Embedded newform data - 76.8.f.a.31.16

Formats: - HTML - YAML - JSON - 2024-05-21T10:40:25.978756

• 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_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': 4864, 'analytic_conductor': 23.741261936793254, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 76, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 6, 'char_parity': 1, 'char_values': [76, 6, [39, 21], [3, 1]], 'cm_discs': [], 'conrey_index': 27, 'dim': 136, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 343731601484, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0], [1, 1, 19, 4, -1, 6, 0], [1, 1, 76, 6, 1, 6, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '76.8.f.a', 'level': 76, '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, 19], 'level_radical': 38, 'minimal_twist': '76.8.f.a', 'prim_orbit_index': 6, 'related_objects': [], 'relative_dim': 68, 'rm_discs': [], 'sato_tate_group': '7.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '76.8.f', 'trace_display': [-3, 0, -2, 0], 'traces': [136, -3, 0, -27, -2, 309, 0, 0, -45540, -19464, 0, 0, -10602, 13602, 0, 6525, -23974, 0, 0, -91316, 54264, 381, 0, -51631, -937502, 172188, 0, -165428, -6, -454352, 0, 573507, -182106, -629706, 0, -277130, 0, -759906, 0, -627504, -1873020, 332080, 0, -358069, 321240, 0, 0, -7221687, -15750664, 0, 0, 2848050, -1027650, 4352085, 0, 0, -137426, 10387724, 0, 1607094, 5318582, 3394376, 0, -1319538, 0, 2439607, 0, -87756, 0, -17825238, 0, 26155014, 299212, 1895842, 0, 29672379, 907280, 7456734, 0, 5489562, -11065208, 1288975, 0, 0, 6118214, 16831518, 0, 0, -17728542, 52167894, 0, 10184840, -3299132, 0, 0, -68841730, -9435888, -35100021, 0, -24083901, -19719342, 124214848, 0, 57561650, 24887388, 27822608, 0, 132828849, 1841826, -26982030, 0, 25110148, 0, -89125517, 0, 42390456, -15254376, -106643497, 0, -9145920, -144417492, 0, 0, 45187314, 93750300, 0, 0, -180469803, -39471318, -62062652, 0, 0, 45401612, 42421374, 0, -62669610, -85499804, 44478148, 0, -426987404, 0, -193295810, 0, -273432580, 0, -30910131, 0, 240478056, -74355702, -145659631, 0, 144508273, 26997376, -120690690, 0, 81837154, 24952526, -4311860, 0, 0, -66359972, -111559941, 0, 0, 180823152, 30996561, 0, -152728236, 317547570, 0, 0, -16621620, 141538410, 74657754, 0, -98290505, -170290324, 741298648, 0, 387297198, 580497522, 600356088, 0, -301615686, 499552308, -944756010, 0, -40754250, 0, -622348830, 0, 379934079, 538412550, 585213773, 0, 390851523, 318665808, 0, 0, -485151663, 251250624, 0, 0, 602093544, -831732030, 998242198, 0, 0, 340397790, 253491416, 0, -1131208596, 336407810, -535291768, 0, -124375410, 0, -434939916, 0, -2179228864, 0, 1061037882, 0, 2157110430, -812017732, -542277289, 0, 1291520697, 290114920, -286764390, 0, -1089111866, 87284684, -1249903976, 0, 0, -15245498, 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-3021885896, 0, 0, 718925043, 4747443428, 0, 0, 2597847240, -3256306704, 3502785917, 0, 0, 3376406242, 3194532232, 0, -6343233216, 735535574, -558071356, 0, -12093010224, 0, -6618164168, 0, -14717585176, 0, -4472427780, 0, 13929491424, -2712103778, -1138179882, 0, 12956245974, 2588758172, -5211256140, 0, 1853174829, 2118856696, -1392211600, 0, 0, 4930032198, -2902606728, 0, 0, 2894739936, 3099170634, 0, -4471475064, 5034764382, 0, 0, -13316894454, -1257414996, -469253073, 0, 230953366, 2556446038, 12063208572, 0, 6562797960, -1005290172, 5996414932, 0, -1869613926, -11841550980, -19009617918, 0, -1510787282, 0, -14351037756, 0, 7389546216, -5338031574, 1800079338, 0, 1140097668, 7967144504, 0, 0, -9590833332, -8331380480, 0, 0, -2011660941, 14781411270, 5006001728, 0, 0, -10068781030, 13827434174, 0, -10961963730, -216387756, 1384663180, 0, -11870266776, 0, -8718138458, 0, -15173004840, 0, -3581428482, 0, 14919851205, 10097509604, -2448919107, 0, 9338375614, -10725618932, 9157960338, 0, 1354662450, -6506542998, -4131410374, 0, 0, -13774460428, -3945246081, 0, 0, 4588039740, -6152239470, 0, 925054003, -17705006888, 0, 0, 4811363404, -3703933632, -2624242758, 0, 1151709844, -3310690388, 4566414074, 0, -1537211968, -1664401698, 8900700416, 0, 12783177324, 24377729190, -11380541754, 0, 7490528099, 0, 4475407478, 0, 777207438, 4106837676, -7451635467, 0, 4434102754, -25966202804, 0, 0, 20478977970, 14897939500, 0, 0, -19617960744, -26750646042, -7830950986, 0, 0, 29149148846, -2180312490, 0, 6283360818, 6158608048, 2266047974, 0, 11815396264, 0, 1910658162, 0, 34766461086, 0, 29109942036, 0, -14586003687, -15482110106, 2711979408, 0, -24642783860, 15432710820, -1507213614, 0, -5724039047, -1712698794, 6805648734, 0, 0, 21024982626, 27647388990, 0, 0, -10689058590, 13841704848, 0, 7985580545, 32990776948, 0, 0, 22203497928, 15271987764, 15504442524, 0, 1564382705, 9179193042, -32945202836, 0, -2813762910, -26615602440, -10428696022, 0, -35843283612, -5689391448, 36341865579, 0, -10410881558, 0, 41114230626, 0, -30557487198, -19711996692, -7905715072, 0, 3765526518, 18888929012, 0, 0, 15610667544, -44867390120, 0, 0, 32414305107, -6984472680, -16496454842, 0, 0, -22116077744, -30921424196, 0, 42540250020, -156000132, -22440326495, 0, 33083759860, 0, 32619386712, 0, 62769614126, 0, -2325683052, 0, -31311518604, 18016156674, 13975044716, 0, -65088889955, -13224334280, 19695939084, 0, -6449604648, 8460854406, -2819545319, 0, 0, -37492055944, 11734143870, 0, 0, -1482449034, -18627826212, 0, 10937541514, -32908762144, 0, 0, -32592013396, -13678722432, -53019843168, 0, 17980838912, -43696183270, -68196971192, 0, -59147176688, -17014764750, -71125785912, 0, -6718424556, -3685658640, 42133394988, 0, -19243883488, 0, 40155833576, 0, -60739323687, 60251802366, -20092734254, 0, -15766802441, 65825869136, 0, 0, -57366672147, -66496377704, 0, 0, 29100988218, 36033735738, -11473388861, 0, 0, 26590694524, -91956068, 0, 8358464766, 49338765022, -25449874934, 0, 70888328832, 0, 33855164935, 0, 83298744622, 0, 8725062081, 0, -71934119382, 31664907398, 24422199244, 0, -38211708276, 45434188228, 113584746414, 0, 22232316250, -13725827254, 28488467428, 0, 0, 59038045740, 4946172951, 0, 0, -45322798878, -45749410890, 0, 35999201830, 20821477442, 0, 0, 17844090554, 24935375082, -104810788203, 0, 26489097125, 44054941330, -79505548432, 0, -57421257472, 19689273900, -127490809260, 0, 39354818745, 3286830300, 38337644142, 0, -32249612890, 0, 72946774827, 0, -61826203038, -172121093820, -65201507046, 0, 4959642508, -41185269216, 0, 0, -46472013402, 68455098344, 0, 0, -45059289246, 114144299886, -72931650046, 0, 0, -4855968068, -4066397904, 0, 179236608498, 19537268418, -3538919174, 0, 12047419840, 0, 74064559570, 0, 95302051668, 0, -4592012076, 0, -59016395772, -51884715654, 3182705146, 0, -80820653398, -1254856844, 73631947980, 0, 83669304796, 51680114176, 31365124346, 0, 0, 9188239782, 124526981892, 0, 0, 89851498770, 111227743224, 0, 40189320445, 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-51561197440, 0, 320795588838, 0, 553453259535, 161362274368, -68682469826, 0, 57189428348, -78542979364, 376304028726, 0, 53034688836, -113256037862, -174895351692, 0, 0, 114222569406, 27059479605, 0, 0], 'weight': 8, '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], [-0.7150167962988698, -0.6991072743224036], [0.9200000201229482, 1.593486777817336], [0.02249803797899907, 0.9997468871104803], [-0.10593391508750358, -0.18348292317624346], [0.456202730925461, -1.7825485172642714], [0.0, -1.8015713710863217], [0.6828438462213614, -0.7305643583406035], [-1.1928000740524505, 2.0659903315307635], [-0.05252971772118721, 0.20525254254015482], [0.0, 0.6039759426105106], [-1.5723852503811853, 0.9556174823058641], [-0.9261251857575804, -0.5346986253004312], [-1.2594916507374339, 1.288153790057904], [0.19491840802441196, -0.3376085860287227], [-0.9989876765741911, 0.04498468687119537], [0.06361843094315503, 0.11019035469135653], [2.297220957026949, -0.6433225794531967], [-0.9996998121790351, -0.024500725075021195], [0.18105317603847806, -0.11003510762227454], [2.8707801591203026, -1.6574456976523435], [0.42224397499473854, -0.43185294352695736], [-1.0124900049311243, -0.5845613768987901], [1.7923609976248418, 0.41598341589320964], [0.47755601126846714, -0.8271512749769204], [0.2883833647743602, 1.029779352344036], [-2.549504328277738, 0.0], [1.80111537015091, -0.04053182112857749], [-1.022447694018969, -0.5903104513741639], [-0.375394554011672, 0.10512693263603991], [0.39394865789998706, 0.0], [0.7457420898708979, 0.6662347449623036], [-0.9624276786696108, 0.5556578793554464], [0.03154663184635754, -0.12326406224778706], [-0.3305575814775511, 0.1908475086487358], [-2.092303064115615, -1.1460174320360639], [0.0, -0.8582677087310363], [0.697673521838715, 0.7164158407832452], [0.0, -1.9676909841444379], [-0.20638240606034858, -0.04789864227519462], [1.239538076036452, -0.7156476418704364], [-3.211388376275683, -0.821881779446707], [-0.3643954072783174, 0.21038378648359984], [-0.6038230685144761, 0.01358827369525303], [0.5054319270441611, 0.0], [0.31527624873261495, 1.1258103305763043], [0.02093161661507957, 0.012084874487290233], [-0.990751186284336, -1.5504877409967104], [-2.245659405117849, 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[1.3950120325434263, -0.39066452724057915], [-0.013836305696207711, -0.023965184454886424], [1.3701712477473909, 1.169739354285478], [-1.1502361510028078, 1.9922674542393306], [0.6543913510300771, -0.6692832767227588], [-0.4027918968317095, -0.23255201006318746], [-1.9471216857182514, 1.183363633434074], [0.0, 0.1744105656048881], [0.21433294371308817, -0.8374760717490675], [-0.6973994035261035, 1.207931200075441], [-0.5422951621829757, -0.5068724063864303], [0.0, -0.184947491288279], [-0.8448393173535077, 3.3010917523882917], [0.41571685271748066, 0.7200427104693043], [0.03351101025478099, 1.4891311063399315], [-0.0037550718821242352, -0.006503975285912466], [-0.2918581314509388, -0.2853641254634372], [-1.148753310737779, 0.0], [0.952465700970256, 1.5742964258932115], [0.32271210737798384, 0.0], [-1.1999465636373166, -1.173247084235446], [-0.10420733440398786, -0.18049239770902722], [-0.022105070531996673, -0.982284565185203], [-0.23431078703891273, -0.405838187912848], [-0.08042827443487288, 0.3142622602218297], [0.0, -0.4560214366565381], [0.18096042704976925, 0.16914008000772854], [-1.0954256139474317, 1.8973328192692822], [-0.43055226814205394, 1.6823229129393045], [0.0, 0.45845250079413347], [-1.7109214589357773, 1.0398128935735833], [-0.7099172295483969, -0.4098709035821203], [0.46655864528145236, -0.4771760788185443], [1.1783571604881797, -2.040974471428121], [-0.3691969471015379, -1.1214095283424255], [-0.12001130954382457, -0.20786568561277985], [-0.14788618073586238, 0.041414614021110276], [2.2449852855143972, 0.05502028369692806], [1.1222034603491982, -0.6820194002416733], [-0.42094671997647737, 0.2430337020929092], [0.0012613178661463314, -0.0012900215644882117], [0.014100296339426407, 0.00814080988722133], [0.5767596911797079, -2.4851028574130516], [0.11571756823613549, -0.20042870751330516], [-0.6999542961305709, -2.4994454250290725], [0.5133643215974544, 0.0], [0.005119496132590594, -0.00011520777899819944], [-0.3229072495031335, 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[0.21341558596437726, -0.2182722654465233], [-0.10627364841981311, -0.18407135856882825], [0.2937840954441717, 0.2624622836242397], [1.328017573742359, 2.300193911066114], [0.7482216689451107, 0.19149031030820476], [0.0, 0.040998135394668865], [0.5105987007185175, 0.8401456448204907], [0.4223386999421961, -0.7315120863024704], [-0.7738446074553993, -0.1980479183674057], [0.0, 2.188157238230794], [-0.2828512257090359, 0.30261827116032475]], 'angles': [None, 0.10257245798946224, -0.10022493350284702, -0.3214957359883313, 0.04882512357011009, -0.256454097869684, -0.07320130315419664, None, -0.26603335928540084, -0.2671640051864819, -0.2184442179760759, -0.4294094307834182, -0.20639916408035547, -0.3670690112621012, -0.16474325233618345, -0.04648526965160381, -0.47977568110894775, -0.3735992581059441, 0.21134787864194274, -0.11771513370201833, 0.03781933756786429, -0.09526891600454736, -0.45695797945214267, -0.27141953216259795, -0.4646068899346043, -0.41691718580708964, 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-0.3805295392943353, -0.11693560172775372, -0.10027931069823569, -0.3472713119950208], 'char_orbit_index': 6, 'conrey_index': 31, 'dual_conrey_index': 27, 'dual_embedding_index': 16, 'dual_embedding_m': 16, 'embedding_index': 16, 'embedding_m': 84, 'hecke_orbit': 1, 'hecke_orbit_code': 343731601484, 'label': '76.8.f.a.31.16', 'level': 76, 'weight': 8}
• mf_newspaces •

  Column	Type
  ALdims	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': 4864, 'analytic_conductor': 23.741261936793254, 'char_conductor': 76, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 6, 'char_parity': 1, 'char_values': [76, 6, [39, 21], [3, 1]], 'conrey_index': 27, 'cusp_dim': 136, 'dim': 136, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_orbit_code': 343731601484, 'hecke_orbit_dims': [136], 'label': '76.8.f', 'level': 76, '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, 19], 'level_radical': 38, 'mf_dim': 144, 'mf_new_dim': 144, 'num_forms': 1, 'prim_orbit_index': 6, 'relative_dim': 68, 'sturm_bound': 80, 'trace_bound': 0, 'trace_display': [-3, 0, -2, 0], 'traces': [136, -3, 0, -27, -2, 309, 0, 0, -45540, -19464, 0, 0, -10602, 13602, 0, 6525, -23974, 0, 0, -91316, 54264, 381, 0, -51631, -937502, 172188, 0, -165428, -6, -454352, 0, 573507, -182106, 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• 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: 3720363
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 136, 'source_embedding_index': 16, 'source_hecke_orbit_code': 343731601484, 'source_is_minimal': True, 'source_label': '76.8.f.a.31.16', 'source_level': 76, 'target_conrey_index': 31, 'target_dim': 136, 'target_embedding_index': 16, 'target_hecke_orbit_code': 343731601484, 'target_is_minimal': True, 'target_label': '76.8.f.a.31.16', 'target_level': 76, 'twist_class_label': '76.8.f.a.27.16', 'twist_class_level': 76, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 3720364
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 136, 'source_embedding_index': 16, 'source_hecke_orbit_code': 343731601484, 'source_is_minimal': True, 'source_label': '76.8.f.a.31.16', 'source_level': 76, 'target_conrey_index': 31, 'target_dim': 136, 'target_embedding_index': 40, 'target_hecke_orbit_code': 343731601484, 'target_is_minimal': True, 'target_label': '76.8.f.a.31.40', 'target_level': 76, 'twist_class_label': '76.8.f.a.27.16', 'twist_class_level': 76, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 3720365
    {'conductor': 19, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 31, 'source_dim': 136, 'source_embedding_index': 16, 'source_hecke_orbit_code': 343731601484, 'source_is_minimal': True, 'source_label': '76.8.f.a.31.16', 'source_level': 76, 'target_conrey_index': 27, 'target_dim': 136, 'target_embedding_index': 40, 'target_hecke_orbit_code': 343731601484, 'target_is_minimal': True, 'target_label': '76.8.f.a.27.40', 'target_level': 76, 'twist_class_label': '76.8.f.a.27.16', 'twist_class_level': 76, 'twisting_char_label': '19.8', 'twisting_conrey_index': 8, 'weight': 8}
  • id: 3720366
    {'conductor': 76, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 31, 'source_dim': 136, 'source_embedding_index': 16, 'source_hecke_orbit_code': 343731601484, 'source_is_minimal': True, 'source_label': '76.8.f.a.31.16', 'source_level': 76, 'target_conrey_index': 27, 'target_dim': 136, 'target_embedding_index': 16, 'target_hecke_orbit_code': 343731601484, 'target_is_minimal': True, 'target_label': '76.8.f.a.27.16', 'target_level': 76, 'twist_class_label': '76.8.f.a.27.16', 'twist_class_level': 76, 'twisting_char_label': '76.27', 'twisting_conrey_index': 27, 'weight': 8}
• hecke_orbit_code 343731601484 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': 6, 'hecke_orbit': 1, 'label': '76.8.f.a', 'level': 76, 'portrait': 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TB2We0L5sY0y23NmUuKiusxNwmbZkLWTQ2ZnQqYmwrYtM6wZU5xzWaXqqpz8kyTb+73eO5IzL7TEYnq8h2va/Oe1xiqaoojp8c5ecHh/ELCfAruY0uG265d5F98cJXN02NcWBhnYbXCcttltS1pdRPaXc1KV3Dw+DInLnSuOXZ2/vWubG1zROtL3/v3PxB+7GN/9GpD4i/0+BvN4J1Oj0bjIlrXf+nIkbOv+fSffVLede2p11y/9aLTaq9jtdtguVVjue2x3HZYbsNKO2GlHbHcSphvwfFlwcx0i3/9fcvcfnWNs5cmubBQ58KSw6Vlw/xSzLnFhIVuzPjkkNde3+POPeDJKr7yubRS4eKSw/yKoB9AHGsqnqZeSZgYi9HA6fmYTg+2rnOpVwOMESA8egPNlrmA5ZYDxkqRVg+CGAyGlXbIxlmX7kAhlEHogGbFZcv6Ia2+4PQFh0Q7TDUljYrAdyGOBf1AMr8iubhsuLQa4/tDcGPu2tvjNdcKZppVllebnL3kc2EJLi3FXFqJOb8Cx5cNt+5d4t983ypz403OzE8yv1xlcdVjqS1ZaSWsdiJWOwkrXcNiV3ChK2i1VnnnPfX4LXdMPn73He/Vzakdj8+vhD9z81Vj1Bv1Vxsqr/j4G8vgH/ndT3P3nTfy4z/xr3/x6ace/F//6LNfuepTX+9te3h/V962u8eODZo419WWvTESkIBACIMjDJ6EC8tVnjomuX7nCns2D6lVwHUknqvwPId6VVJzJf2ey+FTFR56zuP0QkAnjjh8NmDd1ArvfO0q11/V5dY9bU4txSz1BTV/yIkLhnanznU7JK1hwsFTikbN4eXTsGuDYRgmDBMPx4mYaMChsz7KSXBljOPCIJDcvqfPoC+5/qqEziDh9IUG2+cU9VpIKzDMjvdZ7XX4xNfghZMJ+04O2bphmRt2d5iYDHnHXV3e+wbDzrkGSTTOyfNjHD/ncnZec24h4txCwvEFwZlWxI1XL/Kvv6/LuvFxzs5Pcmm5xmLLY7ktWW0ntLsRrV5Cq2dY7cGlvmKlE3PL1Uv81AfOy6vm4m0vHTy2fbWt73jdLbuq9eb4V/Y9/Rn+62/+8asNmSs+/kYy+Fce+j3edI9Qf/RJ8S+fOXD+55bmz6mXToRcaCvm+5rrty3wqz+6yE07a1xanmC5XWOlXWGl7bLScVjtwmo7YbUTs9KNWWrD2VWBUx1y97UrfM8bQrbP1mn1miysVFlc8VhqC1baViKsdjWdgaYTGPrDmKlmxJZ1GhD4ruHcgouQPltnFds3GDbM9rm0GvDi0Qa37DLUqqvsPzZJox4Shi5TE5rBEK7ZMuQPvzbO7s0xQWCYHpNEyYBGxeflU0Oqbp2bro7ZdyLk0rLHximf7ethy1yIUhHnlsBzDUIYtq6LmWhIugOfXt+l03dZ6ShWWrDc1qy0E5baCfNtWB4mbNnY43vuWeLuPQ4Vt8nFpSZLqxWWWg7LHUGrrWl1I1a7FtzLPZjvKi61Ym7fPc+HfnSZXZtqrLbHuLDoc2q+xs4dG5JedNUvHlpV/2ZzI06+613/4NWGzmWPv1EAX7r0HI5bqYa9c1se/eaB9/fa8//2sWcWOXLGIYgNrYFgoa+40I25dcc8//5HV7hhR5WF1QmWWzVWOxVWOi6rHYfVDrS7mlY3ZrUbs9IxXGoLLvQMiB7veV2bd9yu2bG+QhjWWG1XaPU82l3Fak/Q7QuGgSGMDUkCShp8F6q+YbxpmJ2McNwhxy+GvHTMR8d13nZHiOO2ePbgGNvWwxefinnddT4L7QEVRxEnEZMTEEcujhuzvFzjtTd3+OITDbavh2eOBrjUeOvtmlgMeOl4wslzFRzpsW7CYaIuqPoCzxMoAbGGMDIMQ+j2Da2eptvXtPqa5Z5hkCRs3dTnHXe2ec9rQtANlltjLKxUWc7IoI3V3L2YVgrulT5c7CgWOwm3Xn2JD/3oAnu3VllcHafVrdHp+QwDhxePaXrJLFu3zP68P3njn9y4d/OZXn8weO3Ne19tKOWPvzEAby8doTm1wTvw8ks/cOrUgV8/emifOHwilINA0OpBd6DpDqA1kCwMJBe7EbdftcCv/NAyN19VYak1znKrzmrHp9X1WO06tLqCdtfQ7iW0ujHtnma1Z1joCi62NRPjfb7t1i537YnZuk7RrLp0uhV8VwKKMJZoLdAG+kNAaCYaQ46eN2gT8uAzdYJ+las2etx9fZ9It3jkuXFu2uVydL5He7XJndf3+cqzPusmDQdPG37i3R0OnvJZNyl56DnF3dcoVvodTpyd5KarQx55aUAc1Lhrr8fOzUMGcY8vP6sgERw/59CsOTgC+gOJNoJEG6IYkBrH07R7hnojYvP6gNdc0+fbbomZqle4tDLGcqvKaseem9WOoN2Ddjem3Ytp9xLafcNKXzLfFSx1Y+7Yvcgv/tAiN2yvsNgay8Hd6Xt0eg6rXUlvEHNh1dU33nSD2XPVnh9vNvd8dDC4FN5x29WvNqSAvyEAT5JEdrqDd37uzz531dZ1/Q999osvuBVPkSQurW7MMEjoDTW9oaE7ELQHgoWB5EI75q5rFvilH1rklp0erc4Yi6sN2r0Kra5Hq+fQ7irafej2DJ1+TKeX0Bto2n3DYk+w2IMoCbhh14C5yYRe3/D2OwO2zWniROJIQxjBwy9WOLNQYf1EzP7jFdA19mxS3Lxb41f6PHu0z+JSnWu31WmOr/LEPpfbdlVY7rdYXW0yN2d46qDiH9zb4+mDDptmXZZ6bVZXJrn5mj5P7E+YrI5z7VU9FtptnjowTtWpc+tuw9VbhiB7vHhSMDsZcWkx4pEXXYaRQkpItGHb+pBvuzOk21NsmNDcvAvCsMZKu8ZK26fVc+n0Fe2epNODTj+h00vo9hM6fU2rb1gZSM53BO1BwN1XL/JvfnCVW3fZm6PdrdLp+3T7Lp2+Q3egGASS1Y4gjAI8J2J6y+3RNVv9f/6a137nMcetfcHzlX61sfWqZzJPnu9x5mL3+3TniV+9dP7o5MLZc+ze0mR+2SEShnpVkWWLBdYCFMIgpUFKh6ePrONnPuLw7rtX+MC9K2zfGDK/3MT3qlR9j5rvUq86dKuSxsBlrO7QHyb0BgnrAs0gMHSHPiuLFc6dNYSx5vx8jO8bQOApgyMF/YFC4BL3HW7cJti5wbBlY58g6fLA04pDxyZ4yy0+N1+zysceMHiixraNffY9odg4rphu9qmoKmHkstCFesVh0zrBC4dCbr66yhtuWuJ37xvguQ3efIfB9ft89amQLz5Z58DJKjs21Ni2PmFmImT7dMR12xKU0jjKAIaa7zMz7hNGLt2+x/6jLr2hQ3+g6A0lvQH0hoZe33737iChNzB0BobWABb7ikurhtpYm5982yJ/7+6AG3bUubjUpN2r0u17dPvW8ekNFP2hpDcQRLEhTlzOLRgudZ52o87cry4Pn1z5e2+/5X8xpvW7Qry6NS2vKsCN6QP84Ofuf+aXDh+4b3LDeMCFpQZSSsYb0BsKykaPEFhwC42SBiUTPCnZd3SG54/UOXphgXe/psdr9g4ZbzRZadeodyo0Bx69lHV6Q8lg6NAPHIaBYRhqwsgQRYY4sc8w9jAapBK4jqDiCcYbgokGzE1rNq3rMz3R5kvPwqPPu0g9xltucblxT5fHDkSEwyZ33yhoDwYsLNe562rN9HifquMzjBWLnQilBTde7VBrBDx3uMLrbx7jzhu6PHdYgRnjlr0e/+Q7VvjKCyEPPV3n4JkKW2YUc5NVJho1xhpQ9cF1DEqCNnDwpCBJBFEsCGMIIux3DBIGgWYYaPpDTT/Q9AbQCWCxJ1noQqCHvOmmFd75mjZ//82aOG4yv1Sn06vQHXj0Bi69gaI7UPSHgv5QMAgMg6FmMEwQxqASyVefPM/Nvc9N7tqk/8+5rfc45y8FH9m4zv8fD+Bnzq1w/qL+J+fPPvRLrQuPzw56mpmtiopv6A40xoBBIhAIoRBCICUpuEEpg6MMrtJUXcFSv8rHv7aJrz7f4XXXtfjgm1pct73H1HiN5VaN7sCnP3BTYCv7DAVBJIliQRzbpd4Ye3xKGhwHKh7UqprJRsTG2T4xPY6ej/jEIxVOnK0z7le5ba/DXdd3eOpImwe/2eSOXRW2rO/zh18TKOHTbES0egHagBIw0+zT6XrouMo7X7fAx79YY+elCu+4o08YLfPIS1NESYXb987yjts67Nrc5qvP9dl3tsaLJz02TUomm4KaL/BcexPK9ObXBrQ2KbMawsgQRPZGHoYwCKE7FKwGgpUuCGfITbtbfPDbWrxub8JUs8pqp0a7W6Xb9+kNXXqDYiXoB5LBEPrpjTMcagZhQhAZli8aeoGisxrwW3/w0Ow7viP6pe/8tnuMSVZ+W6jJ/zEA/mP/8qP86o9vYP+pR7///MX+h+77+jPT33nXWbbcOE6SSKp+jDGOlSUChJAIIRBCoqSDlAlKiXR51rjK4DuGqiNYHSqW2xN88uE6T+7vcfcNLT745hY37WwzlVSJY5/+sEJv4DIIHMJIEcWSOJEkWqCNsFlQYfA9Ta0S43shnhtwfjngvmckx855nDw3gdI+O9d7XLNdccueDspf5KXjDTaO17h2B8zNrLLSaXLdRkmsDV962ifoS8brMW+9fcgXHok4M99g91UuF1tDXj7hsnndBDdsX+SxfV2eeFkQhB57tk+yZ7PPnk1djl9c4dh5ePpQjaMn6tQcge9I6r6h4oKUNqgyxt6scQJhDGEi6AWCzlDQiSDUMdoMuXVXhw9+W4fXXZewftJnOBxjuV2h2/PpDT36A4feUNEfKgaBYDCUDALbNzoMEuvxB5phYBiEmmFkHaenDrjgLfH68w/O/sknWh8aJNX4X/2fD37sn373QWZ2/OTfXYB//Suf5I1vfgRHqb9fFcf+002bz42/5WbFljnADOj2faS0f9eyNpatpUApgaNU+qpxVILrCDxH47kG3zXUvITxiqAbuKx2JvjUo02+9uKQdRN93n9Pmz2bhwwHPa7dbtg8pwgilyRRJNomigQGKTWuk3D6kuHkvKA10Hz+sRrnlyYwoctERbFhymHrnMOOjXDtzg5aLvHhL9RZWRnjjj0O1+5s89UXBSJ2mZ2Q1Gsx/chDGglGohyP9lBwaUWw19S455Yujz9XZcO0xx3XTvKPv2OJj36xy9OH6/SGLsutBts3VNm9vs/tV3f5rtd3ubCywucf81nu+5y+6HL+vIerBFLaVU8bQ6Ih0oYk1kxMRVy/t08QROzZHPC+ewJmxxSTDZ8oqnBxsUJ/4NEP7Co3yIEtLbgDwTDArgRBwjDUBGFiJVBkGIaGQQjDSNAeQCQq/P4XAvzK16e/711T/+nHv2trNL39/j/63d/7BP/o+77n7x7Aj7z0X9h13Yti/9M3fvdTL1z4rd/69HxtZanNP31vzETdoT+MqFUEQmqEcJHCIKWVClJKlJQ4SuCo9NURuE6C5wg8V1NxDdXIUAsNY5WEiaqgH0q6YZ2T5+r8yh9Ngo4Rccwt1/fZPhcSx6CNxhibxJFCIJXAcT0On/E4eKxCveLQ8CTTNcHMlGR20mHDjGLr+oTdW1skYpn//Jkmp8+Mc8fVLnu2JQziLt98yWe86jI1ZhhvhNSqVgppLWkPFSs9w3I7od2r8tprWzxzsM+hM4rxZoXb947zQ+9c5tc+C88dq9MbGFpdh0srTeama8xODNk6NeR/++4+zVqbfSfh8FmJ6xqUMgihAWP/MxDHsG0u4e7rYpLIJYp9jKkxDF3mlzwGgV3RhqHK5dsgFAwDwTC0rB2ENisbBJog1Awjnf4sA7gFdz8UDGJBO5S8fCnmn713mRrB+O99duq3huJ7Ym8Pn/ylX/sd8zM/8Y//7gD8Y7//pzz0ze3q6f3PvWfMP/KxbTOnK+95Q40jF4cI1WG8WcVQSZ2RLIB0UcqgpEIpleptietYzem5isCVBKHGTzVgNdIEkSYMDc0YgkgTxBDGgmEkCRKfKKlw6FidFw9BYgwW2lYbuxI8ZWs+Gj5cux6aVRirSyYaiqlxh9lJ2DIXsH6mRWRW+M+fGeP4iTFu3qHYsUmyc9MqX3855tLyGLdsl0w0NRVvgC99jBLEiUQYQ5yErPYqXFp2uXlPlRuv7vLYcxXWTQhqlQY3X635yfcs858+q3n5fINWT9PqKhZXHabH60w0q0w0x2jWImbqEVtvDvHdGNeJUSpBChtMGOxNFUWKhUWHKFZEsSKMFEGUvoaSIJIEoWQYSoJQ2AA1FAShIQjteQ3ChDBMNX1kf54BexhBPxJ0Q0ErkrR7CeubbRwx4AuPT/D4/oO1N7+m+7G7wx36tW+96TOve+izyT3f9u6//QDXxghB+NqTB/5gx31faX34Y19frWzaBLftOU+9FXKhHbFrc8KYTugpXQK4QSkHJQ2uMriOwnUMbijxXGEvgisIPEUYWaBHkSGME+uKxKVnAnFiSBJNorF6W5ODO5NCjgTXBd8RVHxBzZfUa4qxmmRiTDA7GbN1rk+j3uIzj4c88tIkraUm129RbF3vsmvzkES0+NLTNequw8yEolEb8tJxOHDC4brNhn6guGFXxPU7DfMXExZXPQbDGm+7rcs39g04el5Rr0p8r8l1OzT/5vuXefjlAV94eJrljmHrbMJq22G8qRiruzRqLvWqoeJrfE/jOwmOskSRyT1jsAkrLYi1JE4EcSyIYkkYC6JIEkTWeQkjQRgZwhCCKCGMNGGJOIKo/LTgHqTg7oSSdgz9IEIkPTZOthmEPbrRPP/oOzzWNUXl4oWJ3/93hw/+o3P96p/+6L/9RPIbP//XK1f+2gH++HMnHJ0EH5k/fWZP3TnFppkaX3h8mj9+tE4wHPDS8TbH7+nw/jf1mGgmdGWCIxMcJ8FxXFwnwXUc3MjBdxRD1zJN4EpCTxBGwl6cSBHFEEbSOghxYfvFiSZJrLuQmNQpSd2SzJ1R0soezxH4nqTiS+pVQbNmGG9o1k0GzEx0iU2LT35D8tEvTjFbqXD9FsGW9S7bNmi2rl/lM980rKxU2DOnmGhCoxZx6ZRkYdXH2w5BJJgZk4yPw9GThtWOZn6pwq5tFe69pct9j1aYaoDveSg5znU7BT/8jgVcucCfPTbBgfMV1nUiZsdjxuqKRlVRq0qqvoPvge+C41iHSQryHIIxoLE3dqIhSQRxQgp0iBJDGEMUJZYUIk2YvUY6tR0zVya1IGPBIBL0IkEnlnQjTTgMGfM7fM/blnnfPT1ed62h2x8yGNZ54Js+Dz17oHLNta3f+pfftcmZarp//Bs/z19rMuivFeBf+8qXGCwd+uDnH3xudt/RM8xMxSy2AwRV0HVi4fOlp3y+ub/C/OoyP/FdfSaaMUM/ptuPcRwP13FxHRcvTAhdBy+00iSMbCrdMo6wTJSyUhxDlECSWCdBaxtwaW0wmQ9I5qtnAazAdSxAKj7UKppGNWa8ETMzPmB6osXjh0J+/8Eqh0+Os23MZeccbJrz2LQOdm/p0I87PHWwSVW5zEwoxhsw3giYGIvxPAch7M01CDxWOhGtvqHdi1lY9dgy1+DOPQs8+HSfw+eb1PwIV3kIMcbOjYp/+OYlbt29wO8/2OCp/eMs9xxmmzHjtZhaRVKtKHxX4LsS17WxilKk9qFFuQGMMXb1SoEeJzpd3VJrMdbEiQV3HEEYm+IZWVdmGFtS6UeCTizoxjAcxuh4wFS1w4+/d4X/7/f2qPkevV4VY2ogDJs3LPCue2C8OmweO+b/56Pedd6fff6+j37nu77jbx/AjbkAyB88c/DTv3Td5vmp1aUmL54MWR0IPAXj0iCkQ1/VaQUO//5PXA4eX+Wdr+9zz01d1k0HdDtVBo6H53r4nksQOvietfcygEeRJIztshvFqaedkFp/pMwt0YYC3DZJmTI3OMomTDzXUPE01UpMoxIz0QxYP93hUrvPr3/e5UvPTLKyWueqGcGWWcHGWY9Ns4LtG4Y4XouPP+Jw4mydq9dJJhqSsXqClAHnFw2+I5ECjBGEkcPW2Q5Pk9DpK1Y7hksrVa7eVOG77mnzp1/1OHXJx3UihHDRpk4US27ZvsrW7+3wpef6/OGXJnn2VJ2NE4LpekK9klDxBL4r8FwbqzgKGzhLkddkGOxNpg3WaUks4DOQx4mVdBbsECa21iXMkkexYBBDN5Z0YxiEmqQfsGm6yxtuXuVdr+/z9ts0jqix2qoSRB5B6JFoyVUbBOvGqrx4eIxv7Jufmtux8UM/9gPvUkfPLH1k15a/nlmKfy0AX1ru0O25//jhRx/6pef3vTh7684ldi5Mc2FJ4QpjI/BEoITAk4KurNAOHT7+9QoP7+ty854O3/vmPu+4o83UuM9g6DMIPHzXJYxdwsjJA6U4VkSJJI4lUSKIY0mSCBItCq2tBbkqMZa5pbDJIpUmizxX43sJVT+mUQ2YHu8xiAZ89SXDJ74+xlP7x5nwXK7baFg/KVk35bFhRrJpXciOjavsOzXg89+YYUw5zIwJmnVBsxbR7id88ZsVGp5BCAusQeDwzrsD7n/S1sS0e5qFVYdNsw3e/ZoeTx3qcvCoR92PUVJYkOsaw9Bq/X94b5ur1y/w8Yc7PHFgnDOrVeaagrGKoeZpKo7Gc8FRAiVJE2T2e2flRzqValoXK1ycAt0SBESJIEpSYCeCYSzox4Jego15wpB6tc+737LCB97c4ZarE9ZNuAyGdTo9WzYQhNk1UwShS6vjc3Qeji+usveaJ2dXzs390o0336uHg+7vVKqNv9kAP3ymxdWb++jYfN8Lzz3+75547JtTzxwwPPn8GP0BJImm6qbgisER4EqDLwVd5dJ3Fec6PheerPHkSz3+9Pou77t3wFvvHjI57hEGPkHsEkYuUeTmjkCcKOIkTdgkBcC1SZlbFzVlQpg0qLR1HI6j8dwE34uo+iGN6oCEAV95TvJHXxtn/8kxROSzbcKwftwwPa6YmfSYm5ZsmInYMtfh7GKX3/hCnTiosmmTYLzh0KxDsxYh3JDOoM54wyCEwBiIYsmkr4h1TDfy6PYTVjuK84tV9u5o8CPf2eJDf+xzerGOo6L0xnCI4wrDUDI35XPLVR2u39Hj5dPn+cTXqzz47DgX2lXqvqLhQd01eI7BVeBIm84XYrS6TgNG25su0YLEQJwI658ngjCxSaJBIhgkMIgNcRyjo4CpyoC3vanF+9/U5XXXRYxVXcKozmrbJ4g8osghjFzCWOWEFIQKpTRvvCng9msEIkl45JHHZi8tu//ulltvjZ95Yf73br1RIMRf3Sjov1KAd7oD9p+sv2vfS4//Wrz0hea1WzXBsM6xMyEKjVQGJQoGdaTBSaw95yeaqhL0lUc/dlgIKvzZk3Ue2d/n9od6/NP3drlmS4fZcUWz5hBGHmHsEsdODvIkA7iWaY+mlQQmDyjTVL8yNlnkxPhejKtCOoOIxU7Ef/xMhZMLEzx3cByjPaaqgtlpw/SYYKqpmBp3WTclmZuK2TjTZ2p8lS89r3n2wDjXbxJMNCSNmqRZ09SrIcIN8H0HR9nfbwwkiWQQOAyGEbEWthS4Z1jpuMwvN7lrd48797b4+EMVqisKR0YWkMYhTjzCyPZ4To9XuHVnj1uv6vH0Gy5welHy+w+Os9CqcW7Zx1OSuivwMhkmbeCZE3kmVbBMHhtBrCHSgiCBYQyhNpDEEEdIFbBhYsD1W+31uO2ahGbVIY7rtLsW2HFsgR3lwJb2fWyzxloLMD4mqnHotOLJAyvsP/u5qat2dH/t1htfs6qT3uf/KjH5Vwbw8+eOs2HjnPo/fu0TV33t8QNNZVZ40y2CDbOCdkfhdm30HSWgYmsDOgk4icBVBi82+ImgpgQDR9B3fAaJy3JY5cFnx3j8wIC6H/CP3t5m81TM1g0D7rq2iyNsi5gQVq7YrKStlTamxNwYhDQoYT1zQwwy5uWTkmcOOdz3VIOXzzQI4xoNRzFTNUzWDRM1Y33wpsPkmMPUuGBuMmbDzID1M6s8sj/gw/fNsn7cYaYJzbqiWRc0ajFVP+DxI4ph6ODWLaiMEYSxpOIobrp6wJMvjdvCp0FCq+Oy1PK5tDTBj7zjEueWlnnyhRlcCYgIDTmAglDSGzhMNCqMN+vceXWfN1zf53vfuMihs5r7n6rw1KEqR07UiYVDECj6kULlpQ/lwDPNCRhNrA1Ga1yRMOaFVIi48+Ye29cP2TQd8cG3BlQ9Sb3qEoY12l3L1lHspISj8pU1SkG99hlEkpW24sJyyM5tK9x5bcDg0sPN/a3lqyZu/0fqwMHDyd5rdv/NAfj+Ay9xsVP1gmNP/sDr90T/fvVUm30nJrn/0ZCr1msENugBm5mMpUAl4CQmfYIrBa42+LGhkghqTsoiicsgceknFbrdhH/38QlMHLFuZsjeLUOmxmLed++ALbMhUSRSvS2hxNxkq4bUCCn41MNV9h2vIxyH0xdqnL9Uo1JVjPmC8bqhWdE0K9CoCsZqimZDMdFwmBqH6fGYdVNDNs52SEyLT32jyaBXZ9cmQ7OmaNQkjaqmUYlx3ZAvPVkh6EvcWdstmkmUelXxttsHPPq8phdIeoOETt+h1XWYX65xzfYG73tdh+dernF6pYGSGohSvewSJYogsomZ3tCh3fNoVGvUqwHXbBpyx+4hZxfanLrYwnETXjzh8KdfryGULVxDyNGLaDSgwRiiMGHrupj33ztgupmwe6th3RQksUsQNohjl9WOSxwposRJ4yBFFNmVNIpVGhPJtNZHlAAuiCIbAN+4y3DVJp/eYILPfwUm5tS/v3b4RP/e12/86LHjz4dX7bz5bwbAn9t/moTFq6vi+K9Py6/LO6+boF71ubDgEEYapWwCRUqrvZUClRiiROAkBjeBSNnXWAn8xFDRhjgRhNoQJoJAS4JEEmqXSMNir8nX92kMCZ97yo5swOj0mWXxUotMZBWJEqkUceQgtYPrSBo+bJ8x1F1NzdfUfKj5gnpV0qhaOTTWkEw0YWosZmYiYMNMl4RV/uOnKzz20iw7p2CilrJ3TdKoxtSqIfXagGq1hq8kSqYaHCsHoshlOBAMgoRuoOgNNd2Bti1zdY9zl8Z47d6An/zuS/zqnzqcafkIoTEmQieGKHYJI8kwsGWsjYFDveJRq1ao+TUqfkSjGnLLrhDPjbhtV8wH39THUXGaBNIIYUZFeSrptJYIIfFdBXgMA4flVcfW7SRZzJM+Y1nEQHH6TCy4M2DniaX0NU4EBoMSHgdPTnN+QbP/ZMCFbzwsf3Z9+OsLZ9vfiPvD/X8V2PzvBvjH/uDTrGtWq088f/Q9+w7uE9fvCrhmS4st66eIYpduP84tqETaSj2lTVpEBYmyEbuT2Eq0OIvoE0GsTRHZa6sP7VMQaklsJIl2iLRPktpe5UeepRTgCGEzlQoqVUPFMVRUgu+C70DFM1R9QdWT1KqSWsWxAK8LxhuayWbM1HjA7GSPDbPLfPg+zR8+uI7N44rphqZZVzRqinoNalU7p/Disub4RZ+KZ1cuyCr9BMPQYfucZm56SGfoMRialMUlra5Do1qhURvng29a4MTFeX7r8xtxpINBk+iEWBui2CEIFYPQFkX1K5La0KHqu1T9hHbXxhiem9iEmWuTaEpppLTpfJE+bemKLeG0IBe0dVplqW1ckyQSrSWxLuKdOBGlAD97X3pNAZ09k9SdSbRNMHX7htMLEbgD7rm1jxg8L04cM+9xqlcff/LRzwzufP17Xl2AJ0J55y7N//SEv/jTdSXkI0/PcvRkyDVbDEoJKl6aWZSGRNta7iQRNtBLMjCTe9bWrkpviCzrpm35Z55mTyvlrJcr8kCprLmBNJNn0oBW40jSmhZwlcB1jPWNHUHFl1Q8SdVXVCuKRlXSqBnG6gnjjZjJZsD0RJ8t65Z56kjAxx/ewETFZ11D06wJC+6qpF7R1CsxjVrAU4fhxUM1rpoxqe4t0uaDQHHbbsOuLQOe3j9OPzAMhgm9gZOC3KVWqVKtjPM9r1/hxSMLPHlwDoxC68SWw8aGODJ5PckgcKgNDdWKouJpfM/F9xJ8R+M4Ca5jS4yV0mkRmyUchEFQ6LkiOLclxDpzpHRmv5as2AzYOgNw9jnLlo6C2/49WwAWxfaar59S3LtTsWlqnNMXXXni3MK/vO1m35udrv4iEL5qAD8z35Nh2P+F5x7/zf9l69aTnsM4Gy66tLo+y21JrWJwHAlpi1miBYmy4FWJse91BnTbQKsT8vdJlnEzWebNoNNMXJasMMZQyryPrLhZqjpL6CiZZiwVpaItm/3zPUXFV1R9Qa0qaFQNzVrCWD1mvBEwNTZgw8wqTx4e8Au/u44z58bZMa0Zr0GzqqhXFfUK1CsJ1UqE5w5pD22xmKsMsjSlNdGW4aLYo1mN6Meaflpn3R8mdPuSdlVR6/pU/Abb5iL+zQ+0+Vcfk3zz4DoMCm00SaKJk5gw1oSRYhgqBr6kGigqnsT3jJ1262hc1/r9jjIW4MpeE5XKFCHMaINumto3KYmYtJYlSQGf6OLVEpNMX0UB8Ox9UpQG5ISWrtYIwVTDodsZ46kLhjPzMftOnPEih3/+Ez/8A64xrZ8XYvwvnc7/SwP8heef5fP3f1G0e4N3Pfncicqbb+6we4thrDbBhSW7m1iWSFBSEKuMlQ1aFuBOEoPO3muB1iZPI+vcowWjje0iT0tAy0/WADyV3WlgaSWKrSm3dpmTtqK5jsT37ACgim9HMlR9Q72iadQSmrWIsUbIZHPAhpkWTx7q868+Os3hM5NsnbQOS6MqqdekZe+qoVZJqFUioiTkDx5qIJXClYU9mgHGLuEu//Atq3z52ZBu6NNPAd4bKLo9Rdt3qHg+vttk9+aYf/tPlvkXHxU8sX8d2kgSbdPqUWwLzYJQE1RsuavvCyquwPdsZtNzTJ6xdVRq2UrysuQc4EXKE0hJBJtLsG5LGshnAE6nDug8uUbK7uQrblIGtqZYnRODMZqVCOaXNZdWYs61I/buaXHV7Grl+IGv/c/rtr5TXFrs/sy6mb9cEugvDfAkSbjzus2/9unPfWFPa9Hnd/5Mcu+tIW+6YUhvWLegLkkPpQWJFCR5ejgDd8rM2owwtNZF+5UFurB1FBmosxO/5rgygGc1GFkmL2Nvx8nqTiSuK239hieo+HbmSc1PqFctuJv1kPHmgJnxNk8d6vMLvzPJy6en2TQhmKqXpEnFoV6x9SvVSkzVD3HdgPPLE7hKoKRObbkiyEwSSRwr1k8Y4jiiE1XSThnb49gdSqp9RcVz8dwKrjPGnk0x//YfL/Kzvw1PHpgl0dICPDFEcZIyuSbwNZVQMvRULsFcF1zHSjRbp2JwJKlMAZG+XgHjVq6QJoUQeXJIp8mhLFucJEXSSJfkpU5IJYvJV+Kc3LQtDxgME1Z6mrfd1eXNN8PK6hgPf+Nw9fXOdXeK/44Z5X8pgP/qx+7jwYNxbbr38HXj1dC9ZVeVi8seS4tVjp5xadQMXuqaJIkgkelFVdlny9SJQ/4lR4GdyRCTA91kciR7/wrHJkVRRCUlSClycCsp00aJTJ5AxQXf01Qrhqpv9XOtGtGshYzXB0xPtHn26JB/8ZEJXjo9w4ZxxUxdM1YVNCqSWkVRqwqqFXtz2FR/yJMHBb2hR0WR3mRWg2dNCDbIcqhXFHdd2+Wpl5v0IytTBkFCf6Do+grfU3iul+rnca7ZrPnlH1rgp34Tnjg4S6QlkdZps3TRgxl4Et/Tlr3doo7eUdmTVKYUMk6mWd4rgTxLCpkM4Cngk9x54Yorr5WcJQLLgJ221SVJsbLv2qiYa0xx6ITi/IJkud1l5Qtf8H7uZ26ozZ/84/7c9u/96wf4xfljzK3bNP6v/stnf2Pz5LnX33ZNwLlLDTa0XJJE4DgWpK5jdWei0rs2XbYsY6d3vAatxJVZuwRonQO7aAom1d75xRC2oEjIFNxpkZHKAQ4qrRh0HfBcbCeQlxZY+QnVVF40qgFjjQETjQ4vHAv4Fx+Z4MVTs8yNO8zUNGNVqFcE9aqiVlXUcvZOqPgxjdqQR170aLUrTEwUafIMMDrVplGimJ1SvOnGHo88o20XTahLIJdUXEnFdXAdD8epIqXmms2GX/qhBX7qNw1PHJ4l0g5RWgFoy14tk/uRzKsLPUfiOGkRlhQoJzs35MeX3YSZVBFZVRpFQmjtU5detS695ivvKLjLlZ3Fz+w1iyJ4+Zgi1oalVsTphYgb90avP3d46reTsR/60VOnb2tt2/rfNlDovxngJ07Nc/Hi8k8dP3HiAycPn+P732LYtTVifKVJp+8SJyK/2x2TOiNGpDo7u8uLOz6TH0kuQ8jZeySQXMvcKdKzjFyuvWVWQVfo7qxi0FHY+gzH4Lq2sbjiaSpeQrUSU6tE1CsBjdqQybE2zx0J+OnfnOaFE+uYHXeZrSWM1UwK7pS9K5Kqb9m/4sfU/JBYB3RDH6EkbsbguQYXKXulBWKRS90b2nKBsMJEBvJhQt9T6ZYo0tbEO9kGtIbrthk+9KOX+N//b80Th9YRaYcgEYSJTllcUIk0vmvwXNu76qRxh6NsibCSMj0/aVd+9loqzMpvzHKsswbcOQmViKkM7jyuKhOZLlg8kzxRbKeQdQaGix2DV+uxe9MSl+YrH6jEzx7HhD/718rgYf8kbnXD1o9+9PevHywucuzCHD93qs/7Xt/lDdcrlKwxCFQeWGgjSFQWOIqCuUs1ydloNJMFk6YIxAqmKLKSprxmZqxdDiqz5Tbt0FFpMOU4aWdQWoSUVQ9W3CTVzRHVSsBEs89YvcuTB2N+5sPTPH9iHTNjDjPVhLGKoZGCu1qxdmIG7qqfUPFimvWQg6cMDz9Xx5MSV+k0iCt0ZLZ8R4ki1g733BJx1Y4ex89Umalh+xxD27neH6Ys7Cgcx827nYQwXLsVfvmHl/jZ39R84+UZhlHVJsNiQy2t4fZdLMidbPXSeW+rVEm+wikpSgAXJZBzmV4pQG5GAZ5XKBYr75VW5rU/K4jPtsItdgSvua3F+143xJcznDkbEF3cd/1db/qBrfsPnzt93e5Nf/UAH/Yu4vrj2xbOPvMf5sZb77ppu2auWeHUgs+zh31ee63GcxLb5JpIEpXJkMxOMimYTQ7q8pJW2FGlyL3sklzmlqTMvRbcwiBVZgumNS8qZW3H4Dka19X4rsb3YipeTMUPqVUCJsf6rHb7PLoffvmP5th3bJrpFNzjVUOjKqhXRO6VW+dFW/b2LMCrfkCYJAwHFSrK3mRSiJFKviyRYgNNx2p5JyAIDYNIlACu8bwEz3VwXWmnCkg3BzgCbtgu+OUfXeXf/XHME4emuNBuMqxLxhNDIzZU0okDvmtS7z9zUkzO3plUyQCeH2960GWc5woxvSgmv1al8tuSpLTVnCWwrwF6UnofJxBF9rrdsVOyurKRUxd9Tl+IqTRX3uWNPZm8/q4b/uejJy6c2rXjL7an518Y4EeOn0Sq2h1Ba997JvznuXnPJBcWPXZthWa9QW8QICW4rs49b13ySrOoO5MkFtQiXdqyhM2oFCkDPDvFZVWYXQQ77iFj76IbvxgOZMtiXUenYyaSHNy+l4J7ssfi6oBf+oMan//mDEu9CWbGJDOVFNwVq7traWBZ9SU136QMbrV3xQ+BkK+94LEaeUz5jNRjI0ZXqCSxzQ9N3+Hem/s8eTikG/mM5R3rGi+wteqeYwHuKNuQLaRN0GBgz2bJr/7TDvc/OeAXf2cd55YmGIw7jHuCRqypxeBHdvSyp+xAIzcLNKXIg+DstRyol29MIfJekfz6wBoJWQZ2KX7SZfDnSbpRkGfJu4YPX31ygkbFoR/EnF9KOHXpEM2pyffs2VH7g1ZncOqvlMEHwz4Vv7rr4W888c8+e//LbJjq88YbQuam7aAYgQWT9VQtI+TWUZoBywCda+0c1KnHiilsqLWsXZYl6YnOmCVLN2cugMoArowtx02zd65j5514boLnxlS8CN+LaFQHOE6fR15M+O0vNrnvsVlC3WS2KZiuWFliLcDMJ1fpU6TMXWbvCMcJePzAOP3QYX0tO561DJ6tbraUtOIq7rxmQKwtwAeRsF3rWed6oG1w6KSzYVJ7T6TJdYNgelzwgTf2aPgX+J0vDnj0wBTzUZV+RdKMDXXHWJA7aRyiTBqXmBTk2TkURe24BEnB4iWVVWJx2yVEiZTWul669DOtC0ZPrhCcZtf67CWNECFLXUksh7zhjlXG1bMk0Z5/dsdtr32+P+gdrVX//J0l/lyAR/0T/PJHHmDD7NiGlw4ce8OXHxsSmhlOXVrmx951ibH6GO2eT6LTbFc5vXuZJBGlQFKMam0yoJeBXbIeyvaVMGukSZaVI+3KJ598lTG3q2wthu9GeF5ExQ2p1YZ4Xp8/etDhV35vluOLk7h+hbmGYNJPaPqGug/1tMO+6ttsZyVNCNn6lSRdCaw8Weok9EIPTyk8afIAk9JXyW7srHYjjF2q7pC58QGtfoNBJNJxazZWcN0ktflUancqC/CRwNVWPr7rdT1u27vIL//+kD/80gwrcZ2+71J3JU3H1uD4DniKvBnCyZI++RwakWeBswRQmVRGxUoZ6FxxBS7APQr4MovrMuEZ65uvDASJGvDj717i22936XSWqJgn39BZWNlg4tWjLx44zY17t/73ATyMEn7+x1677cihQx8+tf841232WenAV56coe5f4J+8o0uzbggCN69TGAW4KAJJXdQ3ZMFjfrdTBJUYcUWfW2AKNpHZIM4SwKVBSSuRCuZOUpDHeI6VJL4X4LsDTl2K+a3763z2G1OcuDRBs+YyWYEJP6HhmzT1noFbpuCWeVKokmpv37M3TrMe8JnHHY6erlJJJ3Dl7WIUKDelmz1JJFHssGcrfMdtXX77gSl6NYdmOnvED9O4QWkcR6Zj6yiB3C1Rqj3/W6YlP/MP+ly//Ry/ed8kJ+bHWImr9F2HuhLUUqB70tgbJ3WZ8tUvO6+ZfYjV50Wm01zuk2fElJVOmMtjqfxnZYlSyk4nqa+e6HSAkEj4kW9f5m031zh7cYpLy4InDlzklrvu+PC27Xe/XYrOnytVviXAjYkBxQNff3LTsSMv7dw0vcS6sUnOLxi2rihu2ObhOjGCBONR6qaxFWimDG6zlr2zZ3YSRM4C+cnKaduM6MAM2PY1G6VswW1dk4y9E1wntp07TozvB3hOQDcJ+fVPevzO/XOcXx5HqyqTY4pJzzDmaWopc9fy9L1M61RSaZJ65zm4PZu9DKKQo+d8eqHPhJ+6OFnSKXMlsiysKdWkRA7NusP2TSHKH9INGww8QTUyBBnAnSRN1CjrY8usBPhKwatiZqzPj7yrz3vumed37u/wW5+aYmlQZ+BUqDiKmiOoKlt/76XdPkqKNLtJuhqaKzM5V5Arax0WXonJRUmfk8sUmzSyYE8SiNLOov3HxtlQHePist2XtBcscstNz+0cd9WmnXvuPtXpJjQbr7zV1LcE+IkzF/Er9Zm5Kf+Tx/sH3R0bFYkZMj3uIKVg6/oxoqiPlHZWoJI67WAvmDsHdi5PCqCTflly3X1l5s4LObMTnQJ7RJ7ItEouPQ7HSXBUgudGVLwQzw1pD0Me3yf5owebfOobUwyTBp7nMeUJxj1N3TPUfEPNK8Bd8SW+L/FTaWITQ6kzkQLcc23m8+RFw6PP1ggjF79uLgsws0ee5k5LUcNI4boOb7qty8e/0uPwuTqDih3NELgGLwY30rihRilpfWspkEIWw30owJNoSawlNd9h3fiA//17+lyzJeAPH2zwzMExFgd1hsrDdR0qjqAqwc8GLGX2qjQ2nyAogXy0ZmVtcVaZ0U26oug1QL88MSQKLW4KkBugLiWnTtd4sJ8gpGa1a0io8id/dtzduuN1n5yKl27UUW/xL83gO7bU5YGjR+/4+Oe/NjbpLeF4CVunBXrOI4wVrhvngEJlQaT8lqAumFvksiSvRS4x+Ejhj+3RsUyep5R1Xu6ZTcNyVGKPRyW5HHGciHYv4rH9gt99oMmDz42x0m4gqxUaVcW4a2h6mpprqHmGqkfK2pa5q76k4ikqnqDikVbo6RTcGt+1+ls5AUfOwfl2xSZWUn07mjgp6mdsH6QFeawlYeiwrinYtXnAS2di+pFLkM749kIs+FQ2WTdL1IBc05lTuFWp/Elsffj73zTgrbev8tXnu3zsS02eOdhkuVujLT16noOn7IQDX2J7OKXdpU6J4iZVIi37vQKDX1a/spbJS+ytKQeegoQiN5ABHOyqsjKQ9M9bTz8yCZtmQ7TT4uyp+8Y6g3fcEakbHkhP5387wJcXLvqeMf/3woXF+h880+CGqzu87fYeb75llfUzDlorsoAjA61T6ofMlkxDAfSsw30E4KU7fvSslaWJGSnQL+YYZuPeEjsQP3MzZMRiN+aRZx2++FiDzz86xkKnjqhUcBsuTQfGXNvJU3VJZQdUPZE+ZVpymupuT+Bn7J0B3InxvJiKF2JMxNee8zl9scr0pMCVOtWxomj0LbGdKVmoSaIYBC5b1wnedHOfz34zpBe5DCJBxbX9ql46WapYpVTuVyPkiEyxT1k0Kmjrt1f9gPe/ccC33bbM577R5f7Hajyyr8FCu8ZAeAw8B8dVOELYFkIpcYVJpZZBIUrScNQ+vAKZ59dWl151Gl+tZezEQJx+jtN/Q8aClVCDSdg00edtt3Z5y20xN25zeeHoUr0+Jf/vqnv2GmDwlwL4w48fpd3pc2G+y64Zj+Mnp/k/j41x/xOr/OC3L/JtdyQ4wjaa6gzYehTg2R6WGYuPXIQU1KZsk6SnqLwMihKwhdCpHagRKcAdJ8FzIiqViGGQcPg8nLqg+MRDYzzwTJOF1Tq4FZymS01JGq6h4WiqrqHqQsW14K64diahLTOVpadI/9ykINc5yD3Xtqcdv6B56aQPrpsu86aUohcjKCgv10mS1Uzbcc7XbQ/Yu6nHofM1BhVBLRb4kSFQpNaeTtk7c1MyC7LQKrnPngX9WqXTB1yGoUu1GvD9bwt4510tvvxsjz/5So1TFyocOl8jbPnEvsPQcZDKTvVVgJO+ZkyeSxeK4P8yJjfkYLYkl7F3KksgB7f9M1tol7ceJpqqHPLWu1b4wbcH7N1UYzCc5MzFOo4ICFpHSQa1bwXhVwZ4EpwQQTD8Z5/9zKemr9tRodc3bOolnFzweeyZdSwsJezadp4btoUEoYs2yurvtKu9LEPybbZzvV0Gd3Y2ilMjRPEqsm6TjLWFTnd5SPB9K5HiJGF+GR76usPxc1UefqrK+dUqxy/UwfdRNYeKo6g7hrqjrYvg2sH5FdeOa7Mgzp4yfaoU4KSaOwW3m+C7lr3tjRVychEOnqrhylF7MJcoFPXghZuQOik67WuMXfZuHbBrts/+EzH92KURCQIHvNhOJVAlgEspEFKOMHnBlKUyVp3Vn6dNwYlL4Ho0qyH/8C0Br7u+w/nVDl972uPEWZ8vP1fjwnKFZOCipUPkKYSUdqVIu/IlacYTctmSEdJaZ6UccOaaPHdbMo2agpq0BNEkEEfs2d7hX3xwlV0bp3lu/3pOXazS6ko6/YSnjxyefu93f88/23fo9Idu2LP1iuHbKwL8zIkvo3Xygdnmufqte3yWWg7dvmLjbMyGuTbPHTecuyS5Zc8AIWK0dvIl0Y5tGAW5lSbF5+IslAPLLJFj1jB3SYqoBNdPiBLDibOCl04oHnqqxv6THgdOVukEPkHog+uhmi6+EtQU1BxNteQD+05Wp5GVzdq6cD+VJZ6n8DyZ3gCm0N5uYjOLrtX5FS/C6JBLK5LA+DiOxJMGp2SzrSHwHOSJGe13DGMXgcPMZIhUQ3qRS98R1umIioIxR+mRDKTMTGqAbNgRxWqatZZlg5HcROXjJ/qBx9xEyJZ1EbfsCBiEA/7RyTb7T3k89GSFl05WOHGmQhQr8BVGKhCSRJayQTl9v4JWEWu+eLbMoEuvGbizTJDdnmLjuiF1T/OFR6ucOueztGroDCKW2zEr/YV6deqxDyilPvTfxOD/12/fz/3f7KitzRfFVHXI9PYhq50Kw1DhuyFzGy5xfmmVh55yGUbwbbeGYGJc11Ctk4JZghbEkQV8FkhacGc5uNGTIYT98kLauhGERkhDFBr6Q8vop85J/vhBn36keOFAhWNnfZZ6HkHigeOBclFNhScFVQU1Zago7DgzlRYeKcvanits0qMMblfipbLE98D3SF0TmzJ3HY3nxmlGNKJaCVlYTXjoiQbtrs/EmMBJvfis6Gvtdc+vtS4FhFoSBIrpKcVb7xry5WcGnGnXGbjSyhQH3NjgRplnnXrsMrF2IeVZJzL/Hdo4IyUTSSLxEkXiKGLXjn2IItdaqW5E3Yt43XUxd14T8O43DDlyVvLiQZdBqPjDh2qcnHdBSPoDhyRUWfkmxskAvsYyygA+Auw8s4dIDELbzh6MplpPcF2NMJq3vGHILdeE/OT/Nc7pCxXmphOqyuYHlrs2ybY0f0r86AeuUv/T/Kfixtx7/2IAdxSEpvnrv/G51g3ffucKG6Y1d16ToBMHz42p1jo8+KTDxz7b5CNCMDuVYIzh5qtD3v/moS2RTQwzY5qbrgupV9Ib1Ih8Cbv8mot8OE+7L3hxn8NyR1KtSJ466PKFb1QYRophpLg476GFQ2RctHDBcRC+gyMlnhJUpKGSAttXBl8ZWwPupJ6vUzC3l/Vl5uBWaY+myNnbczWelxVoJTl7e16EUiFff17x2W82UJ5j7bYR/f3KDJ554UmSOR6K4dDlnXcP+PzjHf7wa2P04gr1VIe7mQ6PsqSMybuFhJA5wOyvkiWtXwK4tkweO5bJXUcROw5OnFigqwSl7CD9iUrM3btj7todYUTA+97YZxjZcW5/9g2fpw96VH3BUkfx4n6PTl+mKklc8QoXSQArTeoVzU03hUyPJ7b6NNG8/81DbtoVYTSsm9ZEAs4vujy+P+JSL8B1BUbH3HrNgI2TEe+/t3fDxrkbfz1O+JG/EIMbswhMN7/+1c/sfnmsqv7LJzcQipA7ru2i4wiJZhCM8eRLPuc7LkhY6ABojpyp8YWv2zvRJIaxCc0dN4Q0qrb+d03l1GUAJ3UdWj3FMy95dNoK6Ug7E8U4lpmEYwerSAekg5QSVwoLZmnwpcaTFgieAk8VM/osyEXR8ODYRoCs8bgMbsvwaVmtmzF4UnrG+E6EMSHnlzzCoII/JvHStLdKq/JGspiCgrxK1mnena4VYeQy0VBsng7xxJBB7DOIBVXHDsHMakiyhJaS5fJWmf8u+zuyZJsusqdap80nhTSK43Qeu1Lp/kcxUZygIptLcFSClDGbpnW6Ymiu2TIkNAOko2m3Bc+85NDqS1SuWEaD6jKZY2wwWa8Y7rwhYmxCY2K7slcVKJFJWYUQhp/6B13uvfE03aGLwSGOHe68RhIGYxw8PaOWY7X7He98V/P80mpn4/TEtwb46TMrKNX50NHT+9+I6bKhqVjpVXn06SqrQ7stSKI1iUigkgUHVkfFxtDOliCl6bQMF79eL33FKyfg7UuxvBkh0NmWC6Q1p0IVQY6UqZWVgTpNO0vSjVsz37j06qSd9Ip06z1ycNu2LoWXgttzyEtMLYOnLO7YkmDXiXHdCN+POLuk+f0v18HxcKUoAsxcnojLGLzsD2dDQi3Y7GCdMHL54FsHfO6RAQcuNeglLrXYbkprqwCLuTJCZTmBcrCXlS5mUkiWCryyp85rYRxH4SZ2XoqbAl3JImlm68bT90Kng4MSHGEQJmG6pvn212oQSSozAZHtn2Euv945HARohySyPzfGStrIyFLphmSiCu+401qdg6BKp19ltVNlte2zuLJKX+174/LCTR8ySfxjfy6Df+lLD6OU8L78aJflFcX0mGCibpgeGJa7sNBTLIcu/bSPrggUTCEss/fKkLgjMfUVvm/Gbqluz96nwYuQMm9BUwJckU6kFbZa0JX2syNJayrS7vGskMihNAeFdGe2oqu+ALjMZYvvmbylzfN0aXBOjJuyt+dESBlyel6w2KkgHAdfMiJP8vR8yULLEj3lQrOyPo4TRRi7TDUDts4NODQfMEgchgn4icBNDG6c6vCY3FkqUuhqpFMhc6msjWuKppNcGmmcRJMoiXKy7ctVWqyWIJVOVwpdWLMpyEX2u9FrrFyTAz1zwAoIFC1w5PEY+avJhqaSefmCRCui2KU/qLDaqbHSqdDq2u6xqzYl+JUlnn3yq54wl+d7LgP4RP0oIHjXa4ZcXPBo9yWDod0RTJAQJZrE2OU3SKdL2ag9A2+pbzLP334LaSKEXVazpTy3oDLPNQW1sM6EI01e45G9z3+Wkn1RCkreYOsp2y/qjoBb2lcvA3oWfKbgzrp/HJ1LFNex+tTzImIi7n+8yqXFKu6YwivXcJQdFNYo0pHiI7EmCFQMAzvB9h2v6fH4viGduELfcajGmjBNpytZFERlBWdCaIrOoSzQFLktaa3DdKaKgUTZ3+loQawETiLTXexsLU+cAr1Ipuk8wSalLiXe9EgSLjcLRMkjE69w/UuFdpAl/4qkoDZWRgWxS2/os9Sqcfqix1LL7rS82qmxPBBMrzuOuQLORgD+xQe+Sr1af+19X7v/tg1j59m7o06nX6E/lESRYWaqx2cfqyKAqrSgS4wgLmeosqWFKwuSHNfZM0sWCLtpt0gTCQ7kVptKU8Z2vkmhcVUGbGn3k89GIZSBnc9BUdh+xCsBPAs4M93tZLLEpHp7tJbccyM8N2S+rXnuWBUcDyeVJ06pQCnL9ok1CLcXsVR1l/elytwTjyKXm68KmBof0F6t0Y8VNQVubL+LSocnqagMcCzI819UZsMU7NrkU6q00iRa4GpBoiSJ0iRKEKcgLxevZeUQMgN5BurShCyBZfWipDnzyooq0BHv0JSZvHifF+GZoq4JI3CdmGePBBw/I4kjwyDQtAcx27cPedOtjduuufqdr/2h937bY7fcce+VAb51fRfHCb799qvNTTIesmdbiEkTOEL2mX9Yc7FXp+4Iy5pp9qkw8kfBbUa/zuXghvwuz7JiBThMzuBrSzidrDYirQHPSj1tc3HWqWJlicq7VwpgZ823lr1Tze2Q6+3MErSMXYDbzasTIwQR933D5/H9DaTv4Elh52/nFYTl+SzlOupibctHo+UsbgPNRCsGQ5e7rh3wHa/r8lv3NQgTn14iqSSGICZducpVfzqVc3rNDfVKTA7akXkrYQbuREmU0pbRpUxHS2Q73+kSwEvAluYyBhd5wo5Cl48APfuRGI3Qytluip4AKQ2TzR7toMtXXpoFU7E1K0IRKcHUfu+mxG1/exRHj12RwU+dPk+93njr1x7+0j949MV5ekO477kAjAVWoAUP7x8n0RKV7hc/4t+nh1hkJksHnQG79M3K4M4AIEugkBQ1D+XRBhlz2y1Iss+kDE7ehjXC4mk3jKtGwW3HKaxh7rRn00vb21wnaziIS8+IkIg/+VqTxPioPHtZDjCLvsbM2RjR4Kxp19PSTodKsmDTQeDy/nv7/MH9AS0dMUgqDBKBG5OzuJQGGYu86MzahWu1qCxZk6IEckHipKMcVApyx6C0lSuJMqjEVjDa7LHMS5MLi7Jc3VmUMedNKaXM9JVwcHlYVsQNJqcFkzd4/P1vG7Bt4znCxMnLj3UsUfIkGyav+Qd33fG2h9+5fPHLE1Pr1zC4icGEV62uhjuffC7hYneSbghBWpwukLhSMV3ReKootikD+s+TJdmXE6kRXpYnOdDXlGfmWnyN5sxAX57toZQotHhacTcy7CYFtqNE4aTkdqDtuLeNySZl7iLAdErs7bshzx2THL1QwSgXJSWe1Dhr6zRKAnztRc2eWX9quTkkc1Si2GXnhoi9O3p880iVSHkMYkFFgpsYnFik8i3twolTHY60cmHkV4oSi4uSNCpGeWQzIR2lU3Cn7WzKlMCd1QKZtEwgY3Ly1UOUwI3IJmZdgb1f4XF5+YZl8N5AMN1QvOfuEITBaFvDMwh9Tp2LMWG4s9MbXhWG0ZcvY/AzFxep1aqcXehQdQ271ykG6bZxUWyHKZo1UepaTW++5eHnauuywvl8KWd0WVd5zXdhuxWSRdjueVGA2waZIu8Wd3JwyxGAl4f/2G57cmDn2cqcuRM8xyZ2bFdQhCHiT79WY3m5ivAd67uXb8K1NSjlZatcG61HWXXEm9aKKHKYnpR895u6PHesSZBU6CuPamK1eFbOqiQpuLO1QqeeeFb9YVm8HNBZf9yUbrDyJF+ZjrhOn9pQTKOVI1pcpN/bglrmNfpiLYOvaVop0n2XU+LaKcHFZ4duv5J3QoWxJAwVQegQxQPmqgsk0QVMXBQX5gC/eOwTeK6gEkds31BHKUGcZNs1GzttKbSbhcZJ0ZXByCG+Mn+XL3IhT9a8lgFdBno+ealoii3PHMwBnrN4JlckyhkFuOekA4DcbOvANMPpGNw8Fa/T98nI01G2c+fAafjkgw0C6aGkSrOXozfi2gzm2lu/XFJ6WR9ryuBx4uAnDt/9liG/+0CffSeqRMqlLyVeolP3SCATUzo/xraXifJ6qtPfNbpvUZnJEw1ObiHaib8qLQlQiSmGdaYTaUXWqCwgLuvxPNgtF8sVn3MYiG+91pdBnq9sid3wdxA69AeKQaAYhnZ/VHB56fR5Vu//dL6NeQ7wFw6cZ8s1G2qPf/Y/bJ9onGPXVg9Musd7oOn0NSvtCNnTiKH9IuXBPN/yQNcwds7a2ZJVlilrpEkBdpEDZ+04ZFli7CzIzKY2OU62yWuqvdUacGfpezdrTNZ2ZkjeIpb1dMbpM0K5IUfPO3RDD5STyhOzpjx27Y07ivDRgUZrvPC0G6dI/DjUXcHujUP2HQ1JtM9Ae1QSW7PtpBpcCbuRq00sZWypyYLMgsmLEuasVczJB5vanykNibSAV+nuFFIXEwKy6VpJ1t2/poXQpjEMMmdvRoJOGAX75SxYgKdcah3Fdl+ilY7LckvS6RuGgSGM7Lz0BM1Vu6a3/88/8eO1X/lX/7gvnK0W4K3WPN2nO29R1Zmf2rr+eXZutPscBqFkGEl6A8nRM4pO32bMHIp5F5jL+xSyg1sbVI4MkckAIEeBUDC3GGFwmQeZ5aGaGcgpaqRVCdRqdBdjV5F64RbcFsDFUCC3LE/K7K3Svk4vZKWr+S+fbrA8qCB818oTaUZWlWJwzrfWnCPTBLI5MTmDW0cljh2aNYcf/64uX32uyXLgEUqHgZR4aQ9lMfIhZfC0rodUF2dltAadgltjkGucFZEyuMmD9AzsSoqUwa0kSnIXJQV4NoZ5LciFKd3oo1Zh9nNTwsaVMLS2nsYYweIqHDkTMxjGdmR0BK2+wagO977xup/qrux/rN3pfy5n8DMnD1LxKuw7cp6JSpv33dNGx1WGgUOSCC4sC84seix3PTyncDP+/IiSNbprFOhiDdtlwLBz8kosXpImWYdMDmwpkKoYP6ZKoHakxEkliZMDPNPcOg8qXUfn4HadrP5ilL1dFeF5IZ/4msvLx6sgXaSU+FlpbMnazPeIT7/kK1YTltg836miJFNiLdNNnlyu29nnXa/r8LsPVNCOz0B6+FLkSR8lBVEpoFvL5KLM5CULbqQZXIEydlXQRlhwZ1PCNCT5/BRRALw0X9x+f2G98JI8yZ2VMg7WfP6LPKQ0TI2FhEmX/Wcl88suSQLDUJCQ8Jbb26joFE8/WyOOh+QA3zRrq8qSwKG1Ck8d6ZEkIUYrNPDlZ6ocPOEyDMmHSb4iO2U/N6X3Obizwnxz2UCZEc84DywzwItclvz5AJcFwFWphtpJ61JcciniqsItcUvDgQrNbdnbdezUqtW25s++3mCp7UMldU9EKRh7BYmCEKPnqpTgvcy2yyxDLdFJ5qY4TDQV3/nGPp9/fMhyzydUDoNEpvakSN0bUTRjy4ItM2AbU3T96JzNi95IJ3NWVPo+HXut072UsvNeBrmQotR9nw3xTHW3LOvvci+nyTOul+nyy9oWyatMHWmoViLuur5FbSzkK89WbTucseW1/cDl2IUxrq5UGIb233EOHj7K5MTktiefeeonnz14gXNLTV46OUG3n3ZvC8Fy22PMU6xrJLlFJ69w4QT2+EZ+VmLuYjTvlYZmiss+Z0yuBPncvLyjvDT7u9zhYoe7MwrubGeDjLlVibkvY/Bs3EQxcsJRNnN58pTgyOkKGh8hnbw5t6geHJVYhatRnIhyLUrB5KIkT0TuZOTtZokDxmHP1pCd64csH6piEs+yeGJlilNycQr2LBd6ZXVCsrBzTcrmpvDJtSzmRpZjG6XtTaMlqfbOrktBRjm4tUhnqWQJH7FGqow2LudnZi0RlM6dNDZTOgwk6yfr7NxgeMN1QerPGzpDeOaQRIiTbJrb/ZPX7L33hQvnjp5yjNHEcTAXR+atz+3r0gnGEYGgnq5mAsPOSYPvJmmQJkrscOUlZq1zMGIJllitbA1mSZFReSJKzoQoBZsFoC2Dk44CLvvg5We6pbUqg7sE8nS/ejctDc3YW6WfHSdCqYj7v9ng6FIVvEKeuCXr8nLJBd9KhI+OOSs3apd2N8vKaEOHHdMh77irz9MHaqBd4sRqcTdJs7vJqFQqmLNsyaUgN6YkUUpyRabvZbqqyOxpz32SrhhSpKyusxXWlIjKlG7y8hSygskzZi7wIS7T4vaz/TuyVAkZRgrf86l4Gp2Wi7gGbtquOH+pj4C3DobDuSRJTjnNqh0hvHlW8/obJBeWXDq9mDAupoFmF6D4pcVKe9n1u0x3j/briSuAOvu8NkDLAC2uAOyczZUoNeGWwJ3OJyy27eByYDvFgKB8xJujU5DHVp6oiGot5JuHFZ/7ep3B0IOagyMFrhiVJmuPv/ydrwhw1ujvNZZh2RePYoexhsO77xnywON9njrsYeoug8THE+Q3msp/f6GDR8M5C/JyzsIGn+kNpiybJ9LqcV1i7Syo12lwKbUo7QwhSoFuYR5k7y0eirjA4qAsUy53VjL2Hq0nz9ucS+4TRJGk1RMcPj2guh5mNho6PXCSZEiiHeJkgBARE80mtYpK97a0W2NEsd1HJdvv8s/rXSgfqBSjP8u+2AjblRyT8vtciogC1FKVdm9IVxOnBO4C5FnZrMFxihHKTroJk6NGge7mbG2fStkA0/NCojDhgSdqHDhTA9dFSJWCKp0bUgouhRxl8bWuUYbsnLXT6ktTymRakMtci2d2YRg6XLMl5m2v6fHiqSpB7JFIl4FWeAlrjiXzwlnD4PbVrDkWO9cGtNFoJVCZDSwFRoE0hR7PV1QJUpdmGeqCpfOxbwKEvkJcwuWfy2XFlxOByHcKiRLrfcex3RrebksoCGMD0pAQMwgjgjjC+cyffQXHUay2urR6Y0xPgKMUxhjiWBFEMBja3b+GYUIYFVtPZL8cLj+wMnuvZbO1zH0ZwOXaALPYgaCQJiWrMGfsDODF5NRcoqTMbRnb5Ezt5K/FezcNLh0V4Xsh+08Lvvx4jf7Ag7qLFFnlICV78ApZzNL3LJ+hrBYl81hHB8mvSfiUCrDCyKXRCHnb3QGff2TIiyd8cDyGWuKlWlxpUEnmaqTHkNilXghBWqFUXDlVODmOopAu0rJ5tqpkQb62GLLSJGV0oQs3JV/BdMHso7HV5QAfIcUrmBflcdNBJBgEgt7AVhOGoSFOtN1RREnmxh0WTj3FY/P70TrBOX5mkURD3U/Yudkw1YzJ5k7HiWAYKDoDwaVlZbtAtD1BsnSO1qK7HGwWX0aM3LFXZHFZAntZc+cgt3q7nM1UKq0wTCsKbTtX+t4pzwdfA+706WZTaNMCf0fF9ulEuG5EbBLue6zKo/urUHFA2oZmt1TCO1IaW36WP1zhMTJTm6yclbwZOTHZXJMC6MHQ5Q3X9XnHa/u8fLpCHLsYoRgIBzchPyaRFCxeHMKVmbw8xF6p1DKUls3tZ4HUItfhud+fMXq22qYMXrD3mmvMKOALkI8GmGVo5aIqn6cuaPcMC8sxvUFMEKWqIv3bra6h0ehQ9fokscHZMhehjcSVA7ZuWGH3ZtvGZJdHQRgLDpyqcnGpQpLO1JIyRXAZ4aJ4s1ZzF+9FLltygJfauso7C4wAe0SqlNP0pWe6Y0EB9NLTKTZBzQDtlkCdOSfWMbGvSkV4bsQLpySf/FoD8EC6CKHyLiKVpq3XZl+z75OdFJGrzVLUUi4rLhddlUtoE9u6Zy+uytP3xji8/94BDz0x5JnjdpJApBX9RKQFXynoksyOMyPgoXQsxhjL4mWgW2JPb0KDlul+PllQnGlvmbK5sK/5NdSlgZ2ydPOPJMDMKC7Et+SCvFrVXt+Epe6AQ6cFQSLzwflxYti5acC6VoVhbGW2c+R8iO9KTl2MeOLggO++N0gnVdlfpZE8+GxMe1XR8O0dngcOJbE9cgJFAebCGrQXumjjusJOAiJlaSHsicm0XcYcuaNSAnnamlZsNmVSsGcD8Atwj7B26TVrrM2kilIxrhsTJTEPP1XlpWNVcF2QNrj0hClNji0HVqObOI1esFFomdKbvAGiVCMyUl2YSLRKHZXEIQhdrt055A13WBYfJJbFA+Ex1OAkogj8kswutIAqJIo9AGNGmTxfWSQYZZBGoIwttDNGIIzACJBGFFKl5HyNaO8RsJcD35QG1xgPrAF++dSJlFjrVc366YANc0vETopTYXKAv++eNhsmJti6+8e/97rrX3vIufNqQ6OWUFMOf/DQLI8ciCEttXSFwHcUInHYPJHgO7buQ6TMWmgocQUNlVlC6RcpfTFxGbDTOz8DdOohj9SfCPK9d/Ldi7Pm25GGh2LrEqXWgLs0FD93T1SCckoATyWK50QcvSj42AMNgsiFmpvKE/LWNFXeJbjsnIwsYa9AS2YU6GWZUt4cQJsraXGHui/5vrf1ue/ROofP25sv0Yp+omyVYZImf7AAEEk6lmPNSmJybiwALk2hxWWq0aU2GGmvkZHCAlwXOMiZXBeO2KgELa3Ql63sZoQELyvpSINnsE7YWB12b/O4Y+8Azw1RKkkDaYk0Lvd/c5zaet8BcIbT37/uxJmDP7f/9BNMN106fc/q2tQlqCoYb8JYPfPARZ5FLHuasPazGAV0idlHA8s1n3OQF2y9tshKlmo/VM7eJWDLLLgcBXc226/Q2+l7qQvtnQaXoYn5zNfqvHC0att9hIMSNnPppDXY5ebiskwp39Df8jGiwQur0KQuitHaAnsE5BKtHcKhy827BnzXvT3+0x95DLQD2iESkoG2MYLUqQZPClnIGmfF5HokzSIa+72MsquKMmBS79uYAvwZuKVJyciMrmKZZClLN712dUvPjyxnNdeyOfb/N2mFZBwLVrsuxkwy1qhj4hil0hp1ZVjpGbbMdtg2/th64iXXqQRnxz3df3u3EzPbcNk8nm5cmrOkjU49t2gcyPTwK6biR5YdMfJefguQ50tdGTgjdeBmRHvnQC9JElXS3irf6aG0EZUyayRJVimY5OB2nYgjFyQf/2oNO3/FsnfeuZ/9fsHIeGFZ+t7lQFOUP+SyZI3u1eXakGKuoEkHmtqNBSQ6USQq1eKJw/e8qc9nH65x8JwLMsQIyTBxcRBFbYgAkc0kTgSFs2xG/XBj0uljpsB8zugpSxsrWzIQS2N/h9GpP66tvNEjq/Mo2Nc6apo1PyuTpD1kG9Cm58SaH5LltoujilJdKW0PrRRdzl8Sf2+11/o5ZxiGSDRbpz3qVTe3rEaAmuniNaw0krEs34X5gWY3wbeQJWUdK0ffj7C4MKXgsvQ+Z2yTs7haA247kVWnr9YOVEqjMr9bxSgZo1IGT1TMFx6rc/Boob2lkNb7zjtouOIFFKz9LIpzVNLgxfvRBuQRT7w0kcrRwtamyCKFH0YO11wV8M7X9jj+cZ8wUSAcEuEwEAInSe27jHzIHBVROgpThMCpXjKmiAkUVprkbJ49hSlS/AK0tMDXmUyRZeZe66a8AthHJO5aNoeIMjEWzRXZn2fnUKKojie4Xh/nqo2GbkPTNHaOXW9oN3HNvrAhvXPSPceTtI+wlCrIT9CodirfEGu/YJH1WguS0b3TR1k7+6wkeQG+kgVz50BXZSYvdLfKgkhZkiayGJqvVILrRpy4qPivn2kylC7ZBK2iaz5dQfIm6NENsUbv+m+hTrIES54mN3kLW3m2eqHBxUh9ik3OufhJzI+9p8enH65x/IIDKkqlistACFQmT1I9ngeba0CeefMGcLIbLv2ZNKlEwaSsnXnieoTNTfp7tBQIU6wel5sJlzN3GexXSvjkOMy2HdTFplYmPaGJNvQDw2CYIBoe64YVnGCYMAgiPK/P+inFUssrJR4EsbZZoyAk7Z6w0erIvvGU7rSyNCmtAPn7LIV7BQYsA1usYe0skZJJEgt6XUgUOcrgzoi/nensjMmT0ae0LO46IZ1Q81ufb3J+wQflpNagTOWJGfG98/el5XaUpUa3D7wi0MtSJW88KPdoZil8mT/zZgipSGKHjTMBP/SuLr/8MY92ZKceGSMJtLK2YZLV/Ri73pfaeSkFmeXgU6WgSec3Fa+yYHcpTcHgpnTtUgVgrqC9L7dSC7CPaPD0c1nCJdoQxZog1IShJootqMs+/mIHxpoh9UpC3Tc4E2N2aekve8SJZG4qyFkpO+mDoWKl67DakfmAFq1LVteapSRjsvLSk4F7LRjWMndePJ+ztikFmwVrZ42vmf+dM7mjU0YvAG3lyCjgVTpkMnt1VITjR3zqPp8P/2mTQLtWngiVy5O8qXiNJTaiu3NJVob1lSFuCgItWYVl0Gcpe4PWOs9u5il8bbcCrzgxP/K+HkdOe/zOF6wWB0UiJENtezdlkh1XuQAru1jFely2Ky2oU6mSgdrYmzwrFLOkY6x9OJL4sTKmKLiyeNBlkhuRKGIUP2vWGLsTst39udWNaXU1w9A23mQPJe1Q1ThxWeg44CscSYLvJMxORGyYNUw0B7hOgpQao6Hdl3SHHrEZY7VTsXgW1pvOTsuI1lwTQJTv0tEU9mhhTr6MjkgUUwoy0y26y1sGqmLjV8vS2c8yEJeYXBbVgaOvcep7R6yswqe/WmM1yMBtAe7KYrJWWZ6MrDqZXXalJbaE77LWzqVK+gcjVX1rt17Ua+rEpURphdYOceIw5iW85819PvtYjeWuAhmBVkRYPZ53+4iyXcify+Q2D1QkhbL6FJUGm6QsngM69cm1ufyay6xU1tjVRMvyAP01iZ8S0LPjyD52Bpqzq5pOAN2BtFWvwm5yO1WHZt0mKA0CJ9CSQSJoR0OqQUTAAEdFKGVo9xX3PVZlEEJFxtRUgpQy3zNxZA/27MuUmVxeDvb8C+c3yqiOHdm+rlzjkQeW5QaD0aAyG05jpzKZVHoUAWbB3BlrF+zt1mLu+3qFp16qokva2zY1ZPJktN4kb80qsfeIRVj6syuTeMqeJauwvA12uRnClINOI1Gm8MXjxMXRMXdeF/Idt/f5/fs9UCEIiRGCQDsoIezksCzQzDKcIweY3XUFk6usRyKzD7MAVApkpsmlnfFSMHdJppSaY3RGYhlbm1cmwxHJm0oa1xVM+Q4b5/q8trrCII74wmM+/YHMi+8qroNfAdcJcWSEc25RMr8gefQpj07gE8ZVNPYgolhx4oxLzZXsWi/YvSmmUXdxRVYTUk7DrrmoV2BrKKVwX0marGVvMQrswkVJPyuDk44Yk9IU4C65JVkyR6kk1eIpyKV1T3w34vgZycfuazDf9SwVSDvoXQmKHRvWxAuX6e5yIuNbq5OCzXOJUq5NKY8vK4JNM9J1b/fPsa92+5N19YTv/44ej73kc/ySBBEBCo1kKGRpEyl7DUZFwJobrszneTYzvQ5lNhf2fQZmYyyQs+tq/6yQKVKALq8kQuRJnELamtL5zKpIbR5mvGHYvdVh12ZJ1de8bveAKLG9wsZIBlGF+SWX2fWGZtPgRIlLEHkMujWGfUlrYEi0/Uc9B/ZuMIxVYaKRZq0oAqysdY3SBS/LkQzQxZ+PAruQKaXKt3xL7suZ+zKQ5zOy175P8qGReUJHlnS3THBSW9DzIoJE8xufaPLoc1Xb2yYdq72ltF07pe+bH2t2fOWb+QpMXoaOWAPu0Qxm4VoUe7yXy2fLZbS23UxnjkqiiaWDih3ecEvID7+/wy/8hkcQS9tjqCVx6qpILUrHZkE+MsLB2JY0SsdnP4tSbJB216dJIG0yyWrBK4Vlf52DtFj5jFhDhsKgGbWgi3IOO2sFIfIbUmu4uFQhCNfRrEWMN6LU+zYkWtLu+oR+QN1JqMgYJ4rsAW2YSoib0O4VWjgbN1zxJLV0p187KcoWNZWTM5dnpzI2NyOeqKAM7vJgn9HZHnlQKUinKVF0dq9hcJUydzYBdSS4lIUscdIZ13lwKWNcL+Zrz7h89tEaQehC1cm1d87eeWB7eeZyrf1V1t/2eeWm4/LIsrx8NpcGRfGVUVmV4WiteKIlUlupkgE9jh2qtZj3vGHAg48OeOgZZW1DbOYuEg4DSquuEeloh5IGl6VS3tIqYy3CDNT2sxGg0u+XHbcUVoObkuy0wBYpc5PblWslbEaOWZyHBCk0Jj2xYSToDwUGSRh5tHsOC6s+bipThYBW12G1o2nO2D5jx3NtLcrMdEBrxQc8Kj6Ux515jsB1Vb47glKXa+qydhIZsNewe5nFy4xdliVCpFG5LDkW+SxCUzgoI9ZgBmRdYu4S0EvD3HPtLe2U2FbPcN9jNQ5frNglS9iSWJFpb0FpgpS5DNz5d8u/tygB/VvokwzchjxFPlI+W5YqaxI/a+vFpVRInSC1QxQ4XD0X8R2v6/HUQY92mKZftdXjIYpsH4hRcF8uVww2uZPfkNLaCkUzRMbmqVTJGTytIU+Jy+QSJf0t2fkzBcOPaO7sCHSh2xMhiLVJW9Ykg6HAde2OGk7atVWrGHpRwnw7ZPMwpJmEOIOBZnFZcOxMhdkxn3VT2Vjh0viFUpFT3o9ZYqrsDFzJQSl+Zk9Exu7FqIESe+fSpATsLLhTmQ9eBJcyH8yegdysAXe6M0HpNQO368RoEn7v/iof/kwDIxzre4+wN4X2llc47jXLba4ji9TXlTFekiUjLDmivzMmv7yVTWdpe63RiURL64srqYkSF6k0P/LuPscuuHz4sw5RXIBcIwiEROlskETm85ZAnoNa2AwO2JLafHaQKUbAyfTYReaNp/+bMKmbUoyYyKxCI8oauwh6i9igHMOUEoqRIJSCgUx3mSvNoHQcge8KxuqC3RtcZiYcKlUHp15TTI0pdm30mZ30S4VKRWCX+deG8lbRo3bXCIuXQH1FB6UUQI5IlZLHnTF7PhPvSsydzsdby9xX2rNepXvPWA0e4XoRx+Yln324Tq/nQlVdzt55zXcpABZFgqdYrS5/D39+kqdg8BLoS5KlPLdE66zeowR0mQFdoqXV4lI6RFFCox7z7nv6PPCNKscupkkFO6CaRAgGafJeCBBpE4s9GJEC2P71rDbFQOGoZJJEFr2RebqeQqaItUCXBZhlprFZC3RyoyK7/SzWTF6jk90AQjAyMsRRMK8UzaqkMQ0xBmes4UPskMyEbFufCvnSXZfl+k1a5BLGkjCy2c1EF1tx53ddCbBlNi++XEmWrAF7FrxlwxzLwWU5sSNFeTB7SX+XttuQJVkiZeqYpEzuODFBpHnwyTpffT6tFpSuBfga9s4CXiUEI8Ew2fGPpp8zhIs/D9mjhD4K9NJT6zR7mDkp6VYkVnfrQqZoSSIkKpFooYgChzffFPLmOwec/aJLoNMKOlsJRYzDUGArDlNBYlOKNntj0pZElV/ZzFGxQDeCHPgmBbTMVqcU1FKuAbopWFqL1GYuEaG9t0ZjFpOm4OMYu199bIiTQlSVidPejBHrJhP2JhWQDZzvfMPG1vETSw882mv9vUhLdm3yCSMF6R44nqNB2Dkdw8BhtePR6jlFoXx6IS7zMTOgUwSVGfgLMMPoZCRSYK9h7RzoxS4DZedEysv1tvXAk9L7GCltp470Yh55xuNXPjpGYpzCOZEKIWS+ZUrG1KMMXnZ8rszef4EkZoHsjAEvkylmRK5oSiunFmhROCq5JpfWGxfaIY41npfw0z/Q4fA5h0eelmhPpJC1XyDSigFlQVWUzKJEscl8+kVyLzy9pipbxaVJ/7cU0OkNoClGSWR1KjKTcFkgmuMlW/EuL55KEggjQ7tvaPUF/dD2bQhs2JTFRsMIdm4ZolXMmaXGA7Kxs6UmZhq9Y6cWjrc63g9XvJhrtg2Zm+qxbrLL5FiXIO4hVR8hhyQmJoodgsAjisUIsEfrtk0+2rjQ0qN1JOW0e+5zlwqo1NrqQFUElHlBVdk1kWukyZq6E1XqtTy3IviVj43x2PN1uymPtO1oSBdHCqoSfEm6ydVoc/Hlz7QBOh+SMzqMSKXtXlKtaZgu6frisyjd9GuyumUykAUZiLVSr/xnBqanYnzH8NQ+j9ZArllqZD5FvKg4tGCzOFt7d4qRG/PKj1Ixrin+brmYK7+XTGE9Uv5/rsAKYQz9SNOOE3pJTEjMUCecWZIsdSRLfUWoBTvXa67e0kCHS9+/NL/vsFP1rd+LSZhsDpCyxbNHNYMIeqHizx6p0Q8VRkhqjuTGrbBxWhElo9pZjLD1qEWUbVEiZNlBWeMnZ8HlmgAzu9gjmjtj8TKwSzuB5dlKmfnecf4+8RI+9vkxPvf1OqaiQCiLTuEgpBzpt3QuY+9XtgdH9sK8/Jpf5oGbNZ8vA8Sabvu1HT46nR9oUuY2Rhc1KkIitSIRDnKQ8J43DjhwwuVDH3EI/XjEqDfaJUhrZ0SWX0/SIhOK+vDsLjA6zW5mUxUERbAprDyRqWzJrOKMCPMaJ0HeaZTLi/Qc2n7fQuJIAcqR1KuC3dsD9u5ewfcClIgZxvCZhysMQ0kvdHnpVJ3lPnSHAiFcjNE4vYGPNg6+G3L0QsAfPVLhhWNjBJGLIyWrLTsmoerCbNMw7rg4Eup2wFPal2jSMV5mBADlKaMjAeaIc2Iuez+yB4wsWYPSIFWxIdIIqGVSAnoZ3AkyrzlJeOhpn49+sc4wSafgi8waTLOWwoxo75Hmi7U37pVcI0Zf/zytYlIEZN7zZRlNzGUltEaWrEJZclaEsoVZMi3OkppEO/iu5gfe0eOJFz0eel6mvrLMNCLaOATatqPlRSQj4Ba5Xihck7RWXKwBubRuixAm9b6L81cAPf3XBamFWFjLxmC7grKzJmwuZqLpsHWuwa51munxIRU/xJExN2zRKGUHcj5/fJWnDoxh9DgTDUWswTnfGpAkivF6yMXlOk/sa+IYl6oLHoZ1c4aKC3VfMF6XNKqKOC7k2dpumysDe1RzjyZ5MoCXl+USuEWxm4C6TIdfgcXL7C2TIsB0IvoB/OJvj3HivI9xit2SR7R3JpGyC8Ma5uZyEJdiywLIonSFXgHkazcQGM1olouvynr8CkVZMq04lGUWV4hEI4SDDDU7Nkb8/D9p88Q/9+kO0y+jcxiR4DDM5EFW3J25K1hgo1NQG3KHRaUBZQbszFERafFVluQpZzBzaSuxMwdLqyGkro60lYtgm20cJWj3PA6emmSiGVGvRFS8hFolxnMSqm7Ma/cEtFqC/rDF+qkeUWxwwmgGqSQXl6qsLEtu2izQaW4/26nMdaHqSeo1h0ZN4Xki186FJ305eMuMvnZmdFmO5ODOX4ugsvDBS9vYCVMCdeaUlHzvbHfe1PN2nIg4gV/7VIPnD1Ws5y0z5i6cE1eMyhIlRllblNhoLXOnqcG8fuKV+PoyJl/jnBQNEKlLkRdamVFgm4LB86BTSwvyRKJF+kxSqaI1N++J+PH3tvkPnxgnTFIWhzwqTFAEOtPiqUwpgRxRgDq/MYVIwV1i86x1LZMjaYJIYisJy4meAvijjG4ohocm2hBGmk5fIIRiGAhqFbsyuY7Os5hJIpisRuzeMs74eI0kTnB+9iffies1WZp/lq9/9fPsOzpFENuzLYTtx3RdQcVTVHxJrSKo+cbuBpyOQlOyBNQREJf1eBnYGfgLOzCfL32ZRBndn7Fg76TQ5eWkzsgzDSwrCV950ud3PtWgPXCtB5h63giFECJ1ToqsZbmUV40c9+X6u6gaHJ1iVeyvdrngNqMfR/E+AnSDeSVgG5n6w2Y0CSSsjZhIhTTa1qvEimZF84Pv6/Psyz4PflNBLU6ZOj1CKYi1ZEgWUxQgNwiMNHa8eGojKkrqRYg802nSDKQqyZcyowtTnLsc4JRKbkXpuwN2zyH7e+xGuZKKJ/Fcm8W0FiSEETz2csDb3no3V+24iVa7izOMXITjsrDqstRSbJ6TdAeKMMrqrG2Zou8KKp7B93S+n6STNhtcPtF/7UTRckBabHmRbz0nixR9GdhZYsfuj14GezLqd0trBcp8X3UbWEoZI52YQ6cc/usnmxxb9tIimpL2TisG3XTWSe5sXCmoZA1zUwJ2BvYM0Fem8JL/tQbka3R3UWVYml+41iMvgT0vxDI631RWZFJFGCtVIsPOyZgf++4up+Ydjp4XGKcssARI11rC5YMtM7nIgF1m9cwXt1Ik20KQEogz1WNKhoQwpTk5FPJfkBJgqUXNeuGGKNIMAptt99LtIZUUBJGhN9BMjwk2r3MYaygkDo7dp13g+4qZaU3F7XJmvonruFSyPds964d7pR0RHFXaqqIsPYW9MmuzmeVAsrzNxVrWFmXnRBSbjhYyRNtEz2XJnALoSiVIGeP5MfNtwS9+pMlnv1bDuKpIx38L9lalG/By54TR71z+nH3/NedkLY2PsPYasGc/u7wmpazDM0CbPMNpMh2eMrgU2fs0+BSaONG40roq7UDyU7+quNQS4ItCTxiBwcmZvAxyK0PSGy51VKwcSbt8MqALUZIlxaok8gC0WN1NWo9SJgYB6ejuQhWE2RCnUOM6Iq2PskD3PTvF6uxKQByFhKEhSQRxbHBaQ4lb8+aPz8svP3Fo9q1u0mXdJEyNaxrVEmNn8/zyyi0z6mWaYr/xEYDLcsB5OcjLQaUoBZRrJYoSunBQMoCXMpUydU3se1trEqL5wuN1vvJ0La01UTmwR9m72DW4PG/wisVUJf0tS8DOs5drmDuPMa/kHZc94jKgKTxjo1MwjdSn2LJXmyoXKWMLhEgTP6mzImWpZkVKRFpx6DuGt9w+5J2v6fMHDyjCWNi0bXbwEgwusREMdXFNjUipWBfsTSpP8vR+LkuKqsKsTDbT5XnZbH5Oi2Ir9JrzUeIIlXVupfufeq7GdwW1imZyXHH3tbB5rslVm+MvjzXUvCsN6r/+l//MO992R2uqTmu2qf9+EnSYnvCYnYyZbMZMNCOa9YhmLaJRi6jXIqp+bAfiO4W8YOTCj1YBjpS/XpbYyYLUK1UIps0MI/bgKHOXO+KdFNyOE5NIzecfrfL/+/AYJy/6aRNDkdCxNScCX0JF2kH2TjoGLpstfvlwocwxKgbz51NuBUgpybdVEaND+u2kLjmauMmcurXPckBbLmMoBey5dSlN6h9n24ZcecXJ7jQhrBaYbCZcc1XE2QXF0TOOHYGWFfGX7lYjhG0IzuOL0vJUdojS91mpa6lEyv47ly9ao9nb0qvtv4QwsdnJQSjoh4JBBMNIMIwMQQTDyE6XjWKNMdBqa5zaLhI59b8eOnLyyTvvuMfu0TMYBoSxRpuI9dMJ2zYOaNSC0oZMSRqtxniOFfzD0GEQeAwClyB0IJbZbozF1xJr2HskmFwTWIrLmVum7klZohQBZom504AyswRdN+HkkuR3Pl3n8DEfGip3S/LEjpS5NMn7LFlTm76WucvPrPwgu/BiNKBcW4uSSbfsb1wxuERgh9GX2L3kosgcCKPpeylAa7vrcFaQJVJ9LkShw6XIuvIdosCwZ0fMD7y7y9MveZxalMUX1pkeT2uQpGCYxgN5wCnKdShpMVbJUclYOndSsj9L29wuO5+lE6INRNqCuRcIOpFkEAHC4DvgSoGrDJ6ytq6roNnSzDZjtu2IkAQIEwLpJlQbNt+IdGrUKgZ39lkWOwFz9ZD1UwZXCRKdIEWM78WcuiTpDiQ7NkB12GRpdZwwdIrERnoNy5uCFsFkGexF5lLkOvv/ae+94yW5yjvv7zmVq9PNM3MnZ4XRKCMJJSQMSCR7Advw2uDIYrMOsPsam8UJ766B3deAzYJtFgNrFq9ZwgIiCAUQkiwJ5TCSJmjyaPLcfDtUOGf/OFXV1X3vSCIK2Pd8Pj19u7puT9/u33nq9/ye1AW2KDh4BvTCeqc998XPIrfeKZNzgr/5dI3bHwm6WYIFsLvUxJX0tUHuVulYomwxF8qCC4BfkMhe2vJMq+xclk3bopYtp4LKAKqgKaIE/lKkUwptCgyUkS5z2VAIy2wjoUibiqvP6/C7vzTLf/y4ZCofECwzE6zIuLdFklluLQVeXk6fSYNdfm4yXQrQy9LfqnNZUBQ5KLKw793Ps0xPWrHgSFPTTubYMN6i2YJ9x1wcx0YLGyuVSCtlxXCboTDhyWMVXrFkJS84bwszc60uwFevXMbQ8OgtH/noN96366nBP3zqUIumVjQq0/za9bN84Y6Q3UcqeJ7FzLxLnEpGqjGvvSLm3DWSODEZbTn3LqsjPaAu8/CSTNhjscvWXPZab8tKs+eyII5V/tlw8LbQ/P0Xq/zDF6rMFdHKXt4thGkznCsn5aSqAsi5NS/r4CVL3etU54+zEqvnhu8eS75YyZouAb5szbv9U7LMz8LppLDcSgqEkubz1WZgQSpk5lgrUmVBqqk6MW9+7RzHJyw+9OkarR5FRWQg12hlk0jTGgIhug6lNI2g7Ize6NzhzM7VeZRblBzO7KqTy4ZSZnWcdLk2QOAqXnnpNK+7cpqhmnGSZ5qawE/Yc0TypTs9fuW6iJpXpd0OOTrlUPWOvW/J8k23JIePAVk25H/+z/+FU/NefHIy3qAS+cqRqs2GFSn37Ez5pxuHeXDvMEcmGpyaqBK1Aog8Os2Aqdk6g9UAS5q3wtbuuwAARURJREFU1lswXMoGFF3+Xa6rlEWRQn+uSSkUb/WqJ4UFL4I8eZZggnAU23a7/OUn6xw84XVD8TnvtrJaSyHwZWbBZc67u9w7lwu7dZjlpKj+ZClRHO/pYS7yzqsZ95bd0SsL+LYsjW0R3ezL/Nwe7l0q0u4xGNATKe6ZhZNfTRE9G1Zmu8Z3FaMDKXc97nD8pDSWt1/zzDi5Et2BKL2jAbvbWvc/zl+n5DEWgkTJUAgoSiV9R7ByVHL9C2zWLQmoeAGDVZ8VIzbLhyzOXq141eUtJJpv3reUudlBBus1Rur60zsfv/3uCy95edeCA7zpDdfjuT73PXAnTuduzlo3zR07PHYfrrO0AnVPE7qKwNWEnqAeSpYMu8zOWfhOQiVIsbKOjQW4syhkWevusdol3t2VB1WfBe+CXIpSlDLj3znvtp2Ux/Y6vPW9A2x7ykM7sktLCgsuS7KgLhr59E9qWEwaXIym9Ndb9swo6Kcrz8WMd1lKyWL3y4Wm2Y1RJHqtucwimjJLpRUahNYoLY0V16ZDllCGk6cY3iAizTnrYz7yh9O8+S8F23ZnzklucgtEasgtOVmuegZ4lddpAlZGo/Kroi5RmDwQJEXXmudXv7xazJKCwBdUA5uDRwKSRNGoJFT8hMCP8d2EShDRqM1xYrrNl+6BtcMz/OaW9Wy9+Bo67Rbwx70AHxgYpBIGzEc+DTnLHds1ew41WN3QDFc0oQe+a0L2oS+pVcxwUsvOvxCdZQ2W+fRCnt0N9OTHFQtlwoW8W/ZIg6UcE5lgO4o5Lfm7L1Z4ZLtHavUFc7J8E5DYoq+Yocy9+5LFuhJnfutrC9EHevp+fjaE6z5glxGuy3WaPcfzT3qRnHEtkFknrLxhqs508VSYF1BCZoG4jI9nM95toTnvjA6/9bPz/NEHHeYSAQ4U2VIZHwcByiIVgiiv8FECJyuY0ELTrQTK3ni+ETJakjueeRAoSz9EdVO7EJhOVpOzGiFtmm1J1bcJfIfASwl9j3bksGHpNJecPcPh4wHLRn2qtRFcd774XAuALx1yCcNg90VnhHvuvr++7hv3wqq6zWCo8T2B75rqet+TBJ5FNZDUqhB6ZrZ7z8gQK8sdKfPuPkvdC/LFLHc3YilzZzMHt0ixRIIlUmwnpangE1+q8LlvVujkYJZl6230OJkZJkfoQjlZMGfnmRzJsjPZ41iWJLgFyH5mG75QPusCoydsT0GHeyy6GQrVBXyunMgM8EIbLi6lyiKdGqE1QkvjgJJZ81TjCs3rrm2y/YDNJ75YZT7GfGAqA2F+D4BlCoBl1xKbUL1xPnPrTeZUFpHMbBPk+ya36vlnJYSp2MnbtM3OJ2gNnUgy79sEnkXgKgLPYXrWpVHzePmFs3xnu8++44N71rTD3fNNRfddZus97/srVp915Z7pVjj68BPRVX7aYuWYTS20zK1iUwttahWLekVSr0AtVFSClMBX+F5qtHEnL/rtzx/pz/nOnre6/Lvg4aK39KycayJFVxq07YT5GD7+lQp/+Q91jk+6peocpzehShrr7WW82xXdZDG7pwAj17e7fLfYALLbFbd43HO8zLNLHDw/1s/B+zZVL/8uadqyv9d2X1JbySkWsqRe5ZuuOCfn4uVNm18PTISyUUu54MyI2abgiT22CQL1hGfLezYLNJFZ4h7Pu9ykuSygZr9XKnbQOus0W5xbaumcTfRLUogT05KtEwlaHcls0+boSZdWy+GF541zztmrPtyZ3/2xtRsuWmjBATYuD7Hs8OvVF/CqfQfFuTOzpjWYJcG2Ba4DvmucktBTBH5K4KUEXoLr5BOCVUki1MWHK+keE2V60sO9y5Y8v5U0b1GiJlaK9DVf/nrIez5W49ikA26/5e5a8DximVvvMnj7Ne/Fte+uzt3/fXe/QvFsBvtZrbkuUZEyVclPWBi670Y7lRZmjLbohvOF7tXEjWxIdq8RZFRFG34dR5qlAynv+o1ZJmYl//S1KvjZpaOw5Jqi2h4zxynKEqxUHsrPrLUlukpK3hul2NS6S/mk0iTCtIZIlDD5J6nO6oA1ndhYdNfNc1DMqPk0TZjvKA7N+o/8wrLRr8/Ot3o+U6v84BOf/CQXXjh0sNluXfz4nuR8W9osGZLUQqgGmmqgqIeKephQqyRUg4RqEBP4Cb4X4zlJaZBqn7XO80us0s89+d4lemLlQRzVB27Vrc7xFbsP27z3E3Ue3uFlI/7KKbDlXG+BI03KRa6amABPOVpZjlT2VvBYudLRU5ZXfty1zoX6IfKhAYtbcFG+EuSKTDkKmb1uHlDqqQMtUoxLxygH1robMWcURRV7YclLv5Ofk4fflaZeVwS+5p7HHCanZAkp/Za8Kyt2HeReD1uUn9P5ud1eL6kWxMq06jb0xGzIREGa5kDXxKmJWkaxot1RdCLNQE2xbmVKLKyv7dq748O//IZf6wF4jwUHGBzcDEJy5bmPsWTgBEqFTM35CMB1FL6b4rspnpfgu3FmuU1aatFeKws25A5Q8dEU1ltlQFBdS15KoJJCIRaAu5QG6yr2HLH50480uO1BH/z+HJOy9m0077wNRHk62un4d/mxLAFo0czCXEkpfadlS98PuO4X3eXS3ct2r9fZG+wptWjIrHduSAun8jRJWQIDIqFkFiSSZvowugj8CDSpsIokp7SdcM0Fbf7irdP8yUca7D3qmkugMdndiGfuJGbEIikitd2cdjB+QlEcAfko1qLvS6IFceZASwGe1IQ2+LYgcDRepPEdje+Y5lNCwKl5eOxAzDmbhrjm0g0o1SU6pwX41Vdfg7Ts6LZbD/PoU4dpVH2GaprQTwgzS+17Mb4b47sRgWdm2lhWitaCKLbpxA5xYpOmlsl2o9v/rmzRRZmW5MBeFNy5RU+wHMX+EzZ/9rd1PndLSCRsk0RCub4yv+9zLMXihQz9RQ29ORz55iwBuPxcH7BPu8pP9sXpc8ALutSk57w8hVZ3rWBPMChXVEqRTZHRFSGyiGemYefBnzxAZDaBVXixucKCkvi24udf3CJVgj/5cJ0DJzJlJQe5oJe6YKExQE0FpICbOZVWYe27SokGUi1op9BKBXGSIpIUUAhhYVkWniuoOZrQgYqTydQuBJ5g+RJJraLZvGGMyy+/Nkry0STPBPBafZBatfGOZUvPOvPgwfmr5+bbLBlKGKq3qVdbhH7bFH3aEXOtmFsftOgkZtu7tua8DR3Gh11m58OM91nZfgbRo3urxXl3QUXS7PxcFjT058BJhz/6UJ0v3BoS5XMFF7XcZoaLTal5Zl8ofkHWIAsdt0WB30076r9K90spz3n147qcF94fts8jlnlBQBHBzBWVUmfaMhdXKi8uzkEuC+8uy4Ix31d2LEnAsVNe/9IWtgXv/FCDAydcQ1dk6c1CiZebzz/PJykufaUoj6Tb/TBR0FaCVjti3dgkF2ycw7MVGkkzcbh7W5WpeZ8T0iGwLRoeDPmapbamZgvGaiOsX7Xh2+PLlr+j1Z59doDXawM8eO83Zuu1YOfKJdYVjkisJUPzjA5OoWhycjZipqX44h0+D++t8tj2Cp3YQ0gLQczLLj/Fu980x1AF2h1ZNEsq+N8CcBsnUghVAnpaPM7BLa2UI5MW7/pwnS/cEhJZ2czuIoEqJ6eZLJhd6hzZW6XTU52TvZ8C3OWuCpQcz77bYg5m/m0XWXffDc57ck56cVNOuysXREBZJizPus/BT7evoeg6m8VjlVccCRQG8CIL6RuwG+qSJBobxete3CJJBX/4oQZHJ0t/X1k6VOZ7ztMaFYIYEJmGbnJg6EZUyZoIRbBqbI4/f9MpXnGZQiIRQtFO53hoxzSP7bX4/B1VppoBE3MBzTkPLYTpdePK1LLCnV+/6VuzL3/Ztc8O8HzF0dxbBwe8ixte87xmMsFnblc8+XSFG+4aI8UiarmAQ8UXDIcmy0tpl7sedfnnb07zay/VRLGNECb1NZejyoqJlVfhZLQkB3c3apnREkuROIKP3VDlczdl4O7h3OX7hZp3OWIpF7n1SGZlya2soJQQfjp+3R3GJb5bfPdGMxcEdXTvObrfoncluZ5oZ/5cnyXvcnGDR3JdPNPI0+KYmQIrUrBJ+fmXNtm5z+Z9n6iRQNfx7NHH82XMvEISZedIaeb8iJKx8YRGu5rXX5Vw6Zl1jhyvoLXGsVM8N+aiTR0u3hzz+mvmgGluuNvnyUM+39lW58hUyKrVlcemZubfOtCoLvrZLgrwC17wMu647bNp0Find+3fwTfuC/nm/XVsy8YXglRDo6apOprAVgS5fOgIqhWPhjfK4RNtPDfBcxLyrv7C0sYy94Fb9gC9FMzJEqqwBTff5fOZm0M6WaprN/1V0iMJklGTzLEsRywXs9650lBYb3rv+0WDMtcuA7rnhNJ6JqCXaUkP2EvP9RZC5LRElBzVha0mcqfTADpPqc1BLhFadeVDLRBaonL+jc5iOrnzaRVp0J5Q/OJLmty/3eamu8MsCpmH8JXZLXkkKqcrUIBcaoGtNQ7mO3AtjW9rRirQnB7iO4/Z1CoQuAm+l+K7CTNzMZ4X41gpSlu85HyLV1wccdOqJt98yOKCc9boJO6kL3/Zq587wAFWrL+M+Wb7M//wv3dtmj11qvLSrRIpFLuPpZycElQ8TehqAg9CTxB4JiA0OuhQ92FqVjNQyyowtDDOYxF+T7vURKos1dVQEpEpJlKkSFshbPjKnT7v+FCDJ/d6WcHwIsAuqSZS5OH4UqJXocd3HcvedhC6d5BrSeJaUDhQtuaLqSfPAdw9aO471qUnXQ28P8uwh47kFew9BcpdpUWUrHd3E2Qhe6Th3piUWpFFXYTQKGUVb0NojU5hy7qY979thj+w4Gt3hgbDZbE5vyzk91IDNgpJoo1Taai5UbQ8GwYqmrl5hx37PcaGoB46WQAxIfScTOCIOTFls+dQBSEshmoxb/nZ+vzZF17wGdsJTvsRW6d74q8/8H5e9fLrHty8evA3BtynG1s3wOa1TfacSDh2ymasrmmEIotqWjSqDgN1m4G6oFZRhJ6REx07LQonjJzY3xSza8ELp1KYJj7CgS/fEfDOD9d5Yp9vUFuoJE4vNclUEyGN5c7Hjth53kkO+FK0coEGLRd5nLdTK84XpatBPgeyPLG5pIdnj/NjXV285NzKxehSNzPzdI+7DZQWc4b7MwmzDZc9pmfD5hu1q4fnXV/LG7jYsArGhlPO3ZRw8Jhk516766g80+4VohgI6whTpOBa4Dvm5jndJLFUSeJUkhRp2JJaJWbXkYj/fYfL/sM2h09YrFl3ydHp6fk3nnX2hfHpcHxaCw5w4flnMjM7ze49d+AFx9h1NOXJAwMMVWGgIqlVJBXfIvAtQl9SDQX1UBF4Cscp9+0u9wpMerMBheHbBQfPai+x4ct3Bvz7D9d5fI/XC+4+vl1WTZyMmliUxv6VgdxHUxZt6LNA66bnC++XCBcz1flYvGddizmWLJJVCL3WubDqXUOfV/kIujxc9GnjOUXJLToFVZE9fFxl8owQOtPMS39OBFvWxvzlv5lBa/hqYcmzNyKU+a7yKocs0Utj08HCkQI31aQWpAriFFodxVwzQQhIEot2JGl3zH2SCnzP48zVM6xeGbP3oMcZYxWWjK+hUh14xo/3GQE+unRZ58Dh6bdMtpZ+Rp58un7rQx7EHiuWwlDd5KaEviTwBIGnqQSKaphS8RN8N8V1TfGv45jmO44dYdtZr8DMsRQiNX681OZnaZD5tbt83vmhOk/sc/vAXQZ2t/VDHrhZrLfJgsKFfkdygQXs4+AlGlLOw+hRBUX3WAnmzwXfBYgXgDwHv8g3QuFKLtq7sAC8pmhIn2cZ5lw818CFEtlsHFGiLJBLugBIUxFkBjxlQ1cLkGvOWRvzvt+dQWn4+l1B6UPLKYoCnZrvSiegHZR2aQobC4mTKpxY45jZtVhSoUlIUkUnNv1Pmh1BJ3LQGs5cU+faC6a4oWVzzWUr50cH9W8Jf7zzPQP8D/7if6lbHr3+pt9/xcwvqsS9QUQV+5yVFsvHLAZqxmp7jsZ1Fb6jCTxFGCRUAsOZTDAoxnM7eE6E60TYdpxp3Gn56yXvlKqk4MZ7fP7gr+s8udc117EeS70wzwRZuvT1l6DRW4rWX8BrvpP+ZqEZsHP+XWwA0bMZeoBeimj2wHoRx/N0zmVPiuwz5oj3Do3Nj+dA7lpsveCYyvqBd+s2DReXeS5LlnFI8TMFJ5fQdUaFREUpZ6+J+S+/N4PWgpvv9klNZ59MG8z+eC0RQqJlAlZKoj1mtel5aQlpCsszWqR0SpKYUPy8I/Ecwdy8RbNto/UgtZqmE9sEIy+fWTq+9r6pmYmF4cvnCvD/78/exFe/9hkVhhfv3bNvjV4+sI2NqxyG6lAJFI6dFrzOtTWemxL6MZUgJvQ7hH6bwOsQ+C1cp00sEg6d0EzPSWxbsnRJSqOmcDKAKCn45v0u//b9dXYcyMAt5UJA9/xsvjAnU0wWBHXE4vWV/aH5Hq7ZA/JeQJex2u+Q/iDWYioKPVa6PyBE0aIhP2FBMhaln8uOZm7ZM9qSb4BcicrBjcy17DzXSiMyB5RIcdbqmA+8fZrfSeC2+zxSoZEIHKBeUyxZorBtmJq1OHHCpZNGJCpkSnvZh2x0G9NoFOIEHCszgkLg2AknpyxOTlmsWlLjF687NxYieZ0f1E7qZvUZP89nBDjAWWe+ED+oteu17Xuq8qnNS+qnCH2N66QoLZmZ92l1HCxp8lTCICL0O1SDNtWwie+1ONmKuOs+h0eeCvj6PT7b99r4fsr1l7a5cFPEK1/UZu14yje/4/G2v6qzc79rIjRlcLMY0I2HZYv+xj30WPFCCuyjKUY10aehLIuUY5Wdtb5jp40CwbMSlX4dvOcJ0e3wqlkEwNBDVVSRL9VnzcXpOLk2dEUIUBJhZbkqxfG81lZm0UoyWbHLqaRO2bQq5r/+wTS/91d1vn2vx5rlKa+8us0Fm2JefmkHz4Pte22+fo/Hw0953P1Qlafna0ymIamySl25TGKVJaEZwXRLoTR4doprpZzdHODSq7fs2bJp/dNHjxxifHzlM362z2p7Dhw4zG3334vvD16ZNB+9PYi/jrRtohh8y8JiBEv6+J4pI6r4HeqVJmHQZGq+xWN7BB/9ap07t9WYnvLQDiASSGNEFKPbCT//8iavubbNuz9WZcc+F233l5vlSonTBbc0kqCVOZVeliFolBNd1FMWykmeJivyfO/SeJI8dXaRWssexUWK7uO8d3WRVZjXYsqiGb4Qouf5vE+KlOW88+7/bVndTMbysACrOJYPFlDd46V+MnnNZjHmpfR8N7i2sN9jud9MbyVVX5xC6lIArpu6bCLPGhzB9v0O7/5Ylde+uM0vXNdCtSDt2CSJGawrHc3ktOY7j0s++pUKD+9pcHK2gee6DAeaAVdR9TS+C8IWCGcex20TxYIkVvyra9Zvu+bSDW84euzotq0X/ApLlo5/fxZ81apxjk82GR0Ijtxwi3vHjTftuvKRvVMcPFrjzKUWV2112LoxoVFNqAQdhhpzBP4stz6g+B831bn5wQFmWhUcz8FrGF02USkqaaOTeVYtN/0rdh20OXjEQluiZJ1PQ08yvUxm4HYWWO2cmpwmiYqS9YYeGtLvdJZNQddYl6x7j9piHuQ9PhYx/s9oxQtLLhahJ6KUhZg5cl3+XVZTTJW7yZ/K1JQs8NO19qJkzU01jsr/CtnVzVHSOJoFF1cImXN044AqYYEygTuRwuqlKRtXJqDhwNOSFQ1BJwpoRwFJaqM1uHbKSy+KuOKcOW59uMWnbmrxjftGOJqEUJU4lqIewpb1DleeH7JhZZvdh+c5Pr2S8VH/3fv37tv2yte9G3jns8H32QEOMDYYsnv7PU9dekblbyaOn3nlvdvu5qwlFlvWuIwMCDwnoRp2GKzNgpjly/cI/sMnR9mxfxC/6jLSkAS2SVdVwGxsMzHjsWHFDH/4q9O86vI2gad5YLvDDbdbpm21EBQZguUckwzcebSyCMfTV1+ZgbdHY2YRabAfpH1cvUtnFhv2WuIs5bVAPjw9vAuVpADvQrmweK4sKfbw6VI0s9gIGRURdAEtFgsC5RtBZq+lCh6OUMaZ1BRt13qaO0nzn5rNYxr73HSPx9/8UxXfh1df3uIdb2wxPuQyO1+hE7kmNioVM/MxlaDDv7p8njNXTVB1Yr76wAjHmzUcKakFipOTmseeqoC28LynGV22herotaTpHPDu5wLd5wZwgEpjFaNj9fuc2vwXX7B1/ucaHGLdSlg+2mbFklmWjUzw9ESTv/lcyM0PDHNgosbwkEXD0VQzlcXJZl1ONC2WD3X4f18/xeuuifBtiFH8zIUdvnZbaHhfz62cbyKKLEGHcvqrSdhfLNdEont4d29b597Srh5AloBfxmiZmz8HDH/PqxuOz4p587yUDMj5OcYKg85K1bsaeAn0SnQBmu+CTB0xl4xMOckaeWptJgx3wW7u8v9Q5P+HkmhhmfOl4pYHPNodm9m2zadvCmjFTX7vtRaeXWN61kPKPM8koR25tNouK4eb/PlvtLjygqf5q8+OsP/EIErZ2FaK0hHNluClV13ApRds/mJkr7kPNfmcP8PnDPCly8Z5ZMfT+y+84NLfH/cftlpT+lXDtSmWjc4w2Zzjv98i+OJdS7hrWwNHeiyrw4CrqLiawNUErilc9hzB6qUWF2+xeNE5AXFLoGSE67W4/PwOZ25MeHSPC14//7YKOdAW4JIVMIiu5S44NHpRWlJUv5Qfl++hiBqWlZTF1JS+fdD3/HNEu+49VeevljmNi1l0c16vnJi3bshpSznpqkd9UZjC4ILS5I5qdp/3/i4yEaW5mqosU0ot/ANMZb7CdgSP73K46yGXxHLADWgLn5sfHKARwAs2hziOhe+k+F5W6ujbdCKHTuwwUHN5/YtarBmd4Et3N/nmwwM8dLDGsZmUk62A6o4lN1z5shf+ftw6fMAN1/zgAQ5w7ubl7N1594F161+w7fiB46964MnD3Pp4zI33DbH7cJVW02GsIghdRdXRJl/FE1muisyinTZjg5JVoyFT00MIPUM1nMd1YjodTTsRXfVElsFtAhE2Gbj7ZcG+KGVuqReAnUWUE3qfp3zfB/T8yR7L3s9QvktrXvDt/L5knbsn9CVeFerKIs9lz/dbcaOwlGhNISOK0jm5A2CkO6Gy7yMDue4DuaFzKiuQANcDpI2QPhXPYyjUHDoCFcdidNCiVpFUfYvQN8GcKLaIE4sotvG9gK1rE9aPx/zcFSe58b45nj7uM9g4lysuuWjbN+945MCLr3rBd/XZflcAB5DuSoZHlr9v954n123bN/2L//u2Cap+lTU1QRpCJ1E4FoSepuIJQl9Q8SWBL6kGNo2qZKhhvPl2ZBElDqmySBE8+KTN/gNZ8bDorYiXOeema7ktunSjAHSJQ5dbH5dBn38x5ShkT75GGeQYq0731B7Kcjosf9eMRdDrYJYOllLCu5uiAH23+WVXGsxOKBxLiiSuXEYsp9V2QV+OhmYtIER2HrJwMouJEECaWfE4sVi1MuL8MxMe2iFR0ia0TRWOUjAxnSCEIEosoljSSRRRIkgSQZpK0lTSiVKOxTZJYrFiaI63/avj3PX4ctz6ms9cfsm57zt25NB3+6l+9wBfvWYFN954w/Sqpet+PRK7li8f7lyxaanNhhWCU3Ntvv2wRT3QVD1BNRBUAkkYWFQCm2ooaVQ0tUqK55oRJAYwJuN5rm3myXRbHNtIKU3CFPR2oqJETQqncJGWCDnFEKXN0G+1C3CLhdRlMeD37YDy75QB+1zYSqGc9NEVShZdiLKFLzuPZbXFyDdd3t4b6s/7ZRoaUqIwWRP7MqiNYmIsgtTd1scKiUh1dy69NiViItVIaePohJpnilXyHPZUQyfWzLVSbDsL+acWSSpJs+JiI/drXDfh3ickp6YCNiz3OGOtZKhh37lk7eZfv/vuG5svfOH1P3yAA1x33av4xrcfbr7m+p+NBq0vsW7pBKvG57ntsYRINfAdTegLqqFFJbDM8KpAUAs19YqiGhgO5jqmWNlxYp4+Bp+4sUrqeCA9kA6WJfGEyQy06HUITQ637lbcLLDYuvd4LyZ7eXXpNfsDN4Ky1Rb9T9NzZJFCh9PhO6cE/ZjWJbCX81CMJdXdx7lcmB1bQF/68lREZokR3cIbs1FyNSVTVjAVQoXlVhJklj+et/3QeUFFtzwOTC7Jr17f5LO3tzlwKqad2rQTQSvSNNvKTI/JNluqTOMgpSVC2NiWZnhAM9me4e4nFQeOemCv5Wdf/YpIyKQ5OPbdg/t7BjjAJeeuR2t176i/9bLdu24IvnCn5qHtFUYqmoovqIWmvVsltKgGgmqgqIWKWiWlGsSEfoTnxnhuhOt3+PwdPvuPVNBWgLBdXEsS5O0dynRC59y5F8B5nV+/BNjfOB7Ru1F6rO8iTmc/2BdIgIsgeHEO/sym/LS5J/2PS45nb6he9xYgl+hJDmABXcmvbMXRBfe2RKliP3sHeQ/ybocE826klNkQ2rxEULNmacovXDXD+/+5StvxmIslYWRSOfKEOq3Ixq1Y6CzJy3E0U7M+112oGK42uWsbWLVzW35t871SSr7X9T0DfGCghtaz7zpj65X69u/sffuJY/v9M1cKDh5V1EKLRs2hXrUymqJMpmGQUA1NxDPwTUi/Xm3yyC7451sbtHUV6XoEtiS0NF5eqFD6Mss+Tj/NKDuORY8Runy8/3fKuFsQmi/AvnBSmngmkJcs7nNdxen9qkqZupQzCyGP6izs5NpX4dNj3UV3jF+hgecVQtkv6awZD9nr5P5HEZkvNgWI1FxFUyUzOREqtuL113a47cEp7tvtMW0F+JZJqMo7KyiVmgY/qSZNbRQCx7YZrEmeOlhjONS85sXr2pdffcUHZ1vyj5eMVL5XmJ6+4OG5rHe/+z366iuvvaNRC6xlQ+3Ljk1NWpOzLuvHHUYHLAZrUK8oamFKLUypBgm1IKIadqhVWowMzPLY3og/+ttB7ts1gvBCqo5gwNFUbfBtbQoXsrB6L8coW+Y87J6DW/eAvAj89IXkC+svMyCX2qYVAdWe4+U2x90ihzyMn9dudgsd6BY89DxeRL7su9p0j4sFyWE9VUa5qrPgtUSW9dfd2adLIis2do/v0m0Bl7+Ezqa3GQ5tkWY30wNHgjZDaJcNp5yxtskTuwX7jnlo28YWorgimNRbMz0tSRVJNrNzbCjiyMQcp+bXRGOja983M3X8P5y79ezk+8Ho92zB87VidCZat7Lx3i9/ayhqtib+4qKNyK0bNI4TmwYursJzUlzHlCBVgg7VsMVwfZaHdnX4s481uGPbKCIIqbuCuq0JHY2b9elGmA8iTo11SvMwcrkQt0f204sDpvxF5huEPmDQD4K+dm35L/U5mD0bru+072YtppYsUFYy/ZoF1r00VkSLIlCTDwnvnkOhqBiOTRae79XEzd8jIAviI7rptnFqVJM0NRvNskxmaZpK0sySX3r2HO/5rZP88ccE39k1hhRO4a+kStOJFe0OzDuKU9OKwydt4sThrA111WTwLw5OjL7fn56Ivl98fl8WHOAjH/0cL7zmjYkbLJ/YuqHyW561Xe47kTBSF6wYixgZaOE6Ka6jCPyIWthmdGCWx/e3+ZOPNrht2ygyqDLoCQZdRdXVVFwIXTNC3LVN2ZnSEKeCTiqLDkhm35es8oIWbH3aeKkNWn/btJ4Gl/1NLzNL3l+2JrJziitAbp0La95t5dZ9ffMlL9h8i2zEIo238BlEnwUXPTSqWzbXv2FF7+YrrHL++13fRJAnoGVjZGS3t7vGWPBO5NBsm9lMUWwUkXyEuMZ0NBNI1q+I2biyyeN7BHuOBli2ZYa5YQZLTcwJohgGainrVsyw41DKhk1XqYu3bnzb2GDn8M+++lXfLzy/fwsOcM5ZqxgbXb5r7z7nrSem23977MnH5BnLFbXqJMenUhzRIPQh8GIGanM8tq/NH/+3Bt9+fBQnCBnwBQOuInRM1NN3wHXMGHEpIU40iYb5pmQ6MYWrjgBfgrS6inHP9DHRC+6eaGX5zZe5OYtwcOi17OXfeRae/VwMeNl5LGvh+XPlw/l53RI1etSW8tDYPApK+ffMmy5C+ypvoFlOrUX0/L9SKGzblBbml5LJKGRq1iVOZDaRwVylE1cWfFxl95edNcf73nKcd3wUHtk3iictfFsT+Bq3FjMxKRhXLsuGQ6544QVqcHTdW4P6Wbs6+ukfBDS/fwsO8IEPfpjrfu5X0gvOO+/hr317+1Q9iK7bNP40dz6h+fK3h6kHIWNDCaODs+w7Ps+7Plrn248vwa+EDPuCAc+E9Cu+acsVeoJKpqHXAotG1SZKU47NzTLbTOmkglRYWFLg5iMAS8XF/U00+ynLwj6EouhB2MvdyyNERNEQs8zbyzx8cSved7zg6ae32AsplShp971VRf30qly4nI8tKVhVtiF7xMxis3b5d56aa1kKJysW970OntuiFUUcODrIwWNV2lF3PpNWuWRoeKVGopWFUhbrx1POXDXHI7tsjk2HjFTgnNWSX3iRIvCbPLlfcMEZw1x4dv3fnnfRq/8usHYny1ed+eMDcICP/7f/yq/8xm/r88/ZMrpiiXjlrfce8u591GHjsgobVylWjs1ybHqGd/59lbu3L2Wg6jMSaOquMqB2NZWsBUXVF1QDi1poM1BzWDZic/X5Mb/5imPEnWl27rGIhIO0LJMHngM86+SW9/vudzTzLzK/L9OMfnD3O509lfN9oO9xLmUfqOXpAd4LrOxYmSqI0wNZLAB8OYemW3W/wB8h76myyPVF5Dnu2YxSO8VxEny3g+3O879ud3nH3y/n4NN+xrdzi43JRszVGARkDmmS2kSJy4bxlC3rZrlrh8fcnEfNkwSuz5Y1sHRpwJZzXzZ7yWUv/lhrfmJ7UFv/g4LlD4ai5KsaBuw7OnvDyNKL/80ZZ4oP1pzbhlaNnmTNeJNadYLP/YvN/dvHWDbkMOilWaFp1gDGBd8VhL7JWalk0c9GVTA6kDI2qFkx4vGnvzrDydlpvvKdCsoxnSBz5cQS9AxxXdSpXOR9L6AuCyzpaZzK5/CZfDd+Zh61zEmJ7jlWPpHCIaRfCuyhOKIIBOWvj8DkgWfup05Nz24LDUKZQg9tsgnBWPTQi/nG/ZJ3f2KUKK4yIBS+FaGUQ5zaPRFJ6PL1JJW0Og7zLY9W2+XCDZO8/MIJPvY1l6eOO7SThFSM8IuvvWrijLPPfVuUTt3gOIM/SEj+YAE+NtIAoNWc/dSrr7vcPnW49b5HHvrq6NMTk2w7lPLJm5axetRmWUPhu2Rd+w0YXVvgZ0lZefSzHgoaVUW9YmZ0pkoyWJecsbLDV+5S5kIoKIBtW5hR46UqnOKLZWFWnvkCe3/ud8rKTttpd0j59Z7DkZ6ln/2U4tRc/RAUedxFJ1mRFyGXkrBO89+rPCCUBRVkKfKZO5m27La+thzFzkMWc7MeQQidBGZbCtdJMs3cNk6/kEhhFY6pSk3uSZwIAt8nih3e+OJT7Dk6wamZkIHBJazYcMWJ1euu+sPJqfhTQ4OjP0A0mvUDBXi+grCG1oc/Mb72Innfoyfes2//LaPffNTGVQHrxjRjgzaDdUmzE7P9gEapfHSczLIOs+hnqKmGKWFgAG5ZqQkbkysRAluYEYBOBm4n68mZc9Y8wUgpehyvnuKAfivfRwnAAKo36NNn1Xs2Si6z0XNfXkWOSelxN4jT8/LF+y4/Xf69ImiTh+51/r508f/3v0eljNxaBnUe5JFSk1hdbt0NnWpiJcx47Y5mvpXNLpUCKS1sCxxb4jmSikzRIuWpQzbzTZehhkurbbN2HF5z2Ry3Pyp48QvPPnHBZZe88+lT85/YuHL4hwHFHw7AzYc6zpMPf/UfNqwcTo8d3fhXvjgytG5UsXKJy4oxm02rI6Y78zy038VKbIYtgecK00QokFQCTTVIqfip6UvuJjh2zHxb8/SEi7AtXGnyVExfDY1rZ7KiJQrrnSoz0EiRWa4yeEpI6VISUfDufuv9rPREPMvzfaucSCX6wF3+MZP6zTFh/tFdQlCadFwK+Rd/V3dsY/5ieSwhTkTRv92SmlSp4v+0pSJNsqBOYrNsOMYPOswlVZqxoNnRuI7ORjymJtvTsnFsCH2B56SkYo67diS0ZgSbVli0Oy5ShsQdxaa1GyZmW0PvuP1bd33y19/4ih8WDH94AAc487xX8F8/+tl/jNWGaPVy6++mTx2rbd0oWTHWYdOqSR49NEekRgiFwHUEgW9TCWQxLqUSGHAHnslZ8d0Ou57W3PpgFduzCWQX1J5t2n+5dldeBEOBlMoTfLroE6bcsLCEZTmwVxkp68YlcBZK/MJVtpai33T2r8Xyv/tfrwz4PO0V02fbJEeVEqbIrwaGx+QW2ZK6+IN11mwzio0KojGqiWPlQTQTvLETGze1mG+5XHN+i2VjLbYdSJiPHaqxxu1o09MkjxBbAtex6EQmsmlbMRNNxc4DPlGcMjlrajLP3LxqdsvIyt+1rOY/n3/Z63+YEPzhAhxgcratmpHzmaVLVybnbXT/caz2iNeoxbTiDnc84jE7Y7NsCVQCi2poUQsF9UpKLew2EAo8M03Ctjrcv9Ph1EyIX5EEtsKzNZ6j8Uo97lxHYGdJLJ2Oph0pOrFpESYyKbHg75kV7wZ0SvJhUf0jFsVomWaU5HOKKGghyy389a523VvwUF5lJzl/X+X0WiW6kzNyv0GWGnEaJUZniohpnSfQJNKiHdk02zatTlYlZWlcx7RoMC2vLWzLIk4c2pHDUN3m0s3zPLmvw0zsUI1EJhKYjsFgAlq2JQg9yfSczfqVFlef22TXkZBDc4LJtmLjxg3t0dHh3zxns/z8sVOtZ2za84NYP3SA/8m/eyOHj02kll25K2oenH3w3hluv/OAd/lWwcSMhystBmuCRtVmsAaD9dRU6PuJ6S7qZ9bb6zDTivn0rWMI26diQ2hjAG4LvEyFCTyJ50pcx9xSpTg+2+HwDNhS4tumZa8UAlvqLgcXpVYRVim/JH++FB0vl9ro3OMr6c05IAvtuYRwXb5klPO588cZdyr7tGIR266KjVlWL0TWdKe7coA7tklPdh3Tb32mqTl80iNJJJ4DnmvmoeY83BIax7LpRCme4xLFPq+/tsnn75xnuhMwG0vczKE3uSUKrU3aiOc4VEOHVbHPUDVixaDm0k0xbmVt2w5Gf1nr5V/87M0T6S+94Y0/bPj98AEOMDA4iOVwxB1adc4t39p85VkbKp9sRQ+GkzOCsYZgZMBhbEiyZDhhuBFRDSOcrFmnSamNCYI2n/6KxyM7G7ieRc3OhxKRWW9ROKjlZqCrliSsXz3JR26QHDg5wHBo0jptq5shV06eynufWCU9e0GGXmmV26flcCx07x6QlpxE3T27HJXseelig3RHXJflwMJBzKy1CY/r7vvNKLeQ3VyRwIto1OY5MtnmC/9iM3EyYMWoRSW0qPgmjyRnN2Z0pNkYbceh1fY5f2ObN7xoir//co05NyRMJLKjaMcw14ZmRxElMUIIXNfmxGTAcHWWwGoz0NjavHjrsl99/d+OfcHxjuvff/MPH9w/MoCHrgBIP/U/Pnv0V/+f//nZO297jX1ycvnfDoeTjQHLYtVSi3XL2ywdblKrzON7HaLIox25SKnw3ZjDJxP+6dYhOiJgxMFM3nI0ngueK/C8bAqzb76weqgZrCcM1mMu2xrheLP86Sc9ZjsVAss0ic+B1m0GJLJgkbnU9mbR5fy1O0RJZumplJL+ewM3pVyWDN7dOsqsuKDIzWbBa/QGnkoJUpk/oZU5JoXAtrKopTQKSZ5YZfoOKmzLtNVrRS0+8LmAG++psXV5Qugp01RT2WgkplmRNIqUbeE6Nm7k0IpcfN/n9S+e54v3zHN8JiB2IVaCqY6mnaSEjmRiHubaMVrDSMNFWz4Xn7N8enhs+W+/6k/u++w33nMl17z0RwPuHxnA8/XGX/55Vi35CFddNv8/5+bWObYXvv/A3kPDK0aOUKk2UWKWWx6Bdsdh1ZDN+LDP8ECK68R8/R6HHQfq+K5F3VEEhfUW+A4ErsR3jfWu+GTVQymBH+PasHZpQsXucKRVIc6cTkQ3ymkJIy/alsC2RabEGFAmqc6kRkWaUrJyucXM/sCCjeQ9wbs0pxA3VE51sg2TtXooaEXJukvZ29lKYyaXJakkScxMSTDvX2XcSUpIs6tTeQNblsJ1YtqtmL1HG8SJRbOTMtvMWlpLkNLGkjL7HCSOLXFs29Cbjkur7bN5VYtXXTrDx742iBQWAwFsXp2wfMkUc5HigR0VpmKXHYcihoaWcM45556yWurf7jvV+Z9/8zvnc81LX/ujhNyPFuAAV7/krQDMzsz+4zXX2vbEkW+994s33jB657cFjutw8/3DrKgGXL3V4uoLEkYH57GtmK/fX6WpKix1ISyB23NEwbl9zzITJ3xFGHTlRctKs3CyIsmLaemtCLIsA2rbkri2xLEFlhm2TpwokjQhSTVRYii3tAwMpTBJS1aujhdXg4zLZ/RCl1Sc8tUjD23nv1dcHbJglW3pLHhlfiFC0OpAOzJNKsFsTFfnsQHja6RWNlYw+9zNVcG0rLalGY3digWtjsJ3NY6Vj2AXOJbAtUUGcAvXtmnbDi3HI/ADXnZhm499pYMiZLAKl2wKuep8WDJyhFsemkepGvuPj7DhjMtPvOK6y//oJXH8j4ODAz9qqAHPA8DzVavXmJmb/fjg+FVicKn9nks6N41OtvYx4LpsXQNLhiWuo3GdDjfcY/HU8QZ136bhKpNK65YA7hjH0s/6lIeeJsxGjHtOguvERSdcSV5bmINRZOAGxzYKTL5hHMcoBVEsmJpNmZ4zyfrSErhFFBCsPH8ak9diZa/pZF3mCu4cQ6IhSXRWzQ7SMmRHCmE2oUXBvS2pC3XDtY3mrJWgE8PMSZNqalsCxxYo12xGmV2JHCUMp9bdgA6Yx2mqiFNFMxa0IxO0cW2TNejYAse2cByJY5tSs5ZtY9sK2/Zw5yusGku5/oWTfGebT5QIjp6SbNtTI/TbPLl3jka4mre84UUnxte88J0a9fFna1L/UwlwgHq1RqvZ+ofXXn9ZcvgQH/jUF24aPGM8ZrhhMVSHZSPzzHXm+fCXBjl+vMaKhqLmKwIXvAyMriNxXQNwo6RoM8AoG6HiuTGWTJiPBIm2TSKWKDW4zG45UFzXwnMlgS/MRvE1A9UIJed55ICDpSSNUKNdA2a7xJ8LZzVLG3CyGbXSMpFUpSDtKDpxilK6yPsQaCxhqtvLgSeTiqrxXEXgJdTDGEWH7+x02bHfp1ExuTu+a6G1Rd7s07bNjPdUiZ5MP6UkFpKqFxPrlGbi0IoFfqTxHJVtcIXjSNwo+2xjjRNJbMtGSA8BLBtK+Z1XN9m2Z45DE3WWjyScmHDZdbDBWetHGFr6ksmBJZf9QZI4/z0M3ecTYs8vwAGCMKATdz7VGHvBRFg7vv411/Ofdz75gLNitI3rTvLxm0MOHh1kzQAMVRSuY/JWTIAnA6Uj8VyRgVvje6oAd+DFpCrixrs9Ds+41L08rVb3gNu2BLZj6InvCSq+phoqBqoJG1fM0dKTnLptEKIQxzJdWG1pxnB0K2AyemKZcdNu5gg7TrdM7viphJn5NAOvxNVdSmLlTS6hSFm1LZNrHXoJIwPzdNQ0O4822P60x6alijTzD7rOocBJhAF4flOm90gUWwzVBddf1uSmRzvMRw4tVxDEGi8GN1bmFikixyKKzdUrciSyY6ZWx7FFqixWDlu86Wdm+O832uw/7rN0WBAMXhKftbzzjg1nn79b2tZXbfv5BTf8GAAcwHM8dWDf7ht+/zde7T7+xK7m8jH5Ed25Xfzjra689Z5BltcsBiqaim9csSjWmfwlskupxM1GGQauaUlRjBv3Okw3E7YfqBHHLm6Y89o8OStzKu3sdVyB75rGRdVAUa/EVMIOQ9U2ntPm1FxIKxZ4tiZ1Ss6coGtBM+vtuRld8lOGGxEn5zrc9pjN7JS5QgWe+d3cB3BUVy7MN4tRMxS+Z3KyZ+c6TM5rZtuS2VaaBXBKmzTb9F4iiFOROaOSREni1MK2bDavbDNUbTPTqjCfCIJIZPEE8BxF5Cg6scTPNkrePmJy1gY0cy2bgarLyy5o0onmeXhnqDadebFevnLT7wyPb/zk3v0nos2bfzi5Jd/t+t7r8X/Aa9Wa9Rw5ejQaGR371LlnrTrr0aNb/3R6/mwu2SBZu1QzVJOsHHMYH5Mcm0lRShQOkWOD52h8V5med143vF+rtLnlAYtH94Tm0mtl+eNW2bHMrgS2NGF/p0sLQj9Bk3D5OR2uOK9FW2k6iRlBnWrdo2nnWroBuLHeoa+oV2OWjswzPHCKE/NtDk8JZpuaVkcRxYo4ySyx6lbjQEalMh7u2CmWlXDXIxZ3b3NQWYP4Vgc6kSaKFFGiTPVTQgZuacCdSpLEIkksOpHDOWs1L79ohk4rZi4WNGNBK4ZWBO3YvKfcoU5S8zeNDs3w9PGIA0dtTk157Hna518ernHF1o383i+t/dNKY/VZo6Mjn5qcPBJt3rzh+YZTsX4sLHi+1q7bBNB623u+vPODf/7i9951073ufU9U37X7qYNWez5mdEjiBXN89b6UNaMOgWdh2zLLgVD4xYwg04g/8DpYToeZyKadeLiWxJOZ9ZbZmO8sd8W2JXaW1+I6Gs81vNR1TFT10d2SB5+wTDV4lvtRjAeBHqe1ALir8d2Eih9TDTr4zTadpMJMR9DsZHkztjYTx5S5Kd0btzT+gmlo71iKi8/qsHV9zPa90AkFUayIYpNzEyeKOJHEiSDOwNm9GQsepzaObVF3Y0hM2N2VEkea7r+eY65eaWo2ynxb0EgkIwPTHDiusKWL54K0JKPLVqYHJlf+p7f8un5v88jetDJ++fMNoQXrxwrg+frgO1/N7m2fSddveeOfHT46ZTdPffXffe6Gh73AVgwMNGlU6iwfsxkZgFPTxpp7jqbqJ9QrHYbqTSrBPLVKk1NTKQ/vqDAfOzQCk3XoZGm1ud5t2bKw4o6jM/VGGYcra/V7ahpOTVi94fVyHgv5RIecO2fgdVVWdG2cXaE1nUTQTgRRokgSsv4gmdauu6/dzUPptnBYMqQYa8Q8GkMnhSg1cmGUaLzEzJZPUp2BPLuPs5mTqSSObULf4pzNESODTU7OuRxPXVRqIYXCcxTVWGWRTMXRUwqVCtatqHJgSrK8Dtr2oXZe53Wvufavwtrwn7WTL/C2t7zm+YbNouvHEuAA67f8IhOTTQYHDr9Lj71YvkJtvuyJh2+UE/Pzl60dEfZZ62Im5pocORVm4wwVg40OwwOztOJZHtydcM6GCMdRzM6anGbXMtVDbiYJFreM6thZ2q3h6LlslmJbCZadmsaT/WlTohsSl9lkFSvnzpbCsVX2GmbQLVqRZMBMsluaZp2e0mw6Q9bgqDctwMh9aQo6TYmVJlLGOsep2SSmx4gyQ1RTiBNBlMjiFic2SWqilQM1CJ2UNWOTbF6v2bGvzuG5ANuW1AKjMo2PdTgy0+SxPQFLhgI2r7YT0sG7X/KSl6va0Kq7Hz/UeVenNYcXVJ/z9/qjXj+2AAcYGgzzH9/5Jx/8PEqcU7PVho++7KpDvzDS2ClvebBDp1OjXtGMDbVZNjLBXU+2+Nw3Q+7cXuGXr53nP/7mJC+6OOGmR1MkWXqtA66TA1xiZTTHtvJopnHsTPAjxbITLMd0VjU8W3dzRUotHIopyDIv2tXFfT7JGa1ItSZRGY/PGuAYepLfujPp8w1VTEZTEp2kJKkiSq0C3Gkqss2iSTPLHSXCqCCxUVDi2EJryVwTvnlvhSOTdd79m1P80rVz3L1jlk/fOsC9jw3iOxZLhxWBA+etm+frJ1yaepN62y8PfG7pmPWvm83HZitLL3i+4fGc1o81wMvrP7zttRzYv38WWfldS+1+avsOsWX18uTnpk8+zehAxGxrhn+6TXPDXUPsPVRlxaCLTAY5eDig054GYXrq+7bOop8mQOTYElsKLCuXDruRw9yKa1JmW5JIWUbuK6AnFuaNlKy4zEq3cnDn2SiKLo8vaEnRr6/Ub1CXf850bCEJA1MtE6WWAXW+SUpcPkkhSqATmU3sRRbt2DiaGoH0XJYPV6BT4fDxFi884zij1Xm+tESxY1+dI6cEew8Jzjv3PC65OPziWeddtq0yvPKvD021ZleuWv18w+E5r58YgAOsWr0a4OS+/Yf/5LyL3rwa90kmjj/1c6sG7uQjX2px/5MjvOIyzZbVTY4dcVk66DDfDoiSeRwpCF2dTWU2Ocu+ZwBelLgVINXF6HHfTZiZU/zLgx4npl0a4cI+5D1NfkTeJk4XDqIgnxef9ebLMwKV6dKqlSgUmfx4uYhYZdmDndhisAGXX9Di5kc7tCKXOMgBXj7fgDyOBS0EQkocy8J3bdqRi5c6WJZF1RMcP+lw9KTk/p01JmdCfumqJneMHOcrd25gwxkXsOmMTV+8/EWb39Zpz++vD4493xD4rtdPFMDztWb1OPsPndq/cdOZf9Be5n9qtDHy+8se3nvV1c5BrthykH/ZpohqFr4ncO2YwJcM+BYDPqYlRWhRqzoErgmsdNsd5KDNqYXJoe4kCScmQpLIwan1tofr6ZQlRbddRfF8L7jzn3K9uwvy3ILnLdK6wM4teJJKPMdi6WCEJyJmUlMjmSid/R0UerzAxAs6kWl7J4XEcWxm5j2kHdJuC+IkpR1ZnJq2mZi1+db9ilVjK7juqiUsX3/+7RtWD/71uk1rHk2jeH+9sez5/tq/p/UTCXCA1SuGAZ6KlX7KElu3bVx7+7KLX3re3+898MiG/UefsM5aAb6rODWreOqQy1BgsWRAUA1Nz5WRhmRkIOHEZMqRUzaOZfdl32lcO8WxY544AE8eCbA8WcwE6q26759/qYtNAHRL4bNVLiaGHMiGnuTWWBWtIbr530pJ2m2HTcs6rF/e4u5dik7WD7Csx9uWoF4RHJuIOTGZMtywcSyTNHVUBlhWlY3jczzeiJlv22zfpznvjCorX3tOunHDOU8tXTL3lrMvvPoIsPPZunf9uK+fWIDnyzHVxTuTzuTONE1e1kzs5X/89ks/99ST36ofPXq8MtlMOHTcY9Wwy9YNmoPHNK4jWTaaMD52ij1HFZMzIwzWs+kGZgwZtmWioXEScfP9HtsOVKkEEkt0LbHooTXdIbF56Rt0+XO3wRylSW/ZOWQ53lr38XC6ZlmbPO9Wx2HTSsHPXDzHQ/vazEcVklLiV269hxsp7WSS+3fZxEnAYF2SKMUDOyzStMb4cIzvxywZHWLJsvH5i664ekaKzuvccPXTTWntH/kJB3a+fuIBXvwh3iBa6/2XXDhyUCXTZ3v2NZdedHH60RMnHq9uXXdwwNNTXLTlCPu/EeBYDmODHaZbbW5+aIDzV8FgzSRqt9oCVRd4bkqt2uSJQzFfuH0EiU9om0LfNEuc6vbvE5k0mN2y1FadgTLN1Y/MNTXdt3S3sb829CSX+kzHqFI+t1RYWUFDJ3JRyufnr5rnlrumuH+fRzM0TeR9T6LRTM0ltDoWV52fctcOOD6lWB+lCNnkOztSLNng/LPXz/7CK9dOnL3pHLsaWm+uD629Z9lodTpKUJ7z0wFu+DEK1f8gVkYX1PR0Z3J4ZOU3nPiRNRvOeN2/++03v/nxV1+35aHtx1c+7Pgj7fElAYHXZN/hNoG0WDYiWLF0msnmFKdmDLWwrDbffEjxoc8PsOdYSL0iGAkUvqdppoJO0i0Zk1m4v0iuss1rJKkgTizi2CZJ7WwciIVr5VFMsgY7WbAmzkPtOqvKMXTHBIoimh3B7HzA1GzAilHBW187wc9cdILIjIJiqGEx0GhzaGKewyeg03FZt3SO+U5EK/EYagy2X3X14MND4xc+fvnVb/pP7/+7j62vVuublo+Pf0NFc5NCiJ8qcMNPkQUvr6GRJQBqvpkihPy460afsG3JqvELrTPXNT4yNtjapDqPXbH90F6rUfHYsDLh5Ow8D+yosmW1IPRj7no85j/90zKWDdtce+EsT+xKWDfmc+GWFjc/nDAzGQAmn8WkqAoCVzFYT5BC04kFnchCCHBsh07kmJEdQuLZmkqW0+46hta0OppODI6VUgmsLAhk6E3gRRyenOfW+8a47AwP329yz/Ya48MVPvBbbf7jp2c5eGCQ0INNaxN2He6w50iVyxOfay+KsNyN6XlbN9+5ek24c2R++q2P7EpSx/W57fOf1uPLVzWf7+/rh7l+KgGer0pY9BbNiXMStaf+tZThYBKd/Ze/HH/WveGmdrp8hbzgwMngwkalg2dHtKNZbrjHYUUj4HWXCyZbFnv2JKwYtbn8LMlcZ5qbv+Ph2RaBJ4v/olZJCfxZHtptE9pVlg5p5lsm2jg66BGnDpYUVD3NUBVcx4T+x4YEftDk0d0WfstleMC8YrMt6MQSpVMe2KH5zraA5YM2G1cJtj1V4+TEUl77oibXXXySv9vvMTkdIkWN884a5fDx+gPzcfvB4+111m/92muilePj/77Vak0uGa0D8Pbffr6/nR/N+qkG+GLL9QcAJoHfBnjiia/jOlx1NOGlP/Oi6HXjg53NtnOC6bk9bF1rUfU7HJ1OEaRUfQUCZpoWjoSBmsXIoGDnoQjf9RhuxDz5dIub76ty5VmaStBm+37J2qUe4yMuSWrjSEHdF4yP2KxZ3mHn/pTheoXLzk+YSzrs3uNz9jrN+Og8Ow/YBJ5FktrUQhPdnJpVzDYhjhNm5mDvkWHOO1Pwc9edy9LBITat93ece5H83LYD4U2OpW//nZf+DPD25/tjf97W/3UA719nnXU9wO2nJiZvB+6QJOtPTpxQ65dPqfO2jK49b0vjj8TOp7g6CVgyNI3vHOXwCRuVpniuZmgw4sCjMUsaDqHfph1pAtumFkDKHI/vlwS2R6tjo7SFJQSBB0uGbc7ZcJLdhwVzrSqdToDrzDLbSvFcydKRCe56tMpQLaTV0oSe5MR0E2Etw6lcwLLxiLUbzqAezLx3vu3tffV1L5L16ogMAmc36G9sPnvw+f5ofyzW//UAz9fw0CDAN/LHM9MnsSxvoN08ePdUS9PRXnzBpvrbVy/b+pLffZPFwWMWh/Y8RL06wWDDpVELCIIOjXCOoUqKJRPOWNFm0wrN1FwNQRvBHO3IIm0H+A48/JTioV02F6xrc/QkxJGD5zkgfFJVQwmfwaEhxtdfjRwW/M6vS9Yv9W6uNGY/ML48cVau3MLmdctub7aiqWXLfvKijD+K9f8D/DSr3hgBmAK+DHDq5DE0bA+81pKLakKtntJ89cQuHGeGWuAQ+A6Bm8SVwZf8+TVXJK9MdRI7tdWcd05KEtcYXjbN1Pww11/tMzk5xJp1PpFo81IkZ69SeF7FecMW5ytvf89Df46wnVQHWLZNGFYZWbqVcNBhyTIt66F7TKP3vnbrT2Zk8Ue9fro0oed5ffbLd6G1WBJaxxonplt63TLN0YkUx/LZsmGGkzOTbN9nc2JikC1rQnBijp8SrFsa0Y7r4uKto9NKc2xk+RXP95/yU7P+D5Uatv8vTseJAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjM4OjU3KzAwOjAwg54BnQAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODozODo1NyswMDowMPLDuSEAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 33090000
    {'hecke_orbit_code': 343731601484, 'n': 1, 'trace_an': 136}
  • id: 33090001
    {'hecke_orbit_code': 343731601484, 'n': 2, 'trace_an': -3}
  • id: 33090002
    {'hecke_orbit_code': 343731601484, 'n': 3, 'trace_an': 0}
  • id: 33090003
    {'hecke_orbit_code': 343731601484, 'n': 4, 'trace_an': -27}
  • id: 33090004
    {'hecke_orbit_code': 343731601484, 'n': 5, 'trace_an': -2}
  • id: 33090005
    {'hecke_orbit_code': 343731601484, 'n': 6, 'trace_an': 309}
  • id: 33090006
    {'hecke_orbit_code': 343731601484, 'n': 7, 'trace_an': 0}
  • id: 33090007
    {'hecke_orbit_code': 343731601484, 'n': 8, 'trace_an': 0}
  • id: 33090008
    {'hecke_orbit_code': 343731601484, 'n': 9, 'trace_an': -45540}
  • id: 33090009
    {'hecke_orbit_code': 343731601484, 'n': 10, 'trace_an': -19464}
  • id: 33090010
    {'hecke_orbit_code': 343731601484, 'n': 11, 'trace_an': 0}
  • id: 33090011
    {'hecke_orbit_code': 343731601484, 'n': 12, 'trace_an': 0}
  • id: 33090012
    {'hecke_orbit_code': 343731601484, 'n': 13, 'trace_an': -10602}
  • id: 33090013
    {'hecke_orbit_code': 343731601484, 'n': 14, 'trace_an': 13602}
  • id: 33090014
    {'hecke_orbit_code': 343731601484, 'n': 15, 'trace_an': 0}
  • id: 33090015
    {'hecke_orbit_code': 343731601484, 'n': 16, 'trace_an': 6525}
  • id: 33090016
    {'hecke_orbit_code': 343731601484, 'n': 17, 'trace_an': -23974}
  • id: 33090017
    {'hecke_orbit_code': 343731601484, 'n': 18, 'trace_an': 0}
  • id: 33090018
    {'hecke_orbit_code': 343731601484, 'n': 19, 'trace_an': 0}
  • id: 33090019
    {'hecke_orbit_code': 343731601484, 'n': 20, 'trace_an': -91316}
  • id: 33090020
    {'hecke_orbit_code': 343731601484, 'n': 21, 'trace_an': 54264}
  • id: 33090021
    {'hecke_orbit_code': 343731601484, 'n': 22, 'trace_an': 381}
  • id: 33090022
    {'hecke_orbit_code': 343731601484, 'n': 23, 'trace_an': 0}
  • id: 33090023
    {'hecke_orbit_code': 343731601484, 'n': 24, 'trace_an': -51631}
  • id: 33090024
    {'hecke_orbit_code': 343731601484, 'n': 25, 'trace_an': -937502}
  • id: 33090025
    {'hecke_orbit_code': 343731601484, 'n': 26, 'trace_an': 172188}
  • id: 33090026
    {'hecke_orbit_code': 343731601484, 'n': 27, 'trace_an': 0}
  • id: 33090027
    {'hecke_orbit_code': 343731601484, 'n': 28, 'trace_an': -165428}
  • id: 33090028
    {'hecke_orbit_code': 343731601484, 'n': 29, 'trace_an': -6}
  • id: 33090029
    {'hecke_orbit_code': 343731601484, 'n': 30, 'trace_an': -454352}
  • id: 33090030
    {'hecke_orbit_code': 343731601484, 'n': 31, 'trace_an': 0}
  • id: 33090031
    {'hecke_orbit_code': 343731601484, 'n': 32, 'trace_an': 573507}
  • id: 33090032
    {'hecke_orbit_code': 343731601484, 'n': 33, 'trace_an': -182106}
  • id: 33090033
    {'hecke_orbit_code': 343731601484, 'n': 34, 'trace_an': -629706}
  • id: 33090034
    {'hecke_orbit_code': 343731601484, 'n': 35, 'trace_an': 0}
  • id: 33090035
    {'hecke_orbit_code': 343731601484, 'n': 36, 'trace_an': -277130}
  • id: 33090036
    {'hecke_orbit_code': 343731601484, 'n': 37, 'trace_an': 0}
  • id: 33090037
    {'hecke_orbit_code': 343731601484, 'n': 38, 'trace_an': -759906}
  • id: 33090038
    {'hecke_orbit_code': 343731601484, 'n': 39, 'trace_an': 0}
  • id: 33090039
    {'hecke_orbit_code': 343731601484, 'n': 40, 'trace_an': -627504}
  • id: 33090040
    {'hecke_orbit_code': 343731601484, 'n': 41, 'trace_an': -1873020}
  • id: 33090041
    {'hecke_orbit_code': 343731601484, 'n': 42, 'trace_an': 332080}
  • id: 33090042
    {'hecke_orbit_code': 343731601484, 'n': 43, 'trace_an': 0}
  • id: 33090043
    {'hecke_orbit_code': 343731601484, 'n': 44, 'trace_an': -358069}
  • id: 33090044
    {'hecke_orbit_code': 343731601484, 'n': 45, 'trace_an': 321240}
  • id: 33090045
    {'hecke_orbit_code': 343731601484, 'n': 46, 'trace_an': 0}
  • id: 33090046
    {'hecke_orbit_code': 343731601484, 'n': 47, 'trace_an': 0}
  • id: 33090047
    {'hecke_orbit_code': 343731601484, 'n': 48, 'trace_an': -7221687}
  • id: 33090048
    {'hecke_orbit_code': 343731601484, 'n': 49, 'trace_an': -15750664}
  • id: 33090049
    {'hecke_orbit_code': 343731601484, 'n': 50, 'trace_an': 0}
  • id: 33090050
    {'hecke_orbit_code': 343731601484, 'n': 51, 'trace_an': 0}
  • id: 33090051
    {'hecke_orbit_code': 343731601484, 'n': 52, 'trace_an': 2848050}
  • id: 33090052
    {'hecke_orbit_code': 343731601484, 'n': 53, 'trace_an': -1027650}
  • id: 33090053
    {'hecke_orbit_code': 343731601484, 'n': 54, 'trace_an': 4352085}
  • id: 33090054
    {'hecke_orbit_code': 343731601484, 'n': 55, 'trace_an': 0}
  • id: 33090055
    {'hecke_orbit_code': 343731601484, 'n': 56, 'trace_an': 0}
  • id: 33090056
    {'hecke_orbit_code': 343731601484, 'n': 57, 'trace_an': -137426}
  • id: 33090057
    {'hecke_orbit_code': 343731601484, 'n': 58, 'trace_an': 10387724}
  • id: 33090058
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  • id: 33090059
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  • id: 33090060
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  • id: 33090061
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  • id: 33090062
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  • id: 33090063
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  • id: 33090064
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  • id: 33090065
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  • id: 33090066
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  • id: 33090067
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  • id: 33090068
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  • id: 33090069
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  • id: 33090070
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  • id: 33090071
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  • id: 33090072
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  • id: 33090073
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  • id: 33090074
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  • id: 33090075
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  • id: 33090076
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  • id: 33090077
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  • id: 33090078
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  • id: 33090079
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  • id: 33090080
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  • id: 33090081
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  • id: 33090082
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  • id: 33090083
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  • id: 33090084
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  • id: 33090085
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  • id: 33090086
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  • id: 33090087
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  • id: 33090088
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  • id: 33090089
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  • id: 33090090
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  • id: 33090091
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  • id: 33090092
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  • id: 33090093
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  • id: 33090094
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  • id: 33090095
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  • id: 33090096
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  • id: 33090097
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  • id: 33090098
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  • id: 33090099
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  • id: 33090100
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  • id: 33090101
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  • id: 33090102
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  • id: 33090103
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  • id: 33090104
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  • id: 33090105
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  • id: 33090106
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  • id: 33090107
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  • id: 33090108
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  • id: 33090109
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  • id: 33090110
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  • id: 33090111
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  • id: 33090112
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  • id: 33090113
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  • id: 33090114
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  • id: 33090115
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  • id: 33090116
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  • id: 33090117
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  • id: 33090118
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  • id: 33090119
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  • id: 33090120
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  • id: 33090121
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  • id: 33090122
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  • id: 33090123
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  • id: 33090124
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  • id: 33090125
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  • id: 33090126
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  • id: 33090127
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  • id: 33090128
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  • id: 33090129
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  • id: 33090130
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  • id: 33090131
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  • id: 33090132
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  • id: 33090133
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  • id: 33090134
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  • id: 33090135
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  • id: 33090136
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  • id: 33090137
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  • id: 33090138
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  • id: 33090139
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  • id: 33090140
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  • id: 33090141
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  • id: 33090142
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  • id: 33090143
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  • id: 33090144
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  • id: 33090145
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  • id: 33090146
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  • id: 33090147
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  • id: 33090148
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  • id: 33090149
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  • id: 33090150
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  • id: 33090151
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  • id: 33090152
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  • id: 33090153
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  • id: 33090154
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  • id: 33090155
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  • id: 33090156
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  • id: 33090157
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  • id: 33090158
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  • id: 33090159
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  • id: 33090160
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  • id: 33090161
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  • id: 33090162
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  • id: 33090163
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  • id: 33090164
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  • id: 33090165
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  • id: 33090166
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  • id: 33090167
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  • id: 33090168
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  • id: 33090169
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  • id: 33090170
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  • id: 33090171
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  • id: 33090172
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  • id: 33090173
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  • id: 33090175
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  • id: 33090176
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  • id: 33090177
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  • id: 33090179
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  • id: 33090180
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  • id: 33090181
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  • id: 33090183
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  • id: 33090189
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  • id: 33090190
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  • id: 33090191
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  • id: 33090192
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  • id: 33090193
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  • id: 33090195
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  • id: 33090196
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  • id: 33090200
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  • id: 33090201
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  • id: 33090202
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  • id: 33090203
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  • id: 33090204
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  • id: 33090205
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  • id: 33090206
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  • id: 33090207
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  • id: 33090208
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  • id: 33090209
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  • id: 33090210
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  • id: 33090211
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  • id: 33090212
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  • id: 33090213
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  • id: 33090214
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  • id: 33090215
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  • id: 33090217
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  • id: 33090218
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  • id: 33090219
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  • id: 33090220
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  • id: 33090224
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  • id: 33090248
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  • id: 33090250
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  • id: 33090251
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  • id: 33090254
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  • id: 33090255
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  • id: 33090256
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  • id: 33090258
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