LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2026-09-05T20:12:58.196720

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': 29440, 'analytic_conductor': 58.769895887662365, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [23, 1]], 'atkin_lehner_string': '-++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [7360, 1, [1151, 5061, 4417, 6721], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 5, 'field_disc_factorization': [[5, 1]], 'field_poly': [-1, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 10, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-1, -1, 1]], [7, [-1, 1, 1]], [11, [-11, -1, 1]], [13, [-29, -3, 1]], [17, [-31, -1, 1]]], 'hecke_orbit': 40, 'hecke_orbit_code': 175640385501011136, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '7360.2.a.bn', 'level': 7360, '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, 5, 23], 'level_radical': 230, 'minimal_twist': '230.2.a.c', 'nf_label': '2.2.5.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta q^{3}-q^{5}+(-1+\\beta )q^{7}+(-2+\\beta )q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7360.2.a', 'trace_display': [0, 1, -2, -1], 'trace_hash': 1266953810324691246, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.040', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.871', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.441', 'prec': 10}, {'__RealLiteral__': 0, 'data': '9.197', 'prec': 14}, {'__RealLiteral__': 0, 'data': '3.047', 'prec': 14}, {'__RealLiteral__': 0, 'data': '63.957', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.012', 'prec': 7}, 'traces': [2, 0, 1, 0, -2, 0, -1, 0, -3, 0, 1, 0, 3, 0, -1, 0, 1, 0, -3, 0, 2, 0, -2, 0, 2, 0, -2, 0, 14, 0, -7, 0, -7, 0, 1, 0, -4, 0, 14, 0, -9, 0, 0, 0, 3, 0, -6, 0, -11, 0, 13, 0, 8, 0, -1, 0, 6, 0, -10, 0, 3, 0, 4, 0, -3, 0, 20, 0, -1, 0, -3, 0, 2, 0, 1, 0, -8, 0, -12, 0, -2, 0, 4, 0, -1, 0, 12, 0, -12, 0, 11, 0, -16, 0, 3, 0, 27, 0, -9, 0, 14, 0, -13, 0, -2, 0, 14, 0, 3, 0, -12, 0, 20, 0, 2, 0, 8, 0, 12, 0, 1, 0, 13, 0, -2, 0, -10, 0, 0, 0, -12, 0, 9, 0, 2, 0, -5, 0, 30, 0, 12, 0, -36, 0, -14, 0, -8, 0, 9, 0, -15, 0, 11, 0, 7, 0, -6, 0, -6, 0, 1, 0, 5, 0, 7, 0, 16, 0, 41, 0, 12, 0, 23, 0, -1, 0, 10, 0, -18, 0, 31, 0, 19, 0, 4, 0, -37, 0, -9, 0, 14, 0, 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0, -10, 0, 72, 0, 21, 0, -65, 0, 14, 0, 35, 0, -18, 0, 40, 0, 32, 0, -16, 0, -69, 0, -76, 0, -8, 0, -27, 0, -2, 0, -142, 0, -44, 0, -24, 0, 22, 0, -8, 0, 92, 0, 0, 0, -188, 0, 67, 0, -8, 0, 39, 0, -8, 0, 32, 0, -4, 0, 3, 0, 46, 0, 32, 0, 43, 0, -72, 0, 9, 0, -12, 0, 6, 0, 92, 0, 42, 0, -13, 0, -20, 0, 90, 0, -12, 0, 38, 0, 6, 0, -40, 0, 92, 0, 32, 0, -61, 0, -16, 0, 8, 0, 29, 0, -10, 0, 120, 0, -12, 0, -3, 0, -18, 0, 103, 0, -1, 0, 8, 0, 2, 0, 68, 0, -25, 0, -33, 0, 0, 0, -6, 0, 12, 0, 115, 0, 38, 0, 16, 0, -20, 0, -34, 0, -52, 0, 184, 0, -8, 0, 26, 0, -40, 0, -26, 0, -1, 0, 20, 0, -94, 0, -13, 0, 9, 0, -6, 0, 14, 0, 17, 0, 8, 0, -92, 0, -48, 0, 4, 0, 34, 0, -4, 0, -103, 0, -4, 0, 15, 0, 131, 0, 19, 0, 68, 0, -53, 0, -22, 0, 96, 0, 90, 0, -38, 0, 208, 0, 2, 0, -5, 0, 59, 0, 0, 0, 100, 0, 16, 0, 66, 0, -114, 0, 40, 0, 143, 0, 2, 0, 1, 0, 136, 0, 58, 0, -29, 0, 22, 0, -69, 0, -3, 0, 101, 0, 55, 0, -34, 0, 126, 0, 30, 0, 10, 0, -16, 0, 8, 0, -54, 0, 68, 0, -36, 0, 0, 0, -25, 0, 52, 0, -94, 0, -101, 0, -93, 0, 27, 0, -55, 0, 35, 0, -38, 0, 118, 0, -35, 0, -36, 0, -72, 0, -42, 0, -20, 0, -74, 0, 0, 0, -73, 0, 82, 0, -51, 0, 12, 0, -30, 0, -46, 0, -30, 0, 54, 0, 2, 0, -136, 0, -34, 0, -118, 0, 26, 0, -39, 0, 64, 0, -85, 0], 'weight': 2, '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], [0.0, 0.0], [-0.35682208977308993, 0.0], [0.0, 0.0], [-0.4472135954999579, 0.0], [0.0, 0.0], [-0.6115593638688719, 0.0], [0.0, 0.0], [-0.872677996249965, 0.0], [0.0, 0.0], [1.162055465983745, 0.0], [0.0, 0.0], [-1.134409035196184, 0.0], [0.0, 0.0], [0.15957568972123232, 0.0], [0.0, 0.0], [-1.2345475488484345, 0.0], [0.0, 0.0], [-1.1136073648697082, 0.0], [0.0, 0.0], [0.2182178902359924, 0.0], [0.0, 0.0], [-0.20851441405707477, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [0.6682128760939952, 0.0], [0.0, 0.0], [0.8846399679706632, 0.0], [0.0, 0.0], [0.3754056040344114, 0.0], [0.0, 0.0], [-0.4146470598045617, 0.0], [0.0, 0.0], [0.2734976619774653, 0.0], [0.0, 0.0], [0.4064166474830932, 0.0], [0.0, 0.0], [0.40478220259617703, 0.0], [0.0, 0.0], [-1.9250349460954892, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3902734644166456, 0.0], [0.0, 0.0], [-1.4160870840738469, 0.0], [0.0, 0.0], [-0.6259951444643007, 0.0], [0.0, 0.0], [0.44051383630434426, 0.0], [0.0, 0.0], [1.1637373726287072, 0.0], [0.0, 0.0], [-0.5196870031129697, 0.0], [0.0, 0.0], [0.39735970711951313, 0.0], [0.0, 0.0], [-1.5242783195134924, 0.0], [0.0, 0.0], [-0.8099917651499254, 0.0], [0.0, 0.0], [0.5336944002489904, 0.0], [0.0, 0.0], [0.5073231433977237, 0.0], [0.0, 0.0], [0.6753360788548992, 0.0], [0.0, 0.0], [0.07440254897165678, 0.0], [0.0, 0.0], [-0.841448364271922, 0.0], [0.0, 0.0], [-0.14467081409897628, 0.0], [0.0, 0.0], [-0.07136441795461798, 0.0], [0.0, 0.0], [-0.7106659015573645, 0.0], [0.0, 0.0], [-1.178207345982242, 0.0], [0.0, 0.0], [0.6342448813888187, 0.0], [0.0, 0.0], [1.2012899073270127, 0.0], [0.0, 0.0], [0.5521064481361684, 0.0], [0.0, 0.0], [-0.3156590820680914, 0.0], [0.0, 0.0], [-0.16195326486383876, 0.0], [0.0, 0.0], [0.693758467931679, 0.0], [0.0, 0.0], [-0.1339530121440878, 0.0], [0.0, 0.0], [0.49802035361861574, 0.0], [0.0, 0.0], [1.4842364752270107, 0.0], [0.0, 0.0], [-1.0141002355860138, 0.0], [0.0, 0.0]], 'angles': [None, -0.27854783702320374, None, -0.299458548833239, -0.15132538774402823, -0.34598754837390594, -0.35588145336237514, -0.343986216729667, None, -0.17707778003661637, -0.21994790942052106, -0.21743156640805297, -0.45628650631777856, -0.25, -0.3752109851784563, -0.15116087862282068, -0.3879254059489421, -0.3163635253390716, -0.19518093899140299, -0.3191119904912502, -0.26152260102736336, -0.350259521908712, -0.1474552693677529, -0.262901957763322, -0.11691063642936303, -0.13055331928143038, -0.22192254101864353, -0.2823825081488244, -0.3172461365323511, -0.07497998989354832, -0.20579212197100244, -0.36321205001156603, -0.21346822897097353, -0.11953346985152433, -0.24252686935088608, -0.3766956524243856, -0.31331329412097436, -0.22737268556126025, -0.19991426166617052, -0.09707677424042126, -0.3859814166172691, -0.1264339755011414, -0.24831980010165428, -0.21982679435150582, -0.2361616731276785, -0.26129166528994574, -0.16997344601305683, -0.23368778125363407, -0.39015058515365775, -0.30359338951156456, -0.13831124519088403, -0.3944108262895857, -0.25, -0.1835187881849906, -0.4451968138830974, -0.1330710272363899, -0.2901137468651315, -0.1764802907764415, -0.2623654870394934, -0.09908474117533159, -0.293371961481802, -0.3268127611682881, -0.10675428760503722, -0.26808861511696314, -0.30410502782178983, -0.25040301644495505, -0.1835052605980569, -0.10274723518836505, -0.2871522419114354, -0.24147655749674052, -0.13973716968162775, -0.16949717690480343, -0.2397238306576582, -0.2410114255850829, -0.08550348757953367, -0.32554356979068344, -0.27297182202240156, -0.21649917636248037, -0.20278307065936915, -0.16212581810508842, -0.2284439548082963, -0.12649904782788737, -0.4071435101952216, -0.3754262040873948, -0.1892153339205463, -0.1964017734762152, -0.17784266235076115, -0.10503693389907168, -0.09985318374512418, -0.25739922261116344, -0.16014832114350516, -0.2641573597361363, -0.04755744384344652, -0.30948333080744295, -0.378925733907967, -0.3262364364049933, -0.2689062719893328, -0.3400462008479109, -0.3462284214580866, -0.13468330991478697], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -0.6180339887498949, 'hecke_orbit': 40, 'hecke_orbit_code': 175640385501011136, 'label': '7360.2.a.bn.1.1', 'level': 7360, 'weight': 2}

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': [22, 22, 25, 19, 22, 22, 19, 25], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [115, 120, 121, 121, 124, 118, 117, 117], 'Nk2': 29440, 'analytic_conductor': 58.769895887662365, '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': [7360, 1, [1151, 5061, 4417, 6721], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1129, 'dim': 176, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11, 13, 17], 'hecke_orbit_code': 33561792, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6], 'label': '7360.2.a', 'level': 7360, '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, 5, 23], 'level_radical': 230, 'mf_dim': 1176, 'mf_new_dim': 176, 'num_forms': 74, 'plus_dim': 82, 'prim_orbit_index': 1, 'relative_dim': 176, 'sturm_bound': 2304, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [176, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 32, 0, 0, 0, -80, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 176, 0, 0, 0, 48, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 176, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 128, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, -64, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 48, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 64, 0, 0, 0, -128, 0, 0, 0, 96, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -32, 0, 0, 0, 352, 0, 0, 0, 112, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -32, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 96, 0, 0, 0, 160, 0, 0, 0, -192, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, 16, 0, 0, 0, 96, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 32, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, -48, 0, 0, 0, -128, 0, 0, 0, -192, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, 176, 0, 0, 0, 208, 0, 0, 0, -256, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -256, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 176, 0, 0, 0, 272, 0, 0, 0, -224, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -96, 0, 0, 0, -96, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, -160, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 368, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -64, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -352, 0, 0, 0, -416, 0, 0, 0, -288, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, -288, 0, 0, 0, -512, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 544, 0, 0, 0, -192, 0, 0, 0, -32, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, -160, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, -80, 0, 0, 0, -320, 0, 0, 0, 368, 0, 0, 0, 112, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, -80, 0, 0, 0, -96, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -448, 0, 0, 0, 16, 0, 0, 0, -160, 0, 0, 0, 224, 0, 0, 0, -320, 0, 0, 0, 576, 0, 0, 0, -96, 0, 0, 0, 176, 0, 0, 0, -128, 0, 0, 0, 496, 0, 0, 0, 32, 0, 0, 0, 192, 0, 0, 0, -352, 0, 0, 0, -32, 0, 0, 0, -64, 0, 0, 0, -144, 0, 0, 0, -64, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -160, 0, 0, 0, 352, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, -256, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0], 'weight': 2, 'weight_parity': 1}

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: 48925322
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 175640385501011136, 'source_is_minimal': False, 'source_label': '7360.2.a.bn.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 175640385501011136, 'target_is_minimal': False, 'target_label': '7360.2.a.bn.1.1', 'target_level': 7360, 'twist_class_label': '230.2.a.c.1.1', 'twist_class_level': 230, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 48925323
{'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 175640385501011136, 'source_is_minimal': False, 'source_label': '7360.2.a.bn.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 148618787736788160, 'target_is_minimal': False, 'target_label': '7360.2.a.bh.1.2', 'target_level': 7360, 'twist_class_label': '230.2.a.c.1.1', 'twist_class_level': 230, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 48925324
{'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 175640385501011136, 'source_is_minimal': False, 'source_label': '7360.2.a.bn.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288295654, 'target_is_minimal': True, 'target_label': '230.2.a.c.1.1', 'target_level': 230, 'twist_class_label': '230.2.a.c.1.1', 'twist_class_level': 230, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 48925325
{'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 175640385501011136, 'source_is_minimal': False, 'source_label': '7360.2.a.bn.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539595934631728, 'target_is_minimal': False, 'target_label': '1840.2.a.l.1.2', 'target_level': 1840, 'twist_class_label': '230.2.a.c.1.1', 'twist_class_level': 230, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 48925326
{'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 175640385501011136, 'source_is_minimal': False, 'source_label': '7360.2.a.bn.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 90071992580966422, 'target_is_minimal': False, 'target_label': '2070.2.a.u.1.2', 'target_level': 2070, 'twist_class_label': '230.2.a.c.1.1', 'twist_class_level': 230, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
id: 48925327
{'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 175640385501011136, 'source_is_minimal': False, 'source_label': '7360.2.a.bn.1.1', 'source_level': 7360, 'target_conrey_index': 599, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028865771996286, 'target_is_minimal': False, 'target_label': '1150.2.b.i.599.1', 'target_level': 1150, 'twist_class_label': '230.2.a.c.1.1', 'twist_class_level': 230, 'twisting_char_label': '40.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 48925328
{'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 175640385501011136, 'source_is_minimal': False, 'source_label': '7360.2.a.bn.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532396679890046, 'target_is_minimal': False, 'target_label': '1150.2.a.j.1.2', 'target_level': 1150, 'twist_class_label': '230.2.a.c.1.1', 'twist_class_level': 230, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 2}
id: 48925329
{'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 175640385501011136, 'source_is_minimal': False, 'source_label': '7360.2.a.bn.1.1', 'source_level': 7360, 'target_conrey_index': 599, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36028865771996286, 'target_is_minimal': False, 'target_label': '1150.2.b.i.599.4', 'target_level': 1150, 'twist_class_label': '230.2.a.c.1.1', 'twist_class_level': 230, 'twisting_char_label': '40.27', 'twisting_conrey_index': 27, 'weight': 2}
id: 48925330
{'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 175640385501011136, 'source_is_minimal': False, 'source_label': '7360.2.a.bn.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 207165582892606448, 'target_is_minimal': False, 'target_label': '9200.2.a.bu.1.1', 'target_level': 9200, 'twist_class_label': '230.2.a.c.1.1', 'twist_class_level': 230, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 2}
id: 48925331
{'conductor': 184, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 175640385501011136, 'source_is_minimal': False, 'source_label': '7360.2.a.bn.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050394816746666, 'target_is_minimal': False, 'target_label': '5290.2.a.o.1.1', 'target_level': 5290, 'twist_class_label': '230.2.a.c.1.1', 'twist_class_level': 230, 'twisting_char_label': '184.91', 'twisting_conrey_index': 91, 'weight': 2}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 4451800
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 175640385501011136, 'p': 2}
id: 4451801
{'charpoly_factorization': [[[-1, -1, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 3}
id: 4451802
{'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 175640385501011136, 'p': 5}
id: 4451803
{'charpoly_factorization': [[[-1, 1, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 7}
id: 4451804
{'charpoly_factorization': [[[-11, -1, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 11}
id: 4451805
{'charpoly_factorization': [[[-29, -3, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 13}
id: 4451806
{'charpoly_factorization': [[[-31, -1, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 17}
id: 4451807
{'charpoly_factorization': [[[-9, 3, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 19}
id: 4451808
{'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 175640385501011136, 'p': 23}
id: 4451809
{'charpoly_factorization': [[[44, -14, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 29}
id: 4451810
{'charpoly_factorization': [[[-19, 7, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 31}
id: 4451811
{'charpoly_factorization': [[[-16, 4, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 37}
id: 4451812
{'charpoly_factorization': [[[-41, 9, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 41}
id: 4451813
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 175640385501011136, 'p': 43}
id: 4451814
{'charpoly_factorization': [[[-36, 6, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 47}
id: 4451815
{'charpoly_factorization': [[[-4, -8, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 53}
id: 4451816
{'charpoly_factorization': [[[-20, 10, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 59}
id: 4451817
{'charpoly_factorization': [[[-59, -3, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 61}
id: 4451818
{'charpoly_factorization': [[[80, -20, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 67}
id: 4451819
{'charpoly_factorization': [[[-29, 3, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 71}
id: 4451820
{'charpoly_factorization': [[[-4, -2, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 73}
id: 4451821
{'charpoly_factorization': [[[16, 12, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 79}
id: 4451822
{'charpoly_factorization': [[[-76, -4, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 83}
id: 4451823
{'charpoly_factorization': [[[16, 12, 1], 1]], 'hecke_orbit_code': 175640385501011136, 'p': 89}
id: 4451824
{'charpoly_factorization': [[[181, -27, 1], 1]], 'hecke_orbit_code': 175640385501011136, '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': 40, 'label': '7360.2.a.bn', 'level': 7360, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHFg45ciuA2AAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vGXnXd+Lv5+y1trt1DnT+0gz6pZkWbbkbuMGjmPjAiQGQieQdpMbakIJCdeYkEuAUI2xIWAw2MYFV0kukizJ6l3Te59Td9+rPM/vj2fVfY5kX0J+wty7X681e59zZubsvdZnfZ7P9/Mtj+D/e/ydPT7yqbuQUmx84uDJKZtYu2Wdh+9JHjrW5ZUvmBW3XN1auPPhhC3rFtfddNUZ+9jBrdR8ycZ1fVrNRBi5dwXshXVbXgGwGVgGBkKI5/ujfdM+9PP9Br5ZHoePnwfYbUyy0SJMfxDy0Y/9NXu3nGXX5kVqyufo6Y9FS/aFvzjoLf0jLWx05rzPxllB1B/SXYn9M2fm33/qjEAkwx88NdkLz12YZ/M6ODkMmWwl3jA+/je/+cf7f/Hp0x8X//0//dB7L5w59le1+LGHeisHlCUAIaSS3gXgWL215fk+Jd8Uj/+PGp7l8czhS1hRm/bssVf2lx5HCRmdWZr6t92hfL0UljCKefjhR2nVl7l8S5vlruLUxTqYEXEUMzNhOXDK55rdCecuSWYmYyaaAUfOaRITMdcSnF2IuHaP4dApyeykwfd9ajXNsUuS5R7s2xCzd8cMV1z1AiweWkE/1LftPzb89cQm3mtefi2X79p6J3a0LOSG5/uU/b18/H8ATx/Ly/NYeGOrObrs2PGu+U+/+Zfm3W+c3N0bbfjpXucIzZrP8VPn6XQWCCPNUl+SWJ+aZ5kILBc7MYfODdkyW2OqrlAiYm7SZ+92RX8IQo44c0kzDOHsgkDhMxhFXLbdsnGmh0TSbIRsWt/lwIlZFpfrNGsJgY7oDw3tniKMY6Zn5mi2tqD0iGv27uaxAwu/8pJ9549t2/u9MhRTcst6fQT4/OTEuuf7lP69ePy/HuDPPHE3UohXLq6Eb3jyyMI7r9p96YpRz+f9HzvILdcuM3/J4+R8n63rFI0A5qYMZ5YClLRIYdg8nXDyYo1mw/LQkRH9kaDmw8IK7J7TNOoBG+diXnlth6ePTfLQfsEzJ2NuvSZhyzpDsynYvnGZ+WVFLYDByPLIgXW06pKjF302zQyRAnyVcH5RMdmMkSRs2RAxv9BiYA2vvr7JyaWrqbUSXv6CqQMXltZ/JIzlF4Tgzje+/lXP9yl+Xh//rwN4r9umXgtmzl+Y/79+/39+wT906pnkR95Se+HS8uRNf/7ZC2xcf4LXXt/kjgenGJgVXv9Czd2P1dizbUBv4HFuSTGKBIGOuWpbwoaZEYtdyWNHJ4liwd4tQy52FdftGXDouEdnqAlHcPNVPQ6ebjBRD9l/RvOSfZIwGtEZah47IblhZ0K763HZ1pAwkjxxTLDQrbFpGq7Y3sXXkjCC80se3VHM5Zs9vvKY5bU39RgNpvjs1/q86qYVrt+zjQcObWFh0H/oO1+78PCmuevV7LY3hY3W7M8mcbg0Mz35fF+C/78+/sEHmUePncD3tPjIp+7m1TePFP3P/87hY96+Bx899/LTJ8+o8xc7HD55mo2tCbbMNnn0yDpeecMSL7xiks8/0OLBI312brKcu6TZvN7SP2uJrGUUeZyel2yYHSGEZe/WEc8c0wT+gD2bfC7Me0xPCF5yVcTjhw1PHJ2gH3XZsTHkBd4kZxfgsUN19u2I2b4Ojl4U1IMIhOLQGY0lQtqQbXOWVh2UCPGUR3sA29YrTpwT3HRFl+lGk9ueFExMRtx6zQQPPw13P3yUbdu6N9mRvumZ/cc5e99fJ35r21XtJDj4vg99+MdfcZVI5ra9Amtiu37j9uf7Ev1vffyDBHhn+RxSKjkcdmp//We/NHr1W3723ydJ8j0///vHo5/9JwevrImpWnc5oOXDsC955BB8z+t6XHtZi3OLNW5/KODtL1/h+j2zfPFRn8u29dk41eLEuZibrwg5cNpnqhkBkqdONNg8Y1hc1tzzdMI9h+G6HZartkmWuoK7n5G85pqIqaZiudvi9HnNSseivJDvfdMyJy9MsNIV3LhvyHWXzeMxzYWFOU7Pw1U7DYNQcvxCwHRDs/+MZN826HYl+3YssGtzjS8+6HNiccA7Xmm4uDDN/hPQHiXccFmIMHUOHOvz9NED6silY69qzfRf8ms/2rw5SV7ojUaj//mW7/zpX3vy6cPBzMzkMI5js3P7Pzxn5h+URIkTg5BCmmh5qrt05JbhSL3v0OGj8b0PHJ597JnzE0+ejJmeW+A/ftcIm2zh8UN1HjsUcejCgDfc2uZlVzZ5/OAUdz4RMjXb49tfKnnyQIu7nxpw5Z6YrTN1sAOEFnhSc+S8Zv1EQntkadVGnLyU8PTphJaa5vUv6rG80uL+ZyzX7BJcvj0hiQWn5j2SxHD5VsHVuyPuf1qw1Ovzupsk9eY5Dp5oceL8NI1A0O17rJuMOXrex9cjlFRYo9m2cYmrdyjuenSah45FvPWVbTY0p7jrkRqPHu/zkuuX+bYX+Rw5OcdjBw2PH43oyx7/4bsvsWVyPYdOzbE0WN9pTe9a3Ln7Mh0Z9cPXXb3nvg2zrRWwRgj5fF/Kv7PHPxgGv3BxgQsXF3be/cjJrbs2JR/Z4n928tSpdvP4SUM08mjVYfOU5fET09yz/wJvu2WZbW1Nu6fpDAI+8sUms60O1+3VDMMmX33K8vF7+rzj5W1qtRaPHPbYPNtjdsLn9EVNZ5DQ7w9obvCIjGamqdg8LXnFNQMePRyjpSDwY4JGzEPHFM2Wx9Z1IaMYtszCDfvmafc1o3iayGiePCF5/NAOAlUj8BP01IjBCCYnBuwCOj2f05cSZqf6zE22+ML9Pk+eCnnbq3psnZrgnsdrPHF8yFV7lvknr044dGKao2cEZy7FnG8nvPlVHa7ZVmf/8Sbzy3Di3IWJE+dOTLTDB5jctPWvfu0nBu3Ii98ZyyvO9PuLJxqN2ef7kv6dPL7pAW6tBdj3mc9/ZTPS+/077z1w+S/cd7d6//95hnUT65mdnKU38OgPNIORYdcQ/vgLM2yaXeSWvZr+cB2jyGMQNrj/mZAwWua6vRD4DR44oPjYXW2u2bnCy69rcvj0BPMrQ+p+zNy0Ye8WxflFxVJb0ukmtOojAt9j61zI8QseWg5420s1Dx/0uHLHClNTHT7zSIPOIGDdZJNHDvlctbvL7KTHiUuCLXMetVrEdC3B0xIpBQ/tn2Gy2afuj7hsm8KXdb76hKXRWOEdr4KWN8WXHvQ5cGbAdVcsccMeOH1uI/uPeZw4F/H0GctN1y7zfa+LOHNpExcWa8wvw1I7pjOAp88OmOre3+ycvK2p+2+80/ji8GBgftRaew44+M2eRf2mBXinvYjW+vJDB558wfJK/98cO3bslXfd9zTPHO+wOKzxB3/T5Ce+o83muRqDkWIw8hmOPAYjS+9cnc/c3+TWqxe5YZ8CprHW47Ej03zwYI93vKbDLVdGrJtq8tD+aW67f8imdUOu2CFYP6k5es6jP4zo9aHdE2ht2bIuASWRMmTQl5xfroGps34y5LItfe55ImBEzLe/LCIJGxw5I5mb1myZFRgTM7+s6QxHDCKfbs9n27oRsxNDlJJoLYgizdEzMDfd5yXXxWye1hw6OclXD8C5pS43Xdflu16VcPrcRh49GHDwZMyjxxIi0eXNNw8ZDtZx5mKDC4uS+eWIxXbMmSWJqg/5V9++TMMLOHHkYbXcP3tFMHH1lzuD4E7l1X5jaXnl8TiOD6+f++b01dXz/Qb+No+VpVMEgb/z3JkD//fxYwd+4e6v3rfzwMGjDEchSilGI8lTJ322buzw0qsiosgnSjTGKqwVaAynLvicWDDs3NRh4zQ0gho1T6PQPHZUcWFlyMREyNW7DPu2BnR7Nc7MC3wdEVnFuWWPc/OGTijQWrNhKubisuHEeZ/plkSgWT8TsdS1XLtziJQNzi822Lsl4NDJgNMLlqt2jri4JIlij0Go2LctQghLty/ZMBUzNzNi/UyIJ6HdVwQB7N0qWF5u8cWH6xw+N2Rmps2rXzjgJfsCjp5az2MHfZ4+FnNsPqQ11eYH3tjj6h2TnDw/xakLHufmEy4uRpxaFByat7z1ZRf5wTfF9PozXFqa4NKi5dCR8zxz4MTOdjf6zuEo2bF+w9x9//zH/sXKb/7Grz/fl/7/8eObav0Zdg+ivfpcd+XMvzl9/NFrF5e6bzt06BQL7YClNiyuRCysxFxcsRxfFsyua/Mz37HAi/c2OX5ullMXGpy5pDh3KeHUhYhj8wbd6PGOl/d4880+py7Msv94wJEzhv2nIhI5ZNv6kFuvNexYLzl1ocnpi5KljmEYG6SE6RbMTcYsdTSdnmJ6IkQLzfREQi2IuH9/wO6NhrnpmPMLdTxlOLtoWD9t2b0p5Gv7A3xfMdsCpSLWNWG5J1jsCdZPGGYmIqSEUahY6mhOXtScmo/ZsXHILdfGbJ3TkDQ4cLzB0TOWZ04mnFwc8caXLvP2l4+oq2lOnJ/mxDnNuUsJ5xYiTs1bDs1bXnT1PD/1rg4bJqc5Oz/FxYUal5Y9Flbg0uKICwtDtmzfTbM1/fGXvfzmJ3fv2vob/f5g/uZrdz3fUPiGH980DG5XfhutTkyY/uO/u3LpoX++PH/yqm57AfAxVpEYibUCaw0Ci7Rw4kKNh44ILt/a5qodBvAAhZQarSSBslxa8DhwRjE0A67Y0WHPFsPctGbjtI8vAhbbAacvCI6fFzxxAk6cD5lfHtHuJgwjj5rvM9eybFkfIUTCYKTZuTHCU5bICKLEZ7EjGYw8fC0Q1jA3ZVg3mbDUCegMBMPYY7kv2DhpWGwbTl1U1DyfjTOwdS5kw+yQ9bMjNs6O2LrBsn2j4sptHnXV5PipCb72lM8jh2KeOBmRqC7f9rI2b7vVUlezHDo5xfFzmrOXEi6k4D6yYLnp6nl+7t3LbFs3yblLU1xarrHY9lhqS5a7CZ1+Qn8kOHJikWNn2lc+dujSyw+fvrDz+JmLX3jxa98e3nvbR59vSHxDj7/XDL683CaOLVLynnsePXrrT//GX8u333L41v/jref1wvJ6ljoTLLXrLLY9FtuaxbZgqZ2w1I5YXEm4sAJHFwVz61b4T9+zyIv2Njh9cYZzl5qcW9BcXLRcWIg5M59wqRszNTPkpdf2ePEV4Ms6gQq4uFTj/ILmwpKgP4I4NtR8Q7OWMD0ZY4CTF2I6PdixwaNZH2GtAOHTGxi2bxyxuKLBOimy0oNRDBbLUjtky3qP7kAhlEWYERM1j+2bhqz0BSfPaRKjmZ2QtGqCwIM4FvRHkgtLkvOLlovLMUEwBC/mJVf1uPVqwdxEncXlCU5fDDi3ABcXYi4uxZxdgqOLlhdetcAvfc8yG6cmOHVhhguLdeaXfRbakqWVhOVOxHInYalrWOwJznYES0td/u9/O4y/61sa93qzP2L85pX3CuzPWBS1+sTzDZVnffy9ZfDfff9HecVLb+Tf/Z///pc/8skv/7sPfviLlz1zcmXnobN9+bJrHNPGicZYibWOvbESkIBACIsWFl/CucU6DxyRXLtniSu2DWnUwNMS31P4vqZZlzQ8Sb/ncfBEjTse8Tl5aUQnjjh4esSG2SXe/NJlrr2sywuvaHNiIWahL2gEQ46ds7Q7Ta7ZLVkZJuw/oWg1NE+fhMs3W4ZhwjDx0TpiugUHTgconeDJGO3BYCR50RV9Bn3JtZcldAYJJ8+12LVR0WyErIws66f6LPc6/OWX4bHjCU8cH7Jj8yLX7eswPRPyppd0efsrLHs2tkiiKY6fneToGY/TFwxnLkWcuZRw9JLg1ErEC/bO85++p8uGqSlOX5jh4mKD+RWfxbZkuZ3Q7kas9BJWepblnuBiX7HYibnpygV+7C0LMpBy5/mzZ3b1+/HNzakd9UZz+osHHvsY/+P3Pvx8Q2bNx99LBv+zP/8ot96wRX3yS0d//sSpC//h6YMn1PxyxMJAcaZvuWb7RX79R+e5fk+Di4vTLLYbLLVrLLU9ljqa5S4stxOWOzFL3ZiFNpxeFuj6kFuuXuI7XhGya32Tld4El5bqzC/5LLQFS20nEZa7hs7A0BlZ+sOY2YmI7RsMIAg8y5lLHkIG7Fiv2LXZsnl9n4vLIx4/3OLGyy2N+jJPHZmh1QwJQ4/ZacNgCFduH/KhL0+xb1vMaGRZNymJkgGtWsDTJ4bUvSbX74154ljIxUWfLbMBuzbB9o0hSkWcWQDfswhh2bEhZrol6Q4Cen2PTt9jqaNYWoHFtmGpnbDQTrjQhsVhwvYtPb7jlQvccoWm5k1wfmGCheUaCyuapY5guW1Y6UYsdx24F3twoau4uBLzon0XeO+PLnLZ5haLKxMstWsMwglaU7uSoLnxl08tX/tLc41jya2v+MfPN3RWPf5eAfzQoUMEtVr9wrmz2x9+5Ml3HTp27r8cOHya2Cj6IawMBJd6inPdmBt3X+S//egi1+2uc2l5msWVBsudGksdj+WOZrkD7a5hpRuz3I1Z6lgutgXnehZEj7e9rM2bXmTYvalGGDZYbtdY6fm0u4rlnqDbFwxHljC2JAkoaQk8qAeWqQnL+pkI7Q05ej7kySMBJm7yhptDtLfCw/sn2bkJPvdAzMuuCbjUHlDTijiJmJmGOPLQXsziYoOX3tDhc/e12LUJHjo8wqPB619kiMWAJ48mHD9TQ0ufDdOa6aagHgh8X6AExAbCyDIModu3rPQM3b5hpW9Y7FkGScKOrX3e9OI2b7s1BNNicWWSS0tO1i11NMttWOkmtHsxKym4l/pwvqOY7yS8cO9FfvVHL3HVjjrzy1OsdBq0ewG9gaY/AK++DV3f9B/Xb973V9u3bT01HA4Hl1++9/mGUv74ewPwE8ePsH5uzj90+Mj3HT5y+HcefvhxMb/Ylf2RoT809EeW7kA4kA8k57sRL7rsEu/9oUVuuKzGwsoUiytNljsBK12f5a5mpStody3tXsJKN6bdMyz3LJe6gvNtw/RUn295YZeXXBGzY4Niou7R6dYIPAkowlhijMBY6A8BYZhuDTl81mJsyO0PNRn161y2xeeWa/tEZoW7Hpni+ss9Dl/o0V6e4MXX9vniwwEbZiz7T1r+xVs77D8RsGFGcscjiluuVCz1Oxw7PcP1e0PuenJAPGrwkqt89mwbMoh73PawgkRw9IxmoqHRAvoDibGCxFiiGJAG7RvaPUuzFbFt04hbr+zzLTfGzDZrXFyaZHGlznLHnZvljqDdg3Y3pt2LafcS2n3LUl9yoStY6MbcvG+eX/6hea7bVWN+eZKVXoNOL6DT91KAK9p9wSiumT2XX2t3797z47t2X/bBxYWFcN++y59vSAF/TwAeJ5GMwsGbH3/ws5ctrZhfvf/+h71hBMPQ0h/EDuBDQy8FeTsF+bl2zEuuvMR7fmieG/f4rHQmmV9u0e7VWOn6rPQ07a6i3Yduz9Lpx3R6Cb2Bod23zPcE8z2IkhHXXT5g40xCr29544tH7NxoiBOJlpYwgjsfr3HqUo1N0zFPHa2BaXDFVsUN+wxBrc/Dh/vMLzS5emeTiall7nvC46bLayz2V1henmDjRssD+xX/9NU9Htyv2breY6HXZnlphhuu7HPfUwkz9SmuvqzHpXabB56Zoq6bvHCfZe/2Icgejx8XrJ+JuDgfcdfjHsNIISUkxrJzU8i3vDik21NsnjbccDmEYYOldoOldsBKz6PTV7R7kk4POv2ETi+h20/o9A0rfcvSQHK2I2gPRtyyd55f+sFlXni5uzna3TqdfkC379EdaHoDRW8g6Q2Ec1yGMde94IVRGKmf/M53/aMjrWb9077vmecbW897JjOJe5ik/z2Xzjz460uXDs2cObfCZEuihi5QdJn4GCEA4SxAISxSWqTUPHhoAz/zfs1bb1niO1+9xK4tIRcWJwj8OvXApxF4NOuabl3SGnhMNjX9YUJvkLBhZBiMLN1hwNJ8jTOnLWFsOHshJggsIPCVRUtBf6AQeMR9zQt2CvZstmzf0meUdPn8g4oDR6Z53Y0BN1y5zJ983uKLBju39HniPsWWKcW6iT41VSeMPC51oVnTbN0geOxAyA1767zi+gX++DMDfK/Fa2+2eEGfLz0Q8rn7mzxzvM7uzQ12bkqYmw7ZtS7imp0JShm0soClEQTMTQWEkUe37/PUYY/e0LFsbyjpDaA3tPT67rN3Bwm9gaUzsKwMYL6vuLhsaUy2+ZdvmOcf3zLiut1Nzi9M0O7V6ObgVvSHKbiHgv7IMopgFFq+ctcDXq05++vr1j+w9NpX3vxvl9v9P56ebPy/F+DDYZ8oFj949vj97zl9+LaZYa9HzQ+IE4F1UAYUQoAQCUKAFK6TRkmLkgm+lDxxeI5HDzU5fO4Sb721x61XDZlqTbDUbtDs1JgY+PT6mm56sQdDTX+kGY4sw9AQRpYossSJO8LYxxqQSuBpQc0XTLUE0y3YuM6wdUOfddNtvvAw3P2ohzSTvO5Gjxdc0eWeZyLC4QS3vEDQHgy4tNjkJXsN66b61HXAMFbMdyKUEbxgr6bRGvHIwRovv2GSF1/X5ZGDCuwkN17l8wPftsQXHwu548Em+0/V2D6n2DhTZ7rVYLIF9QA8bVESjIX9xwVJIohiQRjDKMJ9xlHCYGQY5nLP0BtAZwTzPcmlLozMkNdcv8Sbb23zT15riOMJLiw06fRqdAc+vYGXsraiPxT0RoLB0DIYGgbDmOHIMhgZzi2c58/+6gsz1pj/+o+/9eW63+u/v9F8/kD+vAF8NFxCyuQHzh7/6ntOHvrS+mjUwfc9EmMxJlvZJAKBEAohBFKSghuUsmhl8ZSh7gkW+nU+/OWtfOnRDi+7ZoV3v2aFa3b1mJ1qsLjSoDsI6A+8FNjKHaFgFEmiWBDHbql3K4YLKrWGmg+NumGmFbFlfZ+YHofPRvzlXTWOnW4yFdS56SrNS67t8MChNrd/bYKbL6+xfVOfD31ZoETARCtipTfCWFAC5ib6dLo+Jq7z5pdd4sOfa7DnYo033dwnjBa568lZoqTGi65az5tu6nD5tjZfeqTPE6cbPH7cZ+uMZGZC0AgEvuduQilACIuxYIwlitObNbKMIncjD0MYhNAdCpZHgqUuCD3k+n0rvPtbVnjZVQmzE3WWOw3a3TrdfkBvWOjt3lDSH0kGQ+hnN84wYTgyjihikFKxtNzmLz52+/o4se958xtfai/OL//Rhrnpf/gAb/csrQZCIOyFYx//XhOPfnXl3IF1nmwjAw8RJe4CWUhx5oAtBFJIlNRImaCUSJdng6csgbbUtWB5qFhsT/ORO5vc/1SPW65b4d2vXeH6PW1mkzpxHNAf1ugNPAYjTRgpolgSJ5LECIwVLgsqLIFvaNRiAj/E90acXRzxmYckR874HD8zjTIBezb5XLlLceMVHVQwz5NHW2yZanD1btg4t8xSZ4JrtkhiY/nCgwGjvmSqGfP6Fw359F0Rpy602HeZx/mVIU8f89i2YZrrds1zzxNd7ntaMAp9rtg1wxXbAq7Y2uXo+SWOnIUHDzQ4fKxJQwsCLWkGlpoHUrqgylp3s8YJhDGEiWPczlDQiSA0McYOeeHlHd79LR1edk3CppmA4XCSxXaNbi+gN/TpDzS9oZMkg5FgMJQMRq5vdDhKGIbpyhAahqG7kcIYYqs4ca7N+z/85fWPHLr0q5Mz9fjb/91X/uQ3/vlX2LHv5//hAhw7xNray+55+JE/Onvkt2duueziuoZfRzQDRhFpI6+7SFKkh5RISQpqhVICrQxaJXha4GuD71kCz9LwE6Zqgu7IY7kzzcfunuDLjw/ZMN3nXa9sc8W2IcNBj6t3WbZtVIwijyQp0vwCi5QGTyecvGg5fkGwMjB86p4GZxemsaHHdE2xeVazY6Nm9xa4ek8HIxd436ebLC1NcvMVmqv3tPnS4wIRe6yfljQbMf3IR1oJVqK0T3souLgkuMo2eOWNXe59pM7mdT43Xz3D93/bAh/8XJcHDzbpDT0WV1rs2lxn36Y+L9rb5dtf3uXc0hKfuidgsR9w8rzH2bM+nhJI6VY9Yy2JgchYktgwPRtx7VV9RqOIK7aNeMcrR6yfVMy0AqKoxvn5Gv2BT3/kVrlBDmzpwD0SDEc4MI8y1k4csEPLMLQMQhjFgmEEg1hz+mSXh05+dd2/eGfwm+/9/ulo+95P/PlPvPd3+a8/9WP/8AD+wz//PiZbvvj0535rV00e3Lt381PMztTo9hzzaGVQ0iBFEUQKaZFSIaVESZmCW6KVQGuBpxN8LfA9Q82z1CNLI7RM1hKm64J+KOmGTY6fafLeP58BEyPimBuv7bNrY0gcg7EGa10SRwqBVALt+Rw85bP/SI1mTdPyJesagrlZyfoZzeY5xY5NCft2rJCIRX7r4xOcPDXFzXs9rtiZMIi7fO3JgKm6x+ykZaoV0qg7KWSMpD1ULPUsi+2Edq/OS69e4aH9fQ6cUkxN1HjRVVP80JsX+e1PwCNHmvQGlpWu5uLSBBvXNVg/PWTH7JB//84+E402TxyHg6clnmdRyiKEAdwyaC3EMezcmHDLNTFJ5BHFAdY2GIYeFxZ8BiO3og1Dlcu3QSgYjgTD0LG2A3HCaGQYhYZhZHJgD0PLMIJhJBiEgl4EnUiyHFvi/ohPfO7k1Gi44w9ffPifxL/6k62PvOeH/6vVsz/xDwfgP/9rf8F1uzcp+7MffNsvf/DC+/YfPMUrXzDFL3x/lyu2d1HSoFUNqYxzR5RBSS8NJC1KqVRvSzztNKfvKUaeZBQagjBhFFnqkWEUGcLQMhHDKDKMYghjwTCSjJKAKKlx4EiTxw9AYi0O2k4bexJ85Wo+WgFcvQkm6jDZlEy3FLNTmvUzsH3jiE1zK0R2id/6+CRHj01yw27F7q2SPVuX+crTMRcXJ7lxl2R6wlDzBwQywCpBnEiEtcRJyHKvxsVFjxuuqPOCvV3ueaTGhmlBo9bihr2Gf/m2RX7zE4anz7ZY6RlWuor5Zc26qSbTE3WmJyaZaETMNSN23BASeDGejlEqQQon8izupooixaV5TRQrolgRRopRlD6HklEkGYWSYSgZhcIFqKFgFFpGoTuvozAhTKXIMHLfH4YO2MMI+pGgFwnakaAzMiTDAdfvWubnf6DDi698qNGajP9k5ZQy55de/PGzBz+YbNn3fd/8AP+V3/gLJpqBevzgyXdcPD//xw89vVQL4018/O4+sVH80g+3uXJLFy0TpHQsrqWPlhalNEpaPGXxtMLTFi+U+J5wF8ETjHxFGDmgR5EljBPnisSlI4E4sSSJITE4vW3IwS0EKAlagudBoAW1QNAIJM2GYrIhmZ4UrJ+J2bGxT6u5wsfvDbnryRlWFia4drtixyaPy7cNScQKX3iwQdPTzE0rWo0hTx6FZ45prtlm6Y8U110ece0ey4XzCfPLPoNhgzfc1OWrTww4fFbRrEsCf4Jrdht+6XsXufPpAZ++cx2LHcuO9QnLbc3UhGKy6dFqeDTrllpgCHxDoBO0clJLpq2V1uISVkYQG0mcCOJYEMWSMBZEkWQUOecljARhZAlDGEUJYWQIS8QxispHytopuLuRZCWCwShGxANu2LnEL/7QIm+5JaE3mKS9fLY2shv+1PMP/7NRMvPRo0/9WbLnmnd/cwN8pmXlYNT5zpOnz/ze4UMnaxtaHouhz0Br/uY+RThSvONVHd756i7TEwndfg0lE5RO0NrD0wme1niRJtCKoZeyjScJfUEYCXdxIkUUQxhJ5yDEhe0XJ4Ykce5CYlOnJI1iM3dGSSd7fC0IfEktkDTrgomGZapl2DAzYm66S2xX+MhXJR/83CzrazWu3S7Yvslj52bDjk3LfPxrlqWlGldsVExPQKsRcfGE5NJygL8LRpFgblIyNQWHj1uWO4YLCzUu31nj1Td2+czdNWZbEPg+Sk5xzR7BD7/pEp68xN/cM80zZ2ts6ESsn4qZbCpadUWjLqkHmsCHwAOtncOUxTE5yHE3dmIgSQRxQgp0iBIXIEZR4kghMoTZc2QIIxjFmSuTWpCxYJCydieWdCNDOIyYDNp8xxsWeecre7z2BljpTtAb1OkPa3R6p2oyqP9homra4v8Fjme+OQH+wT/9BIkx33ts/7H/dvz4qYlGTWFDm9Zsa/qixRce0nzt6Rrnlxf5F2/rMT0RUQtiuv0YT/t42sPTHn6YEHoaP1KMIknouVS6YxzhmChlpTiGKIEkcU6CMS7gMsZmPZwpuB3AnbYXeNoBpBZAo2Zo1WOmWjFzUwPWTa9w74GQP729zsHjU+yc9NizEbZu9Nm6AfZt79CPOzywf4K68pibVky1YKo1Ynoyxvd1nrgajHyWOhErfUu7F3Np2Wf7xhYvvuIStz/Y5+DZCRpBhKd8hJhkzxbFd792gRfuu8Sf3t7igaemWOxp1k/ETDViGjVJvaYIPEHgSTzPxSpKkdqHDuUW18NqDDnQ48Skq1tqLcaGOHHgjiMIY1sckXNlhrEjlX4k6MSCbgLDQYyJB8zWu/z42xf4P7+rTz0IWOk0GI4CBqOAUegTJx7ti6cnROD91pZtV/jPPPqpD151w1u++QB+YaGNUuoHf/+PPvaeZw6dmVVS4CtItLvITvdqerLBylDx3/7KY//RZd788j6vvL7LhtkR3W6dgfbxPZ/A9xiFmiBy9l7oO4BHkSSM3bIbxamnnZBaf6TMLZ31mIHbJSlT5gatXMLE9yw131CvxbRqMdMTIzat63Cx3ed3PuXxhYdmWFpuctmcYPt6wZb1PlvXC3ZtHqL9FT58l+bY6SZ7N0imW5LJZoKUI87OWwItkQKsFYSRZsf6Dg+S0OkrljuWi0t19m6t8e2vbPPRL/mcuBjg6QghPIxtEsWSG3cts+O7OnzhkT4f+sIMD59osmVasK6Z0Kwl1HxB4Al8z8UqWuECZynymgyLO//OjnXANoYc5HHiJJ0DO4SJq3UJs+RRLBjE0I0l3RgGoSHpj9i6rssrbljmLS/v88YXGrRosrxcYxQ5YI9Cj1GkiRIFQhINTs0qNv7qvuverpJo+f3Km/7mAfji0gqBr7//o39z13vufeDp9aPIIpVASYuvHMAcwA2eEHRFjU6o+fBXatz5RJcbrujwXa/t86ab28xOBQyGAYORT+B5hLFHGOk8UIpjRZRI4lgSJYI4liSJIDGi0NpGkKsSS5oRdckilSaLfM8Q+An1IKZVH7FuqscgGvClJy1/+ZVJHnhqimnf45otlk0zkg2zPpvnJFs3hOzesswTJwZ86qtzTCrN3KRgoimYaES0+wmf+1qNlm8RwgFrMNK8+ZYRn73f1cS0e4ZLy5qt61u89dYeDxzosv+wTzOIUVI4kJsGw9Bp/e9+dZu9my7x4Ts73PfMFKeW62ycEEzWLA3fUNMG3wOtBEqSJsjc587Kj0wq1YwpVrg4BbojCIgSQZSkwE4Ew1jQjwW9BBfzhCHNep+3vm6J73xthxv3JmyY9hgMm7S7AWHkM4o8wlC7axYpklgghMDXCcvzT60/c3TjezbueJUZ9tsfqDX+7sfK/Z0CfGlpheV2D4H4ns/dfvevffqzX5ztd9tpdR5InfnbtmBPafGloKc8ep7iTCfg3P0N7n+yx0ev7fKOVw94/S1DZqZ8wlHAKPYII48o1kQp0ONEESdpwiYpAG5sytymqCkTwqZBpavj0NrgewmBH1EPQlr1AQkDvviI5M+/PMVTxycRUcDOacumKcu6KcXcjM/GdZLNcxHbN3Y4Pd/l9z/dJB7V2bpVMNXSTDRhohEhvJDOoMlUyyKEwFqIYslMoIhNTDfy6fYTljuKs/N1rtrd4kf+0Qq/+hcBJ+ebaBWlN4YmjmsMQ8nG2YAbL+tw7e4eT588y19+pc7tD09xrl2nGShaPjQ9i68tnnLnWMlUkpWulwGscTddYgSJhTgRzj9PBGHikkSDRDBIYBBb4jjGRCNmawPe8JoV3vWaLi+7JmKy7hFGTZbbAaPIJ4ocEY1iB2wXI7nEmss7SBYXe7S7d67vj7xf27nn5ri9dOZ/esEE9b9DoP+dAnwwGDA71XzL3fc++Nuf/swXJ0aDNpNN5VjCOk2cMYljFZu7F0FiqClBX/n0Y82lUY2/ub/JXU/1edEdPf7V27tcub3D+inFREMTRj5h7BHHBciTDOBGpp0+pH2aGbjTVL+yLlmkYwI/xlMhnUHEfCfiNz5e4/ilaR7ZP4U1PrN1wfp1lnWTgtkJxeyUx4ZZycbZmC1zfWanlvnCo4aHn5ni2q2C6Zak1ZBMNAzNeojwRgSBRiv3+62FJJEMRprBMCI2gu7A0O1ZljoeFxYneMm+Hi++aoUP31GjvqTQMnKAtJo48Qkj1+O5bqrGC/f0eOFlPR58xTlOzkv+9PYpLq00OLMY4CtJ0xP4mQwrJdJcyjOVKjgmj60gNhAZwSiBYQyhsZDEEEdINWLz9IBrd7jrcdOVCRN1TRw7xh5FPnGsUwJShJEmjBVRmjHOssZxItIyZEXc69F97Muzxurf3rH7xuXhcPCpv0tM/p0B/MTxI2zevFF9+MN/edmTTx+cCEdtWg1NkjgdnBhLIt2SmfvbEnQi8JTFjy1BImgowUAJ+jpgkHgshnVuf3iSe58Z0AxG/LM3ttk6G7Nz84CXXN1FC9ciJoSTKxk7GCtcG1v6ELjEkRLOM7fEIGOePi556IDmMw+0ePpUizBu0NKKubplpmmZbljng09oZiY1s1OCjTMxm+cGbJpb5q6nRrzvM+vZNKWZm4CJpmKiKWg1YurBiHsPKYahxms6UFkrCGNJTSuu3zvg/ienXOHTIGGl47GwEnBxYZofedNFziwscv9jc3gSEBEGcgCNQklvoJlu1ZiaaPLivX1ecW2f73rVPAdOGz77QI0HDtQ5dKxJLDSjkaIfKZSQCCHGAs80J2ANsbFYY/BEwqQfUiPixTf02LVpyNZ1Ee9+/Yi6L2nWPcKwQbvrpyupTglH5V57xtgVcMeC2IjUxREkRrPU6dG+776JYycuXfatb36HOnz4SHL55Zf9/QH4oYPP0GxO+k88/vD3aWX+27C/wkTTJ47JrToXsYOU1qXdY5xESCw6Bk8KPGMJYktNCRqJYGRgmHgMEo9+UqPbTfi1D09j44gNc0Ou2j5kdjLmHa8esH19SBSJVG9LKDE3+aphEFLwsTvrPHG0idCak+canL3YoFZXTAaCqaZlomaYqEGrLphsKCZaiumWZnYK1k3FbJgdsmV9h8Su8LGvTjDoNbl8q2WioWg1JK26oVWL8byQL9xfY9SXeOtdt2gmUZp1xRteNODuRw29kaQ3SOj0NStdzYXFBlfuavGOl3V45OkGJ5daKGmAKNXLHlHi3KRhKOkNNe2eT6veoFkfceXWITfvG3L6UpsT51fQXsLjxzQf/UoDoVzhGuPzB60BDFhLFCbs2BDzrlcPWDeRsG+HZcMsJLHHKGwRxx7LHY84UkSJTuMgx9Rx4oDtYqIU2LFwcVIK6jh2EtJ9XxBGksX2ErWJ6L899NDD/T17dn1w/4H94ZVXXPn3A+AnT53mwsX5vRfOn/2dRx55SColqAWKSFlUbFCJ812Vsug0gFHSoo1Ax04nRonFSyBWgiCx1IwlTgShsYSJYGQko0QSGo/IwHxvgq88YbAkfPIBN7IBa9Ijy+KlFpnIKhIlUiniSCONxtOSVgC75ixNz9AIDI0AGoGgWZe06k4OTbYk0xMwOxkzNz1i81yXhGV+469r3PPkevbMwnQjZe+GpFWPadRDmo0B9XqDQEmUTDU4Tg5EkcdwIBiMErojRW9o6A6Ma5lr+py5OMlLrxrxL995kV//qObUSoAQBmsjTGKJYo8wkgxHroy1NdA0az6Neo1G0KAWRLTqITdeHuJ7ETddHvPu1/TRKk6TQAYhbFWUp5LOGIkQksBTgM9wpFlc1q5uJ8linvSIZREDxemRyBzQUbwGsBORkl9m7TrX5uGHH5Jaq9+J4+FXh8PhU38X2PxfBvgnPvFJhPTqhw8fedvRo4eFtQKlJF5qWUjhwBwr64AunZuilQN6/py43sfYFGwflyN7I4qvjSA0kthKEqOJTECS2l7lR56lFKCFcJlKBbW6paYtNZUQeBBoqPmWeiCo+5JGXdKoaQfwpmCqZZiZiJmdGrF+psfm9Yu87zOGD92+gW1TinUtw0RT0Woomg1o1BNa9Yjzi4aj5wNqvjsHkFX6CYahZtdGw8Z1QzpDn8HQpiwuWelqWvUarcYU737NJY6dv8AffmoLWmoshsQkxMYSxZpRqBiEriiqX5M0hpp64FEPEtpdF2P4XuISZl6Clq5RQsokr/sRIq1bcWcsBbmgbdIqS+PimiSRGCOJTRHvOPBmAb7INXY8xthxkoE7DWRTkEcp4RnjvPuD+58USTR82/YdO49+/nOfGrzxTf9rHvn/MsDXz2q/05n/6fbK/E9jQul7KvW5JUJYEiVIEotKDEkOdNdLqBNLbEDnOj1NPhhb6PYs85a/LirlnJcr8kCprLmh5NgI0NKgJWlNC3hK4GnrfGMtqAWSmi+pB4p6TdGqS1oNy2QzYaoVMzMxYt10n+0bFnng0IgP37mZ6VrAhpZhoiEcuOuSZs3QrMW0GiMeOAiPH2hw2ZxNdW+RNh+MFDfts1y+fcCDT03RH1kGw4TeQKcg92jU6tRrU3zHy5d4/NAl7t+/EazCmMSVw8aWOLJ5PclgpGkMLfWaouYbAt8j8BMCbdA6wdOuxFgp1zAipSsNRrj2kowWiuDclRCbzJEymf1asmIzYKfMXHxNSWenQM/B7a53nB/ueloD7c5Anjpz/ucTEfi1WuOXgfB5A3gU9mQ4Gv7iHZ//i38b9s/7raZOEysgpUBJ4cAqXYCZqAzoKWCVRRuXYHAnzmIS8tdJlnGzWebNYtJMXJassNZSyrxXVtyi5JY0uE0zlopS0ZbL/gW+ohYo6oGgURe06paJRsJkM2aqNWJ2csDmuWXuPzjgF/94A6fOTLF7nWGqARN1RbOuaNagWUuo1yJ8b0h7aFFS4SmLlMU7cxdcEsU+E/WIfmzop3XW/WFCty9p1xWNbkAtaLFzY8QvfV+bX/gTydf2b8CiMNaQJIY4iQljQxgphqFiEEjqI0XNlwS+JfAVgTZ4nvP7tbIO4MoBXKUyRQhbbdBNU/s2JRGb1rIkKeATUzw7MpLpsygAnr7Ovh9nwDYZwLNV26QJJ3f9Dx0+7YdJ8JM/+P3f7XW6/f840Wr8rdP5f2uAD/odoij+5SMH7v43/c7J2mTLFelE6dKjUumhEkEiBbFKgawEJrEpgNNMmsq+Fu5Dpqyd24sGrLGuizwtAS0fjAE8ld25HamEA7dSThLptBXN05LAdwOAaoEbyVAPLM2aodVImGhETLZCZiYGbJ5b4f4DfX7hg+s4eGqGHTPOYWnVJc2GdOxdtzRqCY1aRJSE/NkdLaRSeNKiRGETGpst4R7f/bplbns4pBsG9FOA9waKbk/RDjQ1PyDwJti3Lea//MAiP/dBwX1PbcBYSWJcWj2KXaHZKDSMaq7cNQgENU8Q+C6z6WubZ2y1MkjlXKwsJ5EDvEh5AkXziTUidVvSQD4DcDp1wOTJNVJ2J19x89W59BxnxJaYlODSuqHY1bo8tf947TOfv/P/eNtbXitW2p2fmZr8203P+lsDfOHSUbD2xaePP1LHjKj5GiEMMpbpzA5nCSZjQE/y9HAGbnKwmxJDu9fkgHe2n01Zm6zcGTv2vjKAZzUYWSYvY2+ts7oTiedJV7/hC2qBm3nSCBKadQfuiWbI1MSAuak2Dxzo84sfmOHpk+vYOi2YbZakSU3TrLn6lXotph6EeN6Is4vTeEqgpEltuSLITBJJHCs2TVviOKIT1dJOGcNgmNAdSup9Rc338L0anp7kiq0x/+X75/nZP4L7n1lPYqQDeGKJ4iRlcsMoMNRCydBXuQTzPPB06lwp6QJ+SSpTcLX3ojiHZdKwNs0Em5TVM3mYJoeybHGSlL5vCslZANvmK3EZ2Ikpqj2jtO5lMBxx1z0P1vft3fliKf/2O078PwZ4f2QRkmbYOxw8ft+HPBsv43uuxgFcIkUKgTIQy9Q9SYGeL2HSMXWiKZamCrAzGWJzoNtMjmSvn+X9SVEUUUlZSCWXtpZpo0QmT6DmQeAb6jVLPXD6uVGPmGiETDUHrJtu8/DhIT/3/mmePDnH5inFXNMwWRe0apJGTdGoC+o1d3O4VH/I/fsFvaFPTZHeZE6DZ00IiRFEsaZZU7zk6i4PPD1BP3IyZTBK6A8U3UAR+Arf81P9PMWV2wy/8kOX+Kk/gPv2rycyksiYtFm66MEc+ZLAN469vaKOXqvsIJUphYyTaZZ3LZBnSSGbATwFfJI7L6y58po0ljJmbNXOY6qMybM6GFf0Zazk/KU27/uTv/Hf9o43Nt73oU/3f/ifvvl/P8B7gxgp9U8uXjz9kzVvQYd+hDE+rnVA5u1msbFIKZ3+zpYtmZ4EnS1pYJRYm7VLgDY5sIumYKyt6m7hCoqELPVxpuB2AHdtb552TOZ7uE4gPy2wChLqqbxo1UdMtgZMtzo8dmTEz71/msdPrGfjlGauYZisQ7MmaNYVjbqikbN3Qi2IaTWG3PW4z0q7xvR0kSbPAGNSbRolivWzite8oMddDxnXRROaEsglNU9S8zSe9tG6jpSGK7dZ3vNDl/ipP7Dcd3A9kdFEaQWgK3t1TB5EMq8u9LVE67QISwqUzs4N+fvLbsJMqoisKo0iITR+mNKzMaXnfOUtrdbWlsBekFucMXkCcV6/D91BQrI4ePmZk0f/6Me/7y0/+kNvP7giavv+9wL85ImHkMqvnTlyT21CrKBU0y13Ni2DTYEljVuaE5kuV6q4wxMjMIr8rncTmjIZQs7elUBynLlTpGcZuVx7y6yCrtDdWcWgVrj6DG3xPNdYXPMNNT+hXotp1CKatRGtxpCZyTaPHBrx03+wjseObWD9lMf6RsJkw6bgTtm7JqkHjv1rQUwjCInNiG4YIJTEyxg81+AiZbe0QCzyaPpDVy4Q1pjOQD5M6PuOwQNfupp4nW1Aa7lmp+VXf/QiP/F7hvsObCAymlEiCBOTsrigFhkCz+J7rndVp3GHVq5E2LUBuvPkZIoorYDurOY3ZjnWGQN3TkIlYiqDu4irUpAn5KSWM7gpgs5Mo1sEly4tcubU0e985umnjo5G0c/+b2XwC+fP0pjcvGP/Q++7qsE8SdLAWIGUFi0tpMVUsQBpcG6JtLkmyxyRfBlLtZvJl+3yCRMlpiiykra8ZmasXQ4qs+U2rXFRaTClddoZlBYhZdWDNS9JdXNEvTZieqLPZLPL/ftjfuZ963j02AbmJjVz9YTJmqWVgrtec3ZiBu56kFDzYyaaIftPWO58pIkvJZ4yaRBXeBTZ8h0lithoXnljxGW7exw9VWeuQdHnOEroD1MW1gqtizY+ISxX74Bf+eEFfvYPDF99eo5hVHfJsNjSSLVs4OFArrPVy6QSRSJVkq9wSooSwEUJ5KzSKwXIbRXgeYVisfKutTKX6/NzXOSs7sBtrCOkVqB45IlF/OCJa3/hJ39wx5mzZ09u3fKNb3f4DQN8ceEC9cbkzpPHHvzvZ88P3jLsJExN6JxRUAZK0iCziIxM7T9bLl9dvaRl/rDNPe0xl2SVW5Iy9zi4hUUqKjUvWqWsrS2+NnieIfAMgR9T82NqQUijNmJmss9yt8/dT8Gv/PlGnjiyjnUpuKfqllZd0KyJ3Ct3zotx7O07gNeDEWGSMBzUqCl3k0khKpV8WSLFBZraaXk9YhRaBpEoAdzg+wm+p/E8iVYq71XNspDX7RL8yo8u82t/EXPfgVnOtScYNiVTiaUVW2rpxIHAs6n3nzkpNmfvTKpkAM/fb/qmyzjPFWJ6UbJVtQB3VVK6ak7y3EV2Aziys6VVvfi3SeL+nhAQeAJtB5jR8lvu+urXkptuvO7/OHv23IktWzb/3QJ80DlOMqrf3F185m1h9wDNui4lCjK7ySUGVFauKjMbKQV5ZimlQHfLtU1PgCidmKrmKx5VVZhdBDfuIWPvrBTXloYDubJYT5t0zESSgzvwU3DP9JhfHvCeP2vwqa/NsdCbZm5SMldLwV1zuruRBpb1QNIIbMrgTnvXghAI+fJjPsuRz2xApR4bUV2hksQ1P0wEmlff0Of+gyHdKGAy71g3+CNXq+5rB3CtLEp6COkSNFi4Ypvk1/9Vh8/eP+CXP7CBMwvTDKY0U76gFRsaMQSRG73sKzfQyMsCTSnyIDh7Lgfq5RtTiLxXJL8+MCYhy8AuxU+V2KochJaAbmyV8MBJzsgI7nvoIK3Jubcpr/Fnvf7gxN8pg8dRD6Ubl188fde/jrqPMDtlEDLOpyllDJtnvqRzUUya9TI5O4tcc+fPuQSxFWlSYe2yLElPdMYsxZiJrPw2Bbhyskmn2TtPu3knvpfgezE1PyLwI1r1AVr3uevxhD/63ASfuWc9oZlg/YRgXc3JEmcBZj65Sg+RMneZvSO0HnHvM1P0Q82mRvZ+xhm8ODdRrKh5ihdfOSA2DuCDSLiu9axzfWRccKhFyuLuRs6G21kE66YE3/mqHq3gHB/43IC7n5nlQlSnX5NMxJamtg7kOo1DlE3jEpuCPDuHoqgdl6ltIIoYp/zIpUo2ooKqLi/HUWVg2wzU5eC0BPAysWWNGEmiuP2up9i7b++/ftu3vvTRdrd/eLL19UfCfV2Ad5ZPcv745/GCqc2dxYOvsMkSjZpzTSp1OiWw5uldU3JI8pSvqMqRTGtTaO0C2CXroWxfCTsmTbKsHGlnPvnkq4y5PeVqMQIvwvcjal5IozHE9/v8+e2a9/7P9Rydn8ELamxsCWaChInA0gygmXbY1wOX7aylCSFXv5KkK4GTJwudhF7o4yuFL20eYFL6KNmNndVuhLFH3RuycWrASr/FIBLpuDUXK3hektp8KrU7lQN4JXB1lY9veVmPm66a51f+dMiHvjDHUtykH3g0PcmEdjU4gQZfkTdD6Czpk658MpcqRQKoTCpVsVIGOpUVuAr2sjZnTXDnjdFjK7f7bYrlS23ufXD/K0Zhsnl+sX344OFT7Lt8+/8awK1NWLflVTtXFp5+3/L8M/g+CBFXGRaRZrrWAHn+TOnviBLjZyekDG4xJk2yD2oLNkmzb7IMcGnd8KAKcycpyGN87SRJ4I8IvAEnLsb84WebfOKrsxy7OM1Ew2OmBtNBQiuwaeo9A7dMwS3zpFAt1d6B726cieaIj9+rOXyyTi2dwJW3i1GgPB/jYJ0Oj2LNFTvg227q8kefn6XX0Eyks0eCMI0blEFrmU74ogRyr3Sx3KqwfZ3kZ/5pn2t3neEPPjPDsQuTLMV1+p6mqQSNFOi+tO7GSV2mfPXLzmtmH+L0eZHptKt98gwPWelE7puvthRtWY5ktURjlmN59bbZ1ReaBx45wMtuvup973zzS9+4uNT5ulLlOQFu7RAI6C7eszUZPLyn5l1ESp2za35Uvs4unnT1C7YAd17bYETl72f/HstYEJPRtq3owAzY7jkbpezA7VyTjL0TPB27zh0dEwQjfD2im4T8zkd8PvDZjZxdnMKoOjOTihnfMukbGilzN/L0vUzrVFJpknrnObh9l70cRSGHzwT0woDpIHVxsqRT5kpkWVhbqkmJNBNNza6tISoY0g1bDHxBPXJj0fxUXnmpRNGZ6yHUswSvirnJPj/ylj5ve+UFPvDZDn/4sVkWBk0GukZNKxpaUFeu/t5Pu32UFGl2k3Q1tGszOWvIlXGHpQTOKsBFBcjVQ1QAbir/VoBQHD7b5fNfPbAnpLb1nW+68cS5+ZjNc88O4+cE+PlL57Fick5G4iN+fJs3M6ndxk9GluSGzE+sKYHejUQrsXrp5yYDc/qzgrEFds13Ykt2oM2BXZEnMq2SU4kDuE7QKsH3Imp+iO+FtIch9z4h+fPbJ/jYV2cZJi1832fWF0z5hqZvaQSWhl+AuxZIgkASpNLEJYZSZyIFuO+5zOfx85a7H24QRh5B064KMLNHkc52pahhpPA8zWtu6vLhL/Y4eKbJoOZGM4w8ix+DFxm80KCUdL61dANJ8+E+FOczMZLYSBqBZsPUgJ/4jj5Xbh/xodtbPLR/kvlBk6Hy8TxNTQvqEoJswFJmr0qbDj2lBPJqzcp4cVaZ0TOCykCaf+4xcNsxBh9n9cS6+pfEQmghTDT/87MPeN/1lms/kkTzLyDuzf+tGbxZ2yjvuH//zZ/90h2T3//qFV5wmUevXydJtKsNthJrZPqGUnCvArosae1qKWYmS/Ja5BKDVwp/XI+OY/I8pWxyF8fpbotWiQO4SnI5onVEuxdxz1OCP/78BLc/MslSu4Ws12jVFVOeZcI3NDxLw7fUfVLWdsxdDyQ1X1HzBTWftELPpOA2BJ7T30qPOHQGzrZrLrGS6ttq4qSon3F9kGkpqZGEoWbDhODybQOePBXTjzxG6YxvP8SBT2WTdbNEDcixzpzCpUrlT+Lqw9/1mgGvf9EyX3q0y598YYKH9k+w2G3Qlj49X+MrgS8FgcT1cEq3S50SxU2qRFr2uwaDr6pfGWfyDMxloLNaoiSZw2Qhtq5PNLJZn4DBDofcuOcCM3x4Mhm8/eaZ6Rd+nucYHvScAH/s0PkgisTvfeJLl5pm0ODXfrxDI4Aw8kiUwhiVAjgLKiXlOuIc4JRAbTIdWgI4Y5IkP2tlaWIpF+g7WZIO7JTGTcOSCX7mZsiI+W7MXQ9rPndPi0/dPcmlThNRq+G1PCY0THquk6fukcoOqPsiPWRacprqbl8QZOydAVzH+H5MzQ+xNuLLjwScPF9n3YzAkybVsaJo9C2xna2UmyoGI48dGwSvuaHPJ74W0os8BpGg5rl+VT+GUWRLq5TK/WqErMgUm66seaOCcX57PRjxrlcN+JabFvnkV7t89p4Gdz3R4lK7wUD4DHyN9hRaCNdCKCWesKnUsihESRpW7cM1yLzC3NmzRaxi68RCAjmojRXuGZvObDdgYohDWqrHj7y5zc7ZI00Bvyfi41cCg78VwB984gEWFvosnVjkqwSceHuba3cPoZ+QGI21pSbfTHeXZEsGfMfOoijWsSIHswN6ySZJT1F5GRQlYAthUjvQILJZhjrB1xG1WsRwlHDwLJw4p/jLOyb5/EMTXFpugldDT3g0lKTlWVraUPcsdQ9qngN3zXMzCV2ZqSwdIv25TUFucpD7nmtPO3rO8OTxADwvXeZtKUUvKigoB2FJ1t2SuHHO1+wacdXWHgfONhjUBI1YEESWkSK19kzK3pmbklmQhVbJffbMpjUqnT7gMQw96vUR3/uGEW9+yQq3Pdzjr77Y4MS5GgfONghXAuJAM9QaqdKpvoBOnzMmz6ULRfC/isnLbkoG7Iy1KUsQSsxuXV2TtWDT5gIbu2MYsfvyAa986YjWxAUuLDwxFaz77n+y1DF/NDOxdsXhswI8GR0XUdj713fc/l/X/fN3XmR2OqFeA+mFNCdjklAThjoFuCrYOpUslGULkiLdXsiX8okonxohimeRdZtkrC1MustDQhC4SapxknBhEe74iubomTp3PlDn7HKdo+eaEASohqamFU1taWrjXATPDc6veW5cmwNxdsj0UCnASTV3Cm4vIfAce7sbK+T4POw/0cCTVXswlygU9eB5IJUnwdK+xtjjqh0DLl/f56ljMf3YoxUJRhr8tE5alQAupUBIWWFyKLGjKcmgROZ9lFHiMfJ8Juoh3/26ES+7tsPZ5Q5fftDn2OmA2x5pcG6xRjLwMFIT+QohpVsp0q58SZrxhFy2ZIQ07qxksqwSOFJkO/O7Mm98Ng7c2XOYuN42YgajhA/fXmPdhOXYpcNTP/Y9vX/pe9EHxn7t1wf4yoUvgI2+8xXXnGm+YN8Kf/DRFj/zW5O87tYhV+yM2DJj2LNzSM0KkkildqAqMbmk4rTYot8v09vZPT/mqJYi9oK1cymiErwgIUosx04LnjymuOOBBk8d93nmeJ3OKGAUBuD5qAmPQAkaChraUC/5wIHO6jSysllXFx6kssT3Fb4v0xvAFtrbS1xm0XM6v+ZHWBNycUkysgFaS3xp0SWbbYzAc5AnttrvGMYeAs3cTIhUQ3qRR18L53RERcGYm6VezjyWjXZZKmuVBZOXBiN5icrHT/RHPhunQ7ZviLhx94hBOOCfHW/z1AmfO+6v8eTxGsdO1YhiBYHCSjd6LZGlbFBO38+iVcTYB88AnTE12TzztL42A3uUoG3Cnl0RW2ZirtgZ8rqXDnnqsMd7/2CKrllmZG/D08++YfeaAH/q8T9nqbusNjUeEt1wyB99ssXv/uUkCz3FVx5rMOkZtm+NuOaKkNfdNOLV14dgwdMx9abFmvRDG0EcObBngWQmV8YapNLaKffhhXR1IwiDkJYotPSHjtFPnJH8xe0B/Ujx2DM1jpwOWOj5jBIftA/KQ00ofCmoK2goS03hxpmptPBIOdb2PeGSHmVwexI/lSWBD4FP6pq4lLmnDb4XpxnRiHot5NJywh33tWh3A6YnBTr14rOir/Hrnl9rUwoIjWQ0UqybVbz+JUNue2jAqXaTgSedTNHgxRYvyjzr1GOXibMLKc86kfnvMFaXfocDup8oEq2IPTf2IYo8Z6V6EU0/4mXXxLz4yhFvfcWQQ6clj+/3GISKD93R4PgFD4SkP9AkocrKN7E6A/iYZZQBvALsjNYNIrEIk8oSY6k3YzzPIDC8+voRr7tpyNX7InZsjZn0LOumLK9+4YgoEvzOJ+p86YED4kfffrn62Gc/Er/9W9/5jQHcDVqc/p0v3du57vc+NsWBkw06Iw2B21dy3hiOL1nueyrhI3fEzM3EWGO5YW/Iu147TEseLXOThuuvCWnW0tXHinwJW33NRT6cp90XPP6EZrEjqdckD+z3+PRXawwjxTBSnL/gY4Qmsh5GeKA1ItBoKfGVoCYttRTYgbIEyroacJ16vrpgbj/ry8zBrdIeTZGzt+8ZfD8r0Epy9vb9CKVCvvKo4hNfa6F87ey2iv5+dgbPvPAkyRwPxXDo8eZbBnzq3g4f+vIkvbhGM9XhXqbDs+1eUnvU1YzIHGDuV8mS1i8B3KQDeLRjck8rYq3RceKArhKUcoP0p2sxt+yLecm+CCtGvONVfYaRG+f2N18NeHC/Tz0QLHQUjz/l0+nLVCWJNa9wkQRw0qRZM1x/fci6qcTVhieWd712yPWXR1gDc9OWmSkX3ArhguZoCFOe5Se+q8+33nKKT9wrr7t823W/g+BHviEGv7TYYW6mNfHzv/WxfR/6y83qyHzfuf5BCk3llhNjDCNruNgxXFxx2unQKcOnv+KoySaGyWnDzdeFtOquJnjN9GT5Nk9dh5We4qEnfTpthdTSzUSx2jGT0K7hU2qQGiklnhQOzNISSIMvHRB8Bb4qZvQ5kIui4UG7RoCs8bgMbsfwaVmtlzF4UjpiAh1hbcjZBZ9wVCOYlPhp2lulVXmVLKagIK9SRjfvTjeKMPKYbim2rQvxxZBBHDCIBXXthmBmNSRZQkvJcnmrzH+X+x2Zw2WKBJwxac9kIY3iOEnzBird/ygmihNU5HIJWiVIGbN1nUlXDMOV24eEdoDUhnZb8NCTmpW+ROWKpRpUl8kc6+rCmzXLi6+LmJw22Nit7HUFypXPOckbS0IjC4cuu30FvGC34crtPaWnOvumtnz/hImXO1JPPzfAL1xcYGlp+VcPHzz9quWhpdFsEma1AqTzta0BmUa5pYg3tpa2TfWUsnRWLOe/UnZG1wJ4Wb+lF0cITDa0kLTmVKgiyJEytbIyUKdpZ0m6cWvmG5eeddpJr0i33iMHt2vrUvgpuH1NXmLqGDxlcW3w0+yo50UEQcTpBcOf3tYE7eNJUQSYuTwRqxi87A9nQ0Id2NxgnTDyePfrB3zyrgHPXGzRSzwasduU1lUB2qITR2U5gXKwl5UuZlJIlgq8ssPktTBaK7zEzUvxUqArWSTNXN14+lqYdHBQghYWYRPWNQzf+lIDIsmL7xDZ/hl29fXOISGwRmOiIj6LI0lkS5nwzKAwMnVi0tjCpIQQKkR07lW6depXrY1X7W61CuCf+NQdKCX8pYvnmK1ZhollkAhCm86+sJBYlXqbqUeZ66rS6/TsJpXdnO3Y5y1deSHITKdy8CKkzFvQlABPuLRyIFy1oCfd11qS1lSk3eNZIZGmNAeFdGe2oqu+ALjMZUvg27ylzfdNaXBOjJeyt68jpAw5eUEw36khtCaQVORJnp4vWWgVR6FU2lAEgoow9pidGLFj44ADF0YMEs0wgSAReInFi1MdHpM7S8VpVJVOhcylcpN2swYDUZJGBp0YEiVROtu+XKXFakm6X1JxCGlQKchF9rsxY1auzYGeOWAFBPJiZ/ecmw/l3Egap9nCejZlK7rk7Q9CxbCzyGL3i2733q8H8CcPnEIIQa8/oKZdckVLiIw7suxSbCBB5GB3F67QV5XF6bmkiRBuWc2W8tyCyjxX0AI8YfFECtpUAmSv8++lZF+UgpI32PpKOLBXwC3ds58BPQs+U3Bn3T/a5BLF006f+n5ETMRn761zcb6ON6nwyzUcZQeFMUVa0uDlysss6TMcuQm2b7q1x71PDOnENfpaU48NYZpOz7ZczOvgU7ep6BzKAs2ivsNZh+lMFYsbymQE2ghiJdCJTHexc7U8cQr0Iplm8gSbLO2Il+UmKgDPC+MyRl/78lsrKs+5xZyaFAXAs7xKOXmVzkOMhsTdY6ylECoA/+MP385Eq/7SD3/8zpv6Q6fvfAEicWlbT6aTQa3FSPIMVJ55Khde8eyiJPu8mTcs02eVPQuLhtxqU2nK2M03KTSuyoAt3X7y2SiEMrDzOSgK14+4FsCzgDPT3TqTJTbV29Vact+L8L2QC23DI0fqoH10Kk90qUApy/aJMYQ7lipV3eV9qTL3xKPI44bLRsxODWgvN+jHioYCL3afRSXWHVEZ4DiQ579IjlVqirRvMmVDZUiMwDOCREkSZUiUIE5BXi5ey8ohZAbyDNSlCVkCx+pFSXPO06trV8o3e7kWKX02YxZzVg5isvHY6XkyVuDpkOakuGndlte+9OzRl96zZc+b1gb4YBRhjP1WsNcncYjvecTWXbA4ESjrgG4yD5eiKTjLUGUXLePvZ1PdZYCLdIZhmbmzkWuqBPKMsXRWG5HWgGelnq65OOtUcbJE5d0rBbCz5lvH3qnm1uR6O7MEHWMX4Pby6sQIQcRnvhpw71MtZKDxpXDzt/MKwqKNrqj4G89mli5cPgNQkRjFYOjxkqsHfNvLuvzhZ1qESUAvkdQSyygmXbnKVX8mlXNm7IZ6NiYHo2XeaZWBO1ESpYxjdCnT0RKmVIpcrgGyBcjXYPBCNpVQUJErY+ckZ/Mi452zd156LUsBcnrekpgk5npr+t+Kje5Zk8FPnDzD1GTr9R/+6zv+6fLSPM2acnehETngEuOGZ+btRxRLbYWV8je/9tJUKX3NMpYUYMhTwBnIS6MNMuZ2W5BkX5MyOHkbVoXF024YT1XB7cYpjDF32rPpp+1tns4aDuLSERES8VdfniCxASrPXpYDzKKvMXM2KhqcsXY9I90ojSQLNjUCj3e9us+ffXbEiokYJDUGicCLyVlcSouMRV505uzCcS0qi+tULm4ygkSnYxxUCnJtUcbJlWzUnlIyzR7LvDS5sCjL1Z1FGXPelFIC+rOv5wUyCgavypZyUZ9Jg+NiRqIiXFxBt4b/dMflr7tzefHcbdOzm6sAj6KI4XB0WRL194i4S6vuEcZOnghKujjrypDVbhxKM0tWMbeovhSpEV6WJznQx8ozcy0+pjkz0JdneyglCi2eVtxVht2kwNZKFE5Kbge6jnvXmGxT5i4CTF1i78ALeeSI5PC5GlZ5KCnxpUGP12mUBPi4i5IdefteqTkkc1Si2GPP5oirdvf42qE6kfIZxIKaBC+x6Fik8i3twolTHY5EjHdc5YxYHc+RsXnhrrh6FwfutJ1N2RK4s1ogm5YJZExOvnqIErgR2cSs55AppffojIssyCzed7W0ISOCbLi+otMLqU2He5J4dFkcx7etYvB+r401IcKGtOqSUVw0AYMlEQJhqvUUeT0BYwXva1K3zb9bLrcU40AvgVvlNd+F7VZIFuG650UBbhdkirxbXOfglhWAl4f/uG57cmDn2cqcuRN87RI7risowhLx0S83WFysIwLtfPfyTTheg1I+JaXzlTXXluu4c2/aKKJIs25G8s7XdHnkyASjpEZf+dQTp8WzclYlScGdrRUm9cSzNLhj8bLedQGbLd1gpVFrRqJMtiLZ/LUDuEw/p8nb5rIufyFk0RwxzuBjwz1FxnJjLnm5XbEotRXFRK1sym3K4lEiGYaK7kCwuDLi0sISUTjM/8cc4E88/Gm0FnSWujTqPlHPoISbbaLcr8YIkJV5Jc8G7tVflS9yob3HnsuALrN4ZbxYwdiyzOBKlFg8kysSpasA93U6AMjLtg5MM5za4uWpeJO+TiqHVq5z55mT8JHbW4ykj5IqzV5Wb8TxDObat3vJSSn3saYMHieaING883VD/vjzfZ44VidSHn0p8ROTukcCmdjSebKuvUyU11GT/q7qvkVlJk8M6NxCdKOtVVoSoBJbDOvM57KI/IaOx/R4UUc0Xlc0DvA1WLxUMr0qQM71OGkze9EOGSWaBx8+yL0PnarofA1w4uQ5dmzf1PjJ//ybuw4dPA9R4gS8LbRxkY+xY5Hvc7uA2X1a/XBFiWVZez+7RBE5cMbHIcsSY2dBZja1Setsk9dUe6sxcGfpey9rTDZuZkjeIpb1dMbpEaG8kMNnNd3QB6VTeWLHymPHb9wqwqsDjca88LQbp0j8aJqeYN+WIU8cDklMwMD41BJXs61TDa6Em+nnEksZW7pxemWQO5aUpWUfdD7Y1H1PpUObtCHtILJIU0wIyGbhJFl3f24AFMFlHnjmpFbV4qvqc8YlXAnwTkQUDl25SVkKV3w2PWHZtnGRLdt27LrhpT/V+Pf/5of7U9MbHcB7nQucOtF53Y37Nv/UY48cYBS6JTzjAEHKSmWNndG3YO3QwY6BusTeBchdPqcMhALYRR+jKrGiqgzVzEBOUSOtSqDOX6dJHkXqhTtwOwAXQ4G8sjwps7dK+zr9kKWu4X/8dYvFQQ0ReE6eSFtZVYrBOV9Hc+Y1RyLNkZUZ3DkqcayZaGh+/Nu7fOmRCRZHPqHUDKTET3soi5EPKYOndT2kujgro7WYFNymUsKcNR7odNpUFqRnYFdSpAxu01U9c1HIZUqhw4t2wkKmZIFndj5s9dysdZLGVEEO8lKpgxCufLiuoNUw9AaWlcFlP/XM/sP3xNHgkzmDd5YeZ9QLaPmHaU0OOX+yyXQ9rXNIk4tZDY0dewPP+SgDuvz1GLsVGlwUIJfjEqU6mCYHthTpJrPjAHc2l04lic4BnmlukweVnjY5uD2d1V9U2dtTEb4f8pdf9nj6aB2kh5SSICuNLVmb+R7x6Yd81mrCEpvnrVslmRIbmW7y5HHNnj5veVmHP/58DaMDBtInkCJP+igpiEoB3TiTizKTjzWK51JFgbJuVTDWzbbJZjsqU2w/465BMYummEzr+jiFrAI8c8TKxEYF8N/go5QIz3Ak07EXk82QY2cHPHDsCNu3S6LI6XAN8OQpQb0mefwAPHMGRDr3WUDexTHOwF8X21n8kOvQ0uCEFAyMzRYsL+9Zu1fO5jlDfj2AywLgqlRDrdO6FI9ciniqcEu80nCgQnM79va0m1q13Db8zVdaLLQDqKXuiSgFY88iUbLPuYqd1rLtMsvQSJfUSBRRrJmeUPyjV/X51L1DFnsBodIMEpnakyJ1b0TRjC0LtsyAbW3R9WNyNi+af3XmrKj0dToN2KTjr7PzXga5kKLUfZ8N8Ux1d67Hq2xOuspUCXCsxvRZgFZeAaRwhcEq7RfYu6PHjj1dZuZGJPHIAfzuhw+zZeP0zo9+9sF/+fE7uox6deZaphrslWXE+G8fC6JyXJe/vxZzIyoMXmHvyslKEycVYFdnf5c7XNxwd6rgznY2yJhblZh7FYNn4yaKkRNauczl8ROCQydrGAKE1HlzblE9WI4fRMnVKE5IuRalYHJRkicidzLydrNEg9VcsSNkz6Yhiwfq2MR3LJ44maJLLk4R3JULvVLBnZXRQlo7JErBJ5g8z0EltlHG4cBIUu2dXZeCjHJwG5GzdgHurLXO5uUEBZ7sKhIQYzBjHD+ZQk5Xm8FIMzfZYmryIpObbviX9dnXPDbsPHVCK5sQDkcbG9q8XgwX2DTlp9OOyGdkSCnGAD7m6woqmnvcMck/jCi/SZHvKFAZWl+RJ6LkTIhSsFkA2jE46Sjgsg9ePtItrVUZ3CWQp/vVe2lpaMbeKv1a6wilIj77tRaHF+rgF/LEK1mXlRuW1eMixh/VEcSlzF15d7OsjDbU7F4X8qaX9HnwmQYYjzhxWtxL0muVVKVSDqycHTPbULqkXHmsR/Zapq9luqrI7HDnPklXDClSVjfZCmtzYsoTPjI7D1lL3XhXvq2s7lWFMO66FK9zEgRiJMTuk8VJi3a3z85J/XqvFW2MQk7ohu/auGYabi92pYtlJfebS10pxTKzeiVZ6w2tmt+9yl0QuQc+HqDJ/HevBnbO5kqUmnBL4E7nExbbdrAa2LoYEJSPeNMmBXns5ImKqDdCvnZQ8cmvNBkMfWhotBR4oipNxt9/mXHWBDhj+nvMMiz74lGsmWxp3vrKIZ+/t88DB31s02OQBPiC/EZT+e8v2LO0ruYgtxUoFTNsrHJsnkinx02JtbOg3qTBpTSipL9FKdBNSco4qi0kbgr+HMyZnbl6xS+DPq89TM+ryfBiBTIdDRgbt6vfcNhgqhNQm1aEQ42OoogwjDAmIfDc5P9sdO24Jh4HePWuE2u+0fG//2zyRK7xOpciogC1VKXdG5RIa1MKcBcgz8pmLVoXI5R1ugmTVlWgezlbu0MpF2D6fkgUJnz+vgbPnGqA5yGkSkGVzg0pBZdCjt3IjJ23FNlFAiNNllXG3GXloTL3xJPENXlfuT3mDbf2ePxEnVHsk0iPgVH4CWPvpQQeVoPcjr0XVHazGYwSqMyxkAKrXPl/psfzFVW6zHZ+bUyxauQj68aPcQyJkuPzLES5Cj/pZzM2+50q/6yj0BLHBhNHJEmM/ou/+gxaa1ZWOviedq6JfZY3JUqM/CxypApwscabWwvkJYCXAF2weLEDQSFNSlZhztgZwIvJqblESZnbMbbNmVrnz8VrLw0utYoI/JCnTgpuu7dBf+BD00OKrHKQkj24RhYzv4Clk5Qxd57WLCbrjpfPFoVFKu/2abVC3nDLiE/dNeTxYwFon6GR+KkWVwZUQqkuBERSyAOSsQyiKpwcrSiki3Rsnq0qWZBvrAO7NEWiTZiym5JeV1Ni9nJckGvxMi5ERZKMW4irMVT8PzK9QXJcSs2p449w8fxhrEnQ80tLSCkYDaOKBi4YXFRAzlrPZTCP/bwsVcZvlPGvczmSB5XjDO70djmbqVRaYZhWFLp2rvS1Ls8HHwN3enjZFNq0wF+r2B06wvMiYpvwmXvq3P1UHWoapGto9kolvJXS2PJR/mItibIqIyzy3cgzRyUxsgL00dDjFdf0edNL+zx9skYce1ihGAiNl5C/J5EULF68hbWZvDzEXqmMuR2bu6/dljSZDs/9/ozRs9U2ZfB8aKcQz0GU2dclHV7CU4GbzIobY/Cx2qUCa4J+r02v3wNAH7no9JjGMCFdgqdgz7VButZyshbYx4FeiZ4FSES+aVT1hIwBuyJVymn60qHGwK1Khy42Qc0A7ZVAnTknzjFxz0pF+F7EYyckH/lyC/BBegih8i4ilW6kKledaJGf7PTSjQGMoiaFMnOXNHhaNWdUOvoh3ydeY63mXa8ecMd9Qx466iYJREbRT0Ra8JWCLsmYrTQhrLi9nHix1rF4CejZT1UKeiPT/XyyoDjT3jJlc+Ge82tosnNRbfzIZ41nLJyx97h0yYAtciU+xvqlYDULZNP342vYtL5Hq+l2itAbmu5fm1hgE5fqLt6UqGjv8V9UDgTGl5FVN0T6ZjNnYVx3F79PpMmCwnrKAJ7PySuDPG1NKzabcjs7FAPwC3BXWLv0nDXWZlJFqRjPi4mSmDsfqPPkkTp4HkgXXPrClibHlgOr6iZOVfKuQsuWXuSlxqUakUp1YSIxKnVUEs0o9Lh6z5BX3OxYfJA4Fh8Jn6EBnYhCHiSZXZgmNpLSTcZYBWjJulQSrLJIK1AWl/20AmEFVmQBXuaiULILx1b/EtirWesxZ64E+hzYY0S6JtbSAkCZ2ppSCNq9BqNIY4xFz064Jt4oFAyHrry03ChbZeyxXwqUrZ/KMiPcacv94JLeKjRU8X03pam8R8xY/Ykg33sn3704a76tNDwUW5coNQbu0lD83D1RCUqXAJ5KFF9HHD4v+JPPtxhFHjS8VJ6Qt6ap8i7B2UpXWioremWVPqkCvSxTypsDVIv8My2uaQaS73lDn8/c3eTgWXfzJUbRT5SrMkzS5A/CXaMkXdbHVhKbAb0EcGkLLS5TjS6NxabXyErhAG5KsVLG5BngxmzTjNlzHFRyKwVbryWDx/V44cxl5QgOfzKxxLHE4KM9H2sN6n/85q9vqNW8/3rmzOkrsn7FvCJPlrRvFtiJNXxoUdLL5e/LIsNYlRvln8nUDUnHAqfjgXPgjh3ZyISyx50/60J3OwelCu7yXj1FMVW6+4OO8mYGT4ckMuSPP93gz26bgiAAVUMpTUNZ6sqm4yjIG5y9UmtckUktJ6IkxWRYKgFqEUsUtmN20wpJ2vhb9EIqaRHWsG1jyNkFycNP+sRCglAYoRDCldKOx0/jrAgi1ySi/LUtiRpb9NgW8qVUJk355nRFAeUShMpktvKNbMrfqw5szeYYWlbPCq+OYC56Wd326IIodlvJ79xzw8a9V936Rb24cG5KmMEb675FCE15O7gxuVZdbNdwU1YFC2NBKrksKUuSsgZPl7oya1fqwG1Fe8scDIUkUSXtrfKdHkobUSk7JkmySsGMvSM8HXHonOTDX2rg5q849s4797PfL6iMFy6aN6qBpih/kQNoDBymfKGLuYLZyARXHioxiSJRqRZPNN/xmj6fuLPB/jMeyBArJMPEQ5PWi2TnOkkvaJIlfjKolqSTdV9bN4Emf28yq9yzIK2TLZnultb9DmtSf9ykAWoln0Hl9dqu2tj3yzdj5aYsMDdudWYJq9EoYupi942D6MyU9mREzTNMNBSJVcTpHuLlTp01H2OuyZraaZU0KT+PJ3Wq+q1SA54mE8r7yBQavNgqMNtZTY2B201kNemzswOVMqjM71YxSsaoVJ4kKubT9zTZf7jQ3lJI533nHTSseQEF41/n3Fjhi+J1tQG54omXGEqbtOFWFin8MNJcedmIN7+0x9EPB4SJAqFJhGYgBDop6jWyCkNB9p5s6R2kciXVS9a6/ls34sFJE2ttqsXTQ9gixS/ASAd8k8mUkg9eBnt5Rcl+virIHIvlGH89dh6LSb3pDsl9y+LyCMMArdJxCkHgghkpIJZujFZWJ5FRTk7ka3nhY+CuDrwZ/4CrEwGVQKUC8IK1s68z1s7AnjF3DnRVZvJCd6ssiMy2OJEGLYuh+UoleF7EsfOK3/34BEPpkU3QKrrm0xWkXANd+hyrEwRrP6rLt8jLjyubB1QabUWlPiUxmjjxCJKYH3tbj7++s8HRcxpUBEYTCY+BEKik5GiUg80xkGfevAW3a3W2wuCyhUoWbC5t5ombCpsb4W4oIwXCFqvHajMhBf5zsHgFX2PPOWunzwY3szM2EEWWMDRubo8Q6EzP+trtUGyQEJt0t6tMqoh0MaveRtU3Up3gVPW5S68lq1iv0twgy2AvN/GWGpBzcJtCosgqg+uKv52CueJ3lw7pWNzTIZ3Q8IefmuDspQCUTq1BmcoTW/G989fjF2r8Jn8uoFOSKnnjQblHM9OdMj/yZgipSGLNlrkRP/SWLr/yJz7tyAUE1kpGRjnbMCkKnUgEhcIuQF786X6i0rvQWlLmdqyesbm1rv4kZ3DrrpN1Ma1TYzmDr7XajSV8xmTLKtYe440Ke6ctd3FiiRJLGBu3Lbix6GbNENYMgW8xo9QekqWPnzLNmuDOf6lYtdSUvfC8FkEWr1eBW5YlSpm1iymtUpbapkQZ0CUm1yZldJNLEydHzCqpolScP2sVoYOIj30m4H0fnWBkPCdPhMrlSd5UPGaJVXS3yM5HRTU+K4sXbFTKaOagz1L2bhZklt3MU/jGbQVe0zE/8o4eh076fODTTouDIhGSoXEBp0zIGbwowMouli0BprArHbgLyWLT2g8lClngSMc6+7CS+HEypkjKiDXBDgXgV9vMpZ8/CzlkTF6UHBvCyDAYJfSHBp13UyfFkpkxLenyMxZjVu+uEluV30zlwo917VR0d1ma5BVphe4ugsx0i+7yloGq7DqYklTJQFxicllUB1af49T3jlhahr/+UoPlUQZuB3BPOu2tRVWeVN5rZpdVbvzV+C5r7Qzk+VJbdhTGt140Y3XiUqKMwhi3Mdikn/C21/b5xD0NFrsKZARGEeH0eN7tI8p2YfkNrs3kLg9UJIWy+pQs2LQpi+eAznT4GvVMQpSrCW2uzRHCFfGugaVVtvQafJHdbNgsy10ceqUrWekKOoN0OSnd2BkoC+1dMHblznqW5WUV2Fd94OcAtqhKkwp7y9WSpPheGdxJhbUL5s5Yu2BvrxHzma/UeODJOqakvV1TQyZPqvUmeWtWib0pfbayFb42iafsmdtnhUQZb4Yo7z2aWImyhS8eJx7axLz4mpBve1GfP/2sDyoEIbFCMDIaJUTePF6AyFK8tZImL/ngKuuRyHR4VjsjS4Vi0snZ8vXLWsrsKnJz2rwqSwqwrwpjKhgrAX+NMyklaCTNumay6bZm1O2eYaVr6HQNtcAW1XCI/PWqX7bW8iHGLjLPAur0A7ltokuyRBaAqbK3zS3CfKPSEsClsuh0xJhrX0p3XJNlcCeFYyJNsRubdO5J4EUcPSX5k8+0uND1XUAi3aB3JSh2bBiLF1bp7vJFeha2qTAP1WV2rWbkyhaNla57t3+Oe3bbn2xoJnzvt/W458mAoxcliAhQGCRDIUubSLlrkIE6tzHLN1yZz/NsZnodymwu3OsMzJlsyVZm97Ns9rvDlZFFdrWQdOVkT7m6sGw72xJZVGM8cKuoTqcGT7Ykky2Bbndj2t2Ibj9GKe1205XkfvQ4m6/2vVezNpQAQHFCVzN3SXPnWnx1r59LwdrVIM9nZI+/TvKhkRmLa1nS3TJBp7ag70eMEsPv/+UEdz9Sd71tUjvtLaXr2hHF/JX8vWYry/hqNcbkZZyXsb46g1m4FsUe7+Xy2XIZrWs3M5mjkhhiqVGx5hU3hvzwuzr84u/7jGLpMlBGEqeuiqvRzt6bTQFUMi6ta0mj9P7c16V5kzbtrrdgZVq2KkV+A9hUaztnpdQAYVNQ29VyJXfgSp1I7ls2j+cKjBU3pkiDXZGWc7jR1zA9YZluGXSceoeJcUPJ3T+UazPVOEN/HeYuV3ytLU/K0qRgb5VLlkyWmFKQaVcxuEqZO5uAWgkuZSFLdDrjOg8uZYznx3z5IY9P3N1gFHpQ17n2ztlbrh7qs6oktiRLyoAup5/H6btc2JTvE1oBN1iVVRlWa8UTI5HGSZUM6HGsqTdi3vaKAbffPeCOh5SzDXGMFQnNICMfUnDkpaYpW8uSNVxaZSylupSUma0k3X2h+DqTJhnQs+trRamyUZBuDb4Wg6+WuqsJNbsxUxJOg+Cs1qkotAPdrEuGNYmnx1PuRVFTDuRxjVT6XvHmqnW9q26QDLz5B7Wrg8pUwqiKTEmDzGwunihp7xzIpsTcJaCXhrnn2lu6KbErPctn7mlw8HzN3f7ClcSKTHsLShOk7Cpwl9uniov1DeiTDNzWXaDMkqse1c11q7XiRY2KlAppEqTRRCPN3o0R3/ayHg/s92mHafrVOD0eosj2gaiCu6TB0/duccmd/IaUzm1RaUtbweaZVEkTPiKtIc+BLsbIzvnk4tkwtYo4beW8jseHmWDJJh6PIkFvIPFqEq3zuSGlWolS88AqOwdyV6S4w2zll672g93duRoYdo0gszpzowxmIagElzIfzJ6B3I6BO92ZoPScgdvTMYaE//nZOu/7eAsrtPO9K+xNob0r1uBqoCPK56ME8udg7/FZjlX9bXN3YLyVzWRpe2MwicRI54sraYgSD6kMP/LWPkfOebzvE5ooLkBuEIyERJlskEQK7nJrWw7qVGfgFoHi25kOpwC6cECW2T8TqVTJJAQO2Nl1L/R2Sb4yJj/y81dlf8o3TH4iJSJxoy0wri4lSQQ6Sf1BrbJ52VnzwNqyYvyXj99ta8oTysC2pWSPrT7nUsDmzF5stuTmbow7JjIDtxqXJ9U961W694zT4BGeH3HkguQTdzbp9Tyoq9Xsndd8l5wdUSR48s/F6tcZyL8eh1c2xKhIgrHZ2Car9ygBXWZAlxjptLiUmihKaDVj3vrKPp//ap0j59Ol2IX1JEIwcPBy79Gk4LYF2G0O6tQtIU3+ZCDLnZQsde/YW6UgtaXr7VogHSht2cQoER8Uf6esFjIwF+QxLnMzm9Bg0rEYWWcSWHSjUSMc+TTqknpQMHe1zWhtQDN2cSlrrAqw7SrmrrB4xRq0+TgwVWLxbKKpUm7wYzGYvaS/S9ttyJIskTJ1TFIm1zpmFBluv7/Jlx6tu+Hg0nMAH2Pv3MERgnIwLMjefzX9nJ0Q8fWQXSX0KtBLhzHOhstkik23InG62xQyxUgSIVGJxAhFNNK89vqQ1754wOnPeYxM6hy4SihiNEMB0pS2rcp8YukG5ZODuqTJ0zS9CxnSG0GIguzTANKKNPAs44ii37eMCZv73iWWzlfBkuQtA76kDrLOJbdTm0BJg0UjpY/evXvHynk//nx3yf/HxpiiAIY1nleBuxoY5HcX1RujsB7TIiWKsQKZHCmW/WL+dAHsDOhF2WjZOZFytd52NmFSeh0jpevUkX7MXQ/5vPeDkyRWF86JVAgh3T5AokjLVxm8BHLJmuxdAfdzAX0s2TOesi/LFUM29SotxhKFo5Jrcum8cWE0cWzw/YSf/r4OB89o7npQYnxBNkoVIYiMYuCgVLyhNB5AiSIpkn6QwgtPV9vs/aarbabDRZqyNxSjJGR6/QvAlzty7Bhjl4BdWgUr3UnPgsMRoKQiofH5mbmtK+o1t2zuhYNLRwPP/jBEbmClJJ0WVd0xrDrltdRNXZEX5QSNKGy/7OflisBSDXRRGVi2AEuJnFJAmRdUlV2TXKokFami86xl0Wt5Zknw3j+Z5J5Hm85Tkn5aEuuhpaAuIZCkm1zZ1bXblSM7X9nr6jCirOZdqrGG6ZKuL9fZFzd9tSSgHIRn8i3PJ5SlXvlnFtbNxgTa8sATPiuDUm1BGmZmU8SLisMUSOPlGV/3bi3dCNntUlqR3NfVrW0qCa7yjV7++5UcgU1v9vTZ2nSHinR0RAJhZBDS4/TZ+e998OEnD+osANDaUg9K+ymO14SPf8xs+Ri/i8alSSV6rnrIFQ+8si1GVZrIcc2dsXjZPSntBJZnK2Xme8f568RP+JNPTfLJrzSxNQVCOXQKjZCy0m9Z9Dc+R8d8/pnH6GbshJW/nSd4qkReyBSoBJrV+YVpkJlOdLIpc1trihoVIZFGkQiNHCS87VUDnjnm8avv14RBXABcCKzxGJF2V5lUPyRptoaiPjz7HJY0u5mye0b4NmVtm8oMm7J2xtiO2W2ewq/251ZNCvJnm99sz3Z7FWUODrtxOupZSIO1Fr1+OkRKQRhGdHsJYSSI031byjUT2QUY15Y5wPM3Nq7DSwAfA3YO8LERvJU9YDJAixTgY3vGFEdSAnoZ3AkyrzlJuOPBgA9+rskwSafgi8waTLOWwla095qp+TLQy591PPAUq87UGhfIXf18d4Mys6VzU8ZLaK0sZTZlyVkRyrGZTIuzpCExmsAzfN+betz3uM8dj8pU82bZPIGxmpFx7WhkIK+AOwWZLJXRCoFKJUcF5FnTQ+aq5DrbOR4VTS5Ikz8FCazyvcfmiJfEVEXiuXF3lmFoGUSgtHvP+si5BaIEZluwfkKz1FGQuExUucUo/1+fDeBU3+Q4c68OMMva25YYvKrDnRc+xtz58xosXmZvmRQBpo7oj+CX/2iSY2cDrC52S65o70wiVYA9BmjWAHN+akT1SjyHIB/fOKCa0SwXX5X1+OraFCPTikNZZnGFSAxCaGRo2L0l4j/+QJv7fjKgO0w/jJH5+0rQDG36HmVmixTWoZWASUHtXDnH5mlAaSVFG5rIdHi6acI40EskMW4xF8Hl2oH6OMAzL95YJ1GWe7B7Z4+tG7qMQtCHz+4gSiRzEwO0XSmiUmlLeqj4TWVGF6UfrQ44s4CyGjGXNyoqy5EM6FWJYkpJHpMzeRXcmVNS8r2z3XlTz1vriDiB3/5Yi0cP1JznLTPmLpwTT1RlSfY8bkuNl/wW7kmpmfpZ+HoVQ4w5J0UDBEUxk3WScVW1oXAMngedRjqQJxIj0iNJpYox3HBFxI+/vc1//8spwiRlccijwgTFyGRaPJUpJZAjXYCrRKlSRaRJH1NicwnCZH54yvyZVZgDO2uQKJ3D1IFJoZSDrCAOmzuZFYLIz51luim49dp1XLO3Rm9g0D/yPW8nqDU5e/Ipnnn8czTqBSDXAvUqXV6Jcgu/Mjf0qTK3eBbNXQF4RaJU92cs2Dsp6fKSLKkcaWBZS/ji/QEf+FiL9sBzHmDqeZM26TrnpMhalguGyjq8GM22xgzCSlgmiqBtHNBjrL0K7xWgFyCvsnY2Fdam4C9LFWcjJlIhrXH1KrFiomb4wXf0efjpgNu/pqARkxeOpBcqNpIhWUxRgDyXKyKzLZ3nnakXK0Se6bTZXk4l+eKK62wqU4ocQWEblkCe46l8ggqbkrXOXVoPo4nYuOUl7LriOjqdHrrVVPiBptkQBF6Cm/NW4exVd8uqxxhzr6m/x4BdjfqLLGUZ2GuB3D0nq/xurRL3b0pVglLGSB1z4ITmdz8ywZFF32UBREl7pxWDXjrrJHc21goqocrclIBdjkNKK9ta56qc2MnP8JjuLpbgUlnquEdeAnteiGVNvqmsyKSKcA3lMrLsmYn5sXd2OXFBc/iswOqywBIgPZIU5IyBnDQJpDLWSve4yasNcL53toUgJZDn+rsE9JwkSiDPgQ2rttTMbohn8T6QAsLQEsaSBE1sFTobniOlhbSOVysHrsLft7nFQ+UXlG6x/ILbsTe7eouL8jYX46wtKs5JseloAWbjEj2rkjkmrRJ00kTKGD+IudAW/PL7J/jElxtYTxXp+Odg76Lue3VKvgzutZI6Fe9WlE5TeUVcRdmrv7e6JqWswzNA2zzDaTMdnjK4FNnrNPgUhjgxeNK5Ku2R5Kd+XXFxRUBQpluBRedMPg7yjL0L1sbt31MGemoPp1I9i08L6UJphc/Op622sI1zRJnIy1ZiGdxSUtqc2B068KHVUBeUErf5wezr46iDTmurc7KpnODs95TXj6r5Xk3ylNPx1dfjQaUQ48xdckyEQWYZywzgpUyllAlSxelrV2sSYvj0vU2++GAjrTVRObCr7F3sGlyeN1h2S1aVxZa0OKWfrQrCxfgVWn3Vqs5JKVVPqm3LjQYpc8vUTXEzRFxXlhBp4id1VqQs1axIiUgrDgNted2Lhrz51j5/9nlFGAuXts1Z3P2/sRUMTQnkQqCzjGeqyd2OKI6GC4Cn71eUk0DkQ4FsejOUmbvYblAUZTEl1s5PWeaHl9hckNYIJZbNG2cRUt0mVXDBMEC9573/g29/y60rxsoVJUb/xITnqNVEAfJs7IAowFop7C/XlZSSEdWJq6WqwHJnjioXTo116eRWYOF5S7maucsd8bnu1jGJNHzq7jr/+X2THD8fpE0MRULH1ZwIAgk16QbZ63QMXDZbvEjmFKPhnH1YDObPp9wKkFKSb6siqsOP3KQuWU3clOrux5NpeUBbrkEXxbkuEmxpmWhW0CTXXnGyO00IR3EzEwlXXhZx+pLi8CmNsaW7ubQUWeG2bC/ii4Jmq326ovKyusqLVff3eMKnDOACyNXkT154hrPqs+0PY+O66gejmH2X72Zu3fS/O3jw6P3/+Ftf7vboieIlIuPjeUusm+qBaKT/OBtTYPN9CV20XI1mx73L8b0RC1lSck9KFmG+17qgkCUVJk/GJjtVmTsDdvbseQnHFyQf+OsmB48E0FK5W5IndqTMpUneZ0kJNBmAWA0WIbKqwuxCp8xTIvBV+QKRXVZRucDVCy5ww+hL7F5yUaStrqhZ+l4KMMbtOpx54yLV50IUOlyKrCtfE40sV+yO+b63dnnwSZ8T87JU9ZT+kbomsRS5hWjTgDMTyLkcSXdjy1adjLXJUvtC5D66tKvPZ4XR7dh5GytlMKnvne/QnIK9O4B2OCQWHUY2BNJNqHriGiwNfB3Rqh9EipHbRTZWRJEiRmJxLdM27dyw4xdwzeCy7JyM+d6V2u8SmMu+tzD567XAXQSaCUo4aaJ1wlJX8Jt/NsGdj9WLKsEc2IU08SVjY5CLLh1VBrMo37xr3dBVefJs8eWzPcrd9eMXs5AvGXiE85czmSJK4C9lOqWwGGERxlmXmW0ohHK3kTAkfcOrbhjxr97d4b/8kWR5kL6PrNPckBZeKWIEQ1E4KFlBlpWgTBnw7qRYUUiY7L+zJm2OyIcR5e5qcR7HkokZ2CsAz5g7EYQJRIkgjCERmptv3Mx3vOVyllaG/GtSI1QG2xhNveD2gPZ7A7/ORLNHsz4k8GK0NhWpQa6lbVo0Naalx2u5y903uQuSZSeLWXvVrGSWtSxkiVoFbpehLL9WKmYoLL//8Sbv/1iLbpQWUmUAT3W3m91XOCfloqoctBmbl33wMlOXg8kSD1fGRXwDSB/vrq/Ua4y7LSW7sEjdl4Btx9rc0rrxrL0tG+BpbDY4SNPS8MPv6PIjb+tSN7Fb67NnG4OJwMZYY4ktjAyERhAap9HjVCIk6evEpPIhjQsSm309xrrpZlvF3Jfq62o8Uvo6+ztGECUwjARLQ8GFPvh+gwMH2+9tNV90+/YtG929CvDKF27nRerH+vu2HT6+0Otx8PQK9VqHWhBVgsOK502xTOd/J9fdRXlrGdSVVHxJTxcsbUtfP5tbkuTgzySJTA+04ZmjHn9xe4NOlBa2UwoqpXIAJ5Um+WEL9i6VE5TBXnldeh6vv8lOTjXefG6kF+1qY5YhIq8Lz/ayLG6CUlNy3vUjqXjl+aiJ7HsKW5qrYo0ijhQtbfmu1/W48vIRMokdsG3sgG4zsCdYY4ksDC2EKdAjI4gtRCnIkzLoDSRJtmtcuXmjdBOMA9oWMqT8nNH4eEDejwSdOOKKXZfYvKnL7Q/OH7/5bT/XF2IfUNqrft5+H5N+jdsev4dP3nEv//672ly/u7gTjSl+UbFEl2weyg5JobUzJ6WQJcUNMC5NRAZ8YasgT61BWc5SZs5JFlh6CU8c8/jxX5nmycMB1pOFLMm0d8re+ZwTWbYGnyU1/xwypRJmCUpfFUzwDcmVMb+36ouP24U4SZK6F8U0rHQXBuECXGOlW+6txVjpNmuybkKWME6TJyZdkUPLdZdF/M5PrfDD/5fgySNpcJJ5fGm9DFgwmjhPRaZyJKPKNJupMomSOyYirU1xVqHMXEfp7EEy2VImk+zkjUWnWfyj0tFwWhm+5ao2P/aPBsxsuAVv+nVYM+CGT/yXgsEBPG8LQm1l27oZLp+b5MjJrVxcajGKNHGs0mBTVAKgMrifrZY7DxbHrL8qsxe+d5XVnxvcSsQpuA1dK/m9jzd5bH9AosaSOWm9CUi0oJhSRSFDVrF3xTXKjrGxEBWwFxfgOcpP1pQnFYyXspjjrL6a2VdLlvJ+m9lkWpObBWOHVWlXvkIkkhuuHPHP39qjJdNOdFuWKo7F3etUrqRHZAShgThl87jEzkkuTYqpublsqbC6yFm+PFqZsfOaSUmtIPAsmycNV2ysc+zkVnqDzezZtoltGzfl/y5n8FbTo1YPjuzd1Trqv2Jqz0yrSxJLwnQrjawkNqvwkmSTSscYu+SWVL6XW4hmDfekALgYZ3CZFFJFpcGkcOCWKkF7CX0DH/hEk498sckoA7Mss7fz42RKTJ6wlCdUrZm1fDYHJQNt+XVmoFXALMaevy55V/xvSpWF2dJsIB9lXB4MJHPJYnPnRKasLqxAGIkQxgWbVrqGXytdAErK5onFF5Z3vrbP/pOaD3y8RS/CnTBDHjAWO4Jr4qwOBRdAIm0eBCNB4oYN5S1vxqXz17r/Req0GJP92+LklJ3LMplo6W6Mh5+ucXGxwbod9aNI/0iURPn/nzP4xo2bWT531227twUfesFVms1zl5AypjdQDENJGEvi9C7MTnjFl5UlCZIFkqocUI6zecbMNi+aWq3LS+CWSclVcQyuVUw3hPd/ssn/9f4JLi1mGcpyYJkdokjqCNDlVafk+IyX86ZO19op+jHZUsJ+zvhf91ECbDl3X/1SpIw+ztbVlH1Zm2e6vGB4WRkcZNJgs9iuUBMnio2zhv/wA22+/61dWkHsZhLbpGBwExdMbi2JgTBl8tAIIksefCY5W5fZXOQaPA8yK8GlyAPJ8s2fs7d0Vc41X9CouRXjyEJIx04yjOsf+qtP3n3b5s2bVzM4QK0mmJoIPvvx2+O3nD7jXT/X1My0PJp1Q+AbhM6K2G3ekV0s5SUtLRjT2mUNnoHcpJrb2YGZ/nbgL9LvFXmSZimz/kpZs3zysw3e8/4JLix7bsiNHNfdikrGMnd5Ss7JmOe9tvctKuAdd1Dct8TXI+yvy+aVpTmXKimnV7R4aUhmatcZK9w22qIITEXO4o7ZnW1I+mwRpNahtW6W4ciyaTrhP/xgh8WO4kOfkVBLlw5Tfi4glJiCybOJPxaXILJpGj/z2C2O5TPdnX1uWTkTbvZh7qCUFkMlRSpPBI2aZOc2eO3cgLl1/cci0/osolf5nyoA37jz23jTP/35e8B7KBmuu37fNom3TRa7BUv35qvB1upul1XgToE7HmTK3CrMpMtqBq+ydpbMSVCB4cgZzZ9+psn5S77zu1cB2zUyiJS1C+ekWgpbCS4pJapKx1jRN/k01DKmvzFVkl/U5/x57n3bfG/KVbZZ/ixyaZAD26TZUyMwiDTJU5ImoixRCrIy1hKHlk3rEt79rT3ue9zj6FkfgvSDZeCufACFMZIwXe6scdssZpNIHajduc/S+giXAQY7Bu7sBKRd+KI4XxnuHIunAF+vuOGKCbZujh+y9q/vufqlv/rsAAf4x6/cjRCS82ePokUfT9u8KGb8KCdtxll8HNy53s5/XrIHx1yT5wZ3jPINR89pfv53pvjywzWoyQLcshjek9URZIFl3l8pimTOWvp71QxCWfjiz1ZJmKfCy8f43xdruyTZXVHeC6dcNVfxxy05ezvguxtAWLcx1FpFWaJUq+KSRNJtCEV67YzFjVtOgQ4kw5jXvHDIL/14m5/7nUmOnffBS9+QKd3IJXRaJKFxJG5Sd8WknT35fJXss5KtBCL/neX/1lq334/IWifLJwN3DuLEcm7eov1ZqF+OsYbxxyqAv+Otr0VKFd5/T5czp46ilMy3Bxln4UqWcg12M/JNdwAALSZJREFUFpkTUglAHcjVqhvAsbcoSxJRKqSSxoHcM5y4pPmF353kI7c3CEXmd49rbrU6sBRFI0N1lIVdJUlYA5w5gMtOyZj2ftZH+Ydj9J0Hk1BxDvKvsxLa3FGp1omTgb6U2RRlFi+DPd3T3QFfFlLFuubdTLJgLDVtede39EkM/NxvT3LyUgBewrMzuQN5nH1hXIcUZBnYwg5UpQItSkyeA92WgF5awbKEUZzAcGQYDBNm1s+w77pXh3EcM/5YBfD1c+sQuvmTW7buuGpl6dyr4qifSxRVAnqRyCllNssBZC47quAeZ+yKLBGpi5IHmAW4lYzQ2nByXvPTvzXJx+5oEMp067WyJKl43hRtaBVp8ixVg4wFmyXkVqRKyTWpyJPynfC/8MhlR1mHljOeY9nPjMHHbcMyi1MCvEhb1VxIKvOstJMpCpEiLIotnkr4rtcP0Ap+5remODnvFxOAKkxeIN0iiNP/0WRp/JzpRemuKOavlJk8u+tFejNjLYkl3YbQIhI38WEYGiYnmuzaufMr27du+cn5pc6qc7lK/kivxZ1f+VKn3W8c7A/9REkI/AS/tM9kxedeVc+9ulhKVCSJSVPs1erADNyyAu4sRR8jteHckuQ//PYkH7u9DO4soSOL16k0yQNLxpI5lP3uIsFQruQrA7jM2pIxYFcwbcduhG8U0asDzPH6lOJ7afBWAW+2pFeH6JfnGhZOiqx8vVZKP3NZrFHEiUIn8M5vGfCff7zNppkodVbikrtS9sndpDRrLbFxqf2hdT55ZMldlnI20+SZzmpms7zbnEmzo3ECUWwZRe5ns1NBsn3zxMG77vxyZ/3s5KpTq9c83xZM3P3xbZu9m4miGzxtKKfjVRnUWUNCxbteI9GTBZo5oEugr2htU2LuVHurhFgL/vBTLT7yhQahkmnjwnh3jmZcmqxuYniOjGUJoGuNh6iw+ZoSprgz/h/iu2CsDMiVpE65bc1WEkCZJZgt55VsZ/az/GawuS+eFWyRZTxN4cC79huLsG6Pb5FYNAnvekOfg8c17/3AhJMhZSbPRkmIVE+gQTggh1nWNf2/s6aIfEwzohgylDJ5xamxTuKoVJZFCYSxJYwFg7j2xNJy98fXzU6seW7XDGBf/ZrXsnvzYrLv8jm7ef0Kk80hvp/kG6pWM5KFVKkeZgzcpexkmc3HU+9l5hYJUhnQgtvuqfPh2xqM8orAkjSRVb+77JqU926v9FaWdLikqKspg7Zck5LBt6y1RQnQ2dOqMtlvBNzpX1zLWVmrLtpZcCLV4uP1GVlZhahkNqudQEWNSjGaWZLYrCQ6zXCmzy7jKfETy3e+vs+33DpAJCX2LvvkWQ2LiXI2NylzhwZCW2Q7E5PWrWSsPs7kpsziLlMaxYJRLFgeCC52Yf2WXfaZ/1973x1nSVXn+z3nVLihb+cwPT10Tw7AAM7AwABDkrAoKMuiuIq6roqBNa6wsuqCft5zQZ+6KorrPtwVnu/pCsoDxYBIVKKDhMm5J8/0dE/He2+Fc94f55yqU3WrwwwDA7w9n099bqVbt27Vt371/eXesXDFWedmXl8L44zW7kvAuYd9+zbBtfaofL+4rFamtSQCvObe3ODdJnVJcW4SqrgUfYwAlARgdghiEfzisTyu+3YD1mxxVcIwG2dS1ITWSu/I3o2Ue96Q3uMFWZkKp95gKqJpIE/VWphQKNNmQKRs4CYnNyW8cozIXZOS3pTaEQ8XMfiJoOCqpyWiuBURcXD50AoQLkU1IwGOn+3j658cwrUUuO8PeSnF05IcxjKRIRIcFB6MWovaU6tjzJVJ0TIkeViTyydPiyspftLxzaNv+YuTf1LM53H9x7OvMcU4g5MWEYrmWwoNSwY9X14BZlKQjNiSOI8yVWnKCH2dGNzKDEgk5yYWwT2P5vHZW+qxZqsCN2UTAFw6omykS0BoCZ6KNcH4dCMGcDL+JMtaUgNow3Y7PronWJ+KUREJ1Mc0xKyrUqNgJryYtVI885PL2JVQpMJshZbiDNyjWNTt4+aPDeGSFWXVPUFL8jQX1xMHVOUpX0heXuUEnsHJwyiOxQyjjTm5GU4LAViE44yTjj2wZtX6b82b1T3upR5XgjeUKCrDa//PzJ6eG9YNlBp4OKKi1MybXxsaq2lJHFfCjajB2HKS5N+h+pQ5lYxxwALueSyPf/xOPVZtziXBTa1McBMKo2h9rVMnS3rTScAOY31acickfPoCHgIPrzENGtI6Wo5iU1LSLxGbIqL0Ms3DiVLoIh7OZYobBwGBTFAGp4p/08i0zaM8W2lVCc2n0geOn+njy9cMQQjgl48V5HpdLV/b9RLvo6j4MkKowCvEpkOowkIqKEV6VpWJlEJXsdWJ/AItTUX0zJqPlqZaxdIcdKKNbnFaNeDsw8WGGaONpVHYVhBxvIijZkUAmnHbRjy3GeMdV55SicJRwrAE931/zOP6b9dj1ebxJLdBVZSzxXTHZ4a/mjmPqJXaCQUyBXYN9PiTJMW5QnpycXKIp60mCaynnBvQaqDppk9wdM3LSfwwJLh5bDkxJbd8GGhsVYksLDS2sOj4Fc3PPYrFM6Ukv/iMMZUowZGIJc+aBIfgIlI+q4qXe9yMKUciRFsgppdeAPQNc8ybPWPUtemHZ/d0Vie6vtZEGwcPDvF8ae7TpQ4+9MQjfyo25Gy4jg3HCQASSBs2EbUJwWmzXxRFqK0noVrW5kIZJUgYh2AEv34ih2u/qWlJWom0FLhjiwlU0q+jJLYOhc0s/wCRQUlq15mAjR8AknwAEoAHMvkLatelWEhqx5h3RvSEpIAsDD5uPCgxF8+IV0nMaw4uS0uAAkTVUwGnymUPQHk7OZSEVba76Nw94LiZPr768SEIQXD/4zkp6ScSm1xEvFyAwodSLInsvia4elCpUN5Z+WuMyrzxUlFg0ZwQf/vXK4bmzpr59PBIP5/g1yaW4LliO3L5hr5N2+kVA97F/obtBVR9BqFeEzoSMC6lpluEhHHWu2EdiTNwTO9kGPFwwQh+/4yLT3+9Hmu2ORNw7iS4I4dOipro2JIaSY5a13yN1DbmUQP8FKqJfBQylcsp8pSEJQRJ2hK59s1lmEAmieyfZDhtKlY85QBK8m8SS22j4ZW2onDOINS8trCEVYJje3x841ODOOeUClgkydM8PEhNMjJRcBmRWOFAmRPJzbmMMQ8MqwoE4FoC3S3AB/5yuT+jVVzR3NTQ1z2jfcLrOjHA3Rx279qBxYvm7Dxz2cLNXdMKsKgfNVrV9bgtJrsmJMAdtezjKRNgskcl1ZLbIrj/KRcf+2oD1m9zVGRgBtfOiPHWCQwJahLV1q6V3smaJ0ZYbALchvROYjnGboqrHyqopwZ4EoNbK5a6Pk0iPiV2juhaKXGNw2yl0gyh1W3DhUFRRE1yhFY+Y8BLxROY3+3jls8M4o3LKmBhKJEpOOIQ21QqXGRGlGDnXMDnwFgEdA1yEoXdVj2BkBRRaFy0udgwZ2dv7w5Q6h4+wAHAsihG+h7eVl8c++Cxi3pQKo7CtUPYqveNCe6oB45Zk9ucWExNiM7KcSS4H3jaxSe/1oD12x0IZzwToHy1aXBDUZGId8PoJ49aajIlC4oB0NrAKiSleRrUqmKNyNg0HoijzwlMLrFyqelN/DuCpyR6hhQXRilsU6InyjLXSHSanOeGp1OBPDQkOTyC+cf4+JdPD+LcZRXQkAOeAW4exgnNJsi5H60TPETABcohMBoSjIXyEF5IUAkI+oZDzJi5AH0D1Q/++O5Ht0n75iT4nWyH9o4uhMEIKCvuHtrHH0Vl5QrfG4VtCTiWD9uShXa0UklUhg4hPIpW0zEpBJKXaysKcwV6DzA8/mcXN/5rCeu3ORDazk3T4DZKPyiEaaVSmwST6WepGO8U9Yik93hAN5RLvSKW5iSS5mn7d21w1hTEuebZBlBlnGiqCYEhvbXNW/LzuJSHDLqC7K+ZsqaYICeR1UXaw+U2HgEalEd2ckq5ikBU7lZl76ZAZHAgJAANOBb2+PjWpwdxw/c5nnzWRe8BC3D01dHWFGmxkbG1BCChMsZLwcUJQ0VIc6UAQKgAr3LU1zfihMWLHr380uW7h4bLaKgvTHppJ38EADCrDgd2/2GjIE3fYsWl8AMO2/KRcz24bhWO7cG2PFiWB4v5aoqlOSVG4BQJInCv32XjS9+tx8e/2oB1vabkptngjiR3rFRqzh3ZvJHlyEnSkHRqWkQ9MsBtuvGzA68ygC7i9Sb4M7GtFUqtX6Zt2+YnMng4DMmu7eQwHgSk7OOmRYUb0pvHXJwbUptrm3jEz0ktXdE2ck4hqgQLun18+9pBfOGaIczr8oGqEa+SLkmhp9ADwirAK3IKqvADHyOBwIhPEIYBLj5rEaa11X3r3vuf2jgVcANTkODRk+DOA3UannZL1bsZ772sZD+NYt4DY1JBhIpI0zqGBIfyhkk3mZLuAHWBjbssfOnWEu66P48Kp9JaQtJeShPcOqAqBreW3hrUUeNYY934GTpx4kYigCplPYkBSpLATjwRKRhnapuTDDH+/ol4aBPIkckENdJcSm1Ekj0ZcQgV36Jt5CoDh8vSc0LwOFaFE2hxrTP0pVhnRshs7O0EAWjA0dEU4qo3l+E6wBe/U8KmXTbg6BPnSe1dZdYjVBN0PRKKgNoYoBZOXz4XZ5+64O4VJ895ev+BoSlf1ikDvLmlA2PDvdu6Zp72ifXP/5b98BelS9dtGUXeCfHOi8robJHOnultIerqBHhVupAROQzUn7cJNu20cOP3SrjrdwVUQLLBDZYJbtPenUlNUt7KdNbOuDmV0WcqsCplPSEZU432WTMOTetMWE2UEVgDUkgTVsqlb9IUkVw2LDMRmAVU3DiigCz9w9ohJDgFJ1xed8GVw4iCcl1OPAY5gWybAq4dNoCocrg2xxVvHAOEwI231mPzLguwhAFq9bshgCpQLHFMnx6AEYHO1hDvuLACmwK9fU3o9+bfe/45p31i49ZdvQvndh15gANAodSNBx57pLeQu+jFP66xL/3Nw6tBrQAPPuMhZ4XIOyFOPqmK5Ys9nP2GKmZ2hOBBfHOpA2zdY+GGW0u48/48qiCqXndWfIkR/qrBrU7YRroSbExHEhk6MPi2OZ+iLABqJbwBS5OuJJw3adATA/BTRTJJ0w4plSPKQsahJQrZGqyJhlWkNnZFkAyqoqMUuWyDTThU1zW5QKiU1oRI6iLXy9sh39LyASBm3IB6e1MKcJ8jbwm8/YIyQAi+8O06bNttydev/kMB0DMtwNlLPCw/3sPJJ1aRtwXyFkF3K4HvEwx63Rhzlr/Yu/Wh3oVzzz0UyB4awAGAWnMxq7vz5oULdsx+cdvwlTv37MPmAzmAhyAiwIvb8vjpb3x0z/Dw2XeP4rJzKrCpgBcSrHzOxq13FvDT+/PwiCrNmgluA+SG5LYQp56Z4LZoTFFMIGuqkrB3m2BMANcAurEusQ9q52tGmttMcSQ8mmSc7cL4NICffFC0eOdR38qYx4tYwVRBT1pvJCJuva3SbED1MTiV7Xy4kuhasGulNQqQQhLkBAiDEI4lcOUFZYALfPfOAp5dY6MaEjgMeOsFFXz2qhH0dAUouoANBi4s8JChXKEI0IlCw8KfTJu+/GZg2yFfV3aoX/jh//waGuYtrx4/v+u+Pz6/4eyREb87pLaMz6YyzqDsAXv2UjzxooWuNo4ZMzh+dF8eH/pyPf60xoGfCe5xbN5UxkfEeZXa5q0kuAHuRGAVjedr+num1ycmknwg1LrI1a+2UzUv8yz0d1SKGJLLcY92vVyr6BKK2odRfw/J8zEf0EQwmHHuJHUs8+E1dYSa1LuMN1r88GY87YmHOvUDNH54GKQH8vJzPfQPEWzZwnDpuRV89RPDWNjjwyUEIrRR9V1UvRx83waHA2o1PWaVznubN/TEiFta8fIDHAAevPd/4V3v+7B/3rIFV618oXfW4GgVzLYhLdFcToRjqJ/ghU0MLfUCX/x+EXv7GXiUeZPlpUyVOCZxRnwMbmGAOy7ck4z5ltsiSU5T1CUCaxr8JF5vbNMApiQFIkIyPmVNcPnimSLAEZ+PCayscnFUmyiJeiB0kRxtxqSoeUtp3SJtJYpplUgAXa4XiRUk8wkw94vRnnV8QP6fuqLAkoUBdg4wfOH9o5h9jA9eIQgDC37gwPNyCuAMxG5DXeffbGSM3VZoefPhQHVqZsKssWLJPJy5ZO5TV75pSXlRm412V8BmqkyaIAAH5h4T4JIzqzhhgY/5M0PjxxTCkDYH0gS4ocFNJwN3utWISJgEY8loJBojeRPMm5u80Rn7kOTOacpjHGJSumLSjATlSAesmB7NaP+YgphpbWnXPTc9nsg2G6anyKvJTaePNhNSw6yYdgCZLn65LSoMoaId121leH6dhXsfc7FxhwXCpOLJuQUvcDE0WsCB4Taw4nll5i5+iuUWHy5MD52D69HeXMLQ8OjnPvKOM0X5wNZP3fm79TmbWPBCAEGI046r4IarB3HOiR6sgsB731TGE8/ZqHDjNZYF8kjCS3DGmTmTg9vsJjGe0ljz6o0EkhFLkvEqr9knmpJrSAqXJGMuAiKpxb/JwSOMGxzbXI6/o2qi6AeBGIZzEnNlRA+EztBXJkUgwav1MigFBVcKpXT+UNCovBoxSrppxZPEmgAEFeDKAiOE3KfqEfzHfXk8v8bBqm027v+DixuuHsJpi0IEgYDgFOUKxVBwXGVuy8X/Aup83rKLhw3ww5bgAFBfKvJn/vTUjbNnTv/K7JmdHoUHh47h9ONHcPNHD+KiZVW4TIBVBS5dUcFZS3119XR7BJoEuSG5dYyJcwjgTkhnpEEdv4az65skJXUsjUnyIwX6LAk9idDOHDUOS2Mh7dJPCHhRu68J3kRyMtISOxWslZLoWlrXSvI4zY0bAVpCxJOW3hBxFUsw4KFnHNz3aB6Bw1D1bfzmySL+4TuNeHyVDYEKQh4gXzfdY27HVx5/4okbLbs4YbTgZOOwJbgea7aMeYK033TxGfu8s05Y/6WDQ7vp5Wf6OO04AW/MAQEHYwHq8iHeuqKC+x/Pqy4AZkxJMuXMBLdNs8FNM6pPJbPla7lmAqBALbVI08zUpKUoRRLESUXM2HmqyNZifxJnDzW3KyePICRh2xbKGiLUNt0kXDuGCGJbOSfyGNJXQ8AhxTClIqrJIyV6rSSXbnYORI4fCp32BlVBS0pvqpKcZeHNux9zMTyqhBmzAEHx6As5XHerg0uWD8ALG/nyk7q/dO6y1q/v2NvvvVR8vmSAX3fNFdi87sflUrH77ufWBF9ctWovjptFMTpmQSCEzXwJWuqj4OrIIIWCBMilJDfB7dDxJbcJzkSjK1NBS3PyFHVJWxMSnNsE7HjYHQ/DEwB13N1J7cq0yTB27BiUxFynnUBqO2BIc6JjT6Cq0SLyYErzoFBsQ4M8xi8gwKGyfrgORJFcRlkU4/U614gARDB13PhPjFUoOBhkIzAXYA4gGJ7YkMf8boEzl50udowuuPv2342W33/lX79UeL50gAOAh/nw7JYNjc0tH11xqntr/+DD1GIBXMcDHKIyegLwUH/DBLdRhYpODdymdYGRWt6dcNEbCQ4akwnWTMYXuplWMWPHmtXp+cPhKqkROWzG+TEhkucnBFGWDfk9vS3OjDGlvHx1yNLHmuqICOSaXxMqab00gdM4FoMSUE4j1qlBHl9XDgIKQVVQFVQpG0KlMYK5sC0XRQbkLAvz57yFn7J4wUdnzJy7Yd/evUcCmi+Ng+uxcMEStOYDb+mS02/b01/4+xe2zsb+/jw8z0EYWjKcUlVTivmCBndcINOeIriTXssY3AkPJsY3tdXaeElsNUmAiIxLbWrAS8YH/KGMGgOKGYMSaZqxdDb3SVe/iiV7JFczkiFiC0s6hS0uMZEKyNLWFG5+JlPcohhyxeFFVH5WCzcLhNooWgTT8h7etqIRszrdv1+8+Izb1qwd9RbOO/FIQPPISHAAcOvnYOv2veHiJZdvOrj3mWGv/+clIUbVRVWKJGCYAmObNyEEDpUNdzW4LQJVWtkIpEqBOAI3ouBL+RORFJ9YepvrEljPRCepBTlqpXvWV8kU0T4hszGjDCPpbCYjy99JHEMnKBNIS4aOJCdGoU+iGsuqo0uZq+aV/56qC2taWyJJTmh03PRFltdfJUZQCpZQcuR8GISY1taASy44e/jCNy7dNDq0Jzxj2ZzDB2JqHBEJrkc+V8CM9r57Fyx8wzVzFp7Xny8UQYhv7KG5d5wdT6gEd44ALhVR12ErkuIiAe449kSknDSIrC/auVCjcKbOl6ibnXbTx9viBfMhmXSMR+DVSGfRAxk2cGNdljRPflFbSIghzUlt2hsypDhPWVPGk+Q8Kck5J0Yf1VQXNz0fJgsICU7iP08IhO+jsamEv3zr+f2nLD35mpWrx+7N5fJHEpJHToIDQEebLJ8Vev131Lefb1Xtys3l/nvaON8LCAJCiaIkstswoRQOBQq60zCJC9TL/jlZZkBRo0iOmyWPWitIFkVJgFmPDKmf3hZx8dSXRXq3CYaYwnaS3i8KngJgfOr9Yx4eA1nbUwjRSRQmV0eUJaSPEklyZUXRHa85N65jIvZEURFZNch42KTLKaShMiGq960gmNHRiI+886z977n8jH8oV/07li6efqSgGI0jCnA9mNOM0O//d7fpYuqV9/yzP/SbNjv04YcUYDZAHVBqwaEEBSrgUN0rXtREB2oAmyWPsxKHTYXRLIccvTRQC7jxKEGtUqlvVFK5zKIswBSlfHpM0fISOYgM5w8Z5+umdSbaT60kKvxWb5HqYfJJ4fra6vBtpWwKFR5AVTa8tOjIt6qOZKTmG4QAhHC4gQWbASAMBWbjwhXH77/6r864vlr1/n16a8Nh422icUQpijmY3Yyx/XffRq366zws6t8/4ODex+sAuwBmOShYBCVLIM8EXCbgUKEK1MdF6rP6WKZjTmq8mGYJCEwsvdPWk6RUTyebZaMvAWwx/n5THTVRgsZnJlVJ0ZCarHwzQdl0GplOIUPpjJrJppbNbJ+oliGnqueOpCtBKGlJEFIEAUMQ2vADG77vwPNdeNUcLj7NR3MdwbLjj+lva6y77uu3P3jbtJcJ3MDLJMH1qOt8L3pX//D2arjAe/gF8b0Hnu0vFQsuXKb4NtWhrqKmyzAhsTMnESAFZNCSOJgni3Zk0gxjQyZFSe4SSUxNRzL3z9JiJxoGxSBamGbQDi2jo3WTHdt00ZOUhNcg1w4iYvBiIW3iug8TESTxJpSBYkIVsRfK6UwgQl0fnsiKWKrIfsg5GNXglzx8+aJBXPe+luHh8vSPEV798Q2fvvJlQF48XlaAA8DtD5R5fYn+ZMee+cH5Jw/+cN363hyHBSGkIskYwMxoNn1LTaADiSg/E9iRdDa+Y1ozsmjKZBjMetWbCSgT7nwI29O0Il5WgEYMUiG0Z9F06CAGssG7Mw+OOF5cx4tIZw9ikBP5R3V5Pm19IVRE++qoSFCuCuprp1vqfUcEKKEIKQdTxH1g0EVjy6LK297Y+AHOBu4CD/gNn3kJ4JrCOKxw2UMZv//VL3DG2VeJ6e3T1xYcrHZs6y3bdw9YjkXgWgKuJUugMGoA2uDeppUkrnlSy9EnTUlLz0cTyViXtd4IiY3s7iTxKcNi07HgWfMZ8eBTmLKKFWXqIeNN0A+p8YhHwiB+/IXeR5ihU4iXjWMQEtvndXRhyCkCTsFD6WqjVECIEHZhXoU6PVfli7N+Hng0nLnowy83/F4+Dm6Oz3/qShwYOBBe+87FP5s+o/M98+b3jHlhiJwlUHQF8o6Aw+IkBROg+gYyqqVCqiwETVET85Vq3svDGSmKQybb1ziH1CEmH5OZU5BNvcUUf2H8TKGYm0c94zNMghH/jmqm1JoZddt3L2AoV2yMVhxUqgwQARqauscamzrec8B7088qY/3hzGOvegk3ZurjZZfgevz+13ch6DgHj/954+rj5ndvKTo4H/5IrqEI2IzAC1QxJCBSCE1wU9WdWPe4ZJqTJzii/K0EDTGBD0xBUmesr8na0etrJfhkkntSCY6MeUywz6FMqePF10desRj/cSx5WoonJDoxvqWFvJAK5uCog+FR6cRrbp0+WN/U+aHq6JqftDcNoWvB375SsHvlAA4Af3zgLlz29vfhjIWNL3a2N+9aOHfaWaVcpWBbZewcECh7RroYjGwcmnT0MEN6m/unTYNpLn4kKAqlJJHapjN+ZGLFYQAc8TlrZ1WalkQOLBwCmCkmBTqMTwlOCWyzB5BZqTYaGeepdSLb5vADH89vYKiG7Zgz76QDdQ1dnzw4PO1HDfUM7XM+8kpC7uVXMtPjlhvfi1sAHDw4eDullrV5w5M3rV71s7aVvWV4I0VYuicnkhcxyrNMURJ5YxApW9z4uhmBmn5FHzJzmdROTWq2kyn8iJhoAxn//FHr/pn0fGPqJxLnl/B4CrNduz4B7SCSIa86917oEzOEuGOFKPvDWLe3Hm+54PT9J5yy/LO+799eX//ymQInGq84wPVobGyAEMM/OHHJKWT/0PA/2/SxNocMg6p63zE4RQRuxmJqYt67RN0PnhGERGI4EHM9JgfhRNtJxposyZg1En7DyEKSwd/H486YhLYbukx0LCVl07qJvjaxrTvp6tfxK5QIVeOeghAuHUORsJFFMkdGCTpa2vE37zhvf8+sM67vGxI/OKbj6IAbOIoABwBCSujdXblt7rw3Bp94b+kbd9/3cNO6LQcUF5e9W6KSEExy9YQEV+lVggOhquQU36zIU5wYGtSJLJgMcE1+8tGfSC6jFo+Zx82I9SaphYleGlM6VfWESAqUbHGoga6Dt8xMIVO5TBSgJwKcSQlOiWTfsha8bpJG4KEHHdPOHlg8Z8m1lAU/JKTusPFxJMZRBTgAdHfmwEPvjtbzlvZv37l7zuzZ/ld+/cDj9r4RCse24KomtA4jsJjm5OqKqw5eAaTmb8S0JUBu1gqUt0cpH8TYfpjWloSFJSEuJx/mQ5WwaRPj4Uy8eg7hpBLzcVdqKKBqwOsf0BxbF9IPQ4IgjPtwyiKqsqmVUMsugHzOAyNV7B8oYlr36X7Fy1/X0nnKJi8o/DJvvaIqXuY46gAHAMoc/uTK9fe++c0XOzu2bhpb2EO/e/eDT5I/Ph9Qq44hZwO2BTAqO6hRJpU8IaTlRXv5QhIDOzJ5iVixkuUVEMVZsBS6xVSBRLKXTeVNc4RJqYrpbTTfImZWjl6FqdMSU6E0Q4ejfqdEywiV1EZiase5BLcfyE8BRU8YwLiQPac4getwuHYZL2wt8Fz9OSJXv/Dv5s+e+R9DAzu8fP2iVxpGmeNVAXAAOHXJfGzZvMGbN3v6HcfPqjz05y1Dbxur9P23cHgvSkULOh6OEQLLAiwm48z9gIMLAT8AdJpXoiMX5Hpd/IYamVVmRN6hDFIzU7v1kA6ZigbM2qQbUU395AxFksSxOrq1OlW0BZCAFqBRLI0AEIQEFY/C8yXALSZgW9JUK4SFMQiEPEBb22zMndP0T2v3zPsptTu3r1034C1a+OoAN/AqAjgAzJo9DwDKn//af65fPXzsTReetsspjzZ9buDALtbXX8ZoRXLxnMOQcykoIRithKj6AkJw1bxIt3wmiea5gsY8hZk0AElrCzA1RpCQlOYKxMsTHaPGTW9ECer5yU5G/qS2TAukXh6Rqm6qC2bj3iikllKQQCZghlRE+ZhjZYqRijSB5lztixAYHgVGqw5KTbPCKmn+729YtvOmY7avCZu7l7/yoJlkHH2SlDEe+e1P8U8feYu4+v3veOjnd/3IdSyyzPf2W5t2VuHaBE0lG031FlobKVyHY/eBECNlRJTFDwm8ULZw5NF7XUlWw6Ycx7bUlmuLWphEdmXTHZ9cJoZtnBrLsc07pitmqTWo05rQyWPawM14nAx7eWJZV/aiiPqZMipU6xkBi3E1qcApxJ5K2xKo+gIbtgN9AxxBCDBKUchxNNcH2DfSgEXHnVJdvuLir85bcOoXLrnw78Tcxe842rDJHK8qCW6Od7/rr+BVh9HX73/ulFNX0LbOzuUrN91HO5qC5QV7xJrWAszpKqMaDuLpDQUMlx3UFyQXHywTeFzyRpvK0hPa1EWUYjoeN57MmpIgIAZYiREfQMb9nv4RY4VhMYmm9BsmU4rHPsVJTZ0wYnioUD2WQvmpuuAFoQ1/iEEIgvpigKHqGJ7c6CCs5DCrnSAIGKa1NQWd07zHFyy9hHcfM//xnE0+d2BgaNJelUdzvGoBDgCOW9Kz19/7i1/i3ZedWvK9se97o9vf3la3mdYX9uLeZwS29dWhwSIo5oCGOsCq8/DMJgYLNupdgYKlrADKnj4VKjsZUUnYmDO9erGEN3c2wWrawfUvJuK5jchBc/9Dtvhog3rUnZrDtkI4to+6vAdCqnh2Qz1GR+tgM4acE6KnvYqli0ZwzyNNyOcaMH9+F+/snn2nKJSu3rdn//CiRSe/klA47PGqBrg5Lr3kzdi1s3eYsvzHvLEdGysHw+N/9ZRz2ff+7x402gyN0wRaGizM7yFYPL8f//vhKn7+hzYM+TlYlMPiWkHKUNZSgDElaCLJIOXEIYreRIfJWh6Pi4va1u5Ggk30k+bPJ07ZeJjMc0p8gaT2h+bRkp7kXB+WNYJ7Hqf4ye9cnNhtYX63BUY56os5vPu8IcybNRdrt826e8VZy15cNHf6N4dHK8OzZ808WjA45PGaATgATO/qBoC+R59Z94Wm+it6Cs1b8K43bb5s7apVoHwY9XUO2hoZZrY7+Mzb+rB1n4s/rcmBOyorxcg8jF7tZJzXvGGDTih9ehg27+y4lWTLk7RCCaVQmiDXdQEjRVPEEl2fUuYppCu8qhjvOGNHRNQrStgmHMVcgGc3hvjGT1sRVoroKnE01wvU5TmGK62YNec0vO/kmXfbdQs/CYxsI2Ta0YbAIY/XFMD1WHHyAuzd27/tigvecO0LXaU7zlk29xNbNm84a2RgC2w2CD8Q2LzPRu9eG66d9G5CGMoXiYOm0iMCBtEpX8ntWjFN1hA3yiNTQ3qPc/zIJo/YVR+FHBipZEIkf9wMbkqEBxuSXztsOFTeJDV4DpHHrXoMx7QDPdMFensFRsY8CFKPrpknYM682Y9YTvGb3JrzfHnM31Yozjzat/2wxmsS4ADQ0dEMABuFEBsBvPjAg2FnS+Ox/xqMrp7r0gfY1r3A/r4CuppkzETAAVtLMZXkTCNrRzyZHsRkS5CkGNd0JLJ2UG1hSSZEZI2IVxvH09nqUTUpEj+YmiuZXtMakMsjG3xeRQVyeRRGhYp54WBMtu0eHMmjo7mKGa1j2LitBcuWLQnPXr5oYyHHPzR95um7Aawnk2mwr/Lx2j57YwwODkBw3hOUt3SVg/DOm/7tgfrVqweLCEax5QAwUiFoLQq0FQWKOcCxJLi1bKyRtOphYFR6UC3lSbUYgWXJT0YJmPEpH5jYTJge0Vsh4/x1F4ko3p2pSgNMhirYDLAsAYsBTJn3LCaiRBBzJP6L+h+uzVFX8NBUP4aGulGMlm1s3d2A1mYHVrFutOJcPjQ8TK94w3HH7LQstq25uflo39IjMl43AAcAITgAQnf3DTa8uGbTaY158m8rX9gUrFz7XPNTa/aUhg666GkQaC4R2BZFEAKB7H0dveajV7sBcIshAWxbfcqJSpAbANf0JHluiPrZxOGoxo2IaBNRD5UKMFOxOLYF2JaAZQE247CZUICP65DoKEB5PPka0i53i4VobvAwo30AI94Y+kbmDLe2Lutv7VhotTRUP1jfMvuJkLQMgoPb1usHFq+ff2KMnTt3gjGLjo0O52afeEu1vOsDn3noyYfe/YO7+vxc6C3saBK50bFR7N4fRkCmKs5FCKDiAUEgPXq2RSS4NLAt+SmXKSyLpqR4Mpkhio3hOoRAqPlkF+PIiaTfGCwGuKPAbU6OxeHYHLYlTX9+QFGpMgjo9i0S+EEI7NhHkcvVYXaXqLS1Vteu75tpz5130R31ez/3P4oLb3IbG+oqQRjy5paOo33rjvh4zXLwiUZXVxcg9asxUV0LWPZXXId95S/OWMzam+q/W1eozl+7aeOZOx7aw1xU4PkhKhUPDXUWinkLW/YFGB4jKDrSnW2xOD494sMKjJQSMEYjOhE1q6JxAFWUihdqJVIooMcgJ1Qn52reJJVVM6Ymyb2lZM/nAhRyHoZGKHb31SPnctTlPFjMBhcWprcSVEhH2Ny64LHpnYX1EAc/yvv6QmblMTTtZrGop2fsaN+vl3O8LgFuDuIuBGI2EIyV+6/O59ym2fMXf3lX3wPOgT29ISfuEi7EUhIMoKe9ilLjQdz5aB06ihZyNqCt20J5QTX4KKWKtmilFUa0owQhFwBVZaM5l2fCuUAQCnDO43gZLt8ARvNiEJCorQiAZKKHUjDzbhWN9QO490kbB/e7OPm4EjqntwIgf+o/GK5saW9ni04536NO2z8KXh1obW452rfkFR2ve4CnRyHfDAADAD4CAD+680GA4KzQ9y4sONUrpjWVF1jWTvzq2W3IuQyUVCC4hyAgCEIG2EzRAklRHCuOU9cAl7xdFsbhnCBQQA+IlugCQcDhh7JrAiUEjAkIQZW1I44LIZTCseUxHUuAkRDVaojA14qni3zeht1wFk46pgnz5pTWdc+w78y57LdC4JH27vOP9iU/quN1ycEPZxw8eBAALmLUn7N9927+3uv/k5++qHPW4rmtn925awcsxtDXtwMbth5EwbXQ3uygrSmHnEsSVgtGAccGXEfAsQRCTlCuEoxWCMoVoOIJVKoBxsohKp6U4DYjcGyptKaltGtT1BcEprWEKOQ9VEQz2lu7EIYhuqZ3omjvvKmtYdWWsfw11Ham02LB2gSB3zQ2Nh3tS/qqGP8F8HHG3r374Lpu485du8964cXVAKg/+xjxqW17rAsEZygVgP49zyHwhjE0xmAxwAsIeOiDwkNjXYCGUhUHh22EIcPwGMeOvQw5l2DX/ipGRjlCCBwcEWgoUDQUGerqXORcB57PwRjB0GiI5qYSLjrvFLQ2EhAaYFsfu781H37DD0J75qxj0dI67RHfrx5sbGo92pfsVTn+v6MoUx0dHe0AcBDAPQAgvC0AwdrOPazDDyi3aIDV1Q0YHh5D2bfhWALlqu+fdOKSG0dGRi9pKI75VV5G70gBSxdycDECe0MJ7S0MZHMZCG2cOC/Amu0cQdVGR0vOLhaLv3jhuT/fSJllW7as9Wo7BcybdyxKdQwh51QU2V5CsOWE+V1H+xK9JsZ/SfAjONauegKEoGP37v0NpfyoGCiX8fzGIi5cEoBZB7FyTRM62xhWbirDEi7OW+rjz1sEhg7a6GzLk+aW9kEhxN7zzjnjaP+V1834fz7WLesu7rSuAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDIyOjE0OjU3KzAwOjAwh/AbLwAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QyMjoxNDo1NyswMDowMPato5MAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 2}

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: 70465711
{'hecke_orbit_code': 175640385501011136, 'n': 1, 'trace_an': 2}
id: 70465712
{'hecke_orbit_code': 175640385501011136, 'n': 2, 'trace_an': 0}
id: 70465713
{'hecke_orbit_code': 175640385501011136, 'n': 3, 'trace_an': 1}
id: 70465714
{'hecke_orbit_code': 175640385501011136, 'n': 4, 'trace_an': 0}
id: 70465715
{'hecke_orbit_code': 175640385501011136, 'n': 5, 'trace_an': -2}
id: 70465716
{'hecke_orbit_code': 175640385501011136, 'n': 6, 'trace_an': 0}
id: 70465717
{'hecke_orbit_code': 175640385501011136, 'n': 7, 'trace_an': -1}
id: 70465718
{'hecke_orbit_code': 175640385501011136, 'n': 8, 'trace_an': 0}
id: 70465719
{'hecke_orbit_code': 175640385501011136, 'n': 9, 'trace_an': -3}
id: 70465720
{'hecke_orbit_code': 175640385501011136, 'n': 10, 'trace_an': 0}
id: 70465721
{'hecke_orbit_code': 175640385501011136, 'n': 11, 'trace_an': 1}
id: 70465722
{'hecke_orbit_code': 175640385501011136, 'n': 12, 'trace_an': 0}
id: 70465723
{'hecke_orbit_code': 175640385501011136, 'n': 13, 'trace_an': 3}
id: 70465724
{'hecke_orbit_code': 175640385501011136, 'n': 14, 'trace_an': 0}
id: 70465725
{'hecke_orbit_code': 175640385501011136, 'n': 15, 'trace_an': -1}
id: 70465726
{'hecke_orbit_code': 175640385501011136, 'n': 16, 'trace_an': 0}
id: 70465727
{'hecke_orbit_code': 175640385501011136, 'n': 17, 'trace_an': 1}
id: 70465728
{'hecke_orbit_code': 175640385501011136, 'n': 18, 'trace_an': 0}
id: 70465729
{'hecke_orbit_code': 175640385501011136, 'n': 19, 'trace_an': -3}
id: 70465730
{'hecke_orbit_code': 175640385501011136, 'n': 20, 'trace_an': 0}
id: 70465731
{'hecke_orbit_code': 175640385501011136, 'n': 21, 'trace_an': 2}
id: 70465732
{'hecke_orbit_code': 175640385501011136, 'n': 22, 'trace_an': 0}
id: 70465733
{'hecke_orbit_code': 175640385501011136, 'n': 23, 'trace_an': -2}
id: 70465734
{'hecke_orbit_code': 175640385501011136, 'n': 24, 'trace_an': 0}
id: 70465735
{'hecke_orbit_code': 175640385501011136, 'n': 25, 'trace_an': 2}
id: 70465736
{'hecke_orbit_code': 175640385501011136, 'n': 26, 'trace_an': 0}
id: 70465737
{'hecke_orbit_code': 175640385501011136, 'n': 27, 'trace_an': -2}
id: 70465738
{'hecke_orbit_code': 175640385501011136, 'n': 28, 'trace_an': 0}
id: 70465739
{'hecke_orbit_code': 175640385501011136, 'n': 29, 'trace_an': 14}
id: 70465740
{'hecke_orbit_code': 175640385501011136, 'n': 30, 'trace_an': 0}
id: 70465741
{'hecke_orbit_code': 175640385501011136, 'n': 31, 'trace_an': -7}
id: 70465742
{'hecke_orbit_code': 175640385501011136, 'n': 32, 'trace_an': 0}
id: 70465743
{'hecke_orbit_code': 175640385501011136, 'n': 33, 'trace_an': -7}
id: 70465744
{'hecke_orbit_code': 175640385501011136, 'n': 34, 'trace_an': 0}
id: 70465745
{'hecke_orbit_code': 175640385501011136, 'n': 35, 'trace_an': 1}
id: 70465746
{'hecke_orbit_code': 175640385501011136, 'n': 36, 'trace_an': 0}
id: 70465747
{'hecke_orbit_code': 175640385501011136, 'n': 37, 'trace_an': -4}
id: 70465748
{'hecke_orbit_code': 175640385501011136, 'n': 38, 'trace_an': 0}
id: 70465749
{'hecke_orbit_code': 175640385501011136, 'n': 39, 'trace_an': 14}
id: 70465750
{'hecke_orbit_code': 175640385501011136, 'n': 40, 'trace_an': 0}
id: 70465751
{'hecke_orbit_code': 175640385501011136, 'n': 41, 'trace_an': -9}
id: 70465752
{'hecke_orbit_code': 175640385501011136, 'n': 42, 'trace_an': 0}
id: 70465753
{'hecke_orbit_code': 175640385501011136, 'n': 43, 'trace_an': 0}
id: 70465754
{'hecke_orbit_code': 175640385501011136, 'n': 44, 'trace_an': 0}
id: 70465755
{'hecke_orbit_code': 175640385501011136, 'n': 45, 'trace_an': 3}
id: 70465756
{'hecke_orbit_code': 175640385501011136, 'n': 46, 'trace_an': 0}
id: 70465757
{'hecke_orbit_code': 175640385501011136, 'n': 47, 'trace_an': -6}
id: 70465758
{'hecke_orbit_code': 175640385501011136, 'n': 48, 'trace_an': 0}
id: 70465759
{'hecke_orbit_code': 175640385501011136, 'n': 49, 'trace_an': -11}
id: 70465760
{'hecke_orbit_code': 175640385501011136, 'n': 50, 'trace_an': 0}
id: 70465761
{'hecke_orbit_code': 175640385501011136, 'n': 51, 'trace_an': 13}
id: 70465762
{'hecke_orbit_code': 175640385501011136, 'n': 52, 'trace_an': 0}
id: 70465763
{'hecke_orbit_code': 175640385501011136, 'n': 53, 'trace_an': 8}
id: 70465764
{'hecke_orbit_code': 175640385501011136, 'n': 54, 'trace_an': 0}
id: 70465765
{'hecke_orbit_code': 175640385501011136, 'n': 55, 'trace_an': -1}
id: 70465766
{'hecke_orbit_code': 175640385501011136, 'n': 56, 'trace_an': 0}
id: 70465767
{'hecke_orbit_code': 175640385501011136, 'n': 57, 'trace_an': 6}
id: 70465768
{'hecke_orbit_code': 175640385501011136, 'n': 58, 'trace_an': 0}
id: 70465769
{'hecke_orbit_code': 175640385501011136, 'n': 59, 'trace_an': -10}
id: 70465770
{'hecke_orbit_code': 175640385501011136, 'n': 60, 'trace_an': 0}
id: 70465771
{'hecke_orbit_code': 175640385501011136, 'n': 61, 'trace_an': 3}
id: 70465772
{'hecke_orbit_code': 175640385501011136, 'n': 62, 'trace_an': 0}
id: 70465773
{'hecke_orbit_code': 175640385501011136, 'n': 63, 'trace_an': 4}
id: 70465774
{'hecke_orbit_code': 175640385501011136, 'n': 64, 'trace_an': 0}
id: 70465775
{'hecke_orbit_code': 175640385501011136, 'n': 65, 'trace_an': -3}
id: 70465776
{'hecke_orbit_code': 175640385501011136, 'n': 66, 'trace_an': 0}
id: 70465777
{'hecke_orbit_code': 175640385501011136, 'n': 67, 'trace_an': 20}
id: 70465778
{'hecke_orbit_code': 175640385501011136, 'n': 68, 'trace_an': 0}
id: 70465779
{'hecke_orbit_code': 175640385501011136, 'n': 69, 'trace_an': -1}
id: 70465780
{'hecke_orbit_code': 175640385501011136, 'n': 70, 'trace_an': 0}
id: 70465781
{'hecke_orbit_code': 175640385501011136, 'n': 71, 'trace_an': -3}
id: 70465782
{'hecke_orbit_code': 175640385501011136, 'n': 72, 'trace_an': 0}
id: 70465783
{'hecke_orbit_code': 175640385501011136, 'n': 73, 'trace_an': 2}
id: 70465784
{'hecke_orbit_code': 175640385501011136, 'n': 74, 'trace_an': 0}
id: 70465785
{'hecke_orbit_code': 175640385501011136, 'n': 75, 'trace_an': 1}
id: 70465786
{'hecke_orbit_code': 175640385501011136, 'n': 76, 'trace_an': 0}
id: 70465787
{'hecke_orbit_code': 175640385501011136, 'n': 77, 'trace_an': -8}
id: 70465788
{'hecke_orbit_code': 175640385501011136, 'n': 78, 'trace_an': 0}
id: 70465789
{'hecke_orbit_code': 175640385501011136, 'n': 79, 'trace_an': -12}
id: 70465790
{'hecke_orbit_code': 175640385501011136, 'n': 80, 'trace_an': 0}
id: 70465791
{'hecke_orbit_code': 175640385501011136, 'n': 81, 'trace_an': -2}
id: 70465792
{'hecke_orbit_code': 175640385501011136, 'n': 82, 'trace_an': 0}
id: 70465793
{'hecke_orbit_code': 175640385501011136, 'n': 83, 'trace_an': 4}
id: 70465794
{'hecke_orbit_code': 175640385501011136, 'n': 84, 'trace_an': 0}
id: 70465795
{'hecke_orbit_code': 175640385501011136, 'n': 85, 'trace_an': -1}
id: 70465796
{'hecke_orbit_code': 175640385501011136, 'n': 86, 'trace_an': 0}
id: 70465797
{'hecke_orbit_code': 175640385501011136, 'n': 87, 'trace_an': 12}
id: 70465798
{'hecke_orbit_code': 175640385501011136, 'n': 88, 'trace_an': 0}
id: 70465799
{'hecke_orbit_code': 175640385501011136, 'n': 89, 'trace_an': -12}
id: 70465800
{'hecke_orbit_code': 175640385501011136, 'n': 90, 'trace_an': 0}
id: 70465801
{'hecke_orbit_code': 175640385501011136, 'n': 91, 'trace_an': 11}
id: 70465802
{'hecke_orbit_code': 175640385501011136, 'n': 92, 'trace_an': 0}
id: 70465803
{'hecke_orbit_code': 175640385501011136, 'n': 93, 'trace_an': -16}
id: 70465804
{'hecke_orbit_code': 175640385501011136, 'n': 94, 'trace_an': 0}
id: 70465805
{'hecke_orbit_code': 175640385501011136, 'n': 95, 'trace_an': 3}
id: 70465806
{'hecke_orbit_code': 175640385501011136, 'n': 96, 'trace_an': 0}
id: 70465807
{'hecke_orbit_code': 175640385501011136, 'n': 97, 'trace_an': 27}
id: 70465808
{'hecke_orbit_code': 175640385501011136, 'n': 98, 'trace_an': 0}
id: 70465809
{'hecke_orbit_code': 175640385501011136, 'n': 99, 'trace_an': -9}
id: 70465810
{'hecke_orbit_code': 175640385501011136, 'n': 100, 'trace_an': 0}

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.