Embedded newform data - 693.4.a.p.1.2

Formats: - HTML - YAML - JSON - 2025-01-21T06:12:39.392761

• 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': 11088, 'analytic_conductor': 40.888323633978246, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [7, -1], [11, 1]], 'atkin_lehner_string': '--+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [693, 1, [155, 199, 442], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 18432635461, 'field_disc_factorization': [[55663, 1], [331147, 1]], 'field_poly': [162, 185, 11, -30, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [162, 185, 11, -30, -1, 1]], [5, [251688, 10522, -7089, -335, 21, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994477666997, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '693.4.a.p', 'level': 693, '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': [3, 7, 11], 'level_radical': 231, 'minimal_twist': '231.4.a.k', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+(4+\\beta _{1}+\\beta _{2})q^{4}+(-4+\\beta _{4})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '693.4.a', 'trace_display': [1, 0, -21, 35], 'trace_hash': 927469879168703379, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.017', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.603', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.583', 'prec': 17}, {'__RealLiteral__': 0, 'data': '61.858', 'prec': 20}, {'__RealLiteral__': 0, 'data': '9.958', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1324.176', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [5, 1, 0, 21, -21, 0, 35, 42, 0, -23, -55, 0, 101, 7, 0, -7, 20, 0, 237, -85, 0, -11, 80, 0, 486, -165, 0, 147, 11, 0, 316, -453, 0, 936, -147, 0, 319, -89, 0, 624, -1190, 0, 88, -231, 0, 1000, -377, 0, 245, 644, 0, 1001, 992, 0, 231, 294, 0, 721, -71, 0, -574, -272, 0, -1380, -589, 0, -527, 2974, 0, -161, 1156, 0, 1061, 1609, 0, 2399, -385, 0, 588, 1643, 0, -2602, 212, 0, 1918, 4760, 0, -462, -1030, 0, 707, 1174, 0, -1799, 3593, 0, 2488, 49, 0, -2626, -398, 0, -996, -3854, 0, 2656, -503, 0, 4026, 253, 0, -49, 1066, 0, 4644, 7051, 0, 75, 140, 0, 605, 2478, 0, 382, -3849, 0, -274, 3391, 0, -8395, -3486, 0, 1659, -589, 0, 1596, -2494, 0, 2746, -595, 0, -1268, 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• mf_hecke_cc •

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

  
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[0.18966890590300217, 0.0], [0.0, 0.0], [-0.4747566591654854, 0.0], [1.5177899235512988, 0.0], [0.0, 0.0], [-0.6052306259309875, 0.0], [-1.1068885593518782, 0.0], [0.0, 0.0], [-0.3609958397794791, 0.0], [-1.121838867872218, 0.0], [0.0, 0.0], [0.09308279352623583, 0.0], [0.2954128464351079, 0.0], [0.0, 0.0], [0.06248521026614102, 0.0], [-1.0064080151021255, 0.0], [0.0, 0.0], [-0.3020093849586886, 0.0], [0.0021677983240577293, 0.0], [0.0, 0.0], [-0.4906611540880623, 0.0], [1.8561067425275195, 0.0], [0.0, 0.0], [-1.9139678676034688, 0.0], [0.9616742657314645, 0.0], [0.0, 0.0], [-0.3249814069259543, 0.0], [-1.1141624004914927, 0.0], [0.0, 0.0], [-0.04024230262782891, 0.0], [-0.8336320618985298, 0.0], [0.0, 0.0], [-0.9696217134754709, 0.0], [0.37605119825782335, 0.0], [0.0, 0.0], [-0.5231585775346815, 0.0], [2.172789418473298, 0.0], [0.0, 0.0], [-0.32894717953311226, 0.0], [-1.5275359066131615, 0.0], [0.0, 0.0], [-1.5166704023958533, 0.0], [0.5709826210727577, 0.0], [0.0, 0.0], [1.048649707621221, 0.0], [0.6694512275591568, 0.0], [0.0, 0.0], [0.13207905051898144, 0.0], [0.9219764324903378, 0.0], [0.0, 0.0], [0.14614658791777418, 0.0], [0.13210984815366816, 0.0], [0.0, 0.0], [0.227343920865259, 0.0], [-0.24109840653098744, 0.0], [0.0, 0.0], [1.274988905899338, 0.0], [-0.43758937931735004, 0.0], [0.0, 0.0], [0.018805667415407776, 0.0], [-0.1284618479373967, 0.0], [0.0, 0.0], [-0.07427851136189094, 0.0], [1.2068632729323931, 0.0], [0.0, 0.0], [1.369067788020437, 0.0], [-0.7257891728735064, 0.0], [0.0, 0.0], [-0.10185200381189088, 0.0], [-1.3439595083538711, 0.0], [0.0, 0.0], [2.2079097780434944, 0.0], [0.8874148246022903, 0.0], [0.0, 0.0], [-0.3207864162462164, 0.0], [-0.6106632091769507, 0.0], [0.0, 0.0], [-0.02112626965752375, 0.0], [0.608129280678772, 0.0], [0.0, 0.0], [-0.2807060659264537, 0.0], [-0.739363458865016, 0.0], [0.0, 0.0], [-0.9971936776752574, 0.0], [0.08639491185061762, 0.0], [0.0, 0.0], [-1.2951355291291342, 0.0], [0.49177704551271295, 0.0], [0.0, 0.0], [0.6167547599316222, 0.0], [-0.8366431681274997, 0.0], [0.0, 0.0], [-0.006568963105243431, 0.0], [-1.3381343285246918, 0.0], [0.0, 0.0], [-0.3818073652881733, 0.0], [-0.150110081702572, 0.0], [0.0, 0.0], [0.19006631470621582, 0.0], [-1.5632991419504108, 0.0], [0.0, 0.0], [-1.7057799596157917, 0.0], [-0.16316160225246548, 0.0], [0.0, 0.0], [-0.6184297459795849, 0.0], [-0.644366666991717, 0.0], [0.0, 0.0], [-0.7173923439300453, 0.0], [-1.0199597337443378, 0.0], [0.0, 0.0], [0.33202255868924907, 0.0], [2.774400904068409, 0.0], [0.0, 0.0], [-0.3946913893954949, 0.0], [-1.0744315769704273, 0.0], [0.0, 0.0], [0.5694014845394297, 0.0]], 'angles': [-0.2956381257603655, None, -0.10947387915522143, None, None, -0.16816422552013396, -0.2726408995619731, -0.17351634681051126, -0.11746058566410433, -0.334919344855619, -0.16764075993398936, -0.34201099288820525, -0.24898856305483993, -0.28493602823980657, -0.3537519991090032, -0.1606186889355828, -0.3244661042247802, -0.2536707675440694, -0.1546647269425355, -0.39149242961027314, -0.12750147242893184, -0.2326598131837085, -0.2393710055154908, -0.14087960051665388, -0.11721482604304263, -0.18773212187863556, -0.1908561767126648, -0.16041711423550412, -0.19743651035567186, -0.2915563114737275, -0.3977547951222153, -0.16713141788888375, -0.3996794452673407, -0.0981237660614582, -0.2862944943361243, -0.25595420724927836, -0.2757895049363583, -0.2733471177702414, -0.19171792450186728, -0.25442796163835574, -0.24520563117717287, -0.1474659147911829, -0.12334384418330492, -0.28844917232540734, -0.3430579146455356, -0.07260780719162287, -0.1514964557561604, -0.2072422261615788, -0.37499959128169125, -0.12367963519408923, -0.3685582912909196, -0.36314053046932004, -0.21691274927353787, -0.0497217760970121, -0.2774702727688277, -0.06276211422915008, -0.2124607024555307, -0.43767774264025144, -0.37789542582695135, -0.35132787150014183, -0.2656496208302378, -0.4335816507743363, -0.34763954558740917, -0.20024493262176832, 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-0.2690504305543427, -0.4136582545549207, -0.28809217416609145, -0.16168597740889806, -0.2659013558539885, -0.2069161867573913, -0.35035459228737575, -0.30532002813182846, -0.18938934623577658, -0.35629964629715777, -0.35215858910263675, -0.06873124252470808, -0.25540230778735884, -0.3275252729975615, -0.29966994508622463, -0.2951463944295233, -0.26811777145507626, -0.40489147889768984, -0.191750396732855, -0.2719884078001209, -0.12190944067171039, -0.17784019985440344, -0.11972666607495275, -0.2830233474087535, -0.37893302365915094, -0.3484654977954993, -0.3492835027093289, -0.403999565467901, -0.1821621099894819, -0.3491319496000692, -0.3734581756436089, -0.3086693708048118, -0.10220484782110781, -0.209773070756019, -0.13862998617550923, -0.16524218023697157, -0.2559288844467355, -0.26265281175899446, -0.2900129878551451, -0.17842839170697253, -0.18362739063893324, -0.36108600932131474, -0.2640253636288197, -0.11286978674880596, -0.45314890951865705, -0.3440393962779068, -0.29212164501670174, -0.19567818464210807, -0.23186935641104778, -0.28510624774477966, -0.1468998114299894, -0.3672779102037814, -0.3330755859534827, -0.21046014241233785, -0.36665308016927506, -0.39281071576347865, -0.30838929181912267, -0.28161607009385975], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.5999796476445216, 'hecke_orbit': 16, 'hecke_orbit_code': 67553994477666997, 'label': '693.4.a.p.1.2', 'level': 693, 'weight': 4}
• 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

  
  {'ALdims': [8, 8, 8, 8, 11, 11, 13, 9], 'Nk2': 11088, 'analytic_conductor': 40.888323633978246, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [693, 1, [155, 199, 442], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 280, 'dim': 76, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5], 'hecke_orbit_code': 67109557, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 4, 4, 5, 5, 5, 5, 8, 8, 8, 8], 'label': '693.4.a', 'level': 693, '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': [3, 7, 11], 'level_radical': 231, 'mf_dim': 296, 'mf_new_dim': 76, 'num_forms': 21, 'plus_dim': 40, 'prim_orbit_index': 1, 'relative_dim': 76, 'sturm_bound': 384, 'trace_bound': 5, 'trace_display': [-4, 0, -8, 0], 'traces': [76, -4, 0, 288, -8, 0, 0, -36, 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-5464, -9860, 0, 6180, -2596, 0, 16408, -14640, 0, 3440, -960, 0, -728, -19592, 0, -6336, -14864, 0, 25648, 2408, 0, 7504, -11272, 0, 24072, -10816, 0, -13496, -24592, 0, -18432, 1556, 0, -7364, 8392, 0, -22904, -484, 0, -37716, -392, 0, -14304, 5828, 0, 16232, 7444, 0, 3388, 17480, 0, 24984, 12776, 0, -2464, 22632, 0, -30732, -1304, 0, -17792, 2800, 0, 22232, -7804, 0, 4968, -27228, 0, 41912, -5544, 0, -17688, -444, 0, 15204, 16424, 0, 8792, -25768, 0, -2112, -14140, 0, 5012, -15344, 0, -34772, -11432, 0, -44772, 50624, 0, -13472, 33040, 0, -728, 9744, 0, 52136, 12272, 0, -17888, -3696, 0, 53864, 45460, 0, -36636, -38664, 0, -3960, 34660, 0, 4136, 26588, 0, -10528, 7584, 0, -9720, 21560, 0, 43792, -4032, 0, -8644, 6144, 0, 57384, 41372, 0, -14016, 32908, 0, 24, 9240, 0, 0, 2808, 0, 29756, 24096, 0, 79312, 6440, 0, -6644, -31948, 0, -22452, -5856, 0, 40976, -31792, 0, 43420, -51376, 0, 25228, 3288, 0, 6480, -23328, 0, -114944, 6496, 0, 1176, 22000, 0, -73580, -20808, 0, 7404, -10608, 0, -45880, 32632, 0, 1540, -14448, 0, -107400, -38276, 0, -63544, -1764, 0, -98736, 91240, 0, 19556, -17428, 0, -66112, 26904, 0, 20552, -62692, 0, 28896, -9372, 0, 58992, 43512, 0, 31104, 6216, 0, 3592, 82060, 0, -29744, 4104, 0, 52528, -18376, 0, -77304, -43040, 0, 9632, -27608, 0, 18640, -18352, 0, -23540, -16800, 0, 93408, -3032, 0, -19872, 12276, 0, 100256, 23260, 0, 22196, -98276, 0, -34944, 26068, 0, -4576, 13048, 0, -64756, -11088, 0, -48760, -72328, 0, 35096, -17992, 0, -56388, -105152, 0, 1576, 2548, 0, 15344, -107752, 0, -80676, -3168, 0, -6664, -23072, 0, 150608, 71576, 0, -7504, -53200, 0, 34848, -35532, 0, -48028, -66332, 0, 3920, -31744, 0, 12400, -1384, 0, -123632, 27160, 0, 35536, -74904, 0, -164, 34008, 0, -34792, 12936, 0, 63432, 51064, 0, -8484, -45532, 0, -21352, 34448, 0, -4356, -9352, 0, -47000, -34604, 0, 45608, 17136, 0, -14648, 139728, 0, 138464, -12256, 0, 23716, 29536, 0, 52024, -35600, 0, 107528, -2156, 0, 111784, 117408, 0, 40496, 3312, 0, -8016, 1616, 0, 15884, 30664, 0, 34720, 3472, 0, 128752, -66456, 0, -76496, 38304, 0, 105248, -53128, 0, -62588, -96876, 0, -136608, -23304, 0, -29472, 39160, 0, -72940, -10480, 0, 45492, 70580, 0, -108752, 1988, 0, -27984, -62872, 0, -184300, 23208, 0, 8, -79264, 0, 6952, 2104, 0, 19768, 116208, 0, 137776, 53392, 0, 125624, 25872, 0, -75856, -968, 0, -27272, 57684, 0, -248472, 53208, 0, -139192, 27476, 0, 7392, 14072, 0, -33620, 113480, 0, -135420, -9352, 0, 107332, 53688, 0, -208604, -126168, 0, 135244, 179440, 0, -68200, -107184, 0, -7056, 20240, 0, 213344, -69212, 0, 47748, 4424, 0, 99136, 96800, 0, 32912, 245276, 0, 57328, -15436, 0, 74304, 142284, 0, 63560, 20464, 0, 63232, 80272, 0, -3700, 62216, 0, 105288, -20560, 0, 85568, 11836, 0, -77216, -33544, 0, 43880, -73904, 0, -1456, -8792, 0, -29260, -101216, 0, -90148, -2744, 0, 59048, -141168, 0, -95620, -54508, 0, -16696, 141952, 0, -944, -59564, 0, 10808, 11360, 0, 64968, -25344, 0, 11512, -23072, 0, -87532, -116536, 0, -80472, -54820, 0, 18744, -139216, 0, 335656, -62296, 0, -43008, 272564, 0, -176300, -7440, 0, 151216, 21812, 0, 48296, 115616, 0, 24088, 63668, 0, -91144, -7700, 0, 186488, 110704, 0, -29568, -63992, 0, 133976, -81112, 0, 4092, -24584, 0, 29404, 109552, 0, 103328, 108400, 0, -30368, -128088, 0, -52264, -80896, 0, -15456, -152280, 0, -147108, 223728, 0, 95480, -12320, 0, -359736, -86572, 0, 256556, 13752, 0, 146216, 10880, 0, -17380, 328048, 0, 67816, -7556, 0, -47168, -146792, 0, 166384, 28840, 0, 73264, -22136, 0, -63072, -29752, 0, 103864, 150956, 0, 44640, -23672, 0, -62888, 57144, 0, -265772, 90072, 0, -326488, 36736, 0, 52272, -68624, 0, 86288, 109776, 0, 85352, -41896, 0, -127108, -183564, 0, 78988, 43768, 0, 102792, 80784, 0, -41556, 7448, 0, -73864, -43076, 0, 58980, -48232, 0, 145892, 50920, 0, 287760, -95872, 0, 0, -43624, 0, 112176, 56828, 0, 96832, -75740, 0, 94280, -19968, 0, 17956, -68720, 0, -337712, 22760, 0, -120840, 115960, 0, -85988, -21736, 0, -111792, -227200, 0, 310352, -5040, 0, -40368, 61440, 0, -135784, -102868, 0, -143584, -165696, 0, -4720, 47040, 0, -17864, -247248, 0, -20960, -175824, 0, 52212, 44688, 0, 124696, 93472, 0, 57984, 26488, 0, -89888, -156908, 0, -243040, -304744, 0, -2576, -163840, 0, 52668, -132984, 0, 232444, 25060, 0, -152208, 76192, 0, 100836, -118680, 0, -31936, 300336, 0, -57168, -211248, 0, -392, -291144, 0, 99164, -48488, 0, 94552, -112392, 0, -216048, 182592, 0, 118712, -354260, 0, 102256, -217204, 0, -45680, -15196, 0, -43932, 153080, 0, -7892, 58496, 0, -126512, 30128, 0, -163392, 310152, 0, -576068, 5656, 0, 33048, -4356, 0, -221504, -82732, 0, -36876, -265480, 0, -165628, -1812, 0, -80124, -19012, 0, -264872, 117984, 0, -41160, 71088, 0, -98520, 115072, 0, -47224, 34924, 0, 49504, -200432, 0, 149568, -94776, 0, 29176], '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: 47943997
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994477666997, 'source_is_minimal': False, 'source_label': '693.4.a.p.1.2', 'source_level': 693, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994477666997, 'target_is_minimal': False, 'target_label': '693.4.a.p.1.2', 'target_level': 693, 'twist_class_label': '231.4.a.k.1.4', 'twist_class_level': 231, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47943998
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994477666997, 'source_is_minimal': False, 'source_label': '693.4.a.p.1.2', 'source_level': 693, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 45035996340814055, 'target_is_minimal': True, 'target_label': '231.4.a.k.1.4', 'target_level': 231, 'twist_class_label': '231.4.a.k.1.4', 'twist_class_level': 231, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47943999
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 67553994477666997, 'source_is_minimal': False, 'source_label': '693.4.a.p.1.2', 'source_level': 693, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 58546795222926929, 'target_is_minimal': False, 'target_label': '1617.4.a.n.1.4', 'target_level': 1617, 'twist_class_label': '231.4.a.k.1.4', 'twist_class_level': 231, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1215675
    {'charpoly_factorization': [[[162, 185, 11, -30, -1, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 2}
  • id: 1215676
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 67553994477666997, 'p': 3}
  • id: 1215677
    {'charpoly_factorization': [[[251688, 10522, -7089, -335, 21, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 5}
  • id: 1215678
    {'charpoly_factorization': [[[-7, 1], 5]], 'hecke_orbit_code': 67553994477666997, 'p': 7}
  • id: 1215679
    {'charpoly_factorization': [[[11, 1], 5]], 'hecke_orbit_code': 67553994477666997, 'p': 11}
  • id: 1215680
    {'charpoly_factorization': [[[-699186044, 3143032, 620733, -5277, -101, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 13}
  • id: 1215681
    {'charpoly_factorization': [[[21815808, 9247904, 100984, -16344, -20, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 17}
  • id: 1215682
    {'charpoly_factorization': [[[1631765016, -132041586, 2082521, 3973, -237, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 19}
  • id: 1215683
    {'charpoly_factorization': [[[-14963596032, 134028896, 4125624, -40448, -80, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 23}
  • id: 1215684
    {'charpoly_factorization': [[[14067075228, 952001576, -317469, -63197, -11, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 29}
  • id: 1215685
    {'charpoly_factorization': [[[-2282048512, -71084064, 1063000, 21472, -316, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 31}
  • id: 1215686
    {'charpoly_factorization': [[[64616128484, -1990866676, 18443455, -26737, -319, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 37}
  • id: 1215687
    {'charpoly_factorization': [[[-5484263424, 1410136064, 68360096, 478056, 1190, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 41}
  • id: 1215688
    {'charpoly_factorization': [[[454049016064, 6824717408, 6313240, -181856, -88, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 43}
  • id: 1215689
    {'charpoly_factorization': [[[640713805344, 13610396374, -50125037, -211987, 377, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 47}
  • id: 1215690
    {'charpoly_factorization': [[[-2832799483104, -51924569792, 252361016, -27028, -992, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 53}
  • id: 1215691
    {'charpoly_factorization': [[[-116007727392, 37264664660, -62751859, -516297, 71, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 59}
  • id: 1215692
    {'charpoly_factorization': [[[25076058464, 835952080, -15403088, -56824, 574, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 61}
  • id: 1215693
    {'charpoly_factorization': [[[49084085096528, 158670034776, -310089395, -829349, 527, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 67}
  • id: 1215694
    {'charpoly_factorization': [[[-182626537218048, -24609381376, 1210626944, -833232, -1156, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 71}
  • id: 1215695
    {'charpoly_factorization': [[[-70171874704736, 120657450490, 743135177, -741439, -1061, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 73}
  • id: 1215696
    {'charpoly_factorization': [[[39894707683328, -444149304320, 1405942016, -1297264, -588, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 79}
  • id: 1215697
    {'charpoly_factorization': [[[-8874602922624, 101622256384, 35681032, -1686280, -212, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 83}
  • id: 1215698
    {'charpoly_factorization': [[[-76327550636448, 828720951952, -1078211120, -1881064, 1030, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 89}
  • id: 1215699
    {'charpoly_factorization': [[[812915857189728, -3408913111296, 3958980136, 135980, -2488, 1], 1]], 'hecke_orbit_code': 67553994477666997, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 16, 'label': '693.4.a.p', 'level': 693, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEw0fjcCUDQAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13nG1ZXeaPv9daO51U+ebYfUNnuuncNDRBkiDSCiiKOc44jjPzfc2YZ0b9DqMyOo46OgqiiKKCiCAZGmg60zn3zTlVrjp5p7W+f6ydTt3bjfpzfoAz58XmnKpbXXXO3s9+1vN5PmEJ/u/jn+zx4Y/fjZRiw1MHToyb1JjN0y6eK3nkaJfbXjQlbr68uXjXoymbp5emr7vstHniwBYCT7Jhuk+zkQot96yCmZ3e/DKATcAKMBBCfK0/2jfsw/lav4FvlMehY+cALtI63WAQuj+I+JuP/C17Np9h56YlAuVx5NRH4mVz7S8Nesvf4ggTnz7nsWFKEPeHdFcT7/TphfeePC0Q6fCHT471orOzC2yahhPDiLFm6g6TY5/4nT/d90vPnvqo+B+//CO/Pnv66F8HyROP9Fb3K4MPQkgl3VngaK25+Wt9Sr4hHv+XGp7n8dyheYwIJlxz9Lb+8pMoIePTy+P/rjuUr5HCEMUJjz76OM3aCrs3t1npKk7O1UCHJHHCZMuw/6THFRelnJ2XTI4ltBo+h886pDpmpik4sxhz5cWagyclU2Maz/MIAoej85KVHuxdn7Bn+ySXXPYiDC6Ogn7kfH7f0eFvpSZ1X/nSK9m9c8tdmHBFyPVf61P2dfn4vwDPHisrCxh4XbMR7jp6rKt/+Xc+pN/xurGLeuH6n+11DtMIPI6dPEens0gUOyz3JanxCFxDyzfMdRIOnh2yeSpgvKZQImZmzGPPNkV/CEKGnJ53GEZwZlGg8BiEMbu2GTZM9pBIGvWIjeu67D8+xdJKjUaQ4jsx/aGm3VNEScLE5AyN5maUE3LFnot4Yv/Cr920d/bo1j3fJ2MxLjetU4eBz461Zr7Wp/Tr4vF/PMCfe/pupBC3La/Gr33q0OJbL7to/pKw5/Hejxzg5itXWJh3ObHQZ8u0ou7DzLjm9LKPkgYpNJsmUk7MBTTqhkcOh/RDQeDB4ipcNONQr/lsmEm47coOzx4d45F9gudOJNxyRcrmaU2jIdi2YYWFFUXgwyA0PLZ/mmZNcmTOY+PkECnAUynnlhRjjQRJyub1MQuLTQZG84qrG5xYvhy/kfKyq8f2n1ta/+E4kZ8Tgrte99qXf61P8df08X8cwHvdNrXAnzw3u/Bf/+DPPucdOvlc+mPf6l+7vDx23V9+eo4N647zqmsafOGhcQbpKq+5zuGeJwIu3jqgN3A5u6wIY4HvJFy2NWX9ZMhSV/LEkTHiRLBn85C5ruKqiwccPObSGTpEIdxwWY8Dp+q0ahH7TjvctFcSxSGdocMTxyXX7Ehpd112bYmIYslTRwWL3YCNE3DJti6eI4liOLfs0g0Tdm9y+fIThldd1yMcjPPpr/R5+XWrXH3xNh46uInFQf+Rt79q4dENM1erqS3fHNWbUz+fJtHy5OTY1/oS/P/18c8+yDxy9Die64i/+cQ9vOqmnnLCT/z+4aO1vQ8/fu6lp06cVufmOhw6fpINzTE2TzV4/PA0t12zzLWXjPHZh5o8fLjPjo2Gs/MOm9YZ+mcMsTGEscupBcn6qRAhDHu2hDx31MH3Bly80WN2wWWiJbjpspgnD2meOtKiH3fZviHiRe4YZxbhiYM19m5P2DYNR+YENT8GoTh42sEQI03E1hlDswZKRLjKpT2AresUx88Krruky0S9weefFrTGYm65osmjzxruefQIW7d2r9Ohuu65fcc488Dfpl5z62XtSB14z59/4CduvdxN1297GUYnZt2GbV/rS/S/9fHPEuCLC7NIqWQUtoO/+6tfDl/5pl/492mafu8v/N7J+Be/Z/+lPhNBdyWg5cGwJ3nsoOB7X93jyl1Nzi4F3PGIz7e/dJWrL57ii4977NraZ8N4k+NnE264JGL/KY/xRgxInjleZ9OkZmnF4b5nU+47BFdtN1y2VbLcFdzznOSVV8SMNxQr3SanzjmsdgzKjfi+169wYrbFalfw4r1Drtq1gMsEs4sznFqAy3ZoBpHk2KzPRN1h32nJ3q3Q7Ur2bl9k56aALz7scXxpwFtu08wtTrDvGLTDlGt2Rwg9zoGjA545sl8dnD/68tZ496bf+onGDVpf70bh8M/e9F0/9xv79h3yp6fGhkmS6E2b//k5M/+sJIoxMeBImB1fmTtxc2/gvefIkcPJfQ8dnHri2dnW0ycTJmcW+cXvCjHJZp48WOOJgzEHZwe89pY2t17a4MkD49z1VMT4VI9ve4nk6f1N7nlmwKUXJ2yZrIEZIByBKx0On3NY10pph4ZmEHJiPuXZUylNNcFrru+xstrkwecMV+wU7N6WkiaCkwsuaarZvUVw+UUxDz4rWO71efV1klrjLAeONzl+boK6L+j2XabHEo6c8/CcECUVRjts3bDM5dsVdz8+wSNHY958W5v1jXHufizg8WN9brp6hTdc73H4xAxPHNA8eSSmL3v84vfMsXl8PQdOTrMyWN9pjO9c2rVrlzNMzI9Ob9j1wCU7x1c7PfT6yX8+sPhnw+Dn5pY5c251x/zCgS27t0UfVsNPjR1/NmkcP2VIQ5dWHTaNG546PsG9z83ybTevsLXt0O45dAY+H/5ig6lmh6v2OAyjBvc+Y/jofX3e8tI2QdDksUMum6Z6TLU8Ts05dAYp/f6AxnqXWDtMNhSbJiQvu2LA44cSHCnwvQS/nvDIUUWj6bJlOiJMYPMUXLN3gXbfIUwmiLXD08clTx7cjq8CfC/FGQ8ZhDDWGrAT6PQ8Ts2nTI33mRlr8rkHPZ4+GXH7y3tsGW9x35MBTx0bctnFK3zXK1IOHp/gyGnB6fmEc+2UN768w+Xb6uw72mBhGY6dOdc6ce5YqxM/hGpO/PWPffc3tQn1W/fs3Ht60Fs5XmtMfK0v6T/J4xse4MYYgL2f+PSXNzmu94dP7nty96eGn1W3v2SZmbHNrIzN0B24dAcOg1DTGcL7PzfJpqklbt7j0B9OE8Yug6jOg89FRPEKV+0B36vz0H7FR+5uc8WOVV56VYNDp1osrA6peQkzE5o9mxXnlhTLbUmnm9Kshfiey5aZiGOzLo4ccPtLHB494HLp9lXGxzt86rE6nYHP9FiDxw56XHZRl6kxl+Pzgs0zLkEQMxGkuI5ESsEj+yYZa/SpeSG7tio8WePepwz1+ipveTk03XG+9LDH/tMDrrpkmWsuhlNnN7DvqMvxszHPnjZcd+UKP/DqmNNzG5ldClhYEax0Utp9wTNnB0jnROP+ux9srP+mV9+1UONQHMc/bow5Cxz4Rs+ifsMCvLO6jHKc3YcOPPOipZXuvzly9MhtDzz0HE8c7nKmvYn9xwQ//fYum2bq9IeKwdAjDF0GoaF3tsanHmxwy+VLXLNXARMY4/LE4Qned6DHW17Z4eZLY6bHGzyyb4LPPzhk4/SQS7YL1o05HDnr0h/G9PrQ7gkcx7B5OgUlkTJi0JecWwlA11g3FrFrc5/7nvIJSfi2W2PSqM7h05KZCYfNUwKtExZWHDrDkEHs0e15bJ0OmWoNUUriOII4djhyGmYm+tx0VcKmCYeDJ8a4dz+cXe5y3VVd3v7ylFNnN/D4AZ8DJxIeP5oSiy5vvGHIcDDN6bk6s0uShZWYpXbC6RWJEwz5+Xd0+NabFMdPP6SeeuT0Ja2py+9s9/y7hBP89upK+8kkiQ9Nz0x/rS/5P+qhvtZv4B/z6LePU687O2bP7P/vx4/t+8/33PPAjn37jzAYxrhKEqeKZ066bF7f4ZbLY+LEI04dtFEYI3DQnJz1OL6o2bGxw4YJqPsBgeugcHjiiGJ2dUirFXH5Ts3eLT7dXsDpBYHnxMRGcXbF5eyCphMJHMdh/XjC3Irm+DmPiaZE4LBuMma5a7hyxxAp65xbqrNns8/BEz6nFg2X7QiZW5bEicsgUuzdGiOEoduXrB9PmJkMWTcZ4Upo9xW+D3u2CFZWmnzx0RqHzg6ZnGzzimsH3LTX58jJdTxxwOPZowlHFyKa421+6HU9Lt8+xolz45ycdTm7kDK3FHNyUXBowfDmW+f44dclrLSnmVtusbhsOHD4HE/vO75juR1/Z2+Ybp+YXvfAj/34T67+3u/+1tf60v+DH99Q68+hYweRMphJhmf+zXDp8StXVjq3Hz16nPmVgMW2YGk1ZnElYXbVcHxZMDXT5ue+Y5Eb9zQ4dnaKk7N1Ts8rzs6nnJyNObqgceo93vLSHm+8wePk7BT7jvkcPq3ZdzImlUO2rou45UrN9nWSk7MNTs1JljuaYaKREiaaMDOWsNxx6PQUE60IRzhMtFICP+bBfT4XbdDMTCScW6zhKs2ZJc26CcNFGyO+ss/H8xRTTVAqZroBKz3BUk+wrqWZbMVICWGkWO44nJhzOLmQsH3DkJuvTNgy40BaZ/+xOkdOG547kXJiKeR1L1nh218aUlMTHD83wfGzDmfnU84uxpxcMBxcMFx/+QI/87YO68cmOLswzuxSwPyyy8IqzC2GnJ0fsGPnLhqtiY/e/sarn778kk2/3ekOFzZt2Pu1hsLf+/ENA/D/97c/DiZoGZbevXXqye+4+eJ5eeKMojsIWGq7LKxIltspS6sRi+2UcytweEGwYd0K//Edy1y/u8mJc1OcmqtxdsHh7ELKmYWY/ac1TjDgdTd3ePU1mpozxun5JsfPuhw5DaeXUlxnwFgzZb6j6PcT0iRBIPCDGlvXuezeGDE+FnNuSdDuOezaFIOBSMOJuYDuwNCqCeqeQJLg+ymtekqn73FiHkLtoY3hkk0R3X7K2UWHiabLRZsStq3v0aiHCGmIIkG7X2Oh7TFRF7jS5ey8x+EzguOzCSeXEvxan1dd1+MNN4AvxzlwosXJOcW5nLkXDIcXDddevsB/fMcKmybGOXFuknOLNRZWXBZXJEvthOV2zHI7ZbmTsBzV+b7b6/rtr937oY3TUz/WG4ad8S1v+VpD4u/1+LoGeK/X4dxCSqMmfvXQ8QO31AZ/LM/Mt2+ZW5p1vuWmJifOTbPUrrHc9lhcdVhqC3tR2jFLqymzq3BkSTAzvcovf+8S1++pc2pukrPzDc4uOswtGWYXE04vpMx3E8Ynh7zkyh43XgKerOErn7nlgHOLDrPLgn4ISaIJPE0jSJkYS9DAidmETg+2r3dp1EKMESA8egPNtg0hS6sOGCtFVnsQJmAwLLcjNq9z6Q4UQhmEDmkFLts2DlntC06cdUi1w1RL0gwEvgtJIuiHktllybklw9xKgu8PwU246bIet1wumGnVWFppcWrO5+wizC0mzC0nnFmGI0uGay9b5Fe+d4UN4y1Ozk4yt1xjftljsS1ZXk1Z7sSsdFKWu5qFruTQnOF1Nx6n1diYrITr7v/tn3uz3r7lkvuFk/5cp+sz1mp+raHyvI+v2yDzF//7B2k0WiwvL77zbz9x1797z0cf8Wcm2tywd4FbLkuo1/qMt2qkqUSngiQVaO1gjMIYwAAiRQjD0aUJfvkDgnf+0BzX7Ixo1iZp1Jq06j7Nust4SzG3pJhdcfjiAwGfvi9h99Y+l1yUsLwy4NKtIW9/rSZOFALDJ74SMN8OqKUhx88per0mV+1Kme8k7Dvgsmer5NBZuGkvtLsQaQffiZhuwMEzNeq1GF8ljDUFq1244dIuR0777NmuOXY25Nkj9ve5W4ccmTOMNUOWOxGf/GIdIxRpmnLb1X1uvsYwu+pyzcVDLt7kksQt+oMa+44GzC4KFlZS5lcS5pY1J5cFc72Iq/cs8Z++u8dMa4IT58aZW66xuOqy1JastFNWuzGdXkq7b1jtC+b7kjgJWe3Aro3HnDfeOPuy4bkOTy98081bLn6Znppq/sLKqfcwsfVHv9aQueDj65LB3/fnf8P3v2an+tk/fvo/NdTCLxw9fEo9dSTk5KqiN4zZu2OB3/zxRa7ZVWd2aYKl1QbL7YDljsty22GlCyvtlJVOwnI3YbENp1YETm3IzZcv8x0vi9i5rsFqr8X8co2FZY/FtmC5rVlqa1a6ms5A0wkN/WHCVCtm23oNCHzXcHreRUif7esUOzcZNq3rM7cS8uShJi/ebajXVnjm8CTNRkQUuUxNaAZDuHTbkL+4c5y9WxPC0DA9JonTAc3A59njQ2pug6v3JDx1NGJuyWPzlM/OjbBtQ4RSMacXwXMNQhi2r0+YaEq6A59e36XTd1nuKJZXYamtWW6nLLZTZtuwNEzZtrnHd9y2yM2XOARui3OLLRZXAhZXHZY7gpW2ZrUbs9JNWe0alnow25PMrqbcsPccv/7ji1yyNWC1O8aZuXGOnBlnev10eu2VE+/8xAPf/SvX7vlSet3Nt3+toXPe4+sK4AcOHKBeC2onT53e9pWHn37b4WPn/svBI6eRUjGIYLEnme1J5rox1148x2/++BJXXVRnfmWcpdUGKx0L8pWOw0oH2l3NajdhpZuw3DHMtQVnewZEj9tvbfP66zUXbQyIojor7YDVnke7q1jpCbp9wTA0RIkhTUFJg+9CzTeMtwzrJmMcd8iRcxFPH/bRSYPX3hDhuKs8um+MHRvhMw8l3HqFz3x7QOAokjRmcgKS2MVxE5aW6rzkmg6feaDJzo3wyKEQlzqvuV6TiAFPH0k5djrAkR7rJxwmGoKaL/A8gRKQaIhiwzCCbt+w2tN0+5rVvmapZxikKdu39Hn9jW1uvyUC3WRpdYz55RpLbZfljsNKG1a7Ke1ewmo3ZbWnWe4JznUVC52Ea/fM8a4fn+fy7TWW2uMstxssdwJ6A4ckSQgaW/Hrm35xYt2lf71h45aTUTQY7Nr19ROEft0AfHn+ABMz096RA0d/4KlnD/3+l+95XCyt9GScCIaRph8aukPBysAum3PdiOt3L/DrP7LENbsCFldzkPusdj1Wug6rXUG7a2j3Ula7Ce2eZqVnmO8KzrU1E+N9vunaLjddkrB9vaJVc+l0A3xXAoookWgt0Ab6Q0BoJppDDp0xaBNxxyMNwn6NXZs9br6yT6xXufuxca7e7XJotkd7pcWNV/b54qM+6ycN+04Y/tWbO+w77rN+UvKFxxQ3X6pY7nc4emqSq/dE3P30gCSsc9NlHhdvHTJIenz+UQWp4Mhph1bdwRHQH0i0EaTaECeA1Diept0zNJoxWzeG3HJpn296ccJUI2BueYyl1RorHXtuVjqCdg/a3YR2L6GdyZLlnmS2J1jsJtywd553/sgiV13ks7gyxmqvQafn0+m59IcOg1ASRoJIB3r95ivMxs0X/8SWbbvet7qyEF179SVfa0gBXycAj+JIhuHgjU89/NldxsTveuihR925ZUlvoOkPUwahtgmaoaY7FLQHgvmB5Fw74aZL5/nVH1ngxRd7rHbGWFhp0u4FrHY9VnsO7a6i3Yduz9DpJ3R6Kb2Bpt03LPQECz2I05Crdg/YMJnS6xted2PIjg2aJJU40hDFcNeTASfnAzZOJDxzJABd55Itimv2avygz6OH+iwsNrh8R4PW+AoPPOVy3e6Apf4qKystNmwwPLRP8d2v6PHwPoct61wWe21Wlie55tI+DzyTMlkb5/JdPebbbR56bpya0+DavYY924Ygezx5TLBuMmZuIebuJ12GsUJKSLVhx8aIb7oxottTbJrQXLMboqjOcrvOcttntefS6SvaPUmnB51+SqeX0u2ndPqa1b5heSA50xa0hyE371ngV354het2+8wtj9Pu1ej0fJsV7jv0hor+UNIfCla7KbMLQ150zfVx4Ls//fa3vv5wo1H/pHIC/bXG1tc8yFxt91htD773i/fe/1vN+JnJ5cUevqcYa0qEkEghUCJBCo0QAimMPaRBSYeHD67n597rcPvNy3znK5bZuTlidqmF79Wo+R5136VRc+jWJM2By1jDoT9M6Q1S1mc3Tnfos7wQcPqUIUo0Z2YTfN8AAk8ZHCnoDxQCl6Tv8KIdgos3GbZt7hOmXT77sGL/4Qle/WKfay5d4f2fNXiizo7NfZ56QLF5XDHd6hOoGlHsMt+FRuCwZb3gif0R1+yp8bKrF/nTTw3w3CavusHg+n2+9FDEZx5s8NyxGhdtqrNjY8rMRMTO6ZgrdqQopXGUjajrvs/MuE8Uu3T7Hs8ccukNHfoDRW8o6Q2gNzT0+vazdwcpvYGhMzCsDmChr5hbMdRbbX7ydQt8680hV13U4Nxi04K779Ptu/SGil72O/tDQW9g6A8N2kjuvf9hd3J68rded1tzubb9Vf8uicM/dVz//1yAD4cDBOKHn3r8K796/z13Tr7yRUt4bgPPFdR8g9YCUAgBQqYIAVJopDAoYXBkiiclTx2a4fGDDQ6enefNt/S45bIh480Wy+06jU5Aa+DR6zt0swszGDr0Q4dhaBhGmig2xLEhSe0RJR5Gg1QC1xEEnmC8KZhowoZpzZb1faYn2nzuUbjncRepx3j1i11edEmX+56LiYYtbn6RoD0YML/U4KY9munxPjXHZ5goFjoxSgtetMeh3gx57EDAS68Z48arujx2QIEZ48WXefzQG5b54hMRX3i4wb6TAdtmFBsma0w064w1oeaD6xiUBG1g3zFBmgriRBAlEMbYzxjaVXAYavpDTT/U9AbQCWGhJ5nvQqiHvPLqZd54S5vvepUmSVrMLjbo9gO6fY/uwC2A3RtI+qGgPzQMBimDYWrPW2w4dOwcX/jCnZO7Lmv+txtvuMXp9/rvrTfq/+cB3JgFIPyhU4fv/9W5E/euu2p7iKGGo8D3NKkWGAMGgRAKIQVSgJICJTVKGRxlcJWm5goW+zU+eOcWvvR4h1uvWOUdr1zlip09psbrLK3W6Q58+gM3A7ayRyQIY0mcCJLELvW2dssGlY4DgQf1mmayGbN5XZ+EHofOxHzo7oCjpxqM+zWuu8zhpis7PHSwzR1faXHD7oBtG/v8xZ0CJXxazZjVXog2oATMtPp0uh46qfHGW+f54GfqXDwX8Pob+kTxEnc/PUWcBlx/2Tpef12H3VvbfOmxPk+dqvPkMY8tk5LJlqDuCzzX3oRSgBAGbUBrQ5yYAnRhbG/kYQSDCBvLhILlLghnyNV7V3nHN61y62UpU62A1U6D1W6Nbt+nN3TpDxwL7tCy9mAo6Bc3TsowSgljg9ZQcz3uuD/inic+v+7I2fRXX/GKl5oDJzt/vHdb6/8MgP/33/0z7jnT4gf+093fd/OeM++6bddj01tnUsbqdZJEkqSWjYwRYCQAUgiklCjpIFWKUiJbnjWuY/AdQ80RrAwVS+0JPnxXgwef6XHzVau841WrXH1xm6m0RpL49IcBvYHLIHSIYkWcSJJUkmqBNgKBlUC+p6kHCb4X4bkhZ5ZCPvWI5PBpj2OnJ1Da5+KNHpfuVLz4kg7KX+DpI002j9e5/CLYMLPCcqfFFZsliTZ87mGfsC8ZbyS85vohn7w75uRsk727XM6tDnn2qMvW9RNctXOB+57q8sCzgjDyuGTnJJds9blkS5cj55Y5fAYe3l/n0NEGdUfgO5KGbwhckNIGVcbYmzVJIUogSgW9UNAZCjoxRDpBmyHX7u7wjm/qcOsVKRsnfYbDMZbaAd2eT2/oWWAPlS1WCwWDoWQQ2r7RQZgS5itDZAgj6zglGjpLsHBslefmPr9ux6Zn3vXKm/zEmN9+/yP3TXL9rd/3zxfgH/vY3/JTv3QPP/8T137Xp+479Tt/9PjT47t+eJ5Lt47hrkJ/6BFGCiEdK0uEQUiJkjJjboVSAkdpHJXiOgLP0XiuwXcNdS9lPBB0Q5eVzgQfuafFnU8OWT/R5223tblk65DhoMflOw1bNyjC2CVNFamWmBzcUuM6KSfmDMdmBasDzcfvq3NmcQITuUwEik1TDts3OFy0GS6/uIOWi7znkw2Wl8e44RKHyy9u86UnBSJxWTchadQT+rGHNBKMRDke7aFgbllwmalz24u73P9YjU3THjdcPskPvmGR932my8MHGvSGLkurTXZuqrF3Y5/r93T5tpd2Obu8zMfv81nq+5w453LmjIerLBEIBNoYUg2xNqSJZmIq5srL+oRhzCVbQ95yW8i6McVk0yeOA84tBPQHHv3QrnKDAtjSgjsUDEPsShCm9ogsuHOADyIIE0E3FJztCxqcwuk9O73/iRf/zmz3svi26x79y4/87Uf49m/79n9+AD+170/ZcsmKmGxe99bnDsz+UTo4U99/uM7Dz0quvrjHeFNmgaOLkKCEQQqVyRJQUuIogaOyZ0fgOimeI/BcTeAaarGhHhnGgpSJmqAfSbpRg2OnG/z6X06CThBJwouv7LNzQ0SSgDYaY2wSRwqBVALH9Thw0mPf4YBG4ND0JNN1wcyUZN2kw6YZxfaNKXu3r5KKJX73oy1OnBznhj0ul+xIGSRdvvK0z3jNZWrMMN6MqNesFNJa0h4qlnuGpXZKu1fjJZev8si+PvtPKsZbAddfNs6PvHGJ3/sYPHa4QW9gWO06zC232DBdZ93EkO1TQ/79W/u06m2eOgYHTklc16CUQQgNGPs/A0kCOzak3HxFQhq7xImPMXWGkcvsoscgtCvaMFKFfBtEgmEoGEaWtcPISpIw0oSRZhhpwtgwCA3D2BBG0I8F/UiwNJT0k5iXXdXmyosMn7t3aXy2N/dHTx+5Nvlvd2398H/+7x8yv/z/fMc/H4Ab807glBouy9u3TvbeP5heCF5zc8r8cpdmEFILDAYHbbABpNQ40kVK65Y4SuEog+PIDNgCz1WEriSMNH6mAWuxJow1UWRoJRDGmjCBKBEMY0mY+sRpwP7DDZ7cD6kxWGhbbexK8JSt+Wj6cPlGaNVgrCGZaCqmxh3WTcK2DSEbZ1aJzTK/+9Exjhwd45qLFBdtkVy8ZYUvP5swtzTGi3dKJlqawBvgSx+jBEkqEcaQpBErvYC5JZdrLqnxoj1d7nssYP2EoB40uWaP5idvX+J3PqZ59kyT1Z5mtatYWHGYHm8w0aox0RqjVY+ZacRsvybCdxNcJ0GpFClsMGGwN1UcK+YXHOJEESeKKFaEcfYcScJYEkaSYWS97TDGxiiRsaCONWFoz3MYWV0fxrmuFwxjC/DVSLAcAnHIIIp59qzmC0/EPHv4cH16Y/j+G6d6+iuHvI+++V/9Ufqx3/uRb3yA/9v/+gG+66fH1XW7T7zlmp3P/KkbHwwu2+Vz3ZU9Wk3NppkEzzWAg04FQhiU9FDK2EBPGVwnA7ljcB2J5wp7EVxB6Cmi2AI9jg1RklpXJKkcKSSpIU01qcbqbU0BbpGtEo4E1wXfEQS+oO5LGnXFWF0yMSZYN5mwfUOfZmOVj94fcffTk6wutrhym2L7RpfdW4ekYpXPPVyn4TrMTCia9SFPH4HnjjpcsdXQDxVX7Y658mLD7LmUhRWPwbDOa6/rcu9TAw6dUTRqEt9rccVFml/5viXuenbAJ++aZqlj2L4uZaXtMN5SjDVcmnWXRs0Q+Brf0/hOiqOs1JIyJxhswkoLEi1JUkGSCOJEEiWCOJaEsXVeolgQxYYogjBOiWJNVCGOMM4PGGY3wSADdzuWtGMIoxBHDzl4VPLujxg+fPcQz5Ps4ongZVs3/fl/eP2W77/+lom/af/s76Xj2/7VNzbAr9go5M7xpe+8+5HlP/hvf9IPpsfX8eabV1Ey4I5HXKabCSfO9HjbK/uMtzSqn6JkilKZz+ukuI6D6zj4kWLoZmzjSiJPEMXCXpxYEScQxdI6CElp+yWpJk2tu5AaUxZjgfXWpXVnHEfgOQLfkwS+pFETtOqG8aZm/WTIzESXxKzy4Xsl7/vMFOuCgCu3CbZtdNmxSbN94wof/YpheTngkg2KiRY06zFzxyXzKz7eTghjwcyYZHwcDh0zrHQ0s4sBu3cEvOLFXT51T8BUE3zPQ8lxrrhY8KOvn8eV83zivgmeOxOwvhOzbjxhrKFo1hT1mqTmO/ge+C44jiUGKUCKCsixN3aqIU0FSUoGdIhTQ5RAHKeWFGJNlD/HmiiGMMldmQzciWAYC7qxoB0LurEhGYaMBW2+41VL3P7SHlNNwa7N50A4vOGmhJa/HBgZ/NFD925wUjP+V1ie+cYE+Mc/+WnSVH/f8Uee+s3O3OnWtN/i3AL8tw9NkqYJiASimHufrHFuZYV/9W0DJloJgW8zjo6T4jkuruPiOimR6+DFijCWRK5NpVvGEZaJMlZKEohTSFPrJGhtAy6tTd7DmYHbAtwGrgLXsQAJfKgHmmYtYbyZMDM+YHpilfv3R/z5HTUOHBtnx5jLxRtgywaPLeth77YO/aTDQ/ta1JTLzIRivAnjzZCJsQTPcxDC3lyD0GO5E7PaN7R7CfMrHts2NLnxknnueLjPgTMt6n6MqzyEGOPizYrvedUi1+6d58/vaPLQM+Ms9RzWtRLG6wn1QFILFL4r8F2J69pYRSky+9Ci3GB7WLWmAHqS6mx1y6zFRJOkFtxJDFFiyiO2rkwO7H4s6CaCbgLDQYJOBkzVu/zEty/x77+rR7OmSCKX6/bYFWGlO87SaovjZ1dbkZj93ekNl3p3fukz73vFK1//jQdwY9qA/OEvfu6TvzrszU9NthRxmuIpybKv6CSKfuITBSmrocdvfshj35FV3vjSHrdd3WX9dES3W2MQeriuh++5hJGDH1t7L/IswONYEiV22Y2TzNNOyaw/MuaWmfWYgdsmKTPmBkfZhInnGgJPUwsSmkHCRCtk43SHuXaf3/+4y+cemWR5pcGuGcG2dYLN6zy2rBPs3DTE8Vb54N0OR0812LNeMtGUjDVSpAw5s2DwHYkU1v6MYoft6zo8TEqnr1jpGOaWa+zZEvBtt7X5my95HJ/zcZ0YIVy0aRAnkhfvXGH72zt87rE+f/G5SR493mDzhGC6kdIIUgJP4LsCz5W4jsBRucUqipoMg73JtME6LakFfA7yJLWSzoIdotTWukR58igRDBLoJpJuDINYk/ZDtkx3eNk1q7zpZT1ed63GEXWWV3zixCOKXYaRR7fvs9KpsdLzOXH23NSWePO7Xvf6b1Wnznbfu3XT/56a8v8tAD9xZpWz884PPvTo53+VzgPrJlpwdiEL3jwDRuNL6ElBL1H0ZY125PLBLwfc9VSPay7p8PZX9fnmG9pMj3n0hwGDyMN3XaLEJYqdIlBKEkWcSpJEEqeCJJGkqSDVotTaWlCoEkOWEcXq/CxZ5Lka30up+QnNWsj0eI9BPOBLTxs+9OUxHnpmnAnP5YrNho2TkvVTHptmJFvWR1y0eYWnjg/4+L0zjCmHmTFBqyFo1WPa/ZTPfCWg6RmEsMAahA5vvDnk0w/amph2TzO/4rBlXZM339Ljof1d9h3yaPgJSgoLcl1nGFmt/z2vaLNn4zwfvKvDA8+Nc3KlxoaWYCww1D1N4Gg8FxwlUNLeyJbJIS8/0plU07pc4ZIM6JYgIE4FcZoBOxUME0E/EXRTCCNNEkU0aj3e/OoV3v6qDtfsSVk/6TAcNuh0PaIM3FHsMAw9+kOXYaRIU8FyJ+bAgw+vu+ZF3q9ec83rtDHLfyLE5Nc3wNudFaJhRKOpvveLd97/G+/9i3unZttdpn0fX1o28VxDHXvSXQW+gloi6CmPgedwuuNz9sE6Dz7d42+u6PKWV/Z5zc2rTI55RJFPGLtEsUucOMQZ0JNUkaRZwiYtAa5Nxty6rCkTwmRBpc6cGY3npvheTM2PaNYGpAz44mOSv7xznGeOjSFinx0Tho3jhulxxcykx4ZpyaaZmG0bOpxa6PKHn2yQhDW2bBGMNx1aDWjVY4Qb0Rk0GG8ahLDZ2TiRTPqKRCd0Y49uP2WlozizUOOyi5r82Les8q6/8jmx0MBRcXZjOCRJwDCSbJjyefGuDlde1OPZE2f40Jdr3PHoOGfbNRq+oulBwzV4jsFV4EibzhditLpOA0bbmy7VgtRAkgrrn6eCKLVJokEqGKQwSAxJkqDjkKlgwGtfucrbXtnh1isSxmoOUdxgpe0X1ycHdxQ7hJEiimzTd6uWctuLB/j+Ciun7l73hJ78je0XX5+cPDn/ZxOTDq3mPx3Q/0kBvtwe4Pm1Nz355IO/99gjX2ypuI+feEQYpCcQAjxlpYJAWJdEgicNQXYi+8qnn7jMhwGfeKjB3c/2uf4LPf71t3e5dFuHdeOKVt0hij2ixCVJSpCnOcC1RBtpU/1GFOn3vJbFpvk1jpPgewmuiugMYhY6Mb/90YBj8xM8tm8coz2maoJ104bpMcFUSzE17rJ+SrJhKmHzTJ+p8RU+97jm0efGuXKLYKIpadYlrbqmUYsQbojvOzjK/n1jIE0lg9BhMIxJtKA70HR7huWOy+xSi5v29rjxslU++IWA2rLCkbEFpHFIUo8olgxCl+nxgGsv7nHtrh4Pv+wsJxYkf37HOPOrdU4v+XhK0nAFXi7DpA08CyLPpQqWyRMjSDTEWhCmMEwg0gbSBJIYqUI2TQy4cru9HtddmtKqOSRJg3bXJ4w9ksQhShySRFlwJ4o4syOjRGK0HbMReC6OmubMOcODz3xx6pZbk9+79eYXr/T63Y//U2LynwzgTz69n+2bN6qf/tUP7Hr2uedaXrJAqx4gZYrO4mRtQCAgqwZ0Eus9uwr8BPzUUNeCgRL0HZ9B6rIU1bjj0THuf25Aww/5/te12TKVsGPTgJsu7+IIRbPuIISVKzYraWuljakwNwYhDUpYL9eQgEx49pjkkf0On3qoybMnm0RJnaajmKkZJhuGibqxPnjLYXLMYWpcsGEyYdPMgI0zK9z9TMh7PrWOjeMOMy1oNRSthqBZT6j5IfcfVAwjB7dhQWWMIEokgaO4es+AB58et4VPg5TVjsviqs/c4gQ/9vo5Ti8u8eATM7gSEDEaLIBilzCS9AYOE82A8VaDG/f0edmVfd7+8gX2n9J8+qGAh/bXOHi0QSIcwlDRjxVKSIQQawLPLCdgNIk2GK1xRcqYFxEQc+M1PXZuHLJlOuYdrwmpeZJGzSWK6rS7LnG+oiYuSSoL6RilFtw2NrIyMslqjDp9hzQVhJHD5sl5xvlUa+7Y0V0bd/+oWjh3KJ3ZuPvrB+DPPvsc27et9+69/6Ef2NxKfvNAuIrjuhhjCDyJ1mURUCpBSqsNE2lQqcFJIVHgptauCpSgngqGGoapyzB16acB3W7Kb3xwApPErJ8Zctm2IVNjCW95xYBt6yLiWGR6W0KFucn0p5QaIQUfuavGU0caCMfhxNk6Z+bqBDXFmC8YbxhagaYVQLMmGKsrWk3FRNNhahymxxPWTw3ZvK5Dalb5yL0tBr0Gu7cYWnVFsy5p1jTNIMF1Iz73YEDYl7jrQGZgihNJo6Z47fUD7nlc0wslvUFKp++w2nWYXapz6c4mb7m1w2PP1jmx3ERJDcSZXnaJU+smDSNJb+jQ7nk0a3UatZBLtwy5Ye+QU/Ntjp9bxXFTnjzq8DdfriOUsuAWcvQiGg1oMIY4Stm+PuFtrxgw3UrZu92wfgrSxCWMmiSJ7ZpKYoc4dbI4yCaQqjFRkgM7ldn3bLWjznz51AiENEhV5/BRzUDXf7OTPNKvj130vsOH9kW7dl/69QHwpYXTDPuLe86ePvX7Tz/1qFw3qcjVnrWlbOdJ/uyoPJgROEVQY3C11YBxagi0oZ4KYm2IUkGoJWEqibRLrGGh1+LLT2kMKX/3UIwQqb1Ixl4kyMwS6wXaikQhkUqRxA5SO7iOpOnDzhlDw9XUfU3dh7ovaNQkzZqVQ2NNyUQLpsYSZiZCNs10SVnht/824L6n13HxFEzUM/auS5q1hHotolEfUKvV8ZVEyUyDY+VAHLsMB4JBmNINlW3mGGjbMtfwOD03xksuC/nJt87xW3/jcHLVRwiNMTE6NcSJSxRLhqEtY20OHBqBR70WUPfrBH5Msxbx4t0Rnhtz3e6Ed7yyj6OSLAmkEcKMivJM0mlta/F9VwEew9BhacWxdTtpHvNksjDJwJuqrFguP0QW+FtgJ1qQ5s86TzzlQbfLijGcmH1M7tjl/P7EVP/eJBo+80+Bzf+fAf7EQx+h1TK1kycP3L48e0RsWe8ziCCOtbWgsqIfnRpSbfsbE13ac/nXefSeV8El2c1Q/Ju2+tAegkhLEiNJtUOsfdLM9qo+iiylAEcIm6lUENQMgWMIVIrvgu9A4BlqvqDmSeo1ST1wLMAbgvGmZrKVMDUesm6yx6Z1S7znU5q/uGM9W8cV001Nq6Fo1hWNOtRrKc1azLklzZFzPoFny2/tDW8DumHksHODZsP0kM7QYzA0GYtLVrsOzVpAsz7OO145z9Fzs/zRxzfjSAeDJtUpiTbEiQ3eBpEtiuoHkvrQoea71PyUdtfGGJ6b4joprpviSJtAk9Km80V2kJUmg8hALmjrrMpS27gmTSVaSxKdB/PKBqWp/V6SiALcaQ7y7EjTDNyZQ6Oz66nTTPcngk5Pc+jUY2L7jvbtO3ZcdOSP3vfhwY/8wFu/tgDfu7Pn9bqLP+uaMz/rOwM5Oebg9AVhZDOKaWp1nc59VmVQGZtb7xUcXQLdetfZzZB/ral8XVbKWS9XFIFSVXMDWSbPBlaO1DiSrIYcXCVsqa1rs5eBLwk8Sc1X1AJFsyZp1g1jjZTxZsJkK2R6os+29Us8dDDkg3dtYiLwWd/UtOrCgrsmaQSaRpDQrIc8dACe3F9n14zJdG+ZNh+Eiuv2GnZvG/DwM+P0Q8NgmNIbOBnIXepBjVowzne8dJknD87z4L4NYBRap/bmTwxJbIp6kkHoUB8aaoEi8DS+5+J7Kb6TZ4RtibFS2m7BIm1pMMIgKPVcGZzbEmKdO1I6t18rVmxWapzmYM7/Lc0dmSrAKb+f5ommLJkUabr9lKXVoVwNz/2nc/2mF9Sb7wSirxnAV9t92Qn7v/Slr/zhv9tYO+J57gyBZ9+4zDKESWJlSKpsylzpMrngKFMBsygY3rJGCXBdWFl2RdCZCsmTN5XM+8iKm6eq84SOklnGUoFbFG3Z7J/vKQJfUfMF9ZqgWTO06iljjYTxZsjU2IBNMys8eGDAL/3pek6eHueiac14HVo1RaOmaATQCFJqQYznDmkPDUoqXGWQsnxn9qJL4sSjVYvpJ5p+VmfdH6Z0+5J2TVHv+gR+kx0bYn7lB9r85/dLvrJvPQaFNtqSR5oQJZooVgwjxcCX1EJF4El8z+B7Ct/RuK71+x1lLMBV1vaXyRQhzGiDbpbaNxmJGJ0DvZpjEFmSSBY5h6QA/uhr+5kpkm92lbbJpDjRhJGte0k1HDh82vuuK4Kf/pc/8MPu//tTg19UTu0fnc7/RwO83emidfLO++67/9985ZHl4PKdE/iOQCmD5wLG1njEMr+LDSrNtHgB6hzsJcjLtHqWTs6SEUYbUiMqwC4P1gA8k91ZYGklipICpawscrJWNNeR+J7EcxWBb0cy1HxDI9A06ymtesxYM2KyNWDTzCoP7u/zn983zYGTk2yftA5LsyZp1KVl75qhHqTUg5g4jfjAF5pIpXClQYnSJtQmX8pdvufVK3z+0Yhu5NPPAN4bKLo9Rdt3CDwf322xd2vCf/mhJf7j+wQPPLMebSSptmn1OLGFZmGkCQNb7ur7gsAV+J7NbHqOKTK2jtJIZb1x299aAXiZ8gSyc43NJeTvPQd2DvLUWKmRZvo6zbz0819XAW5ItCZJDHGiiSJbMuAoweXbA+RwIXjwKw/82xtvfpno9bo/12j84zKd/2iAry4exhh94+rcE7UdG8AYO1/PyQEOiNwtSS3AUiVGQZ0atDKFBNEVhq46L5bBhQ1Yc1DnJ37N+8oBntdg5Jm8nL0dJ687kbiutPUbniDw7cyTup/SqFlwtxoR460BM+NtHtrf55f+ZJJnT0yzZUIw1ahIk8ChEdj6lVqQUPMjXDfkzNIErrItdtaWK4PMNJUkiWLjhCFJYjpxYGurQ81gmNIdSmp9ReC5eG6A64xxyZaE//KDC/z8H8ODz60j1dICPDXESZoxuSb0NUEkGXqqkGCuC65jV01bp2JzEDL3xrPnC2DcyhWy+J0yOCzAnQWNJTGJUXmZVqVn5qZlNTBJautf4mz+jBAWlPsOhZxbfKhWa225UUjJP/bxjwL4e/7s0/zpJ0X926/7E2/Plh7t8Rr9YWbqJ4ARWUo8q2jL2LO4o1VFgqQXArYpWFtXQG2y9LIx5wM7f0hRFlHJwpIUWdq6rCe38gQC1/aA1gJDzbf6uV6LadUjxhsDpifaPHpoyH987wRPn5hh07hipqEZqwmagaQeKOo1QS2wN4dN9Uc8uE/QG3oEiuwmsxo8b0JItSBOHBqB4qbLuzz0bIt+XLaD9QeKrq/wPYXnepl+HufSrZpf+5F5fubd8MC+dcRaEmudNUuXPZihJ/E9bdk7q01xs5vbHmQypZRxMsvyXgjkeVLIIIrsZ1nTIqgWcJWSMjcXKFfpNau3BXhe1mxf94Yp3aGhc2KBZ8/+tfeJ972pfurwx/tbd73pfz/ADxw8xp6Lt4z/zrv/9g9/5t3qpTumV/nuV8U4zhidHmCU7ZARtkNGSYFKTblUqfyDZ3e8I0qWrrJ2BdC6AHbZFEymvYuLIWxBkZAZuLMiI1UAHFRWMeg64LnYTiAvK7DyU2qZvGjWQsaaAyaaHZ44HPIf3zvBk8fXsWHcYaauGatBIxA0aop6TVEv2Dsl8BOa9SF3P+mx2g6YmCjT5DlgdBaUxali3ZTilS/qcfcj2jYORLoCckngSgLXwXU8HKeGlJpLtxp+9Ufm+Zl3Gx44sI5YO8RZBaAte7VM7seyqC70HInjZEVYUqCc/NxQvL/8Jsylisir0igTQmuPEaDryvOaFTkHdl7gVTUTqqXNYZJN6YoNb3nNHLdeEb90/xMn/viiy9/240sLJ1enZv5hu8L9gwG+uDhHp738M0vzJ75zdTbkC0enue2qIevGygYF6z9nJ81ufGCBneZ3uCBVpc62gUsuQzLNbcxoILmWuTOk5xm5QnvLvIKu1N25JekobH2GY3Bd21gceJrAS6kFCfUgphGENOtDJsfaPHYw5GffPc0TR9ezbtxlXT1lrG4ycGfsHUhqvmX/wE+o+xGJDulGPkJJ3JzBCw0uMnbLEiGxS8Mb2nKBKGAiB/kwpe9ZBvc9mdXE5xvQGq7YYXjXj8/xH/5A88D+9cTaIUwFUaozFhcEscZ3DZ5re1edLO5wlDUAlJTZ+cm68vPnSmFWcWNWY5014C5IqEJMtvY+W4UzAstlaJXRc2s4zRw1ncVa2zYkvOE6l9PnBPu7Z78T/8kjaRL//P9WBl9YOMP09Kbtf/PX779S6mWu2R2gjaDXqxM4GmMEUhlccntOkEpRJHhSKcqlq6rXimW7esJEhSnKrKSprpk5a1eDyny5zTp0VBZMOY7BVRbYnmOK6sHATTPdHFMLQiZafcYaXR7cl/Bz75nm8aPrmRlzmKmljAWGZgbuWmDtxBzcNT8l8BJajYh9xw13PdbAkxJX6SyIKz2K/BzEqSLRDre9OGbXRT2OnKwxU6do5B2GKf1hxsKOwnFclDRZ0shw+Xb4tR9d5Offrbn32RmGcc0mwxJDPavh9l0syJ189dJFb6tUabHCKSkqABcVkFeWyfNAbkYBXgF3/r21srMAt7HyRWvrpuT/JoSgGUDL8fnigy2SVBBGcyx2Hr3ye773+7efOHH6xPbtW/7pAb6wMEut1tpx4LmH/4dIV980VgtpBi6uAwJNHCc4jsmahQ1SC6Q0ZaStBTpnbWMKW0kXjF0Btc59bc4DdilLMuZeC25hkCq3BUfb3lzH4Dka19X4rsb3EgIvIfAj6kHI5FiflW6fe56BX/vLDTx1eJrpDNzjNUOzJmgEovDKrfOiLXt7FuA1PyRKU4aDgEDZm0yKytJPni3MkiGJY7W8E9rO9FhUAK7xvBTPdXBdiaMUSroFwBFw1U7Br/34Cr/xVwkP7J/ibLvFsCEZTw3NxBBkEwd812Tef+6kmIK9c6mSA7x4v9mbFsU5rwSe2UUpV1ZTaPMRsFcly3mvK/mMPAEtwHMsBg4e17iOYBh2wF180wNfeTC9/ror/+3Zs2ePb9q06Z8W4GHnBCYKbliaO3B7e/kQ66dcjEmQ0mpZx8nHiOV6TaAKO8mM2Es6S9bY7+UnRlROTKn5Rll7VBXmF8GOe8jZ22TyxFSGA9myWNfR2ZiJtAC372XgnuyxsDLgVz9Q5+NfmWGxN8HMmGQmyMAdWN1dzwLLmi+p+yZjcKu9Az8CIu58wmMl9pjyGanHRoyuUGlqmx9avsMrrunz4IGIbuwzFmvbxR5pvNDWqnuOLJqv7eQBm6DBwCVbJb/1rzt8+sEB7/yT9ZxenGAw7jDuCZqJpp6AH9vRy56yA43cPNCUogiC8+dqoF69MYUoekVKFi+IqHLtKsZAfk1TXekmqmr2jPDyn89lXH+oiRO7fYvR8PiTBxkbX3+7dJof6A8Gx/9JGbzb69KoN3Y/9tiXfur0qfvZsSkhTuz0KavTTGE35YAc9UyrGTGKZ5NF32YNuLURxe8ZBXiuuymYJU835y6AygGuDI402Y1nwe06KZ6b4rkJgRfjezHN2gDH6XP3kyl//JkWn7pvHZFusa4lmA6sLLEWYO6Tq+wQGXNX2TvGcULuf26cfuSwsZ6/n7UMnltpkjhRBK7ixksHJNoCfBALO4oh87aHoWUya3GqDIg2+2jBJpgeF3zny3s0/bP8yWcG3PPcFLNxjX4gaSWGhmMsyJ0sDlEmi0tMBvL8HIqydlyCpGTxqmSpXpK8Fc6MAL4CdF2W5ObxlTalJM0BX/TJStsfKoUpbNV+qHj82Ud4yc1bf+rWV7zy8TDsHvL9r+6Nf1WAP/z0UfY9/QlQU5vSwaMv27t1P4G3nk7PJ87KU3VmC2a8WmFk2y42AnZT+Xdd6us81V6VJWT+a4W2swjfrJEmeVbOVgwqSTH5KmduV9laDN+N8byYwI2o14d4Xp+/vMPh1/9sHUcWJnH9gA1NwaSf0vINDR8aWYd9zbfZziBLCNn6lTRbCaw8Weyk9CIPTyk8aYoAM3//hvLc2PS2JEpcau6QDeMDVvtNBrHIxq3ZWMF108zmU5ndqSzARwJXW/n4plt7XHfZAr/250P+4nMzLCcN+r5Lw5W0HFuD4zu2Lj9vhnDypE+28slCqpQJoCqpVMVKcX0YXXl19fUa0yA/jF7ztSnLLYoyXm2bLpYGkuNPLHDZA0+8LInjTefmVw+ZaD/Ce+ExzV8V4EmSMrXx1Tu+/JUn3vPskw/zK9/fZxi2cVSdMHKLZgOtK7ULGZjt17oCbFE6JdXnLIFQgrtS6lp5CEzJJrLisxfTZu1MFTnC3GkG8gTPsZLE90J8d8DxuYQ/+nSDj907xdG5CVp1l8kAJvyUpm+y1HsObpmBWxZJoSDT3r5nb5xWI+Sj9zscOlEjyCZwFe1ilCgvxjgYq8PjxOGS7fCG67r88Wen6NUdWrEdqONHWdygNI4js7F1VEDuVmjVrgrbpiU/9919rtx5mnd/apKjs2MsJzX6rkNDCeoZ0D1p7I2TuUzF6lfkLzICwerzMtNpRvR48eczVNqb+AJ2IhcCtih+Nq38rM5S+0Ntu/ZXBpo4NEwHd3LTlRe/RzZe9jri5a8qVV4Q4INhROC7/OVnHt7y+XsPXnzX3YJLttZ4xzetomRMf1gnjG1XTZJVmuXVZ1VAl6+p3ARZ+rdS3FOcpIIZcto2IzowB7aojFKWGbita5Kzd4rrJLZzx0nw/RDPCemmEb//YY8/+fQGziyNo1WNyTHFpGcY8zT1jLnrRfpeZnUqmTTJvPMC3J7NXoZxxKHTPr3IZ8LPXJw86ZS7EnkW1lRqUmKHVsNh55YI5Q/pRk0GnqCWDdnxMnnlZhLFyV0PoZ4neFXMjPX5sTf1uf22Wf7k0x3+6CNTLA4aDJyAwFHUHUFNGfzEWDaXVqo4sixvyGXneUzOqFzJZUqV0Qupwiig80xokdGtxiTZ16mGSNsOr24CURTj6g7f981LvPbFK6T9Jy5OzfgWt/Xy40aHCPn8I5pfEOCHTswzPdGYafrehz9933NuL1zPf3l/jUcPzPMvvqXP7q2a/jAgjl2ixCnKKVMtS9Y2ZSValcGrwK6y9pqSn+K0lXagKYA9Ik9kViWnUgtwJ8VRKZ4bE3gRnhvRHkbc/5TkL+9o8ZF7pximTTzPY8oTjHuahmeo+4a6V4I78CW+L/EzaWITQ5kzkQHcc23m89g5wz2P1oliF79hzgsw80eR5s7IIIoVruvwyuu6fPCLPQ6cbjAI7LyX0DV4Cbixxo00Stk5jVZGyHK4Tw7w3GPXkrrvsH58wH/4jj6Xbgv5izuaPLJvjIVBg6HycF2HwBHUJPgys1Fze1Vam7coWBOV818hmyrIi/dB5XpWmfu8xFD2frOv85a5UOd9oIY0DHnR9iV+/M2LfPMNmrHGJIvnHncndrz2wypefpFO2wv/aAbftWVc3vPIoRv+/CN3j027Ka0xh6X+BO/+W4ckOst//YkOzZqmL3ykdIuC+NRYoI/Iluy1MQKNKDpuCt2dMXZFbpdSTxhkzuRFSlkX5Z5WdxsclQ8MSgs54jgx7V7Mfc8I/vSzLe54bIzldhNZC2jWFOOuoeVp6q6h7hlqHhlrW+au+ZLAUwSeIPDIKvR0Bm6N71r9rZyQg6fhTDuwiZVM344mTkoA2KArK0TTkihyWN8S7N464OmTCf3YJcxmfHsRFnzFZN08UQNyTWdOAZzMhoxTWx/+tlcOeM31K3zp8S7v/1yLR/a1WOrWaUuPnufgKYEnBb7E9nBKgyPyuCabQiCyst8LAXwtJa1lcVPegKNH1uxsBLGG0MAwFcSpxoRD1tfa/ORbF/jB12sWl8aZX64TRZJYfWFsbJ17g9e88rO8wPCgFwT42XNz/kSdP5C9042Lpw3d0M41OasbfO7RSV5635C3vXxA4FuQJalLmqYZY1dBLrMO7mojsCjYugT46N8vT2DJ1gWDZ1pbZd0pStqJWF7uZsiYhW7C3Y86fOa+Jh+/Z4z5TgMRBLhNl5YDY67t5Km5ZLIDap7IDpmVnGa62xP4OXvnAHcSPC8h8CKMibnzMZ8T52pMTwpcqYs6HCkYXZcyeVbUV6eKQeiyfb3gldf0+dhXInqxyyAWBK7BSyyLh7GprFKq8KsRckSm2KNcTW3W1KHmh7zt5QO+6bol/u7eLp++r87dTzWZb9cZCDvVwHEVjhC4UuBKiStMJrUMEpFJLjP6mdZ8vhGZUoC7LL9NM1Mh7+SPDcQZwGNtMDqBNMRXPV7/0mW+6ZqUlZUxllZbrHTqdPoO0Wy7cdk1zh/44dlLgcE/GOCLbUOSDL/r+IlHxi/f1seXDourKcZouonk1FyDP/xoi1fdMsemRgjYUQypVKRGFUXyJgc5onLyc81dlSXVFE7uF+X2lKkcuhjQKaQu5IjnxARBzDBMOXAGjp9VfOgLY3z2kRbzKw1wA5yWS11Jmq6h6WhqrqHmQuBacAeunUloy0xl5RDZv5sM5LoAuefa9rQjZzVPH/PBdbNl3lRS9KNpwarTkObNAKkd53zFzpDLtvTYf6bOIBDUE4EfG0JFZu3pjL1zNyW3IEutUmpakclFlU0fcBlGLrVayPe9NuSNN63y+Ud7/PUX6xw/G7D/TJ1o1SfxHYaOg1TZ6Gqyv5cFnI6oaHOyhu61bJ5dwtwd01QYm0xrG0gKJje2hkknoCOIQza0BvzEm3tsXudx5lyN1W6NueU6c8se+49HdMVTNOrBC3H08wO832uLOI5+8tGnnhuv1wXrJj2UilkdpMRD+2mOzjo8dcBh03UxrgNSpEipUEZl9mAG8EymQAXgmUzJGbxCBmWkLsjkiSk68e0WJpaxfd9OUk3SlNkl+MKXHY6crnHXQzXOrNQ4crYBvo+qOwSOouEYGo62LoJrB+cHrh3XZkGcHzI7VAZwMs2dgdtN8V3L3vbGiji2APuO13HlqD1YSBTKevBCixYNBHlPo8tl2wfsXtfnmaMJ/cSlGQtCB7zEzgRUFYBLKRBSjjA5VJZ/XZFBed9kqohTl9D1aNUivufVIbde2eHMSoc7H/Y4esrn84/VObsUkA5ctHSIPQVSZYkf25UvyTKejNYDVam8ahiUVnCuyfMxepmtYlIwSQbwGGVirto7YOeGBAeXmm8YhC5nFzwWVyXDCFYXnp1+zVt+6Kd6q6ff1RjfcgHf7QUAfnzfZ0mSlMFKG1fZQTdT4y6uH9OYWOLwmSHHDhgefMLjVTcOCYQhlSmpVhmoVTabRJx/5JZZ5S2VKQsK16TK2oUUUSmunxKnhqOnBE8fVXzhoTrPHPN47liNTugTRj64Hqrl4itBXUHd0dQqPrDv5HUaedmsrQv3M1nieQrPk9kNYErt7aY2s+hanR94MUZHzC1LQuPjOBJPGpyKzba2riMHeWpG+x2jxEXgMDMZIdWQXuzSd4R1OuKyYMxReiQDKXOTGiAfdoQoyCVvLcsHI7mpKsZP9EOPDRMR29bHvPiikEE04PuPtXnmuMcXHgx4+ljA0ZM+ceJgfIWRCoQklZVsUDWZv1arVLNbxXMG6uI5BZ1akGtbkeeZmBuviZjcnHJwf8z+kyEnT2uOn9GEcYqjBCdOho2Pf+ah75RSvesfxOBLpz5GOOyq2TP7xNW7Y3oDhRQpgZ/y8mu7zKyfZXZ5wCfvDDASuj2HCOs1B7UkCyAlaEka29c5sEsjf+3YAgtosvklrmNAaIQ0xJHdyUsIOH5a8ld3+PRjxRPPBRw+5bPY8whTDxwPlItqKTwpqCmoK0OgsOPMVFZ4pCxre66wSY8quF2Jl8kS3wPfI3NNbMrcdTSem2QZ0ZhaEDG/kvKFB5q0uz4TYwIniw/yoq8LBWNFzU2hxSVhqJieUrzmpiGff2TAyXaDgSutTHHATQxunHvWmccuU2sXUp11Iou/oY1T+RsW6F6qSB1F4iri1CGOXWulujENL+bWKxJuvDTkzS8bcvCU5Ml9LoNI8RdfqHNs1gUh6Q8c0kgVbVPGocwGVVE+AnAz+mw0IjEIrTHYiQi1usYNUlyRIgz89/c3+cSXGpxamGBm3GFjIyTw7J/qD+HA7GHx4hdfoX7v/Z9P/tX3vebvz+B+0Pj9Vm3+qi3rhgwj6zPW/Jjp8QHTE7BnW8ypOckvv3uMD99ZRwjDNXti3vaqYVH6ODOmufqKmEZgsvFpIi+fuIAZKIrhPO2+4MmnXJY6kloAD+1z+eS9AcNYMYwV52Y9tHCIjYsWLjgOwndwpMRTgkAaggzYvjL4ytgacCfzfJ2Sub28L7MAt8p6NEXB3p6r8by8QCst2NvzYpSK+PLjio99pYnyHGu3jejv52fw3AtP09zxUAyHLm+8ecDH7+/wF3eO0UsCGpkOd3MdHudJGVN0CwkhC4DZPyUrWr8CcJ2NdXAsk7uOInEcnCS1QFcpStlB+hNBws17E27aG2NEyFte3mcY28ziJ+71eXifR80XLHYUTz7j0enLTCWJC17hMglgM5uNQHP11RHT46ktlU0Nb/umIVfvju2ceAf+8x+Oce/jDagHdGJFONQ0XLsadEODPxxc9fJW8/cN/Njfi8GNWQSmWt1z79tb8zpKjIUkaYQQBs+NadQGKCei1xd88PN19p/yC+138ESNT95p6wNMahib0NxwVUSzZvswz899jQKczHVY7Skeedqj05ZIR9mZKMaxzCQc7FxgB6SDlBJXCgtmafClxpMWCJ4CT5Uz+izIyzHJdo8fWTQeV8FtGT4rq3VzBk8rR4LvxBgTcWbRIwoD/DGJl6W9VVaVN5LFzDt6KBNeJcglqVZEsctEU7F1OsITQwaJzyAR1Bw7BDOvIckTWkpWy1tl8bfs35BZ8keX2VOts+aTUholSZrlDVS2/1FCnKSo2OYSHJUiZcKWaZ2tGJpLtw2JTB/pGNptwSNPO6z2JapQLKNB9eiVtiW1jcBw41UxYxMak9h/qWf2qhBgpOHtr+nzifsaDJKQ1dBF41B3bLDbjzWBSdSZ5f7ed/6bb21986vbnV2bx14Y4O3VBRCr71Lxky8fq5+lGbgYIzMdnDBMIh541vAXnx/ny483QHkgFQhIgHb+iyR0Vg3n7mpUi0suDGwYWd6MEOh8ywWymlNhtZ8QEiFlZmXloM7SzpJs49bcN648O1knvSLbeo8C3LatS+Fl4PYcihJTy+AZizsaL8uOum6M78ecWtT8+ecb4Hi4UpQBZiFPLlBbXfGG8yGhFmw2jxDFLu94zYC/u3vAc3NNeqlLPbGb0toqQFN24qg8J0DpUYsyxrFKQFYKvPJDF7UwjqNwUzsvxc2ArmSZNLN149lroTOLNsURGmE003XNN79Eg0gzmQmIfP+M5yG1vH5JS3TiFFjQCYRYuapUym3XRPzmTy3yl59LeOxwymq3xopwy1/dXuL+x/a//MCxU+8Ko+RfflUGv+euT6GN8l604yhLyyGzy9oOz1E2ir/j4YC//mKDU/OB7ftyVcbgF2oMNaSjkSTnCZSiiqei34rl1oI5b0FTAlxh08q+sFLAkVSe86baSiGRQ2UOSs7aZVd9CXBZyBbfM0VLm+fpyuCcBDdjb8+JkTLixKxgoRMgHAdfMiJPZPVjVS53VTqMAC9zOqLEZaoVsn3DgP2zIYPUYZiCnwrc1OAmmQ5PKJylMoWuKndTWaxmJ+2asqOqkEYaJ9WkSqKcfPtylRWrpUils5VCl9asKCdj2WeNCA0i+15uEBROWJHbrHD4BUsySpwIYZuR627Kj35LyBtumeeDX+zxxYdr9CIHoWzMMTtv6Mw73HP/Z70kOT/fcx7AT509jhCCx58yfPjuKQ6crhU+rkEShg7aOFCz1hHI0av4D30IMdK8gBBIyhSxnUoFrjC4IgNtJgHy18X31CjI8xERjrKbSzlOOQ/FglvaZy8Heh58ZuDOu38cXUgU17H61PNiEmI+fX+NuYUa7pjCq9ZwVB2UtWdnpAhJrAkCFcPQTrB9/S097n9qSCcJ6DsOtUQTZel0JcuCqLzgTAhN2TmUB5rlqA1rHWYzVQzZlAOBowWJEjipzHaxs7U8SQb0MpmWB88Zi+cul9TILH6ynngO7tIVg/MRcuHv5rDIfleiiWKPdWMpP3l7xI++YVi0REoJB04YPvGVlBMnx7hQQnME4HMnPkKjXn/Jp7/4hev+x5+P8eyZABG4NjA0YIRA+CKrLMtrwb86sKs/sbZrO08WyCyJIAUorM2Wp4mVKL9WWVls3rHjFM+iGIVQBXYxB0Vh+xEvBPA84Mx1t5PLEpPp7dFacs+N8dyI2bbmscM1cDycTJ44lQKlIhGyBuHWTTIj5aS5H5574nHscs2ukKnxAe2VOv1EUVfgJvazqNQOLlVxFeBYkBd/SJ5f96NNURukla3pd7UgVZJUaVIlSDKQV4vXRsGdlUcUAM9WkRzkomr3lhWgz1dp9PygyT+TLTrLSzPyrWBSYbjyoohGY8AHvqiu23HJm1/yv/7qtff9y7eXbsoIwB/br/Bc/c3PHPauTqTPuqk6UmRp1XxJpSIyCmvvHwbwqplkQWBGAF4duVbsk1kp4awCXImy1NM2F+edKlaWqKJ7pQR23nxr2TvT3A6F3s4tQcvYJbjdojoxRhDzqXt97n+mifQdPCns/O2igrBsoysr/tZmM0fLi60nrki1YjB0uenyAW+4tcsffapJlPr0UkmQdZ47sqxWLGSKlBmLV//U8zE5aEeWQ1EzcKdKopS2jC5lNlpCV0qRdVG9mRe62dS9HimGK7KbRXHWaLazyux/78fIzWoDaNk2tFcSLt0mr75oc/eb0zS+r/qfFADvrJ6i2Wy85o4v3PndBw9FTPs+4662+7XofG5g2SCsiz/4D3sU575y4WV2EnIwlEDPd2MoRxvkLG63ICnB7uQd9Mq+HmHxrBvGVaPgtuMU1jB31rPpZe1trpM3HCSVIyYi5q/vbJEaH1VkL6sBZtnXWKx2VDR4zuJF84e0ozTSPNh0ELi87RV9PvDpkFUdM0gDBqnATShYXEqDTERRdGbtwrVLtaxYk5WCJy1InazTXWUgdwxKW7mSKoNKbQWjzR7LEtyFRVmt7izLmPOdNC4M8BcSJ6NoKepaciJAZCNHVFZLbwePeknIytLgu6+9/uV3HT1++vMX7dgyCvDFlZRBFO86O9e/WMcdNkw69Id2I1W7zZwgyYf1VIrUi2qxr3LnrW1ezT9sCerRLh1VYUApztecOeirsz2UEoUWz0cjjAy7yYDtKFE6KYUdaDvubWOyyZi7DDCdCnv7bsRjhyWHzgYY5aKkxJM6k1FViVIuV+eVlo5o8LIBIk/6pKkiTlwu3hRz2UU9vnKwRqw8BokgkOCmBicRKJE1ekuBTDIdjiSr2az8SVFhcVGRRvnAntxdsfUuFtxZO5syFXBntUDKIIWs1OSTBZkUOrxaXltd6f8+q35RXWryaWCyUnagstmOkjBS9AYui8sRkxuHFwdOvEt46efPY/Czs8vUggFLywO0thV1QoAbYzdWzXffyucLVmp7c0b6e9jc+U+O1GeUTD66rFdlSm67lbpc2O55UYI7Z++8W9wpwC1HAF4d/mO77SmAXWQrC+ZO8Ryb2LFdQTGGmL+5s87SUg3hO9Z3r96Ea2tQqstXxSLMO8mrddyFN60VcewwPSl56yu7PHa4RZgG9JVHLbVaPC9nVZIM3PlaoTNPPC/MtSzOGj2ui2bwciqVPSRK5yuSKV5bgNtZ51Lr7PqUsw1zwFebUqjKlYLYTOX1+cgerScXI4F4nAE7TuyeP2EsGYbSyiiGRMNl4mhY/LoC4H/xwU8gpWTYb1OvO2AkjjKEmSMRxgaV2IuY6PKk5AU0UDadrsH1BbRXGYCRSRIqkkSKUbCPjhcrGVtWGVyJCovngzYlyhkFuOdkA4DcfOvALMPpGNwiFa+z1+nI4SjbufPcCfjwHU1C6aGkyrKXozfi2gzmhR2ECotXG7R1PnvbwU8d3vrqIX/62T5PHa0RK5e+lHipztwjgUxN4SpIYawJIKrrqs7+1ui+RVUmT7UdY11sUpDmYyW0lUJF32Y+l0UUN3TRdC5LmVINEHMGz78umfyFAH4+uHPWjhJV2Xbc7tacpC7nzhwmHpwj1aVEcwCOnzzD9q2b6u9+zx/tPHKky3DoYoxlbqXS0cBQGGRqSAVoOdq1YZ6HwdeOHsjHglVZvJrWPg/gxZzB88chywpj50FmPrXJcfJNXjPtrdaAO0/fu3ljsrYzQ4oWsbynM8mOGOVGHDrj0I08UE4mT8ya8tjzV6i1VXYjdfEjSZhswLwutXjDFezdPOSpQxGp9hlojyC1NdtOpsGVsPP9bGIp172aMj+RX/SyNijvj3SKwab2e0pDKi3glcoZu5wQkE/XSvPu/sIAKKVJYSFWwA0lwL+a+Va6P6IiTQRxPgs9kvSHkkFoNwOOE8MgMji1dTvf9vYfrLdXfqg/NrHBAnx5cY5+r/3qDeunf+bMyQM0fJckhUGkkX0wJi0GtuQYlqKcZ8FX0eEjS3X1wjPKdKPypOxjLGfnZdKkMsfDgpyyRlpVQF28zpI8iswLt+C2AC6HArlVeVJlb5X1dXoRy13N//zbJkuDAOG7Vp5IM7KqlINzXjiQKnsWs8brqpuSpe6TxKFVd/iJb+vypcdaLIUekXQYSImX9VCWIx/ygF2U9pzQRSmFQWfg1hjkGmdFZAxuilmOOdiVFBmDW0mUylKaSGmKybRyJMi8wDNcQK6sXdNKGQWsYXCRMbiVJb2BpNu3OI1jgxADLr9i8mdOHj9432Aw/LuCwdtLz+E6HkQnWT8Z4Ti+3VKirzDGzubIP5AyApPZetVAc2TZhfO0Z1WqXEh/V0cel8vthYFtg8xy/qBU5fgxVQG1IyVOJkmcAuC55tZFUOk6ugC36+T1F6Ps7aoYz4v40J0uzx6pgXSRUuLnpbFrY4ZyyXv+asIKm5djNkqQJ1pmmzy5XHFxnzfd2uFPPxugHZ+B9PClKJI+SgriEXkwyuSiyuS53VvZxcEY0MpeX0daNleaYrajZXVRsnjePpiDXWCBDuUo5irgL7B6jxKgGZEm1XNUTYTlAXmcCHoDWG6ndAcJcWIIw4hHnjrKSs++LgC+fsqxc++0wU1DhLQbRA1Du7HQ/JIhzRITAgs2LU1RGfhCweUoqEX5OmeaapBZaNfc9hIFm+fsKLLOkucHuCwBrio11E5Wl+JSSBFXlW6JWxkOVGpuy96uY6dWrbQ1n/hyk8W2D0HmnohKMPY8EoVKH2OVCS5o2+WWoZboNHdTHCZaim95eZ+P3z9kqecTKYdBKjN7UmTujSjjGFkG9TmwjSm7fnTB5jlRCZzcWVHZa5l9nQ1PtextQZ5KkeluUTop+aq7BuBQ9qaWN1/BfVkgmlmChZdavvvqgCiyYN51oNNPOXo2Jow1aQqDYcr6zYJNocNwmFqADzvP4vpTO1Zn7/9J2T/Ahl1Ldo9zpXnqqMtjd04S9iQqN0myC6cQRQlB9TSOXMgXlCaiuKPzirsRiZIV8hcSJR9GI0UBblll7UyP2+HujII739kgZ25VYe7zGDwfN1GOnHCUzVweOy44eCJA4yOkUzTnltWD1fhBVFyN8k6v1qKULCUq8kQUTkbRbpY6YBwu2R5x8cYhS/trmNSzLJ5ameJUXJwLEUjZXCBLOWl0UbtfrCRSFNZhNbZRGdClJNPeFekoypW1GuSWq4gomDy/2Qv5VgF3dZWvxnPVmTlKGqSfUq8l1Ott7t0vee5YAFIgjUPHnOXivZf85Le+4ZYnrn/kwHFnfiWlVgs3HDqTvOaue8/guRIpEhwXPvNQwFOHBVvGDE3f6tz8A50nLvM7rxpQPp88ESWjr832lUDOmZyKNBkFdvGsyEYBV33w6pFtaa2q4K6APNuv3s1KQ3P2VtnXjhOjVMynv9Lk0GINvFKeuBXrcvSzPc95WiNTqhOdCslQ3d0sL6ONHC6ajnj9TX0efq4O2iVJrRZ302zIZ8oFtHAVPrltKLNJU6IMNvPXMnsts1VF5ocdeS0zjV4APQe3LuMAkWY3eOa2yPy6S1PBRC5T1rD52nS+sOIl/55N8Gma9Zg920L+xe097nhYoRxbEx+GZ9mx6abXKDnYMN6Mjjuziw6T45KnD9V470fXkQqXKNtKglQxEdgTpoF898sLFfGv1duj8mR0zPEI0BmdSV0N0nJAiwsAu9DhSlSacCvgzuYTltt2cD6wnXJAUDHizdEZyBMrT1RMrR7xlQOKv/tyg8HQg7qDIwWuGJUmawPMtTf3eQBnjf5eYxlWffE4cRhrOrz5tiGfvb/PQwc8TMNlkPp4guJGU8Xfr9pyFfbJQF6FkQ0+sxtMWTZPs3hLS6vNU10GnLrQ3qKwJmVlhbU1KSC1qLyPHPij5FbNcOYrXTXjWf1etYhLa0F/WOOGPYZrd8dIYUhSSbvjsfEixVhdUHMkjiJFmJSGa9g2roi0wyCyH8hVWYavMsRdrtGZa5k6fzG6DF3ga1Fl7xIUa8f3Fn2HlROYH0qJbA54Ce4S5HnZrMFxyhHKTrYJk6NGge4WbG0PpWyA6XkRcZTy2QfqPHeyDq6LkCoDVTY3pNpl/jxVhCOOSpW18/zByIDSfFiSLDzxNHWIIodLtyW89pYeTx6vESYeqXQZaIWXsua95F44axjcPps17wWV32warYQ1EwyYzAqWssx6FrGPBGkyls6+L3W2aui1A4Py62xGzoetVL3w1KwR7FRwZ4NMSafnE8ZOtlufYBgpllahts6lNpYShQbn+P5PE/iS3mKfi7YEdAea/tAQx5kFKPJlQYwMgakuL9U3VGWu8oOssc2yqaXivA/PCIhLFi93ICilScUqLBg7B3g5ObWQKBlzW8Y2BVM7xXP52s2CS0fF+F7EMycEn7+/Tn/gQcNFirxykIo9eIEsZv651qxzReYXk2ng0cm6IwmfSgFWFLs0mxGvvTnk43cPefKoD47HUEu8TIsrDSqlUhdimZNMrpBWwV4C2xi78hXSRVo2z1eVXHNrCdJkjJ6vWAWLrxm/jCmH6pO7LBkBFgA3JY4K8sslTMWUMFmPhAST2GbqOLHbmGstiGJJb6hYasPjx58g4hCSFKffmyMOIU0Ek2OenZ3tJgxCu3dKakrtkwNOyOfxsvPl5EKamxLE9vedD/Cq7hYVzS0ykOfp+Wo2Uyl70+UVhU5RcGXZWhXzwdeAOzvcfAptVuDvqMQeTozrxiQm5VP31bjnmRoEDkjb0OzmafIqqFlzVL+4kERZW8+TDyLVpaOSajkC9HDo8rIr+rz+JX2ePRGQJC5GKAbCwU0p3pNISxYv38KFmbz8+walcua2bG6/Fkgt0LIEupQlm1v2tixejrKmYPIi8aPXEJ1Yg6Hie2sctux7RuQxit3+RGBraKJY0g+l3V+0p5lr9+jHQ1tmvdJtIYQgjhOmxob4nswuVspQ2u247WDy0T8o14L2vGBSjDJ69edZc7NUNHcV7NZ2yhhclZq8TNNXDlWCO9/VoTicchPUHNBuBdS5c2IdE/usVIznxjxxXPLhO5uAB9JFCIVbJHdMUVw1mo3Nb+RctIk1AGMkOTZSdFUtoU1t656dQquK9L0xDm97xYAvPDDkkSN2kkCsFf1UlHX0giyFL6gGblXlTVbRiGIE6Pm/ygz0Wmb7+VTszCKpZbK/ZcprKnUJylHrt2TtEjNiDQmuYe789wiBrp7jbN9Oa2dL2n3JSlvT6SW0PMVUXdks7ZZ1fUAgicFEzC75RJGkP7SzN6rXpYiGL8DiI/ZPJZAY0d8jN8mFNLgoQC0qy53MmSOXSFWQZ2xdbjZlWbscgF+Ce4S1K895Y20uVZRKcN2EOE2466EaTx+ugeuCtMGlJ0xlcmyFweVowDxK3qPQMpUXRelspUZkpLowlWiV7w/vEEYul1885GU3WBYfpJbFQ+Ex1OCkuR+e1alQal9E5Saj3LVurXWZk4YxAmWw2U8jEMZKVWOEBbcuY4+R5FyFwQtHR5a4WJsrKLOd1VW+BLxeA/Z8HUqz89QfGk7MJpxbihlvKRr1rKbm6RPLRIlk/UTI7s09tGyx0qszCMtfxsibLoOFcouLytcjYM/uxpG7t/rfVthcZp1CIncCzq8/GQG2KDeYylm7CvCSwSvgrgzFL9wTlaKcCsAzieI5MYfOCd7/2SZh7ELdzeQJRWuaqu4SnMcilfhkRK+cp09GgV6VKbq6q7C5kBZ3aPiS731tn0/d0+DAGXvzpVrRT5WtMkxFMU8QYRBp5m6koyuJyYFeYXALaAtumWl0qQ0mu0ZGCmQmW4pYqQp2MWqbrpUroyRY3YpmlBz0mp8tgszsdU4bNV8z0UpJ3AFtHXLF1j67NksGITj/zw//+PqP3/ncL/zW+79MKmo4QtIQKWOBrZm2SZaKu1GY+3KEmasBZ77EFDcHa5m7Kkmq7F2yYBXUa4usZKX2QxXsXQI71+Jrwe2OAD2tPFe0dxZcRibho3c2eOJQzbb7CAclbObSyWqwq83FVeaiclFe8DGiwUWlBDmf66gtsEdALtHaIRq6XLN7wLe9osfv/KXHQDugHWIhGWiBKyg0sUjLZBprnJXcQbFsnkkWCUbZ18qAybKlxljXxFTALU1GRmZ0Fcslyygxni9xEeVKDqNkUZXAuY4vNtTNVgQl7eSDdZMhl+5uI1UHTzbo6Df8Qt9c/aPOgRPPjXcH8687cS5Fm3GmG5raeGWT1dwSEnDBDYoucPddCOwjIF4D6pzh1y5159eBmxHtXQC9Ikmq7K2KnR5MAXRXnS9JymcLbteJOXhW8sEv1bHzVyx7u3nnvixt06qzVEi4CnFXmR0hKrJkVPfmxVZF6j4LNG3gmQHbSHSqSFWmxVOH73hln4/dVWffaRdkhBGSYeqSD5oq4prcLUgrw01HUiig8m3OstlY+c0nK8/FkbO2sau80Zk/rrMAdY31eyEWrp4fXY3dztPkWXFfYUfaN6CKsgS7x/36ZsDEmKE37HPy7OLrlocHx537nhScOC3ZOKaoeSm+a6h5ldoOWfWiRwPBtRo6B3IBcEbBfL7+rpyENfptrTSRwlSCy8rrgrFNweLqPHCXskRlr5XSqIrfrZQ9HJWQqoRP3tdg36FSewsh7ciKooPmeRiKtV/ngeYIcVdejzYgj3jilVJRp9g5I/fHrVS5dFfIG1/S48gHfaJUgXBIhcNACJw0H3ucB7qm8p5M5R2IQnsbct2d+3KmeI+quuIIU6b4BWhpkCYLBDWjvnUFKyPAlpwnS9a6bzlGdBbMW5syW2kynCWpoD90mFuusdrz0Npn26RhhzfAuWi9QEWSrVPW85RSFOPMbEdMWXc9YuNVgUvJUoUcQYwEFdVlOw8S1oKk2BNmBOAla+dfF6ydsbhTAXYV6OeDO9Pc+RYnUuPIfKiNBbvrxhw9p/hfH20xlBbcCKfSNb+2CXq01a68Ql9FnVSrMPMLVjQhVGpTKqn7NJUkSqK0ItUOSeripwn/8vYef3tXnSNnHVBxJlVcBkKgcnmS6fGy4WAU5Lk3n9uF+QqjESjsuTaUDK4yG1GaDA85qwvruoiM2UdZe431d0FNPirvCnyQ4S9j8OrmwGFWKZlqwWDo0h0oVN/D9RVOd2B3ShtvCvqhTRbks0PyqrycwavMW1p/lahXlhsVnae7K3ftWk32fMwtKqydJ1JycFvQ69IiLBphc3BXgkqZHSN+d+WQVp64TkQn0vzRx1ucmfdBWXkipCytwYrmLl7zPBeqmsB4IaAXgM8bD6o9mnkKv2TvohlCKtLEYfNMyI+8qcuvvd+jHdupR8ZIQq2sbZjm78NAKihtwxLkJn8z1XebJaDypl9lTJbZzHR4Nr5BZ3IlT8TkYDdVOXLeaidGWXsNuNeCXVP+XqGFbcjIgJ6fnzS1U79WOpJ1LUm9JnGk00O6AzsmyTh2dJmbNwuQbXZURsujzkn5RjjvDVf9bop069oPMMLclaL9qjQpGo1VWWSvRFWS5FahrmjxEtBWjlQkSrHVSVI8OyrG8WM+8imf9/xNi1C7Vp4IhRQST3B+U/EF0vLluakiWzwvuHN0lVZhVZ9X9jmqZDeLFL62W4EHTsKPvaXHwRMef/JJq8VBkQrJUNveTZlSMHhZgJVfrJKxDSU7GmN1eQFuI5DGZDYhRUFWzqhamCzorJTu5rUpmXu2VpuXwBbng3wNm8sK40sJqbA7sTmplSlaG1p1jWGANqsYFM7dTznMzzscPqnYs0VQCxSeI7JRARQZxRKgVZZe8wY5/41d6M2uZe0C3LLSkylHgT6yxZ0sdbaqsnbx/VFwr2Vtlbkm5bOdNbi8An/7pTorYQ5uC3BXWu3tiNK5OW/Vye2yCp4vhO+q1q4yOBUHpZQnZDtkGLTWo3Xi0koVrR2S1GHMS7n9VX0+dl+dpa4CGYNWxFg9PlquunYAT1Wu5O+ynIGjKkmhvD5FGgtmC+6MuTPgC5EHmhXWPQ8HJdgRItvk4MJgz9/hhZwYKSFOBCqBJAWQ7NkGV1yhabUSnCu2+izXPWpDl1bTw1FiRI6U4DUVUFfrnNcCfU3AsOb752f9SikiqsAWa6SJskX1NjV/PrhVMZwm3+bDrAF3ZRe2qh7PnZN6wqe+HPDQ0zV0rr1l1nMpcnkyWm9STJNizecVaz7785J4xp4Vq7C6DXa1GaLagJsaiTKlL56kLo5OuPGKiDdc3+fPP+2BikBIjBCE2rFlDhlsZYW5y7dWAXnmg6tsQGa+a3HR0TUiVSzgtbHnxmQkaEwZm+jiXK3Nn+TnyVarlsAezWYW73EN7kaTjzAIBf0hrHaaaG+aickpnCsugpVJgRM7RKkiScqZJ+W9TNlhsQbQcD7AX5DJK8AoQF5kBSutT2JNEZMsRxeU/rfJgkxdMnouU0ZAnQM7zbR4JlFkgpJ28PuRk5L3f6rJbNez+11LO+hdCcodGy50g458RjEC+BdQJyWbFxKlWpsyupfRyEa6lTpxJfNnu/3J+kbK972hx31P+xyZkyBiQKGRDIXda6f8DLl7UqbNLbSqMslkMkVkz5knnt+ImaOhjClZ22SBZmXVEMLWl1elCrmEybGTy6YKiVZPn6jckGvPYtm/CWmq6XQTUt8wPQXOFbsW6HaW8dIOJ2cn6Q4kcWI3RxqZe1Lxb0eu2RqpWeilNSwuhcmeK/pbrgX8BbR3sUW3GWHuwi5UeiSwzOfoVfV2HmgWulumONJKE8+LCVPNH36oxT2P1Wxvm3Ss9pbSdu2Icv6KXHMTXig1X2XyKs7FyGWhZEcqzxUpMFo+Wy2jte1muV2YpppEOqjE4WUvjvjRt3X4pT/0CBNpG1G1JMlcFVkpeBotvipvLmSF3aQFuqpkPo0xNtucAd7kQWUuWbLfbzLg5sFokfHODAQ9YiebEbctf2/l6mdGzhumvAG1sRsuJKmmP9DsPx0zrIVs6A9xvvSYQ3tVsTIHG6c02lhNkyRko3bLQvzqzIoC7CNLyFo2H7XQ8otf3tlVFjcjyRwhqt3iemQmRw52R5qi27scFlndz2cte6fZzyQFg7tewp2PuHzsHrs1OTWn0N4Fe1d09wuVxIoKiguwV1ymtfRdLWzKByeNghuMyqsMR2vFUy2R2kqVHOhJ4lCrJ9z+sgF33DPgC48oaxti09GxcBhUyAcqAaCusmMF9OSJzkpdirQ+uE0GiexrC7TcNqwCXY9cd6vLz7MC85KCEdLMiorFmnNWyDZTVBYmKSSJoRcaLrso4bbrYtbPxDhRNE4Sp8RxgyS1+9E4yhCrbHu7Yh8ZMyJd1j5G2GpNYJBHy7IC+BGQVxh7hMmrLF4EmqNMXjB4FdAVn7uYba1KcDsZuD03ZrVn+NR9dQ6cC6w0EbYkVuTaW1CZIHU+a5+Xhh4B9Avok/yaGcqESlWikCdYxHmJn7X14lIqpE6R2iEOHfZsiHnDrT0e2ufRjrL0q7Z6PEKR7wMhybzxnMmNqVzfMrmTf5QRySJyJ8XiQmVBdq7FpSnZO5duJvPgZZaXz/Ewghnx1c9XaaVa5k61nbyWpnaV9YSHRx1PNHCOLwl8Ydi8LsZzFaBJEzvwJU4kIsnrb0vrSK8B+YUky8jSU5EtuUwpHRNznlRRFd1djCVQJcPnwM71t6zYgnLEQSkTOI4seyyVtJ3ympQ/+3SN93y0iRG5NKmyN6X2XuPPywuAu7xAFZC/AHuPVPJRAXc2lLO6x/vaKbS5VNGpREvriyupiVMXqTQ/9uY+h8+6vOdjDnFSglwjCIVE6XyQRAbuzO4wlYtrqhaitExuMqArIYr3LGUmW/IAU+Ruiq3hzstmTUYAeQBazL3PdXl+ur7KObPMTcHccWJIUpO5KHB2MSXwBmye6ePsnE4xcYoXJ7QaQ1ItiWKJjPIlVpJkvXT5LD2ZLafPy+JrWpBKIFQZ3LyABjdrWLwaYJo1INeFRJEV7V3IknyPmYolqGSM68UcnpV87K4GvZ5bDvSXijwt7+Reuyi194hEqd7Ia17nIP9qHG4KdFeADiV7mzLANFnTQQF0WUndZwGnlHamYbOR8Obb+nz23hqHz2XpVzu3l1QIBtV3KkoGR4mCwVTmeaqqXMkvfd6nK8qWNkN5nkyFtUWmz0URaJbSLlsrRlyn50N4lWC1NiTaypIwtruPRLElYqUEc8se9Vkf55lThkBGXLFhmU3rArp9n342ui3NBm1Kk0XbeXrAmAvhe+TuW8vgozq8BK/ImToHelF3UmHzEXDrikQZHdCuiiAzRVbkiZRpyebS1p6EseaOBxt86fGsWlCWvrcUjDTyFg22FZAXn1GIURa/QID51R7VIH6kwtCQT3ooGNxkW5FY3a1LmaIlqVCoVKOFIg4dXnV1xKtuHHDqMy6hzspCM4M6wSEUVm5ITSlTcoE8coUrEqrC5DLL3WshbEN6UZfyPEA3lXglBzv5+Sp1rbgguvIVz1Sm4lrmDmPoDKAXSdoDwfqZmEt3d7nmEhdHNfau9jp8dqHd+taXXjlPOKZYWm0RxeP0h+WFlAKEqhbIn38F8zd2YatwDXuv1eCV6f1FYkdUJEpuC4p8EHsF5FVwZz53ma3MUvEyQSrbqSO9hLsf8fj1942Rage8fNc2y97FODZRTcmbkfdeyBUuzOSjd/0LIJuqg7JGpoy4J+XsQKMFWpSOSpEAktYbF9ohSTSel/KzP9DhwGmHux+WaE9QzEYQglgrBhReBYVckXmVYSXDKSyTF+6PpNhHShaNxFaeiMq/59c4B3rB4FWwi+zu+PucrkKqlDdBFMPZNsz2NP1IcP2VATs2Tn92evtFq86rtv7JnFLqnb0B3/rXdwmW+xKjYX1T4QiJzu9uUdGVBuzogbUAF2ucFHMek68FdjE8vZKlzG24EZBLM6K5i10HqpskKT36dcbmSqWWxTNr8NSi5N1/1+T4GR/qWWApVKm9Ra69z0/uPF92luf5vqicl7VXa0SH5543pZOSp+uLQ1OUpZqqTNGmTN/LjM21Iolddm6K+LFv7XH0mMeJFQEizvSmxCCIkCOyqsxijlqISPu3FRaMRWycE3wGdCOyWqU8u0kmXyodO1XJWhLi2vko5/HAeedOSrtT3qaZlEv3dknEkNWuYam9kX/xq8feKTg85/zpHQrXFSwu+zx9cD1RErBlWnDr5R6bpyWeW+re5w0ALvBWqvPoCgbPvh4JMAWjwxtlCfIqsPM9YWQmS6rbapTgzisFq+n4JEvoWA889VLe//Ex/u7LDUxgQZ1XDApRFlU50oz2N14Q5NV6nBERufbOP88DNxc4a6byDyWLU9GeZXWhzus/Cl1eqVERCqk1qXCQg5TbXz7guaMu73qvQ+QnI3ek0S4RWe2MLpM/o2Avg8gckQZTANwIq+6NyI8suMz98fy6Zzio9vjmAB/dy+f5kZVjMG88dz3JpnWKW14UsHUdhPGQQ3N9umFWsrG61EJKSRRGbBvv0wgE0+MKiSSKbd7DWaOZi4txgTtMUH3T2V1aWeJHA8w186Wz11XdLcWo9payTMvLC4BbVfS2zDS3rNSefOFhn/d9psEwzabgi/ywm5gWNScjcmTt1NQLsPla9j6PC57v0mX6tioJ1tiFeoTFRZYar4A7d1akBbiR1hfXQpNqB9/V/MDrezzwpMcXHpeZO1K2amnjEGrbjlbMCqmAPJcohTcurNGgqkyex6m5J547J2R9mZT1KkKANNXakwsz+AgJmFIG5XkTIWxZt9Yuh09N0O4mBF7CmOsx4bsYDE6zFgLQ9A1OS6GUpFG3VYVqTW11tfqrWiR0nlRZK1PyElnWaG+B3YKuytYV8BdAF6UVWLB4DnCVrmHySn13cSQoJ6Yfwjv/eIyjZ3yMU2HvzPe2DQ1k24Kcz9wjoyGqr2HNMl/B9AsI8rUbBoxoTKrFV6Nj1kZqU4rsZiZThLIjFUS2nYl2kFHKRZsTfvGH2jzw0z7dYYayvI0GgUYRGmH3nyy6GCpgL5bvkrmtrZgz9iiTS0k2yLYSbOrylORJIFH8+vMZfG0ZA5SkCHb6baoNw0iztOoQxS5CuEyND2nWB7ZRZGJiGiEkJhlA3MH3HOqBoFEzBH6+P2QZ4JlMdFULgi7ISyPuSb7JVBXYa3bpKlaIKrBLeTLK3DnI0/MDzNxBUbn2tjNOkhR+7yNNHt8flJ53fmQ1J64wlXY0MxJcVplbVm/gigYvhuuM+IPV4obzCh1GL+CI7i4TK6YIMktNrrNA0+hsZ2gp1kiYvPJQWamiDddcEvMT397mf3xonCiV2L2pS7CnUmGHsmaoyxjdIGxKXltGdkQZfKoMvEaYTKeXjG5EZtzkq3SlVievOhw5XVUdUs0RVGRaTqAqYwdLfnaThlQrlDRs3jjJ9IxHFGucd7z1W2k06jz9zLN86UufZ2rcpVU3NGqaWqAJsqmrUpb1CrqSNq62W1VJa7R5tLK0F/pbjwSZ5fYbpgw2sw2PbJJnbXA5agWWSR1dFFEpmTURBylffNDnTz7SpD1wbQZHlDUnZTtambUsXJK1oxDWzvmorGrV9jRR/P/zjE5+nu8VF3KEvUeDzVyamIoe11rYpI8w9kgtm2uj0dohTTStQPPDb+nz6LM+d3xFQV3keqIQyymKUGefIqsadKsWYoYwSZblzN0UKSBrci61eOmoSFGyeSEzzChByMr5yM9PTqTWGixdPJnakc5pcePbVW68EXHRrpexe8/l9Ad9HMd1cFwXpRSeA2NNw1g9pVFLCbwU301RKgd3uZVEmkqEriyjVUlyAWCv3eZiVIevBXaVyXWFzUvNfSFwy6rulpa9pZOw/7jD//pwi8NLbrbvfe6aPB97Xyi4NKPypKIXz2v+KM7FhZa2HMmjiR0qK6Kp2nFUKvwyeSIrPzuS5cx2b8g3lRVaIoUiFRohFTLWXDyZ8i/f2uX4rMOhMwLjrBFZUpDoDGprNXkeXEpQOkOkXhNsyopuz/9LXUoSI22JwIhNmAE9XStRiqQOdoe/NKuPyn6vkgY/hjjRJKm9yQPXIJWL4/o4cYIz0ZLUaopNM5JdWw1T4zGtRkIjiIuNUIWwVyNJ7QZAInKKZI/QpUYrA8wLWYL53avXAL3yekSa6FEmz7T484M7q0GRpTTx/ITZtuCd723xsTvrGNexbWjCrbC3qGjvyryTkeDy/CNfKs9L6lSBLiqgrvzMeextzv9eNdFTbRMbYXIjECYfhSyzkopyaz/rqEiEcNCpIcHgSs3tLx/QDiU/81uKuVUBfoXJESCdC4LciEyuQMHmJkuAFWl8Y99vlbHJ9XlFwtg+zjUzUdaIuJy985R8lECUCOKsGUQK8JTBD+1OyHGS0OnFnF0wbN4m6HQETuAJAt+dbTXM53dtb7zGV4u0mgk1P6RVj/HdFAQMQodOz6M38EkTSVwtJrigNKl2vZQsPZq9vBCwq89lQiffH726b/oouK0NmDO36yREaD55f4MvPly3ulupQnOPsne+a/DovMERt6TC3PnrsipvVKqMEPaFLIELIH1EmkABpKoOL+VgmbaXeROEsPOxbSGSRmuBlBJtlE0GSYnIKg59x/Dq64e88SV9PvAZu0sZbgWJBuB8kJtCk2e6m6x9LathURlDFzo80+aWte33815NI6pBe1aZiBglhsoj1RDGgtVQsjwQhFkpiedCKzA0PGj1E3ZsGmcY8XnH9WZT08dZt3E3x5/78+MNP/ifuy6qvUZEZxlrJvhezKMHJKcWbMva3m2aHet9zi1M0hu4ZUtV5SKN7rBV+trF93LwVgFeBbfQFwwuC+Yuspi6SN7I86xB630nQvPxu2q8649bnF50bbYytwQzkIvsuo4O0qy+v7W2Zg5uMQLstQmdKnGfp0/WAP2Cnvh52ntUh+dZTZmPetOy7IvUFuha2FJSKTRaZBlOLKHEoWbrVMzP/GCHdl/yd/c0iNPsBFS21VwLcj+jTZPJErLgU+nMRhSU/riogJxRNs9dykzCkxkujHTyVE5ZnjFuR4ITqwk7N3W5ctsQIeHEvMvD+wN818ElZeeejZxdif/nH3/ozuM//6/fZvfo+fwjXTw35uiJAYePS+r1OkIZHnzG59Sci5SCy3bG3H7LgBt2afpDlzCWFeYeLXusgvtCTsmIJKk+XwDYZWCps69z1yTNfs763FImRbbSdVOOLUr+5KMNDhzxoZFZgqKa2DmfvUcKqKoMs5a1R6TKaI9q8bqC7vy/rS7Aawm9ZG29JuFTgrxsQKk0RWhRNBsUo47NaEGW0CrTuAZhNFor4lBzycUxP/BtXR5+xuP4Ql75RgXk9hMlmZ1YgtUydeGwZLIu1+b23ytp/uwGMFnzRJXN88hSUpEoZTiAEHZrSAG0koTvuXaZN9/a4YodEUoZTswqHnjWxpDaJOzcMc3mTWPEsbW/HYCpddfTatZ47pjPlx9eItaK2L4blBA4wLHjho8NEtpLLptmfHxXU84hKa1A63XnQF0LdC4IbDGit0tgC6FH5EkpUUpwj/reMY6TsNwV/M4HWtz1eJBVCeasbT1vhETKUfZem9DJe/2qYyGqk6vOryZ8vqjy+R8jGcwKnY/UpVABNRmgpe2G0dn4NFt8lb3WAp3tOJyzOOTxTuaTZ1+nfcPLrw751+/o8F/+WLLSr7C3EZVtNh0SLTJQl5LEVNjcZM6KETZQt/ZlxvQVgW2BXrJ5uVqMpg1yF8vOfReM1SUv2qN45fUtdmx0MakGUnauN+xcb+z2grFgZuseJtdfQ5r0S4Bfvnsbl1y8/o6DT97766++pvUz+4/3CRMLSEcZfAWBB+MNj+W2R82XjDUh8MrtBXP2ttbaWkYu60rWau78a5VZgmJEe+e/X5eAHnmdooQ9rDRJGQrDH360yXs/0qSburZlK3dMKoGlI7KaE1kNLi9UDmvOY+yq6VBoxoyhRTazcXSdfQGQF8Uc5fCdavPDeT55EWTmDRFVbzwDdgH86vdMBnx7aKNIE0PTjfnRt3SZW1L87gdaDCrJH8vmogB5qgVh4Zjk6XpRsLXKQW0ykOf+eBa/Kpm7KvnvNMVqIWQpU/ITJzP29l1Bs6EYb7rMLblEcZ26n+C6eQ+AYTBUnJofo3nO/Pq3vfXaO9L+aSDrRvqfv/MbzPXTeLHd3j2/Gn9LOEwYq0ErEDQDaNUE4w3JREvRrCk8T+A6eTd7ZcrrBbpvlBwtmio6cXJ2VqaoLRmtEMy+p/LvXwDcslpElYKrefqwx3993xgn5/0yFV8kdeyMQSkEgQRPmGzWYFZ7UgwRgmIGoiibHaq7SpQVhfnXlZnmMt8NI58pIyk30apMza1M6xpJJOX+e3UcRRHHVCzLkVwD5b+NBPmm0N5VqVXIKGMIPM26iZT7nnGZW5A2mCx+KPfAyeBnC8JGdFnu/1d+pnyM7sY3euOPpufLc1DOgXeUndPjuzbLbrB171GsiGLFMHIIIzsCt9GM8bzlDxze/9n7L7nqO0oGB/jWN9xOrRbw2Tvu47HlR5hqecX+764j8T1JPVB4nizuxOqSIqjYfmuaFNbWlBQsvdZBETqrIrRAFqIaYD4/uKVMUG7KU0c9fuLXJ3j6kI9xJdVCqtw1KW1B87zsPWIJSp5Xj49sTyLKRE/uGf89STzLBp8ffRYj3VirxUUx5dUU8wMpspomL6U1BpHbhln/ohAGYawu1zn4I8NVu2J+/2dW+dH/Knj6cBacyPxtidKAx0EjCbNtBQspIm0PaZ4oM8IOAlKi3HLSduSXLku5QmS+eO7xc96pQGtDFBu6fYnRkmEk8BxVyOTAS7niyqvYdektxNEQ+K1RgF920Tpq9TqnL2rRPuehHNduUSFsh4TnSgJP4Ht2t7KRKVQ5y1UzjSMg1xUW15U0vT5Pi49IEmFKvZ0HmBmwRaHFUxw3pWskf/DROk8865M6a4JKof6/9r48zI6ruvN3l6p6W7/e1VJr3xdLlmVbiyV5xTa2MWHHkC+ZJEwSlphJyEIghISQYTF8gYQMDBMCJPDNJI4NMQa8YDDedwtblhfJWizJWlpS791vqap77/xx7626Vf0keZdh5n7f6/devfe6X1f96tTvnPM751htbupYZqImU+Pdmb4nLW4Jrh0Lmjx3A98nQHgrwZrLuZOEiXL5uEtPVJLkoQ74iSIgJpVPiH5uqQqRlkYpCMJ0jkNKcKFwxvImPvCWSXzs7z1MxATwkGZVcnRFgSKSNnzuqAtdYFPjlEq9f5kyUZfk9zlWUmmQS6n/jKLp/y0lEAuFSqbtqAAAOf5JREFUMBSgJoMbxrpvJiXa+W42fVSndWHmoplohrVkvyYAL5V8FIrBrtkzS7sXz6ssODYUIZa6JJUx3a/Q94DAs8OcNL3I04qUWuQKE5iE61CSnNWmLriTkKF0wO1ETWiajudejJok+PYPyrj+9jKazDqSTraSMgAp9+YOxcjGvFvXWmbksdZaZ4DuXqLtU8slT2zDW4YIDfozlT1ws5hu4ieNpug+3W4iiGpLL3XYkCQgT8EuCIVu86bgxwrvvKiGZ/ZxfPuGCiYjaJC7X1QqA3IGBYrYcX59o8RMIiYyFVox43CyJGGEBOjKiLCENRBSgZoxKUICQihEsZZ2gAhIoWP3zNC+MBSIJMdEk++mzN8lVJjsU2YffPGLf4cVZ23cPRl5vXv2D53XqE2iUuYIPC1JDDyg4Olm47692cllXCZDnpLIStKXRCWOQCKYYk5tpVNX6aoCKbMAV6BMZKInidaECUxGBN/6URmf/WY7jgx7ehpV0hU27VAFo/X2KfR8eYd7Z2b9uMB3uTZpzb+TyWKWf1ueTdIOYfltGf5NHL5tH1tqlDzOdml1s8N5jc/UKE+OrydFKGk7Zeqcg9U2gTOXhxivETy1m+skUEbHmrt8KaIjOtCdaN3Lm+XiifNMSLo9R8wTzY7rwxu9T8Z4ACZqpK26EIDPY5y9uh1nru776tjws/88b+GGqRYcAMYmAjBeuLnA/TdXOrzVBV9bIds6zY7jS8GdNpdP2xc7hb+56pvEWjuWmrjJHeLwc2O5tcV3rXea4KEFhRtvLuFz/9yGgRGuIyY0rc6xIUEQ3WfRI9qxtOn4bNQkR1OoU6DhOnJ2Zx8vKkhy9y9kuQkzR4ZseThcHm6tfMaCE7SS1VLHiifWXFEd2oOJqjhWnEAhChWmdwh84r+OY2ic4v/cVAEKcUopqPO9JfR+BoXUU550tbu5UuoQrDYKEtqiS0MTtToxzdamO80plBHOCW0C5UpJrYeitpgZEEWGWBQfn9dfuXliopnZtcx9ctMN38UnPti9f9GsybXlQmNNHNMkVMg54Blga4BLeJ47SNXOeDegp2njy0yBcMZiy6RxjyuJTa23zEROXDEVCyR2HeT4/LereGx7YOoq3Zi3ozeh2rEMjAW3Vjs75zK9zwy8yllvd5xLxpITgFJqrKkzTOsFWHA3cpJRLdIcXaI2OdJCI2NBYTX3ON7rWXo1RddONBCr7RLFQOGBJzwMj9A0CZBow1uc2QqONU+gmhGSSfthlbadsMFBGKudIXdkqhrTOp1CKtQaAoeGgR2HyE3X3br3q7/56x/IfCue/5rPj8wDAcHg4PNgCOF7trFLOgpbi7A0yDmX8LlIJidYYKeaEZdPp7Fv4lrwJB4ujUXXERRruYljwRkRYL7E7kMcf/W1dtyxpQAEOcuduaXW252r46bl8xnKls5lcgByzmZGeTX12Geu6iSbxLGG2j14jvE2IMg6mhJIUvS2R0hGTgttvYkyJWOJKEs7npSYdD4oQJQWPOWiK4CCrCtceGYDn/7QGD75tSr2HPIB39hE26w7c5OONddAFgAiBXgmcsWIltgKoutKGXTlj1QAd/wJzizg7X+fRqeUAS2jVm2osGxeGWesngspFa77Rnb/TwH4ORveDMpY+PjD38fAwd26JQExfJVpcPue1Bbcme2eWGumEl22K3FNKYkNJ8r0MbWPrUNpqlFIFtzUgHvvUY6//noV1/+0hJCYMceEGkqSAhtGd8yJqbMkWqrZSgprM5bHdzBz0RPnPkNRbQwlOQGy1jMD5HyRA9QUqpIK/UnymUwxhE3bA3BDiVqJSCGJ0FZRpaFDKKqBbekKMyFEMAN0XRVU4ALvekMdQgKf/GoV+476qdM5ZdnTksHWpklzixUQEYBbJ5/oAcOe0nSFUyT6mrzATGvAVWLxUwOk97OQCm3VabjwvMvCOI6nfKspAJ85sxsg5Y/eGc1d/vzgkfN72pqa2lLA8yR8z1b56JHXmdk3iQhKOdRCJmBOJbIuoFPQE5LGvnWVhuXlxnJziX3HOD72lSq+/7MSQmomvx7HcgNOWBBZJ5I66fjspVtlL9n5mwPcKRnN5ECT1urBEyw33pKECRO0p6DNAz8Fdf6epCeONONDnHChldcS6Oc6Fq0SCw7CEMeAxwXec2kdnAEf/0oV+475OdQoaJPOAMUyltwCXRGCSBHEZt9zI//wlDk20oLcNNKkBILa/icpyBWIwRYB55rYrFpcwaXnz76z0tH/0cnxyZMDnNAK7r37Z+Nz+so7xo+IzWEzZLEMUCxIBFyi4AkEvoBn+DZz2xTn5Kypo+iCWTqAdrNsqQUnJI2BEyL0NiZxaITjE1+t4vs/LSG0hLklsPWOtdQk1Zs4LSCAJPPnAj0D+il0xAKRTAG+fpBL1b+IlbXWLYCM3H0C4NR6S0VAjSOnZbTm+ygBMkVHTlJLbtP5Spl6TAaiuRCEUOAQeOcb6ogF8Of/2IHDw8R0/1HplVMZmgKabreSanNMFNGyXkEIQuh2zL6VTRjdN6fERLgAQQHP6GykNEItQuBzIPAoJGJMNJUYr1d3PHz/7eMXXvSGkwMcxtI9PzD2oZsfIWsrBGectQwIfIlSIUYxiOH7sbbehppQOhXgSfzaAbi2lDIBNhKLmVKSzElANbgpU4g5wT/fWMb1txrLbb0w0hrkhJh5QyRtfcyQoyROSC1fNZ8FL8lSDdfc5ugJzPvJi0C5a5nzgM+AHw4FQd56Wz6eTfjYYghb6aO5ODWaEdspS8eejZbRXjMAQ1kgJDgU3nVpHTue47jmW1XEsJlNlXJymAqNBOjWKpgQiNXJEq0AjwlBbJxwTxF4hMCXKgnnRgTwJOAJXdggTHGNxzVPP/s0hvVr4ieGGiMfCkVny33bEuAbNr0B//St/xBv3HS6OnZgC3o79Rz7ajmE70VOY8t8tMNkHol+nlhlahQMCZj1YUsbv1hrLh2qYugKUwAjuO2+Aq69rYhmEoIwYIYDbKShCGu9+Qmsd1rl3yIcmI9AYCoHd197SWYbrZlMvj9K+oQkaflM1Y8bpTAOpu1OK42zSex2a8GlvtJIU2age3Vri65MWBHWulMOKQV8InHVpXU88oyHn9xf1C5fppDSzA+Em4uHYxFc65AaKEkImoohJAQNQuBJwKdEyynMjCGPEnixQj0miATgc4Fdzwc4beXZqhxAnLfxDa12b2uAA8A73rwZcdy4dve2p5d0lnaWOyqT8LhEFJuus5kqHWOtmUMxqNAAojKhIW6ISYPCsRYZS24ec4Awgh/dW8BH/6GKp5/z9amdUBPXeqfbCHV4t7XgmCpYaulQAq0pCqYCPe2nlx+E65wELxDcrpVGq+2OjBYJkN3XHf21texWh20dTkjtnNk0vil5k8bhtPcwVEUZWiCg27YRorByQYQv/dEY/owBN91dBJjQXCOtwDQPKXRuEqkld3eMseQJ0CWDIgwxoYgJRdNEv5gNsxIFKQAVx/CZxPPDBLzcO9kxfd21lVLhuPv4uADv7u1Xd939H1+pY+6Hfn7vU2XPY1BK4NyVk1g1H2hGLAFpSkUkKBFaxugLB9QqATMUIGMCGeX/Z0NZ7D0FCCe48e4C/uJ/GHB7DsdGWnbmghsG2HYiWravYF4K64JXtbTcblREGyCSGiWgJRV5wcZcHX+zpSNJksdxNN0TIX1OsjRFAoq5xcomd6lScCeUxUZXJE32hYQ2XlIxUKXH9BGpoJoCy+dFuObqMVAAP7qrYAyyQsK/AUNTnBUDiHJ7KdmpFGbSV2KwJGGQRNMYAEAosXrROM49rQEpGAhh2HzO+sHtux79ylsuf+dxXfrjAhwAeOkMxOEYHnjiGQwM1hHTIZy5eBilogQhXIfgmLG6VI/qA1F45jmGbXuYloA48TEltYx2+bwYS+fHQAQoobdn/m9jci24n9yVt9wMU/l3Sk1sKCrbPHMq0PPx7yngzjuYGb59/PuXzVncaAlylAVphCWx4i0iKtoaWyDDUI80wmJj4YpYvk6TE0Qa51OaM4koaa4AGsg0lFi5IMJnrx6DAvDjuwtmJzsxa/udhQb20vkRls2PkI4zSXcwZQRb93h4do+fZtzs8WVG0hhKdBdH8d4LJcLGDMSqirWblqNYrJ5wd54Q4HP6+5sBGh94z6Xzrxs4+HR5zpwm1p0eQvkSgRdBhQQDgxRSEYzWCP71lgqOjTHs2edh53MeKHMuTUqnWUEU5s6JsHpxiCs3NnHRmU34gYIS+j2EAIoS3HxvgI//YxVP7fF1ZUKCROefh3uvUclJqhR051pm5LBWg4G8k5nic0r2zwVvjoq0Stuf1Ml0seBETyyA3QbV2dYRBEpJuA2X3JNgai2nO8yKmjyjbtOWPQnsvQV3WrEvlQ0tOqn+UGHVggjXfHgcUgI331dAQkEVAQQQBBIXrmviyo1NrF4cYu5soc9IacOoesdRprDjOY49+zmOjTJ855YSRmsMQlEMHGNQkT6hH3q8iM9/t4SZnSWsPm3x5KKxwgfae2c3T7SbT3gYxkYOgPG2nnBy59bd2740Y+tzY5gMa2aAEzAwRPH924oYrTMIxTAwyBFKBqX0ZK/srzcjC5QAgYBHJDorMa7YXMdVlzZw3lkhClyXYt16v48//XIbnt7jG11yLgyYZC11P2+dntcx74BoMZWt1rFNNFNRlUrS8El0xZTXJYOmkv4oqfA+Sd3TdPJzmtq3IiytlafMKN3cAohkG2kpD9CFI/mCEfN93eeuUK3VYACWlSjne6pn+6ZnmyjpVh3SeW4DBqbulYgk4aZlEwAJCJ7c4+FPv9yG2+4PIKDHHG0+q4n3vLGBKzbV0VWW4NpyQUo9hdnOJNLGwJ7WEpGUODxIIEAwWie4/qcFHBmiOpdHOIZr7dixtwdf+uT7D61ZOff04ZHJYwvm9b80gCvVBODjud33b7z7gcfu+Pq/PewdnWxiYKAOFTM9KUBSqIzu2tFfW6cDSMANGQEyTm6+lOjpjvC5D0/gzRc38PAWH//ti1Vs38tND+O8M+mWn2Ur5H0KFIjOWnqkFbjTdH0CcmrbNjtgI1MBTnOgZiTVlFgwM0qd91n9SQr4ZFsLDUwCcCsnYK2BPgXYpmfkVG3PVJCnJ0M28pVExEi6nTGRkSnboV06lGseUx1FIR7F9r0cH/5iFY9s8XDlxU18/sPj6O2K4UndZSsWHEJ4EAbg0lbrm5VG4/R3IVSAEImmlJAEkELh4MEq9h7qQp1fFPXNPOuCjWvX3ldrxCgXj5tePTFFISTAk0/vRVBYdmDRfLL7g2/bsfSh7fvx7VsCTESevq7byhkDNpJw4bRpWdLzWgrjGIbm2q8QEoWDRzn+9B/asO8wxb/fWsD23QwIYOiHPQ8dhySJq9r7lJLYJjSZ9msO33YdzFbOZqIpykW1MnoU5yulrSJSW5GxGi+Qiic0wxo2V6uSdyzdm+mPpoAkJGi5NFTO8cxRGP1+lRZDIJcIIoanK2Wa7lM9zoRYl1wXKahYYemCGF/6yDj+/ScF/Ld31zCtW0CFFtxechOCmwG2Jk7uyHmzen9TtUUEAq4wGSrceF8Zuw/Mw9W/s2b3qlWLD4wP70e1a84J9+sJAa7PLIa+0g/2Llzd8Xv1ybl3PfSfYyCc6ei7pQuUgxAGRohR65mWy+aQSAVESk/cjQTV/FIJDadYW7nViyOcviTGs3tj7NnHUVN59LnAtt42TUJ0PBM9MTuM5JM6udGFZse6fDuTrcwDu0XIMOHfOU7+oldOfJXyapJMJ0sLkUkLzm1Ojinpe+TAbXm2TBI9ltNLkDTjKbUYSylTBgdivgtJPkeUTtMTENQbBI9u59i6nePxZzne0CVAOSBiAqH0NOYw8hHHHmLJdJtnZSNSbgcFt7+kBrqUAo3Qx6p5Pkrtc/DzX4z83o1337r3I//l3JPu1pMCfPnSWajVJoBi+VBH5wN3/9qmfeeKB47gkWeLAA0AxsApRUCBIlUIHN5rxeoSurdcXRCME4q68jVViYE53QLrz6jjU+8fx4rFMdYsjnFshOoYa8GixbGdGefSOCkkHxZ0brD3WSBnoihwrLn9My6Qcxb6uAAmJlSWw/rx3q5y9yd+j6V7OoiHvGPaIqtpoyyJpU4sfFY3nmhUjB6EJFEYExokWcuurAdt1E/EB26/28cnv1rB889z7DzA8an3j+Oc1Q3M6gDCSFvxMPYRhh6imEMYgLvWOx0BKcAYA2cxFCPwqMSTuwkee3YWLrn47LvXrttwqNGooVgsnxTg7KTvAPCZz3wWV1x55ZBXqIwThO8eGdqOwyM+JptF+JyizIA2rlDiCkWuUPAUClzPdrI3n2mrDkUQSkA2Qizun8Rf/N4w/uiqCcztE0AIVCqac97+cIBG04aMrHOZL2gw3alMajdp4pNMZ1AZ7TWjWUcyTfo4+mxX7+3QG0KJE20hGV04Mdvsa2k1PMm9bmokj3OCud2zkudw7o8b2iQtw50uBUvplsrSrtzjLCUzIixXwkBNEs52HPOA4UmKa/6lDQ8+EUD5FIOjDHdtCXB4gGHFwghdVYZavYh6o4B6s4BG00cz4ogijljo7lnCTKdQNilk7jkDjo1K3PkLH/MXnItFC+b96aGDe+7pn7nghUD35Bbcrt7eOSCs8+ENZxy7Yc/BZW/94SMDCDhBhSsUmELR9E/xuYLHYIawpuEyKYFCrC+3o5PAnBkN/NXvDuGdF9URUECEmgcyqrD5zCYu2dDAdT8rp+G0vISPONwbukIwSckjb8VbFQjkqIkxt/p5ykvc99s3upYe6UeT9+e3nXDlQsfpc1NRb2kHyXHv5OPZBFDC153GO/mwoTQmn0hiwn85C527JZTIcPRERGUupj95oIB7tgQQhAGMQhGKIyM+/vfNPpohwV+9r4GeKnCsEWC8XkAYMUiZ0hM7BpIzCc+LTZdcHdCkFIjjGN3TVqLas/KG+YuWPVwbH32hsH3hAF8wrw9KPbkXOP0Pp3U/xFb0j7352f0SnOlKmYADRU8h4Ao+16WRzITu7EEXUkcBOuZO4g/eMYy3bVJAWERdpg4GIoE5XQLnnxXi+jtKqbouQY/l4/rylsa7c3zb1Z4cz/Jh6j1yr7l/O3OeOSjOx7zJlAcvkKYYIE/Z7oAZcGSzKncSuBSFyJzqMO+EkoxjKk1BRMqxU82KNDoh93P2cMiY4M5HfewfNAfdXmGLFA1Bcf3dRSg2jve/2QOVJQyPBxBC/5O29zuntjJMmIyrfk0BqAmGY2Od8Iu9P5y5YO0fPvjE/n0bTp//ygNc/0OnYf/uu/Zdef7mbbufu/PN+w7tQz32EPgKPtPUpOgDAdeXFs7TmC+jOmM1cxrBWcsZzl9VxuRkAEJ0J1g9YjsCgQ5jVQo6hCWUiyoK15JTa72nZC2zVrwl1z7B5d4Fd15QlQVvHrYvxbs8+VKO2XYjLQkHV0inEk8RXrVSHhpLTlSqODTdaompzk+sOXLWPKEP+qFUwESD6SYpxBZ8+wD1QH0OpQh+8mgVPgXWLi7AY1Qbv2Q8Dkytr4Tv6aQhpRK+F8PjEiPjwNGJhejpu3DbwT2P7HvjhRte1L57UQAHgI6Oeah0zrpmycL9C37r8qGrrrt3EBNjJfgcKPtAqaBbbXFOwCkx/wCBxymKBYauKkVPO8HRIaBarqFYaELKEL5HjLpPAkJi/coIF66O8NOHjcA+IYhppQ5Dar0TkOeAnW3jnG5rZb1dK+7C1bXQ1o3MRFJapTJfDqDNj5Sy5DObTnhQWUGVcSpJ1tHUUZA0upKoDQ2NkUhPapemkCTCYnuwpNEWu6in8LOHfTz0hJcqPCkHWABKOdo8gk5forNIMTxEsHM/QWeVolQgpmjddhJTurlUoE8inwuwisChoRoe2b4Ip69cfO28xWuumRw7+KL35YsGeFvXHPzo5ptHC5Ul77vinIdm1uP65ut+FqDoUVRKBOUiReBRcEaSJAjnelupSNFW1jt9su7B435aUW9rLiWFlAQ9HRJ9nTLtdJoLTBMcL3IylZq05N7u663AnsNt+vpUMLeiJMd5x4sDee5xAngn9p28QICk2p6kJ4E0DXUyqkSlCwgINaA1szdhgS1TjYrtP04IAc1YcwAUGBhhGBxxk3EeCOUocYIql2jzFKqBBAXBxGQMSgliwRB4RAOcEs3BORCEBEIQBJ4HKRVu2VLBM/t67/ntq+a/76ldP6mt3/jGVx/gAHDl5Zdj/54Ha0K9Ixy77VpU/RBdbQRdVYZykcPjZnyz8ct06zeCUkEXTlCqxetxzBALfePSjL4zaVxtLRxgJ2mYrKgqO5EhFxo8Hg/PAzpHT9IkDlqb9Ba4zVr0F4Fikg8TkhTShpMT5LUqblw8bXiZAtuR16qUwkgdtk4iM9J8iBgTn2pRZKpRMeB2i5r1TSdqrPrTzTZTQhBQHXTgTJm/BTQjiUYjBiWAlAyxaQuhlHZ2Pc7QjLTcoVIKsGxeCZdcfFn4+H5S2/wSwP2SAQ4ApLwUVMqHZs3cfM7iA/cWp3cC3R0eKkXNscIYqDX0TvQ9goKvu9EG3MyhNwdLyjRx4N7bMF020UMSepIfGJVtXp9VDqZZTH0w3JbIU6i0Y8Gn6MBbALml0/lSLLYDyEwheYsTwlpqa0Tg0BRlfRYLeENLoNIxI6kK0TbQN03zlUzj5Ta7mfRTkVmaYk44O4ws2RlGx82d46EACAFEsUIzUqDM9JE11UT1hkAUS3AKjJcYmiGH53Xjks1n1Ltmz3qIEIqXul4ywGdN68D4xOQnPvjrF6rr/cMfGR/aXZjeI9HR1gRnAjuf9zE64cFjBB5D0g3L80zbN5rllAnnNKCqNZDOc0QW5LaQuHUDn3w8+zhZTMdfzVhyB6guaLN5+vRzGeC9wisxA5kUfkpP3P6FJPkOaUkbyejETcsJCShqQQ/YWByRRmUICkJMltOOKJQE1EyN0L0BdZdXSIJKUaFcUBhy6n3d3aWNGBBLDfAwkuCMGL9M11cONUPsOijgMYr2coyhEaCzZ0kj6Lzy70Vc/EvPL77kffjSTw0AbZWyfPrJhz+1fEnfF9ad0R4un38YS+cdREiOYMuzdQyORJBKJj1Vkm5Y3A6TUonDB6QcmVGFX2z38ODTpk2B6bwEmFpLx3onyRuSqgTz1KRlKZr7N43VTXh3Cyv+YqvkX846WWZTOQ8s185y7BbbpUMxVDoBwg0JSme7tsw0Se3L3BVWKgIRUaxfFmH1stDVESTnjeX6aX9BDfI4NuNVKEFvp8Ka5TWQYBxPHmpi6/4mGqQ7VKz7C7f//P5PeX5R4mWsl2zB7Zo/41jYP63j8/f/oiO8fUvw6cnGKH14eydGBxlWzJaglOiOWJ7K9FPhVN90t1mZZshM9c/AEMOhQdPzxKnfS+mJw72p1Xy7IM86nglNQQs+jpw1d57b1dJAkxO9+BJWPuljwUkcUBNMuWJMSfoQC25lToJUTy6tRNV0iiUJLyfQrqA0OhyaEWK5J4AGOYUUFP1dEaZ1ikyWSSpAmFssibbeQiESQBgreLGEHxNIqQvRl85meP+vTeCBp4fB+QxZbpv26SO13i8dHhsOT7bLTrZeNsBnL/0N/OjmW+u+f9YN8+a1/c0Pf3Yr9uwrYdkMikqJoegDRV+h6EsUfGlALhIrnrRaTjpa6aZfIADlFNI6L9CotT3vbJfYxNFMRqbklYQOuN3Uu8t8TgBs18HMl6u9outkv9NQE/te15InDr19zTqe5nMKWmdvHUxQnd3VVT36OSTRnaYsuKUEATXjTkzBA9W9uZMpyooiFtYRkJqLUAGpFCJJEEllqAkQUphxN0SHBZlEI5AYrzEcGylh0ewCjhwL0T9nnZo/d+kN9cZkff0573zZu/VlAxwANq6Zjc6+Gc9ueYx9aNl+9T+PDPyCTu9m6Grn6GgDqmWJUlGgGAgU/Ni0ftNtJ3gyctvWcwrsGqC48c4iZMS0et7ozCkxY0cca+2O/kt13C2oCm0RGkxw5cYGs5g7Pu5eDZTnVgtub5kAsfScpA6nfl1HNpLmQaa6Hgbk1EZeHZArAEmogyDl40Q7m4IoXQEktcGRkkBRCiH0tI+3nF/Hzx8uY89RH2ACSkmEiiGUBL4EQqHAYl04DCsrgAShsR5RwjmKQSc2rt8kVbDsQ4cmNj5b8Xe9IrvwFQF41/QV+NEdu8I3nb/hm/c9uKe0ftX0LzM5hP4eifY2gXIhTpoF+Z6AzwV8HjvgTuddUiowNE6w97AP3RLChp9I0h3WNs1Mm2c6BQsOuK1MoCW4Sc6aI8s4XCfpZRUWvwYr4dtWVgvjYJovqVt6twA5ARRRYCAJ6CHsf0/15GECEKk5szCNjagN6UrdI3xun0B3JcaeAaFl0FIglAwNSeALlVTFAzouHwmFMFYII01ZooigvWMWpsXdf3L2uo3fhNwmCFv1iuybVwTgAHDlBQtx6PCAeO+7r9y1Z+dj4wd33dLWWT6CcjEdLWQTOlZ3wLmZJW8mpXEeYzJU+PFdJTyxJ9AiF2u9KYFP4MzUsdU52f7eSfyb5hxMksp3s8DOzGNoGeomrV54LVbeerubjmPdUyWriW1DUxsLctvMkpiWElSXzKfOKLWV9dKEZHVkRQgzPdkOl1USUlKETY5V85p40wU1PHOggAkRAzSGlAx1yeAJ675LCAmEwroR+soTDIZYPr8DcxefM77yzDN3DQ0eEd09rwy4gZcZRcmvYrGIamHshytXnvEHm89dP9Te2cREOIBqZRht5ToKQYjAj+F5ETweJzSFsRiUxfBYjAMDFN+/s4TsfB2aWG+PpiBPZLE0ndrgAj4/7GkqRSEtK3ZOhLXXheVOEmCtX2vZqxB2NLaObCSREkEgZHqTkqTyVaEHPglTYmYlrfZeKgYhOKAo3n5eHf19TaccUSASCjVBUBdAIyaoxwQTIcFQg2KgIUAKo/CrPjace+HQmjPO+IO9+0d/6Bdeekiw1XrFLDgAdLTrEv7a5NB32/su4vc/Ta+59tZbez9w+XOY2cMQEQ5CFDgV4FyAsziZc8lpDEUEdh4IsG1voJVpZgwJIwQBMb29idIhQktRWKoBt5pvd3LCFJ0JHMudB3UrzLwuED11qRNsJ/n3WakrNHUx1YKJ6pXYSn2qLa3+3bYrFXQjeug2y1RQUEIhCNOUUjJEEcOKuSEWzYzw7D4BpSJAMSjJ0CAMtqVzwPRxacRAf+8EPvU+H/1zLz66dNnmPxci+u6yJbNe8f30igLcrlK5C0od+/abLt5EJ0eHPzc2MdrbVYn0MCseg/PYNO3UKkI7jmSsAXzvziKUYGb0ti5q8KgdO+Lyb6UVi25BrgF4pv4yw7Gzcb8XZJWPE5J7xdfUYqApy01CkRN8E/crW+uddtyGSbEjzeoSQJnaSyh7r5y/a7m3HlxFpQKVCkwKHVWRDJwSvPOCGu57vIiRJgOI7vQjCdAE0yFGABWuUPIUuoslKLbpaHvfGz5+cEh+e8Xc9ldlt76iFCVzMEgP7rnzoW/2dXV/9MDo0qGBwQAFP0Lgh/C9EB6PTN2ddjLBYzy0zcct95aQVuxwUEIT7p2faemCm1OjQWf6nrNsqwZ3skImiznF3E0Fi2rxkjoR1F8Lq09OvtlN/CSUxNyEJBACiIUO9cUxNY/1Tb9unzP9ONb0JHNTFMJY68s2NbF2ZQNUCEDFgIoAGUGKGE0hMREDkxHQV5W4fNOsIUbaP/rsY7d/c8Xcyqu2m14VC27XuRdchr/50vXf4WxhCJCvK2xpW7WkBs5sMkElERQJhcd3+jg2xIECTeiJHj2idCsIquCxrOW2NCXRnOesd8b6tqoicAHhvH2KD3eidHzeyiuVxMxf8MollU72adLicXo/9R9UDk1JZBHW/SNEl6CZjCdjujusMkN5NMVzS9UYGNVOpo2mxBFDd2eM1YtC3PmQQCiFtuISANEzHwQIZs7w8J5LZ45fcs70D1eKw/++4PTferGwelHrVbPgdlVKsQxV+VoazPzdwcbK5n/cXkWtwRAEIQA76FXg2BDFv99ehOBpDSYxVfraetupxMaSW6Az3bKQM5JYcWvJMzea0he3ZjYjcsJUa338ND1Jt5/kKnDcM8oJTx6XLpHs75jqDJvYNVHJFckt1nB/kVSAFASx1LJUIYi23oIgjgliQREJgkhQRLFr1fVrsdSWXAhrwZkBuc5s0pDiqovq6O7WTmayc8MQXUGMd2+o423n9jdWLp32u3P6g2sbsXxZafgXsl5VCw4Af/KB9+DY4KAoFAr3HT48MH7nHdfi2p9vDXqrEldsGEexNAJKBGLBsfcwN5Up2kOkhMCjCgFTCag95t6nltuO36ZMN+WxB9paLJl0S033e7aoYCrArLLCcncbhtP32by6WzP5UlcSjky+S1an477Rxuen1oC6J4L+wi5VEcoqOJEWLxAdq9b5BJPuZ/p3KSW1sCpx1pkOwwpjxXkqoYUC5vXpAAIRAkQKlEolXLaBoFKMsGrJikb/tOm/sWVX5w27D06ID/7X33m14ffqAxwAytUuBByHFi6Yv+ram/rPPXKM/Ysnd5d+8ohAqGJctm4MDz/tIYyoY05N53+irbdvQO054NZUxSmLY9kJZgSmmkWqxMmRIoWgbUiUZDORAtQR5+nneVAj3a7IcShFC21JfpGWHzrOe45DY9zEVSJPsC84X1A5lluPC7HSA52IEab4QFIYcZUFevYPU6LAhIJkIulQZaNYgSexdlmMek3h4nVjqDUJ2vwOXHXJnFrf9K7f/uA1v/P9P//N76m3vf03XwvovTYAL3oEAMTVf/t/Dv/jX+6+7tH7FvIHHp/4n1/7nmhfOrsXm097Dt+7kyJu+lgws4lGpHBorARGdGd/jwIez4Lb0hKWhArTCiLG0vYONssnhEQE6AQHzMjopDUx9CgPmq3HnAJ258kUYDs6bpXZpBw7nF3uCZTn1CSPYLh/KPu5NBRqZyDZk1G/KGF6axulYGRoiUrfoiNQprRSUhtDT9PqtsMIAUBNiJBzrSxkVOLwsEQYUczqJ3j7eREeebKKTcuAZfNCbD/UPrpt/6IPXvbWjutG9v0TOua8/7WAHZB869doPfTz7+FdV/42/scNHdtK5Z6D61fOOe/clUOlw8PD+PGD3eAo4O+uHsZ5a2q4c2sFMg7QGSiUfGWmLBugc13QbAubPaaHElmNMWfU3OtyOc40ZZFSIdaF+3pKrjTJjwRHJJP0ccvU3Kqf9D3Z7ckN7nNrId25mdmkk43sJFEe53VXv05z29NYv0o+n+1fiGQCsoIGdjOiaIZ6FLbl39L2E3faQySnErGPiRFuWauvrXapGGOi0cDH/1cF/3lfFzYsDSDjAFt2UwyPz8XmdecMnreu748uvhT/26vWcOnl73stIffaWHB3rVyreVfUGP0OIT4fGuCf/4PPNHpHBgUuON1Dd2U6Fs46iEUzQmzfA5Q8iaKnUPCytIQywLMW3EzdYpRkwoOMkSSa4cUEQgKTDYEw0tJNpZw4MIVucmOzfyRLFlRrI+yUhNnHTr78BIuc4HmGWydZ1/S19CrhTGOGnRZt1JmmqMT246YxQxgRRDHBZIMgMhP3rOVm1Ew7Yy0cb9sy2QkzKmXS/Iph90GOrTs6USlV8fMHKc5ePo6//E2K/fV1R1ecedHHwjD6DiGdrzXUAJwCgNvlFdoxOj7+rULXFeTCTZ2f88XtvXOnNcDg4/kBH+N1Dx1FhbaCQilAUqCaZCspSXuvGEvOaWqxk3tzEgAMnkewc0ChVtfzdjMJI3OwbSW6wc+JMuLpy7kyMw0OixLSmoA7kY406uGSGZX7a9lnU04Qa/mp6TViGulwMyQMIGCU4dl9DGM1/RlrBDgDPE7SK5qtpGdIUvySEgipEAkCbqIrSgFjk0WUCzX09ClMDlM88xzH7P5+bNq08eilfed/HFDf4h2nBtzAKQQ4ALS3tWFkdPKb775yXbxohvfloYP3dnLvKH72oI/BoSIWd0t0VggCXwM7oZ+mtTGjhocn9ITqvhsehc8JfI/A94CCr1AKFLramxiKxnHTvW0oFyjKnkTBsy6mEWgh4+dmVoLjhNMYICDHt3Nc/HgrEwFxLXZeXpD7Hsez/pZ/205RHhcI/BiFIEKlWMcPdnh44EkPXW0UxYDC9yh8j8H3jGXmSC5VmdNLEUiqIGyOXxGQhkIz1A7mnOk1nL+6hhvvaINf7MPsRZuHK71r/owQ8q+Mv3pJnBeyTinAAaCjvQwh4u9u3njW0I4nnl841qh84Yf3/sLrKxHM7ALa2zwwStCMBKJIq+Jsitl1MD1GNcC5PnCBB13oHChUihKd1RDz+yfx3upR3LNN4tBIJ6aBmvlC6Who1/FyHT3imGsbONRFBsop+CUmZJg6licFObL0g7YAd/Iekn5Hy6vdnGpiwam23L4nUAhCtFdqODY+gX+7uw+DA8CiPoH2skS5oCcaa3Wg7vZC7C9CmqxSSoGa9L5UBGFE0AgJOOWoNRiKQRVXnH0EXdNWRSrs+Oi8BWfuUij9mPFTDq9TD3AAYIzL0aFHf7h6/Xr/tnsO1950QdfXDu7aSuZOE3TWNIpGKLFzP4EQCiTj+TvTE5h1Lil8DwgMuMsFiUopRlspAmMxzlgUY/WCUey7v4pJj6PACDw7rAnp704NqqM4dL6zmxiaMu3MAj1TN5lW3eQ16VOstm126XQHyC+3XbJ7FtnRiJQqcC7gezFKhQa2bVV4+tkiOisE4zXdco+YQVH2BKImuWYdWkb0tBFCiOEuOtQaxsCuAzHCEOjvISiVuuT6tWvV9MVLr95ycPW/PLV3X7jxjJWnGlYAXicAB4D2rrNw14Pbw66Oud89fSnuWD0neldv5dB/L/KncesjPkYmKygHFFJK08HJATlJnUpuoiy+p1DwFQqB1JVEQQzOBQIPCLiAkgKR5BBOkS4wFXyZRkBmqRzflkonStIBrI6jZrNA+ZWjJzYSkvnbDnIz3bVMpEMqk16H0zLCrMThpBKcxYiFQhgThAKoRwTFUJkSMmkmUsjMiBXJ7Ajt9P+VChCSoLMaoa1jArfcp7CxOA8hm/5XbR0Lruspz9nf23kwrHS+PsANvAap+hezzlu/FGevmlNf3j+8Y9vB3/r8uevbP/18bZF4em8bZvZQdFSBRqRnmCuXjzMCxqiJohiAc8D3JAJfjx73PQGPCegmkjpDp6s/0zSPvuVGk5Bs6C4JoVkRkwWzdPsCWmBb0LUmKoS0OKFoq34u5gMJmI3jl+i4NfBk0pzH/v50TLpuZqnQlARhDDQj6GhSpCtsoliZ0Kkyv88kgkhaQFIMJIbHY+w7BKxZSJrvuKznmKzM+fS7rzr78zf8dHiHX15Yfz2BG3gdWXB3rd/8a2gc+boIeq/+64suPMq7qvf/iRfdHzy4bQDPPFdEbwdHLNL2x4nlYWkJG+cyaVXhcwnPlMcRZoYnkXQmpFu3aZNE7jyeRDhlgOtaSmWzPcY7zTaYTz5mFsk8SkJ8+TYXTgG1K41NepzA4frm6qC7RbktH0jymi1yUEKgIYFQEF0qFuuoiBdLCK6jJFIAgulGPYpblaZCLCg6Kk1MNCdxYHAm5s5fcWe57dG38EZJ/vE1z4gvf+yqUw2blut1CXAAKEz7AI4OjqO/T3yi9w3n0+cPTD/nhntvpKuW0HMgh/jWPQrtBYZqWfNu5jSJT0RXXANdjx7XkwMiJdAUWsxlq4Go7XLqyG5tCNI2n7eUw149rGGmROf5YHpt2+aWRBnMO1YdRhsyhf7krHWmQT9J/75Utn2DdTR1EyQgpWuMEfAE6KkoyqO6e28slMlkwtwUYqHBrU9MBSGInhPPgUIgUS5M4pGnORTriTedWbq/Z86Vcv7cJY8C72r09rw6Ou5Xar1uAQ4Avd1t9uHHf3rbLXjrJRe2FfnYPx06+uy779t9kFZEjPYKQyGgqDX0JRYgoEzB47o1AWcqAXfgxXhqF8W2nQUQzhIRV6JtyWVHrbYF0MAWRsciFJLhtdJYfj05IbWmSiqYqdgwEMUUC+5kMmlSOG2nounH1rmV0mYbofUkpgWEoGaSNgzgY4rYWNxY6Mr3MOI4bXEdSxbVsXVXB0KlqU1sMrvCUBMASdZ3vCYQRQS9HRG6u5ootc+WxY7l15c7235/8Mix8XVnrTvV8HhB63UNcHddfMllmBzdPV6qFj685YnZO9ectmXloq7Jt/YUd2D/MMX+5330tHG0lZjWrFjLbUblUaoQ+DEODxIcOlwCL1AUMiIu3WLO8wh8TpJUPzUEWAiFplKQkX5shZ46OUTSnspQSeRBSid5lAM3EnC7fVvS7gDMZiKppihSEqhIt2wII51iB0yxByeA0n1MbBw8ZAy+xxDHGuCz+oBZXSEe3y4RKw6htNWOTccpEWuAl4tAV3sDj+2s4cndHubNW4RpM8gNb5u/YVtTLfwHgsnx81fOO9VweMHrlwbgAFBuXwAAxw4fOvDJT179nrnjQ0+hTIK3/uvNW7Hr0CRKvKz7kAcKpYJAMZC6YY0CKJEII4mte3xEPECRAQUzjcJPIi/ESRBZ6qOHM0Wx1I5ZHKNpHN1kqGsSVtFWPIluOE5hWmSATFgwA2xiGsMzZfTu+upjO7ACBPUmUGsSRJE+iezAO63qkyCE6s/HFGGkwR3GHgqhh1ULQtz8SAwhOWzvlEYIgOgrXiwUfE9gevcYSoMBFnSsx/wlS26YvWT5Hw2PTuydPav3VEPgRa9fKoDbNX3GTKj4yN6ejmV/Bhl998Jzl/1hFO85Lxx9DtXSODqrAl3VOkYmGaJGAI9LEEIw2ZD40QNVRPAwzVN65IqnEHgEBU8DO/Bths8mjCg8DlBK4fEQB4YUJms6ds7tPCKWUhAqFSQhengp1QIvRR3lHloA26EmOgtpR3rIpJejxyTGOcXOAwEGh7n2NcyJ6EsbDaIAkaCUglGmu0d5HoLQhywGuGJDDV+5MQJQgM+BagloColj4zr8qtDAnP5uzJizCW9fsvCuZw91/sNpK+ZuPToS7Z0/e+apPuwvaf1SAhwACJ8GADuVUjvPPgPbjgzQGbOnn/a/Joe3L6qNPMIODE/gpgc6cOZ8H5VibNLoArWogKLHUPZNnNzXGc/AJygYQPs+Q+BRFAKCUgCUigp9XSEoH8ZdzwQYGC2jpyxRlIDyTLds02NESJJQD2k6uSYxamPorW5kynQ3ZoBurLfPTZgziNDZ1kA81MRdT3UiEAX0dlCUChRxoEvGEt2LKTGj5mrgeRJBw0ezWIDPmvCoHhMTcGDWNI7TFo/jxgcJ4mYFa89eLc45e9nOjs74/YuXn3toI7DjRZfevc7WLy3A7TIHYEd9cmiHlPKNQ8f8mcXiyuvvuvemaqNRL8dxE0ISlPwY3/lZgCMjJXQVgLZAoeQDJZ+gGGhthrbeDL4BdzEAKiWJjkqMvq4GisU6OjpCPHWgCJ+TJOOYNPw0nFtSzZklMbpzaRPqxsoj61S647ntSA/OpQanH6NSCFEpTWBof4jnjnaigyp4LIZUzLbxge2hbZtjggCUMnDGwaiPQlBET7WG9140hu/c3K4b9iqC2X09uHhz7+S6NZeMcSXeOW/+7AOM0b2/7MC265ce4HYVy11QSu0tVbr3Qw2ftnTZ5Rv+ZD7/xuTIrtgXW7vq8cG23Yd9MMXRUxKoFICCT1AoUJQKDMUCg8cpODc8nAOBr1AMdKq/EISYO72Bi9YADz8jMRl6KHCZxIm5Oy5bwrQ9UyDCWnOVxFEsLeEs26SIOI4np1os5XlaLCVkhHt+QXHoMIXfC0w2dLdej1OjGNSyVh0V0SBnBPC4BCU+CCRmeEUsmV5HbyXCjBkzxzdtXDq0Ys0yvkiq3+uaNv+B/p7qqJCQnP1qgBt4nWUyX+4yRQbyyJHG8LRps2/t6mxbsuXemxcuOP03PvOfj1365NMH5j+2ck61sXxuGY1YgDOFok/QVmLobudoK5lCCQ5TQGFS/oFAR6WJoyMxfnxfgOE6RQxTOCGdbKZJ8uiUtkoKK2yG0IqkmAlN6uINMxAgyToaVSDVaXSP6Y67laLCmzbV0d7VwNAkRTMyRRtCIo4lYpO4maxJDI4KjE4oTNQJGk0CSho4PNyF8cbMxjsu7n7s+3+/7MlP/vF7P/PNf7lxoV+oLunvm30rl81hQsivFLiBXyEL7q6+6f2ALrmsHTy0B4x7X4gF/8JbLziH9fd2fk3JxpKb7tmxuZMOszgOMa2boFqewN4BBoICKkUdZ9YzZBR8LlAMGth7UGFwtA0UDLWQoMQISp7KZuINPmzTdykAAgmPa72I5ca+r1DwJRhT2QiLo2hkVMHnMQqBgFIeetpizOqu4ZnnKmjEOgxpQ5lhLFEsEChax+4DTYRd7ejuZBBow7wFVTHSPP2ecrWyI6JHP1QqDAqvXMR3vv23au6c+bVTfbxezfUrCXB39c+YD6T4ifcdHPx9zv3OdWef8dl777nDf+ixfeKMFfzMicg/6+5t45hebaDSK/DQdg+LZnD0dQHlksD+oxH+/vudODbWhoU9CuANjE14iCUx/Jkk2UTOCMZrCo0ICLimJp5nQ4uA7wElQ30CT6LeZBib5AAkOFUm+6j7k3DexOGhGIy0oVrycfXbavjsvzUw3ihBKoliQDF/ZgP3PyHQVvCxahkQB9PQqHc82t83sYX4c1jPvAvDRZ1dfwHZHCZsmtkVf3iqD81rsn7lAZ5fc/q7AWAYwAcBYGLgJjBGzts3UL90MsY720vxUt8bxg0P78HyOQQ+b4DIOh7fLbBtZxkLOhnWLwfWrBzBF68vIqxVUSlqR3W8JhF4QE8Hx4xpDdzxBMAVhYJC4EkztkMP42orRejuaACkjkef7UBAPczoBXxfYGyCQ0oPfV2TODpex9/9RzfWL+zEhpUhls86hMXTR7H1KYZGyFAsBjh9aQxSWYXpXZ2YOzvYTrr49SPj5Z8ckequ33/7Rad6l5/S9f8cwPOr0ncFANw1MjJ815UzcTeUWHjoyBHZ2XZMzprdM79jesfHBuu7ILwIc3rGUaWTWDqL4vzT6th3dBLf+EEZHRWO1UsjPLk3xOBQCTN6GM49s45y1zi+8Z8zDNfXXJwzhXJRor2tif7eEXz9hxFue6QdF66QmDM9xp6jDTy5q4S1iymWzw/xjZ94uO2BAH4oMK2DYeXSmXjLBV1YMruCM1bMRW1i9PNBYf+eN1+2mRZLfbQQeLuWAre2t3ec6l37ulj/zwPcrg5dN3irff7kjgFwz+8YGRq4/1iTQjER/fpb2z/SUyWXLJwp0dk/hIvPvhtP7IxQLlWxYkEN45HC2LiHzkoIj4+jrTCBOTMGcfhoFUQptJUAnwm0l+uolibw9N4xHB2lmKhNYmAQUGAYqvnYP+hj/TKGp/YHeH6wHx/5/U1YMSvA4tkMfV3hbW29R77c21321q5djd7eGXcBzRFC+k71Lnxdrv8P8OOs05b0AcAIgBsBYNdzhwDgGUZlX3tZynJxAsXC01g44wgmJ31wHkGIWvTWyzd8an7fyJU7jvRHxRLH566ewC33d2CiTjGri2PFcoX+aTVM1oFH9jZxxbk+1q2OcWyox+vsq/4IAz//lO95nu9RHBry0dnWiTeeuwq9HQV0thFaDMhAO7Bn8cr+U72LfinWr1ZM6BSvX2x5CADpC8j+9jufGFclFuCKTYP4wV1VPD/E0ddGsXaZRHdnHYePefjBvQJvWh+A8jFs3TmNnLmif1RKNXDOxg2n+l/5lVn/F9Edg7kWVBWmAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE5OjEzOjMxKzAwOjAwWzumkwAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxOToxMzozMSswMDowMCpmHi8AAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 61028071
    {'hecke_orbit_code': 67553994477666997, 'n': 1, 'trace_an': 5}
  • id: 61028072
    {'hecke_orbit_code': 67553994477666997, 'n': 2, 'trace_an': 1}
  • id: 61028073
    {'hecke_orbit_code': 67553994477666997, 'n': 3, 'trace_an': 0}
  • id: 61028074
    {'hecke_orbit_code': 67553994477666997, 'n': 4, 'trace_an': 21}
  • id: 61028075
    {'hecke_orbit_code': 67553994477666997, 'n': 5, 'trace_an': -21}
  • id: 61028076
    {'hecke_orbit_code': 67553994477666997, 'n': 6, 'trace_an': 0}
  • id: 61028077
    {'hecke_orbit_code': 67553994477666997, 'n': 7, 'trace_an': 35}
  • id: 61028078
    {'hecke_orbit_code': 67553994477666997, 'n': 8, 'trace_an': 42}
  • id: 61028079
    {'hecke_orbit_code': 67553994477666997, 'n': 9, 'trace_an': 0}
  • id: 61028080
    {'hecke_orbit_code': 67553994477666997, 'n': 10, 'trace_an': -23}
  • id: 61028081
    {'hecke_orbit_code': 67553994477666997, 'n': 11, 'trace_an': -55}
  • id: 61028082
    {'hecke_orbit_code': 67553994477666997, 'n': 12, 'trace_an': 0}
  • id: 61028083
    {'hecke_orbit_code': 67553994477666997, 'n': 13, 'trace_an': 101}
  • id: 61028084
    {'hecke_orbit_code': 67553994477666997, 'n': 14, 'trace_an': 7}
  • id: 61028085
    {'hecke_orbit_code': 67553994477666997, 'n': 15, 'trace_an': 0}
  • id: 61028086
    {'hecke_orbit_code': 67553994477666997, 'n': 16, 'trace_an': -7}
  • id: 61028087
    {'hecke_orbit_code': 67553994477666997, 'n': 17, 'trace_an': 20}
  • id: 61028088
    {'hecke_orbit_code': 67553994477666997, 'n': 18, 'trace_an': 0}
  • id: 61028089
    {'hecke_orbit_code': 67553994477666997, 'n': 19, 'trace_an': 237}
  • id: 61028090
    {'hecke_orbit_code': 67553994477666997, 'n': 20, 'trace_an': -85}
  • id: 61028091
    {'hecke_orbit_code': 67553994477666997, 'n': 21, 'trace_an': 0}
  • id: 61028092
    {'hecke_orbit_code': 67553994477666997, 'n': 22, 'trace_an': -11}
  • id: 61028093
    {'hecke_orbit_code': 67553994477666997, 'n': 23, 'trace_an': 80}
  • id: 61028094
    {'hecke_orbit_code': 67553994477666997, 'n': 24, 'trace_an': 0}
  • id: 61028095
    {'hecke_orbit_code': 67553994477666997, 'n': 25, 'trace_an': 486}
  • id: 61028096
    {'hecke_orbit_code': 67553994477666997, 'n': 26, 'trace_an': -165}
  • id: 61028097
    {'hecke_orbit_code': 67553994477666997, 'n': 27, 'trace_an': 0}
  • id: 61028098
    {'hecke_orbit_code': 67553994477666997, 'n': 28, 'trace_an': 147}
  • id: 61028099
    {'hecke_orbit_code': 67553994477666997, 'n': 29, 'trace_an': 11}
  • id: 61028100
    {'hecke_orbit_code': 67553994477666997, 'n': 30, 'trace_an': 0}
  • id: 61028101
    {'hecke_orbit_code': 67553994477666997, 'n': 31, 'trace_an': 316}
  • id: 61028102
    {'hecke_orbit_code': 67553994477666997, 'n': 32, 'trace_an': -453}
  • id: 61028103
    {'hecke_orbit_code': 67553994477666997, 'n': 33, 'trace_an': 0}
  • id: 61028104
    {'hecke_orbit_code': 67553994477666997, 'n': 34, 'trace_an': 936}
  • id: 61028105
    {'hecke_orbit_code': 67553994477666997, 'n': 35, 'trace_an': -147}
  • id: 61028106
    {'hecke_orbit_code': 67553994477666997, 'n': 36, 'trace_an': 0}
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  • id: 61028110
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  • id: 61028113
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  • id: 61028116
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  • id: 61028119
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  • id: 61028120
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  • id: 61028121
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  • id: 61028122
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  • id: 61028123
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  • id: 61028124
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  • id: 61028125
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  • id: 61028126
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  • id: 61028127
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  • id: 61028128
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  • id: 61028129
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  • id: 61028130
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  • id: 61028131
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  • id: 61028132
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  • id: 61028134
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  • id: 61028135
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  • id: 61028136
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  • id: 61028137
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  • id: 61028138
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  • id: 61028139
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  • id: 61028140
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  • id: 61028141
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  • id: 61028142
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  • id: 61028143
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  • id: 61028144
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  • id: 61028146
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  • id: 61028149
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  • id: 61028150
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  • id: 61028151
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  • id: 61028152
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  • id: 61028153
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  • id: 61028154
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  • id: 61028155
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  • id: 61028156
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  • id: 61028158
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  • id: 61028159
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  • id: 61028161
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  • id: 61028162
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  • id: 61028163
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  • id: 61028164
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  • id: 61028165
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  • id: 61028166
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  • id: 61028167
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  • id: 61028168
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  • id: 61028169
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  • id: 61028170
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  • id: 61028171
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  • id: 61028172
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  • id: 61028173
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  • id: 61028174
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  • id: 61028175
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  • id: 61028176
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  • id: 61028177
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  • id: 61028178
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  • id: 61028179
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  • id: 61028180
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  • id: 61028181
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  • id: 61028182
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  • id: 61028183
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  • id: 61028184
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  • id: 61028185
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  • id: 61028186
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  • id: 61028187
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  • id: 61028188
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  • id: 61028189
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  • id: 61028190
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  • id: 61028191
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  • id: 61028192
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  • id: 61028193
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  • id: 61028194
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  • id: 61028195
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  • id: 61028196
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  • id: 61028197
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  • id: 61028198
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  • id: 61028199
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  • id: 61028200
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  • id: 61028201
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  • id: 61028202
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  • id: 61028203
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  • id: 61028204
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  • id: 61028205
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  • id: 61028206
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  • id: 61028207
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  • id: 61028208
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  • id: 61028209
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  • id: 61028210
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  • id: 61028211
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  • id: 61028212
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  • id: 61028213
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  • id: 61028214
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  • id: 61028215
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  • id: 61028216
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  • id: 61028217
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  • id: 61028218
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  • id: 61028219
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  • id: 61028220
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  • id: 61028221
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  • id: 61028222
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  • id: 61028223
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  • id: 61028224
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  • id: 61028225
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  • id: 61028226
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  • id: 61028227
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  • id: 61028228
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  • id: 61028229
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  • id: 61028230
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  • id: 61028231
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  • id: 61028232
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  • id: 61028233
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  • id: 61028234
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  • id: 61028235
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  • id: 61028236
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  • id: 61028237
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  • id: 61028238
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  • id: 61028239
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  • id: 61028240
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  • id: 61028241
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  • id: 61028242
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  • id: 61028243
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  • id: 61028244
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  • id: 61028245
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  • id: 61028246
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  • id: 61028247
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  • id: 61028248
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  • id: 61028249
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  • id: 61028250
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  • id: 61028251
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  • id: 61028252
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  • id: 61028253
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  • id: 61028254
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  • id: 61028255
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  • id: 61028256
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  • id: 61028257
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  • id: 61028258
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  • id: 61028259
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  • id: 61028260
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  • id: 61028261
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  • id: 61028262
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  • id: 61028263
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  • id: 61028264
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  • id: 61028265
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  • id: 61028266
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  • id: 61028267
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  • id: 61028268
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  • id: 61028269
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  • id: 61028270
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  • id: 61028271
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  • id: 61028272
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  • id: 61028273
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  • id: 61028274
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  • id: 61028275
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  • id: 61028276
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  • id: 61028277
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  • id: 61028278
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  • id: 61028279
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  • id: 61028280
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  • id: 61028281
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  • id: 61028282
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  • id: 61028283
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  • id: 61028284
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  • id: 61028285
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  • id: 61028286
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  • id: 61028287
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  • id: 61028288
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  • id: 61028289
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  • id: 61028290
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  • id: 61028291
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  • id: 61028292
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  • id: 61028293
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  • id: 61028294
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  • id: 61028295
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  • id: 61028296
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  • id: 61028297
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  • id: 61028298
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  • id: 61028299
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  • id: 61028300
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  • id: 61028301
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  • id: 61028302
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  • id: 61028303
    {'hecke_orbit_code': 67553994477666997, 'n': 829, 'trace_an': -40622}
  • id: 61028304
    {'hecke_orbit_code': 67553994477666997, 'n': 839, 'trace_an': 33011}
  • id: 61028305
    {'hecke_orbit_code': 67553994477666997, 'n': 841, 'trace_an': 4570}
  • id: 61028306
    {'hecke_orbit_code': 67553994477666997, 'n': 853, 'trace_an': 47046}
  • id: 61028307
    {'hecke_orbit_code': 67553994477666997, 'n': 857, 'trace_an': 51736}
  • id: 61028308
    {'hecke_orbit_code': 67553994477666997, 'n': 859, 'trace_an': 28640}
  • id: 61028309
    {'hecke_orbit_code': 67553994477666997, 'n': 863, 'trace_an': 100424}
  • id: 61028310
    {'hecke_orbit_code': 67553994477666997, 'n': 877, 'trace_an': 4240}
  • id: 61028311
    {'hecke_orbit_code': 67553994477666997, 'n': 881, 'trace_an': -129735}
  • id: 61028312
    {'hecke_orbit_code': 67553994477666997, 'n': 883, 'trace_an': 44431}
  • id: 61028313
    {'hecke_orbit_code': 67553994477666997, 'n': 887, 'trace_an': 40346}
  • id: 61028314
    {'hecke_orbit_code': 67553994477666997, 'n': 907, 'trace_an': 23548}
  • id: 61028315
    {'hecke_orbit_code': 67553994477666997, 'n': 911, 'trace_an': -25218}
  • id: 61028316
    {'hecke_orbit_code': 67553994477666997, 'n': 919, 'trace_an': 47240}
  • id: 61028317
    {'hecke_orbit_code': 67553994477666997, 'n': 929, 'trace_an': -52129}
  • id: 61028318
    {'hecke_orbit_code': 67553994477666997, 'n': 937, 'trace_an': -10100}
  • id: 61028319
    {'hecke_orbit_code': 67553994477666997, 'n': 941, 'trace_an': -50940}
  • id: 61028320
    {'hecke_orbit_code': 67553994477666997, 'n': 947, 'trace_an': 66122}
  • id: 61028321
    {'hecke_orbit_code': 67553994477666997, 'n': 953, 'trace_an': -27913}
  • id: 61028322
    {'hecke_orbit_code': 67553994477666997, 'n': 961, 'trace_an': -92043}
  • id: 61028323
    {'hecke_orbit_code': 67553994477666997, 'n': 967, 'trace_an': -62162}
  • id: 61028324
    {'hecke_orbit_code': 67553994477666997, 'n': 971, 'trace_an': 62487}
  • id: 61028325
    {'hecke_orbit_code': 67553994477666997, 'n': 977, 'trace_an': -44028}
  • id: 61028326
    {'hecke_orbit_code': 67553994477666997, 'n': 983, 'trace_an': -29150}
  • id: 61028327
    {'hecke_orbit_code': 67553994477666997, 'n': 991, 'trace_an': 62445}
  • id: 61028328
    {'hecke_orbit_code': 67553994477666997, 'n': 997, 'trace_an': -94902}