk2Kwlll6x0dR2TFlWwYRAiGsSThjQIE+rbnFNHYkEJjyzxk6+Y/nkqlb25onrFO+KX2mrqGQ33JD6gdVjLh/rTGpkYAaJdStgN49e3ewhFLF827Y2v75tmvvvqK07U3D9fh8DwOzhhKIpgGT+gCIawcFEDk3mbQBUck5ewxASIqk1xt5vqjxujkoY1Fn08WdYcxXrDqMNpNhhIgpV6QQMln8P3A/Z70fHAuMZBPYu7cJf7s2TPbHZ7/zMRpy3YD2Fw2+dZ7rL23fz1pb+3phi/8abt27mgF91b++38+WtPX1VHFkUc66WIo56NvyEfJDxMpnEhqpI369wBKE2KyemxrzqNMnvLlfVtwoxYhoUV2ZVzGpMHRLVemsaje7zoSjiNRLDHsHXAxOMyQ9ASOaE5ixoymoebJH+4fKfgrWltbOzjn29JVjYf6ko5Le98AHIAqts679g7WvrZp63EuFz/buX1rqafz9YbHXtxRvW2XQMoBqpJAOuUEj2cSZqFq9tEWKRykeCYdxFKawk16sj8AV5NoxaWrGd5bUnBTFdpk+vhphn003uBMIpkoIZvxkUkWsKNTYkfnzIEli+b2zJs7002n5OVNE2Y+7Xg1fUJCOPz9A4t3LaPn3WhhgoHIDw/snT1j0sP1dTVt37/50Vmf/Pj5112y4sj1zZOaX/JStflstgopD0i4DL6QkCLitEBAZXwhQ0pj1RuJSaYJouxkVB7tgA/AHDBqSkS2A2S7SgwhnD1KOA7yLIfzEoPDQCKRQVNDOl/XkH3Jq1+8/syzV1y39ZVVs1KZmrZ09eSH+weH9zLG3lfg1qfs/dzyA1vguR7781O/x7rNzU5DbfY2V+bbhvp2ntjVvctZu2EIKVcCKIExjpEiR7EUwDmgMoDDWfgi1IYO7AwrHu7rRBbf4czYh1pnZbVdB2VgjZxPUUKx44SJ2I6A6wTFSbkTcP1CkWMoL1EqCWTSDrIZgc0dGUxobvWXHDX5iaZ6Z3Op2Pu5Zzb2+UctOAe+X5SL5o9fHcDDsb1nB5ljbanqOUBkB0t7e/s/zXiqXhb3fH/t879NvLZztz+9JfsXriOPfruzG0NDe7GjU0LKBKpSAGMcnFE+C6I8qDFnmCig5pZXg1Ij1cJsVu2eYH/N7SP5zi6uySQDYyKMlhTg3EcmWcRIYQR7elJIpepRU9+IhIe1tdVdL6Rz050TTz2rMGtq0/8eGh7Zm62uCb/ts4f60rwr7X1vwffVHntsDRjDyblc4YzhXG5Fdbpz7rMbh7H6iW2oS5dQLOZRKJTguQzZjIt0ygtq90kJ35co+SCcmsF1GFyXwXU4XCew5DSmhfOo7oq6WTwX8BzA82RoySMr7vuB6iFl8B2eW0LSK8JzBRhzkUol0NJYgkxNQ/uuRkyZUL8pW51ZCZ74I6R8/JhjTzzUp/iQtv/yAFett7cPAM7MZIZmbdjSI6778a/FwtkNM5qbG7++uX0HMikXA32dyA33w3WC09Y3CBR9GQDUDeYT8hyOZJIj6XF4ngMnlGqkkIbyouardB0g4QFJD0gmBFwn2M9zBZKeRL7A8FZXEIPtcomJE2oxdUojXF5Edd0UDPT33JBN7nzjiNkr+GBhIm+qS24F8HB9fd2hPqWHRXvfU5Sxtrq6WgB4WK3v7NiDVCpZ9+b2XU8J6SCVcIoTmxdc5TjydAaAsxJefHkNVj9XwMQsRyrBMVKU8EUJfqkE4TiAlPCcYCA7kBdwGJBJczDGMJT34Qsg6XE1FTxqq4MnRG6EIZmQaGkcwroddTh62TKkki4czpDwsCqTHLzR4SVvwqQFqK494nG/VOjNZCcc6lN4WLb/BniFNrm1BQB6ATwIAG+99RYA9poQfgsghcMK6Ol+Bv5zEomEg2SSo394uPihk469RpRy5wB+MeFxVKUDKvNWtw/P5aiv4Ui4wFvdJfgCyKRcuByoyrhec2PVb3fvWHsN5xnPcQUyaYYhP4WZs49EdVUCDOCO4+wB8EbzhJZDfYreE+2/Kco4tsfXPAkG1tLT01nr+0XpuRzZTDBfe0enQMJjaKh1kHQlOjpL8AVDVdoBZ0BVJsEmHdHSJ6Xcc9TiZYf6UN437f8DG5uHLP1ID9AAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTc6MjI6MzErMDA6MDDX/accAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE3OjIyOjMxKzAwOjAwpqAfoAAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 12753780
    {'hecke_orbit_code': 1305703613118, 'n': 1, 'trace_an': 28}
  • id: 12753781
    {'hecke_orbit_code': 1305703613118, 'n': 2, 'trace_an': 0}
  • id: 12753782
    {'hecke_orbit_code': 1305703613118, 'n': 3, 'trace_an': 0}
  • id: 12753783
    {'hecke_orbit_code': 1305703613118, 'n': 4, 'trace_an': 14}
  • id: 12753784
    {'hecke_orbit_code': 1305703613118, 'n': 5, 'trace_an': 0}
  • id: 12753785
    {'hecke_orbit_code': 1305703613118, 'n': 6, 'trace_an': 0}
  • id: 12753786
    {'hecke_orbit_code': 1305703613118, 'n': 7, 'trace_an': 0}
  • id: 12753787
    {'hecke_orbit_code': 1305703613118, 'n': 8, 'trace_an': 0}
  • id: 12753788
    {'hecke_orbit_code': 1305703613118, 'n': 9, 'trace_an': 0}
  • id: 12753789
    {'hecke_orbit_code': 1305703613118, 'n': 10, 'trace_an': 0}
  • id: 12753790
    {'hecke_orbit_code': 1305703613118, 'n': 11, 'trace_an': 0}
  • id: 12753791
    {'hecke_orbit_code': 1305703613118, 'n': 12, 'trace_an': 0}
  • id: 12753792
    {'hecke_orbit_code': 1305703613118, 'n': 13, 'trace_an': 2}
  • id: 12753793
    {'hecke_orbit_code': 1305703613118, 'n': 14, 'trace_an': -8}
  • id: 12753794
    {'hecke_orbit_code': 1305703613118, 'n': 15, 'trace_an': 0}
  • id: 12753795
    {'hecke_orbit_code': 1305703613118, 'n': 16, 'trace_an': -14}
  • id: 12753796
    {'hecke_orbit_code': 1305703613118, 'n': 17, 'trace_an': -16}
  • id: 12753797
    {'hecke_orbit_code': 1305703613118, 'n': 18, 'trace_an': 0}
  • id: 12753798
    {'hecke_orbit_code': 1305703613118, 'n': 19, 'trace_an': 0}
  • id: 12753799
    {'hecke_orbit_code': 1305703613118, 'n': 20, 'trace_an': 0}
  • id: 12753800
    {'hecke_orbit_code': 1305703613118, 'n': 21, 'trace_an': 0}
  • id: 12753801
    {'hecke_orbit_code': 1305703613118, 'n': 22, 'trace_an': 0}
  • id: 12753802
    {'hecke_orbit_code': 1305703613118, 'n': 23, 'trace_an': 8}
  • id: 12753803
    {'hecke_orbit_code': 1305703613118, 'n': 24, 'trace_an': 0}
  • id: 12753804
    {'hecke_orbit_code': 1305703613118, 'n': 25, 'trace_an': 14}
  • id: 12753805
    {'hecke_orbit_code': 1305703613118, 'n': 26, 'trace_an': -8}
  • id: 12753806
    {'hecke_orbit_code': 1305703613118, 'n': 27, 'trace_an': 0}
  • id: 12753807
    {'hecke_orbit_code': 1305703613118, 'n': 28, 'trace_an': 0}
  • id: 12753808
    {'hecke_orbit_code': 1305703613118, 'n': 29, 'trace_an': 16}
  • id: 12753809
    {'hecke_orbit_code': 1305703613118, 'n': 30, 'trace_an': 0}
  • id: 12753810
    {'hecke_orbit_code': 1305703613118, 'n': 31, 'trace_an': 0}
  • id: 12753811
    {'hecke_orbit_code': 1305703613118, 'n': 32, 'trace_an': 0}
  • id: 12753812
    {'hecke_orbit_code': 1305703613118, 'n': 33, 'trace_an': 0}
  • id: 12753813
    {'hecke_orbit_code': 1305703613118, 'n': 34, 'trace_an': 0}
  • id: 12753814
    {'hecke_orbit_code': 1305703613118, 'n': 35, 'trace_an': 68}
  • id: 12753815
    {'hecke_orbit_code': 1305703613118, 'n': 36, 'trace_an': 0}
  • id: 12753816
    {'hecke_orbit_code': 1305703613118, 'n': 37, 'trace_an': 0}
  • id: 12753817
    {'hecke_orbit_code': 1305703613118, 'n': 38, 'trace_an': 0}
  • id: 12753818
    {'hecke_orbit_code': 1305703613118, 'n': 39, 'trace_an': 0}
  • id: 12753819
    {'hecke_orbit_code': 1305703613118, 'n': 40, 'trace_an': 0}
  • id: 12753820
    {'hecke_orbit_code': 1305703613118, 'n': 41, 'trace_an': 0}
  • id: 12753821
    {'hecke_orbit_code': 1305703613118, 'n': 42, 'trace_an': 0}
  • id: 12753822
    {'hecke_orbit_code': 1305703613118, 'n': 43, 'trace_an': -4}
  • id: 12753823
    {'hecke_orbit_code': 1305703613118, 'n': 44, 'trace_an': 0}
  • id: 12753824
    {'hecke_orbit_code': 1305703613118, 'n': 45, 'trace_an': 0}
  • id: 12753825
    {'hecke_orbit_code': 1305703613118, 'n': 46, 'trace_an': 0}
  • id: 12753826
    {'hecke_orbit_code': 1305703613118, 'n': 47, 'trace_an': 0}
  • id: 12753827
    {'hecke_orbit_code': 1305703613118, 'n': 48, 'trace_an': 0}
  • id: 12753828
    {'hecke_orbit_code': 1305703613118, 'n': 49, 'trace_an': 10}
  • id: 12753829
    {'hecke_orbit_code': 1305703613118, 'n': 50, 'trace_an': 0}
  • id: 12753830
    {'hecke_orbit_code': 1305703613118, 'n': 51, 'trace_an': 0}
  • id: 12753831
    {'hecke_orbit_code': 1305703613118, 'n': 52, 'trace_an': -2}
  • id: 12753832
    {'hecke_orbit_code': 1305703613118, 'n': 53, 'trace_an': 120}
  • id: 12753833
    {'hecke_orbit_code': 1305703613118, 'n': 54, 'trace_an': 0}
  • id: 12753834
    {'hecke_orbit_code': 1305703613118, 'n': 55, 'trace_an': 0}
  • id: 12753835
    {'hecke_orbit_code': 1305703613118, 'n': 56, 'trace_an': 8}
  • id: 12753836
    {'hecke_orbit_code': 1305703613118, 'n': 57, 'trace_an': 0}
  • id: 12753837
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  • id: 12753838
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  • id: 12753839
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  • id: 12753840
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  • id: 12753841
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  • id: 12753842
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  • id: 12753843
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  • id: 12753844
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  • id: 12753845
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  • id: 12753846
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  • id: 12753847
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  • id: 12753848
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  • id: 12753849
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  • id: 12753850
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  • id: 12753851
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  • id: 12753852
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  • id: 12753853
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  • id: 12753854
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  • id: 12753855
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  • id: 12753856
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  • id: 12753857
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  • id: 12753858
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  • id: 12753859
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  • id: 12753860
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  • id: 12753861
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  • id: 12753862
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  • id: 12753863
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  • id: 12753864
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  • id: 12753865
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  • id: 12753866
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  • id: 12753867
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  • id: 12753868
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  • id: 12753869
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  • id: 12753870
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  • id: 12753871
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  • id: 12753872
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  • id: 12753873
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  • id: 12753874
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  • id: 12753875
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  • id: 12753876
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  • id: 12753877
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  • id: 12753878
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  • id: 12753879
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  • id: 12753880
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  • id: 12753881
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  • id: 12753882
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  • id: 12753883
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  • id: 12753884
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  • id: 12753885
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  • id: 12753886
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  • id: 12753887
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  • id: 12753888
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  • id: 12753889
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  • id: 12753890
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  • id: 12753891
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  • id: 12753892
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  • id: 12753893
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  • id: 12753894
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  • id: 12753895
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  • id: 12753896
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  • id: 12753897
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  • id: 12753898
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  • id: 12753899
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  • id: 12753900
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  • id: 12753901
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  • id: 12753902
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  • id: 12753903
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  • id: 12753904
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  • id: 12753905
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  • id: 12753906
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  • id: 12753907
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  • id: 12753908
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  • id: 12753909
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  • id: 12753910
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  • id: 12753911
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  • id: 12753912
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  • id: 12753913
    {'hecke_orbit_code': 1305703613118, 'n': 251, 'trace_an': -116}
  • id: 12753914
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  • id: 12753915
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  • id: 12753916
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  • id: 12753917
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  • id: 12753918
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  • id: 12753919
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  • id: 12753920
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  • id: 12753921
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  • id: 12753922
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  • id: 12753923
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  • id: 12753924
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  • id: 12753925
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  • id: 12753926
    {'hecke_orbit_code': 1305703613118, 'n': 313, 'trace_an': -32}
  • id: 12753927
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  • id: 12753928
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  • id: 12753929
    {'hecke_orbit_code': 1305703613118, 'n': 337, 'trace_an': 64}
  • id: 12753930
    {'hecke_orbit_code': 1305703613118, 'n': 343, 'trace_an': 0}
  • id: 12753931
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  • id: 12753932
    {'hecke_orbit_code': 1305703613118, 'n': 349, 'trace_an': 0}
  • id: 12753933
    {'hecke_orbit_code': 1305703613118, 'n': 353, 'trace_an': 0}
  • id: 12753934
    {'hecke_orbit_code': 1305703613118, 'n': 359, 'trace_an': 0}
  • id: 12753935
    {'hecke_orbit_code': 1305703613118, 'n': 361, 'trace_an': 196}
  • id: 12753936
    {'hecke_orbit_code': 1305703613118, 'n': 367, 'trace_an': -4}
  • id: 12753937
    {'hecke_orbit_code': 1305703613118, 'n': 373, 'trace_an': 88}
  • id: 12753938
    {'hecke_orbit_code': 1305703613118, 'n': 379, 'trace_an': 0}
  • id: 12753939
    {'hecke_orbit_code': 1305703613118, 'n': 383, 'trace_an': 0}
  • id: 12753940
    {'hecke_orbit_code': 1305703613118, 'n': 389, 'trace_an': 24}
  • id: 12753941
    {'hecke_orbit_code': 1305703613118, 'n': 397, 'trace_an': 0}
  • id: 12753942
    {'hecke_orbit_code': 1305703613118, 'n': 401, 'trace_an': 0}
  • id: 12753943
    {'hecke_orbit_code': 1305703613118, 'n': 409, 'trace_an': 0}
  • id: 12753944
    {'hecke_orbit_code': 1305703613118, 'n': 419, 'trace_an': 152}
  • id: 12753945
    {'hecke_orbit_code': 1305703613118, 'n': 421, 'trace_an': 0}
  • id: 12753946
    {'hecke_orbit_code': 1305703613118, 'n': 431, 'trace_an': 0}
  • id: 12753947
    {'hecke_orbit_code': 1305703613118, 'n': 433, 'trace_an': 112}
  • id: 12753948
    {'hecke_orbit_code': 1305703613118, 'n': 439, 'trace_an': -76}
  • id: 12753949
    {'hecke_orbit_code': 1305703613118, 'n': 443, 'trace_an': -92}
  • id: 12753950
    {'hecke_orbit_code': 1305703613118, 'n': 449, 'trace_an': 0}
  • id: 12753951
    {'hecke_orbit_code': 1305703613118, 'n': 457, 'trace_an': 0}
  • id: 12753952
    {'hecke_orbit_code': 1305703613118, 'n': 461, 'trace_an': 0}
  • id: 12753953
    {'hecke_orbit_code': 1305703613118, 'n': 463, 'trace_an': 0}
  • id: 12753954
    {'hecke_orbit_code': 1305703613118, 'n': 467, 'trace_an': 84}
  • id: 12753955
    {'hecke_orbit_code': 1305703613118, 'n': 479, 'trace_an': 0}
  • id: 12753956
    {'hecke_orbit_code': 1305703613118, 'n': 487, 'trace_an': 0}
  • id: 12753957
    {'hecke_orbit_code': 1305703613118, 'n': 491, 'trace_an': -44}
  • id: 12753958
    {'hecke_orbit_code': 1305703613118, 'n': 499, 'trace_an': 0}
  • id: 12753959
    {'hecke_orbit_code': 1305703613118, 'n': 503, 'trace_an': 168}
  • id: 12753960
    {'hecke_orbit_code': 1305703613118, 'n': 509, 'trace_an': 0}
  • id: 12753961
    {'hecke_orbit_code': 1305703613118, 'n': 512, 'trace_an': 0}
  • id: 12753962
    {'hecke_orbit_code': 1305703613118, 'n': 521, 'trace_an': 192}
  • id: 12753963
    {'hecke_orbit_code': 1305703613118, 'n': 523, 'trace_an': -28}
  • id: 12753964
    {'hecke_orbit_code': 1305703613118, 'n': 529, 'trace_an': -14}
  • id: 12753965
    {'hecke_orbit_code': 1305703613118, 'n': 541, 'trace_an': 0}
  • id: 12753966
    {'hecke_orbit_code': 1305703613118, 'n': 547, 'trace_an': -112}
  • id: 12753967
    {'hecke_orbit_code': 1305703613118, 'n': 557, 'trace_an': 0}
  • id: 12753968
    {'hecke_orbit_code': 1305703613118, 'n': 563, 'trace_an': 28}
  • id: 12753969
    {'hecke_orbit_code': 1305703613118, 'n': 569, 'trace_an': -160}
  • id: 12753970
    {'hecke_orbit_code': 1305703613118, 'n': 571, 'trace_an': -8}
  • id: 12753971
    {'hecke_orbit_code': 1305703613118, 'n': 577, 'trace_an': 0}
  • id: 12753972
    {'hecke_orbit_code': 1305703613118, 'n': 587, 'trace_an': 0}
  • id: 12753973
    {'hecke_orbit_code': 1305703613118, 'n': 593, 'trace_an': 0}
  • id: 12753974
    {'hecke_orbit_code': 1305703613118, 'n': 599, 'trace_an': 0}
  • id: 12753975
    {'hecke_orbit_code': 1305703613118, 'n': 601, 'trace_an': 88}
  • id: 12753976
    {'hecke_orbit_code': 1305703613118, 'n': 607, 'trace_an': -136}
  • id: 12753977
    {'hecke_orbit_code': 1305703613118, 'n': 613, 'trace_an': 0}
  • id: 12753978
    {'hecke_orbit_code': 1305703613118, 'n': 617, 'trace_an': 0}
  • id: 12753979
    {'hecke_orbit_code': 1305703613118, 'n': 619, 'trace_an': 0}
  • id: 12753980
    {'hecke_orbit_code': 1305703613118, 'n': 625, 'trace_an': 10}
  • id: 12753981
    {'hecke_orbit_code': 1305703613118, 'n': 631, 'trace_an': 0}
  • id: 12753982
    {'hecke_orbit_code': 1305703613118, 'n': 641, 'trace_an': 42}
  • id: 12753983
    {'hecke_orbit_code': 1305703613118, 'n': 643, 'trace_an': 0}
  • id: 12753984
    {'hecke_orbit_code': 1305703613118, 'n': 647, 'trace_an': 320}
  • id: 12753985
    {'hecke_orbit_code': 1305703613118, 'n': 653, 'trace_an': 116}
  • id: 12753986
    {'hecke_orbit_code': 1305703613118, 'n': 659, 'trace_an': -182}
  • id: 12753987
    {'hecke_orbit_code': 1305703613118, 'n': 661, 'trace_an': 0}
  • id: 12753988
    {'hecke_orbit_code': 1305703613118, 'n': 673, 'trace_an': -16}
  • id: 12753989
    {'hecke_orbit_code': 1305703613118, 'n': 677, 'trace_an': -12}
  • id: 12753990
    {'hecke_orbit_code': 1305703613118, 'n': 683, 'trace_an': 0}
  • id: 12753991
    {'hecke_orbit_code': 1305703613118, 'n': 691, 'trace_an': 0}
  • id: 12753992
    {'hecke_orbit_code': 1305703613118, 'n': 701, 'trace_an': -40}
  • id: 12753993
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  • id: 12753994
    {'hecke_orbit_code': 1305703613118, 'n': 719, 'trace_an': -56}
  • id: 12753995
    {'hecke_orbit_code': 1305703613118, 'n': 727, 'trace_an': 88}
  • id: 12753996
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  • id: 12753997
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  • id: 12753998
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  • id: 12753999
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  • id: 12754000
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  • id: 12754001
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  • id: 12754002
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  • id: 12754003
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  • id: 12754004
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  • id: 12754005
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  • id: 12754006
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  • id: 12754007
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  • id: 12754008
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  • id: 12754009
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  • id: 12754010
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  • id: 12754011
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  • id: 12754012
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  • id: 12754013
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  • id: 12754014
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  • id: 12754015
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  • id: 12754016
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  • id: 12754017
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  • id: 12754018
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  • id: 12754019
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  • id: 12754020
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  • id: 12754021
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  • id: 12754022
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  • id: 12754023
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  • id: 12754024
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  • id: 12754025
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  • id: 12754026
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  • id: 12754027
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  • id: 12754028
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  • id: 12754029
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  • id: 12754030
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  • id: 12754031
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  • id: 12754032
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  • id: 12754033
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  • id: 12754034
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  • id: 12754035
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  • id: 12754036
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  • id: 12754037
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