LMFDB - Embedded newform data

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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

mf_newforms • Show schema

{'Nk2': 14112, 'analytic_conductor': 75.29763169483971, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [98, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 208663020067201960, 'field_disc_factorization': [[2, 3], [5, 1], [13, 1], [347, 1], [7691, 1], [150359149, 1]], 'field_poly': [1820791991, -3237299, -101802, -1, 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': 0, 'hecke_cutters': [[3, [25589072475, 79288146, -380676, -266, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539596102402146, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 9408, 'hecke_ring_index_factorization': [[2, 6], [3, 1], [7, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], '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': '98.12.a.l', 'level': 98, '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, 7], 'level_radical': 14, 'minimal_twist': '14.12.c.a', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{5}q^{2}+(67-\\beta _{1})q^{3}+2^{10}q^{4}+(1877+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '11.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '98.12.a', 'trace_display': [128, 266, 7504, 0], 'trace_hash': 1096957645364373902, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.044', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.755', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.162', 'prec': 10}, {'__RealLiteral__': 0, 'data': '40.631', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.978', 'prec': 17}, {'__RealLiteral__': 0, 'data': '716.046', 'prec': 20}], 'trace_zratio': 0, 'traces': [4, 128, 266, 4096, 7504, 8512, 0, 131072, 123520, 240128, -213026, 272384, 1304856, 0, 1137750, 4194304, 8854244, 3952640, 7232806, 7684096, 0, -6816832, 10649134, 8716288, 119407256, 41755392, -9506098, 0, -110707288, 36408000, 486231270, 134217728, 489871116, 283335808, 0, 126484480, -463131040, 231449792, -493924396, 245891072, 808861704, 0, 1463448176, -218138624, 2871035832, 340772288, -894091254, 278921216, 0, 3821032192, -6950287158, 1336172544, 1448863512, -304195136, 12561674482, 0, 9007365260, -3542633216, 14386900738, 1165056000, 10854402216, 15559400640, 0, 4294967296, -5495584080, 15675875712, -19629545546, 9066745856, 46383539496, 0, 737402464, 4047503360, 21420158732, -14820193280, 63738659600, 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-59703967753406009040, -12249197066212292480, -1078130791248106900, 24840784713415200768, -22254211669040414616, 0, -9069791039218828718, -4529488703183650816, -32392470888784726860, 5730722240708775936, 5811054039391830908, 4739580504761303040, 0, -41313001489654097280, 60708410750543591942, -6224087313767464960, 31236069107366525304, -3664360584146555776, 38000021655355752678, 0, 8960211772618464200, 9602763313811467776, -21799797216811614658, 26835001790786764800], 'weight': 12, 'weight_parity': 1}

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

mf_hecke_cc • Show schema

{'an_normalized': [[1.0, 0.0], [0.7071067811865476, 0.0], [1.1133318911430024, 0.0], [0.5, 0.0], [-0.9520637126268747, 0.0], [0.7872445299384601, 0.0], [0.0, 0.0], [0.3535533905932738, 0.0], [0.2395078998360538, 0.0], [-0.6732107073201036, 0.0], [0.22805416388431288, 0.0], [0.5566659455715012, 0.0], [1.3571004669139795, 0.0], [0.0, 0.0], [-1.0599628936675063, 0.0], [0.25, 0.0], [-0.922795916914573, 0.0], [0.16935766012182205, 0.0], [0.9458702890544817, 0.0], [-0.47603185631343736, 0.0], [0.0, 0.0], [0.16125864576042587, 0.0], [1.2189613943301396, 0.0], [0.39362226496923003, 0.0], [-0.0935746870991317, 0.0], [0.9596149429063048, 0.0], [-0.8466801080748397, 0.0], [0.0, 0.0], [-0.1693162869657523, 0.0], [-0.749506949918409, 0.0], [1.5407340201585962, 0.0], [0.1767766952966369, 0.0], [0.2538999735603582, 0.0], [-0.6525152505015525, 0.0], [0.0, 0.0], [0.1197539499180269, 0.0], [1.5453252597443916, 0.0], [0.6688312955133038, 0.0], [1.5109032293003921, 0.0], [-0.3366053536600518, 0.0], [0.8605983781194753, 0.0], [0.0, 0.0], [0.8866521982077228, 0.0], [0.11402708194215644, 0.0], [-0.22802678032137902, 0.0], [0.861935867935451, 0.0], [0.5389015147075826, 0.0], [0.2783329727857506, 0.0], [0.0, 0.0], [-0.06616729579520537, 0.0], [-1.0273781233175423, 0.0], [0.6785502334569897, 0.0], [-1.387854625655279, 0.0], [-0.5986932459154781, 0.0], [-0.21712209394771664, 0.0], [0.0, 0.0], [1.0530675576890043, 0.0], [-0.11972469467881089, 0.0], [0.40144409929198416, 0.0], [-0.5299814468337531, 0.0], [1.4704577365049112, 0.0], [1.0894634736589541, 0.0], [0.0, 0.0], [0.125, 0.0], [-1.2920461089377884, 0.0], [0.17953439304761443, 0.0], [-0.8803452930719735, 0.0], [-0.4613979584572865, 0.0], [1.3571085943798853, 0.0], [0.0, 0.0], [-1.8655404034248522, 0.0], [0.08467883006091102, 0.0], [0.20710694841740457, 0.0], [1.0927099703041223, 0.0], [-0.10417968335119099, 0.0], [0.47293514452724084, 0.0], [0.0, 0.0], [1.0683699191549605, 0.0], [0.46419223283027977, 0.0], [-0.23801592815671868, 0.0], [-1.1821438657521766, 0.0], [0.6085349490464255, 0.0], [1.1239875351649908, 0.0], [0.0, 0.0], [0.8785605066546094, 0.0], [0.6269577819066395, 0.0], [-0.18850522196889224, 0.0], [0.08062932288021293, 0.0], [0.6240269359945386, 0.0], [-0.1612392826573823, 0.0], [0.0, 0.0], [0.6094806971650698, 0.0], [1.7153483204115303, 0.0], [0.3810609154414336, 0.0], [-0.900528779060665, 0.0], [0.19681113248461501, 0.0], [-1.2093229364263007, 0.0], [0.0, 0.0], [0.054620773840799004, 0.0], [-0.04678734354956585, 0.0]], 'angles': [None, -0.15604017277210824, -0.32896265380881556, None, -0.23181246717357476, -0.13130428670758473, -0.32632597793076756, -0.17159724326950623, -0.14568899040481212, -0.26348990854925136, -0.11003650698896726, -0.1094622319311475, -0.17920403075666289, -0.17689918691129045, -0.2065789268422752, -0.3720605539580394, -0.21783559528377483, -0.11853733691350075, -0.3225413810620807, -0.4413078905507411, -0.23348935439230917, -0.21272080455991282, -0.15501724305081283, -0.19949829612749329, -0.3533457925500285, -0.23710871004880968, -0.1586856837959277, -0.1676268534327278, -0.3663959234564532, -0.22141933358863952, -0.0666013062710814, -0.3059353152687714, -0.4059501154984033, -0.0960018330039977, -0.3225631102085388, -0.1752072806437338, -0.25878223840709225, -0.29673730925878866, -0.3548653174965067, -0.24983091182644332, -0.20916329815564033, -0.37772190101228303, -0.2780192869105396, -0.24786700033142864, -0.41602758591269834, -0.2725260036392487, -0.26263863084731964, -0.28482659974227936, -0.26595997966643875, -0.3733482889605491, -0.44671573790218677, -0.09090649596468431, -0.19911543697119402, -0.34555044157249043, -0.21662890627702713, -0.13658441747388475, -0.24631004747862792, -0.211946780907678, -0.33899817538703936, -0.22692319676498166, -0.21678269573695563, -0.14270464301627123, -0.27550638622234097, -0.3809668035558078, -0.2134623901051684, -0.18231723389088714, -0.14575935947074606, -0.25987348900387996, -0.2418375792994187, -0.4383094406589067, -0.29244058862173505, -0.2318759957627546, -0.156255898396529, -0.28929722544551806, -0.25822520458078746, -0.14992786815295506, -0.2684841908260361, -0.3242471093705912, -0.25762857674611644, -0.3467293636886213, -0.18279245633316457, -0.3333213166717973, -0.3991173526877779, -0.2470569516733712, -0.28846166520411204, -0.26407059539745914, -0.21906017575001643, -0.16793321142702966, -0.22580232946198606, -0.2521548884339553, -0.2191217023851059, -0.2483319082025507, -0.2542796926520168, -0.23330806075923283, -0.1498070323497113, -0.14373138236872782, -0.3174965519571443, -0.19912359269340926, -0.29817359265975435, -0.1798237803361312], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -200.79420923929032, 'hecke_orbit': 12, 'hecke_orbit_code': 49539596102402146, 'label': '98.12.a.l.1.3', 'level': 98, 'weight': 12}

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

mf_newspaces • Show schema

{'ALdims': [10, 9, 8, 11], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [4, 4, 4, 4], 'ALdims_old': [28, 26, 28, 26], 'Nk2': 14112, 'analytic_conductor': 75.29763169483971, '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': [98, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 146, 'dim': 38, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 201326690, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6], 'label': '98.12.a', 'level': 98, '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, 7], 'level_radical': 14, 'mf_dim': 162, 'mf_new_dim': 38, 'num_forms': 13, 'plus_dim': 21, 'prim_orbit_index': 1, 'relative_dim': 38, 'sturm_bound': 168, 'trace_bound': 9, 'trace_display': [0, 486, -3874, 0], 'traces': 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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

mf_twists_cc • Show schema

id: 47369073
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596102402146, 'source_is_minimal': False, 'source_label': '98.12.a.l.1.3', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 49539596102402146, 'target_is_minimal': False, 'target_label': '98.12.a.l.1.3', 'target_level': 98, 'twist_class_label': '14.12.c.a.9.3', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 12}
id: 47369074
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596102402146, 'source_is_minimal': False, 'source_label': '98.12.a.l.1.3', 'source_level': 98, 'target_conrey_index': 67, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539733541355618, 'target_is_minimal': False, 'target_label': '98.12.c.l.67.2', 'target_level': 98, 'twist_class_label': '14.12.c.a.9.3', 'twist_class_level': 14, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 12}
id: 47369075
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596102402146, 'source_is_minimal': False, 'source_label': '98.12.a.l.1.3', 'source_level': 98, 'target_conrey_index': 9, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 137640280078, 'target_is_minimal': True, 'target_label': '14.12.c.a.9.3', 'target_level': 14, 'twist_class_label': '14.12.c.a.9.3', 'twist_class_level': 14, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 12}
id: 47369076
{'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596102402146, 'source_is_minimal': False, 'source_label': '98.12.a.l.1.3', 'source_level': 98, 'target_conrey_index': 79, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539733541355618, 'target_is_minimal': False, 'target_label': '98.12.c.l.79.2', 'target_level': 98, 'twist_class_label': '14.12.c.a.9.3', 'twist_class_level': 14, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 12}
id: 47369077
{'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596102402146, 'source_is_minimal': False, 'source_label': '98.12.a.l.1.3', 'source_level': 98, 'target_conrey_index': 11, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 137640280078, 'target_is_minimal': True, 'target_label': '14.12.c.a.11.3', 'target_level': 14, 'twist_class_label': '14.12.c.a.9.3', 'twist_class_level': 14, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 12}
id: 47369078
{'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596102402146, 'source_is_minimal': False, 'source_label': '98.12.a.l.1.3', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532396847661154, 'target_is_minimal': False, 'target_label': '98.12.a.j.1.2', 'target_level': 98, 'twist_class_label': '14.12.c.a.9.3', 'twist_class_level': 14, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 12}
id: 47369079
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596102402146, 'source_is_minimal': False, 'source_label': '98.12.a.l.1.3', 'source_level': 98, 'target_conrey_index': 109, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014811027669118, 'target_is_minimal': False, 'target_label': '126.12.g.e.109.4', 'target_level': 126, 'twist_class_label': '14.12.c.a.9.3', 'twist_class_level': 14, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 12}
id: 47369080
{'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596102402146, 'source_is_minimal': False, 'source_label': '98.12.a.l.1.3', 'source_level': 98, 'target_conrey_index': 37, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014811027669118, 'target_is_minimal': False, 'target_label': '126.12.g.e.37.4', 'target_level': 126, 'twist_class_label': '14.12.c.a.9.3', 'twist_class_level': 14, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 12}
id: 47369081
{'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596102402146, 'source_is_minimal': False, 'source_label': '98.12.a.l.1.3', 'source_level': 98, 'target_conrey_index': 65, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 549957140592, 'target_is_minimal': False, 'target_label': '112.12.i.a.65.2', 'target_level': 112, 'twist_class_label': '14.12.c.a.9.3', 'twist_class_level': 14, 'twisting_char_label': '28.3', 'twisting_conrey_index': 3, 'weight': 12}
id: 47369082
{'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 49539596102402146, 'source_is_minimal': False, 'source_label': '98.12.a.l.1.3', 'source_level': 98, 'target_conrey_index': 81, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 549957140592, 'target_is_minimal': False, 'target_label': '112.12.i.a.81.2', 'target_level': 112, 'twist_class_label': '14.12.c.a.9.3', 'twist_class_level': 14, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 12}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 291650
{'charpoly_factorization': [[[-32, 1], 4]], 'hecke_orbit_code': 49539596102402146, 'p': 2}
id: 291651
{'charpoly_factorization': [[[25589072475, 79288146, -380676, -266, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 3}
id: 291652
{'charpoly_factorization': [[[4150386687484125, 390857355000, -129204870, -7504, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 5}
id: 291653
{'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 49539596102402146, 'p': 7}
id: 291654
{'charpoly_factorization': [[[-2901532934568406052925, 86228125389830358, -553116109548, 213026, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 11}
id: 291655
{'charpoly_factorization': [[[4501347212540596575435600, 2785353057713377760, -3826939276440, -1304856, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 13}
id: 291656
{'charpoly_factorization': [[[-220264544461644527712423471, 265604877944776420092, -20304199919082, -8854244, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 17}
id: 291657
{'charpoly_factorization': [[[12715391360714028331214196835, 2195906418995645276942, -367485190850460, -7232806, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 19}
id: 291658
{'charpoly_factorization': [[[508555415020029005558293543503, 6052501367989347965670, -1535130347476968, -10649134, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 23}
id: 291659
{'charpoly_factorization': [[[-373521990088461941886592791216, -56088050562848724823008, -210435713644440, 110707288, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 29}
id: 291660
{'charpoly_factorization': [[[-723249666216748371720279033957945, 6485295120679378387439678, 44683424079721152, -486231270, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 31}
id: 291661
{'charpoly_factorization': [[[-26064230809882253214367305193052483, -211730789544389281915641896, -340577043671243334, 463131040, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 37}
id: 291662
{'charpoly_factorization': [[[-177053051630341431296119720832293296, 1292343095051615128278296736, -1481059151822116440, -808861704, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 41}
id: 291663
{'charpoly_factorization': [[[310412031439486023580035507686713600, 1381830373497989082095944960, -1521286339691442720, -1463448176, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 43}
id: 291664
{'charpoly_factorization': [[[1576214717392448818213216259218132791, -1067135920529360098901052366, -2411541701402873904, 894091254, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 47}
id: 291665
{'charpoly_factorization': [[[-5583399101710313495128742643376805451, 21001756511414402328057768144, -18692231142667957758, -1448863512, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 53}
id: 291666
{'charpoly_factorization': [[[128627397980392290216795286565465368755, -162218469238602908886313968150, 73973736688447874052, -14386900738, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 59}
id: 291667
{'charpoly_factorization': [[[-2905220399155966029541863314012672214459, 1062245686448980304430148555664, -67434714019599170094, -10854402216, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 61}
id: 291668
{'charpoly_factorization': [[[-18484963344626929331403871195221497832229, -4577509468175371776265610276306, -178888852913145449412, 19629545546, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 67}
id: 291669
{'charpoly_factorization': [[[2930510209066294790474696966513663287296, 3377776333570521305881021231104, -709819987014967726272, -737402464, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 71}
id: 291670
{'charpoly_factorization': [[[-6376156292280819779841882548769892916215, 2044583782861477909266363783908, -18413346754282635234, -21420158732, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 73}
id: 291671
{'charpoly_factorization': [[[-27194552445925612453176521125519116266025, -2463345823345555208556168916610, 966440098220701847760, -60246238086, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 79}
id: 291672
{'charpoly_factorization': [[[-47841421674965904327155157805085737507584, 14912715291201228579234338827008, 854073897311816080032, -69946791152, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 83}
id: 291673
{'charpoly_factorization': [[[768883701591852903707633197689615029857161, -110883733351198774126010234607132, 5734588114652335308702, -126354105612, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 89}
id: 291674
{'charpoly_factorization': [[[-180095785663321832734293326038871262548686000, 2836349539025469411447768832204064, 6963941305472990177640, -269091442088, 1], 1]], 'hecke_orbit_code': 49539596102402146, 'p': 97}

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

mf_newform_portraits • Show schema

{'char_orbit_index': 1, 'hecke_orbit': 12, 'label': '98.12.a.l', 'level': 98, 'portrait': 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SgKHOlwcdbl1KRgfDrh/EKCV2jyuusavOV68GQ/x89VOD+jmJpLmZ6POTdnOTFvuX7PLL/6gXmi0MfTBZTo48JshfGLDk8fThHOMm+5KeYrD5fYu0Owe+sas379zs8PDvT9ZBhFtWuu//5XGhJ/rcc/aoCPTy4yWNYEkfmt02fO3PzCs1+QjYa9+VtPLGrtJ7z5pirb1was6i8wMT3GsXGf81MxUwsJFxcs01XBbMOwdmyZX/+hRa7bXmBiZojJ2RJT85rpBcv0fMLEXMpsPaF/MODVexvcsAtcWcBTHjOLfvbvLgqaISSJwXcNJT9loC/BAOemE2oN2LjKoVQIsVaAcGm0DBvGQhaWNdiMiiw3IEzAYlmsRqwddai3FEJZhAmp+A4bVgcsNwXnLmpSoxmqSMq+wHMgSQTNUDK9KJlasMwsJXheAE7Cjbsb3Hy5YKRSYGGpwoUZj4vzMDOfML2YcHERTi1Yrr1snt/44QXWDZVYqPYzu1jk4pzPxTnN+emEY+djxpciRoZabF+T8JZXCUg9jk2sThxfPvHed7zDrF237Yk0dn/JK9URYvSVhsp3ffyj5eCPP/Y5rtjzKn7qZ/7Vb379Ww/+n625b25bOzC1qeDEslYvMbMguO8Fl8gE3Lw7QkufMHZIrUYJgacNRdfga8HFBZ+nTyn2bl1k1/qAog+OlriOwnU1pYKk6EiaDYfj4z4P7Hc5NxtSS2KOXwhZNbTI9756ib3b6ly7q8r4fMJ8U1D0As5ctFRrJfZskSwHKUfHFeWi5vA52L7GEkQpQeqidcxAGY5d8FA6xZEJ2oFWKHnVriatpmTvtpRaK+XcxTKbxxSlYsRyaBntb7LUqPH5h+HFsykHzwZsXLPAFTtrDAxGvPnGOj9wm2XrWJk07ufsZB+nJxwuTBsmZmMmZlNOzwrOL8dctWOOX/9QnbH+fs7PDDIxW+binJfdxPMp0wtZla8lER984zzve40iCIY5PVHh0f11eex8a9OJ06c3b109f33/6JqC66x+8HNf+gxf/PyXXmnIfMfHP8oK/h/+22f41nMj6ie+Z/LfEc39yjcfuaDm6gv8i7eHlN1+Xjzex9GzKS+cSllOG/zfH5zmqs19nJkY5sKsx8yiZGEpZbEWs1RLma/BhWWBUwi46fJF3nNbxObREsuNCrOLBeYWXeargsWqYaFqWKobai1DLbQ0g4ShSsyGVQYQeI5lYtZBSI+No4rNayxrRpvMLIUcOFnmmu2WYmGJl04NUi5FRJHD0IChFcBlGwI+/XA/O9cnhKFluE8Spy3Kvsfh8YCCU+KqHQkHz0TMLLisHfLYvBo2jEUoFTMxD65jEcKycVXCQFlSb3k0mg61psNiTbG4DAtVw2I1Zb6aMl2FhSBlw9oG77l9npt2aQpOhamFCvNLHgtVh4WqYH45ZW4x5uK84fiMZc/OeX7tAxH1xmpeOFbk6HjCi2didDHiX7xtmSQcYT7YlF62feg3v+ct6tcvHE/TDbt+/JWGzsse/6gA/uLB4/RXCoWnD4xvePipZ9/dqM3+xtWbLlDx+vjGE4qGmeOX35/QaK7i2LjPkTMJ974Q8fobp/i/3m2p14e5MFtkdtFlYVmwWDMs1xOWaglL9YyyTDcsVjR4+y1V3vwqw5bVPlFUZKnqs9xwqdYVSw1BvSkIQkuUWNIUlLR4DhQ8S3/FMjoYo52A01MRh055mKTEm66P0M4yzx/tY9Nq+OYzCbfs8ZittvC1IkljBgcgiR20k7CwUOTVV9f45pNlNq+G506GOBR546sMiWhx6HTK2QkfLV1WDWgGSoKCJ3BdgRKQGIhiSxBBvWlZbhjqTcNy07DQsLTSlI3rmrz5hipvvzkCU2ZhuY+5pQILVYfFqmaxCku1rBjMV1POzwnmo5h/+/6L3Hl1hXufWsOR0ynHL8QspyG/9MEFwvpq7nrcwfWX+eG39bF5w9D/7Zdf+wWjt5/HNFprNux4paHUefyj0cFb9efwS7gvHBz/0PiFM390/MRJsWHVIuVSzOohy417SvzxXZJqUGXvFomjh+gvS6aWA4bKIeViihJNmqECK1DSwXEkruvgu5KCl1DyDUMNmK2X+dLDRR7Y3+T119a5cdcCG1cpNvY71Oo+Ox0JKKJEYozAWGgGgDAMlANOTlqqYcT9+0qEzT62rXW5aW+T2CzzyP5+rtquOTndYO1ghdGhJgfPFlg1aDl6TvMz31/j6Lhi1aDmyNmUizMVNq6ucerCIK+5wvLooRpf31fkxt193LY34FWXNbjv+ZBGIjh4WFMparSAZktirCA1ljgBpEG7hmrDUirH7NgRcvNlTV5/TcJQyWdmcYiFqs9S1WOprlmqCaoNy3I9oVpLWKobFuuWxZakFhtqjZiDZy37DqVMzKacnILdO2vs3dzgD7+QcrEaMuIZXjgxjUiWfr00uPbfm4L66Zlk58cefval6LWv2vNKQwr4RwLwMIplGLS+d9+9X9s2U2v87sHDz6vXXl7g/v0jPPFSwI6NAWFUY7Gp+NwjPqU7l9iyrsXe7RZdaCFli76SwNMuYaSQwqKVxXU0nqMoeJqirygXEyrFlKGyYU2fYK5R5u7Hy3ztkZArtrcYG0xpNAPuvCFk05ghSSVaWqIEHjvsc37WZ/WA4aXTPphBdq1TXH2VwfPr7DvSZG6+j8s3FUnEElOzDtdth/HpmOGSz8ggeNOaZuAxs6hxtMOmNVWOnB3k6ss8zl6scf5iP2+5IWW2usAzR/o5PF7i2p0F3n97ALLBgbOG0cEGM3Mxjx5wCGKFlqCNZdPqiNffEFFvKNYMGK7eDlFUYrFa5KUpj+WGQ62pqDYktQbUmim1RkKtkVJtWpYaMNtUzDYAE3LwVMKLpxp88/kGxYJl6/oG77t9kb5SyB3XT3DTlR671mum5wb52sOe3LD6QdZuTf9rEFwovuZtbzmVpsk3lNLmlcbWKw7wKAiIw/BDTz/z7O+dPnN4cHxyhjXDCdft9mgEPqcmBKcnXRYahkpJ8o0nyrxwqsHrrq0zUIp45nCZJCkyMVvn/a+rsmG1wXUTXCfFdz2KvkO5oakVJOWWQ19J0wxSGq2UVaGhFVrqgcfinM/EBUuUGCanEzzPAgJXWbQUNFuZwy9paq7cJNi6xrJhbZMwrfOtZxXHTg3whms8rr5siU98y+KKIpvWNjn4pGJtv2K40sRXBaLYYbYOJV+zbpXgxWMRV+8ocNtV83z87hauU+Z111scr8lDz0R88+kSR84W2LKmyKbVKSMDEZuHY/ZsSlHKoJUFLEXPY6TfI4od6k2Xl046NAJNs6VoBJJGCxqBpdHM3nu9ldJoGaoty3JTMNNQzCwbKpVlPvSGGe68LqIVGTaNGQZK8LprUtYNF1haGmTnWsVitcihExVOXZC8cCrBLwvmDzzlOO663zt+bPXith3X/+taPfp4pez+rwvw8emAqWXxzw4ceOq3nn7swcFj56bxihE7N0VsGIOt632EcKgUYKEG1aZluSWZr/bxmW9WaCaW1AjixPDYoRYnLs7x9pub3Lw7pK9YYaFaoljzqRQd6s1MjmsEklagaYaaILQEkSGKLXFsSdLsGSUu1oBUAkcLfFfQXxYMlGFs2LBuVZPhgSr3Pg+PveAgTR9vuMbhyl119h2JiYIKN10pqLZazC6UuHGHYbi/SUF7BIlirhajjODKHZpiOWT/cZ9br+7jhivq7D+uwPZxzW6XH3vLIg++GPHAsyWOnvfZMKIYGywwUC7SV4aCB462KAnGwtGzgjQVxIkgSiCMyd5jmNIKDUFoaAaGRmhotqAWwlxDMVuHwLR43dULvPXmKj/4hgQli4Sx5ubdKr9pCpyf8qg2Xap1l7llzdQcjF+MODeXsDdK2L02RonzfPvb9w0a0/wP111/q7a29qdCVP7XA/j8wiJSJj924ti+3zrw/D2ja4bqTM0OcPR8QD2ocscVTbaubRHFRZR08b2Ecj2hr2UYKlqaETQjQZBAM1bUwgqffsjnof01btm7zA/eUWXP5iZD/UUWlos0Wh6NlpMDW2XPSBDGkjgRJAmkxtJ2iypp0Rp8F4oFw2A5Zu1ok4QGJydjPv+oz5kLJfq9Atft1ty4t8YzJ6rc/1SF67f7bFjd5NMPC5TwqJRjlhshxoISMFJpUqu7mKTA994yy+e+WWTrjM+br28SxQs8emiIOPV51e5R3nxdje3rqzy0v8nBC0UOnHVZNygZrGQjdK6T3YRSgBAWY8EYS5zkN2tsCePsRg4jaEZQCwTLoWCxDuiAq3Yu84OvX+aWy1NGKh7Vej+NlkcYa8LIIYg0zUDTaGmqDcVSXbGwbJmejzkzZahUAl61M2VN3wBHz1TYf2yWZnLv6PSS81tves2rbbO+/GfFcv//GgC//55Psv98H1++++EfMlHwuxPnXhh+cP8s732d4fary8RJiclaQmyqjA3VWag6GOOgVJYx4nsJxSClmVffIIIgFvR7gmqoWawO8oVvl3n6pQY3XbHMD75umau2VhlKCySJRzPwabQcWqEmihVxIklSSWoExgoEFiksnmso+gmeG+E6IZMLIXc/Jzk14XJ2YgBlPLaudrlss+KaXTWUN8eh02XW9he5fAuMjSyxWKuwZ60kMZZ7n/UIm5L+UsIbXxXwjUdjzk+X2bnNYWo54PAZh/WrBrhi8xz7DtZ58rAgjFx2bR5k13qPXevqnJ5a5NQkPHusyMkzJYpa4GlJybP4DkiZyWLWZjdrkkKUQJQKGqGgFghqMcQmIbUB126v8YOvr3HLnpTVgy5hWGGx6tNouQSRJgg1rUjRCjXNQNFoCqpNwXLdsrgcM7eUMLkMg4MhFa/EyXP9PPKCYWC4ybXbpzlx7KHRJ/XM7/YPiGRq/HOfuOehmB/9kQ/+zwvwP/n4l7h98/O0wr3vX1w+8ftpfL7fxAUWqv1MLM5y6945EAOcXwwZ7AspuSFDfRFJKhFCo7XCy0FeCAyt0BBGhiCGcmSo+DBYENRDh8XaAF9+rMLDBwJWDTR59+1Vdq0PCFoNLt9sWT+mssZQqkiNxLbBLQ2OTjk3Yzk7LVhuGe7aV2RyfgAbOQz4ijVDmo1jmi1r4fKtNYyc5yPfKLG42Mf1uzSXb63y0AGBSBxGBySlYkIzdpFWgpUo7VINBDOLgt22yO3X1Hlif4E1wy7XXz7Ij75lno99s86zx0s0AoeF5TKb1xTYubrJq3bUecetdS4uLnLXPo+Fpse5KYfJSRdHCaSUCATGWlIDsbGkiWFgKGbv7iZhGLNrfcg7bw8Z7VMMlj3ixGdqzqcVuLQiTau9ykWSVqhohYJGIGi0oN5IqTYSFqspiw1LNZKkdXh4v2JiKuGlCzHv3BUy1l/h8f11/uCFx4ev2LXm93ds2Bz/t09f+MxjD32aW+/4wP98AP/sFz7Ljm1rxRdeDN51anzyo88fmit6rmHP5kXWDVf4i/sHGeyb5s5rF3mV22JsKKXRDOkvt4gTibUgpcJREtdx8ByD76WEoSGIM6AXYyhFlj4/ZbAoaEaSelTi7ESJ3/nMIJgEkSRcs7fJ5rGIJAFjDdZmTRwpBFIJtONy/LzL0VM+JV9TdiXDRcHIkGR0ULNmRLFxdcrOjcukYoE/+GqFc+f7uX6Hw65NKa2kzlOHPPoLDkN9lv5yRLGQUSFjJNVAsdiwLFRTqo0Cr758meeONjl2XtFf8XnV7n5+/HsX+MOvwf5TJRoty3JdM7NYYWy4yOhAwMahgP/rXU0qxSoHz8LxCxLHsShlEcIANvufhSSBTWMpN+1JSGOHOPGwtkgQOUzPuxmgI4cgVIRRBuwgkgShoBUKmqGgFZjO5rTaSFlqGBYbkiCxVGclX3sywHFS3nRDnQ++LuXk+QqxWOQtN4E0Sb+J5Ud/5afXJ9suu+aL937rc/ZNd773fx6Anz/6cdbvUuobdx15++Li1CfWVs76cnsfB05JHn8hJAgE/drlD768hj/8Wou+QpNfeO8Cb3t1naHYJUkVxoIQDlppXEfiuoogFASeoRCZzmYxig1hnEl7UWwIE4gSQRBLwtQjTn2OnSpx4Bik1pJBO+PGjgRXZZ6PsgeXr4ZKAfpKkoGyYqhfMzoIG8ZCVo8sE9tF/uCrfZw+08fVWxRb1km2rlvi24cTZhb6uGazZKBi8N0WnvSwSmSrkbUkacRSw2dmweHqXQWu3FFn336fVQOCol/m6h2Gn337Ar//NcPhyTLLDcNyXTG3pBnuLzFQKTBQ6aNSjBkpxWy8OsJzEhydoFSKFNlmwpLdVHGsmJ3TxIkiThRRrAjj/DWShLHseRWEEQSRIIgsQZhlszQCQ6NlWG5YFhuC6bokCFq867YF/vV76xRdH0mJVjBI0dfcvlezVC3wwknJ+Oy54mtvFJ+470HMXc9t+OqH//MX0g//n+/+pw/wRx76LKemiurC9MI7TXjx48+8eN7ftSXiql11PKfCmUnJQjWhUjAs1DWz9T7OXKzwG3/hodQUr7u6ykBFYYxACFASHKVwHUnLyStNbPHbakiS5q89zxSS1JKmhtSQ8W1DB9ztv1dLcBzwtMD3BEVPUioq+oqSgT7B6GDCxrEm5dIyX30i4tFDgyzPV9i7QbFxtcP29QGpWObeZ4uUHM3IgKJcDDh0Go6c0exZb2mGiiu2x+zdapmeSplbcmkFRd50XZ3HD7Y4OakoFSSeW2HPFsOv/9ACjxxu8Y1HhlmoWTaOpixVNf0VRV/JoVx0KBUsvmfwXIOnU7TKqJbMJ26tJWtYGUFiJEkqSBJBnEiiRGRzobHIi4LINqYRhHFKGKUEYUYHm4Gh3pEVJY045O03z/CLHwhYNTDA3FKFuWqBharPct1hfllyZiLl8PmQy7bHxM3T/tEZ/cnbd9kf3ryu+KVPfubT6Qff/w9LV/7BAZ7ERRmE0XsPnJ35YxGd9S/fUOb4ecnezQ12bfKw+BQLkqVaQslLqfiGii8YXxjk1/7c0v/T09ywu0ZqFBbyJk624fTaAI8EcazyCyQzBSGxxDmoM3Bn6kJqc6UkV0uEEEgJSgq0Frha4LkS35OUCoJK0dJfNqwaDBkZqJPYZb74uORj3xxi1PfZu0GwYbXDpjWGjauX+OpTlsVFn11jioEKlIsxM+OS2SUPdzOEsWCkT9LfDyfPWpZqhul5n+2bfF57TZ27H/MZKoPnuijZz56tgp948yyOnOXr+wY4MumzqhYz2p/QV1KUC4piQVLwNJ4LngNaZ40uKUCKHpCT3dipgTQVJCk50LPRvyiBOE6Jk2wljCJDGBuCyNIKLc3QUg9gvimZqhtuu2Kef/cjdQaKg4xf7GdhucBizWWhqlisCmYXE45fiEHF7Fzjcvqcz3LrjL9pLPno8tIWDf5nyerMP02Av/jM17A2/aGZqUP/qbY0U1k/FnLb1S0um6owXJZEccyaEQelFL4r8d0Ez83iygSSIxf7+ezDdS7fXKe/7GJMDsa8S+k6Ej9fWrNKlFWlOM14Z1vXbl9UYyy9U+NCZABXSqCVwNEZQHwPir6hXEjoLyeM9LcYHljmiWMRn7y/wPGz/Wzqc9g6BuvGXNatgp0bajSTGs8crVBQDiMDiv4y9JdDBvoSXFcjRHZztUKXxVrMctNSbSTMLrlsGCtzw65Z7n+2yfHJCkUvxlEuQvSxda3ig6+b59qds3zy/jLPvNTPQkMzWknoLyYUfUnBV3iOwHMkjiPQSqIUuXyYodwC1mafR/szSfICkKRZUUgSQ5wYoqQrMYaRpZVLjNVAMtsUDJYa/OAdVdYNFzk23s/0Qom5JTczfFUNi9WYheWYRtMQGIe792nOzoZcuS3lyPHxinHiP7j+6ivcT3/+Lz/2gfd83z89gFs7C8h/9sgDX/+tB568MNRfiTk7G1JPWty6p8Fon2ZqXhAlEik9fEfhuw4FL7tQqUmYrGoePVxhanmJyzc0iGKJEBYtDZ6T4rk6B7ckjmUObpGDW5LklartJ+mAO2tS5pUbtMoaJq5j8V1DwU8o+wkDlZDVwzVmqk3+6C6He58bZHGpxLYRwYZRwdpRl3Wjgs1rArS7zOce1Zy5UGLHKslAWdJXSpEyZHLO4mmJFGCtIIo1G0drPEtKralYqllmFgvsWOfzjturfOkhl/EZD0fHCOFgbIk4kVyzeYmN76tx7/4mn753kOfHS6wdEAyXUkp+iu8KPEfgOhJHC7Qi2zhL0XHVWbKbrK2XpyYDfAfkqSVJIMrpXRhDkGR8vB4JFiPJcpCwa02Nmy5LWFgeYXapyMSsx9ySYLmeslyLWa6nLNQM803JxSVYiurccuUSI30uSegyUjo/1Ai2/+6b3vx96uRE9U+3r/uHSdz6BwH40nKdetP50TPHH/itpdlDozap8NKJkMlFn9l6P/c+V+cdt9R4zd4YRxuUtPiuS8HXVEqSSslFazgxn1ANLAkGzwsoFTRSWrRKcV0HL9JEsc6AnT8zfpnp2h2ubQXW5qzEZpVbimwlUMriKIPrGDw3peAllAshw/0NWnGLhw5ZPv/tPp55qZ8B12HPWsvqQcmqIZc1I5J1qyK2rF3i4HiLux4foU9pRvoElZKgUoypNlO++ZRP2bUIkQGrFWq+96aQe542VJuWasMwu6RZN1rm+29u8MyxOkdPupS8BCVFBnJTJIgyrv/B11bZsXqWzz1S48kj/ZxfKjBWEfT5NvfAG1wHtBIomd3IWSWHtoHU5FQtq+Q2r+Z0zFtxStYRTaEVC5qJoBoJqrGBuIUmpFRIWa5Zzk5qzk9nxq16M6XeTFluWiaXFfNhwutunOMHXh2yY63P/LLP5FyRCxcVTz57ZHRs1ehvve0Nt5lmvfbnxfLff8fz7xXg1s7xyNOGpbr50PjJb//HfU8+OLRz3SS3Xj3EC8dKuDqloBKOnfT48Emf/+PtM7zz1kWkNBQ8n3LRpRUq4lhy454Wt984xYunWwwOJjhORLkAWiU42sOLXSJXEyeZMpCkiiSRJEaSpm1wS0zOt63NLqwQNt9UZj4OrQ2uk+K5MQUvolxokdLiwf2Szzzcz0tn+xCxx6YBy+p+y3C/YmTQZWxYsmYkZsNYjQtzdf77N0okYYF16wT9ZU2lBJVijHAiaq0S/WWLENmNFieSQU+RmIR67FJvpizVFJNzBXZvKfOTb13mdz/rcW6uhFZxfmNoksQniCRjQx7XbKuxd0uDw+cm+fy3C9z/fD8XqwVKnqLsQsmxuNriKNAya+cLQU8lzx7GQJpvQjPdPOPmcZqDO83A3UggShJMHEDSZHnZ8qn7Bc8dMywsJAwWEqIk9/aEgvmGYiFKePdrp/m57wuJo1HOXezj4pzLmUnDCydjYnWRwwe/OTrUL/7j7bdcm1g7/hdnJgfYuu7vr+v59wrwKGpx+w2Ft508tu8PD71wf+XpQwEP7Hf5v969xFU7FX1lj6k5SaWY8NjRMl98pMFrr55l85jB90oEoUsUK6SA/kqDV69aoplaPvzfyvzwm1vs2Rwy2p9Q8EOi2CWKHZJEEyUZ0FMjSVOJMTJv3mTAtp0NJUhhUMqilUHrBM9NcFRErRUzV4v5L1/1OTs7wP6j/VjjMlQQjA5bhvsEQxXFUL/DqiHJ2FDC2pEmQ/1L3PuC4fkj/exdJxgoS8pFSaVoKBUihBPieRqtsp9vLaSppBVqWkFMYgT1lqHesCzWHKYXKty4s8ENu5f53AM+hUWFlnEGRqtJUpcolrRCh+F+n2u3Nrh2W4Nnb7vIuTnJJ+/vZ3a5yMSCh6skJUfgtmmYzDaenULepirkfNyIDOAGQgOtBKLUINIYkhhXtRgdanHllhY/9D117t1X5GuP+gwMwGjRoqQgTCS1CBYbhsvWLvHe26sU9CqePzzI6QnN1HzC+FRMi5B//c4lasvw9W89NDS1pP7whmuuXQqC1l1/n5j8ewP4vueOId316pv3fGLbhfOHKyVvltuv6Odb+8v0V8YZWAWlQj9rR10u25SC3+Arj2r+82c9fulHqwwVWhS8TB1JUkMQRTzyjOCT9/Tx2PNF7n12gLIf80NvbrJ+KGbjmoAb9zRQQjFY0CA0SSoxJpMUrc380u2HwCKkRYmUMLZYEpAJh89KnjumufuZMofPl4mSImWtGClYBkuWgaLNdPCKZrBPM9QvGBtMWDPSYvXIEo++FPKRu0dZ3a8ZqUClpKiUBOViQsELeeKEIog0TikDlbXZvsPXiqt2tHj6UD+NFtRaKcs1h/llj5n5AX7yzTNMzC/w9IsjOBIQMQayGzp2CCNJo6UZKPv0V0rcsKPJbXubvO81cxy7YLjnGZ9njhU4caZEIjRhqGjGCiUkQoiXbTxTC6k1JBk5xxExfW5EUSTccE2DzatD1o1EfPCNAeWCpVI2jFTg3NICh09bLlR9glRSdCweMVuH6vz8D85ww+6ELzxguf9JS6MZslg3jC9CpS8ijcs89VKZyYVZiv7DlbQ5te39736falUPpoW+K/7xAPzixCFWrx1zDx169EeCMPxPE1PLVMoR11w2y55dhuVmSKUwz5a1TVYPe7huyOn5GCH7+PS3Rzgx1aTsJtywJ+LOm1o8+KzH/c9WGJ8sMLlUhIKimgiqNcN//EyKTRNWjYTs3hgw1Jfwzte22DDaIo6zDSVkAO8IJjn/lNIgpODLjxQ4eLqE0JpzF4tMzhTxC4o+T9BfsrlUCeWCoK+oqJQVA2XNUD8M9yesGgpYO1ojtct8+fEKrUaJ7esslaKiXJSUC4ayn9Gqe5/2CZsSZzQLgmxTlFJB8aZXtXjsBUMjlDRaKbWmZrmumV4octnmMu+8pcb+w0XOLZZR0gBxvjF0iFNFGGcyaSPQVBsu5UKRUiHksnUB1+8MuDBbZXxqGe2kHDij+dK3iwilMnCLS2IprQEM1hiS2LBxVcy772gxXDHs2mBYNQwmVSRJAWMkzYbl5itSPrpxifGLVe591ueh5zzuvDHkpstDiq7lul0paWo5MVXjkaNlPK1pRBa3ENBXafKfvlgBU+eK7SFBcxprN/ynZ59/vFkq7f3Yc/tfiq675u8+NPH3AnAbHmdh8vwOEY7/0eTZR6UQLk8c1hw8F7F2leEz969m79aQPRsjrAlYrAvufW6IWJTRvmT/yX5sanjkqOG/3JUSRxIShXAUXlki6ZJHYy3GGmYalukDBitSvvZMghQp1hqENdAbIJlpgQihEEIilSKJNdJoHC0pe7B5xFJyDEXPUPSg6AlKBUm5oKgUNX1lyUAFhvoSRgZC1ozUSVniv3zFZ9+hUbYOwUAxr95FSbmQUCxElIotCoUinpIomXNwMt4bxw5BS9AKU+qhohEY6i2TjcyVXCZm+nj17pCffdcMv/clzfllDyEM1saY1BInDlEsCUKHRktRbmlKvkux4FP0ivheTLkQcc32CNeJuW57wg/e0USrJG8CGYSwLyPl1mZ7FyEkvpulAQSRYmlZY3LPTi5C0QwMJZ1yzbaEvZssP/N9LTxX4CqPOFVU6xLXSfng60NWDVxkoa6xxrJnU8SezQmfeSBl3ailv6jYf7LA3Q89K89N6T9au6b1eBgGL/19YPPvDPDHHvoCk9ODhYXFg2+fmjwoZheHOXTGYa6acuqc5fHnwRGw/yXLY89njRchJZ4rWNcncm1YYqzKNjsWhJPt+iWghEXSBWwKpFaQWklqFcY6GX/slQHzC5ZjGyVAC5F1KhX4BYuvLb5K8RzwNPiupeAJCq6kWJAUfZ0BvCToLxsGKwlD/SGjgw3WjC7wkbsNn75/Fev7FcNlQ6WkKBcVpSIUC1lO4dSC4fSUh+9m9tsMQFknNYg0m8cMY8MBtcClFdi8ikuW65pywadc7OcH75jlzNQ0H71rLVpqLIbUpCTGEieaMFK540/S9CXFQFPwHApeSrWe7TFcJ8XRKY6TomU2KCFlipQ2o26ijW6RU5ZsVK/WaEusEpu7LS2ip0lm8884c2AioNHKNvjWis41KOiU970mS+1KU4dmUKYZaN7/Wkm96VBtOFy3WfFiYjh98mlRcq98++U79p7+3Be+1nrvu/9u+St/Z4DXA9x68+wvXpyY/cUHnkHefm2TLWv6OTbusFBNqDZSmkHm+AvjzLqZZqJ0XmhtVjXyzc6l6b2X7vqt7Xbl2nqupf0qVvx3ApDSZgCXJhvvUpmy4CiBo22mG2uB78l8dlNR8BXlgqRctPSVUvrLCYOVkOGBJhtWLfDMiZDPPbKGAd9jVdlQKYoM3AVJyTeU/IRyMeSZ43DgWJFtIzbnvd22eStUXLfTsn1Di2df6qcZ2szv0dI5yB2KfoGC3897bl3kwIlZnj46BlZhTJrZYRNLEtuOn6QVaoqBpeArfNfguQ6em+Jpg9YpjjZoZVAqk2alzICZVXKLaEup+WdrO4DPgG7pArd7ceyKa5Rt6tvXpr3BF/n8qCCJJWGsaIWKRpBV+fllOHYuRXvL3H5lKi8uzf67ucUL7uhw+TeB6BUDeKMRyjBsfvjRB/77v7bpuFsuaYxd5oqdgsQOUJl3WawZ6s2UVpgSRll3LE5tziWzN25sRgHb2qz9DkDv6Nidr+0Kbbv90v6w21q37GnoKJl3LBU4OhsUcPPun+cqfE9R8ATFgsg2UsWUvlJCfzlkqK/FmpElnj7e4sMfX8X5iX62DBv6i1ApKEoFRcmHkp9S8GNcJ6AaWJRUOMoiZffmS01muooTl0ohppkYmmF2Pk8zSKk3JdWColj38L0ym8Zifv1HqvzaJyRPHV2FRWGsyW0ImTwXxYogUrQ8SSHMOsOea7O0W21wnEzv18pmAFc2v/ltTyXOC04bvbb9WXeBveI65J92p39me24Gm9sC8u/TVGTSYywzh2IgqTWzif65xWzA+dormtQjzf6j51zHrfzbO9/ww04QBP+37/t/63b+3xrgF2dqLNeD3zy4/6F/efDotH/oTIWz8yFrxgwDfYtsWevg6SLFgmK5Lmm0FEHu344SQ5raTmMhzVvHpv0BmpUgfzm4abtBX/ZoS2BZ9c7oSdtrolQml+l8FM3REs/NAoB8L4tkKHiWUsFQLqRUijF95YjBSos1I8s8fazJr31smOPnB9k4mCks5YKkVJRZ9S5Yin5K0Y+J04hPPVBGKoWTryKdCm4zgCepwwffsMR9z0fUI49mDvBGS1FvKKqexnc9PKfCzvUJv/FjC/zqxwRPvrQKYyWpMSSpyQFuCSND6GfTSp4n8B2RcWJH4mrb6dhqZZAq08alyIDe1sg7dKVTWXKAt7/OK7LtuRa9cqzJgW3yRluakhm8ciNXEAlaoaXRMtRyX/nEgmW2FbNqMOSqbQn9hQLjFy/49z1w99tKBe9Xz51+go1bb/7/L8BPnD6JMfaGhx57vrBpVZUrt/TRbLnc9SiMDczyxmuWsFbgOB6+my27zUBmWSOxyV1+hjSxucPPdkbGbAfsdmU1b3+g3wXg3YvUruDdTp5SAp0bqjKASxxHZv4NV+B7WeZJ0c/a3pViTKUU0V9pMdJf5ZljTT7854McPjfMugHBUKmHmviakp/5Vwp+QsGLcJyQyYUBHCVQ0uSyXHeTmaaSJFGsHrAkSUwt9mmFNnPuBSn1QFJoZvYF1/FxdB+71iX8xo/O8ct/Bk8fGSU1maQap5YkSTMPSWwIPYMfSQJXdSiY44CjM4qW+VQsWmYUTuZA763iKwXWnuLSBvgl4G4Xp3bDqAPuNDNzRQlEUZb01R76rjZS5qtwek7wphuWeMdNismZVRw+pblYa7Fu9YFdN7zhLX9obfLP/7Y4/VsBfPL011izpVF8/8/c567tW8LRlu+9dZ61o2X++G7LmSnDyMASrVAjpcHVGcjrrRzkkcy8DnHGI7s21oy6ZJQlM0aZXjB/F/rSC/B2S1qIbE5RKtGhJkpmWdtdegK+A55rKPiWgpfx52IhplKM6C+1GB6o8vzJgF/90wEOnRthTb9ipGToKwjKvqToK4oFQcG3FL12qz/i6aOCRuDiK/KbLOPg7SqYDUtrSr7ixsvrPHO4QjPOaEorTGm2FHVP4bkK13Fz/tzPZesNv/3js/zCn8CTR0eJjSQ2Jh+W7jFIuRLPNVn1zr0pTn5zZ8/cqtBu418CcsF3WCHtpStrD7Dztn8H4CnEhszVGWe/WxgZgiClEaTUWpalOkzWJDP1kJ1ra8RJga88Inj2VMr1lxkWlxadi+N37Xn41A8W//gv7m7+8w+95R8e4FMXzzMwtL7/6X2f/e8bh4JbH3wh4cJ8wKYNy/iVKtot8fXHS9x2xRw37lrI7K3C4mg3n8SxtCJJFAmiWOTOP9mhK6ZTyTMTULuKd/nfd0Z3VrkzEAmZT+fkTsEM4FkVd3RWyVwHXMfgu7nByksp5PSiXAjpK7cYKNd48VTIr/7pAAfGRxnr14wUDX0FKPmCUkFRLCiKneqdZsPRxYBHD7gsV30GBrpt8vxt9HBSxeiQ4o4rGzz6nKEVCYLI9IBc4jsS39E42kXrAlIaLltv+a0fn+UX/sTy5PFRYqOJ08wBmNles0ruxbLjLnS1ROvchCUFSmefi8r3J1mfQKwA+HcigZaVXNz0rLhtqpmmkBrTGXyO47bt1tAKLPWWYbkpmKpLpmsJr7tqju+7pcHMQkotmWXVMLz5xoB1QwVeOlm+dax88s9+9APv+qk333Z+efPmv1l0898Y4BcvTjI3P/sL+56ZfO9TB+axkcup8SF+7v8dohULgkRQb1h+9c8dfuOfTXPjzoVMRlKlzNikNV6oCEKZmetTSHKgt5e1bHNiMy5us4oOvUtk7wcvutREdqlJL+9uOwa1IvNnaIvjZIPFvmvw3ZSCn1D0Y0p+SLkYMNhXZf+JkF/8k2FePLOK0X6H0WJKX9Hm4M6rty8peFn1972EoheRmJB65CGUxGlX8A4HFzkYJEkiiWOHkhtkdoHIZ6AN8iCl6ar8SBSJozWO9jL1Q1j2bLL87k/N8PN/bHjy2CpiowlTQZTmfDwW+LHBcyyuI3C1yVcvma1m+YqWfT75VH77tWcVfBnAe8DdbjmYjgU3K05panPTlul4y8PYEuSe8uWWYKYumarF3Hb5LP/+R+qsGRygoH1+68clYegQJWWwKav7ZphrnX/vwUMvnE6S+Jf/pnj9GwH81OmLjI6u3vjVr/zx3qHiOd7z2jLnpzWLtZRaI6XesjQCw1JZcH56kA9/HH7tQ9Ncs7WaDfUKi5YWRxtcRxHlPu4oFpkLMO1O27zMCbiCpthcY20bqHp5d+6eyyd02suw1hZHZcB2te24B30nzXlzTMEPGag06SvVefpowi99ZJgXzqxipE8zUkjp8y3lHNwFP5MT2+AueCm+m1ApRRwdtzyyv4QrJY7KJmt6wdKudnGqSIzm9mtitm1pcPp8gZFidlpcNiqW0gzyKqwVWjsoafOmkeXyjfDbPzHPL/+J4fHDIwRxgTDN6F8xyWiB55CBXLdXL5MDXKJUmlfxzFLbruBSiB4+/rIS3sO97QpwtwGeDZh0J6qi2BLE0Ios9UAw35TMBym3753lV36wwZrBQU5dqFBruNRbDrVGlsC1WIXxqRTpXKBUeWrvu979Uxtri1PnKoN//QOy/toAn5icwy8MbJoYf/L/rdWX3jY+ucQbX2XZsq6P0xcKzC7pLJW1njLQSCm5hqMTg/y7j8d87OfnGSo7pCbzRCutcbQhdFQ2gRPLDsCT3AnYUVbMJQDPq3ZbEuyoJh1Z0CJVWxbMJluUzKu2trja4DhtP3kGSt+LKPohg31NlupNHnsJfvszYxw8NcxwDu7+gqVcEJR80dHKM+XFZNU7/7sKXkiUpgQtH19lN1kHMJ0q2JbOJEmiMy6vw2ywIBY9ADe4borraBxHopVCSacDcARcsVnw2z+1xH/8bMKTx4a4WK0QlCT9qaWcWHzH4uVPp0PR8s8lr94ZwDOKInv2L5ka1S0iXe7d3vzn4LY5uNNuXEWSdscFo8jSirMcm1oomWkJRgaq/LsfXmb90DCnLgwxu+SzWNVU64KlumFuKeXMVEJgWtx+Vcj80uq3Pfrks+lt11/+rxbnpsYHR/56IP9rAzyon0QkhevPnjny9oOHxjkx1Qcs8AO3z1DwhrkwU2RuKQuF6aulFP2EWgjHTleot6ZZP9IiihUIi5QujtK4sSGMM5trnGSJTGmeUZJ9WN0K3rG9diCe/X+vhttWA1SuDuiO3zuzxTra4HbssUk+QZSDe7DB3FKL3/pUkbueGmG+McBIn2TEz8HtZ7y7mG8sC56k6Nm8gmfc2/ciIOLhF12WYpchjxV+bERPo8pmPDyKNRVP89qrmzx9PKIee/TFhjDKcl/cMPOquzoDeHbDOgiZNWewsGu95Pf+jxr3PN3iN/98FRPzA7T6Nf2uoJwYigl4cRa97Kos0MhpbzSl6GyC279rey/Tlu4F3V1nb//B2nblzi23bWrSATjdhK04H5gIBY0oYVepwZ6NiiNn+jk7WWJ2SbBUyzzli9WEC/OGWhLwA7eHXLOtwsGT5zhx4ujbHafwqTBsjf+9VvBGo0Wx6G/f9+QjP/fUC/vZtQW2b3B4/MgITx6/wA/cPIOjR6gUCyzVNNV+xeiAYvWqBrdeN8/YUIRWioIfAgIlbNY6jjSu1tlETv5MU5PNC5p2m1jk4BaXVHE6bWaRV24hs9a+krYzzKBza6yjs7wT10lxnQTfjfHcmHKhhdZNHj2Q8mffrHD3vlEiU2G0Ihj2M1qSSYBtnVzlT5FX7t7qHaN1yBNH+mlGmtVFm3cML63gbbVBEicK31HccFmLxGQAb8WCoDMulkWuObotcarODZw3zrEIhvsF731Ng7J3kT//ZovHjgwxHRdo+pJKYilpm4Fc5/sQZTtKipYi/z3bN2MX4KJdvun+8p3Npe1W8bZyknQAnqUZRAkEiaAVC6qxYCkBY2KmFwQf+bpL2NIs12wWBNpMs+GPmuDMnOGtt9TZvnqQ+58q0YwaCO9prrt608/ddN1tL4RBcNLz/b87wE+dPs/5U/dQLvevWZ49ddv5iZAzwnD1zkV2bYZP3CPZNlbl2u2WUqGfwT6PZpAZc0YH62xYU2WgnL0p3w0QWJRM0drF0SlRnBIlijhWxKnsTONk1tdeHi5eJg+uqN55w6LNUVXeseuAW2VeDM+Jcd0Y34koFgNct8ln7tf8zl+McnpuEMfzGSsLBr2UimcpeVDKJ+wLXtbt9POGUOZfSfOVIKMn87WURuTiKoUruzIcvSpKe6OZZu8zShwKTsBYf4vlZplWLPK4tWyv4DhpLvOpXO5U3eZMZ+OaOR/fdkuD63bP8dufDPj0vSMsJiWankPJkVR05sHxNLg5fXJU+/PKaZ1oV/HeKSC7Qje8VEFpN+syT3k2CRSnECaCMIFmKqjFgkZiiZMIbMTkvMfvfLbC2kHBmr4QY7I4vsWWYGrZct3ueX78rXPcvc+nRcCr9qQ06i5PP3vithPjdk2ttnxycX6CweF1fzeAp8ZQHr5j07lzBz9y7OSLrB4Lefqwx3MnNEGSMLEwyC/+mcN//uezXLO1xWhUIowdhIBKsUl/JSZKUlKTUixkAGtpDx0lONrF0Ro30URakyQ5yFPZoSptkLd9DpcCXHboSRvgJufemefC0WlOTxJcnVESzw3xnBbjMwkfvafE1x4f4szMAJWiw6APA15K2bN5670NbpmDW3aaQn7OvT03e1+VUshXn9CcPFfAVyLrGLYVlO6OoRvjYDNKFieaXRvhLdfV+bNvDdEoaiqxJYgtXpTvG5RBa5mpH4oekDs91TVbFTYMS37pA032bp7gT+4e5Mx0H4tJgaajKSlBMQe6K22Hquh8z9JeHWQPwHsm3boA79G+u+DOgN0GdysVNPJpoDBJIQpQJsD1IqyB+apHPRZMVSVSWFqJxaYh1+xc4Dd/bJmtYy7vee0yQVxgel7zxGTAQvMAN123+yOX7bz9zlq9+j+kKn8lwG0agPR49rnn1506dWrr8rKhVi0zWpKUlKDacqhomJj3+Ge/5/OGq+Z4921LhKEGLFonGCH4468OUQ8kP/sDdTaORuzdkoEsjHyCKIv8dfTK8bNs7Ex2gNDumK2o3m2Qy271lh2Ap7nBKM0md3SC54W4OqSeRvzRF13+/J4xJhf6MarAYJ9i0LX0uYZiXrmLnfa9zH0qOTXJtfMOuN2sexnGEScnPBqRx4CXg6Zn09Zu9PQ2e5JUEseaSkmzeV2E8gLqUZmWKyjkE+1uTq+cnKLofGOYWYBfvnlNUsVwX5OffFuTt98+zZ/fU+OjXx5ivlWipX18rShqga8svrRZNW9TFdGVNbNKbjvd4RUAh87qmpi2KpTJvkE+5lZPsmwVkQQUVIsrdtbZNBby0+9oUA8kf/zVMpGtIpSDwBJFCe+9vc5tVwgKziCnLvSxVPOpNh2agWGoknJ+JubkySNbi767btvO68aDMMb3nO+K4b8S4PXaHOVSeWR4QH3xxMnnnU1jhiu3uZybdqnWsyNCJmdjlDCML1f47MM+X3gwxKZRFocmBAhFaBTWWp45PMhof8C7X1/lHa9pcsWWmH43ohX4hNrNRs9inQNc5WqK7NCTXt9aB9wdemKQyuSzlgatUpRKcZ0Y341wnYhqEPHEQcln7q/w5ceHCNIyrusy6Ar6XUPZtRQ9S9Htgtv3JJ4n8XJqkjWGcmUiB7jrZJ3Ps1OWx54vEsUOXsm+bIPZfhjb9WoYI4liheNo7riuzucebHB8okTLF4SxIHQsbgJObHAik8l7bVlPyG64Dys19tRIip5mVX+Ln39Pk8s2hHz6/jLPHe1jrlUiUC6Oo/G1oCDBlVlF14oc5O3PViDFy7HRruCpbc9yQpi2qzYEicFEIRXV4ModNd7+2jrvfl3EaEUg0FgLt+9tgKxBPqtqEk0S+9RbZabm+zl1vsyFmSx1YLkhuTArqPSlvHjoBWfLtuu/eHGmfmXQqs/9rSt4LRyQJ86cvP655x7pO30xoFBssWdblZHBIsa4tALJ/fsFJ6YEQ57B1w7NxCFqOwPzq+p1LqphspHy+1/u47PfrvO+25d43+ua7N0W46cejaZHrJxsvjIPxewAvMeH3KnguQ+5XbWlNJm2q7JsFd+NUDqi2kjY95Lg49+qcP/+PharZWTBp1RQDDiWimsoOpaiaym45FU7q9wFT+K7Ct8V+C65Q8/k4DZ4Tsa/lQ45MQGTVT9rrOTDvr2Nkw4QyazBbZAnRhJFmlUVwfb1LQ6dT2jGDmGuQLhRxpUdleYUpd2oAXnJZE775unIkKnG9xzefUeLN75qiYdeqPOJeys8d7TCQr1AVXo0XI2rBK7M5jcdkf3uWnRNYp1mGj0KCu05zswG3UwFLWNIgxjXNtm7Y5kPvK7GO2+NWDWkiaIy9UYWeGraf1u+sWrP0WaDHBqJ4exUwEPPOwSRIRUpQZLw2s0Bawbh4AsP9vWV7rh+6/bt3+KvCA/6KwHerM14Ucwf/+W3z5Wm5i0vjvs8eaTF1dur7N2aLWVzYYmlVoU+11JwDIOWzuBCuwvZvtNjIwhSh1bqMFP1+b3PlXn4hUX+5fsXeP2VTYYqCa2Wj1ZOVsWNWjFFgs01A9EGuMnpicm5d4rj5GqGjJmrpzz6vOKb+8rc9Vgfs7USwvdxyhm16nOySZ6CQ047oOCK/Clzy2nOu12B167ebYDrBNfNbiRrYx7e73FuqsDwoMCRJl/mRVeN6JQ/sgGCjuNO0QodNq4S3HF1k689FdGIHVqxwHcsbpJV8TBuW13TjIPnagdCrqAp2TMbvjZG5m4+TcELefdrWrz+ugX+8vE69+wr8ujBMrPVIi3h0nI1ylH5cIhEC4sWIh86ae8lbHejDMQ2A3dkLHGaIKKQNf013nDVMj/3/jpXbVfUaxWWqhkVbQ+Hty21K12IMo+whkopoL9/GVUsUCnDldsCrtqWsnVMEEeSOD1RkrzmjyfOT18GtP7GAK82DEkcvH/i/PP9t+5ucHKiyMSM5PTZAsfGE770bZM1W4xiuGjxdTbz2Lt8dTYieVVJcp7WSgR1R1NzSrwwrvm5/+Tx/bfM8+9+pMnaIYOMPXSaVfFs2c1mekTe3cl4oe2MXmmdVWzPiwnClOOTMH5R8fkHKnzruQqziyVwfXTFoagkZW0pO4aCYyk44DsZuH0nyyTMbKay5ynyf25zkJsOyF0nG087fdFw6KwHjoMju1ENnWSpHhJrez6jNBW5mpLFOe/ZHLJ7XYNjk0VavqCYCLzYEipyac90/DXZRrMtQXa5Shcw7aaZyjbwSZYiWyiE/NCdAd974xL3Pd/gCw8WGZ/0OXaxQLTskXqaUGlQEiWzkcHOPqLHKmsgj2lO8+TekK0jNX71R+f4vltiHFlgdq5EEPqEkZOpZYnKkw8EqRXYtnc8Bztkm9wokdy0W3Dj5SEWgatcbOpzfrrAhVk4Mp5yS3iEcrH0V9Xov6KCJzVhk+hnT5462q/dkD3bYcuYx/FzmqW6oBFkHSutMtmp047OmwHGrAR4N1zGUkwExVhQUIJ54VNrCj5/L+xYn/CLH2wiMMTSwSjVMzzczTWBjJJ4XpakmiQpU4uCB/ZrTl/weeTZIpNLBU5PFsH3UCUHX0tKGkraUNCWgmPxdBYc7znkIG4/Zf5UOcDJOXcObifFc7Lq7eoY3484OwdHx4s4cqU82KtEtLuBnQLQVlKMzHNdHHZvbLF9tMlLZxKaiUM5FoQa3DxlSvUAXEqBkHJFJe/QlLbC0fn7M7qSpJo4dQgjl0ox5INvCLllb5XJpSoPP+txZsLjvueLXFzwSFsOqdKkruoafVasRW2nVQomQiUBH7hzgfe8MSANyyxVKzRaBZqBRxBlBw5k2TV5te6RgU2PiCCERUkX1ymgVXYYWL2pWaxpjp2z1IM6SqecP3d0+Pu//0d/7uz41O9u3rT6O7rwvivA7/v2PViTEtTmOH2+jOsaRiqaNaOKwb4sdbTtFlvRwr2EnnTTk3KQp1ksWCG2eEoAkti6hLbA5++r8AOvDbhsU4gIU6zJuJpA5DN/uQzoZSaeMxcEh85qHni6yEvjHkfOFKiFHmHogeui+jSukhQVlLSloDNQeyoDbAbutm0284V7OS1xXYXryvzfsV3u7aRZZ9Fp8/wYayJmFiWh9dBaZpu1Hj35Ul9HG+Rpviy381yixEGgGRmMkCqgETs0tcBLLG7cNYxpZVZ0IGUv8HoKgs2XfJN2QZ6mEidVnfiJZstjbCBiw6qIa7aEtKIWP3y2ykvjDg88XeDQGY8zFzziRIObv6l2Z1O0uz3ZURI7Nzd59xta2Nij1ihSbxZYbhRpthxakc7j9URH/k3bkXpmpZ+8d5VL02xQohVBEAIYNq9RuEpz8ny9dOTwI+/VWv3u36iCf/XuB2kFVXXhwgHhiRpvuN5her6EtYLBis1T/1WWwx1nVdmktuNJMD0ehfYoWruitEMewyQzPSXWshRJAqU4NenysXsK/NY/X8YtpPmZ74IkFDRaWZUan5Z85gGfZqR48YjHqQse8w2XMHHBcUE6yIrGUwJfQVFaCho8bTrAzrp5Gbg9TTa21ga3I3FzWuK54LnkqknWMs+MYkneEY0p+BGzSykPPFmmWvcY6BNoabqDBHIluFeA3PRsCI0kDBXDQ4o33hhw33MtzldLtByZ0RQNTmJxcqCrPB5ZyjSTC+nNOpE93UaN7VAVgUmz1SLVeRqY1iSpg1YenhtTcmNu2RNz4+6Q77894OQFyYEjLs1I8ekHCpyddoDs1Lk0FDknN0iV8sNvqbNtTUoaKeLEod7yWar61JqaIFK5FWOlka7XUNc72ZXm7f7MGWkIwizGGWBpWXNxOWHtWI0LEyfE1XuvVAee/2Zy5bVv/utX8IJf+aNBb/mKueWYtasX2bWxyFK9QKPpUW061JuKRkvSCiVhDHFCbpOkM7TQTnPt3p0rHWdl3xAmFrkU4SctTJTy7KHsSOoXT2jmlyUFD5494vD1fT5BrAhizdS0gxGK2DoYnHaoN0oqXCkoKEtBgq9y52BOo7Kvcy94PvDgtucyO+BW+Yym6FZvx+C6Bs9p8+6sertujFIR335B8bWnyihX40mbjahJLrGevryCt7XwjIdL4lQRBA7fe1OLu56o8emH+2gkPqWchzttHh7TGRpuTwuJHgqRM9luFbRdgKeOxE0lqZPTIp2BXOuEONFo5aJUFqQ/5MfctDPlhp0hVhje+doGQZx5hu563OPZoy4FzzK3JDlwQnP93hjlGawJ0Tqm2nCZnPVpBLmZzrRv6i6Naq/wxnSx0y6CUWI62eT1lqHWgmogmG9avGLAunVwZiK+4rabKn8E/ORfq4KfPt9kaKhQefCBv9wpaapWy/L7Xy1QdAPeeVuVLWtdwrDM3FKRxZpHvZlFFkQds1TvHdp9A51hhQ5Tyr64aleTHxqawtVLSJmyVJf8xG/38/QBj3pVIbUktJLQaKxQIDRIBVKD1AipkVLgKUFBWnyZVWpXZWB2OiDPBx10NybZyfPA21njveDOKrvFdQ1uG+RO2vNM8HSMtRGT8y5R6OP1Sdzcnqt6NOROF7NjWKJnY9UGuSQ12ZF9A2XF+uEIVwS0Eo9WIijozNfR6yHJ1KOeQQ8hOz/LduiKwBjTE4KfeX1WcvMUnUocpVEqa4wlaUoUu2iV5NJrwoaRNIubECmXbaoTYpEaajXJ0wc8vvBAgY9+tYRFIWWBYV9T8bvXunNz99JZs9JymyXcZhQ0CHP7dQOmqoJGmrBlbZ2fe1uNgqM5cX6QZitStXp95y23v6tibb0mRPmvBriJ51mc07/bWDr2mjSpMztf5NBhl1pk2fdSyO1XLfOOWxZYPxLiOn242qcZKMJEkiRtX3cm/rcN8R2ZD9HxjWgNpYJh45hh5ybJ8ECWePTkQc2/+i/9JKmTrcU2B7PKAI3QCKkQUuKITLf1pcVTBldmwHbyHD5H5wDPwe3obKI+O3oPXC0zzdrJBo/b4HZ1W++2+cCAzR19BlenODrBcWI8L+bCvOGT95VAuzhSdDeYlzjzxKV7M7oVPBsglpn2n2Yg/8E3tvjLR1scmSnTSB2Kicjfm8gdhXnHUbXl0vxnQXcz2NnMyhWnPHRokc5MXEmbl+fdX52qDOgqzey5KkXJJKdFGdiVTCnKFJEmlPtS3npLwO98ssJTB0oov0K5VOTKNbBhJKToZxaDtqKU3ee2u+HOQZ5eQmFbISw14GLdsmZVlZ+4tcbtVyjKfplGq0Cr4fHMkYCDR86+5vI9E7+bJum/+B9W8MWJexFCuEU5z5nZAUqe5ubLYKluWKgVeOCJAmcmlvi1H1pmuN8hMRKt20fy5eBOZYdPdUac2pPuwqJ1VhHLhYRSISKKFa3AQ8uQKBZILbNKrdy8YjsgnVwxkBmQZd5mljZrTuSVzZHtpbwnA0XT44XOh3Dz6ZYuwNtfZ+B2HZtba9sbyqxqO3n1dnWMlBHnpgVzNR+hNZ5kBT3ptOc7ttNuo6c3N6Srh2e0IUochiohG8daHJsOaaWaIAU/FTiJ7Ww2VdL2jZjODSSE6rmbugPDxsqevVHm1kyNITUCbbIICq0lOlWdLrBWaS5Lpiip89cUleoM5LkeL4hIjcF1LbgK4zo4jqQRpswuGUoFg5vPg8qem922M3FyStvm3XEuRLQiwUxN0Nff5OffHbBj9SDnpkscq7os1gTNpmHdUMwzBxdZbt3rrgh++m4AP3r8HEIIZheqtNKEa3drlmtlphcE1bphw6hB6j4azZSBkqXgJmhp8sONumdOpqnoCY5pS2XdPG7PzeYfS4WwEyfWwvLQfp8kcUC7oDyQLkIqlJQ4Avy8YjvS4sh2hy/vvLVTVNtgV13fc6eC94DbcWRWxd0ecDvtec02yLtAz1x9GT913ZiEmHueKDAzV8DpU7iyp83dq6DAyxs9l+jVvU2fIMwSbN98c4MnDgbUEp+m1hQSk723pNsllZ2bKavknckhK2nHRnd4riWX5yxOT7SDYwypMujUoLVBK4lWklQpUpWilMrUqx7gK6NQJkGrTJrUTsgd1wQ8d7BM0xiCJDsNQgpDlOYDF53Bih7GkAsRqe2qbEkKUX7Gp8Ay4DpcnF7F9HSBxZqgWrfMLCYstmL2bAmoCEl9eWIFFfqOAP/jT95HQxZenSw+cl0YOqSxQomEretC+suaejM7Zq7gewjbRxgF+G6M67RzPtouQNm5aL0AlyIHeK5EFLyIkh/guyGeH/LYEc0nvlXB4OXg9pBK40ooSPDyiu3klVJ3wE0ntUp3qrfoVLo2NWnPJHart+yp4pcAu/NMc/WkZ3PpxLhOxHTVsP9UAbSL7tCTtj99pf69wo2HWBGJ0VUUZEcTj2OHq7eFDPW3qC4VaSaKogInyd5LlFpUalFxL8DJQN75SflGs92c6XB/m/880zmvp502kBpBqiSJkjgqJVGy6+0xEmUkpk1h8i4zFpQ2fOhNLR57tsnDLxVpaZeFSAFZtIWXTxJ17LgrVrKeI1XyhmCSMwDfEYjE5amDioKbEMZZpsp8zdLXJ3GUh2MN68e47ic++OpX/5uf/Pq+wbVv/c4AD6MYpfmew+eCq3aPTdM/UGFyOWXn5gU2jPnMLRUJY4WjDSU/wnNitE5zrpeBOzES0wty2+bemXdEqzZYMutqwQsolxs8c8Twa3/Yz/h0EVwflI9SiqKEgrI5uPPq3Futc2B3B4tFj17cA2wleiIjZOfptjm3psO3vR5q0jsokeX7JWgdI4i5+3GPJ14qIz2NK0WHnqhL1JOu4+/Sbma3i9eWClOTWRRagcONl7d4yy11Pnp3mSj1aCQyU2l6bmolemiKlHkV7/1RMt/ciVxv7rFPGIljBEaZzqrraEmaN5NSJdA6T9DqAF1ilEF1THB5BzKAjaMt/v3PLPGL/1Wz77BiWRRJrSI0gqLK1Kzs3CC7wlpgLB1Qx7m3JclXHl9ZVNOSTiY4ClqJYLoGBa/Fzq0JJ6c8JC2+Z0Phqlqt9T1JHO/7jhU8qJ/HK5be+PQTD35g4WyNl04Pcn5BsliLODKuuPWqZV6zt0YU+whhKBdifC9GqhRhIYgUYaRJjOq4AdtW186xIbmspXWCo2M8J6RcbvHUkZRf/qN+njjcj/GLoH0cmVWsorL4KqckeViN0wGz7Rz/twLcMv9at1/bAJcrAe5k4O5U7p6ZTbcz3ta2qiY9z5iImC98u0Jq3VyetD1+6q4HRQrRUTZWcPD8NOLe6m3a+5dUkaYagcO7X9vkU/cELJsCLeMTGJG5CxWopG02E12KguTl3iPZI02KbnqYzjeeWmRnhhqRR8JlfNnofFVRBm0MxqT5KpOie1vsbWFSWG66rMnv/Owcv/iHgsdestSKBcJUU1Ayk217Ur4gtwzbDNShgchAEhtMnA0BKCmZdSRFP6NkYZrw2quWeO0VKVduUcwtuZyfLrNvf8xMK/3Arbe+8ZFjpy7et2vbmpUAPzMZ4/vxtuPjC1thlm0bxvAdyUKxwNxciSNnLvK6aydZO6qp1QWPH9DMLmbT6gDX7krYucmShi5x0jbVZJZX8on6DOC5P9uJcAstnnhJ8Et/MMBTx/swfgmhfRylKCtLUYGXy3xOb+XqrdhyZdVuZ6C0oxGyNCfZQ0+y2ISOktJDSzoT99rmldt0U1lzkGsd4zkR+09JTk76WOWipMSVBi3yNNzOAHSXgF+qorSfvVFnKyp5mjVLtq6J2b2lyVMnisTKpZUIfAlOmhuhpEUlFiHzz1iYTC5cQVW6+YIdkOt2i/zlFT1tV3QjSbVB9zSKUpN93x0n7HpI2pvaG3e1+J3/Y5Zf+P2Uxw/1E3oFIu1SUzLj4SK7DS0Z906MxaQG0ggZR+zY3OL6XS3AopTk4qLDvhcLNOuKgcGAqzanrCqPcuqcz/yyZGI2BjnHzf2zW1cPNra1/NZ9L6vgSbRMRES5kIAt0F+EtXsMxljKhZQ92wOeOKL5i/sGaSUOx096LFfbhnvDuvUBezY1ePvNTV7/qhZ9FU2cnwWfvfdu9bbETMxYPnmfz2ceqnDmYgXjFRGOh68kZWUpKIuvyPI8ZJtX55tJ1a3aWSRbG9C9VTyr3O0jAnUPLVkR/qNtZ06xXb3bw8lOTkvc3MyVTQXFWGK+9HCRhYUCwtMdi6mSveD+DhvMFTp4T3/gEh93RvUUcawZHpS86446+09VCFOfpnLx04yLa2FzJQVkYnPd3YIwgESsqOSykzMI+ZmZ7aqts99FK4HVNgeyJbU5R89XwWyDanLunpvgLqFZGSeXXLM54CO/MMfnHmryifv6mZguEkUuicqMS+12lDUpMomoFALecEON77+5ya5Nli3rQNpMYp2vCQ6drJIkKZ98wOPP7lnNFetdyp7BmpRSwVIue5ybipmYWqDV6poLOwB/5MGvI6VisTbH+jUBuzY0s6qmE1phyJ/fp/jiI1s4P13G9TL92fOzDyqycGLCcnQ84uv7Gtx+5SI/9dYq1+9pMFTOF01rqYaW83OSz33L58sPlzhxoUQkC+D4KO1QVIJSTkmyLmQX2G160su1u1W8m1yl2gDX7SxC2angWktcnQcAtcGdJ1w5eQV3OopJt3q3KYpW2UFVR87BF+8vE0qnQ0+cnnnGjoJCt3Jf2q1v7/c7Sort1ai7IPdTzbveEPDxbzU5eKZApByaUuKlJncsihzcl0bX2U68cZuytI1r7eRXq8UKO3O7mutOZIfEKNEFtDY9yovA2rT7O9u29yV7uqli01jAL36wyQ/c0eQrDxX53L1lphddFgONsQKFZbgS86rrmvzUW+vcshe09AlCn1bDza3SmaBw/S5DwYvZsSHii48t8I19Ka3AQymJrw3b1yZcmDjFl79aw9h0JcCT4BzK21D8bx/9k83PP7fEfNXHLZgsx1tYmmGFU+d8Kp5k12hGF3p3wonJjppbCj0WQs3dT2qePuBx+3V1PvimFgMVw2JN8dG7Spyb8TgyXsAID+t6COXiqGwErqRzYPd0IXvBnYG4B9ByZdVWl1ZtJTvVW2vR1cTbk+UOnbwUp4dz6/bGsj2srJOsAaITlBNxclJTj1xQTk5Pevj3d9pgXqqirODDYkUTplPFjSJNMvdfyRHsXBtw8GSEMR5B6hKkAkeKDsjbiVeyPRfXWT1MvtHMB1s7x7uI3O7a/j1s7lFv/y5dW4WxAm0N1rYpSk/TSKcdmmK07O4n8vfgaIcdYxG/+IEmb7+1xfk5xZ/8ZYGlmmKgYvjQnU1uvyam7HvUa30sNko0Wx5hrEnTXKXJ6a1WBt+N+Yk7W9y+p04jbGLJ7MAFrUjigMQpbX7be36meOdbf6x5xY7VGcBFchq8yTdccZnzC/c/XseliKlDlBiSNLtoV67NDmBth8R05NbcJBPFhlLDEqeaObfAbDPhSw8rvvJoBSFFlmmd5E0b10UoBy0VfqdqG7zcM+L0dCO7ikgOZEknsKZLUbqVW7VBnac3tdUTna8GjpN3N9vgdkw3EKiTndKe5ezOdGod47nZIUr/9StlFlo+wnM6Tafe8bTeZKjv4LNaCXQyN501sMLDnbfuk0RTKWp++h11HtpfYSF0iaSmmUpcKboJsSsqt1ihVLTXC4vJjFi2/Zr9XGsg1W1Qt0GeXVfdznDJ3aAd/p3/u2kuNxojcEy64kZNUpXZcxMHR8fs2hhz+ZaEN1xbBUwOWohjl1bo0wqLzC9VWKp7hFG2inUCnoTNU4INWvZlM7ElSBNBGCvi1LBYb2H6Bn7hrvuP7EuT5l92Kvj0xUM4jsugOs+7Xp0yOV9msWpoBln4TJJ08wG/25R1mlrKJUsoY1pRSAMLjs5Gk0TeZncchMxNUUpkTj/V9Y60zUSd5k0uAyq1kmNnyknP921qklOSDui17P49mgzk2nYizBzdo5y0N5a5jOmo7Kl1gqOyp+vGfP5hh8OnC53OatsaqzqzoV0O3uYo3zXjr+d1xWbTdI9CjFNNkjjs2drkbbfU+Pi3fIz2CKRLS4rs85EWJUTPNHxeyTs0Javi7eDSFZvNfPOpe2yrbZ1ctVcWbTsNovbBBWmHh6/ccLZXICdNs1UoVWiVqUJx4uTD4DFKpkBKlGZAj9OEqQXFuakiSzWXJOWSJmHPZj2nVUmaWWibeVLt0QuS4bUX2b7lBaIo7lKURw+sx3M9zpwLOXduimu2L7J1fYGZBZ9qQxNGNg/HzO72XoALQccXUfQT3jE2x/Mnlvn4PQUWm35mYRUuqAzYXu7282XuzZZdQLfb6119my6nbmd85wDvfi1Wgjyv3Cv08Hb1vgTcjrY5oFc+defIjzY9yVKrlqqGr3+7zHzVB99BS4krerJYLqUoPXXg0k5mL1XpDChY0eP8kx3JME40AxXFW1/T5K4nAhYaHpHStNKcHrXHytqVW/Ry/+xoEjD5BtOsGOK2VmJVd6PbHYjOubjqbcTkFCUFo1WncqeqZ+VR7T+TOEZmrzoDutIarRJ0qnBUglIJrhtRbaV87FuKpw95rOnLMmeUFFmkc+5faj/a0mqcGqLIUmsaZpZTyqUWN17W5LKdG9i4sUgUhfw2oGemjtPfN7DpxYPP/uzTz09w8JQmjiJ+4DV1+oopizU3M1PFIk+eyudE8wuocuAUPMPYUMTVuyKu2NbgyRclTx4tgedmPFtKSrk64vXy7Lb8p7rqiLNCHemCXPVSEdk7fCvyUPdL86/boe894ZvaruDdbdWkC+42sHNqorLNpetEnB0XnDjnY3ARUnc6ql33YK+CIlYarXrPpWRlxnZnbMtcstE02bmfSarBanZtjNi6OmDhWAGburSki5fmVTxtV+4uVemYry4NnbZkNKUzD5mdCN2mI8b0fm07v5MyeSVXNtfNZT6p1d14pkrmnVFDavKWf/6qTUqqFEZLrJU4QEHFHJ9UfPKbg5y7WOSaLQmrBlJ8L+tddHLVO3Q4t9LGGbtYqEMsLHfckLJtTHF2dor+VXt/9uqrbnvxyLGT47pahyBOx4Q1b7x8zTSbh/owRtFXWs5POfBptBxaYddQ1Q7iyYI0M+NUyY8ZqLSQMsH3LEVPZD4S5Xakv2KvdbU3j2MFHXm5pv1XAbtbtfPKLbtVW/euCHng5Apwr/i6C2ynYzRKOvxbqZh7nipzct4HR2cnxYke9eQ7dC4vjYv4TjTFdKiKWPFMe0CeGkUcabYMR7z5xibPHimCyQazWyLzwOgVN1g2JNyNKO3VbbKf69gu0I1pbzAl2oBVoqumqDZ1sqgOv7bonK60X9s3QZI7HtOOgSvbT2itcExKqpIe7dySmphWmNIKIbKCmRqkaUrJz6zNSnVHIVPbDfVsRYJ6CPN1SblkOXyyxKFjgunFGlt22DcWnHAscsy49tzMzO/olJGBZZZaVT5zv8+BcyHveV2Ty9Zr6q0i9aZPK3SIYtXZ3QqRLfGum2VrD1bqGFPn8w+6PHO2Ar5LQWWRYaV8XMxVbZPUSnBr2Qvsnqq94oSGLqDlyyq46Py3LwO3yhyM3Sp+Kedum4xyu2gPNXFUQqEY8dRxxV9+u0Qr8KCoO9bY3oOu5CVA7ygZ3wXktlNNL6Ep+ahZry4exZq+iub7bw/41hNNnjnuQskhMBI3zVNsDSgjkAZE2pUJRWeZb3NwC0gMWaXuqjqmM+TdruAqpymZ67AX6Kzg4plRql2582qu8/eg0szQlWZWiU57n8wReOXmBu963RJ/+NUyE9USUSqohAbPaZvKshUoTbMouHosWQ6gGabs2LjMB+6os2nU8pkHisw2fMKEzqCETpMQ5WsWluEvHxkliB0cC88etdz3Yp23v3qe996xwPoRTRiWaATZfJ41dKQbz40pF1sI0eBP74b//LkhanEF39f05RPsWR5eW9vudf5dwrN71BEpsy5kL+fuAFt2Y8y6Ojg9IL8E3CtSZld2KnUuB+pORFouC6oE14mIo5RvPVnkyPlivlFWneyQNv9eSU1erqBcGr7Z3eTZFSeY9XY0O5vNVJEaTRRpLtuQ8KabGxwYLxAmLql0aKXZ76NWVO9sk9lWIOicq2Nz85XBWgmq5896hjBMG9Dtai7b3U7R0clVCkbL7ECx/FomRqKVzZpDRuAomwPd4CiR06G2hUMghKFSTPk376kTphf56F1rOF8t0u9JSk6GGZkPawepYCmEJAlZv6rGv7hjie+72bC0vJrJ2TJvuEYwv5TQV0iot0KSJEKL+p8SBYLVxZA33ZxSb7n0F2OeOB7ykbtL/PHXKnzjmQbvvG2On37rAgW/SBC52c5bZdPljhPSSEL+4h6X3/jUCI20n0LBY8Ahi2dodwtVVwJUPVbWS2W/3iP/eifIe6u47MiDlwC7syq0X00X4B2gfxdwd3h3Tk9UgufGvHROcN8TBZotB0o696Rn6onuANu+bHP58hD5S4W7S2yzPT6RTnZh3jxJTVbFKxXJm24OuevRgANnPFAOoZA0jUCnOcjp5eCdn9RNBrM2T+ttT9XkP7O9obQGLXs7lBIjQZnss+4AXWb8Wyly+dCiVpzyIEiVxUkFiRakOvOxpKlYmXeDoFKEX/lAFZMaPnX3EDP1MkK6FJzsOhugFRuKusrPvn2et7/asnm1phXCFx9KePKQor8I1Ybl20cewS88gzUG/bGv+igpqQeKuUYDqQIqXszcEmweEjhCUAsr/MW9LuuGz/Ajb6rixy5KWqI4ZWLBMDEn+NR9Fb765BAtU6Fc0PQ7UHFMJ83Uybl3W9Ho9Yz0Nm3ageyX8uyXv7abPnRBLrNJISV7wN2OUM4VE51X787BqD0bS616nm3Pt024e1+Bx14qZidWyZyeiPYpZS+nJitVDPFdKErbMtvtIHbb9u1Np1yx2UyNJggcbru8yZtf3eTwOZ8k1VipCIyD2wa4EMi056ZbcVu1rbPdEHureg7VtfkQghTo9kqiwMhuEKoxWTFJVUZhdK9unmagTlU+e9tTzU1qc71drlip2vy/XNT82/c0uWLzRf7ivhJTs0XG54ssRU72Qach73jTPB+4wyEMhzl6RiNVzNrRmJuvqVHyQGPBuh2Or7esEXgOTM5pzl8s0QxhKgFPW/ZusDg6q0d+KeHKLQpXJ0Qm5uBZxUPP+nzqgT5mqkXmFku4RZehoqDi2CzB1OkO+zr6Up92l150AXsJkHuALjvfd9v1qgNu2wG6zu203WzwNkUxeRXPuLbTjlZWaffPelSTTDmJeeGs5IsPlwE3mwEVXXrSPim4t8nznTuYYgXAOkrGilIuulJdh56YHprS7W5aq3j3a1s88GTAc6ddkDGJVDSFzKt4rqakuYqiezWUdvXOwSzzG0v1rCZ5pbbGkiqZTfy0r4UVKJNfrxzoJj+wQClIZTZdmKSi8/mnyqJTQaJMxs1Ne6JIdkJWU6OIU0XRc3jPHS1ef22NxfoSn3qgwEPPFjh6pkA90bx4up979pUpuhUsmWGur5gyui4hTiz1puDkVIGlhpP9/KMTWcepv9jgHbcvI0WRuSWPZpilSkkJJd+yfb3lsvUu8zXBJ+7x+fi9gxwZ7yPBx/U0A/2CsraUtFkJbJVFNGTh7eTnRnYbNO3qLS8FtVwJbC2zWeNO1W43ONSlIM/Tnzp0xawEuU57Npb5plL1UJP8e0cnRGnCI88UOHQqU06QDirfXHabO10PSKeS96jfHbrynTaY9CgomJW+lJf5xHN/ilJEkcOerQG3XZ9V8VaaNdJC4dDsVG/oGlnFCpBb1ebhdIFueyiK7L4qYzD59WifDtdZXXOgpznQlREkMqvoWYWHRHWBrpUgMTab3dXZJjRJ26FHCjfJDGat0KVUiBheG/DhHw553+tafPJen0/cPcLh8RG+gmTH6oSCn+3PrIVmqJmtWQQNrt8ds3WNQ5RY9AsnDLHJDjat1RLGRha59QqDK0vMV12MFRS8hNXDNRpBwJ/cVeS/fXkVc60+/LKmT2cekqJj8FWulOS5I72zkN2NZC+35juCuZd3dyp2XqE7x3KrbnOle95M99iS9tcdkOt26uzKrx2VonJQq5x3KxXj6JiTU4JP3FsmjF0oOiAUrqCzoVshD+Y7yd4Tyv5H/Lv3OL5eX8oKf0qnU9gdhogSh6IX86E7m9z9WJHjkw6oCJtKAqGzvYHpWgYQFpIM5F0dPh/67dAT2wW3zL+XAiNBGpttNvNr0m7qdK5Vu6K3q3iaXbckFXnB6QF5YnuAbXBS0zndw00UkaNxdZa8VW96+F7EZRta/OKHWvSXF/jDrxY5M1ciTgwlNyW1gvkaOE6Lm68MWT0guXqHy9oRmWU5fu4Tf7Tq6m3qP4z447sskiePh5ydjykVG1y+ucq60SZjg8ukLPORryv+61dWU037GahohjwY9Gx2EoKbxQ4XvCzA0nOyGLQsOar9ms1AOu2DSZ3sa61V5tPOIxy6gwmseOpOJ7Lb+XQ68h85x6azqXQd0+HdGZhNRxrUPZp3NsTQfo1wnIhUxHz8G0U+dW8feNkInZQaX7OiWbVyBlT0+NO7HpmVqo+4ZBWicxNL2b1R22fJd06tEO388ywuQljL+lURk/OC5w+5JEKCkBihsEKSDYvle4D2/WW7gxedvWZ7P7BC3WnbBy5JK+uZhO99mt6nEaSdjXKvU7L9z3pCiPIgouzPVKdzm+Q3crvVH0Waoiu5blcANmDfMc3kosNMVVCLQ3Zvq/KWmxbZszXi1IUhDpwsMrjq1WMbt77+QX3s5Nn++fnanYeOJsSpZGmxwpnzkicPJKwenuPHv2eRakvy0XsGOHBmgJAia/qyDWQ738/ttMLbI2LdcbGVjZjvQENkV/prV+f2EYArq3UuS/YCoROf0Fu1Ted73T7GRHaPM9Edvp12KEl3mDar4K6OOT4p+dxDpXyiP4ur0FLgCNujnKzsYF6qnHzHgeNeanJpJb9kENmani5nrqSYVGJUdvGtUbznjhZfeyTg6AUNQkGqiHKqIjrQ7e4BbJvvq7xi59U8q9z5hjKv5lJ2K7qUublKtoeq82tm8tB8JUjb1zLN2veyXdXblLQj92bXJk7aVV3iKEuoZe4LUrltWeO6mjByCGOH/orLj31Pgxsuv8Cf31Oi1lL82Pe0GK0M4OtBFuuSXRstjUadPn/hzkb1dL+eXAhxCLh6e8zMYj/9hexjcbyYGPj5PxhgMexnMSwx4Ek29mXV2m9HoDngdibXL3X40Wmhv4x65P+893Qv1QPwl1U0sRLoHeCrHi1adkHdPavHdHm4SrNjTXrUkl5gZ3kfCYlM+ca+EkdP5txbZJ1LLcDJM8k79KQnk7JXsehJblipG9qV6O41XWV5gm1NvBtI2Q2q7FVWNFHkcNm2gO99dZPTn/OJTAIyxqaKEIWkHV5vO7+M7QD9ksHnFTRFdEEtBSa3R7fBnVEV26Epqcza+LLn2spUdK6tUtkRke3r2vUQtQtR20ohCJXssS8r3EgTuglhlAG9UnK5fmeTK7c0qMYt/vLhEY41h3G1j8WyXDecnWmyZWuLDW4dvWdjStBMmTjfYmwUrtlVREtYP7bES+cjPvHAGqwpsaXfUnYNxTxGuH3Wu26PhbW92PISUPfw69433BuO0wvstirRHk5th9uoTuWAFQdN9S7jHbCb/GvT4eDtXO3e0x8yYPe05VV2QNXpKcV/+2qFIE/PQmqUyDeXndXFvmyDKUTGC1YA/WUMvGPL7n7/nZyFPZJh2tl0StKciysjSVONlyr+xdsbfOWRIqcvtjMZJKnwaCHzkeMe/p/Lgm3HoLZgpO1yb5l9n+a9iLRdTNqgFqy4Pu2q3T5Zun3KtOxZnTtfd0L7e4CuLuHpnSZdD9Adheto/NChFboUmz795SYlpXnyiMvhU7B5OEJJy9pVDaSGs7NFYlVBJyZhuW548pBm1bDk5suX0U6dg+MJv/W5VfiywKpKduJYxqnpBOe0h3l72+WXttB7DxlV3xHQ3YrcW7nlJYDuAr/3PJ7vDHSdH2Uie75WHWC3gd4FuWo/dUItNHz0rj4mZ70ONUFku3V9CSWRIjOh9lIT0auhXOorvoSjdBx9vZu+S/TwTvpqp4r3DETYzIa6diTkx7+vzm9/3KEaaXBiMJJUuLRMnmjQzpNqN3hUV39XVqCszdvzmedDGTrgNjnQpcg3kSb751LkypbIZkK7BSq37rYHry8Bu5Qis/d2DuxtN+xEfv3aUrLNRgyVxXEUrjZ4nkOh5dAMHQYrDj//njq//dlZDp7ux5cud7xKUCymFPpiHCdGHzvvoq3Lm25w6Ssb9p9pcc8zHs8fW4WPw46R7LQx35WdwMquxCdfzqVl+xfv4dSCFRV7xYGt+YfU9lKrtqf6kmrd/rMO2HuA3q7aMq/a8tIqngNcyt7qneK0qYlMUTJGuzFfut/nI18sE6a6Q0+kkJd0LVfy7e9ETXpH1b4bB7+UjK80XF0yBW9f3hhpN388nfCT72xwYtzlz7+eh7WTZXonaFqdsLR2FqzAYNE52Dva+4qikoHYyDbQM7CmpvewXYE0PQFEnTAi8fJXmas67UInBFLKFcUvi3fraeJ1qjs4SqJ1NqPruZpC06XW8Bis+Pz/frjOcyfnuPvpEg+9UMERlh99Z8Jl6wN02U8wccjU4jKPH/V5+vAQJvbYOgCVgsV3VZ4dsrJ1vpJP976J9l3dW6F7hgF6qnbnzwUIeQnAxSWglr0qQq8HxObgXXmMYMbf0y5l6UlmyqhLFj0mVdpp6iwuCb7yUN450/mmLQ+Yz6TBXM24hJZcCvTeLub/6NFruOq10naGeXs7frY789jm4m07bZ+T8vbXNfna4wUW6gpkBCZTwmN0p2PaG/yT5tVa23yPY+lq221qYuhZRbugVd/xmvZ8Lr2AF7m3ux1GKkEJgVhxzEv276wolJ1VvcvZtVJorXC1xXMdZhc9/r/2/jNMkuu60oXfc07Y9OWrvXdAwxKG8CBIACToQKeRRqLMjMxI9+pKMyPvqRlRlO6MpKEM5ShSJEWJHiRIUDAk4b1p2G60Rfvu6vJpw534fpyINNUN0IhG0v3ieaKzKiu7KjNixY599l57rXKxzLmrW2xb2ebRFxd57oAm0in1to11/vqUfQcVdzxdQ8ky560SlHxza8ivosE/KAY/xBIgiyVTLblhac7X6HX8ekDu+ly+3GOmha0GQN4HZKkzj/o8lclTlL5H1QfyXEBSxVgyRskI5cfcdneBx57z0P0KthhnYbt/YcmgudRAM6e/Bv716LL5o+hTuzqtDCf65id7LfzcgydJJTIxJ/2SswNuurjNx26zTYTJVr6phgjV9dXxMHTZ7lR9fqdNswqR7ll8q75zMQBq0btLD55PMXBO+y0Uu89n00c9E998DDITZ+2L/Ob/iz6s9TIDJfPBFgvbcikXKkyUI0bOXqDRdHh2n4f1wksOs3M2527QXLS1QztwaLQsoiSflM4Pfn5a9OBtuW+hlXfPBp1y04EPd9rXcvDnefs7j+pdQItBUMusNixlilS6C+zu65TRCJEyGQB7P8Dzpo5jx+w/rPjIbUVO1m3DChNmF0J0c+/TI3ff9Eze5OnCV7wiqAdeMVAzzMbIch2TPKJ3U5P+aopAJwotJUmsmCjF/MhNTR58zmX/VJZTIXJxKxKpaGfSya6EOM0c1VKBpU0aEote5Fb9qUi+uOwPYH0iPr2Alw5agYt04DjlgO7d7TKwc/rPe5WpM/N5+gNBlAjqbUE7kmxfJ7nuipihWoi1bV3Es3HE3Y8HjI43WT0m2LRakSQe9ZZDO8httvPbZW9xlJ+UXt65ZMGVfy97g6PdFnL3A6S9CNCNBDnoc6DmB3UwFcntu3PgC9kH9O7Pk65ZVe7ElksAS2lUqjpJyl99qsz9T/qG5CJ6u8w6l/IMJyormiwhVy2J6GdIVc7ULOnl4OlAA6Wbk9P3SL4AVehUZ7m44alceWHAT7yrzu/8pUUQS7DjTDUiBYxxQJBKYk2mp2hSFFsIbN1LLa08Yus+YOcLxr60s39Mb2mkPtNahVzGjyUY6U/vxOnJXTd9y3XEtTFdaAWC+Y4gTiNWTnRYsyLkvC1tZppweMHCcqyYsp8ikiK3P2DR0gGbVtX5gevmGR12sESBRtsjCK1sZG2pqtHgG+mfBcwJ/z3if7rkNXT1O7oAJzX5uOiL3DnIRW8RaQB8JsDr7CLRmV5f/ro8XckALk3NW7kJ9z/u8vn7CgShBZ4y6YmwQIiu/p9iMHqfMUU5A7q/TiHl9HSl/yKgZ7HXm5nsLUR1X/lQZ5J5nh9z81Vt7rrf5yuPZ4uh/E2kKUiLVFrEqcysHU0+bGegtoVp8+cAz9VylVgSxfMUpZuK9sA6MPTBIAagj+H4sovztHsMoGekkGRDFlEC7QjmOwJhh4xWmvzAdU02LfeIggqNlk+j5RFLC2vnIc1CPeba81ukeHzsTo87jro8+HwFz2nyG/9xjos2O7TaPkFkdW3gui7EWixJYU4/hb2p8tNf1Etzev6Xsi+tyYUlB/NuA2aRR+YzATuXMevqZ2dRXSYokSBljGXHLDQktz3gs/u4bWbmutFbIoTIWt59Aw19J6i/mXPGdPvl8m/R+6JHWx1ccJLdIU+vqCzdpRHckWbxGYeKLZMJN13Z5rGdDosBZrRcg1G8SiFNIGvpJ0KSCEGkZdaZNRe1LcDOgJ6naN2Lvb8ytkSqrj9iL/movOLhWfLz/rtbbhUea0GQCFqRYDHUXLxtlt/8wXk86VMt+iw2bT52hyAIAm68dp6REQdrZt5mds5i776UdpRQdDQrahaR9tl9wuWrzza55pIZfNcnih3ixCaMstG1jD+g+0pbp0F8SVej27E77cP2G7wyEI1V97HnjSm7gF0SuTMw95yQDcgFOnuNRgpDsIpT+OhtBf4ms90wYcg0SnJz1Tz3Hmjo9H2kARmNJRF94MT1n8ABKuHg80sHIXo/6qUp/ZqAva/NwjPRCqk0P3lzk33HLP7mcyWiBHMLIiOI9H3GfE8RpEKhhXFeDjDpiCXAEUY510R242kv+9cl/dUTlnLQl3zkdMlzqTjtdfkFb3QLBaGGIBa0Yki0cZWQQYsbz5tjojTM/qPDnJyWVEstLju3xfyCZrxmUytbWMM1CakiSQqIpMDV5yp81wjlXJ02WbOmw+fvkRw9kbJueZsrtjco+BbVskMQ2Caia9UbJE37z5noAbr7OJja9LwRs9M4sChNBwCspEk5VD/A+9OQLrB7AO/+TvLnzeuUnXLguM3n7/Fp1i0oZDWpLHpD7yQOpFecDuLe94O54ysUUM549gdYhflwQh65Na8YyXPptFRKklhQKia89Zo2t9/vsu+4BBlDKk0Uzz6feYP9XAMD/FRIA3atiIUgEBIpTanUEoaPk6c0S4edly4I+8uf3XG47Hndd/6XgjvO9jAx0/Mlp0PN6XDpOQ02LO9wdErz+G6fmdkhksjBssB3q2xe7aBocHIGgkRjlYsSHUsu3JSyZrKD72tcS1D0E0rFRW59xOH3/3GCoOkwMhKxcWWLq7Y3ePtVTbauNiWaTsciTlSPyNN9x3kVIDdDEt0a7lJ32x540l4e3p+KiP4cOk9NTF3bthOk6ovcAGKQ9KETQap7vzsIJXc94vK1HS64+XIxP/GiW3zodSz7cLC0grJkWyrV9o3g+7S735JOZ56ymF10ByRyhiB9UTxFogPNdecHXPfqDke+pAi0ylIUYaizcX/Su+TrrP6PbUj4qczu1kIhhMzSFdEF+ECHN/tt+cfR9OrtcZp7g6YkmDIlGUMxv6Tzi0JrTRokeFbAeWsbvP3qRS4/K2bzCsHYsNFD+YN/9Ljl/pCKa5qRjp3y1H7FWK3ANWMeqfKw3vLG8sKeZ6Zvv+Vw8pYDJ0IsCy7ZvsCJhZgv3unzhQeXUXQ9xkoQxoIde2o8+HybLzw4y6//8AybV3bYujKl5g2mI70qS17WMjbOYWRlPvSyW8/tP7m9slJ//p3QM0AyYvRKmjQjiFJ2HxMsdky9fini0qyJsWllQq2sIRFoKXngUZc/+FCJJOkrp+XoJTefzVrx+Y/OhNsej+n0H74CyJdwruguAuH0lUo3UORVlH4w9FdXzIJMptJomziaX/mxBrsPW9z3qIuWArSgVtJs2pCYafV0yV/MOoyLHcXeow5h2+pVlmxFqixiYSitBuy9O52RRU67CE8RGagzjUOtIdKQxGYdkCZ0tcz730cKrp+wfV2HLava/NK7zQKy2a6y2PQ4cETiORH/z81N1kye5EsP+0zNeVy60UzxCKU4MFO5fTZdtWC9770PTiHE7yXJ2FuSuI3nxzyyq8MtD5TZe7DKmpqk6mksZdK3+bbg4KLHzkPD/OqfC0ZKbW66KmBsSJMbty5BGKk21NrXX9pm2QhobDpt26Q2WnXrvb1SYl5FSQzAVYISMY6bIETCzGLKvmOSR3e6LDQVdz/ucmrWRll9KMujgzbR/ppXBbz9ug4Xbo2Yrkv+6pYCB49a4Pcv+fuBPojT/krJQGoiBp8bqJ4s+T8DR+ZM65Xu++7nqJzh9X3t++5r8+/TvsASC9YtT/ipt7V46aBiui551daIm6/rcO2rAgNwLRDd/2PepLLg5Kzg7sdd5psWj+902H/UZWbRJiHvE5hZ0FgoDC2gJ3SUI9yUPDXoGIIIScjK0TY3vLqFb8fdkuhgudnkNOPDCW+8qsNIEcYrBU7MDHFytkK96RoRIqUpFyq85ZIGW1c0ueUBjc0orrCoFjy89u7fCw+/OGWlrpEPcLwYT9XZeyTh8d1VdOhy6XpB2Rc4toVS5mCGUUr7QMT0QsKhUx6HTrrsOARCZRT7bMFCLiKXeZn7VsSXH6xz/eVNbrwkYO1YRCdwDK85j+LdKoruRu7cNgQr4cBRxZ2Putz+gMdLpxx27HdNNSCxzFBhF6TZ3001pDGkMTv2ONz1sMtVrwpYM5lwy30uqZ0l0Lv5RAAAX0RJREFUiC8TaU+r+vWD/gyLx28yMznjlnYjedof0HqpSt+QwpkvliXvIIa3XRWwY7fNmsmEq18VsH1NBGQ5u5akWnUXsCJbs2xbmXD19jZSaHbsVxycVtz+gMddjxY4cMQlVfn0uNWtPJncXfbeVH78g5CNE01uuLTODZd1uPZcjS1NaTOXj+id+yQrDWss2zS44ihhvi55fl+FIDJ685YC1/Y5eqrE+FCbt1/V4IndC+x8yUVYCdKyiZMU68BRhVSSVstift4jjiTLyjbLhhWlgpnEsTOFIVtBpZTw2stOcdeORT53X4V6VCBVZpzLzlhiSvSK+Wl2iwpizRcfL3Pvc3WeeG6W3/mpBZaPpAQdu7fQhIFynu0mNNspdzxsc/vjRZ7f7/L8bp+peSdX0jQH18lyxvzCSvsOrjacDGJ4Yb/N5HjC993Q4UdvavM3ny/2btFpeho2BjIe8UrgfSVYf33Ip2f6Pn251w5eRukr/DaRDQR/+DafR5+xuf6SkLPXR+i2II4t4sQhji0SbZGrzZItxmXmpyRlzHnrEy7cEnPF2XXedW2LFw7Y3PG4zz1PFmi0bHBlxrzsLdCzZSUEEatHmvz6j8/x5ktjfMej3fFox1Z3LQYMlHiV0kgRY8cxcRzw6fss7nzUpyBSyoWkN0hjCTzbply0WDbisXVFyJox3SdMBdaKWgPLglmZUlQ+G5dbVIoJRV/j2ib/TFKTZ7m2ZqTaYevGRWLV5vZHhqlrn4IjMy+dTKsv63CJjMGWpNBJFPVIMV9XfPlRzZUXtvnR13ewLSO0Tg5uoVF2QjtKuf9Jm7+5tcQDO3xOzDnEqQ3CgVImwywUMlv09NdhUyBOU+LENuW/NAUSilXNr/9Yg2suDNi4OkJK+MvPlbLp2qWTCGdY+OVDvEswO1AT/4YgfToml/6t9Iy/RZwZ+N0GWr5+McxKpOCvPlfg9z9Y5ui0gr+DS7eGFJyUWNuEsUsUOUZYKCsE5BE8r1xJmRCEGqUiql7MtefHXHN+h7e9psN9O5p88IslHn7OoxVlZr2iL9DoBIh53SVN3nBRjGeVmJkr0Q4corh35zYUjZwFmimLqZgiAZ0o4b4nXW57wGPb6pixksa1DXgTbdIix4aipygXiqxb3kE6pmUvRYq1esUoSilqlQbN5imGhzQFL8JxEoRIGS5phorGc8exE0ZrdQ6faPPpeypMB0VqrqDqGHEft09AU/V1ttLUuGc1QoHQFiebLrsOWkQRWFJDVqcWUiMdzfP7Lf7gY2Xuf6LA8VmXSNqgjBksyihLWUJiS4w+d67wmv89THOgJQVN4ZAkEY7d5mfe0eRVW0NElLJqKOFX/3ODRAs++MUSWivTl+5LCl8miA7m16cFzn9pkrIE5Hl+nF8EZ7i4eu+lV1rVKXzw80Xe98EyR2YM+erJXR5//pkCP/fOFqlWhKFDJ/SIYguts8V13xpokLtjEcc9QdLJasQ7XhNwxQUB9z3p8ocfq/D8XhdtZ53g7GJ07ZQtaxOqBcX0XJHZhTKtwCZO+i4oSZcFms/KunZMmkoKvuatV3d4bO8Ce6aGWWgLPAuCJKVSDiiWjSFuEGgiUjgRs2zZKvzCMDqJsd76pjdQLpV46pmneO+ff45nXypiWTaW5aFT2L6+yW++e4GVEwIpAw6eCvgfH6ny5cfGGSrYDHuaop3iZzJbXX1BlZHaZS9raIcpqdC84dIGP/3WAKUskkQgpOks1kP41D8X+MfbS9y3o0CibKNYr1yMHrdCCYmnMvtumanTLnUXxlQTigmIQLDQUFxzQYf/dHOLgm2ELKVIWD2S8BPvbPDMLodHXrBPi+JnLN/xSrn2IAK/lUh+pqd6pcKXv+D6o7flah7aafO3nypx+JRr6AdCstiBD30OLtyacPW5ks6CR7PtE0YqKxDkncmcsJZz6XvDIYlWxNJUwiylWFGN+P4b2iwfT/inOwp86q4S80GaTUJJgtjhA58bYqzS5ML1BY5Pl2iHmSRJH6PU6srqaWwrJnKs7kXw2gsXSfRJ3vvRhN0nhkiEw8RQh994+xxnr7HQKbh2hGsnPPycoDBxIWvWvoogqGOluISJR7ngct46H0eU8V2J54DrCEaGfBwVYFkzfOxOxftvGefowhCjRYdRX1NyUnwnNZM++Vym1T931y8NIbnivIg3XQWjlRLtTiayIxNSlfL5e4v81z8eohO5aDdLR5SDkDZSKjwFfgZsJ7Oky+27uxPqGdDBSO1qJMvWB/z4W9ssL3p02hIwlZm0HXH+qoQ3X9viqf0uYWINRPEum+/bFpO/Hr77q8Ff/yLII3b/bilNGMCtd/vsOOQYNS6VDU5bin2LHn/xecFIsUPB9pmrF0iSLEXs49P3ZlkTLKVQKu46H1tW3MdJV6hYctW5Ea8+a4EgFHz89jKxBIQFrsOhuTL/7ydHeeslLstqbldqz+oOhpMpHvRG1MIo6dJCtBZcfU6D7b91kvd/vsHHbh8njX127plkasrBdcB3oOClPLG7w6uGfcolC3CwFpoOibA5dNJjoeFz5fmS4XKK62pKfsLESJPFdodbbnP4w3+cJAjLjJcFQ15CyQXfSfFsgev0fOCtbDii31XYdSTVEqyeBEGNuUVJ0W92V82LdcU/3lE04HYckF4GbmOyWlA9Q1g7d4TIAd5VtBpUpwXB8tGEt1wbccXZJRotgRAmEtlWBKmgUOhww6UdbvlqwOO7HUPASHVXVq1/8qZbg/5uIb5vy5tL5KU00oH8KO/SWnbCo7tt7nykQBxnZ165COlgKYUN3LvD4/+VAW+7vIBn20A+t2oESvsVCGwlUdljopJMX1AaP55MN9HKmk22G/ID1ze59UGfuZZZIwnlUXUlVqzZfSClNZ5QKSpcR2baOZlXUjaDaSwdNV6oCCNFGEuiWFGKbcarNr/9g3U86yR3PTXB5x/2mahFlD2J5wiGK4KJmmbDeEq1AA4plmVJHMc5WSqIO5ctr15/aG6aE4sRSmkcJ8U+HPKlR0s891IZiceqIah6mmKmAe7a5pcbtzKZvdHM0cwW2LbAdQQFN6Va0hS8hDgRxLGpgYMAK+X2xzwe2OGjbRukC8pBKgtPikw4P4vaA3okWYqS25PInh+9YwtcR7FsRFK0RzlyokOp0MH3Alw7zDqAKUGQcN6GkJuubvPCYZ9WYoPMIjh97fE+XH03o3oeqXtA7++g9lN4DTAbHbjtPo8de10jeSBdhHTxLEXFSqk4KVVPETTKvLDfZXJE4GcS2m6f8q5lG1GexBLGBFZJkhzU1tJOdK8ScsX5ITde0uaTd3lo26SpXnbH7QSa2QWIIo3vKVw7M+PNKnW5xJ9rSzqOxo8kQSQzoFsEocVQxeG/vaPBjRef4EuPVLGURck2lZU0UVj2OO1Q3Ok47sl2u4W1Zs1GPvGpzx70fffPwnTF9Q/tmGO+KUk1KMuiE0kWOpKSJRgtJZS9lKILBU/gORLXFrhO7hrcJ+pjZQPKdornaoqeplSIKXoRtsoIUMLkXcdnBR+4pUg7cY3liXJRysJXYsAVohu5+42q8r17kMwB8lxJ0bcoFhSNlmSunpJ71giyQQupiaKEUiHikrNDJssx+6dTwxclE8TM04ZuJ+q7H71frqAyyMNPUZbmyKzgsedc4tCGsg3SwVYG3FVHU3FThospZS+l0dTMKItSUeJHgsiRuLY25zKRJHam9Z1oEkvjaJFZDw7yYPJNihTP0/yXtza578kSR+sp2GY8Lkqg2TGCqFqnhJE2UdxWPexYAjsbancdQceWeIHMXLQVYWg64ZWSw7YVCSvfYBOEAsc2sneHTwhSdyWOFf3ZMzu+dvA1r32X8eiRBCQRTNY6XHdewNRcGUu5TAyn7D7e4eEXEiOq6aeUPEHBE1meLrM3aYBtbjmi62DmWimuYwDuuwlFP6LgRbhOlGmTGPeEOx52eX5fAa0MuKWyKChBKfPLzIXzHbVU1cqoSTkW2UEy0cBzJJ5rUfQVnmNa/nEizAGyLWyZi/3EaG2hY4uKr/GLCUznlFJz0vQrhOrvRhTPSV4v98f7CWUSTaspWOxYZmo303Px8/TOSnFtc/dLdEonTGh2JEIY2rNpqYPTFbaHJAFtn4m9ONhNNdecRkWaszd0uP6yJh/+coEk8WhrSSsSuGGmq5KmRDF4UaY+Zi+xWLd6amiuI+iEkiDMonmsiLVhDj72gsO+QzXGhgSOozlwvM76tQl+SRMEhgJgAVx4/mZKRZ/7H2mza89ezt8smBztUCw0eeRAQpKWqPiCWklQ8iUFT+G5ykzaZ7cYp89z0sns+ZzM3sRzEzw3puDFFLwQzw1x7BDPDWi0Ez5x5xBzTR9cF6Fs/Dwtsfr8fPokmPtVtOyujIXM0hLZjeCuYwRApTQLxlzNNM6ELHVi/GLCQHHBlg4XnROw60iRRGtQfTp+ZNW670Ju8o3dIHoMye7X0oDz8WdtnnzRAdd0F1Um9WzLnpGuwNAuojjNatymnpybUmmtM575mYYr+jjq2TseqL/LlLIX8/2va/KZe0rUA5e2ZbEoJZbUWYUrJU40YZw3EnNJPtmVIrEzmT/XEbQDSTsQBKEgikztvFZuUKnMcN8uh6pjMzEkWLsC1q2dZHRyK1HU6gF8zeoJlLPiLqKv/MG5m9QvF9wTfOZ+i8OzHtMzBdYMS0argmpJUfRVBnBTaXHsJX43uQ+O3TNWdZ0Yz4nx3RDfC/HdDgW/TaID3v+ZIo/sLJLaLsLKrLytPnBbPe9Mp2vk2tMtzDVaHEvgOGZN4Lqquy4weuG9oNedZ+ybTk8SSakEtaJGokm6VL6eaPyZKCED338bUpelxcDTvz+da56XCI3Nh2ahqWg1FZQN9dcSxvJbyh71N+2CLCWKNIESSKG6fATDSDQ8kjQzqOqXsDA3OKvvjfWKmaaS4/DqrR3+n3fM80eftGkHNgvCRQrj0WlosCaCB5njdM9HKdN2tGQ3cHmOpOVK2oGiE8pM1HOI9cvm+ZUfmmJqLuXT91RJp4YYPbL4Bze+fstdO/ce6wHcclfy53/6P1tKyZdOTRfZc0gzO6+wQsGGUcFQSVItW5QLpn3vu+C5ptPpWFn9Mpfhyr7OHRQcO8GxYzwnwnVM1DZ2J23e/xmP939yiMWoCK6HI3s+9W4G6NwVIlestfKUxOpbUFrSSFvYCsdRJirkB87qyUt0QXkGTjVJzrnurShN++nlwX060r8dCfqZ/4ror5p0yVv9rJS02zTp0RYMfVVltib9PLRE54ZOGhWZMq7IhjxIc157HqkzC/DTKkjW4IWXLXaDUON7mp//vhaxnuFPPq0IOjCHS5JKYp0SJimhBU7USzutzMAqF2/Ko7ljm0jedBWtjqIdWrTDIosNh6IfMVJMefMlgoWWRbsx+9Kf/PH/aP3X//Zbfe8QeO3r3oTrejz+2P246lGOzbo0mpKSLyn5ilJRUPKh4Jl82nV010A11wLMZyNzHcCcKOVkbgm+G1D02kQ64M8/6/C/Pz7EbKcEno+tFCXLCOe7VmrMYbtGrZkcsxJdYDtdgGdpkqXMgiWL7t0SVK56tYTo2BsTE+SuNoPUvXwXXzc1SUn7fvkrsLe+3tbHxDuNErCE3NUFd18OPkhdNPz27ufOOWhpbkFizHujJEUlKSrSPX2S7PekyCV5WW4Lnr+RpO8N9iJ4/vdKfsov/scGOhX8+ec0rVaZWdclsCXFRBiTBJW77eUl3rQ7JaSykrBtGUMqz0loeJJG02KxLpmZdykXbOrtDnuPJlxz2RYuueQyOkEHWALwQnEI1yviFWwWWm0WWzarxnxGqhLfSym4CQUvwfcSfDem6Me4dtJVRuq1ifMWr87qzcbnxvdCIODYXMQnv+bxv7rgLphSj8I4sSlOA7e9BNx2JqhvWzKrnqjuQsWsBXoSykqlRuJE9mY9z0ycSpfsvWdhEN9nIkOdcVzvW4P5IKDP+KPT3k3f4+mlnn4WYu5Pr7VxCo6TlDjWxBJkJJBC9mYr8wklkV+0cgnI89TEGmQc960Rij780g/UEWg+9dWIo7MlFkOflmPj2QJfCXO+ZXqa35HW5vO4VmrK0o7GdzUFN8mKHIqRmmDlpKZa7uB6iomxUVrtZvezdwHuew6O6+1bvczZP7OmtH60BmNDbUarBjAlP6JSDCh6AVJFzC5q2pFmtKKplSFOFFGUGYpmHTDbjnHdkCSJOXhKc8fDFp+5Z4jHdpcIdBE8z4DbMu4QngKvC+y+BeUScOdpySC45aCeeG46tVRbZQm4v17a0QvqYgDF6Sv8jm8a2C8zGdStlAxAto8n8w3cKAbAnfbMXY2Bq6mS5N6TQmiE7EXw3m1EGnYmDIC8txYQkC96RRbssh/pVFD0JL/9Iy3eeFnAp++pc+dDZfadKtJoeTRcC0spnEyfkLxyEydUKjGjFU0jkhyZsrCQFD1BrZBSdk2GMNtMmVlMSUSZRlDYb1vuPohOB/jY+DKeevTWO5Ua+nitNvQbDzx3nNJ0gXddEzBaa5DS5rmXUoJE04ngK4+5HDnpcPHZHS7a1uLsVTEbloOyBHFsuoHzzZT7d0p2H7K47T6frz1TItGeqZa4pj5bVJy2qOz61i8Btd2XlgxG8D6xfNWz6ra6GuI6q3v3yEiirybeg1E/Ms4cxdOlL0m/5YTk5f5yb1krXuZnS4K0eIU7kpl97DO60rn8Qp6Hg4r7RJTiBJkJHvV48AKjMpD7uPdF8q7WjepLq9JubM8n/13b4rKzAi7btsjdV7T44v0+ew+6PL6/wEzDJdAWSawQKmHzyg7bV3U4b1vEpWdFHJqyuOtRnyBStGKL5/f7nGq6TJYFr70kwpJNptubGR0Z+/g/3/PInW9/0/WnAxyg3rYpl/wvP/Cc/2ZPlc87d21MnLb40B0JR2d9Htnp02xZ2Jai3bJIIsHOIzEfuiPg/NWzvPGKRa65MOSx5x127PWYrds8+GyB6YZL0HZIPQuhLGTmWV/I3I89iwFw9yxQlro8DLb/rb66ae81WWezqz2dpSqZvISQvc6fzOc/B27vPdQMAPplwv53pGrYn4CfacgiT7fzaD7wJvqphykaMw+pM03CJO3znk8g7ir7amSMWWgKnQG8T2HKDPEZYKcG5OZ1csn77v9GdMuzcaIIIhvbirn63IhLNneYb7R58Lk6cw3Jjj0OT7zgcNWFHd50ecjmFR6pLuDZHtsm4fJNGssKaXQ0j+xqcmTW5s4Hazyz1+firTZXn5c+PTzkfTmJ+9cFSwB+9TWv5wMf+OUHNyznialTnHdkrs3j+yV3PToMqY1rC0oFkyP7NRMtg9hm/6zinudCHtsl2PxlwZEZlxOzPlgOWAqlJHbZ5HaWBEcYQLvSALo/5x4Ac3+Konod0l5DINOmy1v1Vs8LM8/Bu549qrc+6Gmv9PZeKH7lePzy0hgv18L/Jhedr8grf/nbRbee0qVAGpDnA7+5t2XuLR8nPYJaLHuLOilT4mxcUAjVvT30RlLMZL7oLmT74NxVL1DdN5X7bCZKESuLMNK0gxTbShgqJbztygjXjjgx3+TobJ1Ny0Ns5XLo2DCHTw4TRoaj4nsxjmWYjVduS0hFyJDf4MhUxFyzyJN7gifY84UHf/OX3/vyAAfYsHo1QkpIXuS2h1xUWuHqs8zQQLOdkOgUxxJ4rsR3JUVf8v0r6vilaX71r4o8vruGKHq4NYWvRM/Lve8AKAxn3JZprwTY13bvetcvTUmy+ugZI3dftO6CXPVRPjOGnOE5J11yksi0UhDfeiz+erOW38zv6RVL+mmD30ge1N+J6gE8j9qxNkDvpiYaLJ0S60wCOcn1TTLtychEa4EcSFfM3KXMR5yzn2fXQXR6ymckLwRSS2RskV/w+WiiyjySCl7IhRtbHD2l+eUPjOGpKmvHfQqeoOCC75mmYaIF9ZY5PquHAlYONdlxwGXZ6GYz1LxkOw3g573qRpSywpnZRc5adYhVE5qRSkiiUx56xiGObSolRbkgqZZTxodizl4XkKoI17NRRZ9KQVG2UnxlhpUlmSa1zs2MMqWkJb71ObhtlXv9iL6obcBtFpy5+H5fObCvNNi17c6sS/I8vKtZ2Ce9LLMOnAHRQCngZTG1lCd+psj9zeP85f/HN0KByUlPaZcdpgEz+BCl2XS7zsV0UlSWf+dKrYnARO5uFSNnKGLy717xve9d9dIUE7kz8OeAR5GnKTIDXy77Z0bKUiypse2YMHJIU0mj1eCxfUVEZFNfDBitKsoly+CtJIm15uHnQ7SOGS4plo16LJtcyZtueG0YJ/HXB/jw8AiWXfulTRvWbrvnicPXvPSsZtn4AlorZhY9NqywGB8SjFRjRmsBE8NNatUZ/vzzPsenqwwXFSPZEIRjGcNUIcxKPYwFYdIbgcvprZbqpSZOHpVVFrFVLpHbB/K+ionVXVhmacnSFCWXTu769gyqYuVaKmbM7fS8F5YwCvtgl/Y/+TIo79XbB398xkn7M/z5M4065AKmp18iIlNNzgeuE9JUE6WKKKUbya0EEikyoBvfSplZf0uZ19SNhkrvfZrJlXzR2bUKz3P2PJLn7y8LHvmHyVv9USQz6RDzektqHCfGcyO0liwbTvih187xV58t8sJRh2WNiNFKwlBZEUU2G1clXHTWLKkIGS8VSS0Xa3jjPatWrvyluYXFrw9w2xniwfvvqMPQ7g3Ly1c6q6fVk3uLHDnuc8F6i5XjsGqizcRwE9dtMN9s8Vf/KLnrmRGKvsuEr6l4ZgjCcwwwAYIwZaFlZDFE2hPVUX2+N7l1ha16nHIrT1P67AXz9GUg7+7LuXumrxpl5QA3k9q9ppTOuOgax014erfFE887xIns09YewOo3XOv+ljgrZyiXiIHU5OUWxD1JN0vCRWeHnLc54ul9rrE4SzWxVkSZJImtIc5Mo1SWi0uRZqZRBuw9dTET1fsbSb0eZzZuRiYXgewqwRkdSWkCijZuykKYCfkotlhsOgShIsWcO8+x8COLJJFImfKmSxqUi0f52F2jvDRfYLoBk1VTynQdmwu2lNl/qs29z7lsWlFJLtvo7f7a1+6qX3fd9acdVoszbGkqODJV/5mv7fQvDuru+RMli6u2W2xcqVm3YpFKaYFDpzp87X7FP909xOxCiapvsapiwG0YhxIv44srJQgjTWcq4kTdwlEpwkp7+na5g3G+d0Et+haTvUWmM1Ax6SN4dfkw/c5q2dcywcoFhFTSU8gSCdJKODprc2rKyiQMXmEo7QzR/JUXmV8f1GLJzpLHAfnhpQ2m7B+dClIhGB9PWD4c8/QuDZ6J4klqEWrRBbnSKVZixK0GHJrzGnb/3UWY1EJk5UExkL71RXIwPj0i8wSVkChtZCEASyV4TsRMXXFkyiGMzGs8J8X3NMVQEcWSOJEMVSx+6LoGN11ynH+6u8DdT5XZe6LATCOl3oZmu8Dm1RbvuKrB2tXBs4vx3M9EeuiMh/iMAL/iquv5qw9/JnnTFVvTw/vrbFsdUqs0GBtqUA9a3Po1i688MczRKR/Xslg/klK0NcUM3CVfUvQkBV/he4qSLxitBWyP53n/rWUWmh4j0rA8ZH/0llnereTAVJCV1butbhezD9x9i0o7M3u1BsateiZUSmUiQlKj8jRFaeIIDh23qAf5vNs3yuk7HWinlRC/Xidp6Z/Lu639KB+cU3vZCyXVgpKTsnoyRjoJWicgE9CaUCqCLIKrJNP41lnkzjXZk36n5n6N72yd0t16ebbMqywCZJyNJmaPtjb3GyU1BS+kGbT57AMWnUbCaJmMuGfoIGEku47HYWSxUPfw3Jh3Xxty7fYmdz3V4e6nfHafdJlvWew7anPupjKjKy5ObUsnV1xxPWfazghwgNdeexmdoPOJL83t2Rwlu4tffCRGWrDvSI2TU0XGK5I1GwVhmFBvaxxLUPQlJV9QKiiKvkW5KKkUYKSasHZ5h2Xji9z9XMJXHl/GkN+T4M1nN/vBPVjzHozcvWjd53RsZSav3cHVtGvZnTsaWyqP4nkENxIFrQ7c85jHqTnVU7p6GTB3H9PeYy/P7vOAf6WrYQCZfYSpblY0qNDand6hB76Bqk9GHktiwcRwyrWXdvj4V0rUO4kR3RQxsZZ0uiL3KSrpi9paIOO8xCey35+nINBrz/eBPC8RZm/cpJyyu2i1ElOOzGUhSoWIR18MufVBxcpKzLqJhFpZUS5YBJEiiBVhTDbtJXFsm3rToh1Khsoxb720xSWbm+w+1sFRKY89X2F4eLK5ccvFn3Bd/2VDyMsCfOPa5emtX/rS+9ev3fgz996/v/iVR4v4jmLNqOTyrYrxYcWKsYgn9yQsviQpeFAuSCpFRaloUSlIKiXNUDlhtBowUm2SphFxYk5Mv32gGRwW3QrJ0lr36Y2ctLuwzFOSXrqSAz3JonnPMvC0XZqhi2f3W+w6aNOVAOihqnt6u+4L+eKSMy08v9mtT8bnZQGddp/rF4fvv0Ty24DOWJFbV0dsXx/y0LM2RgMwBm0RCmNh0lWETQb1vUnIWu69/Lp3IfVA3uvk9xaWxsJEdHNvS4muWUIeDCxLg0yYakDR1SRJShxntN1swDjNmIyOHXB4OuSpXT4rRhwmRlxWTZS47pwGBa9D2EnZsOGsmRd3vfD+K6+5+WVPw8sCHGBociOt5iKV8hCXn9Wi2VRsX2+zajJl48omO48s8sxBDwePoieplCyqJYtKEaolTa0UM1QOGam1GK7WeXin5qldJYpub2HZrXtbZwC33T/GRF+uDfZSHrrV86Hvj9j9lt39hq+5wwOO5pkDNrsO9xk3ZeDLyUlL5zL7KyNnBPrpnK0zbuIVnjTLgEGQ94Ne9Kcy3c1IJ29dFXPu2oCHnvTAjY2wkZBo7dIREivp09LNI7XosRhFlx2ZN6lOB3n/3yT/PV2zKmkGmBOTU8eJpNm2uGhLwtnrF3nw2RJFRyDQpvGUGJBrbdZAllQMVVLO3TTNU/t9vvZ0jU3LJCdnbYKwzFzbwbY9zj9vDZVK+RWP8SsDfGQ8mJlf/C/CX/ap8dq+4qrNcM6GBpVynZ1HAz7+1SLNhsvK5ZJaxWKobFEtQ7WoqZZiaqWQoUqbsaE6s40Gf3FrhblmgRW1Po97qzdqNgBwu+fLaVv5YEVe79ZYXbD3A7uXolgZH93K98x0Kjd+tawIx43Yd9jijoc9gigTvF4C0pzLkaIHfXXo/byvcXhaSfDlqi9nlF3uT0OWgHyg89r323ud2AyCWuA5KTde3uHOxz32Hxfg5kCUxMKmheyK+oskS0viXuTOKzg9nbCe7bdp1ZvORu9zym4TqD/tDC1FaGnCyKLdsZkc9fiZNy2w83CJI4s1pJAZRybJ1GdT0tSoY7mux5bVJf7j6xb4wK2ax18qsv+ky2xdMjmquOrSkabnJf/FK44H3zLAa25dX3nhhse2rJSL/3zbvuJ8q8WOI3We3it4evcQZcth+2rFxLDNUEVRKxvtwmoxploMqVXajNYa1NuL/PJfF7jv6VGqRUXJ1ni20VJx+6eqs/lOpzsKRx9lNj3Drrt7Dug8YufgtjPKrtkjQ+FVIY4Tsu+k5Df+osJt9xayWa5cV6+H8Fzf2rRNjIFqV8A97UtXznD8zsQ97AIXBqoj3TRFDKYspxvP9jthnCkXl+hY8MarOrSTBX7zzwT7T2L4EdkWYdPItFB6HeYM3PR0JQc/SS+SG3CLJXcq2eOsCEyqojBSFZaFEzrM1YtcfW7IH//0Mf7rBxSHFyroVJv5z0QTJzFxnBLFFnFiE0VDrJpw+aV3LfDEvlM8uadA0feYXrQYW3Xjou2te+zUqcbp7ctvFODLJ8cBd7q5sOudq9edd/effORJe++xKsurNmuHBCvHbcaHFLUKlHyjZ1jyYyrFkEqpw0i1TpQs8tUdkvt2jOG6PsOupuSmeDZ4djaVb2fDy5aZsnZzcNucBm5LpSY9UXoA4F1Ad3cDass20drsIY4VIuyIA6ckv/2XVT79lSKxyu1L+s9p3uo2qWmihfF07xsa6J7f7J9cKOhbScwHc+zB4QHRJYnlj7qnQNUFeY/Bl2iFJRLe9ZoWSSz4nQ9UOXQKYovu6wIcelVtemlK0ktXBjnmPafk3p1MD6RnYiCSZ/bnSpkA1LGxlYdtVbjmnDlef+EUn3tYcHixRKxl1gjUBGFKq5Ow2FTM1y1mF0usmnC5YG2Tmy6a5Zk9IbPpa6OpOd65/azh6U5UecXj+ooAF8IjDnexas2ao0Hc2X/O+he3uGnIRE2xcZXNmmWaiZEmvpOQaIVSmoIbUS11GKnVOTnb5Nf+zuerO8ZQTpHxQkrVSym4Kb4rcF2jnuVkg8Kuq7JJaqNpZ2dycLbd45jYlu6WBK0+cHfTlIzb0HuMsK0I1w5wnYB2kvCFr3h84q4itz3gE1u5Mu0S2V+RCwDJrNVtps67Tmf9J7of090cPYt63wjY++vhYuneN9DblVUb9CSS/ZYtaQbyRCJTzfe/rkm5kPCJu4p88Z4SjTA1LrCkhDi08qmfhG7k7i1c88V0zyG5a3GoIbWy40HaTWHSbgkx73KmSGkZDlB+gaJ5739a5IaLD/OLf7OMA9NVOrFkJE5phxrZMF48rhMxUbOZnrdptKrMziummxaTm8/aXxrZdPT+HYe56oLVr3ho1dc79u/5nZ/jyL4HFsZr4mnPkT+2Z+8UW1a7nL+5QydZIEzqFNwO1aKk7IcMVZrUyoscn2/yOx8p8c+PTuI6BcYLUPM05axW7mfNoHwyw3MUnivwHLLdSBw42e7aeUMnS0nsdBDcWeR27DgblYtwrAjbjvC9Dp4b8sJBwcfvLPBrfz3EM3t8tGO86E0LbklBupsnGPBbObUge8yHeAck42QuUdfnAty1PZd9Ena5+tYgXcF8nw42qLqMyOxz5wvmrpltf9kzTyV6tt8kkq3rYq67IKCTaOYaMD2dfU4piTHa4AM2Ld3HJVDPPXb6SqT9F/XAwcuu0Dyid5/L3puSirPWBKweq7Njj+DEvEsrMYvMRINXjKkOhSgV8NJxiWNZSBmh/XNphNW3Hz6485lly1fxd3/5R996BAcQahNxVEdZpeO10QfuO3/rkavOWX+KU80OH/5nlzQZ59pzFW++qs7k6AI6bXDrA4K/u3OEp/aNUvEdxoqmw1l0U4puT1elC263B263H9h9ETuXFstPttVVItXdhaRtxVn+nYM7pOh3mGuHPL5D8d4P1Xj4+SJa2eBZvUpBLpafZdpdhyQpQCsSIQlSgashkflkTM+/cZBv0peq9M7/GYN2L+9eumgcjOC5q3Muy5A3qJQyoqVKxhm9Ne0NCWuJRkJqeEAVP+F9P9XgrVd1eO+HI57YmTDVgtSFNg4I0TO1pe89ZesMKwUtDTPR0oIkyfVVDK880ZpUp2bP30OXkDVYcdJakCQKnSped8Ei40Mn+dCdLb5w/xiH5302jAiuPsvjqvM7JLLOB7+keeiFCM+v8parz77vvPOvPF5vNqmUSl8Pvl8/ggP87v/4fa667vWzUhXrjbD9fTt2vciTO0uMFWu84RJYt7KN5czz1R0hX3hI8Re3jLLryAhjFYuJkqbmQ8mDsm/AXfAkfqat4nvG1a3gguem+G6K7+psal/jOubRaK1kUbtPiTSPaI5lzKic7pCzAff0YsQff7zA+z46zK4jZbTtg+ODckA6JoKTAgmEMXQS089OUyPhJgS5sHvuy5Tb51nK+Er2orj5WmaRWkphvj5DBLdyeoJMTxOj7I/geS3frDF0d51hFstmbeH6EXYhRjkJUkASKxJtE8fZrm3i2CLVilXjCddd3KZciXlht0W9aW5DScbhNtRm0avLZ//0V5CSzI3QcL0ZSF0G3fPyiN3zGMr54blxbZpabFqtuWxbk7FKk8nRkNm6pN6SHDhaouL6bF0T49jzXHP5OWzZsPYXZqf33T8+sekbge7Xj+D5NjE5ydhw+bG9xxZvmWnN37xm9AjbN7aZWmzz+Yc0cVLikRfK7D8BXrHAqhHFWMFIvRU8ge8IPMcI83hOrl0i8V0jQ+G72qQljsZzjJ6KnXUiczvvAQdkaXjevbJgX8XEDvHdgJlGxP/6hwJ/+/ka9agIvodQDpaUqEyCNtam2UA74IKNLTavCJASnj/o8uz+AqlrAJ4ISaSNBbaW+QBBilZ90TyP1gMLr68/8DDANeky8XrWfPm4XU75zRtUlhXheCHPHpA8f8hHCtiyIuK89SmdhkUn9IwHEmZiJ05sHG2xfLjDf3l7A0ul/OFH4GRDooWkjZ2ZCaQmJ8845qkyYE70oF23ysVPE4iS3LBVdwfRzd1MZcA2KrFxIrJ2fE9YM9aK0Zrkv71zgX1HXO5/LiFJ53nyxRa3P1Fi24oib3/dWi541cZbnOrKx0gW+Ua3bxjg52xZx4t7jh58/dVX/Vw52atkvO/NT+5u8cROH0d5rBi1+dEbFvnCE232HxFMFBOGSill35Cu8iFho1aUpyQ9cOe75yS4rsa1424OKjNFpC5oRL9ERUakUrERZ7ciHCvEdQMefcLiY3dUqcdFKBawlIOvzKicIw3XuaMls4ni4nM7/PaPLXDuhoSUlEPHm3zqax3+6JNDmBKYItIOoQa3Lz3RA1FrSV28/7kM+AMdS/pyXjhz5aTrNKczIfq8pm9KnX/yCZ9Pfq3M4WMeIDlnQ5tf/9FFzl5j02r7xIlCCFAyIbZj4+aQSEpFwQ9d3+bux+rc+qAFShALQSuxuraA/bVwvbT3k1Fzlew14JIk7Vm963xxCmmqsshtwN2JJK0gpR0YDopOBeVCh/ueK3H7A+OMV0usGAu54aIOj+yq8+KRCusOLbv10utu/Ll2/fihQmXLtx/gAFs2reDuBx85tGzt+c/ddsfUm6emDnLteS5rJiPGayFzrQa3Pm4zXoSxCgxVFCVf4doqMxE2BCrHlhmwjc5KIdMu9L0E34lx3RjXMYtFJc2ga5pZhxsnArKT1ifUnlVNHCvCcUIe3Sl530eHONUsgV/AVg4VW1C2jBuFk7X7o9gIUf7oGxOuOMszCyAVs2xrh0qhyb1POjy+2wJlG1ZeJlyT6F4dfGkDaGmjp/dFD+ED/Kq+NVi3Lt0tA2YDGn0gt1SE6wc8sUfxN1+s8eLBMtg+CIupZxImv+jz378P4qhMnIhuiuMkMYmtugy/oULKr7y7wfE5i8f3KJAWkZB0tMRODMgTkSKyVAR600BJ1lK3ZCb1YdNtu5sURg9c2CkKrQVhlC1opQlw7cB0OsuFEhDy1Eua5oJmrGazZsJixVjA5W+cZPt55zy358UHD23eesU3A9lvLAfv3/7Tz/wmbmXj4xU5s27Z8NT2E/NzHD1lc96mBo/s6XDPk8NsmRBMjliMDzmMDlnUyqb1jjCtd8+BgmfAXfQ0xUJslGcLEcVCSKkQUCp0KBfaFP0OnhOilO4ZnaY9Blzegrdt08hx3Q4nFmP+r/81xIPP1cAtYtsuVRuqdkrJ0RRcKLkpZR9GyoKzV9uct97DtRyC0CZOzMkYqyWcs6HDcy8pjp10QFkIqbCFsU6xhHHryHPv/DEX/1d5BaU/B1eiWz1RVh9FuG9Io8evyWkHuieglC2cn3gRfuHPhnh6f5XUK+F5HiNFxVhRUXIK+FaFRHuEscysGvMmVs7fNjnxmuUhW9cGfO1hl4W2AXnaNRRLu/0vgblbtWPBXCCYC1IWImjFkjCRpk/QV0Lt33JuuRCCRAsa7YSFhjEYCzMZbZ0q1k3GHJgK2HXI47oLIyKazDRG2LrxnE9c8uorf2VkiOA9v/v+7yzAP/TXf8J//U9XBVdeuPy2P/vk4WtUnKxevzzhhaMdPvGVCmtqNmsmLZaPOqwYF6xdFjE52ma2Lmi2TYfSd6Ho625jqOxHFAsR5UKHSqHNUKWJYzeIkibINlqEmRSFQxDZaG3I9bJPQSuP3LbV4fP3OvztbUNEsoSyPUq2pOYYSm/BgaKTUvKhUpCMVhUrxhzKBQuRWVbnfo9KwMaVAciE2x/10Nik0up6A1l9ey663wW6WrIvBXgfBz5XAbD6KkaWNVgGdewYx47wnBBNyHs/WuSW+4ZJnTKu4zLqwoivmaxoRkoKJV2EsLI8Oi/Z9TRPctApkbJsJOTFo4Ln97loaUqnljCCPEa0M830HQXtRIBq4bGAL5u4VkgjEswHVmYJmDdXe7QD077PjRAEzU7Ei4dCFpuaOE6zO7ONEDYXb20z30k4Oe2zZsznmlcV7z8VXPGuXbt2Ns7ZfvE3C9dvLkXJt7MuuIHnn9vR+rkfuync+fTHueXeBfYfrbC6ZrF63GJixGbluGbd8iZjQ/N86XHB3U/X2DAhKPoWrm3y7qIfUypElAshRT+gUmrhu00OHA/47H0uX3h0AmW52FKyeijg597u4igXKTUOpvqQ8zSMp2bEbD3lk18p0wl8KLi4ljRpiZ3iO8aRws/0zYu+pFSwcGxBGEmabRvXSfq45DFeYnPN+QHXbm9x55M+2nKItUWs04FSoXnMeBtkX6eir7LQW2yKJfvAcyJrqub5d3fMzqQrnh/x1R2Se58qgPKQtk3ZgrJt7GQKruH3BFFKvSmwsoPUU3TLB03ynN6hVIr4vte2uO3hIifrHqnSxKnqOita0nSUpUipljX/z/fNsnzYkNZsJ+S2x2w+cc8Qe47W6MSOSeGM0KM5P9JojvupkXM7b3OLUDW585ESE3WbTqiJYpsw9lm7bJx3XbnIrsOzPPfSGt686e3haiFaZ51947cC1W8N4ABD4+vRWj/y0vTGdHm1caWjHXfDSlP6G6slbFhZR6gZ/vmplH+8c5TlJZnl3wI/k4Er+THlQki52Ga43KRQqPPITs0vfmCUZw8MUyy6DHkw7GtEqcKuAzbLx8z/kTLF1kYDQ2QnS4qYLz3ocu9TJVLHxZaKkkop2JneoZVRBByBb5s6vOuY95WmECXZ6j4yQuuOZRFGDiOViI0rOnxlR4TWmig185s67YF8gGzVN+GTby/b0Ozyuwe53r2B6Lz+bbxxEp2w96jF9KKxeHGVNHqOmfSGrUz6liQpndAs5GyVYkllLpZ8AFtZWLGNFScEnYirz2/yxsubfOSfi8Q6ISGrvmTlUN9OKfmC5aM2IlmJa3WoFNuUCy3+2zvq3HTxCX75Ax3ueWGUIPFJ0kwNSxjpPMcya604UUg83v3aOome45GdZXYf80gSaHcsTkxbbFw5xGJT8ENveVX7rG2rHx3QXvkmt2/5fy4fr7BysvZrKm3fvGL5upkLtrQJdZOCZ8B9qjHHez7m8Te3jDPmOywftaiWJOWCplxIKBdiyoWActEQshbadT5wq+JXPjjJriPjLB912DCk2TASs2EiZeWoot5SNNvG8z7RJqfsetrLhDhN+OidRQLpIJSNp4zAY6694lp0hdVzYlducgu5GI4gTkyNNtYWYWgxVJJcfUnA5FAEUULc1RvJtbP7mj5ZtB6kYPVzOvqB3d857DV4ug2XAb9KjeMkTM+l3P2oy2zdBdsIKDkyk83IBpLSrIQZGQdtOqGpXHRF5COLMLYII4sosohjGyu1ePf1LWwZQRpnLXjzjpUwaVTRExQ8xeETPvuPlDl8ssKxUzWOnhxl/WSJ3/3PdX725qOMlBc4sQgzHcliW9Bop9keM99IOTLlMr8wwk+/UfGbPzxNdbjBvpMJnTDBc+d55PkW4+OrO2s2vuZPZhf8Xxey9i0D/FuO4Pl21tZzQkvM/u3sqdlfeWrPnHP22hYzrXn+5os+Bw+XWTcmWT1uGIejQ4LhSkStHFItBVRKbcaH68w16vzeP/j8010TWG6J5UMw6muqhZRaUVIrK0oFC9taUprLqw2Z5fdzBxT7T7ik0sFS1qAM84C0RG9C38ry5rzbZuq9mVhNBnSEwnU0ihgSIzgaa9nVHMlVajVLfH2+Hi+8nyVIP12234w111U0UTwRKWFggbaMoFKWI+ezGt3PkcsjR4LIhjAy9FU7ynL7SBEpRZxYRLFNFNusneywfX2bx/YX0VqbC5heXV4IiGLNYgu8BYsUlziRRIkJOhuXK/7njy1y9tpj/M+PaE7MDxluStYhNr8jQkkbnfrEeoxNy+b5iTe2+JtbYbZR5qKzBaEcDi134g+fe/rR37vh9W/QXx+F30GAd8Kjoe2W3yedleFFZwe/+8S+OXlsqkzcLnHB2pTRmmJixGJiCEZrIbVyQKUUUC60Ga0Znvh7Plzk0/dP4hcLTBRhpKCp+CmVoqBalFSKFkVf4jm9pk+el+bND8uJueNxh9lZF5SNIwW+0sYodkBEqE9nJVvwyRwg5JM7fY4GWpLEiiFfUynHMBcbEXdkF9wDQxFL6+Avj+2snDw4sdPf0OpqKfbZXC/UBfNt2yiGCdmnyNoDt2mH54MEECVGriGyUiJbEkWKyEoycMfZo8XoEFx/cYvHX4zRjrmIjVhQJvuWpIRRSqutWbAVQlrmwtaiq3cSRop3XLWAJY/xOx9OOTE/RKIVYaKJ4pQwis1jaBGEHgv1UWrlkO+/tsXBE/M8f2hcn7995e+ee5b3R1MzM+G/FJ//YoDf/JYfYdezn29Xt2y65fHniu+5b8fjvGoTiHVNjk+XGBuyWTkRs3K8zfhQE98LkDKmUmoxu9jiPR8p8an7l1FwCkyWNEO+plow429mtygVFAU/xXPSboczr32b0bMYIRMaHR+dOpmnpvHRtLsiQHk5Lgd2L3rLPlfmfOuK4yMJQsVFWzpcvD3g+cOGcxGnPb2/dEmK0t/RPJNLBH3f9TjfOR22f8q9J0ykpImCjz5v8eiLDjiybxCij8WeMf2STEHWjIOJLtDjON/NgG9+l0oSGweLkpuAjtA6JtCKSBv9lCiBMIJOqGl1EixLIqXs0Xm6ZgJm8v6tl8+j0xO858MpR+eGWIwUTiOlMp8y2UhodTRR4hBEisdelJD6nLVWsWHruWnqrL5lx/5O+0feefO/FJ7/coAD+OVVFIaqezauq/7MT/+g/sBXH3hQHjnhsWm5YtPqgE2rZpmuN3nxeMz4UMA5ayNOziW85+9LfPK+HNwpwwVNtSAoF0TmJmHmO0sFKHlp1gjSxjWib1LHdyP2HBTc+UiBjrCxlDRlvH4pCil6eit59O4y+9K+KLh0gMDMFtaKKdVCAhitkZ6QZV4pSc+YlpwO6kEONt2v81Ql54LrLrh7yrjauBi0FJTEQBUmB3f+XvIIbqK46II7igVRIjNQJ731RsYLueHSkI/c2WbX0SKRZdNOBIVYGHBbKU5gSpdKCaSwIHN/0Ge4e73tigWkOMFvfyjl0FyBc9e2Ga/CYtNlx0Gfdhgihc3mlRGHZiJC7wq9fe22n1m+ftWe2amZbwc0vz0AX7P2QtLOrrBy1qs/+OQz+wtSrP3jjctOsW1dyMqJk3zmIcGdT5RZXChwzbkJv/buo9z5ZMQtD43j2QUmiik1P6FSYBDcBYuSL7KaeSbA7xq/H9eJcOwoG2qIODknmZp2IGtSOH2CQirTWlHdpoypR1uqr4ad5bo9kPdDM7sFJxmKMkm0JM3z9v4OZiZTl7+0D3iDaGagcnI6Dzzb5SDgZW5/0KWfpgN/Y8DBQWuSRBq2Xx7B810L4iQ345Ik2jRcxkc0k0MBuw6FRNqhGdt4UmQEN7CDTONRJpnCRgbyvs/WK2+mvOGSBe57pskt95d497Ulrjm/yVxzltsf97njoRKJhjCSnLNtNWtWef994qKLP/jSI3uT11yx/V8PwAGEt5WTU1PJG15/876pow/Un3rstnKiZ/jCAw4vHChjx7B10uGC9fDCwRKfuU+hKDFZTKl6mnLWeKkUFeWiSUuMBEVKuWAAXvJjCn5IwQ/w3RDXCXDsgFTH/N2Xyhyr22ArlBB9rmL5Y3/jRXYbLiq3OMkVmfqNVgfCo2HNZSSLrixxV474DAvL7rTPmY5X/z4w2NBHKusrFZqcXGeg6r25/kWtznJvrbPHJCOTZVE8yapESRbNk0RkirPGjCuOFWMVyY++scXdzwaksU1LqIwxKY1YZndtkGRrFki1hdaGmisAJR0sZY7jSEXw5isCXjyY8MyLNVYM+4wMO1ywVuHKmCd2dYjkEJNrL69fddWl+xozp5LXXPGNMQW/qwAHKJd8Xtw/e+vo8KX/14Zt/Mk/feGO4eZih1efFXDPDtiy2md8pMH9z0sW5ytsXw7t0FBhi66g7CsqRYtKSVEqYNr4Wbez5EcUfdPCr5baFP02jtPBkiFCJkzXFTqRCFd2GXGq62EvBvJvIzLUR3Ptpin9ThBL5xJhvJbguwntzOo7SWW3Fj6Qf/cD/RWjAgPlwryCMlD/7j5q2h2Yms+bz72KTT8/vasgm4G7l4tnuXcWwXNgJ13HObOgVkIwUsmkJsKAJBYsRC5JorJpHd23XklMqqZTEq1IUUgBjm1R9GOaHcX0/AgjxTaXndPhmV0dXnzJZ7sDD78gWDfu847X2Kzb/NrZ11138c+j52/thNVvJyS/vQAvFMwIf70+/9HxCy63TsyIP1g4edfYc/ubDBWrnLsp4Ik9Tb5wX5nz1/psWN3mvucjWnWXomec3IarimrJgLtnIBtTyuY8h8oNIt3k2FyItGLGyjFDJc1wWSMzzyRLpIOc7T6+ttXfLrd6HGzVp0Kbl+a60sqYbvfbXxNwyz0xTx3QYKfEMCAoPzAAkc8wDnQy+zqXoj+K99XA+6J5Lwc3tODnD0k+f7fby+/TlKRP2D7naSd9i8wkJ0AluSdPf3qSAz3TVBHmLjVXV6A1Q6UWY+UmUtlMtUtMNYs9kGdvIkk0YZQShpo4SREoPNdiVMOJuTb3P+WyacUY77jyFJaY4+l9kpUTJarVJvtnRvmpG649tWHrFb9cb0QfrZRXflvB/W0HeL6VyzVSXf/Qm2+6Qv79Px79/SPHg7EbLo4pl6Z5Zo/P5mVFrn1Vil9s8MBOC98V1MoWIzXF+LBmYiii6CUEsUAKTcGLKBXMEPNiq8GffNbn6b3DpET85Btnefcb2rz96g5feSLiZDvtViZkVpHIU5N8YWllnj9Wllf2Dxp0QS7yPYerGciwZD6raSopyZJKiu5lMb25TAZTlYGp+iWOE926t0wH2vVSamINnaBbLzFqsSnE/cL2urewTOKU2OqJ6xhg96UpGTszTQ1fRcqUmUX43L1FiF1uvGKRn7ypSZpa7Ni3wJ98eoypes2UJ7NA0IkgnIeCmzAWmuPgOYrxIQudal482uHIyQIFd5gLNszw+M46X3m8ymsvLrDi0k2nxlZe+asLi8mHlk/WvhNQ/NY7mV9vE7LM//nrr35wsTH0S29/3djs+MhJ7njEpeoNcf0lsGJinq89DdOzPpNDNuPDFivGEjasaOAXZji52CCMTFR27YhaqUW93eB//GOFD/7zSnbum2TPS+McnRqlvjjENeelXHNhE8fYuHZLbbmwZw7wrmrtkgjeE+ns0zGUad8t2SwyU51i1KJ0V45YpyID+pI5xe7gw+m5yuk5OKfVvXMNxa5YvzI0U3OLMAvdWAti3feY9NzToiSP3jpzU2MgVckbWmmXgqy5+0mHrz1ZQxSrTAyV2bx8mG0rR/iR10l+7QdOUSvNM92CTmQuZMeG2kjIYhKy/6TmxEzEyVnNiWmXsUqJqy7scHiuyZ2PSeYXRrnhYsnx+XkOnFo+u3V17Zf0wl0fXD5Z/gYQ9a1t35EInm8//1Nv4vjeD36k2R4J73lk819GYb183UWalcvm+MJDCY89W2LtmM3qSYsV45qNqxoE8Swf+IJFp13itec5bFsX43sxsW7xno+VuOWBSVZXbVYNaVZPeKwYnuTI1Dxrlk+xbVXIlzJpsVyaOU9PrG7lRGaa4rlw56D8hJWNweWTM7nlCWSDxbbGlAqNz32UimySJR/JMiW6/CaeT6SfCeH9zZ3BXfd1L3OejSaJTNTNV3dpmhKkgjA1uuv5ZE2kU+w+oMd9EmkmB8+iftKXngACzYuHbVrtMqvGHE4eG+VL9yvWLEtYPurz1itmEGqKX/+wSz0sMF7RrF9ucfVFHdrJPB+4pca+474ZxrAdfL/K5dsSgnCRLz2QEj7pc/6mIm95zWh9oTP+s3/7+fo//d6v/vB3EoLfWYADfOHeom4G7icmqsX4Xa8/+vdp9Kx3+5OCx5+vsnmZw/oVFmuWwfoVTcJkhj/+nM2L+2uct8Yl0QopQsqFDg/sTLntkXHGCxarhjXLhxWrJhwsqag3PYLAJQwj0i6DrQfs7sKy685G1wnZWaKtYts9brllxV2R/DiGFRMJr311m+f3FWjGManShNoizvVTdF9FRS8pDy5JUbqqVX25d7eSkw04dMfTrIRmpLnr4QJHTlhgZXcRHRMmNi0psIURvLRiI4cXKSORHMVptmtTA8+jd3IGgIsU5Shsx2bUT0kiycHjLpYyqZaSmtdfNM2XHp3nwWf8bOhBEnXKXLAp4OfeOc0ff2qU/Sd8pIggtQmjEV69ZZFO0OK2BzWj45s7N25f9uPnbS1/5sR0oH/vO4y/71iKkm8/9Z++n7de1Un+43+Y/Ix2R3/ogb1bO/tfKnPlWR4XbbPYuCpl3fIWldIs7/uk4rm9NbYus1i/TDFSTamWAmy7wafur+EKj2WVlJGSydkLnrF9NvN+xi4jnzKxRNqtgecNntxvs2cyayo4xm48H1iOcK04q7FHKGVAnqYCV8IPX99i45oOJCFpEhNqCLXIOpu9xeZpo2xLQA59VZN+H89+RwrLSEPYKmLPIclH7ygQ6txTXnc7js04pRELgkgYF41YEMYQxYMAN6pRdIEeJZI4zhebsjsobJweTKmx1UmYXZTMzDtMzRWJowrvvKJDpNvMtQRz9YR9Ry12Hxzh3DUFfuEHppgJYl46GbP/aMhjL8CDOyqsHS3w8z+0vLN1c+2H7n5i5Wf+4cvt5OIrvu87Db/vfAQH2LD9B3jvX/1D8mt3hJ/9u7dv+4nhYvWjSXsXyrKolRPWTM7x4Itt9h1ezuZxxZpJi8lRybLRDrXyAn/6BZfHXhhiWRlGylAtKcpFRdEHx8m9dxKENCM2/V3MLrgzldqueL6dYtsa286n982YnOuaeU7f7WBbIVImXW/7MLDZuDLmzVc0eOmww0JikyibjpYUs4VevsBcWjrsR3V/3i378m+Zm2XJFJVpKNp2SDOJ+eKDJfYeKRhiDRJ0bKJ4EpMolzpOJj7fK3vaKiXKxvLiLtCNlUyUt+yzrmYcKyPlkJjUJ0mE4Z10EhYbCt9VuI6H71a4ZEvI/33zDP9wh82JWYtKMaHgObjOCFuWJ5y1fp5Hnh2l6IU4TocDJwSTy9a2Vk5M/uhrrm9/9vkdu9PtF/zkdwN63x2AA/zaT/0gs4tB6nnOS/v379nzD59aGIo7J0aPzzSZGAm588kqkyWbtZMWy8cslo9FrJlc4MRii9sfHaMsLCZrKUMlY0pUKkgKXoLrmMirVAxSIqQykyhqCbnKzoae7dRor1gZsO0Yx45x7RjXCfGdgKLfYnYx4MRcSsHTrB4D23IIYwcrTfjv39ehEy7wZ59z6CQeoXaJsipGklFVe+17MUC86mqhwED1RIm8VKmzweIEx4ohjfjrWwr84T8No+2CmXNLYop2m9UTHXwPjs74TC1UWMTLmjKpoSZEGQcnTrHjFCtKsC1pInxEFumzyfbEMAvRmjRN6CQ2QaxpB5pmW7PQUDi2ha0K+G6VN1w0yx2P19k3PUTFj42+pO1R9Ie57rw59h9uc8HWANvy2bpxYsH1J3/61PSOT33+lsu4+W3f/92C3Tc/svYv2X7zt/8HrsPhybFNf/rDP/JTJ7dvGrq6VW8VphdCXjrssX7CY9Nqy0wDLauz0Jnljz5T5sSJCuvGBONDiqGqTa2sqBahWkqolUJGay1aYYOP3FHi0KkKIz5U/JSSZ2wOC56F70kKrshmQQ2vpeDFFHxjYVfwQopem2q5ybHZgF/4iyq//MFxPnd/mcmhhLPXWDTbBaLYwnPg1ee0uGeHxZETDqnlYMlsxKvPLa7fc8hechfJ1bocO8Vx8rtIgmvHeE6E64QUCy2eeBF+9o/GWIyqKK+IZTnoRPD9187x178wx8++rcnmVW2efB5m5m0iZWFlLEPT1U+70++yOy8qu6VSczczaga+GxHqDl951ieKPaqOEUi1LIC8IaRItMXEUMqGFQ2eeUkyu+hgCU0nkISxQ6WY0GxpJscm2bTlwpntG9f+/PLxyj8stoq85ebv7KJy6fZdi+AAJU9Adsd+zbXXfkRIyxobffB9d93zpbFaIWbZuFFoWj0R47oL/OXnHZ54ocY5KyQrxhSjQxaVosJ3yYSBTAQv+CHPH0zZsatMQQl8W/cJeJrBBqN5aHRXXCfB6+4GUL7boVpq8tKpkN/54DBffHgC23NZbKXc+7TP5dtC0lThOSFpKin6mh97fZ0nXyzRSXxC7RDptFtRyZsu/d3N/mZP/8JS9U3a5AxJ24qIkogP/nOFelTGdn2qrqRkQVqwePW2IgXbotGMufGiJsmPz/Lbfwe7T46yIDwcITIZuEyDPTQl0SA0C+ogVHRCQRAKglARhBZhZPOqLSkbl7d5dl+FTgxBnNIJNErGxLEiCCVx7CJFjUu3hPzwjfP8+WccDp9ymBxpcmxakGiPszc6XHDBa0/d8NpLfwXijwgx8l0F9vcE4P3bprVVFurNvxsfukKcnBe/b9t3jT21a5qNkxaJjtlzPOWZvWXWjyjWTSpWTdqsGk8peAGzdRshzBS6a8c4VoevPe1Qj11GffBtjICnI3Fdo8viZ8pZnmuEhTw3wXNjPDfEcwMqxRYHToT81gdr3PrIJMWiz0QhZbycUpbDPL1bMDnSoVZuIQQ4dsy1Fza4aGuD+54rEdo2YRfcwpQK+zuc/R8+r55kFtq5vWG+uLRUjO8HPPyC5O4nKiSywLAjmfA1wwXNRE0RtibY9VLISLVJLXK46bJ5lDXDb3xQ8eKJUWxpmzRF0h0aNkPOuRqYwAkkHcfQgduBRbvjUi07XHd+kyd2x3QiRZIYHfBmW3P0lMZ3JY2WItYeBW+EC9afZO3KDoszDkPVlOWjdU4uLONtN1x/6qxzLv/VJE7/zrK/N+D+ngIcoFoukurOB1//2lfHWok/Jr1/SCYnef6A4Mn9HkHT5/zNivUrLbaubZHS4NFdAh0NsXzUKJZ6bkSYBDy0q0aibcpuPlws8F0j6um7oqu/YjRYYnwnwncjPDek5Lcp+C0+cqfPbQ+PYnkeY37KWDFhoiaxLcWpOYXn6K7Ap+u4TAy1+fE3NXl6f4dm5BFYKsvF027JcClHfCB6i7SvXp92y4KuHdNoJ/ztl4ocmyng+BYVJ6XsptSKgpGqIghtTs7KrrGtbcfceMkCLx6e4zf+1qNhV3GkxFa6y5Y0jxopBZZlfJVcR+B3JG3PotVxqFVcLtnSxLE6NKNSJqgvWT6ekohZHt3pMXfQI0ocXNvnkrMr3HRxi6d3RSw0HUaGN/Kumy+dG1122S/OL6q/Hx3x/4Uo+TcMcAAhPU7NJR+9/MJLZsedExum5lb+4eGX7rHDlsN56yTLxxSv2lrn0HSdh18IeHR3hc2jmvEhsC3NaK3NAzsFB0+WqLmCkqPxXDJxT0XRkxS9lIKXZpTb2ADcizNwdygVmnzmXsWn7hkmUAUmXEHFTSh64Lsmj44T6ISKIFRE2Swjqc35W9oMVzosnkrMgEAiusJAiU57Ivl9CO9WUCQ9DozquVG4dsyxWc3Tuzwi4VC0wLdMzu46hgkZJ4JWR9Fs2/iug9f28OyQd17d5Kk903zmfosFUcKRoksJ7vlfJt3OrpMNXxcCRbNj02z7rBlrc9VZizz8TJFw2OTt65cL1q1uMTLS4sFnqjy5B2oll2f3VvAExDrmkosvi+ot75dWr798X7HgfkkI93sNr+89wAHGhpTeu2fPreu23uwMzTzd8l35F/uPPyPmFiK5cWXIvqkmX3msxCVbXQ6dcjLJN81orcOx2TYfurPG/EKB1RWjPV7IwF3wpaHbFjWVYkzRjyi4ccYpDyl4HQpek88/AL/5t8PsP1nGL1iZ8lXmuqxMXThNM4ZexqHO+dNpIkiiGHREoG06iaDQ7RTmthw9JwjIwZ0JF8m0K7JpK6OvqFSE4xhd7bzsqUTGXc8ujkSbenauABBGNq3AYdVEwO/9xCIaxS0PWSwoP9NwySUt0sz5LMGSOcAFzY6i0LGpNz3Gh33efUOL/ScaTC2WWBOkdALFiekSuw94vP6ihDuebLL3mMWK8QBNSV931SXpuvVb/++Lzznrw4ePnwjXr1//vYYV8F1o9Hyj28ZNm5iZORQqd9lHR0Y3nbVy1dm/9bpXjzAxOsUt91tUvQIFT2CnsGxEsXIioB3Ved8/FXnw6RFGC4Kiq7PURFLI/DnLBU2tFDFc6TBU7lD0Q1wnwnUjfK/N7Y9rfuNvR9l9fBgc19SS89Kd7A1I5ASp/mCsNYyUUy49yzR+4iShnQjCrB2+dLGZezsNUAnynNjuaSvaVsQjOy2m66pPY7t3rPI6ez/11Twn6QQOayccfv8nFnjjpVO0wohGLGhHgkYgmGsI5hqw2NLUWzHNdkyjA62OpJ1F8YVGmSvOdvjF75/BLnQ4PJ1yYkagtUuzndJsFLj5ijYHTi1ybGGSrZvP+q0tG9aftXn9xEdPTB/5VwNu+FcEcIBztm9jy6Z17X0HZ3bPtm963/IVq3+3xblJ2a2xdU3Ii4c1Vd/l/M0hG1ZMs+t4xM6Xamwdt6n45pbvOgLfM9G7XEiplWJGax0mRxaYGJ3Fc0PSVOCohGYQ8sWHKxw4OY5fLuKLlEQnRH36h7IrZN+/Z4KgUrNsNOa6CwOIQnQU0Iw1zVgS5lwQndfFe4JmuVGT1ZWBzsuDRhVXuRFffdLmxLSANCFawvk2fJf8wjHeOkpqbBWhtWBmrsrKkRJveXWLEb9JGJvP0oxSDi0kHF6AU4sG5I1WQqud0mpLOoFhF9abFvsOT3LWygIbVjbYPRXx1N6Yet1l4+qI5w5o4qAcXH/Z2umNGzb+7rU3vvp9SXtq9+joqvaqVZu/1zAa2L6rdfBvdPv0p/6J3/7FC9PX3fgjd//v//NP7lhFXeLbx6yHn5VceY6mWGzQimK+9oRH0Kjy5sth/0xIFEomhxTDVYehsmCokjAxEjAxMsdXn2nz6C5FFFRxLItqqcWju2P+6DPLmSx7XLhW85Yr5hkZanDguEfVFdkInRmdKxegUogpF2NKhYBqsY1lNXn+mObzX3OZm0spewmtwCJObVwljA6LlWZaLBLPVbiOxPeMslfJM2lTKRM/8twmC+0Oc4EmCOHIEcVswyYRLiVbUMjcL7rrC19Q8jXVUki11OBrT4fc/ngNHQ8hhce2NW2e2ic5OlNkRQU2rRBcc+Eso6Ntnj/o40qJ75DNqZpq08Rwm2ZnkS/cO8LKURfHDTk+p7AdmJ2XXLRFcHyxxuqV2756an7+ks0b1t6768WZ+Pob3v69hs0Zt38VOfiZttfd+IMcn1pkciz99Ynrr5VHj0xedujYnbLD/GV3PxFb520WFCzJhZtstqxZpPJCQCcpMlKzGR8W+K6peY/WWiwGTT55zwiN2So3XeJQLXaYq0s++bUSUrtsGEu5cJ3NO69y2XGwzkNPR0SJMWmS2WCynQnwO5apwOi0w4e+bPNnt4xw8bYOt//pDEenbf70syH//OQyFkOHsmuieF4yzF1/jVpUimWbAWrfC3HtFnc/pfmTz45xdFrynh+Z5R/+5yzv/2zCP37VoR561KJe293QAsydRlmaVATc9niJZ3eOI6+2cFTIWetbvPPaNnsOx5Q9m7NXO7zh8hpzrSmeeLHBycUKo2UzJX9qDhxb0WhbNALYdSRk/EUPZRfYMJKydXVEiB/Ptycf+sF3vV5vWLv+ieuhMzZa+15D5RW3f7UAB1g23nXQ+tXf+tNbiNzzy1Wn9dcXnHPo+57bc1imYcL2TTEvTYUEHZsVYzabV2ssJ2RmzmViOMW223zqHo/52QJnrxCUCqI737jQcqm6gtGqoFiwODXvc/Zazca1IfUp1whw5gQtOzUNIjeiXGxzx+Oa9/z9MtKkzGh5gVrRZnIo4bd+eJGXplx2Hh1n2JOG5JRrZWcCEnl6YluGA1MutNl7POI3PzzGniMjFO2Ek9MOo6Umv/3DDU4uzvDlh5cz4hvNwTDjlMSJSVmUSNl1SLBrv894NaXRSpmac1jTLlItdEjTBJ1aNNopew4X2bauxJsvbfGprxaItE25ADP1Dq1DLqNVn8kJnzXLm+x6yeKsdTYXnQVCrdWvv2b80+tX2z+52Hi+Xhu98HsNj29o+1cN8P7td3/2ZhZnX6qXy97PPv38sb2nGo9tl3r+5rnGbqabmrGyy7nrFetWLPCVp2Naiw7nrE84tah5Zq9P2VGMVs2sp+cmhEmMpkjVNyKcvmty68kRzUhV0zxF1s42rm9GTzGiXAhYbLb56J0lBBU2Tgp0a4R7nxxhw4oGa5dP8eZXL7Lv02UaQYGan3vY0B3KlcJUThzLRG9km1sfLrD3+AibJxUbJywsMcnuQ03WrTjFj12/yMPPVZnplKn6KUGQEkaaMFLEsaG7zsxLTs5IastS2kFKo61YbLqgFbYd0w4dGi3NqTmb1ZNFzl3f4a4nQtqhw6oJSW2ozb1PaMqFAo5TYrTS4GTQYM3adaxeXr1laOKy59rWqv/z/NF2/Zyz1nyv4fANb/9mAA5QGV4LMH3/U/t+87U3vmXN3IkDdBbHbp558jm2r21QLcFcK+TAEZ8L1gmE1Ow7KlhctFk2ZEbiqsUEz4l44kXJ3oMOG0YwlioOlP2Y+5+2eX6PzYiddlv8vptS9BKKfsRwtcne4xHP7a8xVJSMl42Q5alZi1opoVYu844rp7nj0UV2HvUZzdIKnS0yzV0hi952QtHr8OIRzafuHWK4YDFRShiv2kSxw8y8ploqcc7aJqOVOrsPF1n0BZUgpR1oggjCzA7k3E0Jl5wfcORgiSBKaQcw33A4a03K+VsCdr1YoN5KmJ63OHaqwPDQIltWdJiaKnB82ua8LRZPVDQz9YDHXtBsWD3C9rO3c9nFG29Zu375z0PnoBDj32sIfNPbv6oqyje6XXnBBi7a6B+88TXn/uL6DRe+4/rr33lvefJVNAKXL9ynGSm5WHaLo6dSnnupQBz5bF1jsXaZplQwZblTC5Jmy6bsm2aO56QUvJipeUmjofDsvCIjKfuaSilg2egisV7kb7/sU48cinaKa2eNIA3tQLHQ8Fgx6vCGy+qkMqQVCaJMlyTXU1QSLEvjuREQ8KWHXI5PlRgpaDzHVG7iOBPNDG0cZfMTN83h2wscm4O5lqDVNky/TmC4JNWCYqKW0A4gCDXtABotRcW3GK1q4gQabc3BExG7XhLYssDWNYplY6BpMTvv8oZLFli7wuVtN23n9Te+/d7zz73wHdK76BcPHhk7KMS3R6fku739m4rg/ZtyagB70zTdCzy363Br2Q1XbvsrUdyzUTeeVg+/EHHTpSkjpYSNky4Xn71IoxMxvVBlYkRi28qwC10DYt9NcJ0Qz9MUPdWtpxd9qJYixocWeWxPwGcfqDE1awhRQthdMSEhyCw6FJ3Q4wdeM8fH725SX3SJYtEtFZo5UY1jaXw35ORcyMe/Oo5jW3iWzoTm02w6Ppd11qwaj3nvT0zxmfsS9h4yd4/hdmI4JIFFs+3Sbqd0Ik0nlLQ6Kc22otFyCSOBo2CkKmlHbZ7YHbFyvMBcXRMlmvM2Ntixd4ibb7w22Xb+9r2XbJv7qcLIFceB3aK/AP9vcPs3C/B8y07A7jSd2h3HyY3XRuUVnnPRp5V/dwVrX/HgCcWrt7e4e0eTk9NFzllv0QlsUiyKrqJaUlSKhp3o2DGOC76TUWtdE72XjbbYe6LD//7EEFLX+MXvn2LVRJ37H3e7zg12NryMEDTbHqM1n5+8aY7f/2iFdqyIk14VxbbAc2N8t80ffdbn1HyFibLJz3sDwwbgttJ8+l6PLz+0kl94V8p/f9c8f/BPDY5NVxivaZodaHUU7cAhijqEmS54vZkw37BotB10au4MIxWbc7dETM3P8fALw2zfIOiELoXa5uZ//tFrF9M0eWehsvLoiZY6uGH03zaw8+3fPMDzTYhx0lQfPO/cycMnptpn/8A7Wq9utS/6m8kVB+P24o7hfccpj1QclEw4NaewpMVQWbJ8VLJ8LMJzEk7MKe57ysWTUPQFBV9SK8dI1eaB5y2ajSJXbLEpeRVqxUXSNEUpQ1jyXE3JDym6Ac22A9S49pwZPr22ztypIeLETMGbEqGmXAjZeTjiK0+PMFG2qLiaRgB+xwhchqEmjgVCaGZaLvVGgef321x2TsIV21t87u4CCw1Bq51SbyniyOE15y+y+2BCJxIcn4ko+Yq5RZc4SRgqCcJYMzPvkaaC8eXLWLd12/yl165sBJH1k2dv3fgwqrCQJGjL+vcBbvh3BHCAzAlAp+nuORi/fWqqtXnfjr8P3vQfP/ALDf3Au3ft3h2NjzW3ztR9TyZzrB+Hsze0EdYi+4+XGA88nt/vUPMl1Yx3Xi5GBEnAvqMevmUzXDUuYTqV2MqwFoueYLgSYztN9hyrMzc/wbLRIpvXBGxd2eLLh6oEkSDVhn/i2ppyocM9OxX1xRLbl8HkqOZUp8nUdIG5hmC0o2kHZtoGjJ3IzAJ0wgIblzdx7JDFtkUn1Cw0bBYaHmevUawclSyraQ6dCnjmgGT9ShuShE1rfTROZ+VKdo2Mbku3n/82x3ZLf/SJW/7+7y++5M3pE7tn9EVnFb/Xp/Dbvv27Ani+CbEZjGx36+Chw1iW9YdSqT+86TWb1ehQ8S8OHE0373hh55XbN7XUQnuGe58vU1+U/IfXtFk14jNatImRJpVwEnYeFBw4arOiIvBcjMWhbXL0clExPpSweqLFVL3D+z9bZbzoc8MlivHhEtedN80dj4c0Oh46NRqIpUJMmHT46pMFRgqKZSOK6y+WDI8G/M+PWRw6ZTNUSlhsKlodmziKCGNNJ4CZeYdNy2Hb2pCDhwpEUYoQMfuOOgzVhgjilIu2BJyzCR7frTlVL/OWa8aTYmnb/afald2JXvwZpRYS23FwXTd99/f9OOXCv0sYAP9OAd6/rVm9CnrzBvHO/TM/uW6bO7Rmw8Xv3fHkHc5DT+ikVBq+cPUkr9p9bC9VN+acjQvc/3yRaknQ6qRMLzrMLrhsHCXz+IkoOTFVXzJWEwwPNdDUCSJJrCWdMKXRkujE5roLNG+8dI6nXhgnjFQ2ptbmtsfgvqcqrKoJSp7Cc2MsaYY16ipkuiE5NWex2HQIwwZBmHQ9d4bLLtWKxHUFsw3N+cUW9+zQXLgZLjkroVRdz5pa/MTKyYUnY7VSXXXN68OR4eFfg2BOiInsUPzn7/Wp+a5s/+4BvnTbtn4EYA74aYCPfPoeEs3Vq8eiG57as+Gdr1kVbDl7zQlm6ydY6LSY3q+Zb2lWj2riVOO6ialjC0GlIJgcizk20+S+p0u8+qyYTcsDZmeNW/Lx2Zhjcx4/cJ1marZNve1SLsQcOhXwD3cNcf4WsOIQhE2K5qXjKSVLcd11CXuOhxyfdai3FFpbJCmEcYJOY3bttyjIkG1rIhzPYr5VZdPWtZx7TolNa9IXj85MfnrrOnFHHHPv+Orrv9eH/Hu6/X8O4Eu3H37nNQD3Hj6xcO/mbdzn2+GGqH1Mjwx9QafesnXrNk7+yrO7DnHTtS7T06fYd+wkQipm51PKvsZzA25/QKJ0mcIF84wORZw4lWJbCUdmNbfeN8FPvklzw6sWeGhHmSjRfO1JxXihxI+/sc0tD2qiBGwr4cRsQqMlWTHksHx8hs/fEzC3aOFKwXnrA8aHGjTDZRRra7j8gg5ucT1hcOx9Bw8FB26+/hq5YnJM1spq3/J13G67w9/rQ/uvYvv/PMDzbdVkFeD2/Ps0OQHSqR04dPKhZsel6Ivoiou2/df5VnS9oyRrN4c8/fQzvHTyGJ1giIs2ubRCFykjSCO0TijbiyRBgd0vScbHJFEcEsUxs/MWa8YgjSwW6k1qTpsgDBCywMSYx9GZIq86S3Pu5pBYLuP1r7sOsPHchHrTu9OS9T92rcQemdyOcN5071nnBfNbN/7b6zJ+N7b/P8BfZhNqEmAe+ALA4txxhGBXK0gmUo0OwpCjhw+w6yWLcsGjVLRpdZLoLa+97ndGRsM3jY1E0bG5dfyHN/kkqcKvJGzbrtiwMeR6RzJUtmhr+M9vm+fYVImxZcpeEOUv7jnyxO9E2rGjpMSy0RlSUWbz5vOQ0iFNhYwSdVIIDqxZNfm9PkT/JrZ/PwXPfwXb9OH7UEpMfPG+qWrZDdJnD2ku3yo4OacollIOTwku3RxwZEpRLkqm5iSvPnueZ/YWWT5mi4MzqxeESE++882Xf68/yr+b7f8Hq13WeGkQD5wAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTg6NTU6MzErMDA6MDA7anzTAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE4OjU1OjMxKzAwOjAwSjfEbwAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 12}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema
Showing the first 100 of 258 matching records in this table.

id: 56788357
{'hecke_orbit_code': 49539596102402146, 'n': 1, 'trace_an': 4}
id: 56788358
{'hecke_orbit_code': 49539596102402146, 'n': 2, 'trace_an': 128}
id: 56788359
{'hecke_orbit_code': 49539596102402146, 'n': 3, 'trace_an': 266}
id: 56788360
{'hecke_orbit_code': 49539596102402146, 'n': 4, 'trace_an': 4096}
id: 56788361
{'hecke_orbit_code': 49539596102402146, 'n': 5, 'trace_an': 7504}
id: 56788362
{'hecke_orbit_code': 49539596102402146, 'n': 6, 'trace_an': 8512}
id: 56788363
{'hecke_orbit_code': 49539596102402146, 'n': 7, 'trace_an': 0}
id: 56788364
{'hecke_orbit_code': 49539596102402146, 'n': 8, 'trace_an': 131072}
id: 56788365
{'hecke_orbit_code': 49539596102402146, 'n': 9, 'trace_an': 123520}
id: 56788366
{'hecke_orbit_code': 49539596102402146, 'n': 10, 'trace_an': 240128}
id: 56788367
{'hecke_orbit_code': 49539596102402146, 'n': 11, 'trace_an': -213026}
id: 56788368
{'hecke_orbit_code': 49539596102402146, 'n': 12, 'trace_an': 272384}
id: 56788369
{'hecke_orbit_code': 49539596102402146, 'n': 13, 'trace_an': 1304856}
id: 56788370
{'hecke_orbit_code': 49539596102402146, 'n': 14, 'trace_an': 0}
id: 56788371
{'hecke_orbit_code': 49539596102402146, 'n': 15, 'trace_an': 1137750}
id: 56788372
{'hecke_orbit_code': 49539596102402146, 'n': 16, 'trace_an': 4194304}
id: 56788373
{'hecke_orbit_code': 49539596102402146, 'n': 17, 'trace_an': 8854244}
id: 56788374
{'hecke_orbit_code': 49539596102402146, 'n': 18, 'trace_an': 3952640}
id: 56788375
{'hecke_orbit_code': 49539596102402146, 'n': 19, 'trace_an': 7232806}
id: 56788376
{'hecke_orbit_code': 49539596102402146, 'n': 20, 'trace_an': 7684096}
id: 56788377
{'hecke_orbit_code': 49539596102402146, 'n': 21, 'trace_an': 0}
id: 56788378
{'hecke_orbit_code': 49539596102402146, 'n': 22, 'trace_an': -6816832}
id: 56788379
{'hecke_orbit_code': 49539596102402146, 'n': 23, 'trace_an': 10649134}
id: 56788380
{'hecke_orbit_code': 49539596102402146, 'n': 24, 'trace_an': 8716288}
id: 56788381
{'hecke_orbit_code': 49539596102402146, 'n': 25, 'trace_an': 119407256}
id: 56788382
{'hecke_orbit_code': 49539596102402146, 'n': 26, 'trace_an': 41755392}
id: 56788383
{'hecke_orbit_code': 49539596102402146, 'n': 27, 'trace_an': -9506098}
id: 56788384
{'hecke_orbit_code': 49539596102402146, 'n': 28, 'trace_an': 0}
id: 56788385
{'hecke_orbit_code': 49539596102402146, 'n': 29, 'trace_an': -110707288}
id: 56788386
{'hecke_orbit_code': 49539596102402146, 'n': 30, 'trace_an': 36408000}
id: 56788387
{'hecke_orbit_code': 49539596102402146, 'n': 31, 'trace_an': 486231270}
id: 56788388
{'hecke_orbit_code': 49539596102402146, 'n': 32, 'trace_an': 134217728}
id: 56788389
{'hecke_orbit_code': 49539596102402146, 'n': 33, 'trace_an': 489871116}
id: 56788390
{'hecke_orbit_code': 49539596102402146, 'n': 34, 'trace_an': 283335808}
id: 56788391
{'hecke_orbit_code': 49539596102402146, 'n': 35, 'trace_an': 0}
id: 56788392
{'hecke_orbit_code': 49539596102402146, 'n': 36, 'trace_an': 126484480}
id: 56788393
{'hecke_orbit_code': 49539596102402146, 'n': 37, 'trace_an': -463131040}
id: 56788394
{'hecke_orbit_code': 49539596102402146, 'n': 38, 'trace_an': 231449792}
id: 56788395
{'hecke_orbit_code': 49539596102402146, 'n': 39, 'trace_an': -493924396}
id: 56788396
{'hecke_orbit_code': 49539596102402146, 'n': 40, 'trace_an': 245891072}
id: 56788397
{'hecke_orbit_code': 49539596102402146, 'n': 41, 'trace_an': 808861704}
id: 56788398
{'hecke_orbit_code': 49539596102402146, 'n': 42, 'trace_an': 0}
id: 56788399
{'hecke_orbit_code': 49539596102402146, 'n': 43, 'trace_an': 1463448176}
id: 56788400
{'hecke_orbit_code': 49539596102402146, 'n': 44, 'trace_an': -218138624}
id: 56788401
{'hecke_orbit_code': 49539596102402146, 'n': 45, 'trace_an': 2871035832}
id: 56788402
{'hecke_orbit_code': 49539596102402146, 'n': 46, 'trace_an': 340772288}
id: 56788403
{'hecke_orbit_code': 49539596102402146, 'n': 47, 'trace_an': -894091254}
id: 56788404
{'hecke_orbit_code': 49539596102402146, 'n': 48, 'trace_an': 278921216}
id: 56788405
{'hecke_orbit_code': 49539596102402146, 'n': 49, 'trace_an': 0}
id: 56788406
{'hecke_orbit_code': 49539596102402146, 'n': 50, 'trace_an': 3821032192}
id: 56788407
{'hecke_orbit_code': 49539596102402146, 'n': 51, 'trace_an': -6950287158}
id: 56788408
{'hecke_orbit_code': 49539596102402146, 'n': 52, 'trace_an': 1336172544}
id: 56788409
{'hecke_orbit_code': 49539596102402146, 'n': 53, 'trace_an': 1448863512}
id: 56788410
{'hecke_orbit_code': 49539596102402146, 'n': 54, 'trace_an': -304195136}
id: 56788411
{'hecke_orbit_code': 49539596102402146, 'n': 55, 'trace_an': 12561674482}
id: 56788412
{'hecke_orbit_code': 49539596102402146, 'n': 56, 'trace_an': 0}
id: 56788413
{'hecke_orbit_code': 49539596102402146, 'n': 57, 'trace_an': 9007365260}
id: 56788414
{'hecke_orbit_code': 49539596102402146, 'n': 58, 'trace_an': -3542633216}
id: 56788415
{'hecke_orbit_code': 49539596102402146, 'n': 59, 'trace_an': 14386900738}
id: 56788416
{'hecke_orbit_code': 49539596102402146, 'n': 60, 'trace_an': 1165056000}
id: 56788417
{'hecke_orbit_code': 49539596102402146, 'n': 61, 'trace_an': 10854402216}
id: 56788418
{'hecke_orbit_code': 49539596102402146, 'n': 62, 'trace_an': 15559400640}
id: 56788419
{'hecke_orbit_code': 49539596102402146, 'n': 63, 'trace_an': 0}
id: 56788420
{'hecke_orbit_code': 49539596102402146, 'n': 64, 'trace_an': 4294967296}
id: 56788421
{'hecke_orbit_code': 49539596102402146, 'n': 65, 'trace_an': -5495584080}
id: 56788422
{'hecke_orbit_code': 49539596102402146, 'n': 66, 'trace_an': 15675875712}
id: 56788423
{'hecke_orbit_code': 49539596102402146, 'n': 67, 'trace_an': -19629545546}
id: 56788424
{'hecke_orbit_code': 49539596102402146, 'n': 68, 'trace_an': 9066745856}
id: 56788425
{'hecke_orbit_code': 49539596102402146, 'n': 69, 'trace_an': 46383539496}
id: 56788426
{'hecke_orbit_code': 49539596102402146, 'n': 70, 'trace_an': 0}
id: 56788427
{'hecke_orbit_code': 49539596102402146, 'n': 71, 'trace_an': 737402464}
id: 56788428
{'hecke_orbit_code': 49539596102402146, 'n': 72, 'trace_an': 4047503360}
id: 56788429
{'hecke_orbit_code': 49539596102402146, 'n': 73, 'trace_an': 21420158732}
id: 56788430
{'hecke_orbit_code': 49539596102402146, 'n': 74, 'trace_an': -14820193280}
id: 56788431
{'hecke_orbit_code': 49539596102402146, 'n': 75, 'trace_an': 63738659600}
id: 56788432
{'hecke_orbit_code': 49539596102402146, 'n': 76, 'trace_an': 7406393344}
id: 56788433
{'hecke_orbit_code': 49539596102402146, 'n': 77, 'trace_an': 0}
id: 56788434
{'hecke_orbit_code': 49539596102402146, 'n': 78, 'trace_an': -15805580672}
id: 56788435
{'hecke_orbit_code': 49539596102402146, 'n': 79, 'trace_an': 60246238086}
id: 56788436
{'hecke_orbit_code': 49539596102402146, 'n': 80, 'trace_an': 7868514304}
id: 56788437
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id: 56788441
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id: 56788442
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id: 56788449
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id: 56788450
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id: 56788451
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id: 56788452
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id: 56788453
{'hecke_orbit_code': 49539596102402146, 'n': 97, 'trace_an': 269091442088}
id: 56788454
{'hecke_orbit_code': 49539596102402146, 'n': 98, 'trace_an': 0}
id: 56788455
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Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$ over number fields
Genus 2 curves
Higher genus families
Abelian varieties over $\F_{q}$
Belyi maps

Introduction

L-functions

Modular forms

Varieties

Fields

Representations

Groups

Database

This project is supported by grants from the US National Science Foundation, the UK Engineering and Physical Sciences Research Council, and the Simons Foundation.