Embedded newform data - 630.2.ce.b.53.4

Formats: - HTML - YAML - JSON - 2025-09-20T20:35:28.351274

• 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': 2520, 'analytic_conductor': 5.030575327340665, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 105, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 57, 'char_orbit_label': 'ce', 'char_order': 12, 'char_parity': 1, 'char_values': [630, 12, [281, 127, 451], [6, 9, 8]], 'cm_discs': [], 'conrey_index': 53, 'dim': 16, 'field_disc': 6040479020157644046336, 'field_disc_factorization': [[2, 32], [3, 8], [11, 8]], 'field_poly': [6561, 0, 0, 0, -567, 0, 0, 0, -32, 0, 0, 0, -7, 0, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[11, [625, 0, -300, 0, 119, 0, -12, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4507447951622774, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 3, -1, 4, 0], [1, 1, 7, 3, 1, 3, 0], [1, 1, 15, 5, 1, 4, 0], [1, 1, 21, 8, -1, 6, 0], [1, 1, 35, 12, -1, 12, 0], [1, 1, 105, 24, 1, 12, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '630.2.ce.b', 'level': 630, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'minimal_twist': '630.2.ce.b', 'nf_label': '16.0.6040479020157644046336.1', 'prim_orbit_index': 24, 'qexp_display': 'q-\\beta _{11}q^{2}+\\beta _{9}q^{4}+(-2\\beta _{11}+\\beta _{15})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '630.2.ce', 'trace_display': [0, 0, 0, 12], 'trace_hash': 44935310014383704, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.238', 'prec': 20}, {'__RealLiteral__': 0, 'data': '41.964', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2226.794', 'prec': 27}, {'__RealLiteral__': 0, 'data': '21023.321', 'prec': 30}, {'__RealLiteral__': 0, 'data': '674472.206', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.635', 'prec': 17}, 'traces': [16, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 16, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -12, 0, 0, 24, 0, 0, 0, 0, 0, -40, 0, 0, 12, 0, 0, -16, 0, 0, -40, 0, 0, 0, 0, 0, 8, 0, 0, 56, 0, 0, -20, 0, 0, -24, 0, 0, 0, 0, 0, -32, 0, 0, 4, 0, 0, 48, 0, 0, 48, 0, 0, 0, 0, 0, -16, 0, 0, 88, 0, 0, -4, 0, 0, 24, 0, 0, 0, 0, 0, -120, 0, 0, -4, 0, 0, -24, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, -56, 0, 0, -40, 0, 0, 0, 0, 0, 56, 0, 0, 12, 0, 0, -88, 0, 0, -8, 0, 0, 0, 0, 0, 16, 0, 0, -8, 0, 0, 80, 0, 0, -160, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, -16, 0, 0, -8, 0, 0, 0, 0, 0, -8, 0, 0, 72, 0, 0, 8, 0, 0, 288, 0, 0, 0, 0, 0, 48, 0, 0, 72, 0, 0, 20, 0, 0, 64, 0, 0, 0, 0, 0, -32, 0, 0, -24, 0, 0, 8, 0, 0, 80, 0, 0, 0, 0, 0, 36, 0, 0, 16, 0, 0, -232, 0, 0, 16, 0, 0, 0, 0, 0, -40, 0, 0, -44, 0, 0, 32, 0, 0, -80, 0, 0, 0, 0, 0, -24, 0, 0, -72, 0, 0, 48, 0, 0, -8, 0, 0, 0, 0, 0, 84, 0, 0, -120, 0, 0, -32, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, -16, 0, 0, 16, 0, 0, 0, 0, 0, -48, 0, 0, 48, 0, 0, 40, 0, 0, 152, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 4, 0, 0, -48, 0, 0, 0, 0, 0, -16, 0, 0, -4, 0, 0, 32, 0, 0, 80, 0, 0, 0, 0, 0, 88, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -20, 0, 0, 16, 0, 0, 8, 0, 0, 0, 0, 0, 12, 0, 0, 120, 0, 0, 104, 0, 0, 24, 0, 0, 0, 0, 0, 64, 0, 0, 44, 0, 0, 60, 0, 0, 96, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 24, 0, 0, 88, 0, 0, 0, 0, 0, -48, 0, 0, -12, 0, 0, 56, 0, 0, -240, 0, 0, 0, 0, 0, 88, 0, 0, -100, 0, 0, -256, 0, 0, -32, 0, 0, 0, 0, 0, 16, 0, 0, 144, 0, 0, -12, 0, 0, 16, 0, 0, 0, 0, 0, 44, 0, 0, -44, 0, 0, 336, 0, 0, -88, 0, 0, 0, 0, 0, -28, 0, 0, -24, 0, 0, 32, 0, 0, -80, 0, 0, 0, 0, 0, -52, 0, 0, 96, 0, 0, 64, 0, 0, 48, 0, 0, 0, 0, 0, -4, 0, 0, -312, 0, 0, -28, 0, 0, 56, 0, 0, 0, 0, 0, -64, 0, 0, 12, 0, 0, 64, 0, 0, -176, 0, 0, 0, 0, 0, -8, 0, 0, -88, 0, 0, -232, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 24, 0, 0, -32, 0, 0, -88, 0, 0, 0, 0, 0, -52, 0, 0, -104, 0, 0, 68, 0, 0, -8, 0, 0, 0, 0, 0, 40, 0, 0, 92, 0, 0, -40, 0, 0, 400, 0, 0, 0, 0, 0, 100, 0, 0, -88, 0, 0, 184, 0, 0, -56, 0, 0, 0, 0, 0, 112, 0, 0, -196, 0, 0, 56, 0, 0, -80, 0, 0, 0, 0, 0, -32, 0, 0, -12, 0, 0, -192, 0, 0, 112, 0, 0, 0, 0, 0, -32, 0, 0, 104, 0, 0, 8, 0, 0, -200, 0, 0, 0, 0, 0, -56, 0, 0, 40, 0, 0, -120, 0, 0, -88, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -8, 0, 0, -384, 0, 0, 0, 0, 0, 16, 0, 0, -132, 0, 0, 120, 0, 0, 64, 0, 0, 0, 0, 0, -8, 0, 0, 24, 0, 0, 16, 0, 0, -352, 0, 0, 0, 0, 0, -312, 0, 0, -28, 0, 0, 152, 0, 0, -80, 0, 0, 0, 0, 0, -148, 0, 0, 60, 0, 0, -96, 0, 0, -8, 0, 0, 0, 0, 0, 16, 0, 0, 44, 0, 0, 224, 0, 0, 16, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 32, 0, 0, 72, 0, 0, 0, 0, 0, 96, 0, 0, -72, 0, 0, -24, 0, 0, -16, 0, 0, 0, 0, 0, 40, 0, 0, -68, 0, 0, 16, 0, 0, 480, 0, 0, 0, 0, 0, 200, 0, 0, 48, 0, 0, 8, 0, 0, 48, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 88, 0, 0, -176, 0, 0, 0, 0, 0, -88, 0, 0, 4, 0, 0, 304, 0, 0, -56, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 64, 0, 0, 28, 0, 0, 112, 0, 0, -96, 0, 0, 0, 0, 0, -116, 0, 0, 24, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 216, 0, 0, 44, 0, 0, -172, 0, 0, 416, 0, 0, 0, 0, 0, -80, 0, 0, -40, 0, 0, 20, 0, 0, -168, 0, 0, 0, 0, 0, 136, 0, 0, 36, 0, 0, 80, 0, 0, -368, 0, 0, 0, 0, 0, -56, 0, 0, 184, 0, 0, -64, 0, 0, 176, 0, 0, 0, 0, 0, -8, 0, 0, 112, 0, 0, -176, 0, 0, 24, 0, 0, 0, 0, 0, -12, 0, 0, 264, 0, 0, 48, 0, 0, -112, 0, 0, 0, 0, 0, 40, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.18301270189221933, -0.6830127018922193], [0.0, 0.0], [-0.4330127018922193, -0.25], [0.8899708587734078, -0.45601740156941717], [0.0, 0.0], [0.6765553355117198, 0.7363917965258876], [-0.25, 0.25], [0.0, 0.0], [-0.1485897060863367, -0.6913183776272522], [0.7970096721647936, 0.46015374877107895], [0.0, 0.0], [0.2773500981126146, 0.2773500981126146], [0.6267831705280087, -0.3273268353539886], [0.0, 0.0], [0.125, 0.21650635094610965], [1.011261836586905, -0.2709667924498752], [0.0, 0.0], [-1.2549860883397388, 0.7245665559321837], [-0.49937303655516635, -0.025031387529909438], [0.0, 0.0], [0.46015374877107895, -0.46015374877107895], [-0.33904768806543145, -0.09084755421277156], [0.0, 0.0], [0.5840962589317539, -0.8116843969807043], [0.2401922307076307, -0.1386750490563073], [0.0, 0.0], [-0.10885910467805482, -0.48800583534286995], [1.0920263346543055, 0.0], [0.0, 0.0], [0.26940795304016235, -0.4666282626286914], [0.17075317547305482, -0.04575317547305483], [0.0, 0.0], [0.0, -0.74029504413703], [0.9379220065418665, 0.3468462334298571], [0.0, 0.0], [-1.1228659650777675, -0.300871028550981], [0.26520976620377756, 0.9897763221359613], [0.0, 0.0], [-0.10848836430099765, 0.33649706508570626], [0.0, -0.4417261042993862], [0.0, 0.0], [-1.164059648050351, -1.164059648050351], [-0.23007687438553948, -0.3985048360823968], [0.0, 0.0], [-0.12410006692632995, 0.2149476211391015], [-0.01195342103302237, 0.04461077461950194], [0.0, 0.0], [-0.08454575598124861, 0.9964195979332999], [-0.44749371855331, -0.54749371855331], [0.0, 0.0], [-0.05075859082566171, -0.18943363988196898], [0.05806452145950203, 0.21669974420403496], [0.0, 0.0], [0.9191534992242274, 0.046073147235317864], [-0.35323678300940187, -0.014959115253541969], [0.0, 0.0], [0.19985469004254136, -0.7458678573696941], [0.7801812061284426, -1.3513134881248297], [0.0, 0.0], [-0.40438046493194424, -0.7004075108504522], [-0.26940795304016235, -0.26940795304016235], [0.0, 0.0], [0.0, -0.125], [0.3733099760645099, 0.12035703393183508], [0.0, 0.0], [0.4754882996240192, 1.774546492601373], [-0.5056309182934525, -0.1354833962249376], [0.0, 0.0], [0.4085520236174649, -0.5771353775311945], [0.0, -0.2209773959875076], [0.0, 0.0], [0.42902119586134263, -0.11495588296688128], [-0.41099746826339323, 0.7118684968143743], [0.0, 0.0], [0.7245665559321837, 0.0], [0.2003677004218809, 0.8982308582207341], [0.0, 0.0], [-0.35400738186541764, 0.2043862572151135], [0.20997702092839723, 0.13568216788522888], [0.0, 0.0], [-0.30170453999384805, -0.08084148784415494], [-0.9520649772713665, 0.9520649772713665], [0.0, 0.0], [0.7764279925474298, -0.7023055440023682], [-1.0081052267319768, 0.5820298240251754], [0.0, 0.0], [-0.31429085523396816, 0.08421398084842865], [-0.6708214453646022, -1.1618968261782807], [0.0, 0.0], [-0.016595648332991098, 0.39188102569856775], [0.12410006692632995, 0.12410006692632995], [0.0, 0.0], [0.028282097826262155, 0.016328676793239787], [-0.786486088688101, 1.2171386150319108], [0.0, 0.0], [-0.5931335107464919, 0.5931335107464919], [0.6650942945671334, 0.24010326806240495], [0.0, 0.0], [-0.4558421984903521, 0.20544558908743304], [-1.4562913912067676, -0.8407902267317618], [0.0, 0.0], [-0.13103516145580466, 0.489029880131054], [-0.1386750490563073, 0.0], [0.0, 0.0], [0.15863522274453293, 0.0], [-0.3411172854900811, 1.2730670407889604], [0.0, 0.0], [1.4322593781563397, 0.8269153375279288], [0.19968531012458626, -0.619361543798614], [0.0, 0.0], [-0.07486408379350504, 0.2385275014704993], [-0.13303802104754786, 0.13303802104754786], [0.0, 0.0], [-0.3431706277237754, 0.07375996987951232], [-0.47286127370611775, -0.2730065836635764], [0.0, 0.0], [-0.7801812061284426, -0.7801812061284426], [0.8837123142332725, 0.5613608914238398], [0.0, 0.0], [-0.07651705498384546, -0.13253142687756173], [-0.5523939878911982, 0.14801352295925393], [0.0, 0.0], [-0.2333141313143457, 0.13470397652008118], [0.14968643956224767, -0.9887335180983688], [0.0, 0.0], [-0.42518237095753963, 0.42518237095753963], [-0.08537658773652741, -0.022876587736527416], [0.0, 0.0], [0.1505258503004019, -0.23294858942354196], [0.9461176578701015, -0.5462412844563613], [0.0, 0.0], [-1.3826324018847087, -0.43395209085822684], [1.299058192977354, 0.0], [0.0, 0.0], [-0.1850737610342575, 0.3205571572591951], [-1.4854430276576196, 0.39802325966330104], [0.0, 0.0], [0.0, 1.1252497724326418], [-0.31942058385940114, -0.38466932631406847], [0.0, 0.0], [-0.1509303682905344, -0.04044167029678063], [0.09342702340306214, 0.34867439814015444], [0.0, 0.0], [0.971871614855469, -0.49798301157443114], [0.0, -0.3140653128944614], [0.0, 0.0], [0.41099746826339323, 0.41099746826339323], [0.2896422231817461, 0.5016750465679883], [0.0, 0.0], [-0.6788369099478824, 1.1757800180827909], [0.13260488310188878, -0.49488816106798067], [0.0, 0.0], [0.6501729196224497, 0.02753397184886387], [0.026974619504751787, -0.5381402703271101], [0.0, 0.0], [-0.10759878393353862, -0.401564128472592], 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-0.42508218772809536, -0.0659026245186976, -0.198671995692576, -0.22954876523460643, 0.06198663061043428, -0.1929222057566539, -0.2772500354862225, -0.48634023682792543, -0.19828255732905736, -0.49781019712690255, -0.3287024595126421, -0.2549754933002648, -0.3826632408193101, -0.4091336608244382, -0.34291443320207904, -0.014133386925709578, -0.349316768094467, -0.4951873413755083, -0.4463670228971427, 0.10054543588549068, -0.28285423259970754, -0.3703503731034966, -0.4341596988357798, -0.09879196216359575, -0.4297137707905619, -0.4406429017510131, -0.06858616302860171, -0.2604935104971879, -0.2916666666666667, -0.48292854568215815, -0.4721324999004487, -0.11099203827593167, -0.08007552863092007, 0.14356524812244403, -0.3558779102892963, -0.20019735255502047, 0.19938143242214618, -0.23825552403926814, -0.24482341960292944, -0.00885581891704729, -0.2741000229489968, -0.389780559150424, -0.11679525344500914, -0.15795593100299402, -0.3507750460890049, -0.2956348830196204, -0.3433322756050531, -0.06458847846899807, -0.49973726695258663, 0.05622785995540442, 0.21685645250538874, -0.3786846158070094, 0.018257364475086673, -0.4494232707264039, -0.2513881448160385, -0.31089228676271025, -0.030094638782343586, -0.10631225623224301, 0.09855986177805705, 0.0263601590107381, -0.39098594466470016, -0.4311227776303851, -0.06167395301261932, -0.14096278759962877, 0.24647867005583848, -0.03451921957329199, -0.1303654469703165, -0.10958352499748113, -0.33688316476631863, -0.18889041749915908, -0.15797412557760246, -0.21425653890536422, -0.17398536233825687, -0.1845619082586905, -0.35799244784560674, -0.06164011011087094, -0.08964997944535641, -0.40081221128912037, -0.13549043077793566, -0.061431938803990775, 0.27685773798512464, -0.07770999895743813, -0.47883045385201495, -0.4337019134643741, -0.4002119342599846, 0.09343866518959498, -0.3796079449992061, -0.04360977641844865, 0.27685604872099984, -0.48225600144418185, -0.2078122664630595, -0.4673924133314838, -0.08623731764457855, -0.42604450193151544, -0.3404075747472273, -0.38895197312828345, 0.033404059449075284, -0.4483583705308195, -0.005262865440008828, -0.21158092209438387, -0.0800654193324785, -0.340372268781893, -0.20553643695491491, -0.2447904015262005, -0.21392785010340462, -0.18096474298178436, -0.06301219053561503, -0.15762921787055706, -0.2981590583137334, -0.13597979919446626, -0.2541863400578195, -0.4433271631223382, -0.11103218764329383, -0.4557952089302963, -0.48941342784095715, 0.01712164794577802, -0.28186607489571275, -0.16033337405235595, -0.23488816110961383, -0.15408902691973955, -0.3927973172599434, -0.2818245900683498, -0.26659437981093626, -0.25683738931264405, -0.26174592066309355, -0.06390570137991719, -0.4610122756302284, -0.0714825694234861], 'char_orbit_index': 57, 'conrey_index': 53, 'dual_conrey_index': 107, 'dual_embedding_index': 4, 'dual_embedding_m': 8, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 1.731216293108684, 'embedding_root_real': 0.05376008254296779, 'hecke_orbit': 2, 'hecke_orbit_code': 4507447951622774, 'label': '630.2.ce.b.53.4', 'level': 630, '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': 2520, 'analytic_conductor': 5.030575327340665, 'char_conductor': 105, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 57, 'char_orbit_label': 'ce', 'char_order': 12, 'char_parity': 1, 'char_values': [630, 12, [281, 127, 451], [6, 9, 8]], 'conrey_index': 53, 'cusp_dim': 512, 'dim': 64, 'eis_dim': 128, 'eis_new_dim': 0, 'hecke_cutter_primes': [11], 'hecke_orbit_code': 3848324252278, 'hecke_orbit_dims': [16, 16, 32], 'label': '630.2.ce', 'level': 630, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'mf_dim': 640, 'mf_new_dim': 64, 'num_forms': 3, 'prim_orbit_index': 24, 'relative_dim': 16, 'sturm_bound': 288, 'trace_bound': 7, 'trace_display': [0, 0, 0, -8], 'traces': [64, 0, 0, 0, 0, 0, -8, 0, 0, -8, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 48, 0, 0, 16, 0, 0, -8, 0, 0, -64, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 8, 0, 0, -96, 0, 0, 0, 0, 0, 32, 0, 0, 24, 0, 0, 64, 0, 0, 64, 0, 0, 0, 0, 0, -32, 0, 0, -64, 0, 0, -24, 0, 0, 48, 0, 0, 0, 0, 0, -208, 0, 0, -8, 0, 0, -32, 0, 0, -96, 0, 0, 0, 0, 0, -16, 0, 0, -112, 0, 0, -112, 0, 0, -32, 0, 0, 0, 0, 0, -80, 0, 0, 32, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 48, 0, 0, -32, 0, 0, -48, 0, 0, 0, 0, 0, 176, 0, 0, -16, 0, 0, 64, 0, 0, 80, 0, 0, 0, 0, 0, 16, 0, 0, 296, 0, 0, 144, 0, 0, 64, 0, 0, 0, 0, 0, 176, 0, 0, -32, 0, 0, -72, 0, 0, 96, 0, 0, 0, 0, 0, -64, 0, 0, -160, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 24, 0, 0, -40, 0, 0, -208, 0, 0, -64, 0, 0, 0, 0, 0, 16, 0, 0, -48, 0, 0, 16, 0, 0, -160, 0, 0, 0, 0, 0, 48, 0, 0, -96, 0, 0, 352, 0, 0, -32, 0, 0, 0, 0, 0, -56, 0, 0, 112, 0, 0, 32, 0, 0, 16, 0, 0, 0, 0, 0, -80, 0, 0, 24, 0, 0, 80, 0, 0, 64, 0, 0, 0, 0, 0, -64, 0, 0, -144, 0, 0, -64, 0, 0, 128, 0, 0, 0, 0, 0, 96, 0, 0, -16, 0, 0, -24, 0, 0, -128, 0, 0, 0, 0, 0, -272, 0, 0, -96, 0, 0, 64, 0, 0, -32, 0, 0, 0, 0, 0, 144, 0, 0, 32, 0, 0, -368, 0, 0, 144, 0, 0, 0, 0, 0, 24, 0, 0, 64, 0, 0, -256, 0, 0, 208, 0, 0, 0, 0, 0, 152, 0, 0, 352, 0, 0, 240, 0, 0, 16, 0, 0, 0, 0, 0, 96, 0, 0, 216, 0, 0, 104, 0, 0, 256, 0, 0, 0, 0, 0, -80, 0, 0, 32, 0, 0, -32, 0, 0, 336, 0, 0, 0, 0, 0, -64, 0, 0, -80, 0, 0, 48, 0, 0, 192, 0, 0, 0, 0, 0, -256, 0, 0, -256, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 48, 0, 0, 8, 0, 0, -176, 0, 0, 0, 0, 0, 72, 0, 0, -112, 0, 0, 704, 0, 0, -64, 0, 0, 0, 0, 0, -56, 0, 0, 384, 0, 0, 64, 0, 0, -240, 0, 0, 0, 0, 0, -216, 0, 0, -112, 0, 0, 96, 0, 0, -128, 0, 0, 0, 0, 0, -152, 0, 0, -144, 0, 0, 40, 0, 0, -432, 0, 0, 0, 0, 0, -96, 0, 0, -48, 0, 0, 64, 0, 0, -448, 0, 0, 0, 0, 0, -208, 0, 0, -136, 0, 0, -144, 0, 0, -384, 0, 0, 0, 0, 0, -160, 0, 0, 40, 0, 0, -480, 0, 0, 32, 0, 0, 0, 0, 0, 144, 0, 0, -96, 0, 0, -32, 0, 0, 32, 0, 0, 0, 0, 0, 40, 0, 0, -16, 0, 0, 72, 0, 0, 256, 0, 0, 0, 0, 0, -16, 0, 0, 160, 0, 0, 96, 0, 0, 160, 0, 0, 0, 0, 0, 216, 0, 0, 224, 0, 0, -16, 0, 0, 176, 0, 0, 0, 0, 0, 320, 0, 0, -408, 0, 0, 176, 0, 0, 320, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, -352, 0, 0, -192, 0, 0, 0, 0, 0, 128, 0, 0, 264, 0, 0, -64, 0, 0, -128, 0, 0, 0, 0, 0, 16, 0, 0, -144, 0, 0, -16, 0, 0, 32, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 16, 0, 0, -192, 0, 0, 0, 0, 0, -272, 0, 0, -72, 0, 0, 48, 0, 0, -64, 0, 0, 0, 0, 0, -144, 0, 0, -928, 0, 0, -144, 0, 0, 112, 0, 0, 0, 0, 0, -624, 0, 0, 24, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, -72, 0, 0, -352, 0, 0, 96, 0, 0, 0, 0, 0, -640, 0, 0, 96, 0, 0, 32, 0, 0, 80, 0, 0, 0, 0, 0, 72, 0, 0, 40, 0, 0, -448, 0, 0, 128, 0, 0, 0, 0, 0, 320, 0, 0, 176, 0, 0, 112, 0, 0, 224, 0, 0, 0, 0, 0, -32, 0, 0, 544, 0, 0, 32, 0, 0, -160, 0, 0, 0, 0, 0, 464, 0, 0, -64, 0, 0, 192, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 288, 0, 0, -64, 0, 0, 0, 0, 0, 304, 0, 0, 80, 0, 0, 448, 0, 0, -112, 0, 0, 0, 0, 0, 544, 0, 0, -304, 0, 0, 144, 0, 0, -128, 0, 0, 0, 0, 0, 64, 0, 0, 16, 0, 0, 352, 0, 0, -256, 0, 0, 0, 0, 0, -104, 0, 0, 656, 0, 0, 48, 0, 0, 160, 0, 0, 0, 0, 0, 144, 0, 0, -96, 0, 0, -72, 0, 0, 192, 0, 0, 0, 0, 0, -288, 0, 0, 160, 0, 0, -8, 0, 0, -144, 0, 0, 0, 0, 0, 720, 0, 0, 112, 0, 0, 128, 0, 0, -704, 0, 0, 0, 0, 0, -16, 0, 0, 240, 0, 0, 320, 0, 0, 496, 0, 0, 0, 0, 0, -432, 0, 0, 152, 0, 0, -208, 0, 0, 96, 0, 0, 0, 0, 0, 200, 0, 0, 368, 0, 0, -96, 0, 0, 464, 0, 0, 0, 0, 0, 320, 0, 0, -128], '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: 39697294
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 53, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4507447951622774, 'source_is_minimal': True, 'source_label': '630.2.ce.b.53.4', 'source_level': 630, 'target_conrey_index': 53, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4507447951622774, 'target_is_minimal': True, 'target_label': '630.2.ce.b.53.4', 'target_level': 630, 'twist_class_label': '630.2.ce.b.53.1', 'twist_class_level': 630, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 39697295
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 53, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4507447951622774, 'source_is_minimal': True, 'source_label': '630.2.ce.b.53.4', 'source_level': 630, 'target_conrey_index': 53, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4507447951622774, 'target_is_minimal': True, 'target_label': '630.2.ce.b.53.1', 'target_level': 630, 'twist_class_label': '630.2.ce.b.53.1', 'twist_class_level': 630, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 39697296
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 53, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4507447951622774, 'source_is_minimal': True, 'source_label': '630.2.ce.b.53.4', 'source_level': 630, 'target_conrey_index': 557, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4507447951622774, 'target_is_minimal': True, 'target_label': '630.2.ce.b.557.4', 'target_level': 630, 'twist_class_label': '630.2.ce.b.53.1', 'twist_class_level': 630, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 39697297
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 53, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4507447951622774, 'source_is_minimal': True, 'source_label': '630.2.ce.b.53.4', 'source_level': 630, 'target_conrey_index': 233, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4507447951622774, 'target_is_minimal': True, 'target_label': '630.2.ce.b.233.1', 'target_level': 630, 'twist_class_label': '630.2.ce.b.53.1', 'twist_class_level': 630, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 39697298
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 53, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4507447951622774, 'source_is_minimal': True, 'source_label': '630.2.ce.b.53.4', 'source_level': 630, 'target_conrey_index': 557, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4507447951622774, 'target_is_minimal': True, 'target_label': '630.2.ce.b.557.1', 'target_level': 630, 'twist_class_label': '630.2.ce.b.53.1', 'twist_class_level': 630, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 39697299
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 53, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4507447951622774, 'source_is_minimal': True, 'source_label': '630.2.ce.b.53.4', 'source_level': 630, 'target_conrey_index': 233, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4507447951622774, 'target_is_minimal': True, 'target_label': '630.2.ce.b.233.4', 'target_level': 630, 'twist_class_label': '630.2.ce.b.53.1', 'twist_class_level': 630, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 39697300
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 53, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4507447951622774, 'source_is_minimal': True, 'source_label': '630.2.ce.b.53.4', 'source_level': 630, 'target_conrey_index': 107, 'target_dim': 16, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4507447951622774, 'target_is_minimal': True, 'target_label': '630.2.ce.b.107.1', 'target_level': 630, 'twist_class_label': '630.2.ce.b.53.1', 'twist_class_level': 630, 'twisting_char_label': '35.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 39697301
    {'conductor': 105, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 53, 'source_dim': 16, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4507447951622774, 'source_is_minimal': True, 'source_label': '630.2.ce.b.53.4', 'source_level': 630, 'target_conrey_index': 107, 'target_dim': 16, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4507447951622774, 'target_is_minimal': True, 'target_label': '630.2.ce.b.107.4', 'target_level': 630, 'twist_class_label': '630.2.ce.b.53.1', 'twist_class_level': 630, 'twisting_char_label': '105.2', 'twisting_conrey_index': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1141600
    {'charpoly_factorization': [[[1, 0, 0, 0, -1, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 4507447951622774, 'p': 2}
  • id: 1141601
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 4507447951622774, 'p': 3}
  • id: 1141602
    {'charpoly_factorization': [[[390625, 0, 0, 0, 30625, 0, 0, 0, 1776, 0, 0, 0, 49, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4507447951622774, 'p': 5}
  • id: 1141603
    {'charpoly_factorization': [[[2401, -2058, 882, -252, 71, -36, 18, -6, 1], 2]], 'hecke_orbit_code': 4507447951622774, 'p': 7}
  • id: 1141604
    {'charpoly_factorization': [[[625, 0, -300, 0, 119, 0, -12, 0, 1], 2]], 'hecke_orbit_code': 4507447951622774, 'p': 11}
  • id: 1141605
    {'charpoly_factorization': [[[2, -2, 1], 8]], 'hecke_orbit_code': 4507447951622774, 'p': 13}
  • id: 1141606
    {'charpoly_factorization': [[[100000000, 0, 0, 0, -3760000, 0, 0, 0, 131376, 0, 0, 0, -376, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4507447951622774, 'p': 17}
  • id: 1141607
    {'charpoly_factorization': [[[16, 0, -160, 0, 1596, 0, -40, 0, 1], 2]], 'hecke_orbit_code': 4507447951622774, 'p': 19}
  • id: 1141608
    {'charpoly_factorization': [[[1475789056, 0, 0, 0, -184089472, 0, 0, 0, 22924848, 0, 0, 0, -4792, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4507447951622774, 'p': 23}
  • id: 1141609
    {'charpoly_factorization': [[[49, 0, -36, 0, 1], 4]], 'hecke_orbit_code': 4507447951622774, 'p': 29}
  • id: 1141610
    {'charpoly_factorization': [[[9, -3, 1], 8]], 'hecke_orbit_code': 4507447951622774, 'p': 31}
  • id: 1141611
    {'charpoly_factorization': [[[2500, 500, 50, 10, 1], 4]], 'hecke_orbit_code': 4507447951622774, 'p': 37}
  • id: 1141612
    {'charpoly_factorization': [[[8, 0, 1], 8]], 'hecke_orbit_code': 4507447951622774, 'p': 41}
  • id: 1141613
    {'charpoly_factorization': [[[7396, -344, 8, 4, 1], 4]], 'hecke_orbit_code': 4507447951622774, 'p': 43}
  • id: 1141614
    {'charpoly_factorization': [[[256, 0, 0, 0, -25472, 0, 0, 0, 2534448, 0, 0, 0, -1592, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4507447951622774, 'p': 47}
  • id: 1141615
    {'charpoly_factorization': [[[16983563041, 0, 0, 0, -2387741362, 0, 0, 0, 335565363, 0, 0, 0, -18322, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4507447951622774, 'p': 53}
  • id: 1141616
    {'charpoly_factorization': [[[390625, 0, 92500, 0, 21279, 0, 148, 0, 1], 2]], 'hecke_orbit_code': 4507447951622774, 'p': 59}
  • id: 1141617
    {'charpoly_factorization': [[[4, -12, 38, 6, 1], 4]], 'hecke_orbit_code': 4507447951622774, 'p': 61}
  • id: 1141618
    {'charpoly_factorization': [[[9834496, -2809856, 401408, -215040, 27584, 3840, 128, 16, 1], 2]], 'hecke_orbit_code': 4507447951622774, 'p': 67}
  • id: 1141619
    {'charpoly_factorization': [[[196, 0, 60, 0, 1], 4]], 'hecke_orbit_code': 4507447951622774, 'p': 71}
  • id: 1141620
    {'charpoly_factorization': [[[6250000, -3000000, 720000, -225600, 51644, -4512, 288, -24, 1], 2]], 'hecke_orbit_code': 4507447951622774, 'p': 73}
  • id: 1141621
    {'charpoly_factorization': [[[1500625, 0, -129850, 0, 10011, 0, -106, 0, 1], 2]], 'hecke_orbit_code': 4507447951622774, 'p': 79}
  • id: 1141622
    {'charpoly_factorization': [[[937890625, 0, 0, 0, 64066, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 4507447951622774, 'p': 83}
  • id: 1141623
    {'charpoly_factorization': [[[1475789056, 0, 15366400, 0, 121584, 0, 400, 0, 1], 2]], 'hecke_orbit_code': 4507447951622774, 'p': 89}
  • id: 1141624
    {'charpoly_factorization': [[[11449, 3210, 450, 30, 1], 4]], 'hecke_orbit_code': 4507447951622774, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 57, 'hecke_orbit': 2, 'label': '630.2.ce.b', 'level': 630, 'portrait': 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OxIBiOfwBMIa5ibMqyb1Cx1QjoDwTDxWe4LNk4aFtuG4+cUNT9g4wxsnYvYMDtk/eyIjbMjtm6wbN+ouGKbT101OXJ8gq8/HfDo/oQnj8Vo1eUtL2vzjpdY6mqW/cemOHLa49R5zdkU3AcXLDddNc8vvmeZbesmOX1+ivPLNRbbPkttyXJX0+1pekPB/qMLHDjRvuKJA/MvP3Ly3M6jp89/8ebXvTO670ufeL4h8U3d/kEz+NJymyiyKMV7733s8Et+/rf/Rr7rlv0v+ffvOOXNL29gqT3BYrvBYjtgse2x2IaltmapHbO4ojm7AocWBXPrVvhv37/ICy9tcOLcDKfPNzm94HFu0XJ2IeHkvOZ8N2FqZshLr+nx4sshkHVCFXJuqcaZBY+zS4L+CJLEUAsMzZpmejLBAMfOJnR6sGODT7M+wloBIqA3MGzfOGJxxQPrpMhKD0YJWCxL7Ygt6326A4VQFmFGTNR8tm8astIXHDvtoY3H7ISkVROEPiSJoD+SnF2SnFm0nFtOCMMh+Ak3X9njJVcJ5ibqLC5PcOJcyOkFOLeQcG4p4dQSHFq03HjlAr/8/ctsnJrg+NkZzi7WmV8OWGhLllY0y52Y5Y5mqWtY6EpOdGBlqctv/vtR8r2vq38tmPtREzSu/JrE/LzGJ6xNPN9QueDtHyyD//FH/pqX3nwD//E//sdf+Yu/+eq//8O/+PLFe46v7Dx4qi9fenWXizYbtPGwVmGtY2+sBCQgEMLiCUsg4fRinQcPSq7ZvcTl24Y0auB7ksBXBIFHsy5p+JJ+z2ff0Rp3PBpw7PyIThKz78SIDbNLvPWly1xzcZcbL29zdCFhoS9ohEMOn7a0O02uvkiyMtTsOapoNTyeOQaXbLYMI81QB3hezHQL9p4IUZ7GlwmeD4OR5IWX9xn0JddcrOkMNMdOt9i1UdFsRKyMLOun+iz3Onz8q/D4Ec2TR4bs2LzItZd1mJ6JePPNXb7zFZbdG1voeIojpyY5dNLnxFnDyfMxJ89rDp0XHF+JecGl8/y37++yYWqKE2dnOLfYYH4lYLEtWW5r2t2YlZ5muWdZ6gnO9RXLnYSbLl/gp952XtY8u3P+3PFdg4F+UTixq15vTH/5sQc+ze9/4C+fb8isefsHyeAf+6u/4fqrt6kv37vvfz9y7OwvPPb0MXVmKWJhqDjTt1yz4xy/+RPzXLe7wbnFaRbbDZbaNZbaPksdj+UuLLc1y52EpW7CQhtOLAu8+pBbrlriu14RsWt9k5XeBOeX6swvBSy0BUttJxGWu4bOwNAZWfrDhNmJmO0bDCAIfcvJ8z5ChuxYr9i12bJ5fZ9zyyOeONDihkssjfoyTx+codWMiCKf2WnDYAhXbB/y0a9Ocdm2hNHIsm5SEusBrVrIM0eH1P0m112a8OThiHOLAVtmQ3Ztgu0bI5SKObkAgW8RwrJjQ8J0S9IdhPT6Pp2+z1JHsbQCi23DUluz0NacbcPiULN9S4/veuUCt1zuUfMnOLMwwcJyjYUVj6WOYLltWOnGLHc1Kz3LYg/OdhXnVhJeeNlZ3vcTi1yypclie4LlTo3ecBJV363D+sZf6SWX/HIoT+qXv/qfPd/QWXX7BwXwffv2U6vX6qdPndz+2BPPvPvI0VP/fd/BkwwiSW8IKwPHKKe7CTdedJbf+Iklrr2ozvnlaRZXGix3aix1fJY7HssdaHcNK92E5W7CUsdyri043bMgerzjZW3e/ELDRZtqRFGD5XaNlV5Au6tY7gm6fcFwZIkSi9agpCX0oR5apiYs62diPH/IoTMRTx0MMUmTN74owvNXeGTPJDs3wRceTHjZ1SHn2wNqniLRMTPTkMQ+np+wuNjgpdd3+ML9LXZtgocPjPBp8IYXGhIx4KlDmiMna3gyYMO0x3RTUA8FQSBQAhIDUWwZRtDtW1Z6hm7fsNI3LPYsA63ZsbXPm1/c5h0vicC0WFyZ5PxS3entjsdyG1a6mnYvYSUF91IfznQU8x3NjZee430/cZ4rd9SZX55ipdug3Qvp9nyWO4KgsZV6c8N/2bz98r/asmXL8eFwOLjkksuebyjlt38wAD929CBz6+eCAwcO/uCB/Qfe/9Ajj4vFpZ4cjgy9oaE7tHQHsDKQnB9IznRjXnjxeX7tRxe5/uIaCytTLK40We6ErHQDlrseK11Bu2tp9zQr3YR2z7Dcs5zvCs60DdNTfV53Y5ebL0/YsUExUffpdGuEvgQUUSIxRmAs9IeAMEy3hhw4ZTE24vaHm4z6dS7eEnDLNX1is8Ldj05x3SU+B872aC9P8OJr+nz5kZANM5Y9xyz/8u0d9hwN2TAjueNRxS1XKJb6HQ6fmOG6SyPufmpAMmpw85UBu7cNGSQ9vvSIAi04dNJjouHhCegPJMYKtLHECSANXmBo9yzNVsy2TSNeckWf192QMNuscW5pksWVunOcuh7LHUG7B+1uQruX0O5p2n3LUl9ytitY6Ca86LJ5fuVH57l2V435lUlWug06vZBO36fb9+j2Fd2BIDE1c9HFV9udu3b/1EW7L/7wwsJ8dPll/zBA/g8C4EkSy9Fo8NaH7r/t4v4ged/DDz3i90cwjCyDoaY/1PSGht7Q0h0I2gPB+YHkdDvh5ivO894fneeG3QErnUnml1u0ezVWugErPY92V9HuQ7dn6fQTOj1Nb2Bo9y3zPcF8D2I94tpLBmyc0fT6lje9eMTOjYZESzxpiWK464kax8/X2DSd8PShGpgGl29VXH+ZIaz1eeRAn/mFJlftbDIxtcz9T/rcdEmNxf4Ky8sTbNxoeXCP4p+/usdDezy2rvdZ6LVZXprh+iv63P+0ZqY+xVUX9zjfbvPgs1PUvSY3Xma5dPsQZI8njgjWz8Scm4+5+wmfYayQErSx7NwU8boXR3R7is3ThusvgShqsNRusNQOWen5dPqKdk/S6UGnr+n0NN2+ptM3rPQtSwPJqY6gPRhxy6Xz/PKPLHPjJe7iaHfrdPoh3b5Pd+DR6St6Q0l/IOj2Nd1+wvU33BiD+pnv/I5/erDZqH/O933zfGPrec9kRqM+STz4/lNHH/7NhbP7Z86eX6ZRlwjpAkXc/9KbswCFsEhpkdLjof0b+PkPerz9liW++9VL7NoScXZxgjCoUw8DGqFPs+7RrUtaA5/JpucumIFmw8gwGFm6w5Cl+RonT1iixHDqbEIYWkAQKIsnBf2BQuCT9D1esFOwe7Nl+5Y+I93ltocUew9O8/obQq6/YpmP3GYJRIOdW/o8eb9iy5Ri3USfmqoTxT7nu9CseWzdIHh8b8T1l9Z5xXUL/MmtAwK/xWtfZPHDPl95MOILDzR59kidizY32LlJMzcdsWtdzNU7NUoZPGUBSyMMmZsKiWKfbj/g6QO+K1EYOCD2BtAbWnp99927A01vYOkMLCsDmO8rzi1bGpNtfvqN8/yzW0Zce1GTMwsTtHs1ujm4Fb2Boj+UDIaCwcgyiiHRcO99D/kTkzO/OTv34NIrX/aif9fp9P9kYqLxvOLreQV4POqB4EfOHLv/vYf3fmUmGvSoBwGZE2IRgALhlhohQArXSaOkRUlNICVPHpjjsf1NDpw+z9tf0uMlVw6Zak2w1G7Q7NSYGAT0+p47OUPJYOjRH3kMR5ZhZIhiSxxbEu3uURJgDUgl8D1BLRBMtQTTLdi4zrB1Q591022++Ajc85iPNJO8/gafF1ze5b5nY6LhBLe8QNAeDDi/2OTmSw3rpvrUvZBhopjvxCgjeMGlHo3WiEf31Xj59ZO8+Nouj+5TYCe54cqAH37LEl9+POKOh5rsOV5j+5xi40yd6VaDyRbUQ/A9i5JgLOw5ItBaECeCKIFRjPuOI81gZBiODP2hoT8y9AbQGcF8T3K+CyMz5DXXLfHWl7T53tcakmSCswtNOr0a3UFAb+DTGyi6A0V/KOin4B4MDcORZhQZBiPD2SNnOPXx22b6Q/1/vf0tr/C6vf4HW83nD+TPG8Dj0SJS6B8+f/Lu9549+uX10vRoNQKU0ogU0AiJQCCEQgiBlKTgBqUsnrL4ylD3BQv9Oh/76la+8liHl129wntes8LVu3rMTjVYXGnQHYT0B34KbOXukWAUS+JEkCRuqbfpcqGkxfOgFkCjbphpxWxZ3yehx4FTMR+/u8bhE02mwjo3Xelx8zUdHtzf5vavT/CiS2ps39Tno18VKBEy0YpZ6Y0wFpSAuYk+nW6ASeq89WXn+dgXGuw+V+PNL+oTxYvc/dQssa7xwivX8+abOlyyrc1XHu3z5IkGTxwJ2DojmZkQNEJB4LuLUAoQwmIsGGOJk/RijS2j2F3IwwgGEXSHguWRYKkLwhty3WUrvOd1K7zsSs3sRJ3lToN2t063H9Ib+vQGxUrQH0kGQ+inF85wqBlEJiUL0EZx+nyHj3z8jvWDiPe+45+81J45t/THmzbM/L8D4Hr+V1kZbGe08MkfiKLB+7rnn13niS71Wg2ETn9LIASOuYVECIEQEiU9pNQoJdLl2eArS+hZ6p5geahYbE/zibuaPPB0j1uuXeE9r13hut1tZnWdJAnpD2v0Bj6DkUcUK+JEkmiJNgJjhcuCCksYGBq1hDCICPwRpxZH3Pqw5ODJgCMnp1EmZPemgCt2KW64vIMK53nqUIstUw2uugg2zi2z1Jng6i2SxFi++FDIqC+Zaia84YVDPnd3zPGzLS672OfMypBnDvts2zDNtbvmue/JLvc/IxhFAZfvmuHybSGXb+1y6MwSB0/BQ3sbHDjcpOEJQk/SDC01H6R0xGCtu1gTDVECkRb0RoLOUNCJITIJxg658ZIO73ldh5ddrdk0EzIcTrLYrtHthfSGAf2BR2+o6A8Vg5FgMJQMRq5vdDjSzuMfOXAPIsMwciCPteLo6Q6/99E713993/z7WpPN5Bd/7wsf2XvwNB//9R/6xwvw//irf4Bc9+fow2/5Xpsc+e24c3LKEwHNeg0p41yCCEHK2ji2lgKlBJ5S6aPBUxrfEwSeIfAtoW9pBJqpmqA78lnuTPPJeyb46hNDNkz3efcr21y+bchw0OOqXZZtGxWj2EfrIs0vsEhp8D3NsXOWI2cFKwPDZ+9rcGphGhv5TNcUm2c9dmz0uGgLXLW7g5ELfOBzTZaWJnnR5R5X7W7zlScEIvFZPy1pNhL6cYC0EqxEeQHtoeDckuBK2+CVN3T52qN1Nq8LeNFVM/zQWxb48Be6PLSvSW/os7jSYtfmOpdt6vPCS7t8x8u7nF5a4rP3hSz2Q46d8Tl1KsBXAindqmesRRuIjUUnhunZmGuu7DMaxVy+bcQ7Xzli/aRiphUSxzXOzNfoDwL6I7fKDXJgSwfukWA4wq0EI80wMowi7Zg7tinIYRALBpFgoD1Onu7w9N/cv+6qizf89s03bIw//us7/mL+6G8wt/M//OMD+I//94/TesG7xff9jHzXltZTf/RdL3+qcfWuACEsApmCugC4FBYpnVSQUqKkxFMCT6WPnsD3NIEnCHxDzbfUY0sjskzWNNN1QT+SdKMmR042+bW/mAGTIJKEG67ps2tjRJKAsQZrXRJHCoFUAs8P2Hc8YM/BGs2aRyuQrGsI5mYl62c8Ns8pdmzSXLZjBS0W+Z1PTXDs+BQvutTn8p2aQdLl60+FTNV9ZictU62IRt1JIWMk7aFiqWdZbGvavTovvWqFh/f02XtcMTVR44VXTvGjb13kdz8Njx5s0htYVroe55Ym2LiuwfrpITtmh/zHd/WZaLR58gjsOyHxfYtSFiEMWXRuLSQJ7NyoueXqBB37xEmItQ2Gkc/ZhYDByK1ow0jl8m0QCYYjwTByrD2KXFZ2NDKMIsMwNul7NmfuQSwYxIJuJFiOBb3EovsD4u6jU2+7ccMf/db5+cRrvOcT7ZOhndz60/94AP4T//3jbN44rfbf8+fv2H908SN//uB87Yk9k/zaT7a5fLtzRIQwCGGQIkRKi5I+SlmUVCilUr0t8T2nOQNfMfIlo8gQRppRbKnHhlFsiCLLRAKj2DBKIEoEw1gy0iGxrrH3YJMn9oK2Fgdtp419CYFyNR+tEK7aBBN1mGxKpluK2SmP9TOwfeOITXMrxHaJ3/nUJIcOT3L9RYqLtkp2b13mzmcSzi1OcsMuyfSEoRYMCGWIVYJES4S1JDpiuVfj3KLP9ZfXecGlXe57tMaGaUGj1uL6Sw0//Y5FfvvThmdOtVjpGVa6ivllj3VTTaYn6kxPTDLRiJlrxuy4PiL0E3wvQSmNFC6YsLiLKo4V5+c94kQRJ4ooVozi9DGSjGLJKJIMI8koEi5AjQSjyDKK3HEdRZooSjV97N4fRjCMBcMY+jm4Jb0owQwHvGDXMu/9F+d57VWnG/2O+ojt/5WR4c5PrZz4PT217Se//QH+8+/7GNOtQB09efadh46c/ZOHnzleoznBbQ9J/D8S/PKPrnDFti5KaqQyDtzKRynjHqXFVxbfU/iexY8kgS/cSfAFo0ARxQ7ocWyJEu1ckaR015Boi9YGbXB625CDO5NCngTfh9AT1EJBI5Q0G4rJhmR6UrB+JmHHxj6t5gqf+lrE3U/NsLIwwTXbFTs2+VyybYgWK3zxoQZN32NuWtFqDHnqEDx72OPqbZb+SHHtJTHX7LacPaOZXw4YDBu88aYu9z454MApRbMuCYMJrr7I8Ms/sMhdzwz43F3rWOxYdqzXLLc9piYUk02fVsOnWbfUQkMYGEJP4ykntWTaWmktLmFlBImRJFqQJII4kUSJII4lo9g5L1EsiGJLFMEo1kSxISoRxygu3x24Bym4O7GkHUN/FCPjHtfvXOaXfmyJN73Q0O1PMBgeqsla+Gciqf1vVq7767OH/lhv3P3D394An6lpOei1v/vksVO/f2Df8dpk3aebKGIh+dv7JdFI8c5XdXjXa3pMT2i60uBJnepsp4d9z8OPPUJPMfQd04x8SRQIoli4kxMr4gSiWDoHISlsv0QbtHbugrapU5K6JZk7o6STPYEnCANJLZQ064KJhmWqZdgwM2JuuktiV/jEvZIPf2GW9bUa12wXbN/ks3OzYcemZT71dcvSUo3LNyqmJ6DViDl3VHJ+OSTYBaNYMDcpmZqCA0csyx3D2YUal+ys8eobutx6T43ZFoRBgJJTXL1b8GNvPo8vz/O3903z7KkaGzox66cSJpuKVl3RqEvqoUcYQOiD5zmHSQqQogRy3IWtDWgtSDQp0CHWliiBONaOFGJDlD3GJrUdM1cmtSATJ0l6saCTSLqxIRpGTIYdvuuNi7zrlT1eez10ei2Go5BRHBD3j9UIGn9kVdOzovaXOJ759gT4H33k02htfuDpvc/+xrHDJybWNxWD2KCEoCt9RqLFFx/y+PozNc4sL/Ivv6PP9ETCKKzR6dfwVIDv+fieTxBpIt8jiJw0iWKXSneMIxwTpayUJBBr0No5Cca4gMsYm/VwpuB2AHeBq8D3HEBqITRqhlY9YaqVMDc1YN30Cl/bG/Fnt9fZd2SKnZM+uzfC1o0BWzfAZds79JMOD+6ZoK585qYVUy2Yao2YnkwIAg8h3MU1GAUsdWJW+pZ2L+H8csD2jS1efPl5bn+oz75TEzTCGF8FCDHJ7i2K73vtAjdedp4/u73Fg09PsdjzWD+RMNVIaNQk9Zoi9AWhL/F9F6soRWofOpRbXA+rMeRAT7RJV7fUWkwMiXbgTmKIElvcY+fKDBNHKv1Y0EkE3QSGwwSTDJitd/ip71ziP3xPj0YY0O7WGUUO3FHkM4p8+sunJrx6+DvTc1cHB5769Icvuebt334AX1xqo5T6kT/40Cffe/Toydl6KJDasYqS4CeCjvAZSMnKyOM3/spnz6Fl3vryHq+8rsuGdRHdTp3BKCTwE8LAZxR5hIGz9zKAx7EkStyyGyepp61JrT9S5pYYSwFul6RMmRs85RImgW+pBYZ6LaFVS5ieGLFpXYdz7T7v/6zPFx+eYWm5ycVzgu3rBVvWB2xdL9i1eYgXrPCxuz0On2hy6QbJdEsy2dRIOeLUvCX0JFKAtYIo9tixvsNDaDp9xXLHcm6pzqVba3zHK9v89VcCjp4L8b0YIXyMbRInkht2LbPjezp88dE+H/3iDI8cbbJlWrCuqWnWNLVAEPqCwHexiqdwgbMUeU2GxV1kxuKcFu0An4E80U7SObBDpF2tS5QljxLBIIFuIukmMIgMuj9i67our7h+mbe9vM+bbjJ4osHySo1RHBJFPlHsM4o9otjFAb2lU7P11q73XfaCd6jRsP3BsPa/ZuLW/xKALy23CQL/hz53293vffTxZ9Z70iJ8l3p3ALcoKfCloCclXVmjHXl87M4adz3Z5frLO3zPa/u8+UVtZqdCBsOQwSgg9H2ixM8PUhQrkkQRa0mSSGItSBKJ1gJtRKG1jSBXJTZza1yySKXJosA3hIGmHia06iPWTfUYxAO+8pTl43dO8uDTU0wHPldvsWyakWyYDdg8J9m6IeKiLcs8eXTAZ++dY1J5zE0KJpqCiUZMu6/5wtdrtALnDhkLg5HHW28Z8fkHXE1Mu2c4v+yxdX2Lt7+kx4N7u+w5ENAME5QUDuSmwTByWv/7Xt3m0k3n+dhdHe5/dorjy3U2Tggma5ZGYKh5hsAHTwmUJE2Que+dlR+ZVKoZU6xwSQp0RxAQa0GsU2BrwTAR9BNBT+NiniiiWe/z9tcv8d2v7XDDpZoN0z6DYZNOLyCKgxTY7pxlxBQnkjgWnD65Z33QuP+9uy59mRn02x+qN771IP+WAnx5ZYV+t4eSfP9X77zn12/74pdnO+0VaoEiMSVwC+daeKlzEUroSp++rzjZCTn9QIMHnurx19d0eeerB7zhliEzUwHRKGSUODaIE484BXqiFYlOEza6ALixKXOboqZMpDakkq6Ow/MMga8Jg5h6GNGqD9AM+PKjkr/46hRPH5lExCE7py2bpizrphRzMwEb10k2z8Vs39jhxHyXP/hck2RUZ+tWwVTLY6IJE40Y4Ud0Bk2mWhYhBNZCnEhmQkViErpxQLevWe4oTs3XufKiFj/+T1d431+GHJtv4qk4vTA8kqTGMJJsnA254eIO11zU45ljp/j4nXVuf2SK0+06zVDRCqDpWwLP4ivwpEvn5xni9GYAa9xFp41AW0i0cP65FkTaJYkGWjDQMEgsSZJg4hGztQFvfM0K735Nl5ddHTNZ94niJsvtVGsnHlHsp4BOwZ2oYsVNJJ1+h/ajd60fDNWvX3zZTcn8udN/Wm80aba+dUD/lgJ8MBjQaDXf9sCDj/zul27/6sSw36VZ90i0RWq3TEpRBD9KWjxt8aUgUIa6FvRVQD/xOD+q8bcPNLn76T4vvKPHv/rOLlds77B+SjHR8Bw7JD5JUoBcZwA3EmMl1jpJYPOAMk31K+uCWC8hDBJ8FdEZxMx3Yn7rUzWOnJ/m0T1TWBMwWxesX2dZNymYnVDMTvlsmJVsnE3YMtdndmqZLz5meOTZKa7ZKphuSVoNyUTD0KxHCH9EGHp4yv19a0FryWDkMRjGJEbQHRi6PctSx+fs4gQ3X9bjxVeu8LE7atSXFJ6MHSCtR6IDotj1eK6bqnHj7h43XtzjoVec5ti85M9un+L8SoOTiyGBkjR9QZDJMOmOfU7kmVTBMXliBYmB2AhGGoYJRMaCTiCJkWrE5ukB1+xw5+OmKzQTdY8kadLuOmAnKbDdCuulsrEAd6xl+iic+9Xt8fCDd81q6/3uZVdctzwaDj77rcTktwzge/ftZ9PGjerPPvqxi/fu2z/Raa9QCxWxtqgkBbSwxFqgEpuCGzwt8JUlSCw1LWgowUAJ+l7IQPssRnVuf2SSrz07oBmO+N/e1GbrbMLOzQNuvqqLJ1yLmBBOrrispKuVtrbE3FiEtCjhPHNLAjLhmSOSh/d63Ppgi2eOt4iSBi1PMVe3zDQt0w3rfPAJj5lJj9kpwcaZhM1zAzbNLXP30yM+cOt6Nk15zE3ARFMx0RS0Ggn1cMTX9iuGkYffdKCyVhAlkpqnuO7SAQ88NeUKnwaalY7PwkrIuYVpfvzN5zi5sMgDj8/hS0DEGMgBNIokvYHHdKvG1ESTF1/a5xXX9PmeV82z94Th8w/WeHBvnf2HmyTCYzRS9GOFyksfyoFnmhOwhsRYrDH4QjMZRNSIefH1PXZtGrJ1Xcx73jCiHkiadZ8oatDuBulK6qWEo3Kv3d3l6ntuUzrbcthu8/gj900szJ+9+PVveqc6ceyQ3rZj9z8cgO/Z8ywb52aDhx566AeNTn5jZWmJMPQxBpfAIctMCqR05acqwUkEbfES8KXAN5ZQW2pK0NCCkYGh9hlon76u0e1qfv1j09gkZsPckCu3D5mdTHjnqwdsXx8RxyLV2xJKzE2WJZUGIQWfvKvOk4eaCM/j2OkGp841qNUVk6FgqmmZqBkmatCqCyYbiomWYrrlMTsF66YSNswO2bK+g7YrfPLeCQa9JpdstUw0FK2GpFU3tGoJvh/xxQdqjPoSf72rkcwkSrOueOMLB9zzmKE3kvQGmk7fY6XrcXaxwRW7WrzzZR0efabBsaUWShogTvWyT6wVo9glZnpDj3YvoFVv0KyPuGLrkBddNuTE+TZHz6zg+ZonDnv89Z0NhHKFa4zPH7QGMGAtcaTZsSHh3a8esG5Cc9kOy4ZZ0InPKGqRJD7LHZ8kVsTaS+MgB+gM4C4mkmmtT9kAKIwAV+QmMNZjYXGJ9ZuS33jqyUf7Gzbv+PD+/XujSy+9/B8GwM+cPsnK0sKlx0+cfP9jjz4sfU+irEBrixASKSyJtCm4IUlT8IkReInTibG2+NppwNCz1LQl0YLIWCItGBnJSEsi4xMbmO9NcOeTBovmMw+6kQ1Yk96zLF5qkYmsIlEilSKJPaTx8D1JK4Rdc5amb2iEhkYIjVDQrEtadSeHJluS6QmYnUyYmx6xea6LZpnf+psa9z21nt2zMN1I2bshadUTGvWIZmNAvd4gVBIlUw2OkwNx7DMcCAYjTXekXNfSwLiWuWbAyXOTvPTKET/9rnP85l97HF8JEcJgbYzRljjxiWLJcOTKWFsDj2YtoFGv0Qgb1MKYVj3ihksiAj/mpksS3vOaPp5K0iSQcfX2ZVGeSjpjJEJIQl8BAcORx+Ky5+p2dBbzpPdEFjFQWriWgTsDdpZYStKgtXidav7U0n34oYdlFMv3r7T790bR8OlvBTb/HwP8K7d/hlbTqx8/dvAdhw4cFI26Y+7EZE0JBbiVcgkYqSxKg9JOGyYaPO16H5MsotdpVJ9F9kYUr40gMpLESrTxiE2ITm2v8i3PUgrwhHCZSgW1uqXmWWpKE/oQelALLPVQUA8kjbqkUfMcwJuCqZZhZiJhdmrE+pkem9cv8oFbDR+9fQPbphTrWoaJpqLVUDQb0KhrWvWYM4uGQ2dCaoG7oCGr9BMMI49dGw0b1w3pDAMGQ5uyuGSl69Gq12g1pnjPa85z+MxZ/uizW/Ckh8WgjSYxljjxGEWKQeSKovo1SWPoUQ996qGm3XUxRuBrlzDzNZ50jRJS6rTux5YaS1wJpwO5oG3SKkvj4hqtJcZIElPEO4kWpQA/e156TET6fgZul2SKU2Bnjo3WrjzgoYcfFxft7r5jx46dh/7qE38zePe7vuP5Bbjv+8HS4vzPLS+d+zljRrIWShINMnHAVim4tbRok9Zya4FO5UliwNPOr9ZZ8sHY9LXN3yueF5VyzssVeaBU1txAGsy6wMqTBk+S1rSArwS+Z51v7AlqoaQWSOqhol5TtOqSVsMy2dRMtRJmJkasm+6zfcMiD+4f8bG7NjNdC9nQMkw0hAN3XdKsGZq1hFZjxIP74Im9DS6es6nuLdLmg5Hipsssl2wf8NDTU/RHrj2vN/BSkPs0anXqtSm+6+VLPLH/PA/s2QhWYYx25bCJJYltXk8yGHk0hpZ6TVELDGHgEwaa0DN4nsb3XHZYKZOfFyksCIug0HNFcO5KiE3mSJnMfi1ZsRmwjUjZOHtNDuzs7gisCuwkO/epPRkNBvLU6bP/e73eCFqt5q8A0fMG8OGgL0fD4S/d9vmP/bvFhbOBr7xUb7sEg9ICXQG4A7ZKkwpaWTyTPjeugdZo8uc6y7jZLPNmMWkmLktWWGspZd4rK27m1mQJHSXTjKWiVLTlsn9hoKiFinooaNQFrbploqGZbCZMtUbMTg7YPLfMA/sG/NKfbOD4ySkuWmeYasBEXdGsK5o1aNY09VpM4A9pD12xmK9c/JHdtMm0aMBEPaafGPppnXV/qOn2Je26otENqYUtdm6M+eUfbPNfPyL5+p4NWBTGGrQ2JDohSgxRrBhGikEoqY8UtUASBpYwUISewfed3+8pm9b5pKtqKlNcVWfplqb2bUoiNq1l0SngtSkeHRnJ9FEUAE+f61SKJBmJpauzO+8ZuI1LOlk4efJU0Gw2f+aH3vwev9/v/5dGo/H3Tuf/vQHe63VIdPwrjz923785f+5Ezfcl1qZMlSYXtHRXrJKCRGVAthjpwK1TcJvsuREYY/M0ssk9WrDGui7ytAS0fGcM4FnprcjALbKacieJvLQVzfckYeAGANVCN5KhHlqaNUOroZloxEy2ImYmBmyeW+GBvX3+64fXse/4DDtmnMPSqkuaDenYu25p1DSNWkysI/78jhZSKfzU+88Z3GZLuM/3vX6ZLz0S0Y1C+inAewNFt6dohx61ICT0J7hsW8J//+FFfvHDgvuf3oCxEm1cWj1OXKHZKDKMaq7cNQwFNV8QBi6zGXg2z9h6yjiZKIuy5BzgRcoTSEkEl0twbksayGcATqcOmDy5Rsru5CtutjoXALelR1t5NMYAksNHjtW+euc9//b1r3u16HQ6Pz8x8febnvX3Bvj82cNYa198/MjjdSVGKE9irDtYUoMWAi1BGdJHgZYCnaeHM3Bn8sO9Z/JaiaL9ygFduDqKDNTZgR/7XEXvZlpnIimKqdI6cgdwie9LV78RCGqhm3nSCDXNugP3RDNiamLA3FSbB/f2+aUPzfDMsXVsnRbMNkvSpObRrLn6lXotoR5G+P6IU4vT+EqgpEltuSLI1FqSJIpN05YkienEtbRTxjAYarpDSb2vqAU+gV/D9ya5fGvCf/+hef7zH8MDz65HG+kAri1xolMmN4xCQy2SDAOVSzDfB99LnSslXS5AksoUEOnjGhh3coU0KYTIk0MmTQ5l2WKtS++bQnLqErCNKc53joMSyLPzPuqOuOe+h+vbtu94sfx/sOPE3wvgh569lWbYazz84FcCaZdo1NIPnX0RCVpl2soB3ZjsPQd0YyzaI/+SVWBnMqT4wjaTI9nzC3w2KYoiKilBSpGDW0mZNkpk8gRqPoSBoV6z1EOnnxv1mIlGxFRzwLrpNo8cGPKLH5zmqWNzbJ5SzDUNk3VBqyZp1BSNuqBecxeHS/VHPLBH0BsG1BTpRZa24dki0IwTj2ZNcfNVXR58ZoJ+7GTKYKTpDxTdUBEGisAPUv08xRXbDL/6o+f52T+E+/esJzaS2Ji0WbrowRwFkjAwjr39oo7eU9mdVKYUMi5rNlkL5FlSyGYATwGvc+eFNVdek8ZSpkRimRRZDfS0bCDF0cmzy3z4zz8b/LN/+qbGR/7i1v4PfO9b/tcDfHn+KK2pbVMHnvrrP/BE7+WhFyNRLniQonrFSqe5TWnZcoxdXOVGibVZuwRokwO7aAom1d75yRAuUypkCu60yEjlAAeVVgz6HgQ+rhMoSAusQk09lRet+ojJ1oDpVofHD474xQ9O88TR9Wyc8phrGCbr0KwJmnVFo65o5OytqYUJrcaQu58IWGnXmJ4u0uQZYEyqTWOtWD+reM0Letz9sHFdNJEpgVxS8yU138P3AjyvjpSGK7ZZ3vuj5/nZP7Tcv289sfGI0wpAV/bqmDyMZV5dGHgSz0uLsKRAedmxIf982UWYSRWRVaVRJITG76b0aEzpMV95q+CuANmsBezMTLCMIo1cGbx8/4Ejf/wvf/xdP3Hzi46uXH7Jzv+1AO92TjPoz//s0sLR7x72F/E913amNCQivVrl2BJlRKqzs6u8uOIz+aFzGULO3pVAcpy5U6RnGblce8usgq7Q3VnFoKdw9RmexfddY3EtMNQCTb2W0KjFNGsjWo0hM5NtHt0/4uf+cB2PH97A+imf9Q3NZMOm4E7Zuyaph479a2FCI4xIzIhuFCKUxM8YPNfgImWv1C+OfZrB0JULRDWmM5APNf3AMXgYSFcT72Ub0Fqu3ml530+c4z/9vuH+vRuIjcdICyJtUhYX1GJD6FsC3/Wuemnc4SlXIqykTI9P2pWfPZYKs/ILsxzrjIE7J6ESMZXBncdVtnhefi+r1c9ZPQ1CjZWcObfI3v1Hv/vu+x47NIri//y/lME7SydoTW3d8fj9H7im3z2N50mMNekgHrenTBZoKGOLIMTYtKMkK+qxJYCL/EBpUz5gosQURVbSltfMjLXLQWW23KYdOioNpjwv7QxKi5Cy6sGar1PdHFOvjZie6DPZ7PLAnoSf/8A6Hju8gblJj7m6ZrJmaaXgrtecnZiBux5qakHCRDNiz1HLXY82CaTEVyYN4gqPIlu+Y61IjMcrb4i5+KIeh47XmWtQ9DmONP1hysKewvP8tBLTeddX7YBf/bEF/vMfGu59Zo5hXHfJsMTSSGu4Qx8Hci9bvUze2yqVzlc4JUUJ4KIEclbplQLktgrwvEKxWHnXWpkLdi8qGbWp1qln70mpOHzsDHfc+fA1v/yff2zHocMnj+2+aOu3HuAry2fwwqmdJ4/e/z+j4dLbMD18T2GMcZagsalEcT5pHnjk9pLF6EyOiFVLWuYP29zTHnNJVrklKXOPg1tYpMpswbTmRaWs7VkCz+D7htA3hEFCLUiohRGN2oiZyT7L3T73PA2/+hcbefLgOtal4J6qW1p1QbMmcq/cOS/GsXfgAF4PR0RaMxzUqCl3kUkhKpV8WSLFBZqe0/LeiFFkGcSiBHBDEGgC38P3pZsqIP0c4Ai4dpfgV39imV//y4T7985yuj3BsCmZ0pZWYqmlEwdC36bef+ak2Jy9M6mSATz/vOmHLuM8V4jpSclW1QLcVUnpqjlLYK8APbN+GQO3LTS8FSy3+5ybX3rbF++4X7/8lhf82+PHTx/dvn3ztxbgg84R4kH9Re2FZ9/RW9lH4PuAwRjh0vJGOKckZewM2KZsJSmRSxIHapEubVnCpipFygDPDnFZFWYnwY17yNi76MYvhgO5sljfM+mYCZ2DOwxScM/0mF8e8N4/b/DZr8+x0JtmblIyV0vBXXO6u5EGlvVQ0ghtyuBOe9fCCIj46uMBy3HAbEilHhtRXaG0ds0PE6HHq6/v88C+iG4cMpl3rBuCkatVDzwHcE+5hmwhXYIGC5dvk/zmv+rw+QcG/MqHNnByYZrBlMdUIGglhkYCYexGLwfKDTTys0BTijwIzh7LgXr5whQi7xXJzw+MScgysEvxkymBv5zHGAd5lsDL4jSHBcXDjx9ky+YN72g0m3/e7Q2OfksZXCddpGpesnzmq//a9B+i1TBYkpSJXSpXjSUCcgZPM2AZoHOtnYM6kyC2sKHGWbssS9IDnTFLlm7OXACVAVxZPOmA7Xo7XX9n4GsCP6EWxIRBTKs+wPP63P2E5o+/MMGt960nMhOsnxCsqzlZ4izAzCdX6V2kzF1m7xjPG/G1Z6foRx6bGtnnGWfwbHVzpaQ1X/HiKwYkxgF8EAvXtZ51ro+MCw69dDZMau9lw+0sgnVTgu9+VY9WeJoPfWHAPc/Ocjau069JJhJL07MO5F4ahyibxiU2BXl2DEVROy5BUrD4+I6CuVTJRlQwrs3L3UNF7XnG6HqN4FSXCNDk/60g0h633vksl19x2b/+7re99LGVTv/A1Dcx9/AbAnzUO8Rw4RMof2azHe15ReidQdSbJNrkNQrGZM8dm5sSexeSpGDvihzJtDZpMqEC7JL1ULav8uFApXmFaTJFymy0m0lrvlNwK1eLEfoxQRBT8yMajSFB0Ocvbvf4tT9dz6H5GfywxsaWYCbUTISWZgjNtMO+HrpsZy1NCLn6FZ2uBE6eLHQ0vSggUIpA2jzApPRVsgs7q92IEp+6P2Tj1ICVfotBLNJxay5W8H2d2nwqtTtVOmqjHLi6yse3vazHTVfO86t/NuSjX5xjKWnSD32avmTCczU4oQeBIm+G8LKkTz6HRuRZ4CwBVCaVqlgpA53KCmxsVWoW2nzsvspsKGWv0/diozh+qsNn79n7inPdZPPZhfaBx/ac4Portv0/ZHCrCabeujPqPvqBqPM4gW9BJEipMNqircnZyDOywuLWViWKNUV9QxY85gcBUZIkYkyaZOC2BZuk2TdZBri0KOlGTxTMrVOQJwSekyRhMCL0Bxw9l/BHn2/y6XtnOXxumomGz0wNpkNNK7Rp6j0Dt0zBLfOkUC3V3mHgLpyJ5ohPfc3jwLE6tXQCV94uRoHyfIyDdTo8Tjwu3wFvuanLH982S6/hMZHOHgmjNG5QBs+T6dg6SiD3S+fKnYft6yQ//8/7XLPrJH946wyHz06ylNTp+x5NJWikQA+kdRdO6jLlq192XDP7EKfPi0ynXe2TZ8SUlU7kvvlqS9GWQWyrJkNZe+vUZ3ebeUEiPL749f289pYrP/AT73rZm84tdL+hVHlOgBs9RMiQ4fLdW6PuY7t1soxSNXxcyaWWykkTW7B4XpxTfl4p3iEHvy2ztxWVUck2PWFkjJ2BXBTAdo9F1aKSJnVNMvbW+F7iOne8hDAcEXgjujri/Z8I+NDnN3JqcQqj6sxMKmYCy2RgaKTM3cjT9zKtU0mlSeqd5+AOXPZyFEccOBnSi0Kmw9TFyZJOmSuRZWFtqSYl9phoeuzaGqHCId2oxSAQ1GPLKAO4p9NEjXI+tsxKgNcKXhVzk31+/G193vHKs3zo8x3+6JOzLAyaDLwaNU/R8AR1ZQkT69g87ZP1ZFHekGU5VzE5a8iVcYcFqrFUJjlKRFZm8TxOSwGu07KMrMMoMqCFZGG+wx1f37u72axt/e43Xn90MIqphz4Xuj0nwHV0Cqkm54T0PpF07/U95SrZIBunZlKJku2EIF1RTqkKLWdskzF3Cdgp4AvGFtg1P4kt2YE2B3ZFnsi0Sk5pB3BP4ylN4MfUgojAj2gPI772pOQvbp/gk/fOMtQtgiBgNhBMBYZmYGmElkZQgLsWSsJQEqbSxCWGUmciBXjgu8znkTOWex5pEMU+YdOuCjBz4sg1uCOCKFb4vsdrburysS/32HeyyaDmRjOMfEuQgB8b/MiglHS+tRRIIYvhPhTHUxtJYiSN0GPD1ID/9F19rtg+4qO3t3h4zyTzgyZDFeD7HjVPUJcQZgOWMntVWpdPEJRAXq1ZGS/OKjN6RlDjjlj2utDeosTmaZ1O+lobQWwgshBZ99z4ik/e8YT/XW+68ROn59svWFjuzv+9GdyqDXLUe/JFw8XPTWIjlBKuWD5lZ2tkGkQWr7OgswLuMVmS3zNgpxKlzOCVwh/Xo+OYPE8pm7zc0+lui6e0A7jSuRzxvJh2L+a+pwV/ctsEtz86yVK7hazXaNUVU75lIjA0fEsjsNQDUtZ2zF0PJbVAUQsEtYC0Qs+k4DaEvtPfyhux/yScatdcYiXVt9XESVE/4/ogHcgTI4kijw0Tgku2DXjqeEI/9hmlM76DCAc+lU3WzRI1MF6nkV08mQ0Za1cf/u7XDHjDC5f5ymNdPvLFCR7eM8Fit0FbBvQCj0AJAikIJa6HU7pd6pQoLlIl0mK6NRh8Vf3KOJOXCM1QCjytQEMuR3TaF5pYiK0gzsGf6VdLNNS8/y/vmoRXvOiVL7zkNp5jeNBzAtzTR0Khkt/vDg42PamRrhMsBajM3RObg7wAeBnclecm06ElgJcOSIUXKtLEVgr0nSwxqeY2KKndQPzMzZAx892Eux/x+MJ9LT57zyTnO01ErYbf8pnwYNJ3nTx1n1R2QD0Q6V2mJaep7g4EYcbeGcC9hCBIqAUR1sZ89dGQY2fqrJsR+NKkOlYUjb4ltrMlC1VrxWDks2OD4DXX9/n01yN6sc8gFtR8168apJOlilVK5X61m6NOcVxL50en9yTxqIcj3v2qAa+7aZHP3Nvl8/c1uPvJFufbDQYiYBB4eL7CE26khy8lvrCp1LIoREkaVu3DNci84oIVzC3yADTT4No6QLt7weA5qLN2OuOGihokT+093hyM7O8/tvfsFcDg7wzw5bZhZTT43nj5zqmZ6eNgJDopAiNDtrOwxFhVSBQrK7Ike529VzkJ4Hon16gJrASUJWC7AZ1OkogU4J6nCbyYWi1mONLsOwVHTys+fscktz08wfnlJvg1vAmfhpK0fEvLM9R9S92Hmu/AXfPdTEJXZipLd5H+3KYgNznIA9+1px06bXjqSAi+ny7ztpSiFxUUlIMwVy8tSLQb53z1rhFXbu2x91SDQU3QSARhbBkpUmvPpOyduSmZBVloldxnz5NuKp0+4DOMfOr1ET/wxhFvvXmFLz3S46++3ODo6Rp7TzWIVkKS0GPoeUjlpvoqwEsfMybPpQtF8L/qlrspBagNBagNGWtnP3ONzzmobakNEV2kurVg6XCPp555hFOzz20VXhDg88srIoqjn/7DPz0wdfFGnxddGnPjpTGeEkhPYGJJHKmUuVXK0Nm4hnFgy0J3I1JQU3ocg3cWqeeazyU1nCQx6S4PmjB0k1QTrTm7CHfc6XHoZJ27HqxzarnOodNNCENUw6PmKZqepekZ5yL4bnB+zXfj2hyIs7tM7yoFOKnmTsHta0Lfsbe7sCKOzMOeow18WbUHc4lCUQ+eOwqZk2LSvsbE58odAy5Z3+fpwwn9xKcVC0YeBImbCahKAJdSIKSsMDmM228iD2azPspY+4z8gIl6xPe9fsTLrulwarnDVx8KOHwi5EuPNji9WEMPfIz0iAOFkNKtFGlXviTNeEIuW9YCeSXQpJylztyWTKOa0l0XoDYGYterKDw3oPWFV4x48SUjXnnpV9a95nU/86///fcdep/wd68Zvl0Q4P/Xh28jSRL+6rM90BvZtXHA1ReNeMUNQ67clbB5xnDxziHKSnQsK0tiFeiZFEmBXWLxjK2rn8yWIvaCtXMpojR+qIm15fAJwVOHFXc82ODpIwHPHqnTGYWMohD8ADXhEypBQ0HDM9RLPnDoZXUaWdmsqwsPU1kSBIogkOkFYAvt7WuXWfSdzq8FMdZEnFuSjGyI50kCafFKNtsYgecg17ba7xglPgKPuZkIqYb0Yp++J5zTERcFY54ylQykFKUoNht2RBETZa1l2WAkX6t8/ER/FLBxOmL7hpgbLhoxiAb8b0faPH004I4Hajx1pMbh4zXiREGosFKBkGhZygblSYo1tEpFnBc62j2a0uPYPQW2h2b3rpgtMwmX74p45Y0jrt6ZsHMDAM3B4p3fPRTe+/5ODP7eD/wtC8t99eX7j4lREjCKmjxx2OepQzFfeiBm0k/YvjXh6ssjXn/TiFdfF4F1bVH1JqnOlmAESQr+LJCsMHj5krcO0KTzS3zPgjAIaYkjS3/oGP3oSclf3h7SjxWPP1vj4ImQhV7ASAfgBaB81IQikIK6goay1BRunJlKC4+UY+3AFy7pUQa3LwlSWRIGEAakrolLmfueIfCTNCMaU69FnF/W3HF/i3Y3ZHpS4KVefFb0JS7EbKYUEBrJaKRYN6t4w81DvvTwgOPtJgNfOpnigZ9Y/DjzrFOPXWpnF1KedSLzv2GsVymZ0FoSaIX2FInvxj7Ese+sVD+mGcS87OqEF18x4u2vGLL/hOSJPT6DSPHROxocOeuDkPQHHjpSWfkm1ssAPmYZldO3FYAD1iC0RRiLTYFdb2p83yCs4dXXj3j9TUOuuixmx9aESR/WtcAajzgO6I88Rp29YnLdNSpa/GgSzP7zb57BZ6ca719YbF87AggCMAJjFPN9n3mtObJkuP9pwyfuSJibSbDGcv2lEe9+7dB1Z2iYmzRcd3VEs5auOFbkObDV51zkw3nafcETT3osdiT1muTBPT6fu7fGMFYMY8WZswFGeMTWxwgfPA8RenhSEihBTVpqKbBDZQmVdTXgXur5egVzB1lfZg5ulfZoipy9A98QBFmBls7ZOwhilIq48zHFp7/eQgWes9sq+vvCDJ554VpnjodiOPR56y0DPvu1Dh/96iS9pEYz1eF+psPjLClj824hIWQOMPenZEnrlwBu0tEOnmNy31MknoeXaAd0pVHKDdKfriXcclnCzZfFWDHina/qM4zdOLe/vTfkoT0B9VCw0FE88XRApy9TlSS4oCjPd55wrYHXXRezbkq7pgdtePdrh1x3SYw1MDdtmJm2pJ2+aK0YDhXauBEWxhgCb+Faz594P/Dj3xSDn13ssmGmOfEzv/WZy4aRTffw89Oz5bl+NF9jjGFkDOfahnMrLsrdf7zB5+50V6LVlslpw4uujWjVXR3wmunJ8qWeug4rPcXDTwV02grpSTcTxXqOmYSHmwvsgfSQUuJL4cAsLaE0BNIBIVAQqGJGnwO5KBoePNcIkDUel8HtGD4tq/UzBtele0LoxVgbcWohIBrVCCclQZr2VmlVXiWLKSjIq2Sd5t3pRhHFPtMtxbZ1EYEYMkhCBomg7rkhmFkNSZbQUrJc3irzv+X+RhrwG1NkT41Jm08KaZQkOs0bqHQue0KcaFTscgme0kiZsHWdSVcMwxXbh0R2gPQM7bbg4ac8VvoSlSuWalBdOdNpMVazZnjxtTGT0wabuJW9rtyxczLXw8Tu/Jt8HF/q1hmnCoyJVRQNL2tu/KEJHb+1o/yp5wb40VMLnD6//L4Hnzr2qrOdgQMTgJVUggE5ppkwJNbSzpYgZeisWM7c2Sx9xbUAXtZv6ckRApNtuUBacypUEeRImVpZGajTtLMk3bg1841Lj17aSa9It94jB7dr61IEKbgDj7zE1DF4yuKeIUizo74fE4YxJxYMf/alJniBm7EoSwmeCviqRJaxazYk1IHNDdaJYp/3vGHAZ+4e8Oy5Fj3t00jcprSuCtAWnTgqywmUg72sdDGTQrJU4JXdTV4L43kKX7t5KX4KdCWLpJmrG0+fC5MODtJ4wiKsZl3D8E9eakDoVGYCIts/Y41zntcYCTAKHXtk81iSWBJT2JxZ7Gby96pxnY37iO6BVwWTR95nbbJqT5RVAP+ff3I7Uopg/6EzCJniO0vQpEuFi4BL62wGfMi0iHtfWbRfAvea+M7YLQN4NXgRUuYtaEqAL1xaORSuWtCX7rUnSWsq0u7xrJDIozQHhXRntqKrvgC4zGVLGNi8pS0ITGlwToKfsnfgxUgZceysYL5TQ3geoaQiT2T5a5VOd1k6VICXOh1R4jM7MWLHxgF7z44YaI+hhlALfG3xk1SHJ+TOUpFCV5VOhSy2czkKizblvyfQ2uBpg1YS5WXbl6u0WM25FkoWdyENKgW5yP42rulFSJu7XhnQMwdsLYAXyb0iLstxVsmfyDRoLgE7Nyk08fAEvfOfCHIMPhfAv/bUUYSApe6AmnSTSaFaIaZxBVXj9QaucLIM5G8kS0i7ckqF9UIgKVLE+ZhlYfFFCtpUAmTP8/dSsi9KQckbbAMlHNgr4JbuMciAngWfKbiz7h/P5BLF95w+DYKYhJjPf63Oufk6/qQiKNdwlB0UxhRpOXVdqr7Mkj7DkZtg++aX9Pjak0M6SY2+51FPDFGaTleyKIjKCs7cRl7ZX8oCzaxqM7MO05kqFrRyf9MzgkQJPC3TXexcLU+SAr1Ippk8wSalKSXe0ueyDO7U5s33irnA+S8V2pGbEFRZulK3JCoJQSHAs11E/OyaWKsA/Hf+9A6mW7WX/u7H771p4XzbzdIopcvzQTCkJwYqqdf8A/GNN17JBUmWLBCgskdh8SC32pQoZoorWWhclQE7G+iZypMysPM5KArXj7gWwLOAM9PdXiZLbKq3q7XkgR8T+BFn24ZHD9bBC/BSeeKVCpSybJ8YQ7g7TqWqu7x6TuaeeBz7XH/xiNmpAe3lBv1E0VBuZwxfgdJugJKKywAnH3bq/pAcq9QUad9kWjukDNoIfCPQSqKVQStBkoK8XLyWlUPIDOQlUGclEwKTgpy0pDnLRBdJu0oxRqV+pczmpc9MFdxZUV4BcInFgD99U33mLS9dOf2O+6Y2v31tgNskot+3/2Ta19e1xIgw8HPpkZ2UVUZ9dpIQJSZPDf1xUKf2SdlMyq7yLCtWgMPmDD5ewulltRFpDXhW6umai7NOFSdLVN69UgA7a7517J1qbo9cb2eWoGPsAtx+Xp0YI4i59d6Qrz3dQoYegRRu/nZeQViez1Kuoy5Oaj4arVSBqY1CG8Vg6HPzVQPe8rIuf3Rri0iH9LSkpi2jhHTlKlf9mVTOmbEL6kJMDsaTaS+kyMGtlUQp4xhdynS0hCmVIpdrgGwB8kq2OWPybJEuyVSxmszLI/eKGpYx2VLJgmfld+42GMXEIrhONYf/xBpz35oMfuToSaYmW2/4y0/e8c8HK+eZbQgsptCJpTENRW2B+yOmlI4srxKWyvWaftkSg6fgzgAgS6CQFDUP5dEGGXO7LUiy16QMTt6GVWHxtBvGV1Vwu3EKY8yd9mwGaXub72UNB0npHhMR81dfnUDbEJVnL8sBZtHXmDkbFQ3OWLuekW46lM6CTQ+Bz7tf3efPPz9ixcQMdI2BFvgJOYtLaZGJyIvOnF04vn5KCmtSlEAu0F46ukGlIPcsyji54sbsuQpGlz2WeWlyYVGWqzuLMua8KSUHeiFVVgO8QoNVkOc/L1ehViVMkvh0+l20F/3zbRe//q6VpVNfmprZUgV4FMUMh6OL+/3e7lG/SzMM3E5lpcE7BZNnDGQrqfYyoC90E6LE5CV5kgN9rDyzvBtEWXNmoC/P9lBKFFo8rbirDLtJge0pUTgpuR3oOu5dY7JNmbsIML0Se4d+xKMHJQdO17DKR0lJIA3eeJ1GSYCPuyjZPe90MqLkVzuQx4nP7s0xV17U4+v768QqYJAIahJ8bfESkcq3tAsnSXU40smFyp8UJRYXJWlUjPLIZkJ6yuQzJFUq/QpwZ7VANi0TyJicfPUQJXAjsolZa7P3WjebNa9SMHiZvbPnxhZDQHu9EfXBYLfW0cXGJF9axeBnzi/T7g1pd4fpEBj3B6Qogss8kCxVidnxD/YcHztn7jKTjwO9BG6V13wXtlshWYTrnhcFuF2QKfJucS8Ht6wAvDz8x3XbkwM7z1bmzK0JPJfYcV1BMZaYv/5qg8XFOiL0nO9evgjHa1AKcqpYhFnzbbmOO/emjSKOPdbNSN71mi6PHpxgpGv0VUBdOy2elbMqSQrubK0wqSdejoZK2eTsb6bzHlePa5Aok61INn8u823VUw0us/2OMmkii+aIcQYfa1op0n2rC+3GVUC5ZsmWZEuZECDBmgHRcJ4kHub/fQ7w3//QZ5BSsrS8guep/ENIUW4rK4BdeRwD8QXZO/2/Qp6MPZYBXWbxynixgrFlmcGVKLF4JlckyqsCPPDSAUB+tnVgmuH0LH6eijfpc125e8p17jx7DD5xe4uRDFBSpdnL6oU4nsFctSyXjmVVh6daXCsS7RFqj3e9fsif3NbnycN1YuXTl5JAm9Q9ctszFsfJuvYyUV5P0zhqbN+iMpNrA15uIbrR1iotCVDaFsM687ksIr+gkzE97s5nuViOEpNnIP9Ga32ZucvBZwH4zBPXRiCVorO4h0ODUy7tXwb4wSOn2L1zc+Pn/tv7d80vLCDTiUZCOu2dbb1R/qOsYu81wFx+Lcafr9beF5YoIgfO+DhkWWLsLMjMpjZ5XrbJa6q91Ri4s/S9nzUmGzczJG8Ry3o6k/Qeo/yIA6c8ulEAykvliR0rjx2/cKsHpDrQaMwLT7txisSPR9MXXLZlyJMHIrQJGZiAmnY1216qwZVwG7m6xFLGlm5SaxnkUFR6Zh3uXj7Y1L2XDUz1DGkHkUWaYkJANl1LZ939uQFQBJd54Dl2vjO0rGqYqLhMq0FVBfgYk6dl2Umi8cO5Xde99Ccb/c6P9xsTWxzAT5w8w/Lyyuu3bFr3sw889BRKpZG3oApuwI6tH7a0ylwooMzfE9WfCdxFVAZCAeyij1GVWFFVhmpmIKeokVYlUOfP0ySPIvXCHbgdgIuhQH5ZnpTZW6V9nUHEUtfwf/9Ni8VBDRH6Tp5IW1lVisE5z605K9METHGyjJF56j5JPCYaHj/1HV2+8ugEi6OASHoMpCRIeyiLkQ8pg5fr6YXJy2gtJgW3wSKpOisiZXCbB+kZ2JUUKYM7SaRzF4VcphQ6vGgnLGRKFngWVmHl2IytcmsDvDhmGeArdVtWoEcjgvq6n104t/e+JBp8JmfwRx97llot4ODBYyRJQhgGq09G6a/YsT9+wdvYCa4OdhxjbYq0thR5kVpp6a0OpsmBLQVSFePHVAnUnpR4qSTxcoBnmtvkQaXvmRzcvpfVX1TZ21cxQRDx8a/6PHOoDtJHSkmYlcaWrM18j/j0S16wmpCCzfOdKkoyJTEy3eTJ5+rdfd72sg5/clsN44UMZEAoRZ70UVIQlwK6cSYXZSYfs99yqaJAWbcqGCscuLMpYekw1WKsRDGLpphM6yStkFV5kjsrFQwUr7+Z2zjmMqlSvBJoHbG0cAJjfXQyIge4EQFWBGg8jC11gLN2GPANAZ59iZJb4t7OCvPtqoEyFc84DyxFweY5Q34jgMsC4KpUQ+2ldSk+uRTxVeGW+KXhQIXmduzte25q1XLb8Ld3tlhoh1BL3RNRCsYuIFHIakTG6GhN2y7vaZUYnbkpHtMTin/6qj6f/dqQxV5IpDwGWqb2pEjdG1E0Y8vxxIpj7+wtk7N50RvpZc6KSp+nY69NOg47O+5lkIt057xcSqbyxK3OZT0uxuSKqAJcWIS9MNqtcEVaRSbTsXi2UjmMWOo1aDYEOnHf1Xv8qf1sWD+z87YvP/jTR0+cJfBVscxe4EpaC/QlbLsPU/q9yskuAb16F2tLlCxxUgF2dfZ3ucPFDXenCu5sZ4OMuVWJuVcxeDZuohg54SmXuTxyVLD/WA1DiJBe3pxbVA+W4wdRcjWKL19OjuUgR5TkicidjLzdTHtgPS7fEbF705DFvXWsDhyLaydTvJKLU7BnudArqxeShZ1rUza3hU9uZDE3shzbKOMuGpPu3JEntGRBRjm4jUhnqWSaXIxJFTGGB5u/WCVTSu/lqfwxxAncriGe9Oh3zrBuw5U/vfGiVzy+dH7/UU9rzWAw3Cgwb2gvL9JqhPnVLy6E8NV/eRXIx/X2+GM+K4QqyKvyRJScCVEKNgtAOwYnHQVc9sHL93RLa1UGdwnk6X71floamrG3Sl97XoxSMZ//eosDC3UICnnil6zLygXL6nERqw6lLezXcs1FNiWsrMWjyOOidRFvvrnPQ882wPgk2mlxX6fZXV2VSgVzlmkpBbm1JYlSkisyfS7TVUVmd5FuS2PzcctauaLSjD0zYioSPuXnKUuX2tvytpcyuC/gOq0FvzLEhbFY6bO03GZTwht0MtpojDnqZWD2lZsFEvrf+I88563032bMdUF7MDsIVLV2IVNEXgY6DuyczZUoNeGWwJ3OJyy27WA1sL1iQFA+4s0zKcgTJ09UTL0R8fV9is/c2WQwDKDh4UmBL6rSZPzzl7/zhU5WRX+PWYZlXzxOPCZbHm9/5ZDbvtbnwX0Btukz0CGBIL/QVP73Cx1cWktzkJeZ0AWf6QWmHJtr6fS4KbF2FtSbNLiURpT0tygFutUYqtDdRVzg3hM50Mvg/rsD3P2DiQCdeESxyOeMe0YnJDpGCk2jJvD9tcemrYpsRfWwrfqjZbZeBfBxiVKdaFoElyIHTT4vT5V2b1AirU0pwF2APCubtXheMULZSzdh8lQV6H7O1u6ulAswgyAijjS33d/g2eMN8H2EVCmo0rkhpeBSyOpJHXeNsmNYpJvTyaylTKax2bQwmXviWntEkccV2xPe+JIeTxytM0oCtPQZGEWgGfssmRfOGIO7x1UFnyq72AxGuRmT1oKVAqtA2kKP5yuqBGlKswxNsWrIcYCPxyWMAf8bZDqz/2ZNbJY0eRwrhiNLFGlGkcb7/Oe/gOcpVlY6tOq+azYwxdznb8otKQG4+oFWj99di7mroM4YuxxgFjsQFNKkZBXmjJ0BvJicmkuUlLkdY9ucqb38sXjup8Glp2LCIOLpY4Ivfa1BfxBA00eKrHKQkj24Rhaz9D3LvJTVomQ+a3WQ/FjCp1SAFcU+rVbEG28Z8dm7hzxxOAQvYGgkQarFlXEb7JalgdDk8gA9FkWpwsnxFIV0kY7Ns1UlC/KNdWCXpki0CVN2U9JzbgpmH89xrAL4GOjHQb3mbSzxmB27OA546qknOXDgMMZovPbKEkJKoigmDJXbJ0WwCuAXXBrWuMryn1W+jKhcwWuyuCyBvay5c5A7vV3OZiqVVhimFYWunSt97pXng4+BO7372RTatMDfU4m7ezG+H5NYza331bnn6TrUPJCuodkvlfBWSmPL9/KLtc6RLd3JylnJm5G1zeaaFEAfDX1ecXWfN7+0zzPHaiSJjxWKgfDwNflnErpg8eIjrM3k5doipTLmdmzuXgukEbkOz/3+jNGz1TZl8Hxo5xi4KwFnBeSFq7IWsJ8zFLRFKYk2gigRjFa6yM4IrMWrh27Ai8DQz3KpIk3o2L8Tgef/N87YxXP3QpYBXmrrKu8sUAF2RaqU0/SluxoDtyrdvWIT1AzQfgnUmXPiHBP3qFRM4Mc8flTyia+2gACkjxAq7yJS6Uaqcoydsu+TnRqRH5OSoMtARZm5SxrcCrcjhkpHP+T7xHtY6/HuVw+44/4hDx9ykwRio+hrkRZ8paDTGXBKdSAViLjVA0UF6NlPVQp6I9P9fLKgONPeMmVz4R7zc2hKAztl6eKvJMAKSVIcr28UaK4WxOVGHFeNadE2PQCAN4hc0UwUuQpumZ6pMoM/J3uPsXbB3KJ0habvUfLYx3R3IVVEmiworKcM4PmcvDLI09a0YrMpt7NDMQC/AHeFtUuPWWNtJlWUSvD9hFgn3PVgnacO1sH3QbrgMhC2NDm2HFiJVYGVWH3ESjZddnxFydWgqsXTVjajUkdFe4win6t2D3nFixyLD7Rj8ZEIGBrwtCgCP53ZhQ5QhURxH6CapS5AoyRYZZFWoCwu+2kFwgqX4baikCqloLJg7/S8mvKFX5rrvkYexB2l1VpcrAW28uelyMiCazlUyo2i8EaRqzxLEoMxRb3H6pqTohqwvIZkHLXaFswsIZFLlUKaZEtV1TGp7hEzVn8iyPfeyXcvzppvKw0PxdYlSo2BuzQUP3dPlEZ5JYCnEiXwYg6cEXzkthaj2IeGn8oT8tY0Vd4lOL9wi/ijolfWIKMy0Msypbw5gLFraXGPZij5/jf2ufWeJvtOuYtPG0VfK1dlqNPkD8Lpby1KLnIB8uzclgEubaHFZarRpbFY6c6RlcIB3JRipYzJTTmWWmNlKwG67NGXSbAC8OcIPMuEkR1PKaAWCPzA9XCqX/+N/7Eh8NX/deL48csdOMWquyzf5djrij1UlhRje1WO/yx7X2bjgNPHdDxwDtyxezYyoexx549eobudg1IFd3mvnqKYKt39wYvzZgbfi9Ay4k8+1+DPvzQFYQiqhlIeDWWpK5uOoyBvcPZLrXFFJrWciJIUk2GpBKhFLFHYjtlFKyRp42/RC6mkRVjDto0RpxYkjzwVkAg3ecAIhRCulHatuKcKGJEvz6L82pZEjS3qjwr5Utp8imrZQbmza817+b8puUn5FGKqj+NzxPOOsfQfKu8iketxY7niihdsvO6GW77snTp5cqrX674pjmN83yux9OolYYy8Gf+1PBWfH1CgdJALWVKWJGUNTr7Pfc7alTpwW9HeMgdDIUlUSXurfKeH0kZUyo5JkqxSMGPvGN+L2X9a8rGvNHDzVxx755372d8XVMYLy9L3LgeaovyiXCBUBocp14YUcwWzAac6m96rFVqlWlx7fNdr+nz6rgZ7TvogI6yQDLWPR1ovkh1rnSJDZ4mfDKol6ZSmwi1FBanNGT1laetkS6a7pXV/w5rUHzdpgFpZnatsvqY0Kb1Xxln5orS2/H6JvfOL1gLOMGl3um86efLklGdNBFanJ6z4r0XlP8z+aBXdqy2dcYBnH64cTY/JkrKOldXnZYC7LpJMf5eeZ0DOqt0yDV4Ct5vIatJHZwcqZVCZ360SlExQqTzRKuFz9zXZc6DQ3lJI533nHTSseQIF469F5YSUmTBbnMsNyBVPvDSRyjPC1abIIoUfxR5XXDzirS/tcehjIZFWIDy08BgIgadT+y4jHzJHRVDm4zwETtd6awXK2rxU1Er3GVWZdYUtUvwCjHTAN5lMKfngZbCXgbwK7GWyXCV5L4C7Cl7dN0kSS3+Q4AURXkWgZ39MjtcKZDUlovKPXuhKyy6G4god/4KrEwFrNzdUWTt7nbF2BvaMuXOgqzKTF7pbZUFktsWJNHiyGJqvlMb3Yw6fUfzepyYYSp9sglbRNZ+uIOUa6LKeHKeYC9wqy2rqhWctbEXKvqzBRaU+RRuPRPuEOuEn39Hjb+5qcOi0ByoG4xELn4EQKF04GrIcbI6BPPPmLeCVG8oRSOvS8xabsnbmiZsKm9v07xgpELZYPVabCSnwS+Asg501wH0hf7z8+zlB5h1eEq8/1AwjjdauIH58t9vqPyJWX1Fj71ezU2sEF7L6YSrgLgFbjLF2lkipgtsUEkVWGdyr+NspmCt+d+kuHYv7XkQnMvzRZyc4dT4E5aXWoEzlia343vnz8nevsFQ10bUm0Clr0qzxoNyjmelPmd/zZgip0InHlrkRP/q2Lr/6kYB27AICayUjo5xtqLPPYV2SIxcmBciL/3c/UelVmM5vKh5l4fhIaQsGt6Vzl0oJmzP4BQLOEnhNhqsyhi4A7LXALwSQrhyewu2zVHfjR/KuZSlcu9daH6DE05UrLXsv/3D581KNSfbvyNVgGGfuDNgFaxdTWnP2TgvuC0CXmNwzKaObXJo4OWJKUiVj7CR/9FSMF8Z88taQD/z1BCPjO3kiVC5P8qbiMUusortzSTbGAhdg8QxXhVVYBn2WsrfpJl+lUtrUVUmMR81L+PF39th/LOBDn3NaHBRaSIbGBZxSkzN4UYCVnazyxITCrnSgLiSLtSmbi6JQzJGOK3W1lcSPkzF5XXqKB1MmuQpmRBU/lIB+AWAzdtxt6XxkzornRpq5ITieV6TCK//AOMDHQJ5/wNKHWm0Fra5NWF2YY8ckii0FmekW3eUtA1XZdTAlqZKBucTksqgOzHV3/uhmDS4tw998pcHyKAO3A7gvnfb2RFWeVFadzC5b44SU8V3W2hnIs5NRqeob33rRjNWJS4kyCmM8Eu0xGWje8do+n76vwWJXgYzBKGKcHh+vLqxechdmcpcHKpJCWX1KFmzalMVzQKc+ubGMMbY7nwjhGJ5UykBxwa2BpYpcofp6HINZMKwFxAkkGrx6XdFI74GfDpOtXOHVf7wM83GGl+Ogl6vBviogK7c95YApjYiQtqK9CyttdVCZDacpwK0rAWYWZGb73Hgl9vYbCbfeWePBp+qYkvZ2TQ2ZPKnWm+StWSUWKXv+ZYZZm8RT9swttEKijDdDVLrIrXQbD6S+eKJ9PJPw4qsj3vLCPn/2+QBUBEJihWBkPJQQbguSLNAUBajH5UpmDVrr7NqM2ZUsZJSVpUIx6Wa8VJjbioJVKUuVNJmYSRlKF95zMfcFJHLluYFEgNHQGwiCmsCrhzLdf13mdQiraGf8ilkD3GvJlHFg5xeBtIVUGWNsIcbYW1SBXbgo6Wtl8dIRY1Kmjom0qa4uSZLMMZEliSKdexL6MYeOSz5ya4uz3cDtdy3doHclKHZsGIsXVunusu/8HIexwuYZoErMvmqrxWwLxkrXvds/xz267U82NDU/8JYe9z0VcuicBBEDCoNkKGRpEykHqgzUonIVlgrtsv/Ps5npeSizuXDPMzBnsqVIGJZWjXSVM9nzrDdTFM+5EJsDz9nmVsq4R5GhPzTURgavVbPEdWjVs63t0nkdxfdbdaJWB59VKTIOaASlJbKqu7OlKz/weX11iblVBvgxkOczssef61x7ZyzuZeOAVYKSGi+1BYMgZqQNf/DxCe55tO5626TntLeUrmtHFPNX8s+arSzli3kNJi8fPlE9H2MZzMK1KPZ4L5fPlstoXbuZyRwVbUikh0o8XnFDxI+9u8Mv/UHAKJEuA2UkSeqqSCNKn82BvDLCwbqWNEqfT6UzcorYIO2ut2ClTQNMkV8AedCZX/S2Uq8iUvYuB5SrPPE1yHQtNVH+nG4ctaU/1PQGCbWBxvPzyU6uTCHRqUgfK0CxVAG9WoOvfnQ/s6uK3wsWLA/2WYO9S/vPy7XkibR5t7fbNtuUJEpp7G+mu9MZ13lwKRP8IOGrD/t8+p4Go8iHupdr75y988CWyn0tb798EtxdfEPGyYBdSIOi+MqqrMqwWiuujUQaJ1UyoCeJR72R8I5XDLj9ngF3PKycbYgEIYmFxyBbRdNPWVTypWwtM4/Flj4bqUWYgTr9nBJU+v2y1zaVJhnQs/NrhcDk2w+mgacsYWgMPwW+bG5Brwnu8gpoLImxxJEmTiyxtnjZQc4CJCUraqx4MsZGF2LuHNzYNQC9msVFWW+XvWVZciwy/Zvvp+5e59o7n4RaANtTY0BXBbi9FNyBH7PSs9x6X4N9Z2pOmghXEisy7S0oTZCyq8Cdf7f8+4sS0J9Dn2SH1zrWzCy58RR2Du5Vw4GKGhUpFdJopPGIRx6Xbox5y8t6PLgnoB2l6Vfj9HiEItsHQpJ642t22jqNrcpOj3Rui0pb2go2z6RKmvAR5M3rDugiP++G0vGzBcOPA70qUS48R6VSLJbtx1DCqTcYCgYjQZw42zdj0VyirCVN1ggGykM01/aE3YGAssVWTZYUAWYB7ALcmQ9eBJcyH8xuK4xdCSizRE7ZRZGuU96g+dPP1/nAp1pY4aUHoMzeFNpbrvG5S9+xmviquk0XYu/KyWFcf2dMvrqVLd901xiMlhjpfHElDbH2kcrw42/vc/C0zwc+7REnBcgNgpFwG/jK/K+XNENlaUl1BW4RKMIzm1fw5UAXDsgy+89EJlWKEROZVWhFSXuLIugtYoPScVw18s09qaiqrFYmfc9T0m3eG0q84cgyikBrV62X+4jj4B5j7fJVdWFgV7N8FQYvB5Wl9zKPO2P2YiZe6n2POSYyA7cakydje9ardO8Zp8Fj/CDm4FnJp+9q0uv5UFer2Tuv+S6tLqJI8FQk2dhz+MZJnoLBS6DP79Vdoo3J6j1KQJfFfjVGOi0upUcca1rNhLe/ss9t99Y5eCZNKrgB1WghGLi1xn3GLI1tC7DbHNSpW0Ka/MkXnMxJyVL3jr1VCtZCnlSBngFbjq3y+bHLXZcqc4sM2OkFtiqeKT3JRmV7nsBrNAPiyHP9jekfzasTKnqyiGwrj+PgXutDZyDOjfgyA9qKPBH57LvCPcnBnTG3KA9mz5wTU9luQ5ZkiZSpY5IyuecljGLD7Q80+cpjdTccXPoO4GPsnRV5KSGoBMOUg6gxJi/Jtm/mlrN5nrov7sak2cPMSUm3InG62xQyxUi0kCgtMUIRjzxee13Ea1884MQXfEbG6fC0EooEj6EAaUrbVgmRG9hZ6kflCChYUskU5FmKX4iC7K07p1akgWcF6EVG1eTJnmJWjhC4sl5RxVueBLK2WGwyoi0Rccbg2liE8FDKx9u6ZeuK1aPbwpr/z0yWrl8LzKUlYk07sAxsCiCvyd45mCktXxnoS4ydAzsDelE2WnVOqvpb5el3XXqeIKXr1JFBwt0PB/zahyfR1iucE6kQQrp9gESRlq8yeNnxWZu9v4kkZoVxVpeRlhsgio0HnDxJi7FE4ajkmlw6b1wYjyQxBIHm536ww76THnc/JDGBSCHrvkBsFAPKgsqWZMkamjz3wtPVNvu8aUCZ6XCRXgCGYpSELeMBCp98VRNEqet+nLErmBTF66w0ID2Avu9Trzdv27x564q69qqtvaWl+UMCfszoJJ84VS6GKhexVCr8xveJGX9frS6YKhdJFan3zA4sUvFqvDqwFFDmBVUXAHdZqniVhI7rtTy5JPi1j0xy32NNtymPdO1oSB9PCuoSQkm6yZVdXbtduacN0PmQnOowoqzmXaqxhunScStei9JFb1cf14wMSnMAxbjUK//MwrrZhNCzPPhkwMqglMtOw8xsinhRcVhIgdWjn76ZZalUjFuSXg6H41u3r7XPExSbVFXdvGz7kvK/MV4Tqa2lFtZYXFr4gWee3bPPm2xopBQMR4Y4Khi6qqlt5TWswdzp9y8zdTlF6/SVrbB5xU+ubItRlSZyDc2d7TCw5l2VA8u0FDZ9rgPNRz47yWfubGJrCoRKgw8PIWWl37Lob3yOjvky+5SXuzFcjGtGO/a6DIjsZNoxZ6Xc4WPS+YE2ZW5rTVGjIiTSKLTwkAPNO1414NnDPu/7oEcUJqUlWGCNz4i0uSXLr2tnYltsAcp0Vbek2c20Pyw1gFywmTEyjs2dPVgsCNn5t5QCzAwjOsNPyuJ2HGulZFDmp9tCvhQSytIfGoaxxlqLd/KcTg+vcTahIt8rJx+iCGPTrqqOCWPLz2qQ2zGJUnZOLOMjeCtgz/xukQK8pL0rDC51yUkpg1sjS7UndzwU8uEvNBnqdAq+yKzBNGspbEV7r5maLwO9QgRjcqUC9rXZL9vNIPOeV2U0satKaK0sZTZlyVkRyhVmybQ4Sxq08Qh9ww++ucf9TwTc8ZizCzNvHCkw1mNkXDtaXkQybh2mSM2llBAoMmlSAnnW9FDS3NnvZKAVEqS1FZKw6fGyJTIlIxBbdVcq/QU2nY+YLkOelMzOSBoNhdYWb2HFld540jJRT0c3lGRGOTCsam7Ih5oL8j111tTgWWp+LeckA3jZHiyDWxQ7e6lVOtxUPfBx9pa6CDC9mP4IfuWPJzl8KsR6xW7JFe2dSaQKsMcAzRpgziEsqnh+DkFuVy2zVT1eFF+V9fjq2hQj04pDWWZxhdAGITxkZLhoS8x/+eE29/9MSHeYfhkj88+l8RjabBnObJEC5FYCJgW1JXdYVBpQWpl60Ol/KtKalCLJU5K82e+USS/T1BXiLIbmrx7eSe7GZP2iEvB9SavhMdH0HMAvuWgOKRWDfo9uZyHtl7QV3TfOTmArhVSyfHWVZEu5GaA8M7qQKKXRu2tKFFPywUt9iSmb58xdcU1Ku/OmnrfnxSQafveTLR7bW3Oet8yYu3BOfFGVJUqMff8y2MeYO42cKA/dXIuvVzH5mHNSNEBQFDNZV8y0qtpQOAbPg04jHci1xIj0rlOpYgzXXx7zU9/Z5n9+fIpIpywOeVSoUYxMpsXTXHsJ5LlEEaUsp3Ab9Noym0sQpmBumU6ZtbaQLePH1OayRFRkiIUKwY6zuvt7aT2MdRvbauoYOYG2Gu/Vr3kj9XqDgwee5ev3fRFP+flcv6reHNPhq3R5dbLp6lEB4w5KFdAF4O2YTKnuz1iwty50eTmpU7mngWVN8+UHQj70yRbtge88wNTzJm3Sdc5JkbUsl/Kqyuderb9zR6kSlon8tRgH9Bhrr8J7BeiWcgKoYO10KmwmScpJIOFsRC0V0hpXr5IoJmqGH3lnn0eeCbn96woaScrU6SeUgsRIhmQxRQFyiyuNJbctneedxqqurDeTMCaTG4V8yVZvC0hbtVbzacQylRw5gYgqcYrSz53QT90TdxQ1giSOufba63jBtdfQ7fbwfM/D9323nbVnCLwqi45LjkIHZYxV0t2VedCsAnbB6rakacdkSUmSFDKl2GHXAVxX/W7prECZ76vuAkspE6SXsPeox+99YoKDi4Fr90j9bvcoC/YuNTxXQL6WPKlIk7FpTavVSFWlrHIXyixeJFbyRgjWSuOPDQnKCrGsyTeVFZlUERYhPWRs2T2T8JPv6nL0rMeBUwLrlQWWAOmjU5AzBnJSG0/l0svmu4ColN2zQDOTrjmLj0kXx5HlOTkgdDW+oQz29Coo5Eta+ptfRAKrLDoxCKHwfB/P8/Cy0We+B7XA7VdTLalcrYsKqVKwdRZoFtV1Y8wty0Av5EmFuVOpolIZUjB5SXcrk74eT+YUQFdKI2VCECacbQt+5YMTfPqrDayvinR8Kk3WYm9VugBXOyflCzz73iX8lhi90OFVwFdYewzs2Xura1LKOjwDdDkAzTp/ZFrUlD1Pg09tSDD40rkq7ZHkZ39TcW5FQFimW4HFy5m8kCfphZY9pqytJFiTypfcTRFpkFllciGdW2JLDS62JEsy6WHFOOYK2ZvLFIo2t0wWawNxbEl0UebgKSXx/fCs54kvrVs3+YZ41EGkRSNrxUlVkc8YY9sK21d1eLF3yzjIqzvmlqRImc1FCu4suBQZW7tMpUxdE/fc1ZpEGD73tSZffqiR1ppklqBMGTxj72LX4PK8wTKbrCqLLWnx8jI6ztz5sRvXImNyZfXsEJFXyGVVeuVKQ5m6KZke10IgRJr4SZ0VKSXGqvQ9ibCu4jD0LK9/4ZC3vqTPn98miRLh0rbZh5dg8UmsYJh2BltRlillTe5GNts0IWdz7e0KsmSpKlGmP8seBak7N+ao5BZh6XmZVMsp/PIxNpFmZmYai/xSLayd7fUGqF//jd/me9/54hVP2RUpou8d9s/hKVXVwSWWLdt8OQPnCZ4iGZE1IOT6tVLuWk7sFHswVspgK1agrYC7zNzljngvBbfnJWhp+Ow9df6PP5zkyNkwbWIoEjpIDyEFoYSadIPsvXQMXBaDFMmcYjScsw+Lwfz5lFsBUkrybVVEdUi/m9QlxxJiFHNgKsewFNCWyxjy90v2pXQpjiyQW12abCurihCAscxMaK64OOHEecWB455L+OSoKa7WzAEpxl+M/85aLDiuyUTl+i7X3MBYMie72Ev/SKVmfiwoL/cw9IcxF+/eydTU5L9/8pn9D/yTN77CNR37aohShtAfUQs0CFNsUopjj2LJNWN1KGPsXUq7F4xuqxJlrcBSjO2BnskUVbgmsiRFMnDLUkCZWYK+rzmyIPnQp5rsOxRCS+WSxCV2nPbOpEneZ8m4R8/aHfOiCDbzUy6qAWXVAy9Wvuw31kr2ONY2YwmfwkWRpfNRTt9LAca4XYczb1zkzC7Tc2Xc1CvrvPF4ZLl8d8wPvqPLQ08FHJ0vLVV50OlkSIJgKFxwSWrJWVOuQyl0eV6jUlU9Ll0v3c+ELS7CXMZQYusMVzmTF9WDFemXHw8n1YaRpdPXtLsxw1EMpJtQrd98Bb5fR5DQWTqMsUm6dUZ1CGf5RJU1eDk7KcaBLcoAL285VwSborQ9dAZskQeXhsJNyQqnSrIkfy9lb6VZ6gp++88nuOuxWlElmGUsU3ArSbpDcXkMcqHzVAnMa9mCawF/3AL/Zm/l7vpKVWGFuTLJ4gCVyxRRAn8p0ymFxQiLMO44G6Hca6HcZSQMum941XUj/tV7Ovz3P55ieZABO0WcESnIPRIpcgclAznGAZkM8ClZZJ8x3/MqK3FJLwiRXgTlDh87doyLQLPAU46/EiatzRp1LAiPiy/azotvuoZur59do9BsbWJy3VW3e/b0r01PCnyVlFyM8RrstZt/VxdI2WpgWEq3qzUSN0o5u69wS8a6clZVB2bPk0pCZygtf/CpJh/8ZItu7LtCqoy5U9fEze4rnJNKUVV2kDM2H8sD5Ey9Jpirc66/GaSPd9fnQKa0HJd+t5rwGdtfx461uaV141l7WzbA09hiD86WBz/2zi4//o4udZO4jl2bPcZgErCJ65axMDIwMoI4vSdWEBvcLHMrSLLtwK2byJUYB0Bti63C3c7KIn8/H1VXep7/bvbaZjPAi3+j/PtRbIlFnT3Hln7t5psuv33Xjk0FwOsT2/jgh3+mf9tD546cWhYoVbgnUlRdjmpv5HjhVNppkwO7fFGs9rdlpbWsYOyyBSgzQCudypgskVNlbikT8A3PHvL5y9sbdOJ0MiYZsDPfWyJIpUl+t4WuTeOGNTOVY8FOrm3Hg6DSf/PNIL1oVxuzDN1CnTNz9SIoNSXnoJbV1/moiew9hU3b24xVWKNIYkXLs3zP63tccckIqZMc1FWw6wLkFiIDcQruJAV2kgI3seV978Ua4C6BPNtVbgzoOYjXAnTpnhFEomH7FstFm48d+a/v+/n+JRdtKQAOcOON38dLbvlh6s2bWFx2+2Xm5yZfhqtMPR4g5uDPgW3WCBpLTC5Wg7kKbFNaAcrgXp2K93zNM4d9fupXp3nqQIj1ZSFLcgaXJVvQ5oN8xndqWMsaXEumVBI7pUCs8Am/SbkyHmSVQb7KLiy24K5s4lrq28wHBlmZ++O2NBnLGJWOf1No62EixbUXx7z/Z1e4avcIYl2APL/HKdgdyIcWhgYi40AeG0FsScFdBnyVrXMmthcGui6BuczieVw4FqVKAc1Q84obr+SH3/0evv8d78qPZw7wnVtm2L1tHdOT9bzYvdDRpYSMrLJdhdVVFcx5Uie/CEwuRarAL7H4WtJEaqSogjuzAx24DV0r+f1PNXl8T4hWJdYWRb0JlGzBCqjL36e4oMfnDq4aC1EBe8Hqz1F+sqY8qWC8lMUcZ/XVzL5aspT328wm02b1KXZsMpazEN3OEUJLrr9ixL94e4+W1I4S12BxrAbjPOcoZfM4Z233mNhCshRALoG4xMhl5s5+vgrctipH8nqc7LjlZkcTvE0Ib0N+XL3sSRhK/MA7OD3lH2pP1nZHoygfwll1TMaylBS1BkLY0r3wu0VJ4mQp+txByd5LGT177nS8Lphc6PTCSMEuEpTQeL6mb+BDn27yiS83GWVgHmNuhLPo8oKqC7B3OcBZxdiiAHY1mSMKybIK2d9Inoyzd1GeOq7DDeTTmwpwlyWLxRjnh8vUWRBWINIaFWGl85ytdc9NGnRai9aWQFje9do+e455fOhTLXox7oCZlAqzx7SBTRtZBJJpqt7VyLhspRJZrUqa8RSrk0Dl2hQJ+WSs3IBgzAunOC/ZwdPaUKs1EV7jkO8HB4WMVjN4a3Ibh/fd/yUrpj/qBRuwVo/5ruUifLtam+eSomBrqUylWWG8DLbQ4eVsZIm1x2RKBu7cQfESuhF88DNN/s8PTnB+0c9ru8u1Ju4uSuxtV2UrV81sKZchMAb28usx1q78TDw3uDNUV5bd7L3KS5Ey+jhbl1L2GWNTlSxlZ6Wqy1Vlq0I3Ak6xcdbwCz/c5ofe3qUVJq5Z1+oSk6dSxWqwzk6OTFWuOHlSBJiJdcFoIVNK7J6xuBln7PHho1X2NqXVTWvDjq1zbFrf+ugX77jnSxen+rvC4O7sBCDrn/eUeFvge9e5cZ2ixM5lyVIw9qrXpRR8xvpFDUqpclAUWcoyc0sxFmBmtqAolb8qjaxZPvP5Bu/9ownOLvkQqDXYu5qx9EWpi0iM7bNDCdDjzF3yuSvp+BJPi/E3/463SjIjB7/I31g7dV9kO40VbhttUQBb2MITFyJjbdJHmZ4fx+IYjziybJrW/MKPdFjsSD56awtq6dKxisndzSCJcXFBIEpFV7iBnBmDk7K3Se3EfL8fUdS02FUeeboteDoaLvvT2YpmrcXzfYSQj09N1D7f7VWPqSy/uOLa17J06nP3+ar3cBCUJx5VwT0eaJYLoVSWVhemlHYvBZBjjcFVcKdAViWWXgPcUmpUaDh40uPPbm1yZj4owC3G7lIiUs2dOSdempgY79QpN0JXlkPGX6TsPKa/v0lVkoP5OX9e8r7L23Ss6ZGTsfW4q1IOPIuAM3NcyiyuSw5LEkk2rdO855/02b0tgijT35nDUg5CHZNbW3ZYCi2epAyuS8+NLdmHawWZpQDU5npd5MfBlJY3Y8CgWGyPHv7DP7/jvu/4Z2+oHEdv/MCum9uCEIL5s31GUVKcTMyqjKQUJs3q2areLrF5+aIQwpSqCrOETpHIyZlbGERZpohyxlKjAsOh0x7/+/un+OojNddAWfG6y96387yzMRCeXK211xrmU/mdvAN8DZlC1hUuSky+luNSZOzGXZLsqijvhbNqpFvmj1ty9nabsro6cWHdxlBrFWUJnCQQRqZJIokwIIRBGJmFrGih3KKNxQwtr7lxyC//VJtffP8kh88EjiEgTwC5aqeMJhUWQZKxqyncqqw2Rea6PM1splo9y+9mU7HyasT038pWVijPMCySjrVanV0X7cCY1bSxCuAzW9+ClCo6fvpvGAz3EQbkZbBFE7Kp6O/V8iV7bcZ+ZyzAlGY1wCvg1iW5kromvuHoeY//+vuTfOL2BpFId6MS5f7KAtwSx95Fnfca228Lu0qSsAY4cwCXfqdsBz4ncZd/OHYeMsALVmtx91gqmc1el+rEyUBfyWwWjRDSOAgb4UAu8kxoBvgiis0kS2IsNS/h3a/row384u9Ocuy8AD/9TGVwVySLu5iyFD1pb6fBjXmz6aWQZTdtKmmyKkInP9LVSBTlsNnQqPJWLFJAzYcbrtrMj3zfG6Mk0fz6f/0GAFfBBloT9Z+ZWXfRlb2VU69KdNfpJUmpHruUUl8T2Nlrk7KgSfs7y85JFdhuddD5ayV1eoGU0vCe5ti8z8/9ziSfvKNBJNOt18Ra93LGsjS8Pj2Ia0oTxoLNEnLH/e8KqFeF93/32ziuy3Xhq9P27o9me/tkDD7ulef6u6LDyyCX+Xrv1mgH7qyhOEnA9zTf88YBnoKf/50pjp0PSOcwVy9CY3HLgssWGwQRTkL4UuCXXCGTBvwSJxVtWk+TXcQZqA0irSMvBhEJyIdtCQzTU02uvGzXnRfv2vozw2Fv1XGV429MTTZ49rEvd6Sq70tMoN2ykQZ+Jbekqr2LmpFq4sa9ziRMoctLj6UCqrIOF6L8SuXPQwAAKJhJREFUfoJUmtNLil/43Uk+efsa4F5lC7qD5stql85a7J2BuVzJB2tYUyVAjweY2dmugP7vgO7xAHPcFy/eFGlwVejtTO4YqkP0s7mG5W368jmHmTY3RQIoS+nbNBHkBnpKPA3vet2A/+On2myajUue+Jg/nr2X63Knu6PUYYnSZFDZTUly1yV1XsbS+rnrUnqd7SMqpKBVD/Rkq77vM397e6deb31jgGe3aNT7qVq9/mS2kVOxK7DJJ0lV60rKGcdx8FYBnzN1JkFEJlVK7+UBZYJSBu0L/uizLT7xxQaRKgPaG3ssgVuszliO6+6qri4AutZ4iLL/vZa+zjOZQvxd8V3NZq5K6lR973ICKLcEWc3g5a6foknCgbqa2axmPLVNg0/rUvpGSzxtefcb+/zI23p4Whf24Zog12STMDOQj0wagNos85mCumwhlgLOPDAtg18LEk3+32MFjUbjyZV296cudGzXBPg1N7yOWjDQW7ftsM2GIQzc1taBp/FLs/6KoTu6JFtMzvYXTsGXmb4aQOY2YHZXBjzBl+6r87EvNRjJtAVJlgFdYm8KaVLsq1MCNGWgZx3daW32GGjLCZ+MlMtauwzo7BdWlcl+M+Au/WJFppRYfZVrQuaLM3YBpNOvysA2osrqY6AvF2M5Bs/S+SU215LQWL77DX1e95IBQpvCGy8VZRVOS1ICuwuE49QzH1nh6ljyrKcDsLap+5KydaIFSVYKoJ2ZM9KCKIFhJBgmit0XX2SXu7F++9vesObx9S504Hde8jK0HnyM0VOX6ehk01OFzs4ioqKNKH2d+94lHS7d3rdVF2XcNSmSOiJL5AiN9AzCg7+9p8bP/M4Uzx4O04bhNYBdDixFlq0cDyyriZzqOAjLeAYzA3GlfHNMt1RS92Og/obgHktjrpYnovDAKQeWY5541kVTaVC2lUdT0eNA7p64XYUFhcPi0h8WY5QLfIXzoa2Ga3bH/I9/2+Y/Kbj1nobT49lUTif83T1/rsgaBSyCmFRKAR4CD1tsZmVT3zv9e3l3D6Vd+jTEaR5jy5a53mtfdcvHWs0a/+bvwuAAzcntdtR+9LfnNl6y0Kz1qddGhEGE7yerWDxn6LzSUK/S5eOaexzcQugc3Eq4f1t48Jm76/zc/z3Js0dScK/yuqvSRMg0qKS0M0OmvxkH9XPIjbVcFVbf12TrMTZ+bupe4/2xGpXMKSm/HtfrlZQ9rNLeuS9e1uNl7V2uWymV2hor052WUyaPJFfujPm1n27zT1/Rd3RrzBoS5UKypahjidI6FidbCkYvMqHu/cgIRkYw0IJOIliMJAt9uPbayxe+dO8zv33p7q0XPNQXZHCAydlrsHqRmrmVeNQm1iFap0uXzUKq9JyOsXfVBzfpc1NyXwqQC1FocpXWnODBZ+6p859/d5KnD10I3LJg8pRp/VyarB7ek3XhjLeAPSfYy5gdsxDXKB4sof2b1+Grd9MoHJLs50VdimP1PFNYYfPCE7diLTZ3OluknfdllwUrHbOndSomtWeESKPXUpUMEVxzUcz/+S/bWAufG2fyNW+G8i9ZI4iFs9SVTYkIt4NEPuqvdAFrK4gsJMZikojpVsiN11/K5rmp5zy28rl+GLS2j84ti39x7/5dPd/vEPhRPgKtaB1LtXNptIOzB0t6fBVz6zzQLINbCo2QTnPfel+dn/+dSZ4+HKwNbsbYW47XmpBbUXnNCVX2XiVJKgHjGJjHwU618SG7AqovvzHEyw0P2cks/6za7ZM1Q1T3siw0+v+vvS8Nk6M403wjMrOqq6q7+j7UklonuiUucx/ChgGzBpvxgLHH2B6v18sC6wMfjG12Z1h2xoC9M7axDeNZs/bAM+P1GM9iNAfmMogbAcbcEmoJ3Vd3S92t6u6qrIzYH5kR8UVkdat1IYHne556qjIyKysr880v3+8MxcvpCw4Xp1zd8a442YZ6HiDJIaWnZ3UTwkNUYVg6K8QtnxvChWeMxHx8XE1etZdh6iEjCYQAQkm0uoy1elm9BMOoAMYiIIyqQDSIL12eK01tC/9LZ2dPeaLzO6EG37a9T3h1C1cdfyyGUPpdweMhIs9TbvbU9jEXJ0EercUTTQ3p0BKVhxJrbuYJSI/hvqfr8NXvFfH6+olC8Da4OTMBHeoOTOd5uwW8xth0MwZ1vxMNdmZpefWvNeDH4y3OmMNCyAqmL3yqEBdwjEk6G1oyLsgukjpOprU81eIAUz0OEy4eO6J5Qp/jqAtT0zcknJwjxjCScA2rVLF4Zohvf34IUjI88FQdIjjQUL2WqXqXCT9H3FFL8jgCygBEyZZUe0vE1EVKAS5C5LN1OOeMS4ZOWzZ71a6BzWIiDE+owad0TUV3Z0vfhm3s0t+8fl7Yu6WKwEuOj5nTrkBsgjmC1FOKcQ1K7TVJNLf0GB5+Losv/XURr29Q4E5OjkVL1FQUMUVhAOltQqt0apSdUe2N2prcBnl6TGPX2Y6O769I50WxQGs1Aftda2oVcNdam66ztbakmruGd8UqkBD2u0wqgXQuS4Vh0YwQ37l2EOecNAZPa/LJ8HIR/wthbupIxto8TMAukncJABHDjPZh3Hrd4rCtqXopvLa+TK5nwvM6IcAZy+Lx5zYh5Eu2NLWevk5gFkbL8TzoCtg09G7xaq5AXwPcTCR0JPZzM09A+gwPPJvF577diDUbMtBtplyurWgJ1DhsagK3OodGL2tp7/EoS7rtWk1AU+C7d4DZZJ/grhW+1xFLuHxb+cOpjxwG2CCAFcb41KAHdSPCqv5RRRI2hVHFEY7vPHEfygrDvJ4QP/jKIM49eQzepPzkaZ85LeoQ0iRrCcXRuUR36xScuOyEdfPmztkixFo0NUxI/CcGOABw7mFBy4MbFkyrfnZK9/Eol8nFJhTETqqiY+nIJeNRQksEvIyA9IGHVmXxxb9qxJpNGcianJuCXIHfgNtjtft577PsTHcASGO0prHpaHIbvE71NygrHwfYtcBN1DilIOYXpAG+sLfR4FY3CdIaXQgKcm5pc+pFkTq6qcDukXEF+FibyzLDvOkhvvulQbz35DHwKHFcK00uIkerC+eVcCx9d9sKgjMggwjHLViC19/kn/3Oj57bwPnE4Ab2wcEB4IwTpyIK94L7hW1DO+Vje8vPnRXwfkjG7YOoAXZGswMZ1dyJUZqV2Ngf4KkXM7jhRw1YsyEDmZnAx620NjeJVJqaAKnqnHFpClTOt6wBePsm0GeYRDOpX5ZeBK3dpRmj6ycSfU2l2ZEkfFy7xB0ODkbchizh2hYXh/Z9x6CWJoTPFa5Y0u0mdrOaFACWcHWecG8B5hmvC+IhIAEgCwUWzAhx65cG8ed/K/DMb7PY2O8DGZhtmW9OUMLl9cmRSeaWOtHkJg/LAt3tRZx20oLHPvLB07YN7R0FY/l9AnyfGhwAvKAeI7t/szaTq781KC7GWKUEDjtoQ0vVbJdgpKkK44mvmwl4WYk1WwLceFsDPv/tRqzeuA9wU6qSGHSeBrYkLR/stsc0uUqBcjLek5S2r5lnwiwvS0qtu+O1gO0Ge8ilp+9wx62cE9hUBbC9KWpuH5ibgYbwlU9cSkJNVERTckebm6JlYVEXo8nn94T4/lcH8d+vGcIxU0OgTLV3lXx2tLhVeEofYwIZNowPnDkbxYb6W/9hxTNrGxv2DW5gEhpcSb6pB2BNq9Zu3n3PaGnnJVP5G8hkYk0tpbmAsS9cpGiKiVAKeHUSa7f6uPFvGvDLB/IYEyw2KCcEN+0rGFva1jTbKb5NgE2093hjdvqrAaoerhGDN9SFYZ8qej8kBepUZBJqGhs7SYspYCeZgZb2V+MgmYcgnhYT8eTJstLiAEu+EwPfKqlRKlL5MhjAqwKdzRGu+A8jyGYk/scPi+jdCiDr/lOiCRiLQc5U9rfU+2QQuPyCmfjYxTPuaW2fs6o8tnvS53LSAGd8Lu57csuGkrjgCwvrX/UKhXUX+3wQ5TADKQ0XMq2RDTVhulBYgGckercEuOFvGvDLB/MYQ9Jiaj/ArVyCsUEp05O1uryavnNYvNrl3zpU7BiPrjcl5VEh+5k02mWtTeOLa2llAmb3PV5PDFAV4KEURO1LIJlbPqEsCtQqGVsHiVR+iohD+NyE8DlXrkJy7BTkCcuQ5QhZX+DSc0cBCdxwexHrtsHkk1unKYKuPLYkAioVtNUX0FjfueLMk07+ArB5I2PzJw3wSVEUJe8/fSqO7XxkY6Hl1Ffue2k21m0PwRiSR1hai9Ogjscj8KzAWzt9/PntDbj7gTzG4MXekn3REm5QyRnsKbZh821aY6lzYhxwJgkOejuk1qfBnaIl9Dq5ZHs/tbni3hYPd96tgBChJnR9qjuttPdne1gITRHUyGT6ehrPCy1z44TOKNri0BXhxUZoyFAnJT5y3ihuuHoIMzrCOK2QGp6CUhR1fhNMSImetn5c+7EsPnrh8a888sTL+wVuYD80uJIKn4Y5M6fecsf/2zi7KbP78kIwhMAHgqACzkUCHqO5vcRjUpEML7yUxe2/LOAXD+ZRYUnGDOOIPSS1QvCJWiaoUcFeK1pJ+XaNOkuXilCXIAU3kAa5pZEd7e0amhTj+ysaiJbGVh4TAm5GXIiKhzNp8WuZbKDnjwd06wVdvCMZPB0sUsXL0NOBCFUCh3ji2ZiKqn3SCv74jEjBzZQ/ilowBlkVyPgCl583CgjgtrsL+O3qLMrCT9RrQoMUn0L8BM17QD4AzlgyBZ/+0PyfN01fdkultHG/z+u+/SyO/PDW74M1Ly8PjPb86+zm/uUQlZ66TAW+b8+Ro+bH8fwIo2C4818LuPKmJjz/Rh1CNnEljtbonLoHYWorFUVJMgZNf0FpURVPNyty/OLk3rEyDElbZGs9Z6YYIvnMks/xjaUauCdtkpnanpExs76WD95te8ygPaHOsv19Q6dY+kam2zhj+ia1DG5F7ZizT6k/ay1A73vn3Tz6mI6k+pBYOLuKD793DAODDG+86SNUtZ1aa8cRap8zNHoSM1o45k/vePyyy4+/jA29sjffcuZ+A3y/NTgA3PDF87Fz6wsjkO+vDG7+KXxe0ZFNU6wQwc9EKAmGv1tRwH/7UQP2DAdGa+skKce/TekKAbdp++Bq77R3xMo5UeBAjYs9zkW3LpaltWmuic22FXhTMo46l4b2JgPpbaU1lrgNE6VeK2RveHiN1FqmytgIjVFURQCMJ3xcHYuMax+NoRmPccTcPCbj0JxbcXPOzORtLJmCgfM47uMzibaGCDddPQzPA+68tx6lCuKLyox/XEiOUlXAzzXhkg9dXFn5JBtZfsbyA4HqgQEcAFra5gAQzxa8pacN7diWY6jqYI7nxU3oe3d6+NWjedz0fwi4uaIkLj2p9a56WxtqQitzLDoC6Wg0mQaxzlu36cq+3mtycWZAPxGe2bhrHDDDBSkZV8vOOn0TkOxBdSPEU42YqCCTaqaztGdFMlKlD+VLj6cn5EJAgkNyoQNITBm1SHziIAYoAJZo5hj7MnFtM0gWgYUCLfUR/ueVQ6gLJFY8UsDaXQxg1fi6ywhCevCzPs46c9noooVznvVUxfEByAF/0880wvNxfV3LB77LMgvGGMIE2CGCTBVPvx7gmm824/rbm9BfSiZ/0l2nJqIn1N8dH2AAQ01MwbAdxLEa9zDnkQ8HuBSXWmOPF7ypEbJ3T0ZNI3PyTJzy79orYfnIAQJO62t2hqFrpFq5K4JsK0zY3m4FZ4xSkyNujFAVxrfXK1+63XMl9p37cQetiofmvMA3rxrC978xgFMXjQKVKhDFXbN4GOL0pTPGrv7o2d/NBvL69pZ6HKgc+K0BgPFmsWf7IzdkclO+laufUqnLjCGbDfHkqwGu+2ET7n+mHuUwA3hm2hCTCUia0qfAnTz+GQ3FJ9mBpJ83rY43RibxnMAeGy8HJQV2d2w8A5SlNomXJfZf3PtBg5K5w1Yo3gW1yTB0azRp4pUDdu1Z4TagdbMg29NiUm+Thp5O0YTtXUk8KtJDJHxEwkdV+KiGAQKP44KTx3DLNbtx2pK9QKUClMewcFZrZU5Px7fu/NWzNzQ3Nop9nbqJ5IApipJC3UAFvP1mP+qqbN228ca77qvyux9pxItr64A6pa2Vm0KBN1Gxih0z+jJ8QPu7E4NRtVuzck1casLTmYMpMDtAHpeTj6vxaxAPlgb6pJQ44dnjKnFKS2pQFE03dI4pg5AipgVJuwZmaWfHZ648K8kksCpiLhNebuW0KPpBaErMQuIAURzR50mpYtzsM+5vwmLPWjJLrIBEJCS8aoQzFlfxgy/vwc8eGsW9T3SLmdNab+zqbv3r7Tv6KzhImfxzdALZ1PsTdLTULf6XlZt+94nrnvZKYR2QDYghSa1uY2Hrz5qXG3C7RqXP7N4mcXaZnW/iuXPL0xuCu2POdtwEeDxNb1jKkxI/VRjxtDCyPvnM4s+MeFI85YnhLH0s3PnM1MQCaowev3S2Mf0gtdfIaa9ntbp2G6DSBk5k6nTTP9K0wzbJc7Qvjilyofn/ugsaTalObCB1pyq7yPMiZLMVDJdCPLz6I9GWwUXH1vl7X/3sxz560Ng8aA0OAKVoETJNrW/KTNfVF3+gePvP73+BS6hcbiJStUNSt1ctza7qJ9PT+qV83JBpjTuO9k2N0UMAs5atw3PHrD/EUt+hGzG63jUMida2z1F6nRvR1Nsk2pclDm7tPWHUYLW7YsWa3iReCZZod6Y0MWJviUAy56VjgGpNzgEuwKFSNTikjtfHWwqRgD35XfMXnbNYFQjDAIWW5eK805Ze/dz6496c3rL/Pu9aclAcXMmCeafgN89WKh9+/zl31Bcbvrxg5jQAHpgXxC8ewMwL71ASB9wMMbh1hiBsUDP3M5zwPLBPqkFfFiApzRhnnQYsKLDHQ+vkRY7zXSuyCcqfncQrsg/KrWmE1O6xkoCOJmxZ7sdaSVnUc2KM0fGKJ2hhM51dIop8VKsBwjCDMMxgrOxjTMzGSKXxyw1t77/j7CXbK8fMPeVQQPPQABwA3nfKIry5YUf0l5+7uPfaPz5jeGZHHoGootGXyPkA01W/OkqCmuBOqIiV7go39RU650VNWzg+oGuUoyVSy9BMpcSSV7ze1tppan4ArE/W/GiS6WAa/mjjMVlvhevp95MF6tdOA9gGrWVwwhiRVqN9p9eKDutb3pf0C9p4jT0rlTBAOcygWgWY34pM0weHc22f7C2PbI38/PGHCpaHDuAA0NyQw+btO1dcdO6x11z18fcNLOhuQLNfRYF0C9WGZTrJQ1MTWn1j6Aj9Js0vkSmtPi7YUWOcsZRGdhVzreCPfnPpi7PNZIRq4niZpbSy2s4sO5U+Sltb+ShIgE/3l9biVrcsnWXI0h2zKHhVmL5WyZx+UtjgVidFSI4oCjC0N4ty1IXGKRcNNHWddE2Q2byCeQfuEqwlh4SDK2lvbQQA7OgbuuvKy5b7U+rZLf92/6Ptz6/bg4FdMDFwfV8ZpKhRbUDCoR8ORdGpKjDgB/mstTcIHSHAtCgKkKInqWAP2c4skDf35nC2qSVS1uDvQDqqSTi3ZkMk+KP5ODP5K3aeeDJlSJLzof3bTBU/AIJL4hmJf8DcEBwymc0hDuAQ7wqTOpVWJgebPONir05ykMqg5FzA9yNs7avD7uEezOtevivbdNafVsPwriC75FDCUePhkEtnWxFMVH5yyYWnf/0zly3a9fk/3I15nX1gUdWoK0ddcgpyOBwbNcDubGfdABz2BFIwP0UYEZQZ6LoQmYtWouX1fpxQPV1gE4B6XHEzCMln131Yi5ZQyiIJcbeMTR0AohpWzZRgNLVwKYyEzcNTxcxknzDa3FjFTLErBH4VG3aW8YN767B5eOmuzulnf71cFj8Jsk2HAYmHCeAA0NjUiL27Hrpj0dy66847tWVgelcIBj/tWYHRnDTF1SzTlmpupqB0vlcD0EgblTq/p5ahqRZZGrwucNk4n+3U4UmindiprvdELbiURY8ro08blYZaqPFxKQoAOIAGWZ+u/HF5tjFeoSkLpUnqjym+7mHtZo7dpRkDfcO5626/88E78oWGQ4o9KocN4ADQPecSsMKSvw/artzV3n4qilkZ9wVwLipV5hbFkDRJimQBEu5dm2PLFKjpektLA+PSEzAX6Pa8mPb/qO1q3KcQQFnDNTQ5CGhsYDmhedjRSlAgg2pxt+RtfCMx3ZIZKXDbfyE5o+QG9DyJvj15LJx93PDFyzs/5wf9d1575QcPNewsOawAB4CmtvnVlo6Fn1k2d+Yn/uTCjrG2XF/cOpQA0H06u0DdZ6OehJbEuVnS7MPalwNkIK3BFVDpRjXE5uFsctuNI3Kcz+42pHFa6gt2+N3W+hTcZq6f8bQ49Jw4phLfUBJrNjeq8S1wk0/kCRD4EfqHS+jtX1z2sgv/06cubP35x8/NHFQYfjJy2AGeC5hc9dg/PPGVP2r82TFzWq4447g5Y76IUMfjYmumTgSSyT9h7CaaBTjezAy1UmIt7V1DO8MBu/uCtczsZUdzuxhOeWL2R2pocemuI6A12piucpOmzPbxRsy6CSwtTjwndk9x03Rer1M8m9x4lmJKrmLsMfFRrQIIlpRnL/r4cH7KFU9uqfxB1DHnk4cbfocf4ABw/oWfwi33bIk+9eniP83tmf3J971nxkiORcgyCU/5a4Vp8qJOFjUkTe43mSA0BXR7+hHXg2LAazNjK/d7Iu5N+InL9dPon7yoNG/1GeQcUPCq91TwB7a7Lx6kiVXMuinU79gBHkZuGuK/do1Ld8YIndRO2/TFbbMBQEQc5QrHiDh2JJef/4nWjtlL2zsy29ramg8v6BI5pG7CieQbV30GpeGfydseXf2LK06b7UuI23vXb2kcGKliKGQQzIOAF08zh9idpbk3MSq1t8UFt9YnCThSoLY1tNqG+sBTvJx+n9nrLKmhyQ9Mhceigcls76B2KyYDqpDBJQj0u3ScqbB9khosZTLJE+JxHUhS2hew8rzpXcYE0yVx+vwyoau5GBMojQoMlQrIN0wbLDRMuaop88Qvtm8uoHn+fzw8IKsh+12ydjDy2AO/xJ9c8WlcckLzKzOmtG49dVnz2a3Ft/K9G/dibNTXDu5MUmgf8Lgm2ffItNtWEpI6sTVSYUFuAJIbrsrLLF6vgqskicr42xlxP9LSMzPGEu1txu0StvTYBEEpBmd7ewwwN6NlQCePEXV8mpox0hw0uQ6WEY1aRnQNHkZ5iNqWdDPzPAHfj3vH57IVDJVG8dTqDgQN5/f7mflf3NLf8/f1hQBdx1z1dkLu7dPgSn5846fwYwBS9t0JBP59Dxdvfu7V37SHGwdQCut1ZqEK1auMQZMq63Jvp78JDLhraXEqNKHRDfyoDZi1MVkFW6u76/YlqViOrP3FWPNCOSQMlUHtQJHW3paWt0EMnUIb636BOMijAkTu0Ymk2ZRUfQ4T+hExnhQjx017OBOoy5YxUi4jRBemz/7QrqaOD31NyPDOM048fK7AieQgHqQHL29tGQNj7DPPPH//TZvW3dX+4xUh1uyYimLOR9EXyPkSgZcUFdMCYRjODRhtC6QLbPelwY2WdwqOU9ua9FezDdHkjJF90GJkZml/vY7bx8CYKVc1abz2k4mOWZ85CYDR9FhOaJ2eUoaM6TlMqf0ik/OoJlyVzlMymTHPMxOSZYIq6jJl1OdK6N0+hH9eNR2XfeBju5YsPffrgLyDsSMDbuAIaHAqM6fWQcqhO3ouOr1aLu39TsQfav6zHzNkmEDGiylKkLRO8chF0EadrMWjHS8Kxr+L9eOZfM+Ms9rbEnGVrj6uAxCtN51wfC0NrX6HcnOtpWlYXxmWbJxjp94VqtmZMTqZfiIo2iMhkuZByr/NOUc18iDg47HX5iPTctlukV/+1Tc2Bn+3cEaAIylHFOAAwFgRUo7eFdSdN7Bkft+cT36w+K1/u/+ZwAND4DFkPMDnUk+nbaGKApho8X2BzAIrs4HJnI0ojaHrbYOWpb9/IOLklWjDMtmxS1GU0agMzxjMJCecGKVqnTEh6R81rhqdy8LUDRD/sNmKJdOAm5Z9DBEYGGTuvLCjy7vurDNP7W0oBP/S2nhkwQ0cBQAHAMZy4pkXVq848fgrMhWxZqQlx29b+cSLTISjPBewuD2KE8igrrJa4XmzczrOaq6zvCDESDWrmQV2aojV3N9BiM2ZjVbVHSNYnMREmbJyBTKlkic6Dkn2S86NNKob9m0Ub0Enn1U8PeQcQkj4Qb2obz9O+oWF//Wyixb/tDK2rVJsXHTwJ+MQyFEBcAA45YT5eHLV65XZPZ13jY5VHqmWRy7r27njL7Zv2wrf9/REoUKQCJv6sqPJgTRIU0LWu94F5ug3F9Sx7AtJh140haE4ZmYdDf7ojlfa4hz/qNVs1uofS0hT5UP2J5JJWiPBUK0ySBGhvXMa8o1tf5YvzvlFNte9qTK6tVJsPfRZgQcqb0ugZ7Jy+kkLsWzRzNFdO3esaetecPNpJ8658fSTF0RNDRlwCO0iTDk74AJx8qLca6mMQldjO2Nvt9RKwHIDPCboYoBJv7vP33ByVuj5lTKehbgaMYShxFgli2xxQcTr5t84/4Sem3cPDKwpNM4ZPZrAbc7EUSj/9+f/hI9e/mHs2d3/lz/71cNffvjRF7KiXMJYuYqRcjzNMwM0N7eMxBrcXBcROx4LL+XZYI53gxEvjONVUTcFtz0lZrvxvSie4293/fLGy2Jy2o2P3mRYcm6WTXExSNGxKkaWNbwt0najJr+ljEmWeFoY4pySob1xy4fO9gBt3ceXO6Zf8FdtrU3XP7FyBc44++IjDZmactQCHABGSsN4bXMJbQ3BTb2960976P77+N7R0mkPPrvbb8x5CHwCBPWHahh7NGjjEYAbIDnV8xpszAYgp7OsHVqAW+9WQ92JE87ojUCr7XXVvSdtgOtK+njfKePZcr2aiX0z/hjWbp9W9bzGp9533ntF+5RpTzG29+tDw91oLBaONFTGlaMa4FSeXXU3Whr9hpfeHP3bO+/d/JHSzm18qDSCfNaD5xCttImEFIAVwD1ug8/2jzPST5x+JgCngNY3gNt8cxIanOxbAxy2tkYK6AT8WnMjaZBkAO1xs+yRdhFKGaSClAnwPSbhexV4fh6dXY1izY5j/nHnYPN/rsuUh//40j860pCYlLxjAA4Az768HvlcXdumTVu/8Pjjzy3Zvmvwkt61a+F5PiR40tcj/ldCmEbtStPFHN4A3OMA91hCUxyAc6O9433E66AADaQBngrHM0J/agPcDS5Z6QMwmprmxlhdZ0nxNdXenmeA7nnOO1eThcX/TSRTnACxxueMoRIC1SjE1GkzEGRa7pky47hXmlumfC+sjPXlivOONBQmLe8ogCt5Y+1GFBvqZ7z40hvfXb167SW7tj2PVa8NY2wsi2I+vvqVKlAJY+3kcfpi5rNnljlPg5DmfNhBpMSn4gJca3kb8PF+mfMbtaKslGfXALj1m2mQGwqCFLB9Lwa178kkISpeJ8FQqXBUqvFjMF9XwWBpFJv7OnDKCcswvWfOPW1d875YKZc2NDT1HOAVO3LyjgQ4AGzf0Qff9+euW79pWXP9ri/89N7es19+cQ2y2AvmBVi/SyKqyjgi6ss4ccsDfC8GtO/ZAFedp6zkKgJkdbJqApwA26QM0NC+A/Aana0oYO3ldJdc/dvJQdXi4AbYgO/FgPYTgPu+QOAJBEGEwBeohBxvbS2gUhWY0R2gvXs6dowct3LutObvTZ3W81K1Wl2br2890pf8gOSo8YPvr3R1tgHAWinlWgCvTO/xpix/z+Ifbd7w5ty31r/qDcndeO51D9MaA/hcmvlqiCc4pREZMwYls7P1AMWDbdBrSSJPkmT56Up3NwYPsl8yVDPhi2xMubIkvnAh1U0n44OXElwHZWJfuElKS/K2uUQmiNDRMoCnXwnw5uYi3nPCidHMBbPXtjYNXLm486xtUmKNz9+xOhDAOxjgShJtumZgYGBNFIkLuloLU89/73F3dz24ovi7t/oLkazAS5qzCwYnf9nuJUg9KjQ6av3eOMeRBl8cJ2cJuFPtyhSfh7nRJvoNN+xOx8HigIYUyQZgcUs2IfV0lkp4Um0TRXGgJp/PIMwsLF148R8O5bO4tLl92hbm8Q0ee2cDe6Jz+Y4VGaOXA3san3yh99Tt/fx/r3tzTfX119a0rN3Q18ARIetLBD6QCTgCn8XJXB6LjU0Ccmu/8c6TM+bkVSdq2DU6AZvTe3r/TPN/i6IAKX5t+aP1sjkmWpisvudpegL4nkTgi5iieREygUCuTiAbAFXWOdzVPWegZ8ZMv2+If7bqL3161tTCYFiFyATvHli84zU4lQRY4pXe7bvb2mb+WrLBeV+7/u7y3T+95Sv3/vqZT6xZ3RtGYWmBENW68tgIIBkY43HARxubTBuHMYgkIjFBYJ7QD5MzQmZTgN33zwIyHO8J7B+xfo85n5OCXjWVt051JbkmqrzP4xJBLo9MxhsrNARvdHTODFq6T7/rvn/80/81c85fZKd0No1JOSAYO7RdpY4GeffcquPIq6s3IBP47O4Vj6Ol6HvNjYXbRkbG5q1b/9aZfbt2eJVyOUlSqiITeOCcJ9o2nl2sEgpUI6HnKFXUBrCNTMCmDsYrEmtu3+PwPK6NW98nrkon/UCSfbgaXN0MUgJhlaEcxvRL7VdKCY4qcjkf2QxHLpdFR0d71Nk1/fFMJremGu69Op8tRe3Tl0OKqmxomnWkL9FhlXc9wF3p69+Dumy2eVd/3zfvu++hzLr1G6JiMX9CxmcnbtzWh5HhYRQLARobMmBcYmBPFcMlkTzymY5mAranBYhnDSZMBqovuOcx+B5D4HP4ihb5CSiddheq1YISTtyE8TIQBHEK8Z5hYOduAQaGuqxAsSCQy9WhLt+JXBbPQ46+0NbR451w0jmVYmPLN8JKZXe+0HikL8HbKu8qijIZaWttAoDdAK4CgEceXQkAZ0NUz2/YNHwpD0fm12dDjA6tQ2vDIJ5+ZQiv9AboamEo1mfgcY4oEpBg8AnnFolbQwipNbCa5pwxDsGZpZm1q5KbxqQScUKTFMSoZCxpJA9UI4ZICgReBe0tFWzpj7BhZwFTWnM4ftECTJ8SoKnorR7Y2353Ph/cDylXnnjS/k+9926S3zuAu3LO8rMBYOWaTQMru+fisRyvzgnHBsVLq7aLmT31s4a9477WN7oLs7oCZNgAtmzvw87+CHUZjoZCxoTzJUO5EiGsJk0sET8efRVR9EiORwLuwI/91EwRdgaUKxJhGH+f85hy+DxEXaaKLXskvEw75s+bgWntw2id3oW9Ys/Norx3/QknnsKndjfyfEH2Avg1Y11H+tQeFfJ7R1EmK6+92YdcXaZp3catZ//2dy+joykIlx5TuHZguPoHO/oFMp7A6jdexuDgEACO7g5g044KNm4NUchWUa4IlEOJjM9QyHso5HxkAw+ZgCGbAepzEg2FeBbgsQpQDj10tXHsHOR4a2uAqW1xR9dMXREnnbgM9XmJHbsFBvdmHpjeXv5Oa3FvMKVnKbL101ZClvcw3nmkT9lRKb/3Gnw8WXRMGwDsAXAvAIwObwNjeGOwVO3sKUEwWcWObW+hVBqBBEdLo8TWvjA85+xTbmjMjVzUv2cs3LUbCHygWPBQyHnwfZ5QE4b6nEBTQxxJ3DEQoTRWH8ycWfjnzc88ccNYJRtkswGq1SqydQXMmLUQ+TxHc6fkpbFgB2NYP2tW95E+Re8I+XcNfgjl4UeegATr9KKdjTv6R+X2vpiKFAse8jkPnqcSrWKAN9bHAN+8s4rSWJEtXdA1KKTcsWDxoZm+498F+P/fqlWu7xHAdwAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxNzoxOTo1MSswMDowMHCQM20AAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTc6MTk6NTErMDA6MDABzYvRAAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25695229
    {'hecke_orbit_code': 4507447951622774, 'n': 1, 'trace_an': 16}
  • id: 25695230
    {'hecke_orbit_code': 4507447951622774, 'n': 2, 'trace_an': 0}
  • id: 25695231
    {'hecke_orbit_code': 4507447951622774, 'n': 3, 'trace_an': 0}
  • id: 25695232
    {'hecke_orbit_code': 4507447951622774, 'n': 4, 'trace_an': 0}
  • id: 25695233
    {'hecke_orbit_code': 4507447951622774, 'n': 5, 'trace_an': 0}
  • id: 25695234
    {'hecke_orbit_code': 4507447951622774, 'n': 6, 'trace_an': 0}
  • id: 25695235
    {'hecke_orbit_code': 4507447951622774, 'n': 7, 'trace_an': 12}
  • id: 25695236
    {'hecke_orbit_code': 4507447951622774, 'n': 8, 'trace_an': 0}
  • id: 25695237
    {'hecke_orbit_code': 4507447951622774, 'n': 9, 'trace_an': 0}
  • id: 25695238
    {'hecke_orbit_code': 4507447951622774, 'n': 10, 'trace_an': 0}
  • id: 25695239
    {'hecke_orbit_code': 4507447951622774, 'n': 11, 'trace_an': 0}
  • id: 25695240
    {'hecke_orbit_code': 4507447951622774, 'n': 12, 'trace_an': 0}
  • id: 25695241
    {'hecke_orbit_code': 4507447951622774, 'n': 13, 'trace_an': 16}
  • id: 25695242
    {'hecke_orbit_code': 4507447951622774, 'n': 14, 'trace_an': 0}
  • id: 25695243
    {'hecke_orbit_code': 4507447951622774, 'n': 15, 'trace_an': 0}
  • id: 25695244
    {'hecke_orbit_code': 4507447951622774, 'n': 16, 'trace_an': 8}
  • id: 25695245
    {'hecke_orbit_code': 4507447951622774, 'n': 17, 'trace_an': 0}
  • id: 25695246
    {'hecke_orbit_code': 4507447951622774, 'n': 18, 'trace_an': 0}
  • id: 25695247
    {'hecke_orbit_code': 4507447951622774, 'n': 19, 'trace_an': 0}
  • id: 25695248
    {'hecke_orbit_code': 4507447951622774, 'n': 20, 'trace_an': 0}
  • id: 25695249
    {'hecke_orbit_code': 4507447951622774, 'n': 21, 'trace_an': 0}
  • id: 25695250
    {'hecke_orbit_code': 4507447951622774, 'n': 22, 'trace_an': 8}
  • id: 25695251
    {'hecke_orbit_code': 4507447951622774, 'n': 23, 'trace_an': 0}
  • id: 25695252
    {'hecke_orbit_code': 4507447951622774, 'n': 24, 'trace_an': 0}
  • id: 25695253
    {'hecke_orbit_code': 4507447951622774, 'n': 25, 'trace_an': 0}
  • id: 25695254
    {'hecke_orbit_code': 4507447951622774, 'n': 26, 'trace_an': 0}
  • id: 25695255
    {'hecke_orbit_code': 4507447951622774, 'n': 27, 'trace_an': 0}
  • id: 25695256
    {'hecke_orbit_code': 4507447951622774, 'n': 28, 'trace_an': -12}
  • id: 25695257
    {'hecke_orbit_code': 4507447951622774, 'n': 29, 'trace_an': 0}
  • id: 25695258
    {'hecke_orbit_code': 4507447951622774, 'n': 30, 'trace_an': 0}
  • id: 25695259
    {'hecke_orbit_code': 4507447951622774, 'n': 31, 'trace_an': 24}
  • id: 25695260
    {'hecke_orbit_code': 4507447951622774, 'n': 32, 'trace_an': 0}
  • id: 25695261
    {'hecke_orbit_code': 4507447951622774, 'n': 33, 'trace_an': 0}
  • id: 25695262
    {'hecke_orbit_code': 4507447951622774, 'n': 34, 'trace_an': 0}
  • id: 25695263
    {'hecke_orbit_code': 4507447951622774, 'n': 35, 'trace_an': 0}
  • id: 25695264
    {'hecke_orbit_code': 4507447951622774, 'n': 36, 'trace_an': 0}
  • id: 25695265
    {'hecke_orbit_code': 4507447951622774, 'n': 37, 'trace_an': -40}
  • id: 25695266
    {'hecke_orbit_code': 4507447951622774, 'n': 38, 'trace_an': 0}
  • id: 25695267
    {'hecke_orbit_code': 4507447951622774, 'n': 39, 'trace_an': 0}
  • id: 25695268
    {'hecke_orbit_code': 4507447951622774, 'n': 40, 'trace_an': 12}
  • id: 25695269
    {'hecke_orbit_code': 4507447951622774, 'n': 41, 'trace_an': 0}
  • id: 25695270
    {'hecke_orbit_code': 4507447951622774, 'n': 42, 'trace_an': 0}
  • id: 25695271
    {'hecke_orbit_code': 4507447951622774, 'n': 43, 'trace_an': -16}
  • id: 25695272
    {'hecke_orbit_code': 4507447951622774, 'n': 44, 'trace_an': 0}
  • id: 25695273
    {'hecke_orbit_code': 4507447951622774, 'n': 45, 'trace_an': 0}
  • id: 25695274
    {'hecke_orbit_code': 4507447951622774, 'n': 46, 'trace_an': -40}
  • id: 25695275
    {'hecke_orbit_code': 4507447951622774, 'n': 47, 'trace_an': 0}
  • id: 25695276
    {'hecke_orbit_code': 4507447951622774, 'n': 48, 'trace_an': 0}
  • id: 25695277
    {'hecke_orbit_code': 4507447951622774, 'n': 49, 'trace_an': 0}
  • id: 25695278
    {'hecke_orbit_code': 4507447951622774, 'n': 50, 'trace_an': 0}
  • id: 25695279
    {'hecke_orbit_code': 4507447951622774, 'n': 51, 'trace_an': 0}
  • id: 25695280
    {'hecke_orbit_code': 4507447951622774, 'n': 52, 'trace_an': 8}
  • id: 25695281
    {'hecke_orbit_code': 4507447951622774, 'n': 53, 'trace_an': 0}
  • id: 25695282
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  • id: 25695481
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  • id: 25695482
    {'hecke_orbit_code': 4507447951622774, 'n': 971, 'trace_an': 0}
  • id: 25695483
    {'hecke_orbit_code': 4507447951622774, 'n': 977, 'trace_an': 0}
  • id: 25695484
    {'hecke_orbit_code': 4507447951622774, 'n': 983, 'trace_an': 0}
  • id: 25695485
    {'hecke_orbit_code': 4507447951622774, 'n': 991, 'trace_an': -112}
  • id: 25695486
    {'hecke_orbit_code': 4507447951622774, 'n': 997, 'trace_an': 40}