Embedded newform data - 1323.4.a.ba.1.2

Formats: - HTML - YAML - JSON - 2024-10-05T18:40:02.853098

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 21168, 'analytic_conductor': 78.05952693759484, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [7, -1]], 'atkin_lehner_string': '--', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1323, 1, [785, 1081], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 4225, 'field_disc_factorization': [[5, 2], [13, 2]], 'field_poly': [4, 0, -9, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [64, 0, -29, 0, 1]], [5, [27889, 0, -386, 0, 1]], [13, [-4976, -34, 1]]], 'hecke_orbit': 27, 'hecke_orbit_code': 117093590378743083, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 36, 'hecke_ring_index_factorization': [[2, 2], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1323.4.a.ba', 'level': 1323, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '189.4.a.l', 'nf_label': '4.4.4225.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-\\beta _{1}-\\beta _{2})q^{2}+(6-\\beta _{3})q^{4}+(4\\beta _{1}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1323.4.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1980092263717919319, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.063', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.790', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.903', 'prec': 17}, {'__RealLiteral__': 0, 'data': '70.311', 'prec': 20}, {'__RealLiteral__': 0, 'data': '69.557', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1805.001', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [4, 0, 0, 26, 0, 0, 0, 0, 0, -206, 0, 0, 68, 0, 0, 290, 0, 0, -172, 0, 0, -94, 0, 0, 272, 0, 0, 0, 0, 0, -408, 0, 0, -180, 0, 0, 1320, 0, 0, -1446, 0, 0, 116, 0, 0, 1374, 0, 0, 0, 0, 0, 3952, 0, 0, -352, 0, 0, -1432, 0, 0, 2672, 0, 0, 826, 0, 0, 1444, 0, 0, 0, 0, 0, 396, 0, 0, 1222, 0, 0, 1220, 0, 0, 3590, 0, 0, 720, 0, 0, -6294, 0, 0, 0, 0, 0, 3492, 0, 0, 624, 0, 0, 6448, 0, 0, -1304, 0, 0, -5256, 0, 0, 720, 0, 0, 0, 0, 0, -3468, 0, 0, -4932, 0, 0, 6488, 0, 0, 3198, 0, 0, -516, 0, 0, -14032, 0, 0, 0, 0, 0, -900, 0, 0, -6288, 0, 0, 2766, 0, 0, 4844, 0, 0, 12090, 0, 0, 1640, 0, 0, 0, 0, 0, 4436, 0, 0, -12142, 0, 0, 7060, 0, 0, 5160, 0, 0, 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• 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

  
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-0.22099702001237967, -0.30887645072097647, -0.22929480576357528, -0.12432638006306662, -0.23544895055991324, -0.13965750874302252, -0.2760249611106384, -0.22404729309414426, -0.14180022810511378, -0.2566779340486518, -0.12201828032671423, -0.3475810135561897, -0.16848614136352527, -0.08640429902764714, -0.0634754309473884, -0.3711971564768756, -0.2937456739729806, -0.15680664072444284, -0.3011000643824435, -0.17908218409131568, -0.28445207745720635, -0.3202660509544179, -0.18803539451599455, -0.33778599237842977, -0.3056189595029038, -0.11652593506377865, -0.28876428704062523, -0.13951443332372757, -0.23712895725502947, -0.1626583327955172, -0.22465934592025102, -0.13563943483280314, -0.09465052535021115, -0.26528589661149793, -0.273251051273167, -0.12188960070652538, -0.16167950897800995, -0.37559019093913415, -0.3531229254351429, -0.3307684683525612, -0.2708427722222397, -0.30428893919934497, -0.17487164659047497, -0.39057152136600604, -0.16844181699762703, -0.21653262877439386, -0.17825655060604806, -0.20581061153948144, -0.23608799657523732, -0.2935584999906028, -0.3667954179553468, -0.17454820138330981, -0.17691244846292514, -0.35474581503384134, -0.22933623745452356, -0.40778188749183936, -0.22682128891435213, -0.2260732329461551, -0.4560589743819315, -0.41775861903779576, -0.10383794797983531, -0.24204519773088493, -0.09049669680226259, -0.15841405699692243, -0.25850558978475213, -0.16136626935753282, -0.19693919090156012, -0.2865372238704271, -0.29890074289434987, -0.20889559683669937, -0.057093994303289014, -0.1787647624783942, -0.23733852906141745, -0.27270574367422795, -0.16890700002729558, -0.3048300877227869, -0.3418284757558238, -0.33615456419518336, -0.3578161384228342, -0.25241618444255554, -0.42345480767793325, -0.4566030392603181, -0.20570107274293262, -0.32332153151192755, -0.10421100590982808, -0.27456354425549634, -0.1737196847950197, -0.07259478676291556, -0.3094886145227491, -0.13168221543258482, -0.28395906050449404, -0.2149490966512374, -0.27086343879352737, -0.3105509098398168, -0.24756435333248852, -0.1618807020552169, -0.38168921147289997, -0.13541779454711925, -0.2833233105653283, -0.16448031675020325, -0.19863274690899893, -0.19371660004446176, -0.2301156094964138, -0.1783019175138379, -0.34189790657729197, -0.3485417336397508, -0.29372946579953024, -0.22273794520777987, -0.2763159886994893, -0.3563324284010677, -0.32737151183319574, -0.2653217213578354, -0.284651565175619, -0.2611895326097372, -0.2890180712869821, -0.12712349097932787, -0.24472206365124222, -0.2550883510604211, -0.2948644581797326, -0.11088278536350024, -0.21901523645789395, -0.30824600592121126, -0.26983059895467343, -0.09379277253352522, -0.19391008582309466, -0.10318827865594075, -0.23977179656267208, -0.25850249524254143, -0.23228060451360197, -0.27073370157048005, -0.235062048574481, -0.28322399678565807, -0.38279549284887904, -0.39560012355561947, -0.33512042947784354, -0.20284546562783473, -0.16748477775085852, -0.3220192760223701, -0.2371301957246497, -0.24832707163895182, -0.37231261863358156, -0.22707868062119393, -0.2345051919786381, -0.0785300452981735, -0.18488667658654828, -0.4015718517389918, -0.2325171689449245, -0.11835767291098225, -0.3155564779175738, -0.15049566271732995, -0.26651080851465686, -0.17172453501242615, -0.33855585565635776, -0.1538526090288913, -0.17228703992971514, -0.15870546381791473, -0.08668644355043724, -0.4247164615830583, -0.38876807124493573, -0.3467320580001807, -0.1659027865376884, -0.3659764066517763, -0.18554888779386786, -0.18888254885811012, -0.3434522050697298, -0.12412246053137317, -0.3280638279689911, -0.19942355213297186, -0.22011576725492132, -0.12064440983614079, -0.17666798534755856, -0.1453237881358237, -0.28871196130447524, -0.3283886463196454, -0.11798913609998671, -0.2186088335239695, -0.22961543763077485, -0.2184543147869529, -0.19862169153672357, -0.3641803791898352, -0.2470991670651683, -0.28458495255508326, -0.2647975607029127, -0.31307031676705704, 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-0.3048630806794617, -0.1937319393376114, -0.35553450959986405, -0.21027111457726028, -0.221348996195942, -0.11767249608407646, -0.21485391785495964, -0.20753914097060397, -0.3217088875029981, -0.29770355282469246, -0.3578601847811183, -0.23783606413055772, -0.22171288891758575, -0.16531856070981366, -0.24656725177326633, -0.14989284783586684, -0.2620224326284508, -0.13124503168439045, -0.23514189035519015, -0.2742019742347536, -0.2228060951017223, -0.137537603236697, -0.16641136272349874, -0.2967502994626611, -0.23649312714575949, -0.16986538142288785, -0.1327059751210979, -0.24812179997786873, -0.24801768088581322, -0.15928148930366345, -0.3138442798681828, -0.39120987303633153, -0.22835703042343267, -0.24167286416135642, -0.36546746678943026, -0.37061204307127743, -0.14100660334117446, -0.14852553413851072, -0.1618399545471914, -0.3422644511727971, -0.4734084756514394], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 2.9208096264818897, 'hecke_orbit': 27, 'hecke_orbit_code': 117093590378743083, 'label': '1323.4.a.ba.1.2', 'level': 1323, 'weight': 4}
• 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

  
  {'ALdims': [41, 40, 39, 44], 'Nk2': 21168, 'analytic_conductor': 78.05952693759484, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1323, 1, [785, 1081], [1, 1]], 'conrey_index': 1, 'cusp_dim': 480, 'dim': 164, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5, 13], 'hecke_orbit_code': 67110187, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 12, 12], 'label': '1323.4.a', 'level': 1323, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 528, 'mf_new_dim': 164, 'num_forms': 43, 'plus_dim': 85, 'prim_orbit_index': 1, 'relative_dim': 164, 'sturm_bound': 672, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [164, 0, 0, 662, 0, 0, 0, 0, 0, -30, 0, 0, -2, 0, 0, 2810, 0, 0, -62, 0, 0, -270, 0, 0, 4202, 0, 0, 0, 0, 0, 406, 0, 0, -204, 0, 0, -338, 0, 0, -1266, 0, 0, 592, 0, 0, -1224, 0, 0, 0, 0, 0, 220, 0, 0, 1122, 0, 0, 300, 0, 0, 2410, 0, 0, 12302, 0, 0, 1222, 0, 0, 0, 0, 0, 1540, 0, 0, 2128, 0, 0, -2486, 0, 0, 1104, 0, 0, -720, 0, 0, -8730, 0, 0, 0, 0, 0, 1704, 0, 0, -3056, 0, 0, 15740, 0, 0, -5606, 0, 0, 510, 0, 0, 1096, 0, 0, 0, 0, 0, -6660, 0, 0, 3900, 0, 0, 22898, 0, 0, 18382, 0, 0, -12038, 0, 0, 17724, 0, 0, 0, 0, 0, 8328, 0, 0, -6662, 0, 0, 36, 0, 0, -6780, 0, 0, -6332, 0, 0, -3068, 0, 0, 0, 0, 0, 6172, 0, 0, -18786, 0, 0, -10142, 0, 0, -2730, 0, 0, 27090, 0, 0, 10744, 0, 0, 0, 0, 0, -9588, 0, 0, 4102, 0, 0, -6864, 0, 0, 18816, 0, 0, 11568, 0, 0, 1384, 0, 0, 0, 0, 0, -12992, 0, 0, -11118, 0, 0, 36780, 0, 0, -7640, 0, 0, -5594, 0, 0, -5874, 0, 0, 0, 0, 0, 17802, 0, 0, -19736, 0, 0, -39420, 0, 0, -9536, 0, 0, 32784, 0, 0, 5388, 0, 0, 0, 0, 0, -3182, 0, 0, 66628, 0, 0, -17110, 0, 0, 11214, 0, 0, 16716, 0, 0, 49250, 0, 0, 0, 0, 0, 33786, 0, 0, 34050, 0, 0, 29032, 0, 0, -8936, 0, 0, -1020, 0, 0, -15020, 0, 0, 0, 0, 0, 8284, 0, 0, -93816, 0, 0, 33788, 0, 0, -9206, 0, 0, 39252, 0, 0, 54222, 0, 0, 0, 0, 0, 13492, 0, 0, 45856, 0, 0, 726, 0, 0, 35104, 0, 0, -94892, 0, 0, 2160, 0, 0, 0, 0, 0, 32866, 0, 0, 9876, 0, 0, 18838, 0, 0, -33672, 0, 0, -41558, 0, 0, -63024, 0, 0, 0, 0, 0, -51138, 0, 0, -62858, 0, 0, -141486, 0, 0, 20280, 0, 0, 6126, 0, 0, 75570, 0, 0, 0, 0, 0, -38192, 0, 0, 50496, 0, 0, -58166, 0, 0, -12972, 0, 0, -53918, 0, 0, -40968, 0, 0, 0, 0, 0, 23710, 0, 0, 20472, 0, 0, 110634, 0, 0, -9692, 0, 0, 137360, 0, 0, -56992, 0, 0, 0, 0, 0, 16576, 0, 0, -185516, 0, 0, -104970, 0, 0, 8436, 0, 0, 15718, 0, 0, -24570, 0, 0, 0, 0, 0, -49440, 0, 0, 103330, 0, 0, -44276, 0, 0, 5446, 0, 0, -165060, 0, 0, -152748, 0, 0, 0, 0, 0, -25452, 0, 0, 84840, 0, 0, -24626, 0, 0, -58476, 0, 0, -114416, 0, 0, -135852, 0, 0, 0, 0, 0, -25080, 0, 0, -143030, 0, 0, 19344, 0, 0, 53426, 0, 0, 242348, 0, 0, 57874, 0, 0, 0, 0, 0, 37560, 0, 0, 233782, 0, 0, -8456, 0, 0, 9780, 0, 0, -79494, 0, 0, 4750, 0, 0, 0, 0, 0, 68424, 0, 0, -17508, 0, 0, 423948, 0, 0, -75506, 0, 0, 23544, 0, 0, 46412, 0, 0, 0, 0, 0, -4998, 0, 0, -182160, 0, 0, -137306, 0, 0, 61824, 0, 0, -145982, 0, 0, 164040, 0, 0, 0, 0, 0, -186740, 0, 0, 133376, 0, 0, -107436, 0, 0, 28596, 0, 0, -84048, 0, 0, -7106, 0, 0, 0, 0, 0, -98954, 0, 0, 62700, 0, 0, 38802, 0, 0, -52776, 0, 0, 39656, 0, 0, -2840, 0, 0, 0, 0, 0, 93960, 0, 0, -196706, 0, 0, -159410, 0, 0, -46022, 0, 0, 273084, 0, 0, 129226, 0, 0, 0, 0, 0, -58298, 0, 0, 153384, 0, 0, 181328, 0, 0, 139624, 0, 0, 18016, 0, 0, 73614, 0, 0, 0, 0, 0, 178038, 0, 0, 47728, 0, 0, 56112, 0, 0, 6360, 0, 0, 20740, 0, 0, -121818, 0, 0, 0, 0, 0, 51286, 0, 0, -146070, 0, 0, -112920, 0, 0, -137004, 0, 0, 198904, 0, 0, -115206, 0, 0, 0, 0, 0, 128778, 0, 0, 191532, 0, 0, -27608, 0, 0, 75448, 0, 0, -293166, 0, 0, 142584, 0, 0, 0, 0, 0, -22, 0, 0, 36888, 0, 0, 269818, 0, 0, -194820, 0, 0, -87312, 0, 0, -276012, 0, 0, 0, 0, 0, -232388, 0, 0, -163526, 0, 0, 50478, 0, 0, 25096, 0, 0, -161424, 0, 0, 131548, 0, 0, 0, 0, 0, -174138, 0, 0, 205200, 0, 0, 228460, 0, 0, 94248, 0, 0, 9142, 0, 0, 150120, 0, 0, 0, 0, 0, 62196, 0, 0, 66784, 0, 0, -572798, 0, 0, -103784, 0, 0, -390330, 0, 0, -88368, 0, 0, 0, 0, 0, 177622, 0, 0, -264972, 0, 0, -62086, 0, 0, -310670, 0, 0, 278808, 0, 0, -153996, 0, 0, 0, 0, 0, -205014, 0, 0, 56644, 0, 0, -509856, 0, 0, 52184, 0, 0, 85308, 0, 0, -32720, 0, 0, 0, 0, 0, -17390, 0, 0, -30320, 0, 0, 219900, 0, 0, 154188, 0, 0, 150980, 0, 0, -524924, 0, 0, 0, 0, 0, -94392, 0, 0, 51838, 0, 0, -120534, 0, 0, -29294, 0, 0, -193980, 0, 0, 1878, 0, 0, 0, 0, 0, 209966, 0, 0, 31104, 0, 0, 44314, 0, 0, 381954, 0, 0, 206254, 0, 0, -30648, 0, 0, 0, 0, 0, 234088, 0, 0, 31422, 0, 0, 84852, 0, 0, -150144, 0, 0, -311568, 0, 0, -99266, 0, 0, 0, 0, 0, 9246, 0, 0, -214148, 0, 0, -14018, 0, 0, 17346, 0, 0, 232078, 0, 0, 132924, 0, 0, 0, 0, 0, -252894, 0, 0, 163972, 0, 0, -350304, 0, 0, 273792, 0, 0, -247800, 0, 0, -111262, 0, 0, 0, 0, 0, -361080, 0, 0, -86280, 0, 0, 157626, 0, 0, -84224, 0, 0, -12404, 0, 0, 334638, 0, 0, 0, 0, 0, 293704, 0, 0, -206436, 0, 0, -317442, 0, 0, -79830, 0, 0, 148448, 0, 0, 155632, 0, 0, 0, 0, 0, -31316, 0, 0, -112110], 'weight': 4, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 48627439
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590378743083, 'source_is_minimal': False, 'source_label': '1323.4.a.ba.1.2', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117093590378743083, 'target_is_minimal': False, 'target_label': '1323.4.a.ba.1.2', 'target_level': 1323, 'twist_class_label': '189.4.a.l.1.2', 'twist_class_level': 189, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48627440
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590378743083, 'source_is_minimal': False, 'source_label': '1323.4.a.ba.1.2', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 117093590378743083, 'target_is_minimal': False, 'target_label': '1323.4.a.ba.1.3', 'target_level': 1323, 'twist_class_label': '189.4.a.l.1.2', 'twist_class_level': 189, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 48627441
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590378743083, 'source_is_minimal': False, 'source_label': '1323.4.a.ba.1.2', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539595968184509, 'target_is_minimal': True, 'target_label': '189.4.a.l.1.2', 'target_level': 189, 'twist_class_label': '189.4.a.l.1.2', 'twist_class_level': 189, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 48627442
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 117093590378743083, 'source_is_minimal': False, 'source_label': '1323.4.a.ba.1.2', 'source_level': 1323, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 49539595968184509, 'target_is_minimal': True, 'target_label': '189.4.a.l.1.3', 'target_level': 189, 'twist_class_label': '189.4.a.l.1.2', 'twist_class_level': 189, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1863975
    {'charpoly_factorization': [[[64, 0, -29, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 2}
  • id: 1863976
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 117093590378743083, 'p': 3}
  • id: 1863977
    {'charpoly_factorization': [[[27889, 0, -386, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 5}
  • id: 1863978
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 117093590378743083, 'p': 7}
  • id: 1863979
    {'charpoly_factorization': [[[4592449, 0, -5906, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 11}
  • id: 1863980
    {'charpoly_factorization': [[[-4976, -34, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 13}
  • id: 1863981
    {'charpoly_factorization': [[[-180, 0, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 17}
  • id: 1863982
    {'charpoly_factorization': [[[-491, 86, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 19}
  • id: 1863983
    {'charpoly_factorization': [[[363016809, 0, -40986, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 23}
  • id: 1863984
    {'charpoly_factorization': [[[2849344, 0, -18404, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 29}
  • id: 1863985
    {'charpoly_factorization': [[[-4221, 204, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 31}
  • id: 1863986
    {'charpoly_factorization': [[[103635, -660, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 37}
  • id: 1863987
    {'charpoly_factorization': [[[15513948025, 0, -270890, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 41}
  • id: 1863988
    {'charpoly_factorization': [[[256, -58, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 43}
  • id: 1863989
    {'charpoly_factorization': [[[8950673664, 0, -395604, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 47}
  • id: 1863990
    {'charpoly_factorization': [[[43477254144, 0, -568656, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 53}
  • id: 1863991
    {'charpoly_factorization': [[[8087045184, 0, -217764, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 59}
  • id: 1863992
    {'charpoly_factorization': [[[436864, -1336, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 61}
  • id: 1863993
    {'charpoly_factorization': [[[-80864, -722, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 67}
  • id: 1863994
    {'charpoly_factorization': [[[68112009, 0, -848826, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 71}
  • id: 1863995
    {'charpoly_factorization': [[[-4824, -198, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 73}
  • id: 1863996
    {'charpoly_factorization': [[[-5840, -610, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 79}
  • id: 1863997
    {'charpoly_factorization': [[[43147598400, 0, -707940, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 83}
  • id: 1863998
    {'charpoly_factorization': [[[15083032969, 0, -298874, 0, 1], 1]], 'hecke_orbit_code': 117093590378743083, 'p': 89}
  • id: 1863999
    {'charpoly_factorization': [[[14976, -312, 1], 2]], 'hecke_orbit_code': 117093590378743083, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 27, 'label': '1323.4.a.ba', 'level': 1323, 'portrait': 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OoJJDG+n9CoJrS6HqcWYKA9tDFcvjGk3U04v+QwUXfZuTFm67oOteoAIQ1hKGh2Kyw2PSaqAle6nF/wOHpOcHIu5vRyjF/p8sobO7zhZvDlOIdONTg9r7iQMfei4eiS4YarFvm5d6yycWKcU+cnubBcYXHVZWlVstyMWWlGNDsJa+2EuW6V739zTf+jb931wXWzEz8W9sKWP/td32hIfE2Pv9cAbzabLKwZqj6/fOzE4dud1nvk+eXl25dW55xvvaXOifMzrLQqrDQ9lpsOy01YaSasNCOW1xLm1uDYsmBmeo1f+P5lbtpT5cz8JOcXapxfcphfNswtxZxdTFhox4xP9nnpNR1uuRw8WcFXPvMrAReWHOZWBN0BxLEm8DS1IGFiLEYDp+ZiWh3Yts6lVhlgjADh0elptq4fsLzmgLFSZK0DgxgMhpVmyKZZl3ZPIZRB6AGNwGXrhj5rXcGp8w6JdphqSOqBwHchjgXdgWRuRXJh2TC/GuP7fXBjbr2yw+1XCWYaFZZXG5yZ9zm/BPNLMfMrMedW4Niy4YYrl/jF719l/XiD03OTzC1XWFz1WGpKVtYSVlsRq62E1Y5hsS04PGd4zS2nmGysi3vh7EPv/Ddv1pu3XP6QUPG/7fUqVKv1bzRUXvTx9zbI/LXfez9jY2MsLi7+0l/89f0/+d6PPe7PTC5z8+WL3H5lRLXSY3KsizECrQWJBq0djFEYY/8NIRKEMBxfnuAX3if4pR+aZ9+OkHplklqlTqPqU6+6jDcU88uKuVWHex8O+NSDMbu3dLl8Z8zKao8rtgz47tdqolghMHz8KwELzYBKMuDkBUWnU+fayxIWWjEHDrns2SI5ch5u3QvNNoTawXdCpmtw+FyFaiXCVzFjdcFaG26+os2xsz57tmlOnB/wwjH777lb+hybN4zVB6y0Qj5xbxUjFEmScOd1XW7bZ5hbc9m3q8+ujS5x1KDbq3DgeMDckmBxNWFhNWZ+RXN6RTDfCbluzzL//ns7zDQmOHVhnPnlCotrLstNyWozodm2zN3sGlY7MN+RhPGAZsuwe8NJ55ab5u/oz7c40nzlbeu3v0L31j75C/3EGJ0QVb2/f3z59+8TAe95/4d41b7d6r2ff+Lf697qzx46dEa9cLLPmaai3Y/Zu32R3/ixJa7bVWF+eYLlZo2VZsBK02Wl5bDahtVmwmorZqUds9SEM6sCp9LntqtW+K47QnbM1ljrNFhYqbC44rHUFKw0NctNzWpb0+ppWgNDtx8z1YjYuk4DAt81nF1wEdJn26xix0bDxtku86sDnjlS5/rdhmplleePTlKvhYShy9SEpteHK7b2ef8Xx9m7JWYwMEyPSaKkRz3weeFkn4pb47o9Mc8eD5lf9tg05bNjA2xdH6JUxNkl8FyDEIZt62Im6pJ2z6fTdWl1XVZaipU1WG5qVpoJS82EuSYs9xO2burwXXcucdvlDoHb4MJSg6XVgKU1h5WWYLWpWWtHrLYT1jqG5Q7MtRVzazE3753jV398kb1bAtZa45xfGOPk3CT18YnuTbe8otuYue0nddL/04mx2jcaOhc9/l4B/PDhwwRBULlw4ezW+x9+9m2nz577j+fPzaG1YrmtWWwJ5tqKC52IG3bO8xs/vsK1OyssrE6wvFZltRWw0nJZbTmstqDZ1qy1Y1bbMSstw3xTcL5jQHR4y8uavP4mzc4NAWFYZbUZsNbxaLYVqx1BuyvoDwxhbEgSUNLgu1DxDeMNw+xkhOP2OXYh5LmjPjqu8dqbQxx3jScOjLF9A3z60ZiXXe2z0OwROIo4iZicgDhycdyY5eUqL93X4tMP19mxAR4/MsClymtu0sSix3PHEk6cDXCkx7oJh4maoOILPE+gBMQawsjQD6HdNax1NO2uZq2rWe4YeknCts1dXn9Lk7fcHoKus7w2xsJKheWMDJqw1k5odmLWUnCvdOFCS7HYSrhhzzzv/PEFrtxWYXltjJVmncW1gKVVn/4gZP2GddTHNv2CV7/mfVu3bjwzGPR7u3fv/UZDKX/8vQF4c+kgjakp78ihkz/4/AvHfvdLDzwpTpxtSUcJhIBOX9PqwWpXstCTXGhH3HTZAr/6I8vsuyxgaW2c5bUaqy2ftbbHatthrS1otk0aLMU0O5rVjmGhLbjQ1EyMd3nVDW1uvTxm2zpFo+LSagf4rgQUYSzRWqANdPuA0EzU+xw5Z9Am5J7Hawy6FS7b5HHbNV0ivcb9T45z3W6XI3MdmqsNbrmmy71P+KybNBw4Zfhnb25x4KTPuknJ559U3HaFYqXb4viZSa7bE3L/cz3iQZVbr/TYtaVPL+7wuScUJIJjZx0aVQdHQLcn0UaQaEMUA1LjeJpmx1CrR2zZMOD2K7q86vqYqVrA/MoYy2sVVlv23Ky2BM0ONNsxzU6cy5KVrmSuLVhqx9y8d5Ff+pFFrt0RsLg2xlq7SrMd0Oy4dHoOCJAiYalZ17ObrjUbNu/6p9PrL/vjTnMxvOWGvx8g/3sB8DAKZbvTe+MnPv3Jy3ZtGLzzkUeedRdWBK2upj/Q9ENNb2DopiBv9izIzzdjbr1igV/+kUWu3+Wx1hpjcbVOsxOw1vZY6zg024pmF9odQ6sb0+okdHqaZtew2BEsdiBKBly7u8f6yYRO1/C6WwZsX6+JE4kjDWEE9z0TcHohYMNEzPPHAtBVLt+s2LdX4wddnjjSZXGpxlXbazTGV3n4WZcbdwcsd9dYXW2wfr3h0QOK772rw2MHHDbPuix1mqyuTLLvii4PP58wWRnnqss6LDSbPLp/nIpT44a9hj1b+yA7PHNCMDsZMb8Ycf8zLv1IISUk2rB9Q8irbglpdxQbJzT7dkMYVllpVllp+qx1XFpdRbMjaXWg1U1odRLa3YRWV7PWNaz0JOdagmZvwG17FvnFH17lht325mi2K7S6Pq2uS7vr0O0rBqGkOxAsN2PmFkNecv310ZU71b+5885vPep6lU8op6K/0dj6hgeZzWaXZrP//ffc//Bvri0dnDwfzTMzXiGMHYQwODJByRgpNAIBGITQSGmQ0uGxw+v4t3/o8ObbVnj7XSvs2BQyt9zA9ypUfI+q71KrOLQrknrPZazm0O0ndHoJ6wb2xmn3fVYWA86eMYSx5txcjO8bQOApgyMF3Z5C4BJ3HV6yXbBro2Hrpi6DpM1nHlMcPDrBq6/32XfFKu/9jMETVbZv6vLsw4pN44rpRpdAVQgjl4U21AKHzesETx8M2benwh3XLfGeT/bw3DqvvNng+l2+8GjIpx+psf9EhZ0bq2zfkDAzEbJjOuLq7QlKaRxlAEPV95kZ9wkjl3bX4/kjLp2+Q7en6PQlnR50+oZO1373di+h0zO0eoa1Hix2FfOrhupYk5947SLfdtuAa3fWuLDUoNkJaKfg7vQUnZ6iO5B0+4JOz9DpGdo9w733PeJ2mzO/eeXuB1fWb73rJ6No8B7X9f/PBXgSdUHww0eefPSXH334S5M7ZlpQ99BGUPUNcSIAhRCZIwJC2E4aJQ1KJnhS8uyRGZ46XOPI+QXefHuH26/sM15vsNKsUmsFNHoena5DO73Yvb5Dd+DQHxj6oSaMDFFkiBN7hLGH0SCVwHUEgScYrwsm6rB+WrN5XZfpiSaffQIeeMpF6jFefb3LSy5v8+D+iLDf4LaXCJq9HgvLNW7do5ke71JxfPqxYrEVobTgJXscqvUBTx4KePm+MW65ts2ThxSYMa6/0uOH3rDCvU+HfP6xGgdOB2ydUayfrDBRrzJWh4oPrmNQErSBAycESSKIYkEYwyDCfsdBQm9gV8NuX9MdaDo9aA1gsSNZaMNA97n7uhXeeHuT73mlJo4bzC3VaHUC2j2PTq8E7r6gOxB0+4ZOL6E/SFBSgFYcOrLMpz593+TWPZVfe9lLX+qstbp/ON6o/p8H8H53lTgxP7Q694VfXjl3/+zVW0MMAYPIICX4nqGmAQRCKIQUSEkKblDK4CiDqzQVV7DUrfCBL27mC0+1eNnVa7zj7jWu3tFharzK8lqVds+n23NTYCt7hIJBJIliQRzbpT6zGJU0OA4EHlQrmsl6xKbZLjEdjpyL+OD9AcfP1Bj3K9x4pcOt17R49HCTe77S4ObdAVs3dHn/FwVK+DTqEWudAdqAEjDT6NJqe+i4whtftsAHPl1l13zA62/uEkbL3P/cFFEScNOVs7z+xha7tzT5wpNdnj1T5ZkTHpsnJZMNQdUXeK69CWV682sDWhuiOL1ZI8MgsjdyP4ReCO2+YHUgWGmDcPpct3eNd7xqjZddmTDVqLDaqtJsV2h3fTp9q7ezlaA7kPT60E1vnP4gIQwNxhh8V5Akinu/0iN65HOzZxb1L7/9TS81i4trfzQz843pJPo7B/i9n34fn9jv8WvvuecHXrvvwjs3Bs9MjwUh2zbW6A00UWwBZwwYIwGQCKSQKOkgZYJSIl2eNa4y+I6h4ghW+4rl5gQfuq/GI893uO3aNd7xyjWu29VkKqkQxz7dfkCn59IbOISRIoolcSJJtEAbgcAghcH3NNUgxvdCPHfAueUBn3xccvSsx4mzEyjts2uDxxU7FNdf3kL5izx3rM6m8SpX7YT1M6ustBpcvUkSa8NnH/MZdCXjtZjX3NTnE/dHnJ6rs/cylwtrfV447rJl3QTX7ljkwWfbPPyCYBB6XL5jksu3+Fy+uc2xCyscPQePHaxy5HiNqiPwHUnNNwQuSGmDKmPszRonEMYQJoLOQNDqC1oRhDpGmz437G7xjle1eNnVCRsmffr9MZabAe2OT6fv0e05dPqKbl/RGwh6fUlvYPtG+4OEfpiuDKG9kaIE2r2Y3gDmm00O/skXZpudE+/8nlc5cbT8++9990cm+LEf+rvNgP6dAvwXf/M93P26DgjzPZ976Nxvv/Ndz4//xLfPs3N9A8eRtLse/YFDP1JpUy9IKZBSpqBWKCVwlMZRCa4j8ByN5xp811D1EsYDQXvgstqa4MMPNPjiM33WTXR5251NLt/Sp9/rcNUOw5b1ikHkkiSKREtMBm6pcZ2EU/OGE3OCtZ7mYw9WObc0gQldJgLFximHbesddm6Cq3a10HKJP/hEjZWVMW6+3OGqXU2+8IxAxC6zE5JaNaYbeUgjwUiU49HsC+ZXBFeaKnde3+ahJytsnPa4+apJ/vEblvjjT7d57FCNTt9lea3Ojo0V9m7octOeNt/+8jbnV1b42IM+y12fUxdczp3zcJU9VwKBNoZEQ6QNSayZmIq45soug0HE5VsGvPXOAbNjism6TxQFXFgM6PY8ugO7yvVyYEsL7oGgP8CuBIMkDf4TBqGhn64Sgwj6kb2R5vqCrROnmHWOTj/86L7fXurtjH7sh8b+7PgL72LnVT/yDw/gTz38Ia679S7x27/3ie9srp1418rK6eqXn6xww2WSq761Q1KzWUJHaVTo4kiVBpLWKVApyB0lcZTAcQSuk+A5As/VBK6hEhmqoWEsSJioCLqhpB3WOHG2xq/+2SToGBHHXH9Nlx3rQ+IYtNEYY5M4UgikEjiux6HTHgeOBtQCh7onma4KZqYks5MOG2cU2zYk7N22RiKW+Z2PNDh1epyb97hcvj2hF7f5ynM+4xWXqTHDeD2kWrErk9aSZl+x0jEsNxOanQovvWqNxw90OXhaMd4IuOnKcX7kjcv8t4/Ck0drdHqGtbbD/EqD9dNVZif6bJvq86+/s0uj2uTZE3DojMR1DUrZIByM/Z+BOIbt6xNuuzomiVyi2MeYKv3QZW7JozewK1o/VLl864WC/kDQDy1rD0JjAT3QDEJNP9Lpz1KAh9CLBN1QsNSTdKKIV92wxl3XSf7ic4fHt2ztv+vh+7bHzrofvt+YH17oRiS1v4PM598JwH/jv7+Hd/6lUG+/8OG37JxZfu98fDLYdt0Szx2WNPw+lcBgjIs2IKVGKo0jXcvY0qCUSvW2xHWs5vRcxcCVDEKNHyYMIkMl0gwiTRgaGjEMIs0ghjAW9CPJIPGJkoCDR2s8cxASY7DQttrYleApW/NR9+GqDdCowFhNMlFXTI07zE7C1vUDNsysEZkVfucjYxw7Psa+nYqdmyW7Nq/ypRdi5pfHuH6HZKKhCbwevvQxShAnEmEMcRKy2gmYX3bZd3mFl+xp8+CTAesmBNWgzr49mp94yzK//VHNC+fqrHU0a23F4qrD9HiNiUaFicYYjWrETC1i274Q341xnRilEqSwwYTB3lRRpFhYdIhiRRQrwkgxiNLnUDKIJINQ0g8lg1BYNg4Fg9AwCO15HYRWbw+iDNRW1/cjQT+CTihohoLlEAgH9KKIoyt9HjpSRx1crO7c0fiTH9h4tDVobLi+3+2d+bvA3t86wP/ig3/KuilfOay99eMPnH/PtVufCd50O4w1VtAmYcOUlRiYLom2AM/0tVIuShpcZXAdhesY3FDiucJeBFcw8BRhZIEeRYYwTqwejEtHAnFiSBJNorF6W5ODWwhQEhwJrgu+Iwh8QdWX1KqKsapkYkwwOxmzbX2Xem2NjzwUcv9zk6wtNbhmq2LbBpfdW/okYo3PPlal5jrMTCjq1T7PHYP9xx2u3mLoDhTX7o64Zpdh7kLC4qpHr1/ltTe2+fKzPY6cU9QqEt9rcPVOzS/+wDL3vdDjE/dNs9wybJtNWG06jDcUYzWXetWlVjEEvsb3NL6T4CgrtaQNYTAGm7DSglhL4kQQx4IoloSxIIokg8g6L2EkCCNDGMIgSggjTVgijkFUPiy4exF0I0EzlKxFMAgHOEmfw8cFf7Tm8olHFGMVjVt91F85vcRzi9fcddm133W8NTAPNvz0TvxmBfhqNJBLZztvP3v+wv/4yL1zwb2Tdc4tL6NkwD2Pe0zXY06d7/C2u7uMNzRON0EJnepsq4ddx8GNHHxH0Xct0wxcSegJwkjYixMpohjCSFoHIS5svzjRJIl1FxKTOiV5QZZIJZCVPZ4j8D1J4EtqFUGjahiva9ZNDpiZaBObNT70Zckff3qK2SDgmq2CrRtctm/UbNuwyke+YlhZCbh8vWKiAfVqxPxJycKqj7cDBpFgZkwyPg5HThhWW5q5pYDd2wPuur7NJx8ImKqD73koOc7VuwQ/+voFXLnAxx+cYP+5gHWtiNnxmLGaol5RVCuSiu/ge+C74DjWYZICpCiBHHtjJxqSRBAnpECHKDGEMURRYkkh0oTZc6RT2zFzZVILMhb0IkEnErRiQSs0RP0BY0GL73rdMm95eZupGuzZPAfC4dtuT6h7R/yji2N/MjG3/6ByvGuB6JsW4H/2wY+TJMkPfPnZp3/j+UNnGtP1gMW1cX7tg3WSJAGRQBjy5WeqXFhd4Z99e4+JRkzgxbS6AY7ycB0X13HxwoTQdfBCK03CyKbSLeMIy0QpK8UxRAkkiXUStDZptaG1s7KH9dVFqu0FrmMBEvhQDTT1Ssx4PWZmvMf0xBoPHQz503sqHDoxzvYxl13rYfN6j83rYO/WFt24xaMHGlSUy8yEYrwO4/UBE2MxnmcTV8ZAb+Cx0opY6xqanZiFVY+t6+vccvkC9zzW5dC5BlU/wlUeQoyxa5Pi+165xA17F/jTe+o8+vw4yx2H2UbMeDWmGkgqgcJ3Bb4rcV0bqyhFah9alBvAGGNXrxTocaLT1S21FmNNnFhwxxGEsSmOyLoy/diSSjcFdjuGfj9GRz2mqi3+6Xes8P/7ng71ikMSuty4NyGMFCvNMVZbVUx/P6cOtGcnZm5/xxOPfOqPb7jlW775AG7MKqB++BMf+/gvt5eXp3zpM10zeApqvkMrcujGMAh81gY+v/FBjwPHVnnjyzvceV2bddMh7VaF3sDHc2N8z2UQOvietfcygEeRJIztsptZjHFCav2RMrdEGwpw2yRlytzgKJsw8VxD4GkqQUw9iJloDNgw3WK+2eV3P+by2ccnWVmtcdmMYOusYNOsx+ZZwY6NfRxvjQ/c73D8TI096yQTdclYLUHKAecWDb4jkQKMEYSRw7bZFo+R0OoqVluG+ZUKezYHfPudTf7yCx4n531cJ0IIF21qRLHk+h2rbPvuFp99ssv7PzvJEydrbJoQTNcSakFC4Al8V+C5NlZxFDZwliKvyTDYm0wb27CdJBbwGcjjxEo6C3YIE1vrEmbJo1jQi6EdS9ox9EJN0h2webrFHfvWeNPLu7zuxgRXVFldCYhilzBy6Ye2OaXT9UgSj+PHe1PVVvudd9z1JnX6fOsPt25sfPMA/PT5FnNL7j9+4qnP/3K/9fTsrk0KYzRLazr1mRN8KegoQSdWdGWFZuTygS8F3Pdsm32Xt/juV3Z5/c1NpsZ9en2f3sDDd13C2CWMnDxQimNFlEjiWBIlgjiWJIkg0aLQ2lqQqxJjmVsKmyxSabLIczW+l1DxY+qVAdPjHXpRjy88Z/jgl8Z49PlxJjyXqzcZNkxK1k15bJyRbF4XsnPTKs+e7PGxL88wphxmxgSNmqBRjWh2Ez79lYC6ZxDCAqs3cHjjbQM+9YitiWl2NAurDptn67z59g6PHmxz4IhHzY9RUliQ6yr90Gr977uryZ4NC3zgvhYP7x/n9GqF9Q3BWGCoeprA0XguOEqgJGmCzH7vrPxIp1JN62KFi1OgW4KAKBFESQrsRNCPBd1Y0EmwMU8YUqt0efOrV/juV7bYtydh3aRDr1en1fYIY5dBmAJ84NLpu7Q6HgsrPofPGBYOPTW767L6L99y0yu1MWvvFuLrnwz6ugK8211GhzFBxXz/o4899Osf/uj9U55cZSyo4Si7/MfaYLDM6SoIFFSUoKNcuq7ibMvj/CNVHnmuw19e0+atd/V4zW19Jsc9woHPIGWEKHaIUqDHiSJO0oRNUgBcm5S5dWFHCWHSoNLWcTiOxnMTfC+i4ofUKz0Setz7pOTPvjjO8yfGEJHP9gnDhnHD9LhiZtJj/bRk40zE1vUtziy2+b1P1IgHFTZvFozXHRo1aFQjhBvS6tUYrxuEsAmsKJZM+opYx7Qjj3Y3YbWlOLdY4cqddX7sW9d455/7nFqs4agovTEc4jigH0rWT/lcf1mLa3Z2eOHUOT74pQr3PDHO+WaFmq+oe1BzDZ5jcBU40qbzhRiurtOA0famS7QgMRAntnkkSgRhYpNEvUTQS6AXG+I4RkcDpoIer717jbfd3eZlV0eMVRzCuMZq09bDFIfDIHIYDJzciowSW/a7d2yRE/u/NNtp1379mmtviI8dP/snE1N1psa/fkD/ugK81e6hnOqbzh27/78tnvtMY8f6Hs8e9mmrmETbFLznCLS2AZASBkcaXCkIlKCSCLrKpxu7LAwCPv5Ijfuf73LT5zv88+9oc8XWFrPjikbVIYwsQ8RxAfIkA7iWaCPTbKgodfikqX5l/XbHifG9GFeFtHoRi62I3/pIwImFCZ48MI7RHlMVwey0YXpMMNVQTI27rJuSrJ+K2TTTZWp8lc8+pXli/zjXbBZM1CX1qqRR1dQqIcId4PsOjrK/3xhIEklv4NDrR8Ra0O5p2h3DSstlbrnBrXs73HLlGh/4fEBlReFIG4dp4xAnHmEk6Q1cpscDbtjV4YbLOjx2x3lOLUr+9J5xFtaqnF328ZSk5gq8TIalybOcyDOpgmXy2AhiDZEWDBLoxxBqA0kMcYRUAzZO9Lhmm70eN16R0Kg4xHGNZttnEHnEsZMSkCKMHMI4tSND63ZpLfBcw5Z14Hs1HnqmyYUHPj71tr7+b2+8+6bVVrv3sa8nJr9uAD996ijrZjep//6uP7vs/scONB470MJxAtbXYLqepMulwFUG44q0aAqcxP7Mjw1+IqgqQU8Juo5PL3FZDivc88QYD+3vUfMH/KPXNdk8FbN9Y49br2rjCEW96iCElSs2K2lrpY0pMTcGIQ1KWM/cEIOMeeGE5PGDDp98tM4Lp+uEcZW6o5ipGCZrhomqsT54w2FyzGFqXLB+MmbjTI8NM6vc//yAP/jkLBvGHWYa0KgpGjVBvRpT8Qc8dFjRDx3cmgWVMYIwlgSO4ro9PR55btwWPvUS1louS2s+80sT/Njr5zm7tMwjT8/gSkBEaMgBNAglnZ7DRD1gvFHjlj1d7rimy3e/YpGDZzSfejTg0YMVDh+vEQuHwUDRjRRKSIQQI4FnmhMw2q6wWuOKhDEvJCDiln0ddmzos3k64h2vGVDxJLWKSxhWaba9dCV1UsJRhdceqzRGss9RWl/vKkPFM0yNR/zAt6yR6Dl68T2Npx9duOyWl79dHTx0JLl879enc//rAvAHn3yWo6uet7z62A9umDK/4SdNdk3VSAxUXBvoiDSocxzSQnlhkziJwUkgkgJHW6AHSlBNBAMN/cSll7h0k4B2O+HXPzCBiSPWzfS5cmufqbGYt97VY+tsSBSJVG9LKDE3qf6UUiOk4MP3VXj2WA3hOJw6X+XcfJWgohjzBeM1QyPQNAKoVwRjVUWjrpioO0yNw/R4zLqpPptmWyRmjQ9/uUGvU2P3ZkOjqqhXJfWKph7EuG7IZx8JGHQl7izIFExRLKlVFK+9qccDT2k6A0mnl9DqOqy1HeaWq1yxo85bX9biyReqnFqpo6QGolQvu0SJYhDZxEyn79DseNQrVWqVAVds7nPz3j5nFpqcvLCG4yY8c9zhL79URShlwS3k8EU0GtBgDFGYsG1dzNvu6jHdSNi7zbBuCpLYZRDWiWOX1ZZLHCmixEnjIEUU2ZXUAtxKxiiysZF1t7KaH7tydHoeWs8SxXB+MaI+k/yG88RD3RtumPjjxQuPhjMbbv77AfADh04hnbk9h9sXfnfh5JNyoqGQwiYDwCBT8WcMKG2zhhbcAicNahxlcBOIlcBPDIG25bKhNoSJYKAlg0QSapdIw2KnwZee1RgS/vrRCCESe5GMvUiQmiXWC7QViUIilSKOHKR2cB1J3YcdM4aaq6n6mqoPVV9Qq0jqFSuHxuqSiQZMjcXMTAzYONMmYZXf+quAB5+bZdcUTFRT9q5K6pWYaiWkVu1RqVTxlUTJVINj5UAUufR7gt4goT1QdPqadk/blrmax9n5MV565YCf+M55fvMvHU6v+QihMSZCJyZ1J6QN3nqKes+hFnhUKwFVv0rgR9QrIdfvDvHciBt3x7zj7i6OitMkkEYIMyzKU0mntUQIie8qwNYHLa86tm4nyWKe9IhlEQOlII4TaQP/NOiPYkGsbXIpC/ij2FZyrrZcBpFgpSl45vBjcsN0/3cXz6z/crs9eP7rgc3/bYB/5KMfZd10vfLkc0ff8tz+Q2KyancqAAgjbW2o1MKwBUCCRBoL9FQbxgk4ie19jLOIPkmj+iyy16J4rwWhlsRGkmiHSPsk6b9ffuRZSgGOEDZTqSCoGALHEKgE3wXfgcAzVHxBxZNUK5Jq4FiA1wTjdc1kI2ZqfMDsZIeNs8v8wSc1779nHVvGFdN1TaOmqFcVtSpUK3ZO4YVlzbELPoFnb2jIKv0E/dBhx3rN+uk+rb5HL62tbnUla22HeiWgXh3nHXcvcPzCHO/62CYc6WDQJDoh1oYodhiEil5oi6K6gaTad6j4LhU/odm2MYbnJjZh5ia2gURppLTpfJEetnRFACKfVNDUKeNqG9ckiURrSayLeCdORCnAz16Xny2w46TsapHattbSDSNBP4RGzeHI4UOi2+Mt1bE9xz776b/uvfb13/aNBfjt1yTe0uqZn667Cz+9bSaRBkWc2Myg52qiOPNaDYlOn5W9yE5SgDlJ0gybTkGe2JLP7GfF66JSzi51Ig+UypobSDN5qdaXGkemK4UCVwlcx9Ywe44g8CWBJ6n4ikqgqFck9aphrJYwXo+ZbAyYnuiydd0yjx4e8IH7NjIR+KyraxpVYcFdkdQCTS2IqVcHPHoInjlY5bIZk+reIm3eGyhu3GvYvbXHY8+P0x0Yev2ETs9JQe5SDSpUgnG+6+UrPHN4gUcOrAej0Dqx5bCxIY5MXk/SGzhU+4ZKoAg8je+5+F6C72gcJ8F1shII2zAipS0NRhgEhZ4rgnNbQqwzR0pn9mvJis2ArVMQ5++zbKn9e/bPGCqViBNSj90QhhYnzx+J5dnFuX9fn6p60qn9EhB+wwC+tNyROun8vF76nZ/cPn3Ocxmn1RZ0+jY7GEYKJ+2USbRl80QXyYVE2fcW6LaBVifkr5Ms42ayzJtBp5m4LFlhjKGUeR9acbNUdZbQUTLNWCpKRVs2++d7isBXVHxBtSKoVwyNasJYLWa8PmBqrMfGmVUeOdTj59+zjtNnx9k5rRmvQqOiqFUUtQBqQUIliPDcPs2+QUmFqwxSFp/MXnBJFHs0KhHdWNNN66y7/YR2V9KsKKptn8Cvs319xC/+YJP/8F7JVw6sw6DQRpMkmjiJCWNNGCn6oaLnSyoDReBJfM/YabeOxnWt3+8oYwGuLMBVKlOEMMMNumlq36QkYtJaliSfQ1M8W+DK9FkUAE9fZz+P08RbBvQosZ1UUZT23fZtf+iXnzvl7bxs8CNB4P7aNwzgvW4brZNf+vDHHvyXX3j4XPDddzfZss7lHFUQjk2BCwuqbKnKAK4zoGdgV9l7ayFmaWSde7RgtLFd5GkJaPlgBOCp7M4D2+xzKGUlkZO2ormOxPcknqsIfOvNVnxDLdDUqwmNasRYPWSy0WPjzBqPHOzyH/54mkOnJ9k2aR2WekVSq0rL3hVDNUioBhFREvK+z9eRSuFKgxKFTahNtoS7fN+rV/ncEyHt0KebArzTU7Q7iqbvEHg+vttg75aY//hDy/zcHwsefn4d2kgSbdPqUWwLzQahZhDYclffFwSuwPdsZtNzTJ6xdZRGKuuNS2Ht2xzgRcoTSEkEm0uwbkuqozMAZ0FjnlwjZfeCrXPmLj1nNUJRWsjV6ye0eoYzS+DWQ1557ZHpy3a+4iO//fPNR4SQPzM+/r82Pet/GeDzF46htbnl7IlnK0ePBzy7o8tr9g1YWg0IIgtYsIVMUQIqFiRKlBg8Azc52HWJoe1rcsBb28+krE1W7owZ+VwZwLMajCyTl7G342R1JxLXlbZ+wxMEvp15UvUTahUL7kYtZLzRY2a8yaMHu/z8uyd54dQ0mycEU7WSNAkcaoGtX6kEMRU/xHUHnFuewFUCJXVqyxVBZpJI4lixYcIQxxGtKEg7ZezFbvclla4i8Fw8N8B1xrh8c8x//MeL/MwfwSP7Z0m0tCBJDFGcpEyuGfiaIJT0PZVLMNcF17ESzdapGBxJKlNApM+XwLiVK6RJIUSeHNJpcijLFidJ6ee6kJwFsIuaIFvzYojitBQ3sjJltQt3XKPZNlPzn9u/8Kqx2WNCjDo+f9sA//nf/Ti//KFe9Xtf8tfens1NoptcpqoNmm0JCJSyWTSTpcWlDfDibAmTlqkThxzsw8DOZIjJgW4yOZK9fpHPJkVRRCWl/d0ZuJWUaaNEJk8gcMH3NJXAUPGtfq5WIhrVkPFaj+mJJk8c6fNzfzjBc6dm2DiumKlpxiqCeiCpBopqRVAJ7M1hU/0hjxwQdPoegSK9yawGz5oQEi2IYodaoLj1qjaPvtCgG1mZ0hskdHuKtq/wPYXneql+HueKLZpf+ZEFfur34eEDs0RaEmmdNksXPZgDT+J72rK3W9TROyo7SGVKIeNkmuW9FMizpJDJAJ4CPsmdFy658uo0lspisIzg8hgirXnRGhCGiYqgsxrwxcddDp+Z4+njH/He/Ts3VAdLf9r1p7/vbx/gz7xwgmv3bh3/2d/6i9/7D+9uvfyWy85zw+4Z4qTBhWVNktirqJTBNRnQDIm0bJpoSJxsSQOtxKVZuwRonQO7aAom1d75xRC2oEjI9HemRUYqBziotGLQdcBzsZ1AXlpg5SdUUnlRrwwYq/eYqLd4+uiAn/vDCZ45Ocv6cYeZqmasArVAUKsoqhVFNWfvhMCPqVf73P+Mx1ozYGKiSJNngNGpNo0SxeyU4u6XdLj/cW27aNIZMBbkksCVBK6D63g4TgUpNVdsMfzyjyzwU79vePjQLJF2iNIKQFv2apncj2ReXeg5EsdJi7CkQDnZuSH/fNlNmEkVkVWlUSSERg9deta69JyvvKXV2hQSNdbkxV1JWr7hOoINE5D0PY6eS7jx6gu86c61ly+e2PZHE1v/8Y93mneu1ca2/e0CvNOc58lnVn6K1tm3q37E/qMbGfQ8dm52mKjbKB1j0/CoItBLJKkcSaNoRckySsGeJmcy9h4KJEeZO0V6lpHLtbfMKugK3Z3ZkY7C1mc4Bte1jcWBpwm8hEoQUw0iasGAerXP5FiTJw8P+Onfn+bp4+uYHXeZrSaMVU0K7pS9A0nFt+wf+DFVPyTWA9qhj1ASN2PwXIOLlN3SArHIpeb1bblAGDCRgbyf0PVUuiWKtDXxTrYBreHq7YZ3/vg8/8//0Dx8cB2RdhgkgjDRKYsLgkjjuwbPtb2rThp3OMqaALYN0J4nK1NEaQW0ZzW/Mcuxzgi4cxIqEVMZ3EVcla7OQw6Z/XPA7mvkwlhNsXOLz+4tmzl2IuLs4srbd/WeOpYk0c/8rTK4CU+Au2Hbl+993zWbxpe49eoaxtiL7aiCXWWm7TRIY1BSDDki+TKWajedL9vlEyZKTFFkJU15zcxYuxxUZstt2qGj0mDKcdLOoLQIKaseDNwk1c0RlWDARKPLWK3NIwdi/u0fTPPU8XXMjDnMVBLGAkM9BXclsHZiBu6KnxB4MY1ayIGThvuerOFJiat0GsQVHkW2fEeJItYOd14fcdnODsdOV5ipYvscQ9u53u2nLOwoHMdN58FY7/qqbfArP7rEz/y+5ssvzNCPKjYZFhuqaQ2372JB7mSrl04likSqJF/hlBQlgIsSyLlIrxQgN8MAzysUi5X3UitzUZ/PkATNfrfWhoVlQ6cXkCQenf4C6489fs33/9APb3v0+fOnbr76a9/u8GsG+CNPL/Dg89PbZ4Mv/Zfxyqk3bVu3RsWrEkZWgniuBY1KI3IAIw3SCIwskjxlo7/8nPnDJve0R1ySi9ySlLlHwS0MUmW2oAWDo1LWdgyeo3Fdje9qfM82VwR+SDUYMDnWZbXd5YHn4Vf+bD3PHp1mOgX3eMVQrwhqgci9cuu8aMvengV4xR8QJgn9XkCg7E2WlSrkOMmstkQSx47V8s6AQWjoRaIEcI3nJXiug+tKHKVQ0s0BjoBrdwh+5cdX+fU/j3n44BTnmw36Ncl4YqjHhiCdOOC7JvX+MyfF5OydSZUM4PnnTT90Gee5QkwvSraqFuAelpS2mpM8d2GGgJ7eDNmNL8DE0B1ooiRipSkIY835pQ4L4eKb9r/w5eTVL73uXxlz9qQQm7++AL8wfxipzt18ZuWZt2wKnmDT7AakdOiHNgEghMnBXSxrmb4WeXSdSRILapEubVnCZliKlAGeneKyKswugh33kLG3SeWJKQ0HsmWxrqPTMRNJDm7fS8E92WFxtccvv6/Kx74yw1JngpkxyUyQgjuwuruaBpYVX1L1TcrgVnsHfgiEfPFpj9XIY8pnqB47K1fIVqgksc0PDd/hrn1dHjkU0o58xvKOdY03sLXqnmMB7iiDki5C2gQNBi7fIvnNf97iU4/0+KV3r+Ps0gS9cYdxT1CPNdUY/MiOXvaUHWjkZoGmFHkQnD2XA/XyjSlE3iuSXx8YkZBlYJfiJ10Cvx5aqYevsRC2syirnR9EhoWm4uz+/bxxvv6Wbtt7X7PVPfl1ZfAo7OK4ld1PPnX/v3jk4AE2bavhuTFjtQGBZ+sQTIE8W+hESWrkMqSktXNQZxLEFDbUKGuXZUl6ojNmydLNmQugMoArW4rrOFlvp+3v9NwEz40JvAjfi6hXejhOl/ufSfijTzf45IOzhLrBbEMwHVhZYi3AzCdX6SFS5i6zd4TjDHho/zjd0GFDNfs8owyeWWmSKFYEruKWK3rE2gK8F4li1khoR665TmZxqhSINvuYTmtkelzw9ld0qPvnefenezywf4q5qEI3kDRiQ80xFuROGocok8YlJgV5dg5FUTsu7dCl7FyP7iiYS5VsRAWMaPNy9xA5w2eMrkfIbPTftoOLbNOF7/k8/JUD7Nx83b+47eZXPNVq94806sH/PsB1/zgPPnw/tVpj49L8iTvW1xOqfgWErXf2XAtwnU6GMmY01VsEVsXfKcmR7O+TJhOGgF2yHsr2lTAj0iTLyqVd+ZK8Mz9jblfZWgzfjfC8iMANqVb7eF6XP7vH4Vf/ZJZji5O4fsD6umDST2j4hpoPtbTDvuLbbGeQJoRs/UqSrgRWniy1Ejqhh6cUnjR5gEnpq2Q3dla7EcYuFbfP+vEea906vUik49as7HPdJLX5VGp32pkx2ffPUupjVcWbXtbhxisX+ZU/7fP+z86wEtfo+i41V9JwbA2O74CnyJshnCzpk658MpcqRQKoTCrDYqUMdC65AhfgvgTgR/+7UvlFnECYpOcs9Hj+hYgndhy9I+yLjc1m68iTz5/h+qu3/O8BPEkSXvayfdtX5/f/gV59jHWbBgRBjBAa17E12LbZQKSNBiIH73AtQ5YNE6UAUpTuYlGSJOKiOzr9acEmMhvEWQK4NChpJ88WzJ2kII/xHCtJfG+A7/Y4OR/zrk/V+OiXpzg+P0Gj6jIZwISfUPdNmnrPwC1TcMs8KRSk2tv37I3TqA34yEMOR05VCNIJXHm7GAXKTelmTxJJFDtcvg3ecGObP/rMFJ2qQyOdPeKHadygNI6TTfiiBHK3RHv2Gmydlvzb7+1yzY6z/P4nJzk+N8ZKXKHrOtSUoJoC3ZPG3jipy5Svftl5zexDrD4vMp3mYp88I6asdOJFwVt0EeVAZ9ho0MYW1EVpR1GkBTKGfgQf/PQLzG7e+wc37bv1dSurrb9RqnxVgDfbA5yqx6NPP7z53Jknd8XNI1yxDWanNFHkEsUug8h21WQVZVqnhymq0nQJ7AV7l9g+Y+uSDWjSC0bG2BnIRQFs+5wWDaXgtq5Jxt4JrhPbzh0nxvcHeM6AdhLyux/yePen1nNueRytKkyOKSY9w5inqabMXc3T9zKtU0mlSeqd5+D2bPZyEIUcOevTCX0m/NTFyZJOmSuRZWFNqSYlcmjUHHZsDlF+n3ZYp+cJKpFhkAHcSdJEjbI+tsxKgC8VvCpmxrr82Ju6vOXOOd79qRbv+vAUS70aPScgcBRVR1BJG028tNtHpQm5rLwhy3JexORcQq6MOiy8GJOLIfYuH0XbHITatsp1Ytv57yYRG6cH4M3TXH1k16BjNt9wzUtPGjNAiBcf0fxVAb6yvARJbWbQr33oZ/7LCXetu5Urdra4Ydcqb72zzZXbXJxBQJT23sWJyksrCyYXJR1evKf0ZQvGFphLfhJTsgNNDuwheZIODFIqsQB3EhyV4LkRgRfiuSHNfshDz0r+7J4GH/7yFP2kjud5THmCcU9T8wxV31D1CnAHvsT3JX4qTWxiKHUmUoB7rs18nrhgeOCJKmHk4tfMRQFm9ijS2bYUNYwUrutw941tPnBvh0Nna/QCO5ph4Bq8GNxI44YapaT1raUdSJoP96E4n4mWxFpS9R3Wjff4f76ryxVbB7z/njqPHxhjsVejrzxc1yFwBBUJfjZgKbNXpa3jzwvWROn8p0w+WpxVZvSMoDJHLP/eFyWG0s+cZXeNbXDuJoJeotFhyI07V3jLnWtcu11wxdaA7uBpd7J+14eardZLkqi9+L/M4Nu21uTpEyduPrr/obGbtmlOLngcODrDFx5r8MShC/zXf7HM9vUJnX6AlC5x4uTDLHU60DJbivWINrf1DaJUVzLM4EOFP7ZHxzJ5nlLWebmn1d0GRyUW4CrJ5YjjRDQ7EQ8+L3jPZxrc86TdZ0ZWAuoVxbhraHiaqmuoeoaKR8ralrkrviTwFIEnCDzSCj2dglvju1Z/K2fA4bNwrhnYxEqqb4cTJ0X9jO2DTEtJtSQMHdY1BLu39HjudEw3chmkM769EAs+lU3WzRI1IEfqNAq3KpU/ia0Pf9vdPV5z0ypfeKrNez/b4PEDDZbbVZrSo+M5eErgSYEvsT2c0uCILK4h76EVpdxD+XFR/cook5djMcrMbVk7MWkvqIZeIgiTBDPos2fjKv/xRxe442qfcwvTnDg3wbGzPvLIw2PX7pM3b9u+8zPp6fyfB7jpn/Gnxrr/Y8I/UbtsS4AQEXESMzA+n398mo8+2OaffXsf3wMhNCrWJKoA+JBUMcLe0TrToSWAl07IEC8MSRMzVKBvZYlONbdGycQOxM/cDBmx2I65/wmHTz9Y52MPjLHQqiGCALfu0nBgzLWdPBWXVHZAxRPpIdOS01R3ewI/Y+8M4E6M58UEXogxEV980ufUhQrTkwJX6mI67iXYzgyVmyp6A5dt6wR37+vy0a+EdCKXXiQIXIMXWxYfRKa0Sqncr0bIIZliD1k0Kmjrt1f8AW97RY9X3bjMX3+5zacerHL/s3UWmlV6wqPnOTiuwhECVwpcKXGFSaWWQSFK0nDYPrwEmQ+5YBmT69RhSzJZYgSRhshAaESauo8hHlBRbb79jlVeuQ/OzI1zZn6ME+crHD1jOLN8srZuxy3/o2/mrgB6/9MAX20bVqPe93RX/mz82l3HQW8gjFzOLGqUEOA4/OV9db77tR02jg/A2I71RCu0Vim4ZSpTsg53mS+lWYWatRRHhYkYDihLwBZCp3agRqQAd5wEz4kIgoj+IOHQOTh5XvHBz4/xmccbLKzWwA1wGi5VJam7hrqjqbiGiguBa8EduHYmoS0zlaVDpH9uUpDrHOSea9vTjp3XPHfCB9dNl3lTStGLIRSUgzBbLy2IEzvO+eodA67c3OHguSq9QFCNBX5kGChSa0+n7J25KZkFWWiV3GdPrUitVTp9wKUfulQqA37gtQPeeOsan3uiw1/cW+Xk+YCD56qEaz6x79B3HKSSNp0POOlzxuS5dKEI/i9myMI1Mhlrk5bcpqwdk5ZvGIMxia3O0iHEfdZN9viOO3pEcUCcSAah4swcPHMs4ekTq+y6+jmmJr767hEvCvDFlaYIo/An/ugDp8Y3NQzbpudYvy7g6H01ltck9GO6PUEiwFER2hEWcNpB66TE3sMjHLKWqALcpVt+iBFMSfPZpIaVJDrd5SHB9+0k1ThJmFuGz3/J4djZCvc9WuHcaoVj52vg+6iqQ+Aoao6h5mjrIrh2cH7g2nktFsTZIdNDpQAn1dwpuN0E37XsbW+skBOLcOBkFVcO24O5RKGoBy/chNRJ0WlfY+xy5bYeu2e7PH88phu71CPBwAEvtjMBVQngUgqElENMDqXlX5dkUCLzPsoocRm4Ho1KyPe9esDLrmlxbrXFFx/zOH7G53NPVjm/HJD0XLR0iDyFkNKuFGlXviTNeEIuWxhZgDP2LgecRZY6Te1nd6RJ7KGj9AiRJNQCTRBErJ9qkySCv7y/ivBjvvXlA67f/Oj0G9/wT/7Fv3rH8XcKb+clw7cXBfi7/vxTxHHCF+5fQYopdm0ccO3eNq+5dZVDpxSnLhiMiTEKpJvgmQFKx8SJUwJ1psPT+zxlcSh53EOBpSl87iHmLkkRleD6CVFiOH5G8NxxxecfrfL8CY/9Jyq0Bj6D0AfXQzVcfCWoKqg6mkrJB/adrE4jK5u1deF+Kks8T+F5Mr0BTKG93cRmFl2r8wMvwuiQ+RXJwPg4jsSTBqdks40QeA7yxAz3O4axi8BhZjJEqj6dyKXrCOt0REXBmKP0UAZSilIUmw07QmC0LJi8NBjJTVQ+fqI78Fg/EbJ1XcT1Owf0wh7/6EST5096fP6RgOdOBBw/HRDFCnyFkQqEJJGlbFA5mT/SxDwszjMfOHtOsz4kpQxQbFk8jpGJQSjDsfMRJ891eP60ptFI+J7rKmxfHxC4vdr8mYfeLqV65/8Ugz/x6L0sLrfV5x94QVy7VSFFlYlGnSs3O3zP3efAW+TUvOGR5zyeesFj6jr7gV03plJN0s8vQUuSSI4ElUXh/9DZMFkNi51f4joGhEZIQxQaun3L6CfPSv78Hp9upHh6f8DRMz5LHY9B4oHjgXJRDYUnBRUFVWUIFHacmUoLj9IpW54rbNKjDG5X4qWyxPfA90hdE5sydx2N58ZpRjSiEoQsrCZ8/uE6zbbPxJjAkTovGchwMPowmR+ca3HJYKCYnlK85tY+n3u8x+lmjZ4rrUxxwI0NbpR51qnHLhNrF1KedSLz36GNU/odFuheokgcRezasQ9R5For1Y2oeREvuzrmlisGvPmOPofPSJ454NILFe//fJUTcy4ISbfnkIQqK9/EONnSO2IZldO3uYtQ5OpFrBFap0yuqVRtQk4YzXVXh/zxJ6s88pzP6fN1QjXG9Ts81lV82i2b0T2xsCiq45erT37qnvgN3/Lqrw3gUhrWTdd+94otg2s3jStcRzDZSNg4JQjcgOnxDrs2dzi/qPj3/7XBv1NjCGHYtyfiba/s24L2BGbG7IesBcaOTzPZRoCXkmwiH87T7AqeedZhuSWpBJJHD7h84ssB/UjRjxQX5jy0cIiMixYuOA7Cd3CkxFOCQBqCFNi+MvjK2BpwJ/V8nYK5vawvMwe3Sns0Rc7enqvxvKxAK8nZ2/MilAr50lOKj36ljvIca7cN6e8XZ/DMC0+SzPFQ9Psub7ytx8ceavH+L47RiQNqqQ53Mx0eZUkZk3cLCSFzgNlfJUtavwRwbZk8diyTu44idhycOLFAVwlK2UH6E0HMbXtjbt0bYcSAt76iSz+yyZePf9nnsQMeFV+w1FI887xHqytTlSR4UVGe7zxhWwOvuy5kejyx3UCJ4W2v7HHd7gghwSj4f3+/wX1PVCGoM1avMrdoeGx/wnjdEkij3rn2rrvqv6s1P/Y1Mfih002E32jE5/9877WXzat2J0ZrRcWPGW90UU6EkJpuR/Dnn63wwinf0hSCw6cMn/hiAzCYxDA2obn52pB6Ja35NZeUScWtnroOax3F4895tJoK6Ug7E8U4lpmEg50L7IB0kFKmo9+sl+tLjSctEDwFnipm9FmQi6LhwbGNAFnjcRncluHTslo3Y/CkdMT4ToQxIeeWPMJBgD8m8dK0t0qr8oaymCK/vkOJr7w7XSvCyGWirtgyHeKJPr3YpxcLKo4dgpnVkGQJLSXL5a0y/132d2QSURfZU63zrHMmjeI4SfMGKp3LHhPFCSqyuQRHJUgZs3lapyuG5oqtfULTQzqaZlPw+HMOa12JyhXLcFA9dKWNrQuvBYZbro0Ym9CY2P43VQVONq9FGd7+mh5//WCNXqwJtWGhK2DBUFlNiBKNE3TVFdet7v2Rd7y1Ycx8S4h1Xx3gi4tLOGrtnX/yV4de8S3XHuOq7S6echDSEHgDHLfLUjvmdz40xhefqFtZkG7vFSNoGmyVm4TWmuHCl2qlr3gpgJdTY+nFEQKdbblAWnMqVBHkSJlaWRmo07SzJN24NfONS89O2kmvSLfeIwe3betSeCm4PYe8xNQyeMrijsZLs6OuG+H7EWeWNH/6uRo4Hq4URYCZyxNxEYOX/eFsSKgFmx2sE0Yu73hNj7++v8f++TqdxKUa201pbRWgKTpxVJYTKAV72bnMVgotSwVe2aHzWhjHUbiJnZfipkBXskia2brx9LXQ6eCgBEcYhEmYrmq+5aUaRJKXSiOy/TMucc3LNUZaoeMChkksSLByVSUJd98Q8rM/sMrvfEiw0hGcjqssdiQOVhLv3XqGq7c+8oo4vP6diY7/yd/I4J/77L0oKbwHH+1x36OzvO6WNV61r4lODL4bc2pB8MF7J3ng6TrNgWeRIwQgucQ3IXFLwM4tk7JGy9gtA/hw8CKkzFvQlABX2LSynw/utO8dSVpTkXaPZ4VEDqU5KKQ7sxVd9QXAZS5bfM/kLW2ep0uDc2LclL09J0LKkFNzgsVWgHAcfMmQPJHlr1W63GXpMAS81OkIY5epxoBt63scnBvQSxz6CfiJwE0Mbpzq8JjcWSpS6GqoUyE75XbSbtZoIErSSOMkmkRJlJNtX67SYrUEqXS6UujCmk1BLrLfjZ2SJdI6dYHJgZ45YGVOzwyGi+KwEgEIYYiFpuIm/LPv6POSXYv8xRd6HJ8PUJ6DTAyv2NfjVdfBtNfm+Sfu8y6V77kI4CuLZ5BCsKne55lT4/zORxr81492IQkRaKJEEQ6s7sVXKSBL4B7tcfqbHkLYZTXvBRTpvpiZ5wqOAFcYXJGCNpUA2ev8ZynZF6Wg5A22nhIW7EPglvbZy4CeBZ8puLPuH0fnEsV1rD71vIiYiE89VGF+sYI7pvDKNRxlB2X0Mo5Wzo0kffoDO8H29bd3eOjZPq04oOs4VGJNmKbTi20Wi0YPITRF51DhVg3Vfeh0poohnXIgcLQgVgInkekudraWJ06BXiTTdJ5gk1KXEm/pa1kGd2rz5nvFjBZovUh2KCcDk9aG21Xl9bfE3LWvTaxbYARR5GJMndXWOEdP+fSSuUsWegwB/HP33ktQCV764AMP33juwhLrGxqNw9JgjBBtm0MliGoWsWcW1aWdgq+K6+wyZMkCASp7FgYHcqtNpSnjfKahLF5ndROOFPkohDKw8zkoCtuPeCmAZwFnprudTJaYVG8P15J7boTnhsw1NU8erYDj4aTyxCkVKGXZPjGCcOsmlaru8r5UmXviUeSy77IBU+M9mqtVurGiqsCN7XdRiR1cqqIywG1GuahwkCOVmiLtm0zLm5Um0QJXCxIlSZQmUYI4BXm5eC0rh5AZyEugzkomBDoFeQroHNSmhA9zaSQMAbxU7yLspIBeX+clwlbOebS7FZbWKqw0JZH0brz+hn0vfeThTz14y23FlihDAF9pDZA9/S2+P7iuGw6IE4eqa1mhn0iivDiq+Cy54fc1ADz97EMVcDK9yzOgF+AwOYOPlnA6WW1EWgOelXra5uKsU8XKEpV3rxTAzppvLXunmtsh19uZJWgZuwC3m1cnRggiPvlln4eeryN9B08KO387ryAs2uiK7zuazSzqdHQ+A1CRaEWv73LrVT3e8LI27/pknTDx6SSSIDEMYtKVq1z1p1M5p0duqBdjctCOTJt+RQ7uREmU0pbRpUxHS+hSKXK5BsgUIB/KNmdMnl53UYrBxCVFyVclQUQBOp3mDiwJOHY8CW06g851vtP+FqnjB8v/Rg7wJw6cx/Prrzm8/7Pfu27iEGuxw2rPI3CNzfxJYxMTlLJTIzdkpq6/Sig5NHcjW8IyAMgSKCRFzUN5tEHG3HYLkuw9KYOTt2ENsXjaDeOqYXDbcQojzJ32bHppe5vrZA0HcemICIn4iy82SIyPyrOX5QCz6GvMnI0hDc5Iu56WdpRGkgWbDgKXt93V5X2fGrCmI3pJQC8RuDE5i0tpkLHIi86sXTiqRSUXFTxl2t/J5kWmIHcMSlu5kiiDSmwFo80ey7w0ubAoy9WdRRlz3pSSA93kF/7S/sqltTgU1efDHWI2idWo9WmMhXz8C4K9e/d876tf9er7THjic8LbMQzw3Ru6eL64LFq4sOs3Pr7CC2c2Me5YVyLrxct67YY73kuM9LXclSK9ITMwjwJ9pDwz1+IjmjMDfXm2h1Ki0OJpxd3QsJsU2I4ShZOS24G24942JpuUuYsA0ymxt++GPHlUcuR8gFEuSko8qXFG6zRKAnzURcmOrD81r7rMh1sqothl18aIK3d2+MrhCpHy6MWCQIKbGJxYpPIt7cKJUx2OtHJh6FeKEouLkjTKBvZk7oqtd7HgTtvZlCmBO6sFMmmZQMbk5KuHKIEbkU3M+p9j73Lx3WinWDaCWQg7JeDanQOOnD/J00fau/ZeoS/rdM3nLmLwZ46sUq8O+MCX4DOPTdFwFRMVjausXDCUm4bNcOd7idVf9G4shRblcksxCvQSuFVe813YboVkEbZ7XhTgtkGmyLvFnRzccgjg5eE/ttueHNh5tjJn7gTPsYkd2xUUYYj4yy9WWV6uIHzH+u7lm3C0BqV8Wkrnq2i+Leq4c29a2yV4elLynXe3efJog0ES0FUelcRq8aycVUlScGdrhU498az6w7I4I3pcp/Mey1Op7CFROluRTP7aAlym37PQxFmXvxCyaI4YZfCRppUXXe/zft6ifTFvfyyRgCGdt5NIhGjw+hsiIn8JV87RCLr5P5cD/Ff/6yeRUrK83GTHeIVaYDNyGRDtBSjNsygtdTm4c5BfzOXli1zIk5HnMqDLLD40XqxgbFlmcCVKLJ7JFYlyhgHuOekAIDfbOjDNcDoGN0/F6/R1MnQ4ynbu7D8FH7qnzkB6KKnS7OXwjTiawRy95cslpcM6PNXiiSJOHPzE4Ttf3ec9n+ny7PEKkXLpSomX6NQ9ErZmIz8/xraXifKaqtPfNbxvUZnJEw1ObiHaib8qLQlQiSmGdeZzWUR+Q8cjetxez3KxXPG+WMkvxkh5/HX5Mw45TfkGYxnIXVpdD9+tUKudZfnEBzCmkGgOwPkLc2xYv676K7/+P3a8cGCZQd26JNlYh2x+d5wU283lsy1KJyy7ES66oCNLU7F8Xczel5YoIgfO6DhkWWLsLMjMpjY5TrbJa6q91Qi4s/S9mzUmazszJG8Ry3o64/SIUG7IkXMO7dAD5aTyxIyUx47euMMnZHig0YgXnnbjFIkfh5or2Lupz7NHQhLt09MeQWJrtp1Ug6t83IIouReaIj+h84uRZzjTehgnH2xqf6a0nUTmaNIOIoPUxYSAbLpWknX35wZAEVwKaZA5ezMUdL4YwO2NnyWoRgCeziBPyoP1071QbbO6j+f5zK7fvuPu1/9IdW7uX3TXr99gAd5cnSMaNF/9kivX/9TqwhFiHRDFprRPuUn3gbf9cioZnt2dWV4YXjzAHGGyHAByGAgFsIs+RlViRTU0VDMDOUWNtCqBOn+dJnkUqRduwW0BXAwFcsvypMzeKu3r9EJW2pr/+ld1lnsBwnetPJFmaFUpBud8dc05NE1AF/pSa5mn7uPYoVF1+Kff3uYLTzZYHniE0qEnJV7aQ1mMfEgZvFxPL3SepzDoFNwagxxxVkTK4CYP0jOwKylSBreSKMldFHKZUujwop2wkClZ4FmWbMOAz1a1ctO5Mdn02rTkN93wN4yk3b4lzLZyh0EoiaKQfeNTP/XC/kMPDvq9v84ZPGw9g+671J3TXL49otOv0OpCu2u31XD6Cb00gJDCEAmBSECn49lebLbFEMjLAB9ht4LFRQFyOSpRhgfT5MCWAqmK8WOqBGpHSpxUkjg5wDPNrfOg0nV0Dm7XyeovhtnbVRGeF/LBL7q8cKwC0kVKiZ+VxpaszXyP+PRLvmg1YYnNc8lXkimxlukmTy5X7+ryppe1eM9nArTj05MevhR50kdJQVQK6EaZXJSZvKxzy83gCpSxq4I2woI7mxKmSQeoZmMlilk0xWRa28cp5LA8yZ2VMg7Ei4FleGRf3oycjdiIBP1I0u9LOn1o96DTTej0EuaX+6wlJzizJBgMBuQA37G5i1I+U8EadbnM+aUpFlY9ltYUQjhp90V5epH94NoIjEgXv/Lk10vQ91CAIcxFA2WGPOM8sBQFm+cM+TcBXBYAzxM9GcCNnZOdShFXFW6JWxoOVGhuy96uY6dWrTY1H/9SnaWmD0HqnohSMPYiEoVyQ0BGVQxfxGLetija/ZLMTXGYaCi+9RVdPvZQn+WOT6gceolM7UmRujeiaMaWBVNmwM5q8TGgczYvZKaTOSsqfS3T9xISRX7eyyAXUpS677MhnqnuHtLj5V5Og7jUXZ/f/MMgzxyeKLZbMIahoDsQtDqGlVbEajNmqWk4eN7QrSuC9S69npVkzpPPHGUpntr+0Fce/omvPP4V7ry6yQ27Y06cnQJTpT9w6A3SDpJ0PJtOyx0SY+tmpLm4abjM3Bd54JcYmjnE3kMnK02cDAF7ePZ3ucPFDndnGNzZzgYZc6sSc1/E4Nm4iWLkhKNs5vLEScHhUwEaHyGdvDm3qB4sxw+i5GoUX75ci1IwecklyIfHy6LdLHHAOFy+LWTXhj7LByuYxLMsnliZ4pRcnII9y4VeqeDOymjBvjfllkLQUuTWYTm2UdreNFqSau/suhRklINbi3SWSqbJxYhUERdjonzvZ90/pWrLfAeJVH9HMfQGCautmBPzhsMLmqt3N/m2m/fzitt3/8RVV9z99C/+2OGTzvqpARPjrfVT9eg1X/rKgMcOTvPtd6xx19ULzExu4PySymvVRQl8WXbJSC6pv0eDytHnfFYIwyAfliei5EyIUrBZANoyOOko4LIPXj7SLa1VGdwlkKf71btpaWjG3ip97zgRSkV86it1jixVwCvkiVuyLoduWC4eF3EpmaJLTFXYYaXdzbIy2tBh53TI62/t8tj+Kmg7xaAnJW6SZneTYalUMGfZkktBbsxF08eMEWiZvpbpqiKzw577JF0xpEhZXWcrrMmxUSR8yq9Jkz+iJFNfPAteZvFi6xpRwo/9s8WmYTXs8213rPGdd0QIbZhfla+Rp8P1UWhOOs0uCAc6XcG4J1hbqfMnH/e597GIPesFLgm9QWJ3S0v1tiADn/kaAktxse4eAXX2fjRAywAtLgHsnM2VKDXhlsCdzicstu3gYmA7xYCgfMSbo1OQx1aeqIhKNeQrhxR//aUavb4HVQdHClwxLE1GP3/5O18S4Izo7xFbrOyLR7HDWN3hzXf2+cxDXR495GFqLr3ExxPkN5rKf3+hgwtwFyAvbzllg8/0BlOWzRNp9bgusXYW1Ot8PLYo6W9RCnSHY6h8FS/FBfZnhUy9FIoyVZBtQymw1qXnQjWAyTHJXTckXLa9zdZZD8k45xcN0xXNWDUmVAmOjjVxmCARrJ902agEYeQz6HucOUc6EqG8jUhZelzaJhi2gy4RWJaWziHmHnmdSxFRgFqq0u4NSqS1KQW4C5BnZbMGxylGKDvpJkyOGga6m7O1PZSyAabnhURhwmcerrL/dBVcFyFVCqp0bkgpuBRy+KKOukbZtcxZmzS2KSUxLMiL0RuZXRiGDldsjXnt7R2eOVlhEHsk0qWnFV7CyGfJvHBGGNw+m5HPgspuNo1WApUxqBS279YUejxfUSVIXZplqItVQ44CfNQ6LWHiqxHBkCqQthlCSTvUf6wGgRfgmHWcOKsIY0mvFzG7TZJECXFocJ576qN4ruTC/IDN66pUArvNReAlPHkk4sJyQsWzpab5GDI5fPHKOB+WI4WDcEnNzSUAXgJ0weLFDgSFNClZhTljZwAvJqfmEiVlbsvYJmdqJ38uXrtpcOmoCN8Lef6U4HMPVen2PKi5SJFVDlKyBy+RxSx9z9K6lteiWHSllYWXKJ8t5pqovNunXg957W0DPnZ/n2eO++B49LXES7W40qCSzK5LP0NSyAOSkQyiKojLURTSRVo2z1aVLMjXxoJd6iLRJnTZTUnJSxfMXsRWxfvyTT+EmTKWhvCVJZhsrOE6msBPmF+GR14IbJmzI3CUz9z9T8GDh4AE5/lDXfvlhGbresl4wzBWi9i1uckjJ+HsapUNDUM1sIVJShkMI/oZLvrgox/44sDy4ve5HMmDylEGt3q7nM1UKq0wTCsKbTtX+topzwcfAXd6uNkU2rTA31GxPZwI142ITcInH6zwwPMVCByQtqHZLZXwDpXGlo/ym0tJlNKqmNt2WXN56qhkQ5QyoA/6Lndc3eX1L+3ywqmAOHYxQtETDm5C/plEUrB48REuzeTlIfZKZcxt2dy+F0gtch2e+/0Zo2erbcrg+dBOIS7N3kPvzRAZ5oyegnoIX9jsrefZzcJmJjucX+vymSfWs3c9NCqSelWyaX2Tute1Gdm7bkgQQhDHETrpMjUWMTPR5sxSiwsrUwxiQZgY/LRuQZkigBp1Pgq2tp9KDgWV5NZQDmiyJV2MnJARYA9JlXKavnSoEXCr0uEUm6BmgHZLoM6cE+uY2GelIjw34umTkg99sQ54IF2EUHkXkUo3Ui1nXcuOUAarrJ5wqJupVJFZMHdJg6fZO63S0Q/5PvEOxji87a4en3+4z+PH7CSBSCu6iUgLvlLQJZkdZy5mxfSzGGMsi5eAnv2pSkGvZbqfTxYUZ9pbpmwu7HN+DXWJscv5jExzZ39WIsaCyc0w6Qm7OuZzWGXB4L4bs3G6h1db4+Gj46xrGCarEWeWFK4rMVrjzEy2MEbiyB6es8TJuYT95xLe+/kGzx8fY0uDfMDjsF9dCirk8B1Y3KHiIhbPnIVR3V18IZEmCwrrKQN4PievDPK0Na3YbMru7FAMwC/APcTapeessTaTKkrFuG5MlMTc92iF545WwHVB2uDSE6Y0ObYcWImLAqtReVJIlOJF3gBRTk+XqwsTiVapo5I4DEKXq3b1ueNmy+K9xLL4QHj0NTiJyOWBTDK7MGWmpHSTUeQuRq1LJcEouwWNMtjspxGINPchjSikSimoLNg7va4jYC/L0mGsmGEsACIHtnWCtCjOk9aC/sDlmu2Kn3vHAn/y+QEXliscOusxG3k0anYnaOeP77EZKJ0YegOHJ47UOHa+AknA+ho0/DStrcqp8WKD1UIvmxKgRWn5ESN3qbjkz+2UpvIeMSP1J4J875189+Ks+Xao4aHYukSpEXCXhuLn7olKUE4J4KlE8ZyIIxcE7/1MnUHkQtVN5Ql5a5oq7xKcrWD5SjaiWS7SJ8NAL8uU8uYA2lxKizvUfMn3v7bLJx+oceicvfkSregmygZiSZr8QVj9naRjOUZWkqw4rgxwaQotLlONLrXBpNfISGEBrkuxUsbkunDEynIkY/YCvJcA9hCJGnszyezT2d+T7XsfRpJ2z0OpcW7c3eH6y9ocm+vw2EEXz4/w/QCtNc4PvOWH133h4YM/+66/eIhmN0BIxYSCRtVQ8TQVz84QsXabyAM6qcRQUCGFHNFXYoiZy9JkWJKU2ZsSyAu2Hi2ykqXaD5WzdwnYMgsuh8GdzfYr9Hb6WupCe6fBZWhiPvLFGk8fqdh2H+GghM1cOmkNdrm5uCxTKJ2Hr/oY0uBiqHhNG7vEJloOT8DSEq0dwr7Lvt09vv2uDr/9Zx497YB2iISkp22MINO9k0SSxQgW7Pb2yyRKqkXSgBdjUva2bKkMmNT7NqYAfwZuaVIyMsOrWCZZsnOixTDgc7CXZW5eqAU6xYM2BmVKcUOOM4XBJsR6A49qUGfrVMK22zW9CHTw8p8V/rU/6hw/dWbcpfO63TMxoVYkiZ2hIUS6caqkqMRzsgHpqUV3ieCQkjQZchGGZMkIqMtfcpS1h+rAzZD2zoFekiSqpL1VvtNDaSMqZUYkSVYpmOTgdp2Iw+clH/hCFTt/xbJ33rmf/X7B0HjhonljONAU5Te5LBnWvVmxVbHdS2mjgHzmukQnikSlWjxx+K67u3z0vioHzrogQ4yQ9BMXh7ReJDvXSUrPSZb4yZi7JJ2MfW/S2VjZZ5PpTSgNSGNlSwZiaezvMDr1x3UaoA7lM7jk63JAmd2AQtp70N4U6b+dkUDu+Ei0xg7kjBTtrouUAcbYepVmWzOxrv+6Su34uNPvhxiTMDupSIwiDO3us9mmUpkGdtRoBZ8ovOoR7UQJwEOaS4zetcMnoazfhmrA02RCeR+ZQoMXWwVmLK5GwG0nsur02dqBSmlU5nerGCVjVMrgiYr5xIM1DhwptLcU0nrfeQfNi1+04fdZoDlE3KXXww3IQ554aSKVo4WtTZFFCj+MHK64bMAbX9rh2Ad8wkSBcEiEQ08InCS17/JAN3NUROlTmCIENpkuFyiTMjpWmuRsnh3CFCl+kRbeGYHOZEopuNQlAtNliVIigJzhdfmcpirBlHbqk0XxVRgZpFRWnxsrXQaRoN2O8RsJrhfirJ+WeMJhcZ1PL1T0+jGDSBPHplBqolSTXfalc/Yug1lcDOih6DkFNlwMklHmHmHt7H3G2hnYM+bOga7KTF7obpUFkbIkTWQxNF+pBNeNOH5B8d8/0qAvXbIJWkXXfLqClGugy5KkbPx/NXWSJVjyNLnJW9gu7mCRea14Bu5EO8SJi5/E/JO3dPir+6ocO++AilKp4tITApXJk1SP58HmCMgzb94ATnbDpT/LNvM1mJS1M09cD7G5TrWzlgJhTEm+DgNdpEppKMh8EZKQBlvbImzDTUayUVxIX2MgSgSDUNDtG1bWNP6YZqANTtWPSWoRG2cSml2XtbZrU/NROiai/EGkGHY/siUlA2xmj72ITMn01YstW2VgixHWzhIpw+DWhUSRwwzuDPnbmc4u6+/SIS2Lu05IK9S862MNzi34oJzUGpSpPDFDvnf+mktfpNF9Jl9Eho+0ZpmibDa3DrPBPXJ4CpZUJLHDppkBP/KmNr/yXo9mZKceGSMZaGVtwyT7HAYSQWEbFiAv/t/+iUqRYww5c6sss5kFoNIUDG7sdTIZeEX6ekR/X+ScZZwwcv7yc6qH/5tyaUAG7kQLwgh6A0OzHbOwEjLb1QQ1cDqDAUL22TTbQy27xInCGLt7gAV4dpePOCHyq4A4fZG9z5IgyOL1ReCWZYlSZm1TCjZNHlhmja9KFUGmIw3K0Smj61yaWDmiS1IlY+w4f3ZUhONHfPiTPn/wlw0G2rXyRKhcnuRNxSOW2JDuzm/uMqwvDXFTEGjJKiyDPkvZG7TWeXYzT+FruxV44MT82Fs7HD7l8e5PWC0OikRI+tr2bsqEnMGLAqwMXUXqvmxXWlAXksWYlM1FUShmSSd1PIYSP1bGZL8rc89GtflQIlAUH6ksYy5O+RfZ4Wxb9EFkexfW2jHnlxOukglBNcbp9ASu0EzUu/TCGistuxejNtJaQ+XzMKKnhz7MkFNyieXnEiw3WphTVKQVursIMtMtustbBqqi2EkpXZIqGZhLTC6L6sBcd+fPdtbgyir81ReqrA4ycFuAu9Jqb0cMy5Ohz5rFJCU857Au4bustXOpkv7BUFXf6NaLeqROXEqUVmjtECcOY17CW17Z5aMPVlluK5ARaEWE1eOj1YXDt9yLM7nNAxVJoaw+JQs2TcriOaAzHW4YYeyyLViAvVjtzcVY0sPYoYSlPF+WBuRxYkgSQ7NrWO3aRFC9onE2zST0OhEXzvZYaYV0+16+3EhRXKkheVm6g8pAvxTAGQH3JaXJpYAthqWJzAPLcoPBcFCZDacpwJ0MBZhZkJntc+OU2NutxnzySwGPPldBl7S3bWrI5MlwvYksX5RLLLVlK/zSJJ6yZ8kqHC5sG7UO06DTSJQpfPE4cXF0zC1Xh7zhpi5/+ikPVAhCYoRgoB2UEHYLEkwJRIbio5U0eckHV1mPRGYfZrUzslQoJm3vbvn6GSOGZMqLae2sziS3k7P3FCfuIjItFayIdDWRwu5CPTE2YF0c0u5Lzi26OA/vD7iwUOMrT9RZ1zCsH0/wPJualaoEyBLQhxhq5HX5+ZJBBGnAI0dBXgBmtBWqDOzCRUnfK4OTjhiTMnVMpEl1dUmSZI6JLEkUad0T3404dlry3k/WmWt7dr9raQe9K0GxY8NIvHDxRRNDgP8q6qRg81yilGtTLp4Dkg+8KdWJK5k92+1P1tUSfuANHR58zufYvAQRAQqNpC9kaRMpew0yUOc2ZvmGK/N5ns1Mr0OZzYV9LQR5DXl5ZdZZcJsF42WZNLQlYSreS0Aus2tBqMVntjLGZr5dJagFkst3Qr3SYeOmLtV6H2fjZMLaquHCgk+AYryS4DiOLaxyCvfiUix00bV7EYAP36XDS3uuubM/y+urL2bui0Cez8gefZ3k2jtP6GTjgFWMkglOagt6XsQg0fzeBxs88GTF9rZJx2pvKW3Xjijmr+SfNVtZRletESYvn6vy+bo4g1m4FsUe78PbMBZltBqTl9Pa3EUsHVTscMf1IT/6thY//3seg1jaRlQtiVNXRaY+nf1sWYawZFwa25JG6fPZ96IUG6RuRpoEsiu+yG8AIyjJFJFKl1EyKLKTFjOFXTkUvozUiZf/jg06DY4jEdJurz5Rc1k3GdANHZrLDs5CV9IaSGqeYKySjTvLJrHaKr08Ah9ayUqzPIs4tMTmF+9xfrFEKUuTS7B35lpkW/KpEXkiTf4zu222LkmU0tjfTHenM67z4FLGuF7MFx93+egDVQahCxUn1945e+eB7cWZy1FLtHwOsuV0+IIV56xc2FSMSyiDO0tulNjbFPPEpbZSJQN6HDtUqjFvuaPHPQ/0+PzjytqG6QTgSDj0KBEWRQCYs7UslfKWVhlrEWagtu+NAJV+PytbyKVJBvRCppTLN8gZvMBLGWPloOXiPfjKAFdSYtAopYgTaHYU9YpPddIg3BBH9xWBkGyeFozVHSpBtqOvnRmi1Mjvy+/sFx8VUV6eh2QK5EtVznzSXEJ7m7QX0wxbhKqYsKRESXvnk1ALYDtqBOiqALeTgttzI9Y6hk8+WOXQhcBKE2FLYkWmvQWlCVLmInAXlXJlB6V01f6Gh/XCRW7JDR+iAPdFw4GK9L2UCqkTpHaIBg571ke84WUdHj3g0QzT9Ku2ejxEke0DIUnlwyWnTFmNrcpOj7TXvGiGyNg8kyppwkekNeQ50MXICm5/V9lFGQJM3oVxsYQrf8Zs+JDd5My2La60FFrX2NmoUq9UcQLH0AgE6yY8psZdqhVB1bc7GzhOyrKUl9HUDsovQPFnojgXI4GBGVmeSsmHi4LM4ZkbGZilynzwIriU+WB2M8TYQwFllsgpuyjSdsprEv7kUxX+4CN1jEg12RB7U2jvIWvwYqCXg55iIX0RjA9dsEt54WWZcnErW7EHqUYnEi2tL66kJkpcpNL82Ju7HD3v8gcfdYjiAuQawUBIlM4GSWQ1HiWQ56BOdQZ2EcihJdKUfs7maWZT2H/TpKuzyYAui8DWgjrF1EgQOUqVmUWd967q4fr1bCpx5GiiWKb7syp6fYfZjR5e4OJMNjRSQ3tGMVaHim/3pHEdkwMPSnsuGmPrlE1h0Whz8ccrgoKMuUk9TVNK9pjh55LHnTF7MRMv9b5HHBOZgVuNyJORPetVuveM1eARrhdxdE7y0ftqdDouVNTF7J3XfJdWF1EkeET5+428HtKXfyODl0CfH6WMZlZhmDYd5ECXGdAlWlotLqVDFCXUazFvvrPLZ75c4eiFNKlgB1STCEEvTd7bZEoKblOA3eSgTt0S0uRPvuBkTkqWuk/ZG+toGFFcY2MKSZLXdYtS8ukS56nocCrd6NoMDQzN8CXTDPYg1PQHNubasJKgVYJz2TbBygqEbU01SAi8BNfVeXtQpgWzwStxIkik3cowSe3EbBgi+Z1VWnEuyeBlBjRD8kTks++Gg8tyYkeK8mD2zDnRQ9ttyJIskTJ1TFImdxxbjnDPIzW+8FRaLShdC/AR9s6KvJQQw8EwRb1E+btlCBd/E7KHCX0Y6KVD6zR7mDkp6VYkVnfrQqZoSSIkKpFooYgGDq+8LuSVt/Q482mXgbY6PK2EIsahL7AVh2RAExY9oth9WuV0VbCpSjOWGfBNCmiZYSAFspTDQLf/boGBsu08im5DMZw023ol0Xb3vljbUYIZyWb/vutA4Nl9N8+vKkLHw1np71rrx0c/s2lWfNt4vY3n6OKDp9VZUSyJIkUYG6JIEiWCRNj6Xp2WZJYTF8O2TlmDF4xdTseXXQkhzMWsnQO92GVg2DkZ1t8qT78npdcxUtpOHenF3P+4x6/+8RiJcQrnRCqEkHYfIFGk5YcZvOz4XJq9v4Yk5tCSN5y9LHnNJbmiKab7Gi3QonBUck0urTcutEMcazwv4ad/sMWhsw73PybRnkgha79ApBU9yoLKlGTJJTR57oWnq232edOA0qTNEEIWLG/PUwZ0UwJ4eYUzw+cpPR/5JOMU3FEMUYIdK5iOEYyzhFgqmVxpmBn32LFp7DO337h9Tf3496iOL08fq1Y6P+o6yzRqHTbNdJgeG+A6cQqa9G4zBUUNffVSlHyp7ORwPXf6Pp9WSu5h5w0M5SylGknmpDXeXw3cZaniDCV0bK/l2RXBr753jAefqtlNeaSXlsS6OFJQkeBL0k2uhpuLLz7S5o98SM7wMCIls5zCSMN0SdcX70Vx04+ct7K7VCaD7O/nUq/8Zwamp2J8x/Dosx5rPTmy1Mh8inhRcWgvqBgC/tdyt5ZuhBdbpSiGtA6tXJmeH7JNCzmSJHYAbBTb3S16IbRDwWpfsdCRXFgVrHYN2o1JZIT0XV44PvcDH733mUPO7/xVghSGfmRYa7psno2588YuDT/hup2GTTM+y80GTWGKbaF1MSAGshnTI9NDKc6jyEo2y2PFRv3k0gheOSJN5CU0d7bDwCUPVQ4s01LY9HXiJbz3Y2P89ZdqmECBUBadwkFIOdRv6VzE3i9uDw7thXnxNb/IAzcj7/PVL2f14W770Q4fnc4PNClzG6OLGhUhkVqRCAfZS3jLK3rsP+7yzj90CP14yKg32mWQ1s6IVJ5Y7Zlp7wywlmUNaXYzDbxSA8gGm8LKE5neJCazCDMZkRJlocnTc3eJmX9DujutN4k1hDF0QsFSV7HYSZgcb/GKK7vU/YQ7bgzZOGXQZhypfDAap9eexHMES6sRz52o8vRR+NJzEYmOuXpnm2+9pcW33tqiEigGkcNAqsKkL92zmdFf9jTLSZ5RB6KsvYd0eA7scnIn21VAp8w/AnClUwBnIC+DO0GWak8+/5jPH3+6Rj9JjX6RWYNp1lKYIe19ydR8GegwIsOGn/8m9jNpcJd5VRdlNFMCKdeoGFnKbMqSsyKUBYRMi7OkJtEOvqv5wdd3ePgZj88/Ze3CzBtHCrRxGGjbjpZp8CKayu44K11yKSUEKvXCrR5PnyXWZcuaFTJzoayXZYqPDOgjJFB2A8vnQ2uIYkErlLSTkO951QXeeEuPq7cL4thnrOYjjMPZxQla/aqVpuPjEseRJCTsWW+vSqfv00kCHn+hysFjNa7ccZ6dMxGrrQpF/bIYVWgXJXUyr3N4GR21By/B3OkIXqmy5gJNkcUs63A97IGPsrdMigDTiegO4Jf+aIzj53yMU+yWPKS9M4k0BOwRQHMJMOcQziKn7MS8uCAv24RDFzN9XVixZT1+cW2KlmnFoSyzuEIkGiEcZKjZuSni3/1Qk4f/jU+7n36Z1D8GQYJDP5ULFo0p2LMbTwI6BbUhd1hUGlCW7HyMzCoFixEjWRAqsDdAcT5NLo1yg6KsBEaCd4DmAPZsXuXfvK1PxR2j06vSH3gsryl0IljtKrqDyK7C9do0Uikc0abCgEQLBpGdDd4ZwEKrxp98eop/9R2SMHII0xnNOptpzfCHKT5UqeKuNE63zIQWuGV5wpAsyYEtTOqQlPeIKSVvhlyT0u68qeftOBFxAv/tw3WeOhhYz1tmzF04J64YliVKDLO2KIN9hLlJL2h56Oal+PoiJh9xTgoCoShmSjciuKjaUFgGz4NOLS3IE4kW6ZGkUkVr9l0e8U+/o8l/+eA4YZKyOORRYYJioDMtnhaVlECeSxSRixYrRWTqUZcYPJcnmQ2YFVKlhxmSe8W04Rzf2a/M0vEKXG1zcRMVzQ++Jqbb3cDptRqdnkM/lAxCySDSbFg/zubpCkmscX7yR7+FSqXG8WMv8IXPf5a1jkd/oPPyw+0JNNx1nJmLiRPFIFTWKtRi6HqVBykWY7suzdqZFy4vqb/NRSAv789YsHdS6PJyUmfoSAPLIOHeR3ze/eE6zZ5rPcDU80YohBCpc1JkLcvBclmHF6PZLjGDcCgsE/l7MQroEda+CO9DQDclZ6XM2ulU2EySlJNAwtqIiVRIo229SqxoBJoffmuXJ17wuecrCqoxeeEIgBTEWtKHglNTkBtsaSy5bWmshZizd1o6WwJ3bsik0jSzDrNbK9vs2ypeK3NH2VtCOq4vK5uGim/oNtfxyAtV4tju/BDH0A8F5+Y7vHb7DWy7/Gra7Q7OQtuhZlxOLUnmm7BpUhFrldt1ngNjdVhtOVboJyLXUsOTQ8vp2EJXl1m7SMOXZIgs/p4qAzxjalVseFSAfYS5pbUCZb6vug0spYyRTszBkw7//UMNji57aXGNZW37LAv2LjU8D4H8UvJkSJoM70c/uswOPbK1eKQWpWDxIrGSN0JwqTT+yJCgrBDL6HxTWZFJFWEQ0kFGhl2TMf/kO9ucnHM4ck5gnPL6L0C6JCnIGQE5aRJI5cu1KQE8/ayZNMnYvCRJMqaXI2yeSRiTAqt8jvNcA/bfD1xDogXPHpY0agmuK1Dpv5ckgpnxiB2bNBtnBd0qOBMVRbUimQwkY75gvFHsWRN4hkY1IvAjzi96LKxUi92EnWLYjpLlZbyY6l+2rwrbSxeAHtHgqgz+kmti92hMAa50+n40mVMAXakEKWM8P2auKfilP2zw0S9WMa4q0vGpNLkUe6vRm3LIOSnAfamkTpnRS1H4EOCHWHsE7NnPLq5JKevwDNDlADTr/JFpgJe9ToPPRBOjcaV1VZoDyU/9pmJ+TYAvhmjX4ORMXtIKaYFV+iytH28kdv+eEtBJZUW6mYS9CUSpGSRtm88igFy7C4otJhne5CDfjkbChZWIIxcSqq5mrJruuaQEnisRxqXVCWh3fbq9GKdRVfhBZW7rBj73ilv814T9NghFxY+ZaPTxvDb3PQPnLozR7QVMNCQVH3wDHpmDMhxTZQDN9Hc+mD1l5VGXZFii6EsEmLoE+HK2MilpceuaSGnB7ToxIZpPPFTj3seqaa1JZgnKlMEz9i52DS7PG7xkMVVJf5dX1NGalCHAX0qLjMiVi3zgVPQZXVTplSsNZeqmZHo8EQIh0sRP6qxIKdFGpT+TCGMrDn3H8Oqb+rzx9i7v+4wkjIVN2+YsjgW5kTbw1Lbk1WQBqM7Abj+rZVCTFZnmWl2LrNQ2BXe6J1b2vUjlSvbzTKpA0azsSLvXqedKAl8x2ZBMTvWoTLZ54Ok61abLVNVQ8QxRHDE5Oc75ZfO5axxvrh92Ub/xn3+L737r5WuGwVocd75Hh3PMTBg2zTQZayzx/i/Bf/vIFM3VgHpg8o1Uy6PTVAmsRZNwGdxlL3v0INfSQ106o1ZgyTkpNLhO2brIWEpp55wkUvOxByr8v78/xok5P21iKBI6SAchBb6EQNpB9k46Bi6bLX7xcKHsu5Y0YdquZn8uc8axA0KLIf02WJLDiZvMqRs9ygFtOdsrSgSS/7l1IfKCJslFf/cid0sbJhsJV1wWc2ZBceS0YxM++d2Yvbb9P5pMgg4vS2JUMGf37NBNLi75cvh1UYEpS+c32+vUdSS+p6hVFFPjcOPlMa+7eYVO1OG+5z3Wel46xyVm33XbmJ2t/n+f2X/okdfd/Qq7R8/+Yz5SerRWa8xUXK7a1eTRQy0+8pWAex6fZcLxaARWSyXZDmvlZXXIYSj0tZIXB4/qkoFkSWeXbEH790v7o1+CuaUs3JLMEnTdhBNLknd/pMahYz7UVS5JbGLHau9MmuR9lpRAk32fMnOXD5ld09Hs3whzD70vovJLJXssa+uRhE/hosg8yzecvpcCtLa7DmfeuMiZXabXR6OFQhhDoh2igeHyXRE/+JY2jz3ncXKxtFTlQScYrYiltMFjGlxmz2QyJS3VULJwVFSmeChqVUyWks/OTWbipNanKLtJpUdGFo4SCKFpdT2mwwn+yRuW2bP5HB95aIInXphi3xbJZetgx6ygZ/WVBfgN112LVFU6KxF182WePN7nP71/ggOnJ9g87rBxTFP17d1U3ncmO0ZBINNGhCJJU2b4olqweK1LN4S2f1aSJ6ocZKokvRkyjztBifRI2XulLfjt9zW476mgqBLMMpYpuJUk3aG4PAa5aIVS5e9TYj9RwsEo6Ect8K/1Ue6uH6oqNGX5kkkWC6hcpogS+EuZTikMWhiETmdPCmXfC4lAoYUm6Wpecd2Af/6OFv/xj8ZZ7RVuCqk0yUAcS5FKidQeLlmDyEJO5aMl0hqi3FVJ/x2EKazEDOS6kCXZ/PHRSbfZeYhjQbevWFipsUEZ3vayFa7btci/f3fEC8cn0N5Wtm65lrV2twD45k3raIyvv+c3f/eTv/roCxt+6vEjIc3VgJ2TgtmxhPGaoFqR+J4djp9J2eFhPCOyI3NFMifkIq1tLmLsDNRZoKly/a0vkicZi2esLdN6k74w/N5H6vzhh+u0Ezd1TbLDglsIO2Y4c06Giqoy4FKsSMOBZXm3sItSNwghi7dfA9JHu+vLLoopAb7M5sX8FJECohj5Jko2otDSBvHG2ABUSIRQCKFJtILYUHcjfvStbeaXFb/zvga9MsXmoAZSJs8Cx9wxSQFqnRBrFSqdvsbiIAN0duKyILW8y7i9Ea0cStIsaDHCzlrWUWzohYJ2V+IqF0SNOBZsmWrzn36ox9HzNRqT5351+6633XPy1PkC4GMTG3jPH/1cd/OYOnFu0uGp0LCxLlg3phmr2qHitYoi8FU+iNMt62VFXixVMHfGuMPMfZEkKVmCwwkeXQJ/kYKXJYkiR7KVxtHsP+Lx5/dUaUUOeBmoi04dhESQSpP8MJRtTFUC9ItlL3PZ8f9v773DJLuqs9/f3idW7NzT05M0M5qonFFCIguDMMlgro2/z2AMF9sX/NnYgJPMNRiwjTH+DDbRgDEIZJAJElEgFEEIZWk00mSNJnburnDC3vePfWJ1jwJICPjufp56urqqurv61HvWWftd73qXWPw4onwlfjSkZ+X6FMxZBMv11gbIunASFKyEdaLqlNKAOQG5oS8lSiiEEEZpKHQCco1UmihU1P2IX3/2At/6gcsdD5jNYTGC5yAXRFlhh5xREYU+TtUbvfOSPoVIrrXOUhRIUj6lzWZZJy5WMUTSDB6OIkU3FFhdiWVJzHjLdNqxjS0kM/NV7t+3sPv2u//f1l/92V/mAAc46ayX0Kj53HPoOmr2rYwP2DSrhkKs+jYVX1LxJL4HnpvMm0zGgpS8AUv9kYUWs14wFxmVEruiS1HbRPK48Fic3PJILmWE5cTctcvhje/u5+4HPbQj87Qki+CyQAvqzMind1LDUtTgUmlKaZsloKjOeVzpSq/CrgjyjP9hiQAAPt9JREFURXShkZDKFGCFaC6TiqZMpLRCg9DaeNykjllaIhKgx5jEVwSak9aHfPBPZ3jduwR370g2J2mqQgHk2KbaXQSr1DhpLi5BYmS9dtrgkPqniERiK0wakwxYBSAqHI4soMQm4ITJEOLsKqqNm0AQCbqBJAgtGtWAc07bSN+yZ6HiFosAXq8MUfWrjNbrHDdiMdRn43sS3zOpie8KPBc8x7SzuY6ZFGxb6bwbnZvvFNrIihx3sfxe3lT2Aj9JU7L8uwzuHPCmoGM7inkt+dcra9yxzSO2ipE7zb2NK0hGC5ZAXayyFjeSvY0aPbYQJbDnUf2x6sF7paNFhGu9OKqXI/sSmnFt7IyNRt8AXaeVTZFsYYVMCnJJuqI0MQpbaE7d3OUNv7rAW9/vMB8JcIrALt43VhSBMkHepCsau5CWWEnKkmpVZKpbIUkHk2OT/h9W6UiInvsaks13avITRJJuIGh3LObakorT5OSRZYwvGyPotrLflgG86jtUK+6OVeONnSdtHFynVYBjW9i2aT527d75krl7a+4qpTIb4yw9EQnQHylaF6K2KD0W51+LKYpQ+abSiWgpwSf+u8YV19ToJuKpPHLbWfSWCbjzkXtLzNl5lI1kCuxyMUdk4F6M7EdLT3qjdy5P7c3DFYUNWLapTHLwBCgG3HmqIrTJxZVUCC0RWic3meS9KbOicWPNy5/ZYttem09cWWchxBwwlRycEshBIQlJ1YMCJQ3DZgszDtwq/D9SGScrKzkB0qKQlSBeFzYbxYabtGUtjiGKjYQkCBXdrqRlG+JDCk2j3mBtt75TWt4OVbgeZCfO+973D/z2b160c2zYG6nYk08nmqVWkdQqiqqvqPga31V4rsJz0snAOhuLbVsaqzCiL7VNK/uWpM5TeVWyqAQs6r7LtzznlqntgzRmPguh4ONfrfGuj/VxeCrZVBa47kxQJSW2MI0MbqmRIS3R57x3qTGjeALI8izI3hEr6fiVfK5QHknzQbaLJ1eUhFwpj52rWRPT07I4qchxFzfFQhaeT0+67DU6qzQXq85F64hmI+b0LQFzLcG9O21TBFqK+yyc6RqIEzDnZ2uuOE1USoXnRZkKzR4TZRYp+T1xogdXxcaHMO3BVEzOdLH9EYaXrfmXu7ft+eg5Z526OIIDDPYpfF9cvWcnl/Y3xSm2FZC19pe00D3cduFrXkJPU4xy5BZLRG6jV8lTF5FE6SxaF8AtRZylKtLXfPnqKn/70QaHpm0TmqW9KO8uViwdUQCy6JmzwyNE7iI9Wozghc/7WHNDH+sqVjTTB9JUBXpz8YJJZlLtVFokVsN5OV/onBMXIo3aIJRKKEOdpSoCmzDQjPXH/Nlr55ick/znVXXwdXmzCQlxDcYezjRZaAGxMJvUWJgc3E68CpVMy/kCJUyPa8qTy1Rrk0pwtc4H0Io80BT1T+n5JgDHtoiVvKOr/Ks7Yad0TEsAH139Aq7+4l/dqBG3jg13T7FEgELmBpDpAc9O6LJCMFX25ayJytKTYwNb5zl34WsKdEvGiALvLYW5WZ5ix36b/7iqxsGjLvjFdKR3Y0lCCxpA24lgqLdTJwd5PnqvmG8XqZGS/LMU1XhMINeP9nxBeNXLDS/iyBGFgovIgC5EsvFEIIVpVs7TFJlx5Kar3srAHgWasaGY33h+i5vvdNn5sAtenAAbMisJoJAEoBDJzQDLwURfKwG6JY2Rp5WdBBpbJz4rIt0EJ2PDk6idVWKz45I7OhhfcE2tajEadW79/rXfvvHD/3TZsQEOsH16GVpbrO/fx5YV04BLGFmEofHXiGIjqNdaZJE97copltSL6j+xFLClSnQs2gC4J5qLLHqXAW6JGMtV7Dxg85cf7ON7P/ZN3iF7GZMc4LneJJ+rU9KZLJUqFF+TWV6Uc/E0aqdqyt7zYKlOn6VYkvSsyHxACgDOvy9YNBToQalJ2gVFwocvFmUJzMxNoaQBkpJI0kJQnroobWVzs1VH84zTO7zjjbP8xQeb7DrgGvFRKXqrwi0/3mkUTyUulk6YK23m7WT7H5noVbQBvaXzJuM8apvjqpXppIuUIIihHQk6sSBUMc/eGPNrz+8jihUf/qcynhcB/BnnPR8h7WDH3YdoBw9RryoaNZsgqNLqeASBQxhbuVUE5SaFvBiTpx15yqELoE6AXKhkpkAXopiixOb5JHpbjmLPUZu/+tcmV3y7SiCSqVhLABthcmQ7vVxSbmQoWlcsWY4vRew8OJeYkuLjjxSSi0/2hO8U8ILFZerU+SqTzJJ8X+jXTE8OXaps5o0QUokkNcgju0oiuE6ZFZVuBxMKUWl8O+bXntUmVvAX/9Jk7xHPMCtLRO/81DXeK1rnQBcCQg1uAmI7YVzM/VzjYycb41iApUxqkv7qWEMQC1qRYCYQBFGXaqWD6wtO3rSBC897URBGEfC/Hhnga5aP0GzW/uS6GzZu+fvP7L/o6NwCv/fiCV797GmkbLBAFUIzACj7YAspSipnLUbxFMgpsIVQhcivsitA+ngG8DSSp5HbVuw9avPWf27yxe9UCWQy+XXJ1MTKKpaZeX3qVMVizjvluXs3bksCv8CalNKTQiR/vKuoTSlaKS+VkqQVy/T5rIK5RFVTFHJxo1uRGaUotMwuIym7giZJWTRE4Ngxv/7cNrYFb/tAH3uPukugJgV2kkinO2QtEx2KSV2i5DjbQpgURiXOBdqY9MdCYCfWFEqYNCUlCSMFrVAy0dWo7hyvfs4RfucFAVhDDI2vutaprf0TOnOLjqvV+8C73/0uNp98flBxK+fNHz186pEp5Dd+XGOwOc+JayKi2COOLdNJJ4pWavn8yaKra9YMXGgvy1mR4slQFlRZWbEoxhIKYcUcnLZ52//u44pvVQlSrwZZrFQWeO9Eb+JJ00jsFBmT4kazkLakY8FT19tMPShShiRnNfIUpjxlLn1dauvby6Lk03t7Tq6Co0PmultibHLmpjSHvpdN6b0aLXGSJjG/zOfDoqtUUlXBQrF5fcToUMzNd7nMt2T2XJm2LvAfOiE2e/QGGsyIciBM7xfSr+K1sJiixRrmI0EQBbzqGYf401dFzMyNcPDomnjZ2Anfnp7Y+V8jy7cuAviicxGSD4nZNz7vQuus6W506uG7qnzoS2NsXTnF6hGLSElSq9xM0pq6RllJV02BBRGyGJ11lvOZKJh+nz9vIr5CyERYZWkiW/DRr9S44ptJ5BbFtKQ3Rck3lja9PZaPULFMO5Lo5cQLhppLgSYDR57PPJ44XkxRijjJizq6xJ7kz6URPW/aLVU70+eSG+nmE5lt6oRxzMxK94aNyTehKmGzbRS/9tw223fbvOcTTcM0y0QCqHQpamdyy7Q+n0hvi1+VkElUF3SFwNUCTwo8rXESlwFH5s0ztgSpYMvqDq+/VIMaZOdBizv3+ncNr1h44/KRxpLHdkmAv/Klz+Fj//kfcRQdrx09x0ufFnFovsqhSYuGK4gUeSoiclNLO3FulVZebRSYHNtYRySl4bQRlV6Qa0hTkzSNsTRYgm/d6HP5typ0MxK5F9yycF8UKpY9xRxyoBf54kU2EIUoVky3i7m2KAA6/bJIJvtYwJ28cHHRp6dUTxH06Umw2Goi3XQacKeSWkG5Mz8Zy61lkr9LYpGmK8bIMh2WKbSFVuAKxSuf2+ZH2xy+eVMlaYAovGNtPr9Eglj+71NwZ9STLIDdpqMloRJElqCCwYZEYCVSEMeCZXXFeMNj265RJqZrjA4qfvVZq7SQ8/GGE1762AEOcOHTnk0YtC+vxns3zs/trNl7mhydqFJzQmqVgKof4lim0mhLhW1HOFaYjOkzHiSOHWElzEgamuJUQVb65NPiQxrJkxPDBmEJvnq9z598oMl9u12jcZWSpSO3lW0sS5x3Dx1YahrIgKlLuXh+ue71HszpwZLQaglQPyq4exBdpAHNYyLnwClvLEu5eKLwSyOy6OXJi3m4NiP+RFLCF0kurtLHsnJMwqwomUq+kGhOXBfyvjfP8hYLrrquAlaclCOzWqsBd++ZnmlaRD52jbSkbINO5ntqC22ZdjY78W62Lai4mrqvGWtUOHhUs31/m8n2qoXnvfDCy6uVyjGPsTzWExvXjekdO+/6gF0/fuK2+z3QDt3AYq5lE4RWUjhIhj/ZZra76wR4TodqtU2j0SKIu0wvhEwvREwtRHRViNfo4tUCHDvEkumt0CQsYgN0G4Qt+PJ1Pm/93wm4nQTUHAPcCRiLnLcpDadS2J4eS2DJ/HQJJqVMDS4NYNFz5xG5bv0Ij/eKr3qqfilwy00R6UmSFn/KtYtsDEpm4FmmEvPH8ucMHWyZtjdtmBHdhS3Hhbzn92d54YXtpMSoQMdJzT4GFZVvUQitEOZDqnaH4WaL4cYCw8156nYL5lvQaUHcRsUBnVjTUsaHUJsLOK4NNV/i2hKtHU5ca3HRuesm7rv/7g/U+lYc81AfM4IDbD7+JNrtGaYO3MbuAyFoizj5o2YTlkRuJ8RzulQqHVyvy/17JXftcvj2Dzx27LXMBktrNqwPufisgIavOHNLyEBDocPkalYAh0iQ+eXrfN7+L03u2XGsyJ1e5tJdmUgKOUXT+vJGrRi9RS/Ye8FND6iLeXgxfRFLROvHkYcvogYLDEr2fZKHo4vsisiadXN+PH9cLYrmvbpxk3uTRWnzfRrRya4IJoVRAFIjA8WJ60Le9fuzaOBr1/lJBCnsONMTMICBZszpp4U0/ZiLzwrYuC7Mcusde22+8wOfO3Z5PLCnAk6E8jRt4eFKQSWZ9Jd6OCKg021zeK7Jc8a3MtDffMRj+4gA37BuvLv9wZk3BHL0C/sO7a4t63Ox7VRBGOM4JnJXvA52ZYFrbpV87po+dj/s8cBun6l5i3aQbH+04rt3xXzpmzG+H3P6SV1e88IWF50a4Ds6rS8gEr3x1Td4vO2fm9y7yzU8X4ZE2QPsPP9OOe9i9M6jtl6Uay/ZLX+M6N6Db7IMvBTORc+3jw7x1I231+Uqfa5ITKR8OKSA7bWTKOjHRQ7uYi4uhEjy6iQHTzrjU3mtSqubqecKEpHk1ULrzItFB5qT1oW85w/mUAquvtGnvFM23e4XndnltS9sc9qJXSqeYrQKnofZjAIXbI259MKA7Xskux+2+ew1da69pZ9Aw7zwqFiCqjIalDjZW6xcpmmMjC5Eijd4lfHuTwzwXfuOqubAcbdccO5zZ6ePfKY20IypejG+F+E6Eb4bUK+2mJxrc8VVHh/5Sj8P7quiLQeFbVBWM+BGx3TjiIdmY5iJ2H3Y5tofeLz82W3e8jvzrBpU5gAL+MZNHm95f4P7djmmsJCmJRQ3k7Lne5Nv2SItB+fy115/wcWqwR7PwQSh+Vi7PP8uAj9dpdRkKUwvkY4ufU1Ng8FiKW1501kAd+E1KZDziF3MwwtlfJ2Ydeq060cVInzCkyuNkOl9C2HpJKon70TFyABOWBfyd2+eQ2v41k0esTBc/MqhmLe8dp6XP7vNcM1wMekcoda8TaxMyoOEgYrmaZsVF5wYcvbWKT72lS6fvTbk8OwAs9Kjags6IbS7MD0Xsvdgndc8/zmzK1euvqXVmlQ8wrIe6cn3vvfv6GtWWguzD9803B/9lgh3W826ol7r0qi26W/MM7XQ5i0favCxK0c50OpDu1WE42M5LsJ2ELJoLp+EVWH0CgsdwZ0PWtxwu0OtAqtWx1x/q8eb/6HBtj1OIrqXZVCnUTtlURLKUEoT6L3EFTafKV+YrVMUWRWez7vji3xzgfuW+fd513q6+SwrCVNuPLNwyzhyUXh8CTlA70kn8veSXW16ZQYUTsJFVx2dPy50dvJlm3mKJ3J5r0F2QheNnMoMU+Y9qGB0SHPm1oj79thMHZb86rM7vPdNc7zwvA79vkLHgjByCEOXMEpusUcQuYShRzdwCUOHKHIZrEsuPKvL8ctbXH+nxcyCC9LGtUzw6nQDTj311HBoaNmvrFx53P2OU+Md73jHTxbBPc/irnt34vmr9lvV9s5uvH1T1T9CX7XNUN8cR2Zb/OmH+/jqjSNETpWqY+FbBmip7iJSgraSdGLDnxNL0B3MjlvRjSU/uN1lx0M2O/dLLv+Gz/ZddmK6klJLxZSk92aOuC3yKmXWqUMvg6KXAFSPrUL2IYrSBw75h7uIC3+UiP2TrFK0FrqHRUnui540RfSkK6VoXnw8sYLI0pScUcnpwwKFmKUyyeNJZVImjIyONJvWRrzvD+f43Dd9/uAVLUaHY0SoiSORDKy1iWKHIHSJIocwtolji1ilfLkpFjp2hOcGvPCcBYQ+zB//GxycGsKRDpYOOXNLk2ddsHHnCSet3L8wu5t639pHPI7yUY+0sJg9fOueqidft/q4DTj2FAP9UxyabfNnHx/gqpuXY1frjFYtxiqKZRXFcFUxVFEMeuY25Cr6HI1diubJjiEyd0/ZEHLyxpiTjo+z4USLKykiB3r2NdGbkDcwLFXEWZSasBikJaCXomQ5DVkSv4X05NGUgkuB+dF+KM/RDYqLoM1ltWWuu0gRlnlyUQZ76XW5DVyZYZGkc4PKnskkm1G480GbO++3ufMB2xAHCc2n0zGHsU0UOXRDl3bHZ6HtM9/ymWv5zLUqzC5UmZ2vMT3XYHa+n0vOsvnb1x5l+eAER1sdpsKQDZu2MDGlX3fFF3+4x7EfHb72o73gpC1raLcX8P3qgR/8KLhux/bmhQN9h3nf5f18+frlVCseQ76i5iq8ZK5m5jqQGJa7ofnsQyWYS8bZoYEQVg/HnHNql8veMM/WDRGrhmOuu93hoUMyV6/10hciBzcipwIXG9Yvtl7LNN89l97i5nNpVqS8wSx/n74ktWVYvDE9JrDTO4UXpWwJKXNSepzE37ugPCxVO4talZxdyTaa2XPFgo9EKXM8dOkkSaO4yu6T5uvk71nasPegxd99usodd7k8uN/isjcIzj2ly+qBOPGzNCAPI5tO16XddekETjIdLa+M25bCdSK6gUMUOVz6tBlmFiZ4x6c0F542yrOefvx1Z552wYFWu41XrT4qwK1HfQXwzne+i4uf86uToRqcG2rEr7jh9p185jujoGuMN2MGKpqGD3Ufap6g4kIl6d90kpEwSkFXCToxaBVCJ2DDyg5vf/0sb37VAmtGY0QIzbrGr2p+dI9Lq50kxylTkmlPFufebm/uneXfud93Of/WpTy3rPkQS+bjWZdNqkXp0aBkOXn2Nc+5e79fSrIr5LGaLZZ4LcV9QPEEFYtSr9LFsJCb51/1oueyOJJuwFOhXNFPEoXlaI7MWLzn43W+c4tPKAUT0zbf/7HLwYMWW9aHjPRrwtAhiFy6gW/859s+8y2HhbZDq2PTDiy6gamxhJFtJNqRjWVZLB8O2H1AcPYpF/Pss9f88cEDu64fHVv3WKD76BE8XRefPQ7O4C16fu+VV9101osXWkc4bjCmr6qpuALXNnYSlmU+SDC0Tjc0ByOINLILWivoRKwf7/CXr5/m5c9q4UtQocnKa9WYi5/W5VNXRhydtHN5ZunTKkfvxRYQPc0MKWiK4Ck8diy6sBiBl6pYLg7jPTmKKL1yyZXRhCKNzsd4TYkOzDOE9HmVPJAOesoZlWLlU2eRPY/oIlMipj4qeS+nQFiJLKsQ1QtKLLBhz2GL793ss7BggS/RFhyesvnM1TbdUHDZ62dZMxLSCczv7gY2M/MuM/MOnUASq+QwSlO9dG2N5zhUPIcgtBloKl71/LVMqo1XBtbWW1p6+rHC9rEDXLhjRJ379lj1M96EesA6edXCpb7VpV61cB1jCORY+fCllNsNI6MIPDCjaYegOl3WLZ/jstdN8bKLutiRTTc2VJUUGhHEHNcfcdGZXX683StfvlNgJ2Gmd0OZgrpo4NOr2Ftk5rMoLxclcPeWLrO74tig/Yk2mT01kt5fmM7LgdRaOc3F88JQ6SToKe2nPinG80QjlNloClHM2Xs3mSLTmOtEOJWlJ4m+CiX43q0eu6dSH5rkMucLOrHNFd+1QQoue+0c44MdOoGPlJKJGZcj0xZBmBYOk44fy1z1XUfjORZzLYtOWGXt8lVf2bzitDcdmty796RNG554gAPY/hau+d7Ne5/79HPullHr0sMH9lKruUiRzrcXxsDSIjGd1Ags1oxpVq2e5CNfF6wZnOevf2eSl14UQVihE8tMg2LJGK2hrxbzoos6XH1ThW17bGPv23utJW9myJypCgDubWboZVJK0TsFrGRxpO/daPZUKIs5+RO6Uo5b59FdpOhPmZUSy1KobGoyezfR+70yqhLTZV/kxsn6NnUhF08BL5PfnV9uQDqa+3bbfOVan9kFywBcFuw6LOjEmi9c4wIW7/jdWTxrim/8sMqRiTpaqSzNSifT2ZZI3NNkgiuFV1/DxvHz747Ce/Yet+nsx3UYHxfAAdauWc7Q8Ph7Fmb2rJs8NPvKo5MLzLdsXMecdabT3gjlPUdR8WOWDbYYGj7MQidi/XjMS54O3VaTKDZSzHSGvLYibEArxda1Iaetj9i2A/AopyhJlM1SEormmUV/8mPwzXCMCC5KoO6F8SIRSs/DT0xIL0Rp8sCe0YYiv1+sGqYWC4JiFF9c5UwFWXnvJony0LjUptXOvAWucEtZlHRZcPsOh227nGSjkjr4Gu5aCIl0IIgVl3/XZXRQc9x4h49/zWKgHrG8T1HxBI5jrv4mOIokI5DMtmK8Sp1N9qrLVxx3ynuOHNr/eOH6EwB87Rpu/eG3Zk7ZcvxrPnn/rSuCeXVBs6oZaCh8L8axFY6lcZ2Yqh/R1+gw0Jjii9fDt3/Q4Gm/vUCnVWF6zk/s3mIcK8JxZHIJVtjKQmBSltIHn8ksC9QgebFmyaolxVSl7BpbdqsSJfAjlojiPbdeWD5hQbyI6qXoHK2zLynoRSk1yR9PJRAoMzYm7/Qhof9UohE3oyGLEtpiupKaCmXvL3krsTZl/tyew0NYLo4lqVgaX4IQkjnqPDxZ4XUvWeDuPdP81/eqzHcthmqaqqtwbYFtGz2d5wqaNZvRQVi5Mry+2lz3mv/+6jdbL770kicf4ABnnP0cvnvDHa2zz3p5cOcPv8JxI4cZGQySy6rAthUVN6S/2cb3ZvnsdyXv/OxyhPa56qaAZU2bvprCc830CN8NzPESCilstIrMXBhdOJKl6C2SqL00LZhNRi7k3YvYhmMBuLi5FEvjK/1aPBmypx8PytMNZuFbXcrF051n/rpSFM/ybJOmCC2Sgg2Ze2tmni8Kzq2JIxUqidrJMRXFPFwVo3iRKjSvTz8aUaJuk2G6lqTP1jQcTdVRVBxojGkuOb2Kr0d5+yvnEOphPnfNMqZaHkM1Tc01g6ZSWnOgHrJ6xQgvvfQFgZRxa3TF4wf3TwxwgHNOPR6t1Q/HGyecu3vnzooW04wNWkRxBceOqFXaTMy3+MINDn//+XEqosKGUc2Q32TXwzYrhrv0NUwxIe2ot+LERHMpKqHMXWXusBkVKJZIS2RPNO8B+lJgL/2p/CNcAriFB3oi7ePr50l+xSMUepbky0tAz1MSkUZxkW4uzYtN6cFox1XiCCukSCK8SOwklOn8KfVuSmSBBzeFHpkxK2al/KmFkJKaBTVbU3MVDV/TXxWMDTlMTy9n+942a5d7/MkrJnGt/Vz9wyF2Tzfp9yx8W9NVEcsHO8RuhYHlp7T9xsYfyqz7+PGvnxjg1VoNrWf/bHz9Bfoj/73zD+cOb/P/x6+0Wb0soFmb47YHu/zNf/Rx8/ZR+j2PVf2KwYbJr1ptwXzbxnViXNsQ+45tGcKfvGKmUyAVS/ZCJANbe6I3S5fkS+BmqQpngTnpzb8XAT+BfLrbK9EtT85Kpck6zUPIUxFRkCKm/oA6EayllRhZBLrQWW8wiZ4/S1WUwph25o0Rmf94wW9cyxTcOehESjclFh2e1HiWxreh6kDNF1Q8STsw7InvNlg+rHn7b0xxydP2845Pd/jR9iH6Ki5rR2JedRGcdvLKzpbTL3h/oO0/H20+ekHnWOsnPzUAIZrqs1/44WUbxle/95yTNgZBt0HVb3P7ri5//u+DfO+OMWqWz1hd0Vc1gnXbNlEjjIz1bRSLstdKEhWM9Vt6/c9FVkKIEt9djN4Z4HsiuliimFNs8l2ymUGUI/HPAMuPupZsfiCP/ulmchFnXmh46J2aHCvjBKtVOoYwpQdlMrWtpwmiUMJHC+Jk6ke6MmMlmYyEyarbgjCGhbbF7LzH5GyNTrePp59o867fPsKZxx+mHXTxhEsn3BDUKuve2z5802WjA1X1OA9Taf3EETxd55wQB7FY9e6qOBrMTs+/4x+/JOTXblnJPbuaDDQsRmrmMlX1EwN9S2R+F1nhoPBhkdhJTM8JJuasnkqmaSYuF3ZSExmybvml5LEldV4pRRHHzMlL4NLlaP6IQHycrOFjfa0+5uMmF08VEEqLPFAnXKMkSUcKpvOphiSlCdNCT5xIaIUuWDIXJLZKWWhpvNWGGjH9zZjJti69wVLAEBBrTRRCpytZ6NhUWi6eUwEUp6xr8Xevn+fLN4fceNcKNRUMvmOmPfS+u26ZDn5afP5UERzg1LNfzPDAjvaatSNX7m+frT/+lRGmjvQx1rCoO5qqo6l6goor8FyJ6wgcKx09WDSDzI3xbUtx23aHG+71kja1vN/S+JykZfkcvFbBwy4Hc6+vXTma95bNS7n4Me4/qpCqGFIfbT3OzalIqb/0fZT0JhREVOlmMdlQqvR+OXovfZOl+7FORoMnET2P7BZh1+a8LRGnbgyM/atWxnoNUbq6qCTKB5GmEwjaHUmrY9PpOnQChyPTfQw3RnjNc+BNr96s129cdeW+qen263775T8tPH/6CA4QyI1UBusPVOrjb3z9y/o/tHDkFjkVzHPtHS6WtBJvceM17joi8xNPXWgzl1kZ49gxrY7i7l0VZuZd04yXFA6kMDWfFNzZ5bCUoiwRuVPAHwvc9BR96ElPesBYArMof6+XBKrmscTpx0415mNO8j2nSbxN9NbZ/iUbzpB6CqYJemKmaTp8TAQ3pj+p81XKpEhizIbURHaJVJI4Ns0L/dWQE9d2ueqmkE4cEduKUEkiZdo1I0XiCKsIQkWnK2l3Je2ukcoGUcy3b3NpzY/wkuc9U114xro3PjS37IGmM/NEQPOnj+AAG9adw333OcElF5//sRPW1v7o4rOHGB7oYFuaqitMBPckniPxXI3r6KQopHBKlhMRjhdw7wHJV6+vgU4skKWNkBJXlOfJZ/x3anWcNTQU6cJecIslI3c26/MYKHs04GUCwJ92pc0J6bfHOLEKZMqi1rZsrIlOpyGTTD/Oh1QpZfLqOKYUweMsNzeR3ER9mf+MMsCMlUUUWyhh8cLzO5ww3oEgQKmYdmxs1sJIEMaCMNIEoSYIFJ1A0eoKFtoWrbaZqrz/SMDeiQF2Haj/0fLVT//YqgE32LzpnCcCmk9MBAfYunUjndbB+GUvf+6O2++ozt139WSjbkWMDZoZP75n4XuCiquoeDGeG+G5Ea4b4bohrhvg+R32HVG8/zNNbt1RAy/1+bZwkuidOlQVue6sKyeN5AVFYVkxKJYsx5fb1AoVTR4J2KK86RM81kD9mJfoTYgWbQzKj2e5OCCzN5Tk2CL3AE8HROnsH873cSZigxCxMbXPXGhNLh4LiYgtpNDEsU2n43Lq+i5v/s0Z/vLDLrsmHTrSZj4S+LHGC6ETmKkgnUDhBYp2RzJrSR4WHq5b5ZJzNbp25tzmjRfueGDXkXjjusemFHws6wkDOIBX8fnGzQtf2XTcBb/3kkuc99972/cGVThPEMlkUq2m4msqnqLiR1S8EN81hZ5apcOBqZB3fbzGZ7/ZB64Htg+WiyVFwbg+nUqcz9gpgjzLu3tSkkziKhYDvLipLHl8F6nuoi4bkr1DvkEWS4H7EQVUKaAe4fEic1NsM+tJT4rvz4inMP4muiCdTd+tKuTw6XhhUeg1VeYYxIk7WGx6d8zmMzlWsbAQcfJPh+Z9vfLZHbpqgnd+zGL3lMOc9KkEElcqXMsA3AsUflcReJpuKNj1sKYdLuf5zz9/cvXxZ7xZ8NBX9h0YfyIh+cQCXIh+AOZm5z798l+50D5wYvSe/77qOyPbHgzpb9pUPU2tElOvhtT9kKrfpeq3adYXODjV4bKP1vjsdwZQbhVsH2G52DKfRuzK1Jm0TA0WRVaLij6JlURJT11IR0pfkzvHDpQ5rLLCSsqJF0J4seL42A5c+ZwS5acWvafya0SuMyw1R6Q8dw5gKU30lsWzUZq8u/T3SHLvJOrHWpjqkMivKtlP6Hxyw289p4tjH+GyDwv2TPYzKXwjmJIim+XkOYpGrKj6mgib5vLzj6xYffGfLsyFn240Nz2RcASeYICnq9FsoPXDn1i/5TTZ98OH/9bZffdIvaJp1mP6aiGNapd6rUNfvUV/3xz7jnZ55yfqXH7NILFbBdtDWjauFPipeaZVnM5QSFHSJgbRO4IkGakt8xOhNz2BvHizCHM9D6cAymCcRuaSPjv1+M5/OJe5LvE3er8WuLUixSYKz4meHL1Yyk/fT/aMTjeR5ud0nAxblaabLNeZS4ydqiJO/lhx5maxSykdVZJqyg1Dk7ArSvLKZ3TQ0WH+5uOKBw8Pousexisymd9kxVR9SRRJzjt7y5HxDee8bceBhU9sPm7oyYDiY+vo+UnWX//1P7B+48W3Sat6ZOVI+PT+ymRlqD9kpL/NUP8CI4Nz2NYcd+6JePd/9HHFtSMETgPb8fFsm5olqFoaL01LRGGOvMidYm0rz7fNjPkc3FbirmxnwC+4vMrc6bW3F7MI7lLkzABYtI/IO3bS3L3UyYPInGaL7rK9coHUlCjv7tEFl9lcV5P+XSkK76kEd/MmiwrA8rycsqZbl36PyAvHS6VyhaOSluxVRiPaxs8wtjlpfcj4cJuHDsUcnraYaTsE2gJlAlE3iFg2tnLypM3HvYXu/k9s3XLykwXDJ78wd+uNl0utol8P2/v+tSLvbtTr81S8BXYeiPjCtS7X39HHPfv6iS2PiiPxLWN5bGf9kuW+ycwsvQRwI9TJvxcFoOf2DyXw9tJ7xa/J/eLryh920U6iOIjKpEMyafooPZ4+JkX5SmMV/i9LFywsilYXqY6m1xq5nNnrRJG16H8pfuCiuE/Jh/naMh8clg8SS62wFXbR710mp0rh80nHrNtWTMXt4rodtu+PuO4Oh899d4BtD9eoOB4NKXjGWavntm5Y8QbXdT73e6971U9VqXy09aSkKMXleSilBy7va7Sjo5Njn/r7T+30dj/cz8R0zI7DTSLq1H2LugsVy0w/S1mN3lK0EOSab1Eo2pT6L8vgLqYpmQ1yERTJDlEVyt1LAh3yN5UyEYnyrdRRk6QEOi19PtIqnjyFDWXhQlFo0MgnHqSeJEttMtPqZXFiWanCKJKpgImysPf/M8dIYmyvRcFQ32hf0lK++Zv5fiN9r5YV0w1cfM9jw3iHjSsWeO7ZD3N4qso9u1xu2X1WZ9no+O+M9Df/a3Ku86SCG34GAD/xjFcyMX04btb9Gzs7Ds75/hcZrm/z9h2JkbLOeMOibms8W5kKp8iBreKkUKBzeWaRWTBab10q5GSpSgHsZQalkB9rnYFBUgB5CTS9OXXiGpABO7/MF1V9xd+z5FqKa8/Sg54xgZSjdm8alaX9PRoUpVI5RO/fEAhl9ixYaVqjkr8jkSJOBkEVKqPZ/5O3t8VKEMcycakyv9+SZn5qp+vS7ngM9Uk8u8X+g0OcsXlzZ836Zb/5ls+NXvky/2j8rje9+smG35MPcAC3MoJtccBvNk767Rcuv3Bicu7fP/D5vVUrhqFabBokElGOEKa8HCWWE0QCFRthfa88PEtbMjZF5CC30khuUoM02hfCcNbRkg4+EvlTmflkot9L2DSRvT8z8i7XL6cRM92N5ibEx1690bq42Szecgu68iSHVH8vSKJ28vM6EUGpREilCtE8S1GEQFv5yUC6f4ghFhKpYjMu3BL5exU5Z6OUIIosgtAiiKxEMGeOsW0rXDvGtj3i2GHbPocdR0+m62x83Wt/S3/xjPXTesWmJx/c8DMCeMMTAPGB7Z88uOE5P/zCFz9/on3+id6H+qwjfbMLMUKYaqdjmw8hjg24ZWD8xIOYrDKXTs+l4L4qUjpQpnm46Q6xpOnxSwGezroEkUXvGJ1wwzm6e03n0w8YbYCRKZnQZf8RCpHuMcpR8l9OtrErWkdk0t9so5nPiSS9koikxN6jS4ljcrVgAeDpHsLSJqikkTnb+GZpiMiqpvn0jVySGytBJ7BodYzdQ5RMGnRtTcU32pS9Bypod/3RV7zkRVMrV23dPTHT0Ss2VR7Hwfnp1s8E4OlavvF/8OnP/Bsnb1j12TXLlzlPO23uff/9rXuHDhycY6jPxXMFcazMFNvQCHdmFqAVCAIlEKQ+Kzqz0k0ZiIwaTCK3bQlsS2aRPE1T0hiklSBWaXw2rqqQR2QT+coAF4CWOlHkiaROkoAcsjx8UZWT8snSS2pnACJnMMoFK51tNotmRfl7N1rwlFfMBE5KEEbma9rhA2bvYkmwVSrA0gUGyByr1A0rBbYljaxCWiZttmJNGNp0unZm/9ANBFEMnqsZbMRIr0ngnzSh8f9o66ZnfyrUDwtLej9LyP1sAQ7w6t94ffKBH/kU2HYgRt99w/U3jPRX29QqsPeARTU7uAFHWxEz85pWYOFYgpo2zQ2ONBE3BUXKStgWxsLCNtJcO+nQzqJ4Er1jpRGx0Y+q5IM074t8dLQqB+LS9AfRE71VoQTeU/XMvtc9KYnIMHmMTiNd+N/yadJ5cSkv6KTANs0RBvRhnOruzf+T8vgpwGNLZCdxCnDLMoItrfLcXcrcN9B1Qhw7ohtIJmYlk7N1Dk4mYyW1Yu+hGNdSbN3Qz9NOO/9IZfj8t2oVfgoO4GSjPn5262cO8HQJMcLcfOvjz7roYjE+7P/txENXjdy6bYL5Th8bVzmMDXWZno8435llz8QCH/tag4mFBnHFMdXNxPMjjzpp1BbYtvFpcW2JndwsK+WnTb5s0iDzqUdxDm6lNXGyuVUqtygWJFcJLYgsE/1Igap1ZquwVHrzqMeidCd1jkrpQwNsOxuPnoCddDaP2eyBTNrTktnxCqJIEIQm3Yvi/A3J5ErnWDnjIpAIqbBjQRxrlJ0+TmKpFuN5AX21NrOtDp/4Vp3dByS2jpibi1nW73D8aoV0pnh4apQXbLzoyAknnv82rfXHXa/+VMHsqQM4QKNeJQxbHzvl1DOi3Y3OP37+2hsGRuptVozOse/IPLasc/4Wj5deOMlApcX7roiZ6g7QsSxqCfhICit5B4mxIHAdY0jkOgW/FglCGiBGEchAopRGRgatSpv8P4p1cmmnlOdb2qQoVkGFokTeFmb8AQvJQ5KuPNLqLSrlUTyP2DlHnciLZT7IS2sSGaupSIaxicamawragabbVUTJcCRjsGN4+dgupiKGo48sgZ0oC9P3J6XCtmN8t8tsu8U//FeDj181xnEDFS44SdEcm2XP/iqjgzUuvWiMlvvMqTPOPOMtrU70yb7mUwdueIoBDuA4VVrt7qebw+dObt0ws/7cEzrv3bb9G873b69ywuoaswuSOK7zu5dOsvvQJJ+4qkrXrZLO8Moiq8xNYwywTQeR55hJA65tikHSMj8TxWC3BWFkkvlUlB/Gmm4S9WKVq0+kSLq+LUDrjFFRJafXR2dOjrVKVczklpr4p+C2Mx19PjzXbMolUphJaIGUSSHGyFRb7ZhWJ84Anh+nvIkBkk1n4RimLWok/7tjxfh+l8993eWjX16OZVcZqMJYv8PG4yR7j7Spj54Xrhy3/mTraWfukHbla0L8bPPtpdZTDnCAasVT00ce+Mof/f6L3J0P3NZ68ED8wTVjD4gztszL/r4pJudgWDZ5zSXTfOe2BfZPVYmz6J1XAm1L4lg5uH0PfBd816jZXEfh2AYwAK22pN3VHA4UkTIbyzAym9p2KDLPPBNFjTlOFtHjhGqTKcOTpymLXHkecxtD8jVLu5JKozTAdixlNPS2GbSbTo6OlaTTdYhjkVR4Nb6r6Qaaw5Mh7a4CzGx4x8Zc4VyNFxsDe4FxkbKS9C6KNXGc2iqbpMdxYnYdUHzk6hGkVWGgqTjaDrnlPpdlw6Pqta/Yqv3mht93B0/49x/ffTA467SNTzWsgJ8TgAP0j2zghlvuDaqV8U8ri+/9+guCX/OsbX9zxbc1NXcZl5w7z3Hjswz1Rzw0kSkuSuyJbQucLHpDxYOqp/A9RcVT+K7C9yJ8N6ZeDTg4FfGd22rMzVl4jtl8dSPBoXnBdNdoR3wLfEvj26YfMWW4pQAr3YjKTG21xHpkcPf+SL65zF1c0xK6OUFjXCdKnAjMqEYpYKHj0Q2apqPHgqFmhGUvcPMDcGTCoelj/n8HfEfgx8kegzQNsbAtiGyI4rQZObVJNgrEiWnJ/odrrB4UXHImON4CDx4aYCJY95evOuP4L1jVZfuC7kPBpuO38vOyfm4ADnD+WVsB2lN7Prm9f/X4uz/1WcetNmb/rOkctmCWQ9OC2Y5v1GnEpaKObaW5t8RzRQbumq+o+jHVSkTVj6hVuvQ32kzOLvCRqyvcvr3BlmXGIbe/ZqNkRNuapk9HPHigxvRChaYv6VMStEq6+g1NGSuNpUWJTiyuos1ESv/lxaHkRcfIZ4pXprQ66NimUcR3A3wvoOZ36EZddh2EOHY5Ml1les6i6is8L+a89fNUGnP8zWdG2TVVZaSqaHgQeppIpSdsnubZloXjCLxYlEGeKAdrvqS/v0scV4jCChc97fT4mfW+dz77d7e8u6P3xn/9Rxc81RBatJ40NeFPs97z/isZWvky/fr/+erv/dfl/+mN9Ouzo+gh++8vd9m2q0pXSfpcQcPXVFzwXYHvCXzPpupLar6gVlHUK4p6JaJei2hWQ5r1NsN988y1Z/nrTzp898fDLGvaDFShWbMYHnA572TJ616wwO88/ygVa5Yf3SOZDVyQFnYC7qJgykruZwKr5L6UsqReXGpWfZHDzyW+JJtJElBrHEfhOim4Qyp+QF99AW3N84Ev+bztw8u55tYRFuZcKp6D7wiqlZiKpzhz4zzHjU/z/bt8jsx6JT0N5OA2gjCZbNLJWgo9R1H1zSQ9KSVrRi0emhrj4vPP7T7veS/6uxNOOP8vHrjuefplL37lUw2bJdfPJcABrv7KF2i35mg01DVDI2trC9HK+NbbJ/f9X8+bWnHnA7MyDn1G66Zb33UEviepVSxqvqRW1TSqmno1pl6NaFQDmvUOg815mvVp3v1Zjyu+N8Zgn8+yuqKvJuir2ww0bPobgqovqFcE52xt49gL3LnDYS70sC2JK0lcAVIpbirLzdmJ7H4B3EUD/Gwj2esCIHNVoWWDkzQJuI7Cc2J8N8L3QurVNmG8wL98scKHvrwCW9ZZ2Qd9VUHVt/A9ScXTeLa50px6/AKeM8/VN/u0lZt5y6RqxIyStAyl6jqmWGMnJ2x/vc3hmWn+/Zr10Wkb1tzwohe8ZPdZp5/xhXaXt//VX/45K1af/lTD5Zjr5ypF6V2VaiO9+zbd+hj/9r41jSP7hz98cOLAK7553Zzsq4eEsdkMmg2U2VjWfEWtElGvmuaKZq1DX2OevsYsX79V8I3bhqnWKgz5iqoLXuJmaie8cKtjMzNfoerX+YOXTTK5MME/f6lK2/Gp2aYCqgpc92IFYKGQk4C72KWfF4eSydaawu/TWYDNfp9UmRzVcUIa1TYf+rLFP10xSiyrLG9oqq4BahRBGAq6gaTVtZlrVajM9vGMk2d4zpmH+eoPR4mpAcbnhGwfY64SYWQM6aXUIGIOTQgG++vsn12hZO3kKz7/4+Hf9e7aP/ehPz/zqYbHY1o/1wAvLlF9LQ/s2DFXr1X+4OnnPfRgzb/9xEZl4sVXX7uNhU6dZYMS3zXgrldjmtWQRi2gUe0y1L/AbGuez37X4YNfW8aRqSYrGpqap/AdQ4vZlmlMUEoQhBadwGGu5TNe8zhrUwffb9OJPILkhCqW4SEFc0ofllMSkZUszSrm4RmwlTCbvqSsnmltsmqm2Wh6TkQ7DPnB9iYzQY2VA1B1NY5t6gFamxHYQSjodE3n+oxTYaQ/4l2vnWfdigN84bpRDs31IRLviKwU78RUAotYWfhOyOzCBC11AvNq5Mrzzj7h7osvHv8nFXXmRsY2P9VweMzrFwbgABvWrwc42l3Y9xcXX7BpzV333MZ8NPziO297EEt28T1JvaIZaAQsG2zhewG+16FRm+WKGy3e85lxFsI6Y33Q8BQV13DkaZOEwLAiUWxA3g1tOl2Pk9YGnHP8PNfe2yT0rWRTWZYKpCmIJYsNDfnszGyTmaoVIRGSkHSxG1YmVuUx3pCW102zQdUPuOV+wd07a7iOQ9UGL7G5kzLXg4eRoBtK2l0br+MxPadYNgBvfdUcC+0jfPTrDkedKmEsWegaJ1/X1nh2iO/GCKvO5hM3E7ubrhwePPvNR+Zn9py8euVTDYHHvX6hAJ4ur7aKG++a3mNZZ75l7bqBT59+wglvmpnY+fQjBx6g4k0wMjDDTKeNZUuWN7p8/27Jh786RizqrOiHuqPwHSPRNdFbGttx0sqgIIokUWgRxg7DTcGyZghRjNJWbmucFWdEQa6bglxiWzLJv8vvP5PiFrTaIoZYmvQnzrTcZGJzYy6qsJ2Iw7OSo9MenhS4lsra9lKtTHqShpGkG1p0ujaW5aGmJM2axWsumWfn/mmuvcunMaLxmgEHZh0cK2TZcD/rNmzmxNM3fX901Pqn/uE1d8LcHiF+8cANv6AABzjvpH6AB7XWDwJ3332HWr5+/cZ/k8GPj7/xtmutz3+nwa9f7GJbMVfe4HN0osHafo1jGWA6iSjLtkVW3dSJyCqOBZESRLFlNM+xjVIKiAuUYE+jhZWP4Mj0L8kGNHm5ybWz/F0b1ykrr4Cmm8y4QNGpUhqkTcpiCYRt40bgpH2q0qRYefk+EVpFkjCWBIFNENostH1G+yS/cm7AA/tDzttg84pnznLlzRVWr7gwvuTCLQ+228HrN2495wCw/VhN2b8o6xcW4OlKPoDtExMz2yF6nupGK06xzrzivr03NR1rf+3Ge2a5Y3uFtQOSjSsFM52YB/dD1TWpiWsbWwNNop9OOGDTSCvoBhYjg/D8CwO+vz0m7IpsOkTGVVs5e+LYMrmlMt08qoaJrj2KlIniGO21cdGVmVTVjvOTLHOdQuDamkNHBV+7zuPQlMNY0+hr8k6mZAAYaZpl3KXQ4LkBD+zzmZmvsmm1xSnrJzh78wKDjVWsGj9+4R3/6/zZbXt4+ZZNa/c7jrXnFx3Y6fqFB3i6hob6mGvpPdXBc/fNxfMn/M9XeE8b6gs+8s3r74qWD+waXFZbaJy5JebQ3DQ3b/cYrLp4jsD3LFzHQsVm5GEYJV0wCbCiWGJZkuGBAN9VRN2y9ty2CoUm2/DIriOy3D7to4wTcHeVJoxUZjkspSC2UsGTzCS/kS1MJE+iuU4Ug51AMDlpo2PDVxdpRtsWeK55T93ApE5V3wixmvVpbt5WY3KyitZNnnbawNybfmvdpLZPtxsD1uvWrD7u5jXHNWcgVkL80sDilwfgAI2qAFCz0wenRvvHvxF2Jje++18+2v3ixz75x7sevO3Vg97d4f7b5jf3NSq+JUM812aoz6K/EbPr4Yj5tk294pg2sERjHSvL2AUnHS6W1MZ8KFUvpsURu6CBccFzwXGMLkQAQZRUB2NNuxsThiZVsqQZwpRZrgnTpBFEGjfzUDe3VPyFlNhS4shc5iuEqeIO92vCOOTBfdBfs/Bd6ARgOzVWjHudibnBbUPjG5yVm8/89Le/fOnfbz7nSq/e7OvseWhBHbem76n+CJ/w9UsF8HQ1+8fAEBWtnbv2Yln2e23beu/tB7da7sDZH/ytl7Q3Lhx96AKiCWt8OGLV8llu3xUwNdVg5aiN5yhqlZA4GVoax1ZG+dmSZHOa5PGWES85TlJwcqHiaVNocRVuIu4yoi3BrocVk9NxojMx4ic3konoyWxSU0VfGEuCSBFEkjAy9F0cG/NLVwgqthFjLXQFjdD8/rGBDg9Nz3L/gTqbxiqML2tQbR4X14YHrv9/Xm1t37G3+8Z7d1ixZVV45qVf16PLVrWe6s/ryVy/lAAvrnVrV0POWEcTE9O/63ruwOTk5Lt+cNO1rgz3xX2D7ukj4+KM+YV5tAqo+Qts29cF1WTzGkGnazO9YBNrScXW+I7GS/lzO5foeo7Ad3UmE6j4MZ6d6GAqHTqxYqbr8sBhl6YnqHmGyam4KjOwl0mrnesIokgThpIgsOgEpj3MEhaNmjmJ+nzBxlUxoejw0MMeY4MCv+KyurGS1auqt/p29OPhsXXWiWc+IxgYHHx70A2mtp72yxelH2n90gO8dw0N9QNMAf83wPb7r8a1efr5Ac89eX335WP9waaKf5SPfvM+No7VWDmywP7DEd++0WZuymLtCNQrgnpFJu1iAsex8F2jYPRcqFUUg31d+updgtDC99rcvK3FnQ80uPCUkHpfl9vurqO1oBsJ+qsJs5PIYC1pcuk0LZpr2UipmG+7rBzVXHDqDLdsq+O7TU7d2GDrxpjb95zKiqFBVq7z77c864pLqtVv2lJ//+XPf9ZTfcif0vV/HMB718ZNzwf4/uTE1PeB66SM1j908LAK1YTasnFs7bpNjbfu3NdH164wNDgPaoKaZ7FiBGZaXRZaPmNDDn11ZRqhNfhuzMjALPfsDZmeHuH4lQFX3+zSbfXx0vM7rFx2hD17q2xYbjPRWuDe3VWqvqCpodVRdMMA23IYG1JMzrc4dMRhzZigWYmR48NcetEgB2b6GR3cwmhz9t2rRx/cteW0C6TjjslKxdkB+hunnDrwVB/an4v1fzzA0zU4NADwjfT71vwRLMvr77b23fTAgZCB5ZXw9ac1/nCkEj9npCkYG4rYt+dqvvRtjzXjNiuXBfxou027BauXtalWDvOf14ywrh8GmwJ0hCUC5lsxISFVJ2TNMofzls9z7V0xo7U6Z22xQMKP77ewHZtaJeLH+xpceNaFrB7zGBsM8Pra3xquTPzjhWdWnP6hk9m8bvn3W53u9Mrx0af6EP5crv8f4MdY1foIwDTwZYB7dx4E2OaKaFnFEapRbWPH1+A4Dn0NyUAfHJ0LwovOPu+y41YceOHgcCPcvGkl6wYqrFvX4Q3DM9zz4BDNEcU9e9Zy0gk1Nm70WLV8nAvPVqxfNuSccnL/V3ft+u5lnajPCWMLy9IshFU2b9nKskGfqq+k7+lDMez6leetfqoP0S/E+uVg839O1l23/wCNWNZ0H+gb7H9If+SqcZbXfE7fEuDY09x45yCrlsHN93WxcTl1g8PwwAwf/3rImtERce7JK2eU0ocuuODcp/pf+aVZ/x/H0w+uYAcH1wAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxOTozMjoyMSswMDowMCA/dPIAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTk6MzI6MjErMDA6MDBRYsxOAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 67450981
    {'hecke_orbit_code': 117093590378743083, 'n': 1, 'trace_an': 4}
  • id: 67450982
    {'hecke_orbit_code': 117093590378743083, 'n': 2, 'trace_an': 0}
  • id: 67450983
    {'hecke_orbit_code': 117093590378743083, 'n': 3, 'trace_an': 0}
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  • id: 67451176
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  • id: 67451177
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  • id: 67451178
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  • id: 67451179
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  • id: 67451180
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  • id: 67451181
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  • id: 67451182
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  • id: 67451183
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  • id: 67451184
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  • id: 67451185
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  • id: 67451186
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  • id: 67451187
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  • id: 67451188
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  • id: 67451189
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  • id: 67451190
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  • id: 67451191
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  • id: 67451192
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  • id: 67451193
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  • id: 67451194
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  • id: 67451195
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  • id: 67451196
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  • id: 67451197
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  • id: 67451198
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  • id: 67451199
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  • id: 67451200
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  • id: 67451201
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  • id: 67451202
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  • id: 67451203
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  • id: 67451204
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  • id: 67451205
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  • id: 67451206
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  • id: 67451207
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  • id: 67451208
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  • id: 67451209
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  • id: 67451210
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  • id: 67451211
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  • id: 67451212
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  • id: 67451213
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  • id: 67451214
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  • id: 67451215
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  • id: 67451216
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  • id: 67451217
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  • id: 67451218
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  • id: 67451219
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  • id: 67451220
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  • id: 67451221
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  • id: 67451222
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  • id: 67451223
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  • id: 67451224
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  • id: 67451225
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  • id: 67451226
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  • id: 67451227
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  • id: 67451228
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  • id: 67451229
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  • id: 67451230
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  • id: 67451231
    {'hecke_orbit_code': 117093590378743083, 'n': 953, 'trace_an': 0}
  • id: 67451232
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  • id: 67451233
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  • id: 67451234
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  • id: 67451235
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  • id: 67451236
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  • id: 67451237
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  • id: 67451238
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