Embedded newform data - 7098.2.a.bm.1.2

Formats: - HTML - YAML - JSON - 2026-10-08T02:01:52.205866

• mf_newforms •

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

  
  {'Nk2': 28392, 'analytic_conductor': 56.67781535470482, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [7, 1], [13, 1]], 'atkin_lehner_string': '+-++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [7098, 1, [4733, 5071, 6931], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 57, 'field_disc_factorization': [[3, 1], [19, 1]], 'field_poly': [-14, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-14, 1, 1]], [11, [-4, 1]], [17, [-3, 1]]], 'hecke_orbit': 39, 'hecke_orbit_code': 171136785873640378, 'hecke_ring_generator_nbound': 5, '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': '7098.2.a.bm', 'level': 7098, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'minimal_twist': '546.2.l.j', 'nf_label': '2.2.57.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+q^{3}+q^{4}-\\beta q^{5}-q^{6}-q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7098.2.a', 'trace_display': [-2, 2, -1, -2], 'trace_hash': 682414439948269582, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.056', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.934', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.252', 'prec': 10}, {'__RealLiteral__': 0, 'data': '9.474', 'prec': 14}, {'__RealLiteral__': 0, 'data': '1.880', 'prec': 14}, {'__RealLiteral__': 0, 'data': '66.738', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.007', 'prec': 4}, 'traces': [2, -2, 2, 2, -1, -2, -2, -2, 2, 1, 8, 2, 0, 2, -1, 2, 6, -2, 2, -1, -2, -8, -3, -2, 19, 0, 2, -2, 9, 1, -5, -2, 8, -6, 1, 2, 7, -2, 0, 1, -9, 2, -1, 8, -1, 3, -2, 2, 2, -19, 6, 0, 8, -2, -4, 2, 2, -9, 1, -1, -18, 5, -2, 2, 0, -8, 13, 6, -3, -1, -3, -2, -19, -7, 19, 2, -8, 0, -16, -1, 2, 9, 1, -2, -3, 1, 9, -8, -9, 1, 0, -3, -5, 2, 56, -2, -14, -2, 8, 19, 11, -6, 3, 0, 1, -8, -10, 2, -6, 4, 7, -2, 7, -2, 30, 9, 0, -1, -6, 1, 10, 18, -9, -5, -33, 2, 16, -2, -1, 0, -13, 8, -2, -13, -1, -6, -23, 3, 12, 1, -2, 3, 0, 2, -33, 19, 2, 7, 2, -19, 4, -2, 6, 8, -26, 0, -15, 16, 8, 1, 3, -2, 19, -9, -4, -1, 0, 2, 0, 3, 2, -1, 6, -9, -19, 8, 1, 9, 18, -1, -11, 0, -18, 3, 25, 5, 24, -2, -2, -56, 21, 2, 27, 14, 0, 2, 21, -8, 1, -19, 13, 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2, 20, -29, -6, 24, -24, -19, 2, -43, -9, -23, 0, 3, 90, -1, -76, -9, -120, 13, 16, 9, -30, 4, 9, 0, -90, -5, -36, 6, 73, -11, -76, 31, 27, 37, -46, 1, 0, -2, 20, -54, -100, -9, 79, -45, -43, -9, 25, -28, -17, 0, -38, -60, 15, 6, 40, -19, 170, -21, -116, -7, -124, -18, 0, 78, -60, 33, -42, 47, -23, 8, -99, 23, 16, -27, -44, 0, -24, -3, -5, 21, 76, -14, 12, 1, 74, -26, 20, 57, 0, -3, -30, -28, -67, -10, -70, 86, -122, 9, 7, 90, -106, 0, 48, 57, 6, 64, 81, -12, 38, 10, 0, 18, -48, 8, 0, 38, -5, -15, 28, 7, 120, 21, -34, -64, -132, -1, -56, 0, 11, 28, 76, 9, -78, 16, 19, -120, -20, 12, 6, -11, 0, 0, -257, 2, 6, -8, -10, 6, 31, 8, 61, -70, -34, 0, 64, -57, -101, -36, 18, -23, 19, -3, -61, 8, 44, 1, 0, -18, 120, 15, 56, -50, 12, 10, -19, 15, -51, -10, 83, 0, 57, 3, -10, 57, 19, 86, -12, -78, 9, -6, -224, -19, 0, 34, 20, 25, -153, -2, 14, -22, 54, 4, 8, 13, -96, 0, -16, -76, 148, 5, 95, -36, -64, 19, 57, 33, -31, -1, 0, -39, 224, 6, -83, 24, -14, -22, -132, -54, 9, -9, 33, 0, 18, -19, 12, 120, 15, -2, -23, 4, -78, -42, 29, 60, 0, -4, 240, 43, -12, -50, -79, -2, -160, 8, 33, -19, 156, 0, -40, -2, -86, -1, -154, -54, -96, -56, 78, 48, -66, -7, 0, 83, -16, -42, -45, 24, 88, 0, 8, 21, -38, -29, 23, 0, -116, -22, -16, -2, 115, -72, 48, 48, 58, 2, -6, -18, 0, -6, 39, -8, -4, 7, 6, -54, 60, 19, -95, 27, 24, 0, 149, 36, 88, -22, 1, -50, 51, -7, -33, 87, 91, 14, 0, -4, 60, 3, -57, -106, 4, 12, 0, -48, 11, 20, -80, 0, -59, 54, -20, -64, 96, 2, 9, 21, 4, 97, -108, -34, 0, 2, 9, 36, -30, -33, 91, 132, 13, -1, -4, -6, 252, 0, 34, 21, 51, -30, 76, 5, 18, -16, -8, -1, 136, 6, 0, 89, 57, -8, 170, 76, 38, -46, -105, -6, 39, 108, 3, 0, -15, -9, -233, 1, -92, -27, -13, 26, -49, -17, 2, -64, 0, 30, -18, -52, 10, -19, 31, 39, 18, -23, -12, -27, 3, 0, 40, 95, 61, 64, -6, 13, -24, 8, -10, 3, 71, -56, 0, -3, -30, -24, 152, 15, 120, -11, 42, 40, 2, 1, -1, 0, 1, 57, 76, 4, 0, -30, -12, -9, 70, -16, 94, -24, 0, 9, -28, 38, 7, -21, 0, -5, -10, 6, -63, 31, 8, 0, 7, -8, -7, 18, 18, 90, 18, 3, 232, 33, 36, 28, 0, 40, 192, -16, 23, -43, -88, -1, 79, 52, -21, -3, 133, 0, 65, -78, -10, -8, 1, 39, 48, 28, -99, -11, 67, -3, 0, 114, 22, 60, 104, -10, 86, -1, 6, 17, -156, 50, 42, 0, -1, -62, 212, 2, -61, 20, -12, 19, -24, 28, -56, -3, 0, 8, -89, -18, 21, 43, -87, 20, 7, -19, 182, -19, -36, 0, 33, -1, 18, -48, -6, 3, -140, -20, 9, 52, -2, -95, 0, 9, -128, 12, -96, 91, -11, -27, -144, 25, 2, 1, 0, 0, -45, -20, 87, 8, 131, 4, 82, 31, 2, 46, -57, 5, 0, -38, -8, -1, -172, -3, -72, -31, -86, -34, 42, 1, -18, 0, -38, 24, 57, -41, -14, 10, 7, 46, 112, 33], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [-0.7071067811865476, 0.0], [0.5773502691896257, 0.0], [0.5, 0.0], [1.4645875038634342, 0.0], [-0.408248290463863, 0.0], [-0.37796447300922725, 0.0], [-0.3535533905932738, 0.0], [0.3333333333333333, 0.0], [-1.0356197556229132, 0.0], [1.2060453783110545, 0.0], [0.28867513459481287, 0.0], [0.0, 0.0], [0.2672612419124244, 0.0], [0.8455799896073158, 0.0], [0.25, 0.0], [0.7276068751089989, 0.0], [-0.23570226039551584, 0.0], [1.961466541439439, 0.0], [0.7322937519317171, 0.0], [-0.2182178902359924, 0.0], [-0.8528028654224418, 0.0], [0.474353030663591, 0.0], [-0.2041241452319315, 0.0], [1.145016556472925, 0.0], [0.0, 0.0], [0.19245008972987526, 0.0], [-0.18898223650461363, 0.0], [0.13464449247755678, 0.0], [-0.5979153446869834, 0.0], [-1.1270084020664115, 0.0], [-0.1767766952966369, 0.0], [0.6963106238227914, 0.0], [-0.5144957554275265, 0.0], [-0.5535620440736425, 0.0], [0.16666666666666666, 0.0], [1.1959890233095631, 0.0], [-1.3869662925223516, 0.0], [0.0, 0.0], [-0.5178098778114566, 0.0], [-0.11323890580254094, 0.0], [0.1543033499620919, 0.0], [1.6507591512736832, 0.0], [0.6030226891555273, 0.0], [0.48819583462114474, 0.0], [-0.3354182446586155, 0.0], [-1.247121527209174, 0.0], [0.14433756729740643, 0.0], [0.14285714285714285, 0.0], [-0.8096489716528747, 0.0], [0.42008402520840293, 0.0], [0.0, 0.0], [1.5864917715427784, 0.0], [-0.13608276348795434, 0.0], [1.7663589901666186, 0.0], [0.1336306209562122, 0.0], [1.1324532357065045, 0.0], [-0.09520803368030148, 0.0], [-1.4092626293297215, 0.0], [0.4227899948036579, 0.0], [-1.1523319193960637, 0.0], [0.7969152835553747, 0.0], [-0.12598815766974242, 0.0], [0.125, 0.0], [0.0, 0.0], [-0.49236596391733095, 0.0], [1.2552809272855474, 0.0], [0.36380343755449945, 0.0], [0.27386784994453905, 0.0], [0.3914274751719591, 0.0], [0.2699830027799057, 0.0], [-0.11785113019775792, 0.0], [-1.55371154008571, 0.0], [-0.8456919486068679, 0.0], [0.6610756171062216, 0.0], [0.9807332707197195, 0.0], [-0.4558423058385518, 0.0], [0.0, 0.0], [-0.9000703207408192, 0.0], [0.36614687596585854, 0.0], [0.1111111111111111, 0.0], [0.08007199818712138, 0.0], [-1.1881708547534182, 0.0], [-0.1091089451179962, 0.0], [1.0656439370097623, 0.0], [-1.1672629899713713, 0.0], [0.07773703397681794, 0.0], [-0.4264014327112209, 0.0], [-0.8771394707921625, 0.0], [-0.34520658520763775, 0.0], [0.0, 0.0], [0.2371765153317955, 0.0], [-0.6506786043120126, 0.0], [0.8818480888533303, 0.0], [2.8727393858384316, 0.0], [-0.10206207261596575, 0.0], [-1.4773118597181232, 0.0], [-0.10101525445522108, 0.0], [0.40201512610368484, 0.0], [0.5725082782364626, 0.0]], 'angles': [None, None, -0.1192249066155099, None, -0.1469814168498227, None, -0.1907389923692939, -0.03129240117406588, -0.21188901191141968, -0.23927722152438313, -0.34527356862901903, -0.14798222292994515, -0.25901608742619703, -0.09548057400450201, -0.35715730312214594, -0.10419475640869552, -0.37444379503748904, -0.347725905610097, -0.14201040564036457, -0.22844964317886363, -0.3915932982235004, -0.32429427729286076, -0.35124294921804017, -0.32225738941323756, -0.38226957482091856, -0.17366569461529793, -0.2678751853657376, -0.35373734577946986, -0.3342990175796937, -0.30998644412375304, -0.1922502035000134, -0.3240852343975844, -0.25119148297066235, -0.07365001083753768, -0.24347893508386656, -0.12753039039412098, -0.32427342900274947, -0.21400967065706952, -0.25, -0.18432362965747418, -0.14387107480529476, -0.21527197811841894, -0.1636269002226315, -0.237527170893041, -0.2546767345376221, -0.312670534585015, -0.30070445159312564, -0.35479514135152207, -0.2988243132905335, -0.3668319747358793, -0.1177331507175738, -0.2617205880303533, -0.11511462112861535, -0.2210847569514968, -0.17251668788171737, -0.29525922303001245, -0.34244609159465683, -0.34047816091706035, -0.2877662776226436, -0.25866673264498713, -0.3801627113952253, -0.19928557794309323, -0.1717165585324633, -0.19210116497798974, -0.39275244627883577, -0.28400217643395576, -0.26753132513630773, -0.28174584551840304, -0.18194253283443568, -0.3296338021866443, -0.23110706581905424, -0.38935182657920847, -0.22612912277402927, -0.2327627728796521, -0.16414362057362836, -0.03497757482865235, -0.16231567662770624, -0.31456008495127713, -0.2710231256966161, -0.3459035591283662, -0.18872711503141776, -0.252812284680098, -0.2279849794013657, -0.2604288572168657, -0.31689752462889714, -0.1735565575445707, -0.29217665562310935, -0.18491929316249683, -0.32037233047709546, -0.2668580615453921, -0.37637736518676035, -0.32552222656645763, -0.3645770077274574, -0.2683550054916848, -0.2170800701181539, -0.2174870306222471, -0.10401002617285107, -0.2436365775306393, -0.11557515760600671, -0.20714687585164304], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -3.274917217635375, 'hecke_orbit': 39, 'hecke_orbit_code': 171136785873640378, 'label': '7098.2.a.bm.1.2', 'level': 7098, 'weight': 2}
• mf_newspaces •

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

  
  {'ALdims': [11, 9, 10, 9, 10, 9, 11, 9, 13, 6, 7, 12, 7, 12, 13, 6], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], 'ALdims_old': [67, 87, 81, 76, 81, 75, 80, 76, 78, 79, 77, 77, 84, 73, 71, 85], 'Nk2': 28392, 'analytic_conductor': 56.67781535470482, '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': [7098, 1, [4733, 5071, 6931], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1401, 'dim': 154, 'eis_dim': 111, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 17], 'hecke_orbit_code': 33561530, '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, 1, 1, 1, 1, 2, 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, 3, 3, 4, 4, 6, 6, 6, 6, 6, 6], 'label': '7098.2.a', 'level': 7098, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'mf_dim': 1512, 'mf_new_dim': 154, 'num_forms': 73, 'plus_dim': 66, 'prim_orbit_index': 1, 'relative_dim': 154, 'sturm_bound': 2912, 'trace_bound': 17, 'trace_display': [-2, 0, -4, 0], 'traces': [154, -2, 0, 154, -4, 0, 0, -2, 154, -4, -8, 0, 0, 0, -8, 154, -4, -2, 0, -4, 2, 0, -16, 0, 134, 0, 0, 0, -12, 0, -16, -2, 0, -20, -8, 154, 20, 0, 0, -4, -4, -2, -8, -8, -4, 8, 16, 0, 154, 2, 0, 0, -28, 0, -16, 0, 24, -4, -32, -8, 12, 32, 0, 154, 0, 0, 0, -4, 0, 8, 0, -2, 28, 4, 32, 0, -16, 0, -16, -4, 154, 12, 16, 2, 40, 24, 0, 0, 12, -4, 0, -16, 32, 16, 16, 0, 44, -2, -8, 134, -4, 16, 16, 0, -4, 12, 24, 0, 4, 80, 32, 0, 28, -24, 32, -12, 0, 32, 16, 0, 138, -4, -8, -16, 24, 0, 64, -2, 32, 0, 16, 0, 0, 24, -8, -20, -20, 16, -16, -8, 0, 24, 0, 154, 8, -52, 0, 20, -76, 0, 16, 0, -4, 0, -16, 0, -36, 32, -32, -4, -16, -2, -48, -4, 16, 0, 0, -2, 0, 304, 0, -8, 260, -16, -32, -8, 16, 260, -88, -4, -4, 0, 24, 8, 256, -16, 16, 16, 2, 48, -64, 0, 4, 292, 0, 154, 20, 0, -64, 2, 16, -20, 0, 0, 288, 16, -16, 0, -144, 4, -88, -28, -32, -40, 16, 0, -8, 316, 32, -16, 0, -16, -16, 0, 134, 12, 48, 24, -68, 32, 8, -4, 164, 0, -96, -32, 16, -8, -80, -8, -4, -10, 0, 12, -4, -8, 0, 32, -48, 288, -48, 0, 16, 16, -16, 154, 60, 16, -32, 0, -12, 48, 0, 0, 8, -8, -24, 0, 164, 0, 16, -4, 0, -52, -24, 0, -20, -16, -16, 8, -68, -32, -80, 0, 16, 0, 0, -2, 46, 224, 16, 28, -68, 0, -16, 4, 0, -44, 0, 32, 0, 0, -56, 0, -56, -20, 16, -16, 24, -32, -144, 0, 244, 12, -8, -16, 52, -32, -16, -4, -32, -16, -64, 154, 0, 8, 0, 12, 16, 0, 0, 16, 20, 0, -32, 2, -60, 0, -80, 40, -112, 0, 0, 24, -64, -36, -104, 0, -116, 32, 0, 0, -36, -8, -160, 12, -12, -40, -16, -4, 58, -36, -32, 0, 192, 48, -16, -16, -4, -24, -16, 32, -84, -32, -48, 16, 0, -2, -80, 16, 0, -8, 48, 0, 16, -68, -8, 44, -60, 0, -96, -2, -72, 284, 160, -8, 44, -80, 16, 134, 28, 0, 0, -4, -4, 0, -48, 16, -68, -88, -64, 16, -40, 8, -48, 0, -32, -64, -96, -4, 52, 24, 16, 12, 332, -16, 48, 24, 0, 0, 160, 0, -68, 0, 16, 4, 96, -48, 80, 80, 154, 0, -56, 32, -24, 32, 64, 0, -36, 2, -48, 28, 0, -144, 0, -24, 68, 212, 0, 32, -4, 8, -48, -12, -80, 44, -32, 0, -32, 0, -24, 32, -32, 0, 64, 16, -28, -88, 48, 0, 0, 44, -24, 138, 56, 0, 0, -4, 32, -4, -72, -8, 304, 0, -16, -16, 32, -56, -96, 24, 32, 80, 16, 0, 104, 16, 0, 64, -68, 0, 0, -2, 24, -52, 80, 32, -96, -48, -104, 0, 60, -4, -224, 16, 30, 120, 192, 0, 66, 256, -32, 0, 0, -24, 176, 24, 0, -84, -8, -8, 36, 32, -40, -20, 56, 0, 56, -20, 12, -64, 32, 16, -16, -12, 0, -16, 180, 32, 0, -8, -16, -36, -128, 0, 24, -64, 0, 24, 228, -16, -104, 0, -32, 24, -48, 154, 44, -70, 0, 8, -8, 0, 112, -52, 0, -116, 80, 0, -144, 80, -32, 20, -36, 0, 16, -76, 24, 0, -256, 0, -4, -16, 0, 16, 108, -24, -96, 0, 20, 352, 0, -4, -92, -96, 0, 0, 28, -24, -64, -16, 0, 144, 32, 0, 82, -36, -16, -36, -24, 8, -112, 32, -32, -12, -96, -32, 0, -80, 0, -4, -116, 16, -32, -16, 16, -112, -80, -2, -176, 0, 16, -48, 156, 32, 96, -4, 28, 16, -120, 16, -84, -24, 0, 0, 16, 4, -96, 0, 16, -16, -16, -2, -92, -100, 32, 0, 276, -64, -48, 304, 0, 0, -72, 0, 112, 0, 24, -8, 0, 48, -80, 260, -16, 24, -64, -16, 40, 132, -144, -32, 284, 0, -304, -8, -48, -20, -56, 16, -76, 64, -16, 260, 32, -20, 0, -88, 112, -40, -256, -4, 40, 38, -64, -4, 68, 0, -176, 0, 154, 88, -272, 24, -100, -80, -8, 8, -64, 12, -112, 256, 0, -16, 0, -16, 320, -60, 16, 16, -64, 0, -144, 16, -120, 0, -336, 2, 180, -120, -160, 48, -100, 0, -48, -64, 40, 32, 0, 0, -68, 64, -48, 4, -100, 24, -176, 292, 12, -100, -128, 0, -80, 64, 0, 154, -152, 24, 48, 20, -64, -80, 32, 0, 0, 324, -96, -64, 100, 16, -96, 2, 12, -4, -192, 16, -80, 0, -40, -20, -100, -4, 48, 0, 16, 32, -48, 0, -96, -132, 0, 288, -188, 0, -48, 16, 96, 16, -72, -16, -276, 48, -96, 0, -4, -40, -208, -144, 32, 0, -128, 4, -2, -108, 16, -88, 0, 16, -64, -28, -32, -44, 64, -32, 92, -8, 16, -40, -292, 0, -192, 16, -36, -56, -16, 0, 56, -20, -96, -8, 32, -16, 0, 316, 44, -80, 48, 32, -124, 0, 56, -16, -164, -2, -328, 0, -176, -8, -32, -16, 48, 72, -8, -16, -160, -48, -240, 0, 0, 196, -288, 134, 352, -80, -24, 12, -88, -32, -152, 48, -4, 0, -144, 24, -96, -84, -64, -68, 56, 16, -64, 32, -8, 44, 0, 8, 28, 64, 16, -4, -148, 0, 0, 164, 0, -16, -16, 0, -148, 32, -128, -96, 204, 48, -112, -32, -4, -112, 88, 16, 0, -96, -48, -8, 132, 12, 32, -80, -64, -32, -32, -8, 18, 0, 24, -4, 112, 8, 32, -10, -112, -168, -160, 0, 40, 48, 0, 12, 188, 16, -224, -4, 4, -40, 64, -8, -184, 200, -48, 0, 32, 80, -192, 32, -32, 48, -16, -48, -100, -40, 32, 288], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 48909112
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 171136785873640378, 'source_is_minimal': False, 'source_label': '7098.2.a.bm.1.2', 'source_level': 7098, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 171136785873640378, 'target_is_minimal': False, 'target_label': '7098.2.a.bm.1.2', 'target_level': 7098, 'twist_class_label': '546.2.l.j.211.1', 'twist_class_level': 546, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48909113
    {'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 171136785873640378, 'source_is_minimal': False, 'source_label': '7098.2.a.bm.1.2', 'source_level': 7098, 'target_conrey_index': 211, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40533152594133538, 'target_is_minimal': True, 'target_label': '546.2.l.j.211.1', 'target_level': 546, 'twist_class_label': '546.2.l.j.211.1', 'twist_class_level': 546, 'twisting_char_label': '13.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48909114
    {'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 171136785873640378, 'source_is_minimal': False, 'source_label': '7098.2.a.bm.1.2', 'source_level': 7098, 'target_conrey_index': 295, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40533152594133538, 'target_is_minimal': True, 'target_label': '546.2.l.j.295.1', 'target_level': 546, 'twist_class_label': '546.2.l.j.211.1', 'twist_class_level': 546, 'twisting_char_label': '13.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 48909115
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 171136785873640378, 'source_is_minimal': False, 'source_label': '7098.2.a.bm.1.2', 'source_level': 7098, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 234187180656827322, 'target_is_minimal': False, 'target_label': '7098.2.a.ca.1.1', 'target_level': 7098, 'twist_class_label': '546.2.l.j.211.1', 'twist_class_level': 546, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 48909116
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 171136785873640378, 'source_is_minimal': False, 'source_label': '7098.2.a.bm.1.2', 'source_level': 7098, 'target_conrey_index': 757, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 103583959694181990, 'target_is_minimal': False, 'target_label': '1638.2.r.x.757.2', 'target_level': 1638, 'twist_class_label': '546.2.l.j.211.1', 'twist_class_level': 546, 'twisting_char_label': '39.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 48909117
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 171136785873640378, 'source_is_minimal': False, 'source_label': '7098.2.a.bm.1.2', 'source_level': 7098, 'target_conrey_index': 1387, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 103583959694181990, 'target_is_minimal': False, 'target_label': '1638.2.r.x.1387.2', 'target_level': 1638, 'twist_class_label': '546.2.l.j.211.1', 'twist_class_level': 546, 'twisting_char_label': '39.23', 'twisting_conrey_index': 23, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4376700
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 171136785873640378, 'p': 2}
  • id: 4376701
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 171136785873640378, 'p': 3}
  • id: 4376702
    {'charpoly_factorization': [[[-14, 1, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 5}
  • id: 4376703
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 171136785873640378, 'p': 7}
  • id: 4376704
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 171136785873640378, 'p': 11}
  • id: 4376705
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 171136785873640378, 'p': 13}
  • id: 4376706
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 171136785873640378, 'p': 17}
  • id: 4376707
    {'charpoly_factorization': [[[-56, -2, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 19}
  • id: 4376708
    {'charpoly_factorization': [[[-12, 3, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 23}
  • id: 4376709
    {'charpoly_factorization': [[[6, -9, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 29}
  • id: 4376710
    {'charpoly_factorization': [[[-8, 5, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 31}
  • id: 4376711
    {'charpoly_factorization': [[[-2, -7, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 37}
  • id: 4376712
    {'charpoly_factorization': [[[6, 9, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 41}
  • id: 4376713
    {'charpoly_factorization': [[[-128, 1, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 43}
  • id: 4376714
    {'charpoly_factorization': [[[-56, 2, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 47}
  • id: 4376715
    {'charpoly_factorization': [[[-41, -8, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 53}
  • id: 4376716
    {'charpoly_factorization': [[[-128, -1, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 59}
  • id: 4376717
    {'charpoly_factorization': [[[9, 1], 2]], 'hecke_orbit_code': 171136785873640378, 'p': 61}
  • id: 4376718
    {'charpoly_factorization': [[[28, -13, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 67}
  • id: 4376719
    {'charpoly_factorization': [[[-12, 3, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 71}
  • id: 4376720
    {'charpoly_factorization': [[[76, 19, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 73}
  • id: 4376721
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 171136785873640378, 'p': 79}
  • id: 4376722
    {'charpoly_factorization': [[[-128, -1, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 83}
  • id: 4376723
    {'charpoly_factorization': [[[6, 9, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 89}
  • id: 4376724
    {'charpoly_factorization': [[[-8, 14, 1], 1]], 'hecke_orbit_code': 171136785873640378, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 39, 'label': '7098.2.a.bm', 'level': 7098, 'portrait': 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MCJCzV6Q0u7Lmj4AklCEKS0Gyndgc+JBQiNj7GW/VsjeoOUs0uamZbHZVsTdm7q02yECGmJIkFnUGex4zPTEHjS4+yCz+EzguPnE04uJwT1Ad9xU5/vvgUCOc3BE21OXlCcy5l70XJ4yfKiaxb5xR9ZZev0NMfPzXJuqcHiqmZpTbLaSej0E7qDlE4vIRV1vNntZveerX81PVV/ZxQl3d/4N2/7VkPiG3r8nQZ4p9MlDGOUku+6//GjL/2F3/5b+cabDr/0Z77nnL6wsomVTou1XsBaV7PS1az2YKWTstqJWe6knFuDI0uC+fk1/s8fW+bmKxqcujDL2YUmZ5c0F5Yt55cSTi+mLPQSpmdHvOy6Pi/eD76sE6iACys1zi1pzq8IBiEkiaHmG5q1lJmpBAOcOJ/Q7cOuTR7Neoi1AoRPf2jYuTlkeU2DdVJkrQ9hAhbLSidi20aP3lAhlEWYkHbNY+eWEWsDwYmzmtRo5tqSVk0QeJAkgkEoOb8iObdsubCaEAQj8BJuvbrPS68RzLfrLK+2OXUh4OwSXFhKuLCScGYFjixbXnT1Er/8Y6tsnm5z8vws55fqLK76LHUkK52UtV5Mp5fSGVhWB5ZzXcHZpRH/4V+EyVtf2bq3tuEdpjZ15b1Kmp+PEo9ms/WthsolH39nNfhnP/O3XHvtC/i5n/u3v/qJz3zlX//5h75w+YHja7sPnB7K267rsHerwaQqA5MABBYJSECAsGhhCSScXalx/yHFdXtX2L9jRKMGnpb4nsL3Nc26pOFJBn2Pg8drfOERnxMLId0k5uCpkE1zK7zxZatcd3mPF+3vcHwpYWkgaAQjjp61dLpNrr1MsjZKOXBc0Wponj4BV2y1jKKUUeqjdcxMC549FaB0iicTtAfDUHLz/gHDgeS6y1O6w5QTZ1vs2axoNiLWQsvG6QGr/S5/9WV47FjKE8dG7Nq6zPVXdpmZjXjDrT2+/xWWvZtbpPE0x85MceS0x6nzhtMLMacXUo4sCE6uxbxg3yL/54/12DQ9zanzs5xfbrC05rPcFax2DZ1+TKfvwL3St1zoK86vGW7Yt8Q737gktVW7jx0/u2d1Lb2lMbWrPjU1/cVPfvKjfOADf/mthsy6j7+TDP6e93+Yc51ZdcWmhf/jwvkL/9sjTxxVx8+NON9RnOjA5TsW+c13XuAFexqcX55hudNgpRuw1vUck3dhtZuy2k1Y6SUsdeDUqkDXR7zkmhV+4BURezY2Weu3WVips7jis9QRrHQMyx3Das/QHRq6oWUwSphrx+zcZABB4FlOL3gIGbBro2LPVsvWjQMurIY8fqjFjVdYGvVVnjo8S6sZEUUeczOG4Qiu2jniA1+e5sodCWFo2TAlidMhrVrA08dH1L0mL9yX8MTRiAvLPtvmAvZsgZ2bI5SKOb0EvmcRwrJrU8JMS9IbBvQHHt2Bx0pXsbIGyx3DSidlqZNyvgPLo5Sd2/r8wO1LvGS/pua1ObfUZmm1xtKaZrkrWOsY1noxa/2Utb5lpQ8XepLznZQX7bvAu35qhcs2T3F+eZpziw0urE6h6zvTuQ2zv/pdb9z1y489cCG94cXf962GzkWPv1MAP/jcQeq1Wv3c2dM7733g6bcdO3H2Vy6cP4tFstazLPfgfE9yvJPywj0L/MZPL3H9ZQ0WVqdZXmuw2qux2vVYzUDe6Rnn9/YSVrqWCx3B2b4F0efNt3V4w82Gy7bUiKIGq50aa32fTk+x2hf0BoJRaIkSS5qCkpbAg3pgmW5bNs7GaG/EkXMRTx4OMEmT198Sob01Hj4wxe4t8JkHEm67NmChM6SmFUkaMzsDSeyhvYTl5QYvu6HLZ+5rsWcLPHQoxKPB6242JGLIk0dSjp2uoaXPphnNTFNQDwS+L1ACEgNRbBlF0BtY1vqG3sCwNjAs9y3DNGXX9gFveHGHN780AtNieW2KhZU6y52MDDqw1kvp9BPWeg7cqwM431MsdFNuvOICv/7ORa7a0eTc8gzLa02WO+7GiCLD5i2baLQ2/+/T89f89Y4d206ORqPhFVfs+1ZDqXj8nQH48WOHmN8w7x8+cvgnnjt06Hcfeuhxsbzal0liCWNLf2QyTSg431ec7sbcdPkCv/6OZW64osbS6jRLnSar3YBOz2e1p1nrCTo9S6efstZL6PQNq33LQk9wrmOYmR7wmhf1uHV/wq5Ninbdo9urEXgSUESJxBiBsTAYAcIw0xpx6IzF2Ig7HmoSDupcvs3nJdcNiM0adz0yzQuv8Dh0vk9ntc2LrxvwxYcDNs1aDpyw/LM3dTlwPGDTrOQLjyhecpViZdDl6KlZXrgv4q4nhyRhg1uv9tm7Y8Qw6fP5hxWkgiOnNe2GRgsYDCXGClJjiRNAGrRv6PQtzVbMji0hL71qwGtuTJhr1riwMsXyWp3Vrjs3q11Bpw+dXkK3n7DWN3QGhpWB5HxPsNRLueXKBX7lpxa5bneNxdUZVjpNVrs11noubhhFkjCyJLZmLtt7nd1z2d5/uveyy/54aWkp2nflld9qSAF/RwC+tBbKXr//xs994WOXX7YxePe99z3iDUMIY8soNIzClMHI0BtZukNLZyC4MFCc7qTcuv8C7/qpJW68zGet12ZxtUWnX2Ot57PW13R6is4Aen1Ld5DQ7af0h+5mWewLFvsQpyHXXzFk82xKf2D5zheH7N5sSFKJlpYohjsfr3FyocaWmYSnjtTANNi/XXHDlYagNuDhQwMWl5pcs7tJe3qV+57wuOmKGsuDNVZX22zebHnggOKHX9XnwQOa7Rs9lvodVldmueGqAfc9lTJbn+aay/ssdDo88Mw0dd3kRVda9u0cgezz+DHBxtmYC4sxdz3uMYoVUkJqLLu3RLzmxRG9vmLrjOGGKyCKGqx0Gqx0Atb6Ht2BotOXdPvQHaR0+ym9QUp3YFgbWFaGkjNdQWcY8ZJ9i/xfP7nCjVfUOL88zWq3Qacf0O17dAea/kgxHAmGIfSHKf1hwrXXvSi+5oruv33JbW87rHTzk0I0zLcaW9/yTGavPyBJwh878NRj/2nhzPFZ3evTqEuEFAhpwQIWrAVjjUvNWwsiRQrFg4c28fPv8XjTS1Z4+6tW2LMt4vxym8CvUw98GoFHs67p1SWtocdUUzMYpfSHKZtCwzC09EYBK4s1Tp+yRInhzPmEILCAwFcWLQWDoULgkQw0L9gt2LvVsnPbgDDt8dkHFc8enuG1NwbccNUq7/+sxRcNdm8b8MR9im3Tig3tATVVJ4o9FnrQrGm2bxI89mzEDfvqvOKFS/zJp4b4XovvuMXiBQO+9EDEZ+5v8syxOpdtbbB7S8r8TMSeDTHX7k5RyqCVO0GNIGB+OiCKPXoDn6cOefRHmsFQ0R9J+kPojyz9gfvbe8OU/jAjjCEsDhTnVy2NqQ4/852L/INbI67b0+TsUptOr063H9AbevSHimEoGYYO3KPQEUCSwJ1ffdBLR43/1J56cuWKK2/+V8Ph8E/q9fr/uAAPRwMQ4iefeeKhdz396J2zgekQxQrfA2twDonNjR6LzV4JLFJYlEjxleSpwxt49LkGh84u8KaX9nnp1SOmW21WOg2a3RrtoU9/oOllF3s40gxCzSi0jCJDFFvi2JKk7ogSH2tAKoGnBTVfMN0SzLRg8wbD9k0DNsx0+NzDcPejHtJM8dobPV6wv8c9z8REozYveYGgMxyysNzk1n2GDdMD6jpglCgWuzHKCF6wT9NohTxysMbLb5jixdf3eOSgAjvFjVf7vOO7V/jiYxFfeLDJgZM1ds4rNs/WmWk1mGpBPQBPW5QEY+HAMUGaCuJEECUQxg6AozBlGBpGoWEwMgxCQ38I3RAW+5LFPozMiFe/cIU3vrTDD32HJY5bnF9q0R3U6A18x9pDTX8kGYwkwxHF+QujlDi1aGl55MkeZy98afa2l5v/8IpXvEz3B4P3NBuN//EAPhyuIoR5x/FD977r+HN3bWzXe0jpwCyEddpJCIQQCKEQQoBMkQKUdFlEpSyeSqlpydKgzge/vJ0vPdrltmvX+JFXr3Htnj5z0w2W1xr0hgGDoZcBW7kjEoSxJE4ESeKWepvdRUpatIaaD426YbYVs23jgIQ+h87E/NVdNY6eajId1Lnpas2t13V54LkOd3ytzS1X1Ni5ZcAHvixQIqDdilnrhxgLSsB8e0C352OSOm+8bYEPfqbB3gs13nDLgChe5q4n54jTGjdfvZE33NTlih0dvvTIgCdONXj8mM/2WclsW9AIBL7nbkIp3HkzFoyxxEl2s8YuhhlFhlEEwwh6I8FqKFjpgdAjXrBvjR95zRovuzplQ6vOaqfJWq9Of+jTH3oZsBX9oWQQyoK5R6FhFKVEsSOJ1MAwFBw6tsSZxc9vXOul73r9a15mFxZX37txfuZ/DIDHF97N2mg7ycqHf3y5l7x76fThDQ2/h57xSVJIMgZSUiCE64qRQiCldKAWoKRASoNWBk9ZfG2oacHqSLHSmeFDdza5/6k+L7l+jR/5jjVeuLfDXFonSQIGoxr9occw1ESxIk4kSSpJjcBYUawOgW9o1BICP8L3Qs4sh3zqIcnh0z7HTs+gTMDeLT5X7VHcuL+LChZ58kiLbdMNrrkMNs+vstJtc+02SWIsn3swIBxIppsJr7t5xCfvijl5vsWVl3ucWxvx9FGPHZtmuH7PIvc80eO+pwVh5LN/zyz7dwTs397jyLkVDp+BB59tcOhok4YWBFrSDCw1D6R0QZW17mZNUogSiFJBPxR0R4JuDJFJMHbEi67o8iOv6XLbtSlbZgOGoymWOzV6g4D+yGeQAXswUgxD4Zg7B3eUEmbsHcXObXIroEtGnV1e5f0f+vLG+59ZeLepNZNf+r1Pvv+pI0v89X/48b+/AP9ffv2P0BvfT3rke34ojY7/Vrx2frrh1WGqxiiyRLHKDolWEqVAK4FSDvBKKvdaGZRK8bTA9wy+Zwk8S8NPma4JeqHHaneGj9zd5suPj9g0M+Btt3fYv2PEaNjnmj2WHZsVYeyRporUSGwObmnwdMqJC5Zj5wVrQ8PH72lwZmkGG3nM1BRb5zS7Nmsu2wbX7O1i5BJ/+MkmKytT3LJfc83eDl96XCASj40zkmYjYRD7SCvBSpT26YwEF1YEV9sGt9/Y495H6mzd4HPLNbP8o+9e4o8/0+PBg036I4/ltRZ7tta5csuAm/f1+L6X9zi7ssLH7wlYHgScOOdx5oyPpxwRCATGOkaNjSVNDDNzMdddPSAMY/bvCHnL7SEbpxSzrYA4rnFusUZ/6DMMPQYjzTDMgZ3rbcEopJAko9AQxYYwtoSxIYohTixRClEMw1hz6kSH+567f8Ou3Vt+68Uv3BT/9X/Y+xcXjv8mm3b/679/AP/pX/lrmte9VfzIz8q3bm0++Udvf9mTjat21RECtLb4occo8ghjhRdptFJoZdFSopRESQd2rSQ608aeZ/B16hjcs9RjSyOyTNVSZuqCQSTpRU2OnW7y638xCyZBJAk3Xjdgz+aIJMkDV5fEkUIglUB7PgdP+hw4XKNZ07R8yYaGYH5OsnFWs3VesWtLypW71kjFMr/90TYnTk5zyz6P/btThkmPrz0ZMF33mJuyTLciGnUnhYyRdEaKlb5luZPS6dd52TVrPHRgwLMnFdPtGjdfPc1PvXGZ3/kYPHK4SX9oWetpLqy02byhwcaZEbvmRvybtw5oNzo8cQwOnpJ4nkUpixAGF5k7Nk8S2L055SXXJqSxR5wEWNtgFHmcX3KgHoaaUaQK+TaMBKMM3KMIwqhk7SgyDuhxKYFyzR8mglEMvUiyFAk6vZit3Uenv/fG+T/6rQuLidf+wQ91Ttfs1PZ/+vcH4D//7g9yzfam+vLX/uzNh04svv8DDyzVnni2zbv/cZfLtznG7OsAz0vxI49QGzyt8SKJpxU6cozua+mArYVLs3uS0JMEUUoYW+qxcWwSWdoJhLEhTCBKBKNYEqYBcVrj2cNNHn8WUmtx0HbSx5PgK1fz0Qrgmi3QrsNUUzLTUsxNazbOws7NIVvm14jtCr/90SmOHJ3ihssUl22X7N2+yleeTriwPMWNeyQzbUPNHxLIAKsESSoR1pKkEav9GheWPW7YX+cF+3rc80iNTTOCRq3FDfsMP/PmZX7rY4anz7RY6xvWeorFVc2G6SYz7Toz7SnajZj5ZsyuGyICL8HTCUqlSOGCCYu7qeJYsbCoiRNFnLiVMsxWzDCShLEkjGTmbQsXoEaCMLJOisQO2Pn5DeP8cLU1YeyAPYwF3USyFkJ/EPKCXcv8+398gVdfdbbRW9PvT3sfM5Hd99Hzh9+bbr78Hd/+AP8vv/eXzLR8dezswlsWT5/7k6efPVnz21N87kHnlvzyOzrs25bi6Qa9YYqnU7Ty8JTB0wovsmil8LQl1DarIRGMIkHgCULfSZowMsSxJUqcJoyTypFCklrS1JAanN42FOAWArdCSPA8CLSgFggagaTZUEw1JDNTgo2zCbs2D2g11/jovRF3PTnL2lKb63Yqdm3xuGLHiFSs8bkHGzQ9zfyMotUY8eQRXMf9DssgVFx/Rcx1ey3nz6UsrvoMRw1ef1OPrz4x5NAZRbMuCfw2115m+OUfX+bOp4d88s4NLHctuzamrHY0023FVNOj1fBo1i21wBD4hkCnaOWklpTuGliLS1gZQWIkSSpIEkGcSKJEEMeSMHbOSxQLp6kjCOM8gMyAnTN25DR3GMMoFoSJYBgLerGglwg6ocFEI164c4lf+sllXnsjdHrT9AYnakZP/Vkipv5hwsYPP/3wB9NrXvT2b2+A13wj17rdt585feb3Tx87Xts15bEcSlZo8Yn7JFGo+f7bO7zl9g4bpmJ6wxqeDgi9FC/SeDrF8zR+pPC1IvAc2wR+dlGKQxEnEMXSOQhJafslqSFNnbuQ2swpydwSIYQLXqVAa4GvBYEvqQWSZl3QblimW4ZNsyHzMz0Su8aHvir548/MsbFW47qdgp1bPHZvNezasspHv2ZZWamxf7Nipg2tRsyF45KF1QB/j2O6+SnJ9DQcOmZZ7RrOL9W4YneNV93Y41N315hrQeD7KDnNtXsFP/2GBTy5wCfumeGZMzU2dWM2TidMNRWtuqJRl9QDTeBD4DnJp5VFCpCiAnLcjZ0aSFNRBIRxAnHqZEYcp44UMkDHiSFKnMbOg8kwzizIRBAmMIilA3YEw1FMO+jxA9+1yFtf0edVL1Csdlv0Bg36wxqd3tmaCFp/5NV8LaT3lzie+fYE+Mc//kmMSX/8aw89/R9PnjzRnmoq5MjihIFkVTT4/MOb+drTNc6vLvHP3txjth1RD+p0BzU87eN7Hn6U4mtN4OVLq3TBaCIduBMH8jhjpSSBOIU0i+qNcQGXMTbv4czA7QCulMh0vQNILYBGzdCqJ0y3Euanh2yYWePeZyP+7I46B49Ns3vKY+9m2L7ZZ/smuHJnl0HS5YEDberKY35GMd2C6VbIzFSC72uEcDfXMPRZ6casDSydfsLCqs/OzS1evH+BOx4ccPBMm0YQ4ykfIabYu03xo9+xxIuuXODP7mjxwFPTLPc1G9sJ042ERk1SrykCTxB4Es8TRZAus7+R7J621rrVKwN6kppsdcusxcSQpIYocSUAcWKLFTFKnCszSgRhLBgm0IslvRQGQ0MaD5mrd/kn37fMv3n7kJpfY7XTpD+sMxgFDIY+w9Cns3S6LWveb89tusr/ypc+88evfPUbvv0A3u12kVL+5Cc+8Yl3LS2cm2vWFRZnXxkL1hokkhVZozNS/Me/9jhwZIU3vrzP7S/osmlDSLdXZxj6+J5P4GuiOD9UAfA4lkSJzOzFzNNOyaw/MuaW2e/MwO2SlBlzg1YuYeJ7lppvqNcSWrWEmXbIlg1dLnQG/O7HPT730Cwrq00unxfs3CjYttFn+0bBnq0jtL/GB+/SHD3VZN8myUxLMtVMkTLkzKIl0BIpXPIqijW7NnZ5kJTuQLHatVxYqbNve43vu73Dh7/kc/xCgKdjhPAwtkmcSG7cs8quH+zyuUcGfOBzszx8vMm2GcGGZkqzllLznWzzPReraEVmsYqiJsNis6wwzmlJHeBzkCepk3TOR6cC7Cx5lDpgO9aGQWxI+hHbN3R5xY1rfO9tfV73IouiydJKg1FYYxD6DEYumB2FikGoWV08N6drO9/92td/t+r1uu9ptdrfPgC3dhUQ/+ipx772rpMnDm5USuBrmbkdOZOCwCCFYE349MIZPnhnwJ1Pdrnhyi4/+Oohb3jxGhumAwajgGHoE8ceUeIRxboIlJLEedlxmmtLSZoKUiNKrW0EhSqxjrmlcIkilywy+J4h8FPqQUKrHrJhus8wHvKlJy1/9ZUpHnhqmhnf49ptli2zkk1zPlvnJds3RVy2bZUnjg/5+FfnmVKa+SlBuyloN2I6g5TPfK1Gy7cI4YA1DDVvfEnIp+93NTGdvmFhVbN9Y4s3vbTPA8/2OHDIpxkkWT7Aw5gGo8hp/R99VYd9Wxb44J1d7ntmmpOrdTa3BVM1S8M31LTB9zKLVbobWeZl8xnUTSbVjClXuCQDuiMIiFNBnJbAHiWCfiIYpLiYJ4po1gf8wGtXeft3dLhxn2HjjMdgUGe1V2MUBoxCj1HkZ88usE1SN4bu8Sef2ZjIuXfd+pKXm2One+/bs/2b3zjxTQX46uoaB04OOHZG/diTT9/1G4889JW57nKExZ1krQS+zjKG7lZwNqE0BFLS9Zqc7gacvb/J/U/2+fB1Xd7yqgGve8mIuWmfMHS1FlHiEcde4QgkqSJJJImRpGkJcGMz5jZlTZkQNgsqXR2H1gbfSwn8mHoQ0aoPSRnyxUckf/HlaZ46NoWIA3bPWLZMWzZMK+ZnfTZvkGydj9m5ucupxR5/8MkmSVhn+3bBdEvTbkK7ESO8iO6wyXTLIoTAWogTyWygSExCL/bpDVJWu4ozi3WuvqzFO79njXf/ZcCJxSZaxdmNoUmSGqNIsnku4MbLu1x3WZ+nT5zhr75S546HpznbqdMMFC0fmp7F1xZPgZYunS/EeHWdwZVEGOsC79S6RFtqHLij1CWJhqlgmMIotcRJgoki5moDXv/qNd726h63XZvQrmniuMnKWo1R5BPFHmFm/Y4iTRg5MyBJXLCrtCDqr/DcM5/YuHtH/zdedOMrEmuP/OlgsJFm85vH5t9UgA+HQ67d0/jeL3zlgd/53T/9UrvX67Jvq4+X/ZZcDgRaZEVTAiksWoAnLYES9JRmELdZCGt84v4Gdz014OYv9Pnn39/jqp1dNk4r2lITxT5R4pEkugC5A7ckNRJjJa4uSxTpd8fcBqUsWhm0Tgj8BE9FdIcxi92Y//LRGscWZnjkwDTW+MzVBRs3WDZMCebairlpj01zks1zCdvmB8xNr/K5Rw0PPzPNddsFMy1JqyFpNwzNeoTwQoJAo5X7/dZCmkqGoWY4ikmMoDc09PqWla7H+eU2t17Z58VXr/HBL9Soryi0jB0grSZJfaJYMgw9NkzXeNHePi+6vM+DrzjLiUXJn90xzcJag9PLAb6SND2Bn8sw6QLPgshzqYJj8sQKEgOxEYQpjBKIjIU0gSRGqZBtM0Ou3eWux01XpbTrmjhu0en5hHEG7MgjShRRltcII1WURKTG/eJAw47Nij1bl4kXvzB36MDU72zafvNqEg8+/s3E5DcN4MeOHWbLls3qrz/015c//sTB9pTsMTurscZiUscbSgk8m+lABELYUgcn4EuoKRgqQd/zGCaa5ajBHQ9Pce8zQ5pByD/8zg475hJ2bR1y6zU9tHAtYkI4ueKykq5W2toKc2MR0hVohbHFkoBMePqY5KFnNZ96oMXTJ1tESYOWVszXLbNNy0zDOh+8rZmd0sxNCzbPJmydH7JlfpW7ngr5w09tZMu0Zr4N7aai3RS0Ggn1IOTe5xSjSOM1HaisFUSJpKYVL9w35P4np13h0zBlreuxtBZwYWmGd77hAqeXlrn/sXk8CYgYAySJzkAk6Q81M60a0+0mL9434BXXDfjBVy7y7CnDpx+o8cCzdZ472iQRmjBUDGKFEjKr76kGnllOwBoSY7HG4ImUKT+iRsyLb+izZ8uI7RtifuR1IXVf0axporhBp+dAHcc6k48qc7R0kZXOn+MsVrIIlAIlJQurc5xeSOD419rzm5Yu/55/8P3q8KHD6eVXXP53B+DPPPMMzea0/+BDD/1EmiT/cTRYZX7WJ0lt5V+5O9dal3zI5YkDuCtJ1cripY7JGymMtGCY6uyo0eul/MYHZ7BJzKb5EVfvHDE3lfCWVw3ZuTEijkWmtyVUmJtMf0ppEFLwkTvrPHGkidCaE2cbnLnQoFZXTAWC6aalXTO0a9CqC6YainZLMdPSzE3DhumETXMjtm3skto1PvLVNsN+kyu2W9oNRashadUNrVqC50V87v4a4UDibXTdorlEadYVr795yN2PGvqhpD9M6Q40az3N+eUGV+1p8ZbbujzydIMTKy2UNECc6WWPOHWsOIok/ZGm0/dp1Rs06yFXbR9xy5UjTi10OH5uDe2lPH5U8+GvNBAqK1wTcvwiWgMYsJY4Stm1KeFtrxqyoZ1y5S7LpjlIE48wapEkrmsqTtyRJJo4dXIxjhVRoohj6eKkxN3QcZIDnMzRcgZAGLv/pzdcYWo2+o9PPv7wYMfO3X98+LkD0eX7rvq7AfCFC6fpdZb2HT9x6nfv+9oDUitFLVAkqcUa65wTCSLN8CZsFt2DSpxG1Mo6Fk8FsXYWVd1AK7VEqSA0gjD1CI1HYmCx3+YrTxgsKX/7QIwQaVZj6y4SZGaJ8wKzikSJVIok1kij8bSkFcCeeUvTMzQCQyOARiBo1iWtuqLd0Ey1JDNtmJtKmJ8J2TrfI2WV//I3Ne55ciN752CmkbF3Q9KqJzTqEc3GkHq9QaAkSmYaHHdx49hjNBQMw5ReqOiPDL2hcS1zTZ/TF6Z42dUhP/PWC/ynD2tOrgUIYbA2xqSWOPGIYskodDXaraGmWfNp1Gs0gga1IKZVj7jxigjfi7npioQfefUArZIsCWQQwo6L8kzSGSMRQhJ4CvAZhZrlVe3qdtI85nHPTh66grU4cbFQHvTHsXSBauKC/zjNqzZFCXLjXC9jLU8/+ZAUQvzuylr/q1EUPvXNwOb/3wD/0Ic/Sqcv6sePH3rzuTNHRLvhZcGKRUqLMRZpLCbNEg9SIKX7npKQSIiTPJPoboY4hURlUb3J/GwjSIwlzjRiYiSxlaRGE5uANLO9qo8iSylAC+EylQpqdUtNW2oqJfAg0FDzLfVAUPcljbqkUdMO4E3BdMsw206Ymw7ZONtn68Zl/vBThg/csYkd04oNLUO7qWg1FM0GNOoprXrMuWXDkXMBNd+tUpBX+glGkWbPZsPmDSO6I5/hyGYsLlnraVr1Gq3GND/y6gWOnjvPH318G1pqLIbUpO5cJC54G0auKGpQkzRGmnrgUQ/cTJPAT/C9NEuYpWjpGiWkdOl8kR0UK6vIQC7omKzK0ri4xsU3ZayTVJ6TVDgnK5MhDvCiqA51X3NgTtMym+y8eJd4CmPBAw89Ia6/NnzzNVddduQLn//48DWv+95vLcA3bvD9Tmf55y4sXPi50SiUQeCWISksqXTeqjQWIy0yey2z1HgiBCoDevGHGvAyqyrN7Ct3WFLrTkSaJyssGCuKQKmquYEsk+d+n5YGLXEySIGnBJ62zjfWglogqfmSeqCo1xStuqTVsEw1U6ZbCbPtkA0zA3ZuWuaB50I+eOdWZmoBm1qGdkM4cNclzZqhWUtoNUIeOAiPP9vg8nmb6d4ybT4MFTddabli55AHn5pmEFqGo5T+UGcg92jU6tRr0/zAy1d4/LkF7j+wGazCmNSVwyaWJLZFPckw1DRGlnpNUfMNge8R+CmBNmid4mlXYqyUcVuwSFcajLCIajtJEZyL7PzmIHcNFcVrIzKQiwLU+es0sxiT4n1+fUUG8Cq4bXaAiUdyYeHC//FcUPeDoPGrQPQtA/hoNJJROPylL33+A//KhOf9euDkgwOW+8OkrDB49lpKi0otSjoAq9Q1z2oDJoXEuPcm12uWIhPpgqHS3rLWUsm8j624eao6D2SVzDKWikrRlsv+Bb6TVfVA0KgLWnVLu5Ey1UyYboXMTQ3ZOr/K/QeH/NKfbOLk6Wku22CYbkC7rmjWFc0aNGsp9VqM743ojCxKKjxlkbL8ZDkw4sSnXY8ZJIZB6PbnGYxSegNJp65o9AJqQYvdm2N++Sc6/Lv3S752YBMWhbGGNDUkaZKl0hWjSDEMJPVQUfMlgW8JfEWgDZ7n/H6tbFZunF2HTKYUTSaVh8niGGNKVs/r5lMjMEW+wTlDSQ7eVLgVNy3BXH2dJ+AKAivKKdwK/syzJ/1+6P/bd/7kj3rDwfB/rzfq/7fT+f+3AW7tAtau/epg4dP/sikP1rbOa7oDQxhJIkkRQBaetLQkxqKMY3aj3B+Tpk5/pwWobQnqNGPpDNwFW2dloPnBBMAz2V0GsVmThKsvpyy31a6mxfcUtcCNZKgHlmbN0GqktBsxU62I2faQrfNr3P/sgH/3xxs4eHKWXbPOYWnVJc2GdOxdtzRqKY1aTJxG/PkXWkil8KRFidImNFZky7rHj752lc8/HNGLAgYZwPtDRa+v6ASamh8QeG2u3JHwK+9Y5hf/WHDfU5swVpIal1aPE1doFkaGsObKXYNAUPMEge8ym762RcZWK4NUbuWUwiLy5ypD2BzkFIyeTxgw+WtT1dMiu9aUz2Y9UJfANtn1d6uRyTqQDN2B4ej9R2tx8MX/+R+9/dXi1Pnln9+xee7/XYB/5b6TgHnxsYP31K/e0qfb30gYS5elFC41LA2F/EhTgTKZvFC2LH5SNnMG3HO1biRvv8qTNTljm7wRuQLs/JEDXAoQ0s0PkRX21jqvO5F4nnT1G76gFriZJ40gpVl34G43I6bbQ+anOzzw7IBfet8sT5/YwPYZwVyzIk1qmmbN1a/Uawn1IMLzQs4sz+ApgZIms+XKIDNNJUmi2DJjSZKYblxjmLWBDUcpvZGkPlDUfA/fq+HpKfZvT/iVf7TIL7wX7n9mI6mRDuCpJU7SjMkNYWCoRZKRrwoJ5nngaSfRXJ2KRUuQMnezbFGYNYFxJ1fIV01RkI61ZbBobAZmK4qVNz9MhbHza5oDO7/2SepAHsWWYQhnVgZ0lr5c95LdL66ufv+vAPzzn7+DrTOq8Z9+/5P+sbM+b36FZqrh+imlsmgLQoPM7vIc6PkdbzJGT61wtRCZpi4cl/y9da/H5Ei2bNpLfDYpyiIqKV1Qm4NbSTdru5QnUPMg8A31mqUeOP3cqMe0GxHTzSEbZjo8fGjEL75nhidPzLN1WjHfNEzVBa2apFFTNOqCes3dHC7VH3H/AUF/5FNTZOlyp8HzJoTUCOJE06wpbr2mxwNPtxnETqYMw5TBUNELFIGv8D0/08/TXLXD8Gs/tcDP/je478BGYiOJTcZ+SdmAEPqSwDeOvb2yjl6r/CCTKaWMk1mWd32QU1i85fWANCcf415XC7nKZ1sQVZXI3JEzunuNgMAXvGifz6uuTXni4Tv85uY3Nu68847B7be/9v95gD93+Bhbtmyd/txnP/UHc+305SLxuLDkY7LpTwKyrhKRuSig8poQW2pqmy9tyrG6LZjAFrUqRb1E9mytLZgba8d1d7ZqCJmBOysyUgXAs0STdkzme+B7hpqfFVgFKfVMXrTqIVOtITOtLo8dDvnF98zw+PGNbJ7WzDcMU3Vo1gTNuqJRVzQK9k6pBQmtxoi7HvdZ69SYmSnT5Dlg8uU8ThUb5xSvfkGfux4yrosmMhWQS2qepOZpPO2jdR0pDVftsLzrpxb42f9mue/gRmKjifMKwNQWTB7Esqgu9LVEZw0jWrpUuTs3FJ+vuAnJ0/q2gHqeEJo8TOXZFNeQArz59TQV4iqeTYXAsmuupGC6KZib9jh4XNJomJdfHhx77+u+83v+8fLCqbW5jf99u8L9dwN8ZfkCvc7Kz548eeLtcdhh84aAwHd3oaqwgZU2Y+pSVuSFT8Xrya8VWi9n62wpzBNEVebOxHeekcvrLJyeLGu8lSpLBLTC1Wdoi+e5xuKab6j5KfVaQqMW06yFtBojZqc6PPJcyM/9tw08dnQTG6c9NjZSpho2A3fG3jVJPXDsXwsSGkFEYkJ6UYBQEi9n8EKDi+xGd5ZaHHs0/ZErF4hqzOQgH6UMfMfggS9dh5PON6C1XLvb8u5/fIH/9fcN9z27idhowlQQpSZjcUEtNgSexfcEvjbZ6iUrfa4yOz+ikHSyEr9ACfixWGcC3AUJFZWiFXlZIStjqpLTVlZlxpJyUrpOooUVkKsr1Oon3n7gmSePJHH8C/+PMvjC+TPMb9q6628+/KfXJeEic9MeviaL0CmCFionxQG02lViCzC76Nyx+iQbFFLEZMuiLX9mcapz1q4Glflym3XoqCyY0triKQdsX9uierDmpZlujqnXQmbaA6aaPe4/kPDzf7iBR49uYn5KM19PmapZWhm46zVnJ+bgrgcpNT+h3Yw4cNxy5yNNfCnxlOusqe51k69kcapIjOb2G2Muv6zPkZN15hswiqw7wpTBKGNhrdDay2xV511fswt+7aeX+IX/Zvjq0/OM4jphKokSSyNxkiXwcCDX+eplit5WqdJihVNSVAAuKiDnIr1SgrxCPGOrbVVi5te+An6T27oO6GPgFs46HEVpQZoHnjtDykPX/eQ7fmLX6VOnT2zfsf2bD/C15XPUG+3dh5994D+TrHxvTQ1otJQbwJNVrEkJQpZ206RmdndzNUihZG5T2lL5v590SirnmLzC+SJwC4tUuS3owKBVxtrajZjwPEPgGQI/oeYn1IKIRi1kdmrAam/A3U/Br/3FZp44vIENGbin65ZWXdCsicIrd86LceztO4DXg5AoTRkNa9SUu8lkDpjivGSWWypJEu20vA4JI8swFhWAG3w/xfc0nifRSqGkVwAcAdfvEfzaP17lN/4y4b5n5zjbaTNqSqZTSyux1LKJA4FnM+8/d1Jswd65VMkBXnze7ENXcW6r1yEHOONgN1XgVwiteD92be1FDlhuHcaxw1Sn16XRXv7er9x9f3rTjdf/zydPnT2+c8c3tqfnNwzw3tpxwmH9ltXFA28edg4x3fYdKkUZnAhRYfDiDxeVkyAqS5ao3PV54FJm+6oALx9j6YjiIrhxD3lvpS3qW1zVoGNurQ2eNvhFeawDd+Bn4J7ts7g65F1/3uDjX5tnqT/D/JRkvpaBu+Z0dyMLLOuBpBHYjMGd9q4FERDx5cd8VmOfuYCxemxEdUl3OjyKNe1A86obBtx/MKIXB0zFJutiN/ihq1X3tSwmDSjpubF2WQZy/w7Jf/rnXT59/5Bffd8mTi/NMJzWTPuCVmJoJBDEbvSyr9xAIy8PNKUoguD8uRqoFzemKAFeAL1yncBWJIsdIyezzntwoIfxa5xr/3zVE9m/e+CRgzTa82/2gsafDwbD499UBg/DAb5fv+LkkXv+xcrCU7SbbtPV/AMWd3gRoNjCWirv8gzcOdCLP1pMnBBROWmTALcTvyeva7GFC5CXADgbzAFbKwduT6f4XorvJdT8mMCPadWHaD3grsdT3vuZNp+6ZyORabOxLdhQc7LEWYC5T66yQ2TMXWXvGK1D7n1mmkGk2dKw2Q03yeBZoGlc/UbNU7z4qiGJcQAfxoJR7oZEbuSap3OLU2VAdNnHrGyNDdOCt7+yTys4y/s+M+TuZ+Y4H9cZ1CTtxNLU1oFcZ3GIsllcYjOQZ8SQxS95PZakZPHJHQWrIC8L6SrEVAV35eu2IlvHf8a4LMrpzFgn5+594CmuvWbfv/iu177s0V5/cKjV/Poj4b4uwMP+EY4c+CJBvb11dfHQK9JolXrNw9ikmB94KcsuB6exIvtjxdidbBHrvi7/XzHuB1ZuoHFpYgsfV0mTAdxkNd8ZuJWrxQi8GN+PqXkRjcYI3x/wF3dofv1PN3JkcRYvqLG5JZgNUtqBpRlAM+uwrwcu21nLEkKufiXNVgInT5a6Kf3Ix1cKX5aBdxGXUHrJaZbejhKPujdi8/SQtUGLYSyycWsuVvC8NLP5VGZ3qsK/LgNXV/n4vbf1uenqRX7tz0Z84HPzrCRNBoFH05O0tavBCTT4iqIZQudJH0lxQ+ZZ4OJcrwPw9a71RWCuvrYVw6B6I1R+RvE7KnkORwiSC4trPPzogVekSbJ1ZbVz6NEDp7jhqud3Vb4+g9uU/dfcvHtt6ek/7Jx+hHbLlQSaLGU75kvbEpjjS5iYAHE1aBQTf/Dzm/p5StnZgbbU3ZnednMLK8ytUgdyL8HXTpIEfkjgDTl+IeGPPt3kY1+d4+iFGdoNj9kazAQprcBmqfcc3DIDtyySQrVMewe+u3HazZCP3qs5dKJOTQmXMcwdFEqUFwG3dTo8TjT7d8F339TjvZ+do9/QtGPLKLYEURY3KIPWMpvsRQXkXuVauVVh5wbJz//wgOv2nOa/fWqWo+enWEnqDDxNUwkaGdB9ad2Nk7lMJYvbIlgXItsUpmohTkJk4s2YJs++lutu1rkBqgw+KX1yOWcsxInmM3c/y979V//hbbff9p3LK92vK1WeF+DW9oEGSe+L22X0tb3t2hm0bBMnaVFdZrMT67KLorL0iALwxesqYxf/trzocGmAC1HKkxzYpTzJps1mNRZK5uyd4qnEde54CUEQ4uuQXhrxux/yed+nN3NmeRqj6sxOKWZ9y5RvaGTM3SjS9zKrU8mkSeadF+D2XfYyjCMOnQ7oRwEzQebi5Emn3JXIL7Kt1KTEmnZTs2d7hApG9KIWQ19Qz2aQ+Jm88jKJonPXQ6hLBK+K+akB7/zeAW++/Tzv+3SXP/rIHEvDJkNdo6YVDS2oK0uQWMfm0kkVLanYvXacyRmXh+tj5tJAXU+WFIQ4wdjVf+/6RQWx0Rw+2eMTdz+9V3hq+w++4cXHB8MhjecZ0fy8AI9HFxByet7Y4EOMvuIFQQPECK2z2mAjsEZk+nqcpatVaVAFdZXxK0xe3AQTwIas2i3fa8pmQcgke5tiZqGSDtxapfheTM2P8L2Iziji3ickf3FHm498dY5R2sL3feZ8wbRvaPqWRmBp+CW4a4EkCCRBJk1cYihzJjKA+57LfB47Z7n74QZR7BE07UUBZv7ILdK8FDWKFZ6nefVNPT74xT4HTzcZ1lz5aOhZ/AS82OBFJhtjJzIZIcvhPjnAc4/dSBqBZtP0kP/1BwZctTPkA3e0eOjAFIvDJiPl43mamhbUJQQys1Fze1VmNfuCsYP1gL6OyzUOdDEG7nXBXgF4tf4ltS5DGqeCUSoY4fGRzz3g/dAbbvzQwtLqCxZXeovPh+HnBbhXa8nR2tO3rJ67Y0qEGqVcc65Kjet7zI6cOUo5UoJ8fWYXF929l3qMA7xSGCRMyd7SZHZg6gCu0kKOaB3T6cfc85TgTz7b5o5HpljptJD1Gq26YtqztH1Dw7M0fEvdJ2Ntx9z1QFLzFTVfUPPJKvRMBm7jVgY/QemQ507DmU7NJVZy63QscVK5iJQgT4wkijSb2oIrdgx58mTCIPaykWjgRzjwqTSTKHmiBuREZ05+8+Q2ZJy6+vC3vXrI625e5UuP9nj/59o8dKDNcq9BR/r0fY2vBL4UBNK1DmrpdqlTosLowhbOxqV0eTVNcZHsyKTKmHSdALzJLeUKuBMjCA2ERhBZIPV474e+OoW1t9x6w97P8jzDg55fg4dnAk+lv6+SA02kRYgkW/5lCXBbAXneBzmpuZ+H1avW3xioizcO3NXifDEGbJM9pyiZ4uduhoxZ7CXc9bDmM/e0+PjdUyx0m4haDa/l0dYw5blOnrpHJjug7ovskFnJaaa7fUGQs3cOcJ3g+wk1P8LamC8/EnDiXJ0NswJPmrLBY6KbHUtWv5GVm6aKYeixa5Pg1TcM+NjXIvqxxzAW1DyLnzgWD2NbWaVU4Vcj5JhMcYcsGxWM89vrQcjbXjnkNTct87df7fHpexrc9USLhU6DofAZ+hrtKbQQeFLgSYknbCa1rHNYqEjECsDXUyxVgK/P3pUcic0boB0pJvlhRPbaYoxx2yAIwdeeOt38oe/h958+tHAVMPzvBvhq17ISDn9ouPhn0xua5xHYbKSAJE0VxqgC3K6DPZcpckxf58ckoKtau+h6n0C4wJa1ypneds8O2CIDuNYpvo6p1WJGYcrBM3D8rOKvvjDFZx9qs7DaBK+Gbns0lKTlWVraUPcsdQ9qngN3zXMzCV2ZqawcIvu+zUBuCpD7nmtPO3LW8OSxADwvW+ZtJUUvxqiuylZp1hyQpG6c87V7Qq7e3ufZMw2GNUEjEQSxJVRk1p4ZGyddWpClVil89syKNEZl0wfcGId6PeTHXx/yxlvX+PzDff76iw2On63x7JkG0VpAEmhGWiOVdOl8cFN+s4AzD0KVqOQj1iOnyt8KlewlYgzMBcDJapWgqPs3Nm9FTF2zgDGQwEpvyJMHnmbD3PNbhZcE+NLqmoji6Gf+4M+PTF8+r7hl34gb9yX4UiC1JIk0UaSLEQ0u0JRZWascAzgV7V11EqqFPPlAnvy05MEkgBCmZG1hMoCnBIGbpJqkKeeX4Qtf0Rw5XefOB+qcWa1z5GwTggDV0NS0oqktTW2ci+BZAu0GxwceGYjzQ2aHygBOprkzcHspgefY291YEccW4cDxBp4ctwcLiUJZD14sxUXzgMz6HD2u3jXkio0DnjqaMEg8WrEg1OBnMwFVBeBSCoSUY0xOlQ1NRQal2e9IFXHqEXo+7XrEj7425LbrupxZ7fLlB32Ongr4/CMNzi7XSIceRmpiXyFcmrrYlMCtqqKULOuweS7Hihtvgs1LwNssX5KP1svNcgM2gSiFOEXoBKlSbr4q5JbLY27Zc/eG173uX/6Lf/5DR98tg8vWFbqXBPi73vNJ4iTlbz7TQ8Sb2b25z7V7RrzixhFX74nZMhOzd1eItpIkzqVKOUx+nL1FEWCW2mx9j7sAN3YsoHRSxOlrL3B7whw9JXjyqOILDzR46pjPM8fqdMOAMArA81Ftz3XoK2hoQ73iAwc6r9PIy2ZdXXiQyRLfV/i+zG4AW2pvL82G7judX/NjrIm4sCIJbYDWEl+6WS9FwmScwAuQp3a83zFKPASa+dkIqUb0Y4+BFs7piMuCMa3MWAZSiqrRng07QmCNLJm80kPppaoYPzEIfTbPROzcFHPjZSHDaMg/PNbhqeM+X7i/xpPHahw9WSNOFAQKKxVGSMayQTnE8wKtykXNk0DFxR73k0swkwHaWMfW1kBs0KTs3R2ybSZi/56Y228MuXZ3wo55iTFnmkn3829PhX73fxeD//b7PsGFlYH6xFePi1GsiKIWjx/zePJIzOcfCJnyUnZui7j2ypDX3hTyyhsiMK7Ood4k0+ASYd1o3pLFwdp8n42JXyrclXdgMGjt5pgIaYgjy2Dkvnf8tOQv7wgYxIrHnqlx+FTAUt8nTH3QPigP1Vb4UlBX0FCWmsKNM1NZ4ZFyrO17wiU9quD2JH4mSwIfAp/MNXEpc08bfC/JMqIx9VrEwmrKF+5r0ekFzEwJdObFywoOJh95Rq8ICI0kDBUb5hSvu3XE5x8acrLTZOhJJ1M0eInFi3PPOvPYZersQqqzTmTxO4zVld/hgO6nilQrEk8Rp5o49jIrNabpx9x2bcKLrwp50ytGPHdK8vgBj2Gk+MAXGhw774GQDIaaNFJZulNidQlwO9YaVPmDRb50l5kfkYAods9LqTdcQk5geNVLQ177ohHX7IvYtS2l7Qk2tATGeISR7zbAXT0sgqkb1dq5DyfTW97yjQHcWsv8TP1319Y610fWgu+DURiTsDgMWOwlHFtJuO+plA99KWZ+JsEayw37Qt72HSPSxBXLzE8bXnhtSKNmwYiLA5ExBneolxI6A8Hjj2qWu65q74EDHp/8ao1RrBjFinPnfYzQxNbDCA+0RgQaLSW+EtSlpaYsgYJAWQJlXQ24zjxfXTK3n/dlFuBWWY+mKNjb9wy+nxdopQV7+36MUhFfeVTxsa+1UL52dtuY/r40g+deuNPhkjhVjEYeb3zJkI/f2+UDX56in9RoZjrcy3V4nCdlbNEtJER+J+XnWVa0fgXgJuuC147JPa1ItEYnqQO6SlHKDdKfqSW85MqEW6+MsSLkLa8cMIrdOLdPfDXgwQM+9UCw1FU8/rRPt++2f1w/5KxedFda26xZXviCiA3TqWt8SQ1vffWIF+6LsQbmpy2z06BQWOuTpor+UGWd/Yo0tVg61ytv6nfBvvMbYvCzS2tsmZtq/+xv/MWV/d5QAQipsiJvjVVOFxmTEpqUC13DhbUUSHnuVJNPfsUtNzY1TM2k3HJ9TKtmMKa6LK33EEUt8Fpf8dCTPt2OQmpJaCSh1Y6ZhMbNBdYIqZFS4klBTTkvN5AGX1bALMsZfQ7komx40NlQ0KzxuApux/BZWa2XM3haORICHWNtxJklnyisEUxJ/CztrbKqvLEs5kQRWl66kDNrahRR7DHTUuzYEOGLEcMkYJgI6toNwcxrSPKElsqLkgQIIYvfla+WLvg3lXJlk/VMltIoSdIsKaayEoeEOElRsRszoVWKVAnbN5hsxTBctXNEZIdIbeh0BA896bE2cLJprATxEiA3Bpo1wy3Xx0xPW2ziZGwtS2LZXPJGktg4UBsjSbOvuwUhpe6vqbq3cKWe/Z/aNl3pCjX7/AA/cWaZ8wudd9//9PlXLg5SWp7O9mEUJFaQSklqdVZEk7Vw2BQwJNbQMQZIQVm6a5ZzXzElbV2yamW8+NgKicm3XCB7FqoMcqRECTdzL5Au5exLm21BYrP5JyXj5eD2tOuod1vvUYDbtXW5LVEC3w0IDSplpjnQfe32BPJ0gufFBEHMqSXDn32+CdrHk6IMMAt5Ii5i8GoWLx8SmrtTaepA/iOvG/K3dw155kKLfurRSNymtK4K0JadONmePNXqu5zJCyVgZKXAKz9MUQujtcJLU2Jlsh02VJY4S0sLVqWFeyWzeEgLi7ApGxqW73qZAWGK2InieT19lhsNApv6mFgUMUOcSkIrs/hBFs5cMZLPlGP5BBZjQ1g9+spm/ci7rU3+yddl8D/54JdQUvor5xfYUnf1FDazdNLCm4TIChKjSKXCoMsIOBeXWfCQehXN9bzsLSrPMmtmcJFaHq1rAZ7IWFk4KaAllee8qbZSSKSpzEFxIPd12VVfAlwWsiXwbdHS5vumMjgncfsIec49kTLixHnBYreG0JpAMiZPZOXPyv7K8QKiyliGMhBURInHXDtk1+Yhz54PGaaaUQpBKvBSi5dkOjyhcJbKzKIaJ4vshnKTdvOGblGRRgadGlIlUTrfvjxn8nxIUBXYBiXyyVimSLpVcxSILAoQlvUgXmaxx00IU/XwK+DOE4qpLQPnIpkYegyiNXrRp93uvV8P4CvnTiAFTKs+NIxjF5sP3smyS8YBPQd8bDJ2p9KVk7F2MSjZXvQnMhZxZ0t5znjObwUtQAubHRloMwmQvy6eswYDXZSCUjTY+ko4sI+BW7pnPwd6HnxSbE/oZ00SuUTxtNOnvh+TEPPpe+tcWKzjTSn8XJpIO+6gTF7kigYvRzCUSZ9R6CbYvuGlfe59YkQ3qTHQmnpiiLJ0upJlQVSZZTSUnUN5oCnGGktc/sK466jc79RGkCiBTmW2i50re8iBPp5Qs8XYNylMVvBlK2B3t7D7GGX90Nifb8uL7jLdMrORx3MpphiBLTKQC9Lcis6GD7lZ4xqxurAuiY4B/KN/ewfNZv1ln/jsnTctLKakQbbPYj7jwppy0EsGcFN5TmyZYjVkF69ae7Ied1cAcFEiAYosmswyabqoeMuHdpbDO/NRCFVgF3NQFK4fcT2A5wFnrrt1LktsprfHa8l9L8b3Is53DI8croP20Zk80ZUCpbFsXzXIRBSdLHlbX+6H5554HHvccHnI3PSQzmqDQaJoKPAS97eoNBueFFcBnuUMil8kL67iNLZgR6Pc9fSMIFWSVBlSJUgykCeyLF6TmTOUV2vKDOBC2rEs89ikrKoUF+MFK0XJxsTrImlYgD1LVhVEkGfR8+FJkmGo8Ortm3ZfcdvLDjzxqnuuuv471gd4dxAxiu13DUPzwiiKCTztBvWY6pwLWzB6AeasDclUGxko6wq+HsALJ3UMGDYL1KiUcJbaU4q8Ja0sDnKtc3mnipMlquheKYGdN9869s40t6bQ27kl6Bi7BLeX6W+tYwQxn/pqwL1PtZCBxpfCzd8uKgjLv6fM9E1mM6uj0fKL5wKq4cjj1muGfPdtPf7oUy2iNKCfSmqpJUyylaq6YgiDkDJj8eqvuhSTg9EyG9cgSJVxLJ6DWwm0lNmAoJK5C5CPlUxkzRcF0MsMJxnQL3pcVJe0zsi4nMFNhcFNTgQVbz+Jaer4hYredwkV37Mugx89fprpqdbr/vpvvvDDZ88t4nvKgasy2yLJ9Vt2gop0aj4QhmpfXsXev2SVYHYJKkwnKEFRrUvOga8qM8VLoJMxOMV4CC0rLJ51w3hqHNxunMIEc2c9m37W3ubpvOEgqRwxETF//eU2qQ1QRfayGmCWfY25szGmwbPdiIthOka6UWhpHmxqBB5ve9WAP/90yJqJGaY1hqnASyhYXEqLTERWeGYyu3BSi0pKa1JUQC5Itet8T5TAU4ZUuyljOpWk0iKVcel6aVxwnwO6yCpnnwHGAE4F6Jd6VBN/RaVp0ZubA7x687vnpBgb52YhWgSjwSJR2PvhXftec2dn9cznp2a2jQM8iWNGo/DyOBrsTaM+9cDHWFCVGXIy65sshrqMNRBXevLI++0uLU+KMGiiY0Qyzn6Tdcll50n+vpztke9JU90CfGzYTQZsrUTppBR2oOu4d43JNmPuMsDUFfYOvIhHDksOna1hlYeSEl8adPWmzGzCwiGccFHyw9hyH6HSr3YgjxOPvVtjrr6sz9eeqxMrn2EiqEk3oFQnIiuCyrpwkkyHI3HicFIWiYngtmRzncUBythMqmQ3bDZfUik5xt6OueVYXf4Yg4vn1+GQG2sVBp9g8hLU4/MQEyNLqzN1GOwNQma64d4kDi+P4+TzFzF4p7NGEoeYNKRZl0jlZgWm0lV0yRRUxuJKQCrde2PByHL5Gy9WLxO16wK8otGqSZEc5LmulBWmLiWLKLvnBUWnS87k+b6X1e2/c4BXh/+4bnsKYBfZyoK502y78Cy41DGWmA9/ucHych0RaHzp3B01qb8nA8wxH7ycLFCt4y68aaOIY82GWclbX93jkcNtwrTGQPnUU6fFx8pZk0opKybzxPOKj0yqTOjxYt5jZQqVNmTAylck17ytTN5cIsfkSnmd7Ng1qwJ8vIgu81UqxDfZM1DV39X2vlx3l/IkG/BpBGFoWOtGrKyuEkejiyXKF77wWZSULC6tMtXysx233D7nKrUk0k0IFZlcUQaMzGeajLP3WJ3vJazQ4sJXK9LGwJ1lgStgUWNDfcqZg461y2cH8mxcmx4HuK+zAUBevnVglhTSFq9IxZvsdTp2aOU6d545AR+6o0UofZRUWfZyfCbLZAZzXassB/qYDs+YK1UkqSZINW997Yg/+eyAJ47WiZXHQEr81GTukUCmVSKwWXtZNe9gst81vm9RlclLcOeTfvN4xyDTfMRE2T1V9G3Kihav1u0Xf7v9hs7BZAVqMfuwuAHL8c35qOZy9jiMQp+nnznKc0cWXX6mCvCz586zZfOmxh/+0R/tOX9hkcCXqLQM7BIBInVAlAKMEKTCgVrKSo1MLk3yWRf2+dk7X7qq+tt1ck+CXIzJk7zOuhh3UBl/UJ3apHUO9Ex7qwlw5+l7L29MNm5mSNEiliU+dJIdMcqLOHRG04t8UDqTJ3aiPHbi75p0USp6uABbNZVuqokfTdMTXLltxBOHIlITMDQ+tdTVbOtMgyvhNmt1NmvOmm7D3SrInWyUxaphDehsskE+MVZlwzJdPCOzMdeWsrgrr7MpWwYL9s4BLquBZn6tL0bDZMtiob8r1ZZjCarKzHG38a/bBDiMLEImbN4ys+cHfugfNd72th8dbNy8xQG8t3ae01HntTu3zf/s4UPPUgs0cezKUqv3mxACkVpMFjyZnLnleH1FtQZ43eCSCYkiyi2n8/rpHCjjwyHLBgJXLlp5rjC3rMiS6i7GniLzwh24HYDLoUA5g3t6gr3zvk4/YqVn+K9/02J5WEMEnpMnsuLuVAf9fJ2MdXGujCgmFJQM7hyVJNG0G5p/+n09vvRIm+XQJ5KaoZT4RQ9l9eayLp9Q1NKboozWYjJwGyyScWfF/SxjLcq44NxYF3fpbFeOvCl5nMVzz7/sky3m41DJ330dT/yifl2bM3i2kW+a97BWwJ2WW7mHsWAUjrisNvOzTz998J7RaPi3BYMvnn8K3/MY9U7RqhmGkVeA052MHKlOb6Qi39RUFKPZcnuwYO2qxpoEdgXcJRDE2LJ+EcAr02LHAK7Gh2yqCqi1lOhMkugC4LnmNkVQ6WlTAXfqOvHVOHt7Ksb3I/7qyx5PH6mD9JBSEsiKnSnGNXj+B16ymrDC5uVY4hLkiXEtZ0nice3eAd97W5c/+WwNowOG0ieQokz6TIBtkslFlckn5UAOdAXKulXBWIEyLmA3Mo+7BDIb5p8H06JIOGWdV7KiwXPygsIHF2MgqMCKcWlbzfJWZ5En6zK4a+1bXot48sAx1vqWOHYbQ2iApTXX9Lrac9tfe17eCWIxRqJtWhryOIZIhUVkuzkYC7IaKFRQbYsgQ4yhvZhFPQn0AuBVFhcVfVsFuJMnsgpuKUuAF4meHODWzcnOpIinKgBXFzO3Vo69Pe2mVq12DJ/4SoulTgA1b0KeXFqiICYqKYsLuo5tV+3EySRKnGhm2orveeWAj987YrkfECnNMJWZPSnKlrKCQcfaSSBj7/xLpmDzchakspkOVwJtyxhLFSulY3cprQP72HgJUQIem1UV5ufBFhlWUYBdFCejkClQSfiwjnyrdkAJkkQQJxAlbstxrWDzBp9d2wLC0P1MffLEEaanp3c/8sijP3NhYQWtNUKWk5dSk5KmOaisK5QRtih/tYC05QDFSVuwemnHmLwiT6rp+RLk4iJZIvITLaryRJQdLhlrqyqwVbkXvc6ZuwrsdeSJ1tWkToJWLnN57LjguRM1DAFCOvdEi7J0YNxBGe92yWm8WotSnq9Kmrq66VNWg5GkGqxm/66IvVtGLD9bx6a+Y/E08/wrLk4BKqqFXnmNkKzkJ0xRu1/IA1lav3lsYyRujyUpnHs2JhtFGdwWf3e2kmRgzj+HOw0lCvL/5txu17nxy3IGSh1e2TEiTiCOLVHs6uIXLixwxb79P3PTzS997LlDh49rJVOSJNw81UxeN1NfxtYDRpHFGqdtHAFlH1oIrHTfy5emvBCr2vq/boXNBLjXZ++yY7vK1iXYx4faF8+qZHBd+ODVI9vSWlXBXYJcq8qQIFWyt8reax2jVMynv9bi0FId/FKeVN0TMcHeX680etxancjgVTrjU6OIIs1lGyLecOuAB59pgPFIUqfFvTQb8pmOS6VCqhQXJLcNJeVgVFFhy3zctcDKbFWR+SEK/Z2/zlfwPPYojQKBNLa4scf0OOtLtvx8VAFe5FSK+GSC2bPvhbFhMEyJYsuZhfNcdV38utFotHkUJse1p90ckWYtZfNciBWCbt9tj93plzsrVBMWUlY/gEXayof7egCvMnfOMJBF3ePzqUtpIgqQFzNB1mFwVQV3Np+w3LaDi4DtFXML00pwaTKQJ06eqJh6I+JrBxV/+5Umw5EPDY2WAk+MS5PJALMaZ6x7QWFcf09YhlVfPE40Uy3Nm24f8dl7Bzxw0Mc2PYZpgC9cJaUSWX6gEuyVjDkOcju2sprS0VGOzVPp9HgO8IK5M0aX2dwUISCVTh6JCj7Gb/ZM2ooJDFwC5FV/vIhRsvc5wKQQWUmEJYoMq7002xI9ZRi6LVHixKK1DJF41IMR2zf2qdVGLK55nF5o0x9CnOTNChRsLrMawbw1aay97hKsXf2jxodnikIz5qCf1HWyAPX4exdgZskdmS+pOcjzslmLzsYFl4epjFQuZxc6tnaHUi7A9P2IOEr57H0NnjnZAM9DSJWBKg8wy61AhBxn8YskWX6eCu83K28wF3vhRZlopsWjSHPVzoTXv7TP48frhIlPKj2GRuGnlJ+lIhVKETAOcjvxWVD5zWYwSqBycEmBVSAz2SIzwOckI4V1W9VUXRwzeV0nZco6+Kjc9NX2zerEs9yKFsJd4yCzI1d7lhOLhqUumESy2jP0hwm9QYKOV98HWhP11ji3tkK8Cl9+rMXTz/psaCpqfslK5YUS2OzkXSqRc2n2Hm8AqII8Dy5z9i6CTXkx0Ksjf1XB2DnAy8mphUTR+ZxwkzkpJgO0qQA7Y+8suNQqJvAjnjoh+Py9DQZDH5oeUuSVg9WamHWymBXZVb2ceS2KQ9f4dN2CwasNyVkBVhR7tFoRr39JyMfvGvH40QC0z8hI/FyLG4jTqm3nchhkcoW0CvYS2Na6la+QLtKxeb6qFMm1CtDzjLKQFPuf5jPGISMpKhlWuc5K/jyPi9w4W2JGS4vUMNMyXL2nx6ZNy3zpCY9+qPjAZ7/Kh7/0JMYm6N/6my61AI6fTfnsPRtY6dSZaWp2zUDomWJ/m7EBNsWy8/XBPW70lwHXuP4WlaWtAuz85IkKg2fvc2CprJsuHx6ps/c5c6tiPng+MjgHuSkGdJaHy1Zq5ZI6nheT2JRP3VPn7qfqUNMgXUOzn6fJq6Bm4qi+We8CXpQ7EMW0hNJRkWNAD0cer7h2wBteNuDpEzWSxMMKxVBovLT8PMKATEurcPxjjDN5tbRCqapV50ZUWCsylh4Husyy2dJUXZSKZVhhciBjdnvRSv78yYKLmTI3PLSGWpDSrEm+7zaPn/zuLgtrMXc9HnNhtY7vpeg77tqMlIJRGFMXQ+Y2QsOztAIXNdvKZ5hcYsTzfjgx9v3qXVsdrJ5rb1GRJPkmUoUOl+NBZlFopagA3VaYfEKSFOCu6O5KYJk7J84xcc9KxfhezGPHJR/6cgvwQXoIofBE3mRhSz94jLnziyqKM1FytyguXNVRKWpCbF7kbzCpwKhs9EOxT7zGWs3bXjXkC/eNeOiImyQQG8UgFVnBV3Z+Mq1a1INM2HNVJq8CPb/5VBZ/WZXNQbQ5g4syqWUZ//tNtZIyY/BKdroIMqsM/nXYvHRjxjEvcNnX3tCH5WnWek08lfCya5pI6WMx6P1bU5SSDIYpy2upY0dF0dZVRMhy8uKNf6iLAilRXt7JYKscVDPhnGTWWsHcY9JkPGKvlszmkiTftsRtz1GCO9/dN2dtT40/61x/q1x/J3heQpwm3PlAnScP18HzQOpKY8P4ha0uz+t38ozzp628KBogqpnFapo6dT2qrpRWE0Ye1+wd8YpbHIsPU8fiofAZGdBp7oe7zLMDlYV04ibLXjsQT4BbglW20OJSmuy1GwthrShYvGTu7HzY8QBTGjAiZ9/xjOZFJHgJ0Fdxkm9w5mxCwWCkSJIArXystSS2icUHLNr3JVIKakYy03SfNC9sKncpExVNTHnCcggXH1Bc9OGqy1BuWVU9YnJgFww+aQ1WspmVHcvyXQ5ySVJ285TgVmMBZUWK6HK8slYpSlcAnkkUX8ccOid4/2dbhLEHDS+TJxStaWosc1hxTsaWq0uscnYc6FWZkk/qvbQW1zQDyY+9fsCn7m5y8Iy7+VKjGKTKVRmmWbYxu1Yizc491aDT/fKqPYdyzF18pizAVNbZw8WKarMjt5CtyCTJeLAthXNA8vNjcsIT64D7otW+cjPYbBWQWWlDlkK0uPrwkXTzGa21aF+hlLNC1e//7n/ZVA+8/3Dm9Kn9rnUrbw4oN0+tpsMLoEtZYVtB6XhUmFiWz0rICTck/5kys/jkuKc94YoUzQw5mDUTgSQZcCuBZeF7m0KujNeaVHZ/yBoZ8iOVEX/yyQZ//vlpCAJQNZTSNJSlrtxeN3llopc3OWetcWUm9eIMa1nWW1mBiliitB3z6j0hyZoO8hJV91pYw47NEWeWJA8/6ZMIBUJhhcI1aNtxKVgJ8CcW/0suw/n4SHuRjLETkma9OpK8zmadWIOq9Tchj6o3F4J87N/kCGYqwXiaCuJEEsaSYSiJIti554bNl++/7Yt6efHMtBbD75xtQ2p9otiQ5NbghLWTF/BXGXuMoSvLydidmAelOVtXGb3inJQJnmqzw3gZqrpoF7Vcf1dS5mP6Owd3vp2JLdg6twJzWaIz58TTEc+dlXzwSw2QGqRj76JzvxoHVD8jTACKMWZ36+s4e48DoUy85Jk7Xe1DtFn6XmVaPNX8wKsHfOzOBgdO+5CNVQuNhxaujLY4t2kGxbTioOQSpeRyqnsmqUy+KJs/gxUVKSXyYNP9ntwqtJlcyxLeY+eitIMr52aMtSfYfNLYyH6nyevNU/dNYwRJNoF3MIxozHS/cxidmNYbpgZ4JmR5k2W1r+gNBJF0k6kKf7sSHI5JkmrQwMQHmQB3VX8XX6/Wm+Q6rgJ0Vfl6uXtarr8r4J4AdnUDqlKmOM2tMmtQVSSKA3YJ8lQlfPKeJgcOldpbCum876yDZrKrfTKDWWXNSa60Y68nGpAnPfFKR7lJpZtLk02MjWLNVZeHvPFlfY58MCBKJQjtMpwIFBVfHJe/iAv0lK1l5JnoTKe4pd9mZRjVgDO7qbPXQmZBqHCZzxzQclKHV1YSM3Guipv/EiBfz9zIq1nzW9Val7YPY+gNDOcXQxozA/pxDb176yq91gqDtR4HT/gMRm45dcU5E4tZBeCTYJ4EPSKvIhtfJnOGn2xmGM9gVlnbjgWX49sElnthjgFcVpI7stTeeeq92OKkMldcKTep1vNijp5T/N5H24yklzH4eHA5PvdkfEOsdSPwdR5FM0ixrNvKa8F6qfu0MtkpNZok9QjShH/y5j5/c2eDI2c1qBhrNJH0GBqBSvMbzmY7plV9sYzE1Li7oyr+vHIRZVaMlYHZ2oK5rczT+rbQ40aKMYDndSnVfMdFAJ7EyEWq4GKgTwI8NW7z3OOLKXpDSl8a9CcelFxYEDz1RMqmltv5FpxzMVE1VSwRYvJrY6CvSpCLmb8IQPh6wHbgUZX3Y+CWjAE7Z3KtKq6JvNjrVmrCNRnzviO6keGPPt7mzEIASmfWoCwGDE0WVY1Jk4vYaXz7wHWBXlwkUQB93EXJU/jlZgNFM4RUpIlm23zIT31vj197v08ndgGBNZIQ5WzDVBQgrwabRfRGRVeTa12LorwBVX4DSorGFindvZGD21ZcFJt1FuX1SiDKUtrKubmYMNcHMuJi0E8+tBJs3Si5Yk+fy65Yo9320IeOtDl3PuK5Iz56d8xMS7sG0wm9nf+qsQtWBfNFz5PJnPFjrGfxoqaGDNzFe7sOwDOZkE2wqgK8Cm6VvVe6ZO2czXPWVlnFoBfEfOBTAX/44Tah8Zw8EaqQJ3lTsRr7nGV8Mr4ki7HzdikWL9i8wupjjbc2L1s2F6fwjdsKvKYT3vmWPs+d8HnfJz2QEaBIhWRkMjclza9JXrpaLWO24x+qUr5qpQN6/nlkxupCZtlXmQM6A73IviYY0+Ay0+7l+bEToF5H6k68z58uSvVnP8PXMDsluXxbjct312k0a+jN06BiS3deUPNVxf0YXxYKgK+zdFxKqqwL7gnmLrzTCrBLsNtLsHfZXVIFtswG1RTglnlAadAyLXS3qgaZKkFJN2twZRX+5ksNVsMc3A7gngQ/m6xVTcuPf+5Mf+cXoQrryjmsAnkS5KYiV/ICLJs331aDzUyLK6MwxmnuKT/lzd8x4GP3NFjuKZAxGEWMJhRivE5l4tpNgjy34Eq70GYruy1iBpnXqdhMpgjrNl6uAF0UcZWTNkKMl/COZ7arGc71ZO/6DJ7/DflKMYoEJ843qc82mYob6I0zCmU8Vjb4NOq6UqI6fnHG7yJx6V+8HrBZB+CV4qSqli0H2VSCS5F54PmOatXAckJ75xvAutdptiNCmYpXlaMMLGO8RsKnvlLjgSfrmIr2VlJWCqvshDypLLlVwFQOMXHuxh8VHVxJ+JR7uV+iytBKVMUXT1IPbRJefG3Ed9884M8+7YOKQEisEIyMdgm87AakyEXYiz8LpWjJP7StVEDZQqZkgWimycccFJs7KRQ3QnUbQjf9SozhoiRF9wMmWXs9Eq2+zrc/SVJBt6+YWvQYpRq9aU7iS0Vno8YgSdO8cXj96zGG+0sB/BKgHpMolSL5kg1txSYcf60KFh8Htqx21EyA270utXexxWAuT6Q7Ai/myEnJ+z/V4nzPd2uddIPelcB1zQiXHRyrPbnoEGOAn2TvycdYoodJiTI+H8SNeDDF+9RkIE8lSrrtTzY1U378u/vc82TAkQsSRAwoDJKRkCiqmVaLmGDudZnc5iORMxdFlrZhrmZyBwWZAXsS6LZiV1bYvJC8BfgzcBdFVaWIcv8Zz4JOnkw3XsIyHMXMzKfE1qC3bIhp6IjuUkp3qBkMBXE6voyud7Gez78U64B9cslaD9hV4OcOSs7oJbi5BIuvA25V1dsVcMsULROUckM0w9TwB3/V5u5H6q63TWqnvaXMunYqjb2VHsSLAswJJp/UimL8ekxkMMsqwxw8Y+WztqK/ramAXJGmhkRqVKJ5xY0RP/22Lr/0Bz5hIl0GykgS4TEUZbYRkTcmPw/Ic58QKOcIugBSZhLGSncTOAWTB5Z2AuiZhCmK6ex4y+I6zO2eLWKMRdeRJ5XzlSSGQZiytBIztxJjVIqenx7R9AaEnT5Hz3oMR2oMoPkvKxasiV90qYBgkrVlxU4btwbtmGuSV4qJXO9WwC0n3RNpi9l5lwJ3YQcWFmEluJQJnp/w5Yc8PnZ3gzDyoK6d9paqYO9iG71qAmqMxUUF2CXruENcknGq6RaXrZsomzW5zs2+lrr57CqVGDm+jWO+k1q9kfDmVwy54+4hX3hIgYodqxhJLDQhpaPixuWPF12ty+QZkGXmrdvM/yYrxrPCTVpQCIS1RaIn194F4G0e5JZMn5+/wpcfw1AF9Ex8PHLJUn5OAwxGlmMXLFNbBdYX6KeO9+l0+xw53CcatYkSte4SvM7PL96MBS05sAuAXwzsi8BdbRgQFaasyJKqNHE3ganYg/kU1IvBrVSKzNg7B7fOwO17MWt9y6fuqXPwXM1JE+FKYkWR2KGcIFWtsb7EzVq4AZcW3uM4dwgpvOZqbXjeEFHMCmG8VjxncSkUMjVIqYlDzZWbY777tj4PHPDpRFmlHJkexxkJynFfCWZ7McjzZoxCohTFWWRiPgs6RV6j5P5+K3BNMfnX84pRW/Zt2glsVLjBrS42/3nrn7cxhSCci1XzFJvmDKI+5Or9PTZtrKE/dm+bs+cjnn2qxS37LJs3GGqBzAK89QE+vkSMv78I2BNMfpEkEZUlP/tamSU0YyBfT4Pnk08di1dlSznXeiw1nzO3TjCk/Omn6/zhR9tYoZ3vnTknjr2dPBmzMLPPWvw9sipJso1Sy4V1fYxXZEnJ4JP621acFYqGZFtYhSabF6Iw0hRyJU49pDK8800DDp/1+MOPaeIkqzEwEoMgFJJ869hCiwuLMBMgt6KUKMV3HCsXn9tax+jC3S45W9tspbD5EPycBMaAXrK3zGVTptltfu7spU9jGc+5H+4HksvmNW/ea9i3f0S9OUTvmvGoJx7xJkU9KIum8iq9r5eoKFncfZKi1mAC3AVji1KOTAabqqpvczALnAwRFXCryv70skzHS1nV3aX21tVsZRZYen7M4fOSj93ZpN/3oK4y9tYle4+NgxgfLzfm41f+zuoXvpFzN1aINHZUspiyWqOSFRjl1XxGII1ESqfFpXAzDVvNlDfdPuCzX61z+FzGVjg2T4xghHCBs8muXfFZRXEts1R0wd2qwH0O9bx0NtPiOKC7aWe5DneML4Qt3BRZyBXIp9DainwpyHPM6LjoC8V5d2rJnbjBSHL09Cx+awPtqTn0ri11Gl6NwYrPVMujHrhh8J5ywKqy9KV6L9fT3fmHrFqAk6wtKtJkPHgbDygvkigZW5d71E+COwN0xt6y8jUpU5SOCWPDHfc3+dKjdQhUFlhq55zIkr1z/zh3USZLQS+Vrfz64mQdsE8cjDkp1WGUotgKvNDiRpIKhTTuiEPFd7ww4jtePOTUZzxCI0FkU3wQJEIzNJU4ocLRVW2bxwd6LPDM8VCm6jFlAFqyd8USFO7fy1zCZF0/wrqTl/vokx54oaAqv9/mAMxWH5WvMqG7Kwcjj+lNLSLRRl9x+a61epB8drDa+AfWGteFntV55L/k4kzbuiQ+pokc2Cc1q2XSHhwDdqHHs2H3ylLWotiibDQHeZ7UkRNWYA72EuhJFlhm8wX9hLsf8vn1P54itRq0l1UMaoScKKoqrMHcA7djA/svysqKi2/y52PvKosXF9BWxuJNpO+tzIAt3H41NpcqRmKE88al0SSJ21/o536iy8HTmrselBi/ZHFrBDGKEVlzhCWbdVOy8ySNKWvJhtS6YFPkYHMgL76W1azIzDa0lUZom80St0YUZJebOUI4+ZIpppK0JyVdlnzKP6kUEKeWKDGMQoGnFWHa/OzU7I419drbtvRNtHCkUeOnlYjdLgd+2aRbThTNASwuupDFRa4238rqUakErA6wz3cLU+u4JGpckpS2YO6WlNpbFU5JWWsyVliVt6KpGK1iTq8Kfv39U9zzaNNtyiP9AuBauvnbQaU09qLa7bEj63pSZDXtlXEWslLzrib7SieaNzItKSrnqLz5KxnTyteFtOPyL68fz8cZW8uGuYRAWx54wmdtWA2qnI9imBhQVI0fxl6vvy6JS3yvuDUqen29/2vMIykALMZu/ALc1haTcNPUZgVWbvhPkrpREWGUEqeaYycu/Pj9Dz51UOeZNCUMjZpB61L/uGLyfCYciGy0bl5wM9YYwsUMNm4NjrO2WEeWXDzccdwizHcQVlkCJ2d1LccTOeUxrruVSkiDlPd/fIq//UoTWyt1d5W9i3Fs+eedaDCelCelpUVxiIuu56WoPKskLC7ixVWGpXVYaWeT5a5kYx65kaRCIlNFKjRymPLmVw555qjHu9+ricaiYtfvOTJiLDAeh6Qo5UHWTZPLlaIhQpQSwhYShKKjwcrxMum8w7+YQGsrUi/X6xMqIceb23LFATyxFpMnJnPsYWkqi87Op44SdycrAc16QuBngzUNbpOfWBIlstKvJ7Id1CrXrLo8MwFuebEcKZ2Ui3X3mDUoxgNK996Ms3j+Pgd3YQtmCR2VFBWDSqV84aGAP/5Mk1GaTcGXZWJHZdKk0N5y3PsWYjxBtW6dzfhpWQ/pYxetVCZZMDchW2wF0DbX3rKSAJIZuIV1lmEqMUKRCoMwBmk0gWf4ie/qc9/jPl94VGYuSG4fQopmRA7ySnKlAvKqnZEgUJkNCJkvnu0cKfMuZENBhNI4UNtci0tnI47NTxm7oSbOXcbipmBwS5zabC5hueOIEK6Tq91ynWlpatFbNgxx/BPhqxG+50YmJ6kkjDSDkbtf01RljaO2CAyqq1D+gYoZ0VWtPaa73TKauyKiANI44Mf977Jla1yijB/5pqU637hUJUiZImWC0jGDEH71PVMcPRNgc3ALB24hRLYHZ5lBrW6CtZ6XPwnsIl9dLGeToJ5Y8ir6ct2sZsULH99HcnzvGpPVYBtTSQBJ5XY1NhoZGS7bGvO/v6PDff82oDfKPngWcDpnRTGCzD604+iqgjwHM8JZiFlwiaD4ns09cPIAMv81mSAxpXcuhbshsnuAsuhqQvwU58oBOk5hFFsGIYTZEHwQKGGwMqU+TDHGoPfu9N1FNiOkWUQpd+LCyKM3rGNtnTDKSnRMXmTzPOAeY+gJ12QyzV0JLMd3D8DtzygqAK+4JgXQVQlqmbO4crvwKplk9qALLJMUfucjLR59tuY876yHEel2UFbCVQy6xM5EUCmqLL4OYxfvqxtPQa5hx3h7vRofW7J5PuuxGkiZygSsavHV+C5tEpv54UJIhJFIkbW4CY00hhv2x/zT7+/wn/9qmijNWVxkbTiQWMXQ5J/74nLafJVRxR8kCp8bkbsolefMZZHZPZ934JssK1qM5Le28OVLYE0QaSFfsqYKA8MIlvuS1VAwiF0gjrFcOzVFo9EmjVJ03H4TzcYUTx+4n8998QBC+tx2fcQNV6TUbJsgVCRrAVEi3O5WpgLsyi+fTMWX22k4ts6/N8nUk5q7kCWi3JOx3KuxBLdUuXuSjjN35ZC5RKmlfPH+Gu/7SIvO0ANf4dLxHgiNECLT3tX6l4mhPhOdO+Nln6W+vHSANk6EY7Mcq9gvspq5m4Kb3ps5KLlMcVNgsyIsWXb8OL/ZbYWdCuU+t7HIJKVdM/zkWwY8/HTAHV9T0EjKeQ4ZpGMpHZBslk20kwmgcqqZ+7glsxcbSpiS0cl6e4v3gDC5s+JuLDdA6PlB7lSBu3ts1lg+jAWdNCY1Q26+asDLrx8xGEa86hUvY/8VtzIYdtBnllpsMA0ePjjLf/3QToT2+dBdEZvmIubbCW99mWU41KRGjAE710zVizqutcdHKqwH5Fxvi4mAsuggF+uDuypP3P7paWEPykKeuABT6oRnj2t+70MtDi95LoNVZXAh3RbhGbCrO6UVNifjDD7ZXFyNL6tW6ZgYv9gsqMQ1lcCy8r4qU/INBorSWSOyXshMl4sS+GnG3lKWdSqp0MjYsnc24Z+8tcfx85pDZwRW58hzH9paj8hMdJK6Lt/yE0tRRnYSJzmyZJHNvwb5tOaiQDyb1uywgBsBmq8ekyCvLBKV8ynQgO8pAh90M+V/efUCG1shm+cs2zfCaASNzYratMYkGj1dl7QCyeZpyf6tklQqoqTB6mID+oYv3a/ZtVXQqrttQHJrb2zIZHUZz9PYYxp8wuMuXJNLOybl60uDOwd2+bUqgyf4Qcz5juBX3zPFx77ccLpbjQeWMmNuX1QyqUWQ+XylsZStd5UrcimvZF1pAhfJk7EirHUym7I6cbWS6ZRZ909qHGGkQiJSlS3n1rF5avCk4c2vHNIZCX72PysurEkI4iyKy5hcakJTBVqmt20V2O61hUyyiEyDlw6LrLC6NSVj5197PpAX60V+XkU+fsPtWN2sK166zbBjZiPtRohJLUdOSTpdyw5vio01nzisoQNf0moG5xuB+PyVu2dfd36h43Yj8wStmiDwIYwsns6XYVG0H1VmlI7VnzjdWg0gyYqo8g1Enw/cmc6uShRZZiqrAaWcBHaWzJGZ7o4wfPLeJl98sF6pNckLqpwtmHfrFNsRVrOr64BaUskFVBmGilSprrLV1b2guHVAX5UsGaDzbpqCyQs3Je/4sWW3j3CHlBXbUNqMvd3+mUZY0sSitOG1t4S88aUD/vyziijBVZXlQSdgpc6YvBp02vE/KGfyHLTVr+UnIfueK7oqwTwJcpG5czJzX6qEISqk47CpCHzpunfONWk1fALPACnIGaLE+zyydj61I9Tv/M5vs/OKm9eSVKxFUfRDK8uLTLc0zbqgUZPUfYXnyWKT1Wrd9thc7IqeVhNfU5UgUonxFHyexKm6JWV1YCWoVFWnpJKlrDzn7olWCalM+cTddf6vP5zi2LnA7dUtsk4dlY2CqCR18rLYfPZJkYSS1Vrw6nYe62xrKKpTb6vDjSYn5FIWs+XnNPu5+fsiqVOJZyaTO+N9reP7U5bL+uTULbe78lw75arLY04tKA6d1Bg7sRwJp8mNEONFZHnMUWX3iXt3/PvlvT32qKR4q7mEKlnkVYLFpgfZxmJur9MsU2rdloJRoojjlI2bdtFut/51Z/nQ/Xv2vdzt0aNEgkQSeIbplqDVkMUuwe4HrSMgK18Y87ZzmTLWmVMtnrJFNq7U3LljYsa/9vXALQ1KlAyeW4Ken3B6SfK+jzY5eCSAZsnauTQRmZ7zKnXeZSLHcknXpKLJq+xSvTiXvKgXq5NCipQJHru+Jqe6cVQlCDXuRiodFYnMGd4IhJRZ2t85Ky7wNMShYf9lCT/xph4PPulzfHHMDisGnBijshIPUQaMZCxbsLdjdVthciucrLGVwHMsQZg3brp70PnYsow98h9dTdFTOV/G5HMJIUmVq01C0+4JgpYhid0H0QAvftHV1Ot1mjXorZ4pAO3GEsuybLa8uUumkOMgGPO5J8F9qYSOtFmw+I2Cu5QmMi+gyrKVWiWs9AS/9edt7ny0njUwVAJLqUtbMCuoGi+qYqxTZ9zuHA8si8xcfl6ySqSvg+uLLlYV8NWOnirw8wBTFg6KkyiiYhNKaQu5IoTzx6WxGCypm1PlNLkwTrYMLK+8IeSf/0iXX3nvNKvD7A+yojItEze2mSwbWXFTxDogH3NRcLUnObilyc9T/v0yKaSyJgpjy8IvY7PalMkEmXWbFEexu8mjJD9XAXvru9i49VpGI7fbsQTYvm0L116z/w5frv36FbsbzLQlviezvSZlIe6LBmEqTEfOeJUO+Ilg8tLgzrS0qIx3+AbAXXjf1SbiTIOH0vIHH23yno+06MXaDfkTFe0t3EgMX7gdArScAPZYtnU9Hb7eIKPKcl3Vjt8wzMU4i4+BvTwKRjcU1YRjTkultS1n9GJYUOVIjcYYTZoomhp++i093vl9Xeo2cRN0TAI2ds8mAZuSGhhZCI0gMhAbt8V7agWJcXP1i02ibP4+n3NOZb5L9nWbT/EaL0Mo6uAnZxpm/9b9nCxwTjOgR7C8lnJhVXLwyMKvb9+5746Z2U0lwLdt28oTX/2FwbW7Dx/btbVLdxgSxW4+uFSVoilRasJqgdV4cseWgK+MOKu6KRdlKVVVplRb0J4P3JXgUqRIGYOX8swRn7+8o0k31q6/UpSypMrenqjMOZlk73UkSfF6TLKMNzZUI/5xV2V9qNv1nivMXZUoZXInz25Spu6L7vsS2PmoN2NkcTOkqXINElk3vrGaJNa0lOUHXzPgqr0hMs1AbVIHcpu/NiQGwotA7oCeg7wohjIVME+AvBwRTVE1mb+3lX9TbfrI/63NwW3KFH3gQbsZc7Zn+Nh9S8e+5x3/fjC/cUspUQCYfQtBs8bT99zNgaOPcPl2jcBNfK1W0+UuSNlmVi2SqrCgLL9eAnqcuS+SJKKsDpTPA+5Jza1kgvYNTxzx+Ke/Ps2ThwKsl/vclYIqIQpw59q76ntPZi0v6iOd0NmT+rwsJhoj5+fRJ+VzBdPZMuwkSKWhpmRqrJMqwhbWodPibpt1KZwWFxaEsRiZ63JIrUQYm0kYhcCQRobrLo/53Z9b5af/vXDz0P2qTMkjSE1i5LgkKWRIKVGsyU9I1WERRWp/LCmUC+5c8uTJJSuyWhWKz15ulJttLW6yrn8NV2yOeM2r9jOz9ZWYdMQn3/e/lQwO4Psb0d5mputtZlsKz1MoXW7LVx06P1kGW9Rr5zbgxL8RF3nb9hsHdyZhpDAZU1d1d5aK9xJ6Fn7/Y00eeyYgVaoMKHP2FrKoN/EFYz2Wk77389V4VwPLUp6sYw+ST7d6fqFSjiDOsS4Khs7vAVOVKJMMXpUmxe4QZTGWrYx7M2NHyeLGaEQqueGqiP/pTX1aMnFrf8HgOYungCGxjskjKypSpWRyk0sUK56XyU3GwKktC6lKKZPXwNuS6dOcua2rJjSWJIUwguVOgJZzXLZtEzs2zRfns2DwVt2j2fAP79zaPrK4Z3avNXE25zqric5mbpf9kBVgq1JvXyq4LJl7PIj8uuCWZcNwtUpQibz1LGWQwvs+1uJDX2wSyvEiqqLeRJbSpNhb/nnYWzDeojbmmKwbYFYB/3VxfRGT2wp9j0sVUTgrBlFMezU2f20LsJt8jHFm7eUBqGNDl8aXRpIKChZPhXK/LLX4Iuatrx5w4ITmfR9t0Y9xJywLBIuHhBRJaHDp89xdqTC5Llh60iufYHLrvl5Yndk0gaosdMkr4T53WtmmPHGVXnFsSE2TXtg6ggwOpzYpPmreZsdv/uZ/5Eff/uoj8xvqG6Vdvb3X7SClQinKvSa1zQa8V+YB5nO58yE8FV9bXwRuw6USOl8f3KVr4gqp3C7E/cTy3k82+ffvmebCij9RAlt26kgJtSyp48sS5FplMkVVVigx3tRQbEo7FotU3+cet8xijXyninJLlurQ/4timjyumYxtZHVzruoNZtdZUcb9b5n3WRb/pjpzxBY3ZbU5HAvTbcOLronpDiRPH9FEyUQQkt/RuFIBt3tDpbiscneL6l1feS8qjDD2Y8v/s/K9fFzg+J5P+XtroduP8OrzzG/a9TsHnjv+RzffdGP1Xiwfs9OwfZP69NJa8tggVC4NqyqbOhUJEDuWCCkSPPJiJh9n7vGunIurAi8Gd5mxLIuqHOATZC3lb++q8673THF+1XMZmjFLUGWed6678+6cnMEnNXfFIZqwP8d2K6vq7uJKVS5K5ZxWi9KEmKg1mbAIxxi8wuKTR7VstmBvWwabeeBZ9G2airNiZCFbTDaKuTw0caTYMpPyv/1kh39w+wCi1MmUXKrY0llx++HAyJRyJZ6QK8W22+vIlXLQP+OvTSVYTW3xnBSdPJY0NdkMe8v8rMfWjfaxQRJ8epSMQbpkcIDf/K0/w/hXnFxes7eYNLmxFlhqXrbPu8Jty1ewNIyPbRhvM6tOn5qs6Z7siL8UcxclsBNet1IJOjAcPuPxa388xaMHai5Tme/GIPJdGdz4NZ2zt7R4lYxlUfOtKpJFkkkuJo5x5hVSjH+9YGzG2HqSwce3eqFStyPKm6rC5MXWipUMcrX+Z+zmE5VsJpUJUkJUWNteLK3G71GwlqmplHrNct/jHiur2clZT4flGc+LmHyCxavMPGY9jf/YMr8w+9hGlgAAL8NJREFUofEqLFFdCaSE2emA7ZtrnyI88Ts/+sM/Mfa/aSYeN79wD0IIzp85jEm6+L7Aq/ROlizs9n4vK/4mqgErVYCXAreUXx/c1USOzA7tpxw5q/k/fm+aLz9ch1rO1lU7MPO8s0KqvFNn3aTOhHMyxuZUqgcL/S1KXV6lbTF5Qf87H9XIsroLcsUyNBY3888Il8ip6HFjRaat3ZjjPAB1uJDZ3vKOEcnKaFPhfqjAFno8xSJG8OobQ375n6zxi783w9FzgEfFQclfg5WKBMGoqrkBW3T2VN2T0m2panJr1jkZY9q/svNE4aEbUmMZhG2s3om5+IdcDPBXveoVSKmih+5d5cypVYSQ5QZJmQU4zswXuyNOcpQ6++IA8xsEt0jHnBMlUzwv5fiC4t/9/hQfuqNBJKt+d7UUVhbSpDrbu1rXMdZ8wTh7FtowB24VxxNgHpclYswH/0aBXa0oHLcMx4F+cSIoly2ubttNe83B7gLL/IawwkkUsmDTZJlNgZNxRS+iAFJLoC1ve+2Q1Ap+8XemObEoHGIuKq66GOR5VWEB0grI7Togr9aYl+cl+zdZjljl4M56g1NpMSPDjp1z3PbyV0aJa+t5foDPzs6ivfa/3bxl99Wry2dfmcb9Yk/4Ig2fe+GTzC1KcKuK7pZjDD6uv+W6mjsDd5adLAJLnXBiUfFz/3Waj3yh6cCtKl63GK818SQEgkqwyyVYu7LUr2cNClFh7yqgxeRqPZHg+YawPaa/x744ka7PdxpzKfosKSIyRh+boUJWn5Knu3GNAyZzV4wkzcsK8r/R5LdMltJHEyfgEfP21w3RCn7+t6c5sehTeOMFyFkX5KJSM171xm2lhrzoDqrWmOenQ+SvbXEzS5PlYgzE1tJuN7h8756v7Nq5/d+urHYvOr9y8gueP8UjD/z/2vvSMDmu8tz3nFNLb7NLo12jZaTR2DImtrzJSwxeMGAIMSbmcoEQQiA4yTWQ6xAnlzy+Zod7AZPELGEJITfEYBMHE8DgBYyx8b5gG1v7gtYZzT69VNU5Jz/OUqeqe6SRLVmyc8/ztLqnurrVXf3WV+/3fttPJzlKGxjzeOALhIGwM949lnJnL+M4tgA3O3xwM2asttqugJ6AeRx7xxj++oZ2BW4zW9BY7Zz1plRdUVtRkybr7fBdl45QZEP1QAr2jO5N0oima83zDmcrcM8E+GZr7obzSYtbrpQtF7ZPNXOa6uPSnRaRdTy5djwTrkaEX35BDR++cgLzu2KAJ1nH0zqfzY5n5OjkxvnkbmhfNjui6d9IHVWuNO+YqzYRjRiIEiAMfN7dWdrww9vumOzuaj+0BTcHWSSTVy6Yx06rTvKXK8+W2stjPofbdTApFRlLTokDeiY0TcjVUlraoqkIETZCyVgCyji4J/GVW8u46cca3NTNL3FBTkGNamKkPtJKNcnmnLRsEmocPDhW3QVuRk1xAT8zgJtNt7PJopnoP0gmu9DNO7EJWcLUIRBr1U2Ek+jKHEFMUoGqhDR83JSEEUH1eaoq3U0VDiFM8XRIeOB408VVbNjm4ZNfZ0hc9BzEkgtbGEHS9m4ZipLWdTJtLCSk0yYuvVddstQxMMpLQxR/dWB06so53W0tDzNttfHU01+B+T1jfMmSRbK7o4FCwB2nUFMTlt67Mp/pUeJabLcSZyZwW7XEgluDnXEQX+In9xVx409KaDADZAfkNMe7qUqkstY7R02a+5vkVA2SAzRBzsls/bfFtnQVhUOvZm6dt+CkBbizHWczvVNEblKbkQ3dPJVcLxUlJbJMpFPlrXjgwgPnDAEHrrioigvOqoJwfkhLHkugIbIRT2ORzeOkleXWY7o5d+RCmc11qUfAeN1D3/KVctu+iL/6kgtbHltvpoM+f8l5ELx2Ixq/Wh1F0+V6w4NqdJ7mfHtUOu3UspybkhloCZG2nbECs+NQUhfcinNTX+L79xbxF5/vwK+3FVTBsBupzFATAk87lf4MeSZ2RIpbteNY5YwWjtbc2/Lv3L05IzIBjhl4Sppzkr6p7RHuGnmHg9txg8bxzJ0EVmGRyPBvmGim5uLCWm0jJxJAaqtu301ZdMWLFS8HB9Yuj/GZq8ZxNQV+8IuSMq0zWHIQhoQqSy6dmkypVRMJ7UAAujutajdhLLn6NKqJjzUgykdGIwGKnXOmL7nojBvbygV86P2tccwww/rwR6/HBZec+8i+iZ4/3Lh5b4fPAvUCd4owS5tfZkFuLPbMZWc2aGPbPHDnPgX39+4p4pq/68DT20I9WsTQEd+x3h5AFbhVhY5u/0CNBXcSq4yzSdP8E+ZWIZn7jMZt9nUrblL92+jYrg5uJq0ZJ9WNbOZTcWe8p/oky11d0iuIm7rrRCQzKpDRvV0/gaQAzgeonBPbXpE04AgUvZjXk+Dk1TF27mPYsI1leZrdP321BAF33kfdtfZaZIs3Mm/PqGoKG/oUC+cmeOtla/fyePht55x+ZjwTjme04ADgl09BJCfxm6EtYKSGrjaAEAFqwO22UDOgJSkXdzk5cWhJas1FFthERSg9loB4Et/7RRF/9fcdeGpLmAZyLDVJI5UmSzCgpmmmkwabS/O1j2HAJLPUxAJs5jGI2R8+81u2WIemKk0qChzrTbLWW2grnG2Ur2hJNlKa7iskQAR0H0IKKYVjxQUIqK5RkIrmmUKGDPTSxzySWLs8wcf+ZAISwH/8oqSeMObSWnIJ6EZvXFA0qPERlLX2iM6IBNIBs1RfjQjsVQpQU5olAxgjqJQIXj7QjYvWD6K9vTX3nhXAV/XNb+zeVfvjNf2Lv1Of2FCm2lr7uTEhxpF0k6cyNIUYBzPPwbkGuelApRQTeBI/+KW23FtDTUtycmCmgEHRkiCnmLjJVFZByed1IAVxPqCTcSQzgG+2cOmJYCzUYagoMrtjKgk6NMSVCvUwquzzZn68khCFTjcVRINbV8VbyVASEF1DRjR3IJLaxKdM1Ik4oDXOQgNYuyzGJ/90AkIAP7yvBBsZy4A8/V5cUDSIqm0WxrmkKklMEoATYgfLMu04e/pEVlFLkwMuUKgsmR6ZKP5x9/y+xnMGuIcp0b9y2YPd7XTigZ9vKhfDOsIwQehzNW+SpNza5IkTF9wW+Dw9ARyrnaUmSi0Bk/jRLwu4+voO/HprmOvd7eWstwJaQJ2uVNQdOeI6l2lAx23mky/eyFjvnNW2wCXpY/fe7tP0YGaguxVZFsQkl1FIkHNCc3WZAIhONyUg0LEcq5er54mtlDG6UOpDGIXFfFZpkWmpjgnUuF8mAk5YFuPTV01AguAnvyyCm+CMvQroE0RbcwGKyHBxnazlqfMNjJqcdXVFZtqP4DpdFlD7lAo+zjzr7Im585c++JtdY83hS2fRgz3Z2TUHlUr7sEejywcGBuK20jQqxQaKYYSCHyMIYvimNTF1CoFtE0y3WEE7kszN5c6CWzLgzocL+MDnOvHr7S643TZraWUOIcSC2yglnrHYTsTS7XfiyoJNgR5krXfGyufoickDd/PBZ14HJyl5xdCC24Lczf9OnzPqCexzxOaTu3p4tsWbec7JGzeVQKbyR+vhRivnugrI/u0kaPEGw+DSGJ993zjOX1cDEzxT6pZJ0LJJWkAsVQlcXQCRrhCKBEEslOISCaDBCWqxuk1HBBN1iv3jHCeedFI8XY0v72hvH+51cr9brYNacOYFmJ7YjJ55fbvKxbEtE8E9A4JPQspm3zTNnxa6hYEEI8aypzq3oinZahzKBOABtz8Q4n2f6cSG7aGjlrgVOSktcYsXfJofFpWG5Vk+mOOAPA9ea71bAN2lJ62IaQr6w1g5apK+k0zBTbK75xUVG5YnaS2jqU4XukiC2PwVQGp6YK03JalVp9SebUQ4/ymFVjtky6+ACFi9JMbf/c9xXPUZ4I4HitqplE6IXr9W54ZLUCRa+REE8IlqsM+c3yB7WAiSWKC7sxOr1wxuWd2/bNevfr0dLzth2UEP8UEtOKBynJOJ728P2PQftfX0oxCOolysoRA0EPoRfE9bcS9tn8ZIyrcZcYoUdNGCDeLoxCn4wB0PFhS4d4SQswC3R1Nq4hlw24xAl3c3d6nK5E43pcU2a9xWGMyDPvu0xefsFXAHKE4gJ582m3Em0UoXd/dpjnCaOsf81GSbNmustpNaK9zIpq0KYno/p65TeOrviGH14hife/8YXrGuqmo741YW3KkQEoqSRNqaN3Sv8pogmBYEU5xgIiEYS4CRhsR0fQpnr1uBoWryR397073bGWOHPK7eoXYoVpajWp1CsVjes3sk+Hlj+pFzl88dhZQBGjFFkjBwyfRlU3cldbk4FTb0TnK0xAs5dhyguO/xIq79chs2bJ8FuHWNaEhSapIBt9XpW0Urc9bb3YYc90azguKCGA4tsTzVBblr5Q+Jbr2/w79Th1KmgU1nm0nWcK04oLm4q4frDlcQIu07IpwkPUpgGnwr55OC6EGzmQ+oJRLibMl9BSAGBvoSXP+BcVz7ZYn7Hy9gx4EACPQHcttMWGLGtDVXgRxzHIwSpErnJRBHOPWEAG977fKfX3TeuXsajWkUCpVDHtpDWnAAKJUq2LLpnk2Szvt8R/d6jE9F2D9WBZd1eJ4KzBC3DQTNyX8230SluzKiwL1hF8N1N3Tgf3y6A8+2stykheUmTvornYmW5HJONBZd652vqGlJSTI826EvQJay6J/ePC/tFhffWaS7eSbuz+1Khq6CYly/DE1BzoojteApvzZV6um2lKO7uStuRJNmIp08E+GkTsSzhSVvMKxZmuBvrx7Dh/5kHKsWNVQ407XiIk6tueQwvSPcCnopJMBjlLwpLOk6gGIwjbPWnY65Pb2fv/PeX26aDbiBWVhws1YsXw6w7gcxve+WL39nzxu+9f1N+NDbJ3DaIAcXTDdogbbeQuveqXPpgtwrcGza7eG6L3Xg5p+UUJfMCeLkMwM9yyOYQ0vSSCXSScQkm+vdPJk4jWA2A5rkgHuQ+zzXbqmizJKmSCf1xP07v5tLU4ijhRM3dK+bWZroJZztjmxHpMrGE4RYU86IUsThlrxTk+hiFBbpfuymR+ovAsTAvC6Ot766itCX+N83dGDz7gAI9f6ZrrPmlUy7H85x4xynrpnAB988gs1Dp6LQNXjLvN7BB6k3NlvYzh7gxFuM+vSG7WF5/VWPb97Kdh+QrzswvhlRnIBz5oBbWh6uquHdggUOL1CVONd+sR0331FCnTDdr7tVwUIKbr8FuA01yfBsJypp6Qd1LPdBaErzLeUgWZricHLkLPXh0hP3LVvo4QbAbgKXlGmCUtaSp1mHUkhIplpPQOvIirpIS2fSDlTQLRtMJIbqM4KkQBfZiz0D0uhkiy8q6wShz3H5K2uAAK79Uge27PEBP+ts2vEPFuREH0MC4vloLxUxuLgPg/2Lbq22n3bV2PjOHSevWTHrw3polu6sj3zsb/Hq1/zu+Ckn9J00MG/03PntYyiFzI5lptp6N9MUNR/HKwhs2+/hb25ox023l9Egek4O8VtY7RTcHtUNMluA2ziVtkmmBlgW+HrQbJ6a5AqISd7i66Jf5pSNZfYnsIXBxBYaKzCZsL0J2Wf/PtSJlVKq7FWDzHDVIS2vMnBzaWCc37R41/oOeh+ZPtvsLJv3y5GudA5EFuSEqHMloBJr+hPM7eZ45GkP4+NOTjKc/xzG41epzmUm0RlQ+AlDoTiI/oELvivqu7974uDaw4Hs7C24WWv6F6BUWfzJnsKvV4zun3PFVG0/2qiAR7n6ukT5+JSkOSaMccQQuP+JEF/4bgXfub2EiDBdieM252FN4GaOQ5kBt8O73TxvC2RjoekMjx0r3QQqx3q7wRxrmO02krnPyIfOj56qMWplgjt2o7OP62zCsc4kd+9abziW3aErxtkU5hIhYdNoTaMdqp1OStNAkGiy3ELTCv0iov1GkbkQOF9SHcwkAXwvwe9dUAWExA03V/DoswU0bNsI7eQaaqUd/gIFOnyOzo5u1Gnfjf2rT/7khk27Dheus3My3dXZswST+28ZX7ZswTsnqp33SOnD95SWnU38kSqw4yWoQeIff1DGG67uxo0/ccvMZgdun7oh+JRfM5eizJRzYqKVrcANtLScea6dDdvngJ/FdKufelbLBXqzXEiyzmYG2MTep86k2yLNOJbIpMxmKu5l9jG37d5o2kzIPiaObJg6nklOQlRptgxcqPZwPie44sIavvfpEfz+a6dQJomTbqsaCplTmkugzoEgYFg6r3DP/MV977z+6z8aH1i9+OgDHAB6lvwuxqfbqieve1U0Wmd4dFMVHotsJE01u1cTFmqQ+MatZVzzhQ4MTQSIWzSib0VLrOXWmYG+BrRtI5cBt9OhKgP0mRtpGqrhgrnJelsgk6ZLuoVy81X8sHGeRiMNplOXLtM6OK93A00cXKjMpVyljwtyOEDN54c7INcngdXHHZC7wDaNPaXtlpWtCBKCQUgfCfdAOcWcNo6Pv3cCb3/dpAJ5pLVy+80JmIhxcv8B9Pf7eONll0bzu4Pq+/7w1c8FqodPUczq7F0GIcQDG0bOPevHd95ZPGHpKHzPRyGsgTEB34+xaT/B9+4u4+Nfa8fYlJmP4yZO5foHHgrcLi05FLgzenhrcGf6n8C10g6PzVlyC3xHK3Gx3ITrgwBdyvQ9W++gXm9BTHKvcamJ3llV8xh2QRSzoNJxPnXiFUg26891PNVGgAowobpYpUSktdPpUi4Cddy5yfkG15SLQMYcXSWBD797AgVf4ta7K9g0RAAiQBhB2QPavBh//oYEKwdPqJW7Vzxg5nm+oAAnZA72DDf++qLzXy8xPf7+Z7b+qrByyTTKxSrCIMIDzzBc+9V2/OzxIhqJp8FN4Q5/SnNMdKn2oSz34YC7hc7tWuhMFyn3OWS1bppzq0j6MKOWZHh23qrPZhlkSOcxsoC2/Bspr6am4t68jW7OCRBQM5VanwBCUxzaBPKUV2cq5ptAbj4omkHu8HntjYE67yWIni9EKWTM0Vnk+Nh7JnDx+gau/UoX7n86APUlukOBld0Uo9Pr66sHXv+5QsH/X4SUnzPAD0tFya//+6mPyMsuPf/nPZ0hKwaNszpK+1h3xyQe2iDxwS924a6H28BJAPhOcQJ1ixbSOkpoZaIwk+U+HFriFi6QFkCmZIaCA6cYgaYnQ+b5fMYhTdUREw3NKyhZZ5bkTrb05KDEnufNCV4ZZzi9eoA42kjOEXb3BSHO1cJtg5Y7G1tdgkiqmJDcdvekd18qARUZhSliUDebxCUYPEawagnHwOIIz24n2LGvgKLvYd3ggmjF0r5P7t09/OGBNScmeB7rOVtwsxbOmYg4ej9RopVofIxf9+kbfXrLvXPx2KYyUHSOeAs5yBQrQJ/truU+uEPplp/BAXpzlDITjiep9NcqhN8clictAONggeTwkHltK7C0WHlrnVNTpP5/3ICQLcSF2t8afZeq6PmZKq1J5Vyb45xa+BZ0xSRXzdKSE5oL61MJSKosuZbVqT6Akqg+LUJn0yQJQCKJ0wYkPvtnk/jO3Qlue2SZCNt7r+vu7P7Mlt1j0fPF53Nz+XNr28Zvorc7PPEH9+x5/A+ufYwlvALiUdSFhBDaOzbekslwcgBvuk9lFBOaFgxTO4mhGdxNkxlmpCakSUnJpsmm2rZLZVo9zp4kxLkqmPcw+rlTomauGhltHU0npPkM7uCA9HNnT+BMPjtkdnSjft5sy+6f1qnafu92P7cNtsxO66BphmhaduhO6pBO9Frq/CMV8HPby6mzUjnBCWfg3IfHJGpxFffvfC3fNz1wcsimn3r3m9/4vLH5vC04ANQxgGJ328agvOjKd/9uxxfuvudhOlIV2FVjqIM6psk5p/TlLW2t5oDaoSWHBLf5YQwwZqIeM3Lu/OU/y8WtJTAXH5L5Ftk/SG7/2a4WnNto2sR53iSzGWtO4Cgw6kW2kFfJzERl7FGHYOim8tCOJ7XdppDh4KrBhGg2gYSCQSidHEAad9fW3OraKsxPJYHUBN3Ns1HflSBOAoxOlDFZLWLRslPE+acNXLlluG9jd3H4SEDzyAB8zarT8cgTG6PXXbD+q3u2by956+Z+9qFndmF4J0U98VOLnV8aaBlQE2SkQBfcLiXJV+rkwU1y4M6rKPnooBs1tPyyBS2xXNbh00dzuSmzBKmTSaRRKMy/agkARBCtnOhPrUFOtaNJHHVFIH3MQTJT0YiJurg1MwTpDhmQu+451ZmLElJSSKgSO/f7AKq3pUQDG3e2o86XQ5a6/3z94Plf9YJNvHvu6Ufk+D13/SW3TnnZKuzdt5+/8Q2Xbn7L5b89ec3vE/zWyhFASBSZKs7Jg4EQdYblJUBKDg7u1Jl0B19lrbOpgs87mjOCO3+DA2ziWHPXAs1wLGYD+lbJVLNaDuduykR0c8NNJiF0gMe2LHYeC6KnJ2id3AZ61M1mF7rVPtKp+mmROy6dOUFmKoX7nYWgSBIPSeKDAHjo2QT/dEc35ixaP3nq6ZdsHhnez7vnrjpSsDwyFtysUrGI9vaRW3u6T/6T+6IDn4v4z7rnhAkKPkEtIZiQBLHzhc0VkSErAbq1lC0tN23WuLNAdvlyCtimED2QjuPOb29yOJv/Ptorr5PbUIiUltVk7Le5+kiZWnLdDUpY+2oyTiSkSKU8VSOpHFJoCqM6wVrOkhYkW6tO7GXF9D5U/Ipoh5c4+NbOr6RIEh9R4qFWZ+hbGOJP33HOyIqV69736IaJW9eufO6SYKt1RAHe0aF6w23cMf7Nxcsu8d7xO5VP/tv3fzp32+5x1eeuRlRYlkEhT2Z7hBhgmz4mbusHl28zx/FyH7dSSWaiJO52IAvuZmkkB3RkLTzMe+K5nwCGTxvFJJOXkttkXuAafaOm2C+jLwkusIlUJ78g0jrVwrRwc7mYk1SY6uQK3faSb/NSLNtXm4lJ4SXOeaeaPXlMXTnqjQKmawFisRCL+18x9FvLzv4gUP3miiULjiQcARxhgJu1amkHqlPjX3/HG8+iz+7c//E9Q7+cu6SS4JQTJ/DkZmDbUAnwQ5jpC4aS2HIzA2SaBXd+jnxGDqSp5XZTZVPL3cKRNL8pIc5j9/lDAzfz3Ez7tNouW+/vBnO0nbVvba22S7rNftohTamOei2BAr+Za2Pel+q8bEKI7vtnsmW182m8W2IKLSgkEdkC6RzIQdTQKELNdDhdr08FCkGM3wxxPLbJx4LOIgohwcK+/qFKzwXXTEyKr3e0dx4NKD6/QM/B1kc/9gnUes56FMwfWtQWnffyvoniB67Yh/m947jz4QISEYAwhoBKFKguHGZSN8zU/HsmcFMnuEOV1WaEtAS+4uFkBjpDbNCnlRbuBk/yGYatgjet72d67rndrHPrfA4DaPfkUYpFSkpMiRvgbDNBGALrBMK+zj1RzLs71y6ZnbSQDUoZZUt1VQiDBFzU8dF/LOFLt86FjzIWL+obWd3fdrUvf/X1StcZRwuGR8eCm/V/PvB6/Mu3vv1P3pKl0eJO+UWPbG8bnzTVJSat1tCONKfbcwBsy89onoenfJvZx+49yfBvF5QWpGjm2Ol9Cm7XfL6AFHzGlQ/fm89nI42ar5iniDQghp5kBktJiI4sqT6Eej8qdQdY9ZjmJjoorqIjOTRj01UgR+iQvMOzGAPa24CpBsNYtHRyKln6Z/c96v/rhZc8f637YOuoAhwAzjwpFoWw/cbpWmdy/xOrvvH5f95biHho/2cjC6qbtFPPXH07w7kzgRxHJckEcZxEKswMbvMYTY8PUhd/PCBcL2tZZZa2uCF16cCMQqkr6phIXaiiW6YRoiiKzqWCg+mMP0DNu1KY3hKWwthjrWZZeuYKIgkY9fGnl0+hY25PvdaY+65teys31+PpgzbtORLriMmEM60Va/87Ht68jfef2Lh5w9DAW1eseXm9EAoELAJ0HwxLT5juCqvHFHo0G9RhTdQDWZlQ0xHmWHvbKFODPjPlwUYd06GtNsAzk7WerZz3Aq5cRq2TFuvKgUb6y2+HIwsCnKcyobtdNEmI6j7hNL0lDHHCwBOdNqu7ESc8wcgEQbl8av31585/6yQt3bx48Q5+zVVXHPVjc9Q4uLu+9c8/xGjpXfJT//a2Z/7y8g3PnnNC9bXD+/f7u4dLaC9QVHyJ0FdauZrk5tARB8QuuLMjDJEFtgG9y7+poS0poKnDhzMZgTnFJOXhLwAHN2k6s+XjhwC+GyhKCyRSCc8mQhFDGjOpXI4SQuBuhn2tm59uOm0pyuMxjo5KDU9ui/HYb84BZy/7g3Vn1L69bgHEaWe+54WA3gsDcAC4//Zv446vLMWbr9zy9MWXLN860fAv3DdaLYQg6CxIFAOJwFftcb0WDmEG3CRruZkDbpYDNqPI5YkcGixZF8vdkHdIDY89wk4m0kt9/jma295q2fRZjXC3vC3TckKDXb2GOFlc2SPR9JdzPCSQWnZO7SQQQoDQj1GPOeD3Da8+8fd3LV5x4Temqqfs6F14ZKKUs1kvOKP80Of+Ade9q4Yde+nbb74r/MwtP9zWI6ojKBepdRbTeeXpj224ddP0YQLHycwWBpM8GFssqX/1/I/v0s48j3cfpzJlc7KVnYtJnX0dnd5N7soEppwIbpPcqZOl8g6y+32MpbZqCtJQvzXERGsozv+bSbqi0H3djWSbDh0zkWTzOdyqIAI19SPwGpjfW0SVrjzwsyfLH7j6Pe/8p4mGJCKB7Cy/cLA7Zi7T/v1j8H3vnT+6/Ref+MFtd82dnJxA4DMIKRHFatAQ1z2qTaN5lufbzA0AkYyykgcjzZvnXO2jGcXnFg9kDpRDU2bKFTdXjecL8NR/yM4NOpT1blXOJrIihz0GWcPhZmK66Q/SDsnNTqo2E60BEAkuKKKYohFTNeENHJW2Ck542XlDS1ee9ZdCJF8LC13HBGdHXUWZafX2dqJanf7a71x6LikVycdvv+Oncxu1KSScYXQqQT3WiUFaHchP/021cC0TUoARFzzNIM8vC2rhXNL1fSZKCCcvWzfTyVKX9P0OWYY2w9JF6C1NjrXWeVqVewOD5bTgOG34Y78fSS05JUYZ1H6KVP261ckhAWr0chMe0gGhTJMnFeJPOMHYBMN0jWNOTyfWrj5vaNGy9dckXH6tWDx4k/qjuY4ZwAGgVCpjYmL6q+eefUbSUQk/+8xT93YNDe/F5oeUDktMwhVzLI5xKJkCdNM4bSeIoyiLM4cGrn4sbRYvh5ouRogGh/s8cavJUlRJAp0Tkk5WeC7Ablq5CKelR8hSCkMxjL5tnUN9Zroz4d0hV9ZpJmnqCDV1nFQ1oJca6FmRUdrjQ/XRMAMRQgL4XoSHnglRqczD4EnnjK4aePnVjPJv+OGRzS053HVMAQ4A7e1lcJ588/TTThkpe7tXHpjs/tT/u/NRn0mGcoGgFChtPL1ME+tIGgtOLdjdGTkORdAocQFora0w9Y1S0xVpu7ECLdJCNLBUvvbR5XiZq8QMjqZ5Tkhp2yKb6nrOU1nQBbi5GhhaJPWxUcAGqFStjKVUgAfSE0IQVQVEiJrXVAgThH4ELhL0n3BqXK9V/mL1mpdvJqz4H37oH0topcfweFiNqYcRlDuCTc/uesft92694Rv//gQZOxDR3g6JUgiEPlH6OEvvmVVKsuBOLXmWpoC4ARwJIVRAIuEScSwQxxIxV5MSTI8/9/WUmCqd1MF1ebfdZp3d2XNw4jrLuVycTNDLVO04ziZgHD0gTgiimCBKVNMdM5ov86OT7P9r+Lfb/s5KtHrgr6clXJ9JeJ5AIeAoFRJ0d0wj4kTU2NlSFtdeWQ1W/6Of7I8uPH3wWEMKwHFgwc0KK6di+sCTUf/yxd+Ukv/0V1uiN23btu8jo0O74BeZDt+ngGaUgDHjeBILKuY8dqeauSA1nEJICcoFpBSIofr4cSHVfEZTPE5M7nnquBHihMiB5sSpI2E2WtEUY7mpU3+qK6WEBDhRVlsCSLiaBJxw2CsTSFZZyuTJ62golQCTOqopJZie60eIatjJCQCuTqJCkCAsLkCl2PM3G4dXfafNX7qzLTkQnXOcgBs4jgAOAOWetQBQu+76727oHzz5E3M7NgXjI+W/Hhvexer1hpo5A8W/PY/AYyTjTLKMVc2O7DMSo/sDS0nAhQoFNCKBmEtEsUSiLR6BsmLSZPVRlYtNzEQFk7R0BABtHVmzQYfFbX4MXEsvrYRngA4oR09KiVpEEcdAvaGuTmYpVYakPgrNAtwCXbd/UNMfUj/DY4rG1epA5BWwYNEyXmjr/Gjfss5PlCs7+fyV5x9rCDWtFyzQczjrrh/diFdd9Gr5V1dd8dNbbv6XQqUwPW/f0FhpbDLxGZEohgyFgML3qENJFMA9j4Ixaq27oS+eHm3v636fgZ/eKCUYn+IYmeCoNZTVE9L5QEZpMBaQpiBJtfBmHfxQgZ68KpK11E7Wo9X+VdISo2ZeKeB7Er4vEXgCoS/gMYnpGsHQqMR0nSNJBDiXqQSa08ZN5Y9Ns3VOVjORWEgCRiQCX6BclBCsAx3zzmicuf51n+5dvP5Df/C2y+Ti1W851rBpuY4bDt5qjU9MgjFGf/7THxIazvv7G//trrVFv36GiCa9tkoAz2OIIokk4aCMwPcoPC+15Bm9V4PE1z2IPCbhexKBL1EIEjyysYq7HmOAoCh6EoE+EXxG9Gv0SULNlQP6JHKUnMMM9GRA7EqgDhdW/6ceZOtpPqy5sO8LBXCPI/AECkGCRCa465EATzwTIPSBwFef1xwXz6MZnwVwPxvge+r7MqomkDQidbUoBRx9izuSRfNx35LVl4qwsuK+iWl+zZLeEKXy7JrRH4t1XFGU/OpQQz4FANz03Vv/+HUXr2ur16a/PDy06/eS+hAthxPYNSyxd8hDqcjAGLHOKACrhhCisxW1xQs8IAwECoFAucixYuEkEIzi5vu70aiW0FsRKNuyMGmdR0HVJS9PS9LJweYvJ3cDmLG4wWj87vu5BQ/mbzjPm0nLZuJ04HOEPkexEKO7vYqpxiQe2NyBTTu6sGKeRLmgJgMHQhkAQtLiBNt5VipO5jECQhgCHygVJXYPR9i+O8bC3jYsXrxELFiy5KZKW/nd+/bsnTzj7FOONTxmtY5rgLvr8steh+3bt08GQfhnw0N7N43seXTtdH3HG37x5EbUqp0olxgCn6BUAAJPgguCRqQamBrwMZ2xGPopuNvLEYIgwuDiKlYu9HDf00UUI6pmf2odngtlRe0YP2Q5sZsK0IxjmesIpV/fKlDjgjyTQ2JmH6W6taIrAj4TCIMEpUIDpUIVT+2I8OxvGBoJxWQtgUqHVaPXbF8UKsH0aci5QCPmEEJayiclRXsxBu8ZhghXoad90S2nn3Hqk4sWLby+VqtPLlmy9FjDYdbrRQNwAOjr6wOAYSk2fwgnXdJ3+70bsXz10jfs3/EsCBooBhQdZYn2iprFuGW3h3qkrLpPDEVRnFWBnKMQJgA4BpfFGFxexc+e5KhGPkoeQcBUuoAUMq0xtNq3Qls258VGZJxlUJs+bPU04PQ4gbGsurQsH1klTujcE/A9jkKQgLEIz2wj2LA9wJK5QC0iCD2pFSe1v6cvQZSq4zItgL0jAgQCbSUBO2KbVnDRb6+B19Z/y67J0983Jca2z5nTe6whcNjrRQVwswhdiV9vHdu+bOkpV3vo+KZ/1pqr9uzafN7UyAZ0FA9gbncd9z0j8NCGDizpZvAqnnISmbHiir+aseSM6Vh9IiAFR0P4SLR+LHLgApodQCtTOpYcMOFx2ZzoRdL3McEcq+TJ7PNur283RVBdQaTtJuUxrgaCeeqFsQBiThBziYQDCZfgXF3ZJNTJ3lYiGFxWR53U8NBTBXRVOVb1dWLwxBNx0trVd3fNCa5fsGjpE6sxvZ2Qw+/NfTysFyXAAWBweScAbJJSbgLw5MMP8gXta/u/JOuP948O385uvCtAkXDMb9eDqWnqWHqeUJX7TA+thZl3IwApdN/sbN8RwEnaMqoJJWlqrhMpTVNTTasEPQrQMdeucuK+Js/BCVQVvE2ccvK3QRTdUDfTIk29o+qHYpQQiSQhiKn6/lKoQE7gA71dHG96xRDufWYBfmvdGfziswc2eUy856STT98DYMNMWZgvlvWiBbhZ+gfYMDU5ukFK/iqWiEVB18k39a+4pz1sDJd9L1LOJUulNN/T/fey72Qf2Wp0faPIynhGLUkDTmquDKAAyrXZVWBVtY42acymHKQc3iZHiZSmUJO2S3T5oyDwZJroZLIG07MwF2mS6TcSQikiNJHwYoHAJ4gTiWpdYLLehXUDc6e//JFLJ3buZZcPrlmyy/PY9hc7sM160QPcrEpbF6Tk24GzdgZ8/MT3viU8sxLiH36zY0sytG9rN48OtBXDGOVSpFuYMSQinVoAwIrTLAdAe6Op7Ed1JNUz0iQxEUQdDRVpshZMba5h745sSYyaoSkR51JnFhJ4wgSb0oGv6YmQ7VBlJjqYkBFz/g9KgHok0IgBShnKoGjv6J5cu3ZgZM3ASi9oi//otPnLfnnKyT3j4EJ43nEZHnlO66jXZL6QixAGQohgvDp64qpFt3V1tq++5ZZ/X3nJa9740dWDpz7V2zvnsbBI6sOTISanKWp1iihSADH5JaBUS4rSBlOMru5acKUpEwQ+QSEgKIRAMVQRVimAJJGIYoE4ERb0hl4zK1kCgS/VoDmiXlNvcNTrHI2II0ok4gRIhFsEomsjOUEsKDjXN0HUuBCurDclEj4TCDyJog/0LwvROadU75k777H1Z53+1H978xUf/dEPv7cyLLav9sJltw0N81GPkJcUuIGXkAV31/z5CwFFQ6t7du8EY96nKGWf8rsWM0n7b/Aa/uqKt/ec+vQe1kjGQGkVw2MxhsaLAPEQUolAz6YNPKLmZZEsf2aMwGcUoU9QLKiaUkaBQgOYmOSYqnIQIsEYReALUEIhPeVwMq3Hh74K3hCoBK89Qxz1KAElBEGgSr8YpRCcZCKrQhDECQGlFJHHEHOGOPEgpIfOSh3lQg0URXSUfSxdUMTypQv4xecvuGc08jcMDVevlHXGC4UCPnjNdbKvb2n1WP9eR3O9JAHurgULlwApU02mp8fffeZpQdfIyMjHHrr/rgBkI+/sKp7y9PaOU5/Y3ABvJEBBASv0gGKogMSFCXcTa8EDn6AYSlSKEpUiR0clQSOZxiMbPQyPeqgUCAqBCqwwliZqMaocvGJBoBhyVIoJPL+Bu58giBs+Okoq0EKggi+Jr+gH0aVjhABxwpBwNfAv8AkaEUccC6w/uYg3v2YRNmztfnhRT/WRM9etYK+66JVRd1f3XzWiaLS7u/NY/yQv6HrJAzy/yuUOABgF8F4AiEa+D88j581Lqhdf9hpy+YXj0YCMqti6eQM6ihzlMEEhiLFzf4KJmocez6gyKqRdCIG2EkdXW4TliyZx79OjeHjbHITSxzzNmylVIJSSghDl8IaBQKnA0VZKMLezhvm9B/DjJwLc/9g89M9LIKHA7fsCRaEijx4DyoUY41MRtu/x0V4J4fWWIEmItjkvQ1Bh6GXBs686b85Na0/o/jGj4u53ve23j/UhP6brvxzA8yvovhQA7t6zb/Tu916BnzeiZOXe/QfEl762W5ywsnf5Cat6/zJpbMGT2yQefPQApquj8ChHMZTwmK8jojF6OqpoL4/iqR0C20d8LCoTTDe0Tu0BhUSDnSjuXQwFyoUE5WKMUiFCV0eEgaUxbr03Rts4BSPCUqSGLyAKgOQc3Z1F0MpCbB31sHz1cpS8kU8wb8/W7gWvpIVyNwX8zb/zStwWFnuO9aE9LtZ/eYCbtWBeFwDcZv4eHTkAxsLOqYnd9w3ti1GliJcuOen9xUBcFHgEoQ8M7X4cPh1He0Wgp0vgzsd9/Md9PpJIou7HGJ6QqNVVfnnAGIoFgHOVAlAMGmgr1VEuRBAiAYTAm86LsHlfDfc/1gPClL5dae/EK84/De1lhkIoUS7Jn3ijo5+dP+75K/tPxPK+BXfX69FYx5w5x/oQHpfr/wN8htXV3QMAYwC+BwA7du4BCJ4Rgs+jBAIyQX1yI3g0jSDgCAKKTbt4vP60C69dF4lLfYg4EQQBk+gsAfO7KNorHtpKDJ1tAgvm1NBRacBjHHFM4FWEP7hcfn/5gsevffCpeT7zAOZJlEplDAwMolj0wRiox+i+3gXYes7ZR77V8EtxvTTU/ONkffFffwQCMm/33rEOGQtZ5xQelWgvSMzrpGgrMxRDlS8zv6eGtlIDhArUGx5KJZDuuZ3jUsp9rHzZsf4qL5n1n9RQJzV7B2lzAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDIxOjU2OjM0KzAwOjAweZHHRAAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QyMTo1NjozNCswMDowMAjMf/gAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 70310137
    {'hecke_orbit_code': 171136785873640378, 'n': 1, 'trace_an': 2}
  • id: 70310138
    {'hecke_orbit_code': 171136785873640378, 'n': 2, 'trace_an': -2}
  • id: 70310139
    {'hecke_orbit_code': 171136785873640378, 'n': 3, 'trace_an': 2}
  • id: 70310140
    {'hecke_orbit_code': 171136785873640378, 'n': 4, 'trace_an': 2}
  • id: 70310141
    {'hecke_orbit_code': 171136785873640378, 'n': 5, 'trace_an': -1}
  • id: 70310142
    {'hecke_orbit_code': 171136785873640378, 'n': 6, 'trace_an': -2}
  • id: 70310143
    {'hecke_orbit_code': 171136785873640378, 'n': 7, 'trace_an': -2}
  • id: 70310144
    {'hecke_orbit_code': 171136785873640378, 'n': 8, 'trace_an': -2}
  • id: 70310145
    {'hecke_orbit_code': 171136785873640378, 'n': 9, 'trace_an': 2}
  • id: 70310146
    {'hecke_orbit_code': 171136785873640378, 'n': 10, 'trace_an': 1}
  • id: 70310147
    {'hecke_orbit_code': 171136785873640378, 'n': 11, 'trace_an': 8}
  • id: 70310148
    {'hecke_orbit_code': 171136785873640378, 'n': 12, 'trace_an': 2}
  • id: 70310149
    {'hecke_orbit_code': 171136785873640378, 'n': 13, 'trace_an': 0}
  • id: 70310150
    {'hecke_orbit_code': 171136785873640378, 'n': 14, 'trace_an': 2}
  • id: 70310151
    {'hecke_orbit_code': 171136785873640378, 'n': 15, 'trace_an': -1}
  • id: 70310152
    {'hecke_orbit_code': 171136785873640378, 'n': 16, 'trace_an': 2}
  • id: 70310153
    {'hecke_orbit_code': 171136785873640378, 'n': 17, 'trace_an': 6}
  • id: 70310154
    {'hecke_orbit_code': 171136785873640378, 'n': 18, 'trace_an': -2}
  • id: 70310155
    {'hecke_orbit_code': 171136785873640378, 'n': 19, 'trace_an': 2}
  • id: 70310156
    {'hecke_orbit_code': 171136785873640378, 'n': 20, 'trace_an': -1}
  • id: 70310157
    {'hecke_orbit_code': 171136785873640378, 'n': 21, 'trace_an': -2}
  • id: 70310158
    {'hecke_orbit_code': 171136785873640378, 'n': 22, 'trace_an': -8}
  • id: 70310159
    {'hecke_orbit_code': 171136785873640378, 'n': 23, 'trace_an': -3}
  • id: 70310160
    {'hecke_orbit_code': 171136785873640378, 'n': 24, 'trace_an': -2}
  • id: 70310161
    {'hecke_orbit_code': 171136785873640378, 'n': 25, 'trace_an': 19}
  • id: 70310162
    {'hecke_orbit_code': 171136785873640378, 'n': 26, 'trace_an': 0}
  • id: 70310163
    {'hecke_orbit_code': 171136785873640378, 'n': 27, 'trace_an': 2}
  • id: 70310164
    {'hecke_orbit_code': 171136785873640378, 'n': 28, 'trace_an': -2}
  • id: 70310165
    {'hecke_orbit_code': 171136785873640378, 'n': 29, 'trace_an': 9}
  • id: 70310166
    {'hecke_orbit_code': 171136785873640378, 'n': 30, 'trace_an': 1}
  • id: 70310167
    {'hecke_orbit_code': 171136785873640378, 'n': 31, 'trace_an': -5}
  • id: 70310168
    {'hecke_orbit_code': 171136785873640378, 'n': 32, 'trace_an': -2}
  • id: 70310169
    {'hecke_orbit_code': 171136785873640378, 'n': 33, 'trace_an': 8}
  • id: 70310170
    {'hecke_orbit_code': 171136785873640378, 'n': 34, 'trace_an': -6}
  • id: 70310171
    {'hecke_orbit_code': 171136785873640378, 'n': 35, 'trace_an': 1}
  • id: 70310172
    {'hecke_orbit_code': 171136785873640378, 'n': 36, 'trace_an': 2}
  • id: 70310173
    {'hecke_orbit_code': 171136785873640378, 'n': 37, 'trace_an': 7}
  • id: 70310174
    {'hecke_orbit_code': 171136785873640378, 'n': 38, 'trace_an': -2}
  • id: 70310175
    {'hecke_orbit_code': 171136785873640378, 'n': 39, 'trace_an': 0}
  • id: 70310176
    {'hecke_orbit_code': 171136785873640378, 'n': 40, 'trace_an': 1}
  • id: 70310177
    {'hecke_orbit_code': 171136785873640378, 'n': 41, 'trace_an': -9}
  • id: 70310178
    {'hecke_orbit_code': 171136785873640378, 'n': 42, 'trace_an': 2}
  • id: 70310179
    {'hecke_orbit_code': 171136785873640378, 'n': 43, 'trace_an': -1}
  • id: 70310180
    {'hecke_orbit_code': 171136785873640378, 'n': 44, 'trace_an': 8}
  • id: 70310181
    {'hecke_orbit_code': 171136785873640378, 'n': 45, 'trace_an': -1}
  • id: 70310182
    {'hecke_orbit_code': 171136785873640378, 'n': 46, 'trace_an': 3}
  • id: 70310183
    {'hecke_orbit_code': 171136785873640378, 'n': 47, 'trace_an': -2}
  • id: 70310184
    {'hecke_orbit_code': 171136785873640378, 'n': 48, 'trace_an': 2}
  • id: 70310185
    {'hecke_orbit_code': 171136785873640378, 'n': 49, 'trace_an': 2}
  • id: 70310186
    {'hecke_orbit_code': 171136785873640378, 'n': 50, 'trace_an': -19}
  • id: 70310187
    {'hecke_orbit_code': 171136785873640378, 'n': 51, 'trace_an': 6}
  • id: 70310188
    {'hecke_orbit_code': 171136785873640378, 'n': 52, 'trace_an': 0}
  • id: 70310189
    {'hecke_orbit_code': 171136785873640378, 'n': 53, 'trace_an': 8}
  • id: 70310190
    {'hecke_orbit_code': 171136785873640378, 'n': 54, 'trace_an': -2}
  • id: 70310191
    {'hecke_orbit_code': 171136785873640378, 'n': 55, 'trace_an': -4}
  • id: 70310192
    {'hecke_orbit_code': 171136785873640378, 'n': 56, 'trace_an': 2}
  • id: 70310193
    {'hecke_orbit_code': 171136785873640378, 'n': 57, 'trace_an': 2}
  • id: 70310194
    {'hecke_orbit_code': 171136785873640378, 'n': 58, 'trace_an': -9}
  • id: 70310195
    {'hecke_orbit_code': 171136785873640378, 'n': 59, 'trace_an': 1}
  • id: 70310196
    {'hecke_orbit_code': 171136785873640378, 'n': 60, 'trace_an': -1}
  • id: 70310197
    {'hecke_orbit_code': 171136785873640378, 'n': 61, 'trace_an': -18}
  • id: 70310198
    {'hecke_orbit_code': 171136785873640378, 'n': 62, 'trace_an': 5}
  • id: 70310199
    {'hecke_orbit_code': 171136785873640378, 'n': 63, 'trace_an': -2}
  • id: 70310200
    {'hecke_orbit_code': 171136785873640378, 'n': 64, 'trace_an': 2}
  • id: 70310201
    {'hecke_orbit_code': 171136785873640378, 'n': 65, 'trace_an': 0}
  • id: 70310202
    {'hecke_orbit_code': 171136785873640378, 'n': 66, 'trace_an': -8}
  • id: 70310203
    {'hecke_orbit_code': 171136785873640378, 'n': 67, 'trace_an': 13}
  • id: 70310204
    {'hecke_orbit_code': 171136785873640378, 'n': 68, 'trace_an': 6}
  • id: 70310205
    {'hecke_orbit_code': 171136785873640378, 'n': 69, 'trace_an': -3}
  • id: 70310206
    {'hecke_orbit_code': 171136785873640378, 'n': 70, 'trace_an': -1}
  • id: 70310207
    {'hecke_orbit_code': 171136785873640378, 'n': 71, 'trace_an': -3}
  • id: 70310208
    {'hecke_orbit_code': 171136785873640378, 'n': 72, 'trace_an': -2}
  • id: 70310209
    {'hecke_orbit_code': 171136785873640378, 'n': 73, 'trace_an': -19}
  • id: 70310210
    {'hecke_orbit_code': 171136785873640378, 'n': 74, 'trace_an': -7}
  • id: 70310211
    {'hecke_orbit_code': 171136785873640378, 'n': 75, 'trace_an': 19}
  • id: 70310212
    {'hecke_orbit_code': 171136785873640378, 'n': 76, 'trace_an': 2}
  • id: 70310213
    {'hecke_orbit_code': 171136785873640378, 'n': 77, 'trace_an': -8}
  • id: 70310214
    {'hecke_orbit_code': 171136785873640378, 'n': 78, 'trace_an': 0}
  • id: 70310215
    {'hecke_orbit_code': 171136785873640378, 'n': 79, 'trace_an': -16}
  • id: 70310216
    {'hecke_orbit_code': 171136785873640378, 'n': 80, 'trace_an': -1}
  • id: 70310217
    {'hecke_orbit_code': 171136785873640378, 'n': 81, 'trace_an': 2}
  • id: 70310218
    {'hecke_orbit_code': 171136785873640378, 'n': 82, 'trace_an': 9}
  • id: 70310219
    {'hecke_orbit_code': 171136785873640378, 'n': 83, 'trace_an': 1}
  • id: 70310220
    {'hecke_orbit_code': 171136785873640378, 'n': 84, 'trace_an': -2}
  • id: 70310221
    {'hecke_orbit_code': 171136785873640378, 'n': 85, 'trace_an': -3}
  • id: 70310222
    {'hecke_orbit_code': 171136785873640378, 'n': 86, 'trace_an': 1}
  • id: 70310223
    {'hecke_orbit_code': 171136785873640378, 'n': 87, 'trace_an': 9}
  • id: 70310224
    {'hecke_orbit_code': 171136785873640378, 'n': 88, 'trace_an': -8}
  • id: 70310225
    {'hecke_orbit_code': 171136785873640378, 'n': 89, 'trace_an': -9}
  • id: 70310226
    {'hecke_orbit_code': 171136785873640378, 'n': 90, 'trace_an': 1}
  • id: 70310227
    {'hecke_orbit_code': 171136785873640378, 'n': 91, 'trace_an': 0}
  • id: 70310228
    {'hecke_orbit_code': 171136785873640378, 'n': 92, 'trace_an': -3}
  • id: 70310229
    {'hecke_orbit_code': 171136785873640378, 'n': 93, 'trace_an': -5}
  • id: 70310230
    {'hecke_orbit_code': 171136785873640378, 'n': 94, 'trace_an': 2}
  • id: 70310231
    {'hecke_orbit_code': 171136785873640378, 'n': 95, 'trace_an': 56}
  • id: 70310232
    {'hecke_orbit_code': 171136785873640378, 'n': 96, 'trace_an': -2}
  • id: 70310233
    {'hecke_orbit_code': 171136785873640378, 'n': 97, 'trace_an': -14}
  • id: 70310234
    {'hecke_orbit_code': 171136785873640378, 'n': 98, 'trace_an': -2}
  • id: 70310235
    {'hecke_orbit_code': 171136785873640378, 'n': 99, 'trace_an': 8}
  • id: 70310236
    {'hecke_orbit_code': 171136785873640378, 'n': 100, 'trace_an': 19}