Embedded newform data - 784.2.x.n.373.1

Formats: - HTML - YAML - JSON - 2026-06-09T00:00:38.843057

• mf_newforms •

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

  
  {'Nk2': 3136, 'analytic_conductor': 6.260271518468382, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 112, 'char_degree': 4, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 12, 'char_parity': 1, 'char_values': [784, 12, [687, 197, 689], [12, 3, 8]], 'cm_discs': [], 'conrey_index': 165, 'dim': 40, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [319794774016, 0, 0, 0, -256033067008, 0, 0, 0, 143584211200, 0, 0, 0, -40915214848, 0, 0, 0, 8394086528, 0, 0, 0, -639742720, 0, 0, 0, 34421424, 0, 0, 0, -1007232, 0, 0, 0, 20936, 0, 0, 0, -168, 0, 0, 0, 1]], [5, [81867462148096, 0, 0, 0, -90272317374464, 0, 0, 0, 84101591847168, 0, 0, 0, -16224454550016, 0, 0, 0, 2467458621568, 0, 0, 0, -67841683456, 0, 0, 0, 1297863856, 0, 0, 0, -13188608, 0, 0, 0, 97224, 0, 0, 0, -376, 0, 0, 0, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58548375737336592, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, 0], [1, 1, 7, 3, 1, 3, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 16, 5, 1, 4, 0], [1, 1, 112, 12, -1, 4, 0], [1, 1, 112, 23, 1, 12, 0], [1, 1, 112, 24, -1, 12, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '784.2.x.n', 'level': 784, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '784.2.m.i', 'prim_orbit_index': 23, 'related_objects': [], 'relative_dim': 10, 'rm_discs': [], 'sato_tate_group': '1.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '784.2.x', 'trace_display': [0, 0, 0, 0], 'traces': [40, 0, 0, 8, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -32, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, -8, 0, 40, 0, 0, 0, 80, 20, 0, 0, 0, 0, 0, 120, -56, 0, 64, 0, 0, 0, -112, 16, 0, -28, 0, 0, 0, 0, 72, 0, 24, 0, 0, 0, -64, -16, 0, -12, 0, 0, 0, 0, -16, 0, 16, 0, 0, 0, -176, 72, 0, -12, 0, 0, 0, 64, 40, 0, -80, 0, 0, 0, -48, -48, 0, -64, 0, 0, 0, -216, 56, 0, -152, 0, 0, 0, -32, 12, 0, 60, 0, 0, 0, 32, -72, 0, 16, 0, 0, 0, 336, 0, 0, -64, 0, 0, 0, 128, -112, 0, 88, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 160, 24, 0, 192, 0, 0, 0, 32, 36, 0, 0, 0, 0, 0, -192, -56, 0, 64, 0, 0, 0, -128, 20, 0, -64, 0, 0, 0, 0, -24, 0, 72, 0, 0, 0, -160, 32, 0, 60, 0, 0, 0, 0, 72, 0, -152, 0, 0, 0, -384, -184, 0, 0, 0, 0, 0, -120, 136, 0, -144, 0, 0, 0, -64, -64, 0, 72, 0, 0, 0, 216, -96, 0, -160, 0, 0, 0, 224, -48, 0, 0, 0, 0, 0, -72, 96, 0, -176, 0, 0, 0, 336, 0, 0, 144, 0, 0, 0, -256, -128, 0, 24, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 176, -192, 0, 160, 0, 0, 0, 320, -100, 0, 0, 0, 0, 0, 192, 88, 0, 328, 0, 0, 0, -112, 92, 0, 124, 0, 0, 0, 0, 24, 0, 128, 0, 0, 0, -368, -108, 0, -224, 0, 0, 0, 0, 136, 0, -184, 0, 0, 0, -320, 320, 0, 80, 0, 0, 0, -224, 136, 0, -264, 0, 0, 0, 0, 108, 0, 8, 0, 0, 0, -192, -56, 0, -168, 0, 0, 0, 32, 12, 0, -108, 0, 0, 0, 160, 72, 0, -176, 0, 0, 0, 192, 0, 0, -76, 0, 0, 0, -224, -16, 0, 192, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, -384, -128, 0, 112, 0, 0, 0, 192, -4, 0, 0, 0, 0, 0, -120, 40, 0, 8, 0, 0, 0, -80, -124, 0, 212, 0, 0, 0, 0, 32, 0, 136, 0, 0, 0, -512, 0, 0, 176, 0, 0, 0, 0, 176, 0, -56, 0, 0, 0, -192, -336, 0, 32, 0, 0, 0, 120, 0, 0, -232, 0, 0, 0, -144, 128, 0, 96, 0, 0, 0, 224, 256, 0, -240, 0, 0, 0, 48, -172, 0, -64, 0, 0, 0, -112, -112, 0, 0, 0, 0, 0, 592, 0, 0, 272, 0, 0, 0, 432, -112, 0, 8, 0, 0, 0, 400, 0, 0, 0, 0, 0, 0, -200, -32, 0, 320, 0, 0, 0, -368, 160, 0, 0, 0, 0, 0, -24, -176, 0, 352, 0, 0, 0, 96, 44, 0, -176, 0, 0, 0, 0, 48, 0, 40, 0, 0, 0, -288, 160, 0, -112, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, -368, 256, 0, -60, 0, 0, 0, 256, 80, 0, -160, 0, 0, 0, -256, -156, 0, -208, 0, 0, 0, 88, 16, 0, -328, 0, 0, 0, 336, 320, 0, 84, 0, 0, 0, -320, -256, 0, -144, 0, 0, 0, 32, 0, 0, -236, 0, 0, 0, -208, -16, 0, 160, 0, 0, 0, 784, 0, 0, 0, 0, 0, 0, 480, -104, 0, 128, 0, 0, 0, 512, -144, 0, 0, 0, 0, 0, -408, -152, 0, 352, 0, 0, 0, -160, -288, 0, -228, 0, 0, 0, 0, -8, 0, -16, 0, 0, 0, -480, -156, 0, 320, 0, 0, 0, 0, -80, 0, -96, 0, 0, 0, 48, -272, 0, 0, 0, 0, 0, 64, 88, 0, -392, 0, 0, 0, -560, -20, 0, 304, 0, 0, 0, 136, 240, 0, -152, 0, 0, 0, 720, -120, 0, 128, 0, 0, 0, 112, -112, 0, -56, 0, 0, 0, 256, 0, 0, -68, 0, 0, 0, 832, -80, 0, 136, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, -56, -152, 0, 288, 0, 0, 0, -32, -196, 0, 0, 0, 0, 0, 288, 136, 0, 192, 0, 0, 0, -448, 336, 0, 76, 0, 0, 0, 0, 112, 0, 56, 0, 0, 0, -448, 360, 0, -76, 0, 0, 0, 0, 192, 0, 280, 0, 0, 0, -656, 64, 0, -224, 0, 0, 0, -184, 120, 0, -120, 0, 0, 0, -704, 160, 0, -496, 0, 0, 0, -32, 80, 0, -208, 0, 0, 0, -288, 304, 0, -96, 0, 0, 0, -224, -224, 0, 0, 0, 0, 0, 512, 0, 0, -352, 0, 0, 0, -192, -120, 0, -56, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, -896, -216, 0, 352, 0, 0, 0, -288, 188, 0, 0, 0, 0, 0, 88, 24, 0, 216, 0, 0, 0, 0, -464, 0, 224, 0, 0, 0, 0, -136, 0, -40, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 96, 0, -272, 0, 0, 0, -416, -312, 0, -80, 0, 0, 0, 272, -104, 0, -200, 0, 0, 0, 448, 84, 0, 512, 0, 0, 0, 280, -192, 0, 56, 0, 0, 0, 768, -380, 0, -112, 0, 0, 0, 128, -40, 0, 72, 0, 0, 0, -304, 0, 0, 148, 0, 0, 0, -64, 80, 0, 24, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, -200, 104, 0, -32, 0, 0, 0, 384, 256, 0, 0, 0, 0, 0, 256, -176, 0, 120, 0, 0, 0, 208, 428, 0, -160, 0, 0, 0, 0, 184, 0, -104, 0, 0, 0, -672, -404, 0, -164, 0, 0, 0, 0, -8, 0, -152, 0, 0, 0, 224, 528, 0, 184, 0, 0, 0, 440, -216, 0, -96, 0, 0, 0, 368, 120, 0, -328, 0, 0, 0, -384, 352, 0, -56, 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], [-0.9996535527523476, 0.026320609218052213], [-1.8088827076372755, -0.4846886607140306], [0.9986144510607812, -0.052622981030864165], [1.2257372228442305, -0.3284352989938787], [1.8210133260329637, 0.43690984679254496], [0.0, 0.0], [-0.9968834149131429, 0.07888889066979331], [2.171108148379962, 1.2534898739069609], [-1.216667952398799, 0.3605836639350139], [-0.3496162526218067, 1.3047856179364183], [-1.831882174319167, -0.3888283004432723], [-0.15488289467287122, 0.15488289467287122], [0.0, 0.0], [-2.3764037317108215, 0.0], [0.9944616437348506, -0.10510013863063665], [-0.2660072301286986, -0.4607380377635726], [-2.2033485910674906, -1.1959107166465477], [0.15695350369078653, 0.5857584501999646], [1.2067556594265367, -0.39248218244031174], [0.0, 0.0], [0.31515237667031204, -1.313535691311846], [-0.13510182618410913, -0.07800107571540543], [1.841481721530737, 0.3404773371050038], [0.5285365900562499, -0.30515074254554275], [0.15075262377505796, -0.15890584806554875], [-1.9955336108890882, -1.9955336108890882], [0.0, 0.0], [-0.5709530529028821, 0.5709530529028821], [2.3755804331786594, -0.06254839396668153], [-0.7963669896719888, -1.379348087582564], [-0.9913508155578227, 0.13123856328396705], [1.2648295873530628, -2.1907491082118824], [0.27804197849983203, 0.4535769439851067], [0.0, 0.0], [2.234062345645031, 1.1375029194336943], [-1.0418453876442269, 0.27916163025736057], [-0.17231664684530862, -0.5814244039610544], [0.35523497266906845, -0.20509500709605602], [-1.1960072121006797, 0.4241087522018915], [0.0, -0.04184965758578128], [0.0, 0.0], [0.6918269948385664, 0.6918269948385664], [-0.28047013337184035, 1.3213756230373777], [3.072898393812166, 0.823380643044864], [0.1371080563607677, 0.07441809008577276], [-0.5457627996264328, 0.9452888978340143], [-1.8498053161942545, -0.29189045889407916], [0.0, 0.0], [-0.5203217265622015, 0.31895642895498116], [0.2578613762226557, 0.9623517573725844], [-0.14651789721407824, 0.16281869647082992], [-0.16068037898864307, 0.5996673381650386], [2.0473659241156983, 1.9423186034082973], [0.0, 1.714150618199441], [0.0, 0.0], [0.0, -1.1356419149173882], [0.5557274156018545, -0.5857830799764758], [-0.2468180348188507, 0.9211374461682551], [-2.373111108041194, 0.12505344849549338], [0.19683101142637194, 0.7345833351483904], [0.832396372509224, 1.3579093519047534], [0.0, 0.0], [0.9875530858577788, -0.15728605345922625], [-0.13897671936147876, 0.24071473900332252], [-1.2067295394517337, 2.2232812145091954], [-0.6758327531737176, -0.1810888404313999], [-0.2898840731145993, -0.4461015692389563], [0.2065771202318983, 0.2065771202318983], [0.0, 0.0], [0.0, 1.1131401287547649], [-2.263228130721106, -1.0783069527095719], [-1.0629922760999437, 0.6137188767527955], [1.0341367389985197, -0.30648692079272155], [-1.103963802826613, 0.2958062094405821], [0.18756039274378222, 0.5766874919532037], [0.0, 0.0], [-0.34971367695616845, 0.21437395339154836], [0.5748660349069408, -0.9956971800044851], [1.1844300579612133, -0.4554414593436599], [1.3889838540676167, 2.405790606137947], [0.0011015084832246436, 0.04183515888709549], [0.05205756477855976, -0.05205756477855976], [0.0, 0.0], [-0.4773775987051691, -0.4773775987051691], [-0.7097966212579983, -0.6733780053027075], [1.3095215748108189, -0.756052633726649], [0.24559355386185788, -1.3282999808674765], [-1.3339962544770296, -0.7701830966202655], [-3.093505676764607, -0.7422148272970005], [0.0, 0.0], [-0.139019285119912, -0.07078354057116855], [0.771980099321961, 2.881068953101627], [0.5206931419285787, -0.9593262144718409], [0.3847675034592327, 0.6664368650928248], [1.8568471909367952, 0.24310133139095483], [1.6750744352716656, 0.0], [0.0, 0.0], [-2.3945902545760087, 2.3945902545760087], [0.5117463350080309, -0.3325411122105546]], 'angles': [None, -0.4012411009228806, -0.18227210801304572, None, 0.1596826208659244, -0.39246548357324046, -0.12618558655877304, 0.007362663402262984, -0.17909354642765055, -0.4411423324009996, -0.43670954838917003, -0.3823220048168886, -0.49666946698931, -0.04364521739673568, 0.17521335031495025, 0.09189994512320651, 0.12077123450479267, 0.02041406857531279, -0.2652148108672407, 0.09394145873540231, -0.43849691795450135, -0.31919374700454217, -0.3691401417764431, -0.30658426004628625, -0.09199732669597659, 0.1792011509728458, -0.15339086559548432, -0.2710304645106751, -0.1468151271101401, -0.1951675598157003, -0.17495702341186786, -0.013635052337069672, -0.3406522414878564, -0.11519190003803896, -0.2954932821789191, -0.2608465350817237, -0.26735992616128934, -0.4417695562633275, 0.12042282517680458, 0.03757935786398242, -0.23674229759549, -0.15317870215462231, 0.21069101134970994, -0.1042104719327354, -0.20760554042581117, -0.28885308509842184, -0.35135835622582906, -0.37627667437395546, -0.0780459464778523, -0.37273091608193065, -0.03369765812270119, -0.3526204975020521, -0.017295074948511138, -0.06076234323553156, 0.20913350658887375, -0.2688287714226673, -0.2891114931930863, -0.22046462760502272, 0.10952625378394781, -0.3666002005466822, -0.41377212989642365, -0.4379422751864671, -0.45105799875754976, -0.40031893210921143, -0.1189651016893216, -0.027304545461445274, -0.3761456650274498, -0.17654382043237513, -0.33604518191845173, -0.17722424865995987, -0.11379083501967065, -0.2620261262463892, -0.033506472127049144, -0.38133393661326, -0.05253100066690917, -0.46928466340154673, 0.1209645521795502, -0.04972154710788272, -0.3618898860055173, -0.46721177043983336, -0.24735747967502456, 0.07713964926556004, -0.07429918077534375, -0.28287419005994136, -0.16514713631111838, -0.3541368138356577, -0.23369905280261666, -0.20576090485923196, -0.2946467299766951, -0.1851837942365281, 0.014756091996825925, -0.4808080884792139, -0.4104870595709107, -0.18361430990714844, 0.006893508364662558, 0.09038919431178613, -0.40416683365315137, -0.24685164264826678, -0.3270289052555579, -0.44624373536434225], 'char_orbit_index': 24, 'conrey_index': 373, 'dual_conrey_index': 557, 'dual_embedding_index': 1, 'dual_embedding_m': 21, 'embedding_index': 1, 'embedding_m': 11, 'hecke_orbit': 14, 'hecke_orbit_code': 58548375737336592, 'label': '784.2.x.n.373.1', 'level': 784, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 3136, 'analytic_conductor': 6.260271518468382, 'char_conductor': 112, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 12, 'char_parity': 1, 'char_values': [784, 12, [687, 197, 689], [12, 3, 8]], 'conrey_index': 165, 'cusp_dim': 416, 'dim': 304, 'eis_dim': 64, 'eis_new_dim': 32, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 1580581520144, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 4, 4, 8, 16, 16, 24, 24, 40, 48, 96], 'label': '784.2.x', 'level': 784, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 480, 'mf_new_dim': 336, 'num_forms': 16, 'prim_orbit_index': 23, 'relative_dim': 76, 'sturm_bound': 224, 'trace_bound': 5, 'trace_display': [2, 2, 2, 0], 'traces': [304, 2, 2, 6, 2, 8, 0, -4, 0, -4, 10, 2, 8, 0, -32, -18, 4, -44, 2, -8, 0, 16, 0, -18, 0, 2, 20, 0, -48, -34, -20, -8, 4, 32, 0, 80, 18, -18, 0, -50, 0, 0, 0, 12, 28, -24, 44, -40, 0, -76, 6, -4, -14, -82, 0, 0, 0, 24, 18, -26, 2, -28, 0, -132, 4, -2, -50, -24, 20, 0, 0, 62, 0, 52, 24, 68, 0, -204, 4, 52, 92, 18, -32, 0, -36, -18, 0, 44, 0, 20, 0, 76, 26, 54, -20, 128, 16, 0, -72, 20, 2, 78, 0, 8, 0, 120, -26, 30, -14, 112, -192, 0, -32, -66, -10, 154, -4, 72, 0, 132, 0, -50, -108, 26, -20, 0, -192, -96, 4, 6, -10, 0, 0, 284, 0, -86, 0, -76, -32, 0, -28, 12, 84, -176, 4, -28, 0, 84, -38, -132, 0, -122, 0, 0, -164, -112, 2, 12, -76, -72, 0, -152, 82, -80, 58, -140, 0, 0, 0, 110, -12, -10, 50, -44, 0, -404, 4, 38, 98, -104, 8, 0, 0, -66, 0, -142, -66, -164, 0, -416, 4, 156, -28, 94, 200, 0, -128, 172, 0, 98, 0, 40, 0, -228, -32, 80, -60, 180, 16, 0, 32, -2, -44, 76, 0, 116, 0, -12, 114, 50, -4, 228, 288, 0, 120, 94, 6, -64, -30, 36, 0, 356, 0, -44, 174, 98, -164, 0, 192, 8, -60, -120, 52, 96, 0, 572, 0, -62, 0, -76, 184, 0, 156, -180, -32, 70, 4, -176, 0, 0, -120, -156, 0, -230, 0, 0, 100, -176, -102, -260, 92, -56, 0, -552, -196, -16, 82, -176, 0, 0, 0, 146, 14, 188, 10, -84, 0, -620, -20, 154, -152, -92, -40, 0, 0, 192, 0, -70, 52, -8, 0, 36, -36, 120, 4, 74, -208, 0, 76, 232, 0, 184, 0, 180, 0, -276, 18, 180, -172, 228, 80, 0, -252, -106, -44, 14, 0, -72, 0, -24, -134, 152, 16, 218, -448, 0, -32, -16, 16, -4, -10, 164, 0, 508, 0, -30, 30, 168, 56, 0, -408, -110, 4, 40, -124, 120, 0, 640, 0, -180, 0, -100, -296, 0, 4, -212, 12, -284, -96, -56, 0, 736, 130, -76, 0, -206, 0, 0, 280, 38, 8, -190, -132, -112, 0, 344, 148, 12, -14, -270, 0, 0, 0, -16, -2, -46, -94, 52, 0, 16, 36, 28, 192, -100, 156, 0, 0, 358, 0, 350, -150, 52, 0, -108, 84, 108, -28, 148, 256, 0, 224, 178, 0, -80, 0, -224, 0, 80, 12, 216, 188, 320, -112, 0, -72, 146, 118, 456, 0, -28, 0, 196, -122, -6, -6, 236, 512, 0, -288, -340, -60, 156, 78, 92, 0, 1068, 0, -156, 178, 86, 168, 0, 480, -286, 32, -84, 86, 168, 0, 528, 0, -222, 0, -68, 424, 0, -232, 194, -140, -192, -28, -92, 0, -384, 196, -164, 0, -202, 0, 0, 296, 88, 204, -58, 188, -256, 0, -344, -150, -240, -164, -246, 0, 0, 0, -102, -98, -288, -30, -136, 0, 104, -32, -64, -262, -76, 60, 0, 0, 192, 0, 66, 122, -100, 0, -496, 188, 172, -148, 144, -456, 0, 112, -124, 0, 320, 0, 4, 0, -580, -78, 136, -420, 156, 80, 0, -264, 20, 72, -238, 0, 388, 0, 72, -150, -64, -174, 210, -560, 0, -168, -366, 10, 128, -4, 68, 0, 544, 0, 16, -214, 64, -68, 0, -296, 180, 4, 372, -198, -144, 0, 348, 0, -98, 0, -20, -464, 0, -92, -222, 36, -218, 4, 136, 0, 116, -262, -74, 0, -264, 0, 0, -352, -138, 0, -98, -124, -24, 0, -320, 80, 20, -14, -204, 0, 0, 0, -268, 42, -206, 86, -296, 0, -536, -36, 202, 442, -72, -220, 0, 0, -218, 0, 44, -88, 308, 0, -788, 184, 196, 36, 30, 416, 0, -744, 324, 0, -330, 0, 248, 0, -584, -118, 146, 436, 212, 88, 0, 464, 552, -142, 278, 0, 0, 0, 1360, 260, 184, -16, 234, 704, 0, -352, 90, -36, -240, -86, 84, 0, 500, 0, 8, 266, 12, -292, 0, 544, -74, 68, -50, 214, 176, 0, -372, 0, -236, 0, -178, 596, 0, -32, -606, 4, -14, 64, 232, 0, 200, -158, -116, 0, -250, 0, 0, 560, 528, -288, 110, 332, 0, 0, 528, -126, 40, 104, -274, 0, 0, 0, 48, -40, -90, 66, 8, 0, -664, 132, 44, 130, -120, -168, 0, 0, 386, 0, 280, 236, -92, 0, -1364, -268, 32, 4, 4, -564, 0, 176, 284, 0, 438, 0, -216, 0, -660, 324, 146, -332, 188, -176, 0, 260, 32, -38, 6, 0, 192, 0, -604, -60, -64, 172, 106, -792, 0, -32, 396, 114, -50, 6, 60, 0, -540, 0, -212, -282, -10, -8, 0, 712, -686, 76, -424, -14, -232, 0, -300, 0, -94, 0, -138, -528, 0, 52, -70, 116, 432, 228, -456, 0, -120, 186, -266, 0, -214, 0, 0, -384, -236, 2, -312, -316, -120, 0, -856, -240, -220, 50, -132, 0, 0, 0, 16, 92, 2, -94, -228, 0, -1380, -60, -40, 6, -52, 216, 0, 0, 112, 0, 54, -166, -408, 0, -124, 332, 120, 36, -10, 768, 0, 356, -602, 0, 12, 0, -92, 0, 836, 202, -22, 596, 144, 144, 0, 352, -404, 246, 128, 0, 4, 0, -128, 282, -56, 122, 214, 720, 0, 408, -226, -16, 534, -10, -12, 0, -752, 0, 106, 190, 162, 480, 0, 32, -20, 4, -230, 290, -368, 0, 568, 0, 50, 0, -34, 464, 0, -216, 428, 116, -502, 36, 168, 0, 408, 250, -88, 0, -132, 0, 0, 468, -502, 266, 400, 112, 104, 0, -336, 50, -16, -184, -68, 0, 0, 0, 588, -150, -340, 4, 80, 0, -648, 92, 262, -480, -48, 84, 0, 0, -242, 0, -514, 118, 8, 0, -240, -840, 76, 4, 140, -620, 0, -352, -40, 0, -12, 0, 12, 0, 0, -140, 102, 188, 0, -176, 0, -908, 132, 82, -46, 0, 348], '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: 47760680
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 373, 'target_dim': 40, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58548375737336592, 'target_is_minimal': False, 'target_label': '784.2.x.n.373.1', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47760681
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 197, 'target_dim': 20, 'target_embedding_index': 8, 'target_hecke_orbit_code': 36029621686240016, 'target_is_minimal': True, 'target_label': '784.2.m.i.197.8', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47760682
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 165, 'target_dim': 40, 'target_embedding_index': 7, 'target_hecke_orbit_code': 58548375737336592, 'target_is_minimal': False, 'target_label': '784.2.x.n.165.7', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47760683
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 165, 'target_dim': 40, 'target_embedding_index': 8, 'target_hecke_orbit_code': 58548375737336592, 'target_is_minimal': False, 'target_label': '784.2.x.n.165.8', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47760684
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 197, 'target_dim': 20, 'target_embedding_index': 7, 'target_hecke_orbit_code': 36029621686240016, 'target_is_minimal': True, 'target_label': '784.2.m.i.197.7', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 47760685
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 373, 'target_dim': 40, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58548375737336592, 'target_is_minimal': False, 'target_label': '784.2.x.n.373.2', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 47760686
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 765, 'target_dim': 40, 'target_embedding_index': 8, 'target_hecke_orbit_code': 58548375737336592, 'target_is_minimal': False, 'target_label': '784.2.x.n.765.8', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 47760687
    {'conductor': 112, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 765, 'target_dim': 40, 'target_embedding_index': 7, 'target_hecke_orbit_code': 58548375737336592, 'target_is_minimal': False, 'target_label': '784.2.x.n.765.7', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '112.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 47760688
    {'conductor': 112, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 557, 'target_dim': 40, 'target_embedding_index': 2, 'target_hecke_orbit_code': 58548375737336592, 'target_is_minimal': False, 'target_label': '784.2.x.n.557.2', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '112.45', 'twisting_conrey_index': 45, 'weight': 2}
  • id: 47760689
    {'conductor': 112, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 589, 'target_dim': 20, 'target_embedding_index': 7, 'target_hecke_orbit_code': 36029621686240016, 'target_is_minimal': True, 'target_label': '784.2.m.i.589.7', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '112.61', 'twisting_conrey_index': 61, 'weight': 2}
  • id: 47760690
    {'conductor': 112, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 589, 'target_dim': 20, 'target_embedding_index': 8, 'target_hecke_orbit_code': 36029621686240016, 'target_is_minimal': True, 'target_label': '784.2.m.i.589.8', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '112.93', 'twisting_conrey_index': 93, 'weight': 2}
  • id: 47760691
    {'conductor': 112, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 373, 'source_dim': 40, 'source_embedding_index': 1, 'source_hecke_orbit_code': 58548375737336592, 'source_is_minimal': False, 'source_label': '784.2.x.n.373.1', 'source_level': 784, 'target_conrey_index': 557, 'target_dim': 40, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58548375737336592, 'target_is_minimal': False, 'target_label': '784.2.x.n.557.1', 'target_level': 784, 'twist_class_label': '784.2.m.i.197.7', 'twist_class_level': 784, 'twisting_char_label': '112.109', 'twisting_conrey_index': 109, 'weight': 2}
• hecke_orbit_code 58548375737336592 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': 24, 'hecke_orbit': 14, 'label': '784.2.x.n', 'level': 784, 'portrait': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALgAAAC4CAYAAABQMybHAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAAB3RJTUUH5AsHERkALeKawwAAABBjYU52AAAA1wAAANcAAAAQAAAADnCbpecAAIAASURBVHja7P13vO1XXeePP9dan7Lbqffc3m/KTSWBJCS0UKQpw4ACwgzq2B0ZpzuWcZxRf+OgTHHUkVFBUVQURaRITYCQhBDSe27v/Z66+/6Utb5/rE9Zn31OAjr4izqzH3zY7eSefT779Xmt1/v1Lkvw/27ftNtHPnkXUoqNjx84MWVSY7as8wl8yYNHu9z6vFlxy1WthTsfStmybnHdDVeeNo8e2EotkGxc16fVTIWWl62AOb9uy8sANgPLwEAI8Vz/aX9nb95z/QH+rtwOHTsHsFvrdKNB6P4g4s8/+hdctuUMuzYvUlMBR059NF4yL/i5QW/pH3jCxKfPBWycFcT9Id2VJDh9ev53Tp4WiHT4Aycne9HZ8/NsXgcnhhGTrdQfJsf+8td+f9/PPXXqY+J//vwP/vL500f/rJY8+mBvZb8yhCCEVNI/Dxytt7Y816fk78Tt/1HDM9yePnQRI2rTvjl6a3/pMZSQ8emlqX/dHcrXSGGI4oSHHnqEVn2ZS7e0We4qTl6ogx6RxAkzE4b9JwOu3p1y9qJkZjJhohly+KxHqmPmWoIzCzHX7NEcPCmZndQEQUCt5nH0omS5B5dvSLhsxwx7r3weBh9PQT/ybtt3dPgrqUn9V770Gi7dtfVOzGhZyA3P9Sn7W3n7fwDPbsvL8xh4Xas5uuTosa7++V/7U/3O103u7o02/FSvc5hmLeDYyXN0OgtEscdSX5KagJpvmAgNFzoJB88O2TJbY6quUCJmbjLgsu2K/hCEHHH6oscwgjMLAkXAYBRzyXbDxpkeEkmzEbFpfZf9x2dZXK7TrKWEXkx/qGn3FFGSMD0zR7O1BeWNuPqy3Ty6f+GXbr783NFtl32PjMSU3LLeOwx8bnJi3XN9Sv9W3P6vB/jTj9+NFOLWxZXotU8cXnjrlbsv7h31An7nowe45Zpl5i/6nJjvs3WdohHC3JTm9FKIkgYpNJunU05cqNFsGB48PKI/EtQCWFiB3XMejXrIxrmEW6/p8NTRSR7cJ3j6RMKLrk7Zsk7TbAq2b1xmfllRC2EwMjy8fx2tuuTIhYBNM0OkgEClnFtUTDYTJClbNsTML7QYGM0rrmtyYukqaq2Ulz5vav/5pfUfiRL5eSG483WveflzfYqf09v/dQDvdtvUa+HMufPz/+W3/+DzwcGTT6c//MbaC5aWJ2/448+cZ+P647zquiZfeGCKgV7hNS/wuPvRGnu2DegNfM4uKUaxIPQSrtyWsmFmxGJX8uiRSeJEcNmWIRe6imv3DDh4zKcz9IhGcNOVPQ6cajBRj9h32uPmyyVRPKIz9Hj0uOT6nSntrs8lWyOiWPL4UcFCt8amadi7vUvgSaIYzi35dEcJl272+fKjhlfd0GM0mOIzX+vz8htWuG7PNu4/uIWFQf/Bt79y4aGNc9epddtfHzVas/8+TaKlmenJ5/or+P/r7e99kHnk6HEC3xMf+eTdvOKFIyUGn3vv4aPe5fc/fO6lp06cVucudDh04hQbWxNsmW3yyOF13Hr9Ei/YO8nn7m/xwOE+OzcZzl702Lze0D9jiI1hFPucmpdsmB0hhOGyrSOePuoRBgP2bAo4P+8zPSG4+cqYxw5pHj8yQT/usmNjxPP8Sc4swKMH61y+I2H7OjhyQVAPYxCKg6c9DDHSRGybM7TqoESEr3zaA9i2XnH8rOCGvV2mG01ue0IwMRnzoqsneOgpuPuhI2zb1r3BRN4N+/Yf4+zX/iINWtuuXEnCA+/70Iff9bIrSee23YrRiVm/cftz/RX9jd7+XgJ8ZeksSio5HHZqH/nDnx+9+k0/8+Npmn73z/7vY/HP/OMDV9TEVK23HNIKYNiXPHwQvvvVPa65pMXZxRq3PxjyHS9d4bo9s3zxkYBLtvXZONXi+NmEm/ZG7D8VMNWMAcmTxxtsntEsLnvc81TKPYfg2h2GK7dJlrqCu5+WvPLqmKmmYrnb4tQ5j5WOQfkR3/P6ZU6cn2ClK3j+5UOuvWQen2nOL8xxah6u3KkZRJJj50OmGx77Tksu3wbdruTyHQvs2lzjiw8EHF8c8JZbNRcWptl3HNqjlOsviRC6zv6jfZ46sl8dunj05a3p/s3/40cbN6X6Bf5oNPqDN/2jn/pvTzx1KJyZmRwmSaJ3bv/758z8vZIoSaoRUkiTLE91Fg/dMhip9x08eDS594FDs48+fW7iiRMJ03ML/Id3jDDpFh47WOfRgzEHzw947YvavOSKJo8dmOLOxyOmZnt8+4slT+xvcfeTA67Yk7B1pg5mgPAEvvQ4fM5j/URKe2Ro1UacuJjy1KmUlprmNTf2WF5pcd/Thqt3CS7dnpImgpPzPmmquXSr4KrdMfc9JVjq9Xn1DZJ68ywHjrc4fm6aRijo9n3WTSYcORcQeCOUVBjtsW3jElftUNz1yDQPHo15061tNjSnuOvhGo8c63Pzdct8240Bh0/M8egBzWNHYvqyx89810W2TK3nwIl1LA82dFrTuxZ37b7EG2r1Q9detefeTbOtFTBaCPlcf5XftNvfGwY/f36Rc+cWd971yPGtezanH9le+8vJYye6zePHIB56tOqwacrw+PFpvrLvPN9+yzLb2h7tnkdnEPKRLzaZbXW49jKPYdTkK08aPnZPn7e8tE2t1uLhQz6bZ3vMTgScuuDRGaT0+wOaG3xi7THTVGyelrzs6gGPHErwpCAMEsJGwoNHFc2Wz9Z1EaMEtszC9ZfP0+57jJJpYu3xxHHJYwd3EKoaYZDiTY0YjGByYsAuoNMLOHUxZXaqz9xki8/fF/DEyYg3v7zH1qkJ7nmsxuPHhly5Z5l/9IqUg8enOXJacPpiwrl2yhte3uHq7XX2HW0yvyw4cfb8xIlzxyeWR/fT3Lj1z/7nT/TbSZC8NZFXnB72F4/XGrPP9Vf6Tbn9nQe4MQbg8s/d9uXNqfF/686v7r/05792l/rdHz/NutYGFqdm6Q09+kOPwUjTGcIHPz/D5tlFbrnMoz9cxyj2GUQN7ns6IoqXufYyCIMG9+9XfPSuNlfvXOGl1zY5dGqC+ZUh9SBhblpz2RbFuUXFUlvS6aa06iPCwGfrXMSx8z6eHPDmF3s8dMDnih0rTE11+PTDDTqDkHWTTR4+GHDl7i6zkz7HLwq2zPnUajHTtRTfk0gpeHDfDJPNPvVgxCXbFIGs85XHDY3GCm95ObT8Kb70QMD+0wOu3bvE9Xvg1NmN7Dvqc/xszFOnDTdcs8z3vjrm9IVNnF+ssbAMS+2Edh+ePjNgsntfs3Pyc835wevvTH11qNPTP2KMOQsc+LueRf07C/DOyhLK8y49sP/J562s9P7lkSNHb73z3qd44miXhWGd3/pki3/3nW02z9UYjBSDUcBw5DMYGXpn63z6viYvumqR6y9XwDTG+Dx6eJrfO9DjLa/scMsVMeummjy4b5rb7huyad2QvTsE6yc9jpz16Q9jen1o9wSeZ9iyLgUlkTJi0JecW66BrrN+MuKSLX3ueTxkRMK3vyQmjRocPi2Zm/bYMivQOmF+2aMzHDGIA7q9gG3rRsxODFFK4nmCOPY4chrmpvvcfG3C5mmPgycm+cp+OLvU5YZru7zj5Smnzm7kkQMhB04kPHI0JRZd3nDTkOFgHacvNDi/KJlfjllsJ5xekqjakH/x7cs0/JDjhx9SC92ze4PW1Xf0RsGdvl/71eXllceSJDk0N/d301dXz/UH+OvcluZPEoT+zjMnD/yPY0f2/6ev3HPvzv0HjzAaRSgpGY0UT57w2bqhw4uvionjgDj10EZhjMBDc/J8wPEFzc5NHTZOQyOsUfM9FB6PHlGcXxkyMRFx1S7N5VtDur0ap+cFgRcTG8XZZZ+z85pOJPA8jw1TCReWNcfPBUy3JAKP9TMxS13DNTuHSNng3GKDy7aEHDwRcmrBcOXOEReWJHHiM4gUl2+LEcLQ7Us2TCXMzYxYPxPhS2j3FWEIl20VLC+3+OJDdQ6dHTIz0+YVLxhw8+UhR06u59EDAU8dTTg6H9GaavP9r+tx1Y5JTpyb4uR5n7PzKRcWY04uCg7OG970kgv8wOsTer0ZLixNcmHBcOjIOZ7ef3xnpxe/fRSlOzZsWH/vj/7oj6386q/+ynP91f+Vb3+n1p+otw/l1ef6ndP/8tSxR645f2Hw5gMHT7LcDVjqwGI7ZmEl4cKy4diyYHZdm5/+zgVeeFmTY2dnOXm+wemLirMXU06ejzk6r/EaPd7y0h5vuCng5PlZ9h0LOXxas+9kTCqHbFsf8aJrNDvWS06eb3LqgmSpoxkmGilhugVzkwlLHY9OTzE9EeEJj+mJlFoYc9++kN0bNXPTCecW6vhKc2ZRs37asHtTxNf2hQSBYrYFSsWsa8JyT7DYE6yf0MxMxEgJo0ix1PE4ccHj5HzCjo1DbrkmYeucB2mD/ccaHDltePpEyonFEa978TLf8dIRdTXN8XPTHD/rcfZiytmFmJPzhoPzhhuvmucn39Zhw+Q0Z+anuLBQ4+Kyz8IKXFwaMb84ZMv2Pfj16Y+95CU3PnHJ7q2/2usP5m++dtdzDYVv+PZ3hsHNym+gxMkJPXj0f3cW7vunK4snruysLCKkj0GRaokxAqM1AoM0cPx8jQcPCy7d2ubKHRrwAYWUHp6ShMpwccFn/2nFUA/Yu6PDni2auWmPjdMBgQhZbIecOi84dk7w+HE4fi5ifnlEu5syjH1qQcBcy7BlfYwQKYORx86NMb4yxFoQpwGLHclg5BN4AmE0c1OadZMpS52QzkAwTHyW+4KNk5rFtubkBUXND9g4A1vnIjbMDlk/O2Lj7IitGwzbNyqu2OZTV02OnZzga08GPHww4fETManq8m0vafPmFxnqapaDJ6Y4dtbjzMWU8xm4Dy8Ybrhqnp995zLb1k1y9uIUF5drLLZ9ltqS5W5Kt5fSGwoOHl/g4Mn2FY8dvPjSo6fO7zx+5uLnb37Vd0T33PaR5xoS39DtbzWDLy23iSKDUrz7K48cedFP/+qfy7e+6PCL/s2bz3rzyxtYak+w2G6w2A5YbHsstmGpnbLUjllcSTm/AkcWBXPrVvj5717kxssanLoww9mLTc4ueFxYNJxfSDg9n3KxmzA1M+TF1/R44V4IZJ1QhVxYqnFuweP8kqA/giTR1AJNs5YyPZmggRPnEzo92LHBp1kfYYwAEdAbaLZvHLG44oGxUmSlB6MEDIaldsSW9T7dgUIog9AjJmo+2zcNWekLTpz1SLXH7ISkVROEPiSJoD+SnF+SnFs0XFhOCMMh+Ak3X9njRVcJ5ibqLC5PcOpCyNkFuLCQcGEp4cwSHFk0vODKBX7hu5fZODXByfMznF+sM78csNCWLK2kLHdiljspS13DQldwqgMrSx1+5d+Mkn/8mtpXg9kf1n7jyq9K9E+n+IS1iecaKs94+1vL4L/3Bx/lRTdfz4//+I//4h//xR3/5n1//KVLnjrR3nnkbF+++Oo+uzenpNrDGIUxlr0xEpCAQAiDJwyBhLOLde4/LLlmzxJ7tw1p1MD3JIGvCAKPZl3S8CX9ns+B4zW+8HDAiYsjOknMgVMjNswu8YYXL3PNJV1esLfN8YWEhb6gEQ45etbQ7jS5erdkZZiy77ii1fB46gRcutkwjFKGaYDnxUy3YP+pEOWl+DLB82Ewkty4t8+gL7nmkpTOIOXE2Ra7NiqajYiVkWH9VJ/lXoc/vQMePZby+LEhOzYvcu3lHaZnIl5/c5fveJlhz8YWaTzFsTOTHDntc+q85vTFmNMXU45cFJxciXneZfP8/Hd32TA1xanzM1xYbDC/ErDYliy3U9rdmJVeynLPsNSDC33Fcifhhr0LvOuN87LmsfPiuZO7BoPkpnBid73emP7iw1/7BL/1/j9+riGz5u1vJYN/6E/+gisv36K+9uDh/3j85PmfeejJ4+rcYsTC0ONcX3PNjgv8yo/Mc92eBhcWp1lsN1hq11hq+yx1PJa7sNxOWe4kLHUTFtpwalng1YfcctUS3/myiF3rm6z0Jri4VGd+KWChLVhqW4mw3NV0BprOyNAfJsxOxGzfoAFB6BtOX/QRMmTHesWuzYbN6/tcWB7x2KEWz7/U0Kgv8+ThGVrNiCjymZ3WDIZwxfYhH7pjisu3JYxGhnWTkjgd0KqFPHV8SN1vct1lCY8fjbiwGLBlNmTXJti+MUKpmNMLEPgGIQw7NiRMtyTdQUiv79Pp+yx1FEsrsNjWLLVTFtop59uwOEzZvqXHd966wC17PWr+BOcWJlhYrrGw4rHUESy3NSvdmOVuykrPsNiD813FhZWEGy8/z3t+ZJFLtzRZbE+w3K7RHU6i6pekYX3jL2p/9y+I5Gz64lv/4XMNnVW3v1UAP3jgIPV6rX7mzOntDz3y1NuOnTjznw8cPs0okXQHsDwQXOwrznYTXrD7PP/9R5a4dnedi8vTLK40WO7UWOr4LHc8ljvQ7mpWugnL3YSljuFCW3C2Z0D0ePNL2rz+Rs3uTTWiqMFyu8ZKL6DdVSz3BN2+YDgyRIkhTUFJQ+hDPTRMTRjWz8R4/pAj5yKeOByikyavvSnC81d4aN8kOzfBZ+9PeMnVIRfbA2qeIkljZqYhiX08P2FxscGLr+/w2Xtb7NoEDx4a4dPgNTdqEjHgiSMpx07X8GTAhmmP6aagHgqCQKAEJBqi2DCMoNs3rPQ03b5mpa9Z7BkGacqOrX1e/8I2b35RBLrF4sokF5fqVm93PJbbsNJNafcSVjJwL/XhXEcx30l5wWUXeM+PXOTKHXUWlqdY7jZo90I6PZ+VrqDW2EqtteE/bNy898+2bt1ycjgcDi697PLnGkrF7W8NwE8eP8zc3Fxw6PDh7z148NB7H3jwUbG43JODkaY/1PSGhs4AVgaSiwPJuW7MjZdc5Jd/cJHrL6mxsDLF4kqT5U7ISjdgueux0hW0u4Z2L2Wlm9DuaZZ7hotdwbm2Znqqz7e8oMvNexN2bFBM1H063RqhLwFFlEi0FmgD/SEgNNOtIYfOGLSJuP3BJqN+nUu2BNxyTZ9Yr3DXw1Ncd6nPofM92ssTvPCaPl98KGTDjGHfCcM/e1OHfcdDNsxIvvCw4pYrFEv9DkdPzXDdZRF3PTEgGTW4+cqAPduGDJIetz2kIBUcOe0x0fDwBPQHEm0EqTbECSA1XqBp9wzNVsy2TSNedEWfb3l+wmyzxoWlSRZX6ix37LlZ7gjaPWh3E9q9hHYvpd03LPUl57uChW7CTZfP84s/OM+1u2rMr0yy0m3Q6YV0egGdvkdvIOkNBLGu6d2XXG127trzrt17Lvm9hYX5aO/lfztA/rcC4EmSyGg0eMOD9332kl4/ec/9DzzkD4YwjAyDYUp/mNLLQN4dCNoDwcWB5Gw74eYrLvLuH5zn+XsCVjqTzC+3aPdqrHQDVnoe7a6i3Yduz9DpJ3R6Kb2Bpt03zPcE8z2I0xHXXjpg40xKr2943QtH7NyoSVKJJw1RDHc+VuPkxRqbphOePFID3WDvVsX1l2vCWp+HDvWZX2hy1c4mE1PL3Pu4zw2X1ljsr7C8PMHGjYb79yn+8St6PLDPY+t6n4Vem+WlGa6/os+9T6bM1Ke46pIeF9tt7n96irrX5AWXGy7bPgTZ47FjgvUzMRfmY+56zGcYK6SEVBt2bor4lhdGdHuKzdOa6y+FKGqw1G6w1A5Z6fl0+op2T9LpQaef0umldPspnb5mpW9YGkjOdATtwYhbLpvnF35gmRdcai+OdrdOpx/S7ft0Bx7dvqI3tADv9lN6/YTrrn9BrFE/8dZv/weHG836pwLf1881tp7zTOZo2CeO+t998uhDv3Lx3MGZixeXadYlUthAEWMwxU9bC1AIg5QGKT0eOLiBn/4djzfdssTbX7HEri0R5xcnCIM69TCgEfo06x7duqQ18JlsevaCGaRsGGkGI0N3GLI0X+P0KUOUaM6cTwhDAwgCZfCkoD9QCHySvsfzdgr2bDZs39JnlHb53AOK/YenefXzQ66/YpkPfs4QiAY7t/R5/F7FlinFuok+NVUnin0udqFZ89i6QfDo/ojrL6vzsusW+P1PDwj8Fq+6yeCHfb50f8Rn72vy9LE6uzc32LkpZW46Yte6mKt3piil8ZQBDI0wZG4qJIp9uv2AJw/5tkRhkAMRekNDr2//9u4gpTcwdAaGlQHM9xUXlg2NyTY/9tp5/uEtI67d3eTcwgTtXo1uAW5FL/s3+0PBYGQYxRCncPc9D/gTk7O/smHDA0sve8mN/7rb7f9+q9V4TvH1nAI8HvVA8ANnjt377qP77pgZ9brUggBjrBNiEPYjihQBCAFS2E4aJQ1KpgRS8vihOR452OTQ2Yu86UU9XnTlkKnWBEvtBs1OjYlBQK/v2S9nKBkMPfojj+HIMIw0UWyIY0OS2iNKAowGqQS+J6gFgqmWYLoFG9dptm7os266zecfgrsf8ZF6klc/3+d5e7vc83RMNJzglucJ2oMBFxeb3HyZZt1Un7oXMkwU850YpQXPu8yj0Rrx8IEaL71+khde2+XhAwrMJM+/MuD7v22JLz4a8YUHmuw7WWP7nGLjTJ3pVoPJFtRD8D2DkqAN7DsmSFNBnAiiBEYx9m8cpQxGmmEm9/ojTW8AnRHM9yQXuzDSQ1553RJveFGbf/QqTZJMcH6hSadXozsI6A18egNFd6DoD0UB7sFQMxymjCLNINLMnzjLh/7sczP9YfJf/8HrXuZ1uv3fmXgOQf6cATwaLSJE+v3zp+9694UTX1wv6dNqBgxG7qomEQiEUAghkJIM3KCUwVMGX2nqvmChX+fDd2zlS490eMnVK7zzlStcvavH7FSDxZUG3UFIf+BnwFb2iASjWBIngiSxS73JlgslDZ4HtQAadc1MK2bL+j4JPQ6difnTu2ocPdVkKqxzw5UeN1/T4f6DbW7/2gQ3XVpj+6Y+H7pDoETIRCtmpTdCG1AC5ib6dLoBOqnzhpdc5MOfbbDnQo3X39Qnihe564lZ4rTGjVeu5/U3dLh0W5svPdzn8VMNHjsWsHVGMjMhaISCwLcXoRQghEEb0NoQJ9nFGhtGsb2QhxEMIugOBcsjwVIXhDfkustXeOe3rPCSK1NmJ+osdxq0u3W6/ZDe0Kc3KFeC/kgyGEI/u3CGw+ziiQyjCBKtOHOhze99+Avre0Pe/e3f9mJz/sLS727cMPN/B8DNyi+w0tlDsvyR7xkNh+/pXty3zhNdmvU6UiaWqbFsjQAhJEIIhJAo6SFlilIiW541vjKEnqHuCZaHisX2NB+5s8l9T/a45doV3vmqFa7b02Y2rZMkIf1hjd7AZzDyiGJFnEiSVJJqgTbCZkGFIQw0jVpCGEQE/ogziyM+/aDk8OmAY6enUTpkz6aAK3Ypnr+3gwrneeJIiy1TDa7aDRvnllnqTHD1FkmiDZ9/IGTUl0w1E15z45BP3RVz8nyLyy/xObcy5KmjPts2THPtrnnuebzLvU8JRlHA3l0z7N0WsndrlyPnljh8Bh7Y3+DQ0SYNTxB6kmZoqPkgpT13xtiLNUkhSiBKBb2RoDMUdGKIdII2Q15waYd3fkuHl1ydsmkmZDicZLFdo9sL6Q0D+gOP3lDRHyoGI8FgKBmMbN/ocJRaj3+kGY4Mg1hnKyJEqeLi2Q6/+SdfXn/fwYvvaTbryc++9zMf3H/gKH/6P9/19xfgP/5ffh0m/4i0/YZ/RHT015LOuSlf1jJwR1ZbC6uxLWtj2VoKlBJ4SmX3Gk+l+J4g8DSBbwh9QyNImaoJuiOf5c40H717gjseG7Jhus/bbm2zd9uQ4aDHVbsM2zYqRrFPmpZpfoFBSo3vpZy4YDh2XrAy0HzyngZnFqYxkc90TbF51mPHRo/dW+CqPR20XOB9n2qytDTJTXs9rtrT5kuPCUTis35a0mwk9OMAaSQYifIC2kPBhSXBlabBrc/v8tWH62xeF3DTVTN837ct8Huf7fLAgSa9oc/iSotdm+tcvqnPjZd1+faXdjm7tMQn7wlZ7IecOOdz5kyArwRS2lVPG0OqIdaGNNFMz8Zcc2Wf0Shm77YRb7l1xPpJxUwrJI5rnJuv0R8E9Ed2lRsUwJYW3CPBcIRdCUYpw0gzilIL6thYkEcwiAX9SDBIPU6f6fDE8XvWXbV75tduvn5D/Kf/c8MfL516NzPbfvrvH8B/+Od+n9ZV7xDf9W/FW7dOPfX+77z16cZVu0IM9ksvmduUWltaqSClREmJpwSeyu49ge+lBJ4g8DU131CPDY3IMFlLma4L+pGkGzU5drrJL//xDOgEkSQ8/5o+uzZGJAloozHGJnGkEEgl8PyAAycD9h2u0ax5tALJuoZgblayfsZj85xix6aUy3eskIpFfv1jE5w4OcVNl/ns3ZkySLp87YmQqbrP7KRhqhXRqFsppLWkPVQs9QyL7ZR2r86Lr1rhwX199p9UTE3UuPHKKX7wDYv8xsfh4cNNegPDStfjwtIEG9c1WD89ZMfskB9/a5+JRpvHj8GBUxLfNyhlEEIDxv7PQJLAzo0pt1ydkMY+cRJiTINh5HN+IWAwsivaMFKFfBtEguFIMIwsa48im5UdjTSjSDOMdfZaflhwD2JBJxKsxIJeokn7A+Leyak33bz+/b+xtCOh9b0fGZyvmfrGf/33B+A/9osfZvuW9erJr33ozQePL3zwjx64WHt03zS//K4Oe7d1kUJbYEuNlGEWQPooZVBSoZTK9LbE96zmDHzFyJeMIk0YpYxiQz3WjGJNFBkmEhjFmlECUSIYxpJRGhKnNfYfbvLYfkiNQWcXlhLgSwiUrflohXDVJpiow2RTMt1SzE55rJ+B7RtHbJpbITZL/PrHJjlydJLrdyt2b5Xs2brMl59KuLA4yfN3SaYnNLVgQChDjBIkqUQYQ5JGLPdqXFj0uX5vnedd1uWeh2tsmBY0ai2uv0zzY29e5Nc+rnnqTIuVnmalq5hf9lg31WR6os70xCQTjZi5ZsyO6yNCP8H3EpRKkcIGEwZ7UcWx4uK8R5wo4kQRxYpRnN1HklEsGUWSYSQZRcIGqJFgFBlGkT2voyglijJNH9vXhxEMY8Ewhn4s6EaC5VjSGyXoUZ/n7V7ml350mVdfc7Yx6HgfTLp/qmP2fmz55G+m09v/6d99gP/sf/swU81QnThx+i1HT1z8/QefPlejNcPn7g/wf1vwCz/U5optPZTUSKWR0qCUj1La3kuDrwy+p/A9gx9JAl/YL8EXjAJFFFugx7EhSlLriiTOkUKSGtJUk2qs3tYU4M6lkCfB9yH0BLVQ0AglzYZisiGZnhSsn0nYsbFPq7nCx74acdcTM6wsTHDNdsWOTT6XbhuSihU+/0CDpu8xN61oNYY8cQSePupx9TZDf6S49tKYa/YYzp9LmV8OGAwbvPaGLl95fMChM4pmXRIGE1y9W/ML37PInU8N+NSd61jsGHasT1lue0xNKCabPq2GT7NuqIWaMNCEXoqnrNSSWWulMdiElRYkWpKkgiQRxIkkSgRxLBnF1nmJYkEUG6IIRnFKFGsihzhGsXtYcA8ycHdiSTuG/ihGxj2u37nMz//QIq+7KaXXn2IwOlYz/sQf4jX/SSTX/fm5Qx9IN136fX+3Ad7wtOy0228/efzMbx48cLI20QzpJoZEKP7yXkUUebzl5R3e+soe0xMpXanxZJrpbKuHfc/Djz1CTzH0LdOMfEkUCKJY2C8nVsQJRLG0DkJS2n5JqklT6y6kJnNKMrckd2eUtLIn8ARhIKmFkmZdMNEwTLU0G2ZGzE13ScwKH/mK5Pc+O8v6Wo1rtgu2b/LZuVmzY9MyH/uaYWmpxt6NiukJaDViLhyXXFwOCXbBKBbMTUqmpuDQMcNyR3N+ocalO2u84vldPn13jdkWhEGAklNcvUfwQ6+/iC8v8pf3TPP0mRobOjHrpxImm4pWXdGoS+qhRxhA6IPnWYdJCpDCATn2wk41pKkgScmADnFqiBKI49SSQqyJ8vtYZ7Zj7spkFmRiJUkvFnQSSTfWRMOIybDD2167yFtv7fHq5xva3SbDqEYUBQw7J2oyrL9fBDVPiOBPsDzzdxPg7/v9j5Om+nu+cv/R/37k6KmJ2YZiEGs8IejKgJGUfP4Bn689VePc8iL/7Nv7TE8kjMIanX4NTwX4no/v+QRRSuR7BJGVJlFsU+mWcYRlooyVksQmHtLUOgla24BLa5P3cGbgtgC3gavA9yxAaiE0appWPWGqlTA3NWDd9Apf3R/xh7fXOXBsip2TPns2wtaNAVs3wOXbO/STDvfvm6CufOamFVMtmGqNmJ5MCAIPIezFNRgFLHViVvqGdi/h4nLA9o0tXrj3Irc/0OfAmQkaYYyvAoSYZM8WxXe9aoEXXH6RP7y9xf1PTrHY81g/kTDVSGjUJPWaIvQFoS/xfRurKEVmH1qUG2wPq9YUQE9Sna1umbWYaJLUgjuJIUpMecTWlRkmllT6saCTCLoJDIcJOhkwW+/wru9Y4t++o0cjDGh36wyjkFEcEEU+o9hn2D494dWDX5+YvTY4+Pgnfu+ya//mirT+xgC+tNxGSfUD7/v9j7771KnTs81QEKUGlckBPxF0hM9ASlZGHv/9z3z2HVnmDS/tcet1XTasi+h26gxGIYGfEAY+o8gjDKy9lwM8jiVRYpfdOMk87ZTM+iNjbok2lOC2ScqMucFTNmES+IZaoKnXElq1hOmJEZvWdbjQ7vPeT/p8/sEZlpabXDIn2L5esGV9wNb1gl2bh3jBCh++y+PoqSaXbZBMtySTzRQpR5yZN4SeRAowRhDFHjvWd3iAlE5fsdwxXFiqc9nWGt9+a5s//1LA8QshvhcjhI82TeJE8vxdy+x4R4fPP9znQ5+f4aHjTbZMC9Y1U5q1lFogCH1B4NtYxVPYwFmKoibDYC8ybbBOS2oBn4M8Sa2ks2CHKLW1LlGePEoEgwS6iaSbwCDSpP0RW9d1edn1y7zxpX1ed4PGEw2WV2qMYptdHUU+UewRxR7DWBH1zs169T3vueK6N6vBoPM79frfTE353wjAl5bbBIH/fZ+97a53P/r4U+t9ZayXHWfLpjQoKfCloCclXVmjHXl8+Ms17ny8y/V7O7zjVX1ef1Ob2amQwTBkMAoIfZ8osScqD5SSRBGnkiSRxKkgSSRpKki1KLW2FhSqxOQZUZssUlmyKPA1YZBSDxNa9RHrpnoM4gFfesLwp1+e5P4np5gOfK7eYtg0I9kwG7B5TrJ1Q8TuLcs8fnzAJ78yx6TymJsUTDQFE42Ydj/ls1+r0QqsO6QNDEYeb7hlxGfuszUx7Z7m4rLH1vUt3vSiHvfv77LvUEAzTFBSWJDrBsPIav3vekWbyzZd5MN3drj36SlOLtfZOCGYrBkagabmaQIfPCVQkixBluUWMqjrTKppXa5wSQZ0SxAQp4I4zYCdCoaJoJ8Ieik25okimvU+b3r1Em9/VYfnX5ayYdpnMGzS6QVEcVAFd/adRbENak+f3L8+qN/77j17X6L7vc4HGs1vPsi/qQBfXl6h3ekh4Lu/8MW7/9tnPvvF2ZXlFcJAoRKbfLdDK61r4WXORSihK336vuJ0J+TsfQ3ue6LHn1/T5S2vGPCaW4bMTAVEo5BR4hPFPnHiEWdAT1JFkmYJm7QEuDYZc+uypiy3IZW0dRyepwn8lDCIqYcRrfqAlAFffFjyx3dM8eSxSUQcsnPasGnKsG5KMTcTsHGdZPNczPaNHU7Nd/mtTzVJRnW2bhVMtTwmmjDRiBF+RGfQZKplL3JjIE4kM6Ei0QndOKDbT1nuKM7M17lyd4sf/gcrvOdPQk7MN/FUnF0YHklSYxhJNs6GPP+SDtfs7vHUiTP86Zfr3P7QFGfbdZqhohVA0zcEnsFX4EmbzheiWl2nAaPtRZdqQWogSYX1z1NBlNok0SAVDFIYJIYkSdDxiNnagNe+coW3vbLLS66Omaz7RHGT5baVI3HiEcW+jY3ibNVNbGLNxkmKUX+Fpx67c32ayv+25/IbkqWFs38Q1Jo0m9+8+YnfVIAPBgOmJptvvPe+B3/js5//4kS306EWeqSpKbSglGXwo6TBSw2+FARKU08FfRXQTzwujmr85X1N7nqyz41f6PHPv6PLFds7rJ9STDQ8yw6JT5KUIE9zgGuJNhJjrCQwRUCZpfqVsUGslxAGCb6K6Axi5jsxv/qxGscuTvPwvimMDpitC9avM6ybFMxOKGanfDbMSjbOJmyZ6zM7tcznH9E89PQU12wVTLckrYZkoqFp1iOEPyIMPTxlf78xkKaSwchjMIxJtKA70HR7hqWOz/nFCW6+vMcLr1zhw1+oUV9SeDK2gDQeSRoQxbbHc91UjRfs6fGCS3o88LKznJiX/OHtU1xcaXB6MSRQkqYvCHIZlp37gshzqYJl8sQIEg2xFoxSGCYQaQNpAkmMVCM2Tw+4Zof9Pm64ImWi7pEkTdpdC+wkA7ZdYb1MNqoia5zLyjiVJKmi3+7wyENfntWo39hz2fXLo+Hgk99MTH7TAH7gwCE2bdqo/vCPPnzJvv0HJ3q9NrWaskufcAqlpEAJk4EbvFTgK0OQGGqpoKEEAyXoeyGD1GcxqnP7Q5N89ekBzXDEP3ldm62zCTs3D7j5qi6esC1iQli5YrOStlbaGIe5MQhpUMJ65oYEZMJTxyQP7vf49P0tnjrZIkoatDzFXN0w0zRMN4z1wSc8ZiY9ZqcEG2cSNs8N2DS3zF1Pjnjfp9ezacpjbgImmoqJpqDVSKiHI756UDGMPPymBZUxgiiR1DzFdZcNuO+JKVv4NEhZ6fgsrIRcWJjmh19/gdMLi9z36By+BESMhgJAo0jSG3hMt2pMTTR54WV9XnZNn3e8fJ79pzSfub/G/fvrHDzaJBEeo5GiHytUUfrgBp5ZTsBoEm0wWuOLlMkgokbMC6/vsWvTkK3rYt75mhH1QNKs+0RRg3Y3yFZSLyMcVXjtccbYqw9RWJWJ9ugttXn4wa9OnD9/4ZJXv+4t6sTxI+mOnXv+9gB8//59rF8/Gzz00EPfi0n/e3tliUbNz4K8UndLaRnckwKVYCVCavAS8KXA14YwNdSUoJEKRhqGqc8g9emnNbrdlP/24WlMErNhbsiV24fMTia85RUDtq+PiGOR6W0JDnOTX2BSI6Tgo3fWefxIE+F5nDjb4MyFBrW6YjIUTDUNEzXNRA1adcFkQzHRUky3PGanYN1UwobZIVvWd0jNCh/9ygSDXpNLtxomGopWQ9Kqa1q1BN+P+Px9NUZ9ib/edovmEqVZV7z2xgF3P6LpjSS9QUqn77HS9Ti/2OCKXS3e8pIODz/V4MRSCyU1EGd62SdOFaPYJmZ6Q492L6BVb9Csj7hi65CbLh9y6mKb4+dW8PyUx456/PmXGwhlC9cYnz9oNKDBGOIoZceGhLe9YsC6iZTLdxg2zEKa+IyiFknis9zxSWJFnHpZHGQBnQPcxkQyq/VxDQDrciWZvk9TQaJ9Ls4vMTOX/PfHHn24v2nLjt/bv39ftHfvFX87AH7mzGkWF+YvO33mzHsfffRB6fsSpYSNzKXJMpMZa0tIshR8ogVeYnVinBr81P7hoWeopYYkFUTaEKWCkZaMUkmkfWIN870Jvvy4xpDyifvtyAaMzo48i5dZZCKvSJRIpUhiD6k9fE/SCmHXnKHpaxqhphFCIxQ065JW3cqhyZZkegJmJxPmpkdsnuuSssyv/kWNe55Yz55ZmG5k7N2QtOoJjXpEszGgXm8QKomSmQbHyoE49hkOBINRSnek6A013YG2LXPNgNMXJnnxlSN+7K0X+JU/9zi5EiKExpgYnRrixCeKJcORLWNtDTyatYBGvUYjbFALY1r1iOdfGhH4MTdcmvDOV/bxVJIlgWz2uCLKM0mntUQISegrIGA48lhc9mzdTprHPNmRyDIGygrXcnDnwC7Y2gV1AonOmdx+//c/8KCMU/nebq//ldFo9OQ3A5v/xwD/4m2fYKKh6seOH37zwYOHRRh4aCNIUpuVTKUhkSbLUNoEjFQGlYJKrTZMUvBS2/uY5BF9mkX1eWSvRflcCyItSYwk1R6xDkkz28u9FVlKAZ4QNlOpoFY31DxDTaWEPoQe1AJDPRTUA0mjLmnUPAvwpmCqpZmZSJidGrF+psfm9Yu879OaD92+gW1TinUtzURT0Woomg1o1FNa9Zhzi5oj50Jqgb2gIa/0Ewwjj10bNRvXDekMAwZDk7G4ZKXr0arXaDWmeOcrL3L03Hne/8kteNLDoEl1SqINceIxihSDyBZF9WuSxtCjHvrUw5R218YYgZ/ahJmf4knbKCFl6hS2ZXUrWUWQBbmgrbMqS23jmjSVaC1JdBnvJKlwAvz8sXOfZIDOwJ2kFM9ztyZ/LU7g0UcfE8srvTdv27bjyJ9/9C8Gb/mOb39uAR6GfrC0NP9T7eULP4UeyVooSVKQQhbAzoGe6qyWOxWkmTxJNHip9avTPPmgTfbcFK+Vj8tKOevliiJQcjU3kAWzViJ5UuNJspoW8JXA94z1jT1BLZTUAkk9VNRrilZd0moYJpspU62EmYkR66b7bN+wyP0HR3z4zs1M10I2tDQTDWHBXZc0a5pmLaHVGHH/AXhsf4NL5jKbVJRp88FIccPlhku3D3jgySn6I9ue1xt4Gch9GrU69doU3/nSJR47eJH79m0Eo9A6teWwiSGJTVFPMhh5NIaGek1RCzRh4BMGKaGn8bwU37PZYaV0VsRmqzcRBkGp58rg3JYQ69yR0rn96lixObAzNi6fu0DO37PklFaAnd/b77zd7stTp8/+xyCoB61W8xeB6DkD+GjYl9Fo+HO3ffbD/3pl6XwQBB4yzYElLJAzBrcAt8BWWVIhVQZPZ4+1baDVKcXjNM+4mTzzZtBZJi5PVpispc2R22MALxM6SmYZS4VTtGWzf2GgqIWKeiho1AWtumGikTLZTJhqjZidHLB5bpn7Dgz4ud/fwMnTU+xep5lqwERd0awrmjVo1lLqtZjAH9Ie2mIxX9n4I7+l2jJcnARM1GP6iaaf1Vn3hyndvqRdVzS6IbWwxc6NMb/wvW3+0wclX9u3AYNCG02aapI0IUo0UawYRopBKKmPFLVAEgaGMFCEnsb3rd/vKZPV+WSraiZThDDVBt0stW8yEjFZLUuaAT7V5b0lI5ndixLg2eM0k55JTmLZ6my/d0gTQ6J1kXk+efJsUKu1fuL7v++dfq/f/w/NRuOvnc7/awN80O+QpvEv7nvyK/9yaeFELQwkqTY2c5aBKpX2ilVSkKgcyAYtLbjTDNw6f6wFWpsijawLjxaMNraLPCsBdQ/GAJ7J7iywJMueCpSyksjLWtF8TxIGdgBQLbQjGeqhoVnTtBopE42YyVbEzMSAzXMr3Le/z3/6vXUcODnDjhnrsLTqkmZDWvauGxq1lEYtJk4j/ugLLaRS+NJmcAsGN/kS7vNdr17mtociulFIPwN4b6Do9hTt0KMWhIT+BJdvS/jP37/Iz/6e4N4nN6CNJNU2rR4nttBsFGlGNVvuGoaCmi8IA5vZDDxTZGw9pa1MlGVZcgHwMuUJZCSCzSVYtyUL5HMAZ1MHdJFcI2N3ihU3X51LgBvnPsNFqi3oE41BcvDw8drnb7/zX33b618lVtqdn56a/Oslgf7aAL947ijGmBceO/JIXZjIzrPWJaikFKQSlCa7F6RSkBbp4Rzcufywr+miVqJsv7JAF7aOIgd1fuLHPlfZu5nVmUjKYqqsjtwCXOL70tZvBIJaaGeeNMKUZt2Ce6IZMTUxYG6qzf37+/zcB2Z46sQ6tk4LZpuONKl5NGu2fqVeS6iHEb4/4sziNL4SKKkzW64MMtNUkiSKTdOGJInpxLWsU0YzGKZ0h5J6X1ELfAK/hu9Nsndrwn/+vnn+/e/CfU+vJ9XSAjw1xEmaMblmFGpqkWQYqEKC+T74XuZcKWlzAZIiLyGy+zUwbuUKWVIIUSSHdJYcyrPFaeq8rkvJmTrA1rr8vnMcJKlBZ2BPsvfi0Yh77n2ofsmeXS+U/wc7Tvy1AP70o59HiKjx+EO3B/FoxfYEGpCZJZjqksHT1AJdm+wPTS3QtTakHsUfWQV2LkNMAXSTy5H88TN8NinKIqr8QsvBraTMGiVyeQI1H8JAU68Z6qHVz416zEQjYqo5YN10m4cODfnZ35nmiRNzbJ5SzDU1k3VBqyZp1BSNuqBesxeHTfVH3LdP0BsG1BTZRWY1eN6EkGpBnHg0a4qbr+py/1MT9GMrUwajlP5A0Q0VYaAI/CDTz1NcsU3zSz94kZ/8bbh333piLYm1zpqlyx7MUSAJA23Z2y/r6D2VH2QypZRxMsvyrgXyPClkcoBngE8L54U1V16dxVI6B3UObEP5Wuq8n/+8gYXFFT704U8Gb/6Hr2/8yUc+03/HW7/1bx7g8xdOMDWzderJhz72W0YPXqpkivAkUhuUENYCTC1zJ1Jk8sMBuspPgr3KtRJrs7YDaF0Au2wKdsdJ2KXVFhQJmYE7KzJSBcBBZRWDvgeBj+0ECrICqzClnsmLVn3EZGvAdKvDo4dH/OzvTPPY8fVsnPKYa2gm69CsCZp1RaOuaBTsnVILE1qNIXc9FrDSrjE9XabJc8DoTJvGqWL9rOKVz+tx14PadtFE2gG5pOZLar6H7wV4Xh0pNVdsM7z7By/yk79tuPfAemLtEWcVgLbs1TJ5GMuiujDwJJ6XFWFJgfLyc0Px+fKLMJcqIq9Ko0wIjR/audfauS9W3hK8ugA6znNItc5Wtfx1e+EkSUq7O3jpwcPHfveHvvctP3LjkeMrl+7Z+TcL8H7nLKP+/E8uLx57ezRYIPB8G/BogU5BaoOWFrzK0WE50LXbcFBc7RnYs+RMzt6VQHKcuTOk5xm5QnvLvIKu1N15xaCnsPUZnsH3bWNxLdDUgpR6LaFRi2nWRrQaQ2Ym2zx8cMRP/fY6Hj26gfVTPusbKZMNk4E7Y++apB5a9q+FCY0wItEjulGIUBI/Z/BCg4uM3TK/OPZpBkNbLhDVmM5BPkzpB5bBw0Damngv34DWcPVOw3t+5AL/7jc19+7fQKw9RqkgSnXG4oJarAl9Q+Db3lUvizs8ZUuElZTZ+cm68vN7pzCruDDdWGcM3AUJOcTkgrsAsikfl+A2Jagdkku1PVdnzy+y78Cxt9/91UeORFH87/9GGbyzcpLW5NYdj371fdfEgzPUQoExKakRhcZWOge3KYMQbbKOkryoxzgAF8WJSrV7woTDFGVW0rhrZs7ablBZxAC2Q0dlwZTnZZ1BWRFSXj1Y89NMN8fUayOmJ/pMNrvcty/hp9+3jkeObmBu0mOunjJZM7QycNdr1k7MwV0PU2pBwkQzYt9xw50PNwmkxFc6C+JKjyL/AuNUkWiPW58fc8nuHkdO1plrUPY5jlL6w4yFPYXn+UXCTAjDVTvgl35ogX//25qvPDXHMK7bZFhiaGQ13KGPBbmXr1666G2VKi1WOCWFA3DhgJxVeqUEuakCvKhQLFfetVbmkt0ZY/QxeWNAG8XBI+e47Y4Hr/n5n/6hHYeOnD5x6Z6t33yAd1bOEQSTO8+duPd/pvHiGxVdZOCRaoEyooiic3YqAo/CXjLoNJcjYtWSlvvDpvC0x1ySVW5Jxtzj4BYGqXJbMMueqoy1PUPgaXxfE/qaMEioBQm1MKJRGzEz2We52+fuJ+GX/ngjjx9ex7oM3FN1Q6suaNZE4ZVb50Vb9g4swOvhiChNGQ5q1JS9yKQQlUq+PJFiA03PanlvxCgyDGLhAFwTBCmB7+H70k4VkH4BcARcu0vwSz+yzH/7k4R7989ytj3BsCmZSg2txFDLJg6Evsm8/9xJMQV751IlB3jxebMP7eK8UIjZl5KvqiW4q5LSVnM6YK8AvdTbhYYfuwBSLeit9Dl7fumNn7393vTWFz/vXx0/cfb4zh2bv7kAH3aPkHj1m7pLT7150N5PGIZZwiH7sqRE5YysTWEnaddKUqKQJFrny7XJToBwTkxV85W3qirMvwQ77gGn5iUDdzEcyJbF+p7OxkykBbjDIAP3TI/55QHv/qMGn/zaHAu9aeYmJXO1DNw1q7sbWWBZDyWN0GQMbrV3LYyAiDseDViOA2ZDKvXYiOoKlaa2+WEi9HjF9X3uOxDRjUMmi451TTCyteqBZwHuKduQLaRN0GBg7zbJr/zzDp+5b8AvfmADpxemGUx5TAWCVqJpJBDGdvRyoOxAIz8PNKUoguD83g3U3QtTiKJXpPh+YExCusB24iftgN/NY6wCefFaBnAj0Cjuf/QwmzZvfHOj1fyjbndw/JvK4EncRXnNS5fP3fEvos5D1GugTVrJbHmFjy0chhakWQYsB3ShtQtQ5xLElDbUOGu7sgRnKBAU6ebcBVA5wJXBkxbYtrfT9ncGfkrgJ9SCmDCIadUHeF6fux5L+d3PTvDpe9YT6QnWTwjW1awssRZg7pOr7BAZc7vsHeN5I7769BT9yGNTI/884wyer262lLTmK154xYBEW4APYmG71vPO9ZG2waGXzYbJ7L18uJ1BsG5K8PaX92iFZ/nAZwfc/fQs5+M6/ZpkIjE0PWNB7mVxiDJZXGIykOfnUJS149LOFsvP9fiOgoVUyUdUMK7N3e6hsvY8Z/R0reDUUBJixuipFiR4fP7up7jm6sv/xdvf+KJHVjr9Q1MTX38k3NcFeNQ/zPKZT6GC6c2D9r6XSTNPGNZI08TKEiMLjZ1Ph9IVoOeSpGTvihzJtTZZMqECbMd6cO0rYcakSZ6VsxWDdrSbzmq+M3ArW4sR+jFBEFPzIxqNIUHQ549v9/jlP1jPkfkZ/LDGxpZgJkyZCA3NEJpZh309tNnOWpYQsvUrabYSWHmy0EnpRQGBUgTSFAEmzp+SX9h57UaU+NT9IRunBqz0WwxikY1bs7GC76eZzacyu1NZgFcCV1v5+MaX9Ljhynl+6Q+HfOjzcywlTfqhT9OXTHi2Bif0IFAUzRBenvQp5tCIIgucJ4BcUqmKFRfoVFZgbapSs9TmY8cqs8HJXmevJVpx8nyHL39t/8uGUbL54kL70EP7TvGCK7b9HzK4SZnZ/Iqdg/Zj7+v0HsIPDEonpFKipSQ1OivGEXhaVtK5xlQlitFlfUMePBYnAeFIEjEmTXJwm5JNsuybdAEujR0/UWHuNAN5QuBZSRIGI0J/wPELCe//TJOPf2WWoxemmWj4zNRgOkxphSZLvefglhm4ZZEUqmXaOwzshTPRHPGxr3ocOlGnlk3gKtrFKFFejHEwVofHicfeHfBtN3T53c/N0mt4TGSzR8IoixuUxvNkNrYOB+S+813ZVWH7OslP/+M+1+w6zW9/eoaj5ydZSur0fY+mEjQyoAfS2Asnc5mK1S8/r7l9iNXnZabTrPbJc2LKSycK33y1pWhcEJuqyVAGmFmyyNgGjMRAgsdn793PTTde8b63vPHFr5tf7HxdqfKsANfpCCEDovYdW83g/j2+vIAI6kUjbypV2RqWVZ3pAtSyAHgpQ0rpkj8v9bYoWKBkhZy2TUUH5sDOR73lBV1K6sw1ydk7xfcS27njJYThiMAb0U0j3vuRgA98ZiNnFqfQqs7MpGImMEwGmkbG3I0ifS+zOpVMmmTeeQHuwGYvR3HEodMhvShkOsxcnDzplLsSeRY2X3pTSRx7TDQ9dm2NUOGQbtRiEAjqsWGUA9xLs0SNsj62zEuA1wpeFXOTfX74jX3efOt5PvCZDu//6CwLgyYDr0bNUzQ8QV0ZwsRYNs/6ZD1Zlje43VcVJmcNuTLusEA1lspliENkOciNA+oc4GlWlpF3GEUahkgWz3W47Z6n9jTq3ta3v+7G48NRRC0M/noAT6PTCDU1J4T/kbR/l+/7INOYVGhSrawcyFk7bxPL5YjL4nmxjhkDdvYHlYwtniFDaRw70DgzDF32zqrkVGoB7qV4KiXwY2pBROBHtIcRX31c8se3T/DRr8wyTFsEQcBsIJgKNM3A0AgNjaAEdy2UhKEkzKSJTQxlzkQG8MC3mc9j5wx3P9Qgin3CplkVYBbEUWhwSwpRrPB9j1fe0OXDX+xx4HSTQc2OZhj5hiABP9b4kUYpaX1rKZBClsN9KM9nqiWJljRCjw1TA/7dd/a5YvuID93e4sF9k8wPmgxVgO971DxBXUKYD1jK7VXp1BUJN0NsnERQ5SuqMHpOUOOOWP681NzCYfOsTicDeWIEsYbI2OaXRINRgr+47UH/7d/6go+cnV953vxyd/6vzeBebVrq0WM3pZ2PTyrRBxVkgNJInSJTu8NZHkyagsFlFdxjsqQ4cmBnEsVl8Erhj+3RsUxepJR1Ue5pdbfBU6kFuEoLOeJ5Me1ezD1PCn7/cxPc/vAkS+0Wsl6jVVdM+YaJQNPwDY3AUA/IWNsydz2U1AJFLRDUArIKPZ2BWxP6Vn8rb8TB03CmXbOJlUzfVhMnZf2M7YO0IE+0JIo8NkwILt024ImTCf3YZ5TN+A4iLPhUPlk3T9TYsuTKqpvLn8yGjFNbH/62Vw54zY3LfOmRLh/8/AQP7ptgsdugLQN6gUegBIEUhBLbwyntLnVKlBepElnZ7xoMvqp+ZZzJHULTuBrcXgS5HEnzvlADcQ72LEGESUHHjKKIX/3g7ZPf/x2vuOkl11/2OZ5leNCzAvzIiVOhMPo3W4Mnm5O1CJlimVsrlFakUmdAlpk8KQHugrvyWOc61AG4c0IqvFCRJu7k2VyW6Exza5RM7UD83M2QMfPdhLse8vjsPS0+efckFztNRK2G3/KZ8GDSt508dZ9MdkA9ENkhs5LTTHcHgjBn7xzgXkIQJNSCCGNi7ng45MS5OutmBL7UmY4VZaOvw3bGsVDTVDEY+ezYIHjl9X0+/rWIXuwziAU13/arBtlkqXKVUoVfjZAVmWIPWTYqaOu318MRb3v5gG+5YZFPfKXLZ+5pcNfjLS62GwxEwCDw8HyFJ+xID19KfGEyqWVQCEcaVu3DNci84oKVzC2KADTX4KnBamyTNT4X7+VXRmKLWkwCJsbomOPHH29etuWFv+lx/Apg8NcC+Mc+9zCBWuHGXW1e+LwEr2+ybg4PrRXKyKLJ1zgAL5p+M/C7IK98CWB7J9eoCawElA6whdCZHagRGcA9LyXwYmq1mOEo5cAZOH5W8adfmORzD05wcbkJfg1vwqehJC3f0PI0dd9Q96HmW3DXfDuT0JaZSucQ2fsmA7kuQB74tj3tyFnNE8dC8P1smTdOil5UUOAGYWnewpXacc5X7xpx5dYe+880GNQEjUQQxoaRIrP2dMbeuZuSW5ClVil89lw6apVNH/AZRj71+ojvee2IN9y8wm0P9fizLzY4frbG/jMNopWQJPQYeh5S2am+CvCy+5zJC+lCGfyvuhVuSglqTQlqTc7a2bnA2Em/uWg3aZYFTIAM5GmKGKTM1hZp+Y9P1Vvf94/ml8zvzs2s9QGeBeA6Oij6g96/+I3f/R/r/vj2JqgBN14SW6tNxehIEUWKVCsMsmAM44C8BLZ0AkqRgRrnfgzeeaReaD6b1LCSRGe7PKSEoZ2kmqQp5xfhC1/2OHK6zp331zmzXOfI2SaEIarhUfMUTc/Q9LR1EXw7OL/m23FtFsT5IbNDZQAn09wZuP2U0LfsbS+siGPzsO94A19W7cFColDWgxeOQu6k6KyvMfG5cseAS9f3efJoQj/xacWCkQdBYmcCKgfgUgqElBUmh3H7TRTBbN5HGac+Iz9goh7xXa8e8ZJrOpxZ7nDHAwFHT4Xc9nCDs4s10oGPlh5xoBBS2pUi68qXZBlPKGTLWiCvBJq4WercbcleHQe20UAG8DiFWCO8BKlSbrw24h2vG3Hfo49PvXSy/WPKG31gNYq+DsD//a/cRpomb7/9jpXm/hMtvnx/nat2x7zshiFX7ozZPGO4ZOeI0EjSOGNv/Qwgz/r8cEY5lO1l44GlcSL2krULKaJS/DAlTg1HTwmeOKr4wv0NnjwW8PSxOp1RyCgKwQ9QEz6hEjQUNDxN3fGBQy+v08jLZm1deJjJkiBQBIHMLgBTam8/tZlF3+r8WhBjdMSFJcnIhHieJJAGz7HZxgi8AHlqqv2OUeIj8JibiZBqSC/26XvCOh1xWTDmKV3JQErhRLH5sCNEERPlrWX5YCQ/VcX4if4oYON0xPYNMc/fPWIQDfgnx9o8eTzgC/fVeOJYjaMna8SJglBhpAIhSaWTDSqSFGtolYo4z33g/F4792OH1hBrPFL27IrZMpOwd1fErS8YcfXumEu3JRw78xTr1PuR4pmFyJrvvPv9n+XCwrL69J33iyNHasQYHj0Mjx8x3HZ/g0lfs31rzNV7I159w4hXXBeBsW1R9SaZzpagBUlsAZ8HkhUGdy95YwFNNr/E9wwIjZCGODL0h5bRj5+W/MntIf1Y8ejTNQ6fClnoBYzSALwAlI+aUARSUFfQUIaawo4zU1nhkbKsHfjCJj1ccPuSIJMlYQBhQOaa2JS572kCP8kyojH1WsTF5ZQv3Nui3Q2ZnhR4mRefF32JZ2I27QSEWjIaKdbNKl5z85DbHhxwst1k4EsrUzzwE4Mf55515rHL1NqFuLNOZPE7tPEqJRNpKglSReopEt+OfYhj31qpfkwziHnJ1QkvvGLEm1425OApyWP7fAaR4kNfaHDsvA9C0h94pJHKyzcxXg7wMcvITd9WAA4YjUgNQufSRFNvpvi+RhjNK64f8eobhlx1ecyOrQmTvmHdhEFi/5Yrt8do9ZRI/VvVYP7DSX3u7d84g6+fnXrvoG+ujb2arXnwbSPCfM9nXmuOLYXc+4TmI19ImZtJMNpw/WURb3vVsGggnZvUXHd1RLOWrThGFDmw1d+5KIbztPuCxx73WOxI6jXJ/ft8PvWVGsNYMYwV584HaOERGx8tfPA8ROjhSUmgBDVpqGXADpUhVMbWgHuZ5+uVzB3kfZkFuFXWoykK9g58TRDkBVppwd5BEKNUxJcfUXz8ay1U4Fm7raK/n5nBcy88TXPHQzEc+rzhlgGf/GqHD90xSS+p0cx0uJ/r8DhPypiiW0gIWQDM/irpaH0H4Dob7eBZJvc9ReJ5eElqga5SlLKD9KdrCbdcnnDz5TFGjHjLy/sMYzvO7S+/EvLAvoB6KFjoKB57MqDTl5lKEjyjKC92nrCtgdddF7NuKrVND6nmba8act2lMUbD3IxmZsrgZYNtdKqIRrIIoo0xaBFf60/PvBf44W+Iwc/PL7Nh3dTET/6PP798FKUKGWYTa7JtMaRdUrTRjLTmQttwYcUOjTl4ssGnvmyvRJMaJqc1N10b0arnNs/aLndxqWeuw0pP8eATAZ22QnrSzkQxnmUm4WHnAnsgPaSU+FJYMEtDKDWBtEAIFASqnNFnQS7KhgfPNgLkjccuuC3DZ2W1fs7gqXMkhF6MMRFnFgKiUY1wUhJkaW+VVeVVspiCkrwc67ToTteKKPaZbim2rYsIxJBBEjJIBHXPDsHMa0jyhJaSbnmrLH6X/R15sk2X2VOts57JUholSZrlDVQ2lz0hTlJUbHMJnkqRMmHrOp2tGJortg+JzADpadptwYNPeKz0JapQLNWguvJNZ8VYzZrmhdfGTE5rTGJX9rqy585+dg8dS6LcmaOM66zk1QiVKGE6l4dzPzhh0td2hJp5doAfP7PE2Yvt93zt8eMvP9+Jwa+Vy8q4dlLuoB1DYjTt/GeVprNiOPflpvMnrgVwV79lX44Q6HzLBbKaU6HKIEfKzMrKQZ2lnSXZxq25b+zce1knvSLbeo8C3LatSxFk4A48ihJTy+AZi3uaIMuO+n5MGMacWtD84W1N8AI7Y1E6CZ4K+KpElrNrngm2YLODdaLY552vGfCJuwY8faFFL/VpJHZTWlsFaMpOHJXnBNxgLy9dzKWQdAq88kMXtTCep/BTOy/Fz4CuZJk0s3Xj2WOhs8FBKZ4wCJOyrqH51hdrEGkmMwGR75+xxnde1BgJ0Io09sjnsSSxJKZqUlTzJmU8B0A6QPb3v9wbHXmPMcmPfl0Gf++H7kBKERw/uYjyPHsW82U1e5DfVzWVHntuQBlS3wH3mvjO2S0HeDV4EVIWLWhKgC9sWjkUtlrQl/a5J8lqKrLu8byQyMOZg0K2M1vZVV8CXBayJQxM0dIWBNoZnJPgZ+wdeDFSRpw4L5jv1BCeRyipyBPp/lnO1+1KhwrwMqcjSnxmJ0bs2Dhg//kRg9RjmEKYCvzU4CeZDk8onKUyha4qnQp5bGct3LyrSjjSSOOlmlRJlJdvX66yYrUUqXS2UujSms1ALvLfTb7HkilcrxzouQO2FsDL5J57XwWyIbOXK0Av/w1tPKKVeYbJJ4K1FMIqgB88dBIpQI8GTPmgRVkZZr1KUXiZ+Rdl8W4q9yWon02WkHXlOIX1QiApU8TFmGVh8EUG2kwC5I+L1zKyL0tBKRpsAyUs2CvglvY+yIGeB58ZuPPuH08XEsX3rD4NgpiEmM98tc6F+Tr+pCJwazhcB4UxReqmrsfq5tNUMRzZCbavf1GPrz4+pJPU6Hse9UQTZen0fAx1UQefuU1l51BOTHnVZm4dZjNVDKRKZEVygkQJvFRmu9jZWp4kA3qZTNNFgk1K7STessfSBXdm8xZ7xTzD9z8G8OKxA+Yc6MXrzoWgtcHECaPkBGsxaAXgv/YHX2CyWX/xhz521w3CpDQ8ih0BDKZIq7oAT1eZ+dmV9eywrmz4KrN7ld8LgweF1aaylLGdb1Jq3HzWocoHembyxAV2MQdFYfsR1wJ4HnDmutvLZYnJ9Ha1ljzwYwI/4nxb8/DhOngBXiZPPKdAKc/2iTGEW4Zyqu6K6jlZeOJx7HP9JSNmpwa0lxv0E0VD2Z0xfAUqtQOUVOwCHAvy4hfJsUpNkfVNZsVxyvbS+lqQKkmqNKkSJBnI3eK1vBxC5iB3QJ2XTAh0BnKykuY8E10m7SrFGJX6FbEG2NdIChbti2XxHhhqtfCGmc2vevHKuVfcM7XpzWsDXMcRg775Vmn0dSaJqPseOt/yIv9SCv1YTpQq2BzH2F/jehKZfeKaSflVnmfFSnCUg/LHSzi9vDYiqwHPSz1tc3HeqWJliSq6V0pg5823lr0zze1R6O3cErSMXYLbL6oTYwQxn/5KyFefbCFDj0AKO3+7qCB057O4ddTll1qMRitY3AaaqVYMhj43XzXg217S5f2fbhGlIb1UUksNo4Rs5XKr/nQm5/TYBfVMTA7ak1kvpCjAnSqJUtoyupTZaAntlCK7NUCmBHkl25wzeb5IOzJVrCZzd+SeW7LhlnO4oK4kDA1oneAlXBdHw2/VOr1nTQY/fPQ001Ot1/zBn33hHy8vXKQVyqJFqWg9yi8Exwmwz43zYSurz6qRau7cjRzcOQCkAwpJWfPgjjbImdtuQUKx54/nTK7Kx0QULJ51w/iqCm47TmGMubOezSBrb/O9vOEgcY6YiJg/u2OC1ISoInvpBphlX2PubFQ0OGPtelraBpI0DzY9BD5ve0WfP/rMiBUdM0hrDFKBn1CwuJQGmYii6MzahePrp6S0JoUDckHqZaMcVAZyz6C0lSt2zJ6tYLTZY1mUJpcWpVvdWZYxF00pBdBLqbIa4NW1vSzUEs77bhVqtZbJaMny8gqyMfrHm3a+9s5u+/RtrcmtVYBHccxgOLpk0O/tGfa71IOg0iOpi+VEFAAvA87VgH6mmxAOkzvypAD6WHmmuxuEqzlz0LuzPZQSpRbPKu4qw24yYHtKlE5KYQfajnvbmGwy5i4DTM9h79CPePiw5NDZGkb5KCkJpMYbr9NwBPi4i5IfRaeT0w2VOypx4rNnc8yVu3t87WCdWAUMEkFNgp8avCTbTCDbWEAmmQ5HWrlQ+ZXCYXHhSKNylEc+E9JTupghqTLpV4I7rwUyWZlAzuQUq4dwwI3IJ2atzd5r3cyYfHGz39bDKOVwXgM/ioY0BoM9aRJdkibJbasY/PzFZbq9Id3eMFvenZoJnOQExgksq4A2z/rxy9xloUtxlnJWL+uqqPkubbdSsgjbPS9KcNsgUxTd4l4BblkBuDv8x3bbUwC7yFYWzJ0SeDaxY7uCYgwxf35Hg8XFOiL0rO/uXoTjNSglOVUswrz51q3jLrxpbfe2WTcjeesruzx8eIJRWqOvAuqp1eJ5OauSZODO1wqdeeJ59Ydl8ULb5r8zm/foTqWyh0RpZ667NkViyW6rnmlwme93lEsTWTZHjDP4WNNKme5bJWRXqQC3ZqkqW8pmGq0laTIgGsyTJMPivy8A/r8/8AmklCwt2U2jpDTF1b5Whwbu/RiIn5G9s/8r5cnYvQtol8Ur48VKxpYugyvhsHguVyTKqwI88LIBQH6+dWCW4fQMfpGK19njtHJ4ynbuPH0CPnJ7i5EMUFJl2cvqhTiewVy1LOf3OYtXelllNmjeI0w93vrqIb//uT6PH60TK5++lASpztwjgUyNc56MbS8T7nqqs99V3bfIZfJUg1dYiHa0tcpKAlRqymGdxVwWUVzQyZget9+nWyyHw+Q5yJ8dKxVdXkgUVmnyHODgs7JwgFH/nE37uwA/fvIMO7ZtbvzUz71319LCAr4Sjv4emypV1JGs1turwOw+F+OPV2vvZ5YoogDO+Dhk6TB2HmTmU5s8L9/kNdPeagzcefrezxuTtZ0ZUrSI5T2dSXbEKD/i0BmPbhSA8jJ5YsbKY8cv3OoJqQ40GvPCs26cMvHj0fQFl28Z8vihiFSHDHRALbU1216mwZWwG7naxFLOlpo8yCyZvEyi5B3uXjHY1L6WD0z1NFkHkbGj+bKG5Hy6Vpp39xcGQBlcFoHn2Pedo2VVw0Se+1mDBSrNMGMgL8+hwYw09Ym5Xc9/8bsaK0v/tD81s9kC/NTpcywtt1+9c9u6n3z40ScJfFFh60p9jCNR8g9hhPth1i6Ed9k7f09g8zkuEEpgl32MymFFVRmqmYOcskZaOaAuHmdJHkXmhVtwWwCXQ4F8V5647K2yvs4gYqmr+V9/0WJxUEOEvpUn0lRWlXJwzrNrzso0gXxOTMHg1lFJEo+Jhse7vr3Llx6eYHEUEEmPgZQEWQ9lOfIhY3C3nl7ooozWoDNwayftXXbWeNkUqjxIz8GupMgY3EqitHBRKGRKqcPLdsJSpuSBZ2kVVs6Ns8qtDfCS1asKwpVbMBglzGza8JPnzhy4J4kHnygY/NHHniYMQ44ePwkmwfeqAeZasmT88Zq3sS+4OthxjLUp09p2Tt64RKkOpimALQVSlePHlANqT0q8TJJ4BcBzza2LoNL3dAFu38vrL6rs7auYIIj40zt8njpSB+kjpSTMS2Mda7PYIz77I5+xmtAhkGKnCkemJFpmmzz5XL2nzxtf0uH3P1dDeyEDGRBKUSR9lBTETkA3zuTCZXJT9ZgLqaJAGbsqaCMsuPMpYRo7mq8YK1HOoikn09o+TiGr8qRwVioYKJ9/vVvFyCiyoG78YgliFCUsXDyNNj5pajeG8AB83ycIfDylCodCFNrbZMkbU8m2m2eKEVxgO26JfTkvzDerBspUPOMisBQlmxcM+fUALkuAK6eG2svqUnwKKeKr0i3xneFApea27O17dmrVclvzl19usdAOoZa5J8LdZGttiYIQVSZ3g/Rx267oaZXoNHdTPKYnFP/g5X0++dUhi72QSHkMUpnZkyJzb0TZjC3HEyuWvfOXdMHmFDrWy50VlT2W2XMJqaI47y7IhXT3Ps2HeGbSpKLHxZhcEVWAC2MxtyZRGqpTF8YVRm4XCqRUeJ5HLsm8x588yNy66Z133PXAj504dR7f8yojDgx29reTdH3mspL8dDrugWHsy3aAXj3E2hIlT5xUgF2d/e12uNjh7lTBne9skDO3cph7FYPn4ybKkROespnLY8cFB0/U0IQI6RXNuWX1oBs/CMfVKP94NyFWMrlw5IkonIyi3Sz1wHjs3RGxZ9OQxf11TBpYFk+tTPEcF6dkT7fQKxPceRkt2OdF6Wm2kshyqpQb26hs5rvO5r4XCS1ZklEBbi2yWSq5JhdjUkWM4cEUT8bdVFH+hFPDUmIwB74GkIp+9zxbtl/+Y5fuveXRhfOHjnvGpIxGo40C/ZrFxUXqtdDR2w6YVzkmlU9QBfqYczA+SyMHtJvKrrzm9DKWzoRwgs0S0JbByUYBuz64e2RbWisX3A7Is/3q/aw0NGdvlT33vBilYj7ztRaHFuoQlPLEd6zLygXL6nER47fqmDOnQdvd3Swvo408dq+LeP3NfR54ugHaJ0mtFvfTLLubVqVSyZzucpuB3BhHojhyRWaPs00LtMwPkW1qYIpxy6kCqfMV1hTEVCZ83McZSzvtbUXbiwvu8bjNgZr7oJIMKghX0W4vkSTmNVEUbUxSfdwrEkwiS23Lsgn4r6S3nU8lyofl8rymLUhl6RoP0HJAizWAXbC5Ek4TrgPubD5huW0Hq4HtlQOCihFvns5Anlh5omLqjYivHVB84stNBsMAGh6eFPiiKk3GP7/7N68J8ALkjkwxYwmfDORx4jHZ8njTrUM+99U+9x8IME2fQRoSCIoLTRW/v9TBzlpagNzNWdjgM7vAlGXzVFo9rh3WzoN6nW99ooWjv4UT6FZjqFJ3l3GBfU2MAX0VlFYDfA08uro8Se1k49wM8ZI0IY4TjNHZ3LvShhlnn7WswLVIfNwSXA3wcYlSnWhaBpeiAE0xL085uzcokdWmlOAuQZ6XzRo8rxyh7GWbMHmqCnS/YGt7KGUDzCCIiKOUz93b4OmTDfB9hFQZqLK5IU5wKWT1Sx13jfITWaabTaEfyy378mlhsvDE09Qjijyu2J7w2hf1eOx4nVESkEqfgVYEKWOfJffCGWNwe2/GPgtFYk+jlR2JbQwYKTDK9rnkerxYUaXd8KD4bnS5ashxgI/HJYwB/6+Q6VyTLDJtnCQy25QrJo4TvD//i0/jKcVKu0MQeEhZlSR/ldtqr3v1+N21mLsK6pyx3QCz3IGglCaOVVgwdg7wcnJqIVEy5raMbQqm9or78rGfBZeeigmDiCdPCG77aoP+IICmjxR55SCOPbhGFtP5O11OymtRco+1Okh+LOHjFGBFsU+rFfHaW0Z88q4hjx0NwQsYakmQaXGl7RYyrjQQKYU8IB1zB1Tp5HiKUrpIy+b5qpIH+dpYsEtdJtqEdt2U7DvXJbOP5zhWAXwM9OWZ4htDvBMTCqk4cuhRzpw+jE5TvPMXFpBCEMexM2NDPOOyOvZdrbIBK29X/hhRuYLXZHHpgN3V3AXIrd52s5lKZRWGWUWhbefKHnvufPAxcGeHn0+hzQr8PZXYw4vx/ZjEpHz6njp3P1mHmgfSNjT7TglvpTTWPdwnz8A6VStWOE3lIpusKitAHw19XnZ1n9e/uM9TJ2okiY8RioHw8FOKzyTSksXLj7A2k7sVokrlzG3Z3D4XSC0KHV74/Tmj56ttxuDF0M4xcFcCzgrIHVdlDFTfCNCrb0miYYc0GWKMwRPOJyiYMwfn1wG4GP8lOWs7gB8PLKGctiqKJV2MnZAxYFekipumdw41Bm7lHF65CWoOaN8Bde6cWMfE3isVE/gxjx6XfOSOFhCA9BFCFV1EKttI1c26uo5Q6QGIMYCVrFPR4drR4MbumqFVNvqh2CfewxiPt71iwBfuHfLgETtJINaKfiqygq8MdGkOHKcOxKW9rAQaVS3FyN9VGei1zPbzyYPiXHvLjM2FvS++Q+0M7JTOxV9JgJWSpDxfPDP2xjeqXYNYS1IVxWrjecq+YLQo7B8x/l+uAvHaV5cY+yXlFZp/aGfK6pjuLqWKyJIFpfWUA7yYk+eCPGtNKzebsjs7lAPwS3BXWNu5zxtrc6miVILvJ8Rpwp3313nicB18H6QNLgNhnMmxbmAlVgVWYvXZqjhUZerZ4NaIVKoLU4lWmaOSeowin6v2DHnZTZbFB6ll8ZEIGGrwUlEGfmluF1pAlRLFfgC3nsi1LpUEowzSCJTBZj+NQBiBESCNKKWKE1SW7J19r9q98J257mvkQexZGtPixWMx9nxtXAogTgTWKdJ4gW+beAWCJBbFltOVJSM/BaskSMlQ42n4IpuWv+f8YYV9NeaYVPeIGas/ERR77xS7F+fNt5WGh3LrEqXGwO0MxS/cE5WiPAfgmUQJvJhD5wQf/FyLUexDw8/kCUVrmnJ3CS4u3DL+qOiV8du4FevIFHdzAG3W0uIezVDy3a/t8+m7mxw4Yy++VCv6qbJVhmmW/EFY9kuzsRwOe+ePXKkClo3zC05mGl1qg5H2OzJSWIBrJ1bKmdzZDHh1Am/1pmEFVhwSLLD0dWRwhbXzJ8YgU4ER1g1S7/utX9tQC/z/euz4yb1gClkwnlnMR4RVZIMY08nOe0o6bocUWQ1J9VD50idFVoYpsnl4jisyduQjE1yPu7j3St1tHZQquN29espiqmz3By8umhl8LyKVEb//qQZ/dNsUhCGoGkp5NJShrkw2joKiwdl3WuPKTKqbiJKUk2GpBKhlLFHajvlFKyRZ42/ZC6mkQRjNto0RZxYkDz0RkAg7eUALhRC2lHatuKfKgKLQJMJ9bhxRk4G9vBhKC86VWIXUoqwXWfNw/xvHTSpqu6nery5pKElBO/+mm0+IE8O23ddtvOSKW77o7T9wfGp+sf26UTTC9zzGfevyyhmTK2O6J2fyNS0g53GZAHDdk7EaFJe1K3XgpqK9ZQGGUpIoR3urYqcHZyMqZcYkSV4pmLN3jO/FHDwr+fCXGtn8FcveRed+/vsFlfHC0vm73UBTuE8qhWtuwZVbG1LOFbSBpyzmr+tUkapMi6ce3/nKPh+/s8G+0z7ICCMkw9THI6sXyc91msEzzRM/OVSdNdrY5wY7Gyv/bDIDjzQgjZUtue6Wxv4OozN/XGcBamV1rrL5mtKkciG6rDyuJMbMjFUrAKRpRBp1XtddOT3ldboD+v0ROvMzV4Hy2cC+SpY4F0eFMdxoekyWuDpWVh+7ALddJLn+dh7nQM6r3XIN7oDbTmTV2b21A5XSqNzvVglKJqhMnqQq4VP3NNl3qNTeUkjrfRcdNKz5BQrGn6/+gkzlcbUBueKJOxOpPC1sbYosU/hR7HHFJSPe8OIeRz4cEqUKhEcqPAZC4KWZfZeTD7mjIip8XITAGTUaI1DGFGWiRtrPqFzWFaZM8QvQ0gJf5zLF8cFdsLtAXgX2Mbkh1sTYGgRbwVfeExojzAgv8FW2B6PMtsWoBoiu1inrSsrfWtFO7i+u2EHjf+DqRMDazQ1V1s6f56ydgz1n7gLoymXyUnerPIjMtziRGk+WQ/OVSvH9mKPnFP/7YxMMpU8+Qavsms9WELcG2tWTq4zctW+VMuTMC89b2MqUvavBRaU+JdUeSeoTpgk/+uYef3FngyNnPVAxaI9Y+AyEQKWloyHdYHMM5Lk3bwDPaSi3tUimyHDLjMlVZiO6bG6y36OlQJhy9VhtJmTAdwDsgv3ZwL3KinZ+rsCusZsKJKnderHoOPe8MiJa6x+qWF9i7B93g8l8FXB+afFYsor1Ks0N0pEqDmvniZQquHUpUWSVwb2Kv52BueJ3O4e0LO57EZ1I8/5PTnDmYgjKy6xBmckTU/G9i8dQvYCLEz62Eq4FdFyNmTceuD2aeQpfFkfRDCEVaeKxZW7ED76xyy99MKAd24DAGMlIK2sbpvnnMJAKSoVdgrz8f/uOyq7CbH5TeS9Lxyfv+jIiSwDl311mGZqCwZ8h4HRAq3NMOWB9VmCvUhXOv5UKkiTrUqoVW+MplJKM36rSW6y6wvLXVn04B9R5q1LVE12buXNgl6xdTmkt2DsruC8B7TC5pzNG14U0sXJEO1IlZ+ykuPdUjBfGfPTTIe/78wlG2rfyRKhCnhRNxWOWWEV3F5KscvqfkcVzXJVWoQv6PGVv0FqXG30VyR+7FXjNS/jht/Q4eCLgA5+yWhwUqZAMtQ04ZUrB4GUBVv5llal71660oC4lizEZm4sy4LOkY0tdTSXxY2VM/rtyQOuc5BiXKGJNcDuc+qzAdm9RBIOhoTY0eGE2WTXw7dy/8d0W1gT4GMiLD+h8qMoXn103z9iaJp1ltCJRjBNkZlt0u1sGKtd10I5UycHsMLksqwML3V3c21mDS8vwF19qsDzKwW0B7kurvT1RlSeVVSd3nsa/kDF8u1o7B3nVFXDlCeXWi3qsTlxKlFZo7ZGkHpNByptf1efj9zRY7CqQMWhFjNXj49WFVVw8M5PbPFCZFMrrU/Jg02QsXgA688m1YY2V2r5oVVImZaC84NbAUkWmfAMAN0CcmGynaIOXpHYrZSg98MqfOHb1uDAfXz7kOOjH2tHWDMjctidR6uwSOKaivUsrbXVQmQ+nKcGdVgLMPMjM97nxHPb2Gwmf/nKN+5+oox3tbZsacnlSrTcpWrMc9nY9f9cKX5vEM/Ys7K5Soow3Qxg36DQy2z7G+uJJ6uPphBdeHfFtN/b5w88EoCIQEiMEI+2hhLBbkOSBpihBPS5XcmvQGJGPprRBpixllJFOoZi0M14qzG2yvl4HAzonsZytTf5eyfDPztxryOc1zqsxjlWb7yhrjGVLl6VX/cfPIvrXkinjwC4uAmlK3TrG2EKMsbeoArt0UbLnyuBlI8akzBwTaTJd7UiS3DGRjkSR1j0J/ZgjJyUf/HSL893A7nct7aB3JSh3bBiLF1bpbtd3XoO9V30RlOxd9YbHtlrMt2CsdN3b/XPsvd3+ZEMz5Xu+rcc9T4QcuSBBxIBCIxkK6WwiZUGVg1pUrsJSJhX/X2Qzs+/BZXNhH+dgzmVLAXbjrBrZKqfdlrr8vBWfY202h/wzu7gU1VPsyMO82tRLYk2SeaTFno5jHDP+Ra0CtQPo/LELaATOElnV3fnSVZz4or7aYW6VA34M5MWM7PHHaaG9cxb38nHAKkHJFC+zBYMgZpRqfutPJ7j74brtbZOe1d5S2q4dUc5fKT5rvrK4F/MaTO6ePvfUrs5glq5Fuce7Wz7rltHadjOdOyqpJpEeKvF42fMjfuhtHX7utwJGibQZKC1JMldFauF8NgvyyggHY1vScD6ffe6O58u66w0YabIAUxQXgMnY2tanlE0P2T/jlGuslrSrsOQCelxNGMN4fkZmf1fepugFgcjGBtseRvFMAF/jF6wVELj3uMv4GswnHcCX3dmu9i73n5dryRNpim5vu222diSKM/Y3193ZjOsiuJQJfpBwx4M+H7+7wSjyoe4V2rtg7yKwpXKs5e2758gez1CZOVbYVE5PdcENRuVVhtVa8VRLpLZSJQd6knjUGwlvftmA2+8e8IUHlbUNkSAksfAY4EhJygCwYGvplPI6q4y1CHNQZ59Tgsr+vvy5yaRJDvT8+zVCoLOCKZOzt3SwNIafMsYza9rS+YcrVyJ708KQpppRrIkijdcMBXEN6qGt9Xi22ypx/4wgL+deFE4Da7O4cPW26y1Lx7HI9W+xn7p9XmjvYhJqCWxPjQFdleD2MnAHfsxKz/DpexocOFez0kTYkliRa2+BM0HKrAJ3sRoVf79wgC74erd8FFluyY2nsAtwrxoOVNaoSKnsxrzaIx55XLYx5tte0uP+fQHtKEu/aqvHIxT5PhB2z4Txlrby2zbY5E5xQUprQaispa1k81yqZAkfkdWQF0B35Ej25zLG8ONAH49fxLOeyvKSFAJGo5T+QFMfajyZ1XgEvv0A2vCsNzF2JZX3TsC1RnApyDW+a7FVkyVlgFkCuwR37oOXwaUsBrObCmNXAso8keO6KNJ2ymtS/uAzdd73sRZGeNb3rrA3pfaWa3xu5+8rGEbkzLgGK5TfR7V6D0emuINszNiOwK6bkkkVnUq0tL64kpo49ZFK88Nv6nP4rM/7Pu4RJyXINYKRkCidD5LIwO22thWgznUFIB34C1N0fRVAFxbIMv/PRCZVTDliIs+HmAzsOfAtJspWuxJfwmFxB2/PCHP7f3FiMmsVPF+lRXe5wZTjIqoX81hwadYE+upkx1ryZGzMmCtVHI87Z/ZyJl7mfY85JjIHtxqTJ2N71qts7xmrwWP8IObwecnH72zS6/lQV6vZu6j5dlYXUSZ4KpJs7DF8/SQPOcjH61PItbiouCcmazoogC6d7Rul1eJSesRxSquZ8KZb+3zuK3UOn8uSCnZANakQDOxaYz9j5qIVfYoiM4vz9sXMPM4XeFNIEqewSlj2tjPehSNPqkDPJZ10cFQkhRwMubHBONYKChHj59FkNqFmGKUMoxTP90M85UMeYWOK7U9WsXcO5uxCXyswGAd1/qFlrrnEOAOaijwRxey70j0pwJ0zt3AHs+fOia5styEdWSJl5phkTO55CaNYc/t9Tb70SN0OB5e+BfgYe+dFXkoIKsEwTs3zOJN/3SV1NfNUgO4cWmfZw9xJybYisbpblzJFS1IhUalEC0U88njVdRGveuGAU5/1GWmrw7NKKBI8hgKkdratypdwUTaeq+Kbzx2VrFZcUADfCFGSfaaLjcgCzwrQy4yqLpI95awcgXM+cydFAJoiEVRWbZsqezjOjxSCMAyo10K8jZu2rgyGo88hgn8IacULryJ73I4Z10tmFajdOumq/s7BjLN85aB3GLsAdg70smy06pxU9bcq0u+p8zhBStupI4OEux4M+OXfmyQ1XumcSIUQ0u4DJMq0fJXBXcdnbfb+BpKYJbJzBmRcppiKXNHkU6+yYixROiqFJpfWGxfaI0k0QZDyU9/b4cBpj7sekOhAZJC1f0CsFYOcDQuU5EhdQ5MXXni22uafNwsocx0usgtAU46SMC4eoPTJVzVBmMo5LMdMlNbhGtCsnNRGI2RqcuJz27ZtXVFXX7Gtt7S4cERKfshopy/TlRZOYdR4ltF9302p5w0K4wVTbpFUmXrP7cAyFa/GqwOdgLIoqHoGcLtSxaskdGyv5eklwS9/cJJ7HmnaTXlkkJXE+nhSUJcQSrJNrszq2u3KkTVAF0NyqsOI8pp3qcYapp3zVj4XzkVvVp/X/Jw7cwDFuNRz3zOwbjYh9Az3Px6wMnBqC7IwM58iXlYcUmhf8Q3AaS02LNP+LrOWxVyOmF9VT25/cGzIlEME5Nq/UqzmrniGMKyxtLTwPfv27T/ghb6dJZ0Iky0FY8M184/isLjrS1aCS7GauYsTD8XMukKaCNdFcbfFqEoTuYbmzncYWPNQbmCZlcJmj9Mg5YOfnOQTX25iagqEsugUHkLKSr9l2d/4LB3zLvs8UxQ09nKR4KkSeSlToBJoVucXZkFmNj/QZMxtjC5rVIREakUqPOQg5c0vH/D0UZ/3/I5HFCaOBSYw2meUJUdEnl9PbbYmi8pKw1BYkCpJ4UZkBpANNnNGxrK5FNUFIf/+Tc7M7gqf5h9JFBdnJZnoFEE+22WmDUSxxs560XhKZbtiGYNWec1B9cSXAeaY6F9DjkBVjriauzL/WzpyZWwEbwXsud8tMoA72rvC4DJ1nBQX3CnSqT35wgMhv/fZJsM0m4Ivcmswy1oKU9Hea6bmXaBXLuwxuVL5Jtb+WkwW3OVG16qMJmZVCa2RTmZTOs6KUNY9kFlxltSk2iP0Nd/7+h73PhbwhUesXZh740iBNh4jbdvRiiKSceswQ2ohpYRAkUsTB+R504OjufOfyUErJEhjKiSRW3y5RJHZCXRBbT9W6aisOpfGlp0k2TxzY8BrhAlCCuIoRacUU2XXYm8X1Dngq1/sM4A8T82v5ZzkAHftQRfcotzZS63S4brqgY+zt0zLANOL6Y/gF393kqNnQoxX7pZc0d65RKoAewzQrAHm4pyPBSzPIsjHiaSa0XSLr1w9vro2Rcus4lC6LK4QqUYIDxlpdm+J+Q/f3+benwjpDrM/Rsvic6V4DDMJUBR36xLkRgI6A7WhcFhUFlAaSbEnsBG5DjdOkseRufnPVEhPlMYFlJq9OG1ruFLO81z6pKlhONLEaWrHRjRa61BS0e936Q8Wi4Bg1VeSR7bjDLVmgFnOjB7PWrpsXgkw15Qo2vHBnb7EjM0L5q64Js7uvJnn7XkxSQq/8dEWj+yvWc9b5sxdOie+qMoSJaqsLVywjzE3OfuIcujmWny9inrGdGTZAEFZzGRsMdOqakNhGbwIOrW0IE8lWmRHmkkVrbl+b8y7vqPN//zTKaI0Y3EoosIUxUjnWjwrKnFAXkgU4WQ5hd2g17hsXrB4RvyyrD8XFXCX57QINrPgM7flS5yZYj/Z3EZ0ZUtOGNoYpqYmmJhokaYp3tXXv56w1uDU8aeYn/8cnhdkHyX/16pkNM7Urj2IoGDqcVmy2kGpAroEvBmTKdX9GUv2Tktd7iZ1KkcWWNZSvnhfyAc+2qI98K0HmHneZE261jkps5ZuKa+qfO7V+rvMulWnWJX7q40Beoy1V+G9AvQS5FXWzqbC5pLETQIJayOmUiGNtvUqiWKipvmBt/R56KmQ27+moJFQFI5ky26iJUPymKIEucGWxlLYltbzzmJVW9abSxhNwdi5fMkZ3TJ41chwU/pWLuc4ExVLOsdX3lqXS5vifSBJEl724hfwgudfS6fTxZPKQyqbvcuzmNIFsAtuMc7gpnKVVcaFrQHsktWNo2nHZIkjSUqZUu6wawGeVv1uaa1AWeyrbgNLKROkl7D/uMf//sgEhxcD2waf+d32Xpbs7TQ8V0C+ljypSJOxaU2r1Uh1SVzlLrgsXiZWikYI1krjjw0JyguxjC42lRW5VBEGIT1kbNgzk/Cjb+1y/LzHoTMC45V/hUWQT5qBnDGQk9l4qqDRzO+GjMVFEWjmRXYFi49Ll/y8mTGg5wSZk2z+fvamcfBnHGAb8u9L4PkeYeAzCnw8k60pWgt0CjJ0olVnmpD7pbpeZQXMVIFdzVy6QB+TJw64Rc7KLpsLR3crnT0fT+aUQFcqRcqEIEw43xb84u9M8PE7Ghhflen4TJqsxd7KuQBXOyfuecjPk4Nfh9HLk1cFfIW1x8Cev7a6JsXV4Tmg3QA07/yxDC5F/jgLPlNNgsaX1lVpjyQ/+SuKCysCQgeJRmDwCiYv5Ul2oeX3GWsrCUabAnyFHy7KYqsiyJTWLckdFzEuS/IjXSOAd0poEY4eLy4AG1IIUW6UkI0uUSgvPK+UvG1mZgohktKWE+PedlUjFxV9DgNXKv0qdSOu+1EFbu5xV35GldZgUXeSVwyuKqAqXRMpLbh9LyFC86mv1vniA42s1iS3BGXG4Dl7l7sGu/MGXbdkVVmso8VdAhhn7gL8a9X4uLUoLqDJmVuUgZvTRpY7KK4eT3We+HFS+0aijcpes4+TxEMYyatvHPKGF/UJRAJJAto5jJ02nBgYahhpQaQh1oLEQFIM6Yck22MzqWxDmO276TRs5H0HxX126GxfoLx2xN27026tuPo1Y0y2JXn19ShKmZqaRgh5W70WnldKIbdu38OxA3cc9+Twf82tX48wSZF4EGsGfmVCxpUQLqjLn9GV90trz205c9nY/XfK8lflgjvfTtoBt8ysQJWBW6mERGg+eWed9/zuBKcXfAiUZW4nsBQZuIus5VhFY0VuVWafiAqAy+heVEDtEnjxyKyJ8bEXnWQGYpUkKQCfT8DS0mmMkBhd1qjYFL/t/NGpbXGLR4pts5qf/P4Ob3x5H1+UwEbH2eMUozOQG4iMBXmSgTnRgsSUQE8rj7OjssFsCdZVjwugOkDPyxScf2sc0FrnQLf/XRSnbNi4kXY3+l8f/csvHb/88kvtHj2DUYKXSqLIbs2ssmBh3DmRrgavSBNHlsjyedU5cbJuawWWYmwP9FymqNI1kY4UccGdB5S5Jej7KccWJB/4WJMDR0JoqQLUNrFjtXcuTYo+y1zHudWNlb/XOWQZzRfLJlVGX83kpYuyVrLHsrYeS/iULoosMn7V9L0UFuRSmMIbFzmzZ4JWCG2nXhnrjccjw949Md/75i4PPBFwfN5Zqoqg08qQBMFQ2OCSbISb0W4dSqnLixqVquqx7pwkK+grA9DSRXFWSuM4V5n2LlP8pSQpJEv22BgDOsXoGKNjINuEauv2y/H9OoEXMeoeItV20OJ4AJl/SRWA4wC7MOnXCjCd3biko8NF6YG7NqAogktN6abkhVM6kyJuMZVlb0+lLHUFv/ZHE9z5SK2sEswzlhm4lSTbodgdg1zGEsoB81q24FrAX1Wz8w3e3O76SlWhceVLltbWFlA6mw1ohAN+J9MphbENBtqeay2UfS6UvYyEJu1rXn7diH/+zg7/+XenWB7kwM5WGi0ykHskUhQOSg5ydFaYlwM+I4v8Mzp7XhWTsYywM3HyGStClsGiC/Qy+DSV2pXK95AHrlg2T7Vi67ZtXH/d1fR6g/wahZnZDWzedvnt8ejiL3t+iDZlJVcJxhLIckxfK2WKPdMr5a2Ohi4li67IlPLfsXZf6ZaMdeWsqg7MHyeVhM5QGn7rY01+56MturFvC6ly5s5cEzu7r3ROKkVVlGwxnr2sMPWaYB5rofoGkD7eXV8AOX/PdVscu7CULK6FOD6Z1kqVvL0tH+CpTbkHZ8uDH3pLlx9+c5e6TkCnmVRJwcSlJteGxMAo0+RxdiRGEOcSxTha3IiqNjdrSBdXbhieUcbYnzFFLsA93NnmtXqdU2cXf/naq/fevnnTxhLgk9Nb+Ogfv6d/8lT/WG9YR+cllJUOm7Gy1TUCymcCdmnvjVmBldaykrFdXS5zQKs0kzF5IqfK3FIm4GuePuLzJ7c36MTZZExyYHtFgCnIpElxmIr2Vg6gnyl7WcgOsfp1nP/mG0F62a42ZhnmgaarvYuLwN2v3dHfqzp/3MBTWX2uFdoojFYksaLlGd7x6h5XXDpCpq4ed8GeliA32KAzA3dicl2eBZxmLNhcQ3frMX0+DvS1QF8BehF8Z4uOhNkpHx2vHPuJn/kv/V07t5QAB7jxlm/llpe9iU1bLyFNU2uJOlaZypdyVbKudGTGOKtXa0aqiZrCHRGrwVwFdhl8ViTJGql4z0956qjPu35pmicOhRhflrKkYHDp2IKmGOQzvlPDWtbgWjKlktgROM9Ke+Ubkium+rDqi4/bheUW3JVNXJ2+zWJgkJGFP26cyVhaq2z8myI1HjpSXHtJzHt/coWr9owgTkuQF0ecgd2QaBt4DjVEOgN57rCY0lWpsLnD4Nq9z3ezWAPoqx47hzteAyBJUq684jK+6x3fztu+4w3F+SwA3pqYpjU5Qy2sITCObs4Oh4mVrIK6UhQldSFXVhdN6UKKuG1nVdmyhjSRael9qxLYMkvoeL6mayS/+bEmj+4LSZXD2qKsNwHHFqyAuuqc5Kw8Pndw1ViICthLVn+W8pM15UkF404Wc5zVVzP7asni7reZT6bN61PM2GQsayHanSNEKrn+ihH/9E09WjKFJF2Txe1hSDVEGZvHWhBl94nOQJ5JlnQNEI87KKVLIsbYugS3e3GUhykvdm2o12rMrVvH7MxMcV69/IFSHr4XHA5qjSO1RnOP0IMss5d3P7taPA8gV7sl7l7lsviZaiJHjr1WOig6k0K5c5JWZUoeXIoUlR2en9LX8IGPN/nIF5uMcjCPMTdCInNbUJbSZNU+Oy57jzO2KIFdTeZU7cEqsr+ePBln77I8dVyHayhGGVe98RzwxspLIZFZEkgYgchqVISR1qEwxj7WWdBpDGlqCIThra/qs++Exwc+1qIXY0+Yzqgwv88a2FIti0BSF6n6rCkjO7e2ViXLeIrVSaCipFZYoEqRtUAbw6oscu6cOMEo0hAnhsmJFs1m80gYhodHUbyawadnt3D04L231WqtD01NztpZfV6mo1f53FW5UQkM3YSNcgPM1Ywuc5dEaVb53hVw6wq4C/b2EroR/M4nmvyX35ng4qJf1Ha7tSb2EA57m1XZylUzWxxHRTIGdvf5GGtX3hPPDu4c1W6hVfFa5anIGH2crR1/PGdsqpLFdVaqulxVtiq0I+AUG2c1P/P9bb7vTV1aYQJpzuCOT26SjMk1Wls9PsoSQXEmTXK/PDVWo1dlilglW1YFl/nPjDF6NZlkF5phlDI3t46pydaHPv+Fu2/buWPLagYHUL6PUvXPtJrJG6UW16U6JS8trLafjTP2avbOGbpgfoe5RQ5uxwN3mdve57p7Nbjz/kpZM3ziMw3e/f4Jzi9lyZxV7F3NWPrC6SISY/vs4AB6nLkdn7uSjnd4erwR9q96czOaJfhF8cLaqXu7PNupUsJuoy1KYAtTeuJC5KxNdi+z78eyONojjgybplN+5gc6LHYkH/p0C2o5g4sxJs/YG0mMZeBAOEVXWSZWFgxu2VxndmKx309ecpuxtMvqomD0KunkbJ5og8FnEMtHW43aZzpjmbPKONm9V78K3f6ze6abCw82amPOhzMyzS18crOOcozNc+mhxgLGkunHGFq4weQzg1vKFBVqDp/2+MNPNzk3H5TgFmOHlIhMc+fOiZclJsY7ddxG6ALMVGVJETxmZ7pSo/yNqZICzM/6vuN9a1eWuBdCcV9mNauuiht4lgFnkbp3WDx1HJYkkmxal/LOb+2zZ1sEUa69cyZ3g1DL5MaUDsso1+TZkZrSWUmyz5e4+ts4+nwsAHUDz5z13UxnkkJkPA5fjB/8z+/74j3f8abXPDPAAfrpFfTSqxglE2AcADxDQDnujMiKTFnLSXFBPQbyPP0uNMLR3iW4s674QHPkrMd/fO8UdzxUsw2UFa+7Kk08QTEGwpOrtfZaw3wqP+OM+32mSsJco1QujPGfF2u7JPlVUZmTYsbvS8vQBXI5O6X6nluUZbDLvclT+rk0GfPKU2NT+Vor9FDwyhcM+YV3tdm9JbLOSh5k5gGndgBvzGqQZzIlLuxDUalfqViIZu3XXMcl39al9P/tudkwU+OVN+7g5TdsX0UU3vgLOy57LVJ40dGn27QXVrIyRCfrWNRF64o0qaTkXbkiV78mpXaCT1eWOLo8d0oqzxOUrzl+0eM//eYkH7m9QSSy3ahEtb8yB7fEsndZ573G9tvCrJIkrAFOxoBbYfSvR9zum2vVo9jc2iotbu+dktn8uVMnbi8Wk2UQ88xm2QghtQW5FjbgFEUmVNqsqHaqRjPJkmioeQlv+5Y+qYaf/Y1JTlwU4Gc/qCn1XL79cQYnbQRxdkKMFHiUc1UMAkm2HUoWdNrtTyhKb/M4QlSC0zKDbJlZgLAX1c5tG/met35LFMcpv/ATXwfgE5MzeP7kT7Smdl+5snj65Ub37EYHbu/kGGir4AaR6Wvh/DeicoHkIC/dk1x3i4LB3cROlob3Uk7M+/zUr0/y0S80iPKxXGKtw81YOsPrs5O0pjRhLNh0kDvuf1dAPU7bf43bOK7duvDVafuc8U0hYcQYe+evCUeLWx3ugjwbB0sOcAvuvDEgSQy+l/KO1w7wFPz0r09x4mJANoe5ehFqrDDOzr1GEmGZOMhA7Bkr41VWsyKzdL3M68izi7gAdB4wFzauwxcChNGsm2ly7VW7v7x757afWFrurjqvqySKH0zx+MNf6gyiyQPDuJ4CZVYyH8cw1pBQyI28lcyRL9VkUJlyL9+vglvm4HYKq6RMkCrl7JLiZ35jko/evga4V9mCtgjJl9UunbXYOwezOx6jOImwph5f2+o2VdD/FdA9HmCO++LliwJd/KwFby53NNUh+mXFYblNXzHnMNfmukwAmaIC0WY6bXmtxEvhrd8y4P/3rjabZmPHEx/3x/NDZ7rcyouo0OVlMqgoux3LehbJoor/UCO8zAAAJ6JJREFUnaX9UypluUIIplt+ummuceCTn7q9MzszserUemuebwMm7bxrwzp1UzTQ11tAuqxN5bHIpEXVH39maVKwd/GersgRC/S8MydFKk3iC97/yRYf+XyDSLmA9sbuHXCL1RnLcd1d1dUlQNcaD+H632vp6yKTKcRfFd/VbOaqpI7btmYqCaDcErTyxt0t2bJjxUlxfHFbsJW5EVlBVu6Tp/lrKJAGkYJHytte2+fAMY9f/sAECZSz3MZclerflmlvQeH0uJJRUw7mVyZzTUTe8pZ1/hiH0dN8FBwYJIlsPL6w1H3X+tmJNX//mh/ruhtexabZxXTz1m2mVss2TR0bSVw2BLuM7gSRQo+xcPncBXU+1qGa0Ekq4MYT3HZPnQ/f1mAkVUa1LqAd9qaUJuW+Og6gcYFuCl1X2W9HjIHcYWpXa7uAzn9gVZnsNwJu5wcrMoWS1Ve5JuS+uPtzeSaTCmsXHvl48Fncl8VYlsHzdH7G5lqhU0moDW9/TZ9vedEAkeoyy2lip448Dzyz51nRiDE22BxljB4bkTksJZvHxsmE6mrKP8kckzgLXkcJRFqx65JLzeHzSfrGN7xmzfPrPdOJn9r0atJk8OHO0sHLdXy6mTND0YxaYXGzmrlxA0ydsWbOzqZgcJmxdQn+tHROPI3w4C/vrvETvz7F00fDrGF4DWAXz0tpUrK2WSNbOdaOhmE8g5mD2HVcxnVLJXU/BuqvC+6xNOZqeeJ44LiB5ZgnnnewmyrTu/e6wuKAzjxw7K7CgpzVZTEASmtlv20BwhhMCtfsifkf/6rNv1Pw6bsblsXdsdv5sqDV2Alw3BwJKeBjY4W8Ft9+RwKZeefS2OciPw2iXL1SLdm7da73tm974YdbjRq/+ONrn+NnWFig3tphukv3/drE7O4F3+tlY4ertSPjtp90QavGmD5ncbcisAg0LbBzcCthh/gIDz5xV52f+l+TPH0sA/cqr7sqTYTMgkqcnRly/c04qJ9FbqzlqrD6WJOtx9h4bXQ/y+tjNSq5U+I+H9frlZQ9rNLehS/u6nFXexunTsWxD/MOoTRn8khy5c6YX/6xNv/gZX1LrVqvocPdo/TLwVYCJln201YmWhlTavOyY6j0z0sbMdKSdpxw0w27F778tUd/7YpLtz7jqX5GBgdYiG5Ex8sMOg8y0+wihLZXhbBXU87WxTQix/5zC7aEq7+FC+qczdNSnohclsAn7q7z739jkiePPBO4ZcncVBM64+Mf3JEPlQGaXw/sLmbHLMQ1igcdtH/jOnx80FLB1s77ZV2KpbMiU1hhc1M6KmItNrceuMg6711tjpGWeLM6Fe1oc7tja1klQwTX7I75L/+sjTHwqbWYvHKJyvJNAwiJAdKMwVMBCeBhd5BQGXsXjJ6tILkZoLXh2t1N3vH6y9g4N8m//aFnPreSZ7ktDS4ZxWntn66b29UTwg6PKzzwzM7Lq/zKem3t6HLXw3a87SKITKvviRQhreb+9D11fvrXJ3nyaLA2uBljbzlea5I3MDg1J1TZe5UkqQSMY2AeBzvVxof8Cqg+/foQrw6WHCu+Gkvb50MpbdApVsuVQpe7B2Na3NXqLpuLKovr0lWxLK+KXd20VqSR4NrdMb/8z9t860v6Vo+PM3kl2zn+3GZvTMba0RijR0YUOj3JSm7zsSZJati5dUdP+v4/Xb9hy+jZzu+zMviNl53Vnr/z/l77de0TTxxq+l6M9KqJmYr+Zi097rB6ztzoilwR2YUilMYowWfvrfHvfnWSp49mKfi1NLdUFXDLgr2rLWir67yr7L1moocc7GIM7KLC8jmUC8A/k24Ze21MhThviIKux0tpq0Gno8fdi0E7/0TWxykKlndZHEQ+4zDT4tklj5A5i1u2z8sYRUYQWmdqWkh0lHL1rpj/+i/aGCO47as10oI2M+Y2LnM7f4nJvrvsBBkECVnQKcDLmF1mhoFnzP/X3pdHx1Hd6X73VlW31FJrl+VNXiRjC2OMF8CADZhtkhASSOIw5yR5zBmGMJPkMYEkQ8KbjWSGQPJeksk7M2GSgWSAM9kMMyxJTjBhZzCBJBBsgxG28SphSdauVi9V974/6u5dki0v2CbvniN1d9WtXqq/+vX3+37LjTv0EobGWh8f//CFw/V1c196ffsYmwzDk1pwPz0DXlDfNz6OdRV1q0qcl4zVEyLHIidwchrZIXdjHhF6NxHPQWgM7id+k8bnvlmD13fJ/BLqgNt0MuM/AjgBHbO3iVN2ZlpvJFtyG+Tl2xR2nXnm9qkO7vyp7SYmjLnqGGmBVY643b9QlcCZVtyx3OX9VmxO7lpys2iCFQkWzy3hWzcNYe1ZeXjSkjMzrC8te2hsM6x53PRcqS1SO8/z2KrnGVDgcVV/oRTiyrWnlwKU1s1orulrm9M86XmdHOB+CrnhHahtbNvXPGPhjmw2jcDLGz23IyNJygmxqyIFbaF1qqs9h3oc3Cd47MU0bvjftejclYJqM2XIf5ZTCb26FSWammhv3ClmwETWeyLKUt52LRHQJvDdK0BPOSi4k8L3KmIJl28TxcddKZFJGdGRDDmM+k24uSwSvEZwSDibujrIK6vxlPIhLxIsnFPCP39hCJecnYcXOcB2qUqZ82kHiCTQmchjyTMgFwGDRQ6/ugZLl3bsWLJo3r7NW3ehIhVMem4nBTgAEOqBjv/nrkx68JN1TYtQEeSRThXjhvKqTbHDp4ltqV3uLf88wuClOJhP8PhvKnDjN2rRuScFnuhQijUOFS1xc7z130QdqcrW1ZH0xNxmIDLR2XQsuQ1euxNYvH9iePOyO+KhYcZNCqJfgWvgM4emWAlZSLTojJkgp5a6wtzIpsw+ZPoisAEfW3ReIFjYWsI/fW4IF52dB424SNBiBtBZAqATkrhcwLMoXgs0F+K85QvQNzr2yW//6KldnneQZQFxEA4OAJnsPISlUXh+VfdIbsOz/bmXz6+v6kU6lUIUeRZXLNfEY6ADQkUBV5ybEA6a5th9wMfGV1K49btZdO5KgaeSNG7TsdTgJoKOpAjgQ9aOaus9IU2BkxabpKiYPFvyb+WIOg4m7IuD8HLwH4oVV5ZcPJEVtSQa+CYHBzFkQyK4tlxfU+ZyMN2DW3FxJvqU8FhSZOJTxWvP67yVeB4VCVlxKworcikYMCUAKTF0zC3h/35uCH//PYZfv5zG7gMAUtAHqPCpIPdcqmD6wlXrf8urlkWooONoO6UWH7j41Gc/9v7V3UOj46jLZg4K8INfAgC+8g9fxfmXXNLfP1Y38ptOfvXYyFa0z4h1yfjDGVX3Vv5JeUJVLAlyeGmgs8vHV7+Xxbd/XI3d+4O4d+BE4LacSy0Jyt4mynpT2QpC5LBLTm4sB6K7WGmKT51tHiV6m9wuJSu1zItYckQukUfkMtJyn7GNmHOS1Zwp3QKwVpig9oXp0i+YxQKEqyvSpGRuYpmwWoYvYv7UuD9lYl4ENDVEuHBlEdNnRNi6zUf/AIVecNO5qstit+Z9cXWHIVYu6Mftf3kGVi1r+0JPX+dzM1sWHgp0D27B5ais6UCQqn9p1qzxB6en91xVLL2sLDVgWG9wZaGJALi23FxZ7m1dAb5yZw0eeKwS+YgC6cmikza4Td5tLxblZAvCsNTyi59gm53+qvmH2pwQg9fUxfEyj3C4UCiPTEL1cLeStAhU+D5WQgzrz0SOB2BkHsJQWkyVhYhkkFgz1xyegkjrLQywa8lBABpGaGkI8YnLx5EOgC//SxbbuwIglQBgabm5XAWOQ61iRbRVb2s/Cx0LVj44c3rHS8DQIZ/LQwb46mXTwPlbu3Dq6s/m337UK41WfoCzAuIAiwzalANb0RHCAArQgGD7vgC3/msWD/yqEnm44KbOnzBPNMmpFPEFAW5liV1ebd7SCbYbQLZyUBQtSeDkLkUhBuAPFcllU+Mv1coxMcDs3sb7Dc5tBXhMjVxQWspVuF6F8WU2kwwSCVrCBbiZADtYfKMuBoge5fE7Vjo1GMDzEdIBw7pLxwEO3HpnFju6AiCINAUhimMZtEWAWtIWxpHNpjGUb3wkXXPRZx9/sXf3pavmHDLAD+pkWqeezAcb+8XuVM0Fm4PKVrAoEplsvFwhIWaAR4A7TbCzx8ff35nF/RsyyHMqihUcMJsRSlF2JmFFAKvdsebb5TWWKtPRAae5JB1NcCiRAG5XNrH4tUu2p2jN5S+1xcOdWysgZARxzP12WZtOxJLPYyssRhWQ06nWXhModjZtOZGK6iAjtA/qHOOBlQgqOcPVl+Vw66eHMbelFEd0ylQTRzaU+wgFQo5l85txzRXLNm945undl66aNqVze8gWXF0RqXlAMPdr+f632vJR8Y8ryF4RxYy1bAIzsMPVZVTkFL/7fQp33p/B+scyKBJR+ZsEaJeWyAWTJJ+GyLknupBB04/yOssyegK93QS3um+A3LLIjvV2HU0T41MdpqKiLTYx92inUgFdWGoiW0wYOSqc6/XjoY2laOUdV/RYFEVaeB0M0m9EhPSlA2i0kaBUBn/kkj9EBYQoBaKQIe1z/PGl4wADvnN/FV7emkKByU9NoMq9OYfiQDz+7O1zp+P8Mxf95IqLln3t9Tf3Tfm8TsmCAwBJnYa+PRuGuH/6tQwVzw3nOEZyRXheCYEfV91Ivg0CEI9gnFP8+88yuOoLdfjJYxkUKTkIuKkGtQFuGcwJBKhl4bDVPBMmoLlmOERaaw5LLrTA7fQdTKAmOnRPTNyXn6ep0HLXYsO22Nx6bNdu6gOI9QtgWnRAFe4oWdGyyNKqq+2uxSZGwIdYujlT/Nwziic8I5GLIAoJAhaD/OH/M4A/eX8OVZQZAR5htaMQCCMQVkJTZgytdXnU1aafO29Z+7V3//jpobPOODTH0hxTtuAA0Dznw3h50ws5xv5H8eZv3oc5jdvwz18cRL4Qqw+16fhEER8YLRHc81AGf/PdagyOeIJDTARuAWhIzm3zbo/o+krfUEYkCM1m9UkFwiCakiTlnbiigDVPbDQ227dCISlH+gSY1rR3YtxbHF3IhtInSwjZax5enlpLiExN1VZccXDRUSi20uIq4bphEBgR/p+QDrls00zjWkoGcMrAQEGZXrwtvs9BwcAZh084mmsj3P6ZEXg+x70PZjBWkgoLQW06prqFIsdtnxzCuWekkGq6tAjw3BXvufxwoHp4AAeAaS1LEDH24jln/tG587J7K1/f7eP766tQW8Vx7YdyWDA7wpvdHh5+Ko3b767G4IhvgFsGbXQmoPqpUjq3UZ2DuNY1gKYmVrN6w1qb+d0u2Kn8VTGUE3IIt8lcXIN+MjyTCfc4YIYLUr3dEhuMfepCMbIH5YUQLzWio5uEC8JjhP3t1dziC4BK4DNZDCwttHhhRoW/aSIZmq4AoFx0uBKA55LGEAYWcjRkI/zDn4+iwgceeSqNbV0e2udEuPaqHGqqOO7+aSVeeK2m8OHLTnuuaX7Hi7HhO7xxROLW0HCOlopj//jUU1+76a71r1X88vkMAoT40w+N4YMXFfCv6yvx2EspFCLPyFc11BJMQE+syGVstdPSsaRGCZrTgk05m6LlnBWyt1ZvcLRwAlBD9ybGrwMVurbUtuWxRM0X+wnRz+ERpZlToYV7cp6a72rsYoUVAqMPjXjPVG9XK2uoeQnbiBOTSFhqhhDd0sNadMBa1UM/lolyHuWqaMWMWhOVsqGDefY+vS3OuiAoRBQbXkrhzvUZXHlxHtdeNYYUI3j4qRRe3n1mVynKLLrti7ePHglGD9uCA0BtTYZdf+sPbx0Z7ijtHUh/CamdqVIpQlcPxc5uih17fRTyXoxOk5Iok+gmUbnyIFQoPmlJbbM6Xllv+SXC5tjSolu6t7x1HEbrqjdUkUSVxZ4CFcmcqumQ/qQ8jrsURW22HEtlsV1ZUVh26bupjEJIyuJGQCG4N1OV+oBc11KkBohV3KjJ16WlVq8vFk9ALB8yEv8KMFAhn3NRHcRRUcHQPjvCvBkRZk2LkGJAmAvwnnNPKV5x+bS7aKq6eNsXjwShRwhwAKjLpottc1rvSPnjxUxqx1eWLBiin1k3joWzGDa8mMZruwIDAgYNcTl3WaagGcwRvJuWp8ESh5q4IXnXSXQVE4VTR1FJeg4Y8xKBnQTag42DXAyq+OFgXN4pcmAE8ATwk8EMMBjBIBARjidiVWOIJcMhaAnToDa4OSiNObaiMsSYH6su2ofm4IQCPFbaEAGdO3zc+4tKvPhqGl17CFYvr2JNTe1fqfaXfbNY7CkeKT6PGOBf//xH8IvH7hs/a8HMB/csX/llWnoEKxaHQAGo8I3wlmuhYVAUk74YwlxZ8pQ+SoHa7ClY1nItyXpLi02SwQ/oxzZqiZVAlQR4c/rhcD/u/JXt5xrsqukP4ZbVVtE/w4mV4JdpINqKEwvslEh5MD7f6vXkc4CrCn4o9SWujJcyIuU0liUF95ZUnYKDwRNcPbbiIEChRJDL+/jdpjR+NROYv2gtD8fbHywMDoyfc/afHik8jxzgAHDGqQtRW9f05szmhk+nQtxZHHmY7h/Mo2dQRKMUcB1gqwiloCSwqYkPM1JZHo63CoUPVoYGWBbb3m4kUpkW2jmuHLhEzUvYbD1PGZInuwIMvRuG1TXpi+l0kthE2+qJcRHIthOxk2mm2HIVuofcJueIqKfZHxGg8crJQExTiHRMY8tNEVMcQGrmJO5AxSlEiyLxHmmsCDGO5voIs5sZ9vWnMf/Ui1l1Tcenp7XMffPtnr6jAc2p6+BJY9bsVUjxYrGjY+3d82bQz3cNzsbf/lsVfrs1BRqIb7yMY9Ny4BP9pswQvLosjK5TiTwctlVOyiJMyhqUoLToSAJIiXE/EbjOsFJlTeUD5fet0jR3v6F760ilfay1z9K3YfFlt5+Kpatb8qNZAJHc91D2OtQheyPSaaTbWtuYp+5HJYKzFpVwyzUHcM6KOnQNZT5/3lnn371tV1RcuXTl0YDm0bHgAJDKnorhod1RtvGa7RufXzJyIHd/9i/XbcOPN2SxvcesfHcsuOLiMapklqAM5khlxKNu6weumY0DfItrJ1ERC6gkkWsnpcTGx9ieKFGzpXN5OORED+4+IAmPDXRLjp1k6XWo3uDn0FacGMcoiVBafhI7nWBMpNVyVTQB8ZwAVA9EufIxo0Q8DxHOpnBOodTEuKWyx7Gjl+Cen1fjkpXT8KP3XjKCqgu27+rqii5c1Xa0YHl0LLg6/ySLTa+xR85Ztvozd/3d+/ovPqs+9p1pGqBiEVYH0FpR0dQklvAcmQ/a1hOYKontZMKcn2Cty6OX5VbbdByBcvAnzZn0/sHOW5nVNvJIjMfxXOJwdTlXchozXA9VC2+1lXACQ1Z7Zq6tOzPnc7PZkAC1ZbENSy/epz4+Pk6u7hZFAaIohWKBYtOuOegc+rP+ue0Xf2ZuQ+mRhprKownJo2fBAaC2pl58CX33AZf4uw8Uv1bX9GIzBvOIFymPDMlCmV9LNVG1lXAyBQnK5EAVyNHPaPFwGM5lYmUOKcekfHtlwDfB714IcJ5kssfmcCy0ssZI3mbtFw6mxcct6xtbUSJaSXgwrLh0IMFVE3qX5sByLmNuzYQZjuW+OAJKqHY+Yw4eW2hGWfyaysHVxdkRowijNCpTDbj+6vf1nnba6i9u21O875SD1FcezjiqAFffKWnCjn2jP2iZ9UG69tzw9h29G5sPjCR8ewYCCDSgTb3bA1fANTm15uUTOZY80XLDAjYps/AxpUmiIfrtEuOOeVHIm0M13geVy01K4lCVcjDblEM5nMZ24oBbzoGkGERENAFD15YdbImOciJ+fghLDxB7FWZCxIWTVLAXv3b/UAWC2rW971/x3luA/A8IqTsWUDy6FMUcbbOq8fQTG+5e3Fp589UXZ/sro0J8aTsftizHG+UdqVzVxAI7yrMGCXXD9rZ8F88zZT+UgdlOgU0uUXM+iea+h0PDEzxPi4qUWVhzui5MtmgKTKfQ4OOuoymflyfRl+QKfL1GkJ2cZc+1z1Scy8JAUMS2vjn9Q7mmm7e88uTdxwrcwDEEOABc87Er0da6996Lzmy+Ydmps0ZoCNF5MYRZAkLg9PCG5NAGUCmH3SAzOaBjqSlAmQVP+nMt8WQBHpN7T8hGuLntENHuOIY84bnMYfJvs7pLgtM8VlpgG8DSCdTgnqiVhHWRTAJ4swpf9DYT8iRHRSpEZTpCFAGpzIKRMTb3hhc7u+9dsvyDxxKCx4aimOOHT1Qw6tOfnL64KmybWX3P/p5XKvb2M2zdV6dS+3RFPBeBHZ33bXalSpT+lNUuL0Wz6YjtXBqYsni2Wtw1yelMvAfbfMNQWqYweAINMbk3lNYdA5sYyDfD7zZ9iSmIfHvSGSUywUpsI4I2QNITuagVJFUhSgcHY3FVj1ivXqoqKnzP4pAOI6LJJwh8j6FzX4RteyvR1roiP7+q/roPXxY9EI6NsuuOMf6OqQUHgO9++XqcNr02GhxZ8cB1VzZ94hs3zshfuHQUCGM1RXaCTQlwE2LkdhPYwIbhTMKxzij/S1RSYEiABqYsLm3xae0jyEHIhIZ16oMf2i5LaXF0a3OOpimGKiK2WUEemHq5TUvMviq6B4uzD7GWDYuqELGYK7VawPkewWMvBfjRf5+Tf/aNjk/UtC554NXfz46CpptxrMchVdUf6fjFI+ux+fGVfF7HqVsfeib/xsYtDe/f2VMIOKWo8AgqPcdyW6VoujreauQj/6iprnBLabHuG/RGtuQl7lyZDWj9Oui5MlvQ3E7NCnvxHIn3ndsyWVNeVAehU5YzbPwiySUMRVEN9OJYrgOtZhv0y85zl79AlsqUSON42a9ifGWJ1yAACEOxSLGwfUFuzuyZf/KxdX/xwKbhLeyz1330nYDesaco6vxU/wU+/lc/4GtaqtZ3zG3wfd+784XX3q4NCz4qqew6zi3rq6w3YFtr5wuHPNnml6S/OydET6w5Lg8vf+MTiD9AwgE24z4cX9McSh0xt4k/qRC6LxLv05JgDPxYHRHCoLrViVhcpLFICx/zJWnpiSkvihdhktpwrhSW+A1I2RAgYBgvEETeoqH6hoWf2vFKw3o+/HWQmiNMEZzCeEcsuBybnn8IHWvW4Zt/c2DzmtOru5rqZ1/Q3TWeKYznYK47qYBN7fxtYjbTlDq4a6mT7idY77JeIzLf291eZoHFNvXLYeR9G9bc7YMykQWfKOnLdJhNa11+gRPjIkxYrNb0QYzngvncAtwQeS3ufPPitwJkqkSQq8myvUSxSEH8ZvRHZx/41auzbnz41/5//NmHxlA768Z3EnJHbGQOe/T0DiII/Gsf+eXzd/zwocebt+waAWe++qn2qE6RjQHurLHjUBMXtGUFx8QGcFLgiFog1mA2m/1Q6l4kNsDVNjVPUxldACFKUh0KZX02Eck1HWi3+MFSmFyaprbpQgf7XHFDTuXque3lH93HslBCF0R4xqJkEGAvFCMMj8/A7Pb39c6Yu/pLjIXfT1fUHxecHXMnc6IxrbkOaZ9+/6MfOP+Wm65f07uwrQIsClEI487+8ifT/NLMKhgyEbjh0A7nfpI1tII7MK2VJp5JkU/zAG4/nPIoO4aTBP+zvOeg0sQtXdy5NcPwsJ1FWA6inYRldahVKybrDrUqfA+AihX4whLDQK4aYfVlvS2tF90SRcFxAzfwDnLwpJGpzoDz/XevXb0yHBlNf+uZZ5+u3/jGfnTuzcRL8VjJVuW0Qv0cm38T7tfc27xV95MuBmPeRFHHJH5+0Agljs4x+lgp80nOLOU/oaBI7i24uMwhh7GfEZkCG2/VnW256Fso3h8nAJhoLSMuEgKk/BLe7AYGxjpwxhlrBvLB2X/1xt78PUsX1B4ltBzeOK4ABwBCWjA0HN239txs/6yane0rzmz++g13vBFQTuFTKpYDFz/pcLkqT+ancHkoSbTacC4C9Z6M/3rYEIwvigkgeQhILQP0BAiXDuWk3qsBbEBq37GjaV6gnEvIiwvC/OWR4XsW/wwKN1NdAPJFGUOc6qa6UcX92UO/hBFcUOrOzbz58nnnb6+sqPw5Ie+oi5c4jjvAAaC2xmOcv/BI4wXnpfjLfblPrWv8zjP//QoZHCnQlAcEHlRFvBxJljuJmpgWO8nqg9hKBXGeX983VnIwJyaNwzHHk8xXtEK8T+5YauUEGsoKNx8rKy6ej+g7Qj9RYGbgOq/EjByBq8gnIFaPoAw+DVGKapifvYC3VS78n12lxf/+xK+3F69Ye8axgMqUxwkBcAAg5Bw89+LWYnXVvPvOW0qf6hnMf/StXfv/cWD/XqQrvLhLkuwVgwRagQkojGm9xTHl1ltANwFk6ivlcK6MyT7L1D8/P5SLgtufPSld3HqvsOdIsDPGY2fXsNAMRJQJE/U6nHMjmioqe8RKZ3FeUBFNTU1IZWb8HVKL1y9onLVn3sy+Yk3TiQFu4AQCOACsObsDAMZv+vp/dZZmLL9jTeMbqeH+zF/3dO/xBkcKyBW042V9uURLanZlD5mUs7sOJFDuSB4JN35nBzEASZSWTURIHoqexB9SFjCYKYsS5LJBUPkrxGckN05RijKoaVgQeRW1t81cVLxj9O2tUab2/ON9EiZ4zyfg+MadD+Dzn/oI3t7f99WnntzwkR/9/Let3T3FSg8RPErU1yL7h5j9v11wm9G8RK3ZkQ+V1YcpOxJRhGRHM637jhQ4mUxIE5xmKR26UqCt6+vYgJLy1Ofh6vNTasuCSrc2/Bd3u+4bw4X8F0uCgKQ8DBVpjnxUhVJwceHc81Z/o6q64a93vvZTzFt89fGGTOI4YQEOAENDw/A8jz664Zek6Df9y/r/enoJL42v6unt90vMByEEKZ8j8PWSPirAAlMCLAe2vq8BZ26jzrwTEuCEOxdqsjY+IbCtULvdTMj3OAKfIRWE4JxjLEdRWVUf1tbQja2nXM5Cf8nG3Hh0S3NDGplM9fGGyoTjhAa4Oe669yH4vp8dz4197/U3d179xG+7aFgooDlLUaHWrNKWF0igHRNYbwI4fcNdix5rBScawGFYaDeTkhA7+GNZa3lu5PkRikpM8eJfAd9jqEiHyGbGkMl46B05ldU1tP20ujpzfRiGIwuXHts016M1TigOPtm47porsXvnzpG6mswNL23eua238OslbHz8qr07t8EjHnzPswA90TC5uPENl+13jjqi9574fo6Q3Cc7mDqNlih+rbXuMt9C5Z7HjmXM1+NVjsOIg7MILdPbMX06fbCOXrC5iEXfphgdaWttPaLz8U6Ok8aCm2PLG7uRzVbP3bR56z9t3dp51abNr6H3wBA86sHzqOH5G5IabIssLSzgKC8OxVHWGThsC27mueh9dj7NVC24uSy5/bm4fq+wKYumWyoKpJriSzBwzsCiCF6qFvPmL8KsOe0PtsxceGMhP7Yrk517vL/6KY+TEuAA0NvbhyAIFrz55ltLR0bHPvubV7ZesGnLVgwPjSCV8iG12jDSxQBlMqLjTL4rAO4UWlOLp3PxOnFOCWMEoQjBAxychajMZDFj1imon9bxTCpd9e2WGfNejaJwWzZbf7y/8sMaJw1FcUdzcxMAbOOcbwOweTRXnLHijI7vbtryxoLfvfyqVyqVAEZQCmOA+3INK3VJa6tl8tHkMTU+kVQdf7B5U9XOE9+ylrHVUoY6wmn+knEEfiwHjo9RhCGH5weYN39ZNLN14Tbwwp+3LVrVDaDzcKqTTqRx0gJcDvEFdPb2HeiMwug9mUx61ppzV9z/5NPP1gz076t6uXMQI6MeGqqF9bSOtTVwOfSKZWKe+nc47+9wP9ihzNGBGOs9GmVr1OTinCBicepDtqqIvuES+kZa0Da3dWzZitXDURSua2pu3Uept+tkB/ZUTuNJM3jcZZ32D4zU7u/eeU5dtvhvT77wevjQozsavHAgm/IZhsYicMaRCrzYqot8Sm6BWVMXncLqVvDotFkAmn5QAo8QlX5rVvy4FMWmI3a2ZFLdqdlNwNLBDZplO5bxXN/j8L0InAMjOR/VVQTtczMj/VF7f5BZ4rfU+p9ctLDtBS+oGgLA3i3gBo5juuyxGIRSEEJYyhsbmNM689G6uuzC556/p/1vP/fx29576TlbTl00+xWk6vKpigwI4kCGjoDGX6rqBSL7f5jP74guZgW7us+NY0jZHTXMVFbz+ZNVHPkCzuc1jyF6gmyFHIYcxVKsiFRXVaBlWpBn3rRXWmav2tJ++jW33fXTH7RXZGoW1jVMf3R39/AAIeRdBW55jt7Vo3PbTvi+TzZu3Ii+XOB5QeY7lSS38O19u9YMDvR6Q8PjyBdKyBdKoJSCUKqAZK94TNTqDLbWLi2lOSde0UFZcSub0azx1FZbBaqM1Rq0VQZkOoK16oOnV3eIFRCAMYYo4qBegDDywEklZs1sjubPm/nctCZ09g+Mf7qrNx0tX7EKURTyhqZDX3PyZBzveoC740D/IFKpVP3gYP9Xn37qydTm19+KPD+9IozYyp6ePoyOjiFf5Ah8H6mAIPAJPC+u/qceEQBz8q8hq3TkMiVxJbknwE6M9AF14g0lxfNiJ1ilHBjUw+yTQomcp6OOvseQ8hk4DzGWp6isrEJNbSMYo78dHSv8rjLb6q05f22xsbHhfxWKxYGqquObn/1Ojz84gLvjscefBiW4YDRX/KPxsbF1ufHcoq7eMWx5rRNpn4FHRZTCEJwDlRU+KisCUErAIoZSpAsHPBFJ9QSwfV+D3P3Zlz1I4osmTgf2fRPksWUGiXXqMCSIWLwv8CP4tBSvQ+n5yFYFqKshmDa9HbliFumKzBvV1ZX3M57eAPBnli4/8RKg3slx0qsoRzouu+RCAHhmYGDgGQDPlkph++6uPrZrdzc7ZV7z/Nmzmr60fccehBHB4EAveDiKlE/QPVhCEHggiEEY+BQ+bPrieRSBOMNRZPB1SSU4EBAC4hNR0BHbako5fF+uTMZB/SL29gAp38O81jrMnNGIsRxDXWMrwnzfHQHZ/1Zbx3mU+k2UesF2gD9aW3ty6tZHe/zBA1yO+vp6AHhUPu7t60U6narr7n57I4iHfJGXzly++KaqSnKZ53Hs2V/A65t/j+6eYYRFhuq0h8oKD7lcEWO5Ajj3UBH4qAwAQhgODAFRRFCRpmARw8BwCAKgOuMj5RH4acAPUuAIkE5zNNSEyOUZItRh+fIl2N/vwfcC1FSTx1J07FvDYwhmtC5Gc3PLM6VicbCxqel4n8ITcvx/gE8wmpuaAWAQwMMA0NXVDQBbPcpbCGGscXoRb+/bgZ7+cSBkCAIPlESlpctW3prLjV6R9lmpviZAfU2EmqpxvLWPYCRXiYYsxVA+ws63S6hNE9TX+Kitpmio9YJsNvOz5zZuvjVb5QeZSo6QcYSoxtz5i9E4PQClPk2nvP0A3lra1HK8T9FJMf7gOfjRHD/75XMAIS39fftrAxryuhofDbUMjTWj2LaXYGC4Gk21BAdyEbZ3hWiuIqjP+qipImis98mM6U1DnPP9s9vWHO+P8q4Z/w89byw3SxeqdwAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxNzoyNTowMCswMDowMB3ZsDIAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTc6MjU6MDArMDA6MDBshAiOAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 59345395
    {'hecke_orbit_code': 58548375737336592, 'n': 1, 'trace_an': 40}
  • id: 59345396
    {'hecke_orbit_code': 58548375737336592, 'n': 2, 'trace_an': 0}
  • id: 59345397
    {'hecke_orbit_code': 58548375737336592, 'n': 3, 'trace_an': 0}
  • id: 59345398
    {'hecke_orbit_code': 58548375737336592, 'n': 4, 'trace_an': 8}
  • id: 59345399
    {'hecke_orbit_code': 58548375737336592, 'n': 5, 'trace_an': 0}
  • id: 59345400
    {'hecke_orbit_code': 58548375737336592, 'n': 6, 'trace_an': 0}
  • id: 59345401
    {'hecke_orbit_code': 58548375737336592, 'n': 7, 'trace_an': 0}
  • id: 59345402
    {'hecke_orbit_code': 58548375737336592, 'n': 8, 'trace_an': 0}
  • id: 59345403
    {'hecke_orbit_code': 58548375737336592, 'n': 9, 'trace_an': 0}
  • id: 59345404
    {'hecke_orbit_code': 58548375737336592, 'n': 10, 'trace_an': 0}
  • id: 59345405
    {'hecke_orbit_code': 58548375737336592, 'n': 11, 'trace_an': -4}
  • id: 59345406
    {'hecke_orbit_code': 58548375737336592, 'n': 12, 'trace_an': 0}
  • id: 59345407
    {'hecke_orbit_code': 58548375737336592, 'n': 13, 'trace_an': 0}
  • id: 59345408
    {'hecke_orbit_code': 58548375737336592, 'n': 14, 'trace_an': 0}
  • id: 59345409
    {'hecke_orbit_code': 58548375737336592, 'n': 15, 'trace_an': -32}
  • id: 59345410
    {'hecke_orbit_code': 58548375737336592, 'n': 16, 'trace_an': 0}
  • id: 59345411
    {'hecke_orbit_code': 58548375737336592, 'n': 17, 'trace_an': 0}
  • id: 59345412
    {'hecke_orbit_code': 58548375737336592, 'n': 18, 'trace_an': -16}
  • id: 59345413
    {'hecke_orbit_code': 58548375737336592, 'n': 19, 'trace_an': 0}
  • id: 59345414
    {'hecke_orbit_code': 58548375737336592, 'n': 20, 'trace_an': 0}
  • id: 59345415
    {'hecke_orbit_code': 58548375737336592, 'n': 21, 'trace_an': 0}
  • id: 59345416
    {'hecke_orbit_code': 58548375737336592, 'n': 22, 'trace_an': 0}
  • id: 59345417
    {'hecke_orbit_code': 58548375737336592, 'n': 23, 'trace_an': 0}
  • id: 59345418
    {'hecke_orbit_code': 58548375737336592, 'n': 24, 'trace_an': 0}
  • id: 59345419
    {'hecke_orbit_code': 58548375737336592, 'n': 25, 'trace_an': 0}
  • id: 59345420
    {'hecke_orbit_code': 58548375737336592, 'n': 26, 'trace_an': 0}
  • id: 59345421
    {'hecke_orbit_code': 58548375737336592, 'n': 27, 'trace_an': 0}
  • id: 59345422
    {'hecke_orbit_code': 58548375737336592, 'n': 28, 'trace_an': 0}
  • id: 59345423
    {'hecke_orbit_code': 58548375737336592, 'n': 29, 'trace_an': -8}
  • id: 59345424
    {'hecke_orbit_code': 58548375737336592, 'n': 30, 'trace_an': -8}
  • id: 59345425
    {'hecke_orbit_code': 58548375737336592, 'n': 31, 'trace_an': 0}
  • id: 59345426
    {'hecke_orbit_code': 58548375737336592, 'n': 32, 'trace_an': 40}
  • id: 59345427
    {'hecke_orbit_code': 58548375737336592, 'n': 33, 'trace_an': 0}
  • id: 59345428
    {'hecke_orbit_code': 58548375737336592, 'n': 34, 'trace_an': 0}
  • id: 59345429
    {'hecke_orbit_code': 58548375737336592, 'n': 35, 'trace_an': 0}
  • id: 59345430
    {'hecke_orbit_code': 58548375737336592, 'n': 36, 'trace_an': 80}
  • id: 59345431
    {'hecke_orbit_code': 58548375737336592, 'n': 37, 'trace_an': 20}
  • id: 59345432
    {'hecke_orbit_code': 58548375737336592, 'n': 38, 'trace_an': 0}
  • id: 59345433
    {'hecke_orbit_code': 58548375737336592, 'n': 39, 'trace_an': 0}
  • id: 59345434
    {'hecke_orbit_code': 58548375737336592, 'n': 40, 'trace_an': 0}
  • id: 59345435
    {'hecke_orbit_code': 58548375737336592, 'n': 41, 'trace_an': 0}
  • id: 59345436
    {'hecke_orbit_code': 58548375737336592, 'n': 42, 'trace_an': 0}
  • id: 59345437
    {'hecke_orbit_code': 58548375737336592, 'n': 43, 'trace_an': 120}
  • id: 59345438
    {'hecke_orbit_code': 58548375737336592, 'n': 44, 'trace_an': -56}
  • id: 59345439
    {'hecke_orbit_code': 58548375737336592, 'n': 45, 'trace_an': 0}
  • id: 59345440
    {'hecke_orbit_code': 58548375737336592, 'n': 46, 'trace_an': 64}
  • id: 59345441
    {'hecke_orbit_code': 58548375737336592, 'n': 47, 'trace_an': 0}
  • id: 59345442
    {'hecke_orbit_code': 58548375737336592, 'n': 48, 'trace_an': 0}
  • id: 59345443
    {'hecke_orbit_code': 58548375737336592, 'n': 49, 'trace_an': 0}
  • id: 59345444
    {'hecke_orbit_code': 58548375737336592, 'n': 50, 'trace_an': -112}
  • id: 59345445
    {'hecke_orbit_code': 58548375737336592, 'n': 51, 'trace_an': 16}
  • id: 59345446
    {'hecke_orbit_code': 58548375737336592, 'n': 52, 'trace_an': 0}
  • id: 59345447
    {'hecke_orbit_code': 58548375737336592, 'n': 53, 'trace_an': -28}
  • id: 59345448
    {'hecke_orbit_code': 58548375737336592, 'n': 54, 'trace_an': 0}
  • id: 59345449
    {'hecke_orbit_code': 58548375737336592, 'n': 55, 'trace_an': 0}
  • id: 59345450
    {'hecke_orbit_code': 58548375737336592, 'n': 56, 'trace_an': 0}
  • id: 59345451
    {'hecke_orbit_code': 58548375737336592, 'n': 57, 'trace_an': 0}
  • id: 59345452
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  • id: 59345453
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  • id: 59345454
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  • id: 59345455
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  • id: 59345456
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  • id: 59345457
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  • id: 59345458
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  • id: 59345459
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  • id: 59345460
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  • id: 59345461
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  • id: 59345462
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  • id: 59345463
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  • id: 59345464
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  • id: 59345465
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  • id: 59345466
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  • id: 59345467
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  • id: 59345468
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  • id: 59345469
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  • id: 59345470
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  • id: 59345471
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  • id: 59345472
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  • id: 59345473
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  • id: 59345474
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  • id: 59345475
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  • id: 59345476
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  • id: 59345477
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  • id: 59345478
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  • id: 59345479
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  • id: 59345480
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  • id: 59345481
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  • id: 59345482
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  • id: 59345483
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  • id: 59345484
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  • id: 59345485
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  • id: 59345486
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  • id: 59345487
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  • id: 59345488
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  • id: 59345489
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  • id: 59345490
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  • id: 59345491
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  • id: 59345492
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  • id: 59345493
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  • id: 59345494
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  • id: 59345495
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  • id: 59345496
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  • id: 59345497
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  • id: 59345498
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  • id: 59345499
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  • id: 59345500
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  • id: 59345501
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  • id: 59345502
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  • id: 59345503
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  • id: 59345504
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  • id: 59345505
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  • id: 59345507
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  • id: 59345510
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  • id: 59345511
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  • id: 59345512
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  • id: 59345513
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  • id: 59345514
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  • id: 59345515
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  • id: 59345516
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  • id: 59345517
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  • id: 59345518
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  • id: 59345519
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  • id: 59345520
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  • id: 59345521
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  • id: 59345522
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  • id: 59345523
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  • id: 59345524
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  • id: 59345525
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  • id: 59345526
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  • id: 59345527
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  • id: 59345528
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  • id: 59345529
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  • id: 59345530
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  • id: 59345531
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  • id: 59345532
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  • id: 59345533
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  • id: 59345534
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  • id: 59345535
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  • id: 59345536
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  • id: 59345537
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  • id: 59345538
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  • id: 59345539
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  • id: 59345540
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  • id: 59345541
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  • id: 59345542
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  • id: 59345543
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  • id: 59345544
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  • id: 59345545
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  • id: 59345546
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  • id: 59345547
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  • id: 59345548
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  • id: 59345549
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  • id: 59345550
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  • id: 59345551
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  • id: 59345552
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  • id: 59345553
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  • id: 59345554
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  • id: 59345555
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  • id: 59345556
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  • id: 59345557
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  • id: 59345558
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  • id: 59345559
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  • id: 59345560
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  • id: 59345561
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  • id: 59345562
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  • id: 59345563
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  • id: 59345564
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  • id: 59345565
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  • id: 59345566
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  • id: 59345567
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  • id: 59345568
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  • id: 59345569
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  • id: 59345570
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  • id: 59345571
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  • id: 59345572
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  • id: 59345573
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  • id: 59345574
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  • id: 59345575
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  • id: 59345576
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  • id: 59345577
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  • id: 59345578
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  • id: 59345579
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  • id: 59345580
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  • id: 59345581
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  • id: 59345582
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  • id: 59345583
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  • id: 59345584
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  • id: 59345586
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  • id: 59345587
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  • id: 59345588
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  • id: 59345589
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  • id: 59345590
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  • id: 59345591
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  • id: 59345592
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  • id: 59345593
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  • id: 59345594
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  • id: 59345595
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  • id: 59345596
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  • id: 59345597
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  • id: 59345598
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  • id: 59345600
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  • id: 59345604
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  • id: 59345605
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  • id: 59345607
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  • id: 59345612
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  • id: 59345613
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  • id: 59345614
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  • id: 59345615
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  • id: 59345616
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  • id: 59345627
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  • id: 59345630
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  • id: 59345632
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  • id: 59345633
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  • id: 59345637
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  • id: 59345638
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  • id: 59345639
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  • id: 59345640
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    {'hecke_orbit_code': 58548375737336592, 'n': 947, 'trace_an': 428}
  • id: 59345645
    {'hecke_orbit_code': 58548375737336592, 'n': 953, 'trace_an': 0}
  • id: 59345646
    {'hecke_orbit_code': 58548375737336592, 'n': 961, 'trace_an': -404}
  • id: 59345647
    {'hecke_orbit_code': 58548375737336592, 'n': 967, 'trace_an': 0}
  • id: 59345648
    {'hecke_orbit_code': 58548375737336592, 'n': 971, 'trace_an': 0}
  • id: 59345649
    {'hecke_orbit_code': 58548375737336592, 'n': 977, 'trace_an': 184}
  • id: 59345650
    {'hecke_orbit_code': 58548375737336592, 'n': 983, 'trace_an': 0}
  • id: 59345651
    {'hecke_orbit_code': 58548375737336592, 'n': 991, 'trace_an': -328}
  • id: 59345652
    {'hecke_orbit_code': 58548375737336592, 'n': 997, 'trace_an': 0}