Embedded newform data - 637.2.bc.b.619.6

Formats: - HTML - YAML - JSON - 2026-04-16T13:27:19.830079

• 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': 2548, 'analytic_conductor': 5.086470608755561, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 91, 'char_degree': 4, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 29, 'char_orbit_label': 'bc', 'char_order': 12, 'char_parity': 1, 'char_values': [637, 12, [248, 197], [2, 9]], 'cm_discs': [], 'conrey_index': 31, 'dim': 32, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [50625, -60750, 36450, -122040, -99801, 262998, -96642, 377184, 299377, -741310, 257378, -1040606, 317018, 711182, 59768, 303750, 1122, -125870, -11952, -49422, -1650, 17542, 2866, 4354, 1641, -516, -90, -118, -37, 12, 2, 2, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505523806274173, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 4, -1, 6, 0], [1, 1, 13, 4, -1, 4, 0], [1, 1, 91, 28, 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': False, 'label': '637.2.bc.b', 'level': 637, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [7, 13], 'level_radical': 91, 'minimal_twist': '91.2.bb.a', 'prim_orbit_index': 28, 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '637.2.bc', 'trace_display': [-2, 12, 6, 0], 'traces': [32, -2, 12, 0, 6, 0, 0, -16, 8, 0, -10, 0, 0, 0, -44, 12, 0, -4, -12, 0, 0, -8, 0, 12, 0, -24, 0, 0, 16, 0, -24, 4, -48, 0, 0, 0, -8, 0, -6, 132, 0, 0, 0, -42, 24, 12, -30, 0, 0, 88, 0, -36, -12, -78, 0, 0, 40, 26, 54, 16, 48, 0, 0, 0, -8, -12, 16, 48, 0, 0, -36, 22, -66, 12, 0, 0, 0, -176, -32, -138, 16, 0, 0, 0, -84, 42, 24, 0, 60, 0, 0, 48, 6, 72, 0, 42, 0, 0, -24, -12, 0, -36, 0, 0, 0, -188, 20, 0, -20, -90, 0, 0, 120, 0, 66, 0, -90, 0, 0, 288, 0, 78, 32, -174, 0, 0, 0, -80, 0, 28, 24, 0, 0, 0, -42, 30, -2, -6, 0, 0, 128, 0, -66, 72, -60, 0, 0, 84, 46, -66, -44, 96, 0, 0, 0, 6, -24, -22, 204, 0, 0, 12, 64, 66, -92, 0, 0, 0, -120, 40, -18, -72, 0, 0, 0, -196, -8, 36, 0, 204, 0, 0, 120, 12, 168, 0, -36, 0, 0, -124, -4, 0, -4, 0, 0, 0, -196, -104, 0, -22, 48, 0, 0, 144, 0, -24, 0, -282, 0, 0, 200, 0, -18, -10, -96, 0, 0, 0, 6, 0, 36, 144, 0, 0, 0, 38, 84, 22, -84, 0, 0, 208, 0, -102, -20, -318, 0, 0, 64, -6, -96, 134, -48, 0, 0, 0, 24, 144, 112, 264, 0, 0, -96, -36, -210, 12, 0, 0, 0, -348, -16, -198, 20, 0, 0, 0, -204, 4, -48, 0, 36, 0, 0, 80, 8, 108, 0, 216, 0, 0, -100, 0, 0, -112, 0, 0, 0, -384, 40, 0, -92, 108, 0, 0, 176, 0, 90, 0, 6, 0, 0, 536, 0, 120, 34, -90, 0, 0, 0, 58, 0, 86, 108, 0, 0, 0, -6, -240, 42, -210, 0, 0, 180, 0, 66, -16, -258, 0, 0, 20, -68, -234, -18, 204, 0, 0, 0, -26, 216, 20, 252, 0, 0, -20, -42, 30, 32, 0, 0, 0, -180, -4, -72, -280, 0, 0, 0, -160, -4, 132, 0, 138, 0, 0, 48, 84, 60, 0, -54, 0, 0, -248, -76, 0, 22, 0, 0, 0, -236, -24, 0, 94, -36, 0, 0, 16, 0, 270, 0, -324, 0, 0, 224, 0, -138, -2, 102, 0, 0, 0, -28, 0, 58, -312, 0, 0, 0, 100, -78, -24, 6, 0, 0, 228, 0, -132, -12, -174, 0, 0, 144, -58, 96, -44, 96, 0, 0, 0, 114, -12, 40, 156, 0, 0, -72, -62, -60, 20, 0, 0, 0, -156, 72, -12, 116, 0, 0, 0, -8, 16, -84, 0, 108, 0, 0, 72, 64, -84, 0, 48, 0, 0, -44, -44, 0, 70, 0, 0, 0, -252, -96, 0, -46, -66, 0, 0, 128, 0, -138, 0, -174, 0, 0, 312, 0, 306, -38, 156, 0, 0, 0, 20, 0, -62, -48, 0, 0, 0, -8, -12, 38, 66, 0, 0, 60, 0, -72, -36, -36, 0, 0, 204, 46, -162, -98, 60, 0, 0, 0, 174, 36, -18, 252, 0, 0, 104, 56, -12, -200, 0, 0, 0, -124, 48, 102, -112, 0, 0, 0, 64, -110, 588, 0, 90, 0, 0, 32, -16, 384, 0, 180, 0, 0, -44, 32, 0, -166, 0, 0, 0, -208, -232, 0, 82, -72, 0, 0, 376, 0, 198, 0, 222, 0, 0, -24, 0, 72, -24, -42, 0, 0, 0, -10, 0, 92, 0, 0, 0, 0, -6, -96, 60, -330, 0, 0, 272, 0, -180, -8, -210, 0, 0, 4, -136, -192, 162, -192, 0, 0, 0, -94, -12, 166, -108, 0, 0, -132, 62, -312, 172, 0, 0, 0, -184, -228, -342, 136, 0, 0, 0, -148, 166, -396, 0, 120, 0, 0, -368, 94, -132, 0, -30, 0, 0, -72, 52, 0, 176, 0, 0, 0, -232, 92, 0, -54, -18, 0, 0, -256, 0, 120, 0, -18, 0, 0, 168, 0, -120, 70, -210, 0, 0, 0, -102, 0, -80, -240, 0, 0, 0, 10, 60, 36, 24, 0, 0, 60, 0, -36, -216, -54, 0, 0, -72, 80, 78, -110, 264, 0, 0, 0, 22, 0, 16, 252, 0, 0, -148, -42, 540, -172, 0, 0, 0, 68, 208, -6, -252, 0, 0, 0, 52, -150, -168, 0, 132, 0, 0, 176, 38, 120, 0, -204, 0, 0, -84, 0, 0, 60, 0, 0, 0, -40, -88, 0, 196, 246, 0, 0, 88, 0, -354, 0, -108, 0, 0, 8, 0, -126, -130, 90, 0, 0, 0, 36, 0, 62, 396, 0, 0, 0, 98, 384, -50, 54, 0, 0, -208, 0, 6, 116, -108, 0, 0, 364, -110, 240, 166, -24, 0, 0, 0, 84, 216, 2, -36, 0, 0, 240, -112, -186, 168, 0, 0, 0, 224, -44, 66, 172, 0, 0, 0, 40, 28, 240, 0, -126, 0, 0, 424, -70, -636, 0, 444, 0, 0, 4, -132, 0, -104, 0, 0, 0, 56, 120, 0, -102, -336, 0, 0, -272, 0, -24, 0, 234, 0, 0, -24, 0, 162, 66, -294, 0, 0, 0, 134, 0, 8, 156, 0, 0, 0, -240, -312, 26, 36, 0, 0, 180, 0, 168, -124, 318, 0, 0, -136, 164, 18, -268, 132, 0, 0, 0, -120, -432, -78, -120, 0, 0, 124, 214, 186, -60, 0, 0, 0, -300, -324, 270, -44, 0, 0, 0, -104, 164, 72, 0, 126, 0, 0, -56, -84, 348, 0, -198, 0, 0, 4, 20, 0, 6, 0, 0, 0, 60, 168, 0, -6, -336, 0, 0, -528, 0, 330, 0, -132, 0, 0, -96, 0, -300, -96, -96, 0, 0, 0, -166, 0, 32, -480, 0, 0, 0, 152, 30, -46, -6, 0, 0, -124, 0, -192, 16, 234, 0, 0, -236, 222, 168, 364, -552, 0, 0, 0, -148, -240, -18, -504, 0, 0, -36, 76, -120, -152, 0, 0, 0, -48, 144, -84, 144, 0, 0, 0, -156, -144, -288, 0, -102, 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], [0.2994934292766928, -1.1177246945936536], [0.9906781094526536, 0.571968273172759], [-0.29358677494012453, -0.16950240354219495], [1.240008006253267, 0.3322591438836895], [0.9360046477586076, -0.9360046477586076], [0.0, 0.0], [0.5408469330677683, -0.5408469330677683], [0.1542954110324558, 0.26724749128293696], [0.7427485002466914, -1.2864781396728542], [0.26976984641782426, 1.0067947731813731], [-0.19389999410532283, -0.3358446413777249], [-0.635889939905804, -0.7717797511768452], [0.0, 0.0], [1.0384070985681277, 1.0384070985681277], [-0.6120402739290327, -1.0600848507234581], [-0.7820404142847026, 1.3545337311133185], [0.3449195823469079, -0.09242092354353411], [-0.6735458597768402, -0.18047606919253056], [-0.3077312279686731, -0.3077312279686731], [0.0, 0.0], [1.206113676791758, 0.0], [-0.6197119965350719, 0.35779088801956416], [0.8451525035123968, -0.22645793079728832], [0.5611983130934416, 0.3240079971332624], [-1.0530821454226447, 0.47960692455012555], [0.0, -0.7909282271186587], [0.0, 0.0], [-0.8177483843289632, 0.0], [1.4716493600463718, -0.8496571541755132], [-0.15593439874942813, -0.5819550987805706], [-0.6293744063832151, 0.16864036392719972], [-0.30859958641936674, 1.151709335711819], [1.2797798354183452, 1.2797798354183452], [0.0, 0.0], [0.0, -0.10461377210212867], [0.6181097812979014, 0.16562201673255056], [-0.40344511863936866, 0.69878744354904], [-0.18852871193552156, -1.1282941756655684], [0.8503558661147734, -0.49095318820834183], [0.47475061081710584, -0.47475061081710584], [0.0, 0.0], [0.0, 0.6846539912434247], [0.09145327474206001, -0.3413082678559235], [0.10253212234965149, 0.3826550900167678], [0.2143120400338649, 0.799823422080119], [0.21557442738441737, -0.804534715811213], [0.0, -1.400270474365485], [0.0, 0.0], [0.530226946934327, -0.530226946934327], [-1.549500638278278, 0.8946046106194608], [0.05587035384414214, 0.3343692013144374], [0.7864251185280428, -1.3621282616389465], [-0.8840400111017028, -0.23687780705150205], [0.0, 1.3380670776152654], [0.0, 0.0], [-0.564040553348323, -0.564040553348323], [-0.24491026790815612, 0.9140175631285442], [-0.3724054038227821, 0.09978572721130059], [-0.12885009208097398, -0.4808750902061232], [0.3885975952898773, -0.22435692624705192], [-0.6971669128753983, 0.0], [0.0, 0.0], [0.0, -0.47010655079129776], [-0.5320777371863203, -1.1682933175607955], [1.1948704171090476, 0.6898587569646291], [-0.8608611704167144, 0.2306670554084697], [0.4591934462053694, -0.26511545977678197], [-0.8185801455099925, 0.0], [0.0, 0.0], [0.986699992873037, 0.986699992873037], [0.22799018587376604, 0.06108978618709717], [-0.5280592252478452, 0.14149304296096446], [0.3702396361407502, -0.6412738607715935], [0.3706445892289527, 0.6419752600950424], [0.16715302923617445, 0.16715302923617445], [0.0, 0.0], [-1.317585373362283, -0.12719349493273457], [-0.061195749511764395, -0.10599414736163425], [-0.4067119548759984, -1.5178696796428868], [0.6066812633011068, -1.0508027720375888], [-0.3884557929988806, -0.6728251699685198], [-0.22091278217810828, 0.22091278217810828], [0.0, 0.0], [-1.4197925927879438, 1.4197925927879438], [0.765254673264883, 0.20504937170546805], [-0.8101254233949792, -0.4677261312744508], [0.6904260593730482, 0.39861767123456193], [-0.13612770962853227, 0.5080355286516655], [0.4584107405572134, 0.0], [0.0, 0.0], [0.24258566193924982, 0.0], [0.17837905756188568, -0.6657197058272107], [-0.8346851949983616, -0.4819057220208994], [-0.7752374344606185, -0.447583541471713], [-0.7199643847962757, -0.19291387548533215], [0.32573911841362985, -0.32573911841362985], [0.0, 0.0], [-0.22743912803229482, 0.22743912803229482], [-0.10984026856196118, -0.19024892586632722], [0.4547685215360616, -0.7876821849834399], [0.5358564053623256, 1.9998433303734227], [0.2524214185426245, 0.4372067218344344], [-0.7613338351945037, -0.07349558766110048], [0.0, 0.0], [-1.2869552396204829, -1.2869552396204829], [0.6068040289592969, 1.0510154083949985], [-0.13406423552597974, 0.23220606740887736], [-1.8065932250328447, 0.48407519569908825], [1.4955906156733452, 0.40074229767723846], [0.5176172906604913, 0.5176172906604913], [0.0, 0.0], [2.1728365053124356e-05, 0.0], [-0.7993684948031026, 0.4615156156562772], [-0.8873271314174515, 0.23775858828553081], [0.24008011086763775, 0.13861031663650586], [0.10814130267581153, -0.28902206510624145], [0.0, 0.4461318858882264], [0.0, 0.0], [1.1232385890727432, 0.0], [-0.07483454148459726, 0.04320574267081444], [-0.13438685044741525, -0.501538553738914], [0.7418673246425556, -0.1987827505290103], [-0.052862510765870216, 0.1972855759938844], [-0.31951308077684903, -0.31951308077684903], [0.0, 0.0], [0.0, -1.108195210318063], [-1.1548241072928944, -0.3094341869491232], [-0.3916003610923389, 0.6782717216742495], [-1.4651840777181606, 0.24482025421933537], [1.0280451620546978, -0.5935421510513722], [0.28581825790985615, -0.28581825790985615], [0.0, 0.0], [0.0, 1.031289056236997], [0.26279313561588985, -0.9807573339988392], [0.3096312546085511, 1.1555595738104079], [0.02989096861913102, 0.1115546135740439], [-0.24515937491660184, 0.914947243140585], [0.0, 1.5962065200883897], [0.0, 0.0], [0.6737331982776089, -0.6737331982776089], [1.3983691127224098, -0.8073487836567415], [0.60547988810504, -0.848413572759145], [0.18887001126859393, -0.32713245554331105], [-1.0140145436685881, -0.27170437808941156], [0.0, 0.6326010729226829], [0.0, 0.0], [-0.1533955273345236, -0.1533955273345236], [-0.45225313048853144, 1.6878316608652766], [0.8285572205974427, -0.2220112381420604], [0.3553475650084186, 1.3261751669573025], [-0.46189514105570373, 0.2666752840258907], [-0.4826609886642009, 0.0], [0.0, 0.0], [0.0, -0.7734396115983213], [-0.13589903815720789, 0.3632083180271656], [0.7552273444269284, 0.4360307106042533], [-0.1368000008669332, 0.036655449756871634], [1.5581882992988807, -0.8996204340483339], [-0.8364616057887693, 0.0], [0.0, 0.0], [-0.992811155429914, 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0.3243337088795014], [0.5569934443412887, 0.1492459436006778], [0.0, -0.7213390058720819], [0.0, 0.0], [-1.0200755758176911, -1.0200755758176911], [-0.017106338835051905, 0.0638417256639023], [1.2051144632400201, -0.32290944721222936], [-0.1771140134020391, -0.660998496748845], [-0.664950199420655, 0.3839091766332105], [-0.2024135024596182, 0.0], [0.0, 0.0], [0.0, 0.028855409782619402], [0.2597743409266321, -0.6942815984130144], [-0.47567475733875986, -0.2746309491962429], [1.3653653291236538, -0.3658485373121371], [0.7788524635048363, -0.4496706794635204], [-0.5482106661566317, 0.0], [0.0, 0.0], [-0.4081169258677708, -0.4081169258677708], [-0.15253866491548038, -0.0408726120786246], [0.12444099268146894, -0.03334386349432685], [0.2937256263057261, -0.5087477082465072], [-0.7075481073420373, -1.2255092707156066], [-1.046537892710138, -1.046537892710138], [0.0, 0.0], [0.022714393596286575, -0.2352962530284147], [-0.24496295951312386, -0.42428829184916833], [0.12366539507640055, 0.4615255375632049], [0.4894626927086655, -0.8477742521808812], [0.1962822392952898, 0.3399708110828343], [0.6588460829665181, -0.6588460829665181], [0.0, 0.0], [1.298137651325434, -1.298137651325434], [0.1170273612684879, 0.03135738694423658], [-1.1069052601988218, -0.6390720499432025], [1.720404953975007, 0.993276263292636], [0.13099512806609304, -0.48888047348665103], [-0.34561533962638585, 0.0]], 'angles': [-0.3601374727011107, -0.06975668392095109, -0.09741165514594433, None, 0.045582722977584006, None, 0.22624382032097906, -0.2650137451007526, -0.3915683020220267, -0.31703925809213623, -0.4929660462172874, -0.1564990707478059, -0.3205136881705593, 0.05560752995873589, -0.38996901233009684, -0.27263145255379395, -0.3225404275236922, -0.29731926109687473, -0.3651740640591518, -0.0021029301562934424, -0.3357314610462657, -0.0930790286388431, -0.39996365761293035, 0.08401908859909364, -0.3380093368129638, -0.3415276625343651, -0.042719873197486546, 0.020441029101089477, -0.4840395741688862, -0.24999827091164822, -0.4065317151742407, -0.2321978472625238, -0.03247116246770526, 0.14708154680712812, 0.2108051071397585, 0.07875560036161053, -0.09485861737831737, -0.15316976558169235, -0.05287260442085311, -0.10320933890196071, -0.18006578551664304, -0.15199184055098808, -0.06962415853571988, -0.4963419465263408, -0.21790671829954525, -0.2898728826398049, -0.23700503285744265, -0.4507668421601401, 0.029551186991741266, 0.12540112495985473, -0.37410184088619414, -0.10961826938556549, -0.4535146373295339, -0.2857685687665224, -0.15006763664876702, 0.20422174000832544, -0.1818973306567051, -0.3786176368481693, -0.4934838950169447, -0.2487241769887019, -0.4614089214373215, -0.13870740170278886, -0.10013217901224909, -0.3513349393547728, -0.35456622969763296, -0.30465872055954385, -0.3915762490255955, 0.04174122982668451, -0.22069423695446552, -0.08451918506816081, -0.48826359366275607, -0.19028737389541442, -0.05497761350710979, -0.05049415077642242, -0.10573835768931006, -0.1711690033444734, -0.07511112322888842, -0.4051310187679621, -0.11944396922375441, -0.007896544197761111, -0.46714658649572566, 0.00017946934821726934, -0.33039423813106933, -0.48316267595125634, -0.08279182221925462, -0.477982653920785, -0.36827179005335214, -0.47572360077702447, -0.39396112713430637, -0.3959934650403048, 0.10544392650674093, -0.33507328997523855, -0.293651104814767, -0.48913141932235155, 0.2059306677895817, -0.3960330800005933, -0.14274404446520358, -0.20747657422946955, -0.29946774729606007, -0.32192171506976097, -0.07972644800162983, -0.028326168582263413, -0.3088042013137364, -0.3735533143319123, -0.20526136255743807, -0.05442633072932758, -0.23124911780373478, -0.4919462379167321, -0.34009898080457746, 0.0261818348305895, -0.3442239118161558, -0.17751166470472832, -0.4994975674650589, -0.34348715931537716, 0.3005709053781735, -0.179626938200184, -0.40577999391371383, -0.37622431739564344, -0.12833160537412092, -0.19142740090337054, -0.18188205920755784, -0.3794969807511555, -0.4225268631272723, -0.04658634861725651, -0.12373395942214602, -0.48276463078116877, -0.17219223987379326, -0.0374767376015459, -0.1911339802830363, -0.30067375144527003, -0.044126448974676144, -0.025352822766790854, -0.3774134279769786, -0.2623728194066882, -0.43562255899160973, -0.35324283489782293, 0.05067467695917662, -0.08332332568548055, -0.16714431835648488, -0.38061752728579745, -0.46073605098286374, -0.4547911588303602, -0.10379535695654395, -0.33825493822373304, 0.17370254775151617, -0.03401944259795328, -0.1844579107162031, -0.3053762749057683, -0.35869706782085753, -0.39433388237021316, -0.4868994411291926, -0.3020464469872874, -0.48853936124750486, -0.3511326508521386, -0.20587427628928517, -0.20239834871311832, -0.1432403680907843, -0.33277158161711196, -0.3366309263496011, -0.08253182094170478, -0.3300124248146969, -0.40110278640717845, -0.49677191561180606, -0.3960445480462432, -0.1667435530698126, -0.281407534560452, -0.33526313321278745, -0.27700738709360007], 'char_orbit_index': 29, 'conrey_index': 619, 'dual_conrey_index': 460, 'dual_embedding_index': 6, 'dual_embedding_m': 22, 'embedding_index': 6, 'embedding_m': 30, 'hecke_orbit': 2, 'hecke_orbit_code': 4505523806274173, 'label': '637.2.bc.b.619.6', 'level': 637, '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': 2548, 'analytic_conductor': 5.086470608755561, 'char_conductor': 91, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 29, 'char_orbit_label': 'bc', 'char_order': 12, 'char_parity': 1, 'char_values': [637, 12, [248, 197], [2, 9]], 'conrey_index': 31, 'cusp_dim': 232, 'dim': 168, 'eis_dim': 64, 'eis_new_dim': 32, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 1924178903677, 'hecke_orbit_dims': [24, 32, 112], 'label': '637.2.bc', 'level': 637, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [7, 13], 'level_radical': 91, 'mf_dim': 296, 'mf_new_dim': 200, 'num_forms': 3, 'prim_orbit_index': 28, 'relative_dim': 42, 'sturm_bound': 130, 'trace_bound': 1, 'trace_display': [2, 12, 6, 0], 'traces': [168, 2, 12, 0, 6, 0, 0, -8, 68, 0, 14, 0, 0, 0, 44, 52, 0, 36, -12, 0, 0, -40, 0, 12, 0, -24, 0, 0, -88, 0, -24, 20, -48, 0, 0, 0, -20, 0, -14, 132, 0, 0, 0, 10, 24, -44, -30, 0, 0, -48, 0, -36, 16, -78, 0, 0, -168, -2, 54, 36, 48, 0, 0, 0, 0, -12, -44, 48, 0, 0, 28, -158, -66, -148, 0, 0, 0, 232, 52, -138, -44, 0, 0, 0, -12, -58, 24, 0, 60, 0, 0, -160, -30, 72, 0, 42, 0, 0, 0, -60, 0, 0, 0, 0, 0, 276, -4, 0, 52, -90, 0, 0, -16, 0, 66, 0, -90, 0, 0, -544, 0, 78, -40, -174, 0, 0, 0, 88, 0, -16, 24, 0, 0, 0, 18, 30, 26, -6, 0, 0, -240, 0, -66, 216, -60, 0, 0, 124, -126, -66, -64, 96, 0, 0, 0, -150, -24, 118, 204, 0, 0, 124, 40, 66, 140, 0, 0, 0, 216, 232, -18, 72, 0, 0, 0, 44, -60, 36, 0, 204, 0, 0, 328, -112, 168, 0, -36, 0, 0, 236, 12, 0, -40, 0, 0, 0, -52, 88, 0, -174, 48, 0, 0, -320, 0, -24, 0, -282, 0, 0, -320, 0, -18, 50, -96, 0, 0, 0, 22, 0, 124, 144, 0, 0, 0, -26, 84, 2, -84, 0, 0, -296, 0, -102, 0, -318, 0, 0, -104, 42, -96, -234, -48, 0, 0, 0, -28, 144, -124, 264, 0, 0, 104, 24, -210, 100, 0, 0, 0, 252, -68, -198, -88, 0, 0, 0, 292, 76, -48, 0, 36, 0, 0, -160, -204, 108, 0, 216, 0, 0, 52, -24, 0, -204, 0, 0, 0, 352, 116, 0, -20, 108, 0, 0, -384, 0, 90, 0, 6, 0, 0, 328, 0, 120, -174, -90, 0, 0, 0, 98, 0, 86, 108, 0, 0, 0, 174, -240, -54, -210, 0, 0, -300, 0, 66, -24, -258, 0, 0, -356, 260, -234, 334, 204, 0, 0, 0, -14, 216, 128, 252, 0, 0, 196, 22, 30, -80, 0, 0, 0, 356, -124, -72, -256, 0, 0, 0, 184, -28, 132, 0, 138, 0, 0, -216, -244, 60, 0, -54, 0, 0, -96, 212, 0, 22, 0, 0, 0, 444, 256, 0, -158, -36, 0, 0, -32, 0, 270, 0, -324, 0, 0, -320, 0, -138, 370, 102, 0, 0, 0, 56, 0, 106, -312, 0, 0, 0, 28, -78, 160, 6, 0, 0, 92, 0, -132, 36, -174, 0, 0, 264, 94, 96, 72, 96, 0, 0, 0, -26, -12, -248, 156, 0, 0, 144, -114, -60, -60, 0, 0, 0, 156, -92, -12, 312, 0, 0, 0, 616, 92, -84, 0, 108, 0, 0, -136, 112, -84, 0, 48, 0, 0, -300, -28, 0, 82, 0, 0, 0, 316, 152, 0, 82, -66, 0, 0, -216, 0, -138, 0, -174, 0, 0, -120, 0, 306, -66, 156, 0, 0, 0, 188, 0, -62, -48, 0, 0, 0, -280, -12, -226, 66, 0, 0, -676, 0, -72, -644, -36, 0, 0, 28, -270, -162, 22, 60, 0, 0, 0, -374, 36, 278, 252, 0, 0, -656, 244, -12, 328, 0, 0, 0, 196, 320, 102, 152, 0, 0, 0, 704, -278, 588, 0, 90, 0, 0, -696, -60, 384, 0, 180, 0, 0, 1100, -168, 0, 178, 0, 0, 0, 792, -200, 0, 54, -72, 0, 0, 232, 0, 198, 0, 222, 0, 0, -56, 0, 72, 96, -42, 0, 0, 0, 82, 0, -232, 0, 0, 0, 0, 406, -96, 492, -330, 0, 0, -776, 0, -180, -52, -210, 0, 0, -372, -244, -192, -258, -192, 0, 0, 0, 154, -12, 134, -108, 0, 0, -28, -178, -312, -340, 0, 0, 0, -136, -312, -342, -240, 0, 0, 0, 12, -286, -396, 0, 120, 0, 0, -1312, 26, -132, 0, -30, 0, 0, 0, 204, 0, -20, 0, 0, 0, -488, -300, 0, 202, -18, 0, 0, -232, 0, 120, 0, -18, 0, 0, -1480, 0, -120, 18, -210, 0, 0, 0, -190, 0, -296, -240, 0, 0, 0, -294, 60, -160, 24, 0, 0, 644, 0, -36, -336, -54, 0, 0, -776, 328, 78, 114, 264, 0, 0, 0, -66, 0, -160, 252, 0, 0, 380, -378, 540, -376, 0, 0, 0, 692, -448, -6, 172, 0, 0, 0, -948, -18, -168, 0, 132, 0, 0, 344, 186, 120, 0, -204, 0, 0, -52, 0, 0, -132, 0, 0, 0, 80, 520, 0, 440, 246, 0, 0, 776, 0, -354, 0, -108, 0, 0, 16, 0, -126, -126, 90, 0, 0, 0, -140, 0, -54, 396, 0, 0, 0, -182, 384, 190, 54, 0, 0, 152, 0, 6, 508, -108, 0, 0, 188, -302, 240, -362, -24, 0, 0, 0, -292, 216, -110, -36, 0, 0, -48, 248, -186, -208, 0, 0, 0, 232, 380, 66, -256, 0, 0, 0, -808, 360, 240, 0, -126, 0, 0, 1752, -46, -636, 0, 444, 0, 0, -140, 20, 0, 256, 0, 0, 0, -176, -108, 0, -274, -336, 0, 0, -224, 0, -24, 0, 234, 0, 0, -136, 0, 162, -222, -294, 0, 0, 0, 174, 0, 396, 156, 0, 0, 0, 344, -312, -154, 36, 0, 0, 436, 0, 168, 188, 318, 0, 0, 16, 152, 18, 436, 132, 0, 0, 0, 828, -432, 122, -120, 0, 0, 228, 18, 186, 296, 0, 0, 0, -916, 148, 270, 396, 0, 0, 0, -128, 56, 72, 0, 126, 0, 0, -112, -4, 348, 0, -198, 0, 0, 772, -92, 0, -270, 0, 0, 0, 260, -136, 0, -150, -336, 0, 0, 752, 0, 330, 0, -132, 0, 0, 1136, 0, -300, -220, -96, 0, 0, 0, 322, 0, 232, -480, 0, 0, 0, 436, 30, 58, -6, 0, 0, 724, 0, -192, 248, 234, 0, 0, -44, -54, 168, 280, -552, 0, 0, 0, -160, -240, 458, -504, 0, 0, -140, -136, -120, 216, 0, 0, 0, -296, -148, -84, -664, 0, 0, 0, 244, 156, -288, 0, -102, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 38618778
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 619, 'target_dim': 32, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4505523806274173, 'target_is_minimal': False, 'target_label': '637.2.bc.b.619.6', 'target_level': 637, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 38618779
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 47, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 1855459426395, 'target_is_minimal': True, 'target_label': '91.2.bb.a.47.3', 'target_level': 91, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38618780
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 489, 'target_dim': 32, 'target_embedding_index': 12, 'target_hecke_orbit_code': 549789368957, 'target_is_minimal': False, 'target_label': '637.2.i.a.489.12', 'target_level': 637, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 38618781
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 489, 'target_dim': 32, 'target_embedding_index': 11, 'target_hecke_orbit_code': 549789368957, 'target_is_minimal': False, 'target_label': '637.2.i.a.489.11', 'target_level': 637, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 38618782
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 411, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4505523806274173, 'target_is_minimal': False, 'target_label': '637.2.bc.b.411.3', 'target_level': 637, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 38618783
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 73, 'target_dim': 32, 'target_embedding_index': 6, 'target_hecke_orbit_code': 1855459426395, 'target_is_minimal': True, 'target_label': '91.2.bb.a.73.6', 'target_level': 91, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 38618784
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 31, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4505523806274173, 'target_is_minimal': False, 'target_label': '637.2.bc.b.31.3', 'target_level': 637, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '13.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 38618785
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 775, 'target_dim': 32, 'target_embedding_index': 6, 'target_hecke_orbit_code': 18024225428210483, 'target_is_minimal': False, 'target_label': '819.2.fn.e.775.6', 'target_level': 819, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38618786
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 73, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18024225428210483, 'target_is_minimal': False, 'target_label': '819.2.fn.e.73.3', 'target_level': 819, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 38618787
    {'conductor': 91, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 460, 'target_dim': 32, 'target_embedding_index': 6, 'target_hecke_orbit_code': 4505523806274173, 'target_is_minimal': False, 'target_label': '637.2.bc.b.460.6', 'target_level': 637, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '91.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 38618788
    {'conductor': 91, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 538, 'target_dim': 32, 'target_embedding_index': 11, 'target_hecke_orbit_code': 549789368957, 'target_is_minimal': False, 'target_label': '637.2.i.a.538.11', 'target_level': 637, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '91.18', 'twisting_conrey_index': 18, 'weight': 2}
  • id: 38618789
    {'conductor': 91, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 538, 'target_dim': 32, 'target_embedding_index': 12, 'target_hecke_orbit_code': 549789368957, 'target_is_minimal': False, 'target_label': '637.2.i.a.538.12', 'target_level': 637, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '91.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 38618790
    {'conductor': 91, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 5, 'target_dim': 32, 'target_embedding_index': 6, 'target_hecke_orbit_code': 1855459426395, 'target_is_minimal': True, 'target_label': '91.2.bb.a.5.6', 'target_level': 91, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '91.44', 'twisting_conrey_index': 44, 'weight': 2}
  • id: 38618791
    {'conductor': 91, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 31, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 1855459426395, 'target_is_minimal': True, 'target_label': '91.2.bb.a.31.3', 'target_level': 91, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '91.83', 'twisting_conrey_index': 83, 'weight': 2}
  • id: 38618792
    {'conductor': 273, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 460, 'target_dim': 32, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18024225428210483, 'target_is_minimal': False, 'target_label': '819.2.fn.e.460.3', 'target_level': 819, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '273.44', 'twisting_conrey_index': 44, 'weight': 2}
  • id: 38618793
    {'conductor': 273, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 619, 'source_dim': 32, 'source_embedding_index': 6, 'source_hecke_orbit_code': 4505523806274173, 'source_is_minimal': False, 'source_label': '637.2.bc.b.619.6', 'source_level': 637, 'target_conrey_index': 577, 'target_dim': 32, 'target_embedding_index': 6, 'target_hecke_orbit_code': 18024225428210483, 'target_is_minimal': False, 'target_label': '819.2.fn.e.577.6', 'target_level': 819, 'twist_class_label': '91.2.bb.a.5.6', 'twist_class_level': 91, 'twisting_char_label': '273.83', 'twisting_conrey_index': 83, 'weight': 2}
• hecke_orbit_code 4505523806274173 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': 29, 'hecke_orbit': 2, 'label': '637.2.bc.b', 'level': 637, 'portrait': 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4gSn8WuZDj28LVAWMP6acO6qYSlbkB3KBjFHssDwaYpw2LHcOK8oub5bJqFretDNs6N2DA3ZtPcmK0bLds3Ka7a5lFXTY6eaPOVZ3weOxDz1PGIRPX4tpd2eOuLLXU1x4Hj0xw9ozl9IeFcCu5DC5abr5nn371zmW3rpjhzYZrzyzUWOx5LHclyL6HXTxiMBQePL3D41MpVTxyaf9nBUxd2Hjk9f8dt3/K28P47/uobDYmv6fb3msGXljvEsUVKfvXLjx9+8c//9sfkW2499OJ/85ZTenFlA0vdNkudOosdn8WOZrEDS52EpU7E4krCuRU4vChYv26F//h9i9xyRYOT52c5c6HJmQXN+UXLuYWYU/MJF3ox07MjXnJdnxftAV/WCVTA+aUaZxc055YEgzHEsaHmG5q1hJmpGAMcPxfT7cOOjR7N+hhrBQif/tCwfdOYxRUN1kmRlT6MY7BYljohWzZ49IYKoSzCjGnXPLZvHrEyEBw/o0mMZq4tadUEgQdxLBiMJeeWJGcXLeeXY4JgBF7MbVf3efE1gvXtOovLbU6eDzizAOcXYs4vxZxegsOLlhdevcAvfd8ym6bbnDg3y7nFOvPLPgsdydJKwnI3YrmbsNyzLPThdFewtDzgv/7bcfyOVzW/XFv/gyZo7vmysObnrPQIau1vNFQuevt7y+Dv+7O/5sW33cT/9X/95C9/8KN3/5/v++AXLtt7fGXnwdN9+dJrHdPGicYYicWxN1YCEhAIYdHC4ks4s1jnoUOS63YvsWfbiEYNPC3xPYXva5p1ScOTDPoe+4/VuOsxn+MXxnTjiP0nx2ycW+JNL1nmust6vHBPh2MLMQsDQSMYceSMpdNtcu2lkpVRwt5jilZD8+xxuPwSyyhMGCU+WkfMtGDfyQClEzwZoz0YjiW37BkwHEiuuyyhO0w4fqbFrk2KZiNkZWzZMD1gud/lQ3fDE0cTnjo6Yscli1x/ZZeZ2ZA33tbjO19u2b2pRRJNc/T0FIdPeZw8Zzh1IeLUhYTDFwQnViJecMU8//H7emycnubkuVnOLzaYX/FZ7EiWOwmdXsRKP2Glb1kawPm+YrEbc/Oeef7Fm+ZloO3O82dP7hqOolvrU7vq9cbM5x9/8GP83nv+8hsNmTVvfy8Z/M//4iNcffkW9ZXHD/37YyfO/cLjzxxX55dDFoea0wPDNdvP8xs/Ns8NuxucX5xhsdNgqVNjqeOx1NUs92C5k7DcjVnqxSx04OSyQNdH3H7NEt/18pBdG5qs9NtcWKozv+Sz0BEsdZxEWO4ZukNDd2wZjGLm2hHbNxpAEHiWUxc8hAzYsUGx6xLLJRsGnF8e8+TBFjddbmnUl3nm0CytZkgYeszNGIYjuGr7iA/cPc2V22LGY8u6KUmUDGnVAp49NqLuNbnhipinjoScX/TZMhewazNs3xSiVMSpBfA9ixCWHRtjZlqS3jCgP/DoDjyWuoqlFVjsGJY6CQudhHMdWBwlbN/S57tescDtezQ1r83ZhTYLyzUWVjSLXcFKx7DSi1juOXAv9uFcT3F+JeaWK8/xrh9b5LJLWiyutFnq1hiM23iN3UlQ3/TLwrv8l2x8Krn95d/+jYbOqtvfK4Af2H+Aer1WP3361PZHHn/mHUeOnflPBw6fIowlvRF0hoLzA8WZbsxNl57nv/zYItdfWufC8gyLKw2WuzWWuh7LXc1yFzo9w0ovZrkXs9S1nO8IzvQtiD5vfWmHN95iuHRzjTBssNypsdL36fQUy31BbyAYjS1hbEkSUNISeFAPLNNty4bZCO2NOHw25OlDASZu8vpbQ7S3wqN7p9i5GT7zUMxLrw240BlS04o4iZidgTjy0F7M4mKDl9zY5TMPtNi1GR45OMajwetuMcRiyNOHE46eqqGlz8YZzUxTUA8Evi9QAmIDYWQZhdAbWFb6ht7AsDIwLPYtwyRhx9YBb3xRh7e+OATTYnFligtLdae3u5rlDqz0Ejr9mJVewdxnu4r5bsILrzjPu3/sAlfvqDO/NMNyr0G379MdaLp9Qa25lVpz0/+9fvOev9q6dcuJ0Wg0vOKKK7/RUMpvf28AfuL4QTasX+cfPHj4B/YfOPS7Dz3yhFhc6slhaBmMDIORpVsC+dlexC2XXeBdP7zIjZfVWFiZZnGlyXI3YKXns9zTrPQEnZ6l009Y6cV0+oblvuVCT3C2Y5iZHvAtL+xx256YHRsV7bpHt1cj8CSgCGOJMQJjYTAChGGmNeLgaYuxIXc+0mQ8qHPZFp/brxsQmRXufWyaGy73OHiuT2e5zYuuG/D5RwM2zlr2Hrf8y7d02XssYOOs5K7HFLdfpVgadDlycpYbrgi59+kh8bjBbVf77N42Yhj3+dyjChLB4VOadkOjBQyGEmMFibFEMSAN2jd0+pZmK2Lb5jEvvmrAt9wUM9escX5pisWVOstdd2yWu4JOHzq9mE4/ptNP6AwsSwPJuZ5goRdz65Xz/PIPz3P9rhrzy1Os9Bp0BwHdvk9vqOgPFf2hIDI1s3P3tXbnzt0/funuy/54cWE+3LPn7wfI/14API4jGY6Hb3ri4c9c1u0n737woUe9wQhGoWUwjBmODf2RoT+y9IbQGUouDCVnOjG3XXWBX/3heW7a7bPSnWJ+uUWnX2Ol57PS13R6is4Aen1LdxDT7Sf0h4bOwDLfF8z3IUrGXH/5kE2zCf2B5Q0vGrNzkyFOJFpawgjuebLGiQs1Ns/EPHO4BqbBnq2KG680BLUBjx4cML/Q5JqdTdrTyzzwlMfNl9dYHKywvNxm0ybLQ3sV/+RVfR7eq9m6wWOh32F5aZYbrxrwwDMJs/Vprrmsz4VOh4eem6aum7zwSssV20cg+zx5VLBhNuL8fMS9T3qMIoWUkBjLzs0h3/KikF5fccmM4cbLIQwbLHUaLHUCVvoe3YGi05d0+9AdJHT7Cb1BQndgWBlYloaS011BZzjm9ivm+aUfWuaFl7uLo9Or0x0E9AYe3YF24B5J+iNBr5/Q60e84MYXRonVP/1db/tHh1rN+ic9zzPfaGx9wzOZ4/GAKBp+38mjj/zGhbMHZs9fWKHVkAjpAkWLJbsOBc4CFMIgpUVKzcMHNvJz79W85fYlvvtVS+zaEnJusU3g16kHPo3Ao1nX9OqS1tBjqqkZjBL6w4SNY8NwbOmNApbma5w6aQljw+lzMUHg/q6vLFoKBkOFwCMeaF6wU7D7Esv2LQPGSY/PPqzYd2iG194UcONVy/zpZy2+aLBzy4CnHlBsmVasaw+oqTph5HGhB82aZutGwRP7Qm68os7Lb1jgTz41xPdavOZWixcM+MJDIZ95sMlzR+tcekmDnZsT1s+E7FoXce3OBKUMWlnA0ggC1k8HhJFHb+DzzEGP/kgzyIA4hP7I0h+4794bJvSHlu7QsjKE+YHi/LKlMdXhX71+nm+/fcz1lzY5u9Cm06/TG/h0B17K2u53DkaC4dAyDi1RAvd+6WGvPTX3G5s3Pbz0ipfd8m97vcGftFqN/30BHo37IPih08cf+NUje78wO+z38T2PulGpKyIAjSBBCNK766RR0qJkgi8lTx1cz+MHmhw8c4G3vLjPi68eMd1qs9Rp0OzWaA99+gPtltWRZDjSDMaa0dgyCg1hZIkiS5y4exj7WANSCTwtqPmC6ZZgpgWb1hm2bhywbqbDHY/CfY97SDPFa2/yeMGeHvc/FxGO2tz+AkFnOOTCYpPbrjCsmx5Q1wGjWDHfjVBG8IIrNI3WmMf213jZjVO86Poej+1XYKe46WqfH/y2JT7/RMhdDzfZe6LG9vWKTbN1ZloNplpQD8DTFiXBWNh7VJAkgigWhDGMI9x3HCcMx4bR2Di5Nzb0h9Adw3xfcqEHYzPi1Tcs8aYXd/jHrzHEcZtzC026/Rq9oU9/6MDdGyoGI+HAPbIMxobROGEcOqAvHD/LB/7qs7ODUfyf3/ytL9fd3uC97W8gyL9hAB+PlkCYHzx34r5fPXPk8xuE7dGo+0hpHLAtFJafQgiBlKTgBqUsWlk8Zah7goVBnQ/evZUvPN7lpdeu8M5Xr3Dtrj5z0w0WVxr0hgGDoZcCW7l7KBhHkigWxLFb6l3tlgsqtYaaD426YbYVsWXDgJg+B09HfOjeGkdONpkO6tx8tea267o8dKDDnV9pc+vlNbZvHvCBuwVKBLRbESv9McaCErC+PaDb8zFxnTe99AIf/EyD3edrvPHWAWG0yL1PzxElNW65egNvvLnL5ds6fOGxAU+dbPDkUZ+ts5LZtqARCHzPXYQyvfiNBWMsUZxerJFlHLkLeRTCMITeSLA8Fiz1QOgRN1y5wju/ZYWXXp0w166z3G3Q6dXpDQL6I88Vq2WsPZYMRzBIL5zRyF08w9AyjsGgOXOhw/v/6q4NYcyvfvsbX2LPXVj+o00bZv73AHh0/t0s9C5lcOHj3z8eDd+9cu65dYoO9cBHyCT9VwIyAhcSIQRCSJTUSJmglEiXZ4OnLIG21LVgeaRY7Mzw4XuaPPhMn9uvX+Gdr1nhht0d5pI6cRwwGNXoDz2GY00YKaJYEieSxAiMFS4LKiyBb2jUYgI/xPfGnF4c86lHJIdO+Rw9NYMyAbs3+1y1S3HTni4qmOfpwy22TDe45lLYtH6ZpW6ba7dIYmO54+GA8UAy3Yx53S0jPnlvxIlzLa68zOPsyohnj3hs2zjD9bvmuf+pHg88KxiHPnt2zbJnW8CerT0On13i0Gl4eF+Dg0eaNLQg0JJmYKl5IKUTc9a6izVOIIwhTAT9saA7EnQjCE2MsSNeeHmXd35Ll5dem7B5NmA0mmKxU6PXD+iPfAZDTX+kGIwUw7FgOJIMx65vdDROnMefyrxRZBiFlnEIsVGcONfhjz5494YnD154d73VjH/9PZ/604f2n+eD//kH/uEC/Cd/7b+jN3wS0eUfMzr2W1HnzLQvPZr1AK1czYXE+byOtXFsLQVKCbRS6aNBqwRPC3xt8D1L4FkafsJ0TdAbeyx3Z/jIfW3ufnLExpkB73hFhz3bRoyGfa7ZZdm2STGOPJKkSPMLLFIaPJ1w/Lzl6DnBytDwifsbnF6YwYYeMzXFJXOaHZs0l26Ba3Z3MXKB93yyydLSFLfu0Vyzu8MXnhSI2GPDjKTZiBlEPtJKsBKlfTojwfklwdW2wStu6vHlx+pcss7n1mtm+WfftsAff6bHw/ub9Eceiystdl1S58rNA265osd3vKzHmaUlPnF/wOIg4PhZj9OnfTwlkFIiEBhrSQxExpLEhpm5iOuuHjAeR+zZNuZtrxizYUox2wqIohpn52sMhj6DsVvlhjmwpQP3WDAa41aCccIoNIzDxEmgyMmTYQijSLjHRLP/dI8njj+47vJLN/3Wi27YEH3wP1/9F4sn3s3c9p/+hwfwn/iVD7HnJe8Q3/8z6u2bm0//4Tte8mTjml01uv0GagxKpoGjsAhpUQKktCipkFKipEQrgVbpoxZ4OsHXAt8z1DxLPbI0QstULWGmLhiEkl7Y5OipJu/6i1kwMSKOuem6Abs2hcQxGGuw1iVxpBBIJdCez/4TPnsP1WjWNC1fsq4hWD8n2TCruWS9YsfmhCt3rJCIRX77o22On5jm1is89uxMGMY9vvJ0wHTdY27KMt0KadSdFDJG0hkplvqWxU5Cp1/nJdes8MjeAftOKKbbNW65epofftMiv/MxeOxQk/7QstLTnF9qs2ldgw0zI3bMjfjJtw9oNzo8dRT2n5R4nkUpF4SDdf+zEMewc1PC7dfGJJFHFAdY22AUepxb8BmO3Yo2ClUu34ahYDQWjELH2uPQZWXHY8M4NIwik76XARyGkWAYCfqhoBsJOhGMB2PC7mPTb37huj/8zQvzcWf4kx9ePDZt53b+2D8cgP/cuz7EZZun1UN3vv+th04s/+mffWW59uS+Kd71zztcsc2gBglK1ZAqc0eyIFK5R6VSvS3xtNOcvqcYe5JxaAjChHFkqUeGcWQIQ0s7hnFkGMcQxoJRJBknAVFSY9+hJk/ug8RaHLSdNvYk+MrVfLQCuGYztOsw1ZTMtBRz05oNs7B905jN61eI7BK//dEpDh+Z4sZLFZdulezeuswXn405vzjFTbskM21DzR8SyACrBHEiEdYSJyHL/RrnFz1u3FPnBVf0uP+xGhtnBI1aixuvMPyrty7yWx8zPHu6xUrfsNJTzC9r1k03mWnXmWlP0W5ErG9G7LgxJPBiPB2jVIIULpiwuIsqihQX5jVRrIhiRRgpxlH6GErGkWQcSkahZBwKF6CGIg0e3XEdhwlhmGr6yL0/Sll7FDmA9yJBJxJ0Q0syGvKCHUv8yo9d4JVXnW2sLNX/1MjfN1bt+ui5Q3+UbLrsB7/5Af6r/+0vmWp56vCpc287cfzsnzz+3PGabE3x2YcEnoZf+pEOV21J8GSSAtugpZ8GkRqlLJ6yeFrhaYsXSnxPuJPgCca+Iowc0KPIEsaJc0Xi0j2BOLEkiSExOL1tyMGdSSEtwfMg0IJaIGgEkmZDMdWQzEwJNszG7Ng0oNVc4aNfDrn36VlWFtpct12xY7PH5dtGJGKFOx5u0PQ062cUrcaIpw/Dc0c0126zDMaK6y+PuG635dzZhPlln+Gowetv7vGlp4YcPK1o1iWB3+baSw2/9P2L3PPskE/es47FrmXHhoTljma6rZhqerQaHs26pRYYAt8Q6AStHEnItLXSWlzCyghiI4kTQRwLolgSxoIokowj57yEkSCMLGEI4yghjAxhiTjGUfmeSpIIBpGgF0k6MQzGMSIacuOOJX7xRxZ5/c2WTm+K3uBIDa/xfnTwT1Hr/vroM+9Pdl37vd/cANfSyKXlzncfO3769w4eOF5bX/dYigQ92vztA4JwrHjbK7u87VU9ZtsJvUENJRNXkKQ9PJ3gaY0XaQKtGHmOacaeJPQFYSTcyYkUUQxhJJ2DEBe2X5wYksS5C4lNnZLULcncGSWd7PG1IPAltUDSrAvaDct0y7Bxdsz6mR6xXeHDX5L88Wfm2FCrcd12wfbNHjsvMezYvMxHv2JZWqqxZ5Nipg2tRsT5Y5ILywH+LhhHgvVTkulpOHjUstw1nFuocfnOGq+6qcen7qsx14LA91Fymmt3C37kjRfw5AX+9v4ZnjtdY2M3YsN0zFRT0aorGnVJPdAEPgQeaO0cJilAihLIcRd2YiBJBHFCCnSIEksYQxQljhQiQ5g9Ria1HTNXJrUgY8EwFvQjQTeS9CJDOIqYCrp81+sWePsr+rz6BkG312IwqhFGAYPOsZoMan/oN3wtpPeXOJ755gT47/7Rx0iM+f6n9x79LwcOnWg3awoZWRILFsVAtLjjEc1Xnq1xdnmRf/kdfWbaEbXAZRw9VYDcDxNCT+OHTpqEkUulO8YRjolSVopjiBJIEuckGOMCLmNs1sOZgtsB3AWubkUJPKgF0KgZWvWY6VbM+ukh62ZW+PK+kPffWWf/0Wl2Tnns3gRbN/ls3QhXbu8yiLs8tLdNXXmsn1FMt2C6NWZmKsb3tUtcWRiOfZa6ESsDS6cfc2HZZ/umFi/ac4E7Hx6w/3SbRhDhKR8hpti9RfG9r1nghVde4P13tnjomWkW+5oN7ZjpRkyjJqnXFIEnCDyJ57lYRSlS+9Ch3OJ6WI0hB3qcmHR1S63F2BAnDtxxBGFsi3vkXJlR7EhlEAv6saAbw3AYY+Ihc/UeP/6di/xf3zOgEfh0ug1G4xrj0GccekSJx3DxeLsRi99et+lq/+jev/njXVd9xzcfwJeWOyipfuj33veRXz12/NScryUicQfY4g68Epq+bLAyUvyXv/LYe3iZN71swCtu6LFx3Zhur85oHOB7HoHvMQ41ge/svQzgUSQJY7fsRnHqaSek1h8pc0uMpQB3mhx1zA1auYSJ71lqvqFei2nVYmbaYzav63K+M+B3P+FxxyOzLC03uWy9YPsGwZYNPls3CHZdMkL7K3zwXs2Rk02u2CiZaUmmmglSjjk9bwm0RAqwVhBGmh0bujxMQnegWO5azi/VuWJrje94RYe//oLPsfMBno4QwsPYJlEsuWnXMju+p8sdjw34wB2zPHqsyZYZwbpmQrOWUPMFgSfwPReraIULnKXIazIs7iIzFue0JA7wGcjjxEk6B3YIE1frEmbJo1gwjKEXS/oxDENDPAjZuq7Ly29c5s0vH/CGmwxaNFharjGOghzc40gTRQpjBCuLp+dqzV3vvuL671CjYfe9tfr/mpry/yUAX1ru4PveP/v0Hff+6lNPPbvB0xYphQt8RAouAUoYPCHoiRrdUPPBL9a456keN+7p8j2vdlVwc9MBw1HAcOwTeB5h7BFGOg+U4lgRJZI4lkSJII4lSSJIjCi0thHkqsQ65pbCJYtUmizyPUPgJ9SDmFZ9zLrpPsNoyBeetnzoi1M89Mw0M77HtVssm2clG+d8Llkv2box5NItyzx1bMgnvrSeKaVZPyVoNwXtRkRnkPCZr9Ro+RYhHLCGY82bbh/z6QddTUynb7iwrNm6ocVbXtznoX099h70aQYxSgoHctNgFDqt/72v6nDF5gt88J4uDzw3zYnlOpvagqmapeEbatrge6CVQEnSBJn73lnZg0mlmjHFChenQHcEAVEiiJIU2IlgFKesneBinjCkWR/wXa9d4rtf0+WmKxI2znoMh006vYAw8gkjR0xhpBlHmjBWxKn2P3l83wYdPPCrl+55qRn0u+9rNL/+IP+6AnxpaYXlTh9r+b477rrv1z/56c/PLS+vEHiKOHGaUEiQwtmASoCWlkAKespj4ClOdQPOPNjgwaf7/PV1Pd72qiGvu33E7LRPOA4Yxx5h5BFFXu4IxIkiTtKETVIA3NiUuU1RU+Y8dmdLamXR2uB7CYEfUQ9CWvUhCUM+/5jkL+6e5pmjU4goYOeMZfO0Zd20Yv2sz6Z1kkvWR2zf1OXkfI/f/2STeFxn61bBdEvTbkK7ESG8kO6wyXTLIoTAWohiyWygiE1ML/LpDRKWu4rT83WuvrTFj/6jFd79lwHH55toFaUXhiaOa4xCyaa5gJsu63LdpX2ePX6aD32xzp2PTnOmU6cZKFo+ND2Lry2ecsdYyVSSlc6XAaxxF11iBImFOBHOP08EYeKSRMNEMExgGFviOMZEY+ZqQ17/6hXe8eoeL702YqruEUZNllcCximwHRFpwjBddRO34kaJIo4F/UGH557+4gaD+PVLL785Xlk69Wde0KbR+PrNT/y6AnwwGDI73Xzz/Q888juf+vRd7W63Qy3QJCZjcAfuLPhR0jrnQoKfGGpKMFA+g1hzYVzjbx9scu8zA265q89PfGePq7Z32TCtaDe0Y4fYI451DvIkA7iRGCux1kkCmweUaapfWZcs0jGBH+OpkO4wYr4b8ZsfrXH0wgyP7Z3GGp+5umDDOsu6KcFcWzE37bFxTrJpLmbL+gFz08vc8bjh0eemuW6rYKYlaTUk7YahWQ8R3pgg0Gjl/r61kCSS4VgzHEXERtAbGnp9y1LX49xim9uu7POiq1f44F016ksKLSMHSKuJE58wcj2e66ZrvHB3nxde1ufhl5/h+Lzk/XdOc2GlwanFAF9Jmp7Az2SYTEkG0pRnKlVwTB5bQWwgMoJxAqMYQmMhiSGOkGrMJTNDrtvhzsfNVyW065o4dow9jnwH6JR8wrBkS8YZuN1qGyeC2AhG3S5PP373nEX/zq7Lblwej4ef+Hpi8usG8P37D7Jlyyb1J3/2l5c9+9yB9qDfoVFz4E4SgTJZ8kakXrdFx6ClQCuLH1uCRNBQgqEWDHTAMPFYDOvc+egUX35uSDMY80/f0GHbXMyOS4bcdk0PLVyLmBBOrrispKuVtrbE3GQJJOeZW2KQMc8elTyyT/Oph1o8e6JFGDdoacX6umW2aZlpWOeDtzWzU5q5acGm2ZhL1g/ZvH6Ze58Z855PbWDztGZ9G9pNRbspaDVi6sGYLx9QjEKN13SgslYQxpKaVtxwxZAHn552hU/DhJWux8JKwPmFGX70jec5tbDIg0+sx5OAiDBAnAJoHEr6Q81Mq8Z0u8mLrhjw8usGfM8r59l30vDph2o8tK/OgSNNYqEZjxWDSKHy0ody4JnmBKwhNhZrDJ5ImPJDakS86MY+uzaP2Lou4p2vG1P3Jc26Rxg26PQcW8exSglHlUCtHKjjAthRBu5EkCSQGM1gsccTj97fPn/u/GWveu3b1PFjh5MdO3f//QH4vn172bBhzn/00Ud/QArzX3rdJZoNP43ULYl0Gk9Kl53U0mnDWFpUYtEJRErgJZYgsdQSQUOnLJJ4DBOPQVKj10v49Q/OYOOIjetHXL19xNxUzNteNWT7hpAoEqnellBiblL9KaVBSMFH7qnz1OEmQmuOn2lw+nyDWl0xFQimm5Z2zdCuQasumGoo2i3FTEszNw3rpmM2zo3YsqFLYlf4yJfaDPtNLt9qaTcUrYakVTe0ajGeF3LHgzXGA4m3wZWOZRKlWVe8/pYh9z1u6I8l/WFCd6BZ6WnOLTa4aleLt720y2PPNji+1EJJA0SpXvaIEsU4comZ/kjT6fu06g2a9TFXbR1x65UjTl7ocOzsCtpLePKI5q+/2EAoV7jG5PxBawAD1hKFCTs2xrzjVUPWtROu3GHZOAdJ7DEOW8Sxx3LXI44UUVKsoFGUPsZFjU8R+EtnSaYefGJSkBv3s3Pnl2nPxP/lySceG2zZsuOP9+/bG16556q/HwA/feoUCwvzV5w+ffp3n3ziEVnzVVrskyZXpCA2Ns1OQqJAJZYoEeg0qNGJxUucBgyMpZZY4kQQGkuYCMZGMk4kofGIDMz323zxKYMl4eMPuZENWJPesyxeapGJrCJRIpUijjTSaDwtaQWwa72l6RkagaERQCMQNOuSVt3JoamWZKYNc1Mx62fGXLK+R8Iyv/k3Ne5/egO752CmkbJ3Q9KqxzTqIc3GkHq9QaAkSqYaHCcHoshjNBQMxwm9saI/MvSGxrXMNX1OnZ/iJVeP+VdvP89v/LXmxEqAEAZrI0xiiWKPMJKMxq6MtTXUNGs+jXqNRtCgFkS06iE3XR7iexE3Xx7zzlcP0CpOk0AGkQX9OcjdCmOMRAhJ4CnAZzTWLC5rV7eTZDFPeo9lHgNFsSTJgJ0UzlaWWMqYO049+CSVKXHsXJsHH3pERrH83X5/8KXxePzM1wOb/9MAv+vOj9NuqfrRo4feuv/AIRH4GmMFcezS7omERFqkgUQKlLQp2MnBngE8SSDOIvrEXRR5ZG+cPnR3QWgksZUkRhOZgCS1vcq3PEspQAvh9L6CWt1S05aaSgg8CDTUfEs9ENR9SaMuadS0A3hTMN0yzLZj5qbHbJjtc8mGRd7zKcMH7tzItmnFupah3VS0GopmAxr1hFY94uyi4fDZgJrv4g3IKv0Eo1Cza5Nh07oR3ZHPcGRTFpes9DSteo1WY5p3vvoCR86e4w8/sQUtNRZDYhJiY4lizThUDENXFDWoSRojTT3wqAcJnZ6LMXwvcQkzL0FL1yghpUvni/TuSlecxeVALuiYtMrSuLgmSSTGSGJTxDsOrFmAnz0vPU4AO0nI9XeSujVxQm7vPv7kk2JXp//Wrdt3HP7rj/zN8G3f+T/nkf9PA7zd0H6vM/+z/c75n5V2LOuBJEpwBVIpCyeJRSXGSRUFKhEkyjpQG/cFM8/a2VXOk02yrFsmdbI0e1op57xckQdKZc0NVIJaLQ1akta0gKcEnrbON9aCWiCp+ZJ6oKjXFK26pNWwTDUTplsxs+0x62YGbN+4yEMHxnzwnkuYqQVsbBnaDeHAXZc0a4ZmLabVGPPQfnhyX4PL1ttU9xZp8+FYcfOVlsu3D3n4mWkGY8twlNAf6hTkHo1anXptmu962RJPHrjAg3s3gVUYk7gVMrbEkc3rSYZjTWNkqdcUNd8Q+B6BnxBog9YJnnYlxkq5Wp+suA1hERR6rgjOXQmxyRwpk9mvJSs2A3YmOfLXWbZ0AtwpsHNwG9Kss3vdX+nL4yfO/Hupa36z2fxlIPyGATwcD2QYjn7x7s/95b/trpz1a4FHGJGnvmMhUha3JNKBOjFOdyeJzV87oLsGWpOQP0+yjJsl1/MmzcRlyYoscVSS2xMALxI6SqYZS0WpaMtl/wJfUQsU9UDQqAtadUu7kTDVjJlujZmbGnLJ+mUe3D/kF/9kIydOTXPpOsN0A9p1RbOuaNagWUuo1yJ8b0Rn5ArGPOVcpOyW6c4o9mnXIwaxYZDWWQ9GCb2BpFNXNHoBtaDFzk0Rv/QDHf7Dn0q+sncjFoWxhiQxxElMGBvCSDEKFcNAUh8rar4k8C2Brwi0wfOc36+VdQBXDuAqlSlC2GqDbpratymJ2LSWJUkBn5ji0RGTTB9FAfD0ec7aSerWZESWrdqJSTOphiiGo8dO+dpv/PSP/fD3ef3+4P9uNht/53T+3xng42EXk0S/fGjvff/HyuLxWuBLZOxg5pySFFiJcBpcZaxsMbIAd5JYjLI5Sxtj8zSyyT1asMa6LvK0BLR8ZwLgRXtb+hlEVlPu7DKdtqJ5WhL4bgBQLXAjGeqBpVkztBoJ7UbEVCtktj3kkvUrPLhvwH/443XsPzHLjlnnsLTqkmZDOvauWxq1hEYtIkpC/vyuFlIpvLT8N2dwmy3hHt/72mU+92hILwwYpADvDxW9vqITaGp+QOC1uXJbzH/6wUX+3R8LHnhmI8ZKEuPS6lHsCs3GoWFcc+WuQSCoeYLAd5lNX9s8Y6uVQSonE6WwrlEiA3iR8gRSEsHlEpzbkgbyGYDTqQMmT66Rsjv5ipuvzDnA0/OdxWhJUTcUxQaDYv/BY7VPfvaef/Ptb3qNWF7p/tzM9N8tCfR3Bvj5s0ew1rzo2KHH6iYJ0VrlR0WmdqBzSiCRoIwDepKnhzNwF8AuM7QxRfuVA7pwdRQZqLMDP/G5MoBnNRhZJi9jb62zuhOJ50lXv+ELaoGbedIIEpp1B+52M2S6PWT9dIeH9g34xffN8uzxdWydEcw1S9KkpmnWXP1KvRZTD0I8b8zpxRk8JVDSpLZcEWQmiSSOFZtnLHEc0Y1qaaeMYThK6I0k9YGi5nv4Xg1PT7Fna8x/+mfz/PwfwYPPbSAx0gE8sURxkjK5YRwYaqFk5KtcgnkeeNpJNFen4nIQMvPG08c1MO7kCmlSCJEnh0yaHMqyxUlSShqV6l2SXILawlnLZGhW4ZkWxcWJw8BoFHL/A4/U91yx60Xyf2LHib8TwJ974g4gbDz16J3+cNBFKQFp/XHmQMkkBbYUJKr0RVNGN8aSaHKwF2Auy5DiZzaTI9nzi3w2KYoiKreKiBzcSsq0USKTJ1DzIPAN9ZqlHjj93KhHtBsh080h62Y6PHpwxL977wxPH1/PJdOK9U3DVF3QqkkaNUWjLqjX3MXhUv0hD+4V9Ec+NUV6kTkNnjUhJEYQxZpmTXHbNT0eerbNIHIyZThOGAwVvUAR+Arf81P9PM1V2wy/9sMX+Jk/gAf2biAyksiYtFm66MEc+5LAN469vaKOXqvsTipTChkn0yzvWiDPkkI2A3gK+CR3XqiuvJm0TKoElq/apli1s9dxusLHiTt/S8sd/uJDn/Df+u1vbPzlhz89+J63f+v/eoDPnz/O1MzW6Wcf++jvYwcvkzJGCJmzZpwCLJHplSxtsWxJUsZOr3gDRom1WbsEaJMDu2gKJtXe+ckQrqBIyBTcaZGRygEOKq0Y9DT4Hq4TyE8LrIKEeiovWvUxU60hM60uTxwa8+/eO8OTxzawaVqzvmGYqkOzJmjWFY26opGzd0ItiGk1Rtz7pM9Kp8bMTJEmzwBjUm0aJYoNc4pXv6DPvY8Y10UTmhLIJTVPUvM0nvbRuo6Uhqu2WX71hy/wM39geWD/BiKjidIKQFf26pg8iGReXehridZpEZYUKJ0dG/LPl12EmVQRpZEdWUJo8m5Kj8aUHvOVt7Q6m7WBbVK3LDMW8tqYJGGlO3zZgUNH/+hH/9nbfuzWw8dWLtu9838twIe904SjCz/TWTr63dFoAd/zMCa1ARObM6f7AjIHeqazTbnhINfZKdjT5EzG3pVAcpK5bbZiZDNTSqtHqcZbqaJiUCtcfYa2eJ5rLK75hpqfUK/FNGoRzdqYVmPE7FSHxw6M+dk/WMcTRzayYdpjQyNhqmFTcKfsXZPUA8f+tSCmEYTEZkwvDBBK4mUMnmtwkS7jaWYv8mj6I1cuENaYyUA+Shj4jsEDX7qaeJ1tQGu5dqfl3T92np/6PcMD+zYSGc04EYSJSVlcUIsMgWfxPde7qtO4QytXIqykTI9P2pWfPZYKs/ILsxzrTIA7J6ESMZXBncdVtnheLmEuHLLy+44ITp9b5Nl9R7/7ni89fngcRj//v5TB+50TNNpbd+x95Peus9EJaoEgMQYjhDs4UqDKmkuaFMw27SjJinpsCeAiP1CJKR8wUWKKIitpy2tmxtrloDJbbtMOHZUGU1qnnUFpEVJWPVjzklQ3R9RrY2baA6aaPR7cG/Nz71nH40c2sn5Ks76eMFWztFJw12vOTszAXQ8San5Muxmy95jlnsea+FLiKZMGcYVHkQXOUaKIjeYVN0VcdmmfwyfqrG+4iV6j0HWuD0YpC2uF1l6aLHPe9TU74Nd+ZIGf/wPDl55dzyiqu2RYbGmkNdyBhwO5zlYvk/e2SpXkK5ySogRwUQI5q/RKAXJbBXheoVisvGutzJMANzaTMZPmgsVYxXMHz/LJux657tf+/Y/s2H/o1PErL9v69Qf44uJZrJraeeLIg/9t2F95s036eJ6PNAaTCJQtylOllKhchmR2Ugpya3NQl5e0wo4qRe5ll2SVW5Iy9yS4hUWqzBZ0YNAqZW1t8bXB8wyBZwj8mJofUwtCGrUxs1MDlnsD7nsGfu0vNvHUoXWsS8E9Xbe06oJmTeReuXNejGNv3wG8HowJk4TRsEZNuYtMClGp5MsSKS7Q1E7L67HrTI9ECeAG30/wPY3nSTdVQHo5wBFw/S7Br/3YMr/+lzEP7JvjTKfNqCmZTiyt2FJLJw4Enk29/8xJsTl7Z1JF5AVxIo9jKH1uUTr+Nj0pNj9XpfLbkqR01ZwlsE8APamAPrOEyz8X9DoDFhaW33zn5x9IXv6SF/ybU6fOHNu69ZKvL8AHnWOEXv3WpQt737pw/jBBoMAapBAY4RICKmdpmyYGbAHyvC8wTc6YbLm26QEQpQOzGuDZIS6rwuwkuHEPGXvbVJ7Y0nAgVxbraZOOmUhycAd+Cu7ZPvPLQ371zxt84ivrWejPsH5Ksr6WgrvmdHcjDSzrgaQR2JTBnfauBSEQcvcTPsuRz1xApR4bUV2hksQ1P7QDzatuHPDg/pBeFDCVd6wb/LGrVfe1A7hWFiU9hHQJGizs2Sb5jZ/o8ukHh/zy+zZyamGG4bRm2he0YkMjhiByo5d95QYaeVmgKUUeBGeP5UC9fGEKkfeK5OcHJiRkGdil+MmUwZ8n6dYA+YSetxa0Vjzz3EEe3rnhra1288/7/eGxryuDx2Ef5TUuP3fivn89WH6CWuCWftcdIgrmTYfn5LIkj66zjpqS1s5BnXqs2MKGmmTtsixJD3TGLFm6OXMBVAZwZdHSAVsrB25PJ/hegu/F1PyIwI9o1YdoPeDeJxP+6DNtPnX/BkLTZkNbsK7mZImzADOfXKV3kTJ3mb0jtB7z5eemGYSazY3s80wyeLa6SaJYUfMUL7pqSGwcwIeRcF3rWef62LjgUKezYVJ7T6TJdYtg3bTgu1/ZpxWc4X2fGXLfc3Oci+oMapJ2bGlq60Cu0zhE2TQusSnIs2MoitpxCZKCxSd3FMylSjaigkltXu4eooivDBhsLkkLoJf/bSFdAQyKu7/8LNdcfeW/fsu3vuTxbm9w8GsZCfdVAT7uH+bc8c/gBdOX9Jf3v1zZBXTNB5ukX6ioXTA2Y/IC7MYU/nX2XnaCK1qbDOhlYJesh7J9JeyENMmycqSd+eSTrzLm9pSrxQi8CN+PqHkhjcYI3x/wF3dq3vVnGzg8P4sX1NjUEswGCe3A0gygmXbY1wOX7aylCSFXv5KkK4GTJwvdhH7o4yuFL20eYFL6KtmFndVuhLFH3RuxaXrIyqDFMBLpuDUXK3hektp8KrU7lQN4JXB1lY9vfmmfm6+e59feP+IDd6xnKW4yCDyanqStXQ1OoMFX5M0QOkv6pCtfUbtfJIDKpFIVK2Wgs+YKXIB7DcBPOjBZ6UV6J/99ihNnO9z30N6XD8bJJQuLnYNP7jvJC/Zs+59kcJuwecfLdvaWnnnPYu9JaoGrpXYgFBU2tkbmIC8kiCgCyRzgE+DO/NU8iSPW9LkFtmATmQ3iLAFc2nyAUMHcSQryGF87SRL4YwJvyLHzMX/46SYf+9IcR87P0G54zNZgJkhoBTZNvWfglim4ZZ4UqqXaO/DdhdNujvnolzUHj9eppRO48nYxCpTb0sWeJJIo1uzZAd92c48/+uwc/Yamnc4eCcI0blAGrWU6to4SyL3SuXKrwvZ1kp/7JwOu23WKP/jULEfOTbEU1xl4mqYSNFKg+9K6Cyd1mfLVLzuumX2I0+dFptOu9skzYrJF36e7mNewFctSJFvZJwFf+ln2u2Kr+cID+3nhTde859u/7SVvWFjsfVWp8rwAt2YEImC4fN/WqP/Ybi0uIPxaSWOJyt1YU2JpMcHSWa12xt6i8uFtOnCzZHOXaNtWdGAGbPdo8wYKJU3qmmTsneDp2HXu6JggGOPrMb0k5Hc/7PO+T2/i9OI0RtWZnVLM+pYp39BImbuRp+9lWqeSSpPUO8/B7bvs5TgKOXgqoB8GzASpi5MlnTJXosRKeU1KpGk3Nbu2hqhgRC9sMfQF9XQkmp/KKy+VKDpzPdLxdquDV8X6qQE/+uYBb33FOd736S5/+JE5FoZNhrpGTSsaWlBXliC2js2lkypaFuUNWZZzFZOzhlyZdFioMnkBdLGavSuvxer3yd5THD7b5bNf3rdb12pb3/G6G48NxhGNwONit+cF+GhwHqna6xMTfLi/+JCntUTZqNDdOQPLHLQ5mHOAZ6CWpS9YrljLufmizJ0XcmYHOgV2RZ7ItEpOJQ7gOkGrBN+LqPkhvhfSGYV8+SnJX9zZ5iNfmmOUtPB9nzlfMO0bmr6lEVgafgHuWiAJAkmQShOXGEqdiRTgvucyn0fPWu57tEEYeQRNuyrAzG55mjstRQ0jhedpXn1zjw9+vs/+U02GNTeaYexZ/Bi8yOCFBqWk862lQApZDPehAE9iJLGRNALNxukhP/VdA67aPuYDd7Z4ZO8U88MmI+XjeZqaFtQlBDK1UTN7VVqXTxCUQF6tWZksziozek5aZRanCuaLgTrJV/iipS5J/w3a49N3P+l9zxtf+OH5xc4LFpZ7839nBq81W3K4vPfW5TN3TVkT4mlbcgLkKkBnxfIVVjciL2UtNHYB/IK5qwxeKfxxPTqOyfOUcjHLMBv1plXiAK6SXI5oHdHpR9z/jOBPPtvmzsemWOq0kPUarbpi2rO0fUPDszR8S90nZW3H3PVAUvMVNV9Q80kr9EwKbkPgOf2t9JgDp+B0p+YSK6m+rSZOivoZQwHy2EjCULOxLbh825CnT8QMIo9xOuPbD3HgU9lk3SxRA5N1GoVblcqfxNWHv+PVQ153yzJfeLzHn97R5pG9bRZ7DTrSp+9rfCXwpSCQuB5O6XapU6K4SJVIy37XYPBV9StrMXmKhUnAJyWAJ5nDlD5PLCQUEgYByTjmj//qi1NJ8rJbb73x8s/yPMODnhfgZnQ88PTo9xr68WZSHxV9fBVZUn4usWYS+FmxjlgFcsqOScrg1aNWlia2UqBfzDA06WPiBuJnboaMmO/F3Puo5jP3t/jEfVNc6DYRtRpey6OtYcpznTx1j1R2QN0X6V2mJaep7vYFQcbeGcB1jO/H1PwQayPufizg+Nk662YFnjR50Zlcg+3y8tNUUgzHHjs2Cl5944CPfSWkH3kMI0HNc/2qfjpZqlilVO5XI2RFpri7LBoVjPPb68GYd7xyyLfcvMjHv9Tj0/c3uPepFhc6DYbCZ+hrtKfQQuBJgSclnrCp1LIoREkaVu3DNci8UhCXszalxF6JsRPc6zgFeJwyd5FAKi6dsbXc+/iR5tv/0W2/t+/wqauA4d8J4FJ+Cak6zM0cJx4HhJFyll/etS5KTJ41+soq+E0J3HkwKQo5YkVlm5LsS5SXQVECthAmtQMNIptlqBN8HVGrRYzGCftPw7Ezig/dNcVnH2lzYbkJXg3d9mgoScuztLSh7lnqHtQ8B+6a52YSujJTWbqL9Oc2BbnJQe57rj3t8BnD00cD8Lx0mbelFL2ooKB8wl29tCBO3Djna3eNuXprn32nGwxrgkYsCCLLWJFaeyZl78xNySzIQqvkPntqRRqj0ukDHqPQo14f8/2vH/Om21b43KN9/urzDY6dqbHvdINwJSAONCOtkcpN9VWATh8zJs+lC0Xwv4rJyxo809GkkoSCsZP8/RTQZCnt7DFxJJ1mBG1kWFgY8snPP8HUdOv5IHxxgB86ekTsPd7/13ff++51ybjOLVfE3HR5iFQCqSUmkoShSoEuc2kyCXwHalkBOKWOd5v/X3FohCgeRdZtkrG2MOkuDwlB4CapxknCuUW464uaw6fq3PNQndPLdQ6faUIQoBqamlY0taWpjXMRPDc4v+a5cW0OxNldpneVApxUc6fg9hICz7G3u7BCjs7D3mMNPFm1B3OJQlEPXrgJWd4g7WuMPa7eMeTyDQOeORIziD1akWCswY/dTEBVAriUAiFlhcmhpF1L2WRXf542BSceY8+nXQ/53teOeel1XU4vd7n7YZ8jJwM+91iDM4s1kqGHkZrIVwgp080IXFe+JM14Qi5bMkKadFYqLJ6/V6T286uSrKc2vWMcuEMLkUF4MVLF3HLVmFsuH7Jj873rfvB7f/Jf/8q/PvjuVvvyNcO3iwL8v/75fcRx8t0f+1uag9Emdm0ec+2lI15+05ird8VcMpOwe2eIQpKEsrIkOklS1eKZTCF/zP5SObDMEjl2grlLUkQleEFClFiOnBQ8fURx10MNnjnq89zROt1xwDgMwPNRbY9ACRoKGtpQL/nAgc7qNLKyWVcXHqSyxPcVvi/TC8AW2ttLXGbRczq/5kdYE3J+STK2AVpLfGnRJZttgsBzkCe22u8Yxh4CzfrZEKlG9COPgRbO6YiKgjGtTCUDKTOTGiAbdkRh22atZdlgJC9R+fiJwdhn00zI9o0RN106ZhgO+adHOzxzzOeuB2s8fbTGkRM1olhBoLBSgZAkspQNyun7IlqlnOGykHXvF5ZSUgDclAAeGTSG3btCtszE7Nk15hUvHHHdzoQdmyxxcqJZj+/4btHT7/4fYvA//PM7OLvQUx+5+zmxNGwzjn2ePBry9OEGn3swYsqL2b415No9Ia+9ecyrbgjBJnga6k2LtemXNoI4cuDPgF3IktUHQwj3hYW0aUBrENIShZbByDH6sVOSv7wzYBApnniuxqGTAQt9n3Hig/ZBeai2wpeCuoKGstQUbpyZSguPlGNt3xMu6VEGtyfxU1kS+BD4pK6JS5l72uB7cZoRjajXQi4sJ9z1QItOL2BmSqCzYf6yAPnkLVuB84DQSMZjxbo5xetuG/G5R4ac6DQZetLJFA1ebPGizLNOPXaZOLuQ8qwTmf8NY3Xpbzig+4ki0YrYS8c+RJ6zUr2Iph/x0mtjXnTVmLe8fMSBk5In93oMQ8UH7mpw9JwHQjIYapJQZeWbWJ0BfMIyygBeSUubHOgitghjsakcqTddQk5geNUNY15785hrrgzZsSVmSgvWtQXGuIsTU2OwfFSY2ovV2aOfjDfvetPXBnALbJxr/S7jwfXCU6DqYDTGRMwPY+Z7CUeXEh54JuHDn49ZPxNhjeXGK0Le8ZpR2thgWT9luOHakGYtXXGsS3jY1YeA7CdCWjoDwZNPaRa7knpN8tBej09+qcYoUowixdlzPkZoIuthhAdaIwKNlhJfCWrSUkuBHShLoKyrAdep56sL5vazvswc3Crt0RQ5e/uewfezAq0kZ2/fj1Aq5IuPKz72lRbK185uq+jvizN45oUnSeZ4KEYjjzfdPuQTX+7ygbun6Mc1mqkO9zIdHmVJGZt3Cwkhc4C5PyVLWr8EcOOYPNaOyT2tiLVGx4kDukpQyg3Sn6nF3H5lzG1XRlgx5m2vHDCK3Di3v/1SwMN7feqBYKGrePIZn+5ApipJrHmGC8Z2afxmzXDDC0LWTSeuNjyxvOM1I264PMIaWD9tmZ2xKCQWN7ZiMPRSqeUxGmvCJLm+2Zj+XeBHvyYGP7PQY/Ncs/2L/+8nrlwexEoJ0EqRCIEVGmQMNsGYhLFJON9JOL/ilpQDJwyf/KK7Qm1imZpJuPW6kFbd1QFPVE6tAjip67DSVzzytE+3o5BaupkoVjtmEho3F1iD1Egp8aRwYJaWQBp86YDgK/BVMaPPgVwUDQ/aNQJkjcdlcDuGT8tqvYzBk9I9JtAR1oacXvAJxzWCKYmfpr1VWpVXyWKK/PxW8gF5d7pRhJHHTEuxbV2IL0YM44BhLKhrNwQzqyHJElpKlstbZf633N9I4yJjiuypMWnPZCGN4jhJ8wYq3f8oJooTVORyCVolSBmzdZ1JVwzDVdtHhHaI1IZOR/DI05qVgUTliqUaVJfJHOu6tpo1y4uuj5iaNtjEydi6EmjAILFGkUSKyBTmRmKUuycaawVKDZSvlq+c3fbOtk2WukLNPj/AT55Z4Pz88ru//OTRV86vDKgpibIwFpJISKxVbjmRmVYqBu7E1tAhXXulpbtsOfvFivW/NrCpLm9WCEy25QJpzalQRZAjZWplZaBO086SdOPWzDcuPeq0k16Rbr1HDm7X1qXwU3D7mrzE1DF4yuLa4KfZUc+LCIKIkwuG93+uCdrHk6IIMHN5IlYxeNldyIaEOrC5wTph5PHO1w35+L1Dnjvfop94NGK3Ka2rAizmygiV5QTKwV5WuphJIVkq8MruJq+F0VrhJW5eipcCXckiaebqxtPnwqSDgxK0sAibsK5h+NaXGBBJKjMBke2fYVef7xwSAms0Ji7isySSRPmFmdqd1jlBbiVyM1lM+j6mSzzc+8poePTd1sb/4qsy+J9+8C6UEv6FU2dp6rRxwFo8C6EQRFYQW4WxquRPlmydPCJ2j4lXBrad+L6lMy8EUCyzWfAipMxb0JQAT7i0ciBctaAn3etsiKdOGS4vJNKU5qCQ7sxWdNUXAJe5bAl8m7e0+b4pDc6J8VL29nWElCHHzwnmuzWE1gSSijzJ0/MlC63qC4sq8FKnI4w95tpjdmwasu/cmGGiGSUQJG68nRenOjwmd5aKw6gqnQqZSeEAkTUZiJI0MujEkCiJ0tn25SotVkuQyqQrhSms2RTkIvvbmAkr1+ZAzxyw4uLOi53dYykfUsmXlBKJxhQmhikF5ja1q+PleUbxp/218j2rAH7o0HGkENhwQNOzGCw6jfg9YVMz3hnxkU3nZJCl4W364TMgXwzYZYwLt6xmS3luQWWeawpq4ZwJLW1e45E9z99Lyb4oBSVvsPWVcGCvgFu6Rz8DehZ8puDOun+0ySWKp50+9f2ImIhPf7nO+fk63pTCL9dwlB0UJhRppfhITASBitHYTbB944v7fPmpEd24xkBr6rEhTNPpShYFUVnBmRCGonMoCzQn0t4mnaliIVHub2ojiJVAJzLdxc7V8sQp0ItkWrFJmJSmlHgzlSRcYe2WPLKLSPIigz1pKU8kEyuFfDI9Zk6ymDBmFJ1YUyFUAP4nH7yTVrP+kg997J6bsQmBTncBsG5J0yIFtLXpDmVZSjUz8dOUav5hnwfX2T1LFghQ2aOwaECLrJ+xmCeezTfMnmd1E1qKfBRCGdj5HBSF60dcC+BZwJnpbp3JEpvq7Wotue9F+F7IuY7hsUN10D46lSe6VKCUZfvEBMLd8bEFk+d9qTL3xKPI48bLxsxND+ksNxjEioYCL3bfRSVugJKKygDHgTz/Q3KiUlOkfZMpQJRrKfSMIFGSRBkSJYhTkJeL17JyCJlv92jyLR/z7R9xrF6UNOc8vbp2pcx7tuqu5RclYjXYs3Fy2aStxOGxFtRuXr/tVS85feRV92+59I1rAzyKQvoD+61SmBtsEhFoTWws0rpKs3xuSZaCx5ayT0Ua1pTS72sosDUAXtRsFOy9ug4iYyydvZfWgGelnq65OOtUcbJE5d0rBbCz5lvH3qnm1uR6O7MEHWMX4Pby6sQIQcSnvhTw5WdayEDjS+Hmb+cVhEUbXVHxN5nNFCVWEpUgajjyuO2aId/20h5/+KkWYRLQTyS1xG2ZrWVRrZjLFClTFi//qYsxORgt81bCDNyJkihlHKNLmY6WyLZ1NCWAp+AWJYCX2DtL0rlF2k4AoGSQT5Rq5I9ZYR6TTD45Sk66gNjnhjgcfatJ4vvXZPCjx08xPdV63V999K5/srQ4T92Xbps94eJJYy1KZHUEtjQPkBJLFKMcrC1/oYuAPF3CykyX91ZSlGtmQBclFndbkGSvSRmcvA2rwuJpN4ynquB24xQmmDvt2fTT9jZPZw0HcekeERLxV3e3SWyAyrOX5QCz6GvMnI2KBmeiXc9INx0qyYJNjcDjHa8a8OefHrNiIoZJjWEi8GJyFpfSImORF505u3BSi8riPJUr94wg0ekoB5WCXFuUcXIlUW6mpFIyzR7LvDQ5lyqV6s50eJCoZqGLAPv5XbRyVjurYSouzhLAS6SQTSdYWlommBr+k51Xfss9K0tnPjc9e0kV4EkcE4bhZeFosHs06OF5vhvAkgLPmIKx8wApA3iKaHsx5i4FWSI1wXOlKAqgV5uHq88nNWfmIpRneyglCi2eVtxVht2kwNZKFE5Kbge6jnvXmGxT5i4CTF1i78ALeeyQ5OCZGlZ5KCnxpXGSqlynURLgky5Kdi/a+qonLUkUUeyx+5KIqy/t85UDdSLlM4wFNQleYtGxcEVQIu3CiVMdjnRyofInVzealJu+C3fF1bs4cKftbMqWwJ3VAlm3bXjO4OSrR7ZNTBZgFrNW7JpSvIC+q2UoyjmKla7cP5AV8mXlxsZKur0hzd5odxiGl0VR8rlVDH74xDyNRo0zCwPGsQvIhHBfUFgwoszWjtEzpp5k7fzDrv74JeYuPZ/Qqxm4VV7zXdhuGZsrIVz3vCjA7YJMkXeL6xzcsgLw8vAf121PDuw8W5kzd4KvXWLHdQVFWCL++u4Gi4t1RKCd716+CCdrUMoXerkAyVRZteJNG0UUadbNSt7+6h6PHWozTmoMlE89cVo8K2dVkhTc2VphUk88dbhSFq8Ec3ayb7Y8yVe6HTmyVclYimm0sqLFRfq9HaizAVB2AuRF0VyF9yZeVxib4lhVXJZShapJS62FsNT8hIa/jOYUMMp/Zw7wn/2vfw1SEPWH+EbnlWNZ0ZMsHRwo9ctl8C07QRPLUeWqTeVHuZG1kCe2wto50PPJS0VTbHnmYA7wnMUzuSJRugpwX6cDgLxs68A0w6ktXp6KN+nzpHLXynXuPHccPnxni7H0UVKl2cvqhTiZwZxkrjIpVHV4qsUTRZxogkTz9teO+JPPDnjqSJ1IeQykxE9M6h4JZGJLx8e69jJRXkdN+req+xaVmTwxoHML0U38VWlJgEpsMawznUgrskZlAXFFh5driCYbJGxlJbsYwAuyLKmEilypXgQIaDYsdfEQ8cJjJCWFpgGOnzjN9m2XNH785/77rieeOoiJCkbN+37T31awdGmLkBJ7r3UrJ7ZWfdmSi1Jm76pEKabVTo5DliXGzoLMbGqT1tkmr6n2VhPgztL3XtaYbNzMkLxFLOvpjNN7hPJCDp7W9EIflE7liZ0oj528cKsIrw40mvDC026cIvGjaXqCK7eMeOpgSGIChsanlriabZ1qcCXcRq4usZRJAUMWZBZMXvaYXepC54NN3XvKuNF72pB2EFmkKSYEZNO1kqy7f6KF0NVgWWTpHJeZfC1wT94KyVLIlArwSwQrBCRCsrSsSdQVu6646d80Vpb+42B6drMD+MlTZ1le7rz2ut1zP7P36SHWl9VO8EqkWzD0mqBeo9CkvETnthlVIGR/r2BuUWHwIsgsD9XMQE5RI61KoM6fp0keReqFO3A7ABdDgbyyPCmzt0r7Ov2QpZ7h//2bFovDGiLwnDyRtrKqFINzuKjmzIGOK5u1WZN2zuDOUYljTbuh+fHv6PGFx9osjn1CqRlKiZ/2UBYjH1IGzyp+Ul2cldFaTApuUylhztrGdDppKgvSM7ArKVIGd5Ioyd2TFODZGOYSexfPS/q7ItmqbL42wFklU6o4LH5BkngMhhZvetvPnD114P44Gn4cUgZ//MnnqNUCjh47gRIJ2pNpUDn5R1bLES7y/qqWpnKgWWLuDNTufVGwd4kNy9Ik65DJgS0FUhXjx1QJ1FpKdCpJdA7wTHObPKj0tMnB7ems/qLK3p6K8P2QD93t8ezhOkgPKSVBVhorqlsk5gQhxJoncvVohfJwJJFuFeJazuLY49rdA9780i5/8tkaRgcMpU8gRZ70UVIQZS4Gq5lclJm81C5YrokxCpR1q0I2/iOb7ahKW9Bkm/pmkiibL+6+f/p3SzPHZYnFC3KrWocXk3CTLyb7CAqpJxmNYubPnyQ2Hkk8Jge453n4nofWKg/UjLCpzqlEjhWgX/QCLP0wH+JYAbrNWQ5WV90VgWUGeJHLkq8OcFkAPE/0ZAC3bk52KkU8VbglXmk4UKG5HXt72k2tWu4Y/vaLLRY6AdRS90SUgrGLSBSEqB6r7FiuZdvlmTqJSTI3RTPTVvyjVw74xJdHLPYDQqUZJjK1J0Xq3oiiGVsWTJkB25Uxu7dMzubFeAadOSsqfS7T1+leStlxL4NcZNtCimLlqmrxMpOL/PyXZzVWCEBYJlsXHQpFhc2z4+eURNH/K5XG0xqRSjL9zHMHWL9uZucX73v4X508dQ5Pa3dwVnW8P88VVvkwVeSvckwoTngV1NXJpnklXpY4qQC7Ovu73OHihrtTBXe2s0HG3KrE3KsYPBs3UYyc0MplLo8eExw4XsMQIKTOm3OL6sGqxCpcjeIslmtRcpBTatDOdklIdbgxLtjEavbsCNm9ecTivjo28R2LJ06m6JKLUwR35UKvrFZIloyBlM1t4ZMbWcyNLMc2Kt0G0qQbGuQJLVmQUS5LpEjjqizYFKUL3lYu+Ox9S/GZ10LVpDNXyOMi6ERqep1zbNqy519deuWLnzh/9tAxHUUJg8F4UxyZ152/sEijHlROwKqykjURPfHWhHNQ0dwlVptM8IgSqMs6XObMXQV2/qhIRwGXffDyPd3SWpXBXQJ5ul+9l5aGZuyt0tdaRygV8emvtDi4UAe/kCdeybqsXLCsHhcxeZucF7IqHV3S4mGouXRdyBtvG/Dwcw0wHnHitLiXpNndpCqVcnDlS2pmG8q0UG6iMdwKjEyfy3RVkdk9HYudrhhSpKxushXW5sRUaHBRYvHy5ylddBW8VLXK88YvJUwWUk8x7C8hRPI6Y0abBMkxrZUDiu+5MQkq/WJ5gJn939f4hyuRcomt17YFqXzhyQAtA7RYA9g5mytRasItgTudT1hs28FqYOtiQFA+4k2bFOSxkycqot4I+cp+xce/2GQ48qGh0dIVn5WlyeTnnwyq1zpJFf09YRmWffEo1ky1NG95xYjPfnnAQ/t9bNNjmAT4gvxCU/nfL6fLc47MQV4O0FzwmV5gyrF5Ip0eNyXWzoJ6kwaX0ojSzhCiFOg6ksou8myyRQb4wiYWhcOyxnESq558FaBbwWisGI/dprNhBDqMIsIwIjFJqnmFW8Se55euWkYmgoTyB5Wi+l5Zi60tT0QpuBQ5aPJ5eaq0e4MSaW1KAe4C5FnZrEXrYoSyTjdh0qoKdC9na3dXygWYvh8ShQmffaDBcyca4HkIqVJQpfUypeBSlJm8dG4qjkqZtVM3ypYymSabUpAV+ad2YRhqrtoe8/oX93nyWJ1x7JNIj6FR+AkTnyXzwplgcPdoJz4LKrvYDEa5cdjWgpUCq1weJNPj+YoqQZrSLENTsHQ+9k2AMGvEJeVjIkquzyTWJon1q62IBlfrHkckSYz+wz/7JEoper0uxsq0ok9UPsSaV9UawK76nMWlMMlmk8w9CerKYwncoiJNSlZhztgZwIvJqblESZnbMbbNmVrnj8VzLw0utYoI/JBnjgs+9+UGg6EPTQ8psspBSvbgGlnM0vcsH72sFsWhS1AdJD+R8CkVYIWRR6sV8vrbx3zi3hFPHglA+4yMxE+1uDKgkszVSD9DQmrTCTejIQd7AWxr3cqXSxfp2DxbVbIg31gHdmmKRJswhZuSr2CmYPZJ82AVwCdAvyaw8xd2bTJNf1e9Jlk+9xBR71mSJEGfPz+PEII4jvNlK4vAV/3RVWAuPuGqD5r9m/x3iMoVvCaLyxLYy5o7B7nT2+VsplJphWFaUejaudLnujwffALc6d3LptCmBf5axe6uIzwvIrYJn7q/zn3P1KGmQbqGZq9UwlspjS3fyy8uwjjVaawibyjPHJXEyArQxyOPl1874I0vGfDs8Rpx7GGFYig0XkL+mURSsHjxEdZm8vIQe6VSy1A6NnevBdKIXIfnfn/G6NlqmzJ4wd4T55gq4AuQF65KWc5WSDO3FVfPLM/+m0wujkddbDLAWIv2vWzOhSAyRbawuqQIJtm6mnItg7r4oKu+SPpClgFeausq7yxQAXZFqpTT9KV7umNBAfTSXReboGaA9kqgzpwT55i4R6UifC/iiWOSD9/dAnyQHkKovItIpWnryexrsQJmx0JMAIxKmUPB3CUNbgUmca17bgqtytP31mre8aohdz0w4pHDbpJAZBSDRKQFXynokgw4pQlhxeWFcyCsY/Ey0B2xpxehxch0P58sKM60t0zZXLjH/Bya0sBOWbr4Kwmwco2KWJPNy/p80nkpgzu7qIwRJMK14QmpsdaifZ3KAVwpYu7lytXyovjl5VG6q6+6MpjLV5igNGV1QncXUsXdRcnzzgCe14eXQZ62phWbTdkU7NkA/ALcFdYuPWaNtZlUUSrG82KiJOaeh+o8fagOngfSBZe+sKXJseXASqwmh/KSV4KWLT3JS41LNSKV6sJEYlTqqCSacehxze4RL7/VsfgwcSw+Fj4jAzoRReCXZHZhGlclpYss9ZDLTJ6vLBKsskgrUBaX/bTC2ccCpBWFVEmJKgu0i4u9DPZy4FsOMFkT9AWexCoyzcii/LvcZ3bNHGGUTV6z6Hog8+lINnZBXIVNK1dMeRmxE+9N6vbSslO5csvLVtUxqe4RM1F/Isj33sl3L86abysND8XWJUpNgLs0FD93T1SC0iWApxLF1xEHzwr+9LMtxpEHDS+VJ+Staaq8S3B+4RYkUNErk7eJQrWyTCmPnS73IBZaXNMMJN/3+gGfuq/J/tPu4kuMYpAoV2WYpMkfhNOtSTqWY2IlycLNMsClLbS4TDW6NBYr3TmyUjiAG1HEShmTmyyWKstP1sRU2aOfBP0kOa6lFPJeAuFWljyYDRXauJ5h9du/9RsbfU//56PHju8RoqjpKJgzA1tplG6qh1X2WLHzSj+TpQxjRW4It1FVtvSVXkslK5bf5D0bmVD2uPNHXehu56BUwV3eq6copkp3f9BR3szg6ZBEhvzJJxv8+eemIQhA1VBK01CWurLpOAryBmev1BpXZFLLiShJMRmWSoBaxBKF7ZhdtEKSNv4WvZBKWoQ1bNsUcnpB8ujTPrFwkweMUAjhSmnXinuqUlPksaYovy7XeaRgzy6C7KKYHMmWSy3KFYCU+88n4o1qmcKqHkyyrrGJkcvl/5byCG8gL3ew7Lr8hk17rnnx5/XxEyene/3uG+I4wvd1Pm8OwZpLSfUKKi0lYjWL5/+u9LxIAJTdk4kalDJrV+rAbUV7yxwMhSRRJe2t8p0eShtRKTshSbJKwYy9IzwdceCM5INfaODmrzj2zjv3s78vqLTVydL3LgeaovyiVAVXAYep1jtnTRA2bbhN0sJ+kygSlWrxRPNdrx7wsXsa7D3lgQyxQjJKPDSiVBsCIknhmWSJnwyqJemUNhtYrNPg6WeTKYCkBWmdbMl0t7Tub1iT+uPGyRtTWZ2rLspqaTLx3hp4Kgeb+aK4hiqQQhBFEb1e/w3nz52a1t3eiOEwQgjnJ6+OcsUEsFdro8q/rXyYMoOUWrgmlyyxWr9VtpjOGo9z/V16ngE5q3bLNHgJ3G4iq0kfnR2olEFlfreKUTJGpfIkUTGfvL/J3oOF9pZCOu8776BhzRMomHxdknWFOik9rzYgVzzx0kQqbYSrTZFFCj+MNFddNuZNL+lz+IMBYaJAaBKhGQqBTlL7LpOQZOAQFT7OQ+BKbYd7VDhpYq1NtXh6F7ZI8Qsw0gHfZDKlZFaUwV5eUYp4bFIKV0myqsFLtmt+/ItEkZSAAWFCsGPnoviexNeuIWDVLy351av+yCrgi1UXRh6UTpz0SbemWjlYfixYO3utJHkBvpIFc+dAV2UmL3S3yoLIbIsTadCyGJqvVILnRRw5q/jvH20zkh7ZBK2iaz5dQfIm6OqGWGt7qqtv1eU7dTMmlusi0JR5rXgG7sRo4sQjSGL+xVv7/M09DQ6f0aAiMJpIeAyFQCWFoyHLweYEyDNv3uLm4OQrDCJvOrfYlLUzT9xU2Nymf8dIgbDF6rHaTEiB/zwsvhbQV5sd7jEpWYdCAkYQpcNGtdu9wI0K9nSxeJVBu9qXFGv8sYka6NKFUUnqSFaxXqW5IXdxqqydNyCnrO1AbwqJIqsMriv+dgrmnMmT6l06Fvd0SDc0/OEn2py+EIDSqTUoU3liK753/rx8oiosVbW/1gQ6ZV25eke6YvexYppT3gwhFUms2bJ+zA+/ucev/alPJ3IBgbWSsVHONkyyuh8LiaBQ2AXIi/93P1HpVWgtOXOrLLOZBaDSFgxuS+cutQxtzuBrrXZibWBnMoYJUK/CYOm/K5NtAnEsGIwF/ligfU+4aaqBQmYbvqxxK4ip+Etly3DVUlMCdf6BK57o2sydF8/nzcXFlNZcc6cF9wWgS0yus+1MCkA7OVIFvEqHTGaPWkXoIOIjnwp4z1+3GRvPyROhcnmSNxVPWGIV3Z2vZGVYrw3xakFbKaOZgz5L2VuMMXl2szynLzaamo750bf1OXDc532fdFocFImQjIwLOGWSfa5yAVZ2smzpM2XZ1QzUqVTJQG3dRZ4Ffdk5EmmSypSOjS39rQzQJiM5JvV4QZpmDeauvJ4E/MRtHEIYuQ4nXau5fWgCX6ZdHmuXDVYTF2tcRRO+d+XEp9fNZN13uX4jX0YrEsWWgsx0i+7yloGq2PjVsXT2XgbiEpPLojqw+hinvnfE0jL8zRcaLI8zcDuAe7KYrFWWJ5VVJ7PLyidkDXyXtXYG8swqrFT1lbZeLHf65HXiUqKMwhhNnGim/IS3vmbAx+5vsNhTICMwiginx/NuH1Fo8eoZLWQJuO1Kss+nSkmhrD5F4TQ3KYvngE59cmNZY6VOS2WtW01Mnmup1qKUsbSmLHkegBsL49AwHBtqY4O2xs0XdKOLxdplsZNXElUwrxkBizXAPvGFBQUzZ+9Vtq8r13jkgWW5wcABWmYOiiyBW9pUehQBZsHcGWsX7O01Yj71xRoPPV3HlLS3a2rI5Em13iQv7C+xd/m7r7WErjqw2Anby1ZKaKs7/6ZBp5UoW/jiceKhTcyLrg35tlsGvP/TPqgQhMQKwdholBCuzigLNFPmFpUPWNSf5kFm1iNh3fEvB6BSpJpcuhkvBXOXZEqp7MNkJJaxtc1+VpTRkv6bHGUVjBUInwR9TiClhUkI0N2BoT80jCNLLcCBfHI5uNgvnTiBa0mVij2Usbi0hW6tLPd2NXuLKrALFyUFd2V/TFuAu+SWZMkcpZJUi6cgl849CbyIwyckf/qpFud6vtvvWrpB70pQ7NgwES+s0t1l12gN9p68VRI9JWav7CFaCjZtpeve7Z/jHt32JxubCd//bX3ufzrg8HkJIgIUBslIyNImUgWIqow2+drmUinT4VI6drfWumxnCvgMzNaCEUWFofuZyAnUAb0sXQrpVJUrRZxQBJTFZxMT4BQ5vtxw1VZd0m5IdHZQKzpYrH2Cnm+JqGamqr9HlA7qpO7Olq783+dbcq9m7jVBnoE7n5dtU4ZON6hK+ysLYMcomaBTW9D3I8aJ4fc/1Oa+x+qut01qp72ldF07opi/kn/W7POVv98aTF4+jOXjtTqDWbgWxR7v1S3SizJa125mMkclMcRSo2LNy28K+ZF3dPnF3/cZx9JloIwkTl0VaSa6fDJw5R+sGguozAhPVXtWlCVlCnpp0wAzncKSHp9Mn+c14CL/NVV7sEyMTLwW2V8lj+nKmJzEH2QrRmp3S4F2W1M7De7ptSPWyi8rvRYT4K8AmgLQmQ5fS5MVOrY62yMPKgXpNCWKzu7SXcrCNckmoFaCS1mSJemM6zy4lDGeH3P3Ix4fu6/BOPSgrnPtnbN3HthSua9ibjFxfMgO9tr0XYoxi57DCrjBqqzKsFornhiJNE6qZECPY029EfPWlw+5874hdz2inG2IBCGJhGZIKei3Ih3tUDC3laVS3vw1qUWYgTrNZgpQ6ffLPrcUaa2KtLmLIgVu5nvKylaUGPtiIL8YmU6QhvuFWTOzG2ZkjWE4tgxHFp1t4VHz3LSni97WEPWTH6R81VXAXu7umGBxIauyRIgiRa1KQJcitQNFAepCqmRANiXmLgG9NMw9197STYld6Vs+dX+D/WdrTpoIVxIrMu0tKE2QsqvAna9G+YUtSkB/Hn2SgTtNMWeWXPVe7C26ejhQUaMipUKaBGk00VhzxaaIb3tpn4f2+nTCNP1qnB5324Y5NqyCe7VcsbjkTkHuKejzZoiMzR1oqwwucuLKAJ1hwk6wd2beFXZzdev2i2FvLdYQQBQnhJFxLkq2uWk9sAiVpozXxveaYM+Wusmrb1KDC2z+RVZr7vK23FUGzyYplV/rXH+bkiwxlSAzDyhlUnnMwO3pGEPCn326zns+2nLbs6hJ9qbQ3mvFCmVZJsrHQ6zJOKXzUK3eoyRTcv2dMfnqVrZsHp8xBpNIjHS+uJKGKPGQyvCjbxlw6IzHez6mieIC5AbBWEiUyQZJpOAua/J8aXG6Ivt8OpMBIk3p2xLDp+85tnbn0OZAzzK/aQ41L05zv9DY4nVltETp/1aNfVv7sELqooShIYwMuhEkRLWEmm/dqIhsXt5XYZ7yCZwEcwF0W/lZhcFlWaKU3stHg2WJndI0U1FlblkGt5qUJ9U961W694zT4BGeH3HonORj9zTp9z2oq9Xsndd8F9q7nOCpyLGJ51ng89U43OboLgGdMtALYNu06SAHusyALjHSaXEpNVGU0GrGvOUVAz77pTqHzqbpVzezl0QIhm6tcZ8xa8K1BdgtuGyPKTG7dG/ZTJLIorDKiNQzT4FcyJMq0KvBeKkKkyrLFzgq/r4Qz3MMc4KwjMKE/jCmNojRia2RGB8rnCVkRXHQvyrIRXGV5Y9rgBpSEMsC+LIEeDkRvGXDHMvBZTmxkzsn6QDIXH+XttuQJVkiZeqYpEyudcw4Mtz5YJMvPF53w8Gl5wA+wd5ZwKuEqAbDlIOoCSYXFz8Za56gSaCXq/NMmj3MnJR0KxKnu00hU4wkERKVSIxQRGPNa24Iec2Lhpz8jMfYOB2eVkIRoxkJXNBJGsyJIjq0pqrJVabJ0zS9m3uZsnvqs2c/FymopZwE+mpgT4I9swMLFi/clQq72jWOH4Vr02wGTE3V0DPrtq6Mx+PPBr737cYk7ldmS+XkWahQdxFIrk76VIPMyYL3AszuPVXS4kIUwWM2XL0AuikCy4ndByb1dtkOzFLxUrpOHenH3PuIz7v+eIrE6sI5kQohZL5lSsbUVQYvOz5rs/fXkMSsHNNVpaclrzlP35NNvUqLsUThqOSaXDpvXBhNHLv9hX72B7rsP6W592GJ8UVKy+4LREYxJAVU+oFExnBKFDsZlFCVDnR1Tla22qcBpU2TPEIWLC8qjF5m6OqQoIytHY7sKjyteSDzhae4+Iy1aO0xPdX67GWXbl9RL7n5kn6vO39YCn7EmihtPJiw80ontOIkZM5InlavZh/XKpjK6kgK4JbckVIBlZqsDlRFQKkrtmCW2MkAnhTed6nuRJV6LU8tCd71p1Pc/3jTbcoj/bQk1kNLQV1CIEk3ubKra7cr97QLKh+SUx1GlNW8SzXRML3quKXZ0PwYTmR1S8e2TAZiUuqVf2Yt6+ZiAm156CmflWGptiANM00uqIrIQQiH4lXTE/JJrGu7GiXOXX0RUxRzVdn34kNcbXo1lVe0cm25u+hLK511JQ21IODc+YXvf+yJZ/dr90csCFfTkWmT8vzvixB4RW9nj5MSJT/wMHHhrBVgVoc6Vlnc5pIkf6wAu+yklAPLtBQ2fZ74CX/6iSk+/sUmtqZAKIdOoRFSVvoti/7G5+mYzyXLRcJ9Vr9tqZzjIqYr/aAcaFbnF6ZBZjo/0KbMba0palSERBpFIjRymPDWVw557ojHu9+rCYO4ZE0IrPEYp75xXjmVpCY2RX149j0saXbTlEp8RSplhAsgZQoGK6pZzexcW8rHbjVehBW5G5fj6yJ6uQr+dBc5S96UoaeaMUIIoihmODLpblbuQ1VH1lbOV+nEFR9i0jUpJ3jkxPMKsEtMVAC7nNwxBdBV0dVS3t4uY+78uSySOjKvOUm46+GAP/5Mk1GSTsEXmTWYZi2FrWjvSvNFqTVt7UTWpERb86hVT1Aa3GXe86qMJnZVCa2VJatQlpwVoVxhlkyLs6QhMZrAM/zAG/s88KTPXY87uzDzxpECYzXjJA06ceAWaeRocx1A7qg4Mk9rxQW5bMmBbjK7UFS98FJCUVSck/x6K6RtmRiEWPMIZkmncqdQHFt6I8M4sVhj0UomTiMpNzbY7YIrUoDbVUvK87J3pRG0pLlKqfmi7qQ0U3qSuYWtgL3Yvq7IVsoSY1cCzEpSJykCTB0xGMMv/9EUR04HWF3sllzR3plEykDNBHOzGsSl2LI4DWLiQK1xiiZXx2pGs1x8VdbjaxRlybTiUJZZXCESgxAaGRou3RLxf/9ghwd+OqA3Sr+MkfnnSqTbizPT2hnA8gsvrbPOg830H1hhqwBPrUNXKej+O5nKkAwb5ec5RuxFymdTHF3sVu6ISixECYh0KxdrLXp2dgalFMNBj8Vo5Lo0IJ2ym2qgicCywt4TJzp7P3NEVrN4dVh67iuvFWTKdLu6UkIn22ypDG5dcU1Ku/OmnrfWEXECv/ORFo/vq6VbkmfMrclqTjxRlSXZY1VurS75LdyTrCxUXJSvV/HQhK4sGiCKZdZZhbYKbFsweB50GulAnkiMSO9JKlWM4cY9ET/+nR3+24emCZOUxSGPChMUY1MKOmUqdDPbQroA1+KOTcbkjrXTn6dgy+UJhe8tEfnw2Mlj6mKGFD8p2DOtf1GOSHFfTOe1xLFherbFVLvtBv9cfu234QdNzp16mqXFzyCFzgvUKQF48vevZvCylpqYcpqxezkgyre8KNuEtlSLUrB2eY9GlQG8JEdkWZZU7mlgWUv4/IMB7/tIi87QA7/wvBFl56TIWpZLecs6vLA615hBWAnLRP66Auk1WHsV3itAL0a7WTkB7HQ0Qr61Yy5VnI2YSIW0xtWrxIp2zfBDbxvw6LMBd35FQSN2aMsKsKUgNpIRRYBpJXj5sEpbYrGCyTOrMEv42dI9A3RWTivTeEWUGT07fjLT6wXYoQT4tQ5Y9lZ6nEbjhFe+9GZuv/UFdLo9tFIarT2kVBgDsSktJxO/SOT/ZyeWkAlJUgZ2NgRdZo9Q7K1eZXFVkiUO6OWddVNmF6W0e5m5lQO6LFUJShkjdcy+Y5r//uE2hxY91wYvStq7zN4l56cC8rXkSUmJVMcUl4/TGrcsYJqoRSlYXOT+ct4Iga1u2VgOOivJn9Q2lK69TWRSRVgnVSLL7tmYf/H2HsfOaQ6eFlhdFlgCpEeSgrxgbpEGlcJZgiZLzafNDznQRSFNUj0uKVg9B3PWDA0VoJNU45uizsqWrq2LDFgWIs2fgFYa3/fwPA89Ct3ss05fMb+iaNSLzYWqRS62OKGVE1n9t6uHnhe1JqLE3tUAs0jkiAnnRMqqLJFy7WROxuZZY4OUMX4Qc64j+OX3tvnY3Q2sl6Xjy+wtVrF3Ufe9OiU/GUyWgyPK71WWuyrgV9lodvV7kzUpVHR4VptSOClWlhNA7hg6Nk+DT2GIE4MnnavSGUt+5jcU51cEBFXatWhiKxlV5Ikoxg6LklyRoExVhyPSdjaTpe2rjw7oJTK0onJcywSbafb8mNrCNy+TiUSgtGBuSjLVlNR8SRRI5GCkCJPg3EpPf86I9SRxKaOUSog8bZ5Ji+xe3nlLloPCciEUefax7IioStJmdYayvKtuxQIsOyelTKWUCVLF6XNXaxJi+OSX63z+4UZaa6JyYFfZu9g1uDxvsJILYLX+lqJMACUtXmGWiy+tFY+4DGgy5hZF6cTEiOWs0yfLcObbW+fVhVnWU5Z2BnYVh8JKXnvLiDe9eIDvmhjBlO42wRpLbGFkYGzcWL/ICuJ0lY/ToC7J9ti02aiL7P1sUy33b0zpsbxloUk3GXZteRN7d6a/35R+d+F5F8eqWAoNl25fz9yU/tzcdO3cdEujfvu3f4vv+Y7bV5p1u1Lzwn88HJxHK1WwVx4ElpoVRLFthSj3TOYXQLmXsvy6Wsst85Frkz53qbZbWjf4plQOW2HuUkd8rrt1TCINn7ivzv/znimOng3SJoYioeNqTgSBhFqa0PHSMXDZbPEimVN6LqAYKVdsq+Lel+Tbqojq8CM3FElWEzeZUzd5Lwe05TKGXDaVfHnpxj7I3KmyE8F9duGJ4oIzltl2wlWXRZy8oDh4Qrs9J3NtUCxFVrjNQIr4opi7WJ64mFoOa1zHomJS5JazKFau/L+xpf+mAtzJBNDq5xYYj2O2bdtJUG//n088ffDBV77ipW6PnsDrobRPLRhQ85M0MiiPI5vU3KUtmr9acFlyTfJt5kpB5Zr7npeCySLIzBg9CygL5s6AnT16XsLRBcn7/qbJ/kMBtFTexJAndtKkjl9i7wposucwEVxSpOnzE02uDSeD8CqTF5HTmsElAjeMvsTuJRdF5kmNVJ7g0vdSkFqDrma7cFncTsSZDpci68rXRGPLnktjfuAtPR5+2ufYfObtVdZ9rBHEUjCyOF88jf5s6rDYVPuS1czgLqCijhyEEUUSSGTvpcfVlrV5WnacdQgBq2bt2ELXl4+3tTCKLCuDmKV+zHgUAdkmVK1r8bw6siMx9hQ6GzBXChIzsGYnq6y3YW1gu8jYUi6kKu9pXuyxaCpZS1mSMUWQOQnuMugTlHDSROuEpZ7gt/68zT1P1IsqwRzYhTTxhWtoKDzvoktHiQlAU329alQEpaNdENHz3srBZYHyIsisjjlLGdKkgV4mU0QBfkr2oRCSRIAwzhPObEMhlLuMhCEZGF5545ifeGeX//RHkuVh+jkysWzcc2sVsRGMBHkhlk21uJXFZ1Kp5s7/TUl7I9LAtER6leTOJNBz3V2qDc+WgkmtnlqqtUBz03U7ednt19PrD9xXAfBqW9l8+dV3kiy8q9nwXfFKeSksZRdVBYiTxVDV0taCiUvBoijJEZFpaVvR2Pm/V+Z5wJ2UHJMioTMSlt//aJP3fqRFL0oLqTKAp7rbze5Lt99Og8q1SmAns5eVKL68klM6GaUo/6vgu8LkqwuuSnZh+d/k+rtI3RdBJzlzWyPzLqCsvS0b4GlsNjhI09LwI2/r8aNv7VE3MZikpMVjMBGYGGsLTR7aCU2eau64sh24yLV5djfZY7bZVklbF152ob/LP7OpVs9t0ez9fKWzaF3j2In5d1122eV3Xnnp5gLgl+/ezJ0f/JXBhfnlo8PQJ0lrgMuVf4WcmAgqxQSo0387OUZtMhAtMpSG1Z63yZM6eUHVmuDOspUxUsXgGZ477PGXdzboRulkTMpBpXIAZ9I1mbiYJ1mbNZi8BO5VDC4mwf38UC/a1conrBRo5kAuJErecFACvcl3MM4Cz3KQKTBGuVKM9G6NIo4ULW35ntf2ueryMTJJwCYpuFOQ2wRMkoN8nAeegti6QNIFnQ60cfY6B/pkUFkKREvgr9xLoK8EmrYITPMJBCkZTU/59Pudoz/58782aExtKgAOcN0Lv50bX/R21m28kjhJCnCvYuWiXrsAxIR+LgN6wvKrOCSVHssyUxcuSRZQOjZPKuCWJebWXsKzRzx+/NdmePpggPVkIUsy7Z2yt5/OOSnPOJncBnDVDBdYJVMm+y3FGgj/Wlh8VW1zhbEnalOsC/qqwzqrXfd2FbMXoM76Nx2LKxKrMaHi+ssifvdnVrhm9wiiMriz5ymTG0tkYZwCPSwBPXNYKsA1RZlvBtaK41LaOrHC5CWg2zLIJ+5ZIixJEm649gp+6Pu+g+/97jflxzMH+OzsNOvmZmk0Ardklxg4G8UgL8baa7gjZZkyWVuS62eRglqU7cCS5hYpWwuDFEmhtzNgizgFt6FnJb/30SZP7A1I1EQyR2a+t8ylSWUnhLXYuxRsrqoezNh7gt2ZeP7VEG4ngF1G+GSpaDWlX65LKZi8AHMB9JyxS6PfcqBblXblK0QiufGqMf/8LX1aMoE4Y/HyY3pPLcSxhTAHeWofWidZMtCuYvIyyCt3sYrlzUWYPf+9SQH8xFg8P2BqZpb21HR+XPM2YyE8pPQPeV7jcL3R2O3JvpOv5ROWZ5bIJUw5sJRkFtXFnRMhisrAogalALgQtsLk7mdJlf0zwKsE7SUMDLzvY00+/Pkm4wzMsszezo+TKbizrGVlkI+sBo5r1ZtMShFR/b8J5+RrU+J24nleM10KNDMdbiAfZVyejW2sSAuabFqXIpFpEkhYgTASIQxCuAsAa9P3XK+OEJYksfjC8vbXDNh7XPO+j7boR7gDZlIqzB4BjCLORkVQCn7TR3Ad95UB+8b1GpRjapml8jMCyU3HIvAsalTI7UXSvysMxEnC3HSLdrt5uFELDsVRtJrB59ZfwpnjX/rczEzjAxs3TFMPxtSCBN9LKuWqBTBLVl/qhIiSXBFiQncLU5EvVSmyOktZcUhKhVRZIierM+mF8N6PN/mV97a5sOjltd2F5i4yluXAMhsrnBdVUViD1UzsGvLkIs/zE0PB+F/1NhFQZsxelSqiwtpFRWHJRswYmywZUhoYZItAMwtAjVGpVMne18SJYtOc4Rd+sMM/e0uPVhA7mrRJKehMStLF1V+H1t2jlMGzgDPT5bFN37eFXFmTqbNupZKkMaXvWtbhiYEwgVEk6A4M7el1BLXmBz7+6fs+t33bltUMDlALJELWPr153fDNgyC6YTROCCOPKJbuj5c4KfPAy0yd6factbPXKcCLC8OBt7gISsydM3hSSBRp0rqUAtxKJcia5eOfbvCr721zbtlzQ25y5pYUKfnCFtTCrva9yyx+MeYu+dyrwJzfxVcj7K/K5uWulVyqVOrEy40QKeCNc72cPeiSTJWRE0LkjJ1548Kmd6Py1xhFNLZsnkn4hR/qsthVfOBTEmoZg6fBSFo5mEEoMYJQUrUxs8SPSSsPZeb/Z9sUktuhMv1usnJc09EW1hbFWKXjlBiIE8EwgmFS42xXP9Gs1z8dxaPKMZXlF9sufwOf++L77//8YwuPjJMurcYQpcxEEVU5qWMrMkQJs0prizVckkpKX5TBXVQFZhZi4Xdn4E7dk8Bw6JTm/Z9qcvaCX4A7Z22vFFg6zZ3dM1swe8yHEpHZg3Y1eEu+LaTsXD7qZXB/bcT9/EDPmDvFU7lmJQcvhVwx+evJSVhrTMcyVS2ezTi0VmOsIg4lm9clvPNb++zeFjqqtGsweKbJ006a0GS6XBClWjxj77IWL+9gkQeYdjVju7a0sltUJgG3SiwOIWiPeeE1px+577EP3/+93/W6iwMc4CuHbuDBQzdx5+MzjKPETTI1Mu/ucSe7VPJauouKXTjppFSzkXmAOdFulutvleTyZFXG0jccPqP59787zd2P1qAmC3DLokMnQ24eWGae/SRzU3VNVs0gLE3lqiQnMqYpAX3yopiUMrn0mLAFSU9kJT1N+aQWlmFmEeZOiSkPzqeoU1k1dqJkI5aCz0yyJOm0WmM0yUjy6heO+KUf73DpltB1EthSwGkmnBZrMGnQOSq7KyX7sPDCJ/1xUViHFb88lS3ZsckJiLylsOZFvP0Vhp9423Z+4m3bVpHFqllWP/SOb0MqFX7hrhWePniQ2baf75bgeu3KFYGTwWTxfkVylIPKVKurTLOXZYkoAVwUGrx8V57h2AXNf/jvU3z4zgahyPzuqubO2LsSWJaTOqUgudrUMLljQ/X4VDT3GsC+6K38wwn6zgAvSs8r/y7LblYym+ULpAgwXWaTNLhMmy9K3T9COImSzR53mU4nUYyxCFy2E2Opacs7vmVAYuDf/c40x+dFiphS4Lnqu0hiSNP4lFrYqul6lUWPWZBDee+gakzrJlkUAavbYQ/qvmXLRsULdl/Gxu3vCOM4Bn7q+QF+2Y45ZmZaP332+DVXnzjUfaWSHdoNBz6hCllSuCiFRMn0tagAugruLOAsg9u1zaWPq8Adp+wfobXh+LzmZ397io/c1SCU6dZrYjKZU0gT14Zm12wenqwaXLP+W6xxz8uOSibKpED/H7xNkHelLrzK5BNaPAWAsCVgT5TWZqwtyq5K+pccoHPFnLoq7mdRbPFUwve8bohW8HO/Pc3xeb/YJdaULl5Z/i4pyCHV7eWroGSDpM9tunFVde+gtEKXdGcJioSOlC5BXffh0s3TTM9ctE91oQAAKJZJREFU/UX87T9t7WDVcV0lUWZn2zz84N3dDesa+6fbKpGl4YuiBOqKW5IHaCXrr+SgFNbfxGM5iMzALSeZ27jmBW04syT5hd+Z4iN3rgFuKSvgRohSYDnhe5dqZypzTibkRz49duI+GUsWz6s7gP2PoLsM3gzkZeRXG5HTH1lRlSZreORrOinlBFBZk9vMG5dp1lMRJwqdwNu/Zcj/8+MdNs9GqbNSZDhXa3JTZD1TTZ6V12a6PJMhsc22LC/ky1ruSRZrVA6bgTCWSWz8/Z+9466uX2t+dYCDO8km7v74+jnvqcAvarizQT1VVi63n62hsdey/iY6chyjT7J2nGcppUpINPzhJ1p8+I4GoZJp40KZuavsLUU2nSqb7b16b/nV3Tp2bcZeqz2t/D5VZs/rVb52fFezmZNJnfwHorggJu8U2jwPOtdg8Sz5Y8ugt2X7MKtXScFuFSaR6Bje8foBP/TmPjpJCvswA7mZSO2nqfQ41eQjI4q6ckOhz/MAs5TtnAD5mmn8rPtM1p5aXO7++OTkh+cF+C0vejW+GidzG3Zb3xN4Ot0pQZgqK1fAvTq7WVwM2QViSro8swrLF0HB2k6Hx0hlEBo+d3+dD36uwVhOlL6uSseLQprkerssR8pdOkX14MXqT9Zi60pHExNvrKHZnw/Ydo33yj+r2INMglmsKV1MnsYvPHJTfp33b2bBZjqpNmV0a8tBZwpyI/ATy3e/bsC3vHiISEzeHFFh8grQ3bcxuU/uCrQyJl8z2HwekNvcYxeEsZNC1159me32w+Rb3/jaNY/xRQcm797zEpJ4+EE7eubK8bDfJHULcv96AtBVH/trA3eepVRpZlIU7ykRI70EqeFv76vz0789zXNHAkfLq4LJqjTJEzqk0kTaNXT3pDQpAb+C2cnZg1UwX8wT/2rgrqB54r0KY2cDmFjN2ois0IpiXxyb7pOT63A7ocHd7xXGzZ0T1iDSeYfCyLS5ofhwItXlAErEXLc75L/+mxV+SsKnvtQAFZPPWK5kOrMA0p0bYyHEyQrkhA6v+Oqi+G+zQDT/ncX3DGPYtHld/5Uvv+2DrWbtoodYXuwH07Nb7ajz+G9tuOTyBbdR6mTHzRoW4NcC7rIUyVrOSnUmObi1A/fH763zs//vFM8dTcEtJxm7Cm4pXANDIU2oVAxOZilXdb6s9d4qa7DQ5mVw57evRZ/Yi7+X1aEUwF79elXlYSkxlGcyJ2VJ1spWGuRZSJfVNSs2lSlJJlWMwoSKq3fEvOsnOvyjlw9czcoqTT5RkWgcmxsLUWolrmLyySrDEpMnpWKszD4cR5YXXLtn4fNfeva3Lt259aJphecbeU99+gVE4w5WPIawXVRlhslE8Jg+z3zyMrhVKkUmNbcSLrCsMLcsZMnH76vz878zxTOHawW4K4DWlGtNRNqh41HadmSygZiLeOCsAXgmWHnSPnweqs4TQV8D0FcFllTly6rGB2uKuhVbEH2x9YgovRY5sxdui2NzY9LPaaRzUaSzDU3q/4nKp6H4oBFctyviV/5lB2vhk/c13Ptld2XCWXE3iUESsTaTW1PESpkVafPaFfdvpXGGx6Z1TV56y5Wsm5t63sMrn++HXn3b2KL++fTs1n4tiCpJHCHXAHeZoXPAFpOnLgpuWR714MD9qfvr/NxvT/HMkaAKblke+VC1BDVFnbcuM3cZ1HIN12RNK7AaXK6qEmRiB2hRvFf+N18DvivYqYC8nAjK0/YpGCrOSVmnVzewKlcaZoxt1wxAZf44WXlYsHuhy5NQcv2uiHf9RIdvfekgDTQnHJUKmzt3JUsIRTZtaE4znZFdrcuLDXGr1Yf9Mezaub2vtfzne3ZvHj/f8X1eBh8P501zeudDw/DVnb0Hn2vu3Og0UdXqq6brK7Ikn2uSlAqy1ga3TMc9GCX5zAM1fuo3M1myliSRFebOLEFvQpqUGzAmve1Ky1k56UOVrasZeLEG2LMaFcFaQelagedawaX7gUjdh3KGcw02n0hdZ+8b+/9r78uj7KrqdL+9zzl3rKpbQ6oqSaVSlQpVCTEJMyQqMoksBZTVAmor+vQhvcQWFBWxX9vSdNsito363sKWFkW0ey2aoVG6ffICggqESYaQNvNUISkqqXm44zl7vz/23mfvfe6pSlWmArp/ayV17znn3rp17nd+59vfbzJa7hGTh6v9PNTC1bGMUYAy6dHlX0IUZREukDAHlApqYH3yMrCis4JvXzcGzgnWrU8hAJe6d8wVa50D7ck5JfDAjUOlPs7VXVYOsxXxJyzvYrjmqneMdXd1PH9geJhhGpvWg7upFmSzDQMHhnB5KveOymQeluKhU1en4NzTgVvq27rkjIE5FL95IYkbbq/Dpj1TgTsS0KGmamK2fuBhXaVuoMmtRSStAroGtkVPIovJ8GswXmPZbDTCCIirVJWoDm6B3fDCamlo8nCzEshUUEKvbYb7tSc3lRVrAG0oHVKtsJQoVnRUcPsXRnHuGUU4YXw9pioo4skhPbPi5H7oxe0sRD/k7AQe8XHJOSdV6tLly3N19QPtC5unPa/TAjxXk8LwQC+Wn3DCvlUnLtuZyyWQThSQ8MQgJwViYlAUKG8OboCfGR6bhTklVOabEIeBuwTrnkvic9/OYevuZEzyVHXpmVpUJogtC5qTiJ0wLVYDNaqekOg+aA4dV7xg0WsT5LFoPzTeozp4CHgVhofx06QesL15NIXWpipqsWkEiKJ1m4qmhM8NnTwSANJTlwXIe9or+D9fGsUFZxbhqEoEsyKIxYOcc7MIghjBIPGvwghKAUHBJxjJcySydViwaNXO5uaefdu37wEhqWnP7bQABwDHcZAoP7CnKTfw6SVdC1GXHUYiUYHrBuHiUSwubamQGNFKFX53InkllIjcEu4Cjz2fxOe/U4+te5PgU9KSyKKSwKjQEeAOlRPYoXkSBTpiPLapmEQXnsZjC+wRWIa7DZlxWmDHgVtKeeYuXfigaEwU5AQwvHnUa1sBoUhZm5WBaHBuHq0C4o7B1x07IFQWIP/uDaM478wiaCAjOjzizZkfC/KK1Mmj2rji6qM+wevjZSxd1oW9Q4VP3/7zJ/YQ6uBQ5h7qgFzjInA2ApBcn+Pi90HhD2ejUIQfJBAEYlWschmo6blNcFNDBiRKCgzgJAL0DjlY/0oKN99Zh629spZyBuCGBG51QEe1qIh4baDaU0vQkwjwTU8dmsXJ7QVmldJiXwMxF0I82ENPTgwProBJ9H7V6BLGczMZS8jIJsgjXBxSK4eo+hFze2R7Hwq5TfwjKqecUpl7IkElK6ACWSfgAOAVYNniCr5/wyi+fifDsy+n0DtIgEREH6ri5SJn3YeQ1FWfcgIB+CIHSiWGeQ1ZnHtWz+8/fcV5fcNjE2jM1R4S4If04ABAaD3Ko+u2E9ry/Yq7BuXKJBzqRw5St3tFTYKQc4clZia4Uwxb+zzcckcO1327Hlv2zBTcAkFhngm4lWuiObftvavK0KJqCox9iITgTVBbaDVvBcYObj+dFtjmsTHf/ZSRzggNieazVFXdR7k4m0pNQZUnFym1xjZFV6QnZ8ygL2WKZe0V/O8vj+Brnx1Fd1tJVCdzw5szQzcPPbm4MH1olVFdxn7A4GEMH7zgRDQ3NX7/Z79cv30m4AZm4MGVJbLdgFv//MG9+YfK5f7LGvh2+IErVrqyt0nYNkwlUsWkvDokgJNm2L7fxS3/WIcHHs2gGDgxOncMuKmdRKWKh7UMqLRuu8/JdD0FLa9tgjqC3+rwvIntiHRSBeyZIL36+tAXQTQyCTMtxQK0Ts5icpuphVOtoRvbVYMfsR9gjAlPHvbRllFPykQEFFx8V1JlUZ5cGfWB1voAH3tvHkmP46/vqMOOfQkgKV8H2FFPSHoFOV1EfkcuARxwVHwfH7hgCT568QkPLVjU83y+MDxT2M4c4MRbgt8817+niAuu7/RedSaKY5cyvwTX5Uh4vlTujZTYKLBVRU6CY8c+Dzf/Y60ANxwx8YlMB24nFtxVDeuprZSEoFegDUvSYpKqFL4IqQK5CXwL2AZurdfM1DimuBgiud8R4OvFpgrZSyATe5Ep5l1q+hIGeggP02tF0a8JdjE0S8z8kbdDxsAphcNUhqy8KmJAHn7GEpB0GS6/oABw4OYf1GFnX0JE4YzQe1hFIgZshqsYlwAph8OlDK21abQ2zn/47DXvvB7Y30tI54xP8YwoirLzz2zFafPX9zYveOfGvN+N0QkPlUA0bgxTT0Ngs2pwpxh2H3Dx9R/U4v51EtzuzMFNoPNLXFI9JIqQQ/Q3QcxjxAA95tio67YcdpX3np1OaAKXRzcYYAb0AlRX30d1cZtuVKkoajGqMg4NVcUqbQu71eogkH5vQ0qMoSui/M1B4FOkOMeV7y7g5mvH0NFSBkrmQjO+KohL3Cddjhq3gjUrW3HpuWds/NW6l2YFbmAWHjx8QXoRcvVt39r32p6uUnH4Q4z1aWA7JqB1Ux7qBKhwjmdfSeEHD2Rx36NZlIkENwzFBGYQJwJuYkcqzZ4mquurI69/vWCcetLydCDXQIX9JKq+RMEdB/iZgtwEc+ixjcWkOqZqAUrkGG2DyoTHGCF7aClRHUDBwQgRzlh0vdSeHBSUs7AHuOLtkItNHfixPbnoHxgAXHTWRSVAwmW48vw8EAB3PJDFS1tSKAUQtw9VuiPPLCcEFU4RyA/c0daI01d13HvBO0/61s7dr836vM7KgwNAU/NibN746KiX6f5Uro4+mU5yeG4FnlsRA1fD4E1FDn8KUODA3b/K4rIvN+LeR7OiWEFNWjBD7yoVVqXDGp7bhaQmFHZedySIY9ITq77SBDMiXNxURyJee1pPPo3NGuM2lqvzUMLnuj7RlhBJzELTLBaI18N1/SZ0sCdmAap7jOtgkOXJZQMhFkm1DbgD33fgMYIPvTuPX/79ED5x8QSy1MgjD3sgVoDARzngmPSBCnPBnfSTp6/u/NR9v3hkdOnSjlkDfNYeHABWnnIRxgefywMfKA/2/hMSzgEkPDunxHGEDDjpE/z04Sz+8s5ajIx7oqH2lKmuUbVEe24FbivPxEiDrS494yHv1mDm1WA1n0fwW+WhY/i5JaJEADsTkIeUJMrHufbY4rnwztZCVG4jinsTzclDVBMjj5xwVKksxFhwyjdWbRxCj80ZKMR4lNB1W55c3EWoqjFTnJwDlBGABkAAODTAvJoA3/zMGBzKcc8vVXMh6OJLMHAeoMCA+rZ5uOYT7y/3T5D8lX/yvsOB6uEBHABqGrvBOXvu1S1r1y5I3ptuyBVEFiBEk0ZKGXb0u/jFb9P45o8luN1oLkkMJTF07qjnjgO3nTGorguDqgCxi8mpKAoi24zrYIqIvPyfxE9XM3NWLGBLcEUwrZUQC8gxzw1AhzSFGzQFBj0xPThMj25nHwK256cgkoaIfJU4kKsMQKImsknKwSkBlUXQog+KSvby0ZgN8Dd/NoaUx/HwExlsP+DJ1a6UDR0fbQuB6z6+rLDqbUufo2TWROPIAU5IA7b0Tv6v5rZLec5/5QtDY8+kRkoO6jLAgiaO9RuTuPmHtfjtKymUAleDWzXlQRTg1AK3Iz23GwduqYyoaGXUc1Nqg5rCrqKPX1SSWJDbEgu0Z47l6odvkVCIFeUMPbMFbM23jW8FquMqCYM/EU9NpKMkkIURqPLcIV8XkNYgJwxUzuQUQGYghAKUgzLRgxwQv4vKTClinFQu7yaoBGjIMPzdZ8bwnreXcPOddXh2YxLzGxlyGY4DYy66u04tvv/CC77bUOf/JSENxx/gALBscZbxybtuHjzYVbnvyeJND/76QKKjrYgzV5Vw36MpPP58WgDbi2/pIBaWCuAacUoKdCBHihDY04dhLBgR8cqkulDYkvoimK3y5LBpCYn5FwV11aJylkoKB9SMr5gd9lNetZ1YXpoQtY0hrMyP8HAi30Pnu8hYC7XlSXGYODEK8IKuaPpCIdpNgIh4iOicRQDKpHeXXhwElEhtnlA4foCk5+OiNUV4DnDfYymctaqMjtYAL+1YUd491n7bjd9/+Rs/+trF02YLHsqOCOAA8Fc/SpYXLlh669NbEuX+sVdvWXvyNhpwjtcPyoWjZ+ZwR2gIbK+twKl0bsfIL7H7CdqLyrhqeVM5mdJ7x/LsaspieWuTtkQuhPD13D720OiGXmQSvV2sGzX31kKL0VLC9Ogmx7a0cWLTEkgvLn+PKm9gnEpuIsDpyOg8lW0dAJ1eS0HB5XRl8ZFF+wUxfkS8OSGSm4c0hYpgEgnk+gFI0AoWtPhwCEFvn4NzTmpip6xYdEsJiX8gfE/5R187MnwePrmR9jfXfwwNHi287+y3PXTbF0/mn/9IBeefWUZzPSAkQBcgHuwBUB7MvoEK3B4xI5Q2uE3OHe1vMmVW4HTcO4LMKD1RO/Xx9pDXOEJ+NNgKn2KDwn6YA27wGGsbiOWBq5QVlVob8nGtqUfVFqvHODMVFao1cpVOy42G+9xIsQ1bw7kIAqG0BMyFz1wEzAXgYGCE4olnMvjW3QuxftvFvIK1Dw2NZAvzl1x7xOfziD04ALzj5HYMTrRv61mAa8dG3vuDn/zicfrCziSQdAGSAJwE1PgQXe+FENgOEI7zE4EcrXOH4Ea1555qm/oNFBHlxPgHC/jGoKMYD22WqEUXnHHptJGHM7YQxIgBugSeGopqenciVRPltdUdRHh14VUFNTAWlgTQHbOIblTFACalV5WYRSEVFia+Qkm/ASImxwGiqSclXAzCIpCem0N1QiPgckYQA+UclFOAE5SKHCd3lPHxywronbyYkcwp17Z0tG/rnxg4GtA8OgBvX3ISWP7VMkmfc9df370j88jzq27PT+4D0h7gJAHHA5GjQ6xbPHRqq4pOUsCoyJkBuBHjraNgRownhwHiGI5ufk7xel69Efq9w8cx+2eNdiOgo55yE/3y/XRlvaGomAtQREL91n7zvXVISQGfyWbkAtwa5FReAJqWsOgaHCKnlMuLzxzcykGIAxJwUErFlGXCkXLL+MyfNGK4MvnFq39z6l3Nz+4K3rNmxdGA5tEBOADQzCq8suX14JoPX7njhMVPjt/xzw/UbtwZIHASSDoih0SdRDMcS6DVkGj9ZKhzIx7cKiswSkmqepzEgFeDX9MQwAarbdXDpQ7V/9ts8WbZNIlVcQtLg5brfzIpKdxvAFkcbEuHgMHH5cJTHmZ5cCYjnASyIIKKNV4U5KDQEU/CACI9P2Q2YJgjI5yD0u3Dc0NccFD4QRn7Jhegqe2K8Y6u83asW7o3IF7X0YLlkXNw0xpzGXS19T589RWnfvZL//OSoa6F81BHAjQmGHIuR9bhSFGOJOUy1VXJf1IChPbkIefG1OCuGjFigIFCg7/Km8MGdHRRadKWEPxcH2+agrCFrbiTQ6bfH9uZiR/ip/E4moAVPjc0bliLTaN/uPUeZh6LSpGNbDMioJqDG23hDC5uHhMwirLvolROoFBKIp9PoOi3Ich8dKh3/D2f/dd1hYdBZpYGO1M7GuuiKnutfwzJhPfJf33499+699+eaB4cGgUDRcEnKAcEZdnfAoh4bOjcEpU4RWAvKFVmoDmslcBecFZ3sIr5GRZE6KnF4e8kAKHEmpWppxubx0e3qYnGQh6jlOjXWseoCckIH4fb5N+mJ0erz83D1+j+M1r3VxOpVUalOYWDUFWfar/Omshhvi5ctNtdy+KHHJjdhKu3KWqnQF7xHZQrLvyAIJmqw/zOCw42tp3/FbDKT4jTeNSxeFQ9uLJFrXUgvPyTP33/2q9eet6JB1tzQMZlSFAzB84GZhy4o2pJFbiN97A9dbVciOgxMLw0bK8eVUSmTcSaynXPwnVYFfQElqIRd6zywNYvMhUVk1/LB5raEL3PVEvC+e92HSczlBN78FWksVAkG9HKXhT6oRw94qBQ8jAwkkXgnXGwruX8r1bK7JiAGzhGAAeAeY05PPrY43e1z6+9cdWytiFKmJiWywjKTFRIqy9QcWzlwcyq+KrEqgjnrk6HjeSbIF75sIqKjYWoALfmKvGUpPpx/IbZmSn1hdtiErAswCIC5HAfAQyg6jRbDeQw32WafipRkJuFySyyTddymg3rubyzMHiuKIAp+wBJdAzlKw03vvjCk3clkrljBcNjB3AAuOKD78fIaOGe9sWLPrews2O84FeQDwJMBhxlFXlDNCvQroq32xzHZwyGAKa6xhKY3nubMDKVjykXmzzyopjX8Oj+2RqffrtZ3kas7USDXB0QuQNEPTOMCyEMzZuauNoXghwGn7a1cZVhWKW1y49CCUPCrcB1C2C8iOaW+eONTQs+R5G/56y3v/eoYG0qO6YAB4DNg5RtHq6/95SVC67+/Idbi6vaDiIoBqioMirFL8OfEVpiUBUdmaxWSszU17gFpbkv9qeBjWqvbeepqG1Rs2iOuXEKm6rlb9VxxltFG/5YByn6wRG76Kzy8oYXDx+bMzbDRWr1ItMcOBsN+JgURRWj12TK+GNvEc/tXF2q0ParT11dunfpouEjCsPPxI6aTDiVffemD2HLSz8Nek5ufODe+/PB4nby8xe2H0ixgCMgQpKyRotEF4rQCy1T1agCt9FQU4Fhag2chMeENgUdITGoDZ9yHJnHnoXxyO/iMb9bgTi8EIgxFkSBVYbRFfi4vPKFeCj5MkSuCaXmO5MwZ0accwLGWHgMU0cxKlILoBeyrhOgUKRY0HpiqWPlR8aT6c6nd41MBl2d9cf8vB1zgAPAslM+gZu+8y/BXu+cB0/pee7jdeng7n9/ak9mPF8HL0nhOUwrFlCLTHOGTjWwldetSrqKem9SvV3tC4+xntvN7qteAHub6fktLj9bi7tYptLEQw2chGAKE62kHh6CHAjbTKhtgK4CAocBa/MP43LALFequKjWkZ9HtJ6QWSzGXZMSgkBGRwk4sk6AockChktvR03tCVf3dC1eB7gDDMeOd5t2zCmKslu/+Kc4v/4F/hfXfeO+r3wsffUnL2kebcgGyLgB0q6YXWkVK8RNQzM9PLRiEn4nppeOcO/wq4vSksgFAQBTcmGQGTnsmVIP651NIm/q0rMwRSmq+Te0Bm7SGC5OhMnFtYwTXXAqOoJI/olRs8nVWECKUtlFseRhLO/hlb3LBvzaK7ctP/mq3aMT6CeEBM5heYHDOK/H5bcYtn3DN3DDT9didefwx3k+/w9bN21q2rV3GCXm6CCNuehExCtbXlNNfrO9tLkAtZoAQagnU+nian90dKClbRueSl+E8jEVQ1i1bq6OidfBTT3eXGRbalG0r6LcZ89FMn6GY2ZMR2HOVjJ+hrq11rbDxDUoR8Ctu5TO7Ylo4vK9lE0WKHzejM6upYPZGueG5o5P3gNwMlEEr00fP9gdd4ArGxoageu6n3r6madu/fmDjzQ/s7GItEdj51haEiCq5WbzAoiTD+1tOkJpHUMj+03whheJDXAdhIkAXIF5FgAndGo51GxkRGj0eXUHXV30YQSDFChjLopoAAjQrzUBopi4HW+wR9o4DgMlJeweaMKCxR84uPqkNTcFgf/jbM3xoSRROy4cPM4aG+vB+ciPL7rwLEK80jd39D3VPDE8CsdxAGgv68gvUVEPcxElvgn9nqR6U2Sb/N+kKRaFMfbP8u+xjj+CxedUmYRTHUtieDaM91B/t2LS4JpTmyVz3ODiKkcHRsWQOt+qRYhyAmpWJgXgMw4/YMhmc2hefP7BBZ1rv3pwlP+4ff7cgBuYQ4ADACH12NtfvKun53z/z6/K3v7w//1dw/beQfiB8HCOMZmYGCfazJ2IVUIiwJ1ucRl9fHh/iP3eR8NmfY1EE7i4uBuB677batQ8MY4JLwRiXASRyyzaxFOdU8o5ADXWhsFnFIy2o3HR2cMrOs74MqXBT8lRzi2Zrc0pwAGgvTUF3y//7JJ3nza0v+/1pQsW+7c9+OtnveYs4HoErqMBHrYIZmrhJDPXpvC4IY+E5t5xciBH9bZD2pyRu5l9OAKdNx7evbjudKXukjaoq8+dJCzgakHJVIagULo4J3Cpj2Q6j9bWsyujk3U31reu3RGw9H84zpzDa+4BDgCum2CPP7ft4cs/eEli/Ytb8o5L79jw4ssEQYGa/JVxwA94OKBI52PYt9sq72x6ddgHWd6bzALox1EDn5EpiVA9JNZmfVhERlTHKtCa50xRQ86AAARBQOD7Qj2hhCOgHLzC4SVqWMP8M3h9c8+fL8qtuLtc2FVOeKvn+owAeIMAHADOO7Mbv312U7mns+VnQbn0RM4tXLFv/+t/u3P3fiQ9BwmPImAcxTJBscLhB7K3nlIO5DdrqSkhiEmoh1al1h4xP0HoKY8G5gmO/CNZOeTcnAEvAz1ceXHJ3Y3aTZiqiFRGGEUI7nzJBWeA64omT5naNnjZlr/K1nfe56YW7Z2c6C/X1L8xwA0cRx18JnbOWSfi9JWdBTZ5YOtHL15965KurltWrugJ6moSqM0QNNS68FyCiRLBRJmg5ItpuZyRMGARB/KqcLw8zn46u+nEwOx16sOxqe4oh/zdET1dJ1nZ+SJWfop6CQEIYXCdAAnPRyZVQTZTQdknGBx1MDBKUPaTaF3YHbQtWnzLUHnNrdt3Tm5NZbsLbyRwA28gD27aJ676IL73w/uDr1z/sa/39Q+4Tz/11Bd3bH01yYNx5IbHsOlACYP5LGpdgrqkWIgqC8ENpYcbKbER7x2b/hqxuWQiU64rwA/p5aMqSshHJGnhACD7DgLG4CuVp08A12HIpEtIJYoYLQTY0ksxOOJhfksDFnWdVFp9xtrvZGuavr5j4/1YuvLyOTpLsz+HbxgbGR2D5xAEjH+zv2/X2m0bf0Vz2YNrd/Vtcf/23gbsP9CERbUMNQmOpMfhyZaHVZq2yb8tXd18TCLPzX+25m3q4yoAZOrdZmBo1oEes+hB0S9D2zYLIogReBGBqmiFk61ZT5VSbFIS1+HwXIZkwkcmVca8+gnsOTiOW+7JIYEuv6Mlu/5/fPRS1t3dtb5SwVczGYJ0em6VkunsDenBldXnwiGfX931x4ew7MSTahN09M5cLnnlSZ276e7XKuBw4FABbNcxKmUkJwmdlvx5SO4tXfY02bE6LdY4znb1+slMiU8sfTLlzSjFUmuOaRbGVVq46cXNHBZAlqAhlBc9Jl5FUcLewQwaGk5mq5b23N/emrnm+Q2946eddvJR/KaPnb2hAW7akhWXoTC2czyVzX7O37V4e/vip1eefRq/rHf7DjiUIuk6cBxbMzctSkeo+dTUj+3DtHFbTgzbNRwHi+bSqA9o/3Zub1AflvOwoNjMdwkXlwAgu10xInNNQEAQwHN8sMTbsKI79VD70nM3ZrI932PBxPipqzuPy999VM7dXH+Aw7ENm/eivq6m49kXN393439uuWzTH/8T+YkxuK4DIqevRYelRtNrNVWxT4EZHLLD/VHaEaEgin5QIukHqa7LnClFoVFKYpTvGbkohBhUxcwfiXzBJBLGNy8OW24V40sYC5Cry2JpdzeaF3Q/VNe44vN+eXxPqmbJXH/1s7Y3JcABYN/rA/A874TNW3auLhXz12/evPVdf3h5EwYHx5BOuwAIKr7QzE0vbfJaoiMZ0rTWSCLHVoMZiCZhhQAnkPkoMwC4BWobwJSaBclG0QeN5KHQeHADWt/WxckqdCP+CwKCii/oiUMrcL1aNLYsx+LOE35Xk01/r6llyYYgqGxPZebN9Vd+WPamoShRa5s/DwC2c863A9hI4C/o6en54asbt5ywZfNGh7EKDgwzBIyKxrZhzob4ch3p0nWBr1EGAxW61jkYUiLWdEYFRmJlFsl6ifnMNrOvSdyr7eINoxgt9NRGAhVgcHGlc2vvTDgHcQgIYfozA/AcMaNycNRFMulh1crVwfyF3dvHJvmfLV22pg/A1uNFw46VvWkBrkx+AVv7Xh/c6gfBRalUqu19F55+/7ZNj9U9+Nie7O7eClobCIploFzhSHoE1BUpAJwQMMYR6El24j2hG92YhQRibaZDfmomvAp4h1g/hOauLAS5kuiix8UsksOf5l2G6KgjAHDCde0kUwczJFwg4QYolSmKZQc16RIKPIFJp3PygvPOHavL+Jc3tbTtW0idPW92YB/i1L85LWAclIACE7mXNmxf0z/E/mnblm1+eWxH40R+T+1TGxy4oGiopUglxMi6coWjXGHww5orDRxCAcfogxLtjWJxc9X7hBLjNZqihD1UJNWxU2FlcpmjZUDHoC2KijjUphoO5VWcnEBcLD6jKJUJShUKxgSwG3M+kskC1m/y0NqwePzsszqHFnV0ugOjzqezueXPLGzJjgKckSNoOP9Gsze9BzfNoQQA2CubXx9OZNofqauM9Fx33X+UJl7/2pc2/PHxq3YN9VV4sby8qZanHFJCochQKDGUKqoeURglAERfdzAG0cbc9AXGwtXKuzMbAZrKh7GUNViQThSJaJFWUpixONbvq8ez0BD8OqcbAGgQoFRxMTrBkS8ALfOycBMoZuqym5s7eryzTjnnZ/PGb/z7bPaWZENzXRHBECOkZq6/wqNubymAKztp+XxAJBrmyxM74DrebY7j3HbOGaucpvraOzyn3FMY733n5m19DidjGOsLMDnpI5Gg8BwH3IEaCClGc0SQaOakq5+qyFeZqO00gkckpFM6fTWGhyt5XvN3q/jM0CqZbrNBORxHtbsLQBAgcCjyIw44qUG2fl5wwvIlT7bOS20N/NFr6YHJwEuk0Jf7Dl9Yszg/19/XsbS3JMBNS9QsBTSG/Epp9Bo3kWg4eGDw78rBusTitk1BzY6mUwdH3NP29x/E6OgkEh6QTbsSuBSuK9UPWPXlEG8svDbjHKbkqCuFdBlbuJhl8mJQwLfysqFL7Ky7gDAmgzQuIXJco7iHUFIWuSOJLDI1bRia8P+we7D44ulv63LWrD2vnMo2/kXgl4fntzTM9VdyXO0txcEPx3716ydAKN41NlF+z9DIxOUjY/ll5WIBe3t3oPdgCaxUQkMNQzYtxuYFjMJxBB1SoAUAxyXwHALXpXApgeMQuA6F6+r2C4yJacBMVmyICKxY8DqunvbiuRwutSONrgM4DkexxFEsB6hNMyxo9pFKURwcyaGnuxOZTBLEyW5x3Nr7fZb+fwD/3fKVZ8/1KZ5T+y8PcGUHB4YA4KJCyV86ODjIHvy3h9hAuW7JskVNN40N7UdrUxLrN+zDvn0DaM5RJDwKx3FRrnAEjCPhUaSTFJ5HBbAdCs8l8DwCT94nKxWgWOao+KJiw3XF+3iuTjPwXIZMSuTW+AFBsQT4QYCkxzCvvgTq1WG01IHGWh/LultAgr23/mEj23XhRZfR2lw95TyxA8Aj2Zr/Wp56KvtvgE9h+/b3I5VM1u99re9dmzZvwsLmZGVLv/OFBGEXNmQAgOPVV1/Gxl0jKOQZWnIUdbUuko6PiXwJDhU57JkUUJcVZH1sgmBoNMB43gcA1GRcZFIOkh6B6wIcHurrPNTXMLQ0FjE64WNgvBWrV5+CpEfQmKvA8yrrnnvVvX1+I/N6li1HfeP83/mV8ki2tnmuT9kb0t7yHPxwrW1hKwCMAPglAGzY1oez2rE57QStaQ8s8H3s37cTbG8ePvfheRTlMqlc9ZGemzdurVySL7gV1yHIpAjmNQQgBBgcdXBwKMDwmA9CgKaci3TKBSUMcKnXP576d7e4+WbP87yabAnFMoPrZbGk60QkEi4yqYBm06y/vQO7aLJzrk/Rm8L+24MfRQvGfwFK0frok/nc2LjLKaVIp4CWBgZCOAZGHQwMMwlwgqZ6B+mkA3AG5lDy2kTjKAHvv/bD5831n/KWsf8Pct6izVRZkeYAAAAldEVYdGRhdGU6Y3JlYXRlADIwMjAtMTEtMDdUMTc6MTg6NDUrMDA6MDCnt3zeAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDIwLTExLTA3VDE3OjE4OjQ1KzAwOjAw1urEYgAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi41LCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvSM8oowAAAABJRU5ErkJggg==', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25146205
    {'hecke_orbit_code': 4505523806274173, 'n': 1, 'trace_an': 32}
  • id: 25146206
    {'hecke_orbit_code': 4505523806274173, 'n': 2, 'trace_an': -2}
  • id: 25146207
    {'hecke_orbit_code': 4505523806274173, 'n': 3, 'trace_an': 12}
  • id: 25146208
    {'hecke_orbit_code': 4505523806274173, 'n': 4, 'trace_an': 0}
  • id: 25146209
    {'hecke_orbit_code': 4505523806274173, 'n': 5, 'trace_an': 6}
  • id: 25146210
    {'hecke_orbit_code': 4505523806274173, 'n': 6, 'trace_an': 0}
  • id: 25146211
    {'hecke_orbit_code': 4505523806274173, 'n': 7, 'trace_an': 0}
  • id: 25146212
    {'hecke_orbit_code': 4505523806274173, 'n': 8, 'trace_an': -16}
  • id: 25146213
    {'hecke_orbit_code': 4505523806274173, 'n': 9, 'trace_an': 8}
  • id: 25146214
    {'hecke_orbit_code': 4505523806274173, 'n': 10, 'trace_an': 0}
  • id: 25146215
    {'hecke_orbit_code': 4505523806274173, 'n': 11, 'trace_an': -10}
  • id: 25146216
    {'hecke_orbit_code': 4505523806274173, 'n': 12, 'trace_an': 0}
  • id: 25146217
    {'hecke_orbit_code': 4505523806274173, 'n': 13, 'trace_an': 0}
  • id: 25146218
    {'hecke_orbit_code': 4505523806274173, 'n': 14, 'trace_an': 0}
  • id: 25146219
    {'hecke_orbit_code': 4505523806274173, 'n': 15, 'trace_an': -44}
  • id: 25146220
    {'hecke_orbit_code': 4505523806274173, 'n': 16, 'trace_an': 12}
  • id: 25146221
    {'hecke_orbit_code': 4505523806274173, 'n': 17, 'trace_an': 0}
  • id: 25146222
    {'hecke_orbit_code': 4505523806274173, 'n': 18, 'trace_an': -4}
  • id: 25146223
    {'hecke_orbit_code': 4505523806274173, 'n': 19, 'trace_an': -12}
  • id: 25146224
    {'hecke_orbit_code': 4505523806274173, 'n': 20, 'trace_an': 0}
  • id: 25146225
    {'hecke_orbit_code': 4505523806274173, 'n': 21, 'trace_an': 0}
  • id: 25146226
    {'hecke_orbit_code': 4505523806274173, 'n': 22, 'trace_an': -8}
  • id: 25146227
    {'hecke_orbit_code': 4505523806274173, 'n': 23, 'trace_an': 0}
  • id: 25146228
    {'hecke_orbit_code': 4505523806274173, 'n': 24, 'trace_an': 12}
  • id: 25146229
    {'hecke_orbit_code': 4505523806274173, 'n': 25, 'trace_an': 0}
  • id: 25146230
    {'hecke_orbit_code': 4505523806274173, 'n': 26, 'trace_an': -24}
  • id: 25146231
    {'hecke_orbit_code': 4505523806274173, 'n': 27, 'trace_an': 0}
  • id: 25146232
    {'hecke_orbit_code': 4505523806274173, 'n': 28, 'trace_an': 0}
  • id: 25146233
    {'hecke_orbit_code': 4505523806274173, 'n': 29, 'trace_an': 16}
  • id: 25146234
    {'hecke_orbit_code': 4505523806274173, 'n': 30, 'trace_an': 0}
  • id: 25146235
    {'hecke_orbit_code': 4505523806274173, 'n': 31, 'trace_an': -24}
  • id: 25146236
    {'hecke_orbit_code': 4505523806274173, 'n': 32, 'trace_an': 4}
  • id: 25146237
    {'hecke_orbit_code': 4505523806274173, 'n': 33, 'trace_an': -48}
  • id: 25146238
    {'hecke_orbit_code': 4505523806274173, 'n': 34, 'trace_an': 0}
  • id: 25146239
    {'hecke_orbit_code': 4505523806274173, 'n': 35, 'trace_an': 0}
  • id: 25146240
    {'hecke_orbit_code': 4505523806274173, 'n': 36, 'trace_an': 0}
  • id: 25146241
    {'hecke_orbit_code': 4505523806274173, 'n': 37, 'trace_an': -8}
  • id: 25146242
    {'hecke_orbit_code': 4505523806274173, 'n': 38, 'trace_an': 0}
  • id: 25146243
    {'hecke_orbit_code': 4505523806274173, 'n': 39, 'trace_an': -6}
  • id: 25146244
    {'hecke_orbit_code': 4505523806274173, 'n': 40, 'trace_an': 132}
  • id: 25146245
    {'hecke_orbit_code': 4505523806274173, 'n': 41, 'trace_an': 0}
  • id: 25146246
    {'hecke_orbit_code': 4505523806274173, 'n': 42, 'trace_an': 0}
  • id: 25146247
    {'hecke_orbit_code': 4505523806274173, 'n': 43, 'trace_an': 0}
  • id: 25146248
    {'hecke_orbit_code': 4505523806274173, 'n': 44, 'trace_an': -42}
  • id: 25146249
    {'hecke_orbit_code': 4505523806274173, 'n': 45, 'trace_an': 24}
  • id: 25146250
    {'hecke_orbit_code': 4505523806274173, 'n': 46, 'trace_an': 12}
  • id: 25146251
    {'hecke_orbit_code': 4505523806274173, 'n': 47, 'trace_an': -30}
  • id: 25146252
    {'hecke_orbit_code': 4505523806274173, 'n': 48, 'trace_an': 0}
  • id: 25146253
    {'hecke_orbit_code': 4505523806274173, 'n': 49, 'trace_an': 0}
  • id: 25146254
    {'hecke_orbit_code': 4505523806274173, 'n': 50, 'trace_an': 88}
  • id: 25146255
    {'hecke_orbit_code': 4505523806274173, 'n': 51, 'trace_an': 0}
  • id: 25146256
    {'hecke_orbit_code': 4505523806274173, 'n': 52, 'trace_an': -36}
  • id: 25146257
    {'hecke_orbit_code': 4505523806274173, 'n': 53, 'trace_an': -12}
  • id: 25146258
    {'hecke_orbit_code': 4505523806274173, 'n': 54, 'trace_an': -78}
  • id: 25146259
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  • id: 25146262
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  • id: 25146263
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  • id: 25146264
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  • id: 25146265
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  • id: 25146266
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  • id: 25146267
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  • id: 25146268
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  • id: 25146269
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  • id: 25146270
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  • id: 25146271
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  • id: 25146272
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  • id: 25146273
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  • id: 25146274
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  • id: 25146275
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  • id: 25146276
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  • id: 25146277
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  • id: 25146278
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  • id: 25146280
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  • id: 25146281
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  • id: 25146282
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  • id: 25146283
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  • id: 25146284
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  • id: 25146285
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  • id: 25146290
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  • id: 25146291
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  • id: 25146292
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  • id: 25146293
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  • id: 25146295
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  • id: 25146296
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  • id: 25146298
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  • id: 25146299
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  • id: 25146300
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  • id: 25146302
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  • id: 25146304
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  • id: 25146305
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  • id: 25146307
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  • id: 25146308
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  • id: 25146309
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  • id: 25146310
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  • id: 25146311
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  • id: 25146312
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  • id: 25146313
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  • id: 25146314
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  • id: 25146315
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  • id: 25146316
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  • id: 25146317
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  • id: 25146318
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  • id: 25146319
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  • id: 25146320
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  • id: 25146321
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  • id: 25146322
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  • id: 25146323
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  • id: 25146324
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  • id: 25146325
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  • id: 25146326
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  • id: 25146327
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  • id: 25146328
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  • id: 25146329
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  • id: 25146330
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  • id: 25146331
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  • id: 25146332
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  • id: 25146333
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  • id: 25146334
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  • id: 25146335
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  • id: 25146336
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  • id: 25146337
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  • id: 25146338
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  • id: 25146339
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  • id: 25146340
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  • id: 25146341
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  • id: 25146342
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  • id: 25146343
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  • id: 25146344
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  • id: 25146347
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  • id: 25146348
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  • id: 25146349
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  • id: 25146350
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  • id: 25146351
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  • id: 25146352
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  • id: 25146353
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  • id: 25146354
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  • id: 25146355
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  • id: 25146356
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  • id: 25146357
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  • id: 25146358
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  • id: 25146359
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  • id: 25146360
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  • id: 25146361
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  • id: 25146362
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  • id: 25146363
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  • id: 25146364
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  • id: 25146365
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  • id: 25146366
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  • id: 25146367
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  • id: 25146368
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  • id: 25146369
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  • id: 25146370
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  • id: 25146371
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  • id: 25146372
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  • id: 25146373
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  • id: 25146374
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  • id: 25146375
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  • id: 25146376
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  • id: 25146377
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  • id: 25146378
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  • id: 25146379
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  • id: 25146380
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  • id: 25146381
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  • id: 25146382
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  • id: 25146383
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  • id: 25146384
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  • id: 25146385
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  • id: 25146386
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  • id: 25146387
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  • id: 25146388
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  • id: 25146389
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  • id: 25146390
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  • id: 25146391
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  • id: 25146392
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  • id: 25146393
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  • id: 25146394
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  • id: 25146395
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  • id: 25146396
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  • id: 25146397
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  • id: 25146398
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  • id: 25146399
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  • id: 25146400
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  • id: 25146401
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  • id: 25146402
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  • id: 25146403
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  • id: 25146404
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  • id: 25146405
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  • id: 25146406
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  • id: 25146407
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  • id: 25146408
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  • id: 25146409
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  • id: 25146410
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  • id: 25146411
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  • id: 25146412
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  • id: 25146413
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  • id: 25146414
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  • id: 25146415
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  • id: 25146416
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  • id: 25146417
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  • id: 25146418
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  • id: 25146419
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  • id: 25146420
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  • id: 25146421
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  • id: 25146422
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  • id: 25146423
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  • id: 25146424
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  • id: 25146425
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  • id: 25146426
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  • id: 25146427
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  • id: 25146428
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  • id: 25146429
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  • id: 25146430
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  • id: 25146431
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  • id: 25146432
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  • id: 25146433
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  • id: 25146434
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  • id: 25146435
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  • id: 25146436
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  • id: 25146437
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  • id: 25146438
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  • id: 25146439
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  • id: 25146440
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  • id: 25146441
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  • id: 25146442
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  • id: 25146443
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  • id: 25146444
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  • id: 25146445
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  • id: 25146446
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  • id: 25146447
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  • id: 25146448
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  • id: 25146449
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  • id: 25146450
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  • id: 25146451
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  • id: 25146452
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  • id: 25146453
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  • id: 25146454
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  • id: 25146455
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  • id: 25146456
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  • id: 25146457
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  • id: 25146458
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  • id: 25146459
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  • id: 25146460
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  • id: 25146461
    {'hecke_orbit_code': 4505523806274173, 'n': 991, 'trace_an': 144}
  • id: 25146462
    {'hecke_orbit_code': 4505523806274173, 'n': 997, 'trace_an': -288}