Embedded newform data - 2268.2.i.m.865.3

Formats: - HTML - YAML - JSON - 2025-10-03T12:15:58.646215

• 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': 9072, 'analytic_conductor': 18.11007117842639, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 63, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 3, 'char_parity': 1, 'char_values': [2268, 3, [1135, 1541, 325], [3, 2, 2]], 'cm_discs': [], 'conrey_index': 865, 'dim': 8, 'field_disc': 310217769, 'field_disc_factorization': [[3, 4], [19, 2], [103, 2]], 'field_poly': [1, 1, 5, -4, 15, -2, 4, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [729, 243, 405, 0, 135, 6, 16, -2, 1]], [13, [9, 48, 220, 210, 195, -4, 21, 3, 1]], [19, [97969, -66043, 53911, 1322, 2275, 182, 94, 8, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54043745317816540, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 27, 'hecke_ring_index_factorization': [[3, 3]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 63, 8, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2268.2.i.m', 'level': 2268, '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], 'level_radical': 42, 'minimal_twist': '2268.2.k.c', 'nf_label': '8.0.310217769.2', 'prim_orbit_index': 8, 'qexp_display': 'q+(-\\beta _{1}-\\beta _{2})q^{5}+\\beta _{5}q^{7}+(-1+\\beta _{1}+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2268.2.i', 'trace_display': [0, 0, 2, 1], 'trace_hash': 395364998420936523, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.128', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.771', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.467', 'prec': 17}, {'__RealLiteral__': 0, 'data': '268.844', 'prec': 24}, {'__RealLiteral__': 0, 'data': '154.012', 'prec': 24}, {'__RealLiteral__': 0, 'data': '16329.391', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, 'traces': [8, 0, 0, 0, 2, 0, 1, 0, 0, 0, -5, 0, -3, 0, 0, 0, -2, 0, -8, 0, 0, 0, -2, 0, -8, 0, 0, 0, 2, 0, 0, 0, 0, 0, -11, 0, 4, 0, 0, 0, 3, 0, -5, 0, 0, 0, 30, 0, -19, 0, 0, 0, 24, 0, 16, 0, 0, 0, 20, 0, 24, 0, 0, 0, -24, 0, 14, 0, 0, 0, 22, 0, -10, 0, 0, 0, 11, 0, 0, 0, 0, 0, -35, 0, 13, 0, 0, 0, 18, 0, -9, 0, 0, 0, -20, 0, -19, 0, 0, 0, -10, 0, 7, 0, 0, 0, -12, 0, -16, 0, 0, 0, -7, 0, 7, 0, 0, 0, 68, 0, 7, 0, 0, 0, -66, 0, -6, 0, 0, 0, 2, 0, 26, 0, 0, 0, -28, 0, -37, 0, 0, 0, 27, 0, -22, 0, 0, 0, 3, 0, -25, 0, 0, 0, 33, 0, 10, 0, 0, 0, 35, 0, 16, 0, 0, 0, 8, 0, 19, 0, 0, 0, 44, 0, -40, 0, 0, 0, 24, 0, 96, 0, 0, 0, -26, 0, 26, 0, 0, 0, -66, 0, -2, 0, 0, 0, 22, 0, 13, 0, 0, 0, 22, 0, -54, 0, 0, 0, -61, 0, 22, 0, 0, 0, 40, 0, 18, 0, 0, 0, -18, 0, -32, 0, 0, 0, -27, 0, -31, 0, 0, 0, -35, 0, -30, 0, 0, 0, 21, 0, -29, 0, 0, 0, 116, 0, 45, 0, 0, 0, -150, 0, -76, 0, 0, 0, 21, 0, 50, 0, 0, 0, -60, 0, -48, 0, 0, 0, -25, 0, 6, 0, 0, 0, -10, 0, -35, 0, 0, 0, 25, 0, 32, 0, 0, 0, -33, 0, -2, 0, 0, 0, 33, 0, 8, 0, 0, 0, 84, 0, -1, 0, 0, 0, 81, 0, 50, 0, 0, 0, 14, 0, 146, 0, 0, 0, -66, 0, 118, 0, 0, 0, 74, 0, -6, 0, 0, 0, 0, 0, -56, 0, 0, 0, -103, 0, -3, 0, 0, 0, 51, 0, -14, 0, 0, 0, -18, 0, -52, 0, 0, 0, 3, 0, -77, 0, 0, 0, -13, 0, -48, 0, 0, 0, 2, 0, 13, 0, 0, 0, 93, 0, -13, 0, 0, 0, -126, 0, -52, 0, 0, 0, 25, 0, 41, 0, 0, 0, -103, 0, -37, 0, 0, 0, 60, 0, -54, 0, 0, 0, -6, 0, -51, 0, 0, 0, 26, 0, 88, 0, 0, 0, 31, 0, 67, 0, 0, 0, -36, 0, 15, 0, 0, 0, 170, 0, -81, 0, 0, 0, 42, 0, 106, 0, 0, 0, -142, 0, -6, 0, 0, 0, -20, 0, 96, 0, 0, 0, -16, 0, -27, 0, 0, 0, -9, 0, 2, 0, 0, 0, -76, 0, -4, 0, 0, 0, 74, 0, 25, 0, 0, 0, -70, 0, -55, 0, 0, 0, -11, 0, -18, 0, 0, 0, -88, 0, -83, 0, 0, 0, -36, 0, -20, 0, 0, 0, 95, 0, 56, 0, 0, 0, -222, 0, 2, 0, 0, 0, 3, 0, 121, 0, 0, 0, -107, 0, -60, 0, 0, 0, -27, 0, -59, 0, 0, 0, -48, 0, -20, 0, 0, 0, 33, 0, -96, 0, 0, 0, -35, 0, -33, 0, 0, 0, 80, 0, 27, 0, 0, 0, 196, 0, -90, 0, 0, 0, 71, 0, 90, 0, 0, 0, 142, 0, 20, 0, 0, 0, -198, 0, 132, 0, 0, 0, 92, 0, -31, 0, 0, 0, 53, 0, -78, 0, 0, 0, -125, 0, 69, 0, 0, 0, 33, 0, -4, 0, 0, 0, 12, 0, -80, 0, 0, 0, -32, 0, -15, 0, 0, 0, 30, 0, -9, 0, 0, 0, -80, 0, -10, 0, 0, 0, 132, 0, 4, 0, 0, 0, -118, 0, -32, 0, 0, 0, -36, 0, 63, 0, 0, 0, -68, 0, -8, 0, 0, 0, 42, 0, 19, 0, 0, 0, 63, 0, -79, 0, 0, 0, 31, 0, 62, 0, 0, 0, 98, 0, 82, 0, 0, 0, -24, 0, 67, 0, 0, 0, 144, 0, -68, 0, 0, 0, 24, 0, 182, 0, 0, 0, -18, 0, 136, 0, 0, 0, -88, 0, 180, 0, 0, 0, 62, 0, 35, 0, 0, 0, 73, 0, -20, 0, 0, 0, -117, 0, -6, 0, 0, 0, 36, 0, -91, 0, 0, 0, -8, 0, -10, 0, 0, 0, -4, 0, -63, 0, 0, 0, -92, 0, 3, 0, 0, 0, 54, 0, -105, 0, 0, 0, 153, 0, 3, 0, 0, 0, -316, 0, -120, 0, 0, 0, 7, 0, 121, 0, 0, 0, -39, 0, -79, 0, 0, 0, -16, 0, -81, 0, 0, 0, -84, 0, -4, 0, 0, 0, 52, 0, -24, 0, 0, 0, -86, 0, 0, 0, 0, 0, 72, 0, -6, 0, 0, 0, 88, 0, -142, 0, 0, 0, 71, 0, 50, 0, 0, 0, 34, 0, -70, 0, 0, 0, -122, 0, 92, 0, 0, 0, 180, 0, -97, 0, 0, 0, -35, 0, -142, 0, 0, 0, -80, 0, -8, 0, 0, 0, 4, 0, -91, 0, 0, 0, -64, 0, -77, 0, 0, 0, -48, 0, 22, 0, 0, 0, -7, 0, -43, 0, 0, 0, -30, 0, 78, 0, 0, 0, 114, 0, -10, 0, 0, 0, -18, 0, 184, 0, 0, 0, 51, 0, 24, 0, 0, 0, -75, 0, -36, 0, 0, 0, 102, 0, -69, 0, 0, 0, 57, 0, 12, 0, 0, 0, 33, 0, 26, 0, 0, 0, 127, 0, 26, 0, 0, 0, -18, 0, 50, 0, 0, 0, 60, 0, 19, 0, 0, 0, 77, 0, 208, 0, 0, 0, -166, 0, 0, 0, 0, 0, 32, 0, -48, 0, 0, 0, 28, 0, -15, 0, 0, 0, -8, 0, 52, 0, 0, 0, -86, 0, 55, 0, 0, 0, 51, 0, 145, 0, 0, 0, 66, 0, -69, 0, 0, 0, -51, 0, -71, 0, 0, 0, -49, 0, -41, 0, 0, 0, -20, 0, 31, 0, 0, 0, 129, 0, 121, 0, 0, 0, -204, 0, -68, 0, 0, 0, -3, 0, 103, 0, 0, 0, -91, 0, -91, 0, 0, 0, -114, 0, 30, 0, 0, 0, -84, 0, 0, 0, 0, 0, -6, 0, -6, 0, 0, 0, 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-6, 0, 32, 0, 0, 0, -6, 0, -84, 0, 0, 0, 63, 0, -114, 0, 0, 0, -57, 0, 104, 0, 0, 0, 80, 0, 155, 0, 0, 0, -180, 0, 61, 0, 0, 0, 25, 0, -75, 0, 0, 0, 34, 0, 72, 0, 0, 0, -5, 0, 144, 0, 0, 0, 38, 0, 14, 0, 0, 0, 52, 0, 160, 0, 0, 0, 51, 0, -142, 0, 0, 0, -6, 0, 86, 0, 0, 0, 87, 0, 76, 0, 0, 0, -9, 0, -88, 0, 0, 0, -25, 0, 126, 0, 0, 0, 143, 0, 56, 0, 0, 0, 15, 0, 127, 0, 0, 0, -68, 0, 171, 0, 0, 0, -34, 0, 40, 0, 0, 0, -242, 0, 72, 0, 0, 0, 6, 0, 42, 0, 0, 0, -168, 0, 89, 0, 0, 0, -149, 0, 186, 0, 0, 0, 57, 0, -16, 0, 0, 0, 103, 0, -46, 0, 0, 0, 156, 0, 34, 0, 0, 0, -117, 0, -43, 0, 0, 0, -33, 0, -24, 0, 0, 0, -21, 0, -120, 0, 0, 0, -19, 0, 46, 0, 0, 0, -106, 0, -186, 0, 0, 0, 60, 0, 99, 0, 0, 0, -41, 0, -99, 0, 0, 0, -86, 0, -89, 0, 0, 0, -22, 0, 6, 0, 0, 0, 25, 0, 40, 0, 0, 0, -69, 0, -132, 0, 0, 0, -11, 0, -163, 0, 0, 0, 72, 0, -187, 0, 0, 0, 41, 0, -24, 0, 0, 0, 304, 0, -132, 0, 0, 0, 116, 0, -242, 0, 0, 0, 72, 0, -105, 0, 0, 0, -36, 0, 62, 0, 0, 0, 4, 0, -88, 0, 0, 0, -93, 0, -131, 0, 0, 0, -42, 0, -139, 0, 0, 0, 85, 0, 236, 0, 0, 0, 79, 0, 22, 0, 0, 0, -78, 0, 108, 0, 0, 0, -19, 0, 8, 0, 0, 0, 110, 0, 96, 0, 0, 0, -99, 0, -51, 0, 0, 0, 49, 0, 12, 0, 0, 0, 109, 0, -14, 0, 0, 0, 52, 0, 68, 0, 0, 0, 125, 0, 122, 0, 0, 0, 126, 0, 61, 0, 0, 0, -71, 0, 11, 0, 0, 0, -42, 0, 23, 0, 0, 0, -108, 0, -46, 0, 0, 0, -312, 0, 20, 0, 0, 0, -48, 0, -162, 0, 0, 0, -6, 0, 68, 0, 0, 0, 22, 0, -62, 0, 0, 0, 14, 0, 92, 0, 0, 0, -67, 0, 207, 0, 0, 0, 6, 0, 63, 0, 0, 0, 51, 0, -33, 0, 0, 0, -67, 0, -32, 0, 0, 0, 98, 0, -21, 0, 0, 0, -129, 0, -47, 0, 0, 0, -12, 0, 6, 0, 0, 0, -12, 0, 55, 0, 0, 0, 176, 0, 29, 0, 0, 0, -102, 0, 177, 0, 0, 0, -26, 0, 27, 0, 0, 0, -52, 0, -100, 0, 0, 0, -252, 0, 20, 0, 0, 0, 93, 0, 12, 0, 0, 0, -204, 0, 103, 0, 0, 0, 63, 0, -84, 0, 0, 0, 42, 0, 286, 0, 0, 0, -126, 0, 66, 0, 0, 0, 220, 0, 1, 0, 0, 0, 12, 0, -74, 0, 0, 0, -9, 0, 87, 0, 0, 0, -137, 0, -186, 0, 0, 0, -172, 0, 4, 0, 0, 0, -13, 0, -84, 0, 0, 0, 142, 0, 39, 0, 0, 0, -116, 0, -101, 0, 0, 0, 13, 0, -48, 0, 0, 0, 228, 0, -36, 0, 0, 0, 62, 0, -129, 0, 0, 0, 102, 0, 43, 0, 0, 0, 30, 0, -100, 0, 0, 0, 3, 0, 43, 0, 0, 0, -95, 0, 280, 0, 0, 0, 136, 0, 9, 0, 0, 0, -112, 0, -125, 0, 0, 0, -108, 0, -10, 0, 0, 0, -163, 0, -166, 0, 0, 0, 48, 0, -236, 0, 0, 0, 110, 0, -28, 0, 0, 0, -186, 0, -102, 0, 0, 0, -121, 0, 126, 0, 0, 0, 45, 0, -117, 0, 0, 0, -36, 0, -14, 0, 0, 0, 42, 0, 186, 0, 0, 0, -9, 0, 143, 0, 0, 0, -24, 0, -28, 0], '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

  
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-0.42426087594280154, -0.05722197811607986, -0.38513810419478056, -0.10009693098123029, -0.13155443490009977, -0.3420771230878759, -0.31388094021996277, -0.23585512738040262, -0.12772517015438997, -0.20643118029884105, -0.20217274104298777, -0.47245340579207185, -0.4357245946580411, -0.23582289381452634, -0.2985652845596978, -0.45529810684494204, -0.27323918788501034, -0.10235418753220295, -0.0996687943500494, -0.31806999729594987, -0.0787559122443365, -0.48673018143254615, -0.26730279380923727, -0.16497436843071198, -0.10964407110353327, -0.1747191722489416, -0.3846420217018901, -0.13754528645246858, -0.3093507522208393, -0.26905758858273077, -0.09355653955681732, -0.029897141608268615, -0.34358293053671485, -0.43346241656078077, 0.04092524463386474, -0.04924952252648549, -0.3996262516110243, -0.059971003577473016, -0.0738649128018054, 0.012842405692547236, -0.11622551350102857, -0.35920422049226797, -0.08332381379693929, -0.35743499051768207, -0.27001473722139097, -0.3172245799808876, -0.43675353101701847, -0.44958641697710927, 0.05512932577171005, -0.24932883219027321, -0.4869780681971799, -0.384532769490035, -0.09100583965313642, -0.3450551078847983, -0.046206625020612915, -0.020880777936156558, 0.18157284943951552, -0.4452317251957702, -0.051599390128773244, -0.35775218608060677, -0.25195588301957283, -0.2811139079601673, 0.18835257396388777, -0.3662667551466926, 0.19384061096653268, 0.13384515012340234, 0.26126439778606153, -0.03792160878480573, -0.41439988622702717, -0.14966007582742605, -0.0190468057529627, -0.34578379262583075, -0.42112035995035346, -0.4663055141716524, -0.478566395481064, -0.2913135543114875, -0.17537995181063118, -0.38544368270275686, -0.020361767241964285, -0.30777663334971855, -0.3562238957587973, -0.4879837450954498, 0.19472322032891984], 'char_orbit_index': 9, 'conrey_index': 865, 'dual_conrey_index': 2053, 'dual_embedding_index': 3, 'dual_embedding_m': 7, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 1.7853103745653234, 'embedding_root_real': -1.030749425342321, 'hecke_orbit': 13, 'hecke_orbit_code': 54043745317816540, 'label': '2268.2.i.m.865.3', 'level': 2268, '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

  
  {'Nk2': 9072, 'analytic_conductor': 18.11007117842639, 'char_conductor': 63, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 3, 'char_parity': 1, 'char_values': [2268, 3, [1135, 1541, 325], [3, 2, 2]], 'conrey_index': 865, 'cusp_dim': 792, 'dim': 64, 'eis_dim': 144, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 13, 19], 'hecke_orbit_code': 549789370588, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 6, 6, 8, 8, 16], 'label': '2268.2.i', 'level': 2268, '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], 'level_radical': 42, 'mf_dim': 936, 'mf_new_dim': 64, 'num_forms': 14, 'prim_orbit_index': 8, 'relative_dim': 32, 'sturm_bound': 864, 'trace_bound': 13, 'trace_display': [0, 0, 0, -5], 'traces': [64, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -17, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 59, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -13, 0, 0, 0, 0, 0, 39, 0, 0, 0, 0, 0, 118, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -82, 0, 0, 0, 0, 0, 71, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 47, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -19, 0, 0, 0, 0, 0, -17, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 164, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 47, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, 140, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, -130, 0, 0, 0, 0, 0, -110, 0, 0, 0, 0, 0, -31, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -142, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 25, 0, 0, 0, 0, 0, -190, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, -79, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, -150, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 79, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 98, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 101, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 95, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 101, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -182, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 100, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 47, 0, 0, 0, 0, 0, -139, 0, 0, 0, 0, 0, -116, 0, 0, 0, 0, 0, -238, 0, 0, 0, 0, 0, 89, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, 42, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, -82, 0, 0, 0, 0, 0, -142, 0, 0, 0, 0, 0, 84, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, -41, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -186, 0, 0, 0, 0, 0, -337, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 50, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -186, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 74, 0, 0, 0, 0, 0, 107, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, -286, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, -106, 0, 0, 0, 0, 0, -62, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -872, 0, 0, 0, 0, 0, -130, 0, 0, 0, 0, 0, -178, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, 151, 0, 0, 0, 0, 0, 146, 0, 0, 0, 0, 0, 209, 0, 0, 0, 0, 0, 162, 0, 0, 0, 0, 0, 295, 0, 0, 0, 0, 0, 17, 0, 0, 0, 0, 0, 668, 0, 0, 0, 0, 0, 71, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 35, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 317, 0, 0, 0, 0, 0, 425, 0, 0, 0, 0, 0, 350, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, -242, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 131, 0, 0, 0, 0, 0, 59, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -222, 0, 0, 0, 0, 0, 155, 0, 0, 0, 0, 0, -82, 0, 0, 0], '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: 47596655
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 865, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 54043745317816540, 'target_is_minimal': False, 'target_label': '2268.2.i.m.865.3', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47596656
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 865, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49540145690446044, 'target_is_minimal': False, 'target_label': '2268.2.i.l.865.2', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47596657
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 541, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49540351848876252, 'target_is_minimal': False, 'target_label': '2268.2.l.l.541.2', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47596658
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 1621, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007886483065052, 'target_is_minimal': True, 'target_label': '2268.2.k.c.1621.2', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47596659
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 109, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49540351848876252, 'target_is_minimal': False, 'target_label': '2268.2.l.l.109.2', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47596660
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 109, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 54043951476246748, 'target_is_minimal': False, 'target_label': '2268.2.l.m.109.3', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47596661
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 1621, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13511486110435548, 'target_is_minimal': True, 'target_label': '2268.2.k.d.1621.3', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 47596662
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 541, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 54043951476246748, 'target_is_minimal': False, 'target_label': '2268.2.l.m.541.3', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47596663
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 1297, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007886483065052, 'target_is_minimal': True, 'target_label': '2268.2.k.c.1297.2', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '63.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47596664
    {'conductor': 63, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 1297, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13511486110435548, 'target_is_minimal': True, 'target_label': '2268.2.k.d.1297.3', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '63.16', 'twisting_conrey_index': 16, 'weight': 2}
  • id: 47596665
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 2053, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49540145690446044, 'target_is_minimal': False, 'target_label': '2268.2.i.l.2053.2', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '63.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 47596666
    {'conductor': 63, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 865, 'source_dim': 8, 'source_embedding_index': 3, 'source_hecke_orbit_code': 54043745317816540, 'source_is_minimal': False, 'source_label': '2268.2.i.m.865.3', 'source_level': 2268, 'target_conrey_index': 2053, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 54043745317816540, 'target_is_minimal': False, 'target_label': '2268.2.i.m.2053.3', 'target_level': 2268, 'twist_class_label': '2268.2.k.c.1297.2', 'twist_class_level': 2268, 'twisting_char_label': '63.58', 'twisting_conrey_index': 58, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2535450
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 54043745317816540, 'p': 2}
  • id: 2535451
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 54043745317816540, 'p': 3}
  • id: 2535452
    {'charpoly_factorization': [[[729, 243, 405, 0, 135, 6, 16, -2, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 5}
  • id: 2535453
    {'charpoly_factorization': [[[2401, -343, 490, -35, 101, -5, 10, -1, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 7}
  • id: 2535454
    {'charpoly_factorization': [[[729, 972, 1134, 486, 243, 42, 31, 5, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 11}
  • id: 2535455
    {'charpoly_factorization': [[[9, 48, 220, 210, 195, -4, 21, 3, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 13}
  • id: 2535456
    {'charpoly_factorization': [[[35721, -3402, 6561, -162, 936, -30, 37, 2, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 17}
  • id: 2535457
    {'charpoly_factorization': [[[97969, -66043, 53911, 1322, 2275, 182, 94, 8, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 19}
  • id: 2535458
    {'charpoly_factorization': [[[35721, 39123, 32643, 11934, 3519, 306, 58, 2, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 23}
  • id: 2535459
    {'charpoly_factorization': [[[729, 486, 1944, -972, 3609, 84, 64, -2, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 29}
  • id: 2535460
    {'charpoly_factorization': [[[-423, 340, -75, 0, 1], 2]], 'hecke_orbit_code': 54043745317816540, 'p': 31}
  • id: 2535461
    {'charpoly_factorization': [[[361, 1805, 9595, -2698, 1261, -70, 46, -4, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 37}
  • id: 2535462
    {'charpoly_factorization': [[[59049, -65610, 55404, -20898, 6237, -324, 81, -3, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 41}
  • id: 2535463
    {'charpoly_factorization': [[[39601, -18706, 14806, 830, 1171, 38, 55, 5, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 43}
  • id: 2535464
    {'charpoly_factorization': [[[-81, 81, 45, -15, 1], 2]], 'hecke_orbit_code': 54043745317816540, 'p': 47}
  • id: 2535465
    {'charpoly_factorization': [[[66928761, -12590559, 2957553, -281880, 50301, -4806, 504, -24, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 53}
  • id: 2535466
    {'charpoly_factorization': [[[2403, 405, -90, -10, 1], 2]], 'hecke_orbit_code': 54043745317816540, 'p': 59}
  • id: 2535467
    {'charpoly_factorization': [[[-4497, 1594, -105, -12, 1], 2]], 'hecke_orbit_code': 54043745317816540, 'p': 61}
  • id: 2535468
    {'charpoly_factorization': [[[12527, 970, -252, -7, 1], 2]], 'hecke_orbit_code': 54043745317816540, 'p': 67}
  • id: 2535469
    {'charpoly_factorization': [[[-7803, 2295, -141, -11, 1], 2]], 'hecke_orbit_code': 54043745317816540, 'p': 71}
  • id: 2535470
    {'charpoly_factorization': [[[2411809, -1156985, 694795, 35990, 13997, 590, 190, 10, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 73}
  • id: 2535471
    {'charpoly_factorization': [[[729, -227, -120, 0, 1], 2]], 'hecke_orbit_code': 54043745317816540, 'p': 79}
  • id: 2535472
    {'charpoly_factorization': [[[729, 36450, 1812132, 516510, 100179, 10740, 841, 35, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 83}
  • id: 2535473
    {'charpoly_factorization': [[[344065401, -72619335, 12990051, -1161054, 104895, -5562, 450, -18, 1], 1]], 'hecke_orbit_code': 54043745317816540, 'p': 89}
  • id: 2535474
    {'charpoly_factorization': [[[21520321, 8257420, 2917894, 272402, 41375, 2534, 415, 19, 1], 1]], 'hecke_orbit_code': 54043745317816540, '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': 9, 'hecke_orbit': 13, 'label': '2268.2.i.m', 'level': 2268, 'portrait': 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wGLHclg5BN4AmE066Y0c5MpS52QzkAwTHyW+4KNk5rFtub4OUXND9g4A1vXRWyYHbJ+dsTG2RFbNxi2b1Rcsc2nrpocOT7BV58MeHh/wuPHYlLV5Rtf0uatLzLU1Sz7j01x5LTHqfMpZzNwH1ww3HjVPD/3nctsm5vk9Pkpzi/XWGz7LLUlK92UTi+lNxTsP7rA/hPtKx47MP/SwyfPXXT01PnP3/yat0d33/qR5xoSX9PtHzWDLy23GUYGT/Huux85/KKf+s2/ke+4+cCL/v3bTnrzyxtYak+w2G6w2A5YbHsstmGpnbLUjllcSTm7AocWBevmVviv373ICy5rcOLcDKfPNzm94HFu0XB2IeHkfMr5bsLUzJAXX9Pjpt0QyDqhCjm3VOPMgsfZJUF/BEmiqQWaZi1lejJBA8fOJnR6sGODT7M+whgBIqA30GzfOGJxxQNjpchKD0YJGAxL7Ygt6326A4VQBqFHTNR8tm8astIXHDvtkWqP2QlJqyYIfUgSQX8kObskObNoOLecEIZD8BNuvrLHi64SrJuos7g8wYlzIacX4NxCwrmlhFNLcGjRcMOVC/zCdy+zcWqC42dnOLtYZ345YKEtWVpJWe7ELHdSlrqaha7kRAdWlrr8+r8fJd/xmsY9wbof1EHjinsk+qdSfMLaxHMNlQve/tEy+Pv/7KO86Kbr+fH/+B9/8S8+evu/f88Hv3jJ3uMrFx083ZMvvrrLxZs1qfYwRmGMZW+MBCQgEMLgCUMg4fRinfsPSq7ZtcTubUMaNfA9SeArgsCjWZc0fEm/57PvaI0vPBxw7PyIThKz78SIDbNLvOnFy1xzSZcbdrc5upCw0Bc0wiGHTxvanSZXXyxZGabsOapoNTyeOgaXbjYMo5RhGuB5MdMt2HsiRHkpvkzwfBiMJC/Y3WfQl1xzSUpnkHLsdIudGxXNRsTKyLB+qs9yr8OHb4dHj6Q8fmTIjs2LXHt5h+mZiDfe3OVbXmbYtbFFGk9x5NQkh076nDirOXk+5uT5lEPnBcdXYp532Tz/9bu7bJia4sTZGc4tNphfCVhsS5bbKe1uzEovZblnWOoJzvUVy52EG3cv8K43n5d1j4vmzx3bORgmLwxbF9frjekvPnTvJ/iDP/qL5xoya97+UTL4X3z4b7j6si3qngcP/ufDx8/+zEOPH1VnlyIWhoozfcM1O87x6z8yz3W7GpxbnGax3WCpXWOp7bPU8VjuwnI7ZbmTsNRNWGjDiWWBVx9yy1VLfOvLInaub7LSm+D8Up35pYCFtmCpbSXCclfTGWg6I0N/mDA7EbN9gwYEoW84ed5HyJAd6xU7Nxs2r+9zbnnEYwdaPP9SQ6O+zJMHZ2g1I6LIZ3ZaMxjCFduHfPD2KS7fljAaGeYmJXE6oFULeerokLrf5LrLEh4/HHFuMWDLbMjOTbB9Y4RSMScXIPANQhh2bEiYbkm6g5Be36fT91nqKJZWYLGtWWqnLLRTzrZhcZiyfUuPb335Arfs9qj5E5xZmGBhucbCisdSR7Dc1qx0Y5a7KSs9w2IPznYV51YSXnD5WX7lRxa5dEuTxfYEy52Q3nASGV6aBvWNv6j9i39BJKfTl7zim59r6Ky6/aMC+P59+6nXa/VTp05uf/jRp9555Nip/7bv4EmGkaQ7hOWB4HxfcbqbcMPFZ/mfP7LEtRfXOb88zeJKg+VOjaWOz3LHY7kD7a5mpZuw3E1Y6hjOtQWnewZEj7e+pM0bX6C5eFONKGqw3K6x0gtodxXLPUG3LxiODFFiSFNQ0hD6UA8NUxOG9TMxnj/k0JmIJw6G6KTJ618Y4fkrPLRnkos2wWfvT3jJ1SHn2wNqniJJY2amIYl9PD9hcbHBi6/v8Nl7W+zcBA8eGOHT4HUv0CRiwBOHUo6crOHJgA3THtNNQT0UBIFACUg0RLFhGEG3b1jpabp9zUpfs9gzDNKUHVv7vPGmNm99UQS6xeLKJOeX6lZvdzyW27DSTWn3ElYycC/14UxHMd9JueGyc/zKj5znyh11FpanWO42aPdCOj2flY4gbGyl3trwsxu37v6rrVu2HB8Oh4NLL7v8uYZScftHA/DjRw+ybt264MDBg9+7f/+B333gwUfF4nJPDkea3lDTGxo6A1gZSM4PJGe6MS+45Dy//IOLXH9JjYWVKRZXmix3Qla6Actdj5WuoN01tHspK92Edk+z3DOc7wrOtDXTU31ec0OXm3cn7NigmKj7dLo1Ql8CiiiRaC3QBvpDQGimW0MOnDJoE3Hbg01G/TqXbAm45Zo+sV7hzoenuO5SnwNne7SXJ7jpmj5ffChkw4xhzzHDv3xLhz1HQzbMSL7wsOKWKxRL/Q6HT8xw3WURdz4xIBk1uPnKgF3bhgySHrc+pCAVHDrpMdHw8AT0BxJtBKk2xAkgNV6gafcMzVbMtk0jXnRFn9c8P2G2WePc0iSLK3WWO/bYLHcE7R60uwntXkK7l9LuG5b6krNdwUI34YWXz/OLPzjPtTtrzK9MstJt0OmFdPoB3b5Hty/pDgSJrumLL7naXHTRrnddvOuS9y8szEe7d//jAPk/CoAnSSKj0eBND9z72Uv6g+RX7n/wIX8whGFkGAxT+sO0AHl3IGgPBOcHktPthJuvOM+7f3Ce5+8KWOlMMr/cot2rsdINWOl5tLuKdh+6PUOnn1h3YKBp9w3zPcF8D+J0xLWXDtg4k9LrG95w04iLNmqSVOJJQxTDHY/VOH6+xqbphCcP1UA32L1Vcf3lmrDW56EDfeYXmlx1UZOJqWXufdznxktrLPZXWF6eYONGw/17FP/slT0e2OOxdb3PQq/N8tIM11/R594nU2bqU1x1SY/z7Tb3Pz1F3Wtyw+WGy7YPQfZ47Ihg/UzMufmYOx/zGcYKKSHVhos2RbzmpohuT7F5WnP9pRBFDZbaDZbaISs9n05f0e5JOj3o9K1T0u2ndPqalb5haSA51RG0ByNuuWyeX/iBZW641F4c7W6dTj+k2/fpDjy6fUVvKOkNBN1+Sq+fcN31N8RGqP/0jrd908FGo/4p3/f1c42t5zyTORr1ieP+dx8//NCvnz+zf+b8/DLNmkQKGyhiDKb4aWsBCmGQ0iClxwP7N/BT7/V4yy1LfNsrl9i5JeLs4gRhUKceBjRCn2bdo1uXtAY+k03PXjCDlA0jzWBk6A5DluZrnDxhiBLNqbMJYWgAQaAMnhT0BwqBT9L3eN5Fgl2bDdu39BmlXT73gGLvwWle+/yQ669Y5gOfMwSiwUVb+jx+r2LLlGJuok9N1Ylin/NdaNY8tm4QPLo34vrL6rzsugX+5NMDAr/Fq19o8MM+X7o/4rP3NXn6SJ2LNze4aFPKuumInXMxV1+UopTGUwYwNMKQdVMhUezT7Qc8ecC3JQqDHIjQGxp6ffu3dwcpvYGhMzCsDGC+rzi3bGhMtvmx18/zzbeMuPbiJmcWJmj3anQLcCt62b/ZHwoGI8MohjiFu+55wJ+cnP319esfWHr5S17w77q9/p+0mo3nFF/PKcDjqA+CHzh99N53H957+0w06FIPA0zmhBiE/YoiRQBCgBS2k0ZJg5IpgZQ8fmAdj+xvcuD0ed7yoh4vunLIVGuCpXaDZqfGxCCg1/fsyRlKBkOP/shjODIMI00UG+LYkKT2HiUBRoNUAt8T1ALBVEsw3YKNc5qtG/rMTbf5/ENw1yM+Uk/y2uf7PG93l7ufjomGE9zyPEF7MOD8YpObL9PMTfWpeyHDRDHfiVFa8LzLPBqtEQ/vq/HS6ye56douD+9TYCZ5/pUB3/+NS3zx0YgvPNBkz/Ea29cpNs7UmW41mGxBPQTfMygJ2sCeI4I0FcSJIEpgFGP/xlHKYKQZjjT9oaY/0vQG0BnBfE9yvgsjPeRV1y3xphe1+Y5Xa5JkgrMLTTq9Gt1BQG/g0xsougNFfygKcA+GmuEoZRRpBiPN+aOnOfNXn5vpDpL/8c1vfJnX6fbfO9F67kD+nAE8Gi0iSL5/4eQd7z5/7IvrPfq0miGDkV3VBICQCARCKIQQSEkGblDK4CmDrzR1X7DQr/Oh27fypUc6vOTqFb7zVStcvbPH7FSDxZUG3UFIf+BnwFb2HglGsSROBElil3qTLRdKGjwPagE06pqZVsyW9X0Sehw4FfPhO2scPtFkKqxz45UeN1/T4f79bW776gQvvLTG9k19Pni7QImQiVbMSm+ENqAErJvo0+kG6KTOm15yng99tsGuczXe+MI+UbzInU/MEqc1XnDlet54Y4dLt7X50sN9Hj/R4LEjAVtnJDMTgkYoCHx7EUoBQhi0Aa0NcZJdrLFhFNsLeRjBIILuULA8Eix1QXhDrrt8he98zQovuTJldqLOcqdBu1un2w/pDX16g3Il6I8kgyH0swtnOEwZRJrhyDCKINGKk2fbvP8vv7C+P+Ld3/KmF5sz55b+eNOGmf87AG4W/ztnVy6lP//x70mi/q90zj85p+jSqNdAJBlvewhhUS6ERAiBEBIlPaRMUUpky7PGV4bQM9Q9wfJQsdie5iN3NLnvyR63XLvCd756het2tZlN6yRJSH9YozfwGYw8olgRJ5IklaRaoI2wWVBhCANNo5YQBhGBP+LU4ohPPyg5eDLgyMlplA7ZtSngip2K5+/uoMJ5njjUYstUg6suho3rllnqTHD1FkmiDZ9/IGTUl0w1E173giGfujPm+NkWl1/ic2ZlyFOHfbZtmObanfPc/XiXe58SjKKA3Ttn2L0tZPfWLofOLHHwFDywt8GBw00aniD0JM3QUPNBSksMxtiLNUkhSiBKBb2RoDMUdGKIdII2Q264tMN3vqbDS65O2TQTMhxOstiu0e2F9IYB/YFHb6joDxWDkWAwlAxGtm90OEqtxz+y4B5EmmFkHZ0oVZw/2+EP/vLL6x8+OP8rk5ON5N3v+ewHHn76BB/+tR/8pwvw//ju34aZj+O3+Q4VHf3NQfv0lIdPo1ZDiBiwEkQIMtbGsrUUKCXwlMoeNZ5K8T1B4GkC3xD6hkaQMlUTdEc+y51pPnrXBLc/NmTDdJ93vrzN7m1DhoMeV+00bNuoGMU+aVqm+QUGKTW+l3LsnOHIWcHKQPPJuxucWpjGRD7TNcXmWY8dGz0u3gJX7eqg5QLv+VSTpaVJXrjb46pdbb70mEAkPuunJc1GQj8OkEaCkSgvoD0UnFsSXGkavPz5Xe55uM7muYAXXjXD933jAu//bJcH9jXpDX0WV1rs3Fzn8k19XnBZl7e9tMvppSU+eXfIYj/k2BmfU6cCfCWQ0q562hhSDbE2pIlmejbmmiv7jEYxu7eNePvLR6yfVMy0QuK4xpn5Gv1BQH9kV7lBAWxpwT0SDEfYlWCUMow0oyi1Eig2GchhEAv6kWCoPU6f7vDk39w7d9XF63/zpuvWxR/+tSv+Yvn4f2d6+0//0wP4j/63D7PhpneK7/5x9Y4tE0/80Ttf+kTjqp0hPdHIWLrU2IXWllYqSClRUuIpgaeyR0/geymBJwh8Tc031GNDIzJM1lKm64J+JOlGTY6cbPLLfzEDOkEkCc+/ps/OjRFJAtpojLFJHCkEUgk8P2Df8YA9B2s0ax6tQDLXEKyblayf8di8TrFjU8rlO1ZIxSK/9bEJjh2f4oWX+ey+KGWQdPnqEyFTdZ/ZScNUK6JRt1JIa0l7qFjqGRbbKe1enRdftcKDe/rsPa6Ymqjxgiun+ME3LfI7H4eHDzbpDQwrXY9zSxNsnGuwfnrIjtkh//EdfSYabR4/AvtOSHzfoJRBCA0Y+z8DSQIXbUy55eqENPaJkxBjGgwjn7MLAYORXdGGkSrk2yASDEeCYWRZexTZrOxopBlFmmGss/dMwdyDWDCIBd1IsBILuokm7Q+JOg9NffML5v7otxfmk67+6Y+snJg2U9ve9U8H4P/63R9mx8Zp9cSX/vyt+4+tfODP7l+sPbp3kl/+Fx12bzfI7KQIoZEiREqDkj5KGZRUKKUyvS3xPas5A18x8iWjSBNGKaPYUI81o1gTRYaJBEaxZpRAlAiGsWSUhsRpjb0Hmzy2F1JjsNC22tiXEChb89EK4apNMFGHyaZkuqWYnfJYPwPbN47YtG6F2CzxWx+b5NDhSa6/WHHxVsmurct8+amEc4uTPH+nZHpCUwsGhDLEKEGSSoQxJGnEcq/GuUWf63fXed5lXe5+uMaGaUGj1uL6yzQ/9tZFfvPjmqdOtVjpaVa6ivllj7mpJtMTdaYnJploxKxrxuy4PiL0E3wvQakUKWwwYbAXVRwrzs97xIkiThRRrBjF2WMkGcWSUSQZRpJRJGyAGglGkWEU2eM6ilKiKNP0sX1/GMEwFgxj6GfgXo4lvShBDwc876Jl3v2jC7z6qjON9nL9A1r9lpb+jo8tHfuDdGbHj3z9A/xnf/VDTDUDdez42bcfPnLmTx58+kSN5jSfu9/D9yS/8IMrXLGti5IpUmkLbuWjlLaP0uArg+8pfM/gR5LAF/Yk+IJRoIhiC/Q4NkRJal2RxLmnkKSGNNWkGqu3NQW4cynkSfB9CD1BLRQ0QkmzoZhsSKYnBetnEnZs7NNqrvCxeyLufGKGlYUJrtmu2LHJ59JtQ1KxwucfaND0PdZNK1qNIU8cgqcPe1y9zdAfKa69NOaaXYazZ1LmlwMGwwavv7HLVx4fcOCUolmXhMEEV1+s+YXvWeSOpwZ86o45FjuGHetTltseUxOKyaZPq+HTrBtqoSYMNKGX4ikrtWTWWmkMNmGlBYmWJKkgSQRxIokSQRxLRrF1XqJYEMWGKIJRnBLFmsghjlHs3i24Bxm4O7GkHUN/FCPjHtdftMzP/9ASb7hR0+lP0h8crsmw9mciCP65kXN/ffrA+9LNl37f1zfAA6Hl8nL7244ePfX7e/Ycr03WPbqJIhIT/O29kmikePsrOrzjVT2mJ1K6UuPJNNPZVg/7nocfe4SeYuhbphn5kigQRLGwJydWxAlEsbQOQlLafkmqSVPrLqQmc0oytyR3Z5S0sifwBGEgqYWSZl0w0TBMtTQbZkasm+6SmBU+8hXJ+z87y/pajWu2C7Zv8rlos2bHpmU+9lXD0lKN3RsV0xPQasScOyo5vxwS7IRRLFg3KZmaggNHDMsdzdmFGpdeVOOVz+/y6btqzLYgDAKUnOLqXYIfeuN5fHmev717mqdP1djQiVk/lTDZVLTqikZdUg89wgBCHzzPOkxSgBQOyLEXdqohTQVJSgZ0iFNDlEAcp5YUYk2UP8Y6sx1zVyazIBMrSXqxoJNIurEmGkZMhh2+9fWLvOPlPV59PXR6LQZRSJQExIOjNVmr/ZFXCz0h/L/E8szXJ8B//30fJ03199x13+H/efDgiYnZhmKYGpQQdITPSEzw+Qc8vvpUjTPLi/zLt/WZnkgYhTU6/RqeCvA9H9/zCaKUyPcIIitNotim0i3jCMtEGSsliU08pKl1ErS2AZfWJu/hzMBtAW4DV4HvWYDUQmjUNK16wlQrYd3UgLnpFe7ZG/Fnt9XZd2SKiyZ9dm2ErRsDtm6Ay7d36Ccd7t8zQV35rJtWTLVgqjViejIhCDyEsBfXYBSw1IlZ6RvavYTzywHbN7a4afd5bnugz75TEzTCGF8FCDHJri2K73r1Ajdcfp4/u63F/U9OsdjzWD+RMNVIaNQk9Zoi9AWhL/F9G6soRWYfWpQbbA+r1hRAT1KdrW6ZtZhoktSCO4khSkx5j60rM0wsqfRjQScRdBMYDhN0MmC23uFd37LEf/j2Ho0woN1tMBqFjGKfKPaJEo9R9/hE0PB+qzV7TXDoqY+9f9dVb/36A/jSchsl5Q/8wfv+5t0nT56cbdUEcWpQidW7nhB0hMdANlgZefzPv/LZc2iZN720x8uv67JhLqLbqTMYhQR+Qhj4jCKPMLD2Xg7wOJZEiV124yTztFMy64+MuSXaUILbJikz5gZP2YRJ4BtqgaZeS2jVEqYnRmya63Cu3ed3P+nz+QdnWFpucsk6wfb1gi3rA7auF+zcPMQLVvjQnR6HTzS5bINkuiWZbKZIOeLUvCH0JFKAMYIo9tixvsMDpHT6iuWO4dxSncu21njby9v89ZcCjp4L8b0YIXy0aRInkufvXGbHt3f4/MN9Pvj5GR462mTLtGCumdKspdQCQegLAt/GKp7CBs5SFDUZBnuRaYN1WlIL+BzkSWolnQU7RKmtdYny5FEiGCTQTSTdBAaRJu2P2DrX5WXXL/Pml/Z5w40aTzRYXqkxim121d7zcyfpzJ+dlbVLfuWya9+mBoPOe+v1/zM15f9HAL603CYI/O/77K13vvuxJ55aH3rGWn1JtmxK+9qXgp6UdGWNduTxoS/XuOPxLtfv7vDtr+7zxhe2mZ0KGQxDBqOA0PeJEnug8kApSRRxKkkSSZwKkkSSpoJUi1Jra0GhSkzu1thkkcqSRYGvCYOUepjQqo+Ym+oxiAd86QnDh788yf1PTjEd+Fy9xbBpRrJhNmDzOsnWDREXb1nm8aMDPvmVdUwqj3WTgommYKIR0+6nfParNVqBdYe0gcHI4023jPjMfbYmpt3TnF/22Lq+xVte1OP+vV32HAhohglKCgty3WAYWa3/Xa9sc9mm83zojg73Pj3F8eU6GycEkzVDI9DUPE3gg6cESpIlyOzfnZcf6UyqaV2ucEkGdEsQEKeCOM2AnQqGiaCfCHopNuaJIpr1Pm957RLf9uoOz78sZcO0z2DYpNMLiOKAKPYZxT5xTkqxZ1feSHLi6L71Xnjvu3ftfonu9zrvazT/4UH+Dwrw5eUVut0eUvDdX7z9rl/97Oe+NNteWaYWKuIc3MKmlj1h776EUEJX+vR9xclOyOn7Gtz3RI+/vqbL21854HW3DJmZCohGIaPEskGceMQZ0JNUkaRZwiYtAa5Nxty6rCkTmQ2ppK3j8DxN4KeEQUw9jGjVB6QM+OLDkr+4fYonj0wi4pCLpg2bpgxzU4p1MwEb5ySb18Vs39jhxHyXP/hUk2RUZ+tWwVTLY6IJE40Y4Ud0Bk2mWgYhBMZAnEhmQkWiE7pxQLefstxRnJqvc+XFLX74m1b4lb8MOTbfxFNxdmF4JEmNYSTZOBvy/Es6XHNxj6eOneLDX65z20NTnG7XaYaKVgBN3xB4Bl+BJ+0xF6JaXacBo+1Fl2pBaiBJhfXPU0GU2iTRIBUMUhgkhiRJ0PGI2dqA179qhXe+qstLro6ZrPtEcZPldsgoDogTL2NtlT3P3RuZrbyKUW+FJx65Y32UyF+95PIbk/PnT/9ps9Gk0fyHm5/4Dwrwfn9Aq9V88333P/g7t976pYler0099EhSY5dKB+BSZOnw1OBLQaA09VTQVwH9xOP8qMbf3tfkzif7vOALPf7Vt3S5YnuH9VOKiYZn2SHxSZIS5GkOcC3RRmKMlQSmCCizVL8yNoj1EsIgwVcRnUHMfCfmNz5W48j5aR7eM4XRAbN1wfo5w9ykYHZCMTvls2FWsnE2Ycu6PrNTy3z+Ec1DT09xzVbBdEvSakgmGppmPUL4I8LQw1P29xsDaSoZjDwGw5hEC7oDTbdnWOr4nF2c4ObLe9x05Qof+kKN+pLCkzYJpo1HkgZEse3xnJuqccOuHjdc0uOBl53m2Lzkz26b4vxKg5OLIYGSNH1BkMswaUmmIPJcqmCZPDGCREOsBaMUhglE2kCaQBIj1YjN0wOu2WHPx41XpEzUPZKkSbtrgZ1kwLZg9jLZqIgSRRzLzLmxj3Gq6A66PPzAHbPGeL9z+RXXLY9Gg0/+Q2LyHwzg+/YdYPPmjepP/vQvL9m7b/9Ep92mFuTgdgqlMqliwQ1eKvCVIUgMtVTQUIKBEvS9kEHqsxjVue2hSe55ekAzHPHP39Bm62zCRZsH3HxVF0/YFjEhrFyxWUlbK22Mw9wYhDQoYT1zQwIy4akjkgf3enz6/hZPHW8RJQ1anmJd3TDTNEw3jPXBJzxmJj1mpwQbZxI2rxuwad0ydz454j2fXs+mKY91EzDRVEw0Ba1GQj0ccc9+xTDy8JsWVMYIokRS8xTXXTbgviembOHTIGWl47OwEnJuYZoffuM5Ti4sct+j6/AlIGI0FAAaRZLewGO6VWNqoslNl/V52TV9vv0V8+w9ofnM/TXu31tn/+EmifAYjRT9WKGK0gc38MxyAkaTaIPRGl+kTAYRNWJuur7Hzk1Dts7FfOfrRtQDSbPuE0UN2t0gW0m9jHBU4bXbu1zjLjI5KUi1pL/S5vFH7p5YXDh7yate93Z17OihdMdFu/7xAHzvnj2sn5sNHnrwoe+VQv/PzsoytZqH1pQZSmnBLaUtP1UJViKkBi8BXwp8bQhTQ00JGqlgpGGY+gxSn35ao9tN+dUPTWOSmA3rhly5fcjsZMLbXzlg+/qIOBaZ3pbgMDfFd9AIKfjoHXUeP9REeB7HTjc4da5Bra6YDAVTTcNETTNRg1ZdMNlQTLQU0y2P2SmYm0rYMDtky/oOqVnho1+ZYNBrculWw0RD0WpIWnVNq5bg+xGfv6/GqC/x19tu0VyiNOuK179gwF2PaHojSW+Q0ul7rHQ9zi42uGJni7e/pMPDTzU4ttRCSQ3EmV72iVPFKLaJmd7Qo90LaNUbNOsjrtg65IWXDzlxvs3RMyt4fspjhz3++ssNhLKFa4zPHzQa0GAMcZSyY0PCO185YG4i5fIdhg2zkCY+o6hFkvgsd3ySWBGnXhYHWUDnALcxkcxqfVwDoDQC4sRWP6bG49z5Jabnkv/52KMP97ds2/H+ffv2RJdffsU/DoCfOnWShYX5y06dOvW7jz36oAwC2wmTpCYLKA2JNBm4IclS8IkWeInViXFq8FOrAUPPUEsNSSqItCFKBSMtGaWSSPvEGuZ7E3z5cY0h5RP325ENGJ3d8yxeZpGJvCJRIpUiiT2ktommVgg71xmavqYRahohNEJBsy5p1a0cmmxJpidgdjJh3fSIzeu6pCzzG39T4+4n1rNrFqYbGXs3JK16QqMe0WwMqNcbhEqiZKbBsXIgjn2GA8FglNIdKXpDTXegbctcM+DkuUlefOWIH3vHOX79rz2Or4QIoTEmRqeGOPGJYslwZMtYWwOPZi2gUa/RCBvUwphWPeL5l0YEfsyNlyZ856v6eCrJkkDa1tu7ojyTdFpLhJCEvgIChiOPxWXP1u2kecyT3RNZxkBZ4VoO7hzYeWIpyYLW8nXmx2tIEsN99z8o41T+bq/f/8poNHryHwKb/9sA/9Jtn2CypepHjhx86759B0UYeGgjSFKblUwdcCtlEzBSGVQKKrXaMEnBS23vY5JH9GkW1eeRvRblay2ItCQxklR7xDokzWwv91ZkKTNb0pPgK6jVDTXPUFMpoQ+hB7XAUA8F9UDSqEsaNc8CvCmYamlmJhJmp0asn+mxef0i7/m05oO3bWDblGKupZloKloNRbMBjXpKqx5zZlFz6ExILbAXNOSVfoJh5LFzo2bj3JDOMGAwNBmLS1a6Hq16jVZjiu981XkOnznLH31yC570MGhSnZJoQ5x4jCLFILJFUf2apDH0qIc+9TCl3bUxRuCnNmHmp3jSNkpImWZ1PyZrLCGrvxcZyAVtnVVZahvXpKlEa0miy3gnSYUT4OfPnceMpUtwW1DHqbDnO7vb9+CRRx8TFy333rp1245DH/nrvxm84+1ve24B3qx7QWfl/E922ud+UjCStVCSpCCFJMnYOwd6qrNa7lSQZvIk0eCl1q9O8+SDNtlrU7xXPi8r5ayXK4pAydXcQBHUSgGe1HiSrKYFfCXwPWN9Y09QCyW1QFIPFfWaolWXtBqGyWbKVCthZmLE3HSf7RsWuX//iA/dsZnpWsiGlmaiISy465JmTdOsJbQaI+7fB4/tbXDJOpPp3jJtPhgpbrzccOn2AQ88OUV/ZNvzegMvA7lPo1anXpviW1+6xGP7z3Pfno1gFFqnthw2MSSxKepJBiOPxtBQrylqgSYMfMIgJfQ0npfiezY7rJQuzosUBoRBUOq5Mji3JcQ6d6R0br86VmwObG1BXL6mAHZ+twRWBXaSn/uM4FbafXn85On/rPxa0Gg0fxGInjOAD4Z9GY2GP//Fz/7lv1tePBuEvld4rlIIC+QKwC2wVZZUSJXB09lzbRtodUrxPM0zbibPvBl0lonLkxUma2lz5PYYwMuEjpJZxlLhFG3Z7F8YKGqhoh4KGnVBq26YaKRMNhOmWiNmJwdsXrfMffsG/PyfbOD4ySkuntNMNWCirmjWFc0aNGsp9VpM4A9pD22xmK9s/JHfUp1r0YCJekw/0fSzOuv+MKXbl7TrikY3pBa2uGhjzC98b5v/8gHJV/dswKDQRpOmmiRNiBJNFCuGkWIQSuojRS2QhIEhDBShp/F96/d7ymR1PtmqmskUIUy1QTdL7ZuMRExWy5JmgE91+WjJSGaPogR49jzNpGeSk1i2OtvzDmliSLQuMs/Hj58OavXmf/qh7/8ufzDo/2y93vh7p/P/3gDv9zvoNP7FJx69+9+cO3uy5vuSVNsUYQ6qVNorVklBonIgG7S04E4zcOv8uRZobYo0si48WjDa2C7yrATUvTMG8DywFTm4RV5TbiWRl7Wi+Z4kDOwAoFpoRzLUQ0Ozpmk1UiYaMZOtiJmJAZvXrXDf3j7/5f1z7Ds+w44Z67C06pJmQ1r2rhsatZRGLSZOI/78Cy2kUvjSoERpE1oJJ0lSn+967TK3PhTRjUL6GcB7A0W3p2iHHrUgJPQnuHxbwn/7/kV+7v2Ce5/cgDaSVNu0epzYQrNRpBnVbLlrGApqviAMbGYz8EyRsfWUtjJRlmXJBcDLlCeQkQg2l2DdliyQzwGcTR3QRXKNjN0pVtx8dS4BbpzHDBdZIZzdxEBy9Oix2he/dOe/fd1rXyXa7c5PTU7+/ZJAf2+Anz9zGGPMTccPP1IXjPCULGu5U8vgqQSlyR4FqRSkRXo4B3cuP+x7uqiVKNuvLNCFraPIQZ0f+LHvVfZuZnUmkrKYKqsjtwCX+L609RuBoBbamSeNMKVZt+CeaEZMTQxYN9Xm/r19fv59Mzx1bI6t04LZpiNNah7Nmq1fqdcS6mGE7484tTiNrwRK6syWK4PMNJUkiWLTtCFJYjpxLeuU0QyGKd2hpN5X1AKfwK/he5Ps3prw375vnp/+Y7jv6fWkWlqAp4Y4STMm14xCTS2SDANVSDDfB9/LnCslbS5AZu6WAJE9roFxK1fIkkKIIjmks+RQni1OU+d9XUrO1AG21uX5LnCgS/LLcTDqjbjz7gfrOy666Cb5v7HjxN8L4E8+8nkEUeOxh24L0miFMMjrGkBmgE5Vrq0s0LXO37NA19qQehR/ZBXYuQwxBdBNLkfy5xf4blKURVRSYn33DNxKyqxRIpcnUPMhDDT1mqEeWv3cqMdMNCKmmgPmpts8dGDIz713mieOrWPzlGJdUzNZF7RqkkZN0agL6jV7cdhUf8R9ewS9YUBNkV1kVoPnTQipFsSJR7OmuPmqLvc/NUE/tjJlMErpDxTdUBEGisAPMv08xRXbNL/0g+f5iT+Ee/esJ9aSWOusWbrswRwFkjDQlr39so7eU/mdTKaUMi4nqLVAnieFTA7wDPBp4byw5sqrs1hKO+BNU5N97gIdUq0r1Y7n51f4iw99MnjLN7+x8eG//kz/W9/+Df/nAb5w/hhTM1unnnjwY3+AHrzU2k7SfjE5dsVKq7m1s2xZxi6vcq3E2qztAFoXwC6bgt1xEnZptQVFQmbgzoqMVAFwUFnFoO9B4GM7gYKswCpMqWfyolUfMdkaMN3q8OjBET/33mkeO7qejVMe6xqayTo0a4JmXdGoKxoFe6fUwoRWY8idjwWstGtMT5dp8hwwOtOmcapYP6t41fN63Pmgtl00kXZALqn5kprv4XsBnldHSs0V2wzv/sHz/MQfGu7dt55Ye8RZBaAte7VMHsayqC4MPInnZUVYUqC8/NhQfL/8Isylisir0igTQuN37Txq7TwWK28V3G5lZ+q8LuIvp9oxTlJWuoOX7jtw5I9/8J+//UcOHDy6cuklF/2fBXi/c5rRYP4nOsuHvy2N5gkCH6115nsLlDZoObZEaZHp7PwqL6/4XH6khQyhYO9KIDnO3BnS84xcob1lXkFX6u68YtBT2PoMz+D7trG4FmhqQUq9ltCoxTRrI1qNITOTbR7eP+In/3CORw9vYP2Uz/pGymTDZODO2LsmqYeW/WthQiOMSPSIbhQilMTPGbzQ4CJjr8wvjn2awdCWC0Q1pnOQD1P6gWXwMJC2Jt7LN6A1XH2R4Vd+5Bw//vuae/duINYeo1QQpTpjcUEt1oS+IfBt76qXxR2esiXCSsrs+GRd+fmjU5hVXJhurDMG7oKEHGJywV3EVaZ87r6X1+rnrF6uBIITpxZ5cs+Rb7vrnkcORVH8d27m/DsBvLtynObkth1P3vf716Sjk9RCkS0rNsCQUhTMrLQpgxBtso6SvKjHOAAXxYFKtXvAhMMUZVbSuGtmztpuUJkvt1mHjsqCKc/LOoOyIqS8erDmp5lujqnXRkxP9JlsdrlvT8JPvWeORw5vYN2kx7p6ymTN0MrAXa9ZOzEHdz1MqQUJE82IPUcNdzzcJJASX+ksiCs9inz5jlNFoj1e/vyYSy7uceh4nXUNyj7HUUp/mLGwp/A8P5sHY73rq3bAL/3QAj/9h5qvPLWOYVy3ybDE0MhquEMfC3IvX7100dsqVVqscEoKB+DCATmr9EoJclMFeFGhWK68a63MJbtTZfBx18wYNIp9h87w2S8+eM0v/uwP7dh/6OSxy3Zt/YcH+KB7Ej+Yumjh1Ff+l0kW3yzpEgZ+FhxIR3ZYn1Q7r3UO6jSXI2LVkpb7w6bwtMdcklVuScbc4+AWBqlyWzCreVEZa3uGwNP4vib0NWGQUAsSamFEozZiZrLPcrfPXU/CL/3FRh4/OMdcBu6puqFVFzRrovDKrfOiLXsHFuD1cESUpgwHNWrKXmRSiEolX55IsYGmZ7W8N2IUGQaxcACuCYKUwPfwfWmnCki/ADgCrt0p+KUfWeZX/zLh3r2znG5PMGxKplJDKzHUsokDoW8y7z93UkzB3rlUyQFefN/sS7s4LxRidlLyVbUEd1VS2mpOB+wVoOfWb7map9nP5qt9ogWd5QEnzy6/+ZOfvzd9xYuf928PHjl99JKdm/+BAd45QuQ1XthdevKtg84egqBGmqakUjoWX8nY+WvtWklKFJLEglpkS1uesKlKERfg+SF2VWF+Euy4B4pa87wbvxwOZMtifU9nYybSAtxhkIF7psf88oB3/3mDT351HQu9adZNStbVMnDXrO5uZIFlPZQ0QpMxuNXetTACIm5/NGA5DpgNqdRjI6orVJra5oeJ0OOV1/e5b19ENw6ZLDrWNcHI1qoHngW4p2xDtpA2QYOB3dskv/6vOnzmvgG/+L4NnFyYZjDlMRUIWommkUAY29HLgbIDjfw80JSiCILzRzdQdy9MIYpekeL8wJiEdIHtxE/aAb+bxxgHeZ7Aq8hbFPc9coDNmze8dXKi+eed7uDoPyiDx3EPz2tcunj6y/+6t/QIgS9ITZp5qAapbVJHa1n4pAWDZxmwHNCF1i5AnUsQU9pQ46ztypLsQOfMkqebcxdA5QBXBk9aYNveTtvfGfgpgZ9QC2LCIKZVH+B5fe58LOWPPzvBp+9eT6QnWD8hmKtZWWItwNwnV9ldZMztsneM54245+kp+pHHpkb+fcYZPF/dbClpzVfcdMWARFuAD2Jhu9bzzvWRtsGhl82Gyey9fLidQTA3Jfi2V/Rohad532cH3PX0LGfjOv2aZCIxND1jQe5lcYgyWVySNaPI/BiKsnZcgqRk8fEdBQupko+oYFybu91DZe15zujpGsFp6sRkaSZXUg0Ij9vveYoXXH/Zv37Hm178SLvbPzD5NYyEe1aAR/2D9M59HC+Y2pz09r5MMo/v15A6Rcnc4hGkSpCmBmVK5tbalSQle1fkSK61yZIJFWA71oNrXxXDgdwyXJtMkTIf7aazmu8M3MrWYoR+TBDE1PyIRmNIEPT5i9s8fvlP13NofgY/rLGxJZgJUyZCQzOEZtZhXw9ttrOWJYRs/UqarQRWnix0UnpRQKAUgSxr33H+lPzCzms3osSn7g/ZODVgpd9iEIts3JqNFXw/zWw+ldmdygK8Erjaysc3v6THjVfO80t/NuSDn1/HUtKkH/o0fcmEZ2twQg8CRdEM4eVJn2IOjSiywHkCyCWVqlhxgU5lBdamKjVLbT52X2U22Exn3oiRaEhRHD3T4bN373vZfE9vPr/QPvDQnhPccMW2/z2AG5PSWvfai0adR96T9B8mDAyJTm26XRuU1KRaoLRES1NJ5xpTlShGl/UNefBYHASEI0nEmDTJwW1KNsmyb9IFuLTfR1aYO81AnhB4VpKEwYjQH3D0XMIffabJx78yy+Fz00w0fGZqMB2mtEKTpd5zcMsM3LJICtUy7R0G9sKZaI742D0eB47VqWUTuIp2MUqUF2McjNXhceKxewd8441d/vhzs/QaHhPZ7JEwyuIGpfE8mY2twwG575wsuypsn5P81D/rc83Ok/zhp2c4fHaSpaRO3/doKkEjA3ogjb1wMpepWP3y45rbh1h9XmY6zWqfPCemvHSi8M1XW4pFF5FxV/GSsUszIgd71oghPD599z5e9MIr3vM9b3vRG84tdp5VqjwjwJM0Qkmf7sI9WwfLT+xK42WUChEiQQuJ1FZ+KCMzq1CWxTnu80rxDgX4jcveRhQsULJCTtumogNzYNvHfJSyBbd1TXL2TvG9xHbueAlhOCLwRnTTiN/9SMD7PrORU4tTaFVnZlIxExgmA00jY+5Gkb6XWZ1KJk0y77wAd2Czl6M44sDJkF4UMh1mLk6edMpdiTwLm7NTKoljj4mmx86tESoc0o1aDAJBPTaMcoB7aZaoUdbHlnkJ8FrBq2LdZJ8ffnOft778LO/7TIc/+ugsC4MmA69GzVM0PEFdGcLEWDbP+mQ9WZY35FnOVUzOGnJl3GGBaiyVyxCHyFwWz0mwdFAswFNjO4wSDamQzC92uPv+vbvWT4Rbv/k1zz8aRTFB4HOh2zMDfHga402sE9L7SH/5Pt+THoIULTRaZgDP6ofzijOTyxGXxfNiHTMG7AzwJWOLC2QojWMHmgLYFXkisyo5lVqAeymeSgn8mFoQEfgR7WHEPY9L/uK2CT76lVmGaYsgCJgNBFOBphkYGqGhEZTgroWSMJSEmTSxiaHMmcgAHvg283nkjOGuhxpEsU/YNKsCzPxWprPtsYtihe97vOrGLh/6Yo99J5sManY0w8g3BAn4scaPNEpJ61tLgRSyHO5DeTxTLUm0pBF6bJga8OPf2ueK7SM+eFuLB/dMMj9oMlQBvu9R8wR1CWE+YCm3V6XbZuhmiI2TCKqcogqj5wQ17ojlr0vt7QA7D74NJFndi22hg9gIUkB5Hp+6/TH/HW+44SNnF9rPW1zuzf+9GTxsNGUyeOKF8fLnJmt+B5HVBNgvKDFZ72MO8rK8UlbBPSZLinsO7EyiuAxeKfzJJoYjTJbIsaPe8nJPq7sNnkotwFVayBHPi2n3Yu5+UvAnn5vgtocnWWq3kPUarbpiyjdMBJqGb2gEhnpAxtqWueuhpBYoaoGgFpBV6OkM3JrQt/pbeSP2n4RT7ZpNrGT6tpo4KetnbB+kyDSmJIo8NkwILt024InjCf3YZ5TN+A4iLPhUPlk3T9TYsmT3ll88uQ0Zp7Y+/J2vGvC6FyzzpUe6fODzEzy4Z4LFboO2DOgFHoESBFIQSmwPp7S71ClRXqRKZGW/azD4qvqVcSZ3CE3jBJ4ZcIuA0gF43iOaQDGwSQDnuzG/9qdfnvy+t770hbc879LP8QzDg54R4IePngpJ9e8H3cebk7UBWnvZF86APQ7qbDs/931jqkDPO9wrAHcOSIUXKtLE4BboW1miM82tUTK1A/FzN0PGzHcT7nzI47N3t/jkXZOc7zQRtRp+y2fCg0nfdvLUfTLZAfVAZHeZlZxmujsQhDl75wD3EoIgoRZEGBNz+8Mhx87UmZsR+FJnOlaUjb4O2xnHQk1TxWDks2OD4FXX9/n4VyN6sc8gFtR8268aZJOlylVKFX61naNOeVyNsOcob1TQ1m+vhyPe+YoBr7lxkU98pctn7m5w5+MtzrcbDETAIPDwfIUn7EgPX0p8YTKpZVAIRxpW7cM1yLzigpXMLYoANB1j7BzUafGZyRwaA8Z2bBljMGnKoaNPNS/Z/Pzf98WRK4DB3wvgH/38IwRqhRfsOM9N1xrSgUeadXNYMOdAVqVEMbIiS/LX+XuVkwC2d3KNmsBKQOkA2w7otJJEZAD3vJTAi6nVYoajlH2n4OhpxYe/MMnnHpzg/HIT/BrehE9DSVq+oeVp6r6h7kPNt+Cu+XYmoS0zlc5dZJ+bDOS6AHng2/a0Q6c1TxwJwfezZd44KXpRQYEbhNl6aUGS2nHOV+8cceXWHntPNRjUBI1EEMaGkSKz9nTG3rmbkluQpVYpfPYi6aay6QM+w8inXh/xPa8f8aabV7j1oR5/9cUGR0/X2HuqQbQSkoQeQ89DKjvVVwFe9pgzeSFdKIP/VbfCTSlBrSlBrcEBM2hs43Mh2k2aXSWpfZ7a12KQMOuv0PIenaq3vvc7zi+bP14/vdYXeAaA69E+0R/2//Vvv/fX5v7yiw2EN+DGSyICXyA9gY7sGADL3Cpj6JLFq8CWpe5GZKDGeRyDdx6pF5rPJjWsJNHZLg8pYWgnqSZpytlF+MKXPQ6drHPH/XVOLdc5dLoJYYhqeNQ8RdMzND1tXQTfDs6v+XZcmwVxfpfZXWUAJ9PcGbj9lNC37G0vrIgj87DnaANfVu3BQqJQ1oMXjkLupOisrzHxuXLHgEvX93nycEI/8WnFgpEHQWJnAioH4FIKhJQVJodx+00UwWzeRxmnPiM/YKIe8V2vHfGSazqcWu5w+wMBh0+E3Ppwg9OLNdKBj5YecaAQUtqVIuvKl2QZTyhky1ogrwSauFnq3G3JNap27ll/LWlWdaUhMQgvQaqUF1w95Ntf1+P+xx6feslU+8c8NXrfahQ9C8B/+rfuIE2Tb7vtS73m3qNTfPmBBlftjHjZDUOu3JmweUZzyY4YhSCNJJoM7MXYBjmmtTNgOyyes3X1mxknYi9Zu5AiKsUPU+LUcPiE4InDii/c3+DJIwFPH6nTGYWMohD8ADXhEypBQ0HD09QdHzj08jqNvGzW1oWHmSwJAkUQyOwCMKX29lObWfStzq8FMUZHnFuSjEyI50kCafAcm22MwAuQp6ba7xglPgKPdTMRUg3pxT59T1inIy4LxjylKxlImZvUAPmwI0QWI5WtZflgJD9VxfiJ/ihg43TE9g0xz794xCAa8M+PtHnyaMAX7qvxxJEah4/XiBMFocJIBUKSSicbVCQp1tAqFXGe+8D5o3Yex+4ZsD1Sdu2M2TKTsHtnxMtvGHH1xTGXbkk5dOppZsz7EfrCQmTNT/7X+2/lzEJHfeKux8Who9PEacSjhxIeP5hy6/1NJv2U7Vtjrt4d8dobR7zyugiMxveg3jSZzpagBUlsAZ8HkhUGdy95YwFNNr/E9wwIjZCGODL0h5bRj56U/OVtIf1Y8ejTNQ6eCFnoBYzSALwAlI+aUARSUFfQUIaawo4zU1nhkbKsHfjCJj1ccPuSIJMlYQBhQOaa2JS572kCP8kyojH1WsT55ZQv3Nui3Q2ZnhR4mRefF32JCzGbdgJCLRmNFHOzitfdPOTWBwccbzcZ+NLKFA/8xODHuWedeewytXYh7qwT1wzwKiUTaSoJUkXqKRLfjn2IY99aqX5MM4h5ydUJN10x4i0vG7L/hOSxPT6DSPHBLzQ4ctYHIekPPNJI5eWbGC8H+Jhl5KZvKwAHjEakBqENJgN2vZni+xphNK+8fsRrbxxy1eUxO7YmTPowN2HAKOI45JLNitQcEka9SC2f+ptkesvqBuULQn/j7MTvjobJtbFXB88DHaN1ynw/ZT7VHFnS3Ptkyke+kLBuJsFow/WXRbzz1cOigXTdpOa6qyOatWzFMaLIga0+56IYztPuCx573GOxI6nXJPfv8fnUV2oMY8UwVpw5G6CFR2x8tPDB8xChhyclgRLUpKGWATtUhlAZWwPuZZ6vVzJ3kPdlFuBWWY+mKNg78DVBkBdopQV7B0GMUhFffkTx8a+2UIFn7baK/r4wg+deeJrmjodiOPR50y0DPnlPhw/ePkkvqdHMdLif6/A4T8qYoltICFkAzP4q6Wh9B+A6G+3gWSb3PUXieXhJaoGuUpSyg/Snawm3XJ5w8+UxRox4+yv6DGM7zu1vvxLywJ6AeihY6CgeezKg05eZShJcUJQXO0/Y1sDrrouZm0ptRjzVvPPVQ667NMZoWDetmZkyeNiVIk0Vo4GdpJBqOxIuMfG19drM7wI//DUx+OJyh5mp1sQv/s4nL0/jyO40SghC2V40ZfWR1ikjrTnX1pxbsUNj9h9v8Kkv2yvRpIbJac0Lr41o1W0d8JrpSfdSz1yHlZ7iwScCOm2F9KSdiWI8y0zCw84F9kB6SCnxpbBgloZQagJpgRAoCFQ5o8+CXJQND55tBMgbj11wW4bPymr9nMFT554QejHGRJxaCIhGNcJJSZClvVVWlVfJYgpK8nKs06I7XSui2Ge6pdg2FxGIIYMkZJAI6p4dgpnXkOQJLSXd8lZZ/K7c7bKuli6zp1pnzSelNEqSNMsbqGwue0KcpKjY5hI8lSJlwtY5na0Ymiu2D4nMAOlp2m3Bg094rPQlqlAs1aC6cqazYqxmTXPTtTGT0xqT2JW9ruyxszLXQyf2/JeuncyMDpVNEE5Vkgwun9v+HRNx1O74QXWu4SqAHzqxQHB2+VfuefzIK5bafUKliA1o44PxKCYgyTHNhCYxhna+BClNZ8Vw5stN509cC+CufstOjhDofMsFsppTocogR8rMyspBnaWdJdnGrblv7Dx6WSe9Itt6jwLctq1LEWTgDjyKElPL4BmLe5ogy476fkwYxpxY0PzZrU3wAjtjUToJngr4qkSWs2s+JNSCzZ64KPb5ztcN+MSdA54+16KX+jQSuymtrQI0ZSeOynMCbrCXly7mUkg6BV75XRe1MJ6n8FM7L8XPgK5kmTSzdePZc6GzwUEpnjAIkzLX0HzDizWINJOZgMj3z1jjnBc1RgK0Io098nksSSyJEUWexVSsZlnYn0Wsl3ZJ+ntfEQ2O/Aom+dFnZfBfet9tSCmCh/afRRtBqMAzeSYpd0dcf9KJgiHXIvZ9ZUh9B9xr4jtntxzg1eBFSFm0oCkBvrBp5VDYakFf2teeJKupyLrH80IiD2cOCtnObGVXfQlwWciWMDBFS1sQaGdwToKfsXfgxUgZceysYL5TQ3geoaQiT6T7Zzmn25UOFeBlTkeU+MxOjNixccDesyMGqccwhTAV+KnBTzIdnlA4S2UKXVU6FfLYzibk8jpr4UgjjZdqUiVRXr59ucqK1ey2MkqWdyE1KgO5yH83dkqWkKZwvXKg5w7YWgAvk3tlXOaaEq6nb4Nm4eRa7M8JqRHJYaLFvwzWUgirAP7YnmMIAYP+oMjGAQR5ximP/t00LLn6yIHvUtUzyRKyrhynsF4IJGWK2E6lAl8YfJGBNpMA+fPivYzsy1JQigbbQAkL9gq4pX0McqDnwWcG7rz7x9OFRPE9q0+DICYh5jP31Dk3X8efVARuDYfroDCmSN3UtVN9mSd9hiM7wfaNL+pxz+NDOkmNvudRTzRRlk5XsiyIygvO7EZe+W/KA828ajO3DrOZKgZbAaoFnhYkSuClMtvFztbyJBnQy2SaLhJsUmon8ZY9ly64M5u32CvmAuffKbSjMCEuBHS3zENmo/kgSQZE/YNrEmgF4H/yoduYatVe/Id/9ZUb+4srpJ7r8mQ6DlHWDEAl9Vp8IZ5945VCkOTJAgEqfxQGDwqrTWUpYzvfpNS4Kgd2PtAzkycusIs5KArbj7gWwPOAM9fdXi5LTKa3q7XkgR8T+BFn25qHD9bBC/AyeeI5BUp5tk+MIdweJ6fqrigVlYUnHsc+118yYnZqQHu5QT9RNBT4if1bVGoHKKnYBTgW5MUvkmOVmiLrm8xqh5StBPW1IFWSVGlSJUgykLvFa3k5hMxB7oA6L5kQ6AzkZCXNeSa6TNpVijEq9SsumzvfmTFg41rNNsEVJ5KR3nhjfe4NLz516B13b9n1xrUBPhzGGGO+ISC9TqURoe9l8/7Kqj+N046UH8e8SoySsDWsEVxQZicdgNvdhcmSB9WRa8oBec5YnjNfXImy1NM2F+edKlaWqKJ7pQR23nxr2TvT3B6F3s4tQcvYJbj9ojoxRhDz6a+E3PNkCxl6BFLY+dtFBWHZRldW/I1nM6uFadYTV6RaMRj63HzVgG98SZc/+nSLKA3ppZJaahglZCuXW/WnMzmnxy6oCzE5aE9mvZCiAHeqJEppy+hSZqMltFOK7NYAmRLklWxzzuT5Iu3IVLGazN2Re2UNy5hsqWTBKTAJgiRJ8KW4rq5734CJ716TwfccPMXMVPN17/vQF//ZsdML1HyJVDkzm0pgVAA4+6XaSUe6isRQuV6zP9Zh8AzcOQCkAwpJWfPgjjbImdtuQZK/JmNwijasCotn3TC+qoLbjlMYY+6sZzPI2tt8L284SJx7TETMX90+QWpCVJG9dAPMsq8xdzYqGpyxdj0t7XSoNA82PQQ+73xlnz//zIgVHTNIawxSgZ9QsLiUBpmIoujM2oXj66ektCaFA3JB6mWjG1QGcs+gtJUrdsyerWC02WNZlCaXFqVb3VmWMRdNKQXQS6myGuDVtb2sTxLO5+UqVH0v24J9dA6hl//Zuu3fcMewd/zWWnN7FeBJFDEaepf0ur1dnU6Hei0gL14f/yU5wKHcks8F8zPdhHCY3JEnBdDHyjMLLT6mOXPQu7M9lBKlFs8q7irDbjJge0qUTkphB9qOe9uYbDLmLgNMz2Hv0I94+KDkwOkaRvkoKQmkxhuv03AE+LiLkt+LTictHL/agjxOfHZtjrny4h5f3V8nVgGDRFCT4KcGLxGZfMu6cJJMhyOtXKj8SuGwuHCkkdNgkM2E9JQuZkiqTPqV4M5rgUxWJpAzOcXqIRxwI/KJWWuz91o3t/DOLaPOnxdhXpEwlAwHfUajwa40Hl2SJsmtqxj87Pwyvf6Q4WBAoKwFVzkfeRA5Vv1XNQCf6euXP+GWW4pxoDvgVkXNd2m7lZJF2O55UYLbBpmi6Bb3CnDLCsDd4T+2254C2EW2smDulMCziR3bFRRjiPnr2xssLtYRoWd9d/ciHK9BKcmpshLmzbduHXfhTWtFHHvMzUje8aouDx+cYJTW6KuAemq1eF7OqiQZuPO1QmeeuBsNOdnk/Hdm8x7djnZ7lyidr0imeC6LbdUzDS7z/Y5yaSLL5ohxBh9rWinTfWtbx1Wclep9nGgLRteKaDRkOFggTYbFv1QA/Pfe9wmUlMwvrtAIFVJVcLlmCaT7/lqvVn9tnArBNR5dQLssXhkvVjK2dBlcCYfFc7kiUV4V4IGXDQDy860DswynZ/CLVLzOnqeVu6ds587Tx+Ajt7UYyQAlVZa9rF6I4xnMVcuyczyrOjzT4qkiST3C1OMdrx3yJ5/r8/jhOrHy6UtJkOrMPRLI1DjHydj2MuGuqdl6O7ZvkcvkqQavsBDtaGuVlQSo1JTDOou5LKK4oJMxPW7Pp1ssh8PkOciffb03DrDHC/Nc4NufDVia30+/ew5j0irAjx47xY7tmxs//p9/b+fCwgKBZ/+Q/AQUjqb7ncZs7VUB5fhrMf58tfa+sEQRBXDGxyFLh7HzIDOf2uR5+SavmfZWY+DO0/d+3pis7cyQokUs7+lMsnuM8iMOnPLoRgEoL5MnZqw8dvzCrR6Q6kCjMS8868YpEz8eTV9w+ZYhjx+ISHXIQAfUUluz7WUaXAm7katNLOVsqcmDzJLJy0rPvMPdKwab2vfygameJusgMkhdTgjIp2uleXd/YQCUwWUReI6d7xwtqxomKi7TWjgT1ddFbVP2HxiBRlNvrdt5zS3/stFefld/cnqzBfixE2dYXFp57UXbZn/iwYeHhL5czdhOoOmeKHeVuVBAWbwnqp8JbD7HBUIJ7LKPUTmsqCpDNXOQU9ZIKwfUxfMsyaPIvHALbgvgciiQ78oTl71V1tcZRCx1Nb/9Ny0WBzVE6Ft5Ik1lVSkH5zyLaCtqjkS284rL4NZRSRKPiYbHu97W5UsPT7A4Coikx0BKgqyHshz5kDG4W08vdFFGa61eiTEag6TqrIiMwU0RpOdgV1JkDG4lUVq4KBQypdThZTthKVPywLO0CivHZmyVWxvgzmdmtYTRxqCjhJlNG37i/Ol9dyfx4BOQMfjDjz5NLQw4fPg4khTfl4U+LC6Qsd/8bPmb/Bu7J7g62HGMtSnT2nZO3rhEqQ6mKYAtBVKV48eUA2pPSrxMkngFwHPNrYug0vd0AW7fy+svquztq5ggiPjw7T5PHaqD9JFSEualsY61WewRn/2RF6wmpGTzYqcKR6YkWmabPPlcvavPm1/S4U8+V0N7IQMZEEpRJH2UFMROQDfO5MJl8jH7rZAqCpSxq4I2woI7nxKWDVMtx0qUs2jKybS2j1PIqjwpnJUKBsrXX8ttNf6Ew+RWfkVRzML5E2jjkyQjCoDXQp9aLSAI7H6OnhRoYZyskuOmZN/NXCg+cIHtuCX27bww36waKFPxjIvAUpRsXjDkswFclgAvEj05wI2dk51JEV+VbonvDAcqNbdlb9+zU6uW25q//XKLhXYItcw9EU4wdgGJghBVJnfimFW2XdHTKtFp7qZ4TE8ovukVfT55z5DFXkikPAapzOxJkbk3omzGluOJFcve+Vu6YPOyN9LLnRWVPc/GXutsHHZ+3F2Qi2znvEJKZvLErs6uHhdjckVUAS4MwlwA7aI0OaoBp3BIwtbVIDyE9JHSSjLviaf2Mzc3fdEddz3wY6dOnSEMPMuezkiH0o75uzF3fg1UTrYD9OpdrC1R8sRJBdjV2d9uh4sd7k4V3PnOBjlzK4e5VzF4Pm6iHDnhKZu5PHJUsP9YDU2IkF7RnFtWD7rxg3BcjfKPd2tRSiYXjjwRhZNRtJulHhiP3Tsidm0asri3jkkDy+KplSme4+KU7OkWemWCOy+jhaxQTjjBJ2hZzo10Yxul7UWjs507ioSWLMmoALcW2SyVXJOLMakixvBgihdryZTyPbHKUSlXIlv7vrJ8jg2bd//YrstvefT8mQNHPWM00SjaKDGvW15ewg9C20aUpeBXlZaMM9EaF924czA+SyMHtJvKrrzn9DKWzoRwgs0S0JbByUYBuz64e8+2tFYuuB2QZ/vV+1lpaM7eKnvteTFKxXzmqy0OLNQhKOWJ71iXlQuW1eMixm/VMWdO1Zy7u1leRht5XDwX8cab+zzwdAO0T5JaLe6nWXY3rUqlkjndYCkDuTGORHHkisyey2xVkfldZNvSmGLccqpsUak9L6YgpjLh4z7PWNppbyvaXlxwP4vrVHVRSttTG8AolpdXiBJeN4qijUlqjnrFpZvvQixze8YUG5e6v+VZCdwNJDM0X9AezA8CVa1dyhRRlIGOA7tgcyWcJlwH3Nl8wnLbDlYD2ysHBBUj3jydgTyx8kTF1BsRX92n+MSXmwyGATQ8PCnwRVWajH9/929eE+AFyB2ZYsYSPhnI48RjsuXxlpcP+dw9fe7fF2CaPoM0JBAUF5oqfn+pg521tAC5u+WUDT6zC0xZNk+l1ePaYe08qNf51idaOPpbOIFuNYYqdXcZF9j3xBjQV7P2KoA75FBkNx2cluNJ7DhnbxTFDKOYKE4x2JNUZJHWAPX40rEWiY9bgqsBPi5RqhNNy+BSFKAp5uUpZ/cGJbLalBLcJcjzslmD55UjlL1sEyZPVYHuF2xt70rZADMIIuIo5XP3Nnj6eAN8HyFVBqpsbogTXApZPanjrlFBFDlr5rU9TiZTm3zbPll44mnqEUUeV2xPeP2Lejx2tM4oCUilz0ArgpSx75J74YwxuH00Y98FlV9sGq0EKgeKFBgF0pR6vFhRJUjtzDLU5aohxwE+HpcwBvy/Q6ZzFcgdnFpVkGB0jNEx3sc+8Rk8pVhpd6iHHkpmB2CspuRZqXsNxwRE5cSu0tysBeqcsd0As9yBoJQmjlVYMHYO8HJyaiFRMua2jG0KpvaKx/K5nwWXnooJg4gnjwluvadBfxBA00eKvHIQxx5cI4vp/J0uL+W1KHnQVB0kP5bwcQqwotin1Yp4/S0jPnnnkMcOh+AFDLUkyLS40rbpypUGIqWQB6Rj3q4qnRxPUUoXadk8X1XyIF8bC3apy0Sb0K6bkp1zXTL7eI5jFcDHQF85Whda/cYcvZLRffbvfYzjRw+hdYrX6ywjpSCOYmphmeka/0fGMb7W713T9y6+uKhcwWuyuHTA7mruAuRWb7vZTKWyCsOsotC2c2XPPXc++Bi4s7ufT6HNCvw9ldi7F+P7MYlJ+fTdde56sg41D6RtaPadEt5Kaax7d19c4CRV56ELp6ncOiqplhWgj4Y+L7u6zxtf3OepYzWSxMcIxUB4+CnFdxJpyeLlV1ibycvfb1AqZ27L5va1QGpR6PDC788ZPV9tMwYvhnaOgbsScFZAXroqa+FoXCWsJVfy45emkmihj1SRlSiNus3GSWEYDbOdGbL/6msxTFZfbWIVY5fP7QvpAtxp63J3FqgAuyJV3DS9c1dj4FbO3Ss3Qc0B7Tugzp0T65jYR6ViAj/m0aOSj9zeAgKQPkKoootIZRupyjF2yv+e/LSI4pg4pyo/KbjM7WhwI+yOGCob/VDsE+9hjMc7XzngC/cOefCQnSQQa0U/FVnBVwa6NAeOUwdSgYldPVBVVyL/VGWg1zLbzycPinPtLTM2F/axOIfaGdgpnYu/kgArJUl5vJ450LyQq5ErDG0gTuwxREowBi+KbdFMnFjfUEiBNPbbfg2qpPL7hPOe63OWGtyZsjqmu0upIrJkQWk95QAv5uS5IM+6jsrNpuzODuUA/BLcFdZ2HvPG2lyqKJXg+wlxmnDH/XWeOFgH3wdpg8tAGGdyrBtYiVWB1bg8yU+IcZ4UDRBOjUilujCVaJU5KqnHKPK5ateQl73QsvggtSw+EgFDDV4qysAvze1CC6hSotgvUEnmOdalkmCUQRqBMtjspxEIIzDC2siFVHGCypK9s/Oq3Qvfmeu+Rh7EHqUxLS7WPoarQG7Ky9j3LS4w4Nn6BYgTuz+l1b7PHMPmgUH5WlS+iGvmF585f1hhX405JtU9YsbqTwTF3jvF7sV5822l4aHcukSpMXA7Q/EL90SlKM8BeCZRAi/mwBnBBz7XYhT70PAzeULRmqbcXYJd56QSVV/gvJgq0N1l1t0cQJu1tLhHM5R89+v7fPquJvtO2Ysv1Yp+qmyVYZolfxBWf6fZWI4xJjQ50B2Ay8KFsJLQGBtMGmnPkZHCAlw7sVLO5NqNpdZY2RxAux69S4IXBvhqhhXVl0hhy599z842VO/+pf+5Aan+x5Ejx3YLJygoHYGSVSuSQeSNwI58cD5X0nE7ZP5z1bvKlz4psjJMkc3Dc1yRsXs+MsH1uItHr9Td1kGpgtvdq6cspsp2f/DiopnB9yJSGfEnn2rw57dOQRiCqqGUR0MZ6spk4ygoGpx9pzWuzKS6iShJORmWSoBaxhKl7ZhftEKSNf6WvZBKGoTRbNsYcWpB8tATAYmwkwe0UAhhS2nXintWMaJxuVFUVpXiQjT5ZVDwfnlBQsWqczu71ry7/43jJhVTiKk+ul1I4/9d+f2chGLWk3vlVddufP4NN3/RO37ixFS323lDFEU06n5l/EBVF104CCg1k6OlXAvIeV4mAFz3ZKwGxWXtSh24qWhvWYChlCTK0d6q2OnB2YhKmTFJklcK5uwd43sx+09LPvSlBnb+imXvonM///2Cynhh6fzdbqAp3BcFgMbAod3akHKuoA08s6ymkehUkapMi6ce3/qqPh+/o8Gekz7ICCMkw9THI6sXyY91miEizRM/OVQd6WRMVqFX5kBMwegZSxsrW3LdLY39HUZn/rjOAtTK6lxl8zWlSeVCdNlZrMnUxpWA+Q7NmZyNoohur/eG02dOTXlpEoFO8D1noOM4wF1AXwjoeYBZ+cL5l3Oj6TFZ4upYWX3uAtx2keT623meAzmvdss1uANuO5FVZ4/WDlRKo3K/WyUomaAyeZKqhE/d3WTPgVJ7SyGt91100LDmCcyXyYrWHFMp1bxCtQG54ok7E6k8LWxtiixT+FHsccUlI9704h6HPhQSpQqERyo8BkLgpZl9l5MPuaMicPm4CIEzvWSMQJmy4MhI+x2Vy7rClCl+AVpa4Otcpjg+uAt2F8irwO4Ce5XkXfu5S6JaGBS2tn0wSPCDCK9SfaekU74qVjO18xvGwb9ah7t20PgfuDoRsHZzQ5W189c5a+dgz5m7ALpymbzU3SoPIvMtTqTGk+XQfKVSfD/m8BnF731sgqH0ySdolV3z2Qri1kC7erKy7F34Vhkpk3nheQtbmbJ3Nbio1Kek2iNJfcI04Uff2uNv7mhw6LQHKgbtEQufgRCotHQ0pBtsjoE89+YN4OUXXPaeNDY9bzAZa+eeuK6wucl+j5YCYcrVY7WZkAHfAbIL9rXAfUGfPH9PYBv1pKV3O6pb4uWd5r5vmwKKK8L5FyoBwNgXcJcS9wrN/41VwUV2Aa3FgC6wxRhr54mUKrh1KVFklcG9ir+dgbnidzt3aVnc9yI6keaPPjnBqfMhKC+zBmUmT0zF9y6eQ/UCLlipmuhaE+i42jJvPHB7NHMNKot70QwhFWnisWXdiB98c5df+kBAO7YBgTGSkVbWNkzz72EgFZQKuwR5+f/2E5Vdhdn8pvJRlo6PlKZkcOOcu8wyNAWDXyDgdECrHaCumQBaE4/Vn9GAyKRdnNi7Z3cwsBssKSUZv7n/cAFx4b7vyBlnuXEBnrcq2X0Xq0AYZ+4c2CVrl1NaC/bOCu5LQDtM7umM0XUhTawc0Y5UyRk7KR49FeOFMR/9dMh7/nqCkfatPBGqkCdFU/GYJVbR3YUkG1eNa7N4jqvSKnRBn6fsTbbJl1NKm7kqifaoeQk//PYe+48FvO9TVouDIhWSobYBp0wpGLwswMpPlttcXtqVFtSlZDEmY3NRFopZ0rGlrqaS+LEypqhLz/CgXZKrYEZU8YMD9LFF8UKSJb9FEQxGhlpk8Jp1wahudxEzWZXZswJ8DOTFF3S+1GoraHVtwurCHDMmUYwTZGZbdLtbBirXddCOVMnB7DC5LKsDC91dPNpZg0vL8DdfarA8ysFtAe5Lq709UZUnlVUnt8vWOCEuvl2tnYPcTVRU5Qnl1ot6rE5cSpRWaO2RpB6TQcpbX93n43c3WOwqkDFoRYzV4+PVhWLVWV6byW0eqEwK5fUpebBpMhYvAJ355Nowxtj2fCKEZXgyKQPlBbcGlipMPcbcawFcGxiONP2BJqileNmArOKXu8b/WsuCC/NxXSTHQS9Xg31VQOa2PRWAcUZESFPR3qWVtjqozIfTlOBOKwFmHmTm+9x4Dnv7jYRPf7nG/U/U0Y72tk0NuTyp1psUrVkOe7uev2uFr03iGXsWVlcpUcabIYwbdBqJMqUvnqQ+nk646eqIb3xBnz/7TAAqAiExQjDSHkoIuwVJHmiKEtTjcqVocjHWrs2ZPa80NSYLPCkBr42pMrexF7xxMKBzEsvZ2uSflZbmBZlbrMbdWgB3V0AAb7GtWeqkDEeGWs0yUf6PrqL/ZxL/Y1fcOIPnMiUvii+kyhhjCzHG3qIK7NJFyV4rg5eNGJMyc0ykyXS1I0lyx0Q6EkVa9yT0Yw4dl3zg0y3OdgO737W0g96VoNyxYSxeWKW7Xd95DfYev1USPQ6zr9pqMd+CsdJ1b/fPsY92+5MNzZTv+cYedz8RcuicBBEDCo1kKKSziZQFVQ5qUbkKS5lU/H+RzczOg8vmwj7PwZzLlnwltp/ls98ztyN/nvdmivI5F2JzYHWbm/tZji+7Dc3MhGR2UuVjI+y/5jobq87PGlfNKr3kPHcBjcBZIqu6O1+6igNf1Fc7zK1ywI+BvJiRPf48LbR3zuJePg5YJSiZ4mW2YBDEjFLNH3x4grsezob9S89qbylt144o568U3zVfWdyLeQ0mdw+fi/XVGczStSj3eHfLZ90yWttupnNHJdUk0kMlHi97fsQPvbPDz/9BwCiRNgOlJUnmqkgtnO9mQV4Z4WBsSxrO97OvhRMbZL0DBow0WYApigugCDqLi95U6lVExt5uQLnKE1+DTFepiaykpHJcpY018iPuNeqKaGj3g/S9sX/QOSmGKrAvFBC4j/ZnzKri95IF3cE+a7C3s/+8XEueSFN0e9tts7UjUZyxv7nuzmZcF8GlTPCDhNsf9Pn4XQ1GkQ91r9DeBXsXgS2V+1revnsS7H3tpmO3zj4HdikNyuIro/Iqw2qteKrtRrzKAXqSeNQbCW992YDb7hrwhQeVtQ2RICSx8BjgSMncG3fkit1tpqrJ7d2pS5HZ95Sgsr8vf20yaZIDPT+/Rtg+37LQzhQSdhXQHXyRtd6tJZXzBmGHx+0YujSlOzCEA4NXD2EUQj206eGvqcBqjS+1CuQZKxQpf9ZmceHqbddblo5jkevfYj91+7rQ3sUk1BLYnhoDuirB7WXgDvyYlZ7h03c32HemZqWJsCWxItfeAmeClFkF7uJiLf5+4QBd8Gw364WLwpIbT2EX4F41HKisUZFSIXWK1B7xyOOyjTHf+JIe9+8JaEdZ+lVbPR6hyPeBkGTeeKWMtjzBBpvcKS5Iad0WlbW0lWyeS5Us4SOyGvIC6KI47xpnVTclw48DfVwOi2c9lOV3j6KU4ShlGKV4+fDJMMi+gJvnvxDIx5ePnKkvoL9zDzbfdrq02KrJkjLALIFdgjv3wcvgUhaD2U2FsSsBZZ7IcV0UaTvlNSl/+pk67/lYCyM863tX2JtSe8s1vrfz9xUMI3JmHGeE6rmoVO/hyJRCf+dMvrqVLd90V2uNTiVaWl9cSU2c+kil+eG39Dl42uc9H/eIkxLkGsFISJTOB0nkWsEBeQHqDIVANvkt+5tM0QtZAF1YIMv8PxO5VClHTORWocnAbhxwl6ugqR7HTIq4RPpMZGEMRLEmijVxbPBMNp3fV3bsVlrURIwBfZUmMhdg7iqoVzsoY2PGXKnieNw5s5cz8TLve8wxkTm41Zg8GduzXmV7z1gNHuMHMQfPSj5+R5Nez4e6Ws3eRc23s7qIMsFTkWRjz/OT82zEY0oN4MiBXIuLintisqaDAuiy3LtGS6vFpfSI45RWM+EtL+/zua/UOXgmSyrYAdWkQjCwa439jjoDtynBbgpQZ24JWfKHfMHJnZQ8dW/ZW2VgLeVJFei5pJMOhioxjJNJr1YZUvzfqsXRZLsiZxIvSU02d9HghUFAGCg8r/yPdBbx5IHQ2lbhBVyTtb50DuIiMeIyoKnIE1HMvivdkwLcOXMLdzB77pzoynYb0pElUmaOScbknpcwijW33dfkS4/U7XBw6VuAj7F3XuSlhKASDOMGUWNM/jUtqZXzUwW6c9c6yx7mTkq2FYnV3bqUKVqSColKJVoo4pHHq6+LePVNA0581mekrQ7PKqFI8BgKkNrZtipfwkW5+7QqznbuqGS14oIC+EaIkuyNPae252Ac6GVGVReytZyVIwS2rFfk38cJSDOgFbsqG+dbObFLqi3AlfIIggBvy+YtK8IMP9eo+988HGU1v88gU9byd1cBmxLIa7J3AWac5SsHvcPYBbBzoJdlo1XnpKq/VZF+T53nCVLaTh0ZJNz5YMAvv3+S1HilcyIVQki7D5Ao0/JVBncdn7XZ+2tIYpbIzhmQcZliKnJFk0+9yoqxROmoFJpcWm9caI8k0QRByk9+b4d9Jz3ufECiA5FB1v4BsVYMSk7MkJIjdQ1NXnjh2Wqbf98soMx1uMguAE05SsK4eIDSJ1/VBOF03bsJnzXZvLoSGgNpapAqoF5vfW7Llm0r6qbrt/SWl+cPac0PxXHi/AuMWXnVrGMeCK5Z+ZcHY2p1wZRbJFWm3nM7sEzFq/HqQCegLAqqLgBuV6p4lYSO7bU8uST45Q9McvcjTbspj7TtaEgfTwrqEkJJtsmVWV27XblnDdDFkJzqMKK85l2qsYZp57iVr4Vz0ZvVxzUnA2cOoBiXeu5nBuZmE0LPcP/jASsDp7YgCzPzKeJlxaE98aIC/K/lanUuBAd0VbfI6RIz5c+Oj35wh/tUlESm+ysxzNhrYzS1sMb5hYXveeLJp/d5g5Gtm0gSW5ZZZCVlDnI32zXmmIwFl+N+t5uitfrKVNi84idXtsWoShO5hubOdxhY867cwDIrhc2ep0HKBz45ySe+3MTUFHb/T6u/hZSVfsuyv/EZOuZd9hnPIzu4GJOMYyWzVUDY59Vu+/EOH53NDzQZcxujyxoVIZFakQoPOUh56ysGPH3Y51fe6xGFibMMC4z2GZGVSOf59dSa2AbjgNJqAkOW3dSmwGIRbOaMjGVzaw+WC0J+/o3I3SZnhU9z/GQsbpyvmT8vMp/lcSqt68wZksLu3OHbi8HTxn5kd/iyHSrCacPKwS2Fe7KqoK7IEdYCuRmTKK5zYhgfwVsBe+53iwzgjvauMLhMHSfFBXeKdGpPvvBAyPs/22SYZlPwRW4NZllLYSrae83UvAt092IfDzwrYF+b/UwW3OXe86qMJmZVCa2RTmZTOs6KUDa4kllxltSk2iP0Nd/7xh73PhbwhUesXZh740iBNh4jbdvRiiKSceswQ2pBmkKgyKWJA/K86cHR3PnP5EC1RXemQhJ5nsW4MkaIghwqxkZuL1LkesjHYhQrqrTxi7e4kg0LN7oYUikpgVgB9FiwWbkC3ffGQZ6n5tdyTnKAu/agC25R7uylVulwXfXAx9lbpmWA6cX0R/CLfzzJ4VMhxit3S65o71wiVYA9BmjWAHMBYfcgjaO8CvLKCGCoLte4xVeuHl9dm6JlVnEoXRZXiFQjhIeMNBdvifnZ729z738K6Q6zP0bL4nuleAzzYC4v7tYlyI0EdAZqQ+GwqCygNJKsKykDc1aTUiZ5nJxB/jMVDInyAoBVpFlkLIvX1QlZeR7Ck4JWw24Br7XBm5icQQhFHPVIowXcYfMVFl/jSrqwc1LOjK7IlDE2r4zeXVOiaMcHd/oSMzYvmLvimji782aet+fFJCn8zkdbPLK3Zj1vmTN36Zz4oipLlKiydiUWGWNuHBapDvup8vXq6IiKc1I2QFAWM+Xzrx2fXOeBZu6wiFy6ZN64yO5pJlW05vrdMe/6ljb/68NTRGnG4lBEhSmKkc6X+yzX7oC8kCjCyXIKu0GvcdlcgtAlc0tZZhtFBdyrDYg8+CxS+S7Y1wB64Z1n5yDRMDExwezMJEmS4H3DG99Ard7g6OGneOirn8P3gmq0W5xAUz2pq1wT+0ssU49NOa3IE1d7uxsYVWVJKVOq+zOW7J2WutxN6lTuWWBZS/nifSHv+2iL9sC3HmDmeZM16VrnpMxaukG1qnzv1fq7dJWqU6zK/dXGAD3G2qvwXgG6cZwVl7WzqbC5JHGTQMLaiKlUSKNtvUqimKhpfuDtfR56KuS2rypoJBlTZ99QChItGZLHFCXIDbY0lsK2tJ53Fqvast5cwuhcbpTyJWd0y+BVa9WMAT13LMfBLnPmLmRKdpSLBccwTGIu2/08nn/dNXS6PbxaqAhDj3ooqIdW45riFK3laY+xegX4Zk39XU3mOHpbmKoP7oC6sl2dKHfYtQBPq363tFagLPZVt4GllAnSS9h71OP3PjLBwcUgCzIsa9tHWbK30/BcAfla8qQiTcamNa1WI1WVsspdcFm8TKwUjRCslcYfGxKUF2IZXWwqK3KpIgxCesjYsGsm4Uff0eXoWY8DpwTGcwWWAOmTZiBnDOR5xKcK6ZX53ZCxuCgCzVzeFiw+Jl0sZ1bnyBSNxDLX606wmdWZF2DPLxwH8MbAYGg3t5XKQ0iFFwSawDPUa5pmPSFOnS2/ywu7aryPA79g/LUliStXyp0AXP+7uomRymRIyeSO7lY6ez2ezCmBrlSKlAlBmHC2LfjF907w8dsbGF+V6fhMmqzF3sq5AFc7JyW410rquIxe6vAq4CusPQb2/L3VNSmuDs8B7QageeePzIqa8udZ8JlqEjS+tK5KeyT5iV9XnFsRELp0KzB4BZOX8iS70PLHjLWVBKMz+VK4KSILMqtMLqR1S4zT4GKKehTn2KalqVHBWCFbRBFcVioMDPSGhmFkpUpix9cpPD88a4y6NajNYXRaYdUyVU7lebWyr1qj7abXcw87dz2k+7lwEzam6pCo0hos6k7yisExz1vmwaRKsue21iRC86l76nzxgUZWa5JbgjJj8Jy9y12D3XmDrluyqizW0eLuiRhn7gL8ayXO3FoUF9DkzC3KwM0pn8gdFFePpzpP/DipfSPRRmXv2edJ4iGM5LUvGPKmF/UJRAJJAjq/x2ASm/I2MNQw0oJIQ6wFiYGkGNJvgZRqYR+NuxVhtltFFhSnWVa2eNSQpvnOFllqXZd7d6bu46p73rda/ns2i6nZsnEW35e31sLwrFIKObv+Mh66/ytHVzrpb/v1TSRpWsoNN1XuWHZ5H2T5vq4AvwS2zjYq1ZSJHY1bMFWVGtq5QNz3HHDn20kX1YFpxTmRWZ13IjSfvKPOr/zxBCcXfAiUZW4nsBQZuIus5VhFYyWOqMw+ERUAF4ye/78rVSqYF6uAvmbC2AFzua9lKUkKwOcTsLR0GiMkRpc1KjbFbzt/dGpb3OKRYtus5ie+v8ObX9HHFxm4jQN0k2C0tiA3EBkL8iQDc6IFiSmBnlaeu2DPd48rwVr5Oe2C2GRbi5fA1ab681WQG4w2xdgNnaZccvEmfJn89u23f/nodddcZhse4iTGINAZuAsHxdHcFdkx9n5ZGmsKD73Q4pS6u+p7uxq83Fi0lCaZTFGlayIdKZKDWzoBZW4J+n7KkQXJ+z7WZN+hEFqqALVN7FjtnUuTos+ScY+etTvmnWAzD8fy6N5l9NVMXrooayV7LGvrsYRP6aLIImNXTd9LYUEuhSm8cZEze1ZPIIS2U6+M9cbjkWH3rpjvfWuXB54IODrvLFVF0GllSIJgKGxwSTbCzWi3DqXU5UWNSlX1IEReYlvqall8Rl7aXfHCDY58oRpsFpZiJlNE9m8nSUoURcRxDGSbUF2083J8v0bNjxl2D2KyBO5qPb2W3r6A7sYBeq6vHT3u7m0uK5pbl1pcaOczTVk45ciS4j3L3p5KWeoKfvPPJ7jjkVpZJZhnLDNwK0m2Q7E7Brm8gJVw//6x4PICwB+3wL/Wm9tdX6kqrKSgs7S2toDS2WxAIxzwO5lOKQxaGIS2x1kLZV8LZS8joUn7mldcN+JffWeH//bHUywPnKDLZECXYLRHIkXhoOQgR1sgkwM+Iwv7HW2NSv735Zo6T/7YAa+rnZQcyMXqaVYP7CxcFwfkpJpEK7Zu2cbzrrmabn+QX6MwO7uBLdsvv63fX/hlz6+R125XpYRzF2aV5lZrSRnpAtPR1GOWX6GrleuWjHXlrKoOzJ8nlYTOUBr+4GNN3vvRFt3Yt5mrnLkz18TO7iudk0pRFeWBHs9eVph6TTBX51x/LUgf764vgJx/5rotjl1YShbXQhyfTGulSt7elg/w1Kbcg7PlwQ+9vcsPv7VLXSeg00yqpGBiR65YTT7KNHmc3RMjiHOJYjItXsgPR5uPyZFco6cGtFmts9eSMampavXiv810fKNe48y5hV+++urdt23ZtLEE+OTMZj7xV7/cX1paOaKNj6AcT1Z0sYwDuAgcWQ3+nHHHOt6rF4AbMLoypVryKnNAqzT7PE/kVJlbygR8zdOHfP7ytgadOJuMSQ5srwgwBZk0Ke6m2gM6FkwWJprzXiE7xOr3K9WWXwPSy3a1McswDzRd7V1cBE5Tsqu/V3X+uIGnsvpcK7RRGK1IYkXLM3z7a3tccekImbp63AV7WoLcYIPODNyJyXV5BurxYFOzWoObsc/dgNKsBrsbgGoH6O5/U6/5dNrLR/7DT/5if8eOLSXAAW68+Ru46SVvYeu2SxAkVbdjnK2VGWPgscIo5TgfTiCq1mD2cTBXgV1eBNKVJ2uk4j0/5anDPu/6pWmeOBBifFnKkoLBpWMLmmKQz/hODWtZg2vJlEpiJ19CXYR/rXLFVJ9WffFxu7DcgruyiavTt1kMDDKy8MeNMxlLa5WNf1OkxkNHimsvifndn1jhql0jiNMS5MU9zsBuisBzqCHSFuSxFsSGDNwu4HO2pnJ3HZK0cIEc4DvPK4GmLt8r3Bdj29R2776U7/pn38I7v+WbiuPp5U/qjRn8oI7yaoAF8XjmsRJcFr746hR8Nbnjfu4WVuW+t6O/RSlZ3OdKpojc+1YlsGWW0PF8TddIfv9jTR7dE5Iqh7VFWW8Cji1YAXXVOclZeXzu4KqxEBWwl6z+DOUna8qTCsadLGbRp1l532X2sZpxY+d2a53NVxd2Mq3O9TgGLWQWP0mrx7UhReMJw/VXjPgXb+nxk//Lp5sI8KEoInGbKbUiFYIob2PTmSDOHg22GTlP6JexgxNAilLq51q60OcZtkodXuSVVmc/sT68NoZWs87GDXN0u/3VAJfSQ6ngYK3WONRsNXahBxS72RZBVDVraU/yamAX+5Xngah0Ae0GmM57UqOELp5b5yR1AJ9m9SgpUqQokaBEiuen9DW87+NNPvLFJqMczGPMjZDI3BaUpTRZtc+Oe2DHGVuUwK4mc0QpWVYh+9nkyTh7jwHD0eE6A0OV0V3JYjJwS2QGeGEEIqtREUbaoM0Y+1xnQacxpKkhEIZ3vLrPnmMe7/tYi16MPWA6W+vzxwzCqZYUmydnqXpbI2OBrEReq+K6KrZM1rggz2MeCyf7M1DMW3FBnjspRV2YAGM0k60mzWbjUK0WHoyiuDimhUSZmdvC2eNfuXViovHB6emZbE52JjXUuExxeiHHZUzF815Dg1fqTdw6kjHf2wW3U1glRc7eKcpL6Ebw3k80+e/vneD8ol/Udru1JvYuHPY2q7KVq2a2uOW/jIHdfT3G2pXPxDODO0e1W2hVvFd5KTJGrwaYFX88T/xQlSyus1LV5aqyVaEdAafYOKv5me9v831v6dIKE5uNMamjxzOpYlIwGq2tHnflSuGTZ1IjMZlnXsgT+50qMmRcghTeuriwjs+ylYORZmZ2HfVG64Mf//Rdt+7YvmU1g1sW91Fe/TNhqN+c1OR1WqfV8qG8+WHMCiztQtf3Lt8rpUqVxUvvu8rcebApx21B4ZS/qhRZM3ziMw3e/UcTnF3Kkjmr2LuasbSbt1YH2Fc8b7iA9y0q4HVktgNs8WyE/axsvnr3AlG8sXbq3i7RdqqUsNtoixLYwpSeuBA5a5M95nLFsjjaI44Mm6ZTfuYHOix2JB/8dAtq2dKxisntTSOJsXFBIJyiqywTmzM4mWeui+MuShY3DsGQ15m4rC3KxglX2hmDkD6JkY+2mvXPdLMCg1UMDrBz9+s4d+wzd+t09KCnJN5Y8DfO4BUmFuWsktUgdQLIscbgVeDOGhTGfW4X3FKmqFBz8KTHn326yZn5oAS3GLtLicg0d+6ceFliYrxTx22ELsBMVZYUwWNG367+/hpVSQHmZ/zc8b61K0vcC6F4LLOaVVfFDTzLgLNI3TssnjoOSxJJNs2lfOc39Nm1LYIoY/E802ncINQyeZ7aj4yT0i/uImNy+1wbYdP9FQuwtA3drGWV0VczfaJBKEV/ED34vr/8wt3f8fbXVY6jN35gW5PbQUh6ukccjTDZNVAWuqxVdDXO4mNBZqG7tVNVmCd0nIBSuKB3ZIpwM5YpKtAcOu3xn393itsfqtkGyorX7Xrf1vPOx0B4crXWXmuYT+VnKoOLxmQKeVe4cJh8LceFIjs37pLkV4W7F86qkW65P24o2NtuympdBJEFmGsVZQkseISWWZJIIjQIoRFa5iErqVCg7XnVQ8OrbhjyC+9q83O/O8nhM4FlCCgSQHYgd06TdgZtgkBjnZF8xcy1tyx0ecbaWdIqz+8W+lvYBI/bBVSWx1YJJEkNk7U6V1y2Ha1X08YqgO+4/DUI6UVnD57h/Jkle4CKf9DtbB4DN2YV0CtBJWsEmFKvBngF3KmzEmSuia85et7jv/z+JB+5rUEkst2ohNtfWYJbYtm7rPNeY/ttYVZJEtYAZwFg52dcO/AZidv9cK16FFMuzauKxfMS2sJRqdaJk4O+ktksGyGkthDWwoJcFJnQHPBlFJtLlkQbal7CO1/TJ9Xwc78zybHzmbPCGLgLyaIwWBbOg8i8t1NTOit5V1AOfLv9SVkCm4/jKMphx0HuHL8khblNm/n2d7w+iuOUd//sswC81pwDMfOfjH/VlSkLr5B0bCNo3g+XnawctKvBPq67LVvnF0BZFlsFtij0eFqxBitpeC/l2LzPT/7WJB/9QoNIZluvibXubsbSGV6fkc+a0oSxYNNB7rj/XQH1OG3/PW7juHbrwlen7e0vLYqMMgYf98oL/V3R4S7Is3GwGXHpDNx5Q3GSgO+lfPvrB3gKfuq3pjh2PiCbw1y9CO0vLOxYjSDGSgpfCnzKPgOTj3Ujk4q5hZhPqcV1TVxr1hQgt79Ts3G2wctu2Pnlay7b+p9OL/RWHVc5/oaQs5w8+NmO5zX31Wsi9f20TKHniRynXmS8hmRcoyupC2CrMRmySp/LUnsLUXrgUiZIlXJ6SfEzvzPJR29bA9yrbEF7EH1Z7dJZi71zMI9P161KkSqgxwPM/GxXQP93QPd4gDnui5dvWgng6u1c7miqdFGZrgAAJ9dJREFUQ/TNmJNSmXOYa3NdJoBMUYGoimRQkki8FN7xmgH/v3e12TQbF5lNN8u5SqMbjc50d1Q4LFlFYpHwGUsIjWtw555/7m7MNdKSVAbpZKu+7wMfvrWzZV3r2QFeHvTld81MicdDP5MJbtWfcINCp85E5cCtauoyO2kcIJeSJJclVfDnAWWCUprUF/zRJ1t85PMNIuUC2ht7HPO8xzKW47q7qqtLgK41HsL1v9fS1+UeRuLviu9qNnNVUqfqe7tp/cISZDWDV0tsy84fo8czm9WMZ2pUUT+ujUKnEi81vPP1fX7gzT28NC3tw1UgTwuA2+CTIr0/NDa9nxhs1jMDbeICu6hRGUvhG5xUvf1vo1QSe63Hzyx033WhY7smwLdd+g2Efi8NJ64wQqqSzcZ6Jlel2t3qPzdrKS/gqBRet5t6z8th8639NHiCW++u86FbG4ykyqjWBbTD3pSuSbmvjgNoXKCbIhtW2W9HjIHcYWpXa7uAzn9gVZns1wJu5wcrMsVh9VWuSVZWt6ri0GTTr1xgO80RbvBZPmY15Dpn8Dyd77B5Kgm14dte1+c1LxogUl164yYZc1XSsee2biTW1mUZFYVaFujjXnley5JkbkvigjyPQzAoT3LzdRebxW6a/vNve/3XDnCAifWvpzn3yg8Jb2NvFHvZuAy3Ebhk5YKJKw0QDpCdeu5S1lRnmJRAT5D5PBNPI3z41Fdq/MffmOLJgyFGyrWB7QaWIs9WjgeW1UROdRyEYTyDmYPYdVzGdUsldT8G6mcF91gac7U8EcULt/FhVX1KAeA1MpyGVYB2Ez/urhGljZjLlaxmxSiMUZhUcs2umF/7t22+4aX9Ulu48iTvCiqep0XLjTEW5KPcTjSlnVjWn4hqLYqpVh5mVbbUPLh421zvO77ppg9939tffMFjfEGA11o7zJmTT/8mtesWRpEsrT0n61gFsw0chTBrauxCdoh0jO0z1hZJob9VlpYXHnzizjo/+duTPH0ktAXcq7xul8nt6DNf2Oi52Jkh19+Mg/oZ5MZargqr72uy9RgbPzN1r/H+WI2KqQCdCpjL95yUPazS3oUv7upxV3tn0qUAuqvN8zJbrdCR5MqLYn75x9p808sykI/rcHMhyWK7b9KcyY3tFHILtQrZop0sZvZ+kkkXg92m/XUvumzhwYef+s0rLtl6wUPt8Qy3mXXXkETLxO27UPTwspS969MUe6sw7qLojPl05oXntSbaqUOx4BYitRrcATcefOKuOj/9O5M8eehC4JYlk2dM6xfSZPXwnrwLpzJA89nA7mJ2zEJco3jQQfvXrsPHB50WhVTO52VdivXSikxhhc1LT9wId9yEcaSJRGSd967LgpH2tGZ1KjqzZ4TIolenSoYIrrk45r//yzbGwKfualhnRT3rXwrYpILWgjgzcbQADxs3qCwJJ3CHbGWulbHbfCapYWJighufdznr5yaf8Tc+I8Bbk5tGg/bSv5ia2fJXUXe+6XsW3PnBqp5PJ8njeN+yAHQ1kCw/K+WJzICOJ/j03TV+6rcmeepIsDa4GWNvOV5rkjcwOCMqqLL3KklSCRjHwDwOdqqND/kVUH357BDPR3KvkieUwCXzgAs/HOMA19XopaNSsnxedEWlG6hiG+buSmZsF3+DtOWoSBBGWTWSfxoZrr045pf/VRtt4DN310tf/JnA7VwJRgtS4cQborRH3X8qd4gSY49vANy8c1svNvJfXLR90+jvDXCdLuj65KX3+/7r2t2T9zWVjIjjkCQPQPIryymdLf3v0mUpX5eypHjPYW6hNEYJPntvjR//jUmePvxMKfgquKUDbtcOXF3nXWXvNRM95GAXY2AXFZbPoVwA/kK6Zey9MRXifCAKuh4vpa0GnQ643YtBO/9E1scpGAd6Xr+SzTjMMpk2y2JZXGdZGJFv36Czc4uV0+QFsVHC1Ttj/se/bmOM4NZ7avx/7X15lBzFneYXkUddXX23pG5J3bolJHEP4pDAmEOeNTbDrNkx9rDwntcez4JnbJgZ7+DZGcvs8xjbu8b2eIyZfRjb7DBmFmYxmPEBGIMxrMHmFFajCyS6W0dLrb67qjIzYv+IjMiIyKzu1oWA2XivXlVlRmZVZX3xyy++3xERskDOkDbxohg/B0Fk/8b4mlIifmDEBYWpMQ4S1kByBNd+4PzRM9YserZ//wibDsN0up1+fh68XPOBLbv5lc8NvCsYGKqikAsyHDpQygnRJpzKYpNIkxY1pcRJODehAtw/+3UON36lEVt2SXDHo96gJU6MMkFRCBJnTsK7uQFqOwxWOXaQtuQmyNPbFHatfvr2w23ceqjt2saUgxOa5i0d7iraUN+nKyx6Mf1sdcVIkGDmM48zgVQsS41gdU+AW28YwYVnVeCoSaXk3fVkxERhgZT+pHwYW2ype0cQ21nA0Fkewt9etyLonjt1ZXtb04HFCzqmva7TApw6Oby4uQ+Ou7Z/bvtZO3NuF6qBqpMb/6lcA7weX6Lp24qCmBNOSkI4JBSW2yV4+Jkc/uTLTdi6y4cqM5VSTFyNogg+Z1AT2Nk5uvcyy3rXoyzpsmuZgNaBb4+ApMuM4M5y3yuPJWy+LfVwXSNHAmxogJVL0kDL34SurMDI/uFKJ9cnprK+Ck30cSklRhS8RrCiO8A3/nwEF6+rwIkkyGcCdwbIEQNcPqQRiq9LU/MCnLH2rJ1rTlrVXxl/A/m8f+QABwBKHazsuH/X8gXjH+uYdyqCgFmzeCIvf5L5o9MP6YYnie5NaAQiSz/kOLhL8OizOXzqfzRh6xs+eN0JpfaamuB2SHY97xnTzvQkDgujmZNNy5Kb4OVGP7G/Prx56kX8VjPjOgVJPoEnwGcWTYFmtbWBYRfuTEBODWuuqyhceTellOgYlly8FtacVwlWLAzw1RtH8O51FdAw0qIQZTw5mxHkyiMbX0MHgkd7BACPcOratXj+Nfaxz3z9qV0OnXFWOz0HB4BT1nSBRaMgtLynOoxfVMdePH9ysgYQJ7HSgMGzie2O10FOBLgpYaA5jt0HHTz9Qg6bbi9j6y4f3K+jcUNTTGKvDAWSsmtAKjsni6YYSQxGhlK2VKhQrHkzVVFNna5og0OKTIb1n+E6K0zz5ERc+9NVWLjFwUESiy7jOUwujmSSCSSKCovrlMR8PP4XRX0RpayI+HJOqeDecVaQ4POxbYwZMCUACRhW9QT4+o0j+Ow/MPzq+Rx2H3TFrFD2VaDMmokI/UTqFxRilQ2XADRiaGov4t3rlvziox/YsGd4bBJ+qTQjwGe04ABAnUaMDT6+PeIdXw/c9RifcBAEYgTLf8/g5SmdW7PcRIDbyXFs7fdw8zcb8adfbsKru6cBtw3yeELnKGBzreSDWfZYD66SoJyNepKy9plxJsRQWVJm3d6eBWzb2aP9/foz7O06xza8mXKgmPEojJkauu7Cl5o45xo1YVaFLE0vNzKCMiz5yu4Af/cXI/jr60exfH4AVDXrzSKLtmhWXUTZKCsOiDlVzuFooDV86KLV6O4of/2+f31qe0vjzOAGZmHBVfNXgfjNz3ql4H6vdPCKoLIlWRkZQj4kBh1JJpRCNUlkQifPsX3Axc3fKuO+R4qoRCQurTYNuFVAlQCVA3MlNIOawAK2XpyozjYz/DUBqtqc4YNPqAvBjCb6MFoK1IaWnYSayr6mnBgDGFwtJqbkN8lpjXQ3cSBRMeYEFEkSc5yKEx8jwC0yfWFm9khEEoCGDHNbIlz93knkfI7P/X0jdgwAyNm/Uv7S2KrHnyXnC/KyUhbivDOW4qJzTrp/w5mrnj0wNDrrazkrCw4Ajc3zENUGd7V1nfdJP9/8oOcXQIj4VUnsSTa4VSw3ieD4HDv6PWy6rVGAG/QwwC14N5VqCRLubSyGZfNq/ZlawNX3x0A2YlBsC5/B1WGdZ9Zoz9QK46m7EXtidjdVFHNSqbZZ8ScwFBbdtS+zhjSLDqK4t5pwGi58/ZFhyRlFVCXIMY4rL57CZ68bxZL5gShHoZSVMMOSx9Zcs+JBxJEvFdHe3vzgZRvP/uSe/UO7errnHXuAA0C5eSFqI4/u7uw+fXNLawsoqRqeS1EtNsoAdyQSl/PA6/tdfPa2Mu59uIgKHJEceZjgNpbYhsm39RxLFSBmg5NI3T6uhGDtRwa4U7REh6RNtg/TmkvubfBw61mvgKUnH+v7U9VpuXZubg8GDehWpVrp40iUFz3NTQO5XmfFUlc4p2AhQZ5z/MElU9h03Sh65sR0hWmANkJvzVDbiANTtRBdXXPwrgvO2Hz3D3+1e9mSBYd1bWdPUeJWLHcC3sIvVkZ7l9DJkQ8SPmjUL5HatuTalEYglKPGKZ57ycNt95bwvx8pokZoAm5kATxZJEkiiCCeVRPLW6nz7Yw8S5uK6JKgDm4gDXLDIlvW255o6hg/3KaAbdAPqZho4CaahCgtMOEGv+ZxB7V+PJDQlRj0jBM40rUvB4NcvUGrscIhiupTiJXcBOgJHKLfNeQkNP6iLLmWPOTwXYYPXjIFMOCb95bwfK+Pql6CQuTeJReCU3BCETJgWVcr1p3cc8+FG075Yu/2/sO+rodlwQGA+GtwqO+nI05+5UeIU3qSEDcurRaoZbLFI15lweGYAsF3Hiriij9vxT0K3NNYbAXuGPwxmpQkGANdAlp3y+tUQq3kpYfCGrEzOq1Aon1bYE9Zd2sSmQVoIxl5Nui2OqdrFsr3ieU2GI4mDdoWXZ1Ht/ApSqI7hKihh6fDbLWJp9bHtOQOGHfBuYMopPAijg9eMoUH/vshXHvZBEpUxpRrScwsAKIgjkaM4DsUTQ2FJ88+pecj3/unR0bWn7L4+AMcAFoXXgnHzU02z7+q5ufK8JwKCrkaCoUqcoUAXi6E4zLQHDDBKb7zgxJuuq2MwVEXASxwow64DWkwie9OxZpkqCPJRNKWBS11RAevRUV0ECdWW481Mdm2XHwqjfQ6mNYpSQqtJsjlidKUpE4ILUjmtrreSzsj33AC2dtMumKqLDrItWx97iCKKFzG0dEY4gvXjeGay2OQ15jIjasFQKUGVKtAtQIEU+hqa8BN//mympcrTN7wn957JFA9fIoiW768CgB7xo3OPheTrxf6hgLsGXZAiIOcz7F4boSDkxQ/eCyPL9xRxvCYK7yTIKirb5Os17LUg1mNKkVHYAdT8QwLrHFvG+TTPGdycZKAfjo8k7p7LDAjsdSZKgnRgE3s/kn0IGIFRCw1kng3CY8JT4aywklSY0UuKyIXmKWMgYOCU6asvBxsHJqqwsQNlyvKAUFxiAysi52bAUdrQ4T/9vEx5D2OBx4r4OAkxeK5EXKe+I4Dwx4Ojjfj8ovXTp116pJnHHpEdvjoAO76TeBs5K9oy+V8x8ArN9x46678b3YUgSBAe1MVG8+t4OWtHn7+go9q6Ahwp0CcAXBJS7RJpeTdpiPHdOLoicPmamhWZSrttY67uvQEGS57+2JkTjJnz8Q5EIeqZhym5L8E9GI7iXm2+UVkmC3n1rE2qBlEgR4FZjkaxDKSymlEEksOJlZ5lXycgcQBWAnICWVgcEQMLBFhU5HGyQkRSZitpQifv24Ml55Xw8tbXWw8t4r2MkMUuHjmtwQ/eG5t5U8+fOFXCx79ry1N6VzL2bYjHxoACG1ir776o00vvr76S3tGzqztGWzBwN48mosMLuXYtttBdUpzu9N6CklSpMcAN0SVApl6ZlOTFBXRlBNJS9LLGWbUN5mOU2vozgrCsrqI95ny30wXMw1sFQJrbjZc8cqaWhw72W4lOcBWWvQgLWpKjkYep7WNaYkSWoIEZ1r6G9fd+mL5FKW0REAhz7CiO0TICEYmCBbMBdoby7h43draf7ik60s/fuLhTS1NDWymSzddO2ILLtv/eby11tzUesv5v+PU5rcP3Lxy4UH6oYvGsWpRgC27XOzckxNQoxrHVoFS8r203MQAtxEdqKWUmRbblAFTFWGRAWYdmNNx8roWP4N4ZE0qZ2PE+cz9dMpiW3LDMsuRxQkYZyAkKT2RqChWASEd8MZ+nsSXI+H1jFFQypQSQ0HBwAxLTrhYygZxmTgQUa+FUAaHiRuBKBXH8GKvh8/d0YjViziuuGACZ6xoZUsXrbp5/drlX5mYPFg7WnweNcA/c/2/x8vP3zN14ald94+PVj9HJ/uxpseH44bwPcS0o45Soqw1TZAXgzvFu2kCdElDjBxLxMCHRkmg8XFkgDcD1ECy3UQtMS22ZfXt7rMnKBpYrYfaKPl4DOKES2uZO4qKxAkDRsw40WJTeMLhdbCTmKsr6kLiarbJWjwxtQaLyyRTxclNkFPCwBkFqIxHZyJ8KA4NdAAwEXiOWgDUQh8vbC9jqtqCpo71nLZ23795z+TUBy//0NHC8+gBDgBrV/UA+fK2fW+0XDc25N02Vn2Qjg1XMTgcr0dJPagkBaV5xyRCuRdhWO4E4Jr7HfqkMrbeFsh1RQUZAFbAl0AkCc+W72Hss7YZv5ykjtE7EX2/ZXUVaLMuqKZ3y7e2FVcSOY8/QPFlHcAJ4HV5UE+W0IOyCCR1jqtjIRkEEtw8/kFCNWGat14DuXD2gzEWX3ex2hslFJwILd0BAWcc7U0RFrSFGBr3cMV73sVWLll1HW/o2ZYjB44FNI8NwEnhHAz07aixrvV3dNBnio8/03brrf8U4tneEuD5McDdxFpDmwFqZk9abh3cdpxJ4tCxA6J4CsRGIc06FMQAZAaNSfFvDdCpIKtZ0I16zUhN0wcDkCx2Cp2SaEqLrpXrE8nY1CeqiwQ7Mc8TH6vqjxMIZ0u84pvaDh6/jkGv0RX5D4qpJ4kXjyJxfJLwdovi90lCRa0GnL0qxLc+vQcP/aYD47Xwz/7dxWfd0du7Izrp7DXHAprHBuAA0LVgKQ4d2hU1zf+PO/bWVoy98voD5YlKBcgVNMstAW3O5iSoZMhrEmeSvbSIXc87M4l4Gk6tYJkBdj2OW7f2CbiJ1U97tvj5rFs9i64seRI6C81Ky4ko0Y5Vp4rfMAI4XHJpjbJkWHESDw6mJD+iDZpkwqvHxzClrMgm7DyX15CTJDQCTP1vsvaK60xh4zkNWH/+u8fG2Xt2DOx9IzrppGXHCpbHDuAAAKeMX28effDyi867/tAY+eo3/tfjrX0HJ0GoCjs0m0YrlPVGEkQl+TSVE0mYVCWLdhjcu85k0RwA6TxL2zBnOX/Uk01fjoCEK+MtQQaNatgAVu/lBDLRvYkNWsSTS2JZ93ijMbmUfaBNPIlWSSv+rJgNxdREwDzRx5ORajCoeD8hAvzq9/AQvr8AfvH9Q81NF32qme5/cGqy7ZhC8pgCvKWxFQCw98DoXX981UVuzvW/+I3vP9HRPziq/iUJNA4RTEMyQF4vniTbO5muDJuZraOZYRvQsqku9h1A75MBXFLndfaGpOngnVXLoCq2Tp5MPHUAy1LEBCCJFYc2iJIbhJkGxyAXoCXaIIA4D4gamGIJn2QkqW7Sg2pdCs45iNsBp+l9g07jxv8SRbW7XGflsQNj3I5KB6/X5rU3IqgFd177++fe9P4NqwYbHIYcOIoUKFKOHBXado6KEWZWe+UWv05WIBag5tmWGSZwpXJiKxsmVSEGiPWMHXUAxI70RJPYIkuy/whYiqGd8zrP8q3usoemuugWWVpi+d4IxCJxqRPLba9r6kj66tGL+jmMcNzYYZQMLHGcHlobRg7CiMarsLnwSmcONrRffBOPgjtdv+V4QPH4ABwAOtoacef3H72js7Xw6WWL2oYiFqHoMhRcjhzlcGmSIGwoINqD6qGugMj3pBa4yQwPZL+HtS0D0ymHjw3ylOXWrKuxfRbNUEi0l3ZcOOf2gbrjh0iZQ/Pna8CFJQ2q46GFzepqi52RT7VCn1Y2USLGQq4npMewRJGDIHQRBB6ACOWmuUOMtnx6sO/Hd7i55uMFw5lrER1N++kPv48Fp1/yUktTwxsdDf7GieGhnOc4cba0yANMbmXi4RAxwXGgJzBMX+NET3Yw1twhKn0z1U8mNtj7RYRukvRA4/dEO0YomyQZIFTWL4yX76NJf0L018mzPSkGNGmz3iCF3C/vPMTcjnR/425l3PUEXSHWnUgXtmzlKJmjWBGZ8UjLEMYACNUkjAS4JysOcqWlY60dHdeXG0b/sanr40fi9511O7aTzIy2oqPM8vncPSOt+bCjiO8+89KuvEM8xdsiCAsi+XfCraFNMrNc8hl1BhVAePqP0nm4zcn17ZKgZHB09ZfZpt14ztg1XasnLaaUFYI0VxGbDSnRkBG1EnAG19YmmvEKCop/c8Rr0ptqifGa0FgnZ4oOmZPtWDXhyWXgnKAacND8ykpEuz56YKR8XxhUj8oNP5t23CiKbJ/51FXgUSVauWTOfUt65l297tSeCqchxkOx9Fw1LsQYan9ffKNLTxazHhrIpfNHXmvD2QP9tSkByv/HBLr8LkT7ThkT02nezxbf6jWvv1OnFAb3lt556NxXO5+2TRyvl/zQ6qhAKy8Bi28DGdzc/sz4bhxr3npZbd8LMFUNQHPLK/nS/KvhLrhvcjKMFq+5+viCD28CwAHgz67/EPr2DEePPrvxX977rvZr3nNu52StGqIWiUKKIeOichESS6u8lXZVKs1667dn/faeUkGMW7PZx+Ti6chBw5LbHDyFYJLxanatXn+eYbQV0PU+OhAhLKbqb4Mb0CaHmhQYm3ojYx9xJKE0HXViyrlmCChlcB2x5AylDJ5bxXjUPfn6wa5rVp7+/n9BdCBaedrRu+Fn044rB9fbwz+6D9/+2lpcfnn1t+++rOM1EHrJwaGxfFt5HGEYIYgceJSoTHlKTV6tJywY1IQiU0qk9j6jH0ltVxyb2uchxrPg5RqflbycEo2Xk3gyPEsODovjWr8lk5ervla9FiL5tXa3iq1AwquJ8TmSz+t3Lhp3tu9c+mBP9iVrNDmUwfdCRKyGQ6MMOdcD95aPNDYv/vi69U/fc/c9VVx4yTVvFuwO29AcdfvEpu+i2NKOsBZe47PRr6ya87O2W+4eR+/euWjMuSg5HDlHBMg7moqSFUloPGgddz61wU8yAC8nmyRjoBBjH6U2SLX9lBjbqAZwuU8ODoeaQDbey99C04NTRkua+zMiLSlX26nar+3TXlNr9TuRLpusd6rOb/czVszjcJ0InhuiVJjE9j0TuPuxFbjxw6cdbG0p3Uio+72J8WHMXfaJNxVvx32SabdvbLoWAMDZyPdAPLdvZ+mWbz3wWEeeMhQcDt8REmKqICbqc3B9PzK22xYQGf0Bi5dDt35Aspad2WZy/My2peeaGZNKJEFR0Fz2apIoj1ATTy32JCYRyjsKLQjLcvKYHlHJ37n1OToFikMJCEAijqmqi1KpE6tP+cCg13bBXx4Mw+8t6pq+jvfxam86wGUjtAkHRya+Xer4XfLh3y9/YewfH+3Ye2AUnucg58KYSBkTRPtWrfZzi09ngZ+kB4bVX1dZzAljGn71ZBZOjgDkddQUXSHRr4Xu3udEwlUDeRK6oqW5iTcy6EqeR48BV+fXVBhCkgklIWqoKD4ODkQgYDwERYganYOu7vcNfnTdhpuA6NuOc2LADZxAgANAW1MJlYmJO659/7qQUHLrnfc+2YLxg3AIQxBRBAzKiCmuh/Qk0OSDlvW2tsHep/XRTmcAmkB8D73PtAjmmBHhKdc1mb5vYrmT13IgcR3MkKBMrDcQLxJLk0IUyvJLK2+AWn4OU++J6hPb7/j7ck4QRhS1wIFDHTQ1l9E8b+Mhp+Hiv6hW3e8Wi/njD6Rp2gkFOADkSyWMTtXu+r1Lzxp6bdfepfNKi770k5894+0bjsDi5aGNiU0KiGp+X1cpMax3Bl2BDlztWL2ptykXZ7odiat+tqG2OtD1Y5W1jfepQQAJfBmnIg5Qr6VFT8WtyAMTSy8Dt/TJJSUcJOI4eMhHZ8/6wC9NfLrUft4OQp2HCDmx4AbeAgAHgMaCz3p7tz74p1f/nj85+tLk0u7gm7fds5lsfZ1RzyPCrR9POIE0eOu66JHm4DIkQDZxfHJASnHQRw5gxGYf63Y4p9Y5tnKqkMTaA7qFj604TOtvvzaSkiG3cSPKkcQ0RRZ7cinH0HiBVQtn8cBf/Yk5i1d9p79/X21B95zjiJjZtzdFB59NW7VqBXrm9dZOWtt01/nndK4+ZfWqv+la2IHBiRBhpNVAsayt7o2sz69Jil8bz4BuyFMg0wdJPQQad44jaJIGTdekRzMrBst2wAAJWM0+VuCUrXvz9PdQn8uhiuITwlDIjaPU2Ia5nav/ZoouXH2o2nbXQ7/YVVvQfeziuY+2vSUsuGwkdxYATN38tXu3fvSyC28Zrj3p50uFvxrsG3A8UgUlFCE3r392/RMT4LQOiHWubYM+xdU18zoNzo9P09ULnSFp10Lxb13tMCx6bMUJzKwczkWCmZbbyVRv60sACCKKagDkfB/N7cuiYkP753f0XnXLpSc/Es1beumbeVVm1d40R8/htMd+/M+gPev47Zs+8vOfP3R3rjGPdbw27E5Uqhge53CdDL2amrp3st10rKRXfbAdLyTVJ3HS6K9JRp8spw6Z4biZH0D2Nmjni98mz8Ry+sR9xf7k2Tg/kmuR6OaJXu57AUYnfEwGnZjXvaE6Z9FVX/aafvevF35lAW/s+uMTDZvM9qYaosNtB4ZGQRGBg3xh/94d595+9w/o0y+G546PDLkF34FDCRwqMu5dJwG4Uwfcacue9ipSC4A0A+CUpIFPpaPHcATVd/SkHVDaAKWmUwewPbR2ip7p6EkcV6aDx+yrpfxRGT+SLNPuOixeF1UsKOKQAC2tDeErr5WeXnLSH7IVyxc9HUbkpkKOw/WbTjRU6ra3NMD1duvtD8D3vfLI6Ng/bN32+h/s7ttLDwxPoZij8F0BcCcD3BLUWTmbCswwPZS2RU9ojuicBj0MT2YysA4P4NKbaQM8k3IZhYysxbVoxr5YIhRLGyWu9RTIHQF012HwvQgOrSHiDWho7GSt7T3/7Oca/iiKgrGuZVeeaEjMqr1tAA4AL/12J4qFfPvuNwY++dOfP7d2Z//IFdte3YZy0YHvUWXF9TjpTC5O6oPZduvrlIDGxcSTGBHTmisQE6LiymcNcGNwTg9w3VKrAUx5CvzS5a9b+vSx5nHCenNQEsL3KpjX2YMan3N/R+e6zc2tnV8LgsqBcsvSEw2FWbe3FcBle37LG2gsN/S89HLvV1955dUrnvn1ZoyMjKJYcOC6jnLKqEmiBRJpuQFYYCOZ4NYHBaBHLuoDQgRbycArBXRix7JoPDcjGSMT4CmQp4GfANQeHDw9KOQ5rHNyTkBIBM+poVgqY07naszpWnZ/+7zlnwqqE7v84tsH2LK9LQEOAIP7D8D3vWUvb9lxyqGRyU++9HLvBTt3bMOe/SOg1IHrWHmUFnDltsQCmkFY2dkyZjIEAdECoTSAEzPYalYAz4p8NKiG/Z25MXCTY+NANcoz+xEVlMZVCC0lHI7DUAsiMNKMFcuXYm7X8ieo0/C1xralL3EWbG8ot57ov/yI2ltKJjyc1jGnHQC2c863A9jMoqDzog1rbn/86S3LnvrVCw4QwnUIwkiUHHM04OnNcK7oQNZAkeqvtDmuAv11T99snQt6Vr3xHXQLq+3Tv0uS2MDV90rFwBDVWZTj4SJpW5aCjBhBLSAixDXnYHHPaZHfcNL2cqH68a5F6/cA2JpZ8/xt1N62AJct/gO2Tk0Mbw2j6D3V0Jt//nln3PvIo080To0PlF7rH8WBYYKmEoET/7HMzlbRQKbnY4ptJHWf49YLoTdz5V3U+88WHxymXm8HfZng1r+EVpOExdcj/mFykCTF7EWNbuoDpUKAvQeB0akWnLSic2LNKRtGOQuuJPmefkKcXW93YCdX5x3URC08Qg8MjTUN9L1+TnM5/J9PPrsl/NdHd7SSYKjsuRxhyBCELF6BQNy+HUrgOgSug1hjJ6pcou5M4Qo4JH62E5iJ9tCkQ0tOJBnURA4+8eApuqL+LGIOTvVHEsTqB+A6HK7L4DrimIgR1EKOMBSZ8aUisKS7NDZFlw7lGta47c3Ox5YtXfx/qdswAg5G6DsHFm8ZV/0x+TGUghDCfDp5aHHP/J80NzWu+NEjdy/9zA1/+PmNF5/zypKezhdamhsrDaUSKGGYqnFMVTkYk1xXANJxEGvsCRiBBFiMc1X6TNwNNJqgvo1myTWuwWHdPTSg6pQkrbQIGU//BMaBiAFhJJ4jFq+KBtE/54Xw3AC1gMHzisgVyhW/OPeFed3rXllx2tWfv//BO5cWiuUV5abOn/TtGT9ECHlHgVte03d0275jF1zXJU89/RRAXKdQKH4zqFZW9A+8seFnz77hTE1U0F7moAjheQ4KOQee54AQgDGOKOSIOAdnXFEb2ZJMHsDRHD0OpXAczZLTpMyDuvAxgKXlVjp+bMHldgXu+DiOGMhMfJcgIogi0df3OHw3AkGEUtHB/Dk1uB6wZ3hF1NOz+MliMb91fHziuko1ik4/42xEUcjbOrpP9F90XNvbnoPP1JYt7QESsxfWKmN/5OXyLbv79v1t7/4H/f19e6KVSxvOAPiZfQP7EUVVNDUQUMfB6DgTKwYjruPChbUXTXBfR9XS5kZ8NaDp3zQpcSazaAjXJEeoU6acUk6sishuEUssvAh+YhgZ5wjDEK1NBM0dBeSKbXAo+U25vP+5np5GZ1XD+2oRXfAZwqcOnTynfKL/kje1veMt+Eztl798EpSSC0bGKhsHD4xeSVFd2dJQxavbtuCVHQyIKoiiCAAQhKKIDaBbXdOD6Tgxn3ep9iy5MBCGHFE8SMR+As8BPBdwXajQA8nFJad24nUkqzWOsQnx2nMdNDR42D7AMX/+SixZWEJHa+5VTsr31iL/pwT8iXPP23CiL/EJbe94Cz5TW79+AwA8MXhg6AkAv+AsWupikPXv3cYWLJy/uGd+21/u29uPfM7D5t4+DOwdAuOA7xE0NXiglCKKOBgBKCMAKBzl8RQT15wnAFutAZUqRy2IYk1dUBloPFssnktiigRwwuB6VfguQ8SAYlMrSs3zQAlD98IuRLXBW/rH9rz2O+vOoct72mnOd3YA+EmxoeVEX9q3RPs3b8HrtV19+5DL+c19/Xsv2LmtF8W8G1QC94Yg4pcGIQNBhC2vvIRqZQJjkxFcR1xKFoVwaATfE+At5Snamhl8j2HfQYqh0RCDhwJ4roPWRk94XymQ84HmRg85X9gc1+U4NAY0NzXgzNNPhu8DUeSAc/rwwP6pWz2Xe2vXrEJL27wngqA6nC/OPdGX7C3Z/s1b8HqtZ8FcABgG8AAA9PXvAYDeIIjmhhFnYRhg38BrGB4OMVkN4HkElUo1OPecszaFwdT7OAsDzoFCnmJ+R4ipsIYxJ4fTTq2hdzdDreqhs91DMU8RhgyFgue1tzb8cOe25ze5ru/lfMHVPb8BXQvXwPcdRIxSzp19Xd14raVt3om+RG+L9v8t+DFsjz/xS4CQuYeGDjRFYY1HEZDPUyzsCHGoUsHLO/PYsLqKza8BY+M+5re7KOQpqkGEYiFH5nfOHeHg+9acfPaJ/invmPb/AOYIgX7S1evKAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE4OjMwOjMxKzAwOjAwNfZ91AAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxODozMDozMSswMDowMESrxWgAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 58194199
    {'hecke_orbit_code': 54043745317816540, 'n': 1, 'trace_an': 8}
  • id: 58194200
    {'hecke_orbit_code': 54043745317816540, 'n': 2, 'trace_an': 0}
  • id: 58194201
    {'hecke_orbit_code': 54043745317816540, 'n': 3, 'trace_an': 0}
  • id: 58194202
    {'hecke_orbit_code': 54043745317816540, 'n': 4, 'trace_an': 0}
  • id: 58194203
    {'hecke_orbit_code': 54043745317816540, 'n': 5, 'trace_an': 2}
  • id: 58194204
    {'hecke_orbit_code': 54043745317816540, 'n': 6, 'trace_an': 0}
  • id: 58194205
    {'hecke_orbit_code': 54043745317816540, 'n': 7, 'trace_an': 1}
  • id: 58194206
    {'hecke_orbit_code': 54043745317816540, 'n': 8, 'trace_an': 0}
  • id: 58194207
    {'hecke_orbit_code': 54043745317816540, 'n': 9, 'trace_an': 0}
  • id: 58194208
    {'hecke_orbit_code': 54043745317816540, 'n': 10, 'trace_an': 0}
  • id: 58194209
    {'hecke_orbit_code': 54043745317816540, 'n': 11, 'trace_an': -5}
  • id: 58194210
    {'hecke_orbit_code': 54043745317816540, 'n': 12, 'trace_an': 0}
  • id: 58194211
    {'hecke_orbit_code': 54043745317816540, 'n': 13, 'trace_an': -3}
  • id: 58194212
    {'hecke_orbit_code': 54043745317816540, 'n': 14, 'trace_an': 0}
  • id: 58194213
    {'hecke_orbit_code': 54043745317816540, 'n': 15, 'trace_an': 0}
  • id: 58194214
    {'hecke_orbit_code': 54043745317816540, 'n': 16, 'trace_an': 0}
  • id: 58194215
    {'hecke_orbit_code': 54043745317816540, 'n': 17, 'trace_an': -2}
  • id: 58194216
    {'hecke_orbit_code': 54043745317816540, 'n': 18, 'trace_an': 0}
  • id: 58194217
    {'hecke_orbit_code': 54043745317816540, 'n': 19, 'trace_an': -8}
  • id: 58194218
    {'hecke_orbit_code': 54043745317816540, 'n': 20, 'trace_an': 0}
  • id: 58194219
    {'hecke_orbit_code': 54043745317816540, 'n': 21, 'trace_an': 0}
  • id: 58194220
    {'hecke_orbit_code': 54043745317816540, 'n': 22, 'trace_an': 0}
  • id: 58194221
    {'hecke_orbit_code': 54043745317816540, 'n': 23, 'trace_an': -2}
  • id: 58194222
    {'hecke_orbit_code': 54043745317816540, 'n': 24, 'trace_an': 0}
  • id: 58194223
    {'hecke_orbit_code': 54043745317816540, 'n': 25, 'trace_an': -8}
  • id: 58194224
    {'hecke_orbit_code': 54043745317816540, 'n': 26, 'trace_an': 0}
  • id: 58194225
    {'hecke_orbit_code': 54043745317816540, 'n': 27, 'trace_an': 0}
  • id: 58194226
    {'hecke_orbit_code': 54043745317816540, 'n': 28, 'trace_an': 0}
  • id: 58194227
    {'hecke_orbit_code': 54043745317816540, 'n': 29, 'trace_an': 2}
  • id: 58194228
    {'hecke_orbit_code': 54043745317816540, 'n': 30, 'trace_an': 0}
  • id: 58194229
    {'hecke_orbit_code': 54043745317816540, 'n': 31, 'trace_an': 0}
  • id: 58194230
    {'hecke_orbit_code': 54043745317816540, 'n': 32, 'trace_an': 0}
  • id: 58194231
    {'hecke_orbit_code': 54043745317816540, 'n': 33, 'trace_an': 0}
  • id: 58194232
    {'hecke_orbit_code': 54043745317816540, 'n': 34, 'trace_an': 0}
  • id: 58194233
    {'hecke_orbit_code': 54043745317816540, 'n': 35, 'trace_an': -11}
  • id: 58194234
    {'hecke_orbit_code': 54043745317816540, 'n': 36, 'trace_an': 0}
  • id: 58194235
    {'hecke_orbit_code': 54043745317816540, 'n': 37, 'trace_an': 4}
  • id: 58194236
    {'hecke_orbit_code': 54043745317816540, 'n': 38, 'trace_an': 0}
  • id: 58194237
    {'hecke_orbit_code': 54043745317816540, 'n': 39, 'trace_an': 0}
  • id: 58194238
    {'hecke_orbit_code': 54043745317816540, 'n': 40, 'trace_an': 0}
  • id: 58194239
    {'hecke_orbit_code': 54043745317816540, 'n': 41, 'trace_an': 3}
  • id: 58194240
    {'hecke_orbit_code': 54043745317816540, 'n': 42, 'trace_an': 0}
  • id: 58194241
    {'hecke_orbit_code': 54043745317816540, 'n': 43, 'trace_an': -5}
  • id: 58194242
    {'hecke_orbit_code': 54043745317816540, 'n': 44, 'trace_an': 0}
  • id: 58194243
    {'hecke_orbit_code': 54043745317816540, 'n': 45, 'trace_an': 0}
  • id: 58194244
    {'hecke_orbit_code': 54043745317816540, 'n': 46, 'trace_an': 0}
  • id: 58194245
    {'hecke_orbit_code': 54043745317816540, 'n': 47, 'trace_an': 30}
  • id: 58194246
    {'hecke_orbit_code': 54043745317816540, 'n': 48, 'trace_an': 0}
  • id: 58194247
    {'hecke_orbit_code': 54043745317816540, 'n': 49, 'trace_an': -19}
  • id: 58194248
    {'hecke_orbit_code': 54043745317816540, 'n': 50, 'trace_an': 0}
  • id: 58194249
    {'hecke_orbit_code': 54043745317816540, 'n': 51, 'trace_an': 0}
  • id: 58194250
    {'hecke_orbit_code': 54043745317816540, 'n': 52, 'trace_an': 0}
  • id: 58194251
    {'hecke_orbit_code': 54043745317816540, 'n': 53, 'trace_an': 24}
  • id: 58194252
    {'hecke_orbit_code': 54043745317816540, 'n': 54, 'trace_an': 0}
  • id: 58194253
    {'hecke_orbit_code': 54043745317816540, 'n': 55, 'trace_an': 16}
  • id: 58194254
    {'hecke_orbit_code': 54043745317816540, 'n': 56, 'trace_an': 0}
  • id: 58194255
    {'hecke_orbit_code': 54043745317816540, 'n': 57, 'trace_an': 0}
  • id: 58194256
    {'hecke_orbit_code': 54043745317816540, 'n': 58, 'trace_an': 0}
  • id: 58194257
    {'hecke_orbit_code': 54043745317816540, 'n': 59, 'trace_an': 20}
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  • id: 58194319
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  • id: 58194320
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  • id: 58194331
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  • id: 58194340
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  • id: 58194341
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  • id: 58194343
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  • id: 58194344
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  • id: 58194346
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  • id: 58194347
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  • id: 58194348
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  • id: 58194349
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  • id: 58194350
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  • id: 58194351
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  • id: 58194352
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  • id: 58194353
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  • id: 58194354
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  • id: 58194355
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  • id: 58194356
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  • id: 58194357
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  • id: 58194358
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  • id: 58194359
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  • id: 58194360
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  • id: 58194361
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  • id: 58194362
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  • id: 58194363
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  • id: 58194364
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  • id: 58194365
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  • id: 58194366
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  • id: 58194367
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  • id: 58194368
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  • id: 58194369
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  • id: 58194370
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  • id: 58194371
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  • id: 58194372
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  • id: 58194373
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  • id: 58194374
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  • id: 58194375
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  • id: 58194377
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  • id: 58194378
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  • id: 58194379
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  • id: 58194383
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  • id: 58194384
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  • id: 58194385
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  • id: 58194386
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  • id: 58194387
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  • id: 58194388
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  • id: 58194389
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  • id: 58194390
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  • id: 58194391
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  • id: 58194392
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  • id: 58194393
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  • id: 58194394
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  • id: 58194395
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  • id: 58194396
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  • id: 58194397
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  • id: 58194398
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  • id: 58194399
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  • id: 58194400
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  • id: 58194401
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  • id: 58194402
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  • id: 58194403
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  • id: 58194404
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  • id: 58194405
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  • id: 58194406
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  • id: 58194407
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  • id: 58194408
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  • id: 58194409
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  • id: 58194410
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  • id: 58194411
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  • id: 58194412
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  • id: 58194413
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  • id: 58194414
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  • id: 58194415
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  • id: 58194416
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  • id: 58194417
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  • id: 58194418
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  • id: 58194419
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  • id: 58194420
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  • id: 58194421
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  • id: 58194422
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  • id: 58194423
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  • id: 58194424
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  • id: 58194425
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  • id: 58194426
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  • id: 58194427
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  • id: 58194428
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  • id: 58194429
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  • id: 58194430
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  • id: 58194431
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  • id: 58194432
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  • id: 58194433
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  • id: 58194434
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  • id: 58194435
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  • id: 58194436
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  • id: 58194437
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  • id: 58194438
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  • id: 58194439
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  • id: 58194440
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  • id: 58194441
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  • id: 58194442
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  • id: 58194443
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  • id: 58194444
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  • id: 58194445
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  • id: 58194446
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  • id: 58194447
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  • id: 58194448
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  • id: 58194449
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  • id: 58194450
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  • id: 58194451
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  • id: 58194452
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  • id: 58194453
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  • id: 58194454
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  • id: 58194455
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  • id: 58194456
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