Embedded newform data - 160.4.n.c.127.4

Formats: - HTML - YAML - JSON - 2025-03-12T12:14:46.314366

• 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': 2560, 'analytic_conductor': 9.440305600918498, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 20, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 4, 'char_parity': 1, 'char_values': [160, 4, [31, 101, 97], [2, 4, 3]], 'cm_discs': [], 'conrey_index': 63, 'dim': 8, 'field_disc': 46669665510400, 'field_disc_factorization': [[2, 10], [5, 2], [42697, 2]], 'field_poly': [400, 0, 1556, 0, 628, 0, 48, 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': [[3, [33856, -64032, 60552, 28824, 7028, -168, 18, 6, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9008092675047584, 'hecke_ring_generator_nbound': 9, 'hecke_ring_index': 256, 'hecke_ring_index_factorization': [[2, 8]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 20, 5, 1, 4, 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': '160.4.n.c', 'level': 160, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '160.4.n.c', 'prim_orbit_index': 5, 'qexp_display': 'q+(-1-\\beta _{1}+\\beta _{4})q^{3}+(-1-\\beta _{1}+\\beta _{3}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '160.4.n', 'trace_display': [0, -6, -6, -70], 'trace_hash': 1354693691089930025, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.555', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.176', 'prec': 17}, {'__RealLiteral__': 0, 'data': '217.515', 'prec': 24}, {'__RealLiteral__': 0, 'data': '179.855', 'prec': 24}, {'__RealLiteral__': 0, 'data': '10044.209', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.248', 'prec': 17}, 'traces': [8, 0, -6, 0, -6, 0, -70, 0, 0, 0, 0, 0, 144, 0, 134, 0, -100, 0, -176, 0, -516, 0, 198, 0, -172, 0, 288, 0, 0, 0, 0, 0, 172, 0, -170, 0, 492, 0, -756, 0, -28, 0, -654, 0, 10, 0, 690, 0, 0, 0, 0, 0, 580, 0, 2392, 0, -248, 0, -1808, 0, -1068, 0, -3106, 0, 2200, 0, 1878, 0, 0, 0, 0, 0, 1952, 0, 2178, 0, 340, 0, 1808, 0, -7844, 0, 506, 0, 184, 0, -784, 0, 0, 0, 0, 0, 3708, 0, 5800, 0, 5576, 0, -8412, 0, -5640, 0, -4154, 0, 252, 0, 3838, 0, 0, 0, 0, 0, 5852, 0, 2922, 0, 5076, 0, -7068, 0, -7232, 0, -556, 0, 66, 0, -7198, 0, 0, 0, 0, 0, -2296, 0, 15936, 0, -3776, 0, -2592, 0, -4932, 0, -8100, 0, 232, 0, 14950, 0, 0, 0, 0, 0, 280, 0, -5968, 0, 104, 0, 3388, 0, -2956, 0, -2886, 0, 3764, 0, -3942, 0, 0, 0, 0, 0, 3788, 0, 10930, 0, 1576, 0, -2528, 0, -15056, 0, -7876, 0, 7552, 0, 9532, 0, 0, 0, 0, 0, -1924, 0, -13372, 0, -372, 0, 2032, 0, 1284, 0, 5456, 0, 8372, 0, -17394, 0, 0, 0, 0, 0, 18284, 0, 6222, 0, 8068, 0, -11852, 0, 8408, 0, 430, 0, -13760, 0, 6102, 0, 0, 0, 0, 0, -6668, 0, -6594, 0, -7504, 0, 18512, 0, 20500, 0, 30810, 0, -19506, 0, -2480, 0, 0, 0, 0, 0, -15068, 0, 9280, 0, -5908, 0, -26964, 0, 9416, 0, -19098, 0, -11148, 0, 17696, 0, 0, 0, 0, 0, 8580, 0, -27536, 0, 208, 0, 31676, 0, 4564, 0, 15410, 0, 12088, 0, -13964, 0, 0, 0, 0, 0, -11528, 0, 3848, 0, -9392, 0, 564, 0, 28492, 0, 5436, 0, 5468, 0, 4054, 0, 0, 0, 0, 0, -24524, 0, -47022, 0, 40, 0, 4864, 0, 13780, 0, 6208, 0, -5820, 0, -44608, 0, 0, 0, 0, 0, -41904, 0, -19750, 0, -11080, 0, 56660, 0, 24744, 0, 18864, 0, 25128, 0, -5506, 0, 0, 0, 0, 0, 9208, 0, -34448, 0, -26788, 0, 38880, 0, 29736, 0, -5674, 0, 15288, 0, 2322, 0, 0, 0, 0, 0, 15620, 0, -4914, 0, -15800, 0, 10560, 0, 6252, 0, 8366, 0, -49156, 0, -19878, 0, 0, 0, 0, 0, -37220, 0, 13232, 0, -10620, 0, -6352, 0, -23488, 0, 16116, 0, -42150, 0, -18988, 0, 0, 0, 0, 0, -8664, 0, -1290, 0, 37112, 0, 12480, 0, 51812, 0, 13206, 0, 35248, 0, 42844, 0, 0, 0, 0, 0, 3896, 0, -17584, 0, 27960, 0, -42368, 0, 54088, 0, 38162, 0, -20544, 0, -8624, 0, 0, 0, 0, 0, 2876, 0, -14544, 0, -7756, 0, -41888, 0, 13176, 0, 12014, 0, -20124, 0, -24426, 0, 0, 0, 0, 0, -32452, 0, -8800, 0, -6536, 0, 41024, 0, 23960, 0, -10252, 0, 14228, 0, 21546, 0, 0, 0, 0, 0, -8968, 0, -30732, 0, -19308, 0, 4640, 0, -68788, 0, -22378, 0, 9084, 0, -46862, 0, 0, 0, 0, 0, 59456, 0, 52426, 0, 53108, 0, 26940, 0, 15352, 0, -15342, 0, 64524, 0, 32612, 0, 0, 0, 0, 0, 43484, 0, -35278, 0, -71992, 0, 43116, 0, -1000, 0, -19348, 0, 3612, 0, 15574, 0, 0, 0, 0, 0, -14544, 0, 87328, 0, -69708, 0, -57316, 0, -106536, 0, -56534, 0, -80692, 0, 76954, 0, 0, 0, 0, 0, -40596, 0, -38546, 0, 41004, 0, 73764, 0, -81972, 0, 32156, 0, 63632, 0, -64930, 0, 0, 0, 0, 0, 29016, 0, 21532, 0, 33728, 0, -38000, 0, 34516, 0, -45102, 0, 75414, 0, 75426, 0, 0, 0, 0, 0, 41960, 0, 12956, 0, -108, 0, -99536, 0, 73200, 0, 18912, 0, -80568, 0, -34064, 0, 0, 0, 0, 0, 41260, 0, 44398, 0, 5740, 0, -133332, 0, -112428, 0, -57686, 0, -11464, 0, 37610, 0, 0, 0, 0, 0, -44372, 0, 75912, 0, 127868, 0, -93440, 0, -35692, 0, 29468, 0, 21816, 0, 11184, 0, 0, 0, 0, 0, -8168, 0, 124112, 0, 40924, 0, -173788, 0, -122892, 0, -54478, 0, -57140, 0, 10336, 0, 0, 0, 0, 0, 177140, 0, 23640, 0, 40484, 0, 141876, 0, -88508, 0, 67424, 0, 540, 0, 508, 0, 0, 0, 0, 0, 25716, 0, 99956, 0, -83712, 0, 91472, 0, -29036, 0, -85980, 0, 2144, 0, 65402, 0, 0, 0, 0, 0, -54564, 0, -29014, 0, 3180, 0, -82176, 0, -152080, 0, -73802, 0, 43508, 0, -104750, 0, 0, 0, 0, 0, 125980, 0, 92304, 0, 103632, 0, 20392, 0, 9408, 0, -57952, 0, 150944, 0, 77488, 0, 0, 0, 0, 0, 70200, 0, -25456, 0, -111980, 0, 102352, 0, 57160, 0, -32800, 0, -43780, 0, -50010, 0, 0, 0, 0, 0, -109940, 0, 45476, 0, -23672, 0, -105100, 0, -134368, 0, 60964, 0, -61868, 0, 100064, 0, 0, 0, 0, 0, -27508, 0, -96826, 0, 94056, 0, -17660, 0, -104076, 0, 56054, 0, 152588, 0, -69122, 0, 0, 0, 0, 0, 114264, 0, 149846, 0, 67056, 0, 18336, 0, 133640, 0, -196652, 0, 131614, 0, 4182, 0, 0, 0, 0, 0, -69304, 0, -69608, 0, 46944, 0, -54704, 0, 27784, 0, -102130, 0, -126324, 0, 18982, 0, 0, 0, 0, 0, -190580, 0, -13890, 0, 44680, 0, -8404, 0, 120516, 0, 25866, 0, -42600, 0, 18298, 0, 0, 0, 0, 0, -7256, 0, 70760, 0, -90740, 0, 47776, 0, -31024, 0, 118540, 0, 27244, 0, 106638, 0, 0, 0, 0, 0, 70940, 0, -52492, 0, -110620, 0, -151920, 0, 55300, 0, 168516, 0, -17736, 0, 34862, 0, 0, 0, 0, 0, 118572, 0, -95676, 0, -63500, 0, 104196, 0, -46768, 0, 21180, 0, -181568, 0, -170122, 0, 0, 0, 0, 0, -152748, 0, -24976, 0, -28352, 0, 117188, 0, 16896, 0, -12950, 0, -154292, 0, 19946, 0, 0, 0, 0, 0, -70024, 0, -42324, 0, 19016, 0, -30016, 0, 161140, 0, -41482, 0, 7760, 0, -27460, 0, 0, 0, 0, 0, 122812, 0, -29312, 0, 45808, 0, 51936, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [1.1797351801629548, 1.1797351801629548], [0.0, 0.0], [0.3451871079049761, -0.9385338888586807], [0.0, 0.0], [-1.336721723181518, 1.336721723181518], [0.0, 0.0], [0.0, 1.7835501906282387], [0.0, 0.0], [0.0, 1.0935784325422035], [0.0, 0.0], [0.08350382258811963, -0.08350382258811963], [0.0, 0.0], [1.5144508213959404, -0.699992071527528], [0.0, 0.0], [0.6035871772542094, 0.6035871772542094], [0.0, 0.0], [0.7367454996672214, 0.0], [0.0, 0.0], [-3.1539552858505675, 0.0], [0.0, 0.0], [0.3728374663201111, 0.3728374663201111], [0.0, 0.0], [-0.7616917210723968, -0.6479395975318765], [0.0, 0.0], [-0.9243817253075228, 0.9243817253075228], [0.0, 0.0], [0.0, -0.3668771646378792], [0.0, 0.0], [0.0, -1.3254166851112965], [0.0, 0.0], [-1.2901329491374982, 1.2901329491374982], [0.0, 0.0], [0.7931395314806428, 1.7159777428782115], [0.0, 0.0], [1.028506061958025, 1.028506061958025], [0.0, 0.0], [0.19702479437058146, 0.0], [0.0, 0.0], [0.2977367304785442, 0.0], [0.0, 0.0], [-0.5215311068086695, -0.5215311068086695], [0.0, 0.0], [1.6739222963849623, 0.6156585321063306], [0.0, 0.0], [0.10787462133626044, -0.10787462133626044], [0.0, 0.0], [0.0, -2.5736499304507343], [0.0, 0.0], [0.0, 1.4241460546040883], [0.0, 0.0], [0.34437372247452985, -0.34437372247452985], [0.0, 0.0], [1.0263604190658147, 0.37748917639650026], [0.0, 0.0], [0.8691645847841555, 0.8691645847841555], [0.0, 0.0], [-0.6083197359004763, 0.0], [0.0, 0.0], [-0.6762759757007056, 0.0], [0.0, 0.0], [-2.3841102841973045, -2.3841102841973045], [0.0, 0.0], [-0.04954672432999003, -0.1071956103663965], [0.0, 0.0], [0.16345115500278498, -0.16345115500278498], [0.0, 0.0], [0.0, 0.8796989510013118], [0.0, 0.0], [0.0, -0.4884723244991106], [0.0, 0.0], [0.4804607248475858, -0.4804607248475858], [0.0, 0.0], [-0.13419738195899433, -1.6629916576169559], [0.0, 0.0], [-1.461810046781958, -1.461810046781958], [0.0, 0.0], [0.32368385134338234, 0.0], [0.0, 0.0], [-0.39750109186178817, 0.0], [0.0, 0.0], [0.38042318535525615, 0.38042318535525615], [0.0, 0.0], [0.7748375328185357, -0.35813650864871827], [0.0, 0.0], [0.43281789792174247, -0.43281789792174247], [0.0, 0.0], [0.0, -0.5617930865730412], [0.0, 0.0], [0.0, 0.2232427472444701], [0.0, 0.0], [1.5636406918007617, -1.5636406918007617], [0.0, 0.0], [0.25431504829213464, -0.6914606189018091], [0.0, 0.0], [1.2566131684976478, 1.2566131684976478], [0.0, 0.0], [-1.9504520218275776, 0.0], [0.0, 0.0], [-0.7560247348565894, 0.0], [0.0, 0.0], [0.8911056292146298, 0.8911056292146298], [0.0, 0.0], [-1.0887047035843695, 2.960093919715725], [0.0, 0.0], [0.5845594100158175, -0.5845594100158175], [0.0, 0.0], [0.0, 0.6717867229830833], [0.0, 0.0], [0.0, 2.426729568605484], [0.0, 0.0], [1.349659238612891, -1.349659238612891], [0.0, 0.0], [0.47861928389528935, -0.2212219104599732], [0.0, 0.0], [0.14893325869522742, 0.14893325869522742], [0.0, 0.0], [-1.6136561833390306, 0.0], [0.0, 0.0], [-0.19591378812146273, 0.0], [0.0, 0.0], [0.35125049537223446, 0.35125049537223446], [0.0, 0.0], [-0.8710394325292649, 0.49121309732039536], [0.0, 0.0], [-0.47341532009154036, 0.47341532009154036], [0.0, 0.0], [0.0, -1.2305371885030219], [0.0, 0.0], [0.0, 1.6377288015400908], [0.0, 0.0], [-0.9848237138613967, 0.9848237138613967], [0.0, 0.0], [0.5484789210836503, 1.1866482298018821], [0.0, 0.0], [-1.1616574331865634, -1.1616574331865634], [0.0, 0.0], [0.9169415679248324, 0.0], [0.0, 0.0], [0.25452697167428745, 0.0], [0.0, 0.0], [0.09131797941719812, 0.09131797941719812], [0.0, 0.0], [-0.34432665206103524, -0.1266412674177273], [0.0, 0.0], [3.0362253643766732, -3.0362253643766732], [0.0, 0.0], [0.0, 0.3768625491602041], [0.0, 0.0], [0.0, -0.5274065718314361], [0.0, 0.0], [-1.0765280250525058, 1.0765280250525058], [0.0, 0.0], [-1.2439484758356865, -0.45751675230256883], [0.0, 0.0], [-0.021580283659858243, -0.021580283659858243], [0.0, 0.0], [0.8125395910537537, 0.0], [0.0, 0.0], [-0.9967598808921003, 0.0], [0.0, 0.0], 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[0.14890964675523077, -0.14890964675523077], [0.0, 0.0], [0.39165036176420265, 0.8473456146145625], [0.0, 0.0], [0.4308498277672954, 0.4308498277672954], [0.0, 0.0], [-0.1253996899489533, 0.0], [0.0, 0.0], [-0.9596093767993098, 0.0], [0.0, 0.0], [0.11100740822205424, 0.11100740822205424], [0.0, 0.0], [-2.319382155070747, -0.853054778031393], [0.0, 0.0], [-0.7607065698311551, 0.7607065698311551], [0.0, 0.0], [0.0, -0.08024061425646432], [0.0, 0.0], [0.0, -0.15625414587654823], [0.0, 0.0], [-1.3176620353889597, 1.3176620353889597], [0.0, 0.0], [1.0255451232606245, 0.3771893155130292], [0.0, 0.0], [0.47332031838547056, 0.47332031838547056], [0.0, 0.0], [3.1056254516715245, 0.0], [0.0, 0.0], [-0.7567293891714176, 0.0], [0.0, 0.0], [1.042591047167242, 1.042591047167242], [0.0, 0.0], [-0.32039392367915076, -0.693180481069315], [0.0, 0.0], [-0.5262170234557602, 0.5262170234557602], [0.0, 0.0], [0.0, 1.0492331965983908], [0.0, 0.0], [0.0, -0.9014619270401367], [0.0, 0.0], [-1.225695712733245, 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-0.3358507304283309, -0.299187851939662, -0.3048985299106524, -0.35656408092773684, -0.46073139501071125, -0.3198309618447609, -0.22412826564468916, -0.08165344822957354, -0.4546841097458315, 0.04914670230852304, -0.31169616207939677, -0.016505541851330713, -0.3071800153403379, 0.05451908873884015, -0.17327322490311498, -0.42932680958508107, 0.152697991536966, -0.47159228393296, -0.17419868352877432, 0.030170136988969008, -0.45752801091656736, -0.12742872944869427, -0.4882232786620453, 0.2642456801528612, -0.3254735536578373, -0.33504497677634065, -0.3405153975568, 0.09199249853599886, -0.3126484088653065, -0.011168374647124743, -0.20044103175254183, -0.4033016965738095, -0.21184970643281986, -0.4876191736513029, -0.4730826244609165, -0.3643548091368712, -0.31731082184656795, -0.24430256152726276, -0.416842439367174, -0.210009693754327, -0.2058878403716268, -0.3382158294457861, -0.3855017631056175, -0.02615881889593269, -0.38973350247301414, 0.05996079343639739, -0.49745557216660397, 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• mf_newspaces •

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

  
  {'Nk2': 2560, 'analytic_conductor': 9.440305600918498, 'char_conductor': 20, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 4, 'char_parity': 1, 'char_values': [160, 4, [31, 101, 97], [2, 4, 3]], 'conrey_index': 63, 'cusp_dim': 128, 'dim': 36, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 893420306592, 'hecke_orbit_dims': [2, 2, 8, 8, 8, 8], 'label': '160.4.n', 'level': 160, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 160, 'mf_new_dim': 36, 'num_forms': 6, 'prim_orbit_index': 5, 'relative_dim': 18, 'sturm_bound': 96, 'trace_bound': 3, 'trace_display': [0, 0, 0, 0], 'traces': [36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 156, 0, 0, 0, -272, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 660, 0, 0, 0, 592, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 244, 0, 0, 0, -1696, 0, 0, 0, 0, 0, 0, 0, 644, 0, 0, 0, 0, 0, 0, 0, 1524, 0, 0, 0, -3504, 0, 0, 0, -6612, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 3120, 0, 0, 0, 7188, 0, 0, 0, -7448, 0, 0, 0, 400, 0, 0, 0, 0, 0, 0, 0, 2700, 0, 0, 0, 9564, 0, 0, 0, 2636, 0, 0, 0, 864, 0, 0, 0, 0, 0, 0, 0, -2016, 0, 0, 0, -6076, 0, 0, 0, 7664, 0, 0, 0, -1040, 0, 0, 0, 0, 0, 0, 0, -4956, 0, 0, 0, -1476, 0, 0, 0, -10192, 0, 0, 0, 1488, 0, 0, 0, 0, 0, 0, 0, -10780, 0, 0, 0, 5536, 0, 0, 0, -14216, 0, 0, 0, 12692, 0, 0, 0, 0, 0, 0, 0, 12572, 0, 0, 0, -732, 0, 0, 0, 9264, 0, 0, 0, 15504, 0, 0, 0, 0, 0, 0, 0, 40304, 0, 0, 0, -4240, 0, 0, 0, -632, 0, 0, 0, -27920, 0, 0, 0, 0, 0, 0, 0, -25412, 0, 0, 0, -21696, 0, 0, 0, 3792, 0, 0, 0, -52548, 0, 0, 0, 0, 0, 0, 0, -29424, 0, 0, 0, -1012, 0, 0, 0, 1936, 0, 0, 0, 26892, 0, 0, 0, 0, 0, 0, 0, 41904, 0, 0, 0, 19164, 0, 0, 0, 3248, 0, 0, 0, 47520, 0, 0, 0, 0, 0, 0, 0, 8108, 0, 0, 0, -16192, 0, 0, 0, 48240, 0, 0, 0, -44912, 0, 0, 0, 0, 0, 0, 0, -56052, 0, 0, 0, 5004, 0, 0, 0, 432, 0, 0, 0, -24876, 0, 0, 0, 0, 0, 0, 0, -81652, 0, 0, 0, 22404, 0, 0, 0, -9696, 0, 0, 0, 83424, 0, 0, 0, 0, 0, 0, 0, 52868, 0, 0, 0, 13488, 0, 0, 0, 40372, 0, 0, 0, 80748, 0, 0, 0, 0, 0, 0, 0, 98532, 0, 0, 0, -31152, 0, 0, 0, -528, 0, 0, 0, -96112, 0, 0, 0, 0, 0, 0, 0, -96688, 0, 0, 0, -71964, 0, 0, 0, -57976, 0, 0, 0, -148272, 0, 0, 0, 0, 0, 0, 0, -75680, 0, 0, 0, 78048, 0, 0, 0, -11488, 0, 0, 0, 97076, 0, 0, 0, 0, 0, 0, 0, 89364, 0, 0, 0, 58272, 0, 0, 0, 94548, 0, 0, 0, 70272, 0, 0, 0, 0, 0, 0, 0, 73776, 0, 0, 0, -80948, 0, 0, 0, 103304, 0, 0, 0, -116240, 0, 0, 0, 0, 0, 0, 0, -107824, 0, 0, 0, -49452, 0, 0, 0, -78056, 0, 0, 0, -38028, 0, 0, 0, 0, 0, 0, 0, -99856, 0, 0, 0, 46768, 0, 0, 0, -166672, 0, 0, 0, 77856, 0, 0, 0, 0, 0, 0, 0, 166208, 0, 0, 0, 104592, 0, 0, 0, 106040, 0, 0, 0, 152304, 0, 0, 0, 0, 0, 0, 0, 186768, 0, 0, 0, -156128, 0, 0, 0, 75080, 0, 0, 0, -91576, 0, 0, 0, 0, 0, 0, 0, -153408, 0, 0, 0, -173004, 0, 0, 0, -161376, 0, 0, 0, -196428, 0, 0, 0, 0, 0, 0, 0, -210448, 0, 0, 0, 133804, 0, 0, 0, -114576, 0, 0, 0, 184284, 0, 0, 0, 0, 0, 0, 0, 158692, 0, 0, 0, 162176, 0, 0, 0, 153712, 0, 0, 0, 198560, 0, 0, 0, 0, 0, 0, 0, 111708, 0, 0, 0, -71396, 0, 0, 0, 250112, 0, 0, 0, -189244, 0, 0, 0, 0, 0, 0, 0, -175152, 0, 0, 0, -61836, 0, 0, 0, -138672, 0, 0, 0, -169952, 0, 0, 0, 0, 0, 0, 0, -128460, 0, 0, 0, 258580, 0, 0, 0, -170816, 0, 0, 0, 228640, 0, 0, 0, 0, 0, 0, 0, 161012, 0, 0, 0, 179780, 0, 0, 0, 63408, 0, 0, 0, 100708, 0, 0, 0, 0, 0, 0, 0, 360144, 0, 0, 0, -139952, 0, 0, 0, 33312, 0, 0, 0, -291376, 0, 0, 0, 0, 0, 0, 0, -136464, 0, 0, 0, -334016, 0, 0, 0, -213328, 0, 0, 0, -256576, 0, 0, 0, 0, 0, 0, 0, -322492, 0, 0, 0, 134672, 0, 0, 0, -313408, 0, 0, 0, 256728, 0, 0, 0, 0, 0, 0, 0, 309200, 0, 0, 0, 172796, 0, 0, 0, 125672, 0, 0, 0, 457468, 0, 0, 0, 0, 0, 0, 0, 233404, 0, 0, 0, -327248, 0, 0, 0, 242080, 0, 0, 0, -253572, 0, 0, 0, 0, 0, 0, 0, -284064, 0, 0, 0, -26644, 0, 0, 0, -330048, 0, 0, 0, -296880, 0, 0, 0, 0, 0, 0, 0, -206672, 0, 0, 0, 163424, 0, 0, 0, -48480, 0, 0, 0, 388496, 0, 0, 0, 0, 0, 0, 0, 376332, 0, 0, 0, 285824, 0, 0, 0, 226804, 0, 0, 0, 264844, 0, 0, 0, 0, 0, 0, 0, 243516, 0, 0, 0, -91996, 0, 0, 0, 65504, 0, 0, 0, -289060, 0, 0, 0, 0, 0, 0, 0, -517812, 0, 0, 0, -265188, 0, 0, 0, 84656, 0, 0, 0, -371616, 0, 0, 0, 0, 0, 0, 0, -439584, 0, 0, 0, 134608, 0, 0, 0, -305384, 0, 0, 0, 285568, 0, 0, 0, 0, 0, 0, 0, 292880, 0, 0, 0, -63408, 0, 0, 0, 248240, 0, 0, 0, 422396, 0, 0, 0, 0, 0, 0, 0, 445744, 0, 0, 0, -62340, 0, 0, 0, 199320, 0, 0, 0, -495040, 0, 0, 0, 0, 0, 0, 0, -411092, 0, 0, 0, 29376, 0, 0, 0, -91204, 0, 0, 0, -407644, 0, 0, 0, 0, 0, 0, 0, -198624, 0, 0, 0, 177140, 0, 0, 0, 116040, 0, 0, 0, 332580, 0, 0, 0, 0, 0, 0, 0, 448528, 0, 0, 0, 307372, 0, 0, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 41347107
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008092675047584, 'source_is_minimal': True, 'source_label': '160.4.n.c.127.4', 'source_level': 160, 'target_conrey_index': 127, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9008092675047584, 'target_is_minimal': True, 'target_label': '160.4.n.c.127.4', 'target_level': 160, 'twist_class_label': '160.4.n.c.63.4', 'twist_class_level': 160, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 41347108
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008092675047584, 'source_is_minimal': True, 'source_label': '160.4.n.c.127.4', 'source_level': 160, 'target_conrey_index': 127, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518891557159072, 'target_is_minimal': True, 'target_label': '160.4.n.f.127.1', 'target_level': 160, 'twist_class_label': '160.4.n.c.63.4', 'twist_class_level': 160, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 41347109
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008092675047584, 'source_is_minimal': True, 'source_label': '160.4.n.c.127.4', 'source_level': 160, 'target_conrey_index': 63, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22518891557159072, 'target_is_minimal': True, 'target_label': '160.4.n.f.63.1', 'target_level': 160, 'twist_class_label': '160.4.n.c.63.4', 'twist_class_level': 160, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 41347110
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008092675047584, 'source_is_minimal': True, 'source_label': '160.4.n.c.127.4', 'source_level': 160, 'target_conrey_index': 127, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518891557159232, 'target_is_minimal': False, 'target_label': '320.4.n.f.127.4', 'target_level': 320, 'twist_class_label': '160.4.n.c.63.4', 'twist_class_level': 160, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 41347111
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008092675047584, 'source_is_minimal': True, 'source_label': '160.4.n.c.127.4', 'source_level': 160, 'target_conrey_index': 127, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36029690439270720, 'target_is_minimal': False, 'target_label': '320.4.n.i.127.1', 'target_level': 320, 'twist_class_label': '160.4.n.c.63.4', 'twist_class_level': 160, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 41347112
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008092675047584, 'source_is_minimal': True, 'source_label': '160.4.n.c.127.4', 'source_level': 160, 'target_conrey_index': 63, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9008092675047584, 'target_is_minimal': True, 'target_label': '160.4.n.c.63.4', 'target_level': 160, 'twist_class_label': '160.4.n.c.63.4', 'twist_class_level': 160, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 41347113
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008092675047584, 'source_is_minimal': True, 'source_label': '160.4.n.c.127.4', 'source_level': 160, 'target_conrey_index': 63, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36029690439270720, 'target_is_minimal': False, 'target_label': '320.4.n.i.63.1', 'target_level': 320, 'twist_class_label': '160.4.n.c.63.4', 'twist_class_level': 160, 'twisting_char_label': '40.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 41347114
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 127, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 9008092675047584, 'source_is_minimal': True, 'source_label': '160.4.n.c.127.4', 'source_level': 160, 'target_conrey_index': 63, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 22518891557159232, 'target_is_minimal': False, 'target_label': '320.4.n.f.63.4', 'target_level': 320, 'twist_class_label': '160.4.n.c.63.4', 'twist_class_level': 160, 'twisting_char_label': '40.13', 'twisting_conrey_index': 13, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 419875
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9008092675047584, 'p': 2}
  • id: 419876
    {'charpoly_factorization': [[[33856, -64032, 60552, 28824, 7028, -168, 18, 6, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 3}
  • id: 419877
    {'charpoly_factorization': [[[244140625, 11718750, 1625000, 66250, 25310, 530, 104, 6, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 5}
  • id: 419878
    {'charpoly_factorization': [[[8185182784, 1267693664, 98168072, 2157464, 269748, 34872, 2450, 70, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 7}
  • id: 419879
    {'charpoly_factorization': [[[9429321318400, 0, 30007021120, 0, 26826544, 0, 8940, 0, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 11}
  • id: 419880
    {'charpoly_factorization': [[[1659222219664, -440223790080, 58399948800, -555955392, 3751272, -185664, 10368, -144, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 13}
  • id: 419881
    {'charpoly_factorization': [[[84810469747600, -2910494530400, 49940640800, 1180107920, 25777384, -348760, 5000, 100, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 17}
  • id: 419882
    {'charpoly_factorization': [[[74695424, -724608, -17280, 88, 1], 2]], 'hecke_orbit_code': 9008092675047584, 'p': 19}
  • id: 419883
    {'charpoly_factorization': [[[226869868840000, -12243941882400, 330396701832, -3526953240, 30573300, -680232, 19602, -198, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 23}
  • id: 419884
    {'charpoly_factorization': [[[2109704529510400, 0, 1414023020544, 0, 325095424, 0, 30736, 0, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 29}
  • id: 419885
    {'charpoly_factorization': [[[38589365071897600, 0, 38274451564864, 0, 3772618224, 0, 110716, 0, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 31}
  • id: 419886
    {'charpoly_factorization': [[[31523484056131600, 1160813774908320, 21372774304032, 28145681232, -273085944, -2082456, 121032, -492, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 37}
  • id: 419887
    {'charpoly_factorization': [[[-111097600, 7137960, -80340, 14, 1], 2]], 'hecke_orbit_code': 9008092675047584, 'p': 41}
  • id: 419888
    {'charpoly_factorization': [[[246690823728040000, -10551328587575200, 225647904694088, 329265672760, -45335500, 1107064, 213858, 654, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 43}
  • id: 419889
    {'charpoly_factorization': [[[120535324459264576, -3727963678253280, 57649959664200, -123737868360, 810701748, -18180120, 238050, -690, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 47}
  • id: 419890
    {'charpoly_factorization': [[[15231435006490000, -1102891074154400, 39929550988832, 32295514608, 381948776, -15678312, 168200, -580, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 53}
  • id: 419891
    {'charpoly_factorization': [[[-3059828992, -62327680, -12608, 904, 1], 2]], 'hecke_orbit_code': 9008092675047584, 'p': 59}
  • id: 419892
    {'charpoly_factorization': [[[8377265504, -89710712, -290892, 534, 1], 2]], 'hecke_orbit_code': 9008092675047584, 'p': 61}
  • id: 419893
    {'charpoly_factorization': [[[51333116957785422400, -224419885439560800, 490563285121800, -193637340120, 193585131636, -826441848, 1763442, -1878, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 67}
  • id: 419894
    {'charpoly_factorization': [[[1966418066352099779584, 0, 56288296823173952, 0, 526708201200, 0, 1692188, 0, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 71}
  • id: 419895
    {'charpoly_factorization': [[[495118092987008656, 10512340382873472, 111598931538432, -7860322420736, 189933458984, -832610784, 1905152, -1952, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 73}
  • id: 419896
    {'charpoly_factorization': [[[-2880741376, 14510592, 145728, -904, 1], 2]], 'hecke_orbit_code': 9008092675047584, 'p': 79}
  • id: 419897
    {'charpoly_factorization': [[[7804417625038225000000, -66289437762126300000, 281525782572232200, -637790429302760, 801414228404, -350426232, 128018, -506, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 83}
  • id: 419898
    {'charpoly_factorization': [[[7266872332386304000000, 0, 126464391905280000, 0, 707638067200, 0, 1508096, 0, 1], 1]], 'hecke_orbit_code': 9008092675047584, 'p': 89}
  • id: 419899
    {'charpoly_factorization': [[[75908116475970340638736, -994894099609792495168, 6519818402764068992, -17313308434324384, 26697162647688, -25495564752, 15545888, -5576, 1], 1]], 'hecke_orbit_code': 9008092675047584, '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': 14, 'hecke_orbit': 3, 'label': '160.4.n.c', 'level': 160, 'portrait': 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NYwN2mYnUhYaQe0+4JB7LHaE8xPGJZbhuMLiornMz8NW+dCNs4M2DAzZH5myNaNlu3ziku3eVRVnSPHm3z9eZ8nX4p59lhEojq87bYW77rVUlUzvHRskiOnNafOJZxNwX1wyXL95Yv8u/evsm12gtPnJjm3WmG55bHakqx1Elq9hO4A9h1eYu/x9qUvHDh1+2VbT1xw6bZTX/zhH35n+N9/51OvNCT+Wo+/0wy+tNJiEFqU4pceeOzgrQ9+7YPyrTeevfXVu0/rxZXNLK1NsrRWY7nls9zSLLdgpZWw0opYXks4uwaHlgVzs2v8hx9Y5obdNU4sTHP6XJ3TS5qFZcvZpZiTiwnnOjGT0wNefWWXmy4BX1YJVMDCSoUzS5qzK4LeEOLYUPEN9UrC1ESMAY6djWl3YcdGj3p1iLUChE+3b9g+P2R5TYN1UmStC8MYLJaVVsiWDR6dvkIoizBDmhWP7ZsGrPUEx05rEqOZaUoaFUHgQRwLekPJ2RXJmWXLwmpMEAzAi7n5si63Xi6Ya1ZZXm1yYiHg9BIsLMUsrMScWoFDy5ZXXbbEL/zAKvOTTY6fnebscpXFVZ+llmRlLWG1HbHaTljpWBbbgmNtaC0v8943y/jdb/Ae/va3/KiRweUPI8y/sdbDC/7uZkf/zjL4Jz75aa6/7hr+9b/6qV/80Ee/+i//4M/vvej+Z7oXPLG/J6+5eMjOTYY48bBWpocAKwEJCISwaGHxJZxervLoQcmVu1a4ZNuAWgU8LfE9he9r6lVJzZP0uh77j1a450mfY+eGtOOI/SeGbJxZ4e2vXuXKizq86pIWR5dilnqCWjDg8GlLq13nigsla4OEvUcVjZrmhWNw8WbLIEwYJD5aR0w1YN+JAKUTPBmjPegPJTdc0qPfk1x5UUK7n3DsdIOd84p6LWRtaNkw2WO12+aj98LTRxKePTJgx+ZlrtrTZmo65K03d/iu11h2zTdIokmOnJrg0EmPE2cNJ89FnDyXcOic4PhaxNW7F/kPP9Bh4+QkJ85Os7BcY3HNZ7klWW0ltDoRa92Eta5ltQtne4q1dsSNly3zr967IC/fllzQWjm+MwrDG1XlomqlNv3lr9zzWf74w3/2SkPmvI+/kwz+kb/4BJPTs2pp4fTPHT529v+8/7HD6tRiyNJAs9BPuHrnAr/+E0tcs6vKwvIUy606K60KKy2PlbZmtQOrrYTVdsxKJ2apBSdWBbo64JbLV/ie14Ts3FBnrdvk3EqVxRWfpZZgpeUkwmrH0O4b2kNLbxAz04zYvtEAgsCznDznIWTAjg2KnZstmzf0WFgd8syBBtddbKlVV3n+4DSNekgYesxMGfoDuHT7gD+7d5I922KGQ8vshCRK+jQqAS8cHVD16lyzO+bZwyELyz5bZgJ2boLt8yFKRZxcAt+zCGHZsTFmqiHp9AO6PY92z2OlrVhZg+WWYaWVsNRKONuC5UHC9i1dvueOJW65RFPxmpxZarK0WmFpTbPSFqy2DGudiNVOwlrHstyFs13F2bWYG/ec5QP/eIlLttVYaTVZbQesdScZsCfxKpt+cc9F237h5OmF5NV3fMcrDZ11j79TAF9dfArfr1T77RPbv/CVI+95bt/Z/3jw0An6oauPXutLzvUlZzoRr7pwgV/7iRWuurDKudVJltfqrLYrrLQ9Vtua1Ta0Ooa1TsxqJ2albVloCU53LYgu77qtxVtvMFy4qUIY1lhtVVjr+rQ6itWuoNMTDIaWMLYkCShpCTyoBpbJpmXDdIT2Bhw6E/LcwQAT13nzjSHaW+OJvRNcsAm+8GjMbVcEnGv1qWhFnERMT0EceWgvZnm5xquvbfOFrzXYuQkePzDEo8abbjDEos9zhxKOnKygpc/GKc1UXVANBL4vUAJiA2FkGYTQ6VnWuoZOz7DWMyx3Lf0kYcfWHm+9qcW7bg3BNFhem+DcSpXljAxaOM3djVnrOOZe6cKZjmKxnfCq3Qt84CfOcdmOKktrE6x1arQ7FVbaPqttqDa2YNTGn7X1iz52xSXbj/d6g/6rr7/0lYZS/vg7A/ADBw8wObXZP3ns2R9eOLPvt198Ya84cCyU3X5Mt29o9wztvmCtL3KQ33DROX7lx5a59qIKS2sZyAPWOj6rHc1aR9DqWFrdhLVOTKtrWO1aznUEZ1qGqcke3/aqDjdfErNjo6JZ9Wh3KgSeBBRhLDFGYCz0BoAwTDUGHDhlMTbk7sfrDHtVLtric8uVPSKzxv1PTnLNxR4HznZprTa56coeX34iYOO0Ze8xyz99Z5u9RwM2TkvueVJxy6WKlV6bwyemuWZ3yP3P9YmHNW6+zGfXtgH9uMuXnlCQCA6d1DRrGi2g15cYK0iMJYoBadC+odW11BsR2zYNufXSHt92XcxMvcLCygTLa1VW2+7crLYFrS60OjGtbkyrm9DqWVZ6krMdwVIn5sY9i/zijy1y1c4Kixm4uwHtrk+r51yjtQ4stDxz5VVX2muu2P2Tl+6++ENnF86FF+7a/UpDCvg7AvA4CmUU9d/+wtOfv+jYafOBr973qFetauJE0O3F9AYO5J2BpdOHVsrkp1sxN196jl/6sUWu2+Wz1p5gcbVBq1threOz1tW0OopWDzpdS7sX0+4mdPuGVs+y2BUsdiFKhlx1cZ/56YRuz/KWm4ZcMG+IE4mWljCC+56pcPxchU1TMc8fqoCpcclWxbV7DEGlxxMHeiwu1bn8gjrNyVW+9qzH9RdXWO6tsbraZH7e8uhexfe9rstjezVbN3gsdVusrkxz7aU9vvZ8wnR1kssv6nKu1eLRFyep6jqv2mPZvX0AssszRwQbpiMWFiPuf8ZjECmkhMRYLtgU8m03hXS6is1ThmsvhjCssdKqsdIKWOt6tHuKVlfS7kK7l9DuJnR6Ce2eYa1nWelLTrUFrf6QW3Yv8gs/usqrLnY3R6tTpd0L6KRyqN1TdPuSTg8GYULgGS6+5LpoqSX/9fvf9+0Hm43a5zytzSuNrVcc4P1enyRJfmj/3sd//djBB6ZPnVmj1RWEkWAYWfqDhP4goTdI6A0M3YGlM4D2QHCurzjTTrhhzzLvvGWF974uZrJW5+xyk9V21TFN16Pd03R6knYfuj1Lb5DQ7Sf0h4b+0P33VrqC7sASxobZqZggsIDAVxYtBb2+QuAxO6G5YF6wa7Nl+5Yew6TDXY8p9h1s8MbrAm66epUP32XwxRTvvKPHZ78Ws2WyydbNPe59osq33xJyz9Owc67Cpo0r3PlgjXfe5uEFS/zxnU1uvazGG25s88yxAV95VBMO61yw0efCzYIdmxLmpkKkjOgOEpQyaGUBSy2wzE1CGHl0ej6rHY/uQNPrK7oDSbcP3YGl2zN0+wmdfkK3b2n3LWt9WOxJFlYttYk23//6Rb7jliFX7aqytNqk1a3QScHd6Ss6fQfu3kDQH1iGkWUYunNabUzzzre9duWmG6/7P7TWf1yr1V9RfL2iqXprWkD8oycPP/BLh/Y+ON1udQg8TbOq6CuQQoAtjB4hQAjXSaOkRckEX0qePTDHUy/VOXD6HO+8tcutlw2YbDRZadWotys0+z7dnnYXZiDpDzS9oWYwtAxCQxhZosgSJ+4IYx9rQCqBpwUVXzDZEEw1YH7WsHVjj9mpFl98Ah54ykOaCd54ncfVl3R46MWIcNDklqsFrX6fc8t1bt5tmJ3sUdUBg1ix2I5QRnD1bk2tMeTJ/RVuv3aCm67q8OR+BXaC6y7z+ZG3rfDlp0PueazO3uMVts8p5qerTDVqTDSgGoCnLUqCsbD3iCBJBFEsCGMYRrjvOHQ382Bo6A0MvaGh24f2EBa7knMdGJoBr79mhbff2uJ732CI4yZnl+q0uxU6fZ9u36Obgrs3EO5Iz99wmDAIDYNhwlr7DB/5+F3TJxaj//wd/+A2vbTW/eDs5CsH8lcM4L3eGoOh/pFo7c5f6izcs2GmYfBElf7QoqRBSoEUEiEEQiiEEEhJCm5QyqKVxVOGqidY6lX5i3u38pWn2tx2xRrvf/0aV+zsMjNZY3mtRqcf0Ot7KbCVO0LBMJJEsSCO3VLvardcUKk1VHyoVQ3TjYgtG3rEdDlwKuKj91c4fKLOZFDl+ss0N1/Z5tGXWtz99SY3Xlxh+6Yef3avQImAZiNirTvEWFAC5po92h0fE1d5+23n+Isv1Ni1UOGtN/YIo2Xuf26GKKlww2UbeOv1bS7e1uIrT/Z49kSNZ474bJ2WTDcFtUDge+4mlOnNbywYY4ni9GaNHMMOQsMghH4InYFgdShY6YDQA67Zs8b7v22N2y5LmGlWWW3XaHWqdHoB3YFHt1+sBL2hpD/AgXuYMBgahmHCILTpoTh5aJVnjt+zYbUX/9KPffdr7OLS6h/OzU79vwPgP/8rH+bf/1TC0Zc+9YPCDD8Qdp6eTaJVGrU61kZIaZFSIYRESBBSIoUDu5IaKROUEunybPCUJdCWqhasDhTLrSk+fl+dR57vcstVa7z/DWtcs6vFTFIljgN6gwrdvkd/qAkjRRRL4kSSGIGxwmVBhSXwDbVKTOCH+N6QU8tD7nxccvCkz5GTUygTsGuTz6U7Fddd0kYFizx3qMGWyRqXXwjzc6ustJtcsUUSG8sXHwsY9iST9Zg33TDgc/dHHD/bYM9FHmfWBrxw2GPbximu2rnIQ892+NoLgmHoc8nOaS7ZFnDJ1g6Hzqxw8BQ8tq/GgcN1aloQaEk9sFQ8kNJpTmvdzRonEMYQJoLuUNAeCNoRhCbG2AGvurjN+7+tzW1XJGyaDhgMJlhuVeh0A7oDn15f0x0oegNFfyjoDyT9oesbHQwT5/EPTQpsQz+09IcwiBVLay3+7BP3b1hYWPrA9Ew1/tF//+kP/+t3rXLJdT/09xfgd3/hE7zxrQ/i6+u/d9+xfb/59hufnnztVdCKqyR+RGKkkyApyKXEsbUUSCVQSqGUQCuDVgmeFvja4HuWwLPU/ITJiqAz9FhtT/GJB5rc+8yAjVM93nNHi0u2DRj0u1y+07JtXjGMPJJEkRiXKBJYpDR4OuHYguXIWcFa3/CZh2qcWprChh5TFcXmGc2Oec2FW+DyXW2MXOL3P1dnZWWCGy/RXL6rxVeeEYjYY8OUpF6L6UU+0kqwEqV9WgPBworgMlvjjus6PPxklc2zPjdePs0/fNsSH/pCh8f21+kOPJbXGuzcXGXPph437O7wnbd3OL2ywmceCljuBRw743HqlI+nBFJKBAJjLYmByFiS2DA1E3HlZT2Gw4hLtg159x1DNkwophsBUVThzGKFXt+nN3SrXD8HtnTgHgoGQ3IpMgjHmdvSD6EXCvqxIBaaZ462mJ/5wuz/+cNbf/Nt114d7bn2+Y985M8+yvd+3/f8/QJ4WrOtINzw3COd13ztqZN/8PljJ2rJTT0mm4YoESDA4kAmBEhhU4BbpJQoKdFKoFX6rAWeTvC1wPcMFc9SjSy10DJRSZiqCnqhpBPWOXKyzq98ZBpMjIhjrruyx875kDgGYw3WuiSOFO5G0p7P/uM+ew9WqFc0DV8yWxPMzUg2TGs2zyl2bErYs2ONRCzz3z7V5NjxSW7c7XHJBQn9uMPXnwuYrHrMTFgmGyG1qpNCxkhaA8VK17LcSmh1q7z68jUe39tj33HFZLPCDZdN8mNvX+a3Pg1PHqzT7VvWOpqFlSbzszU2TA3YMTPgp767R7PW4tkjsP+ExPMsSlmEMIB1/7MQx3DBfMItV8QkkUcUB1hbYxB6nF3y6Q/dijYIVS7f+qFgMBQMQsfaw9BlZYdDwzA0DCKTvpcd0IsEvVDQDgUroWAwGOKLFsvnwsmHn577g0/ff3V8hImP/8J/+RP7c//y+//+APzIiRWUV9vcbZ148uzSvuarLno+qH1njy1zPYSGerX4GDJlcKU8lLIoqVBKpXpb4mmnOX1PMfQkw9AQhAnDyFKNDMPIEIaWZgzDyDCMIYwFg0gyTAKipMK+g3We2QeJtThoO23sSfCVq/loBHD5JmhWYaIumWooZiY1G6Zh+/yQTXNrRHaF//apCQ4dnuDaCxUXbpXs2rrKV1+IWVie4LqdkqmmoeL3CWSAVYI4kQhriZOQ1W6FhWWPay+pcvXuDg89WWHjlKBWaXDtbsM/e9cyv/lpwwunGqx1DWsdxeKqZnayzlSzylRzgmYtYq4esePakMCL8XSMUglSuGDC4m6qKFKcW9REsSKKFWGkGEbpcygZRpJhKBmEkmEoXIAaCoahZRi68zoME8Iw1fSRe38QwiASDCLohoJW5MDdH0ZgByysRPzhF+Gp/S/U3vaa7offeWvPvO3tuz/1/jd+JLno6u/91gf4Bz/0UZ545AF19FTr1U+/dKJ54MSRYMMEmESzbb5Grdrlqu3dlLmdRHAANyjpoaTFUxZPKzxt8UKJ7wl3ETzB0FeEkQN6FFnCOHGuSFw6EogTS5IYEoPT24Yc3EI4KaQleB4EWlAJBLVAUq8pJmqSqQnBhumYHfM9GvU1PvVwyP3PTbO21OTK7Yodmzwu3jYgEWt88bEadU8zN6Vo1AY8dwhePKy5YpulN1RcdXHElbssZ88kLK769Ac13nx9hwef7XPglKJelQR+kysuNPzCDy5z3wt9PnffLMtty44NCastzWRTMVH3aNQ86lVLJTAEviHQCVpl59FdA2txCSsjiI0kTgRxLIhiSRgLokgyjJzzEkaCMLKEIQyjhDAyhCXiGEbZkbo0kaAfOfZuhZK1GAaDEBl1ufbCNb7nTX22zfd4z7cNqOlzlU3Nm/7kiYfrPxSamb985IG/TG66/d3f2gD/kR86KJeWee9v/E78Ow89fjpY6M2x1p2AeAg25MDxNd79ujbveV2XyWaC7iUoadDKd0GkTvC1xos0gVYMPMc0Q08S+plfLtKAEcJIOgchLmy/ODEkiXMXEps6JalbkrkzSjrZ42tB4EsqgaReFTRrlsmGYeP0kLmpDrFd4+MPSj70hRk2VCpcuV2wfZPHBZsNOzat8qmvW1ZWKlwyr5hqQqMWsXBUcm41wN8Jw0gwNyGZnIQDRyyrbcPZpQoXX1Dhddd1uPOBCjMNCHwfJSe5YpfgH731HJ48x2cfmuLFUxU2tiM2TMZM1BWNqqJWlVQDTeBD4IHWzmGSAqQogRx3YycGkkQQJ6RAhyixhDFEUeJIITKE2XNkUtsxc2UcuPuxYBAJupGgFQs6oSUaDpkI2rznzcu857Vd3nyDIbaaJILVVoUziy9VDp22f/Dpx+b1Slf9OY5nvjUB/gcf/jR/+D+SH9TioV/7+gvLzUHSoFmxGBXQTzziOOKLj3l8/YUKZ1ZW+Kff2WeqGVEJYtrdClr5eNpzR5gQeho/dNIkjFwq3TGOcEyUslIcQ5RAkjgnwRgXcBljs3ggBbcDuAtcBZ52AKkEUKsYGtWYyUbM3GSf2ak1Ht4X8id3V9l/ZJILJjx2zcPWeZ+tG2HP9ja9uM2je5tUlcfclGKyAZONIVMTMb6vEcLdXP2hz0o7Yq1naXVjzq36bJ9vcNMl57j7sR77TzWpBRGe8hFigl1bFN//hiVeteccf3J3g0efn2S5q9nQjJmsxdQqkmpFEXiCwJN4notVlCK1Dx3KLS4eMoYc6HFi0tUttRZjQ5w4cMcRhLEtjsi5MoMU2L1I0IkFnRgG/RgT95mpdfgn37XMT72vR73isdqqEUY+YeQzCH0adUNy6tnmJZv6/+273niT/+v/9NMfuvjKd37rAbzVaqOU/NEPfviTv/SJz3dnFtsVmoElMQIlDN1Y0JUBQ6VZG3j82kd99h5a5e23d7njmg4bZ0M67Sr9YYDvxQS+xzDUBL6z9zKAR5EkjN2yG8Wpp52QWn+kzC0xlgLcLkmZuzRauYSJ71kqvqFaiWlUYqaaQzbNtllo9fjtz3h88fFpVlbrXDQn2L5BsGWDz9YNgp2bB2h/jb+4X3P4RJ3dGyVTDclEPUHKIacWLYGWSAHWCsJIs2NDm8dIaPcUq23LwkqV3VsrfOcdLf7yKz5HFwI8HSGEh7F1olhy3c5VdryvzRef7PFnX5zmiaN1tkwJZusJ9UpCxRcEnsD3XKyi02SZlCJPWVvcTWYszmlJHOAzkMeJk3QO7BAmrtYlzJJHsaAfQyeWdCPoRYakN2TrbJvXXLvGO27v8ZbrEzxRY3W1Qhh7hLFHFHlEkSKxkl2bFdP1xZlOd/CBy699l+p0Oh9sNBrfOgBfXG1hpPqHzzz5tV86dnjfhqqWzNQgjJ1j4sUCX1oqiaATS3qiSivy+IuvVrjv2Q7XXtLmfW/o8dYbW8xMBvQHAf2hT+C5kxVGOg+U4lgRJZI4lkSJII4lSSJIjCi0thHkqsSSujQuWaTSZJHvGQI/oRrENKpDZie79KM+X3nO8tGvTvDo85NM+R5XbLFsmpZsnPHZPCfZujHkwi2rPHu0z2cenGNCaeYmBM26oFmLaPUSvvD1Cg3fuUPGQn+oefstQz7/iKuJaXUN51Y1Wzc0eOetXR7d12HvAZ96EKOkcCA3NQah0/rf/7oWuzed4y/ua/O1Fyc5vlplvimYqFhqvqGiDb4HWgmUJE2Que+dVWeYVKoZU6xwcQp0RxAQJYIoSYGdCAaxoBcLOgkMQ0MchtSrPd75xhXe94Y21+5O2Dit6fcbtLt+ytyaMNb5NcuuW2/gcfy5Axva4UO/9Lo7bjKD/vIfVaozf7cBvrC4xrDXxYMf+NhnH/zVhx+8dyburdGoOp07CN1Sp7OALgFfQkUJesqj5ylOtn1OP1Ljkee6/OWVHd79uj5vumXA9KRPOAwYxh5h5BHFmig9aXGiiJM0YZMUADc2ZW5TlNwIYdOg0tVxaG3wvYTAj6gGIY1qn4Q+X35S8pF7J3n+yAQiCrhgyrJp0jI7qZib9pmflWyei9g+3+bEYoff/VydeFhl61bBZEPTrEOzFiG8kHa/zmTDIoTAWohiyXSgiE1MJ/Lp9BJW24pTi1Uuu7DBj3/7Gh/484Bji3W0itIbQxPHFQahZH4m4LqL2lx5YZcXjp3io1+tcvcTk5xuVakHioYPdc/ia4unQEuXzhditPjIANa4my4xgsRCnAjnnyeCMHFJon4i6CfQjy1xHGOiITOVPm9+/RrveX2H266ImKhqwrjOaisgDD2ilIgcuB2wo9S5GQwV3YFm0Fvj3LEvbzhzdPirU5vuiFeWz/yPRr2CF0z93QR4v9+n2Wy84/Nfeey3Pve5u5tEbeoVndZSO10gpU3rSAQ6cQ6JHwuqSlBNBD0V0Is9zg0rfPaROvc/3+OGe7r8b9/V4dLtbTZMKpo17dgh9ojjAuRJBnAj0x5NJwlsHlCmqX5lXbJIxwR+jKdC2v2IxXbEf/1UhSPnpnhy7yTW+MxUBRtmLbMTgpmmYmbSY+OMZH4mZstcj5nJVb74lOGJFye5cqtgqiFp1CTNmqFeDRHekCDQaOV+v7WQJJL+UNMfRMRG0OkbOl3LStvj7HKTm/d0uemyNf7ingrVFYWWkQOk1cSJTxi5Hs/ZyQqv2tXlVRd1eew1pzm2KPmTuyc5t1bj5HKAryR1T+BnMky6wDMn8kyq4Jg8toLYQGQEwwQGMYTGQhJDHCHVkM1Tfa7c4a7H9ZcmNKuaOK7T6gQMI5841ikBqRTYOnVrlJOTqS2ZJIJqRRCHPfY+d9/MHhv81symG1cHg95n/jYx+bcG8PbyXhrT8+qzf/XRi1585qVmTXbwGh65JiArlBIpwC06XQa1tPiJJUgENSXoK0FPu0B0Oaxy9xMTPPxin3ow5Ife0mLrTMwFm/vcfHkHLVyLmBBOrrispKuVtrbE3FiEtCjhPHNLDDLmhSOSx/dp7ny0wQvHG4RxjYZWzFUt03XLVM06H7ypmZ7QzEwK5qdjNs/12TS3yv3PD/n9OzewaVIz14RmXdGsCxq1mGow5OGXFINQ49UdqKwVhLGkohXX7O7zyHOTrvCpn7DW9lhaC1hYmuLH37rAyaVlHnl6Dk8CIsJADqBhKOn2NVONCpPNOjft7vGaK3u877WL7Dth+PyjFR7dV+Wlw3VioRkOFb1IofL6nnLgmeYErCE2FmsMnkiY8EMqRNx0bZedmwZsnY14/5uGVH1JveoRhjVanVRfxzolHJVLEXfI/HCAF6nTJdK4yWf/oZDDpx5pTs4tX/Tud79HPfrkS8mN1/3t1JP/rQD82X1P89iJSf/S7gM/vGtr99eOHlylt7FGf5AQxcYlb0RRDahipw11Yt0h3dLoJZYgsVSUoJYIhgYGiUc/8eglFTqdhF/9iylsHLFxbsBl2wfMTMS8+3V9tm8IiSKR6m0JJeYm/d1SGoQUfOK+Ks8eqiO05tjpGqcWalSqiolAMFm3NCuGZgUaVcFETdFsKKYamplJmJ2M2TgzYMuGNold4xMPNul361y81dKsKRo1SaNqaFRiPC/ki49UGPYk3gbXLZpJlHpV8eYb+jzwlKE7lHT7Ce2eZq2jObtc49KdDd59W5snX6hxbKWBkgaIUr3sESWKYeQSM92BptX1aVRr1KtDLt064MY9A06ca3H0zBraS3jmsOYvv1pDKFe4hpCjF9EawIC1RGHCjo0x73ldn9lmwp4dlo0zkMQew7BBHHustj3iSBElOo2DHKAzgLuYSKaulnCvI1lyu7KqRzeD8eTCIlt3bf21+pcf7r31DZs+dPDQE+FFu171dwPgjzx9nMgu7V7wD/72Zu+rslaZp1bVWOvOoxAu6SAkqFgQSYtKLHEi0LHTiVFi8RIH9MBYKol1QY6xhIlgaCTDRBIaj8jAYrfJV581WBL+6lE3sgFr0iPL4qUWWV6RKJFKEUcaaTSeljQC2DlnqXuGWmCoBVALBPWqpFF1cmiiIZlqwsxEzNzUkM1zHRJW+a+frPDQcxvYNQNTtZS9a5JGNaZWDanX+lSrNQIlUTLV4Dg5EEUeg76gP0zoDBXdgaHTN65lru5zcmGCV1825J999wK//pea42sBQhisjTCJTTWuZDB0ZayNvqZe8alVK9SCGpUgolENue7iEN+LuP7imPe/vodWcZoEMghhR0V5KumMkQghCTwF+AyGmuVV7ep2kizmSWVhCuQ4caCO84A/SyiV2dq9di6NIEozoP0hdPsJn77rPnn1nv5vt84uPSjCwfN/G9j8fwzw//xbH8cjqD7x9IF3HTrynHjd1YpAuROllQv0gLSAyhLnNSYu0IyVi9h14nof4yyiTwSxsUVkb5w+dIcgNJLYShKjiUxAktpe5UeepRSghXCBrYJK1VLRlopKCDwINFR8SzUQVH1JrSqpVbQDeF0w2TBMN2NmJodsmO6yecMyv3+n4c/u3si2ScVsw9CsKxo1Rb0GtWpCoxpxZtlw6ExAxXc1NZBV+gkGoWbnvGF+dkB74NMf2JTFJWsdTaNaoVGb5P2vP8fhM2f5g89sQUuNxZCYhNhYolgzDBX90BVF9SqS2kBTDTyqQUKr42IM30vwdILnJWjpGiWkdOl8kR6udEUAIgW5oGXSKkvj4pokkRgjiU0R78SJIEkcoF3yKAV2UmRM3c8idbmcjRulCaY4diQ00VDcdjU07RNieSF6l1e75NCRF/68v/Py972yAH/ddTX/7OLKz/jJuZ+pGCv3H55hw5REa4uULuEggDgFuBTOmtOp56qNA3jmWTu7ynmySZZ1M678M0+zp5VyzssVeaBU1txAmslz8khL49wb5VYMTwk8bZ1vrAWVQFLxJdVAUa0oGlVJo2aZqCdMNmKmm0Nmp3ps37jMoy8N+Yv7NjNVCdjYMDRrwoG7KqlXDPVKTKM25NH98My+GhfN2VT3Fmnz/lBx/R7Lxdv7PPb8JL2h617q9nUKco9apUq1Msn33L7CMy+d45G982AVxiSuHDa2xJHNA7f+UFMbWKoVRcU3BL5H4CcE2qB1gqddibErgyiuB8IiKPRcEZy7EmKTOVIms19LVmwGbCNysLufs2xp+aD07MBtjMsiz8/4zM/MsLgcyfag/XOJXvENjV8EwlcM4IdPd2QS93/+3MKf/R/TwaLvX1ABXGZQChBKpNpXIhNLkgaXSWKJpQN6YhzY3YmzmIT8dZJl3GyWebOYNBOXJSustZQy7yMrbpaqLpfdaiUcwPOiLZf9C3xFJVBUA0GtKmhULc1awkQ9ZrIxZGaiz+a5VR7Z3+fn/3gjx09OcuGsYbIGzaqiXlXUK1CvJFQrEb43oDVwxWKecjd79kiMY7go9mlWI3qxoZfWWfcGCZ2epFVV1DoBlaDBBfMRv/DDLf79hyVf37sxneRlSBJDnMSEsSGMFINQ0Q8k1aGi4ksC3xL4ikAbPM/5/VqldT4qLWpLZYoQdrR/MU3t25REbFrLkqSAT0zx7IhJps+iAHj2Os6+M+kqTb5am7TwMRFwblWxsCJZbS34Uxuq//pf/vPv9axd+1khJv/G6fy/McCPHb6XJ574rBgOh++gfaSydaNmua0II1IGcKBLjEAa55zEJgW4cho8SZnaKJuztEm/dAZu59GCNdZ1kdvSf9/mcnsE4EIUh5ROoigpUMrZZTptRfO0JPDdAKBK4EYyVANLvWJo1BKatYiJRsh0s8/muTUe2dfj339olv3Hp9kx7RyWRlVSr0nH3lVLrZJQq0REScif3tNAKoUnLUoUNqGx2RLu8f1vXOVLT4R0woDeMOsXVXS6ilagqfgBgddkz7aY//gjy/y7Dwm+9vxGjJUkxqXVo9gVmg1Dw7DifOYgEFQ8QeC7zKavbZ6x1coglfPGs7LkHOBFyhNISQSXS3BuSxrIZwBOpw6YPLlGyu7kK24yBuykVDrhyMrVwfQGrnVwpWU4u3aw8sADX/7fr33Vt4sz5zr/ZtOGv1mm828M8DBKuPLi2d9aOvbJS052XElrrWLQyt21xhbgNOkXVYkgUSVQJxajCmCXGdqYov3KAV24OooM1NmJH/tcGcCzGowsk5ext9ZZ3YnE86Sr3/AFlcDNPKkFCfWqA3ezHjLZ7DM32eLRfT1+/o+meeHYLFunBDP1kjSpaOoVV79SrcRUgxDPG3JqeQpPCZQ0qS1XBJlJIoljxaYpSxxHtKNK2ilj6A8SOgNJtaeo+B6+V8HTE1yyNeY//sNF/u0fwiMvbiAx0gE8sURxkjK5YRgYKqFk4KtcgnkeeNpJNFen4twrmXnj6fN5MO7kCmlSCJEnh0yaHMqyxUlSShqV6l1MDm53/Vx5gM2vu83KBgxEkcFYy2o74Tf/5Jnqv53Zc5OU8pvi8W8V4J/93F2srMzWPv65v7zi6h2xZ00ViytWEsKm9R/Z3V4CuXJ3t5HCfUFdfNkCzGUZUvyZzeRIaXU436OwI9MeTilycCsp00aJTJ5AxYPAN1Qrlmrg9HOtGtGshUzW+8xOtXjiwIB/98Epnjs2x+ZJxVzdMFEVNCqSWkVRqwqqFXdzuFR/yCN7Bd2BT0WR3mROrmVNCIkRRLGmXlHcfHmHR19o0oucTOkPE3p9RSdQBL7C9/xUP09y6TbDL//YOX769+BrezcQGUlkTNosXfRgDn1J4BvH3l5RR69VdpDKlELGyTTLez6QZ0khmwE8BXySOy+MrryZtEzGCKy8Uttixc7LBRKDQNCoaKTf5syhT/uXX/He2iMP39276dY3/q8H+OrSUSZnNk/e+bnP/m5VqtuPnJpk44xIa7bdCTMyXZ5s6cumdSGJKt3xBowS52ftEqBNDuyiKZhUe+cXQ7iCImdLirzISOUAB5VWDHoafA/XCeSnBVZBQjWVF43qkIlGn6lGm6cPDvl3H5zimaMbmJ/UzNUME1WoVwT1qqJWVdRy9k6oBDGN2oD7n/FZa1WYmirS5BlgTKpNo0SxYUbx+qu73P+4cV00oSmBXFLxJBVP42kfratIabh0m+WXfuwcP/17lq/t30BkNFFaAejKXh2TB5HMqwt9LdE6LcKSAqWzc0P++bKbMJMqIqtKo0gIjR+m9GxM6TlfeUfZOru2SQnY+XVPrLthgGogmJ0MOH3au71S2/+Hr77jHT+x/6Wja3t2X/C/FuCt1TN0O0s/7Zuj7908vYZUmkAbZDrdQRkHcLcUZSAXpTu1YPb8sCnY0+RMxt4jgeQ4c6dIzzJyufaWWQVdobuzikGtcPUZ2uJ5rrG44hsqfkK1ElOrRNQrQxq1AdMTLZ58acjP/N4sTx/eyIZJjw21hImaTcGdsndFUg0c+1eCmFoQEpshnTBAKImXMXiuwUV6gVO/OPKo+wNXLhBWmMpAPkjo+Y7BA1/iaY2nsw1oLVdcYPnATyzwr37H8LV9G4mMZpgIwsSkLC6oRIbAs/ie613VadyhlTMClJTp+UlNgey5VJiV35jlWGcM3DkJlYipDO5RsDOySic5qRV/7n6fYHkt4fTiGU4uVd87OfvMoTCM/u3/UgZ/at9RVvWWHb0jf3Clx1G2zrvuGZtV61mR23gmEWnwWPo5B3PpS6VBis2CSVsEYgVTFFlJW14zM9YuB5XZcpv67CoNprROO4PSIqSserDiJalujqhWhkw1e0zUOzyyN+bf/P4sTx3eyNyEZq6aMFGxNFJwVyvOTszAXQ0SKn5Msx6y96jlvifr+FLiqTTJVdrrJotNokQRG80d10VcdGGXQ8erzNUo+hyHCb1BysJaobWXlzkIYbl8B/zyP1ri3/6e4cEX5hhEVZcMiy21tIY78HAg19nqZfLeVqmSfIVTUpQALkogZ51eKUBuRwGeVygWK28GXGsKne2kTSpDjU1zGKyTox0LgxCW956mMfnolT/7U9+3Iwn3H1P+nr99gC8snGHD3OQFH//CY7+h+8ffsWfDaSreJN2BRxS5DJbJ2VqQqMxGcu6HUTYFs81BXV7SCjuqFLmXXZJ1bklW3zIGbmGRKrMF05qXVD552uJrg+cZAs8Q+DEVP6YShNQqQ6Yneqx2ejzwPPzyR+Z59uAssym4J6uWRlVQr4jcK3fOi3Hs7TuAV4MhYZIw6FeoKHeTSVFa+sk0q0gDTe20vB4yDC39SJQAbvD9BN/TeJ5EK5W38WVZyKt2Cn75J1b51T+P+dq+GU63mgzqksnE0ogtlXTiQODZ1PvPnBSbs3cmVTKA5583/dBlnOcKMb0oNr9WpfLbkqR01Zwp2MvyxY4CvYyHJA1IowQ6Q8nZTpcbkzPvWD3zZBLp2//3s2fOHZ3ftOFvF+B79x/j1Knqjc88s/9dJ0+8yL94j2GiUcFiCaVOM1myFFnLkvYWJfCnyRmTLdfZ3S1KJ2Y9wLNTXFaF2UVw4x4y9i668YvhQK4s1tMmHTOR5OAO/BTc010WV/v80p/W+MzX51jqTjE3IZmrpOCuON1dSwPLaiCpBTZlcKe9K0EIhNz7tM9q5DMTMFKPjRhdoZLENT80A83rru3xyP6QThQwkXesG/yhq1X3tQO4VhYlPYR0CRosXLJN8uv/W5vPP9LnF/9oIyeXpuhPaiZ9QSM21GIIIjd62VduoJGXBZpS5EFw9lwO1Ms3phB5r0h+fWBMQpaBXYqfMlfNmhKgx6RJlrxLEteRNUwEKz2JrhomvKdYOL3tXf7k/J/apHv0b5XBo7CH9qoXP/zw1//5ysILXH2RT+BFCJsQeInrSs9St3lq15bALEeAXTC1yOu1LbawocZZuyxL0hOdMUuWbs5cAJUBXFm0dMB2vZ1pf6eX4HsxFT8i8CMa1T5a97j/mYQ//EKTOx/aQGiabGgKZitOljgLMPPJVXqIlLnL7B2h9ZCHX5ykF2o21bLPM87gWZAtiWJFxVPcdGmf2DiA9yPhutazzvWhccGhFimLuxtZpMl1i2B2UvDe13ZpBKf5oy/0eeDFGc5GVXoVSTO21LV1INdpHKJsGpfYFOTZORRF7bgEScHi4zsK5lIlG1GRfbcx18uU3jNmjNHzJJ57nSWIosR1EcUWotBj79EJNjzyItffcuU/v+qam5/qdPoHGo3q/3OAnzhxiq898kUq1YnNrdXDr7n9ijV2X1BFC0WUgNYJ4AAVJxaVuH1yEiud7rZpgFkGd3qBR7Q2lLR8BoSS9VC2r4QdkyZZVs5VDLrRbiat+U7BrVwtRuBF+H5ExQup1Qb4fo+P3K35lf+xgUOL03hBhfmGYDpIaAaWegD1tMO+GrhsZyVNCLn6lSRdCZw8WWondEMfXyl8afMAk9JXyW7srHYjjD2q3oD5yT5rvQb9dPDoIHSxguclqc2nUrtTOYCPBK6u8vEdt3W5/rJFfvlPBvzZF+dYiev0Ao+6J2lqV4MTaPAVeTOEzpI++RwakWeBswRQmVRGxUoZ6Jx3BS7APQr4cVmSOWtZvVGUOImXxJpHn5vk7Kk2Q/XMa9a6nc2rq2sHzpw+xabN33j78W/O4Dbhmitfd8Gze/f9/nN7D3LDLnfHR7GbQqVV4hg0ccN5EimdS5IYjBrV5XnK1xb1DvndThFUYsV5fW6BLdhEZvXlJYDLbK5hmbmTFOQxvnaSJPCHBF6fowsxf/D5Op9+cIbDC1M0ax7TFZgKEhqBTVPvGbhlCm6ZJ4UqqfYOfHfjNOtDPvWw5sCxKpV0AlfeLkaB8nyMg00LlWLNJTvgbdd3+MO7ZujWNM109kgQpnGDMmgt07F1lEDula6VWxW2z0r+zff1uHLnSX7vzmkOn51gJa7S8zR1JailQPeldTdO6jLlq192XjP7EKfPi0ynXe+TZ8SUlU7Y9bFUmcULkIsRkMc2y4ZClP5ZoJyfvtxWnDj2IrfeeOXvX37pTW/p9VrfVKp8Q4D3+kOqFZ/Txx/ZWufpXVfvOMdkM6bih2jtpImxAmUMRqYVZyrV4UpijcmLdTIwj4K8xN5W5CyQn6yctu2IDhR5fbnNwS1TcDvXJGPvBE/HrnNHxwTBEF8P6SQhv/1xnz/6/Dynlicxqsr0hGLat0z4hlrK3LU8fS/TOpVUmqTeeQ5u32Uvh1HIgZMB3TBgKkhdnCzplLkSWRbWlmpSIk2zrtm5NUQFAzphg74vqEaWYQZwnaSJGuV8bJmVAJ8veFXMTfT48Xf0eNcdZ/mjz7f5g0/MsNSv09cVKlpR04KqsgSxdWyedVnJorwhy3KuY3LOI1fGHRZGmbzQ5KL0uszgLnZLUvaOrbOYk3QVTywIofnyowO8iX27XnNrsPX1t73qqDUDhKz8zQB+4tQ5gkpzbmFRffzJp+/xXnNln+mGSKcliZK+dvpb2bRdLNXhRSWaSGsZxoCdA1zkgD5/htKW7ECbA3tEnsi0Sk6lc1V0glYJvhdR8UN8L6Q1CHn4WclH7m7yiQdnGCQNfN9nxhdM+oa67+Zs1/wC3JVAEgSSIJUmLjGUOhMpwH3PZT6PnLE88ESNMPII6nZdgJk98jR3ep7CSOF5mtdf3+Evvtxl/8k6/Yqb9zL0LH4MXmTwQoNS0vnW6fTdfLgPxYqYGElsJLVAs3Gyz7/6nh6Xbh/yZ3c3eHzvBIv9OgPl43maihZUJQTZgKXMXpU2HXpKCeSjNSvjxVllRs9X5BKDu9ksZdeMvL4oSfMjiXUtc5GBKH2dpEaE7Fvm4oijJ77s/cNtV34c1q4edNuLf2MG371rQh4+dPDGT372oYmPfXmST10g+JE3LXLz5QkTddf8mySK2CiUknndcAZum4G9BOritSiAPQLylCFKBI7r0XFMnqeUTV7u6XS3k0sqPTI5onVEqxvx0POCP76ryd1PTrDSaiCrFRpVxaRnafqGmmep+ZaqT8rajrmrgaTiKyq+oOKTVuiZFNyGwHP6W+khL52EU62KS6yk+nY0cVLUz7gL7UAeG0kYajY2BRdv6/Pc8Zhe5DFMZ3z7IQ58KpusmyVqQI515oxYtYkkSlx9+Hte3+dNN6zylac6fPiLTR7f22S5U6Mlfbq+xlcCXwoC6RrBtXS71ClR3KRKpGW/52Hw9fUr5RtvNLeRsB7gcVa+YCC02bPFGFdXO9vo8eorWvzgG4fs2tjg2EsPTSws+zdWmhffxTcYHvQNAX7q1JlgMEx+Z9g+Vd9Q9Xnw6Q089JTmV//pSX7oLV2EqBDHHsooEqNGAG5zaSJHQV1mb4pA0ub/VzpzI9LEjhToO1liUs1tUDJxA/EzN0NGLHZi7n9C84WHGnzmgQnOteuISgWv4dHUMOG5Tp6qRyo7oOqL9JBpyWmqu31BkLF3BnAd4/tOslkbce+TAcfOVJmdFnjSpDpWFI2+JbbLy09TSdEfeuzYKHj9tT0+/fWQbuTRjwQVz+LHjsWHkS2tUir3qxFyRKa4oyAclzXVVIMh73ltn2+7fpm/erDD5x+qcf+zDc61avSFT9/XaE+hhcCTAk9KPGFTqWVRiJI0HLUPz0Pm64PNrPyWMVkCRKn+jqwro7XWgo0hCSEc8I6bl/jP/7hHHM2x9/AM+0+cq9/8mvh3AnHiUqD/NwL4A1/fT7fb4+SZDlNVmGkIDp9t8Kn7Grz++kV2bBgwGBqkUSijMYlMyziLvSsz/V0wdgHyrHvErhMmYjSgLAFbCJPagQaRAlzrBF9HVCoRg2HC/lNw9LTio/dMcNfjTc6t1sGroJseNSVpeJaGNlQ9S9WDiufAXfHcTEJXZipLh0j/3KYgNznIfc+1px06bXjuSACely7ztpSiFyMoKOvSJElrphM3zvmKnUMu29pl36ka/YqgFguCyDJUpNaeSdk7c1MyC7LQKrnPnlqRxqh0+oDHIPSoVof84JuHvP3mNb70RJePfbnG0dMV9p2qEa4FxIFmoDVSOeNAATp9zpg8ly4Uwf/4oxxfGUqfKwV4prMNFB1Z1oBNwMRgIggjds13ePcdXZqVgEOLNTq9gEB16K0eIOl/Y6vwZQF+5sxJEYaDf37PXR+b3bmlwunlhBeXQ4hDnnrB4/CSYNfWCC+2KKlJkgQj3ZbaOmNwO8bgiLQZONXaGXuP4VtkkXqu+VxSw0kSk+7ykBAEbpJqnCScXYZ7vqo5dLLKfY9WObVa5dDpOgQBqqapaEVdW+raOBfBc4PzK54b1+ZAnB0yPVQKcFLNnYLbSwg8x97uxgo5sgh7j9bw5Kg9mEsUinrwPOjKnBST9TR6XLajz8Ubejx/OKYXezQiwVCDH7uZgKoEcClFvkFAxuQwZsFlMijrm0wUUeIx9Hya1ZDvf+OQ265sc2q1zb2P+Rw+EfClJ2ucXq6Q9D2M1ES+QqRNtSLtypekGU/IZQtjC3C5pDkDe+Gs2HTKVmadpcC2aX2tjd0RxVw4G3Lt5SHCF8Qm4vSS4tQ5xbHFQ7M/+APf/c/Pnjn+gflN288bvr0swP/yzgcRmPfWzGL9sgvh2stC3nj7Gb76eJfTi0AsMdoQ1EKSMMbqQqYYK53+xgHcGpFbfznQESWPKQsubeFzjzB3SYqoBC9IiBLL4ROC5w4r7nm0xvNHfF48UqU9DBiGAXg+qukRKEFNQU0bqiUfONBZnUZWNuvqwoNUlvi+wvdlegPYQnt7icssek7nV/wIa0IWViRDG6C1xJcWXbLZxgg8B3liR/sdw9hDoJmbDpFqQDfy6GnhnI6oKBjTyoxkIKUoRbHZsCPSGMgWrWXZYCQvUfn4id7QZ34qZPvGiOsuHNIP+/zQkRbPH/W555EKzx2pcPh4hShWECisVCCcHZxng8rJ/DGAj2S38mdbek5ScGcZoIzBE4gMIkmwnuHJfZoTC5q7vu4hhjE1HeN5Z+pnTzz8Xt9TH/ifYvDO2U9wbmmg7rr3uKhUEjZOD9k422Hrhi5vu22VD30h4Ff/pM7HvlzhLTcNed01Q8A1tlZrFox0UDWSOMq22S4kivvu42MLHKBJ55d42oIwCGmJQktv4Bj96EnJn98d0IsUT79Y4eCJgKWuzzDxQfugPFRT4UtBVUFNWSoKN85MpYVHyrG27wmX9CiD25P4qSwJfAh8UtfEpcw9bfC9OM2IRlQrIedWE+75WoNWJ2BqQqBTLz4r+hIvt3ybUkBoJMOhYnZG8aabB3zp8T7HW3X6nnQyRYMXW7wo86xTj10mzi6kPOtE5r/DWF36HQ7ofqJItCL23NiHKPKclepF1P2I266IuenSIe98zYCXTkie2evRDxV/dk+NI2c9EJJeX5OEKivfxOps6R2zjEYAnvnARVWdSCzCpJsQWEO1luB5BoHhddeGvPmmATu2JNz9YJUPfWGKtqizcwq2TSZsnJTc//BxoScvVb/xh3fF//uPvOWvB/Aogampym+/5upjV8XhGvVaTLPaww8GtGN4dn/AFx6q4UvBJ79imJuOsdZy7e6I97xh4BqGE5ibMFxzRUi9YnMWz6zg9ddc5MN5Wj3BM89qltuSakXy6F6Pzz1YYRApBpHizFkfIzSR9TDCA60RgUZLia8EFWmppMAOlCVQ1tWA69Tz1QVz+1lfZg5ulfZoipy9fc/g+1mBVpKzt+9HKBXy1acUn/56A+VrZ7eN6O+XZ/DMC0/yznTFYODx9lv6fObhNn927wTduEI91eFepsOjLClj824hIWQOMPerZEnrlwBu0tEO2jG5pxWx1ug4cUBXCUq5QfpTlZhb9sTcvCfCiiHvfm2PQeTGuX32wYDH9vpUA8FSW/HM8z7tnkxVkjjvFS6SAE6i1CuGa66JmJ1MXONLYnnPG/pcszvCGpibMkxPGwJlWTgn8b+YYIdDTnY03UhxfM1wotu56vu+s/7bAvvjfy0GX1xqMTXTbH7kUx/b84WvDNTl21f4jlf3WevHPLxX8H99coavP18FpQmVYKEFC2vug7903PK5r06ANdjEMjFluPGqkEbV1QSvE9tjACd1Hda6isef82m3FFJLNxPFasdMQuPmAmuQGiklnhQOzNISSIMvHRB8Bb4qZvQ5kIui4UG7RoCs8bgMbsfwaVmtlzF4UjpiAh1hbcipJZ9wWCGYkPhp2lulVXkjWUxBoUttkdHNu9ONIow8phqKbbMhvhjQjwP6saCq3RDMrIYkS2gpWS5vlfnvcr8jC/RNkT01Ju2ZLKRRHCdp3kCl+x/FRHGCilwuQasEKWO2zpp0xTBcun1AaPtIbWi1BI8/p1nrSVSuWEaD6pErbV09eL1iuemqiIkpg43dv6mmySYyWzFWGGP5rtf12brxHL/5iSHPHqkjpebNt/S57Yq6uvjilT233PK+5j/+vk5be6O9m+sA3u2sEA7aH3jmqdOvffDxCn/18HZ+7ZN9rAkJB9DpKoyS4JfvUvcVYiytbClSlvaa5cxX66WveP4EvHsqljcrhPsd2m2pjZYgVBHkSJlaWRmo07SzJN24NfONS8867aRXpFvvkYPbtXUp/BTcviYvMXUMnrK4NvhpdtTzIoIg4sSS4U++VAft40lRBJi5PBHrGLyc6cuGhDqwucE6YeTx/jf1+av7+7y40KCbeNRitymtqwK0RSeOynICpWBPFDGOk0KyVOCVHSavhdFa4SVuXoqXAl3JImnm6sbT18Kkg4MStLAImzBbM/yDVxsQSSozAZHtn3Gea57XGAkwChPpPC5LYkGcx2fu30c4Q+D111mu37NGf9gmij20rLLagtXWudeeOXP6A8bE/+SbMviBF7+CUsKviEV2zgIrPmd7Ab0owVgDFVPSGNmHL7d9lIIIBYlni7+Xm91ljZaxWwbw0eBFSJm3oCkBnnBp5UC4akFPup+1JK2pSLvHs0IiTWkOCunObEVXfQFwmcuWwLd5S5vvm9LgnBgvZW9fR0gZcuysYLFdQWhNIBmRJ7L8tUqXuywdRoCXOh1h7DHTHLJjvs++s0P6iWaQQJCOt/PiVIfH5M5SkUJXI50K2Sl3k3Ztqagpk0YGnRgSJVE6275cpcVqCVKZdKUwhTWbglxkvxs3JUukderZdjTu8xTXv+zVU363VHs0Pttm5HsASgiqvkYQsNauc+Jsk30nl3jq0Jf88ymEdQB/5JmDCAHHznSwFpqeIQoUUmr6SdZk6j70uv+cHXvxDSVJAXBRKslECCRFithNpQJPWDyRgjaVANnr/L2U7ItSUPIGW18JB/YRcEv37GdAz4LPFNxZ9482uUTxtNOnvh8RE/H5h6ssLFbxJhR+uYaj7KAwpkjLqeusnKGU9BkM3QTbt97a5eFnB7TjCj2tqcaGME2nK1kURGUFZ0IYis6hLNAUFFlDMCadqWIhUe53aiOIlUAnMt3FztXyxCnQi2SayRNsUppS4i19LcvgTm3e3CMfL9ASo+ejLGnGQF7OmRgr04lePv3QRymYqq/SSw6ct9BjBODPPP4VJieqr/69P7n/+rOLq0SxxSLwhaWh3PizKK0ZsLnOK5jpf2Y6S34ZsmSBAJU9C4uG3GpTacrYzTcpNK7KgC3dfvLZKIQysPM5KArXj3g+gGcBZ6a7dSZLbKq3R2vJfS/C90LOtgxPHqyC9tGpPNGlAqUs2yfGEO7cpFLVXd7KJ3NPPIo8rr1oyMxkn9ZqjV6sqCnwYvddVOJmy6ioDHAcyPNfJMcqNUXaN5mWUChDYgReWhyXKEOiBHEK8nLxWlYOkW0SJkugzkomBCYFOWlJczExq5Bo65N642+VAZ7dDNn3MFnOIJFg3fWam4RETlzvTd3x6s/e+caHvv1trzs/wFe6A9rD+B9s22SueWavoR+7mm9SBhXS4gtGwF1+GM6vske+ji1VpJGBwOZAL8BhcwYfL+HUWW1EWgOelXq65uKsU8XJEpV3rxTAzppvHXunmluT6+3MEnSMXYDby6sTIwQRdz4Y8PDzDWSg8aVw87fzCsKija6o+BvPZqYFazmLu0AzMYr+wOPmy/u87bYOf3BngzAJ6CaSSmIZxuSbCBRVfyaVc2bshno5Jgejs8YUkYM7URKljGN0KdPREqZUilyuAbIFyEeyzRmTp9dZ5ALkvJbp+GMdg+fxRDZ8yH0nTyVUg4RTC0MWuvE1121a/QdxFD9U/rc5wI8fP0WjXn/TF+756veZaJEd2/s8cbyCMBpPOWD5eWZqrHQsy9B9I2CXn0vMJvKlrABDweopyEujDTLmdluQZD+TMjh5G9YIi6fdMJ4aBbcbpzDG3GnPpp+2t3k6aziIS0dESMTH7m2S2ACVZy/LAWbR15g5GyManLF2PeMaRNxsP0WSaAQe73ldjz/9/JA1E9FPKvQTgReTs7iUFhmLvOjM2YXja6ksWZOiBHJBotOxDioFubYo4+SKm0DmKhhd9ljmpcmFRVmu7izKmPOmlBzU34zJx9ByXjwVTC6EpVYNqVS6HHm6wsLCIrfe2P++a278tvuWl05/aWZ28yjAfR0D4UVbpnu7tlcWUF6Lj903R2J8vHx5+gZ33ct95rHkVk4uGZjHgT5Wnplr8THNmYG+PNtDKVFo8bTibmTYTQpsrUThpOR2oOu4d43JNmXuIsDUJfYOvJAnD0oOnK5glYeSEl8a9HidRkmAj7so2ZEX/BtR8qsdyKPYY9fmiMsu7PL1l6pEyqcfCyoSvMSiY5HKt7QLJ051ONLJhTEWHK3oHG36LtwVV++SjddTqfQrwJ3VAtm0TCBjcvLVQ4iy/s4mZq1n74LZz4Mne36qzzLcUlkCP8LS5oWTiief7nP1Vf1dF10yvKjbi76U/f0c4Mtr55CqRqVyhk73LJ9/vEkr8pn23Zfx5NhyK5wb8rLAHvkSRXiRm4Eld3AE6CVwq7zmu7DdCskiXPe8KMDtgkyRd4vrHNxyBODl4T+u254c2Hm2MmfuBF+7xI7rCoqwRPzlvTWWl6uIQDvfvXwTjteglK9OuQnAjLLqiDdtFFGkmZ2WfPfrOzx5sMkwqdBTPtXEafGsnFVJUnBna4VJPfFyZCRHypLteCvhyCRfiTLZimTz1zLfVj3V4DLb7yiTJrJojshjgtHyi1FMvLxkOZ8/URChi9GiSFGvat52wxrPvgRHl9dodxZodwf5v8kB/nO/didaSY6fW+XI2QvohT4zgaDpGbccioLBy0ry5bBdBvF43DziLpSfy4Aus/jIeLGCsWWZwZUosXgmVyRKjwLc1+kAIC/bOjDNcGqLl6fiTfo6GTm0cp07Lx6Dj9/dYCh9lFRp9nL0RhzPYI5fx3JJ6agOT7V4oogTTZBovvuNA/74rh7PHq4SKY+elPiJSd0jgUxs6TxZ115WsucykNuxfYvKTJ4Y0LmF6Cb+qrQkQCW2GNaZz2UR+Q0dj+nxjGXHAZ7PPhxjbnG+E1Q+T7b8d9zvSbKeA9vk9suHXPNvBwyip1k6cgZXgFsCuLUHgV213/qd/77zKw8u0ws0sQ8SU7KhXvYzvOwjA292v462O63X3i8vUUQOnPFxyLLE2FmQmU1t0jrb5DXV3moM3Fn63ssak42bGZK3iGU9nXF6RCgv5MApTSf0QelUntix8tjxG3f0Ao4ONBrzwtNunCLxo6l7gj1bBjx7ICQxAX3jU0lczbZONbgSbiNXl1jK2NJAXvOTMbkoMpxpPYzOB5u695SBRDrAq3R3CmmKCQHZdK0k6+7PDYAiuMwDz7HrPQ7wMnD/OggrS9koVgxCDymqhJHk3Gqdodq28+q3/Wjtgaf+Se/2a7c4gJ88cYbJ5uobN843f3qt02eyKrCYvLQxu4PK9903dUtKIB8HfPm1kKNAKIBd9DGqEiuqkaGaGcgpaqRVCdT56zTJo0i9cAduB+BiKJBXlidl9lZpX6cfstIx/F+fbLDcryACz8kTaUdWlWJwzje+ZCPTBLI5MTmDO0cljjXNmuYnv7PDV55ssjz0CaWmLyV+mtYuRj6kDF6upxeGrIzWYlJwGyxyzFkRKYPbPEjPwK6kSBncSaIkd1HIZUqhw4t2wkKLZ4Fn6XUJ3H8d4hzHXnaPWIr4RdClMVn96dMvPv+QSfp/BSmD3/WVA9QqPk88dxKTxEw2AoxxYyCSUv/ceGPpX+N2Wwf0dS5KCQgZMNycvHGJMjqYJge2FEhVjB9TJVBrKdGpJNE5wDPNbfKg0tMmB7ens/qLUfb2VITvh3z0Xo8XDlVBekgpCbLS2JK1me8Rn37Jl60mhNGEj2VEpsRGpps8eVyxq8c7bmvzx3dVMDqgL30CKfKkj5KCaCSgG2VyUWbyculyqSbGKFDWrQqumZx8tqNjdUExVqKYRVNMpnV9nEKOypPcWSnjoPzzOHt+A0KAImaxNmsWcSufFD2C6ASyrxGJ2xhCA8xNTOAHATvnm7S2BsRG0R8mhJEgSoqdFtxFsUVGvhQ0lVm6fKuNpqqzwny7bqDMiGecB5aiYPOcIb8ZwGUBcFWqodZpXYpHLkXcRNyyPDFjmtuxt6fd1KrVluGzX22w1AqgkronohSMvYxEodwQUCKH89p2pUZuk2Ruimaqqfj21/b4zMMDlrsBodL0E5nakyJ1b0TRjC2z017ocGuLrh+Tszk5WHTmrKj0tUx/lm4qcHbeyyAXUpS677Mhnqk0GdHjYkyuiPV4yYBvHbDG9pwYiR8y1yeKRbp9i2S1XWWrabK10iQKU4CfPfMsQXXqgoUTj/6zqHWU3gUBZ5ZAdlLbJybfL2e0E379nXU+S3CcxQXFBR/V3WLdzxmTK0E+Ny/vKC/N/i53uLjh7oyCO9vZIGNuVWLudQyejZsoRk5o5TKXR44KXjpWwRAgpM6bc4vqwXL8IEquRnEly7UoBZOLkjwRuZORt5slGqzmkh0huzYNWN5XxSa+Y/HEyRRdcnEK9iwXeqWCOyujhbTJQJSCT9zs9hTo5dhGGYrR2CVHS8iCjHJwG5HOUsk0uRiTKusbl/OzU574maXoSzgrV2DG6Z6b3YFktQ0nF+CZY8d461t2/LM3v/7mp5/d/+JRffCkwvPF/NKZ+E3DwUG2zV/AatujrxK0ylLx7m4tj8v9ayqUsWVplNXKqewsKTIqT0TJmRClYLMAtGNw0lHAZR+8fKRbWqsyuEsgT/er99LS0Iy9Vfqz1hFKRXz+6w0OLFXBL+SJV7Iu10su+EYCc3TMWdGvasq7m2VltKHmwtmQt97c47EXa2A84sRpcS+dACWTUalUMGdpuU0DTzdWTYws99YKjExfpyOwjcwOd+6TdMWQImV1k62wtkRUtnSTl/MbdmQ1G5ctWTJsbKFLz5VI8wZF/U55t7bB0HJ2xbA6OM4F84M3zU8N52siPqp9qWkGiv1rVV48VOfizQnDSBKbYrhlZgsJUxiD31SH58wt1uvuMVBnP48HaBmgxXmAnbO5EqUm3BK40/mExbYdrAe2LgYE5SPetElBHjt5oiKqtZCv71f81Vfr9Ac+1DRaCjwxKk3GP3/5O58X4Izp7zHLsOyLR7FmoqF55x0D7nq4x6P7fWzdo58E+IL8RlP57y908KiX5UA+UtyEKW4w5dg8kU6PmxJrZ0G9SYNLaURJf4tRx02WHLJUGbnWutLYvQwhuYsySozld/KYBdKJBE7SgbvmbuqB4JrNlg1NTb/rE4Ueen5mgOd5vGr3kM7ZkHufCgn7DgzGpB9SuqhVivFSx2/C4OJlWHydRBmdaFoElyIHTT4vT5V2b1AirU0pwF2APCubtWhdjFDW6SZMWo0C3cvZ2h1KuQDT90OiMOGur9V48XgNPA8hVQqqdG5IKbgUcpTFxXnOBWXWTmMaW8pkGptt2ydzTzxJNGGouXR7zJtv7fLM0SrD2CeRHn2j8BPGPosoGJL1ILdjnwWV3WwGowQqk6JSYBVIW+jxfEWVIE1plqEpVo187JsAYcZX7zHbuASQ8vzgER2efuBs65SsHkopS1VYJuZhw+yAzz+mePB5gTcRsdpK0D/3X+5EK027t8bBExMQSjZNJdQDB6DsThMjAaXNl9jzgXpkucl19zdg7jJrZ4HlSIBZ7EBQSJOSVZgzdgbwYnJqLlFS5naMbXOm1vlz8dpLg0utIgI/5Pljgi89XKPX96HuIUVWOUjJHjxPFrP0PcvclNWiuBOaVhaep3y2mGui8m6fRiPkzbcM+cz9A545HID2GRiJn2pxZUAlmV2XfoYESIFHUgZ7AWxrSSVpKl2kY/NsVcmCfGMd2KUpEm3ClN2U9FqagtmLc2GLCQCM4sK9YcdESqHHx+fDZz9IAb5vqVdjNs0m7NoW41UepH3iBTAROu6tYZTEDkImpIcJCm2oGA9USr/4PDpclD/TyB06tvdL6aYZYfFMjuRB5TiDO71dzmaqtBAsqyh07Vzpa12eDz4G7vTwsim0aYG/VrE7dITnRcQ24c6HqjzwfBUqGqRraPZKJbwjpbHlo/zDeR4jM7XJylnJm5ETm801KYA+HHi85ooeb311jxeOucFLVij6QuMl5J9JJAWLFx/h/ExeHmKvVGoZSsfm7me3FWSmw3O/P2P0bLVNGbxg77FrPEJw4yAvmHtc0o3LYZsTYzETXgjoDnyieIZ2x7C8tAZY9HvfFFELJC+diPnEvZZBz3XOuA9TTP5fpyO/UY6+fF1fTppkAC+1dZV3FhgB9ohUKafpS0e6Y0EB9NKhi01QM0B7JVBnzolzTNyzUhG+F/H0UcnH720APkgPIVTeRaTSjVTLWdf8e5a+vMh5qbT8ljVlueiqXEKbiHRCryjtE6+xVvOe1/W552sDHj/kJglERtFLRFrwlV74JLPjSnUgozBxzSuKUaA7Yk9vQouR6X4+WVCcaW+Zsrlwz/mKm0mSfNTeeUitXF1Y1uNjJFkmgxGYCbDS/Y7MgZJCMAiH3PNEhVOLmsBP0McXz9KoWvaf1hw+V2VrM02O6KL09Ju5AeMIP39SR+SvZQkEYuR1ytJCuBOTabuMOXJHpQTytDWt2GzKpmDPBuAX4B5h7dJz1libSRWlYjwvJkpi7nu0ynMHq+B5IF1w6QtbmhxbDqxGN3EaPW2j0LKlF3kDRKlGZKS6MJEYlToqiWYYely+a8BrbnQs3k8ciw+Fz8CATkQR+CXZKpymo5MxjZt7zmPWpQSrLNIKlMVlP61AWIEVIK0opIoo24Xlmz2TLyXAlwBdZvQycF/uMWpHW6SBbFKDVo4gLtjcZs+FXWQloOpb9P+4awopYTi0zASW6QbUAtflkm/JnV2tv05kmZ64bOPTDOSy/MXWATtl7wzQqYc8Un8iyPfeyXcvzppvRxoeiq1LlBoDd2kofu6eqASlSwBPJYqvIw6cEXz4rgbDyIOal8oT8tY0lS/HhTNQlMaOaZb1p2gE6CNjzkqbAxh7Pi2uqQeSH3hzjzsfqLP/lLv5EqPoJcpVGSZp8gfhtG2SjuUosTc5tEe9eWkLLS5TjS6NxUp3jawUDuBGFLFSxuSmcMRGJSj5JCxKxDAKavsNeXSsZA8hbD4w31iFED6enuT114a88UY30Vh97MO/vXF+qv6fVxfOXLJxEpp1RbXi2rmyctMiuSJKQBRFMiMDZHooKSin1oufZUlyyNTay8YBp89Kjlh+40c2MqHscefPutDdzkEZBXd5r56imCrd/UFHeTODp0MSGfLHn6vxp1+ahCAAVUEpTU1Zqsqm4yjIG5y9UmtckUktJ6IkxWRYRgLUIpYobMfsphWStPG36IVU0iKsYdt8yKklyRPP+cTCTR4wQiGEK6UdTbCkdCPGVhVbXl/EyKqS34i2bC0U2eyyxMqlFkW3V7GhwVisUfrzkdyKFek0tNFjfMZ8effsOHEJnyiWDENBq+uz2qpTmXjtfH3uH3xZry6fmmwEg7fs2iIQsjL24UobsWZ7V5aXstLdNRL7loLLIqgclSKjluBYDUqZtUfqwO2I9pY5GApJokraW+U7PZQ2olJ2TJJklYIZe0d4OuKl05K/+EoNN3/FsXfeuZ/9fsHIeOGieWM00BTlH3IAjYHDlGtDirmCNh1DnaQj8UyiSFSqxRPN97y+x6fvq7H3pAcyxArJIPHQaXIuj2uS9GolWeIng2pJOlmb2m9uNlb22WSKB2lBWidbMt0trfsd1qT+uHHyxqzLTFMU143cdMViN5L1HmPu8ko3uj9nsZeqq7GRRGFMqDtvmekcn9SzEwMChgx3JAxjzWDoBq9HMcQxxIklTsCIbB/EwkMdmedd1lH5hxWpPCnp8nFZUtaxcvR1GeCuiyTT36XXGZCzardMg5fA7SaymvTZ2YFKGVTmd6sYJWNUKk8SFfO5h+rsPVBobymk877zDpqxi1e6kUd/Fue9YOVFuUwcI554aSKVNsLVpsgihR9GmksvGvL2V3c59BcBYaJAaBKh6QuBTlL7jkzzZo5KWW8W1pxNUWStQNlSTYh0n1GV2VbYIsUvwEgHfJPJlJG6HPd+Zh+OSxdxPgyVXo/MGh/pQoI4tsSJIYrTDXBDw1onpDrZpzvsoRc6Ib7scsnORdrdGZbWfNp9RX8gGYQwjBwIi4Kr4oLwcgAXmUYqvmD2fnbRpRwFwvmbG0ZZO/s5Y+0M7Blz50BXZSYvdLfKgshsixNp0LIYmq9UgudFHD6j+O+fajKQHtkEraJrPl1ByjXQZetrJMJ++cfo8p26GXmtRak2pZS6L9enJEYTJx5BEvNP3tXlk/fVOHRag4rAaCLh0RcClRTVfLIcbI6BPPPmLaCzGy59T1qXnrfYlLUzT9yMsLlNf4+R7t+Y8so8bixkpypd+YrYZZQkM2SXCSDbRzNOLGFkCENDf5jQ7RuWO5YzqyHXvipkbiZEf/kxH4zisvker75MYexUXonmhqhnv0CMXpiXYfARrVeWJukHzv7b52PAMrDFGGtniZRRcJtCoshRBtcj/nYK5hG/u3RIx+KeDmmHhj/4TJNT5wJQOrUGZSpP7Ijvnb/m/Kw0vs/keYFO+eJljQflHs1sGZb5kTdDSEUSa7bMDfmxd3T45Q/7tCIXEFgrGRrlbMMk+xwWEkFxNQuQF//v/kSlF9hacuZWWWYzC0ClLRjclq6dxTF5ei6M4DyrXbGqm7JEeRl+yAh1hL0TSxQ5cHd6hrWe5cgiXH5RnzfeGHHxDou+dLOk1QoYdptIaWjWQ0xWhhgJZFTchXkMkmnJkkOwXkutv1vdvovjkfUoc2fALpqLiymtOXunBfcFoEtMrk3K6CaXJk6OmJJUyRg7zp+1itBBxCfuDPj9v2wyNJ6TJ0Ll8iRvKh6zxEZ0d/7dR6KSl2XxgqFKGc0c9FnK3mKMKfY+ypM/bivwio758Xd3eemYzx99zmlxUCRCMjAu4JQJOYMXBVgZM5VlZ2FXOlAXksXalM1FoX+zaySyvU9L58bmgW5RLmvya7zeRi6T5PiZK8viYttwJ0/6Q0N7YGn1BcYamn6Nc8sTCNFEX7snIRwYbF/j6yHbNrSoV6oMwgmWWyovk4VMahSbEI0EBSUZAqWgIvt75wP1OLjHwFN0jaTAyntDS+DOJYspSZUMzCUml0V1YK6782c3a3BlFT75lRqrwwzcDuCedNpbi1F5MrLqZHZZ6aqI8avE6FKbr4gldhqVJxSbd5mxOnEpUUZhjCZONBN+wrve0OPTD9VY7iiQERhFhNPj49WFo7fcyzO5TTPalG9A6QAvnSHuAlCZSpQSo4/HJ5k3Tybvc7IrN2cUtvQ4RaQhwViJh6A3hBNLgqWu23nu2Zc8dj4P27ck6KC6hrHLrLQXOL7kADUYRiyu1Vjr+MRxwSiFxFx/t61LxY6DmzFZQomxSzp2ZPu6co1HHliWGwxGg8psOE0B7mQkwMyCzGyfG11ib68Wc+dXKzz6XBVT0t6uqSGTJ6P1JnlrFue/mctW+PlJPGXP3EIrJMp4M0TZLktstqOd88XjxEObmJuuCHnbDT3+5PM+qBCExArB0GiUEG4LkizQFAWox+VKZg1a6+zajNmVLGSUlQKZaXLpZrwUzE0+4MmWrrkR6e8XItXr6Vkoty1mvv0Yrhz+XBwgRFpg5wu00gyTmMVhB91I0hKCmJAW/SRAf/kJzamzAV99ZAIrPRCCyUCzoWqZaURUAre7rkwpeWRb6nEJkr4nx4G9jr2L7vnR1jS7nr3FKLALFyX9WVl0OmJMytQxkTbV1SVJkjkmsiRRpHNPAi/i0HHJh+9scLbju/2upRv0rgTFjg3nWX1GDzEC+G+gTgo2zyXKqB9c3qxrZBPdUp24ktmz2/5kYz3hB9/W5aHnAg4tSBARoDBIBkKWNpFy1yCDjhi5CwuZVBTViVyHS+k2o8rZXLjXDsxp2ry0Kltb/L4ysIt+TYFI5/+5OTI2vTkKRVAUrBXevkq7tGqB5NILBe+aHtCodkHAYAiz8yHVWoQOZAPfDhm2p1nqacAyrFmCOUvVN2lFoVyXhpZj4F4nQxi7+BQSZMQaFCDS4G0U5OuZex3I8xnZ46+TXHtnLK6zccAqRskEndqCvh8xTAy/+9EmDzxZdWdNaqe9pXRdO6KYv5I3E2Sfb3zVGjsfZZyLMXCPZjAL16LIP5TLZ8tltAabl9MqksQQS42KNa+5LuQfvafNz/+uzzCWLgNlJHHqqsg0onOfLeXF8hgH6+r/KX0+97MoxQZpd711oDYpi1ucnSxFCehjuMjqRwRijLlTCVL6N4xgqOgqzWSrr92O05MNxZbpJlNNDQhOLfjE4QxDOYXes81j+7SgYrrc/aRPux2wYcJQr8gRIylb1tbp55SFKTE16wA+NrUq97vtCHsXerzo2M72n3ep+jF5Im3+nts225QkSvnI2DtJB0rGOYN7fsy9j3t8+oEaw9CDqs61d87eeWDLyLGOuUsozsFeknPj9F2KMSnm75XBDValjG5Ga8UTI5HGSZUM6HGsqdZi3vWaPnc/0Oeex5WzDZEgJJHQ9LPrlH7KrKUsZ2uZRVmlFL7j9aIuRabZTAEq/X7Z55YpS9v0ehYgdzeStSXNbccJML0Jsp/TPoTsRiBNXmUSOV1/6PUVZ1cqGAur3QGffcBywQWKzRsV+uLtA9rtDg8/0+HouQ1cMG2pVVx3hNbl3bzKSZciOCwDt3zHyfMAuxxsvBywhShS1KoEdCkKO1CmejjX3vkkVJO/zlk7O1QBbp2C2/ci1rqWOx+qsf9MxVGCcCWxItPegtIEKbsO3Pn3KGnI0SX/Gz+cFy5yS270EAW41w0HKmpUpFRIkyCNJhpqds9HvO22Lo/u9WmFafrVOD0eosj2gZCk3vhIGW2x5lhccie/IaVzW4pmiIzNU6mSM3haQ55eXyuKNrbsdSZdyR2Vor0tx5HNmDv9b6Z/z4jCKoxi6IcCr68JPI8dm1r4lQ5HF4b0kwT9+ccTzp6T3P90kw0NzVTDUq9KqoHbziOb5Zd1zZSziyMXmVG2lqXlJ9PksqS9syKlcrJk3SiCEpilynzwIriUOYBLIJdjAWWWyCm7KNJ1yhsS/sfnq/z+pxpYoZ3vPcLeFNpbnudzl4BO6cKQ5wZfBuMlWTLCkiP6O2Py9a1s2U52xhi3N6l0vriShijxkMrw4+/scfC0x+9/WhPFBcgNgqGQKJMt+Sm4y61tOaiFy+DggJjDX6Qp/ZzN08xmqvFtei1tDvTiJpA5iFM9bm1Jl5dWQ1uQY/Z7pMS19Ahc8ZgAGaYSGpDCpxpM8pqrVqhPdWk02+hBW9JveQQmYOsmQS1QVAM3FN7N8UuLhtRojchoKjaLjslrDXJGy0cHjAFElgFfYvEU0JnGLWbipd73mGMiM3CrcXkyume9SveecRo8wvMjDp6VfPq+Ot2uB1W1nr3zmu9i1SkneMr6cfx1eRn95gxeAn1JsqwrNkqbDnKgywzoEiOdFpdSE0UJjXrMO+/ocdeDVQ6eSdOvzrsiEYJ+yecVJgW3LcBuc1CnbXWUasQzSSJLhVX5e4wEkyNAlxmYUz9kBNRpeW9p1Rd2lNWttWlQK4upvBbiRBDFijAS9AZNGhVNI5ig6tfRm+aqaCqsbfWpVf20glCOjAwYTcJ8A0dk5Ci1TDHKfHmAJsZ0dxZwpuPAysFlObEjRXkwe+acmJHtNmRJlkiZOiYpk2sdM4wMdz9S5ytPVd1wcOk5gI+xd2ZbKiFGpFW2xI7WtRfiW3wzZI8S+ijQy8VEJs0eZk5KuhWJ092mkClGkgiJSiRGKKKh5g3XhLzhpj4nvuAxNE6Hp5VQxGiGgpzJ3SQskRvYWepH5ctQ5qi4e8U1uds88Zc2vaca24FXyjGg5w6LzQE8LmVtToxZfJDqelvS9DYpNriNBaEU9AfQ0QKvrZCigj9ZY0bX0bsvumCtUUnuirv17zDGTbsfn32yPhAoWLnM2JQBMH4DlALLUdYedU2EsOtZOwe6KTR4afeBcf2t8vR7UnodI6Xr1JF+zP2P+/zKhyZIrC6cE6kQQrp9gESRlh9l8NJ3lJyXvf8aScwC2RkDrpMpdkSuGLKpV2kxligclVyTS+eNC6OJY4PvJ/zMD7fZf1Jz/2MS44sUsu4LREbRHxFUtiRLzqPJcy88Tb5lnzdlZmsLQGeBaA7QEulZW3T+54w+giuRS5RM8uT2M6QFW+s/mytUs2it2BU27rpgatuaHp77yMJcIH5x4rL4O1bWYroDj2EoCSNBkria25HCqvNEvcWdVnovAyzk6fdRgKev8yCymDMtc81dtgZLwB55vR7c2XvuhnAgL1g85sSS5Pf+qsHRUwHUdM7cOXuLTHuPtqStO0rngJd5X2QAGgf6uA7PPO9sKc7/vFwbXSR/Mn88kSl7G4U0ZuTnOPLYuTnkx7+jy+EjPsdWBYgoZWqX8gmRKYNnQC8xeeaLp5dfpXeuFXZEpudxskgDSkla/psCVBZlu7aEAVECfnYjuHM39ucpvkzJ0sxq0k1aeBUlljCytHoWKyUHP/n4L1r72II+u3IOYwW+jtgwbZlOJlhaC+j1lZuPkhSD0nPWGb+IZZCPdHKMSpHzMXdZrhSsvV6ayDHNPQLw8UOVA8u0FDZ9nfgJH/7MBH/11Tq24kCNdPpbCDnSb1n0N36Djvn8+xeadt1j7O08wTNK5IVMgZFAc3R+YRpkpvMDbcrc1pqiRkWkYBca2U9412v7vHjY4wMf1IRBPHJHWuMxTGtnRJZfTxwyLVl9eAopUQA97wQqBYEZyGW67FtRTt8X/Zm2xNjl4iuLzUeUnI8wyjIpq0lJEhjGlv7QstQWdE3MRdtjZpqaKLHoZ48YAk9w+IxlbqLP971eEIYKk7hLIkWxt+JI9WBZrozIEvvyr0tae9Q5GX09wuiybA2a1PcuOlxyBpdJyUkpgztBlmpP7nks4ENfqDNI0in4IrMG3SamvrAj2vu8qfky0Nfd6OMX5RtrFZsGd7bMlmWbELuuhNbKUmZTlpwV4TZNNTItzpKGxGgCz/DDb+3ytWd87nnK2YWZN44UGKsZGteplVdQmTGZUkoAZf53DvoyyFP2NmmzReaDl+tU8tW9FIxm8qSQLyVsjTGEtTa1CS1xDMPI0u3D2bbhu9+0xO6tmoXVuuvo2ndoFq0E51YT5KY2a53EBW7a4Jm0LCchP/njl2y8ofSbAft8DoqUxUZGhU1Ysggz5h7R4WVwj0mUfOPS7IhROqI3hF/8wwkOnwqwutgteVR7U3JOzpPYYT2IS7FlAeTsgnwDQT7eGTWa0SwXX9kRmTJem2JkWnEoR1lcJAYhNDI0XLgl4md/pMXX/nVAZ5B+GZN/SBI0A5t9xvUgd8AtQJ3dnCrV0bYkS2wan9iS923TeCWbq1IGOqUEorV2ZHWUonyGikdiXCNO3pBjYKaesLHe4ILZGrP1ACkM+rZrdiCVot/rQCI5t5xQrRR78uSBgRxj8DFp8s2BXdwEmUuSAVqUtHYua1SxTYbzwUvATkGf6+2RZE5pd950C2qtI+IEfusTDZ7aV3Get8yYu3BOPFEepFnYg6Mr1LjvX3ZPsloJ8bJ8vY7Jx5yTogGi0JkOzHZ9taFwDJ4HnRmjJxIj0iNRTqoYw7WXRPzkd7X4jY9OEiYSiFMt4PRFgmJoHGOK84A8S16pXAc78CpRZDYzsEtD/rOU1o2aEMX9bu0oo2fBZn5us/qWDOxjxDDS/GDc79jY1Ow/6GPtRiYmGm6L8ve8+414foOlM89wdN9nqFRUOqrAI4uqy+l6ymDl/MAesQTLWitj6fLrscHp5V28sp3DRpnbFsFjpstVebvpUebWKkZXEr78SMAffaJBq+85DzD1vEmbdDP21mKUvYUc1eHFaLbzzCAsJ3jSn8Q4pM/D2uvwPgL0AuSjrJ35wTbX4469LUY4GzGRCmmNq1eJFc2K4Uff3eOJFwLu/rqCWoqgjMmlIDaSQX61C5BbhHNLctvS5ml7pHN4lLAliVJIE2sLEJc1eNb3mY0FXAd0yzeUKtnLxFj6kaAzhLPLQ66/5Wpuu/kq1lpdtFIaIT0CP0HoJVCSqUaV/nCSOJHEiTup5fr4shMiRqTGOODLsqTkooz44GOyRJhRkGfaewTkBXNLVdiCMt9X3QWWUsZIHbPvqOa/f7zJwWXftcHnrokmqxj0hF3fTDweVJblyYg0GZ3+Jcpnf/yRydqxWpSCxYvESt4IwWiwuS7oLBdiWZNvKisyqSIsQmpkZNk1HfNPvrvD0bOaA6cEVpcFlgDp5SAvuyp2JOPpToKVFmWywNPdIG4icyY9SixuC3Yvp+0zxs6AnhkQ7mYQI/Iv270irzzEog3ECSx2DbVGiDUhCZIg8PA8jV5qQbUmOHBK8qd3+XQijzdcZ5msSNo9hTXFLy3PABkB9FjiZoSxKVyTwi4ckydiPWuPsnlZlqT2nyjZgLJ4rWUhTfwg5mxL8IsfbPLpe2tYTxXp+FSanI+9i7rv9Sn5MrjPl9QpM3qhw0cBP8LaY2DP3ltfk1LW4RmgywFo1vkj84o+9zoNPhNDjMGTzlVpDSU//euKhTUBQQmJVgCaxEgGAjAiT8OXwW6lSxKRypMsEWozOSuKTGXupqTsLiiAXvbBM7vSmqy8w+ZsnpUKjGTE0x3zYgGbt3V5y/UtFpYEu7YamnWBsKAHoY9frZxtdWpf2r5x95v2Hlnlk1+2XH6Bx9yUpBqke0gKkRfLj9SKZOAtB4yMvpcDXFhG/PD83xuKwLMkRfIAc3wuyCi4y66JlA7cno4JMXzu4TpffqyW1ppklqBMGTxj72LX4PK8wbJbsq4stqTFKf3ZOHPn4F8fJ43IlXVzCrPyVJMu+yP1Ka7s1cVFqR8uXE2Gc0/SUWZSYqxK35MI6yoOA2154w0D3n5rjz+9SxLGwhn/OYuDRTsmz1qUUi1uUz2d15+kQLcpOViZDs9PA0tZ8tGFoQD9GNAzR0WO3RQydW6kLfIxQqYzaDxJxVdcciFccZHH4vIsSs4x1wy+NN30zyqjUP/9t36T933nDWvNKmsXzHe+t9s7wsETPsJqqoFMN3MqTXAtDaVR+ci0onS1mFsy2mJWblTIXsty25ko6kuK/54Ze6/sdyd5YCllUpIpbs5JIg2feaDK/+/3JjhyNkibGNx8QdKOHSEFgYSKdIPsdToGLpstrkrfJZ9cK1wKOmORfLiRACkl+bYqYnRIv5vUJUeK1WTm1I0fYpSpRgP1MV9eumU7I5b15RR2ZFURAjCW6WbCpRfFnDinOHBcu21j87sxe+0ozYzcqWPTcosKrLyicPQeH52nNbZwudd2/L2xv59/dmdlZhv8BoFioqHZthFmJvrc93SXvr2YRn36Xz757KFHbn317W6Pnh2blgj8gCPHz/HCiYhWT7Fjzub78uSrbC5VspqQIgt53gKqERa3jCZ5StZgrtHHmdvmUqRI9DhwyzFwO82dVgp6CUeWJH/0qTr7DwXQULkkcYkdfR72tnkbXbH6cP6O+VKwmV9wMRpQjnrg2c92/cUbueBud7vRhE/hosiR7GaRvpcCjHG7DmfeuMiZXaZLvZMqwloSo4mGlkt2Rfzwuzo89pzP0cXSUpUHnWCNIpayFFxm71sosbtj8qIuRaUBaRFsZpnMQrrk/rgAm2T4ctIk0+D5yVHuWZYGFLpiPDfdqlmz7NnZ5vFjLZ443CeOXaisATZv3wNBlYf3Rew7usJ8U1CtuL3cs1Fp5UOXGg7ECGgLKVIG9noXZRToUhj3ZyPOShFYSlFyUlSS/lmWfk9QIj1S9l7pCH7zT5vc91SlqBLMMpYZuCUEaTNxud4kkyBKlFlwvS14vo6lcQv8m5USloPLMoWN1KWUQO4ki5MDuUwRJfCXMp1SODdFGHf+jVDuZyERKIwwJD3Da68Z8r+9v81//MNJVvsZsFNmNqlcMYJYirxU1UkV8oDSSrcjWwbMzDPPVppcbqQnsVxOOwL0TKJJ8pvBWAfi7ARJkZaQKJfFDCNLty9YXKlxzUV1tlw4z0DvQdpuAXC87cDuu+996Ilf2T498dPzkwlTE5pGVVAJLIFX2r89b/It6eYxV0SMvR6xB8UoU4txQOdsnmntUe2dsbeUo5WCMm1HGwjL736qwQc/0aCTeKlrkh0O3G52HyNTYnOQUwB2PHs5wtQZmMuBJA5Af018jzD5+VrWbAnwZTYv5qeINHFSjHwTJRtRGOnOr7WpfSgRQiGEITEKYkvDi/hH7+6wsKz4b3/aLMpoM6Bne8ka5eYfZsBG5OA2JvPAHajzrh9RBJvZkTG6ESI/v7Z0fk3quEhZYv+sATo9CUUMlKSSUHNY+OzxN3PR1t6v1C+96u7hucOQEj//4Rf+G0GlGlW9+OL5afvtM03L9ISkUbVUA0vgGwIv2wLE7UymyqPSsuZgNRqAZo3AI2WvMkummJGWs3K3TuGWrAe3GHFOSp63isEzPHfQ5z99aILj54I0FZ9pbi91UBRSCCqSdBPXTHcX2lvnoypKE7Xy12ONH/nPYzPMRTZ5NdXesth6ZZ3elqOtgIU7VWwFUnauCj9+tHy3XNQ2UvGZEgmlrplsFcJaKr5hw1TCQ897LCxK521nS9KI5nINE3kCtGQT5UnQVHMXEkyM3Onrs7ci//fri8/GAm9byLss0xsnblxbp2fpDRu0uv6fHn7uwYff+tZvLzE48P3v+wdor8Lxgw9w4sjjWAKMyTqYs9l/pTrsklYtspl25ITKdT+P2oKixNqjetwUh7Al1i6kSaHFXWCpvIRnD3v85C9P8dyBAOvJQpbkDC5LtmBRczK+U8P5rMHzyZTxfsvS/mHr5cpfh8ZLF++8FzlP1ds0U+gkibSFZHHM6DxxmbN89tpNyHLMrkhw5rMILVddFPHbP73GP/pPgucOpsFJJlWgtCu4JjGCYUmK2Ky8NmVyJQr2VunfMaXg2EKRxRTZ5KvME7fFJCxKN70ltUFdg0OcWMLY0huAtQmdfsyGrVdww6tvp9sbAP96FODT03U8r8ZyI2TDzDmUnKbdDUiMyNPoSo1q6JFCq+xkjbDH6N8tA7lI/ozLE1No8vOAW5UALtOEjvYMHSv5nU/VeXpvQKIyOVLW3m4qSB5YinKGcrQmPTMRxucOrhsLMQZ6xl5/M4TbMWCXEW7LfZoj72fB6Hlqxq2b222sQBjhJEla+GREGsIKiUCm104hjCXBoIXl2kuH/ON3dvmZ3/DoxAK8MrDLr90oimE6STbzyrVId2XDonAFWdaUgC2yCsM0DQ8jjceGsXNcJk9TrG5KuPoTKdxs8PYA2lGIrSimpqZQXi8/rznAV9oVpidqB7/4+Oyhk0cnd33bNRGB56ONkyWZHi7SpoW9UqxitnSRx0BeAvb4e+uAnSd6TAr+MrjToDMLKr2YnhH80afrfPzLdYZp8VTB3Dpnb5mCO9/bMk/sjLL2y1YKloPJkcBS5N97PbK/MYevt85K5amM6nAD+SjjMqO7APT8ySCZl9cahJWuxsM6N8UFoAphDYmx+Inlu9/QY+8xzR99qkE3wp2wTAyPgBwskjB1SnwhMNJlFjP2NvnqKDCZT17S3yZ1rsbzC2UFNGJK5tfJyUitXE6gXo1439sE73qjPjQ1UTnYqEb5v8na7Pj1X/8vXHTFaw81avUNR44N7wj7IbOTgmoQUwlifD/BT3cALpp+sw74cQfElvTzWIdOufy1XEtS+vtSlHW3GZMjJk/oaJ3QjQR/+Nk6/+mDkyyspEFlaTJVXlAlJVo458SXFq80DmKd5s59+rG0faafyz+PvF/W2SUNnr03icAhrQAAOSVJREFUrsHHpNCo/i552nJ8SutoEm3E1SkBJnuvaFKx67X5GKgmmgmvuiyk3RO8cEi7JNCIDi+/LvSzKd/MItXWdhStWaNycUOnHnnZLaJotE6yI93FIUrT8nG6QZcAqoFgz1bBG27ayaZNe36r3zryB/Pbrl/P4ADTExrPCz6/e5v/jqoK/u/2zjtekqs80885FTrevvneyXmkGeWEhDIjGQmtAGNbIqzXZmFhMWBsYy82LGsbe20Mu7bBGGPwGthdLSYJkMkgAQIFJIRGQpEZjUaa0WjSzalj1Tn7x6lwqrqvEogR7B79St1dHeZ29Vtfvd/7pVNdp06l1Kbot3EcZS4r2uSGx/nIsfVIM7KsdmaWxbY5uLA5eGSps1TF5uAmv8R4zCnQHRkii5ovfq3MX/1zH0dmXWOapdvFu23NO8kY7CqgTiuQemvfVl6EbcEtO92zcudprGyiFRmqAnnLbTXJVBoljYIiIqsdW/B4n/GnZGS1QSgVSYaRFY/cvU5bs2Ig5J3/YYHpBcm/fLUKxeigxJcQ7PsOGkkQ1VsqYQJDbqyeqFQWNMc7mu1jOchxM1chSFJd4uORdtcVBBHgQeA5mqqn8T1FOyjw8OOlHx1/YuVrjU4zc0wzAP+1X34hX//8X9y6bR13VvzWqSuHZhmo1fG9NhpBo+nS6riEoUsQOsm46VijTc/hPEdXVtKVSilKQlWUFaZX0eM050TE4BZRKF6EOAXFw4+7/J+vVjg86UPRpiNZaiIizu0ll8w4qKOTYE7WouoUzPF3yjwwgE8tY3I9tQ/Ck4L5CYFOmniV5FAvp5EjEn08oSaRRq7jWy0jnh7TFJlo5Kaq3knAHrQ1K4ZDfv2KOrfd47P3oA8FLGDH97V1XIzC0sZYXE+KhIu7OlKVLFqoMMXOMmobQQ7c8ccrJehoaCtBIxQ0A03YVkit8F3J1JIZe+I+uHDnD++/4daPfOBPlgc4wODIGEJI9j12gKNL8xRLIUIHlN2AkzaA7xepN4uIjocIHcL4LI2y3lJA5KOYBtgZJzOx5ipSVJQV+DE8WySBngjYIsTxFXsPufzJh/q5cWfR8A6ZV0xSC55GLO1879xGL6ttSXIsk1kYKymWamJb+jy/TFQSOwc8eqdOPEq6LttJoEenurCKInvd/VSy1jvZIl1cKYkkDgSl1EVpJ8o50aimZscZTf78TfP88YdqPHLYN05nDPL4UpecksaJV8jU8kbxBi1M1NXRxoLbBciOEEknWpHknANaJBSlGQoWAkGzHVB0lzjz+HlKntHyHddj7dgIGzeuQivVZSy6AD6w6lJ8123/jy9OcdvdilA41JsKXzR47UuO8MaX1Cl4TtR8JroUSkwDxfinir4AMe3Iy4WJxbYfq8S6iwjQ8W0iDYoQx1Psm3D50w/XuPaGMm3h5II5NjUxVsMVUaYgPax3Xg3K8WIbnAmAY6WkB7CXXfaTOUuVJBFZ9zOvi1NoE0UlnyceS4d2ZDMthIjlQxvsKrLgOlZWVOzemvTaQGmKbsDVl9YJFfzxP9TYP1FIQd6VApnu19r0XtHCzLhXWiS/Qcx0HJ0qKik1TKluonMraCpBM1A4LPLGf3OY110ZoMNKNPhVURsaZtWWX2prFfD2tz4JwP3iCGNjtT+86Ixt2xvT0xcfnFhiVrk8NlPgw9fBppUHufKcgEarkPwxpomLSM7ALrUkseCGrtjRS5ueSMuaG4BbUUsR4riK/ZMub//7Gp//Vpm2jLLARO8tjViS9Pbusty2goLtwOX4dgbwCSnJvCZppPcMVkb/JqUnvcP20VGPRo3EEcx8Z1qVgDm9lUomoX6hZfKBItrQRJRFEwQmev3Kyxq4DrzjA/3sn/RT1Kj4Oytrc6KTOQoKKTNUwgU8BK6GMIpByAjojky7IcYGJa8uqabiZefP8VsvDSi6QxycGGB6zqfRqVEePvO7g0Pr/xBmu45rF8A3runnxhu/s7BmRd/uEzaWLxiqtp2jMyEamGj6LNQ9w8EDh1BJKxnL1rtVb1kwBrJlwWOQJwGgCNTClgdFiHBCDs24vPMfanz+hjJtJwdumXUqY+sd53nH0xkclrHeZDP5wAJ5bsv4ksK+icP4T9PZzEXvkl063WwHU2HnnqQ0JcGbFbbXNhcnsuQqIVcIZKKRC2E+ROAQtzEOggBXK666tEEQwh/9/QCHZ7yowuGJliLuwaK0oCMM0D0BLlbfQ0FSzobUiQ8bH2NXQgnNopRUihIVljg0289D+/t4/KhEeOVwZF3f7ptu+u7CRRe94MkBHq92a/FNq1f6zxvqE6eNzjhMLwSsHdeMD1SYmvNotV3rjMsC2VZIUqCr7H5h31cpqIXustzSUQSe4J+/VOHab0aWWy5vuW3H0h5t7YgnsN7x96AH3xYiQ0lSmiK6rHwO908d37Z6YCdd6bRFQ4afWxZdRZJZdvyIzljxLjXF4vI6LpKIsgKV1qCM04k0wSA3VFx9WYPdj3q89+N9BEDamTMP7BjcceaUSbsNiVqtCfCiq6tC48anQuTAxjlBMroYelJDVfDYVD/37g0oeyXueVgwNdtmw7rw3vn5+TfVarWex7bn9fQFL9jBnkMz4aJYoVtBB9xFPBfO2FSh5I5xeLKPRsunE7hmzHQsFZKVAZPihEylu50JaIXeE74dpCH5CNy4gutvLfHp68u0pJOKxDaosQEurIhltregyFtvbMD24N05cSTPx7vgnEP2EwE9T0vytxl6olMdOdWPRY66xLJhmlkYd6fNNBBSdolb9PspSWgNutLKiYolzKaVwFeaV7ywzqXnNhDJ2L3Q2oL0vgrMljw2ep/WEGhoKWhqaGujkhiH0vz9xsCYOInvaqq+Yv1gQLhUYeeDo3QCUGKWvmqHK3YM6bVjj4W9rPeyAAe4YsclXHrhBZ/Gry3d8EMYqDp4XonDU2UWGz7NtksnoSmRjknWacwmRHVX4WSfS0HuyMA4lK5CePCVW4r8p/fXuP9hHy1ljo7kb1NqErdfc2KQY1frdPc4yUcwDUDzvQfjE5mMTJhXT54M3Bk05/al6bNZp6u7JpMcgO06TXrsS/VxHYkEab9DafYpmTynlYyeM7OACCUnbe7wt783zxUX1I0HGCpzRuUBHYNddcymA2ufThzIljISYKBNd5L4q8tI9fIdTdGDahFWDUC7JZie97jseS22bF7B+uNezvrjX7XsIV4W4Js2rNV79tz3gfEVJ05tXVFh61qPwZpxOswIZUkYxg2BrE5FSeNLFTXcCaM+3WlRgp0FKK1NRJvpIagQLnzxphJv/2CNBx/1TfqfzFvtLLhFAu5eSVR22zjSOUHWc72seS8g5wH8dCjJcuBO+bdlmSExIFiPM0UR5Kw89LTaOgPy1CFN9kXGyh5ZmHSvjZrsq5bghA0d3vvb87z4whjklhVXYQr0jAWPgK4C0B3QIVprA3INrUgWjL+3iH47E5I3BqoTaGYXAnbtE+x6ZJATjj9hTovaBxWDy4YVluXgAGedcirt1hw17mRqJqRU0JSLJlRvWktIXCfWHnMtHRyjY8eAF8Q6uIpAlEqCIubdMR+PsPvFm0v8538wlhvfdiDzFjwFuGPLgmK5LEHdDWRYfl8M4Bzgu7iLnU/4VB3NnB7e06h30RBl5Y7bVt2SDoXNyXU2qhkpKCpuYqkkcR8UoWT0lTQqUsUExlCbJRHtkJM2dnj3m+fRGr5ycwmQqbnUUWQqDuKnFQwgwui3CpPfLlSSNgIHk+kZH4U0RdlcrZZaoGZD5pcC9hwuc+YFm+emJw99ctvxm5Y9vE8I8PGV463Dj8/8VrGy8rPD4d7K6rEGWsPUXJlORxqgRzm6WXDHjeYNj05BnG4keREp0KVQCAe0I/jarUXe8fc1Hng0AreMwBy3HOsBbpkHN3a0Mme9e1ES24LnwW45kVnFJKeoZEC9PFfJc+70hemeBPgiPhESMS0H6DSiib0fo7gkEmIS1bQkRSUix9I4nkrrRCcnSshSMiqH0xqtHTMcuB1y8sYO733LPErD124pmb8tBnYs6WhBUm2MiGTU+OCnUecAlxYCT4If+agiArjnmhPsyIyhNiv6Fec/f+1SiPitkZGx1hNh+AkBPjk5pwqVrXeccIqc3/fAPZV79y+gOmUcapRLEtdVUQ5BPL4vwHVDvGjme+wwJgCPL7qRYpGAPN4kKEfwjduKvO3vajz4SA7cCTXpBrcdjnfp3TSzl/U2EUzdZbmTTLaMkym6wE7ymkw2eBfGe4E7v8/OQ8mn0uZ1cLsQIDkZ4m5SMfdWcbV6rJfbVjwFstDKin6a/uMk9zHSoYgsetyFVRuQn7ihw3//HWPJr/9+0XT5E7H1TvvWJgcjMojGqlvWXGs6eDRCUwiuos5WrqMp+6aEcny8QVM1OXi4j8svuXj+jJM23DE9N694gvWEAB8aGkM6zuTDU62r7jv8/Bv/+TM7vY3jVU7d4rFhpUKXTWac65im8p4b4HstfLeD63aQMkSjkokN2R/PHCj7kq8cwbd/WOD331dj176Yc4seFtumK6n1duimJja/7tnIZ7nHKXYzVjrDSiwa85MmWeXvZxWUOCEpDfwkoI6tsbBfn41yZlrBWbkpSqtMIEhbXNyE9M23E1EbikS304BQJue8rTlhfYf3vXWe3w4EN95RIIxnjWhlfp/8l8JQOIkkRIIMwAnRWtHCpy4FRSeKyAK+J1g94nHq8S4rR1q0Cyd2XKd5VanSNznqFp/w2D4hwB3X5YFdj9LXt/XxtWvU3tM27z9e0sJxJJq4SaeZElzwW1RKDQpei4VWwNElhfTg3l0eG8ZDqv2mCdBIVVEqRC3AonNPSFNDeP3tBX7vb2rs3uelFSU5ICdAx7Le5JOpUuudzfWO+7pkHcwk0JMBerb28gn5d7xEZLUyFv4pqil6mX3C0JLkJXaYXvRqsWyuJjHQDc8W0SycNAAk7JwVK5Rv+qlECookTdCKrw5RKF4rx4zt1iEEmuPWdfjg2+b43b+p8a3bi4SxRdFxOqAZ+TdSNbGOSr9i/Zji/l0e0pXMND3mmgEq1CyKAgUpKAeCILpihAqOTguks44LLjpj79r1mx+fn9lP/9D6Zw5wACkdHnno+/tWDNZef+qpW7930607qRR9yoWQUqFDudCmWm5SrdQ5cLTN/Y9Kbr6nynfvKuJ5gv1HJIN9irKvKPqKl13c4PLzWmxeE1B0NUijf37rBxG493toL+ZqeUfSstyRFm6DO843kRZgpUVJeuVM53OibWucmeNoP59TwNMtHqBkg3t5ePfCNJbFjkPxiWKSyUWxuXb0/oxFT3t7axXPton2J1Y8joym4EbGXJwohC+TKGma1mj+UBEVM0sUoqM5bm3A+/9gnt/5a8G3b/dRgbmsFh3NpnUhl53X5FcualL0NOWCZrCq2X/Uwffgxrt8vndPifseabLv8ACzqkTBEZQ7gmZbU29pKsUFxlZt5dFD7dc/+PAt+y4+74wng++TA3zb1rUsLC1RLZcPzSy6N81N7L1wuH+RgVqL4f46wwMLKBa46QHNh66t8cWbayYnO4wbWSgOTqTy0ffv9fmXr7d5zZUNrr68SUvDrTt93vWRKrv3xeBOrXNka9Mtfi7iD7ZjacuBcSG0XQXSnUils5Y7T1Vy4M5EMmPj2uVYWifIU7DisROZgFss/3xCQezH5GiKTvuRiPzJYoX6jRW3pEUlo0nFWJRFJlzdKDYy+XwzANZclXXkjBJotq0P+MB/mudPP1zl+3d5tJTgqsubvPbKBqdtaeE6oEPT9VaFLuNDhvacvLHDW69ucd3NdT58bYtb9gxycL4PrRx8N8SVLaYWRtix7pSbtp907qFOu45fqDwpwJ8yc3z80Vtx3NJVM0fu+OzckZsYGQxx3Dnu39fi+p1Fvnxrjb0TFUQ0Ajs+2KkG2ja3YQeaIf2VkDe+ss7hKclXbi4wNeOgXIuCJPklkkyet7TbPxia7ou0BYQroip5kfb5TjptiVzVTtIBILs/rpQX9r6ke1VayeMk1Tl2RX08uCtbxZPZZxdcSLuKKFaj0vuOwHQeEGQ6FHR1CMtVTDldFVRW+zuR7RyWtKlOes5YwTonXzZoRZmlim4jtcxUMoAnmJh1+MpNPoenHN78qiX6yyG6DkHoEoQ+QegRhg6hctDagNwIFR0OTIZ86fse39zZz10PD1GiQM1rcdVLzuXyHWdevbDYuPaKS85+Srh9Ugser1XrxkHU7igVZq4bKj/8siNHd/JPnyvxtTvHeXSiRkF6DJRFMqRIAR0laCmTmGUkLAUiAAkjg4oVK0K0owmaJuW2Z4Ql9sQzVCW13rZjaafB5guiux3K7nIv26nsGdzp8Rprd9bSP42VlQwjZzKmJAJDSaK2D3aGYfwem5rEFMdYaVtxsRxOQVY+jDITlZJGpo1UlURSTKTFyIJrGXFxjRbRPqGibESNUAK/oDhy1OHohGRyWtJfDKOJcC5B4NEOCrQ7JnEvVDLpd+g4mtFahzdc2eLKc2b4xl113n/tMCvXncz27cdft3LdhjuKMwtP+dg+ZYALuZnF+cf21UZ2/O4Xrr/D+dfvrnnJd+7wcCiyYQAKrkmqipWkUEM7FNQDwRwuTa1BtSAQbFod8K43LnLVFQ3mZyW33+1z411xyYgF7Ix6YlMWUw0SJ1PFDmPSFZasI9kVihcpT+/m392V85l02VgWtJSVfEhTPF2Ek5MIe9EUUrB2cXAR0Q4s2hLp27ZyldCNRAMn6nZlaeNWU0+tDD+PlZRYYTHUU0aOqo44vMRkS5l11wMef/vJMouzkqm65M/eMM+m8ZB2IOmEHq12gWbLpxN4UVQ8ri+AGaHxvZDBapOXX1Bn/ViDtqO/dPmFz//dqemD+8/avvqnD3CAam0tn/rSrfv7Ry65r92WLxn09zI+oCh5Ook2xZHbQAk6oabQMda3E0rCNmwYa/Nnb5zn6l+qUwigMKh55Ysa/OhBn5m2jbgYWZJuJSUK42LlmfRKouoBaGlZ2Xzed8+IJmlBuX36JY+XwfLTypiNgzlduyPuLLLAz8iH+ZMjx7uTeEvGisczK421TRzSiH/HbaiEsK12pLiQ3aej18XXSSk0s03Bp75eYnLGBQ8++80yaMF/fdMca4cUS3WXZstnqVGk1faiPvRmi+dBSQHTcxWqZZ+zT9jIyNrz71PhjfuP27zj6UD26QEc4MTNazhx65r33n3vo5v8YOYVrl6gXHCiDkOaZtuMdItnqBQ9czlcbIecdPICb3rpDFftaOGGklCbtmJXXdziC99uc/0PyonF6NblYkfTdix7tHwgX4rWK8ckPQFi1CZRyrzEF50NIndi2AXGmc/qAfQnwvVySRSJchKDOopiJv1SEsfUeJNZAJO+Jgnb97bi5gSIGmP2aDshIHI2Td55rLjEOStxkEhHkUolNLf/yONzNxbjtmG0lOAz3/LBcXjDS5fYslJTbxaZWyzR7jgJsDuBpNGSNFoOYQgFL2DDmn5WlLd+ulg7773NpceeLlyfPsBPPmEd7/vo1+ZGxte+9uwT96xW7c4FSkG9CRMzHWYXQ7ww/W2UBs/TXPb8Wf7o384xUHZQrRJtoXCkSbyp9QcMDoSme1EG3N0BHRHxbrtRvd0Ztkv2y50nXVw8Y+XTTlUZLp48Fnk2kolfZp9fRlqxABz/W918OquUxAfTVlQEMaB7aeJ21b1OPy9RTeycFet1WPQlpigyjmpGlpv4JLH4uNZowoRKTc86LMy5Uf6QC55HG4fPfLfKN3/Y4g9f0eb0jWVmF4uRTm/+tiCUzCw4HJ2GpYYZS97QwzdfcMXK104d+Hx9ZN2vPfsAB3jrf7iCPbvvquvnXd5+YOfnUJ15ZhYFByZM2m/BF3hRD2fflxxfdbjkrCpBe4x53cb32nhuG88VhrepIP2VEwRagR1SapJU6ZAWMfTKMekVxEnC8vkTIP6nl6Ereaxm9nVxlqd5MHMyof1+29HsGaqP3xdRmeRz8q+zX5+APD6jrGQsYVt4WxpUqXQobPlQRlKhSpSQ9MIrjO/kFEAWEI6P4woEFb52s6KxUKS/6uJ7ZsCC75rbgtdiz+Oa6dmQ8dFq50UnXHD/926R9YsvvOyZQHX5dNknW+X+zZT7N/1gZPUZja0bFphYOsKP9gUEocZ3BZWSw0Cfx+igz9oxh2arwtHpGgv1Ms1WgU7gE4SuyTOOFYDkCOU070j3FhhgJ+VnEQVJncpsJ9he9ZXxbVfQJw7h5AGfi2hmiiBynL0L408D7F0v1Zmb5EHyOEJ3SklyPJsYoFbhQ6J5d6fMZiYoZwCe3VSShmtqLjWGqhjrboXlY3lXegjHp+w6jBVgTU1TcgUHjiqOTGtmFiQLdUmrI3BdxanHzdI/PMn+eY8Lnn/irqNHDrxZOg7PdD0jCw6waryGVkvvXDF8ob7/zh+89et37C9K7VDyoVx0qFZcqiWHahlKRVPT2eo4tNoenmuSslw31UANcKQF7vi+k1ITkYJ7OWttU5W8A0lPPp7dknMsR2myIXqRgjLH10WEPdtyiKcA9GzgxlJSdNbRxKYWWHREpPfTImR7mJX1fvLWPZYY49YUFheP/w0lTUuUOIM0CvFrJFqohNJkJKDIiruOpOpqKp6m6JmJFM1myPyiNGMAQ9MvsViQKOWz49QZFjiluePSK7/UXy3p4cHyzx7gAEJW1F07P/Gu3Qe3dsqFytv7ho/6A30utapLtexQKUG5qCjGKkuUQ24EfhlJTgYlOpNr0q2cxCVoSfAm71D21LqXoR15p3KZ29RUk2QL2hZb2GdEjFL7CpBBvwVmnX1LZl/uudRim39Ux/9FwMw4mCIGtLC0bNJMQ2lRlTjtNgG7jhSRWDHRoKK58xmuLqMTKMpWBISQSGGsuMjkFhhxwBUCXyrcKNimtRm/XW8GaK0JQ8c4rMJlv1dh+9btbW9g9L/deNu3//K1V1/9hNmCzyrAAW66w2/7xZH3vOBM1Z6dqP95GARyqF9SKWkKvsZzTPPO9MBFOQ/Rme64irt/7PLAbp8wrtaRVmfYiCJ4wvQUdDOWW/e2xvTIP8mlxD4RuOn52PIKLd6df91TMtdPdVnOZSY8HwHbzltJTXPWcVyew4uk4CH+zNjyg62+pBYbACXNfEs0WjrmPcm4QhepQk7c2ubU7R1+uMsgTJCdVqeATgCNlqITaFodRSdw6XQEzU5FDa/Y8OcXnb76bycmF9o/6SF8xhw8Xr/zhqs5ezuNKy857rqLzj9VD/RpVo4ErBptMT7YolQIibPb4h8trcBXOIWQXQdcHj/so6XhbOkEYhOOT+orIdm6uDe2I9nDki+zPw7M2Hkl5jNSBEtIaFLP6CYW2O0Huee78Ku7bw2Ic8XEeZNua+DE8p/1vl4JWPTg1eSei68KiEQLzxcux3WcoZZJ675QOdHmokKX1eOK49e0oB1CNHMougBZh8RIyhOzisPTIYcnW0zNtRldfZJuiOOu++6dsnHcKVf/pPD8yS04wMpVqxkeGXnI9SpvGqi2/5H6TXKwtsD9+ypMzw9S9CWeJxNpzLSWCCn6He7bLfnol/uYDX1wfJJJaHHLNWnyTDxpUxLLInQBtzs78Ikoy3JheqDbomM9yO/PUM/0wVOOatoKSp6uZFQQm3+ThvG7lBISZaS78mc5hSW24jqRHRGp0xrPnUqoZXywdPpNA6GoeorXvniJe/aWuXd/kdD1CePPFibPpuhLir6mqdrcvU8wXPX4jbPPUFs2b37TmrUbHpqcnPhpQPOnBPA1JzF9dFd767azPjpZuK18w23u+67/eoeJaZf1g3D8OkG5aH49KRWOG+J7AdJv83+uL3H7PVWUKEaSkoeIWh37wvTEsDm3XchgAJlTSnqAOJM1mHu+F9XoRWPyoM/z657s5Klg25YJyYI0Q0/y+njMv4nYSqKD53m1dWJEll4kdKdXYMh2XKOMQ8x9FFGbPgAZUSHMECpTyxP9xppzT2ry7144z9s/UiEIi7RCMxkCNK4D1ZLDcesll6+c59HJKQ7ObeHxef7g/HOf99G7790dnnX6ic8dgAMMjR3Pwuz+cGTDKx9WP7prYefub/VV9AKrKop2YGQex9F4rrHcntvgk9/w+My3+mlSAa+IcDwcKaLpZ2kAJwF1XFdJlookeMpZ4t5gz+8XPfaL9POiO/Fr8/9Onot0nRhPjOsEjHGww/4+PSP4lv/WZZHJnwRx6ispGPPqieWwiuhsyagz0ZdJnOC4wX08vQ2J1MoICFomMmKpCC+/pMn9+2f4l+8UqAcVWqGZkAamSsf3HAarRU47fjXlsRcuqNIFDz928FB4+inH/7Rg+dMDOIBwqux8oP2li889581DFfH+T3/+W0NaN/FdokFWAcVCm8G+Ot+5W/OX/3OI/ZMDiFIJ13HwpaAQpb06NggxB9745Mtz65itdlGPJ6IrPUDPMvtsOJN7nW3C85a8p9+ZR28etHnrTS4vJfOa1OJq29kkR08yFpvIaud7IFr/DuY5YfkBaRQ1MgQiKlgWChkVKJtmQZIVww3e8ZtzHJny+cZOn0Xfpz+QtDuadkfRCQKWWgMsupdMb9149u+h5r60sNS7Q9VzAuDVviEA6ktz17xwx/luvcF79z906+jo4Az91RZ9lSaDtUUmF5t89uZ+9kyP4JWLlFxByYlnVupMclOv1eXIkQNwDD4sq29b+wTYogv0+eBNptFmD+pi05yef+tTMeO9HlpKSfeJYGy/tvh31qKn9YwZa21zdYuKJIG2KBpKXL1vcfD0D0kd4OzPYMqfpHBxpKIdeITKZc1AnZdduMBdDxeYWhqh7ElKnsKbDVjdHua4E8+fWLPpgj+anetcMziw7qcJR+CnDPB4lSv9LC4ufvyKF14gbxAH/6rYOTA62NdmZGCRpVad93x6gM/cuIJqsUhfAUqOxo24dPwjaoyclEbmeh1Us1Pk9OdMpDFniVMeLnpbc0QGyIgs0CGrsJib7OCkp7q6/Mq8Bt4lD2b5uIiPlUVvIvk6ahto3pw4jjqu9IkcPnRipRNOjs4cZ/uI60juSdrGQTq3PhPgMV0W2m2PIHT5tQuXqDdneM+nXA4vDJq+hF7Itm1rJ9ZuuvAdSoUfHxzofzagyDOPgT7Jeve7301t7ba7Zpf0xNZVrYsGykdKoZjnPZ/p55pvrKLqFhivKgYKmrKvKbrgOdFY7aTLqw22buQkSohVHZPOz8nttwr0k7mWufcIa79I9sezKtPXC2HP5EmfS2fpRIlX0v4O+VvrahD9L5nwlny3fJqASKZn21eYzGujJ7NXHGFdtexjl44RyReKZAeOpe9LJMVEIjRboCSdwKXdiTePdsel1fZxpMcZWwNqlTo/2CVptAqcffLK6X//K4W30fnRx4fGzn+2YPjsARzghi9/gX/4i6vuqfVVHxNO47L3fqpd+My3VzDge6yuhQyUNdUiFD2N76TAy3JjW69NNeO8MxmDNCk1i3802QPsQnSdDEJk9ydAlelJJISwwG2B1QK2zO17MoDbcmXPANOyznKq3XeBPTpAInqiy9/Ib8m4RGtidTKEK7qyCp3+UVjgDp0ol9uhEzi0Oy6Nlku95dFomZE3rY6LFC6nbgkp+w0CZ8vC8Rs2vnnX3sonLrv8NfopwukZrWeFothr7crDqjDKp2+7ZV0wMTv+vyriQHHNQMhwFUoFaUY2K0Gro2m0NK1AI0MIQ0GgAEwkLSQdXR0fZkT2sh6v2Nr06oGSAJDu5/LAyujcOkddbAAJi7aQs6bpX5tZNq1NhJFc1DGm1wklzvBsi5aQKh5JYEjEczOtSKWVmprIiPHfYecEZPwXuxuZyR9XUXfaMIwKWaJ87iCQtDoO9aZLq232OVJTLvp0AoeR/pBf3bGpWRkafd31PxKf2zi+9BOF4Z/KelYtOMBf/PdvQvl1WnTW/Xi6JR8ol52XFtScu2FFgf6qR7XkUCqY9g/NTtTHA6KWDSLKPxZ0lIiamYpcu+ZuqhFb8kwxb0JVRI6SpNY4teTW59rUJUdPUqsd7+9trbNXJesEs9pS0OME663wdDvGyWlkWXF67EveH1nj2JmXgqRA2Ry7qOjYsUc9ps6/jqKXQShNh+EE5Abg03MeU3MO80sy2hykCFm9ZlVzcGj1v9u24eQvvPScxfAVv/rqZxt+zz7AAb57w2cZP/PF+h9vPvnHr724seukje6VG1ZMeqWCpOD7rB6FxyabTMxEwZyIi8fWvRMKWoGZstXSpp+0JgvCBNTRfdeuThcx0EXXiWDohzWHsgf/T6mK6HFCCOszbL5uO7FZgBODOAZ3F0jNjrgNZk9Z0wJn/GQW7DHQLdJNrxNIY4/0k0m1fVR976hkk9EId60lQeDQars0Ox6dwDFXC6kpFjrMLzW4a7dLuwOHZkJ2HWgzPr6+Pjq29tWbT3nsc7reUKObXvuzgN5PnovyVNc//vEr+OTrH9T4d322b3jsdfPByrl2oFkz1uF5J8yy0JnlaFQsXfCgXBCUC+Z+oGCuJZluwlxHsxBAPRS0lGmmnrnOiSw1sfn0sgUR9uMYVBZYsO9HCMk6ayK93xWcF5kP0hbjtMlnRimJdvR8rbZvs7p2Sl1EMoLPLjCOAz9apU3w7bwU+ytKgWmiKkM8N8BzOxT9FtVSk3KxjeNoWh2XesOl3nRotR0EMDawRKXvMHc+1Obxo21KvmLH80fnNqzvf92td3/1s9/8+im6f+0bf1awe/Y5uL1e9cpX8PFPfJxNK1Z9cmFg2Cs4S39bET8YPjJzlMnFIQqupOArKkVJwTeoUFpDPWCkv85w2GHflEtHF2h4HiCT0dyxhGVbuiR3JedoZoAts4lW+ZW3nJBVNVKLaDl9OQky+aD86qEnZ6KSIse1c7Jh0rzV/sgkEiOiZpnCdKNCRJZAJ0oLSpvBrXEhg0z/MDMITJtmqm6bQqENOuDwtKATBgTKZbFRY2LWRwDFgnl9q+3RX/Go9s+wEKzl8lNOnlo5Vvn9dlD65JYNl3D5FVf9LCH3swU4wGt+/TUANOuz/1tI3507ynve/9726PREyKoBqJYk/X0OfWWXoi8Y6g846+QpLjpjiqLf5h//tcy13+mnQx9tUaSjBUUb3NjgzVpvEVEQR6SWN89ls0AlRY+29lm7sxy5t/W2aUf8Ub0CODFYM/koUWBHJ8I3SRCo2xGNT5H0349BroVGy+jsUDEHNwGhTAUP6fc0gwxCSoUWnt/gMzf6fOS6fhzfY8fJgpovWaxLCj7UKobbe16F4VrIW1/ucbhz3sSvvfiSt7c7wf8eHRn4WUMNOAYAj1exPMDcwsLHioNXissuGPqrFaUbRhcWJqg3q4z0e6walQzVQooFWDFcZe24YrC2yF+8dglHhFx7k0Mr9AlcJ62SsnhlOl8+3zmqW0npkueeykqctLzsl3M06fGZuicWu9NcBUlxgcidaJk3RpcCLawPSv4tYfU+iV4Unfhh9Hda0wRJp0kYbu65AZoWn/qOz3/52Gomp/oZqEo684oVAyEFv8Vgn2TlqEulKHhgb0Bf32pedNnFE6Nrz38H8LF+b+BYwezYARygv6+P+fmlj/7KFWcHp24V7/vCV785eGB/m7Xjms1r5yiXFpidr3DgaJVWx2V8yGf1qODNv7rAd+5u8PhsH6HvZHTwpN2ZTB1LW1FJlA6yVMNeTwbyhHfboEYkTigiB/rcJyb5Irn9sS8RV73kE6fy0dzsZ8ZyppU3El91dOpnkPsMKUwClJQCx+Ls8RsLfsDkvOJDnxtmYqaftSOSNf2KkZqg3gk4NN3g6EKBQMHKEUltsJ81Gy+ZGRg/521o5395fulYQuzYAhygVqsQqvY1m7aeNd03eHjzv9mm/5vfudH70SNN7n3YZ7jssnLERYgiRT+gWi4zPtjgnBNafP5WhbSCE0m7ZBmrKim4HSftN5jJCoRlcgCWW8K610vhyAZ64nckRQ0W8Y4z+VI5MUpHtcrLEmdTLAfurCeaNAfKOaNCRPPhdTSfMnreyJ8aFUpCqQmVymQFCjQ/eNDn4HSF/rLDSDlkpCZYv8Jj1bhgYKDFD3ctsmtvyGU7LuicuLnzhxu2n/6wdL2veP4T9+7+WaxjDnAAR/pqz56Hv/Tqq3/Vn5q6p37Pg50P7T9yj6h4HbnviMSRiuF+h6WmR7vtEeLSaJl6zThn3HWyVMTeXFdkJEKbV2dwYN0X9nPCTjUyKwW1aWsWN9oUNgXKnSwZwGKzjagXoRRIK+daa5ttmJ7eXRp3nuNbn60tpUVE5l1auT0IEEogQ2mqq+Lwe6ijKKWpmy34AseXlNBUC5pqyWF0yGHdeJtDkx6nbe5Tl198sl4xvuW3t2w/5X8ePHywvXHz8LGGFfAzlAmfbG3Zspm9hx5pK3/0mtlg6wkvuvD4PznhuAEc0UYpaLcF7bbRWxtteORwAd9xqHiagqvxnKggObbejjB6uiOiDTxH4LqmZ4vrCBwn1auBFHzaBghdpjOvqKQaMtnusT2Um/jjlDa9tcNoM7JedKvjEYEWPbFSFJK0YNI6UzvBLH6P0oIghCA0NZCdQNAJhOkPGAiCwEQjg1BYBeGSIJBJPkkn8NmwQlEthKbCyhX4vqFk9WaI8kfR/rY/edEF607YtnXgmoXF3e2Nm7ccazgl6zlhweN1rqniaNy78xO7Tzq9/z3X/Eu/f+6ZU++cnT7otDoBYWh0gal5aIQl+gqSmh9S8jDFzU7OckszwMhzI0BHjWoB0NHkMKt/n4qT/+OXiWwz+V5Aj9sjZ1oj24AjugIoG7AmYptIm/ELZWyCReJX9KJPPfNJEtOd5u4oRTTqMf0YgQmkmbIzlfgpoQKpBJ1QZk7upUaAJ1v093VYWtRJMK0TepRrJ4Wrhwf/8q+/XHiP8KfC33r1M2vO82yu5xTA43XyGb/Opz/7pfA3f/0lfzozM+3ecsstf7D3oXsKiklaQZvPfLfM3Ewf64YUAyVjvWPxwA7cuI7AcyW+Z7psxWF6rSGMWuBqDSqMhubl6UPygVh5IimxsCOUcSg/PrlsKmFbYrTp/hUqnVS9Eyk/GjNKD2IJz3Isu64Y2WSo5NQQGh1GMQQVW/AU5DHAPRcgoiaOwI17qihBK3Ro4dDquGgtWDPe5hUvWOADn+3DdYusXjnMOWef3jrrrHP/Zmh4+E9vvvGLXPCCp99W7WexnpMAB3jF1S+hvrTI/GLrneeff6HcuGH9uYf2/qs8ODd/7nfuDNw1AzBe0/SVJFLAQkPTimL4nhP/iALfFRQ8ie9JHMdU6SsFQWhmqodKoUMVgS4FeEopjI4shDbxEisHJubgUhg65NjpvvHVIqIbBGbIhTm5FGFoKErsZErLqYTISY3e62hbxtQpHUpATpQMFUUqtSZUMUURtDqGosTnq7Hg5irhSIHvxftN7kmz7TK/6CKkptl20GjOO36SW07wg0F/5Pu//MsvVVs2b/i+5+p3zs8vUKv1HWu4LLueswAHKFeq8d13PLrnnzn73FV99+4e+6eLTp17+eTRw7K/1Gao36fgweHZBvc8YqZzea5RVDxXUChISgWXgm9oSgzwVsdY43YnBjyEYZrsH+ebGC9FG4tqRRHBgNCe4BBTIntSA6RgCkLDvTuBphMoVJQaaX9GPB9SxXN1FOgoY0gQ83odgdH4HbH2b9QaE6mMw/TtABotaLeV6SeI8UPCUIA2x8QMntKUih18t82egxWOThbwPOivaIQcZHxsq3rJC8avPTxX/I/fu/NHC6eccuqxhsdTWs9pgNtrw5bXsWfP3oXNm4pvefXLD+659fadJ432Lb2stfAoQ/2CwcF5Zr/qsHtPjWpRI6XA9ySlgkO1LCkVwPcMGMIQGi3TNmyxHtDumNbPZjZjKiHKqIGOQ0oNlCK1sliqjRPz/Wj0tCTJwNNa4znGmgaBotEM6QSGEsUyneMIdELezeBVJUXGuUySyiJfw3XSUSW2dfeUOZEbbUGrDYv1kGYrJAzNcfFcQSdw0NrB80w/bldqauUm9+5b4hPfLjDkNSgXQs45cyvVwb7rxtaded+VJ6z+uzBoLoyt+OmXlj1b6+cG4ABbtmwCmJyZPPDHZ5169fqJI7s5/Pjwyw4euI/1ox22rVni7gcqaC1xHUGx4NBXceivaCplRdE3YAhDQattOO7eAzCzkFavxHN74qBNXLQbO31OFBfP0xPPAc/VEcg1nqsTAMbzdKTU7D2gmJpTybwdo9ULXNemR5pQahyVOrcCMyjXcczneq7CjU6gNNU1BXy1LBDC45HHBZOzAa22IgzNieH7gkrHfK+C59Apm3+zVGhx/76Ahx7VvPCMIqefdiLbtx133bZTtv3e3MLSvtUjY8caAk97/VwBPF6DI2toN6b2rVu/7W0K75py/+bfler+ixaWbicMWkhZpOAJqmXJUE0xVAuoVQIqpQDPDZFCsNRwWTXaZrrR4p5bq1RdQdnX+K6xkHFbuFAaiZEI+CbZ3/wdMRd2HbN5LhQ8je8pPDe+VRQ8xVCtRaHU4HPfLzE1WWC4qil46YkRKplIgybRSaBcndQ6xlcU19F4jsJ3VcKZ4+ccR+F7ilIhoOjXuW23z849VVSgWWhKpDSSasVXNMuGp/u+oL8TT1jocNy6Cr/5sufz0kuP+55frPzdmjUb72l1Ovs2b1p7rH/2Z7R+LgEO4JeGAfYEod4jBPc9vjdYuWPH1o+sXPHwlh/ff58jpWaoplkxHDAy0GCoVqdSquP5DW65t8DKgQFWDGsuO2eWG+6RHJ7oY82AyYhDQEhc2KtxXQCR0II09yXW2k2T/4KnKXgK3zeg9j1FwQ8oFwNGhxaph3PMNIY5NF/ClZpKwbwnVALPVcTpWlJKk8kXkigpQqS0xHyuwnMUQsZTH4x1972Q0YE6h2bm+MbOQSYnYahfs3bNNDfd5+PIIrWCw1hT0w4CXAfGByVziw4t99Lwiss37KncUXnDueeedwjYnU9j+HlbP7cAT76AIwB23/PQ5O7jtoSXrxutrb7y0rOv/eEPbq6tG360smbkMMP9dRB1PvivFe7YPUan7nLxSUUuPE3TX51n9UiDA4erBKFAFAx1aHUMhwUzhgVt9vtuql/HRRauC75rwF0sKIp+iO+ZreiHlIttKsUmvtuCMGCxBYvttOG8CfakcqKUGtdRKCUN5yeWPU2T+KIfUioGFPwQATRaHq22REYlYp7b4rEpzcJSgRUDkgtPlVx0huA3L5vnjoem+eB1AxxdKDE8r/GKZc4b2bD0/AvPm1dh+6qRsfHHr3qps+/nHdgJPo71H/DTWqdsHUFrvQ/GHpueqZ84XAufPzZ42j8dmXigemhq58BnvnWIT94wznEjPq5ssu+Iw/Y5QbXqUKvoSAXRFD1BuSCQjuZoS7G45DBYBDB6e8EnoSgydi4dTcE34C4VQop+ENGTEN8PKHgdXDdAihB0SCvUNAKBH+VppwA3H+xIQ0WCUKF0NFUuBrhrwF2rtKiWGyzUYXJugHrDp1wKKReN0zhXl2gtGO6TrB/XtFoOnh7lNy45QtmbZOejmxZOOfGs6VO3neSuHnJev3rN5ts8vzKntFZCPGcC3D/x+oUBOCRJVKrT2D9TK6/4hlv42Iaa/P1XFwdf/PtzN3y9vXH1Y+KiE9rbKpV68Z4HO3iOZGpBsWt/BV8Iip6mUhSsHPY5fXuLSv8h/uyaGgcn+nEdQcHTlMPI6YukPc8hsqqKcjGgUupQ9ENcx7SMdp04ISxyZNGEaAIt6SiBDjTtQNAOIAiNkuNIhecS5YLopA+hE51I5WKH0aFFDk0v8F+vGWLA8zl9q8eqUUG15BKGRY5b3WKo2qbZUYQq5PbdLiPV0eZJ28s/fuO/XevNqsuu2Xz62/76O984rzAyWms+/Ni82r6l+pP+BM+59QsF8Hh5pXUAampOIaT4mJSNj4PLW15xsrN2vPqhex6eOu4UeeSCcnWf84OHKpREhY2jZoah73kM9jsM1VxO2ezymksm+MtrPKaXyvQVwigCaXHiiJqUCiHVcoehWoNKsYXS0Gj5ZoJYnJ0XZZA4iGRCXDsQLLRNUKZWgFGtEioSBHFIP/73DMceqDYplWb5xI0l7tzVzxnrNNPzmuEBSScI2bXfpVQc5PyT4eHHioyuWB3u2DF0874jK3Y/OjP3pjPGDoVVt8zRXe/XY+Nb6sf693o21y8kwOM13G/VYAEfhmByav4/btleHBThkXfvvOuL/m0PFsNfOqt2xtBgeOa3bp+k0WzgIHGdgEZbcNb2Ni+9eIZv3+nR7LgW/47kQddY70oxYGSgTqk4x0MHAxoNl+G+Mlp7AAShY2ohhaTgCCq+pq9orPnadYssNBV7D1QJlYfnKko+ZhxjaBKw0CCkpuCFOE6dL9zkcvsDJXxX02qHLC610KEm0B77ptcwPlC886odB3besmujc8Y5L25vWD/yn9dubs2UK/3RIfntY/3z/EzWLzTAe62R4RrADPBGgAfvuQlHiouOzDcuqw0tXtWqN45fM9pmZe0uHj5c4fo7fK44s8GBiXkmDg/gSJmE8WNp0PMUfZUOQi5wzbc1X/7+EGNlj0tO62PduAnztzsuSpuhWgUHagXFeL9gzQqXS8/WDNRmue72Jb7w3THmmx59JcPBg1ChtRmFHoYSzw34wW7Fp781xEvPDrltl2R+tsqJJ29j+9YSxZK/yx8qXdvs9H/zcEN/7y2vP5+3HOuDfgzX/3MAz6/tp1wI8L3ZmZnvnbydm5YawWaXCVU/fL86uHTSxpNOXPf2oaE9/NLz4a67F6A9xfyioK9s1BXPMbzac1tcd6vgf3xphIqsMuLCwQmPaglqFQ+lXJNvogS+hEoBBmsOK4d9HIYZrnq84UWTtNozfOe2EcIQWm1FoxnQbiscoVhY1MwsjeCUN3Ha9gIvvHAVhb6J93zl5oVHzjr7PLll/ZAMlffwevjGwMDAsT60z4n1/zzA4zUwOAjwjfjxzNQEl2wpDMxMH/r+gQOajR06px0/+NZOJ3hhq6MYqAo6C3dSX1pioeHTDlvMLnpsHK7Sai1ScF0aTZhdcGgMaiZmA/Yd6jA2uMD8XAm0g+cI0AGzCx0mpjtIZwWbVobcO+izasyn2QoQfh8XXXw248MmhztU8vpiOP2+EzuOVx46jdf9xqrv/cbL27NjowPH+hA+J9f/B/gya3B4FGAW+CLA1ORRhODHi/XOeLujVMELeGzXA7RbTVpLHooCRa/T+b1/f867br9/4sVDZdkJQpd1qxxGV4Qcbc6zf7bD77wq5N49ZRYWSqwdc9i8xuSljK5Y8h45vPrLS/Wb31Uted5AX4EJJfAKVbYedwIDNZcgELIVuEeARy66YPxYH6Kfi/WLoeY/R9aeXbfgSDH+5e892l8rSD2zKNm62mHVqOLAZJ1790pedWmdH+1xefxIlRXDkq1rW0zPC1avaIi9R46bk+gjL7z04mP9VX5h1v8FzWGqREDIfxwAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTY6NTM6MzErMDA6MDDMkgAkAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE2OjUzOjMxKzAwOjAwvc+4mAAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 31615555
    {'hecke_orbit_code': 9008092675047584, 'n': 1, 'trace_an': 8}
  • id: 31615556
    {'hecke_orbit_code': 9008092675047584, 'n': 2, 'trace_an': 0}
  • id: 31615557
    {'hecke_orbit_code': 9008092675047584, 'n': 3, 'trace_an': -6}
  • id: 31615558
    {'hecke_orbit_code': 9008092675047584, 'n': 4, 'trace_an': 0}
  • id: 31615559
    {'hecke_orbit_code': 9008092675047584, 'n': 5, 'trace_an': -6}
  • id: 31615560
    {'hecke_orbit_code': 9008092675047584, 'n': 6, 'trace_an': 0}
  • id: 31615561
    {'hecke_orbit_code': 9008092675047584, 'n': 7, 'trace_an': -70}
  • id: 31615562
    {'hecke_orbit_code': 9008092675047584, 'n': 8, 'trace_an': 0}
  • id: 31615563
    {'hecke_orbit_code': 9008092675047584, 'n': 9, 'trace_an': 0}
  • id: 31615564
    {'hecke_orbit_code': 9008092675047584, 'n': 10, 'trace_an': 0}
  • id: 31615565
    {'hecke_orbit_code': 9008092675047584, 'n': 11, 'trace_an': 0}
  • id: 31615566
    {'hecke_orbit_code': 9008092675047584, 'n': 12, 'trace_an': 0}
  • id: 31615567
    {'hecke_orbit_code': 9008092675047584, 'n': 13, 'trace_an': 144}
  • id: 31615568
    {'hecke_orbit_code': 9008092675047584, 'n': 14, 'trace_an': 0}
  • id: 31615569
    {'hecke_orbit_code': 9008092675047584, 'n': 15, 'trace_an': 134}
  • id: 31615570
    {'hecke_orbit_code': 9008092675047584, 'n': 16, 'trace_an': 0}
  • id: 31615571
    {'hecke_orbit_code': 9008092675047584, 'n': 17, 'trace_an': -100}
  • id: 31615572
    {'hecke_orbit_code': 9008092675047584, 'n': 18, 'trace_an': 0}
  • id: 31615573
    {'hecke_orbit_code': 9008092675047584, 'n': 19, 'trace_an': -176}
  • id: 31615574
    {'hecke_orbit_code': 9008092675047584, 'n': 20, 'trace_an': 0}
  • id: 31615575
    {'hecke_orbit_code': 9008092675047584, 'n': 21, 'trace_an': -516}
  • id: 31615576
    {'hecke_orbit_code': 9008092675047584, 'n': 22, 'trace_an': 0}
  • id: 31615577
    {'hecke_orbit_code': 9008092675047584, 'n': 23, 'trace_an': 198}
  • id: 31615578
    {'hecke_orbit_code': 9008092675047584, 'n': 24, 'trace_an': 0}
  • id: 31615579
    {'hecke_orbit_code': 9008092675047584, 'n': 25, 'trace_an': -172}
  • id: 31615580
    {'hecke_orbit_code': 9008092675047584, 'n': 26, 'trace_an': 0}
  • id: 31615581
    {'hecke_orbit_code': 9008092675047584, 'n': 27, 'trace_an': 288}
  • id: 31615582
    {'hecke_orbit_code': 9008092675047584, 'n': 28, 'trace_an': 0}
  • id: 31615583
    {'hecke_orbit_code': 9008092675047584, 'n': 29, 'trace_an': 0}
  • id: 31615584
    {'hecke_orbit_code': 9008092675047584, 'n': 30, 'trace_an': 0}
  • id: 31615585
    {'hecke_orbit_code': 9008092675047584, 'n': 31, 'trace_an': 0}
  • id: 31615586
    {'hecke_orbit_code': 9008092675047584, 'n': 32, 'trace_an': 0}
  • id: 31615587
    {'hecke_orbit_code': 9008092675047584, 'n': 33, 'trace_an': 172}
  • id: 31615588
    {'hecke_orbit_code': 9008092675047584, 'n': 34, 'trace_an': 0}
  • id: 31615589
    {'hecke_orbit_code': 9008092675047584, 'n': 35, 'trace_an': -170}
  • id: 31615590
    {'hecke_orbit_code': 9008092675047584, 'n': 36, 'trace_an': 0}
  • id: 31615591
    {'hecke_orbit_code': 9008092675047584, 'n': 37, 'trace_an': 492}
  • id: 31615592
    {'hecke_orbit_code': 9008092675047584, 'n': 38, 'trace_an': 0}
  • id: 31615593
    {'hecke_orbit_code': 9008092675047584, 'n': 39, 'trace_an': -756}
  • id: 31615594
    {'hecke_orbit_code': 9008092675047584, 'n': 40, 'trace_an': 0}
  • id: 31615595
    {'hecke_orbit_code': 9008092675047584, 'n': 41, 'trace_an': -28}
  • id: 31615596
    {'hecke_orbit_code': 9008092675047584, 'n': 42, 'trace_an': 0}
  • id: 31615597
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  • id: 31615598
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  • id: 31615599
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  • id: 31615600
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  • id: 31615601
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  • id: 31615602
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  • id: 31615603
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  • id: 31615604
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  • id: 31615605
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  • id: 31615607
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  • id: 31615608
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  • id: 31615609
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  • id: 31615610
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  • id: 31615611
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  • id: 31615612
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  • id: 31615613
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  • id: 31615614
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  • id: 31615615
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  • id: 31615616
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  • id: 31615617
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  • id: 31615618
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  • id: 31615619
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  • id: 31615620
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  • id: 31615621
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  • id: 31615622
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  • id: 31615623
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  • id: 31615631
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  • id: 31615633
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  • id: 31615640
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  • id: 31615641
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  • id: 31615642
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  • id: 31615643
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  • id: 31615649
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  • id: 31615660
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  • id: 31615661
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  • id: 31615662
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  • id: 31615664
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  • id: 31615666
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  • id: 31615668
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  • id: 31615670
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  • id: 31615671
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  • id: 31615672
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  • id: 31615673
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  • id: 31615674
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  • id: 31615675
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  • id: 31615676
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  • id: 31615677
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  • id: 31615679
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  • id: 31615680
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  • id: 31615681
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  • id: 31615682
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  • id: 31615683
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  • id: 31615684
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  • id: 31615685
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  • id: 31615686
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  • id: 31615687
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  • id: 31615688
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  • id: 31615691
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  • id: 31615692
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  • id: 31615694
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  • id: 31615695
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  • id: 31615696
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  • id: 31615697
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  • id: 31615698
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  • id: 31615699
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  • id: 31615700
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  • id: 31615701
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  • id: 31615702
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  • id: 31615703
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  • id: 31615704
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  • id: 31615705
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  • id: 31615706
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  • id: 31615707
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  • id: 31615708
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  • id: 31615709
    {'hecke_orbit_code': 9008092675047584, 'n': 359, 'trace_an': 38880}
  • id: 31615710
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  • id: 31615711
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  • id: 31615712
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  • id: 31615713
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  • id: 31615714
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  • id: 31615715
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  • id: 31615716
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  • id: 31615717
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  • id: 31615718
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  • id: 31615719
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  • id: 31615720
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  • id: 31615721
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  • id: 31615722
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  • id: 31615723
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  • id: 31615724
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  • id: 31615725
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  • id: 31615726
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  • id: 31615727
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  • id: 31615728
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  • id: 31615729
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  • id: 31615730
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  • id: 31615731
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  • id: 31615732
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  • id: 31615733
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  • id: 31615734
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  • id: 31615735
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  • id: 31615736
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  • id: 31615737
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  • id: 31615738
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  • id: 31615739
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  • id: 31615740
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  • id: 31615741
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  • id: 31615742
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  • id: 31615743
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  • id: 31615744
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  • id: 31615745
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  • id: 31615746
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  • id: 31615747
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  • id: 31615748
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  • id: 31615749
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  • id: 31615750
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  • id: 31615751
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  • id: 31615752
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  • id: 31615753
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  • id: 31615754
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  • id: 31615755
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  • id: 31615756
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  • id: 31615757
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  • id: 31615758
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  • id: 31615759
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  • id: 31615760
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  • id: 31615761
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  • id: 31615762
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  • id: 31615763
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  • id: 31615764
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  • id: 31615765
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  • id: 31615766
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  • id: 31615767
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  • id: 31615769
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  • id: 31615770
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  • id: 31615771
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  • id: 31615772
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  • id: 31615773
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  • id: 31615775
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  • id: 31615779
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  • id: 31615780
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  • id: 31615781
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  • id: 31615784
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  • id: 31615785
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  • id: 31615786
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  • id: 31615787
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  • id: 31615788
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  • id: 31615789
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  • id: 31615790
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  • id: 31615791
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  • id: 31615792
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  • id: 31615793
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  • id: 31615794
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  • id: 31615795
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  • id: 31615796
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  • id: 31615797
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  • id: 31615798
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  • id: 31615799
    {'hecke_orbit_code': 9008092675047584, 'n': 911, 'trace_an': 0}
  • id: 31615800
    {'hecke_orbit_code': 9008092675047584, 'n': 919, 'trace_an': -151920}
  • id: 31615801
    {'hecke_orbit_code': 9008092675047584, 'n': 929, 'trace_an': 0}
  • id: 31615802
    {'hecke_orbit_code': 9008092675047584, 'n': 937, 'trace_an': -63500}
  • id: 31615803
    {'hecke_orbit_code': 9008092675047584, 'n': 941, 'trace_an': -46768}
  • id: 31615804
    {'hecke_orbit_code': 9008092675047584, 'n': 947, 'trace_an': -170122}
  • id: 31615805
    {'hecke_orbit_code': 9008092675047584, 'n': 953, 'trace_an': -152748}
  • id: 31615806
    {'hecke_orbit_code': 9008092675047584, 'n': 961, 'trace_an': 16896}
  • id: 31615807
    {'hecke_orbit_code': 9008092675047584, 'n': 967, 'trace_an': 19946}
  • id: 31615808
    {'hecke_orbit_code': 9008092675047584, 'n': 971, 'trace_an': 0}
  • id: 31615809
    {'hecke_orbit_code': 9008092675047584, 'n': 977, 'trace_an': 19016}
  • id: 31615810
    {'hecke_orbit_code': 9008092675047584, 'n': 983, 'trace_an': -41482}
  • id: 31615811
    {'hecke_orbit_code': 9008092675047584, 'n': 991, 'trace_an': 0}
  • id: 31615812
    {'hecke_orbit_code': 9008092675047584, 'n': 997, 'trace_an': 45808}