Embedded newform data - 756.2.bi.c.307.17

Formats: - HTML - YAML - JSON - 2025-09-05T09:18:34.521939

• 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': 3024, 'analytic_conductor': 6.036690392808797, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 252, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 35, 'char_orbit_label': 'bi', 'char_order': 6, 'char_parity': 1, 'char_values': [756, 6, [379, 29, 325], [3, 2, 3]], 'cm_discs': [], 'conrey_index': 307, 'dim': 80, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [3370896, 0, -465712416, 0, 61591708476, 0, -371823512760, 0, 1683338096629, 0, -2526088619506, 0, 2423038916979, 0, -1618039070798, 0, 818404822472, 0, -319950684900, 0, 99265144659, 0, -24482028372, 0, 4848544452, 0, -766064542, 0, 96876664, 0, -9662658, 0, 757017, 0, -45000, 0, 1986, 0, -58, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9009535750505204, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 9, 3, 1, 3, 0], [1, 1, 28, 4, 1, 2, 0], [1, 1, 36, 6, -1, 6, 0], [1, 1, 63, 12, -1, 6, 0], [1, 1, 252, 35, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '756.2.bi.c', 'level': 756, '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, 7], 'level_radical': 42, 'minimal_twist': '252.2.bi.c', 'prim_orbit_index': 35, 'related_objects': [], 'relative_dim': 40, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '756.2.bi', 'trace_display': [6, 0, 0, 0], 'traces': [80, 6, 0, -2, 0, 0, 0, 24, 0, 0, 0, 0, 0, -10, 0, -18, 0, 0, 0, 0, 0, -14, 0, 0, 32, 0, 0, 28, -8, 0, 0, 16, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 84, 0, 24, 0, 0, -24, 12, 0, 0, 48, 0, 0, -32, 0, -14, 0, 0, 0, 0, 0, -8, 40, 0, 0, 0, 0, -22, 0, 0, 0, -64, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 40, 52, 0, 6, 0, 0, 0, -30, 0, 0, 0, 0, 0, -20, 0, -12, 0, 0, 0, 0, 0, -52, 0, 0, -160, 0, 0, 0, -96, 0, 0, -184, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, -22, 0, 24, 0, 0, -28, 132, 0, 0, -32, 0, 0, -76, 0, -6, 0, 0, 0, 0, 0, -64, -24, 0, 0, 0, 0, -16, 0, 0, 0, -128, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 32, -268, 0, 40, 0, 0, 0, 52, 0, 0, 0, 0, 0, 62, 0, -50, 0, 0, 0, 0, 0, -212, 0, 0, 32, 0, 0, 10, -128, 0, 0, 178, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, -98, 0, 34, 0, 0, -64, 32, 0, 0, 24, 0, 0, 104, 0, 224, 0, 0, 0, 0, 0, 46, -272, 0, 0, 0, 0, 38, 0, 0, 0, 268, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -64, 46, 0, 110, 0, 0, 0, -64, 0, 0, 0, 0, 0, 60, 0, -132, 0, 0, 0, 0, 0, -20, 0, 0, 64, 0, 0, 104, -88, 0, 0, 228, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 364, 0, 52, 0, 0, -52, -82, 0, 0, 208, 0, 0, -154, 0, -110, 0, 0, 0, 0, 0, -36, -64, 0, 0, 0, 0, -20, 0, 0, 0, -182, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 168, 0, 10, 0, 0, 0, 66, 0, 0, 0, 0, 0, -236, 0, 60, 0, 0, 0, 0, 0, 84, 0, 0, -304, 0, 0, 18, 128, 0, 0, -412, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26, 0, 4, 0, 0, -32, 180, 0, 0, 72, 0, 0, -100, 0, 46, 0, 0, 0, 0, 0, 130, 224, 0, 0, 0, 0, 56, 0, 0, 0, -266, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, -48, -364, 0, -76, 0, 0, 0, 82, 0, 0, 0, 0, 0, 210, 0, -46, 0, 0, 0, 0, 0, 36, 0, 0, 136, 0, 0, 134, 32, 0, 0, 228, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, -172, 0, -16, 0, 0, 312, -118, 0, 0, 56, 0, 0, 304, 0, 244, 0, 0, 0, 0, 0, 144, 512, 0, 0, 0, 0, -48, 0, 0, 0, 656, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 112, 236, 0, -234, 0, 0, 0, -444, 0, 0, 0, 0, 0, 254, 0, -30, 0, 0, 0, 0, 0, 216, 0, 0, -32, 0, 0, 68, 304, 0, 0, 160, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 328, 0, -128, 0, 0, -96, -38, 0, 0, -480, 0, 0, -254, 0, 2, 0, 0, 0, 0, 0, 172, 128, 0, 0, 0, 0, 2, 0, 0, 0, -376, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -320, 224, 0, -118, 0, 0, 0, 106, 0, 0, 0, 0, 0, -384, 0, 56, 0, 0, 0, 0, 0, -48, 0, 0, 400, 0, 0, -70, -8, 0, 0, -576, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, -360, 0, -46, 0, 0, -96, 172, 0, 0, 0, 0, 0, -242, 0, -128, 0, 0, 0, 0, 0, 60, -344, 0, 0, 0, 0, -204, 0, 0, 0, -222, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -136, -692, 0, -200, 0, 0, 0, 80, 0, 0, 0, 0, 0, 258, 0, 6, 0, 0, 0, 0, 0, 240, 0, 0, -56, 0, 0, -196, 96, 0, 0, 440, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, -358, 0, -2, 0, 0, 272, 2, 0, 0, -240, 0, 0, 532, 0, -324, 0, 0, 0, 0, 0, -128, -464, 0, 0, 0, 0, -44, 0, 0, 0, 904, 0, 0, 220, 0, 0, 0, 0, 0, 0, 0, -208, 274, 0, 154, 0, 0, 0, -400, 0, 0, 0, 0, 0, 292, 0, -100, 0, 0, 0, 0, 0, -100, 0, 0, 128, 0, 0, -532, -160, 0, 0, 564, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 688, 0, -140, 0, 0, 64, -216, 0, 0, -112, 0, 0, -130, 0, -26, 0, 0, 0, 0, 0, -152, -336, 0, 0, 0, 0, 0, 0, 0, 0, -502, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -96, 312, 0, 122, 0, 0, 0, 110, 0, 0, 0, 0, 0, -480, 0, -120, 0, 0, 0, 0, 0, -62, 0, 0, 112, 0, 0, 68, 384, 0, 0, -824, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, -380, 0, 0, 0, 0, -168, -220, 0, 0, -208, 0, 0, -136, 0, 38, 0, 0, 0, 0, 0, -100, 128, 0, 0, 0, 0, -396, 0, 0, 0, -604, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -120, -592, 0, -88, 0, 0, 0, 136, 0, 0, 0, 0, 0, 188, 0, 54, 0, 0, 0, 0, 0, -436, 0, 0, 144, 0, 0, 122, 336, 0, 0, 322, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, -330, 0, 180, 0, 0, 200, -170, 0, 0, 40, 0, 0, 720, 0, 424, 0, 0, 0, 0, 0, -6, 832, 0, 0, 0, 0, 172, 0, 0, 0, 1144, 0, 0], '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], [-0.20795632661359478, -0.9781381120380598], [0.0, 0.0], [-0.9135083324427598, 0.4068200174003834], [-0.1860905048658514, -0.10743940307793266], [0.0, 0.0], [-0.995989608164637, 0.08946899143308233], [0.5878960009050085, 0.8089365192151349], [0.0, 0.0], [-0.06639187707557342, 0.2043649186953375], [0.6974293530422871, -0.40266102471971105], [0.0, 0.0], [1.5218039818883633, 0.8786139385970909], [0.294635370625536, 0.9556097521354379], [0.0, 0.0], [0.6689949468847034, -0.7432669513995176], [0.0, 0.5748208206017466], [0.0, 0.0], [0.9640619756894923, 0.0], [0.21370372661308656, 0.02244144751679598], [0.0, 0.0], [-0.5388929408418186, -0.5984463230935312], [-0.8660014173004116, -0.4999861513969901], [0.0, 0.0], [-0.476913549332515, -0.8260384982619222], [0.5429370132102367, -1.6712478009184388], [0.0, 0.0], [0.8734470294331939, -0.4869191788935093], [-0.26936876784772235, -0.4665603918844809], [0.0, 0.0], [0.56467799847191, -0.978050983269649], [-0.8661394642594084, -0.4998023894024769], [0.0, 0.0], [0.5622541522235606, -0.11953762631335138], [0.19495670405805385, 0.09035919918741182], [0.0, 0.0], [0.7717990745292289, 0.0], [-0.20048278709223152, -0.9429857607886017], [0.0, 0.0], [-0.022490206864613376, -0.21369860067430682], [1.5819629898403984, 0.9133467580323793], [0.0, 0.0], [0.17732558519845704, -0.10237897434853709], [-0.47329696021136347, 0.6515624227715975], [0.0, 0.0], [-0.308965036588667, 0.9510442747426953], [-0.5438951950076699, -0.9420541117458666], [0.0, 0.0], [0.9839905991438941, -0.17822037144064184], [-0.7088025473292294, 0.638267250489436], [0.0, 0.0], [-1.7476183555878784, -0.18352083151699708], [1.2358180296757806, 0.0], [0.0, 0.0], [-0.17304664055453778, 0.0], [-0.6579130420905028, -0.7530939045346339], [0.0, 0.0], [-0.4003435614035809, 0.3605040432642854], [0.018285522411253162, -0.03167145385922985], [0.0, 0.0], [1.2191912765419224, -0.7039004117051223], [-1.0740973045340778, -0.3489411816131738], [0.0, 0.0], [-0.3087565842397964, 0.9511410892651907], [-0.18879551419764565, -0.3270034228314136], [0.0, 0.0], [0.2309835837848859, 0.13335843427658836], [-0.23384861623930522, -0.5251036092812803], [0.0, 0.0], [0.0478412964738394, -0.2094853495752678], [0.0, -0.02358808125688618], [0.0, 0.0], [0.0, 0.5675800617799212], [-0.1605005004228705, -0.7549260896327417], [0.0, 0.0], [-0.8806786477835805, 0.39219970972504725], [-0.6586067122880198, 0.4634444970462767], [0.0, 0.0], [-0.3849117243578276, 0.22222888767223478], [-0.20434976500439686, 0.06643850448059266], [0.0, 0.0], [0.5644000613320052, -1.7373145289214211], [0.5591706598504712, 0.9685119929628306], [0.0, 0.0], [0.06175840584221907, -0.10696869671318202], [-0.13701675399414817, -0.15215855769407366], [0.0, 0.0], [0.7357431353276904, 0.3274532670954603], [0.0, 0.2832186950214978], [0.0, 0.0], [-1.5943096545697049, -0.7389360850129044], [0.9945038854224398, 0.10443480375222747], [0.0, 0.0], [-0.8083525834842135, 0.727910731741278], [-0.17940277977802777, -0.10357824319821149], [0.0, 0.0], [0.19040335360042476, -0.10992942745581274], [-0.37895120806794563, -0.9254166531373015], [0.0, 0.0], [0.7717134974064055, 0.5605750726428377], [-0.44810568448989707, 0.2587139375656436], [0.0, 0.0], [0.11138186817254808, -0.19291905471679213], [0.1839195738908559, 1.7475764368771332], [0.0, 0.0], [-0.2569961778142258, -1.2088007143696629], [0.0, 1.4337451342938192], [0.0, 0.0], [-1.0491554572979418, 0.0], [0.0359861437025448, 0.16926351428654432], [0.0, 0.0], [-0.5998126705045612, 0.8001404628577327], [0.444755622644563, -0.7703393353723142], [0.0, 0.0], [0.10743642730665097, 0.1860853506787998], [0.43587672067350797, 0.31662219875130243], [0.0, 0.0], [-0.03478164615422237, -0.0112994871658954], [-0.05142863907397501, -0.5725155638760085], [0.0, 0.0], [-0.17572819834334452, 0.3043701678532137], [-0.9420503590770589, -1.0461569095299936], [0.0, 0.0], [-0.11794733871896904, 1.1231800359346147], [0.0, 0.4198360343961198], [0.0, 0.0], [0.0, -0.12941851875887272], [0.9945552344119463, 0.10421077537279227], [0.0, 0.0], [-0.2805932890246351, 0.2526705184206327], [0.5411949144027681, -0.9373770885434839], [0.0, 0.0], [-0.9601957094134032, 0.08625365264392361], [0.08240846953570544, -0.2536665766702331], [0.0, 0.0], [-0.4649935537899643, 0.3379348616687021], [0.380939420762286, 0.6598064313661377], [0.0, 0.0], [-0.11666524614972502, 0.20207013380885308], [-0.21485450460831698, -0.003231591633336883], [0.0, 0.0], [-0.02307240126721099, 0.004905290730045035], [1.4151343553941036, 0.0], [0.0, 0.0], [0.0, 0.11576327850159004], [0.5551716900598573, -0.11803186470686959], [0.0, 0.0], [-0.7050448855540611, 0.3139833129295807], [0.006247432996297534, -0.010820871366469595], [0.0, 0.0], [-0.8860174988902828, 0.5115424414910238], [0.566768180132434, 0.7798649389219238], [0.0, 0.0], [0.5902741579457466, 0.5478321109379687], [-0.2101624276445524, 0.12133733417412758], [0.0, 0.0], [-0.7949926376838632, -0.45898921337054904], 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-0.2794628376216773, -0.28868756946612456, -0.21711437075501572, -0.3121869553949086, -0.2666973750233131, -0.25715222817315714, -0.40012790096663853, -0.34122402783679723, -0.3616385311884507, -0.011485285219159338, -0.14523286814474531, -0.3102667294229497, -0.1980482608018972, -0.3060094561334683, -0.42580350140886913, -0.4258948587624375, -0.035991956757679106, 0.3971409458749666, -0.38431973972400535, -0.026608380027476727, -0.3296697997291443, -0.171122317005062, -0.476726623281501, 0.0188985932614924, 0.21563920022613853, -0.44410782182103536, -0.31976266800683195, -0.46300944057908017, -0.45271586056181917, -0.34834535324489013, -0.1693442419962677, -0.3757934545564882, -0.11004652963011578, 0.059885756117195446, 0.15654241283027104, -0.13052274377771203, -0.44914055425266675, -0.34502866466872056, -0.48928500043039214, -0.3319742836378594, -0.2295762227046618, -0.3534041105080966, 0.08514519897526587, -0.4675444809198878, -0.13311589558133005, -0.10314106287794463, -0.22780921294793036, -0.18105832988757395, 0.1016717714844262, -0.23799089663841766, -0.22943977146802103, -0.3558905224084737, -0.2705696255487241, 0.1768717894091985, -0.07877245787349955, -0.22424986907673256, -0.4990799412222558, 0.012300310151415927, 0.11416284752802616, -0.22774101999180582, -0.4078335508453614, -0.46878851336313454, -0.16760071705477608, -0.3056034059359867, -0.08187826102619375, 0.09728770042391204, -0.10796463088541591, -0.4308789381954306, -0.13973258186473972, -0.4416739164520075, -0.30853894874743915, -0.16745571382848878, -0.08454999092525198, 0.3700378166188107, -0.40839386127631805, -0.04616422117985756, -0.2207519331578157, -0.42268413832457724, -0.28640717036509633, -0.13373002640917703, -0.10218571530635796, 0.1900372082006299, -0.28583859009532087, -0.313415817894136, -0.4626724058826788, -0.09904257261056297, -0.13374535740642357, 0.09297114261873715, -0.3601311687114748, -0.2557523882128969, -0.0454019190938397, -0.200263546945731, -0.02971958778831668, -0.13950227197883378, -0.3814541465193149, -0.47748668373619163, -0.16103263033400714, -0.267138225090199, -0.3766622615697391, -0.49205448015083186, 0.1664799810854721, -0.3798429149892186, 0.013741395580566923, 0.10531931103004327, 0.1743873943751978, -0.41074081496759013, -0.22349218641750832, -0.4538381204849375, -0.14575475450322517, -0.3995279890606504, -0.1301085134815033, -0.3000855821316988, -0.23989679993056298, -0.2281069740429988, -0.18396919640202397, -0.410464814002964, -0.033790910479875785, -0.4225333351026308, -0.3727100931155302], 'char_orbit_index': 35, 'conrey_index': 307, 'dual_conrey_index': 559, 'dual_embedding_index': 17, 'dual_embedding_m': 57, 'embedding_index': 17, 'embedding_m': 17, 'hecke_orbit': 3, 'hecke_orbit_code': 9009535750505204, 'label': '756.2.bi.c.307.17', 'level': 756, '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': 3024, 'analytic_conductor': 6.036690392808797, 'char_conductor': 252, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 35, 'char_orbit_label': 'bi', 'char_order': 6, 'char_parity': 1, 'char_values': [756, 6, [379, 29, 325], [3, 2, 3]], 'conrey_index': 307, 'cusp_dim': 264, 'dim': 88, 'eis_dim': 48, 'eis_new_dim': 16, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 2336495764212, 'hecke_orbit_dims': [4, 4, 80], 'label': '756.2.bi', 'level': 756, '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, 7], 'level_radical': 42, 'mf_dim': 312, 'mf_new_dim': 104, 'num_forms': 3, 'prim_orbit_index': 35, 'relative_dim': 44, 'sturm_bound': 288, 'trace_bound': 5, 'trace_display': [2, 0, 0, 0], 'traces': [88, 2, 0, -2, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -10, 0, 0, 24, 0, 0, -12, 12, 0, 0, 32, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 68, 0, -16, 0, 0, -2, 4, 0, 0, 16, 0, 0, -12, 0, 6, 0, 0, 0, 0, 0, -8, 52, 0, 0, 0, 0, -16, 0, 0, 0, -64, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 16, 56, 0, 14, 0, 0, 0, 10, 0, 0, 0, 0, 0, -64, 0, -12, 0, 0, 0, 0, 0, -36, 0, 0, -64, 0, 0, 0, -20, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54, 0, 36, 0, 0, -4, 12, 0, 0, -12, 0, 0, -64, 0, -22, 0, 0, 0, 0, 0, -64, -52, 0, 0, 0, 0, -36, 0, 0, 0, -116, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, -8, -220, 0, 24, 0, 0, 0, 52, 0, 0, 0, 0, 0, 68, 0, -10, 0, 0, 0, 0, 0, -116, 0, 0, -4, 0, 0, 10, -144, 0, 0, 194, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, -98, 0, 26, 0, 0, -4, -16, 0, 0, 0, 0, 0, 184, 0, 72, 0, 0, 0, 0, 0, 6, -160, 0, 0, 0, 0, 26, 0, 0, 0, 348, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, -104, 118, 0, 46, 0, 0, 0, -64, 0, 0, 0, 0, 0, 84, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 80, -84, 0, 0, 196, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 364, 0, 108, 0, 0, -42, -38, 0, 0, 136, 0, 0, -154, 0, -50, 0, 0, 0, 0, 0, -84, -156, 0, 0, 0, 0, 30, 0, 0, 0, -206, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 20, 128, 0, 10, 0, 0, 0, 74, 0, 0, 0, 0, 0, -276, 0, 92, 0, 0, 0, 0, 0, 92, 0, 0, -72, 0, 0, 30, 56, 0, 0, -412, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, -122, 0, -16, 0, 0, -26, 252, 0, 0, 4, 0, 0, -144, 0, 54, 0, 0, 0, 0, 0, 162, 244, 0, 0, 0, 0, 156, 0, 0, 0, -326, 0, 0, -188, 0, 0, 0, 0, 0, 0, 0, -4, -356, 0, -12, 0, 0, 0, 66, 0, 0, 0, 0, 0, 180, 0, -46, 0, 0, 0, 0, 0, 84, 0, 0, 16, 0, 0, 54, 192, 0, 0, 228, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, -252, 0, -72, 0, 0, 12, -82, 0, 0, 60, 0, 0, 352, 0, 44, 0, 0, 0, 0, 0, 144, 440, 0, 0, 0, 0, -18, 0, 0, 0, 752, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -56, 256, 0, -90, 0, 0, 0, -316, 0, 0, 0, 0, 0, 254, 0, -54, 0, 0, 0, 0, 0, 140, 0, 0, -24, 0, 0, 68, 244, 0, 0, 280, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 328, 0, -144, 0, 0, -66, -130, 0, 0, -160, 0, 0, -254, 0, 6, 0, 0, 0, 0, 0, 236, 156, 0, 0, 0, 0, -28, 0, 0, 0, -396, 0, 0, -34, 0, 0, 0, 0, 0, 0, 0, -80, 284, 0, -118, 0, 0, 0, 106, 0, 0, 0, 0, 0, -404, 0, -120, 0, 0, 0, 0, 0, -12, 0, 0, 80, 0, 0, -90, -148, 0, 0, -816, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, -336, 0, -138, 0, 0, -66, 212, 0, 0, -20, 0, 0, -242, 0, -32, 0, 0, 0, 0, 0, 12, -348, 0, 0, 0, 0, -168, 0, 0, 0, -338, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 20, -572, 0, -200, 0, 0, 0, 128, 0, 0, 0, 0, 0, 218, 0, 6, 0, 0, 0, 0, 0, 200, 0, 0, 64, 0, 0, -156, -256, 0, 0, 408, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, -342, 0, 38, 0, 0, 212, -114, 0, 0, -200, 0, 0, 508, 0, -180, 0, 0, 0, 0, 0, -208, -584, 0, 0, 0, 0, -84, 0, 0, 0, 912, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 32, 306, 0, 58, 0, 0, 0, -320, 0, 0, 0, 0, 0, 298, 0, -100, 0, 0, 0, 0, 0, -168, 0, 0, 112, 0, 0, -356, -124, 0, 0, 564, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 624, 0, -180, 0, 0, 94, -156, 0, 0, -176, 0, 0, -230, 0, -26, 0, 0, 0, 0, 0, -152, -172, 0, 0, 0, 0, -30, 0, 0, 0, -514, 0, 0, -236, 0, 0, 0, 0, 0, 0, 0, -80, 356, 0, 114, 0, 0, 0, 46, 0, 0, 0, 0, 0, -516, 0, -88, 0, 0, 0, 0, 0, -166, 0, 0, 232, 0, 0, 68, 396, 0, 0, -1016, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, -380, 0, 140, 0, 0, 12, 20, 0, 0, -64, 0, 0, -216, 0, -42, 0, 0, 0, 0, 0, -252, 248, 0, 0, 0, 0, -336, 0, 0, 0, -544, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, -120, -904, 0, 72, 0, 0, 0, 136, 0, 0, 0, 0, 0, 338, 0, 126, 0, 0, 0, 0, 0, -444, 0, 0, 72, 0, 0, 98, 656, 0, 0, 522, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, -250, 0, 216, 0, 0, 140, -130, 0, 0, 20, 0, 0, 720, 0, 272, 0, 0, 0, 0, 0, -102, 792, 0, 0, 0, 0, 132, 0, 0, 0, 1200, 0, 0], '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: 41963801
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 307, 'target_dim': 80, 'target_embedding_index': 17, 'target_hecke_orbit_code': 9009535750505204, 'target_is_minimal': False, 'target_label': '756.2.bi.c.307.17', 'target_level': 756, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41963802
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 139, 'target_dim': 80, 'target_embedding_index': 24, 'target_hecke_orbit_code': 9009535750504700, 'target_is_minimal': True, 'target_label': '252.2.bi.c.139.24', 'target_level': 252, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41963803
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 307, 'target_dim': 80, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9009535750505204, 'target_is_minimal': False, 'target_label': '756.2.bi.c.307.7', 'target_level': 756, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41963804
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 307, 'target_dim': 80, 'target_embedding_index': 18, 'target_hecke_orbit_code': 9009535750505204, 'target_is_minimal': False, 'target_label': '756.2.bi.c.307.18', 'target_level': 756, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 41963805
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 223, 'target_dim': 80, 'target_embedding_index': 34, 'target_hecke_orbit_code': 9009535750504700, 'target_is_minimal': True, 'target_label': '252.2.bi.c.223.34', 'target_level': 252, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41963806
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 559, 'target_dim': 80, 'target_embedding_index': 8, 'target_hecke_orbit_code': 9009535750505204, 'target_is_minimal': False, 'target_label': '756.2.bi.c.559.8', 'target_level': 756, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 41963807
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 139, 'target_dim': 80, 'target_embedding_index': 33, 'target_hecke_orbit_code': 9009535750504700, 'target_is_minimal': True, 'target_label': '252.2.bi.c.139.33', 'target_level': 252, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 41963808
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 139, 'target_dim': 80, 'target_embedding_index': 23, 'target_hecke_orbit_code': 9009535750504700, 'target_is_minimal': True, 'target_label': '252.2.bi.c.139.23', 'target_level': 252, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 41963809
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 307, 'target_dim': 80, 'target_embedding_index': 8, 'target_hecke_orbit_code': 9009535750505204, 'target_is_minimal': False, 'target_label': '756.2.bi.c.307.8', 'target_level': 756, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 41963810
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 559, 'target_dim': 80, 'target_embedding_index': 18, 'target_hecke_orbit_code': 9009535750505204, 'target_is_minimal': False, 'target_label': '756.2.bi.c.559.18', 'target_level': 756, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 41963811
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 223, 'target_dim': 80, 'target_embedding_index': 23, 'target_hecke_orbit_code': 9009535750504700, 'target_is_minimal': True, 'target_label': '252.2.bi.c.223.23', 'target_level': 252, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 41963812
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 223, 'target_dim': 80, 'target_embedding_index': 33, 'target_hecke_orbit_code': 9009535750504700, 'target_is_minimal': True, 'target_label': '252.2.bi.c.223.33', 'target_level': 252, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '63.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 41963813
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 559, 'target_dim': 80, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9009535750505204, 'target_is_minimal': False, 'target_label': '756.2.bi.c.559.7', 'target_level': 756, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '63.34', 'twisting_conrey_index': 34, 'weight': 2}
  • id: 41963814
    {'conductor': 84, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 139, 'target_dim': 80, 'target_embedding_index': 34, 'target_hecke_orbit_code': 9009535750504700, 'target_is_minimal': True, 'target_label': '252.2.bi.c.139.34', 'target_level': 252, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '84.83', 'twisting_conrey_index': 83, 'weight': 2}
  • id: 41963815
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 223, 'target_dim': 80, 'target_embedding_index': 24, 'target_hecke_orbit_code': 9009535750504700, 'target_is_minimal': True, 'target_label': '252.2.bi.c.223.24', 'target_level': 252, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '252.83', 'twisting_conrey_index': 83, 'weight': 2}
  • id: 41963816
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 307, 'source_dim': 80, 'source_embedding_index': 17, 'source_hecke_orbit_code': 9009535750505204, 'source_is_minimal': False, 'source_label': '756.2.bi.c.307.17', 'source_level': 756, 'target_conrey_index': 559, 'target_dim': 80, 'target_embedding_index': 17, 'target_hecke_orbit_code': 9009535750505204, 'target_is_minimal': False, 'target_label': '756.2.bi.c.559.17', 'target_level': 756, 'twist_class_label': '252.2.bi.c.139.23', 'twist_class_level': 252, 'twisting_char_label': '252.223', 'twisting_conrey_index': 223, 'weight': 2}
• hecke_orbit_code 9009535750505204 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': 35, 'hecke_orbit': 3, 'label': '756.2.bi.c', 'level': 756, 'portrait': 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SHGV4ZYC+I0YKEjGYx8Ak8gjGbtlGbNZMpiJ6QzEAwTn6W+YMOkZqGtOXlBUfMDNszAlrUR62eHrJsdsWF2xJb1hm0bFFdu9amrJsdOTvC1pwMePZjw5ImYVHX59pe3ue2lhrqa5eCJKY6d9ThzMeV8Bu7D84Ybr57j371ria1rJjl7cYoLSzUW2j6LbclSN6XbT+kO4eDxBQ6cbF/55KGLrzh66vyO42cufu6W135XdN+dH32+IfENPf5WM/jiUpthZPAU7/7KY0df+gu/9VfynS89/NJ/cdsZb355HQvtSRbadRaWAxbaHgttwWI7ZbEds7Cccn4ZjiwI1q5Z5pd/YIGb9jQ4dWGGsxebnJ33uLBgOD+fcHou5WI3YWpmyMuu7XHzXghknVCFXFiscW7e4/yioD+CJNHUAk2zljI9maCBE+cTOj3Yvt6nWR9hjAAR0Btotm0YsbDsgbFSZLkHowQMhsV2xOZ1Pt2BQiiD0CMmaj7bNg5Z7gtOnPVItcfshKRVE4Q+JImgP5KcX5ScWzBcWEoIwyH4Cbdc1eOlVwvWTtRZWJrg1IWQs/NwYT7hwmLCmUU4smB40VXz/MoPLLFhaoKT52c4v1Bnbilgvi1ZXE5Z6sQsdlIWu5r5ruRUB9qLHX7jX4yS73t9/avhmh/XfvOqr0qhfyHVPmFt4vmGyiUff2sZ/I8/8Fe87JYX8q//1b/61Q997Ev/4r0f+uJl+04u7zhytidfdk2PXRs1aephtMQYu2EkIAGBEAZPGAIJZxfqPHhYcu3uRfZuHdKoge9JAl8RBB7NuqThS/o9nwPHa3z+0YATF0d0kpgDp0asn13kLS9b4trLurxob5vj8wnzfUEjHHL0rKHdaXLNLsnyMGXfcUWr4fHMCbh8k2EYpQzTAM+LmW7B/lMhykvxZYLnw2AkuWlvn0Ffcu1lKZ1ByomzLXZuUDQbEcsjw7qpPku9Dh/5Ejx+LOXJY0O2b1rguis6TM9EvPmWLt/1SsPuDS3SeIpjZyY5ctrn1HnN6Ysxpy+mHLkoOLkc84I9c/zyD3RZPzXFqfMzXFhoMLccsNCWLLVT2t2Y5V7Kcs+w1BNc6CmWugk37p3np79jTtY9s2P+wsmdw2Hy4qC5q15vTH/h8Qc/we+/9y+eb8is+vhbyeB//uG/5vqrt6ov33/g/zl64vwvPvrUCXV+MWJ+5HG+r7l2+wV+4yfnuH53nQsL0yy0myy2ayy2fRY7HktdWGqnLHUSFrsJ8204tSTw6kNecvUi3/3KiJ3rmiz3Jri4WGduMWC+LVhsW4mw1NV0BprOyNAfJsxOxGxbrwFB6BtOX/QRMmT7OsXOTYZN6/pcWBrxxKEWL7zc0Kgv8fThGVrNiCjymZ3WDIZw5bYhH/rSFFdsTRiNDGsmJXE6oFULeeb4kLrf5Po9CU8ejbiwELB5NmTnRti2IUKpmNPzEPgGIQzb1ydMtyTdQUiv79Pp+yx2FIvLsNDWLLZT5tsp59uwMEzZtrnHd79qnpfs9aj5E5ybn2B+qcb8ssdiR7DU1ix3Y5a6Kctdw0IPzvcUF5YTbrriPO/5yQUu39JgsT3BcqdGdziJql2Who0Nv9pLLv+VUJ5OX37rdzzf0Fnx+FsF8IMHD1Kv1epnzpze9ujjz7zz6PEz/2H/odMME0lvCMsDycW+5Gw35kW7LvBffnKR63bVubg0xcJyk6VOjcWOz1LHY6kD7a5muZuw1E1Y7BgutAVnewZEj9te3ubNN2l2bawRRQ2W2jWWewHtrmKpJ+j2BcORIUoMaQpKGkIf6qFhasKwbibG84ccORfx1OEQnTR544sjPH+ZR/ZNsmMjfPbBhJdfE3KxPaDmKZI0ZmYaktjH8xMWFhq87IYOn72/xc6N8PChET4N3nCTJhEDnjqScux0DU8GrJ/2mG4K6qEgCARKQKIhig3DCLp9w3JP0+1rlvuahZ5hkKZs39LnzTe3ue2lEegWC8uTXFysW73d8Vhqw3I3pd1LWO5a5l7swbmuYq6T8qI9F3jPT17kqu115pemWO41aPcCuj2f5a7Ar2+h1tzwbzduvvIvt2zZfHI4HA4u37Pn+YZS8fhbA/ATxw6zZu3a4Mjhwz908NCh33vokcfFwmJPDkaa3lDTGxi6Q8HyQHBxIDnXibnp8ov8+o8tcMNlNeaXc5CHLHcDlroey11Bu2to91KWuwntnmapZ7jYFZxra6an+rzuRV1u2Zuwfb1iou7T6dYIfQkookSitUAb6A8BoZluDTl0xqBNxF0PNxn161y2OeAl1/aJ9TL3PDrF9Zf7HDrfo700wc3X9vnCIyHrZwz7Thj+0ds67Dsesn5G8vlHFS+5UrHY73D01AzX74m456kByajBLVcF7N46ZJD0uPMRBangyGmPiYaHJ6A/kGgjSLUhTgCp8QJNu2dotmK2bhzx0iv7vO6FCbPNGhcWJ1lYrrPUscdmqSNo96DdTWj3Etq9lHbfsNiXnO8K5rsJL75ijl/9sTmu21ljbnmS5W6DTi+k2/fp9j26A0WnL4jTmt59+bVmx87dP71r92Xvn5+fi/Ze8bcD5H8rAJ7EsYyiwVse+dodl3V6yXseevgRfzCCYWToD1L6w5T+UNMbjoG8nXDLlRd594/N8cLdAcudSeaWWrR7NZa7Acs9j3ZX0e5Dt2fo9BM6vZTeQNPuG+Z6grkexOmI6y4fsGEmpdc3vOnmETs2aJJU4klDFMPdT9Q4ebHGxumEp4/UQDfYu0VxwxWasNbnkUN95uabXL2jycTUEvc/6XPj5TUW+sssLU2wYYPhwX2K7391j4f2eWxZ5zPfa7O0OMMNV/a5/+mUmfoUV1/W42K7zYPPTlH3mrzoCsOebUOQPZ44Jlg3E3NhLuaeJ3yGsUJKSLVhx8aI190c0e0pNk1rbrgcoqjBYrvBYjtkuefT6SvaPUmnB51+Sqdn3ZJOX7PcNywOJGc6gvZgxEv2zPErP7rEiy63F0e7W6fTz8A98OgNFN2BpDcQdPspvUHC9Te8KNbG+9l3fNdbDjcb9U/7vq+fb2w975nM0ahPnAx+4PTxh39j7sLBmfMXlmjWbZpaCIPBAAYhAKERwmpQJQ1Kejx0cD2/8D6Pt71kke959SI7N0ecX5ggDOrUw4BG6NOse3TrktbAZ7Lp0R+m9AYp60eawcjQHYYsztU4fcoQJZoz5xPC0ACCQBk8KegPFAKfpO/xgh2C3ZsM2zb3GaVd7nhIsf/wNK9/YcgNVy7xgTsMgWiwY3OfJ+9XbJ5SrJnoU1N1otjnYheaNY8t6wWP74+4YU+dV14/z5/ePiDwW7z2xQY/7PPFByM++0CTZ4/V2bWpwY6NKWunI3auiblmR4pSGk/Z49MIQ9ZOhUSxT7cf8PQhn97Qoz9Q9IaS3gB6Q0Ovb797d5DSGxg6A8PyAOb6igtLhsZkm5954xzf8ZIR1+1qcm5+gnavRrcAt6I3VPQHkv5QMBgZRjHEMdz7lYf85sTMb6xdu37x1le8+J93uv0/nWg1/s8FeBL1QfCj545/9d3H9n9pJup3qYcBxihsDYQAPAQCIVKEAClsJ40FeEogJU8eWstjB5scOnuRt720x0uvGjLVmmCx3aDZqTExCOhlt9TeUDIYevRHHsORYRhpotgQx4YktVuUBBgNUgl8T1ALBFMtwXQLNqzRbFnfZ810m889Avc+5iP1JK9/oc8L9na579mYaDjBS14gaA8GXFxocssezZqpPnUvZJgo5joxSgtesMej0Rrx6IEar7hhkpuv6/LoAQVmkhdeFfAj377IFx6P+PxDTfadrLFtrWLDTJ3pVoPJFtRD8D2DkqAN7DsmSFNBnAiiBEYx9juOUgYjzXCk6Q81/ZGmN4DOCOZ6kotdGOkhr7l+kbe8tM33vVaTJBOcn2/S6dXoDgJ6Az9jbUV/KCy4h4b+SDMcJgwj+2+fXzjHub/83ExvqP/T2779FV6n23/f8wny5w3g0WgBSH5k4czd77548gvrpOnTbASIkXUrrHbKLT8LeCnJwA1KGTxl8JWm7gvm+3U+/KUtfPGxDi+/Zpl3vWaZa3b2mJ1qsLDcoDsI6Q/8DNjKbpFgFEviRJAk9lZva7dsUOl5UAugUdfMtGI2r+uT0OPQmZiP3FPj6KkmU2GdG6/yuOXaDg8ebHPX1yZ48eU1tm3s86EvCZQImWjFLPdGaANKwNqJPp1ugE7qvOXlF/nwZxvsvlDjzS/uE8UL3PPULHFa46ar1vHmGztcvrXNFx/t8+SpBk8cC9gyI5mZEDRCQeDbi1AKEMKgDWhtiJPsYo0No9heyMMIBhF0h4KlkWCxC8Ibcv0Vy7zrdcu8/KqU2Yk6S50G7W6dbj+kN/TpDco7QX8kGQyhn184w5ThSDOILJOnxuPMhTbv//Dn1/VH5t3v+HsvM+cuLP7xxvUz/2cA3Cz/CvMLVzCa/+sfjEaD97QvPrNG0aFRr4NIs1/KfllggS0EUkiU9JAyRSmR3Z41vjKEnqHuCZaGioX2NB+9u8kDT/d4yXXLvOu1y1y/u81sWidJQvrDGr2Bz2DkEcWKOJEkqSTVAm2EzYIKQxhoGrWEMIgI/BFnFkbc/rDk8OmAY6enUTpk98aAK3cqXri3gwrneOpIi81TDa7eBRvWLrHYmeCazZJEGz73UMioL5lqJrzhpiGfvifm5PkWV1zmc255yDNHfbaun+a6nXPc92SX+58RjKKAvTtn2Ls1ZO+WLkfOLXL4DDy0v8Gho00aniD0JM3QUPNBSnvPM8ZerEkKUQJRKuiNBJ2hoBNDpBO0GfKiyzu863UdXn5NysaZkOFwkoV2jW4vpDcM6A88K0eGisFIMBhKBiPbNzocpQyj7M4QaYYjwyCyjk6UKubOtfmDv/jyukcOX3xPo9VM/v0ffO4Dzz57mI/85k/93QX4v/qPvwOTf4Zo830qPf7baffclC9DGrUaQkQZpg0IMrY2SCmRUmagVigl8JTGUym+Jwg8TeAbQt/QCFKmaoLuyGepM83H7p3gS08MWT/d552varN365DhoMfVOw1bNyhGsU+aKlJt0/wCg5Qa30s5ccFw7LxgeaD51H0NzsxPYyKf6Zpi06zH9g0euzbD1bs7aDnPez/dZHFxkhfv9bh6d5svPiEQic+6aUmzkdCPA2SWjFJeQHsouLAouMo0eNULu3z10Tqb1gS8+OoZfvjb53n/Z7s8dKBJb+izsNxi56Y6V2zsc9OeLt/5ii5nFxf51H0hC/2QE+d8zpwJ8JVASolAoI0h1RBrQ5popmdjrr2qz2gUs3friLe/asS6ScVMKySOa5ybq9EfBPRH9i43KIAtLbhHguGIDMyWtYdRyjAyjCLDMDIMIujHgn4kGGqPs2c7PP2xr665eufsb99yw7r4I7+56c8XT72bma2/8HcP4D/xyx+g9YJ3ib//L8U7tkw980ff/apnGlfvCLOfygzcFuAiB7ewLoGUoDKQe0riKYHnCXwvJfAEga+p+YZ6bGhEhslaynRd0I8k3ajJsdNNfv3PZ0AniCThhdf22bkhIklAG40xVhZJIZBK4PkBB04G7Dtco1nzaAWSNQ3B2lnJuhmPTWsV2zemXLF9mVQs8Dsfn+DEySlevMdn746UQdLla0+FTNV9ZicNU62IRt1KIa0l7aFisWdYaKe0e3VedvUyD+/rs/+kYmqixk1XTfFjb1ngdz8Bjx5u0hsYlrseFxYn2LCmwbrpIdtnh/yrd/SZaLR58hgcOCXxfYNSBiE0YOz/DCQJ7NiQ8pJrEtLYJ05CjGkwjHzOzwcMRvaONoxUId8GkWA4Egwjy9oWxCmjkWYUWda20iffLLgHkaAbC5YiSS9JSft94t7Jqbfdsu6PfndxIaH+Ix8dnKub+sZ/9ncH4P/sP36EXZvXqUfv++BtB08sfODPHpqrPb5/ml//qQ57t/aQ2QgGKU2xKenZ0QzSoJSyetuT+J7VnIGvGPmSUaQJo5RRbKjHmlGsiSLDRAKjWDNKIEoEw1gySkPitMb+w02e2A+pMejswlICfAmBsjUfrRCu3ggTdZhsSqZbitkpj3UzsG3DiI1rl4nNIr/z8UmOHJ3khl2KXVsku7cs8eVnEi4sTPLCnZLpCU0tGBDKEKMESSoRxpCkEUu9GhcWfG7YW+cFe7rc92iN9dOCRq3FDXs0P3PbAr/9Cc0zZ1os9zTLXcXckseaqSbTE3WmJyaZaMSsbcZsvyEi9BN8L0GpFCmszjPYiyqOFRfnPOJEESeKKFaM4uw5koxiySiSDCPJKBI2QI0Eo8gwiuxxHUWayAH2KLa6fhgLBjH0I0EnFizHkv4oQY/6vGDHEr/204u87pqzjd6y94Gk/REdmSs/vnD8D9PZHT/xrQ/wX/xPH2ayGajDx0+9/diJC3/6yL7zNZoz3PFAgO8JfuXH2ly5tYeSGuEAXancKTH4yuArhe+ZrIZE2JPgC0aBIoot0OPYECWpdUUSZ0shSQ1pqkk1Vm9rCnALAUqCJ8H3IfQEtVDQCCXNhmKyIZmeFKybSdi+oU+ruczHvxpxz1MzLM9PcO02xfaNPpdvHZKKZT73UIOm77F2WtFqDHnqCDx71OOarYb+SHHd5THX7jacP5cytxQwGDZ4441dvvLkgENnFM26JAwmuGaX5ld+cIG7nxnw6bvXsNAxbF+XstT2mJpQTDZ9Wg2fZt1QCzVhoAm9FE9ZqSWz1kpjsAkrLUi0JEkFSSKIE0mUCOJYMoqt8xLFgig2RBGM4pQo1kQOcYzifMtcmhzcsaAdSdoJDEYRMu5zw44lfvnHF3jTTSndwRT9wfEa/uQHRVD/B7E3+1fnDv9xuvGyH/nWBnhNatlebn/PsWNnfn/f/pO1iYZPN/aIheRvviqJRoq339rlHa/pMT2R0lN1lNR4KrBBpJcSeB6+7xFGiqGfsY0viQJBFAt7cmJFnEAUS+sgJKXtl6SaNLXuQmoypyQLZHN3RkkrewJPEAaSWihp1gUTDcNUS7N+ZsTa6S6JWeajX5G8/7OzrKvVuHabYNtGnx2bNNs3LvHxrxkWF2vs3aCYnoBWI+bCccnFpZBgJ4xiwdpJydQUHDpmWOpozs/XuHxHjVe/sMvt99aYbUEYBCg5xTW7BT/+5ov48iJ/c980z56psb4Ts24qYbKpaNUVjbqkHnqEAYQ+eJ51mKQAKRyQYy/sVEOaCpKUDOgQp4YogThOLSnEmih/jjVRDKMkd2UsuAeJYBgLerGgkwg6kSEeRUyGHb77jQu841U9XvdCQ7vXYhiFjOKQUe9YzasFf6RqgSdE8BdYnvnWBPgfvv8TJFr/4D33H/0vhw6fmpiqK9sogKArAiIp+dxDPl97ps65pQX+0Xf2mZ6IqQV1Ov0angrwPd9uUUrkewSxYhRLIt+m0i3jCMtEGSslCcQppKl1ErS2AZfWJu/hzMBtAW61vcD3LEBqITRqmlY9YaqVsHZqwJrpZb66P+KDd9U5cGyKHZM+uzfAlg0BW9bDFds69JMOD+6boK581k4rplow1RoxPZkQBJ5NXBkYjAIWOzHLfUO7l3BxKWDbhhY3773IXQ/1OXBmgkYY46sAISbZvVnx9187z4uuuMgH72rx4NNTLPQ81k0kTDUSGjVJvaYIfUHoS3zfxipKkdmHFuUG28OqNQXQk1Rnd7fMWkw0SWrBncQQJabcYuvKDDNg9xOrt7sJDIcJOh4w2+jy09+1wL/83j6NMGC5W2cUhURxQBR7RLFHt39qwqv5v9OceUFw+OlPvP+ya972rQfwxaU2Sqkf/f0//ti7T506PTtRE0SpwROZFJCCrvQZSMnyyOO//KXPviNLvOUVPV51fZf1ayK63TqDUUDgB4SBzyjyCGNr70WBBXgcS6LE3nbjJPO0UzLrj4y5JdpQgtsmKTPmBk/ZhEngG2qBpl5LaNUSpidGbFzT4UK7z+99yudzD8+wuNTksrWCbesEm9cFbFkn2LlpiBcs8+F7PI6earJnvWS6JZlspkg54sycIfQkUoAxgij22L6uw0OkdPqKpY7hwmKdPVtqfOer2vzVFwOOXwjxvRghfLRpEieSF+5cYvv3dvjco30+9LkZHjneZPO0YE0zpVlLqQWC0BcEvo1VPIUNnKUoajIM9iLTBuu0pBbwOciT1Eo6C3aIUlvrEuXJo0QwSKCbSHox9GNN2h+xZU2HV96wzFtf2edNL0rxRIOl5RpREhBFJbijxCOKJVHv3KyqXfaePS+4TQ2H7ffVav97Jm79bwH44lKbIPB/+PY77nn3Y48/sy7wDFIKVGKzbioBJQy+EARC0pU12pHHh79c4+4nu9ywt8P3vrbPt724zZrJgP6wxmAUEPo+UeITxV4RKCWJIk4lSSKJU0GSSNJUkGpRam0tKFSJIcuI2mSRypJFga8Jg5R6mNCqj1gz1WMQD/jiU4aPfHmSB5+eYjrwuWazYeOMZP1swKa1ki3rI3ZtXuLJ4wM+9ZW1TCqPtZOCiaZgohHT7qd89ms1WoEtN9AGBiOPt7xkxGcesDUx7Z7m4pLHlnUt3vbSHg/u77LvUEAzTFBSWJDrBsPIav2//+o2ezZe5MN3d7j/2SlOLtXZMCGYrBkagabmaQIfPCVQMrdc7ffOy490JtW0Lu9wSQZ0SxAQp4I4zYCdCoZJxtopjCJNEkU06z3e9volvve1HW7Yk7J+xmMwaNHpBRlrZ+cr9hglijjLPUSx5MypfeuC+v3v3nnFy/Wg3/6TeuObD/JvKsCXl5dZ7vSQgh/4/Bfu/c+3f/YLs+32MrVAkSRWEyppUFlQ50sIJISJoCd9+r7idCfg7AMNHniqx19d0+Xtr+nzhpcsMzMVEI1CRolPFPvEiT1ocaJIUkWSZgmbtAS4Nhlz67KmzNaykOl8g+dpAj8lDGLqYUSrPiBlwBcelfz5l6Z4+tgkIg7ZMW3YOGVYM6VYOxOwYY1k09qYbRs6nJrr8gefbpKM6mzZIphqeUw0YaIRI/yIzqDJVMsghMAYiBPJTKhIdEI3Duj2U5Y6ijNzda7a1eIn/t4y7/mLkBNzTTwVZxeGR5LUGEaSDbMhL7ysw7W7ejxz4gwf+XKdux6Z4my7TjNUtAJo+obAM/gKPGmJRYhqdZ0GjLYXXaoFqYEkFdY/TwVRapNEg1QwSGGQGJIkQccjZmsD3viaZd75mg4vvyZhsu4RJU2W2iFR5BNnRDSKvexc2Ttuktg7bpwool6Hp5+4e12UqP+86/Kbkvm5s/+jVmvSbH3zgP5NBfhgMGB6svnWrz3w8O9+7s4vTgx6HRo1jyQ1KCmQiSGRGcgTK1U8afCVIEwF9VTQVyH9xOfiqMbfPNjknmf63PT5Hv/4u7pcua3DuinFRMOz7JD4JEkJ8jQHuJZoIzGGrE8zB3eW6lfGJou8hDBI8FVEZxAz14n5rY/XOHZxmkf3TWF0wGxdsG6NYc2kYHZCMTvls35WsmE2YfPaPrNTS3zuMc0jz05x7RbBdEvSakgmGppmPUL4I8LQw1P27xsDaSoZjDwGw5hEC7oDTbdnWOz4nF+Y4JYretx81TIf/nyN+qLCk7EFpPFI0oAotj2ea6ZqvGh3jxdd1uOhV57lxJzkg3dNcXG5wemFkEBJmr4gyGWYtCRTEHkuVbBMnhhBoiHWglEKwwQibSBNIImRasSm6QHXbrfn48YrUybqHknSpN0NGcUBSeJld9g8U+xl0lEVEtK+tneH7lKXRx788mySer97+RXXLw2Hg099MzH5TQP4wYOH2LBhg/rQn3/4sn37D070em3qBbjJ/G2BTEFmUsVLbKWelxqCFGqpoaEEAyXoeyGD1GchqnPXI5N89dkBzXDEP3hTmy2zCTs2Dbjl6i6esC1iQli5kmYtbNoI2xuZPWwCyaCE9cwNCciEZ45JHt7vcfuDLZ452SJKGrQ8xdq6YaZpmG4Y64NPeMxMesxOCTbMJGxaO2Dj2iXueXrEe29fx8Ypj7UTMNFUTDQFrUZCPRzx1YOKYeThNy2ojBFEiaTmKa7fM+CBp6Zs4dMgZbnjM78ccmF+mp948wVOzy/wwONr8SUgYjRkAPIZRZLewGO6VWNqosnNe/q88to+33vrHPtPaT7zYI0H99c5eLRJIjxGI0U/VighEUKMBZ5ZTsBoEm0wWuOLlMkgokbMzTf02LlxyJY1Me96w4h6IGnWfaKoQbvrE2d3VEs4OZA9B9T27loCPI+V7NbudXjk4fsmzl+4cNkb3/xd6sTxI+n2Hbv/9gB8//59rF07Gzz88MM/pNP0vywvLVIPfVJtbH2ELAM6JQ2JtNaUkgYvNXiZ5gtSCFNDTQkaqWCkYZj6DFKfflqj2035zx+exiQx69cOuWrbkNnJhLe/esC2dRFxLDK9LcFhbjL9KaVGSMHH7q7z5JEmwvM4cbbBmQsNanXFZCiYahomapqJGrTqgsmGYqKlmG55zE7BmqmE9bNDNq/rkJplPvaVCQa9JpdvMUw0FK2GpFXXtGoJvh/xuQdqjPoSf53N1+YSpVlXvPGmAfc+pumNJL1BSqfvsdz1OL/Q4MqdLd7+8g6PPtPgxGILJTUQZ3rZJ06tmzSMJL2hR7sX0Ko3aNZHXLllyIuvGHLqYpvj55bx/JQnjnr81ZcbCJVVao7PHzQa0GAMcZSyfX3CO189YM1EyhXbDetnIU18RlGLJPFZ6vgksSJOvSwOsgmkIiaKJXGqCr89TnMjwHrwSabvk0SQao/5+UXWro//y5OPP9rftHn7+w/s3xddsffKvx0AP3PmNAvzc3tOnz7ze4899oi0Y8dsRJ5nJlOZ13A7QNeCNDH42vqwfmo1YJAaatrYIEcbolQw0pJRKom0T6xhrjfBl5/UGFI++aAd2YDR2ZZn8TKLTOQViRKpFEnsIbWH70laIexca2j6mkaoaYTQCAXNuqRVt3JosiWZnoDZyYS10yM2re2SssRv/XWN+55ax+5ZmG5k7N2QtOoJjXpEszGgXm8QKomSmQbHyoE49hkOBINRSnek6A013YG2LXPNgNMXJnnZVSN+5h0X+I2/8ji5HCKExpgYnZpM40qGI1vG2hp4NGsBjXqNRtigFsa06hEvvDwi8GNuvDzhXa/p46kkSwLZ2vqKKM8kndYSISShr4CA4chjYcmzdTtpHvNksrAAryLJmDpn6yQL+l0w56xdePD569Tw0EMPySSVv9fp9b8yGo2e/mZg8/8zwD9/56doNbz68eNHbjt48JCohQptBEmqC2C7z3l20lOWtdPs2cui97wKLtWCRJsystdWH9pNEGlJYiSp9oh1SJrZXu6jyFIK8ISw9qSCWt1Q8ww1lRL6EHpQCwz1UFAPJI26pFHzLMCbgqmWZmYiYXZqxLqZHpvWLfDe2zUfums9W6cUa1qaiaai1VA0G9Cop7TqMecWNEfOhdQCe0FDXuknGEYeOzdoNqwZ0hkGDIYmY3HJctejVa/Rakzxrtdc5Oi58/zRpzbjSQ+DJtUpiTbEiccoUgwiWxTVr0kaQ4966FMPU9pdG2MEforvpfh+iidto4SUNp2fN5DY0pWsGsjYO2FbZ1WW2sY1aSrRWpLoMt6xYC1fp2nmZhU/y4CtM7bOSKwAebbldeyPPvaE2Lmrd9u2bTuO/NXHPj54+3fd9vwCPPC9YHFh7ueXFy/8vNEjWQskiQYpJIkcZ3BNqkCltpcwB7WnrF+d5skHbT3Z/L3dTJlmzyrlrJcrikDJ1dxAlsmzgZUntQ1qlXUWfCXwPWN9Y09QCyW1QFIPFfWaolWXtBqGyWbKVCthZmLEmuk+29Yv8ODBER++exPTtZD1Lc1EQ1hw1yXNmqZZS2g1Rjx4AJ7Y3+CytSbTvWXafDBS3HiF4fJtAx56eor+yDAYpvQGXgZyn0atTr02xXe/YpEnDl7kgX0bwCi0Ti0RJIYkNkU9yWDk0Rga6jVFLdCEgU8YpISexvNSfM+WGOdlELYGyIAwtoozo4UyOLclxDp3pHRuvzpWbOZaJVpkDowssqRp6jJ2Bm6dgzwHdv5ssTAY9eWZs+f+n1qtEbRazV8FoucN4MNBX45Gw1+64/YP//PFhXNB4HskEhtICmGBLA1JBvBUCdLU1pmkqSBVFuQWvBb0aZrXipQA1ybPvBl0lonLkxXGGJzMe+WOm6eqS/2fZSwVTtGWzf6FgaIWKuqhoFEXtOqGiUbKZDNhqjVidnLAprVLPHBgwC/96XpOnp5i1xrNVAMm6opmXdGsQbOWUq/FBP6Q9tCgpMJXNsDOH6kW2W08YKIe0080/azOuj9M6fYl7bqi0Q2phS12bIj5lR9q8+8/IPnavvUYFNpo0lSTpAlRoolixTBSDEJJfaSoBZIwMISBIvQ0vm/9fk9ldT4qu6NmMkUIU23QzVL7JiMRk9WypBng0+y91tYVSrQoSgAs4DPrcRVg2/eUJJYYEq3t+xROnjwT1GvNn/2hf/Auv9/v/9tGo/G/nM7/Xwb4oN9B6/hX9z113z9dWjhZq4XSBpVCkGZBZSrtF1NSkKiMlaWxB0hlwE5NBmZTAXaRTs7AbbSxXeRZCai7MQbwTHZngSWZ7y5Qyt4tvKwVzfckYWAHANVCO5KhHhqaNU2rkTLRiJlsRcxMDNi0dpkH9vf59+9fw4GTM2yfsQ5Lqy5pNqRl77qhUUtp1GLiNOLPPt9CKoWfef8Fg5v8Fu7z91+/xJ2PRHSjkH4G8N5A0e0p2qFHLQgJ/Qmu2JrwH35kgX/3fsH9T69HG0mqbVo9Tmyh2SjSjGq23DUMBTVfEAY2sxl4psjYekojVeZuicwIyAFepjyBjESwuQTrtmSBfFG0Zs+JLpJrGciLO68o7s62bCLLmhYAz3CRF8KlGmMkBw+fqN35+Xv+2Zvf9Bqx3O78wtTk/9r0rP9lgM+dP4ox+uaTxx6tKzEi9JWVFtJ+GSkt0JUmexakUpB6DqhTg1a5/LCf6aJWomy/0jpjEWMy1iYvd8aM7VcO8LwGQxUOjijqyC3AJb4vbf1GIKiFduZJI0xp1i24J5oRUxMD1k61eXB/n1/6kxmeObGGLdOC2aYjTWoezZqtX6nXEuphhO+POLMwja+ErZQUebU7Jeslio3ThiSJ6cS1rFNGMximdIeSel9RC3wCv4bvTbJ3S8J/+OE5/s0fwwPPriPV0gI8NcRJmjG5ZhRqapFkGKhCgvk++J6VaLZOxeDl9q0gq+Qsj6FLGsZkmWCdsXpxVxUFAekMyMXnrrzM5WdWFpCf7xwHSWrQGdiTDAfRcMi99z1c37lzx81Syq+Lx28qwA889Vk8OWw88ehdgU6WCAN75cnUgjpNSwZPtchAnH3R1AJda0PqUXzJKrCNw9olqE2WXjZmJbDzhxRlEZVtlhAFuJWUWaNELk+g5kMYaOo1Qz20+rlRj5loREw1B6yZbvPIoSH/7n3TPHViLZumFGubmsm6oFWTNGqKRl1Qr9mLw6b6Ix7YJ+gNA2qK7CKzGjxvQki1IE48mjXFLVd3efCZCfqxlSmDUUp/oOiGijBQBH6Q6ecprtyq+bUfu8jP/SHcv28dsZbEWmfN0mUP5iiQhIG27O2XdfSeyjcymVLKOJlleVcDeZ4UMjnAKbOgVqeXBVy6yI6CzoyD8i5dAtsFu05zcOd1MXBhbpkP/Pmngrff9ubGhz7ymf73f/e3/e8H+OLccSant0w9+/hf/4HQg1comRB4iiQ7SGnO2Ckk0tHSGfi1wrmlgVZiddZ2AK0LYJdNwWTauzgZwhYUCen0cWbgtgAHlVUM+h4EPrYTKMgKrMKUeiYvWvURk60B060Ojx8e8e/eN80Tx9exYcpjbUMzWYdmTdCsKxp1RaNg75RamNBqDLnniYDldo3p6TJNngNGZ9o0ThXrZhWveUGPex7Wtosm0g7IJTVfUvM9fC/A8+pIqblyq+HdP3aRn/tDw/0H1hFrjzirALRlr5bJw1gW1YWBJ/GyhhFPCpSXHxuK/csvwlyqiLwqjTIhNL5p51k78VJ553Xu1vnrPJ7KGd3ojPwMqSkZP4oT2p3BKw4cPPbHP/nDb//Jmw4dX77i8h3/ewHe65xl2J/7ufbCse8ZDecI/IBUapSUmbYS6ExzK7foSZXaOmd1XVztGdiz5IwNIk01kBxn7gzpeUau0N4yr6ArdXdeMegpbH2GZ/B921hcCzS1IKVeS2jUYpq1Ea3GkJnJNo8eHPHzf7iGx4+uZ92Uz7pGymTDZODO2LsmqYeW/WthQiOMSPSIbhQilMTPGbzQ4CJjt6xALPZpBkNbLhDVmM5BPkzpB5bBw0Diex6+ly9Aa7hmh+E9P3mBf/37mvv3ryfWHqNUEKU6Y3FBLdaEviHwbe+ql8UdnrIlwrYN0B4nK1OEcwe0R7W4MN1YZwzcBQk5xOSC22VrbQw6pXDCCnZPc9Y3RRCqteTMuQWe2X/se+69/7Ejoyj+N/9bGby7fIrm5JbtT37tD64dDc4QBhKtdQEoqfKAIgO3xAkeRRE0ukFkPhrNZJ+XB0w4TFFmJY17z8xZ2w0q89tt1qGjsmDK87LOoKwIKa8erPlppptj6rUR0xN9JptdHtiX8AvvXcNjR9ezdtJjbT1lsmZoZeCu16ydmIO7HqbUgoSJZsS+44a7H20SSImvdBbElR5FfvuOU0WiPV71wpjLdvU4crLO2gZln+MopT/MWNhTeJ5f5BGEMFy9HX7tx+f5N3+o+cozaxnGdZsMSwyNrIY79LEg9/K7l84kikSqtLjDKSkcgAsH5KzQKyXITRXgBbjLO28J9JVxVV6jn+q8dLfERpq9RygOHTvH57748LX/4Rd/fPuhI6dPXL57yzcf4IPeKfxgasf8mXt/k3T+rYou0vdIdBZAZuydSllIjzTNLSVTRN9aj93KCsbO7ajsNj7ukqxwSzLmHge3MEhVZkttUiljbc8QeBrf14S+JgwSakFCLYxo1EbMTPZZ6va592n4tT/fwJOH17AmA/dU3dCqC5o1UXjl1nnRlr0DC/B6OCJKU4aDGjVlLzIpRKWSL0+k2EDTs1reGzGKDINYOADXBEFK4Hv4vsRTCiX9AuAIuG6n4Nd+con//BcJ9++f5Wx7gmFTMpUaWomhlk0cCH2Tef+5k2IK9s6lSg7wYn+znXZxXijE7KSUd1an/NYFu/NZcZ4L+VLmN7QLbEfLJ1rQXepz8tzSWz9xx/3prS97wT87dPTs8ct3bfrmAnzYPUbs1V/cW37qtqj7DLWgTqI1Ms1sPykzS8iUfqkUpfxw6rNNHpQYkd3anNemqveqrF1VhflJsOMecvY2mTwxznAgWxbrezobM5EW4A6DDNwzPeaWBrz7zxp86mtrme9Ns3ZSsraWgbtmdXcjCyzroaQRmozBrfauhREQ8aXHA5bigNmQSj02onqHSlPb/DARerz6hj4PHIjoxiGTsc662DXByNaqB54FuKcMSvoIaRM0GNi7VfIb/7jDZx4Y8Kt/sp7T89MMpjymAkEr0TQSCGM7ejlQdqCRnweaUhRBcP7sBuruhSlE0StSsnhxrhywO8aAdqRmyeDlHTsHuWsLuwBPtUDjcf8jh1m/Yf1trVbzzzrdwfFvKoMncRflNS9fOv/FfzJcfowgkKSpRmh7gFItkakprUBjkzxa5axdJgfyk5vbSbqQIK7mFlXWdmVJdqBzZsnTzbkLoHKAK4MnLbBtb2fW3+mnBH5CLYgJg5hWfYDn9bnniZQ//uwEt9+3jkhPsG5CsKZmZYm1AHOfXGWbyJjbZe8Yzxvx1Wen6EceGxv5/owzeH7B2zLSmq+4+coBibYAH8SCYe6GRHbkmu/lFqcqqjNFllw3CNZMCb7n1h6t8Cx/8tkB9z47y/m4Tr8mmUgMTc9YkHtZHKJMFpeYDOT5MRRl7bgEScni7oqC7ikp2Hzszmsq4B4PRs2Ku3ha5D1E8Tr30o3y+Px9z3LT9Vf8k+/5jpc+1u70D01OfP2RcF8X4MPuUZbOfBoVTG8atJ99pU4W8LwaUiRIY2sQlDYW2FqgsglRaQFu6ZxQUbB3HmwVWptSa5fAdqwH174SZkya5Fk5WzFoR7vprOY7A7eytRihHxMEMTU/otEYEgR9/vwuj1//H+s4MjeDH9bY0BLMhCkToaEZQjPrsK+HNttZyxJCtn4lze4EVp7Md1J6UUCgFIE0RYCJ81XyCzzNajaixKfuD9kwNWC532IQi2I0Q+BrfD/NbD6V2Z3KArwSuNrKx7e+vMeNV83xax8c8qHPrWUxadIPfZq+ZMKzNTihB4GiaIbw8qRPdueThVQpE0AuqVTFympsnjc5O+9dULvui2spOr564gA90WBQnLnY5ssP7H/lME42XZxvH3pq/0mu3bvt/yODm5SpDa/d0V9+4r2jzhP4HmhStBSWtaUm1dKyt87naQt0mnfU6OIzk/8s19qmDDANLridUlfnkU+9Ku1AU+ruopDLFnmVzJ1mIE8IPCtJwmBE6A84fiHhjz7T5BNfmeXohWkmGj4zNZgOU1qhyVLvObhlBm5ZJIVqmfYOA3vhTDRHfPyrHodO1KllE7iKdjFKlBdjHExWnJR47N0O335jlz++Y5Zew2MiNgxjQxhlcYPSeF4+4QsH5L5zruw52LZG8gvf3+fanaf5w9tnOHp+ksWkTt/3aCpBIwN6II29cDKXqbj75cc1tw+x+rzMdFbT+o5zWzB5cTfGlWXZZxoH6KIEuXG6ixxGTzLJa6THF762n1fcvPe93/cdL33T3EL360qV5wR4mkZI6dNf+MqWuPvYbqHn8X0fbWKMlqTCds4orYvUcQFwJTFaO4B2GTtL9+byhFVkSXbCyBk7B7kogW2f3WFBOnNNcvZO8b3Edu54CWE4IvBGdNOI3/towJ98ZgNnFqbQqs7MpGImMEwGmkbG3I0ifS+zOpVMmmTeeQHuwGYvR3HEodMhvShkOsxcnGK+IkWix032JKkkjj0mmh47t0SocEg3ajEIBPXYjkULMnnlZxLFy10PoS4RvCrWTvb5ibf2ue1V5/mTz3T4o4/NMj9oMvBq1DxFwxPUlSFMjGVzaaWKJ8vyhjzLuYLJqcqVlefNAbYLdgfQLuBzXKQO0FMtSEwJ8NhAiuL4xS6fu//A7rBe3/L2N9xwfDhKqIWXhvFzAtzEpzBqcq3ni4/qwd1+LbT1yKmxZZNSygy4smBxnS3nl2rtANl5zgA+ztoW4OISGUrj2IGmAHZFnsisSk6lFuBeiqdSAj+mFkQEfkR7GPHVJyV/ftcEH/vKLMO0RRAEzAaCqUDTDAyN0NAISnDXQkkYSsJMmtjEUOZMZAAPfJv5PHbOcO8jDaLYJ2yaFQFm/ijT2VbCRbHC9z1ec2OXD3+hx4HTTQY1O+9l5BuCBPxY40capaT1raUdSFoM96G8I6ZakmhJI/RYPzXgX393nyu3jfjQXS0e3jfJ3KDJUAX4vkfNE9QlhPmApdxelSYbeooD8mpR1opVvp08RXFuWSlbXDs4LaQqRa1Rou3nSfY6MoIoY3MjFB/53OP+d77hho+evbj0grml3tz/MoOrYFbqwaMvpvvXkzV/mUSFaC1RWtlRDFnvozYCpXNgl6DPgV162g7AnbJMHLDnj0rhj+3RsUxepJR1Ue5pdbfBU6kFuEoLOeJ5Me1ezH1PC/70jgnuenSSxXYLWa/RqiumfMNEoGn4hkZgqAdkrG2Zux5KaoGiFghqAVmFns7ArQl9q7+VN+LgaTjTrtnESqZvq4mTsn7G9kGKrO5dEkUe6ycEl28d8NTJhH7sM8pmfAcR2XSvfLJunqixZcnuowjedV6bbevD3/maAW+4aYkvPtblA5+b4OF9Eyx0G7RlQC/wCJQgkIIwawT3pF2lTonyIlUiK/u9FMAvwejjuY0Ul8EtqNPsdQ7qxEBsShbXxti8v0kZDUf89p/ePvkz73rti19985V38BzDg55bg5sjofTi31f6qabvRUgNWitSrdAmB7mwPZAZ2L2ihliOMba7rSJNiv9zHhWLylQK9GWmtVXWnaJkagfi526GjJnrJtzziMdn72vxqXsnudhpImo1/JbPhAeTvu3kqftksgPqgcg2mZWcZro7EIQ5e+cA9xKCIKEWRBgT86VHQ06cq7NmRuBLnelYUTb6ukznOEtpqhiMfLavF7zmhj6f+FpEL/YZxIKabwgSy+Kj2Dh3KVX41QhZkSl2k2WjgrZ+ez0c8c5bB7zuxgU++ZUun7mvwT1PtrjYbjAQAYPAw/MVnhD4UuBLiS9MJrUMCuFIQy4J9Er9igvwvPwWV3OXIE5N1vjsgtoYMBbY6ARMitYjnnp6f3M4uvX3H3329JXA4H8a4EttzVK3/31J9+6pNbUFQuWTRiZrWfKyxl5ZNPmaopPdYe9Me5u8w50qyPPuEVNBtiiFSmFPGWfTmR2oEVIXciTwYmq1mOEo5cAZOH5W8ZHPT3LHwxNcXGqCX8Ob8GkoScs3tDxN3TfUfaj5Ftw1384ktGWm0tlE9nOTgVwXIA9825525KzmqWMh+H52mzdOil5UUODq0qJ+OrXjnK/ZOeKqLT32n2kwqAkaiSCMDSNFZu3pjL1zNyW3IEutUvjsReCvsukDPsPIp14f8YNvHPGWW5a585Eef/mFBsfP1th/pkG0HJKEHkPPQypp0/lkf0/YhVWLIDQPQLPgfzUWL6QTzn7lACdzS4rNZJN+dQlsrcEkQFZIrlOIU9qn+jz1zOOcXdN6To6+JMDnlxZFFI1+5g/+x8Gp3ZsmufmKhBsvj/HChNCL0ZEkiiybG2SFxV0WGZclFK8pgsjVpUm+Lo9BYpMaxRRaYRk7DO0k1SRNOb8An/+yx5HTde5+sM6ZpTpHzjYhDFENj5qnaHqGpqeti+Dbwfk1345rsyDON5ltKgM4mebOwO2nhL5lb3thRRybg33HG/iyag8WEoWyHrwIunInRec9jT5XbR9w+bo+Tx9N6Cc+rVgw8iBI7ExA5QBcSoGQssLk4ADGSbAled9kqohTn5EfMFGP+PuvH/HyazucWerwpYcCjp4KufPRBmcXaqQDHy094kCBVFnix3blS7KMJ9V6oBU9ns4FXfjkOI0quYdYgFqXjE2W7YlTiDXCS5Eq5aZrRty8Z8Rrrr13za2v/bl/8i9++NB7hLp81fDtkgB/9+//BUmS8LG/OQ/MsnNzyjW7Il5545CrdsRsmjFctmNEaCRpnGnxTJeXYxtkqbd1DuY8PSGce1nO2ab0uSvMrUspolL8MCVODUdPCZ46qvj8gw2ePhbw7LE6nVHIKArBD1ATPqESNBQ0PE3d8YFDL6/TyMtmbV14mMmSIFAEgcwuAFNqbz+1mUXf6vxaEGN0xIVFyciEeJ4kkHZEXW6zjRF4NcBy+h2jxEfgsXYmQqohvdin7wnrdMRlwZindCUDKYUTxebDjhDZXbVsLct7J/1UFeMn+qOADdMR29bHvHDXiEE04B8ca/P08YDPP1DjqWM1jp4MiRMPEyqMVCAkqXSyQW4yf9w/dLNbxXPuB2vneWzTKcQGj5TdO2M2z8Ts3RnzqheNuGZXzI6NCQ2/2/RGf/M9ZuS953+Kwd/93s9wYX5JfeZLXxODxCNOPZ44YnjqSI07H2ww6Wu2bYm5Zm/E628c8errIzC2LareJAOzBC1I4nyZ7VKi2O8+PrbAAppsfonvGbuqmjTEkaE/tIx+/LTkL+4K6ceKx5+tcfhUyHwvYJQG4AWgfNSEIpCCuoKGMtQUdpyZygqPlGXtwBc26eGC25cEmSwJAwgDMtfEpsx9TxP4SZYRjanXIi4upXz+/hbtbsj0pMCTuigZyHEw/iiSH4UWl4xGijWzijfcMuTOhwecbDcZ+NLKFA/8xODHuWedeewytXYh7qwTWfwNbbxKJjlNJUGqSD1F4tuxD3HsWyvVj2kGMS+/JuHmK0e87ZVDDp6SPLHPZxApPvT5BsfO+yAk/YFHGqmibcp4lNkgF+UVgOc2iy6eRWIQOpMmRlNvpvi+RhjNq28Y8fobh1x9Rcz2LQmTPqyZMEhs3GKMIO0/KbT/KjWc/4uktuZ7v3EGXzc7/Xv9vrguljXw7BWnjWGup5nTmmOLKfc/pfno51PWziQYbbhhT8Q7XzsseuvWTmquvyaiWcvuQkYUObCV51wUw3nafcETT/osdCT1Gjy4z+fTX6kxjBXDWHHufIAWHrHx0cIHz0OEHp6UBEpQk4ZaBuxQGUJlbA24l3m+XsncQd6XWYBbZT2aomDvwNcEQV6glRbsHQQxSkV8+THFJ77WQgWetdsq+vvSDJ574WnRja4YDn3e8pIBn/pqhw99aZJeUqOZ6XA/1+FxnpQxRbeQELIAmP1T0tH6DsB1NtrBs0zue4rE8/CS1AJdpShlB+lP1xJeckXCLVfEGDHi7bf2GcZ2nNvffCXkoX0B9VAw31E88XRApy8zlSRWPcNlEsBKk2ZNc/0LYtZMpbaGKTW887UDrr88xmhYO6OZmTJ42DuFTiXRSGZxnbUXSeLr/HD294BVp+mvAPj8QofZmdbEL/zWJ6+IUl/h1bOinkz0K3ulaaMZac2FtuHCstVQB082+PSX7c9Napic1rz4uohW3ZZQrpqedC/1zHVY7ikefiqg01ZIT9qZKMazzCQ87FxgD6SHlBJfCgtmaQilJpAWCIGCQJUz+izIyzHJdo0fWTQeu+C2DJ+V1fo5g6fOZmMRYyLOzAdEoxrhpCTI0t4qq8qrZDEFpS41pX1adKdrRRT7TLcUW9dEBGLIIAkZJIK6Z4dg5jUkeUJLSbe8VRZ/y/6N3KrVZfZUZw3fjjRKkjTLG6hs/aOEOElRsc0leCpFyoQta3R2x9BcuW1IZAZIT9NuCx5+ymO5L1GFYqkG1ZUznZFls2a4+bqYyWmNSWx8Vlf22Nl999CxJCpcuar0tfGnVIyGV7Q2/YOJOPr2jh9U5xquAPjxM/Ocvbj8nqeeOX7rfG+I8MMsEDClPiJ7rdxBO4bEaNq5plKGzrLh3JebzldcDeBuaiw7OcJmQvHsktp4EoTVfkJIhJSZlZWDOks7S7KFW3Pf2Hn2sk56Rbb0HgW4bVuXIsjAHXgUJaaWwTMW9zRBlh31/ZgwjDk1r/ngnU3wAnwpygCzkCdiBYO7mb7USZTlg3Wi2OddbxjwyXsGPHuhRS/1aSR2UVpbBVgOUBIqzwlQetSijHHsaavWA9lNF7UwnqfwUzsvxc+ArmSZNLN149lroTOLNsUTBmFS1jQ03/YyDSLNZCYg8vUzVjnnRY2RAK3QsVfI1ySWxDjxW2WTju2cHbMkIhZHb/Wnjr8Hk6xYwm0FwH/3z76IlCI4fPw8DQmJtMMYU1y7z1ANFowDfOdzZUh9B9yF2e1qtJzdHP0mZBG8CCmLFjQlwBc2rRwKKwXsrPH8OW+qdQqJPJw5KDlrl131JcBlIVvCwBQtbUGgncE5CX7G3oEXI2XEifOCuU4N4XmEkoo8ke7Xck63Kx0qwMucjijxmZ0YsX3DgP3nRwxSj2EKYSrwU4OfZDo8oXCWyhS6qnQq5IfcJuRMpXTZSiONl2pSJVFevny5yorVUqTS2Z1Cl9ZsBvJ8yRlBtgJ1Ni0rNwgKJyyvAs2RUMRhpfHgxmjjbts42HXh82ffYXCa5bMft6v3fj2AP3PgJALo9weECgJhSIVjvmOjf4MoLR+7l8Vzha2fU5aQdeU4hfVCIClTxHYqFfjC4IsMtJkEyF8Xn2VkX5aCUjTYBkpYsFfALe1zkAM9Dz4zcOfdP54uJIrvWX0aBDEJMZ/5ap0Lc3X8SUXg1nC4DgpjitRNXRsxFgQqhiM7wfbNL+3x1SeHdJIafc+jnmiiLJ2uZFkQlRecCaEpO4fyQDMvUc6tw2ymisHOqdECTwsSJfBSma1iZ2t5kgzoZTItD54zFh/LTYi8hDcfJFQZRVGm+CulWqaEfzU3kgNfUM2f5IlCWVRlEg8ZdI6tereoAPz3P/h5Jlq1l33wY/feeDpNCZTdOW004xOkLNDLtHNRGZjrv+eGdXHSi2q1LIkgspSwB4XVprKUsZ1vUmpclQNb2im1+SgEF9jFHBSF7UdcDeB5wJnrbi+XJSbT29Va8sCPCfyI823No4fr4AV4mTzxnAKlPNsnxhBuT5hTdVf0pcrCE49jnxsuGzE7NaC91KCfKBoK/MR+F5Uau8UuwLEgL/6Qm2DLwK5NMaVKK02qBb4WpEqSKk2qBEkGcrd4LS+HyDPI0gF1XjIh0BnIyUqay4lZpUQbQ0Ylk+1aydmFUGS9x2uY3IShQYn6jTMbX/eyhVOvv29261tXB/hoFAPm27TW1ydxTC3wylYkyhPiTpPK/2Ceqcp39lLFASJTKJmRmDGcKbJiJThMweDjJZxeXhuR1YDnpZ62uTjvVLGyRBXdKyWw8+Zby96Z5vYo9HZuCVrGLsHtF9WJMYKY278S8tWnW8jQI5DCzt8uKgjd+SxuHXV5jIrRaAWL20Az1YrB0OeWqwd8+8u7/NHtLaI0pJdKaqlhVMxWd6v+dCbn9NgFdSkmB+3JrJtGFOBOlUQpbRldymy0RL7inXYA7gBbVssocmDn8qRUTGPTs1ycm/L4FEyeM3whW1gBdACjY3xjrk+SwbcZHd+3KoPvO3yGmanmG973F1/8/rPn5qkH9su50nkc1KbYGVP8TnHyVmHs4rXDbEVChxIMEio1D+5og5y57RIkFKtFeM7kqnxMRMHiWTeMr6rgtuMUxpg769kMsvY238sbDhJni4mI+csvTZCaEFVkL90As+xrzJ2NigZnrF1PSztKI82DTQ+Bzztf3efPPjNiWccM0hqDVOAnFCwupUEmoig6s3bhOL1ISmvSqd7TdhCT1tlYPaVJPduZ5aWSVBlUaisYbfZYjq1lqseqO8shQisB/nWYfEUPgAPwCrjzC6LU8cLAsD9HI+58/+yWb7972Dt5Z625rQrwKIoYDL3Let3u7m63Q6MeOPpZVNi5DDS5pBxx/tMquHOwuyAX1rV1PWPlMKAUKzVnOYa5nO2hlCi1eFZxVxl2kwHbU6J0Ugo70Hbc28ZkkzF3GWB6DnuHfsSjhyWHztYwykdJSSA1nhir03AE+LiLkm/l0Bzh+NUW5HHis3tTzFW7enztYJ1YBQwSQU2Cnxq8RGTyLevCSTIdjrRyofInhcPiwpFGZe9jPh/SUzoDd9bOpowD7rwWyGRlAjmTU9w9SibPg00cwLtEZxy8rOT2XLaUxVsuqYoCf0JIokGfaNjfrZPRZTqN71zB4HPzSwwHQ6LhgLoPgXT+uMPQlefyuiR3R8ZjSpFrkuIwV/v7Krdyqrd1VdR8l7ZbKVmE7Z4XJbhtkCmKbnGvALesANwd/mO77SmAXWQrC+ZOCTyb2LFdQTGGmL/6UoOFhToi9Kzv7l6E4zUo7tXtWIRaV1m14k1rRRx7rJmRvOM1XR49PMEordFXAfXUavG8nFVJMnDn9wqdeeKuWJQVFrQ+slkxlcputg0xn0qQv7YAl9n31EXbXN7lL4Ucq9nHCTTdOnJTHIzV7NOKlHOIlSIIdR0Y+3Ot7ZIw/f4COimLCwuAv/dPP4mSkrmFZZo1VXRQX+oPVX9Wwt0h7hW3o/ILriZTKK76cZBUx4uVjC1dBlfCYfFcrkiUVwV44GUDgPx86cAsw+kZ/CIVr7PXaWXzlO3cefYEfPSuFiMZoKTKspfVC3E8gznOT8Y5rlUdnmnxrGozTD3e8fohf3pHnyeP1omVT19KglRn7pFtHSyPk7HtZcK9t+rsb1XXLXKZPNXgFRainfqrspIAlZpyWGcxl0UUF3TidFW5NmF5nrNiuYLUqix4qe6g8r0biDpUaUqW1yZk/sIh2ksXce1CD+D4iTNs37ap8fO/9Hs7L1ycx/fsTlhLW4yx9WoA55IPZ2rwWLuTKcA9ntKugDvPCMoq0HN5Ih3GzoPMfGqT5+WLvGbaW42BO0/f+3ljsrYzQ4oWsbynM8m2GOVHHDrj0Y0CUF4mT8xYeez4hVtFeHWg0ZgXnnXjlIkfj6YvuGLzkCcPRaQ6ZKADaqmt2fYyDa6EXcjVJpZyftNQ1PzkJ92t8rRY8IrBpvazfGCqp8k6iAxSlxMC8ulaad7d7/TGFsAunJX8+48zOI58Xb14YzVCcEFdkkS+THlKrbV25w0v+6lGe+kn+5PTmyzAT5w6x/zi8uu3bFrzcw88/BSBkiv9bfcPjQH8Uo8qi7tuwkoAjLsORZpbuLPzMmnizPGwIKeskVYOqIvXWZJHkXnhFtwWwOVQIN+VJy57q6yvM4hY7Gr+21+3WBjUEKFv5YmzNEt+l3FBfsmTlssV7TRhFwxuHZUk8ZhoePz0d3b54qMTLIwCIukxkJIg66EsRz5kIMtr6jNdnJfRGnQGbp2VOLvOisgY3BRBeg52JUXG4FYSpYWLkgF8rHdTOvq7PLerAJzxY3RpVJnVZIsTcGoDaRSzNlz7c3Pn9t8Xx4NPQsbgDz36LLUw4NCRE+g0IQgCe72v0D98A7sydlJdHSpYNcAsmbwEhrt46TiwbZBZzh+Uqhw/phxQe1LiZZLEKwCea25dBJW+pwtw+15ef1Flb1/FBEHER77k88yROkgfKSVhXhrrWJvFGvHZl7xkNSElm1dmxWQgT7TMFnnyuWZ3n7e+vMOf3lFDeyEDGRBKUSR9lBTEhQxYyeTCZXInkeLWxGgFyti7gm1DpJjtaFldUI6VKGfRlEGm7eMUsgpwSfm6xMSY/s6lzCUBnr9YCfQc5EkSs7x4EiEVaWIXhvAAu9RFGOB7nt15Wd7YVgP3is8vwVQr2VuUr53+vhWecRFYioLNXfvtuQEuS4Arp4bay+pSfAop4qvSLfGd4UCl5rbs7Xt2atVSW/M3X24x3w6hlrknwgnGLiFRcPoY3bO1qm2XW4baVs9ZN8VjekLx927t86mvDlnohUTKY5DKzJ4UmXsjymZs6d7+LbCNKbt+dMHm5bAlL3dWVPZaZu+lXUspP+4uyIUUpS+e33WzZE/+LLNz7XZoQXnh50GoW9MwfrwKXDsOivvtDJYkhPBQKijiQu+Jpw+yds3Mji/d8+DPnDpzjsBXKLkSrma1D8TKchrXMVjB3LgnP+9CKeeGFCCXq0iUCrCrs7/dDhc73J0quPOVDXLmVg5zr2DwfNxEOXLCUzZzeey44OCJGpoQIb2iObesHnTjB+G4GuXV7uYSCpAjHHkiCiejaDdLPTAee7dH7N44ZGF/HZMGlsVTK1M8x8UpJYFb6JXXC7nyM2NzU/rkdtyeBbYb2yhtLxqdzX0vElqyJKN8dJ7QeemzKPYjv6OJ4u5SBXeFAi4l7TLMXTrm8+i2z7Nu05U/s+2ylz4+f+HQcS9NU4bD4YY01W+4OLdIsx6uRG0FuWOId66sccZ2f+xORsoTIHnp8PgsvFKeiCKozDtXXGAXz4psFLDrg7tbtqS1csHtgDxbr97PSkNz9lbZe8+LUSrmM19rcWi+DkEpT3zHulwpubjEmSrBXY46c4qJ3NXN8jLayGPXmog339LnoWcboH2S1GpxP82yu2lVKpV3ydKWywNPO1atrKsuXsvstczuKjLfRLaogSnunqkEqXMTwDgXtiNVcGbCVO7abuJHrMBLATAX7GOsvQKeQtHrLmJ0+oY0Hm0wOj3u5f+xFFlqW435tuOAXvVfXvnrVcdkbMyx8xrnAOQln5VAM/9sDNgFmyvhNOE64M7mE5bLdrAS2F45IKgY8ebpDOSJlScqpt6I+NoBxSe/3GQwDKDh4UmBL6rSZDzAdC/oSxFSRX+PWYauLx4nHpMtj7e9asgdX+3z4IEA0/QZpCGBoLjQVPH33URLDu4S5JWgDV1eYMqyeSqtHtf5ogW6dK50sfSJcFaGEE6gmzG7FuV+ZGAoAtBCrpoVjJ3j4utx60qAYwdS6dL+9JI0JoljICXwLThWxfYl9bazI2LlHyy/nOt7ixXMvdrrQooI4dwCRbEpJbLalBLcJcjzslmD55UjlL1sESZPVYHuF2xtN6VsgBkEEXGUcsf9DZ492QDfR0iVgSqbG+IEl0KOXcjOsXGZqBydkU1ldTKZ2uTL9snCE09TjyjyuHJbwhtf2uOJ43VGSUAqfQZaEaSM7YvAzSKOg9yM7Qsqv9g0WglUXu8h7bOUZdazuKNKkNqZZajdQHOl/Tue+yBnfMZAfqmYzoWbWUUaC0gTSRQb4sQ2bXh//fHP4HmK5eUO9dCvLHf3DT1WkyKUV6x7cqtf1LHSXPfEAXHJ4uUKBKU0cazCgrFzgJeTUwuJkjG3ZWxTMLVXPJev/Sy49FRMGEQ8fUJw51cb9AcBNH2kyCsHcezBVbKYxQmsHqyiUi6LnqqD5McSPk4BVhT7tFoRb3zJiE/dM+SJoyF4AUMtCTItrrRdPqYcbwcipZAHpC7YS2AbY8mtkC7Ssnl+V8lzD1qCNJk0ydytfBhTSUYgXLDnsZZ04gIXK8LuT/Wuvzp7uwBf7aG1z6EDj3PqxGG0TvHm5uYRUhDHCb4vMwfVuIfgUpiuXGrjAC+A7XyJ6hcTK4BQkSiu5i5AbvW2m81UKqswzCoKbTtX3uxgZ4SXLO6AO9v8fAptVuDvqcRuXozvxyQm5fb76tz7dB1qHkjb0Ow7JbyV0lh3c9+s8nB7MwvbLm8qzxyVVMsK0EdDn1de0+fNL+vzzIkaSeJjhGIgPPyUYp9EWrJ4uQurM3n59w1K5cxt2dy+F8hsaRopHb8/c1hktqpeweB53kKUxgHCILUYu5O7WlxU8DOOJ1P5DmPH0S1kM5J+r0s0GmKMwQt82wKG0STZjl26qPESYF8RXIqxK7QEcfE+B7jT1uWuLFABdkWquGl6Z1MluPNVHYrNKxdBzQHtO6DOnRPrmNhnpWICP+bx45KPfqkFBCB9hFD4RXLHFMVVVZtTFMchPxpVgLGiOrOcsuqU0Ka2dc9OoVXO0CWPd756wOfvH/LwETtJINaKfiqygq/soktNyY4ryCmvHTKWxR2g5z9VGei1zNbzyYNi7WSWTfa3jBM36dLJKYNv4aTqKS+8sbt8hTBXLa+9NDYN9hgKKTEojNF4vmfXZjFaEGclfF8vW7liR7IX1atubMUuB9Q4X7gqUTKWzm97Fd1duhUVkGdsXS42ZVm7HIBfgrvC2s5z3libSxWlEnw/IU4T7n6wzlOH6+D7IG1wGQjjTI51A6uxu1LldFShZZwXRQOEUyNSqS5MJVpljkrqMYp8rt495JUvtiw+SC2Lj0TAUIOXijLwS3NZYHVuKVHsDoxXiZI9KwlGGaQRKIPNfhqBMAIjQBpRSpU8qCyMAscq1c6FL8vUvZsDyY9OJeB0iLJKnqsBmyKW0FkrqNL2uHqeZ6fE6tQuLVdc1V/nUdHYOU+t0FC55+nKkzyyrn5upzS5a8SM1Z8IirV3itWL8+bbSsNDuXSJp8qAMp8X7hWgLifQKs8BeCZRAi/m0DnBB+5oMYp9aPiZPKFoTVPuKsG5HBPlBV7RK6ucFRfolTFnlZUwVtPiHs1Q8gNv7HP7vU0OnLEXX6oV/VTZKsM0S/4gLBOmmTddQMK94ZsKwKUptbjMNLrUBpOdIyOFBbh2YqWcybXriJWbFFh/PD8s0pWrDps/R7ApVrwYI2Jj3R6R3cKMAfWbv/Eb633f+08nTp7aizEluJ5rk44mFqVWFo5WHs8wVuWGu4alzNyQbCxwNh64AO7Ylo9McD3u4tkrHZN8ApQLbl8ZPD/PWqYVB8X34qKZwfciUhnxp59u8Gd3TkEYgqqhlEdDGerKZOMoKBqcfac1rsykuokoSTkZlkqAWsYSpe2YX7RCkjX+lr2QShqE0WzdEHFmXvLIUwGJsJMHtLAj1jxhGI97Kr2vOVKMixlRuasUADL5ZVC9GAqJlb832YBN573bg16JN7T7mcgGczqlA7gefZ6pXH0zld+xibI9e6/f8ILrX/IF7+SpU1OdTvdN8ShCeR7l9fDcOnyFMe84I/nPc5av+qDjksTV4NmtzmXtSh24qWhvWYChlCQue6tipQdnISo1LknySsGcvWN8L+bgWcmHv9jI5q9Y9vbzzv387wsq44Wl873dQFO4bwoAVXVvXmxVpO6zQNMGnllW00h0qkhVpsVTj+9+TZ9P3N1g32kfZIQRkmHq4yGK9Ll1UrLzmjrDTQs7IXtnTNapZWdj5cCRznOx5axtbPBohCgCTiNBjzlj7utqws+Rsax87yqDb+ghIIkier3um86dPz3lDQZDRqPIfqkxcX2pf9dd83G1hA6rgNsFdfllx+3B6msX4LaLJNffzuscyHm1W67BHXB7SqMyFleZRFFKoxy/Wym7eSohVQmfvq/JvkOl9hZC2pEVRQcNq55Awfh7V8YVpOi8rjYgVzxxZyKVl9mGpT9upcqVl414y8t6HPlwSJQqEB6p8BgIgZdm9h15oJs7KsLZizJNnndqGSNQJisAcUCvXLYUpkzxC9DS6nWdyxTHB3fB7t5Rygyno+TEJZ6fA5MV2GaaTycxaTzCy9uWgMIDf24fUjB2HRTsXQW8Wwcx/gXLrFcFJOPMPcba+fuctXOwew6wXaAXGrwAd6a58yVOpMaT+VAbC3bfjzl6TvHfPz7BUFpwIzynaz67gxRN0NVWu1Vyzqs+qrfvLO4x5RIvphJoynJuirILEKTaI0l9wjThp27r8dd3Nzhy1gMVg/aIhc9ACFTqlLG6weYYyAubMtu5Un4IZA5uWTK4ymxEaUTB5lrYC0pLgTDl3WOlmZABn9VZfDVwr+aRj2PUtaU9D3w/CzLzvkUpq+CtvHRAXPlDxdUnHLekvBDGI2ZRibKrr11gizHWzhMpVXDrUqJIZyuCSxfI4363s0krT3wvohNp/uhTE5y5GIKy8kRIWVqDorwIi9fuiaqwVHX5wFWBjqth88YDt0cz15olexfNEFKRJh6b1474sbd2+bUPBLRjGxAYIxlpZW3DNN8PA6mgVNglyA2UXh/WIiRLQKls35QxWWYzC0Czphgj7D5KaV+L7J8xBYOvdrcTK4BdYfMxQF+KdFfkXbDHLk4FcSKsTWhHKdggaPxkVK8YseIKyz9bsXMOqAv/Mwcvq4BbuhLFZW3jWINlkb0SriQBLx9t4OWMXgJajUuUYqmTpHj2VIwXxnzs9pD3/tUEI+1beSIUUkgCQdlUPGaJVXR3EYtUTsMlWTxHV2kVuqDPU/YGnS/wpZ0UvrZLgde8hJ94e4+DJwL+5NNWi4MiFZKhtgGnTCkYvCzAyk+WqXC5u5yjMqVkMUYgjclmB5ZZTRv02iSVdo6Ncf5WDmidkxzjelysCu4VamEVUI/jNU0gjiFOwMsdDS9zMZ77HxBjjD62g85OVU58VoZ8ydY0R35UmdwBd75Ed77o1GqsXXzuALtg8bI6UGV2YPlsZw0uLsFff7HB0igHtwW4L6329kRVnlT2NbfLVjkhLr5drZ2DPLcKK1V9+SK52i2lderEZb5WkkeSekwGKbe9ts8n7muw0FUgY9CKGKvHx6sLq7gYY/I8CZTtn3KSQnl9ijRWcxtpiloVIyzQtXATP+45z/6+sf+6luUA/coSkW5W05UpVN9fCqtJvuZ9Cp5wCpeUkjhVEqtqbRfm47cP6YJerAJ2cQmQrwZsUZUmuYVWBpkOyCtgz8FtKgxevk6LdW48h739RsLtX67x4FN1dK69ZdZzKXJ5Uq03kU6lXOUuJqonZ1z2jQOrtLlKiTLeDGHcoNNIlCl98ST18XTCzddEfPtNfT74mQBUBEJihGCkPZQQKGw1eAkiU55bV5Nn1qAy9oot0viylFGlVLGA18ZUzp8x9oI3chwDVpuTSxncC885fqtgbxx3qzF4DnCdjSD33LELnks/q/0DlxD9z6WjVnMZRL5aGo4skSVgXPZWlwC4rDC3znR55phIk+lqR5Lkjol0JIpMUNIOfj9yUvKB21uc7wZ2vWtpB70rQbliw1i8sPICFhXAs/JwVh6VRI/D7OOLdVUW0nXqxJXMn+3yJ+ubKT/47T3ueyrkyAUJIgYUGslQSGcRKXsOclAXNqZ7wbl8ng/HNNl5yNncAXwOZm2qd2b7M7cBArQos6ulpMsY/FJsDlCpIXeptvpIU0OqDWlq8PKMYl7HcSmeYZWrptScY8zFpQBgxpjb0dz57xRLcpsxe9Bdzdg4FqF2tHg+YixFeSW480Cz0N0yxZNWmgRBzCjV/MFHJrj30boNv6VntbeUtmtHlPNXin2tNNpySSZ3j6F7MlZmMEvXolzj3S2fdctobbtZbhemqSaRHirxeOULI378nR1+6Q8CRom0GSgtSTJXpSh4EvlelGW1dsdsSxrO/ilprUJFyeZS2hS+tQetRMsvAJNpbeus5A0QZfBZkStUcXMpb9wli5JkzdhRLQFucgbPg7k8M7hakn5csoz/8VWZGwfQcAn3xJUm5RAZF/gW3LoMLguAZ4MuCx88m36ag1mWGjxfO9PLZlwXwaVM8IOELz3s84l7G4wiH+peob0L9nbvJGNMPm5/uSdBkLPT6vTtFjaVgyZdcINReZVhtVY81RKprVTJgZ4kHvVGwm2vHHDXvQM+/7CytiEShCQWHgMcKUkZABZsLV2RWt5lymAz+52MwVXW/WNMBuzcNsyAnp9fI8rKRpkFK3njcQVDVDOwRTvbJaXySsQmqSY1diSdZ8cl2M6XvO7guRi8IlFEGVRV9ZOpsrcTNecd14W1Js3KoDKTMIVjIUsWL+SJcDX4GKAdn7uYba1KcHsZuAM/ZrlnuP2+BgfO1aw0EfZAiFx7C5wJUitZu5AsxYXtAvo59EkObkOZUBlPaedSZSzxM14vLqVC6hSpPeKRx54NMd/+8h4P7gtoR1n6VVs9HqHI14GQZN54pYy23Pc8uZN/lbw5owA1NrCUuQ4X9t9cCXRRAbN22Rx77nGOX7kIWRVXFUyKSx/QJNXEsSZONF7g28mqdtGnalR/qX+0esW5V96lAstqMqQEhhkLMs0K/S3y4E6V0iWXJLIAsANyORZQyrTynIPb9xI0Kf/jM3Xe+/EWRnjW966wN6X2rliDK4FO5Vg4IH8O9q5U8jGuv3MmX9nKVmY0NTqVaGl9cSU1ceojleYn3tbn8Fmf937CI05KkGsEI2GXXZfFX88Q52hw+6NMZ0AZbGZAtzo8ey8pM+EZ+KVwgC7LwDY/71AmFrUxzp3QFMEnqwA+P8h5xnKVQ0ucGOJEEycGL02sIDdkJZIZe7grRI+ztjvTwr3CqvW+OLekMbDLKvDd4DKfmuRqcJe5XZmiVFl85GWvvXFZssIaTFAyxg9iDp+XfOLuJr2eD3W1kr2Lmm/H2RFlgqcix8Ze5yD/ehxuCnSPFS9RLT7SOmNy6QBdOql7abW4lB5xnNJqJrztVX3u+Eqdw+cyHWrDelIhGLh7moPbZHagqMqVfDalKgBud9xIKz3yfdaCooLROOfbmDJ4NHnugDI4LUnBJUlRIc4qebjujwNSB+85/jxUAMIv5r+5QC2lj6neLpznFUGBe3txmHq19wWLVzzvfMaG8z5n8YK5TcHWMndRMv2tsmW9pSNPpMvi0taejGLNXQ80+eJjdXsLk74F+Bh7F3cNIarBcHHhVtPPOW7E10P2GOtUgO5sWtvbfy5TTLYUidXdupQpWpIKiUolWijikcdrr4947c0DTn3WZ6RlZmtIu7wjHiNh5YbUlDIl1w4rOh4zkDvYyCVKPtAzd1JkYRmWQM/HR+TkWUqWMsuav88vumpsJ1aQawl6EPnglOzv1msBzUYdb+OGLctxNLrD9/3vwOjqyXL/gXFQO8wtxq6ykslNMYCm0Nv555k2z4FcyhU9NjHJDTQdDe6sPjCuv5WT2MmDS08mSGU7dWSQcM/DAb/+/klS45XOiVRUi6pcxi7n75WOz+rs/Q0kMUtkM1Z66qTsXbmiyadeZcVYYhVNLq03LrRHkmiCIOXnf6jDgdMe9zwk0YHIeNh+gVgrBuTBWr5DuSxZRZMbY6VKltgpGd3KEZl98WzlEdu7n30uM5zYVL7bB+BiR1SBnX9mEVzFYga28ndNcV0GQUCr1bpj65Yty+raq7b2lhbnjwghftykcdGp7laDVae7Zjs1lq4u6ppzj9tJrwtR1jeXjQumUgPtVgYWNdF5lWBl0+Vnq4K7LKZSTt2JcnotTy8Kfv0Dk9z3WNMuyiODrCTWx5OCuoRQ2k4hX5qVtduVLWuALobkVIcR5TXvUo01TDvHs3zvNvBWSwLcu1wemIvi+DtSz11twcCa2YTQMzz4ZMDywKktyMLMfIp4WXHoAGfF1SlceK0+gKcyFLO8I9n31eVtjPv7q9ilK2IVk19o5e9X9iMjg3otZH5+/gefeWbfAa9cQ6W6Mm9xVVBl82qgaVayuag6KNUAc2VQWUns5CcokySlk1Kytiy0twPw8U25gWWSJXTs6zRI+cCnJvnkl5uYmgJh12FHZCWxTr9l2d/4HB3zjmZ0NN0KXLgfuyfZIfJSpkAl0KzOL8yCTGkqWtwYXdaoCIXUmlR4yEHKbbcOePaoz3ve5xGFiXPfFxjtMyLrrtKZzkhttsaQl8ravcz1txKiYG3IhnRmhVY6d1WEvVgNmTIy2YVZFGJlmU5M1R/PWBuxCvacY5mz9Ur2N1ntTmYT5oZ7Hg3nYHsuQK/4g2O6uxpgOgCX5W3eDTqLEbxuUOkAu6LDVemcSJfBZVo+SxfcKdKpPfn8QyHv/2yTYZpNwRf5ZhcxLWpOhFMmUGzjscRKx2hlsOmy32oPUdRcl2WrjlTBrCihNdLJbErHWZEW4EZaX1xLTao9Ql/zQ2/ucf8TAZ9/zNqFuTeOFGjjMdLZl8pTkXpMpjgJICOwLoqw+yuzXzMZWSHAyLwRAtsEkSmfiiZ3gsnq8XOCTzPewG7G8Ccq/w3YRWZ1llPwaoEGYUgTTUypmSuCfjXtPQ72VYFuKjprJbBzVi9vrSucE2HG9Hd1QaSKB+7o7grQZYLyYvoj+NU/nuTomRDjlasl586J1d7lqm6rJnYYA7H72TiQv44gd7vYC2Z39HhZfOXq8ZW1KRbYWeApFKnOJEqqEcJDRppdm2P+7Y+0uf9nQ7rD7MtoUexXisfI5HeilSA3Miv8whSBpg1+sYFpbiNmYLbYNBW21sW5d55de7kIMF3icNPzVWdq/OdC2OMzjDSpscvLezMzM0ipGAy6tJcG2UpdqzkmK9nb7YIur8CVkkSMAVsUMsU4LOkwuSDzvZ01GV2AZ58XyZsKk+eOigW6lFZ3Jyn87sdaPLa/Zj1vmSd1SufEF8ZpRzOVsb8uc69WVGYPQrWZuoStWOV1+VGlwrAAdZlYsWA2K6sNhWXwIujMGT2VaJFtqbJSRWtu2Bvz09/V5jc/MkWUSiDJvoTVFymKYZpr8VWYvPjSTpYzA7DCSdG7bC1LoLtDgCzwWZUQC7CbKthXWIarsLvWmkajxeRkyy5R/sKb30it1uDksWd49ME78FSw8h+iCnh31vMKUEM5H5qxaafPAfDytSNLRMnY5XP+Oi2ZXLnLTVeZ21MJXi3lCw+E/MnHWrQHvvUAM8+brEk3Z2/PYe9yoL3DOLI8AStbrsanWImxz5w7/iqfuSxOhb3dBFAJ5Lxfs9TjGZMLy+apVEijbb1KopioaX707X0eeSbkrq8paAgKVGK1RopkqPP9L0FuyEpjde59l10+ZOyeV1sWbI4jT0SW9XQYfVzeFcfTlGDPLULh/swBvHO9IYQgihJuufmFvOiG6+h2u3hKeSjlI5UqfOaKeM//kQrQq1LEHhv7e1XGLn9vBbBzt6UiUUo70AW6EtoBtrG+tut9Z1agzPR2XiUoZYL0EvYf9/jvH53g8IKfrXtvWbvQ3ivYm1UkSnUBrao0qa5HX7n7jT9yWTuW2Cn97zKxUjRCOCW12lA0AZfltGWNiskW7U21RGQBp63e9JCxZvdMyk+9o8vx8x6HzgiM5wosAdIn0ZIhVblicibP5AjaZiyVNsUcFRuYgtGmYOgS3BQ+uTDOJNry5ufoc8r1VDOwl2xeyhic4ywyetDaoJQiCHx8388bHmQxU8STpjgz+bkYB7XL3AWo89+5lCQpPtMrEjxiFdauMHlFlmTaW2iHyculpnP/W8qEIEw43xb86vsm+MSXGhjfScdn0sRl73JF5VU87/GtJOmKzHYZHeckuGhfwd5m5WdlAzKVNrHxNduFyUchW/ZOtSwIxGpyq8t1qknw8KXmtlsHtEeSn/sNxYVlAaHL5AI7Y0UyFBmQMVlgalFmMk2usqZKI41dOKJI3YsiVW8ccEtBmRAaw0kl2KT6vEIqUz2eGeQRwqbptRHkvymVknhBcN7zxJ0z01MZ+7kJleoKW5WKvtzblqaY3VHd3IDQDRBLH7sIFNVYEKncf6P0uuUYcyvpOCcqsSye1ZpEaD791TpfeKiR1ZpkgWU2Q6Rkb8oh8g57u5q70ndJ+TM34FmNsgvwr+oZV2WJqTC7KCw6d2W08TLaXLKkOi+ldVL7RqKNyj6zr5PEQxjJ628a8paX9glEAkkCOgFTbsZoEg1DDSMtiDXEWhAbSLTINkiMXWMzyZcgNPlShPmiWll3Tfb5+JKFuthya89Zu9OM/075uV7xbxmGUcrU9Awg7qzVgvNSSuT6jZdxbP8Xjwsz/G8zs+usbvVccI4t0bEi2KuWsLqedaUxoQJu52fF4kY5A68eNK7c8upAV5pYcCuVkAjNp+6u854/nuD0vA+BssztBJYiA7ebtSy7icbiB+mCW1QAXMoVUZEm48/k+e2VGK++d8BsVrwWK15rLUsL0Uiry7MaFZvit50/OrUtbvFIsXVW83M/0uGtt/bxhQNwHWevU4w2JAZGGkZGEGUgTzQZoC2A89eJcYCeA9CI8gIw7lqcY0DPQa2zZgWzEuzVhWvL9/m/MRwlbNy4gX4/+m8f++QXj19z1R67Ro8wI+xUqxglrW1ol3Mxzoms+o/lmuSONGG1ANOVKKUOr1iDuXSR+RqMjjUoXBellCXSAXde2y2zwNL3U47NS/7k400OHAmhpQpQ28SOt4K93Xa0Sq2MC2KH2UvNPZ79WylbSiYvXZTVkj1ZmmIs4VMGm7pwXJxqQ22DXZMP3ymkS8bsQmbnx0oVYQyp9ohHhr27Y37oti4PPRVwfC7/gjhBJxitSKQspZLOPzeV4DKXLCYT0DpP5eej3DJP3OTYMGPSxSUKUx6vSnApRFlpmDOHkxa1IE/pDWKGoxjIFqFat+lKfL+O1pr5i8fIs1YVjeMCuziJxgH7uNWzOrBd67AK8hLU9gJwZY0ufq5Umv0sA7dMUSLbpJ1StdgV/PafTXD3Y7WySjDPWMoyqROuwt6F/HBkSA50d3LVauB3Y5f/mYfbXV8JPivp62zdYm3LT3MZIkVuIdphmNY+tDpcC4PIPHEtlH0vJAKFFpq0r7n1+hH/+F0d/sMfT7E0KByDsjwwA3EiRTbIxH5DI7HuSqa5VeaHm+zgyOy9dgBcPtskkcwxuiKTuboGrzor9k5XHkODpxR7LtvGzTdeS6/fz69RaE5uZGb9VXd1O4u/7vk1QJelofLSMkTmTQdjHe6uLClkiKPRi2BxvFEh78oZkyPSqQgs/G+VB5cZe2f1JkNh+IOPN3nfx1p0Y9/q7py5M9fEzu7Llv2Qpe5esZDUios3Y2zHdKgydd4d4zLDNwbuyoxwB+CVeoxVZQqVoLPU366zUo6a0FplHUFWj7c8+PG3d/mJ27rUdWJb0bUrWfJnbeVKJlliLYgcWWI3kWnyUodrk0mTMXlS0ejG0eiOBMk/N6tJE23ryE22pdrQaNS4eHHh12964d67dmzdWAK8NbmFez77q/1ouHDM87wxV2M1K89pOijYt3xd0dfKYWU3YSPci0BXnJPC23Z+5qbhpXTBnRYgN57m2SMBf3FXg06cTcYUTjpe2sBSUHrenvP9iu8mVrL3OFu7MWU1GeEwzjeI9LJdbcwyzH5WWSzKYfQVjRDFCsZ5/Xipza0WVg7IlZUfsaLlGb739T2uvHyETJ1gswJy26qe6CrIYxfY2R2k1OgZyMcAm45fBBnQCz1txoDu6O3K5nxmjMHzPM5fXDj2Y//4/+3v2rm5BDjAnmv/Hlfe8F3Mrrsco9OSvfKqtvE2sXE2dwPMwvFwgVwFr9usMA701QPKtAJ4F9xSJig/5ZmjPj/9a9M8dSjE+LKUJQWDS8cWNBXXpLJSwypaezVJUlmeRJQerRtpfkNyZTzRU4BcVCvpnPnhxcrIlc9c9paV7h+TT8Zym5W1IjUeOlJcd1nM7/3cMlfvHkGcWiY3ydiWgtGkOcgNRI6zEmeuSmIyZs8Am+RsbcaCwwqIy1kwWrOqm+IyvDtVFgNJknL9tVfwD3/0Hfzwu76jOJ5e/qLemMHzG/h+3f4XwqwIuHACy2oG0302lZ9VNHimq8UK7Z1rc+0wfc7oaZXlx4EtEzxf0zWS3/94k8f3haTKZe5ce9upIEVgKdxKwTHfO/t+43MHV4xiG2P0gs1dVD8Hws0YsF2Em7wIy/XE3ewmVW/cFhlhB2BqWy6ghSzWytF5pZ2QCGR2ThRCG1I0njDccOWIf/i2Hj//mz7dRIBPmXvP9Hj+SLUkKupPsiwn9sLL8wkm09pK2ASPSbMCLRv3lsFlxrRF50+On1ybjz+7d1XKioJGo87G9WvodPsrAS6Vh+f7h72gccQPW7tJB1l9chXojIOaMovpOislsFfJYFYkTzWwLBwUoceArUtg50GlSPD8hL4W/Mknmnz0C01GWfFUydxewd4ytwVlCe5V2btiCa6e4Kkke8aza5XH15Mn4+y9ygDMTJpo8iymC25TyBBbbOTO1hYZ4CVaaoSRCGMQxropNgDNnRVDkBre8do++054/MnHW/Ri7AHLnBMy58QFuc7BqzPw5sCWxs43zL6PzAPS7CIQeSViJfFTAh8hnNyDqQA6z2rm+YlEa6Ynm0xONI6EteDwKIqKfSx2d3J6CycOffXOIJz4ULM1ixDpigRPpR9S5PMBx2uz3QSOq8OrAaQcDyLFpYLLMdYWDnt7Kd1I8L5PNvmP75vk4oKfodPV3PkmHPY2TsVgNVtZOibOBQwr9TYrLwJwmWV8PuGlEV5hb+ezSro+89jcZU7yoNS1D4vunhXd+BK3Gz8PNsvg0yNNFRtmNb/4I21++G1dWmECaTqmw6tyxRiIsoRQIVeKZFD+uvTMy2SQIB2XH+PSxbi/W00auVImTjQb1q9leqr1oc/e+ZU7d+3YspLBAXzfR3n1z4QBb00CdT3osmOEMuEh8/qUFWxe1nXnr4uqQqkdizD/d3XJ4MIgHDuwtAJL3zsHt5K2tlvWDJ/8TIN3/9EE5xc9W0QlvRW62/W8fZF3C41r7lKeVIuqVgkuHetqBVs7MvwbfowHmCWdZ8C2yK84LS6D5yugORdDmcovPXEhZMbaILTOLMNSqgg84siwcTrlF3+0w0JH8qHbW1DLGTyjzNwulPnuC5LsC9tCMINHydYyS+1bcWTZXOZsbsrjWml+oBoHuT54rihs175BKR9t5OPNRuMzpjeoHFrpvtl15es5d+yz92GGD3ueWMHKSpWFT2X6vZQXOWNXZEfBxmNet3A+zxldVJ2S8r9NK+CWMkWFmsOnPT54e5Nzc4HNVLrJnEpgaTW3XwSU1oNdrVOnkGMVNs5umY41UkxDHWP0bxTc5rk+H7MM3WU8Ks9FcVbO1rmlVmVxkzUrF8FnEYS6I5lLhyWJJBvXpLzr2/rs3hpBlGaMnduIY6yeWXWxgaGxqf2ocFjIlkN0mXqlRahzpnZGRl8quHRtxiQFpKLdGz38/g/fdd93f9cbKsfTGz/A9YntICRJPEDHI4pFWC+VuawEnlXWFiv09rgO15lLM8bcoipNhCj9biVTVKA5ctbj//m9Kb70SM02UK4AdgnwMmNpCt97tWaG1QqrVm10qAQ5VY+wcmGswvxVl8QNNMvFv4yzFcB3spc5s1tJXC2ntazNqiwuskIsrSWSPBFU3m1ToyB7r4eG17xoyK/8dJt/93uTHD0X2KAz36uKLjcZlOw+RZmmzguxbPxQDv/MtXcehOZxbM7aJs8K52MlHFZHVJNwxkCrWeOavdvRWq8gjBUA377n9QipomPPLNJbWrAzwx1AU8iT1V2TKsC1U02os2XkSs9cuK5JBupCtigrSVxwS5mifM3xix7//vcn+ehdDSKRzZwTbn9lLk3sxelluttjdfYWq+nw/NaYyxFHljhEvvpnqz3cH65Sj1JtrC1/p7JwU6G7Syovkz3GCTBNORFLZIu4CgfoGYMLbQtzdSZdsssMIRSJhpqX8M7X9Uk1/LvfneTExTADOWMgzw+AJRqNIMo+9o1AYwqgaWNT9krkQbSVLcW6QPk/NS5JjMl1TLkyRHactm3ZyPe/8w1RHKf88i98HYDXm2vwg4mfnV23/SoTHbk1TXoIZwpQweA5aV2CveU4g4+zdgXgaQY4jZAaVQDbgrxgbk9zYs7j539nko99vkEk1Vim0nVN8tXGKIbXVxa3GmPv6h3pEkxcfOeqPKlS9/+M+F794Y5SLpM9jg5fIVMscKwlaNP3xWdjtSlSSMuaWalt/g8IY5GT63GAJDH4Xsr3vnGAp+AXfmeKE3NBtvzDahdr/gM7FC6GokFCC9uQXLS7GTEmEYVtWKZ0VnLmzu3Doqkoe6RaMzXRZO+eXV++fNfWn11a7q44lnL8gyCcZP7Upzq1Wu1AvUYa+Gml+q9SL+JKizypM27viarVVxZQpY6+dsFtn8fBLVTK2UXJL/7uJB+7axVwy3GgW/b2ZZmxVMJaV1Vwm8JuKrp3uLQ8cbFcYLt4Y74+kz8nslcyuKtVirEJVCVI5Ved7KapaPDxQfpltjPX3pWUflFeK/FSeMfrBvy/P91m40xsRbBJwcSOm9kQFgAAJkpJREFUDne3bD3yzFEZZYmhOEv+5Amh1GTLlY/p6kKzG1Y4LWn2b8YaolSQyiANG40Dv//Buzoz0xNfH+DF1RG3f9oPGk/ma+GsFiy6Kf28pqTU0Xmtii7YeNzXdhsXZFY0VXbr5GPWUqTSpL7gjz7V4qOfy8AtVzL2uDQZT+iMl8QWkgRKmQUVeeImeFj1Zy7gy1/6nyFyl5VdoFYB7X4uqLguTkazWqtSTeW79SorMptFAJrXkKsipa9TgZca3vnGPj/61h5emjogT8aswxTXRkTbBFSsM6BrQWysnehaigXQzSXAb9wA0wavBslEq/Hk/GLvpy91bFcF+Npt30GSJGnQvMpIqRwWHiu0yl2WLEFTpvZLZ0RkIC+Dx3QFsxfOiSo97sI5URo8wZ331fnwnQ1GUmVetwtoBWTvyYqpZAZwzFgTg3tbNNVGhlWCwnGmdo0Sgaj8YEUWk6/P5ma1X3Ru+9ph70ozMlUgV34+lsY3DriLPk73DuCA3K0lt/XktoZcp5JQG77nDX1e99IBIjeuXZCvtmUrvpoM0FGe4jd5ij9P74+5LQWw84vS8cUz4CtP8tIX7jJpEqU/9QNvWPX4elziMbv5Neh08OFk8NQVo975pjbVn+eAdl+vrrkd7e143XkAWvrbWVDp2ILK0wgP/ubeGj/7O1M8ezTMvO5VJIkcCyzJEjpjtd4u0Me9VukA9FKZzIKdxyLLyoXwjYJ7LI1ZGeHm4NzOxBTFJ5VmZPJJT+VccZv2NrhFWqKix0Foma11mX2WvdcSG3xKi9/8rwphMClcuzvmv/6zNv9awe33NqzsVuNX52orKdiDlSLQQEpWMIYlIY1dzU2Kcv9Lf9whE/I7E2zZsLZ325tu+fBEs8a//xerH+NLSpR6a4cZLD/22/XJa+Yhn1lYyo0CwHKlLKlafau9LutLyn+vBLcSVvcLDz55T52f/2+TPHvMAfcl7ECERMjcNcnkCe5yf2VdzWret+v4lVWEgnE8uzp7/PU3hOwcB6uBvYJsUclqrmBq52SbUmCtWkpb1eLVKVk5o5ert8miOyjNCrXSXLJEkqt2xPz6z7T5e6/sWwrW4xp8fCv9coztzE8zyRJlbO5WJFqZknnijh9eVA5iV3F4xY175u+679nf3nv5lkulFS7N4ACNqetJ4iXU3P0kcc+e7lVtwdXYW1ff5wFp5SLJ2Tyt6nClwYNP3lvn3/zuJE8fDqzXLVcDtStNqGYsRTVjWY6AWGUSF1Vwk5PmmGVY+cwB9EpMf+Mi3Kx47zoogMvYpvxvimrDLAkiRHWOiij0u6n44TmLay0RUheOijbGLgdoZMb6ILNOInQ5xI3IcO2umP/4j9oYA58umPxS306WPzSWiAwiY/FMXwvwsJaiMuVNIbcRhSjHvmltmJ5u8Yqb9rB+zeRzHlv5XD8MG1tHQqh/6Dd29rR2AVGCVriMLVyWrmrxPEspKw5JrrdLWSKk1dy331fnF35nkqeP5lnKMXDjjn+wyJWFJWgqrC0zByWXJCtsQi7hmLjW4AroiiqwrX9aqVn5RiJNtz1tBdiLpM5K8OdDKyvb+OQr7bD7GIu74+Dc5ogy4HTea4HJ+jrTvI4lgut2xfz6P27zbS/vZxlOXWVuHVeDT71KAJpp8MjYmpbYLbV1spfaWDlj7XDDC67Y0pNK/sPLd20cPdfxfU4GH42WdNjc8+DUBtnuLR1sSjEirygsyl7HNLfL3PZ3LOApfG+NoCpX8t8RSmOU4LP31/jXvzXJswW4ZZWtna74QneTyRLc7nizCojdct9VvO8K0McH1JSCu5Amq3nh44+xz8azlNVfLO2UcR2e16W4S3+vXk7ravDstaDC4qV3br+wyBNDMh9FYcFFVtqaFxLmulwIA1HKNf+/9r48yo7iPver6u67zp19kdAyWtCCjCQ2a8EgIwMGO8bm5enZx7GzOC+OX8Ax2E6cELzI5DjGcGIcLxgnITFWeO/gyDbbcwLYOdjGT7bMIgQC7SABQsuMtlnuzL3dVe+Prqr+VXXf0YwWBCR1zj299+3b9+tff/X9lppRx62fOAopGR5ZV0AEKLOpLHfqieVkPjH5EZRWrn6+gCoupLZzsq4p7+MP37/i6OIFM35zoO9I2n1J2pgWPFeYhCDf2sdQW9Xec07d46OZrvgE1LSeieo8Uqvu0BPGIzAVd8J4DO7/eDyPT321Gc/vouB2aYnvADyhJlZdQTiZ8q62naWaEELtqiKWsuLwE1rBysLzOJmKxbHhWm0b8PpjB/2TUFnzSRSVRGGxrbfQobUq+0cSq22y8ok2LqWOQtScnGFBbx23ffIILnnrCDxtyQW12o5lT0UlStNJ1ta8rnk4Ys+lUL/36EiEi9+2uD5ci1Z1dTT3zZzWPeZ9HRPgvh8grG5BU8vMVyrtC3b6uWZImTwwpkNJkxRI9B+zOpJJkjCnHxaP0iB9hkfW5/Gnt7Zg665cnOrObY4dI8nLBLdxxxtgZ5U8tmmKmzBM6UlW/ImLVzfZoRGoJyCJZwCeJTTFaN8sAbXuWIKCnYAaRC4Ec+RBZgAcPzAJPTHpbubjZTwEHkTEIWsMc6fX8c0/O4JLl4zAixxgiyytPMs51ADk6gmPIoGO9gouvGDezoXze19Z/+xu5HLBmPdxTIDHf6KHvj2/2DU6io/y4nmohzKJFzC5mC6/Tqw3c1STeL1OWhDwchLCZ/jp4wVc/7ct2PpSDnIstcSU/fWMZJdUpkoUE49pak5ADdsCZzl3UvQki5c3AjXTd4aubgxvy2nZUAfQFtsuFA+63MB9b7J9LMDHVtxNYBaux1Nyxd0JD4frDFJTySFHGeZOq+NrnzqClUtGwCMZp74Zr6bL0V2+HoF0GmLnkAK7VHeRyxDvvnAuuAg/+sMfr9vle8eE79gcHAD84hzUa0Pwg9KrQuZ/MXjouYshD6r6J44iQjqddrAVCaJSnJsxCZ6X2N3vY92GHFZ/p4Ktu3KQOUcdYQ30bvWjfSSatw8kHUrSwaRBYKmwWL0MpOiJwR3pMLodTFf/NrHLx773NoKZo3urNLRUSQnJoBMNUpSGdDIZUV1i7k0UFsRqSRwsRTi3rn2s1RURvyG5ClkRhogjMY3qhc4ZwOoC83vr+PqnjuALfy/w66fy2N0PIIfkAAn7B6U++m3NEQGoI47viiKBqV3NWLl03i9WvefCVweHqqg0lY55a8f1NwS5Mo7se2x7kK98vbnjbDCMGhXEKsbjqilc2FSER0YS9PISW/cEuOn2Cj5xawu27B4HuC16ElvpHFNsxlFNUh8kljfFw4EMC+7SF5miMtTJ41IXIA3+TGzrDqXuX1oyoDM1n+RsOhbcpSk08cH+IFNRyVRVhL0tyf4hGUEZlnze9Dq+8edH8Llrj2LOlDow6lrqMTRzQbOHJCIJjETA4GiIi5YuQFtb5es/+vf128cDbmAcFly3YvMMeEHbb5g4cq8nXrxajj4H7jFDSUxnk0vlUEk6lUwpJyZ6MC+xfU+Am75dwQ8eKWIk4kA+C9zc/vAE3FYYLEvGszS6t7be0PmhLohpgVAX1Bn0hDh8UhJKuufpoHocLJywm5Qu7kqJhIJAKSRmHSOdS+5acQVupVYwZOR1giVj0IMW9owtuRAwQ5KIDEsOBvBQoKc9wod/q4p8DvjityrYsSdQllz/QgHowcGlBJgwGjnA1QXGTqhaKHDhubOx/Px5956/cPZv9vcfHS9sxw/wfGkaasM7d5XaV17Haj/zQhZcJUXVpKAllEUqMNvUxMSpBAw7Xgmw+o4KfvCTEkbAMsDNM8DNjWk0ycOacyN7VAZXIUnFnTgYdFPSkIFd1uAzXhw3AnVqk+lQxhchCRg1naEezgTASj5kNNRW7yONRCiZjAGtwWw6oRyQIt4PMMtQw6txA3r11pBcfY80cTMQgBwRyPsCqy4dBqTE6m83Y+eeAAj0VVO5UIObzusniaGplEdXe+mBD1619LqNW/fsXjxvCsbbJsIUkSvNQn3wkd1BZeWzPNcLzmrwvDoZ6CmEx0igFEtoC+MSPM/w4n4fX/h2BWsfLmFEcpWsQHVtRoBNeLdRUeI5W+9OLDEdS0fLhCnuDRBr7agkjKWAm4oFzwC0fczEkE7BapNxsp4A3u48JpTF7nQSSoKMdZnzGbRF0P1I2psgFbMkgwCpvaJDb0OGIiTef3kVq685it6eeuzNMZ1Ot8Opg7TqyadWw7mzz8AH3/3WZ++6b92EwA1MwIKbPzKYAS9/5le84U2zwF/6QCBfjW+w1B0v9TeRCENwoCY5nnw6h2+vLeFff1JCjanM35TTJqNTqZUTRUV0AoOHjMx4OEFUWVSEUhYHwCnpkHQ8LatOlRSHbB9XzoPm3hJWXUgDdEam9iG2kqIpCpyaKkxbcSRWHNKy/Im1V8Dm6nyCq+ArzVNgOpuatgDxOt0H1duiMELeE/jAZVVAALevLeOpzTk1MC30BSUPtr55AuACmD6pC+cunHHPb19+wVee3vzShG/r8fwVqB5Yg0LnGaWvfvN7D83oeuGidy4fRpETy6NABADMYxgWDGseLOHzdzTh8KCPuh7O7VjgtrbDuOJzjFSm4qRwPYkcTOJQ4ix/T6kB5oHgCWdnlLsrlz8do9JjDMlYlVnzLDmWq/EwGcA4U/uosTHVdk6z+nny8cyyJPvQ0h1krFEThw8So0/qtVuDeNnDw3g0cYUlNdlt2VeSxJM4NNr0odQbOc68sqsgMB0VanwkSljwJOrgODLo4bN3VHD3gyUMRYxQT2JBpESJR7jy4houXdL12O7w01cU+K7hL/7JeyaM1QlbcAAodv0u7n5g3XD39D+uffGOf8RAdTs+9M4qOBmwiDEGFgCDIcNd95fw2TuacHjATwa+SfFs6tChVIVp44BAXbAdPEVUEziOHNidSx2048aYWPQkw7JnyyGJCc+0Emx81sPwbJePk3W2y54lY8lbPB0WjQG13Gqd1Rk1XBwmpFaPK6/rHnLt8FEBWTH/FhBQlWzBwSHUNcXUhQtAcIBDKEseP3giiuBzia6WCF++ZgAel/jefaWkuJB+9UnAlxGuXnkUX/10GR0zP1wDDgwHwcTBfdwAB4DLl5+FKBLr1z9z6fJ/eeRocdXK3Sh62mrH76pte33c/2gBX76zCYcHPEJJGoBb96A5tdxK72b0Y1MTi3c7dMNIhBTIQCY9ycKvvR+zgU/2N+qLi/MGPVANrhSmHWAnG5MOZoJpZuJMNPANTbFiUdR3pUAu7SFSNC0BkuPVQyVMTZR4yBuh5RSdKUzZiwG5okFqG0QEEUq0N0X4648NoBBIPPBoAdv3+SqEM+4S5nyJj14FdE26vMrYOesn2FW02nEf2d3ZCu4Xb/yzj1z5tY9cNWeE1eOnUA0ajHWbcvj4l5px47cq6B9sBG4H2CAeTFJPylAOF9TITiCmw1sbNY/FsEiVhsgCuWW5M3qS5AGwSfrxt0aOTMuZA9gdSTPPyLZEEXE9m0LtJCRUZF5S5s2atzR0be25tQ1k3gyRIpKOpiR5nZJskwIQkUR7k8DfXDuAb9x4FEvfUos9OiJWV6Ioj2deXjZSCz7wNeYVbuR++2sPcADo6SiKnuDh1f995dRbWH5OLVSesf/3TB5/8Y1mPLyugNH6eCkJ0bkNRaHx3Urz5g7QkXQsE7DaHU0qD+oHxjWsRj1x8OoKJ8hYRuby+AHvuuplxjrovhiJR7FUFsBepk4jpYhAg1OJAllufbosZNrRI0n+ZnJMhrpiVbT1rHWx916iEAhcsXwEt/zpAJYvGgWkgMfqmDunt/bMywtvWf2tJ1cz1jRmtOCx2nFTFHOCYH/Na+24ec+2abXntx24afuuKv/Oj5qxYbsf9wZTNdB08LuW/ThsF3wa3Doj3lhtSBib71juRlQlVcieWHDugprQGjj7WqIKfQgIuE1IynhJuN6X8nDDnzO0b8031BfadEKlrjEGT61PEiFsihLXSqFauqY9pNAnEqkRTI8koTRyEd90Ds3RY15O1RXONYNRw5bo3y0ERB1gArh48Si+eYPAt/61gAOHmsWkKa03tbRWvjpc3Vsbxx0cs52QBQcAv+167NpdqwZt59zbOmmF/Om6AE89nYP0HF0b5NNQ507kQAZFSwBVsMcOpLJc8yAx3wCynDwaQ9wBZWYOpgaq27k0oM3oQY6zUzmeJjMWXKtOnTwAoSz6YrTsp/fJ0Lsp1WmUDpeVICFI0rLZppOUqbWnycyOtTdvIJWjdt7Zo1i5pIrlF1wkzznr7Hundx6tfuNzHznhe3nCAAeA3ulz0NW5eFuhfN41Z5z5WwKVXPrUlgMng38zG9w+U6oJI9IY6Uxmf5yiPY7lTXUyG6klxBy70YXmePKzKK4a4X88zVJLsjaCWcBOVcOC7ZVM1S90+TyJB9eg01n2xsEDl4vb2UGC8nMDfjrqG1OOH4/weK13xf+ZjIDoaIDLll4hlp23+Jp12y7Z5uXPOhnQPHGKEl/kCvzbzzbWrlzxrjtrsq90/sLpt+18cQukZBioeogs80cB7YKegJuRrBzo5OFk4CIt+VGgNuxAZsaiUF7O0qoJ7P0S3QIp9DZ27LBkO9lHjuGip42C3ZUD42lMT5hRTRyVRAOeudt0zqeKMoxPpbJ2NCUiLn5IeIxQFyCRBaWSA8HjzC0Z53qCa9kxdrsLVZs8riAbU64IwOCQh+GqBPfnodTa8emVF15258rlT0SMX/D6ATgAvOvti/DKq3uiz19z9Y6RI5UBPvRc5fHNh/Dpv+3Ei/2Uj7sOHm9McFs1TdAgQlBbdoKbzMhAiisqjriW3Nke75OsYKl12WgdLwUHCOipJu5IicZys+xjrVgVIheCbmdUApRknX5mkhHbJKCGC9SFPuN3iE5/4wCk4AAXhpNzJRsKod7gPIqHEORMAV+CSQHPB17s5/j4LS3Y1T8NX/j4qoFV8y7ccejQnqi9/eSAGzhJFEW3tuYiJnX1PdA7Y+W10+d94OCcGS3obh9VJiyrhkka3Dq+xE8FTzn1u1MVbhtbb8s6NwI+waqlc9MHAQmoU04i6H7fiTFxmTEvLUQn3DneZk+T/ZnN16VNUUzScoq22IpKQmF0RzQjedni3g5Xp4X2qboiGF45IHF0pBur3v3fDl605KJr128eeoB5TScTkifPggNAqdwW39DowBrkr/YXLgq/8vYLH+56ZhdQ1QB3htIej+XWjM2AO8tDST409tumInHLoieADWzNv0HOm+boTmMN5hs1Y1mhnXjaDwxd+MasI/tq76TlqYSzzqUkuvQ1Wc4Cubbi+g0AFbOiVRrz3Ej6vVJZ79h8C0hwRVwSSw4VpCIhOcdIjWHbi1Nx2dt/+8B1v/+Ov6iO1NYsWzixQKrxtJMKcPPfel2Q8sA/o/g+zksjX/a9x7viEv+25dZyngfbcluOnKwEBk7B20D+c6w3kO6UWvIfs/GboisuxUED7s2OsUxaiopncXOyztpspMIYxZLFfDp5YqAojlMFSxmIhJJQt7103PpMUZJEWWEK8OosahpfFZUFFZsHg1AWHvFLXEqEoQ8JjncsX3qgXr7ihr5D4T/P6W07FVA8uRTF+l9ZFz556y/vHA4nf2be/FkHfaF/YZwpz3lssXNMV4BNwG1EQ5bRcXTrmyCtamSCNYNf00x4a1MGP4dzLF1k1jmPk6RkcpPsacqrSaZUIZHG3MIQd1tZcaiLIF5KS42hIbT0GEJjkNCSJCOIVMQSHqJIZwEJSH/+wamTOj4zq/meO+f0tpx8AKrmnfgpGrdfPfJ/cO6K927saC2/5LHonXv3D+ZZECDH40JVOeKZNCMOw+HdINo3l2n3PEfawqt9Gcuw/Iw+OIw4iOh2loy0xqCiArXwoyIHaWCWnudq4Cmu1zGynz1NPbiJf6vhm0YPoeL2HWj9lmS7bLDdjqexj7H7I7F3N35CkvXMui7XGFiDvzjuf4CBo4ZC08wBBHOurddxd7HnfzWKUjgp7ZRQFNqkHBWtzf498+dOC/18010bnt9dKHlepuXUfDrlwGHOH+auQwYwnPUpC0sBBGc7s1aZhYbL7jY3imo894lMbZqgrkfarMQ9VnNmZg5Izkq5OWE1Rh5kREnR+8a8XybJFEx3ZPWgV+nXv6CXJuOC9nE1z3iolAh1+M1nj7Cg+4+airkfhOHoCbnhx9NOqQUHgCcevQ/nrfwd2T1l8uYmH8+1Frz39h045Od8BhqdZ6iJ4oiNEoctq41kPssqUutOl42VdvczVjux2La1ZmQ/14Iz81bgnFnrx7TgSKZZYwSl4mf0OUCm5BxWv4LsA23J1Tog/f3JOmaMB8g1JMZCHW+SW5CQPWZtgRQcYeTFo0WU54wEhekf9gtTfzQ4GEVNZ3ziVMPv1HFw2m6/8X8Ah/uji5Yt+eGiuZN+b9miacM+ovg2aKCaG0VGGzYfx3rrdQ1e6faYQvafbv4D58+zeLlj8QFkuBbV9lQkVoP5Bk2SXeUYL2ujYpCjsjLwkxXOescFr/ezj2UONydeTsKzqeufHpNU11K/SOny9ToDy88bZsHM3+vsXfjDwYHBqL33YycOrHG0U27BdXvsJ2txznkX4tdPvPDc4rOmvSAlu+zl/sFCLUKSAUPBnWW5Mzh1uhSybGy1Ca/WFjxt/e23CuXpjDESO8YMJ8+y4vo7jmnB2diWO2t9qiiRZelZ+jiFN82hafXcGKLMolnUitv7Jdv1FzP6iOov0vePhwAY/MKsI0FpxsdGh7beMzyYx5S5f/hawe61AzgAPPrwD/D+3/kDlNvanp06uX3P5Kk9K/b2DZZGhocReCx5DaPxn+6CmFIJChY6tTqMDj2hwNdpZy7gdbSvTWtsMDPOVCcTDtDH0clE9nw6ItJAKeNBYNnryNR+kzmFRc12h74Q7I51DfrhMf+gDFEotqDcsaQ/KE6/vlTM3x3JCnoX/M/XEnKnvpPptq989vcBAC/tPfS9XC7wF8zovnnN9/+jq+/gUXDuWUzAfdtbfFPfVJbwLL2dowEo3HNSKkL/XNB1aoF0HF1akpIS3YsfRzNfoz/EOUO9jPSa3awgKhcy1TM1tcYZVCkIpZkjiU8RyoPDjcYNoptLq8ObykLSDimZ/JIwlPDznSh1XnGguXvlX0pR/56X6zqJKBp/e004eFabNqkNxYD90x+tetsN13545YGejgpGaiGEQ0Qp86TWxgW7W4pN7w/YDwO1dHQft1EMW9/Lsvdr9GA2avIYy9nrky9LeLR9AZacnhll6EYiMsPPEy3d5uIg2nimXk9XyBq434rmnqsOlLuuuCGSwT+dLnADp8GC09ZcKWNgYOjOq69cGobMv+0f73msbd++PggpDZfUqlgCsgZu+kwZMbtz2XAfZlvI5N1s0UtzrlQHE84XTaBlWcdkY3JO6Vho61hioallJcGHcU1CXRRIg1xxbjNosbb8ujoWo+EEJDeU0euIoxoLpR5Uut91qNxx0Z9LIe/K5cuvLaicdloBDgCVShlDI/U1V112wcFN2/fNRth7y/9+cH0QeAwFn1vg05NMIAM0Cd8GtWXB09fAKIjd85udHAHateTkuONpDMh21cPRscl3J5GFhIaQ8ySnYypMlWjroG57llATXe2KRA2a42zNx9wXzkIAEcodl9SDwPtMc/eyHdwr/F/G86cCMhNqpx3gAFAuBOJXT2x54It/ckXuoV9vHx6Ff/tPfr6BydEqhxrdXIdZUDAmQJQZ67LA3gB9BFiupTaLUgdfMYuWsAbHWMdnbZONj8ks/qOOSYE945wm4tZKbYOJ/zbgl9rzKFVhoSR2HIwpq03GBtLhuFwiHuFaQkRArlgQLZ3ny6Dp7I97xXO/Ozz4Sq3S1nEKkDLxdto4uNuWnT8Pv966vzZtWs+as8+aseDypXM+P2dGD6qjIepRvI8pgQyioMBWTbJ6+nrerINjcdUr2qIjSJwoQDZIE+t+DEI/gWbzZoxJzqWzj3SPB409oesIHzffRUpESKbr0TuVZ3UAVjw4MEMdfmEK/NI5ny+1zFpQKk9aE8gdtUrbgpMHjBNsrxuAA8CVF87H2xb1Vqt9e7de/77zb547f/pNb1l0ZsT8AFEkjLfP9khK2ysIF7hpCuI2Swqj6+AsON+T2u+kN+1AcZ0xiWKiJwnQmd0JzWj0PCZ81poSYJMSypGKCpRSwA842rtnRZ09U2/aN/Dem/sODGz1S/Orucp5p/SOTLS9pjr4eNsjP/4+ivMvlbf91Yce/ekDd+d9jiUH+w/7URiXFvCNVm3XHTQDubK0VGgFR6ltruPH5vWJU4ereUv3tubHmjbahuSBOcbH0q8Z6Ws4ej7c61f309wXxCew3kqpvgktn6HfZfqBEmDMQ77YhrZJK0bbp37w1qbOSz9321+/RXbN+IPTDZvMdmoN0Am2/f1HwUQEydiXN2zaufwf7nqQj4xUl+/bf9D3fS+pDehQFMABMgFWQ4cQcfBwEjVIwe+uT2JWmDlHlieTHuc6krKuP6l9SGiZtb8kDi5nnkyTYctlMpyLZRgypuaeJTUNISWEiFAot4X5XGHdjPnvFZXW2euExA2ex+DnWk83VBq21zXAafvOd+9DLudXjh4d/Pvnt+x6/5adr/Lh4SoKOQ+el0iGQAbQFcce29PJCKjGCLZyA7IooDMAzh3v5jEBngoQy3pLJcVDGZfp9bRA57gADkDJr0Cy3eMCHg8R5Arw81NEc/vM7+cLTX8sovrA7Le873RDYlztDQNwANi8ZSeayoXOLTv3XPfjnz5x9uFDh69+bvMOFPMeAj+GtxUtigQYOAbAbeCx7MhDZ58U0E8iwF3nFXfBT0tpcJkCflJRNg1wRoCu75EGgy7TzBCBsxq6Js1Cudx8b0vP0mcL5al/J8JqX3vXzNMNhXG3NxTAddu8bTdampt6n3x689c2Prv16g1Pb8LBQ0cA5oFzNSyG/nHHsOC6fHJifZ35DP59SgFO+gaZAAcBt9lPWtRFW3GmSy9nWHAQgAMJyIUQqNUl8oVmTJ0+H12T59zb0T3v+tro0K5K6/TT/ddPuL0hAQ4Ae/f1IQiCM5/fsnPR8PDwdU9s2LziN09txqFDR5HL+WlnJEuCiww4dJ1DzgjYmP0QcGZPCVgBh6tzuyN5Ihzclj4zRoij1IQA3ubhMsmE4gkvTzqR8bJuUoTIFSpo6zoLHd3zfl4oFv+uo2vmRiHC7cXy60PXnmh7XTh6jqdN6ukEgO1Syu0Anh2u1iYvXjjvO09t3HLmr9Y/7VVH6nHhefVPSuMpIo4Qcj5X587ybuopa3DMRNt4jjcVkxl1lyOpKciQOFndqfmiZJmlvlclBrMcJveeG3VNnrs9qocfmzF32asAtrIT/ZGnub2xr560ffv7EUVR77Ydu6f4vr927f0/a375pZfLg4ODqlSYst48GWFBf2gOZqN5N9bb7bw2oihjWfB0jqjNwRMlyIm/cax1iqaQjqbHJTxPmpEfPK48kJIhjCSKxTI6uyYPTZl1ydEwDFe1dU57hXFvV6n0xrTYbnvTABwApBAAY/zQ4YGWTc/vWMYg/uHpZ7eGj2/Y2v7Kq/2VWMcV4AzI+RyerxOeWUoxsUCZwcOBDIATMFOAU15v06E0wN3Y9cTiytRDwJ1OZdKn0MO2KHB7Uo1pKuH7QOBzBIXOgZb2eQc7eub4vs8+2tk961d+rnJESgjO3zyweF15Mk+0Mc7BGBODAwOHZs8446G2tua537177exPXvOhL116ydJNU87o2dDW2jJSLpUQRhFkpHJedf6h87wzAiiWIM1soy1xeY/tRWx88baakXlu2O53QVzuZl+9TUhEUqrRiwXy+SKKpeaRSkv3hmmz3rpp8ZIPfmn9Y/fNzheb55abpzw0NDx0iDH2pgJ31r1807Xnt7yIIPDZfT9+DOVS4LU0l28fHh6Zu33HCxft3bvPC+ujACKMjtbhcQ++z40V9j2kVBCAAjFBpMa/TjpOrHW2BfeIpaZJzzTswA0AS40YZygI0bwhIGQExgMEPkdTOY/2jq6os7v3sVy+sLU+OniN541GZ/ReDCFC2dw243T/Rae0vekB7rb+/sMoFPJte/f3/c299z+Se/nll6KmcuG8Wl2cv29/H4aHhsA5Qy7nI/BZDHiiwJjArIw7yZDwcDOi2jgArsflorw8q+nv59opw2JnTOBLQIbgTKJcLqGpuRNhxJ8Q4ciTZ0yZ4i1Y9I5audLxV2G9dqhYPnVFdl6P7T8dwN327w8/CsawojpSe+fg4NCqarU6b3h4GJu3bIfPBaKohrAeQgIIfB+er4efprRElUJjugObDCdol5Nw9fYE4BrkGvgSiAcY1t9hvktAyhBSANzz0VTKoanMccbU2cjliygWiluKxdJa5uUfhpQ/X7Do4tN9i09r+08PcN36+g8CwBVhPZy9v++gWPMva0XvtK6Zk3o6//LFXS8BjONgfx+OHDmMMIyRFwQBACCMJKIodqYEPofvc3gK4IbiIBkj09RWVCD3OeB5Md3wvbiDGEZAGDEIISFECCmBMARa21oxuacLo7UInd1TUB06eLMM+19YdvHVvNzUxj0v2AHgoaZK6+m+pa+L9l8Ab9D6+/qQz+daX31174qNz2xCJFm9vaXpk0KKy+t1gUhE2LjxaQwMDKI6KjA8EiEXMHgsghAhPMbgeQy+p8d8jy174MeDwuoRzzwvHs3c94BSMUCl7CMXCAxWOYaqQKnUhLMXLoLHPYSCgzH2CJfDt43WZDBj5nx0dU/6ea1WO9zZ1Xm6b9nrsr1hHT2nunV0dgLAYQD3A8D+ffsAYHMYRT1RJEQ9DPHCCztQGx1FGAkwzlAPa/W3XbRkdXV46D1hWK97HkfgM0RCIgwlPI8hH3B4HlAP4/EjfZ/B4xK5IAgqlaYH9+x6cnWh4AejIQcbZSiUmjD7zLMQ+AEiyTjn3j4AL/T09JzuW/SGaP9lwU9i++Uv14Ex1rN//76WWq0mPY8jCDiiSKAeCgNwnzPUQolIAIHPwJlALpdjXV2TjgBy3+Jzl5zun/Kmaf8fjUZxhSg8jzoAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTc6MjU6MDUrMDA6MDBP4Z+VAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE3OjI1OjA1KzAwOjAwPrwnKQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32175157
    {'hecke_orbit_code': 9009535750505204, 'n': 1, 'trace_an': 80}
  • id: 32175158
    {'hecke_orbit_code': 9009535750505204, 'n': 2, 'trace_an': 6}
  • id: 32175159
    {'hecke_orbit_code': 9009535750505204, 'n': 3, 'trace_an': 0}
  • id: 32175160
    {'hecke_orbit_code': 9009535750505204, 'n': 4, 'trace_an': -2}
  • id: 32175161
    {'hecke_orbit_code': 9009535750505204, 'n': 5, 'trace_an': 0}
  • id: 32175162
    {'hecke_orbit_code': 9009535750505204, 'n': 6, 'trace_an': 0}
  • id: 32175163
    {'hecke_orbit_code': 9009535750505204, 'n': 7, 'trace_an': 0}
  • id: 32175164
    {'hecke_orbit_code': 9009535750505204, 'n': 8, 'trace_an': 24}
  • id: 32175165
    {'hecke_orbit_code': 9009535750505204, 'n': 9, 'trace_an': 0}
  • id: 32175166
    {'hecke_orbit_code': 9009535750505204, 'n': 10, 'trace_an': 0}
  • id: 32175167
    {'hecke_orbit_code': 9009535750505204, 'n': 11, 'trace_an': 0}
  • id: 32175168
    {'hecke_orbit_code': 9009535750505204, 'n': 12, 'trace_an': 0}
  • id: 32175169
    {'hecke_orbit_code': 9009535750505204, 'n': 13, 'trace_an': 0}
  • id: 32175170
    {'hecke_orbit_code': 9009535750505204, 'n': 14, 'trace_an': -10}
  • id: 32175171
    {'hecke_orbit_code': 9009535750505204, 'n': 15, 'trace_an': 0}
  • id: 32175172
    {'hecke_orbit_code': 9009535750505204, 'n': 16, 'trace_an': -18}
  • id: 32175173
    {'hecke_orbit_code': 9009535750505204, 'n': 17, 'trace_an': 0}
  • id: 32175174
    {'hecke_orbit_code': 9009535750505204, 'n': 18, 'trace_an': 0}
  • id: 32175175
    {'hecke_orbit_code': 9009535750505204, 'n': 19, 'trace_an': 0}
  • id: 32175176
    {'hecke_orbit_code': 9009535750505204, 'n': 20, 'trace_an': 0}
  • id: 32175177
    {'hecke_orbit_code': 9009535750505204, 'n': 21, 'trace_an': 0}
  • id: 32175178
    {'hecke_orbit_code': 9009535750505204, 'n': 22, 'trace_an': -14}
  • id: 32175179
    {'hecke_orbit_code': 9009535750505204, 'n': 23, 'trace_an': 0}
  • id: 32175180
    {'hecke_orbit_code': 9009535750505204, 'n': 24, 'trace_an': 0}
  • id: 32175181
    {'hecke_orbit_code': 9009535750505204, 'n': 25, 'trace_an': 32}
  • id: 32175182
    {'hecke_orbit_code': 9009535750505204, 'n': 26, 'trace_an': 0}
  • id: 32175183
    {'hecke_orbit_code': 9009535750505204, 'n': 27, 'trace_an': 0}
  • id: 32175184
    {'hecke_orbit_code': 9009535750505204, 'n': 28, 'trace_an': 28}
  • id: 32175185
    {'hecke_orbit_code': 9009535750505204, 'n': 29, 'trace_an': -8}
  • id: 32175186
    {'hecke_orbit_code': 9009535750505204, 'n': 30, 'trace_an': 0}
  • id: 32175187
    {'hecke_orbit_code': 9009535750505204, 'n': 31, 'trace_an': 0}
  • id: 32175188
    {'hecke_orbit_code': 9009535750505204, 'n': 32, 'trace_an': 16}
  • id: 32175189
    {'hecke_orbit_code': 9009535750505204, 'n': 33, 'trace_an': 0}
  • id: 32175190
    {'hecke_orbit_code': 9009535750505204, 'n': 34, 'trace_an': 0}
  • id: 32175191
    {'hecke_orbit_code': 9009535750505204, 'n': 35, 'trace_an': 0}
  • id: 32175192
    {'hecke_orbit_code': 9009535750505204, 'n': 36, 'trace_an': 0}
  • id: 32175193
    {'hecke_orbit_code': 9009535750505204, 'n': 37, 'trace_an': -16}
  • id: 32175194
    {'hecke_orbit_code': 9009535750505204, 'n': 38, 'trace_an': 0}
  • id: 32175195
    {'hecke_orbit_code': 9009535750505204, 'n': 39, 'trace_an': 0}
  • id: 32175196
    {'hecke_orbit_code': 9009535750505204, 'n': 40, 'trace_an': 0}
  • id: 32175197
    {'hecke_orbit_code': 9009535750505204, 'n': 41, 'trace_an': 0}
  • id: 32175198
    {'hecke_orbit_code': 9009535750505204, 'n': 42, 'trace_an': 0}
  • id: 32175199
    {'hecke_orbit_code': 9009535750505204, 'n': 43, 'trace_an': 0}
  • id: 32175200
    {'hecke_orbit_code': 9009535750505204, 'n': 44, 'trace_an': 84}
  • id: 32175201
    {'hecke_orbit_code': 9009535750505204, 'n': 45, 'trace_an': 0}
  • id: 32175202
    {'hecke_orbit_code': 9009535750505204, 'n': 46, 'trace_an': 24}
  • id: 32175203
    {'hecke_orbit_code': 9009535750505204, 'n': 47, 'trace_an': 0}
  • id: 32175204
    {'hecke_orbit_code': 9009535750505204, 'n': 48, 'trace_an': 0}
  • id: 32175205
    {'hecke_orbit_code': 9009535750505204, 'n': 49, 'trace_an': -24}
  • id: 32175206
    {'hecke_orbit_code': 9009535750505204, 'n': 50, 'trace_an': 12}
  • id: 32175207
    {'hecke_orbit_code': 9009535750505204, 'n': 51, 'trace_an': 0}
  • id: 32175208
    {'hecke_orbit_code': 9009535750505204, 'n': 52, 'trace_an': 0}
  • id: 32175209
    {'hecke_orbit_code': 9009535750505204, 'n': 53, 'trace_an': 48}
  • id: 32175210
    {'hecke_orbit_code': 9009535750505204, 'n': 54, 'trace_an': 0}
  • id: 32175211
    {'hecke_orbit_code': 9009535750505204, 'n': 55, 'trace_an': 0}
  • id: 32175212
    {'hecke_orbit_code': 9009535750505204, 'n': 56, 'trace_an': -32}
  • id: 32175213
    {'hecke_orbit_code': 9009535750505204, 'n': 57, 'trace_an': 0}
  • id: 32175214
    {'hecke_orbit_code': 9009535750505204, 'n': 58, 'trace_an': -14}
  • id: 32175215
    {'hecke_orbit_code': 9009535750505204, 'n': 59, 'trace_an': 0}
  • id: 32175216
    {'hecke_orbit_code': 9009535750505204, 'n': 60, 'trace_an': 0}
  • id: 32175217
    {'hecke_orbit_code': 9009535750505204, 'n': 61, 'trace_an': 0}
  • id: 32175218
    {'hecke_orbit_code': 9009535750505204, 'n': 62, 'trace_an': 0}
  • id: 32175219
    {'hecke_orbit_code': 9009535750505204, 'n': 63, 'trace_an': 0}
  • id: 32175220
    {'hecke_orbit_code': 9009535750505204, 'n': 64, 'trace_an': -8}
  • id: 32175221
    {'hecke_orbit_code': 9009535750505204, 'n': 65, 'trace_an': 40}
  • id: 32175222
    {'hecke_orbit_code': 9009535750505204, 'n': 66, 'trace_an': 0}
  • id: 32175223
    {'hecke_orbit_code': 9009535750505204, 'n': 67, 'trace_an': 0}
  • id: 32175224
    {'hecke_orbit_code': 9009535750505204, 'n': 68, 'trace_an': 0}
  • id: 32175225
    {'hecke_orbit_code': 9009535750505204, 'n': 69, 'trace_an': 0}
  • id: 32175226
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  • id: 32175227
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  • id: 32175228
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  • id: 32175229
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  • id: 32175230
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  • id: 32175231
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  • id: 32175232
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  • id: 32175233
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  • id: 32175234
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  • id: 32175235
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  • id: 32175236
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  • id: 32175237
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  • id: 32175238
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  • id: 32175240
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  • id: 32175241
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  • id: 32175242
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  • id: 32175243
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  • id: 32175244
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  • id: 32175248
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  • id: 32175250
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  • id: 32175260
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  • id: 32175262
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  • id: 32175269
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  • id: 32175270
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  • id: 32175272
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  • id: 32175280
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  • id: 32175281
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  • id: 32175298
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  • id: 32175299
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  • id: 32175300
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  • id: 32175304
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  • id: 32175305
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  • id: 32175311
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  • id: 32175312
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  • id: 32175313
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  • id: 32175314
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  • id: 32175315
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  • id: 32175316
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  • id: 32175317
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  • id: 32175318
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  • id: 32175319
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  • id: 32175320
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  • id: 32175321
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  • id: 32175322
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  • id: 32175323
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  • id: 32175324
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  • id: 32175325
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  • id: 32175328
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  • id: 32175329
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  • id: 32175330
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  • id: 32175331
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  • id: 32175332
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  • id: 32175333
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  • id: 32175334
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  • id: 32175335
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  • id: 32175336
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  • id: 32175337
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  • id: 32175338
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  • id: 32175339
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  • id: 32175340
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  • id: 32175341
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  • id: 32175342
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  • id: 32175343
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  • id: 32175344
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  • id: 32175345
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  • id: 32175346
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  • id: 32175347
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  • id: 32175348
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  • id: 32175349
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  • id: 32175350
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  • id: 32175351
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  • id: 32175355
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  • id: 32175356
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  • id: 32175357
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  • id: 32175358
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  • id: 32175359
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  • id: 32175360
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  • id: 32175361
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  • id: 32175362
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  • id: 32175363
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  • id: 32175364
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  • id: 32175365
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  • id: 32175366
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  • id: 32175367
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  • id: 32175368
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  • id: 32175369
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  • id: 32175370
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  • id: 32175371
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  • id: 32175372
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  • id: 32175373
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  • id: 32175374
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  • id: 32175375
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  • id: 32175376
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  • id: 32175377
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  • id: 32175378
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  • id: 32175379
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  • id: 32175380
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  • id: 32175381
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  • id: 32175387
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  • id: 32175391
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  • id: 32175392
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  • id: 32175400
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  • id: 32175403
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  • id: 32175412
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