Embedded newform data - 312.2.bt.d.19.3

Formats: - HTML - YAML - JSON - 2024-05-17T19:48:24.897657

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 1248, 'analytic_conductor': 2.491332543063948, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 104, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 46, 'char_orbit_label': 'bt', 'char_order': 12, 'char_parity': 1, 'char_values': [312, 12, [79, 157, 209, 145], [6, 6, 12, 5]], 'cm_discs': [], 'conrey_index': 19, 'conrey_indexes': [19, 67, 115, 163], 'dim': 56, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [4096, 0, 0, 0, 2908493885440, 0, 0, 0, 1782206947595392, 0, 0, 0, 24742275005059648, 0, 0, 0, 84700329551503969, 0, 0, 0, 71113177782663782, 0, 0, 0, 16232575035046957, 0, 0, 0, 1509830909559368, 0, 0, 0, 65549775587986, 0, 0, 0, 1443512731044, 0, 0, 0, 17709491538, 0, 0, 0, 126278920, 0, 0, 0, 517901, 0, 0, 0, 1126, 0, 0, 0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13513891292119352, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 4, -1, 2, 0], [1, 1, 13, 6, -1, 12, 0], [1, 1, 104, 21, 1, 12, 0]], 'is_cm': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '312.2.bt.d', 'level': 312, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'minimal_twist': '312.2.bt.d', 'prim_orbit_index': 21, 'related_objects': [], 'relative_dim': 14, 'rm_discs': [], 'sato_tate_group': '1.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '312.2.bt', 'trace_display': [0, 28, 0, 0], 'traces': [56, 0, 28, 0, 0, 0, 0, -12, -28, 0, 0, 0, 0, -28, 0, 12, 0, 0, -8, -4, 0, 10, 0, -6, 0, 34, -56, -14, 0, 0, 0, -30, 0, 56, 0, 0, 0, 0, 0, -28, 40, -14, 0, -44, 0, -18, 0, -12, 24, -72, 0, 32, 0, 0, 0, -54, -16, -16, 32, -20, 0, 0, 0, 0, 48, 20, -24, -26, 0, 64, 0, 6, 44, -6, -12, 6, 0, 32, 0, -4, -28, -30, 40, 2, 0, -28, 0, 126, -68, 0, -72, 52, 0, 34, 0, 0, -4, 4, 0, 40, 0, 46, 0, 56, 0, 40, -40, 0, 0, 50, 0, 24, 40, 6, -80, 0, 0, -96, 0, -14, 0, 4, 20, 8, 0, 14, 0, -42, 0, -14, 0, -70, 0, 138, 0, -64, -28, 60, -16, -186, 0, 0, 0, -24, -104, 40, 24, -64, 0, -36, 0, -62, 0, -180, 0, 58, 0, -24, 0, 78, -24, 0, -56, 76, 0, -30, 0, 0, -20, 148, -8, 2, 0, 40, 0, -6, -32, -44, 0, -16, 0, -42, 0, 122, 28, 0, 0, 174, 0, -200, 0, 36, 64, 0, 84, 248, 0, 10, 0, 188, -48, 64, 184, 26, 0, 98, 0, 2, -64, 98, -88, -84, 0, -50, 0, 12, -88, -36, 28, 0, 0, -12, 0, 70, -12, -40, 96, 42, 0, 66, 0, -82, 0, -2, -16, -28, 0, 126, 0, -80, 52, 64, 28, -150, 0, 0, 0, -240, 80, -28, 0, 16, 0, -168, 0, -84, -156, -26, 0, -56, 0, -128, 0, 126, 172, 20, 68, -104, 0, 0, 0, 0, 0, 68, 88, 26, 0, -32, 0, -182, -4, -34, 96, 22, 0, -20, 0, 30, -24, -348, 16, 260, 0, -100, 0, 300, 0, 0, -96, 80, 0, -150, 0, 28, 48, -10, -72, 144, 0, 260, 0, -8, 32, -102, 0, -108, 0, -16, 0, -16, 40, 0, -40, 0, 0, -96, 0, -112, 0, -116, 24, 138, 0, 28, 0, -54, 0, 144, 80, -278, 0, 6, 0, -142, -40, 136, -48, -156, 0, 0, 0, -220, -124, -48, -96, -220, 0, -182, 0, 14, -96, -142, 0, 30, 0, -10, 0, -42, -20, 10, -120, -32, 0, 102, 0, 0, -116, 28, 80, -50, 0, 84, 0, -126, 128, -64, 0, 100, 0, -16, 0, 142, 0, -312, 120, -26, 0, -112, 0, 468, 60, 0, 192, 256, 0, 2, 0, -68, 32, 266, 28, 78, 0, 78, 0, -88, -32, -24, 144, -186, 0, -4, 0, 0, -108, 30, 376, 0, 0, -196, 0, -12, 60, 124, -28, 132, 0, -40, 0, 34, 0, 40, 128, -146, 0, 420, 0, -150, 76, 36, -8, -270, 0, 0, 0, -124, 152, 128, 0, 28, 0, -12, 0, -48, 96, -200, 0, 26, 0, 278, 0, 456, 168, 48, 128, 4, 0, 150, 0, 0, -68, 392, -96, 56, 0, 0, 0, -12, -16, -68, -480, 170, 0, -62, 0, 372, -104, -30, -280, 188, 0, -144, 0, 54, -36, 0, -160, 312, 0, 74, 0, 240, 8, 258, -320, -2, 0, 122, 0, -196, 96, 56, -88, -60, 0, 94, 0, 108, 100, -336, -64, 0, 0, -88, 0, 106, 0, -144, -368, 4, 0, 140, 0, -88, 0, 30, 192, -102, 0, 396, 0, 10, -96, 228, -28, -540, 0, 0, 0, -436, -24, 70, -24, 132, 0, -250, 0, -122, -168, -214, 0, 26, 0, -10, 0, 36, -220, -88, -4, -8, 0, 36, 0, 0, 36, 632, -136, 124, 0, -332, 0, -126, 148, -10, 192, -80, 0, -160, 0, 304, 80, -696, -24, -2, 0, -112, 0, 270, 32, 0, 200, 52, 0, -122, 0, -128, 28, -26, 240, 132, 0, 294, 0, 4, -384, -244, -32, -366, 0, 34, 0, -148, 88, -144, -24, 0, 0, -604, 0, -78, -168, -124, 0, 88, 0, 46, 0, 6, 0, 268, -176, -348, 0, -36, 0, -218, -16, 236, 144, -258, 0, 0, 0, -516, 432, -6, 96, -224, 0, 30, 0, -70, 312, -4, 0, 164, 0, -62, 0, 180, 72, 144, 32, 36, 0, 492, 0, 0, -104, 132, -48, 12, 0, 60, 0, -110, -188, -4, 0, 64, 0, -34, 0, -2, -8, -78, 16, 64, 0, -172, 0, 336, 72, 0, -568, 444, 0, -54, 0, -76, -56, 368, -28, -2, 0, 92, 0, -84, 56, -156, -152, -150, 0, 10, 0, -152, 184, 30, -168, 0, 0, -396, 0, -120, 192, 304, 40, 234, 0, 28, 0, 174, 0, 72, -256, 14, 0, 648, 0, -186, -252, 12, -240, -192, 0, 0, 0, -168, -428, 228, -156, 148, 0, 2, 0, -136, -96, -168, 0, 86, 0, 378, 0, 324, -212, 20, -96, 0, 0, 312, 0, 0, -56, 168, 188, 90, 0, 268, 0, -120, 136, 6, 312, 2, 0, -172, 0, 322, 120, 0, 160, 390, 0, -252, 0, 342, 72, 0, 72, 500, 0, 34, 0, 252, 56, 240, 344, -26, 0, 26, 0, -82, -24, 8, 304, -60, 0, -124, 0, -28, -104, -390, 160, 0, 0, -68, 0, 24, 96, -172, 216, 182, 0, 18, 0, -146, 0, -58, -160, -138, 0, 306, 0, 30, 544, 32, 24, -588, 0, 0, 0, -352, 20, 12, 336, 256, 0, -470, 0, 10, 828, -104, 0, 48, 0, 88, 0, 300, -24, -120, 0, -56, 0, -96, 0, 0, 48, 232, -80, 40, 0, -352, 0, -516, -284, 150, -216, -262, 0, -94, 0, 230, -176, -696, -60, -76, 0, -56, 0, 306, 0, 0, 136, 288, 0, -186, 0, -56, 56, 28, -392, 92, 0, 134, 0, -64, 216, -628, 16, -810, 0, -258, 0, -132, 0, -324, -168, 0, 0, -624, 0, -126, 336, -56, 88, -42, 0, -60, 0, -248, 0, -40, 80, -320, 0, 0, 0, -282, -80, 272, -144, 0, 0, 0, 0, -492, -120, -48, 408, -600, 0, -222, 0, 112, -492, 94, 0, 94, 0, -166, 0, 348, -168, 184, 24, -96, 0, 372, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [-0.8886544515916246, -0.4585774369355615], [0.28867513459481287, -0.5], [0.5794134686672222, 0.8150337614645286], [0.22944948583153527, 0.22944948583153527], [-0.48582116188927266, 0.31194732246629475], [0.5408656289657718, 0.14492450849512983], [-0.14114226489491793, -0.9899893237102776], [-0.16666666666666666, -0.28867513459481287], [-0.09868094988079533, -0.3091216641184111], [0.431550316711847, -0.11563355885633464], [0.574779141785822, -0.054426753543521694], [0.2682429688721445, 0.9633512908854474], [-0.4141835392384945, -0.3768165834765894], [0.1809611041208967, -0.04848838171063858], [-0.3285600646540359, 0.9444830776221116], [0.26388759466611694, -0.15235557381628545], [0.015729171935753225, 0.33296201624408545], [1.420342476415065, 0.3805796195310376], [-0.05406295503381773, 0.3199551999729387], [0.22859671248696722, -0.22859671248696722], [-0.43652605107583364, -0.09514096131538471], [0.35226696947938496, -0.6101442889666098], [-0.535738924170696, -0.2152141688220332], [0.0, -0.8947058669032882], [0.2033958574464282, -0.9790965862332645], [-0.19245008972987526, 0.0], [0.195266462874753, 0.5247949601849066], [-1.1119968915680016, -0.6420117046848128], [-0.18304756854798812, -0.0398952630551572], [-0.2963493934542538, -0.2963493934542538], [0.725094993035, -0.6886488590534172], [0.06676106633305924, -0.24915569152245312], [-0.30437171426337, 0.014378562095560177], [0.09084848651155078, 0.1573541944287418], [0.13871106934555236, -0.30310122129764583], [0.15534021901886677, 0.579737589837288], [-1.0876684379764652, -0.9895407854864321], [0.5591107205860022, 0.143974079122371], [0.19476752119479523, -0.2595375614132698], [0.07856507631417156, 0.29320885650501444], [-0.30797278067492306, 0.09831419166658524], [1.2096406116274345, -0.6983863327458029], [0.34429132033665794, 0.284728436459581], [0.02799478023320651, -0.1044779421770516], [-0.5928420147717249, 0.3806657545224703], [0.4327974867707077, -0.4327974867707077], [0.37739441792457157, 0.43692881188210414], [-0.5944928883504536, -0.3432306291204525], [-0.41029192325571956, 0.7950843514887507], [0.0, -0.17592506311074463], [-0.6297402371822723, 0.7768057889032595], [0.0, 0.07050859778350049], [0.17102162894766124, 0.08825326888634503], [0.12555105890442605, 0.07248693765551294], [0.06713471627809457, -0.5559061716057438], [0.6003073653153675, -0.6003073653153675], [0.6937689058309616, 1.0804632437576522], [-0.46968706057246795, 1.7528959737141312], [0.1443709691654887, 0.11939458793340722], [-1.5654629113749288, 0.9038204332886904], [0.12745306243194052, 0.3992513530072605], [-0.04830816949837661, -0.18028854298859062], [-0.9601577221206656, 0.27945867074051334], [-0.15949224708317358, 0.28258866965444973], [-0.1735846972061508, 0.19079819572471826], [0.22989411054198167, 0.8579765009035314], [0.2770749629713185, 0.12680042738887315], [-0.20338142965553657, -0.35226696947938496], [-0.008573828786658839, -0.18149457144965728], [-0.11628701359212422, 0.43398904298626023], [-0.26226159045367253, 0.20574248293393677], [-0.5174550441288301, -0.5174550441288301], [0.12781080090044947, -0.586421909454586], [-0.4473529334516441, -0.2582793365510755], [0.5127803221119243, 1.3781400285769438], [0.25016887016152817, 0.0], [-0.43083296659225717, -0.38433876753542356], [0.0, -0.36554287322539825], [-0.292099094436624, 0.141323218637335], [-0.05555555555555555, 0.09622504486493763], [0.06464176109665211, -0.29658952690807056], [-0.31823504012156767, 0.31823504012156767], [0.31876605254467566, 0.053862024328680876], [0.09550678098917632, 0.0255909648377459], [-1.3952167288101316, 0.06591023223203338], [-0.6420117046848128, 0.3706656305226672], [-0.17538597784722457, -0.4109094237936746], [-0.21756697470759964, 0.058296895172583824], [-0.0727889130154223, 0.08000701384185109], [0.005470189734956106, 0.5599185822808157], [0.7013964215554971, -0.0664163456831459], [-0.23372339776962478, 0.06262599568462902], [-0.5830785754519203, 0.1861362510609929], [0.23857305289876826, 0.41322064893748406], [-0.1350075348183051, -0.5613432985933096], [0.11110926508191386, 0.02977163785031436], [0.3709009294923558, 0.577634451506654], [-0.10530558595183745, -0.10530558595183745], [0.7292154881065688, -0.5184046297793482], [-0.5698811872238919, 0.9870631705494526], [-0.08067526453405217, 0.1563365904799007], [-0.24524940637012096, 0.0], [0.9158470727903555, -0.40152725842878634], [0.10490279628582785, 0.0], [0.032333652053478074, -0.06265777929579107], [-0.4959527605065154, 0.859015379351324], [-0.11150817403570518, -0.15685332052672626], [-0.6906460235063919, -0.6906460235063919], [-0.07833063331608751, -0.12199072262675353], [0.3347116535519031, 0.08968571726651815], [-0.3145855918284919, 0.46322202794449713], [-0.22308751745558675, -0.386398914767485], [-0.808753225470602, 0.2581783995508799], [0.22082476840891427, -0.05916981836395828], [-0.1210447615170677, -1.2783052380079156], [0.2333884020797525, -0.23799362362418638], [1.2212280400732003, -1.3423309218189778], [0.16480778651717265, -0.04416011330363728], [-0.07354424031102931, -0.17230580107078278], [-0.6931608478641246, 0.40019660210606156], [1.8056272427424318, -0.08529808196546873], [0.16928421223195245, 0.04535956795889044], [0.06982593085599542, -0.4132435908535086], [0.4347392869629528, -0.4347392869629528], [-0.03974698807957958, 0.18236725284939326], [0.8347239066220357, -1.445784216561745], [0.9814018749502073, 0.19196447547454668], [0.0, -0.8064270744182896], [0.27132228320198115, -0.17798413337928676], [-0.12241008856909358, 0.0], [0.24175256146780105, -0.0899516404503888], [0.7130591125492369, 0.4116848705784176], [0.1891522400074539, -0.8678688888678514], [-0.044157574136752704, -0.044157574136752704], [-0.18807608427472353, -0.23974209062124557], [-0.3707111054093112, 1.383512680317571], [0.019194128853547408, 0.4063097453082726], [-0.6425818298972086, -1.1129843774025472], 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[-0.165594363149642, 0.20023536334486058], [0.13524856142129715, -0.07808579334409554], [1.840412673269244, -0.5875151820523796], [-0.029895239088839384, -0.11157055118396769], [-0.49174734029149475, -0.36902716508998906]], 'angles': [None, None, -0.09906320881871314, -0.16317063206683377, -0.25581100243160826, None, -0.3089903881419811, -0.07687196197679978, -0.3593721224043878, -0.27761664260292485, -0.15860005948651099, 0.006842401703146854, -0.017417037201262798, -0.2102842161161852, -0.32549893081273, 0.005612058849299607, 0.22262170919993965, 0.346291335777482, 0.03157537389337372, -0.49439515060282974, -0.18461870186186202, -0.47074658348250176, -0.411123378245053, -0.30962895614774927, -0.19917458009789135, 0.17983872498193304, -0.26956557218399, -0.4992572113450791, -0.20620243880160208, -0.11914011875956186, -0.2594802766606461, -0.2597471773927172, 0.16871736874069412, -0.47226497063073264, -0.4067040539093912, -0.30941075604370394, 0.06963882253015709, -0.3833457516763408, 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-0.2640103939044933, -0.34477223556997216, -0.15315927620806075, 0.10333108779859956, -0.41579852853528326, 0.21347959100527095, -0.4085470860161591, -0.1283770166630784, -0.3206781445947077, -0.3861768430902232, -0.2147567220695274, -0.09334246480278392, -0.049506605324812755, -0.4150987379949102, -0.10891781602760765, -0.31381147238298884, -0.45221192273205774, -0.31406374803299975, -0.20031543273168997, -0.32127722037949635, -0.16006896884661173, -0.38340496416597375, -0.11272789285935439, -0.21784895633968376, 0.003400005663180568, -0.260321341218932, -0.09738478381924948, -0.1140746447763461, 0.02906562541642849, -0.2897289133062616, -0.47477540109717387, -0.09424698092389064, 0.05782601595276407, 0.04308396819749504, -0.30794041582914955, -0.12127430001745686, -0.32089292909276573], 'char_orbit_index': 46, 'conrey_index': 19, 'dual_conrey_index': 115, 'dual_embedding_index': 3, 'dual_embedding_m': 31, 'embedding_index': 3, 'embedding_m': 3, 'hecke_orbit': 4, 'hecke_orbit_code': 13513891292119352, 'label': '312.2.bt.d.19.3', 'level': 312, 'weight': 2}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1248, 'analytic_conductor': 2.491332543063948, 'char_conductor': 104, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 46, 'char_orbit_label': 'bt', 'char_order': 12, 'char_parity': 1, 'char_values': [312, 12, [79, 157, 209, 145], [6, 6, 12, 5]], 'conrey_index': 19, 'cusp_dim': 208, 'dim': 112, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 3092410007864, 'hecke_orbit_dims': [4, 4, 48, 56], 'label': '312.2.bt', 'level': 312, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'mf_dim': 240, 'mf_new_dim': 112, 'num_forms': 4, 'prim_orbit_index': 21, 'relative_dim': 28, 'sturm_bound': 112, 'trace_bound': 2, 'trace_display': [0, 0, 0, 0], 'traces': [112, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, -32, 0, 8, 0, 0, 0, -12, 0, 28, 0, -12, 0, 40, 0, -28, 0, 0, 0, -40, 0, 64, 0, 0, 0, 0, 0, 24, -16, -12, 0, -24, 0, -44, 0, -16, 48, -92, 0, 56, 0, 0, 0, -108, -32, -56, 64, -64, 0, -60, 0, 0, 16, -16, 0, -24, 0, 24, 0, 0, 24, -24, 0, 108, 0, 44, 0, 4, -56, -60, 80, 0, 0, 0, 0, 132, -40, 0, -176, -24, 0, 12, 0, -40, -8, -4, 0, 72, 0, 48, 0, 100, 0, 104, -80, 0, 0, 172, 0, 136, 0, 72, -160, 0, 0, 0, 0, -40, 0, 160, 48, -56, 0, 16, 0, -168, 0, -20, 0, -104, 0, 168, 0, -72, -8, 88, -32, -180, 0, 0, 0, -16, 48, 96, 0, 8, 0, 4, 0, -108, 0, -216, 0, 64, 0, -44, 0, -12, 32, 0, -160, -32, 0, -252, 0, 0, 24, -16, 0, 12, 0, 72, 0, 68, 0, -112, 0, 36, 0, -88, 0, 212, -40, 60, 32, 212, 0, -216, 0, 72, 32, 0, 160, 176, 0, 28, 0, 224, -96, -64, 368, 28, 0, 88, 0, 60, -128, 184, 0, 108, 0, 68, 0, 24, -16, 180, 128, 0, 0, 24, 0, 140, -24, -32, 160, 24, 0, 188, 0, -252, 0, -20, -224, 0, 0, -108, 0, -60, -24, 24, 0, -180, 0, 0, 0, -112, 0, -72, 0, 32, 0, -108, 0, -136, -312, -100, 0, -144, 0, -320, 0, 120, 216, -144, 96, -240, 0, 0, 0, 0, 16, -136, 80, 64, 0, -240, 0, -60, 168, -56, -144, 116, 0, 120, 0, 80, 48, -324, 0, 256, 0, -144, 0, 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-128, 0, 0, 48, 0, 316, 0, -208, -544, -4, 0, 212, 0, -400, 0, -40, 384, 208, 0, 120, 0, 40, 32, 80, -96, -456, 0, 0, 0, 120, 32, -20, -240, 296, 0, -288, 0, -76, 0, -272, 0, -172, 0, -372, 0, 0, -24, -292, -96, -304, 0, -204, 0, 0, -8, 144, -144, 160, 0, -552, 0, 76, 40, 8, 384, 20, 0, -24, 0, 304, -32, -516, 0, -28, 0, -120, 0, -60, 0, 0, 208, 48, 0, -184, 0, -208, 104, -132, 592, 272, 0, 444, 0, 8, -448, -108, 0, -108, 0, -12, 0, -152, 176, 456, 240, 0, 0, -360, 0, -4, -96, -264, 64, -368, 0, 124, 0, 0, 0, 144, -320, -320, 0, -252, 0, -288, -96, 328, 256, -240, 0, 0, 0, -344, 320, -24, 192, -416, 0, 388, 0, 0, -144, 72, 0, 16, 0, -240, 0, -492, 64, 8, 0, -48, 0, 252, 0, 0, -320, -112, -224, -160, 0, 272, 0, -112, -88, -92, 0, 288, 0, -28, 0, -316, 96, 468, -416, -40, 0, 72, 0, 24, 160, 0, -880, -88, 0, 148, 0, -104, -240, 40, -128, 68, 0, 304, 0, 216, 112, 296, -304, -120, 0, 216, 0, -40, 32, 60, -384, 0, 0, -72, 0, -184, 0, 480, 80, -20, 0, -16, 0, 220, 0, -40, -512, 0, 0, 492, 0, 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-312, 448, 0, 84, 0, -236, 0, -240, -112, 8, 176, -48, 0, 72, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 43792832
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 56, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13513891292119352, 'source_is_minimal': True, 'source_label': '312.2.bt.d.19.3', 'source_level': 312, 'target_conrey_index': 19, 'target_dim': 56, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13513891292119352, 'target_is_minimal': True, 'target_label': '312.2.bt.d.19.3', 'target_level': 312, 'twist_class_label': '312.2.bt.d.19.3', 'twist_class_level': 312, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 43792833
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 56, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13513891292119352, 'source_is_minimal': True, 'source_label': '312.2.bt.d.19.3', 'source_level': 312, 'target_conrey_index': 19, 'target_dim': 56, 'target_embedding_index': 12, 'target_hecke_orbit_code': 18021751527048104, 'target_is_minimal': False, 'target_label': '936.2.ed.e.19.12', 'target_level': 936, 'twist_class_label': '312.2.bt.d.19.3', 'twist_class_level': 312, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43792834
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 56, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13513891292119352, 'source_is_minimal': True, 'source_label': '312.2.bt.d.19.3', 'source_level': 312, 'target_conrey_index': 19, 'target_dim': 56, 'target_embedding_index': 10, 'target_hecke_orbit_code': 13513891292119352, 'target_is_minimal': True, 'target_label': '312.2.bt.d.19.10', 'target_level': 312, 'twist_class_label': '312.2.bt.d.19.3', 'twist_class_level': 312, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 43792835
    {'conductor': 13, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 56, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13513891292119352, 'source_is_minimal': True, 'source_label': '312.2.bt.d.19.3', 'source_level': 312, 'target_conrey_index': 115, 'target_dim': 56, 'target_embedding_index': 10, 'target_hecke_orbit_code': 13513891292119352, 'target_is_minimal': True, 'target_label': '312.2.bt.d.115.10', 'target_level': 312, 'twist_class_label': '312.2.bt.d.19.3', 'twist_class_level': 312, 'twisting_char_label': '13.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 43792836
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 56, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13513891292119352, 'source_is_minimal': True, 'source_label': '312.2.bt.d.19.3', 'source_level': 312, 'target_conrey_index': 19, 'target_dim': 56, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18021751527048104, 'target_is_minimal': False, 'target_label': '936.2.ed.e.19.5', 'target_level': 936, 'twist_class_label': '312.2.bt.d.19.3', 'twist_class_level': 312, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 43792837
    {'conductor': 39, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 56, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13513891292119352, 'source_is_minimal': True, 'source_label': '312.2.bt.d.19.3', 'source_level': 312, 'target_conrey_index': 739, 'target_dim': 56, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18021751527048104, 'target_is_minimal': False, 'target_label': '936.2.ed.e.739.5', 'target_level': 936, 'twist_class_label': '312.2.bt.d.19.3', 'twist_class_level': 312, 'twisting_char_label': '39.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 43792838
    {'conductor': 104, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 19, 'source_dim': 56, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13513891292119352, 'source_is_minimal': True, 'source_label': '312.2.bt.d.19.3', 'source_level': 312, 'target_conrey_index': 115, 'target_dim': 56, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13513891292119352, 'target_is_minimal': True, 'target_label': '312.2.bt.d.115.3', 'target_level': 312, 'twist_class_label': '312.2.bt.d.19.3', 'twist_class_level': 312, 'twisting_char_label': '104.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 43792839
    {'conductor': 312, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 19, 'source_dim': 56, 'source_embedding_index': 3, 'source_hecke_orbit_code': 13513891292119352, 'source_is_minimal': True, 'source_label': '312.2.bt.d.19.3', 'source_level': 312, 'target_conrey_index': 739, 'target_dim': 56, 'target_embedding_index': 12, 'target_hecke_orbit_code': 18021751527048104, 'target_is_minimal': False, 'target_label': '936.2.ed.e.739.12', 'target_level': 936, 'twist_class_label': '312.2.bt.d.19.3', 'twist_class_level': 312, 'twisting_char_label': '312.11', 'twisting_conrey_index': 11, 'weight': 2}
• hecke_orbit_code 13513891292119352 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 46, 'hecke_orbit': 4, 'label': '312.2.bt.d', 'level': 312, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHEQMAnc9gGAAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vGzXXd+Nv9dau0w97faie6+uylW1JMuy3LuNwXFssE2HEDqEPM+TJyGUJITwCzH2AyGB4ASMsTFgMBjjKhfJtizJkqzedXvv99Tps8tazx9rl7XnnCsbHudnTDIvj2fmnKM7M3t/9md9vp9vWYL/ffuG3T7yybuRUmx6cv/xaZMas3WdT+BLHj7S4xXPmxMvuqa1cNcjKVvXLa67+epT5vH926gFkk3rBrSaqdDyihUw59ZtfTnAFmAZGAohvtlf7Vv25n2zP8C3yu3g0bMAl2qdbjIIPRhG/PVH/4Yrtp5m15ZFairg8MmPxkvm+b867C/9I0+Y+NTZgE1zgngworeSBKdOzb/vxCmBSEc/dmKqH505N8+WdXB8FDHVSv1RcvRTv/PHe3/1mZMfE//lP/z4u86dOvJXteTxh/sr+5QhBCGkkv454Ei9tfWbfUi+JW7/mxoucnv24AWMqM345sgrBktPoISMTy1N/4veSL5eCkMUJzzyyGO06stcvrXDck9x4nwd9JgkTphtG/adCLj20pQzFySzUwntZsihMx6pjlnfEpxeiLlut+bACcnclCYIAmo1jyMXJMt9uHJjwhU7Ztlz9fMw+HgKBpF3+94jo99OTeq/+mXXcfmubXdhxstCbvxmH7K/l7f/DfDstrw8j4FvazXHlx052tP/4Xf+Uv/At01d2h9v/MV+9xDNWsDRE2fpdheIYo+lgSQ1ATXf0A4N57sJB86M2DpXY7quUCJm/VTAFZcoBiMQcsypCx6jCE4vCBQBw3HMZZcYNs32kUiajYjNG3rsOzbH4nKdZi0l9GIGI02nr4iShJnZ9TRbW1HemGuvuJTH9y38xq1Xnj2y/YoflpGYlls3eIeAz021132zD+nfi9v/8gB/9sl7kEK8YnElesNThxbefvWlF/aM+wHv++h+XnTdMvMXfI7PD9i2TtEIYf205tRSiJIGKTRbZlKOn6/RbBgePjRmMBbUAlhYgUvXezTqIZvWJ7ziui7PHJni4b2CZ48nvPjalK3rNM2m4JJNy8wvK2ohDMeGR/eto1WXHD4fsHl2hBQQqJSzi4qpZoIkZevGmPmFFkOjedUNTY4vXUOtlfKy503vO7e04SNRIj8vBHd92+tf+c0+xN/U2/9yAO/3OtRr4ezZc/P/6ff/5PPBgRPPpj/55trzl5anbv7zz5xj04ZjvOaGJl94aJqhXuH1z/e45/Eau7cP6Q99ziwpxrEg9BKu3p6ycXbMYk/y+OEp4kRwxdYR53uK63cPOXDUpzvyiMZwy9V99p9s0K5H7D3lceuVkige0x15PH5McuPOlE7P57JtEVEsefKIYKFXY/MM7LmkR+BJohjOLvn0xgmXb/H58uOG19zcZzyc5jNfHfDKm1e4Yfd2HjywlYXh4OHvec3CI5vX36Dmtr8xarTmfjlNoqXZmalv9in4/+vtH3yQefjIMQLfEx/55D286paxYvC59xw84l/50GNnXnby+Cl19nyXg8dPsqnVZutck8cOreMVNy7x/D1TfO7BFg8dGrBzs+HMBY8tGwyD04bYGMaxz8l5yca5MUIYrtg25tkjHmEwZPfmgHPzPjNtwa1XxzxxUPPk4TaDuMeOTRHP86c4vQCPH6hz5Y6ES9bB4fOCehiDUBw45WGIkSZi+3pDqw5KRPjKpzOE7RsUx84Ibt7TY6bR5PanBO2pmBdf2+aRZ+CeRw6zfXvvZjP2bn5271FO3/83adDafnUnDfe/90Mf/tmXXy3S9Ze8HKMTs2HjJd/sU/Q/9fYPEuAry2dQUsnRqFv76J/92vg1b/7lf5Wm6Q/9yu8fjX/5+/ZfVRPTtd5ySCuA0UDy6AH4odf1ue6yFmcWa9zxcMh3vWyFG3bP8cXHAi7bPmDTdItjZxJu2ROx72TAdDMGJE8fa7BlVrO47HHvMyn3HoTrdxiu3i5Z6gnueVby6mtjppuK5V6Lk2c9VroG5Uf88BuXOX6uzUpPcNOVI66/bB6fGc4trOfkPFy9UzOMJEfPhcw0PPaekly5HXo9yZU7Fti1pcYXHwo4tjjkba/QnF+YYe8x6IxTbrwsQug6+44MeObwPnXowpFXtmYHt/7mTzVvSdPn++Px+E/e/N2/+JtPPXMwnJ2dGiVJonde8g/PmfkHJVGSVCOkkCZenu4sHXrRaCzfe/DgkeS+Bw/MPf7MufZTJxJm1i/wb793jEm38sSBOo8fiDlwbsgbXtzhpVc1eWL/NHc9GTE91+c7XyJ5al+Le54ectXuhG2zdTBDhCfwpcehsx4b2imdsaFVG3P8QsozJ1NaaobXv6DP8kqLB541XLtLcPklKWkiODHvk6aay7cJrrk05oFnBEv9Aa+7WVJvnmH/sRbHzs7QCAW9gc+6qYTDZwMCb4ySCqM9tm9a4podirsfm+HhIzFveUWHjc1p7n60xmNHB9x6wzLf8YKAQ8fX8/h+zROHYwayz7/5wQtsndrAgZPrWR5u6Dandy3uvPQyL9byJ66/Zvf9G+faK2C0EPKbfSq/Ybd/MAx+7vwC584v7Lz70RPbLt2cfGRrcNvUiROd5tHjEI89Wg3YMm144tgM9+49x1tftMz2jken79Edhnzki03mWl2uv8JjFDX5ytOGj9074G0v61CrtXj0oM+WuT5z7YCT5z26w5TBYEhzo0+sPWabii0zkpdfO+SxgwmeFIRBQthIePiIotny2bYuYpzA1jm48cp5OgOPcTJDrD2eOiZ54sAOQlUjDFK86THDMUy1h+wCuv2AkxdS5qYHrJ9q8fkHAp46EfHWV/bZNt3m3idqPHl0xNW7l/m+V6UcODbD4VOCUxcSznZS3vTKLtdur7P3aJMLS3DszLn2ibPH2p3xg0xt3vZX/8/Pjzqxn7w9lXtOjQaLx2qNuW/2Kf2G3L7lAW6MAbjyM5/78hYj/d+/+779l//qV+9R7/u/T7KuvYG5qTn6Q4/B0GM41uwawR9/fpbNc4u86AqPwWgd49hnGDV44NmIKF7m+isgDBo8uE/x0bs7XLtzhZdd3+TgyTbzKyPqQcL6Gc0VWxVnFxVLHUm3l9KqjwkDn23rI46e8/HkkLe+xOOR/T5X7VhherrLbY826A5D1k01efRAwNWX9pib8jl2QbB1vU+tFjNTS/E9iZSCh/fOMtUcUA/GXLZdEcg6X3nS0Gis8LZXQsuf5ksPBew7NeT6PUvcuBtOntnE3iM+x87EPHPKcPN1y/zI62JOXdjMucUaC8uw3EnoDODp00Omew80O8fvaHqDN9xlAnFwMNQ/ZYw5A+z/Vs+ifssCvNtZxPO8yw/sf+p5S8v9//PIkSOvuOv+Z3j2aJfFUcgffKrJz393hy3rawzHiuE4YDT2GY4N/TN1bnugyYuvWeTGKxUwgzE+jx+a4QP7+7zt1V1edFXMuukmD++d4fYHRmxeN2LPDsGGKY/DZ3wGo5j+ADp9gecZtq5LQUmkjBgOJGeXa6DrbJiKuGzrgHufDBmT8J0vjUmjBodOSdbPeGydE2idML/s0R2NGcYBvX7A9nVj5tojlJJ4niCOPQ6fgvUzA269PmHLjMeB41N8ZR+cWepx8/U9vveVKSfPbOKx/SH7jyc8diQlFj3edMuI0XAdp843OLcomV+OWewknFqSqPqIf/6dyzT9kGOHHlHL/VN7wqlr7+wOw7uUV/uvS8srTyRJcnDD+m9NX119sz/A3+W2vHCCIAx2njm57z8fPbLv33/lK/fv3Lv/MONxhFKK8Vjy9PGAbZu6vOTqmDgOiFMPbRTGCDw0J84FHFvQ7NzcZdMMNMIaNd9D4fH4YcW5lRHtdsQ1uzRXbgvp9WucmhcEXkxsFGeWfc7Ma7qRwPM8Nk4nnF/WHDsbMNOSCDw2zMYs9QzX7RwhZYOziw2u2Bpy4HjIyQXD1TvHnF+SxInPMFJcuT1GCENvINk4nbB+dsyG2QhfQmegCEO4YptgebnFFx+pc/DMiNnZDq96/pBbrww5fGIDj+8PeOZIwpH5iNZ0hx/9tj7X7Jji+NlpTpzzOTOfcn4x5sSi4MC84S0vPc+PvTGhP5jlwlKb84tw4PBZnt17bOdKP/6ecZTu2Lhxw/0//TM/t/I7//W3v9mn/m99+5Zaf4bdA3hefX2/e+r/PH3skevmF/pvPXDwBIudkMUOLK7ELKwknF8xHF0WzK3r8EvfvcALr2hy9MwcJ841OHVBceZCyolzMUfmNV6jz9te1udNtwScODfH3qMhh05p9p6ISeWI7RsiXnydZscGyYlzTU6elyx1NaNEIyXMtGD9VMJS16PbV8y0IzzhMdNOqYUxD+wNuXSTZv1MwtmFOr7SnF7UbJgxXLo54qt7Q4JAMdcCpWLWNWG5L1jsCza0NbPtGClhHCmWuh7Hz3ucmE/YsWnEi65L2Lbeg7TBvqMNDp8yPHs85fjimG97yTLf9bIxdTXDsbMzHDvjceZCypmFmBPzhgPzhhdcM88vvKPLxqkZTs9Pc36hxoUVn4VlOL805vz8iG2X7KbenPnYy1/+gqcuu3Trf+0PRvM3X7vrmw2Fr/v2LcPgZvl/4KkTbT184r8vn3/op1cWj13d7SxgCNBGkWqJMQJjNAKDNHDsXI2HDwku39bh6h0a8AGFlB6ekoTKcGHBZ98pxUgP2bOjy+6tmvUzHptmAgIRstgJOXlOcPSs4MljcOxsxPzymE4vZRT71IKA9S3D1g0xQqQMxx47N8X4yhBrQZwGLHYlw7FP4AmE0ayf1qybSlnqhnSHglHiszwQbJrSLHY0J84ran7AplnYtj5i49yIDXNjNs2N2bbRcMkmxVXbfeqqydETbb76dMCjBxKePB6Tqh7f8dIOb32xoa7mOHB8mqNnPE5fSDmXgfvQguHma+b5dz+wzPZ1U5y5MM2F5RqLHZ+ljmS5l9LtpwzGgkPHFjh8euWqxw/Ov+zgyQs7j5ya//ytr31bdO/tf/XNhsTXdft7zeBLyx2SxCAl77z/8cMv/qXf+bh8yy2HXvwv3nLKW1jZwFK3zVKnzmLHZ7HjsdgRLHVSljoxiysp51bg8KJg/boV/sMPLfKCKxqcPD/LmQtNzix4nF80nFtIODWfcqGXMD074iXX9XnhHghknVCFnF+qcXbB49ySYDCGJNHUAk2zljIzlaCB4+cSun3YsdGnWR9jjAAR0B9qLtk0ZnHFA2OlyEofxgkYDEudiK0bfHpDhVAGoce0az6XbB6xMhAcP+ORao+5tqRVE4Q+JIlgMJacW5KcXTScX04IwxH4Cbde3efF1wjWt+ssLrc5eT7kzAKcX0g4v5RwegkOLxqef/UCv/ZDy2yabnPi3CznFuvMLwcsdCRLKynL3ZjlbspST7PYF5zuCpaWB/znfzFOvvtVzfvCdT+qw9ae+4TRv2SkT1hrf7OhctHb31sGf+8H/pqXvugm/uW//Fe//pcfu/P/fv+Hv3jZvuMrOw+c7suXXGuZNkk9tJEYY9kbIwEJCIQweMIQSDizWOfBQ5Lrdi+xZ/uIRg18TxL4iiDwaNYlDV8y6PvsP1bjC48GHL8wppvE7D85ZuPcEm96yTLXXdbj+Xs6HFtIWBgIGuGII2cMnW6Tay+VrIxS9h5TtBoezxyHy7cYRlHKKA3wvJiZFuw7GaK8FF8meD4Mx5IX7BkwHEiuuyylO0w5fqbFrk2KZiNiZWzYMD1gud/lL++Ex4+mPHl0xI4ti1x/ZZeZ2Yg33trju15u2L2pRRpPc/T0FIdP+Zw8pzl1IebUhZTDFwQnVmKed8U8/+GHemycnubkuVnOLzaYXwlY7EiWOymdXsxKP2Wlb1juC84PFIvdhJv3zPMzb5qXoTI7z509uWs0Sm5pTO+q1xszX3zq4Y/xnj/4i282ZNa8/b1k8D/50Ee5/uqt6u6vHvqVYyfO/Zsnnj2m5ldiFoeKUwPDtZec57d/ap4bdjc4vzjDYqfBUqfGUsdnqeux3IPlTspyN2Gpl7DQgZPLAq8+4kXXLPHdL4/YtaHJSr/NhaU680sBCx3BUsdKhOWepjvUdMeGwShhrh1zyUYNCELfcOqCj5AhOzYodm0xbNkw4PzymCcOtrjpckOjvszTh2ZpNSOiyGduRjMcwVWXjPjQndNcuT1hPDasm5LE6ZBWLeSZYyPqfpMbrkh48kjE+cWArXMhuzbDJZsilIo5tQCBbxDCsGNjwkxL0huG9Ac+3YHPUlextAKLHc1SJ2Whk3KuA4ujlEu29vnuVyzwoj0eNb/N2YU2C8s1FlY8lrqC5Y5mpRez3LPgXuzDuZ7i/ErCC648x7t+apHLtrRYXGmz3K0xjNqEzUvTsLHp14fm8l8LOJXe+rK3fLOhs+r29wrgB/YfoFav1c+cPnXJQ48+/Y7DR0//x/2HThOnkkEEKwPBhYHiTC/hpkvP81s/tcj1l9a5sDzD4kqD5W6Npa7PctdjuQudnmall7DcS1jqGs53BGf6BkSft760wxtfoLl0c40oarDcqbHSD+j0FMt9QW8gGI0NUWJIU1DSEPpQDw3TbcOG2RjPH3H4bMRTh0J00uQNt0R4/gqP7J1i52b47IMJL7025EJnSM1TJGnM7AwksY/nJywuNnjJjV0+e3+LXZvh4YNjfBq8/gWaRAx56nDK0VM1PBmwccZjpimoh4IgECgBiYYoNowi6A0MK31Nb6BZGWgW+4ZhmrJj24A3vrDDW18cgW6xuDLFhSUr65a6HssdWOmldPoJKxm4lwZwtquY76Y8/4rzvPunLnD1jjrzy9OsdBt0+iH9oUdvKAgbWwnrm//t+s1X/dW2bVtPjEej4WVXXPHNhlJx+3sD8BPHD7Jh/brg4MHDP7L/wKH3PPjQ42J+qSdHY8NgbBiMNb2hYGUouDCUnO3FvOCyC7zrxxe58bIaCyvTLK40We6GrPQClnseKz1Bp2fo9FNWegmdvma5b7jQE5ztaGamB7z2+T1u3ZOwY6OiXffp9mqEvgQUUSLRWqANDEaA0My0Rhw8bdAm4o6Hm4wHdS7bGvCi6wbEeoW7H53mhst9Dp7r01lu88LrBnzxkZCNs4a9xw3/7C1d9h4L2Tgr+cKjihddpVgadDlycpYbroi4+6khybjBrVcH7N4+Ypj0uf0RBang8CmPdsPDEzAYSrQRpNoQJ4DUeIGm0zc0WzHbN4958VUDXntTwlyzxvmlKRZX6ix37bFZ7go6fej0Ejr9hE4/pTMwLA0k53qChV7CLVfO8+s/Ps/1u2rML0+x0m/Q7Yd0B75Nno0UvYEgSmt65+5rzc6dl/3szkt3f2BpYT666qorv9mQAv6eADxJYhlHwzc98fBnLut09bsfePBhvzeyDDoYJQxHmsFI0x8bekNBJwP5mU7CrVdd4J0/Ps9NuwNWulPML7fo9Gus9AJW+h6dnqIzgF7f0B0kdPsp/aGmMzDM9wXzfYjTMddfPmTTbEp/YPi2F47ZuUmTpBJPGqIY7nqixokLNTbPJDx9uAa6wZ5tihuv1IS1AY8cHDC/0OSanU3a08vc/6TPzZfXWByssLzcZtMmw4N7Fd//qj4P7fXYtsFnod9heWmWG68acP/TKbP1aa65rM+FTocHn52m7jV5/pWGKy4ZgezzxFHBhtmY8/Mxdz/hM4oVUkKqDTs3R7z2hRG9vmLLjObGyyGKGix1Gix1Qlb6Pt2BotOXdPvQHVinpDdI6Q40KwPD0lByuivoDMe86Ip5fu3Hlnn+5fbi6PTqdAchvYFPb+jRHyr6Q0l/JOj2U7r9mOfd8Pw40d6//t63/6NDzWb900Hg6282tr7pmcx43CeNBz90+vgjvz1/7uDsufPLtBoSISVSGAAECUIAwlqAQhikNEjp8dCBjfzS+zze8qIlvudVS+zaGnFusU0Y1KmHAY3Qp1n36NUlraHPVNNjMErpD1M2jjXDsaE3Clmar3HqpCFKNKfPJYShAQSBMnhSMBgqBD7JwON5OwW7txgu2TpgnPb43EOKfYdmeN1NITdetcwHP2cIRIOdWwc8eb9i67RiXXtATdWJYp8LPWjWPLZtFDy+L+LGK+q8/IYF/vi2IYHf4jW3GPxwwJcejPjsA02ePVrn0i0Ndm5OWT8TsWtdzLU7U5TSeMoAhkYYsn46JIp9eoOApw/69Eceg6GiP5L0h9AfGfoD+917w5T+0NAdGlaGMD9QnF82NKY6/Nwb5vnHLxpz/aVNzi606fRr9ApwKwajEtyDkWEc2VXkrq885Lfac7+9adODS696+S3/otsd/HG73fhfF+BRNMAgfuz08a++88jeL84Oe30CL6BeU2iDdUZQCAFCpAgBUthOGiUNSqYEUvLkwfU8dqDJwTMXeMuL+7z46hHTrTZLnQbNbo32MKA/8OhlJ3s48hiMPUZjwyjSRLEhjg1Jau9REmA0SCXwPUEtEEy3BDMt2LROs23jgHUzHT7/CNzzmI/UU7zuJp/n7elx77Mx0ajNi54n6AyHXFhscusVmnXTA+peyChRzHdjlBY87wqPRmvMo/trvOzGKV54fY9H9yswU9x0dcCPfscSX3w84gsPNdl7osYl6xWbZuvMtBpMtaAegu8ZlARtYO9RQZoK4kQQJTCOsd9xnDIca0ZjuxIOxpr+ELpjmO9LLvRgrEe8+oYl3vTiDt/3Gk2StDm30KTbr9EbBvSHfsbaisFI0B8LhiPDYKQZjlPGsWEcaeaPn+VDH/nc7DhK/59//O0v93q9wftarW8eyL9pAB+PlhCkP3ru+FfeefrwFzaYpEe95oPQaCMwGkrLTyGEQEoycINSBk8ZfKWp+4KFQZ0P37mNLz3W5aXXrvADr17h2l195qYbLK406A1DBkM/A7ay90gwjiVxIkgSu9Tb2i0bVHoe1AJo1DWzrZitGwYk9Dl4OuYv765x5GST6bDOzVd73HpdlwcPdLjjq21uubzGJZsHfOhOgRIh7VbMSn+MNqAErG8P6PYCdFLnTS+9wIc/22D3+RpvvGVAFC9y91NzxGmNF1y9gTfe3OXy7R2+9OiAJ082eOJowLZZyWxb0AgFgW8vQilACIM2oLUhTrKLNTaMY3shjyIYRtAbCZbHgqUeCG/EDVeu8AOvXeGlV6fMtessdxt0enV6g5D+KNPbGTkMxpLhCAb5hTNKGY01o8gQJWCE4tx8lz/7yBc2RAnv/MdvfIk5d2H5jzZtmPlfA+B64Z2cWthD99wnfzgaD9+9fO7ZdYoV6rUAEaUYKECGwAJbCKSQKOkhZYpSIlueNb4yhJ6h7gmWR4rFzgwfuavJA0/3edH1K/zAa1a4YXeHubROkoQMRjX6Q5/h2COKFXEiSVJJqgXaCJsFFYYw0DRqCWEQEfhjTi+Oue1hyaFTAUdPzaB0yO7NAVftUty0p4sK53nqcIut0w2uuRQ2rV9mqdvm2q2SRBs+/1DIeCCZbia8/gUjPn13zIlzLa68zOfsyohnjvhs3zjD9bvmuffJHvc/IxhHAXt2zbJne8iebT0On13i0Gl4aF+Dg0eaNDxB6EmaoaHmg5Q2qDLGXqxJClECUWoZtzsSdGOIdII2I55/eZcfeG2Xl16bsnk2ZDSaYrFTo9cP6Y8CBkOP/shKkuFYMBxJhmPbNzoap4yibGWIdLYaGsYRJFpx4myH9//lnRueOnTh3c1WM/nd933mg3c9c4a/+q0f/YcL8H/1zt9DzH2cetd8n5ec/J1B99x0oHxajYBxHGcSxJ4kmT2XUiIlGagVSgk8pfFUiu8JAk8T+IbQNzSClOmaoDf2We7O8NF72tz5xIiNMwPe8YoOe7aPGA37XLPLsH2TYhz7pGmZ5hcYpNT4Xsrx84aj5wQrQ80n721wemEGE/nM1BRb5jx2bPK4dCtcs7uLlgu899NNlpamuGWPxzW7O3zpCYFIfDbMSJqNhEEcII0EI1FeQGckOL8kuNo0eMVNPe57tM6WdQG3XDPLP/2OBT7w2R4P7W/SH/ksrrTYtaXOlZsHvOCKHt/5sh5nlpb45L0hi4OQ42d9Tp8O8JVASolAoI0h1RBrQ5poZuZirrt6wHgcs2f7mLe9YsyGKcVsKySOa5ydrzEYBgzGdpUbFsCWFtxjwWhMBuactdMM1BbcwwhGibArRepx/lSPx499dd1luzb+zi03bIj/6reu+vOl47/B7I5f/IcH8J/59b9k04vfIX7o59Xbt7af+sN3vOyJxtU76nT7TYZjg5I609dlECmkQUqFlBIlZQZuiacEnifwvZTAEwS+puYb6rGhERmmaikzdcEgkvSiJkdPNXnXn8+CThBJwk3XDdi1KSJJQBuNMTaJI4VAKoHnB+w/EbD3UI1mzaMVSNY1BOvnJBtmPbasV+zYnHLljhVSscjvfqzN8RPT3HKFz56dKcOkx1efCpmu+8xNGaZbEY26lUJaSzojxVLfsNhJ6fTrvOSaFR7eO2DfCcV0u8YLrp7mx9+0yO99HB491KQ/NKz0PM4vtdm0rsGGmRE75kb8q7cPaDc6PHkU9p+U+L5BKYMQGjD2fwaSBHZuSnnRtQlp7BMnIcY0GEU+5xYChmO7oo0iVci3YSQYjQWjyLK2BXHKeKwZR5pRrAtgjyLDKIZRLBhGgn4s6MaCTgzjwYhx99Hpt9y87g//2/yFZGj+1UdWTk6b6e0/8w8H4L/ym3/B1dvb6stf+tO3Hjq58sE/fWC59vi+ad71012u2K5RgwSlakilrTuiNEr6WSBpUEplelvie1ZzBr5i7EvGkSaMbJBTjzXjWBNFhnYC41gzTiBKBKNYMk5D4rTGvkNNntgHqTFYaFtt7EsIlK35aIVwzWZo12GqKZlpKeamPTbMwiWbxmxev0Jslvjdj01x+MgUN16quHSbZPe2Zb78TML5xSlu2iWZaWtqwZBQhhglSFKJMIYkjVju1zi/6HPjnjrPu6LHvY/W2DgjaNRa3HiF5ufeusjvfFzzzOkWK33NSk8xv+yxbrrJTLvOTHuKdiNmfTNmx40RoZ/gewlKpYUDZbAXVRwrLsx7xIkiThRRrBjH2WMkGceScSQZRZJxJGyAGgnGkQ0ex7FmHKVEUabps6ByFFlgj2IYxBbcK7GgFxnS0ZDn7VjinT+9wKuuPttYWap/MBZ/qMf6io+dPvCBdOsVP/KtD/B3/pe/oN0M1VNHLrzt9Ikzf/zUvhM12Zrhcw8qfA9+7Sc6XLU1xZcpSmqU1HgywJMGpTyUNPjK4HsK3zP4kSTwhT0JvmAcKKLYAj2ODVGSWlckce4pJKkhTTWpxuptTQFuIUBJ8CT4PoSeoBYKGqGk2VBMNSQzU4INswk7Ng1oNVf42H0Rdz81y8pCm+suUezY7HP59hGpWOHzDzVo+h7rZxStxoinDsOzRzyu3W4YjBXXXx5z3W7DubMp88sBw1GDN9zc4ytPDjl4WtGsS8KgzbWXan7thxe565khn75rHYtdw44NKcsdj+m2Yqrp02r4NOuGWqgJA03opXjKSi2ZtVYag01YaUGiJUkqSBJBnEiiRBDHknFsnZcoFkSxIYpgHKdEsSZyiGMcu/eMtTNw92LJSgyDcYJMhty4Y4lf/YlFXn8zdHrTdHrHa8af+lMZ1P6JVrN/ffTpP013XfuD39oADz0tO93O9xw7dvp/7Nt3vDZX9yGS9GjzqfsF0Vjxtld2efuresy0U3qDGkqmKC/F83x8L8X3PPzYI/QUIz9jG18SBYIoFvbkxIo4gSiW1kFIStsvSTVpat2F1GROSRbI5u6Mklb2BJ4gDCS1UNKsC9oNw3RLs3F2zPqZHolZ4SNfkXzgs3NsqNW47hLBJZt9dm7R7Ni8zMe+alhaqrFnk2KmDa1GzPljkgvLIcEuGMeC9VOS6Wk4eNSw3NWcW6hx+c4ar7qpx2331JhrQRgEKDnNtbsFP/HGC/jyAp+6d4ZnT9fY2I3ZMJ0w1VS06opGXVIPPcIAQh88zzpMeRxTgBx7Yaca0lSQpGRAhzi1Lkgcp5YUYk2UP8aaKIZxkrsymQWZCIYZa3cTSS/WRKOYqbDDd79hkbe/os+rbxB0e00GwzpxEjLoHa2pMPhDrx54Qvh/geWZb02A/+EHP06a6h9+et+R3zpw+GS7UVOI2DClDQaPgWjx+Yc9vvpMjbPLi/yzt/aZacfUwoTeIMH3AnzPx/d8gigl8j2CWDGOJZFvU+mWcYRlooyVkgTiFNLUOgla24BLa5P3cGbgtgC32l7gexYgtRAaNU2rnjDdSlg/PWTdzAr37Yv40zvq7D86zc4pn92bYNumgG0b4cpLugySLg/ubVNXPutnFNMtmG6NmZlKCAIPIezFNRwHLHVjVgaGTj/hwnLAJZtavHDPBe54aMD+020aYYyvAoSYYvdWxQ++ZoHnX3mBP72jxYNPT7PY99jQTphuJDRqknpNEfqC0Jf4vo1VlMqC9qyv0jpUxq5eGdCTVGerW2YtJpokteBOYogSU95j68qMEksqg1jQTQS9FEbDBJ0Mmav3+NnvWuBffu+ARhjS6TYYjWuM44Ao9klSn87CiXbYVL87u+GaYP+Tn/jAldf/4289gC8sdVBK/djv/9FH33n46Ok5X2UH2RgMGikESnj0ZYOVkeK3/spn7+Fl3vSyAa+4ocfGuTG9Xp2hFxD4AWHgM448wtjae1FgAR7Hkiixy26cZJ52Smb9kTG3zBJHGbhtkjJjbvCUTZgEvqEWaOq1hFYtYaY9ZvO6Luc7A97zSZ/PPzzL0nKTy9YLLtkg2LohYNsGwa4tI7xghQ/f7XHkZJMrNkpmWpKpZoqUY07PG0JPIoVNXkWxx44NXR4ipTtQLHcN55fqXLGtxne+osNffyng2PkQ34sRwkebJnEiuWnXMju+t8vnHx3woc/P8sixJltnBOuaKc1aSi0QhL4g8G2s4ils4CxFUZNhsBeZNlinJbWAz0GepFbSWbBDlNosZZQnjxLBMIFeIuklMIw06WDMtnU9Xn7jMm9+2YBve77GE02WlmuM45BxFBDFHlHsEccKbSTdlVNz7Zkd777yeW9V0bjzviD8nzNx638KwJeWOwSB/08/9dm73/nwY89skBjbzSJK9pSAEhpfCHqiRjfy+PCXa9z1ZI8b93T53tcMeOMtHeamQ4ajkOE4IPR9osS3ByoLlJJEEaeSJJHEqSBJJGkqSLUotbYWFKrEUNiRSlnXwVeawNeEQUo9TGjVx6yb7jOMh3zpKcNffnmKB5+eZibwuXarYfOsZONcwJb1km0bIy7dusyTx4Z88ivrmVIe66cE7aag3YjpDFI++9UarcAghAXWcOzxpheN+cwDtiam09dcWPbYtqHFW17c58F9PfYeDGiGCUoKC3LdYBRZrf+Dr+pwxeYLfPiuLvc/O82J5Tqb2oKpmqERaGqeJvDBUwIlyRJk9nvn5Uc6k2palytckgHdEgTEqSBOM2CnglEiGCSCfoqNeaKIZn3AW163xPe8pstNV6RsnPEZjpp0eiFRHDCOfaLII0oyYsrzDimcO/3shrCx6Z07LnuZHg467683vvEg/4YCfGlpheVOH2P4oc/dfs9vfuq2L851VlYIA0WqTSYJsnR7zp7SEEhBX/n0fcWpbsiZBxo88FSfv76ux9teNeT1LxoxOx0QjUPGiU8U+8SJR5wBPUkVSZofuBLg2mTMrcuaMiFMFlTaOg7P0wR+ShjE1MOIVn1IypAvPir58zunefroFCIO2Tlj2DxtWDetWD8bsGmdZMv6mEs2dTk53+P3P90kGdfZtk0w3fJoN6HdiBF+RHfYZLplEEJgDMSJZDZUJDqhFwf0BinLXcXp+TpXX9riJ//RCu/+i5Dj8008FWcXhkeS1BhFkk1zITdd1uW6S/s8c/w0f/nlOnc8Ms2ZTp1mqGgF0PQNgWfwlT3GSmaSzDlfGjDaXnSpFqQGklRY/zwVRKlNEg1TwTCFYWJIkgQdj5mrDXnDq1d4x6t7vPTamKm6TxQ3We6EjOOAOLZEVAI7J6T8PAmGKx32PvnlDUkqf3PnZbcky0un/iQM23wjgf4NBfhgMGR2uvnmr9z30O996jNfaPd7HRpZXUmqRRb0ZMGPBCVM4V6EqaamBAMVMEg8LoxrfOqBJnc/PeAFX+jzz7+rx1WXdNkwrWg3PKI4IEp8kqQEeZoDXMus04esTzMHd5bqV8Ymi7yEMEjwVUR3GDPfjfmvH6tx9MIMj+6dxuiAubpgwzrDuinBXFsxN+2zcU6yaS5h6/oBc9PLfP4xzSPPTnPdNsFMS9JqSNoNTbMeIfwxYejhKfv+xkCaSoZjj+EoJtGC3lDT6xuWuj7nFtvcemWfF169woe/UKO+pPBkbAFpPJI0IIptj+e66RrP393n+Zf1eejlZzg+L/nTO6a5sNLg1GJIoCRNXxDkMkyaIpFmU56ZVMEyeWIEiYZYC8YpjBKItIE0gSRGqjFbZoZct8Oej5uvSmnXPZLEMvY4DkgSLyMglQFcEWcZ4zxrnCSCRAu0VgxHPZ5+/M45g/d7O3fftDweDz/5jcTkNwzgBw4cZOvWTeqPP/gXlz397P72sN+hUfMynQeJtmBWqUAlmb8twUsFvjIEiSFMBQ0lGCrBwAsZpj6LUZ07HpnivmeHNMMx/+TbOmybS9i5Zcit1/TwhG0RE8LKFZuVtLXStlgrAzc2caSE9cwNCciEZ45KHt7ncduDLZ450SJKGrQ8xfq6YbZpmGkY64O3PWanPOamBZtmE7asH7J5/TJ3Pz3mvbdtYPO0x/o2tJuKdlPQaiTUwzH3HVCMIg+/aUFljCBKJDVPccMVQx54atoWPg1TVro+Cysh5xdm+Mk3nufUwiIPPL4eXwIiRkMBoHEk6Q89Zlo1pttNXnjFgJdfN+B7XznPvpOazzxY48F9dQ4caZIIj/FYMYgVSkiEEBOBZ5YTMJpEG4zW+CJlKoioEfPCG/vs2jxi27qYH3j9mHogadZ9oqhBpxdkK6mXEY4qvHZ7lxVwx4nIHJxcRir6iz0ee+S+9tmzFy571evepo4dPZzu3LX77w/A9+3by7r1s8EjjzzyI0rp3+r3l2k1/SxSF6TSoLKo3QJboBKsREgNXgK+FPjaECaGmhI0UsFYwyj1GaY+g7RGr5fymx+ewSQxG9ePuPqSEXNTCW971ZBLNkTEscj0tgSHucmlkdQIKfjoXXWePNxEeB7HzzQ4fb5Bra6YCgXTTUO7pmnXoFUXTDUU7ZZipuUxNw3rphM2zo3YuqFLalb46FfaDPtNLt9maDcUrYakVde0agm+H/H5B2qMBxJ/g407conSrCve8IIh9zym6Y8l/WFKd+Cx0vM4t9jgql0t3vbSLo8+0+D4UgslNRBnetknTq2bNIok/ZFHpx/Qqjdo1sdctW3ELVeOOHmhw7GzK3h+yhNHPP76yw2EsoVrTM4fNBrQYAxxlLJjY8I7XjVkXTvlyh2GjXOQJj7jqEWS+Cx3fZJYEadeFgdZpk5SC2wbE2XAToSNkzJgJ4kFd5LmYA/onlumOZX81uOPPTrYtn3HB/bv2xtdueeqvx8AP33qFAsL81ecPn36PY8/9ois+QpPSZJEk6aGVGW+a87iMqvW0wIvsToxTg1+CokShKmhpg1JKoi0IUoFYy0Zp5JI+8Qa5vttvvykxpDyiQftyAaMzu55Fi+zyERekSiRSpHEHlJ7+J6kFcKu9Yamr2mEmkYIjVDQrEtadSuHplqSmTbMTSWsnxmzZX2PlGX+69/UuPepDeyeg5lGxt4NSaue0KhHNBtD6vUGoZIomWlwrByIY5/RUDAcp/TGiv5I0xtq2zLXDDh1foqXXD3m595+nt/+a48TKyFCaIyJ0akhTnyiWDIa2zLW1tCjWQto1Gs0wga1MKZVj7jp8ojAj7n58oQfePUATyVZEkjboN8V5Zmk01oihCT0FRAwGnssLnu2bifNY57snsgyBkpkobFzQMfJ2sBOUgomTxJrRz740MMySeV7BoPBV8bj8dPfCGz+fwb4Hbd/glZT1Y8ePfTWAwcPiTBQaCNQiUZJQZr7rMqg0ozNpcFTNlIvHtNSylh/Novq88hei/K1FkRakhhJqj1iHZJmtpd7K7KUAjwhbKZSQa1uqHmGmkoJfQg9qAWGeiioB5JGXdKoeRbgTcF0SzPbTpibHrNhts+WDYu89zbNh+7YyPZpxbqWpt1UtBqKZgMa9ZRWPebsoubw2ZBaYC9oyCv9BKPIY9cmzaZ1I7qjgOHIZCwuWel5tOo1Wo1pfuDVFzhy9hx/+MmteNLDoEl1SqINceIxjhTDyBZFDWqSxsijHvrUw5ROz8YYgZ/ahJmf4knbKCFlWtT9CJHVrdgjloFc0NFZlaW2cU2aSrSWJLqMdyxYy8AxqfysBHYuSaxDY5k7TcmyzFnCKYXHnnhC7OoO3nrJJTsOf/RvPjb8ru986zcX4DMtL+j35n+x3z3/i8KMZb0miRNbBahSQ5LY0tY0NaTSkCirw1Nt5UmiwUutX53myQdtstem+Fn5vKyUs16uKAIlV3MDlaDWkxpPktW0gK8Evmesb+wJaqGkFkjqoaJeU7TqklbDMNVMmW4lzLbHrJsZcMnGRR48MObDd21hphaysaVpN4QFd13SrGmatYRWY8yD++GJfQ0uW28y3VumzYdjxc1XGi6/ZMhDT08zGBuGo5T+0MtA7tOo1anXpvnuly3xxIELPLB3ExiF1qkth00MSWyKepLh2KMxMtRrilqgCQOfMEgJPY3npfieLTFWyjaMSGmL2xAGQannyuDclhDr3JHSuW52rNgc2IXkyF9T0do5aycZsNOcwFKyrLN9PlzpyxMnTv+KkLWg2Wz8OhB90wAejQcyika/etcX/vxf9Dtng3roWXALm/pOpEBKYw+GzFlck2Z9hKkyeNomGOyBM+iU4nmaZ9xMnnkz6CwTlycrbOII5/RMArxM6CiZZSwVTtGWzf6FgaIWKuqhoFEXtOqGdiNlqpkw3RozNzVky/plHtg/5Ff/eCMnTk1z6TrNdAPadUWzrmjWoFlLqddiAn9EZ2RQUuErg5TlJ7MnXBInAe16zCDRDLI668EopTeQdOqKRi+kFrbYuSnm136kw7//oOSrezdiUGijs9UxIUo0UawYRYphKKmPFbVAEgaGMFCEnsb3rd/vKWMBrizAVSZThDDVBt0stW8yEjFZLUuaAT7V5aMlI5k9ihLgumTqnL1zYKdp6bnnq3ySaOIEDh89FQjV+Nc//ZM/5Pf6g3/bajb+zun8vzPAx6MuWse/fnjv3f9nZ/F4rRZKZJzXP2TdNxmoUilIVAZkJdCpyQCcZdJU/lqgtSnSyLrwaMFoY7vIsxJQ984EwHO/XRR2pP0cSllJ5GWtaL4nCQM7AKgW2pEM9dDQrGlajZR2I2aqFTHbHrJl/QoP7Bvw7z+wjv0nZtkxax2WVl3SbEjL3nVDo5bSqMXEacSffaGFVApfGpQobUJt8iXc5wdft8ztj0T0otBODxil9IeKXl/RCT1qQUjot7lye8J//NFF/t0HBPc/vRFtJKm2afU4sYVm40gzrtly1zAU1HxBGNjMZuCZImPrKY1UNh7KcxIFwMuUJ5CRCDaXYN2WLJDPAZxNHdCFK0LG7hQrbrE6O4+JzjOn2eqe5sVxGm0U+w4eq336s3f9X2/5R68RyyvdX5qZ/rtNz/o7A3z+3BGM0S88cfTRutYRvqfyDHgGLJtFSzONbfW3IC3Swzm4KcCuHYa2zykAb20/k7E2ebkzZuJzFe+f15k4F1peR24BLvF9aes3AkEttDNPGmFKs27B3W5GTLeHrJ/u8OC+Ab/6/lmeOb6ObTOCuaYjTWoezZqtX6nXEuphhO+POb04g68ESurMliuDzDSVJIli84whSWK6cS3rlNEMRym9kaQ+UNQCn8Cv4XtT7NmW8B//6Ty//EfwwLMbSLW0AE8NcZJmTK4Zh5paJBkFqpBgvg++lzlXStpcgCSTKdjae1EeQ5c0jMkywTpj9VweZsmhPFucps7PdSk5S2CbYiVOc2BrUy0TSAyJNozGY+657+H6nit2vlBKyd/19ncC+NG9n6Ye9BsPPfClYDzq4CmbNTBZUC7y9LC0V3MO9GIJk5apU48C7FVg5zLEFEA3uRzJn1/ks0lRFlHZzyAKcCsps0aJXJ5AzYcw0NRrhnpo9XOjHtNuREw3h6yb6fDIwRH/7n0zPHV8PVumFeubmqm6oFWTNGqKRl1Qr9mLw6b6Ix7YK+iPAmqK7CKzGjxvQki1IE48mjXFrdf0ePCZNoPYypThOGUwVPRCRRgoAj/I9PM0V23X/MaPX+AX/gDu37uBWEtirbNm6bIHcxxIwkBb9vbLOnpP5XcymVLKOJlledcCeZ4UMjnAM8CnhfPCmiuvzmIprSdW7SKmMgWD59WfaQogWVjs8Cd//qngTW96Y+P9H/rM4J9+/7f/zwd4f+UIjalt04ee+ujv+7L3MiUTUKo4KqLQvQYppdXe+bIls4Pg5UsaaCXWZm0H0LoAdtkUTKa9i5MhRHFxFX2cGbgtwG3bm+9ZJgt8bCdQkBVYhSn1TF606mOmWkNmWl0ePzTm371vhieObWDTtMf6hmaqDs2aoFlXNOqKRsHeKbUwodUYcfcTASudGjMzZZo8B4zOtGmcKjbMKV79vD53P6xtF02kHZBLar6k5nv4XoDn1ZFSc9V2wzt//AK/8AeG+/dvINYecVYBaMteLZOHsSyqCwNP4nlZEZYUKC8/NhSfL78Ic6kiijW5TAhN3rXzqLXzWKy8zmptjAP2ktyStHydOOZCHCcsLA9ftu/A0T/62Z9420/d8vxjK9ddtfN/LsC7K2fpdxd+obN05Hvi0QK+FxZ+qkgtuFNpkNouzanMlitVXuGpFmhFcdXbCU25DKFg70ogOcncGdLzjFyhvWUZA+S6O68Y9BS2PsMz+L5tLK4FmlqQUq8lNGoxzdqYVmPE7FSHRw+M+cU/WMfjRzayYdpnQyNlqmEycGfsXZPUQ8v+tTChEUYkekwvChFK4ucMXmhwkbFbViAW+zSDkS0XiGrM5CAfpQwCy+BhIG1NvJdvQGu4dqfh3T91np//H5r7920k1h7jVBClOmNxQS3WhL4h8G3vqpfFHZ6yJcK2DdAeJytThLMC2qNaXJhurDMB7oKEHGJywV3GVabIbOekVjB4BvDSSbNy6NTZRZ7Zf/R77r3/scPjKP7l/6kM3lk6RXt6645H73vvdUuLFxDCy/xdjch7GnX+iHVLpCk0We6IFMtYpt10sWy7B0w4TFFmJY27Zuas7QaVopRHXjZeQknbBOArC+zAM0X1YM1PM90cU6+NmWkPmGr2eGBvwi+9dx2PHdnI+imP9fWUqZqhlYG7XrN2Yg7uephSCxLazYi9xwx3PdokkBJf6SyIKz2KfPmOU0WiPV5xU8xll/Y5fKLO+gZln+M4ZTDKWNhTeF7ZxieE4Zod8Bs/scAv/4HmK8+sZxTXbTIsMTSyGu7Qx4Lcy1cvnUkUiVRpscIpKRyACwfkrNIrJchNFeBFhWK58q61Mrv1+QUuHEvYfe37ijOnz3LXPQ9f96u/9BM7Dh09dfyyXdu+8QDvLJ0lqE3tPHnkq/9lPFx5c5oMUVKCyZMFGbi1tPZTtgxrmdl/xi1fXb2k5f6wKTztCZdklVuSMfckuIVBqjJbapNKGWt7hsDT+L4m9DVhkFALEmphRKM2ZnZqwHJvwD1Pw2/8+SaePLSOdRm4p+uGVl3QrInCK7fOi7bsHViA18MxUZoyGtaoKXuRSSEqlXx5IsUGmp7V8t6YcWQYxsIBuCYIUgLfw/clnlJFr2q+al6/S/AbP7XMb/5Fwv375jjTaTNqSqZTQysx1LKJA6FvMu8/d1JMwd65VMkBXnze7EO7OC8UYnZS8lW1BHdVUtpqTorcRX4BWLJzHDPDBLNn51wIer0BFxaW3nz7F+9PX3Lr8/6vEyfOHLvkki3fWID3OsfwhvVbluf3vrW7tB/f9233O8ZOgRIWzKqw+/JgUhRDInO21hnQ7XJtsgMgnANT1XzlraoK85Ngxz242j8DdzEcyJbF+p7OxkykBbjDIAP3bJ/55SHv/LMGn/zqehb6M6yfkqyvZeCuWd3dyALLeihphCZjcKu9a2EERNz5eMByHDAXUqnHRlRXqDS1zQ/t0ONVNw54YH9ELw6ZKjrWNcHY1qoHngW4pwxK+ghpEzQY2LNd8tv/vMtnHhjy6+/fyKmFGYbTHtOBoJVoGgmEsR29HCg70MjPA00piiA4f3QDdffCFKLoFanMr6lISBfYTvxUia3cINRl9AktX7QWCsWjTxxi25aNb222mn/W6w+PfUMZPIn7KK9x+fmTd/8fg+XHqYcgZOm968wVyTNfymk0SLNuGsvOotDcxWMhQUxFmlRY25Ul2YHOmaUcM2GfqxzgyuBJC2xPWXD7XkrgpwR+Qi2ICYOYVn2I5w24+4mUP/psm9vu3UCk22xoC9bVrCyxFmDuk6vsLjLmdtk7xvPG3PfsNIPIY3Mj/zyTDF4emzhR1HzFC68akmgL8GEsbNd63rk+1jY49ETG4vZCFlly3SBYNy34nlf2aYVneP9nh9zz7Bzn4jqDmqSdGJqesSD3sjhEmSwuyYrfZH4MRVk7LkFSsvjkjoKFVMlHVFDV5W4c5QLb5OztAtoBeI4DXQAcUhR33vcM115z5f/xlm9/yWPd3uBg++sYCfc1Ad5dPs6FE5/BD6a3DJb3v1yYBWphYMtNc3/UAWrO2HkXd6HDnN9V5EiutSm1dglsx3pw7SthJqRJnpWzFYN2tJvOar4zcCtbixH6MUEQU/MjGo0RQTDgz+/weNefbODw/Cx+WGNTSzAbprRDQzOEZtZhXw9ttrOWJYRs/UqarQRWnix0U/pRQKAUgTRFgInzVfKTl9duRIlP3R+xaXrIyqDFMBbZuDUbK/h+mtl8KrM7lQV4JXC1lY9vfmmfm6+e5zf+dMSHPr+epaTJIPRp+pK2Z2twQg8CRdEM4eVJn2zlk4VUKRNALqlUxYoLdCorcBXsrjbnIuAu4zFXptp/XnHyXIe7H9j78v4o3TK/2Dm47+AJ9lx+yf83gBuTMr3p1Tt7i0+/t7v4DEEAkFDWLOTeaAnsag2DKANJ53d58Kjdf6P4QmJCmuTgNiWbZNk36QJcZgOEKsydZiBPCDwrScJgTOgPOXY+4Q8/0+TjX5njyPkZ2g2f2RrMhCmt0GSp9xzcMgO3LJJCtUx7h4G9cNrNMR+7z+Pg8Tq1bAJX0S5GifJijIOxOjxOPPbsgO+4uccffW6OfsOjnc0eCaMsblAaz5PZhC8ckPvOybKrwiXrJL/0/QOu23WKP7htliPnplhK6gx8j6YSNDKgB9LYCydzmYrVz2lKESKbEJn3dQrIy7LKNdVZafPSicI3X20pGleO5LVEk0xPyeQFMeBx38P7eOktV7/3e/7xi79tYan7NaXKcwI8SWKU8li58NVto+4Tu4VZJPRVZUnKi3Jc4ObFOQXoM3AXtQ1aOP9d+e/k/2bJCjltm4oOzIEtsklYUuYA15lrkrN3iu8ltnPHSwjDMYE3ppdGvOcjAe//zCZOL06jVZ3ZKcVsYJgKNI2MuRtF+l5mdSqZNMm88wLcgc1ejuOIg6dC+lHITJi5OMV8RYpEj5vsSVJJHHu0mx67tkWocEQvajEMBPXYjkULMnnlZxLFy10PoS4SvCrWTw34yTcPeOsrzvH+z3T5w4/OsTBsMvRq1DxFwxPUla2/D7JuHyVFlt0kWw3N2kzOGnJl0mEBzJoAd1h6FZsLB9gTTG7HM3HqfJe7Hti7u1avbfv2V990LIpigsDnYrfnBHganQKvvd73xUeS/r1+o54XxYvV4K6ws8hGoonyC2n3d6KsPa4wtsCs+UmMYweaAtgVeSKzKjllBwh5XoqnUgI/phZEBH5EZxRx35OSP7+jzUe/MscobREEAXOBYDrQNANDIzQ0ghLctVAShpIwkyY2MZQ5ExnAA99mPo+eNdzzSIMo9gmbZlWAmd/KdLYtRY1ihe97vPrmHh/+Yp/9p5oMa3Y0w9g3BAn4scaPNEpJ61tLO5C0GO5DeTxTLUm0pBF6bJwe8vPfPeCqS8Z86I4WD++dYn7YZKQCfN+j5gnqEsJ8wFJur0qTDT3FAXm1ZmWyOMtl9JygcoAW33sC3GYNBq+wOk4GFdAm4K/ueMp/3atf8JEz853nLS735//ODO77szIePHlLsvypqUawgjZ+UVkGJWBdYLtAtj+XjtaulmLmsqSoRXYYvFL4Y3t0LJMXKWVdlHta3W3wVGoBrtJCjnheTKcfc+/Tgj/+XJs7Hp1iqdNC1mu06opp39AONA3f0AgM9YCMtS1z10NJLVDUAkEtIKvQ0xm4NaFv9bfyxhw4Bac7NZtYyfRtNXFS1s/YPsislFRLoshjY1tw+fYhT51IGMQ+42zGdxBhwafyybp5ogbkRGdO6VJl8ie19eHvePWQ179gmS891uODn2/z8N42i70GHRnQDzwCJQikIJTYHk5pd6lTorxIVWYHrxVwrqpfmWTyHMwu0FktUdLcYcqfY3tFXbCnw4j//Kdfmvq573vFLa96wRWf4zmGBz0nwIU5Gvp+9D+i9JlmLRyjdYI2KmNrWQFyAeZVTC6rbK9zHeoAnAlJUn4AR5qUgznLHR50prm1nYYlU4LczZAx872Eux/x+Oy9LT55zxQXuk1ErYbf8ml7MOXbTp66TyY7oB6I7C6zktNMdweCMGfvHOBeQhAk1IIIY2LufDTk+Nk662YFvtSZjhVlo6/DdkX5aSYphmOfHRsFr75xwMe/GtGPfYaxoObbftUggXFsnFVKFX41QlZkir3LslFBW7+9Ho55xyuHvPbmRT7xlR6fubfB3U+2uNBpMBQBw8DD8xWeELaFUEp8YTKpZVAIRxpW7cM1yLzC3PmjQaxi69RAigV0kv0sKeSJKZJIRcdWmvDU0webo9FL/seje09fBQz/1gBf7miWh4PvSzp3Tq9rncbEIVGssnHDCqNzgMsCyNo5uBXpgrDLVRFMigLMFuiOTZIdIncZFA6whdCZHagR+SxDLyXwYmq1mNE4Zf9pOHZG8ZdfmOJzD7e5sNwEv4bX9mkoScs3tDxN3TfUfaj5Ftw1384ktGWm0rmL7PcmA7kuQB74tj3t8BnNU0dD8P1smTdOil5UUOAGYWnRl2jHOV+7a8zV2/rsO91gWBM0EkEYG8aKzNrTGXvnbkpuQZZapfDZc5tWq2z6gM8o8qnXx/zwG8a86dYVbn+kz199scGxMzX2nW4QrYQkocfI85Aqm+oLeNljzuSFdKEM/lcxueum4LJwyeQuU+fDiAx5SjvP9mTtiDovKE/pHF/mqacf4cy65nNx9MUBvrC8LKJo/HO//ycHpndvafDCyxOef8UYzxdIT6BjRRSpYiNWnW+lje38wJUtSMp0e8n47oFwD40Q5aPIu01y1hY62+UhJQztJNUkTTm3CF/4ssfhU3XuerDO6eU6h880IQxRDY+ap2h6hqanrYvg28H5Nd+Oa7Mgzu8yu6sM4GSaOwO3nxL6lr3thRVxdB72Hmvgy6o9WEgUynrwIogqkmBZX2Pic/WOIZdvGPD0kYRB4tOKBWMPgsTOBFQOwKUU2V5GJZPnTFlacKIIZvM+yjj1GfsB7XrED75uzEuv63J6ucudDwUcORly+6MNzizWSIc+WnrEgUJIaVeKrCtfkmU8oZAtOSFNOiu5LKsGjWW2s7gq0SVLF03QKUQaYo3wEqRKecHVY154+ZBXXXPnule99hf/j//7nxx8t/AuXzN8uyjA3/mHnyCJEz76qWUwG9m1JeLaS8e8/KYxV++K2TKTsntnhEKSRrKyJFqWlhX5YgFdau/yKLiBZZ7IMRPM7UgRleKHKXFqOHJS8NQRxRcebPD00YBnj9bpjkPGUQh+gGr7hErQUNDwNHXHBw69vE4jL5u1deFhJkuCQBEEMrsATKm9/dRmFn2r82tBjNER55ckYxPieZJAGjzHZpsg8ALkqan2O0aJj8Bj/WyEVCP6sc/AE9bpiMuCMU/pSgZS5iY1QD7sCFGssnlrWT4YyU9VMX5iMA7YNBNxycaYmy4dM4yG/JOjHZ4+FvCFB2o8dbTGkRM14kRBqDBSgZCk0skGFfR9Ea0iJr54BdATj9oBeKzx0OzeFbF1JmbProhX3DTm2ktjdm7SBCpq6u7t3zPGe/ffisHf9Ue3c36xoz795SfEMK0Rpx5PHEl46nDC7Q8kTPkJl2yLuHZPxOtuHvOqGyIwKb4H9abBmOxLa0ESW/DngWQuVyYapLLaKfvlhbR1IwiNkIY4MgxGltGPnZL8xR0hg1jx+LM1Dp0MWegHjNMAvACUj2orAimoK2goQ01hx5mprPBIWdYOfGGTHi64fUmQyZIwgDAgc01sytz3NIGfZBnRmHot4sJyyhfub9HphcxMCbzMi8+LvibPe3GutRMQasl4rFg3p3j9rSNuf3jIiU6ToS+tTPHATwx+nHvWmccuU2sX4s46kcV7aOM572GBHqSK1FMkvh37EMe+tVL9mGYQ89JrE1541Zi3vHzEgZOSJ/b6DCPFh77Q4Og5H4RkMPRII5WXb2K8HOATllEO8Aqwc1rXiNQgtMFkcqTeTPB9jUDzqhvGvO7mMddcGbFja8KUB+vaAmM84iQgST3S3rNC1F+suuf+OmlvetvXB3ABbJydes9wkFwfqxp4GnSC1gnzw5T5XsLRpRr3P635yBcT1s/EGG248YqId7xmlDWVGtZPaW64NqJZy1YcI4olTKzxrvlwns5A8MSTHotdSb0meXCvz6e/UmMUK0ax4uy5AC08YuOjhQ+ehwg9PCkJlKAmDbUM2KEyhMrYGnAv83y9krmDvC+zALfKejRFwd6BrwmCvEArLdg7CGKUivjyY4qPf7WFCjxrt1X098UZPPfC0zR3PBSjkc+bXjTkk/d1+dCdU/STGs1Mh/u5Do/zpIwpuoWEkAXA7FtJR+s7ANfZdCnPMrnvKRLPw0tSC3SVopQdpD9TS3jRlQm3XhljxJi3vXLAKLbj3D71lZCH9gbUQ8FCV/HE0wHdgcxUkljzDJdJACtNmjXNDTdErJtObW14anjHa0bccHmM0bB+2jA7Y1BIwI6tGA5tBabWiiQVoKLr683Z9wA/+XUx+Pxil3Wzrfav/94nrpQ6UaEnifEw0sPoFFQKJkXrlLFOOd9JOb9il5QDJzSf/rK9Ek2qmZrR3HJ9RKtua4LXTE+6l1XmOqz0FQ8/FdDtKKQn7UwU41lmEp5tsJAeSA8pJb4UFszSEEpNIC0QAgWBKmf0WZCLsuHBs40AeeOxC27L8FlZrZ8zeOrcE0IvxpiI0wsB0bhGOCUJsrS3yntT3SymoCQvJzFWdKdrRRT7zLQU29dFBGLEMAkZJoK6Z4dg5jUkeUJLSbe8VRbvZd8jMwC0LhNwWmc9k6U0SpI0yxuobP+jhDhJUbHNJXgqRcqEbet0tmJorrpkRGSGSE/T6QgefspjZSBRhWKpBtUueZI5I82a4YXXx0zNaExiV/aaEniARmK0Io0VSfZZtVaZpFOk2iNJBBqp5Gh85bod39dO4k7X86tzDVcB/My5BRYWl9+9d9/RVybDPrOBYpjC2EgiITHGs8uJzLVSOXAnMZqOyfaHUYbuiuHsl11ndC2Au/otOzlCoPOhhWQ1p0KVQY6UmZWVgzpLO0uyjVtz39h59LJOekW29R4FuG1blyLIwB14FCWmlsEzFvc0QZYd9f2YMIw5uaD509ub4AX4UpQBZiFPxCoGd/3hfEioBZt1qaLY5wdeP+QTdw959nyLfurTSOymtLYKsBygJFSeE3CDvbx0MZdC0inwyu+6qIXxPIWf2nkpfgZ0Jcukma0bz54LnQ0OSvGEQZiUdQ3Nt79Eg0jLCcIi3z/DrD7fBSQERnvouIzP0lgSFxdmbkdn4DYCnW0aZlcijziOSBaPvrI2e/LdRierNv5ZBfA/+8gdSCmDEyfPECqDMtYS8jVEQhAZQWKU9cOLtTbf9EiXGis7umllN2cz8X2dMy8EuenkBi9CyqIFTQnwhU0rh8JWC/rSvvYkWU1F1j2eFxJ5OHNQyHZmK7vqS4DLQraEgSla2oJAO4NzEvyMvQMvRsqI4+cE890awvMIJRV5UqTnHQut4ig4pQ1lIKiIEp+59pgdm4bsOzdmmHqMUghTgZ8a/CTT4QmFs1QeRlXpVMhdKmvj5g0GwpFGGi/VpEqivHz7cpUVq6XZfknlXUiNykAu8vdGT1i5pgB67oCVECiKne1jYT64uRHXfhaZQ2dNDJ3NM8wJIU4EUeccpw99JliLQFcB/JFnTiIQdHojPCWQxmYOPWEBFGprxidGEJtsTkaezHH0VWVxei5pIoRdVvOlvLCgcs8V+97C4IsMtJkEyJ8XP8vIviwFpWiwDZSwYK+AW9rHIAd6Hnxm4M67fzxdSBTfs/o0CGISYj5zX53z83X8KUXg1nC4DgoTitTR4G7lZZ70GY3tBNs3vrjPfU+O6CY1Bp5HPdFEWTpdybIgKi84E0JTdg7lgWZetZlbh9lMFQOpsu/paUGiBF4qs13sbC1PkgG9TKbpIsEms13x3NxEBeBFYVzO6GuffuPmQ4qak0y+6RLkuSOkC7kii1JsTJ90dIivCfAPfPgOWs36Sz788btvPnsuxZPWeC8GxmtIhbW3UqPR5ClVUWSgiqwlFxcl+ffNvWGZPar8URg8KKw2laWM7XyTUuOqHNjS7iefj0JwgV3MQVHYfsS1AJ4HnLnu9nJZYjK9Xa0lD/yYwI8419E8eqgOXoCXyRPPKVDKs31iAuGWpZyqu6IvVRaeeBz73HjZmLnpIZ3lBoNE0VDgJ/a7qNTYe+wCHAvy4o3kRKWmyPomLRNqpUm1wNeCVElSpUmVIMlA7hav5eUQMgd5DmpnQpbAsnpZ0lzw9OraFfdiL0o28suhWrdUloBIyh6DDOxpti6K+s3rtr/6JWePvubezbveuDbA4yhigPl2T+gbTBoT+B6pzhqIBaTZVtFpUUtgiuxTnqHKT1rO3xdT3S7A7e7CVJg7H7mmHJDnjOXltRFZDXhe6mmbi/NOFStLVNG9UgI7b7617J1pbo9Cb+eWoGXsEtx+UZ0YI4i57Ssh9z3dQoYegRR2/nZRQVi20ZUVf5PZzLzaMmfxPIBSDEc+t14z5Dte2uMPb2sRpSH9VFJLDeOEbOVyq/50Juf0xAV1MSYH7cmi0yoHd6okSmnL6FJmoyW0U4rs1gCZEuRrMHgpmxwUVOTKxDEp2Dz38fMKVKccOwO2a6+maYqKuSGOht+u0/jeNRn86PFTTE+1Xv9Xf/OF719auEA9lIWdJ4XVblLYdKuXd2PkDFRkKJ0xapMm/wTAccCdA0A6oJCUNQ/uaIOcue0WJPlrMganaMOqsHjWDeOrKrjtOIUJ5s56NoOsvc338oaDxLnHRMT81Z1tUhOiiuylG2CWfY25s1HR4Ey062lpR2mkebDpIfB5x6sG/NlnxqzomGFaY5gK/ISCxaU0yEQURWfWLpysPZKONenUgmhB6mVjHFQGcs/203qpLEbtKSWz7LEsSpNLi9Kt7izLmIumFAfoF1/PS2S4/QCVlafSMFNWYmptRzQvLS0TtIffv/OK1921snTm9unZLVWAR1HMcDi+rNfv7+71e4R+QJLa6jFtLOh0pdeuZGv7aEp34GKIzlk7u3JceVIAfaI8s9DiE5qzHMNczvZQSpRaPKu4qwy7yYDtKVE6KYUdaDvubWOyyZi7DDA9h71DP+LRQ5KDZ2oY5aOkJJAab7JOwxHgky5Kfi/a95zmkDKA8tm9JebqS/t89UCdWAUME0FNgp8avERk8i3rwkkyHY60cqHylsJhceFIo7yLPXdXbL2LBXfWzqaMA+68FshkZQI5k1OsHsIBNyKfmPUcMsWFf6VGiQrAq51j+eRbgTaK4XBINB7u1un4Mq3j21cx+PkLy/T7I3r9UTYCwoIGbexrSbHVRQHoCsAnr1Gx1sevSJOCxV2gO+BWotT/xazDQrII2z0vSnDbIFMU3eJeAW5ZAbg7/Md221MAu8hWFsydEng2sWO7gmIMMX99Z4PFxToi9Kzv7l6EkzUo7iFxjlc+TcCt4y68aa2IY491s5K3v7rHo4fajNMaAxVQT60Wz8tZlSQDd75W6MwTzwtzLYszwYo6m3bgTqWyd4nS+Ypkiuf5MCeVa3CZ73eUSxNZNkdMMvjEcE+Rs9yES+62K5YFW24HmHOhOrYnAtJkyHCwQBKPin+xAPif/MUnUEpyYX4F38/mDGYHTxjbUCyzC2xNUE86gBOv3JNcau+JRxfQLotXxouVjC1dBlfCYfFcrkiUVwV44GUDgPx868Asw+kZ/CIVr7PnaeXuKdu58+xx+MgdLcYyQEmVZS+rF+JkBnPty91xUtw+1ozBk9QjTD3e/roRf/y5AU8eqRMrn4GUBKnO3COBTI1znIxtLxPuWqqz96ruW+QyeaqzhHXO4mk+VkJbKVT0beZzWURxQScTerysI5qsK5oE+Bos7pRMu00wRldXIZfNjQEhPM6fPcjS4rzN07gAP37iNJds39L4lV//77tOnl4oPEqZefK2Cs5UQb3qg6x9y6/T6pcrSyxd7X1xiVJOq50chywdxs6DzHxqk+flm7xm2ltNgDtP3/t5Y7K2M0OKFrG8pzPJ7jHKjzh42qMXBaC8TJ6YifLYyQu3ivDqQKNJNpJF5i7X4k1fcOXWEU8ejEh1yFAH1FJbs+1lGlwJO7jSJpbyM6jJg8ySyV2P2QLHKwab2p+pbGiTp8k6iAxSlxMC8ulaad7dXxgAZXBZBJ4FqVW1+Kr6nDUYoFjzTSlfqrKFonDPtgPGtNrTu174yp9qrCz908H07GYL8CPHz3JhYeV1s3Nzv7C0MkIpWQGcyzblSTIFetfEt5kAtcPeJchtPscFQgnsso9ROayoKkM1c5BT1kgrB9TF8yzJo8i8cAtuC+ByKJDvyhOXvVXW1xlELPU0/+1vWiwOa4jQt/JEmsqqUg7O+Rqas6g5ElmOzGVw66gkiUe74fGz39njS4+2WRwHRNJjKCVB1kNZjnzIGDyr6yHTxXkZrUFn4NaVEua88cDLpk3lQXoOdiVFxuBWEqWFi0IhU0odXrYTljIlDzzz42Gqx2atgzSpCBzArx4nkpsQfaZnZn5h4dy+e5N4+ImCwb9037PUaiHP7D3BYJww1QzWPjkumL9WQDwJaPf1BLuVGlyUIJeTEqU6mKYAthRIVY4fUw6oPSnxMkniFQDPNbcugkrf0wW4fS+vv6iyt69igiDiL+/0eeZwHaSPlJIwL411rM1ij/jsS160mpCSzYvWLUemJFpmmzz5XLt7wJtf2uWPP1dDeyFDGRBKUSR9lBTETkA3yeTCZfKJntpCqihQxq4Kdr4NxWxHy+qCcqxEOYumnExr+ziFrAI8d8RcYqMC+K//tua0hewCU4xJhocYLmvS1G4M4QEoL8DzAqT0isup3Bm3Ggp8vR+o6CAv/h1ncEIGBiZmC7rLe97uVbB5wZBfC+CyBHiR6MkBbuyc7EyK+Kp0S3xnOFCpuS17+56dWrXc0Xzqyy0WOiHUMvdEOMHYRSRK/j1dNipAPmnbmdL+0mnupnjMtBX/6JUDPnnfiMV+SKQ8hqnM7EmRuTeibMaWJVvmwLZlzPZHumDzsvnXy50VlT3PpgHrbPx1ftxdkItsF49CSmbyxK7Ok83iJbjL7HWOq4ka0zWemlXPy2ypMBa0nicJQo80SS3An3z6ABvXz+68/c4Hf+7u+bM0a6pSS1Gk0FcheM2nZTmsG1ytxdyICoNX2LtysLLESQXY1dnfboeLHe5OFdz5zgY5cyuHuVcxeD5uohw54SmbuTx6THDgeA1NiJBe0ZxbVg+68YNwXI3ygLi1KAXIcXzeYnh8WUGXpB4Yjz07InZvHrG4r45JA8viqZUpnuPilMGdW+iV1wzJ4jNYXSSc4DObUpYB3Y1tlLYXjZZk2js/LyUZFeDWomDtEtx5a50pyglKlWBWk8DXwe4iY1GZtUoZHXD+3BJ+q/1zm7a/9vGF8wePeVqnDEejTVLo1/c6izRrYfXNJ95ITKLZYaVVjsGk5hY4IBfFjgKVofUVeSIcZ0I4wWYJaMvgZKOAXR/cvWdbWisX3A7Is/3q/aw0NGdvlb32vBilYj7z1RYHF+oQlPLEd6zLygXL6nERk7fqCGJ3BIezu1leRht5XLou4o23Dnjo2QZonyS1WtxPs+xuWpVKBbAK7sttQ2lNgwlv2RiBltlzma0qMr/bY59mK4YUGavrfIU1BTEVCR+ZH4e8pW6yK99UVvcq1kpbuUKmrjLIXmsBQgsgoDfosmEHr0+T8aY01ce8vF7Ck7Yv0fNKdnEBuxawVwXCYvXzVfO7V7kLovDAJwO0HNBiDWAXbK6E04TrgDubT1hu28FqYHvlgKBixJunM5AnVp6omHoj4qv7FZ/4cpPhKICGhycFvqhKk8nP756ENQHOhP6esAxdXzxOPKZaHm95xYjP3Tfgwf0BpukzTEMCQXGhqeL9S/Z01tUC5KYCpXKGjVGWzVNp9bh2WDsP6nUWXEotHP0tnEA3IyktyBM9+SpmB7bmxya3M1ev+Dm6Ks7LBHFWClGxF+YoUsSxyHaNAG8cxYyjmCRJ7dVmJyKvKS3W/iBVCbNKmnyd8kSu8byQIqIEtVTO7g1KZLUpJbhLkOdlswbPK0coe9kmTJ6qAt0v2NrelbIBZhBExFHK5+5v8OyJBvg+QqoMVNncECe4FHLiQnZXMAfZZXlo1nxbGXOXFxbJwhNPU48o8rjqkoQ3vLjPE8fqjJOAVPoMtSJImfgsDnhYDXIz8VlQ+cWm0UqgchtOCowCaUo9XqyoEqR2ZhnqctWQk/HIJLkV+HAcn4sQ5VoKYs3HInBPSXWM1jHeBz50G56n6HS6COkVIGfygyAuAu6LXFX5FTsJbrEWyB2AO4AuWbzcgaCUJo5VWDB2DvBycmohUTLmtoxtCqb2isfyuZ8Fl56KCYOIp48Lbr+vwWAYQNNHirxyEMceXCOLWZzA6tKX16LYM1JO1p0sny3nmqii26fVinjDi8Z88u4RTxwJwQsYaUmQaXGlbdNVWRcCIqWQB6QTGURVOjmeopQu0rJ5vqrkQb42FuxSl4k2oV03JTuv2mF2Ny4otLiLC/t5VoG2+Bv7mSvZb8rv5OIu8BQXTj1Mb2kfOk3xzpybRwhBmiTFhyuDJNcJWIPF1wLzxO9dqVIF+erXhRwReVA5yeBWb7vZTKWyCsOsotC2c2XPPXc++AS4s7ufT6HNCvw9ldi7F+P7MYlJue3eOvc8XYeaB9I2NPtOCW+lNNa9uy/WuFVmapOXs1I0I6dGVGqfU60Yj3xefu2AN75kwDPHaySJjxGKofDwU4rPZLeTKa3C8tJazeRuPZFSOXNbNrev7eYGuQ4v/P6c0fPVNmPwYminmFipV5FcKaWYINASN6XgrhKoc7EUktauJnHUBTNAG4MX+nauRoTApKWOXKthdnL+xdcC+yTQK9GzsLOn802jqgdkAtgVqeKm6Z27mgC3cu5euQlqDmjfAXXunFjHxD4qFRP4MY8fk3zkzhYQgPQRQhVdRCrbSNXNurqOUKEjCxHnGF1OYVrJ3I4GNwKd2tY9O4VWFel7Yzze8aohX7h/xMOH7SSBWCsGqcgKvjLQpblj4UwIKy8vCxNjLIs7QM9/qzLQa5nt55MHxbn2lhmbC/tYnENdDux0g+9i1njO5jl7T0qXHNiilL9V1i8ZvbBERelyJKnt3TXGbplowZI66e/iP1oNaveNirdfQ2evuiCyD1tYjxO6u5QqIksWlNZTDvBiTp4L8qw1rdxsyu7sUA7AL8FdYW3nMW+szaWKUgm+nxCnCXc9WOepQ3XwfZA2uAyEcSbHuoHVBDFUAFWFlnGeFA0QTo1IpbowlWiVOSqpxzjyuWb3iJffYll8mFoWH4uAkQYvFaU8SHO7MAusUucio9y1btK6VBKMMkgjUAab/TQCYQRGgDSilCqFtMRh7+y8OmCvZq3FKjxVB3uWwF8F8AksGmO/q5H2cyWJ/SNjwPM8O6XUeAKd2ATJKg3peKo5cEuMlzpoUieVGTVX7ghHi5U/t1Oa3D1iJupPBMXeO8XuxXnzbaXhody6RKkJcDtD8Qv3RKUozwF4JlECL+bgWcEHP9diHPvQ8DN5QtGaptxdgvOVrljxJjTLKn1SBborU9zNAdw2rVKLezRDyQ+9YcBt9zTZf9pefKlWDFJlqwzTLPmDsOcozcZyTKwkJge6A3BpSi0uM40utcFk58hIYQGunVgpZ3LtsqorHyzYCxy4YKdk67WCx7Wli3M3WWZVg5Q2AyxSa4Wq9/y3395YC73/59jxE3vsvjau7ZYFdXnQV7HoHNtOOHrZ9afX+Dfcu8qXPiWyMkyRzcNzXJGJez4ywfW4i0ev1N3WQamC292rpyymynZ/8OKimcH3IlIZ8cefbvBnt09DGIKqoZRHQxnqymTjKCganH2nNa7MpLqJKFke2zworkisslLPvWiFJGv8LXshlTQIo9m+KeL0guSRpwISIUEotFAIYUtpJ+OoSVYEUWgS4b42jqgxTml0yfurRrIVUgu3IIrKvJ9KvKHdn020p+FOn3XLGcrEmNvKVk6uzZshYPuuGzft3vPSL3pHj5yY7nZ736bTmCDwyqXFWQ4KvUP1alrLJVkV7Vai5slt6qqvi6XOZe1KHbipaG9ZgKGUJMrR3qrY6cHZiEqZCUmSVwrm7B3jezEHzkg+/KUGdv6KZe+icz9/f0FlvHDZvFENNIX7ogDQBDi0e6LLuYIma7i1fYjSjk1QmRZPPb771QM+fleDvad8kBFGSEapj0fGavmxTjN4pnniJ4eqI52MfW3sBJris8kMWNKANFa25LpbGvseRmf+uM4C1Eo+g8rztV019+dilRwhVwtc5O+FTXQJaZt3BoPety1cODntxXGETuOsdFSsckPWliVO+FT5mwmWWCVN3MfJpE5Vv1VqwLNkgruPTKnBy60C853V1AS47URWnT1aO1Apjcr9bpWgZILK5EmqEj59b5O9B0vtLYW03nfRQcOaJ1Aw+do5bo4GL59XG5ArnrgzkcrTwtamyDKFH8UeV1025k0v6XP4wyFRqkB4pMJjKARemjkL5IFu7qiICh8XIXCml4wRKGMtTLDSxBiTafHsLkyZ4hegpQW+zmWK44O7YHeJsqh3WiO+KwizosMvFvM52j21wfpolBCEY7x6zaNe8wgDhe/Lif6KKrir2mitNxOwCtDVC6EINuXqK1tMMvcEa+evc9bOwZ4zdwF05TJ5qbtVHkTmW5xIjSfLoflKpfh+zJGziv/+sTYj6ZNP0Cq75rMVxK2Bdr5HdYm7+K26fIui/LiyeYB2Nbio1Kek2iNJfcI04Wfe2udv7mpw+IwHKgbtEQufoRCo1HE03GBzAuS5N2+wPbfFCoNAGnvMczaXJvfEdYXNtbAXlJYCYcrVY7WZkAH/OVh8FcGuCfj8d9WDHSeSYSQJIoVn+xbtRFWpZDnTpIhD1qgTmLAB3QBhbd/beV6JsqvPXWCLCdbOEylVcOtSosgqg3sVfzsDc8Xvdu7SsrjvRXQjzR9+ss3pCyEoL7MGZSZPTMX3Lp5PnqjJi/y5gI4jVYrGA7dHM0/hy+JeNENIRZp4bF0/5sff3OM3PhjQiW1AYIxkrJW1DdOy0IlszEK5rrj6ugw+VXYVGkPG3JbVczY3xtafFAxusiy4gNyxMwWDr7XaTSR8JmRLFcCrf+bG8O6qaAxEMcQJJCl4tpXLglxIST68Z/ImnP+rvplYdXXlTFZZigBycLMGuKUrUVzWLqe0Sum0TQkX0A6TezpjdF1IEytH9CqpolRSPHoqxgtjPnpbyHv/us1Y+1aeCFXIk6KpeMISq+ju4mIXk0dvTRbPz05pFbqgz1P2Bq11kd0sUvjaDqKseQk/+bY+B44HvP/TVouDIhWSkbYBp0wpGLwswMpPlnEAUtqVFtylZDEmY3NRBn2WdIy1DyuJHytj8vfK3bNJbV4ytajiB1az+hrsPckWBohjSBI7ANYCPGv7EnLt7ftKbK+hwx22cj9U5cRPdO1UdLcrTYqKtFJ3l0FmtkW3u2Wgcl0H7UiVHMQOk8uyOrD6mGS+d8zSMvzNlxosj3NwW4D70mpvT1TlSeWz5naZg2dROXgOY5sS3EVyxanLLuUJ5ZYweqJOXEqUVmjtkaQeU0HKW18z4OP3NljsKZAxaEWM1eNFt48otXj17K7N5DYPVCaF8vqUPNg0GYsXgM51uGGCsfN76cvnYEcIW8S7BpbWliQXATj2GCapIU01iTZ4NsCxX0tKsXanjgPmnLPXBvnE1SdWA1uuBfK1gC2q0qTC3nK1JCl/5oI7rbB2ydw5a5fs7TcSbvtyjQefqqMd7W2bGnJ5Uq03KVqz3INe0ePOMrrmCcnY07G/3G2w3WYId+/R1EiUKX3xJPXxdMILr434jhcM+NPPBKAiEBIjBGPtoYSwk8NwMohuSaqryR0fXOU9ErkOz2tnpFMoJu2MF/f8GWPBa+TaGKjKkgzsxTE0qzHmAP+5mLwgDGGHZ3hRYptVtbGjD3Cvnkm2XuMfrwJ/tVRZy2XIs1oSR5bIEjBV9jaFRVhsVOoAXCqDl40YkzJzTKTJdHUO7rR0TKQud2OT1j0J/ZjDJyQfvK3FuV5g97uWdtC7EpQ7NkzEC6t0t+sarcHek7dKosdh9soeou7Am0rXvd0/xz7a7U82NlN++Dv63PtUyOHzEkQMKDSSkZDOJlL2HOSgLmxM94Jz+bzIZmbnwWVzIbJMIkUNubsy51lGO/vdkqOWJYuXkm6SwZ0KQ5HDXVcALRzwuQGnEtkMSl/guctl5cRNnKDV//DaQF9TouRL0yrmdjR3ocVX9/oplb+eAHkxI3vyeVoMjcxZ3JOO7pYpXmYLBkHMONX8/l+2uefRuu1tk57V3lLarh1Rzl8pPmu+skx+1wkmdw+ji/XVGczStSj3eHfLZ90yWttupnNHJdUk0kMlHi+/KeIn3tHlV38/YJxIm4HSkiRzVWQ2Q8R+trymw1m2jW1Jw/l89rUzb9Jk3fUGjDRZgCmKC8AICpmihdMAYTJQmxwPoiS8CYnrHr/JasKqBKzWpeSphvy5l2cavXzfRbka4F/reQXIFRZfDerqa1ealOytCsmSyxLtBJlmFYOrjLnzCaiV4FKWssTLZlwXwaVM8IOEOx/2+fg9DcaRD3Wv0N4Fe8vVQ31WlzPgMKEDdvfETNC3W9hU7BNaATcYlVcZVmvFUy2R2kqVHOhJ4lFvJLz15UPuuGfIFx5W1jZEgpDEwmOIU/lorPZ15Yrdbaaqye3dqUvJmNlIUNn3y1/n0iQHen5+jXAqGwXZ1uAXY/CJ8lgoZMsqgGcXan6cZdZHmqZ2UzbPc8cqeFU2WgXqtRh8lQ6v1vWukic5eIsvalYHlZmEURWZkgWZ+Vw84WjvAsjaYW4H6M4w90J7SzsldqVvuO3eBvvP1qw0EbYkVuTaW+BMkDKrwF2sPMUF7gL6OfRJDm5jWTO35Kr3tQZPrq4Xl1IhdYrUHvHY44pNMd/x0j4P7g3oRFn6VVs9brcNs1CpgtvR4AVv2uROcUFKG62prKWtZPNcqmQJH5HVkBdAFxNkZ33yyVUe5xjiJm++DizmdU9SG1KtSVJDnBo8Ke2qHDgAr/wDF/sHizczFcCv7Qfbq3M1MMwaQWZ15oYLZiGoBJeyGMyeg9xMgDvbmcB5zMHtewmalD/5TJ33fqyFEZ71vSvsTam9K9bgaqBXpdzq5XQt9p6cwlvV3zmTr25l03naXmt0KtHS+uJKauLURyrNT75lwKEzPu/9uEeclCDXCMZConQ+SCIDt9vaVoA60xnYRaD8ca7DKYEuLJBl/p+JTKpkfnmurfPzXs2duPNTnLigwtJl589F8Zkls5JUk6QarQ1eLUgZB5p6aFCeqXy/5wL6KuamPNF5UmEtJyVn56pEqcqTciSvu9mSnbsx6ZjIHNxqUp5U96xX2d4zVoPH+EHMoXOSj9/VpN/3oa5Ws3dR8+04O6JM8FRk2cTzQhd+XQzugB4cLS4q7onJmg4KoMsc6BItrRaX0iOOU1rNhLe8YsDnvlLn0NksqWDDelIhGGY+hRAgdAZuU4LdFKDO3BKy5E9+ngsnJU/dW/ZWGUiNc77taDULUFNIYFEhPij/ZrXvPREnPPcRJYpSRuOU4TjBazYC4sgjDCzwJss4n+vmnsDS3nnuAFM6r92ieOmweT4OTDksnk80VcoOfiwHszv629luQzqyRMrMMcmY3PMSxrHmjgeafOmxuh0OLn0L8An2LhwcISrBsMCpeZ5kcidA+vpOyQTQ3Qo6bW24XKaYbCsSq7t1KVO0JBUSlUq0UMRjj9fcEPGaFw45+VmfsbY6PKuEIsFjJEBqZ9sqIQobxGT7b6uC3nJHJbtWBAXwEaIk+yyANCILPIWDAfI5glVMmCLALPFDqbjBkb2TB86s8TpOjD2PysebW79tJYrGn6vX/X+cpraoHZNNsjNlUnetf31SO7mgryw7uRcqTWXut3B0d7nsl/OnS2DnQC/LRl3nRMrVetvahKnzPEFK26kjg4S7Hw541wemSI1XOidSIYS0+wCJMi1fZXAH5JI12fvrSGKWyMZ1UKope1eu2Mm+WeCpBVqUjkqhyaX1xoX2SBJNEKT84o902X/K4+6HJDoQGWTtF4i1YliBkiniAZQoN5nPvkjphWerbf55s9U21+EiS9lrylESMlvVTU4KuMfQjdvK7qdJbK15CF2ZZ+zoOen5tNutz+3aecmKevmtW/r93oXDnuQnjI6L7pnVg3jyk5vfhWPzOdnGSu2IKG0/14nIg0VVauqyMtC1AJ1EjhNQFgVVrmtSSJW0IlW8ImtZ9lqeWhK864NT3PtY027KI4OsJNbHk4K6hFCSbXJlVtduV+6Z+1QMyakOI8pr3qWaaJh2dH35WjgXfbUkwA3Cc/lW5BNcqef+zsC6uYTQMzz4ZMDKUE4sNbKYIl5WHGY62FQ49Ou4Wp0LwQVfJWtb3dqmkuByGLjy96tyBM7qlrlO7pzzJNX4fsDZcws//OgTz+z3an6KFIIYTZqYYsi91FltsHsRG7cGy82C5VfZZFuSM21UuMztprrdn5XD1F0Gl5OaO2dx1z1xdgIrspUy972T4nkapHzwk1N84stNTE2BUBadwkNIWem39Fax98XtwcpemKvP+SoPfOKwVgBRnlwzcUKdLTyy+YEmY25jdFmjIiRSK1LhIYcpb33lkGeP+Lz7fR5RmFSCJaN9xmTdVTrTD2mWraGsD8+/hyHLbmbsXozTzljbZDLDZKydSxTL7KZI4Vdrvt0gs8raTs6ncqxKPJoK4JMERGxIjbY9mWWTgS0v1fkVIco65ULr5P+6qDyskehxA0zn+QSwC4BPjOCt7AGTA1pkAJ/YM6a8pw7QXXCnyKLmJOULD4V84LNNRmluG+XWYJa1FKaivddMzbtAxwX8hFyphvhrL7FZcJd7z6symphVJbRGOplN6TgrQtnCLJkVZ0lNqj1CX/Mjb+xz/xMBX3hMZppX5hoRbTzG2nZskYO8Am7L6EinjFYIVCY5KiDPmx5yV6XQ2ZYTK5pckCV/VkvcPI9yMc6AtRnd7jlU/t4zaJt2InMq8sxQUYQvnttZmfArJ61BQdUGFBVg56xuHAav6nAreyaYu3hcg8Vd9pZpGWB6MYMx/PofTXHkdIjxyt2SK9o7l0gVYE8AmjXAXEB4jav/IiCvbCCAsxRnz8viK1ePr65N0TKrOJQuiytEqhHCQ0aaS7fG/Nsf7XD/vw7pjbIvo2XxuVI8Rib7jDK3RUrr0EhAZ6A2FA6LygJKIynb0ESuw01WIz4BdJckJoqs1syxXAzgDvna3SrybVlM9trgzUzPIKViNOrRWRlm9Y45a1BIkYuNrb040FeD2mVuMSFHcqBXJYp2kjy6YPIquHOnxPG98915M8/b82KSFH7voy0e21eznrfMmbt0TnxRlSVKVFlbuGCfYO4sNYg7dHPtUyJW/8hhobIBwl1+hbM/klNdKCyDF0GnlhbkqUSL7J5mUkVrbtwT87Pf1eG//OU0UZqxOBRRYYpirHMtnskUB+RIG+CqHBMZCCy4HTaXIHTuh2fMb0oAV8DuHkczYREahzImD5tbXWBKcMeJZrbZYnq6TZqkeHue9+0EYYtzp57i2cdvQ2RNqzJbfgrdXWGi1VmmconJR+dW5UkF2Gto7grAKxKluj9jyd6po8sdWVK5Z4FlLeWLD4S8/6MtOkPfeoCZ5032fa1zUmYt3YIhV4eXo9nWmEFYCctEGbStop0qa6/CewXoJcirrJ1Phc3jJleqWBsxlQpptK1XSRTtmubH3jbgkWdC7viqgkZCUTgCIAWJlozIY4oS5IVcEbltaT3vXL0YIYpMp9ElgHP5YovrTCZTqhsEVCReqZBwnZTJHE8lhnEIYhSlvOIlN/OiW55Hp9PDk9JHKjvQJtWiKFRZfeWURfGVRdcJNt1gcpX+ngB2Neovs5QusNcCuX1MV/ndnkrtf+NUCUqZIL2Efcc8/vtH2hxaDGwbvHC0d1Yx6GezTgpnY62gcvJ74gBbXOy4TS57Dmu7J2tCd5fLr1OWukpzlmAvCrGMLjaVFblUEcZKldiwezbhZ97e49g5j4OnBcZzBZYA6ZNmIGcC5BmtWmAXej0HePZZi5UsA/+k/naAXpCEmSAK91g6oJs8pJOqIseU73uEoU8Q+niJtmnbcSwZjuzGqEWfoQP2i90qzD3xvCJVXPtKmFVB5uSmotJxTYoAM5Mlds/GyWSOzqoErTSRMiEIE851BL/+vjYfv7OB8VWZjn8O9i7rvlen5F1wr5XUcU9UubxVAT/pBKyZsKjcJ3V4DmhTZDhNrsMzBpcif54Fn8Kmr31pXZXOWPILv604vyIgdOlWYPAKJp8Eec7eJWtbx025QM/s4Uyq5/FpKV1YLV1FdqXkgF+lDi6SdBTOEymhFtgtIvPRHTKKPbSunxuMvduFvw6tdZGly2d1lN6243LICZfDzTYW/ZRVD7sqMzIXxEm9ywlnpGBvJ5CUk3ZglqmUMkWqJHtua00iNJ++r84XH2pktSaqAHaVvctdg915g5U8wCRzO1oc53eraiWcJXbVbSJJUZkbYtc/Z36IqDB33umTzwhJna2ui9R+3sdZ/M5WHAojed0LRrzpxQMCkVpvTTt3k2KMITEw0jDWglhDnA3nT/Ih/SbfdlA4WxBm91TYe75FYR4A5v+dmfh7nQWG2evi0ZSv17rnf4MBozWXbFtHq+HdPtWunWvUPeSOnbs5tP/OY74a/7eNG9eDSYqki1umWiZ4nMTOhE9dCQxVlngRBiW0czFo3IKp1cCtJnGKC8P5m1KKuB06uWti600SofnkXXXe/f42pxZ8CJRl7iKwtBttVbKWkyUDruSqzD4RFQCXJQuiuqpNsky+nq/G+MQPhQP2KrB18bty6I3W0mmMkBjt1KhohTa2Cz/VHlp7xGPF9jnNL/xohze/so8vEkgTMNldx2ASjNZrgjwxOcgdYJvyeb7duwVx9e8qe3KaKvALmy9zQfLMpDFrgDv7ndameM9xnLJ+/UY63dF/+/invnjs8ssuy/boIbLtPTIpttQri1tMUYPzXPIkf21B4ex4iytLHPfEsQiLvdYFFeYu5Us6Mdmpytx5QJk/+n7K0QXJ+/+myf5DIbRU4ZYUiR0pC2lS9FkyUZs+ydyumyLz758nLKoBpViTycsDuVayx7K2nkj4lC6KLLJ61fS9FBbkUpjCGxcZ4IUodbgUeVe+Rzw27Lk04Ufe0uOhpwKOzUun6ilf861rkkhRWIgmCzgLdy2XI9lubDbIzFP35V1my6CtK68ey8JNyZRQXq+Cyc0Mc1H9bY0XG2THiWE4TugPI8ajGMg2odq0bQ+eX0eKmFH3IEol9stUmOQi+qcSGEwGl65zchHfW4Bwwez63kIXz9cCdyllUpSw7O15KUs9we/8WZu7Hq+XVYIFsEtpEkgmxiCXXTrKBfMa0X7+/VdZhWtzwXPe3O76SlVhJU2dg0dYfzmbDWiEA34n0ymFQQuD0Na6zG1DIZQFhNCkA80rbxzzz3+gy3/8I8nyMPsceW+uJiu8UiQIRo6DkhdkGQlKu4C3B8WIzDt3v5q2q58phhGVwC7AvpYON1RjmsljZMCkBoFi185LeMFN19HrD+xXAWhPb2LTlj13CH32XdNTkloQ43u5dDBZ9pBVd1GRJo6MmdToyq3fdhI4ovxZNSuZZy0nNHcF3DZD6T5XKmEkDL//sSbv+2iLXpwVUuUAF7k0sWOGc+fELaoqQJuzeSUQcpjaDSad01ixU78OpE9211fqNSbdFscuLCWLA2zXWTFl3Xje3pYP8MwlS5J6tDz4ibf1+Mm39qjrxLbB5I8VuWI1+VhDpAWRFiRGkGhIMomSZNIjycdAT8iQUltnMYMrN4wrPaqPxv39xN+nGuIUhmODFnUOH1981w3X77lj+7bNJcCnZ7Zy5NGfH7SCE0fXzUQ0ajGepx3g5ifaZCe+rPIrHRK3SWGivawiRVzrz9XVJUsX9zXdkrQAfy5JZHbH0zx72Ocv7mjQjbPJmDhBpVQW4GTSpLibtbW3A/bKc9dhmvjbHNjVePO5kV62q01Yhnmg6Wrv4iKY2L8919+rOn/cwFNZfZ7djVYksaLlGb73dX2uunyMrGjx/DG1gac2xAZGBqIM6Lkmj3OQG0FqMtDrMtBMTanN88AxNRcBupkAdv6aMsPrgjxJoTeClcjniaPLR1/7/b8+2LVjK+DsVb/t8rcgVYPOudsZDR9jFIXVk5RbNZN2YLFMO3p7InmDc4G4TL9amtiflen5DOSZNSjdLGXunOQJHT/lySM+P/sbMzx1MMT4spQlufbO2LuYcyJda/AiqfnnkCmVxE5udbkI//pIvKL/Cvm9hu9dMrfJ6j2cctp8FwZhJ/lqI+3SbwzaSGSe7TMSoa0mT7Wx5zMyXH9ZzHt+YYWf+E+Cpw5lwUnu8WX1MmBAeyS5Vs9mr5mcKjO7MJcohQ9OJlmy45iTgtG5GrJzVoR05AqTJDFxuCYcp+4o5hUv3M0PfdfL6fZHfPHP/23J4ACjZCuR3sr55Y0srtRs0mctI91NqwvWliZOWa0Qk1WArp6+OKtLl90vAm4lkgzcmp6R/I+PNXl8b0iqJpI5Wb0JSDxBOaUKtwx40jnB2bE3v0+MhaiAvTxGz1F+Uj1RE8B2EV7UADmsvprZV0sWd7/NfDKtLmYaTtyNyrryFSKV3HjVmJ9+S5+WTC0tGleqWBa3zzO5kt3jzGFJcocl+yyuHZgPMkodFq9KE1FhcTPB4DlzT8o2gV2B1zU1V2+vcc2l67hm12xxXAsGj5ImRrYOxen6w8i53Wk6QGcNd8U/Vqk3mdiuuUjRVxM5bs2JyJh5tXviJnZ08XdrglukyPyuUjw/ZaDh/R9v8pEvNhnnYJYue9vKOenags6EqjWzlhdzUPKj6j6fsAeryP5a8mSSvfN6arNKh2soRhm7g4FkIVlM4ZzIjNWFEQgtM2crZ3aDMNIGoGRsnhoCYXj7awbsPe7x/o+16MfYA6ZzhnYoMWPyIl7QWao+C4KRILHDhoqWNy0QTkViXtNVmjdZM3JeIrPW0VuDYNJUs2Fuis1z04dnWo1DIi8ndBl8w8bNPPPM528fpHwoFm2iyGQzqatv4dZwu4+lNMnLXx0dXpEcjlMinJ7KCdau2oC5U5L/TVln0ovgfZ9o8p/e1+bCYp6hdAPL/C7KpI4Aj8kOHbc4zAkuoYz4Xb2N83zSWSl+9vVEmSVg3dx99aXIGH2Sraspe1ebV5JBWaubqehyG2yWfrlHkio2zWn+zY92+Kdv6dEKEzt/waSOHk8qTJ5qiDImj7QgNhTBZ+l1CyfYFBUfvMLi+Yx0LVZp8lVOXm4MSGtLX3nZFDt3yA/ddd/tt2/dumU1gwM8fthghPxMfRS+ue01bqiHSdaFYgqGzgtgXAbPZYsQVa1d0eQuc7tMntmB+d/Y31lQC6EzOeICPp/lnSJrhk98psE739fm3LJvh9zISd2tqGQs3a4jUdqBrue9tvctKuCddFBExkB/a49wksGNI10KqZJxekWLO0MyM7tOG2G30RZlYCoKFrfMbm1DskeDILMOjbGzDMeGzTMp/+bHuix2FR+6TUItZ3CxmsnxrJzNu+6ziT8GgcZ+NpW32gvKOnGZf2OKEtuyeNcey6LrX5QTs/KcTD4VTQpYPxOwczOPv/rW+DPLK+PKMZXui5/5wbex0Tx5b7smHwYPh+kL9r4YuC1wNZVA0tXUa1iISpZZTlUElGn5vOKy5ODOEjuh5tApjz+9rcnZC0EJ7gqwbSODyFi7dE6qpbCV4DK/KF02ZvJFxs4T+vvrVCUFmJ/z94737WrSNT1yJrbyWGPcm03bu+l8J9OZzTg0xkMbRRJJNq9L+YFv77N7ewRR6jgrznOT63KbYo90yeRJxtCFlWhKNnd3sMi1+cUclPwihjVYHItF31OcPisf/pe/8vS9s5u+v/J7b/LAXnrpRoQQLJ5fYTxancIstc8EuGXJ7KVLUmYoc5CXCR4niTPhmsg1JIl0MpUq0Bw+4/Er75nmzkdqUJMluGU5vCevbc0Dy6K/UpTJnLX096oZhLL0xS9WSZhrlMqFMfn3Ym2XpDhVOVNPnMyKP24o2Nvqb+uOCGM3hlqrKEtkdpwQMksSSbshFBmLa4Mdt2zfTQDpKOHVzx/xaz/b4d+9Z4ojZwPwsw+kHTAUTKwwSKKsf0Zn7orJbRHpfDeyxonstSwsuvx1yb46+31eqjvJHak2GBmybuN29CQjrwXwy656DVJ60bPjDtG441AW1lKq6OzJ56U1WJEclb+xckRN/s1zgjsrhZUJytccu+Dx7//7FB+5o0Ekcr97UnOr1YGlKBsZ1m7CcPT0GuAsDoPrlExo74ve3F9O0FARTOIC3nmdl9AWjkq1Tpwc9E5ms5QlOfAzsGuJEHkAKkupktV/5JIFbah5hne8dkCq4d/93hTHL4Tgp/bL5DJl1XeRJPmLbL8eQ7bfULZ6muIgGuciEcXF5d5ykFNeI5VjqTVcsm0z3/2dr4/iJOXf/vzXAHitvp6w3vrX03OXXr28ePqVSTwgH8iStxi5Ja9ywjX5WuAunBPnb3KdbX+uVzG3lSk2+XR83uMXf3eKj36hQSSzrddcSVLxvCnb0CrS5CJVg0wEmw5yK1LFcU0q8sS9Ev4/3MoiK1ORJMXvJpbsnMEnbUOXxXEAL7JWNRuSSvLmcBtfKUQ2MyRODL5K+d7XD/EU/NLvTnN8PignAK1i8rVA7iKzBHLleaHp3Q2yqiAv+lOdw2yMZnqqyTV7Lv3yZZdu/9edTm/N/7YK8EabZx7/Yjcxzf3jpJam+cEo2NlxUirNwk6bmdAVmVIB9xq1JRVwZ3ag66AomSA9zZklyb/5vSk+eocL7jyhIyvgrrgmTCRzMI7cMAWY3X2DXAC7rC2ZAHYF02biBddggAAAJspJREFUQvh6Eb06wJysTyl/lgVvFfBmmpXqEH13rmHppMjKazelX+pymWU9FUmq8FJ4+2uH/P9+tsPm2ThzVjINXvjkribXRbntak1ezWq6mjzNHaGLanJROUaeFEy1gnTdbGP/xz51R3d6uv21AZ4f0/Go/7NB0HjSbshaamVR2H4TnfAVELtJn4mkjVvqKnQF3IUcETlz5+WvKakHf/jJFh/5fINIyaxxYbI7Z7U0Wd3E8BwZSwega42HqLD5mhKmvDL+lvguC4pyIFeSOtVMZiWLl594xIT2dkHhbE+YJX/K+pUS2CYfx1zsB5RZianES+AdbxjwY2/u46Xpc4A8B7qxINe23HakRVFymxhB7FiHeXrftRWfK/DMbUYhJe1W48lOt/ezFzveawL8uhtfiy/H6eatO00tsBuqlvUitgG4OjjTScNXfGy3kCpLzRfSJU/quN63q7c1SiRIpcET3H5vnQ/f3mAsJ0pfV6XjRcU1cfdur/RWOjrcHcTvgnZyVvqEkVKm5vMA09Xmzn/zNcGd/eFazsqqRogM9DrLg68ejCMKP9nNbFY7gcoaldJ3lhmwbfVg7qwUfrkWBKnhe14/4LUvHiJS7TgqEyAvgG6/kTbWK481xCbPemaZz7xAq/hc7rDREtxu3XmiBUkKqZFcfvmlpj+I07e++fVrHl+Pi9wu3fMS0nj44XTwzJXR6GwT8v3Pq8yda/KqI+Jq9Nw9WQ3uPEsplc6yk/nPEpux9FOkB5+6p86//t1pnj0SZg3D6iL3TJrI1exd+N1MpOcd9r5YkZUbcOa/cAPRSSB/vW7hqqFKrg3IhAfuanKXxU3W9SNyd6Xqk+cBZ6HDHStRGInO9rTEkNWtmEKD24vWILQV3UokXLc74j//Xyv8vITbvtKwelxl37SS6cwDSHtutIEIW3+CXEOHO1e6yHx9eyFXL3uTuTRJCls2r+u/5hUv+nCzWbvoMZYX+0V7ersZrjz+Oxu3XL4QeHEx4NKVH3ZbijJpI/424M5LXGUGbqcMVokE6Vlwf+LuOr/436Z49mgG7jUTOSW4pbBuVnUERM7gE7UmXFxulACu1p+s5ZasArQoMPsc6H6On5uJlxXUl1Jlci5fJcDUE5JlgsXXfNRWvuQSpSizzaWKVuhIcfWOhHf98w7/6OWDrGwwmWByt24lZ3RrZ8bG+uW5RElM2Q1UkSK6jCcmWTxJYTA2XHfdVQtfuPeZ39m9a9tFD/VFGRygNXcd8biDPPMwJunaroz8qi68cMctEc8NbiXTwiWxj2lWUeiweaa58QSfuKfOL//eFE8frpXgrgDaw601ERJnaP3qpM5a7C2/Bthxfj7J3BWGnzx4fwsdvsoadNi6eE05iKl4jqhKGJO7DGXVocgAIgoQ2ymvOssVamFAy0zpy8IQ0YVlpyqfDIAYrtsV85/+WQdj4NP31Kn8aW51rKJPiUYS538zyeTa1qGkE+6KRBQLgv2VZt1si1tvuoJ1c1PPeWzlc/0yqG8fa6N+utHe3vdVUimGskv6WlbganArN+W+FrilO+rBau7b7q3zS787xdNHwglwrx1UigzQa802cWecFE4Jq1m7EkBOgD0/tuWjqNJ5dvSrL782xCddkwrWzcRjbqK5afqKRs91uSgvhoo2L50Tl7ntxSCdbKfbsKwwE1lPrRVpJLl+V8y7/nmHb3/pMGuUmMhyVtjcuisY/dxMvlbGM8N6il0wxglcedn2vu/Jn77y0s3j5zq+z8ngOlnUU7O7Hwx93Tl38InmeJwSpx4UXjjVElqHrV1wS5WWqfwKuPM6E+uYKJWileSz99f4+f+ay5IJSSIda3DCEgwyxs5LYdcc/4BZQ5Ks/pkL2PICENULoAJ4WFO/sPpnEypk4g9LPVrIEzEBZOPo8f+3vS+Ps6O47/xWVfe731yaGWlG6L6QEAogJA454jTYwDpKIDgfr2MnZG3HOI5tHCcm3qxlbxKw5XywnV2IvTY++HhjbIEdILYDOEQgQ5DAWFiAEBK60D2a+3jvdXfV/tFV1VXd/WZGmtEB6/p8pNev+pj3+n3r19/fbSyUiIunxKtY24qDh6UlQAEi66mAh8JCOwWpAOEUqvcNED1ZUAOWzPaw7s/7IQTBY8/kEEBAFwpXikIatupIciIiW7guiC+doQJh9k4NGdz0O5f3L108c/OBo30co4xRJXiu0A4329RVqY3cFGQv8AZHfJ3BDRDNu4mlOAptz04DdwRqs5VfOMcZxb8/l8VtdzXglT0p4CYqQ0dJ7xC12qEToyYqtiQhyZF0zSektrGNBPBjqCbhUkhVLsfJUyxLCGxcaNe++R4mkImV/WOH08ZixWMOIJt/GzEqliRnRvob012WOWfgVYolszzc9Yk+XL6iAqbDAuMcPF2S12KSXFlKrCweef8ZARir4cbrlng+qje1TWnsmjm9fdT7OirACc1h4/PbsaNr/v5dPee/vq+rA9WaArgCSqRcMm3PltTDAHdaNrz6RxiHcAge25TFR9c1YvvubJ3gKdNEGMV4qwSGVGpCk9LbrnlihMVa4Dakt43l6P7EuPrxgnp8gCcRuJVA1PZwYi8MDQqbfthpbzHHjzVvvqdWepsGOY9AHnZdDkG+cIaH//UXfbhqZQUsCEKkpiqbvgVyEaMrnqQrymmlwrUpARzCccmSPD5w44zXr1/dur/m/RqFnDvqfRwV4ADABUMT37JnVpv7gTmzl6LmBRL8Zgis5ObKDk7iVhMjOVg7cEKHDnM5hAP8fHMWH/+HJmzfl4VIk9xpSiUx7d1hSTHdTz5u88Y4LSgGQJOBVbCleRzUMhVcpOyqB2L9OorJJVIu1YM/+juCxyR6ihSPIg0jXq4ltJbccYme4t0UUQy5ENJOriR8LQT5l2/rwxUrK6ABDw3fwpDmCaCnc3JVdyXu5IHwsWDeudi7N/+B+/755T0Zd0z4js7BAeCyFfPh1YbguIWDR98Injro//K3iegFoyQCtJmsYHgurWwcGoCY5kASgGUC7O1meGZLDmu/3oDte2Uu5TjADSmBHUQmQTv9LD1LR4FaS+96QDeUSzURSXNFS5L272Rw1jjEueLZBlBV5dO4rRwWp5bnqTki51V/zZg1RUn4yB4uQmuKoPKaXINbJn2C6HrkFLqvDYS0bkhBDdnOxAMWzfTw1dv68Nmvczz7qxz2HiNAJmX1ciHFa2h6MTk5gTQISD2BcoKRIEB7SyPOXnz2U9dcfenBwaEREFIY89aOvQQAuJki+o5s3JHPl77aOm0xGK1JMAsrIYHFpbWRP0msSMEwnnv7QRefv7sRf76uCa/uGS+4QwQppVLREm3zRgzoMCQ50kGvqUcKuE03fnrgVQrQRTRvgj8V20qhVPpl3LZtviKFh8OQ7Eqvg7EQELOPG7ZlZSs3M4LMkhPCkOLK25nOyVkUv1KjWDTDwz9+qhd/85E+LJheDWtNiCD5zyoXF0nyKiehNNceT2CoGmDF8iUoN5S/+qOfbdpRLo0NbmAcElyNfHk2nEzTZt8f+HFt5NAab/hVMAYr3YzRwIo9iRRPm3OznMCOAw4+/08NeODxAioBS7Fzp4Cb2hYTpVQqUOseQYbNm5B6UjyqCGAFUMWsJxFAiQ1sa0XEYJyqbY4xRP3jrXQ2E8jaZIKENA+lNrRktyMOJbiZmpcZONJaIgTXxYXC0srhE5NQLiMRRfhbaTt1KMnVoD4wtSnAe985jKwr8Lm7G7BzfwbIKgtLyuAAqAMOghokdVK7Ah8rf2seVq04+8fLz523uau7f9y3dVwSHACyhRmojXTvaWi77GOZXNPDbiYHh3mysWoQRQWmFcNkRsJCRmDnfhdr75HgBgs7Po0KbsXJbXC7ROgsndQuaCRKhk4thZz6GgusillPSMq/hPaZGMendVpWExGeb9q11bQpuSNrStyrGfdgRlydc9uaYgZmCW5m/hAEpp1c77MlecCZzN5n8KsMWS5w01Uj+OyH+zF3ei0UyTyI8XDTbu4DPIxE9AQwzIFBXyBTKKC9tenhm6676GNHunr3LJzbMe57OW6AA0C+PAsjPU/sbWq/aGupsQ2OMxI1V1X9cGK1AlVRHkYD0CzH7iMOPntPGesfk+B20mJL4uCmmgMrRdIxXPGOYee2MnRgSHC1jaTlBIAt4WOC2aQrlvMmDnpiAH7cSI7TjpjVxNyvj1dJyKZiGTMzgiQpTirwbbe+XSyIaosKDOBHjh+SSlfC9DeGwKfICYGbrx7B2lv7Mau9ZtCVuAnRg5kWJwKOIBAYqQSYM2Ma3nH18q3/91837T17/vTjEhbjpihqZAudcPLzviCqW+Z6OPBu4XeBEBk0b7ncOQgJpHs+QE0Q/PLFLO55oIgfPl5AjcTiuccCt1Yoo/geJbFVGz5mKI1amhvgTbN3R8A1gG7MWccguZ0YcW4zzmF5NEmd/cSgJ4ZSaiupckNw3bfSBLms9aMdRVwQmTwgq7jqC1FQwWUxT0B3gqChshk5frhFVwgA1TGCEgA+kHE43n3VCBAAdz9QxAuvZlHlTiReBRD5+aXHilAgEOic2oxzl8y4/7orzvvClm1vHPd9PS4JDgBu4WyMHL2/j+aW3JLN0o0ZN4z+i3i2EcdNfVAWYIQQfPsnRaz5VAvuf7yIGjWbr6p/rrRxRx2HTcntQOVVhv0rNcBV+biY9SSVexNbeqeZAeN0JHw1Wt4ZIDcXgoVxgQkNU4G0Jkywm2Y/mNIZFp1J1j5MSnKzpmFaRpBZmtlMWLbqj5vhtZwhCMJSzQF34Hth0sS7rx7GQ1/qxvuvG0SRGIkTZk1EpYAGHrLEQznPN16wbN4td3zjp30XL5158gEOAIX29yKXFcO51j+uUacJQoQWhqiGoKw4leEYBsF3/qWI2+8p42i/Ay8Rvx21ErGqUJmSmxjgNqgJo+lBUyprxwQ2JTHhGgc5AXSmPGBTjhjgxxwnIMGVlz4B8rgFxbCHW5lAicAr+x8Q5+IG57ZqqqSAWnk04yDXRT1NcEeRiIEIs4K4YAiCsJNIWznAHbcO4H3vGkKR+KHxm8ey9uUXm9laxt9+dE2tIeMPf/5Prz8RqB4/RdG/R24ZIPgmnrv2El55JF/I9IFQD4LL+G4m8NphBw9tyOOOb5bRO+CEfLtuqOtodu764E7L1kmLLVHSW9EO03IST1FLLADjmIi2EAv4iUSHsfROc4g6cyZdkRYTYVxXRR3qxUEM6U0i8CtLCdGXkRn5KpFZUhluVbCioOCShoR2cYqwdXjET6gMJ+ahdSRWAYtyIJD3GpSE4PUCtJQC/M8PDSDnCjz8HwXsOOKGH5RRhMmcFMXGBtz4X1aNrFq+aBOjJySHJwhw1opadfgzbuPvisH+bZ947cAzueYGjmktAQgDnt6axee+VsaGLTlUfZYC7nrKZQhuuwpVHcmNCMzxHMt4HIrJzVOz4g2Exk2G5jHmaeE/+7w4Xkfj65b1T/JqvYPAktTmey2ZJbBDQAst4UOSbZyn3PggslyasKU+B2TMlUVlOMLiO0mQSycNVyVBKATn4KrmmiwSFBb4kdwdQbiQCIHwArQUAvz9h/txzaoq1n6tAc/+OgtwjmnNHkrZEcw75+zKn73nqi83FAr/vVSqn9Aw1jjxpQEgky3wSu+P1u7rOeuLX/mXZbV7f5IHyRP8YmsOf/WPDXj0P/Ooeqo3Trysg4N4tzMT3BlFS4iAQ2PghuHAiTCq5+tJbwW29PomKYqnsQ+x+Tq++lF0THs2GQMezYvYjrou/YSVxTYDJjLrAZuDAxYlMSV+PJBLW1cSnNwoxyyIRVvMokKBpi+Ko1NkXYFrL67gix/txyXnVoBKgPdd14cvf6ZUe+clDV/8xvrH15ZKuVGjBccabCInA8DLtfcE659e+Gxny1Bt0fT9l//sSZB132nA5m2y2hRLATVNxnODUk05TDu36aXU4DaUSqtxlG6NUj+52My9tJXSqBWgeQ2reSklxrXl8ZRo/k4IkeuUGNeTtUms9/YCS4twTCjJxn6QMAlAXy++qAlkYFm8HyWxFrC5sM0lmLbIIx1B6SmWWm499rQ1J77S425jAVAuMKvDx/JzfZTLPoarDfyy356/ds217esuX3mk+rnP/duE8Hki6lBiHNpzL9qn5M956Im9Wz697gnmOBRb9+SjzPdU3m263onOgld2bju+xKYl8YycRAwKEAO6iFlcbEtLCHKSGsNCKYnmKLGOV/vDApDEOJYYx4YAZ2qfdT1Y27oRltIvjG2ruYBezKoJQZQjy4zCp4nO0VZyuCxtTWBUGxOp22YxJ4Ioudyqj2OU7SMqEUYllRuFnYhRJkSXwHYDvLjHBTjHjq4bg73dS34r7w6+9OE//IMJY/OEObg5eqrnwPU7Xmtrb7/1vju9e+7/yQa6dVcJcF2DeqQBnERxvobUpsS0dUc/KkOMY8cBbCiPABJVYdWKtng0sc2A5tJPFNzUx4RvUnw+ie0xx2gueqhYE2FxdUPLhNIxtUVRhHH68esr6kNIRGMIEPbUVDZyEFDJx0EivVFTQPlGcXIFcJBQ8SQQugEVZGOqsPkUj+zkqkyV/BygBI4Q+OkvimCld/J3Xbns1tXNi17r7T84GdCcGAdXY/HCi9DS2FW7dOWV3zzQm/vkzkPzAZoBWCaFjkTJCoSGumeGhr1IldTWMSaWEycF3KgTMUhMD2WdiEHj0a1QGV8Mal5t1KXf9eZP4PkoRtlh1g4P/yf6XaK0RJyLI9rWiqnymlqx4zA4trK5x0JpjaAsXUDI5OGxgvuBNiUaXlARlmz2/AyGR1xcc1EbZk0jn9xKr/7mxhdHagvnXzQZ0JwcCQ4AhFyAX2/fH5x//i07d3a9MPDsjsfKBw4fC8WAluCOFTCl2/gpOgLbQxmX0oqHJuZT+Goc0PG4KGubIAHehESPv4/xVhh/I+3U8QwlnOPWlbjmqsyDREpmbb1RwVfyIqH5T5oWzWRleaLO44SsF2iYDwEjbBYqUVl9N1kMk4ed3EC5bj0iEHZ4IzycEISDilCKK27OpJWREh42keKzsWjJTQPntazayYPdgbtg0WTBcnIkuBqFQgkkqDz8/htWfOS291/e3dmSBzzPALjskUPC+ColtbU5kEY9K03l0ephaVER6WAyQQ0T2MJ+H//ABg0x3fJ6n3E9Y9p6nRwtZpRBDOtJMlZWvkYfQltGzJgW65T0ZGVlRTGL7EMFXaXEr5gBWuml36gOvApEJNEDQ9IT4sHNlFFsW9Ptlq76yEi//7DjlDGZY9IkOADMO6sRAHDgSPd9f/J7q5xadeQL//t7G9r291QBykAoQYZG5r+0eoFauUNMOsPep/rnpDaHMuhM3BKQSk+Qbio0UUOIQX5j+8lkg9xy2ijJaO9Tm6ZtnJDYuQCIBGNYrjjk5+EhESWB7EEPhOUiKGLbnILTUBJzAqtZlDJzK4dP6A2OcnUFkckWVN9hBAAICUCdVuRafucoLb/jryCq92WbOif5Rk6yBFejs70F1VrwrQ/efNXtb7/svKMFykAQSu08EchRETZhpWHN7ni/Skv7T1MorTzL+tQEgC3ZEZPKJAbomKQmsE9I0Jh6RvETWAAisVH/OAXo+PG2Sz+SztF2xKltXm7zbdt+DkNKJ/m3JclVaC2nCAKKIGCSf4fbfhDav1UUInKXHCWlNbcL4X2LOK0nA4oTt4PXG19adydox0Uv5LOZo0PDtdVd3f35kkOQY2GwlCMBzkyTWdzlTm1w11MyNcCNa6TZk9ODsIj+O/G4lHrv4zbtpI07xfZt2MthfG7U/Vyj/ENMv8B4dJAYFTOfYHJHdL2UhStjBKIZe596eESxMmqh0Ci0V3+yAJnC7G43P/tTfmXbtzLlS08WDE8ewAFg48++j8Wr1rzY2lLa15wj1/R09WQzTqhgOjIqkBqSmxgWExvAyUjBtB88oXAaP3I6yEkybtzYZy0wRHbvOOiVDT2qQqvAHXMCWefU/2z1vp8GMo0Aqt5HYQTKAWXPQd2L6CjrMRU/LgFykycRpWiGqFZnq2oLMAK3VE1ESG+o7wNufsFAtjTzIwD/XqnjTycYezn6mFQOnjY6i5QX8+X727IdfsnFd154aU/OdZlUJuX9ML6i6UVLizVRzQBMTk4gOblxvv5BTYkVk1zma5J+RNeRT+7Etc3jkXKN4xpp9nA9F8pHgshSoi0nCBNzFe8m+gNDB1ypy6qybxqrCpxEaGuKsqQQaTlJvgKEK54dXty0lWtVhYcWFUA6oASHED5ypYUVkjnrv9WCxgeCWmVCbvjxjJMqwQHgyUfXY9VVa8Tcs6Zs8zl52XGcdx0+0uMUMmHHYUoN+WEAV4E71d2ekNJ1YrxTJKP9KI+kncnHqfJMWn+PWJI9SUnSJPXkSPDEgq6zv96cNmHGKEhSN5AnCWLPaVOO8R6Qyrc5H76qmBTFxYUgoMRDqWluJVPofC91Z/yIe/3B9IV/dLLhd/IBDgAbHl2Pcy66QVy0atm2ob6hV4tZev1Qf4+bc0OZwFUmifXDiaTbPAUEaf119I+tXlPqEdIY0ExXfoJ/U6SA2QT7xABuUiSkzKUvzhSgw7iGup9K6pqANoEef+xprBJtbQmxHNEPaxFYT0Siz+WCoOY5qNQcBL5AuXn2cLHc+f5ps857oDK4m3csuOVUQO/UABwANj6+HgsXr0a72PbylGmzdjWVyNXVkcHcUJWjFlBt5rIkd0rsiPk+bkYk0f2tz7/1D0xswKQEWBHjM9hBVeOQ4PQ4AD6KBE8FOFIW4Vj7lL1MK5skIQhss5HcFilz1qsBcv39wt+lVqPo7svBLczqKzWe9aF/31C7v6OtDx3z/+RUwe7UARwAnnr8AVxxwy1YvXzq1hkdrQdaWqes3rKrv3CktwqHER34E28OVc97aUquVHADo4IApM5+rSyaAIsAmjYXUZ4TkOAmgGnKXMo2UuaSTx2TriSjGG0lJBaPQ6ydUay5ZUch1qE6R5ZxZNwKSuU83IaLj40Ecz9+uHfK985dWMG8ZX98KiF38pXM+Pjr2/4IALBr/9HvLr+YOUPu1Du//YMNbdX+Prg5aj1Ok9xb2Pfe2E594hr7rIew+SOPMsbaP/ET7KEcM+O5DlEnjPPCdiaQ+XFJ6LaXNzPMlbDMJTp+hRBIBZfIgCroJAkCVWkr5NuFQglTZlx5dEHrFZ8GvO8ScnzZ8JM1TjnA1ZgzvQ3dfcP3fvjm1aTgsjv++YePtw309YI4UZShDhk1lMi4M8b4HcLNeqBOG+MEenykhIekfKgTGCngFsJe0OM5R8+r3aOcr0BJNMjlf9LMEv19EnlVjTgXyHBdQWRzqIAjk21Gw7Rrjuaa3347D8S9zClN4KZMbJw2gANAS2MBPf3D33zPDSv91gK568FHnmzesfcYAm7EpVDb5T6G0zAxN9qPay6KSQfrKRqp+BYRdY7v0+G1QCK/U0thdV1CtBc0uieKuwutZ4ax6mHPCE6no6nz8p5i68pPAeI7pxPcwGkGOAA0NxTgebX7rr96effeNw7NmznH++LDj25yMwwhL6dR6GvqE3kS3ATiOKW4+aif0BoYzwVO4A/UA/eY5wkSe59+8VCSy7gWIUCpjzytobXzUm+wUv7LpvaLd4IU/pU5px1epx/gAOC6Gb5h0/aH/+Dm6zLP/Wr7cDHL7t68+QXiexXqOuFNN+Oc1TCL5KT9GNqZMdYvPdpjnoz/8NQxGj0Yx3VOdD8Z66S4vhL/bNZ9Jta8KgEXWpk4HLfEG6deLMotC/6ss3XRt2tDu2uuu2y8d+ikjjMC4ABw2cqFeHrzK7VFc6beB7/2H5QP//7hw4f+dv/+g2CMwQ8IAi5gur4IjAAi9QYxjx4ZJyBH+aHHXCCnaUSmveM8J3K0G19fGLZu9d0jd7x6EYIgCAhqHgHnHC1TOlBsavsf+fK8H9Ls9H193V21ptYzA9zAGQRwALh0xWIAGPnaveu3L1q85M6OtmJm+tSGz+zYuY919VTCGGJ1MIkUHlW2Oi1kWknwCdEJowTDqRxktB0TKJ8V9aWX2ySaN7PtlaQGQs6tjgm4QNUvoKllZlBqbv27uQva7ty3ryc4d+YVp/YGTeQenu7x3e89gPf91xvR233s737wyFOf/OnPn8sO9/fBDwIwnegb9U+M+irGviCJvJS2TTnmyZR19RKZ9MbxOmlYHU+ixGKdYEzNORWwFU9Chv78VgKyerWSjiGPN5KHDcsSNZKOzRj4KHlYHmueYyYeKxQYUjosEUEQyLDY8O9zQAhQSlEqF9HQdmG1c9aV/zCltfkzzz39EC689F2nGzKp44wFOACMDA1g+5EALQVyx7ZXd17y/R88Qrt6Ry7pPtbtNBYZGKPwAwHPD5uD6qZFSuogBnCrbqHhsKFRsnIawHWZCFkSgqlz6gA83D95ADcTr80s+dEArvfrTPoI4Ew189WZ8uEws3X8gKDmhdSQEo58toJyucmv8fIzSy94B5/SPvsZQqu39/c3obGxeLqhUnecURQlPvJFnb50+7p/eghLz19RHhwY+PqBvbtvrgwcppVqBcNVgkpNIJCgVr0VARiufyPtS3n15IUTZjRjzsqRVFYJISCkQ2TcDpnJGnEHFkmdtr5MlEkvbC+vJcVDHseDkO4x+aWHfYKefoJ8voDO6Z18+lmd6/P54gf9ys4Byi6czG920sYZLcHj48WXXkcul2s9ePDgx17e+qulhPeteeTJbdh9kKGpSOHQsN2FF4SSiBKZXMGUTV05johVACj60c1tYtGXupSEIKx5UkeCq2MmJMFjdVKIKcljVCV6ahn5qkYWFKOhK91h6pVLcx+B74cRgIwKFPPDeGWXwGBwPs7qaP7x+ecv3drePu0r1Wqlq9w873RDYdzjjJbg8bHsnLkA0HXk8IG/WbZk4ayhvq0YZg1r7nvwFQT+IPJ5ipEaw0CVgFGBDAulNaVhBzZFOM3w2LQRCmeZw4jIemDxVdNMEx91RWrdP5Y+6nhl9UKE+T2EdY5++ihuzQnADCc8CYsEuSyA4wRgDBgazmKgnyLjVDGtzcX8s5eip7byx29bueTjvX2DezKF0+Nun8h4U0lwcwj/EMCc+U89u3PZoSPex3btfHX1vt07sPvQMTy/jwBBFq0FjoILZF0BVxa3ZYbzyHT9W15NLcmNKlRKKhtPACWRTQluKpfMiCiMS3BTH2CyNlKishWzS9LpHkRGhStCI/5tRQZGBdQsxZIxAZdxuC5H1g2Qz9XQWBqBxyt4/uUWVL3pWLx4HhYsmPWkxzNfGeJLX6So7Zgzs+10/+QnNN5UEtwcxJkGADuEEDsAbH30cb/jyrct/Vp18IX5G55/gt21vgVVj6GQMdubECuAS41EHRJAS2htNiPGgSQWvZT4cOkBYdaIOanqcnqSfl3lLtevJJrTf8JMOpa9o4gIOwkz2YXBYQH8YBhf/2kO06auCi5fec6OQtb7UEvH2w4C2E7Im1YGht/vdH+AiQ75A2zv7+/bDgTXFgif3jHnvPUv7NnUsH/X/iK8fjBKQ0nITB5uZpnL/pEpI16WQcRt4qb2mvr56n/20ZxIJi2xAs0MXg3FwaFMnMJaNPGqseqzEhD4hMDzBQgtI9cwZ+j3f/f6/p37nJtmzJix33Xpnjc7sM37+JYZQgQAKO3qHWh8bsvrFzPw//Prra/6L72yvaWnu7ssZPcAhwGOEyZZ+IFAENgATyRXGLZvVWxTzWnKY9ATJreVidA0O5pJy/FsIpOSMPVe0RMabasimzRm247i40WY4BtQ+IGsVkWkYukQuIygsal5YFrnvO62jvmO64gPBO7C/3QyjX2CgzcU3zqweOt8E2Ps2HUAjuPQ7p6+3HXv/svqzx9c9xdPbtz0h69s2+kNDA6fTUmQQzCCqg8MDnP4PIq3IEg6hUzLiwK4WS02BCIBo9SoIEsiWzsllnUm7mDSAKfqVchrym21jwn5XujjIn4N7bgJnTWA5xP0DTJUa8CU5hyKBVZxM/ltU9rnunMXXnjf5kc/8aVV163LZnKNFc59Xii9+ZTIscZbEuDmeG3HbriOQx574heg1GENDcW7A7+6cLDnjbftP/QGe/6lYXh+gErFA2MUrkMjT6nh3WSUSIoTSWyWAnDGkqWT7Uya8JYn6pgrKc0MgDMT4OGcIxVFSm3njsMEKBOgCMBFAJAMCKHYtq+ExqbOYNnimRsbGrLbq5XBW2teECxcfAmCwBctrcff2OnNNN70HHyssWD+bCBSHf2e3oEPEpZvJv6Bv9/yywczOw4cC/LZwgWez5fvP9SFgaEhZF2CfJZJJ5FkuFJBEyIqsRAPTgqVPqItMMSQ0tHzIRy61Y2c1l1HzBIa5j/DQqIojIpdFRDg3IPLfBSKBeSL0+AHzvPV2uAvSfksdtmV19fmz2z768Hhak+5oeF0/ySndLzlJfhY4/sPPgFCsLpSrV3T2z90U2VkeJFXG8Er27Yj8H30DVRQ8wJkHKCQc5DNOJorEynFHUbgOFTGrxMp1ZW5kFgWG86FVknVIogoiCyIxADXEXAcWHQkTALx4TAPGZeDEAcceTiOg47p81Aqucjnc686mdJ6RjOPAniyY85Vp/sWn9bx/z3A1Th4uBsArvV9f17XsWP8G9/+IZ/aNmVOuXHKp7fv3IuGgouuo4fR29sD15HAdBy4jCLjErguhcNCkFNJVTRPl3eZc8Dnwg4lIETzbUU7XCe03WdcAYcJ+L4PEAGXCTQ1NaG9vRVZt4qGphk4eqzvzuHB7l0XXPx7tFRupo7DdgL4t0xuyum+pWfE+A3A64xd+44gn8s2vb77wOpnn9+Kcp55zY35TwDi7ZQAnhfgqaefx8jwIIp5hlyGwXUp/MCHV6uBMSDjUsuZ4wciVGp9DioVUkIA16FwHQI3k0E248BlQD4nUMwFKJdLmD7rPFDKwkXDyGNUDN2Vy1Td9s5zUCxPfzIIqr2Z/LTTfcvOyPGW5+AnOubMaAeAXgAPAcC+/QcBYBsPgqkE4JWqhxdefBW1agWu6yCTYeDc91ZceOHa/v6BGwT3vXyO6iykfFbAC4BjvQF8nyOXZXKfQDZLUci5bjZfeuTlrVvW5rIZ13EEXJegWCxi1pwlYMwN+3RRdhjAruaW3wB6POM3EnwSx6ZNz4IQMvXAgUONPKiJQp7JOHWBQjaU4F29AfxAIC8BzrlANktQLGRJc0t7nxA4vGLF5LTv+M0A/h/C+Tx/s4KtHAAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxNzowMzowMCswMDowMEirebQAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTc6MDM6MDArMDA6MDA59sEIAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 146355000
    {'hecke_orbit_code': 13513891292119352, 'n': 1, 'trace_an': 56}
  • id: 146355001
    {'hecke_orbit_code': 13513891292119352, 'n': 2, 'trace_an': 0}
  • id: 146355002
    {'hecke_orbit_code': 13513891292119352, 'n': 3, 'trace_an': 28}
  • id: 146355003
    {'hecke_orbit_code': 13513891292119352, 'n': 4, 'trace_an': 0}
  • id: 146355004
    {'hecke_orbit_code': 13513891292119352, 'n': 5, 'trace_an': 0}
  • id: 146355005
    {'hecke_orbit_code': 13513891292119352, 'n': 6, 'trace_an': 0}
  • id: 146355006
    {'hecke_orbit_code': 13513891292119352, 'n': 7, 'trace_an': 0}
  • id: 146355007
    {'hecke_orbit_code': 13513891292119352, 'n': 8, 'trace_an': -12}
  • id: 146355008
    {'hecke_orbit_code': 13513891292119352, 'n': 9, 'trace_an': -28}
  • id: 146355009
    {'hecke_orbit_code': 13513891292119352, 'n': 10, 'trace_an': 0}
  • id: 146355010
    {'hecke_orbit_code': 13513891292119352, 'n': 11, 'trace_an': 0}
  • id: 146355011
    {'hecke_orbit_code': 13513891292119352, 'n': 12, 'trace_an': 0}
  • id: 146355012
    {'hecke_orbit_code': 13513891292119352, 'n': 13, 'trace_an': 0}
  • id: 146355013
    {'hecke_orbit_code': 13513891292119352, 'n': 14, 'trace_an': -28}
  • id: 146355014
    {'hecke_orbit_code': 13513891292119352, 'n': 15, 'trace_an': 0}
  • id: 146355015
    {'hecke_orbit_code': 13513891292119352, 'n': 16, 'trace_an': 12}
  • id: 146355016
    {'hecke_orbit_code': 13513891292119352, 'n': 17, 'trace_an': 0}
  • id: 146355017
    {'hecke_orbit_code': 13513891292119352, 'n': 18, 'trace_an': 0}
  • id: 146355018
    {'hecke_orbit_code': 13513891292119352, 'n': 19, 'trace_an': -8}
  • id: 146355019
    {'hecke_orbit_code': 13513891292119352, 'n': 20, 'trace_an': -4}
  • id: 146355020
    {'hecke_orbit_code': 13513891292119352, 'n': 21, 'trace_an': 0}
  • id: 146355021
    {'hecke_orbit_code': 13513891292119352, 'n': 22, 'trace_an': 10}
  • id: 146355022
    {'hecke_orbit_code': 13513891292119352, 'n': 23, 'trace_an': 0}
  • id: 146355023
    {'hecke_orbit_code': 13513891292119352, 'n': 24, 'trace_an': -6}
  • id: 146355024
    {'hecke_orbit_code': 13513891292119352, 'n': 25, 'trace_an': 0}
  • id: 146355025
    {'hecke_orbit_code': 13513891292119352, 'n': 26, 'trace_an': 34}
  • id: 146355026
    {'hecke_orbit_code': 13513891292119352, 'n': 27, 'trace_an': -56}
  • id: 146355027
    {'hecke_orbit_code': 13513891292119352, 'n': 28, 'trace_an': -14}
  • id: 146355028
    {'hecke_orbit_code': 13513891292119352, 'n': 29, 'trace_an': 0}
  • id: 146355029
    {'hecke_orbit_code': 13513891292119352, 'n': 30, 'trace_an': 0}
  • id: 146355030
    {'hecke_orbit_code': 13513891292119352, 'n': 31, 'trace_an': 0}
  • id: 146355031
    {'hecke_orbit_code': 13513891292119352, 'n': 32, 'trace_an': -30}
  • id: 146355032
    {'hecke_orbit_code': 13513891292119352, 'n': 33, 'trace_an': 0}
  • id: 146355033
    {'hecke_orbit_code': 13513891292119352, 'n': 34, 'trace_an': 56}
  • id: 146355034
    {'hecke_orbit_code': 13513891292119352, 'n': 35, 'trace_an': 0}
  • id: 146355035
    {'hecke_orbit_code': 13513891292119352, 'n': 36, 'trace_an': 0}
  • id: 146355036
    {'hecke_orbit_code': 13513891292119352, 'n': 37, 'trace_an': 0}
  • id: 146355037
    {'hecke_orbit_code': 13513891292119352, 'n': 38, 'trace_an': 0}
  • id: 146355038
    {'hecke_orbit_code': 13513891292119352, 'n': 39, 'trace_an': 0}
  • id: 146355039
    {'hecke_orbit_code': 13513891292119352, 'n': 40, 'trace_an': -28}
  • id: 146355040
    {'hecke_orbit_code': 13513891292119352, 'n': 41, 'trace_an': 40}
  • id: 146355041
    {'hecke_orbit_code': 13513891292119352, 'n': 42, 'trace_an': -14}
  • id: 146355042
    {'hecke_orbit_code': 13513891292119352, 'n': 43, 'trace_an': 0}
  • id: 146355043
    {'hecke_orbit_code': 13513891292119352, 'n': 44, 'trace_an': -44}
  • id: 146355044
    {'hecke_orbit_code': 13513891292119352, 'n': 45, 'trace_an': 0}
  • id: 146355045
    {'hecke_orbit_code': 13513891292119352, 'n': 46, 'trace_an': -18}
  • id: 146355046
    {'hecke_orbit_code': 13513891292119352, 'n': 47, 'trace_an': 0}
  • id: 146355047
    {'hecke_orbit_code': 13513891292119352, 'n': 48, 'trace_an': -12}
  • id: 146355048
    {'hecke_orbit_code': 13513891292119352, 'n': 49, 'trace_an': 24}
  • id: 146355049
    {'hecke_orbit_code': 13513891292119352, 'n': 50, 'trace_an': -72}
  • id: 146355050
    {'hecke_orbit_code': 13513891292119352, 'n': 51, 'trace_an': 0}
  • id: 146355051
    {'hecke_orbit_code': 13513891292119352, 'n': 52, 'trace_an': 32}
  • id: 146355052
    {'hecke_orbit_code': 13513891292119352, 'n': 53, 'trace_an': 0}
  • id: 146355053
    {'hecke_orbit_code': 13513891292119352, 'n': 54, 'trace_an': 0}
  • id: 146355054
    {'hecke_orbit_code': 13513891292119352, 'n': 55, 'trace_an': 0}
  • id: 146355055
    {'hecke_orbit_code': 13513891292119352, 'n': 56, 'trace_an': -54}
  • id: 146355056
    {'hecke_orbit_code': 13513891292119352, 'n': 57, 'trace_an': -16}
  • id: 146355057
    {'hecke_orbit_code': 13513891292119352, 'n': 58, 'trace_an': -16}
  • id: 146355058
    {'hecke_orbit_code': 13513891292119352, 'n': 59, 'trace_an': 32}
  • id: 146355059
    {'hecke_orbit_code': 13513891292119352, 'n': 60, 'trace_an': -20}
  • id: 146355060
    {'hecke_orbit_code': 13513891292119352, 'n': 61, 'trace_an': 0}
  • id: 146355061
    {'hecke_orbit_code': 13513891292119352, 'n': 62, 'trace_an': 0}
  • id: 146355062
    {'hecke_orbit_code': 13513891292119352, 'n': 63, 'trace_an': 0}
  • id: 146355063
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  • id: 146355064
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  • id: 146355065
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  • id: 146355066
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  • id: 146355067
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  • id: 146355068
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  • id: 146355069
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  • id: 146355070
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  • id: 146355071
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  • id: 146355072
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  • id: 146355073
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  • id: 146355074
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  • id: 146355075
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  • id: 146355076
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  • id: 146355077
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  • id: 146355078
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  • id: 146355079
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  • id: 146355080
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  • id: 146355081
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  • id: 146355082
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  • id: 146355083
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  • id: 146355084
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  • id: 146355085
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  • id: 146355086
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  • id: 146355087
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  • id: 146355088
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  • id: 146355089
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  • id: 146355090
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  • id: 146355091
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  • id: 146355092
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  • id: 146355093
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  • id: 146355094
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  • id: 146355095
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  • id: 146355096
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  • id: 146355097
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  • id: 146355098
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  • id: 146355099
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  • id: 146355100
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  • id: 146355101
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  • id: 146355102
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  • id: 146355103
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  • id: 146355104
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  • id: 146355105
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  • id: 146355106
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  • id: 146355107
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  • id: 146355108
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  • id: 146355109
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  • id: 146355110
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  • id: 146355111
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  • id: 146355112
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  • id: 146355113
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  • id: 146355114
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  • id: 146355115
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  • id: 146355116
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  • id: 146355117
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  • id: 146355118
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  • id: 146355119
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  • id: 146355120
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  • id: 146355121
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  • id: 146355122
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  • id: 146355123
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  • id: 146355124
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  • id: 146355125
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  • id: 146355126
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  • id: 146355127
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  • id: 146355128
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  • id: 146355129
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  • id: 146355130
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  • id: 146355131
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  • id: 146355132
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  • id: 146355133
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  • id: 146355134
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  • id: 146355135
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  • id: 146355136
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  • id: 146355137
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  • id: 146355138
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  • id: 146355139
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  • id: 146355140
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  • id: 146355141
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  • id: 146355142
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  • id: 146355143
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  • id: 146355144
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  • id: 146355145
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  • id: 146355146
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  • id: 146355147
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  • id: 146355148
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  • id: 146355149
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  • id: 146355150
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  • id: 146355151
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  • id: 146355152
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  • id: 146355153
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  • id: 146355154
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  • id: 146355155
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  • id: 146355156
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  • id: 146355157
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  • id: 146355158
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  • id: 146355159
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  • id: 146355160
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  • id: 146355161
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  • id: 146355162
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  • id: 146355163
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  • id: 146355164
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  • id: 146355165
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  • id: 146355166
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  • id: 146355167
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  • id: 146355168
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  • id: 146355169
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  • id: 146355170
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  • id: 146355171
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  • id: 146355172
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  • id: 146355173
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  • id: 146355174
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  • id: 146355175
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  • id: 146355176
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  • id: 146355177
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  • id: 146355178
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  • id: 146355179
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  • id: 146355180
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  • id: 146355181
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  • id: 146355182
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  • id: 146355183
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  • id: 146355184
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  • id: 146355185
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  • id: 146355186
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  • id: 146355187
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  • id: 146355188
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  • id: 146355189
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  • id: 146355190
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  • id: 146355191
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  • id: 146355192
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  • id: 146355193
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  • id: 146355194
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  • id: 146355195
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  • id: 146355196
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  • id: 146355197
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  • id: 146355198
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  • id: 146355199
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  • id: 146355200
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  • id: 146355201
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  • id: 146355202
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  • id: 146355203
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  • id: 146355204
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  • id: 146355205
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  • id: 146355206
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  • id: 146355207
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  • id: 146355208
    {'hecke_orbit_code': 13513891292119352, 'n': 209, 'trace_an': -64}
  • id: 146355209
    {'hecke_orbit_code': 13513891292119352, 'n': 210, 'trace_an': 98}
  • id: 146355210
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  • id: 146355211
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  • id: 146355212
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  • id: 146355213
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  • id: 146355214
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  • id: 146355215
    {'hecke_orbit_code': 13513891292119352, 'n': 216, 'trace_an': 12}
  • id: 146355216
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  • id: 146355217
    {'hecke_orbit_code': 13513891292119352, 'n': 218, 'trace_an': -36}
  • id: 146355218
    {'hecke_orbit_code': 13513891292119352, 'n': 219, 'trace_an': 28}
  • id: 146355219
    {'hecke_orbit_code': 13513891292119352, 'n': 220, 'trace_an': 0}
  • id: 146355220
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  • id: 146355221
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  • id: 146355222
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  • id: 146355223
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  • id: 146355224
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  • id: 146355225
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  • id: 146355226
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  • id: 146355227
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  • id: 146355228
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  • id: 146355229
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  • id: 146355230
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  • id: 146355231
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  • id: 146355232
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  • id: 146355233
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  • id: 146355234
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  • id: 146355235
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  • id: 146355236
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  • id: 146355237
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  • id: 146355238
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  • id: 146355239
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  • id: 146355240
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  • id: 146355241
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  • id: 146355242
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  • id: 146355243
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  • id: 146355244
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  • id: 146355245
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  • id: 146355246
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  • id: 146355247
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  • id: 146355248
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  • id: 146355249
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  • id: 146355250
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  • id: 146355251
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  • id: 146355252
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  • id: 146355253
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  • id: 146355254
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  • id: 146355255
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  • id: 146355256
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  • id: 146355257
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  • id: 146355258
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  • id: 146355259
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  • id: 146355260
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  • id: 146355261
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  • id: 146355262
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  • id: 146355263
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  • id: 146355463
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  • id: 146355468
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  • id: 146355469
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  • id: 146355470
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  • id: 146355473
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  • id: 146355477
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  • id: 146355480
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  • id: 146355481
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  • id: 146355513
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  • id: 146355514
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  • id: 146355522
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  • id: 146355523
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  • id: 146355527
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  • id: 146355528
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  • id: 146355529
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  • id: 146355535
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  • id: 146355537
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  • id: 146355538
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  • id: 146355545
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  • id: 146355546
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  • id: 146355553
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  • id: 146355555
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  • id: 146355561
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  • id: 146355562
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  • id: 146355563
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  • id: 146355564
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  • id: 146355565
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  • id: 146355567
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  • id: 146355568
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  • id: 146355569
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  • id: 146355570
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  • id: 146355571
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  • id: 146355572
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  • id: 146355573
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  • id: 146355574
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  • id: 146355575
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  • id: 146355576
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  • id: 146355577
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  • id: 146355578
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  • id: 146355579
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  • id: 146355580
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  • id: 146355581
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  • id: 146355584
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  • id: 146355585
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  • id: 146355586
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  • id: 146355587
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  • id: 146355589
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  • id: 146355590
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  • id: 146355591
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  • id: 146355592
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  • id: 146355593
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  • id: 146355594
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  • id: 146355595
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  • id: 146355599
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  • id: 146355600
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  • id: 146355601
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  • id: 146355602
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  • id: 146355607
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  • id: 146355608
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  • id: 146355610
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  • id: 146355611
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  • id: 146355612
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  • id: 146355613
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  • id: 146355614
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  • id: 146355615
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  • id: 146355616
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  • id: 146355617
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  • id: 146355618
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  • id: 146355619
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  • id: 146355621
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  • id: 146355622
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  • id: 146355623
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  • id: 146355625
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  • id: 146355626
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  • id: 146355627
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  • id: 146355628
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  • id: 146355629
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  • id: 146355631
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  • id: 146355632
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  • id: 146355639
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  • id: 146355640
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  • id: 146355660
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  • id: 146355762
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  • id: 146355763
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  • id: 146355769
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  • id: 146355771
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  • id: 146355781
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  • id: 146355802
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  • id: 146355811
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  • id: 146355815
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  • id: 146355816
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  • id: 146355817
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  • id: 146355818
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  • id: 146355819
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  • id: 146355823
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  • id: 146355825
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  • id: 146355826
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  • id: 146355827
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  • id: 146355831
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  • id: 146355832
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  • id: 146355855
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  • id: 146355911
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  • id: 146355912
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  • id: 146355913
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  • id: 146355922
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  • id: 146355923
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  • id: 146355925
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  • id: 146355927
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  • id: 146355928
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  • id: 146355929
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  • id: 146355930
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  • id: 146355931
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  • id: 146355933
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  • id: 146355935
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  • id: 146355936
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  • id: 146355937
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  • id: 146355938
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  • id: 146355945
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  • id: 146355946
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  • id: 146355951
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  • id: 146355952
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  • id: 146355954
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  • id: 146355955
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  • id: 146355959
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  • id: 146355961
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  • id: 146355962
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  • id: 146355963
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  • id: 146355964
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  • id: 146355970
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  • id: 146355979
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  • id: 146355984
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  • id: 146355985
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  • id: 146355989
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  • id: 146355990
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  • id: 146355991
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  • id: 146355992
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  • id: 146355993
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  • id: 146355999
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